From 5ff76b1cbb9296e7cdbc4b6e53617f184bd9835e Mon Sep 17 00:00:00 2001
From: Bryan Prosser <bryan.prosser@dominodatalab.com>
Date: Mon, 18 Nov 2024 09:01:26 -0800
Subject: [PATCH] Pushed from Domino:
 https://ykb.domino-eval.com/workspace/petter/mlops-best-practices?executionId=673b6ddd011f5130a7ff00d2

---
 .ipynb_checkpoints/app-checkpoint.sh          |    4 +-
 app.sh                                        |    4 +-
 monitoring/CreateTrainingSet.ipynb            |  501 -------
 monitoring/DailyScoring.py                    |  111 --
 monitoring/DevelopDailyScoring.ipynb          |  613 ---------
 .../EDA_code-checkpoint.ipynb                 |  678 ++++++++++
 .../sklearn-checkpoint.ipynb                  | 1180 +++++++++++++++++
 .../multitrain-checkpoint.py                  |   36 +-
 .../sklearn_log_reg_train-checkpoint.py       |  229 ++++
 scripts/multitrain.py                         |   22 -
 10 files changed, 2110 insertions(+), 1268 deletions(-)
 delete mode 100644 monitoring/CreateTrainingSet.ipynb
 delete mode 100644 monitoring/DailyScoring.py
 delete mode 100644 monitoring/DevelopDailyScoring.ipynb
 create mode 100644 notebooks/.ipynb_checkpoints/EDA_code-checkpoint.ipynb
 create mode 100644 notebooks/.ipynb_checkpoints/sklearn-checkpoint.ipynb
 create mode 100644 scripts/.ipynb_checkpoints/sklearn_log_reg_train-checkpoint.py

diff --git a/.ipynb_checkpoints/app-checkpoint.sh b/.ipynb_checkpoints/app-checkpoint.sh
index 7f78125..fea5999 100755
--- a/.ipynb_checkpoints/app-checkpoint.sh
+++ b/.ipynb_checkpoints/app-checkpoint.sh
@@ -2,9 +2,9 @@ mkdir ~/.streamlit
 echo "[browser]" > ~/.streamlit/config.toml
 echo "gatherUsageStats = true" >> ~/.streamlit/config.toml
 echo "serverAddress = \"0.0.0.0\"" >> ~/.streamlit/config.toml
-echo "serverPort = 8501" >> ~/.streamlit/config.toml
+echo "serverPort = 8888" >> ~/.streamlit/config.toml
 echo "[server]" >> ~/.streamlit/config.toml
-echo "port = 8501" >> ~/.streamlit/config.toml
+echo "port = 8888" >> ~/.streamlit/config.toml
 echo "enableCORS = false" >> ~/.streamlit/config.toml
 echo "enableXsrfProtection = false" >> ~/.streamlit/config.toml
  
diff --git a/app.sh b/app.sh
index 7f78125..fea5999 100755
--- a/app.sh
+++ b/app.sh
@@ -2,9 +2,9 @@ mkdir ~/.streamlit
 echo "[browser]" > ~/.streamlit/config.toml
 echo "gatherUsageStats = true" >> ~/.streamlit/config.toml
 echo "serverAddress = \"0.0.0.0\"" >> ~/.streamlit/config.toml
-echo "serverPort = 8501" >> ~/.streamlit/config.toml
+echo "serverPort = 8888" >> ~/.streamlit/config.toml
 echo "[server]" >> ~/.streamlit/config.toml
-echo "port = 8501" >> ~/.streamlit/config.toml
+echo "port = 8888" >> ~/.streamlit/config.toml
 echo "enableCORS = false" >> ~/.streamlit/config.toml
 echo "enableXsrfProtection = false" >> ~/.streamlit/config.toml
  
diff --git a/monitoring/CreateTrainingSet.ipynb b/monitoring/CreateTrainingSet.ipynb
deleted file mode 100644
index 8846296..0000000
--- a/monitoring/CreateTrainingSet.ipynb
+++ /dev/null
@@ -1,501 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "id": "d347b9a5-1b7c-49aa-988f-b2901c0ed897",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import domino\n",
-    "from domino.training_sets import TrainingSetClient, model\n",
-    "import pandas as pd\n",
-    "import os"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "id": "98d1266b-856d-4129-900a-618820530e4a",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>id</th>\n",
-       "      <th>type</th>\n",
-       "      <th>fixed acidity</th>\n",
-       "      <th>volatile acidity</th>\n",
-       "      <th>citric acid</th>\n",
-       "      <th>residual sugar</th>\n",
-       "      <th>chlorides</th>\n",
-       "      <th>free sulfur dioxide</th>\n",
-       "      <th>total sulfur dioxide</th>\n",
-       "      <th>density</th>\n",
-       "      <th>pH</th>\n",
-       "      <th>sulphates</th>\n",
-       "      <th>alcohol</th>\n",
-       "      <th>quality</th>\n",
-       "      <th>is_red</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>0</td>\n",
-       "      <td>white</td>\n",
-       "      <td>7.0</td>\n",
-       "      <td>0.27</td>\n",
-       "      <td>0.36</td>\n",
-       "      <td>20.7</td>\n",
-       "      <td>0.045</td>\n",
-       "      <td>45.0</td>\n",
-       "      <td>170.0</td>\n",
-       "      <td>1.0010</td>\n",
-       "      <td>3.00</td>\n",
-       "      <td>0.45</td>\n",
-       "      <td>8.8</td>\n",
-       "      <td>5.58</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>1</td>\n",
-       "      <td>white</td>\n",
-       "      <td>6.3</td>\n",
-       "      <td>0.30</td>\n",
-       "      <td>0.34</td>\n",
-       "      <td>1.6</td>\n",
-       "      <td>0.049</td>\n",
-       "      <td>14.0</td>\n",
-       "      <td>132.0</td>\n",
-       "      <td>0.9940</td>\n",
-       "      <td>3.30</td>\n",
-       "      <td>0.49</td>\n",
-       "      <td>9.5</td>\n",
-       "      <td>5.04</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>2</td>\n",
-       "      <td>white</td>\n",
-       "      <td>8.1</td>\n",
-       "      <td>0.28</td>\n",
-       "      <td>0.40</td>\n",
-       "      <td>6.9</td>\n",
-       "      <td>0.050</td>\n",
-       "      <td>30.0</td>\n",
-       "      <td>97.0</td>\n",
-       "      <td>0.9951</td>\n",
-       "      <td>3.26</td>\n",
-       "      <td>0.44</td>\n",
-       "      <td>10.1</td>\n",
-       "      <td>5.34</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>3</td>\n",
-       "      <td>white</td>\n",
-       "      <td>7.2</td>\n",
-       "      <td>0.23</td>\n",
-       "      <td>0.32</td>\n",
-       "      <td>8.5</td>\n",
-       "      <td>0.058</td>\n",
-       "      <td>47.0</td>\n",
-       "      <td>186.0</td>\n",
-       "      <td>0.9956</td>\n",
-       "      <td>3.19</td>\n",
-       "      <td>0.40</td>\n",
-       "      <td>9.9</td>\n",
-       "      <td>4.92</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>4</td>\n",
-       "      <td>white</td>\n",
-       "      <td>7.2</td>\n",
-       "      <td>0.23</td>\n",
-       "      <td>0.32</td>\n",
-       "      <td>8.5</td>\n",
-       "      <td>0.058</td>\n",
-       "      <td>47.0</td>\n",
-       "      <td>186.0</td>\n",
-       "      <td>0.9956</td>\n",
-       "      <td>3.19</td>\n",
-       "      <td>0.40</td>\n",
-       "      <td>9.9</td>\n",
-       "      <td>5.16</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "   id   type  fixed acidity  volatile acidity  citric acid  residual sugar  \\\n",
-       "0   0  white            7.0              0.27         0.36            20.7   \n",
-       "1   1  white            6.3              0.30         0.34             1.6   \n",
-       "2   2  white            8.1              0.28         0.40             6.9   \n",
-       "3   3  white            7.2              0.23         0.32             8.5   \n",
-       "4   4  white            7.2              0.23         0.32             8.5   \n",
-       "\n",
-       "   chlorides  free sulfur dioxide  total sulfur dioxide  density    pH  \\\n",
-       "0      0.045                 45.0                 170.0   1.0010  3.00   \n",
-       "1      0.049                 14.0                 132.0   0.9940  3.30   \n",
-       "2      0.050                 30.0                  97.0   0.9951  3.26   \n",
-       "3      0.058                 47.0                 186.0   0.9956  3.19   \n",
-       "4      0.058                 47.0                 186.0   0.9956  3.19   \n",
-       "\n",
-       "   sulphates  alcohol  quality  is_red  \n",
-       "0       0.45      8.8     5.58       0  \n",
-       "1       0.49      9.5     5.04       0  \n",
-       "2       0.44     10.1     5.34       0  \n",
-       "3       0.40      9.9     4.92       0  \n",
-       "4       0.40      9.9     5.16       0  "
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "path = str('/domino/datasets/local/{}/WineQualityData.csv'.format(os.environ.get('DOMINO_PROJECT_NAME')))\n",
-    "training_df = pd.read_csv(path)\n",
-    "training_df.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "id": "b178d541-ee88-491d-b1b2-905a3f41bfc2",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "#Find all pearson correlations of numerical variables with quality\n",
-    "corr_values = training_df.corr().sort_values(by = 'quality')['quality'].drop('quality',axis=0)\n",
-    "\n",
-    "#Keep all variables with above a 8% pearson correlation\n",
-    "important_feats=corr_values[abs(corr_values)>0.08]\n",
-    "\n",
-    "#Drop NA rows\n",
-    "training_df = training_df.dropna(how='any',axis=0)\n",
-    "\n",
-    "#Put pieces together\n",
-    "training_df = training_df[['id']+list(important_feats.keys())+['quality']]\n",
-    "\n",
-    "#rename volatile acidity to volatile_acidity\n",
-    "training_df.rename({'volatile acidity': 'volatile_acidity'}, axis =1, inplace=True)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "id": "f11b502c-3440-4021-bec3-f06989563371",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>id</th>\n",
-       "      <th>density</th>\n",
-       "      <th>volatile_acidity</th>\n",
-       "      <th>chlorides</th>\n",
-       "      <th>is_red</th>\n",
-       "      <th>alcohol</th>\n",
-       "      <th>quality</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>0</td>\n",
-       "      <td>1.00100</td>\n",
-       "      <td>0.270</td>\n",
-       "      <td>0.045</td>\n",
-       "      <td>0</td>\n",
-       "      <td>8.8</td>\n",
-       "      <td>5.58</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>1</td>\n",
-       "      <td>0.99400</td>\n",
-       "      <td>0.300</td>\n",
-       "      <td>0.049</td>\n",
-       "      <td>0</td>\n",
-       "      <td>9.5</td>\n",
-       "      <td>5.04</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>2</td>\n",
-       "      <td>0.99510</td>\n",
-       "      <td>0.280</td>\n",
-       "      <td>0.050</td>\n",
-       "      <td>0</td>\n",
-       "      <td>10.1</td>\n",
-       "      <td>5.34</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>3</td>\n",
-       "      <td>0.99560</td>\n",
-       "      <td>0.230</td>\n",
-       "      <td>0.058</td>\n",
-       "      <td>0</td>\n",
-       "      <td>9.9</td>\n",
-       "      <td>4.92</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>4</td>\n",
-       "      <td>0.99560</td>\n",
-       "      <td>0.230</td>\n",
-       "      <td>0.058</td>\n",
-       "      <td>0</td>\n",
-       "      <td>9.9</td>\n",
-       "      <td>5.16</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6491</th>\n",
-       "      <td>6491</td>\n",
-       "      <td>0.99651</td>\n",
-       "      <td>0.620</td>\n",
-       "      <td>0.068</td>\n",
-       "      <td>1</td>\n",
-       "      <td>9.5</td>\n",
-       "      <td>5.10</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6492</th>\n",
-       "      <td>6492</td>\n",
-       "      <td>0.99490</td>\n",
-       "      <td>0.600</td>\n",
-       "      <td>0.090</td>\n",
-       "      <td>1</td>\n",
-       "      <td>10.5</td>\n",
-       "      <td>5.60</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6494</th>\n",
-       "      <td>6494</td>\n",
-       "      <td>0.99574</td>\n",
-       "      <td>0.510</td>\n",
-       "      <td>0.076</td>\n",
-       "      <td>1</td>\n",
-       "      <td>11.0</td>\n",
-       "      <td>6.18</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6495</th>\n",
-       "      <td>6495</td>\n",
-       "      <td>0.99547</td>\n",
-       "      <td>0.645</td>\n",
-       "      <td>0.075</td>\n",
-       "      <td>1</td>\n",
-       "      <td>10.2</td>\n",
-       "      <td>5.65</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6496</th>\n",
-       "      <td>6496</td>\n",
-       "      <td>0.99549</td>\n",
-       "      <td>0.310</td>\n",
-       "      <td>0.067</td>\n",
-       "      <td>1</td>\n",
-       "      <td>11.0</td>\n",
-       "      <td>5.22</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>6463 rows × 7 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "        id  density  volatile_acidity  chlorides  is_red  alcohol  quality\n",
-       "0        0  1.00100             0.270      0.045       0      8.8     5.58\n",
-       "1        1  0.99400             0.300      0.049       0      9.5     5.04\n",
-       "2        2  0.99510             0.280      0.050       0     10.1     5.34\n",
-       "3        3  0.99560             0.230      0.058       0      9.9     4.92\n",
-       "4        4  0.99560             0.230      0.058       0      9.9     5.16\n",
-       "...    ...      ...               ...        ...     ...      ...      ...\n",
-       "6491  6491  0.99651             0.620      0.068       1      9.5     5.10\n",
-       "6492  6492  0.99490             0.600      0.090       1     10.5     5.60\n",
-       "6494  6494  0.99574             0.510      0.076       1     11.0     6.18\n",
-       "6495  6495  0.99547             0.645      0.075       1     10.2     5.65\n",
-       "6496  6496  0.99549             0.310      0.067       1     11.0     5.22\n",
-       "\n",
-       "[6463 rows x 7 columns]"
-      ]
-     },
-     "execution_count": 4,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "training_df"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "id": "692d372c-e314-4e11-abc7-d62d541e9319",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'integration-test'"
-      ]
-     },
-     "execution_count": 6,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "os.environ.get('DOMINO_PROJECT_OWNER')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "id": "19a0efc3-3f94-4deb-a182-f656c7879c07",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "TrainingSetVersion winequality-training-:1\n"
-     ]
-    }
-   ],
-   "source": [
-    "tsv = TrainingSetClient.create_training_set_version(\n",
-    "    training_set_name=\"winequality-training-\",\n",
-    "    df=training_df,\n",
-    "    key_columns=[\"id\"],\n",
-    "    target_columns=[\"quality\"],\n",
-    "    exclude_columns=[],\n",
-    "    meta={\"elliotts_meta_data\": \"0.1\"},\n",
-    "    monitoring_meta=model.MonitoringMeta(**{\n",
-    "        \"categorical_columns\": [],\n",
-    "        \"timestamp_columns\": [],\n",
-    "        \"ordinal_columns\": []\n",
-    "    }),\n",
-    "    project_name=str(os.environ.get('DOMINO_PROJECT_OWNER')+os.environ.get('DOMINO_PROJECT_NAME'))\n",
-    ")\n",
-    "\n",
-    "print(f\"TrainingSetVersion {tsv.training_set_name}:{tsv.number}\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 24,
-   "id": "e5d84eab-430c-4ac9-9a22-c230246399ea",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "['id',\n",
-       " 'density',\n",
-       " 'volatile_acidity',\n",
-       " 'chlorides',\n",
-       " 'is_red',\n",
-       " 'alcohol',\n",
-       " 'quality']"
-      ]
-     },
-     "execution_count": 24,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "tsv.all_columns"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "abe218a4-e094-40b3-8793-6850f2908f59",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.12"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/monitoring/DailyScoring.py b/monitoring/DailyScoring.py
deleted file mode 100644
index f4741de..0000000
--- a/monitoring/DailyScoring.py
+++ /dev/null
@@ -1,111 +0,0 @@
-import pandas as pd
-import numpy as np
-import random
-import math
-import pickle
-import json
-import os
-import requests
-import datetime
-import boto3
-from botocore.exceptions import NoCredentialsError
-from domino.training_sets import TrainingSetClient, model
-
-#set DMM vars
-bucket = 'wine-quality-monitoring'
-
-#Load in data
-
-print('Reading in data for batch scoring')
-df = TrainingSetClient.get_training_set_version('winequality-training-domino-admin', number = 4).load_raw_pandas()
-
-df2 = df.append(df).reset_index(drop=True)
-
-##For each input feature adjust data and round/cast as necessary
-#Density - 50%-150
-densityJitter = df2.density.apply(lambda x : x*(random.randrange(50,150))/100).round(4)
-#volatile acidity - 70%-130%
-volatileAcidityJitter = df2.volatile_acidity.apply(lambda x : x*(random.randrange(70,130)/100)).round(2)
-#Chlorides - 80%-120%
-chloridesJitter = df2.chlorides.apply(lambda x : x*(random.randrange(80,120)/100)).round(3)
-#is_red - 40%-160%
-is_redJitter = df2.is_red.apply(lambda x : x*(random.randrange(40,160)/100)).round(0)
-#alcohol - 90%-110%
-alcoholJitter = df2.alcohol.apply(lambda x : x*(random.randrange(90,110)/100)).round(1)
-
-#Take all the new 'jittered' variables and write to a new df
-#Keep original custid and churn_Y fields
-df3 = pd.DataFrame({'id': df2.id,
-       'density': densityJitter, 
-       'volatile_acidity': volatileAcidityJitter,
-       'chlorides': chloridesJitter,
-       'is_red': is_redJitter,
-       'alcohol': alcoholJitter,
-       'quality': df2.quality
-                   })
-
-#Grab between 50 and 500 random rows from jittered data
-df_inf = df3.sample(n = random.randint(50,100)).reset_index(drop=True)
-
-#set up clean customer_ids
-setup_ids = list(range(0, df_inf.shape[0]))
-ids = list()
-for i in setup_ids:
-    ids.append(str(datetime.date.today())+'_'+str(setup_ids[i]))
-    
-df_inf['wine_id']=ids    
-print('Sending {} records to model API endpoint for scoring'.format(df_inf.shape[0]))
-
-#Set up dictionaries and lists for loops
-setup_dict = {}
-scoring_request = {}
-results = list()
-
-inputs = df_inf[['wine_id','density', 'volatile_acidity', 'chlorides', 'is_red', 'alcohol']]
-
-for n in range(inputs.shape[0]):
-    for i in list(inputs.columns):
-        setup_dict.update({i :list(inputs[n:n+1].to_dict().get(i).values())[0]})
-        scoring_request = {'data' : setup_dict}
-        
-        
-    response = requests.post("https://rev4mlops.domino-eval.com:443/models/646b7aa803e97e4d244dba2a/latest/model",
-    auth=(
-        "3OOzvWW9oCneKZnagRZ6ac4lbZ3mseyIxeOB3Yk2XvznYly3tY89UKQgDoatkm2H",
-        "3OOzvWW9oCneKZnagRZ6ac4lbZ3mseyIxeOB3Yk2XvznYly3tY89UKQgDoatkm2H"
-    ),
-        json=scoring_request
-    )
-    results.append(response.json().get('result').get('prediction'))
-    
-print('Scoring complete')
-
-df_ground_truth=df_inf[['wine_id', 'quality']].rename({'wine_id': 'event_id', 'quality' : 'quality_GT'}, axis=1)
-print(df_ground_truth.shape[0]==inputs.shape[0])
-print((df_ground_truth.event_id==inputs.wine_id).sum()==df_ground_truth.shape[0])
-
-gt_file_name = str('GT_Data_') + str(datetime.date.today())+str('.csv')
-gt_file_path = str('/domino/datasets/local/ground_truth_data/')+gt_file_name
-df_ground_truth.to_csv(gt_file_path, index=False)
-
-def s3_upload(local_file, bucket):
-    s3 = boto3.client('s3', aws_access_key_id=os.environ['AWS_ACCESS_KEY_ID'],
-                      aws_secret_access_key=os.environ['AWS_SECRET_ACCESS_KEY'])
-    
-    s3_file_name = '{}'.format(os.path.basename(local_file))
-    
-    try:
-        s3.upload_file(local_file, bucket, s3_file_name)
-        print(str(s3_file_name) + " Upload Successful")
-        return True
-    except FileNotFoundError:
-        print("The file was not found")
-        return False
-    except NoCredentialsError:
-        print("Credentials not available")
-        return False
-    
-s3_upload(gt_file_path, bucket)
-
-print('Data Uploaded to s3 bucket at s3://{}/{}'.format(bucket, gt_file_name))
-print('Done!')
diff --git a/monitoring/DevelopDailyScoring.ipynb b/monitoring/DevelopDailyScoring.ipynb
deleted file mode 100644
index 9bcd41e..0000000
--- a/monitoring/DevelopDailyScoring.ipynb
+++ /dev/null
@@ -1,613 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "id": "2f2933f0-38f0-4a43-bbe4-6710388a98de",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "import pandas as pd\n",
-    "import numpy as np\n",
-    "import random\n",
-    "import math\n",
-    "import pickle\n",
-    "import json\n",
-    "import os\n",
-    "import requests\n",
-    "import datetime\n",
-    "import boto3\n",
-    "from botocore.exceptions import NoCredentialsError\n",
-    "from domino.training_sets import TrainingSetClient, model\n",
-    "\n",
-    "#set DMM vars\n",
-    "bucket = 'wine-quality-monitoring'\n",
-    "\n",
-    "#Load in data"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "id": "0aaa2fb6-1546-4075-9778-695f515e0850",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Reading in data for batch scoring\n"
-     ]
-    }
-   ],
-   "source": [
-    "print('Reading in data for batch scoring')\n",
-    "df = TrainingSetClient.get_training_set_version('winequality-training-domino-admin', number = 1).load_raw_pandas()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "id": "c36d759d-2784-4a7d-8c38-515e6a2105eb",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>id</th>\n",
-       "      <th>density</th>\n",
-       "      <th>volatile_acidity</th>\n",
-       "      <th>chlorides</th>\n",
-       "      <th>is_red</th>\n",
-       "      <th>alcohol</th>\n",
-       "      <th>quality</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>0</td>\n",
-       "      <td>1.0010</td>\n",
-       "      <td>0.27</td>\n",
-       "      <td>0.045</td>\n",
-       "      <td>0</td>\n",
-       "      <td>8.8</td>\n",
-       "      <td>5.58</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>1</td>\n",
-       "      <td>0.9940</td>\n",
-       "      <td>0.30</td>\n",
-       "      <td>0.049</td>\n",
-       "      <td>0</td>\n",
-       "      <td>9.5</td>\n",
-       "      <td>5.04</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>2</td>\n",
-       "      <td>0.9951</td>\n",
-       "      <td>0.28</td>\n",
-       "      <td>0.050</td>\n",
-       "      <td>0</td>\n",
-       "      <td>10.1</td>\n",
-       "      <td>5.34</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>3</td>\n",
-       "      <td>0.9956</td>\n",
-       "      <td>0.23</td>\n",
-       "      <td>0.058</td>\n",
-       "      <td>0</td>\n",
-       "      <td>9.9</td>\n",
-       "      <td>4.92</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>4</td>\n",
-       "      <td>0.9956</td>\n",
-       "      <td>0.23</td>\n",
-       "      <td>0.058</td>\n",
-       "      <td>0</td>\n",
-       "      <td>9.9</td>\n",
-       "      <td>5.16</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "   id  density  volatile_acidity  chlorides  is_red  alcohol  quality\n",
-       "0   0   1.0010              0.27      0.045       0      8.8     5.58\n",
-       "1   1   0.9940              0.30      0.049       0      9.5     5.04\n",
-       "2   2   0.9951              0.28      0.050       0     10.1     5.34\n",
-       "3   3   0.9956              0.23      0.058       0      9.9     4.92\n",
-       "4   4   0.9956              0.23      0.058       0      9.9     5.16"
-      ]
-     },
-     "execution_count": 4,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "id": "c89eab1f-d669-4941-8d57-800ddbf671dc",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/tmp/ipykernel_620/2998420595.py:1: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.\n",
-      "  df2 = df.append(df).reset_index(drop=True)\n"
-     ]
-    }
-   ],
-   "source": [
-    "df2 = df.append(df).reset_index(drop=True)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "id": "f3774aa5-9555-40c3-845a-ae8a7555fa78",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "Index(['id', 'density', 'volatile_acidity', 'chlorides', 'is_red', 'alcohol',\n",
-       "       'quality'],\n",
-       "      dtype='object')"
-      ]
-     },
-     "execution_count": 6,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df.columns"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "id": "85cf15f0-4067-4ab1-9e54-13f011e15ede",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "##For each input feature adjust data and round/cast as necessary\n",
-    "#Density - 50%-150\n",
-    "densityJitter = df2.density.apply(lambda x : x*(random.randrange(50,150))/100).round(4)\n",
-    "#volatile acidity - 70%-130%\n",
-    "volatileAcidityJitter = df2.volatile_acidity.apply(lambda x : x*(random.randrange(70,130)/100)).round(2)\n",
-    "#Chlorides - 80%-120%\n",
-    "chloridesJitter = df2.chlorides.apply(lambda x : x*(random.randrange(80,120)/100)).round(3)\n",
-    "#is_red - 40%-160%\n",
-    "is_redJitter = df2.is_red.apply(lambda x : x*(random.randrange(40,160)/100)).round(0)\n",
-    "#alcohol - 90%-110%\n",
-    "alcoholJitter = df2.alcohol.apply(lambda x : x*(random.randrange(90,110)/100)).round(1)\n",
-    "\n",
-    "#Take all the new 'jittered' variables and write to a new df\n",
-    "#Keep original custid and churn_Y fields\n",
-    "df3 = pd.DataFrame({'id': df2.id,\n",
-    "       'density': densityJitter, \n",
-    "       'volatile_acidity': volatileAcidityJitter,\n",
-    "       'chlorides': chloridesJitter,\n",
-    "       'is_red': is_redJitter,\n",
-    "       'alcohol': alcoholJitter,\n",
-    "       'quality': df2.quality\n",
-    "                   })"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "id": "7df2d537-c2b5-43be-bdc4-522977876ab7",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>id</th>\n",
-       "      <th>density</th>\n",
-       "      <th>volatile_acidity</th>\n",
-       "      <th>chlorides</th>\n",
-       "      <th>is_red</th>\n",
-       "      <th>alcohol</th>\n",
-       "      <th>quality</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>0</td>\n",
-       "      <td>1.3614</td>\n",
-       "      <td>0.19</td>\n",
-       "      <td>0.045</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>9.5</td>\n",
-       "      <td>5.58</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>1</td>\n",
-       "      <td>0.8250</td>\n",
-       "      <td>0.37</td>\n",
-       "      <td>0.044</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>9.2</td>\n",
-       "      <td>5.04</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>2</td>\n",
-       "      <td>1.2439</td>\n",
-       "      <td>0.31</td>\n",
-       "      <td>0.041</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>10.9</td>\n",
-       "      <td>5.34</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>3</td>\n",
-       "      <td>1.0155</td>\n",
-       "      <td>0.29</td>\n",
-       "      <td>0.049</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>10.3</td>\n",
-       "      <td>4.92</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>4</td>\n",
-       "      <td>0.9657</td>\n",
-       "      <td>0.27</td>\n",
-       "      <td>0.066</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>9.7</td>\n",
-       "      <td>5.16</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>12921</th>\n",
-       "      <td>6491</td>\n",
-       "      <td>1.1858</td>\n",
-       "      <td>0.51</td>\n",
-       "      <td>0.058</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>9.9</td>\n",
-       "      <td>5.10</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>12922</th>\n",
-       "      <td>6492</td>\n",
-       "      <td>0.8855</td>\n",
-       "      <td>0.49</td>\n",
-       "      <td>0.074</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>10.4</td>\n",
-       "      <td>5.60</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>12923</th>\n",
-       "      <td>6494</td>\n",
-       "      <td>1.3841</td>\n",
-       "      <td>0.44</td>\n",
-       "      <td>0.074</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>11.2</td>\n",
-       "      <td>6.18</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>12924</th>\n",
-       "      <td>6495</td>\n",
-       "      <td>0.9756</td>\n",
-       "      <td>0.51</td>\n",
-       "      <td>0.076</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>10.8</td>\n",
-       "      <td>5.65</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>12925</th>\n",
-       "      <td>6496</td>\n",
-       "      <td>0.8063</td>\n",
-       "      <td>0.27</td>\n",
-       "      <td>0.067</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>10.3</td>\n",
-       "      <td>5.22</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>12926 rows × 7 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "         id  density  volatile_acidity  chlorides  is_red  alcohol  quality\n",
-       "0         0   1.3614              0.19      0.045     0.0      9.5     5.58\n",
-       "1         1   0.8250              0.37      0.044     0.0      9.2     5.04\n",
-       "2         2   1.2439              0.31      0.041     0.0     10.9     5.34\n",
-       "3         3   1.0155              0.29      0.049     0.0     10.3     4.92\n",
-       "4         4   0.9657              0.27      0.066     0.0      9.7     5.16\n",
-       "...     ...      ...               ...        ...     ...      ...      ...\n",
-       "12921  6491   1.1858              0.51      0.058     1.0      9.9     5.10\n",
-       "12922  6492   0.8855              0.49      0.074     1.0     10.4     5.60\n",
-       "12923  6494   1.3841              0.44      0.074     0.0     11.2     6.18\n",
-       "12924  6495   0.9756              0.51      0.076     1.0     10.8     5.65\n",
-       "12925  6496   0.8063              0.27      0.067     1.0     10.3     5.22\n",
-       "\n",
-       "[12926 rows x 7 columns]"
-      ]
-     },
-     "execution_count": 8,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df3"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "id": "0ee05323-08ee-4102-9cca-7c9ad7034f6a",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "#Grab between 50 and 500 random rows from jittered data\n",
-    "df_inf = df3.sample(n = random.randint(50,100)).reset_index(drop=True)\n",
-    "\n",
-    "#set up clean customer_ids\n",
-    "setup_ids = list(range(0, df_inf.shape[0]))\n",
-    "ids = list()\n",
-    "for i in setup_ids:\n",
-    "    ids.append(str(datetime.date.today())+'_'+str(setup_ids[i]))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "id": "39c02b5e-6f0d-4dd6-adcd-69603d2b1193",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Sending 90 records to model API endpoint for scoring\n"
-     ]
-    }
-   ],
-   "source": [
-    "df_inf['wine_id']=ids    \n",
-    "print('Sending {} records to model API endpoint for scoring'.format(df_inf.shape[0]))\n",
-    "\n",
-    "#Set up dictionaries and lists for loops\n",
-    "setup_dict = {}\n",
-    "scoring_request = {}\n",
-    "results = list()\n",
-    "\n",
-    "inputs = df_inf[['wine_id','density', 'volatile_acidity', 'chlorides', 'is_red', 'alcohol']]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "id": "2b7229db-97a1-4210-96fc-abf579ac2d51",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Scoring complete\n"
-     ]
-    }
-   ],
-   "source": [
-    "for n in range(inputs.shape[0]):\n",
-    "    for i in list(inputs.columns):\n",
-    "        setup_dict.update({i :list(inputs[n:n+1].to_dict().get(i).values())[0]})\n",
-    "        scoring_request = {'data' : setup_dict}\n",
-    "        \n",
-    "        \n",
-    "    response = requests.post(\"https://rev4mlops.domino-eval.com:443/models/646b7aa803e97e4d244dba2a/latest/model\",\n",
-    "    auth=(\n",
-    "        \"3OOzvWW9oCneKZnagRZ6ac4lbZ3mseyIxeOB3Yk2XvznYly3tY89UKQgDoatkm2H\",\n",
-    "        \"3OOzvWW9oCneKZnagRZ6ac4lbZ3mseyIxeOB3Yk2XvznYly3tY89UKQgDoatkm2H\"\n",
-    "    ),\n",
-    "        json=scoring_request\n",
-    "    )\n",
-    "    results.append(response.json().get('result').get('prediction'))\n",
-    "\n",
-    "print('Scoring complete')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "id": "b333901c-5e70-45f5-8055-b9b5b418585a",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "True\n",
-      "True\n"
-     ]
-    }
-   ],
-   "source": [
-    "df_ground_truth=df_inf[['wine_id', 'quality']].rename({'wine_id': 'event_id', 'quality' : 'quality_GT'}, axis=1)\n",
-    "print(df_ground_truth.shape[0]==inputs.shape[0])\n",
-    "print((df_ground_truth.event_id==inputs.wine_id).sum()==df_ground_truth.shape[0])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "id": "7deb3077-fa88-4125-bc5b-aa85a68c8c6b",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "gt_file_name = str('GT_Data_') + str(datetime.date.today())+str('.csv')\n",
-    "gt_file_path = str('/domino/datasets/local/ground_truth_data/')+gt_file_name\n",
-    "df_ground_truth.to_csv(gt_file_path, index=False)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "id": "5090418b-072c-4b4b-a38e-1729fcc80a9c",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "GT_Data_2023-05-22.csv Upload Successful\n",
-      "Data Uploaded to s3 bucket at s3://wine-quality-monitoring/GT_Data_2023-05-22.csv\n",
-      "Done!\n"
-     ]
-    }
-   ],
-   "source": [
-    "def s3_upload(local_file, bucket):\n",
-    "    s3 = boto3.client('s3', aws_access_key_id=os.environ['AWS_ACCESS_KEY_ID'],\n",
-    "                      aws_secret_access_key=os.environ['AWS_SECRET_ACCESS_KEY'])\n",
-    "    \n",
-    "    s3_file_name = '{}'.format(os.path.basename(local_file))\n",
-    "    \n",
-    "    try:\n",
-    "        s3.upload_file(local_file, bucket, s3_file_name)\n",
-    "        print(str(s3_file_name) + \" Upload Successful\")\n",
-    "        return True\n",
-    "    except FileNotFoundError:\n",
-    "        print(\"The file was not found\")\n",
-    "        return False\n",
-    "    except NoCredentialsError:\n",
-    "        print(\"Credentials not available\")\n",
-    "        return False\n",
-    "    \n",
-    "s3_upload(gt_file_path, bucket)\n",
-    "\n",
-    "print('Data Uploaded to s3 bucket at s3://{}/{}'.format(bucket, gt_file_name))\n",
-    "print('Done!')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "33a896f5-2d13-498b-98cc-787dcab2cc5e",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.9.16"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/notebooks/.ipynb_checkpoints/EDA_code-checkpoint.ipynb b/notebooks/.ipynb_checkpoints/EDA_code-checkpoint.ipynb
new file mode 100644
index 0000000..2006b62
--- /dev/null
+++ b/notebooks/.ipynb_checkpoints/EDA_code-checkpoint.ipynb
@@ -0,0 +1,678 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "fc64549a-a157-4192-8ba3-eff7dc83a69a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from domino.data_sources import DataSourceClient\n",
+    "\n",
+    "# instantiate a client and fetch the datasource instance\n",
+    "s3_dev = DataSourceClient().get_datasource(\"domino-winequality-workshop\")\n",
+    "\n",
+    "# list objects available in the datasource\n",
+    "objects = s3_dev.list_objects()\n",
+    "\n",
+    "## get content as binary\n",
+    "# content = s3_dev.get(\"key\")\n",
+    "\n",
+    "## download content to file\n",
+    "# s3_dev.download_file(\"key\", \"./path/to/local/file\")\n",
+    "\n",
+    "## Download content to file object\n",
+    "# f = io.BytesIO()\n",
+    "# s3_dev.download_fileobj(\"key\", f)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "0d871e1a-379a-4dc4-90f7-6a7d90eccaa6",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>type</th>\n",
+       "      <th>fixed acidity</th>\n",
+       "      <th>volatile acidity</th>\n",
+       "      <th>citric acid</th>\n",
+       "      <th>residual sugar</th>\n",
+       "      <th>chlorides</th>\n",
+       "      <th>free sulfur dioxide</th>\n",
+       "      <th>total sulfur dioxide</th>\n",
+       "      <th>density</th>\n",
+       "      <th>pH</th>\n",
+       "      <th>sulphates</th>\n",
+       "      <th>alcohol</th>\n",
+       "      <th>quality</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>white</td>\n",
+       "      <td>7.0</td>\n",
+       "      <td>0.27</td>\n",
+       "      <td>0.36</td>\n",
+       "      <td>20.7</td>\n",
+       "      <td>0.045</td>\n",
+       "      <td>45.0</td>\n",
+       "      <td>170.0</td>\n",
+       "      <td>1.0010</td>\n",
+       "      <td>3.00</td>\n",
+       "      <td>0.45</td>\n",
+       "      <td>8.8</td>\n",
+       "      <td>5.58</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>white</td>\n",
+       "      <td>6.3</td>\n",
+       "      <td>0.30</td>\n",
+       "      <td>0.34</td>\n",
+       "      <td>1.6</td>\n",
+       "      <td>0.049</td>\n",
+       "      <td>14.0</td>\n",
+       "      <td>132.0</td>\n",
+       "      <td>0.9940</td>\n",
+       "      <td>3.30</td>\n",
+       "      <td>0.49</td>\n",
+       "      <td>9.5</td>\n",
+       "      <td>5.04</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>white</td>\n",
+       "      <td>8.1</td>\n",
+       "      <td>0.28</td>\n",
+       "      <td>0.40</td>\n",
+       "      <td>6.9</td>\n",
+       "      <td>0.050</td>\n",
+       "      <td>30.0</td>\n",
+       "      <td>97.0</td>\n",
+       "      <td>0.9951</td>\n",
+       "      <td>3.26</td>\n",
+       "      <td>0.44</td>\n",
+       "      <td>10.1</td>\n",
+       "      <td>5.34</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>white</td>\n",
+       "      <td>7.2</td>\n",
+       "      <td>0.23</td>\n",
+       "      <td>0.32</td>\n",
+       "      <td>8.5</td>\n",
+       "      <td>0.058</td>\n",
+       "      <td>47.0</td>\n",
+       "      <td>186.0</td>\n",
+       "      <td>0.9956</td>\n",
+       "      <td>3.19</td>\n",
+       "      <td>0.40</td>\n",
+       "      <td>9.9</td>\n",
+       "      <td>4.92</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>white</td>\n",
+       "      <td>7.2</td>\n",
+       "      <td>0.23</td>\n",
+       "      <td>0.32</td>\n",
+       "      <td>8.5</td>\n",
+       "      <td>0.058</td>\n",
+       "      <td>47.0</td>\n",
+       "      <td>186.0</td>\n",
+       "      <td>0.9956</td>\n",
