diff --git a/pct/_toc.yml b/pct/_toc.yml
index 1ec91a4..ca0e2c2 100644
--- a/pct/_toc.yml
+++ b/pct/_toc.yml
@@ -13,6 +13,13 @@ chapters:
   - file: modules/01/env.md
   - file: modules/01/jupyter.md
   - file: modules/01/git.md
+- file: modules/02/intro.md
+  sections:
+  - file: modules/02/Time-Series-Analysis.ipynb
+  - file: modules/02/Solar-Power-Forecasting.ipynb 
+- file: modules/03/intro.md
+  sections:
+  - file: modules/03/power-system-optimization-problem.ipynb
 - file: modules/04/intro.md
   sections:
   - file: modules/04/linear-equations.ipynb
diff --git a/pct/modules/02/Data analytics and visualization in Python b/pct/modules/02/Data analytics and visualization in Python
deleted file mode 100644
index 8b13789..0000000
--- a/pct/modules/02/Data analytics and visualization in Python	
+++ /dev/null
@@ -1 +0,0 @@
-
diff --git a/pct/modules/02/Intro.md b/pct/modules/02/Intro.md
new file mode 100644
index 0000000..225fc9c
--- /dev/null
+++ b/pct/modules/02/Intro.md
@@ -0,0 +1,33 @@
+
+# Data analytics and visualization in Python
+## Overview: Time Series Data Analysis 
+
+### Objective
+
+The goal is to perform an in-depth analysis of historic time series data of the power grid system of Great Britain over a span of multiple years, from 2016 to 2023. By leveraging tools like pandas, matplotlib, and seaborn, it aims to uncover trends, patterns, and insights across different time periods.
+
+Source of data: https://www.neso.energy/industry-information/balancing-services/frequency-response-services/historic-frequency-data
+
+### Key Components
+
+1.	**Data Loading**: Data is loaded from CSV files for each year and organized by month.
+2.	**Data Preprocessing**: The data is cleaned and combined for ease of analysis.
+3.	**Time Series Analysis**: Various metrics are computed, and monthly trends across different years along with yearly trends are compared.
+4.	**Data Visualization**: Graphs and visual representations are generated to communicate key insights.
+
+## Overview: Forecasting Solar-Energy Output
+### Objective
+The primary objective is to build and evaluate a predictive model, with a focus on understanding the relative importance of different features in making predictions. The model deals with structured data and aims to optimize prediction accuracy while providing explainability.  
+We use historical time-series data from a specified region in Mississippi from 2006 to analyze and forecast solar-energy output.
+
+### Key Components
+1. Data Preparation: Importing, cleaning, and preprocessing data for modeling.
+2. Model Development: Training machine learning models.
+   - ARIMA model
+   - Prophet model
+   - LightGBM model
+3. Feature Importance Analysis: Evaluating which features contribute the most to predictions.
+3. Visualization: Graphically representing feature importance for interpretability.
+
+
+
diff --git a/pct/modules/02/Solar-Power-Forecasting.ipynb b/pct/modules/02/Solar-Power-Forecasting.ipynb
new file mode 100644
index 0000000..07edc8d
--- /dev/null
+++ b/pct/modules/02/Solar-Power-Forecasting.ipynb
@@ -0,0 +1,3358 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "f94ec9d3-f194-4702-9a29-cf560b1891e4",
+   "metadata": {},
+   "source": [
+    "# Forecasting Solar-Energy Output\n",
+    "### Objective\n",
+    "The primary objective is to build and evaluate a predictive model, with a focus on understanding the relative importance of different features in making predictions. The model deals with structured data and aims to optimize prediction accuracy while providing explainability.  \n",
+    "We use historical time-series data from a specified region in Mississippi from 2006 to analyze and forecast solar-energy output."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b7924530-5be3-4652-b4a8-80bd24f9e633",
+   "metadata": {},
+   "source": [
+    "### Purpose\n",
+    "- To develop a machine learning pipeline.\n",
+    "- To analyze feature importance for interpretability.\n",
+    "- To improve predictive accuracy using feature engineering and optimization techniques."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ec6e796d-651a-4218-be8b-bb8fdd69d8c8",
+   "metadata": {},
+   "source": [
+    "### Who is this useful for?\n",
+    "- Data Scientists: Interested in understanding feature importance in models.\n",
+    "- Decision-Makers: Seeking insights from the predictions for actionable strategies.\n",
+    "- Students & Researchers: Exploring predictive modeling and feature analysis."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7bfa8072-5b58-48a2-9227-9c087db94966",
+   "metadata": {},
+   "source": [
+    "### Applications\n",
+    "- Predicting outcomes in structured data (e.g., sales, risk assessment, customer behavior).\n",
+    "- Identifying key drivers influencing outcomes for resource allocation.\n",
+    "- Benchmarking model performance against baseline algorithms."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d83c27be-d4fe-41a2-885a-045518e13845",
+   "metadata": {},
+   "source": [
+    "### Notebook Components\n",
+    "1. Data Preparation: Importing, cleaning, and preprocessing data for modeling.\n",
+    "2. Model Development: Training machine learning models.\n",
+    "   - ARIMA model\n",
+    "   - Prophet model\n",
+    "   - LightGBM model\n",
+    "3. Feature Importance Analysis: Evaluating which features contribute the most to predictions.\n",
+    "3. Visualization: Graphically representing feature importance for interpretability."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "id": "ab6a7f90-12c0-4e4d-8538-54ef86f17b1e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Import all the required libraries\n",
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "from statsmodels.tsa.stattools import adfuller\n",
+    "from statsmodels.graphics.tsaplots import plot_acf, plot_pacf\n",
+    "from statsmodels.tsa.arima.model import ARIMA\n",
+    "from sklearn.metrics import mean_squared_error\n",
+    "from statsmodels.tsa.statespace.sarimax import SARIMAX"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "id": "4c988522-caac-43e5-8ab0-05e9248e49c6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pd.set_option('display.max_rows', 300)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "id": "4865b5eb-332b-49ae-ae60-9e97816d4622",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# file path\n",
+    "df = pd.read_csv(\"ms-pv-2006/Actual_30.25_-89.45_2006_UPV_118MW_5_Min.csv\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "37d7db36-f0bd-47ab-b931-703e612b6725",
+   "metadata": {},
+   "source": [
+    "Add a new column \"DateTime\", with the following format specified and make it our index for later use"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "id": "9223d138-eec5-4b25-88d5-8b01edfeec46",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df['Datetime'] = pd.to_datetime(df['LocalTime'], format='%m/%d/%y %H:%M')\n",
+    "df.set_index('Datetime', inplace=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "id": "4fcde110-b42d-4cef-954a-355e108ac52e",
+   "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>LocalTime</th>\n",
+       "      <th>Power(MW)</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Datetime</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 00:00:00</th>\n",
+       "      <td>01/01/06 00:00</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 00:05:00</th>\n",
+       "      <td>01/01/06 00:05</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 00:10:00</th>\n",
+       "      <td>01/01/06 00:10</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 00:15:00</th>\n",
+       "      <td>01/01/06 00:15</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 00:20:00</th>\n",
+       "      <td>01/01/06 00:20</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 00:25:00</th>\n",
+       "      <td>01/01/06 00:25</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 00:30:00</th>\n",
+       "      <td>01/01/06 00:30</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 00:35:00</th>\n",
+       "      <td>01/01/06 00:35</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 00:40:00</th>\n",
+       "      <td>01/01/06 00:40</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 00:45:00</th>\n",
+       "      <td>01/01/06 00:45</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 00:50:00</th>\n",
+       "      <td>01/01/06 00:50</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 00:55:00</th>\n",
+       "      <td>01/01/06 00:55</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 01:00:00</th>\n",
+       "      <td>01/01/06 01:00</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 01:05:00</th>\n",
+       "      <td>01/01/06 01:05</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 01:10:00</th>\n",
+       "      <td>01/01/06 01:10</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 01:15:00</th>\n",
+       "      <td>01/01/06 01:15</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 01:20:00</th>\n",
+       "      <td>01/01/06 01:20</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 01:25:00</th>\n",
+       "      <td>01/01/06 01:25</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 01:30:00</th>\n",
+       "      <td>01/01/06 01:30</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 01:35:00</th>\n",
+       "      <td>01/01/06 01:35</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 01:40:00</th>\n",
+       "      <td>01/01/06 01:40</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 01:45:00</th>\n",
+       "      <td>01/01/06 01:45</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 01:50:00</th>\n",
+       "      <td>01/01/06 01:50</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 01:55:00</th>\n",
+       "      <td>01/01/06 01:55</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 02:00:00</th>\n",
+       "      <td>01/01/06 02:00</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 02:05:00</th>\n",
+       "      <td>01/01/06 02:05</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 02:10:00</th>\n",
+       "      <td>01/01/06 02:10</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 02:15:00</th>\n",
+       "      <td>01/01/06 02:15</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 02:20:00</th>\n",
+       "      <td>01/01/06 02:20</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 02:25:00</th>\n",
+       "      <td>01/01/06 02:25</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 02:30:00</th>\n",
+       "      <td>01/01/06 02:30</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 02:35:00</th>\n",
+       "      <td>01/01/06 02:35</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 02:40:00</th>\n",
+       "      <td>01/01/06 02:40</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 02:45:00</th>\n",
+       "      <td>01/01/06 02:45</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 02:50:00</th>\n",
+       "      <td>01/01/06 02:50</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 02:55:00</th>\n",
+       "      <td>01/01/06 02:55</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 03:00:00</th>\n",
+       "      <td>01/01/06 03:00</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 03:05:00</th>\n",
+       "      <td>01/01/06 03:05</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 03:10:00</th>\n",
+       "      <td>01/01/06 03:10</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 03:15:00</th>\n",
+       "      <td>01/01/06 03:15</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 03:20:00</th>\n",
+       "      <td>01/01/06 03:20</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 03:25:00</th>\n",
+       "      <td>01/01/06 03:25</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 03:30:00</th>\n",
+       "      <td>01/01/06 03:30</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 03:35:00</th>\n",
+       "      <td>01/01/06 03:35</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 03:40:00</th>\n",
+       "      <td>01/01/06 03:40</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 03:45:00</th>\n",
+       "      <td>01/01/06 03:45</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 03:50:00</th>\n",
+       "      <td>01/01/06 03:50</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 03:55:00</th>\n",
+       "      <td>01/01/06 03:55</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 04:00:00</th>\n",
+       "      <td>01/01/06 04:00</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 04:05:00</th>\n",
+       "      <td>01/01/06 04:05</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 04:10:00</th>\n",
+       "      <td>01/01/06 04:10</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 04:15:00</th>\n",
+       "      <td>01/01/06 04:15</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 04:20:00</th>\n",
+       "      <td>01/01/06 04:20</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 04:25:00</th>\n",
+       "      <td>01/01/06 04:25</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 04:30:00</th>\n",
+       "      <td>01/01/06 04:30</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 04:35:00</th>\n",
+       "      <td>01/01/06 04:35</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 04:40:00</th>\n",
+       "      <td>01/01/06 04:40</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 04:45:00</th>\n",
+       "      <td>01/01/06 04:45</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 04:50:00</th>\n",
+       "      <td>01/01/06 04:50</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 04:55:00</th>\n",
+       "      <td>01/01/06 04:55</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 05:00:00</th>\n",
+       "      <td>01/01/06 05:00</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 05:05:00</th>\n",
+       "      <td>01/01/06 05:05</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 05:10:00</th>\n",
+       "      <td>01/01/06 05:10</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 05:15:00</th>\n",
+       "      <td>01/01/06 05:15</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 05:20:00</th>\n",
