diff --git a/Ideas/Mini project idea #1.docx b/Ideas/Mini project idea #1.docx new file mode 100644 index 0000000..da71dac Binary files /dev/null and b/Ideas/Mini project idea #1.docx differ diff --git a/Ideas/Mini project idea #2.docx b/Ideas/Mini project idea #2.docx new file mode 100644 index 0000000..5cb8ea7 Binary files /dev/null and b/Ideas/Mini project idea #2.docx differ diff --git a/final project/Notebooks/E_Scooter_Clean (1).ipynb b/final project/Notebooks/E_Scooter_Clean (1).ipynb new file mode 100644 index 0000000..35e7f3e --- /dev/null +++ b/final project/Notebooks/E_Scooter_Clean (1).ipynb @@ -0,0 +1,2012 @@ +{ + "nbformat": 4, + "nbformat_minor": 0, + "metadata": { + "colab": { + "provenance": [], + "machine_shape": "hm", + "gpuType": "V6E1" + }, + "kernelspec": { + "name": "python3", + "display_name": "Python 3" + }, + "language_info": { + "name": "python" + }, + "accelerator": "TPU" + }, + "cells": [ + { + "cell_type": "markdown", + "source": [ + "# Data cleaning for E-scooters in Chicago\n", + "\n", + "# Name: Robin Nguyen\n", + "\n", + "**This mini project is part of a bigger project where we analyze the correlations and effects of e-scooters usage with congestion points in Chicago and whether it has a micro or macro effects when other implications are holded. This mini project looks into the E-scooters dataset from Chicago Data Portal and Explainatory Data Analysis**\n", + "\n", + "### Import libraries\n" + ], + "metadata": { + "id": "TJf_3iA1SzpG" + } + }, + { + "cell_type": "code", + "source": [ + "# Core Libraries\n", + "import pandas as pd # Data manipulation\n", + "import numpy as np # Numerical computations\n", + "import os\n", + "import glob\n", + "import re\n", + "import warnings\n", + "\n", + "# Visualization Libraries\n", + "import matplotlib.pyplot as plt # Plotting\n", + "import seaborn as sns # Advanced visualization\n", + "from matplotlib.ticker import NullFormatter, FuncFormatter # Formatting\n", + "\n", + "# Machine Learning Libraries\n", + "from sklearn.ensemble import RandomForestClassifier, GradientBoostingClassifier\n", + "from sklearn.model_selection import train_test_split\n", + "from sklearn.metrics import (\n", + " accuracy_score,\n", + " precision_score,\n", + " recall_score,\n", + " f1_score,\n", + " classification_report,\n", + ")\n", + "from sklearn.feature_extraction.text import TfidfVectorizer, CountVectorizer, TfidfTransformer\n", + "from sklearn.pipeline import Pipeline\n", + "from sklearn.utils import resample, shuffle\n", + "from sklearn.tree import export_text" + ], + "metadata": { + "id": "X8dQcT8jTozF" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "from google.colab import drive\n", + "drive.mount('/content/drive')" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 304 + }, + "id": "egY185uvUk2Y", + "outputId": "c393fe69-6b90-4c51-ff1c-fdf5a35f8b10" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "error", + "ename": "MessageError", + "evalue": "Error: credential propagation was unsuccessful", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mMessageError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m/tmp/ipykernel_509/1408506528.py\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0mgoogle\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcolab\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mdrive\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mdrive\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmount\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'/content/drive'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[0;32m/usr/local/lib/python3.12/dist-packages/google/colab/drive.py\u001b[0m in \u001b[0;36mmount\u001b[0;34m(mountpoint, force_remount, timeout_ms, readonly)\u001b[0m\n\u001b[1;32m 95\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mmount\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmountpoint\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mforce_remount\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtimeout_ms\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m120000\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mreadonly\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 96\u001b[0m \u001b[0;34m\"\"\"Mount your Google Drive at the specified mountpoint path.\"\"\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 97\u001b[0;31m return _mount(\n\u001b[0m\u001b[1;32m 98\u001b[0m \u001b[0mmountpoint\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 99\u001b[0m \u001b[0mforce_remount\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mforce_remount\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/usr/local/lib/python3.12/dist-packages/google/colab/drive.py\u001b[0m in \u001b[0;36m_mount\u001b[0;34m(mountpoint, force_remount, timeout_ms, ephemeral, readonly)\u001b[0m\n\u001b[1;32m 132\u001b[0m )\n\u001b[1;32m 133\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mephemeral\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 134\u001b[0;31m _message.blocking_request(\n\u001b[0m\u001b[1;32m 135\u001b[0m \u001b[0;34m'request_auth'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 136\u001b[0m \u001b[0mrequest\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m{\u001b[0m\u001b[0;34m'authType'\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;34m'dfs_ephemeral'\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/usr/local/lib/python3.12/dist-packages/google/colab/_message.py\u001b[0m in \u001b[0;36mblocking_request\u001b[0;34m(request_type, request, timeout_sec, parent)\u001b[0m\n\u001b[1;32m 174\u001b[0m \u001b[0mrequest_type\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrequest\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mparent\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mparent\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mexpect_reply\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 175\u001b[0m )\n\u001b[0;32m--> 176\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mread_reply_from_input\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrequest_id\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtimeout_sec\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[0;32m/usr/local/lib/python3.12/dist-packages/google/colab/_message.py\u001b[0m in \u001b[0;36mread_reply_from_input\u001b[0;34m(message_id, timeout_sec)\u001b[0m\n\u001b[1;32m 101\u001b[0m ):\n\u001b[1;32m 102\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0;34m'error'\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mreply\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 103\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0mMessageError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mreply\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'error'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 104\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mreply\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'data'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 105\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mMessageError\u001b[0m: Error: credential propagation was unsuccessful" + ] + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "## 1. DATA PROCESSING" + ], + "metadata": { + "id": "FYqvv6g2XnyF" + } + }, + { + "cell_type": "code", + "metadata": { + "id": "b6492757" + }, + "source": [ + "# List CSV files\n", + "csv_files = [\n", + " \"/content/drive/My Drive/data 400/data/uncombined_data/E-Scooter_Trips_2022.csv\",\n", + " \"/content/drive/My Drive/data 400/data/uncombined_data/E-Scooter_Trips_2023.csv\",\n", + " \"/content/drive/My Drive/data 400/data/uncombined_data/E-Scooter_Trips_2024.csv\",\n", + " \"/content/drive/My Drive/data 400/data/uncombined_data/E-Scooter_Trips_2025.csv\"\n", + "]\n", + "\n", + "# Output file path\n", + "output_file = \"/content/drive/My Drive/data 400/data/combined_data/2022_2025data.csv\"\n", + "\n", + "# Remove the output file if it already exists\n", + "if os.path.exists(output_file):\n", + " os.remove(output_file)\n", + "\n", + "# Define chunk size\n", + "chunk_size = 100_000\n", + "\n", + "# Process files in chunks\n", + "for file in csv_files:\n", + " print(f\"Processing file: {file}\")\n", + " for chunk in pd.read_csv(file, chunksize=chunk_size, low_memory=False):\n", + " # Append each chunk to the output file\n", + " chunk.to_csv(output_file, mode='a', header=not os.path.exists(output_file), index=False)\n", + "\n", + "print(f\"All files combined and saved to {output_file}\")" + ], + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": [ + "## 2. Clean Data\n", + "\n" + ], + "metadata": { + "id": "kUD8k4R-XylI" + } + }, + { + "cell_type": "code", + "source": [ + "# Import df\n", + "file_path = \"/content/drive/My Drive/data 400/data/combined_data/2022_2025data.csv\"\n", + "df= pd.read_csv(file_path)" + ], + "metadata": { + "id": "fu1ZMJ5_X6QM" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "# Create a copy\n", + "copy_df = df.copy()" + ], + "metadata": { + "id": "KJoeL1mDYLZ5" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "# Convert 'Start Time' and 'End Time' to datetime objects\n", + "copy_df['Start Time'] = pd.to_datetime(copy_df['Start Time'])\n", + "copy_df['End Time'] = pd.to_datetime(copy_df['End Time'])\n", + "\n", + "# Create new columns for the day of the week\n", + "copy_df['Start Day of Week'] = copy_df['Start Time'].dt.day_name()\n", + "copy_df['End Day of Week'] = copy_df['End Time'].dt.day_name()\n", + "\n", + "# Create new columns for the date component\n", + "copy_df['Start Date'] = copy_df['Start Time'].dt.date\n", + "copy_df['End Date'] = copy_df['End Time'].dt.date\n", + "\n", + "# Extract only the time component from the datetime objects\n", + "copy_df['Start Time'] = copy_df['Start Time'].dt.time\n", + "copy_df['End Time'] = copy_df['End Time'].dt.time\n", + "\n", + "# Preview the changes\n", + "display(copy_df[['Start Time', 'Start Day of Week', 'Start Date', 'End Time', 'End Day of Week', 'End Date']].head())" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 206 + }, + "id": "r8UdTSB7d37J", + "outputId": "11e49d4e-c4e8-45c9-a1c9-afcaec8afc06" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + " Start Time Start Day of Week Start Date End Time End Day of Week \\\n", + "0 09:00:00 Tuesday 2022-05-10 09:00:00 Tuesday \n", + "1 09:00:00 Tuesday 2022-05-10 09:00:00 Tuesday \n", + "2 09:00:00 Tuesday 2022-05-10 09:00:00 Tuesday \n", + "3 09:00:00 Tuesday 2022-05-10 10:00:00 Tuesday \n", + "4 10:00:00 Tuesday 2022-05-10 10:00:00 Tuesday \n", + "\n", + " End Date \n", + "0 2022-05-10 \n", + "1 2022-05-10 \n", + "2 2022-05-10 \n", + "3 2022-05-10 \n", + "4 2022-05-10 " + ], + "text/html": [ + "\n", + "
\n", + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Start TimeStart Day of WeekStart DateEnd TimeEnd Day of WeekEnd Date
009:00:00Tuesday2022-05-1009:00:00Tuesday2022-05-10
109:00:00Tuesday2022-05-1009:00:00Tuesday2022-05-10
209:00:00Tuesday2022-05-1009:00:00Tuesday2022-05-10
309:00:00Tuesday2022-05-1010:00:00Tuesday2022-05-10
410:00:00Tuesday2022-05-1010:00:00Tuesday2022-05-10
\n", + "
\n", + "
\n", + "\n", + "
\n", + " \n", + "\n", + " \n", + "\n", + " \n", + "
\n", + "\n", + "\n", + "
\n", + "
\n" + ], + "application/vnd.google.colaboratory.intrinsic+json": { + "type": "dataframe", + "summary": "{\n \"name\": \"display(copy_df[['Start Time', 'Start Day of Week', 'Start Date', 'End Time', 'End Day of Week', 'End Date']]\",\n \"rows\": 5,\n \"fields\": [\n {\n \"column\": \"Start Time\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 2,\n \"samples\": [\n \"10:00:00\",\n \"09:00:00\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Start Day of Week\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 1,\n \"samples\": [\n \"Tuesday\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Start Date\",\n \"properties\": {\n \"dtype\": \"date\",\n \"min\": \"2022-05-10\",\n \"max\": \"2022-05-10\",\n \"num_unique_values\": 1,\n \"samples\": [\n \"2022-05-10\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"End Time\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 2,\n \"samples\": [\n \"10:00:00\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"End Day of Week\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 1,\n \"samples\": [\n \"Tuesday\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"End Date\",\n \"properties\": {\n \"dtype\": \"date\",\n \"min\": \"2022-05-10\",\n \"max\": \"2022-05-10\",\n \"num_unique_values\": 1,\n \"samples\": [\n \"2022-05-10\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}" + } + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "# View columns\n", + "copy_df.columns" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "7ekCsKS8YQNQ", + "outputId": "7820e64c-a3ba-46f2-8978-97cb08db8227" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "Index(['Trip ID', 'Start Time', 'End Time', 'Trip Distance', 'Trip Duration',\n", + " 'Vendor', 'Start Community Area Number', 'End Community Area Number',\n", + " 'Start Community Area Name', 'End Community Area Name',\n", + " 'Start Centroid Latitude', 'Start Centroid Longitude',\n", + " 'Start Centroid Location', 'End Centroid Latitude',\n", + " 'End Centroid Longitude', 'End Centroid Location', 'Start Day of Week',\n", + " 'End Day of Week', 'Start Date', 'End Date'],\n", + " dtype='object')" + ] + }, + "metadata": {}, + "execution_count": 10 + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Drop unnecessary columns\n", + "copy_df = copy_df.drop(columns=['Start Centroid Latitude', 'Start Centroid Longitude', 'End Centroid Latitude', 'End Centroid Longitude'])" + ], + "metadata": { + "id": "z8EczsvzcydW" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "5abd0bc2", + "outputId": "d50537ec-e94c-421f-8f97-b4666194c076" + }, + "source": [ + "# Get unique Start Community Area Names\n", + "start_areas = copy_df['Start Community Area Name'].dropna().unique()\n", + "start_areas.sort()\n", + "print(f\"Unique Start Community Areas ({len(start_areas)}):\")\n", + "print(start_areas)\n", + "\n", + "print(\"-\" * 50)\n", + "\n", + "# Get unique End Community Area Names\n", + "end_areas = copy_df['End Community Area Name'].dropna().unique()\n", + "end_areas.sort()\n", + "print(f\"Unique End Community Areas ({len(end_areas)}):\")\n", + "print(end_areas)" + ], + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Unique Start Community Areas (77):\n", + "['Albany Park' 'Archer Heights' 'Armour Square' 'Ashburn' 'Auburn Gresham'\n", + " 'Austin' 'Avalon Park' 'Avondale' 'Belmont Cragin' 'Beverly' 'Bridgeport'\n", + " 'Brighton Park' 'Burnside' 'Calumet Heights' 'Chatham' 'Chicago Lawn'\n", + " 'Clearing' 'Douglas' 'Dunning' 'East Garfield Park' 'East Side'\n", + " 'Edgewater' 'Edison Park' 'Englewood' 'Forest Glen' 'Fuller Park'\n", + " 'Gage Park' 'Garfield Ridge' 'Grand Boulevard' 'Greater Grand Crossing'\n", + " 'Hegewisch' 'Hermosa' 'Humboldt Park' 'Hyde Park' 'Irving Park'\n", + " 'Jefferson Park' 'Kenwood' 'Lake View' 'Lincoln Park' 'Lincoln Square'\n", + " 'Logan Square' 'Loop' 'Lower West Side' 'Mckinley Park' 'Montclare'\n", + " 'Morgan Park' 'Mount Greenwood' 'Near North Side' 'Near South Side'\n", + " 'Near West Side' 'New City' 'North Center' 'North Lawndale' 'North Park'\n", + " 'Norwood Park' 'Oakland' 'Ohare' 'Portage Park' 'Pullman' 'Riverdale'\n", + " 'Rogers Park' 'Roseland' 'South Chicago' 'South Deering' 'South Lawndale'\n", + " 'South Shore' 'Uptown' 'Washington Heights' 'Washington Park'\n", + " 'West Elsdon' 'West Englewood' 'West Garfield Park' 'West Lawn'\n", + " 'West Pullman' 'West Ridge' 'West Town' 'Woodlawn']\n", + "--------------------------------------------------\n", + "Unique End Community Areas (77):\n", + "['Albany Park' 'Archer Heights' 'Armour Square' 'Ashburn' 'Auburn Gresham'\n", + " 'Austin' 'Avalon Park' 'Avondale' 'Belmont Cragin' 'Beverly' 'Bridgeport'\n", + " 'Brighton Park' 'Burnside' 'Calumet Heights' 'Chatham' 'Chicago Lawn'\n", + " 'Clearing' 'Douglas' 'Dunning' 'East Garfield Park' 'East Side'\n", + " 'Edgewater' 'Edison Park' 'Englewood' 'Forest Glen' 'Fuller Park'\n", + " 'Gage Park' 'Garfield Ridge' 'Grand Boulevard' 'Greater Grand Crossing'\n", + " 'Hegewisch' 'Hermosa' 'Humboldt Park' 'Hyde Park' 'Irving Park'\n", + " 'Jefferson Park' 'Kenwood' 'Lake View' 'Lincoln Park' 'Lincoln Square'\n", + " 'Logan Square' 'Loop' 'Lower West Side' 'Mckinley Park' 'Montclare'\n", + " 'Morgan Park' 'Mount Greenwood' 'Near North Side' 'Near South Side'\n", + " 'Near West Side' 'New City' 'North Center' 'North Lawndale' 'North Park'\n", + " 'Norwood Park' 'Oakland' 'Ohare' 'Portage Park' 'Pullman' 'Riverdale'\n", + " 'Rogers Park' 'Roseland' 'South Chicago' 'South Deering' 'South Lawndale'\n", + " 'South Shore' 'Uptown' 'Washington Heights' 'Washington Park'\n", + " 'West Elsdon' 'West Englewood' 'West Garfield Park' 'West Lawn'\n", + " 'West Pullman' 'West Ridge' 'West Town' 'Woodlawn']\n" + ] + } + ] + }, + { + "cell_type": "code", + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 206 + }, + "id": "35b01d3a", + "outputId": "72b571de-6657-4be5-ef45-bdd719cc08f7" + }, + "source": [ + "# Standard Chicago Community Area codes (1-77)\n", + "chicago_community_areas = {\n", + " 'Rogers Park': 1, 'West Ridge': 2, 'Uptown': 3, 'Lincoln Square': 4,\n", + " 'North Center': 5, 'Lake View': 6, 'Lincoln Park': 7, 'Near North Side': 8,\n", + " 'Edison Park': 9, 'Norwood Park': 10, 'Jefferson Park': 11, 'Forest Glen': 12,\n", + " 'North Park': 13, 'Albany Park': 14, 'Portage Park': 15, 'Irving Park': 16,\n", + " 'Dunning': 17, 'Montclare': 18, 'Belmont Cragin': 19, 'Hermosa': 20,\n", + " 'Avondale': 21, 'Logan Square': 22, 'Humboldt Park': 23, 'West Town': 24,\n", + " 'Austin': 25, 'West Garfield Park': 26, 'East Garfield Park': 27, 'Near West Side': 28,\n", + " 'North Lawndale': 29, 'South Lawndale': 30, 'Lower West Side': 31, 'Loop': 32,\n", + " 'Near South Side': 33, 'Armour Square': 34, 'Douglas': 35, 'Oakland': 36,\n", + " 'Fuller Park': 37, 'Grand Boulevard': 38, 'Kenwood': 39, 'Washington Park': 40,\n", + " 'Hyde Park': 41, 'Woodlawn': 42, 'South Shore': 43, 'Chatham': 44,\n", + " 'Avalon Park': 45, 'South Chicago': 46, 'Burnside': 47, 'Calumet Heights': 48,\n", + " 'Roseland': 49, 'Pullman': 50, 'South Deering': 51, 'East Side': 52,\n", + " 'West Pullman': 53, 'Riverdale': 54, 'Hegewisch': 55, 'Garfield Ridge': 56,\n", + " 'Archer Heights': 57, 'Brighton Park': 58, 'Mckinley Park': 59, 'Bridgeport': 60,\n", + " 'New City': 61, 'West Elsdon': 62, 'Gage Park': 63, 'Clearing': 64,\n", + " 'West Lawn': 65, 'Chicago Lawn': 66, 'West Englewood': 67, 'Englewood': 68,\n", + " 'Greater Grand Crossing': 69, 'Ashburn': 70, 'Auburn Gresham': 71, 'Beverly': 72,\n", + " 'Washington Heights': 73, 'Mount Greenwood': 74, 'Morgan Park': 75, 'Ohare': 76,\n", + " 'Edgewater': 77\n", + "}\n", + "\n", + "# Map the names to their area codes\n", + "copy_df['Mapped Start Area Code'] = copy_df['Start Community Area Name'].map(chicago_community_areas)\n", + "copy_df['Mapped End Area Code'] = copy_df['End Community Area Name'].map(chicago_community_areas)\n", + "\n", + "# Display the results to compare with the existing Number columns\n", + "display(copy_df[['Start Community Area Name', 'Mapped Start Area Code', 'Start Community Area Number']].dropna().head())" + ], + "execution_count": null, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + " Start Community Area Name Mapped Start Area Code \\\n", + "0 Loop 32.0 \n", + "1 Loop 32.0 \n", + "2 Loop 32.0 \n", + "3 Loop 32.0 \n", + "4 Loop 32.0 \n", + "\n", + " Start Community Area Number \n", + "0 32.0 \n", + "1 32.0 \n", + "2 32.0 \n", + "3 32.0 \n", + "4 32.0 " + ], + "text/html": [ + "\n", + "
\n", + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Start Community Area NameMapped Start Area CodeStart Community Area Number
0Loop32.032.0
1Loop32.032.0
2Loop32.032.0
3Loop32.032.0
4Loop32.032.0
\n", + "
\n", + "
\n", + "\n", + "
\n", + " \n", + "\n", + " \n", + "\n", + " \n", + "
\n", + "\n", + "\n", + "
\n", + "
\n" + ], + "application/vnd.google.colaboratory.intrinsic+json": { + "type": "dataframe", + "summary": "{\n \"name\": \"display(copy_df[['Start Community Area Name', 'Mapped Start Area Code', 'Start Community Area Number']]\",\n \"rows\": 5,\n \"fields\": [\n {\n \"column\": \"Start Community Area Name\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 1,\n \"samples\": [\n \"Loop\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Mapped Start Area Code\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.0,\n \"min\": 32.0,\n \"max\": 32.0,\n \"num_unique_values\": 1,\n \"samples\": [\n 32.0\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Start Community Area Number\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.0,\n \"min\": 32.0,\n \"max\": 32.0,\n \"num_unique_values\": 1,\n \"samples\": [\n 32.0\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}" + } + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "# View df\n", + "copy_df.head(5)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 538 + }, + "id": "LextC76zt_f2", + "outputId": "66911e5f-522e-46ce-ef7f-b385948e325a" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + " Trip ID Start Time End Time Trip Distance \\\n", + "0 173d3183-1009-7302-173d-318310097302 09:00:00 09:00:00 193 \n", + "1 173d3204-d8be-984c-173d-3204d8be984c 09:00:00 09:00:00 104 \n", + "2 173d326e-fe57-a9de-173d-326efe57a9de 09:00:00 09:00:00 156 \n", + "3 173d39b4-a033-a160-173d-39b4a033a160 09:00:00 10:00:00 8,168 \n", + "4 173d3deb-46d8-d67a-173d-3deb46d8d67a 10:00:00 10:00:00 51 \n", + "\n", + " Trip Duration Vendor Start Community Area Number \\\n", + "0 13 Lyft 32.0 \n", + "1 43 Lyft 32.0 \n", + "2 36 Lyft 32.0 \n", + "3 2,345 Lyft 32.0 \n", + "4 42 Lyft 32.0 \n", + "\n", + " End Community Area Number Start Community Area Name \\\n", + "0 32.0 Loop \n", + "1 32.0 Loop \n", + "2 32.0 Loop \n", + "3 32.0 Loop \n", + "4 32.0 Loop \n", + "\n", + " End Community Area Name Start Centroid Location \\\n", + "0 Loop POINT (-87.62519186960115 41.87886594636445) \n", + "1 Loop POINT (-87.62519186960115 41.87886594636445) \n", + "2 Loop POINT (-87.62519186960115 41.87886594636445) \n", + "3 Loop POINT (-87.62519186960115 41.87886594636445) \n", + "4 Loop POINT (-87.62519186960115 41.87886594636445) \n", + "\n", + " End Centroid Location Start Day of Week \\\n", + "0 POINT (-87.62519186960115 41.87886594636445) Tuesday \n", + "1 POINT (-87.62519186960115 41.87886594636445) Tuesday \n", + "2 POINT (-87.62519186960115 41.87886594636445) Tuesday \n", + "3 POINT (-87.62519186960115 41.87886594636445) Tuesday \n", + "4 POINT (-87.62519186960115 41.87886594636445) Tuesday \n", + "\n", + " End Day of Week Start Date End Date Mapped Start Area Code \\\n", + "0 Tuesday 2022-05-10 2022-05-10 32.0 \n", + "1 Tuesday 2022-05-10 2022-05-10 32.0 \n", + "2 Tuesday 2022-05-10 2022-05-10 32.0 \n", + "3 Tuesday 2022-05-10 2022-05-10 32.0 \n", + "4 Tuesday 2022-05-10 2022-05-10 32.0 \n", + "\n", + " Mapped End Area Code \n", + "0 32.0 \n", + "1 32.0 \n", + "2 32.0 \n", + "3 32.0 \n", + "4 32.0 " + ], + "text/html": [ + "\n", + "
\n", + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Trip IDStart TimeEnd TimeTrip DistanceTrip DurationVendorStart Community Area NumberEnd Community Area NumberStart Community Area NameEnd Community Area NameStart Centroid LocationEnd Centroid LocationStart Day of WeekEnd Day of WeekStart DateEnd DateMapped Start Area CodeMapped End Area Code
0173d3183-1009-7302-173d-31831009730209:00:0009:00:0019313Lyft32.032.0LoopLoopPOINT (-87.62519186960115 41.87886594636445)POINT (-87.62519186960115 41.87886594636445)TuesdayTuesday2022-05-102022-05-1032.032.0
1173d3204-d8be-984c-173d-3204d8be984c09:00:0009:00:0010443Lyft32.032.0LoopLoopPOINT (-87.62519186960115 41.87886594636445)POINT (-87.62519186960115 41.87886594636445)TuesdayTuesday2022-05-102022-05-1032.032.0
2173d326e-fe57-a9de-173d-326efe57a9de09:00:0009:00:0015636Lyft32.032.0LoopLoopPOINT (-87.62519186960115 41.87886594636445)POINT (-87.62519186960115 41.87886594636445)TuesdayTuesday2022-05-102022-05-1032.032.0
3173d39b4-a033-a160-173d-39b4a033a16009:00:0010:00:008,1682,345Lyft32.032.0LoopLoopPOINT (-87.62519186960115 41.87886594636445)POINT (-87.62519186960115 41.87886594636445)TuesdayTuesday2022-05-102022-05-1032.032.0
4173d3deb-46d8-d67a-173d-3deb46d8d67a10:00:0010:00:005142Lyft32.032.0LoopLoopPOINT (-87.62519186960115 41.87886594636445)POINT (-87.62519186960115 41.87886594636445)TuesdayTuesday2022-05-102022-05-1032.032.0
\n", + "
\n", + "
\n", + "\n", + "
\n", + " \n", + "\n", + " \n", + "\n", + " \n", + "
\n", + "\n", + "\n", + "
\n", + "
\n" + ], + "application/vnd.google.colaboratory.intrinsic+json": { + "type": "dataframe", + "variable_name": "copy_df" + } + }, + "metadata": {}, + "execution_count": 15 + } + ] + }, + { + "cell_type": "code", + "source": [ + "# View df\n", + "copy_df.tail(5)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 538 + }, + "id": "Oc7FlNaquSjf", + "outputId": "6bcc4d55-d574-48f2-b491-0cd991ae807e" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + " Trip ID Start Time End Time \\\n", + "12805611 1370b01a-a0ee-4c5f-bdf3-395ea1d94c20 15:00:00 15:00:00 \n", + "12805612 60deec48-34c3-4474-bc17-fb3d249c1b63 15:00:00 15:00:00 \n", + "12805613 0fbc5ca9-3e78-401d-b971-81b3f1d99c69 15:00:00 15:00:00 \n", + "12805614 31abf3a1-285b-41c2-bfb3-b9fc5c8e05b0 15:00:00 16:00:00 \n", + "12805615 47358f77-b897-4603-bda9-f457a7d81983 15:00:00 15:00:00 \n", + "\n", + " Trip Distance Trip Duration Vendor Start Community Area Number \\\n", + "12805611 846 215 Lime 11.0 \n", + "12805612 550 120 Lime 7.0 \n", + "12805613 601 212 Lime 3.0 \n", + "12805614 1,490 430 Lime 22.0 \n", + "12805615 738 219 Lime 46.0 \n", + "\n", + " End Community Area Number Start Community Area Name \\\n", + "12805611 11.0 Jefferson Park \n", + "12805612 7.0 Lincoln Park \n", + "12805613 3.0 Uptown \n", + "12805614 22.0 Logan Square \n", + "12805615 46.0 South Chicago \n", + "\n", + " End Community Area Name \\\n", + "12805611 Jefferson Park \n", + "12805612 Lincoln Park \n", + "12805613 Uptown \n", + "12805614 Logan Square \n", + "12805615 South Chicago \n", + "\n", + " Start Centroid Location \\\n", + "12805611 POINT (-87.77116691801392 41.97882998234248) \n", + "12805612 POINT (-87.64948972103552 41.922686117885036) \n", + "12805613 POINT (-87.65587931915151 41.965812077713224) \n", + "12805614 POINT (-87.69915594576516 41.922759858521665) \n", + "12805615 POINT (-87.55142918511247 41.741242815344805) \n", + "\n", + " End Centroid Location Start Day of Week \\\n", + "12805611 POINT (-87.77116691801392 41.97882998234248) Wednesday \n", + "12805612 POINT (-87.64948972103552 41.922686117885036) Wednesday \n", + "12805613 POINT (-87.65587931915151 41.965812077713224) Wednesday \n", + "12805614 POINT (-87.69915594576516 41.922759858521665) Wednesday \n", + "12805615 POINT (-87.55142918511247 41.741242815344805) Wednesday \n", + "\n", + " End Day of Week Start Date End Date Mapped Start Area Code \\\n", + "12805611 Wednesday 2025-06-18 2025-06-18 11.0 \n", + "12805612 Wednesday 2025-06-18 2025-06-18 7.0 \n", + "12805613 Wednesday 2025-06-18 2025-06-18 3.0 \n", + "12805614 Wednesday 2025-06-18 2025-06-18 22.0 \n", + "12805615 Wednesday 2025-06-18 2025-06-18 46.0 \n", + "\n", + " Mapped End Area Code \n", + "12805611 11.0 \n", + "12805612 7.0 \n", + "12805613 3.0 \n", + "12805614 22.0 \n", + "12805615 46.0 " + ], + "text/html": [ + "\n", + "
\n", + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Trip IDStart TimeEnd TimeTrip DistanceTrip DurationVendorStart Community Area NumberEnd Community Area NumberStart Community Area NameEnd Community Area NameStart Centroid LocationEnd Centroid LocationStart Day of WeekEnd Day of WeekStart DateEnd DateMapped Start Area CodeMapped End Area Code
128056111370b01a-a0ee-4c5f-bdf3-395ea1d94c2015:00:0015:00:00846215Lime11.011.0Jefferson ParkJefferson ParkPOINT (-87.77116691801392 41.97882998234248)POINT (-87.77116691801392 41.97882998234248)WednesdayWednesday2025-06-182025-06-1811.011.0
1280561260deec48-34c3-4474-bc17-fb3d249c1b6315:00:0015:00:00550120Lime7.07.0Lincoln ParkLincoln ParkPOINT (-87.64948972103552 41.922686117885036)POINT (-87.64948972103552 41.922686117885036)WednesdayWednesday2025-06-182025-06-187.07.0
128056130fbc5ca9-3e78-401d-b971-81b3f1d99c6915:00:0015:00:00601212Lime3.03.0UptownUptownPOINT (-87.65587931915151 41.965812077713224)POINT (-87.65587931915151 41.965812077713224)WednesdayWednesday2025-06-182025-06-183.03.0
1280561431abf3a1-285b-41c2-bfb3-b9fc5c8e05b015:00:0016:00:001,490430Lime22.022.0Logan SquareLogan SquarePOINT (-87.69915594576516 41.922759858521665)POINT (-87.69915594576516 41.922759858521665)WednesdayWednesday2025-06-182025-06-1822.022.0
1280561547358f77-b897-4603-bda9-f457a7d8198315:00:0015:00:00738219Lime46.046.0South ChicagoSouth ChicagoPOINT (-87.55142918511247 41.741242815344805)POINT (-87.55142918511247 41.741242815344805)WednesdayWednesday2025-06-182025-06-1846.046.0
\n", + "
\n", + "
\n", + "\n", + "
\n", + " \n", + "\n", + " \n", + "\n", + " \n", + "
\n", + "\n", + "\n", + "
\n", + "
\n" + ], + "application/vnd.google.colaboratory.intrinsic+json": { + "type": "dataframe", + "repr_error": "0" + } + }, + "metadata": {}, + "execution_count": 16 + } + ] + }, + { + "cell_type": "code", + "source": [ + "# View shape of df\n", + "def check_df(df: object, head: object = 5) -> object:\n", + " print(\"\\nShape\")\n", + " print(df.shape)\n", + " print(\"\\nTypes\")\n", + " print(df.dtypes)\n", + " print(\"\\nNANs\")\n", + " print(df.isnull().sum())\n", + " print(\"\\nInfo\")\n", + " print(df.info())\n", + "\n", + "# Check shape, datatypes, and na of df\n", + "check_df(copy_df)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "vizhvC3lunFJ", + "outputId": "7df04f47-5d46-4422-f16c-e3fd0fdbc3ba" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\n", + "Shape\n", + "(12805616, 18)\n", + "\n", + "Types\n", + "Trip ID object\n", + "Start Time object\n", + "End Time object\n", + "Trip Distance object\n", + "Trip Duration object\n", + "Vendor object\n", + "Start Community Area Number float64\n", + "End Community Area Number float64\n", + "Start Community Area Name object\n", + "End Community Area Name object\n", + "Start Centroid Location object\n", + "End Centroid Location object\n", + "Start Day of Week object\n", + "End Day of Week object\n", + "Start Date object\n", + "End Date object\n", + "Mapped Start Area Code float64\n", + "Mapped End Area Code float64\n", + "dtype: object\n", + "\n", + "NANs\n", + "Trip ID 0\n", + "Start Time 0\n", + "End Time 0\n", + "Trip Distance 0\n", + "Trip Duration 0\n", + "Vendor 0\n", + "Start Community Area Number 10383\n", + "End Community Area Number 14550\n", + "Start Community Area Name 10383\n", + "End Community Area Name 14550\n", + "Start Centroid Location 10383\n", + "End Centroid Location 14550\n", + "Start Day of Week 0\n", + "End Day of Week 0\n", + "Start Date 0\n", + "End Date 0\n", + "Mapped Start Area Code 10383\n", + "Mapped End Area Code 14550\n", + "dtype: int64\n", + "\n", + "Info\n", + "\n", + "RangeIndex: 12805616 entries, 0 to 12805615\n", + "Data columns (total 18 columns):\n", + " # Column Dtype \n", + "--- ------ ----- \n", + " 0 Trip ID object \n", + " 1 Start Time object \n", + " 2 End Time object \n", + " 3 Trip Distance object \n", + " 4 Trip Duration object \n", + " 5 Vendor object \n", + " 6 Start Community Area Number float64\n", + " 7 End Community Area Number float64\n", + " 8 Start Community Area Name object \n", + " 9 End Community Area Name object \n", + " 10 Start Centroid Location object \n", + " 11 End Centroid Location object \n", + " 12 Start Day of Week object \n", + " 13 End Day of Week object \n", + " 14 Start Date object \n", + " 15 End Date object \n", + " 16 Mapped Start Area Code float64\n", + " 17 Mapped End Area Code float64\n", + "dtypes: float64(4), object(14)\n", + "memory usage: 1.7+ GB\n", + "None\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Check the number of duplicated rows\n", + "total_duplicates = copy_df.duplicated().sum()\n", + "\n", + "print('Total duplicated rows:', total_duplicates)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "-pjTJauvutPs", + "outputId": "9f98a805-cedf-4b72-bf2b-4a69946bb9bb" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Total duplicated rows: 0\n" + ] + } + ] + }, + { + "cell_type": "code", + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 556 + }, + "id": "1471eeba", + "outputId": "fcb1c4fa-7dd7-4334-8813-98178534708d" + }, + "source": [ + "day_order = ['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday', 'Sunday']\n", + "plt.figure(figsize=(12, 6))\n", + "sns.countplot(data=copy_df, x='Start Day of Week', order=day_order, palette='viridis')\n", + "plt.title('Number of Trips by Day of the Week')\n", + "plt.xlabel('Day of the Week')\n", + "plt.ylabel('Trip Count')\n", + "plt.show()" + ], + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stderr", + "text": [ + "/tmp/ipykernel_4294/3618523801.py:3: FutureWarning: \n", + "\n", + "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n", + "\n", + " sns.countplot(data=copy_df, x='Start Day of Week', order=day_order, palette='viridis')\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": "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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "trip_counts_by_hour = copy_df['Start Time'].apply(lambda x: x.hour).value_counts().sort_values(ascending=False)\n", + "\n", + "# Create a readable DataFrame for the result\n", + "trips_summary = trip_counts_by_hour.reset_index()\n", + "trips_summary.columns = ['Hour (24h)', 'Trip Count']\n", + "\n", + "print(\"Time periods with the most trips (from most to least):\")\n", + "display(trips_summary)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 819 + }, + "id": "KPk_XejAJdHR", + "outputId": "45e9122d-b164-4503-d2e8-72379f9188bd" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Time periods with the most trips (from most to least):\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + " Hour (24h) Trip Count\n", + "0 17 1187062\n", + "1 18 1141422\n", + "2 16 1089646\n", + "3 19 983718\n", + "4 15 947128\n", + "5 14 808083\n", + "6 20 790743\n", + "7 13 745584\n", + "8 12 673954\n", + "9 21 644161\n", + "10 22 556675\n", + "11 8 555922\n", + "12 11 535935\n", + "13 9 520448\n", + "14 10 474304\n", + "15 23 431519\n", + "16 7 327662\n", + "17 0 170891\n", + "18 6 151781\n", + "19 5 44937\n", + "20 1 10958\n", + "21 2 7154\n", + "22 3 3390\n", + "23 4 2539" + ], + "text/html": [ + "\n", + "
\n", + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Hour (24h)Trip Count
0171187062
1181141422
2161089646
319983718
415947128
514808083
620790743
713745584
812673954
921644161
1022556675
118555922
1211535935
139520448
1410474304
1523431519
167327662
170170891
186151781
19544937
20110958
2127154
2233390
2342539
\n", + "
\n", + "
\n", + "\n", + "
\n", + " \n", + "\n", + " \n", + "\n", + " \n", + "
\n", + "\n", + "\n", + "
\n", + " \n", + " \n", + " \n", + "
\n", + "\n", + "
\n", + "
\n" + ], + "application/vnd.google.colaboratory.intrinsic+json": { + "type": "dataframe", + "variable_name": "trips_summary", + "summary": "{\n \"name\": \"trips_summary\",\n \"rows\": 24,\n \"fields\": [\n {\n \"column\": \"Hour (24h)\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 7,\n \"min\": 0,\n \"max\": 23,\n \"num_unique_values\": 24,\n \"samples\": [\n 12,\n 7,\n 17\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Trip Count\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 383616,\n \"min\": 2539,\n \"max\": 1187062,\n \"num_unique_values\": 24,\n \"samples\": [\n 673954,\n 327662,\n 1187062\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}" + } + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 453 + }, + "id": "5f741c5c", + "outputId": "51082b25-97e0-409e-e1e6-a70737fc9767" + }, + "source": [ + "\n", + "# Convert Trip Duration to minutes\n", + "copy_df['Trip Duration Minutes'] = pd.to_numeric(copy_df['Trip Duration'].astype(str).str.replace(',', ''), errors='coerce') / 60.0\n", + "\n", + "# Plotting the histogram\n", + "plt.figure(figsize=(12, 6))\n", + "sns.histplot(copy_df['Trip Duration Minutes'].dropna(), bins=50, kde=True, color='skyblue')\n", + "\n", + "plt.title('Distribution of Trip Durations')\n", + "plt.xlabel('Duration (Minutes)')\n", + "plt.ylabel('Frequency')\n", + "plt.grid(axis='y', alpha=0.3)\n", + "\n", + "# Setting a limit if there are extreme outliers to make the histogram readable\n", + "plt.xlim(0, copy_df['Trip Duration Minutes'].quantile(0.99))\n", + "\n", + "plt.show()" + ], + "execution_count": null, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": "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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 524 + }, + "id": "04530822", + "outputId": "3a8c8b25-f8a2-488c-dc00-e93cd2a4171f" + }, + "source": [ + "top_start_areas = copy_df['Start Community Area Name'].value_counts().head(10)\n", + "plt.figure(figsize=(12, 6))\n", + "sns.barplot(x=top_start_areas.values, y=top_start_areas.index, palette='magma')\n", + "plt.title('Top 10 Start Community Areas')\n", + "plt.xlabel('Number of Trips')\n", + "plt.ylabel('Community Area')\n", + "plt.show()" + ], + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stderr", + "text": [ + "/tmp/ipykernel_4294/563185383.py:3: FutureWarning: \n", + "\n", + "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `y` variable to `hue` and set `legend=False` for the same effect.\n", + "\n", + " sns.barplot(x=top_start_areas.values, y=top_start_areas.index, palette='magma')\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": "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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Export copy_df as cleaned data\n", + "output_cleaned_file = \"/content/drive/My Drive/data 400/data/combined_data/cleaned_2022_2025data.csv\"\n", + "copy_df.to_csv(output_cleaned_file, index=False)\n", + "print(f\"Cleaned data exported to {output_cleaned_file}\")" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "bvLdNOdW6dX2", + "outputId": "a5c96169-1bfc-49d1-dbd8-0fdcb1edbe56" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Cleaned data exported to /content/drive/My Drive/data 400/data/combined_data/cleaned_2022_2025data.csv\n" + ] + } + ] + } + ] +} \ No newline at end of file diff --git a/final project/Notebooks/Escooter_Congestion_Regression (2).ipynb b/final project/Notebooks/Escooter_Congestion_Regression (2).ipynb new file mode 100644 index 0000000..028cb79 --- /dev/null +++ b/final project/Notebooks/Escooter_Congestion_Regression (2).ipynb @@ -0,0 +1,3155 @@ +{ + "nbformat": 4, + "nbformat_minor": 0, + "metadata": { + "colab": { + "provenance": [], + "machine_shape": "hm", + "gpuType": "V5E1" + }, + "kernelspec": { + "name": "python3", + "display_name": "Python 3" + }, + "language_info": { + "name": "python" + }, + "accelerator": "TPU" + }, + "cells": [ + { + "cell_type": "markdown", + "source": [ + "# E-Scooters & Urban Congestion in Chicago\n", + "\n", + "# Name: Robin Nguyen, Tommy Eaton, Yuqing\n", + "\n", + "**This project investigates whether the presence of high-density e-scooter fleets correlates with changes in traffic congestion levels across Chicago’s community areas. The team uses openly available data from the City of Chicago data portal, joining e-scooter trip records to Chicago Traffic Tracker congestion estimates by region, and will run a regression analysis controlling for key confounders across the 2022–2025 timeframe.**\n", + "\n", + "### Import libraries" + ], + "metadata": { + "id": "ip4EUqZ-XW_q" + } + }, + { + "cell_type": "code", + "source": [ + "# Core Libraries\n", + "!pip install statsmodels\n", + "!pip install xgboost\n", + "import pandas as pd # Data manipulation\n", + "import numpy as np # Numerical computations\n", + "import os\n", + "import glob\n", + "import re\n", + "import warnings\n", + "import statsmodels.api as sm\n", + "import matplotlib.pyplot as plt\n", + "from statsmodels.stats.outliers_influence import variance_inflation_factor\n", + "\n", + "# Visualization Libraries\n", + "import matplotlib.pyplot as plt # Plotting\n", + "import seaborn as sns # Advanced visualization\n", + "from matplotlib.ticker import NullFormatter, FuncFormatter # Formatting\n", + "\n", + "# Machine Learning Libraries\n", + "from sklearn.ensemble import RandomForestClassifier, GradientBoostingClassifier\n", + "from sklearn.model_selection import train_test_split\n", + "from sklearn.metrics import (\n", + " accuracy_score,\n", + " precision_score,\n", + " recall_score,\n", + " f1_score,\n", + " classification_report,\n", + ")\n", + "from sklearn.feature_extraction.text import TfidfVectorizer, CountVectorizer, TfidfTransformer\n", + "from sklearn.pipeline import Pipeline\n", + "from sklearn.utils import resample, shuffle\n", + "from sklearn.tree import export_text\n", + "from xgboost import XGBRegressor\n", + "from sklearn.inspection import PartialDependenceDisplay\n", + "from sklearn.metrics import mean_absolute_error, mean_squared_error, r2_score" + ], + "metadata": { + "id": "eR2_oVytXwNH", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "9b0b11f4-1dc3-4158-e771-847c4ddf2572" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Collecting statsmodels\n", + " Downloading statsmodels-0.14.6-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl.metadata (9.5 kB)\n", + "Requirement already satisfied: numpy<3,>=1.22.3 in /usr/local/lib/python3.12/dist-packages (from statsmodels) (2.0.2)\n", + "Requirement already satisfied: scipy!=1.9.2,>=1.8 in /usr/local/lib/python3.12/dist-packages (from statsmodels) (1.16.3)\n", + "Requirement already satisfied: pandas!=2.1.0,>=1.4 in /usr/local/lib/python3.12/dist-packages (from statsmodels) (2.2.2)\n", + "Collecting patsy>=0.5.6 (from statsmodels)\n", + " Downloading patsy-1.0.2-py2.py3-none-any.whl.metadata (3.6 kB)\n", + "Requirement already satisfied: packaging>=21.3 in /usr/local/lib/python3.12/dist-packages (from statsmodels) (26.1)\n", + "Requirement already satisfied: python-dateutil>=2.8.2 in /usr/local/lib/python3.12/dist-packages (from pandas!=2.1.0,>=1.4->statsmodels) (2.9.0.post0)\n", + "Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.12/dist-packages (from pandas!=2.1.0,>=1.4->statsmodels) (2026.1.post1)\n", + "Requirement already satisfied: tzdata>=2022.7 in /usr/local/lib/python3.12/dist-packages (from pandas!=2.1.0,>=1.4->statsmodels) (2026.1)\n", + "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.12/dist-packages (from python-dateutil>=2.8.2->pandas!=2.1.0,>=1.4->statsmodels) (1.17.0)\n", + "Downloading statsmodels-0.14.6-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl (10.3 MB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m10.3/10.3 MB\u001b[0m \u001b[31m63.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hDownloading patsy-1.0.2-py2.py3-none-any.whl (233 kB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m233.3/233.3 kB\u001b[0m \u001b[31m23.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hInstalling collected packages: patsy, statsmodels\n", + "Successfully installed patsy-1.0.2 statsmodels-0.14.6\n", + "Collecting xgboost\n", + " Downloading xgboost-3.2.0-py3-none-manylinux_2_28_x86_64.whl.metadata (2.1 kB)\n", + "Requirement already satisfied: numpy in /usr/local/lib/python3.12/dist-packages (from xgboost) (2.0.2)\n", + "Collecting nvidia-nccl-cu12 (from xgboost)\n", + " Downloading nvidia_nccl_cu12-2.30.4-py3-none-manylinux_2_18_x86_64.whl.metadata (2.1 kB)\n", + "Requirement already satisfied: scipy in /usr/local/lib/python3.12/dist-packages (from xgboost) (1.16.3)\n", + "Downloading xgboost-3.2.0-py3-none-manylinux_2_28_x86_64.whl (131.7 MB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m131.7/131.7 MB\u001b[0m \u001b[31m9.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hDownloading nvidia_nccl_cu12-2.30.4-py3-none-manylinux_2_18_x86_64.whl (300.2 MB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m300.2/300.2 MB\u001b[0m \u001b[31m1.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hInstalling collected packages: nvidia-nccl-cu12, xgboost\n", + "Successfully installed nvidia-nccl-cu12-2.30.4 xgboost-3.2.0\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "from google.colab import drive\n", + "drive.mount('/content/drive')" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "320eEunMYKvN", + "outputId": "a1327d83-5bba-4370-e0bd-bf460e665b8c" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Mounted at /content/drive\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "#Import df\n", + "e_scooter_path = \"/content/drive/My Drive/data 400/data/combined_data/cleaned_2022_2025data.csv\"\n", + "congestion_path = \"/content/drive/My Drive/data 400/data/congested_data/updated_congestion_cleaned.csv\"\n", + "scooter_df= pd.read_csv(e_scooter_path)\n", + "congestion_df = pd.read_csv(congestion_path)" + ], + "metadata": { + "id": "EWu0BjczYVrI" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "#create copy\n", + "scooter_df_copy = scooter_df.copy()\n", + "congestion_df_copy = congestion_df.copy()" + ], + "metadata": { + "id": "ghu_vFR6ZrpX" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "# View df\n", + "scooter_df_copy.head()" + ], + "metadata": { + "id": "x1nfuMtPZxEX", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 538 + }, + "outputId": "23d87e39-7ce0-4741-810c-dd379e1b0f10" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + " Trip ID Start Time End Time Trip Distance \\\n", + "0 173d3183-1009-7302-173d-318310097302 09:00:00 09:00:00 193 \n", + "1 173d3204-d8be-984c-173d-3204d8be984c 09:00:00 09:00:00 104 \n", + "2 173d326e-fe57-a9de-173d-326efe57a9de 09:00:00 09:00:00 156 \n", + "3 173d39b4-a033-a160-173d-39b4a033a160 09:00:00 10:00:00 8,168 \n", + "4 173d3deb-46d8-d67a-173d-3deb46d8d67a 10:00:00 10:00:00 51 \n", + "\n", + " Trip Duration Vendor Start Community Area Number \\\n", + "0 13 Lyft 32.0 \n", + "1 43 Lyft 32.0 \n", + "2 36 Lyft 32.0 \n", + "3 2,345 Lyft 32.0 \n", + "4 42 Lyft 32.0 \n", + "\n", + " End Community Area Number Start Community Area Name \\\n", + "0 32.0 Loop \n", + "1 32.0 Loop \n", + "2 32.0 Loop \n", + "3 32.0 Loop \n", + "4 32.0 Loop \n", + "\n", + " End Community Area Name Start Centroid Location \\\n", + "0 Loop POINT (-87.62519186960115 41.87886594636445) \n", + "1 Loop POINT (-87.62519186960115 41.87886594636445) \n", + "2 Loop POINT (-87.62519186960115 41.87886594636445) \n", + "3 Loop POINT (-87.62519186960115 41.87886594636445) \n", + "4 Loop POINT (-87.62519186960115 41.87886594636445) \n", + "\n", + " End Centroid Location Start Day of Week \\\n", + "0 POINT (-87.62519186960115 41.87886594636445) Tuesday \n", + "1 POINT (-87.62519186960115 41.87886594636445) Tuesday \n", + "2 POINT (-87.62519186960115 41.87886594636445) Tuesday \n", + "3 POINT (-87.62519186960115 41.87886594636445) Tuesday \n", + "4 POINT (-87.62519186960115 41.87886594636445) Tuesday \n", + "\n", + " End Day of Week Start Date End Date Mapped Start Area Code \\\n", + "0 Tuesday 2022-05-10 2022-05-10 32.0 \n", + "1 Tuesday 2022-05-10 2022-05-10 32.0 \n", + "2 Tuesday 2022-05-10 2022-05-10 32.0 \n", + "3 Tuesday 2022-05-10 2022-05-10 32.0 \n", + "4 Tuesday 2022-05-10 2022-05-10 32.0 \n", + "\n", + " Mapped End Area Code Trip Duration Minutes \n", + "0 32.0 0.216667 \n", + "1 32.0 0.716667 \n", + "2 32.0 0.600000 \n", + "3 32.0 39.083333 \n", + "4 32.0 0.700000 " + ], + "text/html": [ + "\n", + "
\n", + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Trip IDStart TimeEnd TimeTrip DistanceTrip DurationVendorStart Community Area NumberEnd Community Area NumberStart Community Area NameEnd Community Area NameStart Centroid LocationEnd Centroid LocationStart Day of WeekEnd Day of WeekStart DateEnd DateMapped Start Area CodeMapped End Area CodeTrip Duration Minutes
0173d3183-1009-7302-173d-31831009730209:00:0009:00:0019313Lyft32.032.0LoopLoopPOINT (-87.62519186960115 41.87886594636445)POINT (-87.62519186960115 41.87886594636445)TuesdayTuesday2022-05-102022-05-1032.032.00.216667
1173d3204-d8be-984c-173d-3204d8be984c09:00:0009:00:0010443Lyft32.032.0LoopLoopPOINT (-87.62519186960115 41.87886594636445)POINT (-87.62519186960115 41.87886594636445)TuesdayTuesday2022-05-102022-05-1032.032.00.716667
2173d326e-fe57-a9de-173d-326efe57a9de09:00:0009:00:0015636Lyft32.032.0LoopLoopPOINT (-87.62519186960115 41.87886594636445)POINT (-87.62519186960115 41.87886594636445)TuesdayTuesday2022-05-102022-05-1032.032.00.600000
3173d39b4-a033-a160-173d-39b4a033a16009:00:0010:00:008,1682,345Lyft32.032.0LoopLoopPOINT (-87.62519186960115 41.87886594636445)POINT (-87.62519186960115 41.87886594636445)TuesdayTuesday2022-05-102022-05-1032.032.039.083333
4173d3deb-46d8-d67a-173d-3deb46d8d67a10:00:0010:00:005142Lyft32.032.0LoopLoopPOINT (-87.62519186960115 41.87886594636445)POINT (-87.62519186960115 41.87886594636445)TuesdayTuesday2022-05-102022-05-1032.032.00.700000
\n", + "
\n", + "
\n", + "\n", + "
\n", + " \n", + "\n", + " \n", + "\n", + " \n", + "
\n", + "\n", + "\n", + "
\n", + "
\n" + ], + "application/vnd.google.colaboratory.intrinsic+json": { + "type": "dataframe", + "variable_name": "scooter_df_copy" + } + }, + "metadata": {}, + "execution_count": 6 + } + ] + }, + { + "cell_type": "code", + "source": [ + "# View df\n", + "congestion_df_copy.head()" + ], + "metadata": { + "id": "ty9EF_J0aNe5", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 486 + }, + "outputId": "a5107ec7-6660-41d7-d10a-6ecfb47eef83" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + " date time_block region_id region_name \\\n", + "0 01/01/2022 00:00-03:59 1 Rogers Park - West Ridge \n", + "1 01/01/2022 04:00-07:59 1 Rogers Park - West Ridge \n", + "2 01/01/2022 08:00-11:59 1 Rogers Park - West Ridge \n", + "3 01/01/2022 12:00-15:59 1 Rogers Park - West Ridge \n", + "4 01/01/2022 16:00-19:59 1 Rogers Park - West Ridge \n", + "\n", + " avg_speed_mph avg_bus_count avg_num_reads congestion_level \\\n", + "0 27.73 5.8 100.1 free_flow \n", + "1 28.46 10.1 224.3 free_flow \n", + "2 25.58 17.5 363.7 free_flow \n", + "3 23.38 20.1 429.9 free_flow \n", + "4 20.40 19.6 436.5 free_flow \n", + "\n", + " description num_readings \n", + "0 North of Devon. Kedzie to Lake Shore 10 \n", + "1 North of Devon. Kedzie to Lake Shore 21 \n", + "2 North of Devon. Kedzie to Lake Shore 23 \n", + "3 North of Devon. Kedzie to Lake Shore 17 \n", + "4 North of Devon. Kedzie to Lake Shore 23 " + ], + "text/html": [ + "\n", + "
\n", + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
datetime_blockregion_idregion_nameavg_speed_mphavg_bus_countavg_num_readscongestion_leveldescriptionnum_readings
001/01/202200:00-03:591Rogers Park - West Ridge27.735.8100.1free_flowNorth of Devon. Kedzie to Lake Shore10
101/01/202204:00-07:591Rogers Park - West Ridge28.4610.1224.3free_flowNorth of Devon. Kedzie to Lake Shore21
201/01/202208:00-11:591Rogers Park - West Ridge25.5817.5363.7free_flowNorth of Devon. Kedzie to Lake Shore23
301/01/202212:00-15:591Rogers Park - West Ridge23.3820.1429.9free_flowNorth of Devon. Kedzie to Lake Shore17
401/01/202216:00-19:591Rogers Park - West Ridge20.4019.6436.5free_flowNorth of Devon. Kedzie to Lake Shore23
\n", + "
\n", + "
\n", + "\n", + "
\n", + " \n", + "\n", + " \n", + "\n", + " \n", + "
\n", + "\n", + "\n", + "
\n", + "
\n" + ], + "application/vnd.google.colaboratory.intrinsic+json": { + "type": "dataframe", + "variable_name": "congestion_df_copy" + } + }, + "metadata": {}, + "execution_count": 7 + } + ] + }, + { + "cell_type": "code", + "source": [ + "# ── 1. Work from the existing copies ─────────────────────────\n", + "scooter = scooter_df_copy.copy()\n", + "congestion = congestion_df_copy.copy()\n", + "\n", + "print(f\"Scooter shape: {scooter.shape}\")\n", + "print(f\"Congestion shape: {congestion.shape}\")\n", + "display(scooter.head(3))\n", + "display(congestion.head(3))" + ], + "metadata": { + "id": "cRYXCv3Oddy5", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 532 + }, + "outputId": "309e10cc-8698-43eb-a40b-079591c7ac87" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Scooter shape: (12805616, 19)\n", + "Congestion shape: (214410, 10)\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + " Trip ID Start Time End Time Trip Distance \\\n", + "0 173d3183-1009-7302-173d-318310097302 09:00:00 09:00:00 193 \n", + "1 173d3204-d8be-984c-173d-3204d8be984c 09:00:00 09:00:00 104 \n", + "2 173d326e-fe57-a9de-173d-326efe57a9de 09:00:00 09:00:00 156 \n", + "\n", + " Trip Duration Vendor Start Community Area Number \\\n", + "0 13 Lyft 32.0 \n", + "1 43 Lyft 32.0 \n", + "2 36 Lyft 32.0 \n", + "\n", + " End Community Area Number Start Community Area Name \\\n", + "0 32.0 Loop \n", + "1 32.0 Loop \n", + "2 32.0 Loop \n", + "\n", + " End Community Area Name Start Centroid Location \\\n", + "0 Loop POINT (-87.62519186960115 41.87886594636445) \n", + "1 Loop POINT (-87.62519186960115 41.87886594636445) \n", + "2 Loop POINT (-87.62519186960115 41.87886594636445) \n", + "\n", + " End Centroid Location Start Day of Week \\\n", + "0 POINT (-87.62519186960115 41.87886594636445) Tuesday \n", + "1 POINT (-87.62519186960115 41.87886594636445) Tuesday \n", + "2 POINT (-87.62519186960115 41.87886594636445) Tuesday \n", + "\n", + " End Day of Week Start Date End Date Mapped Start Area Code \\\n", + "0 Tuesday 2022-05-10 2022-05-10 32.0 \n", + "1 Tuesday 2022-05-10 2022-05-10 32.0 \n", + "2 Tuesday 2022-05-10 2022-05-10 32.0 \n", + "\n", + " Mapped End Area Code Trip Duration Minutes \n", + "0 32.0 0.216667 \n", + "1 32.0 0.716667 \n", + "2 32.0 0.600000 " + ], + "text/html": [ + "\n", + "
\n", + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Trip IDStart TimeEnd TimeTrip DistanceTrip DurationVendorStart Community Area NumberEnd Community Area NumberStart Community Area NameEnd Community Area NameStart Centroid LocationEnd Centroid LocationStart Day of WeekEnd Day of WeekStart DateEnd DateMapped Start Area CodeMapped End Area CodeTrip Duration Minutes
0173d3183-1009-7302-173d-31831009730209:00:0009:00:0019313Lyft32.032.0LoopLoopPOINT (-87.62519186960115 41.87886594636445)POINT (-87.62519186960115 41.87886594636445)TuesdayTuesday2022-05-102022-05-1032.032.00.216667
1173d3204-d8be-984c-173d-3204d8be984c09:00:0009:00:0010443Lyft32.032.0LoopLoopPOINT (-87.62519186960115 41.87886594636445)POINT (-87.62519186960115 41.87886594636445)TuesdayTuesday2022-05-102022-05-1032.032.00.716667
2173d326e-fe57-a9de-173d-326efe57a9de09:00:0009:00:0015636Lyft32.032.0LoopLoopPOINT (-87.62519186960115 41.87886594636445)POINT (-87.62519186960115 41.87886594636445)TuesdayTuesday2022-05-102022-05-1032.032.00.600000
\n", + "
\n", + "
\n", + "\n", + "
\n", + " \n", + "\n", + " \n", + "\n", + " \n", + "
\n", + "\n", + "\n", + "
\n", + "
\n" + ], + "application/vnd.google.colaboratory.intrinsic+json": { + "type": "dataframe", + "summary": "{\n \"name\": \"display(congestion\",\n \"rows\": 3,\n \"fields\": [\n {\n \"column\": \"Trip ID\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 3,\n \"samples\": [\n \"173d3183-1009-7302-173d-318310097302\",\n \"173d3204-d8be-984c-173d-3204d8be984c\",\n \"173d326e-fe57-a9de-173d-326efe57a9de\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Start Time\",\n \"properties\": {\n \"dtype\": \"object\",\n \"num_unique_values\": 1,\n \"samples\": [\n \"09:00:00\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"End Time\",\n \"properties\": {\n \"dtype\": \"object\",\n \"num_unique_values\": 1,\n \"samples\": [\n \"09:00:00\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Trip Distance\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 3,\n \"samples\": [\n \"193\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Trip Duration\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 3,\n \"samples\": [\n \"13\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Vendor\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 1,\n \"samples\": [\n \"Lyft\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Start Community Area Number\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.0,\n \"min\": 32.0,\n \"max\": 32.0,\n \"num_unique_values\": 1,\n \"samples\": [\n 32.0\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"End Community Area Number\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.0,\n \"min\": 32.0,\n \"max\": 32.0,\n \"num_unique_values\": 1,\n \"samples\": [\n 32.0\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Start Community Area Name\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 1,\n \"samples\": [\n \"Loop\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"End Community Area Name\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 1,\n \"samples\": [\n \"Loop\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Start Centroid Location\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 1,\n \"samples\": [\n \"POINT (-87.62519186960115 41.87886594636445)\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"End Centroid Location\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 1,\n \"samples\": [\n \"POINT (-87.62519186960115 41.87886594636445)\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Start Day of Week\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 1,\n \"samples\": [\n \"Tuesday\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"End Day of Week\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 1,\n \"samples\": [\n \"Tuesday\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Start Date\",\n \"properties\": {\n \"dtype\": \"object\",\n \"num_unique_values\": 1,\n \"samples\": [\n \"2022-05-10\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"End Date\",\n \"properties\": {\n \"dtype\": \"object\",\n \"num_unique_values\": 1,\n \"samples\": [\n \"2022-05-10\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Mapped Start Area Code\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.0,\n \"min\": 32.0,\n \"max\": 32.0,\n \"num_unique_values\": 1,\n \"samples\": [\n 32.0\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Mapped End Area Code\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.0,\n \"min\": 32.0,\n \"max\": 32.0,\n \"num_unique_values\": 1,\n \"samples\": [\n 32.0\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Trip Duration Minutes\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.2615834970443012,\n \"min\": 0.2166666666666666,\n \"max\": 0.7166666666666667,\n \"num_unique_values\": 3,\n \"samples\": [\n 0.2166666666666666\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}" + } + }, + "metadata": {} + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + " date time_block region_id region_name \\\n", + "0 01/01/2022 00:00-03:59 1 Rogers Park - West Ridge \n", + "1 01/01/2022 04:00-07:59 1 Rogers Park - West Ridge \n", + "2 01/01/2022 08:00-11:59 1 Rogers Park - West Ridge \n", + "\n", + " avg_speed_mph avg_bus_count avg_num_reads congestion_level \\\n", + "0 27.73 5.8 100.1 free_flow \n", + "1 28.46 10.1 224.3 free_flow \n", + "2 25.58 17.5 363.7 free_flow \n", + "\n", + " description num_readings \n", + "0 North of Devon. Kedzie to Lake Shore 10 \n", + "1 North of Devon. Kedzie to Lake Shore 21 \n", + "2 North of Devon. Kedzie to Lake Shore 23 " + ], + "text/html": [ + "\n", + "