+       "      <td>3.19</td>\n",
+       "      <td>0.40</td>\n",
+       "      <td>9.9</td>\n",
+       "      <td>5.16</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    type  fixed acidity  volatile acidity  citric acid  residual sugar  \\\n",
+       "0  white            7.0              0.27         0.36            20.7   \n",
+       "1  white            6.3              0.30         0.34             1.6   \n",
+       "2  white            8.1              0.28         0.40             6.9   \n",
+       "3  white            7.2              0.23         0.32             8.5   \n",
+       "4  white            7.2              0.23         0.32             8.5   \n",
+       "\n",
+       "   chlorides  free sulfur dioxide  total sulfur dioxide  density    pH  \\\n",
+       "0      0.045                 45.0                 170.0   1.0010  3.00   \n",
+       "1      0.049                 14.0                 132.0   0.9940  3.30   \n",
+       "2      0.050                 30.0                  97.0   0.9951  3.26   \n",
+       "3      0.058                 47.0                 186.0   0.9956  3.19   \n",
+       "4      0.058                 47.0                 186.0   0.9956  3.19   \n",
+       "\n",
+       "   sulphates  alcohol  quality  \n",
+       "0       0.45      8.8     5.58  \n",
+       "1       0.49      9.5     5.04  \n",
+       "2       0.44     10.1     5.34  \n",
+       "3       0.40      9.9     4.92  \n",
+       "4       0.40      9.9     5.16  "
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from io import StringIO\n",
+    "import pandas as pd\n",
+    "\n",
+    "s=str(objects[0].get(),'utf-8')\n",
+    "data = StringIO(s) \n",
+    "\n",
+    "df=pd.read_csv(data)\n",
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "9e292a1c-289d-42d6-825f-cd276bcc34e1",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<AxesSubplot:>"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x720 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import seaborn as sns\n",
+    "import matplotlib.pyplot as plt\n",
+    "df['is_red'] = df.type.apply(lambda x : int(x=='red'))\n",
+    "fig = plt.figure(figsize=(10,10))\n",
+    "sns.heatmap(df.corr(), annot = True, fmt='.1g')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "c3587639-ead9-445b-b9e3-7ed64fc7aef3",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "density            -0.234881\n",
+      "volatile acidity   -0.199486\n",
+      "chlorides          -0.148369\n",
+      "is_red             -0.080618\n",
+      "alcohol             0.341581\n",
+      "Name: quality, dtype: float64\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/conda/lib/python3.8/site-packages/seaborn/_decorators.py:36: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
+      "  warnings.warn(\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<AxesSubplot:title={'center':'Feature Importance for Wine Quality'}, ylabel='Pearson Correlation'>"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1152x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "corr_values = df.corr().sort_values(by = 'quality')['quality'].drop('quality',axis=0)\n",
+    "important_feats=corr_values[abs(corr_values)>0.08]\n",
+    "print(important_feats)\n",
+    "sns.set_theme(style=\"darkgrid\")\n",
+    "plt.figure(figsize=(16,5))\n",
+    "plt.title('Feature Importance for Wine Quality')\n",
+    "plt.ylabel('Pearson Correlation')\n",
+    "sns.barplot(important_feats.keys(), important_feats.values, palette='seismic_r')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "d539115c-44f2-45a5-9e3c-8d1b52adc598",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 576x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 576x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 576x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 576x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 576x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 576x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "for i in list(important_feats.keys())+['quality']:\n",
+    "    plt.figure(figsize=(8,5))\n",
+    "    plt.title('Histogram of {}'.format(i))\n",
+    "    sns.histplot(df[i], kde=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "e92d8592-6bb2-4d6f-b3b2-69d18d1407b6",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 576x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 576x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 576x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 576x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 576x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 576x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "for i in list(important_feats.keys())+['quality']:\n",
+    "    plt.figure(figsize=(8,5))\n",
+    "    plt.title('Histogram of {}'.format(i))\n",
+    "    sns.histplot(df[[i,'quality']], kde=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "38513e94-7102-4cf0-ba0c-e9b273d1189c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "scaled_df = df[list(important_feats.keys())]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "id": "464405aa-8e51-448d-a15b-f97b9d9439f8",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "scaled_df =df[list(important_feats.keys())+['quality']]\n",
+    "scaled_df = scaled_df.apply(lambda x: (x-min(x))/(max(x)-min(x)))\n",
+    "# sns.histplot(scaled_df, bins =8, multiple = 'dodge')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "id": "37d55050-4419-4eed-b688-93cab5ce642c",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 576x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 576x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 576x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 576x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 576x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "for i in list(important_feats.keys()):\n",
+    "    plt.figure(figsize=(8,5))\n",
+    "    plt.title('Histogram of {} and Wine Quality'.format(i))\n",
+    "    sns.histplot(scaled_df[[i,'quality']], kde=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "id": "ff70de6e-b204-48dc-84ef-6984dc7a1d5a",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<seaborn.axisgrid.JointGrid at 0x7fb05f4c2f40>"
+      ]
+     },
+     "execution_count": 29,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x432 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.jointplot(kind = 'hist', x=df.alcohol, y = df.quality, hue = df.type)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "id": "0456c63e-aff9-4bb4-8232-9c69acda1aae",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "/domino/datasets/local/WineQuality/WineQualityData.csv\n"
+     ]
+    }
+   ],
+   "source": [
+    "import os\n",
+    "path = str('/domino/datasets/local/{}/WineQualityData.csv'.format(os.environ.get('DOMINO_PROJECT_NAME')))\n",
+    "df.to_csv(path, index = False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "dc858b63-3f7a-42be-843e-ca276bb24a7d",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<seaborn.axisgrid.JointGrid at 0x7fb062042d30>"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<Figure size 1440x360 with 0 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x432 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(20,5))\n",
+    "sns.set_theme(style=\"ticks\")\n",
+    "sns.jointplot(x=df.alcohol, y = df.quality, kind = \"hex\")\n",
+    "# sns.jointplot(x=df.alcohol, y = df.quality, hue =df.type, style = df.type, size= df.alcohol, sizes=(20,200))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "28d8bd78-e0ab-4fe3-a87c-662b03fc45ab",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<AxesSubplot:xlabel='alcohol', ylabel='quality'>"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x432 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, ax1 = plt.subplots(figsize=(10,6))\n",
+    "sns.scatterplot(x=df.alcohol, y = df.quality, hue =df.type, style = df.type, size= df.alcohol, sizes=(20,200))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "217928e6-df42-43f9-b89f-10d5bd7d8475",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.12"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/notebooks/.ipynb_checkpoints/sklearn-checkpoint.ipynb b/notebooks/.ipynb_checkpoints/sklearn-checkpoint.ipynb
new file mode 100644
index 0000000..126492d
--- /dev/null
+++ b/notebooks/.ipynb_checkpoints/sklearn-checkpoint.ipynb
@@ -0,0 +1,1180 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "1e4576f5-ce13-4d62-96c6-7d8bc909f96f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "import sklearn\n",
+    "import matplotlib.pyplot as plt\n",
+    "import seaborn as sns\n",
+    "import os"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "ee097f37-2655-45d9-a805-45ddfdb120a0",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>id</th>\n",
+       "      <th>type</th>\n",
+       "      <th>fixed acidity</th>\n",
+       "      <th>volatile acidity</th>\n",
+       "      <th>citric acid</th>\n",
+       "      <th>residual sugar</th>\n",
+       "      <th>chlorides</th>\n",
+       "      <th>free sulfur dioxide</th>\n",
+       "      <th>total sulfur dioxide</th>\n",
+       "      <th>density</th>\n",
+       "      <th>pH</th>\n",
+       "      <th>sulphates</th>\n",
+       "      <th>alcohol</th>\n",
+       "      <th>quality</th>\n",
+       "      <th>is_red</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0</td>\n",
+       "      <td>white</td>\n",
+       "      <td>7.0</td>\n",
+       "      <td>0.27</td>\n",
+       "      <td>0.36</td>\n",
+       "      <td>20.7</td>\n",
+       "      <td>0.045</td>\n",
+       "      <td>45.0</td>\n",
+       "      <td>170.0</td>\n",
+       "      <td>1.0010</td>\n",
+       "      <td>3.00</td>\n",
+       "      <td>0.45</td>\n",
+       "      <td>8.8</td>\n",
+       "      <td>5.58</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1</td>\n",
+       "      <td>white</td>\n",
+       "      <td>6.3</td>\n",
+       "      <td>0.30</td>\n",
+       "      <td>0.34</td>\n",
+       "      <td>1.6</td>\n",
+       "      <td>0.049</td>\n",
+       "      <td>14.0</td>\n",
+       "      <td>132.0</td>\n",
+       "      <td>0.9940</td>\n",
+       "      <td>3.30</td>\n",
+       "      <td>0.49</td>\n",
+       "      <td>9.5</td>\n",
+       "      <td>5.04</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2</td>\n",
+       "      <td>white</td>\n",
+       "      <td>8.1</td>\n",
+       "      <td>0.28</td>\n",
+       "      <td>0.40</td>\n",
+       "      <td>6.9</td>\n",
+       "      <td>0.050</td>\n",
+       "      <td>30.0</td>\n",
+       "      <td>97.0</td>\n",
+       "      <td>0.9951</td>\n",
+       "      <td>3.26</td>\n",
+       "      <td>0.44</td>\n",
+       "      <td>10.1</td>\n",
+       "      <td>5.34</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>3</td>\n",
+       "      <td>white</td>\n",
+       "      <td>7.2</td>\n",
+       "      <td>0.23</td>\n",
+       "      <td>0.32</td>\n",
+       "      <td>8.5</td>\n",
+       "      <td>0.058</td>\n",
+       "      <td>47.0</td>\n",
+       "      <td>186.0</td>\n",
+       "      <td>0.9956</td>\n",
+       "      <td>3.19</td>\n",
+       "      <td>0.40</td>\n",
+       "      <td>9.9</td>\n",
+       "      <td>4.92</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>4</td>\n",
+       "      <td>white</td>\n",
+       "      <td>7.2</td>\n",
+       "      <td>0.23</td>\n",
+       "      <td>0.32</td>\n",
+       "      <td>8.5</td>\n",
+       "      <td>0.058</td>\n",
+       "      <td>47.0</td>\n",
+       "      <td>186.0</td>\n",
+       "      <td>0.9956</td>\n",
+       "      <td>3.19</td>\n",
+       "      <td>0.40</td>\n",
+       "      <td>9.9</td>\n",
+       "      <td>5.16</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   id   type  fixed acidity  volatile acidity  citric acid  residual sugar  \\\n",
+       "0   0  white            7.0              0.27         0.36            20.7   \n",
+       "1   1  white            6.3              0.30         0.34             1.6   \n",
+       "2   2  white            8.1              0.28         0.40             6.9   \n",
+       "3   3  white            7.2              0.23         0.32             8.5   \n",
+       "4   4  white            7.2              0.23         0.32             8.5   \n",
+       "\n",
+       "   chlorides  free sulfur dioxide  total sulfur dioxide  density    pH  \\\n",
+       "0      0.045                 45.0                 170.0   1.0010  3.00   \n",
+       "1      0.049                 14.0                 132.0   0.9940  3.30   \n",
+       "2      0.050                 30.0                  97.0   0.9951  3.26   \n",
+       "3      0.058                 47.0                 186.0   0.9956  3.19   \n",
+       "4      0.058                 47.0                 186.0   0.9956  3.19   \n",
+       "\n",
+       "   sulphates  alcohol  quality  is_red  \n",
+       "0       0.45      8.8     5.58       0  \n",
+       "1       0.49      9.5     5.04       0  \n",
+       "2       0.44     10.1     5.34       0  \n",
+       "3       0.40      9.9     4.92       0  \n",
+       "4       0.40      9.9     5.16       0  "
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "path = str('/domino/datasets/local/{}/WineQualityData.csv'.format(os.environ.get('DOMINO_PROJECT_NAME')))\n",
+    "df = pd.read_csv(path)\n",
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "0d715cde-3214-4dab-a859-2e1cee0842c0",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<AxesSubplot:xlabel='quality', ylabel='Count'>"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.histplot(df.quality)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "2e8ce056-3f9c-4a4d-b1df-feeb38771e9a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "for col in df.columns:\n",
+    "    df.rename({col: col.replace(' ', '_')}, axis =1, inplace = True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "17f596d1-13e0-4315-b1fe-f30d20726cce",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df['is_red'] = df.type.apply(lambda x : int(x=='red'))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "4eaec1b1-3aa6-4bf6-9be7-9490a4fe99b1",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "white    4898\n",
+       "red      1599\n",
+       "Name: type, dtype: int64"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.type.value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "76011893-4b1d-4ff5-8b86-5acc62830b0f",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0    4898\n",
+       "1    1599\n",
+       "Name: is_red, dtype: int64"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.is_red.value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "6db93641-e031-4470-a8c9-dd34a8bac908",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "fixed_acidity       10\n",
+       "volatile_acidity     8\n",
+       "citric_acid          3\n",
+       "residual_sugar       2\n",
+       "chlorides            2\n",
+       "pH                   9\n",
+       "sulphates            4\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "na_values = df.isna().sum()\n",
+    "na_values = na_values[na_values>0]\n",
+    "na_values"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "34ae777b-e1c1-47a3-be90-6314ef4cc699",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "corr_values = df.corr().sort_values(by = 'quality')['quality'].drop('quality',axis=0)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "20371b5e-4545-4f74-8da6-b7d9a802509c",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "density            -0.234881\n",
+       "volatile_acidity   -0.199486\n",
+       "chlorides          -0.148369\n",
+       "is_red             -0.080618\n",
+       "alcohol             0.341581\n",
+       "Name: quality, dtype: float64"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "important_feats=corr_values[abs(corr_values)>0.08]\n",
+    "important_feats"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "b9abdae8-f49d-4b33-b140-5fc464853bae",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/conda/lib/python3.8/site-packages/seaborn/_decorators.py:36: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
+      "  warnings.warn(\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<AxesSubplot:>"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 720x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(10,4))\n",
+    "sns.barplot(important_feats.keys(), important_feats.values)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "a3e669a0-7215-46d5-935c-57dc55167266",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<AxesSubplot:xlabel='alcohol', ylabel='quality'>"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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bbriBLVu2ONeZP38+UqmUESNGUF1dDcCWLVtYsGABMpkMPz8/pk6dyu7du0/XV+wX0eMlItIb9xBQ6WHJXAidAO6hZ3pEvypqWsz86/uem6fdAV9kljHrBAPml3DfjGhCPbWUNZqI9tVxaWrQoLd5Ms5L8OOdRelsz69Hr5IxM8GPSB/9oLe7+qCrMdpptbM9v57UUI9Bb/tkmCxW2s1WvPQqJBKJyzy73UFNqxmDWo5OpRiyfXZabZQ3mjBqFHjrT81Yrm01U9vaSZC7Bjft4Hv57SluwmJz7VHcabWTWdJIXIDxJ9dzOBx8sbusz/SssmZyKltJHwKD/Fxiw4YNrFu3ju3bt6PVapk2bRpms3lQ21Speq6ts7kPtWh4iYj0pssEpkaQSIX/LaYzPaJfFTKpBJVCiqlXiE4tlzn/ttsdbMytJbOoAS+9ilkJfoR4age0bX83DXdMjRryMf8cUqmEGfG+zIg/eRjqVFAqJH2myWV9pw0163OqeXl9LkerW5k/KohbJ0cS7SsYkkeqWnjtx3y+OVhJrJ+eh2fFMWuE36D3mV3RzN++PcqGY7V46hQ8dkE8V4wORi77+YCLw+FgRVYFz606TG1bF5HeOp6al8iUWJ9BjUcm6f84K6QnP/4qRf9jlg1gXRFXmpub8fDwQKvVcuTIEXbs2OEyf8aMGVx66aU8/PDDeHl50dDQgKenJxMmTODTTz/lhhtu4KOPPmLy5Mk/u5/Jkyfzv//9j4ULF9LQ0MCmTZv461//OmgjbzCIoUYRkd50tYBnFNyxCfxHgvnk4QeRHrz0Kv4wJ8H5Wa2Qcs3YEOfn9Uequend3bz6Yz7PrDzME18fpKPLeiaGeka5ODnQ5WFt1MiZHOM9rPs8HmLLKmvGbLHz6e5S/vrdESw2O+YuG8+tOsyKrApsdgc5la3c9eEessubB7XPji4rTy0/xIZjtQA0tFtY/OVBtuSdXC5gX0kTD362n9q2LgAK6tq568M9FNe3D2pM4yI90SllLtPcNXLSI34+x04ikXB1ekif6VNjfUj8GU+ZSP9ccMEFWK1WEhISWLx4MRkZGS7zExMTeeKJJ5g6dSopKSk8/PDDAPznP//h3XffJTk5mQ8++IB///vfP7ufSy+91JmgP2PGDP7yl7/g7z94D/xgkJzN7rjjpKWlOTIzM8/0METOFSwmUGh6/hc5JWx2B1llTZQ1dpDgbyTGz+Cc9+SKbN7bVuyy/Nd3TzgtITab3YHd7kAh7/u+6XA4aO+yoVPK+oTfhosdBXVsz29ApZAKD+9TSNDutNioaDbjpVNi1AwsJPjRjmKeWJbdZ/q6h6fQabVz4ctb+sx77pIkrh8fNuBxncjBsiYufmVrn+kPzIzhoVmxgPBdDle2YLU7iPc3YFAL3+fdrYU8vfJwn3VfvXY0FyYH/OIxAewsqOftLYXsLGxgYpQXN0+KGFDunrnLxlf7ynhtQz51bZ1cOSaEmyaGD0n4+ddMTk4OCQkJJ1/wN0p/318ikexxOBxp/S0vhhrPMSqbhdDZb12HqLrFzL6SRowaBWPDPU8a1nDhuLElGl2/CJlUwuhQD0b3Y0x5nJCjo5BJMKh7bkPb8+v5Yk8pbWYrl6YGMTvRH+kQhHE2Hq3hrS2F1LSYuWF8OJeNDkKrFPZ7rLqVd7YU8sORGmbE+3LzpAhiexmLw0VGpDcZkafu5coqbeLFNUfYXlBPhJeO/7sogZkJJw8J6lR9b/dapQytUo5cakcpk9Jlc63Y1KsH94jQKuUoZJI+OVXHjcXyxg6eWXWY7w4JidCpIe68cNlI4gOM6PsZL4BBLet3+qkwLtKLMWEetHZaMaoVAw4VqpUyrh0XxkXJgXRabfgY1IMei8i5hxhqPIfYdKyGmX/fyMy/b2Tj0dozPZxho6G9k0e/yOLOD/dy7Zs7+WJP6Zkekkg3FyT6E+WjA0AqgT/MTSDaVzBycqtbuXnJbr7aW87aw9Xc9dFetuafuoL1ieRUtnDb+3vYnFvH0eo2/m9ZNt9lC8ntnRYbf16dw6e7S6lp7eTT3aX8+ZscOvuRkTgbaO+08Kfl2Wzv1hIrrG/n7o/2kl/TetJ1J0R5kRLs6lV7ZFYsge4awr113Dsj2mXeyCA3xg9S4iLKV8/tUyJdpvkYVM6w6tf7yp1GF8C+0ibe3FyAw+FgQpQX4V6u+X8To7xIDRka76hcJsVDq/xF+VlGjUI0ukR+MaLH6xxiRVYlHV227r/LmRo3uCTVs5WC2nY25fY8sD/dVcaCsb88XCIydMQHGPn8jvEcLG/CW69iRECPIXCoosUlKR9gf2kTk2N6rlOLzU6LyYKHVjlgT9ihiuY+npw9JU1cOjqYsqYONpzwErLhWC1ljR1EdRuEdruDssYOVAoZfsYz+7Ataeggq8w176rTaudIVZtzvKYuKzmVrUglEhICDKgUgofI16jm1WtHs+FYLbWtnSQGGpnaK1H9lskRRPvoOFzZiq9BxfR4X/zcBv9975wSRZSPngNlzfgYlMyI93N6FL/N7is1supAJYvnxBPkoeXNG9P49lAVeTVtJAe7cUGiP4YBhlZFRM5WRMPrHCI5yIDZIuRGpAT/dpNBvfVKjGo5LWYhaTslRBQ3PFto6uji88xSPtxRQpyfnrumRZMeIeTW9GfUBPR68GeXN/Hy+jy25tUxO8mfu6dFOyvyfo7+thvkLkzz0Krwd1NT1dxT4eTvpsZDJ5SlV7eY+c/6XD7eVYJOKWfx3HiuSgtBcSqh6yHEU6vCqJHTYnItSPAxCCHc4vp2/rQsm43dLx5zk/z540UjCHAXwubBnlquz+j/JUSnlDM3OZC5yUM7ZoNGwWWjg7lsdHCfeSMCjWRXuBawxPkZnGHRGD+DS46giMhvATHUeA7hplWx+mAlqw9W4qYZXuHJM0m4t543b0zjlonh/O78WO6YGnnylUROC98crOSlb49S3mTih6O13PfpPurahLY/o8Pc+d35sSi6ZRWuGhPM9G41cXOXjWdWHWbt4Wrau2x8tbec1zfmD0irJy3MgzunRnI8Zz493IM5ScILiKdOybOXJKLp9gppFDKevSQRT51gyKzYX8GHO0uwO6C108oTX2eTWdQwpMfkVPBzU/PkRSPonf9/88RwkoPdAVi2r9xpdAGszq5izaHBC9gOF1eOCUHbq8JQJpVw74xoZ/6diMhvEfHqPofYfKwOe/dzalNuLZecBgHKM8W4SC+xBUs3Xd19dZTywSclD5SOLivNHRZ8jWqXHJrDJ3g3qprNFNW1461XoZLLuHdGDHOSAuiy2Ynx1TuLIqpazOwqdFV2X3u4iic6EvDQ/byopkYp59HZ8VyUHEhHl42EgJ7KOYBZI/z59oHJFDV0EOapJdxb55yXWdzXyMqvaWd81OClH8obO9iWX49KIWVytLfTy3YyLk0NJtrXwLHqVgLc1YwJ9UDdbThuz+/bR/Jw+cAkURwOB4crWsipasHXoGZMmPuQiqj2R3qEJ+8sTGdLXi0Wm4OxER7MTBiCUn+bFYo2QUgGKLVQsBH8EkE3vJIdIiIDQTS8ziHGRXqydK+gvJzRj1Gyv6SRksYOUoLdCfPS9Zkv8utjTXYlr/6Qh0wm4d7p0UOiIH8y9hY38Pw3R9hb2sjFyQE8PCvOacycGDby0CkI9nBNoI7qJ3zoY1CSHOTGgV66UpOjfQYspSCTSkgK+umQc5i3jjDvvtd8crC7S/K3sOzABF9/ju35dfxp+SFya4S2NZOivXhqXqKz0ODnkEolpIS4kxLi3mfemHAPdhS6Goux/gML1a3YX8FDn+93vpxdlhrE0/MShzWnKqu0ibs/3kNDu9ByZ8k2KW/cOIapsYMUrN3/Eay8H6Y8Bn5J8OXNkHw1XPAiqH+7aRbnOv/+97958803cTgc3HbbbTz44IMu8x0OBw888ACrV69Gq9WyZMkSRo8efdrHKYYazyEuTQ3iizsz+PyOjD7tVvYUN3L1Gzu4/5P93PdxT/hH5NfLoYpm7v14H9kVLWSVNnP3R3s5WnXy6rfB0NFl5ZmVh9lT0ojDIRR0fJZZ4px/4Uh/bp8SgUYhIynQyMvXpOI/gARunUrBk/MSSe02NqbEeHPP9KhhVwyfNyqQ2YmCVINSJuWxC+KGpDXMyqxKp9EFsCWvnjX9JJqfKpemBjEysMewyIj05IKkk0tNVDWbeXLlIafRBfDVvvI+RtxQs3RPqdPoAqFQ4NUf8wZfVeo7ArResOkv8MWN4LBBxBRQifliv1Wys7N588032bVrF1lZWaxatYq8vDyXZdasWUNubi65ubm88cYb3HXXXWdkrKLH6xxCLpOSHt5/+K2gto1Oq1D5daC8mdrWzlPuqSZydlHa2IGt15PUYhOq8+IG6AHptNooqe/AS6fCUz+wHnkN7V3sP6HqLrOoJ0ToY1Dzh7kjuG1yJDqV/JRyecaEefDRbeOoa+3Ez6h2VusNiMZiMPiDXAWNheARMaDVQjy0vLwglfyaNjRKOREnesVqj4ExUOjvWZMD3nEgPfn7bH5tW59p1S2Db2ES7WvgpSuT2Zlfj0wqZXyUJ6GePWOuaTWzLa+eutZORgQaGRshaNzVtplp6ujb6LmiqadlVnZFMzvy63E4BO/58byywbCnpKnPtKzSZlrMFnxO5fyeSEg6TPsDrH5E+Bx/ESTMg9Mkjity+snJyWHcuHFotYJHeurUqXz11Vc89thjzmWWL1/OjTfeiEQiISMjg6amJiorKwkIGJwg76kiGl4iAKQEuxHioaW0sYP5o4II9hDFQ3/tJPgZXao7PXWKARtdpQ0dPLfqMN8drsbfTc1Llye7SA/8FH5GNXNH+rs0gT6/n35/v1QDSauUE+p1iretulxYegskXQYBKbD0JrjiHYiaMaDVVXIZI/pTla8+DJ8vhLgLhG19dj3M/SuMuvak20wJcWPnCd6kqCFQP99b3Miid3c5z7mvQcW7N6WTGOhGfVsnD3+2ny15PXlgL1w2kgVjQwl21xLhpaPwhHY8MX7CmHYW1LPo3d1OuQ+VXMo7N6UzcZC5bjPjffvk/Z2X4IfnAPPdfpKclfDt7wVDS64RPvv8EyY9JOR8iZxRKisreeihhygqKiI8PJx//vOfgzZ+kpKSeOKJJ6ivr0ej0bB69WrS0lyF48vLywkJ6Wn7FBwcTHl5uWh4iZwZYv2NfHZHBtUtZqJ89C7JxyK/TsK8dbx7UzrfHapCKpFwQaJ/n3yqn2L1wUq+OyzkNlU1m/njsoOsuHcS7tqf93wpZFIeOT+OIHcNu4oauXCkP5eP6SsjcFpRGcErEtY9KTyIjcGgGXy4EJ03BKbAtpeFf2r3AXvSrhgdTGWTmW8OVqKUS7k+I4xLUgIHPaSv95U7jS6AmtZO1h6qJjHQjR0F9S5GF8ALa3KYEe+Ln1HN85cl8fDnWVQ1m1HKpPxudixpYcJx+mJPqYvGWqfVzkc7igdteF02Oojt+fVkFgte0XAvLbdPiRx8CFmmBJkCLnpV6L36ydWgUIPE1RtptdlPrauFyJDw0EMPUVBQgN1up6CggIceeohPP/10UNtMSEjg97//Peeffz46nY5Ro0Yhk52+gqJTQTS8RJwEumsIdBc9Xb8lxoR5Mibs1I2ME3P8yhpNtJgtJzW8QPDcPHHhiFPe57Bh8IOUBXDoa3A4IPlK8B2CvnJ6XzpHXInq4BcAWGIvQuE/ckCrxvob+fc1o7h5YgRKhfSU+jT+HIX9hDCrWoRwYUN7V595LSYrLSYLfkY1E6K8WXXfJPJr2/DWKZ2CrAB5NX0bU+dVt2G3OwbV0inCW8+7i9LJKmvGYrOTHOyG11CkOMTOhlt/EM6zRAKLVoFHpGB8IST1f7a7hG359UyO8ebq9BCSgtwHv1+RAVFUVITdLqS22O12ioqKhmS7t9xyC7fccgsAf/jDHwgOdn3pCwoKorS0p5NJWVkZQUGnv7pfNPVFRET6MDbC1Vi7Oj2EYPdfaYim6iB8sQjcQiDuQtj8Dzi6etCbNZXsRfX1TdhV7jQEn4fiwIe073h3wOtLpVJSwzyGzOgCmJXYt2r1eDFAUpAbJ9pIk2O8CfXsOa/eehXjIrxcjC6AhH5C1COD3YYkZcqgUTApxpvp8b5DY3Qdx29ET06X7win0VVY28Yt7+3m412lFNV38MGOEm57P5PSho6h27fIzxIeHo60OxdSKpUSHh4+JNutqakBoKSkhK+++oprr3UN+8+bN4/3338fh8PBjh07cHNzO+1hRhA9XiIiIv0wI96Pdxams6e4AX83NecPUbPqM4JPvCAjEDgKDAEQMQlCxg96s7vavPGPv4cDkli+rdDx9Mh4dpkTuWzwI/7FzEsJpL6tkzc2FyCXSrlnehSzu42xUSHuvLwglRdXH6GsycTMBF9+d37sgIoUfAxKZif6sT6nBgcwPc4HH70Kya8wWX17QQN1ba7ev8rmTnYWNhDi+St9ufiV8c9//rNPjtdQcPnll1NfX49CoeDVV1/F3d2d119/HYA777yTuXPnsnr1aqKjo9Fqtbz77sBflIYSyUCUn880aWlpjszMzDM9DJFzhBaThdo2M946FW4DCK2JnAI2K9W5u/i83JtUtzaS/VQYQxLP9Kh+EV/uKePZbw7RbLLicICHVk6Uj56ld00c9LZzKltYe6iKmtZO0sI9OT/RD113BWhdm5nVB6vYU9xItI+eOSP9++h/VTebkUr7L2Jo6uii2WQhwE2DUj6woEdmUQP3f7KXkcEeSCSwv7iRfy1I7VcP8GznnS2FPLPqcJ/pz12SxPXjxZ6uv4ScnBwSEoYgfP8rpb/vL5FI9jgcjrT+lhc9XucQeTWtfLKzFAcOFowLJWYAYo3nGsX17Ty29AA7CxtIDXHj71eNInIIqs1EBBr2fo3fmjsZn/IckbmrUDo66FrwMUr30+/uHyyjwzzAIaSNATR2WLkqLXTQ2y1p6OCW93ZT0STIS3y0s4QnLx7BTRMjsNsdvLwuj/d3FDuXX51dyYe3jHMJ0/1cc2t3rXJAuXq9SQv35N2bxrKzoAG7w8H9M2IYEfjrFCIdFeqOVIKLZplcKmFUqNjTVeT0IOZ4nUN8squUt7cW8s7WIj7ZWXLyFc5Bvj9c7Szz31fazLdDIGop0sP65kAafDNI27cYz+pt7A68nh01Z2fl0cmI8Nax5KaxLJoQztyR/vzjqhTmDUFl4u7CBqfRdZz/bsynxWShsL6ND3cWu8zLqWxl/wl6WF1WG5ZuXb5TpbG9i05rXwHTOH8js0b4cn6S/5AbXTUtZhfNsOEkNcSdl69Jxbe7sXiAm5pXrk0Vk+tFThuix+sconc2xq8wNUPkJzhU3syRqhb83DSMj/QadjX3wSHpcRH9BhgV6sGoUI9TXs9ssbEmu5Iv95RjUMu5Mi2YGfEnV5g/GR2dVpbtr+D97YUoZFIWTYzg4uTAAYUU82raeHdrIasOVJIQYODuadFM6dZuq2428f72Yj7PLMPucHD5mGAWjQ8jcIDyJD9Fc4eFD3YU8dqGfCw2O9dnhHH75EgChrG6WiKRcFFKIBlRXlQ3mwlw0wxYIFhEZCgQDa9ziAVjQ5B0P/euGRty8hXOQWaN8HN6vUaHunNB0vD3NhwMuwsbWPjuLjq6BA/FS5eP5Or0wYe7hovpxjI8a3eSmfoikZWrSK/4ENukC870sE4732ZX8tBnWc7Paw9X8/Gt4xgX6UV6hCeB7moXr9fdU6MwahQY1HKuzwjj/e09Xq8RAQZGhboD8E12JX/4+qBz3iOfZ6FVyJgz8udDuZ1WGy+syWF9jlAVtqOggX0lmSy7eyIJgUY+213Gqxvyncu/sakAtVzKw+fHDeo4rDxQzt/WHnN+fndrESq5jMVz4ge13YHgrVeJ3TlEzgii4XUOEeVrOLv0lc5Cwrx0vHVjGjVtQsskt2FsEDwUbDxW4zS6QAhJzR8VdGrtdE4j7zUmMnHGZ3xS5kl6+Eja2tsY36Ej5deXoz0ovjtUjVou5Yq0YDo6rXy1r4JdRQ2Mi/Qi1FPL2wvT+f5wtZBcH+bhVP+XSCTcPzOaaF89+4obifLVMyfJ35nftfpgZZ99bcmrO6nhlV/T5jS6jtNptbO3pJGEQCMbj9X2WWddTjUPnhfjlAX4JSzbV95n2oc7irl9SsTg1etFRM5SRMNLxEmryUKTqQs/48CrnX6LGDQKDGe5wXUczQm9Dt00yjOuxF3VbGZ1dgXFdR2khLhzQaI/WlX3OCVyrlnVCVSyHJBJJayZdHYaicPJqGAjPgYVqw9WolHKuG96NL69vC8JAUYSAvrPo/LWq7lxfDg3jg/vM8+zn6R5g/rkt3m1QoZCJsFicw0Da5TCuTFq+m7DqFEMyugC+tXtctcqUIhq8iK/YcSrWwSAkoZ2bnl/N5P/soF/rTuG2dI3uVbk7CPGV098t7ilh1bB5alBZzTHy+Fw8MoPuTyzMof3thfz8OdZLM+qcM6/INGfIPeeiruHZ8US43vuVY22ddl5f3sxdW1dlDaY+M+PeVjtvywZvjfzU4NQyHrOv1oh5byEk+eORfrouX1KpMu0KB+dUy7igiR/F/FViQQuSh58IcEVY0L65JveMz1abFkm8ou4+eab8fX1JSkpyTmtoaGBWbNmERMTw6xZs2hsbOx3XZlMxqhRoxg1ahTz5s0b1nGKHi8RAHYVNrCrULggX9uQz7yUQOJ/4o1b5Owhq6wJpVzKnCR/TF023thcwNVjQ1DJz4wXqbLZzCe7S12mrdhfzoKxQt5ZYpAbX941kezyZjx1ym7187O5GGB42FPc0GfakerWAa/fYrJQ3NCOr17tIh0xOcaHD28Zx8bcWmQSCTPifUkdYPL/HVOiSAw0kl/TjrdBSUakl7OF2NXpoShlUnYW1mN3CJ0NLksdfKuVmfG+/O+6Maw5VInZYmdmgh8XJ/eERS02O9nlzVQ2m4nw0hEfYHC5XvYUNbC3pBE3jZKpsd74uYktz85lFi1axL333suNN97onPbiiy8yc+ZMFi9ezIsvvsiLL77ISy+91GddjUbD/v37T8s4RcNLBAB/N40z8T7IXY27Vnzj/DXgqVVyoKyZA2XNAEyJ8UZ5BsM0BrWcME8tBXU9vf1i/Fz14vzd1Pj/jM7UuYB/PwaCu2ZglXW7ixpY/OUB8mvbcdcqeOaSROalCEZQeaOJD3cUs/JAJRKJ0CQ7yEODbz9CqieSXd7M0ysPU93SiUIm4ZHz47h5otaZdnDp6GAuHT20Dc+L6tv53+Z8cipbkUslHKpoJsZXT0qIO6YuK/9en8vrGwsAISz95MUjuCEjDIlEwqe7S3hqxSHMFsFTODrUnWfnJ5IY6D6kYxQZeux2O7t27eLo0aPExcUxduzYQYetAaZMmdKn7+Py5cvZsGEDAAsXLmTatGn9Gl6nEzHUKALAxCgv3l2YzpMXjeCNG9L6fTCInH1clBLI5aODUMmljAp247EL4s+oB8mgVvDUvES8u8vzEwONXJMuVtCeyIXJAXjqegytWD89swYQEmw1W/jDVwfJrxUM26YOCw9/lsXRyhYAlu0vZ+UBIcHe4YDPdpcOSIuusaOLJ77OprpFaI5usTl4cc0RMvvxzA0lX+8rZ09xEx1dNlrMVkoaTPxvUwFWm52dhQ1OowvAZnfw1IpD5FS2UFjXxt+/O+Y0ugD2ljTxzQFRd+9sx2638/DDD/Poo4/y2muv8eijj/Lwww87m2YPNdXV1c5+jP7+/lRXV/e7nNlsJi0tjYyMDJYtWzYsYzmO6PESAYRqqWnxvkw70wMROSX8jGpevDyZxRckoFfL+iTbnwmmxPqw+v7JVLeaifDSox9Acve5xsx4P95dlM62/DpUchlTY32IGkCuW2lDB7k1bS7TrHYHubVtxAUY2Zzbt/rwQGkznKQ1ZVljB4X17X2m51a3MSHK+6Tj+qWsP1LTd1pONY0dXeSd8D1BUJvPr21HLpVQ29bZZ35udd91hpqjVa1szaujvdNKcogb4yO9z+lipFNl165d7NmzB5NJEMw1mUzs2bOHXbt2kZGRMaz7lkgkP/liWlxcTFBQEAUFBcyYMYORI0cSFRU1LOMQ74giIr9yFDIpPsazq/Te16jG13huhxNPRkqIOykh7qe0jo9BhY9eSe0JTZ6DunOxUoLd2VHg6qWK8tWddLu+BjUeOgWN7RaX6YHDKGQKMCbUncMVLS7TUkLcMKoVP7nvADc1KoUUrVLmIqUCEOQxvOPdW9zIoiW7aDFZndP+eGECt0yO/Jm1RHpz9OhRurpcr9+uri6OHj06LIaXn58flZWVBAQEUFlZia+vb7/LBQUJ4frIyEimTZvGvn37hs3wEs10ERERkV8JPgY1z85Pcsnje3hWDCODhD6Dl6YGEendY2iNDHIbkAiwn1HNUxcnulQuXj46iIwIz6EbfD9cMSYEr14hV5Vcyr3TY1ApZIyP9OK8BNeH5M0TwxkZ7MbIIHfumOpq7Pgb1cweMXj1/5/ji8xSF6ML4C/fHaWwrq+3UKR/4uLiUCpd8xmVSiVxcYMT4/0p5s2bx3vvvQfAe++9xyWXXNJnmcbGRjo7BQ9qXV0dW7duZcSI4dO8FD1eIiIip5VOi42COiExPOAsySUsqmunuL6dMC8d4d4n9xANN22dFvYUNdHQ0UVSoNGlQOGCpABWP6Ant7qNAHc1SYFuTu22+AAjn96ewf7SJmRSCamh7gMWIp2b5I9WOYbs8mZ8DWqmx/sMu55dSog7S+8cz47CBiw2O2lhns4+kB46JX+5Ipnt+fWUN5qI8tWTEeXlrNhdlBGGQaUgt7oVrVLOlFhvxkcPX1jUZnc4+7j2ptNqp7LZRMRZcN30wdQEe9+H+LngFQ2HloNCDbGzz9iQxo4dy5gxY9izZw9dXV0olUrGjBnD2LFjB73tBQsWsGHDBurq6ggODubpp59m8eLFXHXVVbz99tuEhYXx+eefA5CZmcnrr7/OW2+9RU5ODnfccQdSqRS73c7ixYuH1fCSOH4FfdPS0tIcmZmZZ3oYv3raOy1sPFaHA5ga641eJVYuipxeiuvbeWblYdYfqcGgkvPny5K4OGXwsgSDYe2hKu7/dB9mix21QsrL16RyfuKZaxXVYrLwp+XZLNsv6J+p5FLeuHEMU2P7D5EMFe9tK+TJFYedn6fG+vCvq0fhoTs7+xi+vjGfF9cccX720Cr44NZxJAW6Dds+n1qRzZJtrk3KtUoZ3z4whVCvwfWtHBY2/Q1+eBYC0yDtJlh1P0jlsPAbCEkfst3k5OSQkJAw4OWHq6rxTNHf95dIJHscDkdaf8v/er+pyCnz2e5S7v5oL/d8tJfPTtBaEhE5Haw5WOlMqG7ttPLY0oOU9JPUfbpoaOviT70kCcwWO39acYiG9q6TrDl87CxscBpdIHhUXl6fh7lr+ESNyxo6+Mu3R12mbTxWy/oj/VeAnWmK6tr55/fHXKY1dlhYe2h4qxqvSAshsJcAsEQCT80bcXYaXQDxF4JvIlRkwop7wG6DiQ+CX9JJVx1OpFIpGRkZLFy4kIyMjF+10fVLEEON5xCHK3sEGk9MaBUROR2U9Wr8DGCy2Kht6yLU6+RhGofDQU5lK6WNHUT56Ij2NZx0nZPRaOqkqtl1TFXNZho7Ol3kHoaDo5Ut7Cpq6M5n8iTEUzgGNa1m0sI8CHBTY7U7UMqlbM+vo63Lilo5PMK4BXXttPdj2BXVdQxo/Y1Ha9h4rJZmk5VAdzUXjQwgrluAudVkYe3harLKmvA1qJiZ4EtCQI9XamteLT8eraXLamditBfT4/xOWiXY2N5Fp7Wv/EB5o2lA4/2lJAW68dnt49lRUE9bp5XkYHdST7FA4rTimwDj7oCV9wufVQYYeSUoz44Q/7mKaHidQ1w00h+rTbhZXTwE7T5ERE6V9HAPPtzRE6oZEWAkeoAtg1ZkVfDw51nY7A5UcimvXz+G6fGDC78Fe2iZHufDj0d7ZBimx/kQ7DG8HozMogZufGeXsyovwltojB3poyfGR097l9WpxyWRwIMzY/Dup6/hUOGtUxDlo3Pqgx2nd3unnyKzqIE/LT9EcUOPkVZQ285fLktCp1Hy3435vLYh3zlvybYiPrktgxg/Az8ereGWJbuxd2e8vL+9mL9dkcIVaT8v1BruoyXUU0NJg6uhNVCV/sEQ4qklxPMs9XCdyKFl8M1Dwt8KLXS2wtd3wqWvg3fMGR3aucy55d87x8kqa2HZ/gqW7a8gq7zpTA9H5BxkdqI/f78qmUtTg7hzaiT/uCoFtwEkcNe1dfLMqsPYup/QnVY7/15/6j1FrSd4SVRyGY/PTWDB2BD8jCoWjA3hD3MTBt5yyW6j02KjxWQRwjgDZPn+ChcphMK6DnYV1FPZbKLJ3EVOZSujQz2YneiHu0bBqgOVtHdafmaLA8TcIiirHv+7m1h/I/NTg4jyEYxgo1rO9eNCSQ/vqWq02x3kVrdytKrVeR4ANh2rdTG6AFZnV7Iht478mjbe2FTgMq+urYtNuXUALN1Tiv2ENONXN+TSZnatHDwRD62KFy5Lxkvf45W8LDWI2YnDW9UIQg7etrw6fjhSTUnDWV7NKJEAEpi6GG5dDz4jhGkS8dF/JhE9XucQVS09b4cVTafmku+02Ciqb8dDqxxSfaYWk4UjlS2465TE+g0+dHTWYjFD5X4IzYCyPeAVCZqheTs/UtnMseo2AtzUpEd4Dck2fxaHA46uBp94kKuhPBPiLgTZwG4nMokUm82BVCLp0yB5Z2E9X+8tp63TysUpgcxK8EMqldDRZaWpw9XwKGs00WW1o1bI6Oi08unuEpbvryDAXc1148KYHOPjXParvWV8kVlKU4eFuckBXD8uFI/uar9YPwMvXJZMe6cVneoUbold7bRt+Dd7iWd1pYEnPNYhTb0eXcjIk65a0+oa3rxwZADfZFfxh2XZjAxy4/cXxPHxzhKyypqYHC0IdHZaHQywQLF/Ohpg3VMQPgmipsN3/wdxcyBxPnKZlMtSgzGo5eRVt+FrUDEx2pvo7t9kdYuZf31/jE8zhdzQy1KDeeT8GALdtXR09TWSHA7ht93RZcV6omWFEH4EKG8095lX3dKJ2WpDf5LH08Rob1bfP4kjla0YNQoSA92GXcg0r7qVD3cWsya7iqYOC5NivLlyTDAXJAWcfOUzwYhLYNE34J8ihBeveAfkSvAaHn0qkYEhGl7nEFemhbC/ROjpd3WaaxuXji4rSzPLOFzZwuxEP6bH97w5dlps/G3tMd7cXECIp5b/XT+aEUNQOdRqtvD0ykN8ubcclVzKWzemMTnW5+Qr/hop3AifLoDznoWNL8LsP8PoGwa92W15dSz+6gAlDSY0ChnPzU/k8jHD3KKn9ih8dTv4jhByRoo2wy3fQ+Cok6669lAVD3623/l5c24tH92agVGjIL+2lZve3e30BH1zsJIPbhnHpGhvQjy0XDs2lA96hSlvnhiBsdtb9unuUp5ZlQNAVlkz2/Lr+fLOCcT4GdiSV8vjXx105gTlVLWikku5fYrrw+eUjC6gvuQwHpmvM8lhJ9k7BcPeLTTogwZkeM0a4cd3h4TE9RhfPUX17RzqzrvMKmumqL6D1FB3ShtNbDhWyyWjAgefc9ZUAjkrYd8HEDhaMJjtVoicDho3gjw0LJoQgcPh6KPuvWxfuUvz8y/3lhHmpeH+mbEkBBqRSSUuXrBQTy3JwW5E+OhJC/Mgs7jRZXupoe4AzB8VyP7SJpd5C9JDBxxW9TNq8DOevnyllQcqXKoa1+fU0NDWRXKQG4G9wtOmTguas6VqPLSXKKnfwCsPRYYP0fA6hxgd6sGyeyYAoFK4hlI2Hq3lTysOAUL/tO8enOLUMypp6ODNzUK4oLShg+0FDUNieBXVt/Pl3nJACB1tyq377Rpe4ZMhdSGs/QOETRJ0dU7gcEUzSpmEaD9jn3lNHV20d9rwNihdwmBrDlU681xMFhv/21TARckBqBQ9P+1teXVIJDB+qFq/+MZjv+Q1pF/cCIBt3mvITjC6iuvbqWwyE+2nd3mI7i5qJC3MA1+jCgkSNufVklvTxpgwD7LLWlzCbw4HZJU2MinaG4lEwn0zoon21VNQ28aIQCNzEnu8DLuK6l3232KysqOgnhg/A/tLmvokYh86heKS4vp29pY0olPJSQ/zdMorrGvwI2PaPwg78C/ca3bRMfMF/l6RyvMD2OaFIwOQSyVklTUT5KbmudVHXOY3myxoev1G1x2upq6tE2+9iq6GEmorilhZF8REzyai3SVoQkeffKeBo2iZ9w7Gz+ZDeSYW/1QsM55FqxF+yx1dVjYdq+VwRQu+BjXT4nty3dYe7lstuPJAJffNiMFmc7D4gjje215MWaOJ0aHuzBsVSLPZilYp508Xj2DZvnIqm82o5FImx3gzsVtva36iO7MdjTy234fydgdLxtehiTm54Tqc1Ld1svJABd8cqMTXqOLSUcHMiPfF7nCw4Wjflkz7SpvYV9pEoIeWVVkVfHuoiuzyZuL8DcxJCmB+6pmVSzmXuPnmm1m1ahW+vr5kZ2cD8Oijj7Jy5UqUSiVRUVG8++67uLu791n322+/5YEHHsBms3HrrbeyePHiYRunaHidY5xocB3HYut5MFntDmy9Gpa665REeOmcvdwC3VzfRssaO1i+v4Ium52LkgOIGWC1madWibdeSV13+xM/49mpFzQkVO6H7KXgHgal26F4GyRcDEBXl43/bMjjrc2FKOVSHjwvhpsmRjhX3VVYz0Of7aei2cw16SE8Nju+R1vphCiO1ebg+KlrbO/kPz/k8cGOYqQSCQsnhPPA9Ch0msEd587ivSi2vwIyBUhkSHe8hsktHE3URAC+P1zF/Z/sx2SxEeyu4dXrUkkJEcKq4V5aNuXWklnciEwq4YrRQfgYhPH49tP2yNfQE9b2NapZOCG83zF5aPt+p+O5Y36GvqFxr14xu4a2Tr47XE1eTRvRvnpmj/DDs9tYzCpt4qYlu2jobqUzNdaHf1yVgpdexXR9ET6r/wB+iRCagXbDk/xh8hOctDEiglTD/y07RFunlSkx3rhpFDSbekKpEgnIesnIx/sb0SvlYGrCuvIR/Ct3k5j8Z8Kz/4e8s56u65ei9Iv/2X2WlxWj3PWO87OiOovKA98ROnURSCS8s6WQv63tkWhIznTjrYVp+BrVxPoZ2FPc5LK9xAAjEokEjVLOY18e5P4ZUfgbNWzLr+PZVTmsvn8SAKsPVPLO1iLnelvz6hgZ7EasnxH3I5/hvu73vDPqRuz6QFQ/vAitt8EFLwjX12nGbnfwn/V5LNneM97VB6v43w1jmJXg12/YFIS2XVvzanlyxSHqu6VIiuo72JZXj1YpO6O6cOcSixYt4t577+XGG290Tps1axYvvPACcrmc3//+97zwwgu89NJLLuvZbDbuuecevv/+e4KDg0lPT2fevHnDJqIqZtiJADA1zpd7pkcxOtSdf16VQlQv48lmc5Aa6s6cJH8uHx3EiZq7724t4q/fHeXf63J5YXUO9p+4OZ2I1e5gepwvc5L8mT8qCKVseErlzwr0vjDhfrhlLZz3FBh73oJXZVfwnx/yMFlsNJssvLjmCNvzheRjk8XK/y3LprzJjMMBn+wqZV1Oj7ZSmJfOGYKSSSWcn+iHolvFfF1ODe9sLcJic9BptfPGpgK+76cp8alS0OLAoTRC6g0w6lrsWi+KWwUjoamji6dXHMbUnfRe1mTi014hqpKGDkq6E7Ftdgdf7y+nsFZobJwa6sFD58U4DY5LUwOZHj8wD2h6mAexfkJiuFQCV6UFO9vozIj35fLRQfjoVYR7aYn31zMnSQilOxwOXt2Qz3OrDrOjoJ7nVh3m1Q35HBeWXplV4TS6QDCYdhQI3jV3oxFHQCrk/wC73sShdkPhNrAH7JqDVbR1CrlR2/LruSg5wCXf7eq0EOd+VHIp982MRq2UUdqhYK/HHGRdrUzedReGuv3kBV/G7kbXytCcyhaOVbl69eoqinCv3kVVyFy+T38Lm8oNedEmiioqKa5r5z8/5Lksf6C82TmGK8YI+V/H0ShkLBgbCsCEKC8mRnnx8g/5/GFZNqsOVnHf9Ghi/Qwcq27l7a2FLtutbetizcFuD1rUTAhIRbH/fVRbXgRDAKQscDG6Cmrb2JZfR0VTX2mLurZOtubVcqCsyVmxfRxzl43dRQ1szq2lob1vQ+3+yK1p5f0dRS7THA74YncZEomEuSP75nIlBhoZH+XFltw6p9F1nNZOq/MYivSQlZXF7bffzqxZs7j99tvJysoaku1OmTIFT0/XNlfnn38+crlw7WZkZFBWVtZnvV27dhEdHU1kZCRKpZJrrrmG5cuXD8mY+kP0eP0K6bLa6eiy4t7PW/4vxU2j4NHZ/b8xt3Va2FnYQHKwGxVNZqpaXG9ixfU9N8TcmjYsNjsq6cmNqFazlS/29PwIfAxnR6PnQ+XN5NW2EeGlI3moNHq8omHqo8LfE+53mdXc4Zqc3Gm102IWHvadFjs1ra7Hu7VXxVdpQzsL0kOoa+/CTS0np7IZs8WGXi6l1WThfxPbWF5hQCV1MMuvndqOgQmDWm12fjhSw96SRvyMauYk+ePf3d5nZ4sn9uDLSdz2INitFE78OxubfIkHTF02qk9IHC/tVfIfompn5eQy/pATxrXhrbjJu2jsflipFTISAgzcNz0Ki91BpI8Oz17XeEl9O0v3lpFZ1MjkGG8uGx2MX3ehR2FdG9eNC6W+vQuNXIbVbqegrp0IHz1eBhVp4Z7UtnbR0N7J+Yn+zqbSpQ0dFNa1MT7Ki6PVrYyP8qKorp3Shg5CvXR9jj3g9Ewpg0dhH3kF5H4LgCN8Csq48wd0fHsbAla7g5VZFTw2Ow4/o5ogdw2xvnpmJ/rT0N5JUpA7cf7Ci1BpYwebW/1J1wejaikCqYw8XSp1dRYmAkV1bby+sYCv9pYjk0q4Jj2EO6ZG4u+m4ftGf3aGvUBmvZq1mx08lfZPfqhUc7dZhQFrv7pYx79rsIeWB2ZGU9392/c1qAjtllTw0qv4x9Wj2JJbR1WLmTh/AxOjvJBIJJQ3dGCx9X0RcwrUuodA9Eyo3Cd8DpskFJ4geOE/3FHMi2uO0Gm1Y1TLeeGyZC5MFoyfHQX1/HdDHlqlHAcQYFRx74wYvPQqShs6eGrFIadYb6inhn9dncrosJ8vaGnvtPWpsgQoa+rA4XBww7gwWs0WlmwrwmyxMznam4dmxWJQK/o07D6O6RQrb3/rZGVlcc8992A2C/eJxsZG7rnnHl599VVSUlKGdd/vvPMOV199dZ/p5eXlhIT05MYGBwezc+fOYRuHaHj9yqhuMfP0ykNsz6/n/y5MGNJEanOXjRazBS+9yiXMEWhUMzXWh493lRDkpiY+wDWUuHBCGLuK6um02Hl8TsJPhjNPJMZXzx1TIvnfpgK89crTUgp+MjKLGrjh7V2YLDZUcilLbhrL+KjhrRQcE+5BUqCR7O68o5nxvqR0e2vctUrumBLJS92q4m4aOWMjeh4eMb5G/rgi2+mFXDg+DH13iO2CwHYCt/yOVO+xSO1deOccpPKqNQMa0/qcGu74cI/zc05lCy9cloxMKuHiwFa8PvkdNX6TsMh0RG/9He7XrAaiCXDXsGhCOG9u7vFyXDa6x7t3sTEfv7WP8b+oq/DN/R6bzo+WcZMB2F1Yz0OfZTmFPCUSkEokXJoajNVm529rj7IiS9C22pZfT4vJwu/nCMnCdofEpd2Nm0bBX69MBgS1/KdWHHIaFseP8/0zY3A4BEN2d5GQ/F3aYCI93MN5PGfE+7Aiq0dFXq2QMvq4VlT5XqTL7wa9P0RMQXrwc/AfCZMfOunxHR/lzea8Hk9Ia6cVP6Oay0b36Ff1p1EWabAxqv0/qFqKqIu+Au+CZcw99BBll3wNwOeZZT0eRhu8u60IT52S+2bGMCbMnds3qZ2G0FOZSiZEezAyyA2ZVMKEKC+25feMSS6VMKo7RLzlWC251W1ORf2LkgMwqmu4emwYIDTZvnxMX+0tX6OKEQEGF/FmwGn4sv8j2Pw34RjqfCD7CzD4wXlPsaeomadX9pzTFrOVhz7bT5y/kDe45mAlZY0m8mvbkUslzBrhx8ajNVw2JoRl+8qdRhdASYOJP6/O4YNbx6JR/PRjL9pXT5yfnqPVbS7T548KQiKRYNQqWDwngRszwuiw2Aj11DkrKRMC+uZmAkT7uHojrTY7UokEqVTS7/K/dV599VWn0XUcs9nMq6++yhtvvDFs+33++eeRy+Vcd911w7aPgSIaXr8yMosaWN3tpn9mVQ4zEvz6zW85VSqaTPxxWTZb8up4YGYMt06OdN5QypvNfLyrxPl3TmUrE3olak+O8WH9w1Ox2hwEuA+8wkilkPHQrFguGx2MUSM/Kxombzha43xD7bTa2XC05tQML7sdpFJB02kAXj+A5GB3nr5kBJuO1aGUSTk/yR9/954KqZsnRhDmqaWurYvRYR4kBfUUNlQ0m4j01hHrZ6C+vYv1R2r4w4U2VHIZh8w+yGf8Hd81twFQNfddjnZ6MpDC98ziBuL8DET56ujotPH1vnLunR5NqJcOr4hk6i9+j20NHnTYZVyQdh3eseOc6941NYqRQUYqmjqJ9dcxMbqXrIMpmatH3kLAwbdBKmdLxpvoOw14A5nFjS7q6UJyfROXpgZT3mRCYa7n2Qw7f9wh5ZXpEr4uqqKpIwp3rZLC+nYmRnvhplEgk0jYV9pEZbdkysHy5j7enNwawRCoaTU7ja7j7C5qpKbVTJi3jguSAvi7w8HyfRX4GFRcMSaE+OMPWIlMCLfiALkGxtwE2h6j2Gqzs6e4kbyaNkI9taSHezqV569JD8Fis7MiqxK9Ssblo4OZP6pH1Lgpbyc769Tsb1RyfVANAdGjkGrd8Pfzp2DUPSgCJvNoyXgWj5uKr6wN92DBW72zoG8T50OVgqE5Pd6PZy9J4p2thRTXdzAtzoebJ0ag6w4h/umiEbzyYx6rD1YS66fnkfPjGBksXGuHq1r5LLPHO/3l3nKMajl2uwOpVML+kkbWHq6mvr2LcC8t81ICCfLQYrU7GB3miU6lYHdRA+5aBVenhfR4h0LGYgudSFbCIzRa1UxVv4g0bi5SmaKPsQbQZbNzpLKVIHcrW/LqnIKvVruDNdlVBHsI95BvDlb0WTezuJGSepPTe9gfRo2CJy9O5ImvD1LY7cm/KDmAeSmugtOB/QjsXjzSn5KGDt7eUkin1Y5cKuH6jFAu6T6vta1mvt5XwdI9pbhrFFwzNpS5IwNQD/BF9bdCYWHhKU0fCpYsWcKqVatYv359n4pdgKCgIEpLe1IiysrKCAoavqII0fD6lRHorkEll9JptZMR6Yn2hBYiW3Pr2JpfR5SP7pS8Ydvz65xviH/57igz432dLT/ctQrCvLTOkGJQP8aVTz8JzANBrZD97I3wdCOXuaY9Kk7lrfTwcmivF8q3sz6B8feAYWA5P2PCvBgT1r+Bd6CsmRe/PUJ5k5kF6SE8MjvOaWyHeGpx1ypZk11FkLuG+aMCUXZ/hxRlBV4H3wKFBhx2fLLfRjo1Cji5ZzHcS8sOuZTVB6swauQsmhDuEtr2GjmL+T+x7t6SJh7/Kpv2LhuhnhpeWTDaGbKdpC3HbfdXgv6X1UxIxWpUCUJ4wb8ffTiv7iR3T2k7Lxq/RFaby/TLHyRox9PMip4DUqFUPinQyPvbS6hqEd6kZ43wI6B7e976vi8mHt0FBj4GlUuBx/Hlj4e91QoZl48O4fLR/fyWAlOgbTZ8fJXwOfVGGHGpc/ZnmaU88XW28/MDM6N58LxYJBIJnnoVD5wXy22TI5FJQKXsuRU3F2Ri+HIBo7zHovWbQ9CKx2gZdRvGOU+CTIFX0mx2aFM536OLPHU0vlEeuOmF32SQh4Y9Ja6GpE+vqtJrxoZyfqIfje0WIry1Lj3y4gOM/PuaVJ6Ym4BBI0ffSw5h7wlyEEC3d8zBkcoWvt6yjx+LLZQ0W5kZIqGxuZXfXZiCh05Jc0cXNa1m5o70p9VsZdm+ch45PxaAjS1+rNM+QWOhBocDthmeIKkxmEvD+Un5DE+9khazpY/KPvToE8b6GThS5eq1MqrlJxXrdTgcfJ9TjYdORUKgEQkS9hQ3cqii5aQvlTqNkscuiGdchCe5NW2Ee+k4b4TwW7PbHfxrXS4f7SxxLr+rqBGLzc7V6aE/u93fGhERETQ29r2eIiIi+ll68Hz77bf85S9/YePGjWi1/XccSE9PJzc3l8LCQoKCgvj000/5+OOPh2U8IBpevzpSQz349PYMyhtNpIV7uEgLlDa28/jXgqaTTCpBo5Ax94TWQGWNHTgc9Gl50bvk38egwtDrBuVjUPP69WPYll9PsLuGGQmDa9NyNhPqoeXS1CBKGjoI8dASMtDmt3Y7mJth9cOgchMq3ax9xSFPFZPFyh+XZTslIz7cWUJKiDtXduuwNbR3saf7oVjeZCKzuBGHQwjTeXkYkbgFgX8i4EBibsXbY2AyIHXtXRwsFzTfWkxWVmRVcPe0k4suNnd08dSKQ07PVUmDiU92lzgNL7UcbMZQPg96jNHmHXhLWzHbhGVnJvhyfUYoH+8swe6AabE+zEkSDFeDmzcW3wSk2Z8SXH49yFVIvKNRqoWHYWWzmcZe+WubjtUyrzsXaEacL/tLm9iSV49OJUOjkDEpWjByw731PHReDH9be4zGDgseWgUPnRdDuPcA2hh1NELONz2fj30LYxZCcBqVzSZeWH0ED62C+AAj+TVtvPJjPnOSAno8ZoC2H+2wzXU6kgNmEVrwKX6la0CpZ7csldFmOx46cNMqmBHjSZ1JCD1rZT1JSRcnB7DhWA0tJiEP0Meg4vwRroa2BCHMZbE7UJ1QXiXraiXA3Si4GztbBZ02egzg3vgYVEilUkqL87mv/T/cnJjOTv1MZhX/g6rOOPYV+OLj4ca3h6qw2BwuuaDHk9B35NeTXQ/7SoUQcpSPDpO0kVkj/Bkf5UVKiBtZpc093y8lgFEh7lQ0mQgwyJngb+fLXDsahYwrYyUo3ARj++r0UNZkV7nklz1yfhz+bj//gnisuo33thX1yfP6bHep04g6GVPjfJka53qPPFrdyie7Svos+/rGfC4cGYhefe48iu+55x6XHC8AtVrNPffcM+htL1iwgA0bNlBXV0dwcDBPP/00L7zwAp2dncyaNQsQEuxff/11KioquPXWW1m9ejVyuZxXXnmF2bNnY7PZuPnmm0lMTBz0eH6Kc+ds/4ZIDfXotydZi8lKeXcTYpvd4Xz7P86PR6q588O9AH363E2K8eH168dQUNvGhCgvAk94u4v00aGUS3DXKJ1Vc70pqmvHarcT5aPv15X7a2F6gi9Hqlsoa+zAUyvnvIQB5p1JpRCcDmp3MDVC3Fxwc/WSZBY1cLSqlRBPLZOivQeU49FpsVN5wnnsnVx/omp4RbPJWdxQKQ2k2es8ErfcB0g4NOm/eEn9OG6K17d18v3haiqaTKSGeTA1xsc5pnaza0JwXZugI+bR3cv6h5xqNhytxe5wMCnGhwu6DaT2Lluf6653cv2PHdHEjv8f5TUS7F7R6GUOQq1qggCjRskz8xKZk+RPp8XO2EjPHq+LVIrCPxGHzgdJWw0OjwiU3pHO7UYoW1g1LoenixK4IKCDWGUteWYh/Bbuo2fWCD9MXTbq2rq4MNmfjF7h43nuhZw3pZgPOjK4QbsDnYcSCD/ZqYHWCuz5P1ATdwPFHuMZl/kwlsqDKILTaGzvYkKUF51WO1llTcT7G8iI9KKmtZP4k8R681uk6D0nE1rwKQCN3qNZWWEg1mzFQ6eidf9y2vO382j1eTwenkuYqh391PtAriLYXc1dU6M4XNGCRCIhKdBIiKfwW3Y4HKw6UMHzq49Q1WxmepwPj86OZ0RgtyF44AtB6HfWM5C7Foq3w6ynQOMh/P6PSenqrhxUyCTE+RtwOBx4OJpxbzmKd/kPBBo/QdFSgjzMziFzM21mXb/J9aZuw7ymtZN9vQRU82vbCXBTY7IIOW+vXTuaH4/UUtZkIsZXz7Q4H7RKOdFeGr5IO4IxfyWeSY8w1VBKeuHr1KS9Dgiq9p/clsHm3Fo6uuykhXkwNe7kFbJtndZ+k+tLGtr7FZYdKD+13YGq9P+WSElJ4dVXX+XVV1+lsLCQiIgI7rnnniFJrP/kk0/6TLvlllv6XTYwMJDVq1c7P8+dO5e5c/vqKw4HZ+RsSySSh4BbEVSIDgI3ORyOwbsHznES/A08MiuWD3YUkxrqzswTknO/OVjlzHVZdaDCxfCSSSXOh+eJdFptvLw+l1d/zCfSW8dr1412eWtfd7iaez7ei8Vm5y9XJHPFcCunDyMFtW18vbccD52S5QcqmZ0U0O/bfh/sdsj6VFBzT5gHPz4nlMp3K0Vvzavjpnd3Ox9c/1mQysUn5I30h7tWyW2TI5z6SkaNnPTwHqN7QpQ3b2wqcD7cbpoQ4Sxu6Ko5RuLOxZSHXIzEbiFx92KKgkeAexIA/92Qz1tbevIq3l6YxsxuQ3NCtBdvbSlwPixuHB9GUHf+TFZpE498kUVjdwufr/eVY1SnMSHamwA3NfNGBfJVtzCuMMYeI8fmcLDos57efQn+Bl69ricpWyqVEudvwGK1u4S6aKmE7a8gMTdD+m1IMt+CrI8hKA2UGua5F+K99mn+GXYhHvk7keAgMlnQkdqeX8ejSw9gtgjHXnjQS7h1ciSWjhakO17Fr+h7FsVchfeuz2kPn4UlZDQKbf/J0sc5ZAtmW8gL1Mt9KG9UUpP2Hi2WGK5DsMMb2ruciu07ChoI9tBwfcbJfxtXBzXg/+UjoNRTGzgNn6JVPD0yGjf3GXS21uPY+x7+Jet5LTgH4+6NWHSBNMbMwSM0ka+zKnhjU885XZFVQXunjYfOj2VfaRP3f7rfWTjw49FaLDY7by9MR9XVDNlfwrE1UJcLZTsFz+2YhRDkQYiHhguS/J3q9HKZhCB3LRKJhBwiqEn4M3N3LUTRUoLVEMzbbvcwRi1cDwn+BnKqXPO1Arqbb+dU9hWy3V3U6NSn89ApCfPWopRLCfPSOjsVtDfVoa/YhrFmN491/QFFgaAmr2grBdKFfbipCfPSYbLYCPHUDiiXKsZXT4yvntyaE5LrU4MG9UIZ46sn0ltHQZ1rePTS1CCXaIPVaheqkgfQv/RU6LTY6Oiy9ej/nWFSUlKGNZH+bOe0G14SiSQIuB8Y4XA4TBKJ5HPgGmDJ6R7Lbw2pVMrd06NZMDYEN43CJX8DYGSQkaXdhWq9E7RPRkl9B6/+mA9AQV07W/PrXQyvj3YVOw26f63L5aLkwF9twujOggZq27qo7c752V5Qz7jIASTXS6VCTpelA9xCIXIq+Pa059hd1OA0ugDW51T3Mbwa27uQSSXOh8txbp0USYyvgYaOTpKD3Ensde4mRnvzwc1jOVDeTKC7hlm9wiHt+nC+HPEvlpdoUUgdzI67gpEGIZ+kpsXM+9uLXfazs6DBaXhNjfXh/VvGsa+kEX+jmpnxvs4Hz+6iBsb6OdhaIcNiczAjVMbuogYmRHtT2Wwmv6aNeSmBWGx2NEoZB3s1ZD98woM2p6qVfSVNRPoYsNvtfLCjhLe2FGDqsnFNeii3TAoXeioaA2DsbTiiz0OS+S6O859H4pMg9J8DtMnz6azfj8+eNwFovfwTvMMFA3NPcaPT6DrO8TBqSbuUL5S38TtDDt65n2M1BPMf5W1c2S4h6iRR5qOVLTToo6loMmOz29lvCaGjQniwmi32Pm1yyhpNfaRD+sM/OpWWcY9QqBnBxhZ/FvpEY4udCzI5BW0KNno/wK2txRjLNoBUxp5x/6a+yZMLQ3GGnXtzrFowerLLmnkx3cTuBjVfF0j569gO1lfXU9LQQYyfJ60zX0LTUIi8dAcAjRe/g0eQoIh/UXIgdW2d/G9TAQ4H3Dwpwpk07m5rIK2iJx9G3lrGLNtmai3RVDSbifEzoJBLOVDWjFEj54LEABq7tdGSgtz6JNHH+xvQq+W0mi08/02Oiw7co7NjuXNqNMfaVbzvuJnnfarQ1u4HYO/o51laEsOf0+FQRTO3vZdJRbPwPq+QSXjl2lRmJ/68u9GoUfDCZSN55Iv9FNcLntr5owKZP2pwidbuWiV/vmwk93+yl5pW4d4yJsydRd2CwF1WO5/uLmHl/gqqWzuZHOPN5aODGB3m+TNbPTkWm501B6t4a0sBRfXtzE0K4IaMMJd7iMjp50z5N+WARiKRWAAt0LcEReQX4/ETnXSvSgsh0F2LAweTogfePsZNoyDUS0tJd45G4Al5EiMC3PjxiNBKIyXEDdUwN6oFQVvsi0xB02lSjBeXpgYPibF3opaYzwB7xgGCSOpxehldQJ/ec8G9qqLsdgef7ynlz6tzUMlkvHj5SKcBBKBWypj9E97IyiYT720rZs2hKqJ8dAS7axjVHYZOCnKjsC6D4qPHkElBF5nqLHnXq+XE+umd0grgqhwvkUiYFO3d73Uyxq2Vy3mZo6kXY5JqSC97n6MeLwBgUMtpMVlcJBiuTuvxaJ1YgatWSJ1aXD8cqeXplYecXrZXfszDW69k0cQIsNuorSzGZ+MTIJUj+f6PVM96Db9oYVlt0feQ8xVIpOCwYzjwLviGg98IfPvRhzt+Xt01Mi7UH0HeWgYSCfLWMi6MPoK7Zkq/x7s3CrmMXUWNTmNHp5RxZ3ceXKCbBneNgqZeavQKmcTZhuvnKG628mTJFDbl1WN3VPOxcRL3evlxfQx4aOXM1ecibxJehLDbCK36Dn2wcL0FGDVAk8v2PHSCIT9FX0bokYeZ5ZXM/IlXM2n/Y0wNnIJUPg4ceuoP/0B4fY9yfdfejynQRREZHo6HTslDs+JYMDYUu8NBYK+q2zh9Bx4N+6kNmsGeoBuZcegPBDTsxN1wHVatgu8OVRHormFOkj/tnVa+2lvGHy8Sxnt1eghrsquc4XO5VMJ9M2LQKOR8n1vtYnQB/G3tMSZF++CuUXCFVwnarIPOedFly5iekgbARztKnEYXgMXm4NmVhxkb4XXSKvC0cE+W3SM039YqZSQEGIek+XZGpBer7ptMdnkzKoWM5GA3DGrh3Hy2u4Q/LT/kXPajnSVklzfzxg1j8BtEtfd3h6q4/9N9zs+f7i5la349n9+ecUoV6CJDy2k3vBwOR7lEIvkbUAKYgLUOh2Pt6R7HuYhGKXfxiAwUX6Oa/143mu159QR5aFyMAhB0vHwNKrqsdi5I8j8tOV7rDlc7NX6+OViJl041JG05Lkj0p6G9i43HapkY7cVFyScPBw6Eud2l5qsPVjIuwpOr03tCTvtLm3j8q4PdISAr93y8l7UPTSHU8+QP6ZUHKllzSJAXya9t5y/fHeXDW8YhlUqQSCTMGxXEjHg/JBLXJtBapZw/XjSCP3x9kPzaduaPCmROUl9vQG2rGYNK4ZRBAEgI9qVL50VG1mJAQlvINOJChGui1WRherwvLfsrqG/vIsZX72LMJge7kRJkJKu8BbVCyj3TognufgAcrW7B7gClTIpUKniN8rtDMxV1zXTUVeIIns16v5uZW/o3muqr0XaYMWi7XwRkChh7G7RWQ2slSITv66VXMSPelx+6q3ajfHTOJGsvpQ0VFTT7j2NXzCOMzf07EZJK9MqTi15WNJmoazUJ6iF28NUryOyWpvA1qvnTxSN45IssZ2jv0dlxxPidvIJ3/ZFaNuT26GlVtXTx7tYi5o4MwNTSiKZkExZ9EIfG/YWIw6/jXrmF2pYFQDCzRviyKbeWlm5DxluvZEqMkNvkERxHbcTF+B39kEmVm0GmoHPElQR6eZOTV4h3/jfYlUY2JL9ESvkneJevp7L6BggPd47Fvx8jwCMqne+S/8XaEgcrNsHjqX8mODCIuSERSCQSHpoVy4trjlDYfS4jvLVMjRVeUsaEefL5HePZcLSGLpudiVHepIULXp7i+r5Viw6H0P3g4igFgTVLAdid+iJhtT/gW7aWCZpSIINdRX1lNcqazOTXtJIWfnIPtodWOSz6fb5GNTNOqN612+2sOlDZZ9mssmY25dY5C2lOFbvdwaf9JPSXNnSws6hh0F48kV/OmQg1egCXABEIr2ZfSCSS6x0Ox4cnLHc7cDtAaOi5VW57NpIY6EbiTzTG9jX8dA+94aJ3+T/0UsIeJAaNgjumRnHH1J+o4Ks+DB4RYGoQtLo8BnZteupU/GFuAg/Piu3jmWs1W5gS44NOJUMqkVDRZKa9c2Bq180m1+9d2tjh0jmgNecHdrT5IMdOmrEJQ9xU57LjIr34+u6JNHZ0EeSucZHSqGo28cWeMo5UtmDUKLk42Z8J3Xpcas8A1KmXQd5ywIF+1GXgIxyHZrOVD3cUkx7hiVGtoLSxgx29tKUOlDWTHOzOxaMCkUok/HdDPpOivQkH4vwMzB8VhMlixWJz4KVTEuMjeFbqOiX8rnAiIbrxrN9qY1f07zh4RMEHkx0YAGJnQVstfPeYEOq96B/gK0gWtJgsHK1q5aLkABwOoQLyeNsilHqax/6OzCP5vLynk/tHP0NaQhR65cmrGoM1XawduYEKQyIrKz24W/st+/U9xzc5yMjvZsVyrKaNME8tGREDCxudeE4Balo6aTVbqehUEhg3H3PXOP6apeLFpKswSk0c7XAjBbgkNRg3rYIdBQ3IJBImRHs5ddTcPH1Qp86Ho8Kt1uYVj1+3/lpBh4rXbDcxPnYBT2xRc0nE7aRFd1JS58uok4zXQ6Og2X0EspYm5iTZKFEoCPfwcb6A+epVztCzvDuUfrxAp7rZzLtbC/liTxkOB+wvaeL/LhpBlI/eqYx/IiEeGtB7UDX1b3RWH+Oj8khGBo1ibtJVaGIvBIScqrwT8rQC3NRolGdfErvF1rc7xXF69+88Vax2O6WNpn7ntQ5iuyKD50xchecBhQ6HoxZAIpF8BUwAXAwvh8PxBvAGQFpa2sCa/4mcM0yK9ibEQ0Npo4k4PwNjB/hQGxRNZfDRlZByDVRlg94HLvwHyAeesNpfONTPqKa8qYO8GuENf2KUF966gSXXZkR6uSTXLxwf7kyubyvPwbBsISN9xiN1WDE07KV94Tp0/tHO9Y0aRZ+cMoBVByv5e6+GyfVtZpIC3TBqlVB7BJbdBdGzQKWHVQ8Kiu2Bo4jz03NhcgBf7+sJNT42O87594Qob+7spYg/LsKTWH/ByIn01vHDkWqnt0YqgYuShUTpaB8DEf7efHdY6FP5dZ6Na8cF9YjuHvkGvn1UEDQt2ABLb4Zb14N3DMnBbrSYLS5ehVsnhwPCQ++5dSWsyRY8TA9818accgUvL/Dqt3q3N1N1pajWvU24VMG9fiORHtrMqMnuwEV0Wmw8980RNhyrdS7/TXYVS+8cf9JQV5y/AaVM6pITOGuEH2FeOgyOVuQb3sdQ9iOvhczEbcMPWLT+jLs43bnstDg/psX149ku24PqyxsFz2DUeciOrYE1j8Jl/yM52MjrXUZW7hYWXVYAK4vU/PWKk3vo1uZU8X/LD7n0cF13pIY4fwMKmZQ/Ls92EcYF4UXu2nGhLNtfzue9hFl/PFqLv1sBL1yWzPhILy4fHcSXvQo1HjwvhqQgN5pNFm5e1UB+jRqoYBnwLFpelNZxzdhQJkR5sbuowfmCJpdKuCw1qI+K/NmASiFncoy30yPonC6XMmoQLcuUchnzUgL79OAEfvIlWuT0cCYMrxIgQyKRaBFCjTOBzDMwDpFfMfEBRkHPrMlEqKe23xDIkOMeDOc/C0tvEgRAb1l7SkaXw+Gg1WxFp5K7tGSqbjE7jS6Arfn11LV34WPs+U5tZiumLhueeqXLupNjfPjwlnHkVLbgZ1Qzo1el6o5mD/QjnyEj80EAtqS/grXJwLQBRGSPnZDwvC6nhsL6dlK0SvCJh2s+Au844SE+6joIEErBpVIp982IJtRTS3VLJ7F+Bi4fI4Q0Cuva8dIp+P62WL4vkRDpBqMCtei6qxcPVrQ4jS4AuwOyK5qZGufLsZpWjLIunpzqwYZKOXNCrWyqaKei2USgmwYip9N54X/YJB1HTOQCQiT1yLxjAIjyNfDOonS+3ldOQ3snc5MCOC9BOAglDR1szq3jouQArHYHcqmEDUdrKWnoIKr7Id1WepDNTd54qW0k61tQB4wAYE1HPHPOewn96nuRFG/GFj+P9yzncQtQ3NDhYnQB5Ne0cay6lXERfUNYR6ta2VvSgE4lx2azc9PEMHYUNFDWaGJanA9NHRbq2zo53ChjveouHncvwa10PUhlrEr4Cw21btzS3Wp1S24t2/LrkUklTIrxYlxEd56eTyzWGX+kUe7Pt+3RXBM2GYlXFHK1G831zUyP90WnkjsrMK9OD8HWSwpi/eFqtuXX4UAw+I+H9g+UNbsYXSDIJOwrbSbSW4uvUU1ysBsWmx2ZRILJYqOyWfDE9Kcw//W+ch6eFYuPQc0zlyRycUogFU0mIn30pIa6I5dJKahtJv8EjxZAZlGjIBI7wp+Gti5ya9uwOxz4GdTMGRkwoHZmTR1drMmuZH1OLV46BXNHBjAl1mdYUyguGx1Ednkze0uaACH38fcXxDvDrr+Uy0cHsz2/3lnoIZHAE3MTSA7+bRpeN998M6tWrcLX15fsbEG8+I9//CPLly9HKpXi6+vLkiVLCAzsm0Iik8kYOXIkIETZVqxYMWzjPBM5XjslEslSYC9gBfbR7dkSOXtZf7iazXl1BHlouDotGKOmx+Coajax6kAlnVY7F44MGFAC8VAQ5KElqJ/WHYOhvLGD/20qYFdhA6ND3bljaiRhXt1vya2VgmSEzg/MjXD0W/BJGJDxVddm5t/rcll9sIr0cE8Wz4l3Hid3rQKpBGdSuU4pcybdAuwpbmDxVwcpqe/gunGhPHBerIsC97hIr34rLyPVLXjXrga5ChwORjZ8R2PipAEdhxOLDALd1C4FAUTN6Pk7Zpbrfn0MPDQrzmXaV3vLePyrg/wjvZlRhS8xevSLeB9Ziz6vHS76M2g98eqn1N2ru1DEX2vnbvkyDKXH8Ay5nZk5L5IePg+jXDD4tlRKeOLHYIobhLf7q9PCeSKqy3mdpod7kt7PQ8xNo+Dy0UF8sKMYu0Pwst2QEeY8vm37v0b/zV1ok1/Cvf0IsvKVmK76EE3IKCZ5tqDe+rVzW9KiTVx23iXAONw0CowauVPIFASvi3s/3sUdBfXc9O5uZ6uqkUFuJPjraTFbifbV8+2hKq4bF4ZWJcNXr+Ait3xUBd2SHHYbI1s2UhoqVHCuPljJo1/09Lv8YEcx/7wqhenxfjSX5WDY+BIyz1GEB12FIuvPtIfOQB42HjeNgjc3FRLnp+Oh82Ioa+zg72uP8cq1qQAs31/OY0sPOKuXP9xRwouXj+Sy0cH9evCkEvDWCUU5o0PdXbxWvgaVM78o1FPLgTLXStcQD60zH1GnUjDtBDHS4+dNIZP00Qjzc1N1/6/mnhnRHKlupdNiJ85f7ypP8hM4HA5e3ZDHm70kOb7YU8ZbC9OYET98vWRHhXjw5g1j2HCsjmZTFykh7owZZEUjQLi3jrcXppFZ3EhjRxdxfkYSA41nRZ/Iuro6KioqCAwMxNt74MVeP8eiRYu49957ufHGG53THn30UZ599lkAXn75ZZ555hlef/31PutqNBr2798/JOM4GWck4O1wOJ4EnjwT+xY5dfKqW1n89UFqu/MQZBIJN0/qae/w7rYi/rdReBAcKGviv9eNOSt+2L+EL/eWO2UWjlS14q1X8fD53UaEyg0ip8HMP0FzGdi6BuzxWn2gig92CImu3x6qIsJHx+8vEFwUycHu/P2qFF5ccwSNQsZT8xKdRo7ZYuOPyw+R2920952tRSQGuvXbkPhErA45HXI3to78F3KsjGjdhk0ysMpPfzc1YyM82VXYgI9BxewkfxdP26lQ1tjB/y3LptNqp7ZLCV0dZGxYAHYbx+LvRtPqIEQLY8I8uHNqpFOyYHaiv1Nrzt/Tg9qAOLyPvMEllRtAKqfd7wH0OsEruCa7iuJeQq2fZZYyKcaLi1N+PoHY4XCwMqvCafTaHYL21b0zhHDsoXY3Rqm8mbrnfgCqQuZS1qIhDfCX1EN9Lpaka2gOnIz3ht/jZi7v3i7MSwnko50lTm/QxSlCXltv2sxWPtpR7DS6QJC6GBWkp7Shg8K6doLdlGw+VsdD58UQ5w5trTuw6AI4NO4vRB7+LyF1WwjyuR0QDC+r3cG0OB/sdgfbC+pZn1PD9Hg/QRE/cDahBZ8xuUI4hvvcZuLbLCXWX8vjc+JZuuMo/1yXi1YpY0GqNxndBv3q7her43TZ7CzfX85lo4OZEe/Dsv0VLppcV6WFMD7Sm9ImEyuzXBPHa1o7qe4W2Y32MTDCv42ZIwTv2c6COkYGu2Pv5ULLLm+ipMFErJ+eaF8h9Bnpo+fuadFszq3D302FBKFf5Pkjety5cpmUpFMMqeXVtPHOliKXaXYHfLa7bFgNLwAvQ/+NxgeLm1bZpyDqTGI2m/nTn/7Eli1bUCqVdHV1MXnyZJ5++mnU6l/Weu44U6ZMoaioyGWa0dgjfdTe3n5WCHyffZmGImcd9W1dTqMLcN40j5NX3ePyP1TRQpfNjnqADaJPxuGKFjotNkYEGvuGCZrLwC0YmsvBbeAVOja7gz3FDbR3WkkOdncRSG08IUm/dxsalFqImi4k12s9heT6AeKyHaCqqcdIkEgkXJoazPkj/JFJQa3o+VmaLDbKT0iQPTHhdvm+MrLLW/BzU3Pl6GDcuj1HxWYt/669iiM5VqQSCVGel/F7s5rjZQON7V2sy6mmstlMaog7k2K8nTel6hYzIwONjI/0xGaHbXl1tJqtLv0af5Kqg0I7nfCJcOxbHOo4Z1PkL4q1nBc4k+C8j0Aq55Aug3CzlBCEqttHZ8dzcUogXVY7Cf7GnmpKqRSfxGk4dgcgaa3A5puEX/x45y7r+ymuqO9VgLGzoJ7P95RS19rJ/NQg5o4MQCWX0Wq20tDhejwbOyy0mK34GGB9rRsBgTMJPbYEgHzfWZS0q0kDJJFT4dL/0WWMwCb3gMAIpCFCsnqrWZDUuDhZSCpXyKRszatjwVihQq3VZOGzzFK+P1xF0wnaXglecu6RLWPCuFg+K/Pkee81bFVNpsNiQ6Nzp37i0xzJy+Xeb63cP/oR5sQZiQ4QXg4UMgmzE/1Zl1ONXCrhouRAjj9n8lsVxERdCAWfAdDplUChKg55eydg4DL1buaFbOLjhEXMUmUT2LIWrTQOUFHd2lffurLZjN1uJ8bPyN+uHMm6wzXUtHYS5atjXnIgcrmUVpPFJVftOC1m4ZhbbDbCvPW88mMeDgeMj/REo5Rh7rKhlMl4Y1M+/92QT3uXDS+dkt/NjmXB2DAAMiI9Wb6/nL0ljUglcO24MEIH2uLrJ2gxW50isb0pqmsblHK9SA9PPvkkW7Zsoauri64u4Te6efNmnnzySV566aVh2ecTTzzB+++/j5ubGz/++GO/y5jNZtLS0pDL5SxevJj58+cPy1gAhl9wSeSUqW/r5OOdJXyRWUqreeiqT8oaO3htQx6vbcijrLHj5Ct0E+dv4IYMoWot0kfH2F7K6QBzRvqjUciQSyXcPDF8yMRTV2VVcPErW7j0v9t45cc8LL1v4MXb4N25QmPqt86D8r0D3u4XmaVc9b8d3LQkk8VfHXAxiiZEeWHs7pumU8oYH9XLBd5UBh9dBZv/Dt88DBv/AtaBVVNmRHo59c2kEji/H10unUruYnQBuGsULJoY7vysV8kZE9Zz/L/ILOXhLw7w5pZCnvsmh1c29CTSGjUKmixyrHYHXTY7ZrsCt16SEm9syufRpQf4x/fHuPHdXWw42pOTFOSh5e2tRfx7fR6v/JhHkIemj35bv1hMsPkf8MnVsOEF+PRagqrWc36i4Ll6fkQZwXkf0ZB0Cxa1NxcVPkuUrie/TSaVkBjoRmqoh4uEBV3t8P0fkXTUwsQHkVXth23/cRq/yScIQnrrlc4E4ryaVm5aspsv95Sz8VgdD32WxbruJP0ANzVTY13DHFNjvZ3f9S7fbEKPLaE2+Dw69SFM3P97LvDo5cEJn4DOM0DQIgufCDLh+IZ6aUkP92RFVgVrsqtYkVWBh1ZBXLecxKqDlTz3TQ67ihqJD3BNYL8xxoz/oTeYk/0w/1S/SVDO28x2bMFLLRgki9dWc8c6Cxabg7/vNnPJ5/VO6QV/o5oVWRV0dNloMVv5el+588XiEt9q4jbeDVI5zcHTUNUe5JLyf5DoJcHcUot930e4H3qfG0r/SMzmB9Ec/oL60hyAfqUVpsT6OEWaEwPdeeC8WJ6/dCQ3T4zE2yAcv0hfHSOD+nYASA52B6DDYmdNdpXTK7i9oIH8mna8DWrWHq7ib2uPOcOm9e1dPLXiMHuKGmgxWfjT8kMUdWsL2h3w4Y5i1nZLq/xSon10RPWTKjFv1OCU60UE6urq2Lx5s9PgOk5XVxebN2+mrq5uWPb7/PPPU1paynXXXccrr7zS7zLFxcVkZmby8ccf8+CDD5Kfnz8sYwHR43VWsnRPGS+sOQII3plrxg6NnMYnO0t4dYNwMbWZrTzWHeo6GbVtnewqaOCBmTGUN3VQ1ODqgVmbXc2kGG9kUgkf7yrh2nFhQ2J8vbml0Pn2+Z8f8rhyTDChXt03Rb8kCJsIn98I4+4Scq0GgMVq543NPS1rvj9cQ251K2O7E55nJfrzukrOsepWYnz1TIzp1d/NPVjoXbf0ZiG5/uZ+kuuPd6g+/n834yK9+PyO8RyrbiXYQ+MM4ZwMiUTCHVMiifXV09Au5H4cf2gB7C1udHlDX5Ndxf0zYjBoFOwvbSTG1+CsjGo1W9lb2kRquCc1LWbe2VrkMuw9JQ1E+eoBB2UNrob5NwcrefSCuB5tsY4GCtqV2O0OIvUWpLrufBSFBmb8n2AYb/orxF2INPlK/i9WRXqYFztNvvjM+i+fNI0gLe18lI5O1O06RnfbPlabnSNVLXRa7SQEGNEeL/9X6mDy7+hIuo4DmrGk+qagChgB3Z5VU5eNu6dFkV3ejJtGQaSPjoZugzqrtMnpcTvOzsIGLkwO5Gh1KzY7XJDkT0l9B6FeWto7rRyrbiUlxANt7DRaTX/kzfp00iPMjFfm4xE+6qTnTSWX8ficeILcNaw9VM3EaC9umhiBW7fHcH1OjfO459W0ccmoQLbn1+NrVOEeFU19xFt4fb0Aj9J1dEach23SIyCTU1jTgtFazxOju3h+r5JrYhz4qM0cqmghzEtHVllzn7Ec95ge7vLFEX4VJbpk3ikP4rmYYI7oxhHeqaTTauczxZ380aMCQ8VWAH5I+TuV9QHcAFydFkJDexdf763AgYN5KYEsSD/5fUmvUvDc/JE8s/Iwe0oa0SllPDo7jkkxwgnf2Utq5Dg/Hq2hqK6VQ+XN/Hd8C0fbtfz7oJyX0jsw2aSCh0sq6dPWB4R2Q1cPYFw/hZtWyZ8vH8mDn+6nsluA9YJEf+anippXQ0FFRYUzvHgiSqWSysrKIcv36o/rrruOuXPn8vTTT/eZFxQknOPIyEimTZvGvn37iIr6CVmhQSIaXmchvZsgt3WevMXIQOldMdZyCjoubhoFbV1W/r0+F4DXrnNNdg3z1vLmZiEZ9bwEX5QnKcMfKPH+BrK6G+iGeGhckmMt1UeQHV2DzSse6aHlOFIWIA/sabK66VgNX2SW4WdUc31GmDORXSGXEuOrp6BW8BCo5FLcNK7G04Robyb0p+zfUgUHvwCdD5ibIO97QaH+uPF19FvoqIeQscJy6beDvmc7KSHupPyC8nCtUs6FPyHkatC4/oQD3NToVIIx4mNQ8ePRGuc8iQSu7K4w1KlkRProyOmuXvQ1qLDaHMz6x0YcDkEUN8BN7Xz4BHloMHYn/HfVl2Bd9TBV7rPpkKgJrvkULv4Xar8YwQNVtAXaqoSKx4IfoeogoZFTuW1KJK/8YGPiSjckknIcDlDJlXybIhw/U5eVf6w75kxsPi/Bl+fmj3SKnX7XFMiDn1dj6tqFm0bHf6/zZsLxS1ECr/2YT5iXlsb2LlYeqGTpnUIo0rOfTg7HiwdUMhmHK1toM1vxd1PzQ04NOpUMpUw4hirvMFQzf8fjvyDMFO1r4JlLklg8Jx6NQuayfrBHT8XqoYoWjla18rcrk7kgKYC66grsP37pnK8q20pV4V48fQLxUZh4Vv0RHkV7iJzyPKOL30LdWk+V8k0ggKB+1Mg9u0PPdqWBW8suoKzFTqfVwi1el1BnhjXTFXRZ7VzkXoKyqMdjGlu3Dm2Y0DKouqWTbXl13DElAqQSVuyroKrF3G2o/zwpIe58cOtYiuvbcdMoXFTvA9zUfdpIBbppMKgUzPeuIO67B5muC2bc5AcYm/VH7DIVeXEfo1T79Ztc31+XglNlXIQXq+6bxOHKFrRKGUmBbgOqhhQ5OYGBgf0aXSB4vQICTtJB/heQm5tLTIxQ4bx8+XLi4/s6HBobG9FqtahUKurq6ti6dSuPPfbYkI/lOKLhdRZy6eggzBYbaoWUOSMHr8Z+nKvTQ6hoNmG3c0peNF+jmtevH8OWvHqC+1Gu99IpmZcSKLQSGUJZh7unReFvVNPWaWVeSgCe+h4DaX+LFnXy4yypjeVmn6N0tWhI7bZN8mtauf2DPc7+fK2dVl66PNm57iPnx+GlU1LZYuaGceHE+Z9cqwgAtQFCJ8K0J6C5BGyWHqPLbhemrXkMtD7gHgrJV7sYXsPBZalBHKtuY3NuHeHeWu6cGukM/5yX4Mfd06JYsq0IqUTCLZPCmdkto6BTKfjTRSN47MsDlDaYuCotmFd+7HGtv7m5kDunRvL6xgJ89EqevSTJmd9V2NCJu0XKhP2PgURKo28GFQ2dJPoBdiuYGmHU9ZBxN6x6CLp6PBNzkvz5IaeGfWVNqORSnp6XSES3UZxZ3OhSTbYup4bzEmq4Zmwoje2dPLXiEKYu4Zw2m6z8e10uY8I8UClkJAUZCfXUUtwderp0VCBh3QKc6REeXJMe4mw/E+Or54JuKYT4AAOLJoTz3435lDR0oFHKuGliRJ/w32DCTNp+RDsvTQ1kR141apUKs8WGj07O6DAP1AoZtRWFJFVuoTxsPsd8LmD6gUeQlm6nNnYKVpkeU/hsfBv3MXPXLaDUUZl4B61ywTMb6qnFQ6sgOdgdm93B0aoWPLWCwZwR6Ymfhxv5DYJm2bF6C89fmoSfmxraG/Bu+A67QseRif8k+OgSgiu/w1t/GwBf7i2jtNHMf3pdIx/vKmZirxeUurZOGtq7CHJXOyVCeh+DhIC+ie4XpQSwObfOJQ/s+owwvAxqDipD0UdeRdCx9xm/6z4AilMX06oJYqyvnjunRrloVGmVMs7/BZ05+sNLr2Jyb2/3aaDVbGF/aRPNJgsJAUannMlvCW9vbyZPntwn3KhUKpk8efKgvV0LFixgw4YN1NXVERwczNNPP83q1as5evQoUqmUsLAwZ0VjZmYmr7/+Om+99RY5OTnccccdSKVS7HY7ixcvZsSIEYMay88hGl5nIVE+ev7voqE/6UlBbry9MP3kC/bDyGB3RvYKcfUmq6SZKD89MqmE9TlVdNlihyS5PsxLx9wkf8xWm0tTboCsJi3Pbw7G4ejgqyMhvOCtJrV7XpPJ4tIU+ViVqyZVrJ+BP1+WzCmj1MFE4QFAwEjXeVIp1rCpyNXu0F5D54SHUHlE9NnEUBMf4MYr16ZS3mjCS6/EW9+Th2XUKLk7oobxfmFIsZGir0Wj7JF5SAgwcs/0aMobTf16ChIDjHz34GS89CqXXpNFnXomjrwIFCawmFAnXU6+2Z1EEKQrMu4SmoVrPOCaj12MzzAvHbdMjmBHQQPeeqWLplV/3Qfq24WijlazlaoTijpya9swW22oFDK25tXj76YmKciIVCJha3492RUtTDeq0asUPHVxIpeODqKj08rIIHe8u7+vRCLhKr9yrphVzfstY7jRuAephxqJRHhDprkMDi6FUddCSyWU7oTRN4JicNVXccp6lsau4z8tU4k22pgr3YFaGQfoWFvvw66wl9hWq2JLroPnxv6XL0t0PG8COzYUMjmOiClIag5B0Bh0KjU5ZsHzU1jbxpyRAazYX4FMKmH+qEDKukON3no1N44PI9hDQ6vZSoS3jrTuvp7oPKmZ+gLFBcdYtEbCrSPv49o0JeHhwv3iRHFPEIpqHN3JWSuyKnhu1WFq27pICXbjjxeNcNGgstjsVDaZMKgVePSSDZkY5c19M6M5WtWKwwFhnlpnzl2lWYlPxByCjr0vLKwyUOE9gSaTsM/bp0QS6aNjX0kTHjolM+J8XTzKDoeDgrp2Oi02onz0fbxW1c1mKptNBLpr8DUO7nwOlpL6dh7/6iBb8wWjWCWX8pcrkrnkN9jW5+mnn+bJJ59k8+bNfaoaB8snn3zSZ9ott9zS77JpaWm89dZbAEyYMIGDBw/2u9xwIBpeIoNmSrw3z6zMwWKz89jsuCFLrv/mQCUPfLoPq93BAzOjuXdGjFNNfEKUN34GFVUtnUR46Vxu8jE+Bi4cGcA3ByuRSnBJTh827HbMu5fg0IVRHnUz8RuepSV4IsawlJOvO0j0KgVx/n01itrLj6D/6jqifKcgs3ehb9jtolz/xuYCXuv2YEyN9XEJLfoZVXjolGzKrcXPqGZqjC9u3Z6Tiao89Mt/j913BHa5Bs3aRznvyhCguxRerhL+QR+P37qcau75uKdp79a8Ot65KR29SvDSuGnkNHdrX8mkEtK6tYyCPLRcluqqYn79uFBnmFgqkbCr0DVfqHfEW62U9StcamppxLj7ZbQlP7AobiH+me/REToDU2gKGqMHFG6CdU9C6S6oPgitVRA0BoLH/PQJGQAduZvwzHyVu3x3o6msRtVWSn3wRLySZ5MQYOThzUqsduHl4fEdcuaP8iIuwEhXfSmK3CVIynZhj5qJdO/7GDQejI+aBATj767mtQ09OYzvbS/moZmCEZlV2sQ9H+9zyQnMqWzh9RvGYLM7eOTbOjKLBc/eGwesvHXQytfejaSEeDAnyZ/d3X0oj3NpqpBwvre4kQc/2+9MkM8qa+bBz/az4t6JeOpU5FS28K/vj/Hd4Wr8jCoemx3P/NQgZFIJy7MqXDokgFDx+Oz8JELNR4jfdhcAZp9k1LUHSM/8HW3zlwCBGNQKLk0N5tLUvhIM9W2dvLYhnw92FCFFwrhILx6fG0+8vxGHw8Gy/eU8vfIwTR0WPHUKnp6XeFLpkeHkq33lTqMLoNNq57GlB0gKdBtQOPfXhFqt5qWXXqKuro7KykoCAgKGNa/rbEQ0vEQGzcqsCqcO0fs7irlmbGi/bWhOlTc2F2Dtfkj8e30el4/uSa4fEWjk8zsmUNbUQZinjqBeOTNGrYLnLk3imrEhGNVyl2T04aLdYufP9dOQ6zL49oiaB0aOxq3Jh4vChmb7JosVU5cdd41iwBppO5rd0SY+yfi9jwCweczL2JuNTPWH2pZOvsosIcZTRm6DDXN7CzdPjMCBkPAd7qVl0bu7ncf/jimRPD5XKGD4ujaEiyY/jccPjyIFWqY8xdLacG7uVd9Q02KmqtlMhI/ORQx2W6+HC8CuokZyq9pIDfMgwlvHkpvGsquggU6bjZRgN6cwrEwq4eFZcUT56MkqayYj0pOLU3ry3uYk+fPJrhKn1tTUWB9GhbhW3/amttVMdnkLrWYLVR53c3P9EfyPLMGqD+JV9W2Mr7YyyQiMmA9VB2DHf4UVr3p/4EZXRyO014JPLDQWg1TulD15rTaFB1Juxj3rHQDqJj3D0vpI7gTMXTauTAtmT3EjlU1mxkd5Ccr17Z14eYXQOf5hlOseR5ovKNdbZz6DJkzwTO0tbuozjPw6IdR7oKypj1TCj0drKanvoNNqd6qbH8fuEFTpU0I8mJ/syxT5Ye7cpKDLBm9P68IjQQjFbS+o66NcX9Zo4mBZM2MjPHlqxSF2dhvF1S2dPPJFFr4GFZNjfVh1gsYXCFp6N0+K4MMcOwmBU2j3SmKtchbzfN7DKlXh6yf8qNo7LazPqSGrrAmjWsn0eB/nb31NdhUGtZx5KUF0WW0EeWhYmlnKYxckcKCsiYc/72le3tBu4YFP9xPmqSN5EC16AI5VtbDyQCW7CxtICXHn4pRAkoL6hlh7Y7XZWb6/r4J/p9XOkarW35zhdRxvb+9zzuA6jmh4/cYoqG0js6iRMC9tv2rmw8GYUA+89WrsDgeeWiXa3h4vU6PgLQgdD8VbIWrmgEVH4/x6kusD3dVONevjhHppf1K3x0Or/MkcjdyaVt7fXkxNi5kFY0NdlLFbTBY+2lnMD0dqmBTtzcIJ4QPSrlLJpeSZjOwqsgJWntgu4YOEwRufIDQOfmLZQYq7levvnR6NYQCGbaiqDWPN90KSu8NBdO06OkYKTZw1Sngn5QiK1lI2xp7HVQ3/pUh5F8kZ5wHwwpocp9EF8M7WQm4YH0awh5YYvYnO3T+CRAoSCZbc9cSnTXcuu/FYLQ99to+GdgsjAoz89cpkp7TD8cT/46jkUqcnrbm9i092lfLFnlIcDkHaI8BNQ6y/EGYO8tBw9/Ro+mNcpBdf3jWePcVNuGkUTIz2/knj/0hlC3d9tJfCunaMahlfjC9B3i48+OTtFczUFaLRdWuE1eUKfSCPc+hr4VrW91VTd8Hc3O0p2w3z/g3rnwWFFua9DAY/7gvOxbD5O+fi3vlfcem4WCAGlVLGJ7tKifMzMCrUna15dYR66py/q6bmBvyaBJFf7Daayo5gjO9EJVf2qyKv7Zbl6O86NqjkGNQKlFYhp7R3iF5YRziGnrlf4vnt/aye+n84ZEpU3/0JpH+Fcbf3MbpAkEyx2Ozk1bY5ja7e7ClpZHKsD+FeWrLKmlzmBXloMKjlyIy+vGS9ma0HuihrqeQb3wuIC3Tn/6RqdMCbmwr5V3fBDwjyKB/flkFKiDutZguv/JDncg3fMimCkvp2svppcWR3QFZZ06AMr7LGDm77YI8zz3BHYQNf7Svnk9vGOYVf+0MmlRDmpe03nGvUiI/o3yLiWf0N0dzRxf2f7CO7ogWFTMLnd4wnNfSn3/qHig6LnRVZwoPr/BF+yGS9PDINBfDV7YL8Q0e90OfPc2C5T3dPj8LPqKLVbOGSUUEuQqeD4R9rj7EmW9D72XC0lpX3TSK2W1/p20NVvPTtUUAoTffWq7gu4+RuK4lEwqgQoR9dbVsn4yNP3mR5IHRabPxpxUEOVQiVX//bVEC8v4FLRwvhFYfDwcZjtWSXNxPgpmF2kp+z+lMqAY1Gy/pR/0aOlZS2rRwXAunqsuCmdBB09A1ilB9hl6mQS3ueRse1zI7z/+y9Z5gc1bX9/avqnHtyzjlLI41yzgkhEDmDMSaDwYAJBhMNBtsYm2CTc45CCBAgJJRzGI2kGU3OOfR0DvV+qFbPjCRA9xrb98+r9Tw8aPp0VVdXVdfZZ++117LqVOiDGmMRGgkjTjaNehinoGNi22uEa+UJe8Dp5d5P9tNjl7tmK1oHeHtbI/edKgdeJo2SrGgjVR2DqBUip5cm0O+UuV2rD7bzzvbG0GdurO5m1f62UOBV323nvR1N7GnsY3x6BGeMSZT1s4IoTLBSmGD90XO6cl9raJJLNYG2YzfO6NHsyv8tRfv+QIa3EktE8Pv3N8hZq3PfhOZdsOdNGGz/8cBLbYKk8bDrFXg+aKk09z7QycenwyV3fpZeLAdpVV9gCcZFepWCkkQLAy4fHl8ABJiWHQkCdHe2Ix5YgU8XybrCBymtexZTzWe0NZ9JSnYJBQlmGrv6KW+Xr3RJvJ7MYMZkfFo4Y5Kt7Aj6AQJcNzsz1DX667nZvLyhjpIkK+0DbkQBJqQHMxLxpRCWjnrtA/Lf5kS5exeZ0J8RZaS6c6iJYm5+DHEWLZqgvp/vqEybMbiIOnNsIp+Vt47oTrx+ViZRJi0F8Ra+29vJEcF8bwC2N/Szu6GPOIuWJ4dp1gHYPX6+3N9GSZKVzTU9x3zm29saWVwci0F9fCqE4ThNEP8TbDzcRc+gh4WFsUjIDh8bqrv4rqrrBwMvQRA4tyxphI4ewKSM8BM2yW7scbC7sQ+lKDA6OSx0Tf+T+P+rwKx0vJXHj+Bk4PUzwoDLx/5ga7bXL8mK5D/Rvl0eHzVddsIN6mMMqeu77czJi0YhihzusOH2BYZ4XpHZkLMI9rwhTzzW5KP266e6axCLTjXSCxBIjTBw87wcfkp4fQEOtQ+R7d2+AH3DBFS7hin0g6xhdiJwef30djYxKSLAXrWJYnULXYMjM277mvqo6hgk3nriOl4Orz8kEnkEw5XWN1e2YD+8lae36Lip0Ml6dwoLJskSANVOI+sTbqZxUEQU4XBMKekuHelAr0tiVX8OVxuiEO2ddGYvY3V3JEdaOhYUxNA96KFtwIVaIbKgMDbUVVrpDqMi7z729ijw+SXcJaXYHBZykeVP6o/SAKsadr4r2wfRqRUsKorFH4BPdrcwLZiZ7Bo8llzfF/yuPn+AN7bU09rvRhQEKtttfLizkStnyPwlt0+edL860EG0ScvSkrihZpCAH8rfh+h8MMVxrvg1+5PS+KYxwN5OP79RnMJlpRfy1B4flxc8SF56MhZNsLyTdwr8co0sG5I2A4rOgKgTuCdFke6ocVgtKSj66kBjoit+BpFB7pu65Cz8SCi++h3owvEveQJt/kJAbigYnxbOltoeqjoGWVgQS1WHDYfbT4dPx9+8F1KWdjb3rlNzfvYNRFl9ZLmiSQEWxA1ycde7rC44C50iwOTud+mOvRaAxl4noiiwtCQeX0BW099R34PLk4pWrWBiWjibqrtZVd5Gcriem+dmh2Q3eo3pBDKXEbHtz/I9mLEMDGmEA2NSwimMlz0Aj6j0J1h15MSaUYgCv5iaFrIUAwjTq0LZ6JxYEzfNzaa8eQAJifRIA0XB0ly63sWppjfpSsjnb91jud2wAp9CR6szl3614hgpCZBLmUDIhHs4Bt0+XJ4AEzMiiDFrQu8FWa5mQsa/5o3o8PiZVxDDx7tb8AUkRAEWFcXh9vp/dNs5+bH848IxvLm1gfpuB6eWxHN6acKIMv334buqTq5+bSe2oPRQrFnDU+eXUvoTeD2eKLRaLd3d3URERPz/KviSJInu7u7/sdXRycDrZ4QEq457TsnnT19UMiMn6rimwP8bODw+/vRlJS9sqCUzysgDywoYnz5Um19QGMvdH+/H6w9w+8LckeT6zkPyf2e/AWsfkSey8HRA1m169ItDvLChDqtOyT8vKmNc2r/3YaFSivxiShp3fig718/OjSZr2Gp0fHo4Ro2SQbcPnUrBxBMMkAwqkbvC10DTNppiZlOw/+90FHwKyDykrbXdXPyCbIQsCvDU+aUsKPxxzRqrTsWFE1J5co28utepFJQmW0Pjid0bmbj9CjLG3EHGoWfpUZ2J21uMRqUk2qzmgZUdNAQFbzOiDPwtV7asyQjXcEngAyS/j7rC60gt/xvnLZwBwVC9ocfFixvrQiUZi07F/IJYBEEgyqjm2hWyPQzAhzolfz1bnkjjLFrOLUvitS0NoWMc3plVkmTlo90t7A0KfebHmRiTIn+fwngzJo0yNIGIAuQFpT6a+5xUtttH6pKNiqfP4cGqV7N6fzvXvbk7NLZiTzMfXD2ZeKsOOirgk+tke6m4EuLL3+f68X/hm0ZZeqC8W+DjBjX7mnu4oRlm5ah56vw4tEcyINFB8ppaf2JBF+C196H98jYUfXX0pi8lrHYFxk+vwnHe2+gjkmD/hyhW3ihnxfqbUXx8pdyIkDGLWIuOuz+uCEksvLezmTPGJBJh1KBXK+gWwrl3h1y+e71SQK/W8tk8OSsY0bUdU8UbLIoqR/Q6UPcdxpc6Hchnf3N/kCA/ksvV0OsgMUzHA58dYGttb/D6O7jp3T2kRhooSbLi3/UGkdv+jM8YjyQqCN/1d7rNcTDzWhLCdFw/O5OvDnTQ3OckP87MvPwYlMGM79UzMsmIMrCzvo8Ys5a5+TEhCZcVe1pQ9lbz9cEAHl+A28aKvLnVzx2LCxhl7COq9Rvi6z/i8dhxGKq24janEjHhfJRRCWREG6k+SkR1bNBVY3JGJJXtI8eKEy0UxJmxGNQ8f3EZH+xsYnNtD5MzIjitNGGEvtj/BmadakTzR0CCT/e2MuEEnmkKUbZ6mpcfgy8gnXC2vNfu5o4P9oV+MwBtA27+tLqSFy4u+4/pjyUmJtLU1ERnZ+ePv/lnBq1WS2Li/8xj82Tg9TOCKApcPDGVU0sS0GsUaJQ/zY9ub2M/z6+X9ZWqOgb55mDniMDr8/K2kDL4CxvqRirXJ46F898FQwQkT5D/H0R1pz2knt7n9LG6ov3fHngBnFOWTEaUkUG3j1FJlhHt7WNSwnn3ygm09LmItWhD3KQfg90b4Bv1bE6zvYmlYxv1Y+/ioDOa+cHxTdXdoQaEgARf7G8bGXgFAhDU3xr+b0EQuGpGOjkxRroHPYxOtjJqWPl4j6oYRdpycnc9gMecwlrDfM4MXve9Tf2hoAvk8723qZ/8eCso1XjGXUttypms6o7lolPGE5k7LfTeTdXdI3gwr21p4PKp6SSF69nX3M/pmfDWISUuT4CLC9Tsax5gZm4MgiBww8w0FmXpOTwgMipSIjNliAR/1pgkDBoFjT1OjFolo5IsRJvlDGqP3cPsvBicXh9ev0SEQR3ypXR7/Wys7mR2UKDX7vaxvqorRBZfWznygd824Ka8uV8OvGKL8C9/DsXbF0D3YXwTrqMlegalya3EmGXu4Ie7hibMbw51sL9lgDHBhUv7gIu9TX0Y1EpKkq0jSlJ2j49d9b0MuHwUJVpICmZt6wYVHI5YToplLLc2jOP3JePxCGrUNj1jI4Dk8XjG/JL1EWcSoXSS1/UF6hhZ4qS1z3mMv+EX5W3cviiXCIOGe07J57N9bVR3DhJt0jA3PyYkEPxwcwm3jb6a8F1PAdAx7jaea8/jDiDSpGFUkpWkMF1oct/X3ItVp6Km0x4Kuo7AH5DY29RHSZKVCjKYkDiJ9ek34ZMEptf+iQOKHCYHy0sZ0SYyvqecZtGpOGtsMmeNPVY7sNCxjXEHbmLKzEewiRbGbr6aPfm30j2QTkTOJJoXPEfSJ2dhaNsKGhNtC/5JSmqh/F1PK+I37+2mvtuJKMCFE1KYH9RnWz4mkcMdg3x3WLagSQnXc92srJCPaWGC5UdJ7/9TdNqOnx1v/57XjwdBEFApTjxjVNUxSGPvsdm9DYe7aehxkBVzghqF/yJUKhVpaf9++ZyfC04GXj8z1HU72FHfQ+pREgv/CmR9KHWoFBR1lOZTyjCCe3aM6Vjl+iPBlmFk9sisU2LWKBkIrtYijCdGuv9XoRCF7y312Vxe1lV2sbayk8mZESRa9SHy9w9Bo4DCwAFZ0V4XhrXhC9IyFwBytsdyFLF5BAfD1Q8b/gY5C+ROuO4qKLs81IRg1KhY+j16PrMi+9C0rwOVHrWtkcXhLaFUf6Th2PT3cD2u8LRiwtNAViQbqUumU4+8htEmNUatHNBNs3SQXv0EV0xfhEfUEl31FjUZtwNZ4Pei3Pk8Kc37qTQvJ738rzjKrkI/+hQAOmxuPtzZwqaabnQqhZw9DT6vw/RqPtrdjFohohAFnF4/fzi9MHjcWs4bn8I72xqxe/yE6VWcNTYpxBWKOY4O0xFiuKu/A9euj7AGX/cfWMmE7NNZdPVkajsHOe3pjSO6/ax6VWjbipZ+rnptZ6h8urQknvuXFWLRqRhwevn9J/v5IBi0hRtUPHdRGaUpYRi1Sm7fHYUoRNLjcHNJXyYg8P44eb+fNul5pnoJ5RvkwGBq+hKuboeJxmPvFYDEcB061VBA/fc1Q/wmX0BibEo4WrWC8zI96NcPkfYNtV+wYKLcMFEQb0IhwIq9Q52Et87PIdqsxen1o1GKoa7QI7AEGxT2eJN4Q7iNz7+UuXHzMm6l0JvIlH+xrBStB/xu8tbfIDeBeJ1EawNoVCJKn52kjrVDb3bbSLHtBn8pKFSUpYXz0TWTqWwbxKRVkRtrCnX8FiZYeOr80Wyq6cHu8TE+NZz4sH8to/VjsHxPM8cJGcv/L2HUqEIOZcOhUymOaWQ5if87OGmS/TNCv9PLjW/t4jfv7uW8Z7ewu6H3xzc6AWTFmHj49CIunpjCbxfmcubYkWnVGLOGpSXxLCmOIzfWxIk+i0VBYOmoeOYXxHLa6AQs2v/+OuDz8jb+sOogG6u7efSLSj7dd2yb9/GgVCqJiUukqux+Xs//B8qUCaTHD2UFFxfFcm5ZEhadirn5MZw1Ztjq3z0IbXvgteXwzvlyJ5332FXs8aBXqxCTx+G87BsC464coRg+PTuKq6ano1GKaFUi183KZFr2j5DCg9CpFBQnyhkBi07FwqI4nG45Y6dSiggBH+Fr7yD221sQvI6QAXinzU2bzUtC9dtcsu8ijB07aOkf4m59Vt7KphpZUsLp9XPHh+XUBeUOSlPDuHhiCh5/AKfXz9TMSGYEj1cQJT4vbw0ZJvc6vOxs6IXgvba4OI6UCD2RRjVapcgvp6ZTEuR4tbQ0ounYy6Hca1kz5u9oXJ0MdMilUJNOxdKSeI4odIiCHFwdCX5W7GkdwVn7ZE8Lm6vlYGlrsGst3KAmLdJAj93LG1vl/cZZdNy2MJceh7yoGHT7+eXUNLKDJbavD7SjUCj57YIcbpqTSUO/h7VBcvX4tHCmZg3dOwpR4IY52ejVSlr6nDzy+UHmF8SwsDCWJcVxrCpvY3ej/Fu39leg7atmb+FvOZB7LYauPYTbZa228mbbCGI9wD/WVdMx4CIlwsCv52aPGCtNtoYWKAfbbUyPsmPUKNCpFMyMcbCvqe+EicVur5+qdhsdR4ngPtGcQ2XJb2XHA6+TttxLuKN+DKJCAe37YduzSGFp9C15DkljlukKPUN8MaUoolUp0CjFY2RWTDo18wpiOW104k8XdPm9UPkFuII2RzVroVe+5pMyIsmMNrCgMJYFhbEsLoojKUzLlOPZjx0HDo+PTdVdfL6/NWR6/mPIiTVxztikY16/akb6v1w6PYl/H/77M91J/GQYcHrZ2yxzZzz+AC39Lkb9RPuemRtDQbwFo0Z5jJTB5toekOQU+ef727h+dtYJiaj2Ojy8tqUhtGKL/Im6Fv8VHF0u+L7ywfFgHn0a+iIfCQHQK+cOlQ6BKJOWB08r4taFuZg0yhD/BZC1nUZfCFVfyn+XnA26oTKIy+NnbWUnPQ43JYlh5McPU/FPKEU47Z/o1HqI+J3MQwrCoFVyblkyxYlWBCQKEyyolSe21qrpsuP0+FlUFMugy8erm+pZNiqe+DA9a/uiOC//dMSGDYAff/7prO6N5zKg0+Hnc1ch2YYYFPZ2epLn8X5HLEd8AvocHpaXJuD0+lGKIt12Nz12L6mRclfZnYvzOW10Am5/gIJ4c6hDc8Dpo21g5LU43DGI0+NHo1QQZ9ZyblkyOxt6sOjUjEoyh/gtuxzRvBVxD980KGnol7i59HnaOhK5B3mx8uHOZhYXxeENSKhEgQ93NnPxpBQijRoajmoUAOgKKuz32N2cOSaRpj4nfQ4Pp5cmYBvmgXrW2CQyow0c7hgkKVzP2JTwUDYyN85ElEnL29ub0KsVnDkmEbVCDmIijBp+MTmNtEgD/Q4vRYkWRgeD4H6nh8VFcby3swmXN4AQDBSPNIg81FjMmeOe53e7jOiVAreVjebL1nQeQxYVPRr9Th/9Ti/RZi2XTEwlI8pARYuNaLOG6dlRIUX3KyL2UbL1N6SWPoAfJVP2/Jb8sX9Aksb+6EJrX1M/f1h1gI3V3Zh1Sm5bkMtZY5NQKUROsdaSueOvoffGVr7GFaNKsLtL0Sp0MO4K3JKKdR1aFpVegiCIKBTyPbGroZfffVQe6uK+Ylo6V07LOCGplf81dr4KK38N46+C9Onw7sWQPAmWPU2cNYbTRyfy+FdVePwBFKJscH/EuuqH0Njr4HcflYc6G3UqBY+dWcLi4h/mgSpEgRvnZpMYruP1LQ1olAoumpjC6ccRlT2J/zs4GXj9jBBn0XLdzEyeW1/L2NQwcmN+GuE9nz/Ac+trefSLQxQnWHjsrJIRPmKLC+O455MKPL4Aty/KPWHl+rRIA2eXJfH2tkb0agUzcv6z3mjHw/i0cPRqBQ6PrGt0ot2HR6BUKr/3RyWKwnF1luithU9vkKUFbK2w6rdw4Qegl0vFz2+o4dEvZHVvs07J678YP9K+6UiwpR75gO8YcHH5K9upDBKQixIsvHRp2QnJchQnWnhnexNVwW0XFcaSHytP/udF1aJ6926kuGJQ6lB++wAXnpENZJAdriLF9yYKdz9N+b8kseJZrps2DZgMQFL4kKE6wKgk64iJSa0UR3DYjiDeomNWbjRfHxgi1y8siguVcd7e3sjDnx8Mja2t7CTOoqM0JZyiRCt3fqTAFeTY/WFbgCfOlT8j2qimKNEyovw2KSOCWJPMO5ueHcnKfUNjSlGgKMj7i7fq+HRvRYi7d6DVxrWzhnTGFKJAWWoEZanH3kM2l49/fjeUualoHeB3i2USf0XLAFe8uiPE8/p4Twtdg25+uzAPlULk8/1tIb0tSYKPd7eEPAozYq1c/m03IB/TFet03BIk3hcmWo4pS03JjCA5eP61agVz82OZm3+sP6xgCAeFmom7bwueCC0KQ+SPivna3V7u/ricXUE9vgGnjzs/LCfBomNGbjQ5ehuid5DdxXczoAxn2p5bSFO0E6kT2VevIKFuLxGt61ga3F9j+tk4B1TE6b3c+WF5yGDb65d4ck01aZEGzhhzbAboJ0NsIejCYcvT8n8AmXNAH8H2uh7++MWh0Fv9AYmnvq2mNCWMOUf52x6Nj3Y18+2hTpl+oVXR3Ofk5nd3kx9vDnmZfh9izFqumZnFJZPSZAmZf1EW4yT+/Th5hX5GaBtw8cqmOsalhlPbbaeyY5D0H9CPOVHUddt5eJU8qe1q7GPtoc4Rgdeq8jYGgzyt59fXcu645BMKvowaFb9bksdZY5MI06tI/z9gCjsmNZx3r5xITaed1Aj99/pT/qQIS4Nz34HILPDYwdEVCrr6HB7+Ocw4esDpY1td74jj8gck+hwejBrliC6mPU194Jf1mERBwOl0UN7cz/ScHy83njU2mRitn2+q7WSGKZiWF48ymC1TZc0iMPdBxK5K8DoIFJ2FKnM2ANW9PtoSLyQq+TTe6krlirlj2OJOZXlwv4eP6kLb3dhHQ6+DiON4RQ5Ha78Tl8fP4qI42gZcJFh1NHY76Hd6sOjU7DqqhNZhc7O1tofSlHCyY0w8d9FYXt1cT4fNzVljk5gfDFQqg3pic/NjONwxSGa0Ea8/wME2mVy/qDgOm8vHG1sbiDJpuGxKWkhks6XPFQq6juC7yk5+E5RAkSSJipYBqjvljFdRgiWU6TzQNsCDkwTu3yYQqRO5LNdHdadcXtrT2HsMuf71zQ1cMS2Dll4nBVYfZZk+HtutZFk6RGl8tPQ5g9ctkUGXj7e3N6IQBc4fn8zyMTI/cHSSlUdOL+Kx1ZV0DLiZnBHBrQtyh+6ZgVYYaJGV+Qda5L+DKv1f25IpmHAtinUPA+AfdyXrHKnk+f0oFAoq2wf4cn87nTY3mdFGFhXGEWHSUN1hp8Pm5tRR8Xh8AZSiQL/Ty67GPmbkRqPMX8qAVsUft0RRNyCxct7fEBInISjVfNaooCDpCk5pXScfn8bECuOZqBo9jBUHsXt8LBuVgMfvRyEIBCTYWtNzQoFXXZedrw60U9MpX/M5+TEkh8sBjs3lZXVFO1tqe7DolMzKiWZCRrBcmDQO5twDK26Q/04YA6PPB6WafcFqw9HY19T3g4GXzx/gi/JWzhyTSPuAi16Hl9LkMNoHXFS0DPxo4HUERwtMn8T/XZy8Uj8jGDQKZudF4/AEGJVkJeqozIbN6WVNZQeSBDNzok/Y1sekURFt0oTkA6JMI7M2qcMeDLmxxyHX/wCMGhVjUn56kdeN1V18uqeFCKOGs8YmkXQC6f4jKIi3nHA340+GpKB5uc4aspUB0KhE4szaUHcfgGkYF67D5uLPX1byyZ4WCuPN3LO0IHTsyVoXLyV8wo6sKagEPwX2rbg0J2a+rm7bydyKR5k79z4o/wAawiH6F6BQwmAXYuMm2PcOICBmz4fcRaCKx6RVcukmgZY+FWplK6/4zJxSogkFXrqjAnK1QjxGrPV4MGpUVHXY6LF7CTOo2dnQS2mSFW2wg9NyHIXvI9lFu8fHVwc62F7Xi16j4M2tDYxLCycjyohVr2JXYx8eX4CUCD3rq7pQKQWsBvm30dTj5PUtDWhVCpp6nXy+r40JqRGY9aqQIvxwDLeu+nh3Cze9s5sjvP27Fudx+VRZSuW3KVVkrf81yWUPE+ZpJf/gPyif8U+gCLPuOOT6MB1alUh+BPzR9DbW5h1kTLufssYX0PZ30x4tZ1/6HF6+OtDO1KxIAhKsrmhneWkisRYdDd123t3eRHqkgTHJYZS39LPxcLdss+PogVW3Qt16OPNF2PIMNG6HC96D+FFcb16H4utHQakFQUSx8a9cOdOMqBhFTecgv3lnb4jmAHCo3cZ9SwswaZVMSA8fIbOQGKYLZegMB9/BsPoW/lR0Fa70WMJW3YNj7NUQex/Tw7op2RIUbFUbwW3j7K6/U5V2P2ZdNKOTrHy0e2i/Zq2S64ZlHL8Prf1Orn59BxWtQ/pyn+xp4dmLyogyafjnuhr+9s1Q88IL6+t48ZIypmZHyfyuVbfKAwo1NO+Abx+GmXd+r+bW8a7ncChEgWnZ0Tyztjp0r+xr7qc02YpFf3KK/jni5FX9GUEURKra7ext7kejFLl08sj23je3NfDQZ3Lm6o5FuVwxLeOE9htj0fLPC8eytrKDxDA9c/NGliIum5xKhEGNxyexpDj2hL0E/12o6Rzkly9vDxGxe+weHjyt6Ee2+r8JnUrJ/csKufnd3TT3uTi3LIk5+UOr50/3tvDWNlntfWtdL49+cYgXLylDEATSwxT43E2cUnsjSBKO5Jmow06w0yngg4bN8NxscNtgzu9B8gNK8Npls+hlz8gT4vrH5Uwd8iSzuCiO17c04PD4ibdoyY0dyrqadUrSIg3UdtlRiAKnlybQaXN/rxTBEYQb1dx9SgG/fns3TrcPrVLBDXOyQtmawngza81a2oLk7VOK44gMdsnuqOvlpY11AHTbobHHyeflbVwzMxOrTs0lk1L457oaDrbZ0KlELp2UhjU4WX68p4WaYVYuTb3NLCiMZV5BLHq1rKm2M5ht06sV5MXJZb2OARe/X7Gf4eLpj3x+kBk5UWRGm3Dp4vCaU5i689cADCbNwK2RsyoT0sOZnBFBfY+DaJOGipYBrp+dhV6tRB8eSU/6VDR1H7Fw68UA9JX8kozUVAA+3NVMS7+Llv4hEvuq8jZy48x8daCDbUf5MT69tpo5+dFkRoVBzkI4uAJeOVUeLD5b1j4DvLooRF04Qt4pIAWQDq7EZ4hBjdwosPeobM+bWxtZWBCLUascUaqVz6EzJLGwxZvOZFMKcfvkwDGgMbNFVcZ4v0BalAVJoaEh7Ww+M53BmZ1/Q1BqyIm30ovAZ/vayIszkRphICBJrK/qCi0OfwibqrtHBF0Auxv72VzTTX6ciWfWVo8Y8wUk3tneKAdeXof825j/ECSWwZvnyM0xAZ9cojZrRnARzTrlj5LrBUHgQOsARwnts7OhD/9xRGJP4v99nAy8fkYYcHrZ1yI/AN2+AC19zhGWE1XDBAUr2waP3vwHMSrZyqhhwp3DEW/Vc8aYRHx+iTir7rjv+U+ix+4JBV0A5UG7nRNFbecg9T0OEsOG7Fb+3Wjtc7KltgeVQmBKVtSI1vSytHBWXDsFh8dPhFEzgiDfZRup9n64YxCPP4BGqUAVloRqwuXw9hoA9BMuA8uPi7YCEFuCO/8MNDufA60VV8ZCtEHVdcJS2Dfhz6w87MEbkFg69WlKImUF+X6nF33/Yf4xXeDDzkQuij7Ml71qQB6v77azuCgWf0BCrRQpb+6nuW+og3PNwXbWHOrE5w8wIT1ihIxGokXLJZNSaet3kRSulzW6gujrbufDqU2s8oymQNeDxnGIff1yubbTNrKTDqAtGJj0OT0s1e3lyoW9vOicwaW6b2kJDNLnjCfCqKGh+1hy/ZGGi06bG7cvwJLiOAKSRECCL/e3cd2sLPqc3pDq/hF4/RLddg+ZwIEBJXmZs6E9CgxRqM3JNDq1lCGT688bn8wrm+qp73Zw3vhkRh/5HYsi4cULkHY/jdBdBaIC67jzQSsHfFUdx/6uj5Qhe+zHOgP0O73B8qAJpyYSbXgWQrfMJ/QljEOplMn1D9ZkcO+02xC++K0ceM3/A/fVZHDfaOm4+/UHJNoH3Ti8/mP8H4cfy1fdEeTmnEP89kfk40lbzBpbIoVuH7EZRdTNe5K1TX72tvpJKribouRwkmOSqavvZWFRLAdbbawqb0OtEJlXEHNc38hjPvs4DglHjqnP6T2uIv7BdptsiVNwGpgTIG6ULPdywQdgSQJ9OCl6eO6SMt7f3sS6qk4mBG2tcmJ/eFHh9QeO69MIjBBGPYmfD04GXj8jxFm0XDszk3+uq2FsShi5R4nnnToqgS8qZI/CZaOPrwv1v8H6qi6ufmMHbm+Ax88excKiE5zc/03IiDYyO08mYgsCXDD+WOHG78O+pn4ue3kbnTY3Vp2SFy8d92/3u+y0ubnxnd1sqZHVyM8ck8i9pxagH0aStejVWI5TLU2NNIwgTM/Ljx0Szu0+DB9dBdkL5VX6R7+Cy785Ia/M/n2fYtn5HE25vyC+9n2kr+9DOutZBLWBHXXdXPtBPa3B4OWDXSoeP8fC9Oxo4gwSv+J9tFu/JS73CjK/e5S06Q8CUwHIiDLxh1VDJPjRSRaKEuSgYU9jH795dy/dwUn53R1NKEWBRcXxeDx+nl1fy8p9baFt7R4f9y6Vdb7ODjtE9FfXMzfjPKI7N6Jx9xBz1meArOl0tEbV2GB5O1FtR131AkLDZq4YfQnK9S+RnjwBb9FUwMTUrGPJ9UeENwsTLVS220I+mgB3LpIJ8inheqZkRrD+cPfQtYrQkx0M5E/T7kS54WkC8WMRWnejPvAxi5YUAIVsr+vhpnf2hI73hQ11+PwS9y0rBGcffPYbOehKmw516+Ddi+QAIDKLOfnRbKwe+kwg5GCRFWM6hlw/KslKbowJT1cdmk2PI3RXIsUUIXSUo/z2AZzGBHQFC/ld1HrEVb9H0keAqED8/DbumXY7ojjhuIuTKJOGvFgTBrWStAg9tUcFsEe0/64J30782kcIqM14VUbCDr7JNaOjiNSNks9ZdhGp2XDxUfsPNyipaBkIBZoef4BP97Zy/eysY47laOTGmY/7el6cifRIA0nhOhqHCQ8DLCmKG7LCCXpUAhA/asT7CuMtFC61EAhIJ5z5VylEFhfH8eSa6qNeF8j5DwmgnsR/FicDr58R2gZcvLa5nkkZkdR126nssJE+7KE4JSuSb26ajoQsb/BT4aWNdQw45ZXZQ6sOMCs3+j9mVXE8hOnV/HF5MXsb+zBolYz9H3iWrT/cRdegmwiDml6Hh3WVnT9p4OXzB0ZKSSB3tB0JukAOOC6bkhYqWx3ZzuUNYDyKD9XS6+A3s1PY1+YmK1xJebsNt9cvn/+ITDj7VdkvU5Kgu/qYoKvT5qTT5iE72hQizwN8OpBFwaQn+cCWx/TS6dT1+5k/KJAYDptrekJBF8iaWltre5ieHY2o1hOY+huE5o1k7vkjvvTZqEtOC733cIeNxZlaVh52kWpR4HcNUtvlIDvWwuaabnwBiYWFsYiCwO7GPrbV97KoOJ5dTb1UNHYyLUFgXbPEknQF6w91UNdlIzXSxBppLIsKLySp/FUA6he+QpUrijggJ9bMpxen8U0jtNh8nJUtkpEhl8tbPEbchTeR03Mtyp0vIJliqSy8GbXHSBqyPtig28erm+uJNmlkfbBg9qkg3sI/LhjDU99W09Dj4MIJKSwvlRc0GpWCx+ZH4B3n4s2WGJbG9hBuMhBmkLOG2xRjGF94Bory9+TrO/EGNgbymYVsDn5lvoeNHWq2twe4a2yAT+raaOnLIN5qRSo5F7c5jS1Jv2BU5lpMvh5Ei7y4OLUkAa9PYl9zP6IgB1YLCuXv6vT4+M28bGo67Tg8fhKssnBqt8NDm9eKJXUpcSoNghSA0RficQ6ywZXCHKDbkElsbDEtpTfjkwSSdz1GjzmXGGSfzHuX5tPY68Tm8hFt0mDUiPQ7fPj8EmeOTeKtbY009Mh6b2eNTQpx/aqkROKm3sJmoZhOr4Ylym00SjkoXBKRRtkqalN1Fzanl0iThsmZkYQbNBxsHzxudq+6w3bMa0ejLC2M2xbk8NiXlfgDEkpR4PaFuZQmh6FUiPzhtCKufXNXKGM5OTOS0/6HC9XjBl0dB6Fll+z36RqAA59A3hIwRHF6aSLrq7rYE7TSUogCDy4r/GmU5+3dQ+LVbhsISlD/9ysT/3/GycDrZwSDRkGYXs2aQx2IwrFK8DaXl83BCX56TtQxZND3dzRR02VnYkY4UzKPknZo2ALRufLDIyp3hM5UUvjQjzgjyjjCZ8zn6KenciPfudKZpa8hrGCuTNAOwr3jDbZ5UyhRNCKFp2LOmDD0mS17ZE6FMQr6GiBjVmjI27wbRfM2DhgnkGfbSCB1BsqYIR+9DdVdfHOgA4tehVapCHWiAeyo6+HdHU30OTyyeGvpkOZNhFHN6aMTaOp1Em/VHaPS/+72Rt7b0YRFp+K88cnMGNYh6N31Ft7Bbg4ochjl2Igw5lLEMLnDqs/h4fn1tazc28rEjAiumpERMgU3HtWNpFGKI4jb+5r6eODTCmqCZadfTk0L6VudEVFDXO1HbEw9h7K+VTizc1Ephq3I02cM/dsycvL4bF8rf15dSU3nIPMLYrluVib5QWK+T2PlTzVZrD/cxjdWE3PyYkJdU8eTxDAfuZd8XjQ1qxEcnSAIKFq246nbAGFnAnBRQit5PX9kyqRbmBrYiM7TS7uhAIAoo5rp2VGs3NeKPyAxJTOS+KAhe6RW4pnMLZgHKlk96SJOaXmctvzFWDTy/ZKl6UbT+F3oeLSN64kplTvy3O1VJH19DROj5tGoTidv5V04ljwNubMwapTEuSsRBmWZCmGwgxT3IWyaKQA09zp5e1sDJq2SDpub1RXtTEiPCDWmzMqLYUpWJB6fNDIotrUTvfURhPb9nFt2F4m7ngSlDiwPQ2QWbp8fX9MejlzlgcZ9KCJPB2CysY3CPXezPHIiB7LmMHfvzczMvQyVNB6AD12lPF2hpeq7g1h08VwyfhxXo0QDbDjcxdNrq0NBw+aaHuKtetnk3KDmg13NQb9GGdfNykSvVuIVRVyaSARHD7TuBq2F/uJfYdDL9+jLnZlEJ/+B+z6QA4PfTfsDLW1h3CVJRBrUPPltTShoAOTfRpYSlUrBX76q5NSSeE4piUNA4O1tDaRGyiT4TH8N4oZHSSy4BqsmGsWmR0ku+hU68RQ6Bly8vKGWfS0D1HQOkhdn5nDHIFdOz8CqU6MQhRGOA0CIm/dD0CgVXDk9gxk5UTT3uUgKkw29j2BKVhSfXT+V/S396NVKSpIsod/b/xq2NvjwV/K5tXdB50HY/Rp0HID5D5IRZeTFS8vYUd/HgNNDXpyFvLifIOjqOAgfXwuz75I7MNc8BBoTTP71yeDrv4iTgdfPCGF62ZV+c003aZGGY/SDPtndElIN73d6OX9CSmjso93N3PLeHgISfLhTy0uXjgupbOPsh3V/lCeO2rVw3tuQMim0bYJVx9KSeAKSRFqEYYSgYnvNXhI+u5y5MeNQ99fSZk4lNlUux7TUVBC783kmB/wIXQdxznkYhgdeTVthzYMyhyI6TyazaoLH1FWF+NU95EdkQV89gUWxEAy8dtT3cPv7+4ZUzu0enji3NLTbJ789zDcHZaHCtZVdxFu1Ie/JHrtnRAdWeuRQfW9DVSd3fVQeKgE19jgoSbQQZtDg93mR2vaj3/p3Ss0JoFDTmzCD8GDgtXJva6hTqqbLTqRRza/nysc7OsnKA8sK+dOXh+SV7mlFpETInaJur5/ff7Kfg22DxFg0/PWrKtIjDSHjabM0iFi5kik1XyHYuxCm3QEBP4g//NPusbt54uvKkLzDqvI20iINocCrx+7muypZob2p18maQx0hZfO5+TEcbu/npS2NBAJwzth45hXIhP+27j7C+pshaQIkliEcWknAPpTNy1D3oeyt5tyuy8DrJJC7FIVazp4JotxddgTrD3cxKUO+hyPNeuyWCOKa9nFR8wUQlsaA0YJeK0+0FncbalcP34x9mvT+LUS1b6XL0Q0kUt3nJ1JhoXjfQxSLSrzaCBoHBZTtNnSebsIbNyGFZ9A14Q4iNz+EsnETYsZSMCexYm8r9d1D3olt/S4WFcZiNahJsOqINmtp7HFgc/vIjjGFysNNA17ideEIHRUkrTwPAKnoTJr7PCREQpmuGU3/YZqnPozO3kj43ucYY5DPk0sTgSfnFJIPfUByzZuQdypSdDFqtYbWfif3fLw/xP3pd/r567f1TMqOY3x6BGsOdXDXRC3fdUchCjDeOsD6qk4WFMbS0OsYEXQBvLq5nlNHxaN29xFZ/gJ0HWLz2MfJr3+VqF1/pztmEiDz6ta1DGU53z/oIjnKhSAIHGq3jwi6AN7e1sjM7CjmFsRy7cxMDncMUtNpRynK5bNp2fLvrcNUQJQxieT9T8obqo10xE4jQRLYUtvFG1sbQ1I17QOdHO4YZEJaOHEWLXPzYqjpkuUgfH6JbXU9I+zLajsH2VTTjdMboDTZOiJzLbTsIk8XRl5emlySb6kZUTaMt+pGcAj/J6jtstPY4yDOoh3KWJliYcpN8P5lsPou+TVDNBSfJVslAeEG2XfzJ8XBT6F5G7x5LuSeAvveBqUGMucOdVKfxH8cJwOvnxl0ahGzTnXc1uadDX18GhSK1CjFEYFXQ5cj1FXT0u+i3eYaCrx0FqTRFyC8ewlS9iKEmIIR+91Y3YU/AEqFwIq9LVwzKwOtSr61DnljCctcjLnibfon/pbDnjCO9ETutluYnHsmlq9vQ4rMYa+Qx/hh+7XFT8EkSdC2l/5p92DRDK0ADyqyKZx2K8L2F5Cm3coeIZcjj5GOARePldl4u97IjGg7XtWQgbLT7eOS1D5+nSWx3RbBvLBWdg8j2xr8A7wxrZf7D8ZxV24btQzxd9ptbhYXx+EKqq4PuLz0OjyEGTS4/AItMbPJ0r6K0N+Ie9rt7JCymBvcNkfRQsXiev7YXMTNiQepFZWAHHiJokBGlJHZudFoVQrihvk4Ojx+xqSEkRJhoG3AxaLCOFyeIa6SQxmBKWcRwt63kcJSEWIKGPRKmJWA10Xv+mdZ58pEJUpM0NQRPuUXoNTQM+gJ6UYdwXAyeNtR1i4NPQ6aex1YdBYi1R5u1nzEooVlOAMqxtg/QKOTu/NaXAqawmZTaopC3Pwk3rkP8ElPJucF99OiyyJj8q8Rtv0Tchbjz5xHrT+S0TDC0PsIWvvl11r6PSSYzEijL0TorUMKS0Wj0dDn8BJjUdLgDydx/HWUd1mJiirFFBlHvUNNAbDfZiA6/gyim7+GgI+u7LN5/rCR995bh16t4K/zryc+rZd7d5q5a8wD7BvQk+3SEwFY/N18OvEQ99XmUBbpYXlsJ1d9qWVfq4NIo5orp2fw6BcHcfskRidbuX9ZAYXxVuoGRKISJqC2fIbQ3wgaE/7MBVTY1CQAHkMcgck3scMZS7LWiGXCNfg0cmDgsA+gbd4CKRNBbUSqWYtkmUCf04PD6z8u4boj2EBwRXwteRt+jTnvIbS4mbL7fgqn/h0ootfuPWa7PodMrnd61XytupqJhQ5u3GjkvKwbGZPg4lBnLLlAqaGTe6Je54Xo0/EE4ErhHT42nYMkSfQ5v4dcH2xCSA7X8/GOOmp6vYgCnFYSjSX4fHrqgIbb0s8ha++j8n2XvIQHd+v5fYaLg222UNB1BE29Tg61D6JVKRmTYqWl38Fn+9rQKEXOKUvGGwyQ9zb2cdnL20L+sqIAfz+vlEVFcdC8Uw5EwtNh3gPw2a3g6ICzX4e4Yv638PkDvLWtkfs/rcDtC6BSCNw0N5tLJ6fJuoZpUyFlsrx4BRhzCcSV/K8/74RQdjmB/kbEHS/JQZdCBWe+cjLo+i/jZOD1M0KP3c3vPqpgXVUnkUY1T5wzmknDWpm1qqESYIiAHcSUrAhW7DVS1THI8tIEiofpWPkdffh2vs2+sY+R174CqXEvxqypofHFRfHc96msXH/bgpxQ0AUwRVOJun077pn3YN7zKmW5cyEYepVZBjBveB3HpFvR1nzJaKkchoVerorPsEdNos+QTsLWf9ATO5rwcDkDUuA/hLDmAaTCMxC+/j1jTovnSCAzPtKLcc1jjDWkEFa7E9uYa4D5AOg0SiY51qAof4fcqAKUhxrQLX0RiAdghqWNpPXX83raUsK3fUzKoldCx5MYpuObgx2hAGViRjjRQa6cThEgo+tbpORJeE0JaPqqGR9/CJAbDYqVDajX3MXdyZMRv1pH/tyHQsdU2W7jFy9vwxHM0K073MV7v5pItFmLRimwr7mfTcES8cbqbu45ZUiLK8ZTKwddoy9EqPgIVe0a1Nnyfg9VHSB5zyss8DkQAj682giqYqeRlVtIlEnN/ILYUCAOkBA2FPClR4wkTM/OjSE8WGJsa67Hcmglo50vEFBoCAgqWtNPJTE3nDxLAE3Dy4iNm/GOvgjVyhs5e9ptHFGuTx3YgfDdo5B/GtSvR9leTvLiQiCM1AgDerWC7GgDZq2K76q7Q/prsQobpsoPEBo2IRWfjfDtQ8SUnIejYCEAaRobmq8e5RpdOIoDHQxEjyV3jqx3PkHfSsKe2/DqYxi0ZBO3+wnOHZ/Be0Th8Pj55YpOlpbEs7W2haW1MCdPx+Jp8vc/03KIsNX38GjyKYS3H0RTVcNlo1/k161KugY9PLO2mjEp4Wys7mZXQx+vbarn+tka8kw21N+8IgddKZOgfiOKjX+hbN7j8jns6iN885MsFUTwu/HoYqgzTWdUGoyxDKL02mDfe6A2IngGSVF0o7KoqO2VyIs1caBtiMukVYmog79nfwDwu5m39waQAgRUJvySnIIuSrQwO0XBvm6BjkEf81MV2EUz+bFmuh1utvSaeL1SACReOaTgFQw8eoaceZ2vqyRsx0dcZa0gICgx9lawaGIxgrCQ3JhjyepRRg2jky209buwtKzjhZRd3KyZw0WpvZS5vqSi5mqqjOHcmlBOlqMFdOF4BA2xBnjQsJ5w/XiUonjMfkHWtoswqnl3RxOVwU5tty/Ay5vquDFIrn93RyPJ4QYmpEcQkCS8fomHVlYwIT2ccGM0xBRA9dfwXJC+kLMIDP+ac8aO+l7u+qg89LfXL/HI54fIiTExK0UFX/5ODro0ZplCse6PslBy2S9H0C9+SnTbffhdCkKECEGk2S7x07VWncT/BidNsn9GaO51UN05yMLCWJLC9CE7jSNYUCCb6i4uimVh4UgtrtKUcB45vYinzh/N9TMzsRiGuBJ1gwquGryM8zcncr3nOt7vHOkD9vn+NvqdXpxeP89vqMU9TM1bnTMf/9Tb0Kx/DN+8P6BJGRsa22sPZ1/ZH3lDcxYHJ/6RlwcmjNjvCk8pK63n8/jADNbGXEy9beh2XSVNwF9yPsKeN/GXXckq75jQWHhcCv4pNxPV+AUKEdR5c0JjXl+AtrgZCKlTUdlb8Ey9jWppqOvx28EkvHMfIrx5Dd4597PelRoa8/klylLDWVQUy9KSeDzeQEi5vNfpx+fzEPD76DPnIdVuoME5FMgos+chFZ+DWLcOKaEMKRgcgdzuPys3mkVF8vVJjzDQGfTV67Z7mBnWyaPjHRRGKXl7eg8+11CmyhM/AWneQwiVq5BGX0ggax6o5GzCui4T7rKr0MTmok4chXvsr1jfJQcyNZ12mnudLC2JZ1FRLMtLE0ISCwD9LtlT8ch3HXR58QXb4XYORtAx4S4Url5U9ja6Jt/NlkH5fqpzqmjJuwRJoUK1+e/4U6bwVaCMX7+1m+31Pbj0sVB6CXQdgozZUHoRtYPydZ2UEckt83PQqJR02T3cPDebqRlyY0S/MgL72KuRNCaEnS8jRWTRlXkGHlHm4K32FNEz+moUg20gBegYdzs1Xnnbck80bWNv5ptRf+HFyN/QUXYrrzaOnGS9w5Tivz7YEcoGGlJKCeSdSlzDCjR9Vbgm38LHjUPlrCVJHrIjlAgC3DxGyYFWG5e+uJXHvuuE+NFQdCbknSrbQaVMosUjb/tYdSK1BdcEdaH87C24lfda5OO1pJfhHXNZ8AIPEsiYS3/iTFBpaOx1khVjCslLpEToWV6aSGOPfLyPVMVTXXC9bOYc8HOw8GaerZfLV7PiAzxtfJ53R5fziyI1T6if5Km8ciw6JXaPn2Wj48mJlQNOi07F9bMyOaKs0GHIRMo7FX1fJcbeCqScRXSa8ggEJGbnRXHNzEwMQV5ivEXLjXMyKYi34urvYELDP0k9+E9eiH6bUytuJv7Qy4gtO7nohW2EW0xw6DPaJvyOmgn3I1WtJjYyEqvZQFJQNHY44iwaoowaDrYNhIKu4TjULgekbl+AfqeHT/e28tm+NjZVdzM1O0qWArEkYp96x9BGogL75N+C+cS6sbfUdPPwqgPc/sFePtjZFPLn3NvUd9z3723qB4VGLjcaYuCij2D5C7IAqyHqXw66+hweXt9cz5nPbOTC57fwwc4mnB45U6jY+TzR+58HpYa+pLngc5Ow6jJ6Kjf9S595Ev8aTma8fkZIsOqYkB7B+zubyIoxjhCuBPhkbwtfHWgHZD+vqdlDk8/Gw13c/O4eWvtdzM6L5uHTC4kK+tXpNUr2dMkPs6/rPSydOJLAmjCsNJYaYRhBrncd+BzN6jtxTbge7afXM6h+DWO6TP5Osmq541uJ7fWVKESBOxeNnAyXqXcgNK1hliGNmLZmbGUTQ2PF0kEUe9+kofhGkrc+ReGpswGZT9VdV074ugfw5pyCsm0PmooPIEEWUFUpRRJav4b2fUjRBai/vZ+807MBOZN2hrkC1Yo78Y29AtU397Js4V8AeVu/JHGwbSDUaj4vP4YjjYARBg1ucyKKPa8SffgLyFtKmG5YVvHQpwi7X0cqOB3hwMcoDq2AKLk8Z9Yq2VLbE9KHyos1YdLI20bpFJwlfIP54IdMSVpA3NZ3iD3lbUCWUVC3bkFYfSdS5lyErf9EDHghfRaoVJwZ24Hlw/uQTAkQ8BHW8gDLTn0NSCcpQodZpxrBqbpxWCu+QaPi/Z1DXoLRJk2Iv5SjbCV+3a24jYn4FTpi195KyaI3gESiDGoaWhpJdAQlDVr30m/p5aM9LtZWdbBu3gBsflLm6+15Aykyh7DZcmB8oLWfP3x2MMSnqmi1EaFXk5cQhlXpQd26HSG4X6G/AVNvBZo8OfM6X7mD8B1P4ArLRTtQQ/yGO/DNeQaIRaXWsWBjHjq1AqNGoC1lCR/VNIW+mygSambQKEW0KnGoWaC7ErF1d+i9muYtnJNRyLcNIlfk+bhx4BG6TLMpmzyKheW/Yd7Yu1n+XTynpirkyTa2BGn36whZC0GpI0qUg4U706tJW/s4Pl0kSu8gpXt+j27ms0AxrY2Hidr7HogK/LooFJ0VuGs3EMgaT0a0kZ0NvYiCwMLCWJr7nLy5tYEXL5FLR3dn1pCx7k8EVCZEyUv+nge5dsYzwBjcLfswdZaTUv0ld1mSEfobUOgsOPsWk2CN5MOdzczKMDIvPxafP8C6/Q3cvGQUAPFiLwJDRHYBkXihB1EUWH2gg2fX1TAlKxKNUqRr0M0fv6ikNCUMvT6c9fn3Ms11A5bK9wHYUfx7rtsWhlKUqO92EOkeIHbdbUQrtQjuAXw+D/h9IMAZYxJRiSI9dg9RJg1ddhdqpYhaKX4PuV6+bqIgjCilD7p9bK3p4YZZWQw0HUCx8mZ5QKECvxdp5W+wLXsKU9wPy1F8V9XJZS9tC2l9vbm1kV9NT+e3C3IxfA8B36hVgsYgc7wKl0NMvkx0j8iQvR//BUiSxNPfVvOPdUO/1e+quuhzeLlwQgqfuQpZHpbDd6nX8VJjNA+lh+NVGDhki2TRv/TJJ/Gv4GTG62cEu8fP+zvlCaWqfZAB10h+hEIQcHllWQLlUe3O2+p6QxIBXx/o4OAwgdU4i46nLxjDldPSefC0QuYe5TuWFK5naUk8S4rjGJ1kGUGuf6cnE0faPLTf/YHuUVezsnso0+b2S2wPKmn7AxItfSN5RZvUkwjrKyet+lUOZV5Oq3Podv2sN5Hd01/g1P2T2TfrJb7pj2NPYx+bqrtZ221mcMZ9qBwdSEVnsM80VBZ1un04UmaBJRmhYSPS7HvZYRuSm1jtLCSw7GmU2/9JYMlfWRcYejDWd9lH6Pusq+qkrV8Olga9ATr9ejmDISrxuB20+oaslDb68gksfBTB3kVg3kNUaoe4HQMuHzkxplDGS6NSMOiWM2mdTj9NKcsQchYQ1/oV7kVP8KUtNbRtjTIbaeZdCAMtSBOvwZM0jW63HLhYM8bhnX0vQkc5QtdBPDPvJSxDnqAjjTruKBN47xQVl0xMZN1yiaU5Q8e7oCCG0mBWxaBWcN+yAsKDWdAN3Qaqs3/By0n383TU76jJu4rvuuVyk070UxyrITD/YSqWfoo48zbmJkqoRJEBp49mvxWp6Cxo2gZ+L668M+hwyJPYnsb+YzwKDwQzGG39bny9TfjiStk583UCpgS8ts7QPeNWWZAKlvNN3n0MzHkETeY0NrUpeWdbI26Pl0smpSIIAp02F9EmDWeNTUSlEIgza1m5TM35us0khWl4rayO1+cRMhLvGvSCrQXGXgbZC6BtHy5/sKynNoIlieS9T7B4x+WIATc9ghWHx8eKagHJFAeDHQjGKPlJq1LRrpJL2nZNNN6oIl5J/xNfFf8ZT2QufYJ8DtudChTROfTOfISPC/9GIGUKojmBHqefhDA9N87Owun1s6q8jcMdg9w8L5upWTKlwGCNxm+K58OCv7Cq6M/4jLEYrfLYDmcC7jFXAnLgSnQ+tfGLafKYCDdoeHd6J5c4XqC8uoGpnu94MXkV4+PkYFsnuWGwHabdCtNuAUcnOkHmTx3uGCTJIrKpuptV5W109Q3g8wfY09hPbZcDT387WtcQzzLMUUuaSV7IXbQ5nsqS34Lfg+geoC33Im6pn4DDLxvWiwi8s72Rj/e08NHuZhKsekYnhRFr1jAnb6TnqFohkhZpQJIkdh6l0A9Q3WWnz+WluasPhWeQjoTZvFryGj1xUxE8Npo6j93maLy9rfEYgdXnvqulss3GpIzwY7qgTVolk4/QPTQGOeg6gn8x6AJZMPe59bXHvP7415X0ODy812Tl92EPcvXWSNY3+bi5exk3tM7DLv10ckIn8T/HCWW8BEFQSJLk//F3nsR/E2EGNTNyokIu92nDOvJAFo10+wMgSZQd5Y+YHWsMiUxmRhtGeM55fAE2VffwzLoa8mJNlKXKxsNHsL66izXBLsEEq46rZ2aGeF5Tza0YvvuQzuxzCdv5FGNPnR3aTqdSkGjV0hScPMMMIzNpE31bcCuNOGLyyKp9lcHcIZmE+dZm4r+9nX+OuZn8TY+gmvk0i56qIiDBO6eHY9z4AL7U6SjqvqMwVQRkLodOo8RfvxbJY8OfvQTFtw+Qt+Sl0H4X6/YgfnYbgVl3I355B7Pn3AeMAiDOqsWoUYYIv7mxZiKDukx6hYTG2wR5p+CLyEHVtIUkoQOQH7RJYgfiqjtxRBah//w2wuY9zfqqLvocHiw6FUti+3i+AuJ0AZanqTAEs0vh6gDxjW8hNGwkkL0YzWfXcc6pLwFyh2GMrwlh3R+RLEkIG/6KOOnXRBQskb9MfyOq7c8j6SMh4Ee960XImArWJPB5SKh4Fm3dN4RlXkDyyr/QseBZSD4LgIxoEy9fNo7DnYNEmTQh6QsAtUbHGTsKQ12jL6hLuGmePO512tAfWolQv5684vMQtj+LZdptmHRlDDi9aFUigimGQFQ+YnQOos9BpFmeBI6WPwGICN4TFouFO+1nE66z8/wqiZtKH6CuL4yHghy7VF8NQvN25rttiPvLQWVg/owlTHqtnt8uyKGp18nEtHDc/gBdgx7yYk38+paZeB39RH5xNfqGb1hZeAnm3S/hSJ5FX8ZoMETTjZn4sl/C3rfBEImv5HzSYmP4+uZsypsH2N62nGk1n4MUoC9rOb/fqScg+Vieq0LY+4Zsu5S7RObzhKUTt2g8kMTBQT1JxRcTTQo60cGA9SwaPEYmAyZpAGXF+4RJ7zErbgpiw5eoJSPGsjOxOT28saWBzCgjY1PC8PoDPL++jsmZkYxKCuO1tgR06U/RLYUBEgdTnkDRFsv1hRBlEBH3rZZPrCBCRwW61GYMBiU4egg/9DY0b+fZmGaUezcg6WMQ+s8H4xiU3n5o3AJ9jSAqoL8RRcZcfL4AeeEC5yatpkWfx1/qknkkZjXdugwc5tGECQNMaHwCvHYqim8no+kj0g+/zM3jJnBRp4W7Rw2SceCp0PWOrXqLc0rKsLtH0drn4pXN9aGxrkEPz31Xy/LSRPodPpKsOs4bl0xttx2TRkl+nJluuxtBEMiONVF5lM5XhEGNRavi04FoVkXfTfWgkpUb/ezOuIrIMC/xg9HkHXMHDsEfkE3Pj/d6t8PDpIxInr9oLG9vb2RdVSfjUiM4b1zSCD2+nxq9Ds8xWT+AAaePfqeXc8clc8t7e0Ovb2uXsOgUjEs7cW3Dk/jpcaKlxipBEN4HXpQkqeLfeUAn8cPoc8iE3i01PVw7K5PZw7JPRo2K5aUJRJs0ZEYZibOMbIfeWtfDhqBEgEIQWT42KTS2sDAOzQUC7f0e8mKNpEcOkavru+089e1hShIttA+4WV/VNSLwOntsEt9VduGXJK6emTGCXP91TzRjZrzIx50xLJu0jN0dBjKCclt1PQ4KE60UJYJWpaDXPtJnbYuiFM3ox1jfqmRZJkguZagj8kAgmZjECZRtvQHn6Mv5yx5FqCvzys9tbJnzC1Rf/hbJEEXfhDs5UsS0Ob00WaeQt/cNlE3b6J/xEBv7I1kWHN/mS2d8ymTEr+5GypjN3kA6o4NjOrWS38zLonPQg06lwO31Iyjk9F6/y4fBGItXpadXGUVUmga7NHT+tw1YcY2+i7+0FnFN2SG6/Qlc8vwWAO6apOPSyuspTToVg7sTa2MjnSUvAgbaHKBPWUzs4S8Rd72Mv+xXbHImMu/ItfFHkF36Cz5WLmCRsIE+fRo6h5cwowan0442pgBP3ukg+VH3VeN0OtBZYX+7gx36M7lA/IaMfX+hJ/d83u7N4rph57+u205F6wAxg1rCDOpQMBhjUfPmYhVP7VXS74Y7yySa9XIAao6IpbfkCsJadiJsfxYpdQofe8ehFOHxs0cR6fgCNv6NvtLrsNasQNO6FxJlb0CX189Hi+GVSgWH+wUeKnOyMbjc8/oDjMpKZn/LAAsLfbQpVRTEGXH7A2gBmzqa8PjRKPZ/IG+w4I8c7JMzU9vqerklo5E9zkiqHQbOidjPVqmYOKsOp17FquRfs7T7IOZ9L+IzJvB58k0stMoTk1Yp4qtYyYfZj5EuNZJ9+GN0ycvJiDLha9pLtrAHCpdjd3uxmoy8NbGBSV8kcajLgzT2coT+FrmlX2NCmvFb7AENEcAcTTlhq3/DuPhZGJytGHoPMOOU14FCtrmTUM58ivQvLsba8CX25NnsSLmMxG4n3XYvOxv7OBo76noZlRRGTYcdo87MwbZelKJIVowVoU8uueUqW1EMNEDGbHyJ41Duepl4ewUiNtDHwLgr4FAiyupvYNT5COYEiAmW2ZVaKDgN9n8of2DeKQSUBlQiFKlbSa9+lfSAl4LkBYQdXElyRB61udMZUEfxXtLt5Ka2cvmORG4aNYqJ+S3cvDkCjTJApqIdhauXxrK7cGiiyNl4EzmBGiJ1IiuOE+S4fQEqWgcYmxrG+sPdHGy3EaZX4fD4+bKinVvmyw+XaNPIRRLA/IJYBlw+cuPMXPjZ0DPq/WoAFW9P+WHdLIUosLAo9hiF+XCDiswo+XlZnGSlOMk6JGL8b0ZahIEoo5rOo2yQShItJIbpSLTqcLj9PP5NJb12L5MzI7hhdnZIruYk/js40cCrBDgHeE4QBBF4AXhLkqT/mQneSfzL2FTdzTNr5Xr+be/v5eubp2MJigY29zr59dt78AUjkJQIA/OHkegL4y009MjWHcWJI1dhdV2DrNjdyt7mfs4cm0RxkhUx2FVk0So5pyyJ1RXtZEQbiDWPTKcvKIzjsxtkLZ2jeWWodJy2wg+08LpC4E9nDGU1dEqRjYe7QiXRX04dqao+X9wKgy1MTc1A2biLvuR0QM7UTVYdQlu7mkBENtqqT/ntlOl8USk/6G4YDYoDHyNZkhEGW7F07QBmAmDSqdD0HwbPIF5jAt6qr0ifMkS+H62sg4ZNSOZ4aNpGYUFjaEwpwreVXXx7qBNRgIsnpoYUuN3+AF92xnN2xYNEO3uoKLiJLVI46cFt633h3L4pC6/fSV9g1Aj+yeM7PMyYfBPZG28FYE3ZPzD6DKQCEVowdAW5TRoziqpVlE6dDMhNCit6EllXtRCDRskbgWloVApemyD/rLfao0kMn07Gt1cCIodn/ZN+u5kxQIQmwEx9NaK9E1Q6zPVfMHvm8tAxbanp5oa3dlGSFEZzn4P9rbHcEOSA5SraiP3mUh7LWIRfbcay+mXCln8EJNA1YCOyYwuCvRNEJULLLpYUtTHjhrMIM6j5aOM4pmadQcTOv4GoZOeMlxkIWMkCJps7yVnxC1LjpuJKSib26+cwLHwdyMakVbGjvpdP9gx1YV40MQXtkW4+FEj16zlS5Q7Ur6cnWi7n/rrQRe6qX5EcNQpbRAkxXz+Lfu5TQAEdAy6SbHtQ2mWum9LeQpJtNx0Do0iJNPL32lgs0X/mlc1urLocZibeyrgBK9lAstaOsOUZpLA0NInjYPNTWKbewiuXnYbaY0Ooew4GgveP24ZQsxZPvpwBfaK9iKtyLiDm0GsAHBp9F590pnELECE6iK/5JPQ9Da2bSMutwi8kEmFQo1crQh2wR3CkDJwaZQg9HwB2N/aFuHut+lws+efSLMTzbG089xUG6DFkkGiIRnT0wLcPycrqeafIHZU+pyx/kDqZXb4MJrY8Ezq/Usse9sRfyDhR5MuBJPrG/5WyDb8irG4lfmMsryXcQ5LfSrJWyX5fEi8dNtDntHPfFoFfTpnARZNU6NVKDihy8M9K48bvFPS5Jf4x/VVqFOkscUkhvtbRsOpUtPW7OBgsQ/cOk0Gp65KzXO02J1OzIlGIAgFJQq1QsOZgO9fOyiQlIpx7luSxq7Efrz+ASiFSlhp2Qg4VZ4xJDHWwgtxR+sjyYqLNI0t3/ynnjmizlvuXFXHdmztDJVCDWsFtC3JDnMyLJ6eyuCQOm9NLvFX3X3UVOQkZJxR4SZJkA54FnhUEYTrwBvAXQRDeA+6XJOnwv/EYT2IYwgzqkN9aRpRxhCyETq0gIUxHfbcDUQCrYeSD61CbLaRcn3bUiueL/e18uLsFjVLkkc8PMirRwoQMmZsw6PHz6uZ6ApKs8TXnKI5Xr93DroZePD6JML1qhFG2SaPg/PHJePwB1AqBcONQ0CaKAr+ankFdtx2zVkXUUaUmtzkV3YbHET2D+Gbfi1Mbx5FH4wGnlTGTbkTZtBlv4kS61fFcPkVPj93DqIJopLBFiK07kcyJSFG5I/arj8ujZuaTNIqJFPsrKM5MDY11YiWh9GIErRXJ1U8XFo70OtV2ONjT2MeCwli8/gAf7mrm3HFJZMeaMaqVjDH2ybyN5l2kRhroMQwFV6eNTqAgPMChPiWjI/38ab0/1Lk4KiJAUt82megb8DOWcuqE6QBYTUacxniUxecgKFT4XQOowoa6SqONav48U8c/Dig5K8VBB1YcHj8mnQLlQDPJ3Wth9EUgCKRJ9fj3roGIW7Huexe/Skv7xLtZ5SrgXMPOUIcmyB1ad07Q8uuv2riwQI3R10dLn4N4q57wlEJ6J91JxBo5UOyddCfWVDnI8btsIKqRJlzLQMJUzK0bESRfqIwcHeggvGuH/CEBH5mOPax3y1mVGikexZi7ydx8OwBNeb9kN9mkIeuZrSof8mkE2ZBa7oJUYGVAFo5d8Ai07kboOEBMVC+JYVr2epPQjrufzE23oW/bSnv6cr4LFHEmYBQ8GLSDuMddw5fSBOYJW0gTBhFEOYMQYdDywgb5OvU5/XxYBbPGyr8rT/J0mP47dGvuQdldRSB5Em3JiyhLi6SjoQd66+XgP+8UqFkDvTWYJfmemBvnJtIZCx2pYIgk1Swwxiif/4nqw2ga1yJlzcOdfSra1beS0b2Wt6Rc2h0ity/KZWd9H06vH7VCJNokUwwA9jcfuxau65Y/c02jlxUHSjnUKzHg8tAyOIZ93RKfZNvJMEAgfRaCrQ3hwAoApLJfIqjl50QxlQi9NZC/DEQFQvn7FPr2I0nzKIhUEn1gV+jzFI5OJlq6kMK0tNvcLIho43LjYZ6zTWS6tYtMz1dsUi3gwilpvPTFFqJdu5gYPYoWp4LEwd3UKrSoxEwKEiykR+qp6RryeZyYHkFBnIVOu/u45PrwYOn/rDFJXPby9hHjdy7KJd6qo33Axcd7WtjdOCT62j7gYlFRXIjb931IizTy0iVl7GzoY9DtozDBQlrkfzd7tKAwlk+uncLOhl6UokBZajjpUSPlYCKNGiJ/5LudxH8OJ8zxAhYDlwKpwJ+A15Gdbz/jCOHkJP7tGJ8WzouXlNHQ7WByZoQszBdEuEHNXYvy2FjdTXqUIdRyfgSKYYR61VF+gUaNgjPHJNLj8BBvGbl68/kD6FSKEKfH4xtJgH55Ux2Pf1UFwK7GBP50ZknIUNaoUYW4ETNyolAOu+NizBpa+5zsaugjzqIl3jqyq1Ht7AC/B9QGxL46dP5eQOYS5Wh6ULTsB2sqys79pBozuGuJzG3y9TTAnoNgjEFwdCEMtIzY70Z/Po9vrKRj0MYVU6dzlaTkSKhYPaglonYLuvYdeKIKqdZOCwVeZr2SGTnRfLS7Gb1KwdllQ55zeqVAur+KgCkO14KL0O18llGTR4U+09yxnenbH8CbfANF21/k2XHncaYjnOY+F3dP0qCutOGd/wgKRzfGnipipR4gDgQBhyYWXd13MNCMJ+8MApohjbWzddvQf/0Av510D5H7niOQPBG/cCcAkYpBFF0HkbqqECQ/wvirUB/8CGpWox1sx1N2FdreFpLDElHtehHTxCGGyyzFbtI23ox58kPkt7xLoCsGr/t+QE93by9Ce2XovZ6Ow/R0dpORrEetUCF1HkTorsRvyYVdrxKYcH3ovePVtQgeG54lf0dV9Rmmtk2MTZ8LpOB1O1H0DWVr9IP1CG45q6FSCGiVCrz+odKRUasKNYm0eEykTP0N9VI0EeYstOZk9NZoPriqgE0HG5B6hvarHWxA45P3G2FQ4enahbJlB3njC1BteQtz/BjUejm4OqUkjvd2Noa8SCdlRDAhXe6A9Tt7UPYNEZsFWytql7ywiU5Ix5u9CJVCCZv+Dhmz8ecsITxZznhNkHajWP8YzlGXoLI1o1n3ANNOTQaKqfVHUTzqQsS6tWhXXQ+lFzMQMYqHv2hgwOVDoxRZUBjL58FAdHSSlYAkYXf70GkURBmVdA7KxxtlVIZ+9w53gG2tQ+dvc4u8L5/PT0AbRrOxkCT3kD5YP3oGVSkkAm7UGCdeS6dXRQAlMROvxS3q0QsCxepmwg+9gDssh6aiq8nYeBuZ+58gMGoGfsFLTvk9qLsquL70N0Tuew9Vfx3CvCQgmzn+dSTu+iN3xk3FbooiadcHmHLOw+sbz6G2ARLD9BQmWHH7AmiUYlBAdYDx6RFcOCGFlzbWhY5XoxSYmRNFRUs/xUkWXv3FOL4sb2fQ42VKZhTzg+4Km6q7RwRdAFtqe9hc08Pi4h+XlOgcdNPY68Du8hFuUJMYpjvmefrvQCAgYXN70auVx3xeXpz538olO4mfFifM8QLWAI9KkrRx2OvvCYIw7ac/rJP4PgiCMMIfcDg6bS7u+HAfFr2a93c2kRppYGrWUDBj1ilZWhIf/PfIbFifw8e7O+SOSI1SZFbu0GcIgsBpoxPodXgx65QYNSNT1XuG6ddsqenB7fOHeF4H2gZ4a5tcbtnfMkCMScOENPmY/AF4a1sjvoDE4Y5BShItI/brV+iQZtyFSx+Hrv8wNq8ilPESFCrZh6zzIMSNhqyh1Vxlp5NMfwDF9udBUGCPGc+RXJrH4+eVzXUEJIg1a3lpYx2Z0UaWBi14wnUC3qhCPoi/iSXe1YTrhoJVp8fP+qp2JAkCEnxV0cZFk2T1f5sXREMypk1/R7/3bQJZCzjoCueIatnObiWTdeGcsvUCvDGlbHVZ+OMZJdhcPvoZwJcxB9WXd4AxFvekG2mUIokC7E4XPQ3l+GJn0TRuCUV7H6StrZmwBNnrrs4XQb7aRMyqy5HURjryL0Hr96NFxT5/Cqaiq4n/4nIAOsJKMReci37Xs0jGWBzJM7DuuphZhz/GFT0Ku2GI81fujiZp7oNMX3EVjL6EAxGz8XqUJALNjbWMEmzsL7kTt6ijyLOXhtY6MpKTqLcr0abOxFC5kvAvrkWyJNNlygnK00IFqRQUn4t65XUQnY+95DL2+xOJBtLUvaQmJjIY+yA9GEhW2SjVyZ1m/Q4vp46O57XNDYCsRD49OxKHx49OreTplgwWx0fxdp2BDFMScWo7A4NWxpi1JErtpDW8T2PaWXSYCxmz9/cUFDYAk0Frwl94DuqG78hccxWoDfgLzwGtXDIfnRzGh1dNZmdDL3q1kvHpYaHMgbJtL8qK9/GnzcCVOAXD+oewdGwF5oDXgbLifaSm7QgTroaKj1HY2hFyF4LOhCL/VAJVX6Lb/ZJ8r4+6AGVOUPjWG01xZBY0bARBRDLFU088Ay45C+f2BUKZHJVCICvGxI1v7eFw5yC3TdDyJ+taPlEtRKfwM9PxJXsTzgFAoxB4eqqbde1q3j0s8ufxg/Rq4ulxeGlrayFy59/A52Rv6X1kV7+CdceT9CfOhqjpvNJTyC+iFDx0MBGHV+DRokZe6czmuoDE1wPJZE5+mlYpnE9brVwx5RkODmrJsRuxBbxsK7iLCVuuIW7nYwBU5V7FAWUhGcA69TTmJMwlunk14cBgRBErDadztlZH52An64Kc1OHoHPQgCALXz84kM9rImoMdpEToSY8ycv1bu+iweUgK03H+hBTe39mExx+ge9BDXpyZnFgTnTbXMfuU93v814djT2Mvl7y4bUR5896l+Vw8Ke0HtvrXsauhl1c21fHtoU6KEy1cOjnte+eBk/i/jxMNvC6SJGn98BcEQZgsSdIGSZKu/76NTuI/i0BAYkFRHJuru5mUGTlCFBJAGPHXyBS9UTsUTPkC0oi0dIJFR3qUgZ0NfWiUIslhI7slby/xcEWKhE3SkmHyjSDX+44qBYxIlgV8vD2ljc974pgZ1onfaAaGyoLvM5ODPYO01bmZXzCRbIYycSqFCOkzISITrMmoFUPfbkAwYjOlEeH3EtDo6FYnhwI2X8DPg4Xt4O7noD+BKWI5+8Uh7R6npEbSWgg3hYHNglMaKn+aRCfv5n7HBnEsaYpmNIKPgE8OrTRKAbWSoC6QB0FjJEM3VGpM0Qyi1elgzCUonANkageY8OxmJAn+MlvH2N71MOsu8DpRt+0iMk7u/gygYIXuFPZ3dvLNShe3TvszFu9Q99WgpCag1stmy0o1dkmDXpBXw6XGHuI/upnu2CkoAl5ierYh7HoWJlyDsPNlzIc/QgpLQ+g8gEalIkHsDh3vYmsDik1PwOnPwYEV5PZ+jbtA7ip1+UX8PXX44kpwizqkzkO4EuXP1AleNIIfSVQh4ASVDqswJMHR51UiNW2Ta+WdB3H6BAJBVZtcTS/Cp3/AEFuMwZwAFR+SeOrT8nWTJPQqkVNHxePxBdCqRBSCEGqoSAzXc+EnTRC0eEqw6rhjkZzHPCAlU575Zz5v1rC/Fu4b+xJ1rhxuBBy2flRd+2UxS+ygUKPs2o/DNgu9SV4IZEQbyYgeWboBaPObMZacj13Qc9Abz7jxV9GtjA42gEgIMYWyaGZ7BSRPQBiujK7WIxqH/laY44PHAKcb9iJ+didEZiNNvA7hu0cpLjyTS0rP46WdffLeg997Xn4sH+9uxu0LoFaI5NnLMe14kiUx21H4HBi795EXmQ8UU6qupWTPdUyLLOaSuReSs/Em+uKm0przF2yCmTfNNzI+ZYBfbo7iyrzfMSprkHZvOinAcu02zF/exdXZl+PXqTB/+TSnj/sdgjAJb0DitC91gBNBcPLZPjUQ4L1CidQIA/UdeiSVEVxyEG0Kj8HmlX+vMWEWvM1DCy6v0kRSTBhateIY6gHIgeYRjmm4QcMFE1K4YEIKOxt6OePpjaH7obHXyV9WVzIrN5pV5W2sOdSJQhR56vzSEYbYw5H7Pa8Px9vbGkcEXQB/WHWQ6dnRpP6bSo41nYNc9tJQsLe2sosNh7t57fJxTEiP/JGtT+L/Ik408HoCKD3qtb8d57WT+C/CL8FbWxvw+iWqOgZZelTaXEIICWZeOzNjxNiy0Ym09LnYWtvDhRNTKEq0hsZ2NPTy9zXV9NjlFbdZp2LqsNWWureKcVt+j09poD33IlyumWiDApR5sSbm5MWwu7GXefkxpAyTqcgw+XH1rqG4ay+qujZsy14acUxfH+ziqwMdAGyv6+WfFw6p06u9NlmAU6GGpu3ooouHjQ1Cy27WjHmKJNtOhJ4qQA5ktGolKmc72VvvIk9jpTNyPBEpp4S2Vfjs6Pe9znzpRSQJxKlDnmZjEwwI5U2c3/QyeB10TriLqKBkh+T3InQehISxsh1J5ecoc88IbRurciA2bASPA1Hyo0mYikLU4fNLFJjd0NoP39wPAR8UnonK1QUk4yfAyooeqjvl1fgjazu4Zd7QtSlRNSF2V9E39y9Ydj9LWv9WfIJcct3SH4Zj/GO8VGNAK0pcovdhWfQ8UaWn4Eydjbp1O2LLLhh/JcLOl9G4hmUXRCWCqw8++pXMnZp2C16FWg591SZchkRKdt4BgsBA8lzZBgUwqf0oKj9H0Fphyo0I6x5F2z9EAR2vOIQCcEz+LdrmDUTUfkJO3FgglopAPMUTr0H47k/yOS0+mxZFAomAXiWy/lA7ZoWbza0BZqcoae4xolXKE3h15yBn5Wl454CbOJOCbJM7tPAYk2zloDcJfb+baI8bRVg0GUY5o1XfbSejuxZiiyAqBzoPIXXXUN9tJy8YePU5POxv6cegVpIfb0EdVM21xKVhaw/Hsv9VxvU34h/zC5wJwZBYa5H98Fr2wIKHYfcboNKDMciPPPgZ7P8QW8EFqAYb0a77IySNh6w5VAlp5KVNR6j4CKFxC5LGjCdxEm982Cffo6JAZrSRhYWxRBrVIdN2jz/ALYdy+FvGBaRUy6T9ytyr+MI+iusARVQ29cmnk3L4FXJaNoJSQ0PqGRSmxBOQoEObwrs2iRk5AQ4jsK7BySPj5HvNGT+RwJInyNr4BPg9BJb8FZcuD0EQGJMSztiUMOIsWnwBCZVCxOP1kR9vpqujlYnld6O0NdKeexGR9SuI3fh7Zi3JADLJ7/yUuNr3cEeV4NFFEtbwNaV1L9Cbl8egy8v9pxbQ0ueix+4hxqwh0qCm56jAB2B3Qx9Hqyq4fQFizVoWF8WhVoqsr+qivtvOuLRwrpmRwVNrq+XfuAA3zMmi9EfI9f6AFLLuGg6XN0BLv/PfFnhtqu4+JtjzBSS+PdR5MvD6fxQ/GHgJgjARmARECYJw07AhM3CyNeL/GLQqBbEWLY09TgSBEUR2kAmkR3C0CbJFpyIj2oBFp8KoHnlpPT4/txbZebdOz1mpDmziSNmHLn0GqYKEwtGKLWoUUcO4ZJXtNtIj9SSHywFXTZedI0peojESMuegqvoEf2Qu6pic7z3ebruHAdfQw+dwIJ6cxDKEQ58hFZ3FPn9yaBVQadfysO0ydlZ5ybDOJWrQxGvBMbc/gGiKhbG/QOytRZ88nQ7/0ANzUNIjjbkYsWkT3qSJ2IWh7F5YeBS+9LGg9oEhGlNUgpzhQs4CifFlaPRh0L4fJl3PYW9USIqiTwzDnFAGh1YixY3CqYnGF+xCOucLJdtmzkRRs0Y+36kz2OeJIw6wu/x020e2ig8Xxn20bRSXLn6Vl+ujWD4hjVUNCi7y+dEA+ZouCtrWcU/xJEQpgK59G7uSLiVKqaHWPJaGBjfzIvcjbnsO+/R7eN+WR9Cohgohk6K4UoTKz0BrwR09in6fFhMgSX5M8VlwGJAkDPG5iMiTf7tHS1/KBeTF7UOx9o/45z/CysEMlh65NlISBYLIDv1kShNA4ezigN1IIiAFROhrGPqiPbV4A/K9NOh08cfkLVgHq1iZdA5ndD9NXex87K5RmHRqLkloJm/nfYyecBcFvn3E9O2iU38fACliJ6kH7yI7Zh7tielM33Y9ffP+CiSgFAMozZHgaAdECEgozVEoRfn7VLXb+PXbuykPShtcOCGFWxfkYNKqsEp9KKs/haRxkLMQcf8HRMeVccSXktwlkDkPlGoY+wtZOyvYKbzXPA3tpMe4syKRVGOAK6YuQzSOIgM4YNOQmTAOdcVH8n6icugQIplbEIlOqSAz2sjf1xxm0O1nyVGLq/FRHiL7h3Sbonp3Ex0hB+JJcbHYsmbDYdl/1GPNQIzJQxRFRCA5wsCjXwxx96ZmRoby4ll96xG/+T1MvA5EBeLKG8mYcQcwHq1KQKUQWDHM9/OKaeno1Uo8aisr465jYnIVn2qXUZZyCtbW79jpz2YZoDLFQP4y+iLGYUOPyWhCiMpDpVQQblDz1Noa2XIniHn5MVx2nLKeXnP86ahz0M3KffJxnTsuCa1KQb/Ty/6WfhYXxeEPSChEgf1N/djcXiKU309AV4gCUzIjqO0aaS6vUylIGNZQ9FPDdpQQ9hH0Oo41Jz+J/zfwYxkvNWAMvm+4TsAAcMZxtziJ/xpUomwj0tDjxKJVhmxnjiAnxkR6cFV2dFr9za31/O6j/fgCEsnhOiKMasakyiTiXKvE5O7nmR0WRtSBNTQteHHEtjHOwxxIvQiHOpy4rl2oxSF5hsQwPbd/KBvH6lQK/nbekGJ7d0cLqvKP2DTmz6R1foNUu5u4qPTQ+Lz8WA61DeLxBzhrbCIp4UNBUJaiBaHrENKMO2DPmxRnLwLk7FRujAmzxYqvpYPqvgBnTBianHQqJam2nbDrNfxhaRj3vULJvPEQtI0t0zWjXvNX/JH5qDb8mTGLhx7yHXX7iNr7JgGPA9H+DSqPA1vGPExmKyaVgNiyFbY/jxSeDi27yJr3p9C28f5mhJo1SJNuQNj7JjGuatLCi6jvdfLOUh3i6r/hLjwHhaMT9danKFxQCsSREKbnjNJEnt9QiySBVa9kYvqQ+GFahIFZbzVg0DTxgsvH5VPSiAhaPSWr+6F1D8aKj0EKQFQuaVlyABGrE0ju+xhf43Zqi24h59u7WbzgnxxJYhe6diBUfkZgwrUI+99Ds+t5LNGjAD252h6Um56AxLFICi2KLU+RfZpM9Uy3iqjXv43QsJbqguvI+OxGJk29H7kPB9SihNC2l6kdF4Crn7as80g0y8FrgbIeoWkbUsl5YI5D2PY8KZLMO4w0KPAaVCQ2bOJXLZ+DIQqbXokpyFXUqRQo7a2cu/8K8DrpTV2EM9gMUtFmJz0gUrDzHgqUGvxKPQ29HiKAWL2I4PdB/XfQtEUuE0flEBvk9q3Y0zLC8/T1LfVMz45iTn4Mjp52wpRKKH9fzhAqVCg8R3UVKoPlsqP8+F7ba+PdHfFIUoBtwHvVMdwo9XBDXCSzDfWoP7kXSWPCmzINdeVK4sM+4M/L/kS/T8ncv6wLORt02NxkRBmp7hxErRA5LbwGQ81eDuZei8pvJ6PqRaYWy8GsrXoziV9dCUoN9tR5GA6vIHnz3fTHP8/hAYFn19USa1LSZvOhFAUOtfXzVUU7WdEmJH0E6MJg4xPyF9BakQxyUfWrAx20dA+EBJiTzAre2trAzJwoJqRHsNGSxxp3ODZJxbe9UURopjImRWb9NSsSsHTVElPxETEA4Rm0xC0jVaWkssM+IugC+LKinVm5UUwIWnwdwcT0COIsGlr7hxaFqRF6OmxDf68qb+PXc7LZWN3Nt5XHcseW1fSwqOiHyfVnjU1C6+7hhT12/AGJRWkKZo7J+7fqYhUlHr8EOjblxERQXR4/e5r66HV6yIo2kRF1bNn8JP6z+MFWDEmS1kqSdC8wQZKke4f992dJkqr+Q8d4EieIPqeXF9bXcajNxsp9bdQPs7cB2FbXg16jQK9RsKW2e8RYQ7cjxMdq6HHSOizb1OhU0VVwCVGdm3GVXc1m+8iH09fefA5FL2SPYQrrlBPpHbZCc7scfH4qZIRr+GSxn27b0CqtxatnS9LlPHw4iS0x5/CtI33EfsO9rTy32MSjC+OZH97BwDAxxNd6C/GVXIjw7UP4xl/Ni51DVhw+Se7wvG1BDnctlrs8j8Dp9rFGOweUGhQd+2kuupotg0Nl023k459xFwpXN4GZd7FDKgiN7XHHI437JaI5FnKXQuYcOt1ycNvvhS3WxaAxIXRV4hh7Ne/0DHHH3rcXE5h5J8LmJ5GKz2GdciIfXDuF9bfNYpc3EfvMB/lYdxq7Uy6le/Q1lA8OPWxvKRhg3Wl+/ro0mfXz2piRMsR9cfsCXDUjg6IEC+ePT0YUZCFSgDWDqUhjLkVwDyB4BpHGXMLaQdkQvNkRYG/sctpn/JH31UuwLXuZLxxD/LovfGPwnfoMj/nOZGDGgzTnXEKNW55c3muLo3PWYyCqELx2+ub+mTfb5SaDVrvAlqRfsHvKU/zDu4SaeS+xmkmh/dYL8QSKzwZXP4hKzMWL2d8rBzmrfaW4p9/F5vClPNE3Gd/ix/nELecMO5wQZTEhpUyBtGlIcaOJMOvoDXYbftsbSaD4XPDK97xUeAbbuuTztKlbz56kC4M3h5uGrIt5r10u+XUETFQlLEMyJ4Lfg2ROpCpxGR2SfP41nh5WTKlnbIzIVQU+3p3SSt+g/BnrHCkMFF4s7zfgw5tzKu/3DTV4N/c6+Ns3VZz5zEYe+fwAVR1DHYONPY4QTwtkzlZXUF5kszcTX9mVdM54lHt9lxEY9ytqY+djC6jotrvpdw5lfrfW9hBj1vDruVlcMzODjYbZVM99kbs6ZvPg4FIq57zIyz2yNc1+Tzzthb/kq6I/cWnPRTTkXUFTzqW0udW09Tl5qKSL17LXUxCl4snxvbyWsxHJJz8HtnjTkIrPHTreojPZKaXj9foRvA6eT1/DP8raKIxW83zGep4c3UiHzY3gtnGG7VVOO3Azsc4qltje5pwDN5DtlcvPbzWGM5B5ami/AwlTeK87lUGXj1778TM67QPyeep3eHl7WyM3vb2bN7Y0cP+yIn41LZ2y1DBOHRVPepSRrbVDpcE+h5deh+d7yfUd3/P6cBQIddzeeQsfL/Tx6Nww/qx+hlMD30Ag8KPb/m9RlhrB7QtzR3SlnzsumTn5MT+wlYzmPic3vLWLs/+5mStf3cmiv37HO9sbkCTpR7c9iX8ffqzU+LgkSTcCfxcE4ZgrJUnS0mO3Oon/FmItWn4zL4eP9zQzLz/6GDHTyVmRPPTZAUBeuQ1HYYKFlHA99T0OFhbGkDNMmT5LP0j43idx5Z6OZvdLLJ6bCwwFJEtUO1Ec+hSnyoo+Oh2rYXpo7JyIGrSfXMHnJRegWvcO8We+A8iTdLzSQU7Vg+RGlxJT8TX9037PEXsegAXiVjTbP2DQkIJZdNNb8ExobKa5CfGLx6kY+wD539zL3MVvAHKpMi3SQFOvk3e2y9mSB5YNeaLpNErKHGsZMKbRmbSc1G0Poz1nSmh8nFSO4qvf4S04E9XXv2fs4kiOmGTP0B5G+PIxJFM81K5F9DlJSJkCmIjQq8jvXIVLHU5r8umkrb2XOWeUQVBC9TT9PsSVv8NbdhWqbc8xZVokSv04wvRQYrShWvUgC9VhqF3deM3JZM4PBit+H5pDK0ja/ixJqdOhbi3EZUOKbBjulyT++rW8BlpX1cUpxXEhiZFTwuoQ3r8XKX40+H0IX93D4tNfBFLJj9LgWP8+qpZtLM24GNPH9zJv3jOAzJVrlcLIe8+CKLTytF/H8tIEflcoZ9IWxvYT8fEdDBoS8Sr1hH19K0uWfghkkxyu5+5yJbuaBPyBZj7Yrea8cUOB4uzAZsTtzyNlzUOo34hu7X3MX/IPIIkYs5qS54y4vAHAxV+2qXn8bPk+TFHaUDdtRKj4CCk8HaGnBoMhCl3BMgAutexC+cU/8CdNROwoJ/zb2zn3lBeATJbG9ZL4yW34tWHYzVmk7Xucq+flA6OIEW3oy/+CMNBEIHUaYt06Mvf9BUfi3wETZ5kriPrmdh5PO4Ow3goMNQdJOPNTIJXRunYMq+8FlQ5neAG68reYPbUImIk/IPHYl5Vsq+uhMMHC6ooOttX18tKlZRg1KkqSwtjXPMDEjAg8vgAbq7tCelD56jaUe14nHJFr4ucg7v+SqDQXurGLwaghO8ZIZfuQHc6O+l6um5XBxIwo7l2xn3mbtIxJ0dHnl5i/UsOvpslZwQG/mjMqptA+GMDj93KhYy5ig4q3i1WMixUwbnoeXdt2XshoJWbfCtnt4JQZAIz3bkfY8hSS1gKCiLDtWcbMiEJUTWF2WCcpdXvJbF1JYdQYIgcaSLHvpqd0Bja3kV6PkuT+Os7ZfQn4PbgsadR2OclLgmuidxHx7f2g1OJT6jHve5lfjI0hQltARvSxWSSlKFAYb0aSJJ5ae5h/DBOLfWljHW/+cjy3L8rjL6sP8devR8pLFifIau5ZMaajdwsw4pn3fbBXrcPUdYjCdb8i1ZqLtnMnLlc//ux5KKwJP7r9/wZqpcgV09KZmhVFXbedWLOGwgRriGv4Q/hwZxNfVLSH/nb7Avz2/X3kxpgpPkpu6CT+c/ixUuOrwf8/9u8+kJP419Fpc/On1Yfw+iUOtNqYXxg3QkjvUGsfD59ehITEtpqRGS+7x891szIAgYbuwRHdiPsGdIwafSXWlb/El72Y9wfyuGDYtmsDJSzve4Qwj41Pk95iTL+DOKv80NTmzkWqOhXVtmcIzLkXQ9oQWb3Fqydi9PUkffkrfNFF7BbzmTtsv7u1Zcy2bsDYd5ADpb+ns18gIbjIe6M1gbDsf/CnTRK3jHme/rYYfhOsYkYYNfxttoavC7PI0trISxvJ29CVnE5r3FQOemOJK11MZHxqaOwTRyGnj7oI1a6X8BWexSp3CacFx7ZKuUya/luET64BpRZ/8TkMiFaikLkkDZGziIybwnp7EhG50/iiPZxfBpNI64VRTFj6HP9oz+cXC8dy0J/E+OB+d9nMJE2/A9OKXwHgnPcoDS6tHLIplDhKL0e3902Ew1/imHk/+mDQBWAI2Hljeh+37Y7ktvx+at3tuLxyZ+kWqYjJc+9D8LtBUBAQVWyTcpkMKNQ6BkddTmz7dgp33o295FJ0WUPKMJmKdsoXN/DSwBjODKvCKTlp6EmlSK/lqw4TcyY9yE5XPHa/gpkFdXzZaeVKZBXx5TFtXJdo4+GqBB7NrWKzT82R4HUXuZROvhGh+hsoOhN3VBHrbTEsRDbCPqU4npZ+Jy5vgIwoI91BG6nDLhMZhRdibtyC0FODFDea1pRTCLgEkvSwyZ/DpLJfoWyXLXxsugS+7o/nDKBLCCdh9AW0W0rY3W9mYcpXeIxyqastYCI9ZzFSTD7fmE9ndvwHYE2jLWAiE1jlG8PS3HNIPPgWAA3T/sQOZxKnAeUOK5aC89mlLOLLdgu3F35KT9goDlV24vH6CdMrmZcfS2u/k8kZEfgDAQ622hibGo5BJTK/IIYVe1rRqkQumZjKES3kr/vjmTXxAVK+vpL4w28wGD+JDbEXUDjoo7HXQUG8BaUoUtE6QKxZy5y8aKra7UzMiGJuXjRzwtr51ep+tEqBN5YY0CTIGd2GXgeN/UNZ4/o+L+ClsdfBmJR49k38A9nfXEFM9bsA1M19FmPQVN1tiEMXloZr8m34ETFs+ANuUzIKj492IZIEUYMyaRyRfi+SV40/vox2n5EDLS7aIs9mefR3aDpk7ln12HtY1RlBHnDYHUaCIYaK8Q9jw0jZthtpEBLQeiTm58XQY/dwuMOO1y/reBUnWZidH8vhDhvPfzfSHNrtC7C6op3SlHCWjUpk/eFudgTNsiOMam5flIdBo2JCWgTXzszk72vkwEwQ4KY52ZSm/DC5HuDhjolcnHMl2Yeewdi5E6c1hz8bb+ZUu5FC649u/r+GIAjkx5vJjz9xrS6vL8AHu5qPeT0gwb7m/pOB138RPxh4SZK0I/j/tf+ZwzmJfwVapYIYs4amXheCABbtSK2uiZnRfLlfXv0cERM8ggSrlts/KKehx8GCghjO1w9lKfIMdixrn8E19io0hz7i9IIDDJd9mC7upsdaiEtlZYp7LVbLUPjkO/gZygMfE5hwDeLGv+KJH4s6Xc4wZaq60e78M57Cc1DVr2VGYCtHJmiAGe61BLx2/HFjyD38HJa0oSbahAgD93zsJyDBoztEHlw2jCDf1YTlk0spjZ1HTNcWPD1L0c6+OTSuqVxBavU3pCZPhA0fQfwXYJYn4qX6clRfv4K36BxU5e+wMG0GIGfMJigOwto/ICVPgL5GxL1vYY4bBcShVYqktH+Fse5LpsbOxLzhDaac8jEgd4+2e40UfawlINXwBBp+M88aCrzmhbWhXXEfgagCBHcfls2PUrToH0A0AZ8X94an0HsG6U2cRdh3D9AZWUxUwQwAZuqqiP/2at7M/yWJ5a/TU3w5WuUCAEaJh2D13UiRmeD3Iww0UXx6DhCDJEmYO7YhJI6B+BJ03l76mvdChMzbGS9WoFl1G5fnnYpix2oCyZPQZ8jXLSnSxPw3wxFwIwhwbyCSP54uZwtidBKL3Z9i3v8JBenLiNz2HrEz/gDIvL9IpRMOrYSuKmgvR5p4E6lxcsRhc8lacuEGNWqFGMzkyHplmSY3+q1vINhakcIzEFp3EV2/EiFTlrhQKRVyx+CefSAFEHILMAZvf6uvC+HgKmKdrzPDmoloq0UVJsuAJKhsUPk5QvM2ZkfvROg8gBQ/loSshYCJLIMddee+0L2j7dhNbIxsPzXg17F0/zSaB3z4An6EsZexeY2N6s6tAMzJi6bT5mZPUz8KUeDccUloglmKHoeX93fKk6LHH+DZ9bXctkDO2EZpA3grtw99Zl8lBncXFq2CHo2Sz/a1khKhZ2FhLN12D69taeCPy+XfTXrn18SuuY61i/6G6LUTtuYOWhY8B6mnEHUc5fLkcB06lYL6rkH6WmrQ2IcI8v6mnWzXj2HB6Axe6i9l4qSnOOODHvx+eH/5k2zqj+JatZIoelF0HYDaVrAkIvQ3oVboMOcMImp0pLW/KQddSg343GRu+z1TJ/wVyKVaV0zf6Of4zSobvoCHR2c+SY82iQKFSHlzP6sr2tk3TI2/z+llUnoETm/gGKkakI20QdbkkgISS4rjguKyfhp7HUwkgv+PvfcOj6M8275/M9t7UV31Llm9uMi94IqNwaGXhN5LgEBCIJQESIHQQguhBRISCL2aYmMD7r3LTZLVe9ned74/RtZKQBKe533y5P3y+jwOH5b21tw7OzM7c93XdV7nqVUruHF+IVPy7DT3eSlINjAlL3FcKe/bEItJWCUnic59o6/pvG1U5bj/LgH+3wlRFEgwqGnq835jTHvCNujfin+YqxQEYa8gCHv+3r//rZ08ge8Gu1HNU+fXceuiIp45v+4bDvQDniDHBrwcG/DSN4Z0CtA5HEAUYE5REhubBse1bDcHzbSVX4P24JsEqn7Ah67Ccdt+HJnEpvK7+TL/Fj5SLyIQiVvPvO8pJjz7dsTdfyFw0n28P5g1OqZLyScy53bUnVuQSk9DLJg3bt6etHmIfYdQ7X+dQO2ltATinUMKJD67MI1bFxXz2Q/SiMZi7O90IkkSBz16WqpuouDgMxj8HXwpTh43r1S6AgaOwobfET3p7tGgC+BjXxGhk+5F1baRyLx7+DwY54616qth5q0ICAg5M5FKlxPTy1pMgkJBX9H5aMPD5Bx+gYHZ99OuzB7dVowG2HYOGNUKNp4RxSEOj46tcabim/ojRIsDIXsqg5WXcsBvlc+ZP4IvczaepU/zefE9RE79PRuG4y3k25Q1DFdeSsaBZ4kYUjmQfhaBEXmBjpARJl+J0L4NoWsnTLqcrpAcoA4OD6MYaoQ9rxFr2Yh45FMUgXgW9BXPFCJV56NoeBcUanbkX41blIOrNKuGe08t59TqNJZVOrjv1HKybLLGmlpnQFNzDrH595DYt4XYyQ+hy4+XcpMFJxSdzNDS54jN+BEaEXDLEifBSJTbTy5hYWkKMwsT+fGi4rjQry4BcucQnX8v71Y8Seyke4il1SKp5AVCjdSA8ov7cU69jYjKhGHzo0zWy0HEx3023LVXoMibiUEIEpx4Jas9ctOEzpbG8Iw7kVR6hJb1SEodwzPuRGeTr4nMYBP6wQa2Vt9Pa965JDa/jyMmz9s27KNlODwioSAwGJBo7IuXAFc19I6SrqMxide3tY92qB7pjf/dcRz/TmbF2ik49ioDjllsrX0AZWCYwv7PcPlDVGfaOG9yFod7PKzc182W5kEmZtuYXSRfh8MKOzGVgYSVV2JbdTNRXQJDI31RZq2KJeWpjJhKYNYqmVeSQoJBTV9fNxPbXgQpxuHpD+FPKCf/yAukh44BsLfdxYo35KAL4PQ3h9jRMkQ4HCUUCiGUj/h8Otvl75M9n2AojEYBBjFE0JLLXype4OiEq1FIYZTIE6UHm1h49F6emQcPzdWxpOU35Pv3EAhF2N3uHBd0Aaw91MfudieFySYmfN0XFqgbyVq9vq2dHW3DfLCni4/2dvPF4T5+vbKBXleAaEzije3tXPmn7dz13n6u+NMO3tnZ/k95T6IocLl9B/budbgTqzlafCWEfSxuup8qyzeDm3835GA/6xuvJxrV33g2nMD/Lv5ZqXHZ/8penMD/CCRJ4lC3m79sbmNOcRITc22j3mUgZxRcI8RcT3D8Cs1h0ZJo1LDl2CDLq9Kw6+PZskxdGOv+F+lLnkHStt8zacEkjmeBANojJn72gcy1OKXSwblj/COrNN2oPrqPgcwFmNfcT80pr42O+Ya6EdY/hUefg23nywwmTcaeEO8iTO1eg6RQQWo12j0vUzSvCpCDjuXa3Rg+/QXfn/RDTB8/TGjiz1n0uIoHz6hkbsIQtoN/IOKoRTlwiEWxrzjeVQcQ2/UKimiIaHIF4rqHCSYUo0mXMwYVmh7Un96HL6Ec/dr7KF74IoyIQuhch2DLs0hhD0L3XiRBQSB9DjpbAnqlgKP9Qwh5CNhLsGx/kuz5NTBiOHSmdjOKD37M7oU/RVzzOCvqr+V4F2auehhp66uEPG0oQx4EbxhL/VQgCXUsQkLr+wjt2zi56BSUa37HguXPjR7/vMABrA1/JWzJRjXcRGrHpygr5WAxUfQgHP1M1tiSYtC4GlvaHAAMBjOrzStYYngX0d3JUMUlrBXqR8uqZ1n2odz0NpIhCcHbR2Xve0TKqgEDPc4Qj646MipJsvpgL/eeOsL58/aj2fE8tG6EmgsQV96CYdZP6LMWsfZQH9MDYdI2PEao8mqkYx8gKDVo8s8HZAspdet6Ggb1HHMrOM04SHeizHXzelwI+z7A1L6WOXXXI255GFfpRaiKlmM16FjpLWJpchWWL+4EoHviLWzzZrAMOCOpC+u7d4LJAZYsNF/cxxmLEoDJEPRiP/w6uDpAqUFwdci/O/JBY2Clr4gzlzzFo1sSWZKRw4KC2WzxZ5IDZI4REjZpVd/a3j9WxDgYiY3abaXbtKOeqyCXuwwa+Xa8O5LL0bLHWN+r48OtIo/VP8MGdxK3GOTg9rp5BWQl6Gns85Bi0rKoLIUUi7woWRfIwV59Dcmb7gegp/paNvozKQNcgTBbjw2yoiYNpSgy4Anxp00tnDs5C6XBzpqiO0gr6uOK9RaurbiLiTY/+8mnAugY9mHVK0k0ahEFmYjeMuhHEAQa/DZyeg4xeqdxdTIkmDnm0zEhwcJ9vhVkJ8/l8Y0CxQlzWJY1A5OURx1QFmtA37WZWc4bCWlsGIYOUmUvZdg7m8DXjMCPIxCOIiExvSCR8IjrhUohsLA0Fb1GziWMPRpYuQABAABJREFUddM4jkGvTK4/1u/ltrfiWUxPMMItb+whP8lI9T/R8opVnMNA0MuTA3V80arhDzU2jAXTSEn8ZoDzfwNOLncQCEf53edH6XYGOGlCMtfMySdzTIf4Cfzv45+VGlv+t3bkBP7P0THs57a39hKNSbyyuZWZhYksLo93IDb1ezk2IBvOHu0dv0LrcQXYNsKHeHVrGxdPyxm9mR9xi9irf8zGYQszyi5ht9dGzpht3YEItywsRCmK7GwdIhiJjaaym4RsYgteZOVwBksntNMlJHO8d3Frr4A/7TJebzOztPQ8QsMOzhk7r70SS/EScHYQLllBZ9Q62kS+zpvGgoqzMH9yA5GT7uHJQ3piUpiHPztC6unl1E25Ae2B14kVXEuXrY7jt8VwNEarsY786iCKwSbcOQtpDKeOUvpTcybgXvYMm6ITqBcbSHLEmwh2OK3MLj+XLcEsCrUuVEKUQb8Smw26hn3YDRbCU2+kR5NLlmcPkWC8q3QHJUzMmYVi1V1IKeW0GKs5HmJ2hg2klZ3D24OpZOhC5KiHcY54UrqjClpTTqH8yCfoNj1CqPIC3nXmc7y/rD1swlZ8Ic8F53Nm9jZ6lZk4IjGUSgVDETV2ez5CzkxAAnc3roiKDbs6yLUpWTT4CmLIi6vs+9j2vsCyotkwsldqUyJS0WI2OS5gou9LFHo7aqMVgIYuF1cWufmgTYs7DBcV+WnocnFKVTro7MRqLkDo3IGw6SmknJnEsur5zccHeWN7BzXJiTyRdzbpe54GUck7Nc+TrZAfdo5gM1WxjdQnxPClmEgUIhyNWoAcEmw2viq4gTn9u7Fu/i3B5Ep2ZZzHAsNIFlRjYlCZNKIaDy1SKooRY9CDPiOJ9dejWPdbGDqGNGE5nYpMCgFiYQj7IHs6nHQXrP6F3BkZkxcop5v2Y/3oJn6ddza2tgMYd+/npHM+BLJZUJrCpuZB3tnZwaA3RIZND8S76G6tDjPX0czaQ0Z+XecEhXqUR1Rpj3HpnHbuaMgi1xTl8uwevlLJZdVoLEqZ0UePX0GSTkeGOMCklFSGfGFMOjUJRg0XT/92i5pT1dtJcvcQzl+IKAikBZpYat4L5FOUamJmYRIDnhBdTj9FKSZOq04j067jWH+MFxqUbGvRAkHu3gAapYa7l8npsatqNNQ7V/NH3wyCUYErizay2bwYhUKgyOBF7N5DX/o8tqf/gHn7b0fZuZW84nNwByK81+DieHHl0ECUQwMC11rk7N774lwWllxFwcHfo/L10JNzKm/oz+XyBAs1Wd8MZJWiwMRsO0d7PTy3rpmyNDMnV6QSjcGXh/vQqxUsr8pgYWnKuAYEgPI0M+k2Heu+xYZIGuE9/bPAS2Fx8K7tQgY8ToozYrytPo3FtjT+eX/hvwdatYLzpmRzcoUDTzBCiln7v+IreQL/GN/VJLseWal+ArK2lwLwSpJ0wpXz/yIYNAqy7Dqa+30oRAHL1/wY0yzxUl2GbbwRtl4dvxTsBtWoPhKAQyehPrgOu1iFtnUXhakzx21bkmri1a1tBMJRzp+ShXrMF9sjaZj/VhRo4VFR4LUr4vOatSqu2WrGG4qyulXPZTPHezXqXE2w93UkjQlRayUlYx6MmP8sMDQjNm1GOuV3KA68w69rMnjnsJ7cRD05Qjeqfa8SSy5D7N1LsqgFZB88lUJE8nTDtueJamz4gmoSshaPvmegtwnjhkeRsq9H0foU3uk/gZSRh5xax8T3CvCHooiijbwEPS+Xq0Y+i4KoqEK3/Xmy/YPEKs+Vs3UjKFe0Qs8+WW7C2U5mJC4UmqvzYf7qGcozTsc00IfVdxQpT5aZNWkkbIEDsoq8SoeqfSPTsk8B5E6CDkUmDx5bSGO/n/cNNZw+MZP6kVpSd8RIRmot2qbPQKEknHsSD60f5KPGLgoS1Hw0uYjw5KtoEQqomGrFHxM5vscetwt7bwNJ9lbC7bvB6EAfDYFCybzEYUq33cjctCWElEaK9v+Z/YtfAyZAxA+dOxF8/SAICF27YaCZD/bK2bEl6X6SQsMjJ9hKBUeQFNNHrkEF7HkNvaMSvc4OOz9Ev0weUysECiNHUXhlJwPN4CGKhXaOZw2nSHtIbf+EpoobSen5iin772VXRjWQjjOmwdXbEreN6jlIa4pSDrwEBUiibD3Ve1D+H0F+HWhJnIOm5EwyD8qZ2oE5v8adUE4CchPH/aeWs6Q8hWFvmPJ0MylmDc+va2ZJgZ7Lvb9B/eUW3pv4Ewr3P0pMl0Bw6iQwZjA3tom0jbfxdNG5aL1tGNetQ7HoJaCYGYZ2Cj6/kXxTJmeWn0ri5sdIK/0+oibOcfxkXzcN3S7SrToWTEjBapBLrlp/D2x9jnDuIsSID8XW59DPl9X0BSRWHejBHYwgCnC4x8PyqjS0SpEhb2h04XUcwUiMDqe8eKgPbcS+9REuTtlEVFRhP/glU6frEYR6GhX5DNU/xeuHQrzzpcTPJ/2a5NQ0klQJWFQKVAqBcHR8GU89khVPCHeTk2SBzjQIuEhKyyE32kWXewIzCpO4YZ5Mgo9JsofsPaeUUpZu4UiPG6UocLDbTTgaY9gXxh2MkDBiM3R6XQYbmwbY3iJfazaDip8tLcWoUWH6Gvf1OEzaf/44fG9XB3e93zDuta8aB3jl8ikYNd8+7/8NsOrVWMfwdk/g34vvahn0BHAO8DowEfgBUPQPtziBfxkOdbvpcvqpyrBiM4zRdArHOGtiJq5AhCSjhmB4vLaMSiGMmmSrvkYk7Xb6OaMuA28wgkYl0jbkI21EjTksKUjWqThz04WEEstw5ywet+2aQ300dLmISfDXLW2cUZeBWSfvlxSLcWZdBu5gBKtONVpqAbmT8o6lJeztcJNiUpNgGH9jGNCko5j1K9ojVgqUvQzGdBxX3AqqLOhiMYT3b0AqXMKQYOGsiSlcNC2HbtcwSUllqDc9jqQx4y04g7FhZnJaDoemPcyBSBrztQdJSY175q3r1zFL0LNwy8UMJ01i44BhVHUdQeB7Nel8eaQPs1ZFebo5blas1hBVakBjgpAHSaFGqY4HujFBCZVn489biPbY56CM75FXk8xA0VnUbLkXgMbZTxDVymGCRasholQSqrucpsQ5FDe9RLIpvq0nGOHUmkyGfSEsOhWeQJjISP0qGgkTblrHZutpKIlQ3vQloZAsI3J0IMT6UD6zO56l4tjDeOpv5ZPBVM4cmfczdwbLCk+lYN1NkDmVdfZFJA5GKEkFW3oxzlk/J2fjryASYHjOvahT5GaLQY8PS9CLlDUNwVGJdGQVsWgErUIkQIxFaUFUR9x0n/oqtq6vyAke44hvEEjiWNhGVs3FaDY/Lu9/yXIaw0mkAb1DQ8Q6dzGUMpV1WVcz78j9BLsb8PpOxqDX8LqnmolTnua5jiwqE+rJTfMQCCVTDRQZ/JitiQxMu4s+bTYl/l2UmkYyvloTwYqzUL16NuKOl4jpEnCf/hdW7XfiCfRzsnYv+v7do8fb2rWOfnstJI60RrRvxhgy0xk0kDa8nVvn1nPR1FzaBr38detlnD9wmMKd94FKx/u5d6DrUbAwEVyOGaSe/BCJu14BWw7R6kdx2eUg0pdQzpHJ91O46TYSdzyGx17B0fwLmWSUs6DPftnEbz4+OEouv2l+AWqFgiF/mDz9bBYXnIb16DsA9Bafx9u+Oq4ENjQOMCXPjk6lIBSVs9IHu1zsbB0mHI2hFIVvENZ1I5nrp/rruCh7BRktbwPQmXEyzw1M5mexGC2DXja7UrClipxmCtGu1bC+ycfplhBGjYpFZal8MEbVPsGgxqKTHz2naXeh/OI3hGovJ6xPwrD+1yys/j4ucSZalYEb5xexqDyVruEAuUmGUfHPgmQjP1pYREOXmwNdLnITDcwtSWbBBPkOkZto5IWLJrO7bQh/OEZFumX0fjY1P4F0q5aO4bhuV26Cnim540VZvw5Jknl6aRYttdk2YpLEgCfE5uZBGrrcTMo5wZs6ge+G7xp4IUnSUUEQFJIkRYEXBUHYCfz0X7drJ/Bt2Nfp5Lw/bMIViHBmXQa//F7FaOrYFwyz5mAvW44NYdQoeeB7FeO21ajimahvdLUI8MZ2WfdKoxS5cGrO6JAUCRDz9BHTmBGCTpTR8UKDV2R3c47NyXBUS47BxdiYzhOSO9WOY6zFiUEMMaX/LXxSMZP9jUSNZUC8hNLpkQh5Q7THYmhEP9qC+LxiNAjWLJh0GURDWFRRHjhDzgJt9zhx+oMkKVQI0RADQcU4nWtzxRLMFVAkSQjCwnGfxaaKoA4Ng6hAE3ZhU8W5cCLwt21tFKea8IeirG7o5cb58vpDiEXReDsgZwY4qhAPfUSCFC879YU05Gx6Eg6tRujfw8CCp0bLExohMuLNKEMdGiYqjOEGSSpCUSW+iIKoqCWmindwKkWBt3Z10NjrxaRRcs7kTFQjhuHdMRsvJNzMoSEBQRCoSq5l1T6ZyF5gVzHZtxYxFoKp12LY/wqzphcDciPCXN0x9NtfgPproGMHdcOfMCDI2aeMWCfStscgZzooNFg2PYQ1uxZIxi8aaNPXUxXdBZueJlp5Ll+Fi7jhpCx+8UEDB4Ygu2sXKX3XIPgH6S88g9CIEXmBxoVqTFedwj9AgU4mV0sKPbcNnEyadj5vfSlwUeldNPaYeGYkc5KblsQ17ybi9DtZA8wryea+OXJArRBiCHv/RtgxF59JCXueRFgcd1Bo6uhhQkTO7IgRP3uaOvjx2kFAYvniboSBo1D7A3B2IB77EmupLJrqa9mB7vVzKUycjC5pJrY1P8cz+xckzb6O1iEPdnUY5ci8RMNYRD+RkWxk0eBqxFV3Q92F4OpG8dHNlJ/6NHAOB7uGKHPHrwdV2EVbTz85Lh/d7hBPrT06GiBNL0jg9e0dtA/J73N6vsQyMZ65knzDVEyQ2Vc2vYr9nS66nPHv7ymVDkBCqxI5vTad17bFv6uZNh0pI4bUidoYhlD8i61XK0jSxhBFkWBE4s+bWsmw6ciw6fj8YC+uQIRTq9JwB8Ic7HaPmpsrRYFQVBrdhx5rNZn6RNQ7nkUNoNTQnzqTVJtVPh+iQFmahbK08dnwmASNfV7e292JXi3S1O9h67HBkc8jw6JTMasoma+jy+mjLttGRYZEjzNAqkWLQpRt1Bz/xPpnQpqJjiHVaCCZZtFy9qTMcR2RXcN+Oob9pFq0I+Xn4ydDwtnXxoYeJRqlgumpUTS2eGNPNCbR0O3C5Q9TlGIi8Vu6UE/gPwPfNfDyCYKgBnYJgvAA0MU/6Yg8gX8NjvV5R736PjnQze0nTxjNevW6w2w5Jt90PcEIzQPjeVyDnvCoSXaqeTxHJMeu55o5+XQM+5mQasI+JvvkCougLeCveU8zU3+M3oBiDLUesrQB0jb+mJigYGDqnSjH3ISCEbml+9iAl1KHhe4xN/1gKIhisJHLOh4lFoOdM54av08WBQkbfwaikuG667Amxm9iUiwGrRvA3QX2PKJZcZsiq0YgGIryUd1z5PgbkALf7CADWRvn67ApgsTs+bye/zMWDr+GXRnv/lQqRE6pSuOdnR3oVArOmpjJ8Rk0KiVhfSJs/QPseRVKTsFkiT8sPhjO5vT8c3AcegmPYyrveUq4fGRMF3Gj6dvLhprfYgz3k9i1DbHidMCCNwJ7fVbq9/wcW/QphlKncWhISf3I6ev3BFlQYKEo2USWWWB/p5NAKIZGJXc1PfJVXDwxUpZKhk1H+5AftVJEm5gDe/4IrZsgqQSTPp5JM+g0Mil/45MgKlHNnDfmISLJRuB735B/LZjP8QOhjAbJH1xDIBKjdcFLFKy7mfKEOmZPm01tlp327l4iSXej/Oo3UHIKQtGp6CxyWOwNR5Gav6K9+AcMqjOpPPAgrtIwDiDFomVxXSH3vHcAgJcaJB47O2+0RL6sMo0J2iHeOaYkywT1qQJpVnl/Nw+bUeWeRc6Bp0nlDTyOeta7HZwOtHR04zj4EmGViZ01v6Zu//2Ut7/K5LQr2Nge4tJdRfxtyUMoV98Ntmy8C3/LVspYBuxwJ1I79WaS+3aR3PYS0frraVAUMwnQx3wsGZQdQnfXP0zFvgeY1fIkBwqnAKn4dQ4MKRWw/SX5wBUuxC1asAHFtFJ28Hf4kqppSjuF8j33MdfzEV2uSXQMhccZJtv0atYflbtR1QqRKxyHMG77gqGyi5CCLlKOvkWoYDFQii8cGxd0gWzBc8mMHJyeCHvanZxanUYwEkMlCnhDUY71y5zQC5IaMQYlnJNuIgrYfcf4QdJRYB5mrRK7QU37kH80AJyUYyMqSYQjMTJsOt7d1Tn6nnOKkxAE+OVHDZQkF2OZeAOWL+8CwFN6HvoJYzLqR1fLMiGp5dCyQfZGzZjE4R43g54gl8/MpdMZwKBWkGbVsfZwLzMK4xnsb8NXRwZ4b3cXKoVAgkHDvk4n4ahEcaqZmiwbw74QK/d2sfpgHwkGFSdXOJhVlIQgCFh1al7bGg9OO50B1h3u40cLipAkiXd2dXLPe/tw+iMY1ApuP3kCZ0/KRCkKDG18CdWuP7HFcCMlxiCKT+5lcOFj2Evn0OsK8PBnh3ltWxuSJIth/+b0ytFu1RP4z8J3Dby+j8zrug64CcgETv9X7dQJ/H1UZ1mpy7Kxs22I6+YWYh3TfahVCSyrcPDB3i6KU0zYvlbTd48xmXaNsR0BCESiNPV7Odwj80ZCkXimx2zU0y3Z2D8kUqyz42F8R0xEL3caimEvEUMqWnV8nwoNfpbkNbHWUchJ+sPsVE4cHVOotDjyK0DRB0kTSDWPX+FJxhRQqCHkIWbJBlU8MOiMWcgzOWRZCFMa7ZIsyAgwFNOz1nIJ29s9ZFqyMPjUY3T24VC3i+e+aqbLFeCiaTnMnxCnxr7ZnUxP+EoY0rImcgW2ThP3j4x5g1E+P9jLgtJUwtEYb+/s4OLpOfKgKCKp9FB6KkSCSCoDCn08z7ZYfxDH4ZdprbiOrIbnWFywjeO+iN1CIg9xA19sk7BqM8k1VXO3KJdUojGJroiJmEKPGHXi1mXQG4yf19NS+sg++Bx/M13IAs/HSEW1SCPzfl1b6JP93Tx8ViWJRi3ZZgHh8G4klQ4hGkLQmFDG4g/l/WIRlZZ8tANHQamh1VhBnlrOtLlNeUST6rA2vCf/nlhD2Fgg856sFv5svpAjzk5eeV/BT+oex6ws5nxRoDrLSkXnqyg++QmxiZchNn2OvfceVKe+CFSxyZ3Muuzf8nG7mnavwC1VL9I8mDuaVk+3aFlRk04gHEWvVpBojB+HwV0fkP/ZD6ks/w15rVux792JS/97zI58lCodIVO868yjdSDoZHrqUFTDk9JFlOQE+MWXWl5c+Ds+aoqysT2EUoQ/Vh9E+dFtRJPLUQw2Y/jsx0xb8nsgnSza0H95L5jTIaUUxYZHKZimBxYgCgKxxGJIyMUR6ULMn0dMoR4N9jf50plrTEHskbvropYs1vpyWQEoVWpik68gHFUzLGZC/bUIyiTSLFrMeh35SQYaR7SZxioghKIxbj9Swt31j/CRv5yGngFumjKTlcPl/BTwfIvWVDgaG2mGEWnodtPQ7R43XpEuH6eg14lx/9toU2qIiSro2kLQPAG9JKFSiEzPTyAYidHrDpJp0+ENRbHp1CiVIu5AhOVVaTT2eZiUY2f90X7WHupDoxR5aXIblp33gFJDTKnDuOdFhs1ZMPd66NgBr54LlmyYfze8ey2IKrj4Q6RYKolGDc+OEVHVqRSjWmj/CJGRTtNwVBrtzAUIhWNIksSTa4/y7JfxeV/f3s5zF05kTlEyaw71fmO+DmeApj4vrYM+bv7brtFz4g1FueOdfWQl6Km0+FHt/jPG3m38yP5rdF0dKAJDsqZd8XTe2dXJq1vbRufsdga47pUdrLxx5vis2Qn8R+A7Za0kSWqRJMkvSZJrxKvxZkmSjv7zLU/gfxrdzgDhaJQFpansahkcx5mqzrIzoyCBK2flsbzawezixHHbZth0TM1PYGpewjfaiZv6fXy8r5umPh9Pf9E4KkQIYBf9TBt8m99Kv2XB3h9RpR+veh8c6mTHhFv5supBfP3HCIwJ6uyRPlLX3sKKhh9i2vwwqUK8DJIkDaE89AHRwRbEzb/HGuoZN6+7bT8N+ZewruYh/Me20NnbNzqWLg5CLII068cQGCZbEd+nHneQZ9e3sbFxgL/t6KLna5plD396mNe3t7PuSD/XvrKDQ91xraDKDAsNfSE+3tfN7u4A1RnW0bHpBQlMz0/kk/3drD3Uy1Wz88ka0WmKhEMw0AQ7XkI68ilC60Zc3fGbd4uhiq/qn+N7B2bxUdWTNFmnj47pVAq8Siv5SQaMWi2JSSloRkpoghRlbnQd7oRyDs14hKyOj6jUxMtxgVAI43ADVxy8mNzWN3F6/GhV8sM9L0nP4hHOiyjC0rJkHBYds4qS0KkUSIOtCKlVcrk2FiUSjD+EkoZ3oT22ml219+M15WJv+DNHO+Tz0928D/PBN2nNO4ejBRdjbnyfwWOyrF9Tn4fHNw3SJdlYXJ7K5iETH+yPn7debR5S3aWI256DoIfItJsYUstWKzMKEvjLMSO7eqP0eyPcu03J1BG9oUFviJ+9ux+dUqQg2UgkKvHoqiMER3wpD3q0xBRaFm29jMJDzzBsLOCwU7691eo6Kdp2N8PJk2ksvITU5reZHNs9er5tSWnok/O4cnYeQWM6R7xyuSkSg0ORFKSSU1BY0qDiDGIFi4jZ5b5cu1ELU6+D4RY4tBJyZqA1yxmK/Iw0DqUsJeYbJHnbgzDUTItjEY5MOVU5W9qGaEohUrCIWOY0FMFhlqh2ADCgSCIgGrEcfYcZm64A3wADpmKCkoIMu4EfziukeETDSqsSMWri6+f9gxKDhnxe3zfMzn6B3UEH2akjZvepJrmBYQxmFSaRZdcTi8EldVZurpKDs5npIrdUR7GOcDU/VMzFW3oOmp6d6Lq24C0+nY/VcsNKKBIjP8mAQasgO0GPTq1gen4Cfe4A0RFS/ft7OnEHIjh9oVENs3A0RnfMAjobe6Y/yauFDxPRp9AUsuKJAMkTCFRdCAOH4bXzITAMM28Cex6uQJi3d41XZfeHozSMMTRv6HLy/LomHv/8CBuO9o/yMeuy7eOy8iBnCyfnyt2SL6w7Nm4sJsFrW9sRRWGUJ/Z1GLUKdrUN821SYDtah9jQo+JB3Q/xJFRgHNyHIjBEW87p3Ny1gDZniDd3tH9jO3cwwt6vmYSfwH8GvmtXYzPwbV6Ned/y5yfwL0SPK8ieDhd7OlzY9Cr84SiaMXytc6Zk/91t/eEYR0darOuyrePGrHoVy6vSCEdjhKMxDGM6dDoDGgzZc7B+/mMiuXNpDlsZe+LvbypgZ1sCwYhEfoKWF6ZH0Y50RW732Eh2zCGl+W0Old3EXrdxRBULDofseFKWU77lVoIJJXzqLRjVkQK481gFbQM59Pgk8iyZ/Cqo5Dgj4qtAHvNSq1F8+QCR6TfzhT+fJSNj7kCE4JiA9Hj5A+Sb/VnpA1ySFeNQwMZUQyeuMZlAa2yI12d1s0VRx+ToTvbGbMgJXkg0aVlYlkxeogGtWqQkNc61CsZEmhLmUaF9AcE3gGfidewSijguCTsUURKxTua8ej9DJi2DwTGND9EAj+XvYK0/j0RViBJtC0NhWfHeGYxxIOMi2pQDvH1A5M4Fb3IkmDwq56HSGhAKTgJXGzFTOsmJiYQioFWDXXDxRNIbDEyoRySKbeBtDkmXA4mEUCOklIDeAlozUvIERG28SblLkYZj3n180lFIctmFBEUtAUk+p0c8OtJSqmk3TMcdU5OmCXDYa6QQ0KtF3pjWjjDUyKvRuVxl/CutOWeOzquIhWDgCFSeDaICsWcPgSTZ6SArwcDVs/Np6HITkWIUp5goSJYDDE8gzIXTcvjzxhY6nQHykwxy9isiX/9D+lwGM+eT3CCX7gIFS4mq5W1X9ibRVv0on/dZ2Nap5BeTq/lquIxbADEW5irtZ4SbdvK29WJq973Ii6W1vFuznHZXlD6rhkHfPhK2PQSCSOuCZ9EY5etBKUWQnG2j5WZpuB21Ws7aKoPDlPW+j+hslQPb3gZyml5FyC8DQzZefTqWjY/SNeu3WEPdGLc9yUDB+aQDmuAg2iPvQ3IpFC5A2v8udnMJgYgsRKtQiGgUAkvKU+lyBbh5QRH7Op0c6fXwVE0HmWsv5vnJD6COBSjdcTfR0j8BOZSkmjhnUiYN3W46h/2UpZmpzbSSZtXjHOzn6vBLWLs3UjLv19T0vom1axu7ch8HcllmaMBwMK7Ybhjcz8l5+4EqtGqRVQ0DozQHgDPqMjilMpWIJGHVqZhTlMzm5oFx5f2YBDdvNtJU8wxNXQl8sKeLzpon+Ms2gU9nRtnS7ieqqGcBf5A30JjoSawnRaFi2B/+RqckMGogvu3YIBe+sAXvGC2wh8+s4nt1GcwvTeHny8t4cs1ROp0Bsuw6rp1bwMyiJLa3DI0GaGNxrN+DJEmcOymTtYf6xo2dXpdOSaqZna3D39gOZEcRrUpBqSmIrjseYFk8TVQmRtEoRaxf60A/Ds0Jhfn/SHzXUuPEMT9rgTOBEy0c/wZMybNx1sQMNjQOcNuSkv9Si/B5UzIxaZVIksTy6rRxY3a9mo/3dROKyg+8sa3VWZphzO2fE5xzN+qWtUzRtHC8TAawoDSVzc1DRKISp9RkkWKOlwTnJjoxH+lg3eSnmNT2AqrK742OTXMIKDa9z5aaX5PXt4qZpjgPBGByfjKbjjmJxCRKMh04rPF5p2lbEA9/iGvBQ5g2P8T0+RM5LiqaZdczLT+BDY0DiALMLY7zJFQKkfLAdpJ2/54J1iIUsSDG7DoYod8XiF0kf3wDsx1TMXWup3DJyxwXUF1zsIfb39o3ejOvzrRSlmYlyaxFI0Ja6we4jLm0519G6abfknPqTI4LqLYOBvjd5/Ek8UXTckZ/1vj7Ue97laXBQVQhF4Mp9YgZswELJrWCZ7a52N4iB8xnvwk/XhTPZJYILSh2vkTMkoV4aCUpU/UotacCYAt1oWj+kuS9r4EUQ7JkY8laDuSSKA0i9B2AHS8jWTIRvH2oM6eMzpum9KD99B5+pE9C2dBGf/XVJFlOA6DQEkHavp9pQ28QFdWE9SkUTpAfeAk6gd7hJrL3PcGt+r+hCAwwkDZ3dN6EWD9Cx1akXgOCrx+xYD5JkQ4glTUHe3hk1SH6PGEkCVJMKnyhKFfPKUCtEHlnZweJegWFKUkMOL2sb+zn0hlyBqnOt57khpcYLDwDU9dG8tdci/r09+hyGshJNHDD2wkj5y3K2V8mctN8uZTb5fTjdfkoaP2IK7u/gJCXo+ZiFs9NITXBSucXz5Ow7SH6MuZjHj5E7uqrOaJ9A2yzCbgH0RxdBVlTIXkCwvY/glMuF3UPOUmOhmUJkb6DEA1D8TK6Bodw2LNp8mmpjkXJ/OxKkKJEbQW0+pSkA9laL6JCBQc/AFGJIMUw4EepEtjRMsi2ph4mJkd5YWc3xQkKVu0Y4scr6qnOtEHLBiRRTfWmG0CSkIypKAxyh+ym5kEaut3kJugpc5gY9IV5d1cn80tTSLTZ8VsKSTr8Ggs3nAfAUPpclCPbar0d8mfJnweCCEdXoXG3IAgCwXBsXNAF8N6uTpZVplKTaeE1lUhzr5PJOXYsOiV5djVNg3JGPSbBhl4lNbla5pUk81W3m5MrkjBolYRat7Jw980A+JJr0PfuxPbhFXDBq+QlpFCcYkIjBdjTG0YQoDZVTUGyfF5f394+LugC+OXKBmYWJZJk0nJ+fTazi5NoH/STnajHMSK1U5BkID/RQGP/eH7s8up0BEFgfmkqz1xQy9+2tdPpDLCiJo1Tq9NRKkSm5idg06uoSLeg1ygJhmNsPTbA9IIEigw+xE/uH810WbzHMPdt50rHRxgM8zlnUiabmwfHveeEVBM1WeObCk7gPwPftdQ4MOZfhyRJjwJL/7W7dgLfhkSjTLpcffNsllWm/fMNxiDVrKU41USJw0yqWTtu7HCPl9AI9+FQj3tclmify0io9nI0hz8kOukK1gRKxm171qRMfn9BDb+/oI4Lp47PuK33Z3Fg1tMcs09n76xnOCbF+VRGeyrReXfjzjuZyIwfYy8dbxkkOdu5f7aeG6cnUqHqwB+KZ4ke6yhm27Sn+UlzDdtmPMeTHfFmgWFfiAeruvjlSXY+WR6lUhHXAQ5HYnwqTkdUiJh7t3Kw6Cpao9b4/gbzcU44F1P7F7gLV/BVKG6P1DHkZ05xMkvKU1lelYZOLdLvkcuYQ4EoH5tW8GXZvbyhPoU9i15nzUB8bWLBy6uzBshP0PDOQi8zkny8vq2NPrefLUNGduVdgcbdihgcZmPqBTS65cxJnyfIkZ7xvJveMaXTvwxX4C87D3HgCFFbLp+qTsIVlB847/Y58E26BsE/hBBwEqi/EV3/bgi4iLZvI1p8CpIhEcHZhlR+OluU9aPzfh4oxF15MUpXG2it7EtZwUBIXn13xmxoJl4AYR+K4DDKSRfSEZEf0AMBgQbrbGLGFBS+XkL5i1nlix/DDwOVxGp+IOt8iUp8VRexekguh3rcLl4t/ooHJvu4rjzKO0WfkhiTH0bdrgCPVHXyu5yNJCh8PJfzGTcX9o2WxNfHyuma9SA3DJ3Fu8W/oWfOb7hrXYBpv/6crc2DLCpPZU5xElNy7ZxZl8HAyHZtriivhGYSMWVCyEvElMkroZm0uuRj+J6zgGM1P+H20KW8nHUvDZU/4bMBOfD9fUcOgYUPQiwCe/5GbMG9POKaA8jG8v2ZC5CmXA1KHUy6DH/xctb2y8ep0ByCshXytpKEWHoKeVo5uP5kKI1A1Q/kAxaLEMubxz79FB5d28L1r2zhe9GPud7zOA8vSuDxjDU8YH6dgEvuguxXOojW/mCU/BWpvYgBlRz8dzsDbGwc4C9b2nhu3THe2tHB3k4XncMBun0R9icsJpwYt8jqrbqWQz45C/qrnikE5t0H3j5wthOYdy+/6p1BOBwdx5M6jlA0RvtQAKNWzb0VfbyUu4pMQ4xl5kbeLf6M+bnygvHHExX8OekV7L5GUqQ+/pzyV35Y5sXlj/Bmo4KelBnsK7+NW9R30VzwAzodCwjpU/GGojwzuZdnU95kdoaCh6b4eCnhJarNXiRJYmfr0Df2qd8TGrVsAsiw6anPTxgNugAsejW/PL0ChyV+f1xclsppNXI5XCEKLCp38PxFk/johhlcMSt/dKGZn2TkRwuL2dPh5ON93Ww7NsgPTyqiJNWM2pqGa+EjDFRdxV3+c3jWfiveyguJTr4GFDKB/zenV5Jl16FWiJxZl8HDZ1dj05/obPxPxHctNdaO+VVEzoB9ZymKE/ifhSAI/60U9J82tvDzD+SusLuWlXLRGPXrKbk20ixaOp0B5k9IpiTVGB8zD6D56JdIWfUoPvkJS0+6G0ap7PDGtnZ++rZMEv7hSQXctCBOcDWolVzwl4P4w1HSLFoeOjPexu8e7Ebz4fXkJUzD2rWK4Zl3YJ901uj4D0zbUR56H5chB5vgJqKYBsjlvZxEA99/v4VA2Mn6o0ruOiVOnp5qHcT61t2clVyOYt8ecsvPBGTZCJVS5FTW4tWl05e+jJp9v6K7ZArHM16n63eiOfAKvvqbMW19gjOL53Fcss5h1bL12OBo4DOnKJGkESfmJJOGDT0qPtzbDzh5Va3glyviQegiazsZK2/gzZJzsa57jX1193Pl+mwWlaZwyyQNORvvojdtHvrgAAtbHqat9I8AZNkMTC9IYOU+mV+lEAVKxnjULTEeQbfuRbqLv09q49+o936OWTsbgPPSetG/cyex5HIEKYqufzf6Db+DjjUYBo4ipZQhBD1IJcsQdr3CpLRaQD53J2t2Y9rxNH15p5HU+jETm54gVirra1UKzSjX/ALJlgNKLcq191O7vBAoIFUdJK33RURvH5HCJaiPfMilc2pgxBJ8kXIH4rbniOTMRtmxFf263zB3ye+BTOoTfKRueoec0MuEtAlofZ1MWizziBy6KEL3FyQf/iv3J1Wha94NtWqSTHIHXJPfwC82Z5NgUPNau5G/tNnY0SoHI85AmI/2daNTKdCpFGxuHuSHJ8nBYKEV8qMvo3S34U+fiq5jI9cnv4xgka/TQWUyF+6bQstggM9a1eQkVHPtXPn4X57RhvbjOyDoQrJkIX56BzfMuh2op97mwfjBYwidO5DqLkLY+Sd0h1ay7LSXgGz0vi6EnS8jmdMQgm6Ezb8ncYm8T/XWYRSfyaXNoLUATeMqsm0VfLx3KklaMPlasbWt4rTB3YjePpwpU8g2yoGipfkDlJueQNLZIRZBte63mAypkHwx+UkG1EqR79dnoVcr