+       "      <td>01/01/06 05:20</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 05:25:00</th>\n",
+       "      <td>01/01/06 05:25</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 05:30:00</th>\n",
+       "      <td>01/01/06 05:30</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 05:35:00</th>\n",
+       "      <td>01/01/06 05:35</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 05:40:00</th>\n",
+       "      <td>01/01/06 05:40</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 05:45:00</th>\n",
+       "      <td>01/01/06 05:45</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 05:50:00</th>\n",
+       "      <td>01/01/06 05:50</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 05:55:00</th>\n",
+       "      <td>01/01/06 05:55</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 06:00:00</th>\n",
+       "      <td>01/01/06 06:00</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 06:05:00</th>\n",
+       "      <td>01/01/06 06:05</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 06:10:00</th>\n",
+       "      <td>01/01/06 06:10</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 06:15:00</th>\n",
+       "      <td>01/01/06 06:15</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 06:20:00</th>\n",
+       "      <td>01/01/06 06:20</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 06:25:00</th>\n",
+       "      <td>01/01/06 06:25</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 06:30:00</th>\n",
+       "      <td>01/01/06 06:30</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 06:35:00</th>\n",
+       "      <td>01/01/06 06:35</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 06:40:00</th>\n",
+       "      <td>01/01/06 06:40</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 06:45:00</th>\n",
+       "      <td>01/01/06 06:45</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 06:50:00</th>\n",
+       "      <td>01/01/06 06:50</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 06:55:00</th>\n",
+       "      <td>01/01/06 06:55</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 07:00:00</th>\n",
+       "      <td>01/01/06 07:00</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 07:05:00</th>\n",
+       "      <td>01/01/06 07:05</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 07:10:00</th>\n",
+       "      <td>01/01/06 07:10</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 07:15:00</th>\n",
+       "      <td>01/01/06 07:15</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 07:20:00</th>\n",
+       "      <td>01/01/06 07:20</td>\n",
+       "      <td>3.6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 07:25:00</th>\n",
+       "      <td>01/01/06 07:25</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 07:30:00</th>\n",
+       "      <td>01/01/06 07:30</td>\n",
+       "      <td>3.6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 07:35:00</th>\n",
+       "      <td>01/01/06 07:35</td>\n",
+       "      <td>16.8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 07:40:00</th>\n",
+       "      <td>01/01/06 07:40</td>\n",
+       "      <td>20.9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 07:45:00</th>\n",
+       "      <td>01/01/06 07:45</td>\n",
+       "      <td>15.6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 07:50:00</th>\n",
+       "      <td>01/01/06 07:50</td>\n",
+       "      <td>22.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 07:55:00</th>\n",
+       "      <td>01/01/06 07:55</td>\n",
+       "      <td>26.9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 08:00:00</th>\n",
+       "      <td>01/01/06 08:00</td>\n",
+       "      <td>36.9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 08:05:00</th>\n",
+       "      <td>01/01/06 08:05</td>\n",
+       "      <td>38.6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 08:10:00</th>\n",
+       "      <td>01/01/06 08:10</td>\n",
+       "      <td>23.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 08:15:00</th>\n",
+       "      <td>01/01/06 08:15</td>\n",
+       "      <td>27.5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 08:20:00</th>\n",
+       "      <td>01/01/06 08:20</td>\n",
+       "      <td>29.5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 08:25:00</th>\n",
+       "      <td>01/01/06 08:25</td>\n",
+       "      <td>28.5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 08:30:00</th>\n",
+       "      <td>01/01/06 08:30</td>\n",
+       "      <td>27.2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 08:35:00</th>\n",
+       "      <td>01/01/06 08:35</td>\n",
+       "      <td>24.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 08:40:00</th>\n",
+       "      <td>01/01/06 08:40</td>\n",
+       "      <td>23.9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 08:45:00</th>\n",
+       "      <td>01/01/06 08:45</td>\n",
+       "      <td>23.1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 08:50:00</th>\n",
+       "      <td>01/01/06 08:50</td>\n",
+       "      <td>22.1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 08:55:00</th>\n",
+       "      <td>01/01/06 08:55</td>\n",
+       "      <td>20.6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 09:00:00</th>\n",
+       "      <td>01/01/06 09:00</td>\n",
+       "      <td>20.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 09:05:00</th>\n",
+       "      <td>01/01/06 09:05</td>\n",
+       "      <td>19.7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 09:10:00</th>\n",
+       "      <td>01/01/06 09:10</td>\n",
+       "      <td>18.9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 09:15:00</th>\n",
+       "      <td>01/01/06 09:15</td>\n",
+       "      <td>16.5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 09:20:00</th>\n",
+       "      <td>01/01/06 09:20</td>\n",
+       "      <td>16.3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 09:25:00</th>\n",
+       "      <td>01/01/06 09:25</td>\n",
+       "      <td>17.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 09:30:00</th>\n",
+       "      <td>01/01/06 09:30</td>\n",
+       "      <td>16.1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 09:35:00</th>\n",
+       "      <td>01/01/06 09:35</td>\n",
+       "      <td>15.1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 09:40:00</th>\n",
+       "      <td>01/01/06 09:40</td>\n",
+       "      <td>14.3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 09:45:00</th>\n",
+       "      <td>01/01/06 09:45</td>\n",
+       "      <td>14.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 09:50:00</th>\n",
+       "      <td>01/01/06 09:50</td>\n",
+       "      <td>13.6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 09:55:00</th>\n",
+       "      <td>01/01/06 09:55</td>\n",
+       "      <td>12.7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 10:00:00</th>\n",
+       "      <td>01/01/06 10:00</td>\n",
+       "      <td>13.5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 10:05:00</th>\n",
+       "      <td>01/01/06 10:05</td>\n",