\n", + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
datetime_blockregion_idregion_nameavg_speed_mphavg_bus_countavg_num_readscongestion_leveldescriptionnum_readings
001/01/202200:00-03:591Rogers Park - West Ridge27.735.8100.1free_flowNorth of Devon. Kedzie to Lake Shore10
101/01/202204:00-07:591Rogers Park - West Ridge28.4610.1224.3free_flowNorth of Devon. Kedzie to Lake Shore21
201/01/202208:00-11:591Rogers Park - West Ridge25.5817.5363.7free_flowNorth of Devon. Kedzie to Lake Shore23
\n", + "
\n", + "
\n", + "\n", + "
\n", + " \n", + "\n", + " \n", + "\n", + " \n", + "
\n", + "\n", + "\n", + "
\n", + "
\n" + ], + "application/vnd.google.colaboratory.intrinsic+json": { + "type": "dataframe", + "summary": "{\n \"name\": \"display(congestion\",\n \"rows\": 3,\n \"fields\": [\n {\n \"column\": \"date\",\n \"properties\": {\n \"dtype\": \"object\",\n \"num_unique_values\": 1,\n \"samples\": [\n \"01/01/2022\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"time_block\",\n \"properties\": {\n \"dtype\": \"object\",\n \"num_unique_values\": 3,\n \"samples\": [\n \"00:00-03:59\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"region_id\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0,\n \"min\": 1,\n \"max\": 1,\n \"num_unique_values\": 1,\n \"samples\": [\n 1\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"region_name\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 1,\n \"samples\": [\n \"Rogers Park - West Ridge\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"avg_speed_mph\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 1.4972085136457571,\n \"min\": 25.58,\n \"max\": 28.46,\n \"num_unique_values\": 3,\n \"samples\": [\n 27.73\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"avg_bus_count\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 5.918051481132395,\n \"min\": 5.8,\n \"max\": 17.5,\n \"num_unique_values\": 3,\n \"samples\": [\n 5.8\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"avg_num_reads\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 131.87301973236728,\n \"min\": 100.1,\n \"max\": 363.7,\n \"num_unique_values\": 3,\n \"samples\": [\n 100.1\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"congestion_level\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 1,\n \"samples\": [\n \"free_flow\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"description\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 1,\n \"samples\": [\n \"North of Devon. Kedzie to Lake Shore\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"num_readings\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 7,\n \"min\": 10,\n \"max\": 23,\n \"num_unique_values\": 3,\n \"samples\": [\n 10\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}" + } + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "# ── 2. Prepare scooter dataset ────────────────────────────────\n", + "\n", + "# Combine Start Date and Start Time to get accurate datetimes\n", + "scooter['Start Time'] = pd.to_datetime(scooter['Start Date'].astype(str) + ' ' + scooter['Start Time'].astype(str), errors='coerce')\n", + "\n", + "# Extract date and assign to 4-hour block (same labels as congestion)\n", + "scooter['date'] = scooter['Start Time'].dt.normalize() # date only, no time\n", + "scooter['date_str'] = scooter['Start Time'].dt.strftime('%m/%d/%Y')\n", + "\n", + "block_labels = {\n", + " 0: '00:00-03:59',\n", + " 1: '04:00-07:59',\n", + " 2: '08:00-11:59',\n", + " 3: '12:00-15:59',\n", + " 4: '16:00-19:59',\n", + " 5: '20:00-23:59',\n", + "}\n", + "scooter['time_block'] = (scooter['Start Time'].dt.hour // 4).map(block_labels)\n", + "\n", + "# Map community area numbers to region IDs using the same lookup as before\n", + "# (same ca_to_region bridge table from the main notebook)\n", + "region_to_community_areas = {\n", + " 1: [1, 2, 77],\n", + " 2: [3, 4, 5],\n", + " 3: [6, 7],\n", + " 4: [8, 32, 33],\n", + " 5: [9, 10, 11, 12, 13],\n", + " 6: [14, 15, 16],\n", + " 7: [17, 18, 19, 20],\n", + " 8: [21, 22],\n", + " 9: [23, 24],\n", + " 10: [25, 26, 27],\n", + " 11: [28, 29],\n", + " 12: [30, 31],\n", + " 13: [34, 35, 36, 37],\n", + " 14: [38, 39, 40],\n", + " 15: [41, 42, 43],\n", + " 16: [44, 45, 46],\n", + " 17: [47, 48, 49, 50],\n", + " 18: [51, 52, 53, 54, 55],\n", + " 19: [56, 57, 58, 59, 60],\n", + " 20: [61, 62, 63, 64],\n", + " 21: [65, 66, 67, 68],\n", + " 22: [69, 70, 71],\n", + " 23: [72, 73, 74, 75],\n", + " 24: [76],\n", + " 25: [1, 77],\n", + " 26: [4, 5],\n", + " 27: [6, 7],\n", + " 28: [22, 23],\n", + " 29: [32],\n", + "}\n", + "ca_to_region = {}\n", + "for region, areas in region_to_community_areas.items():\n", + " for ca in areas:\n", + " ca_to_region[ca] = region\n", + "\n", + "scooter['region_id'] = scooter['Start Community Area Number'].map(ca_to_region)\n", + "\n", + "# Convert distance and duration to numeric\n", + "scooter['Trip Distance'] = pd.to_numeric(scooter['Trip Distance'], errors='coerce')\n", + "scooter['Trip Duration'] = pd.to_numeric(scooter['Trip Duration'], errors='coerce')\n", + "\n", + "# Drop rows with no region mapping or missing time block\n", + "scooter_clean = scooter.dropna(subset=['region_id', 'time_block', 'date']).copy()\n", + "scooter_clean['region_id'] = scooter_clean['region_id'].astype(int)\n", + "\n", + "print(f\"\\nScooter rows after mapping: {len(scooter_clean):,}\")\n", + "print(f\"Unmapped rows dropped: {len(scooter) - len(scooter_clean):,}\")\n" + ], + "metadata": { + "id": "eII6a3WgcESy", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "12925088-2fb4-4083-c18c-f004bb7f7abb" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\n", + "Scooter rows after mapping: 12,795,233\n", + "Unmapped rows dropped: 10,383\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# ── 3. Aggregate scooter trips into 4-hour blocks ────────────\n", + "print(\"\\nAggregating scooter trips to 4-hour blocks...\")\n", + "\n", + "scooter_agg = (\n", + " scooter_clean\n", + " .groupby(['date', 'time_block', 'region_id'])\n", + " .agg(\n", + " trip_count = ('Trip ID', 'count'),\n", + " avg_distance_m = ('Trip Distance', 'mean'), # metres\n", + " avg_duration_s = ('Trip Duration', 'mean'), # seconds\n", + " unique_vendors = ('Vendor', 'nunique'),\n", + " )\n", + " .reset_index()\n", + ")\n", + "\n", + "scooter_agg['avg_distance_m'] = scooter_agg['avg_distance_m'].round(1)\n", + "scooter_agg['avg_duration_s'] = scooter_agg['avg_duration_s'].round(1)\n", + "\n", + "print(f\"Scooter aggregated shape: {scooter_agg.shape}\")\n", + "display(scooter_agg.head(6))\n" + ], + "metadata": { + "id": "dAqIJ0hNcgfM", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 289 + }, + "outputId": "e9070d93-f86a-4424-d2d8-73e1dac76008" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\n", + "Aggregating scooter trips to 4-hour blocks...\n", + "Scooter aggregated shape: (145457, 7)\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + " date time_block region_id trip_count avg_distance_m \\\n", + "0 2022-05-10 08:00-11:59 4 5 452.2 \n", + "1 2022-05-10 08:00-11:59 11 2 436.5 \n", + "2 2022-05-10 08:00-11:59 27 1 471.0 \n", + "3 2022-05-10 08:00-11:59 29 17 136.5 \n", + "4 2022-05-10 12:00-15:59 4 9 494.5 \n", + "5 2022-05-10 12:00-15:59 11 1 861.0 \n", + "\n", + " avg_duration_s unique_vendors \n", + "0 214.4 1 \n", + "1 319.0 1 \n", + "2 168.0 1 \n", + "3 177.1 1 \n", + "4 468.0 1 \n", + "5 354.0 1 " + ], + "text/html": [ + "\n", + "
\n", + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
datetime_blockregion_idtrip_countavg_distance_mavg_duration_sunique_vendors
02022-05-1008:00-11:5945452.2214.41
12022-05-1008:00-11:59112436.5319.01
22022-05-1008:00-11:59271471.0168.01
32022-05-1008:00-11:592917136.5177.11
42022-05-1012:00-15:5949494.5468.01
52022-05-1012:00-15:59111861.0354.01
\n", + "
\n", + "
\n", + "\n", + "
\n", + " \n", + "\n", + " \n", + "\n", + " \n", + "
\n", + "\n", + "\n", + "
\n", + "
\n" + ], + "application/vnd.google.colaboratory.intrinsic+json": { + "type": "dataframe", + "summary": "{\n \"name\": \"display(scooter_agg\",\n \"rows\": 6,\n \"fields\": [\n {\n \"column\": \"date\",\n \"properties\": {\n \"dtype\": \"date\",\n \"min\": \"2022-05-10 00:00:00\",\n \"max\": \"2022-05-10 00:00:00\",\n \"num_unique_values\": 1,\n \"samples\": [\n \"2022-05-10 00:00:00\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"time_block\",\n \"properties\": {\n \"dtype\": \"object\",\n \"num_unique_values\": 2,\n \"samples\": [\n \"12:00-15:59\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"region_id\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 11,\n \"min\": 4,\n \"max\": 29,\n \"num_unique_values\": 4,\n \"samples\": [\n 11\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"trip_count\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 6,\n \"min\": 1,\n \"max\": 17,\n \"num_unique_values\": 5,\n \"samples\": [\n 2\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"avg_distance_m\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 230.6408933096355,\n \"min\": 136.5,\n \"max\": 861.0,\n \"num_unique_values\": 6,\n \"samples\": [\n 452.2\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"avg_duration_s\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 118.07347571180695,\n \"min\": 168.0,\n \"max\": 468.0,\n \"num_unique_values\": 6,\n \"samples\": [\n 214.4\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"unique_vendors\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0,\n \"min\": 1,\n \"max\": 1,\n \"num_unique_values\": 1,\n \"samples\": [\n 1\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}" + } + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "# ── 4. Align date formats before join ─────────────────────────\n", + "# Convert congestion date to datetime\n", + "congestion['date'] = pd.to_datetime(congestion['date'], errors='coerce')\n", + "\n", + "# Ensure scooter dates are timezone-naive to match congestion dates\n", + "scooter_agg['date'] = pd.to_datetime(scooter_agg['date']).dt.tz_localize(None)\n", + "\n", + "# Both region_id are int — we're ready to join\n", + "\n", + "print(\"\\nJoining scooter and congestion datasets...\")\n", + "\n", + "merged = pd.merge(\n", + " congestion,\n", + " scooter_agg,\n", + " on=['date', 'time_block', 'region_id'],\n", + " how='inner' # only keep blocks that exist in BOTH datasets\n", + ")\n", + "\n", + "if len(merged) > 0:\n", + " # Extract year for the train/test split\n", + " merged['year'] = merged['date'].dt.year\n", + "\n", + " # Reformat date back to MM/DD/YYYY for readability in the output\n", + " merged['date'] = merged['date'].dt.strftime('%m/%d/%Y')\n", + "\n", + " # Reorder columns cleanly\n", + " merged = merged[[\n", + " 'date',\n", + " 'time_block',\n", + " 'region_id',\n", + " 'region_name',\n", + " 'description',\n", + " 'trip_count',\n", + " 'avg_distance_m',\n", + " 'avg_duration_s',\n", + " 'unique_vendors',\n", + " 'avg_speed_mph',\n", + " 'avg_bus_count',\n", + " 'avg_num_reads',\n", + " 'congestion_level',\n", + " 'num_readings',\n", + " 'year',\n", + " ]]\n", + "\n", + " print(f\"\\nMerged dataset shape: {merged.shape}\")\n", + " print(f\"Date range: {merged['date'].iloc[0]} → {merged['date'].iloc[-1]}\")\n", + " print(f\"Regions covered: {merged['region_id'].nunique()}\")\n", + " display(merged.head(10))\n", + "\n", + " # Sanity check: rows per year\n", + " print(\"\\n── Rows per year ──\")\n", + " print(merged['year'].value_counts().sort_index())\n", + "else:\n", + " print(\"\\nMerge resulted in 0 rows. Please check that dates match between datasets.\")\n" + ], + "metadata": { + "id": "ybgXkizccmLp", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000 + }, + "outputId": "810d8a80-04f5-4f37-a0ca-11eb8052d928" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\n", + "Joining scooter and congestion datasets...\n", + "\n", + "Merged dataset shape: (120013, 15)\n", + "Date range: 05/10/2022 → 06/18/2025\n", + "Regions covered: 28\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + " date time_block region_id region_name \\\n", + "0 05/10/2022 08:00-11:59 4 Edge Water-Uptown \n", + "1 05/10/2022 12:00-15:59 4 Edge Water-Uptown \n", + "2 05/10/2022 16:00-19:59 4 Edge Water-Uptown \n", + "3 05/10/2022 20:00-23:59 4 Edge Water-Uptown \n", + "4 05/10/2022 16:00-19:59 9 Austin \n", + "5 05/10/2022 20:00-23:59 9 Austin \n", + "6 05/10/2022 08:00-11:59 11 West Town-Near West \n", + "7 05/10/2022 12:00-15:59 11 West Town-Near West \n", + "8 05/10/2022 16:00-19:59 11 West Town-Near West \n", + "9 05/10/2022 20:00-23:59 11 West Town-Near West \n", + "\n", + " description trip_count avg_distance_m \\\n", + "0 Montrose to Devon. Ravenswood to Lake Shore 5 452.2 \n", + "1 Montrose to Devon. Ravenswood to Lake Shore 9 494.5 \n", + "2 Montrose to Devon. Ravenswood to Lake Shore 26 427.6 \n", + "3 Montrose to Devon. Ravenswood to Lake Shore 10 83.0 \n", + "4 Roosevelt to North Ave. Austin to Cicero 4 20.5 \n", + "5 Roosevelt to North Ave. Austin to Cicero 1 NaN \n", + "6 Roosevelt to North. Rockwell to Halsted 2 436.5 \n", + "7 Roosevelt to North. Rockwell to Halsted 1 861.0 \n", + "8 Roosevelt to North. Rockwell to Halsted 9 NaN \n", + "9 Roosevelt to North. Rockwell to Halsted 9 NaN \n", + "\n", + " avg_duration_s unique_vendors avg_speed_mph avg_bus_count \\\n", + "0 214.4 1 21.72 44.8 \n", + "1 468.0 1 20.78 39.9 \n", + "2 536.7 1 19.24 51.0 \n", + "3 509.7 1 22.86 23.9 \n", + "4 265.7 1 24.40 25.9 \n", + "5 817.0 1 26.99 12.6 \n", + "6 319.0 1 21.51 78.5 \n", + "7 354.0 1 20.62 70.1 \n", + "8 660.8 1 20.88 70.5 \n", + "9 637.7 1 24.16 30.2 \n", + "\n", + " avg_num_reads congestion_level num_readings year \n", + "0 907.7 free_flow 24 2022 \n", + "1 813.0 free_flow 24 2022 \n", + "2 1001.0 moderate 24 2022 \n", + "3 526.3 free_flow 24 2022 \n", + "4 551.4 free_flow 24 2022 \n", + "5 300.9 free_flow 24 2022 \n", + "6 1642.5 free_flow 24 2022 \n", + "7 1488.0 free_flow 24 2022 \n", + "8 1415.5 free_flow 24 2022 \n", + "9 669.7 free_flow 24 2022 " + ], + "text/html": [ + "\n", + "
\n", + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
datetime_blockregion_idregion_namedescriptiontrip_countavg_distance_mavg_duration_sunique_vendorsavg_speed_mphavg_bus_countavg_num_readscongestion_levelnum_readingsyear
005/10/202208:00-11:594Edge Water-UptownMontrose to Devon. Ravenswood to Lake Shore5452.2214.4121.7244.8907.7free_flow242022
105/10/202212:00-15:594Edge Water-UptownMontrose to Devon. Ravenswood to Lake Shore9494.5468.0120.7839.9813.0free_flow242022
205/10/202216:00-19:594Edge Water-UptownMontrose to Devon. Ravenswood to Lake Shore26427.6536.7119.2451.01001.0moderate242022
305/10/202220:00-23:594Edge Water-UptownMontrose to Devon. Ravenswood to Lake Shore1083.0509.7122.8623.9526.3free_flow242022
405/10/202216:00-19:599AustinRoosevelt to North Ave. Austin to Cicero420.5265.7124.4025.9551.4free_flow242022
505/10/202220:00-23:599AustinRoosevelt to North Ave. Austin to Cicero1NaN817.0126.9912.6300.9free_flow242022
605/10/202208:00-11:5911West Town-Near WestRoosevelt to North. Rockwell to Halsted2436.5319.0121.5178.51642.5free_flow242022
705/10/202212:00-15:5911West Town-Near WestRoosevelt to North. Rockwell to Halsted1861.0354.0120.6270.11488.0free_flow242022
805/10/202216:00-19:5911West Town-Near WestRoosevelt to North. Rockwell to Halsted9NaN660.8120.8870.51415.5free_flow242022
905/10/202220:00-23:5911West Town-Near WestRoosevelt to North. Rockwell to Halsted9NaN637.7124.1630.2669.7free_flow242022
\n", + "
\n", + "
\n", + "\n", + "
\n", + " \n", + "\n", + " \n", + "\n", + " \n", + "
\n", + "\n", + "\n", + "
\n", + "
\n" + ], + "application/vnd.google.colaboratory.intrinsic+json": { + "type": "dataframe", + "summary": "{\n \"name\": \" print(\\\"\\\\nMerge resulted in 0 rows\",\n \"rows\": 10,\n \"fields\": [\n {\n \"column\": \"date\",\n \"properties\": {\n \"dtype\": \"object\",\n \"num_unique_values\": 1,\n \"samples\": [\n \"05/10/2022\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"time_block\",\n \"properties\": {\n \"dtype\": \"object\",\n \"num_unique_values\": 4,\n \"samples\": [\n \"12:00-15:59\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"region_id\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 3,\n \"min\": 4,\n \"max\": 11,\n \"num_unique_values\": 3,\n \"samples\": [\n 4\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"region_name\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 3,\n \"samples\": [\n \"Edge Water-Uptown\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"description\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 3,\n \"samples\": [\n \"Montrose to Devon. Ravenswood to Lake Shore\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"trip_count\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 7,\n \"min\": 1,\n \"max\": 26,\n \"num_unique_values\": 7,\n \"samples\": [\n 5\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"avg_distance_m\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 280.08694908477804,\n \"min\": 20.5,\n \"max\": 861.0,\n \"num_unique_values\": 7,\n \"samples\": [\n 452.2\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"avg_duration_s\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 192.52816821326576,\n \"min\": 214.4,\n \"max\": 817.0,\n \"num_unique_values\": 10,\n \"samples\": [\n 660.8\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"unique_vendors\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0,\n \"min\": 1,\n \"max\": 1,\n \"num_unique_values\": 1,\n \"samples\": [\n 1\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"avg_speed_mph\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 2.3009669465007287,\n \"min\": 19.24,\n \"max\": 26.99,\n \"num_unique_values\": 10,\n \"samples\": [\n 20.88\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"avg_bus_count\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 22.466528189484215,\n \"min\": 12.6,\n \"max\": 78.5,\n \"num_unique_values\": 10,\n \"samples\": [\n 70.5\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"avg_num_reads\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 452.61790851789226,\n \"min\": 300.9,\n \"max\": 1642.5,\n \"num_unique_values\": 10,\n \"samples\": [\n 1415.5\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"congestion_level\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 2,\n \"samples\": [\n \"moderate\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"num_readings\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0,\n \"min\": 24,\n \"max\": 24,\n \"num_unique_values\": 1,\n \"samples\": [\n 24\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"year\",\n \"properties\": {\n \"dtype\": \"int32\",\n \"num_unique_values\": 1,\n \"samples\": [\n 2022\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}" + } + }, + "metadata": {} + }, + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\n", + "── Rows per year ──\n", + "year\n", + "2022 25119\n", + "2023 30996\n", + "2024 38073\n", + "2025 25825\n", + "Name: count, dtype: int64\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "\n", + "# EDA — TRIP COUNT ANALYSIS\n", + "# 1. Average trip count per region\n", + "# 2. Average trip count per region per month\n", + "# 3. Average trip count per region per day of week\n", + "# 4. Average trip count per region per time block (hour proxy)\n", + "\n", + "# Re-parse date and extract time features from the merged dataset\n", + "merged['date_dt'] = pd.to_datetime(merged['date'], format='%m/%d/%Y')\n", + "merged['month'] = merged['date_dt'].dt.month\n", + "merged['month_name'] = merged['date_dt'].dt.strftime('%b')\n", + "merged['day_of_week'] = merged['date_dt'].dt.day_name()\n", + "\n", + "# ── 1. Average trip count per region ─────────────────────────\n", + "print(\"── 1. Average trip count per region ──\")\n", + "\n", + "region_avg = (\n", + " merged.groupby(['region_id', 'region_name'])['trip_count']\n", + " .mean()\n", + " .round(1)\n", + " .reset_index()\n", + " .sort_values('trip_count', ascending=False)\n", + ")\n", + "print(region_avg.to_string(index=False))\n", + "\n", + "fig, ax = plt.subplots(figsize=(14, 6))\n", + "sns.barplot(\n", + " data=region_avg,\n", + " x='region_name', y='trip_count',\n", + " palette='Blues_d', ax=ax\n", + ")\n", + "ax.set_title('Average Scooter Trip Count per Region (2022–2025)', fontsize=14, fontweight='bold')\n", + "ax.set_xlabel('Region')\n", + "ax.set_ylabel('Avg Trip Count per 4-Hour Block')\n", + "ax.tick_params(axis='x', rotation=60)\n", + "plt.tight_layout()\n", + "plt.savefig('/content/drive/My Drive/data 400/graphs/trip_count_by_region.png', dpi=150, bbox_inches='tight')\n", + "plt.show()\n", + "\n", + "\n", + "# ── 2. Average trip count per region per month ───────────────\n", + "print(\"\\n── 2. Average trip count per region per month ──\")\n", + "\n", + "month_order = ['Jan','Feb','Mar','Apr','May','Jun',\n", + " 'Jul','Aug','Sep','Oct','Nov','Dec']\n", + "\n", + "region_month_avg = (\n", + " merged.groupby(['region_name', 'month', 'month_name'])['trip_count']\n", + " .mean()\n", + " .round(1)\n", + " .reset_index()\n", + ")\n", + "# For the table: pivot so regions are rows, months are columns\n", + "region_month_pivot = region_month_avg.pivot_table(\n", + " index='region_name', columns='month_name', values='trip_count'\n", + ")[month_order]\n", + "print(region_month_pivot.round(1).to_string())\n", + "\n", + "# Heatmap\n", + "fig, ax = plt.subplots(figsize=(16, 10))\n", + "sns.heatmap(\n", + " region_month_pivot,\n", + " annot=True, fmt='.0f',\n", + " cmap='YlOrRd',\n", + " linewidths=0.5,\n", + " ax=ax,\n", + " annot_kws={'size': 8}\n", + ")\n", + "ax.set_title('Avg Scooter Trip Count by Region and Month', fontsize=14, fontweight='bold')\n", + "ax.set_xlabel('Month')\n", + "ax.set_ylabel('Region')\n", + "ax.tick_params(axis='y', labelsize=8)\n", + "plt.tight_layout()\n", + "plt.savefig('/content/drive/My Drive/data 400/graphs/trip_count_region_month.png', dpi=150, bbox_inches='tight')\n", + "plt.show()\n", + "\n", + "# Line chart: top 5 regions by total trips across months\n", + "top5_regions = region_avg.head(5)['region_name'].tolist()\n", + "top5_monthly = region_month_avg[region_month_avg['region_name'].isin(top5_regions)]\n", + "\n", + "fig, ax = plt.subplots(figsize=(12, 5))\n", + "for region in top5_regions:\n", + " data = top5_monthly[top5_monthly['region_name'] == region].sort_values('month')\n", + " ax.plot(data['month_name'], data['trip_count'], marker='o', linewidth=1.8, label=region)\n", + "\n", + "ax.set_title('Monthly Avg Trip Count — Top 5 Regions', fontsize=13, fontweight='bold')\n", + "ax.set_xlabel('Month')\n", + "ax.set_ylabel('Avg Trip Count per 4-Hour Block')\n", + "ax.legend(fontsize=8, loc='upper left')\n", + "ax.grid(axis='y', alpha=0.3)\n", + "plt.tight_layout()\n", + "plt.savefig('/content/drive/My Drive/data 400/graphs/trip_count_top5_monthly.png', dpi=150, bbox_inches='tight')\n", + "plt.show()\n", + "\n", + "\n", + "# ── 3. Average trip count per region per day of week ─────────\n", + "print(\"\\n── 3. Average trip count per region per day of week ──\")\n", + "\n", + "dow_order = ['Monday','Tuesday','Wednesday','Thursday','Friday','Saturday','Sunday']\n", + "\n", + "region_dow_avg = (\n", + " merged.groupby(['region_name', 'day_of_week'])['trip_count']\n", + " .mean()\n", + " .round(1)\n", + " .reset_index()\n", + ")\n", + "\n", + "# Pivot table\n", + "region_dow_pivot = region_dow_avg.pivot_table(\n", + " index='region_name', columns='day_of_week', values='trip_count'\n", + ")[dow_order]\n", + "print(region_dow_pivot.round(1).to_string())\n", + "\n", + "# Heatmap\n", + "fig, ax = plt.subplots(figsize=(14, 10))\n", + "sns.heatmap(\n", + " region_dow_pivot,\n", + " annot=True, fmt='.0f',\n", + " cmap='YlOrRd',\n", + " linewidths=0.5,\n", + " ax=ax,\n", + " annot_kws={'size': 8}\n", + ")\n", + "ax.set_title('Avg Scooter Trip Count by Region and Day of Week', fontsize=14, fontweight='bold')\n", + "ax.set_xlabel('Day of Week')\n", + "ax.set_ylabel('Region')\n", + "ax.tick_params(axis='y', labelsize=8)\n", + "plt.tight_layout()\n", + "plt.savefig('/content/drive/My Drive/data 400/graphs/trip_count_region_dow.png', dpi=150, bbox_inches='tight')\n", + "plt.show()\n", + "\n", + "# Bar chart: city-wide average by day of week\n", + "citywide_dow = (\n", + " merged.groupby('day_of_week')['trip_count']\n", + " .mean()\n", + " .reindex(dow_order)\n", + " .reset_index()\n", + ")\n", + "\n", + "fig, ax = plt.subplots(figsize=(10, 5))\n", + "colors = ['#2E6099' if d not in ['Saturday','Sunday'] else '#E07B39' for d in dow_order]\n", + "ax.bar(citywide_dow['day_of_week'], citywide_dow['trip_count'], color=colors)\n", + "ax.set_title('City-Wide Avg Trip Count by Day of Week', fontsize=13, fontweight='bold')\n", + "ax.set_xlabel('Day of Week')\n", + "ax.set_ylabel('Avg Trip Count per 4-Hour Block')\n", + "ax.tick_params(axis='x', rotation=30)\n", + "ax.grid(axis='y', alpha=0.3)\n", + "# Legend\n", + "from matplotlib.patches import Patch\n", + "ax.legend(handles=[\n", + " Patch(color='#2E6099', label='Weekday'),\n", + " Patch(color='#E07B39', label='Weekend')\n", + "], fontsize=9)\n", + "plt.tight_layout()\n", + "plt.savefig('/content/drive/My Drive/data 400/graphs/trip_count_dow_citywide.png', dpi=150, bbox_inches='tight')\n", + "plt.show()\n", + "\n", + "\n", + "# ── 4. Average trip count per region per time block ──────────\n", + "print(\"\\n── 4. Average trip count per region per time block ──\")\n", + "\n", + "block_order = ['00:00-03:59','04:00-07:59','08:00-11:59',\n", + " '12:00-15:59','16:00-19:59','20:00-23:59']\n", + "\n", + "region_block_avg = (\n", + " merged.groupby(['region_name', 'time_block'])['trip_count']\n", + " .mean()\n", + " .round(1)\n", + " .reset_index()\n", + ")\n", + "\n", + "# Pivot table\n", + "region_block_pivot = region_block_avg.pivot_table(\n", + " index='region_name', columns='time_block', values='trip_count'\n", + ")[block_order]\n", + "print(region_block_pivot.round(1).to_string())\n", + "\n", + "# Heatmap\n", + "fig, ax = plt.subplots(figsize=(14, 10))\n", + "sns.heatmap(\n", + " region_block_pivot,\n", + " annot=True, fmt='.0f',\n", + " cmap='YlOrRd',\n", + " linewidths=0.5,\n", + " ax=ax,\n", + " annot_kws={'size': 9}\n", + ")\n", + "ax.set_title('Avg Scooter Trip Count by Region and Time Block', fontsize=14, fontweight='bold')\n", + "ax.set_xlabel('4-Hour Time Block')\n", + "ax.set_ylabel('Region')\n", + "ax.tick_params(axis='y', labelsize=8)\n", + "plt.tight_layout()\n", + "plt.savefig('/content/drive/My Drive/data 400/graphs/trip_count_region_timeblock.png', dpi=150, bbox_inches='tight')\n", + "plt.show()\n", + "\n", + "# Bar chart: city-wide average by time block\n", + "citywide_block = (\n", + " merged.groupby('time_block')['trip_count']\n", + " .mean()\n", + " .reindex(block_order)\n", + " .reset_index()\n", + ")\n", + "\n", + "fig, ax = plt.subplots(figsize=(10, 5))\n", + "block_colors = ['#1A3557','#2E6099','#E07B39','#2E6099','#E07B39','#1A3557']\n", + "ax.bar(citywide_block['time_block'], citywide_block['trip_count'], color=block_colors)\n", + "ax.set_title('City-Wide Avg Trip Count by 4-Hour Time Block', fontsize=13, fontweight='bold')\n", + "ax.set_xlabel('Time Block')\n", + "ax.set_ylabel('Avg Trip Count per Block')\n", + "ax.tick_params(axis='x', rotation=20)\n", + "ax.grid(axis='y', alpha=0.3)\n", + "plt.tight_layout()\n", + "plt.savefig('/content/drive/My Drive/data 400/graphs/trip_count_timeblock_citywide.png', dpi=150, bbox_inches='tight')\n", + "plt.show()\n", + "\n", + "print(\"\\nAll EDA graphs saved to /graphs/ folder.\")" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000 + }, + "id": "sqETwV1A5Ibs", + "outputId": "c2c10989-a4b6-44b9-867a-c180d0895a3a" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "── 1. Average trip count per region ──\n", + " region_id region_name trip_count\n", + " 27 South Deering-East Side 373.0\n", + " 4 Edge Water-Uptown 244.8\n", + " 11 West Town-Near West 196.1\n", + " 28 Riverdale-Hegewisch 159.1\n", + " 29 Downtown Lakefront 149.2\n", + " 9 Austin 141.7\n", + " 10 Humboldt-Garfield Prk E/W 100.5\n", + " 7 Hermosa-Logan Square 90.3\n", + " 25 Beverly-Mt Greenwood-Morgan Park 87.7\n", + " 15 Bridgeport-McKinley-Lower West 81.6\n", + " 26 Washington Hts-Roseland-Pullman 77.1\n", + " 21 Hyde Park-Kenwood-Woodlawn 75.1\n", + " 2 Far North West 73.4\n", + " 6 Irving Park-Avondale-North Ctr 66.0\n", + " 20 Fuller-Grand Blvd-Washington Park 66.0\n", + " 19 New City-Englewood-W Englewood 59.8\n", + " 22 Ashburn 46.5\n", + " 16 Near South-Douglas 42.6\n", + " 12 Near North 41.6\n", + " 17 Midway-Garfield Rdg-Clearing 33.1\n", + " 13 Chicago Loop 31.6\n", + " 8 Lincoln Park-Lake View 30.7\n", + " 14 Lawndale N/S 28.5\n", + " 1 Rogers Park - West Ridge 26.4\n", + " 18 South West Side 26.4\n", + " 5 Dunning-Portage-Belmont Cragn 17.7\n", + " 23 Auburn Gresham-Chatham 17.3\n", + " 24 South Shore-S Chicago-Avlon 1.8\n" + ] + }, + { + "output_type": "stream", + "name": "stderr", + "text": [ + "/tmp/ipykernel_1742/1608154934.py:26: FutureWarning: \n", + "\n", + "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n", + "\n", + " sns.barplot(\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": "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\n" + }, + "metadata": {} + }, + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\n", + "── 2. Average trip count per region per month ──\n", + "month_name Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec\n", + "region_name \n", + "Ashburn 15.3 13.6 25.5 40.8 57.9 57.2 44.9 57.3 61.6 58.2 51.9 36.6\n", + "Auburn Gresham-Chatham 5.7 6.3 11.3 16.6 22.8 20.1 16.2 18.0 21.0 25.6 19.6 12.0\n", + "Austin 21.0 31.7 73.2 116.8 129.9 168.8 221.1 215.4 233.0 209.3 159.0 78.8\n", + "Beverly-Mt Greenwood-Morgan Park 27.9 25.3 42.4 67.2 92.5 94.3 96.2 105.8 123.1 127.1 111.3 83.6\n", + "Bridgeport-McKinley-Lower West 34.7 37.8 46.2 72.5 91.0 68.9 73.9 73.9 99.5 153.8 139.3 86.9\n", + "Chicago Loop 7.8 12.0 17.1 25.1 25.6 28.7 44.9 50.6 54.0 51.1 38.0 16.1\n", + "Downtown Lakefront 28.8 39.3 65.8 86.6 119.9 157.4 265.3 247.8 261.4 226.3 148.5 80.4\n", + "Dunning-Portage-Belmont Cragn 3.9 4.1 8.6 15.9 23.7 25.4 15.2 18.6 22.8 25.6 17.7 8.8\n", + "Edge Water-Uptown 41.6 55.3 101.4 141.5 180.0 248.1 441.8 417.1 442.2 396.6 268.5 136.9\n", + "Far North West 21.6 20.8 36.5 50.8 67.9 76.7 86.7 95.5 111.1 104.6 82.6 59.2\n", + "Fuller-Grand Blvd-Washington Park 24.5 28.1 46.7 67.1 89.3 78.5 57.8 69.0 83.1 86.6 74.3 54.5\n", + "Hermosa-Logan Square 27.5 30.9 51.7 80.8 122.2 116.6 90.4 104.6 112.4 115.7 94.0 59.8\n", + "Humboldt-Garfield Prk E/W 22.2 25.5 47.3 75.7 114.0 136.4 120.8 141.2 132.8 116.2 90.5 60.3\n", + "Hyde Park-Kenwood-Woodlawn 23.9 27.3 45.4 68.7 100.7 95.2 67.4 87.2 97.6 100.2 79.1 55.1\n", + "Irving Park-Avondale-North Ctr 18.6 19.1 34.1 56.5 86.3 85.1 63.3 78.4 88.5 86.7 72.6 46.0\n", + "Lawndale N/S 10.9 10.0 16.5 24.6 33.1 33.6 28.1 31.7 37.2 38.6 35.3 24.9\n", + "Lincoln Park-Lake View 10.1 10.0 18.1 26.9 37.4 38.5 32.0 37.5 37.2 37.8 33.3 23.6\n", + "Midway-Garfield Rdg-Clearing 12.5 10.7 23.3 32.6 40.0 36.0 29.7 37.9 43.8 43.7 39.2 28.4\n", + "Near North 9.7 13.0 22.8 36.3 40.8 46.5 59.0 57.3 64.2 58.8 50.2 27.1\n", + "Near South-Douglas 15.1 16.8 26.6 39.6 48.0 50.2 42.0 50.0 54.7 55.2 47.8 38.2\n", + "New City-Englewood-W Englewood 16.9 19.7 46.3 67.4 74.7 66.9 59.3 71.4 86.5 86.9 74.2 45.4\n", + "Riverdale-Hegewisch 31.3 37.7 85.0 138.6 159.6 180.8 203.1 227.2 244.0 226.5 179.2 111.6\n", + "Rogers Park - West Ridge 9.0 8.8 15.6 22.4 30.1 34.9 27.3 30.4 34.9 33.4 27.2 19.9\n", + "South Deering-East Side 61.4 72.3 199.4 289.9 305.2 374.7 547.4 586.3 635.4 609.4 460.8 262.7\n", + "South Shore-S Chicago-Avlon 1.0 1.0 1.8 1.9 1.8 1.8 1.8 1.9 1.8 1.3 1.0 1.0\n", + "South West Side 6.9 7.5 15.5 24.6 31.2 33.2 27.9 33.1 34.1 31.1 25.9 17.2\n", + "Washington Hts-Roseland-Pullman 22.9 23.5 37.9 56.9 83.0 85.7 81.8 93.3 110.6 116.0 92.6 62.3\n", + "West Town-Near West 46.7 66.3 98.0 145.6 151.7 202.8 297.1 312.7 348.3 314.4 238.6 115.5\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": "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\n" + }, + "metadata": {} + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": "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\n" + }, + "metadata": {} + }, + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\n", + "── 3. Average trip count per region per day of week ──\n", + "day_of_week Monday Tuesday Wednesday Thursday Friday Saturday Sunday\n", + "region_name \n", + "Ashburn 44.8 45.2 45.2 49.3 54.6 45.7 40.7\n", + "Auburn Gresham-Chatham 16.6 16.8 16.7 17.6 20.9 17.5 15.1\n", + "Austin 121.5 133.9 140.7 146.9 162.4 161.1 124.8\n", + "Beverly-Mt Greenwood-Morgan Park 91.9 85.1 84.4 86.0 96.0 89.1 81.2\n", + "Bridgeport-McKinley-Lower West 81.6 81.6 83.4 84.8 91.4 77.1 71.2\n", + "Chicago Loop 30.7 31.2 30.9 32.0 34.6 32.7 29.0\n", + "Downtown Lakefront 141.4 152.1 153.2 156.7 151.3 154.2 135.3\n", + "Dunning-Portage-Belmont Cragn 17.5 18.0 17.8 18.1 20.5 17.1 14.4\n", + "Edge Water-Uptown 220.6 237.6 248.1 247.1 254.8 275.2 229.3\n", + "Far North West 67.8 68.6 69.7 71.5 80.7 83.4 71.8\n", + "Fuller-Grand Blvd-Washington Park 67.8 67.3 67.4 68.6 75.5 60.8 54.3\n", + "Hermosa-Logan Square 91.5 91.2 90.4 93.7 105.8 84.9 74.1\n", + "Humboldt-Garfield Prk E/W 96.0 98.7 99.2 103.1 116.5 102.7 86.6\n", + "Hyde Park-Kenwood-Woodlawn 73.8 73.9 73.2 77.5 86.5 73.8 66.6\n", + "Irving Park-Avondale-North Ctr 65.1 66.9 67.1 68.1 75.9 63.9 55.1\n", + "Lawndale N/S 27.5 28.0 28.6 28.9 31.6 29.3 25.6\n", + "Lincoln Park-Lake View 29.8 31.9 30.8 31.1 36.1 30.3 24.8\n", + "Midway-Garfield Rdg-Clearing 32.2 32.2 32.5 34.4 38.7 32.8 28.9\n", + "Near North 40.1 42.5 42.7 42.9 47.4 39.6 36.0\n", + "Near South-Douglas 40.9 42.2 42.5 45.7 49.3 40.6 37.0\n", + "New City-Englewood-W Englewood 61.0 61.8 62.9 63.1 69.2 53.1 47.4\n", + "Riverdale-Hegewisch 144.6 150.5 153.2 158.6 182.1 165.5 159.0\n", + "Rogers Park - West Ridge 25.7 26.3 26.1 26.7 29.8 26.3 23.9\n", + "South Deering-East Side 316.8 329.5 338.6 351.3 414.1 489.2 372.3\n", + "South Shore-S Chicago-Avlon 1.6 2.0 1.9 1.6 1.6 1.9 1.9\n", + "South West Side 25.6 25.4 24.6 26.5 29.0 27.7 26.0\n", + "Washington Hts-Roseland-Pullman 71.0 73.5 74.8 76.3 91.8 87.1 64.7\n", + "West Town-Near West 187.3 218.2 221.1 226.1 212.5 166.6 138.9\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": "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\n" + }, + "metadata": {} + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": "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\n" + }, + "metadata": {} + }, + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\n", + "── 4. Average trip count per region per time block ──\n", + "time_block 00:00-03:59 04:00-07:59 08:00-11:59 12:00-15:59 16:00-19:59 20:00-23:59\n", + "region_name \n", + "Ashburn 4.4 12.6 44.8 69.8 87.7 50.9\n", + "Auburn Gresham-Chatham 1.9 4.4 13.7 23.9 31.2 18.5\n", + "Austin 16.8 35.7 149.2 185.0 279.8 166.6\n", + "Beverly-Mt Greenwood-Morgan Park 9.6 20.6 79.2 125.8 162.4 108.3\n", + "Bridgeport-McKinley-Lower West 7.6 15.9 87.6 132.7 150.9 83.0\n", + "Chicago Loop 3.8 5.9 28.9 45.5 58.1 36.6\n", + "Downtown Lakefront 14.8 29.0 138.8 235.1 317.5 138.5\n", + "Dunning-Portage-Belmont Cragn 2.2 3.9 12.4 24.3 32.4 20.3\n", + "Edge Water-Uptown 24.4 73.3 257.6 338.3 506.1 248.7\n", + "Far North West 7.5 16.4 72.8 109.2 140.7 82.7\n", + "Fuller-Grand Blvd-Washington Park 5.3 20.5 58.6 100.5 129.0 72.7\n", + "Hermosa-Logan Square 6.3 25.6 81.9 134.5 180.0 100.0\n", + "Humboldt-Garfield Prk E/W 8.6 27.6 96.0 150.9 195.1 116.4\n", + "Hyde Park-Kenwood-Woodlawn 5.7 21.4 71.6 116.4 144.4 82.3\n", + "Irving Park-Avondale-North Ctr 6.2 18.4 61.5 98.7 127.7 74.9\n", + "Lawndale N/S 3.1 7.6 29.5 42.7 49.8 29.3\n", + "Lincoln Park-Lake View 4.0 8.0 28.0 44.0 57.3 34.0\n", + "Midway-Garfield Rdg-Clearing 3.3 8.7 31.4 48.8 60.5 35.8\n", + "Near North 4.3 12.6 42.1 59.3 77.1 43.6\n", + "Near South-Douglas 4.1 10.7 41.5 64.9 79.3 45.2\n", + "New City-Englewood-W Englewood 5.8 16.5 52.2 93.4 112.6 62.1\n", + "Riverdale-Hegewisch 13.9 37.6 129.0 191.0 259.9 163.3\n", + "Rogers Park - West Ridge 3.1 7.7 22.9 36.3 46.7 31.9\n", + "South Deering-East Side 47.5 77.6 330.8 522.2 738.5 470.0\n", + "South Shore-S Chicago-Avlon 1.0 1.2 1.5 1.8 1.9 2.0\n", + "South West Side 2.4 5.1 19.0 35.9 54.4 30.2\n", + "Washington Hts-Roseland-Pullman 7.6 16.7 65.9 112.9 156.3 89.6\n", + "West Town-Near West 17.6 51.1 203.9 271.0 422.9 197.1\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": "iVBORw0KGgoAAAANSUhEUgAABRQAAAPdCAYAAAD70eSuAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjAsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvlHJYcgAAAAlwSFlzAAAPYQAAD2EBqD+naQABAABJREFUeJzs3XdUFFcbBvBn6U2aCNgVCyAgCIKCiqioKLFhjV1sUWPX2LtRoyaaqNGo2EAj9l6xxN5BrFgCdqyAILCwy3x/8Dmy1NUo6+LzO2fPYebeO/PO7Owu++69dySCIAggIiIiIiIiIiIiUoKGqgMgIiIiIiIiIiIi9cGEIhERERERERERESmNCUUiIiIiIiIiIiJSGhOKREREREREREREpDQmFImIiIiIiIiIiEhpTCgSERERERERERGR0phQJCIiIiIiIiIiIqUxoUhERERERERERERKY0KRiIiIiIiIiIiIlMaEIhEREVE+JBKJ+FizZo2qw/mm8blQ3po1axTOF+WtMM9Vz549xf34+Ph80X19TSpUqCAe99SpUwt13zExMQrP7/Hjxwt1/0RERRUTikREpFYcHR0VvhiULFkSMplM1WHlKyUlBXPnzkXt2rVhamoKbW1tWFhYwNbWFv7+/pgwYQJu3Lih6jCV9jV+Ic6eEFDm8bXEnpfTp0+jX79+cHR0VLhu6tWrhylTpuD+/fuqDvGj+fj4iOe/Z8+eqg7nk0ydOjXX60lHRweWlpaoX78+fv/9d6Smpqo6VPpC8roG8nuo6/WeVX7XfokSJeDl5YUZM2YgLi5O1aESEVEh0FJ1AERERMq6ePFijsRbbGwsDhw4gO+++05FUeUvPj4e3t7euHbtmsL6169f4/Xr17hz5w727duHEiVKwMHBQUVRUn7mzZsn/u3u7v7F9xcXF4fAwEDs2LEjR9nr169x6tQpnDp1Cv/88w972nxF0tPT8fLlS7x8+RInTpzAtm3bcPToUWhqaqokHnd3d4Vrl74OnTp1gqOjIwCgbNmyKo7m80hPT8erV6/w6tUrnD17FuvWrcPly5dhbGys6tCIiOgLYkKRiIjURl5DHNesWfPVJhTnzJmjkExs1aoVXFxcoK2tjYcPH+LcuXOIjIxUYYTq4+3bt3l+Qc0teRIaGopLly6Jy9nL8/syL5fLIZVKYWBggFGjRv2HqD/Ou3fv0KRJE4W4ra2t0bp1a5QrVw6JiYm4cuUKjhw5UmgxUf7Gjx8PU1NTxMbGIiQkBC9evAAAnDhxAnv37kXLli1VEpeDgwN/pPhCmjRpAiMjI4V1S5cuxb///gsAMDMzw/jx4xXK3ycR/fz84OfnVziBfmHjx4+HmZkZUlNTsX37dly5cgUAcO/ePaxatQrDhg1TbYBERPRlCURERGogNTVVMDMzEwAIAISqVauKf+vo6AivXr0S6969e1csAyAcO3Ysx/Y8PDzE8j59+ojr09PThV9++UWoXLmyoKOjI9jY2Ag///yzkJaWprDN1atXKxV3jRo1xDY9e/bMtU5MTIxw/fr1HOszMjKEzZs3Cy1atBBKlSol6OjoCGZmZoKLi4swfPhwQSqVKtR//PixMGrUKMHR0VEwNDQUdHV1hfLlywtdunQRzp8/n2eMW7ZsEZo3by5YWVkJ2tragqmpqeDp6SnMnz9fePfunVhv9erVCucgt0fWcy2Xy4V169YJjRs3FkqUKCFoa2sLFhYWQvPmzYW9e/fmiOPYsWMK27p7964wb948wc7OTtDR0RFatWpVwNlW1KNHD4Xt5Vdev3594cGDB0LXrl0FS0tLQSKRCNu3bxcEQcjzec9+PlJSUoTJkycLNjY2go6OjlCxYkVh2rRpOZ6n/IwdO1Zhm61atVJ4Dt578uSJsGzZshzrw8LChLZt2wqlS5cWdHR0hGLFigk1atQQJk+eLLx+/TpH/fyu6eznJ792hw4dEnx8fARDQ0PByMhI8PPzU7imp0yZUuC1Ex0dXeD5yb7fw4cPC/Xq1RMMDQ0FU1NToW3btsLdu3fF+kePHlVoExUVpbA9uVwuWFlZieVz5swpMIbsx5I17v379yuUzZ49O0f7j31dCMKnvS9lvz6zS05OFn777TfBy8tLMDU1FbS1tQVLS0uhWbNmQmhoaI762V+f9+/fF5YsWSI4OTkJurq6QokSJYTevXsLb968KfAcvhceHi4MGDBA8PDwEEqVKiXo6ekJurq6Qrly5YQOHToIJ0+ezNEm6/kvX768EB8fL4waNUooV66coK2tLVSsWFH4+eefhYyMjBxtY2JihE6dOglmZmaCgYGBUK9ePeHw4cMFnitl1K9fXyGuvHzM62rdunWCs7OzoKenJ1SqVEn47bffBEHIvB5mzJghVKhQQdDR0RHs7OyE5cuX57q/1NRUYdGiRUK9evUEMzMzQVtbW7C2thbatWsnnDlz5qOOMb9r/9WrVwpl/fv3V2hbvnx5sWzKlCk5tn3p0iWhW7duQoUKFQRdXV3B0NBQcHBwEEaMGCE8evQo13jS09OFoKAgoXHjxoKlpaX4WqpVq5YwdepUsV50dHSen1ObN28WNDU1xbLAwEBBLpd/1HkhIvpWMaFIRERqITQ0VOELwdmzZwVtbW1x+Y8//lCoX69ePbGsX79+CmX37t1T2FbWL1WdOnXKNdnRokWLT0ooOjk5KXx5TEhIUKpdSkqK4O/vn28CJi4uTqz/zz//KCRcsz80NDSEX3/9VWEfMplM6NChQ777sLe3F54+fSoIwsclFJOTkwVfX998644YMUIhnuwJi6zP4fvk2sf4mIRilSpVBGtra4X6H5tQbNiwYa7H2bJly1yTG9mlpaUJxYoVE9tZW1sLSUlJSh/viBEj8j3fpUuXzpG4zu+aVjbxUadOHUEikeTYX/HixYUXL14IgvBlEorNmjXLc79ZE4eOjo5i2ejRoxW2lzXhqKmpKV7r+ckvqRIZGalQtmLFCoW2n/K6EIRPe1/KL0n27NkzwcHBId842rZtK6Snp4ttsr8+69atm2s7b2/vAs/he4sWLco3BolEkuO6zHr+ixcvLtjb2+fadtKkSQrtoqOjc7zG3++jefPm+b5XKONzJxTd3NzyPK5WrVrlWhYUFKSwvRcvXgguLi55nl8NDQ1h4cKFSh9jXtd+SkqKsHz5coWy7EnD/BKKCxYsEDQ0NPKM08TEJMcPg69fvxbc3d3zbfNeXgnFHTt2KPwfMXDgQKXeq4mIKBMTikREpBaaNWsm/tPv6uqa57r3Vq1aJZaZm5sLaWlpYtmMGTPEMjs7O3H95s2bFb502NjYCOPHjxe6du2aI3GhbEIxe1JLX19f8PHxEUaOHCmEhoYKL1++zLXdwIEDFdqVLVtWGDJkiDBp0iQhICBA0NHREROKcXFxQvHixRX2MXDgQGHs2LEKX+IkEolw/PhxcR/Tp09X2Eft2rWFyZMnC+3bt1dY36BBA0EQBOH69evCvHnzhJo1ayqco3nz5omPhw8fCoIgCP379xfr6OjoCN27dxdmzJghdOjQQeFcrl+/Xowne8ICgODg4CCMHTtWGDNmjDB+/Hilznle576gcgBCQECAMG3aNCEwMFA4evSoIAjKJxQlEonQrVs3YcKECYKdnZ1C2dq1awuM9/Tp0wpthg4dqvSxrlu3Lsd5mzhxohAYGKjQ+6Zq1aoKSaL8rmllEx/vX0fjx4/PkZh530Pv9OnTwrx58wQbGxuxrGbNmgrXjjLJ9uz7dXNzEyZNmiS0adMm12tWEARh2bJl4norKyuF94IBAwaIZf7+/kqd69ySKhkZGcLTp0+Fbt26KbwOnz17ptD2U14Xn/q+lF9CMXvyu127dsLkyZMFT09PhfXTpk0T2+T2+mzUqJEwadIkhR9OgMwffJSxfPlyoXbt2sIPP/wgTJgwQZg9e7YwduxYhUSRubm5kJycnOf519DQELp37y6MHTtWsLCwENcbGxsr9A7O/gNNixYthMmTJ+ealPoUnzuhCEDw9PQUJk+eLNja2uYoq1+/vjBp0iSFJKmtra3C9po2bSqWFStWTOjfv78wY8YMwc/PT+F969SpU0odozI/DAAQLCwsxM+C9/JKKP7zzz8K13G5cuWEMWPGCIMGDRIMDAwUroOsvV+zv9fY29sLI0eOFMaPHy80a9ZMMDc3F+vmllDct2+foKOjI67LLZFPRET5Y0KRiIi+ek+fPlVIisybN08QhJxJlMjISLFNUlKSYGRkJJbt3r1bLKtWrZq4/pdffhHXZ/3yZWRkJPauEoScX6SUTSjGxMQIpqameX7x0tLSErp27aowZPvNmzeClpaWWKdGjRpCYmKiwnYfPnwoJkYWLFigsM19+/aJ9Z4/f65wHt738pPL5YK5ubnCF1eZTCa2++mnnxS2GR4eLpbl94VYEDJ7jmSNf9WqVQrlWZOlNWrUENdnT1jUrl1bSElJUeo85+ZjE4p59dRRNmHz888/i2UJCQkKyY06deoUGO+mTZsUtrd06VKlj9XZ2VlsV6FCBYUEzJ9//qmw3fc9L/M7NkFQPvFRtmxZ4e3bt2JZ1mH+AQEBCu2yJl169Oih9PHltl8HBweFhFHfvn0Vyt8PfU5KSlJ4DW7dulUQhMweulmHO79fXxBlkiqlSpUSDh8+rNDuU18Xn/q+lFdCMTw8XGH9Tz/9JJbJZDKFpKK5ubk4/DP767NNmzZib67Xr18rvEdn7zFekKtXrwohISHC77//LsybN0+YOXOmwr5OnDiR5zFnfd3u2LEj18+Ep0+fKiStunbtKrZJS0vL0VvzU3zuhGK1atXE9/iDBw8qlDk7O4vv11kT5gDE1+LVq1cV1r//geS9rAm5Nm3aKHWMylz7+vr6QlhYWI62eSUUs/a2LFasmPD8+XOxbN++fQrbXrBggSAIOXsCN2/eXOGHAkEQhPv374t/Z08oTpgwQdDT01NYJiKij6cBIiKir1xwcDDkcjkAQCKRoGPHjgCA1q1bQ09PT6y3evVq8W9DQ0O0b99eXP77778BAJGRkbh58yYAQFNTE926dRPrZL0RRrNmzVCiRAlxuVevXp8Ue/ny5XH58mV07doVBgYGOcplMhlCQkLQvn17CIIAADh37hxkMplYZ+zYsTluAFC2bFloa2sDAM6ePSuuL1GiBJo1ayYuW1paKiy/rxsVFYU3b96I67t27apwN9oePXoo7C/rPgpy/vx5hfgDAwMhkUjEx59//imWRUREIDk5OdftjBo1SuH5/ZLMzMwwaNCg/7SNrNeSsbExWrRoIS6/v1nBl5CcnKxwY5/27dtDX19fXO7evbtC/Y95LpXRrVs3FCtWTFyuWrWq+HdcXNxn3VdWHTt2hI6OjrjctWtXhfLLly8DyHwvCAwMFNevWLECQOZNU54/fw4AsLCwUHi+/gstLS0MGzYMjRo1Ulj/qa+Lz/2+lP35z/pa19TUVDiPb968QVRUVK7bGTBgACQSCQDA3NwcFhYWYpmyz/uVK1fg6OgIZ2dndO3aFUOHDsXo0aMxceJEhXqPHz/Otb2mpib69+8vLtva2iqUv4/j8uXL4vsrAHTp0kX8W1tbGx06dFAq3sLUoUMH8T2+QoUKCmUBAQHi+3WlSpUUyt4f8+nTpxXWN2zYUOF627dvn1h25syZT4px/PjxmDdvHmbMmCFe7ykpKfD390dYWJhS28h6Pfr5+cHS0lJczn69v6976tQphW1MmTJFPFfv2djY5LnPn3/+GampqQCA6dOnY+bMmUrFSkREiphQJCKir17Wuzt7eXmJd+ctVqwY/P39xbL169fn+ML+3s6dO5GcnIwNGzaI65o1a4aSJUuKy/Hx8eLf1tbWCjFkX/4YNjY2CA4ORlxcHM6cOYMFCxbA398fGhofPoaPHTuG8PBwAFBI9AFAxYoV891+1vpWVlY5yrOue/9lM/s+srfLvvwxiaHs286PIAh4/fp1rmV2dnZKb+e/qlSpErS0tP7TNrJ+EQYUz2FKSgqkUmm+7UuXLq2wfPv2baX2GxcXp5Asyf7cGRoaKiSk83ous24DQIHxvpc92aGrqyv+nZGRodQ2PkV+5xtQfD3/+OOP4uvt0KFDePToETZt2iSWd+3aNUdCQlnjx4/HtGnT4OzsDCDzR4KffvoJ06dPV6j3qa+Lz/2+9Lle+//1eU9JScF3332HGzduFFg3r2vRyspK4UeHrDFkjSPrOQQKvna+BqVKlRL/zpo4z16W/X3r/TF/zPX28uXLTwkRffv2xahRozBx4kSEhYXBx8cHQObzNWTIEKW28Tk+vwr6jMyLRCLJN/FIRET5+2//ORMREX1h58+fx61bt8Tl06dPi71isnvx4gX27duHli1bAgDq1q2LKlWq4O7du3j37h127tyJjRs3ivWz9+4xNTUVv8S/ePFCoSw2NvY/H4uOjg48PT3h6emJYcOGITg4WKH32N27d+Hq6gpzc3OFdtHR0XB3d89zu1nrv+9xlVXWdWZmZjna5NYu+/L7dsrIvu3hw4crfAHOzsTEJNf1hoaGSu/zv/oc+3rx4oWY7AYUz6Genl6OZEd27u7uKFasGBITEwEAmzZtwqxZs3Lt2ZqVmZkZJBKJmBDM/ty9e/cOSUlJCvXfy9ouJSVFod3du3fz3e972RNxeb0+P7fsr9Hsx21qair+XbFiRfj7+2P37t3IyMjAihUrsG3bNrH8U3sgA5lJlQoVKmD06NHw8vJCREQEAGDWrFno2rWr2IPsU18Xn/t9KbfXfvHixRWWs8rrtf9fn/cTJ07g2bNn4vLIkSMxduxYWFhYIDk5WanXpLIxZL0WgIKvna9BfgluZX78yP48T58+XaHn8pfg7u6O48ePAwBu3bqF+Pj4HOc+O3Nzc/H5+NTPr+joaIWejAWxs7PD7du3IQgCevbsCSMjI7Rq1Urp9kRElIk9FImI6KuWtXfip9TPmiiYMGECHjx4ACD3IY41a9YU/z548KBCz5ysw6k/xsSJE7Fnzx6FnpPvZR/G/P6LV+3atRW+MP7yyy85hgU/ffoU6enpADJ7bb738uVL7N+/X1x+8eKFwvL7ura2tgpfykJCQsRh5QCwdu1ahf1l3UfWL7q5DVeuVauWwvBpbW1tjBo1KsejXbt2cHJygrGxcY5tqKPg4GDx77dv32L37t3ispubW4HttbW1MXDgQHH52bNn6NatW45EH5D5/C9fvhwAYGBgIPaOA4DNmzcrtFm3bp1C26zPZdYv++fOnRP/PnjwoDhk+HMq6Nr5GKGhoeJrAMi8hrPKfs4HDx4s/j1v3jwxieHm5obq1av/p1gAQF9fHwsWLBCX09LSFIZSfurr4nO/L2V9/gHF17pcLlc4j+bm5jmGEX8u2Xsmd+nSRRw2nbX36Ofg6uqqkGxcv369+Hd6evpn39/XIPvzbGFhkev11qxZM9SuXfuz7PPixYsKy1k/U5SJ88CBAwrJ3v379yv0nnxft27dugrbmDFjRo7P2Pef9bn5/fffxSHaMpkMHTt2VHqINhERfcAeikRE9NVKTU1V6FFYsWJFeHh45Kh37do1cV7EPXv24NWrV+IX0+7du2PSpEmQy+WIjo4W2+Q2xLFv3744ePAggMwhcrVq1UKHDh3w8OHDHMkKZZ06dQo///wzihcvjvr168Pe3h6GhoaIjo5WODZjY2Pxy5KZmRn69esnzql25coVVKtWDa1bt4apqSnu3LmD7du349mzZzA1NUWPHj0wY8YM8Qt627ZtERgYCGNjY2zYsEHsnSaRSDBs2DAAgIaGBoYPH45JkyYByJybqm7dumjSpAlu376t8AW7QYMGCgmrrENzL1++jKFDh6Js2bLQ0dHBkCFDYG5ujsDAQHGuurlz5+LSpUvw8vKCnp4enjx5gnPnziE8PBw9evRA06ZNP+ncfm0mTpyI27dvo3z58tiyZQtevXollvXt21fpbRw+fFicc3Hbtm2oVKkS2rRpgzJlyiAxMRFXrlzBkSNHUKdOHfTr1w9AZu+u93M4xsTEwN3dHW3atMHTp08VEkZVq1ZVmCbA3d0dhw4dApCZEH3y5An09fXFdZ9b1mtn7969Yo80CwsL9OzZ86O2dePGDXh6esLf3x/Xr19X6HHo4+ODypUrK9T39fUVeya9nz8N+G+9E7Pz8fGBl5eXOCddSEgIpk6divLly3/y6+Jzvy85OzujUaNGOHLkiBjHv//+CwcHBxw6dEhhTruhQ4cqTM3wOWVPVHbt2hUdO3ZETEyMQnL+cyhVqhSaNWsmzhsYEhKCt2/fwsXFBfv371dq2LW6cXZ2RuPGjXH48GEAmcP+9+/fDzc3N2hoaODBgwc4c+YMbt26hSlTpuRI0iljxYoVMDMzQ2pqKk6cOCH2TgQyn9+sPV/zMnz4cOzcuROCICAxMRHu7u7o3LkzkpKSsGrVKrGeubm5ON+nk5MTmjdvLj6fe/bsgbOzM5o3bw49PT3cuHEDJ06cUHgPzkpHRwfbt29H/fr1ER4eDqlUitatW+PQoUM5ErFERJQPVd0NhoiIqCB///23wp0ZQ0JCcq135MiRPO/6KQiC0KxZsxx3osx6R+isOnXqlOudK7NvY+3atUodQ9Y7f+b10NDQEIKDgxXapaSkKNyFM7dHXFycWP+ff/7J927SGhoawvz58xX2IZPJhPbt2+e7D3t7e+HJkycK7cLDwwUNDY0cdQ0NDcU67969E3x9fQs89qx3+s1+F9no6GilznFePuYuz7ndrfq9rNvI7y66/v7+uR6jv7+/eDdcZbx69Ur47rvvCjx32WMeMWJEvvVLlSolXL9+XaHN4cOHFe5++/5RvHhxwcPDI8995XVOCjqvO3fuzDU2BwcHpc5N9uPPbVvm5ubCrVu3cm2/ePFihbq6urrCmzdvlNr3e9nvdJv9Ot2zZ49C+YABA8SyT3ldCMKnvS/ldZdnQRCEZ8+eKdztPrdH27ZthfT0dLFNQa/PvO7imx8/P788jz+vayzr+c9+N+Xsd/M9duyYWPbvv/8KlpaWeb6W8nuvUMbnvstz1mPOflxZy/J7Xp4/fy64uLgUeL0p+3wpc5fn96+rQ4cOKbTN7/pYsGBBrp8p7x8mJiYKz6UgZL5Puru759smr/P3fluxsbFCpUqVxPWmpqZCeHi4UueCiIh4l2ciIvqKZR2+bGJigoCAgFzrNWjQQOEGAfkNewYyhzg6OTnluq3g4GDMmTMHlSpVgra2NipUqIBJkyZh6dKlCvUKmhfqvXXr1mHlypXo3LkznJ2dUbJkSWhra0NfXx9VqlRBz549cfHixRx3qNXT08OePXuwadMmfPfdd7C2toa2tjaMjY3h5OSEoUOHKsyt5+3tjevXr2PkyJFwcHCAgYEBdHR0UK5cOXTp0gVnzpzByJEjFfahqamJTZs2YfPmzWjevDksLS2hpaUFExMT1KpVC/PmzcPFixdzzPPm4uKCv//+G66urnnehdnAwAAHDx7Ehg0b0Lx5c1hZWUFLSwv6+vqoVKkS2rVrh+XLl+O3335T6jyqg23btmH69OmoVKkSdHR0UKFCBUyZMgVbt279qPnlihcvjt27d+Off/5B7969YW9vD2NjY2hqasLc3Bx169bF3Llzcwxl/vXXX3H48GG0bdsWpUqVgra2NoyMjODi4oJJkyYhMjISDg4OCm18fX2xfft2uLq6QkdHB8WLF0eXLl1w+fJl2Nvbf5bzklXLli2xePFi2Nvb57jRxMfq2bMn9u7dizp16sDAwEB8jzh79myeN/Tp0aOHwhD71q1bf9T8oMrw9/dX6NG7atUqca7AT31dfO73JWtra1y8eBG//vorPD09YWJiAi0tLZQoUQJ+fn7YuHEjtmzZ8p9vVFSQrVu3YtiwYShZsiR0dHRQuXJlzJo1C0FBQZ99XxUrVsS5c+fQoUMHmJqaQl9fH56enti9e/dH945VF5aWljh//jyWLl2Khg0bwsLCApqamjA0NISdnR26du2K9evXY/To0f9pPxKJBIaGhrC3t0f//v0RHh6Oxo0bK91+2LBhOH/+PLp164by5ctDR0cH+vr6sLe3x/Dhw3Ht2jXxhi/vFS9eHKdPn8bKlSvh6+uLEiVKQEtLC2ZmZnBzcxN74+fHysoKBw8eFG/8Eh8fL/bSJyKigkkEIdst/YiIiL5hKSkpuU5cv3jxYoU52J48eZLvDRWo6FuzZo1Cspr/UqkHe3t7MWFw4MABtRhyz/clIiIi+tpwDkUiIqIsunXrBqlUiiZNmqB8+fJ49+4dTp48qdBj5n0PMCJSDxEREXj58iX27t0rJhOrVq2KJk2aqDgy5fB9iYiIiL42TCgSERFlIZPJsGfPHuzZsyfXcg8PD/GmCkSkHoYNG4Z//vlHXJZIJPjtt98+aii6KvF9iYiIiL42TCgSERFl0aNHD0gkEly5cgWvXr1Ceno6ihcvDhcXF3To0AHdunX74vOKEdGXYWBggGrVqmHixIkKd7v+2vF9iYiIiL42nEORiIiIiIiIiIiIlMa7PBMREREREREREZHSmFAkIiIiIiIiIiIipXGyFSIiIiIiIiIiUnvTJLaqDuGjTRGiVB3CJ2FCkUjdCZdUHQEVVZKaQMZZVUdBRZWGJ5B6QNVRUFGl5wckblV1FFRUFWsLxIWoOgoqqsy6Asn7VB0FFVUGzVUdARUhHPJMRERERERERERESmNCkYiIiIiIiIiIiJTGIc9ERERERERERKT22Guu8PBcExERERERERERkdKYUCQiIiIiIiIiIiKlccgzERERERERERGpPfaaKzw810RERERERERERKQ0JhSJiIiIiIiIiIhIaUwoEhERERERERERkdI4hyIREREREREREak99porPEwo0jchMTERJUuWRMeOHREUFJRv3Z49e8LFxQXDhg3LUTZ16lTEx8dj4cKFXyZQ+qJSU9PQouVYxMUl4tLFFaoOh9RUyPowbNt+CnfuPIa3txP+XDxULBsydDGuXLmL5BQpTE2N0K6tNwYOaKnCaEldpaamoUW7XxAX/w6XTs0BAHTrvQjhV6OhraUp1juwayKsLE1UFSapkRr1piosp6XJYFPRErs3DgEApMvkmP3rXuw+EAGJRIIWfs4YN8IfWlmuN6L8PH/xFtPm78fliEeABKhdswKmjGoGczPDfMuICjJ28gbs2X8F2tof3o9WLR2AGs4VAAAhG09i264LuHPvGbzr2OPPBb1VFCnRt4UJRfomhIaGws3NDdu2bcPvv/8OIyMjlcYjl8uhqcl/0Avb739sQalSFoiLS1R1KKTGLEuYYuAPLXDm7E3EPn+jUDZoUCtUrGANHR1tPH36Gn36/YrSpS3QqqWXiqIldfX7n/tRqqQZ4uLfKawfNawlenb1UU1QpNbCT05VWG7R6Q/4N6kuLi8NOobLVx9g7+ZhAIC+Q9Zi2erj+LFvo0KMktTZtPn7AQBHdwyBIAgYNWU7Zv52EL/NCMi3jEgZ33eogwmj2+RaZlnCBAP7NsGZ83cQ+zy+cAMj+oaxNyh9E4KCgjBmzBh4e3sjNDQUAHDu3Dm4ubnBxcUFjo6OWLp0qVj/1q1baNSoEapWrYqAgACkpaWJZY8ePULDhg1hZ2eHFi1a4PXr1wAyey9m7dW4ePFi9OzZEwCwZs0aNGjQAG3btoWTkxMuXLgAiUSCWbNmwcPDAxUrVsTq1au//In4hl2/Ho1TJ6+ib5/vVB0KqbkmTWrC19cNZmY5f5iwrVoWOjraAACJBNCQSPDgwfPCDpHU3PWbj3Dq9C307eWr6lCoiIq8/gj3o1+gTQtXcd3WXZcxINAHlhbGsLQwxg+BPti687IKoyR18+hJPJo1qgZDAx0YGeqiua8D7tx/UWAZ0X/VpFF1+DZwgpkpe7xSZpJL3R7qSp1jJ1LKzZs38ejRIzRt2hS9e/cWhzzPnj0bo0aNQkREBK5fv45OnTqJbSIiIrB7927cunULz58/x9atW8WykydPYsOGDbh9+zbKli2LcePGKRXH+fPnMWvWLFy7dg2enp4AAF1dXVy4cAH79+/HkCFDIJPJ8mwvlUrx9u1bhYdUKv2UU/LNkcnkmDR5JSZP7gltbXbMpi9r6rR1cK7RDz4NRyI5ORVt2tRVdUikRmQyOSZN24jJ49spDO16b+mKQ/CoNw6tO8zFjt0XVBAhFQVbdl6Ct1dVWJUwBgAkvE1B7PME2NuWEuvYVy2Jp7HxSExKVVWYpGZ6fV8bB47eQmJSKt4mpmLv4RtoULdKgWVEyti55xI86k+Af9s5WLXuGDIyMlQdEtE3jwlFKvKCgoLQvXt3aGpqonnz5oiOjsatW7fQoEEDzJgxA9OnT8epU6dgZmYmtmnTpg0MDAygqakJDw8P3L9/Xyzz9/eHtbU1AKBfv34ICwtTKg4vLy/Y2toqrOvSpQsAwM7ODlpaWoiNjc2z/ezZs2FiYqLwmD17ttLn4VsWFLQH9vbl4e5ur+pQ6BswdUp3hF9ehi2bp6BVqzowMTZQdUikRoLWHoW9XWm4u1XOUTZiyHcI2zMJp4/OxMihLTBjzlYcPnJVBVGSOktOScPeQ5Fo16rmh3XJmT9QFiumJ64z/v/f797xx0tSjmv1Mnj95h3cG8+DR5N5SHibgv496hZYRlSQbt/Xw4Ht43D26Az8PKUT1v19Aus2nFB1WETfPCYUqUhLT09HcHAw1q5diwoVKqBy5cpITk5GUFAQhg0bhr1796JkyZIYP348Bg4cKLbT0/vwD7Wmpma+PQclEgkAQEtLC3K5XFyfmqr4i35u8zZ+zH7GjRuHhIQEhYeyvSO/ZQ8exGJj6BH8NLqzqkOhb4iGhgacHCvC0FAPv8wNVXU4pCYePHyJjZtP46cRrXItr+FcEcWK6UNbWxP16tijYzsv7DsYXshRkro7EHYN+no68Kn74UdOAwNdAEBSlt6IiUmZiURDQ93CDZDUUkaGgMAh6+FavSzCj41F+LGxcK1eFoFD1udbRqQMB/uyMDc3gqamBlyqV0DfXo2w71CEqsMi+uZx7B8Vabt27YKNjQ3OnTsnrrt16xZ8fHzQt29f2Nraom/fvihbtizGjx+v1Db37duH58+fw8rKCitXroSvb+YcV5UrV8bevXshl8shlUqxdevWHD0S/wtdXV3o6ubyT73w2XZRJF2+HIVXr96iqd9IAJnDCd+9S0Wt2v2x/K/RcHbO2QuI6HORyeScQ5GUdjn8X7x6nYimLX8G8P79Sopa9cdj+aJ+cK5eQaG+xv9/0CL6GJt3XELr72oo3L3ZxFgf1lYmuBX1DOXKFAcA3Ip6ipJWJihmpJfXpohE8W9T8CQ2Ad07ekBfL3Mu4W4d3BG0/my+ZW/ik2Fuyp789HH4+Uf5Ya+5wsOEIhVpQUFB4rDi9+zt7VG6dGm0a9cOGRkZ0NHRgaamJn799VeltlmvXj107twZT548QZUqVbBmzRoAQEBAADZv3gx7e3uUKVMGNWrUQHJy8uc+JPpIzZrVhpeXo7gcHnEPEyeuwM4ds2BubqLCyEhdyWRyyOVyyGQZyMgQIJWmQSLRwMuX8bh+Ixp16zhBX18HEVfvIzjkMLp1bazqkElNNGtSA161P/wQFX41GhOnbcTOTT9BW0sT/5y8AY+aVaCjo4ULl+5i45YzmDG5owojJnXzb8xLhEc+xOwpbXOUBbRwxbJVx+HqXB4A8Nfqf9Cudc0c9YhyY25qgPJlzLF+y0X82Ls+AGD9lkuwtjQusIyoIPsOhcPbyx6Ghrq4fvMRVqw+gs4dPwyZz/zfLAMy+fv/zdIh0ZBAh3OnE31REkEQ2L+JSJ0Jl1QdgVo5f/4mBv24AJcurlB1KF8/SU0g46yqo/jqLFq8HYuX7FRY5+Fuizmz+2L0mOW4c+cRMjIEWFqaolVLL/Tv9x00NPhbaQ4ankDqAVVH8VU7f/EuBg0PwqVTc/DmTRL6D16O+9GZc+2WLmWOHl180K5NbRVH+ZXS8wMStxZc7xsz9/f9iLzxCCHL++UoS5fJMevXPdhzIHNezpbNXDBuhL9CT0b6v2JtgbgQVUfx1bkX/RKzFx7C9VvPkCEIsK9qjbFDfFHNtmS+ZZSNWVcgeZ+qo/iqdAlchKi7TyGXZ8DS0gTtWtdC7+4NxP+vFi07gMV/HVRo4+FWCcErf1RFuF83g+aqjuCLmyf5fKMEC8toIUrVIXwSJhSJ1B0TivSlMKFIXxITivQlMaFIXxITivQlMaFIXxITil8ldU0osg8wERERERERERGpPc6wWXg4BouIiIiIiIiIiIiUxoQiERERERERERERKY1DnomIiIiIiIiISO2x11zh4bkmIiIiIiIiIiIipTGhSEREREREREREREpjQpGIiIiIiIiIiIiUxjkUiYiIiIiIiIhI7bHXXOHhuSYiIiIiIiIiIiKlMaFIRERERERERERESuOQZyIiIiIiIiIiUnvsNVd4JIIgCKoOgoiIiIiIiIiI6L/4Q2Kr6hA+2hAhStUhfBL2UCRSe5dVHQAVWW6AcEnVQVBRJakJZJxVdRRUVGl4ArKTqo6CiiqtekDaMVVHQUWVTgNAflrVUVBRpVlH1RFQEcLeoERERERERERERKQ09lAkIiIiIiIiIiK1x15zhYfnmoiIiIiIiIiIiJTGhCIREREREREREREpjUOeiYiIiIiIiIhI7bHXXOHhuSYiIiIiIiIiIiKlMaFIRERERERERERESmNCkYiIiIiIiIiIiJTGORSJiIiIiIiIiEjtsddc4eG5JqIiLS0tHRMnrkDDhkNRo0Yg/PxGYsuW46oOi4qg1NQ0NG4yAjXd+6o6FFJjIevDENBuKhyr98HAH3/Ptc6rVwnwqD0IrdpMKuToSJ2lpaVj4uS1aNhkLGq4D4LfdxOxZdupHPVevUqAh+cQtAqYpoIoSZ3NmLUR9X3HwbX2MNRrNAY//7IJaekyAMDCRbvQos10VHMZiJ9/2aTiSEndhKw/goD20+Do3A8Df1ykUHbv3hP06DUP7rV/RJ16wzBpyhqkpEhVFCnRl1ehQgVIJJIcj0GDBgEAUlNTMWjQIBQvXhxGRkZo27Ytnj9/rrCNhw8fwt/fHwYGBrC0tMTo0aMhk8k+OhYmFD+jxMREGBkZoXfv3kq3OX78OFxcXL5cUHlISkrCsGHDULlyZTg5OcHZ2Rldu3ZFdHT0Z9vH1KlTMWzYsM+2PWWFhYWhXr16qFSpEmrWrIlGjRrh5MmTADJffBERER+9zYULFyI2NlZcVtWx0ceTyeQoUcIUa9aMx5UrQZgz5wf88ksITp2KVHVoVMT8/scWlCploeowSM1ZljDFwB9aoEP7+nnWmT4zGPb25QoxKioKZLIMlChhgjUrR+DKhcWY83Mv/DJvE06dvqFQb/rPG3h90Sfp3Kk+9u+aiivnFmLnlkm4HfUYK1cdAgCUL1cCo0YEoKFPddUGSWrJ0tIUA/u3QIf23jnKRo5ejooVrXH6xELs3jkdt28/wp9Ld6sgSqLCcfHiRTx79kx8HD58GADQvn17AMDw4cOxe/dubN68Gf/88w+ePn2KgIAAsb1cLoe/vz/S0tJw5swZrF27FmvWrMHkyZM/OhYmFD+j0NBQuLm5Ydu2bUhKSirUfX9MNlkQBDRv3hwpKSm4du0arl27hvDwcLRs2RL379/PUT8jIwMZGRmfM9wvJiwsDN26dcMvv/yC+/fv49KlS1i2bFmOjPzHyp5QJPVhYKCHoUPbo1w5K0gkEri4VEGtWg64fDlK1aFREXL9ejROnbyKvn2+U3UopOaaNKkJX183mJkZ5VoeduQKEhLeoVVLr0KOjNSdgYEuhg5ujXLlLDM/D50roZaHLS5fuSvWCTsannl9tfBUYaSkrirZlISBgW7mgiBAQ0OCBw9fAADatPJE/XqOMDLUU2GEpK6aNHaDr68rzExzfjY+evwSLVt4QkdHC+bmxmjYwAV37j5WQZT0tdBQw4dUKsXbt28VHlJp7j1tS5QoAWtra/GxZ88eVKpUCfXr10dCQgKCgoLw22+/oWHDhnBzc8Pq1atx5swZnDt3DgBw6NAh3Lx5EyEhIXBxcUGzZs0wY8YMLFmyBGlpaR99rukzCQoKwpgxY+Dt7Y3Q0FBx/Zo1a9C6dWtxec+ePfDx8RGXZTIZunfvDkdHR7i5uYk96LL3Xrx+/ToqVKgAAIiJiYGpqSnGjBkDV1dXLF68GD4+Phg1apTYO++HH37INc4jR44gJiYGixcvhr6+PgBAQ0MDHTp0gK+vL4DMHnht27ZF06ZN4ejoiGfPnuHgwYOoW7cu3Nzc4OHhgWPHjgEA7t69izp16sDZ2RlOTk6YOHGiuK9nz56hRYsWqFatGho2bIg3b94AAK5du4a6devC1dUV1apVw8yZM8U2U6dORYcOHdCiRQtUrVoV3333Ha5fv46mTZuiatWq+P777/NMcE6bNg2TJk2Cl9eHL1pVqlRBu3btxOVt27bB09MTFStWVNjvb7/9Bnd3d7i4uMDd3R1nz54FAEyfPh1Pnz5Fx44d4eLiIj4/hX1s9HlIpWmIjLwPW1v2vqDPQyaTY9LklZg8uSe0tTk1MX05iYnJmPPL35g2pYeqQ6EiQCpNR+S1GNhWLQPg/9fX3E2YNqWbiiMjdbZ85QHU8BgKz/qjcTvqMbp2bqDqkKiIC+zlhx07zyA1NQ0vXybg8JEraODjouqwiD7K7NmzYWJiovCYPXt2ge3S0tIQEhKCwMBASCQSXL58Genp6WJeBwDs7OxQrlw5Mb9x9uxZODk5wcrKSqzTtGlTvH37Fjdu3Mixj/wwofiZ3Lx5E48ePULTpk3Ru3dvBAUFKd32xo0b6NGjB65fv44xY8agU6dOEAShwHYJCQlwcHDAlStXxOG39+/fx7Fjx3D9+nUcPHhQvGiyunLlCmrUqAFtbe18t3/27FmsW7cON2/ehFQqxdSpU7Fv3z5cvnwZGzZsQOfOnSGVSrF48WJ89913uHr1Kq5du4YRI0aI2zh//jzWrFmDmzdvwtLSEn/99ReAzKHHR44cwZUrV3D58mVs3bpVzJgDwKVLl7Bu3TpERUUhMTERffr0wZYtW3Dz5k3cunUL+/fvzzXmy5cvw9Mz/1/V4+PjcfbsWVy8eBHz5s3DkydPAADdunXDxYsXERERgUWLFqFXr14AgMmTJ6NUqVIIDQ1FRESEmOQt7GP7mF8tKHeCIGDChBUoX94aTZq4qzocKiKCgvbA3r483N3tVR0KFXHz5m9Cm9Z1UaGCtapDITUnCAImTF6D8uUs0aSxKwBg3q9b0KaVFyqUtyqgNVHe+vXxQ/iF37Fv5xR0au+NEsWNVR0SFXHe9Zxw5cpduLoPRN36w1HS2hxtA+qqOiyijzJu3DgkJCQoPMaNG1dgux07diA+Ph49e/YEAMTGxkJHRwempqYK9aysrMQRl7GxsQrJxPfl78s+BhOKn0lQUBC6d+8OTU1NNG/eHNHR0bh165ZSbStUqIBGjRoBADp06IDY2Fg8evSowHba2tro2rWrwrqOHTtCS0sL+vr6cHFxyXUIc3YnT56Ei4sLKleurDBuvnnz5uKFdeDAAdy7dw/e3t5wcXFBu3btoKGhgYcPH8Lb2xsrVqzAhAkTcOjQIYWL18/PD8WLFwcAeHp6ivGkpKSgT58+cHJyQu3atfHgwQOFuQ2bNGkCMzMzSCQSuLq6wsfHB8WKFYOWlhZq1KiBu3c/DM/5WJ07dwYAWFhYwMbGRpw3Mjw8HPXr14ejoyN++OEHREVFISUlJc/tFPaxfeqvFpRJEARMnboK0dHP8OefI6Chwbc/+u8ePIjFxtAj+Gl0Z1WHQkXcpUtRuHLlLvr28Vd1KKTmBEHA1BkhiI5+jj8XDYKGhgYuXb6DK+H30Ld3M1WHR0VEJZuSsLMtg7ET16o6FCrCEhLeoVfv+Wjf3hsRl5fhwtlF0NfXxegxK1QdGtFH0dXVhbGxscJDV1e3wHZBQUFo1qwZSpUqVQhR5sSxWZ9Beno6goODoa2tjQ0bNgAAkpOTERQUhPnz50NLSwtyuVysn5qamu/23t+lp6B2BgYGOZIienof5iXR1NTMdW7FGjVqYPHixUhPT4e2tjbq1auHiIgITJ06FfHx8WI9I6MPc1QIgoDGjRuLx5dVlSpV4OXlhcOHD2Px4sVYuHAh9u3bl28848ePh4WFBcLDw6GlpYWAgACF48veLrftxMfHi0PHK1asiO3bt8PNzQ1nz55FjRo1csSZ3zlKS0tDQEAAjh07Bnd3d7x9+xYmJiaQSqXisHBltvO5ji0348aNU+j9CeD/bzLX8zxWyiQIAqZNW43IyPtYs2Y8ihUzUHVIVERcvhyFV6/eoqnfSACZw5/fvUtFrdr9sfyv0XB2rqziCKmoOHvuJh49fol69YcBANLSZJBK01DL80fs3jkTlpamKo2P1IMgCJg2Yz0iI6OxJmik+Hl49twtPHr8CvUajAKQeUdoqTQdteoMw+4dU2FZwlSFUZO6ksnk4hyKRF/Cw0cvIE1NQ/euvpBIJNDR0UKnDj7o23+BqkMjFfpWuo08ePAAYWFh2LZtm7jO2toaaWlpiI+PV+jo9fz5c1hbW4t1Lly4oLCt9/eceF9HWd/Kuf6idu3aBRsbGzx58gQxMTGIiYnBuXPnEBwcjPT0dFSuXBmRkZFISUmBTCbLkZSLiYkR5yPcsmULrKysUKZMGdjY2ODBgwd4+fIlACA4OPizxOvr64uyZcti6NChCj3w3r17l2ebpk2bIiwsDJGRH+6M+/4ivHv3LqysrNC9e3fMnTtXYXhvXuLi4lCmTBloaWkhKipKvDPRxzA1NUVERAQiIiKwfft2AMCkSZMwc+ZMhRju37+PLVu25Lut1NRUpKWloVy5zHn1Fi1apFBubGyMhIQEpeL6HMeWm0/91YKA6dPX4MqVO1i1ahxMTHK/0QHRp2jWrDYOH/oVO3fMws4dszBzZl8YGuph545ZsLevoOrwSA3JZHJIpWmQyTKQkSFAKk1DWpoMvXr64eD+Odi5fTp2bp+OoYPboGIFa+zcPh3FOaSQlDR95gZcCb+HVStHwMTEUFzfq0cTHNw7Ezu3TsbOrZMx9MdWmdfX1skobs7riwr2LjkVW7efwdu3yRAEAVF3nmDp8n2o61UNAJCeLodUmg55hoAMeQak0nSkp8sL2CpRpszPxnTI5BnIEARIpelIS5PBpmJJGBjoYcPfRyGTyZH0LgWbtvzDO9XTN2H16tWwtLSEv/+H0Stubm7Q1tbGkSNHxHVRUVF4+PChODWcp6cnrl27hhcvPvzgc/jwYRgbG6NatWofFQN7KH4GQUFB6NKli8I6e3t7lC5dGrt370ZAQACaN28OR0dHlCxZEnXq1MH58+fFug4ODlizZg2GDBkCHR0d/P3335BIJChVqhR++ukneHh4wMrKCs2afZ5hKBKJBPv378fEiRPh6OgIQ0NDFCtWDDY2NnmO069cuTI2bNiA/v37Izk5GWlpaahRowY2bNiALVu2ICQkBDo6OsjIyMCyZcsKjGHixIno1q0b1q5di0qVKqFhw4af5diaNGmC1atXY9SoUYiNjYW+vj4sLS0xbdq0fNsZGxtj5syZ8PDwgIWFBTp16qRQPmTIEPTt2xcGBgZYs2ZNvtv6UsdGn+bJk5fYsOEwdHS00bDhEHF9ixZ1MX16bxVGRkWBvr4u9PU/JPbNzZ5DIpHA2rq4CqMidbZ02S4sXrJTXK7u0g8e7rYIXjcORkYfeswbmxhAS1sT1tbmqgiT1NCTp6+xYeMx6OhooaHvGHF9ixa1MX1KN8Xry9gQWlq8vkh5EkiwZ98FzP11K9LSZDA3L4YmjWtgyMAWAIBJU4OxfdeHH/xD/j6ONi1rY87PPVUUMamTpct2Y/Gfu8Tl6jX6Z342rh2DpX8OwfzfNmPB79ugqaGBGq5V8Mts/o9PRVtGRgZWr16NHj16QEvrQ1rPxMQEvXv3xogRI2Bubg5jY2MMHjwYnp6eqF27NoDMnEm1atXQrVs3zJ07F7GxsZg4cSIGDRr00R2WJIIyd/8goq/YZVUHQEWWGyBcUnUQVFRJagIZOW8cRvRZaHgCspOqjoKKKq16QNoxVUdBRZVOA0B+WtVRUFGlWUfVEXxxqyS2qg7howUKUR9V/9ChQ2jatCmioqJQtWpVhbLU1FSMHDkSf//9N6RSKZo2bYo///xTYTjzgwcPMGDAABw/fhyGhobo0aMH5syZo5CcVAYTikRqjwlF+lKYUKQviAlF+pKYUKQviQlF+pKYUKQviQnFr9LHJhS/FpxDkYiIiIiIiIiIiJTGhCIREREREREREREpjTdlISIiIiIiIiIitcdec4WH55qIiIiIiIiIiIiUxoQiERERERERERERKY1DnomIiIiIiIiISO2x11zh4bkmIiIiIiIiIiIipTGhSEREREREREREREpjQpGIiIiIiIiIiIiUxjkUiYiIiIiIiIhI7UlUHcA3RCIIgqDqIIiIiIiIiIiIiP6LYImtqkP4aN2EKFWH8EnYQ5FI3cnPqDoCKqo0vQBpmKqjoKJK1xfCwzmqjoKKKEm5sRDujFV1GFRESarOgbC7harDoCJK0mI3hH+nqjoMKqIkNlNVHQIVIUwoEhERERERERGR2uONQgoPzzUREREREREREREpjQlFIiIiIiIiIiIiUhoTikRERERERERERKQ0zqFIRERERERERERqj73mCg/PNRERERERERERESmNCUUiIiIiIiIiIiJSGoc8ExERERERERGR2mOvucLDc01ERERERERERERKYw9FIipyQtaHYduO07hz5zG86znhz8VDAABPn76Gf4sJCnWlaenw9q6OZUuGqiJUUkMzZm9C2NGrSExKhaGhLvwau2L0iNbQ0c78SN289TRWrgnD8+fxMDc3wvgx7eDbwFnFUdPXKmTHTWw/dA93YuLg7V4GS6Y1ylHnVVwK/HtvQ8kSRtjxVytx/enLT/DrykuIefIWJUsYYuwPHqjnXqYww6evWMie+9h+5CHuxLyFt5sVlkysLZbde/gWM/+KxM378dDR1kCDWiUxvo8T9PUy38e6jTuJiNtvoK0lEdvsX9YYVsX1C/046OuUJsvAjO0vcOZOMuKS5bAy1kKfBuZo62ECALgXK8XMHS9w84kUOloSNKhmhPGtSkBfJ7M/S1KqHFO2vsDxm++gpy1BlzqmGNi4uCoPib4iIbvuYHtYNO5Ex8PbvSSWTPZWKN984D6CttzC81fJMDPRw4QfXNHIswwuXX+BfpP+UaibIpWhS4uqmDjArTAPgeibwIQiUTaJiYkoWbIkOnbsiKCgoE/ezvHjx5Gamgo/Pz8AwNOnT9GxY0ecPHnyc4VKebC0NMXA/i1w5twNxMbGietLlSqO8MvLxOW0NBnq+QyHfzMPVYRJaqpzR2+MHNoKBga6eBOXhKGjVmLl6sMY2K8ZQrecwprgo1gwNxD2dmXw+k0iUlLSVB0yfcUsixtgQBdnnLnyFM9fJedaZ8aic7CvVBzxb6XiukfPEjF46lH8OsEH9T3K4J8LjzFk+jHsWt4aZUsWK6zw6Stmaa6HAR1scebqSzx/laJQNmr+JdSwM8fyqV5ISk7HD9PP4s/QKIzs4fChTk8H9GhVubDDJjUhkwMlimlhdf8yKFtcG1cfpqLfyiewMtFCXVtDjNoQixrl9bC8TxkkpcrxQ9BT/Bn2GiOblwAAzNj+EgnJchybWBGvk+QI/OsxSplpo3VNYxUfGX0NLIvrY0AnB5yJiM3x2Ri67x7W7ojCb2O9YF/JDK/jU5GSKgcA1HS0xJXt7cW6r+JS4NNtJ5rXL1eo8RN9KzjkmSib0NBQuLm5Ydu2bUhKSvrk7Rw/fhwHDhwQl0uVKsVkYiFp0rgmfH1dYWaa/5fqsCNXIGQIaNK4ZiFFRkVBJRtrGBjoZi4IAjQkEjx48BJyeQb+WLIHE8a0RzX7spBIJLAoboyyZSxUGzB91ZrUqwDfOuVhZqKXa/mRMw+QkChFS99KCutPXnyMalWKo0HtstDQkKBB7bJwsrXAjsP3CiNsUgNNvErD17MUzIx1cpQ9in2HFg3KQkdbA+YmumjoURJ3YhJUECWpKwNdDQzxs0A5Cx1IJBK4lNdHrUoGuBKdmbx+9DodLdyMoaMlgbmRFho6GOLOs8wf2FLSMrAvIhFD/SxgrK+JiiV00LWOKbZc4DVImZrUKQtfrzIwM9ZVWC+XZ2BRyDWM7++KapXNM//XMtNH2ZJGuW5nR1g0ypcqBtdqJQojbPpKaKjhQ12pc+xEX0RQUBDGjBkDb29vhIaGAgDWrFmD1q1bi3X27NkDHx8fAMDdu3dRp04dODs7w8nJCRMnTkRERASWLVuG9evXw8XFBdOnT0dMTAxMTU3FbUgkEsyaNQseHh6oWLEiVq9eXYhHSQCwddsJtPiuNnR1tVUdCqmZ5UGHUKPWcHj6jMXtO0/QtXN9RMc8x6vXibh56xEa+k2Ct+8ETJy6HklJKQVvkCgXie/SMGfZRUwd6pmjLCNDgCDkXHfn3zeFFB2ps8A2VbDz6EOkSuV4GZeKw+eeooFHSYU6S0OjUOv7PWgz9Ch2HH2ookhJXUjTMxD5KBVVS2YmgALrm2HnpbdITc/Ay7cyHL6ehAbVDAEA0S/TkC4XYF/qQ7LIrrQu7jyT5rptoveiHyfiVVwqbt6PQ8Meu1C/6w5M+v0Ckt6l51p/66F/0bapTSFHSfTt4JBnoixu3ryJR48eoWnTppDJZJgzZw569+6db5vFixfju+++w7hx4wAAb968gbm5OX744QfEx8dj4cKFAICYmJgcbXV1dXHhwgXcvn0b7u7u6NatG7S0cn9ZSqVSSKXSHO11+Sr+JE+evMKZszcxemQHVYdCaqhf7ybo17sJ7v8bi117L6JEcWM8fvoaAHDm3G1s+XsMAGDET6swa95WzJrWVZXhkpqat+Ii2jSpjAplTHDlxguFMi+30pi7/BLCTj+AT+2yOH7uEcJvvICHs7WKoiV14u1mhfG/X4Zbh92QZwjwrV0SbRuXF8tH9KiGymWNoaeriXORLzH8lwsw1NdCY89SKoyavlaCIGDi5ucob6GNJk6ZPcW87QwxPjQWbhPuQZ4B+DoaivMrJkszYKAjgZbmhzk6jfU08U6aoZL4SX0kJGb2cj0bHoutfzQFAIyYcxqzl1/Bz8NrKdS9dP0FHse+Q+tGFQs9TqJvBXsoEmURFBSE7t27Q1NTE82bN0d0dDRu3bqVbxtvb2+sWLECEyZMwKFDhxR6IRakS5cuAAA7OztoaWkhNjY2z7qzZ8+GiYmJwmP27NlK74sUbdt+Cvb25WFnxzlV6NNVsrGGnW1pjJ0UDMP/D4Pu37sJzM2MYG5mhP69m+DY8WsqjpLU0aVrsQi/8QJ9OjrlWm5T1gQLJtbHkuAI1Gn/N7YcuIvmDSrCNNvwMKLsEpLS0GvSKbRvWgHhW1ri/N/+0NfTwk+/XhLr1LArjmKG2tDW0kA9Vyt09KuI/ScfqzBq+loJgoBp214g+kUalvQsBQ0NCRKS5ei1/DHa1zZB+KwqOD+9EvR1NPDThmcAModLp6QLkMk/dLNOTJXDUJdfTSl/BvqZPSn6dagGMxNdmJnool+Hajh2/kmOulsO/osGtUrD3DT3KUWo6FL18OVvacgz+zYR/V96ejqCg4Ohra2NDRs2AACSk5MRFBQEFxcXyOVysW5qaqr4d9u2beHl5YXDhw9j8eLFWLhwIfbt26fUPvX0PnzAaWpqQiaT5Vl33LhxGDFihMI6XV1dAJeV2hd9kJGRgW3bT6FfX39Vh0JFgCxdjgcPX6BiBSsOn6fP5mz4Mzx6lgjvTplTb6SlyyGVylG77QbsWt4alsUN0MirPBp5fehV1mHwbrRuzJtoUP4ePnsHaZoc3VpUgkQigY62Djr6VUC/qWfybKMhybOIvmGCIGD6theIfJiK1f3LoJi+JgDg4et0SNMz0K2uaeY1pqWJjrVN0G9lZtKnYgkdaGlIcPuZFI5lMv8XvvVUiqrW/EGE8lexTDHo6mgWWC/pXToOnnyIPybWLYSoiL5d6pwMJfqsdu3aBRsbGzx58gQxMTGIiYnBuXPnEBwcjPLlyyMyMhIpKSmQyWRiwhHInEPRysoK3bt3x9y5c3Hu3DkAgLGxMRISPt/k0rq6ujA2NlZ4ZCYUKTuZTA6pNB0yuRwZggCpNB1paR+StafP3EBcfCK+86+Vz1aIcnqXnIqtO87i7dtkCIKAqDtPsHTFAdT1qgY9PR209HfHitWHkfA2GW/fJmPF6sNo1KC6qsOmr5hMngFpmgxyeQYyMgRI02RIS5ejV1sHHFjdFjuWtcKOZa0wpIcrKpY1wY5lrVD8/70trkW9gkyegaTkdCwJjkDCWykTiiTKvLbkkMuFzM/CNDnS0jNgU6YYDPS0sGFftHj9bD4YA3sbUwDA26Q0/HMpFimpMsjlAs5efYGNB2LQxKu0ag+Ivjoztr/AlZgUBPUrAxODD0keG0sdGOhoYMOZBMjkApJSM7D5fALsS2e+d+nraKC5ixH+OPAKiSlyxLxMw/pT8WhXy0RVh0JfGYX3rwz8//1LDj1dLbRsWAErNt9CQmIa3ialYcXmW2jkWUah/Z5/HsDUWBd1XEvmsQci+hzYQ5Ho/4KCgsQhyO/Z29ujdOnSePnyJZo3bw5HR0eULFkSderUwfnz5wEAW7ZsQUhICHR0dJCRkYFly5YBANq0aYPg4GC4uLggICAA3bt3L/Rj+lYtXbYbi//cKS5Xr9EPHu62CF47FgCwZetJNG1SE8WKGagqRFJTEkiwZ98lzP11O9LS0mFuXgxNfF0wZOB3AIDxP7XD9FmhaNRsMnS0tdDQxwljR7dVcdT0NVu6/iqWBEeIy87+wXCvbo3gX5vByPDD3XmNjXSgpakB6xKG4roFqy7j6u2XkADwciuFtfObwUCfvWQp09LQKCz5+7a47Nx2F9wdLRA8ux6WTvLE/DXXsTD4JjQ0AFf74pgz3A0AIJMLWPL3bYx4lAgAKG1lgLG9HeFXlwlF+uDJm3RsOJMAHS0JGv38r7i+hasxprWzwtLA0pi/9yUW7n+VeY1V0MecTlZivUltLDF5ywvUn/kv9LQ00KWOKVrXNFbFodBXaOnfN7Bk/XVx2bnVJrg7WSJ4biOM6++K6UsuwbfXLuhoa6Bh7TIY07eGQvutB++jTWMbaLB7NdEXJRGE7PcIJCK1Is97iBLRf6LpBUjDVB0FFVW6vhAezlF1FFREScqNhXBnrKrDoCJKUnUOhN0tVB0GFVGSFrsh/DtV1WFQESWxmarqEL647RJbVYfw0doIUaoO4ZNwyDMREREREREREREpjQlFIiIiIiIiIiIiUhoTikRERERERERERKQ03pSFiIiIiIiIiIjUHnvNFR6eayIiIiIiIiIiIlIaE4pERERERERERESkNA55JiIiIiIiIiIitcdec4WH55qIiIiIiIiIiIiUxoQiERERERERERERKY0JRSIiIiIiIiIiIlIa51AkIiIiIiIiIiK1x15zhUciCIKg6iCIiIiIiIiIiIj+i70SW1WH8NH8hShVh/BJ2EORSN0JF1QdARVVEg9AflrVUVBRpVkHSNio6iioqDLpBDz7Q9VRUFFVcgiE6GmqjoKKKEnFKcDL5aoOg4qqEv1UHQEVIUwoEhERERERERGR2uOQ58LDc01ERERERERERERKY0KRiIiIiIiIiIiIlMaEIhERERERERERESmNcygSEREREREREZHak6g6gG8IeygSERERERERERGR0phQJCIiIiIiIiIiIqVxyDMREREREREREak99porPDzXREREREREREREpDQmFImIiIiIiIiIiEhpKk0oVqhQAba2tnBxcYG9vT06d+6Md+/eFdr+16xZg9atW390Ox8fH+jo6ODFixfiun///RcaGhri9mJiYrBs2bJ8t3Pv3j20b98eFStWRI0aNeDs7IzRo0dDKpV+dEzqoGbNmjh+/HiuZT179oREIkF4eLi4LjExEUZGRnBxcSmcAD/S8ePHoa+vDxcXF1SvXh1169ZFZGTkR2+nZ8+eWLhw4ecP8BsWEnIYAW0nw9GpFwYOWqBQlpSUgpEj/4SrW1941RmEJX/uUE2QpJbS0tIxcfIaNGz8E2rUHAA///HYsvWkWL7wj21o0WoSqjn1wc+zN6gwUlJHNer/rPBw8JyGFp3/FMsfPn6DPkOD4d5oNur5z8eKdadUGC2pg5BtkQjotwmOjZdi4IR94vrXcckYOfMQvNutgWvz5WjdJxRHTkcrtBUEAX+tv4yGHdfBxe8vNO0agqs3Ywv7EOgrFrIrCm0HH4BTi40YNO1EjvLN++/Br/du1GgViobdd+LI2ccAgOjHb/Hj9BOo+/02uLfdjO9HHMKVGy8LO3z6ioVsDUdA7xA4NliIgeN2KJQlvZNi5NS9cG2yCF4tlmLJmrMK5feiX6PH0M1w91uMOi2XYtIvh5CSml6I0RN9O1TeQzE0NBQRERG4ceMGEhISsGbNmkLZr0wm+0/tq1evjuDgYHF51apVcHNzE5cLSig+e/YMdevWhZ+fH6KjoxEeHo4zZ87A2NgYiYmJnz1edeDm5oZVq1aJy6GhobC3t/+kbcnl8s8VVr5sbW0RERGByMhIBAQEoFevXh/V/lt4XlXB0tIUAwe0RIf2PjnKZsxYh/iEJBw/thDrQyZi8+bj2LGDX8pJOTJZBkqUMMGaoFG4cvFPzJnVG7/MC8Wp09cBAOXLWWHUyPZo2MBFtYGSWgr/Z4LCw6ZiCfg3dgQAyOUZGDByAxxsS+LMwZ+w9s+eWL/5AnYf+PgfsujbYWlhiIHdaqKDv4PC+uSUdFSrXAKb/myHS3v6YkigB0bOOIR7MW/EOgtWnsPxsw+w+teWCN/fD6vmt0RJq2KFfQj0FbM0N8CA7x3Q3q9SjrLQffewettt/DauDq7s6IBNvzdB1QqmAIDEd2moV7MUdi1tjnOb2qJNYxv0m3QccQmphXwE9LWytDDCwB610KGFU46yGQuOIv5tKo5v7Yv1Szpi865r2LH/hlg+ctpeVCxrhtO7B2D32h64fe8l/lxzrjDDJxXTUMOHuvpqYk9LS0NycjLMzMzEdfPnz4eHhwdcXV3h5+eHBw8eIDk5GcWLF0ds7IdfSKdOnYrhw4cDAO7evQt/f3+4u7ujevXqWLx4sVhPIpFgypQpcHd3x7hx4xT2/91332HDhg+9SQ4dOoRatWrlGW+PHj2wdu1aAEBGRgZCQ0PRuXNnsfyHH35AVFQUXFxc0LJlyxztlyxZAh8fH/Tu3VtcZ2hoiEmTJsHCwgJAZk/IIUOGwNPTE02aNMnznABAeno6xo4dCw8PD7i4uKBDhw6Ii4sDkNkDrn///mjUqBGqVq2KgIAApKWlAQBKly6Np0+fAgA6dOgALy8vAIBUKkXx4sUhlUohl8sxevRoODo6wtHREYMHDxbbv3jxAgEBAXBycoKjoyP++usv8XjOnDkDFxcXODo6olevXgUmzwICArBnzx6xh+bq1asRGBioUCc4OBjVq1dH9erV4e/vjydPngDI7G3aoEEDtG3bFk5OTrhw4QJ27twJe3t7ODs7Y8yYMbCwsEBMTAwAYNSoUXB3d4eLiwu8vb0RFRUl7kMikWDWrFnw8PBAxYoVsXr16nzjfs/Pzw9RUVGQyWRo2rQpatasCQcHB4Wet8ePH4eDgwN69+4NFxcXbN++XWEbJ0+eRLVq1XDp0iWl9km5a9LEHb6+NWFmpvjFJyVFir37zmHY0HYwNjZExYol0bVrY2zZclw1gZLaMTDQxdDBbVCunCUkEglcnCuhlocdLl+5CwBo07oO6ntXh5GRvoojJXUXeeMx7ke/RJvvXAAA0Q9eIfrhawzq6wNtLU3YlLdAu5Y1sGnHZdUGSl+1Jt6V4FvPBmYmegrry5YyQe9ONWBtaQQNDQkaelVExbKmiPh/D8T4t6lYvekqZo1piPJlTCGRSFDa2hiWxQ1VcRj0lWpStyx8vcrCzFhXYb1cnoFFwZEY/4MbqlU2h0QigYWZPsqWNAIAVLe1QMfmlWFuqgdNTQ10aFYZmhoSREXHq+Ao6GvUpH4V+HpXgZmJ4v9TKanp2HskCsP61YFxMT1ULGeOru1qYMve62KdR08T0LKpPXS0NWFuZoCGdSvhzr+vCvsQiL4JKk8oduzYES4uLrC2toaGhgY6dOgAANiwYQOioqJw9uxZXLlyBV26dMHAgQNhYGCAtm3bIiQkBEDmcIy1a9ciMDAQcrkc33//PX799VdcvHgR586dw/Lly3Hx4kVxf5qamrh48SLmzZunEMfQoUMVko9LlizBjz/+mGfcZcuWhbW1Nc6fP49Dhw6hZs2aCsnQZcuWib3Xdu3alaP9lStX8k1Yvnfnzh2cOHECR48ezfOcAMC8efNgaGiICxcuICIiAk5OTpg4caK4nYiICOzevRu3bt3C8+fPsXXrVgBAo0aNEBYWhoyMDFy9ehUJCQl4+/YtTp06BTc3N+jq6orn8PLly4iIiMD9+/exYEHmMNLBgwfD1tYW165dw9GjRzFz5kycO3cOaWlp6NixI+bPn4/r16/j+++/x9WrV/M9VgMDAzRu3Bg7duzA7du3IQiCQg/F69evY/To0di/fz8iIyPh5eWFPn36iOXnz5/HrFmzcO3aNVSqVAmBgYHYvn07rl69Cjs7O7x+/VqsO2bMGFy8eBEREREYOHAghg4dqhCLrq4uLly4gP3792PIkCFK9STcuHEj3NzcoKmpiQ0bNuDSpUu4fv06TExMsGjRIrHerVu30L17d0RERKB9+/bi+tDQUAwePBh79+5FzZo1c2xfKpXi7du3Co+iOjz+S4mOfob0dBns7cuL6+ztyiHqziMVRkXqTCpNR+S1aNhWLavqUKiI2bLrCrw9K8OqhDEAIEMQMguED3UyBAFR956rIDoqal7HJeP+gzjY2mT+qH31Zix0dDSx98gd1G27Gg07rsO8v84gLb1wRoCQeot+nIhXcam4ee8NGnbfifpdt2PSwvNIepf7sNOo6Hi8S0lHpXImhRwpqZvoh2+Qni6HfWVLcZ19lRKIuvdhyHzg9zWx48BNpErT8fL1Oxw+cQ8NvGxUES5Rkael6gBCQ0Ph4uICmUyG/v37Y8yYMfj111+xY8cOXLx4URxGnHUIa69evdCnTx+MGjUKx48fR/HixeHk5ISbN2/ixo0b6NSpk1g3MTERN2/ehLu7OwDk6PH2XuPGjTFs2DCEh4fD3NwcFy5cwKZNm/KNPTAwEEFBQYiLi0O/fv3E3nKfYsGCBVi7di3evHmD5cuXw8/PDwDQtWtXaGtrA0C+52THjh1ISEgQE4VpaWmoUKGCWN6mTRsYGBgAADw8PHD//n0AgK+vL8LCwuDg4ABnZ2dYWVnh+PHjOHv2LBo1agQACAsLQ8+ePaGrm/nrY9++fbFkyRKMGTMGYWFhuHw5s3eEpaUlAgICEBYWBgMDA2hpacHX1xcA0KRJE9jYFPxGHhgYiMmTJ8PZ2TnH8OFjx47Bz88PpUuXBgAMHDgQ06dPF8+Dl5cXbG1tAQDnzp1D9erVYWdnByCzR+kPP/wgbuvw4cNYtGgREhMTkZGRgTdv3ijsq0uXLgAAOzs7aGlpITY2FmXKlMkR7/teqABQtWpVrF27FoIgYMGCBdi7dy9kMhkSEhLEnp8AYGNjg/r16ytsJzg4GJqamjh27JhCYjqr2bNnY9q0aQrrpkyZgqlTmudan3JKTpbCwEAXWlqa4rpixoZ4945DbOjjCYKACZNWo3x5KzRp7KrqcKgISU5Jw95D1/HL1ABxXcXyFihd0hS//3UUQ/s3xINHb7B1VziS3vGHJfpv0tLlGD79EJo1qAwnu8wv6fFvpUh6l4aYxwk4GNwFCYlS9B+3Fwb62hjU3V3FEdPXLiEx833pbHgsti5qCgAYMfs0Zv91GT+PqK1Q921SGkbOPo1+nRxQwpy9+yl/ySnpMNDXhpbWh35RxYz08C4lTVz2rl0R42cdgGuTRZDLBfjWq4y23zmqIlxSEZX3mvuGfDXnWktLC23btsWBAwcAZH5RGzduHCIiIhAREYFr167h2rVrAABPT09kZGTgwoULWLNmjZh4EgQB5ubmYpuIiAhER0ejR48e4n6MjIzyjGHIkCFYtGgRli1bhsDAQOjq6iIsLAwuLi5wcXHBzz//rFC/devWOHjwIK5evSom35RVo0YNXLhwQVwePnw4IiIiYGNjg9TUD8mNrPHmd04EQcCiRYvEsps3b2Lfvg+Tb+vpfRjqoqmpKfa48/X1xZEjR3D48GH4+vqKCcawsLA8j0kikeR5XMqU3bx5UzyngwYNUqhTu3ZtPH36FBs3blRIDCuzr/ye26wePnyIH3/8ESEhIbh+/To2btyocM6BvM9Xdu97oUZERGDTpk2oUKECNmzYgKNHj+Kff/7BtWvXMGrUqDyf0/eqV6+ON2/eiM9nbsaNG4eEhASFR/ah+5Q/AwNdpKSkQSb7kIxPSkyGoaFePq2IchIEAVOnByM6JhZ/LvoRGhpfzccpFQEHjtyAvp42fOpUEddpa2niz3nf49adWNTz/xWjJm9FQIsaMDXhF3D6dGnpcgyZcgD6ulqYMaqBuN5QP/PH7CG9PGBooINSVsXQvW11HDsTo6JISZ0Y/P/66dfRAWYmejAz0UO/jg44dl6x80XiuzT0mXAMrg4lMLhrzrnyiLIz0NdGSmo6ZLIMcV1SkhSG+joAgIS3qeg1bDPat6iOiLChuLBvEPT1tTF6+r68NklE/8FX9Q3o6NGjYg+z1q1bY9myZWLPsfT0dIU7APfq1QuLFi3C3r17xbkLbW1tYWxsrDDn3b1793L0PstLt27dcPDgQaxevVrszebr6ysmjCZMmKBQX09PDwsWLMAff/yR48uksbExEhIS8tzXoEGDcOTIEYWb0GRkZORIbGWV3zlp3bo1FixYgOTkZABAcnIybty4kee23itVqhRMTEywbNky+Pr6okGDBtizZw9iYmLg6uoqnoN169YhLS0NMpkMK1euFOd09PX1xYoVKwAAL1++xLZt29C4cWPY2dlBJpPh2LFjADJ7Ob7vFVmtWjXxnC5ZsiRHTL///jvmz5+PYsUU579r0KABDhw4IM75uGzZMjRq1Aiampo5tlG7dm1ERkaKcyOGhISI8z4mJCRAW1sbJUuWhCAICkPdP4e4uDhYWFiIN9hR5kZDzs7O2L17NwIDA8Wkena6urowNjZWeLzvNUrKqVixJLS0NHH79kNx3a1bD1CVw1XpIwiCgGkzQhAZ+S9WrRiJYsUMVB0SFTGbd15Ba38Xhd7UAFClkiVWLeqO84fHYOf6AUhLk8G9RgXVBElqLy1djqFTDyA9PQOLpjeDjvaH6822soUKIyN1V7FMMejq5Pz/PKv3ycTK5U0wbYh7vp0SiN6rWM4883/5LEOcb919gaqVMt+zHj6Nh1QqQ/f2NaCjrQkTYz10alUd/5yNzmuTRPQfqHzIc8eOHaGvrw+ZTIby5cuLd0bu0qULXr9+jQYNMn8tlclkCAwMRI0aNQBkJv/KlSuHtm3bikNEtbS0sGfPHgwbNgwLFiyAXC6HhYWFws1W8mNgYICAgAA8ffoUZcsql2AICAjIdX316tXh4OAAR0dH2NjY5JhHsVSpUjh58iTGjx+PqVOnonjx4tDV1UX9+vVRr169XLeZ3zkZM2YMpFIpatWqJX4gjxkzBg4ODrluKytfX1/s2bNHHJJsbW2NGjVqiEnSfv364f79+2KC0cfHB8OGDQMA/PHHHxgwYACcnJwyh/9NmCDODRkaGoqBAwdCLpfD3d0dzs7OBcYCIM+ekY6Ojpg3b544HLxs2bJiMjM7S0tLrFy5Eq1bt4auri4aN24MIyMjmJqaokKFCujUqRMcHBxQvHhxtG7dWqm4lNW9e3fs3LkTtra2KFGiBOrVqyfePCc/9vb2OHjwIJo3b45Zs2ahbdu2nzWub4lMJodcLodMLkdGhgCpNA0SiQb09XXRvHkt/P7HFvz26yC8fv0WIesPY+iQdqoOmdTI9JkhuBJ+F2tX/wQTE8UbFKSny5CRIUAuz0CGXIBUmg4NDQm0tVX+cUtq4t8HrxAe+QizJ7XOUXb7bizKlTGHlpYGjp+6g627w7FmSY+cGyH6P5ksA3J5BmTyDGQIAqRSGSQaEkgkwLCpB5GSIsNfs/2hky35U7akMbzcymDJuouYOrw+3ialIWRbJPx8KqvoSOhrJJNnQC4XIJcLmf9vpckhkQB6ulpo2bACVmy++f+bsgArNt9EI8/M6YOS3qWjz4RjqFC6GGYOq8VkIuWg8N6V8eG9S19PG80b2uL3lafx21R/vI5LRsjWcAztUwcAYFPOHAb6OtiwLQIdWzkjNU2GTbuuwb6KZQF7JKJPIREEQSi42rdBLpfDzc0NixYtyjOpR+ojMTFR7OW4Y8cOjBs3Drdu3VJxVF+AcKHgOt+YRYu2YfESxTtoe7jbITh4ApKSUjB58iocOx4BPT1tdOnSGD8OaqOiSL9yEg9AflrVUXxVnjx5hYaNf4KOjha0svSObtHCE9OndsfY8UHYvkPxnLVpXQdzZvUu7FC/fpp1gISNqo7iqzP3j0OIvPEYIX/lnPN5wdIj2Lj1IqRpMthVscboIU3g5lxOBVGqAZNOwLM/VB2Fyi1afQGL115UWOfhXAqDe3mg27Ad0NXRhKbGh2RO/65u+KFr5o3hXsclY9L84zh75TGMDHXQsnFVDOtdC9pa+fc8+yaUHAIhelrB9Yq4RcGRWLL+usI6dydLBM/zRXKqDNMXX8SRs4+ho62JhrVLY0w/VxgZaGP74X8x7tdz0NfVVEgmThvijhYNKxb2YXx1JBWnAC+XqzoMlVoUdAaLV59VWOfhUgbBizsi6Z0Uk+cexrEz/0JPVwtd2tbAj708xXqXI59g/tITuBv9GpoaEtRwKoUJQxqgbGnTQj6Kr1SJfqqO4Is7pmGr6hA+WoOMKFWH8EmYUPy/Xbt2YciQIWjWrBmWLl2q6nDoM5g1axZCQ0Mhl8thbGyMxYsXi70sixQmFOlLYUKRviQmFOlLYkKRviQmFOkLYkKRvigmFL9K6ppQ5Bis/2vZsiVatmyp6jDoMxo/fjzGjx+v6jCIiIiIiIiIiIoUJhSJiIiIiIiIiEjtaUg4CLewfFV3eSYiIiIiIiIiIqKvGxOKREREREREREREpDQmFImIiIiIiIiIiEhpnEORiIiIiIiIiIjUnkSi6gi+HeyhSEREREREREREREpjQpGIiIiIiIiIiIiUxiHPRERERERERESk9jjiufCwhyIREREREREREREpTSIIgqDqIIiIiIiIiIiIiP6Lk1pVVR3CR6snu6PqED4JhzwTqTvhgqojoKJK4gHIz6g6CiqqNL2AuBBVR0FFlVlX4OlCVUdBRVWpYRAezFJ1FFREScqPB+I3qDoMKqpMO6s6AipCmFAkIiIiIiIiIiK1J5FwEG5h4RyKREREREREREREpDQmFImIiIiIiIiIiEhpHPJMRERERERERERqTyJRdQTfDvZQJCIiIiIiIiIiIqUxoUhERERERERERERKY0KRiIiIiIiIiIiIlMY5FImIiIiIiIiISO1xDsXCwx6KREREREREREREpDQmFImIiIiIiIiIiEhpHPJMREXe8+dvMG36Wly+dAeQALVrV8OUyT1gbm6s6tBIDYWsD8O2Hadx585jeNdzwp+LhyiUb97yD1auOoDnz9/A3KwYxo/rDN9GriqKltTN8xdvMW3+flyOeJT5flWzAqaMagZzM8N8y4hyE7L9GrYdiMKd6Nfw9iiHP2c2E8uGTDmIK9djkZyaDlNjPbRrbo+B3dwAAGlpcvT+aQ/uPXgDaZoclsUN0au9Mzq2qKaqQ6GvUMjOW9h+6D7uxMTBu2ZpLJnWUCzrNuoAIm69hLbmh/4r+1e3gVVxAwDA72vCEXbmIf59mIAurewwfoBHocdP6uX5i7eYNm8fLkc8/P9nYEVMGd0c5maGmDF/H8L+iUJiUioMDXXh17AaRg9uDB1tTVWHTSqgIRFUHcI3o8j0UKxQoQJsbW3h4uICe3t7dO7cGe/evcuzfp8+fXDs2LFcy0aNGoWpU6d+oUg/Tnx8PObMmZNvnZ49e0IikSA8PFxcl5iYCCMjI7i4uBS4jwoVKiAiIgIAkJqailatWqF9+/ZIS0vL9zxlNXXqVAwbNqzAeh9DIpEgPj7+s27zv2jQoAFCQkLE5ZkzZ0JPTw+pqaniOjs7Oxw5cuSjtx0TE4Nly5Z9ljgpp2nT1wIAjh5dgCNhv0EqTcfMmcEqjorUlaWlKQb2b4EO7b1zlIVuOo5Vaw5iwfwfEH5pGTZtnATbqmVUECWpq2nz9wMAju4YgiPbBkMqlWHmbwcLLCPKjWVxQwzs5oYO/jkTgYN61MTRv7viyt4+CFnYCnuO3MXOw3cAAJqaEkwcUhcnt/TAlb19sHh6U/y++gIuRT4t7EOgr5hlcQMM6Fwd7ZtVybV8VG83XNnVRXy8TyYCQLlSxTC6jxsaepYtrHBJzU2btw8AcHTnMBzZPhTSNBlm/noAANC5rTv2bxqEK8fGYWfID7h99zlWBp9WZbhE34Qik1AEgNDQUERERODGjRtISEjAmjVrcq0nl8uxcuVKNGjQoHAD/EgymUyphCIAuLm5YdWqVeJyaGgo7O3tP2p/iYmJaNasGaysrBAaGgodHR21OE9filwuV1hu0KABjh8/Li4fO3YMLi4uOHfuHADg2bNniImJQZ06dT56X0woflmPHr1EM79aMDTUg5GRPpo3r4U7dx+pOixSU00a14SvryvMTIsprJfLM/DHou2YMK4zqlUrD4lEAgsLE5Qta6miSEkdPXoSj2aNqsHQQAdGhrpo7uuAO/dfFFhGlJsm3jbwrVsRZiZ6OcpsbYpDRyez945EIoGGBHjwOB4AoKmpAVub4tD6f+8yiUQCCYAHT94WVuikBprULQ/fOuVgZpzz+ipImyaV4e1RBoYG2l8gMiqKHj2NQzNfh2yfgc8BAJUqloCBvk5mRUGAhoYEDx69UWG0RN+GIpVQfC8tLQ3JyckwMzMDAKxZswYNGjRA27Zt4eTkhAsXLsDHxwc7duwAkJkIatq0KapVqwZfX188fvxY3FZiYiI6duwIOzs71KtXD/3790fPnj3F8vnz58PDwwOurq7w8/PDgwcPAGT22Gvbti0aNmwIOzs7tGjRAq9fvwYAJCUlITAwEI6OjnB0dMS0adPE7fn4+GDIkCHw9PREkyZN8MMPPyAxMREuLi6oWbNmnsccEBCAPXv2QCqVAgBWr16NwMBAhTp79+6Fu7s7nJ2d4eLigvPnz4tlr1+/RsOGDVGrVi0sX74cGhoaYjzvz1PPnj3Rv39/NGrUCFWrVkVAQADS0tJyjSe385Kamgpra2s8evQhkTN+/HiMGTMmz+PKTXBwMKpXr47q1avD398fT548AQB4eXnhzJkzAICffvoJpUuXFtvY2Njg4cOHYvtatWrB1dUV3t7euHr1KoDcr5OssiYU09LSEB0djb59+4rrjh8/jtq1a0NPTw93796Fv78/3N3dUb16dSxevBgAkJKSgo4dO6JatWpwdnZGkyZNAAA//PADoqKi4OLigpYtW37U+aCC9erphwMHLyAxMRlv377D3j3n0MCnhqrDoiImOvoZXr1+i5s3H6Ch7yh4NxiBiZNXIykpRdWhkRrp9X1tHDh6C4lJqXibmIq9h2+gQd0qBZYRfYqpC07A2W8FfDoGIzlFhjZ+dgrl/cftg1OT5WjecyOKmxmgcb2KKoqU1NHSDZGo1fZvtBmwGzsO31d1OKTmen3viQNHbn74DDx0HQ3qVhXLl689hRo+s+DpNx+378aiawcOoyf60orUHIodO3aEvr4+YmJi4Obmhg4dOohl58+fR3h4OGxtbXO0GzJkCDw8PHDw4EE8efIELi4usLPL/Idq+vTp0NfXx61bt5CUlAQvLy+4uWXOL7NhwwZERUXh7Nmz0NTURHBwMAYOHIi9e/cCAE6ePInIyEhYW1tj4MCBGDduHJYvX44ZM2ZAKpUiMjISKSkpqFu3Luzs7NCxY0cAwJ07d3DixAloa2sjJiYGLi4u4pDkvBgYGKBx48bYsWMHnJ2dIQiCQg/FO3fuoFevXjhx4gTs7OyQnp6O5ORkhXPXt29fzJ49O9/9RERE4NixY9DV1YW3tze2bt2K77//XqFOfueld+/eWLp0KWbNmgWpVIrVq1eLPfyUcf36dYwePRqXL19G6dKl8fPPP6NPnz7Yv38/fH19ERYWBi8vLxw9ehRlypTBzZs3oaurCy0tLZQrVw6nT5/G33//jRMnTkBXVxcnT55E586dcePGDQD5Xye1atXC06dP8ejRI0RHR8PDwwM+Pj4IDAzE1KlTcezYMTRs2BByuRzff/89QkJCYGdnh+TkZNSuXRu1atXC48ePER8fj5s3bwIA3rzJ/OVs2bJlGDZsWL7Ps1QqFRPG7+nq6kJXR+nT981yda2KTZuPw93jBwCAi0tl9O/PxC19XvEJmdNsnDl7E1s2TwEAjBi5DLPm/I1ZMwPza0okcq1eBpt2XoF743kAABfHMujfo26BZUSfYupwb0weWg837r7E0dMxMCmmq1D+1+zmkMszcPlaLC5cfQo9nSL11YG+oBGBrqhc3hR6ulo4F/EMw2f+A0N9LTSuW17VoZGacq1eNvMz0PcXAICLU1n071FPLO/Xoy769aiL+9EvsevgNZQwN1JVqKRiElUH8A0pUj0U3w95fvXqFSpUqKDQ883LyyvXJBEAHDlyBH369AEAlC5dWqGH2JEjR9CrVy9IJBIUK1ZMTPoBwI4dOxAWFgY3Nze4uLhg7ty5Yi84APD394e1tTUAoF+/fggLCwMAhIWFoW/fvtDQ0IChoSG6d++Ow4cPi+26du0Kbe2P7/4fGBiIoKAgBAUFoVevXgplhw8fhp+fn5go1dbWhomJiUKsW7ZsUeg9mJs2bdrAwMAAmpqa8PDwwP37OX9tzO+8DBw4EGvXroVUKsXmzZvh4eGB8uWV/8fi2LFj8PPzE3sfDhw4EEePHoVcLhcTiq9evYKWlhY6dOiAsLAwhIWFoVGjRgCAnTt34urVq6hVqxZcXFwwePBgvHnzBikpmT2I8rtOdHR0UKdOHRw/fhzHjx+Hj48PKlWqhMePHyM1NRXHjx9HgwYNEBUVhRs3bqBTp05wcXGBl5cXEhMTcfPmTTg7O+PWrVsYOHAgQkNDP+p5nj17NkxMTBQeBSWACcjIyEBg4C9wda2C8CsrEH5lBVxdqyCw9y+qDo2KGEODzCFf/fv6w9ysGMzNiqF/X38cOx6h2sBIbWRkCAgcsh6u1csi/NhYhB8bC9fqZRE4ZH2+ZUT/hYaGBE62ljA00MYvS8/kKNfU1ICHSym8jkvGytCIwg+Q1FKNapYoZqgDbS0N1KtZGh39q2L/PzGqDovUVOZnYHDmZ+Dx8Qg/Pv7/n4E550SvVLEE7KpYYeyMHYUfKNE3pkglFN/T0tJC27ZtceDAAXGdkZHyv1BIJHnntLOWCYKAcePGISIiAhEREbh27RquXbv20dvNvj6/WG/evAkXFxe4uLhg0KBBCmW1a9fG06dPsXHjRnTq1CnPbeRm+PDhGDBgAHx8fBSSotnp6X2YI0VTUxMymSxHnfzOS+nSpeHt7Y3Q0FAsWbIEP/74IwBgzpw54nEdPKj8BPNZz52npyeuX7+OnTt3omHDhmKCMWtCURAE9OjRQ4wtIiICz549g76+PoCCr5MGDRrg2LFjOHbsGHx8fABknvfNmzfjyZMnqFWrFgRBgLm5ucI+oqOj0aNHD9jY2ODmzZvw8/PD6dOn4ejoiLi4OKWOddy4cUhISFB4jBs3Tulz9a2KT3iHJ09foXu3ptDX14W+vi66dW2Cq1fv401coqrDoyKkYkVr6OpyLij6dPFvU/AkNgHdO3pAX08b+nra6NbBHVdvPMm37E18csEbJyqATJaBB48TCiiPL7yAqEjR0GCfIfp08W9T8ORZArp3qJXlM9Ajz89AmSyDcygSFYIimVAEgKNHj+bZ0yw7X19f8YYmz549w65du8Syhg0bYu3atRAEAUlJSdi0aZNY1rp1ayxbtkwctpqenq5wp+V9+/bh+fPMiWJXrlwJX19fcX9BQUEQBAHv3r1DcHCwOJdedsbGxkhJSRHnKqxWrZqYpFqyZEmO+r///jvmz5+PYsUUbxbQtGlTHDx4ELdv3xZjTUhQ/KdxxIgRGDx4MHx8fMS5ID9FQedl6NChmDBhAuLj48VzMnbsWPG4mjZtmue2GzRogAMHDuDp08y7DC5btgyNGjWCpqYmtLW1Ubt2bcyYMQO+vr6oXr06bt68iePHj6Nhw4YAgJYtWyIkJERMmmZkZODSpUtKH1uDBg0QFhaGBw8eiL0969evjxkzZqBOnTrQ0dGBra0tjI2NsXr1arHdvXv38ObNGzx+/BgSiQQtW7bE/PnzIQgCHj16BGNj4xzPR3a6urowNjZWeOjq6ubbhgBzs2IoX94K69cfhlSaBqk0Des3hMHa2hzmZsUK3gBRNjKZHFJpOmRyOTIEAVJpOtLSZNDT00HLFp5YEbQPCQnv8PZtMlYE7UOjhpyvk5RjbmqA8mXMsX7LRUilMkilMqzfcgnWlsYFlhHlRibPgDRNBpk8I/P9Kk2GtHQ5nsQm4uA/9/EuJR0ZGQKuXI9F8LZrqOueecfdW/de4fSlR0iVZrY9fvYBdh+5K5YTAe+vLznk4vUlR1q6HG+T0vDPhcdISZVBLs/A2fBn2LgnCk3qfRiVlC7LbJuRIUCekdk2XZahwqOhr9mHz8ALWT4DL8La0hi6OlrYujscbxNTIQgCou49x9JVJ1C3ViVVh01U5BWpiVDez6Eok8lQvnx5pe+a+/vvv6Nnz56oVq0aSpcuLSafAGDy5Mno3bs37O3tYWFhAWdnZ5iamgIAunTpgtevX4t3QZbJZAgMDESNGplfHuvVq4fOnTvjyZMnqFKlinjX6UmTJmHIkCFwcnICALRv315hvseszM3N0b17d1SvXh1GRkYFJr/e98TLrnLlyli9ejW6du2K9PR0aGpqYtmyZfDwUJysdtiwYdDQ0ED9+vVx7Nix/E9cHgo6L7Vr14aJiQn69++fb29QAHBwcFCo8/jxY8ybNw9+fn4AgLJly2LFihViua+vL44fP446depAIpHAw8MDUVFRMDc3B5D5nMydOxdt2rSBTCZDWloa/P39873hTVbu7u6Ii4uDv7+/uK5+/fro37+/eBMcLS0t7NmzB8OGDcOCBQsgl8thYWGBDRs24Nq1axg3bhwEQYBMJkO3bt1QvXp1yGQyODg4wNHRETY2NgpJbfrv/lwyHLNnr4e391BkCBmwty+PpX8OV3VYpKaWLtuNxX/uFJer1+gHD3dbBK8di/FjO2P6zGA0ajIaOjraaNjABWPHfFyPcfq2/TmvA2YvPATvFguRIQiwr2qNpfM6FFhGlJulwZexeO2H/x2rN10BD+dSmDO2IdZujcSEeceRIQiwLG6IrgFO6NfZFUBmoui3lecR/SgeEokEpa2KYewAL7TwrZrXrugbtHR9JJaEXBWXnb8LgXt1K/w+0QdLgq9ixKMTAIDSVkYY298dft4VxLqTFpxRuFHL+p230bpxJcwZzXlhKXd/zuuE2QsPwvu73z58Bs7vBIkE2HPoOub+cRhp6TKYmxmiSQN7DOnXQNUhk4oUkGKgz0giCIKg6iC+Zunp6ZDL5dDT08O7d+/QtGlTDB48WGEuxdxMnToV8fHxWLhwYeEEqkaePHmCmjVr4s6dOzl6UtInEC4UXIfoU0g8AHnO+bSIPgtNLyAuRNVRUFFl1hV4ulDVUVBRVWoYhAezVB0FFVGS8uOB+A2qDoOKKtPOqo7gi7ugX1nVIXw0j5R7qg7hkxSpHopfQlxcHJo1awa5XI7U1FS0atUqz96EVLDJkydj1apVmDNnDpOJRERERERERERqiAnFAlhaWuLy5csf3W7q1KmfP5giYPr06Zg+fbqqwyAiIiIiIiKiIoZDngtPkb0pCxEREREREREREX1+TCgSERERERERERGR0phQJCIiIiIiIiIiIqVxDkUiIiIiIiIiIlJ7Eomg6hC+GeyhSEREREREREREREpjQpGIiIiIiIiIiIiUxiHPRERERERERESk9jQkqo7g28EeikRERERERERERKQ0JhSJiIiIiIiIiIhIaRJBEHgLHCIiIiIiIiIiUmtXjCqpOoSP5pp0X9UhfBLOoUik9i6rOgAqstwA4ZKqg6CiSlITSP9H1VFQUaVdH0g9oOooqKjS8wPe7VZ1FFRUGbYApGGqjoKKKl1fVUfwxUk4h2Kh4ZBnIiIiIiIiIiIiUhoTikRERERERERERKQ0JhSJiIiIiIiIiEjtSSCo3eNjPXnyBF27dkXx4sWhr68PJycnXLr0YaoqQRAwefJklCxZEvr6+vD19cXdu3cVtvHmzRt06dIFxsbGMDU1Re/evZGUlPRRcTChSERERERERERE9JWLi4tDnTp1oK2tjf379+PmzZv49ddfYWZmJtaZO3cu/vjjDyxbtgznz5+HoaEhmjZtitTUVLFOly5dcOPGDRw+fBh79uzBiRMn0K9fv4+KhTdlISIiIiIiIiIi+sr98ssvKFu2LFavXi2uq1ixovi3IAhYuHAhJk6ciFatWgEA1q1bBysrK+zYsQOdOnXCrVu3cODAAVy8eBE1a9YEACxatAjNmzfH/PnzUapUKaViYQ9FIiIiIiIiIiIiFZBKpXj79q3CQyqV5lp3165dqFmzJtq3bw9LS0vUqFEDK1asEMujo6MRGxsLX98Pd/Q2MTFBrVq1cPbsWQDA2bNnYWpqKiYTAcDX1xcaGho4f/680nEzoUhERERERERERGpPIlG/x+zZs2FiYqLwmD17dq7H9++//2Lp0qWoUqUKDh48iAEDBmDIkCFYu3YtACA2NhYAYGVlpdDOyspKLIuNjYWlpaVCuZaWFszNzcU6yuCQZyIiIiIiIiIiIhUYN24cRowYobBOV1c317oZGRmoWbMmZs2aBQCoUaMGrl+/jmXLlqFHjx5fPNas2EORiIiIiIiIiIhIBXR1dWFsbKzwyCuhWLJkSVSrVk1hnb29PR4+fAgAsLa2BgA8f/5coc7z58/FMmtra7x48UKhXCaT4c2bN2IdZbCHIhF9M1JT09CixRjExSXi0qWVqg6HipAjRy/jjz+24MGD5zAy0segQW3wfSffghsSZZGWlo7pP/+NM+duIS4uCVZWpujTqynaBdQFAFy/8QA/z9mIqDtPYGZmhMEDWqB1K08VR03qKDU1DS3a/YK4+He4dGqOuH7ztrNYueYonj+Ph7m5Ecb/FADfBk4qjJTUxdgpG7Fnfzi0tTXFdav+7IcazhUAAM9fJGDanG24HB4NSIDa7pUxZWwAzM2MVBQxqZsZszch7OhVJCalwtBQF36NXTF6RGu8evUW/q1nKNSVpsngXdcByxb9oKJoSZUkElVH8GXVqVMHUVFRCuvu3LmD8uXLA8i8QYu1tTWOHDkCFxcXAMDbt29x/vx5DBgwAADg6emJ+Ph4XL58GW5ubgCAo0ePIiMjA7Vq1VI6FiYUqdDJZDL8/PPP+Pvvv6GlpQUtLS14eHhg7ty5iIiIwLBhwxAREZGj3dOnT9GxY0ecPHmy8IPOYurUqYiPj8fChQtVGgd9vN9/34xSpSwQF5eo6lCoCDlx8iqmTVuNeXMHomZNOyQlpeDV6wRVh0VqSCbLQIkSJlizYjjKli2Bq5HR6DvgD1hbmaG6U0X0G/AHBg9qiQ7t6uH6jRgE9luIMmUtUNO1iqpDJzXz+5/7UaqkGeLi34nrQrecwZqQ41jwSw/Y25XG6zeJSElJU2GUpG6+b++FCaNb5Vo2bc42AMDRvRMgCAJGTdiAmXN34LfZXQszRFJjnTt6Y+TQVjAw0MWbuCQMHbUSK1cfxsB+zRB+foFYLy1dhnqNxsPfz02F0RJ9OcOHD4eXlxdmzZqFDh064MKFC1i+fDmWL18OAJBIJBg2bBhmzpyJKlWqoGLFipg0aRJKlSqF1q1bA8js0ejn54e+ffti2bJlSE9Px48//ohOnTopfYdngEOeSQV69+6NS5cu4ezZs7h+/TrCw8PRuHFjvHnzJt92pUqVUnkykdTX9ev/4tSpSPTt20LVoVAR8/vvWzBoYABq1aoGTU0NmJgYopKN8h/ERO8ZGOhi6I+tUK6cJSQSCVycbVDL3RaXw+8hPOI+dHS08H3H+tDU1IBzdRs08XXFlq2nVB02qZnrNx/h1Olb6NvrQy9quTwDf/y5DxN+CkA1+zKQSCSwKG6MsmUsVBgpFSWPHr9Bs8bOMDTQhZGhHpo3ccGde89UHRapkUo21jAw+P8QUEGAhkSCBw9e5qgXdvQqhAwBTXxdCjdAokLi7u6O7du34++//4ajoyNmzJiBhQsXokuXLmKdn376CYMHD0a/fv3g7u6OpKQkHDhwAHp6emKd9evXw87ODo0aNULz5s1Rt25dMSmpLCYUqVDdu3cPmzdvxurVq2FmZgYgM4Pevn172NjYAMjswThw4EA4OzvDwcEBly5dAgDExMTA1NRU3NbZs2dRt25dODs7o3r16ti5cycAYNSoUXB3d4eLiwu8vb0VugPv3LkT9vb2cHZ2xpgxY2BhYYGYmBgAwKVLl+Dl5YXq1avDw8MDp0+f/qhje/HiBQICAuDk5ARHR0f89ddfYlle235/TKNGjUL16tXh4OCAsLCwjzupVCCZTI5Jk1Zi8uSe0NZmx2z6fJKTU3HjRjSeP3+Dpk1Hok7dgRgy9He8eBGn6tCoCJBK0xF5PRq2VcsgI0OAICiWZ2QIiLrzWDXBkVqSyeSYNG0jJo9vpzA0NTrmBV69TsTNW4/QsNk0eDeejInTNiIpKVWF0ZK62bn3Ejx8JsG/3TysCj6OjIwMsaxXV28cCItEYmIK3iamYO+BcDTwdlBdsKSWlgcdQo1aw+HpMxa37zxB1871c9TZuv0sWvi7Q1dXWwUREhWO7777DteuXUNqaipu3bqFvn37KpRLJBJMnz4dsbGxSE1NRVhYGKpWrapQx9zcHBs2bEBiYiISEhKwatUqGBl93DQUTChSobpy5QqqVKkCC4u8f/G+ffs2evTogatXr2Lw4MGYMGFCjjpv3rxB69atMXv2bFy9ehURERGoV68eAGDMmDG4ePEiIiIiMHDgQAwdOhRAZsIvMDAQ27dvx9WrV2FnZ4fXr18DANLS0hAQEIApU6YgMjISv/32G9q2bYukpCSlj23w4MGwtbXFtWvXcPToUcycORPnzp0rcNsJCQmwt7dHZGQkgoKC0LlzZyQm5hySK5VK8fbtW4WHVCpVOr5vWVDQHtjbV4C7u72qQ6Ei5u3bdxAEAWFHLmPVqrE4dPA36OhoY/RPS1UdGqk5QRAwYfI6lC9niSa+NeDiYoOUFClCNhxFeroMl6/cw+Ej4Uz40EcJWnsU9nal4e5WWWF9fELm0Ocz5+9gy4aR2LHpJzx+8hqz5m1TRZikhrp1qosD28fg7JFp+HlyB6z7+xTWbfjQg9rVpQJev0mCu89kePhMRkJiCvr3aqjCiEkd9evdBOHnF2Dfjkno1L4eShQ3Vih/8vQ1zpy7jfYBXiqKkL4GGhJB7R7qiglF+upUrlxZnAjU09MT9+/fz1Hn7NmzsLW1FZOIGhoaMDc3BwAcPnwYnp6ecHR0xPTp08X5GM+dO4fq1avDzs4OANCjRw/o6OgAAKKioqChoYGmTZsCAOrWrQsrK6tc53LMS1hYGPr37w8AsLS0REBAAMLCwgrctpaWFnr27AkAqF27NkqVKoXw8PAc2589ezZMTEwUHrNnz1Y6vm/Vgwex2LjxCH76qbOqQ6EiyMAgc9hAt25NUbp0CRga6mHI4LY4f/4mkpOZ6KFPIwgCps7YgOiYWPz5x0BoaGjAzNQISxf/iD17L6Cuz2j8unAbAlp7wdTUUNXhkpp48PAlNm4+jZ9G5JzjzvD/wwj79/aFuZkRzM2M0L+3L479c6OwwyQ15WBfBuZmRtDU1IBL9fLo27MB9h2KAABkZGQgcMByuDpXQPipnxF+6me4OldA4MCPG1pH9F4lG2vY2ZbG2EnBCuu37TgHe7uysLMto6LIiL4tHPtHhcrV1RV3797F69evUbx48VzrZB3Xr6mpCZlMpvT2Hz58iB9//BEXL15EpUqVEBkZCW9v70+KVfIfbw+VX/uCtp1b+bhx4zBixAiFdZm3kr/+SfF9Ky5fjsKrVwlo2jTz3Mlkcrx7l4patfph+fKf4OxcuYAtEOXN2NgQpUrl/l6WfXgqkTIEQcC0mRsQee1frFk5AsWKGYhlbq6VsXH9WHF52MjlcK9ZNbfNEOVwOfxfvHqdiKYtfwbw/vNQilr1x2PRr4EcHkiflYbGh/9l4xNS8ORZHLp/Xxf6+pk/5nfrVBdB647jTdw7mJvxhxH6eLJ0OR48fCEuZ2RkYNvOs+jXu6kKoyL6trCHIhWqypUro23btujduzfi4+MBZH552rp1K/7991+lt+Pl5YW7d++KN2nJyMjAmzdvkJCQAG1tbZQsWRKCIGDx4sVim9q1ayMyMlKcUzEkJARpaZl3L7S1tUVGRgYOHz4MADhz5gxiY2PF26wrw9fXFytWrAAAvHz5Etu2bUPjxo0L3LZMJkNwcOavaxcuXMDTp09z3a+uri6MjY0VHpkJRcpPs2a1cfjwb9i5czZ27pyNmTP7wtBQDzt3zoa9fQVVh0dFQIcODRESchDPn79BamoalizZDk9PBxga6hXcmCib6T//jSvh97FqxXCYmCh+yb556yHS0tKRmpqGTVtO4sLFKPTo5pvHlv7H3n3H13j+fxx/nexBEiOR2jtEEidWRK1ExGgpqkZVqdqtVdRoa7corWpptWatVovSYdRKUZtEjNpBbSVkOlnn90d+PZovKtpyJN7Px+N+PJz7usf7PjnOST7nuq5bJKsm4YGs+/EdVn7zJiu/eZNxI9vh6urIym/exFi5JM2fqcbMORu4GZdEXFwSM+dsoEGIv7VjSw6x6ucoEhJuYTabOXD4d2bO3UR4g8zXT/58rpQoVpBF32zDZErFZEpl0Te/4l3IXcVEyZbEpFssW7GduLgkzGYzR4+d57OZa6hdy9eyza/bjxAbm8izTapZMak8DgyGnLfkVOqhKI/cnDlzGDduHEFBQdjZ2ZGRkUHdunVp0KABZ8+ezdYx8uXLx3fffcfAgQOJj4/HxsaGsWPH0qxZM9q1a0elSpUoUKCA5bbokDkMedasWbRo0QJHR0caNmxInjx58PDwwMHBgeXLl9O3b18GDhyIk5MTS5cuveekpLNnz2bp0qWWx2+88QYff/wxvXr1wt/fP3Puq7fesgzdvtex//jjD9zd3Tl48CCVK1cmLS2NxYsXkzdv3n/+BEsWzs6OODvfLrzmz38Zg8GAt/fde5WJPKju3Zpz80YCzZ8bBkBQkC/vT+xl5VSSE52/cI3FX0fg4GBHaMNhlvXNng1izMiXWLBoI+s2RJKelkGgsTRfzhlIIS8P6wWWHMXZ2cHSOwwgf748mZ+HhTwAGD64JWPGL6VB0zE42NsSWt+foYNaWCes5DiLlvzKiHFLSU/PwMvLnfYv1KJLx9s3zPh0SmfGT/6euo3HkpFhpqJPYT6b0sWKiSUnMWDgx1V7eP+D70hJSSV//ryEhxnp2/tZyzZLv9tGo4aB5M3rbMWkIk8Wg9msQVny5IiPj7cU61asWMGwYcP47bffrJbn9OnTGI1GS2/Nf2bvfxVH5H9UBfMea4eQ3MpQDVJ/sXYKya3s68GtNdZOIbmVU2NI/MHaKSS3cm0GpvXWTiG5lWPuH9lwKF8pa0d4YJViY6wd4R9RD0V5onzyyScsWbKE9PR03NzcWLRokbUjiYiIiIiIiIjkKCooyhNl+PDhDB8+3NoxLEqWLPkveyeKiIiIiIiICEAOnpIwx9FNWURERERERERERCTbVFAUERERERERERGRbNOQZxERERERERERyfEMBt13+FFRD0URERERERERERHJNhUURUREREREREREJNtUUBQREREREREREZFs0xyKIiIiIiIiIiKS4xkM1k7w5FAPRREREREREREREck2FRRFREREREREREQk2wxms1n31BYRERERERERkRztWMGS1o7wwMr/cdraEf4RzaEoktNlbLd2AsmtbIIh9Rdrp5Dcyr4enP/A2ikktyoyEPOvna2dQnIpw9PzMC8It3YMyaUMHX/W56M8PEUGWjuB5CIa8iwiIiIiIiIiIiLZpoKiiIiIiIiIiIiIZJuGPIuIiIiIiIiISI5nMOg2IY+KeiiKiIiIiIiIiIhItqmgKCIiIiIiIiIiItmmIc8iIiIiIiIiIpLjGawd4AmiHooiIiIiIiIiIiKSbSooioiIiIiIiIiISLapoCgiIiIiIiIiIiLZpjkURUREREREREQkxzNoEsVHRgXFXKZkyZI4Ojri5OREYmIilSpVYsiQIdSqVeuhnzsiIoJbt27RuHHjh36u/zVq1Chu3LjBRx999FD3SUlJoVWrVpw5c4a6desyffr0Bw97F6dPn2bNmjX07NnzPznek27hovUs/24rx46do25dfz6d1s/S1vHl8URGncTe3taybs3qCRTyymeNqJLDpKSkMubdr9i24zdiYxMoVMiDrq80onWr2gAcPHSGdyd8zdFj58mXLw99ejWjxXPBVk4tj7OF3x1k+dpjHIu5Tt0axfh0bCNLW99R69h38BJJt9LwcHOidRMfenesYmn/dc85Jn+xk9Pn43jKy5WhvYKpW6OYNS5DHkMpqRmMXRTDtsM3iY1PpVA+B7o2KcLzdbwA6Dv9KJEn4kkyZeCRx47Wdbzo1ayoZf/Qwfu4FpeCrU3mX2a2NgZ2T69hlWuRx9PYNdfZcDSJeFMGro42NK7owqAG+XCwNTA14gbrjyZx6o9UOlTPy/Dw/Fn23Xv2Fu9viOXkH6m4ONjwnL8rA0I8sFElQPh3n417Dlzi/Rk7OHk2Fhcne1qEl2fAq9WxsdFrS+S/poJiLrRkyRKMRiMAy5cvp2nTpqxdu5agoKCHet6IiAhu3LhhlYLioxIZGcnx48c5evToHW0ZGRkA2Ng8+EwCp0+fZsaMGSoo/ke8PD3o3bMZ27Yf5tLl63e0Dxr4Ap07NbrLniJ/Ly0tA09Pd+bNHECxYp7sj46hW6+P8S6UjwD/UnTv9TF9XmtOm9Z1OHjoNF26f0TRYgWpVqWctaPLY8qrgCu9X6rCtr3nuPRHYpa2116uSqmi7jg42HLhcgJdh66iiHdenmtYjt8vxPH6iJ/58J0G1Asqzi87z9J31Dp+mNWaYoXdrHQ18jhJyzDj6W7P3EG+FPN0ZP+pBLpP+Y1C+Ryo7efBa88VpVQhZxzsbbhwzUS3D3+jSEFHmgd7Wo7xQY/yhFXJ/zdnkSfZi9XyMjDUAxcHG2KT0um37Cqzt92kVx0PiuezY3CDfHwbGX/HfukZZnp/e5UuNd1Y3MmNi3HpdFpwiSLudrSrmtcKVyKPm3/62ZiensFr76ylS5sAvvq4ORevJvLyGz9SxDsP7Zr5WulqRHIvzaGYy7Vq1YqePXsyefJkABISEujSpQt+fn74+fkxevRoAI4dO0b58uUBMJvNFCpUiOHDhwOwefNmQkNDAejcuTM9evSgQYMGlC9fnlatWpGSkkJUVBQzZsxg0aJFGI1GxowZA8CCBQsICAggICCAZ555hvPnzwNQq1Yttm3bBsCbb75JkSJFLJlLly7N2bNniYiIwM/Pj969e1O5cmUqVarEnj17Huj6Dxw4QO3atalSpQq+vr6MGzfurtsdPnwYPz8/Vq9eDcDkyZOpUaMGVapUoXHjxpw5c4bDhw/ToUMHzp49i9FoZP78+YwaNYrnn3+eRo0a4efnx8WLF+95zfPmzSMsLIz27dvj7+9PtWrVOHXqFAA9e/bk6NGjGI1Gmjdv/kDXKHcKD69GWFhV8uXLY+0oksu4uDjS7/XnKF7cC4PBgLFyaYKq+7A38gSRUSdxcLCjfdt62NraUDmgNOFhVVi6bKu1Y8tjLLxuKcJqlySfu9MdbT6l8+PgkNmb2mAAG4OBM+dvArB59+/4litISHAJbGwMhASXwL+CJyt+PvZI88vjy8XRlr4ti1Pcyynz/apMXoIquLPveBwAPkVdcbDP/FPAYAAbGzh9+ZY1I0sOU6agPS4Oma8hsznzPer09TQAWlbOQ92yzrg63vnnZrwpg5vJGbQIcMXWxkBRDztqlXLm2NXUR5pfHl//9LMxPjGFG3EmWoSXx9bWhqLeealVpQjHTt3ZwUBE/j0VFJ8AQUFBHDp0CICxY8diMpmIjo5m586drFixgiVLllC+fHlMJhNnz54lOjqa0qVLs2HDBgDWrVtHWFiY5XhRUVH88MMP/Pbbb1y+fJlly5ZhNBrp2bMnHTp0ICoqihEjRnDw4EEGDx7M6tWriY6OplatWnTt2hWAsLAw1q9fD8DGjRspWrQohw8f5uTJk9jZ2VG8eHEAjhw5QqdOndi/fz99+vThrbfeeqBrL1myJBs2bGDfvn3s3buXZcuWsWPHjizbRERE0Lp1a+bPn0+TJk1YvHgxR48eZfv27ezbt48OHTrQu3dvfH19mTVrFj4+PkRFRfHyyy8DsH37dubPn8/hw4eJjY295zUD7N69m/fee48DBw4QFhbGxIkTAZgxY4bluN9///1dr8VkMhEXF5dlMZlMD/R8SKbPZvxAjZqv0aLVCFas+NXacSQHM5lSiT4Yg0/5omRkmDGbs7ZnZJg5euycdcJJrjDqo61UbjKb+u0Wk5ScSstG///lX4aZ/3m5Yc6Ao/qjSe7BlJpBdEwC5Yu5WtaNXnAKY8+dhAzaR+KtDFo97Zlln5HzT1Gz727avnuAX6JjH3VkyQG++PUmVSaepdaUcxy5nMJL1e/fw9DD2ZbnK7uyLCqB1HQzZ6+nsi0mmfplnR9BYskN7vXZ6OHmxPNNfFi6+iipaRmcPR/Htn3nqVezuJUTy6NkMJhz3JJTqaD4BDD/5S/c9evX061bN2xsbHB1deXll19m3bp1ADRo0ID169ezfv16OnbsiMlk4saNG6xfv54GDRpYjtGyZUtcXFywtbWlRo0anDx58q7n3bRpE40bN7b0PuzduzcbN24kPT3dUlD8448/sLOzo02bNpZz//VcZcuWtQzVDg4Ovue57iU5OZmuXbvi7+9PzZo1OXPmDFFRUZb2jRs30rNnT9asWUOVKplzb6xYsYL169dTtWpVjEYj77//PmfPnr3nOZo2bUqhQoXue81/XkOpUqX+0fWMHz8ed3f3LMv48eMf6PkQeGPAC6z/+X1+3TKVgW+8wNh3F7Ju3V5rx5IcyGw289aI+ZQo7kV4WCBGY2mSk00sXLyR1NQ09u47wboNkSQkqMeP/HOj+tcm8qcuLP2sJc+Fl8c9ryMAtaoW5cCRq6zfepq09AzWbz3NvoOXSEhSDx+5k9ls5u25JylRyInwvwxhHtmxNPs+rcG37/jTolZB3Fxvz4b0freyrJ8YyOYPqvJSA2/6Tj/KgZgEa8SXx1j3p93ZN6Q4P/UsTLsqefDMY3v/nYDGvq58sy8B44SzhH96gfrlXKhT5s7eaCJ3c6/PRoAm9UvzzY+/UbnxbBp2/JqQmsU1v7DIQ6KC4hNg9+7d+Pn53bXN8JeJj/8s8q1fv56wsDBCQkL47rvvOH78ONWqVbNs5+R0+8Pe1taWtLS0bOX467mCg4M5ePAgK1euJDQ0NMu5/1pQ/Kfn+tPw4cMpWLAgkZGR7N+/n/r163Pr1u0/7suWLYuNjU2WXotms5lhw4YRFRVFVFQUBw4c4MCBA/c8R5489x5Wa/ifiaX/zfUMGzaMmzdvZlmGDRuW7f0lU2BgWfLmdcHe3o46tf1p26Y+q1bvtHYsyWHMZjOjxi4m5vQlPv24NzY2NuTzyMNn017nx592Ubv+YD74aDmtWtTCw8P1/gcU+Rs2Ngb8fTxxdbZn4ozMz6vSxT2YMqIB0+bvpVarBSxddYSmoWXwcHO8z9HkSWM2mxm9IIaYS8lMf93njhsT2NgY8C+VB1cnW95fcsayvlp5N5wdbXGwt6FZTU9CKufn5z3XHnV8ySHKFLSnQiEHhn1//9fIqWupvPbNFYaG52P/sOJs7leEU3+k8sHGGw8/qOQad/tsPHX2Br3f/plhvYOJXvsqW759iZNnbzB55i4rpxXJnVRQzOVWrlzJZ599xsCBA4HMouHs2bMxm80kJiayYMECwsPDgcweihs2bOD06dOUL1+esLAwRo8eTe3atbG1vf+3jW5ubty8edPyOCQkhDVr1nDhwgUgc1hvgwYNsLW1xd7enpo1azJ27FjCwsIICAjg8OHDREREWOZr/C/ExsZStGhR7OzsOHr0qKU35p+KFy/Ohg0bGDduHHPnzgWgRYsWzJgxg+vXM4eNpaamEhkZma3z/d01/53/fe7uxtHRETc3tyyLo6P+cPy3dMc3eVBms5nR4xYTfeAUc77oT968Lpa2qlXK8vWioez8dQqL57/JH3/EUb1aeSumldwkLT2DM+fiLI/Dni7Jii+eZ9fKTsx4rzFnzt2keuWnrJhQHjdms5kxC2OIPpXA7IG+5HW59/0YU9PNnL6cfM/2f3DPOXnCpGbAmev37yV97EoK3m52NK7oip2NAa+8drQIcOWXE/d+/Yncy18/G4/FXMfb05XG9UpjZ2uDVwEXWoSX45cd9x5tJrmPjSHnLTmVfjXIhdq2bUvlypUpW7Yss2fPZtWqVZZhw++88w729vb4+/sTFBRE8+bNadOmDQCFChWiUKFCBAcHA1CvXj0uXLiQpcfg32nZsiVRUVGWm7L4+fkxadIkGjduTEBAAFu2bGHmzJmW7cPCwrhy5QpPP/00BoOBGjVqULx4cfLn/2d3E5w9ezZFixa1LB9++CFvv/02c+fOJSAggKFDh961WPnUU0+xceNGpk+fzscff0yHDh3o3LkzISEhVK5cGaPRyMaNG7OV4X7XfC8BAQFUqlQJPz8/3ZTlP5CWlo7JlEJaWgYZGWZMphRSUtKIi0vkl1/2k5xsIj09g+3bD/P1kk2Eh1e7/0FF/t+Yd79iX+RJ5swcgLt71t6Hh387S0pKKrdupfDN0i3s2n2UTh3D7nEkkcw/hEwpaaSlmzPfr1LSSElN5/yleNZuPkVicioZGWb2HbzEguUHqV29qGXfA0evkpaeQUJSCtPm7+VmvImW4Spgy21jF8aw73g8swdVxP0vw5nP/2Fi7Z5rJN5Kz3x9nYhn4fpL1PbzAODCNRO7j8aRkppBaloGq3f9wYbI6zTQHZ/l/yWmZLAsKoG4WxmYzWaOXklhxtabPF0mcx7E1HQzpjQzGRmQngGmNDOp6ZnTMPl5O3AlPp31R5PIMJu5npjOygOJVCzkYM1LksfIP/1srFS+IFeuJbJ+62kyMsxcv5HM9+uOU7FsAStfkUjuZDCb/3cKeRHJUTK2WzvBY+eTad8xbfrKLOtqVPdh6kev0aPXR5w8mdmDtEiRgnR6OZzWz9e1RszHn00wpP5i7RSPlfMXrhEaPgwHBzvs/tLzuNmzQYwZ+RLD3p7Hug2RpKdlEGgszbAhbSlXtrAVEz/G7OvB+Q+sncLqPpm3h2nz92VZV6PyU0wYUp/B4zdx7NR1MsxmvAq48FzDcvR4MdDSs/qVwT+x/7crGAzwdNWiDH8tGG9P3d0egCIDMf/a2doprOr8HyYavLkPBzsDdra3uz80C/ake9MivDnzOMfOJZFhBi8Pe54L9qT7M0WwsTFw4nwSg744ztkrt7C1MVDS24lezYoSalRBEcDw9DzMC8KtHcOqklIyeP3bqxy6lEJqmpn8rraEV3ChTz13nO1tGPr9H6yITsyyT4sAVyY0LwjAxmNJTNt8k7OxqTjaGahVypnh4fnI55K9ORhzM0PHn5/4z8d/89m44dfTTPtyL2cvxuHoYEetqkUY/lot8t/ljtFPpCIDrZ3goTvtnfNuwlPyUs7sRauCokhOp4KiPCwqKMrDpIKiPEwqKMpDpIKiPEwqKMpDpYLiYymnFhTvPZGKiIiIiIiIiIhIDmHIwXMS5jSaQ1FERERERERERESyTQVFERERERERERERyTYNeRYRERERERERkRxPQ54fHfVQFBERERERERERkWxTQVFERERERERERESyTQVFERERERERERERyTbNoSgiIiIiIiIiIjmeAbO1Izwx1ENRREREREREREREsk0FRREREREREREREck2g9lsVn9QERERERERERHJ0c4VKWbtCA+s6PnfrR3hH9EciiI53l5rB5BcqyqY91g7hORWhmqQsdPaKSS3sgmC1M3WTiG5lX1dSNlk7RSSWzmEQPqv1k4huZXt09ZOILmIhjyLiIiIiIiIiIhItqmgKCIiIiIiIiIiItmmIc8iIiIiIiIiIpLjGWwM1o7wxFAPRREREREREREREck2FRRFREREREREREQk2zTkWUREREREREREcjyDus09MnqqRUREREREREREJNtUUBQREREREREREZFsU0FRREREREREREREsk1zKIqIiIiIiIiISI5nMFg7wZMj1/RQLFmyJD4+PlSuXJmyZcvy3HPPsW3btod6zgsXLlCnTp3//LidO3emSJEiGI1GKlSoQI8ePUhNTX3g44waNYpbt2795/n+jsFgwN/f35K9T58+pKen33e/zp0789FHHz38gP9v3rx5HDly5G+3mT59On5+flSsWJEqVarQvn17zp49+4gSyn8lJSWVt9+eSWhoPwIDu9C48UCWLo2wdizJhW7dSqFh+BtUq97N2lEkB1u4aB2tWo/AL6ALvV//yLL+2rU4Bg7+jLr1+1GlWndatHqbDRv3WS+o5DgpKam8PXI+oY2GEljjdRo3e4ely7fesd0ff8RRo1Y/nnt+tBVSSk429r2vqRc2jCo1+1OnwRDenfgNKalpme9fQ2ZTt8FQqtTsT4sX3mXDpv3Wjis5SEpKKm+PmEdowzcJrNaLxs8MZ+myLZb2hIRkBg7+nCrVe1OrTn+mf/a9FdOKPDlyVQ/FJUuWYDQaAVi+fDlNmzZl7dq1BAUFPZTzFS5cmC1bttx/w39g8ODB9O/fn1u3blGvXj1mzJhBnz59srVvWloadnZ2jB49mv79++Pk5PRQMt7Lli1b8PDwICUlherVq7NmzRqeeeaZR5rhfubNm4eHhwcVKlS4a/vIkSP5+eefWbNmDUWLFgVgw4YNXLp0ieLFi2fZ9s/nWx5PaWnpeHp6MG/ecIoV82L//hN06zYRb+/81K4dYO14kotM/XgphQsXJDY23tpRJAfz8vSgd8/n2Lb9EJcuX7esT0q6hW/FEgwe2BYvLw8iftnPGwOns/Sb0ZQtW8SKiSWnSEvLwNPTnXkz36BYMU/2R5+iW6+P8S6Uj9pPV7JsN+a9xVSsWJwbNxKsmFZyohfb1WNg/5a4uDhyPTaBfgO/YNacn2nWtDq+FYsxeEArvLzcidh8kDfenMXSr4ZStkxha8eWHMDy/jV70O33rx5T8PbOR+2n/Rj77iJu3EwkYsNkrl2P45UukylSuAAtnnva2tFFcrVc00Pxf7Vq1YqePXsyefJkILO3Xv/+/S3t06ZNo3PnzkBmcSksLIz27dvj7+9PtWrVOHXqFAARERH4+fnRu3dvKleuTKVKldizZw8Ap0+fxsPDw3JMg8HAe++9R40aNShVqhRz5861tG3btg2j0Yi/vz9dunShcuXKRERE3Pc6nJycqFevHkePHiU9PZ3Bgwfj5+eHn58fffr0ISUlBcjs4delSxfq1q2Ln58fPXv2BKBOnToYjUauXLnC4sWLCQoKIjAwkMqVK/PDDz9YznPkyBGCg4OpVKkSrVq1Ijw8nHnz5gEQHx9Pt27dqFGjBgEBAXTv3t1y3r+TnJyMyWQiX758AKSmpjJ06FBq1KiB0WikTZs2xMbG3rHfqFGjaNOmDc2aNaN8+fI8++yzHDx4kEaNGlG+fHnat29PRkYGAFeuXKFVq1b4+/vj5+fH559/bjlOyZIlGTFiBMHBwZQqVYpx48YBMGvWLPbs2cOAAQMwGo2sWrUqy/kTExN5//33mT17tqWYCNCgQQNq1Khh+bkPGTKEKlWqMG3aNDZs2EBwcDCBgYFUqlSJ2bNnW/a7ePEi4eHh+Pr6Eh4eTrt27Rg1apTlWtu2bUuzZs3w9fUlNDSU69evI/8dFxcn+vV7geLFC2EwGDAayxEUVIm9e49aO5rkIgcPxrB1y366dX3W2lEkhwsPr05YWFXy5cuTZX2xYl682qUp3t75sbGxITQkkFIlnyJq/wkrJZWcxsXFkX6vP0fx4l6Zn4eVyxBU3Ye9kbdfQ+s3RnHzZiLPNatpxaSSU5Up/RQuLo6ZD8xmbGwMnDl7hWLFPHm1czje3vky37/qB1CqZCGiomOsG1hyDBcXR/r1aZn1/atGBfbuO05ysomfVu2if9+WuLm5UKqkNy91aJClB6M8YWwMOW/JoXJtQREgKCiIQ4cOZWvb3bt3895773HgwAHCwsKYOHGipe3IkSN06tSJ/fv306dPH9566617HsfR0ZFdu3axevVq+vbtS1paGikpKbRt25YpU6Zw4MABOnbsSHR0dLZyxcbGsmbNGqpWrcoXX3zB7t272bt3L1FRUZw8eZIpU6ZYtt27dy8//fQTR44cYcaMGUBmb8GoqCi8vLxo1KgRO3bsIDIykpUrV9KtWzdMJhMAHTt2pHv37hw6dIh3332XzZs3W447cOBA6tSpw65du9i/fz8ZGRlMnTr1npnr1KlD5cqVKVy4MDVq1KBWrVoATJo0CVdXV3bt2kVUVBT+/v68/fbbdz3Gnj17mD9/PkePHiU+Pp6uXbuydOlSDh8+zG+//cbq1asB6NOnDz4+Phw4cICNGzcybtw4duzYYTnOjRs32L59O7t372bSpEmcP3+erl27Uq1aNaZMmUJUVBRNmzbNcu5Dhw7h4OCAr6/vPa/x5s2bVKpUiX379tG/f3+qVKnC1q1biYyMZMuWLYwZM4Zz584B0LdvX4KDgzl8+DDz58+/o5C8c+dO5s2bx+HDh/Hy8spSFP0rk8lEXFxcluXPn59kn8mUQnT0SXx8it9/Y5FsSEtL550RsxgxojP29uqtLI/GtWtxnDx1AR+fYtaOIjmUyZRK9MEYfMpnfnkaH5/EhPe/YfSIl6ycTHKyL2atIbBGP4LrDebI0XO89GLIHdtkvn9dsrz2RB6UyZRK9IEYfMoXIybmEqmpaVSscPt3+4oVi3P02DkrJhR5MuTqgqLZbM72tn/2Yvvz3ydPnrS0lS1b1jJs+n/b/leHDh0AqFChAnZ2dly6dIkjR45gZ2dHSEjmB2pISAhlypT52zyTJk3CaDTSoEEDWrduTefOnVm/fj2dO3fG0dEROzs7unXrxrp16yz7vPDCC+TNm/eex4yJiaFJkyb4+fnRokULrl+/TkxMDHFxcURFRfHyyy8DULFiRWrXrm3Zb8WKFZY8gYGBbNmyhRMn7t0jYsuWLezfv5+rV69y9epVPvnkE8txFi5ciNFoxGg08tVXXxETc/dvJsPDw8mXLx8Gg4EqVapQv3598ubNi52dHYGBgRw/fhyA9evX06NHDwC8vLxo1aoV69evtxznxRdfBKBgwYKULl36nud7UPb29rz00u1fuK9du8YLL7yAn58foaGhXLt2jYMHDwKZQ6W7dOkCgLe3N88+m7UHU+PGjSlQoADw96+v8ePH4+7unmUZP378f3I9Twqz2cxbb82kRAlvwsOrWzuO5BKzZ/9IxYolqF69orWjyBMiJSWNAQOn06RxDfz9Sls7juRAZrOZt0Z8SYnihQgPCwRg0ofLaNmiFiVLFLJyOsnJundtTOSuqaxaOZJ2L9TFs4BblvaU1DQGvDmbJo2q4l+phJVSSk5mNpt56525lChRiPCGVUhKMuHi7Iidna1lm7x5XUhMfLT3EhB5EuXqrhS7d+/Gz88PADs7uyw3B/nfm5X8dZ5BW1tb0tLSstX2v7K7reH/bz10+PBhS9Hr6aefZvr06cDtORT/juF/bl+UJ0+ee2yZqV27dkyYMIHWrVsDkD9//nvetOWvxzabzSxbtozy5ctn2eZe2f/k4uJCs2bN+Omnn+jTpw9ms5lPPvmE8PDwv80Jdz6PD/q83us4f/ez+5Ovry8pKSkcPnz4nr0UXVxcsLG5XY/v2bMnTZs2ZdmyZZYiaHae2wfJOGzYMN54440s6xwdHYGD970myXwdjxo1h5iYi8ybNzzLz0/knzpz5hJfL9nAd8vfs3YUeUKkpKTRt/8nODs5MHbMq9aOIzmQ2Wxm1NhFxJy+xLxZb2BjY8OevcfYF3mC5d++Y+14kkuUKf0UFXyKMvTtL5k3qz+QWUzs+8YXme9fo9QTVh6c2Wxm1JgFme9fswdhY2ODi4sjybdSSEtLtxQVE+KTcHV9tPcREHkS5dq/qFeuXMlnn33GwIEDgcxehnv27CE9PZ2kpCSWLVv2yLL4+PiQmprKL7/8AsAvv/xi6eHn6+tLVFQUUVFRdxTk/ldYWBjz588nJSWFtLQ0Zs2a9bfFubx583Lz5k3L49jYWEsvzIULF1rmL3Rzc6Ny5cosXLgQgKNHj7J16+27/rVo0YKJEydaCl2xsbGcOHHivtnT09OJiIjAx8fHcpwpU6aQlJQEQFJSUraHpN9LWFgYM2fOBODq1assX76chg0b3nc/Nze3LM/NX+XJk4dBgwbRrVs3zp8/b1m/adMmdu3addd9YmNjKVGiBAaDgc2bN7N//+0714WGhlrmo7x8+TI//vhjdi8vC0dHR9zc3LIsmQVFuR+z2czo0XOJjj7JnDlDyZvXxdqRJJfYu/cof/wRR6PGAwmq2YPer31IQkIyQTV7sF9z28l/LCUljX4DPiE1NY1PPu6Lg0Ou/l5YHgKz2czocYuJPhDDnC8GWD4Pt+84wu/n/qBOyGCCag9g7HtfcfzEBYJqD+DK1RvWDS05VlpaOmfOXgEyi4n93vgi8/1rSnccNEWIPCCz2czosQuJjj7FnJkDLe9fpUp5Y2dny5Gjv1u2/e3I75QvpyH1TyqDTc5bcqpc9U7etm1bnJycSExMxNfXl1WrVlmGKrdq1Ypvv/2WihUrUrRoUQIDAy2FrYfN0dGRr7/+mtdee42MjAyqVq2Kj49Plhu6ZEf37t05efIkVapUAaB+/fp/24tx4MCBNGzYEBcXF37++WemTp1K69at8fDwIDQ0NMvdiufPn0+XLl2YNGkSZcuWpXr16pZ8U6ZMYejQoRiNRmxsbLCzs+P999+nbNmydz1vnTp1sLW1JSUlhcqVKzNy5EgAhgwZgslkIigoyNJLb8iQIVSqVOmux8mOjz/+mF69euHv7///w1nfytZdvbt3787AgQOZMmUK77333h3zKI4ZM4aCBQvSqFEj0tPT//9mHkYmTpyYpafrnyZMmEDv3r0ZO3YsRqMxS4apU6fSqVMnfH19KVy4MEFBQQ/8s5d/Z8yYeezbd4wvv3wLd/e/78kr8iCaNKlJrVp+lseRUSd4++2ZrFzxHvnzu1sxmeRUaWnppKenk5aWQUaGGZMpBYPBBoMB+r8xjeQkE5/PeAMHB3trR5UcaMy7i9kXeYIv5wzE3d3Vsv6VTg154fnb092s+Xkv3y7bwuzP+1Mgv9vdDiWSRWLSLdas3UfDBkby5nXm2PELfPbFKmrX8iU1NZ3+A2eSnJzC59Nf0/uX/CNjxi1kX+Rxvpz7Zpb3L2dnR5o2qc7Uj7/jw8k9uHYtnoWLNtCvbwvrhRV5QhjMDzLRoPxj8fHxlvkNd+/eTfPmzTl58iQuLo9HT6mEhARcXV0xGAzExMQQHBzM7t27KVZMk73/W8nJydjb22NnZ8e1a9eoWbMmCxcuzFbhM3v2/kfHyZ3On79KaGg/HBzssbO7/fVPs2a1GaPhgvdRFcx7rB0iR9m58zCvvT6FPbtnWjvK489QDTJ2WjvFY+eTacuZNn1FlnU1qlegz+ut6NjpPRwd7bG1vf1e1qN7M3r2aP6IU+YANkGQuvn+2z1Bzl+4Rmj4UBwc7LCzvT3XWLNngxgzsmOWbZev+JUvF6xn5bKRjzpmzmBfF1I2WTvFYyUpycRr/T7j8G+/k5KSRv78eQlvGEjf3s04cPA0Hbt8mPn+9ZcpZ3p0a0zPbk2smPox5RAC6b9aO8Vj5fz5Pwht+Oad71/Nghkz6mUSEpIZMepLNkXsx8nJgQ4vNuD13vpsvCvbp62d4KG7VDbnzc/qfeKMtSP8IyooPiLz5s1jypQpmM1mSw+/sLAwa8ey+Pnnnxk8eDCQOVT5rbfeon379lZOlTtER0fz8ssvYzabSUlJoXv37gwYMOA/PIMKivKwqKAoD5EKivIwqaAoD5MKivIwqaAoD9MTUFC8XK6ktSM8sELHT1s7wj+igqJIjqeCojwsKijKQ6SCojxMKijKw6SCojxMKijKw6SC4mMppxYUc/D0jyIiIiIiIiIiIvKoqaAoIiIiIiIiIiIi2Zar7vIsIiIiIiIiIiJPJoO6zT0yeqpFREREREREREQk21RQFBERERERERERkWzTkGcREREREREREcn5DAZrJ3hiqIeiiIiIiIiIiIiIZJsKiiIiIiIiIiIiIpJtKiiKiIiIiIiIiIhIthnMZrPZ2iFERERERERERET+jau+pawd4YF5Ho6xdoR/RDdlEcnpUjdbO4HkVvZ1Ie4ba6eQ3MqtDeZ1baydQnIpQ8NvyPgi1NoxJJey6b6RmzXKWjuG5FLuu05gjuhg7RiSSxnqL7J2BMlFNORZREREREREREREsk09FEVEREREREREJMcz2BisHeGJoR6KIiIiIiIiIiIikm0qKIqIiIiIiIiIiEi2qaAoIiIiIiIiIiIi2aY5FEVEREREREREJMczaArFR0Y9FEVERERERERERCTbVFAUERERERERERGRbFNBUURERERERERERLJNcyiKiIiIiIiIiEiOZ1C3uUdGBUURyVVSUlIZ8+5XbNtxmNjYBAoVykfXVxrRulXtLNv98UccTZu/w1NP5WflspFWSis5TWDdsVkep6SkUbqUJz989ToAYyf9yPqI34hPNOHq4kDjBn4M7huOg70+buVOKakZjP32PNuOJhCbkEYhD3u6hnnyfHABADp+dIKo00nY29yeXXz1iAoU8rAH4MTFW4z79jyHf0/Gwc5AiL8bw1sXwdlBv0lLpnEbbrDhxC3iUzJwdTDQqLwzg+q642BroN/319h3IYXkVDMeTjY87+9Cr5puln33njPx/uabnLqWhouDged8Xehf2w0bzXYvgPOIidg3agapqZZ1iX06k34gMvOBrR1OA97CoXFzzGYzqWu/59aUdyE93bK9XZ0GOPXoh02xkpgT4jHNnkbK8q8e9aXIYyglNYOxX59l229x///56EDXRt48/3TBLNv9EZfKMyMP8lR+B1a8U8my/tfDN/lg+XlOX7nFU/kdGNq6GHX83B/1ZYjkevoL5wlQsmRJHB0dcXZ2tqxbsGAB/v7+d2xbsGBB9uzZQ8mSJf+Tc5cqVYoFCxZQu3ZmMadr166sX7+e06dPA5CWlka+fPmIioqiTJkydz3G6dOnWbNmDT179vzXeU6fPo3RaOTGjRtZ1hsMBmJjY/Hw8Pjb/UeNGsXQoUNxcnL611nk4UhLy8DT0515M9+gWDFP9kefoluvj/EulI/aT9/+RWPMe4upWLE4N24kWDGt5DSRm9/J8rhZ+2k8E377vfTF1jUY+Ho4Ls4OXL+RSL+hS5g1fyu9X63/iJNKTpCWYcbTzZ65r5emWEEH9p9OovunMRTycKB2xbwADHruKTqFeN51/0HzzhBY2pUvepciITmDnjNi+HT1ZQY+99SjvAx5jLU3uvJGXTdc7G2ITUqn/4/Xmb07nl413Xgt2I2S+exwsDNwIS6N7suuUcTNjua+LqRnmHlt5TW6VMvL4nZ5uBSfTqdv/qCImx1tK7ta+7LkMZGydFFmkfAuHLu8hp2xKvFtGwPgOnU2jp17YZo9DQC7mnVxfnM0SSMHkh61G1zzYJO/4F2PJU+etAwznu72zB1QnmIFHdkfk0j3T45TKJ89tX1vFwbHfnWWisVcuJGYZln3+1UTfWac5IOupann584vB2/S9/OTfD+iEsU8Ha1xOSK5lr7CfkIsWbKEqKgoy3K3YuLDEBISQkREhOXx1q1bKVCggKWguHv3bvLnz3/PYiJkFgFnzJjxj86flpZ2/40ewOjRo7l169Z/ekz5b7m4ONLv9ecoXtwLg8GAsXIZgqr7sDfyhGWb9RujuHkzkeea1bRiUsnpog+d42TMVVo+G2hZV6aUFy7ODpkPzGBjMHDm92tWSiiPOxdHW/o+601xT8fM96tSrgSVz8O+k4nZ2v/3ayk0q54PBzsb8ue1I9TfjWMXkh9yaslJyhSwx8U+89d9M///nhSb+btReU97HOwyexsaAIMBS1u8yczNW2ZaVHLB1sZAEXc7gks4cuyP1LudRuQODs1bc2vOp5ivXcV87Sq35n6GQ/MXLO2OPftza/YnpO/bCRkZEB9HxplTVkwsjxMXR1v6Ni9CcU+nzM/H0nkIKp+XfSdudwTYEBXLzcQ0mtcskGXfLYdu4lvMhZAAD2xsDIQEeOBf0pUVO/541Jch1mJjyHlLDqWC4hPu+++/p2LFigQEBPDmm29madu2bRtGoxF/f3+6dOlC5cqVLcXBS5cu0aZNG2rUqIG/vz9vv/32XY//14Li77//Tr58+XjmmWcs6yIiIggJCSEtLY1GjRpRrVo1KlWqxIsvvkhiYuYfVD179uTo0aMYjUaaN28OwPHjx3nmmWeoXr06AQEBTJs2zXJOg8HAyJEjqV69OsOGDXvg58RgMPD2228TGBhI+fLlWbRokSUHQJ06dTAajVy5coUrV67QqlUr/P398fPz4/PPPwfg559/Jjw8HIC4uDjs7e354osvAJg/fz5dunQBoH79+gwaNIg6depQpkyZ/6QXpmRlMqUSfTAGn/JFAYiPT2LC+98wesRLVk4mOd3SlXupG1yOQp5uWdZ/MW8zgXXHEhw+gSPHL/FSGxWuJXtMqRlEn0mifJHbveA/W3OZoDcP0nLCUVbsvJ5l+y4NPFm5M5ZbKRlcjUtl3f6bhPhrSJdkNXNnPFU/vsDTn13iyJVUXgrMY2kbvf4GgVMvEDrzMkmpZlr6uQDg4WxDKz8Xlh5IJDXdzNkbaWw/Y6JeaY3QkNvsm7Yk77o95Pl6NQ4vvppZlQbI64ZNoafIOPabZduMY4exeaoIuOYBJ2dsK/hh4+lNnqXryLt6Oy7jP8FQ4O69sUVMqRlEn06kfJHMEXfxyWlM+PYcozqUuGPbDHPmFyhZ15k5dk5fuIn811RQfEK0bdsWo9FoWZKTk7ly5QqvvPIKy5YtIzo6mrJly3LtWmZPmpSUFNq2bcuUKVM4cOAAHTt2JDo62nK8Tp068dprr7Fr1y4iIyPZs2cP33777R3nDQkJYdu2baSkpLBp0ybq1atHvXr12LRpEwCbNm0iNDQUW1tbFi9ezJ49ezh48CDu7u588sknAMyYMQMfHx+ioqL4/vvvSU9Pp3379nzwwQfs3r2bHTt28MUXX7B7927LeW1tbdm9ezeTJk36R8+XwWAgMjKSNWvW0KdPnyy9JLds2UJUVBReXl706dMHHx8fDhw4wMaNGxk3bhw7duygTp067NmzB5PJxKZNm6hevTrr168HYN26dYSFhVnOdfLkSTZt2sTBgwdZu3Yt27dvv2smk8lEXFxclsVkMv2j63tSmM1m3hrxJSWKFyI8LLMX2aQPl9GyRS1Klihk5XSSkyUlp/DTzwdo3aLqHW3dO9clcvM7rPqmD+2er45ngTx3OYJIVmazmbcX/04JTwfCK2cWBd9o/hTrRlVk6/hKvNH8KcZ9e551+29a9qnr68a+U4lUHXSAOsMP81Q+e54Pzm+tS5DHVLegvOztW5gfO3vRtrIrBV1tLW0jwzzY2/cpvu3gyXO+Lrg53v7ToImPM99GJxE49QKNZl+mfmkn6pTUcEHJZFoyn4QXwolvVIPkccNwbNcJh3adATA4Zw6LN8fHWbY3x8dntrnmweDmjsHGBvv6YSS+3on4Vg0wp6TgMuaDR34d8vgzm828Pf80JbycCA/MB8CkZedoWasAJQvd+SVHrYpuHDidyPqoWNLSzayPiiXyZAIJt9Lv2FZE/h0VFJ8Q/zvk2dnZmR07dhAQEICvry8Ar776Kg4OmUP1jhw5gp2dHSEhIUBmYfDPYcmJiYls2LCBfv36YTQaqVatGidOnODo0aN3nLdo0aIUKVKEnTt3EhERQf369QkODmbbtm2kpqaybds2QkJCMJvNTJkyhcDAQAICAvjpp5+Iioq667UcPXqUQ4cO0a5dO4xGI7Vq1SI+Pp7Dhw9btvmzB+D/MvzNROJ/bevatSsApUuXpm7dumzevPmu+6xfv54ePXoA4OXlRatWrVi/fj3Ozs4YjUZ+/fVX1q9fz9ChQ9m3bx8ZGRls3LiR0NBQyzHatm2LnZ2dZZ+TJ0/e9Vzjx4/H3d09yzJ+/Ph7Xs+Tzmw2M2rsImJOX+LTj3tjY2PDnr3H2Bd5gm6vNrZ2PMnh1qw/iLOTPfWfLn/PbcqU8qJCOW+Gjl7+CJNJTmQ2mxm95Dwxl01M714Km/8f+hJY2pW8zrbY2xqo4+tG29oFWL33BgA3k9J45ZOTvFArP5Ef+rPz/Uo4O9rw5pdnrHgl8jgrU8CeCp72DFsTm2W9jcGAn7cDrg4G3v8ls2Adcz2V11ZcY2iIO1H9C/NLD29OXk/jgy1xdzu0PIEyjh7CfOM6ZGSQfjAK05efYx/2DADm5MxRRoY8eS3b//lvc2IC5qTMdtOS+ZgvXYDkJExfTMW2ak1wckbkT2azmdGLzxJz+RbTe5fBxsbAnuPxRJ5MoGsj77vuU9rbiSndSjP9xws8PSiKpVv/oGm1/Hi46vYRIv81/a8Si78rtv213WzO7ES+Y8eObN2cJCQkhE2bNrF161Y+/vhjXFxc8PLy4uuvv+app56iWLFiLFy4kI0bN/LLL7/g5ubGxx9/zMaNG+96PLPZTP78+e9ZcATIkyezR9CECRP4+uuvAZg4cSJ16tQhISGB1NRU7O0z75L5xx9/4OTkhJub2z2Pd7/n5m7bhYWFsX79ejZv3syECRPw9/dn4cKF5MuXD2/v2x+Af30ObW1t7znv47Bhw3jjjTeyrHN0dAR2Zivbk8RsNjN63GKiD8Qwb9Yb5M2bOYRr+44j/H7uD+qEDAYy7whtMqUSVHsAP3w3Ei9PDyumlpzk25V7afFMIHZ2tn+7XVpauuZQlL9lNpsZ8815ok8nMbdvafI63/s19dcpds5eTcGUaqZj/YIYDAYc7Gxo+3QBun8a8whSS06VlmG2zJN4ZxucuZHZduyPNLzz2tKofGZxxyuPLS0quTBrVzyD6mpYvdyFOeP2v+PjyLh8EZvyFck4fxYg89+XLkBi5hx4GRfP3/04uou4/D+z2cyYr84SHZPI3AHlyeucWbrYfiSO36+mUPfNzNFzKWkZmFIzqPlGFN+P9MXL3YEGxnw0MOazHKvN+N9oEVzgrueR3EdvI4+Oeig+wYKDg4mOjubIkSMAzJkzh5SUFAB8fHxITU3ll19+AeCXX37hxInMm1rkyZOHkJAQJkyYYDnWhQsXOHfu3F3PExISwsKFCylQoICl0FevXj3Gjh1r6QEZGxtLwYIFcXNzIz4+nnnz5ln2d3Nz4+bN20O8fHx8cHNzY+7cuZZ1J06c4Pr1rHNLAQwdOtTSK7NRo0a4uLgQHBzMzJkzLdt89tlnhIWFZSkG/nns06dPs2XLFurUqQNA3rx5s2QJCwuzHOvq1assX76chg0bWtoWL16Mh4cHrq6uhIWFMWLEiCzDnR+Eo6Mjbm5uWZbMgqL8rzHvLmZf5AnmzByAu/vtu1G+0qkha38cy8ql77By6Tv0e/05SpUsxMql71Ag/70LyiJ/der0VSKjf6f1c1mHOycmmVj2/T7i4pMxm80cPXGJz+b8Qu2a5ayUVHKCsd+cZ9+pRGa/Xhp3l9vf88YlpfPLoTiSUzJIzzCz/Wg8X2+9Rrgxs5hT2tsRF0cbFm++Rlq6mYRb6Xy77ToVi6l3j2RKTMlg+cFE4m5lYDabOXY1lRk74qld0pHzcWn8fCyZxJQMMsxmIs+bWLgvgdolM7/krFTInisJGaw/nkyG2cz1pHS+P5xERS97K1+VPC7sw5pmzocI2Fb0w/HlHqRuWmNpT/lhKU6v9MZQoCCGAgVx6tyLlJXf3G5f8TWObTpi8CwEjo44dn2dtN3bIDnpkV+LPJ7GfnWWfScTmN2/PO5/6V34Spg3a8b6seIdX1a840vf5oUpVciJFe/4UiBv5nvUgdOJls/G6T9e4GZSmgqKIg+Beig+Idq2bYuz8+0/MqZMmUJISAhz5syhZcuWODg40LhxYwoUyHyjdXR05Ouvv+a1114jIyODqlWr4uPjg4eHBwCLFi3ijTfewM/PD4PBgKurK59//jlFixa949z169fn+PHjtGrVyrKuXr16jB8/njFjxgDw8ssvs3LlSnx8fPD09KROnTqcOZM5bCsgIIBKlSrh5+dH6dKl+f777/nxxx/p378/U6ZMIT09nYIFC7J48eJsPRcLFiygb9++fPHFF5jNZsqXL2+5Ycqf0tPTCQwMJDExkY8//piSJUsCMHDgQBo2bIiLiws///wzH3/8Mb169cLf3z9zvr633iIoKAiAatWqcfPmTRo0aABAw4YNef311y2P5eE4f+Eai7+OwMHBjtCGQy3rmz0bxJiRHcmT5/b/Azc3F+zsbPH21pxjkn1Lv99HNWMJShbP+oupwWDgx7XRvP/xGlJS0smfz5XwUF/69gi9x5HkSXf+egqLt1zDwc5AgxG3b17QrHo++j3rzfRVl3njcuZnYZH8DgxtVZjGVTwAcHW05bMepZi88gIf/XgRG4OBKqVdmdCxmDUuRR5DBgP8+Fsy7/9yk9R0yO9iQ3g5Z16vlZfryRnM35fA2z/HkmEGL1dbOgTmoVuNzAJRUXc7PngmH9O2xzNsTSyOdgZqlXBkWH31TpRMDi+8hPOwcWBrS8bVy5iWLSJl0WxLu2n2dAzu+ci7ZC0AKWtWYpr32e32Lz/H4OZBnkU/AJC+dyfJowY92ouQx9b5ayYW/3I18/Nx+O15/JsFFWB0hxLk+UtvfjcXO+xsDXjnc7Csm7LiHPtjEjFgoJavG1++4YOL49+PKhGRB2cw/zl+VeR/xMfHkzdv5nwnu3fvpnnz5pw8eRIXFxcrJ3u4DAYDsbGxluLpYy/17vM7ivxr9nUh7pv7byfyT7i1wbyujbVTSC5laPgNGV+omC8Ph033jdysUdbaMSSXct91AnNEB2vHkFzKUH+RtSM8dDeq5bz3Z489J6wd4R9RD0W5p2XLljFlyhTMZjN2dnYsWLAg1xcTRURERERERETk76mgKPfUuXNnOnfubO0Yj5w67YqIiIiIiIiI3JtuyiIiIiIiIiIiIiLZph6KIiIiIiIiIiKS4xnUbe6R0VMtIiIiIiIiIiIi2aaCooiIiIiIiIiIiGSbhjyLiIiIiIiIiEiOZzAYrB3hiaEeiiIiIiIiIiIiIpJtKiiKiIiIiIiIiIhItqmgKCIiIiIiIiIi8pgbNWoUBoMhy1KhQgVL+61bt3jttdcoUKAAefLk4fnnn+fy5ctZjnH27FmeeeYZXFxc8PLyYvDgwaSlpT1wFs2hKCIiIiIiIiIiOd8T0G2uUqVKrF+/3vLYzu52aW/AgAH89NNPfPvtt7i7u/P666/TqlUrfv31VwDS09N55pln8Pb2Ztu2bVy8eJGXX34Ze3t73nvvvQfKYTCbzeb/5pJERERERERERESsIy64nLUjPDDHiIOYTKas6xwdcXR0vGPbUaNGsWLFCqKiou5ou3nzJp6enixevJjWrVsDcOTIESpWrMj27dupWbMmq1ev5tlnn+XChQsUKlQIgBkzZjBkyBCuXr2Kg4NDtnOrh6JITmfeZe0EklsZakD6NmunkNzKthbELbV2Csmt3FrD1S+snUJyK8/umM9NtnYKyaUMRQfBjcXWjiG5lceL1k4gdzF+/HhGjx6dZd3IkSMZNWrUXbc/fvw4hQsXxsnJieDgYMaPH0/x4sXZu3cvqamphIWFWbatUKECxYsXtxQUt2/fjr+/v6WYCNCoUSN69erFoUOHCAwMzHZuFRRFRERERERERCTHMxisneDBDRs2jDfeeCPLurv1TgQICgpi3rx5+Pj4cPHiRUaPHk2dOnU4ePAgly5dwsHBAQ8Pjyz7FCpUiEuXLgFw6dKlLMXEP9v/bHsQKiiKiIiIiIiIiIhYwb2GN99NkyZNLP8OCAggKCiIEiVK8M033+Ds7PywIt7VEzBdpYiIiIiIiIiISO7i4eFB+fLlOXHiBN7e3qSkpHDjxo0s21y+fBlvb28AvL2977jr85+P/9wmu1RQFBERERERERERyWESEhI4efIkTz31FFWrVsXe3p4NGzZY2o8ePcrZs2cJDg4GIDg4mAMHDnDlyhXLNuvWrcPNzQ1fX98HOreGPIuIiIiIiIiISI5nsMmBkyg+gEGDBtGsWTNKlCjBhQsXGDlyJLa2trRv3x53d3deffVV3njjDfLnz4+bmxt9+vQhODiYmjVrAhAeHo6vry8dO3bk/fff59KlS7z99tu89tpr2R52/ScVFEVERERERERERB5z586do3379ly7dg1PT09q167Njh078PT0BGDKlCnY2Njw/PPPYzKZaNSoEZ9++qllf1tbW3788Ud69epFcHAwrq6udOrUiTFjxjxwFhUURUREREREREREHnNff/3137Y7OTkxffp0pk+ffs9tSpQowapVq/51FhUURUREREREREQkxzPoTiGPjJ5qERERERERERERyTb1UBSRXO/y5euMHvMle/ccAwPUrOnLyBGdyJ/fzdrRJAdauGg9y1f8yrFj56hbx59Pp/XN0v7t0l+YNWcNly9fJ3++vAwf9iJhDapYKa3kJIF1R2d5nJKSRulSnvzwVeZrbOykH1gf8RvxibdwdXGgcQN/BvdthIO9fp2Tu1u4LJLlqw5x7NQf1K1Zkk/Ht7C0JSSaGDlpPZu2ncLJ0Y4Ozxt5rXOwpf3gkcu8O3UjR0/+QT53Z/p0CaZFk0pWuAp5XC1ccYjv1h7jWMx16lYvxvSx4Xds88f1JJ7pspSnvFxZ8cXzlvXvfLiF3fsvcub8TYb2qkmn5/0fZXTJgS5fiWP0pFXsjTqb+ft8tVKMHNyU/PlcGTt5Fet/OUp8wi1cXR1pHOrL4D4NcbC3tXZskVxNPRTlP1eyZEl8fHwwGo0YjUa6du36r443atQoDAYDW7ZssaybNm0anTt3/kfH++ijj7h06VKW4/fv3/+++3355ZeEhYVZHp87dw6DwcC8efMs6yZMmEDHjh3/k1zy3xk95ksANm6cwob1H2IypTJu3AIrp5KcysvLg949mtHmhbp3tC35JoI589YyZXJPIvfM4Juv38GnfFErpJScKHLzyCxL6VKePBMeYGl/sXUQq5f2Z1/ECFYu7sOR4xeZNX/L3xxRnnReBfPQu1MQbZrdWawZO2UjN+JuEbGsG4umt+Xb7w+wYvUhAOLib9F98HKaN/Jl9+rX+HDUM4z9aCN79p971JcgjzGvAi706hDIC00r3HObsZ9so2LZAnesr1A6PyP7PU1ABa+HGVFykdGTMud727iyPxu+64cpJY1xH6wB4MXnq7P6m9fYt2kYKxf25Mjxy8xa8Ks144o8EVRQlIdiyZIlREVFERUVxaxZs7K9X1pa2l3XlyxZkiFDhvyrTBkZGWRkZPzjwl1ISAjbt28nJSUFgE2bNhEUFERERIRlm02bNhEaGvqP8qmg+PD8/vtVmjQOwtXViTx5nGnaNIhjx3+3dizJocIbViMsrAr5PPJmWZ+ensHHn3zHW8NexNe3BAaDgYIF3SlWTH8syYOLPvQ7J2Ou0vLZ271by5TywsXZIfOBGWwMBs78fs1KCSUnCK9XjrC65cjn7pxlffKtVH7acJT+3Z/GLa8TpYrn56XWgSz96SAAkQcv4GBvS/sWlbG1taFypacIr1eOpT8etMZlyGMqvE4pwmqXJJ+7013bN/x6mpvxJpqHlbujrUOLSgRXKYKDg3qQSfb8fiGWJmGVcHVxII+rI03DKnHs5GUAypTy/MvnoxkbGwNnfr9uxbRiVQZDzltyKBUU5ZFYvHgxQUFBBAYGUrlyZX744QdLW/369enbty/BwcGEh985VAKgefPmpKam8t133921fdKkSVSqVAl/f386dOjAzZs3gczeh88//zyNGjXCz8+PsWPHcuHCBdq2bYvRaCQqKgqAixcv0qxZM3x9fQkNDeX69Ts/gIoXL463tze7du0CICIigiFDhrB9+3YAUlNT+fXXXwkJCSE1NZWhQ4dSo0YNjEYjbdq0ITY2FoBZs2bh6+uL0WjE39+fnTt3MmbMmLvmkv/GK50bs2btLuLjk4iLS+SnH3cQUj/Q2rEkl4mJucgf1+I4fPgMoWGDqBvyBm+PmEtCQrK1o0kOtHTlXuoGl6OQZ9apGb6Y9wuBdUcTHP4eR45f4qU2Na2UUHKymLPXSU1Np2LZ2194VCznydETVwHIyDBjxpxln4wMM0dPXn2kOSXnik9IYcJnOxjVv7a1o0gu8Ur7YNZsOEx8wi3i4m/x088HCald3tL+xZdbCaz/HsGNJ///52MNK6YVeTKooCgPxZ+FMaPRyHfffUejRo3YsWMHkZGRrFy5km7dumEymSzbHzt2jM2bN7Nx48a7Hs9gMDBhwgSGDx9Oenp6lrbVq1czZ84cfv31Vw4cOICrqytDhw61tG/fvp358+dz+PBhRo4cSeHChS09KI1GIwA7d+5k3rx5HD58GC8vLz7//PO75ggJCWHTpk0AbN26lYYNG+Ll5UVMTAy7d+/Gy8uLkiVLMmnSJFxdXdm1axdRUVH4+/vz9ttvAzBw4EA2bNhAVFQU+/bto1KlSowYMeKuuf7KZDIRFxeXZfnrcyj3VqVKea5di6N6jZ7UCOrFzbhEevRobu1YksvcuJkIwLbth1n67UhWLB/NuXN/8N6Er6ycTHKapOQUfvo5mtYtqt3R1r1zPSI3j2TVN/1o93wNPAvkvcsRRP5eUnIqLs722Nnd/lMgbx4nEpMzR2EY/QqTnJzGwmWRpKalszf6POs2nyAhMcVakSWHmfTFTlo2Kk/Jou7WjiK5RJWAYlyLTaR62ERqNJzIzfhb9OhUx9LevVNtIiOGs+rr3rRrVQ3P/HmsmFbkyaCCojwUfx3y3LJlS2JiYmjSpAl+fn60aNGC69evExMTY9n+pZdewt7e/m+P2aBBA4oVK8acOXOyrF+/fj1t27bFw8MDgF69erFu3TpLe9OmTSlUqNDfHrtx48YUKJA5v0twcDAnT56863YhISFERERw9uxZ8ufPT548eahXrx4RERFEREQQEhICwIoVK1i4cKGlqPrVV19ZrrdBgwZ07NiRqVOnEhMTQ5482fuwGz9+PO7u7lmW8ePHZ2vfJ1lGRgZdukykSpVyRO6bSeS+mVSpUo4ur060djTJZVxdMod89ej2DPnz5SV/vrz06PYMmyKirBtMcpw16w/i7GRP/ad97rlNmVJeVCjnzdDRyx5hMsktXJztSb6VSlpahmVdQoIJ1/8fMpjP3ZnPJrbgx3W/Ubv5DD6YsYVWTSvh4Xb3oa0if7Un+iKRhy7TtV1la0eRXCIjw0yXvguoElCMyIjhREYMp0pAMbr0vXNO9DKlPKlQrhBDx6549EHlsWCwyXlLTpWDo0tO0q5dO7p27crBgweJiooiT5483Lp1y9Ke3aLahAkTGDNmDElJSffcxvA/cxBk59hOTrd/Qba1tb3nXI5/zqO4Zs0a6tWrB0C9evXYtGlTlvkTzWYzn3zyiaWoevjwYVatypxIeNmyZUyYMIHU1FSaNm3K119/fd98AMOGDePmzZtZlmHDhmVr3yfZjZuJnL/wBy93bISzsyPOzo50fCmc/ftPcj023trxJBcpVcobR8e//2JEJDu+XbmHFs9Uwc7u7+cWS0vL0ByK8o+UKp4fOztbjpy4PYT5t+NXKF+moOVx1YAifD3jRXaueo3Fn7bjj+uJVA/UTabk/rZHXuD3i3HUbbOImi3nM27aNo7HxFKz5XyuXLv37/Ai93IjLpnzF2/ycpsgnJ3scXayp2ObGuw/dJ7rN+58TWV+PmoORZGHTQVFeSRiY2MpVaoUAAsXLrTMJ/igqlSpQu3atfnss88s68LCwvjmm2+Ii4sD4PPPP7/nXIwAbm5uljkWH1ThwoUpVqwYkydPpn79+gDUqlWLLVu2sH37dksPxRYtWjBlyhRL4TMpKYlDhw6RlpbGyZMnqVatGoMGDaJ169aWORnvl8vR0RE3N7csi6Oj4z+6jidJ/nx5KVGiEIsWrcNkSsFkSmHR4vV4e+cnfz4NFZQHl5aWjsmUSlp6OhlmMyZTKikpaTg5OdC8WTAzZ6/i5s1E4uKSmDl7FQ1CNV+nZN+p01eJjD5L6+eqZlmfmGRi2fd7iYtPxmw2c/TEJT6bs4naNctaKankBGlpGZhMaaSlZ5CRYcZkSiMlNR1nJ3uahvowddavxCeYOP17LAuXRfLCs7fvBn342GVSUtK4ZUrlm++j2RV5jk5tqv7N2eRJk5aegSkljfT0jMzPw5TM19crrf1Z82UbVnzRihVftKJv56qUKubOii9aUcAj80v8lNR0TClpmDPMpKVn7puWnnGfM8qTKr+HCyWK5mfR0l2YTGmYTGksWrobby83HB3sWPZDJHHxt/7/8/Eyn83ZTO2gMtaOLZLr2Vk7gDwZpk6dSuvWrfHw8CA0NJTixYv/42O9++67VKhQwfK4SZMmHDx4kODgYGxsbAgICODTTz+95/59+/alW7duuLi4MG/evAc+f0hICLNnz6Z27cxJpl1dXfH29sbR0ZHChQsDMGTIEEwmE0FBQZYek0OGDKFs2bJ06dKF69evY2dnh6enJ3Pnzr1rrrvNoyj/zKfTBzB+/CLq1u1HhjmDihVL8NmnA6wdS3Koz2b8wLRPV1oeBwR2p0Z1HxZ8OZThQ19kzLgFNAgfjIODPaEhRoYOaWfFtJLTLP1+L9WMJShZvGCW9QaDgR/X7uf9j1eTkpJO/nyuhIdWom+PBlZKKjnBZ1/uYNrc7ZbHAQ2mUsNYlAXT2jLijVBGvL+Oui0/x8nRjg7PB9KiSSXLtguWRrJu8wnS0zMI9CvMl1NfoFBBzUkmt322MJLp8/dZHlduMpfqlZ9iwYfPksfVwbLeLY8jdnY2eHvefv28OmQ1u/dfBGDPgUtM+nwnr71chT6dVLSWu/t0UjvGf7SWus9+SIbZTMXy3nw2uR0GA/z480He/3gdKalpmZ+PIRXp2z3E2pFFcj2D2Ww2338zEXlsmXdZO4HkVoYakL7N2ikkt7KtBXFLrZ1Cciu31nD1C2unkNzKszvmc5OtnUJyKUPRQXBjsbVjSG7l8aK1Ezx0yQ0q3H+jx4zzhiPWjvCPaMiziIiIiIiIiIiIZJsKiiIiIiIiIiIiIpJtmkNRRERERERERERyvP+/hYE8AuqhKCIiIiIiIiIiItmmgqKIiIiIiIiIiIhkmwqKIiIiIiIiIiIikm2aQ1FERERERERERHI8g40mUXxU1ENRREREREREREREsk0FRREREREREREREck2DXkWEREREREREZGcTyOeHxn1UBQREREREREREZFsM5jNZrO1Q4iIiIiIiIiIiPwbpkYVrR3hgTmu/c3aEf4RDXkWyenMe6ydQHIrQzVI/9XaKSS3sn0aEn+wdgrJrVybwbU51k4huVWBLnBhqrVTSG5VuB/ELbV2Csmt3FpbO4HkIiooioiIiIiIiIhIjmfQxH6PjJ5qERERERERERERyTYVFEVERERERERERCTbVFAUERERERERERGRbNMciiIiIiIiIiIikuMZbAzWjvDEUA9FERERERERERERyTYVFEVERERERERERCTbNORZRERERERERERyPINGPD8y6qEoIiIiIiIiIiIi2aaCooiIiIiIiIiIiGTbYzvkuWTJkjg6OuLs7AxAtWrVmDVr1j23P336NEajkRs3bgBgMBiIjY3Fw8PjX2f5+uuv+eCDD7hx4wbu7u44OzvTv39/nn/++X997L8zbdo09uzZw7x58+5oq1+/PmfOnMHd3Z3U1FRKlCjB3LlzKVSoEBEREfTv35+oqKj/5HxffvklCxYsYP369QCcO3eOYsWKMXfuXDp37gzAhAkTOHToEAsWLHjg6/y7n1XTpk2ZMmUKPj4+D3zcP0VERHDr1i0aN278j49xN507d2bdunV4enpy69Yt6tWrx7Rp07C3t3+g4/yXr1W509ChM/jxp23Y299+u5szexiBgeWsmEpyqpSUVMaMW8S27YeJjY2nUKF8dO3ShNbP1wEgISGZkaPnsyliP05ODnR4MZTXejW3cmrJKYaO/JofV0dib29rWTfn0+4EVi4JwNnf/2DMxO/Yf+AsTk72vNy+Dt06h1gprTzuFi7dy/JVBzl28ip1a5bm04mtLG0JiSZGvr+WTb+exMnRjg6tq/DaK09nu10EYOF3B1i+5gjHYq5Rt0YJPh3XBIBrsUm8N/1Xdu+/QEJSCsULu9Onc3UaPF3Ksu+ve35n8hfbOX3uJk955WFo76epW6O4tS5FHnOBdUdneZySkkbpUp788FVfAMZO+oH1Eb8Rn3gLVxcHGjfwZ3DfRjjYP7blDpFc4bH+H7ZkyRKMRuMjO19aWhp2dlmfklmzZjF58mSWL1+Or68vAEePHuX777/P9jEelilTptCiRQsAevXqxeTJk5k0adJ/fp6QkBB69+5NSkoKDg4ObNq0iaCgICIiIiwFxU2bNtGuXbv//NyrVq3618eIiIjgxo0b/3lBEWDw4MH079/fUlCcMWMGffr0yda+j/K18qRr374hbw3vaO0YkgukpWXg6enOvNmDKFbMk/3Rp+jWYwre3vmo/bQfY99dxI2biURsmMy163G80mUyRQoXoMVz+kNcsqf9C7V4a/Bzd6xPT8+g14C5hNX347MpXfj9/DW69P4C70LuNGtSxQpJ5XHnVTAPvTsFs23PGS5dic/SNvbD9dyIu0XEd724FpvEK/2+poi3Oy2a+GWrXQTAq4ALvTtWZdvec1y6mmhZn5Scim+5ggzuEYxXAVcidpzhjbE/s/Sz1pQtmZ/fL9zk9XdW8+GIcOoFleCXnWfoO3INP8xuS7HC7la8InlcRW4emeVxs/Yf80x4gOXxi62DGPh6I1ycHbh+I5F+Q79i1vwt9H5VX7o9iQw2mkTxUclRQ54jIiKyFBgPHjxIyZIl77vf8ePHeeaZZ6hevToBAQFMmzbN0mYwGBg5ciTVq1dn2LBhd+w7atQoPvroI0sxEcDHx4fBgwcDmT0jPTw8GDJkCFWqVGHatGls2LCB4OBgAgMDqVSpErNnz7bs27lzZ3r06EGDBg0oX748rVq1IiUlBYD4+Hjatm2Lj48PtWvX5sCBA9l6XtLS0khISCBfvnx3tHXr1o3JkydbHsfExODt7U1qamq2z1e8eHG8vb3ZtWsXkPlzGDJkCNu3bwcgNTWVX3/9lZCQEBYvXkxQUBCBgYFUrlyZH374wXKccePGUbFiRYxGI0ajkTNnzljaPv30U2rUqEGpUqWYO3euZX3JkiUtPS3r16/PoEGDqFOnDmXKlKFnz56W7S5evEh4eDi+vr6Eh4fTrl07Ro0aRVRUFDNmzGDRokUYjUbGjBkDwIIFCwgICCAgIIBnnnmG8+fPAzBv3jzCwsJo3749/v7+VKtWjVOnTt33Z+Dk5ES9evU4evTofX/+Xbp0oW7duvj5Zf2l3Gw2M2TIEJo3b05SUtJ9zykij56LiyP9+rSkeHEvDAYDxsplCKpRgb37jpOcbOKnVbvo37clbm4ulCrpzUsdGrB02RZrx5ZcIObMFWLOXOW1Hg2xt7eldEkvWj9Xg2+W77B2NHlMhdf3IaxeefK5O2dZn3wrlZ/W/0b/7nVwy+tEqeL5eal1VZb+EJ2tdpE/hdctQ1jt0uRzd8qyvlhhd15tG4i3Zx5sbAyE1ipJqWIeRB2+DMDmXb/jW96TkOCS2NgYCAkuiX8FL1b8fNQalyE5TPSh3zkZc5WWz97+Mq1MKS9cnB0yH5jBxmDgzO/XrJRQ5MnxWHePatu2rWXI88iRI+9aMLuf9PR02rdvz8KFC6lQoQJJSUnUrFmToKAgqlevDoCtrS27d+++Y98rV65w/vx5goKC/vYcN2/epFKlSkycOBGA2NhYtm7diq2tLdevXycwMJBGjRpRtGhRAKKioti0aROOjo7UrVuXZcuW0b59e8aMGYOjoyNHjhwhLi7OkvNeBgwYwKhRozh//jxPPfVUlkLpn1555RW6d+/OoEGDgMyCWYcOHbC3t2f48OHZPl9ISAibNm2idu3abN26lalTp/Lhhx8SExPDxYsX8fLyomTJkuTNm5f27dtjMBg4ffo0NWvW5MyZMyQlJTF58mQuXryIs7MzSUlJ2Njcrmc7Ojqya9cujhw5QvXq1enYseNde++dPHmSTZs2kZqaiq+vL9u3byc4OJi+ffsSHBzM6NGjuXTpEkajkQoVKmA0GunZsyc3btzgo48+AjIL0YMHD2bv3r0UKVKEd999l65du7J69WoAdu/eTVRUFKVKlWLo0KFMnDiRzz///G9fA7GxsaxZs4YBAwZQpUqVv/357927l61bt5I3b17L/iaTifbt21OgQAG+++47bG1t7ziHyWTCZDJlWefo6Iijw99GE2Dlyi2sXLkFT08Pnm9Vj86dm2R5/Yn8UyZTKtEHYnj2mZrExFwiNTWNihVuD9mqWLE4n8/8yYoJJadZ+dMeVv60B8+Cbjz/XHU6d6iLjY0NGRnmzA3Mt7fNyDBz9PhF6wSVHCvmzHVSU9OpWK6QZV3Fcl58Pn97ttpFHtS12CROnonFp0wBIPNLdLM56zbmDDh6SgUgub+lK/dSN7gchTzdsqz/Yt4vfDYngqTkFDzcXRjUp5GVEoo8OR7rv6iXLFlCVFQUUVFRtGzZ8h8d4+jRoxw6dIh27dphNBqpVasW8fHxHD582LJNly5dsn28kJAQ/P39s8zpZ29vz0svvWR5fO3aNV544QX8/PwIDQ3l2rVrHDx40NLesmVLXFxcsLW1pUaNGpw8eRKADRs28Oqrr2IwGHB3d+fFF1/82yxTpkwhKiqKK1eu0LJly7teR61atUhLS2P37t2YzWbmz5/PK6+88sDnCwkJISIigrNnz5I/f37y5MlDvXr1iIiIICIigpCQzO7kMTExNGnSBD8/P1q0aMH169eJiYnBzc2NcuXK8dJLL/H5559z/fp1nJxuf5vZoUMHACpUqICdnR2XLl26a462bdtiZ2eHs7MzRqMxy3P35/V7e3vz7LPP3vNaNm3aROPGjSlSpAgAvXv3ZuPGjaSnpwMQHBxMqVKlLP/+8xx3M2nSJIxGIw0aNKB169Z07tz5vj//F154IUsxEeCZZ56hUqVKTJ8+/a7FRIDx48fj7u6eZRk/fvw9s0mmjh0bsWb1ZLZvm8G747oxf8Fa5s9fa+1YkguYzWbeemcuJUoUIrxhFZKSTLg4O2Jnd/v/cN68LiQm3rJiSslJOrarzZrvhrB9w2jeHdGG+V9tZf7irQCUKuFFkafyMfWzNaSkpHH85CWWfb+LhETTfY4qklVScgouzvbY2d3+MyBvHicSk1Ky1S7yIFJS0xkwdh1N6pfF38cLgFpVi3LgyBXWbz1FWnoG67eeYt/BiyQkplo5rTzukpJT+OnnaFq3qHZHW/fO9YjcPJJV3/Sj3fM18CyQ9y5HkCeCTQ5ccqgcFd3Ozs5S9AG4dev+f6SZzWby589vKUxGRUURExNDp06dLNvkyZMHyLyxyJ/DcdeuXYuXlxdFihSxDPWFzGLUDz/8wOXLly3rXFxcsvR26tmzp2UIcVRUFOXLl8+S9a+FNFtbW9LS0u6a3WDI3th/g8FA27ZtWbNmzV3bX3nlFebOnUtERAQFCxa8Y6jt3c7XunVry3Nx7do1QkJC2L59O2vWrKFevXoA1KtXj02bNrFp0yZCQ0MBaNeuHV27duXgwYNERUWRJ08ebt26ha2tLTt27KB///5cuXKFmjVrsmXL7WGA2X1O/uvn7m7bZvcckDmHYlRUFPv27WPEiBEYDIb7/vz/fL39VWhoKOvWrSMuLu6e5xo2bBg3b97MstxtmL5kValSKfLnd8PW1gajsRzdujVj1Wr1spB/x2w2M2rMAmJOX+LTT17HxsYGFxdHkm+lkJZ2+3MqIT4JV1envzmSyG2VKhYlf748me9XASXo1jmEVT9HAWBvb8unU17ht6MXqNN4DIPeWkyr5tXxcHexbmjJcVycHUi+lUpaWoZlXUKiCVcXh2y1i2RXSmo6fUetxdnRjrGD6lvWly6ejykjwpn25R5qtZzL0lW/0TS0LB5ujtYLKznCmvUHcXayp/7T975hZ5lSXlQo583Q0cseYTKRJ1OOKiiWLl2aM2fOcPXqVYBs3VHYx8cHNze3LPPynThxguvXr9+x7dChQy1Fx0aNMrtIjxgxggEDBnDkyBHLdomJiXfs+1exsbGUKFECg8HA5s2b2b9/f7auLywsjLlz52I2m4mLi+Orr77K1n6Q2UPvXndC7tixI99++y0zZszI0ovx7863dOlSy3NRoEABChcuTLFixZg8eTL169cHMns/btmyhe3bt1t6KMbGxlp69y1cuJDY2Fggc37Iy5cvU6dOHd555x1q165NZGRktq/vfkJDQy13p758+TI//vijpc3NzY2bN29aHoeEhLBmzRouXLgAwIwZM2jQoME9ewY+qH/y8x8+fDitWrUiLCyMa9fuPtzD0dERNze3LIujo37xelA2mqRX/iWz2czosQuJjj7FnJkDyZs3s6BTqpQ3dna2HDn6u2Xb3478TvlyRa0VVXK4/32/KlfGmzmfdmfnxjGs/PoNUlLSqF61tJXSSU5VqkT+zPeqE1cs6347fpnypT2z1S6SHSmp6fQbtZbU1HQ+Gd0YB/usv2eH1S7Fiplt2PX9q8x47xnOnLtJ9cpFrJRWcopvV+6hxTNVsowGuZu0tAzNoSjyCOSogmLhwoV58803qVGjBjVr1iR//vz33cfOzo4ff/yR5cuXExAQQKVKlXj11VdJTk7O1jm7d+/OW2+9xUsvvUS5cuWoVasWffr0Yfr06ffcZ8KECQwdOhSj0cicOXPuOwfjn9555x2Sk5OpUKECTZs2pXbt2n+7/YABAzAajQQEBLB06VK+/PLLu25XuHBhatSowffff0/79u3/8flCQkKIiYmxbOfq6oq3tzdFixalcOHCAEydOpXWrVsTGBhIZGQkxYtnziV28+ZNWrVqhb+/PwEBAaSmpmbpJfpvTZ06lS1btuDr60uHDh0ICgrCw8MDyBxiHhUVZbkpi5+fH5MmTaJx48YEBASwZcsWZs6c+Z9l+ac///79+9OtWzdCQ0PvOeRbHtyq1TtISEjCbDZz4MApZn7xA+HhNawdS3KwMeMWsi/yOHNmD8Ld3dWy3tnZkaZNqjP14++Ij0/i9OnLLFy0gRda17FiWslJVv0cRULCrcz3q8O/M3PuJsIb+Fvajxy7QFKyiZTUNH7ecIBlK3fT69UwKyaWx1laWgYmUxpp6RlkmM2YTGmkpKbj7GRP0wYVmDpzC/EJJk7/fp2F3+7jheaVAe7bLvKntPQMTClppKWbM19jKZmvsdS0dPqP/pnkW2l8Oq4JDg53Fn8OHL1CWnoGCUkpTPtyNzfjTbRsdO9eZyKnTl8lMvosrZ+rmmV9YpKJZd/vJS4+GbPZzNETl/hsziZq1yxrpaQiTw6D2fy/U+KK5DzJycnY29tjZ2fHtWvXqFmzJgsXLsx2MS9HM++xdoLHWoeXxnD06O+kp6fj5ZWf1q3r8WqXZ3RTluwwVIP0X62d4rFy/vwfhDZ8EwcHO+z+0qu5WbNgxox6mYSEZEaM+pJNEftxcnKgw4sNeL13cysmfozZPg2JP1g7xWOlw6vTOXr8IunpGXh5udP6uRq8+nI9y/vVlOmr+XrpdkymVCqUL8zg/s9S1VjKyqkfU67N4Noca6ewqk9mbWXanKzv4TUCi7Fg+oskJJoYMXEtm7adxMnBjg6tq/B6l6ct292v/YlXoAtcmGrtFFb3ybxdTPsy6++hNSoXpk/n6nQcsBJHB1ts/9LTukeHqvR8KbMY9Mqg79n/22UMBgNPVy3K8Ndr4+1557RAT6TC/SBuqbVTPHbe/3gN0Qd/Z+EX3bKsT0pO4bVBCzl89AIpKenkz+dKeGgl+vZogLOTpmq4g1trayd46NJb3X2Kt8eZ7fKD99/oMaSCouQK0dHRvPzyy5jNZlJSUujevTsDBgywdqxHQwVFeVhUUJSHSQVFeZhUUJSHSQVFeZhUUJSHSQXFx1JOLSjaWTuAyH8hICCAqKgoa8cQEREREREREcn1VFAUEREREREREZGcTzNbPTJ6qkVERERERERERCTbVFAUERERERERERGRbFNBUURERERERERERLJNcyiKiIiIiIiIiEjOZ2OwdoInhnooioiIiIiIiIiISLapoCgiIiIiIiIiIiLZpiHPIiIiIiIiIiKS86nb3COjp1pERERERERERESyzWA2m83WDiEiIiIiIiIiIvJvpLfzt3aEB2b79QFrR/hHNORZJKcz77F2AsmtDNUgdbO1U0huZV8Xbiy2dgrJrTxehPMfWjuF5FZF3sB8fJi1U0guZSg3Hq7NsXYMya0KdLF2AslFVFAUEREREREREZGcz8Zg7QRPDM2hKCIiIiIiIiIiItmmgqKIiIiIiIiIiIhkm4Y8i4iIiIiIiIhIzqchz4+MeiiKiIiIiIiIiIhItqmgKCIiIiIiIiIiItmmgqKIiIiIiIiIiIhkm+ZQFBERERERERGRnE/d5h4ZPdUiIiIiIiIiIiKSbSooioiIiIiIiIiISLZpyPNjqGTJkqxYsQKj0WhZV79+ffr370+LFi2sluvfMhgMxMbG4uHhYe0oFgcOHKBfv35cu3aN9PR0nJ2dmTt3Ln5+ftaOJv+xDRv38vHHSzlz5jJ58jjz2mstad8uzNqxJIdJSUllzLtfsW3HYWJjEyhUKB9dX2lE61a1Ldt8u3QLs+at5fLlWPLny8vwoe0ICzVaL7TkKJevxDF60ir2Rp0FA9SsVoqRg5uSx9WRMZNXsW1XDLE3kyjkmZeuLz1N6+aB1o4sj7GF3x1k+dqjHIu5Tt0axfl0bCNLW99RP7Pv4GWSbqXi4eZE6yYV6N2xyh3HOBZznVY9llE3KOv+8mRb+MNJvttwhmOn46hbrRDT3w62tJ04G8e4Gfs5fPIGDvY2hAQ9xfBuATg7Zf7pmZCUysjpkUTsuoSToy0dnilN7/YVrXUp8hhauHQvy1cd5NjJq9StWZpPJ7aytCUkmhj5/lo2/XoSJ0c7OrSuwmuvPJ3tdnkC2BisneCJoYJiLpaWloadnX7Ef6d9+/aMHTuWli1bAvD777/j6Oj4SM6dkZEBgI2NOgo/bJu37Gf06LlMer831apVICEhmT+u3bR2LMmB0tIy8PR0Z97MNyhWzJP90afo1utjvAvlo/bTlVjy7WbmzV/HlEndqVihGNeuxZOcbLJ2bMlBRk9aBcDGlf0xm80MGrmccR+sYdxbzfAskJd50zpSrEg+9h88T7cBi/D2cqN2zTJWTi2PK68CLvR+qQrb9p7n0h+JWdpee7kqpYp64OBgy4XL8XQduooi3nl4rmF5yzYZGWbe+eAXAv28H3V0ecx5FXCiV9sKbIu6wuVryVnaBk3aTWDF/Hwx+mkSklLpOXobn359hIGdM7+wHztjPzfjU9g0tzHXbpro8vZWCnu50KJBCWtcijyGvArmoXenYLbtOcOlK/FZ2sZ+uJ4bcbeI+K4X12KTeKXf1xTxdqdFE79stYvIf0eVjBwoPj6ebt26UaNGDQICAujevTspKSlAZk/Gvn37EhwcTHh4OPPmzSMsLIz27dvj6+tLrVq1OHz4MC1btqRixYqEh4eTkJAAQEJCAl26dMHPzw8/Pz9Gjx5tOee4ceOoWLEiRqMRo9HImTNnAOjQoQPVqlUjICCAZ555hkuXLj3w9SxYsICAgADLMc6fPw9AamoqvXv3pnz58tSsWZOBAwdSv359AC5dukRISAhVq1alUqVKvP7665YC3V+v2d/fn2rVqnHq1Km7nvvcuXMUKVLE8rhYsWJ4eXkBcPHiRRo1aoSvry9hYWG0a9eOUaNGATBq1Cj69+9v2W/atGl07twZyOz1WLt2bapUqYKvry/jxo2zbDdq1Cief/55GjVqhJ+fHxcvXmTt2rXUrl2bqlWrUqNGDTZt2vTAz6H8valTl/Ja71YEBflia2uDu7srZUoXtnYsyYFcXBzp9/pzFC/uhcFgwFi5DEHVfdgbeYL09Aw+nraSt4a2w7dicQwGAwULulGsmKe1Y0sO8vuFWJqEVcLVxYE8ro40DavEsZOXcXF2oF+PEIoXzZ/52vMvSlDVkuzdf9bakeUxFl63NGG1S5HP3emONp/SBXBwsAUyR5HYGAycOZ/1y7b5yw9Qung+agQ89UjySs4RXqsIYcGFyefmcEfb75cSaRZSHAd7G/K7OxIa9BTHzsQBkHwrjVWbz9GvYyXc8jhQqkheXnq2DEvXnXnUlyCPsfD6PoTVK08+d+cs65NvpfLT+t/o370ObnmdKFU8Py+1rsrSH6Kz1S4i/y0VFB9Tbdu2tRTvjEYje/bssbQNHDiQOnXqsGvXLvbv309GRgZTp061tB87dozNmzezceNGAHbv3s3EiRM5fPgwZcqUoVmzZsyYMYPffvsNBwcHvvzySwDGjh2LyWQiOjqanTt3smLFCpYsWUJsbCyTJ09m3759REVFsW3bNgoVKgTARx99xJ49e4iOjqZOnTqWglt2HTx4kMGDB7N69Wqio6OpVasWXbt2BeCLL77g+PHjHDp0iC1bthAdffuDwMPDgx9++IG9e/cSHR3N6dOn+eabbyztu3fv5r333uPAgQOEhYUxceLEu57/nXfeISQkhAYNGvDWW28RGRlpaevbty81atTg8OHDfPnll2zYsCFb11SyZEk2bNjAvn372Lt3L8uWLWPHjh2W9u3btzN//nwOHz6MyWRi1KhRrFq1ir1797J48WJefPFFTKY7ezSZTCbi4uKyLHfbTrJKSrrFoUMxXL58nUaNBvJ07d707TeVK1dirR1NcgGTKZXogzH4lC9KzOlL/HEtjsO/nSU0fCh1Gwzm7ZHzSUhIvv+BRP7fK+2DWbPhMPEJt4iLv8VPPx8kpHb5O7YzmdKIPnQen7KFrJBScotRH22hcpPZ1G+3iKTkVFo28rG0nb8Uz/zlB3mzR00rJpScqEurcqzccJZbpnSuxt5i3fYLhNTI7OUacz6B1LQMKpZ2t2xfobQ7x2I0ckTuL+bMdVJT06lY7vZnX8VyXhw9eSVb7SLy31JB8TG1ZMkSoqKiLEu1atUsbStWrGDSpEkYjUYCAwPZsmULJ06csLS/9NJL2NvbWx4HBwdTvHhxAKpVq0b16tUtBcHq1atz/PhxANavX0+3bt2wsbHB1dWVl19+mXXr1uHm5ka5cuV46aWX+Pzzz7l+/TpOTpnfdC9evJhq1arh5+fHrFmziIqKeqDr3LRpE40bN7b0EuzduzcbN24kPT2dDRs2WK7F3t6eTp06WfbLyMhgyJAhVK5cmcDAQPbs2ZPl3MHBwZQqVcry75MnT971/AMHDuTUqVN07dqV69evU6dOHZYsWQLAhg0bLMXNIkWK0Lx582xdU3JyMl27dsXf35+aNWty5syZLNmaNm1qef7XrFnDiRMnqFu3LkajkdatW2NjY8PZs3f2OBk/fjzu7u5ZlvHjx2cr05MsLi4Rs9nM+g17mTNnKD+v/RAHB3sGv/mZtaNJDmc2m3lrxJeUKF6I8LBAbtzMHE64bcdvLF3yFiuWjuDc+T94b+ISKyeVnKRKQDGuxSZSPWwiNRpO5Gb8LXp0qpNlG7PZzFvvfU+JYgUID9G8Y/LPjepfh8ifurD0s1Y8F14e97y3p30ZMWUzfTtXu2vvRpG/U7dqIfYdvkbVF76nTsdVPFXQmecblgQgKTkNFydb7Gxv/xnq5mpPYnKaldJKTpKUnIKLsz12drdfP3nzOJGYlJKtdnlC2OTAJYfKwdGfXGazmWXLllmKjUePHuXzzz+3tOfJkyfL9n8W/wBsbW3veJyWdvcPcIPBYNlmx44d9O/fnytXrlCzZk22bNnC1q1b+fjjj1m1ahUHDx7kww8/5NatWwBMmDDB0rty7dq12b62P895v7YPP/yQK1eusHPnTqKjo3nxxRct577bNd/rGgEKFSpE+/bt+eyzz3j77bdZtGjRfc9vZ2dHenq65fFfzz18+HAKFixIZGQk+/fvp379+lna//rzMZvNNGzYMEvx+Pz585QrV+6O8w8bNoybN29mWYYNG3bP65JMLi6Zr4WOHRtRpIgnrq5O9O3zPDt3HiYp6dZ99ha5O7PZzKixi4g5fYlPP+6d+UWMS+Yf4j26NiF/vrzkz5eXHl2bsOkXDbOR7MnIMNOl7wKqBBQjMmI4kRHDqRJQjC59F1i2MZvNjHr/J2LOXOPTSW2x0cTj8i/Z2Bjw9/HE1dmeiTMyR1SsXHeM9HQzLcLv7B0r8nduJqTwyttbeaFRSSKXPcfOr5/F2cmONz/YDYCLsx3JpnTS0jMs+8QnpeHqrHnf5f5cnB1IvpVKWtrt109CoglXF4dstYvIf0sFxRyoRYsWTJw40VIki42NzdJD8Z8KCwtj9uzZmM1mEhMTWbBgAeHh4cTHx3P58mXq1KnDO++8Q+3atYmMjCQ2Npa8efNSoEABUlJSshQ1hw4daimQNWp07zsChoSEsGbNGi5cuADAjBkzaNCgAba2toSGhrJ48WJSU1NJTU1l/vz5lv1iY2Px9vbGycmJS5cu8e233/6ja/7uu+9ITU0FMm9iEx0dTZkyZSzPx5w5c4DM+RS///57y35ly5Zlz549pKenk5SUxLJly7JkK1q0KHZ2dhw9epR169bd8/yNGjVi/fr1WYZz79q1667bOjo64ubmlmV5VDeQycnc3FwpXLjAXdvM5kccRnIFs9nM6HGLiT4Qw5wvBpA3rwsApUp64+hof5+9Re7tRlwy5y/e5OU2QTg72ePsZE/HNjXYf+g8128kZb72Jq0i+tB55nz8EnnzqOeY/HfS0jM4cy5z2On2fefZ/9sVglp8SVCLL5m1ZD+bd53l6efn3+co8qQ7ezERU0o6HZuXwcHeBvc8DrRtXIpfdmfOs16qSB7sbG048pchzr+dukH5km7Wiiw5SKkS+bGzs+XIidtDmH87fpnypT2z1S4i/y0VFHOgKVOm4OzsjNFoJCAggAYNGnD69Ol/fdx33nkHe3t7/P39CQoKonnz5rRp04abN2/SqlUr/P39CQgIIDU1lU6dOtG4cWN8fHzw8fGhTp06GI3G+56jUqVKFC1a1LL4+fkxadIkGjduTEBAAFu2bGHmzJkA9OjRg5IlS+Lr68vTTz9NmTJl8PDwAKBfv37s3LmTSpUq0bFjR8LCwv7RNS9fvhw/Pz8CAgKoXLkyjo6OlpvRTJ06lR07duDr68vLL79MaGioZb9WrVpRuHBhKlasyLPPPktgYKCl7e2332bu3LkEBAQwdOjQLPv9r7Jly7J48WJ69OhB5cqVqVixIh999NE/uha5tzZtQlm4cC2XL1/n1q0Upk//juDgSri66o9xeXBj3l3MvsgTzJk5AHd3V8t6JycHmj9bk5mz13DzZiJxcUnMnL2GBiFG64WVHCW/hwsliuZn0dJdmExpmExpLFq6G28vN/J7uDBm0ir27f+dOZ90xN3N+f4HlCdeWnoGppQ00tIzyMgwY0pJIyU1nfOX4lm7+RSJyalkZJjZd/ASC5YfpHb1ogAM612L1fPasHLm86yc+TztmlUkyFiY5TOet/IVyeMi87WVTnqG+f9fW+mkpGZQumheXJzsWPzTKdLSM0hISuXbtaepWNoDAGcnO5rWKcrHCw4Tn5jK6fMJLPrhJK3DS1r1euTxkpaWgcn0/+9dZjMmU+Z7l7OTPU0bVGDqzC3EJ5g4/ft1Fn67jxeaVwa4b7s8IWwMOW/JoQxms/royOMrPj6evHnzkpqaSocOHahatSpDhgyxSpZBgwaRJ0+eB77xzENn3nP/bZ5w6ekZTJq0mO9WbAEgKMiXd97uhKenh3WDPe4M1SB1s7VTPFbOX7hGaPhQHBzssLO1taxv9mwQY0Z2JCnJxJh3F7F+YxQO9naEhhgZ+mYb8qh4fSf7unBjsbVTPHZOnLrK+I/WcvC3C2SYzVQs783QfuG4uzkT2mIqDg5Z5x5r1jiAMUOftWLix5THi3D+Q2unsLpP5u1h2vy9WdbVqPwUE4aEMHj8Ro6duk6G2YxXAVeea1iOHi8G3nUY/Sfz9vDbyWt8Ovbeo06eKEXewHz8yZ525pNFh5n+1ZEs66r7FWTBhLrsO3yNyfMOcvxMHDY2BqpUzM/w7pUp5p35JVxCUiojpkUSsfsSTg62dHi2NK+113ywfzKUGw/X5lg7hlV9Mmsr0+b8mmVdjcBiLJj+IgmJJkZMXMumbSdxcrCjQ+sqvN7lact292t/4hXoYu0ED11618D7b/SYsZ0Vef+NHkMqKMpjLSgoCJPJxK1bt6hduzaffPIJzs7W6ZWhgqI8cVRQlIdJBUV5mFRQlIdJBUV5iFRQlIdKBcXHUk4tKGr2W3ms7dy509oRLCZPnmztCCIiIiIiIiIiVqeCooiIiIiIiIiI5Hw5d0rCHEc3ZREREREREREREZFsU0FRREREREREREREsk1DnkVEREREREREJOez0ZjnR0U9FEVERERERERERCTbVFAUERERERERERGRbFNBUURERERERERERLJNcyiKiIiIiIiIiEjOpzkUHxn1UBQREREREREREZFsU0FRREREREREREREss1gNpvN1g4hIiIiIiIiIiLyb6T3qmrtCA/M9rO91o7wj2gORZGczrzL2gkktzLUgNRfrJ1Cciv7enD9S2unkNwqfyfMZ96zdgrJpQwlhmM+PNDaMSSXMvh+AJc/tXYMya0K9bZ2godP43AfGT3VIiIiIiIiIiIikm0qKIqIiIiIiIiIiEi2aciziIiIiIiIiIjkfDYGayd4YqiHooiIiIiIiIiIiGSbCooiIiIiIiIiIiKSbSooioiIiIiIiIiISLZpDkUREREREREREcnxDOo298joqRYREREREREREZFsU0FRREREREREREREsk1DnkUk1zt79jJjxs5n//4TODk58vLL4XTr+qy1Y0kOlJKSyph3v2Lbjt+IjU2gUCEPur7SiNatagNw4uQFxr73NYd/O4uDvR2hIZUZPqQNzs6OVk4uOcXZc7GM+WAt+w9dwMnRjpfbVqfbS8GW9m+/j2LWoh1cvhJPfg8Xhg9oSFjd8lZMLI+zhSt/47ufT3LsdCx1qxVh+uhQS1vHQWuI+u0q9ra3+xesntuSQgVcAJg6L5L1285y6uxNOjxXgeG9ajzy/PJ4W7gqhu82nuPYmXjqVvFk+rDqlraDJ2/w3qxDHD0TTz43B15vW54WIUUt7aHdN3DtpglbGwMAtjYGdi9q/MivQR5fC5ftZ/mawxw7dY26QSX49L1mlraPZm1nw5aTnDx7nQ4tK/NW33pZ9jWbzXyxaA9Lvj/A9RvJFCqYh/ffbkRlX+9HfRliDf//viIPn3oo/kdKlixJVFRUlnX169dnxYoV/+l5OnfuzEcfffTA+90t359at27NvHnzAFixYgU7duz422OZzWamTZuGv78/FSpUoEqVKoSHh7Np06YHzgVw8uRJqlSpQmBgIHPnzqVr167ZOtbfPb+DBg1i1KhRd20rWbIkPj4+GI1GfH19mT59+j3P8XfP2/9mKVWqFEaj0bKsXbvW0r5nzx6aNGnCK6+8wrhx4yzrFy5ciMFg4PTp05Z1jRs3Zvbs2fc9p2RPenoGvXpPoZJvSbb9Op0v5w1j0aL1/PDDNmtHkxwoLS0DT0935s0cwL6dHzNh3CtMnLyUrb8eAmDgm7MoVbIQv/4ymR++G8mRo7/z6YyfrJxacor09Ax6vfktlXy82baqH19O68CipXv5YW3m62vJikjmLN7JlDEtiNw4iG9md8KnjKeVU8vjzKuAC71eDOCFJuXu2j7o1ars+76DZfmzmAhQvHBeBnetSmhwsUcVV3IYr3xO9HqhHC80zPoaiUtMpcfYXTSvV5RdCxrxwRuBjJt1kL2Hr2fZ7oM3qrDvqybs+6qJiolyB6+CrvR+uQZtnq10R1uJIu4M6lWb0Fql77rvlJnbiNgew9wPWxG5tjdzPmzJU155H3ZkkSeOCoqSRXYKiu+88w6LFy9m9erVHDlyhH379vHuu+9y9OjRBz5feno6S5cupXr16kRGRvLKK68wa9YsQkJC/uklZMuSJUuIiopi9erVDB8+nOjo6CztGRkZZGRkPNAxp0yZQlRUlGVp1KiRpe27776jRYsWhISEEBERYVm/adMmgoKCLOvS0tLYunUroaGhyH8jJuYiMTEXee21ltjb21G69FO0fr4u33zzzwrg8mRzcXGk3+vPUby4FwaDAWPl0gRV92Fv5AkAfj/3B82frYmDvR358+cltH5ljh0/b+XUklPEnL1GzNlrvPZqHeztbCldogCtm1Xmm5WRpKdn8PHMzbw1oCG+Pt4YDAYK5s9DsSL5rB1bHmPhtUsQ9nRx8rk5PfC+LcPLUrdGUVxd7B9CMskNwoOfIizIm3xuDlnWRx65joO9De0al8DW1kDl8vloWNObb9eftVJSyYnC65UlrE4Z8rk739HWsokv9WqWJI+rwx1tN3cqxk4AAQAASURBVOJuMfebSN4b2pASRT0wGAwU8XbDq6Dro4gt8kRRQfER+d+ehX/tQTdq1CjatGlDs2bNKF++PM8++ywHDx6kUaNGlC9fnvbt22cpbkVHR1OrVi3Kly9Pp06dSE5OBuDKlSu0atUKf39//o+9+46v8fz/OP7KToQk9t47iMQIMYMIqmZjlNqb1qyvUasoLUpR1Kyq1VoxW8SsLZGYFaVW1aoiIZKTcX5/5NfTpoJEcZx4Px+P+/Fw7use7/skzjn5nOu67tKlSzN37txks5w9e5YqVapQqlQpmjZtSkREBABbtmxhw4YNTJ48GU9PTxYsWPDYvg8ePGDKlCksWrSIPHn+HrZQsWJFevbsCcCNGzeoVasW5cuXp1SpUrz//vum/IsXL6ZWrVq88847lClThvHjxzNt2jTWrl2Lp6cnZ86cSdLzMDIykm7duuHt7Y2Hhwfdu3fHYDA8luv69evUq1cPd3d3/Pz8+O2331L0c8mfPz/Fixfn3LlzjBkzhnfeeYd69epRunRprl+/nmTbmTNnUrVqVW7fvp2iY//Thg0baNKkCbVq1eLgwYOma9i3bx/Dhg0zFRSPHj1KlixZKFiwYKrPIcn7+/+O8R/rjISfu2qeQJKmxMTEcuLURYoXS3w97NzRn8ANB4mONnD7j/ts3xFGLV8PM6cUS5GQ8P+vU8Z/vV6dv8XFK3f448+HnAm/Qe1ms6jReCYjJm7hwcMYM6WVtGDO8hNUemcFzXptJHD7BXPHkTQiISHJy5hp3bnLEUnWjZ5zgsrtt9JqyD72hNx8hQklLTt++jr2djZsDgqnWrMF1G65iMlz9mGIjTd3NJE0R3MovkCtWrXCyenvb1DOnz+f4n2Dg4MJCQnBzc0NX19funbtyvbt23FycqJChQr88MMPNGzYEIDDhw9z6NAh0qVLR9OmTZk2bRrDhw/ngw8+oHjx4qxdu5Zbt25Rvnx5ypYtS+XKlZOcq127dvTs2ZMuXbpw8uRJKlSoQJs2bXjrrbdo3Lgxnp6e9O/fP9mcZ86cwcHBgRIlSjzxWtzc3Ni4cSPp06cnPj6eJk2a8P3339O6dWtT/tDQUIoXLw4kDqG+d+9eskO5Bw0aRPXq1Zk/fz5Go5Fu3boxffp0Bg8enGS7vn374u3tzdatW7l27Rqenp5PzfiXkydPcvbsWcqWLcupU6c4ePAgoaGhZM+e3bRNQkICAwcO5OLFiwQFBSX5Gf/TgAEDkgyzXrNmDYULF+aXX37BxcWFHDkS5+zImTMnhw8fJn/+/GTKlAl/f3/T9ezateuJvRNjYmKIiUn6h6ODgwMOj38xJ/9QsGBOcufOwvQZa+jX9x0uX77JmrV7efDgkbmjiYUzGo18NGoJ+fNlw9/PC4Aa1UozfORiylXqS3x8An61PXmnWVUzJxVLUTB/ZnLncGP6/L3061aDy7/dZc2m4zyIiuFeRDQAB45eYvXXnQAYODKQCV8EMeGjhuaMLRZqYOdyFMnvhqODLYfCrjNg/B6cnWypWy2/uaOJhfMsnpFHMfEs3XKRVv75OfnLPYIO3yCz698fWif196RUYTdsrGHrwRv0nRTC0vFVKFPUzXzBJU24FxnDg4cGLv12j63L2nM/MpoeQzaQLp0dfTpUMnc8eRXUbe6V0VP9Av01jPavpUKFCine19/fn4wZM2JlZUW5cuXw9fUlQ4YM2Nra4uXlxS+//GLatmXLlmTIkAEbGxu6dOlCUFAQAEFBQfTo0QOAbNmy0bx5c1PbXyIiIggLC6Njx44AlClThmrVqqXqOq2s/p7k9NGjR6a5CP38/IDEAtyQIUMoW7YsXl5eBAcHJ5mHsEqVKqZi4rMEBgaaekx6eXnx008/JVuo3bFjB127dgUgd+7cNG7c+KnHbdWqFZ6envTo0YNFixZRtGji3EJvvfVWkmIiQPfu3YmMjGTNmjVPLCbC40OeCxcuDPw93Pkvfw173r17NzVr1sTJyYls2bJx8eJFdu/e/cTh3hMnTsTV1TXJMnHixKdep4CdnS2zZw3g5zOXqV6jLx8OnkPz5jVwc0tv7mhiwYxGI2PGLefipRvMntEba2tr7t9/SKduU2nxTnXCgr/kyP5pODk5MHjoInPHFQthZ2vD7EkB/HzuJtUbz+TDMetp3tADNxcnnJ0S/xDv0d6HTG7pyOSWjh7tfdi1/5dnHFUkeV7u2cjgbI+drTXVK+SmVcNi/LDnkrljSRqQ0cWeOcMrsmnv71TrtJ3Pvz1L89p5cMvwd0GxgntmnBxssLezoVGN3NSqkJ1tB68/5agiKePslDhNQ9/OlXFOZ0+u7C60D/Bk1/6LZk4mkvaoh+IrYmtrS3z8392so6OjSZ/+74KGo+Pfc9vY2Ng89jguLu6Jx/5ngS8l61OzXd++fdm7dy8A3377Le7u7kRHRxMeHk7x4sVxcnIiLCyM3bt3m3o1Tp06lVu3bnH48GEcHR0ZOHAg0dHRpmP+87qfxWg0smbNGooVS90dLJ917d999x2enp6PrU8uW82aNdm+fTs3btwgV65cqcoBiUXRb775xvS4Vq1aLFiwgPz589OqVSvTObZt28b+/fv5+uuvkz3OsGHDGDhwYJJ1Dg4OwPFUZ3rTFC2ah0WLhpgeT56ykooVn92DVSQ5RqORj8cv58TJX1m8YCAZMiTexODK1dvERMfS/r3aWFlZYe9qS+uWNejWc4aZE4slKVooK4umv2t6PHnWTip65aNgvkw42Otjm7w81rorprxA5UpmYuWnf/fQHzAlhIqlMj1xe/3+yYtSvHAWc0cQeWOoh+IrUqRIEY4cOQLAnTt32LJly3Mfa/Xq1Tx48ID4+Hi+/vprU89APz8/5s+fD8Dt27dZu3YtdevWTbKvi4sLXl5eLFmyBIDTp0+zb9++JO337983PZ4xY4apx12ZMmVInz49AwcOpGvXrly79veNBh4+fGj69927d8mRIweOjo7cuHGDVatWPfe1Nm3alM8++8xUUL17926yPRT9/PxYtCixF9D169fZsGHDc5/z39q1a8eoUaOoXbs2Fy+m7put69ev8+DBA1MPSEgsKB46dIg9e/aYeofWrFmTzz//nNy5c5M7d+5kj+Xg4ICLi0uSJbGgKM9yNvwKUVHRGAxxbNt2lDVr9tKrVxNzxxILNfaTFRwLvcCi+QNwdf17gu9ChXKQLp0Dy1fuJi4ungcPo/l+9U+ULKk7pErKnT1/i6hHBgyx8WzbfZY1m47Tq1M1HB3taFy/NPOXHuJ+xCMiIqOZv/QQdaqn7gs3ebPExScQY4gnPj6BBKORGEM8hth4Ih4Y2HPkNx5FxxEfn8DB0Ous3BSOf/W/hzvHxiXum5BgJD4hcd/YuNTdsE7Str9/v4wkGPn/36/E35Ezv97HEBtPdEw832+7zJFTd2jfKPGOvL/ffsTR03cwxCb+Tv2w/3d2HLlBnUo5zHk58pqJi0sgJiaOuPgEEhKMxMTEmeZBjI2LJyYmjvgEo6ktNi6xLW8uV6pUyMusxUd4FB3LzT8esHTtcepUS/6O0JIGWVtZ3mKh9FX3K9K9e3cCAgIoWbIkhQoVemxew9SoWLEi9erV4/bt2/j4+Jh6Bs6YMYNevXpRpkyZxLm9PvqISpUenydiyZIldOrUic8//5yiRYtSo0YNU1u7du3o2LEjgYGB9OnTxzSM+J8++eQTZsyYQf369YmNjSVLliykT5/eNPy2X79+BAQEUKpUKXLlymUqeD6PadOmMXToUDw9PbG2tsbW1pZJkyZRpEiRJNtNnz6djh074u7uTu7cuV/4XZIDAgJwcnLC39+fjRs3Jjs/47/nUBw8eDCRkZGPDb/OmTMn+fLlw83NzdQjskqVKly8eJEuXbq80NyS6IcfDrNyxU5iDAZKFM/HrFn9KVE8n7ljiQW69vsdlq/cjb29LbXrDjOtb/R2JcaOfo85X77PlGlrmDYjEBtra7y8CvPZJ53MmFgszQ87zrBybSgxhjhKFMnGrE8DKFEkGwDD+/sxdspW6rwzG3s7G2pXL8bQvnXMnFheZ3OWnWDW0r9HMpR9eykVPbIzfYQvs749zsCriaNQcmdPz9AeFalfo4Bp25HTDiS5Ucuy9WdpWrcwnw5O3VQ5knbNWfULs777e9qFsq1+oGKpTHw7vgrfbr5I0KEbxCcY8SyekcVjfcieKXEEVlR0HJ8sOM2VGw+xsbaiQC5npn1YHs/iumu9/G3OkiN8ufiw6bFH3Vl4e+bm2xkBjJy0g3U//mxqW7r2OM3ql+TT4f4ATBlZn5GTd1ClyXzSO9vTuG4JurYp/8qvQSStszIa/30PLhF5UerXr8/48eNTNZ9mqhmPvLxjy5vNyhti95g7haRVdjXhz2+evZ3I88jUAePlCeZOIWmUVf7hGM8MMncMSaOs3D+Hm7PNHUPSquy9zZ3gpUsY7G3uCKlmPdky/6ZXD0WRl+jHH380dwQRERERERERkRdKBUUREREREREREbF8FjwnoaXRTVlEREREREREREQszKeffoqVlZXp3hoA0dHR9OnTh8yZM5M+fXreeecdbt68mWS/K1eu0LBhQ9KlS0e2bNkYPHiw6Wa4KaWCooiIiIiIiIiIiAU5evQoc+fOxcPDI8n6AQMGsHHjRlatWsWePXv4/fffad68uak9Pj6ehg0bYjAYOHDgAN988w2LFy9m1KhRqTq/CooiIiIiIiIiImL5rC1weQ4PHjygbdu2zJ8/n4wZM5rW379/n4ULFzJ16lRq165N+fLl+frrrzlw4ACHDh0CYNu2bZw5c4alS5fi6elJgwYNGDduHLNmzcJgMKQ4gwqKIiIiIiIiIiIiZhATE0NERESSJSYm5qn79OnTh4YNG+Ln55dkfUhICLGxsUnWlyhRgnz58nHw4EEADh48SJkyZciePbtpm3r16hEREcHp06dTnFsFRRERERERERERETOYOHEirq6uSZaJEyc+cfuVK1dy7NixZLe5ceMG9vb2uLm5JVmfPXt2bty4Ydrmn8XEv9r/aksp3eVZRERERERERETEDIYNG8bAgQOTrHNwcEh226tXr9KvXz+2b9+Oo6Pjq4j3RCooioiIiIiIiIiI5bO2MneCVHNwcHhiAfHfQkJCuHXrFuXKlTOti4+PZ+/evXz55Zds3boVg8HAvXv3kvRSvHnzJjly5AAgR44cHDlyJMlx/7oL9F/bpISGPIuIiIiIiIiIiLzm6tSpw8mTJwkLCzMtFSpUoG3btqZ/29nZsWPHDtM+4eHhXLlyBR8fHwB8fHw4efIkt27dMm2zfft2XFxccHd3T3EW9VAUERERERERERF5zWXIkIHSpUsnWefs7EzmzJlN67t06cLAgQPJlCkTLi4ufPDBB/j4+FC5cmUA/P39cXd3p127dkyaNIkbN24wYsQI+vTpk+KekqCCoojls/I2dwJJy+xqmjuBpGWZOpg7gaRhVvmHmzuCpGFW7p+bO4KkZdl7mzuBiOXSOFymTZuGtbU177zzDjExMdSrV4/Zs2eb2m1sbNi0aRO9evXCx8cHZ2dnOnTowNixY1N1Hiuj0Wh80eFF5BUyBps7gaRVVhUg7idzp5C0yrY6RKw2dwpJq1wC4ObsZ28n8jyy98Z4dZK5U0gaZZX3f3BvubljSFrl1sbcCV66hJGVzR0h1azHHTJ3hOei2q2IiIiIiIiIiIikmAqKIiIiIiIiIiIikmKaQ1FERERERERERCyftZW5E7wx1ENRREREREREREREUkwFRREREREREREREUkxDXkWERERERERERHLp25zr4yeahEREREREREREUkxFRRFREREREREREQkxVRQFBERERERERERkRTTHIoi8kbYsTOEGTNWc/nyTdKnd6JPn2a829rP3LHEwhgMsYwdv5wDh37m7t1IsmfPSNfO9QloXg2AL2YEsmNnKBd+vU7bd2vz0bDWZk4slsSrxsdJHhsMcRQqmJWNK/piMMQxdtJGDhy9wN17D8me1YWu7asT0LiCmdKKJVi65jhrfzzDuV/vUKNSfmZPaGRq+2LBQXb8dIELV/6kbbOyfNS3ZpJ9jUYj85YF892Gk/x57xHZs6Rn0oh6lHXP8aovQ15TSwPPsG7bL5y7+Cc1KuZh1ti6j23zx91HNOy8mpzZ0hM4t9lj7ecu/sk7vdZTwzv5/UX+cvNWBB9P3kJI2BWwgsoVCjJ68Fukd3Zg7JQtHDhykbv3o8ieNQNd36tKQGMvc0cWc7G2MneCN8Yb1UOxQIEChIWFJVnn6+tLYGBgqo+VJUsWLl26lKp9Fi9ejKurK56enpQqVYoGDRpw5cqVVJ87pZkvXbqEm5ub6fGVK1coUaIEU6dOTfU5zaFChQrs3r37sfW1atVi6dKlpsfjx4/H0dGR6Oho07oSJUqwY8eOF5Jj06ZN+Pr6ArB79248PT1fyHHl1dn703E+/vhrhg9rR0jwAjZvmoS3t7u5Y4kFiotLIGtWVxYvGMixI1/y6Sed+Gzy9+zbfxqA/Pmy8uGgAGrXKmvmpGKJQveOTrIUKpiVhv4eAMTFJ5A1SwYWz+rEsd2j+HT0O3z2xQ/sO/SLmVPL6yxbFmd6t/em5dulHmvLn9uVD3tVo3aVQsnuO23+AXYfvMjXU5sTurU3i6Y2I2e2DC87sliQbJnT0attWVq8VfyJ24ybeYCSRTIn25aQYGTk1H14lcr+siJKGvLx5C0A7Fzfnx3r+hFjiGP85z8mvj9mzsDiL9txbOdQPh3ZlM9mbGPfoQtmTiyS9j13QfHevXts27aNpUuXsmTJkiSLPFmtWrUICwvj9OnTFCtWjAEDBqRq//j4+Oc679mzZ6lZsyZDhgxh4MCBz3WM10WtWrWSFBp37dqFp6cnhw4dAuD69etcunSJqlWrmimhvG6mT19Nn97NqVTJHRsba1xdnSlcKJe5Y4kFSpfOgX4fNCVfvmxYWVnhWbYwlbyLE3IssajTrGlValYvQ3pnJzMnFUt34vRVLly8TbO3ywGQzsmefj39yJcnc+LvXpl8VCpfiJCwy2ZOKq8z/5pF8KtemIyuj78mNWvgTs3KBUjvbP9Y272IaL7+PpQJQ+uSP48bVlZW5M7hQrYszq8itlgI/+oF8KtagIwujsm279h/mfuRMTT2K5Js+7frTlM4nxsVPdTrVZ7t6u93aeBXCud09qR3duAtv1Kcu3Az8f2xRy3y5cn0/++PeahUvgAhx1PfcUdEUue5CoobN24kX7581K9fn/fff59+/fqZlv79+7/giK/G77//Tvbs2YmKijKta9OmDXPmzAFgw4YNlCxZEg8PD/73v/8l2feXX36hYcOGVKxYEQ8PD7788ssUnbNevXqEh4dz48YNatWqRfny5SlVqhTvv/8+CQkJQGKvxlq1avHOO+9QpkwZjhw5kuQYa9asoWzZsly48ORvYEJCQqhbty7Tpk2jU6dOAMTGxjJ06FC8vb3x9PSkZcuW3L17F4COHTvSo0cP6tSpQ7FixWjevDkGgwGA3Llz8/vvvwPQsmVLqlSpAkBMTAyZM2cmJiaG+Ph4Bg8eTOnSpSldujQffPCBaf9bt27RvHlzypQpQ+nSpZk7d64p54EDB/D09KR06dJ06tSJuLi4ZK/nnwVFg8HAxYsX6datm2nd7t27qVy5Mo6OjgQHB1OlShU8PDzw9vZm//79puN8++23eHh44OHhQcOGDbl27ZrpuenduzdFixbF29ubXbt2JZsjLi6OevXqUaFCBUqVKkWbNm14+PAhkPi7s3z5cgBmz56Nvb29qa127drs3bvX1IN09OjRlC9fniJFirBly5Yn/hzl+URFRXP69EVu3vyTevUGUbVab/r2m86tW3fNHU3SgJiYWE6cvETxYnnMHUXSmNXrQ6jhU5TsWV2SbY+JieXEmd8oXlR/iMuLd/z0deztbNgcFE61Zguo3XIRk+fswxD7fF9sy5sn8oGBT786zJh+yX/Bf+1mJEvWnWZwd+9XnEwsVad3ffhxxxkiH0QTERnN5m2nqFWt2GPbxcTEceL0NYoXUc/XN5a1BS4W6rmiDxo0iM6dO/PgwQPu3bvH3bt3Tcuff/75ojO+UK1atcLT09O0BAcHA5ArVy78/PxMQ2lv3rxJUFAQ7dq149atW3Tq1Ik1a9Zw4sQJihQpwp07d4DEHoPvvvsun3/+OUePHuXQoUPMmzePo0ePPjVHfHw8q1atonz58ri5ubFx40ZCQkI4ceIEly5d4vvvvzdte/jwYSZMmMDJkyfx8fExrZ86dSpffPEFO3fupHDhwsmeJyoqitq1a7NgwQKaNm1qWj958mScnZ05cuQIYWFhlClThhEjRpjaw8LC2LhxIz///DM3b95kzZo1ANSpU4egoCASEhI4fvw49+/fJyIign379lG+fHkcHBxM1x8SEkJYWBgXLlxg2rRpAHzwwQcUL16ckydPsnPnTsaPH8+hQ4cwGAy0atWKKVOmcOrUKd59912OHz+e7DVVqlSJ33//natXr3Lo0CG8vb3x9fU1Ff527dpF7dq1MRgMNG/enNGjR3PixAmmTp3KO++8w4MHDzh16hSDBw/mhx9+4MSJE1SpUoWuXbsCMG/ePMLDwzl9+jT79u3j2LFjyeawsbFh+fLlBAcHc+rUKVxdXZk5cyYAfn5+BAUFAbB9+3YqVKjAnj17iIqK4vjx46af4/379/Hw8CAkJIQvv/zyqT1WY2JiiIiISLLExMQ8cXtJFBHxEKPRSNCOEBYtGsq2rVOxt7dj8P/mmDuaWDij0chHoxaTP182/OuWM3ccSUOiHhnYvO0EAU2Tnx/RaDTy0fh15M+bGf9amr5BXrx7kTE8eGjg0m/32LqsPUtnBrD38CXmLw82dzSxEJPnH6FZvaIUyOOabPvoafvp26EcGV2T790o8m/lPPJy5+5DKvp9hnfdz7gfGU2PDtWTbGM0Gvlowob/f38saaakIm+O5yooXrt2jb59+5IuXboXneel++677wgLCzMtFSr8/WG9X79+zJo1C4D58+fz7rvvkj59eg4dOoSHhwfu7okf2rt06YK9feLwkL8KT61bt8bT05MqVaoQGRnJmTNnkj3/X8Nzy5cvj5WVFZ9//jkJCQkMGTKEsmXL4uXlRXBwcJK5HqtUqULx4knnJhk/fjw7duxg+/btZM6c/LwkAI6OjtSpU4dZs2aZegkCBAYGsnTpUlNhdcWKFVy8eNHU3qxZM9KlS4eNjQ3e3t6mHpB/FcpCQ0MpW7YstWvXZvfu3QQFBVGnTh0AgoKC6NixIw4ODtja2tKtWze2b99uauvRowcA2bJlo3nz5gQFBXH27FlsbW3x80u8SYa/vz+FCiU/p4+9vT1Vq1Zl9+7d7N69G19fXwoXLsxvv/1GdHQ0u3fvplatWoSHh2NtbU29evUAqFatGtmzZycsLIxdu3ZRv359cufODUDv3r3ZuXMn8fHx7Nixg/bt22Nvb4+9vT2dO3dONofRaGTatGl4eXnh4eHB5s2bTT83Pz8/duzYQXx8PGfOnGHgwIEEBQXx008/4e3tjZ2dnenn07x5cwB8fHye2tN04sSJuLq6JlkmTpz4xO0lUbp0iR9U27WrR+7cWXF2dqTvB+9w+PAZoqKin7G3SPKMRiNjxi3l4sWbzJ7ZB2trC/5qUV47PwadwsnRDt+qj89LZjQaGfPZBi5e/oPZU97T7568FM5OiZ9T+naujHM6e3Jld6F9gCe79l98xp4iEHzyBqGnb9K1lUey7RuCzhMfb6RJ3aKvOJlYqoQEI537fks5j7yE7h5O6O7hlPPIS+e+35q2MRqNjJm0mYuX7zB7ciusdWMOkZfuue7yXK9ePYKDg59Y8LFU3t7epEuXjl27djFv3jxTD7N/s7L6+8XJaDSSKVOmx2728iS1atV67IYq48eP59atWxw+fBhHR0cGDhyY5AYj6dOnf+w4lSpVYtu2bfz666+mQmffvn3Zu3cvkDicN0OGDFhbW/Pdd9/RunVrmjdvzpo1a3BwcMBoNDJz5kz8/f2Tzeno+Pe3hTY2Nqbhx35+fgwbNgx3d3f8/PzInj07QUFBHDx40DQ8/N/++Xw9T9uZM2do06YNAFWrVmXWrFnUqlWLXbt2cfHiRdN5K1euzKpVq7h27RqVKlUiPDw8xed7nozLly9n586d7NmzBxcXF2bMmMHOnTsByJcvHw4ODixbtozy5ctTp04dPvnkE2xsbEyFVwAHBwfT8W1sbJ46R+awYcMem//SwcEBOPnEfQRcXJzJlSv5orvR+IrDSJpgNBr5eNwyTpy4yOKFg8iQwfK+XJPX26r1wTRtWA5bW5sk641GIx9/toETp66yeHYXMqRXzx55OYoXzmLuCGLBDh77navXI6nRagUAhtgEYmLiqNx8KRvmN+fAsd85fvY2lZsnjgyLjokjPsFItRbL2beqjTmjy2vqXsQjrl2/T/uWlXByTPzCo11LbxYuPcCf96LI6OrEx5O3cOL0NRZ/2V7vjyKvyHN9rd2wYUMGDx7MmDFjWLNmDRs2bEiyWLJ+/frRvn17SpYsSbFiiXMy+Pj4cOLECc6ePQvAokWLTL39ihcvjouLC19//bXpGOfPn0/V0O+7d++SI0cOHB0duXHjBqtWrXrmPnXr1mXRokU0atTINCR3xowZpp6XZcqUMW1rZ2fHd999h5OTE02bNiU6OpqmTZsybdo005yRUVFRnD59+pnnzZUrF66urnz11Vf4+flRq1YtNm3axKVLlyhXLnHIn5+fH0uWLMFgMBAXF8eCBQtMhUs/Pz/mz58PwO3bt1m7di1169alRIkSxMXFmYYtBwUFmXrrubu7m67rrx6ktWrVIigoiMuXL1OiRAkAatasybhx46hatSr29vYUL16chIQEU+/IAwcOcOPGDTw9PalVqxY//vijaT7Ir776ijp16mBjY2Ma+h4bG4vBYEjys/33zy1Lliy4uLgQGRnJ4sWLk7T7+fkxatQo/Pz8yJgxI3Z2dqxatcrUCzO1HBwccHFxSbIkFhTlWVq2rM3SpVu5efNPoqMNzJq1Dh+fUjg768OGpN7Y8cs5FnqeRQsG4uqa9AYFsbFxxMTEEp+QQEJCAjExscTGJj8frEhyfr10m9ATVwhoUv6xtrGTNnLsxBUWfdkZVxfd+EeeLS4usZATF59AQoKRmJg40zyIsXHxxPx/Ieevtti4xLa8uVypUiEvsxYf4VF0LDf/eMDStcepUy1tdSaQ/yYuPoEYQxzx8QkkGCHGkPj71SmgND8ubkHg3GYEzm1G3w7lKJjXlcC5zcjs5siwXpXYsugdU3urt0tQqWxO1sxpYu5LktdUJrd05M+TiWWrjxATE0dMTBzLVh8lRzYXMrmlY+zkLRw7fpVFM9vp/VHA2sryFgv1XD0Uu3XrBsDYsWMfa7OysnruOxG/DgICAujVqxfvv/++aV3WrFlZtGgRzZo1w97envr165uGGdva2rJp0yb69+/PtGnTiI+PJ0uWLKYbcqREv379CAgIoFSpUqa5HFOievXqrFy5koCAAL799tun3tXY1taWFStW0LZtW5o0acKaNWuIiYmhUqVKph5yQ4YMoVSpUs88r5+fH5s2bTL1UM2RIwdeXl6mYVfdu3fnwoULpgKjr6+v6WY9M2bMoFevXpQpUyZxjouPPqJSpUpA4nD03r17Ex8fT8WKFSlbtuwTM1SsWJG7d+/SsGFD07qaNWvSo0cP0xBle3t71q5dS9++fRk0aBCOjo6sXr2a9OnTU7p0aSZPnkz9+vUByJs3r6nQ2a1bN06dOoW7uzsZM2akevXqhISEPJahffv2rF+/nuLFi5M1a1aqV6/O5ct/323Tz8+POXPmmH6efxVTn3Zd8nJ079aY+/ce0LjJMAAqVXJn0me9zJxKLNG13++wfOUu7O1tqe03xLS+UaPKjB3djpGjl7Bu/QHT+qXLd9KsSRU+nZD81Aki/7Z6QwgVPPNTIF/SHmLXrt9l+erDib97jSeb1jdqUJaxw5q+4pRiKeYsOcKXiw+bHnvUnYW3Z26+nRHAyEk7WPfjz6a2pWuP06x+ST4dnvgl8JSR9Rk5eQdVmswnvbM9jeuWoGubxwvd8uaaszSMWd+Gmh6XfesbKnrk4NupDZPcPdwlgz22ttbkyJr4JZxrBgdcM/z9pXj6dPY42NuQXXcRl6eYPbk1E7/YSo23p5JgNFKyWA7mTGnNtev3WL4mGHt7G2o3+cK0faP6Howd+rb5Aou8AayMRg36+6fg4GDatGnD2bNnNS+RWAajJkiXl8SqAsT9ZO4UklbZVoeI1eZOIWmVSwDcnG3uFJJWZe+N8eokc6eQNMoq7//gXso7p4ikilvan1YgYeKTO1q9rqyH7Td3hOfyXD0U06quXbuybds2FixYoGKiiIiIiIiIiIglseAhxJbmuQuKe/bsYcqUKfz8c+JQCXd3dwYPHkz16tWfsefra8GCBeaOICIiIiIiIiIi8lp7rm54S5cuxc/Pj3Tp0tG3b1/69u2Lk5MTderUSdXcgSIiIiIiIiIiImJZnquH4ieffMKkSZMYMGCAaV3fvn2ZOnUq48aNo02btD8uX0RERERERERE5E30XD0Uf/31Vxo1avTY+saNG3Px4sX/HEpERERERERERCRVrC1wsVDPFT1v3rzs2LHjsfVBQUHkzZv3P4cSERERERERERGR19NzDXkeNGgQffv2JSwsjCpVqgCwf/9+Fi9ezPTp019oQBEREREREREREXl9PFdBsVevXuTIkYPPP/+c77//HoCSJUvy3Xff0aRJkxcaUERERERERERE5Jmsrcyd4I3xXAVFgGbNmtGsWbMXmUVERERERERERERecxY8/aOIiIiIiIiIiIi8ainuoZgpUybOnTtHlixZyJgxI1ZWT+5G+ueff76QcCIiIiIiIiIiIvJ6SXFBcdq0aWTIkAGAL7744mXlEZHUsqpg7gSSltlWN3cCSctcAsydQNKy7L3NnUDSMKu8/zN3BEnL3NqYO4GI5dI43FfGymg0Gs0dQkT+A2OwuRNIWmVVAeL3mzuFpFU2VeFBoLlTSFqVvincWWzuFJJWZe4I12eYO4WkVTn7QsT35k4haZVLS3MneOkSpllehwjrAT+ZO8Jzea6bskRERCS73srKCgcHB+zt7f9TKBEREREREREREXk9PVdB0c3N7alzKObJk4eOHTsyevRorK3V31RERERERERERCSteK6C4uLFi/noo4/o2LEj3t7eABw5coRvvvmGESNGcPv2baZMmYKDgwPDhw9/oYFFREREREREREQe85TOb/JiPVdB8ZtvvuHzzz+nZcu/x983atSIMmXKMHfuXHbs2EG+fPn45JNPVFAUERERERERERFJQ55rPPKBAwfw8vJ6bL2XlxcHDx4EoFq1aly5cuW/pRMREREREREREZHXynMVFPPmzcvChQsfW79w4ULy5s0LwJ07d8iYMeN/SyciIiIiIiIiIpISVha4WKjnGvI8ZcoUWrRowQ8//EDFihUBCA4O5uzZs6xevRqAo0eP0qpVqxeXVERERERERERERMzuuQqKjRs35uzZs8ydO5dz584B0KBBAwIDAylQoAAAvXr1emEhRURERERERERE5PXwXAVFgIIFC/Lpp5++yCwiIiIiIiIiIiLymnuuORQBfvrpJ9577z2qVKnCtWvXAPj222/Zt2/fCwsnIiIiIiIiIiKSIlZWlrdYqOcqKK5Zs4Z69erh5OTEsWPHiImJAeD+/ftMmDDhhQZ8GQoUKEBYWFiq9/vqq6+YPHnyC80yZswYsmbNiqenJyVLlqRVq1bcvXs31cdJ7TV16NABFxcXHj58mOpzPa8HDx5glYL/LJcuXcLNze25zmFlZYWfn1+SdVmyZOHSpUupPlZYWBgrV6587Pj37t1L0f4XLlwgICCAggULUr58eby9vVmwYAEAgYGBHDp0KNWZ5Pnt2BlCk6bD8PTqTLXqfVixMsjckcRCLV22g+YtPqZ02e70fn9mkrbz56/RodNkKlZ+n6rV+zNy9GIePYoxU1KxVDv2nKHJu1/gWXUE1eqNZ8XqQ9z58wGDPlpBjQafUK7GKJq2mc6OPWfMHVUszJXf7tJ14HdUrDeN6o1nMn/p359FTp29zrs9v6Wc3+fUCZhD4A8nzZhULMHStSdo3v17StedQ++PtpjW37kbxaDx26gRsJhyb82jadfv2LH/YpJ9g0/8TsteqynfcD7VAxbz+byDJCQYX/UliIXwqjEuyVKq8mgavfulqX3omLWU9hmTZJvQE1fMmFjkzfBcBcXx48fz1VdfMX/+fOzs7Ezrq1atyrFjx15YuFctLi7uqe09e/Zk8ODBL/y8bdu2JSwsjFOnThEbG8v48eNTvG9CQgIJCQmpOl9ERAQbN26kbNmyrFq1KrVxX3sXLlxg69at/+kYcXFxyRYUU+rGjRtUq1aNevXqcfHiRUJCQti6davpd+xZBcVn/S5K6uz96Tgff/w1w4e1IyR4AZs3TcLb293cscRCZcvmRu8ejWjZosZjbYMGz6NgwRzs3/sFG9eP5ezZq8yes9EMKcVS7T0QzsefrmP4oEaE7B3L5lUD8S5fiKioGNyL5+L7xX0I3j2Gvj3rMmj4cs7/etPckcVCxMcn0GvIakoVy8GBzX35ZmYblq0JYeO200RERtN90Pc0rleKo1sHMPXjxoybup3g41fNHVteY9myONO7XQVaNiyVZH3Uo1jci2Tl+9kBBG/qRt/O3gwat43zl/4EEn8X+4zYQp1qBTmyoQsrZjZn885f+H7TaXNchliA0L0jkyyFCmaloX+ZJNu8G+CdZBsvj3xmSivy5niugmJ4eDg1ajz+h5Srq2uKe2+9Lnx9fenbty8+Pj74+/vTrVs3pkyZYmq/ePEiOXLkIDY2ljFjxtC/f38AFi9ejJ+fH++++y5lypShQoUK/Prrr6b9Ro8eTZEiRahYsSIjRoww3azmaWxsbPDz8yM8PJyTJ09SrVo1ypUrh7u7e5Ii45gxY3jnnXeoV68epUuX5vr160mOM3PmTKpWrcrt27eTPc+KFSvw8/Nj4MCBLFy4EICrV6+SLVs2DAaDabuOHTsyffp0ALZu3Uq5cuXw8PCgZs2anDmT2Cti9+7dlC5dmt69e1O2bFlKlSpFcHCw6Rhz586laNGieHl5MW3atCQ52rZtS4UKFfDw8KBhw4bcuHEj2bxHjx6ldu3aVKhQAS8vr2cWQceOHcvQoUMxGh//lvP8+fP4+fnh4eGBp6cngYGBpjYrKytGjx5NxYoV6datG6NGjWLXrl14enrSs2dP03azZ8/G29ubggUL8vXXXyebYdasWVSvXp1u3bqZ1mXMmJGePXuyZcsWNmzYwOTJk/H09GTBggXs3r2bUqVK0aVLFzw9PVm3bt1Tr1FSZ/r01fTp3ZxKldyxsbHG1dWZwoVymTuWWCj/uuXx8ytHRrf0j7Vd/e02jRv5YG9vS6ZMLtSu5cm5X34zQ0qxVNPnbKNPNz8qVSic+Hrlko7CBbORN09murSvSY7sblhbW1O7hjsF82cl7KR6YEjKXLzyJxev3KFPl2rY2dpQKH9mAt724Pv1YYSe/A17e1vebVYOGxtrypbKjX/NYqzeeNzcseU15l+jMH7VC5HR1THJ+ry5XOnS2osc2dJjbW1F7SoFKZjXjbAziZ/1Ix8auBcRQ9N6JbCxsSZPTheqlM/LuV//NMdliIU5cfo3Lly8TbO3vcwdRV5XVha4WKjnKijmyJGD8+fPP7Z+3759FCpU6D+HetXOnTvH3r172blzJ506dWLx4sWmtsWLF9O2bdskPTH/cvToUSZMmMDJkyfx8/Pjs88+A2Dz5s2sWbOG0NBQjhw5Yppj8lkePXpEYGAg5cuXp0CBAuzYsYNjx44REhLCmjVrkvRoO3jwIEuWLOHMmTPkzp0bSOytOHDgQHbu3ElQUBBZs2ZN9jwLFy6kc+fOvP322/zyyy+Eh4eTN29ePD092bBhA5A4PHnDhg2899573Lp1izZt2vDNN99w4sQJunfvTkBAgKlgd/bsWTp06MDx48f54IMP+OijjwA4deoUo0ePZu/evYSGhvLo0aMkOb744guCg4M5ceIE1atXZ8yYMY9lvXfvHt27d2fZsmUEBwezfft2Bg0a9NTntFGjRqRPn57ly5c/1ta2bVtatGjBiRMnWLVqFV26dOHy5cumdhsbG44ePcrXX3/N2LFjqVWrFmFhYXz11VembRwcHDhy5Ag//PADffv2TbY3YUhICD4+Psnme+utt2jcuDGDBw8mLCyMrl27AvDzzz/Tvn17wsLCaNGixWP7xcTEEBERkWT5a7oBebKoqGhOn77IzZt/Uq/eIKpW603fftO5dSv1UwuIPEvnTvUJXH+A6GgDt2/fZ/uOY9Ty9TR3LLEQUY8MnP75Gjdv3ades8lU9R9H3/8t5dbtiMe2vfPnAy5cukXxojnNkFQskWk46T++cE0wGgk/f4sEo/GxL2L/ahP5r+7cjeLC5bsUL5QFADcXR955qySrt5whNi6eK9fucyDkKjV98ps5qViC1etDqOFTlOxZXZKsX78lDO86E2jYcgaLlu5P9Sg+EUm95yooduvWjX79+nH48GGsrKz4/fffWbZsGYMGDaJXr14vOuNL995775kKhlWqVCEuLo6jR49iNBpZsmQJnTp1SnY/Hx8fChYsaPr3hQsXANixYwctWrQgQ4YMWFlZ0aVLl6eef9myZXh5eVGlShXc3d0ZOnQojx49omvXrpQpU4bKlStz+fLlJHMkvvXWW2TPnj3Jcbp3705kZCRr1qzByckp2XOdPHmS69ev4+/vj52dHe+99x6LFi0CoFOnTqYed6tWraJ27dpkzpyZw4cPU6ZMGcqUSexW3rZtW37//XdTUa9IkSJUqlTpsedh586dNGjQgJw5E//Y+ffvxvLly6lQoQKlS5dmwYIFyc4BeeDAAX799VcaNGiAp6enaX7E8PDwpz6nn332GSNHjkzS4zIyMpJjx46Zfh5FixalWrVq/PTTT6ZtOnfu/NTj/nX9ACVKlMDW1vaJPStTq1ChQtSsWfOJ7RMnTsTV1TXJMnHixBdy7rQsIuIhRqORoB0hLFo0lG1bp2Jvb8fg/80xdzRJg2pUL8OxY79QrmJvqtUcQM4cmXineTVzxxILERERlfh6tfsMi2Z3ZVvg/7C3t2XwyKTTbxhi4xgwbDkN/Dwo457HTGnF0hTMn4ncOVyZPv8nDIY4fvn1Nms2neBBVAyepXPz6FEsS1cHExsXT8iJ39i+5xwPHuqLS/lvDLHxDBi7jQa1ilCmRDbT+ga+Rfh+4xnK+s+lbtul1PIpQA1vDVGVp4t6ZGDztpMENC2fZH271pX5cXU/Dm4byicjm7Fk5UGWrNR89SIv23MVFIcOHUqbNm2oU6cODx48oEaNGnTt2pVevXqZeltZkvTpkw5b+6uwtnv3brJkyULp0qWT3c/R8e/u/TY2Nk+c9+5ZNyJp27YtoaGhhIaG8sUXX+Dk5MTw4cPJkiULoaGhHD9+HF9fX6Kjo5+YGaBmzZocPnw4SYErICAAT09PPD09uXPnDgsXLiQyMpJChQpRoEABVqxYwZIlS4iLi6NZs2YcOXKE69evs3jx4icWUl/E87Bv3z5mzJjBli1bOHXqFFOnTk1yfX8xGo2UKlWKsLAw03LlyhVq167Np59+arq2f8+ZWKVKFTw8PJgz5+lFo3//bJJ7Xp/nesuXL8/BgwefeazUnHvYsGHcv38/yTJs2LBUneNNlC5d4s+rXbt65M6dFWdnR/p+8A6HD58hKurx3zmR53X//kM6dZlCixY1CAv5iiMHZ+Lk5MDgIfPNHU0sRLp0DgC0a12F3Dkz4pzOgb496nI4+FeiHiV+QWaIjaPv/5bi5GjHuJHvmDOuWBg7WxtmfxbAz+duUL3Jl3z48QaaN/TAzcWJjK7pmDO5BZu2naHa2zP4fM6uxDbX5L+gFkkJQ2w8fUf/iJODLeM+rGVa/+uVu/T+aAvD+lTlxLae/LSmIxcu32XKvNR9dpY3z49Bp3BytMO3arEk60uVyEWmjM7Y2FjjWSYv3TpUZ8t23VhK5GV7roKilZUVH330EX/++SenTp3i0KFD3L59G1dXV1OPPUvWrl07Vq1axVdffZWiHmv/Vrt2bdasWcODBw8wGo2mHoCpcffuXfLkyYOtrS3h4eFs3749RblHjRpF7dq1uXgx8U5qq1evNhXiMmTIwNKlSzl06BCXLl3i0qVLXLt2jXz58rF582YcHR1p0aIFY8aM4cKFC9SvXx+AypUrc/LkSU6dOgXAypUryZ07t2mo9dOehx9//NFU4PznsOG7d++SIUMGMmfOjMFgYO7cuckeo0qVKly8eJGgoL/vyBsWFobBYGDo0KGma6tXr95j+06YMIGJEyeahgVnyJCBcuXKmXphnj9/nn379iU7HyiAi4sL9+/ff+o1Pknv3r3Zs2dPkjkW7927Z7rO5zm2g4MDLi4uSRYHB4fnyvcmcXFxJleuzMm2JTPNpshzu3L1FjHRBtq/54e9vS2urs60bunLnj0nzB1NLIRLBidy5XBLts1oNGKIjaPfkGXExsYzc3I77O1sX21AsXhFC2Vl0fR3OfxDf9Z/0wWDIZ6KXom9wsp75GHlvPYc/nEAy+e0448/H5raRFLLEBtPvzE/EhubwMyxDbC3szG1nfv1DjmyOlPftwi2ttZky+xM0/ol2HPw8lOOKAKr1ofQtKEXtrY2T93O2tqCJ6WT/87KyvIWC5WqgmJMTAzDhg2jQoUKVK1alS1btuDu7s7p06cpXrw406dPZ8CAAS8r6yuTK1cuvL292bBhA++++26q93/77bdp0qQJnp6eVKxYETc3N9zc3FJ1jBEjRvD111/j4eHB0KFDqV27dor2CwgI4PPPP8ff35+zZ88maQsMDCR//vyUKFEiyfq2bduabs7SqVMn5s2bx3vvvYeNTeILddasWVm2bBnt27c39fpbtWrVM3teli5dmjFjxlC9enW8vLySFL/q169P8eLFKV68ONWrV8fT0zPZY2TMmJHNmzczYcIEypYtaxoSnpI5Mdzd3WnYsCEPHjwwrVu2bBnfffcdZcuWJSAggAULFpAvX/IfluvUqUNMTAweHh5JbsqSEjlz5mTfvn1s2rSJggUL4uHhQZ06dUxD69u1a8f333+Pl5cXCxYsSNWxJfVatqzN0qVbuXnzT6KjDcyatQ4fn1I4Ozs+e2eRf4mLiycmJpa4+AQSjEZiYmIxGOIoVDAn6dI5snzFTuLi4nnw8BHfr95DyZL6g1xSrmXzSiz97gA3b90nOjqWWfOD8PEujL2dLf2HLOPRIwOzP2+Pvb2KiZJ6Z8/fIuqRAUNsPNt2h7Nm83F6dawKwJnwGxgMcUTHxPL9+jCOHLtMh5YVzZxYXmdxcQnExMT94/0wDkNsPLFx8fQfs5VHj+KYPb4B9vZJiz+limfj1p0ogn76lYQEI3/ee8SGbeGULJrFTFciluDXS7cJPXGVgCblH2vbsv0kDx5EYzQaOXnmGvO/+Qn/2qWSOYqIvEhWxuRuhfsEQ4YMYe7cufj5+XHgwAFu375Np06dOHToEMOHD6dFixamItSbLjIykgwZMmA0Ghk0aBCPHj165vBbkediDH72Nm+4+PgEJk9ezrrAxPkyK1VyZ+SIDmTN6mbeYK87qwoQv9/cKV47M78M5MvZG5Ks865YnG+/GULIsV+YMnUVv/xyDRtra7zKFeWjoa3JmzfbE472BrOpCg8CzZ3itRMfn8Dk6VtYtykEgEoVCjPyf024ePk27brPxcHBFhvrv78P7tG5Fj07p+xLxzdK+qZwZ7G5U7x2ps3dw8p1x4gxxFOiSDYGv1+b8h6J83AOG7+J7XvPER+fgFfp3Azr50fRQsnf4O+Nl7kjXJ9h7hRmN/PrI3z5zdEk67zL5uKDTt606x+Ig70NNv/oKdbjvfL0fK8CADv2X+TLxUe48nsEDvY2VCmfl+HvVyOTm4bZk7MvRHxv7hSvnUkztnLi1G8snff4/Qnadl9A+C83iY9PIFvWDAQ0KU+X96pibf1cAzLTNpeW5k7w0iV86WvuCKlm/f5uc0d4LqkqKBYqVIgvvviCxo0bc+rUKTw8POjYsSMLFy58Zm+1N02zZs24dOkS0dHRlCpViq+++oosWfStm7wEKijKy6KCorxMKijKy6SCorxMKijKy6SCorxMb0JBcbavuSOkmnXv3eaO8FxSNV7mt99+o3z5xC7GpUuXxsHBgQEDBqiYmIx169aZO4KIiIiIiIiIiMgLl6o+wPHx8djb25se29rapuiuuCIiIiIiIiIiIpI2pKqHotFopGPHjqaba0RHR9OzZ0+cnZ2TbLd27doXl1BEREREREREREReG6kqKHbo0CHJ4/fee++FhhEREREREREREXkumpLvlUlVQfHrr79+WTlERERERERERETEAug+6iIiIiIiIiIiIpJiqeqhKCIiIiIiIiIi8lrSiOdXRj0URUREREREREREJMVUUBQREREREREREZEUU0FRREREREREREREUszKaDQazR1CRERERERERETkv0iYW9vcEVLNusdOc0d4Lropi4jFCzF3AEmzyoPxiLlDSFpl5Q2xe8ydQtIqu5oQvc3cKSStcvSHRz+YO4WkVU4N9P4oL49dTXMnkDREQ55FREREREREREQkxdRDUURERERERERELJ+VuQO8OdRDUURERERERERERFJMBUURERERERERERFJMRUURUREREREREREJMU0h6KIiIiIiIiIiFg+K02i+Kqoh6KIiIiIiIiIiIikmAqKIiIiIiIiIiIikmIa8iwiIiIiIiIiIpZP3eZeGT3VIiIiIiIiIiIikmLqoSivTIECBQgMDMTT09NsGT788EPSp0/PmDFjnrpdx44d8fT0pH///qk6vpWVFXXq1CEoKMi0LkuWLAQHB1OgQAEAbt26Ra1atTh9+jRr167lk08+IT4+nujoaHLlykVQUBDW1qr1v0jjxi0mKCiYyMhHODs7Ur9+JQYPboO9vV4C5b+7efNPPh77DSHB58AKKld2Z/SoDmTK5GLuaGKBxk1YQdCOMCIf/P/rlX95Bg96B3s7Wx48eMToscvYtecEjg52tG1Tiz493zZ3ZLFA0dEGGgVM5O69hwTvmwRA30ELORb2K1GPDLi5piOgmQ+9u9c3c1KxFENHLmPTD8ews7MxrVv0VS+8yhYEIDY2nolT1rFxSwhWVlY0eqs8wz5siq2tzZMOKWJiMMQy9pMVHDj0M3fvPiB7dje6dqpHQPNqAJw6fZlPPl1J+LlrZMyYng96NaJpEx8zpxZJ+/TXtMgLduHCBbZu3Uq9evWSbV+/fj2NGzfm+vXrdO/enZCQEPLnzw/AsWPHsNJdqV64Nm3qMmhQa9Klc+TPPyPo128GCxZspHfvZuaOJmnAx2O/AWDnzmkYjUY+HDyH8eO/ZerUPmZOJpaoTStfBvVvTrp0Dvx5N5J+A+eyYNFWevdoyLgJK7l3/yG7t3/KnT8j6dR1KrlzZtYfTZJq02dvIVfOTNy999C0rk/PBhTMnxV7ezt+v/4nXXvPIXeuzDR5u6IZk4olebdlVT76X/Nk2+bM30ZI6K9sXjsUgG595vLVwu2830NFa3m2uLgEsmZ1ZfH8AeTNm5XjJy7SrdcMcmTPiEeZgnTvNYMP+jSmZUB1Tp2+ROfuX5AnbxYqlCtq7ugiaZq6QYnZTZ06lYoVK+Lp6UnFihU5ePAgANu2bcPf3x+AiIgI7OzsmDdvHgBLliyhc+fOAPj6+vLhhx9SvXp1ChcuTM+ePU3Hvn79OvXq1cPd3R0/Pz9+++03U9uOHTvw8fHBy8uLUqVKsXDhwmTzxcbGMnToULy9vfH09KRly5bcvXv3idczduxYhg4ditFoTLY9MDCQZs2acfPmTWxsbMiUKZOprVy5cioovgSFC+cmXTpH02NraysuX75hxkSSlly9epsG9Svh7OxI+vROvPVWJc79ctXcscRCFS6ck3TpHBIfGMHa2prLl2/x6FEMm384Sv8PmuDiko6CBbLzXpvarF63z7yBxeKcOnOFffvP0K2TX5L1xYvmwt7eDkgccWFtZcXlK7fMEVHSoDXrD9Ormz/ZsrqSLasrPbv6sybwsLljiYVIl86Bfu83IV++bFhZWeFZthCVKhYnJPQ8oWEXsLe35d1WNbGxsaasRyH8/cqxeo3eH99YVlaWt1goFRTF7Nq1a8fRo0cJCwtj5syZdOrUCYDq1asTHBxMTEwMu3btomLFiqahxNu3b8fP7+8PwhcuXGDXrl2cOnWKrVu3moqSffv2xdvbmzNnzvDNN9+wY8cO0z7lypVj3759hIaG8tNPPzF27NgkBce/TJ48GWdnZ44cOUJYWBhlypRhxIgRT7yeRo0akT59epYvX/5YW2RkJGfPnqVixYp4eHhQrVo18ufPT7NmzZg8eTLXrl174nFjYmKIiIhIssTExDzj2ZW/zJu3AS+vTvj49OTs2cu8917yPUhFUqtTx/r8uPUIkZFRREQ8ZPOmQ9Ty9TJ3LLFg8xb8gFfFD/CpMYiz4Vd5r00tLl66SWxsHCVL5DVtV7JEXsLPPfl9Q+Tf4uLiGfnxCkYNb4md3eMDlcZ88h1lKw3Et94ooh7F0KxxJTOkFEu1flMw3jWG07D5pyxasouEhAQA7kdEcePmPUoWz23atmTx3Px+/S6RkY/MFVcsWExMLCdOXaR4sTwkJBj5dz+OhAQj4ece/7tORF4sFRTF7EJDQ6lZsyalS5emZ8+ehIeH8+jRI5ycnPD09GT//v0EBQUxdOhQjh07RkJCAjt37qR27dqmY7Rq1QpbW1vTPhcuXAASeyF27doVgNy5c9O4cWPTPnfu3KFFixaULl2a2rVrc+fOHU6dOvVYvsDAQJYuXYqnpyeenp6sWLGCixcvPvWaPvvsM0aOHInBYEiy/ocffqB+/fqJ3/xbW7NmzRoOHDhA/fr12b9/P6VKleL8+fPJHnPixIm4uromWSZOnJiyJ1no3r0xoaFfs2XLZFq39iNrVldzR5I0oly5Yty5E0FF7554V+rF/YiH9OjR+Nk7ijxB964NCD06ky3rP6Z1y5pkzeJKVFQM6Zwcksw3liFDOh4+jDZjUrE0C7/ZQckSeahYvkiy7WM+akXowSmsXj6YJm974+qS7hUnFEvVrk0NfgwczsFd4/lkTGuWLN/DkmV7AYiKSvwCPEMGJ9P2Lv//74dR+nJcUsdoNPLRqCXkz5cNfz8vPD0L8ehRDEuX7yQ2No6QY+fZviOUBw/0/ijysqmgKGZlMBho3rw5U6ZM4dSpU+zdm/jB46+ed35+fgQFBbF3717q1KlDmTJlWLp0KRkzZiRHjhym4zg6/j2c1cbGhri4uGTP98/hxD179qRatWqcPHmSsLAwihUrRnT04288RqORmTNnEhYWRlhYGGfOnGHLli1Pva4qVarg4eHBnDlzkqxft24dTZs2TbKuRIkS9OjRg8DAQCpXrsyGDRuSPeawYcO4f/9+kmXYsGFPzSGPK1w4NyVK5GPo0K/MHUXSgISEBDp3/oxy5YoSemw+ocfmU65cUTp3+czc0SQNKFw4JyWK52HoiK9Jl86BR9EG4uLiTe0PHkTh7Oz4lCOI/O3yldusXLWP/w1s+tTtrK2tKVMqH87ODnw2NfCVZBPLV6pkXjJlSo+NjTWeHgXo1smPLdtCAUzTOPyzwBP5ILFnovNfUzyIpIDRaGTMuOVcvHSD2TN6Y21tTUa39Mz58n02bT5CNd/BfP7FWpo3rYKbm7O544q5WFngYqFUUBSzio6OxmAwkC9fPgBmzpyZpN3Pz4/ly5fj5uaGs7Mzfn5+jBo1Kslw56fx8/Nj0aJFQOJ8iv8s1t29e5f8+fNjZWXF3r17OX78eLLHaNq0KdOmTSMqKgqAqKgoTp8+/cxzT5gwgYkTJ5qKowaDgYMHD+Lr6wvAtWvX2L9/f5I8Fy9epHDhwskez8HBARcXlySLg4M+hD2PuLh4Ll++ae4Ykgbcu/+Qa7//Qft29XBycsDJyYF27/lz/PgF/rwbae54kgYkvl7domCB7Nja2nA2/O8hXD+f/Y1iRXM/ZW+Rv4WEXuCPO5HUazyOSjWH0rv/PB48iKZSzaEcP3Hpse3j4uK5fOX2qw8qaYK19d9/Ibu6pCNHdjd+Dv97ioafw6+RM4dbkl6LIk9jNBr5ePxyTpz8lUXz+pMhw989qMuXK8LKZUM5vH8ay5f8jz/+iKBihWJmTCvyZlBBUV6pevXqkSdPHtMSERHB+PHj8fb2pnz58tjb2yfZvkKFCty/f586deoAULduXS5fvmx6/CzTp0/n0KFDuLu70759+yTDpD/99FOGDh2Kp6cnixYtolKl5OcJGjJkCBUrVqRSpUp4eHhQuXJlwsLCnnlud3d3GjZsyIMHDwDYuXMn1apVw84uccLzuLg4xo4dS7FixfD09KR69ep06NCBJk2apOjaJGUePoxmzZrdREQ8xGg0Eh5+hTlzAqlWrYy5o0kakCljBvLnz86yZduJiTEQE2Ng2fIgcuTIRKaMGcwdTyzMw6ho1qzbT0REVOLr1bnfmDN3C9WqlsLJyYG36ldg+pfriYyM4tLlmyxdvpMWzauZO7ZYiAb+5di+aRTrvx/C+u+HMH50G5ydHVj//RCyZHFha1AYD6NiSEhI4FjYr3y7fA/VqpQwd2yxEFu2Jg4xNRqNnDx9hfmLgvCvU9bU3ryJN18t2M7tPyK4/UcEcxcGEdCsshkTi6UZ+8kKjoVeYNH8Abi6Ju19eObnKxgMsURHG/h+9U8cORpOh3Yp64AiIs/PyvikW9GKyAvVs2dP/Pz8CAgIeMFHDnnBx0tboqKi6dNnKmfOXMJgiCVTJhf8/b3p2zcAJyf18Hy68mA8Yu4Qr73z568xceIyTp26SIIxgZIl8zN0SBvc3QuYO9rrzcobYveYO8VrJSoqhj59Z///H0ZxZMqcAX+/cvTt0wgnJwcePHjEqI+XsmvPCRwd7Wn7bi3e7/W2uWO/nuxqQvQ2c6d4rR0++gt9BswneN8krv3+J4OHf8O589dJSDCSLasLTd72pkeXulhbq//BYxz94dEP5k7xWmnbeQbh534nPj6BbNlcCWhamS4dapl+f2Jj45kweR2bfkj83Nq4YQWGfdg0ybyw8v+cGuj98V+u/X6H2v7DsLe3xdbm79+ZRm9XYuzo9xg2YjHbd4QSH5eAl2chhg1pRdEiucyY+DVmV9PcCV66hK8tr5hs3SnI3BGeiwqKIhZPBUV5WVRQlJdIBUV5mVRQlJdJBUV5mVRQlJfpTSgoLq5r7gipZt1xu7kjPBd95SgiIiIiIiIiIiIppoKiiIiIiIiIiIiIpJituQOIiIiIiIiIiIj8V1ZWz95GXgz1UBQREREREREREZEUU0FRREREREREREREUkwFRREREREREREREUkxzaEoIiIiIiIiIiKWT5MovjLqoSgiIiIiIiIiIiIppoKiiIiIiIiIiIiIpJgKiiIiIiIiIiIiIpJimkNRREREREREREQsn6ZQfGWsjEaj0dwhRERERERERERE/gvjt/7mjpBqVu22mTvCc1EPRRFLZww2dwJJq6wqgPGIuVNIWmXlDbF7zJ1C0iq7mhBtmR/OxQI4+sPDjeZOIWmVcyMw7DR3Ckmr7GubO4GkISooioiIiIiIiIiI5bPWmOdXRTdlERERERERERERkRRTQVFERERERERERERSTAVFERERERERERERSTHNoSgiIiIiIiIiIpZPUyi+MuqhKCIiIiIiIiIiIimmgqKIiIiIiIiIiIikmIY8i4iIiIiIiIiI5bPSmOdXRT0URUREREREREREJMXUQ1FE3hjR0QYaNR7K3buRBB+db+44kkbcvPknH4/9hpDgc2AFlSu7M3pUBzJlcjF3NLEwBkMsYz9ZwYFDP3P37gOyZ3eja6d6BDSvBsD5C78zbsJKzvx8BXs7W2rXKsvwIS1xcnIwc3KxNNHRBhoFTOTuvYcE75uUpO2POxG81fQTcubMyPrvh5opoViaoaNXsumHUOzsbEzrFs3ujlfZAgB4VR2eZHtDbByFCmRn4/eDXmVMsWDjJnxH0M7jRD54hLOzA/X9yzF4YHPs7f4uafzxRwRvNfmYnDkzsX71R2ZMK/JmUA/F11yBAgUICwt7bH3Xrl3ZtWvXSzlnx44d+eKLL1K9n6+vLwULFsTT05PixYszYsSIVB/j0qVLuLm5pWjbMWPG0L9//1Qd/3n2+ae33nqLL7/88rH1ZcuWZe3atYwaNYply5Y99/Hl5Zo+YzW5cmUxdwxJYz4e+w0AO3dOY0fQVGJiYhk//lszpxJLFBeXQNasriyeP4Bjh2fw6fhOfDZlNfv2nwZg0P8WULBAdvbvmcLGdaM5G36V2V9tNnNqsUTTZ28hV85MybaNnbiKkiXyvOJEkha826IKofsnmJa/iolAkvWh+ydQqEB2GtbzNFtWsTxtWtfghw2jOXZoGutXj+Bs+DUWLNqWZJuxE76jZMm8Zkoo8uZRQdFCLViwgFq1apk7xmOmTZtGWFgYhw4dYunSpWzcuDHF+8bFxb3EZC9Gly5d+Prrr5OsCw4O5vr16zRq1IixY8fStm1bM6WTpzl16iL7fjpOt65vmzuKpDFXr96mQf1KODs7kj69E2+9VYlzv1w1dyyxQOnSOdDv/Sbky5cNKysrPMsWolLF4oSEngfg6m9/0Pjtytjb2ZIpUwZq+5bl3C/XzJxaLM2pM1fYt/8M3Tr5PdYWtOsE9+9H0eTtimZIJm+KE6eucOHiTZo1rmDuKGJBChfKSbp0/98j32jE2tqKy1dumdqDdh7nfsRDmrxdyUwJ5bVhZYGLhVJB0UL5+voSGBgIJPYo7NGjB3Xq1KFYsWI0b94cg8EAgMFgYPDgwZQuXZqyZctSv359AOLj403rS5cuzQcffGDa55/GjBlDq1ataNSoEe7u7tSuXZs///zzmfkyZsyIt7c34eHhLF++nEqVKuHl5UXZsmWTFBl9fX3p27cvPj4++Pv7JzmGwWDgvffeo0ePHsTHx6f4uTl58iTVqlWjXLlyuLu7M378+GS3O3PmDKVLl+aHH34AYMqUKXh7e1OuXDnq16/P5cuXH9uncePGXL16lRMnTpjWLVq0iPbt22NnZ5ekd2dsbCxDhw7F29sbT09PWrZsyd27d3n48CGZMmUiNjYWAG9vb9q0aQPAlStXKFy4cIqvVVImLi6ekaMWMGpUR+zsNNODvFidOtbnx61HiIyMIiLiIZs3HaKWr5e5Y0kaEBMTy4lTFyleLLG3WOeO/gRuOEh0tIHbf9xn+44wavl6mDmlWJK4uHhGfryCUcNbPvZ+GBn5iE+nrOPjEa3MlE4s3frNwXj7jqRhwGQWfbubhISEZLdbHXiEGlWKkz2r66sNKBZv3oKteHn3x6fm/zgb/hvvtUnsYBMZ+YhPJ6/m45FtzJxQ5M2igmIaERYWxsaNG/n555+5efMma9asAWDixImcO3eOkJAQjh8/zrffJg7DmzdvHkePHiUkJISwsDAuXLjAtGnTkj324cOHWbx4MWfOnCFbtmzMnTv3mXl+++039u3bR/ny5alXrx6HDh0iNDSU9evX061bN2JiYkzbnjt3jr1797Jz507Tunv37lG/fn3c3d2ZO3cuNjY2yZ0mWQUKFGDHjh0cO3aMkJAQ1qxZw6FDh5Jss3v3bgICAliyZAkNGjRg+fLlhIeHc/DgQY4dO0bbtm3p3bv3Y8e2s7OjXbt2LFq0CIDo6GhWrFhBly5dHtt28uTJODs7c+TIEcLCwihTpgwjRozA2dmZ0qVLc/DgQe7evYvBYODo0aMYjUa2b99OnTp1kr2umJgYIiIikiz/fB7lyRYu3ETJkvmpWLGkuaNIGlSuXDHu3ImgondPvCv14n7EQ3r0aGzuWGLhjEYjH41aQv582fD3SyxQ16hWmmOh5ylXqS/VfAeTM0dG3mlW1cxJxZIs/GYHJUvkoWL5Io+1TZ62nmaNK1EgfzYzJBNL1651NX5cN4SDOz7mk1EtWbJiH0uW73tsu6hHMWzeFkZAM/Uik9Tr3rUeoUe+YMv6UbRuUZ2smRPnq548dS3Nmvjo9UvkFVNBMY1o1qwZ6dKlw8bGBm9vby5cuADApk2b6NevHw4Oid3Ds2bNCkBQUBAdO3bEwcEBW1tbunXrxvbt25M9dv369cmcOTMAPj4+pmMnZ8CAAXh6etKsWTNGjhxJrVq1uHjxIg0aNKB06dI0bdqUP//8k4sXL5r2ee+997CzszM9NhgMVK1alY4dOzJ8+PDkTvNUjx49omvXrpQpU4bKlStz+fLlJPNQ7ty5k549e/Ljjz9Srlw5AAIDAwkKCqJ8+fJ4enoyadIkrly5kuzxu3TpwrJlyzAYDKxdu5aSJUtSsuTjharAwECWLl2Kp6cnnp6erFixwnTdfn5+BAUFsXPnTvz9/SlRogQnT54kKCjoiQXFiRMn4urqmmSZOHFiqp+fN83lyzdY+d0O/jdY31jKi5eQkEDnzp9RrlxRQo/NJ/TYfMqVK0rnLp+ZO5pYMKPRyJhxy7l46QazZ/TG2tqa+/cf0qnbVFq8U52w4C85sn8aTk4ODB66yNxxxUJcvnKblav28b+BTR9rCz52nmNhv9Kt8+PDoEVSolTJPGTKmB4bG2s8PfLTrWMttmwLe2y7H7efwMnRDt9q+pJXnl/hQjkpUTwPQ0d8Q3DILxwLu0C3Lv7P3lHeDFZWlrdYKI39SyMcHR1N/7axsUn1fIRWT/klTs2xp02bRtOmTZOsa926NZ9++ikBAQEAZMqUiejoaFN7+vTpk2xvZ2dHtWrV2LhxI++++y52dnbcu3cPX19fAAoWLMi6deuemGH48OFkyZKF0NBQbG1tad68eZLzFSlShLNnz3Lo0CHy5csHJP7xNmzYMLp37/7E4/7F3d2dIkWKsHHjRhYtWpRs78S/jjlz5szHhnJDYkHxww8/5Pbt2zRr1ozcuXOzfft2du3axYwZM5I93rBhwxg4cGCSdYmF4pPPzPwmCwkJ548/IqhXP/EugnFx8Tx8GE2lyj2YN3cwZcs+3ktDJKXu3X/Itd//oH27eqY77bZ7z5+FC7fw591IMmXMYOaEYmmMRiMfj1/OiZO/snjBQDJkSAfAlau3iYmOpf17tbGyssLe1ZbWLWvQrWfy7xki/xYSeoE/7kRSr/E44K/3wxgq1RxKmVL5uHrtD6r7Jd5Qz2CIIyYmlko1h7Jx9TCyaWiqpJK1dfJ/W6wKPEzTtytga5vy0UciyYmLi+fyldscPBzO1d/+oHrtxLvSm16/qn/IxrUj9folac6cOXOYM2cOly5dAqBUqVKMGjWKBg0aAImjKAcNGsTKlSuJiYmhXr16zJ49m+zZs5uOceXKFXr16sWuXbtInz49HTp0YOLEidjapq5EqIJiGte4cWOmT59O1apVcXBw4Pbt22TNmhU/Pz+WLFlCmzZtsLa2ZsGCBckWvl6Eu3fvUrBgQQCWLl3K3bt3n7q9lZUVc+fOZeDAgTRt2pTVq1fj5uaW7N2un3S+kiVLYmtrS3h4ONu3b6dGjRqm9nz58jFr1izq1avHw4cP6dSpE02bNuXzzz8nICDANL/hqVOn8PJKfh60Ll26MGHCBH755RfTXJb/1rRpU6ZNm0a1atVIly4dUVFRXLx4kVKlSpnml7x16xZTp04ld+7cNGzYkBw5cph6kf6bg4ODqadpEsYUPS1vrAYNKlOlSmnT49Cw84wYMZ/1gRPIlEkfMOS/yZQxA/nzZ2fZsu28/34zAJYtDyJHjkwqJspzGfvJCo6FXuCbRQNxdXU2rS9UKAfp0jmwfOVuWrWoQXRMLN+v/kl3s5QUa+BfjiqVi5sehx6/xIiPl7P++yGkd3bkwcO/v3z9cVsoq9YeZOFXvcmcSa9l8mxbtoVRo0oJnJ0dOPXzb8z/ehdtWlZJss2vl24RevwyE8donk5JnYdR0fy49Rh163iSIYMT5375nTnzfqBaFXc6ta9Di+Z/T//x47ZjrFq7n4VffaDXL0mT8uTJw6effkrRokUxGo188803NGnShNDQUEqVKsWAAQPYvHkzq1atwtXVlffff5/mzZuzf/9+IPF+Gn/VHg4cOMD169dN94SYMGFCqrKooGgB6tWrl2RI8L/nA3yaIUOG8NFHH1GuXDns7OzIlSsXW7ZsoXv37ly4cME05NfX15f+/fu/6OgATJ8+nYCAANzc3Khdu7apV+CzTJ06lZEjR/LWW2+xcePGx3oyAixcuJDVq1ebHg8cOJARI0bQrl07vvnmGwoXLkzt2rUf2y9nzpzs3LmT+vXrExkZSd++fblz547pztlxcXF07tz5iQXFVq1a0b9/f1q1apVsLkh87mNiYqhUqZKpB+iQIUMoVaoUtra2VK1alQcPHuDk5ESpUqWIjY194nBneX5OTg6mnmMAmTLexMrKihw5MpsxlaQls2cNYOLEZdSo0Y8EYwIlS+ZnzuwB5o4lFuja73dYvnI39va21K47zLS+0duVGDv6PeZ8+T5Tpq1h2oxAbKyt8fIqzGefdDJjYrEkTk72ODnZmx5nyvhH4vth9owApE/vZGpzcUmHrZ2NqU3kWZZ9t59R41cTH59AtmyuvNuiCp3b1UyyzerAI1TwKkiBfMl/eS7yJFZYsWnLUSZ9vhaDIY5MmdLjX9eLvr0b4eRk//jrl60NOXLo9UssR0xMzGP3R3hSh6JGjRolefzJJ58wZ84cDh06RJ48eVi4cCHLly831UG+/vprSpYsyaFDh6hcuTLbtm3jzJkzBAUFkT17djw9PRk3bhxDhgxhzJgx2NvbP3bOJ7EyGo3q3yRiyYzB5k4gaZVVBTAeMXcKSausvCF2j7lTSFplVxOit5k7haRVjv7wcKO5U0ha5dwIDDufvZ3I87B/vLNNWmP8voG5I6Tax2cq8fHHHydZN3r0aMaMGfPU/eLj41m1ahUdOnQgNDSUGzduUKdOHe7evYubm5tpu/z589O/f38GDBjAqFGj2LBhQ5IRoBcvXqRQoUIcO3bsiZ2qkqMeiiIiIiIiIiIiImbw5PslJO/kyZP4+PgQHR1N+vTpWbduHe7u7oSFhWFvb5+kmAiQPXt2bty4AcCNGzeSzKf4V/tfbamhgqKIiIiIiIiIiIgZPPF+CU9QvHhxwsLCuH//PqtXr6ZDhw7s2fPqR/6ooCgiIiIiIiIiIpbvCXeZT0vs7e0pUqQIAOXLl+fo0aNMnz6dVq1aYTAYuHfvXpJeijdv3iRHjhwA5MiRgyNHkk5rdfPmTVNbalj/h2sQERERERERERERM0lISCAmJoby5ctjZ2fHjh07TG3h4eFcuXIFHx8fAHx8fDh58iS3bt0ybbN9+3ZcXFxwd3dP1XnVQ1FEREREREREROQ1N2zYMBo0aEC+fPmIjIxk+fLl7N69m61bt+Lq6kqXLl0YOHAgmTJlwsXFhQ8++AAfHx8qV64MgL+/P+7u7rRr145JkyZx48YNRowYQZ8+fVI17BpUUBQREREREREREXnt3bp1i/bt23P9+nVcXV3x8PBg69at1K1bF4Bp06ZhbW3NO++8Q0xMDPXq1WP27Nmm/W1sbNi0aRO9evXCx8cHZ2dnOnTowNixY1OdxcpoNBpf2JWJyKtnDDZ3AkmrrCqA8ciztxN5HlbeEPvqJ4+WN4RdTYjeZu4UklY5+sPDjeZOIWmVcyMw7DR3Ckmr7GubO8FLZ1zzlrkjpJrVO1vMHeG5aA5FERERERERERERSTEVFEVERERERERERCTFNIeiiIiIiIiIiIhYPisrcyd4Y6iHooiIiIiIiIiIiKSYbsoiIiIiIiIiIiIWz7i2obkjpJpV883mjvBcNORZxOKFmDuApFnldZdneXmsvMGwy9wpJK2yrwWPfjB3CkmrnBrAw/XmTiFplXMTiAkydwpJqxz8zJ1A0hAVFEVERERERERExPJpCsVXRnMoioiIiIiIiIiISIqpoCgiIiIiIiIiIiIppiHPIiIiIiIiIiJi+aw05vlVUQ9FERERERERERERSTEVFEVERERERERERCTFVFAUERERERERERGRFNMciiIiIiIiIiIiYvk0heIrox6KIiIiIiIiIiIikmLqoSgiad64cYsJCgomMvIRzs6O1K9ficGD22Bvr5dA+e+uXLnJ2HFLOH78PI6ODrRv70+3rm+bO5ZYqHETVhK08ziRDx7h7OxAff/yDB7YHHs7W76YuYEdO8O4cPEGbd/15aMhLc0dVyxUdLSBRi0mcffuA4L3fQrAqTNX+WTSWsJ/+Z2Mbun5oGc9mjbyNnNSsTQ79pxmxpxtXL7yB+nTO9Knux/vBvjw4EE0oyesZddPP+PoYEfbVlXo083P3HHFgoyb+P3/vz9GJ74/1i3H4IFNsbdL/Dy/as1+FiwO4ubNe2TKlJ7hQwLwq1XWzKlF0rY3vodigQIFyJYtG7GxsaZ1u3btwsrKiv79+wOwYcMGBgwYkOz+p06dokCBAq8g6ePOnz9PixYtKFiwIF5eXpQtW5bBgwcTExPzXMcbPXo0JUqUoFKlSgQHB9OqVatn7rN79248PT2TbXvw4AFWT7hl++LFi3F1dcXT05PSpUtTq1Ytzp0798TzBAQEsHjx4pRcxmNCQkKoX78+hQoVokKFClStWpXAwEAAfH19Tf9+UVL63Mmr06ZNXX74YQrHji1k/fqJnD17hQULNpo7lqQB8fEJ9Oo9jVLuBTiwfxbfLB7GsmVBbNx4wNzRxEK1aV2THzaM4dihL1i/eiRnw39jwaJtAOTPl5UPBzantq+HeUOKxZs++wdy5cxoehwREUX39+fSuGEFju6dyNRP2zHus7UEh/5qxpRiafbuD+fjiYEM/7AxIT+NY/PqQXiXLwzAuEnruXc/it1bhrNsYS9WrTtC4KYQMycWS9KmVQ1+WD+KYwc/Z/2q4Zw99xsLvt4OwHer97FoyQ6mTepM6OGpfL9sMMWL5jZzYjEbayvLWyzUG19QBMiXLx8bNmwwPV64cCEVKlQwPW7cuDHTpk0zR7Qnun79OtWqVaN+/fpcvHiR0NBQDhw4gIuLC5GRkak6VlxcHACTJk1i165dHD58mAoVKvDdd9+9jOgmtWrVIiwsjFOnTlG+fHlTAfdFOn36NPXq1aNPnz78+uuvBAcHs2rVKu7fv//CzwWJz+WreO4kdQoXzk26dI6mx9bWVly+fMOMiSStuHjxOhcvXqdPn2bY2dlSqFBOAt6pwfff7zJ3NLFQhQvlJF06h8QHRmPi69WVWwA0a+JDzeqlSe/s+JQjiDzdqTNX2XfgLN061jGtCz1+CXt7W95tURUbG2vKlimAf20PVq89aMakYmmmz9lKn251qFShMDY21ri6pKNwwWw8emRg89Yw+veph0sGJwrmz8p7raqwOvCIuSOLBSlcKEfS90crKy5fvk18fAIzZm3ioyEtcC+ZFysrK7JkdiFvnizmDSzyBlBBEejUqROLFi0C4P79+xw6dIj69eub2hcvXkzTpk1Nj8eMGUPRokUpX748K1euNK0fPnw4EyZMAGDLli1YWVmZet117tyZJUuWANC2bVsqVKiAh4cHDRs25MaNxMLG+++/b9ofIDw8nLx585oKfv80a9YsfH196dKli2mds7MzI0eOJEuWxBfPqVOnUrFiRTw9PalYsSIHD/79obBAgQIMGTIEb29vOnToQJUqVYiOjsbf35++ffs+1vNw69atVKtWjfLly+Pt7c2uXcn/sTx37lyKFi2Kl5dXqoqwderU4fLly6bHZ8+epUqVKpQqVYqmTZsSERFhart+/Tr+/v64u7vj7+9P69atGTNmTLLH/fTTT+ncuTONGjUyrcuVKxcdOnR4bNvIyEi6deuGt7c3Hh4edO/eHYPBAKTuufznc3fp0iXc3NwYPXo05cuXp0iRImzZssW07/r16ylZsiRly5ZlyJAhZMmShUuXLqX4eZOUmzdvA15enfDx6cnZs5d577165o4kaUBCQsL//8v4j3VGws9dNU8gSRPmLfgRL+9++NQczNnw33ivTS1zR5I0Ii4unpFjv2PUsADs7GxM6xOMRozGpNsmJBgJ/+X6K04olirqkYHTP1/j5q0I6jWdRNW6Y+n7v2+5dTuCi5dvExsbT8liuUzblyyei/Bf9OWupM68hdvwqjQAH9+hnD13jffa1OTipZv8cSeSMz9fpXb9kdTw+4gRY5bx4MEjc8cVSfNUUASqVq3KpUuX+P3331mxYgUtWrTAxsYm2W03b97MqlWrCAkJITg4OEnxx8/Pj6CgIAC2b9+Oj4+P6XFQUBB+fonzhHzxxRcEBwdz4sQJqlevbiqGffDBB8ybN4/4+HgAZs+eTffu3bG1fXyet2PHjlGpUqWnXle7du04evQoYWFhzJw5k06dOiVpv3PnDocPH2bZsmUcOJA4PO+nn35ixowZSbb79ddfGTNmDFu2bCEkJITly5fTpk2bx4ZWnzp1itGjR7N3715CQ0N59ChlL+IJCQmsW7eO1q1bJ8nepUsXTp8+zbhx49izZ4+prW/fvvj4+HDmzBmWLFnC7t27n3jskJAQfHx8UpRj0KBBVK9enSNHjnD8+HESEhKYPn26KU9Kn8t/u3//Ph4eHoSEhPDll1+ahs/funWLzp07s27dOo4fP06JEiW4c+fOE/PFxMQQERGRZHne4e1vou7dGxMa+jVbtkymdWs/smZ1NXckSQMKFsxJ7txZmD5jDQZDLL/88htr1u7Vh1j5T7p3rU/okelsWT+a1i1qkDWzi7kjSRqx8JudlCyRm4r/Pwz1L54eBXj0yMDSlT8RGxtPSOivbN91ggcPo82UVCxNREQURqORoN2nWTS7G9vWD8HezpbBI1YSFWUgnZM9trZ//32VIYMTD6P0OVZSp3sXf0IPT2NL4Ehat6hO1swu3Lv/EIADh86yesUQAlcN47drd5gweY2Z04qkfSoo/r927dqxePFiFi1aROfOnZ+43Y4dO2jZsiUuLi5YWVnRo0cPU1vVqlUJCwvj0aNH7Nmzh/HjxxMUFER4eDjOzs7kypX4rdzy5cupUKECpUuXZsGCBYSFhQFQvHhx3N3dWb9+PQ8fPmTFihV07949RfmnTZuGp6cn+fLl48cffwQgNDSUmjVrUrp0aXr27El4eHiSIl/Hjh2fOMfhP/3444+cP3+eGjVq4OnpSUBAANbW1ly5ciXJdjt37qRBgwbkzJkTgF69ej31uLt27cLT05MsWbKwc+dOevfuDUBERARhYWF07NgRgDJlylCtWjXTfjt27DD9jHLkyMHbb7+Ymx8EBgYyefJkPD098fLy4qeffuL8+fPAf3suHR0dad68OQA+Pj5cuHABgEOHDuHh4UGJEiUA6NChA/b29k/MN3HiRFxdXZMsEydOfCHX/iYpXDg3JUrkY+jQr8wdRdIAOztbZs8awM9nLlO9Rl8+HDyH5s1r4OaW3tzRJA0oXCgnJYrnYeiIb8wdRdKAy1dus3L1Af43oPFjbRndnJkzvSubtoRQzW8kn8/YRPPGlXBzTWeGpGKJ/hqK2u7dquTOlRHndA707enP4eALWFlb8Sg6lri4eNP2Dx5E4/zX8FWRVCpcKAcliudm6MhvTb9HPbr4kyljejJlTE+PLv7s2n3SzCnFbKysLG+xULrF6f9r37495cqVo1ixYhQtWjTF+/2ziOTg4ECFChVYtWoVTk5O+Pr60r17d7Zu3UqdOonz1Ozbt48ZM2Zw8OBBsmXLxoYNGxg1apTpGP369eOzzz7j9u3b1K1bl+zZs3PmzBnatGkDJBYtZ82ahZeXF0eO/D3vyIABAxgwYAC+vr5ER0djMBho3rw5u3btomLFikRERODq6kpMTAxOTk4ApE+fsj94jUYjdevWZfny5Y+1Xbt2LUXPTXJq1apFYGAgUVFRBAQE0Lt37yfOPfi0Y/2zrUqVKkRFReHg4MDhw4cpX748Bw8epFmzZk/NAonXuWbNGooVK5Zk/X99Lh0cHEwZbWxsTD1QU2vYsGEMHDjwsWPDqec63pssLi6ey5dvmjuGpBFFi+Zh0aIhpseTp6ykYsUSZkwkaUlcXLxpDkWR/yIk9Ff+uBNJvSaJ0+vExcXz8GEMlXw/Yt7MbpT3KsTKJf1N2/f/32Iqli9iprRiaVwyOJErh1uybcWL5MDW1pqz565T2j0PAD+H/06xIjleYUJJa+JiE98fCxbIjoODnbnjiLyR1EPx/+XKlYuJEyfy2WefPXU7Pz8/Vq1aRWRkJEajkXnz5j3WPmrUKOrUqYO1tTVeXl5MnTrVNNz57t27ZMiQgcyZM2MwGJg7d26S/f39/blx4wbjx4/n/fffB8Dd3Z2wsDDCwsKYNWsWAH369GHHjh1J7nyckJBAdHTi0JS/ior58uUDYObMmc/93NSrV4+goCBOnDhhWvfPYuZfateuzY8//miaE/Krr1LWAyxdunQsWLCALVu2EBoaiouLC15eXqY5J0+fPs2+ffuSnOev67558yabNm0ytR04cICwsDAOHz4MwP/+9z8WLVrE5s2bTdvcuHGDb755vLdH06ZN+eyzz0xzVt69e5fz58+/0OfynypXrsyJEycIDw8HYOnSpaY5G5Pj4OCAi4tLkiWxoChP8/BhNGvW7CYi4iFGo5Hw8CvMmRNItWplzB1N0oiz4VeIiorGYIhj27ajrFmzl169mpg7lligh1HRrFl3wDR0MPzcNebM20K1Ku4AxMbGExMTS3yCkYT4BGJiYomNfb4vqeTN08Dfi+0bR7D+u8Gs/24w40e1xtnZgfXfDaZkiTycOfsbBkMc0dEGvl9zkCPB5+nQtqa5Y4sFadm8EktX7ufmrftER8cya34QPt5FSJ/ekbf8yzJ9zlYiIx9x6cptlq7cT4tm3uaOLBbiYVQ0awIPJn1/nP8j1aq44+hoT+OGFZn/9XbuR0QRERHF/K+3U6eWh7lji6R56qH4D/+eFy85b731FkeOHKFcuXK4uLjQoEGDJO1+fn4MGTLEVECsW7cua9euxdfXF4D69euzdOlSihcvTubMmfHz80vSy8/KyoouXbqwfPnyp879lytXLn766SeGDx/OmDFjyJw5Mw4ODtSsWZPq1avj4uLC+PHj8fb2JkuWLEnmJ0ytIkWKsHz5cnr06EFUVBQGgwEvL6/HeiyWLl2aMWPGUL16ddKnT28a5psSuXLl4sMPP2TUqFFs3LiRJUuW0KlTJz7//HOKFi1KjRo1TNtOnz6dDh064O7uTq5cuahUqRJubm7JHrdMmTL88MMPfPTRR3zwwQc4OzuTIUMGhg4d+ti206ZNY+jQoXh6emJtbY2trS2TJk2iSJEiL+y5/Kds2bKxYMECmjZtioODA3Xr1iV9+vRPvBZ5PlZWsGnTASZNWo7BEEumTC74+3vTt2+AuaNJGvHDD4dZuWInMQYDJYrnY9as/pQons/cscQCWWHFpi1HmPT5GgyGODJlyoB/XS/69k68sdjIMd+ybsMh0/ZLV+ymWePKfPpJRzMlFkvi5GSPk9PfU6tkyuiMFZAjuxsA3y7fy/adJ4iPT8CrbEG+mdeH7Nk037CkXPdOtbgfEUXj1ok3ZqxUoTCTxiV+bh41pCmjPllDjQaf4OhgR9tWVWj6dnlzxhULkvj+GMykz9f9/+f5DPj7edK3d+LUV8P/F8DYCd9Rp8Eo7O1sqe1bhqGD3zFzajEbCx5CbGmsjMZ/39NNzO3tt9+mVatWtGvXztxRXkuPHj3Czs4OW1tb7ty5Q+XKlVm6dOkzb1LzOoqMjCRDhgxA4hyOw4YN4+eff07lUUJefDARAMqD8fHeyCIvhJU3GHaZO4WkVfa14NEP5k4haZVTA3i43twpJK1ybgIxQeZOIWmVg5+5E7x0xs2WN1LIqqFlvqeoh+JrJDg4mNatW+Pu7m6aM1Ee98svv9C+fXuMRiMGg4HevXtbZDEREodPf/fdd8THx+Pi4pLsXaJFRERERERERF4n6qEoYvHUQ1FeFvVQlJdIPRTlZVIPRXmZ1ENRXib1UJSXST0UX0vqoSgiIiIiIiIiImIumkPxldFdnkVERERERERERCTFVFAUERERERERERGRFFNBUURERERERERERFJMcyiKiIiIiIiIiIjls1K/uVdFz7SIiIiIiIiIiIikmAqKIiIiIiIiIiIikmIa8iwiIiIiIiIiIpbP2srcCd4Y6qEoIiIiIiIiIiIiKWZlNBqN5g4hIiIiIiIiIiLyXxi3vmPuCKlmVW+NuSM8Fw15FrF0xmBzJ5C0yqoCJBw0dwpJq6x9IHqbuVNIWuXoDw/XmzuFpFXOTeD+d+ZOIWmVayu9P8rL4+hv7gSShqigKCIiIiIiIiIils9Kcyi+KppDUURERERERERERFJMBUURERERERERERFJMQ15FhERERERERERy2elfnOvip5pERERERERERERSTEVFEVERERERERERCTFVFAUERERERERERGRFNMciiIiIiIiIiIiYvmsrMyd4I2hHooiIiIiIiIiIiKSYiooioiIiIiIiIiISIppyLNYhAIFCuDo6MipU6ewtU38ta1QoQJTpkzB19f3pZ23Y8eOLF++nLNnz1KoUCEAPvzwQ9KnT8+YMWNSfbwxY8YwdOhQHB0dTcf39PSkf//+LzC1PEl0tIFGjYdy924kwUfnmzuOWKily4JYu24f5879Ro0aZZj9ZT9TW99+X3Ls2C9EPYrBzS09Ae/UoHevxmZMK5YqOtpAo4CJ3L33kOB9k7hzJ5IJU9ZyNPg8Dx5Gky9PFj7o/RZ1fMuYO6pYiKGjv2PTD2HY2dmY1i2a3Q2vsvkBuHL1DmM/C+T4ySs4OtrR/t1qdOvoa6a0Ymm8ao5P8thgiKNQwaxsXN4nRe0iKfXv98d/+uNOBG81/YScOTOy/vuhZkooZmetIc+vigqKYjFiYmJYuHAhPXr0eCnHj4uLMxUr/yl37tx89NFHrFix4j8f++OPP6Z///6mgqK8WtNnrCZXrizcvRtp7ihiwbJldaN3z0YcOHiGGzf/TNLWp08TChbIgb29Hb//foeu3T8nd+4sNGlcxUxpxVJNn72FXDkzcffeQwCiHsXgXiIPg/s3JltWV3bvPc3AIYtZvfxDihTOaea0YinebeHDR4Mf/5IjPj6BXgMW4+dbijnTOnL12h06915AjuyuNGrgZYakYmlC94xI8rhRm1k0rFs6xe0iKfXv98d/GjtxFSVL5OHe/cfbROTF05BnsRhjxoxh3LhxREVFPdYWGRlJt27d8Pb2xsPDg+7du2MwGACYOnUqFStWxNPTk4oVK3Lw4EHTfgUKFGDIkCF4e3vToUOHZM/bvXt39u/fz7Fjxx5ri4+PZ/DgwZQuXZrSpUvzwQcfmM7bsWNHOnfuTI0aNShdujQ9e/YEoHr16nh6enLr1i0Afv75Z+rUqUOxYsVo3ry5aX95sU6dusi+n47Trevb5o4iFs7fvwJ+fuXJmDH9Y23Fi+XF3t4OSJwP2trKisuXb77qiGLhTp25wr79Z+jWyc+0Lm+eLHTpUIcc2TNibW1Nbd8yFCyQjbATl8wXVNKMi5dvc/Hybfr08MPOzoZCBbIR0KQi3689bO5oYoFOnP6NCxdv0+zt5IvRz2oXeZLk3h//ErTrBPfvR9Hk7YpmSCbyZlJBUSxG2bJlqVWrFtOmTXusbdCgQVSvXp0jR45w/PhxEhISmD59OgDt2rXj6NGjhIWFMXPmTDp16pRk3zt37nD48GGWLVuW7HmdnJwYPXo0Q4YMeaxt3rx5HD16lJCQEMLCwrhw4UKSfCEhIWzevJmzZ8/y1VdfAfDTTz8RFhZGtmzZAAgLC2Pjxo38/PPP3Lx5kzVr1iSbIyYmhoiIiCRLTExMCp45iYuLZ+SoBYwa1RE7O3XMlpdrzMdLKOvVHd/ag4iKiqZZs2rmjiQWJC4unpEfr2DU8JZPfb26cyeSCxdvUrxY7leYTizd+s0hePuOpmHA5yz6dg8JCQkAJCQYEzcw/r1tQoKR8F+umyGlWLrVG45Rw6cI2bO6PFe7SHKe9v4YGfmIT6es4+MRrcyUTuTNpIKiWJRx48Yxffp07ty5k2R9YGAgkydPxtPTEy8vL3766SfOnz8PQGhoKDVr1jT1EgwPD+fRo0emfTt27IjVM24t37FjR65du8b27duTrA8KCqJjx444ODhga2tLt27dkmzTokULMmTI8NRjN2vWjHTp0mFjY4O3tzcXLlxIdruJEyfi6uqaZJk4ceJTjy2JFi7cRMmS+alYsaS5o8gbYMzo9oSGfMXqVaNp0qQqri7pzB1JLMjCb3ZQskQeKpYv8sRtDLFxDBjyNQ38vShTKt8rTCeWrF3rqvy4bjAHd4zmk1EBLFmxnyXL9wFQMH9WcufMyPQ52zAY4vjlwg3WbDjKg4f64lJSJ+qRgc3bThLQpPxztYs8ydPeHydPW0+zxpUokD+bGZLJa8fK2vIWC6WuOmJRChQoQJs2bRg/PunEzkajkTVr1lCsWLEk6w0GA82bN2fXrl1UrFiRiIgIXF1diYmJwcnJCYD06R8ftvhvNjY2TJgwgaFDhz71JjD/Lkym5Nj/nE/RxsaGuLi4ZLcbNmwYAwcOTLLOwcEBOPnMc7zJLl++wcrvdrBu7QRzR5E3iLW1NWVKF+Tw4Z/5bNJ3fDK+s7kjiQW4fOU2K1ftY913j/eI/4shNo6+gxbi5GjPuNHvvsJ0YulKlcxj+renR366dfRl/aZjdHyvBnZ2Nsye1oGJn2+kev3x5MjmSvPGFfhujYY8S+r8uOM0To52+FYt9lztIsl52vtj8LHzHAv7lbXf/c8MyUTebCooisUZMWIEJUuWxM7OzrSuadOmfPbZZ8ydOxdbW1vu3r3LnTt3yJYtGwaDgXz5EntwzJw587nP27RpUyZNmsTatWtN8y36+fmxZMkS2rRpg7W1NQsWLMDf3/+Jx8iQIQP379/Hzc0t1ed3cHD4/wLivxgfXyV/CwkJ548/IqhXfxCQOFzi4cNoKlXuwby5gylb9sm9gET+q7i4eM2hKCkWEnqBP+5EUq/xOOCv16sYKtUcyryZPSlZMg/9PlxEbGw8c6Z3w15TOMh/YP2vu2AWLZyDRbO7mR5Pnr6FiuULvepYYuFWrQ+haUNPbG1tnqtdJDlPe38sUyofV6/9QXW/xBv/GAxxxMTEUqnmUDauHka2rK7mjC6SpumTqFicLFmy0LdvX0aNGmVaN23aNIYOHYqnpyfW1tbY2toyadIkihQpwvjx4/H29iZLliy0bt36P537s88+o0aNGqbH3bt358KFC5QrVw4AX19f+vfv/8T9Bw0aRN26dUmXLh3btm37T1kkZRo0qEyVKv+4y2DYeUaMmM/6wAlkyqQPGJJ6cXHxxMfHExeXQEKCkZgYA1ZW1ty+fY9Tpy9SrWoZnJzsCTt+gW+Xbqfde3XNHVksRAP/clSpXNz0OPT4JUZ8vJz13w8hU8b09B+8iEePYpg7s6fp5j8iKbVl23FqVCmOs7MDp37+jflf76ZNSx9T+9lz18mXNzO2ttbs3vsza9YfZfFX3c2YWCzNr5f/IPTEVSaObPZc7SJP8rT3x/TOjjx4GG1q+3FbKKvWHmThV73JnOnpU09JGvWM6czkxbEyGo3q3yRiyYzB5k5gUQ4fPkOf96cRfHS+uaO8/qwqQMLBZ2/3hpn55Tq+nLU+yTrvisX5dGI3Bg+Zx7lzV0lIMJItmxtNGlehR/e3sba23LlRXhprH4jWFytPc/joL/QZMJ/gfZM4EvwL7brMwMHBDpt/9Czr0dWfnl3rmTHla8rRHx6uf/Z2b5C2XeYQ/st14uMTyJbNhYAm3nRpX8P0+jRt1o+sXH2ImJhYShTLxeD+DSnvWcC8oV9Xzk3g/nfmTvHamTRjKydO/8bSuV2eq13+n2srvT8+wz/fH/9t7fpDfLNsN+u/H2qGZBbA8cmj6dIK4+625o6Qala+yd8g9nWngqKIpVNBUV4WFRTlZVJBUV4mFRTlZVJBUV4mFRTlZVJB8bVkqQVFdZkQERERERERERGRFNMciiIiIiIiIiIiYvk0h+Irox6KIiIiIiIiIiIikmIqKIqIiIiIiIiIiEiKaciziIiIiIiIiIhYPiv1m3tV9EyLiIiIiIiIiIhIiqmgKCIiIiIiIiIiIimmgqKIiIiIiIiIiIikmOZQFBERERERERERy2dtZe4Ebwz1UBQREREREREREZEUszIajUZzhxAREREREREREfkvjPs6mDtCqllV+8bcEZ6LhjyLWDpjsLkTSFplVQESDps7haRV1pUgepu5U0ha5egPD9aZO4WkVembwf2V5k4haZVra4j+0dwpJK1yrG/uBC+flYY8vyoa8iwiIiIiIiIiIiIppoKiiIiIiIiIiIiIpJgKiiIiIiIiIiIiIpJimkNRREREREREREQsn5X6zb0qeqZFREREREREREQkxVRQFBERERERERERkRTTkGcREREREREREbF8VlbmTvDGUA9FERERERERERERSTEVFEVERERERERERCTFVFAUERERERERERGRFNMcimlYgQIFcHR05NSpU9jaJv6oK1SowJQpU/D19X1p5z158iT9+vXjzp07xMfH4+TkxNdff03p0qWf+5iLFy+mcuXKlChRwvQ4MDCQwMDAZ+576dIlChcuTJkyZYiPjyc2Npbq1aszevRo8uTJ89yZnsXX15f+/fvTtGnTl3YOSZ3oaAONGg/l7t1Igo/ON3ccsVBLl21n7bqfOHfuN2rU8GD2l/1NbV9MX82OHce48OvvtG3jx0fD3zNfULFo0dEGGgVM5O69hwTvm8SdO5FMmLKWo8HnefAwmnx5svBB77eo41vG3FHFwuzYc4YZX23n8pU/SJ/ekT7d6vBuQGXadZ9L6Ikr2NnamLb9cd2HZM/qYsa0Yim8an6S5LHBEEehglnZuLw3AFd++5Oxkzdz/NRvODra0b5VZbq1r2aOqGLhEt8fP/v/98dPAWjXZSahxy8mff3aMILs2VzNFVPMyVpzKL4qKiimcTExMSxcuJAePXq8lOPHxcWZipV/effddxk3bhzNmjUD4OrVqzg4OPyn8yxevBg3NzdTQTG1MmTIQFhYGAAGg4Hx48dTpUoVTp48iaur3mjeFNNnrCZXrizcvRtp7ihiwbJldaN3zyYcOHiaGzf/TNKWP392PvywFatW7TZPOEkzps/eQq6cmbh77yEAUY9icC+Rh8H9G5Mtqyu7955m4JDFrF7+IUUK5zRzWrEUew+E8/GngUwe14oKXgV58DCaP+48MLV/2LcBHduoyCOpF7rnoySPG7WZTcO6iZ0J/o+9Ow+P6ez/OP6erBISBKHUviS2GEtiaSyJCKpaVGurvZbSokXRoraHtvyqitLW1loeagvVVmtJWvseQVAh9q0lSGSdzPz+yGMqFRraGInP67rOdZmzzeecOWYm37nv+6Smmnlj8BKCGnoz6/86cu5CDD3e/IYinu60bOZji7iSjU37/EeKPpPf+vl4x5BBL9LttUa2CSXylFKX5xxuzJgxjB8/nvj4+HuWxcbG0qtXL/z8/PDx8aF3794kJycD8Mknn+Dr64vRaMTX15cdO3ZYtytVqhTDhg3Dz8+Prl273rPf8+fPU6xYMevj4sWL4+npCcDVq1dp06YNVatWpUqVKnzxxRfp9nun6AdprSnDwsKYM2cOe/fu5e2338ZoNPLDDz8AEBcXR4cOHahatSq1atXi1KlTmTonTk5OjBs3jmLFirFo0SIAoqKiCAoKwsfHB6PRmK7lo8Fg4MaNG9bHBQsW5PTp0wBs374do9FI1apV6dGjB9WqVSMsLOye51yyZAm1a9emevXqVKtWje+++866bMKECVSsWBGj0YjRaOTMmTOZOg55OIcPR7N1y0F6vf6CraNINhcc7EtQUE3y589zz7LWrerTsEE18uRxsUEyySkOR55l67ZIenUPss4r/mxBenZtTJHC+bGzsyOwUVVKl/IkPOK07YJKtjNt1gb692pM7Vplsbe3I6+7K2VLe9o6luQwEUfOczL6d1q/YAQg+swfRJ+9Rv9ejXB0sKdMyYK0fbE634bss21QyXYOR55j67aj6T4fRcR2VFDM4apVq0ZAQABTp069Z9ngwYOpX78+u3fv5uDBg5jNZqZNmwZA586d2bNnD+Hh4UyfPp3u3bun2/batWvs2rWLxYsX37PfUaNGERAQQOPGjXn//fc5cOCAddlbb72Fl5cXhw4dYvPmzUyYMIGdO3c+8Bhef/11atWqxdSpUwkPD+f5558HYM+ePUycOJFDhw4RFBTERx999FDnxs/PjyNHjgDQqVMnXnnlFSIiIli+fDk9e/b828JecnIy7dq1Y+rUqRw6dIjOnTsTERGR4bpNmzZl586dHDhwgDVr1tCrVy+SkpKIiYlhypQp7N+/n/DwcLZv307hwoUz3EdSUhK3bt1KNyUlJT3UMT+tTKZURo2ew+jR3XB0VMNsEXlymUypjBr7X0a/9+oD36+uXYvlZPQVvCoUu+86IneLT0jmyNELXLl6i6atp/Bc8AQGvLuYq7/fsq4za85m/ALG0qrjNELWqdgjj2bF2v00qFvO2l3ebLGkLbD8uY7ZYuF41BUbpJPsKu3zcSmj32uLo6P9PctnffUzfvVH0OrVjwn5brcNEsoTw2CX/aZsKvsml0wbP34806ZN49q1a+nmh4SEMHnyZIxGI9WrV2fLli1ERUUBcODAARo2bEiVKlXo27cvx48fJyEhwbptt27dMBgyHptg8ODBnDp1itdff53r169Tv359li1bBsDGjRut3a89PT1p06YNGzdufKTjqlu3LqVLl7b+++TJkw+1veV/X25iY2PZv38/PXv2BKB8+fL4+/uzZcuWB25/7NgxHBwcCAgIACAgIICyZctmuG50dDTNmzenSpUqtGrViuvXrxMdHY27uzvly5fntdde44svvuD69evkypUrw31MmjSJvHnzppsmTZr0UMf8tJo7dx0VK5bE17eiraOIiDzQ3K83UdH7WXxrlrvvOskpJt4eNp/mwdWpWrnEY0wn2dmtWwlYLBY2hh1h3uc9+TlkKE5O9gwdlfYd7Z03m7Fxzbts+3kkg99szviP17Jh82Ebp5bsJj4hme9/Pkzbl2pa55UuWZBiz+Rj2hebSU42ceLkVVauPUDcbf0wLpk39+vNVPQuluHn4zsDXmDjulFs2zyBwQNbMv7DlWzYdNAGKUWeLmqq8xQoVaoUHTt2ZMKECenmWywWVq5cSYUKFdLNT05Opk2bNoSGhuLr68utW7fImzcvSUlJuLikdePLk+fern53K1y4MB06dKBDhw6ULFmSxYsX065du3vWu7so6eDgQGpqqvVxYmLiA5/j7sKbvb09JpMJgAEDBvDrr78CsHDhQtzc3DLcfs+ePXTu3DnDZXfnsre3z3Su+xVZ27dvz4cffkjbtm0B8PDwIDExEXt7e3bu3Mn27dsJCwujTp06/Pe//6V+/fr37GPEiBG888476ealjU156L55BM6cuczSZZtYvWqiraOIiDzQmbO/s3T5VlYvG3bfdZJTTAwYPBeXXE6M/6DDY0wn2Z2rqxMAnds/R7Fn8gMwoE8TgltPIT4hmeo+Ja3r1q9XgXYv1+aHDRE0CXz0m+rJ02f9piO45HKk0XPlrfMcHez5fHIHJn26nvot/o8inu60aVmdZav32jCpZCdpn4/bWL1saIbLq1crbf13/ecq0q5tPX746QBNGld7XBFFnkpqofiUGDlyJIsWLeLixYvWea1ateKjjz6yFuJiYmKIiooiMTGR5ORkSpRIa/Uwffr0h3qu1atXk5KSAqTdtCUiIsLaci8oKIivvkq7u+7vv//OqlWraNKkCQDlypVj165dAOzevZvjx49b9+nu7s7Nmzcz9fyfffYZ4eHhhIeHU7XqvXe/TE5OZuzYsZw/f55OnTrh5uZGjRo1mD9/PpA2nuLWrVtp0KDBPblWrVrF7dtpAwB7eXmRkpLCL7/8AsAvv/xibeH5VzExMdbWlIsWLSImJgZIax155coV6tevz6hRo/D390/XRfxuzs7OuLu7p5v+6c1ungb79h3njz9u0bTZYGrX6UO//p8QF5dA7Tp9OHgw49dLRMQW9h04yR/XYmn64nhqNxxOv0FfEheXSO2GwzkYcZrkFBMDh8wjJSWV6Z/0xElDOMhDcHdzoWiRfBkuu9Nr42529/mRVORBlq/ZT6sWRhwc0ndJLV/Wk3nTu7BrwzDWLH6D5GQTvtVL2SakZDv7Dpz63+fjf6jd8D36DZrzv8/H9ziYwVjCev8SeTz0TfQpUbBgQQYMGMDo0aOt86ZOncrw4cMxGo3Y2dnh4ODAxx9/TLly5ZgwYQJ+fn4ULFiQ9u3bP9RzrVq1iuHDh+Ps7Exqaip+fn6MHTsWSCv2vfHGG1StWhWLxcL7779P7dq1gbSbk3Tt2pUvvviCunXrUrlyZes+e/fuzeDBg5k6dSoTJz58S7PY2FiMRiMmk4mUlBTq16/P9u3brXd4Xrx4MX379mXGjBkYDAbmzJljLahOnTqVAQMGMHLkSFq0aEGBAgWAtALf0qVL6d+/P2azmZo1a+Ll5UW+fPnuef5p06bRtm1b8uXLR2BgoHXfN2/epG3btty+fRuDwUD58uUzvNGNPLrmzetQr96frSsOhEcxcuRXrAmZiIeH7vAtD89kSiU1NRWTyYzZbCEpKRmDwQ4nJwdSUkyYzWZSU82YzWaSkpKxs7PT2J2SKc2Da1Cvjpf18YGDpxk5dglrvh2GR/48DBo6j4SEJL6Y3hcnJ0cbJpXs6tU2fixatp0G9SqQ192VmV9toq5fWVJTzfyy9Rh+Ncvg5OTA7n2nWLpyF+NHtrF1ZMlGTp35gwMR55g0qtU9y46duEyJZz1wcLAjbOtvrPzuAAtm6juvZE7z4Op/+XyMZuTYpaz59l0cHez5ZcsR/GqVT3v/2nuCpSu2M370vb3j5CmhgvJjY7Bk9JOkiGRKbGystUv1nj17ePHFFzl58iSurq6PL4RF3UUexq5dkfR/cyp793xl6yhPPkMtMO+ydYonzvQZq5gxMyTdPD9fbxZ+8x7DR3zJ6pCt6Za1buXPh5N6P8aE2YRdbUj82dYpnmi79pyg/9tfsXfrx+zee4LOPT/D2dkRe7s/vyj3eT2Yvq83tWHKJ1SuYIhbbesUT5zUVDOTp/3A6nX7Aahdqyyj3n0Re3sDfQZ+zcnTVwEo9kx+unZ8jrYv+doy7pMrT2u4udTWKZ44H3/2MxFHzrPoix73LJs6axNLV+4hKdmEd/kiDB0QTM1qGgM2Q3nbQ+J6W6d4oqV9Ps5l79YPuX49jj5vfcnJ6MsAFCvqQddOjWjbuo6NUz6hcjWzdYIsZ9nTx9YRHprB9wtbR3gkKiiK/AMLFixg6tSpWCwWawvPoKCgxxtCBUXJKiooSlZSQVGykgqKkpVUUJSspIKiZCUVFJ9I2bWgqD5YIv9At27d6Natm61jiIiIiIiIiIg8NiooioiIiIiIiIhI9qcxFB8b3eVZREREREREREREMk0FRREREREREREREck0dXkWEREREREREZHsT12eHxu1UBQREREREREREZFMU0FRREREREREREREMk0FRREREREREREREck0jaEoIiIiIiIiIiLZn53azT0uOtMiIiIiIiIiIiKSaSooioiIiIiIiIiISKYZLBaLxdYhRERERERERERE/glL+Ju2jvDQDMYZto7wSDSGokh2Z9lr6wSSUxlqQep2W6eQnMq+HsT/YOsUklO5Pg/Xv7Z1CsmpPLrC1S9snUJyKs8+EBdi6xSSU+VpZesEkoOoy7OIiIiIiIiIiIhkmgqKIiIiIiIiIiIikmnq8iwiIiIiIiIiItmfwWDrBE8NtVAUERERERERERGRTFNBUURERERERERERDJNXZ5FRERERERERCT7M6jd3OOiMy0iIiIiIiIiIiKZpoKiiIiIiIiIiIiIZJoKiiIiIiIiIiIiIk+4SZMm4evri5ubG56enrRq1Yrjx4+nWycxMZH+/ftToEAB8uTJw8svv8yVK1fSrXP27FlatGiBq6srnp6eDB06FJPJ9FBZNIaiiDwVNm3ex2efreDMmSvkyeNC//6t6dA+yNaxJBtatHgjq0K28dtv52lQvyqfzxiQbvnyFb8wZ956rly5jkd+N94b0ZGgxjVslFayk+Gjl7Dux/04Otpb582b9QbVq5UiOdnEuA9Xsn3Xb8TcuE1hz7y83jWQtq1q2zCxZDdnz8cw7v9+4uCRi+RydqBLO196vVYXgAHvrWR/xHniE1LIl9eFti2r0a+7v40Ty5Ns0coDrPoxkt9O/UGD2qX4fNJL1mWfztnGpi1RnDxznU5tjLw/IMC6LDnZRM/Bq4g6fY2k5FQ8C+ame7uatHvRxxaHIdnIpl8i+Wz2z5w5+wd58uSif68gggOrMPH/vmPP/lPE3U6ixLMFeKtPExo3rGTruGIrdgZbJ8hSv/zyC/3798fX1xeTycR7771HcHAwkZGR5M6dG4C3336b77//nuXLl5M3b17efPNN2rRpw7Zt2wBITU2lRYsWFClShO3bt3Pp0iW6dOmCo6MjEydOzHSWJ7agWKpUKXLlysXhw4dxcEiLWatWLaZMmUKjRo3+9eeLi4tj5MiRrFu3jty5c2NnZ0fjxo2ZNGkSP/74I6GhoUydOpXTp0+zfv16+vbt+9DPsWDBAgYOHEjp0qWt85577jlmzpz5yLnDwsIYNGgQ4eHhj