2dPupMfppzDZgBQYJvHQI6j6DxA1Z6BwtZPz1c1I834PZHFxSiPaNXcRU+qRBBHtmru4ZMZvUalmkZcYL7kfh0Wnkr0UvQPYNj0Andv5WVk/6o0rEYIunjxnPkdPmUHm4ZfQrn2di6y78WvsmFo2Iaj1aHNqCOsSeN1wAZt7VKxv85M4YSm5SRZyWr3UJcVQ7n4Cfe9Ons53omvYgBB0UpW/BEGoY/6EbyrXT3CYSLf8Y7kIgCm5CXxw/QwOdLnQqxWUp1m+9X779a7ona3DHGrYTV2CktU+KLXHGGjZx6Y0MzMKErFPmANF0/mFM4RGqcBgmC93aSKXFM+elMnJFan4Q1GSTJpv7bo+gf8MfNfg6SHiHK8IcAw48+/+9Qn82xCNSfS5A5h1qnFq9AAbmwY4Tl/Y2DQwLvCqz0/khYsm0j4UoDzdTJIpfoNaN2RjQfX3UXx4I1L+SayPVY1xPoS9x7qpTRYZDoscOtaBP5SPbuS9D/d4mJRjw6BR0uUM0NTvZWqBnDE45tPizruOaVuuIZBYzhfh0nEcry26GSzyPI6pfxf7Fr2GKarmOAupZcDLZTPz8AYiaNUK2keskACOxtIon3YLuo+uRzIkciR50WiY6A2Eedo5nYilik09Ws7OXYi6R81ZI3GbJnsKsTm3o9/wGLGZt6DOihtsdw0HxmWbNjYN0usJkWjW0znkI0Xq5erSMCs7tNxQFqBtTNbw8+AElldehnX3s3jTpvNAaxHRWICP9nUzs6ic5IUPst+bQqIqQLrSy2G3mgJArVZw+cw8Mmx6XP4wZWlmzhljfLs7nINtye/4c18llyyYQUvYguQNkmDUsnIwjbNO+gWtpKAkSprKS7DuagzbnkIyphKesAJF7lye7y3gsoXTaFLkczw39YU3mxmzH+YVVxWLpi9nOKJCNxBlsgXeG3Bw/uzbUbo7IRogasnmvcF0vg/0R3WYi09Dl16LsmUD0pyf0mupGOXmHVMVUDT7pyh7D8CcnxJRGtjhSWAhkF1YRWjObYjvX4M2OExk3j2kFMksh0anxOfiWdxm/AJd3258KXX8emgu1w4GKUxRk6caYPXU3Tw1OJkV2W5ifUe4rL+IAV+EVQ29nDUxgx0tQwz6wpxWnY5vxKt0MKxGVXAKfkshjzhnc1PtF0jJJYQiGmzATLuLa0pW8+v+mUxNDjJT3MFulfy96RAcWHPnMpxSz0ZfOicP/BGXtZREwOQoIFJ7IYrhVoRtL4BKjzTtekwZcn/tAXUVZdkzEQyJoLUgOdvYGCthBrDXpceRNoVOx0w2RktY0fEQ3eYKer1ROlwSTyeewS9sW9AMHQFRgXPO/WRly1noQ4p8ypLKENKqQFQidWynQcqiClCKItfPLeD59c0M+8JUpJs5b0o2rmCUUFiNIbmS4dAgjxuu5Xs528hy7qBfkhdghsRMJFM6HxfeTTAqcGrTPehG/AmH/fIx/WBPJ5GYhFmr5JRKhyxdkZVCsPYS1N4+NPtl9f/Y5CshIY+yJAtbjxYwsXARuiOfoAOkjMm02KbiCAt8v1RFzZ4/sChhAn+2zufa6J9hUM9m6zWYS0rZN+0B8tdcg75xJQDN1bdA7mKSgO/VprPuSD97OmRyulmr5GdLS8c5cvwjJBg1zPw7shR724f56mg/nkCE6kwrswqT0KoVBHqOcKvvEby6NErrLuZM/xskOfcTGLoe+msgsRB69pMZckPOzG+d26T9+8r6J/Cfg+8aeH2AHHiN8kiBZccjckmSHv6f37UT+K8iEo3x3FfN/PbTQ8wsTOKXK8rHCQJWZ1n5eL+cOanJ/KYnWYnDQonjm5yCiWYn4oaXidV8H+HwSqZW7uF4ZgTg1rRdRNhDSJOAUS2iU8U5PQUpRt7Y0U6PK0h5mpkMW3x/snR+tM1P0ZV/Fklda5mlPMBY8+3J/g34tcm4EyaRd+g5vIUTOZ7xyks0cv/KBlx+WaX/tpPj5c9SVTfaTY8QzZmN2Lefor7PALmMplEq2DyoY0drEIiyr1/B04Xxr4G/fRe6nS9DJIC482UC9iK0ibJya7pNh1WvYnhER6k2y0qKSS4FpJhUXG9cg6ZlLWfkzSV/z4s0r/hgdN652kNY975AIG8RhuZPuXnicta1ZhKTYJJpGGPzRuoUNjRiFJUUZkJRNSCrZa/c1z3aNq9RikxIs4yqZFcqm9GvvIEzy6/HuvolKL8Qi07OEs20DaJ852c4kqoRpDCKzFoMO/4AGZMROraiOPqpbL6dPBNx63PoFjwzur+dUQszP08lJvXwtKBlVmEi91TJ5aElti6U7/0CyZwBSg2K3uc5+bRXgDK0UhD1oQ8QmldD/lyEdQ9jnXE7IGemHKEWhDX3yVyhr36Lwuig4lT5eom1bkS9/reg0iGpjSg3PIJgz4HyFeRaRS4SPkTp6SRizkLfs52bJ24iyTIVgBnaZpJX3c/1GfOxfrkdRCUXljzOwzvkbrd9HS4y7XqSTTE+2NPJuVPkoMGkVXLjvnSae414Iz42KCeSm2zh0VL5msgLHsS640nuTt+BZv9hxGiA3Iw5QD4erYNrhs+hNjEbk1XFA/6biHaZuGPkGCot6RAaKRNHg4g626gkSknsCEI0CIc/ln0hs2dQq2wCasnUBlATIdTfjEKThKhQYg/1YNLkkaCFS1WfyEGX2gAhL1m7HoL0h8CcTlvYRm76NAw7/wCCgLvuWjqiFqoAbyjCw6sOj3be7e1wAW3MKEzEpNNyS8tE8vTl/GVPkE8ttUxPm0i9IGeCo84uhMzJFGmdxEQlYuYkIsMyJzMSlfj8YA8LSmUagT8c5dWtbcwuTsLj7Efp7EAIxEt/orMNV3cLSUkFZIkDctl5BIK3jzT6URIlVeHCPHwAe8fn3GP5AIWzBU9CJYUVQYZ8ITo72ykNxOUdDK4m9nX2kpuaQEGyiT9eMoldrcP4w1EqM6z/I8bQW5oHuPCFrfjDcf7YLQuLuG5eIWYxiCbQj7lvBzfpNiL6B4jVX4du5dWQUjEiiXEdBJzw/bcgc/I/eKcT+E/Gdw286pBN0d5FDr5OAbYAR/5F+3UC/w10OQM8vuYws4sSOdjtYmfb8LjA66KpOaSP/L5gjHbVP0ND0E7l9NtYNeRg4cnLWefPGu0gBGgx1VDdfD+E3Oxb/AaWMSnyxl4vPS45S7Sv0zWOO2ZJcOBc9DAHfYmEay/BkVXIWHwQrISsfLYPaVicEsDihKQRXvmhHhe/nmfh/RYVp2SFaR9ygt8EWjMGSxKh2T9jayiTEkUXJmsyxwsFErJsgS8Uod8T4syJmdjHKES3hq0U1vwA0d1JzOigLWIZzQJpVArmFicTCEdRKURcgRCxkbWIICppyzuLykOvkd/wNP1zfoPblD867xGysJ7yPH/py+Pc8nPY0KQDYtwwrwBn0Efk2AbMwWEIeQk6JjKQESIXGPaFGepp5eKSCK83a7hzYpT9Hc7RwGtNpJxl5ReRve9xItY8VhmXsTwmoVBAh0fCMfFydOt+C0CkbDnh6T9GV38ZoYMf41cYMTWuJqPhOZyVl3DYXE/GyP72uoOj2VFJgi+P9NPrCZKbbGKb38H8Wbej/kxW2ArPvYsdoQwWIPv7GYsWIHVsQmh4Hyl/PlFz5uhx8KusmEtPhQPvyhmZyrMZ9MdwAIfJJi9zOmqVCiHkJRoOcEDKpQLo8wvk5NbhdeTyWHc5P0rZhd6QzZA/gk6r5qWhCi6vvpqEXU8DcHTp63ywTgN4qEy3cNakTHa3yQ/h6+YVMH1EpqJlwEc4KjEpL4V+T5BEo4Yup5+WAR/JZh1d6QuJll1N1n553h0zfk9atpyFq8uxsacwh4c+PUwoGmNKrp37V4x81oATtjwjW0N97zn49E5Y/7ic6TA7iIhqFM52PIseQRvoR7njeUKSCj0QjKnwO/so7HmPQoUaYhG8qQtZXOZg89EuYoISd2o9OyrvprTtVSzRAdQjV3hpYDuGnX/gSOFlaKIesrY9QfncYmAizf0+jGolnlAESZKzQHs7XLQMeEkyabnY0UJBcD/7U+ZwXV43OcHD7AvlyN83n4HUI6soCL0pfz61gcOmZThiEjkJerQqBSv3dY+e59lFSSQaVAx4vKQd/kgW451wCrRsgu69eHPdJAHmUDd0bIecWaCzQMP7GIf2E1OK2PMnscP3KJM/PweFswU0JnZM/DUTiyro6+pgztFfIwadHJlwLY6etSQ3vUVh1iyO0yDsBg3z/gv3ubEIRmTxWJ1aJMseL6W+trVtXNAF8NjqIywuT0WTWc1nZb9i2ebvI/pleZuDhkkUZexC2boO/nSavEHFmWD/dpPzE/h/A9818MoAaiVJcgMIgnAP8KEkSRf8q3bsBP7rsOhUXD27gHd2dTIp106ycXzH41dH+3l6bSMgtzgvKEv9TvPq1UpWvKvBpHXxG6fIpTPGp8JLnOuIaczETBkU9X1CIDgDrUZ+77EdjhqlSLJpjLdkJMpzTVYe//wgqWYNT1+goCZOX2Ke+gABZzMl9lxy+ncRqJ46OnZjxlFMmx6kvuZqbHtfIFqwEFb3QloNsQPv8Xr67dzxSScapZonzs1lwch2KqXIsQE/IJCXZOTVLa2cUZs+Om++0IG49VmkmgsQd/yR3FnxG7dKFJhm6efhHRIzHVEm2LToR7gfvlAYXeMnEHQRMmej3/UCkqUOsuQHfLHQgunj65lU9Qu0ax/hvKm3MH3KcirSLezat59YySnw5a8AiObNwzQi56FXStxtXYmmZxcXTTuT7C330LX8VY5bK03VtmA5/BZRYyrK4SYmhrahUcgraaVSidSyUc6MSDGiBz+mYdKvqDUkECn9Ht61T2DxdIPOhungG+RkLoYRoYqvG6xn2XSkmeWg3YoXDn0k81MEhfywrJVLJxbBh6J7F4KnB9RGhGNfYsiPZ0CNeKFpLaj0EPYh9OzFlCGH8T6vC18whHrfqyCIRNKnER1xHXDoQWx4B0P7V1w16WY0X/wKX9lFWMtOBuCUpG6sa/4qC+5GQ5j2/5kHl/wMg93BsC/EZS9vH81UAiStKGdSfiIpJi1mrWrU0QFgXnEyKSN+mBbnATKa/iZ38kkxiltfoyOzmlTLBDRKBVfNzmdBaQqeQITCFGO8vK+1wJLfgqcHMieBNVs+XmaZ6H7ZngJun/17TnnLTYoxiafnPcwbLUncWwObh40Esq9gYc9GiIYYzl7M3YfzuP/MfL5Xl8kXRzOIaBfw4HtD1KWcTK5V5OaYmTTgQ2YyacrvuGd/CkYV/GjKdA4Ik7kIyLIo+WvNPg5KWTx12MyTRbvYLxaiVSlIU/vI6XoJY/dmnsvrJGnvRwDoShcBhXzkzCGz9GoKdv0agOaSK3lvOJe5I0bVZ9Zl0OsO0uMKkJtowBeK0jzgJzE7gUjtRah6dkHvfqg+F2m4DZ9eDvFjGqsst+Fsg3AAJl+OpE3EEwzjdfaT3/pG/CIMusnt+phh5wQCGhuvpv+UuuxmrtpfxrLMKZyefZA1kdpRR4j/LvZ3Onnw40OsPSyLvF4+M5dLZ+Zh1qq+VTIiHJXocQWZnq4i0/8pSPEmoPzOd1HOuhn+vE5+QVTA9B+C4YQi/f/L+K6BVwoQGvN7aOS1E/i/CB1DPh5ddYRITOJor4fqDCsTxxi/vrurkwNdcunjnV0d3znwKk4xcubEDF7Z3Ep1ppWq9PHlyH7jBDKypyIGnPQmT0YXE0ZNqfs9Ac6sy8ATjGDQKOl0xjNeh7vdfHFAFkG0awU+2NVJTVa8BOpMqKZ0+4PkB110LH4OSR0n/O8KpDLd6MD+8bVEJ5xKl3UimZsvgW3P4z35aV5c5+SHJxXgCkR45svGcZ/15gVFNPd5CEZiJJpU5CfHo712ZRbZqZUIXz6IlDeXTmUWxxlVKf5GJjbdxdL676EeOIgQU9DrrsCgTUAURTy2Eg5Of4QDUj5TQhtxK+OfZdVwGotTZlG75SY8iVV84MzjgqnyeIouimr7c4Rz5iL6+tAd+BuGnGWAXBoVM6pQHnmX7I13QPmZGLTx4NWRmop/wpl8nnA29Z5VJKXlIohys7JdFUSZN5NQ3hwEQUAdC2MWZC5c21AQg8rA8MQf8kpwJldGXqE3oBjVZ7NrBb46W83idyI8OC2KwaiibdhPZqKBXL0XlUZPeNYdRBUatM2fUaCX2++1lhRixlQoXIRgdiD1HSKsS+Z4TtGtTEBvzUFIr4Wgi7DShNUmdzX6gxFETw9H6n+NS5VM5YEH8QXlYCkgaPFWXoXe5sC+8ZdE66+nPXER2SON2cGAn5jGwrtlj1Ec2EOycydOj4+qEhNPrz1KZboFs06FJIFSIbCv3cmTviOkmLTkCF08OCXIbVsN/HqSl0PubqLI3X2KoBORGDvn/JFEzyGSG9/A7R4ePf5HetysbujFGQjT77Expzg57ttny5L/ATjG+6aWppo5+XW5fNzpDHDq2/DTJXJge1bGEKkr75TJ9ZZcrC0f89uaUlJsMwhGY/xqVbxLd3tPlO09UU5qc5Jm1ZOSYOeKDx2jtkLXe9O4c5nMjJymbyN/z/2UqkzU564gY/eL5GXOoFNTjz0pjW2T76fiiytIapKNsPfMeoaMXDmIvyZ5L7lrHwCVnhgKcvc+wk2zMonFqsmw6bnjnX2olSIpJg1fHunHrFNy/pQsMsU+pO3PQu9+QhNOR7XhcYSgi+LsGcBEXBEFBm8fHP5E/kC5s/GkJiNIEOprxNb2Kb6kKnYUXEf9njtJbXmXwwXLidoL2BHO5Te7dXhDEZ7er+Qdy0TOm/LPyfP/CL5QhHve3c/WFrk0GozEeGJNI8lmLT+YmsNJE5JpGqOWD2DSKMlN1EPvTrT7/oqkTyK89BFUn92BRqmE966X/3BkUcC718Ppz8qcrxP4fxLfNfB6GdgiCMLbI7+fBvzxX7FDJ/Dfh0GrJMmkocsZQBAY57cIkDDm968bsLr9Yf644RjbW4Y4e1ImSyriZrO97hAPfnKImCSLkdZl26gviGtJRdw9xA59jKTUErROwqqMq5RolOKoSbYowPSCeFejIdTLW7nv0jV1Dsl9X+BPmQhjzH0SfE0QDRLV2dF3byNWPJ/jHK96bSti734kQxJi/xHSMg9B2Ac6G5quLZxbeRG//LwRu17NtfPiJT+AjY39/GrlQVyBCBdOzSY3wUjCSIYjOdIF3Xvl0kjPPpKicTX9LkU6KfkLZZsYhRrn4sdRauRgUKUQ+SpazrNfNeMOOFlcNpdz8uKCpIVaJ9ahvaDUYnQ1UqqLc17cUQWx2otoxYEJLzbBhz8sr5rdgTAGby9CwAkKFVL3HqSieLfWNp+DR9tPZefmfjKtk7g2sZhzjp8XVEi7X8VdeAZiLISleSURh6wCY9VESHTvR3B3cX5+Nsp9zVTmxJXAv6/fhO6jn7J10S/Q7vkzktlBZ/aDAAxF1KSGfai6tqFSqJHCQYbDSpKAfreHBLUBYbgFjnyCkDcXFfHSzKBkwp5QjHr7i2BOZ7DqOkxq+WEZMjh42HAzb67z4w1FObfsXio1cihoUoQwHfkToqsNplyJom0TJdEQ0fJJALw5lMfBsie4fY2b8uRpzEqbQpFCziokGTW0DPpoGWnAUCtErpqTz28/PczV9SncGH4eQ8NOiqffTvnuX+JNqSUsTgcMvOspQ5H/Bx77JILDWMX3CqqxBVOoQ17oXPryNlrHNHY8eV4NS8fIvHQM+Wju95Ju05M7pvsvEIpxckUqn+zvQaUQWFGdPmrppbWlEXRMZq9pCh86c7jZ/AxRRzWiUoVOHUKjFMcJBIP83QdYua+b2mwbWqUCQZDFhDc1DbCsMo29FBGY8lvKNt5ExsEXCVnzWZ3zI6oMFqIxCaOnRTZ6H4F9cCdez0nYDUl0RS1kGx0cqH+AKCIVm2+lI2YlSxRx+kJcMj2HPk+QSFRiSq4dq15F+5CPsvQs9lffTcXmH6NukMuUQ9N+RqvtJKqAo+oSkof/FKcCDDbRXnw9eRot28J5HCl9mH1ODc+uUXB37S9RKNWYow6KFSI7WgeZX5pCOBpDIQhEYhK9zvEuFf8M4WgMlSJ+vzrU7R4Nusbize3tfL8+mzPqMvGHogz7w8QkCY1SwfwJybIvqHU6nP1nBJ0ddeYksGdD3yFoXCOXF2feAh/dguTtIxQKoPnGu/yLEPaDSv6OeX1evjg8yMoDfShFgXkTUlhYmvKtXZueYJiP93Xz8UhH9eLyFBaXp2LUnCD//5/iOwVekiTdLwjCShhtZrtYkqSd/903FQTBCjyHzKSWgEskSdr4353vBGRk2Q38ckUF6472U5BsZFmlY9z4eVOyMGiUSMBpXxNQXXu4j4c+OwzAuqP9fJJqIj9JDip63QG0KgW+EUHCr3sADqjT6Zv6BO6YlkRVgNQxHK8zq5OYY2jh3d4kzkobIGfMPjnDKiRBQeYnlyLp7Aw7xnf6HAlY2V/5IMdCVqqVPRj8AgkjSaSgyoiqbAWCrw/JkEJUa0fxvWfBnkfg6EZeWtcjd3h6gny0p5uLpsmlOV8wwp82tYwajb+0sYWyNDNnTZIzEwG06PLnyiWBWJSgoOX4GlobdSM620BUQiyCwt1JOBoGNMRiEm9u72B5VRp2g5ojHX14QxEI+UGtIy9RR8gxib8az2Gp713SLWr6PUF8wQiHPQYsMTP5m24DlZ6jU35Oq19DIeAKRNAKCsSKM0Frht6DeMJwPOe4uqGXnR1yINY2HObZr5pZXpWOXqNkn9dCLON0SrbKHK/9lT/lsMdMCeCOaNBlzcH0yQ+xNq0mllZLp66AgpF5+40lpCdNQP/pLaDU4q3/IZkWOXAXFEqCyVVotzwBQLjyPI6FZS6cz+Mkwd2DlDkZYeaP5FLnGGK14O5E1fw5hxf/heTWlWhavuBg6klMLCvGE4yij7lJMSjpRkGOPjCqu9Tr9GNKKkaK+BF8g0hqPViyGPIEcWjUnJ/RR9Gu3xCY/ENmaA6Q5trNEZ0ccPd5gqNBF8gaUx1DPgTgua29nHHKFRjXXEPl1p8gaa0MV10BaLEDh3s9rNwnB0Ttrgi/2wE32eVrZ+uxIa7IG2aNXsPGHpEHJ/tYu79tNPA60HCAXQ2HuX2Lih9Vh5k7IZ3yKjlQHPSG2Ng4wILSFCLRGG/v6hgV1V3XKVKUtYJhpQOb3sKw5RKeOWzk1vIQWXYDl87I5akRygDAjILE0Sx0kV3BCmsjr/XnoVXGWJ7RwscBOXvn8noRnK2j2yn9A/hdA/S6QuAbIrPhWQCOznqM9IYXyDj4R5ryl0DKHDotNTye+xSPfeBFQuKGiU+QYZaPr16tpOFoPxub4gKgZ03MwKBRcrTXTVOPk0p//BoY7Otkv66HquxEqgLbUHTuoCP7NLyaZIoO/4HCrg/QTZrDgDfEXRvjhPif75AXR/c6ZI5acap5nPm2SiFw4/zvlkXa3TbMq1tb2dA4wKzCRM6elEl5uhW18tulLU0aJYIg4PKHeWtnx+i9EKAwOZ6Jp2hR/GdHpfwvsQDMGXSEDewruJMj7T387c/9XDbzGN+rTf/XBjJDx+Cze2DadZBage+Lx0nzK9jcKHfJvr2rk7uWlXLJjG9yzp79sonHVsdFn1c19NA26OemBUX/uv39fwTfWYtLkqQdwI7/ofd9DPhYkqQzBEFQA//n7SYnAMDckmTmliR/61hxqpkfLzZ/65hKIXBGXQbeYASTVoUwZkynUnBadTq97gAWnQqzbvxl86fWBN7ZFQTClKXZeGdafEzbf4DSz76Po+gsLKs+JJrxMYpk+fGuVwpyR5egACmKQhi/in/yWApbm9VEYhJGTTZv1MVvihFJIXMpFBqIRXFpUkksk7lEO5wOWp1bR/9W/Nq99Ov6OGPHD0eSqRruRndsNaHMWRxJT2LSyJgdJ8pYAN+Sx1APN6IPDeAL+wH5xnt+fRYvrj/G6ZkeHla/wZDqevj8CciqJ+pYwHO2G2noC9FuupTJSge3P/ol/Z4Qry43kNq9Fmp/ANEQeYPrkTKmAg40Qli22dGYIWkCBNzYFfFybfRr5nCCICCIx88pGJXxY2pWSajF438H/kAA8wgfRYhF8HjjQphmDQjSSIBtTkPXsQEOvgXTrqf4sysQan8gTyJJKEMuslRyCTsk6gj5XWgGj4LGBEdX4bSWcrzouk05kS+K/sBv3g0wOXUpy8sSSFPI12SR2MGCnp9xatbJDGvTmdLwKw6d9DxQQCgGAc8ghsMrwZCI4O3H55iOJMifPyvWjrJnNxcPXosQGEZy1JIQ7gIKvtUC5viDc1KqmgzfTpBGHqRSlFT3fnrDdYD+Wx/E2pHsQKWyhezDN3JS8nTa6mYyeccdVE6+G5iCe7iftI13UtS3i/w591LV8BDRfgP9yS+T6JBLVp8c6ObjEUK6Ta9iRqGcRa7THCPn06vIsNeQnHkKmSvv4NaKC1FI9fR7gqw/2jdq76VSiLQO+mjs81KbreYyy1bsq3/MWcVXoor4yN3+J+yLnwbKmKjtoPTQE/isxRzNPZ/K3T9nUd8f6WQqA1Ej63Nvx5LWxfWrLVxYfAvT8oN0B3PIA3a0DPOXLXE198e2+jg9OsiZk7KQkMYFXSDTGk6vTUcdHGZpx6OIIScHK35Mdts75B95ATFvNlDG895pLJ31BPcfSKSrT+B3s6p4fyCdq0IS4tf8FI9DpRCRkAVhz5+SOcqrG/KFRoVx/xGa+jxc+tLWUfHdPw208tmBHl6/ahpFKSbOrEunrbuXTR1ywD0nW8uKSXLTxKtb28ZlGxWiwKOrjrCoLGUcZWEc0moIR2M8+MFu3tnVDygAH3e9ux9Jkrhw2v850d4dCNPQ5UIhCpSmmdGpRu7Ru1+DA2/DsXWEK88lafPvSBJE7qh7kR+ukwO+hz49xKKyFNLHmHEf7XWPC+6P4+m1jSyvcvz9z3oC3wn/6yKogiBYgFnARQCSJIUYzx87gX8DJOCNkZKgSaPk+nkFo2NahUimXUfroJdEo+YbvmITHGbyEnRyh58kIY4JbN7qTmJpwekk7v8jhyf9gj2tGs4YiQttWkCtp3nBc6QNbZUDjDGYX5JCplVHVILiVBOqMTdiZcQLsRg0vA9V56MMx8tv0woSeey0XNYeC5JhlKjJjdMRdWoFV01L529bguzojnD3gjQqUuOcNU3IiZBSzpbCa6lwf4EmHDepTUjPI+Bdgn7tvZBShrv8XJITZQ5dMBzD1dfNOfkRvCElqpCT9DeWyqTsgnl81tAN3l66XVrqE6I8+6Vn9Mbf6w7I/I/tL0IsCrUXjR5jpVoHaiOse0huL0wuI1K4fHSfshP0ZFi1tA8H0ChF5hYnIYyEzdlKJ47WDzlW+1MUUghH63sMZstE9nwLRLu/QkouI1BzCdpVtzNBFc8eaAYPIQw24V/yKNr9r4POJu/fwfcRLFlIznaaS64koDBS0vgCyZN/BEBBoomIxQG7X4aWDWBIRKeNN1gMOV2ckRkkbMxnimkAr6cflSIHAK86GUXeTIp3PQlANGc2bo3MzdMoBJSmFCRTKoK7Gym1ApVGx3HzjQOKYiaWn4G468/yXBXfZ38knSygOMVEfrKBxl45cNAoRfRqBTEJarJtCK3rEUQl1F+NsPtVaF1PsPB8+fMkGXlykYmVXQaStAKFumHUIyV7k6OY0IQVOHa9iKPtQ2LWHJQZ1QB0BdQ4M85gUudXTNl0NQgiDfUP4PGbSARW1GagUghsaxlCKYrMLExkRoFcGj0UcaCdcBGpu5/E1r2OqD6Z7aaTmKxQ0TvoZXe7i93tcTNogE6nn1psfOItYlliNUWHZGmQQccsPnNncy5wVMwnc+79tEQT+PFWK2/MvZ8eVQaC1oLXE+TPBwVmFddwel2QmErJh64QuWo5+NjfOczSMfQDUZDlKCRJotv1zfJeMBKjfTiALtnMurKfkye183x/FXPL65lAE5uEcnIBdXAIu3s9ZZYl2NRK7D3rsSoX0ecJYdOqMagV46x/Mm061EqBohQTs4uS2NU2zIbGfmx6NfMmJDO76J+T1jc1DY5+946j2xVkc/MgZ9RlcG9JK5Hg69xr/gFzkv3M734MHL8hGkvD5xni/enNPNGWw4YeBc9P7GCdM4FuV/AfBiOHety8MyY7dxzPfNHEipoMzN9RX+zbsKttmJ++tYeGEf7utPwE7jmllKJUs7yY69kHDe+h2vQ7EEQ2Vf2SO7ZqYYQC4A1F6fcExwVefe7Qt3phhqIx+twh8r99bX8C3xH/DvX5XKAPeFEQhCpgO/BDSZLGmWMJgnAFcAVAVlbWNyb5/z0GmsCaBc5WsP/PeY2/urWV93d3UpZm4cpZeSSM4XLtah3iybVy6via2QXUZMfJ3+FwlO/VpuMPRREExqXSvZEIHUN+vMEofe7AN0qNy1TbcLp78YhmcnQ+IpECFCOr0JmGNuwtH3N44t0UHHiCUPZsjptOe2MKtBhwhkUsGBgMa7CNnVe7l0UOH41+A3UaJ62RZaNjekUU+hrgpLtg/1sY0utGx6KubhYcugerfSnZw9sxD1TASK9TJCZR2vUGT6X1EqibjG7Pk/SkPczx4p1BFUNs+hxXbiViy5cYauP+hSGfC9OO56B4EXh60bRvhMpTQVQTjoS4OXkL+IcIJVei7CyGkBP8g2DOYM7gfjJbbmV65T1UHX6cSfkXc1q7g2hM4sGdIkvqJ6I6LAtBepNr6RMSSAJMei0RUwYqtQkhMAwJ+Qwrkzh+i7fq1UxwWKjIsCIKskTA8YxMosKDmFGDQxyWM4qp5SQoRr5mGhNbc6+m29DDLW9F+ej0F2nTl3HSyLzvC7OpW/gSi98O8aup1zEtQUmq1oLgGyCaNIE9icv4uMdKICYwY/IM0jR58rlT62gy1FKgMSP6BwlaC9mvKuP42bnctg3dB7dwfv1tWLa/hxgL0Zr9IpBMQawRlSLONVFoTVQIjUAVaRYdUs8BBHc33rTpGDrXI2XOIdUsX98ZgUbE3a9AUgkMHUO/5XckTC8H8hjwhkY4VBGCkSi5iUaCoSg/XVJCsknDRt3FzLB/gbj598RqL2GjbjYOlXyEzzDtxbH6h2jKHyDdf5D8Q+/Rk/MHIBOt+xg6ZXwxIJpSsLqPALNxWLQcFZMJaRJQRzpBpaNDTKN0RMdub/swv/igYVSQd1vLIPlJRjLsevyShhZVPsfbQTzGHHpiFsLRGBk2PQXJRo72xhcaSlGgYIQWcNijYchcgql/FwCDpmJaAvJ71utaMX1wG6UaCy8VnoVx9TNoMmcQLp2BN6RgSl4iT6yJl5aqMixMHpHdWFiWypNrGkfvCxqlOLo4KxhbahuBWatkgsNEqknHGy4HV20JE4528TqQk1DArYvkh/yZ5n0krv8r19p2EdAkkHBoHWeWKtCZFgMSJ1c4aB/y09jnoTTNjF2vRiEIxGISu9qGWHdUlm0Y8IZ4fVs7c75D4OUKhL/9dX8Y3D1oNz4MnTv5Vb4PYe9uBF8fNK6ClAncm7GNxA33ck/GQjorplC97T7KrEUEDK8Bid86L8gc2m/flwjhWOxbx74LPMEwd72zbzToAtjQOMDvPj/KY+fUoNDbIbUCGt6TB1U6jkmpeILx+3uKWTMu6ALItOswapR4guPv9UaNkkz7/1kDwwl8R6/G/2EokR2Wn5YkqQbwArd9/Y8kSfqDJEkTJUmamJT0H9Z6GwnB+kfh05/BG5eCp/efbvJdcKjbxd3v7mf90QH+8GXTOF0dgL9ubmFafiLT8hP5y5aWcWMRSeLtnR2s3NfNztYhBCG+2vEEovx1axs724ZZfbCPfu/4FW5zQE/pnl8xedtNNAat+MPxL+tnzgz2z3uB722dQMO8F9njsY6O9QdVuHVpVK+7GuNwA0PieN91e7iL9MMvM6vlSfSuoxgi8exTSGmC9Fr46BbImk5AEV9tru+I4kqoYvb2G8hqe4dGKd7RqFKI6HMmYzrwF5JWXk4gew6OtIzR8dZoAkLpKczffhWKogV0xOJdocf6vQiTLoPBJrBkIabX0twvPwAFQSAWCSJufBzt6p8hNK3BP+k6MDmg+QtahXTCtkImr78CMRYiao+XwB6eqUC5/Tn8NZcRLl6Occ8fSZZkQmtP/wCqxs8QLJlIs29DOPwxyYH4udvdNsxnDT2s3NfNh3u7eWtHB4GwfJM/IOQQMOeh2fY0mu1/wG+fwOERuYimPjc/W+vixrVRIjFY+Lqfr47GhSwP9XiZ93qAUCTGcwfV6Pb+FUllhGWPoWxajWroKM9u7ublLV1c8YmPLw/L27Z2D5Dc8BIxUUXbtPvRdm0ltecrQC5fhIzpSCfdhb13M4rKM5Hqr6EnLJPORVEBu/8KabVQcBIc/ABh5KF0ZCjGFuNJ7Kn8GddEb+FI+c1sVk2m2yVfaxatCKUrGCw5l+jkKxEzJ+MwycG/Vadkis2PUa1AQKDS5MGgFblydj4THUomuT5BDAzRVHUrYmCIya5P0MbkALUjYiJSuIT5269iQuML+HMX0R8d4T46fbDjZbBkytyets2EvTKXyeMaYnbTb1H7umituAFiEebs/SkRZxcA7+7u5Hv5cubIqFFQZ/Wy9nAfACXSUabs+DERXRLthRdg6d3CgqFXiUaDmHUqHltRyMMLLSwpT+XHs1L427lZlDjkcu01CbvIanoVd/oMfMm1FBx+lots+wBYOZxBy7RfIgaGSNn7DGFLNm8lX02HX4kA/HlznP8FsLvdOcqxa+h0j1uMBSMxdrYOIwgCi8pS+MHUbI4npA1qBT9ZXEKpw4I7GKato51bq+Rrsi5FwcV5rtEs2ceKOfhLz8Yw1EBC9zqCWbP4Kvk8fFERdyjC69vbOdrnIcOmZ0frEG/t7CAqSRzucY8GXWOxofGbr30ddr2ar1cxlaKA3aACUwqc9gwkTUBsXCUHXVOuhLqLAJDy5xOwl5Dc/inVe+4FQcQ15Sasjn9cLgxFYqOc2bGYXpBA5Gu6YP8VHOp2j6rzj8WHe7toHfTCthdgzf0giISSyiHk5YzDt3BXnXxeRQHuXFr6jWarDJueny2d8I15f7Z0wjeCtBP4r+PfkfFqB9olSdo88vsbfEvg9R8NpRry5sIbF8Hcn4FufMAhSRIHulwoRYHi1G/nZH0bVAqBKyqV/PVQjHOKBHTK8Z0qlZk2HvjkEBISty0eb3TdMRwYVbTucgbpcQUpGqnQiYLAEydp2Oy0MjvBTevXbloJghx8xBR6bNGBcfyws6wHsa6/j40LLsO48Vlscx/luFaUOTqI48grUH4Gqs6dlEhHgRnxwxQYlKURTCnQvRfNhPgNShN2we6/wJSrYNtzGE6O3ySyVUMku/eDUoMY8VMhjn+gBJy9clu3Qk1osJWQy4VeJ6/iZmkbUa15DOouRrHl90xdmM1x1fsMbRDh03shewZ0bkfh7UGfLZNp/WEJS1KJrN/k7kKq/Qmt6gKKT38O9InU7PsIrVcu5Sr9fUygmb9deQrDvjB+lYJ90x5l9UASaSlhEpMGydY4SASioopwcjkqUyqCpxsW3kdX1DZyBGWOiUIUiMYkFKLs4RkKS2hVYA4Po4m6ofJsEBVow8MYIsNAOtGYNK4bDxi10QHGlXca+oL8xnY6N558FSnFU2hRZPCLr0CS5IenRadCpZDPekyl4Yv0yxETz+aODSpemPMiDVIWK4Jhbn97H69WNSOsuhtKlsH6RxD0CeSfXAHksDOSw/R5dyIe/hicHUhz72SnVMgUwB+JcP22BNKMyTT0+XGHZ9HWEOFv1fI+fxquJDdB5EdbrSzOCDElKcywP4lMoFjRQfaO+yjKPokOeyYT1j9M9pRbgVy8EQGHMQWpbx+RwrlI+3aiTM7BG5E/jyISRNG1A2ovBEDfu5NAuuyWdjDiwDHzDvT9e6F7D9FpN9JirqMCiKhMvJ1wOQWp3+Oa3dk8UFlEQFKSrZQD+cXag9QeuI0J9feRwiA1jb9nb96jQDbbAhmEqu5iTziDV5qNPFaTzVeRMpZEFRD0krHvKbJa1uHNuo05fW9g7xkilPYI6oQsGq3TiNb8kAd7J2PSS1xVs42jhlpSgWJFJxmevfHvV9DJYmMTxzw1DISV3xAGhZEsENA65PvGWOugj0gkBgioBInr5xXiC0VQKUQUonwzCXuG+IX+b6QeW0fazAcpH/yQzMMfssfxByCXpYZD6BrjOtwaTztzFHuBuEF0nztI3xirLqtOjVIhUJ8mMt8R4r7tSgrsCi4rDnFU8c9zCU5/iHMnZ/HJ/m76PSGSTRoWlqbg8o9c/0GXbAY+ukEnBL2gMZGUW0m47vvwmexPEE2uIKls7re8y3gEIzGqMi3EJInmfjmon5JrR0Qg9C0cxO8K5dcJrKOvCygEgR5TGYm6BLYW38qbw/n8WPssap0ZqyOPWxcZmJxrY2K2/VvnOHNiJhl2PVubZf7epFw7U/MSvvVvT+C/hv/1wEuSpG5BENoEQSiWJOkQcBJw4H97P/6tiITA0w2XfALH1kNgGAzxNPVHe7u4/q87UYoiz104kVlfS58f7HLROeynLsuGZYxEhEYKcW3oeS6oKSPp8Gu0Vb4ExLM5bV29VNkjSEBbZzcQN3FONWkoSTVxsNvNkvJUbGM4BwWWGNamB6kwluDY+C5di/7AWJNsvd5A66yH8GAgUfQSkeKhV4NQQH1iEaZVtxKZdiO7whmjvn0DkpHCuoth/SOQP5+wKa5wDoA1A7bsk4/PvDtHbvIyoko9yqypsOkpqDqPkKAd1Q7rDGooMKfD7J8iBV0otPEVmj8YwaaJ4l34MMciCRRr+tjW7yYtRY4yXaoEEvJPQtjyByhahEedPFr+7IiYsddfi/DZnaDUEplyLWFJPk5WrYTY9DkYEmXT6Q2/I3tFLVhrAFAqVVB+Big0CNEwCqWGySMaa4FgEGGokxYxRIYQptgaQJsor46NaqXcYbnzZfANQMWZaArjpem56WF+MOsYdzUWcWNOG8oE7WjzQLl2AOHoKiT/MMQiCKZUynJks3CjRsny6jTe3tmBQaPA5Y9QOIajkvY1M+E+RQrNyhxSgGPKAh7Je5VteaX4YkrmCJs5aMmRz0tU4vkGgT3tAhDhjI8VnDNJpLLXw5bmQcJTE9FUnAl7X5e7QxfeR1iQr+E6GhA3/A4pcwpS8gTErx6kdmk6UEWiUcNfpvWi87axsuQkVoQ+oKeiBote3vazpgDhQBqNQy7+HFCx22VivkEOGqSAC8HTi+WLuzFrzAjREOqoj2A4ikUZQfL2Ixz5lKL2reAfQjI4sCjlh3CJpg/B2Qb734KQB5U9nyK1nN3LiHWg3/QIfYkT6ci4gOpN92GZaALmYdQo2E8+bzUaGPSG+dXBZGqy7Vw/0piSZNYghlycuvc6iIYJGjNIGimbKlUqftRUxZEeLxDhtO2VnDMpE61KQZvTQyAgUji0n+8P/wCiYXoyltDZ46MmAd5oFFjVMJ1hXwQQeEc/jVMFmFEDhXovir2vgS0H8uYg7HgZY9NKMivOxCIZKE41cqg7XsIUBMhLkrORk7NtTE8K8IfdISRJ4spqDT5tAkqlyKZDvby9u5upeQnEJIlITOLljS1Mzk0kgArJUoDq2Jss23YhSBIeezk+Ub7WDJ4W6NgB6XXyoqXxc7S9O4gpL2JqfgI2vYoEo4a8RAP7O12YdUpqsqyYBT9PJr+HpelTEmc8RIlnAyX7nqdv2R8ZK0nzbTDrVPxlSyv1eQlMylEx6A3xypZWHj6zSha8fedq8PXLwq5tW+Dg+5AxEWbcCLv/iuqzO0BUIOmTUXTvgg9vgaUPyQvEv4OaTBsvrm/GrFVyckUqAgJ7OoYpTTOTMZJBkiSJxj4P7kCE/CTjd+J9laSaOKkkidUH+8a9fv7kbLISDNzwqZGCvKd5dqeEOxjGnX0RPp/ABVUpXPtPdBwVosCMgkRmFPz9EuoJ/Pfw78h4AVwPvDLS0dgEXPxv2o9/D5RqqL9a/jmr/hvDu9qcxCSZyLi3fXhc4LW5qZ+bXttNpzPAeVMyueeU8tHOK5+kpsW+lGlbrqOz9DJ2+BLHhFZwUcJeYkOfIyEg2ucCcf6SKIqoFSJLylPpGPKhGLNybHYrSC68gPy11+LLX8KXngzOGzOvOTKAsnsHejToEtKJCvGVc6nQiNC8FimzHsWBd6jNWMjxgK9QPYiw6gmklAqEg+9hSSyEUZYR4OqSOxdtudC5EzHr1NEhRSyA0LgGKbUS4cinqAvjbdwTTcPQuRNpqAlhuA3lhDgZXadRourbhaLhHUoSSxGHjlK4vGZ03BbuRWjZgGTPQ2jdjKU4zitTB4fgwHtIxmSEgBOp+SsCtqmAlUBURSx/GabAMMLRz4gtfYTPAhM4ZWTbaCgAXz4A+fOhcTWx+fePzqvtP4C08yWWShF5ZW3PRcifCbYswpKEz+vB6htAMiRB6yb6Ms7jOM05K9hM/uY7eC57Hvptn9NTexNSdCocV8+q/QFC8xeyPU/2DKIjpbtITMKqFbl2RgZ7ugMsKDLT7YlnFfpcAU6vTccXku2ROob9HF+X6wJdpB59jWUhDzGlDmU0SG/KbKAITzDCnq8Rvw92uTGolayoSUOIHUE6ugpBqYFIEI6tp6ugilRgS6SQWTN+RL8qmVavmtqFJeyjkBpAGQuSo+5D5W3nCu8fUCkVJGj68MTka+2+0k5sxz5k76mnMUHRgWLgCFvMcpbq7f4MLqy7gcSPr0IIDBOpv55T1qSQumMr507OJC3zAuqaVyO4OpDM6ezOvACPS4nDAZ/5S1haexGKLb8HIDjxKj4ayuL7wOZAOqkz72Oj08Zzh3W8Mu83rPcVkwX0uwNcYtpCYsZePq29mDmu9wgrdPQ6s8hOMGIrXcDw4A+xbpSV4N0zfkZaifx9bOz1km7VU5JiJjqiFbW6oZcVNWkMeaMo7JPInxyTGwmqTiVmrWXnoJoaoLHPMxJ0yRj2RegalrtVvwgWs+Tkx9E1fQJ73yA24xbaUuYSjBhx+oOcXOFArehhb4eLBIOaC+qzcfrkktQ5yS3kfXUjFVN+QVgSOOXoTRyb9TCSVMaAJ8i0/AQ+2ttFTAK9WsGKmnS6nQH63BHc1iVkJX2Epk/OtrXX3sLaASvTgYcGpnLr9FtQt28ETw/haTfx5PAUzg9J5CYa+PnyMp79qonPD/YyJdfOpTNzsRk0EIqht6ehPNjPaTsuhViEmD4Jm/WbHrRfRzAc5bTqdN7fLZt6qxUiZ9Rm4AtHwJgByx+HxtWywryzE3a8JOtwAUFTBhqthY2ld7LNn8YVPb8gZi9Bp/nHlYkks4ZLZ+Ty2rY2Vh3oRadWsLgshdOq0xAEgUFPkKe/aOTF9ceIxCTyk43cd2oZU/P/cdCjUSm4/eQJ2Awa3trRjlIUuaA+i8tm5hIMR9nROsx7Q/Hr4eMWAIn5zsDfnfME/vX4twRekiTtAib+O977/w+YVZTIK5tb0KsV1OePT+3ubnfSOfKl+WB3F1fPzidzxEvMoY+R4VxN84wHSW/6G9OsQ4zNavlSp5C34R4AmmaMr+76giHK0s0M+8JMzk2g1+VnwghvpFDnIeHIH/FPvRndwbdZUXmQsRkvRdiDyXUEk0qH36siMoY6eCSSTPX8X/Kms4DTLUfYG0geJQ2HLAVI9VcjfnAjUnIZHnvFqD4VgGRKQ5rzU2KiClGKMYRuNFuGoIC6ixDMaeBsR1LEM39rnaksqT4P8cObkAyJeDJnYhozb6jgZPR7XkXR/DnRpY8yqM3k+FEeVKeSOPlyBCmGJChwaRxYR8Yi2kTIm0uXqRR7dACFFEZrkGcWiWBsXonUsgGypyN+eDMLT39p9Pgr9SaoOg92vQKZUxCt8exep1/EkTUZIewHhRpJa6HTJ5FmA5NOR7OQTGvlHayJVHKu9BEBZfwmv55qdBMuJe3As4Qsuaw1LeNso5ytUgox+Ooh0CfKcgkd21Gd8gcAUkwazlavRxpuRWuZzdLGx2gtuWz0vKZatTzwyeHR95lekEDSiMhsrzqLjcW3MXPzFQBsmfI4LWIu1YBZq2JGQcI4/s20ggRe3tTC2zs7eagwhGBMITbndoSmz8E/TJ5OLmPlqIeQPn0YeyyCQZeC6DqKfYncpWjXKwl17Ud18A1UabXQuYOAOgXrSAbJFupE2PMqFZ27EIaakYypVOXMBSZwSVo71i8eBZUeyZSKcvdfeXtGHtXvp1CTGGJp4Gk56EqagNDXQM3hRzk2TQ6MqxTNKLY+Q9Caj8bbibjuQSbNl3Wxlib0kvLmzcy3llDumIFl1e9ZPONuYCYOXYRg3xZsR/7Gis6NqIcO48yYg65Wlrc1H/sINj2AZEpDCAyT+PktkJoF2VPJTtDz7Lrx6uizi5LIthnI0nRhWvsQYvcupOrvI+x7E4f0OivOeAPIoyzN/A1bm+wEOaNSru5CWP1bcDYSNaSg+OoB9KV92BeU4A+JvLaljcIUEzfMK8AVCPPkmiP8bKn8WQX/EGJCISfvuxFJUCA4qsDThyAIKBUiH+zpGn0/XyjK+7s7OX9yFg5dCOX+5+SgS2uBgJP8DT9h6ayngVLOc3Si/uoZiPhBoUI1+HtOrbFi087nQKeLW9/YMyrfsL5xgCN9Ht671oJNr+bZ8MlcnrIGXc92AHaU30Gfe7yP7Lch3abnwU8Oj5p6S8hVhuXHtQ2zp8oG1qICkoth4b3yz8Df+rLxFD7L49skfKEozrK76Oy08puYctw95tswvzSV4lQzhye6USsFStMso81P7+3u5NkxiviNvR6u+csOPrphJo6vZZ+/jvxkEw+cXsn1cwsQRWGcGfjsoiRe+Rp3DyBnjJjvCfzv49+V8TqBf4CZhUl8fsscFAKjD7vjqMqw4LBo6XIGWFrhIMUc/1K2ueGvwqW8ttbDwrzbmT5g55wxou2G7i10Jc1AEkT03ZuhKJ6SH/JH2dPuJNOu5/09nUzLj9f9dwxpqKi+HsfqGwhNvIK3XcXjMl6i2QF9ByHgRFxyGuFIPONlwIeqaRVL3W9CYjYJOXHrlPRIO9Kmp5HKViC0bMA8uBeI+zE6A2EsLV8RjsSIpdWM446h1EDABRt+B1Ovl7lgsRiIIrPsAwi7dyOVroCIH2PPDiiaDcilRu3Rj0CpQcqdjbj+Yewnl3I8+2cN9SJsfALJmILg6sS45MHRtwyEAwS9gyTvvgulQkFf8QUIMXk1GYlJRBMnoMz3gasDaep1NPhtVI9sq454YfdfkfLnIzStlhXYj48FBqB9m0zajwQgdzbR7GEgmx6Xnw/6UklU23n1CNTUL2RLr47JI9tOE3aTFu3Alz0PfdTDnODnuHylmPVaYrEYzP4JrPyx/McnP0Q0FsUbDLP7WD8ZETdZDU9SpP0zMUkgVhC3Xi21S6xd7ufh5gzOzxgiJPjIsMo3dIu/hUkNvyKsSyam1FKz9z5iM7KBTNKsOpbka1maaeaF/THumKJkSKPl5jf3A9AUMpNffjriF7+G3FnEMuvZ4rIxuKWVNYfhzvmPk/7BeSj9/fQt+j1/6cngp0DXcJCcksXQsR46d8gE/LRqul0h0hPUrGIK82svRtj+AgCxeXfyRbSSxYBbn4m14kwi1hw6Q0YyXdtxq+WH7qv7gtwwfzYxQwrvW87jFOdfiCaWYLLLOcVWHCTmL+Np8RxqLW5qvV/RLdkoAVKKJtM7+1ckr7mVgsF9+DLn4M4/BRvQG9LwgnQOd1m2oB46DBoTr9iuY2rIJAf51mzInIKw5EG5rLX+d2BKHbnOolw5O48/bWzBF4pSnmamMsPCoD9ITkIGwclXoz78IcLOlyGlgkjNhdgy5QBpXlEyx/q9o4HvwtIU5haPyFQMK7DrMziSeQYfRydy2eDDdCrSCfSHKXBYWVSeyru7OvnisKxqvrQybbTUOKBOJzca+v/YO+8wO+qy/X9m5vS255w923vL9mxL7z2EEnoTkA4q2MACCigCIqIiCoggICAioFJDCyWEkN7bJtndbO/99Drz+2NOzu4Cr/oW31d/V+7r4mJ3J9/vmZnznZlnnud+7hux4kyEWAR5rJMxYx6KonymyxnUbr3RQISKXAejzjR8zir+kHUb8+WdTOt5lUyXHQCH3QkzrmRLrIz+iIG1+t04neloNBp2to18RqF/wB1iX+cY+XaRNb6/qkFXXOy47uDd7LJmQiIf/PmYU+jkzLpM/rB1IiC5ekEBM+Jd3pGYzLbjI+zpHMOs0zC/2EVpuhVZVnhxZycHuieO93eHAMa4stfNzIJk+t1BPjo6SNuwj2yHicWlKWTZJ+7ROU7TlMAIICYrvLCzk09j1Bdhf+f43w28AERRIO9zgqkLZuTw1sFeRnyRSX/LpiH/72cGT+Kfh5OB178ghrxB1h/qQ6eRWFOVPqXWP7vQxROXz6B3PEh97lSl5XBUZu+QwLKyVPwxGd+nWoF/P1rJYX8qIFAxnMx3J20rTDEjKwpvH+zjrNpMchwTF3uuMURa/0F887+Lyd/DmqR2iHvZAeijHuT6K5BFHZrwOAbtxP5m6MIo9myshUtQRppJN07cSP3WLAxzbkD09iHnzsNvzWdy30+bqYq6jjsxBsdoKf0ifnlS503IC7EQrLwbho7CeBfs+QOklGLsPwTtnxApPwdt52aUaHBK0Nbrmk/WrBSEgSOEqi7kE38mJ4qR26PTmDttDeKBF5HL17JHKUsIqIqiFikwgqZ0FUT86IUQ8gm10mgMiRg0vQOBUYTkIkozJ7qNdspl1C6+Hd3hl4gu+A7HDDWJMziuSyO56hy1yxVQyk5TzYMBqxau067D2LaBRaVnUfzxg+Sc8SIneCxWnYQ81MLB6juo7XgKswYsRvU8GQQFYedTKn9QjiHsfgbj0h/w5Rf2sv7wAN+on87XzCmIvkF6p11Gl2FaIlBcIB1C8+7VfG/6V0jd+ieU3HlIzAFMhI3pdOafy1a5EndU5DTdXtwn9LaUMGeO/p5Y3yEKp3+Z+s234J9/K0ZtBv5wDEtoEOHDe9QuwAMvIhhdOJYu4doXD/DUGhMZR5+Gui8iyzFczS9yRZUDqCBTH0Lf+p7auGBOQejZjW1oD/pStcS8TNqLsO+Pqt5YcAxx22+YtzAZyCA10Izw8c+RDEnkJJcgtG0k45SfAtkogsJvfEvY0VnM5i2D/Dn7dOw+Bw/OUc/h3nA2j7ivITnJxqH+KL8Yc/Gt6Wr5R0OUVGHiOzZGR8m1qAVZAyEu03yAzj+gGoJHQ5weeJkI5YADsurg4hfAGM/xZtYnfrYatfzqg2Yun5ePRhRo7HGzpWWY6xcXQjSE2LsHhptUDtJIK8LRN4iVrkEy2tnRPkrHSCChubW7Y5Rd7aPMK07hWNDGW8qX2H9MossdobPoG+w4IvFArYTLomdBkYsxb5BgTO12K00xMTNffQGrih5A7NoOY20gSIieXsqLdiMIy8iO3yuKUy3kOk0c6BrHHYyQkWRgIChwe99Szp+xioERG1vN+ew2zUcYSuayYgh7BmHLQ2TOuYskSzLiJ79Fnv0dlFgEzX9AlNeIAgYlglUeIWp0sa7y55R5t1Pa8iQu7VR9ro4RP+FojPxkc2I+s17L908t55SqdLpGAuQlm6jPdSRsc17Y0cltrxxMzGEzanj6ylnU5tjRTZI7mQxBEBj2hrj5xb1Tsr01OUn85pIGMu3/cfAkoJZnP/dYpc8Xkf1HUZNjZ/3lObzVbaDfE2ZJZoyyrGTMupOP/v9LnDz7/4J4aWcX9719FABZlrl4dt6U7RWZSVRkJn1mnMOsI8mo5a2DfTjNOs6ty5qyPd2VwnN71Hb3ZQ1TiaBHez0JLZhX9vZwek0mJXFh0UBMwjfSh7n1aRRRQ2fS0il6WyNRHWk7HgNBYnTWtzFMul8qsahqgOv/I6RPJ5Z9RmJbT3cnhU3vQttGNTBafu+Ufcr17Mcz/TL8koNM9x68rgmfRyQdSiyKsOHHKNMvVIVK37wJBIlQw5fQ1V6O7v3bwOxicPr1nND7E0UBW6gHn3uEbk0RReNt5KbV0jnqJ8dhIodexCNv0LngPrJ33ENG/rmcqIrbxKDavbfrKVAUzItvYTgunREVJJThFgSTE4qWwb4/MVhwQcJg2+k7hm7jPfTM+j7p23+JdZYLmA+ASaMgDDQSrLsKTSyI1LUDQ/YKACJI+ErOxWazU7z3D0TO/T27AyWcaF4/GkzCJWmZteES0JroKLgQmydIqs2IR7Rgz54BpnghNTDKsGJh/eEBSpJ1XJ9xFFKuYiSokJWcSqrpGKCmSDXTVuGffiXp+x8Bg53Rebfg0Klv6k0jMVqSL+JInw8ZhfXJlQRGFVYBw2GRbsd8ph/+I7M3XUnUlssR8vjS4hx+sf4YVqsFqi+EAy+o5Pol32NkRH1QaYQYDDVD83uqaKwSQylXz+8hj4EZjhK009YgGKwo3gGC1jy6PDIlZlTOWFol0TlfRRpqhL4DicaHDcFSVi35HuL629TAbfpFvDZagMsicM2CAgpjraya7uGLY1auzuvnmM/LjtZc5hWncHpNBp5QhOYBH3qdxDmziphdGM8GDx2Fj3+BN285wxlLyNt2B3Lze4gp08i0m4kUlyJnf5eXfA2cZztIlqhBdk16tTAmfe7PK8rS2Ncxym/iyuGpFj23nV6ORa/FPTSAOTiGMHAYRlshEkDMmc34cDd2RzY72obpGPHTMTLRhXh4krDmCzs6E9phr7XEuHBGBnPiPKLlhiMszNjB9rQLqYweJmn8Y0ThS4CG41EXVSeaIgAqzqJdTqM4KjOnMJlvrijh7UN9bGoaYka+g7U1mRSmWFh/uI93jrlRq9YTAckls9V9ag9bcWktqgE8gCjRLqcS8ISZXeikLEVP62iEUFTGaZIoclmoy7PjC0W5efRsFhau5kebtBQ7F3Fd1Ww6xkv4FqqK/e8+Ps7vPm4lFJVZU5XOzaumURxvIDHqNAnB2snoHPHz4zcbp/zNHYjy0s5OanPs1OfZ2dUx1cuxPtdONCbzSfPQZyQu9nWOs7FpkIvilmRh9xAtPi1aSaTIEkEwORFFgYtm5rKrfWzK2IJkM7U59s/s438KndtJfuELXLr6XqhapMrvNFlg1d1gPtmh+H+F/wsdr5P4O5isl+P/T2i8eIJRPm5SO65GfGF6P0WgNOkkzq3P4pz6LEzaqV99WpKeE4LzqVY9SYaJmDwmavBZ8hD9gwQMqQS19iljG/0q50iM+GgMpxCd1B6tkxRVLiMwCoYkDOJExqsnaqPbWgkhN1G9nX3h7Cnz2uRRDKFxTDoN+tEmLMKkt1k5oj54ZlwJvftUexpJD9EgUnIRmqOvqqT8oBune6JpVhIFTP5uDN528pLNiMfe5lhbF2c//Am720dQtHpiM6+lLeYkVn8VaCeybIqgQdFZVHV5UYMiGRAl9Vj1WpFxezkklxAdaCIy92uMRCfKxLvF6bw18ylWbK7gxfJfscs44aukjXpQjn+EqNEhREMweAQhpHaXGQmR0/I8YssHKDOvRfvalzlduysxdra5Dym+j4rOTKHYT1I84WgUIiiWNIgEIRJAMadgEtSHbmGyHkPvdoT9L6rK8m/fospVxNF8YCv6Y6+o2ZrgGP6Db6nduKjlb6f3GG09fRzqGMDlO0aqVd0HOabg1yQRk+KmvPoU/IKV6xYV8vy1c5DkKLSsV5X65aja1SupYzd6Mtld/i2IBhH9Q7TWfpvXfarsiUGnpUNfguLpg/0vgqDhmJyFMe6BNBoEGq6m48guQu5hhOxZeOKdc7NNnYjHP1QPTBAQWj9ibZab6qwkPmlsZ37rr6n86HremrGX5Xu/weW+J7FL6nlq7PXw2MZWPjgygD8UZV/XOD99+yhv7O+hWSxgXc1D3Ba5mrXbpvHBjN/ygVHtGo35R9HseQbx/Ts5N/YG0vs/QNz8oNowMgn97iAD7iBv7Ovh5hf38qPXD7P1+BAXWfbw3OkmvrW8gJfmdSCNqfyfrrCFd2znITtLVPNjUaK96qts8qucwcnUgxM44YIwt8jFPWdWcensXE6pTOfGZUVctyjeIesfQXnvTnQb7qJq/09wvHYF4gd3qdcW0Ku4iHVsT8wZ69xODyloNCKdo34e/rCFxl4P4ZjM5pZh/rC1HU8wgsusR/85tksOk7pP9xx00lz19cTf+6ZdxrcO5uANyRTZNbxcs4tXV4wzNz+J1+c283RDC06jliFPmA/bI/xolzpP80iM72zR0D2m2mm9treHhz9sSZQq3zrYx8/fPUY09rfFSvvdQUJRmSLnRNa+JFnHttZRolGZA93jnN+QTZbdiEmnGmTbDFr63EF6xgOfO2f3qPp3756/EHrpWp5Y9zEff/Qe0afPwX9cVVU6dXoGPzyjQtUSA1ZXpPGri+umCGD/l9C1U5XGePk6+OMFqpBq07sw/tnS5kn87+FkxutfEOfUZROVFfQakVOrPstX8IejeINRUqz6Kb6DNoOGM2szeXVvD4Uu82cUhj9qGuLNA+qNf01VOufPnHAEsOpFvn9qOYFwDKNWnFLelKMRAn4vrzQ8Q01oJ5HAVMG+crOXY9O/g1tMokw/TJJxgug+EtJiTsqBnJko3gF6gzpOvGca5SDJZgMb5j1NjXCcbMNUraCgowxr+8doOzYSXXAzg4qVE5Q1RdQhSHrY8jAUr1ADu9nXQ0YN4rH3VOmGvgMo9hwEx4T8QkyW8aU04Nz9FNKRN4gu+BaP7ZYY8oZ4+1A/VbZkjO2HWdj9ICMZi9htOj0hyDEejCB370Ws/yJ4BwgPHidUqAZeoijRFzbhS1vKXzS5XBvdRXdQlyjdDXmDWOUoGkmPVpDpGpkwanh/JJXzltyCbt/zYEkjXH81O8csnJoLAfSYipajOfYmwkc/Qak6n15NTkLHKxAT0A8eVfXMmt8n5h3EHVZIMYIix9SAdM8zanZp1pfQiqqpb7LFRLRgOZrWjRg/+hHkL2JcciWaDIZ8EdJd1bzk+grzAxsIB2P0d45SX5BGsdhD1YEbmZF1KiGNhdK9z3Jo1Z+APEY9birHNiAXr+KgsY4a+QilwT0YtDOZW5RM82YLRaYUhKpzwdOPHz1mm4OiVD/zbEPUbf8hstFJxJhC4Y4fsXRVEVBMlSOGZuPTMNpKYPEdGD/5KdNtGWBVu2CfGyzg3MFHKOx4FYCP6x+kUbFwXana/MF4B9R9EZKLYfMvEYJuPjyqtuDvWnE1C0YbSd16N7I5lYHaG9Ga1JeJ9w6rQrb1uXZ6xoNsjL/YPLW5jW+tmsaYUI4tVWa1M8Z+XSGN+4dZUVvMWCCMs/JsGG9Hs/1R0Jlh7o14Q1EcwIgnyJ93d7O/axy7SYs7GOWN/T2qjZFGYfqOmwhZc0jPOo28ww9jr7qctv4qcs0y9v6/II40EbNkIHl7cez8JQ2nPgxkMr8omY+bBhMm8MlmHXW59vhFo7BS3MbKOQWQVgeHX4l7VFaqYr7ZM5C8fdgb1YYGZlyNN6JgARp07Ujj7bTVfpuYqKNo9z3USWpGbnf7KOFPBTQHe9w09rqpzXFwfkP2FHHWzCQD1dlqhu8nVV1M+/gnKk9L1JJ+5Pc8OrOQLPsC6N2NcfN9lAkiD1V8keRPnlDXc8Fsshz5uCy6z1j/VMXNwv+6u4tP462DfbQN+xJZr89DjsPEb+Z5qfB8ws36U1iYFuZi+RW2Zl+FViuR4zDx0q4u6nPtlKRZ2Hp8BEVRuP30Ckw67+fOWeAyExrtQbP5lxgG93Nbmg9TWydaXw/BfS9AXj1mnZYr5hdwRm0m/lCUjCTjf1hq/U9hxlUQ8sCGH0PvXnUdXvwnyKz97899Ev9lnAy8/gVRkGLmu58SOD2BzhE/T29uo2cswOJpKVw4ayJ40mtFUsx6zq3PQhIEDJ8SUC1OtXBqnPtR8imbD4tez/5uD61DfuYXJTPZJjsoGLm8aSEdo0EcpnlcasmKF8lU6GJ+UoIdJOls6CJ6wtEYurhJq4KCMt6D0r4JOWc+hdFm2HccbBlUjh5CavmAgkzQd7yJ+Kkg0zK0ByJ+SJ+OdPDPlC6bCfGwTYgFwdMFhiS1I83sgrpLQWciYsxA+9r1kFmD0Pg6YsmqxJxaScTub1Pn1ZqQBg9z17xFXPxGCLNOIk1yY/O0gNaI2dNKujRhxeHDxFjBqbj2/RYsKfSWrkIX57PphBjTIkfA28eXimzo9m9lXsYMQG0mWGNuomDz1ZROv4nCg4/QM/dOThD6T3d2Ir1yB2TUwWgr2m0PMXt1GZCFUVKQRloQwl4QRITBwySXTDgdBHVOlBlXIWx9GGHaGiKuSgzxcx+WBQxH1qlivYrKPwuk1PP7K2dyoGsMZXw7Qkg9PmW8g+ik73zdSDbPiDfz5lYfNWnLkAUdd9Sr8x4IJCNVfJOqPXeAonCs5hZ2+lKoBPQaCfxDKMON+POXoBx8FXHmxFpuCSeRmz0H3fbHwZFPf/mXiWjMPH5ZA02d/fQUX8jmaAWtfh1XZG+hXclgGuDz+0hKr4LkYnRmB0rDlWCwEwxHCUUEZqTEcGnzoQOwpFNoDjCgU4PiTyKlrJx/M5rOLbDnWeTVP2V3OBsYYVGugblsQQyOASAGx8ge20Fn+nTAhjWe+c20G9m9f2q26s+7uvj2TA0/2x6kdSTMvUvMmPLU8r4sGVAkLUIw/pISCUDEjw8TDuCV/b385O0jnEgOW/Qa1lRlsO5AL7dt11A+5x6Kt9xC0fjDeJ3VvGU5mzmiiMlswpdWzlBwNY+Zr+N84UNcyghCPFB0mnXcsqaMfncIURBwWbWJbCRdO+GlK4jZsnFXXYFj812QtxAueo5+d5D0pGz1BeYEZPUFzwI8F5hH1azH+eG+JMKywo9nPc6hcDlfkeWERdWnYdBKNA142N4+wjdWlOD2R9BqRLyhKMf6vKyuBEQtSDqOzLkPt5jEjC03otEbGPFHCBiqGK67j9m7vkXygSdAY+CD2gepNhWQatHz6Dl5NB09xPe266hIlrilPkZBhco1dEzSNzwBvUb8XNPzyUiTxlne9jOkoaM8kD+Os2cvBncrK7IqgLlcPCuXTc2D7I53jgoC3HlGJUWpFlKses6uy+TlPROejMvLUllY4uLoeJD37N/mS5G7sPerWa7e7FO5Z+gU7goqOOK8+GSznmTz52e5YrLCmD+MRa9J8NH+LrwD0L1z4vdIQM1iZs8A4b/HHzuJ/zpOBl7/Zvjo2AC/i7eaH+51s7g0hfR410soqiAjk+8yY9RIeD5Frh/0hBJt35dMCtgADvaM88SmNgA2NQ2Rm2yiMF19M4zGZC6alcexfi8ui5Y029Sb2na5jNXNP4Kwh4+XvMg0f5i0JHVp6c0WhFlXIQweQUitJBYG3rgB5BjRZffCzKvJ23QvsaIVBJxTLSqU9BqEHU9A1w4440FaQraEBomiMSAULYdYFEXSIYsGxDgHaUCXTf6MK2H97ShmF5GMBk7ssT8cwyDqEBfcpNr59B+kN2bklEoLZ9ZlMdjURyhvMS/pT+f00DomV2SzbBrsrZ3snfVTcmJdZEpj+AzqDXDYr5DhmoYm7EG/72mUouUM4Epw4Xr0hWTP+SqFW35GrPxsRhzVCWmMsYgO09yvIrx/p/qH03/JUNRIMpCkF5HlGErJKgRHAUrHVjSTyp/a4DA0f0DnmqfJaHwKYfQ40WgU0OFTdFjzFyJojepN1l6AN6phzB+i0A6atiYoWAxlp8HmX+FQJjKZZ+f6yVTWYypbwsWOo7hcqfTFNcCKbRHKY1GYeR1EAhQ5DXjtateUyWzGVDgXqfl15g58BcVZSJJrIqCeY+pFt/UVmpb+ltzuN8jrWcc7oSquemacLy8u4nv75zAc78D6s2Up5xt1rASO+czMSMpFfO8OpLAPxZyCsvxOtnV5+cFrh3hzaT/6vp34zn4aw2gTmQNbWJJbDxSTLQwgvPcDBnNXMV56HcWvfonsVY9SnpFGKBYk2teIxpKKUHEWyuFXUAYasdSo3+uZtRnUadrY6BOpSxU5IzfMj3aqa/vm6RHWtPyExfXLaDdWUrHnO4w0fBUoQRMNIBx+FUVrQlj+A9j2W9j/AuZsNUO37fgwkwXLJ3vi2bQCVmUi4DfEPCghHxpJw64uD1/bXspZpfV0Bow8rT+T1t4RTm0Nc0kaHOge5+1DfbQMqhnVykwbp1VnsKQsjRF7BZ5ZPyBv2w9wfPIjIsZUWqffzDSDDW9wBA6/qpbwZ14DLR/AvucJZKvaeVva3fy8xQyo+3nlRjN1uW5uXCVSkWElM8mQkLkBOKUyjbJ0G62DXlaXp9E65MMXiqLXSKRYVS4qwF895RTUPM2PPowRisa4ffbj9ASzuEoU2dc+QFFkkiacHEUIu9nfOcryPB0zjvychmNvs+jCJ0jq+hDLJ49B9nPgXMWFM3LYcHSqqOg1CwvIdf4dGQVLGtI5jyE//wUy214GIFZ1AfqGywCoz3Pw5y/N48Mjg3hCEWbmO2mId0PajFp+tLaKU6szaRv2ke804Q1H+cofdtM9FuCuWXp0vRNZMX3UTYpF5j8Qn5+Cne0jPLmpjY+ODlCVncR1CwtZXv4fC7YmsP0xtbRoSobKc2DH4/DWt8Eet7k6if8TnAy8/s1gnPSmE5NVccUTiEZjNA34+LipHZdFx4/WTlVwlifd6aPK1NKAOOntR1YUYOLfGrUi7mCEEW8IAShImXqnqI0dJKhzErbkUz7+MRbDosS21NggwutfV21r3v4O1tU/iX+IehPWbfs1sqMIaf+fyHMUQ6I4B0LffhRRhJRyaHyD/EWzATWjICgywsAR6NiMULQcUZl4cCUHOlSh07QqhNF2tIMHAVUI1ajTIPhGoPldFL0R9MksKhU5c2E9kijQ1gghUzoWg5GIlI4nOnFeoiE/sXCA4mNPYpD9eLIXE4mT6+0mEXGwERpfV29q+17AsXxCoHameBTtUCPKgm8iDR6hPNLICekMQZHhyBvqzTEahOb1iHFz7kAMxqJGMoabifQcQsyqoT1g4EQO6YGuCory7uXOv3i4vuZ6mtvM/GKeelnb8KqK69GAykszOjClzmbhrz+hJt3Ic7X5aAzJNAVdVNZfTp9sSzQDJAW7SR/fx73+DWjdfobkU8goVK1RymhHPPQXlKwZoDUi7v0D0xYVA9ORgiOIwdGE7pEgCOjCE1kUNxaSKs6iYM99aExJ+DNmsbPDg6xA+4g/EXQBDHkjhCLqOk2XxlXemxCfV5QgNM5bR1tpHw4QDIUwd+7ANNSE4BtCSZ9OOC5rcjiaQ0v1r3juiMLhQ3DfvGcZiJTx5BUZfHhkgG7hMgqNZlVGpPpCGtPWkoT6MlPv+Yj6Xdcyf8WDxJSdpDS/ijDjAe7cqaUiWUCIVmM5+lcqfY9BxZnoZZUbFpFlKFyEULxC5cbVXQbIqsQHJHw6Pw/3zoe0jffjddXSlnUaVft/zFr5PUKapUSiCv2eKL/ZMQ5MBMorYup8fe5gIugCONTjTnQmvnN4kJKgkFD2k0Ut29vdGAt8mPValPRayG6AWBRyZkPxCkRJE/8eP7ufiqI2/+zuGKMqK4n6PAeeYJQko5Z+d4CD3WNk2I0cH/Kz7sBEttBu0vLdU0oBGPGHeWzXRLnwzq1RZuS5cZr1zNQ0k7v/R6Az01JxI0X7f8bSg9+jvbQGdJWQWoaw/09kvXKuOtiWDRY1I76yIo1HLqnnxR2dDPtCnNuQw5k1mfxDECXESS83ks4Ik7oZsxwmLp2b93kjsRq1CX2wN/b38M0XVI7cFyr1LDxwKxpvD0O5p2L0tOLs28S3pxdi0i3/3LlOoGXAw1W/35GwNNp2fISdbaM8e/Us5v0dgVVKVkLffrDnwrG3oepc9YUzq+FvjzuJfypOBl7/ZjitOpNRf4TWIZ9q7TMppT7oCyfI9UPeMC1Dviljsx1GVsVvCrmfMjpNs+n5wqxcmge8LJrmwjQpwBMEgUc/Oo7NoMEXjpHtmKot9o6vmNH0OxgOaSiKKKwKRMjQq/sV0VjRLbkFofl9WPxdoiE/ulPuA1sm4e5G/DXX4Hjry0RTqtinqUroUwGqbcy8b0JwDMWRR1/EyuTbjFKwCGHRt1E6t6JMejIMKUlYy09TSeWSDsWaliiixWIykqsYIm4E/xBKagUDshVX3DW31OwnZcefODv0iGoKvawqMW+vX6DUkY0+qxoUGaNgoNMvk5EMihJDSC5UPQijftAnkSROMhOXNCj9hxDaPlZLhpMU8Q2SAhk1qsBq2AfefkyS+oAe8sdojbjozb6Md/xlXK7dQJNvIvCqy7fzkzdVHtKTB2N879QsdBr1WKKKRnVIOKHjtfgWhgLqA3pfX4BbW2uZnqphV5+BGouFUX0G34vP647pkSNBtHlzVEK43sygL0ou8IE7m7WuMjS7f6+e0+LVvDueyTmAX9Fj7zuIYHJB7SWw51miQR8DY34y7CZGIxLZtiw0Y8dByUVJKcd7XP3MfneQL9Za+WujH384xoWV5kQHoU5SoOMT0Bqg9guqdMjgEZxmdcV8YXs+b9VfgbhDFYj1zr6Jt0cyuBIY9Ib42YaJJpUbN8BFM71clWSkMlkkbddfITTEgZk/oXJ4PYXdr9GSXkOeywKp5SjJJaS8e4M6b+Ul2DOKefaqNIRwqyofklIGhYth97OEFt2FBegJaDFqnJjEKK+MFrDW0YaiCBzxGpmPavWy0D7Mj3coOAwC11YqBO1WqrJsHAQCtb9i64iFP+/X8puZD/HeaBrnusPYTVqWlKbywZGJcnOu00RKnIQ9uZvxBEbiRtfTaaZy/w+JmNLoLLyIwoMPcvbgbzg6WENNlgUkDaDQFnWSK0QQAadFvdanZyfxyac69mYXOBBFkbZhPwtN7ewf1/NBu4ZvV/k4ptVzpFc11n7nUN+UcWP+CM0DXh58/xh6jURRioWWwYlM0IFuVY4ilDGD5tl3M27M5dn+XL4yP4uAoiEjs0LV8Wu4Co68CV1x0v/qeyAzbtEliZxancGp1RkoijKFC/s34e2Hv16vaupVnAVdu1Tl+uRimP+1f2wOVPufF3ZMENhfaAyzYNa3qPd8wMvOa4iYBrnO9QLCzOtA+tvWQJtbRiZ8JOOIyQofHR38+4FX4WKV4/XCJervkh4uuW2KRd1J/O/jZOD1bwaDTuKahYWfuy3DqufUqnTePNhHrtNISdpUHldjn4eNTWr6Xfcp4uZ4IMKre3vISzbyi/eO8dJ1E0KmOo3IgmIXh3rGseilz3ROdQgZ/G6/WmY4uy6Li8wTgZk2PKaWWSzpCGPdSPnz1S5Hk50BTTE5675Aa9m1ZPa+T7q/CSaFXsJQE2z5tarNlF6Dfe4ke6VYBGH7b1EOvIgQ8SOsuocH3zvGmbVZ6IUoNH+IMNIMvgHkJbcn2ncFUUAYboKdT4A5Bca6cGYsS0xr0iiqUnXPTshswBSbyEzUWscQ9m1HGTqKEPKgr7+cbJOaoYlGYzDaBrufQjE6EcwpxHImMn8iCkJyEbR2qw/qSXyqsYiEw+hUVeb1VpSKs/HF1MA3zWbkJ2OV6DQiQVnmu6NnsjZv4s193Bvmktk5tA77SbPqCUdiiHFtMb1GgY9/pj40YlHY9Ausyx5IjDXbHPylaZSmgX5CJSlUZ00E2xVWL2JmLez9A2TU4szQ4tWrwcsshxtpfEJgV7SmMteplsYMhBGSsiEWhN79UH0BWq2O657ZyWVzCzjbOIpwcB0suAnG2jF1bOCUgsvY1hsiSxzllsCTXL30DDzaFMoO/JAR/c+ADLwxDWnp01X18/ZP1Dd3ey6KW72FvTnvGOLbv0NxFiGMd2LZeCfnLrsXKEBRPptdCse73exmA1G9k7C3h0NKASWRMBGbE3t8DbdH7ejttaQPqhIDA84ZLK8vxWbUMnpwDziL1FIOgNFBkk79XjNTU/jOR8U4BR/PHYvxQX4OgqThxtPV7+5i236ydn6NhmW/xBrsIWf/r+g85Snyapdy31uNXPvJCXeCGF/Y6MBmlDlviUCm3YhGhLU1mQx6QjjMWiJRmdy4Ov2CEhc72qbKHZwg1++VCwnW/ZhD4TQeOmLmsYY0jpJPodaCZE7GW3o2vq6D3NFVzo2lHip0A1gLZsTXkshFM3Jo7HMjK1CRYcOgEVEUhTNT+6n84Fuc5qhk9ZzLWXLwe3itRRy3/IKoxjKly/kEeseDCWrDqoo0PMFIQuZiYYkLu0kHCHyjayZbjg8jKz28rU1lTWU69xq0EPaq10vXdtAY1Ezx618HS5qqPD8J/3DQBer4lXeq3X/Lf6DqA276BZSd+o/PAcgK9E0qvcZkha9ut1PmupCv1OQyq6AWg2EFaP++OKo//FmBWlDv2X8XxzfCy9dP/D7SDOtvh1N/Bra/LTR7Ev88nAy8/j+CIInU5dqZke9ErxX4NP2yOMVC84D6ZlmcOpXrsLY2i90dY2xrHeE7q0qpzZ1Q6nIHotTn2RFQs2ZRearERVGymfMbsonEZGqzk6YQWBVJh1hxFuhMKANHENs3w2gLrL4XvXMmmplXIIo5iLlFOC1Tu40UZyGCqFVvfvO+RlSeOKKwKR19zhyEY2+hVJ3HsJjKA+81caTPw48XGyF3FrR9hGJ2IVom3u60koicMk3VifL0wuwvJdTnAazRUYQDL0L95Qi7n8JUeW5iW7/gwlG6BqFjC2gMKLnziEjqAzqMjlDmbAwGO4J/GKXhKj6OVXCCRRGRRTQ9e2DOl1EOvYoc9iWCQcXoQJFjCJ4e8ICiM2GyqN1ZOo3I8vJUvv/KIQKRGDPzHczOnwh6RgIRHvqwJfH7whIX1y8pBsCDFf2cG9QsmiCC1kiTWwdEmZZm4XCvm/bhADFZYWfbCNPSJtaEEAvDgReh4Qro3I4w1IS5Ur1daJQYwt7noHAJaAwI+55HV6hK0JqMhriX5RiE/apkhNbE8SE/t758gJXnWbCPtCIM/xbCPuTqi/BJdlKsY8wuMBFtj5L30TdB0hI0ZdEy6CO1BFIddrXeJWrUsnXPHhRRw6qKLPZ0BwjrAhjKz1SDW60Jxjrw6pKxAfOLXXiGennxaJAxf5QvzbCQlWUHIKhISPo0HJ2/4aLuLSBHGcpcTjB+9Rib3yQ11kdP3lk4/G0Utr1AV2ox4rS5DEupJBUtR4hLVSh5C/DpUkgCUm0GFlYV8tjG44CfnSN6rl9USGGK+jKUlJJDTGumaqP6UAyl1pCWpgZlVZk2DFqRYGSCDnBqVQYVWXb6xoNMTzPgwM0eyUyOKUKqUSEcl505uzaL3e2jfHRMzXyfWp3OmiqVcK7RSLwQmsdf9nQTk6N8+UAZqyrTWBAX97QUzeGIVMIyyc2gTY9c4kqUjNuHA7y8p5tshxFREHhhZyenVKYjCAJ+YwburIU4W15lRe/HAPinfxmjPY38tCQurUkiTRjh53slqlMkzsgNczj+YmHSSaxy9OIwZvPy3j5+tkChoCIPrSSyuWUIn2ecJKPEqD9GlkVg5/F+9nSOMjdLhxILo9iyObrkN6QNbcW580F1vf13UbIS8uaDzqRmhs7+7T8UIE2GJAqcU5+V0GMENfjq9SnMyHd+xpHkb2F69mc1G4FECflvYqRFDVLrLlObj/50qVp69A+eDLz+D3Ey8Pr/CFpR5KEPmxmPp6Ufu2xqHV8QFCozrSd+mbItzWbggQtqGA1EPmNRISsKz21tpzrLzs72Ueymqanx5iEP9XkOUBQOdLkJRWOJzjohFlZNkcc7YeHNCB/cpXIMcufS0xMko2cveYfuQNEa8a/4+dQD8vSpshAGOww1QdpEd6LO1wv9B+CU++CTX5JcdjqgY2/nGEJMoxKFay5GGG5GGWtPjBv3hbCOdUDJCvUBPXgUX/JitrYMY9JLlOssCJ5ehL9cieIoRNFNBCMpog+2PQYNV8LIcYQjb6LPUfkZZo2MvuUdFGsWyuwvI4Y8LDa1QVMLJGWjU0JQdR6y0YVQuARRmMgCiFE/wp6noXg5hDyIB/9MMFMNZLyhKLqe7Tw808sLvRl8M2sXR1rt5LpU3fsBz9R2+tYhH2O+EHaznlgsjBAYhU9+qX4XC26iMEPPmiobi6a5cPRtxpkzyjODJXzLtZUDxoljlSUj2LJg62/Ucm3xSpJt6trZEipg0fKfk3zwSfCPMLbqQT4IlXE+0OYWyLIUYtvxO9UzseIs9oXS8IXVt/NYLIxQtEyVMhA1CM581ha5uGJ5LU9vPs6ejAtZ3LUBoiGOF17K+8PJzAWGfRFMggaNNYPR0SEcrlLCUYXsZDPPXDWLN3Y1c1ZaO9KHPwK9DfcZj/Nqj50vT4N68zC10Yf5+vIVDOqyydt/L0rNt4B8RElLj7mMLFsOgrsTxZZDj7kMh6iu8SFNGi7/CAcLr6HBNIC2+VUe3+Nj30fbeGxxGHHDPShGJ6HMWRiOvI4upRpYS/uwjx+8dogzpmdy2vQMxv0RfvRGIw15Tmpy7FgKZiDPuEo1Tgf082+ADJX3JMcUbjutnDcP9NI9FmRhSQqVmRbcgQg+n4fzQn/F2P0JvrRvsXr0VRzDI7Sk3QEk0zzgRRKEhHJ9KBrj+KBXbcBRBELRGKsrVbpBMBIjJiv44rqBz21r50evH05oX62tyeAHZ1SSbNHTNqzSFrpGJ7SqWga9yLLCcb+RtIrLcLSoUh6yNZvjKUsRQwrlUR93mP+K0PQuGfPvZYb3A3JaX+Mv0+7nLY2e383oYt6e77Jo8X3cfE4qqW9dA/YfQPb1SGEPv3K9zGBBOfd3V/Ej13tERT29/kowuHgz5Ura3PO4/0UPuUk13FT/BGWG6Uz00P43oJtExfhPBl0ncHZdFkf7PLyyV+1yTLPp+fn5NaTZ/vGgC2BGvpM7Tq/g3rcaicQUBAEun5vHin+EXF93mXq/zZkNJgdc/DxodJA+/b9ySCfxP4STgdf/R1AEiEwqjX3abiLZYuDtQyd0iaZ6dfW7g9y9rpFNTYN8dVkxl88rQIrzngwakeXlaby+r5eSNAsuq37K2MwkE/e/c5RQ3GPuRNAFoIgaBJ0ZnIXQuQ15wbcRR45B2ybSkhoQNXqIhcFgwyhNzaQJEZ/6tmZ2gacXlzTBA2migJIzfo3w3IUol77Es4cjQJir5uej1wTUrMjWh1HSqlXSbRwWo06VZvCPgt0KfbuQi4Jc9PRWRAGOXSIjaAygKPH/T+yPThKg9FRi7i5ErRHFnp1opY/IAuGMWYipVfglK0mffBPNYBO0vg+r7mbQVEJ67lwODESpzkvDIyUlDMEjaFHmfQNh//NgsCNPv4hYPB8WDoWoC2wl6+hTzEydiXXfHmLLSzlh2VScakYQVKIzwKKSFMx6NWjwi1bY9RT+nEUIcgTD7qdpW3Iqbx3sY3aOiRmRXbgO/o6qlDpM+/chrprgs2kERS3rAYgSgtFOKBzAoDdTpuklef2tBKz5RLU27O9/m+lrXgBycUpBLAeeVSU+ys9COPwKZcmVWA012AwapNgYHH4F97RzsLa/j3L4NcTii7AYNJyW7ib3rbsI2goImDKpaHwQ66oKoIqIZOANfxXp4hjrwtWcI+6mWclmpVZtrT9D/hDpwx8h585HGDiE7a0buHDt00AxeIcQR45jbrkVk9GOEPIg+IcZD4RxMU5R628Q3J3ESlYjNb3DjNbf4C6fDlhJkiKIg42sHL8RIeQmYCvCkhxib5fM7mELK2suRYoF0Y91QN2lBCx5GAFfOIqswF/3dE9Z0+5gPFA++BfEjT+FtGr1BeO1G1SvxsLFRIG71zViM2hJser50/YOTq1O59TqTGx6CU8gQHr/Nq4bvRLCXgYzl6GPX3LvHOrng0918+U6TcwrTkGSBN453M/CkhQ0osCoL8LRXg9fXV7M8UEPz3zcwpIsgXfaIcMqERjt591DyVw8O4+abPtnzLdnFaiq60