+       "      <td>15.1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 10:10:00</th>\n",
+       "      <td>01/01/06 10:10</td>\n",
+       "      <td>15.7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 10:15:00</th>\n",
+       "      <td>01/01/06 10:15</td>\n",
+       "      <td>23.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 10:20:00</th>\n",
+       "      <td>01/01/06 10:20</td>\n",
+       "      <td>25.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 10:25:00</th>\n",
+       "      <td>01/01/06 10:25</td>\n",
+       "      <td>23.3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 10:30:00</th>\n",
+       "      <td>01/01/06 10:30</td>\n",
+       "      <td>17.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 10:35:00</th>\n",
+       "      <td>01/01/06 10:35</td>\n",
+       "      <td>18.3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 10:40:00</th>\n",
+       "      <td>01/01/06 10:40</td>\n",
+       "      <td>23.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 10:45:00</th>\n",
+       "      <td>01/01/06 10:45</td>\n",
+       "      <td>29.9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 10:50:00</th>\n",
+       "      <td>01/01/06 10:50</td>\n",
+       "      <td>30.5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 10:55:00</th>\n",
+       "      <td>01/01/06 10:55</td>\n",
+       "      <td>30.2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 11:00:00</th>\n",
+       "      <td>01/01/06 11:00</td>\n",
+       "      <td>36.6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 11:05:00</th>\n",
+       "      <td>01/01/06 11:05</td>\n",
+       "      <td>48.1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 11:10:00</th>\n",
+       "      <td>01/01/06 11:10</td>\n",
+       "      <td>54.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 11:15:00</th>\n",
+       "      <td>01/01/06 11:15</td>\n",
+       "      <td>40.1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 11:20:00</th>\n",
+       "      <td>01/01/06 11:20</td>\n",
+       "      <td>30.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 11:25:00</th>\n",
+       "      <td>01/01/06 11:25</td>\n",
+       "      <td>27.7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 11:30:00</th>\n",
+       "      <td>01/01/06 11:30</td>\n",
+       "      <td>25.7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 11:35:00</th>\n",
+       "      <td>01/01/06 11:35</td>\n",
+       "      <td>25.1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 11:40:00</th>\n",
+       "      <td>01/01/06 11:40</td>\n",
+       "      <td>23.9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 11:45:00</th>\n",
+       "      <td>01/01/06 11:45</td>\n",
+       "      <td>22.8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 11:50:00</th>\n",
+       "      <td>01/01/06 11:50</td>\n",
+       "      <td>22.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 11:55:00</th>\n",
+       "      <td>01/01/06 11:55</td>\n",
+       "      <td>20.5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 12:00:00</th>\n",
+       "      <td>01/01/06 12:00</td>\n",
+       "      <td>19.5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 12:05:00</th>\n",
+       "      <td>01/01/06 12:05</td>\n",
+       "      <td>18.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 12:10:00</th>\n",
+       "      <td>01/01/06 12:10</td>\n",
+       "      <td>17.5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 12:15:00</th>\n",
+       "      <td>01/01/06 12:15</td>\n",
+       "      <td>15.8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 12:20:00</th>\n",
+       "      <td>01/01/06 12:20</td>\n",
+       "      <td>15.9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 12:25:00</th>\n",
+       "      <td>01/01/06 12:25</td>\n",
+       "      <td>15.5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 12:30:00</th>\n",
+       "      <td>01/01/06 12:30</td>\n",
+       "      <td>13.7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 12:35:00</th>\n",
+       "      <td>01/01/06 12:35</td>\n",
+       "      <td>11.8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 12:40:00</th>\n",
+       "      <td>01/01/06 12:40</td>\n",
+       "      <td>11.6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 12:45:00</th>\n",
+       "      <td>01/01/06 12:45</td>\n",
+       "      <td>11.9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 12:50:00</th>\n",
+       "      <td>01/01/06 12:50</td>\n",
+       "      <td>11.8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 12:55:00</th>\n",
+       "      <td>01/01/06 12:55</td>\n",
+       "      <td>12.1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 13:00:00</th>\n",
+       "      <td>01/01/06 13:00</td>\n",
+       "      <td>10.9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 13:05:00</th>\n",
+       "      <td>01/01/06 13:05</td>\n",
+       "      <td>12.1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 13:10:00</th>\n",
+       "      <td>01/01/06 13:10</td>\n",
+       "      <td>14.3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 13:15:00</th>\n",
+       "      <td>01/01/06 13:15</td>\n",
+       "      <td>10.7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 13:20:00</th>\n",
+       "      <td>01/01/06 13:20</td>\n",
+       "      <td>5.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 13:25:00</th>\n",
+       "      <td>01/01/06 13:25</td>\n",
+       "      <td>8.1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 13:30:00</th>\n",
+       "      <td>01/01/06 13:30</td>\n",
+       "      <td>9.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 13:35:00</th>\n",
+       "      <td>01/01/06 13:35</td>\n",
+       "      <td>11.2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 13:40:00</th>\n",
+       "      <td>01/01/06 13:40</td>\n",
+       "      <td>12.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 13:45:00</th>\n",
+       "      <td>01/01/06 13:45</td>\n",
+       "      <td>13.9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 13:50:00</th>\n",
+       "      <td>01/01/06 13:50</td>\n",
+       "      <td>16.5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 13:55:00</th>\n",
+       "      <td>01/01/06 13:55</td>\n",
+       "      <td>18.6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 14:00:00</th>\n",
+       "      <td>01/01/06 14:00</td>\n",
+       "      <td>21.1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 14:05:00</th>\n",
+       "      <td>01/01/06 14:05</td>\n",
+       "      <td>21.5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 14:10:00</th>\n",
+       "      <td>01/01/06 14:10</td>\n",
+       "      <td>22.7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 14:15:00</th>\n",
+       "      <td>01/01/06 14:15</td>\n",
+       "      <td>24.8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 14:20:00</th>\n",
+       "      <td>01/01/06 14:20</td>\n",
+       "      <td>25.2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 14:25:00</th>\n",