7yPf9uQIUPIkycPY8aMSTd/7NixnDt3jjlz5gCwdetW6tevT2hoqPU17du3L4UKFWL8+PHptn3az538M79uOcjYsfOZ/HE/atXyJi4ugT+u3bR1LMmmPD3z0a9PS7bvPMLlyzHpli37NowF3/zM1Cl9qVixBNeu3SIhIclGSSU76vDqc7w/tPU9802pqRQq6M6C2W9Q/NkCHDx0hl5vfkmRwnnxr+ttg6SS3aSmmnnj3eUENajArMmvcO7CDXoM/C9FCrnTsmll+veoT+kSHjg5OXDx8k1ef3spxZ7Jx0vNqtg6ujyhPAvmoV+X2mzfd4bLV+PSLStZLB9D3mjA8u8O3bOdvb0dIwcFULZkARwc7IiKvkaXgcspW9KDWtWefVzxJZv5dftxxn64msnj21Oremnibifyx7U44uOTqORVlKEDmuNZyJ2wrcd4Z8QSVix8i3JlCts6tsi/bv369ekeL1iwAE9PT/bt20eDBg24efMmc+fOZcmSJQQGBgIwf/58KlasyM6dO6lTpw4///wzkZGRbNy4kcKFC2M0Ghk/fjzDhg1jzJgxODk5ZSrLE93lOSkpiblz52b581gsFl544QVu377NoUOHOHjwILt376ZcuXIkJSXx4osvMnXqVABOnz7N7NmzH/m5AgICCA8Pt07/pCCW3QQEBBAWFmZ9HBoaSu3ate+Zd+eiz2j7p/XcyT8zbdoK+vdrQ+3albC3tyNv3tyULVPU1rEkmwpuUougoBrkz+eWbn5qqpnPpq/m/REdqVSpJAaDgYIF81K8uKeNkkpO4urizMB+zSlRvCAGgwGjTylq+5Zj34FoW0eTbCL67DWiz16jf8/6ODrYU6ZkAdq2rMa3aw4A4FXOEyentB/xDQYDdnYGzpy7bsvI8oQLblieoAblyJ/X5Z5lrZtXpmGd0uRxvfePUnt7O7zKFsLBIe1PUYMhbTpz/kZWR5ZsbNqsn+nfK4jatcqmfZ93d6VsaU+KP1uAnl0aUqRwPuzs7AhsUInSJQsRfuisrSOLZFpSUhK3bt1KNyUlZa5Rws2baQ1lPDw8ANi3bx8pKSkEBf3ZG8/b25sSJUqwY8cOAHbs2EHVqlUpXPjPonvTpk25desWR44cyXTuJ7qgOGbMGMaPH098fPw9y2JjY+nVqxd+fn74+PjQu3dvkpOT+e2336hQoQKQVigsXLgw7733HgC//vprhsWqzZs3ExUVxcyZM3FxSftAdHR0pG/fvuTJk4cFCxbQqlUrIK0F3fHjxzEajbz44ousWLGC4OBg675SU1MpWbIkkZGRD32s7dq1o2XLllSqVInAwECuX0/7EpeSkkK/fv2oUKECderUYfDgwfdtpfnTTz/h7+9PzZo18fPzIzQ0FICOHTuyZMkSAD7//HOcnJy4ffs2AIGBgfz6668ALFy4EB8fH3x8fGjRogUXLlywHtfQoUOpUqUKVapU4a233iI5ORmAS5cu0bRpUypVqkRQUBDnz5/PMFudOnW4ePGidXlYWBijR4+2FhQvXbrE2bNnqVu3rs6d/Gvi4xM5ciSaK1eu07TpYJ7z78eAgdO4ejXm7zcWeQjR0Zf449otIiPPEBg0hAYB7zBy9Hzi4hJsHU2ykTXr9uLX8H1avPwh874JxWw2Z7heUlIKEYfP4lX+mcecULIrs9mS9g+LJd2841FXrY/HTF5PtUYf06jVDOLjU2jdQl1QJev0eXc1VRtP4/nOX1MgvytNGpSzdSR5QsUnJHPk6AWuXL1J09aTeS54PAPeXcTV32/ds+6163GcPH1Vn49Pszu/UmSjadKkSeTNmzfdNGnSpL89VLPZzKBBg3juueeoUiWtR8Hly5dxcnIiX7586dYtXLgwly9ftq5zdzHxzvI7yzLriS4oVqtWjYCAAGvrwLsNHjyY+vXrs3v3bg4ePIjZbGbatGlUqFCBpKQkzp49S0REBGXKlGHTpk0AbNiwIV2V9o59+/ZRs2bNTDXrnD17Nl5eXoSHh7N27Vpat27Nb7/9Zh0Ec+3atZQrV45KlTIesyE0NBSj0Wid7j62Xbt2sWDBAiIjI/H09OSLL74A4Msvv+TEiRMcOXKELVu2EBERkeG+T506xZgxY/jhhx/Yt28fS5YsoWPHjiQlJREUFMTGjRut56FWrVr88ssvxMfHc/DgQerWrcvhw4cZOnQoP/74IxEREdSrV4/XX3/dmmHPnj3s27eP8PBwTp48ac0+YMAA/Pz8iIyM5Ouvv7ae779ycnKiXr16hIaGkpSURHR0NM8//zznz58nMTGR0NBQ6tatS65cuXTuMvBPfrV4mt26dRuLxcLGTfuYN284P//0CU5Ojgx9d5ato0kOc+Nm2g8N23dEsmL5B4SsGsv5838w8cP/2jiZZBedO9Rn/eoR7Ng8nv980J5v/vsr3yz59Z71LBYL749bRskShQhurIKPZE7pkgUoViQf0776leRkEydO/c7KdQeJi//zu8SYoc04sHkoK+Z156XmVcjrlvF3MpF/wxcftyb857dY+NkrBDcsTy7nJ3Y0LrGxW7fi077Ph0Uy7/PX+TnkXZycHBg6amm69ZJTTLw9YgnNg3yoWknd5yX7GDFiBDdv3kw3jRgx4m+369+/P4cPH2bp0qV/u25WeKILigDjx49n2rRpXLt2Ld38kJAQJk+ejNFopHr16mzZsoWoqCgAGjduzMaNG9m4cSOdO3cmKSmJGzdusHHjRho3bvyv5rO3t6dfv37W7rczZ87kzTffvO/6f+22+/bbb1uXNWvWjAIFCgBQt25dTp48CcCmTZt47bXXcHR0xNHRka5du2a47/Xr1xMVFUWDBg0wGo20bdsWOzs7zp49S1BQEJs2bSI1NZXIyEjeeecdNm7cyJYtW/Dz88PR0ZHQ0FCaNWtGsWLFAOjXrx+bN28mNTWVjRs30q1bN5ydnXFwcKBXr15s2LDBmu9O8axYsWK8+OKLDzz+sLAwdu3ahZ+fH5DWcnHHjh2EhYUREBDwwG2f5nP3qL9aPO1cXdP+GOrcuSnFihUid+5cDHjrZXbtiiQ+PtHG6SQnyf2/a61PrxZ45HfDI78bfXq1IDQs3LbBJNuoXLE4Hh55sLe3w+hTil7dG/PDz+Hp1rFYLIyZuILo01f5/JMe2Nk98V/l5Anh6GDP5x+35ehvV6j/4nSGjFlDmxY+5HNP313Vzs5A1YrPkNvVmY+m3/+HTpF/g729HX7Vi3MtJp45/91r6zjyhHJ1dQagc/t6FHsmP7ldnRnQpwm79p4iPiGt51dyiokB7y7CJZcj40e9bMu4Ig/N2dkZd3f3dJOzs/MDt3nzzTdZt24doaGhPPvsnwX0IkWKkJyczI0bN9Ktf+XKFYoUKWJd5693fb7z+M46mfHE/wxUqlQpOnbsyIQJE9LNt1gsrFy50tq9+W5BQUGsW7eOmJgYpk2bxokTJ1i9ejUnTpygVq1a96xfs2ZNpk+fTnJycqYHn7xbr169qFSpEl26dCEqKspaFKpXrx7x8fE4Ozuza9euv93P3S3z7O3t73vLboMh47sWWSwWmjRpYu2e+1fOzs4sXryYmjVr0rhxY/7zn/9gb29/3yLr/Z7nYZb99RwEBAQwd+5cSpQoYe163LBhQ0JDQwkNDWXBggX33e+D5MRz91cjRozgnXfeuScX3DvYtfzJ3T03RYsWyHDZXb2+RP6x0qWL4OzsaOsYkoPY/eUzwWKxMHbSSiIOn2HBF/1wc7t33DKRBylfphDzpnWwPp48czO+1UtkuK7JlKoxFOWxMZnMGkNR7svdzYWiRfJluMxisZCcYmLgsMWkpKQy65OuODk+8WUOkUdmsVh46623WL16NWFhYeluXAtp9S1HR0c2bdrEyy+nFdePHz+ebni5unXr8p///IerV6/i6Zk23vuGDRtwd3e/b2/bjGSLn7VHjhzJokWLuHjxonVeq1at+Oijj6yFo5iYmHQtFDdt2sTp06epUKECQUFBjB07Fn9/f+zt7e/Zf2BgIKVLl2bAgAEkJqa1WDKZTHz55ZfExaW/Y5m7u7t10Ms78ufPz0svvUTr1q3p06eP9Tm2b99OeHh4poqJDxIYGMiSJUtISUkhJSWFb775JsP1mjZtysaNG9N16929e7f130FBQYwePZqgoCDy58+Po6Mjy5cvt3YDDwgIYP369dbzPHv2bBo3boy9vT1BQUF88803JCcnYzKZmDNnjnXsyKCgIObNmwekjQm4du1a63P+9Rz4+vpy9epVFi9enK6guHTpUi5dumRttfhvyc7n7q8e5VcLSfPqq4EsWvQTV65cJzExmZkzV1O3bmVy51ZXLnl4JlMqSUkpmFJTMVssJCWlkJxsIlcuJ15sWZev5v7AzZu3uXUrnq/m/kDjwOq2jizZxA8/HyAuLhGLxcKhI2f5av6mdF2ax324kv3h0cyb9QZ53V1tmFSyq2NRV4lPSCY5JZWfw46xct1B3ujuz4VLN/kp9Bi345Mxmy3sjzjPwuV78a9dxtaR5QlmMplJSjJhSrX87/PQRHJKKgApplSSkkykmi2YU9OWpZjSlh09cZVte86QmJSCyWQmbPspvttwFH+/krY8HHnCvdqmNouWbefK1ZskJqYw86uN1PUri5OjA4OGLSYhIZnP/6+L9eZS8hQz2GW/6SH079+fRYsWsWTJEtzc3Lh8+TKXL18mISFt3Pa8efPSs2dP3nnnHUJDQ9m3bx/du3enbt261KlTB4Dg4GAqVapE586dOXjwID/99BMjR46kf//+D1VjyBb/2woWLMiAAQMYPXq0dd7UqVMZPnw4RqMROzs7HBwc+PjjjylXrhyFCxemcOHC1taIDRs25OLFiwwePDjD/RsMBr7//nvef/99KleujIuLC2azmRYtWtwznp+Pjw+VK1emSpUqlClTxloA6tWrFwsWLKBXr14PPJY74wDe4eXlxbJlyx64TZ8+fTh06BCVKlUif/781KpVK11x9Y5y5cqxZMkS+vTpQ3x8PMnJyVSvXt3a6i4oKIhZs2ZZi2BBQUF89dVXVKtWDYAqVaowefJkmjVrBkDx4sX56quvAOjduzcnT56kRo0aADRq1IhBgwYBMG3aNLp160alSpUoVqzYfe/SDGk3u/H39+fgwYN4e3sDUKFCBWJjY/H398fR8f6te572cyePrnevF7l5I44XX0obh6J27Up8/NEbNk4l2dWs2d8x4/M11sc+1Xvj5+vFwq+H897wjoybsJDGwUNxcnIkMMDI8GHtbZhWspPFS7cyevy3pKaa8fTMS4dXn6NH50YAXLh4nSXfbsPJyYHA58dZt2n5fE3GjXzVRoklu/lxUyRLVx0gKdmEdzlPZn7YFu9ynly4dJOvl+3m/YnfYzZb8CyYh9deqUXvLvVsHVmeYLO+2cmM+Tutj32CPsPP+CwLp7/KqI82sHr9nzepXLQqnNbNKvHh+80wpZr55MutRJ+NwWCAYkXcGf5mI1o2qWiLw5Bsone3Rty8Gc+L7T8FoHatsnw8rj0HIs6w6ZdInJ0dqNP4z8/HPj0C6NtDf1tJzjNrVtq9AP56s9n58+fTrVs3IK1eZmdnx8svv0xSUhJNmzbl888/t65rb2/PunXreOONN6hbty65c+ema9eujBs3jodhsFjU6e/fMGXKFI4ePcrcuXOzZP+xsbG4ubmRkpJCp06dqFmzJsOGDcuS58ppcvy5s2i8GckihlqQut3WKSSnsq8H8T/YOoXkVK7Pw/WvbZ1CciqPrnD1C1unkJzKsw/Ehdg6heRUeVrZOkGWs0Rm3JDsSWao9H+2jvBIskULxSdd5cqVMRgMrF+/PsueIygoiKSkJBITE/H392fAgAFZ9lw5jc6diIiIiIiIyFPgAfclkH+XCor/giNHjmT5c/zTcRifZjp3IiIiIiIiIiL/nmxxUxYRERERERERERF5MqigKCIiIiIiIiIiIpmmLs8iIiIiIiIiIpL9aQzFx0YtFEVERERERERERCTTVFAUERERERERERGRTFOXZxERERERERERyf7s1G7ucdGZFhERERERERERkUxTQVFEREREREREREQyTQVFERERERERERERyTSDxWKx2DqEiIiIiIiIiIjIP2H5bbitIzw0Q4UPbR3hkeimLCLZnXmHrRNITmVXF5I22jqF5FTOQXBxmq1TSE5VdCCWY0NtnUJyKIP3ZCwbXrV1DMmhDE2+xRI91tYxJIcylP7A1hEkB1GXZxEREREREREREck0tVAUEREREREREZHsz2CwdYKnhlooioiIiIiIiIiISKapoCgiIiIiIiIiIiKZpoKiiIiIiIiIiIiIZJrGUBQRERERERERkezPoHZzj4vOtIiIiIiIiIiIiGSaCooiIiIiIiIiIiKSaeryLCIiIiIiIiIiOYDB1gGeGmqhKCIiIiIiIiIiIpmmFoo5RKlSpXB2dsbFxYWEhAS6d+/O8OHD2bt3L5MnT2bZsmVZ9tyHDx/mhRde4PTp0w9cLywsjEGDBhEeHv5Q+z99+jRGo5EbN26km28wGIiJiSFfvnwPtb9/0/PPP8/UqVPx8vJ66G1LlSpFSEgIRqPx3w/2lFu0eCOrVm/lt9/O06BBVT6fMfCedf744ybPv/AezzzjwZrV422QUrKr8ZO+ZePmg8TGJZI7tzPNmtRg6DutcHJ0IOrkJcZP+pbIo+dwcnIgsJEP773bFhcXJ1vHlifUotWHWLX+GL9FX6OBX0k+n9AcgGsx8UycuY09By8SF59MiaJ5eaubL42fK23ddtvec0z5cgenz9/kGc88DO/3HA38StjqUOQJtOj7aFZvOstvZ2JpUNOTme/5WZcdjrrBxDmHOX76FvndnXizvRetAotbl4+aeZA9h//gzKXbDO9Rma4vlrXFIcgTKjnFzPjlF9h+PI6YOBOF8znyelAhXq5bwLrO8u3XmLvxd67cSCF/Hnveb1uMxj55AbhyI4VRS86xJ+o2+XLb80azwrz6XIH7PZ08hRatPc7qDdH8dvoGDWoVZeYHDdItX/5jFHNXHOXKH/Hkz5uL99+oSeO6z5KcnErP90M5efYmSSmpeHq40q2NN+2eL2ejIxHJuVRQzEGWLVuG0WjkwoULVKpUicDAQPz8/P7VYqLJZMLBQZfNHT/88IOtI0gGPAvlo1/flmzfEcnlK9czXGfchIVUrFiCGzfiHnM6ye46tmvA4IEv4erqzPWYOAYOmcOc+Rvo17s5g4fPp3q1Mnw1qz9xsQn0eXMWn3/5I4MHvmTr2PKE8izgSr/ONdm+7zyXf79tnR+fkEKl8gUZ2qcungVyE7bzDO+M/5kVs9pSrpQH5y7e5M1RP/LJ6GAa1i7JL7vOMOCD9Xw3tx3Fi+a14RHJk8TTw5k3Xq3A9oO/c+VaonX+rbgU+ozbyVsdvHnlPyU5HHWDnmN2ULyIKzUrpRV1vEu587x/UT5ddMxW8eUJZjJbKOTuyPw3y1C8oBMHT8fT+/NoCudzwr+iG8u2XuPr0N/5pHsJKj7rwrVYEwnJZuv2gxecoURBJ7ZNqsSJS4m8PvMUpTyd8Sufx4ZHJU8STw9X3uhQme0HLnPlj4R0y5b9EMXXq4/xyYjnqFg2P9duJJKQmAqAvb2Bkf1qUbaEOw72dkSduUnXYZsoW8KdWlU8bXEoIjmWujznQMWKFcPb25szZ84QFhZmbQHXq1cvpkyZYl0vOjqaIkWKkJKSQkpKCsOHD8fPzw+j0cirr75KTEwMAN26daNHjx40aNCAKlWqADBmzBjKly9PzZo1Wbp0qXWfJpOJpk2bUqtWLSpXrkzHjh25ffvPP5Du9tNPP+Hv70/NmjXx8/MjNDT0kY/5xIkTtGjRAl9fX3x8fJgxY4Z12Zo1a6hYsSLVqlVj2LBhFCxY0Nqa8n7bffnll/Tu3RuAyMhIDAYDP//8MwDjxo1j3LhxQForwzstLidMmEDFihUxGo0YjUbOnDkDwI4dO/D396datWr4+PiwZs0aa7ZVq1ZRt25dSpcuzYQJEx75+CW94OBaBAXVJH/+jL+Ubty0n5s3b/PSi/UeczLJCcqWKYKrq3PaA4sFO4OBM2d+B+Dc+Wu8+IIfTo4OeHi4EdjIh99OXLRhWnnSBTcoS5B/GfLnzZVufvGieenZrjpFCuXBzs5AYL1SlC6ej/DIKwD8uvsclSoUIqBuKezsDATULUVVb09Cfj5ui8OQJ1Rw3aIE1XmG/O7pW0kfOHYdJ0d72jcvhb29gWpe+WlS5xmWbzhrXadTi9LUrVYIJyf9uSD3cnW2Z8ALRShRyBmDwYCxdG5qV8jD/pO3STVbmP79Zd5rW4xKxV0xGAwUdHekeMG0z86zvyex/+Rt3nnxGVyd7alWKjcta+Vn5Y6MfwSWp1Owf3GC6hUnv7tzuvmpqWamL4zgvb41qVTOI+36yu9C8WfSvvfb29vhVTofDvZp710GQ9p05mLsYz8GsZE7L3p2mrIpNTXLgY4dO8a1a9do1KgRR44csc7v3r07vXv3ZsiQIQAsWLCATp064ejoyMSJE8mdOze7d+8GYPz48YwcOZKZM2cCsG/fPrZu3Yqbmxvff/89y5cvZ9++fbi5udG5c2frc9jb27NkyRIKFCiAxWKhX79+TJ8+neHDh6fLeOrUKcaMGcNPP/2Eu7s7UVFR1K9fn9OnT+PsnP5DAyA2Nva+XYNTU1Pp0KEDixYtwtvbm/j4eOrUqUPt2rUpWbIkPXr0YNu2bXh7ezN//nyuXbv2t9sFBQXx4YcfArBhwwbq1q3Lxo0bCQ4OZsOGDXz00UfpMsTExDBlyhQuXbqEi4sL8fHx2NnZcf36dVq1asWKFSuoX78+ZrM5XdftGzdusGPHDv744w/Kli1L9+7dKVasWIbHmZSURFJSUrp5zs7OODtmuLrcR2xsPB9+9F/mfDmY/QdO2DqOZFNfzv2ZWV/+SHxCMvny5WbI260A6NG1MSHf7aKS97PExiWwYfNBXn1ZhWv5567FxHPyTAxeZdNaj1ksFiyW9OtYzHD81DUbpJPsxmyxYPnLBWS2WDhxRn9wy6NJSjETcSaeFrXyEX0liT9iTUSei2f0f8+RaoYGldwY1rooeVzsOX4xkUJ5HSno/ueXWO9nXfjvlj9seASSXUSfj+WPmEQio64zetpuUs1mGtQqyrBeNciT+89rqs/oMHYcuExyihmv0vloUq/4A/YqIo9CPznmIO3ataNixYpUqlSJt956i0KFCqVbXq9ePUwmE3v27MFisfDNN9/QvXt3AEJCQli0aJG1dd1///tfoqOjrdu+8soruLm5AbBp0yZeffVV3N3dMRgM9OnTx7qexWJh6tSpVK9eHR8fH77//vsMx0xcv349UVFRNGjQAKPRSNu2bbGzs+Ps2bP3rAvg5uZGeHh4uumO48ePc+TIEdq3b4/RaKRevXrExsYSGRnJzp078fHxwdvbG4CuXbvi5OT0t9uVKVMGSCt8bty4kUmTJrF582bi4uKIjIzEz88vXT53d3fKly/Pa6+9xhdffMH169fJlSsXO3bswMvLi/r16wNgZ2eHh4eHdbuOHTsCULBgQcqUKZPunP/VpEmTyJs3b7pp0qRJ911fMjZ5yre0buVPqVJFbB1FsrHePYM5sGsqP4SMov0r9SlUwB2ABv6V2b//JDXqDsY/8D2eKZKfl1upoCj/THJKKm+P30DzRuWo6pXWXatezWc5dOwqG7eewpRqZuPWU+w/fIm42yk2TivZgdHLg4SkVBZ9H02Kycz+o9fYuPMycfG6fuThWSwWRi45R8lCTgRXy8vNeBMAO47HsfLdCoQMr8D5a8lMWpXWYj8+KRV3F/t0+3B3sed2ovmefYv81c3YtAYWOw5cZuX0poTMbM75y3FM+mJfuvW+GNeIAyGv8s3HjQn2L04uJ/uMdici/4BaKOYgd8ZQ3LhxIy1btiQwMPCedbp37878+fOJi4ujYMGC1i7MFouF6dOnExwcnOG+8+S5/3gmhrua6C5ZsoTNmzfzyy+/4O7uzmeffcbmzZvv2cZisdCkSROWLFlyz7IBAwbw66+/ArBw4UJrIfN+LBYLHh4eGRYu165d+0jbAQQFBfHjjz9y4sQJGjZsiMViYeXKldStW/eecSTt7e3ZuXMn27dvJywsjDp16vDf//73gbkBcuX6s4ubvb09JpPpvuuOGDGCd955J928tNac+//2eSTN3r3H2b//BKtWjrV1FMkhypYpgrdXMYaPWsi0/3ud7r0/Y0C/F+jQrj4JCcmMn/QtQ99bwKeTe9o6qmRTySmpDBjzEy7ODowf0sg6v0yJ/EwdHcyMr/fw3seh1KhShOcDy2Ey6Q9y+Xv53Z2YNdKPj+dHMv2/xyhX3I02jYtz8HiMraNJNmOxWBi77ALRV5KY/1ZZ7OwMuDqnFW56B3uSP4+D9d+D56c1HHB1tic2ITXdfmITU8mdS21d5O+5uqS1QuzdrrJ1uJDe7Soz+MNt96xrb2+Hn09h1v96lrkrjvJGxyqPNatITqd37RwoKCiIN954g5EjR96zrHPnzixfvpzZs2fTo0cP6/xWrVoxdepU4uPjAYiPj0/XXfqv+1++fDmxsbFYLBa+/PJL67KYmBgKFiyIu7s7sbGxLFiwIMN9NG3alI0bNxIREWGdd6e79WeffWZthVi1atW/PV4vLy/c3d2ZP3++dV5UVBTXr1+nTp06REREcPx42phSixYtIjk5+W+3u3OckydPtrZGDAwM5IMPPiAoKOieDLGxsVy5coX69eszatQo/P39OXDgAPXq1ePEiRNs2bIFALPZbN3/w3J2dsbd3T3dlFH3cLm/HTsjOXf+d+o3HETtum8yfsJiTpy4QO26b3L16g1bx5NsypSSypmzVzl77neSElPo0qkRTo4O5HV3pX1bf3759bCtI0o2lZySysAxP5GSksr0sc1wckzfuiLIvzQhX73K7rU9mT2xBWfO38S3WsbDZoj8VY2KBVj6cX12LWrO4kn+/BGThG8V3WVXMs9isTDu2wtEnI5n7ptlcPtfq8PSns44O95/TDCvorm4ejOFa7F/tog9ej6BCkVdsjyzZH+ln3XD+SFbG6akmjmtMRSfHga77DdlU9k3uTzQqFGj2Lp1K/v2pW/6XbRoUfz8/Fi7di0dOnSwzh82bBi+vr7Url0bHx8f6tSpc9+We88//zxt27alRo0a1KpVixIlSliXdenShfj4eLy8vGjevLm1q+9flStXjiVLltCnTx+qVatGxYoV+fTTTx/pWB0cHFi3bh2rVq3Cx8eHypUr07NnTxISEvD09GTOnDm0atUKo9HIoUOHyJMnD/ny5XvgdgCNGzfm7Nmz1gJikyZNOHPmDI0bN74nw82bN2nTpg1Vq1bFx8eHlJQUunbtSv78+Vm9ejXDhw/Hx8eHGjVqsG3bvb+eyb/LZEolKSkZk8mM2WwhKSmZ5GQT3bs146cfP2TN6nGsWT2OgW+1pnSpIqxZPY4C/+uyKvIgt+MTWRmyg1u34rFYLBz/7QKzvlqPf71KlCldGFdXZ5Ys+xWTKZW424l8u3IbFb01Zo/cnynVTFKyCVOqBbPFQlKyieSUVFJMqQwa+zMJiSY+n9Acpwz+eDp0/CqmVDNx8cnM+HoPN2OTaN3UywZHIU+qtOsrldRUS9rnYXIqySlprVgjT90kOSWVxKRUvv35DLsP/0GXlmWt2yanpG1rMVswpaZta0pVC1j50/hvL7D/1G3mvlmGvK5/9t7J5WTHi775+WrDVW7Gm7gVn8pXG67S2Cftu1aJQs7UKJObqWsvk5BsJuJ0POv23ODluh73eyp5CmX8/pVKLmcHXgwsxVfLI7kZm8ytuGS+Wh5J47rPAnD0ZAzb9l8iMcmEKdVM2K4LrNt8Gv+az9j4iERyHoPlryMyi+QwsbGx1m7TISEhjBgxgqNHj9o41b/IvMPWCZ4402esZsbMNenm+fl6sfCbEenmrVq9ha+/+Zk1q8c/znjZh11dSNpo6xRPlPj4JPoP+pLIo+dITk7Bw8ON4CAjA/q9gIuLE/sOnGTKpyGciLqEvZ0d1Y1leH9YW4o/W9DW0Z88zkFwcZqtU9jc9AW7mfH13nTz/KoV5a1uvnR+ew3OTvbY2/3Z0qdPp5r0fa0mAN2HrOXg0SsYDAaeq/ks773pT5FC9x+i5KlSdCCWY0NtncLmpv/3GDOX/pZunm+VAiz8z3OMmHaAjbsukZpqwejtwYielSlf4s8f1zq/v409h9Pf5Kd/+wq81cH7sWR/khm8J2PZ8KqtY9jUhevJNB59FCcHAw53vUe19M3P2A7PEp+UyrhvL7Ap4iZODnYEVnVnWJui5MmV9uPIlRspjFxyjr1Rt8nrak+/5oV59Tm1kAUwNPkWS7SG55m+MIKZi9P38vCt6snCyUHEJ5oYN2MPm3acx8nRnsA6xRjWuwZ5XB059Ns1xk7fQ/SFWxgwUKxwbjq8UJ72Lcrb6EieLIbSH9g6QpaznMp+x2gokz3/z6ugKDnexIkTWbZsGampqbi7uzNjxgxq1Khh61j/HhUUJauooChZSQVFyUoqKEoWUkFRspIKipKVno6C4hhbR3hohjJjbB3hkeimLJLjvffee7z33nu2jiEiIiIiIiIikiNoDEURERERERERERHJNBUURUREREREREREJNPU5VlERERERERERLI/g+Hv15F/hVooioiIiIiIiIiISKapoCgiIiIiIiIiIiKZpi7PIiIiIiIiIiKSA6jd3OOiMy0iIiIiIiIiIiKZpoKiiIiIiIiIiIiIZJoKiiIiIiIiIiIiIpJpBovFYrF1CBERERERERERkX/CcnqCrSM8NEOpkbaO8Eh0UxaRbG+frQNIjlUTLLttHUJyKoMfmLbYOoXkVA71IWmjrVNITuUcBInrbZ1CcqpczSA51NYpJKdyCrB1AslB1OVZREREREREREREMk0tFEVEREREREREJPszGGyd4KmhFooiIiIiIiIiIiKSaSooioiIiIiIiIiISKapoCgiIiIiIiIiIiKZpjEURUREREREREQkB9AYio+LWiiKiIiIiIiIiIhIpqmgKCIiIiIiIiIiIpmmLs8iIiIiIiIiIpL9GdRu7nHRmRYREREREREREZFMUwvFx6hUqVI4Ozvj4uJCQkIC3bt3Z/jw4baOdQ+DwUCVKlWws7PDbDYzevRoXnnllYfax4IFCwgJCSEkJOSRc3z99dcsXLiQjRs3AnD+/HmKFy/O/Pnz6datGwAffvghR44cYeHChQ+9/08//ZT27dtTpEiRDJc/6PXau3cvkydPZtmyZfdsFxcXh5ubGxaL5aEzSdYYP34BGzfuJTY2gdy5c9GsWW2GDu2Ik5PeAuWfu3LlOmPHfc2+vb+BAerUqcQHo7vi4eFu62iSzSQnpzBuwhK27zxKTEwshQvn5/UezWjbxh+AAYNmsf9AFPEJSeTLl4e2bfzp1/cFG6eW7GT8pG/ZuPkgsXGJ5M7tTLMmNRj6TiucHNM+D5ev3MacBRu5cuUGHh55eG9YW4ICqtk4tWQ3iYnJtGz7ETE3brN364dcvHSdFq0npVsnKdlEA/9KzP6sl41SSnYzfuLS/71/JaS9fwXXZOg7bYi9Fc/Ej5ezZ+8J4m4nUqJ4Id7q9wKN9d4lkuX01/RjtmzZMoxGIxcuXKBSpUoEBgbi5+eX5c9rMplwcMj8y71lyxby5cvH3r17adCgAQEBARQsWDDTz/VvCAgIoF+/fiQnJ+Pk5ERoaCi1a9cmLCzMWlAMDQ2lffv2j7T/Tz/9lEaNGt23oAj3f71q1aqVYTFRnkwdOzZh8OD2uLrm4vr1Wwwc+Blz5nxHv36tbR1NcoCx474GYPPmqVgsFoYMncWECQv55JP+Nk4m2Y3JZKZQobwsmPMOxYsX4mDEKXr1nUaRwvnxf64y/fu1pHSpwjg5OXLx4jVe7/MpxYoV4KWWdW0dXbKJju0aMHjgS7i6OnM9Jo6BQ+YwZ/4G+vVuzrIVW1mwcDNTP+5BRe9nuXY9loSEZFtHlmxo2uc/UvSZ/MTcuA1A0Wc8OLBzsnV5coqJ+kGjadGsuq0iSjbUsX1DBg9q/ef71+AvmTPvZ1o+70ulisUZ+nYbPD3zEvbrYd55dw4r/juccmWL2jq2SI6mLs82UqxYMby9vTlz5gwAUVFRBAUF4ePjg9FoTNeyb82aNVSsWJFq1aoxbNgwChYsyOnTpwE4ceIELVq0wNfXFx8fH2bMmGHdzmAw8MEHH+Dr68uIESPYuXMnNWvWxGg0UqVKFWbNmvW3OWvVqkWePHk4ffo0Q4YMwdfXF6PRSIMGDTh+/Ph9n+tuFy9exNfXl3nz5j3UOSpRogRFihRh9+7dAISFhTFs2DB27NgBQEpKCtu2bSMgIICUlBSGDx+On58fRqORV199lZiYGADmzJlDpUqVMBqNVK1alV27djFu3DguXrxIu3btMBqNhIeHPzDLX1+vsLAwjEajdfkXX3xB+fLlqV69OlOnTk237aO+fvLvKVu2GK6uuayP7ewMnDlz2YaJJCc5d+53mjerTe7cuciTx4Xnn6/NbyfO2TqWZEOurs4MfKsVJUp4YjAYMFYrS20/L/btPwGAV4VncXJyBNI+d9Pey67aMrJkM2XLFMHV1TntgcWCncHAmTO/k5pq5rOZ63h/2CtUqlgcg8FAwQLuFH82cz8mi9xxOPIcW7cdpVf3oPuus3HzISxmC8GN1YJMMq9smWfSv3/ZGThz9irFixeiZ7dgihTJj52dHYGNfChdqjDhEdG2DSy2YzBkvymbUgtFGzl27BjXrl2jUaNGAHTq1IkePXrQp08fTpw4QZ06dahevTouLi706NGDbdu24e3tzfz587l27RoAqampdOjQgUWLFuHt7U18fDx16tShdu3a+Pr6AmBvb8+ePXsAeOmllxgyZAgdOnQAsBbcHmTjxo0kJSVRvnx5hg0bxpQpUwBYunQpAwcOZP369dZ1736uBQsWAHDo0CHat2/P1KlTCQ4OfujzFBAQQGhoKP7+/mzdupVp06bxySefEB0dzaVLl/D09KRUqVJMnDiR3LlzW4uP48ePZ+TIkcycOZPBgwdz7NgxnnnmGVJSUkhKSqJ27drMmzfP2gLx7/z19brb4cOH+eCDDzhw4ADPPPMM7733nnXZ1atX/9Hrd7ekpCSSkpLSzXN2dsbZ+SFO6FPsyy/XMmvWauLj07oKDhnSwdaRJIfo3q0Z63/aTaNGRiwWC9+v20lAI7W6kH8uKSmFiEOneeH52tZ5Y8YtYvWa7SQmJlOsaAFat6pnw4SSHX0592dmffkj8QnJ5MuXmyFvtyL69BX+uBZL5NFzjB63BJPJTAP/Sgwf0oY8eVxsHVmyCZMplVFjlzL6vbaYzfcf+mfl6p20fL4mzs6OjzGd5ARfzln/v/evpP+9f7W5Z51r125x8tRlvCo8a4OEIk8XFRQfs3bt2mFnZ8fx48eZOnUqhQoVIjY2lv3797Nt2zYAypcvj7+/P1u2bMHd3R0fHx+8vb0B6Nq1K3379gXg+PHjHDlyJF2X39jYWCIjI60FqR49eliXBQQEMH78eE6cOEFgYCD+/v73zVm/fn3s7e3Jnz8/a9asIW/evCxZsoTp06cTGxuL2Wzm+vXr6ba5+7kAjhw5wosvvkhISAjVqj3aL5ABAQHMmzePrl274uHhQZ48eWjYsCFhYWFcunSJgIAAAEJCQrh58yYrV64EIDk5mVKlSgHQuHFjOnfuTMuWLWnevDkVKlTI9PNn9Hr91ebNm2nevDnPPPMMAG+88QaTJqWNE7Nz585/9PrdbdKkSYwdOzbdvA8++IAxY1pm+nieZr17v0jv3i9y8uQF1q7dRqFCeW0dSXKIGjUq8O3yMHz90v5vG43l6NPnRRunkuzOYrHw/ugFlCzhSXCTGtb5Y0a/xuiRHTkSeZbNoeHkdc9tw5SSHfXuGUzvnsGcPHWZtd/voVABd85fTPuxc/vOY6z47zAA3nl3HhMnr2Ti2NdsGVeykblfb6aidzF8a5Zj154TGa5z4eJ1tu86ztC39TkpD6/3683o/XozTp66xNp1uylUIP141ckpJt5+dy7Nm9akauWSNkop8vRQl+fHbNmyZRw9epSff/6Z4cOHc+jQoQzXM2Si2avFYsHDw4Pw8HDrFB0dTdeuXa3r5MmTx/rvQYMG8f3331tb0fXr1++++96yZQvh4eGEhobSqFEjzp49y5tvvsmiRYs4fPgwS5cuJTExMd02dz8XQNGiRSlcuDCbN2++7/O0bdsWo9GI0Wi0tty7W0BAADt27GD9+vU0bNgQgIYNGxIaGkpoaCiBgYHWczF9+nTreYiMjOSHH34AYOXKlXz44YekpKTw/PPPs3Tp0vvm+avMvl53y8xrdyfz371+dxsxYgQ3b95MN/21e7n8vbJli+HtXYLhw2fbOorkAGazmR49PqJGjfIc2P8VB/Z/RY0a5enR8yNbR5NszGKxMGb8IqKjr/D59P7Y2aX/umZnZ0fVKqXInTsXH0351kYpJbsrW6YI3l7FGD5qIbn/142wT89gPPLnwSN/Hvr0DCY07O+/94gAnDn7O0uXb+Pdd1564Hqr1uyiovezeHsVe0zJJCcqW+YZvL2eZfjIr63zklNMDHjnS1xyOTF+jH4IeboZsuGUPamgaCNBQUG88cYbjBw5Ejc3N2rUqMH8+fOBtPEUt27dSoMGDahTpw4RERHW8QoXLVpEcnLaANleXl64u7tbt7uz7V9bDt5x/PhxSpcuTa9evXjvvffYuXNnpvPevHkTR0dHnnnmGSwWS6bG+sufPz8bNmwgJCSEcePGZbjOihUrrMW0AgUK3LO8aNGiFC9enClTpli7G9erV48tW7awY8cOawvFVq1aMXXqVOLj4wGIj4/nyJEjmEwmTp48Sa1atRgyZAht27a1dot2d3fn5s2bmTr+u1+vvwoMDGT9+vVcvpw2Jt/s2X8Wqv7N18/Z2Rl3d/d0k7P6Oz8SkymVM2eu2DqG5AA3bt7mwsU/6NK5KS4uzri4ONP5tWAOHjzJ9ZhYW8eTbMhisTB2/GIiIqKZ99XbuLm53nfdtPcyjaEoj86UksqZs1cpXaqwup/KP7LvwCn+uBZL0xf/Q+2G79Fv0Bzi4hKp3fA9DkacBtJ+hFu1ZhevtK5j27CSI5hMae9fkFZMHPjOl6SkmJg+tbf1zvUikrVUULShUaNGsXXrVvbt28fixYtZtmwZ1apVo23btsyZM4cSJUrg6enJnDlzaNWqFUajkUOHDpEnTx7y5cuHg4MD69atY9WqVfj4+FC5cmV69uxJQkJChs83Y8YMKleuTPXq1Rk5ciT/93//l+msVatWpX379lSuXBlfX19KlCiRqe3c3NxYv34927dvZ+jQoZl+vrsFBAQQHR1t7aKdO3duihQpwrPPPkvRoml37ho2bBi+vr7Url0bHx8f6tSpQ3h4OKmpqfTo0YMqVapgNBrZt28f77zzDgADBgygV69embopC6R/ve5WpUoVxowZQ/369alevXq6It+/+frJo7l9O5GVK8O4des2FouF48fPMmtWCP7+VW0dTXIAj/xulCxZmMWLN5CUlExSUjKLl2ykSBEPPPK72TqeZEPjJixh/4Eo5s15h7x5/+zOfOHiNX76eR+3bydiNpvZfyCKhYs24f9cZRumlezkdnwiK0N2cOtWfNrn4W8XmPXVevzrVSJXLidebOHLV/M3cPNWPLduxfPV/A00DvCxdWzJJpoHV2fDulGs+fZd1nz7LhM+aE/u3M6s+fZdKlZMG8tu247jxMTc5oXmNW2cVrKb2/GJrFy9Pf3715c/4F+vEikpqQwa/BUJCcl8Pu0N683LRCTrGSwWy/1HzJUnQmxsLG5uaX+YhoSEMGLECI4ePWrjVJJZWf/67fv7VZ5i8fGJ9O//CZGRp0lOTsHDw53gYD8GDGiLi4taeD5YTbDstnWIJ15U1AUmTVrM4cPRmC1mKlYsyfBhHalUqZStoz3ZDH5g2mLrFE+UCxevEdhkGE5ODjjY21vnt2xZhz69nmfosDn8duI8ZrMFT898vPS/+X/tEi2AQ31I2mjrFE+U+Pgk+g/6ksij5/73eehGcJCRAf1ewMXFifj4JMZNXMbG0AicHB0IbFSV4UNfJk/uXLaO/uRxDoLE9X+/3lNs154T9H97Lnu3fmidN3DofHI5O/LRBHVHfaBczSA51NYpnijx8Un0Hzjrf+9fprT3rybVGdCvJYcOn6Zzj09wdnbE/q7Pwz69mtG3V3Mbpn5COQXYOkGWs5z72NYRHpqh+Lu2jvBIVFDMBiZOnMiyZctITU3F3d2dGTNmUKNGjb/fUJ4IWf/6qaAoWUUFRclCKihKVlJBUbKSCoqSlVRQlKz0NBQUz0+xdYSHZnh2iK0jPBIVFEWyPRUUJauooChZSAVFyUoqKEpWUkFRspIKipKVVFB8ImXXgqL6yIiIiIiIiIiIiEim6fZHIiIiIiIiIiKS7RkMBltHeGqohaKIiIiIiIiIiIhkmgqKIiIiIiIiIiIikmkqKIqIiIiIiIiIiEimaQxFERERERERERHJATSG4uOiFooiIiIiIiIiIiKSaSooioiIiIiIiIiISKapy7OIiIiIiIiIiGR/BrWbe1wMFovFYusQIiIiIiIiIiIi/8jFT22d4OEVHWTrBI9ELRRFsruEH22dQHIql+Zwc5mtU0hOlbcd5nlBtk4hOZRdj41cq1rG1jEkhypw6BRjDV62jiE51AeW46S0qGTrGJJDOX4faesIkoOoLaiIiIiIiIiIiIhkmlooioiIiIiIiIhIDmCwdYCnhlooioiIiIiIiIiISKapoCgiIiIiIiIiIiKZpi7PIiIiIiIiIiKS/RnU5flxUQtFERERERERERERyTQVFEVERERERERERCTTVFAUERERERERERGRTNMYiiIiIiIiIiIikv0Z1G7ucdGZFhERERERERERkUxTC0URybESE5Np+crHxMTEsXfrhwBEnbzM+I9WEnn0PE5ODgQ2rMJ7Q1vj4uJk47SSHVRvOCHd4+RkE2VKF+K7Jf0BuHL1FmM/Xse+8DNgMFCnVmk+ePcFPPLntkVcyQYmbIhh04kEYpPM5Hayo6mXC0MC8uFkb2Dg6j/YfyGJhBQL+VzseNknN2/Uy2vddvT66+w5l8SZ6yaGBeajq6+bDY9EnjS5J3yM8/MvQkqKdd6t3l0wHTwAjk7kfm8MjnWewy5/fsxXr5Aw70uSQpYDYPAoQO53R+JQyw9D7jyYz50l/vNPSQnbZKvDkSfMiNj96R7bOzvxx9FTzK72IgDNPxuJV6sgcuV1Iyn2NpHL17Ph3cmY/3c9FqxYlubTR/FMjUqkJiVzfO1m1g+aiCkh8bEfizzhnJxxmLkG3PNhalcHCj2Dw6zv/rKOE5a9v5I67s20xy65sX/zAwx+jSApEfO6JZiXzn7s0UVyOrVQtKFVq1ZRs2ZNjEYj3t7eBAYGYjab/9E+x4wZQ2Linx/E3bp149NPP83UtqVKlcLLy4tq1apRrlw5XnrpJbZv3/6P8mTk4sWL1K9f/1/fb7du3ShWrBhGo9E6zZ8//5H2dePGDT788MMHrjNu3DiqVKlCtWrV8Pb2ZujQocDfH1/BggU5ffr0I+WShzPt8x8p+kz+dPMGj/iG0iU92bZ5PN8tH8ax3y7w+Vc/2SihZDcHfhmZbipTuhAtmlSxLh/78ToANq99h00hb5OUbGLC//1gq7iSDXSonofvXy/C3refJaR7YY7/nsLcXbcA6O/vzqa+Rdn79rN809GT7yPjWXvktnVbL09HRjfJT9Vn9IOIZCxx6WKu165qnUwHD6QtcLDH/MdVbvXqzPU6PsSNHIrr0PdwrOsPgMHVFdPRI9zq9DIx9YzEz5yK20fTsC9TzoZHI0+SSW410k1/HD3F4aXfW5fv+XwJM72b82Hemsyu9hKFq3nz3LuvW5e/vOT/uHY8mimFn2NW1ZYUruZNw1H9bHEo8oSze+0tLFcv/jnj90uY2tb6c2pfF+JiMf/yo3UV+77vg1teTN0aY3q3M3ZNX8EQ+KIN0ovkbCoo2silS5fo3bs3q1atIjw8nGPHjjFlyhQMBsM/2u/YsWPTFRQf1rJlyzh48CBRUVF07dqV559/nl27dv2jTHczmUwULVqULVu2/Gv7vNvQoUMJDw+3Tt27d3+k/fxdQXHFihX8+OOP7Nmzh4MHD3L48GFee+01gCw9Psm8w5Hn2Lr9GL26NU43/9yFa7zYohZOjg54eOQhsGEVfjtxyUYpJTuLOHKek9G/0/qF6tZ55y7G0DyoCrldncmT25nnm1Tht6grNkwpT7qyBR1xdUr7OmYB7AxwJsYEQIVCTjg5pH0vMAAGA5y5brJu26mGG3VL5cLZ4Z99d5CnUEICCTM/xXz+LACmiHBSdu/EoUYtAMznz5H49RzMVy6DxULKL5tJPX0KB5/qD9qrPKWK+lalUKWyhC9YbZ33x7FTpMQnAGnvXRazGY/yJa3L85cpTsSitZhTUoj/I4bf1m7Gs2qFx55dnnDlKmFX0x/zijn3XcVQpzHY2WHZviFthnMuDA2fx/zNZ3A7Fi6ewfzdYuyCX35MocX2DNlwyp5UULSRK1euYG9vj4eHh3VejRo1rAXFvXv3Uq9ePXx8fPDz82Pbtm0AnD59mnz58lm3iYuLs27Tt29fAOrXr4/RaOTq1asAHD16lMaNG1OhQgXatGlDcnJypjK2adOGvn37MmXKFABSUlIYPnw4fn5+GI1GXn31VWJiYgCIjY2lV69e+Pn54ePjQ+/eva3P06hRIwYMGEDdunUJDg6+5xgMBgMTJ07Ez8+P0qVLp2tVuH37doxGI1WrVqVHjx5Uq1aNsLCwzJ5mq08++QRfX1+MRiO+vr7s2LEDALPZzJtvvknFihWpVq0aNWvWJDExkb59+xIbG4vRaKRWrVr37O/8+fN4eHiQK1cuABwcHKhWrRpw72u0du1aKlasiI+PD++++266/Zw4cYIWLVrg6+uLj48PM2bMeOhjk3uZTKmMGreM0SPa4uhon25Zjy4BhKzbQ2JiMr//cYsNoYcIaFjZRkklO1uxdj8N6pajcCF367zuHeuxftMRYuMSuRWbwPc/HSKgvpcNU0p28NXOW9T85DzPTb/IsaspvFbjz67LY3++TvX/O0/grEvEJ1toXVXd5yXznF9sTf6t+8m7ej25uvRMq+xkxMkJh6o+pP52PMPFBo8C2Jcph+m3Y1mYVrKrGj3bcuLHX4m7dDXd/OeG9WJE7H6G/r6TItW82T19kXXZ9inzqNalFQ65nMlduCDerZvw23ehjzu6PMns7HF4axypn48HU8r9VwtugzlsHaT872/cYqUxODphOfXn+5Xl1FEMpVWwFvm3qaBoIz4+Pvj7+1OyZElat27N5MmTuXDhAgDJycm0adOGDz74gIiICD755BNefvll4uLiHrjP2bPTxoXYsmUL4eHheHp6AhAeHs53333H0aNHuXLlCitXrsx0ztq1a3PkyBEAJk+eTO7cudm9ezfh4eFUrVqVkSNHAjB48GDq16/P7t27OXjwIGazmWnTpln389tvv/Hrr7+yefPmDJ/H2dmZ3bt38+OPPzJgwABMJhPJycm0a9eOqVOncujQITp37kxERMQD806ePDldl+c7LQU7d+7Mnj17CA8PZ/r06daWiwcPHmTTpk0cOXKEgwcPsnnzZpycnJg9ezZubm6Eh4ezd+/ee56nffv2REdHU6ZMGbp06cK8efNISEi4Z72rV6/SvXt3Vq5cSUREBOXKlePatWsApKam0qFDB/7v//6PPXv2sHPnTr788kv27NmT4bElJSVx69atdFNSUtIDz8fTau7Xm6noXQzfmmXvWdbguUrsP3CKGs8Nxz9oNM8UzsfLL9WxQUrJzuITkvn+50O0falmuvk1fEpwLSYO38aT8Av6kJuxCfTp+u8P8SA5S6867ux751nW9SxCO2MeCub+8+vZB8Ee7HunGMu7FOalKrlxz6WvbpI5iYu/5kbLIGIa1OL2B8PJ9Vp3cr2Wcc+NPGM/xHzmNMkb19+70MERt4+nkfTT96RGHsri1JLdOLq6ULl9Cw7MWXHPsm0ffcUktxrMrNicvbOXEnf5d+uyqB9/pYR/DUbE7mfI5W3cPHeJA/My/zeK5Hx2L/fAcuooliP77r9SoaIYjHUx//Tn9WdwccWSEA/m1D/Xux0LLvpBTuTfpm+lNmJnZ8fKlSvZvn07zZo1Y9u2bVSuXJmoqCiOHz+OnZ0dTZs2BcDf35/ChQsTHh7+SM/VunVrXF1dsbe3x8/Pj5MnT2Z6W4vFYv13SEgIixYtshbr/vvf/xIdHW1ddqeYV716dbZs2UJUVJR129deew1HR8f7Pk+nTp0A8Pb2xsHBgcuXL3Ps2DEcHBwICAgAICAggLJl7y0Q3e2vXZ7vjGV44MABGjZsSJUqVejbty/Hjx8nISGBMmXKYDKZ6NGjB19//TUpKSnY2f39f4siRYpw6NAhFi9eTNWqVfn888+pV6/ePa0/d+7ciY+PD5UqVQKgZ8+eODmljXV1/Phxjhw5Qvv27TEajdSrV4/Y2FgiIyMzfM5JkyaRN2/edNOkSZP+NuvT5szZ31m6Yjvvvn3vOCk3b8XTve/nvNKmLuE7P2b3rxNxcXFi6PsLbZBUsrP1m47gksuRRs/9+Wu32Wymx1tfU8OnBAd+eZ8Dv7xPDZ8S9BjwjQ2TSnZStqAj3p6OjPjherr5dgYDVZ5xIreTgY9Db9gmnGQ7qUePYIm5DmYzpohwEubOxqlpi3vWyz1yPPalyhA7sC/c9b0PSCsmfjITS2Iit8e895iSS3ZS6ZVmpMQn8Nv3Yfdd549jp7hy8BitFqQNJ5QrnzudN85n/1fL+Y+rkY/y+5JyO4HWiyY/ptTyxHumBHbPtyN17pQHrmbXpDWWU0ch+s/W1ZaEeHDOBXZ39VLK7QYJtzPYg+RIBkP2m7Ip3eXZxry9vfH29qZPnz40a9aMtWvX0qRJk3vWu9Ot2cHBgdTUP39tycx4iXe65QLY29tjMpkesHZ6e/bsoUqVtBsOWCwWpk+fTnBw8D3rWSwWVq5cSYUKGTclz5Mnz7+S8c55iIyMpGPHjgA899xzzJw58777vtPiMzQ0FF9fX27dukXevHlJSkoiX758HD58mF9++YXQ0FBGjBjBr7/+ioPD3//XsLe3p169etSrV48BAwZQuHBhDh8+nK4b+/3yQ9o58/DwyHSheMSIEbzzzjvp5jk7O4M541afT6t9B07xx7VYmr40EUjr/nz7dhK1G73Pl9N7kZSYQpeODTAYDDg5OtC+bT169f/Cxqklu1m+Zh+tWhhxcPjzy+qNWwlcuHSDLu3q4JIr7YeDzu3qMHfRNq7fuI1HPv0yLn/PZLZYx1C8dxn3XSbytzK48V/u98fhULUat3q9hiUuNv1CB0fcPpkBjo7EDujzwC6H8vSq8forHPw6BMtdf59kxM7RwTqGYv6yJXB0cWbXZ2k/uCXeSGHfF0vp9ONXWZ5XsgdD5RqQrwAOX/7vxnYODuCSG4cl20gd+waW4xFgMGDXpDXmb/9y3VyIhlQTlPGCqLSGGoYy3lhOn3jMRyGS86mFoo1cuHDBOi4iQExMDNHR0ZQtWxYvLy/MZjMbNqQNLLt9+3YuX76M0WikSJEiWCwWayu2b75J3/LFzc2Nmzdv/isZ16xZw6xZsxg8eDAArVq1YurUqcTHxwMQHx9v7Q7dqlUrPvroI2shMCYmJl0LxUfh5eVFSkoKv/zyCwC//PKLdZ+VKlWytkJ8UDER0oquycnJlChRAoDp06dbl/3+++/cvn2b4OBgJk6cSKlSpYiMjMTd3Z2EhIT7jje5d+/edC09jx07RkpKCsWLF0+3Xt26dYmIiODYsbQxPObNm2fdp5eXF+7u7unGjIyKiuL69fQtU+5wdnbG3d093eTs7PzAY38aNQ+uzobvRrJm2VDWLBvKhNHtyZ3bmTXLhlK2dBFcXZ1ZsmwrJlMqcbcT+XbVDip6P2vr2JKNnDrzBwciztH2xfTdnT3y5aZkcQ8Wr9hNUlIKSUkpLF6+iyKe7iomSoZuJ5tZFRHHrUQzFouF335PZvb2W/iXzsWFmyZ+Ph7P7WQzZouFA+eTWLQvFv/Sf/4Al5xqIclkwWyBVHPav01mywOeUZ4mTk2fx5A77Qdd+0pVcenZN12X5tzvj8Whek1u9e6C5dat9Bs7OOD2f9PBxZXYgX3+HJtM5C4FKpSmeL3qHJibvruzY25XjN3a4Jw3bTxYzyoVaDDyDU7+tBVIa7GYHBePb7+OGOztccqTmxq9XuXSgaOP/RjkyWTZsh7T680wvdUG01ttSP1sNCTcxvRWGywn064TQ/V64J4P8y/fp984KRHLrz9i/9oAcM0DRUti17JTum7RIvLvUAtFGzGZTIwbN47o6GhcXV0xmUx07dqVl156CYBVq1YxYMAABg8eTK5cuVixYoW1ld/06dN54YUXKFCgAG3btk2338GDB9OkSRNcXV35+eefHzpXu3btyJUrF7dv36ZSpUr88MMP1K5dG4Bhw4aRlJRE7dq1rS3thg0bRuXKlZk6dSrDhw/HaDRiZ2eHg4MDH3/8MeXKlXvkc+Ts7MzSpUvp378/ZrOZmjVr4uXlle6GJ381efJkFixYYH3cqVMnhg4dyoQJE/Dz86NgwYK0b9/euvzcuXP06tWLlJQUUlNTee6552jevDmOjo506dIFHx8f8uTJc884iteuXePNN9/kxo0buLi4YG9vz5IlSyhUqBC3b//ZnL5QoULMmzeP1q1b4+TkRLNmzShQoACQ1tp03bp1DBo0iKlTp5KamkrBggVZsmTJI58zARcXJ1xcnKyPPfLnxgAUKZwPgFnTXmfKtO+YOuN77O3tqG4szUfjO9omrGRLK9bso5axBKVKFLhn2eeTOzJp6o80aDEFs8VCxQrPMOv/OtkgpWQHBmBdZDwfh94kJdWCh6sdwV6uvOnvzvV4M9/sjWXkj9cxW8Azjz2darjRq86fN2x5fdnv7DmXNpbuvvNJTA67Sf/n3HnTP6+NjkieJLk6dCH36IkYHOwxX7lC4rJFJH6ddqdUu2eKkqt9ZyxJSeT/eYt1m6R1a7g9fiQOxho4BQZjSUzEY8uf45clfDWLhDmfP/ZjkSdT9Z5tObNlL9ejzqRfYLFQpeMLNJnyLg7OTty+ep2jK38m9IPPAEi5Hc9/W75B0EdDCPzP25hTUzm37QAhXYfZ4CjkiZSUmDbdcfN62pAM165YZ9kFv4xl688Qf+99BlJnTcD+rTE4fB0KyYmY1y3Bsnnt40gu8lQxWCx/HSxF5MkRGxuLm1vaH0979uzhxRdf5OTJk7i6uto42RMk4UdbJ5CcyqU53Fxm6xSSU+Vth3lekK1TSA5l12Mj16qWsXUMyaEKHDrFWIOXrWNIDvWB5TgpLSrZOobkUI7fZzxef45ydbatEzw8z762TvBI1EJRnmgrV65k6tSpWCwWHBwcWLhwoYqJIiIiIiIiIiI2pIKiPNG6detGt27dbB1DRERERERERET+RwVFERERERERERHJAQy2DvDU0F2eRUREREREREREJNNUUBQREREREREREZFMU0FRREREREREREREMk1jKIqIiIiIiIiISPZn0BiKj4taKIqIiIiIiIiIiEimqaAoIiIiIiIiIiIimaYuzyIiIiIiIiIikgOo3dzjojMtIiIiIiIiIiIimWawWCwWW4cQERERERERERH5R36fY+sED6/Q67ZO8EjU5Vkk29tn6wCSY9VE15dkHV1fkpV0fUlW0vUlWUnXl2SlmrYOIDmICooiIiIiIiIiIpL9GQy2TvDU0BiKIiIiIiIiIiIikmkqKIqIiIiIiIiIiDzhfv31V1q2bEnRokUxGAyEhISkW26xWBg9ejTPPPMMLi4uBAUFceLEiXTrXL9+nU6dOuHu7k6+fPno2bMncXFxD51FBUUREREREREREcn+DIbsNz2E27dvU61aNWbOnJnh8o8//pjPPvuM2bNns2vXLnLnzk3Tpk1JTEy0rtOpUyeOHDnChg0bWLduHb/++iu9e/d+6FOtMRRFRERERERERERsICkpiaSkpHTznJ2dcXZ2vmfd5s2b07x58wz3Y7FY+PTTTxk5ciQvvfQSAN988w2FCxcmJCSE9u3bc/ToUdavX8+ePXuoVasWANOnT+f5559nypQpFC1aNNO51UJRRERERERERETEBiZNmkTevHnTTZMmTXro/URHR3P58mWCgoKs8/LmzUvt2rXZsWMHADt27CBfvnzWYiJAUFAQdnZ27Nq166GeTy0URUREREREREREbGDEiBG888476eZl1Drx71y+fBmAwoULp5tfuHBh67LLly/j6emZbrmDgwMeHh7WdTJLBUUREREREREREckBsl9H3Pt1b37SZb8zLSIiIiIiIiIiIlZFihQB4MqVK+nmX7lyxbqsSJEiXL16Nd1yk8nE9evXretkllooikiOt2jRT6xa9Su//XaOBg2q8fnng20dSXIQXV+SVZKTUxg3bgHbtx8mJiaWwoXz8/rrLWnbtpGto0kOoOtLspKuL8lKur5EMla6dGmKFCnCpk2bMBqNANy6dYtdu3bxxhtvAFC3bl1u3LjBvn37qFmzJgCbN2/GbDZTu3bth3o+tVDMwKpVq6hZsyZGoxFvb28CAwMxm83/aJ9jxoxJd5vubt268emnn/7jPKVKlSI8PPwfZXtYhw4dIjAwkGrVqlGlShV8fX05fPhwhuvGxcUxaNAgypUrR7Vq1ahevTpDhgwhJSWFBQsW0KpVqwy327t3L+3atcvCo3g4oaGhGAwGFi5cmKn1H+b1lazn6Zmffv1a8eqrAbaOIjmQri/JKiZTKoUK5WPBgvfYv38uH37Yl48+WsTWrRG2jiY5gK4vyUq6viQr6fqSBzIYst/0EOLi4ggPD7fWgaKjowkPD+fs2bMYDAYGDRrEhAkTWLt2LYcOHaJLly4ULVrUWnupWLEizZo1o1evXuzevZtt27bx5ptv0r59+4e6wzOoheI9Ll26RO/evdm3bx8lS5YEYP/+/Rge8kX+q7FjxzJo0CBy5cr1ROS5m8lkwsEh85dChw4dGD9+PK1btwbg3LlzGfb3t1gsvPDCC5QvX55Dhw7h4uJCSkoKc+fOveeW6H9Vq1Ytli1b9nAHkoXmzp1L48aNmTt3Lp07d7Z1HHlIwcF+ABw9eobLl6/bOI3kNLq+JKu4uuZi4MBXrI+NxvLUrl2ZffuO4+/vY8NkkhPo+pKspOtLspKuL3ma7d27l4CAPxsy3LmZS9euXVmwYAHvvvsut2/fpnfv3ty4cQN/f3/Wr1+frha1ePFi3nzzTRo3boydnR0vv/wyn3322UNnUQvFv7hy5Qr29vZ4eHhY59WoUcNawNu7dy/16tXDx8cHPz8/tm3bBsDp06fJly+fdZu4uDjrNn379gWgfv36GI1Ga3/1o0eP0rhxYypUqECbNm1ITk5+6DyQ1oKxbt26lC5dmgkTJljnR0VFERQUhI+PD0ajkZCQEOsyg8HABx98gK+vLyNGjCA2NpZevXrh5+eHj48PvXv3zjAPwPnz5ylWrJj1cfHixe+5SxCkNZuNiopi5syZuLi4AODo6Ejfvn3JkyeP9Tx16NCBqlWrUqtWLU6dOgVAWFiYtYkuwPfff4+vry/VqlXDaDRab2feqVMnatWqhY+PDy1atEh3V6IvvviCChUqUKNGDcaPH5/unP3000/UqFEDHx8fGjZsSGRkZIbHCnDjxg2+//57Fi1aRGRkJFFRUQA0adKEFStWWNcLCwujevXq92wfFxdHjx49qFKlClWqVGHs2LHWZY0aNWLIkCHUr1+fsmXLWq8VERGRv0pKSiYi4iReXiVsHUVyIF1fkpV0fUlW0vUlT5NGjRphsVjumRYsWACk1XrGjRvH5cuXSUxMZOPGjVSoUCHdPjw8PFiyZAmxsbHcvHmTefPmWWs0D0MFxb/w8fHB39+fkiVL0rp1ayZPnsyFCxcASE5Opk2bNnzwwQdERETwySef8PLLLxMXF/fAfc6ePRuALVu2EB4ebi2+hYeH891333H06FGuXLnCypUrHyrPHTdu3GDHjh3s2bMn3fJOnTrxyiuvEBERwfLly+nZsydnzpyxbmdvb2/dZvDgwdSvX5/du3dz8OBBzGYz06ZNy/B4Ro0aRUBAAI0bN+b999/nwIEDGa53p0++k5PTfc/Nnj17mDhxIocOHSIoKIiPPvronnV+++03unfvzsKFCzl48CB79uzB29sbgE8//ZS9e/cSERFB/fr1GTNmDACHDx9mzJgx/Prrr+zfvx+TyWTd39WrV+nYsSNff/01ERER9O7dm7Zt22KxWDLMuGTJEpo2bUqRIkV47bXXmDdvHgDdu3e3/qcFmD9/Pj169Lhn+/Hjx5OUlERERAS7du0iJCQkXevLkydPEhoayuHDh/npp5/YsWNHhjmSkpK4detWuunvWnqKiEjOYLFYeP/9ryhZsgjBwb62jiM5jK4vyUq6viQr6foSsR0VFP/Czs6OlStXsn37dpo1a8a2bduoXLkyUVFRHD9+HDs7O5o2bQqAv78/hQsXfuQxDFu3bo2rqyv29vb4+flx8uTJh8pzR8eOHQEoWLAgZcqUITo6mtjYWPbv30/Pnj0BKF++PP7+/mzZssW63d3Fr5CQECZPnozRaKR69eps2bIl3XPcbfDgwZw6dYrXX3+d69evU79+/UfunnynZeWdf2d0DjZs2ECzZs2sRURHR0fy5s0LpBX7atWqRZUqVZgzZ471tdi8eTPNmjWz3qWoV69e1v3t2rWLqlWrUrVqVSCt8Hrx4sV7CrV3zJ0713quevTowddff01qaiqtW7dm586dXLp0ibi4ONatW2d9Le62ceNGevXqhZ2dHblz56ZLly5s2LDBurxdu3Y4ODjg4uKC0WjM8BwATJo0ibx586abJk2adP+TKyIiOYLFYmHMmHlER1/i88/fwc5OX9/k36PrS7KSri/JSrq+JGOGbDhlTxpD8T68vb3x9vamT58+NGvWjLVr19KkSZN71rvTjdbBwYHU1FTr/LtvwHI/d/dht7e3T9eKLjN57vSVz+x+/jru4t1NWi0WCytXrrynKWxkZKS1SPbcc88xc+ZMAAoXLkyHDh3o0KEDJUuWZPHixffcRKVmzZpMnz6d5OTk+7ZSfJhz8Fdbt27ls88+Y8eOHXh6erJ27VpGjx6d4bqZHXPym2++4ZNPPgFg4MCBVK9enYiICHr16mXdxx9//MGPP/7ICy+8wCuvvMLChQspVKgQgYGBFChQ4G+f469ZMnsORowYYX3N70gbuzLjG+KIiEj2Z7FYGDt2PhERJ1mw4D3c3FxtHUlyEF1fkpV0fUlW0vUlYnsq4f/FhQsXrOMiAsTExBAdHU3ZsmXx8vLCbDZbW5dt376dy5cvYzQaKVKkCBaLxToW3zfffJNuv25ubty8efNfzfMgbm5u1KhRg/nz5wNp4ylu3bqVBg0aZLh+q1at+Oijj6zFrJiYGKKioqhUqZL1DkJ3iomrV68mJSUFSLuhS0RERIZ5AgMDKV26NAMGDLAWWE0mE19++eXfdhO/W9OmTfnpp584duwYACkpKdy8eZOYmBjc3NwoUKAAycnJfPHFF9ZtAgIC+Omnn6zjVc6dO9e6rE6dOhw6dMh6Z+qlS5dSrFgxihUrRpcuXazH2717d+bOncvgwYM5c+YMp0+f5vTp03z66afW/XXv3p358+ezYMGCDLs7AwQFBTF37lwsFgu3b99m4cKFBAcHZ/r473B2dsbd3T3dlNHNcOReJlMqSUnJmExmzGYLSUnJJCdnvngt8iC6viQrjRu3gP37f2PevBHkzfvwY9uIPIiuL8lKur4kK+n6ErE9tVD8C5PJxLhx44iOjsbV1RWTyUTXrl156aWXgLQboAwYMIDBgweTK1cuVqxYYW3pN336dF544QUKFChA27Zt0+138ODBNGnSBFdXV37++ed/Lc+DLF68mL59+zJjxgwMBgNz5syhRImMB6qdOnUqw4cPx2g0Ymdnh4ODAx9//DHlypW7Z91Vq1YxfPhwnJ2dSU1Nxc/PL92NRu4wGAx8//33vP/++1SuXBkXFxfMZjMtWrR4qLtdlytXjvnz5/Paa6+RkpKCvb09s2fPplmzZixatAgvLy8KFChAUFCQtdty1apVGTlyJM899xxubm40a9bM2k26UKFCLF68mC5dumAymcifPz/Lly+/p+VgYmIiixcv5pdffkk3/9VXX2XIkCFcuXIFPz8/7O3tiYqKum+RcNSoUQwYMMDaxfqVV17h1VdfzfTxyz83a9ZqZsxYZX3s49MNP7+KLFw4yoapJKfQ9SVZ5cKF31myZANOTo4EBg6wzm/Z0p9x43raMJnkBLq+JCvp+pKspOtLHsigdnOPi8FyvztRiGRzsbGxuLm5ATBt2jTWr1/Pjz/+aONUWWGfrQNIjlUTXV+SdXR9SVbS9SVZSdeXZCVdX5KVato6QNaLWWTrBA8v/2u2TvBI1EJRcqzhw4ezbds2UlJSKFq0aLou0SIiIiIiIiIi8mhUUJQc686YjyIiIiIiIiIi8u9RQVFERERERERERLK/v9wbQbKORqsUERERERERERGRTFNBUURERERERERERDJNXZ5FRERERERERCQHUJfnx0UtFEVERERERERERCTTVFAUERERERERERGRTFNBUURERERERERERDJNYyiKiIiIiIiIiEj2Z1C7ucdFZ1pEREREREREREQyzWCxWCy2DiEiIiIiIiIiIvKP3Fxq6wQPL297Wyd4JOryLJLt7bN1AMmxaoJlr61DSE5lqAWp22ydQnIq++cgaaOtU0hO5RwE8etsnUJyKtcXIDnU1ikkp3IKsHWCx8Bg6wBPDXV5FhERERERERERkUxTQVFEREREREREREQyTQVFERERERERERERyTSNoSgiIiIiIiIiItmfQWMoPi5qoSgiIiIiIiIiIiKZpoKiiIiIiIiIiIiIZJoKiiIiIiIiIiIiIpJpGkNRRERERERERERyALWbe1x0pkVERERERERERCTTVFAUERERERERERGRTFNBUR7KqlWrqFmzJkajEW9vbwIDAzGbzf9on2PGjCExMdH6uFu3bnz66ad/u93YsWN5/fXXrY+3bt2KwWAgLCzMOq9v376MGjXqX8n1V7Nnz8bHx8d6Ljp16mRdZjQaiY2NzXC7WrVqpcsoWSs5OYWRI78iMHAg1av3oFmzwaxYEWbrWJJDDB8+mypVu1C9Rg/rdODACVvHkmxs0eJNtHllLFWq9abfm9PTLTt85DQdXptIDd9+NA5+l5A122yUUrKr8ZO+pWGT96lRdzD1g97jPx+tIDnFZF2+fOU2mrYci9HvbQKbjWJj6EEbppXsZPjo/1LF912q1xthnQ4cPH3PeomJKTR5cSK16r//+ENKtjZ+4lIaBo2gRp1B1G88jP989K31/SsuLoHB786lRp1B1Gs4lJmzv7dxWrEpgyH7TdmUxlCUTLt06RK9e/dm3759lCxZEoD9+/dj+If/AcaOHcugQYPIlSvXQ20XEBBAjx49rI9DQ0OpXbs2YWFhNGrUyDpv9uzZ/3quvXv38vHHH7N37148PDywWCwcOHDAujw8PPyRnlP+fSZTKoUK5WPBgvcoXtyTgwej6NXrI4oU8cDf38fW8SQH6NChCe+/19nWMSSH8PTMR78+Ldm+M5LLl2Os82/diqd33095q/9LvPp1Qw4fjqZHr0949tlC1KpZwYaJJTvp2K4Bgwe+hKurM9dj4hg4ZA5z5m+gX+/mLFuxlQULNzP14x5U9H6Wa9djSUhItnVkyUY6vFqP94e2euA602atp+gz+YmJuf14QkmO0bF9QwYPav3n+9fgL5kz72f69Xme8ZOWcePWbcJ+nsi167F07/UpxYoWoNWLdWwdWyRHUwtFybQrV65gb2+Ph4eHdV6NGjWsBcW9e/dSr149fHx88PPzY9u2tJYTp0+fJl++fNZt4uLirNv07dsXgPr162M0Grl69SoAR48epXHjxlSoUIE2bdqQnHzvF9o6depw8eJFzp8/D0BYWBijR4+2tv67dOkSZ8+epW7dusTGxtKrVy/8/Pzw8fGhd+/e1n1OmDCBihUrYjQaMRqNnDlz5r657jh//jxubm64ubkBYDAYqFGjhnW5wWDgxo0bAGzfvh2j0UiVKlXo3r07JtOfLQEuX77Mq6++ip+fH1WrVmXkyJGZfTkkk1xdczFw4CuUKFEYg8GA0Vie2rUrs2/fcVtHExG5R3CTmgQF1SB/vjzp5h84EIWTowMd2gdgb29HtWplCQ6qwYqVW2yUVLKjsmWK4OrqnPbAYsHOYODMmd9JTTXz2cx1vD/sFSpVLI7BYKBgAXeKP1vQtoElRzkceY6t24/Rq1ugraNINlS2zDPp37/sDJw5e5WEhGS+/3Evg956CXd3V0qXKsxrHQNYsUqt+EWymgqKkmk+Pj74+/tTsmRJWrduzeTJk7lw4QIAycnJtGnThg8++ICIiAg++eQTXn75ZeLi4h64zzutB7ds2UJ4eDienp5AWgu/7777jqNHj3LlyhVWrlx5z7ZOTk7Uq1eP0NBQkpKSiI6O5vnnn+f8+fMkJiYSGhpK3bp1yZUrF4MHD6Z+/frs3r2bgwcPYjabmTZtGjExMUyZMoX9+/cTHh7O9u3bKVy48H1z3REcHIybmxslSpSgXbt2zJgxg5iYmHsyJicn065dO6ZMmcLhw4fp0KEDBw/+2X2oa9eu9O/fn927d3PgwAH27t3L8uXLMzxXSUlJ3Lp1K92UlJT0wPMr90pKSiYi4iReXiVsHUVyiDVrtuBXuzctXniXefO+/8fDQIhkxGwxY8Hyl3kWjh8/Z6NEkl19Ofdnqtd+m7qNhnPstwu81rEh0aev8Me1WCKPniOw2SgaBL3PyDGLiYtLsHVcyUbWrNuLX8ORtHj5Y+Z9E5bu89BkSmXU+OWMHt4GR0d7G6aU7OzLOeup7jeQug2Hcuz4eV7rGED06cukpJio6PWsdb2KXs9y/LcLNkwq8nRQl2fJNDs7O1auXMmxY8f45Zdf+PHHH/nPf/7D3r17SUhIwM7OjqZNmwLg7+9P4cKFCQ8P59lnn/2bPd+rdevWuLq6AuDn58fJkyczXC8gIICwsDBKliyJn58fkNZycceOHYSFhREQEABASEgIO3bs4JNPPgEgISEBe3t73N3dKV++PK+99hrBwcG0aNEiU3ldXV2txcYtW7awatUqPvroIw4ePJiuBeexY8dwcHAgKCgISCtElilTBoDbt2+zadMmrly5Yl0/Li6O48czbjk3adIkxo4dm27eBx98wJgxLf82r6SxWCy8//5XlCxZhOBgX1vHkRygc+emvPtuR/LmzcOhQycZ9PZ07Ozs6Natua2jSQ5jNJYjIT6ZRYs30e7VhkQcimbDxv0U8HC3dTTJZnr3DKZ3z2BOnrrM2u/3UKiAO+cvXgNg+85jrPjvMADeeXceEyevZOLY12wZV7KJzh3q8+6gluTN68qhI+cYNOwb7OwMdHutIQBzvw6jolcxfGuWZdfeKBunleyq9+vN6P16M06eusTadbvT3r8u/IGrizMODn8Wqt3cXbkdf/+x8CWHM6jd3OOiMy0Pzdvbmz59+hASEkKdOnVYu3Zthuvd6dbs4OBAamqqdf6DbnRyx93jFtrb26frJny3gIAAQkNDCQ0NtY6b2LBhQ+u8wMC0LhUWi4WVK1cSHh5OeHg4x48f54svvsDe3p6dO3cyaNAgrl69Sp06ddiyJXPdxwwGA9WrV2fAgAFs2rSJPHnyZOpmK3fOi8WS1tJk586d1lxRUVH37fY8YsQIbt68mW4aMWJEprJK2vkeM2Ye0dGX+Pzzd7Cz09uf/HOVK5fGw8Mde3s7jMby9OrVkh9+3GHrWJID5c+Xh1mfD2Dd9zvxb/A2//fJCtq09idfvty2jibZVNkyRfD2KsbwUQvJ/b9uhH16BuORPw8e+fPQp2cwoWGHbJxSsovKFZ/FwyNP2uehT0l6dQ/kh5/DAThz9g+WrtjBu2/rR3D5d5Qt8wzeXs8yfOTXuLo6k5CYjMn059+bcbEJ5HZ9uPH5ReTh6S9qybQLFy5Yx0UEiImJITo6mrJly+Ll5YXZbGbDhg1A2riBly9fxmg0UqRIESwWC5GRkQB888036fbr5ubGzZs3HymTr68vV69eZfHixekKikuXLuXSpUvWVoutWrXio48+shYmY2JiiIqKIjY2litXrlC/fn1GjRqFv7+/9eYqD8p17NgxIiIirI/PnTvH77//bm19eIe3tzcmk4nQ0FAANm7caG1tmSdPHgICAvjwww+t6989JuRfOTs74+7unm5ydnZ+2FP2VLJYLIwdO5+IiJPMmzccNzdXW0eSHMrOLvvepU2efDVrlGfpkvfZtWM6SxaN4I8/buLr62XrWJKNmVJSOXP2KqVLFcbZ2dHWcSQHsbvrpo37wk/xx/VYmraaRO2AUfR7ez5xt5OoHTCKg4fO2DClZGcm0533ryI4ONhz7Piff0MdPX6OCuWL2jCdyNNBBUXJNJPJxLhx46hQoQJGo5H69evTtWtXXnrpJZycnFi1ahUffPABPj4+DBo0iBUrVpAnTx4cHByYPn06L7zwAr6+vqSkpKTb7+DBg2nSpEmGNz/5O46Ojvj7+xMbG4u3tzcAFSpUIDY2Fn9/fxwd074cT506FRcXF4xGIz4+PjRu3JjTp09z8+ZN2rRpQ9WqVfHx8SElJYWuXbv+ba74+HjeeustvLy8MBqNtGzZkg8//BCj0ZhuPScnJ5YtW8bbb79N1apVWbJkCdWqVbMuX7x4MVFRUVSpUoWqVavSpk0brl279lDnQP7euHEL2L//N+bNG0HevHn+fgORTPrhx53ExcVjsVg4dOgUX335HcHBfraOJdmYyZRKUlIKplQzZouFpKQUkpPTfgyLjDxDcnIKiYnJfLv8F3bvOU7XLk1snFiyi9vxiawM2cGtW2nvWcd/u8Csr9bjX68SuXI58WILX76av4Gbt+K5dSuer+ZvoHGAj61jSzbxw8/hxMUlpn0eHjnHV/M3E9w47fpp3sTIhrUjWLN0MGuWDmbC6FfJnduZNUsHU9G7mI2TS3ZwOz6Rlau3p3//+vIH/OtVwsXFieeb1WTajLXExiZw+swVFi0J45WX/W0dW2zGkA2n7MlgudPvUkSyqX22DvBEu3DhdwIDB+Lk5IiDw5+/obRs6c+4cT1tmCw7qAmWvbYO8UTr9No4jh8/R2pqKp6eHrRt25CePVqoS31mGGpBqu7A+FfTZ4Qw4/P0Q4n4+Xqx8OthjHhvLhs27SfVZKZ69XKMGNae8uX1x3iG7J+DpI22TvFEiY9Pov+gL4k8eo7k5BQ8PNwIDjIyoN8LuLg4ER+fxLiJy9gYGoGTowOBjaoyfOjL5MmtboP3cA6C+HW2TvFE6dRjJsdPXCQ11YynZ17atvKjZ5dGGX4e7tobRf+357N3y39skDQbcH0BkkNtneKJEh+fRP+Bs/73/mVKe/9qUp0B/Vri4uJEXFwCo8ctJvSXQ+TK5USn9o14840Wto79ZHIKsHWCrBcXYusEDy9PK1sneCQqKIpkeyooSlZRQVGykAqKkpVUUJSspIKiZCUVFCUrqaD4ZMqmBUU1oRAREREREREREZFMc7B1ABERERERERERkX/MkH3HJMxu1EJRREREREREREREMk0FRREREREREREREck0dXkWEREREREREZEcQO3mHhedaREREREREREREck0FRRFREREREREREQk01RQFBERERERERERkUzTGIoiIiIiIiIiIpL9GQy2TvDUUAtFERERERERERERyTSDxWKx2DqEiIiIiIiIiIjIPxK/ztYJHp7rC7ZO8EjU5Vkku7PstnUCyakMfpC63dYpJKeyrwdxq22dQnKqPK3h6he2TiE5lWcfLGf+Y+sUkkMZSr4PMYtsHUNyqvyv2TrBY6COuI+LzrSIiIiIiIiIiIhkmgqKIiIiIiIiIiIikmkqKIqIiIiIiIiIiEimaQxFERERERERERHJ/gwGWyd4aqiFooiIiIiIiIiIiGSaCooiIiIiIiIiIiKSaeryLCIiIiIiIiIi2Z+6PD82aqEoIiIiIiIiIiIimaaCooiIiIiIiIiIiGSaCooiIiIiIiIiIiKSaU90QXHs2LG8/vrr1sdbt27FYDAQFhZmnde3b19GjRr10Ps+ffo0+fLlu+9yo9FIbGzsQ+/3biEhIezcufMf7SMjjRo1IiQkJN28bt268emnnwIQFhbG+vXrH3q/YWFhuLi4YDQa8fHxoXbt2lmSHzI+hn9qyJAhjBkzJsNlCxYsIG/evBiNRipXrkzz5s05e/bs3+6zVKlShIeHA1mTWR6PK1eu06//VGrXfoPadd5g4KDpXL9+y9axJJtatHgjbV4ZS5Vqvej35mfW+RcvXqN6zb7ppkpVe9K3/zQbppXsaNMvkbzUYRrG50bh3/Q//HfFn5/Fy1fvpmmbKRifG0XgCx+yMeyIDZPKk27RygO0eX0xVQKn0W/EmnTLPp2zjZZdv6ZSo6n857PQdMuSk010futb6racRY2mM2jWaT7L1kY8zuiSDSxac4yX+39P1RaL6P9B+muo85CfqNpiETVeXGKdrlyLT7fO8h9P0KxHCNVbLiGw80o2bf/77+by9Dp7/jqvD1qCb5PJ1G/5KV8t3G5dFnc7icGjV1Ej8CPqNf+EmfN+tWFSsT27bDhlT0/0TVkCAgLo0aOH9XFoaCi1a9cmLCyMRo0aWefNnj37X3/uO0WkfyIkJASj0UidOnX+eaCHEBYWxo0bN2jWrNlDb+vl5WU99hkzZtCjRw8iIyP/5YS2ERAQYC0IDhw4kLfffpuVK1faNpQ8FmPHfQ3A5s1TsVgsDBk6iwkTFvLJJ/1tnEyyI0/PfPTr05LtO49w+XKMdX7RogU4sO/Pz6PkZBP1G71Ni+Z+togp2dSv248z9sMQJo9vR63qpYm7ncgf1+IAWLZqFwsWb2XqxA5U9CrKtetxJCQk2zixPMk8C+ahX5fabN93hstX49ItK1ksH0PeaMDy7w7ds529vR0jBwVQtmQBHBzsiIq+RpeByylb0oNa1Z59XPHlCedZwIU3OlZl+4FLXPk9/p7lQ3rWoGubShluu+z73/h61VE+ea8+Fct6cO1GIgmJpqyOLNlUaqqZN4YuI6iBF7OmtOPchRh6DFhMEU83Wjatyvj/W8+NW4mErRnItZjbdH9rEcWK5KXV89VsHV0kR3uiS6F16tTh4sWLnD9/HkgrlI0ePdraQvHSpUucPXuWunXr8sknn+Dr64vRaMTX15cdO3YAYP7/9u48PKbr/wP4ezLZQ/aNaCKEIBJZJJEQhAihRVCkamnV2v5QS9EqSiuU0qCWWqKWVrVIW0UrJNZYSoJYQtLYYylJJCSTZOb8/sg3V0e2oZiE9+t55nncc8499zM3H3PvnDn3XpUKH3zwARo3boxmzZrBx8cH+fn50jamTZsGHx8fuLi4YPv27VK5TCZDVlYWgOJZalOnTkVAQACcnZ3x+eefS+3Onz+PgIAAuLm5oUePHggNDcWaNWuwfft2/Prrr5g7dy48PT2xcuVKAMDcuXPh5uYGd3d39OvXD9nZ2QCA6dOno0+fPnjjjTfQpEkTtGvXDvfu3XvifZaUlIRly5Zhw4YN8PT0xIwZM3Dnzh2EhobC3d0dHh4eeOeddzTqq3379rh8+bK0vG7dOnh4eMDDwwNdunTB9evXAQCHDx+Gj48PPD090bRpUyxduhQAkJOTgyFDhsDPzw8eHh4YOnQoCgpKf/H5/vvv4e/vDy8vLzRr1gy//fabVNe2bVuMHz8eQUFBqF+/PoYPHy7VZWRkoGPHjmjSpAlCQkKkPNFEx44dkZKSAkD9bw0A1tbWuHTpUoXrDxo0CEOHDkVISAicnZ3x7rvv4ujRo2jbti3q1auHsWPHSm3Ly02g4tyiZ+fq1TsI6+QPExND1KhhhM6d/XHh4lVth0XVVGiH5ggJ8YaFec0K28XuPgGhEgjt0PwFRUYvg6ilu/D+kPbwb14fcrkOzEyNUd/ZFkqlCguX7cIn499Ak0YOkMlksLaqidfqWGk7ZKrCQts0QEhrF1iYGZWqCw9zQ5sWzqhhrF+qTi7XgWt9G+i65klyAAA/DUlEQVTqFn9VkMmKX5evZT3vkKkaCW3lhJCWjrAwNXii9ZRKFRatTcLHI3zRxMWq+PPMwgiv1ar4uEqvrvQrd5F+5S7ef68N9HTlqOdkjV5veGJTTCLy8gvx+64zGDOsLUxrGsLZ0Qpvv+mLn39L0nbYRC+9Kj1DUV9fH4GBgYiLi0Pv3r2Rnp6Ozp07Y9SoUcjPz0dcXBwCAgJgaGiI/v37S4M4hw8fxqBBg3D+/HmcPHkSu3fvxpkzZ6Cjo4Ps7Gzo6xefOGVnZ8PDwwOfffYZdu7cidGjR6Nz585lxpKVlYWEhAT8888/qF+/Pt555x04ODigf//+GDlyJN555x2cO3cOXl5eeOutt9C5c2d07doVnp6eGDNmDABgx44dWL16NRISEmBubo6hQ4di0qRJ0gDckSNHcPz4cVhZWaFv375Yvnw5Jk+eXGY8H374odrlvVeuXIGnpyc8PT0xfPhwZGVlSZdAL1iwAM7Ozvjzzz8BQOOByp9//hl9+/YFACQnJ2PChAk4fvw4HBwc8MUXX+C9997Djh07EBkZifHjxyMiIgIAkJlZPGNn3LhxCAoKwooVKyCEwJAhQxAVFYUJEyaobadjx46IiIiATCbDpUuX0KJFC1y+fBkGBsUnJ2lpaYiLi0NhYSGaNGmChIQEBAQEYNSoUfDz88Mff/yB69evw9PTE40aNar0fSmVSvz000/w8fHRaD+U5/Tp04iLi4OOjg6aNGmCzMxM7Nq1CwUFBahXrx4GDx4MNze3cnOzRHm59TiFQgGFQqFWZmBgAIPS3wPoMe8M6oSdfxxF27aeEELg922HEdzWS9th0Utu85Z9eOP1FjAw0NN2KFRNPMwrwJlz13GrpSs6hs9D7oN8+Hg6Y8qEN3A/Jw//3M3F2fM3MPWLLShSqtA60BWTPuyCGjUMtR06vaSGfbQVh45fQUGBEq71rdGhtYu2Q6JqZOn3p7FkwynUtjXBwB5N0L1DfQBA+rX7+CczH2dT72JqVAKUSoHWvrUxcWhz1DDhiS2VplKJ4n8I8ahMCKSk3UL65X9QWKhE4wb2Ul3jBvZY/t3BFx0mVRUymbYjeGVU6RmKQPFlqvHx8Thy5Aj8/IovG2vRogUSEhIQHx+P4OBgAEBiYiLatGmDpk2bYvjw4UhJSUFeXh7q1auHoqIivPvuu/juu+9QWFgIHZ3it21oaIgePXoAAAICApCWllZuHG+99RaA4tlr9erVQ3p6Ou7fv4+kpCQMGDAAANC4cWO0atWq3D5iY2PRp08f6d6NI0aMwK5du6T6Tp06wcrKSqN4FixYgKSkJOnVtWvXctu2aNECO3bswLhx4/DLL7/AxMSk3LYpKSnw9PSEvb09oqKi8PHHHwMovrS8U6dO0kDXyJEjsWfPHiiVSgQHB2PmzJmYMWMGDhw4AAsLCwDFl3yXzND08vLC/v37kZqaWmqb6enpCAsLQ9OmTdG9e3fcu3cP6enpUn2fPn2gq6sr3d+xZL/s3r1busemg4NDhfug5D14enrCx8cHMpkMX331VYXtK9OtWzcYGhpCX18f7u7u6NixI/T09GBiYoImTZrg4sWLAMrPzRJl5VZZIiMjYWZmpvaKjIz8T+/hVeHt3RB3796Hr99w+PmPQPb9Bxg2rOJ8Ifovrl//B4cSzuLNXq21HQpVI/fv50EIgdj4M1i9ZDD+jJkAfX05Jnz6I7Kyi48bh46m4ud1/4eY70fj2o1MzJq/TctR08ts+ZfhSPrz/7Bu4ZsIbdMAhgZVei4CVSFj3/XGru/CceDH3hg72Buff3MUuw4U3yMxO6f4B/KExAxsXtwFMUtfx7WbuYhc9pc2Q6YqzNnJCg61zBH1bTwKCopw8e/b2PzbSeQ+UOBhXiGMjfSkGdUAULOmIR48VFTQIxE9C9ViQDEuLg5xcXHSfRPbtGkjlbVr1w4FBQXo0aMH5s2bh+TkZOzbV3wTVoVCATMzMyQnJ+Ott97C+fPn4eHhIQ1qGRgYQPa/0Wu5XA6lUlluHIaGj379l8vlKCoq+x4fsicYDX+8rabbeFIBAQFISkqCv78/tmzZAl9fXyiVSvTq1Uua1Xj37l0Aj+6hePXqVYSHh6Nfv34Q//olqKzYx4wZg99//x21atXCxx9/jJEjRwIAhBDYvHmzNOiZkpKC5cuXl+qrb9++eO+995CcnIykpCTUqFFD7bL0p9n3gYGB8PT0hL+/v1QWHBwsxbJ69WpYW1tLff77b//vbVfk8bjKirOi3HzS9zd58mRkZ2ervcqbwUqPqFQqvPvuHHh7N0DiiRVIPLEC3t4N8O7gOdoOjV5iW7YeQOPGTmjUyFHboVA1Yvy/S0/7920Jh1oWMDE2wKhhHXDkr7+lH9uHvdMWlhYmsLQwwbB32iJu3zmtxUuvBrlcB35er+Fu5kOs/IEDPqQZryY2qGmiDz1dHQQ1d0CfLg2xY+8lAICxUfHM/aF93WFhZggLM0MM7euOuMOa376IXi16unIs+bI3zl24haA3vsb4aTHo8XozmJsaw9hID3n5hSgqUkntc3PzYWL8ZJfiE9GTq/IDir6+vrh9+zY2bNigNqC4ceNGZGRkwM/PD/n5+SgoKICjY/EXt0WLFknr37lzBw8ePEBoaChmzZqFunXrPrOHjJiamqJZs2ZYv349gOLZfQcOHFCrL7lHIgCEhIRg06ZNuH+/+Omyy5cvR2ho6DOJ5fG4/r3d9PR01KhRA71798aiRYtw4cIF5Obm4ueff5YG2EpmRpbQ09NDVFQUrl27hpiYGAQHB2Pnzp24ceMGAGDZsmVo37495HI5UlJS4OzsjCFDhuDjjz+WngzdvXt3zJkzRxogy8zMLHOGYmZmJpydnQEA69evly6ZrkxISAhWr14NoPh+ir/++qtUd+jQISQlJeHIkSOV9uPi4iK127JlCx48eKDR9jVRUW4+KQMDA5iamqq9Si4Lp/JlZT/A9Rv/YED/jjAyMoCRkQH6vx2KkyfTcC/zvz3JnagsKpUKW7YewJs9OTuRnoxpTSPUtjcvs861QS0YcHYYaVFRkYr3UKSnpvOvb53OdUxhoC/XXjBULTWoZ4vVC/vhyB/j8cu6oSgoKIKvtyOcnayhqyvH+dRbUttzF2+hYX1bLUZL9Gqo8gOKenp6aNWqFXJycqT74zVs2BA5OTlo1aoV9PT0YGpqis8//xx+fn7w8fGR7pEIAFevXkWHDh3g4eGBpk2bomnTpggLC3tm8a1duxZLly5F06ZNMXHiRPj6+kqXNPfv3x+bNm2Cl5cXVq5cibCwMLzzzjsICAiAu7s77t+//1wuWQ0PD0dSUpL0UJb4+HjpoSmBgYGYO3cuzMzMKu3H2NgYX3zxBaZPnw43NzfMnTsXnTp1goeHB/bv348VK1YAKH4atJubG7y8vDBlyhTpUuIFCxZIlyl7eHigffv2ZT7sJCoqCr169YKXlxcSExOlwbfKREVF4fDhw2jSpAkGDBiAdu3aab6T/mXBggUYPXo0vL29kZiYWGpw9b+oKDfpxbC0qAknJzts2LALCkUBFIoCbPg+Fvb2lrC04M2/6ckVFSmhUBSiSKmESggoFIUoKHg0s/jgoTPIzMrB6138K+iFqGy9e/hh/Y+HcOt2NvLzC/HNit0I8KuPGiYG6BrmhRVr9iL7/kPcz8nDijV70b5N2U9QJQKKBwEViiIUKcX/Pq+KUFBYfFVGYZESCkURlCoBlbK4rrCouO7cxds4eOwy8hXFs37iD/2N33adQys/J22+HapiipQqKAqUUJbkV4ESBYVK3M8twN6j15CXXwSlUoWExAxs3HYBoUHF5/iGBrro2t4ZK35MRnaOAvdzC7Dix2S0D+QTxKl85y/ewsO8AhQUKvFn3Dls3nYSIwYFwchQD51DmiBqeTxycvNx6cpdrP/pGN7s6qntkElrZNXwVT3JRFnXs5LGcnNzYWJiAplMhvT0dAQEBODYsWN47bXXtB0avSrEUW1HUOWlpl5HZOQGJCenQyVUaNzYCZMmvoUmTepqO7SqTeYHKA9pO4oqZ9HiGCxe8otamZ+vK9Z9NwkAMPrDJTA01MOcyCHaCK/6kAcCuVu1HUWVo1SqMDdqO7ZuOwEA8G9eH59+1BU21jXxMK8AM2bHIDb+LPT1ddGudWNMGvs6aphwtnopNcKB26Vvs/KqWbT6EBZHH1Yr8/Osg3WLemPSFzuxdaf6VTvhnZpg9iedcPr8TUz/ajfSr2RCJgMc7E3xVrgn+nbzeJHhV122wyAuf6HtKLRu0dokfLP+lFqZr4cdoqa0wfBP9yDtavEVUw52JhgY3hg9OzWQ2j3MK8SMxUex+9AV6OvJ0S6gDiYO80UNYz7ITOb0CZC5XtthVDkLlsVh45bjUBQUoVEDO0z4IAQ+zYq/c+c+UGDq7N8Rd/AiDA100a+XLz4YzCtFymTxtrYjeP4UsdqO4MkZhGg7gqfCAcX/6M8//5SeWqxUKvHJJ59ITzsmeiE4oEjPCwcU6XnigCI9TxxQpOeJA4r0HHFAkZ4rDihWTdV0QJE34/mPQkNDn8t9EImIiIiIiIiI6AnIqvyd/V4a3NNERERERERERESkMQ4oEhERERERERERkcY4oEhEREREREREREQa4z0UiYiIiIiIiIjoJSDTdgCvDM5QJCIiIiIiIiIiIo1xQJGIiIiIiIiIiIg0xkueiYiIiIiIiIio+pNx3tyLwj1NREREREREREREGuOAIhEREREREREREWlMJoQQ2g6CiIiIiIiIiIjoPyncq+0InpxeG21H8FR4D0Wi6k55SNsR0MtKHgg83K7tKOhlZdwZ4tRobUdBLymZRxTE9u7aDoNeUrLOMVCO8NF2GPSSki89DnHmQ22HQS8pmdsCbYfwAsi0HcArg5c8ExERERERERERkcY4oEhEREREREREREQa4yXPRERERERERERU/cl4yfOLwhmKREREREREREREpDEOKBIREREREREREZHGOKBIREREREREREREGuM9FImIiIiIiIiIqPqTcd7ci8I9TURERERERERERBrjgCIRERERERERERFpjAOKREREREREREREpDHeQ5GIXjrrN8RiS8xBXLhwDa2D3LFk8SipLjX1OmZ+sQFnz12Gvp4u2rXzwseTImBkZKDFiKm6mDT1e2zbcQJ6enKpbPXSEfBqVhcAsH7jfmz59SgupGagdcvGWLJgsJYipeqgoFCFmavO4tCpu8jMKYCdpSHe6+aMnu3qAAByHxZh2rdnEH/iNgz15ejXyREje7mU6uefLAW6jDmAWtaGiJnX8kW/DaqiCopUmLn5Fg5deIDMB0rYmenivXZW6OlvjhuZhXh9dppae0WRQOvGNbD0vdcAAFHbbyM2ORd/31KgXysLfBxur423QdWBngF0pvwI1DCHalxboKYFZL3GQdbAGzA0Af65BtW25cCpfcXtdfWg83+LgVr1AF19IPsfiN3rIQ5s1erboKpj/fZL2Bp3DRcu56K1tw2+meQj1SWnZWPWqrNIuZwDC1M9fNC7AboHFx83/zp7D0M/P6bWV55CiX5hTpjyntsLfQ+kTTJtB/DK4AzFauqzzz7De++9Jy0fOHAAMpkM8fHxUtnw4cPx6aefPlX/06dPR35+fqnyGzduwNPTE56ennBxcYGRkZG0/OGHHz7Vtp7UpUuXIJPJMHjwoy/qubm5kMme7weHtvY5PTlbW3OMHPYGer/ZulTduAnL4exsj4P7ovDbLzNx/vxVLFn6qxaipOoqondLJB6aI71KBhMBwNbGDCOHhKJ3jwDtBUjVRpFSBRtzA0RP9cXxtSGIfN8dc9aex4GT/wAAZq4+i+zcQsQtbYv1M/zxU+w1xOy9XqqfmavOorFzzRcdPlVxRUrAxlQX0SMccTyyISIjamPOL7dw4Hwualvo4cScRtLr8BeuqGkkR2cvU2l9R2t9THjDFu3cmFtUMdkbw4F7GY8KDIyBqylQfTkIqnFtofptGXTenQXYOxfXK5VQ/TgXqkmdoBrbBqrl4yF7YwTg4qmV+KnqsbU0xIheLnizw2tq5fcfFGLY58fQtU1tHF3bAV996IXPV53F8XP3AADNm1jixPcdpdefS9pCriND51a1tfE2iF56HFCspoKDg9UGsuLi4uDv71+qrF27dk/V/2effVbm4Fbt2rWRlJSEpKQkrFy5Eq6urtLyggULnmpbT8PY2Bg7duzA2bNnn9s2ioqK1Ja1tc/pyYV2aI6QEG9YmJf+EnT12h10fSMA+vq6sLQ0RbtgT1y4WPoLOtHTCG3vgZBgd1iYm2g7FKoGjA11MapvAzjaG0Mmk8GzoTn83axw4lwm8hRKbD+YgdERDWBqogfn2iZ4O8wJP+++ptbH7mO3kJ1biK6t+WWJ1Bkb6GBUmA0crfWL86uuEfxdTHAiPa9U292ncyCEQKjHo+NmuJ85WjeuARNDfl2gCjg2gqxJIFR/fveo7J/rELHrgKzbgBDA6f3ArcuQObsX1wsVcCMVUCn/t4IAhIDM5rVS3dOrKbSFPUL87WFRU0+tPPF8JvT1dNC3oxPkchmaNTRHB387/BR7tcx+YuKuwamWCbwbWbyIsIleOTxDqKZatGiBGzdu4Nq14i8W8fHxmDp1qjS4lZGRgStXriAgIAA5OTkYMmQI/Pz84OHhgaFDh6KgoAAA8Pnnn6Nx48bSLMPLly9j+PDhAICgoCB4enri9u3bGsU0d+5cuLm5wd3dHf369UN2djYAwMHBATdu3AAA9O7dG4GBgQAAhUIBKysrKBQKrFmzBiEhIYiIiIC7uzuaN2+Ov//+u9xt6enpYfLkyZg8eXKZ9RcvXkSXLl3g6+sLDw8PLF68WKrr168fmjdvDg8PD3Tp0gU3b94EUDzz0dzcHBMnToS3t7faOlV1n9OTe/edToj55RDy8wtw5042du0+geC2zbQdFlUjv2z7C35tPkGXnrOxem0cVCqVtkOil4SiQIlTqVlo6FQT6TceoLBIoHHdRwM8jerWxIUrOdJyzoNCzP7uPKYP5WVcVDlFoQqnruShYa3St/j4+UgWXvc2g4EevxrQE9CRQ6ffp1BtnA0UFZbfrqYFYF8X4vpF9dVHfg2dhYcgn7YZyLkHkRT3nAOm6k4lBIR4vAy4cCmnzPab91xDz/Z1XkBkVKXIZNXvVU3xrKGa0tfXR2BgIOLi4qBQKJCeno7OnTvj2rVryM/PR1xcHAICAmBoaIhx48YhKCgIR48excmTJ6FSqRAVFYXMzEzMmzcPJ06cQFJSEg4dOgQ7OzssW7YMALB//34kJSXB1ta20nh27NiB1atX4+DBgzh9+jRMTEwwadIkAED79u0RGxsLlUqFkydPIjs7G/fv38eBAwfg4+MDA4PiE9tjx45h1qxZOH36NEJCQjBnzpwKtzl8+HAkJyfj4MGDauVKpRIRERH46quvcOzYMRw+fBjffvstjh0rvp/G119/jb/++gunTp1CUFAQpk+fLq2bnZ0NNzc3nDhxAmPGjKlS+1yhUOD+/ftqL4VCUenfhtS1DnLHiRMX4e07Aq3ajEEte0v07BGk7bComugfEYSdWycjYc9MfDGtL9b+sA9rv9+n7bDoJSCEwJRlyXCqZYJQfzs8zC+CsYEcuvJHp2qmJnp4kKeUlueuT0F4WwfUrcUZsVQxIQSm/JgBJxt9tVmIAHD9XiESLjzAmy3MtRMcVVuyDgMgrp4HUhPLbyTXhc7gSIgTscCVc2pVqiVjoBrdCsr5QyAS9wCFPK+linm6WiBPocT67ZdQWKTCiXP3EHvkFnLzikq1/evsPVy79RDd2zpoIVKiVwMHFKuxkktwjxw5Aj8/PwDFs+gSEhIQHx+P4OBgAEBMTAzmzp0LT09PeHl5Yf/+/UhNTYWpqSkaNGiAt99+G8uXL8e9e/dgaGj4VLHExsaiT58+MDc3BwCMGDECu3btAgCEhIQgNjYWiYmJaNasGdq1a4f4+HjExsaiffv2Uh8BAQFwdnaW/p2WllZqO/+mp6eHmTNnYuLEiWrlKSkpOHPmDPr27QtPT08EBgYiJydHujz6+++/R/PmzdG0aVOsXLkSSUlJan2+/fbb5W5Tm/s8MjISZmZmaq/IyEiN1qVi2dkP8M7geXjzzdZIOr4cRxMWw8hIHxMmfqvt0KiacGv8Giwta0Au14GnR10Meac9tv+ZpO2wqJoTQuCzFWeRfuMBvpngBR0dGYwNdZFXoESR8tEM2JyHhTAxKn4g0F/n7iExJQvvdaunrbCpmhBC4LOfbyL9dgG+ebcOdHTUZ0JsOZqFxg6GaOTwdOeA9IqyqQNZUE+ILVHlt5HrQmfol0BBPsT6mWW3ESrg4gnA1BKyDgOeT6z00rCoqY+lk32wbf8NtHp3N75an4Ie7erA/LFLowHg591XEdzcDpZmfPAi0fPCpzxXY8HBwVi1ahUcHR3Rtm1bAECbNm0QFxeHuLg4rFmzBkDxieTmzZvRsGHDUn0cPnwYhw4dQnx8PFq0aIEffvgBQUH/fbbWvx+QEhISgsmTJ6NJkyYICQmBnZ0dYmNjkZCQgKVLl0rt/j2wJpfLpXsYjho1Cvv2Fc8AWrduHWrWfPTLekREBObOnYtffvlFKhNCwNLSUm2gsMSBAwewcOFCJCQkwNbWFr/++iumTp0q1RsbG0NHp/xxdm3u88mTJ2Ps2LFqZcWzO49Xui4Vu3L1NhT5BRjwdgfIZDLo6+uib+9gDBk2X9uhUTWlU40vUaCqQQiBGSvP4lRqNqKn+qKmSfGXIufaJtCVy3D+Ug6a1jcDAJy7lIOGjsXHwITTd3H11kO0HlZ8iWBBoQqKAhVavLsbv37VErYWHByi/+XX5ps4dTkP0SOdUNNIrlavUglsPZqFoe2ttRQhVVey+l6AqSV0Pvvfk5nluoCBMXTm7obqm9HA1fPQGTIHkOtBtWwsoCw9g0yNji5g6/j8A6dqz7uxJTZGBkrLH85LhK+blVqb3IeF+OPQTSyc4P2iwyN6pXCGYjXm6+uL27dvY8OGDWqDWxs3bkRGRoY0g6579+6YM2eONECXmZmJ1NRU5OTk4NatWwgKCsKnn36KVq1aITGx+JKFmjVrSvdA1ERISAg2bdqE+/fvAwCWL1+O0NBQAMUPcjEzM8OyZcsQEhKC4OBgbNu2DZcuXYK3d+Uf8gsXLpQe/OLu7q5WJ5PJMHv2bEyZMkUqc3V1hampKaKjo6Wy1NRU3Lt3D5mZmahZsyasrKxQUFCA5cuXa/weAe3ucwMDA5iamqq9Si4XJ3VFRUooFIUoUiqhEgIKRSEKCopQz7kWjI0N8f0Pe1BUpETugzxs+nkvGjfmCSxpZvuficjNzYcQAqfPXMGK6N0Ibe8h1T/KPRVUqv/lXmElX6LolTZz1TmcSMnCqk+bw6zGoxkWRgZydA6shYU/XkTOg0JcyniADTsuo9f/7gX1zuvO2LmwNWLmtkTM3JYY1acBnGubIGZuS1iZ8thAxWZuvoUT6XlYNcIRZsbyUvUHLzxA5gMluniblqorVAooCos/y5Sq4nswFipFqXb0ahLHd0E1tTtUX0QUv9bPBBQPofoiAriWAp335gAGRlAtG1f6/op1GgKN/AE9A0BHDjRtBZlfGHA2QTtvhqqcIqUKigIllCpRfD5VoERBYfGM/bN/Z6OgUIl8hRKbdl3B0TN3MeD1umrrb9ufAfOaemjpyR9LXk061fBVPXGGYjWmp6eHVq1a4eTJk2jUqBEAoGHDhsjJyUGrVq2gp1f8xWTBggWYNGkSPD09oaOjA11dXXz55ZcwNDREr1698ODBA8hkMjRo0AADBw4EAIwbNw4dOnSAsbEx/vzzz0rvoxgWFobk5GQEBARAR0cHHh4eWLJkiVQfEhKCbdu2oV694kuz7O3t4eXlVeFsQE117NgR9erVw6VLlwAAurq62LZtG8aMGYMFCxZAqVTC2toa33//PTp16oT169fD1dUVVlZWCAkJwfXrmj/htyrtcyrf0mW/YfGSR7NWPbyGws/XFeu+m4SlS0Zj3vyfsCBqM+Q6OvDyboA5ke9pMVqqTjZsPICpMzdBqVTB1tYMEb1b4t3+baX6pSt3YfHyP6RljxYfwc+nPtat/EAL0VJVd/1OHr7/4wr09XTQfsReqfyN1rXx2VA3fDq4CaZ+m4w2w+NhqC9Hv06O6N6m+F5QNYx1UcP40WmcqYkudOUy2FtxZiIVu36vEN8fzIS+rgztZ6RK5W/4mOGz3rUAAJsPZyHUw7TUzEUA+PTHDMQce/RD54YDmejua4bZb/GJ4gSgMB/Iyn+0nJNZ/ETnrNtAA2/IPNtCFORDZ+5uqYn4YzXEzujih7l0ex+wcyquuHsD4uf5EMd2vuA3QVXV0p9S8c2mR59bzfr+AV83S6yb2QLrfr+E2CO3oFQJeLpaYM1n/rCzVD/2bd59FeHtSt/igYieLZkQjz8niYiqFeUhbUdALyt5IPBwu7ajoJeVcWeIU6O1HQW9pGQeURDbu2s7DHpJyTrHQDnCR9th0EtKvvQ4xJkPtR0GvaRkbgu0HcLzpzqi7QienI6/tiN4KpyhSERERERERERE1R/vcf7CVN+LtYmIiIiIiIiIiOiF44AiERERERERERERaYwDikRERERERERERKQx3kORiIiIiIiIiIheApw396JwTxMREREREREREZHGOKBIREREREREREREGuMlz0REREREREREVP3JZNqO4JXBGYpERERERERERESkMQ4oEhERERERERERkcY4oEhEREREREREREQakwkhhLaDICJ63hQKBSIjIzF58mQYGBhoOxx6yTC/6HliftHzxPyi54n5Rc8T84tIuzigSESvhPv378PMzAzZ2dkwNTXVdjj0kmF+0fPE/KLniflFzxPzi54n5heRdvGSZyIiIiIiIiIiItIYBxSJiIiIiIiIiIhIYxxQJCIiIiIiIiIiIo1xQJGIXgkGBgaYNm0ab9hMzwXzi54n5hc9T8wvep6YX/Q8Mb+ItIsPZSEiIiIiIiIiIiKNcYYiERERERERERERaYwDikRERERERERERKQxDigSERERERERERGRxjigSERERERERERERBrjgCIRPVPffPMN6tatC0NDQ/j7++Po0aNSXX5+Pt5//31YWVmhRo0a6NmzJ27dulVpnz/99BMaNWoEQ0NDuLu7Y/v27Wr1QghMnToVtWrVgpGREUJCQnDx4sVK+71y5Qq6dOkCY2Nj2NraYsKECSgqKpLqDxw4gJYtW8LKygpGRkZo1KgRFixYUGm/devWhUwmU3vNnj1brc2mTZvg6ekJY2NjODk5Ye7cuZX2SxXnVwkhBMLCwiCTyRATE1Npn9rKr0GDBpXKE5lMBjc3twr7ZX49PxXl182bN9G/f3/Y29vDxMQE3t7e2Lx5c6V9xsfHw9vbGwYGBnBxccGaNWueaLvl+eKLLxAYGAhjY2OYm5uX2WbUqFHw8fGBgYEBPD09K+0TAKZPn14qvxo1aqTWJi0tDeHh4bCxsYGpqSl69+6t0Wf5q2rfvn144403ULt27VKfS4WFhZg4cSLc3d1hYmKC2rVrY8CAAbhx40al/Wozt8r67Nq4cWOF/Zb1mdepUye1NidOnECHDh1gbm4OKysrDB06FLm5uZXG/CqrKL9KnDt3Dl27doWZmRlMTEzg6+uLK1euVNjvqVOnEBQUBENDQ7z22mv48ssvS7Wp7PhZlm+//RZt27aFqakpZDIZsrKySrV5mjxYs2ZNqfwyNDRUa3Pr1i0MGjQItWvXhrGxMTp16qTR8fxVFhkZCV9fX9SsWRO2trbo3r07UlJS1NpUpfP7kydPIiIiAq+99hqMjIzQuHFjREVFqbXh+T3RMySIiJ6RjRs3Cn19fbF69Wpx5swZMWTIEGFubi5u3bolhBBi+PDh4rXXXhO7d+8Wf/31l2jRooUIDAyssM+DBw8KuVwuvvzyS3H27FkxZcoUoaenJ06fPi21mT17tjAzMxMxMTHi5MmTomvXrsLZ2Vnk5eWV229RUZFo2rSpCAkJEYmJiWL79u3C2tpaTJ48WWpz4sQJ8f3334vk5GSRnp4u1q1bJ4yNjcXy5csrjNnJyUnMmDFDZGRkSK/c3Fypfvv27UJXV1csXbpUpKWliW3btolatWqJRYsWVdjvq66y/Coxf/58ERYWJgCIrVu3VtinNvMrKytLLUeuXr0qLC0txbRp0yqMmfn1fFSWXx06dBC+vr7iyJEjIi0tTcycOVPo6OiIEydOlNvn33//LYyNjcXYsWPF2bNnxaJFi4RcLhc7d+7UeLvlmTp1qpg/f74YO3asMDMzK7PN//3f/4nFixeL/v37i2bNmmm0H6ZNmybc3NzU8uvOnTtSfW5urqhXr54IDw8Xp06dEqdOnRLdunUTvr6+QqlUarSNV8327dvFJ598IrZs2VLqcykrK0uEhISIH3/8UZw/f14kJCQIPz8/4ePjU2Gf2s4tACI6OlotTyr6TBRCiIEDB4pOnTqprXPv3j2p/vr168LCwkIMHz5cnD9/Xhw9elQEBgaKnj17Vtjvq66i/BJCiNTUVGFpaSkmTJggTpw4IVJTU8Uvv/xSYR5kZ2cLOzs70a9fP5GcnCx++OEHYWRkpHb+o8nxsywLFiwQkZGRIjIyUgAQmZmZavVPmwfR0dHC1NRULb9u3rwp1atUKtGiRQsRFBQkjh49Ks6fPy+GDh0qHB0d1Y6hpK5jx44iOjpaJCcni6SkJNG5c+dS+6wqnd+vWrVKjBo1SsTHx4u0tDSxbt06YWRkpHYOxPN7omeHA4pE9Mz4+fmJ999/X1pWKpWidu3aIjIyUmRlZQk9PT3x008/SfXnzp0TAERCQkK5ffbu3Vt06dJFrczf318MGzZMCFF8gmhvby/mzp0r1WdlZQkDAwPxww8/lNvv9u3bhY6OjtrJ5tKlS4WpqalQKBTlrhceHi7efvvtcuuFKD7hWLBgQbn1ERERolevXmplCxcuFHXq1BEqlarCvl9lFeVXicTEROHg4CAyMjI0GlCsSvm1detWIZPJxKVLlyqMmfn1fFSWXyYmJmLt2rVq61haWooVK1aU2+dHH30k3Nzc1Mr69OkjOnbsqPF2KxMdHV3uoE+JadOmPdGAYkVt//jjD6GjoyOys7OlsqysLCGTycSuXbs02sarTJPPpaNHjwoA4vLly+W20XZuafI+Hjdw4EDRrVu3cuuXL18ubG1t1QamT506JQCIixcvPtG2XlVl/V369OlT6XnL45YsWSIsLCzUjlcTJ04Urq6u0nJlx8/KxMXFlTmg+LR5UNlnYUpKigAgkpOTpTKlUilsbGwq/Bwndbdv3xYAxN69e4UQosqd35dl5MiRIjg4uMI2PL8nejq85JmInomCggIcP34cISEhUpmOjg5CQkKQkJCA48ePo7CwUK2+UaNGcHR0REJCglRWt25dTJ8+XVpOSEhQWwcAOnbsKK2Tnp6OmzdvqrUxMzODv7+/Wr+PS0hIgLu7O+zs7NT6vX//Ps6cOVPmOomJiTh06BDatGkjlZVcYvO42bNnw8rKCl5eXpg7d67apa4KhaLUZThGRka4du0aLl++XG7Mr7LK8gsAHj58iLfeegvffPMN7O3ty+ynKufXqlWrEBISAicnJ6mM+fViaJJfgYGB+PHHH3Hv3j2oVCps3LgR+fn5aNu2rbRO27ZtMWjQIGm5svzSZLvPm0wmK3Wp7MWLF1G7dm3Uq1cP/fr1U7s0UqFQQCaTwcDAQCozNDSEjo4ODhw48EJiftllZ2dDJpOpXW5cFXPr/fffh7W1Nfz8/LB69WoIIaS6S5cuQSaTIT4+Xm2d+Ph42NrawtXVFSNGjMDdu3elOoVCAX19fejoPPp6YmRkBADMraekUqnw+++/o2HDhujYsSNsbW3h7+9f6rLoQYMGqX2WJSQkoHXr1tDX15fKOnbsiJSUFGRmZkptKsrBp6VpHjx+PAeA3NxcODk54bXXXkO3bt3UjrcKhQIA1I6POjo6MDAwYH49gezsbACApaUlAFS58/vyYi6Jtyw8vyd6ehxQJKJn4p9//oFSqVQbQAEAOzs73Lx5Ezdv3oS+vn6p+zGV1JeoX78+rK2tpeWbN2+W22dJfUlZRf0+rrx+/91niTp16sDAwADNmzfH+++/j/fee0+qMzMzg6urq1r7UaNGYePGjYiLi8OwYcMwa9YsfPTRR1J9x44dsWXLFuzevRsqlQoXLlzAV199BQDIyMgoN+ZXWWX5BQAffvghAgMD0a1bt3L7qYr5BQA3btzAjh071HILYH69KJrk16ZNm1BYWAgrKysYGBhg2LBh2Lp1K1xcXKT2jo6OqFWrlrRcXh7cv38feXl5Gm33eXN1dYWZmZm07O/vjzVr1mDnzp1YunQp0tPTERQUhJycHABAixYtYGJigokTJ+Lhw4d48OABxo8fD6VSyfx6BvLz8zFx4kRERETA1NRUKq9quTVjxgxs2rQJu3btQs+ePTFy5EgsWrRIqtfT04OrqyuMjY2lsk6dOmHt2rXYvXs35syZg7179yIsLAxKpRIA0K5dO9y8eRNz585FQUEBMjMzMWnSJAD87Hpat2/fRm5uLmbPno1OnTrhzz//RHh4OHr06IG9e/dK7WrVqgVHR0dpWZNjWGXHz6elaR48fjx3dXXF6tWr8csvv2D9+vVQqVQIDAzEtWvXADwa5Jo8eTIyMzNRUFCAOXPm4Nq1a8wvDalUKowZMwYtW7ZE06ZNAaDKnd8/7tChQ/jxxx8xdOjQUnU8vyf673S1HQAR0b/t3r37mfcZFhaG/fv3AwCcnJzKnSFWnv379yM3NxeHDx/GpEmT4OLigoiICABAeHg4wsPD1dqPHTtW+reHhwf09fUxbNgwREZGwsDAAEOGDEFaWhpef/11FBYWwtTUFKNHj8b06dPVfpEnzf3666/Ys2cPEhMTK2xXFfMLAL777juYm5uje/fuauXMr6rj008/RVZWFmJjY2FtbY2YmBj07t0b+/fvh7u7OwBg7dq1z3y7w4cPx/r166XlZ/2AivPnz6sth4WFSf/28PCAv78/nJycsGnTJgwePBg2Njb46aefMGLECCxcuBA6OjqIiIiAt7c38+s/KiwsRO/evSGEwNKlS9Xqqlpuffrpp9K/vby88ODBA8ydOxejRo0CADg4OJTKrb59+0r/dnd3h4eHB+rXr4/4+Hi0b98ebm5u+O677zB27FhMnjwZcrkco0aNgp2dHXPrKalUKgBAt27d8OGHHwIAPD09cejQISxbtkyakRUZGfnMtz1r1izMmjVLWj579qzaoGV5NM2Dx4/nAQEBCAgIkJYDAwPRuHFjLF++HDNnzoSenh62bNmCwYMHw9LSEnK5HCEhIQgLC1ObXUvle//995GcnPxUMzq1cf6VnJyMbt26Ydq0aQgNDS21Ps/vif47DigS0TNhbW0NuVxe6qlut27dgr29Pezt7VFQUICsrCy1XzFL6stjb29fbp8l9SVl/569cevWLemppitXrkReXh6A4lkTJes9/rTLku08Ho+zszOA4i9At27dwvTp06UTDk34+/ujqKgIly5dgqurK2QyGebMmYNZs2bh5s2bsLGxkU606tWrp3G/r5LK8mvPnj1IS0sr9Qt5z549ERQUVOqyuxJVIb+EEFi9ejX69++vdnmZpphf/11l+ZWWlobFixcjOTlZegp3s2bNsH//fnzzzTdYtmxZmf2Wl1+mpqYwMjKCXC6vcLtA8Uyw8ePHP6u3+sTMzc3RsGFDpKamSmWhoaFIS0vDP//8A11dXZibm8Pe3p759R+UDCZevnwZe/bsUZudWJaqllv+/v6YOXMmFAqF2uXwFalXrx6sra2RmpqK9u3bAwDeeustvPXWW7h16xZMTEwgk8kwf/585tZTsra2hq6uLpo0aaJW3rhx4woHhcrLr5K6itqU1A8fPhy9e/eW6mrXrq1x3M8iD/T09ODl5aX22eXj44OkpCRkZ2ejoKAANjY28Pf3R/PmzTXu91X1wQcfYNu2bdi3bx/q1KkjlVe18/sSZ8+eRfv27TF06FBMmTKlzBh4fk/033GonIieCX19ffj4+Kj9AqlSqbB7924EBATAx8cHenp6avUpKSm4cuWK2i/KjwsICCj1q+auXbukdZydnWFvb6/W5v79+zhy5IjUxsHBAS4uLnBxcZHuTxcQEIDTp0/j9u3bav2ampqWOvH+N5VKJd2HR1NJSUnQ0dGBra2tWrlcLoeDgwP09fXxww8/ICAgADY2Nk/U96uisvyaNGkSTp06haSkJOkFAAsWLEB0dHS5/VaF/Nq7dy9SU1MxePDgp9gzzK9nobL8evjwIQCUmmEgl8ulGUBlqSy/KtsuANja2kr59e/Lq1+U3NxcpKWlqX2hK2FtbQ1zc3Ps2bMHt2/fRteuXV94fC+DksHEixcvIjY2FlZWVpWuU9VyKykpCRYWFhoPJgLAtWvXcPfu3TJzy87ODjVq1MCPP/4IQ0NDdOjQ4T/F96rS19eHr68vUlJS1MovXLigdr/exwUEBGDfvn0oLCyUynbt2gVXV1dYWFhIbSrKQUtLS7X80tV98nks/yUPlEolTp8+XWZ+mZmZwcbGBhcvXsRff/1V4a1SXnVCCHzwwQfYunUr9uzZIw3Clahq5/cAcObMGQQHB2PgwIH44osvNHqfPL8nekpafSQMEb1UNm7cKAwMDMSaNWvE2bNnxdChQ4W5ubn0pNvhw4cLR0dHsWfPHvHXX3+JgIAAERAQoNZHu3btxKJFi6TlgwcPCl1dXTFv3jxx7tw5MW3aNKGnpydOnz4ttZk9e7YwNzcXv/zyizh16pTo1q2bcHZ2Fnl5eeXGWlRUJJo2bSpCQ0NFUlKS2Llzp7CxsRGTJ0+W2ixevFj8+uuv4sKFC+LChQti5cqVombNmuKTTz6R2mzZskXtqYeHDh0SCxYsEElJSSItLU2sX79e2NjYiAEDBkht7ty5I5YuXSrOnTsnEhMTxahRo4ShoaE4cuTIU+z1V0dl+fU4lPG0y6qUXyXefvtt4e/vX2Y/zK8Xp6L8KigoEC4uLiIoKEgcOXJEpKaminnz5gmZTCZ+//13qY/+/fuLSZMmSct///23MDY2FhMmTBDnzp0T33zzjZDL5WLnzp0abbcily9fFomJieKzzz4TNWrUEImJiSIxMVHk5ORIbS5evCgSExPFsGHDRMOGDaU2/35yq6urq9iyZYu0PG7cOBEfHy/S09PFwYMHRUhIiLC2tha3b9+W2qxevVokJCSI1NRUsW7dOmFpaSnGjh37dDv+FZCTkyPtewBi/vz5IjExUVy+fFkUFBSIrl27ijp16oikpCSRkZEhvf79d6pKufXrr7+KFStWiNOnT4uLFy+KJUuWCGNjYzF16lSpj2vXrglXV1fpcycnJ0eMHz9eJCQkiPT0dBEbGyu8vb1FgwYNRH5+vrTeokWLxPHjx0VKSopYvHixMDIyElFRUf/tD/CSqyi/hCg+jujp6Ylvv/1WXLx4USxatEjI5XKxf/9+qY9JkyaJ/v37S8tZWVnCzs5O9O/fXyQnJ4uNGzcKY2NjsXz5cqmNJsfPsmRkZIjExESxYsUKAUDs27dPJCYmirt370ptNMmDx4/nn332mfjjjz9EWlqaOH78uOjbt68wNDQUZ86ckdps2rRJxMXFibS0NBETEyOcnJxEjx49nnCPv1pGjBghzMzMRHx8vNrn08OHD6U2Ven8/vTp08LGxka8/fbbavH++xjG83uiZ4cDikT0TC1atEg4OjoKfX194efnJw4fPizV5eXliZEjRwoLCwthbGwswsPDRUZGhtr6Tk5OYtq0aWplmzZtEg0bNhT6+vrCzc1N7Qu8EEKoVCrx6aefCjs7O2FgYCDat28vUlJSKo310qVLIiwsTBgZGQlra2sxbtw4UVhYKNUvXLhQuLm5CWNjY2Fqaiq8vLzEkiVLhFKplNpER0eLf/82c/z4ceHv7y/MzMyEoaGhaNy4sZg1a5baF6Y7d+6IFi1aCBMTE2FsbCzat2+vtp+ofBXl1+PKGlCsSvklRPGXNiMjI/Htt9+W2Qfz68WqKL8uXLggevToIWxtbYWxsbHw8PAQa9euVVu/TZs2YuDAgWplcXFxwtPTU+jr64t69eqJ6OjoJ9pueQYOHCgAlHrFxcWpxVNWm/T0dKkNALWY+vTpI2rVqiX09fWFg4OD6NOnj0hNTVXb9sSJE4WdnZ3Q09MTDRo0EF999ZVQqVSVxvyqiouLK/PvMHDgQJGenl5mXVl/y6qSWzt27BCenp6iRo0awsTERDRr1kwsW7ZM7dhY8r5K1nn48KEIDQ0VNjY2Qk9PTzg5OYkhQ4aUGtzs37+/sLS0FPr6+mX+H6PSKsqvEqtWrRIuLi7C0NBQNGvWTMTExKj1MXDgQNGmTRu1spMnT4pWrVoJAwMD4eDgIGbPnl1q25UdP8sybdq0MuP9d/5qkgePH8/HjBkj5bqdnZ3o3LmzOHHihNo6UVFRok6dOkJPT084OjqKKVOmqA3cU2nlfT79++9Vlc7vy8svJycnqQ3P74meHZkQvAstERERERERERERaYb3UCQiIiIiIiIiIiKNcUCRiIiIiIiIiIiINMYBRSIiIiIiIiIiItIYBxSJiIiIiIiIiIhIYxxQJCIiIiIiIiIiIo1xQJGIiIiIiIiIiIg0xgFFIiIiIiIiIiIi0hgHFImIiIiIiIiIiEhjHFAkIiIiomotPj4eMpkMWVlZ2g6lTGvWrIG5uXmV7Y+IiIjoSXFAkYiIiOglN3v2bMhkMowZM6bStjKZDDExMaXKBw0ahO7duz/z2CozaNAgyGSycl9169ZFYGAgMjIyYGZm9sLjq1u3rhSLXC5H7dq1MXjwYGRmZr7wWIiIiIheFA4oEhEREb3Ejh07huXLl8PDw0PboVSqoKCgVFlUVBQyMjKkFwBER0dLy8eOHYO+vj7s7e0hk8ledMgAgBkzZiAjIwNXrlzBhg0bsG/fPowaNUorsRARERG9CBxQJCIiInpJ5ebmol+/flixYgUsLCyead8KhQKjRo2Cra0tDA0N0apVKxw7dkyqL+uy3JiYGLVBv+nTp8PT0xMrV66Es7MzDA0NS23HzMwM9vb20gsAzM3NpWUbG5tSlzyXbHvbtm1wdXWFsbExevXqhYcPH+K7775D3bp1YWFhgVGjRkGpVKq9p/Hjx8PBwQEmJibw9/dHfHx8pfuiZs2asLe3h4ODA4KDgzFw4ECcOHGiwnWWLl2K+vXrQ19fH66urli3bp1afVZWFoYNGwY7OzsYGhqiadOm2LZtW5l93blzB82bN0d4eDgUCkWl8RIRERH9V7raDoCIiIiIno/3338fXbp0QUhICD7//PNn2vdHH32EzZs347vvvoOTkxO+/PJLdOzYEampqbC0tNS4n9TUVGzevBlbtmyBXC5/ZvE9fPgQCxcuxMaNG5GTk4MePXogPDwc5ubm2L59O/7++2/07NkTLVu2RJ8+fQAAH3zwAc6ePYuNGzeidu3a2Lp1Kzp16oTTp0+jQYMGGm33+vXr+O233+Dv719um61bt2L06NH4+uuvERISgm3btuGdd95BnTp1EBwcDJVKhbCwMOTk5GD9+vWoX78+zp49W+b+uXr1Kjp06IAWLVpg1apVz3QfEhEREZWHA4pEREREL6GNGzfixIkTarMGNRUREVFqYEqhUKBLly4AgAcPHmDp0qVYs2YNwsLCAAArVqzArl27sGrVKkyYMEHjbRUUFGDt2rWwsbF54jgrUlhYKM0CBIBevXph3bp1uHXrFmrUqIEmTZogODgYcXFx6NOnD65cuYLo6GhcuXIFtWvXBgCMHz8eO3fuRHR0NGbNmlXutiZOnIgpU6ZAqVQiPz8f/v7+mD9/frnt582bh0GDBmHkyJEAgLFjx+Lw4cOYN28egoODERsbi6NHj+LcuXNo2LAhAKBevXql+klJSUGHDh0QHh6Or7/+WmuXfBMREdGrh5c8ExEREb1krl69itGjR2PDhg1lXkYMAMOHD0eNGjWk178tWLAASUlJaq+uXbtK9WlpaSgsLETLli2lMj09Pfj5+eHcuXNPFKuTk9MzH0wEAGNjY2kwEQDs7OxQt25dtfdqZ2eH27dvAwBOnz4NpVKJhg0bqu2XvXv3Ii0trcJtTZgwAUlJSTh16hR2794NAOjSpYva5dT/du7cObV9BwAtW7aU9l1SUhLq1KkjDSaWJS8vD0FBQejRoweioqI4mEhEREQvFGcoEhEREb1kjh8/jtu3b8Pb21sqUyqV2LdvHxYvXgyFQoEZM2Zg/PjxZa5vb28PFxcXtbKaNWtK9yjUhI6ODoQQamWFhYWl2pmYmGjc55PQ09NTW5bJZGWWqVQqAMX3m5TL5Th+/Hip2ZmPD7g+ztraWtpfDRo0wNdff42AgADExcUhJCTkiWM3MjKqtI2BgYF0ufSECRPg4ODwxNshIiIielqcoUhERET0kmnfvj1Onz6tNsOwefPm6NevH5KSkiCXy2FrawsXFxfp9SRKHiZy8OBBqaywsBDHjh1DkyZNAAA2NjbIycnBgwcPpDZJSUnP5P09D15eXlAqlbh9+7bafnFxcZEeBqOpkgHJvLy8MusbN26stu8A4ODBg9K+8/DwwLVr13DhwoVyt6Gjo4N169bBx8cHwcHBuHHjxhPFSERERPRfcIYiERER0UumZs2aaNq0qVqZiYkJrKysSpU/DRMTE4wYMQITJkyApaUlHB0d8eWXX+Lhw4cYPHgwAMDf3x/Gxsb4+OOPMWrUKBw5cgRr1qz5z9t+Xho2bIh+/fphwIAB+Oqrr+Dl5YU7d+5g9+7d8PDwkO4fWZacnBzcvHkTQghcvXoVH330EWxsbBAYGFhm+wkTJqB3797w8vJCSEgIfvvtN2zZsgWxsbEAgDZt2qB169bo2bMn5s+fDxcXF5w/fx4ymQydOnWS+pHL5diwYQMiIiLQrl07xMfHP/HgJxEREdHT4AxFIiIiInpis2fPRs+ePdG/f394e3sjNTUVf/zxBywsLAAAlpaWWL9+PbZv3w53d3f88MMPmD59unaDrkR0dDQGDBiAcePGwdXVFd27d8exY8fg6OhY4XpTp05FrVq1ULt2bbz++uswMTHBn3/+CSsrqzLbd+/eHVFRUZg3bx7c3NywfPlyREdHo23btlKbzZs3w9fXFxEREWjSpAk++uijMu/JqKurix9++AFubm5o166ddE9IIiIioudJJh6/uQ0RERERERERERFROThDkYiIiIiIiIiIiDTGAUUiIiIiIiIiIiLSGAcUiYiIiIiIiIiISGMcUCQiIiIiIiIiIiKNcUCRiIiIiIiIiIiINMYBRSIiIiIiIiIiItIYBxSJiIiIiIiIiIhIYxxQJCIiIiIiIiIiIo1xQJGIiIiIiIiIiIg0xgFFIiIiIiIiIiIi0hgHFImIiIiIiIiIiEhj/w8OHCguDZvVxAAAAABJRU5ErkJggg==\n" + }, + "metadata": {} + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": "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\n" + }, + "metadata": {} + }, + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\n", + "All EDA graphs saved to /graphs/ folder.\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# ── 5. Train / Test Split ─────────────────────────────────────\n", + "# Train: 2022, 2023, 2024\n", + "# Test: 2025\n", + "\n", + "train = merged[merged['year'].isin([2022, 2023, 2024])].copy()\n", + "test = merged[merged['year'] == 2025].copy()\n", + "\n", + "print(f\"\\n── Train set (2022–2024) ──\")\n", + "print(f\"Rows: {len(train):,}\")\n", + "print(f\"Date range: {train['date'].iloc[0]} → {train['date'].iloc[-1]}\")\n", + "print(train['year'].value_counts().sort_index())\n", + "\n", + "print(f\"\\n── Test set (2025) ──\")\n", + "print(f\"Rows: {len(test):,}\")\n", + "print(f\"Date range: {test['date'].iloc[0]} → {test['date'].iloc[-1]}\")\n", + "\n", + "# Quick check: no data leakage between sets\n", + "assert set(train['year'].unique()).isdisjoint(set(test['year'].unique())), \\\n", + " \"ERROR: years overlap between train and test!\"\n", + "print(\"\\nNo year overlap between train and test — split is clean.\")\n" + ], + "metadata": { + "id": "BU2pxML1cp_Q", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "2fe6b732-6633-4806-b596-76291be9e926" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\n", + "── Train set (2022–2024) ──\n", + "Rows: 94,188\n", + "Date range: 05/10/2022 → 12/31/2024\n", + "year\n", + "2022 25119\n", + "2023 30996\n", + "2024 38073\n", + "Name: count, dtype: int64\n", + "\n", + "── Test set (2025) ──\n", + "Rows: 25,825\n", + "Date range: 01/01/2025 → 06/18/2025\n", + "\n", + "No year overlap between train and test — split is clean.\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "#view head of train set\n", + "train.head()" + ], + "metadata": { + "id": "MEF0CllQd82j", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 556 + }, + "outputId": "2eecc35a-e7f3-4656-efb7-d086aae3c75b" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + " date time_block region_id region_name \\\n", + "0 05/10/2022 08:00-11:59 4 Edge Water-Uptown \n", + "1 05/10/2022 12:00-15:59 4 Edge Water-Uptown \n", + "2 05/10/2022 16:00-19:59 4 Edge Water-Uptown \n", + "3 05/10/2022 20:00-23:59 4 Edge Water-Uptown \n", + "4 05/10/2022 16:00-19:59 9 Austin \n", + "\n", + " description trip_count avg_distance_m \\\n", + "0 Montrose to Devon. Ravenswood to Lake Shore 5 452.2 \n", + "1 Montrose to Devon. Ravenswood to Lake Shore 9 494.5 \n", + "2 Montrose to Devon. Ravenswood to Lake Shore 26 427.6 \n", + "3 Montrose to Devon. Ravenswood to Lake Shore 10 83.0 \n", + "4 Roosevelt to North Ave. Austin to Cicero 4 20.5 \n", + "\n", + " avg_duration_s unique_vendors avg_speed_mph avg_bus_count \\\n", + "0 214.4 1 21.72 44.8 \n", + "1 468.0 1 20.78 39.9 \n", + "2 536.7 1 19.24 51.0 \n", + "3 509.7 1 22.86 23.9 \n", + "4 265.7 1 24.40 25.9 \n", + "\n", + " avg_num_reads congestion_level num_readings year \n", + "0 907.7 free_flow 24 2022 \n", + "1 813.0 free_flow 24 2022 \n", + "2 1001.0 moderate 24 2022 \n", + "3 526.3 free_flow 24 2022 \n", + "4 551.4 free_flow 24 2022 " + ], + "text/html": [ + "\n", + "