ttvaS88RUAYsmlSMNHqdp1O5z1CGhS0dnSwNPJeXuuADlKwD6Nbr/qbzoim0HSkfrhzWpWFsCcCpKGmZZB0jpfITfyPI/lLsd25H3C5gzSZp1L25CD299spyE/k1OrBSRB4OHDHpYrvdySoa7bUV+YvZ1jBCMxqrOTyP4Ur/WfjfQkI/efX8OV8wvwBiOUZthw/RcEUbWSyFULClhQ4qJ92Eea1UBFpu0f0/mSNFB6ysTvOTP/4397Ev9rOBl4/Yti1BdWFQBMn9Wj+Y+QbjPw0BfqeH1fL9VZScwrnEqg3NwylLAF+qRlmEvm5Ce2bWoapDTNQk2WjSN9HpoHPJSmqzyTmKKwp2OMJaUphGMyQ57QlHlHRoa4bUkKPlnD4MgAQ54cXFb1LTEclTFkTFdlC4aaGE6ZQ8qc60BnRezuhFgETv8l9OxVBT8nQUktR9j6Gwi5Yc39tMtOTvRpOmK9sP15uk57isytv2FF2eUUXzObmflOujraKFAUmHG1KlsRkxNyEm5/iCR7PsKup6DlfZhzI71eNWqRFYhF1CJT6Oyn0G9/mFjYnyjZHozmMCdjOtKOx0BjIFx7OR5ZiwFQRIlBxUJ2zyaSBg4iz7kBzcc/A9c0qDqPtza3s6bzSWo63sDrquXlwru5Iu6ANOyLUhwch9LTQFFQAuOMB9Rz7IuCuXQZiimGtXUDseU/pEebmzgPnkCIry8voWcsQJJRy3ggQjASQ6sR+aDPSuqSu9gfzUaLTJm2j1fatBi0IoUZybwVPJtLTK9gGtjNWN2XeWm8jJvj8wbDYSw9e2DWddC+GaV9C6NFF5BhheORFPLmfYet/izGIwKnlLbTSgalQHp6Ol0VV5KZXIB4dB2xJd/jI2EeF810srYmk7aeA1iX/oCXvDM5c+lqTAQ5OG4gOwcGcZBbdxkheylDYSN2zzZ8WlXS1ReMcVQs4p1hPwe6h/Hm1+Iw65gTjGI36fDbS9DO+xpbjYupn96PztuJlB4/S/lzCSy4BeOrVyP4hojN/RpPjs/g0Z99RG6yiRdmnoc2owbJO4Ay76tEHdNo8hqYmQK+vBUMN3yN5O0/A2Bryc08/LEa2N6+KUL12lPJ+uvZCMB4w428Jc/kEkAjCJxWnc5r+ya6+eYVJWOIdwmSUas2Uyy8CQJjsPsZda1A/DuUCUZCCd7ThmODyDIMhiR+H1rNXfb16MeaQZR4P/M6LOEkKoCmgQkZihPojSuqh8IyZ9Rk8vq+HoIRmVynibnFLsb8UQbHvNxXsJPs4S1kT/8KZ+p2kj66i63hW4E8vKEIS6al8FHTIIoCC4pdeIJRZFnBmZZDIH0WraZqnvPO4JuW36PPrsXhTFezK7Oug6NvQe8edb3P/wGPvioRk2XuaUxhycLbsHzwPVBkmHU9VJ2jXuPT5tO+8nHy3rwUW8f7oLPQvfp3FORXs+NgL6dUZfDq3u5Exq4+15HoZG0Z8HDTi/vY16V2ftqMGh69pIF5xf+7pHKtJFLz37X9iWNampVpaf+x+OtJ/PvgZOD1L4gtLcPc8MddmPUaHrq4/h++cMNRmV3to7x1sJf2YR8rK9PImZQyT53EK0j7FMdAqxF4fnsn3WMBlpelEpukRK3TiGTaDbx1sA+7ScviaVM9zq5K2kWoaQsBnZNkuw2racIOR0EB7yDK+3dCznw0qbPAojonpmoDEPajDBwG7yC6yFTlZ2G4BWIhFJMTunaQmzGLE3ISz4+W4zd8k7ZGDbmmb5DsSeFLDepNNUMchj3PomTUIAweQVs20UFo0UuE/eMYwl4wJCEPNzOimwj4nhqdQX7ZPXzp+XEeWX0nPd4Mrolvmyk1qd6QeQtgrAPdwRdIyp4FGLBpwdm3Ado+gpnXIW64B7nqPMSj62D/C8x0TMexbx9ojVjcTcy2T0gBFNsiCB/8HtlVhhAYQxJFsotUblmaUUHb8jLCsXdQChcjvXMLS896HOIFFa1Gyy/WH0vMdWZNJuZ4+mNpqhvj6z+kwlKEpEQwBnq55rQ/86XFC0g3QdXePyEGRnBnL8G+91EuWDUTiGupaQzqQ3D7o5A3HzmrAXtcTLREP4ThvfuZb0whpjFjHD1C0en1QAmEA2T0foDY+ArhpHx0B17klPmZnLJ4AQDdHT1oPrqbc7KW4ti7Bb+zjGmnLASgQupE2PEYNkmLzZSCMHSU/LXVwCxSbXp2tY+xs2OEZJOOl/f0cMb0DLLs6joOjvVj3/00Dck70Q/sI5KUhyf7NJKSHAwffA/nxrtBo0cxuZB2PM65Swu5x5dKWbIATesROj6C5CKEY29B3hLy89Usgb75TZJ3PkDMmo3kH2Be4918u/Zu7t+r5YdzBJI/+BaIEhFTBkm7H2b+ggKgCKdZRzSmcGZtJsFIDL1GwheOYjfHb7mpZXDaA6CLX4dp1YmfT2SUi1LMpFoN7O0cI9WqR6cRSdWG+Zr2VfQxL7LRhRgLcMrAEwwU/xDIpCzdmhD3PIGseKZHRuGlnROK7h0jfgwaEb0I2eYYBu9hXD0fcIutGa27g5Alh3yj2iWp10gc6nXHeV2wu32MBcXJiKLAzhE9j7sv5WiHQK8nRG/WJQwd0PHkLJl0gxc2PaAGXVoTRPxkf3Ir2658gqNCETWBbRhevlPNdoka2P5bSK+C2kvRyUHyvPsnDiTspSDSAvI8nGYt6xv7KUmzkmk3oCiwuWWY+ty4cv2e7kTQBSpP9a51jbx4/Ryshr/dRXgSJ/HPxkmvxn9BfHBkgBFfhM6RAJuah/7hcf3uAFtaRlhamkqKVc+BSTceAJtB4op5eVw+Nw+Lbir1/kivN+Fz9v6RATomcTkGvaEEWXfMH6HtUzIVH0WryBz4iKLjz/CJbj5D3omMmGIvhJLVCOnVULgQa1ZFYlsLeVC2BkHQQtkaIpOsfQAUazqsvAfhlPshYzpN4Ym31WxjmDNTejEIUc5N68Opnwie2sQcmHcjQuNrKIFRYlmTRCoEiYjOhm/RHTQvfggleRopyS4KXCbmFjoptwep1Xfz/ZV51Bl7yDdMZBAOygWw+BaEWAghZzZKxVmMCypZunc8TCBviaoMvftplJV3sS3/BgbPeBa5eDUCMWI5c9iw9K+Ml56PZlIVuEkoILzsh4gdnyAMHiKw4LuM61RCtM5oIVp5viqg2vYx8mkPQMGKxNg+91R/uF0do4z61XLWu/0Whhb8CPvgDqxDexmcfycfD5opSbNybCRCa/opHF34ax5IuoXBhXezP5qTmKcnqEU5uk7NGiLgHuplNG5D895gEpuqf4x+5Cimgd1sr72H1wfi343OiJRcCJVnozvrYZVLMql1/UA0F3nlPTgEPyy8iVjD1WzrV4MRc+kSQivvQ/AOIAwcIrL4VoTKswFoH/ZRlGrmklm5VGfbuXJePjqNmNCs+ihYTHTOV9FHxqD8dIIN17FlNIk/bmvnw34jyvQLCJ/6IB2Lf4ky58v0KWomLRiW8afVqh6c3btRdBb8qTUMxiUYenDhz17Eb3Pu48iih3Gn1LFvRMey0hQkawpjSVVsrvkJv86+H1/GPI7F1+iwL8ybB/t4dW8P7zUO8Nq+Ht5vHGDYG+9EG2mFj34CY53QewA23a+Wv4GaHDvXLSxAr5Fo7HOzaFoK1y4sxKzXMBKRSM4pJVq0kj/VPIl/9texZJTgV9ScrigK1EwiY88qcKKJUwY6R6euFYBjA16ah/wc92r5pODrhJPL0bpVe5/Dc+5nk0flijmMWlwWHW8d7OPNA31YjRrSbAZkWaGp38OGTplej3oNbuyWOTwQ5PiQFwTwhmVCjmn8vvIJjpZ/jagsYNJpmV2YjIACCGyu/Qnrpv8adGaC4QigqCTwTb8Aaxac/ZjKtXr3dhhuYtQXYVGJi/FAhDcP9PHu4X7mFiUTiSkoisK7caunyWjsddMz9vl+iidxEv+bOJnx+hdEfrw1XBIFchz/OLFTrxHRSgJvHewjyajlktlTRf5SrUZ+9cFBAO46c6q4an6yGZ0kEo7JFKaYSZvE40ox6ylKNdMy4EMQ1M7GyZgvHcRnTCeUVMbs4CZctgkSvMFzHGH3Uyjla2Hbo8RMqWiSVFJoaewIfPKgGmDtfQbt0tuACTFBYfg4ysG/qqRQSzolOUsh7pxYq++h6N0buDN3BfZNHyKt/gOgkpPzoq2w4ymUzHoYbkLq2QnlawDQakS+19XA4R43EVlGr1nJT6dn8s43pqERRVp3vk36+hu4MGsxtq4PCa5+mhOirhWxRtj6CIochcGjCKKAMZ6Fc5kkdH27QNCgaI2w/yWEkmxmviPy8/MN9Hmy+KX7Uta/NsqS/DOZZkxPaGa5YoNEtz0Blhy0EQ/hXc9jXF4LJCEHvWgO/RmhcztK6emI676JrLVAzfkAJBmmlqKLUywJY91z0vpI+/AhFKMD5BgZ+x7mjCX5QBE5dgP3bc3incMSVoOf5/cV8fUVE11SOklCSK0geug1NEYbYUdDwr9ztsNNyeHHQWsiJmipav4t4vx4piwSVLtFtz6Ccvg1tVNzUsZxpXYv4ju3oFRfgLD9t1h0FladXgnkMXx0M47tD6uZD60RzY7HGLOXoq85gyyHkRFvmHcmPVAvmZ1LepJ6rGca9qJ5924oWgbHN2A99jb1a0pY/vw4P54L4oEHUcwZWJ2VCK1vEJ79AJDGUEDGPe7G7u4GrQnB3Y3f6yHJol6Dbwym8OvAV9l8LMivtFYurLmRFRUZnFmXxXNb23nKcwmH2hQiMYX9WTdhGXWyCnBZ9KTZ9PS7QwmxVINWJC0pnuFq3wSfPKDauYx3wVgb5M6H4mXsbBvhuW0diRLah0cGMGpFzqrLIlUfJda4DmP3x5xVMo6p+Q1ixmRSp10EqFlvfzjGadUZCAIc7B5PSGe4LOpaSTbrSLMZaBrwYDfqyHIYUGIR0o+8i264MXF+cxsfY6zmBwAEozJaSeSmFSUIqKVPbyiKKAqkJ32WLK6TRFKtegZDEj8YXEWOcw6/3apQ5FjAqTmzyex1cnEO/HG0ArH6KX66SyQYlRmY9QT9wzncIkqQOwfO/z0BUzrtulKKzk9GqzNASinpgVF2d4zRGn8JjMkKbx/s40uLCxEEgbocO039UzPoLosO5+dYCZ3ESfxv42Tg9S+IAU+QtTUZKIr68z+KUFRmW+sIoPJEvJ+yDJpV4ODGparN9OyCqa3IOknhljWl9LtDOM1aDLpJS0OAPy7xsjeczXRNJ0eVqTyS9qRZuOsqcce0FNkULJO6Go8rmRTbshHevxNl7o1s9eewOD5Oyp6BMuNKhHU3o6SUIadPnyKBoaRVIoa9EBxFyZrFgWAKJ4qYJpMVZcE3sfcfQpn3dYzGiWBwjy+FeQ2XI0haFDmGbEhKzBuJyZilGEsLDHT4JOpcCp5QFF3cAWDdWB4XlHyB9CNPM1RyPuvGC7kxPnaDJ4dVDVcgePrAlEzM4KDZZ6I2GUaDMum2TOQZVxJIq8fUvC6ehYjyx23t3NoQ49qyAzyZXMZlzv00SQFOEOSb/UYyGq7m1WEXBaYIedoxuoMG8oHeAKTnL0BsfhdhzzMoNV9gULFzohH8nPpM8l1GOoaDpNl0FCRPnIfkvGqihcvRhMdBEInoHWQUqd1MgiCxo32EZWVpRONq6oOT1prZmU4kOp+3M77KQvEAFoMZi1nll4Q1Ngw159CqKySoaCmOHiUixbknsRCyNR3Bkorg7kIpWk4sFk7caEbt1SRXnKVKdogalNX3MixlkAx0eEUc5hR8y3+CX+/Cte9RhkM6HKi6T+sbp2Yx3jrYxzULC7AadLQIeVSUr0VofE3dx2V38uxhdf3/YLtA7tyfsmDn19CPt9JXdT1PDJYBo4iCgCM1i+DCW3nON4NLLLuw6hyMyGqWaMAdZnOnel6CEZmndw5xR3oqeo1EskXPvMoCkvs8hKMyaTYDRSlqZ2iyRc/tp1fw7Zf2E4jE0EoC3z+1nAJXvHO0cBnUXwFxEVqW3QG5qv5U25CXZ2a2syeQynPHjTxU1czb7hhtQ0WUpqdyeP69lKy/HFPTayBKtK18nNx81RPUatDgCUYTSvF5ySaM8ez2yoo0xgMR9nSM0TMWYGVFGguKXZRnJLH7aCsFwRZClhzerbiXhv4/4xrbiw31WveHo8wtTOave7qRFVV7azwQQpYV5hQms6w0ZQqp/+vLSyhOtfL+4X7ePOrhhG5dy2iUX48KXGJwwyx4ZW8P+7oUQA0y79yqYNR2cc2iYlz6GOOtu2kRcvn2wXEeK9uD056EI3cuMiSCrsnoHVO/qwtm5LBuf28ieAW4dU3Zf0rG4SRO4p+Fk4HXvyAy7UaaB3xIovCfaj1OtRm4bpGqHTQ9K4mqTNuU7S/s7OKJuM9jICJz++kTZT+tRsNvNx6j3x1iflFywvYCIFsax9X4DCvcvYjjHRhPeQioSWx/uU3L89vVG/SC4mSeqZsInwqUbug/iJJaCR1bmZm7BFBJxNHuPUjbHkNpuAqhdQNi3z7ImxBJFYab1LKd3gaRIFUZcwB1v9LCnQhH30Lx9CF4Bsiw5wFqx06toRd2v4kycAghMIa45NaJ45RErjd+gMnfhTt7FslH/8hY2a8AtfR0lqOV9K1/YHDGzaTs+RVnFZ8GcSp7jXUcXv8VsdQKxLF2hNRK0nLUTJpNLxBTQHfkdcw7fodSdQ6DnhAgke8yU6M9jObjX/Ol6RfCgXVUN1yd2Kd6Yx+WjT/j9JK1aIb60Yy3EcmeDaRg0ygIo+0I/hHQWxHaN2PLX5kY29jr4Z43j+AORBEF+M4ppSxUE3/0j4yS4huGxr+AAnLVhfQPjZCWaQZBYWFJCs9tU8tKRq3E15cXJ+aVh1vQvvd9smt/hLb9jwjOQtzT1mCzJVFg9KF5436kjFVoNFa0bX8k/xxVaNMdUrC0b0HwDUH+AoSW9xHyJ4Rkk4I9CB2bVU6PHEVo3UhyQzWQRq82l43Wb/LEeh/uYJRvzL2dNDmHYsBp0pFs1jM4qYydZTcmeGcR0UCsa3fihubpa8Fsmgf4mJchUDD4QWKcveMdLpt3GlctmYdVCKJ77xH0PdtYM/NWDFseQMicTVKFyrFbPM2FxaAhFI0hCQLBqExVlnpdSQI8vbk9oQwPcP0itVwuywqG0WM8t8zPU735XJTRQ9DfiD+cjUmngeMfQct7iXE0vgZplVB6Cqcn91Pyxq1Um9JZkb+G/J2/I7PiMgTTUmKygrZ3N9qx1vgXFUNoWs94fi0uh4MBT4jiVAsNeQ4EQfVnHffHRX5jCk990oY/Hoy0Dfux6DVcNDMX0ZjErZ7zObv+Qt7ssdOR+hVszmGCwUwaUM23H/qwBYtegwD8blMrX1lSiCgK9I0HGfaFWVuTSSSmZsZ2tQ/jDeWh0wiJTPpknAgG85NN7Osam7Ity2HEoNMw0LSV1J2/oh6F54svIHXX88gGO8PZc7CaC9CIwmfEWTPj2fgZ+U7+/OW5fNI8TCAcoz7PwZzCZP6n4A1GCUZj/6Uuxd6xAFqN+F8a+19CYJyekBZ3IEqOVcGs16sOECfxf4aTgde/IDpHJrzN/iPxvM+DXiNRnWXjGyuKcZj0n9HbOtHdBHyG6+ALRPni3DxGfGFy7CaGPUEKU9QsRmtAjz2tHnPTvchZM2kNJVE3aWz3pLnaR/z0u/1k2NU3+3ExCee0UxAsaSjefrpkVzzsgq6Ilbyl30OQYyh584nprFMWZCilGoNGj+AbQC5azoFQOvPj26KSHq01AyFnFspYJ2HJxIlcT4eSTln+AoTWj1BMycjO4imZNEdyCoY9D5B04CliM64laRLZNqoxEl30PXZHqli28LvEtBPq/7tD6cxZcg9/6XLQkOfFpgWtpH6qPyxj9vaq0hUFi6HtY8qql7O01MX1i4voHvCS5yyAzb9CcRYybiniRM5xmzeVUyrOxbT5F+pcq37GAY+VLECR9ET0DnTTL0TQGFD8wwxKKZxQ3NrcMpywE5EV+NP2Ti6ZlYvVqEM/fhytv5/Y0tsR5Ai6ji0Io8chM4e+8SCvxfWFAAKR2BSNpnfcuZyRvYy63d8DnZnX828mczRGgw0+GkqipORr1B/4EQCHyr/J7mEnlwHNozGKSs7EllGNcPg1lDX3c1zIpyQ+r0QUai6G1EoYaIRYCMGrZmk7R/3owiMU2HR0iRrShHFahtWzZNFruWJ+Pr96v4lQVMai13BmbSZaTdyMPTiAJupj3/JnSR3YjHVgF4tna3hun5aKpADO4UZ66m6iQz+NOXu+Q7owTm6ug45hH9tzrmK+M5fMzXcg132R7eYV5MoG7ECKzcCre7sThtaZdkOiMaVzJDAl6ALY0aYeS9/gAIvdb6AlSlraABnjB0DU0NUzjdz8IjXw9PRC/RchOK6q38f1onQ59bhX/gLb8XXkt71EdOF3GE5eTLHNTHdPD/a2dUQNyXxc/WPq2x4js/ttOnvPx+VwcHq+wMLYHu5sLiBZDz+taucDjXrV7GwfTQRdJ/DnXV18aXERBp0Gkz2F69/tBvp4CyhNs3L1AvXaONTt5vyGbAY8IRRFIdWmkv5lWW3o2dc1PoXMDupLgcui4/wZ2YkAHyDFqqckLuB8TkMWbx7snSKD85UlRVj0Gh7rzmBm7f0s3P1NUo89D1ojr5b9jLEeK1fOt3LdokIe2TAhHmzUSglLNIDyjCTKM/7x++c/gmA4xst7u3nkw2aGvGEunJnN5fPyKXBZ/u7Y1iEfv/v4OC/s6MSolfjykiIunp2L4z/Ruf6f3t++o4jrbmJ3yhX8pimJ3+R+gOJwYFn89ZPB1/8hTgZe/4I40ZUGYP4UCf4ETrxZTkZTn4c7Xz9MrtNE52gAvSRy0ezcxPbaHDtH43ISdZ/qlOzzhhLdcVpJ4LeXToivJkt+9CNHked9HWHoKFmasSlj63Md7O0YIxSVWVOZjn6Sfpg/HMPZvhkGD6MUrUDOnHhQRaMxlGNvIxx4CYwOYsvvnrIg9f17UQqXoiSXIBxdR9GC+YDaUSkRhdFWOPoGZNSjJcyBLtWsN0UYhUMvw4JvInTvQuw/AFVnAeqNMxyJYYjGfRzDXg72+5kdb9Q8HjCTfewdVvfcRTithuPT5yVMhf1hmZl/MVCUIvJ02EwoKvNCsfomLyoygtmlcnea10PxCspSdDwxbyaiKBAYGEHImQPdu6FgEdbYxDlM1oYRxye6zRjvwp6sPiA1oow02oow0gop0xCGm7Er7sQ/FT8lhGvQSpw4/Qei+SyqPBdpz9MgaYhOv5T90VxWAFaDhEkn4ZlUjtZOchwotcmYAvHSXjREtSOMHOd4WaQoFZqJoK1E7KFVUr/XDJ0PW9MrMNRErP5ypI/upWj2VwCV9xeOxjBsf0xV0R44AtEwQ0VX4ARmmQepavs2qzNXM56XQ93++zm87PdABd5QhMc2trCkNBVRUNf/s1vaOac+E9DwoVzHB8WP8/M3w5QmL+X0otXkSKm88dUy3j3Uz+7SX7N1SE9jfwR5+UtsG3XwTcCkBJjX+yxi3x6Y8xXEAy8yL72X0dr5gJl3DvYyOanSMxbk4+ZB8lzmz+jkwYSJvVYUEIaOofTtJqv2Emhej6xPQlMb9/vLnQOLb4XND6rm6MtuT4ha5gUb4f3vgKMAytei2XQ/xfWDUD2HiC6J+2JXUFd4EXdu1HPJtK+Tao9SrmRQAiwLvof2o7u5p+JshLAfaf07rFr1E6DyM/cLUDPAWklEVlT3gjNrMwlHZTSiwIAnhCiqY6alW/ntxuNTxl6zoABRVHmlnwetKJLnsiAC1y0qZMQXwqCVsBo0pMVFmn2hKKdVZxKVZWRFwaCVCMQtcqw6Abt7Unk5FiZFGCcUP8dfWlxEYYqZXe2jOM06VpSnUfcpfcL/aaw72MOtfz2Q+P33m9tpG/Lz28sa0Gs//14NqpDtvW82Jkj/nlCUn75zFI0ocN3ion/a/kb2/xVr5yZO7d9PQ+4aMg69AKIGT/5CrMXz/v4EJ/FPwcmuxn9BnD8jm7vOrOS+c6dz2vTMKduGvSFue/kAq3+5kbcO9E7ZJokKqyvT6RkLUplpw6Cb+vVOS7OS7zKR7zJ9Rg9GmvQAFxASRssAEZ2d8aK1rNOtpr/4Anq1OVPGHu4dpz7PwaJpKWw9PoxOo500l6LaeAgixEJTFpxb0RMTjeo2RWEsNvUNzGcvQYiGEA+/RrjoFEbkCf6SIIggaAABNHoEYO3Dn/DSri46wzbkWdfDvhfAmoXXOSEMqigK5ugIzLwGlt2OJAikSROctTrjYOJBopUk6owTvBW9JHDxrBxah3x4gmqGMBbnR8UEDYrOmlAyFfQ2vLIWMd5RJoXdsO1RQsvuhCPrEP0TJselZh+Sp5PRpT/FP/db6EebKLepgVcwIjNsLmA8ZxnrDauJlZ9JS2BCImRGnp2zK+3qz5l6rpibixR/WBbpRpD2Pw96C4h6NPv/SJF+LH4e4JqFBYljzXEYKZvk7ZmuDKDx9fL+rN/Rn7kCc89m7Fr1gTjX1I0hPEx0xvWE5nwNnRJioUUVCg0KJpTsWQgjLUhvfwe0FqKWSWtYZwFHIWx/XA1Si5cTi4fbQWs2vYXnUdj8NHUH7mYgawWjZjXsVYBwVOGdQ328dbCP9xoHiCmKqhqMmi27f0cYWYHGoSj3b/Nj0GjIdpjItOvZfnyEdw/1sfHYEId7xrHGs8HRkA8xf75qb7T1EQj7EfPnEw2p/KFQVGF5eSqnVqdz+vQMKjNtCY+8xaWplKVPnDNJFFhbqx5rT1BLb/GFCIoM2x4F/zAj06/lqD+eq2z/GD68m9CsG4nmzIV3vw89qs4VogbK18LgEdjzLFgzUJyFgNqx50jLZU+0gDVV6XiM2RyJ5Sau1+GMRchLv4+mcwvS8DHkZbczmKI+YOcUOhOejidw3aJCcpwmilIsrChP49W9Pbx1sI/X9/fSPeZndoEayBwf8nJmbSanVWdwWnUGZ9VmcaRfvW5mFSSTbptaNjutOp3yTCsmnYZzGrI40DXGn3d188b+XlKtBubH9bSauwb4fv4RqpJlcqwS38lpJDDay7g/zLlpPVQfug9Zl8SxutsAgQUHb+fU9Lg2lxjivBwf954znW+vKKJOP/V++D8NRVF4YXvnZ/6+4dggh3vdnzNiAkf7PJ/bafn4plbG/eHPGfHfRzQm85Y8m1jJKYhhNxnNatA1uuhHvD+e8/cnOIl/Gk5mvP4F4bIYuGxu/udu29Y6wh/iafvvvXyAuUXJCZFVnVbD89s7VINWd5Bz67OmjN3V0sPoyHD8Zy1LylIT28pTLdy8ahodI37qc+ykWSaCoD5vjCea8onKChs0RWQmGaiZ5DgxO99J84CPiKwwK99BIBrDwoR6upw/HylvLrKoZ0yZCJ7MUgxRo6Vr9ZOkDm/FKE41fTUYTFC8AtL70JgdjEcnlQQVAW1aOcy6Bto2MR4SURR48L0mfrU2G0/LNlpn/pT0sT14R0Y5EWYKAgiWVPAPQf9BcOSjaCaOVZREqDwHGq6B4DCSZuISCURiLNAeJWV2FllaL8ODh1DinDO9DoTxDqg8C3LmoOx+Bjk6kU06HM1ieslq9OtvRc6sp103jRPiGe+PpnJq3XVs8mSTZg9SkFLHvlEDKzLAG45iMjmRFBMRrwFsOcSiE2/W8zRHOLvoKN+cMZds927C2mFC0Uz0OrAzjqI1IdhzAQXF3YtTUSULfKEo4YjMGdMzCUZjOEy6hAwFwGO9BTjzH+ahjyOsyP4i3j6J7/sFnA446jcxx92LxuRCIwdRRttp8ZupB2KSnn59HukaPUI0iKK3cljOifeFgiYWAF18DQgiRAOYUYOcTEcSOvuEf5zWlobVrPKpojGZi2fl8OQnbYnt59RnEYkHvp/jw5xwxXL4Wvly7/c5LWc1vWVlLD7wPQ4veBAoZDymxaWApNEjRPwoGj0xBcZjWtKBmfkOHny/idE4T6ou106eUw1ejDqJGXlOilOtyIqCUSthi5etTbKfNH8TaPSqV6akxRHoIF0YA9IZyD2dsRVmrttkosBayx2r15CSvQALMGKrQJM8HRsvqcduSKY3aQY5kpZ+9xjRmMJr+yYyjgtLXPS7VVJ50sg+xA/vgerzIBZB/OAu7GdkAzVkO0z87oszWH+4j/7xENXZSayuTI+fK4E8l4kzazMZD0Sw6DU4zTr08aaTQpeFpz5pS3C1NKLAFfPyicVi5LvMPHHFTN7Y38uxPg9zi5I5rTojMXbD0UG6x4JqoBiM8vjG4ywscVGcauUyw8c43r6NUwsvwqtLJf2dX3HR9CuJxWrwuOoJLfkF7XIK9xy0c//CX6E3GElOKYOQFz66Dw6/Bhc+C20fw4b74AvPqz6L/yQEIrHP/Xv0Uxy2TyM2qZSq16gZxkhMIRSNfe7a/Z+AAiwV9yYcSAB1HXqbqbW3ACeDr/8rnAy8/s1g0IhIokBMVpiWZkU/qTxk1msoSrHQNOBFEoXPeC5+wbKX81xbUQC9dTZMYmq1jwX4+btqqfG9w/08ckl9gpdj0mnY1DTEcJzPcvPKaVPmPdbv44Wd6pvg/OJkLpk5cUELgozS9B4hjYmYzoY598LEtmHBye3ta8lwm4lGziJbsXDrpHml7h0oze+DIxexYws1K8s5Qa7XyCGErl0oGgNC106SSk4BJApcJryaJL7tu5T33xojyzqLtfV5fPvE+dNpkN09sOMxVWYhtQJH7urEZ9piowjvfk+VOzjwEubTHkhsq7L6mLbxdmodddg8LYRTa/FplgCgFxXV+mi4BUJeBFMySZqJQDJH60bo2QWGJMSRVlKViUzadPMYpvV3Md+QiT48gmhykrHk1wDYDRLmvk+QDr/MqTmzYMtHlK59OjHWFe5GePf75JaeCs3r0dVfAWVnAeBWzFgVGXY/DShQvJJxrCQBDpOWl/Z00TbkT8x11YL8xM8WvZZ3WgQUBfaPSlj1OlLjjR75+gDorbDzd4AAuXPJNar8sCQpgv3YCwh6K0y/EGH3M0zz7QJUgr0SDUL3LuTZNyB2fAJH30ZXeC4E3YT7G8kb3sZA+RcZixmZ5j7A6PA+KM5BK4m09I3xjQWpHB0TqXUp7OgaQztXzYgVusycX27kpcYApS4jNy5IwROIMOgJ4NM6iTZcy7TdjzJt7BGiK+5mQHFRAaSYtEjH30eIhmDmNQh7/4h0/H1SKy8FoHnAmwi6APZ0jBGYpT5k3z/cT2ysk/19Eh3jUW6o0/HqnihrqjNwmDWI4x2QXkuzfS7FIxsRBo9iq1Rfkv56cISfvKUHYrSNwYedGh4yDXH69Ez87TvJ3vhDorZcRgrXkrr3IWyNfyRQXI8oCJ+xIfq4aSjBbdJJAjjy4cCf1Y0pZejkiYaEvGgb8zJNNFmSWJw0gFWxAnbah308vamVM+uyGfaFMOk0tA752Hp8mLW1WbQN+aYQ5KOyot5nJDW4ykgyUJWZRIpFz7Q0C864dMXxQS993e38ZLbMHzphXgZcWxBg47EhilOtvBes4IzkKnKP/wmAmDmV9/XLqA3JvH14kAfey8Bu1FKeYeALm1LwBKP83NjP2vIkNZM+1gZPnaIGt3qbqn7/38VoGwweg2mrVFeBtk1QvAJBa+DiWTms8ITpcwcJRWTSbHrGfRHKMmx/c8rSDCunVWeglUQ8oQgaUcCs15DvNOH4J0lcaCURsxhRXQMkLaRXq1p1B17CXnrBP+UzT+Ifw8nA698MoajMmbWZBMKqwW0wImOMX7cOk457z6lmU/MQxSkWZnzKvb7NVM3cnjsA2FJ+LRmTto0HIpxVm0UoGiMUlfEGJ7I17mCEm6r8vNRm4MKCIEFxqsSFrCisrclEVhTC0RjjwQim+E71h/Tkzv0afxqZxsXOozT7DAm7m2FfmPxUtXRj0msRP0UVkXPmIPlHwN2FXHspOzzOhBRF2JSKfs71CB1bUeZ8iWHJySWznVw2J4/D3WP8srKZvdNyKdP241bCJBTZASWlFHRWBN8QStEy7NkTtrrjxjwc1Rci7PsjSuXZ+CwFiWxZf1BL+cKbSX/zZtAY0C+/lQ4/ZCXDoE/BmbMY697noGsH8vIfsn40jdPiY2MaY8LwWwl5UCaR9o/6jORVXoDT3QK6YkbMxfSF1fMkC1pGyi7BdWwdQssHxOZ9gz2aGpbEx7abKiisvRRh7x9Q7HmESk5nPCSTboIx2UBWZp1qjQSQUYc7pgbjY8FoovX+BCZ/56elDnGD+0UeyzmPU7W7cThTCIZnAgZikg4y61QuGwpk1SPHTaU9IZmIaxZWxzTejc1g7WwrXUJmoqHCZ0gjaen3EXU2sKagyDK68TbYfCea6d9EDvmw5tZxJFxAYfteOsNWCoFoJMS3nJuwDx3jddtFnNP1KA1pqwhHVRmFWeJRrvLcxflr7ybHexDx0BZuC17Kk5/YeGipgPnIS2o20pKKtP1xGhbdDkCvJ4yx7GwM6dUIO59AmXE1QXsJPe4QjmR17X8akXgAkif0ca7vPjqKlnHMWMMZR25if/X3gBn4IgJWYzKMd9DrnE2ueydoTQRj6ovS1pbhz8x7QnfKHdMhz/kqHsnBPrmE5XMUFEshwahMJKZ8btblRHfffqmSmrwFiKNtAMgFS9ghVDIPCHbtR3rpUlIcM+lJXYt9w3fxF5+C+dS78AVlTqvJ5IH3mhJzzitMTmRyhn2fLYf1uwMoisKYP8J3/ryf9xonyue3rCnjS4uLEPwjfF/4PZZPNuGv+RkVA+vI7HmX7FVPAQX0San0pC6icFjVFxxKncegNht3MMqIL0wwItMXCdHnHpj0uSE18F/8XejaCV3b1Q1rfwX5Cz+zn/8pePvhta+pZfCzHoX2LbDrSVhzP8y+DpNWwyMbGhNG4gCXzM75u2r4Jp2GApeJhz6caAYQBHjggtr/3v7+HQjFy1AOPodQvAIGDkPBYqJJedizK/7+4JP4p+Fk4PVvhgKXmY+ODjDsi/DFuXlYDRNfoScQ4YH3mvikeQizTiI/xUxV5kRXT2FgP4POehSgMLAPmCDQ57tMPLyhmUhMochlJtc5kS0rskbJG36MlcmppB55n47VTwLVie1Wg4aX4iWgNVXppEwSX51uGED/xve5tGAx4sHdzDv9qcQ2u0nLluNDdI8GkBVV+2cyxO4dKMfeBGs6wv4XmbVclR0AkHxDCO98X+UTvX8nSac/xD1nq2GZxXsc0/rHmCeKCCPHsc2+AVg7ad5dkFmn8mYOv44nYx6WwlkIgoA92IFw4EWUomUIja9hLloGqDfzmaYe2PgISloVgqcH8cjrZC6aBdhJNUvotr0N0SByZgPC1oeYvWZCcsMcHkE4vgElFlY7DOsnuq9mmAcx7XoDxTcIET/2rAaKcpcBmeiFCNajf0QIjhNLr0Ha+Tsa1tQAatNEQaAR4cALKKmVCAOHMLS+i7FQtefJ17sRdjyOUrxSzQ7s+C15Z6nHkms3sbYmg9f29RKKyph0IkUpE8GgNjSOrfNDbhI2IgZH6Si7Fp2sBiHJggdhy0OQVY+iMSJs/Q32c2erayzTxf17FtHS2cfbbVEO1CwkKysvEXiZIqMImx4AUQvBMYSKMzGa0+H4hxSIEvgHMW68m0UaA2Gdk5wkdX27LBpCuig5bX/mK/p3IOwlkL+KJKO6PdWiQevuYNaGyyDsYyB7FZIIBzvdGKMCgiDAJ78ErRFB0mNQgvE1qIHG1xA6NtJTcQ2Z2x6F3MXYC9SQeWlZ6hS/Rb1GpDZH5T3ZzGaiWiuVh39BpaQFQcJsUTMf7pBCOOakpHsHC3vPATlKR9k1DAYEioDq7CQ2HJtqZp0Tv+a8GBltP0By9/usFESQtLTPuI8yvZ6abA2z8p1sj3dPgupD2JCn7lPa+D7EvX/AkzwdTTSAcfuj5C6vBmZw1K0l01JCdtufyW5TM2JHxQIywxo8QR/PbetgVUUaGkk1nd7aOkJ/3CvyjJpMdraPTtnfc+pzEASBrceHpwRdAD9/9yjLy1LRGpJotc2kpnUdK3ZcC8B46kw6Y06KgLP5iOzGR4gaUwjpnaS1vsIZJhdJrnsoTbNOMYAHtXmhPDNJ9Xjd+9xE0AWw/ofgLIIMlQfRNepne+sIgUiMuhwHFZl/OysFgCkFpl8IbRvhr9fGT3A25KjuF6/v750SdAG8sKOL06dnMrfoP/aBbBnw8tjG1il/UxR48pNWVlelYdT+cx7FxuHDkFkLe59DMbkQTE60ggTjHWCs/rvjT+Kfg5Pk+n8zTEuz8oMzKvnmihIuaMie4lA/GgjjNGlZU5XOqdUZdA5PFRhcH57Otorb2FZxO+9GaqZs6x4NJFq6W4Z8DHgn3nC7fRrE2gtJteiQF9/KoDy1RXu2ro0H53j4QUOI85wtDPsmsgTDumyUpbciGe0w/+s0xSYCjjF/hLJ0G6sr0zm7LgtvaGp2QcmaiRCLIvQdRJl+IQdDE2MVsxOl/AyEto0o1RcQ003sU6PPilz/RYS+/ShaA960CcugQChKxFEEaVUIogR581jXLvL1P+2hc8RPl7YA5ZT7EEwpKGt+xoC+IDH29aEclDlfUTliZWcQLl5DZ0Atvw34ZcYzF+Ne+Qu2Tr+L6ILvsM2fPvHdSE4UazpC3jwUVykh/UQ2ciwiQe0lCN5+hJAHqs9nJKyWcIYDAgctC2mbfz+3m+7AM/ubrPfkJ8Z6dCkoc25AKFqKsui7xFKrGYnLS+wasSAv+wFC4WKE4hUoS77PjjGVn+SPylyX28PbK4a5dUkGm5Yco9o0IQcwqk0hWn0RoqsY6i7DmFvDQFBNSX7szkBZfQ9oDAjRAMop97HNP8EnvDqrk9sKm7h9eQbfSPqY87MngoSo1oZSeQ4Ex1QB1ZJV7KeC0fw10PQOFC4FOQZhH/5ZX6VwusrX6fFCZ9ZpxKxZEPIQTq/ngGU+w371WDUF8xivvkotOQG7Mi/h7Xb1M1/qciBXnKn+EgmgVJ1Lm6A6IHT7NRwru5FdM3/G2cdWsmvmzzhWdgPdfvVBuKYyg5+dX8O8omTOqs3kyStnJh7gm4b0jNV9RZ03FsFdcRGvjasdan2eCMbkHBR7nhr06q1Ysivpi19Xi6elUDGpPLWsLJVZeeqaaArY2J31BXWDIjOWtYSft+bhCUWxGHXctLKENVXp2AwaZuY7uPfsaqZn2wFY7y9hqOxSHrB9h9+m3c5g2WV8HFDX8L4xI3uyLkl8ZiCllseGqhjyRekZD3BqVQabmod484BKrq/PdRCIy08Up5o5pz4Lg1ZErxFZW5OZaMY4wS+bjEhMYdAbYjws89RoNUHXxEN+f/5V7BxXj31zqJBA+kyeL/opv06+DW/GHLZqZ+OJwNKyFL6yuCghi5ORZOCbK0qYle+EoFvNdult8MXXYM5XwN0FbpX7dqhnnAt/u4WbXtzH918+yJkPb2L94b7P7OdnIIpQdhrkTur4W/ANyKwlEpU/V7Q1Kiv0jv9toethX+gzWmagku4nZ5r/x2HPg+b3YPU9CFe+CQY7aPVqJ+1J/J/hZMbr3wzbWof5+gt7URTY1DTEM9fMSrwtyTGFne2j9I4HEQSYVzT14vJKSdz/vprq/vKS4inbXBYdOU4jnSMBlpamYJkkaVFpHkO793WU4WaE5neZvuqnnBArBag2j5G5+7tERAMjdTdM0aXJi7Qg7H8JxT+M4Oln5pxpgPpwykwyEAhHEQWBzhEfp3+qgzPauQtdciGKJR1l7x9xLp2b2KbxD6nG0bOvR9jzBwyTSgwNtnHEDQ9BzcUIPXtJ6t0EVaq/oUEnocgR6DsAQ8dgxtUU6Pzcss9LSaqVG5xtCCPHUVAQBo+SmqblRMbrjPQhhL/+FCWzAbp2oAuMkb9S5S5lOkz8/JMsjEKUZq+OvdYK0jInOkdTlWGEvgNw/EMESYe5cGliW5pRgHfvh5zZEHIjbHsU16onAXAYNPzZn0973xBvtIXJtdZiy5wI2sTQGMLe5yBvPkL3TuTSs3DWqvYxxQ4FYfs6OP4BKArCtNVMm1EPgE0TQ2p/G1fjs1yaOQ9zz2ayVz0BqNvrOIJm28PImfWIu57CWdILeep5WJDUD6/ciWJKVoOv9bcx86zfAfWEA160zW+TffBZvpBaj3FgN8PWDChUBVYNgT6EPc9CwSLo3oWw/XFqys7BcPx1AovvwLjtVyjWDKLWHOwbboXsMihcTL5NQPzoF0iebvzFp2NqfoO5aX/APuNuALTN75BkNhIsOR2DAKt0B/h6XQMP7lG4In8E4f0n1DKvLQvh0F8pTK0AFlOebuWKt0ykWGs4t8HM44NOBttC/P5Ka2K9nNeQzex8B3qtSKptIhN8VvooWW98FTQGQq4KbPt/z1VLSgmGK5nuiJC8568IY+0oGbUIvXuxH3qaWcvVLPPW48NIopCw9llg7sZ4vB1c53GOaS/6kR0g6Yg4p2Fvf4ef15WSbFAzmXOKXJSlmWkZ9JNm05OdPJGpPC5ncF77WbSNhgGRVxxnckqSul5WOPtJ+UQ1qgo5SjAO7uX24j9hNdcTSbPx47eOTtH5eudQH3ML1ZLUG/t6efNAL/OLXQjAe439SKLAotJUpqVP7ZAGcJq1FKVYMMXc3Co9h2HoAFFLJhpvD/P33Ur+mieBMvZFc1gv3sr6nWrg0lzwbWIjNlbrtRh0EtcuKqQu107feJC8ZBMz8p3oNCJokmHNfSofK2cWZNVD+RmQpwZMf97Zhd2koy7XgawoeINR7n7jMDPynThMOqIxmYM9brpHA+Q4jVRmJqkkdP8YvH8ntH+iBnVhD7z9XTC50FadTX2eA7tJR5bdQExRUBTY2TZKvtP0mXMwGfnJZlIsOga9U0u2qyrScJr/iUKqRUvg6vXgKgVJA2c+pPK9bJl/d+hJ/PNwMvD6N8OwN5xIvbcN+wlHZeLySgQisYRBtaLA2KfalMcDUepyHCh8dlswKnNaVQb+cAyrQUMoMvF21hJOxpYxE2PTuyiZDWwNFTCZSXFcTiUT0AaH6dAWYIrK6OKaNh0xB3lpFQhGB0pwnH0+BzPi4ww6DVdUSfxwwzgXlEo4PqXn15M8i3xJQhg+hr/sQrqCBk4o3sQMLoR5X0P4+H6UJbcR0toTAqofjSVz6pIfot/1GPK01fSlLOLEbcYXjGLy9IA5GYquh2Nv0xkvTbiDEcKCHn3rRoQZV6DseppoRh0nwsj3RjNYs+o+dgYzKdYOI8gxvDEjDqBnxMsNunUow8dpci2j7tiv2Z/1ECc6hzYES1iRWonY/C5KcjGHKOJEY+gmdzpnLbkNYf/zkJRNrPxsDnnM5ALjwSBXyH9Bq2nixlXnUrTlezRmPgbkA+C1TcOy+BaEvX9AnnMDMWsuwbhlU5uQS/q0NUhyBEQNseJT6JJyyAY63TFe4Uy+ZXwTc/cmeiqv45mhadwW36fX/dWcVXc1ut2Pg8HOkfwv4vVpSQE2+PJZs+R7CG0fQSSIUvsFtgWLWAyM+iM4U4tRLKkYB3ZD0XI00gT/pcdcQdbCbyO0vAfTL0RJq+bR5lROrb+DX7TU8fNZX2XMmMsjR8xcW3cQRVtIATAW0eLOO5+IdRZ3tZXz49pagmn1FIRkHBowEQRPD+GsOeiiI4iBYarSzVy7MIXGWJQZ5aeDORVhvBuFGKP6LFyA1ajjyvn5vLK3hxd2dFGXa+fKBQVY4xzF5gEPz21t5/X9vdiNOr4wO4fL5+YhSRJ5RRWMV1zAPk0NbeRwluNZXh7M5K3fbePaRQXMLTsPm9GO4BuAmosJJlfRI2SSCexoG+VA9zgHusdZUaDnTPeDGPfthkgPho33I0gaulY9xsONRm61Pkssdx6CRt2nDxr7eX5LC+uPjVKcYuJrSwpY26CuhyyHnrIsJx1jfapnYX4KKXGFdFdGLqHMmRyyzODP4+XcZHkcbdFCjBY78vh43GlhKk7YSR3oHicYkXl/Uklxf9c40ajMjDwnt51Wzk/fPko4JpNs0fGz82pU142oiJBXi9vfxaOOm1mlO0R5/6ukpqsZx1BUZjBiANTA67hHQ2WmBk8ogkEnYTfpWFGR/pn9AsCSqv4HKucrHnQpipLg5r2xXy0TJ5t1LC9PY8AdxKSVeOjDZh76sBlFUblWN62cxvWLilQpHKNdLS9e9Bz0H4I3bwa9mZisUJlpY2/nGLv3q2VXvUbk5lXTEtksWVY43DtOx3CATIfacKCRRFJtBu46u4qv/nFPorKQatVz9YKCqV2H/wykTfLldeT9x//uJP7XcDLw+jeDUSdx+vQMukcD1OfZpwhoOsw6blxWwpv7e6nKSqIg2Txl7KAnmOCVuD7VSaOVRB6NCyRKosDamok3ojpnGMOBJoKn/AJ958c0GLshET5BodDHkdKv4NXYyYu0oJ+kAZal9SAMHYOe3QjT1lBumtC7EXzDLOp7lufrikn1HWOQJcBEJi4v3IoSDSAn5WJxN1PqmsTxCg0jHH4Fln4fYd/z6BdlJ8bl6/2EN/6WfZlnk9m9g2h0P9QuA9QMBo582PEYHPwLzLwGh0mD3ahqoGk9RxAkLay7GSGtCkmauERcVgMvN5n43aFRKu0ys3LtnFaunscUiw7JmYt+7CgNB++B2V/GOolvu0h/DLFrG5HF30e792nKwwcBNes139qDsO6nBItOQeMfRNrxOFUr6oEsbAY9Q+kLyI2OUrTjhwTmfYt+fW6iVSDVvR/hzZuRG65C/PBuDNMvxpe/HLQaqsUWpA/vJppcgiDHkDbcTfm5VUAKuUkavp7bhphxA76uA2TmFHK9sQNQNc/mmzrQbXwSf1oDpoE9ZLW/ilKm8riWmo7Du4+ghNwgGRD6DzJ7TR5QjkOvIA01IngHIKUMWt7Hkr84cR5SfE0IWx9GtmUh7n4GIWc2ZYW3sva9CtIsMcRqF61eAzlWgTSHjc0DbgpyIBqLceG7GgShGH84yIUj07EY4J3auOZazA97nsWW1QBDTShaI/PPvpCVRRX4D66DPX8AQUBJykHo24/DpTZUeAJhnt7czp7OUYpTrGw4OsCYP8KSEhcWo46/7u7mqc1qzXLIG+budY04zTrOqstm/6DMNxuX4YkIlGdoeWb4PJqHQ8Aoubtkppv3kdS9AznkRxw6ijcg4MrzASnMyHOwp3MUdyDKe60h/jL7q3zB823E9bcjSFq21v+aa9804QlFacm8AtchB7+eHmPMH8HS/h63mPbjzV7JN7IPY239hL3Oa6gtSKdvPMSe9lGuXViIgsKLO7pIj3ej7h3R8WLkCmIBB0FR4RnX19lzSMNvGmI4TFpSLFMtmQDs8QC0LMNGcZLMK41qA8BZ5RZknQ1NvKv6moWFLC1NZcAToijFnOiARaPDsuDLDJeuZVqflrC1Hq3rQkS7er3aTVp8oSinT1e9aXvHA3iC0YQh+9+DPxzl+KAPi15DftwHUxBUm6JDPRP3mmFfmL0doySZSth6fJhff9Cc2KYo8PN3jzEzz8mcomRY9C2YfgGklkNGjdpIklaBBDT2umkemDDfDkVlHtnQwh+unkUoGuOxjcd5YP2xhETE9YsK+dqKEsw6DaeUpbDpuiI+7Ddi0IgsSw9gy/znCr6exL8mTgZe/2bQSgLvNfbjMOnY0jzMTSsnghxREHhzXzfpdiMHukY5pSptytjJStuTVcoBnKaJdLdGFKaoMLeGLATzr+bGd8b44byrCERyOXPS2PeE+ezwDxKOiczJt3GBLCeyRBFZQhMJIOgsKHIMf4yE3U0kGkMaOkJOmoAycgRz9tSOJMU3gDhwCCkpF6VvL3LJRAu0ojGizLsR4cMfoyy7A0Wa2P/2sJWntDezfqdCrSuPDG0yv4hvC4SjaKMyhlgYRA1y0IMlJ5NXbsgh32Vm/IAJW9iLIEooYS9+jImuRku4n/MjbzCzKJkURkB2MOatwm7SE1VAP3gIhpugYCFsvA/d2r8k9umgto76sx7l5aEizls5jR7SE4r4H3myKGj4OQ83Gii2ydTnBEiSXeQAw14/Gd1vq9ILhUswfnAbpWcUcKJL8115JqtPuQ/x/R+i1HyBntwzMMeD8ee7Urh8+V0Y1n1VPfbTf8NL3clcUwQGUUZp34DS9jGGqvPh7VtIPu0Xif3d43Whn3Ezr0irWDztIMMRHSYvOBzwoa+QVeVno/H3QzSEbElng7+YUwCNyY6SOx9sWTB0FKVoBYGkQk4Uw7aF8phdewW/9CzlC1UdGGNeGoPJCPj442owrruV+dZM5lrSkA5+wry1jwGVjAUibDjdT5Lg5ZwtBbw6t5mOmItRXwibUYtsSUeafhHsV2UJWPFDTDaV7HxYmEb9gpsQ3rsDITCK0nAlTboKyoDGPg/T0q3MLUomEJVZVZnGsC/M4T4PswqSOdg91QZHVuBQj4ez6uBwr5uWkTArylPZeGxoCofHYDIxKDgRrdX8IfNqzgu/TEQw0TWukA9cXCpwUWAbP+puoMgW4by0foTGuLSHHEMOuokp6kN5e08Y09AQTQM+ot4RSjpfxNG9gUdzmkja9wFhUwYHC1ZCQTr97iDzS1y8vKcbjSiwsiKNsYCa3e4fHOVLpvdp1VfwWFsq39Gup8RVT+dIJeFYjNWVafx5dxfBeLZ7VcWEgfpXC/vIOfIkF6y4iLAssGjwEXqmXYksKwmR4KJUC0Wpn7XO+ahljN981MfW4yM4TFquW1jI5fOjmHQazq3LZv3h/kRmymbU8PhlMxIaYH8L+zpHufP1w+zuGEOvEfnykiKuXlCA1aBl16caAQCODXgZ90c41u/5nNngSL9bDbx0ZjXoAjUdlqaWW2Oyws62z8475o/gDkbZ3jqSkOQ5gd9uPE5DnoNVZS7Y+QRpO5/iovN/D54++MOVcM7voHj53z3Wk/j/CycDr38zzC1y8YsLahhwh2jIdUyxF5Ijfv5QvoUOWwMFo5vpV+zARJp+ToETjaQKjc7Ms0+ZN8koccW8PLrHAjTkOXGaJm58Qe8YFZ4t/GJ2PrUcpiUW5kSpC2BL2whaSYdWVHjn6AjnzpwgpI9onGSVnwkhDxisjGqz46Y/EAWU3Hmw+QGE5GKimqm6Y2TU/j/2zjvMjfLs+r8Z9baSVitpey/e7nXvFRsbU00n9BA6gYSQBEiDNCAkkEIoCS2hl9A7Njbg3ru9u97ee9GqS/P9MVppZRvsfG/el5DsuS5fXunRM5qmmTN3OUeuw2rbjjTjeoJja1ADXoTPHoS5t8LaewjP/1HUj1GjFEhJzUTT1kxfWMe8tFitm1alxOcewDP5Wvos5SS3fohB8ESflo3hIYTEHMLzf4C452UM4dhFWqcSEY028kQlhG2EVTpGIiTH5/NjchbDvldgzytI067GqohpZFUFtiK+/QPOmX8Hwvt/IGP6dYBsCJ5oUHPR6yKBkI81gFWv4++V8nH1ByXInImkNyE0bUJa+GM8YiySuUSxHfHdO5GmfBPhwBukiAoCRXLK5XR7B9rP/oKkMSFIYbTbH2PZnGwgDzRGWoqvIr1pPYotjxEsOYuD5oWMavxvG7Fyx7YpDHm7uF+VTJpFx0OVMlnPplXuDG3dBIICwVFKnm0hUExXZytOVzv4BuW6s6796D2xoma/oGbQF6bbI9HkEklAwezSJC6ZlYsogGvRrzB+cAuKvlp8M26hM30Z2cjq/sZDf0do2sDbky9HfO8xcisvwFsh37QETx8ceheUWgh6Ye+rjFiLMNgLKFB1I1S/K6+AUgP7XycrQ66XciZosBnUfLCvk0OdwxQ5TZxc6sQZUWJPtRxxTgLOSNeuPmLn1djrJtdu4GBH7FxpGvTzw8EpODQVrK3x8pn9FCRByR3TZBqf1Lketv6W3+UuRqGyIu6tAykIZz1G6OO7mFb9O66p+BMvHVbR2u8lN8mAw6SmV7TxmOkmbrE0Y25eBaKCd4rvRR1xk0i16PjLZ7HuuZe3tXDTIjmKXKZuJaf6cfKRmJq5FMuBt7BlLCSoPon+gJZ397Qzv9COQpS7Grc09DMnojCfOrQTseZ9ZnYfBFGB0HcYp6MUUVwW/a5wWMIbDMkm4BH0jchWZKM+jv3uAPd+cIhEg5rzp2VSnJrAi1fPYGtjP4FQmEkZVrKS4iP1vkCIIW8Aq14dbSZy+QL8+PV97I4QY18wzIMf15CZqGflpHTK0s1Uj4lMgaxdp1UpsJuO7VFoNx77/VEoRIGytATqjiiwV4oCNoOaNYe6jzlvb+sgSzMFqPkIug/Ac+eDu1tuBGnaKNc7Kk4swjeO/wyMdzV+zdDU6+b+D6r52Vv7+ehgJ+Exssc6rYEeyczkj87F39uAwhBfXF/b4+aNnW28uauN2jHCmQCf1/by1PpG1h7q4Z73DvJ5bawTzaEJoal5hxmD76HZ/jh5mnh7jGybgTd3tfH27nbSrTpZxDGClFAnwoG3kAgjHHqXLCEm/qhVCIRbt+NzVMJgCwTiO4OE1m1I3QeRtGaEHX/HxJgLnkIJCSnw1s0ISYUIY1KCSlHB2uouipMTUIgiHWM6joJSmPt65/ODtvksfi+BP6mupDZojy03HARRjVj7sXwxDMVSLzZhUFbKrvsE9r6K0FOL3y/vx7AgEHT1yt16Rgc0bqAtELuB7BEKkTJnIn50JxjsNJsmRsfaB7z8fnkSs7LNrCy18IPZZpp6ZUFSq06BsmUjwranZCmET+/FIsWiMN3qDKSJFyNsfhTJmEIwcy6eSLt7TchJMG0qQulKKD+XYOoU6oJyFLSrf5Ckjk8RRnpAbUBRvwbnwPbYMTdpmJKdiChAmkXH3IIkkiJFwAGlAckxgc75v6Fp3u8Ip1TiV8rb6pHUSEG/rIe052VQqAiOsSgvULTj2PMYd4/8gtk7biO380MkVy9JJi2JngYMh9+WPygqUB9+n2y3rO/Ur7Dhnno9kjYBcdMjSLZ8+grPIyDKsdUgaiSDHZb8HGZ9GxRqOiOnuN8zKFsCVV1MeOo1CGojYlA+J9oGPBhd9VyX04FKIXBdTgcmV0PURP7sUjNvntRPfqKC8wsk3lnuYWmJXFcUliQWTXBQ0+ViYoYl2pAiCDA508r0gmTWt8u/zz09EhMyk+mP2A2FSlfirroKVd0qxL2v4Ku6Ai58ESrPp2Hxo1Qv+DMNITv5diPfmpvDZbOyCAMFDiOXpjajGYz4JoZDzPatY0GOXNx9LOualn43z21sZO1IBo0nPQJBH5a6t/DbStha+iP6gloaekc4uSyZD/Z1Rrsa06w63BHfxL6c05EqL0QYaEDoO4xUupK+vFjce1NdL9c/u51F96/l7rf2RdNx2xr6jzLPBtjbFnsv2azj1IpUzqpKP4p0fVbTzWVPbmbufZ9w0/M72NksR5xqu1xR0jUWG+tkfbSVVXIH5licXJrMdc9sRSEKzMiJT/HNyE1kRl687uGxcP7UTNRHeF5eMz+XQqcJq/7Y5MlqUIPJCaf9XvboHGiQSdf0a2HOzeOk678Q4xGvrxkOtA9Fn7ieWt/AFbNyosrHZlUInXsXvsx52Pu3k2zwxM1NMqg4P6Iqn3jERSIxsgx/KIxFr4raEAH4FTqkouUIq++GnPkMqRyMfTbc2TwQ/Xt9bS+D3iBazahlkBHjxAsRQgGk8vNp82gYjYd1BAzklp3L9mAu5YpG+hV2xlAgpOxZiNuehJ5qpLMeo03hZPRyGZJExM59CKYUpM59BFBET2aFGObnhfW81e1gRc4IAbWHO1+TOKnYwZRMCz9I34XodPGDsjSSPbvYoTQDkWJfXTI6ZwlC2w6klIn4DanRbe0IGLBVXigLEaZUIdmLCQkyGfEHJQSdFebeBioduLpQCDFSnC81yZ2UagNCXx0p/qboWJG2j7LPbiI753x03i7MdYeoT71P3ha1DnfeMozV7yA0riM089t0a3MYvUU4pW7wDsodnOEQquEW9JEoXLLUhejph4NvyssqPQu71AvkEQiDqFTjq7iY6tQzKT30R5Sq2DkhSRICEktKknH5AviDEiOBEEmAxmjGP9TFQUnAFRZxDrVCniwPEA4DfYehfRcULYftf4O5sQjoc/2lXF5+HSm7HwJRyTspN2JRWOTBwVYEVyfMvAlMToQtf4VhWR7AoFai6dkvE0VAGGgiwdVAWCl3ldZ7NBRNvJh3u5MoEYdxJk9hIJIkrvHZSKy6FMXaXyN6+pCW/JLDARslgFHwcWHfw5i6tlIw83ZKd/+aYccUGngIgKmez+HzG3hl8k3ounehWbsO8j4CJqNVKTjUMcypFSm4fAEunJoBgqx5pRIFLn58EycVy0RXFAQ+2NfOqRVyBLq2eh9ZDZ9G94t71xs0zv8VhcCOUDa/fO8A/W75IWVtdQ+Xz8piVl4SYc8g+qY1BA2p7JvxG/IO/Blz6xoCw1eAyUKiPr52E+Ro0I/e2EuFXcHJabHvVA8eJnHkMAZ1CQpRZNX+Ts6YmEogFEYpihzudkXFWhP7diC0bInOFdq2k5i7B6ikunOYK57aEu2IfGJdA/vahnjyiqkoRLk8IjDGMgc4Id2qA+1D3PDsdoZ9QSRJ7qTc0zrIq9fNwqBWRh08xmL0Wtg64GFJsRODRonLF0ClULDqYBfdwz6+8+JOnrxiKit6Rmjq85Bt07NoggPbCXQXzs5P4rlvTWdNdTdDngCTs6wsLnYgCAKz8pPIsulp7I091NpNGuYWRPS9emvla8Ao6tbC5Mtjac1x/NdgnHh9zVCYbCLNoqV1wMsFUzPjilCHQip2WE7lbz06ziscItNrZexPuqnPE/W6u3J2dtxyz52Uij8UprlPLtqflR8TA1SGPAjV7xGccjWKg2+QEIgXS6xMt7ChTo6QTc+1xVlg6EPDCGt+DSkVCAMtpK74Q3QsReMm8PnzVEghTL27GVj4h7jlCo0bkYzJ4CyHPa+SMb8MIpTDG1agrjgX9EkI7h48YYXc1ShJWMODFHS9R+lQE/rmOvZX/JDXdoR5eWsLr10/izxvP9qtj5Km1hNOKsKeeWb0O7WedoQNf5KLsBs+Q7PsvuhYrmYIDr6FNNKD4OlDKF2Js0h+6rcZNAT8bpSNGwgNNiGWnE44GNMlE5VKqDiPzpRFONo/gTFG4sOqJPrzV1Ky5S4A6hf+kRGFTGQUUhB39VpMPhdDqXNI2PoXsM6Lzg2HJRSHPwaVXo4yJeYSFATUgE+ZQNg7gDjpUpAkwoOtBNRyDY7LL/D3vpkUmyZy8+t+3jnvB7zcaOFnERcpm0HNpSUK9o0kkG/wsKPVhSOSfsu1qlEkZjB/3z0QChKuOI9cq3zMhXAAKaVCVsvf9CgkFcgdZxFc5qgm5b1H8VkK0Awe5vSex6gpuEcezJlPaNrVKD76CfiGCS2+C0XBUgAGOhtJ7NyNlFKJd/otaNfehaL3IO29/WQmJ7EmWM4ng1Z+s8lNnrWUb5SZyFLLJCdZ5UH8/FGZoOqTEFbfRcYy+VzTGcysSf0my3t2U7r1ToLaRNakfpNiU0QXLn8xvoJTsWyTLZzci36BPkXWwJuWk0ih0xitT9KpFDxx+VQq0i009oxw/0lW1L5Onm1xckZKLxdk6aKaVNre/WgHathW8TPM3hbyD/+Nrt5aKCiisdcdZ1MEcnfet+bkUudScN/w+UzOOItfvw3n5V9HkjVE1YCFJamQbtWhUYpRkU+jRolSFAlLcH6Ol5QDLzKSOpM9qecxY+ftZDa8hK9sAeVpZpaXp/D0hsbodxY6jVRkWOQXg80ycSg/Vzbx3vW8HPmSJLY29MXJUIDsKbu/bQiLQcNpFalxNkc2g/qo5p5jYVdTP49X1dEQTuLH2408PLULv6RkV/MAS0qcXDk7Oy6tqlGKUaL78tZmtjYOsKI8hXf2xOt3BcMSB9qHuHpeHv8sfMEQjX1uVh3opHfYj16toCrDglGjIt2q5y+XTOat3e1saehjYoaFUytTyXeY5Jqud26VI10zb5IN0Gs/gk2PwSn3jUe9/sswTryQw959Lj/TshPlrrd/YxQ6Tbx0zUy6hn0UJZviWpEHPQFe68lAbQzxsdvOSQMhisf4oLaNSbm1DsRHw1yBMG5/CH8wHCclAVDvS6Cz8Fbu3ani+1MXUT2Uy8VjxktTE7hpUT6+YIiSlARZJTwCr8qCPmc+wqF3kKZfRx+mqFVRjUvNUNq5zNh6C15bKZv8ORE9dhmSNQNx0iVgdCINNNAZUjMqOWkQA0gICEkFSE09GEU/tG6H2o9JTl6IwZGJIA0h+Uxo7DkEQrLdSp/LS7HOAEUng6hCkEKkm2LHvEtfiHPCqQi7X0SacDp9pkJGE7Z7wkVMqrwE1fvfA6WWwexlBEQjBkBBEHXIDYnZKEpOQ6p+n9TUmFlvUO8g2H6AeuNJmHub8DmnRxsQvF4fujG1ZNrgMOGQfCMb9MNW1QzMleU83+bkuxNr2eZKoijyWUFjgIKTYe8rSJZscBTHIm0BH0JKJWx6GAQRcfp1SAFfZP95+a7yVcSOJqavvBjn2qu5dfYdEDF0Wqzeh3XVrfiKf05F/T+YYU1FJ1UCSuitQaz+QG7fV2oQ9r2GKnMWJBciKLWgNkJE5V4KBgirYhpHGgJQtIKhgvOw9u1A6RtGFTldhkbcDDXVke6R00m9tZuRcs7EmWqmi0RWq75BecEIFzyv4P0zfsE/WiycH4k4GjQqPh80cUqZGVGAXUMChZFUk1Xpg6RCuenB74LBVrQKeR9p1QqyEwSUET9DZdhHToKINtJcsquhk8yhPkZjIR2dHdDRT26anUSDht+eV8mmuj6GvAEmZlgoSpbPUF3YxfRDv0bTvg1l5d1M3Pk7BLWBnqy/A1bubSrl1ClPcsdWHWmGYq6qnMPu7mx+CtEUmUmjxKxX0dLvQSmKKBUCYkhgVTN82CjfqF+qFQAlj0+Rd2J1l4ulJU7CklzT1Of28/ZuOWp452YVmukP4tEm89NPXTw4/Y+s7TZwo9JIslGDSauMi3iFJSnaGf2ROIdly+5DrH4PQn7Cy+5hta+UpYKA/wgl91EIAhjVCrQqWXDVHwqjEgUEQKM+fpXLLE0tmTtvZ5LaTNnUmyne9StQqGkqehtBSOb6hfnkJhn4vLaXZLOWk0udTI3YpKmPU5yvGHON+mfw/t4Obn1pV/T1I2vrqOse4Y8XVaFRKihMTuDW5GMo5JuSYeVjcpRr+rfAMwjbn4KJl4yTrv9C/NcTr5rOYc5/ZAMj/hD3nl3O+VMzjz/pK0aaVU+a9WjBvmA4xIbabhxmHQ29I8zMia9ZmJNv47OInEQ0/B3BWzvboi3W7+5tJzNRx9xCuZZFKcJb/RmodS6ebddQkR5/ofjkUBefHOzEG4SpWSaWFjtQKWRaIQaGobcaadk9sPkxtNmxYtx8vZ/84U/YVfkTckd2MkfbwFiZCiHghdV3y/YylReQLIwhi1IIDr4N254CczpC8hTZIHfzX0gJPIiUNAFy5iL4Rkh17UevnkyWzUBukhGh0wU7n5Of3HMX0D/QS5JDtitKGqlBOPAm4QV3IK7/A5b8kxgtgjeFu1F+/luaCy/H5jqEtuYd3OnzwaTFExJRqw2w63k5GpA5K+6CWjsoUD7YzIyPVxLWJFCTfWHUdGlWmoB213Zq5j6I1tuNtXMrc6bJZuIGtcAady5v724nFA6yri2P25fH6lNEdzfC3ldg+nWyX2PDZwSzlqIBNMqwfKOsvBDCIYTaj9AknyofU62JcHIF6j3Pkly/GslexJDaEe3g3DloYKbKwtLN3wRRwUb7fSQPSWQnwWBIjz0pX67hAoTchQyHtViRUz3h5q0oLFmQtwh2PU/YHfMl7FBlYU6uxP7RjZA9j8Gsk1AY5QRzX0s16YeeoSHvYgZ16VQe+B0NbRdBajr5DiOfadK44ANZAHjZG3D78mRSrXLx++7WAT480Bl3Xs7Ks0EeBAUVjHRDx04wOEAQo/WE6boQSXXPEFLqqZ/1G3I2/5T8ur+jnSJLYCT2bMPauZ49pd/HMbib3EN/5WDuEkhbII8bNCwvT+FIdPo17Eo8myWt65m++dsgKlhfeQ97G2Dz6q2UpJr57W43A54RBjzwnR41vztPjrLNL7TTNuCldcBDr8vP5CwrFelmnGYdkiQdFemZmGGmKtMCwJz8JO5+ez+SJD8Q+YPhqLRBWILbNhtZXmYkGB7mxg0GTilLRiEI1PW4eGRtXdTzcRQLixzk2o1MD25F/OQntGesICwkkPb+D5ky8w5gHha9CqteFRelm5JlRSHKJusvbGkmHNHLGtUgzD1G9+ORCKdM4kDZbRTvuY/i7XeBILJz8t1kpMsPB1a9mgunZ3Hh9KO1qc6bksH6w70MewPYTZo4jTKNUmRG7j+v3C5JEi9uaT7q/Q/3d3KgbZiJkWPwhUibJEtTCIL8cLLgDvnvcfzX4b+eeLn9IdyROoZBz/+idcP/AQIBiUtn57D6YCenV6YeJcy3o6mfy2bJF6ltDX1cPCM7OjYyxnjXEwjFGfH6gmGe2diIUavE7QuRao7v/vmWbTeXlvcwojBjF4cJBGMekC0+A7nlF6AYaiVUdSn1HkO0TmvEHyQoalAm5YHUzEjoiKdgpUYmXX4X6BLpwxQlBgGlCY3RIStXm1Lwqs2o9IlgzoC2bZCYA1qzLG1gcnL/uZWUpCRg1asYMRdiVOnkdFZyJftCaVHz7TYxjfTT/8T6TiWzTn2QTsEWFV81hIah/BzshhRUHisICkJBuVXfF4KQMQVlZLmSJZN9PiejZkVpYj9KvRn6Qgg6G+nimLZ0SyZ/S/spv1/bj1WTyo2zl7BSZ0UJ+EMgCnDFrGxcviCpFi29wzHx2yZ1IZmn/xFh1d1I82/HZ87GJ4kYgEBYBGeZvP+QwFZIUJL3cSjgQ+EbRFIZEEIDCFoz+mCsWLndr8Olz8DQtx+UOppDiZgjhdZbvWmcnFKJeEjuFJScZWz3pbMY8Apq9iedyYyQB3HTw4Rm38p7vgrOjizXOXIQ5Sd3y2SwZQumroMMpMwFLOwLpvJh7m95v0VDiwtuq3yCQXchV0EkEhvi9Eo5IqNWigx7/FGicKR/HhCVd+j0a0nKmiWTr/4GcJbiViViBtCaUM6/Fc9AO6sGSvnGyb9Fa00BrXym/W1wIitP+hvPdWSSk7qQqvyL2TCQyoSjvi0e3mCIwx4jC1RmVAEPKDS0SjZ2Nw3y8YFOPj7QybXzc+nY2IhepeDa+XlR5wa3P8jexi4O9vjxBcME/V7sxkgqVxC4fkE+eXYjB9qHSLfqWVIaUz+3m1R856QCGnvdKESB0tQEXt/Rxo7mAZwJGs6fkkFzv5t5BUlYDWpqu1z4QmH8Qeko0jW6HQDPjkzjvLm/4vmhSnxhgSvmTueFoQpuliSGvUHmFthx+4N0DHnJthnoHfHjD0ooRSlK/MZ6LoonQDiynVYGc0thtCxKqSUnrwiz8fi1WMvKkrk/VMHj6+pZNMHOoDvIxvpeJmVY+ObcXErTzMddxpGQRamPNk0H8IeONi4/JsZu9zjp+q/Ffz3xqkg389glk+kY9HFyqfP4E/6NEQb+sKoGXzDMtsYBCo54qqxMt/D+vk7CksTysng16AK7kavn5eDyhsiwasm1xSJqOpXA707NZFOnRGWihFsZf+ETLRlM3HwHBNw0LHsaacwFRatRIvT2w+aHYf4dcVZEbsGIVHgypZ/cSaDifHz6IyIHoSBMugIUCkDAHIql49TBATlysfIvsPmvGIID8k3VaGdo5fOYNt0vdyjWrcE//26WRNSv3b4A6vatBHMX40uZhv7Qq6Q7ljCqML9vxITdt4U5G+/DO/O77NVmR4lXuyqTNKUe7cd3gELNyCl/QmuQb9AmVRhF8wak1CqkvJMQNj3MxMJTGDUTNyjD0F8HM2+Ag+9GTZoB9rUOUqnt5rqpSSSqApi9bTT05FGUnIBerUSvVvLXz+UIR4pZyw0LY7Up6f4ahA/uILjwxyi2/gVN/mKCWbJYrEqpREqpRKh+P+qLqFLK+z/NpETq3gv6RCg/B7Y/jaki1jW6wtJE4oaPaZj1a1IO/Z1T3f9AlyRHKxfqaxHefwipcBmSSo+45THmrpwFFJKskzC3v0SwZSuHJv2C8g13sXR+EiDLNyg0ermza9fzcsRx5k2MNonlO438+j0TLf1yZPOnW1U8/A35HJaAv21sjCvSdpg0XBOxvpqVa+Pt3e2xiIrdwKyIaXGe3o3w8d/BnCmL5+56AaMtkqz1DqP87F6MzZu5Ztk98O4PZQuac54CrYlESwIr3lESluR0nd2k4/snf7nsAECVXUH50COovN3UV95Kzv4/s7L+Lrry/kykb5MP93Wy+rvz0agUcc0sDa0d/MHxFodzJvJaVzI/1j7PZmk5Lf05pFv1WA1qLph27Mj85roBOoe9rD3UjSgKuP0hTil3ct85FXiDYc5/dAO+YBitUmTEH+LsSWnk2AwEwxInlzr5YF8saqhViUzJlB+TklPTmPtaP3q1G0GAJ3w5/Oz0TARBYEpWIr945wCiIGAzqnmvvYOy1ASKU0yoFSILi+x8MkZqQRBgavYJCIc2bcT89lUgiEgVFyDseg7z65fAlR+AvehLp2pVCs6ZksGplakEwxJ6lYIhbwCDRolKcfw057EgigLnTknnrrf2x71fnGKiOOUY6cVxjOML8F9PvARBiN6Uvy6o7RqmY9BLeboF85jieo1SkO1+In5gYzW+QLYYGvIEEAQhrvMGIIzEqoNdHO4aYVmpk8XFMRJqEb1U1v6cNOtiiqrfom/KLUBudFyKdJ6F1QkEeuoZW75hkNwI1e8iTb8OceczGJfG6p4maHswfPoglJ2NqvYjJphSgJgfI65OaN8up4e8AwTzV8a+UxIQCk6GoVaEomWERaWc2kqdRG1TH2W5S1Bv/ANCOIBvzMOoUhB5TnM2hzwdvLcGfjL7LnRSWtSKaIa2Ht2a+6HqUrSb/sD0JdmM+lKWabtQdO6UU4jhALq+AyiVKwDQabUELPkoFBoGhkewTb+GYW1qtD6sNminpPQ81JseIVxyFk3KzGidljPUScHmG8mwz0Xv68YgeWgtKQcSUIgCO5v6o5Eetz8UFy14tH86l57xJHfusXP7nEy2D5pYpJZv4kZlCPGz+yExD6QQwue/xbRSFqmV1AaGck/BHPTBjr8TnnULbcayaI3dB4GJ6Cc9yQ8/03Bp/g9Is1o5Fw06YJWvmAXLHmC7J5nhkIqFBafyrqdMjmqpdAgn/ZSOrnaqfRmkFUzEkhkzSK4LJzPR65IFJsJBBkULHqV8E67vGmFubgIjQQuhMKQa5c66+UUONEoRnUpBIBSLSica1CgjUV2DRuTmRQW0DnjQqBQYNYromCckoq24AGGwGSnkR5h0CSGlXl4HrQnm/xCeOxfeuB50Vvl1JOK1p2WQsYGg7mEfLf1fbogMEFSZ2F9+G+aiTu6pz+eWueUMBgR++3EsqmjWqbAaNLL34BgUa3pJb3yNrOAzTEuqwnh4M1WliWjE5cf9XlEkjjy9vbudDKueAqe8PY9fNoWn1jeyr22Qy2encuHUTERRQC0K3L68mIxEPW/ubKM83cw3Z+dQFCEUKypS8QXC/PXzekJhiZsXF0TdLYpTE/jLpVP485pa9rQMcubEVL41NxeTVr423bmiBEdCHa/vaCXbpufmxQUnlupLLpML0Z1lCMWnyUKmSh3Y8o8/NwLtGCFoyzE6Pv9ZnFGZSvughyc+byAYlpicaeUnp5VEt3Uc4zgR/NcTr68KXn+I5n43jgRtHHk6Hva3DXLhXzYy6Aly4bQM7j6jLPoEp1QouHRGFi0DHpwmDdYjlpucoOGMifLFMizFpxWa+jwc7pIjHu/v6+QbM7IojPDRroCWQdsyZmz9DgOZS1g76Bgjnwp2m53B5X/GLWhJwcPYYHxT2IE1fSrChj8Rnv9Dqr2x1F1ryIZj4jcQPvghUlIRg+YixlalSSlVsqSAdx2c8RDNASOjlWndmiycphDsewOp7AwaSZGpoM5CAk2oXC0EZt6M0tWGVYgJKQqiQLC/lQK9hy6bDoOnHash1vspGRxIC25H2P400tzbkIwxAmrUG5A0Jph0GQR9CAoVmkgEKRQWaFJlkR+uw9a+mpEJZ7Pf54h6Wobcwwi6RNYv/geTvJsIe2J6S9sH9Dhn30nax9+T9/fyv1I7rCIHmTx/f1kx1z+7jRF/iJOKHXGkeIo9SE9zNUMDClrb28lNNkCElw0GVDinXoPiM7kzMzT/dgaDSlKBnsFhgo07CPsF9s54nFm77yRgqATkNPHWlhFe3a4EQjx6QIVw0EVRUT/Tc5OQJLh6WzrrauXarUmZKVw0LbpK+Ft3I7XWsmPAz2LTB4xoNJhyIuRV1YZisJHaBX8mo+VtEho/xDL1fMBCotLNDcG/s0s3gyafjnNd73Aw9Vr5HDNpuf2UYm7/h5x3EgW4eXEBuohY5ycHe3ltZ6xzDmBihoVMm4EmIZUEvR3lxocQgHDVpdSLWVHiS8grR1dB/j8UI1bHarZxmI6f6mrsc7PydQ8qpZkM6wi/9CfTNeQjLMm/MUGAb83NPYp0AajSJ7JpygPMWncFxs7NDGQuYXvmlZxmNhz12SNxoP1oVfb2oVht5My8JKbn2AiEw0epw2cnGfjRihK+c1IhWpUirlTBoFZyycxsVk6SZVeOfKibV2hnek4iLl+QRIM6rsEm32HknpXl3LqkEINGgUFzgtc7tRHm/wBUkQjjtGtAVMj/viIkGjXccUoJF0zNxO0PkWs3xAnGjmMcJ4LxM+YrQCAU5oGPq3n00zrmF9p54LxKEk+gbgGgrnskWov2zp52vn/yhJiOl07F2pputjXKFhovXzMzbm4gJPGbDw8BcNvS+FB9ZqIeUZALcNMtuqi/G0ChWcLQ8QZ9WctJ7FjHvInxRcwJvbtQHHobg8aMYC9AKDs1OlauaEI4+A5S7gLEnc8wc8UMoBAAuzgIe19GSp2M0L0f/WAdEJNKENp3IAHYCmHf6xQsrGJUb8vha0B46yaksrMR3vw22Ssfi62QUkfYkovqk7uREhztRCAAAH9KSURBVHPxpsxm9FKvUoqcqdmGufYZTk8sx1Rbz1DVFIhQOounGWHVXUiFyxBW303Cqb+PLTfkRQj6ZQXqUACh9EwIy+G0IY+XzM7VsO9FJEcp+nX3kresEEgDwKnxovrs92gq7kJx6BlsU78bXeychE5Mnz+HpLMiBL3Yal+leFYFRPo/5xfZ+eiW2Qz6JDISVBgNsWOT5D5M9paf8Wj6bNRbP6Ot6lY0VfPxBUOgEAn0NiJoLYhI+LobEdLkm5ZGo+Wh4GkEpAGe/TjET+f+EddICjdFlmvWxV8a0q06khPkQva+ET9D7gA3n5QPksD62m66InVnPo8LT81asvY9zo9txWhqDtBuKYwSL40xEcrOJmfvH1Fo9EjpUxFE+btKE3wouzeyYvgl/GozyqCbiimXRdfh3MlykX1T7wgFDlNM6gAw64++lCnFSD1bMICr5jMsIKdcD73HiP10+UPeYVj/kFxPeMYf4Z3vwfo/QfJE0JpYWZXGmzvbovVPOUkGFhTZj/quI2HVq0g0qOgbCVDXPUJd9wjzCpK4cJpsYl6VYWVm3rGjPhOMHnw9r0VfW1rXcMrMOogThzk2ilNMbKrvi3svxxZfciCKApovIS9HkqoTHdOoFHFWY2MhCELMv/GfgWrMHOX/PGL1r0Ku/fjNAeMYxxdhnHh9BRhw+3l6QwMAa6u7aep3nzDxqkg3U5FmZnfrINfNz4/qAgEk6FTcsriAzQ395CTp425MAHvGKD3vahmIGzutIpURX5D6HjdTs63R1ARASnIyzVNvYVWvjVnlXThzK+O3xzkD+6aHEP3DDE+9HmUYRo1WBjXJWJfdgxAOIYkidVJq9Pax120hbdLl1IjZ5IabGFIlxwmzSsmViKVnwXAb4eLTOeR3Mlq2HzBkoC4/D2Hns0jTr8OtS4v6AWqVAqJvAOZ+D0LxUg0Aw0XnkLT3cZJaPqJjxdMkp8XSpu7k6RgqLpQ7BEvPxp0yI7pcEtIhuUL+p1DL6SiNHIVINOnx5S6AA68iNG8kvOjH+A2xmrUNngzmOecxect3cSVVstpbwAWRsdT0HMiYhlByJgCCb5j0tJjpN3teIdXVSWrBybDqjzD722CTk6Mf+ko5t/xb2HY9QsCSy3rLCorbh/ndx9UUqvv4nuBhYMGvCAb82No/RZTkgnOPz8/pyg2Y1G3kzFjM2Z1/4GDhNYyS4uVlyTT1eVh1sJN0q45vL8qPqopPzbGyo3mAP39ymLAEJ5c6mRbpoO32ivwtvIIfGN5G03uA/tzT+V1rKb+JbIpL0mAIBVD0HABRSaD8QtSifA4b0krwLbsHnjsTdcCN79Q/klA0J7oblAqRqdmJUcmAsTBqlExINnGwYxiFKHBaRSqSTNsZcrkQvQPsKr+DJlUup1T/GCniOIDWBMvvkQvv06eCOR0M9miqcU6BnReunsGWhj70agXzCx3H7Cg+Eo4ELT87vZRfvL2f4hQzNZ3DLJzg4IrZOced6xnsQtGxh8bcizhgW8KS3d/B3boPU+HS40oPnFWVztu72+mJlBtkWHWcXPb1rl0dxzj+JeitA2uWHDENeGG4XW7C+gowTry+Alj1aq6Zl8vvV9VySlkyWbbjpxBG0e3yo1IILC9L5kD7IP5gOPqU2dbv5q6391PbNYJKIWDQKDm5NHbzn55j44P9crTqyBqL9Yd7uPP1vUgSvLNHS0W6heRI92Jt5zCXvhumbbAZhSjw4xUuLp8de+q3dW1ASioEbQLGhg8RipdGxyz+doQP70RKzEPw9FN48j0QSfJk6bwMbvoHGb4+VAOHGFn057h1Etq2IzVthIRUhF3Pk714KqORKZW7GWHPy0hVFyNs/Sv6zOmxeT4XtGxFGmpDGG6FuT+MW66p+jV8pmz6HfOw7X6MelspObmynISufZP8vZUXIbTvQte+AVJlMsJgK9SvlcUPfS6ouhh8I6Ax4PZ4UdV9AoCUMw9h3YNoTp0MyAa7RbohLP17QKnFOHSYMv1AdH0GupqxdNci7XwWIRyCglMY6O3EkpIrp77cvfDBHfDpb0BrhWnfjM5drtuH7dNH8eSdgq7+A+YPvcWLBy9k1YEuNNkSgyoPiR9/BySJnowlhCMkR68SMKsl8nY9RoH6WUKiGn1JbB9NzbGRkqDj/CnpJBpUVGXGyM6gJ8hrYwQx393TwTmTZaJoFAN8S/oHipFORpKnYa17k1vmzYXR/s6BJoRdz4N9AvTWIu59hd6MRdj0Fug8iLphFVL5eYQDftl0vGEdZMfqAr8ISUYNM3ITmZaTiFohcqB9kMxEmSD5zdn8Qncbaw+IdI8E2V3xJ/T+jCiJx5ot/wOZfB2BKdmJTDkG2TseCh0mpmbbWHOoiynZiVSkx3fSbazrYcPhPjQqkfmFdkpT5fG1A3b2Oe5mY7eKrQfC3Dn5T2xtTuSBsIDuOFm2ygwLr143iy31/SgUMDU7kfQTIIrjGMd/NNp2wgsXw5xboOobsPHPsPtlOPfJr8Q5YJx4fQVQKkRuWFjA2ZPSsRnVJ17zAHQMetnWNACARa/CHQhFiVefO8CZE9No6HHjNGsYGIlvfV48IQmtugxJgjn58TeS1n5PtCOsbcDLgNsfJV7DLjcPV9TymTuLufpGurAAY54UUioQtBYI+wmbUhAUsbtDtzoTR9ZshEPvIs24gZ1SfvSG1ysZGXGewrTtt+FNLGZnIHPsUgnYJqCe5ARRQRio8yZEi9WHtakkLP4JwroHkZb8km5FKqPP9VtcNmbnnol9zfeRDHa2KSoZpWUeXxC/2sxg1mIa1MWYB1fTORKOfm+3mIgzMZf1SecwKzBCv2iL1pVhSJJFQxs+k82Yk8ujEYg+T4heywIqS8IIbdtxzf0J7/elckVkam