+       "      <td>01/01/06 14:25</td>\n",
+       "      <td>27.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 14:30:00</th>\n",
+       "      <td>01/01/06 14:30</td>\n",
+       "      <td>28.7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 14:35:00</th>\n",
+       "      <td>01/01/06 14:35</td>\n",
+       "      <td>32.2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 14:40:00</th>\n",
+       "      <td>01/01/06 14:40</td>\n",
+       "      <td>34.5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 14:45:00</th>\n",
+       "      <td>01/01/06 14:45</td>\n",
+       "      <td>37.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 14:50:00</th>\n",
+       "      <td>01/01/06 14:50</td>\n",
+       "      <td>40.5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 14:55:00</th>\n",
+       "      <td>01/01/06 14:55</td>\n",
+       "      <td>42.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 15:00:00</th>\n",
+       "      <td>01/01/06 15:00</td>\n",
+       "      <td>43.8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 15:05:00</th>\n",
+       "      <td>01/01/06 15:05</td>\n",
+       "      <td>44.7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 15:10:00</th>\n",
+       "      <td>01/01/06 15:10</td>\n",
+       "      <td>45.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 15:15:00</th>\n",
+       "      <td>01/01/06 15:15</td>\n",
+       "      <td>42.1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 15:20:00</th>\n",
+       "      <td>01/01/06 15:20</td>\n",
+       "      <td>35.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 15:25:00</th>\n",
+       "      <td>01/01/06 15:25</td>\n",
+       "      <td>36.1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 15:30:00</th>\n",
+       "      <td>01/01/06 15:30</td>\n",
+       "      <td>27.9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 15:35:00</th>\n",
+       "      <td>01/01/06 15:35</td>\n",
+       "      <td>7.8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 15:40:00</th>\n",
+       "      <td>01/01/06 15:40</td>\n",
+       "      <td>28.6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 15:45:00</th>\n",
+       "      <td>01/01/06 15:45</td>\n",
+       "      <td>31.9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 15:50:00</th>\n",
+       "      <td>01/01/06 15:50</td>\n",
+       "      <td>27.5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 15:55:00</th>\n",
+       "      <td>01/01/06 15:55</td>\n",
+       "      <td>29.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 16:00:00</th>\n",
+       "      <td>01/01/06 16:00</td>\n",
+       "      <td>27.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 16:05:00</th>\n",
+       "      <td>01/01/06 16:05</td>\n",
+       "      <td>28.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 16:10:00</th>\n",
+       "      <td>01/01/06 16:10</td>\n",
+       "      <td>35.3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 16:15:00</th>\n",
+       "      <td>01/01/06 16:15</td>\n",
+       "      <td>32.7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 16:20:00</th>\n",
+       "      <td>01/01/06 16:20</td>\n",
+       "      <td>25.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 16:25:00</th>\n",
+       "      <td>01/01/06 16:25</td>\n",
+       "      <td>21.3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 16:30:00</th>\n",
+       "      <td>01/01/06 16:30</td>\n",
+       "      <td>17.8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006-01-01 16:35:00</th>\n",
+       "      <td>01/01/06 16:35</td>\n",
+       "      <td>9.9</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                          LocalTime  Power(MW)\n",
+       "Datetime                                      \n",
+       "2006-01-01 00:00:00  01/01/06 00:00        0.0\n",
+       "2006-01-01 00:05:00  01/01/06 00:05        0.0\n",
+       "2006-01-01 00:10:00  01/01/06 00:10        0.0\n",
+       "2006-01-01 00:15:00  01/01/06 00:15        0.0\n",
+       "2006-01-01 00:20:00  01/01/06 00:20        0.0\n",
+       "2006-01-01 00:25:00  01/01/06 00:25        0.0\n",
+       "2006-01-01 00:30:00  01/01/06 00:30        0.0\n",
+       "2006-01-01 00:35:00  01/01/06 00:35        0.0\n",
+       "2006-01-01 00:40:00  01/01/06 00:40        0.0\n",
+       "2006-01-01 00:45:00  01/01/06 00:45        0.0\n",
+       "2006-01-01 00:50:00  01/01/06 00:50        0.0\n",
+       "2006-01-01 00:55:00  01/01/06 00:55        0.0\n",
+       "2006-01-01 01:00:00  01/01/06 01:00        0.0\n",
+       "2006-01-01 01:05:00  01/01/06 01:05        0.0\n",
+       "2006-01-01 01:10:00  01/01/06 01:10        0.0\n",
+       "2006-01-01 01:15:00  01/01/06 01:15        0.0\n",
+       "2006-01-01 01:20:00  01/01/06 01:20        0.0\n",
+       "2006-01-01 01:25:00  01/01/06 01:25        0.0\n",
+       "2006-01-01 01:30:00  01/01/06 01:30        0.0\n",
+       "2006-01-01 01:35:00  01/01/06 01:35        0.0\n",
+       "2006-01-01 01:40:00  01/01/06 01:40        0.0\n",
+       "2006-01-01 01:45:00  01/01/06 01:45        0.0\n",
+       "2006-01-01 01:50:00  01/01/06 01:50        0.0\n",
+       "2006-01-01 01:55:00  01/01/06 01:55        0.0\n",
+       "2006-01-01 02:00:00  01/01/06 02:00        0.0\n",
+       "2006-01-01 02:05:00  01/01/06 02:05        0.0\n",
+       "2006-01-01 02:10:00  01/01/06 02:10        0.0\n",
+       "2006-01-01 02:15:00  01/01/06 02:15        0.0\n",
+       "2006-01-01 02:20:00  01/01/06 02:20        0.0\n",
+       "2006-01-01 02:25:00  01/01/06 02:25        0.0\n",
+       "2006-01-01 02:30:00  01/01/06 02:30        0.0\n",
+       "2006-01-01 02:35:00  01/01/06 02:35        0.0\n",
+       "2006-01-01 02:40:00  01/01/06 02:40        0.0\n",
+       "2006-01-01 02:45:00  01/01/06 02:45        0.0\n",
+       "2006-01-01 02:50:00  01/01/06 02:50        0.0\n",
+       "2006-01-01 02:55:00  01/01/06 02:55        0.0\n",
+       "2006-01-01 03:00:00  01/01/06 03:00        0.0\n",
+       "2006-01-01 03:05:00  01/01/06 03:05        0.0\n",
+       "2006-01-01 03:10:00  01/01/06 03:10        0.0\n",
+       "2006-01-01 03:15:00  01/01/06 03:15        0.0\n",
+       "2006-01-01 03:20:00  01/01/06 03:20        0.0\n",
+       "2006-01-01 03:25:00  01/01/06 03:25        0.0\n",
+       "2006-01-01 03:30:00  01/01/06 03:30        0.0\n",
+       "2006-01-01 03:35:00  01/01/06 03:35        0.0\n",
+       "2006-01-01 03:40:00  01/01/06 03:40        0.0\n",
+       "2006-01-01 03:45:00  01/01/06 03:45        0.0\n",
+       "2006-01-01 03:50:00  01/01/06 03:50        0.0\n",
+       "2006-01-01 03:55:00  01/01/06 03:55        0.0\n",
+       "2006-01-01 04:00:00  01/01/06 04:00        0.0\n",
+       "2006-01-01 04:05:00  01/01/06 04:05        0.0\n",
+       "2006-01-01 04:10:00  01/01/06 04:10        0.0\n",
+       "2006-01-01 04:15:00  01/01/06 04:15        0.0\n",
+       "2006-01-01 04:20:00  01/01/06 04:20        0.0\n",
+       "2006-01-01 04:25:00  01/01/06 04:25        0.0\n",