\n", + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
datetime_blockregion_idregion_namedescriptiontrip_countavg_distance_mavg_duration_sunique_vendorsavg_speed_mphavg_bus_countavg_num_readscongestion_levelnum_readingsyear
005/10/202208:00-11:594Edge Water-UptownMontrose to Devon. Ravenswood to Lake Shore5452.2214.4121.7244.8907.7free_flow242022
105/10/202212:00-15:594Edge Water-UptownMontrose to Devon. Ravenswood to Lake Shore9494.5468.0120.7839.9813.0free_flow242022
205/10/202216:00-19:594Edge Water-UptownMontrose to Devon. Ravenswood to Lake Shore26427.6536.7119.2451.01001.0moderate242022
305/10/202220:00-23:594Edge Water-UptownMontrose to Devon. Ravenswood to Lake Shore1083.0509.7122.8623.9526.3free_flow242022
405/10/202216:00-19:599AustinRoosevelt to North Ave. Austin to Cicero420.5265.7124.4025.9551.4free_flow242022
\n", + "
\n", + "
\n", + "\n", + "
\n", + " \n", + "\n", + " \n", + "\n", + " \n", + "
\n", + "\n", + "\n", + "
\n", + "
\n" + ], + "application/vnd.google.colaboratory.intrinsic+json": { + "type": "dataframe", + "variable_name": "train", + "summary": "{\n \"name\": \"train\",\n \"rows\": 94188,\n \"fields\": [\n {\n \"column\": \"date\",\n \"properties\": {\n \"dtype\": \"object\",\n \"num_unique_values\": 719,\n \"samples\": [\n \"09/07/2022\",\n \"10/23/2022\",\n \"06/18/2022\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"time_block\",\n \"properties\": {\n \"dtype\": \"object\",\n \"num_unique_values\": 6,\n \"samples\": [\n \"08:00-11:59\",\n \"12:00-15:59\",\n \"04:00-07:59\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"region_id\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 8,\n \"min\": 1,\n \"max\": 29,\n \"num_unique_values\": 28,\n \"samples\": [\n 14,\n 5,\n 28\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"region_name\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 28,\n \"samples\": [\n \"Lawndale N/S\",\n \"Dunning-Portage-Belmont Cragn\",\n \"Riverdale-Hegewisch\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"description\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 28,\n \"samples\": [\n \"Pershing to Roosevel. Cicero to Western\",\n \"North Ave to Montrose. East River to Cicero\",\n \"138th to 119th. Ashland to State Line\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"trip_count\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 190,\n \"min\": 1,\n \"max\": 3913,\n \"num_unique_values\": 1515,\n \"samples\": [\n 48,\n 462,\n 1392\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"avg_distance_m\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 162.15390275727378,\n \"min\": 0.0,\n \"max\": 999.0,\n \"num_unique_values\": 7405,\n \"samples\": [\n 93.5,\n 630.0,\n 713.7\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"avg_duration_s\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 101.81260008199585,\n \"min\": -6.7,\n \"max\": 998.0,\n \"num_unique_values\": 5712,\n \"samples\": [\n 599.3,\n 370.6,\n 427.7\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"unique_vendors\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0,\n \"min\": 1,\n \"max\": 4,\n \"num_unique_values\": 4,\n \"samples\": [\n 2,\n 4,\n 1\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"avg_speed_mph\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 4.070703604244065,\n \"min\": 3.62,\n \"max\": 55.06,\n \"num_unique_values\": 2660,\n \"samples\": [\n 33.82,\n 33.01,\n 19.05\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"avg_bus_count\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 21.093774568427843,\n \"min\": 5.0,\n \"max\": 195.1,\n \"num_unique_values\": 1262,\n \"samples\": [\n 151.9,\n 87.0,\n 76.8\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"avg_num_reads\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 425.48168194958953,\n \"min\": 32.0,\n \"max\": 3377.0,\n \"num_unique_values\": 17009,\n \"samples\": [\n 476.2,\n 1502.2,\n 283.7\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"congestion_level\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 3,\n \"samples\": [\n \"free_flow\",\n \"moderate\",\n \"heavy\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"num_readings\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 4,\n \"min\": 1,\n \"max\": 26,\n \"num_unique_values\": 26,\n \"samples\": [\n 13,\n 3,\n 24\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"year\",\n \"properties\": {\n \"dtype\": \"int32\",\n \"num_unique_values\": 3,\n \"samples\": [\n 2022,\n 2023,\n 2024\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}" + } + }, + "metadata": {}, + "execution_count": 13 + } + ] + }, + { + "cell_type": "code", + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 581 + }, + "id": "3ff8ba29", + "outputId": "825fd698-8e20-469c-e642-6f876757634d" + }, + "source": [ + "# Select relevant numeric columns for the correlation matrix\n", + "numeric_cols = [\n", + " 'trip_count',\n", + " 'avg_distance_m',\n", + " 'avg_duration_s',\n", + " 'unique_vendors',\n", + " 'avg_speed_mph',\n", + " 'avg_bus_count',\n", + " 'avg_num_reads',\n", + " 'num_readings'\n", + "]\n", + "\n", + "# Calculate correlation matrix\n", + "heat_corr = merged[numeric_cols].corr()\n", + "\n", + "# Create heatmap\n", + "plt.figure(figsize=(12, 8))\n", + "sns.set(rc={'figure.facecolor':'w'})\n", + "# Using cmap='coolwarm' for better contrast and fmt='.2f' to round decimals\n", + "sns.heatmap(heat_corr, annot=True, cmap='coolwarm', fmt='.2f')\n", + "plt.title(\"Correlation Matrix: Scooter & Congestion Features\")\n", + "plt.tight_layout()\n", + "plt.show()" + ], + "execution_count": null, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": "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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000 + }, + "id": "3ab90d6d", + "outputId": "52d6c8f2-e6aa-4a5d-ed75-8ee644931dc2" + }, + "source": [ + "\n", + "# Drop NaNs created by missing values\n", + "reg_df = merged.dropna(subset=['trip_count', 'avg_speed_mph'])\n", + "\n", + "# Define the independent variable (X) and dependent variable (y)\n", + "X = reg_df['trip_count']\n", + "y = reg_df['avg_speed_mph']\n", + "\n", + "# Add a constant to the independent variable\n", + "X = sm.add_constant(X)\n", + "\n", + "# Fit the linear regression model\n", + "model = sm.OLS(y, X).fit()\n", + "\n", + "# Print the summary\n", + "summary_text = str(model.summary())\n", + "print(summary_text)\n", + "\n", + "# Export summary as PNG\n", + "fig, ax = plt.subplots(figsize=(10, 8))\n", + "ax.text(0.01, 0.05, summary_text, {'fontsize': 10}, fontfamily='monospace')\n", + "ax.axis('off')\n", + "plt.tight_layout()\n", + "plt.savefig('regression_summary.png', bbox_inches='tight', dpi=300)\n", + "print(\"\\nSummary saved as 'regression_summary.png'\")\n", + "plt.show()" + ], + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " OLS Regression Results \n", + "==============================================================================\n", + "Dep. Variable: avg_speed_mph R-squared: 0.007\n", + "Model: OLS Adj. R-squared: 0.007\n", + "Method: Least Squares F-statistic: 816.1\n", + "Date: Tue, 28 Apr 2026 Prob (F-statistic): 6.78e-179\n", + "Time: 19:36:23 Log-Likelihood: -3.3774e+05\n", + "No. Observations: 120013 AIC: 6.755e+05\n", + "Df Residuals: 120011 BIC: 6.755e+05\n", + "Df Model: 1 \n", + "Covariance Type: nonrobust \n", + "==============================================================================\n", + " coef std err t P>|t| [0.025 0.975]\n", + "------------------------------------------------------------------------------\n", + "const 26.3501 0.013 2013.362 0.000 26.324 26.376\n", + "trip_count -0.0018 6.42e-05 -28.568 0.000 -0.002 -0.002\n", + "==============================================================================\n", + "Omnibus: 1363.697 Durbin-Watson: 0.463\n", + "Prob(Omnibus): 0.000 Jarque-Bera (JB): 1850.624\n", + "Skew: 0.160 Prob(JB): 0.00\n", + "Kurtosis: 3.518 Cond. No. 229.\n", + "==============================================================================\n", + "\n", + "Notes:\n", + "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n", + "\n", + "Summary saved as 'regression_summary.png'\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": "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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Step 1: Drop leakage features and insignificant ones\n", + "features = [\n", + " 'trip_count',\n", + " 'unique_vendors',\n", + " 'avg_bus_count',\n", + " 'num_readings'\n", + "]\n", + "\n", + "X = reg_df[features].copy()\n", + "X = pd.concat([X, pd.get_dummies(reg_df['time_block'], prefix='tb', drop_first=True)], axis=1)\n", + "#X = pd.concat([X, pd.get_dummies(reg_df['region_id'], prefix='reg', drop_first=True)], axis=1)\n", + "X = pd.concat([X, pd.get_dummies(reg_df['congestion_level'], prefix='cong', drop_first=True)], axis=1)\n", + "X = X.astype(float)\n", + "X = sm.add_constant(X)\n", + "\n", + "y = reg_df['avg_speed_mph']\n", + "\n", + "\n", + "model_clean = sm.OLS(y, X).fit(cov_type='HC3')\n", + "print(model_clean.summary())\n", + "\n", + "\n", + "vif = pd.DataFrame({\n", + " 'feature': X.columns,\n", + " 'VIF': [variance_inflation_factor(X.values, i) for i in range(X.shape[1])]\n", + "})\n", + "print(vif.sort_values('VIF', ascending=False).head(15))\n", + "\n", + "#number of observation per region\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "-1ch0Pgt-iT5", + "outputId": "67083fcc-a2ce-4da4-93ff-d119ad3e01e7" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " OLS Regression Results \n", + "==============================================================================\n", + "Dep. Variable: avg_speed_mph R-squared: 0.588\n", + "Model: OLS Adj. R-squared: 0.588\n", + "Method: Least Squares F-statistic: 1.737e+04\n", + "Date: Tue, 28 Apr 2026 Prob (F-statistic): 0.00\n", + "Time: 19:50:27 Log-Likelihood: -2.8499e+05\n", + "No. Observations: 120013 AIC: 5.700e+05\n", + "Df Residuals: 120001 BIC: 5.701e+05\n", + "Df Model: 11 \n", + "Covariance Type: HC3 \n", + "==================================================================================\n", + " coef std err z P>|z| [0.025 0.975]\n", + "----------------------------------------------------------------------------------\n", + "const 32.2790 0.056 573.349 0.000 32.169 32.389\n", + "trip_count -0.0002 5.05e-05 -3.503 0.000 -0.000 -7.8e-05\n", + "unique_vendors 0.2787 0.009 29.481 0.000 0.260 0.297\n", + "avg_bus_count -0.1101 0.000 -231.689 0.000 -0.111 -0.109\n", + "num_readings -0.1633 0.003 -54.972 0.000 -0.169 -0.158\n", + "tb_04:00-07:59 1.4645 0.034 43.237 0.000 1.398 1.531\n", + "tb_08:00-11:59 1.5615 0.039 40.510 0.000 1.486 1.637\n", + "tb_12:00-15:59 0.8663 0.039 22.178 0.000 0.790 0.943\n", + "tb_16:00-19:59 1.2347 0.039 31.589 0.000 1.158 1.311\n", + "tb_20:00-23:59 -0.1432 0.035 -4.082 0.000 -0.212 -0.074\n", + "cong_heavy -13.2506 2.164 -6.124 0.000 -17.491 -9.010\n", + "cong_moderate -4.1376 0.026 -161.674 0.000 -4.188 -4.087\n", + "==============================================================================\n", + "Omnibus: 567.973 Durbin-Watson: 0.645\n", + "Prob(Omnibus): 0.000 Jarque-Bera (JB): 799.117\n", + "Skew: -0.029 Prob(JB): 2.98e-174\n", + "Kurtosis: 3.396 Cond. No. 2.05e+04\n", + "==============================================================================\n", + "\n", + "Notes:\n", + "[1] Standard Errors are heteroscedasticity robust (HC3)\n", + "[2] The condition number is large, 2.05e+04. This might indicate that there are\n", + "strong multicollinearity or other numerical problems.\n", + " feature VIF\n", + "0 const 28.971892\n", + "8 tb_16:00-19:59 3.333898\n", + "7 tb_12:00-15:59 3.116940\n", + "6 tb_08:00-11:59 3.060340\n", + "9 tb_20:00-23:59 2.719122\n", + "5 tb_04:00-07:59 2.429861\n", + "3 avg_bus_count 1.882558\n", + "4 num_readings 1.615600\n", + "11 cong_moderate 1.285190\n", + "2 unique_vendors 1.204288\n", + "1 trip_count 1.192664\n", + "10 cong_heavy 1.000924\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "effect_per_1k = model_clean.params['trip_count'] * 1000\n", + "ci_low = model_clean.conf_int().loc['trip_count', 0] * 1000\n", + "ci_high = model_clean.conf_int().loc['trip_count', 1] * 1000\n", + "print(f\"Effect per +1,000 trips: {effect_per_1k:.4f} mph (95% CI: [{ci_low:.4f}, {ci_high:.4f}])\")" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "LKYXqSPPC4Kw", + "outputId": "2d374fec-c081-488b-f972-7fcfd6dd3c41" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Effect per +1,000 trips: 0.0841 mph (95% CI: [0.0436, 0.1246])\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Build full feature set\n", + "def build_X(df, include_trip_count=True):\n", + " cols = ['unique_vendors', 'avg_bus_count', 'num_readings']\n", + " if include_trip_count:\n", + " cols = ['trip_count'] + cols\n", + " X = df[cols].copy()\n", + " for c in ['time_block', 'region_id', 'congestion_level']:\n", + " X = pd.concat([X, pd.get_dummies(df[c], prefix=c, drop_first=True)], axis=1)\n", + " return X.astype(float)\n", + "\n", + "# Model WITH trip_count\n", + "X_train_full = build_X(train, include_trip_count=True)\n", + "X_test_full = build_X(test, include_trip_count=True).reindex(columns=X_train_full.columns, fill_value=0)\n", + "\n", + "# Model WITHOUT trip_count\n", + "X_train_no = build_X(train, include_trip_count=False)\n", + "X_test_no = build_X(test, include_trip_count=False).reindex(columns=X_train_no.columns, fill_value=0)\n", + "\n", + "y_train, y_test = train['avg_speed_mph'], test['avg_speed_mph']\n", + "\n", + "params = dict(n_estimators=500, max_depth=8, learning_rate=0.05,\n", + " subsample=0.8, colsample_bytree=0.8, random_state=42, n_jobs=-1)\n", + "\n", + "m_full = XGBRegressor(**params).fit(X_train_full, y_train)\n", + "m_no = XGBRegressor(**params).fit(X_train_no, y_train)\n", + "\n", + "p_full = m_full.predict(X_test_full)\n", + "p_no = m_no.predict(X_test_no)\n", + "\n", + "print(f\"{'Model':<25}{'MAE':>10}{'RMSE':>10}{'R²':>10}\")\n", + "print(\"-\" * 55)\n", + "print(f\"{'WITH trip_count':<25}{mean_absolute_error(y_test, p_full):>10.4f}\"\n", + " f\"{np.sqrt(mean_squared_error(y_test, p_full)):>10.4f}{r2_score(y_test, p_full):>10.4f}\")\n", + "print(f\"{'WITHOUT trip_count':<25}{mean_absolute_error(y_test, p_no):>10.4f}\"\n", + " f\"{np.sqrt(mean_squared_error(y_test, p_no)):>10.4f}{r2_score(y_test, p_no):>10.4f}\")\n", + "\n", + "# How much does trip_count actually contribute?\n", + "r2_gain = r2_score(y_test, p_full) - r2_score(y_test, p_no)\n", + "mae_drop = mean_absolute_error(y_test, p_no) - mean_absolute_error(y_test, p_full)\n", + "print(f\"\\n→ Adding trip_count improves R² by {r2_gain:.5f}\")\n", + "print(f\"→ Adding trip_count reduces MAE by {mae_drop:.5f} mph\")" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "A3g5gaIpF-pz", + "outputId": "14ff4cbc-475d-4713-fc81-abc18cc16246" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Model MAE RMSE R²\n", + "-------------------------------------------------------\n", + "WITH trip_count 0.7094 1.0584 0.9286\n", + "WITHOUT trip_count 0.7075 1.0571 0.9288\n", + "\n", + "→ Adding trip_count improves R² by -0.00017\n", + "→ Adding trip_count reduces MAE by -0.00195 mph\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "fig, ax = plt.subplots(figsize=(9, 5))\n", + "PartialDependenceDisplay.from_estimator(\n", + " m_full, X_train_full, features=['trip_count'],\n", + " grid_resolution=50, ax=ax\n", + ")\n", + "ax.set_title('Partial Dependence: trip_count → avg_speed_mph\\n(XGBoost model)')\n", + "ax.set_xlabel('Scooter trip count')\n", + "ax.set_ylabel('Predicted speed (mph)')\n", + "ax.grid(alpha=0.3)\n", + "plt.tight_layout()\n", + "plt.show()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 506 + }, + "id": "VbAbWvGGGoq2", + "outputId": "c9608af4-93fe-4c49-91de-fe758f08280f" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": "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\n" + }, + "metadata": {} + } + ] + } + ] +} \ No newline at end of file diff --git a/final project/Notebooks/Updated_Congestion_Cleaned_Data (1).ipynb b/final project/Notebooks/Updated_Congestion_Cleaned_Data (1).ipynb new file mode 100644 index 0000000..6c48998 --- /dev/null +++ b/final project/Notebooks/Updated_Congestion_Cleaned_Data (1).ipynb @@ -0,0 +1,956 @@ +{ + "nbformat": 4, + "nbformat_minor": 0, + "metadata": { + "colab": { + "provenance": [] + }, + "kernelspec": { + "name": "python3", + "display_name": "Python 3" + }, + "language_info": { + "name": "python" + } + }, + "cells": [ + { + "cell_type": "code", + "source": [ + "from google.colab import drive\n", + "drive.mount('/content/drive')\n", + "drive.mount(\"/content/drive\", force_remount=True)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "J9XhqP7nqsd6", + "outputId": "45f0405d-60b5-4e2b-b6ab-6ab46b8a3a40" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\"/content/drive\", force_remount=True).\n", + "Mounted at /content/drive\n" + ] + } + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "jJ8fShMxzchd" + }, + "outputs": [], + "source": [ + "import pandas as pd\n", + "import warnings\n", + "warnings.filterwarnings('ignore')" + ] + }, + { + "cell_type": "code", + "source": [ + "# ── 1. Load the cleaned dataset ──────────────────────────────\n", + "print(\"Loading cleaned congestion dataset...\")\n", + "\n", + "congestion = pd.read_csv(\n", + " \"/content/drive/My Drive/data 400/data/congestion/congestion_cleaned_2022_2025.csv\",\n", + " low_memory=False\n", + ")\n", + "\n", + "congestion['timestamp'] = pd.to_datetime(congestion['timestamp'], errors='coerce')\n", + "\n", + "print(f\"Loaded shape: {congestion.shape}\")\n", + "print(f\"Date range: {congestion['timestamp'].min()} → {congestion['timestamp'].max()}\")\n", + "display(congestion.head(3))" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 402 + }, + "id": "5fV5g1BDzwSF", + "outputId": "e536b96b-9824-46fa-d0d1-d8cef3340ee9" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Loading cleaned congestion dataset...\n", + "Loaded shape: (4621224, 23)\n", + "Date range: 2022-01-01 00:01:21 → 2025-12-31 23:50:25\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + " timestamp region_id speed_mph region_name \\\n", + "0 2022-02-04 07:52:57 1 22.50 Rogers Park - West Ridge \n", + "1 2022-02-04 07:52:57 2 29.32 Far North West \n", + "2 2022-02-04 07:52:57 3 21.14 North Park-Albany-Linconl Sq \n", + "\n", + " bus_count NUM_READS HOUR DAY_OF_WEEK MONTH \\\n", + "0 36 744 7 6 2 \n", + "1 39 1,018 7 6 2 \n", + "2 78 1,578 7 6 2 \n", + "\n", + " DESCRIPTION ... south_lat north_lat \\\n", + "0 North of Devon. Kedzie to Lake Shore ... 41.997946 42.026444 \n", + "1 North of Montrose. East River to Cicero ... 41.960669 42.019100 \n", + "2 Montrose to Devon. Cicero to Ravenswood ... 41.960669 41.997946 \n", + "\n", + " NW_LOCATION SE_LOCATION year month \\\n", + "0 POINT (-87.709645 42.026444) POINT (-87.654561 41.997946) 2022 2 \n", + "1 POINT (-87.84621 42.0190998) POINT (-87.747456 41.960669) 2022 2 \n", + "2 POINT (-87.747456 41.997946) POINT (-87.67459 41.960669) 2022 2 \n", + "\n", + " day_of_week hour year_month congestion_level \n", + "0 Friday 7 2022-02 free_flow \n", + "1 Friday 7 2022-02 free_flow \n", + "2 Friday 7 2022-02 free_flow \n", + "\n", + "[3 rows x 23 columns]" + ], + "text/html": [ + "\n", + "
\n", + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
timestampregion_idspeed_mphregion_namebus_countNUM_READSHOURDAY_OF_WEEKMONTHDESCRIPTION...south_latnorth_latNW_LOCATIONSE_LOCATIONyearmonthday_of_weekhouryear_monthcongestion_level
02022-02-04 07:52:57122.50Rogers Park - West Ridge36744762North of Devon. Kedzie to Lake Shore...41.99794642.026444POINT (-87.709645 42.026444)POINT (-87.654561 41.997946)20222Friday72022-02free_flow
12022-02-04 07:52:57229.32Far North West391,018762North of Montrose. East River to Cicero...41.96066942.019100POINT (-87.84621 42.0190998)POINT (-87.747456 41.960669)20222Friday72022-02free_flow
22022-02-04 07:52:57321.14North Park-Albany-Linconl Sq781,578762Montrose to Devon. Cicero to Ravenswood...41.96066941.997946POINT (-87.747456 41.997946)POINT (-87.67459 41.960669)20222Friday72022-02free_flow
\n", + "

3 rows × 23 columns

\n", + "
\n", + "
\n", + "\n", + "
\n", + " \n", + "\n", + " \n", + "\n", + " \n", + "
\n", + "\n", + "\n", + "
\n", + "
\n" + ], + "application/vnd.google.colaboratory.intrinsic+json": { + "type": "dataframe" + } + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "# ── 2. Remove impossible speed readings (sensor errors) ───────\n", + "before = len(congestion)\n", + "congestion = congestion[congestion['speed_mph'] <= 60]\n", + "removed = before - len(congestion)\n", + "print(f\"\\nRemoved {removed:,} rows with speed > 60 mph (sensor errors).\")\n", + "print(f\"Remaining: {len(congestion):,} rows\")\n", + "print(f\"Speed range after fix: {congestion['speed_mph'].min():.2f} – {congestion['speed_mph'].max():.2f} mph\")\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "qtX43hqDzzbx", + "outputId": "5dacfb5a-82eb-497c-8cd7-4f40c808969f" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\n", + "Removed 2,393 rows with speed > 60 mph (sensor errors).\n", + "Remaining: 4,618,831 rows\n", + "Speed range after fix: 0.20 – 60.00 mph\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# ── 3. Build date and 4-hour block columns ────────────────────\n", + "# Keep a real datetime date for sorting, plus the display string\n", + "congestion['date_dt'] = congestion['timestamp'].dt.date # actual date for sorting\n", + "congestion['date'] = congestion['timestamp'].dt.strftime('%m/%d/%Y') # display format\n", + "\n", + "block_labels = {\n", + " 0: '00:00-03:59',\n", + " 1: '04:00-07:59',\n", + " 2: '08:00-11:59',\n", + " 3: '12:00-15:59',\n", + " 4: '16:00-19:59',\n", + " 5: '20:00-23:59',\n", + "}\n", + "congestion['time_block'] = (congestion['timestamp'].dt.hour // 4).map(block_labels)\n", + "\n", + "print(\"\\nTime block distribution:\")\n", + "print(congestion['time_block'].value_counts().sort_index())\n", + "\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "Sj9FAXhYz4g8", + "outputId": "564dcea8-e66a-4479-b717-c9bcda9d2fdb" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\n", + "Time block distribution:\n", + "time_block\n", + "00:00-03:59 529619\n", + "04:00-07:59 779772\n", + "08:00-11:59 831295\n", + "12:00-15:59 833003\n", + "16:00-19:59 828516\n", + "20:00-23:59 816626\n", + "Name: count, dtype: int64\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# ── 4. Convert NUM_READS to numeric ──────────────────────────\n", + "congestion['NUM_READS'] = pd.to_numeric(\n", + " congestion['NUM_READS'].astype(str).str.replace(',', ''), errors='coerce'\n", + ")\n" + ], + "metadata": { + "id": "fkJh_i_zz7PW" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "# ── 5. Determine congestion_level per block ───────────────────\n", + "def most_common(series):\n", + " return series.mode().iloc[0] if len(series) > 0 else None\n" + ], + "metadata": { + "id": "gggj6bu-0D2t" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "# ── 6. Aggregate to 4-hour blocks ────────────────────────────\n", + "print(\"\\nAggregating to 4-hour blocks (this may take a moment)...\")\n", + "\n", + "agg_df = (\n", + " congestion\n", + " .groupby(['date_dt', 'date', 'time_block', 'region_id', 'region_name', 'DESCRIPTION'])\n", + " .agg(\n", + " avg_speed_mph = ('speed_mph', 'mean'),\n", + " avg_bus_count = ('bus_count', 'mean'),\n", + " avg_num_reads = ('NUM_READS', 'mean'),\n", + " congestion_level = ('congestion_level', most_common),\n", + " num_readings = ('speed_mph', 'count'),\n", + " )\n", + " .reset_index()\n", + ")\n", + "\n", + "# Round averaged columns\n", + "agg_df['avg_speed_mph'] = agg_df['avg_speed_mph'].round(2)\n", + "agg_df['avg_bus_count'] = agg_df['avg_bus_count'].round(1)\n", + "agg_df['avg_num_reads'] = agg_df['avg_num_reads'].round(1)\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "bMwB1N4u0HnZ", + "outputId": "8574d6ee-6178-4807-cbd6-b7b631128d64" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\n", + "Aggregating to 4-hour blocks (this may take a moment)...\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# ── 7. Sort by REAL date (not string) then region then block ──\n", + "agg_df = agg_df.sort_values(\n", + " ['date_dt', 'region_id', 'time_block']\n", + ").reset_index(drop=True)\n", + "\n", + "# Drop the helper sort column — keep only the display date string\n", + "agg_df.drop(columns=['date_dt'], inplace=True)\n", + "\n", + "# Rename DESCRIPTION for consistency\n", + "agg_df.rename(columns={'DESCRIPTION': 'description'}, inplace=True)\n", + "\n", + "# Reorder columns cleanly\n", + "agg_df = agg_df[[\n", + " 'date',\n", + " 'time_block',\n", + " 'region_id',\n", + " 'region_name',\n", + " 'avg_speed_mph',\n", + " 'avg_bus_count',\n", + " 'avg_num_reads',\n", + " 'congestion_level',\n", + " 'description',\n", + " 'num_readings',\n", + "]]\n", + "\n", + "print(f\"\\nAggregated shape: {agg_df.shape}\")\n", + "print(f\"(Expected ~29 regions × 6 blocks × ~1,460 days = ~254,040 rows)\")\n", + "display(agg_df.head(12))\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000 + }, + "id": "SIftV06o0KWJ", + "outputId": "3c807d09-9f56-4767-f4b7-86f033ecceb6" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\n", + "Aggregated shape: (214410, 10)\n", + "(Expected ~29 regions × 6 blocks × ~1,460 days = ~254,040 rows)\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + " date time_block region_id region_name \\\n", + "0 01/01/2022 00:00-03:59 1 Rogers Park - West Ridge \n", + "1 01/01/2022 04:00-07:59 1 Rogers Park - West Ridge \n", + "2 01/01/2022 08:00-11:59 1 Rogers Park - West Ridge \n", + "3 01/01/2022 12:00-15:59 1 Rogers Park - West Ridge \n", + "4 01/01/2022 16:00-19:59 1 Rogers Park - West Ridge \n", + "5 01/01/2022 20:00-23:59 1 Rogers Park - West Ridge \n", + "6 01/01/2022 00:00-03:59 2 Far North West \n", + "7 01/01/2022 04:00-07:59 2 Far North West \n", + "8 01/01/2022 08:00-11:59 2 Far North West \n", + "9 01/01/2022 12:00-15:59 2 Far North West \n", + "10 01/01/2022 16:00-19:59 2 Far North West \n", + "11 01/01/2022 20:00-23:59 2 Far North West \n", + "\n", + " avg_speed_mph avg_bus_count avg_num_reads congestion_level \\\n", + "0 27.73 5.8 100.1 free_flow \n", + "1 28.46 10.1 224.3 free_flow \n", + "2 25.58 17.5 363.7 free_flow \n", + "3 23.38 20.1 429.9 free_flow \n", + "4 20.40 19.6 436.5 free_flow \n", + "5 22.44 13.3 284.6 free_flow \n", + "6 28.98 6.1 68.9 free_flow \n", + "7 31.26 16.3 370.2 free_flow \n", + "8 31.27 21.8 508.6 free_flow \n", + "9 28.92 22.2 504.4 free_flow \n", + "10 25.66 24.1 512.8 free_flow \n", + "11 25.25 16.3 330.1 free_flow \n", + "\n", + " description num_readings \n", + "0 North of Devon. Kedzie to Lake Shore 10 \n", + "1 North of Devon. Kedzie to Lake Shore 21 \n", + "2 North of Devon. Kedzie to Lake Shore 23 \n", + "3 North of Devon. Kedzie to Lake Shore 17 \n", + "4 North of Devon. Kedzie to Lake Shore 23 \n", + "5 North of Devon. Kedzie to Lake Shore 21 \n", + "6 North of Montrose. East River to Cicero 10 \n", + "7 North of Montrose. East River to Cicero 22 \n", + "8 North of Montrose. East River to Cicero 23 \n", + "9 North of Montrose. East River to Cicero 17 \n", + "10 North of Montrose. East River to Cicero 23 \n", + "11 North of Montrose. East River to Cicero 21 " + ], + "text/html": [ + "\n", + "
\n", + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
datetime_blockregion_idregion_nameavg_speed_mphavg_bus_countavg_num_readscongestion_leveldescriptionnum_readings
001/01/202200:00-03:591Rogers Park - West Ridge27.735.8100.1free_flowNorth of Devon. Kedzie to Lake Shore10
101/01/202204:00-07:591Rogers Park - West Ridge28.4610.1224.3free_flowNorth of Devon. Kedzie to Lake Shore21
201/01/202208:00-11:591Rogers Park - West Ridge25.5817.5363.7free_flowNorth of Devon. Kedzie to Lake Shore23
301/01/202212:00-15:591Rogers Park - West Ridge23.3820.1429.9free_flowNorth of Devon. Kedzie to Lake Shore17
401/01/202216:00-19:591Rogers Park - West Ridge20.4019.6436.5free_flowNorth of Devon. Kedzie to Lake Shore23
501/01/202220:00-23:591Rogers Park - West Ridge22.4413.3284.6free_flowNorth of Devon. Kedzie to Lake Shore21
601/01/202200:00-03:592Far North West28.986.168.9free_flowNorth of Montrose. East River to Cicero10
701/01/202204:00-07:592Far North West31.2616.3370.2free_flowNorth of Montrose. East River to Cicero22
801/01/202208:00-11:592Far North West31.2721.8508.6free_flowNorth of Montrose. East River to Cicero23
901/01/202212:00-15:592Far North West28.9222.2504.4free_flowNorth of Montrose. East River to Cicero17
1001/01/202216:00-19:592Far North West25.6624.1512.8free_flowNorth of Montrose. East River to Cicero23
1101/01/202220:00-23:592Far North West25.2516.3330.1free_flowNorth of Montrose. East River to Cicero21
\n", + "
\n", + "
\n", + "\n", + "
\n", + " \n", + "\n", + " \n", + "\n", + " \n", + "
\n", + "\n", + "\n", + "
\n", + "
\n" + ], + "application/vnd.google.colaboratory.intrinsic+json": { + "type": "dataframe", + "summary": "{\n \"name\": \"display(agg_df\",\n \"rows\": 12,\n \"fields\": [\n {\n \"column\": \"date\",\n \"properties\": {\n \"dtype\": \"object\",\n \"num_unique_values\": 1,\n \"samples\": [\n \"01/01/2022\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"time_block\",\n \"properties\": {\n \"dtype\": \"object\",\n \"num_unique_values\": 6,\n \"samples\": [\n \"00:00-03:59\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"region_id\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0,\n \"min\": 1,\n \"max\": 2,\n \"num_unique_values\": 2,\n \"samples\": [\n 2\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"region_name\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 2,\n \"samples\": [\n \"Far North West\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"avg_speed_mph\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 3.426725068774806,\n \"min\": 20.4,\n \"max\": 31.27,\n \"num_unique_values\": 12,\n \"samples\": [\n 25.66\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"avg_bus_count\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 6.134255530143077,\n \"min\": 5.8,\n \"max\": 24.1,\n \"num_unique_values\": 11,\n \"samples\": [\n 13.3\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"avg_num_reads\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 151.21872454003554,\n \"min\": 68.9,\n \"max\": 512.8,\n \"num_unique_values\": 12,\n \"samples\": [\n 512.8\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"congestion_level\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 1,\n \"samples\": [\n \"free_flow\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"description\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 2,\n \"samples\": [\n \"North of Montrose. East River to Cicero\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"num_readings\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 4,\n \"min\": 10,\n \"max\": 23,\n \"num_unique_values\": 5,\n \"samples\": [\n 21\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}" + } + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "# ── 8. Sanity checks ──────────────────────────────────────────\n", + "print(\"\\n── Congestion level distribution ──\")\n", + "print(agg_df['congestion_level'].value_counts())\n", + "\n", + "print(\"\\n── Speed range (should be 0–60 mph) ──\")\n", + "print(f\"Min: {agg_df['avg_speed_mph'].min()} mph | Max: {agg_df['avg_speed_mph'].max()} mph\")\n", + "\n", + "print(\"\\n── Rows per time block ──\")\n", + "print(agg_df['time_block'].value_counts().sort_index())\n", + "\n", + "print(\"\\n── Date sort check (first 3 and last 3 dates) ──\")\n", + "print(agg_df['date'].iloc[:3].tolist())\n", + "print(agg_df['date'].iloc[-3:].tolist())\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "XcquKQDT3Q7Z", + "outputId": "94387d07-17f4-4558-8d4d-4d52065d4b0c" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\n", + "── Congestion level distribution ──\n", + "congestion_level\n", + "free_flow 201876\n", + "moderate 12515\n", + "heavy 19\n", + "Name: count, dtype: int64\n", + "\n", + "── Speed range (should be 0–60 mph) ──\n", + "Min: 3.62 mph | Max: 55.06 mph\n", + "\n", + "── Rows per time block ──\n", + "time_block\n", + "00:00-03:59 34502\n", + "04:00-07:59 35856\n", + "08:00-11:59 36010\n", + "12:00-15:59 36101\n", + "16:00-19:59 35993\n", + "20:00-23:59 35948\n", + "Name: count, dtype: int64\n", + "\n", + "── Date sort check (first 3 and last 3 dates) ──\n", + "['01/01/2022', '01/01/2022', '01/01/2022']\n", + "['12/31/2025', '12/31/2025', '12/31/2025']\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# ── 9. Export ─────────────────────────────────────────────────\n", + "output_path = \"/content/drive/My Drive/data 400/data/congestion/updated_congestion_cleaned.csv\"\n", + "agg_df.to_csv(output_path, index=False)\n", + "print(f\"\\nSaved to: {output_path}\")\n", + "print(f\"Rows: {len(agg_df):,} | Columns: {agg_df.shape[1]}\")" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "K748fF1H3T9p", + "outputId": "e864c370-e589-465f-e824-f87f6d4d1b6b" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\n", + "Saved to: /content/drive/My Drive/data 400/data/congestion/updated_congestion_cleaned.csv\n", + "Rows: 214,410 | Columns: 10\n" + ] + } + ] + } + ] +} \ No newline at end of file diff --git a/final project/README E-Scooters & Traffic in Chicago.docx b/final project/README E-Scooters & Traffic in Chicago.docx new file mode 100644 index 0000000..59847fb Binary files /dev/null and b/final project/README E-Scooters & Traffic in Chicago.docx differ diff --git a/presentations/Mini project/Data/quarter_1.zip b/presentations/Mini project/Data/quarter_1.zip new file mode 100644 index 0000000..15cb0ec Binary files /dev/null and b/presentations/Mini project/Data/quarter_1.zip differ diff --git a/presentations/Mini project/mini_project.ipynb b/presentations/Mini project/mini_project.ipynb new file mode 100644 index 0000000..4fb0f99 --- /dev/null +++ b/presentations/Mini project/mini_project.ipynb @@ -0,0 +1,2113 @@ +{ + "nbformat": 4, + "nbformat_minor": 0, + "metadata": { + "colab": { + "provenance": [], + "gpuType": "V5E1", + "machine_shape": "hm" + }, + "kernelspec": { + "name": "python3", + "display_name": "Python 3" + }, + "language_info": { + "name": "python" + }, + "accelerator": "TPU" + }, + "cells": [ + { + "cell_type": "markdown", + "source": [ + "# The Impact of Marketing carriers on Flight Delay Patterns\n", + "\n", + "# Name: Robin Nguyen\n", + "\n", + "**This study analyzes the impact of the collabaration of airlines in the U.S. on flight delay patterns. By leveraging time series analysis, the research aims to uncover temporal and spatial trends, identify critical factors contributing to delays and evaluate how specific geographic divisions influence these patterns.**\n", + "\n", + "### Import libraries" + ], + "metadata": { + "id": "ClUEbeaFiBKm" + } + }, + { + "cell_type": "code", + "source": [ + "!pip install statsmodels\n", + "# Core Libraries\n", + "import pandas as pd # Data manipulation\n", + "import numpy as np # Numerical computations\n", + "import os\n", + "import glob\n", + "import re\n", + "import warnings\n", + "\n", + "# Visualization Libraries\n", + "import matplotlib.pyplot as plt # Plotting\n", + "import seaborn as sns # Advanced visualization\n", + "from matplotlib.ticker import NullFormatter, FuncFormatter # Formatting\n", + "\n", + "# Machine Learning Libraries\n", + "from sklearn.model_selection import train_test_split\n", + "from sklearn.linear_model import LinearRegression\n", + "from sklearn.metrics import mean_squared_error, r2_score, mean_absolute_error\n", + "import statsmodels.api as sm\n", + "from statsmodels.tsa.statespace.sarimax import SARIMAX\n", + "# Ignore warnings\n", + "warnings.filterwarnings(\"ignore\")" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "Kler5VTwu0RX", + "outputId": "01d29f6b-070d-426e-df7d-45177d7b5aae" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Collecting statsmodels\n", + " Downloading statsmodels-0.14.6-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl.metadata (9.5 kB)\n", + "Requirement already satisfied: numpy<3,>=1.22.3 in /usr/local/lib/python3.12/dist-packages (from statsmodels) (2.0.2)\n", + "Requirement already satisfied: scipy!=1.9.2,>=1.8 in /usr/local/lib/python3.12/dist-packages (from statsmodels) (1.16.3)\n", + "Requirement already satisfied: pandas!=2.1.0,>=1.4 in /usr/local/lib/python3.12/dist-packages (from statsmodels) (2.2.2)\n", + "Collecting patsy>=0.5.6 (from statsmodels)\n", + " Downloading patsy-1.0.2-py2.py3-none-any.whl.metadata (3.6 kB)\n", + "Requirement already satisfied: packaging>=21.3 in /usr/local/lib/python3.12/dist-packages (from statsmodels) (26.0)\n", + "Requirement already satisfied: python-dateutil>=2.8.2 in /usr/local/lib/python3.12/dist-packages (from pandas!=2.1.0,>=1.4->statsmodels) (2.9.0.post0)\n", + "Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.12/dist-packages (from pandas!=2.1.0,>=1.4->statsmodels) (2025.2)\n", + "Requirement already satisfied: tzdata>=2022.7 in /usr/local/lib/python3.12/dist-packages (from pandas!=2.1.0,>=1.4->statsmodels) (2025.3)\n", + "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.12/dist-packages (from python-dateutil>=2.8.2->pandas!=2.1.0,>=1.4->statsmodels) (1.17.0)\n", + "Downloading statsmodels-0.14.6-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl (10.3 MB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m10.3/10.3 MB\u001b[0m \u001b[31m118.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hDownloading patsy-1.0.2-py2.py3-none-any.whl (233 kB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m233.3/233.3 kB\u001b[0m \u001b[31m17.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hInstalling collected packages: patsy, statsmodels\n", + "Successfully installed patsy-1.0.2 statsmodels-0.14.6\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "from google.colab import drive\n", + "drive.mount('/content/drive')" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "thHLa41evBfR", + "outputId": "bfa613e0-1a09-4a42-b749-0caec00450ce" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Mounted at /content/drive\n" + ] + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "## 1. DATA PROCESSING" + ], + "metadata": { + "id": "SaZ6hyM4vSio" + } + }, + { + "cell_type": "markdown", + "source": [ + "## A. Preping Data\n" + ], + "metadata": { + "id": "X8qhZKiTvakk" + } + }, + { + "cell_type": "code", + "source": [ + "# List CSV files\n", + "csv_files = [\n", + " \"/content/drive/My Drive/plane_collab_project/data/uncombined_data/T_ONTIME_MARKETING_1.csv\",\n", + " \"/content/drive/My Drive/plane_collab_project/data/uncombined_data/T_ONTIME_MARKETING_2.csv\",\n", + " \"/content/drive/My Drive/plane_collab_project/data/uncombined_data/T_ONTIME_MARKETING_3.csv\"\n", + "]\n", + "\n", + "# Output file path\n", + "output_file =\"/content/drive/My Drive/plane_collab_project/data/combined_data/quarter_1.csv\"\n", + "\n", + "# Remove the output file if it already exists\n", + "if os.path.exists(output_file):\n", + " os.remove(output_file)\n", + "\n", + "# Define chunk size\n", + "chunk_size = 100_000\n", + "\n", + "# Process files in chunks\n", + "for file in csv_files:\n", + " print(f\"Processing file: {file}\")\n", + " for chunk in pd.read_csv(file, chunksize=chunk_size, low_memory=False):\n", + " # Append each chunk to the output file\n", + " chunk.to_csv(output_file, mode='a', header=not os.path.exists(output_file), index=False)\n", + "\n", + "print(f\"All files combined and saved to {output_file}\")" + ], + "metadata": { + "id": "EhvfF4F6vbia", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "5dc639f2-efa1-4240-c77b-58113f53c522" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Processing file: /content/drive/My Drive/plane_collab_project/data/uncombined_data/T_ONTIME_MARKETING_1.csv\n", + "Processing file: /content/drive/My Drive/plane_collab_project/data/uncombined_data/T_ONTIME_MARKETING_2.csv\n", + "Processing file: /content/drive/My Drive/plane_collab_project/data/uncombined_data/T_ONTIME_MARKETING_3.csv\n", + "All files combined and saved to /content/drive/My Drive/plane_collab_project/data/combined_data/quarter_1.csv\n" + ] + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "## 2. Clean Data & Explainatory Data Analysis (EDA)\n", + "\n", + "### A. Testing data" + ], + "metadata": { + "id": "3EVfbQtU6rwf" + } + }, + { + "cell_type": "code", + "source": [ + "# Import df\n", + "file_path = \"/content/drive/My Drive/plane_collab_project/data/combined_data/quarter_1.csv\"\n", + "test_df= pd.read_csv(file_path)" + ], + "metadata": { + "id": "N7JZKw8R6jFi" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "# Create a copy\n", + "testing_df = test_df.copy()" + ], + "metadata": { + "id": "EEocnMew61Kt" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "# View columns\n", + "testing_df.columns" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "2H4a3JL164T3", + "outputId": "16d2c9a5-a8c4-48e3-819c-b4bd00df43e2" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "Index(['YEAR', 'MONTH', 'DAY_OF_MONTH', 'DAY_OF_WEEK', 'FL_DATE',\n", + " 'MKT_UNIQUE_CARRIER', 'BRANDED_CODE_SHARE', 'MKT_CARRIER_AIRLINE_ID',\n", + " 'MKT_CARRIER', 'MKT_CARRIER_FL_NUM', 'SCH_OP_UNIQUE_CARRIER',\n", + " 'SCH_OP_CARRIER_AIRLINE_ID', 'OP_UNIQUE_CARRIER',\n", + " 'OP_CARRIER_AIRLINE_ID', 'ORIGIN_AIRPORT_ID', 'ORIGIN',\n", + " 'ORIGIN_STATE_FIPS', 'DEST_AIRPORT_ID', 'DEST', 'DEST_STATE_FIPS',\n", + " 'DEP_DELAY', 'DEP_DELAY_NEW', 'DEP_DEL15', 'ARR_DELAY', 'ARR_DELAY_NEW',\n", + " 'ARR_DEL15', 'CRS_ELAPSED_TIME', 'ACTUAL_ELAPSED_TIME', 'AIR_TIME',\n", + " 'FLIGHTS', 'DISTANCE', 'DISTANCE_GROUP', 'CARRIER_DELAY',\n", + " 'WEATHER_DELAY', 'NAS_DELAY', 'SECURITY_DELAY', 'LATE_AIRCRAFT_DELAY'],\n", + " dtype='object')" + ] + }, + "metadata": {}, + "execution_count": 5 + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Drop unnesscary columns\n", + "testing_df = testing_df.drop(['FL_DATE'], axis=1)" + ], + "metadata": { + "id": "tzumiyLG68zM" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "# Fill N/A rows\n", + "columns_to_fill = ['CARRIER_DELAY', 'WEATHER_DELAY', 'NAS_DELAY', 'SECURITY_DELAY', 'LATE_AIRCRAFT_DELAY']\n", + "testing_df[columns_to_fill] = testing_df[columns_to_fill].fillna(0)" + ], + "metadata": { + "id": "Bn_6HyYF6_qr" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "# View df\n", + "testing_df.head(5)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 256 + }, + "id": "VHfrIIt675_J", + "outputId": "61c09a67-c531-47c0-9af7-72f5217af22d" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + " YEAR MONTH DAY_OF_MONTH DAY_OF_WEEK MKT_UNIQUE_CARRIER \\\n", + "0 2025 1 1 3 AA \n", + "1 2025 1 1 3 AA \n", + "2 2025 1 1 3 AA \n", + "3 2025 1 1 3 AA \n", + "4 2025 1 1 3 AA \n", + "\n", + " BRANDED_CODE_SHARE MKT_CARRIER_AIRLINE_ID MKT_CARRIER MKT_CARRIER_FL_NUM \\\n", + "0 AA 19805 AA 1 \n", + "1 AA 19805 AA 10 \n", + "2 AA 19805 AA 1002 \n", + "3 AA 19805 AA 1004 \n", + "4 AA 19805 AA 1005 \n", + "\n", + " SCH_OP_UNIQUE_CARRIER ... ACTUAL_ELAPSED_TIME AIR_TIME FLIGHTS DISTANCE \\\n", + "0 NaN ... 377.0 345.0 1.0 2475.0 \n", + "1 NaN ... 290.0 274.0 1.0 2475.0 \n", + "2 NaN ... 125.0 91.0 1.0 708.0 \n", + "3 NaN ... 331.0 306.0 1.0 2176.0 \n", + "4 NaN ... 286.0 212.0 1.0 1440.0 \n", + "\n", + " DISTANCE_GROUP CARRIER_DELAY WEATHER_DELAY NAS_DELAY SECURITY_DELAY \\\n", + "0 10 0.0 0.0 0.0 0.0 \n", + "1 10 0.0 0.0 0.0 0.0 \n", + "2 3 20.0 0.0 0.0 0.0 \n", + "3 9 0.0 0.0 0.0 0.0 \n", + "4 6 0.0 0.0 44.0 0.0 \n", + "\n", + " LATE_AIRCRAFT_DELAY \n", + "0 0.0 \n", + "1 0.0 \n", + "2 0.0 \n", + "3 0.0 \n", + "4 0.0 \n", + "\n", + "[5 rows x 36 columns]" + ], + "text/html": [ + "\n", + "
\n", + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
YEARMONTHDAY_OF_MONTHDAY_OF_WEEKMKT_UNIQUE_CARRIERBRANDED_CODE_SHAREMKT_CARRIER_AIRLINE_IDMKT_CARRIERMKT_CARRIER_FL_NUMSCH_OP_UNIQUE_CARRIER...ACTUAL_ELAPSED_TIMEAIR_TIMEFLIGHTSDISTANCEDISTANCE_GROUPCARRIER_DELAYWEATHER_DELAYNAS_DELAYSECURITY_DELAYLATE_AIRCRAFT_DELAY
02025113AAAA19805AA1NaN...377.0345.01.02475.0100.00.00.00.00.0
12025113AAAA19805AA10NaN...290.0274.01.02475.0100.00.00.00.00.0
22025113AAAA19805AA1002NaN...125.091.01.0708.0320.00.00.00.00.0
32025113AAAA19805AA1004NaN...331.0306.01.02176.090.00.00.00.00.0
42025113AAAA19805AA1005NaN...286.0212.01.01440.060.00.044.00.00.0
\n", + "

5 rows × 36 columns

\n", + "
\n", + "
\n", + "\n", + "
\n", + " \n", + "\n", + " \n", + "\n", + " \n", + "
\n", + "\n", + "\n", + "
\n", + "
\n" + ], + "application/vnd.google.colaboratory.intrinsic+json": { + "type": "dataframe", + "variable_name": "testing_df" + } + }, + "metadata": {}, + "execution_count": 8 + } + ] + }, + { + "cell_type": "code", + "source": [ + "# View df\n", + "testing_df.tail(5)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 256 + }, + "id": "C-aLmZGd8GIj", + "outputId": "b014fd44-0db9-44a7-c0b7-788d1a4bf02d" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + " YEAR MONTH DAY_OF_MONTH DAY_OF_WEEK MKT_UNIQUE_CARRIER \\\n", + "1823517 2025 3 31 1 WN \n", + "1823518 2025 3 31 1 WN \n", + "1823519 2025 3 31 1 WN \n", + "1823520 2025 3 31 1 WN \n", + "1823521 2025 3 31 1 WN \n", + "\n", + " BRANDED_CODE_SHARE MKT_CARRIER_AIRLINE_ID MKT_CARRIER \\\n", + "1823517 WN 19393 WN \n", + "1823518 WN 19393 WN \n", + "1823519 WN 19393 WN \n", + "1823520 WN 19393 WN \n", + "1823521 WN 19393 WN \n", + "\n", + " MKT_CARRIER_FL_NUM SCH_OP_UNIQUE_CARRIER ... ACTUAL_ELAPSED_TIME \\\n", + "1823517 995 NaN ... 104.0 \n", + "1823518 996 NaN ... 89.0 \n", + "1823519 997 NaN ... 70.0 \n", + "1823520 998 NaN ... 182.0 \n", + "1823521 999 NaN ... 245.0 \n", + "\n", + " AIR_TIME FLIGHTS DISTANCE DISTANCE_GROUP CARRIER_DELAY \\\n", + "1823517 80.0 1.0 601.0 3 0.0 \n", + "1823518 74.0 1.0 547.0 3 0.0 \n", + "1823519 60.0 1.0 494.0 2 0.0 \n", + "1823520 169.0 1.0 1481.0 6 0.0 \n", + "1823521 225.0 1.0 1491.0 6 0.0 \n", + "\n", + " WEATHER_DELAY NAS_DELAY SECURITY_DELAY LATE_AIRCRAFT_DELAY \n", + "1823517 0.0 0.0 0.0 0.0 \n", + "1823518 0.0 0.0 0.0 0.0 \n", + "1823519 0.0 0.0 0.0 0.0 \n", + "1823520 0.0 0.0 0.0 0.0 \n", + "1823521 0.0 0.0 0.0 0.0 \n", + "\n", + "[5 rows x 36 columns]" + ], + "text/html": [ + "\n", + "
\n", + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
YEARMONTHDAY_OF_MONTHDAY_OF_WEEKMKT_UNIQUE_CARRIERBRANDED_CODE_SHAREMKT_CARRIER_AIRLINE_IDMKT_CARRIERMKT_CARRIER_FL_NUMSCH_OP_UNIQUE_CARRIER...ACTUAL_ELAPSED_TIMEAIR_TIMEFLIGHTSDISTANCEDISTANCE_GROUPCARRIER_DELAYWEATHER_DELAYNAS_DELAYSECURITY_DELAYLATE_AIRCRAFT_DELAY
182351720253311WNWN19393WN995NaN...104.080.01.0601.030.00.00.00.00.0
182351820253311WNWN19393WN996NaN...89.074.01.0547.030.00.00.00.00.0
182351920253311WNWN19393WN997NaN...70.060.01.0494.020.00.00.00.00.0
182352020253311WNWN19393WN998NaN...182.0169.01.01481.060.00.00.00.00.0
182352120253311WNWN19393WN999NaN...245.0225.01.01491.060.00.00.00.00.0
\n", + "

5 rows × 36 columns

\n", + "
\n", + "
\n", + "\n", + "
\n", + " \n", + "\n", + " \n", + "\n", + " \n", + "
\n", + "\n", + "\n", + "
\n", + "