6SDn/qVJ7Xn89pnjfJtMYinHtDGUzMWYqp7mMABnKW0RayyqkxRaRpQG+TCdi0qyEpJmbQpMrDP/Ne7jiYy3cnL8PkzObAIbmm7eNmBRfPWMGs5o/k/Z17Fp2hBCYAnpCCfdop5BjsiCPdDJWsZJc/LWqSvbd1kKue3kLHkA9BgHtWxjTuel0xOYtR9ERSjW5JTZdzIYOWYh7vreA7GWupFvMiCVfYE8pgetUliIMtkDULjzGblpAVG+DzudFsfZKgMQW/Phn9oTfwZs3nRBJUuQ4j975/KCqDMq8giVSzHHddXOSgqbeQVa11KEWRIZWdb0xK+7LF/Y/hC4T4+Tv7o3Vwa6u7aeh18dr1s0k0aFhb3cWVT22NWt48svYwL149g+IUM30jfv64R4Hcpwy/2Cpi1Lhw+0JxVjveQAiNUoyrpwLIshn+qYe5E4EkSaw73MOn1T2R64eNeYX2o757HOP4t4MkQc2HMNQM794Kh1fDoXfksYZ1XwnxGjfJ/oqgVopk2gz/FOkCuQ37zImpOBM03HVaKdYxnTo6pchT6xvY0dzP39Y3HlVA/+yWFrY39LGjsY9nN7XEjSXoVMzJszE5y8rKqjRUY4yu9aoQyZ4arj98HRMOPYRTHa93Jg62wuq7YM2vEfvqIoZ9Mmy+ZhhoIrzit1D3CaVCzJLEJrgo73iVbVW/xK1xMF1TH7dcwTcAq34KH/0IemuxaWLtiSZPB7RshfLzoGkd9mBbdKzc7MW29wm6Z/2YoL2MUv/u6JhCEPAb0nC0rmbG1lvxWIsICrF9qJF80HuY2Z+cCx17URPb1rDPhbT97zDhVHCWEq7/PDpmN6rJHdiAp3k7baknY1z7ExbaY6ldY85U9k++G21KMQcqf0hCyZLomFPqwbThHvomXMRI1kmYtv4JgxRpCAgFkTY+QlidwPCsH8Lae6Flc3Tupi6RHb40dncF2TRo5vmDYZaWyBT0u5NEZu39CUO5p9CTuoiiDbcxxSKnXXVikEU9f0cKhWiuuBnr/r+zWLUvutyPDnTSMSSLTkoS/PKdA3QPy0XnFelmHp7rY3GGwLQUBY/N80QFPDUKgYdbsrl8xwT294uctnMGG0ZiUdcpYjXioXfx6JxI1e9jPPAqEzQyOfnMlcqmSb9B2VeDvuUzqqt+xKuDY8JwX4I1B7vitOc+relhRySdrlQIfMtxkFWXpfLh9RO5t6iGbEPssx2DXh7/rI6bX9jB45/V0TnG4cEfDPP27jZufmEHP3tjH1sb4uuntjX2cedre/jmU1t4eWszbp98vjT0uqOkaxSNvR5qIubRb+1qi/MZHPIE+bxG9qEsT7NEOzJHce6UdGyRcoSGnhF++c5+TvrdWm55YSc7mvr538Ynh7q59PHNPPZpHX/5rI7Ln9rCR/s7jz9xHOP4qiEIsiH5dLlRJ0q65v8QJn7jK1ml8YjX1wyOBC2/PW8i3kDoqELXMBLLy1PYXNfHnIKkozqmshINrK+VL+4XHZE6CUsSSoVIU5eLIqcpTuwwiJKwzoboH0IyZeDmiHo0TaQKKugDrSVOGPDZwSrmznuApc93s/obv2fDcDLnR8ZafHresNxOl8dMUfpkersM/GjMYhWiAgQFBNwISi1KYjfLPsGErb8BElKh9zCdYXPUiiiJfoS8+Vj1ehSOQhRj9lMwHMIxuFv2Dyw9A3P1y5iTF8XGJaVcaB0OgUobFRwF2O+14Jz6Pew7/gCWTKodJ5MWFDApQRJEPredy5a+Gby7S8NdM54mFEqPdn++tr2Fn761jyFPELVC5MenhrhkpjyqVwuEy89nKGTDZExGrQhgjNjGoFCywXkh24bn8MxmPffM+htpmrJIJRasNB0g95PrKZx+FxNqHqU/93RMhbN4/LIpHOoYpuXkv3JYSkMKh5ic0I8pWW7FDwhq3jeeQ9aMs3irO5krTprIFl9+1AoqGIoXJPWHwtECc+NQDct338zM9AUElQaStv+DvoK3wTmNkARDngCTsm0EQmHyHEYGvWM8K+1FSDOuQ9e5H6ZfS1ilR2OT94PJ301+yyvy+SOqyKx/kV77dIjroT02/EesL0BoVPOrYw+8fDlmRwkJKVWw/Uk4+3EoP4dwWOL3q6p5frOsSP7GzjZqu1z88qxyRFHgw30d3Pj8jugyX97WzGs3zKbQaeJwl4srntzCkFcmW6sOdhEKS1wwLROrXoXVoKJ/TNRZpRCwjZrRB44WKx3VKCtPN/Pnb0ziwVXVNPS4OW9yBldGasP8wTC/fu9AVDKipd/DhrpeXr9hNqkW3VHL/Ffhte0tcbIakgTPb2liaWmk9Xm4E3QW+bfj6gJNQnxh/DjG8VVCoZZrN8fCYPvKGjbGI15fQ/SNeGnpcxM8Qq3boFHxwuYmDnUO897ejqP8yjbV9ZBq0ZFq0bHhcPzTuMsXZE11N93DPp7b3ERo7H0hFMAdkHi56mlaU5fGCpMjkCRJjjxNuoxwKD4N1ecJ8MKuAQRJ4Nldg3jHmOkaNQoEo5NVB7p4qzZARlK8CGEw6Ifi02HqVYS9g/T5Y6erL6yWU38b/wyJuYxIscjhZncKUupklIfeAJUWvyWm+6PXqhFt2dC2A7Y/DdnzyHbEam+MKmTSNfMGEJTolbH11Xl7MB98gb0F19FtKMDZvZ5gxPtw2OPnb/t89Ggyqcq281aXnZrOmCDp5oZ+hiLdqP5QmE9rYoKSTWEHgwmFZHd+iG1wL12mEnolubh70OPnhvf6+O0uNZ2uIFesVrLucCzCEbIX4593OxNrH0JVsoJw9nyMBg2Li51cvyAPsyJAOOhFEfbHHbdgKExtOJ1vvC/xwrZ2Vn6ox6uIpacWFjnQj5FSuOWkQlIiqbvP+y24Zv8QiypEUqiLkbl3smFITgI7ErQsmODgzV1tvL+vg9d3tLJ4Qqy4W+HpQVj9c9lwefUvEPe8DF45imTTBEkUPXgW/oKupQ+hUSnJNcSsXqj/FHY8AwEPbHwEWrZFh5aUOOPkDyZmmKnMiBzXlAr6lvweoX0n4vYnGS67jJHsxfK+73MfZQPz4tZmmvrkffXxETZEI/4Q2xrl9d3RNBAlXaN4aWtzdD/87LTSuHW6ffkE2TAZOKnEETdPoxSjDQoAS0uTeeXaWXx62wJ+dkYpGZF6tfoeV5xOF0DXsI/dRzTL/KvRN3Ks9LJP/u0PtsKb35Z/i0Nt8PZ3Yd3vo7ZM4xjHVwpJgi1/hdU/l187IlH0d2+Dnc9/Jas0HvH6mmF38wA/fmMve9uGuHFRPjcvykeMtM0jgd2ooW3QiyCA8ojyi8LkBP6wqgaQNZDGYqyWWIJWiUETu+mKWiOXHppOa7+XBO1UblyYOVbmlE6PQPKhdwmgZGDSDYx9rjg1sZWsPd/l1JnXU3roIWornouOKRUK3t3TxvnT0mnu9dDQO8JYKKUQNK5DCgUQi88gURm7CacI3dC1H0mfiNC5l9zSGJGZY2hBePMXkDUbofpDNAhQtiI6rlWrITACGhOCpw+TPkY4NMFBBHsRkiULIakDTSCmAWbRq1AmJGPu34cu1IMiKQdVJFWsUIjYTVre3CWnPK16FbPzYw0MOpUYlesQBUjQxp60ssPNWNb9XBaGHGwmZc/DiDmzgATUChGLXhYKTbXo2Nc2iG4MIUp37UX9yV1QciaKbU/gqAIqF4Mg0Nd8AMt7N1BpnoAiHMDobqbfWoA1vQCvP8iAO8DplakEw7Kf3/AYy6wp2Ym8ecNMdjQPkWbRMDkrti0TxFYMu/8mG2Er1Rh2PU3p3HKIyNBeNiOb3CQDjT1uKjPMTM0Z08ghKGDhj2UPTnMWlJzJqPCYnQFQG9HuehKNyohgycQUjKT2/COw6yVoWgfVH0JfrdyJmDoRRLnb8J2rK1lV78GmV7Ig1xC10alraUOs3RDViBPat3P4cC0VE6eiVSkwaJSUpZox61UMugPsbRuMCm8eS3RzNNI89jcyCucYyYTTK1PJdxip63aRbtVTPsamZsgT4JzJ6fSN+FGKsvDxkeRm1LVgLLQqBRqleJRFkv4YemPHQ33PCHtbB7Do1FRlWTB+SdnDaZWprDviYe28KbJyPe5e6NoHNe/DlidgsEn2UvUOnlDUq7F3hM31fQRCEpMzLVHR1nGM418CQZA9MjVmmHEdTL8a1t4H+14Hx/HMv/53ME68vmbYWN/Lrha5dujJdfWcOymd9MjTcO+Il2VlyXj8IawGNV1jjGEB9rcNRS/Ye8dISwAIksR3lhTQMeglK1GPf8yF3RcIMzvPzrA3gF6t4MgkSXfIRNfkX9IXVJOmCqD2+jHr5Jve7lAmjswFVGy9nfZZP6cmYIsKVxrVCtYs72dfwEBxegsDqvi2d8nogKpLEUJeJL2NHikhqqw+oE3HWnY2wkg3ksFBmzKDUQGGOq+Zkpk3wnvfRzIkIWXNYiwH9Yck/Avupl1XSE7/OsQxLfqfiVOZZ29FeO/7SPO+z0bV1CjJPOROQGdbTtW660Cp5eWkv7PAJ2GP3JvnGxpZPtPNu51Wrkpv5EAgZuuyPEviUl0rP63N4/a8JvxJMZPyJo8Gx/QbZQ9DwL/st3R7FaQAOrWS7y8r5J3dHbQNeLhuQT7zCmNzG8NJFJadg7j3FSRLNt2WChIDIbRqJR92GEiv+BVzNl8PwCdTH6OvQ8vZ6eANhnlzV1ucP591WkZsJ3UdIn/n38mfeQPUvAfVZig9Ux4TlZA1UzYlDweQEAmJMYJysHOIJz5vYGtjH2dOTMOZoCVztNg7HIKWLbD0V+DukW2eAnI67qORfBbmnY7tgxsRAE/BHTw1WMX1ICuWp1WBt19ODySkyc0No3pULduYsPZnTFh+H7Rugg2b4KS7QG/F29NIfvvH1OVfRpepjBm770Q/XA9MJdms5fblE3jg4xq6h33YTRpuXz4h2lhyWmUKr25vYTgS2ZqeY2VGhEhOy0lkdp4tSkg0SpFvTI8dc0EQKE01R7sVx2LVoS4+OdiNTqUgFJbwh8KkW/Wx1N0XIMtm4NuL8vnNh9XR9xZPsFOVcQIWPGPwWXU31zyzDXckAn1KWTK/OLPsC2VtTq1MweMP8einhwlJcPXc3KgYMykVcPZf4YmTZdKVkAGn3A+m48tY7GkZ4JtPb41eq7Qqkb9cOoW5BcfXShvHOE4Y2bPh8rfBVgBqHSy8E6oukd0RvgKME6+vGQodRowaJS5fkOnZiXHF9Wadmv3tQ2ys68OqV/HrleVxc7PG+C9mJ8V3PQ14gzy85jDeQJgJyUYmZ1mjIoGBsMSWui7q+3ykm1XRm9IonP4GdPtfIkVlQUwpx6w9OzpWKjZirn6Vvrwzse16mNzl8xgVQc0M1iF+/lvKLRnQvJmkBbdDVOsdhJ5qpH2vgyERNIlkZCwD5BSNxduMsOtFJEcxQv1npKZUMWrtk6oahm1PIyVXIPTVITVvgcKTY9va2Yht/99IMuYSFPy0FXaSmS0/Zc8Kb0PY9TxS6iSEPS8zdW4WRCyR8zSDGKofw2ctQuNuY97Ih5jU8vrqFDA7vJ3kfY8xx1aJdm89yqUV0e9MDTSRtuEOHk+fhXLdWjpO+hNEei11ihD+/e8imdJR+IcYOfgJumS5+N7jD/LUusaoKOb2pgGSjBoum5UNgEkRQDz0DkFLDsqBegye1mi0Jk/VR1HDk4Q0FgQpzMSmJ6lLLwYysBnUlKQmsLsl3sImiqFm2Pyo3A3UcwimXwcFS0GtxyR6wTcMDZ8jCUDWbIzI6uieQJD3tjdwWr6KzMR05qSEeHt3G9cvjERY/SNQtxqpfSeCqwMpZwFCUE7rzTM2Y137uEymlFq0O5/kgsVlQAH4huRarYNvy7UaI92QUglFK0CpkglZ8yakp1YgePrk5fpdoLdySMpgVca9rGpTc+gQ/GTqU7S68/geMOgJ8JfP6uiO3Pi7h3389fN6VlSkYtapmJyVyD+um8W2xn70GgUzc5OwR5TrbUYNvzyrjFUHuhj0BpiancicEyQME5IT+ORgd1xDQIol9ruq7Rpm1YEu+t1+JmZYWTbGW/WK2TnkOUwc6hgi1aJjfqEd0+ixCwWgcb3cfRsKQusWyJojewlFMOILcM/7B6OkC+DdvR0sLU3mzKpjd3saNSqumJPDOZPTkZCbcWLnSrssOht93Qx7XoIZ18s1X1+CV7e3xD0gegNhHvqklmnZiV8oxhpF10H53Cw+HQZboGkjlJx+3O8cx38pUmLXY7QJXxnpgnHi9bXDgglO7junnOZeDzPyEjFoY4dQEGBjnXyD7ncH4ophAcLhMNfOl8VCjyyebup14w3I7x3scNE7Ju2RrPHzVvFq6mzzyOpezWDKKYySEYCdmiksdd2HyT/M5yW3UOb2Y4mkeQIGByMn3cM/+gr5RtEi/NpYtGazK5FFU7+F8M53kOwTCDgnEpfYsRcizLxWNskNh+kTE6NpTI86Cf3MGxCcZUidexhQOaKppGFNCpZpV+HVpaDxdcvSD6PzfEHeDc/k8uAjWNs/Y/20P9PRpyMzO7KPVHqkouV4Ck5DV/M2kiqmUO1MzaSn6ps80+6gxORmgl2LViPXPYUEBU1ZZ5F86G+YOjbSvuhB2lQZlI5OzpnLYNllmHf9FW/6HDw5J0WXW5Cbw1DbabzRn41T42e6ZYi8DJmc9rh8HGiP2QsBtPTHarWSxUEoPoNQ9kIULRtkzzhJAkFA0JnxpEznPee1qMQws8R9cgE0Mpk+Z1I6AlDT5eKkYic5YyUIchfB9Oth/YNyw8SMa0EtE3eXpME52AJFyxAEBVLrdlz5GpzAwNAwV4hvITUcQu34Bou2/4reqhsBmXjtsC2jonIbim1PgKhkcMrNWOzyWKLZAjoL/fN+zoDSRvb+xzAZI/tfbcCdPhtd9fsIw+2EkytxJ03EqJDP/0PGKZhKryF11x8AODjhRnINqWiAcFiiQ51NRnKQNCds9Yqk6+QYaM+wl/qe+JrFuu4Ruoe9USJa4DTFCQqPot/t51fvHuTDSHefQa3gicunMv0EfAjPqEzlw30dHO6W0+sLiuwsLJIfKhp6R/jey7vY2SyTYlGAu88o5eIZ2YCsEJ9kVNNn0pBk1KAfm/Lc/SK8cYMcUfQPyV2w5z4NJWeMWe8A+9rizymIP6++CKZj2ZuNdEHrVig6BWbfDK9eJbfpV14Ipi+P4G1pOLojU66dC2D/MuLl6obXr4P2HXDK7+DgW7JMgCA3TYxjHP/OGCdeXzNsqe/lpud3EgpLzC1I4q+XTok+GWpUCk4pS+bdvR3kJBkwHtH1mGTScv8HsmXQ906OtwzKtRuwmzR0D/uYW5CEY0zKod0tMhiyUfHh+Qw5p3PIcS6ZY+ZO9m+jxz4drzqRsoHVJGjnxwZdvWjX3s0lhmRCdQqEuRMZjXjNS+iBNY8gTbocoX4Nqs6dkD1GCHWoAzb9GUlQQP4SMlNnAnJKJeB1Iaz/PZLahBAOwqLC6Dyjrwv2/ANtbzWCu5fQ/NujY0qlyJnKjXgTS+nRpDG9+yVq8qNSmoQDPtj1ArrdL0IoQNgeeyra1+HmzHdsBEJBBEFNgV3PP0qCGDVKjCqRCV3vEkqagDshl5Tmd9FkVMGoM+XhNZjdjQxPvArTUC2Gug8g7XIA9HoTvtnXkdvQj0ohYstPQoz4bzoTdMzItUVv7qIAE5JjJGB7OJ8q3zto3rwGKamIQ/ZlFCHQ3DvCtg6JhKyTaekwo5JCNJgTqe0LMxk5DfbkunokYFp2IqsPdpFkHEN7az4E3wBMOF2ONm15Ehb8ANR6HHpR1i/b/jQgQOokkiJEZsgn4AolMrn5Hc5pfpewykiTVxs9X4q73kehUCJlzEJQaUiofZ1ObRLO3HKUKSVw+kOMhK2EQyGksnmoLPL+G3S5ETsOIGTNwdXbgjGlEH9nNb6ipWg0avSH3yd19x8ZsZVjGKwme/3tdFofJ7OgAr1aQbfLx4f7uwAodBopTpH3YYpFx+RMK9vGSDJMzrTGdQhuqutlc30feo2SBYV28hwyGdxc3xc9LiAX3j+7qemEiNeElARevGYmu5ple6/KDEvUaHnV/s4o6QK5LvDJdQ2cUp5CokHDK9ua+cGre6LjF0/P5MenlsjXgdQqSCqCD++QB1OngLM07rvtRg1z8m18foTcRYHjaHJ5QkiphAtfAKMTElLggudk3bkxpMvlDVLX7cKsV8VpjC0osh9FAhcU2eMi+ceE0S77OL50CbzzHfm9vJMgc8b/3zaMYxz/hxgnXl8zdLv8Uf2fva2DeMYIqPqDYTKsOm5cmI8oSnjHpDHk8RBnVKVG/x6LtgEvZ05MRakQqO8eiUuBSP4R0jzVBCw5GIbrcAjx9WGbDfOptpXT4xVZlGxkZlhCG3lYzdC4EdOnoql+D2nqVViEmH1PjddI8dzvIHgGkNInE9La4k9IlRYKTkZQqpEUGobVSVErovZgAglp0xBr3idcspLGQEI04tWizcVccR6K1Xcj5S3ClVRBtMpGkhA1Bvypk/Faqgi3vIkvGKsAUyrVkDYJoeZDpJz5KJSxJ/xBbyDa8i9J0DLgwRsIRQmuRqlkxJRLtXUBVXUPo9fGyKtCoSQ82Mp2xyXM6tmPeowQptsf5IUtzexpHUQUBNoGvVwwNQNRFFArRVaUJ6NXK/AFw6RZdEzNjtXz2EOdKDp3gSAiDDTgDLWzpb6Xq/62jQfnhij47HZuLDwdKeRHs2MVyQt+D2Tj8gZpG/TiC4Zp6JUjHb6x50TQC3tegTP/DJseg6GYUr3LUogmfxmahs8AiUDeUgbNxZiBgCSgSkwnPO06xP3/IDTpStyCJTo3EAqh3foEnXN/hb3+DcS2HfQWqaPit1jSorV6ECMCHn8Qu1aNJDjoSjkZw/A2jBoRbyiEBugVbSRXfIMXOY2TKjpJctXQFkwkE1nwdZR0AVR3umjtlzvu9GolPz29hN98cIjPanqYW5DEbScXRYvajxQ6fdqm59lvTiMj0UDX0NFde/U9rqPe+yIkGTVxhuejGBojvzGKriEfw94gvmCYX7x9IG7smU1NnFqZKrtRWHPltHqP/IDFhOVgyYr7vEal4NalRbQN7KKuZwRRgGvm5zG74PiE8QuROjH299iUDrC9qZ8fvbaX/e1DaJQi311ayOUzs9GoFKysSmNdTQ87IynvNIuW6xbkoVScQMN9chnYi6FjV2RbV8i1f+MYx785xonX1wzTcxK5ak42tV0uLpyWGdd1pRIF/rG9lWSLjrYBD79eaYmb2z7o48UtsnDqJTMy48byHQaeWNfA7pZBzp+SQXJCjDSEVTr6MpbyoeNypus76AgnMNatcXenj44+H/XDIlYtTC4NR+uMNPjlIuqZN0HzRgw5p0fnZajcsGc17H8dNAmIS+6K31hJkmtFwgGYchU6Xx+jxtFOtQeh5xDMvAHhwNukTrgoOq0gUI247gGkivOheRMJ7RugVLYxEkWRJpyU7fg5CUEvvVU3IOhiN3hFyC2nTWZcD3teRgzG0i8Tkk1cMiOT3hE/SlFkYoY5qsvkC0kcUhZQ4dvIlG3fZ2j69zgwoGF6RFxs61ACcyU989ddis+YweYRB6PGSlvq+3lndztpVh3+cJg3drZSlWGmONXMsDfA9r37cEoeXqjX8rPJAT7Yq+Zb82WJDJsqBJUX0JQwifT+LRgVflbv72DYF+SpQ2pmZS9Gt0lOv/mn3UCvJpNs5CLmi6bJ2xIMh9EqFXE1gFLqRILOSlQvXQpKDf5zn0MdSTUOtRwide0v6U1bSFChx/n5fXissyB5LmWJEtKa5xEa1hIouwDV2l+xeP7twAIA9qjKKXFMJ3nt90EQ2TvrQVLTs6Pfu7d1kFUHOvEFw8wtsEeNpB0mDeHW7Qh1H5M74VTY/wZMuiraHZotdqFqWMOplkESa7chaI2URsQRj1bMkuVTRlGRbuGvl06hz+0nUa+Oqy16f09HnNBpU6+bzfX9ZCQaMOtUaFViNEUPMCnznytyPxYmZVpRK8Q4bbLl5bK12IH2QYbHrPsoom4Ce16E9X+AlCq5c3f1zyExF8pWxn2+KtPKq9fPorpjGLNORaHThHiEaOu/Ai5vkDtf28OBdvmByxcM8+t3D5KbZGBJSTJ5DhNPXTmNnU0DBEJhKjMsJ2am7eqGt26WSVdqFXTug3e/K0fCik/7l2/HOMbxr8S4jtfXDIIAIQlZVfwIuw4BOLk8WS7IzbSgPuqpMXYDObL+KySBVinyzTk5rKvtiivGTRGHyG5/m8X6w2Q0vcZ0XWvc3Nssn/Jb+zu8UrqOW7TvIIZjkZMwgnzh3/wIpE2WX0fQp04mrE+Su+MEkT4p/qYlRW70SBJozfQGY+kfrRCE/MWydlDxaeiJ1aRVK4vwTrsJYcOfoL+BxuST4pZboIqlWKzBLmzEUh0DqmSYdBlsehgqLmBYE1NdFxBoH/Ty7p4O3tzVhn+s2JkUpmBoI4z0wIQVmDbcizPYHhsWBMKCGPt7zH7odXkpSjbx8YEuPq/tId9hpN8tb4/H5+MmzTt8u/8enqvYzVnbL2OepjY6d9gXQPjsfoTeWtj1PL7+doKR1QpJAgixZ6uwoEQZEdWVJJl8vL27jU+re3hjVxtjy/6qO0dw+Ue3T6C2xy1rNgE7PE4+rHiAu6WruN1zCWsm/4l1rkhKVWfBM+NmJE0Cqh1PEspfSqAkVnMzNceOdoxsQYbNGJV9aOp1c8VTW1hX282hjiEufWJTVCle1BoJz7geyWCH/W8gOUqh4vxoV6O+8ixG8k/F0fgWypE2Rk66D1OabAUyLScRzRFiwmOlPgCCIQmXL0gwFP/DOFqWlagjhCTJ5vIz82xMSDZxVlVaHKE7LnxjUmze2N/zixz86qwyJmZYsBs1XDg1g8sjzRRZNgNTsuJ/JzqVgpLUiARD1hyYdDmc81c49ymYfDmkTTnm11v1aqbn2piQkvC/QroADne7oqRrLPaMaeqw6NUsmOBgSWnyiZEukFOZpSshfwmc/yyc93dInQxJhcefO45xfMUYJ15fM2yq6+PJdQ0c7Bjm9n/sYdATIxz+sMTzm5tp6few6kAXI/74m0CSUcOysmROLk3GYYrv/JlfYGdmXhKHOoa5bVkxefZYUXnY6CTknEjSBzcgjnTTKMUXzHqthYj7XkW5/gGCKZOQxng1hhFAbYDJV0A4xNhVUgY9CFKIjlOeIlR+PlqOKO71DsK0a2Dpz8Hdi6CK3bBd6GSF7OnXwUATA8TW1xDoQymCv+Q8hIkXkzDSFFsfSUIKuGHiRbDwRxDwMBKKkRO9rwsa1uM562lo3YrWG0tRHewY5uMDsdd/WFUTbULod/lQpE6E5Apo2YI0/4cMBWP7uMo0jCk0xL6lzyMlpDHFECN/CVoVP8/dz99WGHn9VJHvpR+IprpEUUlNxrnoPJ2U7volLUXf5KAiJgj79kAO7VlnkLH+ToKCgud9c1hUkoxBreC60gDa+vcJzvw2wanXoql9j1S/LPA55A3QNezllPIUJmVaOKsqjaEx55Kmdz/Wvp1snPIg/bYqkg7/g65euQ5qTn4SDzdn8EadwOrmML+qTmVWfqRpIhRE37sfwdUJSg2Kxs/QumL7X9WxHW3zZ3DmI5A9D/PWh2TVc2BfWz+XzszCH5Jo6vNw9dzcWGOBdxhl7UcIwx0gKhB6DqJs+lSWpwD8rbvRHfgHRMitYs+L4JbXtyg5gScun8rJpclUZli49+xylo0xj199oJMrn97Csgc/48qnt/DJwVjd1vKy5DgR1AyrLlrDNSXHyuaGPmo6hwmEwry+s5VFE+KFUb8Qo6a9HXuh7lO5IL2/AZAbX/whCatOyZISBz0j3igx0quV3HV6KYsnyG0mxSkmHr54EjmjXcpJ+bDiflkTzlkqyzpYM4+xAv83sOhUR5FeAJvxODVcx4MoysX7Zz0C5jQoWgYXvQD2ouPPHcc4vmKMpxq/Zkg0qqNCnMUpJjRjSI5BoyArUR+t23AkxJMrURBYHSEOpaNPyBGYdCquX5jPsWD1taFq+ATJWQpd+ykRG4FYEbx2oAYJAQx2lB3bESfEOqhaghYK6tcRlgSChmR6Ms3RGp6QqCLYvo+AT0ewZyuDxtIx9AmEUAC6DiL1HgZ9IgmiJzqmDPlhqA2pdStYctCGY6QtUeFBuf4BwmnTkA68iaU4lt5UigLKwBB0HUAa6UMIuHGKA9HxP/dOJCPrp9z23AD3Lv4Rzd02vhcZM2oU0X0PkGLWoo24A+g1ImLrVqj9CFImIn7yc5JOfyG63HeH8+i038fjb7r4RultOIbTuTkyVqVqQPfuj5lhzUX0DMhq+8snAlYMGpE0zwFEXz+odDi615E/4dzocqtMA9h2bwSlBrWrlemGNspzT+Ltb8/F1XYQKWMmvrZ9CEho0ibjUclpVbNWgSgIvL07FpX79uLY8X9pqIyCyU9x26chLp1wEwFBzQ0qOeKYYTPwwPkT2dHYjyRJlKVbKBzt+pPCEPLJUcMZ18M7t8JYN4OCZYQvepkWywzsiRPQSZ6o3pMnIPGHVTXROrqaLhd3LJe7Z10BCZ8PtNlLeCvpm6xsvZ9+nzJaG9bR1UmOIPL25MfJd23D2beTzrYOcvPl6NDs/CRm5ychSVKcsXPfiI8HPqpmT6TAe1N9HyO+IFWZFix6DQuKHDzzzWmR4noFCwodZEZ089Iseh6/bAqrDnQx5A0wOcvK/MITJF59ddDwKTx/AXgiIrGDbWDNZntjP3e8tifu4waNit+dOxFRFChNM/PwxVPoGvZi0auOFj4do0sX9/dXgKwkA99ZUsg97x2MvWfTx+2n2q5hNh7uIxAOMyUrkfL0o3XPjglRlN0rRnGkJcw4xvFvinHi9W+IUFhiV/MAKoVAebolbmx6jo2nr5xGc5+bWXlJaMcoVlv1Gu46vYR1h3vJsxuZmh2fTjlnSjoGjSyAekr50W3eL29toqHHTVWmhZNKYuN73UlMn3Am6uo3CZeuZF8onYlj5g1q01As+hVuSYNJ9OLyBnFGbgb7XUbc+dfzQlcGFzmaaHDro3PrPRrSJ11MRvcBwpkXoVDHFxqHbfko+uoQhloIZ61g/4iZ2aODKh1UXkhLQhXpQ9vxK2OUbeNwIgtm3Ir+/ZuRDEnUOJZFRVu9/hDKjJmotj2J4N2AtOJ37PbYouphS+yDFLr30j+/kjMMu6nXxzrCytMt/GhFMU+sa8CsU3H9gjyMETkPUakmnLcIDvwDaj4gvOgneNSxm8ISQx1Zzm3MOnUBC0Lr6DMMQWSt3utLZsXsn2D98NsAtK74OzUeM05Ap1RiUom0VNzCDv0slvQ8RbolRqgNSolgUjEv2r7FouG3SVCG8AdD5CQZeLMlmQHtfObuvg6A1dP+gt8jF5y7/RKfRkyZRzG2WHyeuZui5je5qvwMTtXsxGC20TXoJdmsIxSW2FLfx6/fO0AgKPG9kwvJsunRKBWyuOnUbxHwjjCEnsTz/oZgiJ2HvoPvoXn9Ktorf4mx8z2U0giqC58Bk5O67pEo6RpFY6Twv6YvxG2H5jIn4yQ6BxKot/yIj3aGeHqyj4xEPffXppOd8RCPrvORa5lHmXUWlR1aco94lhCOSM/XdrmipGsUe9uGONTpYnqOvJ9n5iUxMy+JYyHfYYraAP1TKD0L+g7D6l/Ir899CrJnydvadXSB/gd7O+k7xUeSSU7FqZUi6Vb9UZ/7d8TlM2Ungz2tg9iMahYUOqI6gjua+rn8yc0MRlwT1AqRRy+ZzMITjRyOYxxfQ4wTr39DvLWrjVte3IlCFPjLJZNZdETn0xepOncOeXhwVQ3bGgcwaZQ4TBrmF8UuYKv2d3F3pCNKpRC5NGLSDPDSliZ+9Po+/KEweXYjNoOaqiy5T9Ch8RLa+QKtxnxS1v8J69L4rqU/tpfwxLp6AFaU5/LQ1Fgt1og6kXPftxOWvHxQn8o9K2Ot5JNVLQib/oyksyJsewLn4p8CMcNqsWMXUu2HYEpB2P0ipYsmQiTGYQn1Iqz+OelpkxHad5K8/LfReVW6LnRr/0w4fRpCTzW53R8Dcpu5WqVAbPwMSaUHaw7sfI6y+SWAbEKcHWpEs/rHfCt5IsLW7WQu/yNE6N6muh5e2txIokGNFJZ4bmMDc/KSMBvUaIUw1K+BgEcWbt38KJblk6LrlC72IK57gEWJbyF07ydxyS+jY0utHVg++hOSORP8w6TsfRT1kgmAk5FAmJ81lZNuKKOuW0WN6SYSWxK4PNKotlMq4MCEX6JTG9mvKOCjGhf3RdKU2WIXBa7VBEyZCILEdNcq6pgApJBi1lCZbmZ700B0PRwJseNmYRBr7at8X7cWcaiZltJrsGrkiqfdLQPc9sru6Gd/+uZ+8hxG5uTL5+XudjcPfFzD5vo+zqxK47r5uqi7wmZPBhMdk5m+/fsgCGybcj8pQROpQEaijtwkAyWpCUgStA14SIqkxNOsOuZMyGBdbQ81XR1UpptZXOLEHklZpVq1PPK5LMR5uD9I3QCcMTdGTIab9vBZt5Z2j4IzUwew5crHJt2i45xiLXbRxcP7lFxXGqQ7ZCTjX2A47QuG2FzfR22ni4xEPTPzbRhGLYDqP4XPH5DNe8MBWBWxjEouP6bZ9eRs67E1tL4G0KoVLC1NPqYq/yvbWqKkC2Qf04c+qWVmri3uoXIc4/hPwjjx+opQ3+Nie2M/hU7TUVEt5XALVxcHMWskPAMdEGu2R5Ik1lZ309jrZk6+jbwxT9tdQ16cCVqWlyVj0Cip7x5h/piSh60Rc1+AbQ19ccSrud8T7aI63O2ifchLVWSszavGP+XHrOszM6voQvaOJDK2QX3xBDthScIfDLOgMD4yYJd6WbOsl3WhYmaL+9kfzIuObfGmM3/SZYjv3opkn0BvYhVjZ/vTZ6HZ8ji07yJ81mPsGLGxMDI2qEnGMvlyhKFWpEmX0qFMZrSRfJ8vGfOM77DRnUZ5ZRcjgpHRLQ2EwqhteYiTLgFJQgoFaJVsjJYrv+4q46IJZ6DY+xKholN5y13OBZEx73A/j6W/x0bVDLKEDlQE6XeXYjao8UoiPUlzyZ4kIvQcwl92HnulHEYVzXrSF5FccibC7heR0qbSn35SdFsdjjSk8nMZMuahxYvK04vdJt+k+obcfM++hUB/M1vNczm153H2Or/DKFHMsGq5/8MmdrXUYTdq+OHysTUuEmp3J71Tb0ER9mNp+jDaoWfUqbloeiY6lYLqTheLix1MHyNTUaMrJ7HoUhx7HwWtha6CC0nVyqR5NAo1Fg09bubkyxHFX7y7n831cn3Vs5uaSDSouXWpvF6eEASjMrkCBr2BbpePVKueyVkWCpzGaPqzNDWBqojRtV6jYFN9XzQatKtlEEeCBlUk1XtmZRqHO12srenBoFZw/cI85kUeUIYad6F79WKKnCdhMZViW3MHfaf8hcRJZ5CqD/Fz3YvQvpNJ877P3Jr7kFImotNNPWob/1k8t6mJu97aH3193fxcbjt5glyvFQ7Kwr4XviBLdXzy62i92rTcRK6Ylc2T6xsAsBpU3LQwX44o/odhZ/PAUe/taR1k2BcYJ17j+I/FOPH6CjDiC/C9l3ezrbEfi07JGzfOiRMVnGvqYNHgr1GGvbgrfhc3d1NdH1c8tQVJkqUlnr5yWlS6QakU2d08QMuAF1GA6WfHR6YKnEaskafmouT4Gi9ngoY0i47WAQ9zC5KwGWJP1zaDmmtf99I6MIBRo+TGhfERuNd2tvHunnYCoTDNfSMsmOBEHSmoTVeNkLr+Hs5VqvHrHNhnTozOm2LoQtj0BuHp1yG07yaxdwfkxzqw1M3rkeyFYM5E2PEMJYunMEpCzb52mcSEQwgaEynOmD2SQaug8jkzgdAwoGNpSRKPRRarVggw3AWf3Q9qI6RNwZkdM9A+x7QHRUMn/hnfRt25mzMNuwBZRDUrUYPG0815tTdCwEPDtJ+SHInIGJWg71qNVLsKf+ZcNGt+ybQLKiFC+RzNHyLseQlp8pUIu54lsfFdyIyQJLUeYbAV86f3yTffud+P1uaoVQo6AioqDz5GrvgELksRnnDsZ/vRga6od2e3y8fTGxo5rTwVtVqB1eZgSJ2M45NbAeidcDHJDjkC2jXo5cGPazDrlJxU7OCdPe0YNUpmR8hKlWczjr2P0p17Fvbm98ndfT9Czp8BLSatEr1aEbWcUSkEEiIp154RH3Vdw5TbFezpDjEnQ8Pm+lgjQXn4ENbOdTTMvo+UhtfJO/Bn2vNmAFY+q+nhg32xwvZ9bUNsrO9jwQQnPcN+qjuHmV9oR69WMOAOsKm+jyFPAKtBTUWGhT9fPJmdzf1YdGpKxxhSb+jWMCNzIXl7nyAPCNjL2O22ygIXGhPK4lNQHXyVJZu/CaKSwOI7ZEsRkK2R6j6VO2hdXbI+VsESjoe2ATf3vX8o7r1HP63jtMo0uQMxfzF86xOwZsntkZmz5L8Bg1rJ7acUc2plCgPuAMUpCceMgv0nYPEEx1ECqktLk6OdruMYx38ivjLiJQiCAtgKtEqSdOpXtR5fBXxBiZouucV6wBNk+AjBRNGSjt7TQUhtRmlOiRvrd/uJdLNzuNuFLxiKEi+3LyTLTCAXgPe44k2yvf4QMyK6SJ4jOh7LUsyUpiZQkW7GpFFSnGKJjgU8Lp6csJVtYhlTwjvoUKiBWPHMxdb9nDupn2HBhFPRgM8/CbVSjmrolCA4i1Ec/hghZx7CmBKeDq+S/KQC+p0zsQI+tYW424s5BYpOIax3ILraCYTHNPcr1Ej2IoS6NUjpUwgJymiLrkapjKsV6huzH3yhMBqjXSZd3kGwFzMSVEatiERRQPKPQNpkpNaNKIRYR1ayI5WBrNlQ/w+5Yy9tIlptpP1doaQ36xTsQS+a1k14F99Nu66Y3Mhcv9KEds53GbSWY9ZZCetssZZin0uuWQtFzgOFCgIeUOtQqVTsCaRTrjEjevvpTpxMUyh2bHyBeMGDAXcAdyCIWq3AZHUwnDITa/VLAIykTMdqkY+/yx+g1+Wnpd/Dvjb5XBzbBbspmMvgtHu581AO15QtwRXWMDOswgyEQ2EunJZBXbebsCSRm2RAjNRO2Q1KXpp8CKGvhg9yTuP8vofoK7sidtiUGph6NUPeEI6kIhQKoiono0bUY+GJkLvkBC3Xzs/luU1N9LsDpJg1XDM3F4s+9oBg0CiZnX90Gj6kSuCwfiKTeBqA9oRKXJpY2muzy850nR3lSDtBnZ3Nw/ZYLeH+N+GN62Hu96B1m1wQf+WHkH5siYZRuP2hOBFikH+TcZ3GEaKFIMT+jkCtFJmclcj/NXzBEO0DctG+5Rjq8c19sqxI5lh7qf8BVk5KZ2tjH+sPy9H4PIeRq+fmxHWSfp0gSRIH2odp7nOTatFSkmr+2m7LOP738FVGvG4GDgAJx/vgfxoSDWp+f34Vb+xsZVZeEsUp8V08rZ2ddBTfhQEvhrYOSiJ6RAAz82zcuqSAxl43KypSMOtiF8cMq57vLimgutNFgk5J4RFFv90uP+/t7QDg/KnpcWPNA26CYQmFKHCoc5juYW/UCFehVGFU+Llw5+W4LQX0pS2Im5tgtpK7We5ea178ZzRjUgTKkBchbwE4SsCUjJZYAfcgBsIqPba3LkcyOBhKnh9HvCRRg7j2xygCHqR538clxTR+JCmM4OqCmTdAzcdxRdNFKSb+uNzGz9YOMssZ4hvzYmrWOpUSaaBBln2wZkPdapylsS7BYZUdm6hA/eplSCkTGdEkYYmMdbYeJm3Xwxys/CEO10HMB19iMGcqZpOBXpePgYFe7O5e8I0Q9rqobm4lN00mArXBJEoPf4Kl7bdI5kwaZt0To67hINK+1xAmnAq+IaTq9xCmXglAolbkXD4kaMqgtuRmSnb9Etvks4ASAGZn61ms93HrJj3fK3NjT3FgiDQ29DTuI3fjXTTmXIAoBUjbeBd1jomYJpSTazdxwbQMnlzXIB8nUWBqduxG70zJ4smdSlIdId53OyhyGqPF3N6QxOOfN2BQy52Ra6u7KXDKzQ0aETKTjChDCq49/D0oPhVDQux8+GQknUVNf6Oi/WEQRD6pepBEwUImkO8wRm2rADRKMdot6Q2GyPFX80DVAD/YncwfKpqo90oEQnmolV9+Y8sMHqZs2w8YSSyh31xC5uFnIXMmUEhnTzeTDtyH0tNNR9UtJO/6E5MO3EdnwV9xJtnlyFTxaXKEFODkX8kWOcdBts3AaRUpvDWma7QqwxJn9/Tvhr2tA9z/QTVrqrtJt+i4/ZRiTilPRhAEel0+Hvu0jifW1SNJcMnMLK6bn3fiultfgOwkA49dOoU9LYMEQhLl6QlY9V/PaJc/GObxz+u4/8NqQmEJQYDr5+dxw8J89Jrx5NI4YvhKzgZBENKBFcAvge9+FevwVWPhBMcXdu6sdhfwu42y/MNPTsuN3GJlBEJhmvo8bKjrY0FR/HxJCuPyhfi0poeqTMtRT1oJWtWYv+OfZhWiyOqDstSERimiGCOgqlaE8bkGQKVDEfQghuIjaYqQR06XiEoUgRHGfqtdNYKw7WWoOB9x1ws458e8DwsVHYhDrXKBcciHPdwdvz2hgCxPoFCDfwQpbnMEWZ1782NQdSmCFItw+ftaOXn3LVRMOQ9r53rC7XOh+ObYchPzERrWwYG3YOaNcSbaiaEu8PTLUQjfEAmBWJpMFAXImokyHETUW0BnierMKgmRNbiVkKsLV+nFmNf/hvLTqqJzk3USQiBCOkNeksbcr3rERFTTbsG841HQWegrvQKNoMcISEhIxmQUyaVYVUGYfAXSGPm9qaFdpGy5ig9n3IljzyO4dBciIBeObxqwsrno97zerEUtSizNOx3tsDliVw2ZVh3Xzstl2BfEbtJEC9UBWvo9vLq9NRpdPWNiKsFgGKVSxBC5iYz4YxGd6LklhVA2rJVlNSasgA0PoTZnRD+nFYKoQyOjRwKd5CEUiWQqRZHzJqfT7w4QDMv2SGFJHnO7hljS8wzmltX8o+gK0rb+haySK3H75qBWfnkabv1wCuZ59/FxbxIft6r5w6LpfOgt4SrAL+pZk34tRvtKvr0jhT9U5eLSOCgTI4X5QT94xwiA+obkdPBxZBqUCpHblhWRk2Rg1cEuZuQmcv7UzKgf478b3P4gP31jf9SzsmXAw03PbyfNMouJmVbe2NnKo5/WRT//5LoGnCYN1y44tgTNPwOjRvWFXaNfJ2xp6OPeMellSYKH1hymMsNyzMaCcfz34qui4Q8C32esGds4olg5OQO1SiH79FXEpxo31/fz8jbZ9udHb+xlTkFSNCXQ7QrwyNrDhCVYdaCLWbk2Fowhd6dVpuALhZDCcHpl/HLnF9n56akl7GsbYnl5crTdG6DPHSYnpZg3HX9nolCNR4onbW2uMA1lv2JA0pM64sEYCEeLnrsVTrJMqfDBHUjTr6Ux7GBUXKBDSMJkToeJ3wAkQipDnKKvEPQizf4O4YRUxJ5DmKQx3njhIBCG8/4G+99EksakyXpUJGZdwbTN3yest/NS8nXRAvlAMAzDnYipVVB2NjRtpC/t5GhhviQqEczpkH8SdB9CEmM/EWd6Pp0tM8j/+AZQamk9+w3SDPJ+CqHAlzkf04F/YN50P8HZ36FVskeXq3J3gqig78xnsWz7I6qRWCSkp6uNlH2vsSH7Okz+bmyHPsKVtRhjejoDPolXhydxZe1fSPH0crjkBrYNpnFeZO77IwUsyz2XlE0/x5+QxTOBBVwlyT/sGfk2LlhloDtiJ1PnMvHCAnnvdw/5uOf9Q/hDYdQKEV8wzDXzc5kb0Vfa3tTPGC7LW7va+OacbCrSrUzOsrK0xBk1iJ6ek8i0nDFpsZSJ0LQedr8kmxZrY0HtKZpWzL272DDpfvI736Wy41VqixYCNqZkW3l6fQPrDstkN82i5ekrp8nHTdTyQdoNrOzZTdr+x3AnVfKB+TxOF49fgD3H0oNz9QPMTV5CQVYpts9+wvKTHgYm4w9JXLc6jCgkEZYCXLY+ibAUZlVVZOMb18ndqkvuhpatcidiwVJIm/xlXwlAZqKB7y4t4rtL//1FPeu6R+KMwkFOje5pHWRipjUaKR+L13a0cs38vKMkOv5bsa918Njvtw2OE69xxOH/nHgJgnAq0CVJ0jZBEBZ8yeeuBq4GyMz86pSXvwokm7VcNTf3mGPOBA0qhUAgJDEp04JujK+cVa8iO8lAXfcISlEgzRofCfjkUDd/29AIgM2kjuumNKiVXDEn55jfqdXqOHtDDt6AD68/nZsWJzFvzPibQ/m8sq2VUFhiXmEOfx2zTsZALzRtkCUWaj7GkREr50sSI0KmA40I3kFEZ3wK55GhGbR3DrClO8iFJbnM1MSK+v1hEa1Cg/TBjyBnIf6wgk8PdDLiD5Kvd2PvfB+/KRO1u53pyhpgMQAqpUivNg2bq53AgfcIl50LmhgxUEhhpIAXaf/rkJCBQopFddSeLlKb30HSJyH4BknrXgcFk0CpxqCEcPc+8A6A3oai5kOczpg0xtv+qXgzfskvXnDxvam3IXkzuCky1hiy8ZDyVlZvk7Bqs5lgncq3JTl1p1PAXNUBRE8vaM2ktb6Pv/BUQO4OnWHsxt62CjQm1MPNLNLXo1bIvZ95dhOPXzaFD/Z3IgoCJ5c4o7U5eo3IKeXJBEMS7kAIq15Nmjl2vpiPkC5wmLTYIgXPZp2K35xbyYWN/YSkMJMyrbFiaIVG1vJydYGohI49oIt1Sz47UMbM+S/wcquVSRmlDA0PM0srp2MTDRoevKCKzfW9+AJhpmQnkhnxjzRrlUxmP0p3BwgC+v79TFM3oFUev/uwPWzFmTaP/AN/JR/w24qp9ttIAxK0ShINKvpG5Pq6sASJBlW0WYDSs8CUDNlzwN0LPdecEOn6uiFBe7TvJBB9qMu2GdjSEE/M8hzGcdI1Bmb9saOZY8tBxjEO+GoiXrOB0wVBOAXQAgmCIDwjSdLFYz8kSdJjwGMAU6ZMOZbP7X8lpmQn8sw3p9PS72Z6ri3O0DfNqudXZ5WxrraXAoeRZWXxUa32QU80itE24OVEMSXHxg+XTWBLQx/JCVrOnpQaN37ZzBzMOjX+UJgVZSlRP0CABtJQzbuLF3pzuTCxhh5NVlS5PjG9hHDRcpo1eaT5GggZUxkbvyjPzaTVo6ZYGyQxzUFhSowghU2pSEn51OZeSv7gOpolB1c+vRWAlRMd/KTsTN5yZVGm6iDREb++1qGDhJo24XNOxvD5vaRdsSA6NqywYMiYzqGqH1HUu4oRhTmmpq8xIWTOgIV3QH+TrNAeaSLQaDUMm7Nkn7ygh5DajMoaS7GlWnQ8W6PHbgywrs/IOdmxiKJercBoS0HX2YkkKnAm26NdoVq1ilSHndqJP2StVMUFgdfIccSiS5kOM770OTyuu4gVwVWkJ5kRxqSJKzKsVGQcbdysU8k//bE1SNPHRK2Wl6Wwq2WAzfX92AxqvndyIWljBDsFQBRAko648YYDslJ95UUw60Z46zuMDZ0tmODgp2/2cKCjnfcVIjeflM+UMbVldpOGFRXxxwvAopZQBNvpTV3IluxrmVP9K9KEbjQnoDhQUZBJd/80bPwdgG7bNKypuZHv0/LjFSV875XdhCI1jj9eUYI9IlSKSgt5ERETU7L87z8QmTY9ty4t4pfvHIi+Ny3HyoyIPdLZk9J5c1cbvqBMzNQK2WR9HDHMyksiw6qjuT/msGEzqJlb+PVPo47jXwtBkr46ThOJeH3veF2NU6ZMkbZu3fp/sk7/ydje1M+PXtuLJMEvzypl0v9B11Rj7wi3vrSLrY39nD0pjZ+cVnpUNOV/inBYYumDn1I7RvH7nZvmxEkKxKGvAR6bL0enLnhOrkWK4KFPanlhcxPN/R4yrDpWTkrnO0uOb7w74vUz9N7dGAYO0p8yn4yDj1O/5C/klcoRmQc+qubvGxvJSzLQMuBhalYif7hIrgHrHvZy28u78IUkAsEQ+XYjPz29FN2o2KYk4fZ4GAmJJGoEFOr44mO/Z4Rev0iCIoTBaORE0DHoYfa9n0R1vQC+NTeHO1fEKgqHPX52twySYtGSa49VBQx5Anz/lV28H5F+mJVn4/cXVGEf9f8M+sDvBr0VRrqPsnLpHPSwtbEfh0nD1Jx4d4Uvw1uba2nr7mRnv5bpNg+paVksrcg4/sT23fDXxQSteXjtFRgPvAhnPw7lsnn3Y5/Wsqt5iJAkoRAEKjMSuHre/7x26esGbyDE+sO9HGgfxGHSMrcgieQxUdDdLQNsONyLJEnMyLUxMfNoQv/fjoPtQ7yxq5UNh/uYnGXhzIlpR+k0juO/A4IgbJMk6Zjtz+OtFv9hGHDLekfJZi2ZifEt35Myrbx2vWxLMjZSdiLoHPSys2UAZ4KWiRmWE56XZTPwxOVT6Rvx40zQxMjEvxCiKDArzxYlXhlWPUmmLwnv166SyZYEtO+Si/TNcpQlI1EffWJt7vdEfflGsau5n48PdGFQK1hRkUpGZFynVvG48lQaAtP5eKOKGyruYbIhJhabnaRncbGDIU+ADJue8tQYKbSbtFwxO4e3d7ejVoqcPSk9fj8JAnq9ni8yiFHrDKT8kzJPVr2aKVlWNtXHRHWP3FaTTh3V9RqLbY39UdIFsP5wL5vqejm1MhKpUmrkf3BM/zynWceKin9uhTsHvfzw7dpoQf97QJ79MLOLUqLF/l8IZxms/AtKxwSMxmQoWgh5cuq5dcDNbz+siUZyAD4+0MmKilTSLF8PS55/FbQqBYsmOL7Q6Lsi3ULFOIn4UkxISWBCyn9do/44/kl8pcRLkqQ1wJqvch3+k+DxB/nZm/t5fWerXJh8xTTynfH9C/8s4QIY9AS46629vLu3E6dJwwMXTGTWP9GFpFUpMOmUqP8XlbdvWJhPZqKeYW+QJSUOnAlfcmMfboPDn0BaFezZCJMujQ4tLXHym7Mr2NM2SHFyAsvLYqmlxt4RXv9sO68cCpBnhuGBHr596lQ0SgWiKHDajHKe39zEfKOHrKLUuBSaBLy8tSX6umjMcanpGubG53dEdaw21vXywtUzYumu/wF6XF621vcjiAJTs6wkGmVCpFEpuGN5Me/sbadj0EtlupnlR/h37msbZHezTLZn5NqiLfHBcPio7wmG/3cj5yEpfNR3eAMhTuhbRZFq2yJW7evG7e9kRu4SZuvlaE0wJBE+IuofliSCoRPbnr2tg3ywr4Nel49Z+UksKXH+RyrMj2Mc4/jXYTzi9R+EHpeP13e2AtA64KW6y3UU8fr/wUB/H7fp3mLpnClM9H3KQK8K8uYffyJySusXbx9gTXU3F8/I5KbFBTG/un8hnAlf3JBwFCZdBlsfh4PvwIUvgjmmaaZVKTh3agbncnQKK9jXzK39P2f5xHNIGqlG7RFxuUvRJMj7OMdu4I4VxUfNA2jsibfZ2TumA6q13xMnHnq4e4SuYd//mHj1j/i55fmduAMhJAle1Kv4/QVVUc+/7c39PBaRCPhofyeVGRaSjPJ3bqrr5dInNkcjQbcuLeSmRbIQxeQsK9NyrFFboOJkU3xX4/8QjT0j+ENhcu3GqCRKqkXP9QvyeODjmujnbliYj/EE9JFa+9188+mt0UjmQ5/U8tQV05hXaCfLZuDK2TlxUglXzs6Jc5L4wvXsHeGKp7ZEdcee29zM786rZOWk9OPMHMc4xvHfjHHi9R8Eu1HL+VMzeHFLM9lJ+rioCshaPZ/X9AAwpyAJ/QkSoESziV6NgTO3XcqQrQKp/LzjT4pgzaFu3t4jF3A/sraOWXlJzCuMpZ/2tg6wtroHh0nD8vJkjJoTq//yB8O8t7edgx3DVKSZObk0WdbZOhHsfBY0Zjnd9P4PZTFV89EF3UdCY02jKWU503bdCQo12+f+lVL9iaWjCo84FpOyYvUx6VY9Fp2SgYhZ8IRkE87/oTAlyDU5mTYDaw51IYoCJakJ7GkdZFZ+Er0jPn73YXX0s55AiDXV3dEo3drq7rj0259W13L2pDRSLXoSDRr+eOEkNtX1EpIkpmXb/iWWNr5giCfXNfC7D6sJhMNcNC2TW5cURqN035ybQ77DSEu/hzyHkbkFJxZ13drYT3O/B51KgUYlMuAOsLa6O3oeXrcgjyKnkZruEQrshqNM6b8I2xr7o6RrFC9uaR4nXuMYxzi+FOPE6z8IWrWCH60o5uxJaaRZdHFdaCDfFEZNe396WglXzD62fMSRMClD6OhC0tsx+ntIMB5t7fJF0KjEuNfaMa/bBjxc/fdt0Q5LbzDMJTPirVNqOofxBkMUOROinX4Aqw52cvMLO6Ov/3bltDhC96UoPweKTgFLBnQfPCHSBZBulPCqekFUQDhIqWkEjUI8/kRgSYmTP1wwkX1tQ2TZ9JxWGfvOfIeRxy+fxvt721ErFZxWmUKS8X+u3u0OhHh+S1O0qfCFLc3R+h2lIGDUKhn2xY6lZsz+Hfs3yMdNNWZbnQlaTp+Yxr8SO5oGuOe9g9HXz25qYlKmlbMny0TG5Q3SPuilpsuFXqPE7QudUFpPoxQ5qyqNIW8Ajz9EmkUXZzVk6d3FSk0TLD0L9r8GvZmgP75MhfoYx/7fVSB1HOMYx78PxonXfxAkSeKd3e088HE1C4oc/ODkomi0AIgzo937BWJ/x0JA1NCbOInns5ZwSmI71oCOY5ffHo3FE5zcdnIhG+v6OK0yJc5/rnfEFydr0dgzEjf3/b3t3PT8DgIhie8uKeT6BXkoIze71jEt2yAXSZ8wkgpif2fNOuZHgqFw9Ltib3rRhkbg4teg5xAaX58s5HocFXOQvfdOn5j2hWRlcpYsTPr/A7c/SPewD7Mu3l9PkqQ4EdRQOFbPZNar+dGKEm55Ud6/2Ul6loyJ9CwpdfLKthaa+z0oRIGfnFryL6k5+zJ0DB4tcdI2KB/ncFji96tqeH5zMwCvbGuhz+Xj5pOO33GaZtHx0f5OXGNI5r1nR0zVvcNIa+9BOLwad/1m9NsfQ8pbjHDOk6D98jT9tJxEKtLM7I78lhSiwEXTT6DLchzjGMd/NcaJ138QWgc83PHaHsKSHN1aUGhneXlMy2tFeQpv724D4NQjFPFDYYmP9ndwuHuE2XlJTMy0RMca+32c9KYZCPJ77PxEq+bK+MDUFyJBp+KGhQXcsPDosaxEAyvKU3hnTztqhcjs/PjU0SNr66Jm17/7qJozJ6ZGBUAnZ1kxapS4fEFsBlV8p2XAC7uel0lV1365sy57zgmtb/+In8c+q+P9vR0snuDg2gV5seiT0QGn3A9qHWTNjtgZfbURjtYBDz97Yx8fHegkO0nPA+dNpCrS5l+ebiHJqKYnolyfYtZSNqabckVFCoVOI51DXopSErCPIeklKWZeuW4WB9uHsJu0FKf875tMlKQmHCXiWZFmAaCl382LW5rjPv+3DY1cPjv7uAKVNV2uONIFYx5CtCb2VdzJhI4D6Lc9QtCYxsHKOyg7gnT1u/2oFULUBxPAkaDl4Ysn8WlND0OeAJOyLEzNPnF5jHH8L6OnJvaQ1VMrG5F/xb/XcYwDxonX1xIjvgBD3iDJCdo45WiDRkme3UhNlwuFKMR0lSJYOMHBqu8uQEKKGh6P4vOaHq59ZjsATxrrefPGOdG6HZNWhTNBQ+eQXM9i/zKphn8CCToVv1ls5uLpaWQpB0hNi2/DzncY2dk8AEBygibOaLYq08or186koXeEfIeR/LGG4P5hqFsDa+4Fdzec/qcTXqf393bw8JrDAPz183oyE/VcOis79gF1pJZJcYyfTl8d+EcgMQ/ad35hNO1YONQxzJpDXSgVIktLnFGZiuPhnd1tfHRAlnZo6HFz7/sHee6qGYiiQIZVzyen+9jocqISwkw29mE6oharwGmi4AsaMJwJ2n9JrdmJotBp4vHLpvL85iYGPQHOn5rBnEgdl1GjIsmopmvYH/18dpIB7QmkGi3HUBQfVeHvHvTgbdyMMmLhpBxpx9uwmZ6sYpISdPS7/TyzoZHH19VjN2q45aQCTilPif7u0qx6LhwXEv33w+FP4KVL4fQ/yoTr+W/A7Jtg6lXj5GscXznGidfXDK39br7/6h421fXyk9NKuGRGVvQmYNWr+dNFVWyq7yM3yRAnZzCKI22ERtHj8o7528+wJwCRm7QzQcujF0/m05oeMqw6lpT8i9S7R3rQv34lMyvOgX2vw6yboPTM6PANC/Kxm9QMe4KsnJR2VN3TF2rmGOxQuAz2vw76JFk24gQx4PHHve53+7/gk0cgHIatT8Khd6HwZNjyOHzrE3CWHHdqc5+bb/19K029crr04wOdPPyNSXFpwy/CoCcQ97p1wEMgFEYjKqCnFtO7N7AkpQKCAeirhbSPIPHEavv+t9DYO8LulgFsBg2Ts6xxEiez85OOinwCJBrV/PS0Mr7z4k78oTB6tYKbFxeckDzK1KxEVlal8Y8dcsdvlk3PsohMiN/rwtm/A1diOZ/m3cq8w7/FObATr3slJOh4e1cbv/1IbkIYcAe48fkdvGLW/X+nhcfxfwR3H/hd8OqVoDbJYsmDrbLbxDjxGsdXjHHi9TXDjqb/1959h7dZXo0f/96S5b33HrETO8vZmwwyIIyQQNh7FmgLvHTSH5RSoH1paQulpZRC+6bQAmWVQAmQMJowAiQh03F2nOHYseM9ZGs9vz8eRbZiO5ZjW5Lt87kuX7b2rduyn/Pc45xaPt+n70z8zerdLClMJSas7QCdnxxJfnLPE/jNzI1n4chEPtt3gnsWDGdYonsG9PGZMW2ZqutK4cAnkDMHDq7jUMq5PLe+HLPVzvUzshnXftqvugT2rYG8RbD3Axh7uZ7RHCAsHub+EP51DSSP6zAdmJMQxo8Xd56e4bTqy+CrP8OFT+ojX/s/hoQCjx46Ky+e2LADVDdZiQwJYLanC/YNBph8C2x+EdY/rZ9pexB0AeyvbHQFXQDr91dxrNbsUeA1Mzee59YdxGLXp+dumpnTFozE58HFz8LLV+iXr/23z4OurUdqufH/vqamWQ8Yv3N2Lt9flO/RjtQLClMYmRhESa2VEfHBpMd3UZngFBEhJh65eAzLJ6XTbLFRmBZNUpQ+kpecEM8zcbdywlHGinVGbiz4AfGxKdyZqP/eTxbsPknToPhYvVvgdbSmmcYWGzkJYX6Rw6ux1UpRaT0Gg2JMamS/JC32e2OX61UT3v+xHnTlXwDzfgyBnlV2EKI/DcG/yIEtKy6UsEAjTRY7CwoSu8/a7aGU6BCevnoi9S1W4sKCTn8gbK2H9X+CNQ9C7gI+rxlFfYvCoWk89+kBnrxifNvCdJsZ+4a/Yfz4EWwZswgYeVHb8zSegPV/hOHnwqHP4PCXMLKtelRTq5X/7q6k2WLnrLx4UjxNWRCZwvEL/saHRwzk5E+jMCcVT//dFqZH89odMzl0oonMuFD3KUxg+9E6PtldQYjJyPmFKaSdbJPDATte18+yE0fDZ09CxjRIyO/2NRMiggg0GlzBU1yYyS2YPp1ZefG8dNs0dh6rJzkqmLn57QLFmkPw+e8hOBocdv3nhHyI6tvdiD3xQVG5K+gCeOa/+1lSmOpZtu+itxhWtY9hk26Cz34NeQvb6ih2IywwoNORNKNBsWzGaN7cHMVMazWxGbEsm5Duyh82Iimc93e4PybZGbRZ7Q5e+uoQj723G7PVzoKRiTxw/ihyErrPAdZfDlY2cd+b21wVCRYUJPLwstFDLgs/pd/A50+1Xd77vl6xot2IuhC+IoHXADM2PZrX75zJsVoz4zOi3VIs9FaQyUiCJ5ntgyL1heaVxRCZRpNm4u2thwFYOi7VLRP4gQYD0cY4Ylt2UqbFEmA24jrGhsfrBacTR8GJPRDtvmJ/xRclPP6BPs0zNz+Bp6+e4FGer7I6M9e8coQDzl2S31tk4u4F0d2/L6fc0FZyRyZBk/tox6GqJm59YYNrrdvmwzU8ceV4fZTDYIDM6XDp3yGlEPauhkjP0lQEBxi5ZVYW6/ZVERoYwLTsGEwGz3+vk7NjO51WJjgasmbAwof04tUH1kFw2yiRxeZg06EayuvMjEmL6nKtV19qnxsMwKHhCjhPy9IEJZ/Bhudgxxv6pomQGH3U1dC7Uab02FAuKExhYmYMKdHBpLdbX3fRuFT+u6uCbaX6YvwbZmQxPVfv628O1fCzt3e67vtRcQUjksLPbJS2j7y15ahbGaiPdlUwY3uc58mFB4tjm6GhFGbcBclj4K07ofhtGHY2hHg2UipEf5HAawAamRLJSF/WA2ttgLRJsOjnsPNtaura0lRsKKl2K7zcWFNJWPQw3sq4g1kNH1BZVUlKUrtkFDlz9O9hHUcj3tte7vp57e5KTjRYPAq8jtaYXUEXwEfFx7l7wfDTPKKdQ1/A6p/Coofho4dh/v2uNh6taXYFXaAf1OrNVhIinAf+9lOlU27x7PWAmtpqLje/Qv6wyUQbmolr/pSqhluIj+hlLq+QKDj7fsw2DRSEZM5wC1Je3XiYB94qAiAs0MiLt0xzS+zaH+YXJPLC+hLXbtVlE1LJT/Yg4AsMg9nfh12r9KArfRpMua3XQRfoaUvueWULrTYHQQEGfn/leBaP0Xf95iVG8OKt0yk6VkdYYACjUiNd+cwOnJL+BOCTXRV9Eni1WOxsOVpLTZOF0WmRHequduXLA9UdrttV1uDRYx0OjW1HaykurycxIpgp2bFE9nFBe6+ZcJ1ekSJrJgRF6P9fksZK0CX8ggRePnKymHVmbCjJUb3P+u1ViQUw/wFQCpILSVpfAtQCsGR8qtuakpa4UVzz36XsO9HCpPTL+E2ih3kogHNGJ7HDue1/9vB44sLbpt+sdgcfFJWzu7yBsWlRLByZ5JoeTYsOITs+lBJnmZ6zuyj626noLP0f9YrzIXMmRLftWEuLDiUhPJBKZ3qG2cPj++TAlB5iIajqG5ZUv4DRZqYseynBQR6MAnVD0zTe3XGcJz/cg1EZuHfRcFdAUd1k4dcf7Hbdt8li55PdFf0eeM3Ki+df35rBN4driAsLZM6IBM/WRVma4PMn9VGM+BFw9Cu97NOse3oVfFU1tvLgyiLXSFyrzcGDK3cwJTuWOOdmjqgQU6e1SXPiOwZDc0f04LPWhcZWK798dxcvfa2PIkcEBfDsdZOY2clU6amm5sS6jXgB5Kd4NtH+781H+cHr21y535aMS+HRZWOJ8nHwVdnQQmVDK2nRIUR5sO4RgIBAfZPLSXkL+6dxQpwBCbx8oNVm59F3i3l901HGpkby1xunkOjFbft94mQaC6W4YkomSZHBWGyODkHO1JxYHr98IiVVzYxOiSQn3vPFrTfNyiE7Pgyzxc5ZwxPcsoJ/vKuC77602dWUF2+eylnD9fVNqdEhPHvtZD7bd4KokAAWjezBLkxLE5hr9IO5uRosbYvebQ4Hc/ITaW61YTIaiAgKcEtQarM72FBSTZ3Zyti06C53kJ4qOSOP+im3YFx5IwChU68nKs7DRf2nUXSsjrtf3szJAcjvvrSZd+8KIz8lEqNBn+Kspy2/lcnDLPzdqtit92HmNNj/EaSM03eaOk3Miul5gBcYpq+ZC4nRRxPX/QZSxvd6xKvWbKHilLI/FQ0Was0WV+DVlYmZMfxsySgee28XrTYH80YkcPmU3idQ/fpAtSvoAmhotfHUx3s77ADtzLIJaXyx/wSbDtUCMHdEPOeNTjntY0Cfnv/5OzvdPs/vbC1jSWEq54zuo13MPaRpGiu3HOPRd3dyotFCTlwYDy0dzVxPN7wI4ack8PKBerOVd7fpeYO2H6vnWJ154AVe7WwqqeFHb2yj1epwm6Y5aUJmjCupZ09EBJu4aFznC8EPV7cFRJrmfhkgPznCsymsU1kaIS4Plj6tL0a3NLpuqqhv5Y1NR12XgwIM/M+i4QQ7D4avfH2EB1bqK7EL06L407UTO+RL61TNQSLXfA/GXQ2N5UR98gCkvwmhbeu2GltsNFtsxIYFdsio32q1c6LRQkRwgNsI3NFaM472gaFDo7TWTH5KJFEhgTxwwUjufXUrdodGekwwC0f2frQGqxnWPqbvJJ39PfjwIVj8GEy7vffPPeYSsLVCQBAsfBhMvS+rlB4TysKRiXxYXOG6bsHIRDJiup/aCwwwcNOsHOYXJNLYaiMvIdyj9BbdKeskg/+2o3U0tFi7ff7chHBW3DiV7aV1GI2KsWlRHtVkPdHYSn1Lx1JgnbXFWzYfruXeV7e4gsGDVU18+x+bWHXPbI+KmAvhryTw8oH48CDuOy+fJz7cy7LxqeQl9myL81cHqjhc3cz0YXEeJ9rsTyvWl1DvLPD8i1XFnJ2f2CcHoJKqJl7feJSGVivLxqe5BW8TM6MJMRkxW+1EhQRQ2D6Fha0Vtr+mj5BU7tJHWzKne/aiaRNh6R/BFAIXPaV/d8pJCKMgKYJdx/U1M5dOSifGOfXRbLHxx0/2ue67rbSOLYdrPQu8YnLgqlcgboQe6DWfcAu6Nh2q5sevb+dITTNXTc3k3kUjXNM/ZbVmHn23mFU7yhiRGM6vLx3nSucxKjmSmFCTaxdhYkQQBe0y0C8Zl8qIpAiO17dQkBJBUmQfTHmbQvRt+yWf6bte8xbBqGW9f96TApzBVh8EXQBBAUbuO28kqdEhfLyrggUFiVw3I7tHm1b6Ogjo7ITh/LEp3Y7AnRQRYvJoWrK9zNgwchPD2V/R6HZ9T05eDlU1caKxley4MI/bejpbj9a6jcCBPiW+o7ReAi8xoEng5QNKKa6fkc3S8WmEBwV0rAl4GhtLqrnm+a+wOTTmjUjg2esm9UmQ0xuZ7YK/3ITwHk1Z1TZb2FlWT2xoYIeUAn/6ZD+vbtTLxKzZeZx3vnuW6x/6pKxYXrtzBiWVTeQlhVPQPndZSx324ndRn/wKQ1MZjgufxOBp4AVtwZbJPRBJiQrhT9dO5It9VYQEGphfkOT63ZmMBlKjgymvbxshiAh2//P6Yv8JdpU1kBEbwrz8RPd+ypimfw+N0Yt3n3wrVjs/XVnEvkr9gLjiixLGpkW5Ckd/UFROaKCRxaOTCQow8sIXJfzm8nEopciMC2PFTVP4sLgCg4KFI5NIbZdWQCnVdRLaM6VpULZNDx4Bjm7QM/pHJJ3+cT6UlxjOw0vHcP/5dp//LYE+hfnbywp5dFUxNU1WFo5M4vY5w9yqVPS1qBATv7x4DD98bSuHq80Emwzct7jAo0SxNruDl74+zC9XFdNidZASFcyvLy1k9vDeTQmGd5EqJyLY978jIXpDAi8fUUp5lCDzVMfrW7E554+2Hq3FbPXSwaK1QV90fvJ7OzfPyiY2NBCL3c6ScakeJcMEaDBb+enKHbyztYygAAN/uW4Sc/Pbprt2H2/bjXWstoWmVpvbmfSY1Chy48IIOeUfdDVRVMQvpGDPKhyhCew05jPmlNeuN1tpsdhI7GRjg8XmoN5sISLE1GHh97CEcIYldByhNBkNPLhkFA+uLOJojZk75g5jem5b3b61eyq4ecVG147P310+jksmpnfbR2arvUNB8PbZ6pstdvZXNpIUGUxDq5XIoAAsNofrMzEuI4ZxGV7Msm5rhap9MPIifeH7yu9CY3n3j/Pkqe0Othyp5VBVE3mJEe6JevuAPwRdAAaDYvmkDGYPT6Ch1UpGTFifpo3pyrScON769iyKyupJiQrukMOuKxtLanhwZZHrclldC9/71xbevXt2r5ZQzMyNIyc+lIMn2pYRzB4ezwRvfp6F6AcSePmCzQLfvKAvOj68HsZfA2GeFdedNiyGKyan88WBKu5bXHBGwVuPmetg1fdh9MWw7VWYfqfb1F1aTCjfmZ/X46ctqW7ina36WrdWm4NP955wC7y+NXsY97yyGZtD454FeW4JVEsqG/nDJ/vYeKiG2Xnx3DU/jyRnEFVfeYSsXc+ztfABUqrWE3V0LRROcT32g6Jyfrd6N1VNFm6elcMdc4dhcObNOl7Xwi/fK2Z10XHOzk/g/gtGebxIfnxGDK/dPoMWm71D4ebNh2vd0mys3VPpUeAVHWLiplnZPPnhXkAfBWg/CqEU1JltfHO4nMjgAC6dlI7W1ZN5gykYRl0MzVX6tO05v4Dkwg53a2q1ERRg6NFo72ubjvKTN7cDYFDw9NUT3YrAd6em2YLF5vBe/UmHQz9RCYmC1kYwBOj946HEyGAS8d7az93l9Tyzdj+rtpUzIimcexeNYMHI7kcqd5XXd7iustHCvsrGXgVeaTGh/OW6yXxQVM6+ikYK06M4d3QKEQM1xYUQThJ4+UJAIIREw18XwryfdBhBOp348GAeW17oNqrR70Ki9Ozyr1wNw8+BuI45sZpabWgahAd7/pGKCwsiOTKIcmdurMw49/VQFxSmkJcQRovNTkFKpNvU3Mqtx3jjG7323qGqw2TFhXLbnFz9xohknkr8Oa/scDAtYRQTTGmcXNptszn489r97D6uT909vno3BckRzHceYN4rKmPllmMArNpRzoSsaG6bnevxewoyGTv9vSSfcgAadkoqgs2Ha1hdVE6A0cCSwhRGOKdOlVJ8a84whieGU9NkZVxGFGPTo12Pq2xoZb9zGrK+xcaXB6r6bnfimbCaYd2v9ZJSs38Aa37qtri+ttnCy18f5sX1h8hPjuDOeblMzen+pKOivoX/XVXsuuzQ4Pcf7WVefkK3JXEcDo23tx7jl6uKqTNbuXlWNrfNHkZsH6xDOs2L6idXRzfAgp/qJawCw/SEnj0Ivryl1WrnkXeL+WyvPkW841g9d/xjE//+9kzGpEWf9rEJneSbCzAoVyHy3jhdEXchBioJvHzBZoGD6/Tafns+gMk365ngPaSU8u60iLkOdv4bsufoZX2q9rqN0G06VM2P39hGU6udx5YXerzdOzU6hL9cP5n/7q4kMSKIC04dvdA0YkMMtDiMBGEH2t6z2WJ3u2tzu8vZ8eGcPW0SlrByYsMCuXBi285Iu+agod3uLU3Tp/NOslgdLMwJ4sODrSzMCaLF2rN8WvsrG2hosZEbH+52Zn7emBQqGlp4b8dxZgyL5bLJGe0e08gtf99AdZM+hfhR8XFevGWaa1o1NDCACwo7z4J/6lSo2WLH7nBgdKZZqDNb2Xy4BoViQmZ0/yfENIXA3B9Byaew+n7IXQijlrpu/nhnKWmNO6gzB5OsHWfjhgqGJSzqUAD9VBa7w+33BHoqCJuj+/G9rUfdd8c9s/YAaTEhXDs9u8dvz2OWRijfBlv+AQfWQv0RKFiil9vyw8BrX2WjK+g6yWrX2HK4rtvAa/qwOOYMT2Dd3krXdfcsGH5mu4qFGAIk8PKFgECYebeenLP2UI+CLp8IiYJpd+pFn48XdRjxev7Tg+yr0LN4P/xOEavunu1xYFiYHk1huxGc9qrXv0hVRRkVpnQi2U3Uwh9DkD5SdM7oJNbuqaS4vIGJmdGcM9p9SmRqTlynIylBpgBuOSubh97eSavNwfKJacxstxbr8uRjXLv7N6ydcwdzSp/GlvJDwLOs96uLyrn7lc20WB1cWJjCw0tHE+s8648KNXH3ghHcNX94h0XSR6qbqW6ykhAehNXhYGdZA+X1LR7tDJuUFUNEUAANrTaUgmumZxHoDMbqzVZ+8OpW1hQfB+DCwhQeWz7Wo+z/vVK+Q59qBDi2CWpKIELPBTWx+QuyN32XjIkPkXPsPwQ2mymrHEl8+OlHFdNjQrn1rByeWXvAdd3tc3Ldcrt1ZV9FY4fdccUeZnM/Y8GRMO8+2P8J1BzQR7XPecTzv/XqEv2+gaFQdUD/X2Hsv3/XoYEBbvVCTwr3YCF7XHgQv7uikM/3VVFe18KI5AhmDvNs6YQQQ5EEXr4S71wTFe9hKRtfy5nt/D6nw02x7Qo6x4cFugoM99bOpgjOKvoRBbYWvin8OaFVVgqcAz8Ts2J5/obJlNaayYoNda3v8sRVU7PISwinvsXG5MwYotq1PzoxC7vJyHlf34AjfSqGJM8y7bda7VhK1vPU5CY+OBHHTdFfU3wojlmj3B/f2c601OgQrp2eyZ7jjQQaDeQmhJHg4TTYjtJaZubFoxQEGg2s3FLKDTOyMQUY2HKkxhV0AfxnWxlXT83scaqBHrG2wIndkH8BnHUvrPw21B9z3bxFG0548mwmbHkQlIHPJz1JiMGzxdK3z80lLymCkhNNFCRHMr/As5HVrLiOKT16msKlx1qbYP3TetAVHA0ttbDucTjnUbdUIZ06sRfeuA2GL4KC8+HV62HmPTD5pj4pkdSZnPgwvnN2Lk841xICjEqJYLqHAVR8eDBLx/uu+LoQA4kEXqLXbj4rh9BAI2argyunZPRowfTphNAKmgMMAZjszRhxPxtPiwklzZM8WafYcqSGR/5TTHl9Cz88N59LJ6W3BUQOC0abvovQYDWD3XqaZ2pHczCudTMZO//MzJhRBBYd50jWZKD7wM3ucPDaxqOusjV7Kxq4c55nmxWUUnxQ1LZrcGRyhKuogKGTIK+vguIumYL1gKu1UU8hce2bbsXCY4IVIdrJlBsaySEaVg8SfAJEhway3IMNCaeamBnDL5aN4ZerijFb7VwxJYPze7Ao/4wYTXp9wIIlcO4v9GS8geFg9GAzjDFQL2a+7tfw+RPgsOsjZqp/1+7dMjuHvMRwio7VkxgZxPz8xIFXzkyIAUACL9FruQnh3H/BqD5/3uwoIzsnPEi5MZmJxoNEJ/Q+WaymafzqvV1sK60D4MdvbGNkSkTbOhZzDUSkwu1PwLrfQnPHosOdCQo0YR93Fex9gfDKzRyd+1sSho3z6LHH61tdQdfJy9VNrSRHdb8W6NwxyazccowDJ5oINhn40eICV+A7PjOaSyak8eZmfRPCVVMzKEzvQZHglnp9yszSrO/IC/BwB21gmP4FEOU+CjIx8AhhlZvZddbvSTr4Fmn7/olpymKg/4q+BxgNXDM9i/kjEzFb7GTHhXmc8uTMXzQQpt4O467UE/gu+Jk+WhXkwUhbTJa+Tu7gf/XAv2AJjFzSVqarn4QHmbigMLXL9YRCiL4hgZfwW3FTLyO4xUKaphEVZAJD78/47Q6N6ua2USyHBub2C+jTp8Alz+qBw8XPtAUQ3XE4yN7/EpopDFvBxaR/8QCMmgkh3QekOfFhpEQFUVan7+6clBlDiocjDQXJkfzj1mmUVDWREB7ktgMsPMjEoxeP4YqpGRjQy8cEB3o4VXVkA3z8KJz3mF4FIDQOptzmefDVhYhxy6iLzmRnTRL2tGnkxhowRnqnFqCnfdpnAgIhwDkdGtKDgLd8O/z7dn2EKzYXdr0DXzwFs7+vj6QJIQY0CbyEXwsL7ts8ZQFGA99bNIK7XtqMxe7gxpnZjE49ZbTlZLDladAFelA48XrUmOWY4vJg7DJIHOnRQ7Piwnj+hil8XFyByWhg8ZhkYsI8f9+p0SGkRnceVIQGBjDNg3QNHWlwfDs8d7aeIuLcX57Bc3TCYCAqZzKX5PTN0w1KEcmQNQty50PWTHj3e5A2SYIuIQYJpZ263ccPTZ48Wdu4caOvmyEGkf2VjTRb9MLG3eWBGpIsTXqtxQ3P6+uNblkDCfm+btXQYa7Tp3mV0n/uyYiZEMLnlFKbNE2b3NltPsy0KITv5CaEMzYtWoKuruxdowdds78PBhN89Ii+1kt4R0hU25ouCbqEGFTkqCOE6GjY2XDVK5C7AEYshoAQPaeUEEKIXpHASwjRUUgU5J+n/5wxtc+etrnVxttbj7FySym5CeFcOTWTMWkyoiOEGDok8BJCeM17O8q5z1noev2BatYfrOb1O2YQ441i70II4Qck8BJ+be/xBlptDkYkRRAYIEsSB7ri8nqWT0zDbLVjVIqaZisHKhuZlNVNNnchhBgkJPDyQ0Wldfxm9R7Cgozcu2gEuQn9XN7ET72/o4y7Xt6M1a7x/UUjuHNebp9lxfeFfRUNHKhsIjU6uNvCw4NVYngQz3960HV5bFoUcT1InSGEEAPdwD2KDWLvbDvGJ7sr+M+2Mta0Kwcz1Px57QGsdj3dyW/X7OFYrdnHLepEg/P301B22rttPVLD5c+u51svbmL5M+tZu6fCC43zP4er3XdGbi+to6bZw7JMQggxCEjg5YdS2pWK8aRszGCVl9iWwDQpMoiwID8boD34Kfx9KRxYCy9fDbvf7/Kua/ecoLpJDzBabQ7e3nKsy/sOZgkR7p/nQKOByGBJDCqEGDr87EgmAC6dlE5CRDAmo2LOiARfN8dnvjNvOHHhQdSbrVw6KZ248CBfN8ld7DCISocXLoKUiRA/vMu7hp5SqicqZGgGG+eNTeb9onKKy+oJMCgeuHAkuYlDcypdCDE0SeDlh8KCTJw/NsXXzfC5nIQwfnKeZ2V3vMZuA2MAaBq0NkJThTO7eJWe7b0L541N4asD1awpPs749Cgun5zhxUb7jxFJEbx06zR2lTcQG2ZiRLvakmLg2lfRyJqd5ZTWtjAqJYJzRyf734mSEH5CAi8hPGWugXW/g5EXQvV+cDggIhWW/hE+/R00V3f50LToEJ66ajxVTRaigk1EDNERL4CYsEBm5J5J/Ujhj0prmvnWCxs5cKLtxGPb0ToeXTZmQG+GEaK/SOAlhKc0DczV8OJSsLXCeY/D8uf0mnpL/whBpx+9CQkMIF1KFGGpP8HeBhPxwRpJYQa9/8SAtf5AtVvQBfDKhiNcMy2TsenRvmmUEH5MTkeAyoZWDlY2+roZwt+FxEDGNLCawWiC5LFtQUM3QZfQNez5FP55GZs3fErtR0/Q+P7D0FLv62aJXmi22Dq/3mr3ckuEGBiGfOBVWtPMNc9/yaIn1rF659BN3dAb9WYrb20u5dUNh6loaPF1c/pPXSl8+TSc9ysYcxls+xfYLL5u1YBytMaMsfYA1xbdSv7OJ6lssnGsfhB/ZoaACRnRBBiU23UFyeEUJMtIphCdGfLzHsdqzew5ro927S5v4JxRyT5u0cDz4voSHl+9B4CrpmTwv8sLfdyifhKdDle/qu9kbKkDhw0CJPlnT6yuSSEi5xLSd/0NDAFsjFzEMLOJVF83TJyxsenR/PnaSfx2zW52lTewaGQSd83PG7I7d4XozpAPvMamRfPQRaM4Ut3M4tESdJ2JDSU1rp/X7T1Bi9VGsGmQfrRisvTvoVLi5kxcF7uT2C//Rvmw5SSUfsTSkkewzXoTiPF100QvLByVxPTcWBrMNuIjgjDJonohujRIj46eCw40cuPMHF83Y0C7eEIaa/dWomlw06zswRt0iV4LGzGXWtuTvFQ1lkV5l5MdCRGxMt41GIQHmQgPklEuIbqjNE3zdRu6NXnyZG3jxo2+bobogqZpbC+tw2p3UJgeLWe7QgghhjSl1CZN0yZ3dpsMTYheU0pR6GfbxmubLWwvrSMyOIDC9GiUUt0/SAghhOhnEniJQaeu2coDb+3gP9vKMCh44orxLB2f5utmCSGEEJJOQgw++yob+M+2MgAcGqz4vMT9DtYWfVciQNOJDo8vrzOz+VANZXXmfm5p/6tsaOXdbcdYtb2MqsZWXzdHCCGGPBnxEoNOVIiJYJOBFqsDgOGn1gP8+i9QexiyZsLG/4NLnoVIfYH3nvIGvv3SJvZVNJEZF8qz105iZMrAzEdU3dTK3a9sZv3+KgDm5ifwhysnECnb/PvMnuMNfFR8nHqzlUlZsczLT5AyOUKI05LASww6eYkRPHvdZF7beITkyGCumZblfoesmbD2V7DhOVj8KwhLdN30ye4K9lXo5U8OVzWzZufxARt4bT1S5wq6ANburmTb0TrOGh7vw1YNHkdrmrllxUaO1DQ7rznAH6+awIXjZJemEKJrEniJQWnuiATmjkjo/Mb6UrC1QEAwVO0DSxOERAEQZHIfrQgxDdzRi1PfS1fXiTOzoaS6XdCle+XrwxJ4CSFOS/4Li6HHboPFj8EN74ApFHC4blo8OpmLxqUSbDJw/phkzh87cA+iEzKiuWlWtuvy7XOHMTYtyncNGmQMneyUNRhk96wQ4vQkj5cYmhx2MBj1IMzoPvBrsTmoM1uIDDERFGD0UQP7htXuYFdZPUopCpIjZP1RHzpWa+b6v33lmppWCp65ZhKLx0gFDCGGOsnjJcSpDM6AytjxTyAwwEBCRLCXG9Q/TEYDY/0sx9pgkRodwnPXT+aTXZX64vrsGGblyvo5IcTpSeAlhBBnKCc+nJyzwn3dDCHEACLzDkIIIYQQXiKBlxBCCCGEl0jgJYQQQgjhJRJ4CSGEEEJ4iQReQgghhBBeIoGXEEIIIYSXSOAlhBBCCOElEngJIYQQQniJBF5CCCGEEF4igZcQQgghhJdI4CWEEEII4SVK0zRft6FbSqlK4FA/v0w8cKKfX2MwkH7qnvSRZ6Sfuid95Bnpp+5JH3mmr/opS9O0hM5uGBCBlzcopTZqmjbZ1+3wd9JP3ZM+8oz0U/ekjzwj/dQ96SPPeKOfZKpRCCGEEMJLJPASQgghhPASCbza/MXXDRggpJ+6J33kGemn7kkfeUb6qXvSR57p936SNV5CCCGEEF4iI15CCCGEEF4igReglLpXKVWklNqhlHpZKRXs6zb5G6XUPc7+KVJK/Y+v2+MvlFJ/U0pVKKV2tLsuVim1Rim11/k9xpdt9LUu+ugy52fJoZSSnVZ02U+PK6V2KaW2KaX+rZSK9mET/UIX/fSIs4+2KKVWK6VSfdlGX+usj9rd9n2llKaUivdF2/xJF5+lh5RSpc7P0hal1Pl9/bpDPvBSSqUBdwOTNU0bAxiBK33bKv+ilBoD3AZMBcYBFyql8nzbKr+xAlh8ynX3AR9pmjYc+Mh5eShbQcc+2gFcAqzzemv81wo69tMaYIymaYXAHuAn3m6UH1pBx356XNO0Qk3TxgP/AR70dqP8zAo69hFKqQzgHOCwtxvkp1bQST8BT2iaNt75taqvX3TIB15OAUCIUioACAWO+bg9/mYk8JWmac2aptmAtegHzSFP07R1QPUpVy8F/u78+e/AMm+2yd901keaphVrmrbbR03yS13002rn3xzAl0C61xvmZ7rop/p2F8OAIb14uYv/SwBPAD9iiPfPSafpp3415AMvTdNKgd+gnwGUAXWapq32bav8zg5gtlIqTikVCpwPZPi4Tf4sSdO0MufP5UCSLxsjBo2bgfd83Qh/pZT6hVLqCHANMuLVgVJqKVCqadpWX7dlAPiuc+r6b/2xVGTIB17OTl0K5ACpQJhS6lrftsq/aJpWDPwKWA28D2wB7L5s00Ch6duG5exS9IpS6n7ABvzT123xV5qm3a9pWgZ6H33X1+3xJ84T5v+HBKSeeAbIBcajD8b8tq9fYMgHXsBC4KCmaZWaplmBN4GZPm6T39E07a+apk3SNG0OUIO+3kR07rhSKgXA+b3Cx+0RA5hS6kbgQuAaTfL/eOKfwHJfN8LP5KIPLmxVSpWgT1l/o5RK9mmr/JCmacc1TbNrmuYAnkNf29ynJPDSpxinK6VClVIKWAAU+7hNfkcplej8nom+vusl37bIr70N3OD8+QZgpQ/bIgYwpdRi9DU5F2ma1uzr9vgrpdTwdheXArt81RZ/pGnadk3TEjVNy9Y0LRs4CkzUNK3cx03zOydPmp0uRl9q07evISdQoJT6OXAF+lD+ZuBWTdNafdsq/6KU+hSIA6zA9zRN+8jHTfILSqmXgXnoFe2PAz8D3gJeBTKBQ8DlmqZ5fQGnv+iij6qBPwAJQC2wRdO0c33URL/QRT/9BAgCqpx3+1LTtDt80kA/0UU/nQ/kAw70v7k7nOt3h6TO+kjTtL+2u70EfSf/CZ800E908Vmahz7NqAElwO3t1uz2zetK4CWEEEII4R0y1SiEEEII4SUSeAkhhBBCeIkEXkIIIYQQXiKBlxBCCCGEl0jgJYQQQgjhJRJ4CSEGFaVUiVIq/gwet0IpdWkP7p+tlOrzHD9CiMFNAi8hhBBCCC+RwEsIMWAppd5SSm1SShUppb7Vye3XO4vdblVKvei8Llsp9bHz+o+c1RhOmqOU+kIpdeDk6JfSPa6U2qGU2q6UusJLb08IMQgF+LoBQgjRCzdrmlatlAoBNiil3jh5g1JqNPAAMFPTtBNKqVjnTX8A/q5p2t+VUjcDTwHLnLelAGcBBeiln15HL5E1HhiHnuF6g1JqXb+/MyHEoCQjXkKIgexupdRW4EsgA2hfs28+8NrJsijtyjbNoK3W6IvogdZJb2ma5tA0bSeQ5LzuLOBlZ+Hc48BaYEq/vBshxKAnI15CiAFJKTUPWAjM0DStWSn1XyC4l0/bvkar6uVzCSFEBzLiJYQYqKKAGmfQVQBMP+X2j4HLlFJxAO2mGr8ArnT+fA3waTev8ylwhVLKqJRKAOYAX/fFGxBCDD0y4iWEGKjeB+5QShUDu9GnG100TStSSv0CWKuUsgObgRuBu4D/U0r9EKgEburmdf6NPj25FdCAH2maVq6Uyu7D9yKEGCKUpmm+boMQQgghxJAgU41CCCGEEF4igZcQQgghhJdI4CWEEEII4SUSeAkhhBBCeIkEXkIIIYQQXiKBlxBCCCGEl0jgJYQQQgjhJRJ4CSGEEEJ4yf8HlMORyAe9FfwAAAAASUVORK5CYII=\n",