+       "2006-01-01 04:30:00  01/01/06 04:30        0.0\n",
+       "2006-01-01 04:35:00  01/01/06 04:35        0.0\n",
+       "2006-01-01 04:40:00  01/01/06 04:40        0.0\n",
+       "2006-01-01 04:45:00  01/01/06 04:45        0.0\n",
+       "2006-01-01 04:50:00  01/01/06 04:50        0.0\n",
+       "2006-01-01 04:55:00  01/01/06 04:55        0.0\n",
+       "2006-01-01 05:00:00  01/01/06 05:00        0.0\n",
+       "2006-01-01 05:05:00  01/01/06 05:05        0.0\n",
+       "2006-01-01 05:10:00  01/01/06 05:10        0.0\n",
+       "2006-01-01 05:15:00  01/01/06 05:15        0.0\n",
+       "2006-01-01 05:20:00  01/01/06 05:20        0.0\n",
+       "2006-01-01 05:25:00  01/01/06 05:25        0.0\n",
+       "2006-01-01 05:30:00  01/01/06 05:30        0.0\n",
+       "2006-01-01 05:35:00  01/01/06 05:35        0.0\n",
+       "2006-01-01 05:40:00  01/01/06 05:40        0.0\n",
+       "2006-01-01 05:45:00  01/01/06 05:45        0.0\n",
+       "2006-01-01 05:50:00  01/01/06 05:50        0.0\n",
+       "2006-01-01 05:55:00  01/01/06 05:55        0.0\n",
+       "2006-01-01 06:00:00  01/01/06 06:00        0.0\n",
+       "2006-01-01 06:05:00  01/01/06 06:05        0.0\n",
+       "2006-01-01 06:10:00  01/01/06 06:10        0.0\n",
+       "2006-01-01 06:15:00  01/01/06 06:15        0.0\n",
+       "2006-01-01 06:20:00  01/01/06 06:20        0.0\n",
+       "2006-01-01 06:25:00  01/01/06 06:25        0.0\n",
+       "2006-01-01 06:30:00  01/01/06 06:30        0.0\n",
+       "2006-01-01 06:35:00  01/01/06 06:35        0.0\n",
+       "2006-01-01 06:40:00  01/01/06 06:40        0.0\n",
+       "2006-01-01 06:45:00  01/01/06 06:45        0.0\n",
+       "2006-01-01 06:50:00  01/01/06 06:50        0.0\n",
+       "2006-01-01 06:55:00  01/01/06 06:55        0.0\n",
+       "2006-01-01 07:00:00  01/01/06 07:00        0.0\n",
+       "2006-01-01 07:05:00  01/01/06 07:05        0.0\n",
+       "2006-01-01 07:10:00  01/01/06 07:10        0.0\n",
+       "2006-01-01 07:15:00  01/01/06 07:15        0.0\n",
+       "2006-01-01 07:20:00  01/01/06 07:20        3.6\n",
+       "2006-01-01 07:25:00  01/01/06 07:25        1.0\n",
+       "2006-01-01 07:30:00  01/01/06 07:30        3.6\n",
+       "2006-01-01 07:35:00  01/01/06 07:35       16.8\n",
+       "2006-01-01 07:40:00  01/01/06 07:40       20.9\n",
+       "2006-01-01 07:45:00  01/01/06 07:45       15.6\n",
+       "2006-01-01 07:50:00  01/01/06 07:50       22.0\n",
+       "2006-01-01 07:55:00  01/01/06 07:55       26.9\n",
+       "2006-01-01 08:00:00  01/01/06 08:00       36.9\n",
+       "2006-01-01 08:05:00  01/01/06 08:05       38.6\n",
+       "2006-01-01 08:10:00  01/01/06 08:10       23.4\n",
+       "2006-01-01 08:15:00  01/01/06 08:15       27.5\n",
+       "2006-01-01 08:20:00  01/01/06 08:20       29.5\n",
+       "2006-01-01 08:25:00  01/01/06 08:25       28.5\n",
+       "2006-01-01 08:30:00  01/01/06 08:30       27.2\n",
+       "2006-01-01 08:35:00  01/01/06 08:35       24.4\n",
+       "2006-01-01 08:40:00  01/01/06 08:40       23.9\n",
+       "2006-01-01 08:45:00  01/01/06 08:45       23.1\n",
+       "2006-01-01 08:50:00  01/01/06 08:50       22.1\n",
+       "2006-01-01 08:55:00  01/01/06 08:55       20.6\n",
+       "2006-01-01 09:00:00  01/01/06 09:00       20.4\n",
+       "2006-01-01 09:05:00  01/01/06 09:05       19.7\n",
+       "2006-01-01 09:10:00  01/01/06 09:10       18.9\n",
+       "2006-01-01 09:15:00  01/01/06 09:15       16.5\n",
+       "2006-01-01 09:20:00  01/01/06 09:20       16.3\n",
+       "2006-01-01 09:25:00  01/01/06 09:25       17.0\n",
+       "2006-01-01 09:30:00  01/01/06 09:30       16.1\n",
+       "2006-01-01 09:35:00  01/01/06 09:35       15.1\n",
+       "2006-01-01 09:40:00  01/01/06 09:40       14.3\n",
+       "2006-01-01 09:45:00  01/01/06 09:45       14.0\n",
+       "2006-01-01 09:50:00  01/01/06 09:50       13.6\n",
+       "2006-01-01 09:55:00  01/01/06 09:55       12.7\n",
+       "2006-01-01 10:00:00  01/01/06 10:00       13.5\n",
+       "2006-01-01 10:05:00  01/01/06 10:05       15.1\n",
+       "2006-01-01 10:10:00  01/01/06 10:10       15.7\n",
+       "2006-01-01 10:15:00  01/01/06 10:15       23.4\n",
+       "2006-01-01 10:20:00  01/01/06 10:20       25.0\n",
+       "2006-01-01 10:25:00  01/01/06 10:25       23.3\n",
+       "2006-01-01 10:30:00  01/01/06 10:30       17.4\n",
+       "2006-01-01 10:35:00  01/01/06 10:35       18.3\n",
+       "2006-01-01 10:40:00  01/01/06 10:40       23.0\n",
+       "2006-01-01 10:45:00  01/01/06 10:45       29.9\n",
+       "2006-01-01 10:50:00  01/01/06 10:50       30.5\n",
+       "2006-01-01 10:55:00  01/01/06 10:55       30.2\n",
+       "2006-01-01 11:00:00  01/01/06 11:00       36.6\n",
+       "2006-01-01 11:05:00  01/01/06 11:05       48.1\n",
+       "2006-01-01 11:10:00  01/01/06 11:10       54.0\n",
+       "2006-01-01 11:15:00  01/01/06 11:15       40.1\n",
+       "2006-01-01 11:20:00  01/01/06 11:20       30.4\n",
+       "2006-01-01 11:25:00  01/01/06 11:25       27.7\n",
+       "2006-01-01 11:30:00  01/01/06 11:30       25.7\n",
+       "2006-01-01 11:35:00  01/01/06 11:35       25.1\n",
+       "2006-01-01 11:40:00  01/01/06 11:40       23.9\n",
+       "2006-01-01 11:45:00  01/01/06 11:45       22.8\n",
+       "2006-01-01 11:50:00  01/01/06 11:50       22.0\n",
+       "2006-01-01 11:55:00  01/01/06 11:55       20.5\n",
+       "2006-01-01 12:00:00  01/01/06 12:00       19.5\n",
+       "2006-01-01 12:05:00  01/01/06 12:05       18.4\n",
+       "2006-01-01 12:10:00  01/01/06 12:10       17.5\n",
+       "2006-01-01 12:15:00  01/01/06 12:15       15.8\n",
+       "2006-01-01 12:20:00  01/01/06 12:20       15.9\n",
+       "2006-01-01 12:25:00  01/01/06 12:25       15.5\n",
+       "2006-01-01 12:30:00  01/01/06 12:30       13.7\n",
+       "2006-01-01 12:35:00  01/01/06 12:35       11.8\n",
+       "2006-01-01 12:40:00  01/01/06 12:40       11.6\n",
+       "2006-01-01 12:45:00  01/01/06 12:45       11.9\n",
+       "2006-01-01 12:50:00  01/01/06 12:50       11.8\n",
+       "2006-01-01 12:55:00  01/01/06 12:55       12.1\n",
+       "2006-01-01 13:00:00  01/01/06 13:00       10.9\n",
+       "2006-01-01 13:05:00  01/01/06 13:05       12.1\n",
+       "2006-01-01 13:10:00  01/01/06 13:10       14.3\n",
+       "2006-01-01 13:15:00  01/01/06 13:15       10.7\n",
+       "2006-01-01 13:20:00  01/01/06 13:20        5.4\n",
+       "2006-01-01 13:25:00  01/01/06 13:25        8.1\n",
+       "2006-01-01 13:30:00  01/01/06 13:30        9.0\n",
+       "2006-01-01 13:35:00  01/01/06 13:35       11.2\n",
+       "2006-01-01 13:40:00  01/01/06 13:40       12.0\n",
+       "2006-01-01 13:45:00  01/01/06 13:45       13.9\n",
+       "2006-01-01 13:50:00  01/01/06 13:50       16.5\n",
+       "2006-01-01 13:55:00  01/01/06 13:55       18.6\n",
+       "2006-01-01 14:00:00  01/01/06 14:00       21.1\n",
+       "2006-01-01 14:05:00  01/01/06 14:05       21.5\n",
+       "2006-01-01 14:10:00  01/01/06 14:10       22.7\n",
+       "2006-01-01 14:15:00  01/01/06 14:15       24.8\n",