\n" + ], + "application/vnd.google.colaboratory.intrinsic+json": { + "type": "dataframe" + } + }, + "metadata": {}, + "execution_count": 9 + } + ] + }, + { + "cell_type": "code", + "source": [ + "# View shape of df\n", + "def check_df(df: object, head: object = 5) -> object:\n", + " print(\"\\nShape\")\n", + " print(df.shape)\n", + " print(\"\\nTypes\")\n", + " print(df.dtypes)\n", + " print(\"\\nNANs\")\n", + " print(df.isnull().sum())\n", + " print(\"\\nInfo\")\n", + " print(df.info())\n", + "\n", + "# Check shape, datatypes, and na of df\n", + "check_df(testing_df)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "F4TbNndT7kNl", + "outputId": "ef10caa2-59ac-487f-ff42-09c8531e33cd" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\n", + "Shape\n", + "(1823522, 36)\n", + "\n", + "Types\n", + "YEAR int64\n", + "MONTH int64\n", + "DAY_OF_MONTH int64\n", + "DAY_OF_WEEK int64\n", + "MKT_UNIQUE_CARRIER object\n", + "BRANDED_CODE_SHARE object\n", + "MKT_CARRIER_AIRLINE_ID int64\n", + "MKT_CARRIER object\n", + "MKT_CARRIER_FL_NUM int64\n", + "SCH_OP_UNIQUE_CARRIER object\n", + "SCH_OP_CARRIER_AIRLINE_ID float64\n", + "OP_UNIQUE_CARRIER object\n", + "OP_CARRIER_AIRLINE_ID int64\n", + "ORIGIN_AIRPORT_ID int64\n", + "ORIGIN object\n", + "ORIGIN_STATE_FIPS int64\n", + "DEST_AIRPORT_ID int64\n", + "DEST object\n", + "DEST_STATE_FIPS int64\n", + "DEP_DELAY float64\n", + "DEP_DELAY_NEW float64\n", + "DEP_DEL15 float64\n", + "ARR_DELAY float64\n", + "ARR_DELAY_NEW float64\n", + "ARR_DEL15 float64\n", + "CRS_ELAPSED_TIME float64\n", + "ACTUAL_ELAPSED_TIME float64\n", + "AIR_TIME float64\n", + "FLIGHTS float64\n", + "DISTANCE float64\n", + "DISTANCE_GROUP int64\n", + "CARRIER_DELAY float64\n", + "WEATHER_DELAY float64\n", + "NAS_DELAY float64\n", + "SECURITY_DELAY float64\n", + "LATE_AIRCRAFT_DELAY float64\n", + "dtype: object\n", + "\n", + "NANs\n", + "YEAR 0\n", + "MONTH 0\n", + "DAY_OF_MONTH 0\n", + "DAY_OF_WEEK 0\n", + "MKT_UNIQUE_CARRIER 0\n", + "BRANDED_CODE_SHARE 0\n", + "MKT_CARRIER_AIRLINE_ID 0\n", + "MKT_CARRIER 0\n", + "MKT_CARRIER_FL_NUM 0\n", + "SCH_OP_UNIQUE_CARRIER 1823377\n", + "SCH_OP_CARRIER_AIRLINE_ID 1823377\n", + "OP_UNIQUE_CARRIER 0\n", + "OP_CARRIER_AIRLINE_ID 0\n", + "ORIGIN_AIRPORT_ID 0\n", + "ORIGIN 0\n", + "ORIGIN_STATE_FIPS 0\n", + "DEST_AIRPORT_ID 0\n", + "DEST 0\n", + "DEST_STATE_FIPS 0\n", + "DEP_DELAY 33744\n", + "DEP_DELAY_NEW 33744\n", + "DEP_DEL15 33744\n", + "ARR_DELAY 39125\n", + "ARR_DELAY_NEW 39125\n", + "ARR_DEL15 39125\n", + "CRS_ELAPSED_TIME 0\n", + "ACTUAL_ELAPSED_TIME 39125\n", + "AIR_TIME 39125\n", + "FLIGHTS 0\n", + "DISTANCE 0\n", + "DISTANCE_GROUP 0\n", + "CARRIER_DELAY 0\n", + "WEATHER_DELAY 0\n", + "NAS_DELAY 0\n", + "SECURITY_DELAY 0\n", + "LATE_AIRCRAFT_DELAY 0\n", + "dtype: int64\n", + "\n", + "Info\n", + "\n", + "RangeIndex: 1823522 entries, 0 to 1823521\n", + "Data columns (total 36 columns):\n", + " # Column Dtype \n", + "--- ------ ----- \n", + " 0 YEAR int64 \n", + " 1 MONTH int64 \n", + " 2 DAY_OF_MONTH int64 \n", + " 3 DAY_OF_WEEK int64 \n", + " 4 MKT_UNIQUE_CARRIER object \n", + " 5 BRANDED_CODE_SHARE object \n", + " 6 MKT_CARRIER_AIRLINE_ID int64 \n", + " 7 MKT_CARRIER object \n", + " 8 MKT_CARRIER_FL_NUM int64 \n", + " 9 SCH_OP_UNIQUE_CARRIER object \n", + " 10 SCH_OP_CARRIER_AIRLINE_ID float64\n", + " 11 OP_UNIQUE_CARRIER object \n", + " 12 OP_CARRIER_AIRLINE_ID int64 \n", + " 13 ORIGIN_AIRPORT_ID int64 \n", + " 14 ORIGIN object \n", + " 15 ORIGIN_STATE_FIPS int64 \n", + " 16 DEST_AIRPORT_ID int64 \n", + " 17 DEST object \n", + " 18 DEST_STATE_FIPS int64 \n", + " 19 DEP_DELAY float64\n", + " 20 DEP_DELAY_NEW float64\n", + " 21 DEP_DEL15 float64\n", + " 22 ARR_DELAY float64\n", + " 23 ARR_DELAY_NEW float64\n", + " 24 ARR_DEL15 float64\n", + " 25 CRS_ELAPSED_TIME float64\n", + " 26 ACTUAL_ELAPSED_TIME float64\n", + " 27 AIR_TIME float64\n", + " 28 FLIGHTS float64\n", + " 29 DISTANCE float64\n", + " 30 DISTANCE_GROUP int64 \n", + " 31 CARRIER_DELAY float64\n", + " 32 WEATHER_DELAY float64\n", + " 33 NAS_DELAY float64\n", + " 34 SECURITY_DELAY float64\n", + " 35 LATE_AIRCRAFT_DELAY float64\n", + "dtypes: float64(17), int64(12), object(7)\n", + "memory usage: 500.8+ MB\n", + "None\n" + ] + } + ] + }, + { + "cell_type": "code", + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "06a8dc7e", + "outputId": "1dd38c4a-c66d-4849-fc62-c5862babdc8a" + }, + "source": [ + "# Filter for rows where BRANDED_CODE_SHARE ends with '_CODESHARE'\n", + "codeshare_flights = testing_df[testing_df['BRANDED_CODE_SHARE'].str.endswith('_CODESHARE')]\n", + "\n", + "# Count the occurrences of each codeshare brand\n", + "codeshare_counts = codeshare_flights['BRANDED_CODE_SHARE'].value_counts()\n", + "\n", + "# Display the counts\n", + "print(\"Number of flights for each Codeshare Brand:\")\n", + "print(codeshare_counts)\n", + "\n", + "# Calculate total number of codeshare flights\n", + "total_codeshares = codeshare_counts.sum()\n", + "print(f\"\\nTotal number of codeshare flights: {total_codeshares}\")" + ], + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Number of flights for each Codeshare Brand:\n", + "BRANDED_CODE_SHARE\n", + "AA_CODESHARE 243372\n", + "UA_CODESHARE 158933\n", + "DL_CODESHARE 141211\n", + "AS_CODESHARE 40502\n", + "Name: count, dtype: int64\n", + "\n", + "Total number of codeshare flights: 584018\n" + ] + } + ] + }, + { + "cell_type": "code", + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 853 + }, + "id": "571e8070", + "outputId": "0e4aaa4b-04f6-4df9-d9c7-740123e1b32f" + }, + "source": [ + "# Create dummy variables for BRANDED_CODE_SHARE to calculate correlation\n", + "# This converts categories like 'AA', 'UA' into numeric columns\n", + "branded_dummies = pd.get_dummies(testing_df['BRANDED_CODE_SHARE'], prefix='BRAND')\n", + "\n", + "\n", + "\n", + "# Select delay columns\n", + "delay_cols = testing_df[['DEP_DELAY', 'ARR_DELAY']]\n", + "\n", + "# Concatenate delays with the new dummy variables\n", + "analysis_df = pd.concat([delay_cols, branded_dummies], axis=1)\n", + "\n", + "# Calculate correlation between delays and the specific brands\n", + "# We filter the correlation matrix to only show the relevant rows and columns\n", + "# Transpose the matrix to list brands vertically\n", + "brand_delay_corr = analysis_df.corr().loc[['DEP_DELAY', 'ARR_DELAY'], branded_dummies.columns].T\n", + "\n", + "# Rename columns for better readability\n", + "brand_delay_corr.columns = ['Departure Delay', 'Arrival Delay']\n", + "\n", + "# Mapping dictionary for renaming\n", + "name_mapping = {\n", + " 'BRAND_AA': 'American Airlines',\n", + " 'BRAND_AA_CODESHARE': 'American Airlines (Codeshare)',\n", + " 'BRAND_AS': 'Alaska Airlines',\n", + " 'BRAND_AS_CODESHARE': 'Alaska Airlines (Codeshare)',\n", + " 'BRAND_B6': 'JetBlue',\n", + " 'BRAND_DL': 'Delta Air Lines',\n", + " 'BRAND_DL_CODESHARE': 'Delta Air Lines (Codeshare)',\n", + " 'BRAND_F9': 'Frontier Airlines',\n", + " 'BRAND_G4': 'Allegiant Air',\n", + " 'BRAND_HA': 'Hawaiian Airlines',\n", + " 'BRAND_NK': 'Spirit Airlines',\n", + " 'BRAND_UA': 'United Airlines',\n", + " 'BRAND_UA_CODESHARE': 'United Airlines (Codeshare)',\n", + " 'BRAND_WN': 'Southwest Airlines'\n", + "}\n", + "\n", + "# Rename the index\n", + "brand_delay_corr.index = brand_delay_corr.index.map(lambda x: name_mapping.get(x, x))\n", + "\n", + "\n", + "# Plot the correlation heatmap\n", + "plt.figure(figsize=(5, 10))\n", + "sns.heatmap(brand_delay_corr, annot=True, cmap='coolwarm', center=0, fmt='.3f')\n", + "plt.title('Correlation Matrix between Delay and Brands')\n", + "plt.yticks(rotation=0)\n", + "plt.xticks(rotation=0)\n", + "plt.show()" + ], + "execution_count": null, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": "iVBORw0KGgoAAAANSUhEUgAAApQAAANECAYAAAAOhr+nAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjAsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvlHJYcgAAAAlwSFlzAAAPYQAAD2EBqD+naQABAABJREFUeJzs3XdYFMcbwPHvHb0jTYoIUhRULNhi71Gjxq6xxBJrikaNPTZsRI01xo41GnuLvcdeoxgbsVdsSBGQvr8/+Hnx5EAUFYjv53nuSZh9d3Zmbw/fm9lZVIqiKAghhBBCCPGW1NndACGEEEIIkbtJQimEEEIIIbJEEkohhBBCCJElklAKIYQQQogskYRSCCGEEEJkiSSUQgghhBAiSyShFEIIIYQQWSIJpRBCCCGEyBJJKIUQQgghRJZIQinEf8CiRYtQqVTcvHnzndV58+ZNVCoVixYtemd15nbVqlWjWrVq76SuF+f3559/fif1iax7l+9vTvQ+fk/kFP/19y43kIRSiHRcu3aN7t274+HhgbGxMZaWllSsWJFp06bx/Pnz7G7eO7N8+XKmTp2a3c3Q0rFjR1QqFZaWljrP9ZUrV1CpVG+dkN2/f5+RI0dy9uzZd9DanOPixYuMHDnyP5kwvODu7q5579VqNdbW1vj5+dGtWzeOHz+e3c37Txg5cqTmHL84z05OTjRo0IBjx45ld/NEDqWf3Q0QIifasmULLVq0wMjIiPbt21O0aFESEhI4dOgQ/fv358KFC8ydOze7m/lOLF++nPPnz9O7d2+tcjc3N54/f46BgUG2tEtfX5/Y2Fj++OMPWrZsqbVt2bJlGBsbExcX91Z1379/n4CAANzd3SlRokSm99u5c+dbHe9DuXjxIgEBAVSrVg13d/fsbs57U6JECX744QcAnj17xqVLl1i9ejXz5s2jT58+TJ48OZtb+N8wa9YszM3NSUlJ4c6dO8ybN48qVapw4sSJN/rciI+DJJRCvOLGjRt88cUXuLm5sXfvXpycnDTbvv32W65evcqWLVuyfBxFUYiLi8PExCTNtri4OAwNDVGrs28SQaVSYWxsnG3HNzIyomLFivz+++9pEsrly5dTv3591q5d+0HaEhsbi6mpKYaGhh/keCJjLi4utGvXTqts/PjxtGnThilTpuDt7c3XX3+dTa3772jevDl2dnaanxs3bkzRokVZvXp1hgllTvj9JT48ebeFeMWECROIjo4mKChIK5l8wcvLi++//17zc1JSEqNHj8bT0xMjIyPc3d0ZMmQI8fHxWvu5u7vToEEDduzYQenSpTExMWHOnDns378flUrFihUrGDp0KC4uLpiamhIVFQXA8ePHqVu3LlZWVpiamlK1alUOHz782n5s3LiR+vXr4+zsjJGREZ6enowePZrk5GRNTLVq1diyZQu3bt3STG+9GNlK7x7KvXv3UrlyZczMzLC2tqZRo0ZcunRJK+bFlNnVq1fp2LEj1tbWWFlZ0alTJ2JjY1/b9hfatGnDtm3biIiI0JSdPHmSK1eu0KZNmzTxT58+pV+/fvj5+WFubo6lpSX16tUjODhYE7N//37KlCkDQKdOnTT9ftHPatWqUbRoUU6fPk2VKlUwNTVlyJAhmm0v36fVoUMHjI2N0/S/Tp065MmTh/v372eqn1OmTMHNzQ0TExOqVq3K+fPn08RcvnyZ5s2bY2Njg7GxMaVLl2bTpk2a7YsWLaJFixYAVK9eXdOv/fv307dvX2xtbVEURRPfs2dPVCoV06dP15Q9fPgQlUrFrFmzNGXx8fGMGDECLy8vjIyMcHV1ZcCAAWmub4DffvuNUqVKYWJigo2NDV988QV37tzRinlxfi9evEj16tUxNTXFxcWFCRMmZOpcpcfExISlS5diY2PD2LFjtfqakpLC1KlTKVKkCMbGxuTNm5fu3bsTHh6eYZ0JCQkMHz6cUqVKYWVlhZmZGZUrV2bfvn2aGEVRcHd3p1GjRmn2j4uLw8rKiu7du2d4nIULF1KjRg0cHBwwMjKicOHCWu/BCy9+hxw6dIiyZctibGyMh4cHS5YsSRN74cIFatSogYmJCfny5WPMmDGkpKRk2I7XcXR0BFJnD17I6PdXZj6PL9exatUqxo4dS758+TA2NqZmzZpcvXo1TTvmzp2Lp6cnJiYmlC1bloMHD+ps7y+//EKRIkUwNTUlT548lC5dmuXLl2fpHIgMKEIILS4uLoqHh0em4zt06KAASvPmzZVff/1Vad++vQIojRs31opzc3NTvLy8lDx58iiDBg1SZs+erezbt0/Zt2+fAiiFCxdWSpQooUyePFkJDAxUYmJilD179iiGhoZK+fLllUmTJilTpkxRihUrphgaGirHjx/X1L1w4UIFUG7cuKEpa9y4sdKyZUtl4sSJyqxZs5QWLVoogNKvXz9NzM6dO5USJUoodnZ2ytKlS5WlS5cq69evVxRFUW7cuKEAysKFCzXxu3btUvT19ZWCBQsqEyZMUAICAhQ7OzslT548WsceMWKEAiglS5ZUmjZtqsycOVPp0qWLAigDBgzI1Dk1MzNToqKiFGNjYyUoKEizrXfv3oqPj4+mfRMnTtRsO3nypOLp6akMGjRImTNnjjJq1CjFxcVFsbKyUu7du6coiqI8ePBAGTVqlAIo3bp10/T72rVriqIoStWqVRVHR0fF3t5e6dmzpzJnzhxlw4YNmm1Vq1bVHC88PFzJly+fUqZMGSUpKUlRFEWZPXu2AihLly7NsI8v2u/n56e4u7sr48ePVwICAhQbGxvF3t5eefDggSb2/PnzipWVlVK4cGFl/PjxyowZM5QqVaooKpVKWbdunaIoinLt2jWlV69eCqAMGTJE068HDx4o69atUwDl77//1tRZvHhxRa1WK82bN9eUrV69WgGU8+fPK4qiKMnJycqnn36qmJqaKr1791bmzJmjfPfdd4q+vr7SqFEjrf6MGTNGUalUSqtWrZSZM2dqrg13d3clPDxcE1e1alXF2dlZcXV1Vb7//ntl5syZSo0aNRRA2bp1a4bnTFFSP0f169dPd3vnzp21+qAoitKlSxdFX19f6dq1qzJ79mxl4MCBipmZmVKmTBklISFBq20vv7+PHz9WnJyclL59+yqzZs1SJkyYoBQqVEgxMDBQzpw5o4n78ccfFQMDAyUsLEyrLatWrVIA5cCBAxn2qUyZMkrHjh2VKVOmKL/88ovy6aefKoAyY8aMNH0vVKiQkjdvXmXIkCHKjBkzFH9/f0WlUmn1NzQ0VLG3t1fy5MmjjBw5Upk4caLi7e2tFCtWLM3vCV1efH5DQkKUx48fKw8fPlT++usvpUmTJoqxsbHWsTL6/ZWZz+PLdZQsWVIpVaqUMmXKFGXkyJGKqampUrZsWa22zZ8/XwGUChUqKNOnT1d69+6tWFtbKx4eHlrv3dy5czW/l+fMmaNMmzZN6dy5s9KrV68M+y7eniSUQrwkMjJSAdL8Y5mes2fPKoDSpUsXrfJ+/fopgLJ3715NmZubmwIo27dv14p98cvUw8NDiY2N1ZSnpKQo3t7eSp06dZSUlBRNeWxsrFKgQAGldu3amjJdCeXLdb3QvXt3xdTUVImLi9OU1a9fX3Fzc0sTqyuhLFGihOLg4KD1D2dwcLCiVquV9u3ba8pe/IP01VdfadXZpEkTxdbWNs2xXvUioVQURWnevLlSs2ZNRVFSExxHR0clICBAZ0IZFxenJCcnp+mHkZGRMmrUKE3ZyZMn0/TthapVqyqAMnv2bJ3bXv5HS1EUZceOHQqgjBkzRrl+/bpibm6e5suELi/ab2Jioty9e1dTfvz4cQVQ+vTpoymrWbOm4ufnp/W+paSkKBUqVFC8vb01ZS8Swn379mkd69GjRwqgzJw5U1EURYmIiFDUarXSokULJW/evJq4Xr16KTY2NprrbenSpYparVYOHjyoVd+LpPnw4cOKoijKzZs3FT09PWXs2LFacX///beir6+vVf7i/C5ZskRTFh8frzg6OirNmjV77Xl7XUI5ZcoUBVA2btyoKIqiHDx4UAGUZcuWacVt3749Tfmr729SUpISHx+vtV94eLiSN29erWs7JCREAZRZs2ZpxX7++eeKu7u71udXF12f1Tp16qT5Yvvid8jLCeqjR48UIyMj5YcfftCU9e7dWwG0vnQ+evRIsbKyeqOE8tWXtbV1pn9/KUrmP48v6vD19dU639OmTdP6IpSQkKA4ODgoJUqU0Ip7kTy+/N41atRIKVKkSIb9FO+WTHkL8ZIX08wWFhaZit+6dSsAffv21Sp/sWDg1XstCxQoQJ06dXTW1aFDB637Kc+ePauZ2g0LC+PJkyc8efKEmJgYatasyYEDBzKcwnq5rmfPnvHkyRMqV65MbGwsly9fzlT/XhYaGsrZs2fp2LEjNjY2mvJixYpRu3Ztzbl4WY8ePbR+rly5MmFhYZrznBlt2rRh//79PHjwgL179/LgwQOd092Qet/li/u2kpOTCQsLw9zcnEKFCvHXX39l+phGRkZ06tQpU7Gffvop3bt3Z9SoUTRt2hRjY2PmzJmT6WM1btwYFxcXzc9ly5alXLlymvP59OlT9u7dS8uWLTXv45MnTwgLC6NOnTpcuXKFe/fuZXgMe3t7fHx8OHDgAACHDx9GT0+P/v378/DhQ65cuQLAwYMHqVSpEiqVCoDVq1fj6+uLj4+P5rhPnjyhRo0aAJqp33Xr1pGSkkLLli214hwdHfH29taaIgYwNzfXugfS0NCQsmXLcv369Uyft/SYm5sDqdf8iz5YWVlRu3ZtrbaVKlUKc3PzNG17mZ6enua+2ZSUFJ4+fUpSUhKlS5fWup4KFixIuXLlWLZsmabs6dOnbNu2jbZt22rOZ3pe/qxGRkby5MkTqlatyvXr14mMjNSKLVy4MJUrV9b8bG9vT6FChbTO3datW/nkk08oW7asVlzbtm0zbMer1q5dy65du9i5cycLFy6kYMGCNGvWjCNHjqSJffX3F7z557FTp05a9ym/6OeLvp06dYpHjx7Ro0cPrbiOHTtiZWWlVZe1tTV3797l5MmTb9Rn8fZkUY4QL7G0tAT+/cfodW7duoVarcbLy0ur3NHREWtra27duqVVXqBAgXTrenXbi3/kO3TokO4+kZGR5MmTR+e2CxcuMHToUPbu3ZsmgXv1H6nMeNGXQoUKpdnm6+vLjh07iImJwczMTFOeP39+rbgXbQ0PD9ec69f57LPPsLCwYOXKlZw9e5YyZcrg5eWl89E4KSkpTJs2jZkzZ3Ljxg2t+0VtbW0zdTxIXfTxJgtwfv75ZzZu3MjZs2dZvnw5Dg4Omd7X29s7TVnBggVZtWoVAFevXkVRFIYNG8awYcN01vHo0SOtpFSXypUra5LUgwcPUrp0aUqXLo2NjQ0HDx4kb968BAcHayXrV65c4dKlS9jb26d73BdxiqLo7AuQ5kkB+fLlS5Nk5cmTh3PnzmXYh8yIjo4G/v1SeOXKFSIjI9N9T170IT2LFy9m0qRJXL58mcTERE35q5/X9u3b891333Hr1i3c3NxYvXo1iYmJfPnll69t8+HDhxkxYgRHjx5Nc49xZGSkVrL06mcKUs/dy/eD3rp1i3LlyqWJ0/XZzUiVKlW0FuU0b94cb29vevbsyenTp7Vidf1ue9PPY0a/L+Df30GvXmcGBgZ4eHholQ0cOJDdu3dTtmxZvLy8+PTTT2nTpg0VK1Z8bb/F25GEUoiXWFpa4uzsrHNRREZeNwLxgq4V3eltezH6OHHixHRXVL4YjXlVREQEVatWxdLSklGjRuHp6YmxsTF//fUXAwcOzPLN+Zmlp6ens1x5acHE6xgZGdG0aVMWL17M9evXGTlyZLqx48aNY9iwYXz11VeMHj0aGxsb1Go1vXv3fqM+Z/Q+6XLmzBlNYvL333/TunXrN9o/Iy/a3a9fv3RHt1/9QqNLpUqVmDdvHtevX+fgwYNUrlwZlUpFpUqVOHjwIM7OzqSkpGiNfqWkpODn55fuY3hcXV01cSqVim3btul8z1+9Tt/FdZGeF5/dF+ckJSUFBwcHrdHDl6WXLEPqIqOOHTvSuHFj+vfvj4ODA3p6egQGBnLt2jWt2C+++II+ffqwbNkyhgwZwm+//Ubp0qVfm8Rdu3aNmjVr4uPjw+TJk3F1dcXQ0JCtW7cyZcqUNNft+zx3r2Nubk65cuXYuHFjmi+Puj4zb/p5fJd98/X1JSQkhM2bN7N9+3bWrl3LzJkzGT58OAEBAW9cn3g9SSiFeEWDBg2YO3cuR48epXz58hnGurm5kZKSwpUrV/D19dWUP3z4kIiICNzc3N66HZ6enkBqklurVq032nf//v2EhYWxbt06qlSpoim/ceNGmtjMJsMv+hISEpJm2+XLl7Gzs9P6B+ZdatOmDQsWLECtVvPFF1+kG7dmzRqqV69OUFCQVnlERITWSEtm+5wZMTExdOrUicKFC1OhQgUmTJhAkyZNNCvJX+fFSPTL/vnnH81q+xcjLwYGBq+9DjLq14tEcdeuXZw8eZJBgwYBqaNQs2bNwtnZGTMzM0qVKqXZx9PTk+DgYGrWrJlh3Z6eniiKQoECBShYsGCGbXyfoqOjWb9+Pa6urprPo6enJ7t376ZixYpv/EVhzZo1eHh4sG7dOq3+jxgxIk2sjY0N9evXZ9myZbRt25bDhw9n6g8G/PHHH8THx7Np0yatEbqMpuJfx83NTed1peuz+6aSkpKA1HP9us97Zj+PmfXid9CVK1c0t10AJCYmcuPGDYoXL64Vb2ZmRqtWrWjVqhUJCQk0bdqUsWPHMnjw4Gx9JNp/ldxDKcQrBgwYgJmZGV26dOHhw4dptl+7do1p06YBqdOxQJp/OF6M6NSvX/+t21GqVCk8PT35+eefNdN4L3v8+HG6+774pv/yN/uEhARmzpyZJtbMzCxTU+BOTk6UKFGCxYsXaz3G5/z58+zcuVNzLt6H6tWrM3r0aGbMmKF5dIkuenp6aUYzVq9eneYewxf/EL7cj7c1cOBAbt++zeLFi5k8eTLu7u506NBB52N1dNmwYYNW+06cOMHx48epV68eAA4ODlSrVo05c+YQGhqaZv+Xr4OM+lWgQAFcXFyYMmUKiYmJmqm/ypUrc+3aNdasWcMnn3yi9UiYli1bcu/ePebNm5emvufPnxMTEwNA06ZN0dPTIyAgIM35VxSFsLCwTJ2LrHj+/DlffvklT58+5ccff9QkgC1btiQ5OZnRo0en2ScpKSnDa0DX5+j48eMcPXpUZ/yXX37JxYsX6d+/P3p6ehl++cnoGJGRkSxcuPC1+6bns88+49ixY5w4cUJT9vjx43RHaTPr6dOnHDlyBEdHx0zd1pHZz2NmlS5dGnt7e2bPnk1CQoKmfNGiRWnex1evOUNDQwoXLoyiKFq3Loh3R0YohXiFp6cny5cvp1WrVvj6+mr9pZwjR46wevVqOnbsCEDx4sXp0KEDc+fO1UwznzhxgsWLF9O4cWOqV6/+1u1Qq9XMnz+fevXqUaRIETp16oSLiwv37t1j3759WFpa8scff+jct0KFCuTJk4cOHTrQq1cvVCoVS5cu1Tl1VKpUKVauXEnfvn0pU6YM5ubmNGzYUGe9EydOpF69epQvX57OnTvz/PlzfvnlF6ysrDKcis4qtVrN0KFDXxvXoEEDRo0aRadOnahQoQJ///03y5YtS3N/laenJ9bW1syePRsLCwvMzMwoV65chve46rJ3715mzpzJiBEj8Pf3B1KfKVitWjWGDRuWqWcrenl5UalSJb7++mvi4+OZOnUqtra2DBgwQBPz66+/UqlSJfz8/OjatSseHh48fPiQo0ePcvfuXc1z/UqUKIGenh7jx48nMjISIyMjzfMNITV5XLFiBX5+fpr70/z9/TEzM+Off/5Js9jpyy+/ZNWqVfTo0YN9+/ZRsWJFkpOTuXz5MqtWrdI8U9XT05MxY8YwePBgbt68SePGjbGwsODGjRusX7+ebt260a9fvzc6txm5d+8ev/32G5A6Unbx4kVWr17NgwcP+OGHH7Se+1i1alW6d+9OYGAgZ8+e5dNPP8XAwIArV66wevVqpk2bRvPmzXUep0GDBqxbt44mTZpQv359bty4wezZsylcuLDOL3n169fH1taW1atXU69evUwlXZ9++imGhoY0bNiQ7t27Ex0dzbx583BwcND5BSIzBgwYwNKlS6lbty7ff/89ZmZmzJ07Fzc3tze6T3XNmjWYm5ujKAr3798nKCiI8PBwZs+enalR/sx+HjPLwMCAMWPG0L17d2rUqEGrVq24ceMGCxcuTFPnp59+iqOjIxUrViRv3rxcunSJGTNmUL9+/UwvuhRv6IOvKxcil/jnn3+Url27Ku7u7oqhoaFiYWGhVKxYUfnll1+0Ht+SmJioBAQEKAUKFFAMDAwUV1dXZfDgwVoxipL+405ePDJj9erVOttx5swZpWnTpoqtra1iZGSkuLm5KS1btlT27NmjidH12KDDhw8rn3zyiWJiYqI4OzsrAwYM0Dzi5uXHykRHRytt2rRRrK2tFUDzCCFdjw1SFEXZvXu3UrFiRcXExESxtLRUGjZsqFy8eFEr5sVjRx4/fqxVrqudurz82KD0pPfYoB9++EFxcnJSTExMlIoVKypHjx7V+bifjRs3KoULF1b09fW1+lm1atV0Hzfycj1RUVGKm5ub4u/vryQmJmrF9enTR1Gr1crRo0cz1f5JkyYprq6uipGRkVK5cmUlODg4Tfy1a9eU9u3bK46OjoqBgYHi4uKiNGjQQFmzZo1W3Lx58xQPDw9FT08vzXv966+/KoDy9ddfa+1Tq1YtBdC6pl5ISEhQxo8frxQpUkQxMjJS8uTJo5QqVUoJCAhQIiMjtWLXrl2rVKpUSTEzM1PMzMwUHx8f5dtvv1VCQkK0zqGu89uhQwedj6961YtH5wCKSqVSLC0tlSJFiihdu3bVekzOq+bOnauUKlVKMTExUSwsLBQ/Pz9lwIAByv3797Xa9vJ1kpKSoowbN05xc3NTjIyMlJIlSyqbN2/OsK3ffPONAijLly9/bV9e2LRpk1KsWDHF2NhY80zSBQsWpPmspPc7RNf1fe7cOaVq1aqKsbGx4uLioowePVoJCgp668cGmZmZKeXLl1dWrVqlFZvR76/Mfh7TqyO930EzZ85UChQooBgZGSmlS5dWDhw4kKbOOXPmKFWqVNH83vT09FT69++f5poV745KUT7AnbxCCCHER6BPnz4EBQXx4MEDTE1Ns7s5Qnwwcg+lEEII8Q7ExcXx22+/0axZM0kmxUdH7qEUQgghsuDRo0fs3r2bNWvWEBYWxvfff5/dTRLig5OEUgghhMiCixcv0rZtWxwcHJg+fXq6z40V4r9M7qEUQgghhBBZIvdQCiGEEEKILJGEUgghhBBCZIkklEIIIYQQIktkUY4QOVR44DfZ3QTxkTC0s8nuJoiPhFnXMe+srkvNar+zut4137W7srsJH5yMUAohhBBCiCyRhFIIIYQQQmSJTHkLIYQQItdRqVXZ3QTxEhmhFEIIIYQQWSIJpRBCCCGEyBKZ8hZCCCFEriNT3jmLjFAKIYQQQogskYRSCCGEEEJkiUx5CyGEECLXkSnvnEVGKIUQQgghRJZIQimEEEIIIbJEpryFEEIIkeuo1DImlpPIuyGEEEIIIbJEEkohhBBCCJElklAKIYQQQogskYRSCCGEEEJkiSSUQgghhBAiS2SVtxBCCCFyHbWePNg8J5ERSiGEEEIIkSWSUAohhBBCiCyRhFK81siRIylRokR2NyNTqlWrRu/evTOMuXnzJiqVirNnzwKwf/9+VCoVERER7719Qggh3g2VWpVjXx8juYcyhzp69CiVKlWibt26bNmyJVvb0q9fP3r27JmtbXhZnTp12L17N8eOHaNMmTJa29atW4eBgcEb1VehQgVCQ0OxsrJ6l80Ub8jIvwpG5WqjNrck+dFdYneuIjn0VrrxBj4lManSELWVLSlPHxG7fwNJ1y6kblSrManyOQaeRVBb26HEPyfxZgjP929AiY7U1GFcoS4GnkXRy5sPJTmJyCn93nc3RQ6w8sxVlpwMISwmjoL21gyoWZKiTjbpxu8KucOswxe4HxlD/jzm9KpSjEoeTprte/65y9rg61x6GE5kXAK/t69NIQdrrTqexMQx9c9gjt98SExCEu42FnT+xJeaBfO9r24K8UHJCGUOFRQURM+ePTlw4AD379/PljYoikJSUhLm5ubY2tpmSxtedfv2bY4cOcJ3333HggUL0my3sbHBwsIi3f0TEhLSlBkaGuLo6IhK9XF+q8wJDHxLYVKzGXGHthC1IJDkh/cwb9UTlam5zng9Fw/MGn1FfPARohYEknAlGPNm3VHb/f8feQND9BxdeX54G1ELA4leNxc9WwfMm/d4pSI9Ei7/RfxfB95zD0VOsePyHSbvD6Zb+cIs/7I23g5WfLvmAE9j4nTGB997wpDNx2lUtADL29emmpcLfTcc5urjf7+YPE9MpoSLHb2q+KV73OFbT3Dr6TOmNKnEqo6fUsPbhYF/HOXyw/B33kchsoMklDlQdHQ0K1eu5Ouvv6Z+/fosWrRIa/uLKdodO3ZQsmRJTExMqFGjBo8ePWLbtm34+vpiaWlJmzZtiI2N1eyXkpJCYGAgBQoUwMTEhOLFi7NmzZo09W7bto1SpUphZGTEoUOHdE55L1iwgCJFimBkZISTkxPfffedZtvkyZPx8/PDzMwMV1dXvvnmG6KjozXbFy1ahLW1NTt27MDX1xdzc3Pq1q1LaGjoa8/NwoULadCgAV9//TW///47z58/19r+6pS3u7s7o0ePpn379lhaWtKtW7c0db465Z3Z9s2fPx9fX1+MjY3x8fFh5syZmm0JCQl89913ODk5YWxsjJubG4GBga/t38fKuGwN4oMPk/D3MVLCHhC7/XdISsCwWAXd8aWrk3j9IvHHd5MS9oC4A5tJfnAH41LVUgPi44he8QuJl/8i5ekjku/fJHbnKvSd3FBZ5tHUE3dwC/En95L8OHu+tIkPb9mpf2jiV4BGfgXwsLPkx9qlMDbQY+P5mzrjl/91hfIFHOlQthAetpZ8U6koPnnzsPLsVU1MgyJudKtQmHJuedM9bvD9J7Qq6U1RJxvyWZvTpXxhLIwMuSQJ5VtTqdU59vUx+jh7ncOtWrUKHx8fChUqRLt27ViwYAGKoqSJGzlyJDNmzODIkSPcuXOHli1bMnXqVJYvX86WLVvYuXMnv/zyiyY+MDCQJUuWMHv2bC5cuECfPn1o164df/75p1a9gwYN4qeffuLSpUsUK1YszXFnzZrFt99+S7du3fj777/ZtGkTXl5emu1qtZrp06dz4cIFFi9ezN69exkwYIBWHbGxsfz8888sXbqUAwcOcPv2bfr1y3i6UVEUFi5cSLt27fDx8cHLy0srIU7Pzz//TPHixTlz5gzDhg17bXxm2rds2TKGDx/O2LFjuXTpEuPGjWPYsGEsXrwYgOnTp7Np0yZWrVpFSEgIy5Ytw93dPVPH/uio9dBzzE/SjZCXChUSb15G36WAzl30XQqQdPOyVlnijYvopRMPoDIyRlFSUOKepxsj/tsSk1O49DBcK/FTq1SUy5+Xc/fDdO7z9/0wyrk5aJWVd3dMNz49xZ3t2Blyh8jnCaQoCjsu3yY+KZlSrg6v31mIXEDuocyBgoKCaNeuHQB169YlMjKSP//8k2rVqmnFjRkzhooVKwLQuXNnBg8ezLVr1/Dw8ACgefPm7Nu3j4EDBxIfH8+4cePYvXs35cuXB8DDw4NDhw4xZ84cqlatqql31KhR1K5dO932jRkzhh9++IHvv/9eU/byvYyvjhCOGTOGHj16aI3gJSYmMnv2bDw9PQH47rvvGDVqVIbnZffu3cTGxlKnTh0A2rVrR1BQEF9++WWG+9WoUYMffvhB8/PNmzczjM9M+0aMGMGkSZNo2rQpAAUKFODixYvMmTOHDh06cPv2bby9valUqRIqlQo3N7fXHvNjpTI1R6XWIyU2SqtciXmGnq3uER+VuSUpMc/SxKvNLXUfRE8fk2pNSLh4ChJ0T22K/76I5/EkKwo2ZsZa5TZmxtx8+kznPk9i4rA11Y63NTUiLJ0p8vSMb/gJAzcfo/qvG9FXqzDW12NS4wrkz6P7tg4hchtJKHOYkJAQTpw4wfr16wHQ19enVatWBAUFpUkoXx49zJs3L6ampppk8kXZiRMnALh69SqxsbFpEsWEhARKliypVVa6dOl02/fo0SPu379PzZo1043ZvXs3gYGBXL58maioKJKSkoiLiyM2NhZTU1MATE1NNckagJOTE48ePUq3TkidZm/VqhX6+qmXbevWrenfvz/Xrl3TqutVGfUnPRm1LyYmhmvXrtG5c2e6du2qiUlKStIs7OnYsSO1a9emUKFC1K1blwYNGvDpp5+me7z4+Hji4+O1y5KSMdLXe+O2i1eo1Zg16QIqiN2+IrtbIz5SMw9fIDoukVktqpDHxIh9V+8x8I9jBH1RHW97WRD4Nj7W1dQ5lSSUOUxQUBBJSUk4OztryhRFwcjIiBkzZmitRH55NbNKpUqzulmlUpGSkgKguYdxy5YtuLi4aMUZGRlp/WxmZpZu+0xMTDJs/82bNzX3OI4dOxYbGxsOHTpE586dSUhI0CSUutqqa1r/hadPn7J+/XoSExOZNWuWpjw5OZkFCxYwduzYdPfNqD/pyah9L87lvHnzKFeunFacnl5qAujv78+NGzfYtm0bu3fvpmXLltSqVSvdKfrAwEACAgK0ygbUKM2gWmV0xv+XKLHRKCnJqE0tSX6pXGVmQUp0lO59oqNQm2kvvtIZr1Zj1rgLaksbon+fJqOTHzlrEyP0VKo0C3CexsRh+8qo5Qt2ZsaExWrHh8XGpxuvy52IaFaeucrqjp/iaZf6O7yggzVn7j5h1dmr/Fi71Bv2RIicR+6hzEGSkpJYsmQJkyZN4uzZs5pXcHAwzs7O/P77729dd+HChTEyMuL27dt4eXlpvVxdXTNdj4WFBe7u7uzZs0fn9tOnT5OSksKkSZP45JNPKFiw4DtZpb5s2TLy5ctHcHCw1rmZNGkSixYtIjk5+fWVvCN58+bF2dmZ69evpzmXBQr8ew+fpaUlrVq1Yt68eaxcuZK1a9fy9OlTnXUOHjyYyMhIrVefav4fqkvZKyWZ5Ae30Xcv9FKhCgO3QiTdu6Fzl6R7N9B389EqM3D3Jfnl+P8nk3o2DkT/Ph3lecx7aLzITQz01PjmzcOJ2//OhqQoCiduP6KYs+4nWfg523LilvbsyfFbD9ON1yUuMfX306tPklCrVaRk8EVaiNxERihzkM2bNxMeHk7nzp3TPBOxWbNmBAUF0aNHj3T2zpiFhQX9+vWjT58+pKSkUKlSJSIjIzl8+DCWlpZ06NAh03WNHDmSHj164ODgQL169Xj27BmHDx+mZ8+eeHl5kZiYyC+//ELDhg05fPgws2fPfqs2vywoKIjmzZtTtGhRrXJXV1cGDx7M9u3bqV+/fpaPk1kBAQH06tULKysr6tatS3x8PKdOnSI8PJy+ffsyefJknJycKFmyJGq1mtWrV+Po6Ii1tbXO+oyMjNKMFCd/RNPdcSf2YtagPckPbpF0/xbGZaqDgREJ544CYNqgAynPIoj7c2Nq/Kl9WLTtg1HZmiRePY9h4dLoOeUnZtuy1ArVasyadEXfMT/Rq2eCWo3KLPX+SuV5DKT8/x94yzyojc1QW+ZBpVKj55D6TMDk8MeQGI/472lbuiAjtp2gcN48FHGyYfnpKzxPTOLzou4ADNt6AgdzE3r+/xFAbfy96bpyP0tPhlDJw4kdl+9w8cFThr40qhj5PIEHz2J5HJ264OvF/Zi2ZsbYmRnjbmOBq7U5Y3edpk/V4liZGLL/yj2O33zItKaVPuwJ+A+RKe+cRRLKHCQoKIhatWrpfMB2s2bNmDBhAufOnXvr+kePHo29vT2BgYFcv34da2tr/P39GTJkyBvV06FDB+Li4pgyZQr9+vXDzs6O5s2bA1C8eHEmT57M+PHjGTx4MFWqVCEwMJD27du/dbtPnz5NcHAw8+bNS7PNysqKmjVrEhQU9EETyi5dumBqasrEiRPp378/ZmZm+Pn5aRYkWVhYMGHCBK5cuYKenh5lypRh69atqD/Sx0m8TuKl0zw3Nce4cgPUZqkPNo9eNQMlNvUfZrVlHlBSNPHJ964Ts2kBJlU+x6Tq56SEPyZ67RxSnqQ+2kltYY1hweIAWHb+UetYz5ZNIen2FQBMKjfAqFh5zTbLzkPSxIj/ljo+roTHxjPr8AXCYuMoZG/NjOaVNVPYD6JieTlPKe5ix9j65Zh56DwzDp0nv7U5kxtXxOul+x7/vHafkdtPan4evPkYAN3KF6ZHxSIY6Kn5pVklph/4m97rDxGbkIRrHnMC6pXVekC6ELmZSsnoxjUhRLYJD/wmu5sgPhKGdun/lRgh3iWzrmPeWV23ujV+Z3W9a25zN2R3Ez44GaEUQgghRK7zsT5APKeSd0MIIYQQQmSJJJRCCCGEECJLZMpbCCGEELmOrPLOWWSEUgghhBBCZIkklEIIIYQQIktkylsIIYQQuY6s8s5Z5N0QQgghhBBZIgmlEEIIIYTIEpnyFkIIIUTuo5JV3jmJjFAKIYQQQogskYRSCCGEEEJkiSSUQgghhBAiSyShFEIIIYQQWSIJpRBCCCGEyBJZ5S2EEEKIXEf+lnfOIiOUQgghhBAiSyShFEIIIYQQWSJT3kIIIYTIdeRveecs8m4IIYQQQogskYRSCCGEEEJkiUx5CyGEECLXkVXeOYsklELkUEaVqmd3E8RH4tbUudndBPGR8O2a3S0Q74tMeQshhBBCiCyREUohhBBC5DqyyjtnkXdDCCGEEEJkiSSUQgghhBAiS2TKWwghhBC5jqzyzllkhFIIIYQQQmSJJJRCCCGEECJLZMpbCCGEELmOTHnnLDJCKYQQQgghskQSSiGEEEIIkSUy5S2EEEKI3EcebJ6jyLshhBBCCCGyRBJKIYQQQgiRJTLlLYQQQohcR6WSVd45iYxQCiGEEEKILJGEUgghhBBCZIlMeQshhBAi11HJKu8cRd4NIYQQQgiRJZJQCiGEEEKILJEpbyGEEELkOvK3vHOWXD9COXLkSEqUKJHdzciUatWq0bt37wxjbt68iUql4uzZswDs378flUpFRETEe29fRhISEvDy8uLIkSMf5Hju7u5MnTr1ndS1aNEirK2t30ldbyohIQF3d3dOnTqVLccXQgghPoS3GqE8evQolSpVom7dumzZsuVdt+mN9OvXj549e2ZrG15Wp04ddu/ezbFjxyhTpozWtnXr1mFgYPBG9VWoUIHQ0FCsrKzeZTPf2OzZsylQoAAVKlTQKt+3bx8TJ07k+PHjPH/+HHd3d+rVq0ffvn1xcXHJptbmHIaGhvTr14+BAweyZ8+e7G5OjrZy7zEW7zhEWGQ0BV0dGdi6AUU98qUbv+vUeWZu2M39JxHkz2tLr2afUrlYIc12RVGYtXEP6w+e4llsHMW98jOk3ee45bXTxFy6dZ9pa3Zw4eY99NQqapYqwg8t62FqbPRe+yqyV566n2PTqAX61jbE37zGg6Bfibsakm68Rfkq2LfugIG9Iwmh93j023xi/jqRulFPD/vWnTD3L4thXkeSY2OJOfcXj38LIik8TFOHoZMLDu27YeJTBJW+PvG3bvB4xSJizwe/7+4K8UG81QhlUFAQPXv25MCBA9y/f/9dtylTFEUhKSkJc3NzbG1ts6UNr7p9+zZHjhzhu+++Y8GCBWm229jYYGFhke7+CQkJacoMDQ1xdHTM1ge4KorCjBkz6Ny5s1b5nDlzqFWrFo6Ojqxdu5aLFy8ye/ZsIiMjmTRpUja19sNJTEzMVFzbtm05dOgQFy5ceM8tyr12nPibSau20b1hdZYP/4aCro58M3URT6OidcafvXqbwXNX0bhSKX4f/g3VSvrS99flXL33UBOzaPtBft9zjCHtGrFkSA9MjAz5dspi4v//vj2KiKLHpIW4Otiy9Mfu/Nq7A9fuPWL4wnUfpM8ie1hUqIpDx+48WfUbN/p/Tdyt6+QfFoiepbXOeJNChXHpM4SIPdu50e9rok8cxnXASIxc3QFQGxlh7OHFkzW/caP/N9ydEICRcz7yDRqlVU++IWNQ6elxe2R/bgz4lrib13EdPBo96zzvucdCfBhvnFBGR0ezcuVKvv76a+rXr8+iRYu0tr+Yot2xYwclS5bExMSEGjVq8OjRI7Zt24avry+Wlpa0adOG2NhYzX4pKSkEBgZSoEABTExMKF68OGvWrElT77Zt2yhVqhRGRkYcOnRI55T3ggULKFKkCEZGRjg5OfHdd99ptk2ePBk/Pz/MzMxwdXXlm2++ITr633+0XkyP7tixA19fX8zNzalbty6hoaGvPTcLFy6kQYMGfP311/z+++88f/5ca/urU97u7u6MHj2a9u3bY2lpSbdu3dLU+eqUd2bbN3/+fHx9fTE2NsbHx4eZM2dqtiUkJPDdd9/h5OSEsbExbm5uBAYGptuv06dPc+3aNerXr68pu3v3Lr169aJXr14sWLCAatWq4e7uTpUqVZg/fz7Dhw/XxK5du1bzfri7u6dJNh89ekTDhg0xMTGhQIECLFu2LE0bIiIi6NKlC/b29lhaWlKjRg2Cg//9Zh8cHEz16tWxsLDA0tKSUqVKpZlmzuicnTx5ktq1a2NnZ4eVlRVVq1blr7/+0tpfpVIxa9YsPv/8c8zMzBg7diwAGzduxN/fH2NjYzw8PAgICCApKUmzX548eahYsSIrVqxI9xx/7H7bdZimlUvTqFIpPJ0d+LHd5xgbGrDh0Gmd8b/vPkKFot50qFsZD2cHvm1cC183J1bsPQakfglavvsIXRtUo3pJXwq6OjL6q+Y8jnjGvjOXADgYHIK+nprBbRvg7mhPkQL5+PHLz9lz+gK3H4bpPK7I/WwbNiNi9zYi9+0g4e5tHsyZRkp8PNY16+iMt6nfhOgzJ3m6cTUJ927zeMVi4m5cJU+9RgCkxMZyZ9Qgnh05QML9u8RducSD+TMw8SqIvp09AHoWlhg55+PJ+hXE37pBYug9Hv82H7WxCUb53T9U14V4r944oVy1ahU+Pj4UKlSIdu3asWDBAhRFSRM3cuRIZsyYwZEjR7hz5w4tW7Zk6tSpLF++nC1btrBz505++eUXTXxgYCBLlixh9uzZXLhwgT59+tCuXTv+/PNPrXoHDRrETz/9xKVLlyhWrFia486aNYtvv/2Wbt268ffff7Np0ya8vLz+7bBazfTp07lw4QKLFy9m7969DBgwQKuO2NhYfv75Z5YuXcqBAwe4ffs2/fr1y/C8KIrCwoULadeuHT4+Pnh5eWklxOn5+eefKV68OGfOnGHYsGGvjc9M+5YtW8bw4cMZO3Ysly5dYty4cQwbNozFixcDMH36dDZt2sSqVasICQlh2bJluLu7p3u8gwcPUrBgQa3R1dWrV5OQkJDm3L3w4p7F06dP07JlS7744gv+/vtvRo4cybBhw7S+iHTs2JE7d+6wb98+1qxZw8yZM3n06JFWfS1atNB8KTl9+jT+/v7UrFmTp0+fAqmjgPny5ePkyZOcPn2aQYMGad1e8Lpz9uzZMzp06MChQ4c4duwY3t7efPbZZzx79kyrHSNHjqRJkyb8/ffffPXVVxw8eJD27dvz/fffc/HiRebMmcOiRYs0yeYLZcuW5eDBg+me449ZYlISl27dp1xhT02ZWq2mnK8n567f0bnPuet3KOfrqVVWvog3566lxt97Es6TyGitGAtTY4p65NPEJCQlYaCvh/qlZ9kZ/f+aOXv11rvpnMhZ9PUx9ixIzLmXviwqCjHn/sKkYGGdu5gULKwdD0SfPYVJId90D6M2M0NJSSElJgaA5GdRxN+7jVXV2qiMjEGtxvrT+iRFhBN37UrW+yVEDvDG91AGBQXRrl07AOrWrUtkZCR//vkn1apV04obM2YMFStWBKBz584MHjyYa9eu4eHhAUDz5s3Zt28fAwcOJD4+nnHjxrF7927Kly8PgIeHB4cOHWLOnDlUrVpVU++oUaOoXbt2uu0bM2YMP/zwA99//72m7OV7GV8dIRwzZgw9evTQGsFLTExk9uzZeHqm/mP03XffMWqU9vTFq3bv3k1sbCx16qR+y23Xrh1BQUF8+eWXGe5Xo0YNfvjhB83PN2/ezDA+M+0bMWIEkyZNomnTpgAUKFBAk+x06NCB27dv4+3tTaVKlVCpVLi5uWV4vFu3buHs7KxVduXKFSwtLXFycspw38mTJ1OzZk1NslywYEEuXrzIxIkT6dixI//88w/btm3jxIkTmvcpKCgIX99/f1kfOnSIEydO8OjRI4yMUu9t+/nnn9mwYQNr1qyhW7du3L59m/79++Pj4wOAt7f3G52zGjVqaMXPnTsXa2tr/vzzTxo0aKApb9OmDZ06ddL8/NVXXzFo0CA6dOgApF63o0ePZsCAAYwYMUIT5+zszK1bkqToEh4dS3JKCjaW5lrltpbm3HzwROc+TyKjsbE0SxMfFvlMsx3QWeeLmLI+HkxetY3F2w/SplZ5nscnMn3dTgAeR2p/kRD/DfoWVqj09EiOCNcqT44Mx8jFVfc+1nlIjozQjo8IR9/aRme8ysAAh3ZdiDq0j5Tn/87C3R45kHwDAyj020ZQFJIiI7g9ZjApMbpv6xCZIA82z1He6N0ICQnhxIkTtG7dGgB9fX1atWpFUFBQmtiXRw/z5s2LqampJpl8UfZiFOrq1avExsZSu3ZtzM3NNa8lS5Zw7do1rXpLly6dbvsePXrE/fv3qVmzZroxu3fvpmbNmri4uGBhYcGXX35JWFiY1vS7qampJvEAcHJySjNi9qoFCxbQqlUr9PVTc/TWrVtz+PDhNO1/VUb9SU9G7YuJieHatWt07txZ61yOGTNG05aOHTty9uxZChUqRK9evdi5c2eGx3v+/DnGxsZaZYqiZOq+zkuXLmm+WLxQsWJFrly5QnJyMpcuXUJfX59SpUpptvv4+Gityg4ODiY6OhpbW1utPt24cUPTp759+9KlSxdq1arFTz/9lOa8v+49ffjwIV27dsXb2xsrKyssLS2Jjo7m9u3bWvW8+n4FBwczatQorXZ17dqV0NBQrWvKxMRE6+dXxcfHExUVpfWKT8jcPZri7Xi65GXUV81YuvMw5b8ZRa0ffsLFLg+2luaos/GeZZGL6enh8sMwVCoVD+ZO19rk2LUnyVER3Bral5sDv0u9F3Pw6HQTUyFymzcaoQwKCiIpKUlrtEpRFIyMjJgxY4bWSuSXpxtVKlWa1c0qlYqUlBQAzT2MW7ZsSbMy+MWI1AtmZtqjEi8zMTHJsP03b97U3OM4duxYbGxsOHToEJ07dyYhIQFTU9M0bX/RVl3T+i88ffqU9evXk5iYyKxZszTlycnJLFiwIM30Z2b7k56M2vfiXM6bN49y5cppxenp6QHg7+/PjRs32LZtG7t376Zly5bUqlUr3Sl6Ozs7/v77b62yggULEhkZSWho6GtHKbMqOjoaJycn9u/fn2bbi8Rz5MiRtGnThi1btrBt2zZGjBjBihUraNKkCfD697RDhw6EhYUxbdo03NzcMDIyonz58mkWSr36fkVHRxMQEKAZDX7Zy0n406dPsbe3T7ePgYGBBAQEaJUN6dicH79qme4+/xV5zE3RU6vTLMAJi4rG1spc5z52VuY8jYrREW+h2Q7wNCoae2sLrZhCrv9er/XKFadeueKERUZjYmSASqXit52HyWcv/8j/FyU9i0RJTk6zEEbPKg9Jr4xaavaJCEfPylo73joPSRFPtQP19Mj3w1AM7B24PaK/1uikqV9JzEuV458OTTXlD+b9gmfxUlhVr03Y+pVZ75wQ2SzTI5RJSUksWbKESZMmcfbsWc0rODgYZ2dnfv/997duROHChTEyMuL27dt4eXlpvVxddU9D6GJhYYG7u3u6j2c5ffo0KSkpTJo0iU8++YSCBQu+k1Xqy5YtI1++fAQHB2udm0mTJrFo0SKSk5OzfIzMyps3L87Ozly/fj3NuSxQoIAmztLSklatWjFv3jxWrlzJ2rVrNfcjvqpkyZJcvnxZKwFr3rw5hoaGTJgwQec+LxYR+fr6cvjwYa1thw8fpmDBgujp6eHj40NSUhKnT/+7+CIkJETruZv+/v48ePAAfX39NH2ys/v3ETAFCxakT58+7Ny5k6ZNm7Jw4cJMn7fDhw/Tq1cvPvvsM80CoidPdE+3vszf35+QkJA07fLy8tK6N+/8+fOULFky3XoGDx5MZGSk1qtfuyaZbn9uZqCvj6+bM8cvXdeUpaSkcOLydYp56P78F/Nw5cQl7VHoYxevUswzNd7FLg92VuYcfykm+nkc56/f1cS8zNbKHFNjI3ac/BtDA30+KeyZJkb8ByQlEXftH8z8XvosqlSYFSvJ838u6tzl+T8XMSum/dk1K+bP85BL/xa8SCadXLgdMJDkaO1bJtT/HxhRlBStciUlBVQybfu2VGpVjn19jDI9Qrl582bCw8Pp3LlzmmciNmvWjKCgIHr06PFWjbCwsKBfv3706dOHlJQUKlWqRGRkJIcPH8bS0lJzf1pmjBw5kh49euDg4EC9evV49uwZhw8fpmfPnnh5eZGYmMgvv/xCw4YNOXz4MLNnz36rNr8sKCiI5s2bU7RoUa1yV1dXBg8ezPbt27VWSL9vAQEB9OrVCysrK+rWrUt8fDynTp0iPDycvn37MnnyZJycnChZsiRqtZrVq1fj6OiY7sO/q1evTnR0NBcuXND00dXVlSlTpvDdd98RFRVF+/btcXd35+7duyxZsgRzc3MmTZrEDz/8QJkyZRg9ejStWrXi6NGjzJgxQ3PPaqFChahbty7du3dn1qxZ6Ovr07t3b63R5lq1alG+fHkaN27MhAkTNF8EtmzZQpMmTShSpAj9+/enefPmFChQgLt373Ly5EmaNWuW6XPm7e3N0qVLKV26NFFRUfTv3/+1I94Aw4cPp0GDBuTPn5/mzZujVqsJDg7m/PnzjBkzRhN38OBBRo8enW49RkZGaUbjYw3f7JmluVm72hUZvmAthd2cKVogH8t3H+F5fAKNKqbeCjE0aA0O1pb0avYpAK1rVaDrxPks2XGIysUKsePEOS7evM+w9o2B1BHoNrUqMH/LfvLntcXFLg8zN+zB3tqC6iX/vT93xd5jFPfMj6mRIccuXmXqmh30bPopFqavf+9F7hT2x1qcew4g7to/PL8Sgk2DJqiNjInYuwMAp54DSHr6hMfLUh/99nTLetxGTcKmYXOi/zqOZcVqmHgW5MHsqakV6umRr99wjD28uDNuGKjVmhHQ5OhnkJTE85CLJMdE49xzAE9W/YaSEI917c8wdHAk+vTx7DgNQrxzmU4og4KCqFWrls4HbDdr1owJEyZw7ty5t27I6NGjsbe3JzAwkOvXr2NtbY2/vz9Dhgx5o3o6dOhAXFwcU6ZMoV+/ftjZ2dG8eXMAihcvzuTJkxk/fjyDBw+mSpUqBAYG0r59+7du9+nTpwkODmbevHlptllZWVGzZk2CgoI+aELZpUsXTE1NmThxIv3798fMzAw/Pz/NgiQLCwsmTJjAlStX0NPTo0yZMmzdulVrRO1ltra2NGnShGXLlmk9Xuibb76hYMGC/PzzzzRp0kTzYPMGDRrQt29fIHUEb9WqVQwfPpzRo0fj5OTEqFGj6Nixo6aehQsX0qVLF6pWrUrevHkZM2aM1op3lUrF1q1b+fHHH+nUqROPHz/G0dGRKlWqkDdvXvT09AgLC6N9+/Y8fPgQOzs7mjZtmmYKOSNBQUF069YNf39/XF1dGTdu3GtX9kPqg+w3b97MqFGjGD9+PAYGBvj4+NClSxdNzNGjR4mMjNRchyKtOmX9CI+OYdbGPZpp6V97d9BMeT8Ii9C6r7GEV37GdW3Jr+t3M2P9LvI72DL52zZ4ueTVxHSsW5nn8QmMWbKRZ7FxlPDOz6+9O2hWcgOcv3GX2Rv3EBufgLujPT9++TkNyqc/kixyv2dH/uSRlTX2X3RAzzoP8TeucXvMEM3CGwM7B3hpNuZ5yEXuTQ3EvnVH7Nt2IiH0HncmjCT+zs3UeBs7LMqm/sEHj8lztI51a/gPxF44R/KzKO6MGYJ9m07kD5iISk+P+Du3uDN+BPG3riPEf4FKyejmQCH+79y5c9SuXZtr165hbq77vjahW6tWrShevPgbfzmKPbj6PbVICG23ps7N7iaIj4Tv2l3vrK6nY7q/s7reNZuhc14f9B/zVn96UXx8ihUrxvjx47lx4wZ+fn7Z3ZxcIyEhAT8/P/r06ZPdTRFCiP8Uldx/mqNIQiky7eVpapE5hoaGDB06NLubIYQQQrxXkt4LIYQQQogskRFKIYQQQuQ+H+njeXIqGaEUQgghhBBZIgmlEEIIIYTIEpnyFkIIIUSuo0rn2ckie8i7IYQQQgghskQSSiGEEEKIbPTrr7/i7u6OsbEx5cqV48SJExnGr169Gh8fH4yNjfHz82Pr1q2abYmJiQwcOBA/Pz/MzMxwdnamffv23L9//732QRJKIYQQQuQ6KrUqx77exMqVK+nbty8jRozgr7/+onjx4tSpU4dHjx7pjD9y5AitW7emc+fOnDlzhsaNG9O4cWPOnz8PQGxsLH/99RfDhg3jr7/+Yt26dYSEhPD5559n+ZxnRP70ohA5lPzpRfGhyJ9eFB/Ku/zTi5ETe76zut41q/6/ZDq2XLlylClThhkzZgCQkpKCq6srPXv2ZNCgQWniW7VqRUxMDJs3b9aUffLJJ5QoUYLZs2frPMbJkycpW7Yst27dIn/+/G/Ym8yREUohhBBCiGyQkJDA6dOnqVWrlqZMrVZTq1Ytjh49qnOfo0ePasUD1KlTJ914gMjISFQqFdbW1u+k3brIKm8hhBBC5D45+G95x8fHEx8fr1VmZGSEkZGRVtmTJ09ITk4mb968WuV58+bl8uXLOut+8OCBzvgHDx7ojI+Li2PgwIG0bt0aS0vLN+1KpuXcd0MIIYQQIhcKDAzEyspK6xUYGPjB25GYmEjLli1RFIVZs2a912PJCKUQQgghxDs0ePBg+vbtq1X26ugkgJ2dHXp6ejx8+FCr/OHDhzg6Ouqs29HRMVPxL5LJW7dusXfv3vc6OgkyQimEEEKIXCi7V3Jn9DIyMsLS0lLrpSuhNDQ0pFSpUuzZs0dTlpKSwp49eyhfvrzOfpcvX14rHmDXrl1a8S+SyStXrrB7925sbW3f0VlPn4xQCiGEEEJkk759+9KhQwdKly5N2bJlmTp1KjExMXTq1AmA9u3b4+Liopky//7776latSqTJk2ifv36rFixglOnTjF3burTGhITE2nevDl//fUXmzdvJjk5WXN/pY2NDYaGhu+lH5JQCiGEEEJkk1atWvH48WOGDx/OgwcPKFGiBNu3b9csvLl9+zbql/7MZIUKFVi+fDlDhw5lyJAheHt7s2HDBooWLQrAvXv32LRpEwAlSpTQOta+ffuoVq3ae+mHPIdSiBxKnkMpPhR5DqX4UN7lcyijpvZ9fVA2sew9Obub8MHJPZRCCCGEECJLJKEUQgghhBBZIgmlEEIIIYTIElmUI0QOFRTVPLubID4Sjv2bZXcTxEfCN7sbIN4bGaEUQgghhBBZIiOUQgghhMh1VCpVdjdBvERGKIUQQgghRJZIQimEEEIIIbJEpryFEEIIkfuoZUwsJ5F3QwghhBBCZIkklEIIIYQQIktkylsIIYQQuY5KLau8cxIZoRRCCCGEEFkiCaUQQgghhMgSmfIWQgghRO6jkjGxnETeDSGEEEIIkSWSUAohhBBCiCyRKW8hhBBC5D6yyjtHkRFKIYQQQgiRJZJQCiGEEEKILJEpbyGEEELkOipZ5Z2jyLshhBBCCCGyRBJKIYQQQgiRJTLlLYQQQojcR1Z55ygyQikA2L9/PyqVioiIiHdSX8eOHWncuPE7qetNZLYfr7avWrVq9O7d+722TQghhPivkhHKj8jRo0epVKkSdevWZcuWLdndnLeWUT8qVKhAaGgoVlZWb1TnunXrMDAweJfNFG9BURRObP+FC8dWE/88CqcC/lRrPgJre/cM9zt3aBln9gUR++wJds4+VGkylLxuxTTbzx9dyT9/bebx3YskxsfQdewJjEwsNdvvXj3OhpkddNbdovdq8ub3eyf9EzmHoijsWf8Lp/avJi72Gfm9S/J5hxHYObpnuN+x3cs4tG0B0ZFPcHT1oUG7H8nn+e+1dnLfKoKPbSb05kXi42L4ceZxTMz+vdbCH99j36aZXL94nOjIJ1hYO1CiQkOqft4dfX3D99VdId47GaH8iAQFBdGzZ08OHDjA/fv3s7s5by2jfhgaGuLo6IhKpXsqJDk5mZSUlDTlNjY2WFhYvJf2isz7a+98gg8upVqLkbTovQoDQxM2zelCUmJ8uvtcObOVQxt/okydb2nVdx22zoXYNLcLsc/CNDFJCXG4+VSmdK3uOutwci9Jp5EHtV6Fy7XA0iYfDq5F33k/RfY7uHU+x3b9RqOOI+kxfCWGRqYs/rkriQnpX2t/H9/Ktt/HU73Rt3wTsBZH10Is+rkr0VH/XmuJCc/x9qtMlYa6r7XHoddRUhQadQyg17g/+KzNIE7sW8mu1VPfdRf/81RqdY59fYw+zl5/hKKjo1m5ciVff/019evXZ9GiRRnGh4WF0bp1a1xcXDA1NcXPz4/ff/9dK2bNmjX4+flhYmKCra0ttWrVIiYmRmd9J0+exN7envHjxwOwfft2KlWqhLW1Nba2tjRo0IBr165luR+vTnkvWrQIa2trNm3aROHChTEyMuL27dtp6n11ytvd3Z1x48bx1VdfYWFhQf78+Zk7d67WPnfu3KFly5ZYW1tjY2NDo0aNuHnzplZbypYti5mZGdbW1lSsWJFbt269to8fK0VRCD6whNK1e+BRtCZ2zoWo1WY8MVGPuH5+d7r7nf1zEUU+aUHhss2wcfSievMA9A2MuXRirSamRNUOlKrZjbxuxXXWoadviJmlveZlbGbNjQt78C3bNN0vJyL3UhSFIzuWUK1hD3z9a+KYvxDNu/3Es4hHXPor/Wvt8PbFlK7aglJVmuLg4sXnHUdiYGjM6QPrNDEV6nSgaoOuuHrqvtYKFqtMs67j8PariI2DK77+NahUrxMXT+965/0U4kOShPIjsWrVKnx8fChUqBDt2rVjwYIFKIqSbnxcXBylSpViy5YtnD9/nm7duvHll19y4sQJAEJDQ2ndujVfffUVly5dYv/+/TRt2lRnnXv37qV27dqMHTuWgQMHAhATE0Pfvn05deoUe/bsQa1W06RJE52jh1npB0BsbCzjx49n/vz5XLhwAQcHh9edLgAmTZpE6dKlOXPmDN988w1ff/01ISEhACQmJlKnTh0sLCw4ePAghw8fxtzcnLp165KQkEBSUhKNGzematWqnDt3jqNHj9KtWzdJTjIQ9fQusc8e41qwgqbMyMSCvPmL8eDmWZ37JCcl8OjuBa19VGo1+QqWT3efzLhxfi9xMRH4lm361nWInCv88V2iI5/gWaS8pszY1IJ8HsW4czVY5z5JSQncv3lBax+1Wo1nkfLcuXo2S+2Ji32Gidmb3aYjRE4j91B+JIKCgmjXrh0AdevWJTIykj///JNq1arpjHdxcaFfv36an3v27MmOHTtYtWoVZcuWJTQ0lKSkJJo2bYqbmxsAfn5p7zNbv3497du3Z/78+bRq1UpT3qxZM624BQsWYG9vz8WLFylaNP0pxjftB6QmfzNnzqR4cd0jBun57LPP+OabbwAYOHAgU6ZMYd++fRQqVIiVK1eSkpLC/PnzNUniwoULsba2Zv/+/ZQuXZrIyEgaNGiAp6cnAL6+vm90/I9NbNRjAEwtbLXKTS3siH32ROc+z2PCUVKSMdGxT8SjG2/dlkvH15K/UCXMrR3fug6Rc0VHpl5P5lba1425pR3PIh/r3Cf2WQQpKclp97Gy5Uno219rYQ9vcWz3Mup+0f+t6/hoyRf0HEVGKD8CISEhnDhxgtatWwOgr69Pq1atCAoKSnef5ORkRo8ejZ+fHzY2Npibm7Njxw7NdHHx4sWpWbMmfn5+tGjRgnnz5hEeHq5Vx/Hjx2nRogVLly7VSiYBrly5QuvWrfHw8MDS0hJ3d3cAndPRWekHpN5XWaxYsQxjdHl5H5VKhaOjI48ePQIgODiYq1evYmFhgbm5Oebm5tjY2BAXF8e1a9ewsbGhY8eO1KlTh4YNGzJt2jRCQ0PTPVZ8fDxRUVFar8QM7hv8Lwg5/QdzBvlrXinJSdndJACiIx5wO+QQvuWavT5Y5Apnj/zBqG6lNK/k5MTsbhIAUU8fsvjnbhQtU4cy1Vpmd3OEyBIZofwIBAUFkZSUhLOzs6ZMURSMjIyYMWOGzhXREydOZNq0aUydOhU/Pz/MzMzo3bs3CQkJAOjp6bFr1y6OHDnCzp07+eWXX/jxxx85fvw4BQoUAMDT0xNbW1sWLFhA/fr1tVZRN2zYEDc3N+bNm4ezszMpKSkULVpUU/+76geAiYnJW001v7rqW6VSaabko6OjKVWqFMuWLUuzn729PZA6YtmrVy+2b9/OypUrGTp0KLt27eKTTz5Js09gYCABAQFaZXVbD+eztiPfuN25RYEi1cmb/9+kPTk59b2PfRaGmeW/tyXEPnuCnYvu0V0Tszyo1Ho8f2kBzot9TC3s3qpdl06sw9jMmgJFa7zV/iLn8S1ZA9eXVmInJaZea9GRYVhY/3utRUc9wSm/7mvN1MIatVqP6Ejtay06Mgxzqze/1qLCHxH0Uwfye5WgUadRb7y/EDmNjFD+xyUlJbFkyRImTZrE2bNnNa/g4GCcnZ3TLLR54fDhwzRq1Ih27dpRvHhxPDw8+Oeff7RiVCoVFStWJCAggDNnzmBoaMj69es12+3s7Ni7dy9Xr16lZcuWJCamjgqEhYUREhLC0KFDqVmzJr6+vmlGN99VP94Xf39/rly5goODA15eXlqvlxPbkiVLMnjwYI4cOULRokVZvny5zvoGDx5MZGSk1qt2y8EfqjvZwtDYHGt7N83LJq8Xphb23L1yVBOTEBfNw9vncHQvobMOPX1DHPIV4c5L+ygpKdy9cizdfTKiKAqXTqyjUOlG6OnJY6T+K4xMzLDN66Z5Obh4YW5lx7WLxzQxcc+juXv9HK5eum+N0dc3xNm9CNdf2iclJYXrF4/h6lXijdoT9fQhQYHtcXYvQtOu41B/pKuCs0ytzrmvj5CMUP7Hbd68mfDwcDp37pxmBK9Zs2YEBQXRo0ePNPt5e3uzZs0ajhw5Qp48eZg8eTIPHz6kcOHCQOp09p49e/j0009xcHDg+PHjPH78OM19gg4ODuzdu5fq1avTunVrVqxYQZ48ebC1tWXu3Lk4OTlx+/ZtBg0a9F768b60bduWiRMn0qhRI0aNGkW+fPm4desW69atY8CAASQmJjJ37lw+//xznJ2dCQkJ4cqVK7Rv315nfUZGRhgZGWmVGRhkvNjov0alUlG8SntO7ZqNtZ07FjYuHN8+HTNLBzyK1tLEbZjVEY+itShWOfVe2hJVO7L790E4uBYlb/5iBP+5mKSE51oLamKiHhP77AmRT1JvqQgL/QcDIzMsrJ0wNrPWxN29coyop3cpUq7Fh+m0yBYqlYoKddqzf9NsbPO6kcc+H3vWTcfC2gFf/3+vtQXjO1HYvxaf1G4LQMW6HVg7bzDOBYqSz8OPIzuWkBD/nFKVm2j2eRbxmOjIJzx9mPpEh4d3/8HI2AwrWydMza1Tk8mf2mNl60y9LwYQE/VUs6+Ftf0HOgNCvHuSUP7HBQUFUatWLZ3Twc2aNWPChAmcO3cuzbahQ4dy/fp16tSpg6mpKd26daNx48ZERkYCYGlpyYEDB5g6dSpRUVG4ubkxadIk6tWrl6YuR0dH9u7dS7Vq1Wjbti3Lly9nxYoV9OrVi6JFi1KoUCGmT5+e4cKat+3H+2JqasqBAwcYOHAgTZs25dmzZ7i4uFCzZk0sLS15/vw5ly9fZvHixYSFheHk5MS3335L9+66n00nUvnX6EJSwnP2rR7+/webl6Jht3noG/ybbEc+uc3zmH9HtL1Lfsbz6Kec2P4LMVGPsXfxpWG3eVpT3uePrODkzl81P6+bkZqM1vxinFbiefH4GhzdS5Inr8f77KbIASp/1oWE+OdsXDSCuNgo8nv706HfXAwM/73Wnj66TUz0v9eaX7nPiIkKZ8+66URHpk6Pd+g3V2vK+8S+lezb8O+1Nn/clwA07TIO/8pNuHrhCGEPbxP28DYT+lTTatOYxZfeT2eF+ABUyuueuSKEyBa/bJGPpvgwHG3lWhMfRotP3t10cOyigNcHZRPTjiOyuwkf3Mc50S+EEEIIId4ZSSiFEEIIIUSWyD2UQgghhMh95MHmOYqMUAohhBBCiCyRhFIIIYQQQmSJTHkLIYQQItdRfaQPEM+p5N0QQgghhBBZIgmlEEIIIYTIEpnyFkIIIUTuo5IxsZxE3g0hhBBCCJElklAKIYQQQogskSlvIYQQQuQ+anmweU4iI5RCCCGEECJLJKEUQgghhBBZIlPeQgghhMh1VLLKO0eRd0MIIYQQQmSJJJRCCCGEECJLZMpbCCGEELmPrPLOUWSEUgghhBBCZIkklEIIIYQQIktkylsIIYQQuY+s8s5R5N0QQgghhBBZIiOUQuRQfm5x2d0E8ZHw40x2N0F8NCpkdwPEeyIJpRBCCCFyH5Ws8s5JZMpbCCGEEEJkiSSUQgghhBAiS2TKWwghhBC5j1rGxHISeTeEEEIIIUSWSEIphBBCCCGyRBJKIYQQQgiRJZJQCiGEEEKILJGEUgghhBBCZIms8hZCCCFE7iN/yztHkXdDCCGEEEJkiSSUQgghhBAiS2TKWwghhBC5j1r+lndOIiOUQgghhBAiSyShFEIIIYQQWSJT3kIIIYTIfWSVd44i74YQQgghhMgSSSiFEEIIIUSWyJS3EEIIIXIflazyzklkhFIIIYQQQmRJrkgo9+/fj0qlIiIi4p3U17FjRxo3bvxO6noTme3Hq+2rVq0avXv3fq9ty4ygoCA+/fTTD3KsRYsWYW1t/c7qc3d3Z+rUqe+svjcxe/ZsGjZsmC3HFkIIIT6EHDPlffToUSpVqkTdunXZsmVLdjfnrWXUjwoVKhAaGoqVldUb1blu3ToMDAzeZTPfWFxcHMOGDWP16tVa5VFRUYwfP561a9dy8+ZNrK2tKVq0KN988w1NmjRBJVMSfPXVV4wePZqDBw9SuXLl7G5OjqYoCn+smMXB3et4HvsMz0IlaNNtCHmd3TLcb9+2FezauJjIiDDyuRfki84DKeDtp9memBDP6sWTOHVoB0lJCRQuXoE23YZgaW0LwJG9G1n86widdU9csBdLK5t310mRI6zdtodlG7fxNCISL/f89O3clsLeHunG7z1ykrm/r+PB4yfkc8rLN+1aUKFUcc12RVGYv2IDm3b/ybPYWIoV8qZ/ty9xdXbUxDTt0Y8Hj8O06u3Rtjntm9Z/9x38GKhzxZjYRyPHvBtBQUH07NmTAwcOcP/+/exuzlvLqB+GhoY4Ojqmm2QlJyeTkpKSptzGxgYLC4v30t7MWrNmDZaWllSsWFFTFhERQYUKFViyZAmDBw/mr7/+4sCBA7Rq1YoBAwYQGRmZjS1+/xISEjIVZ2hoSJs2bZg+ffp7blHut2PDIvZuXU7b7j8yKHApRsYmTB/9DYkJ8enuc/LwDtYsmkT9lt35ceLv5HMryPTR3xAV+VQTs2rhz5w7dYBu/Sbyw6ggIsIfM3tCX8320hXrMGH+bq1X4RIVKFiklCST/0G7Dx9n+qIVfNWyEQsnjsTLzZU+oyfxNDJKZ/zfl68wYspsGtaswqKfA6hS1p9BE37h2u27mpjfNmxl9dZd9O/envmBwzA2NqTP6MnEJyRq1dX1iyb8MX+q5tXis1rvta9CfCg5IqGMjo5m5cqVfP3119SvX59FixZlGB8WFkbr1q1xcXHB1NQUPz8/fv/9d62YNWvW4Ofnh4mJCba2ttSqVYuYmBid9Z08eRJ7e3vGjx8PwPbt26lUqRLW1tbY2trSoEEDrl27luV+vDrl/WJad9OmTRQuXBgjIyNu376dpt5Xp7zd3d0ZN24cX331FRYWFuTPn5+5c+dq7XPnzh1atmyJtbU1NjY2NGrUiJs3b2q1pWzZspiZmWFtbU3FihW5detWun1bsWJFmmnbIUOGcPPmTY4fP06HDh0oXLgwBQsWpGvXrpw9exZzc3MAwsPDad++PXny5MHU1JR69epx5coVrboWLVpE/vz5MTU1pUmTJoSFaX+LB9i4cSP+/v4YGxvj4eFBQEAASUlJQOrowMiRI8mfPz9GRkY4OzvTq1cvrf1jY2MzPGcDBw6kYMGCmJqa4uHhwbBhw0hM/Pcfg5EjR1KiRAnmz59PgQIFMDY2BlIT6y5dumBvb4+lpSU1atQgODhYq+6GDRuyadMmnj9/nu45/tgpisKezcv4rHlXSpStTj73gnTqOZqI8MecPbEv3f12/7GUSrWaUrFGY5xdPWnbfSiGRsYc2bMBgOcxzzi8dz0tOv6Aj19Z3DwL0/HbAK6FBHP9n3MAGBoZY5XHTvNSq9WEnD9BxRpNPkTXxQe24o+dfF6rCg1qVKaAqwsDurfHyMiQzXsO6oxftWUX5Ur60bZxPdzzOdOtdVMKFXBj7bY9QOq1u2rzLjo2b0iVsv54ubsyvGdXnoSHc+DEX1p1mZoYY5vHSvMyMTZ67/0V4kPIEQnlqlWr8PHxoVChQrRr144FCxagKEq68XFxcZQqVYotW7Zw/vx5unXrxpdffsmJEycACA0NpXXr1nz11VdcunSJ/fv307RpU5117t27l9q1azN27FgGDhwIQExMDH379uXUqVPs2bMHtVpNkyZNdI4eZqUfkJrkjB8/nvnz53PhwgUcHBxed7oAmDRpEqVLl+bMmTN88803fP3114SEhACQmJhInTp1sLCw4ODBgxw+fBhzc3Pq1q1LQkICSUlJNG7cmKpVq3Lu3DmOHj1Kt27dMpyePnToEKVLl9b8nJKSwooVK2jbti3Ozs5p4s3NzdHXT72jomPHjpw6dYpNmzZx9OhRFEXhs88+0yRrx48fp3Pnznz33XecPXuW6tWrM2bMGK36Dh48SPv27fn++++5ePEic+bMYdGiRYwdOxaAtWvXMmXKFObMmcOVK1fYsGEDfn5+WnVkdM4ALCwsWLRoERcvXmTatGnMmzePKVOmaNVx9epV1q5dy7p16zh79iwALVq04NGjR2zbto3Tp0/j7+9PzZo1efr03xGy0qVLk5SUxPHjx9M9xx+7Jw/vERXxBN9i5TRlJmYWFPD243pIsM59khITuX3tktY+arUan2LlNMnireuXSE5K0opxzFcAGzundOs99udmDA2N8S8vo0f/NYmJSYRcu0npYkU0ZWq1mjLFCnP+n6s69zn/zzXKFCusVVauRFHOh6QONNx/+JiwiEitOs3NTCns7cn5EO06l67fQt0O39Gh3wiWbdhGUnLyu+rax0elyrmvj1COuIcyKCiIdu3aAVC3bl0iIyP5888/qVatms54FxcX+vXrp/m5Z8+e7Nixg1WrVlG2bFlCQ0NJSkqiadOmuLml3nv1anIBsH79etq3b8/8+fNp1aqVprxZs2ZacQsWLMDe3p6LFy9StGjRd9YPSE3+Zs6cSfHixdON0eWzzz7jm2++AVJH1qZMmcK+ffsoVKgQK1euJCUlhfnz52uSxIULF2Jtbc3+/fspXbo0kZGRNGjQAE9PTwB8fX3TPVZERASRkZFaieOTJ08IDw/Hx8cnw3ZeuXKFTZs2cfjwYSpUqADAsmXLcHV1ZcOGDbRo0YJp06ZRt25dBgwYAEDBggU5cuQI27dv19QTEBDAoEGD6NChAwAeHh6MHj2aAQMGMGLECG7fvo2joyO1atXCwMCA/PnzU7Zs2UyfM4ChQ4dqYt3d3enXrx8rVqzQtAtSp7mXLFmCvb09kJponzhxgkePHmFklDrS8PPPP7NhwwbWrFlDt27dADA1NcXKyirDUeCPXVTEEwDNfY0vWFrZEBmRdsQaIPpZOCkpyVik2ceWB/duaurV1zfA1MxSO8Y6/XoP79lA2cr1MDQyfpuuiBws4tkzklNSsLHWvh5srKy4de+Bzn3CIiLJY6Udn8fairCI1Nt6nv7/v2nrtNRsA2jxWW0KebhhaW7G3yFXmb1sDU/CI/i+U+ss90uI7JbtI5QhISGcOHGC1q1TP1D6+vq0atWKoKCgdPdJTk5m9OjR+Pn5YWNjg7m5OTt27NBMFxcvXpyaNWvi5+dHixYtmDdvHuHh4Vp1HD9+nBYtWrB06VKtZBJSk6DWrVvj4eGBpaUl7u7uADqno7PSD0i9v65YsWIZxujy8j4qlQpHR0cePXoEQHBwMFevXsXCwgJzc3PMzc2xsbEhLi6Oa9euYWNjQ8eOHalTpw4NGzZk2rRphIaGpnusF9O0L6Z4gdeOvL5w6dIl9PX1KVfu39EhW1tbChUqxKVLlzQxL28HKF++vNbPwcHBjBo1StMfc3NzunbtSmhoKLGxsbRo0YLnz5/j4eFB165dWb9+vWY6PDPnDGDlypVUrFgRR0dHzM3NGTp0aJr33M3NTZNMvmhXdHQ0tra2Wm27ceNGmtskTExMiI2N1Xme4uPjiYqK0nolZHDf4H/B8QNb6NW2vOaVnJz0+p0+gGshwYTevU7FmjLdLd6t1p/Xwb+oD17urjSpU52eHVqxZtseEhITX7+zEDlcto9QBgUFkZSUpDX6pSgKRkZGzJgxQ+eK6IkTJzJt2jSmTp2Kn58fZmZm9O7dW7NIQk9Pj127dnHkyBF27tzJL7/8wo8//sjx48cpUKAAAJ6entja2rJgwQLq16+vtYq6YcOGuLm5MW/ePJydnUlJSaFo0aIZLsJ4m35AapLxNiuhX131rVKpNFPy0dHRlCpVimXLlqXZ70UytHDhQnr16sX27dtZuXIlQ4cOZdeuXXzyySdp9rG1tUWlUmkl5fb29lhbW3P58uU3bvvbiI6OJiAggKZNm6bZZmxsjKurKyEhIezevZtdu3bxzTffMHHiRP7880/NucronB09epS2bdsSEBBAnTp1sLKyYsWKFUyaNElrHzMzszTtcnJyYv/+/Wna9epjj54+faqVjL4sMDCQgIAArbIOXw+h4zdDdcb/FxQvU01rJXZSYurnKyoiDKs8/56nqMinuLoX1FmHuUUe1Go9nr0y0hgVGYaVtR0AltZ2JCUlEhsTpTVKGRXxFKtXRjYBDu9ej2uBQrh5Fk6zTeR+1hYW6KnVPI3QXoDzNDIyzQjjC7bWVoS/smAnPCISW+vU3+s2///v04go7PJYv1RnFN7urum2pbC3J8nJyYQ+eoKbi9PbdOfjJn/LO0fJ1ncjKSmJJUuWMGnSJM6ePat5BQcH4+zsnGahzQuHDx+mUaNGtGvXjuLFi+Ph4cE///yjFaNSqahYsSIBAQGcOXMGQ0ND1q9fr9luZ2fH3r17uXr1Ki1bttTczxcWFkZISAhDhw6lZs2a+Pr6phndfFf9eF/8/f25cuUKDg4OeHl5ab1eTmxLlizJ4MGDOXLkCEWLFmX58uU66zM0NKRw4cJcvHhRU6ZWq/niiy9YtmyZzlX50dHRJCUl4evrm+bewRfnuHDh1H+wfX1909xbeOzYsTR9CgkJSdMfLy8v1P9/dISJiQkNGzZk+vTp7N+/n6NHj/L3339n6pwdOXIENzc3fvzxR0qXLo23t3empqf9/f158OAB+vr6adplZ2enibt27RpxcXGULFlSZz2DBw8mMjJS69WmS/9MtT23MjYxw8Epv+bl5OqJpbUdl/8+oYl5HhvNjSt/41FI9y0h+gYG5Pf05dJL+6SkpHD53Ak8CqaOSLt5+KKnr8/lc//GPLh3k6dPQtPUG/c8llNHdspinP8wAwN9Cnm6c/rvf3+fpaSkcOrcJYoW9NK5T9GCnpw6d1Gr7MS5CxQtlHrLkHNee2ytrTj1Up0xsc+5eOUaRQvprhPgys3bqNWqNNPpQuRG2ZpQbt68mfDwcDp37kzRokW1Xs2aNUt3utjb21szAnnp0iW6d+/Ow4cPNduPHz/OuHHjOHXqFLdv32bdunU8fvw4zX2CDg4O7N27l8uXL9O6dWuSkpLIkycPtra2zJ07l6tXr7J371769u37ahPeST/el7Zt22JnZ0ejRo04ePAgN27cYP/+/fTq1Yu7d+9y48YNBg8ezNGjR7l16xY7d+7kypUrGd5HWadOHQ4dOqRVNnbsWFxdXSlXrhxLlizh4sWLXLlyhQULFlCyZEmio6Px9vamUaNGdO3alUOHDhEcHEy7du1wcXGhUaNGAJqR0p9//pkrV64wY8YMrfsnAYYPH86SJUsICAjgwoULXLp0iRUrVmjue1y0aBFBQUGcP3+e69ev89tvv2FiYqK5h/Z1vL29uX37NitWrODatWtMnz5d6wtIemrVqkX58uVp3LgxO3fu5ObNmxw5coQff/yRU6dOaeIOHjyIh4eH5p7VVxkZGWFpaan1MjT8uFZ/qlQqajZoy9Y18wg+uZ97t66wcPpQrPPYU6JsdU3c5JHd2Ld1hebnWg2/5NDudRzdt4nQu9dZPncsCfHPqVAj9foyMbOgYo0mrF40iZC/T3Lr2kUW/zocj0LFNEnnC6cO7yAlJZlyVT/7MJ0W2eKLhp+yafefbN13iJt37zNx7hLi4uNpUKMSAKOmz2PWb/8+c7dl/docO3ue5Zu2c/NuKPNXbuDytZs0q1cTSL12WzaozeI1f3Dw5Bmu3brDqOnzsMuThypl/QH4O+QqKzfv5MrN29x78IgdB44ybeHv1KlSHktzs7SNFCKXydYp76CgIGrVqqVzOrhZs2ZMmDCBc+fOpdk2dOhQrl+/Tp06dTA1NaVbt240btxY89xDS0tLDhw4wNSpU4mKisLNzY1JkyZRr169NHU5Ojqyd+9eqlWrRtu2bVm+fDkrVqygV69eFC1alEKFCjF9+vQMF9a8bT/eF1NTUw4cOMDAgQNp2rQpz549w8XFhZo1a2Jpacnz58+5fPkyixcvJiwsDCcnJ7799lu6d++ebp2dO3fWLOZ50U8bGxuOHTvGTz/9xJgxY7h16xZ58uTBz8+PiRMnauIWLlzI999/T4MGDUhISKBKlSps3bpVMwX9ySefMG/ePEaMGMHw4cOpVasWQ4cOZfTo0Zrj16lTh82bNzNq1CjGjx+PgYEBPj4+dOnSBUidXv7pp5/o27cvycnJ+Pn58ccff2Brm3ZKU5fPP/+cPn368N133xEfH0/9+vUZNmwYI0eOzHA/lUrF1q1b+fHHH+nUqROPHz/G0dGRKlWqkDdvXk3c77//TteuXTPVlo9ZncYdSYh7zm+zRxMb8wwvn5L0GjYTg5eS6ycP7hD97N9ZgzIV6xAdGc6mFbOIinhCvgKF6DV0ptbinpad+qFSq5j98w8kJSZQuEQF2nQdkub4h/eup2S5GmkW8Ij/lloVyxER+Yx5KzbwNCIS7wL5mTy0r2bq+uGTMNQv3Yrk5+NNQO/uzP19HXOWrSWfU15+GtATz/z5NDHtGn9GXFwC42cvIjomlmI+BZk8rC9Ghqm/5wwN9Nl96DhBKzeQkJSEs4M9XzT8lC8a1vmwnf8vkQeb5ygqJbOrK8RHr0WLFvj7+zN48ODsbkqucuHCBWrUqME///zzRn8laf95eWal+DD8OJPdTRAfCduiFd5ZXXHb57+zut4147pdsrsJH5yk9yLTJk6cqHlYuci80NBQlixZ8sZ/clMIIYTILbJ9lbfIPdzd3enZs2d2NyPXqVVLHo4thBDv3Ef6APGcSkYohRBCCCFElkhCKYQQQgghskQSSiGEEEIIkSWSUAohhBBCiCyRhFIIIYQQQmSJrPIWQgghRO4jf8s7R5F3QwghhBBCZIkklEIIIYQQIktkylsIIYQQuY882DxHkRFKIYQQQgiRJZJQCiGEEEKILJEpbyGEEELkPmoZE8tJ5N0QQgghhBBZIgmlEEIIIYTIEpnyFkIIIUSuo8gq7xxFRiiFEEIIIUSWSEIphBBCCCGyRBJKIYQQQuQ+KnXOfb2hX3/9FXd3d4yNjSlXrhwnTpzIMH716tX4+PhgbGyMn58fW7du1dq+bt06Pv30U2xtbVGpVJw9e/aN2/SmJKEUQgghhMgmK1eupG/fvowYMYK//vqL4sWLU6dOHR49eqQz/siRI7Ru3ZrOnTtz5swZGjduTOPGjTl//rwmJiYmhkqVKjF+/PgP1Q1UiqIoH+xoQohM23/+eXY3QXwk/DiT3U0QHwnbohXeWV3P9y17Z3W9aybV22Y6tly5cpQpU4YZM2YAkJKSgqurKz179mTQoEFp4lu1akVMTAybN2/WlH3yySeUKFGC2bNna8XevHmTAgUKcObMGUqUKPF2nckkWeUtRA71yb3l2d0E8ZFQDAyzuwnio/HuEsq3mVrOaRISEjh9+jSDBw/WlKnVamrVqsXRo0d17nP06FH69u2rVVanTh02bNjwPpv6WpJQCiGEEEK8Q/Hx8cTHx2uVGRkZYWRkpFX25MkTkpOTyZs3r1Z53rx5uXz5ss66Hzx4oDP+wYMH76Dlby/3p/dCCCGEEDlIYGAgVlZWWq/AwMDsbtZ7JSOUQgghhMh1cvKDzQcPHpxmWvrV0UkAOzs79PT0ePjwoVb5w4cPcXR01Fm3o6PjG8V/KDJCKYQQQgjxDhkZGWFpaan10pVQGhoaUqpUKfbs2aMpS0lJYc+ePZQvX15n3eXLl9eKB9i1a1e68R+KjFAKIYQQQmSTvn370qFDB0qXLk3ZsmWZOnUqMTExdOrUCYD27dvj4uKimTL//vvvqVq1KpMmTaJ+/fqsWLGCU6dOMXfuXE2dT58+5fbt29y/fx+AkJAQIHV0832NZEpCKYQQQojc5z+wyhtSHwP0+PFjhg8fzoMHDyhRogTbt2/XLLy5ffs2avW/fa1QoQLLly9n6NChDBkyBG9vbzZs2EDRokU1MZs2bdIkpABffPEFACNGjGDkyJHvpR/yHEohcqi4HUHZ3QTxkZDHBokPxaTGl++srtgDq95ZXe+aaZWW2d2ED+6/kd4LIYQQQohsI1PeQgghhMh9cvAq74+RjFAKIYQQQogskYRSCCGEEEJkiUx5CyGEECL3UcuYWE4i74YQQgghhMgSSSiFEEIIIUSWSEIphBBCCCGyRBJKIYQQQgiRJZJQCiGEEEKILJFV3kIIIYTIdRR5sHmOIiOUQgghhBAiSyShFEIIIYQQWSIJpRAZuHnzJiqVirNnz2Z3U4QQQrxMpc65r4+Q3EMpcqWOHTsSERHBhg0bXhu7f/9+qlevTnh4ONbW1lp1LF68WPOzjY0NZcqUYcKECRQrVuw9tFpkZMWBv1i89wRPomIo6OLAoOa18HNzSjd+55nL/LrlEPefRpLfPg+9P69K5SKemu27g/9h9aGzXLrzgMjYOFYO6IBPvrxadaw5fJZtpy9x6c5DYuITOPhTLyxNjd9bH0XOsGL/KRbvOkpYVDQF8+VlYKs6+Lm7pBu/8/RFZv7xJ/fDIsjvYMP3TWpSuaiXZvueM5dZffA0l24/IDLmOSuGdMHH1VGrjvjEJCat2cWO0xdJSEqigq8nQ1rXxdbS/L31U4gP6eNMo4X4v7p16xIaGkpoaCh79uxBX1+fBg0aZHezPjrb/7rEz+v30b1uRVb070AhF3u+nrmKsGcxOuPPXr/HoMV/0KS8HysHdKR6MW96z1/PlfuPNTHP4xMp6eFC78+rpnvcuIQkKvgWoPOnn7zzPomcacepC0xau4vu9Svz+5AuFMyXl2+m/87TqHSutWt3GLxgPY0rlGDFkK5UL16IPrNXcfXeI03M84QESnq68n3jGuke9+fVOznw9xUmdmlKUJ/2PI58Rt85a955/4TILpJQilwvJSWFwMBAChQogImJCcWLF2fNmtRf1Ddv3qR69eoA5MmTB5VKRceOHTX7GhkZ4ejoiKOjIyVKlGDQoEHcuXOHx48f6zoUixYt0hrlBNiwYQOqV1Ybbty4EX9/f4yNjfHw8CAgIICkpKR31+n/mKX7TtG0QjEaf+KHp5MdQ1vWwdjQgA3H/tYZv+zPU1TwLUDHmuXwcLTlu/qV8c2XlxUH/9LENCxbhB71KlKukHu6x21XvTSda39CMXfnd90lkUMt3XOcphVL0rhCCTyd7Bna+rPUa+3oWZ3xy/edpEJhTzp+Wh4PJzu+/bwavq5OrPjzlCamQblidK9fhXK+BXTW8ex5HOuPnOWH5rUp61OAwm5OBLRvSPD1u5y7fvd9dPOjoKjUOfb1Mfo4ey3+UwIDA1myZAmzZ8/mwoUL9OnTh3bt2vHnn3/i6urK2rVrAQgJCSE0NJRp06bprCc6OprffvsNLy8vbG1t37o9Bw8epH379nz//fdcvHiROXPmsGjRIsaOHfvWdf6XJSYlc+nOAz55KfFTq1V8UsiNczfu69zn3M37fFLQXausgm+BdOOFgP9fa7dDKefzb+KnVqso5+POuev3dO5z7vpdrXiA8oU93igRvHQrlKTkFK16Cjja4WRjSfAN3ccVIreReyhFrhYfH8+4cePYvXs35cuXB8DDw4NDhw4xZ84cqlatio2NDQAODg5pRhc3b96MuXnqPUwxMTE4OTmxefNm1Oq3/64VEBDAoEGD6NChg6Y9o0ePZsCAAYwYMeKt6/2vCo+JJTlFwdbCVKvc1sKMGw+f6tznSVQMtpZp45+kM0UuBEB49P+vNUszrXJbS3NuPgzTuc+TqGgd8WY8SWeKXHcdMRjo66W5P9fGwpywqOhM1yNETiYJpcjVrl69SmxsLLVr19YqT0hIoGTJkq/dv3r16syaNQuA8PBwZs6cSb169Thx4gRubm5v1abg4GAOHz6sNSKZnJxMXFwcsbGxmJqaptknPj6e+Ph4rTIlIREjQ4O3aoMQQvznyYPNcxRJKEWuFh2d+u1+y5YtuLhor9I0MjJ67f5mZmZ4ef27WnP+/PlYWVkxb948xowZkyZerVajKIpWWWJiYpo2BQQE0LRp0zT7GxvrXkEcGBhIQECAVtmPbRsy9MtGr+1DbpfHzBQ9tYqwZ7Fa5WHPYrCzMNO5j52lGWFRmY8XAiCP+f+vtVdGF8OiorFLZ7W1naW5jvgY7Cwzf63ZWZqRmJRMVGyc1ijl02fRsspb/GfIPZQiVytcuDBGRkbcvn0bLy8vrZerqysAhoaGQOoo4euoVCrUajXPnz/Xud3e3p5nz54RE/PvPzCvPqPS39+fkJCQNO3x8vJKdyp98ODBREZGar36t/osM6cg1zPQ18PX1ZHj/9zSlKWkKBwPuUWxAroXyxRzd9aKBzh2+Wa68ULA/6+1/E6cCLmhKUtJUTgRcpNiHrofG1TMIx8nQm5qlR27fINiHvkyfVxfNyf09dScuPzvcW8+CCP0aRTFC6T/uCIhchMZoRS5moWFBf369aNPnz6kpKRQqVIlIiMjOXz4MJaWlnTo0AE3NzdUKhWbN2/ms88+w8TERHPfZHx8PA8ePABSp7xnzJhBdHQ0DRs21Hm8cuXKYWpqypAhQ+jVqxfHjx9n0aJFWjHDhw+nQYMG5M+fn+bNm6NWqwkODub8+fM6Rz0hdTT11RHVuI9ouvvL6qUZ9ttWirg6UtTNid/2n+J5QiKNy/kB8OPSLThYmfP9/x8B1LZqaTpP/53Fe09QpYgn209f4sKdBwz7oo6mzsiY54SGR/E4MnUU++aj1Psx7SzNNKNRT6KieRIVw53H4QBcDX2MqZEhTnkssTIz+WD9Fx/OlzXLMWzxJgrnd6KouwvL9h7neXwijcoXB2Dooo04WFvQ6/+PAGpTvQxdJi9lye5jVC7qxfZTF7h46z7D2/z7hS8y5jmhTyM119qt/9+PaWdpjp2VORYmxjSpUIJJa3dhZWaCmbERP63aQTGPfG+UmAptH+tq6pxKEkqRK6WkpKCvn3r5jh49Gnt7ewIDA7l+/TrW1tb4+/szZMgQAFxcXDQLZTp16kT79u01SeD27dtxckp9eLaFhQU+Pj6sXr2aatWq6TyujY0Nv/32G/3792fevHnUrFmTkSNH0q1bN01MnTp12Lx5M6NGjWL8+PEYGBjg4+NDly5d3t8JyeXq+vsSHv2cmVsP8SQqhkL5HJj5dQvNYogH4VGoX7pfqoSHC4EdGjBjy0F++eMg+R3yMLVLE7yd7TUx+89fZfiybZqfBy76A4AedSvw9WeVAFh96Cyztx/RxHSa9jsAo9rWo9H/k1nx31KndBHCo2OZtfnP/19reZnZs7Vm6jn0aaTWY8BKeLoy7qvG/LppP79s3Ed+exum9GiJl4uDJmb/uX8YseQPzc8Dg9YD0L1+Zb5ukPolqF+LT1GpVPwwdw0JSclUKOzBkC/qfYguC/FBqJRXbwgTIheoW7cuXl5ezJgxI7ub8t7E7QjK7iaIj4RiYJjdTRAfCZMaX76zup6d2PLO6nrXLMrWz+4mfHAyQilylfDwcA4fPsz+/fvp0aNHdjdHCCFEdpFV3jmKJJQiV/nqq684efIkP/zwA40a/fdXQAshhBC5gSSUIldZv359djdBCCGEEK+QhFIIIYQQuY+s8s5R5N0QQgghhBBZIgmlEEIIIYTIEpnyFkIIIUSuo8gq7xxFRiiFEEIIIUSWSEIphBBCCCGyRKa8hRBCCJH7yCrvHEXeDSGEEEIIkSWSUAohhBBCiCyRhFIIIYQQQmSJJJRCCCGEECJLJKEUQgghhBBZIqu8hRBCCJHrKMiDzXMSGaEUQgghhBBZIgmlEEIIIYTIEpnyFkIIIUSuo8iDzXMUeTeEEEIIIUSWSEIphBBCCCGyRKa8hRBCCJH7yJR3jiIJpRA5VISbf3Y3QXwkbiie2d0E8ZEon90NEO+NpPdCCCGEECJLZIRSCCGEELmOopIHm+ckMkIphBBCCCGyRBJKIYQQQgiRJTLlLYQQQohcRx5snrPIuyGEEEIIIbJEEkohhBBCCJElMuUthBBCiNxHVnnnKDJCKYQQQgghskQSSiGEEEIIkSUy5S2EEEKIXEdWeecs8m4IIYQQQogskYRSCCGEEEJkiUx5CyGEECLXUZBV3jmJjFAKIYQQQogskYRSCCGEEEJkiUx5CyGEECLXkVXeOYu8G0IIIYQQIkskoRRCCCGEEFkiU95CCCGEyH3kb3nnKDJCKd7IyJEjKVGiRLYdv2PHjjRu3Pid1+vu7s7UqVPfeb1CCCHEx0BGKD8CHTt2ZPHixQDo6+tjY2NDsWLFaN26NR07dkStfvvvFR07diQiIoINGza8o9ZC9+7dmT9/PitWrKBFixZa26ZNm4aiKG9c58iRI9mwYQNnz57Vuf3kyZOYmZm9TXPFO7R+yw5WbPiDp+GReLrn5/tunfAt6JVu/L7Dx1iwbBUPHj3GxdmRHu3b8EnpkprtiqKwYPlqNu/aS3RMDH4+hej7dWfyOTtpYgaPmcjVGzeJiIzC3NyMUsWL0qN9G+xsbd5rX0X2UhSF9b/P4c9dG4iNicbbpxjtewzC0Tl/hvvt3rqKbet/IzIijPzu3rTr2h+PgkU02xMS4lmxcCrHD+0iKTGBoiU+oX2PgVhZ22rVc3DPH+zYtJwH929jYmpGmQo1ad994HvpqxAfgoxQfiTq1q1LaGgoN2/eZNu2bVSvXp3vv/+eBg0akJSUlN3N04iNjWXFihUMGDCABQsWpNluZWWFtbV1uvsnJCS81XHt7e0xNTV9q33Fu7H34BF+XbCUDq2aM29yIJ4F3Og3MpDwiEid8ecvhTD65+l8Vqs686b8ROVypfkx8Geu37qjifl93SbWbdnOD193YfbEMRgbG9FvZCDxL10nJf0KM3JAb5bOnMzogX24H/qQ4eOnvPf+iuy1df0Sdm1eSYcegxk+YSFGxiZMCuhJQkJ8uvscP7STFQum0viLLgRMXoqruzc/B/QkKuKpJub3BVM4e/Ig3/YPZPCYOUSEP+GXnwZo1bN94zLWLptF/aYdGDd9JQMCfsWv5Cfvra9CfAiSUH4kjIyMcHR0xMXFBX9/f4YMGcLGjRvZtm0bixYt0sRFRETQpUsX7O3tsbS0pEaNGgQHB+usc+TIkSxevJiNGzeiUqlQqVTs378fgIEDB1KwYEFMTU3x8PBg2LBhJCYmvradq1evpnDhwgwaNIgDBw5w584dre2vTnlXq1aN7777jt69e2NnZ0edOnXe+NxA2ilvlUrF/PnzadKkCaampnh7e7Np0yatfc6fP0+9evUwNzcnb968fPnllzx58kSzfc2aNfj5+WFiYoKtrS21atUiJibmrdr3MVi1cQsNPq3BZ7Wq4Z4/Hz983QVjI0O27t6vM37NH9so61+c1k0b4u7qQue2rSjoUYD1W3YAqSNQq//YxpctmlCpXGk83d0Y0vtbwp6Gc+jYKU09LRvVp0ghbxwd7CnqW4i2zRpx8Z+rOeqLlni3FEVh5x+/83nLr/AvVxVXd2+6fh9A+NMn/HX8z3T327FxOVU/bUzlmp/j4upBh68HY2hkzIE9qb8bYmOiObB7I62/6kPhYmVw9/Klc8/hXL18jqshfwMQEx3FumWz6Pb9SMpXrYuDUz5c3b0pWbbqB+m7EO+LJJQfsRo1alC8eHHWrVunKWvRogWPHj1i27ZtnD59Gn9/f2rWrMnTp0/T7N+vXz9atmypGf0MDQ2lQoUKAFhYWLBo0SIuXrzItGnTmDdvHlOmvH7UJygoiHbt2mFlZUW9evW0kt30LF68GENDQw4fPszs2bMzfwJeIyAggJYtW3Lu3Dk+++wz2rZtqzkPERER1KhRg5IlS3Lq1Cm2b9/Ow4cPadmyJQChoaG0bt2ar776ikuXLrF//36aNm36VtP1H4PExCT+uXaDUsX9NGVqtZpSxf24EPKPzn0uhFzRigcoU7K4Jj704SOehkdoxZibmeJb0CvdOqOeRbPrz0MU9SmIvr7cEfRf9fjhPSLDwyhcrKymzNTMHM+CRbgWck7nPkmJidy8dllrH7VaTZHiZbn2/2Tx5rVLJCclacU453PH1t5RE3Ph7HFSFIXwp48Z/F0L+nSuz68TBhP2+MH76KoQH4z8xvzI+fj4cO5c6i/QQ4cOceLECR49eoSRkREAP//8Mxs2bGDNmjV069ZNa19zc3NMTEyIj4/H0dFRa9vQoUM1/+/u7k6/fv00U9npuXLlCseOHdMkuO3ataNv374MHToUVQar+by9vZkwYcKbdTwTOnbsSOvWrQEYN24c06dP58SJE9StW5cZM2ZQsmRJxo0bp4lfsGABrq6u/PPPP0RHR5OUlETTpk1xc3MDwM/PT+dxBERGRZGckkIeayut8jzWVty+e0/nPk8jInTGPw1PnSJ/Gh4BgI3OmAitstmLl7F+y07i4uMpXMibn4amf52K3C8yIgwgzX2Nlla2RIaH6dzn2bMIUlKSsbK2eWUfG0Lv3kytNzwMfX0DzMwttGOsbTT1Pnp4D0VJ4Y81C2nb5QdMTM1Zt2wWE0d+x5ipv6NvYPAuuvhRUGRMLEeRd+MjpyiKJlkLDg4mOjoaW1tbzM3NNa8bN25w7dq1N6p35cqVVKxYEUdHR8zNzRk6dCi3b9/OcJ8FCxZQp04d7OzsAPjss8+IjIxk7969Ge5XqlSpN2pbZhUrVkzz/2ZmZlhaWvLo0SMg9Vzt27dP6zz5+PgAcO3aNYoXL07NmjXx8/OjRYsWzJs3j/Dw8HSPFR8fT1RUlNYr/i3vBxVv7osmDZk/JZCfA4agp1YzbupMGU3+Dzny5za6f1FF80rOxtsZlBSF5KQk2nXph1/J8ngV8qPHD2N5GHqHS+dPvb4CIXIoGaH8yF26dIkCBQoAEB0djZOTk+Y+yJdltBDmVUePHqVt27YEBARQp04drKysWLFiBZMmTUp3n+TkZBYvXsyDBw+0phqTk5NZsGABNWvWTHff97U62+CVkQKVSkVKSgqQeq4aNmzI+PHj0+zn5OSEnp4eu3bt4siRI+zcuZNffvmFH3/8kePHj2vO98sCAwMJCAjQKvvh2270+67HO+xRzmVlaYmeWp1mAU54RCQ2eax17mNjbZ1OfOqI5Iv9nkZEYmuTRyvGq4Cb1n7WlpZYW1ri6uKMWz4XWnT+lgshVyjqUzCLPRM5QcmyVfAsWFTzc1Ji6pe1yIgwrG3sNOVRkWHkL6D7PbewsEat1iMyQvv2n6jIp1jlSR3ptMpjS1JSIjHRz7RGKaMi/o2xtkn9r7Prv78HLK3yYGFhLdPeIleTEcqP2N69e/n7779p1qwZAP7+/pqEzsvLS+v1YtTwVYaGhiQnJ2uVHTlyBDc3N3788UdKly6Nt7c3t27dyrAtW7du5dmzZ5w5c4azZ89qXr///jvr1q0jIiLinfT5XfH39+fChQu4u7unOVcvElyVSkXFihUJCAjgzJkzGBoasn79ep31DR48mMjISK1Xz25ffcguZSsDA30Kehbg9LnzmrKUlBT+OneeIoV0/wNfpJC3VjzAqbPnNPFOeR2wyWPNXy/FxMTGcumfq+nWCWhGJjOziEzkDiYmZuR1ctW8nF09sMpjy8VzJzUxz2OjufbPBTwLFdNZh76BAe6ePlr7pKSkcPHcSTwLpd7O4u7pi56+vlZM6L2bhD1+oInx9ikOwIN7//5OjH4WybNnEdjZ//s4K/F6ikqVY18fIxmh/EjEx8fz4MEDkpOTefjwIdu3bycwMJAGDRrQvn17AGrVqkX58uVp3LgxEyZMoGDBgty/f58tW7bQpEkTSpcunaZed3d3duzYQUhICLa2tlhZWeHt7c3t27dZsWIFZcqUYcuWLekmUi8EBQVRv359ihcvrlVeuHBh+vTpw7Jly/j222+zdA6eP3+e5jmUFhYWeHp6vnFd3377LfPmzaN169YMGDAAGxsbrl69yooVK5g/fz6nTp1iz549fPrppzg4OHD8+HEeP36Mr6+vzvqMjIw0962+EGto+Mbtys1aNqpP4LRZ+Hh54OPtxZo/tvI8Lp56tVJXv46d8iv2tjZ0a596X2vzhvXo9eMoVm7YzCelS7L34BFCrl2n37ep9/qqVCpaNKzHklXryefkiGNeBxb8j737joriasMA/iy9d6RJl6qIIvauKNhiixo/jZpg7y2WWDFRY8GoUaNRFI0F1Nhir1iQ2MGGqChiAZXe6+73B3F1ZUHIoiz6/M6Zk+zMvXfuLCO8+957Z7fvhKGBPpo1KrqX70Y9wL2H0XBzcYa2liZexL9EwLadsDA1QU1mJz9bAoEA7bv0xd+7NsLU3BJG1SywZ/ta6BsYwaPh29XWi2aNQL1GreHVqWixnXfX/2H9Cj/Y1nCBnUNNHP97B3JzstG8bRcARQt7Wnh1RdCmX6GlrQN1dU1sXb8ENZzcUOPfgNLUwhp1G7TEtgB/DBr5I9TVNbHrz9Uws7CGs1vx37FEVQUDyi/E0aNHYWZmBiUlJejr68Pd3R0rV67EwIEDxQ82FwgEOHz4MGbMmIHvvvsOr1+/hqmpKVq0aAETExOp7Q4ZMgQhISHw9PRERkYGzpw5g6+++goTJkzA6NGjkZubi06dOmHWrFmYO3eu1DZevnyJQ4cOYfv27cWOKSgooHv37ggICJA5oLx//z7q1q0rsa9t27Y4efJkudsyNzdHaGgopk6divbt2yM3NxfW1tbw8fGBgoICdHR0cO7cOSxfvhxpaWmwtraGv78/OnToINM1fM7aNG+ClLQ0bNy+C0nJKahha40lc6bB4N/pFq8SEqCg8PaTfy0XJ8yaNAYBW4Ox/s8gVDc3xfzpk2FnbSku07fHV8jOycXSNeuRkZkFNxcnLJkzDar/Buuqqqo4F3YFm3bsRk5OLgz09dDAwx0DeveAChdHfNY6dh+A3JxsbFqzAFmZGXB0ccek2SuhovL2g92r+OdIT0sRv27YrD3SU1Owd8c6pCYXDY9PmrNSYnFP3+8nQCAQYNWiqcjPz4Nb3Ub49r0Hlg8dPxfbA37Frz9NgEBBAc4162LS7JV8sgBVaQIRZ54TyaX4ezcquwv0hXgsKn+Wnui/aOyiU2FtyfPvSFPnuh8u9JnhHEoiIiIikgkDSiIiIiKSCSdsEBERUZUjwpe5mlpeMUNJRERERDJhQElEREREMuGQNxEREVU5IgFzYvKEPw0iIiIikgkDSiIiIiKSCYe8iYiIqMr5Ur8zW14xQ0lEREREMmFASUREREQy4ZA3ERERVTl8sLl8YYaSiIiIiGTCgJKIiIiIZMIhbyIiIqpy+GBz+cKfBhERERHJhAElEREREcmEQ95ERERU5XCVt3xhhpKIiIiIZMKAkoiIiIhkwoCSiIiIiGTCgJKIiIiIZMJFOURy6kZ2rcruAn0hdFRzK7sLRFTFMaAkIiKiKocPNpcv/GkQERERkUwYUBIRERGRTDjkTURERFUOH2wuX5ihJCIiIiKZMKAkIiIiIplwyJuIiIiqHK7yli/8aRARERFVotWrV8PGxgZqampo2LAhLl++XGr5Xbt2wdnZGWpqanBzc8Phw4cljotEIsyePRtmZmZQV1eHl5cXHjx48DEvgQElERERUWUJDg7GxIkTMWfOHFy/fh3u7u7w9vbGq1evpJa/ePEi+vbtC19fX9y4cQPdunVDt27dcPv2bXGZxYsXY+XKlVi7di0uXboETU1NeHt7Iycn56Ndh0AkEok+WutE9J8duZFf2V2gLwS/KYc+laauWhXW1qPo6Aprq6LZ2duXuWzDhg1Rv359rFq1CgAgFAphaWmJMWPGYNq0acXK9+nTB5mZmTh48KB4X6NGjVCnTh2sXbsWIpEI5ubmmDRpEiZPngwASE1NhYmJCQIDA/HNN9/IeHXSMUNJREREVAny8vJw7do1eHl5ifcpKCjAy8sLYWFhUuuEhYVJlAcAb29vcfnHjx8jPj5eooyuri4aNmxYYpsVgYtyiIiIiCpQbm4ucnMlM/+qqqpQVVWV2JeQkIDCwkKYmJhI7DcxMcG9e/ekth0fHy+1fHx8vPj4m30llfkYmKEkIiKiKkckEMjttnDhQujq6kpsCxcurOy37KNihpKIiIioAk2fPh0TJ06U2Pd+dhIAjIyMoKioiJcvX0rsf/nyJUxNTaW2bWpqWmr5N/99+fIlzMzMJMrUqVOn3NdSVsxQEhEREVUgVVVV6OjoSGzSAkoVFRXUq1cPp06dEu8TCoU4deoUGjduLLXtxo0bS5QHgBMnTojL29rawtTUVKJMWloaLl26VGKbFYEZSiIiIqpyRKLP47u8J06ciIEDB8LT0xMNGjTA8uXLkZmZie+++w4AMGDAAFhYWIiHzMeNG4eWLVvC398fnTp1QlBQEK5evYo//vgDACAQCDB+/Hj8/PPPcHBwgK2tLWbNmgVzc3N069bto10HA0oiIiKiStKnTx+8fv0as2fPRnx8POrUqYOjR4+KF9XExsZCQeHtgHKTJk2wfft2zJw5Ez/++CMcHBywb98+1KpVS1xmypQpyMzMxNChQ5GSkoJmzZrh6NGjUFNT+2jXwedQEskpPoeSPhU+h5I+lYp8DuXD6McV1lZFq2FvW9ld+OSYoSQiIqIqR8RlIHKFPw0iIiIikslnFVDOnTv3oy6J/5BBgwZ9lAmvNjY2WL58eYW3W16zZs3C0KFDP8m5KvpnKRAIsG/fvgprrzymTZuGMWPGVMq5iYiIPoVKH/IeNGgQNm/eDABQUlKCgYEBateujb59+2LQoEESE1H/S9spKSkVGkgMGzYMGzZsQFBQEHr16iVxbMWKFfgvU1Lnzp2Lffv2ITw8XOrxK1euQFNT8790t8LEx8djxYoVuHXrVrH98+fPx6FDh/D8+XNUq1YNderUwfjx49G2bdtK6q18mTx5Muzs7DBhwgTY2dlVdnfkmkgkwpFdq/HP6d3IzkyHrVNd9PKdBWMz61LrnT+2A6f/3oT01ASYWzmh53c/wrqGm/h4fl4u9m9dgusXj6AgPw/O7k3R6/uZ0NYzEpe5f+sfHN75G+KePoCKqjrqt+iKTt+MhaJipf+apI9AJBJh3461OHdyL7IyM1DD2R0Dhk2HiblVqfVOHd6Jo/u2IDUlEZY2Dug3eArsHN8uhsjPy0XQpl9x+cJxFBTkoVadxug/bBp09Qwl2rlw+gCOH9iG+BexUFfXhGcTL3w7rPj3NlPJRPg8Vnl/LuQiQ+nj44O4uDjExMTgyJEjaN26NcaNG4fOnTujoKCgsrsnlpWVhaCgIEyZMgUbN24sdlxXVxd6enol1s/Ly/tP5zU2NoaGhsZ/qltRNmzYgCZNmsDa+u0f9piYGNSrVw+nT5/GkiVLcOvWLRw9ehStW7fGqFGjKrG3n0ZZf55GRkbw9vbG77///pF7VPWdOrAR545uQ6/BszHh5+1QUVXH2oXDkJ9X8qKR6xePYN+fi+Hz9QhMXrgLFtZOWLtwGNJTE8Vl9m5ZhNvXQjBo/DKMmROI1OTX2LhsvPj48yf3sG7RCDjXaYbJv+zGwHFLcfvaGRzc/uvHvFyqREf2bsbJQ0EYMOxHzFy0Gaqq6vCfN7rUe+3yheMI3rQMX/UZijn+22Bp44hl80YjLSVJXGbHRn9EXD2HkT/8gqk/r0dK0musXvSDRDvH9m/Fnm1r0LHHIPy8Yicm+/2OWnU/3vMBiT4FuQgoVVVVYWpqCgsLC3h4eODHH3/E/v37ceTIEQQGBorLpaSkYPDgwTA2NoaOjg7atGmDiIgIqW3OnTsXmzdvxv79+yEQCCAQCBASEgIAmDp1KhwdHaGhoQE7OzvMmjUL+fkfXlG7a9cuuLq6Ytq0aTh37hyePn0qcfz9Ie9WrVph9OjRGD9+vDio+C/eH/IWCATYsGEDunfvDg0NDTg4OODAgQMSdW7fvo0OHTpAS0sLJiYm+Pbbb5GQkCA+vnv3bri5uUFdXR2Ghobw8vJCZmZmiX0ICgpCly5dJPaNHDkSAoEAly9fRs+ePeHo6IiaNWti4sSJ+Oeff8TlYmNj0bVrV2hpaUFHRwe9e/cu9pT/X375BSYmJtDW1oavry9ycnKK9WHDhg1wcXGBmpoanJ2dsWbNGvGxvLw8jB49GmZmZlBTU4O1tXWxr7lKSEgo8T0rLCyEr68vbG1toa6uDicnJ6xYsUKi/puf7/z582Fubg4nJycAwNOnT9G7d2/o6enBwMAAXbt2RUxMjETdLl26ICgoqMT3l4oyRueO/In23YfCzbMNzK2d0G/UAqQmv8Ktq6dKrBdyaAsat/kaDVt1h2l1e/QaPBsqKmq4FLIXAJCdlY5LZ/ag27dT4FirISztauJ/w3/C4/vhiHlQ9PvjxsWjMLdyhE/PETA2tUIN1/r4qt8kXDgehJzskv9dUNUkEolw4uB2dOnli7oNW8HSxgGDx/khJek1rl8KKbHesQNb0aJddzRv+xUsLO0wYPiPUFFVw/lT+wEAWZnpOH9qP775biJcajeAjb0Lvh8zBw/vRSA6qmh0JzMjDXu3r8HgcfPQqEUHVDOzhKWNA+o2aPkpLp3oo5GLgFKaNm3awN3dHXv27BHv69WrF169eoUjR47g2rVr8PDwQNu2bZGUlFSs/uTJk9G7d29x9jMuLg5NmjQBAGhrayMwMBB3797FihUrsH79evz664czEQEBAejfvz90dXXRoUMHiWC3JJs3b4aKigpCQ0Oxdu3asr8BH+Dn54fevXvj5s2b6NixI/r16yd+H1JSUtCmTRvUrVsXV69exdGjR/Hy5Uv07t0bABAXF4e+ffvi+++/R2RkJEJCQtCjR48Sh+uTkpJw9+5deHp6Suw7evQoRo0aJXU4/k2mVigUomvXrkhKSsLZs2dx4sQJPHr0CH369BGX3blzJ+bOnYsFCxbg6tWrMDMzkwgWAWDbtm2YPXs25s+fj8jISCxYsACzZs0ST5dYuXIlDhw4gJ07dyIqKgrbtm2DjY1Nmd8zoVCI6tWrY9euXbh79y5mz56NH3/8ETt37pRo49SpU4iKisKJEydw8OBB5Ofnw9vbG9ra2jh//jxCQ0OhpaUFHx8fiQxmgwYN8OzZs2KBJr2V+OoZ0lIS4Oj2NlOjrqEN6xq1EXNf+gfHgoJ8PHt8F45ujcT7FBQU4OjWSFzn6aO7KCwskChjYmEHfSMzcZmCgnwoK0t+i4Wyiiry83Px9NGdCrtGkg+vXz5HanIiXN0bivdpaGrDzqEWoqNuSq1TkJ+PJ9H34OreQLxPQUEBrrUbiIPFJ9GRKCwokGjXrLotDI1Nxe3eifgHQpEIyYmvMGN0T0wa3AFrlkxFUkL8x7jUz5oIArndvkRyPTnI2dkZN28W/SO8cOECLl++jFevXom/vmjp0qXYt28fdu/eXWyxiJaWFtTV1ZGbm1vs+zBnzpwp/n8bGxtMnjxZPJRdkgcPHuCff/4RB7j9+/fHxIkTMXPmTAgEJd88Dg4OWLx4cfkuvAwGDRqEvn37AgAWLFiAlStX4vLly/Dx8cGqVatQt25dLFiwQFx+48aNsLS0xP3795GRkYGCggL06NFDPITt5uYm9TxAUYZRJBLB3NxcvO/hw4cQiURwdnYutZ+nTp3CrVu38PjxY1haWgIAtmzZgpo1a+LKlSuoX78+li9fDl9fX/j6+gIAfv75Z5w8eVIiSzlnzhz4+/ujR48eAIq+Wuru3btYt24dBg4ciNjYWDg4OKBZs2YQCAQSQ/Nlec+UlZXh5+cnLmtra4uwsDDs3LlTHIgDgKamJjZs2AAVFRUAwNatWyEUCrFhwwbxfbBp0ybo6ekhJCQE7du3BwDxe/fkyZNigS4VSU8pyqBr60rONdPWNURaSoK0KshMS4ZQWCi1zsvnj8XtKiopQ0NTp8R2nWs3wdnDf+Ja6GHUbeyNtJQEHPur6ANgSeemqistpWg6hI6ugcR+HT0DpKYkSquC9PQUCIWF0HnvXtPRM0Tc8xgAQGpKIpSUlKGhqS1ZRtdQ3O7r+OcQiYQ49NdG/M93MtQ1tLFn+xosnTsS834NhpKyckVcItEnJ7cZSqBoWOLNH+mIiAhkZGTA0NAQWlpa4u3x48eIjo4uV7vBwcFo2rQpTE1NoaWlhZkzZyI2NrbUOhs3boS3tzeMjIom8Xfs2BGpqak4ffp0qfXq1atXrr6VVe3atcX/r6mpCR0dHbx69QpA0Xt15swZiffpTeAXHR0Nd3d3tG3bFm5ubujVqxfWr1+P5OTkEs+VnZ0NABJP2C/r4qPIyEhYWlqKg0kAcHV1hZ6eHiIjI8VlGjZsKFHv3e8bzczMRHR0NHx9fSWu6eeffxb/7AcNGoTw8HA4OTlh7NixOH78eLneMwBYvXo16tWrB2NjY2hpaeGPP/4odl+4ubmJg0mg6L1++PAhtLW1xf0yMDBATk6OxH2prq4OoGgerjS5ublIS0uT2Eqby/U5uHrhIKYMrC/eCgsrb760s3tTfNV/EnZtmIfJ/T2wYEJnuNZtDgClfmCkqiHs7GGM6NtMvBVW4tx8kUiEwoIC/G/wD6hVtwnsndwwbOICvIx7inu3r1Rav4hkJdcZysjISNjaFj1tPiMjA2ZmZuJ5kO8qbSHM+8LCwtCvXz/4+fnB29sburq6CAoKgr+/f4l1CgsLsXnzZsTHx0NJSUli/8aNG0tdzfyxVmcrv/cpViAQQCgUAih6r7p06YJFixYVq2dmZgZFRUWcOHECFy9exPHjx/Hbb79hxowZuHTpkvj9ftebIDo5ORnGxsYAijKvAoEA9+7dq+hLKyYjIwMAsH79+mKBp6KiIgDAw8MDjx8/xpEjR3Dy5En07t0bXl5e2L17t7hsae9ZUFAQJk+eDH9/fzRu3Bja2tpYsmQJLl26JFHn/Z9nRkYG6tWrh23bthXr95v3CoB4aP3dfe9auHChRIYUAP43dCb6D58ttfznoFa91rCu8TbIL8gvmiKQnpoIXf2371N6aiIsrJ2ktqGpow8FBUWJBThv6uj8u4JbW88IhQX5yMpMk8hSvlsGAFp3GohWHQcgLfk11LV0kPT6OQ7uWA4jk+qyXyxVqjoNWsLO8e0ozJt7LS01CXoGb++1tJQkWNk6Sm1DW1sPCgqKSHvvXktLSYTuv/eRrp4hCgrykZWZLpGlTEtNFK/y1tUvKmte/e0TH3R09aGtrYfE1xz2Lo8vdWhZXsltQHn69GncunULEyZMAFAUMLwJ6Mo6ZKiiooLCwkKJfRcvXoS1tTVmzJgh3vfkyZNS2zl8+DDS09Nx48YNcQADFC18+e6775CSklKuoPZj8/DwwF9//QUbGxuJAPhdAoEATZs2RdOmTTF79mxYW1tj7969mDhxYrGy9vb20NHRwd27d+HoWPTL1sDAAN7e3li9ejXGjh1bLNB68564uLjg6dOnePr0qThLeffuXaSkpMDV1RUA4OLigkuXLmHAgAHi+u8u6jExMYG5uTkePXqEfv36lXjdOjo66NOnD/r06YOvv/4aPj4+SEpKgoGBQYl13ggNDUWTJk0wcuRI8b6yZL49PDwQHByMatWqQUdHp8Ryt2/fhrKyMmrWrCn1+PTp04u99yGRcj2AIDM1dU2oqb+9b0QiEXT0jPDg9j+oblOUUc/JysCThzfRtF1vqW0oKSmjuq0rHty+hNr1iz7YCYVC3L99Cc29i6Y3WNq5QlFRCQ9uX4J7w3YAgJcvHiM5IQ42ju4S7QkEAugaVAMAXA89Aj1DU1S3da3YC6dPTl1dE+rv3Wu6+oa4e/MyrGyLPqxkZ2Xg0YPbaO3ztdQ2lJSVYW3vjMibV+DRsDWAonst8tYVtOlQdH9a27tAUUkJd29ehmfjovsx7nkMEl/Hw96p6MOTg3PRPRf/4gkMjIq+qzkjPRXp6SkwrGb2Ea6e6NOQi79Yubm5iI+Px/Pnz3H9+nUsWLAAXbt2RefOncVBhpeXFxo3boxu3brh+PHjiImJwcWLFzFjxgxcvXpVars2Nja4efMmoqKikJCQgPz8fDg4OCA2NhZBQUGIjo7GypUrsXfv3lL7FxAQgE6dOsHd3R21atUSb29W9krLTpVXdnY2wsPDJbbyDuW/MWrUKCQlJaFv3764cuUKoqOjcezYMXz33XcoLCzEpUuXxAtgYmNjsWfPHrx+/RouLi5S21NQUICXlxcuXLggsX/16tUoLCxEgwYN8Ndff+HBgweIjIzEypUrxUPWXl5ecHNzQ79+/XD9+nVcvnwZAwYMQMuWLcWLfMaNG4eNGzdi06ZNuH//PubMmYM7dyQXQvj5+WHhwoVYuXIl7t+/j1u3bmHTpk1YtmwZAGDZsmXYsWMH7t27h/v372PXrl0wNTUtc6Dv4OCAq1ev4tixY7h//z5mzZqFK1c+PPzUr18/GBkZoWvXrjh//jweP36MkJAQjB07Fs+ePROXO3/+PJo3by4e+n6fqqoqdHR0JDZlFVWpZT9XAoEALTp8i+N7/8Dtq2fwIvY+tq75Ebr61eDm+XYUYPVPvjh/dLv4datOAxB2ejcun92P+OfR2BXwE/Jys9GwZTcARQt7GrbugX1/LsaDO5fx9NEd7Ph9Jmwc3GHj8DagPP33RryIvY+4pw9x7K+1OLV/A3oMmg4FhbcfIunzIBAI0K7z/3BwVwBuXD6LZ08eYMOK2dAzMIZHw1bicktmD8epw8Hi195f9cfZE3sRevpvvHj6GH+uW4jcnGw0a/sVgKKFPc3bdkXwpmWIvHUFMdGR2PibH+ydasPeqShDamphjboNWmLHhqV4eC8Cz548RMDKOTCzsIFzLU8QVVVykaE8evQozMzMoKSkBH19fbi7u2PlypUYOHCg+MHmAoEAhw8fxowZM/Ddd9/h9evXMDU1RYsWLWBiYiK13SFDhiAkJASenp7IyMjAmTNn8NVXX2HChAkYPXo0cnNz0alTJ8yaNQtz586V2sbLly9x6NAhbN++vdgxBQUFdO/eHQEBATI/d/H+/fuoW7euxL62bdvi5MmT5W7L3NwcoaGhmDp1Ktq3b4/c3FxYW1vDx8cHCgoK0NHRwblz57B8+XKkpaXB2toa/v7+6NChQ4ltDh48GEOGDMHixYvFPxM7Oztcv34d8+fPx6RJkxAXFwdjY2PUq1dP/MxFgUCA/fv3Y8yYMWjRogUUFBTg4+OD3377Tdx2nz59EB0djSlTpiAnJwc9e/bEiBEjcOzYMYnza2hoYMmSJfjhhx+gqakJNzc3jB8/HkDRyv3FixfjwYMHUFRURP369XH48OEyPxh/2LBhuHHjBvr06QOBQIC+ffti5MiROHLkSKn1NDQ0cO7cOUydOhU9evRAeno6LCws0LZtW4mMZVBQUIn3GL3V9qvvkZebjeD1c5GdlQ47Jw8Mm7ZWIrhOePkUGelv5/x6NOmAzLRkHNm1CmkpCbCwdsawaWslHlrefcBUKCgoYNOy8SgoyIdz7Sb42neWxLkjwy/g+N71KMzPg7m1E3wn/yaeR0mfnw7dByI3Jxubf5+PrMx0OLjUwcRZv0nca6/inyE9LUX8ukGz9khPS8a+oLVITU6Epa0jJsz+TeKh5X2/nwSBQAFrFk9Bfn7Rg83ff2D54HHzsGPjMiz/eRwEAgU41fTAxNm/QUmJC3Ko6hKI/stXu9AXRyQSoWHDhpgwYYJ4pTSVzZEjRzBp0iTcvHmzxCkIUuvd+PCzUYkqgo7q570AjORHU1etCmvrXvSzDxeqJM72X97ca7kY8ib5JxAI8Mcff8jVNxdVFZmZmdi0aVO5gkkiIqKqhBlKIjnFDCV9KsxQ0qdSkRnKyOjnFdZWRXOxt6jsLnxyzFASERERkUwYUBIRERGRTDipi4iIiKockYgPNpcnzFASERERkUwYUBIRERGRTDjkTURERFUOv8tbvjBDSUREREQyYUBJRERERDLhkDcRERFVORzyli/MUBIRERGRTBhQEhEREZFMOORNREREVQ6HvOULM5REREREJBMGlEREREQkEw55ExERUZXD7/KWL8xQEhEREZFMGFASERERkUw45E1ERERVjpCrvOUKM5REREREJBMGlEREREQkEw55E8mp1s83VHYX6AshSkmu7C7Ql8L1xwprig82ly/MUBIRERGRTBhQEhEREZFMOORNREREVQ4fbC5fmKEkIiIiIpkwoCQiIiIimTCgJCIiIiKZMKAkIiIiIpkwoCQiIiIimXCVNxEREVU5fLC5fGGGkoiIiIhkwoCSiIiIiGTCIW8iIiKqcvhgc/nCDCURERERyYQBJRERERHJhEPeREREVOVwlbd8YYaSiIiIiGTCgJKIiIiIZMIhbyIiIqpyuMpbvjBDSUREREQyYUBJRERERDJhQEkVau7cuahTp47cn9/GxgbLly8XvxYIBNi3b99H6xcREVUsoRxvXyLOofwMDBo0CJs3by62/8GDB6hRo8ZHO69AIMDevXvRrVs38b7JkydjzJgxH+2cALBw4ULMnDkTv/zyC3744QeJY//1/HFxcdDX16+oLtJ/EHQhAptDriIhPQuO5kaY1r013KxMSyx/POI+Vh8Jw4vkNFgZ6WF852Zo7mIrPn7y5kPsCruJyGevkJqVg+CJ/4OzRTWJNubtOolLD57idWoGNFRV4G5jhvGdmsHWxOCjXSdVvqAr97A57DYSM7LhaGKAqT4N4GZhXGL543djsCbkBl6kZMDKQAfj2tZDc4fq4uOnIp9g1/UoRMYlITU7F0FDusDZtPg9FPHsFVaduYFbzxOgKBDAyVQfa/7XDmrK/FNMVR8zlJ8JHx8fxMXFSWy2trbFyuXl5X3UfmhpacHQ0FCmNvLz80s9vnHjRkyZMgUbN24s9/lLun5TU1OoqqqWr6NUYY7eiMLSA+cwrH0jBE34H5zMjTHij71ITM+SWj788QtM23oE3RvWRPDEfmhdyx7jN/2NB3EJ4jLZefmoa2uO8Z2alXhe1+ommNenHfZOHYDfh3aHSAQM/2MvCoVfao7h83fszmP4n7iCYS3csWNIFzia6GPk9pNIysyWWj786StM33MO3eo4IGhIF7R2ssKEnWfw8FWyuEx2fgHqWppgXFuPEs8b8ewVRm0/icZ25tj6fUds8+2EPp4uUBBwYQl9HhhQfiZUVVVhamoqsSkqKqJVq1YYPXo0xo8fDyMjI3h7ewMAzp49iwYNGkBVVRVmZmaYNm0aCgoKxO21atUKY8eOxZQpU2BgYABTU1PMnTtXfNzGxgYA0L17dwgEAvFraUPOGzZsgIuLC9TU1ODs7Iw1a9aIj8XExEAgECA4OBgtW7aEmpoatm3bVuJ1nj17FtnZ2Zg3bx7S0tJw8eJFiePvn3/QoEHo1q0b5s+fD3Nzczg5OUlt990h7zd92rNnD1q3bg0NDQ24u7sjLCxMos6FCxfQvHlzqKurw9LSEmPHjkVmZqb4+Jo1a+Dg4AA1NTWYmJjg66+/LvG6vnR/nruOHo1qoVuDmrA3NcTMnm2hpqyEfZfvSC2/7fwNNHGywaDWnrAzMcDoDk3gYlENQaER4jJdPF0wvH0jNHS0LPG8Xzd2Qz376rAw0IVL9WoY3aEx4lPS8SIprcKvkeTDn//cRY+6DuhWxwH2xnqY2akx1JQVsS/8odTy2y9HokkNCwxqUgt2xnoY1bouXMwMEHTlnrhM59r2GNbCHQ1tzUs879LjV9C3vgu+b+qGGtX0YWOkC++aNlBRUqzwa/xSiEQCud2+RAwovwCbN2+GiooKQkNDsXbtWjx//hwdO3ZE/fr1ERERgd9//x0BAQH4+eefi9XT1NTEpUuXsHjxYsybNw8nTpwAAFy5cgUAsGnTJsTFxYlfv2/btm2YPXs25s+fj8jISCxYsACzZs0qNkQ/bdo0jBs3DpGRkeKgV5qAgAD07dsXysrK6Nu3LwICAj54/adOnUJUVBROnDiBgwcPfrD8GzNmzMDkyZMRHh4OR0dH9O3bVxx0R0dHw8fHBz179sTNmzcRHByMCxcuYPTo0QCAq1evYuzYsZg3bx6ioqJw9OhRtGjRoszn/pLkFxQi8tkrNHJ4G/gpKAjQyNEKN5/ESa1z80k8Gr0XKDZxssbNGOnlyyIrNx/7r9yFhYEOTPW0/3M7JL/yCwsRGZcoEfgpCARoaGuOm89eS61z89lrNLQ1k9jX2M6ixPLSJGVm49bzBBhoqmHApsNosywYvpuP4kbsy/92IURyiBM3PhMHDx6ElpaW+HWHDh2wa9cuAICDgwMWL14sPjZjxgxYWlpi1apVEAgEcHZ2xosXLzB16lTMnj0bCgpFnzNq166NOXPmiNtYtWoVTp06hXbt2sHYuGi+kZ6eHkxNS57nNmfOHPj7+6NHjx4AAFtbW9y9exfr1q3DwIEDxeXGjx8vLlOStLQ07N69W5wp7N+/P5o3b44VK1ZIXPv7NDU1sWHDBqioqJTa/vsmT56MTp06AQD8/PxQs2ZNPHz4EM7Ozli4cCH69euH8ePHAyh6f1auXImWLVvi999/R2xsLDQ1NdG5c2doa2vD2toadevWLdf5vxTJmdkoFIpgqK0hsd9QSwOPXyVJrZOQnglDrffKa2sgoYQh8tIEh0bg14MXkJ2XDxtjfawb1gPKzBp9lpKzclEoEsFQS01iv6GmGmISUqXWScjIhqHme+W11JBQwhC5NM+SMwAAa89FYIJXPTibGODvW9EYuvU4dg/rCmtDnXJeCZH8YUD5mWjdujV+//138WtNTU3x/9erV0+ibGRkJBo3bgzBO3N3mjZtioyMDDx79gxWVlYAigLKd5mZmeHVq1dl7lNmZiaio6Ph6+uLIUOGiPcXFBRAV1dXoqynp+cH29uxYwfs7e3h7u4OAKhTpw6sra0RHBwMX1/fEuu5ubmVO5gEJK/fzKwoQ/Hq1Ss4OzsjIiICN2/elBieF4lEEAqFePz4Mdq1awdra2vY2dnBx8cHPj4+6N69OzQ0NIqdBwByc3ORm5srsU+Unw9VZeVy95vKp6OHMxo5WiEhLRObQ67jhz8PY/Po3lDlQgmqIEKRCADQ08MR3eo4AACczQxx+XE89oc/wNi29UqrTiXgd3nLF/7G/ExoamqWuKL73eCyPJTfC2YEAgGE5ViskJFR9Kl8/fr1aNiwocQxRUXJDFBZ+hgQEIA7d+5ASentbSsUCrFx48ZSA8qKuP43wfeb68/IyMCwYcMwduzYYvWsrKygoqKC69evIyQkBMePH8fs2bMxd+5cXLlyBXp6esXqLFy4EH5+fhL7ZvTtiJn/6/yf+l6V6GuqQ1FBUGwBTmJGFoy0pf/sjLQ1kZjxXvn0LBhpSw/YS6OtrgptdVVYG+ujtrUZms36HadvPUQHD+dyt0XyTV9DFYoCARIzciT2J2bmwEhLXWodIy11JGa+Vz4jB0aa0stLY/xv2/ZGkh+kbY10EZeWKa0KUZXDOZRfIBcXF4SFhUH076dmAAgNDYW2tjaqV69eSk1JysrKKCwsLPG4iYkJzM3N8ejRI9SoUUNik7YCvTS3bt3C1atXERISgvDwcPEWEhKCsLAw3Lt378ONVCAPDw/cvXu32HXVqFFDnA1VUlKCl5cXFi9ejJs3byImJganT5+W2t706dORmpoqsf3Qq+S5pJ8TZSVFuFSvhksPnor3CYUiXHrwFLWtzaTWqW1tKlEeAP65H4vaNtLLl5UIIkAE5BWUfF9T1aWsqAgXM0NcfmeurVAkwuXHcahdXfpjg2pXN8blx5Jzc/95/KLE8tKY62nBWFsdMYmSi72eJKbBTLfk6TpEVQkzlF+gkSNHYvny5RgzZgxGjx6NqKgozJkzBxMnThTPnywLGxsbnDp1Ck2bNoWqqqrU5zj6+flh7Nix0NXVhY+PD3Jzc3H16lUkJydj4sSJZT5XQEAAGjRoIHVhS/369REQEIAlS5aUuT1ZTZ06FY0aNcLo0aMxePBgaGpq4u7duzhx4gRWrVqFgwcP4tGjR2jRogX09fVx+PBhCIXCEleZq6qqFntsUc4XNNz9bQsPzAo6jpqWJqhlZYqt564jOy8f3Rq4AgBmbD+GarqaGPfvI4D6Na8L3zW7sTnkGlq42OJoeBTuPHuJWb3aittMzcpBXHIaXv+bAYr59zEvRtqaMNLRxLPEVBwLj0JjR2voa6njZUoGNp6+ClVlJTRzKd8HHqo6vm3kiln7L8DVzBC1zI2w7XIksvML0NW9aIRn5r7zqKatIR6G/l8DFwzechRbwu6guUN1HL3zGHdfJGJ2p8biNlOzcxGXmonX/2bZnyQWzcc00lKHkZY6BAIBBjauhbVnw+Foog8nUwP8HRGNmMRULP265Sd+Bz4fX+pqannFgPILZGFhgcOHD+OHH36Au7s7DAwM4Ovri5kzZ5arHX9/f0ycOBHr16+HhYUFYmJiipUZPHgwNDQ0sGTJEvzwww/Q1NSEm5ubeDFLWeTl5WHr1q2YOnWq1OM9e/aEv78/FixYUK7+y6J27do4e/YsZsyYgebNm0MkEsHe3h59+vQBULRYac+ePZg7dy5ycnLg4OCAHTt2oGbNmp+sj1WJT10nJGdmY82xMCSkZcHJwghrhnSD4b9D3vEpaVB4529HHVtzLOzvg1VHwvDb4YuwMtbD8u+6wMHMSFwm5HY0ZgefEL+euvUIAGB4+4YY4d0YKkqKuP7oBbaeC0dadg4MtTRQz84CW8b0LrZAiD4f3jVtkZyVg9/PhiMhIxtOJgZY8z8vGP47LB2Xlikxv7yOZTUs6N4Cq8/cwG9nrsPKQAe/9m6NGtXefoAOuf8Ucw6Eil9P3XMOADCshTtGtKwDAOjf0BV5BYVYeuIKUrPz4Giij7X92sHSgAty6PMgEL077klEciPn4O8fLkRUAUQpyR8uRFQB1Pv/WGFthd7NqLC2KlpT1y9vKgMzlERERFTlcJW3fOGiHCIiIiKSCQNKIiIiIpIJh7yJiIioyhFyBYhcYYaSiIiIiGTCgJKIiIiIZMKAkoiIiIhkwoCSiIiIiGTCgJKIiIiIZMJV3kRERFTl8MHm8oUZSiIiIiKSCQNKIiIiIpIJh7yJiIioyhGJOOQtT5ihJCIiIiKZMKAkIiIiIplwyJuIiIiqHBG/y1uuMENJRERERDJhQElEREREMuGQNxEREVU5Qj7YXK4wQ0lEREREMmFASUREREQy4ZA3ERERVTl8sLl8YUBJJKdEWnqV3QX6QggE/MNMRLLhkDcRERERyYQZSiIiIqpy+GBz+cIMJRERERHJhAElEREREcmEQ95ERERU5Yj4YHO5wgwlEREREcmEASURERERyYRD3kRERFTlCLnKW64wQ0lEREREMmFASUREREQy4ZA3ERERVTn8Lm/5wgwlEREREcmEASURERERyYQBJRERERHJhAElEREREcmEASURERERyYSrvImIiKjKEfHB5nKFGUoiIiIikgkDSiIiIiKSCQNKIiIiqnKEEMjt9rEkJSWhX79+0NHRgZ6eHnx9fZGRkVFqnZycHIwaNQqGhobQ0tJCz5498fLlS4kyY8eORb169aCqqoo6der8p74xoKQKERISAoFAgJSUFABAYGAg9PT0KvQcMTExEAgECA8Pr9B2K9LcuXP/8z9GIiKi0vTr1w937tzBiRMncPDgQZw7dw5Dhw4ttc6ECRPw999/Y9euXTh79ixevHiBHj16FCv3/fffo0+fPv+5b1yUQ2UWFhaGZs2awcfHB4cOHfrk57e0tERcXByMjIwqtF0bGxuMHz8e48ePL1P5hQsXYubMmfjll1/www8/SBybPHkyxowZU6H9+1IEnbmMzSdCkZiaAcfqppj6TQe42VYvsfzxa3ewZv9pvEhMgVU1Q4zr4YXmbo7i46eu38Wuc1cRGRuH1MxsBM0cBmdLM4k2cvPz4b/rOI5dvY28ggI0ca2BH//XCYY6Wh/tOqnyBV0Ix+Yz15CQnglHc2NM694abtamJZY/Hn4fq49exIukNFgZ6WF85+Zo7morPn7y5gPsungTkc9eITUrB8GT+sHZopr4eGpmDtYcC0NY1BPEJ6dBX0sDrWvZY1SHJtBWV/2o10qfj8jISBw9ehRXrlyBp6cnAOC3335Dx44dsXTpUpibmxerk5qaioCAAGzfvh1t2rQBAGzatAkuLi74559/0KhRIwDAypUrAQCvX7/GzZs3/1P/mKGkMgsICMCYMWNw7tw5vHjx4pOfX1FREaamplBSqtzPQRs3bsSUKVOwcePGYse0tLRgaGhYYt28vLyP2bUq69iV2/DffQzDOrXCjhnD4FjdBCNXbkVSmvShnPDoWEzfsBvdmnogaOZwtK7jjAm/B+Hh87fDONl5+ahbwwrjeniVeN6lO4/h3M0oLBnaCwGTvsPrlHRMXBtc4ddH8uPojSgs3X8Ow7wbIWhiPziZG2HEH3uQmJ4ltXz44xeYtvUwujeoheBJ/dDarQbGbzqAB3EJ4jLZefmoa2uB8Z2bSW3jVVoGXqdmYOJXzfHXlAGY17c9QqNiMDf4+Ee5xi+FSCS/W25uLtLS0iS23Nxcma43LCwMenp64mASALy8vKCgoIBLly5JrXPt2jXk5+fDy+vt70FnZ2dYWVkhLCxMpv68jwEllUlGRgaCg4MxYsQIdOrUCYGBgeVuY//+/fDw8ICamhrs7Ozg5+eHgoIC8fF79+6hWbNmUFNTg6urK06ePAmBQIB9+/YBKD7kXVhYCF9fX9ja2kJdXR1OTk5YsWKFxDkHDRqEbt26YenSpTAzM4OhoSFGjRqF/Px8AECrVq3w5MkTTJgwAQKBAAJB6XNfzp49i+zsbMybNw9paWm4ePGixPH3h7zfnH/+/PkwNzeHk5NTud+3L8GfJ8PQo5kHujWtC3vzapjZrzPUVJSx7+INqeW3n7qEJjVrYJB3U9iZGWNU1zZwsTJDUMhlcZnOjdwxrHMrNHS2k9pGenYO9oZex6Re3mjgbAdXa3P4DeqKiOinuPno6Ue5Tqp8f569jh6NaqFbg5qwNzXEzK+9oKashH2Xb0stv+38DTRxtsGgNp6wMzHE6A5N4GJRDUEXwsVluni6Yrh3IzR0tJLahoOZEZZ91wWtatrD0kgPDR2sMKZDU5y98xgFhcKPcZlUyRYuXAhdXV2JbeHChTK1GR8fj2rVqknsU1JSgoGBAeLj40uso6KiUmwKmomJSYl1/isGlFQmO3fuhLOzM5ycnNC/f39s3LgRonI8BOz8+fMYMGAAxo0bh7t372LdunUIDAzE/PnzARQFh926dYOGhgYuXbqEP/74AzNmzCi1TaFQiOrVq2PXrl24e/cuZs+ejR9//BE7d+6UKHfmzBlER0fjzJkz2Lx5MwIDA8UB8Z49e1C9enXMmzcPcXFxiIuLK/WcAQEB6Nu3L5SVldG3b18EBAR88NpPnTqFqKgo8ZwXkpRfUIDI2Bdo6PI28FNQUEBDZzvcfPRMap2bj54WCxQbu9Yosbw0kU9eoKBQKHFeW1NjmBnoIqIc7VDVkV9QiMhnL9HoncBPQUGARo5WuBkj/d/+zZg4NHKQDBSbOFuXWL6sMnJyoaWmAiVF/hn+HE2fPh2pqakS2/Tp06WWnTZtmjihUdJ27969T3wF5cc5lFQmAQEB6N+/PwDAx8cHqampOHv2LFq1alWm+n5+fpg2bRoGDhwIALCzs8NPP/2EKVOmYM6cOThx4gSio6MREhICU9OiuUzz589Hu3btSmxTWVkZfn5+4te2trYICwvDzp070bt3b/F+fX19rFq1CoqKinB2dkanTp1w6tQpDBkyBAYGBlBUVIS2trb4vCVJS0vD7t27xcME/fv3R/PmzbFixQpoaZU8505TUxMbNmyAiorKh9+oL1ByRhYKhSIYaku+h4Y6moiJT5BaJyEto9g8R0MdTSSklr7a8f02lJUUoaOhLrHfQEcTieVoh6qO5Mzsf+81DYn9htoaePwqWWqdhPRMKeU1kVDCEHmZ+pGRjT9OXELPxm7/uQ0CRKKPt5paVqqqqlBVLdv82EmTJmHQoEGllrGzs4OpqSlevXolsb+goABJSUkl/v0yNTVFXl4eUlJSJLKUL1++/ODfvPJiQEkfFBUVhcuXL2Pv3r0AilLsffr0QUBAQJkDyoiICISGhoozkkBRVjInJwdZWVmIioqCpaWlxA3eoEGDD7a7evVqbNy4EbGxscjOzkZeXl6xVdY1a9aEoqKi+LWZmRlu3bpVpn6/a8eOHbC3t4e7uzsAoE6dOrC2tkZwcDB8fX1LrOfm5vbBYDI3N7fY/BphXj5UVZTL3U8ikl8ZObkYvWEf7EwMMdy7UWV3h+SAsbExjI2NP1iucePGSElJwbVr11CvXj0AwOnTpyEUCtGwYUOpderVqwdlZWWcOnUKPXv2BFD0Nz02NhaNGzeuuIsAh7ypDAICAlBQUABzc3MoKSlBSUkJv//+O/766y+kpqaWqY2MjAz4+fkhPDxcvN26dQsPHjyAmpraf+pXUFAQJk+eDF9fXxw/fhzh4eH47rvvii18UVaWDMoEAgGEwvLPWwoICMCdO3fE74GSkhLu3r0rdXHOuzQ1NT/YtrT5Nku27y93H6sifS0NKCoIkJgumRVMTMuEka70zK+RjhYS08pevqQ28gsKkZaVLbE/KS0ThuVoh6oOfU31f+81yexiYnoWjN7LQr5hpK0ppXxmieVLk5mTh5F/7IWmqjJ+/a4LlN/5oEv0IS4uLvDx8cGQIUNw+fJlhIaGYvTo0fjmm2/EK7yfP38OZ2dnXL5cNJ9cV1cXvr6+mDhxIs6cOYNr167hu+++Q+PGjcUrvAHg4cOHCA8PR3x8PLKzs8V/p8uzkJQZSipVQUEBtmzZAn9/f7Rv317iWLdu3bBjxw4MHz78g+14eHggKioKNWrUkHrcyckJT58+xcuXL2FiYgIAuHLlSqlthoaGokmTJhg5cqR4X3R09Af78j4VFRUUFhaWWubWrVu4evUqQkJCYGBgIN6flJSEVq1a4d69e3B2di73ud+YPn06Jk6cKLFP+M++/9xeVaKspAQXK3NcjnyMNnVcABTNj7187xG+aS09S13bzhKX7z1Gf6+3n7D/iYxGbbuSHzP0PhdrcygpKuDyvcfw8nAFAMTEJyAuKRXu5WiHqg5lJUW4VDfBpQdP0cat6HeRUCjCpQdP8U0zd6l1atuY4dKDWPRv6SHe98/9WNS2MZNaviQZObkYsW4vVJQUscK3K1SV+edXVsIv8Lu8t23bhtGjR6Nt27ZQUFBAz549xY/8AYD8/HxERUUhK+vth6Bff/1VXDY3Nxfe3t5Ys2aNRLuDBw/G2bNnxa/r1q0LAHj8+DFsbGzK1Dfe0VSqgwcPIjk5Gb6+vtDV1ZU41rNnTwQEBJQpoJw9ezY6d+4MKysrfP3111BQUEBERARu376Nn3/+Ge3atYO9vT0GDhyIxYsXIz09HTNnzgSAEldeOzg4YMuWLTh27BhsbW3x559/4sqVK7C1tZVaviQ2NjY4d+4cvvnmG6iqqkp9zmVAQAAaNGiAFi1aFDtWv359BAQEYMmSJeU677ukzbfJ/oKGu7/1aoxZgXvhamOOWjYW2HbqH2Tn5aNrk6JfajM37UE1PR2M7V706Iv/tW2IwUsDseXERTR3c8DRK7dx98kLzO7fRdxmamYW4pJS8TolHQDwJD4RQFFm0khXG9rqauje1AP+u45BV1Mdmmqq+CXoMGrbVUdtO8tP/A7Qp/JtSw/M2nEMNS2roZaVKbaevYHsvHx0a1ATADBj+1FU09HCuH8fAdSveV34rt6FzSHX0MLFFkdvROHO05eY1evtY1hSM3MQl5KG16mZAICYf+djGmlrwkhHExk5uRi+dg9y8guwoJ8PMnPykJlTlPnR11KHogIHC6lsDAwMsH379hKP29jYFFswq6amhtWrV2P16tUl1gsJCZG5bwwoqVQBAQHw8vIqFkwCRQHl4sWLy/QQVG9vbxw8eBDz5s3DokWLoKysDGdnZwwePBhA0TMm9+3bh8GDB6N+/fqws7PDkiVL0KVLlxKHxIcNG4YbN26gT58+EAgE6Nu3L0aOHIkjR46U6xrnzZuHYcOGwd7eHrm5ucX+Mebl5WHr1q2YOnWq1Po9e/aEv78/FixYUK7z0lve9WshOSMTvx84g4S0DDhVN8Wasf3FC2/iklIlPljUsbfCgsE9sXr/afy27xSsqhng1xHfoIaFibhMSEQU5mx+O21g6obdAIBhnVtiRJfWAIDJvb0hEAgwaW0w8goK0cTVHj/+r9OnuGSqJD51nZCckY01R8OQkJYFJwtjrBnaHYbaRVNT4pPTofDuvWZrjoX9O2DVkYv47VAorIz1sPy7r+Bg9vaDZ8idaMwOevtMyal/HgYADG/fCCN8GiPy2Svcii16REvnBZsk+nN45vewMCj++5WoqhGIyvPsF6JPKDQ0FM2aNcPDhw9hb29f2d355LJDdlR2F+gLIcgs21xoIlmpdfrwiFZZ7btS+lSlytSt/pc3P5YZSpIbe/fuhZaWFhwcHPDw4UOMGzcOTZs2/SKDSSIiKh3TYfKFASXJjfT0dEydOhWxsbEwMjKCl5cX/P39K7tbRERE9AEMKEluDBgwAAMGDKjsbhAREVE5MaAkIiKiKkcE+f2mnC8Rn1VARERERDJhQElEREREMuGQNxEREVU5X+I35cgzZiiJiIiISCYMKImIiIhIJhzyJiIioiqHDzaXL8xQEhEREZFMGFASERERkUwYUBIRERGRTBhQEhEREZFMGFASERERkUy4ypuIiIiqHK7yli/MUBIRERGRTBhQEhEREZFMOORNREREVY5QJKjsLtA7mKEkIiIiIpkwoCQiIiIimXDIm4iIiKocrvKWLwwoieTUef2eld0F+kI4W0RXdhfoC2FV2R2gj4ZD3kREREQkE2YoiYiIqMrhkLd8YYaSiIiIiGTCgJKIiIiIZMIhbyIiIqpyhBzylivMUBIRERGRTBhQEhEREZFMOORNREREVY6I3+UtV5ihJCIiIiKZMKAkIiIiIplwyJuIiIiqHD7YXL4wQ0lEREREMmFASUREREQy4ZA3ERERVTl8sLl8YYaSiIiIiGTCgJKIiIiIZMIhbyIiIqpyuMpbvjBDSUREREQyYUBJRERERDLhkDcRERFVORzyli/MUFK5tWrVCuPHjxe/trGxwfLlyyutP+96v2/SxMTEQCAQIDw8HAAQEhICgUCAlJSUj94/IiKizxEzlHJq0KBBSElJwb59+yT2h4SEoHXr1khOToaenl6l9G3Pnj1QVlYWv75y5Qo0NTU/2fm9vb1x8uRJ/PPPP6hfv36pfSuLJk2aIC4uDrq6uhXZTfoPRCIRDu9cjYun/kJ2Zjpsneugz+BZqGZmXWq9c0d34NTfgUhLSYCFtRO+/n46bGq4iY/n5+Vi75YluHbxKAry8+Di3hS9B8+Ajp6RuMyTh7dxYPtyPH10FxAA1jXc0LXfRFS3cfpo10uVY//Bw9i1Zy+SklNgb2uDUcOGwNnJscTyZy+EYvPW7Yh/+QoW5mYYPGgAGtb3FB8XiUTYvG0Hjhw7gYzMTNR0ccbYkcNR3cJcXGZb8C5cvnIV0Y8fQ0lJCfuCt3/UayT61JihpHIzMDCAtra2+LWxsTE0NDQ+ybljY2Nx8eJFjB49Ghs3bvxg396Xl5dXbJ+KigpMTU0hEAgqtK9Ufif3b8TZI9vRZ8gsTFqwDaqq6lgzfxjy83JLrHPt4lHs3bIEHb4ejimLdsLC2hFr5g9DemqiuMyezYtx+9pZfD/RH+P8NiE1+RU2+E8QH8/NycKaBcOhb2SKSQu2YcK8LVBT08Sa+cNQWJD/Ua+ZPq2QcxewbsNG9O/7DX5fsQx2tjaYPtsPySWMUNyJvIcFi/3h084Lv69chqaNGmLu/F/wOOaJuEzwX3ux7++DGDdqOH7zXww1NTVMn+0n8fumoKAALZo1RecOPh/7EokqBQPKKi4xMRF9+/aFhYUFNDQ04Obmhh07doiPHzx4EHp6eigsLAQAhIeHQyAQYNq0aeIygwcPRv/+/cvUHvDhIe9ly5bBzc0NmpqasLS0xMiRI5GRkSE+HhgYCD09PRw7dgwuLi7Q0tKCj48P4uLiPni9mzZtQufOnTFixAjs2LED2dnZH+zbTz/9hAEDBkBHRwdDhw4t1ub7Q95l7d+GDRvg4uICNTU1ODs7Y82aNeJjeXl5GD16NMzMzKCmpgZra2ssXLjwg9f3JROJRAg5vBXePYaidv02sLB2wrejFyA1+TVuXjldYr0zB7egcdueaNS6O8yq26PPkNlQUVFH2Jm9AIDsrHSEnd6D7gN/gFOthrCyq4l+I3/C46hwPL4fAQB4+fwxsjJS0an3aJiY28LMsgY69BqO9NREJCV8+L6kquOvffvRwbs9fNq1hbWVJcaNGgFVVVUcO3FKavm9B/5G/Xoe6N2zO6wtLTHo236oYW+H/QcPAyi6b/fu/xv9+vRGk0YNYWdrg6kTxyExKQmhYZfE7Qzs1xc9u30FW5vSs+1EVRUDyiouJycH9erVw6FDh3D79m0MHToU3377LS5fvgwAaN68OdLT03Hjxg0AwNmzZ2FkZISQkBBxG2fPnkWrVq3K1F5ZKCgoYOXKlbhz5w42b96M06dPY8qUKRJlsrKysHTpUvz55584d+4cYmNjMXny5FLbFYlE2LRpE/r37w9nZ2fUqFEDu3fv/mB/li5dCnd3d9y4cQOzZs0q0zV8qH/btm3D7NmzMX/+fERGRmLBggWYNWsWNm/eDABYuXIlDhw4gJ07dyIqKgrbtm2DjY1Nmc79pUp89QxpKQlwqt1IvE9dQxs2NdzEgd/7Cgry8fTRXTi5va2joKAAJ7dGiPm3TuyjuygsLJAoY2phB30jM3G71cxtoKmth7DTe1BQkI+8vByEnd4LUws7GBibgz4P+fn5uP8wGh51aov3KSgowKOOO+7ei5Ja5+69KInyAODpUReR/5aPf/kSScnJqPtOGU1NTTg7OZbYJtHniHMo5djBgwehpaUlse9NpvENCwsLiUBnzJgxOHbsGHbu3IkGDRpAV1cXderUQUhICDw9PRESEoIJEybAz88PGRkZSE1NxcOHD9GyZcsytVcW72cIf/75ZwwfPlwig5efn4+1a9fC3t4eADB69GjMmzev1HZPnjyJrKwseHt7AwD69++PgIAAfPvtt6XWa9OmDSZNmiR+HRMT88Fr+FD/5syZA39/f/To0QMAYGtri7t372LdunUYOHAgYmNj4eDggGbNmkEgEMDamlmJD0lLKRqi1tY1lNivrWuItJQEqXUy05IhFBZCR++9OnqGePniMQAgPSUBSkrK0NDUKdZu+r/tqqlrYuycjVi/ZByO/rUOAGBsZoVRM9ZBUZG/Jj8XqWnpEAqF0H9v/rm+ni6ePnsmtU5yckqx+er6erpISkkGACQlp/y7r3iZ5H/L0MfB7/KWL8xQyrHWrVsjPDxcYtuwYYNEmcLCQvz0009wc3ODgYEBtLS0cOzYMcTGxorLtGzZEiEhIRCJRDh//jx69OgBFxcXXLhwAWfPnoW5uTkcHBzK3N6HnDx5Em3btoWFhQW0tbXx7bffIjExEVlZWeIyGhoa4mANAMzMzPDq1atS2924cSP69OkDJaWiP/B9+/ZFaGgooqOjS63n6elZ6nFpSutfZmYmoqOj4evrCy0tLfH2888/i/syaNAghIeHw8nJCWPHjsXx48dLPV9ubi7S0tIktrxS5g1+Dq6cP4hJ3zYQb4WFlTdXMS8vB9vXzoGdU11Mmr8NE37aAnNLB6z9ZRTy8nIqrV9ERFUFP3rLMU1NTdSoUUNi37P3PkUvWbIEK1aswPLly8XzFsePHy8xGbxVq1bYuHEjIiIioKysDGdnZ7Rq1QohISFITk4WZyfL2l5pYmJixHMc58+fDwMDA1y4cAG+vr7Iy8sTL955fyW2QCCAqJSHiiUlJWHv3r3Iz8/H77//Lt5fWFiIjRs3Yv78+SXW/S8r0Evr35v5oOvXr0fDhg0lyikqKgIAPDw88PjxYxw5cgQnT55E79694eXlVeIQ/cKFC+Hn5yexr/+wmfh2RNmG6KsiN8/WsHF4O0xYkF90j6WnJkJX31i8Pz01ERY2zlLb0NTRh4KCoji7Ka6TkijOWmrrGaGgIB9ZmWkSWcr01ERo/7vK+9qFw0h6/RwTf94KBYWiz9kDxy3C1O+a4taVM6jXtEMFXDFVNl0dbSgoKBRbgJOckgp9fX2pdfT19Yo9Uiw5JRUGekXlDfT1/t2XAkMDA4ky9ra2FdZ3InnHDGUVFxoaiq5du6J///5wd3eHnZ0d7t+/L1HmzTzKX3/9VRw8vgkoQ0JCxPMny9peaa5duwahUAh/f380atQIjo6OePHihczXuW3bNlSvXh0RERESGVt/f38EBgYWmwrwMZmYmMDc3ByPHj1CjRo1JDbbd/6A6OjooE+fPli/fj2Cg4Px119/ISkpSWqb06dPR2pqqsTWx3eK1LKfCzV1TRibWok30+r20NEzQtSttwsZsrMyEPPwFmwd3aW2oaSkDEs7V9y//baOUCjE/dv/wObfOlZ2rlBUVML9d9p9+eIxkhPixO3m5WZDIFCQWOn/5v9FImHFXTRVKmVlZTjWsMeNiJvifUKhEDcibsLVWfrjoVydnXAj/KbEvus3wuHyb3lTExMY6OtLlMnMysK9qPsltkkVQySS3+1LxAxlFefg4IDdu3fj4sWL0NfXx7Jly/Dy5Uu4urqKy+jr66N27drYtm0bVq1aBQBo0aIFevfujfz8fIkMZVnaK02NGjWQn5+P3377DV26dEFoaCjWrl0r83UGBATg66+/Rq1atST2W1paYvr06Th69Cg6deok83nKys/PD2PHjoWuri58fHyQm5uLq1evIjk5GRMnTsSyZctgZmaGunXrQkFBAbt27YKpqWmJzw5VVVWFqqqqxD4VlbJlhT8XAoEArTr2x7E961DNzAqG1SxwMGgVdPWNUbt+G3G53+YNRu0GbdDS538AgNadB2Dr6hmwsqsJ6xpuCDn8J3Jzs9GoVTcARQt7GrfpgT1blkBDSxdqGprYvXEhbB3dxQGlU+3G2Ld1GXYGzEdLn/9BJBLixL4AKCoqwaFm2eYOU9XQs1tXLP51BRwdasDJ0QF79/+NnJwceHu1BQAs8l8OI0ND+A4qmpvd/asumDRtBnbt2YeG9T0Rcu487j+MxvjRIwEU3bfdu3bB9uBdsLAwh5lJNQRu3Q5DAwM0bfx2BOPVq9dIy0jHq9cJEAqFePjoEQDAwswM6urqn/hdIKp4DCiruJkzZ+LRo0fw9vaGhoYGhg4dim7duiE1NVWiXMuWLREeHi7ORhoYGMDV1RUvX76Ek5NTudsribu7O5YtW4ZFixZh+vTpaNGiBRYuXIgBAwb852u8du0aIiIisH79+mLHdHV10bZtWwQEBHzSgHLw4MHQ0NDAkiVL8MMPP0BTUxNubm7iBUna2tpYvHgxHjx4AEVFRdSvXx+HDx8WD6eSdF5dv0debjZ2rPNDdlY67JzrYuSPa6Gs8jbYTnj5FJlpKeLX9Zr4ICMtCYd2rkZ6SgIsbJwx8se1Eg8t7zFwCgQCAQL8J6CgIB/O7k3QZ/BM8XFTCzsMm/objuxai2Uz+0MgEKC6rQtG/Pi7xPA7VX2tWjRDSmoqNm/dgeTkZNjb2WLBvDnQ/3fo+tXr1xAovM1U13RxxvQfJiLwz23YtGUrLMzNMXfGNInH//Tp2R05OTlY/tsaZGRmoparCxbOmw0VFRVxmcBt23Hi1Bnx6xFjJwIAli74Ce613z6En6iqEohKm7hGRJXmeMSXlaGkyuOsUfrCNqKKYuXgUmFtrSt9rWOlGta+snvw6TFdQkREREQyYUBJRERERDLhHEoiIiKqcjhhT74wQ0lEREREMmFASUREREQy4ZA3ERERVTkc8pYvzFASERERkUwYUBIRERGRTDjkTURERFWOkEPecoUZSiIiIiKSCQNKIiIiIpIJh7yJiIioyhHJ9TJvQWV34JNjhpKIiIiIZMKAkoiIiIhkwiFvIiIiqnLkesT7C8QMJRERERHJhAElEREREcmEQ95ERERU5QiFld0DehczlEREREQkEwaURERERCQTBpREREREJBMGlEREREQkEy7KIZJTWiq5ld0F+kJEZdlVdhfoC2FV2R2gj4YBJREREVU5fLC5fOGQNxERERHJhAElEREREcmEQ95ERERU5Qg55C1XmKEkIiIiIpkwoCQiIiIimXDIm4iIiKocrvKWL8xQEhEREZFMGFASERERkUw45E1ERERVjkiul3kLKrsDnxwzlEREREQkEwaURERERCQTDnkTERFRlSPXI95fIGYoiYiIiEgmDCiJiIiISCYc8iYiIqIqhw82ly/MUBIRERGRTBhQEhEREZFMOORNREREVY6Qy7zlCjOURERERCQTBpRUYWJiYiAQCBAeHl5qublz56JOnTofpQ8hISEQCARISUkptdygQYPQrVs38etWrVph/PjxH6VPREREnzsOeRMA4PXr15g9ezYOHTqEly9fQl9fH+7u7pg9ezaaNm1apjYsLS0RFxcHIyOjUstNnjwZY8aMEb8eNGgQUlJSsG/fvjKdJywsDM2aNYOPjw8OHTokcaxJkyaIi4uDrq5umdp6Y8+ePVBWVi5XHap4IpEI+3asw9kTe5GVmQEHZ3d8O3waTM2tSq136vBOHNn7J1JTEmFl44B+Q36AnWMt8fH8vFwEbVqOSxeOoyA/D7XqNMK3w6dBV89Qop0Lp/7GsQPbEP8iFuoamqjfxAvfDpv6Ua6VKpdIJMKhnWtw8dRfyM5Mh51zHfQZPBPVzKxLrXf2aBBO/R2ItJQEWFg7otf302FTw018PD8vF3u2LMW1i0dRkJ8HF/cm6DN4JnTeudeePLyN/duX4+mjSEAAWNdwQ7d+E1DdxumjXe/niKu85QszlAQA6NmzJ27cuIHNmzfj/v37OHDgAFq1aoXExMQyt6GoqAhTU1MoKUn/nCISiVBQUAAtLS0YGhpKLVMWAQEBGDNmDM6dO4cXL15IHFNRUYGpqSkEAoHUuoWFhRAKhcX2GxgYQFtb+z/3iSrG4b2bceJgEAYMn45ZiwOhoqaGZX5jkJ+XW2KdSxeOI2jjr+j6zRDMXbYVljaO8Pcbg7SUJHGZHRuXIfzKOYz84RdM+/kPpCQnYNUvP0i0c2z/Vvy1bQ069hiE+St34ge/NahVt9FHu1aqXCf3b8LZI9vxzZBZmLxgG1RU1bF6/vBS77VrF49i75Yl6PD1cExdFAwLayesnj8c6alvf0/+tXkxbl87C9+JSzHebxNSk19jg/8E8fHcnCysXjAC+kZmmLxgKybO2ww1NQ2snj8chQX5H/WaiT4mBpSElJQUnD9/HosWLULr1q1hbW2NBg0aYPr06fjqq6/E5QQCAX7//Xd06NAB6urqsLOzw+7du8XH3x/yfjP8fOTIEdSrVw+qqqq4cOGCxJD33LlzsXnzZuzfvx8CgQACgQAhISEl9jUjIwPBwcEYMWIEOnXqhMDAQInj7w95BwYGQk9PDwcOHICrqytUVVURGxtbrN33h7xtbGywYMECfP/999DW1oaVlRX++OMPiTpPnz5F7969oaenBwMDA3Tt2hUxMTESfWnQoAE0NTWhp6eHpk2b4smTJyX/IL5wIpEIJ/7egS69feHRsBUsbRwwZNw8JCe9xvVLISXWO75/G1q074bmbb+ChaUdBoyYDhVVNZw/dQAAkJWZgXMn9+Ob7yfAtXZ92NRwge+YOXh47yaio24BADIz0rBn2+8YMs4PjVv6oJpZdVjaOKBug5af4tLpExOJRDhzeCu8ewxB7fqtYWHtiAGj5yM1+TUirpwusd7pg1vQpG1PNG7dDWbV7fHNkFlQUVFH2Jl9AIDsrHSEnd6LHgMnw6lWQ1jZuaL/yJ/wKCocj+9HAADinz9GVkYqOvceBRNzW5hZ1kCHXkVBaVJC3Ke4fKKPggElQUtLC1paWti3bx9yc0v+dA4As2bNQs+ePREREYF+/frhm2++QWRkZKl1pk2bhl9++QWRkZGoXbu2xLHJkyejd+/e8PHxQVxcHOLi4tCkSZMS29q5cyecnZ3h5OSE/v37Y+PGjRB9YNwjKysLixYtwoYNG3Dnzh1Uq1at1PJv+Pv7w9PTEzdu3MDIkSMxYsQIREVFAQDy8/Ph7e0NbW1tnD9/HqGhodDS0oKPjw/y8vJQUFCAbt26oWXLlrh58ybCwsIwdOjQEjOnBLx++RypyYmoWbuBeJ+GphbsHWvh4b+B3/sK8vMRE30PNWs3FO9TUFCAq3sDPIy6CQCIiY5EYUGBRBmz6jYwNDYVl7kTfglCkQjJSa/w4+ivMdG3I9YsnobE1/Ef41KpkiW+eo60lAQ4136bgVbX0IZNDTfE/Bv4va+gIB9PH0XCye1tHQUFBTi5NRQHi7GP7qKwsECijKmFLfSNzPD4ftG9ZmJuA01tPVw8vQcFBfnIy8tB2Om9MLWwg4Gx+ce43M+WSCS/25eIASVBSUkJgYGB2Lx5sziT9uOPP+LmzZvFyvbq1QuDBw+Go6MjfvrpJ3h6euK3334rtf158+ahXbt2sLe3h4GBgcQxLS0tqKurQ1VVFaampjA1NYWKikqJbQUEBKB///4AAB8fH6SmpuLs2bOlnj8/Px9r1qxBkyZN4OTkBA0NjVLLv9GxY0eMHDkSNWrUwNSpU2FkZIQzZ84AAIKDgyEUCrFhwwa4ubnBxcUFmzZtQmxsLEJCQpCWlobU1FR07twZ9vb2cHFxwcCBA2FlVfpcwC9ZakrRsKHOe/MadXQNkJosfepFenoKhMJC6OhJ3le6ugZI+7dOanIilJSUoaElOaVBR+9tu69fPodIJMTB3ZvQ13cSRk1ZhMyMNCydOwoF+RyG/NykpSQAALR1Je81bV1DpKVIv9cy0pIhFBZC+/37U89Q3F5aSkLRvaapI1lG920ZNXVNjJsTgCvnD2FCv/qY9G0jRIaHYuSPa6CoyGUNVHUxoCQARXMoX7x4gQMHDsDHxwchISHw8PAoNqTcuHHjYq8/lKH09PSskD5GRUXh8uXL6Nu3L4CiQLhPnz4ICAgotZ6KikqxzGhZvFtHIBDA1NQUr169AgBERETg4cOH0NbWFmd4DQwMkJOTg+joaBgYGGDQoEHw9vZGly5dsGLFCsTFlTyclZubi7S0NIktr5S5XJ+DsLNHMPyb5uKtsKCg0voiEgpRWFCAfoN/gFvdxrB3csOwSfPxMu4pIm9frbR+UcW4cv4QJn7bULwVFlbevZaXl4Nta+fAzqkOJs/fiok/bYaZZQ38/sso5OXlVFq/iGTFj0Mkpqamhnbt2qFdu3aYNWsWBg8ejDlz5mDQoEEytaupqVkh/QsICEBBQQHMzd8OC4lEIqiqqmLVqlUlruxWV1f/T0PN76/6FggE4gU9GRkZqFevHrZt21asnrGxMQBg06ZNGDt2LI4ePYrg4GDMnDkTJ06cQKNGxRd6LFy4EH5+fhL7vh85Db6jfyx3v6uKOg1aSKzELsjPAwCkpSRCz+DtkwLSUpNgaesotQ1tbT0oKChKLMABgNTUJOjoF2WSdPUNUVCQj6yMdIksZVpKEnTflPn3fOaWtuLjOrr60NbWQxKHvas8N89WsHF4uxL7zb2WnpoIXX1j8f701MQSV1pr6ehDQUER6e9lMNNSEqGjV3T/6OgZFd1rmWkSWcq01Ldlrl44jKTXLzDp561QUCjK6QwatwhTvmuKm1fOwLNphwq44i+D8EsdW5ZTzFBSiVxdXZGZmSmx759//in22sXFRabzqKiooLCwsNQyBQUF2LJlC/z9/REeHi7eIiIiYG5ujh07dsjUh/Ly8PDAgwcPUK1aNdSoUUNiezewrVu3LqZPn46LFy+iVq1a2L59u9T2pk+fjtTUVInt26GTPtXlVAp1dU2YmFmKN3NLO+jqG+LuzSviMtlZGYi+fxs1nNyktqGkrAwbe2fcvXlZvE8oFCLy5hXUcCrKMNvYu0BRSUmiTNzzGCS+jheXcXB2BwDEP3+7aCojPRXp6SkwNDaruIumSqGmrgljUyvxZlrdHjp6Roi6dUlcJjsrAzEPb8HG0V1qG0pKyrC0c0HU7bd1hEIh7t++BNt/61jZuUJRUUmi3ZcvHiM5IQ62jkX3Wl5uDgQCBYkPuUX/L4BIVPwJFERVBTOUhMTERPTq1Qvff/89ateuDW1tbVy9ehWLFy9G165dJcru2rULnp6eaNasGbZt24bLly9/cMj5Q2xsbHDs2DFERUXB0NAQurq6xbKDBw8eRHJyMnx9fYtlInv27ImAgAAMHz5cpn6UR79+/bBkyRJ07doV8+bNQ/Xq1fHkyRPs2bMHU6ZMQX5+Pv744w989dVXMDc3R1RUFB48eIABAwZIbU9VVRWqqqoS+1RU0j/FpcgNgUCAdl364u9dATAxt4RRNQvs3f479A2M4dGwlbjc4lkj4NGoFbw69QEAtO/aDxtWzIVNDVfYOdTE8b+3IzcnG83adgFQtLCnhVdXBG36FZraulBX18TW9Utg71Qb9v8GqqYW1qjboCW2ByzFwJEzoK6uid1/roaZhQ2c3SpmygbJD4FAgNYd++Ponj9gbGYFw2oWOBS0Grr6xnCv30ZcbuW8wXBv0BYtfYqm2bTpPAB/rp4JKztX2NRww5nDW5Gbm41GrboBKFrY07hNd+zZshSaWrpQ09DCro0LYevoLg46nWs3xr6ty7AzYD5a+vwPIpEQx/dthKKiEhxrNijWV6KqggElQUtLCw0bNsSvv/6K6Oho5Ofnw9LSEkOGDMGPP0oOufr5+SEoKAgjR46EmZkZduzYAVdXV5nOP2TIEISEhMDT0xMZGRk4c+YMWrVqJVEmICAAXl5eUoe1e/bsicWLF0tdRPSxaGho4Ny5c5g6dSp69OiB9PR0WFhYoG3bttDR0UF2djbu3buHzZs3IzExEWZmZhg1ahSGDRv2yfpYFXXsPhB5OTkIXLMAWZnpcHSpg4mzV0JZ5W2w/Sr+GTLSUsSvGzZrj/TUZOzbsRapyYmwsnXExDm/STy0vO/3EyEQKGD1oinIz89DrbqNMeC9B5YPGe+HHQHLsPyn8RAoKMCppgcmzl5Z4nNVqWrz6vodcnOzsWPdPGRnpcPeuS5G/vi7xL2W8PIZMtKSxa/rNfFBRloyDu1cg/SUBFjYOGHUj79LLCTrOXAKBAIFbPCfiIKCPLi4N0WfwTPEx00tbDFs6m84smst/Gd+C4FAgOq2zhj54xqJ4XciaZKSkjBmzBj8/fffUFBQQM+ePbFixQpoaWmVWCcnJweTJk1CUFAQcnNz4e3tjTVr1sDExARA0ZqAX375BRcuXEBCQgJsbGwwfPhwjBs3rlx9E4g+9MwVon8JBALs3btX4isL6eO5GPllZSip8mTmlfxkBaKK1M5d9cOFyuinHZW3uOpDZvX9OB9EO3TogLi4OKxbtw75+fn47rvvUL9+/RKnUwHAiBEjcOjQIQQGBkJXVxejR4+GgoICQkNDAQAbN25EREQEevToAUtLS1y8eBFDhw7F4sWLMXr06DL3jQEllRkDyk+LASV9Kgwo6VNhQPnfRUZGwtXVFVeuXBE/PeXo0aPo2LEjnj17JrFg9Y3U1FQYGxtj+/bt+PrrrwEA9+7dg4uLC8LCwqQuEgWAUaNGITIyEqdPl/yg//dxUQ4RERFVOSKh/G7SHgX3oS8O+ZCwsDDo6elJPIrPy8sLCgoKuHTpktQ6165dQ35+Pry8vMT7nJ2dYWVlhbCwsBLPlZqaWuy50R/CgJLKTCQSMTtJRET0AQsXLoSurq7EtnDhQpnajI+PL/ZNb0pKSjAwMEB8vPTHm8XHx0NFRQV6enoS+01MTEqsc/HiRQQHB2Po0KHl6h8DSiIiIqIKJO1RcNOnT5dadtq0aRAIBKVu9+7d+yT9vn37Nrp27Yo5c+agffv25arL5YtERERU5cjzEhBpj4IryaRJkz74BSJ2dnYS39b2RkFBAZKSkmBqaiq1nqmpKfLy8pCSkiKRpXz58mWxOnfv3kXbtm0xdOhQzJw5s0x9fxcDSiIiIqJKYmxsLP6GtdI0btwYKSkpuHbtGurVqwcAOH36NIRCIRo2bCi1Tr169aCsrIxTp06hZ8+eAIq+xjg2Nlbiq5Tv3LmDNm3aYODAgZg/f/5/ug4OeRMRERHJORcXF/j4+GDIkCG4fPkyQkNDMXr0aHzzzTfiFd7Pnz+Hs7MzLl8u+mYwXV1d+Pr6YuLEiThz5gyuXbuG7777Do0bNxav8L59+zZat26N9u3bY+LEiYiPj0d8fDxev35drv4xQ0lERERVjvAL/KbKbdu2YfTo0Wjbtq34weYrV64UH8/Pz0dUVBSysrLE+3799Vdx2XcfbP7G7t278fr1a2zduhVbt24V77e2tkZMTEyZ+8bnUBLJKT6Hkj4VPoeSPpWKfA7lnC35FdZWRfMboPzhQp8ZDnkTERERkUw45E1ERERVDgdY5QszlEREREQkEwaURERERCQTDnkTERFRlSPkiLdcYYaSiIiIiGTCgJKIiIiIZMIhbyIiIqpyRBzzlivMUBIRERGRTBhQEhEREZFMOORNREREVQ6fay5fmKEkIiIiIpkwoCQiIiIimXDIm0hO3YvTruwu0Bci/nVhZXeBvhDt3CuuLSFXecsVZiiJiIiISCYMKImIiIhIJhzyJiIioipHxGXecoUZSiIiIiKSCQNKIiIiIpIJA0oiIiIikgkDSiIiIiKSCQNKIiIiIpIJV3kTERFRlSMSVnYP6F3MUBIRERGRTBhQEhEREZFMOORNREREVY6QDzaXK8xQEhEREZFMGFASERERkUw45E1ERERVDr/LW74wQ0lEREREMmFASUREREQy4ZA3ERERVTlCIYe85QkzlEREREQkEwaURERERCQTBpRULjY2Nli+fPlHaVsgEGDfvn0ytRESEgKBQICUlJRSyw0aNAjdunUTv27VqhXGjx8v07mJiOjTEYnkd/sScQ7lF6BVq1aoU6dOsUAwMDAQ48eP/2Dw9a4rV65AU1NT/FogEGDv3r0SwdnHFhYWhmbNmsHHxweHDh2SONakSRPExcVBV1e3XG3u2bMHysrKFdlN+g9EIhEuHFyJiAu7kJudBgs7D7T/31wYVLMptd71kG24dCIAmWmvUa26M7z6zIK5TW3x8fDzwbh75SBePr2DvJxMjPO/AjUNHaltFeTn4c/FvfDq2T0M+nEfTCxdKvISSY60qCVAHTsBVJWBZwnA0WtCJGeUXqdeDQEaOgugpQa8TAGOXxciLunt8Tp2AtS0FsBUH1BVFsB/TyFy8yXbMNEH2tRWgJkBIBQBUc9EOBkuQn5BhV8i0SfDDCWVi7GxMTQ0NCq1DwEBARgzZgzOnTuHFy9eSBxTUVGBqakpBAKB1LqFhYUQCoXF9hsYGEBbW/uj9JfK7tLx9bh25k94/28uvp2yE8qq6ti50hcF+bkl1om8ehin/1qIpp1GYdCPe1GtujN2rvRFZlqiuEx+XjbsajZHY5/hH+xDyN7F0NKtViHXQ/KrkbMAng4CHLkqROBJIfILgW9aKkCxlL+KLpYCtK0jwIU7Imw8LsSrFBG+aakADdW3ZZSVgEdxIly8Kz1NpaUG/K+lApIzRAg8KUTwOSGMdAXo0oB/jqlq4x1MYm+GgZcuXQozMzMYGhpi1KhRyM9/+/H63SFvGxsbAED37t0hEAjErwFg//798PDwgJqaGuzs7ODn54eCgrcfvx88eIAWLVpATU0Nrq6uOHHiRJn6mJGRgeDgYIwYMQKdOnVCYGCgxPH3h7wDAwOhp6eHAwcOwNXVFaqqqoiNjS3W7vtD3jY2NliwYAG+//57aGtrw8rKCn/88YdEnadPn6J3797Q09ODgYEBunbtipiYGIm+NGjQAJqamtDT00PTpk3x5MmTMl3nl0gkEuHq6S1o3GEEHNy9UK26MzoPWoyM1Fe4H36yxHpXTm2Ce9PeqN2kJ4zMasC7rx+UVdRwK+wvcZn6bQehkfdQmNu6l9qH6Ntn8TgyFK17Tq2w6yL51MBRgNC7Ijx4AbxOBf6+JIS2OuBkIf3DKAA0cBIg/JEINx+LkJAGHLkqQkEB4G77ts6V+yKE3RPheaL0gLKGuQBCEXD0mghJ6UBcEnD0qhDOlgLoa1X4ZX7WREKR3G5fIgaUJOHMmTOIjo7GmTNnsHnzZgQGBhYL2t64cuUKAGDTpk2Ii4sTvz5//jwGDBiAcePG4e7du1i3bh0CAwMxf/58AIBQKESPHj2goqKCS5cuYe3atZg6tWx/wHfu3AlnZ2c4OTmhf//+2Lhx4we/LSErKwuLFi3Chg0bcOfOHVSrVrbsk7+/Pzw9PXHjxg2MHDkSI0aMQFRUFAAgPz8f3t7e0NbWxvnz5xEaGgotLS34+PggLy8PBQUF6NatG1q2bImbN28iLCwMQ4cOLTFzSkBqwjNkpr2GjXMT8T5VdW2Y27rjxeMbUusUFuQhPvYOrN+pI1BQgI1zEzx/JL1OSTLTEnB02yx0HrQYyipq/+0iqErQ0wS01AV4/PLt747cfOBFImBhJL2OggJgpg/EvJT8ffP4pQgWRmX/d62kCBS+N0hSUFj03+rlaIdI3jCgJAn6+vpYtWoVnJ2d0blzZ3Tq1AmnTp2SWtbY2BgAoKenB1NTU/FrPz8/TJs2DQMHDoSdnR3atWuHn376CevWrQMAnDx5Evfu3cOWLVvg7u6OFi1aYMGCBWXqX0BAAPr37w8A8PHxQWpqKs6ePVtqnfz8fKxZswZNmjSBk5NTmYfsO3bsiJEjR6JGjRqYOnUqjIyMcObMGQBAcHAwhEIhNmzYADc3N7i4uGDTpk2IjY1FSEgI0tLSkJqais6dO8Pe3h4uLi4YOHAgrKysynTuL1FG2msAgKaOocR+DW1DZKYlSK2TlZEMkbCweB2dkutIIxKJcGjzNNRt/g3MrN3K2XOqajT//byQmSO5PzNHJD72Pg0VQEFBIKUOSqwjTczLonM0dBJAQQFQUwZa1y76U6ylXvZ2iOQNF+WQhJo1a0JRUVH82szMDLdu3SpXGxEREQgNDRVnJIGiuYs5OTnIyspCZGQkLC0tYW5uLj7euHHjD7YbFRWFy5cvY+/evQAAJSUl9OnTBwEBAWjVqlWJ9VRUVFC7du0Sj5fk3ToCgQCmpqZ49eoVgKJrfPjwYbF5lzk5OYiOjkb79u0xaNAgeHt7o127dvDy8kLv3r1hZmYm9Vy5ubnIzZWcJ5ifpwplFVWp5T8Hdy4fwLHtc8Svvx65rtL6cu3Mn8jLzUQjn2GV1gf6eGpaC9Ch3tvs387zxedRfyoJacDfl0TwqiNA69pFw99XH4iQkf3lrg7+r4R8w+QKA8ovgI6ODlJTU4vtT0lJKbYa+v2VzgKBQOoiltJkZGTAz88PPXr0KHZMTe2/DyUGBASgoKBAIhAViURQVVXFqlWrSlzZra6u/p+Gmkt7LzIyMlCvXj1s27atWL03mdpNmzZh7NixOHr0KIKDgzFz5kycOHECjRo1KlZn4cKF8PPzk9j31YA56Dpwbrn7XVXUqN0G5jZv5zQWFOQBADLTEiUWxWSlJ6JadWepbWho6UOgoCixAAcAstISoalTwtilFLH3/8GLR+FYOkYyO7n5l56oWb8LOg1aVOa2SP48eC7Ci3fmNL5ZeKOpJpml1FQT4GWK9CAlK6/om1nez0a+30ZZ3I0V4W6sCJqqQF4hAFHRnM6UDAZIVHUxoPwCODk54fjx48X2X79+HY6OjjK1raysjMLCQol9Hh4eiIqKQo0aNaTWcXFxwdOnTxEXFyfO2P3zzz+lnqegoABbtmyBv78/2rdvL3GsW7du2LFjB4YP//AK3ori4eGB4OBgVKtWDTo60h8/AwB169ZF3bp1MX36dDRu3Bjbt2+XGlBOnz4dEydOlNi34+Lnm50EAFU1LaiqvV2FIBKJoKljjCdRYeJH9eRmZ+DF4wjUad5XahuKSiowtaqJJ1FhcKzjVdSOUIiYqDDUa9W/zH3x6j0TzbuMF7/OSH2Fnb/5oqvvrzD7wEIekn95BUDee48DysgWwcZEgFf/BpAqSoC5IXD9ofQ2hEIgLhmwMRHg/vO3gZ+NiQDXHvy3QDDz30GJ2rYCFAiBxy//UzNEcoEB5RdgxIgRWLVqFcaOHYvBgwdDVVUVhw4dwo4dO/D333/L1LaNjQ1OnTqFpk2bQlVVFfr6+pg9ezY6d+4MKysrfP3111BQUEBERARu376Nn3/+GV5eXnB0dMTAgQOxZMkSpKWlYcaMGaWe5+DBg0hOToavr2+xTGTPnj0REBDwSQPKfv36YcmSJejatSvmzZuH6tWr48mTJ9izZw+mTJmC/Px8/PHHH/jqq69gbm6OqKgoPHjwAAMGDJDanqqqKlRVJQNIZZVPcSXyQyAQwLPNAFw8/Dv0ja2hZ1Qd5/9eAS3dauJgEQCClg+EQ5124oCxftvvcGjzVJha1YKZTW1cPb0Z+bnZcGv8NkOekfoamWkJSH5VtML/9fP7UFHThI6BGdQ19aBjYC7RFxW1onm2esZW0NE3/diXTpXg8n0RmroKkJwuQkom0KKWAtKzgah3gsX/tVJA1DMRrj0s2nc5SoQuDQWISwJeJIrQwEkAZSXg5uO3dTTVijZ97aJRkWq6QG4BkJYF5BQl4VGvhgDPEkXIzwdsTQVo4y7AmZuiYs+rpNJ9qaup5RUDyi+AnZ0dzp07hxkzZsDLywt5eXlwdnbGrl274OPjI1Pb/v7+mDhxItavXw8LCwvExMTA29sbBw8exLx587Bo0SIoKyvD2dkZgwcPBgAoKChg79698PX1RYMGDWBjY4OVK1eW2peAgAB4eXlJHdbu2bMnFi9ejJs3b8p0LeWhoaGBc+fOYerUqejRowfS09NhYWGBtm3bQkdHB9nZ2bh37x42b96MxMREmJmZYdSoURg2jHP0StOw/RDk52Xj2PbZyMlKQ3X7eug9ZgOUlN8G28mvnyI7I1n82sWzI7IyknDh4Mp/H2zugt5jNkgMeYefD0LooVXi19uX9QMAdBywUCLwpC/HP/dEUFECOngqQE0FePoaCD4rlFiBracFiWdMRj4VQUO16IHoRcPjRXUy35n+7GEvQPNab9e7ftu2aE7635eEuBVTFACZGwLNaylARQlITC96/NDtJwyOqGoTiD70zBUiqhQbT1d2D+hLEf+68MOFiCrAj30UP1yojEYvK742QF6smli+b2v7HDBDSURERFUOh7zlC59DSUREREQyYUBJRERERDLhkDcRERFVORzxli/MUBIRERGRTBhQEhEREZFMGFASERERkUwYUBIRERGRTBhQEhEREZFMuMqbiIiIqhw+2Fy+MENJRERERDJhQElEREREMuGQNxEREVU5IhGHvOUJM5REREREJBMGlEREREQkEw55ExERUZUj5CpvucIMJRERERHJhAElEREREcmEQ95ERERU5XCVt3xhhpKIiIiIZMKAkoiIiIhkwiFvIiIiqnL4Xd7yhQElkZz6X35AZXeBvhSC5MruAX0xJld2B+gj4ZA3EREREcmEGUoiIiKqcjjkLV+YoSQiIiIimTCgJCIiIiKZcMibiIiIqhwhH2wuV5ihJCIiIiKZMKAkIiIiIplwyJuIiIiqHK7yli/MUBIRERGRTBhQEhEREZFMOORNREREVY6Iq7zlCjOURERERCQTBpREREREJBMGlEREREQkEwaURERERCQTBpREREREJBOu8iYiIqIqR8gHm8sVZiiJiIiISCYMKImIiIhIJhzyJiIioiqH3+UtXz6rDKWNjQ2WL1/+UdoWCATYt2+fTG2EhIRAIBAgJSWl1HKDBg1Ct27dxK9btWqF8ePHy3TuihAQEID27dt/knMFBgZCT0+vwtr7mPfGh6xduxZdunSplHMTERF9CpWeoWzVqhXq1KlT7I99YGAgxo8f/8Hg611XrlyBpqam+LVAIMDevXslgrOPLSwsDM2aNYOPjw8OHTokcaxJkyaIi4uDrq5uudrcs2cPlJWVK7Kb5ZaTk4NZs2Zh165dEvvT0tKwaNEi/PXXX4iJiYGenh5q1aqFkSNHonv37hAIBJXUY/nx/fff46effsL58+fRvHnzyu6O3Ao6dx2bT19GQlomHC2qYdrXXnCzNiux/PEb97D60AW8SEqFlbE+xn/VEs1r2ouPn4y4j10XwhH5NB6pWTkInjIQztVNxMdTM7Ox5kgowu49RnxyOvS11NHazQGjOjWHtrrqR71WqlxBl+5g84WbSMjIhqOpAaZ1agK36tVKLH/89iOsPnUVL1IyYGWgg/HeDdDc0Up8/OSdx9h1JRKRLxKQmp2L4JE94GxmKNGGb8BBXI2Jk9j3dX1nzPqKvxPo8/BZZSiNjY2hoaFRqX0ICAjAmDFjcO7cObx48ULimIqKCkxNTUsMsgoLCyEUCovtNzAwgLa29kfpb1nt3r0bOjo6aNq0qXhfSkoKmjRpgi1btmD69Om4fv06zp07hz59+mDKlClITU2txB5/fHl5eWUqp6Kigv/9739YuXLlR+5R1XX0eiSW7j2DYT5NEfTDQDhZGGPEmp1ITM+UWj780XNM2/w3ujd2Q/CUQWhd2wHjN+zFgxevxWWyc/NR184C479qKbWNV6kZeJ2agYldW+Ovad9hXr+OCI18jLnbj3yUayT5cPRWNJYe+QfDWnsgaER3OJkaYsTmI0jMyJZaPjz2JabtOo3u9ZwQPKI7WrvYYPz2E3jwMklcJju/AHWtTTG+fYNSz93T0xmnpvQTbxPaN6zQa/vSiEQiud2+RFUmoHwzDLx06VKYmZnB0NAQo0aNQn5+vrjMu8OaNjY2ACDOkr15DQD79++Hh4cH1NTUYGdnBz8/PxQUFIiPP3jwAC1atICamhpcXV1x4sSJMvUxIyMDwcHBGDFiBDp16oTAwECJ4+8Peb8Z1j1w4ABcXV2hqqqK2NjYYu2+P+RtY2ODBQsW4Pvvv4e2tjasrKzwxx9/SNR5+vQpevfuDT09PRgYGKBr166IiYmR6EuDBg2gqakJPT09NG3aFE+ePCnx2oKCgooN2/7444+IiYnBpUuXMHDgQLi6usLR0RFDhgxBeHg4tLS0AADJyckYMGAA9PX1oaGhgQ4dOuDBgwcSbQUGBsLKygoaGhro3r07EhMTi/WhtJ+bSCTC3LlzYWVlBVVVVZibm2Ps2LES9bOyskp9z6ZOnQpHR0doaGjAzs4Os2bNkri/5s6dizp16mDDhg2wtbWFmpoagKLAevDgwTA2NoaOjg7atGmDiIgIiba7dOmCAwcOIDtb+h+tL92fZ66iR5Pa6NbIDfZmRpjZ2xtqKsrY988tqeW3nb2KJi62GNS2IexMDTG6U3O4VDdB0Pnr4jJdGtTE8A5N0dDJRmobDubGWObbDa3casDSWB8NHa0xpnNznL0djYLC4h/s6PPw58Vb6OHpjG4eTrCvpo+ZXZpBTVkJ+65HSS2/Lew2mtSojkHN3GFXTR+jvTzhYmaEoEt3xGW61HHA8NYeaGhvUeq51ZSVYKStId601FQq9NqIKlOVCSgB4MyZM4iOjsaZM2ewefNmBAYGFgva3rhy5QoAYNOmTYiLixO/Pn/+PAYMGIBx48bh7t27WLduHQIDAzF//nwAgFAoRI8ePaCiooJLly5h7dq1mDp1apn6t3PnTjg7O8PJyQn9+/fHxo0bP/hJJSsrC4sWLcKGDRtw584dVKtW8rDLu/z9/eHp6YkbN25g5MiRGDFiBKKiin4h5ufnw9vbG9ra2jh//jxCQ0OhpaUFHx8f5OXloaCgAN26dUPLli1x8+ZNhIWFYejQoaUOT1+4cAGenp7i10KhEEFBQejXrx/Mzc2LldfS0oKSUtGMikGDBuHq1as4cOAAwsLCIBKJ0LFjR3GwdunSJfj6+mL06NEIDw9H69at8fPPP0u096Gf219//YVff/0V69atw4MHD7Bv3z64ubmV+T0DAG1tbQQGBuLu3btYsWIF1q9fj19//VWijYcPH+Kvv/7Cnj17EB4eDgDo1asXXr16hSNHjuDatWvw8PBA27ZtkZT0NoPh6emJgoICXLp0qcT3+EuVX1CIyKfxaPRO4KegIEAjJ2vcfPxCap2bMS/QyNFGYl8TF9sSy5dVRnYutNRUoKRYpX41UhnlFxQi8kUCGtm9DfwUFARoZG+Bm09fSa1z8+lLNHovUGxSozpuxkovX5rDEQ/RcuEW9PhtN1Ycv4zsvIIPVyKqIip9DmV56OvrY9WqVVBUVISzszM6deqEU6dOYciQIcXKGhsbAwD09PRgamoq3u/n54dp06Zh4MCBAAA7Ozv89NNPmDJlCubMmYOTJ0/i3r17OHbsmDhQWrBgATp06PDB/gUEBKB///4AAB8fH6SmpuLs2bNo1apViXXy8/OxZs0auLu7l/l9AICOHTti5MiRAIoya7/++ivOnDkDJycnBAcHQygUYsOGDeIgcdOmTdDT00NISAg8PT2RmpqKzp07w96+aM6Zi4tLiedKSUlBamqqROCYkJCA5ORkODs7l9rPBw8e4MCBAwgNDUWTJk0AANu2bYOlpSX27duHXr16YcWKFfDx8cGUKVMAAI6Ojrh48SKOHj0qbudDP7fY2FiYmprCy8sLysrKsLKyQoMGksNPpb1nADBz5kxxWRsbG0yePBlBQUHifgFFw9xbtmwR318XLlzA5cuX8erVK6iqFs27W7p0Kfbt24fdu3dj6NChAAANDQ3o6uqWmgX+UiVnZqFQKIKhtuR0FUNtTTx+Z1jxXQlpmTDUKV4+oYQh8jL1IyMLfxwLQ8+m5fu3SFVHclZO0b2mpS6x31BLHY8TUqTWScjIllo+oYQh8pJ0qG0PMz0tVNPWxP2XSVh+/DJiElLx6//alasdekskZYoYVZ4qFVDWrFkTioqK4tdmZma4dUv6kFhJIiIiEBoaKs5sAUVzF3NycpCVlYXIyEhYWlpKBE+NGzf+YLtRUVG4fPky9u7dCwBQUlJCnz59EBAQUGpAqaKigtq1a5frGgBI1BEIBDA1NcWrV0WfmCMiIvDw4cNi8y5zcnIQHR2N9u3bY9CgQfD29ka7du3g5eWF3r17w8xM+gKIN8O0b4Z4AZR5jkhkZCSUlJTQsOHbuUKGhoZwcnJCZGSkuEz37t0l6jVu3FgioPzQz61Xr15Yvnw57Ozs4OPjg44dO6JLly7iLOmH3jMACA4OxsqVKxEdHY2MjAwUFBRAR0dHol/W1tbiYPJNvzIyMmBoKDkBPzs7G9HR0RL71NXVkZWVJfV9ys3NRW5ursQ+UV4+VFUqdzHWlyIjOxej1/0FO1NDDO/Q9MMViMrp6/pvP7Q7mBrASFsdQzcdxtOkNFga6JRSk6hqqPSAUkdHR+rijZSUlGKrod9f6SwQCKQuYilNRkYG/Pz80KNHj2LH3g2YyisgIAAFBQUSgahIJIKqqipWrVpV4spudXX1/7QSurT3IiMjA/Xq1cO2bduK1XsTDG3atAljx47F0aNHERwcjJkzZ+LEiRNo1KhRsTqGhoYQCARITk6WaEdPTw/37t0rd9//iw/93CwtLREVFYWTJ0/ixIkTGDlyJJYsWYKzZ8+K36vS3rOwsDD069cPfn5+8Pb2hq6uLoKCguDv7y9R592nCLzpl5mZGUJCQor16/3HHiUlJUkEo+9auHAh/Pz8JPbN6NcFM7/tKrX850RfUwOKCgIkpksG24npmTDS1pRax0hHE4lpZS9fmsycXIz8fRc0VVXw6+DuUH7nQyt9XvQ11Irutfeyi4kZ2TDSkr6g00hLvYTy6lLLl9WbVeWxiakMKOmzUOkThZycnHD9+vVi+69fvw5HR0eZ2lZWVkZhYaHEPg8PD0RFRaFGjRrFNgUFBbi4uODp06eIi3v7eId//vmn1PMUFBRgy5Yt8Pf3R3h4uHiLiIiAubk5duzYIdN1lJeHhwcePHiAatWqFbvGdwPbunXrYvr06bh48SJq1aqF7du3S21PRUUFrq6uuHv3rnifgoICvvnmG2zbtq3YanYA4gyfi4tLsbmDiYmJiIqKgqurK4Ci4fb35xa+/55/6OcGFAXnXbp0wcqVKxESEoKwsLAyZ7AvXrwIa2trzJgxA56ennBwcCjT8LSHhwfi4+OhpKRUrF9GRkbictHR0cjJyUHdunWltjN9+nSkpqZKbD/06Vimvld1ykqKcLE0xaX7b99voVCES1FPUNu2+PxcAKhtYy5RHgD+uRdTYvmSZGTnYviaXfikfSYAACpYSURBVFBWUsSKoT2gqlzpn7HpI1JWUoSLuREuPXou3icUinDp0QvUtpQ+f722pQkuPZL8HfdP9DPUtirbfPeSRMUVLTw01q7cJ5NUZUKhSG63L1GlB5QjRozA/fv3MXbsWNy8eRNRUVFYtmwZduzYgUmTJsnUto2NDU6dOoX4+Hhxdm327NnYsmUL/Pz8cOfOHURGRiIoKEg8f87LywuOjo4YOHAgIiIicP78ecyYMaPU8xw8eBDJycnw9fVFrVq1JLaePXsiICBApusor379+sHIyAhdu3bF+fPn8fjxY4SEhGDs2LF49uwZHj9+jOnTpyMsLAxPnjzB8ePH8eDBg1LnUXp7e+PChQsS++bPnw9LS0s0bNgQW7Zswd27d/HgwQNs3LgRdevWRUZGBhwcHNC1a1cMGTIEFy5cQEREBPr37w8LCwt07VqUfXuTKV26dCkePHiAVatWSQx3Ax/+uQUGBiIgIAC3b9/Go0ePsHXrVqirq8Pa2rpM75mDgwNiY2MRFBSE6OhorFy5Ujx9oTReXl5o3LgxunXrhuPHjyMmJgYXL17EjBkzcPXqVXG58+fPw87OTjxn9X2qqqrQ0dGR2L6k4e5vW3tiz8UIHLh0G4/iE/HzzuPIzstHt4ZFC6tm/HkIKw6cFZfv19ITFyMfY/Ppy3j8MhG/H76AO0/j8U1zD3GZ1Mxs3Hv2Eo/iEwAAMa+ScO/ZSySkZQB4E0zuRHZePub29UFmTi4S0jKQkJaBQs7N+mx928QNe65F4cCN+3j0Khk//32h6F7zKEpgzNh9BiuOXxaX79e4Fi4+eIrNoTfx+HUKfj99DXdeJOCbhjXFZVKzcnAvLhGPXhf9nYlJSMG9uEQk/Jt1f5qUhnVnruPu89d4npyOkMgnmPlXCOrZmMLRVHK6DFFVVekfx+3s7HDu3DnMmDEDXl5eyMvLg7OzM3bt2gUfHx+Z2vb398fEiROxfv16WFhYICYmBt7e3jh48CDmzZuHRYsWQVlZGc7Ozhg8eDCAoszb3r174evriwYNGsDGxgYrV64stS8BAQHw8vKSOqzds2dPLF68GDdv3pTpWspDQ0MD586dw9SpU9GjRw+kp6fDwsICbdu2hY6ODrKzs3Hv3j1s3rwZiYmJMDMzw6hRozBs2LAS2/T19RUv5nlznQYGBvjnn3/wyy+/4Oeff8aTJ0+gr68PNzc3LFmyRFxu06ZNGDduHDp37oy8vDy0aNEChw8fFg9BN2rUCOvXr8ecOXMwe/ZseHl5YebMmfjpp5/E5//Qz01PTw+//PILJk6ciMLCQri5ueHvv/8uNrexJF999RUmTJiA0aNHIzc3F506dcKsWbMwd+7cUusJBAIcPnwYM2bMwHfffYfXr1/D1NQULVq0gInJ24do79ixQ+riMSri4+GC5IxsrDl8AQlpmXCqXg1rRvSCoU7REHZ8choU3pkaUsfOAgsHdsaqQ+fx29/nYVVNH8sHd4eD+dspBSG3H2L2trfPlJwa+DcAYLhPE4zo2AyRz17i1pOikYjOP62X6M/hOcNgYVi+LyCgqsHHzR7JmTlYc+oaEjKy4GRmiDUDOsDw3yHv+NRMKCi8c69ZmWBhrzZYdfIqfjtxBVaGulj+v3ZwMDEQlwm5F4vZe99+4Jm68zQAYHhrD4xoUw/Kigq49Og5toXdRnZ+AUx1NOFV0xZDWkofsSCqigSiL/UJnFRuvXr1goeHB6ZPn17ZXalS7ty5gzZt2uD+/fvl+paknGOfNrNNX7DU5A+XIaoAar0nV1hbvSfFVFhbFW2nv01ld+GTq/Qhb6o6lixZIn5YOZVdXFwctmzZUu6v3CQiIqoqKn3Im6oOGxsbjBkzprK7UeV4eXlVdheIiIg+KgaUREREVOWIvtDV1PKKQ95EREREJBMGlEREREQkEw55ExERUZXDIW/5wgwlEREREcmEASURERERyYRD3kRERFTlCEX8ilR5wgwlERERURWQlJSEfv36QUdHB3p6evD19UVGRkapdXJycjBq1CgYGhpCS0sLPXv2xMuXL8XHExMT4ePjA3Nzc6iqqsLS0hKjR49GWlpaufrGgJKIiIioCujXrx/u3LmDEydO4ODBgzh37hyGDh1aap0JEybg77//xq5du3D27Fm8ePECPXr0EB9XUFBA165dceDAAdy/fx+BgYE4efIkhg8fXq6+8bu8ieQUv8ubPhl+lzd9IhX5Xd7dRz+osLYq2t5VDhXeZmRkJFxdXXHlyhV4enoCAI4ePYqOHTvi2bNnMDc3L1YnNTUVxsbG2L59O77++msAwL179+Di4oKwsDA0atRI6rlWrlyJJUuW4OnTp2XuHzOURERERBUoNzcXaWlpEltubq5MbYaFhUFPT08cTAJFX+2roKCAS5cuSa1z7do15OfnS3wFsLOzM6ysrBAWFia1zosXL7Bnzx60bNmyXP1jQElERERUgRYuXAhdXV2JbeHChTK1GR8fj2rVqknsU1JS+n97dx5XVbX3D/xzmIfD4BHkgKFcFcQZweyiCSgQjuGIGio40JPllDN1FdRK87FHvfqzMhE0Nc0yp4SrqThlDoiIiagE4sAkyqTMZ/3+4Lr1CCh2UEA/79dr/3H2Xmvt795uOV/W2msBhUKB9PT0auvo6enB3Nxcbb+VlVWlOiNHjoSRkRGaNm0KU1NTrFu37rniY0JJREREVIuCg4ORm5urtgUHB1dZdu7cuZDJZE/dLl++/MJjXr58Oc6dO4ddu3YhKSkJ06dPf676XDaIiIiIqBbp6+tDX1+/RmVnzJiBwMDAp5Zp0aIFlEolMjMz1faXlZXh7t27UCqVVdZTKpUoKSlBTk6OWi9lRkZGpTpKpRJKpRKOjo5QKBTo0aMH5s2bB2tr6xpdBxNKIiIiojpiaWkJS0vLZ5ZzdXVFTk4OYmJi4OLiAgA4dOgQVCoV3nrrrSrruLi4QFdXFwcPHsSQIUMAAImJiUhNTYWrq2u151KpKtb4fJ73PplQEhERUYPzuv0t7zZt2qB3794ICgrCN998g9LSUkyaNAkjRoyQZnjfunULnp6e2LhxI7p27QozMzOMHz8e06dPh0KhgKmpKSZPngxXV1dphve+ffuQkZGBN998E3K5HH/++SdmzZqF7t27w87OrsbxMaEkIiIiagA2b96MSZMmwdPTE1paWhgyZAj+/e9/S8dLS0uRmJiIBw8eSPuWL18ulS0uLoaPjw/WrFkjHTc0NMR3332Hjz/+GMXFxbC1tcXgwYMxd+7c54qN61AS1VNch5JeGq5DSS9Jba5DOfDDK7XWVm3bucahrkN46dhDSURERA0O+8PqFy4bREREREQaYQ8lUT3174KxdR0CvSZ2f3+srkOg18Rxv7qOgF4UJpRERETU4Dxc2obqBw55ExEREZFGmFASERERkUY45E1EREQNzuu2sHl9xx5KIiIiItIIE0oiIiIi0giHvImIiKjBEYKzvOsT9lASERERkUaYUBIRERGRRjjkTURERA0OZ3nXL+yhJCIiIiKNMKEkIiIiIo1wyJuIiIgaHA551y/soSQiIiIijTChJCIiIiKNcMibiIiIGhwVFzavV9hDSUREREQaYUJJRERERBrhkDcRERE1OJzlXb+wh5KIiIiINMKE8jUUHR0NmUyGnJycug6l1qWkpEAmk+H8+fNPLRcaGgonJyfpc2BgIAYOHPhCYyMiInpVcci7jmRlZWH+/Pn49ddfkZGRgUaNGqFTp06YP38+unfvXmvn8fDwgJOTE1asWFFrbda20NBQ7Ny585lJ4EM3b95EixYt4ODggIsXL6ods7W1RVpaGiwsLJ4rhpUrV0IIDp/UNSEEzv22Colnt6OkMB9WzTujm28IzCzsnlrv0snNiD+2HoUFd6BQOsJ1wKewtO0oHb98+kckxe1F9u1LKC2+j1HzTkHf0FStjdw7yTgduQwZ189BVV4KhbI1nL2mwKblWy/iUqkeGO9vhwHvKGFirIP4hDwsW3MVN9MKn1pncF8bjBxsC0UjPSQlF2D5t9eQcDVfOj7rI3t06dQIFgo9PCgqx8WEPHy94S+k3nzU7vE97pXaDVl6CQePZdXexRG9ZOyhrCNDhgxBbGwsNmzYgCtXrmD37t3w8PBAdnZ2XYdW70VERMDPzw95eXk4deqU2jFtbW0olUro6FT9u5IQAmVlZZX2m5mZwdzc/EWES8/hwtF1uHRyE7r7huLdidugo2eE/4QHoay0uNo6f13Yh1P7vkRnz4/g+9HPUFi3RlR4EAoLHv1fKistxBsOPdDJ43+qbWf/holQqcrQd3wEfD/6CQplaxzYOBEP8vkl/yryH2KLof2bYtmaq3h/ZiwKi8rxfws7QE9XVm2dXm9bYtKElgj/IQXjp8XgWnIB/m9hB5ib6UplEq8V4IuVifD/8AxmhMRDJgOWL+wIrSe+bT9fcRnvjv5d2o79cedFXSrRS8GEsg7k5OTg2LFj+PLLL9GzZ080b94cXbt2RXBwMN59912pXGpqKnx9fSGXy2Fqago/Pz9kZGRIx6sapp02bRo8PDyk40eOHMHKlSshk8kgk8mQkpIilY2JiUGXLl1gZGSEbt26ITExEQCQm5sLbW1tnD17FgCgUqmgUCjwz3/+U6q7adMm2NraSp9v3LgBPz8/mJubQ6FQwNfXV+1c0dHR6Nq1K4yNjWFubo7u3bvj+vXriIiIwIIFCxAXFyfFGBERUe29E0IgPDwco0ePxnvvvYewsDC1408OeT8c3o+MjISLiwv09fVx/PjxSu0+eS89PDwwZcoUzJ49GwqFAkqlEqGhoWp1cnJyMGHCBFhaWsLU1BS9evVCXFycdDwuLg49e/aEiYkJTE1N4eLiIt1TqkwIgT9/3winnh+geVtPKKxbw33YEjzIz8T1S79VW+/i8Q1o/eYwOLgMRiOrVujuGwodPQNcidkhlWnfPQCd3IPQxLZTlW0U3b+HvOzr6OQWBIV1a5hZ2KFL7xkoKy3EvYyrtX6tVPeGvdsUG3+8juOnspGUch+fLb+Mxgp99Phn9aMbIwa+gT3/ScO+gxlIufEA/7vmKoqKVejvrZTK7P5PGuL+zEV6ZjGuJBXgu00psLI0gLKJgVpbBffLcDenVNpKSjlCQg0bE8o6IJfLIZfLsXPnThQXV93zolKp4Ovri7t37+LIkSM4cOAA/vrrLwwfPrzG51m5ciVcXV0RFBSEtLQ0pKWlqSWBn376Kb766iucPXsWOjo6GDduHICK3jonJydER0cDAOLj4yGTyRAbG4uCggIAwJEjR+DuXjFsU1paCh8fH5iYmODYsWM4ceIE5HI5evfujZKSEpSVlWHgwIFwd3fHhQsXcPLkSbz//vuQyWQYPnw4ZsyYgXbt2kkxPu0aDx8+jAcPHsDLywujRo3C1q1bcf/+/Wfei7lz52LJkiVISEhAx44dn1keADZs2ABjY2OcOnUKS5cuxcKFC3HgwAHp+LBhw5CZmYnIyEjExMTA2dkZnp6euHv3LgDA398fb7zxBs6cOYOYmBjMnTsXurq61Z3utZd/7yYK8+/ApqWrtE/PwASWb3REZmpclXXKy0pw5/afsGn1qI5MSws2LV2RmXq+xufWNzKHmcU/cDV2F0pLHkBVXobE09tgYNwYFk3b/e1rovrJxsoAFgp9nDl/T9p3/0E5Ll3JQ3tH0yrr6OjI4NDKBGfjHtURAjh7/h7ata66joG+Fvp6KXE7vRCZd9R/1k//wB57N3fD2q86o5+Xssr69HRCpaq32+uI71DWAR0dHURERCAoKAjffPMNnJ2d4e7ujhEjRkjJzsGDBxEfH4/k5GQpCdy4cSPatWuHM2fO4M0333zmeczMzKCnpwcjIyMolZV/YH3++edSUjh37lz069cPRUVFMDAwgIeHB6KjozFz5kxER0fD29sbly9fxvHjx9G7d29ER0dj9uzZAIBt27ZBpVJh3bp1kMkqhovCw8Nhbm6O6OhodOnSBbm5uejfvz9atmwJAGjTpo0Uh1wuh46OTpUxPiksLAwjRoyAtrY22rdvjxYtWmD79u0IDAx8ar2FCxfC29v7me0/rmPHjggJCQEA2NvbY/Xq1Th48CC8vb1x/PhxnD59GpmZmdDX1wcALFu2DDt37sRPP/2E999/H6mpqZg1axYcHR2lNqh6hfkVQ36G8sZq+w3lFigsqHrYuehBDoSqvIo6jZGblVzjc8tkMvQZvx6/bZqEjQu6QCbTgqGxAj5j10Lf0Ow5r4TqO0UjPQDAvZxStf33ckqkY08yM9WFjrYMd++p17mbU4rmbxip7RvU1wYTA1vAyFAb128+wLR5F1BW9qgH8rtNyTh3IQdFxSp07dwI0yfaw9BQGz/tuVUbl0dUJ9hDWUeGDBmC27dvY/fu3VKC5uzsLA33JiQkwNbWVq1HsW3btjA3N0dCQkKtxPB4T521tTUAIDMzEwDg7u6O48ePo7y8HEeOHIGHh4eUZN6+fRvXrl2Thtbj4uJw7do1mJiYSL2vCoUCRUVFSEpKgkKhQGBgIHx8fDBgwACsXLkSaWlpzx1vTk4OduzYgVGjRkn7Ro0aVWnYuypdunR57vM92ZNpbW0t3Z+4uDgUFBSgcePG0jXL5XIkJycjKSkJADB9+nRMmDABXl5eWLJkibS/KsXFxcjLy1Pbnvbe4Kvg2vk92BDqIm2q8tJnV3pBhBD4ffciGBgr0P/9TXh34jY0a+uJAxs/xIO8zDqLi2qHt3sT7P/xbWnT0an+PcnasD86A+OmxuCjuedx49YDLJrTVu3dzA3bUhGfkIerfxVg8883sGXHDYwc9MYLjYnoRWMPZR0yMDCAt7c3vL29MW/ePEyYMAEhISHP7G17SEtLq9LM5NLSmn8pPz78+rBnUfXfrno3Nzfk5+fj3LlzOHr0KL744gsolUosWbIEnTp1go2NjdTjVlBQABcXF2zevLnSOSwtLQFU9FhOmTIFUVFR2LZtG/71r3/hwIEDau9lPsuWLVtQVFSEt956NOtWCAGVSoUrV67AwcGh2rrGxsY1Ps9DTw5Py2Qy6f4UFBTA2tpaei3gcQ8n94SGhuK9997Dr7/+isjISISEhGDr1q0YNGhQpTqLFy/GggUL1PZ5DZsP7+Ehzx13Q9GsTS80eWwmdnlZCQCgsCAbRqZNpP2FBXegsG5TqT4AGBiZQ6alrTYB52EbhiY1n+mflvQHblyOxqh5p6BnIAcAWDRth9vXfsfV2F3o5B5U47ao/jl+OhuXrjx6f1lPt6IvpZG5LrLvlUj7G5nr4dpfBVW2kZtXirJyAUUj9Z8LiifaACqGz+8/KMTNtEL8mZiHyB+6w83VAr8drbqn/VJiHsaOaA5dHRlKy/guZU1xYfP6hT2U9Ujbtm2l9wHbtGmDGzdu4MaNG9LxS5cuIScnB23btgVQkaw92dP35NI7enp6KC8vf+5YzM3N0bFjR6xevRq6urpwdHSEm5sbYmNjsXfvXmmoHACcnZ1x9epVNGnSBK1atVLbzMweDRd27twZwcHB+P3339G+fXts2bLluWIMCwvDjBkzcP78eWmLi4tDjx49sH79+ue+Rk04OzsjPT0dOjo6la758SWLHBwc8PHHH2P//v0YPHgwwsPDq2wvODgYubm5alvPwXNf1uXUCT19Y5g2bi5t5k1awdDEAreT/pDKlBQVIOvmBTRpVvVkGm0dPVjYtEPatUd1hEqF20l/oEkzpxrHUlZaBODRL1YPyWRaEOL1fB/qVVJYWI5baUXSlpz6AHfuFqNLp0ZSGSNDbbR1MMXFy3lVtlFWJnDlWj5cOj6qI5MBLp0a4c/EqusAgOy/5XR1q/+6tW8hR15+KZNJatCYUNaB7Oxs9OrVC5s2bcKFCxeQnJyM7du3Y+nSpfD19QUAeHl5oUOHDvD398e5c+dw+vRpjBkzBu7u7tLwba9evXD27Fls3LgRV69eRUhISKV1Ge3s7HDq1CmkpKTgzp07Ug9bTXh4eGDz5s1S8qhQKNCmTRts27ZNLaH09/eHhYUFfH19cezYMSQnJyM6OhpTpkzBzZs3kZycjODgYJw8eRLXr1/H/v37cfXqVek9Sjs7OyQnJ+P8+fO4c+dOlROVzp8/j3PnzmHChAlo37692jZy5Ehs2LChyuWAXhQvLy+4urpi4MCB2L9/P1JSUvD777/j008/xdmzZ1FYWIhJkyYhOjoa169fx4kTJ3DmzBm1d0cfp6+vD1NTU7VNR1f/pV1PfSCTydCu2xicP/wNriccwt30KziyfS6MTJqgeVsvqdy+dWNx6eSj3vD2bwcg8ex2XD23EzmZSTixawHKSgrh4PyoJ/hBfhaybycgL/s6AOBe+hVk305A8YMcAECTZk7QMzTF0Z+CkZ12+b9rUv4v8u/dgm3rymsGUsO3ffctBAxvhu5dG6NFc2P8a7ojsu8Wqy3fs+Kzjhjcz0b6vHXnTQzwsUbvXlZo/oYRZn5oD0MDLfz6WzqAisk+o4baonVLOaws9dHe0RSL5rZFcbEKJ89WTNbr/mZj9H9HiX80M0JTawMM7GON0cOa4ae9fH+SGjYOedcBuVyOt956C8uXL0dSUhJKS0tha2uLoKAgfPLJJwAqvlx37dqFyZMnw83NDVpaWujduzdWrVoltePj44N58+Zh9uzZKCoqwrhx4zBmzBjEx8dLZWbOnImAgAC0bdsWhYWFSE6u+UQFd3d3rFixQnpXEqhIMuPi4tT2GRkZ4ejRo5gzZw4GDx6M/Px8NG3aFJ6enjA1NUVhYSEuX76MDRs2IDs7G9bW1vjoo4/wP/9TsSbgkCFDsGPHDvTs2RM5OTkIDw+vNOwfFhaGtm3bShNcHjdo0CBMmjQJ+/btq/EMbk3JZDLs27cPn376KcaOHYusrCwolUq4ubnBysoK2trayM7OxpgxY5CRkQELCwsMHjy40rA2qevoNgFlJYU48UsISoryYNXcGT5j16ol1/l3U1F0/9FM2xYd+6Lo/j3E/PZvFObfQWPrNvAZu1ZtyPvyqW2IPfT/pM+/fjcaANBjyBdwcBkEA+NG8An8DjEHViByXSBUqjKYN2kFr1Gr0di68jNHDd/mn2/AwEAbsyc5QG6sg/hLuZgREq+2fE9TpSHMTR8NcR86ngVzM11M8LeDolHF8PiMkHhpck9xqQqd2pnB7903YCLXwd2cEsT9mYsPZsciJ7eiTFm5CoP72mDK+JaATIZbaYVYHZaE3f95/vfKX3ccPahfZIJ/HoSoXlr6M39Y0suxO+JYXYdAr4mq/krQ3+U54nSttVXbDm7tWtchvHQc8iYiIiIijXDIm4iIiBocFWd51yvsoSQiIiIijTChJCIiIiKNcMibiIiIGpzX9W9m11fsoSQiIiIijTChJCIiIiKNcMibiIiIGhz+Le/6hT2URERERKQRJpREREREpBEOeRMREVGDw7/lXb+wh5KIiIiINMKEkoiIiIg0wiFvIiIianA4y7t+YQ8lEREREWmECSURERERaYRD3kRERNTg8G951y/soSQiIiIijTChJCIiIiKNMKEkIiIiIo0woSQiIiIijTChJCIiIiKNyIQQXBmUiBq84uJiLF68GMHBwdDX16/rcOgVxmeNqDImlET0SsjLy4OZmRlyc3Nhampa1+HQK4zPGlFlHPImIiIiIo0woSQiIiIijTChJCIiIiKNMKEkoleCvr4+QkJCOEmCXjg+a0SVcVIOEREREWmEPZREREREpBEmlERERESkESaURERERKQRJpRERC9YREQEzM3N6zqM145MJsPOnTtrrb3o6GjIZDLk5OTUWptP4+HhgWnTpr2UcxFpigkl0WskMDAQMpkMMpkMurq6sLKygre3N9avXw+VSlXX4Ule9hd3VUJDQ6V7paOjAwsLC7i5uWHFihUoLi6us7hedSdPnoS2tjb69euncVtpaWno06dPLURVc3Z2dtJzY2hoCDs7O/j5+eHQoUMvNQ6il40JJdFrpnfv3khLS0NKSgoiIyPRs2dPTJ06Ff3790dZWVldh4fS0tJ60167du2QlpaG1NRUHD58GMOGDcPixYvRrVs35Ofn12KU9FBYWBgmT56Mo0eP4vbt208tK4So8pktKSkBACiVyjpZ2mfhwoVIS0tDYmIiNm7cCHNzc3h5eeHzzz9/6bEQvSxMKIleM/r6+lAqlWjatCmcnZ3xySefYNeuXYiMjERERIRULicnBxMmTIClpSVMTU3Rq1cvxMXFScdDQ0Ph5OSEb7/9Fra2tjAyMoKfnx9yc3OlMmfOnIG3tzcsLCxgZmYGd3d3nDt3Ti0emUyGr7/+Gu+++y6MjY0RFBSEnj17AgAaNWoEmUyGwMBAABW9PytWrFCr7+TkhNDQ0Grbe/glvmvXLjg7O8PAwAAtWrTAggULnplA6+joQKlUwsbGBh06dMDkyZNx5MgRXLx4EV9++aVUrri4GDNnzkTTpk1hbGyMt956C9HR0dW2m5SUBF9fX1hZWUEul+PNN9/Eb7/9Jh1fuHAh2rdvX6mek5MT5s2b99SYG7KCggJs27YNEydORL9+/dSeR+BRz3VkZCRcXFygr6+P48ePw8PDA5MmTcK0adNgYWEBHx8fAOpD3t26dcOcOXPU2svKyoKuri6OHj0KAPj+++/RpUsXmJiYQKlU4r333kNmZuZzX8fD+s2aNYObmxvWrl2LefPmYf78+UhMTJTKXbx4EX369IFcLoeVlRVGjx6NO3fuVNvu0+ITQqBVq1ZYtmyZWp3z589DJpPh2rVrz30dRM+DCSURoVevXujUqRN27Ngh7Rs2bBgyMzMRGRmJmJgYODs7w9PTE3fv3pXKXLt2DT/++CP27NmDqKgoxMbG4sMPP5SO5+fnIyAgAMePH8cff/wBe3t79O3bt1LvXmhoKAYNGoT4+HgsWLAAP//8MwAgMTERaWlpWLly5XNdz+PtjRs3DseOHcOYMWMwdepUXLp0Cd9++y0iIiL+Vo+Ro6Mj+vTpo3avJk2ahJMnT2Lr1q24cOEChg0bht69e+Pq1atVtlFQUIC+ffvi4MGDiI2NRe/evTFgwACkpqYCAMaNG4eEhAScOXNGqhMbG4sLFy5g7Nixzx1zQ/Hjjz/C0dERrVu3xqhRo7B+/XpUtVTy3LlzsWTJEiQkJKBjx44AgA0bNkBPTw8nTpzAN998U6mOv78/tm7dqtbetm3bYGNjgx49egCo6M1etGgR4uLisHPnTqSkpEi/zGhq6tSpEEJg165dACp+YevVqxc6d+6Ms2fPIioqChkZGfDz86u2jafFJ5PJMG7cOISHh6vVCQ8Ph5ubG1q1alUr10FULUFEr42AgADh6+tb5bHhw4eLNm3aCCGEOHbsmDA1NRVFRUVqZVq2bCm+/fZbIYQQISEhQltbW9y8eVM6HhkZKbS0tERaWlqV5ygvLxcmJiZiz5490j4AYtq0aWrlDh8+LACIe/fuqe1v3ry5WL58udq+Tp06iZCQkKe25+npKb744gu1fd9//72wtrauMs6H19epU6cqj82ZM0cYGhoKIYS4fv260NbWFrdu3ap0zuDgYCGEEOHh4cLMzKzacwkhRLt27cSqVaukz3369BETJ06UPk+ePFl4eHg8tY2Grlu3bmLFihVCCCFKS0uFhYWFOHz4sHT84XOxc+dOtXru7u6ic+fOldoDIH755RchhBCZmZlCR0dHHD16VDru6uoq5syZU208Z86cEQBEfn6+2vmffC4fV9Uz+pCVlZX0b7po0SLxzjvvqB2/ceOGACASExOl65o6dWqN47t165bQ1tYWp06dEkIIUVJSIiwsLERERES1bRDVFvZQEhGAiiEzmUwGAIiLi0NBQQEaN24MuVwubcnJyUhKSpLqNGvWDE2bNpU+u7q6QqVSScN6GRkZCAoKgr29PczMzGBqaoqCggKpJ+6hLl261Oq1PNleXFwcFi5cqHYtQUFBSEtLw4MHD567/cfvVXx8PMrLy+Hg4KDW/pEjR9Tu1eMKCgowc+ZMtGnTBubm5pDL5UhISFC7L0FBQfjhhx9QVFSEkpISbNmyBePGjXvuWBuKxMREnD59GiNHjgRQ8brB8OHDERYWVqlsVc+Li4vLU9u3tLTEO++8g82bNwMAkpOTcfLkSfj7+0tlYmJiMGDAADRr1gwmJiZwd3cHgErP69/15P+xw4cPqz0zjo6OAFDtc/Os+GxsbNCvXz+sX78eALBnzx4UFxdj2LBhtRI/0dPo1HUARFQ/JCQk4B//+AeAioTH2tq6yvcAn2f5m4CAAGRnZ2PlypVo3rw59PX14erqKk2aeMjY2LhG7WlpaVUaAq1q0s2T7RUUFGDBggUYPHhwpbIGBgY1OvfjnrxX2traiImJgba2tlo5uVxeZf2ZM2fiwIEDWLZsGVq1agVDQ0MMHTpU7b4MGDAA+vr6+OWXX6Cnp4fS0lIMHTr0uWNtKMLCwlBWVgYbGxtpnxAC+vr6WL16NczMzKT9VT0vNXmG/P39MWXKFKxatQpbtmxBhw4d0KFDBwDA/fv34ePjAx8fH2zevBmWlpZITU2Fj49Ppef178jOzkZWVpbaczNgwAC1d3Efsra2rrSvpvFNmDABo0ePxvLlyxEeHo7hw4fDyMhI4/iJnoUJJRHh0KFDiI+Px8cffwwAcHZ2Rnp6OnR0dGBnZ1dtvdTUVNy+fVtKAv744w9oaWmhdevWAIATJ05gzZo16Nu3LwDgxo0bT5108JCenh4AoLy8XG2/paUl0tLSpM95eXlITk5+ZnvOzs5ITEyslffILl++jKioKAQHBwMAOnfujPLycmRmZkrv4j3LiRMnEBgYiEGDBgGoSC5SUlLUyujo6CAgIADh4eHQ09PDiBEjYGhoqHH89VFZWRk2btyIr776Cu+8847asYEDB+KHH37ABx98oPF5fH198f777yMqKgpbtmzBmDFjpGOXL19GdnY2lixZAltbWwDA2bNnNT7nQytXroSWlhYGDhwIoOKZ/Pnnn2FnZwcdnWd/Fdc0vr59+8LY2Bhff/01oqKipAlHRC8aE0qi10xxcTHS09NRXl6OjIwMREVFYfHixejfv7/0Bevl5QVXV1cMHDgQS5cuhYODA27fvo1ff/0VgwYNkoYcDQwMEBAQgGXLliEvLw9TpkyBn58flEolAMDe3l6amZqXl4dZs2bVKClq3rw5ZDIZ9u7di759+8LQ0BByuRy9evVCREQEBgwYAHNzc8yfP79Sr2BV5s+fj/79+6NZs2YYOnQotLS0EBcXh4sXL+Kzzz6rtl5ZWRnS09OhUqmQnZ2N6OhofPbZZ3BycsKsWbMAAA4ODvD398eYMWPw1VdfoXPnzsjKysLBgwfRsWPHKtdTtLe3x44dOzBgwADIZDLMmzevynVAJ0yYgDZt2gCoSEJfVXv37sW9e/cwfvx4tZ5IABgyZAjCwsJqJaE0NjbGwIEDMW/ePCQkJEjD60DF6xt6enpYtWoVPvjgA1y8eBGLFi36W+fJz89Heno6SktLkZycjE2bNmHdunVYvHix9EvNRx99hO+++w4jR47E7NmzoVAocO3aNWzduhXr1q2r9FzXND5tbW0EBgYiODgY9vb2cHV1/VvXQPTc6vQNTiJ6qQICAgQAAUDo6OgIS0tL4eXlJdavXy/Ky8vVyubl5YnJkycLGxsboaurK2xtbYW/v79ITU0VQjyatLJmzRphY2MjDAwMxNChQ8Xdu3elNs6dOye6dOkiDAwMhL29vdi+fXulSQt4bOLE4xYuXCiUSqWQyWQiICBACCFEbm6uGD58uDA1NRW2trYiIiKiykk5VbUXFRUlunXrJgwNDYWpqano2rWrWLt2bbX3KiQkRLpX2traQqFQiLffflssX7680mSlkpISMX/+fGFnZyd0dXWFtbW1GDRokLhw4YIQovKknOTkZNGzZ09haGgobG1txerVq6udgNGjRw/Rrl27auN8FfTv31/07du3ymOnTp0SAERcXFy1k2Kqu3dVPQv79u0TAISbm1ul8lu2bBF2dnZCX19fuLq6it27dwsAIjY2VghR80k5D58bPT090axZM+Hn5ycOHTpUqeyVK1fEoEGDhLm5uTA0NBSOjo5i2rRpQqVSVXldz4rvoaSkJAFALF26tNo4iWqbTIgq1mQgInqG0NBQ7Ny5E+fPn6/rUF5ZQgjY29vjww8/xPTp0+s6HGogjh07Bk9PT9y4cQNWVlZ1HQ69JjjkTURUD2VlZWHr1q1IT09/pdeepNpTXFyMrKwshIaGYtiwYUwm6aViQklEVA81adIEFhYWWLt2LRo1alTX4VAD8MMPP2D8+PFwcnLCxo0b6zoces1wyJuIiIiINMKFzYmIiIhII0woiYiIiEgjTCiJiIiISCNMKImIiIhII0woiYiIiEgjTCiJiIiISCNMKImIiIhII0woiYiIiEgjTCiJiIiISCP/H9w5bXZ427nvAAAAAElFTkSuQmCC\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 0 + }, + "id": "9b3c7432", + "outputId": "e445e3a5-9cba-4248-dd40-9ae003b87545" + }, + "source": [ + "# Initialize the model\n", + "model = LinearRegression()\n", + "\n", + "# Train the model\n", + "model.fit(X_train, y_train)\n", + "\n", + "# Make predictions\n", + "y_pred = model.predict(X_test)\n", + "\n", + "# Evaluate the model\n", + "rmse = np.sqrt(mean_squared_error(y_test, y_pred))\n", + "r2 = r2_score(y_test, y_pred)\n", + "\n", + "print(f\"Root Mean Squared Error (RMSE): {rmse:.2f}\")\n", + "print(f\"R^2 Score: {r2:.4f}\")" + ], + "execution_count": 38, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Root Mean Squared Error (RMSE): 14.90\n", + "R^2 Score: 0.9322\n" + ] + } + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "e230dd7a" + }, + "source": [ + "## 3. Multiple Linear Regression Analysis\n", + "\n", + "Here we build a more comprehensive model including:\n", + "* **Departure Delay & Distance** (Numerical)\n", + "* **Marketing Carrier** (Categorical)\n", + "* **Month & Day of Week** (Categorical - to capture seasonality)" + ] + }, + { + "cell_type": "code", + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 0 + }, + "id": "02b83fcf", + "outputId": "d5934c3b-4064-4010-de1c-cb8caaea4c33" + }, + "source": [ + "# Prepare data for Multiple Linear Regression\n", + "\n", + "# Drop rows where target or predictors are missing\n", + "reg_df = testing_df.dropna(subset=['ARR_DELAY', 'DEP_DELAY', 'DISTANCE']).copy()\n", + "\n", + "# Create dummy variables for Categorical features\n", + "# drop_first=True avoids multicollinearity\n", + "carrier_dummies = pd.get_dummies(reg_df['BRANDED_CODE_SHARE'], prefix='CARRIER', drop_first=True)\n", + "month_dummies = pd.get_dummies(reg_df['MONTH'], prefix='MONTH', drop_first=True)\n", + "day_dummies = pd.get_dummies(reg_df['DAY_OF_WEEK'], prefix='DAY', drop_first=True)\n", + "\n", + "# Define Features (X) and Target (y)\n", + "# Concatenate all features: Numerical + Carriers + Time features\n", + "X = pd.concat([reg_df[['DEP_DELAY', 'DISTANCE']], carrier_dummies, month_dummies, day_dummies], axis=1)\n", + "y = reg_df['ARR_DELAY']\n", + "\n", + "# Split data into training and testing sets\n", + "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n", + "\n", + "print(f\"Data prepared with {X.shape[1]} features.\")\n", + "print(\"Features included (First 10):\", list(X.columns)[:10])" + ], + "execution_count": 40, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Data prepared with 23 features.\n", + "Features included (First 10): ['DEP_DELAY', 'DISTANCE', 'CARRIER_AA_CODESHARE', 'CARRIER_AS', 'CARRIER_AS_CODESHARE', 'CARRIER_B6', 'CARRIER_DL', 'CARRIER_DL_CODESHARE', 'CARRIER_F9', 'CARRIER_G4']\n" + ] + } + ] + }, + { + "cell_type": "code", + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 0 + }, + "id": "60ac4a0d", + "outputId": "b6e9ae90-47dd-4ab6-dda6-8061d4e845d3" + }, + "source": [ + "# Train the Multiple Linear Regression Model\n", + "multi_model = LinearRegression()\n", + "multi_model.fit(X_train, y_train)\n", + "\n", + "# Make predictions\n", + "y_pred_multi = multi_model.predict(X_test)\n", + "\n", + "# Evaluate\n", + "rmse_multi = np.sqrt(mean_squared_error(y_test, y_pred_multi))\n", + "r2_multi = r2_score(y_test, y_pred_multi)\n", + "\n", + "print(f\"Root Mean Squared Error (RMSE): {rmse_multi:.2f}\")\n", + "print(f\"R^2 Score: {r2_multi:.4f}\")" + ], + "execution_count": 41, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Root Mean Squared Error (RMSE): 14.89\n", + "R^2 Score: 0.9324\n" + ] + } + ] + }, + { + "cell_type": "code", + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 564 + }, + "id": "0e29c64f", + "outputId": "f53720fb-42ad-4013-e252-5b4cc8356ccc" + }, + "source": [ + "# Visualize Coefficients to compare impacts\n", + "coef_df_multi = pd.DataFrame({\n", + " 'Feature': X.columns,\n", + " 'Coefficient': multi_model.coef_\n", + "})\n", + "\n", + "# Filter for Carriers to see their specific impact relative to the baseline\n", + "carrier_coefs_multi = coef_df_multi[coef_df_multi['Feature'].str.contains('CARRIER')].sort_values(by='Coefficient', ascending=False)\n", + "\n", + "plt.figure(figsize=(12, 6))\n", + "sns.barplot(x='Coefficient', y='Feature', data=carrier_coefs_multi, palette='coolwarm')\n", + "plt.title('Impact of Marketing Carriers on Arrival Delay (Multiple Regression)')\n", + "plt.xlabel('Coefficient (Minutes of Delay added/subtracted)')\n", + "plt.axvline(0, color='black', linewidth=1)\n", + "plt.show()" + ], + "execution_count": 42, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": "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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [], + "metadata": { + "id": "nsnYoP-DcEVo" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "# Group by Marketing Carrier and Operating Carrier to see specific collaborations\n", + "collaboration_counts = codeshare_flights.groupby(['MKT_UNIQUE_CARRIER', 'OP_UNIQUE_CARRIER']).size().reset_index(name='Flight_Count')\n", + "\n", + "# Sort by Flight Count in descending order\n", + "top_collaborations = collaboration_counts.sort_values(by='Flight_Count', ascending=False)\n", + "\n", + "print(\"Top Airline Collaborations (Marketing -> Operating):\")\n", + "display(top_collaborations.head(10))\n", + "\n", + "# Also check which Operating Carrier does the most codeshare work overall\n", + "top_operating_partners = codeshare_flights['OP_UNIQUE_CARRIER'].value_counts().reset_index()\n", + "top_operating_partners.columns = ['Operating_Carrier', 'Codeshare_Flights_Operated']\n", + "\n", + "print(\"\\nTop Operating Carriers for Codeshare Flights:\")\n", + "display(top_operating_partners.head(10))" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 761 + }, + "id": "vaoxlkfVA9KU", + "outputId": "19561c46-f61e-4dbf-fe43-b340214485b6" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Top Airline Collaborations (Marketing -> Operating):\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + " MKT_UNIQUE_CARRIER OP_UNIQUE_CARRIER Flight_Count\n", + "13 UA OO 80520\n", + "0 AA MQ 65914\n", + "1 AA OH 62548\n", + "9 DL OO 60785\n", + "8 DL 9E 55824\n", + "2 AA OO 36256\n", + "4 AA YX 35438\n", + "3 AA PT 32837\n", + "10 DL YX 24602\n", + "7 AS QX 22755" + ], + "text/html": [ + "\n", + "
\n", + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
MKT_UNIQUE_CARRIEROP_UNIQUE_CARRIERFlight_Count
13UAOO80520
0AAMQ65914
1AAOH62548
9DLOO60785
8DL9E55824
2AAOO36256
4AAYX35438
3AAPT32837
10DLYX24602
7ASQX22755
\n", + "
\n", + "
\n", + "\n", + "
\n", + " \n", + "\n", + " \n", + "\n", + " \n", + "
\n", + "\n", + "\n", + "
\n", + "
\n" + ], + "application/vnd.google.colaboratory.intrinsic+json": { + "type": "dataframe", + "summary": "{\n \"name\": \"display(top_operating_partners\",\n \"rows\": 10,\n \"fields\": [\n {\n \"column\": \"MKT_UNIQUE_CARRIER\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 4,\n \"samples\": [\n \"AA\",\n \"AS\",\n \"UA\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"OP_UNIQUE_CARRIER\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 7,\n \"samples\": [\n \"OO\",\n \"MQ\",\n \"PT\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Flight_Count\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 19789,\n \"min\": 22755,\n \"max\": 80520,\n \"num_unique_values\": 10,\n \"samples\": [\n 24602,\n 65914,\n 36256\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}" + } + }, + "metadata": {} + }, + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\n", + "Top Operating Carriers for Codeshare Flights:\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + " Operating_Carrier Codeshare_Flights_Operated\n", + "0 OO 195308\n", + "1 YX 82220\n", + "2 MQ 65914\n", + "3 OH 62548\n", + "4 9E 55824\n", + "5 PT 32837\n", + "6 QX 22755\n", + "7 YV 19804\n", + "8 C5 19781\n", + "9 G7 16648" + ], + "text/html": [ + "\n", + "
\n", + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Operating_CarrierCodeshare_Flights_Operated
0OO195308
1YX82220
2MQ65914
3OH62548
49E55824
5PT32837
6QX22755
7YV19804
8C519781
9G716648
\n", + "
\n", + "
\n", + "\n", + "
\n", + " \n", + "\n", + " \n", + "\n", + " \n", + "
\n", + "\n", + "\n", + "
\n", + "
\n" + ], + "application/vnd.google.colaboratory.intrinsic+json": { + "type": "dataframe", + "summary": "{\n \"name\": \"display(top_operating_partners\",\n \"rows\": 10,\n \"fields\": [\n {\n \"column\": \"Operating_Carrier\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 10,\n \"samples\": [\n \"C5\",\n \"YX\",\n \"PT\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Codeshare_Flights_Operated\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 53778,\n \"min\": 16648,\n \"max\": 195308,\n \"num_unique_values\": 10,\n \"samples\": [\n 19781,\n 82220,\n 32837\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}" + } + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [], + "metadata": { + "id": "5c33lZiYvCOA" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 882 + }, + "id": "bf827cbc", + "outputId": "60d092ca-405a-46f1-c8da-1f2c531ab679" + }, + "source": [ + "# Filter for American Airlines (AA) marketing flights\n", + "aa_collab_df = testing_df[testing_df['MKT_UNIQUE_CARRIER'] == 'AA']\n", + "\n", + "# Calculate average Departure and Arrival delays by Operating Carrier\n", + "aa_avg_delays = aa_collab_df.groupby('OP_UNIQUE_CARRIER')[['DEP_DELAY', 'ARR_DELAY']].mean().sort_values(by='ARR_DELAY', ascending=False)\n", + "\n", + "print(\"Average Delays for American Airlines (AA) Collaborations:\")\n", + "display(aa_avg_delays)\n", + "\n", + "# Visualization\n", + "plt.figure(figsize=(12, 6))\n", + "aa_avg_delays.plot(kind='bar', figsize=(12, 6), color=['skyblue', 'salmon'])\n", + "plt.title('Average Delays by Operating Carrier for American Airlines (AA)')\n", + "plt.xlabel('Operating Carrier')\n", + "plt.ylabel('Average Delay (Minutes)')\n", + "plt.legend(['Departure Delay', 'Arrival Delay'])\n", + "plt.xticks(rotation=0)\n", + "plt.show()" + ], + "execution_count": 48, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Average Delays for American Airlines (AA) Collaborations:\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + " DEP_DELAY ARR_DELAY\n", + "OP_UNIQUE_CARRIER \n", + "OH 21.092278 18.231798\n", + "ZW 18.378709 17.243150\n", + "OO 14.259267 10.837388\n", + "AA 14.156822 7.902836\n", + "PT 9.077738 5.953550\n", + "MQ 8.318524 4.724026\n", + "YX 5.029822 2.882925" + ], + "text/html": [ + "\n", + "
\n", + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
DEP_DELAYARR_DELAY
OP_UNIQUE_CARRIER
OH21.09227818.231798
ZW18.37870917.243150
OO14.25926710.837388
AA14.1568227.902836
PT9.0777385.953550
MQ8.3185244.724026
YX5.0298222.882925
\n", + "
\n", + "
\n", + "\n", + "
\n", + " \n", + "\n", + " \n", + "\n", + " \n", + "
\n", + "\n", + "\n", + "
\n", + " \n", + " \n", + " \n", + "
\n", + "\n", + "
\n", + "
\n" + ], + "application/vnd.google.colaboratory.intrinsic+json": { + "type": "dataframe", + "variable_name": "aa_avg_delays", + "summary": "{\n \"name\": \"aa_avg_delays\",\n \"rows\": 7,\n \"fields\": [\n {\n \"column\": \"OP_UNIQUE_CARRIER\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 7,\n \"samples\": [\n \"OH\",\n \"ZW\",\n \"MQ\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"DEP_DELAY\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 5.74595740394368,\n \"min\": 5.029822409159949,\n \"max\": 21.092277938941844,\n \"num_unique_values\": 7,\n \"samples\": [\n 21.092277938941844,\n 18.378709235138576,\n 8.318523731331613\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"ARR_DELAY\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 6.048149039197925,\n \"min\": 2.882925399384435,\n \"max\": 18.23179784245031,\n \"num_unique_values\": 7,\n \"samples\": [\n 18.23179784245031,\n 17.24315034862025,\n 4.724026483416487\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}" + } + }, + "metadata": {} + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ] + }, + "metadata": {} + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": "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\n" + }, + "metadata": {} + } + ] + } + ] +} \ No newline at end of file diff --git a/presentations/Presentation/mini_project_1.pptx b/presentations/Presentation/mini_project_1.pptx new file mode 100644 index 0000000..a86decf Binary files /dev/null and b/presentations/Presentation/mini_project_1.pptx differ