+      "text/plain": [
+       "<Figure size 720x432 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, ax1 = plt.subplots(figsize=(10,6))\n",
+    "sns.scatterplot(x=df.alcohol, y = df.quality, hue =df.type, style = df.type, size= df.alcohol, sizes=(10,50))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "9ed23595-c0f5-4642-8f05-7edcc1d872d0",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<seaborn.axisgrid.JointGrid at 0x7f47c7e4fdc0>"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x432 with 3 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.jointplot(kind = 'hist', x=df.alcohol, y = df.quality, hue = df.type)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "1889b1cd-6da4-42ff-81a8-be0e6f1b4387",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x432 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "#Create combo chart\n",
+    "fig, ax1 = plt.subplots(figsize=(10,6))\n",
+    "color = 'tab:green'\n",
+    "#bar plot creation\n",
+    "ax1.set_title('Average Percipitation Percentage by Month', fontsize=16)\n",
+    "ax1.set_xlabel('Month', fontsize=16)\n",
+    "ax1.set_ylabel('Avg Temp', fontsize=16)\n",
+    "ax1 = sns.barplot(x=df.type, y=df.quality, palette='summer')\n",
+    "ax1.tick_params(axis='y')\n",
+    "#specify we want to share the same x-axis\n",
+    "ax2 = ax1.twinx()\n",
+    "color = 'tab:red'\n",
+    "#line plot creation\n",
+    "ax2.set_ylabel('Alcohol %', fontsize=16)\n",
+    "ax2 = sns.lineplot(x=df.type, y=df.alcohol, sort=False, color=color)\n",
+    "ax2.tick_params(axis='y', color=color)\n",
+    "#show plot\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "2aafa947-6936-4ba0-83a5-af12baf1f5cd",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from sklearn.ensemble import GradientBoostingRegressor"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "644f9343-8cee-45e6-b8ed-02bce22ae52e",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Index(['density', 'volatile_acidity', 'chlorides', 'is_red', 'alcohol'], dtype='object')"
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "important_feats.keys()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 45,
+   "id": "58620dd4-5582-4bdb-8d79-9898027325d9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from sklearn.model_selection import train_test_split\n",
+    "df = df.dropna(how='any',axis=0)\n",
+    "X = df[important_feats.keys()]\n",
+    "# X = df.drop(['type','quality'], axis=1)\n",
+    "y = df['quality'].astype('float64')\n",
+    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.22, random_state=42)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 46,
+   "id": "59079736-c196-468c-9553-7ee6ce86f9a2",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "density             float64\n",
+       "volatile_acidity    float64\n",
+       "chlorides           float64\n",
+       "is_red                int64\n",
+       "alcohol             float64\n",
+       "dtype: object"
+      ]
+     },
+     "execution_count": 46,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "X.dtypes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 47,
+   "id": "41fd6282-eeec-46cb-958c-349e1c137b7e",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "dtype('float64')"
+      ]
+     },
+     "execution_count": 47,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "y.dtypes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 48,
+   "id": "db129d3f-e213-4d6a-8538-b76a4d77bc4f",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "density             0\n",
+       "volatile_acidity    0\n",
+       "chlorides           0\n",
+       "is_red              0\n",
+       "alcohol             0\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 48,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "X.isna().sum()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 49,
+   "id": "473aa327-3d38-4180-9669-595882e33a6c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import autosklearn"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 50,
+   "id": "1c4e64ea-8319-42a9-92b0-711e7e8494bf",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from autosklearn import automl"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 51,
+   "id": "e337942b-0e07-462a-b18b-033cfd2c144f",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "CPU times: user 44 µs, sys: 5 µs, total: 49 µs\n",
+      "Wall time: 52.2 µs\n"
+     ]
+    }
+   ],
+   "source": [
+    "%%time\n",
+    "aml = automl.AutoMLRegressor(time_left_for_this_task =30, per_run_time_limit=30)\n",
+    "# aml.fit(X_train,y_train)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 52,
+   "id": "4f0b4af4-0a21-4cbd-95ae-a13964b6d7d3",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "GradientBoostingRegressor(criterion='mse', learning_rate=0.15, n_estimators=75)"
+      ]
+     },
+     "execution_count": 52,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "gbr = GradientBoostingRegressor(loss='ls',learning_rate = 0.15, n_estimators=75, criterion = 'mse')\n",
+    "\n",
+    "gbr.fit(X_train,y_train)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 53,
+   "id": "caddbbfa-013b-444b-a15e-6334a155120d",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "R2 Score:  0.226\n",
+      "MSE:  0.925\n"
+     ]
+    }
+   ],
+   "source": [
+    "from sklearn.metrics import mean_squared_error, r2_score\n",
+    "preds = gbr.predict(X_test)\n",
+    "print(\"R2 Score: \", round(r2_score(y_test, preds),3))\n",
+    "print(\"MSE: \", round(mean_squared_error(y_test, preds),3))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "id": "aeb752e8-9950-4997-aa1d-41d9eb73b510",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0.221"
+      ]
+     },
+     "execution_count": 27,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "round(r2_score(y_test, preds),3)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "id": "9ea1ba57-ffe7-4773-aebd-bc5bbfa9ca81",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "AdaBoostRegressor()"
+      ]
+     },
+     "execution_count": 28,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from sklearn.ensemble import AdaBoostRegressor\n",
+    "\n",
+    "adb = AdaBoostRegressor()\n",
+    "adb.fit(X_train,y_train)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "id": "dad5a3c9-79b4-4d5c-a04c-75907f8a247c",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "R2 Score:  0.183\n",
+      "MSE:  0.983\n"
+     ]
+    }
+   ],
+   "source": [
+    "preds = adb.predict(X_test)\n",
+    "print(\"R2 Score: \", round(r2_score(y_test, preds),3))\n",
+    "print(\"MSE: \", round(mean_squared_error(y_test, preds),3))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "id": "1b8a2d41-f37f-4a50-a342-b8766f02c6ab",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "RandomForestRegressor()"
+      ]
+     },
+     "execution_count": 30,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from sklearn.ensemble import RandomForestRegressor\n",
+    "\n",
+    "rfr = RandomForestRegressor()\n",
+    "rfr.fit(X_train,y_train)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "id": "9bb927e8-8112-44fd-8cff-78306921fc9b",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "R2 Score:  0.172\n",
+      "MSE:  0.997\n"
+     ]
+    }
+   ],
+   "source": [
+    "preds = rfr.predict(X_test)\n",
+    "print(\"R2 Score: \", round(r2_score(y_test, preds),3))\n",
+    "print(\"MSE: \", round(mean_squared_error(y_test, preds),3))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "id": "15b2906b-1ae4-4fff-8dfd-0cf209b0518d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import json\n",
+    "with open('dominostats.json', 'w') as f:\n",
+    "    f.write(json.dumps({\"R2\": round(r2_score(y_test, preds),3),\n",
+    "                       \"MSE\": round(mean_squared_error(y_test,preds),3)}))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "id": "108f4cd6-03ab-47b2-9800-a7eff9df4ee4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import json\n",
+    "with open('dominostats.json', 'w') as f:\n",
+    "    f.write(json.dumps({\"R^2\": 0.99, \"p-value\": 0.05, \"sse\": 10.49}))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "id": "b4e139c8-1865-445b-8d50-dd0d1eef2b17",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "results = pd.DataFrame({'Actuals':y_test, 'Predictions':preds})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "id": "11523dd7-ea24-4699-a743-19da511673a4",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Actuals</th>\n",
+       "      <th>Predictions</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>1143</th>\n",
+       "      <td>5.65</td>\n",
+       "      <td>6.012347</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2708</th>\n",
+       "      <td>6.84</td>\n",
+       "      <td>5.776850</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4943</th>\n",
+       "      <td>3.64</td>\n",
+       "      <td>5.917133</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4194</th>\n",
+       "      <td>6.30</td>\n",
+       "      <td>6.007500</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5956</th>\n",
+       "      <td>6.51</td>\n",
+       "      <td>6.243300</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1133</th>\n",
+       "      <td>4.95</td>\n",
+       "      <td>5.214060</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>105</th>\n",
+       "      <td>6.72</td>\n",
+       "      <td>5.829045</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4423</th>\n",
+       "      <td>5.46</td>\n",
+       "      <td>5.596900</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3637</th>\n",
+       "      <td>7.21</td>\n",
+       "      <td>6.590525</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5400</th>\n",
+       "      <td>6.16</td>\n",
+       "      <td>7.493800</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1616 rows × 2 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      Actuals  Predictions\n",
+       "1143     5.65     6.012347\n",
+       "2708     6.84     5.776850\n",
+       "4943     3.64     5.917133\n",
+       "4194     6.30     6.007500\n",
+       "5956     6.51     6.243300\n",
+       "...       ...          ...\n",
+       "1133     4.95     5.214060\n",
+       "105      6.72     5.829045\n",
+       "4423     5.46     5.596900\n",
+       "3637     7.21     6.590525\n",
+       "5400     6.16     7.493800\n",
+       "\n",
+       "[1616 rows x 2 columns]"
+      ]
+     },
+     "execution_count": 33,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "results"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "id": "bcb76fab-d4e2-48e2-9862-a103e5230ef1",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x432 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig1, ax1 = plt.subplots(figsize=(10,6))\n",
+    "plt.title('Sklearn Actuals vs Predictions Scatter Plot')\n",
+    "sns.regplot( \n",
+    "    data=results,\n",
+    "    x = 'Actuals',\n",
+    "    y = 'Predictions',\n",
+    "    order = 2)\n",
+    "plt.savefig('/mnt/visualizations/sklearn_actual_v_pred_scatter.png')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "id": "a44bcacb-a452-48ed-8047-a2a8b1434eaa",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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L61NvLl3GOm01+sjSJUid0sSJE7nwwgtXm/fXf/3XzJw5k6FDh/Ke97yHHj16cOaZZ3Luuedy1llncdhhh7HDDjswefJkvvjFL3LUUUcxYMAARo0atWqA/yWXXMIJJ5xA3759Ofjgg3nqqafecOzPfvazPP7442QmhxxyCLvuuusmOef2iswsXcMGGzVqVE6bNq10GZLaKSI2m0C2Of9tlNZk5syZ7LTTTqumhw4bztw5szts/0OGDmPO7Fkdtr/NWetrDRAR0zNzVFvr20ImSVIXZXhqHo4hkyRJKsxAJkmSVJiBTJIkqTADmSRJUmEGMkmSpMIMZJIkaZPp1q0bu+22G7vssgsnnHACr7766gbv67TTTmPSpEkAnHHGGTzyyCNrXHfKlCncfffdq6bHjRvHd77znQ0+dkczkEmS1EV19LdntOdbLrbeemseeOABHn74YbbcckvGjRu32vKVd+tfX1deeSUjR45c4/LWgezss8/mlFNO2aBjNYL3IZMkqYvq6G/PWN9vudhvv/148MEHmTJlCv/0T/9E3759efTRR5k5cyYXXXQRU6ZM4fXXX+ecc87hk5/8JJnJeeedx+23386QIUPYcsstV+3rwAMP5Ctf+QqjRo3i1ltv5eKLL2b58uX079+f8ePHM27cOLp168b3vvc9xo4dyx133MF2223HZz7zGR544AHOPvtsXn31Vd7+9rfz7W9/m759+3LggQcyevRoJk+ezKJFixg/fjz77bcfM2bM4OMf/zhLlixhxYoV/PCHP2THHXfcqGtnIJMkSZvcsmXL+NnPfsZhhx0GwH333cfDDz/MiBEjuOKKK+jduze/+c1veP3119lnn334wAc+wP33389jjz3GI488wrPPPsvIkSP5xCc+sdp+FyxYwJlnnsldd93FiBEjeP7559l+++05++yzVwUwgDvuuGPVNqeccgpjx47lgAMO4POf/zxjxozhsssuW1Xnvffeyy233MKYMWP4xS9+wbhx4zj//PM5+eSTWbJkCcuXL9/o62EgkyRJm8yf/vQndtttN6BqITv99NO5++672XPPPRkxYgQAt912Gw8++OCq8WGLFy/m8ccf56677uIjH/kI3bp1Y4cdduDggw9+w/7vuece9t9//1X72n777ddaz+LFi1m0aBEHHHAAAKeeeionnHDCquXHHXccAHvssQezZs0CYO+99+YLX/gC8+bN47jjjtvo1jEwkEmSpE1o5Riy1rbddttVzzOTsWPHcuihh662zi233NLo8t5gq622AqoPI6wc3/bRj36U0aNHc/PNN3PEEUfwrW99q81wuD4c1C9JkprKoYceyuWXX87SpUsB+N3vfscrr7zC/vvvz/e//32WL1/O/PnzmTx58hu23Wuvvbjrrrt46qmnAHj++ecB6NWrFy+99NIb1u/duzd9+/blV7/6FQDf/e53V7WWrcmTTz7J2972Nj71qU9xzDHH8OCDD27U+YItZJIkqcmcccYZzJo1i913353MZMCAAfz4xz/mQx/6EHfeeScjR45k6NCh7L333m/YdsCAAVxxxRUcd9xxrFixgje/+c3cfvvtHH300Rx//PHceOONjB07drVtJkyYsGpQ/9ve9jauuuqqtdZ3/fXX893vfpcePXrwlre8hYsvvnijzzkyc6N3UsqoUaNy2rRppcuQ1E4R0aGf6GqUrUYfyeb8t1Fak5kzZ7LTTjutmh4+bCiz58ztsP0PGzqEWbPndNj+NmetrzVAREzPzFFtrW8LmSRJXZThqXk4hkySJKkwA5kkSVJhBjJJkroQx0c23oZcYwOZJEldRM+ePVm4cKGhrIEyk4ULF9KzZ8/12s5B/ZIkdRGDBw9m3rx5LFiwoHQpnVrPnj0ZPHjwem1jIJMkqYvo0aPHqq8UUnOxy1KSJKkwA5kkSVJhBjJJkqTCDGSSJEmFGcgkSZIKM5BJkiQVZiCTJEkqzEAmSZJUmIFMkiSpMAOZJElSYQYySZKkwgxkkiRJhRnIJEmSCjOQSZIkFdbQQBYRfx8RMyLi4YiYGBE9I2JEREyNiCci4vsRsWW97lb19BP18uGNrE2SJKlZNCyQRcQg4FPAqMzcBegGnAR8Cfh6Zr4DeAE4vd7kdOCFev7X6/UkSZI6vUZ3WXYHto6I7sA2wHzgYGBSvXwCcGz9/Jh6mnr5IRERDa5PkiSpuIYFssx8GvgKMIcqiC0GpgOLMnNZvdo8YFD9fBAwt952Wb1+v0bVJ0mS1Cwa2WXZl6rVawSwA7AtcFgH7PesiJgWEdMWLFiwsbuTJEkqrpFdlu8HnsrMBZm5FLgB2AfoU3dhAgwGnq6fPw0MAaiX9wYWtt5pZl6RmaMyc9SAAQMaWL4kSdKm0chANgfYKyK2qceCHQI8AkwGjq/XORW4sX7+k3qaevmdmZkNrE+SJKkpNHIM2VSqwfn3AQ/Vx7oCuBC4ICKeoBojNr7eZDzQr55/AXBRo2qTJElqJt3XvcqGy8x/Bv651ewngT3bWPc14IRG1iNJktSMvFO/JElSYQYySZKkwgxkkiRJhRnIJEmSCjOQSZIkFWYgkyRJKsxAJkmSVJiBTJIkqTADmSRJUmEGMkmSpMIMZJIkSYUZyCRJkgozkEmSJBVmIJMkSSrMQCZJklSYgUySJKkwA5kkSVJhBjJJkqTCDGSSJEmFGcgkSZIKM5BJkiQVZiCTJEkqzEAmSZJUmIFMkiSpMAOZJElSYQYySZKkwgxkkiRJhRnIJEmSCjOQSZIkFWYgkyRJKsxAJkmSVJiBTJIkqTADmSRJUmEGMkmSpMIMZJIkSYUZyCRJkgozkEmSJBVmIJMkSSrMQCZJklSYgUySJKkwA5kkSVJhBjJJkqTCDGSSJEmFdS9dgKSNN3TYcObOmV26jHXq1r1H6RIkqSkZyKROYO6c2Uyesbx0Get00M7dSpcgSU3JLktJkqTCDGSSJEmFGcgkSZIKM5BJkiQVZiCTJEkqzEAmSZJUmIFMkiSpMAOZJElSYQYySZKkwgxkkiRJhRnIJEmSCjOQSZIkFWYgkyRJKqyhgSwi+kTEpIh4NCJmRsTeEbF9RNweEY/X//at142I+EZEPBERD0bE7o2sTZIkqVk0uoXsP4BbM/MvgF2BmcBFwB2ZuSNwRz0NcDiwY/04C7i8wbVJkiQ1hYYFsojoDewPjAfIzCWZuQg4BphQrzYBOLZ+fgzwnazcA/SJiLc2qj5JkqRm0cgWshHAAuCqiLg/Iq6MiG2BgZk5v17nGWBg/XwQMLfF9vPqeZIkSZ1aIwNZd2B34PLM/EvgFf7cPQlAZiaQ67PTiDgrIqZFxLQFCxZ0WLGSJEmlNDKQzQPmZebUenoSVUB7dmVXZP3vc/Xyp4EhLbYfXM9bTWZekZmjMnPUgAEDGla8JEnSptKwQJaZzwBzI+Jd9axDgEeAnwCn1vNOBW6sn/8EOKX+tOVewOIWXZuSJEmdVvcG7/884JqI2BJ4Evg4VQi8PiJOB2YDJ9br3gIcATwBvFqvK0mS1Ok1NJBl5gPAqDYWHdLGugmc08h6JEmSmpF36pckSSrMQCZJklSYgUySJKkwA5kkSVJhBjJJkqTCDGSSJEmFGcgkSZIKM5BJkiQVZiCTJEkqzEAmSZJUmIFMkiSpMAOZJElSYQYySZKkwgxkkiRJhRnIJEmSCjOQSZIkFWYgkyRJKsxAJkmSVJiBTJIkqTADmSRJUmHtCmQRsU975kmSJGn9tbeFbGw750mSJGk9dV/bwojYG3gfMCAiLmix6E1At0YWJkmS1FWsNZABWwLb1ev1ajH/ReD4RhUlSZLUlaw1kGXmL4FfRsTVmTl7E9UkSZLUpayrhWylrSLiCmB4y20y8+BGFCVJktSVtDeQ/QAYB1wJLG9cOZIkSV1PewPZssy8vKGVSJIkdVHtve3FTyPi7yLirRGx/cpHQyuTJEnqItrbQnZq/e9nW8xL4G0dW44kSVLX065AlpkjGl2IJElSV9WuQBYRp7Q1PzO/07HlSJIkdT3t7bJ8b4vnPYFDgPsAA5kkFTJ82FBmz5lbuox2GTZ0CLNmzyldhtS02ttleV7L6YjoA1zXiIIkSe0ze85cXp96c+ky2mWr0UeWLkFqau39lGVrrwCOK5MkSeoA7R1D9lOqT1VC9aXiOwHXN6ooSZKkrqS9Y8i+0uL5MmB2Zs5rQD2SJEldTru6LOsvGX8U6AX0BZY0sihJkqSupF2BLCJOBO4FTgBOBKZGxPGNLEySJKmraG+X5f8B3puZzwFExADgF8CkRhUmSZLUVbT3U5ZbrAxjtYXrsa0kSZLWor0tZLdGxM+BifX0h4FbGlOSJElS17LWQBYR7wAGZuZnI+I4YN960f8C1zS6OEmSpK5gXS1klwGfA8jMG4AbACLi3fWyoxtYmyRJUpewrkA2MDMfaj0zMx+KiOGNKUmSyurWvQcRUbqMderWvUfpEiR1kHUFsj5rWbZ1B9YhSU1j+bKlTJ6xvHQZ63TQzt1KlyCpg6zrk5LTIuLM1jMj4gxgemNKkiRJ6lrW1UL2aeBHEXEyfw5go4AtgQ81sC5JkqQuY62BLDOfBd4XEQcBu9Szb87MOxtemSRJUhfRrvuQZeZkYHKDa5EkSeqSvNu+JElSYQYySZKkwgxkkiRJhRnIJEmSCjOQSZIkFWYgkyRJKsxAJkmSVJiBTJIkqbCGB7KI6BYR90fETfX0iIiYGhFPRMT3I2LLev5W9fQT9fLhja5NkiSpGWyKFrLzgZktpr8EfD0z3wG8AJxezz8deKGe//V6PUmSpE6voYEsIgYDRwJX1tMBHAxMqleZABxbPz+mnqZefki9viRJUqfW6Bayy4B/BFbU0/2ARZm5rJ6eBwyqnw8C5gLUyxfX60uSJHVqDQtkEXEU8FxmTu/g/Z4VEdMiYtqCBQs6cteSJElFNLKFbB/ggxExC7iOqqvyP4A+EdG9Xmcw8HT9/GlgCEC9vDewsPVOM/OKzByVmaMGDBjQwPIlSZI2jYYFssz8XGYOzszhwEnAnZl5MjAZOL5e7VTgxvr5T+pp6uV3ZmY2qj5JkqRmUeI+ZBcCF0TEE1RjxMbX88cD/er5FwAXFahNkiRpk+u+7lU2XmZOAabUz58E9mxjndeAEzZFPZIkSc3EO/VLkiQVZiCTJEkqzEAmSZJUmIFMkiSpMAOZJElSYQYySZKkwgxkkiRJhRnIJEmSCjOQSZIkFWYgkyRJKsxAJkmSVJiBTJIkqTADmSRJUmEGMkmSpMIMZJIkSYUZyCRJkgozkEmSJBVmINMmN3TYcCKi6R9Dhw0vfakkSV1E99IFqOuZO2c2k2csL13GOh20c7fSJUiSughbyCRJkgozkEmSJBVmIJMkSSrMQCZJklSYgUySJKkwA5kkSVJhBjJJkqTCDGSSJEmFGcgkSZIKM5BJkiQVZiCTJEkqzEAmSZJUmIFMkiSpMAOZJElSYQYySZKkwgxkkiRJhRnIJEmSCjOQSZIkFWYgkyRJKsxAJkmSVJiBTJIkqTADmSRJUmEGMkmSpMIMZJIkSYUZyCRJkgozkEmSJBVmIJMkSSrMQCZJklSYgUySJKkwA5kkSVJhBjJJkqTCDGSSJEmFGcgkSZIKM5BJkiQVZiCTJEkqzEAmSZJUmIFMkiSpMAOZJElSYQYySZKkwhoWyCJiSERMjohHImJGRJxfz98+Im6PiMfrf/vW8yMivhERT0TEgxGxe6NqkyRJaiaNbCFbBvxDZo4E9gLOiYiRwEXAHZm5I3BHPQ1wOLBj/TgLuLyBtUmSJDWNhgWyzJyfmffVz18CZgKDgGOACfVqE4Bj6+fHAN/Jyj1An4h4a6PqkyRJahabZAxZRAwH/hKYCgzMzPn1omeAgfXzQcDcFpvNq+dJkiR1ag0PZBGxHfBD4NOZ+WLLZZmZQK7n/s6KiGkRMW3BggUdWKkkSVIZDQ1kEdGDKoxdk5k31LOfXdkVWf/7XD3/aWBIi80H1/NWk5lXZOaozBw1YMCAxhUvSZK0iTTyU5YBjAdmZubXWiz6CXBq/fxU4MYW80+pP225F7C4RdemJElSp9W9gfveB/gY8FBEPFDPuxj4InB9RJwOzAZOrJfdAhwBPAG8Cny8gbVJkiQ1jYYFssz8NRBrWHxIG+sncE6j6pEkSWpW3qlfkiSpMAOZJElSYQYySZKkwgxkkiRJhRnIJEmSCjOQSZIkFWYgkyRJKsxAJkmSVJiBTJIkqbBGfnWStNmrvpJVkqTGMpBJa/H61JtLl9AuW40+snQJkqSNYJelJElSYQYySZKkwgxkkiRJhRnIJEmSCjOQSZIkFWYgkyRJKsxAJkmSVJiBTJIkqTADmSRJUmEGMkmSpML86iRJUsN1695js/hu2CFDhzFn9qzSZagLMpBJkhpu+bKlTJ6xvHQZ63TQzt1Kl6Auyi5LSZKkwgxkkiRJhRnIJEmSCjOQSZIkFWYgkyRJKsxAJkmSVJiBTJIkqTADmSRJUmEGMkmSpMIMZJIkSYUZyCRJkgozkEmSJBVmIJMkSSrMQCZJklSYgUySJKkwA5kkSVJhBjJJkqTCDGSSJEmFGcgkSZIKM5BJkiQVZiCTJEkqzEAmSZJUmIFMkiSpMAOZJElSYQYySZKkwrqXLkCSpGYSEaVLWKdhQ4cwa/ac0mWoAxnIJElq4fWpN5cuYZ22Gn1k6RLUweyylCRJKsxAJkmSVJiBTJIkqTAD2ToMHTaciNgsHkOHDS99uSRJm0C37j2Kv+f4vtSxHNS/DnPnzGbyjOWly2iXg3buVroESdImsHzZ0s3ivcn3pfazhUySJKkwA5kkSVJhBjJJkqTCmiqQRcRhEfFYRDwREReVrkeSJGlTaJpAFhHdgP8EDgdGAh+JiJFlq5IkSWq8pglkwJ7AE5n5ZGYuAa4DjilckyRJUsM1UyAbBMxtMT2vnidJktSpRWaWrgGAiDgeOCwzz6inPwaMzsxzW613FnBWPfku4LFNWmjH6g/8sXQRmwmv1frxerWf16r9vFbt57VaP13leg3LzAFtLWimG8M+DQxpMT24nreazLwCuGJTFdVIETEtM0eVrmNz4LVaP16v9vNatZ/Xqv28VuvH69VcXZa/AXaMiBERsSVwEvCTwjVJkiQ1XNO0kGXmsog4F/g50A34dmbOKFyWJElSwzVNIAPIzFuAW0rXsQl1iq7XTcRrtX68Xu3ntWo/r1X7ea3WT5e/Xk0zqF+SJKmraqYxZJIkSV2SgayAiOgZEfdGxG8jYkZEjCldU7OLiG4RcX9E3FS6lmYWEbMi4qGIeCAippWup5lFRJ+ImBQRj0bEzIjYu3RNzSoi3lW/plY+XoyIT5euq1lFxN/Xf9sfjoiJEdGzdE3NKiLOr6/TjK7+mrLLsoCICGDbzHw5InoAvwbOz8x7CpfWtCLiAmAU8KbMPKp0Pc0qImYBozKzK9zPZ6NExATgV5l5Zf3J7m0yc1Hhsppe/TV3T1PdJ3J26XqaTUQMovqbPjIz/xQR1wO3ZObVZStrPhGxC9W38uwJLAFuBc7OzCeKFlaILWQFZOXlerJH/TAZr0FEDAaOBK4sXYs6h4joDewPjAfIzCWGsXY7BPi9YWytugNbR0R3YBvgD4XraVY7AVMz89XMXAb8EjiucE3FGMgKqbvgHgCeA27PzKmFS2pmlwH/CKwoXMfmIIHbImJ6/a0WatsIYAFwVd0VfmVEbFu6qM3EScDE0kU0q8x8GvgKMAeYDyzOzNvKVtW0Hgb2i4h+EbENcASr3yC+SzGQFZKZyzNzN6pvJNizbrpVKxFxFPBcZk4vXctmYt/M3B04HDgnIvYvXVCT6g7sDlyemX8JvAJcVLak5ld37X4Q+EHpWppVRPQFjqEK/TsA20bE35Stqjll5kzgS8BtVN2VDwDLS9ZUkoGssLqbZDJwWOFSmtU+wAfrsVHXAQdHxPfKltS86v+dk5nPAT+iGpuhN5oHzGvRMj2JKqBp7Q4H7svMZ0sX0sTeDzyVmQsycylwA/C+wjU1rcwcn5l7ZOb+wAvA70rXVIqBrICIGBARfernWwN/BTxatKgmlZmfy8zBmTmcqqvkzsz0f5ttiIhtI6LXyufAB6i6BNRKZj4DzI2Id9WzDgEeKVjS5uIj2F25LnOAvSJim/oDXIcAMwvX1LQi4s31v0Opxo9dW7aicprqTv1dyFuBCfWnlbYArs9Mb+egjTUQ+FH1HkB34NrMvLVsSU3tPOCauhvuSeDjhetpanXI/yvgk6VraWaZOTUiJgH3AcuA+/Eu9Gvzw4joBywFzunKH67xtheSJEmF2WUpSZJUmIFMkiSpMAOZJElSYQYySZKkwgxkkiRJhRnIJHU6ETE4Im6MiMcj4smI+GZEbLWB+5oSEaPq57dERJ/68XcdW7WkrsxAJqlTqW/GeQPw48zcEdgR2Br48sbuOzOPqO+T1AcwkEnqMAYySZ3NwcBrmXkVVN8bC/w9cEpEnBsR31y5YkTcFBEH1s8vj4hpETEjIsa0teOImBUR/YEvAm+PiAci4t8j4jsRcWyL9a6JiGMadYKSOh/v1C+ps9kZWO3L6DPzxfr7UNf2N+//ZObz9Tdo3BER78nMB9ew7kXALpm5G0BEHEAV+n4cEb2pvrvw1I07DUldiS1kklQ5MSLuo/qqm52Bke3dMDN/CewYEQOovu/xh5m5rDFlSuqMDGSSOptHgD1azoiINwFvARay+t+9nvXyEcBngEMy8z3AzSuXrYfvAH9D9Z2Y396gyiV1WQYySZ3NHcA2EXEKQN0F+VXgm8BTwG4RsUVEDAH2rLd5E/AKsDgiBgKHr+MYLwG9Ws27Gvg0QGY+svGnIakrMZBJ6lQyM4EPAcdHxONUrWIrMvMLwP9QhbJHgG8A99Xb/Jaqq/JR4Np6vbUdYyHwPxHxcET8ez3vWWAmcFUjzktS5xbV3y5J6pwi4n3AROBDmXlfA4+zDfAQsHtmLm7UcSR1TraQSerUMvPuzBzW4DD2fqrWsbGGMUkbwhYySZKkwmwhkyRJKsxAJkmSVJiBTJIkqTADmSRJUmEGMkmSpMIMZJIkSYX9fx6LSn2d1d6uAAAAAElFTkSuQmCC\n",
+      "text/plain": [
+       "<Figure size 720x432 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig2, ax2 = plt.subplots(figsize=(10,6))\n",
+    "plt.title('Sklearn Actuals vs Predictions Histogram')\n",
+    "plt.xlabel('Quality')\n",
+    "sns.histplot(results, bins=6, multiple = 'dodge', palette = 'coolwarm')\n",
+    "plt.savefig('/mnt/visualizations/sklearn_actual_v_pred_hist.png')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "id": "de4c3f69-720b-45e5-b6cb-f87faf297c37",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pickle \n",
+    "\n",
+    "# save best model\n",
+    "file = '/mnt/models/sklearn_gbm.pkl'\n",
+    "pickle.dump(gbr, open(file, 'wb'))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "id": "b464fcd1-9ea5-4e7a-9577-744d743ff841",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>density</th>\n",
+       "      <th>volatile_acidity</th>\n",
+       "      <th>chlorides</th>\n",
+       "      <th>is_red</th>\n",
+       "      <th>alcohol</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1.0010</td>\n",
+       "      <td>0.27</td>\n",
+       "      <td>0.045</td>\n",
+       "      <td>0</td>\n",
+       "      <td>8.8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>0.9940</td>\n",
+       "      <td>0.30</td>\n",
+       "      <td>0.049</td>\n",
+       "      <td>0</td>\n",
+       "      <td>9.5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>0.9951</td>\n",
+       "      <td>0.28</td>\n",
+       "      <td>0.050</td>\n",
+       "      <td>0</td>\n",
+       "      <td>10.1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>0.9956</td>\n",
+       "      <td>0.23</td>\n",
+       "      <td>0.058</td>\n",
+       "      <td>0</td>\n",
+       "      <td>9.9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>0.9956</td>\n",
+       "      <td>0.23</td>\n",
+       "      <td>0.058</td>\n",
+       "      <td>0</td>\n",
+       "      <td>9.9</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   density  volatile_acidity  chlorides  is_red  alcohol\n",
+       "0   1.0010              0.27      0.045       0      8.8\n",
+       "1   0.9940              0.30      0.049       0      9.5\n",
+       "2   0.9951              0.28      0.050       0     10.1\n",
+       "3   0.9956              0.23      0.058       0      9.9\n",
+       "4   0.9956              0.23      0.058       0      9.9"
+      ]
+     },
+     "execution_count": 38,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "X.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "9ca11714-a82a-4aeb-9017-fa328a30c610",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.12"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/scripts/.ipynb_checkpoints/multitrain-checkpoint.py b/scripts/.ipynb_checkpoints/multitrain-checkpoint.py
index 9cb8593..352fb37 100644
--- a/scripts/.ipynb_checkpoints/multitrain-checkpoint.py
+++ b/scripts/.ipynb_checkpoints/multitrain-checkpoint.py
@@ -2,27 +2,29 @@
 import os
 import time
 
-# In this project we will use Domino's platform API through it's Python wrapper to kick off several training jobs at the same time!
-
-print('Initializing Domino Project for API calls')
-
-# Initialize Domino Project
-# Domino automatically passes down environment variables about the project, owner and even our individual API key and Token file for executing the Jobs in Domino.
+# Import mlflow & initiate client
+import mlflow
+import mlflow.sklearn
+import mlflow.tracking
+import mlflow.projects
+
+ 
+#initialize Domino Project
 domino_project =domino.Domino(project = str(os.environ.get('DOMINO_PROJECT_OWNER')+'/'+os.environ.get('DOMINO_PROJECT_NAME')),
-                              api_key = os.environ.get('DOMINO_USER_API_KEY'),
                               domino_token_file=os.environ.get('DOMINO_TOKEN_FILE'))
+ 
+print('Kicking off sklearn logisitc regression model training')
+domino_project.job_start(command='scripts/sklearn_log_reg_train.py')
+ 
+print('Kicking off h2o model training')
+domino_project.job_start(command='scripts/h2o_model_train.py')
+  
+print('Kicking off sklearn random forest model training')
+domino_project.job_start(command='scripts/sklearn_RF_train.py')
 
+print('Kicking off XGBoost model training')
+domino_project.job_start(command='scripts/xgb_model_train.py')
 
-# First we will start our sklearn model training 
-print('Kicking off sklearn model training')
-domino_project.job_start(command='scripts/sklearn_model_train.py')
-
-# Then our xgboost written in R
-print('Kicking off R model training')
-domino_project.job_start(command='scripts/R_model_train.R')
 
-# And finally our h2o automl model training
-print('Kicking off h2o model training')
-domino_project.job_start(command='scripts/h2o_model_train.py')
 
 print('Done!')
\ No newline at end of file
diff --git a/scripts/.ipynb_checkpoints/sklearn_log_reg_train-checkpoint.py b/scripts/.ipynb_checkpoints/sklearn_log_reg_train-checkpoint.py
new file mode 100644
index 0000000..d1dbcae
--- /dev/null
+++ b/scripts/.ipynb_checkpoints/sklearn_log_reg_train-checkpoint.py
@@ -0,0 +1,229 @@
+import pandas as pd
+import numpy as np
+import matplotlib.pyplot as plt
+import seaborn as sns
+import sklearn
+from sklearn.linear_model import LogisticRegression
+from sklearn.metrics import roc_auc_score, log_loss, f1_score, precision_score, recall_score, precision_recall_curve, PrecisionRecallDisplay, confusion_matrix, ConfusionMatrixDisplay, RocCurveDisplay
+from sklearn.model_selection import train_test_split
+import json
+import os
+from datetime import datetime
+
+# Import mlflow
+import mlflow
+import mlflow.sklearn
+from mlflow.store.artifact.runs_artifact_repo import RunsArtifactRepository
+from mlflow.models.signature import infer_signature
+
+def create_visuals(model, param):
+    
+    print('Creating visualizations for param {}'.format(str(param)))
+
+    # Add visualizations and save for inspection
+    # RocCurveDisplay.from_estimator(log_reg, X_test, y_test, name='Logistic Regression AUC Curve')
+    roc_curve_display = sklearn.metrics.plot_roc_curve(model, X_test, y_test)
+    fig = roc_curve_display.figure_
+    plt.savefig('/mnt/artifacts/log_reg_ROC_Curve_C={}.png'), str(param)
+
+    y_pred = log_reg.predict(X_test)
+    cm = confusion_matrix(y_test, y_pred)
+
+    cm_display = ConfusionMatrixDisplay(cm).plot()
+
+    plt.savefig('/mnt/artifacts/log_reg_confusion_matrix_C={}.png'), str(param)
+
+    prec, recall, _ = precision_recall_curve(y_test, y_pred,
+                                             pos_label=log_reg.classes_[1])
+
+    pr_display = PrecisionRecallDisplay(precision=prec, recall=recall).plot()
+
+    plt.savefig('/mnt/artifacts/log_reg_precision_recall_C={}.png'), str(param)
+
+    
+    mlflow.log_artifact('/mnt/artifacts/log_reg_ROC_Curve_C={}.png'), str(param)
+    mlflow.log_artifact('/mnt/artifacts/log_reg_confusion_matrix_C={}.png'), str(param)
+    mlflow.log_artifact('/mnt/artifacts/log_reg_precision_recall_C={}.png'), str(param)  
+
+#read in data then split into train and test
+ 
+path = str('/mnt/data/mlops-best-practices/credit_card_default.csv')
+df = pd.read_csv(path)
+print('Read in {} rows of data'.format(df.shape[0]))
+  
+#Get data set up for model training and evaluation
+ 
+#Drop NA rows
+df = df.dropna(how='any',axis=0)
+
+#Split df into inputs and target
+
+# Downsample data for speed
+
+columns_to_model = ['PAY_0', 'PAY_2', 'PAY_4', 'LIMIT_BAL', 'PAY_3', 'BILL_AMT1']
+
+df = df.sample(n=1000, random_state=42, axis=0)
+ 
+# Drop NA rows
+df = df.dropna(how='any',axis=0)
+
+#Split df into inputs and target
+X = df[columns_to_model]
+y = df['DEFAULT']
+
+#Create 70/30 train test split
+X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=42)
+ 
+#initiate and fit Gradient Boosted Classifier
+print('Training model...')
+log_reg = LogisticRegression(penalty='l1', solver='liblinear', random_state=42)
+log_reg.fit(X_train, y_train)
+ 
+#Predict test set
+print('Evaluating initial model on test data...')
+preds = log_reg.predict(X_test)
+ 
+#View performance metrics and save them to domino stats!
+
+m_auc = np.round(roc_auc_score(y_test, log_reg.predict_proba(X_test)[:, 1]), 4)
+m_logloss = np.round(log_loss(y_test, log_reg.predict_proba(X_test)[:, 1]), 4)
+m_f1_score = np.round(f1_score(y_test, log_reg.predict(X_test)), 4)
+m_precision_score = np.round(precision_score(y_test, log_reg.predict(X_test)), 4)
+m_recall_score = np.round(recall_score(y_test, log_reg.predict(X_test)), 4)
+
+print("AUC: ", m_auc)
+print("logloss: ", m_logloss)
+ 
+#Code to write R2 value and MSE to dominostats value for population in experiment manager
+with open('dominostats.json', 'w') as f:
+    f.write(json.dumps({"AUC": m_auc,
+                       "logloss": m_logloss}))
+
+print('Creating visualizations...')
+
+# Add visualizations and save for inspection
+# RocCurveDisplay.from_estimator(log_reg, X_test, y_test, name='Logistic Regression AUC Curve')
+roc_curve_display = sklearn.metrics.plot_roc_curve(log_reg, X_test, y_test)
+fig = roc_curve_display.figure_
+plt.savefig('/mnt/artifacts/log_reg_ROC_Curve.png')
+
+y_pred = log_reg.predict(X_test)
+cm = confusion_matrix(y_test, y_pred)
+
+cm_display = ConfusionMatrixDisplay(cm).plot()
+
+plt.savefig('/mnt/artifacts/log_reg_confusion_matrix.png')
+
+prec, recall, _ = precision_recall_curve(y_test, y_pred,
+                                         pos_label=log_reg.classes_[1])
+
+pr_display = PrecisionRecallDisplay(precision=prec, recall=recall).plot()
+
+plt.savefig('/mnt/artifacts/log_reg_precision_recall.png')
+
+#Saving trained model to serialized pickle object 
+ 
+import pickle 
+ 
+# save best model
+file = '/mnt/code/models/sklearn_logreg.pkl'
+pickle.dump(log_reg, open(file, 'wb'))
+
+
+### Log results in Experiment Tracker ###
+
+experiment = mlflow.set_experiment(experiment_name=os.environ.get('DOMINO_PROJECT_NAME') + " " + os.environ.get('DOMINO_STARTING_USERNAME'))
+
+# Unique name for Experiment Run
+now = datetime.now()
+dt_string = now.strftime("%m/%d/%Y")
+
+run_name = 'LogReg Tuning ' + dt_string
+
+with mlflow.start_run(run_name=run_name) as parent_run:
+    
+    print('Logging logistic regression performance to Experiment Tracker')
+    
+    # Set MLFlow tag to differenciate the model approaches
+    mlflow.set_tag("Model_Type", "sklearn")
+
+    # Unique name to log the model with MLFlow
+    now = datetime.now()
+    dt_string = now.strftime("%d/%m/%Y %H:%M:%S")
+ 
+    model_name = 'Logistic_Regression_Model_{}'.format(dt_string)
+    
+    # Specify model signature for scoring
+    signature = infer_signature(X_test, y_test)
+    print(f"model signature: {signature}")
+    
+    for c in [0.01, 0.1, 1, 10]:
+                
+        child_run = 'C: {}'.format(str(c))
+        
+        with mlflow.start_run(run_name=child_run, nested=True) as child_run:
+            
+            mlflow.set_tag("Model_Type", "sklearn")
+            
+            log_reg = LogisticRegression(penalty='l1',
+                                         solver='liblinear',
+                                         C=c,
+                                         random_state=42)
+            
+            log_reg.fit(X_train, y_train)
+
+            #Predict test set
+            print('Traiing on C={}'.format(str(c)))
+            preds = log_reg.predict(X_test)
+
+            # Score Model
+            preds = log_reg.predict(X_test)
+
+            # Calc Model Performance
+            m_auc = np.round(roc_auc_score(y_test, log_reg.predict_proba(X_test)[:, 1]), 4)
+            m_logloss = np.round(log_loss(y_test, log_reg.predict_proba(X_test)[:, 1]), 4)
+            m_f1_score = np.round(f1_score(y_test, log_reg.predict(X_test)), 4)
+            m_precision_score = np.round(precision_score(y_test, log_reg.predict(X_test)), 4)
+            m_recall_score = np.round(recall_score(y_test, log_reg.predict(X_test)), 4)
+
+            # Model Parameters
+            mlflow.log_param("penalty", 'l1')
+            mlflow.log_param("solver", 'liblinear')
+            mlflow.log_param("C", c)
+            mlflow.log_param("random_state", 42)
+            mlflow.log_param("model_type", "sklearn")
+
+            # Model Metrics
+            mlflow.log_metric("AUC", m_auc)
+            mlflow.log_metric("logloss", m_logloss)
+            mlflow.log_metric("f1_score", m_f1_score)
+            mlflow.log_metric("precision_score", m_precision_score)
+            mlflow.log_metric("recall_score", m_recall_score)
+            
+            mlflow.sklearn.log_model(log_reg,
+                         artifact_path="logreg_model",
+                         signature=signature)
+            
+            create_visuals(log_reg, c)
+            
+    # Model Artifacts
+    mlflow.log_artifact('/mnt/artifacts/log_reg_ROC_Curve.png')
+    mlflow.log_artifact('/mnt/artifacts/log_reg_confusion_matrix.png')
+    mlflow.log_artifact('/mnt/artifacts/log_reg_precision_recall.png')
+    mlflow.log_artifact('/mnt/code/models/sklearn_logreg.pkl')
+
+    # Log Model in the Model Registry
+    print('Logging logistic regression model to Experiment Tracker')
+
+    mlflow.sklearn.log_model(log_reg,
+                             artifact_path="logreg_model",
+                             signature=signature)
+    
+    # You can register your model from here, or from the Domino Experiments Tracker
+
+    # client = mlflow.tracking.MlflowClient()
+    # client.create_registered_model(model_name)
+
+mlflow.end_run()
+ 
+print('Script complete!')
\ No newline at end of file
diff --git a/scripts/multitrain.py b/scripts/multitrain.py
index 63c47df..352fb37 100644
--- a/scripts/multitrain.py
+++ b/scripts/multitrain.py
@@ -8,28 +8,6 @@
 import mlflow.tracking
 import mlflow.projects
 
-print('Initializing MLFlow Client')
-
-# Initiate MLFlow client
-client = mlflow.tracking.MlflowClient()
-
-# Verify MLFLow URI
-print('MLFLOW_TRACKING_URI: ' + os.environ['MLFLOW_TRACKING_URI'])
-
-experiment_name = os.environ.get('DOMINO_PROJECT_NAME') + " " + os.environ.get('DOMINO_STARTING_USERNAME')
-experiment = mlflow.set_experiment(experiment_name=experiment_name) #changeit
-
-print('Experiment "{}" created, Experiment ID: {}'.format(experiment_name, experiment.experiment_id))
-print("Artifact Location: {}".format(experiment.artifact_location))
-print("Tags: {}".format(experiment.tags))
- 
-print('Initializing Domino Project for API calls')
-
-# Create the output image directory in a Domino Dataset, if it doesn't already exist
-path = '/domino/datasets/local/{}/visualizations'.format(os.environ.get('DOMINO_PROJECT_NAME'))
-
-if not os.path.exists(path):
-    os.makedirs(path)
  
 #initialize Domino Project
 domino_project =domino.Domino(project = str(os.environ.get('DOMINO_PROJECT_OWNER')+'/'+os.environ.get('DOMINO_PROJECT_NAME')),