+       "2006-01-01 14:20:00  01/01/06 14:20       25.2\n",
+       "2006-01-01 14:25:00  01/01/06 14:25       27.0\n",
+       "2006-01-01 14:30:00  01/01/06 14:30       28.7\n",
+       "2006-01-01 14:35:00  01/01/06 14:35       32.2\n",
+       "2006-01-01 14:40:00  01/01/06 14:40       34.5\n",
+       "2006-01-01 14:45:00  01/01/06 14:45       37.0\n",
+       "2006-01-01 14:50:00  01/01/06 14:50       40.5\n",
+       "2006-01-01 14:55:00  01/01/06 14:55       42.4\n",
+       "2006-01-01 15:00:00  01/01/06 15:00       43.8\n",
+       "2006-01-01 15:05:00  01/01/06 15:05       44.7\n",
+       "2006-01-01 15:10:00  01/01/06 15:10       45.4\n",
+       "2006-01-01 15:15:00  01/01/06 15:15       42.1\n",
+       "2006-01-01 15:20:00  01/01/06 15:20       35.4\n",
+       "2006-01-01 15:25:00  01/01/06 15:25       36.1\n",
+       "2006-01-01 15:30:00  01/01/06 15:30       27.9\n",
+       "2006-01-01 15:35:00  01/01/06 15:35        7.8\n",
+       "2006-01-01 15:40:00  01/01/06 15:40       28.6\n",
+       "2006-01-01 15:45:00  01/01/06 15:45       31.9\n",
+       "2006-01-01 15:50:00  01/01/06 15:50       27.5\n",
+       "2006-01-01 15:55:00  01/01/06 15:55       29.0\n",
+       "2006-01-01 16:00:00  01/01/06 16:00       27.0\n",
+       "2006-01-01 16:05:00  01/01/06 16:05       28.4\n",
+       "2006-01-01 16:10:00  01/01/06 16:10       35.3\n",
+       "2006-01-01 16:15:00  01/01/06 16:15       32.7\n",
+       "2006-01-01 16:20:00  01/01/06 16:20       25.4\n",
+       "2006-01-01 16:25:00  01/01/06 16:25       21.3\n",
+       "2006-01-01 16:30:00  01/01/06 16:30       17.8\n",
+       "2006-01-01 16:35:00  01/01/06 16:35        9.9"
+      ]
+     },
+     "execution_count": 34,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dff = df['Power(MW)']\n",
+    "df.head(200)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 109,
+   "id": "8d32be6d-2b5f-463a-ba10-7788dc68f114",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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DRo0apddee03777+/7rzzTv3+++964IEHSk379NNP6/rrr9eFF16oPXv2qFu3buUGqAu5+OKLVatWLQ0fPlwXXHCBqlatqr/85S+aPHmyunTpEve6AgD8LcMwytz8FQAAWPbMM8/opptu0oIFC3TIIYe4HQ4AAPAZknIAABIwd+5crVixQtdcc41OOOEEffjhh26HBAAAfIikHACABLRp00br1q1T165d9eabbyo3N9ftkAAAgA+RlAMAAAAA4JIqbgcAAAAAAEC6IikHAAAAAMAlJOUAAAAAALgk8PcpLy4u1p9//qk6deooIyPD7XAAAAAAAAFnGIZ27typZs2aqUqV2HXhgU/K//zzT7Vs2dLtMAAAAAAAaWbNmjVq0aJFzGkCn5TXqVNHkrkx6tat63I0AAAAAICg27Fjh1q2bFmSj8YS+KQ81GS9bt26JOUAAAAAgJSx0oWagd4AAAAAAHAJSTkAAAAAAC4hKQcAAAAAwCWB71MOAAAAAHYxDEOFhYUqKipyOxS4qGrVqqpWrZott90mKQcAAAAACwoKCrR27Vrt2bPH7VDgATVr1lTTpk1VvXr1pOZDUg4AAAAAlSguLtaKFStUtWpVNWvWTNWrV7ellhT+YxiGCgoKtHHjRq1YsULt27dXlSqJ9wwnKQcAAACAShQUFKi4uFgtW7ZUzZo13Q4HLsvOzlZmZqZWrVqlgoIC1ahRI+F5MdAbAAAAAFiUTI0ogsWuskCJAgAAAADAJSTlAAAAAAC4hKQcAAAAAOBJ9913n/7+97+ndJn5+flq1aqVfvjhh5Qsj6QcAAAAAAJq4MCBysjIUEZGhjIzM7X//vtryJAh2r17t9uhVWr9+vV6+umndffdd5e8Flqfa6+9ttz0gwYNUkZGhgYOHChJGjVqlOrUqaPCwsKSaXbt2qXMzEx17dq11GenTZumjIwMLVmyRFlZWRoyZIjuuOMOZ1asDJJyAAAAAAiwvn37au3atfrtt9/08MMP6/nnn9eQIUPcDkuSVFRUpOLi4qjvvfrqqzr++OPVpk2bUq+3bNlS48eP1969e0tey8vL07hx49SqVauS13r06KFdu3Zpzpw5Ja9NmzZNubm5mj17dqn7zU+ZMkXNmjVThw4dJEmXXHKJpk2bpkWLFtmxmjGRlAMAAABAAgxD2r079X+GEV+cWVlZys3NVcuWLXXxxRfrkksu0YcffijJbKp90003qUmTJqpRo4ZOPPFEzZ49u+SzRx11lJ544omS52effbaqVaumHTt2SJLWrVunjIwMLV68WJJ567jbb79dzZs3V61atXTcccdpypQpJZ8fM2aM6tevr08++UQHH3ywsrKytGrVqqhxjx8/XmeeeWa514888ki1atVKEyZMKHltwoQJatmypTp37lzyWseOHdWsWbNSy58yZYrOOusstWvXTjNnziz1eo8ePUqeN2zYUF26dNG4ceNibVpbkJQDAAAAQAL27JFq1079X0QFb0Kys7O1b98+SdLtt9+u999/X6+//rp+/PFHHXDAAerTp4+2bNkiSerevXtJUmsYhqZNm6b99ttP06dPlyRNnjxZubm56tixoyTp8ssv14wZMzR+/HjNmzdP559/vvr27aulS5dGbLc9Gj58uF555RX98ssvatKkSbkYt27dqgULFujoo4+Oug6XX365Ro8eXfL8tdde0xVXXFFuuu7du2vy5MklzydPnqzu3burW7duJa8XFBRo1qxZpZJySTr22GM1bdq02BvTBiTlAAAAAJAm/ve//2ns2LE65ZRTtHv3br3wwgt67LHHdOqpp+rggw/Wyy+/rOzsbL366quSzKR22rRpKi4u1rx581S1alVdeumlJYn6lClT1K1bN0nS8uXLNW7cOL333nvq2rWr2rVrpyFDhujEE08slUDv27dPzz//vLp06aKOHTuqVq1a5eJctWqVDMNQs2bNoq7HpZdequnTp2vlypVatWqVZsyYof79+5ebrnv37poxY4YKCwu1c+dOzZ07VyeddJK6detWsg7fffed9u7dWy4pb968uVauXBnvJo5bNceXAABAhK1bpVWrpCOOcDsSAACSU7OmtGuXO8uNxyeffKLatWursLBQ+/bt01lnnaVnnnlGy5cv1759+3TCCSeUTJuZmaljjz22pC/1SSedVJLMzpgxQ926dVOPHj308MMPSzKT8sGDB0uSfvzxRxmGUdIvOyQ/P18NGzYseV69enUddthhMWMO9RevUaNG1PcbNWqk008/Xa+//roMw9Dpp5+uRo0alZuuR48e2r17t2bPnq2tW7eqQ4cOatKkibp166ZLL71Uu3fv1pQpU9SqVSvtv//+pT6bnZ1dqt+5U0jKAQAptf/+0rZt0rRp0oknuh0NAACJy8iQolTyek6PHj30wgsvKDMzU82aNVNmZqYkae3atZKkjIyMUtMbhlHyWr169XTEEUdoypQpmjlzpk4++WR17dpVP/30k5YuXaolS5aoe/fukqTi4mJVrVpVP/zwg6pWrVpqnrVr1y75Pzs7u9wyywol2Fu3blXjxo2jTnPFFVfohhtukCQ999xzUac54IAD1KJFC02ePFlbt24tqdXPzc1V27ZtNWPGDE2ePFknn3xyuc9u2bKlwmXbiebrAICU2rbNfPz0U1fDAAAgbdSqVUsHHHCAWrduXZKQS2bCWr169ZL+4ZLZtHzOnDk66KCDSl4L9cv+9ttv1b17d9WvX18HH3ywHn74YTVp0qRk2s6dO6uoqEgbNmzQAQccUOovNzc3rpjbtWununXrauHChRVO07dvXxUUFKigoEB9+vSpcLoePXpoypQpmjJlSskFBEnq1q2bvvjiC3333Xflmq5L0oIFC0oNHOcUknIAAAAASEO1atXSddddp9tuu00TJ07UwoULdfXVV2vPnj268sorS6br3r27Jk6cqIyMDB188MElr7399tslNc+S1KFDB11yySUaMGCAJkyYoBUrVmj27Nl69NFH9dlnn8UVW5UqVdSzZ89SFwzKqlq1qhYtWqRFixaVq5mP1KNHD02fPl0//fRTqXi7deuml19+WXl5eVGT8mnTpql3795xxZ0IknIAAAAASFOPPPKIzjvvPF166aU68sgjtWzZMn3xxRfab7/9SqY56aSTJJlJbKjZebdu3VRUVFQqyZWk0aNHa8CAAbr11lvVsWNHnXnmmfr+++/VsmXLuGP7+9//rvHjx1d4H3NJqlu3rurWrRtzPj169NDevXt1wAEHKCcnp+T1bt26aefOnWrXrl25+GbNmqXt27frr3/9a9xxxyvDMOK9y52/7NixQ/Xq1dP27dsr/bIAAM4LdSG7805p+HB3YwEAwKq8vDytWLFCbdu2rXDwMdjLMAz95S9/0eDBg3XRRReldNnnn3++OnfurLvvvrvCaWKViXjyUGrKAQAAAACek5GRoZdeekmFhYUpXW5+fr4OP/xw3XLLLSlZHqOvAwAAAAA86fDDD9fhhx+e0mVmZWXp3nvvTdnyqCkHAAAAAMAlJOUAAAAAALiEpByAZxUWSnv3uh0FAABAWMDHyUYc7CoLJOUAPKtjR6lmTWn3brcjAQAA6S4zM1OStGfPHpcjgVeEykKobCSKgd4AeNZvv5mPc+ZIZW6BCQAAkFJVq1ZV/fr1tWHDBklSzZo1S+7ZjfRiGIb27NmjDRs2qH79+qpatWpS8yMpB+B5RUVuRwAAACDl5uZKUklijvRWv379kjKRDJJyAK4qKpIKCqTs7IqnKS5OXTywbuNG6bPPpPPPN7sZxIvKBQCA32RkZKhp06Zq0qSJ9u3b53Y4cFFmZmbSNeQhJOUAXHX88dLs2dLmzVKDBtGnoabcm3r2lObNk777Tnrhhfg/zzg5AAC/qlq1qm0JGcBAbwBcNXu2+fjFFxVPQ025N82bZz7+5z8VT7Njh3TDDdL06amJCQAAwG9IygF4QqzEm5pyb4vVDP2f/5See07q2jV18QAAAPgJSTkAT4iVeAchKV+0SHrjjeA32b77bunKK8PruXhxxdPSpxwAAIA+5QBcsmOHtHZt+HnQk/KDDzYfq1eXLrzQ3VjsFplcDx9uPt56a3idKxJ5gSIvTyoslGrXtj8+AAAAL6OmHIArWreWDjww/DzUfH33bnM077Fjw+8FISkP+d//3I7AftFqvPPz45tH48ZSnTrS3r32xAQAAOAXJOUAXLFtW+nnoaT8ySfNgcMuuST8XqqbfE+fbsYR9KbmdovcXqH/rTZR37XLfFy61N6YAAAAvI7m6wA8IVQbvmlTxe+lSmhQstatpXPPtXfeQUz0Q4l3vKPkhz4XLZkHAABIF9SUA7Bs716pf3/pvffsn3co8a4S5aiUqqT8iSekf/wj/HzRotQs1+9CyXi8NeWhaSI/x+3vAABAuqGmHIBlTz4pvf22+Wd3jWYoGYuWxKUqURsyxPnl2rndfv/d3F7Nm9s3z0SE1ilye0VLuCv7vNXpAQAAgoSkHIBlkaOl2y1WzapbtadeTsrz8qSWLc3/CwqkzEx75puIUEuGaEl5LNGavZOUAwCAdEPzdQCWOZkwxUrK3Rp93cujvkcOlFd20LxUS7T5etlpI//fs0c65xxp9GhrMRiGt78vAACAipCUA7DMjqR8797o8wkldm71KY8Wk5eTvMia8XhvP2a3aDXlVkRr4h76/7nnpA8/lK64wtq8+vQxb7FXUBBfDAAAAG4jKQdgWbJJ+apVUs2a5n3IK5q/W83Xoy3Dy0l55HeRl+deHJJUWGg+2lFTHvoetm6NL4ZJk6Rly6Q5c+L7HAAAgNtIygFYlmxS/uKL5uP775d/76efpJyc8DSR3ErKnWiu/9ln9swn8oLBmDH2zDNRe/eaj5X1DS+7jelTDgAAQFIOIA7JJkyxPv/GG9LGjdH7R6eixrqipPz116U337RvOcuWxTf90qXSO++U33aR8X7ySfJxJWvgQOmww8LPo33XP/wQ/bOJ1rADAAAEAaOvA7DMyaQ8FrdqyrdtM5NNSTr3XKlWreifLSoy+8I7kUh26GA+VqsmnXde+PXIeHv3tn+58Xr99cQ/WzYpX73annkBAAD4ATXlACxLt6R89+7w/9EGENuzx0zIjzxS6tLF+vodc4z0zDPxxTd9eunnkfHuv39880qlyG1StWr09yOnueMOqXVr6cknE1sGAACA35CUA7DMraTczebr0f6XzGbotWpJJ54ozZsnffed9QHX5syRbropvvhCg6lFi7fse14QeWuzkLJJ+eTJUtOmpccYCF18CPVTjzR2rHTJJeW3M0k5AADwM5qvA7As3ZLyWJ57znz87rvwa3l5Una2fTFFKrsNvD44Wii+yNYGZZPy0La7/HJr87zkEvPx6KOlW24pvyzJm9sCAAAgFmrKAVjm5+brmzfHXn68o6/XqVP+NSdvTVY2Pq8noqGYIu+hHu0e9InYuLH084rKx44d3LccAAB4H0k5gEotWybdfru0dm1in584UXrwwcST62ST8gkTpEaNSteulhWtNj5W8/XMzPLTRyagdiub0EbG61ZSXtHAd1I4vsg4e/WSBg1Kfrll1zfa+m/bJtWrJ7Vrl/zyAAAAnETzdQCVOu44acuWxD9/6qnmY8uWiX1+/vzEly1Jt91mPj79tPTUU9GniTfxj1br62StbNnlpWLwu2SE4ouM888/pRdeiH9ehYXm6POVLUsKJ+gzZ5qPv/8e//IAAABSiZpyAJVKJiGPtGZNYp97552K3/v1V+nssyu+B7Zkrdl0tCR37tyKp482kvjq1dKnn9qTMM+cKS1aFH5e9nZryTRfX7NG+uOPxGOrKKZIofjsqMWvrGY83q4HQCp88IE5mCEAAJWhphyAr516qrRypfTRRxUnYlbuHx4tsVuyJPx/2XlHS/R79TIfx4yRLrus8mVW5IsvpL59Y09TNil//32pU6fwfc0rsnev1KqV+f++fbFroJMR6uqQiuSYpBxes3q1dO655v+URQBAZagpB+BrK1dWPk2iNeWxRKspD/noI2vzmDxZ2rq1/OvREvJYA7198on0179KHTtWvsz168P/R7vtWDxiXex4/nnz0Y5WA5XVlEfr+x8rETIM6f77pQ8/TD42IJpEx98AAKQnasoBxBSEPrmRo6Ln5Uk1apSfprLk0UpNebTlxXLyyeZAZMuWVT5trCbbs2ZZW17Z+VhpQRBLrM+fc475mIqkPN6a8tDAg5VNly6Ki83xEKLtFwAAwHnUlAOIKdnaVC/YuTP8/5490aeJNymPVVMezyjsy5dbmy5WIppo4utkUl67tvnoRFJeVrT+9bE+8+efyceUqGXLzKbNkbZujT76f6qceKL5fW3b5l4MAACkM5JyADE51efYLRUlkvEm5bESUidqX8vOMzKJc2sk9ljbIBSfE7FV1jS9smmSvRiRqB07pPbtpdatw9tl2TKpQQOpWzd3YpLMlhZFRdKkSe7FAABAOiMpBxBT0JLykOJiadw4acUK83llNZXxJNpOJH121ZSnqrl2aHvWrZv8vOKJObRcLzZLj6yhD8X59tvm44wZqY8HznHrwg8AwJ9IyoE0MmaM9Nhj8X0mVjNtPyoqMpPY0aOliy+W9t/ffL2yxDbRGt/ff5dWrUrss5FiJeXxJKCp6lMeSjpPOSW5ZUiV9ymPNHp05dO4lTBFLje0fYJ60SvdefGiEADAuzgdANJAYaF5r/HLLzefn3VW5bfOCglaUt6li5SdLR1ySOnX422+Hkso+Soqklq2jC8+yRxELtZo62Wfu9WnPJZQ0mnHMuIZff3tt6W33vJ+Ul5YaD56KSmndhcAAHdQUw6kgRNPlHJyws+j3YarIl4/UbcSX2SCtnSpNG9e+dprO5PykIKC+D8jRU/UrIw4boWdNXhWasrdErmeyQ7sVlAgffVV8oMeRo7YH9o+QbvoBZPXj5sAAG8hKQc8xDCkm26SnnvO3vl+/33p524NDJao6tWT+3y09Y13GySSzCaaAAcpKbdjefE0X482zdixyS3/H/+QevWSBg5Mbj6RSbkXa8oBAIA7SMoBD5kxQ3rmGemGG8yT9rfesqc/cllu12LG64gjKn7PSoJmJSmvbD6JNF9PNHG2kqjZkez+8ENyn0/VCPTJXhApWxsd7/xCF8nefVf68MPo++TevdLrr0vr11ubJ0k5AAAI4XQA8JAdO8L/P/+8dPPNZu2a3Um0F0frjiXZpqDR1jfebRrPNsvIkObPTzzhira+yW6D9eulxx8vfeutr782uzYkKtW3hYs2759+in7v+VhJudXv8uuvpalTS792zjnl5y9Jd94p/fvf5i3PliyJPr/I5drZ5x4AAPgbSTngIZEn6F99ZT460dTcb83Xk5Xq5uurV0uHHRbf/CtbVrLJ22WXSV98YSbmIXl5yc0zFidrykPPN22SOneu/PNVyrQJsxpbz57WppOk9983H5curXiayDIXqin3Ei4QAADgDpqvAx4SmTw4mTh7ofY7laKtb7LN1//1r4qnXbzYWlypNGtW+ddCSXlxsfTgg9KkSfHN063m66Hnq1eXn7Z9+/KfsZKUf/qpdNJJ0vLl9sQYTbSacgAAAGrKAQ+JTHKcTJzTLSGItr7JXvSw2nc4EfEOZGZFtAQ6tF3eeEO6//7E5luRVPQpj/b6VVeVf6/suke+Zxjm+/36mc8HDDDHdrArxkherymHfWh1AACIBzXlgIdUlJTbnaDTfD3+mvJUsrv5en5+9M+HlhO6f328rNSUp6pveUioVjzy+y1bUx5rHhs2mI/5+bGXnUj5ibw4FCsp//hj6fTTnb3wkyp79jgzWKWfeOnYAgDwJleT8sLCQt17771q27atsrOztf/+++vBBx9UccTZjmEYGjp0qJo1a6bs7Gx1795dv/zyi4tRA86JTHIi+6Y2aSK99JJ9y/HbQG/JcuuWaImyc1kTJkg1akjbttk3z5BYSbmdF34qar4eaztZbb5e0bwru7d52XvQW/nOIvvwxxro7ayzpM8+M2/FlkpO1O62by+1aSPxs51egvC7AQCp5GpS/uijj2rUqFF69tlntWjRIo0YMUKPPfaYnnnmmZJpRowYoZEjR+rZZ5/V7NmzlZubq169emnnzp0uRg44I/KkeNmy8P+bNknXXGPfcoJeU75mjfTQQ9LGjebz3r3LTxPvNpgyxZxnKpr+23lCe955zi3H7VuiRXs9WsKelVXx5xJJ+CVrSfkbb5ijte/ebT4PPUrWmq87WVM+ZYq0//7m4H9OCl3c+OSTiqeZNEk69FDp+++djcUt6ZagXnqpdOSR0r59bkcCAP7hap/yWbNm6ayzztLpp58uSWrTpo3GjRunOXPmSDJryZ966indc889OvfccyVJr7/+unJycjR27FhdY2eWAnhAqvohBiUpryhp6dHDHLBryhTztlZHHlk++Yi3+XGor3KrVuZI5qmWaNnIyKh43ZItB15OyiObn9eoYX3eoeeVbZuySXk0oXLy1FPSPfeU/szHH0tnnmleQLIam5169DAf+/Z1bhmRIm9L9+abUoMGZhN9KXzRrGdPKd2vtxuGOYjkkUdKp50W32e3b5fq1nW/P/tbb5mP33wj9enjbiwA4Beu1pSfeOKJ+vrrr7Xk/2/q+vPPP2v69Ok67f9/iVasWKF169apd0Q1V1ZWlrp166aZM2dGnWd+fr527NhR6g+IxxtvSB995M6yY/V9tVMQkvInnpByc6O/FxpB+5tvzEcro69bVdE9qO1k50Bvbp2gp6J2MFZSXrt2+LWGDSv/XEioXNjZvWHz5vKv3X9/7IQ8kRi8LJSUz51rDqYXGlgv0q5dqY3Jiz75RLrvvvAFC6u++kqqX18aPNiJqBITpPILAE5ztab8jjvu0Pbt23XggQeqatWqKioq0r/+9S9ddNFFkqR169ZJknJyckp9LicnR6sqGDlm+PDheuCBB5wNHIG1enW4dsuNJodOJFBTp5Z/LQh9yocMsT6tHbdEC7HSfD1W7bSX+LX5emi5scYKqBbx61atzC+dHc3XK/pcNOvWSXfcYfatjocfypBVoe8gsltOuojne4x2mz8revUyH//9b+nppxObh92CVH4BwGmuJuXvvPOO3nrrLY0dO1aHHHKIfvrpJw0ePFjNmjXTZRHtQzPKnPkZhlHutZC77rpL/4gYHWfHjh1q2bKlMyuAwNm0yd3lx5uUG4bZf08y+2Oed570yCOlp3nnnfKfowYj8RPGVCTldo6+nqrE2cl5x9N8PSRWGbeSlNtZUz5uXHzzcouTrSpCSbnbTau9jkQWANKTq0n5bbfdpjvvvFMXXnihJKlTp05atWqVhg8frssuu0y5/982dd26dWratGnJ5zZs2FCu9jwkKytLWWVH9QEsMAxp4UJ3Y4j3hHXZMuntt8PPH320fFIerUk8SXnpbdCjh/VBtawM0JVs4uGXE/NU3RItkT7lZcv4pk1So0blP1d2Hlabr1dUe28nv5QDKyL7lId8/7057kPQxfM9Buk7D9K6AIDTXO1TvmfPHlUpkzFUrVq15JZobdu2VW5uriZNmlTyfkFBgaZOnaouXbqkNFYE21VXmbfuCdU6uyXeE3sro9tGm2dQk/JRo6R586xNG7kNpkyRFi2y9jkrSXmyI7TbeTLrZE15qm6JVpFYSXnkdzBypNS4sfTYY5XPI9GLCX5LylM1fkUsf/mLdOedbkfhLUFKZIP6OwMATnD1Z/mMM87Qv/71L3366adauXKlPvjgA40cOVLnnHOOJLPZ+uDBgzVs2DB98MEHWrBggQYOHKiaNWvq4osvdjN0BMyrr4YHB3OTEyfK6VRTft110uGHW5s20W1gJSl3Qtmkz84a6ESvcXp59PXI7/fjj83H228v/7lER6aPTP63bQvffs9Ofule4MXl/fqr2bc6chR+twQp0Y5Huq43ACTC1ebrzzzzjO677z4NGjRIGzZsULNmzXTNNdfon//8Z8k0t99+u/bu3atBgwZp69atOu644/Tll1+qTp06LkaOdGAYqe//mEif8kTmGYSB3pKVaFLut+0Rq0yNGSPt2GHenioRsbaF00n5V19FH73cSp/wWEl5aHtZjf8vf5H+/y6evmLnuAXxSNUx9aCDzMddu8zb0aVaouvpt+NLEMyeLf3xh3T22W5HAiCduZqU16lTR0899ZSeeuqpCqfJyMjQ0KFDNXTo0JTFBUjuJOWV2bWr9K2erEinmvKK2HlLtFSws9zFmte+fdEHArSDk0n5d9+Zo0zHmjbR7zfWyO7RluNkQm7HNty9W6pVK/n5JMswzG2a6mPq9987O/9Fi8xbkUUMe1MOfcq97dhjzcf586VDD3U3FgDpywO9ygBvcuOEorLm69u2VT6PnTtLPw9Cn3InTuS9tA0SbfHgZU7uP//7X+XLTbam3Avlo7Jt+OefUkFBxZ95/33zIl7ZwR/d8PHHUr16Zkyp5OR+88cf0sEHS82aObcMP/PCPhSPJUvcjgBAOiMpByrwwQfSJZeYtdOpUtkJpJV7I9etKx1wgLR5s/k8WqI/enRi8bnFiQTPSyeMe/c6N28nkxK3R1+Pxsro6XY0X0/FRbtYy1iwQGreXOrcOfzaE09ITZqY/aklaeBA8/GuuxwL0bLPPzePpWPHxve5PXvMsQBmzUpsuU4OaLd4cfh/q+Utnfhtvd0aLwQAJJJyoELnn2+eQI4YkbplVnYCaSUpl8xB60aOrHie8dyGyG8nVlYl27zZTlu3ln7erl3ly7X6vbhVw27nRY8lS6SHHrI2rRdqym+7TRo8OPHPh8T6jkPdDiJv4zhkiHnrNzuW7RUPP2yOmh9tMMJZs6S2bcMD+UXjZPmP7BZg5U4YVgT1eOsHJOUA3ORqn3LAD9atS92yKjuBjCdR2LLFfIyWlCc6sFeQeHmgt7POKp1sJcOtpNzO7dSjR/zLdTopj7V+jz8e+7N2cKLLgxe7SES7VeFVV5ktgb76yqx9P+usireHF9apuNj6GCVBSsr9ti4k5QDcRFIO+EhkwjF7duxpQzU30U4EL7zQ3ricluyJtdcHeqsoMbSDW83X3WJXUu4FfktqnBBtG7z6qvXPu/V9Ri73mGPMgeC+/NJb5ctp0fbBceOkn34yxznw2rYoKnI7AgDpjObrCIQvv5ROOCF6rUqyUnniYLX5+ssvm7di6tmz4mlDV/2d7FPpdbG+u0THCvDCSb5XeDFpjLx/eDzTJ7ocJ8Vz4ciOFj1eLGPJcvL4Z/WWgL/8YtbqT55sNsVP1a0Evejii80uYZ9/7nYk5dnVBQEAEpHGp+sIkj59pJkzzX7gkfLzpcMPl668MvF5p/JEtbJlvfqquZ6vvGI+j5VYhpLyaPP028l30E9UneS37zpZydaUe+kiVjzlfuXK8P9Buke21XE07r5bWrq0/OupKv9Wtt0pp5iD1n34YXLz8YtY67JhQ+risCpI2x6A/3jo9ANI3qZNpZ9/9pk0b5702mvuxBOvyk4ghw0zWwRYuTdyrJpyO++bu3u39PPP6XVCk5dn7/ysJh7xTuMmt+JLdtv5ZfT1ZPuU16sXfzxeNny4dOSR5V+PtQ0+/FD661+t3WoyXrGW+9tv9i8vlp07pWefNW/hlkp+axFgJaZt26RLL5W++MLxcDxr2TLpkEOk1193OxIgWEjKgUp4qaY8Hqlqvn788dIRR0j//a9zy/BSbe/UqVJ2duqXm+g2cLJJphcHrop3rAAvJgeJiFyPiRPNWtkdO6JPW1xstiAqy0v7WUVifV/RWg7FWqdzzjHvm37TTcnHFQ8rtxK00003STfeGH0E+5Aff5QOO8zeZuV+u02clZjuu0966y2pb1/n4/Gqv//dHIg0dMtFAPYgKUeglD3ZsSMhJSmPbf5883HcOGeX4xVOjFsQOhksLAyPKG2XdOsnGW9NeaLN11NdU24YZnccq775JvrrDz5o3n0h8h7bIcuXS5dcYrYuCgor3+ebbzofR6RUX/z49FPzcfXqiqc54wzzWH7aaamJyen9Z8MGaf36+D5jJaY1axKLJ0gqutgHIDmMvo5Aizz52bhRatzYvViscCIpT9UJoJO1x4mewFltiuwVDz8sPfCAvfP0y7rbJbS+sdY7sgbPL6Ov9+1rJtrr1kkNGyY+z/vvNx+3by//3j/+YT7+5z/xXQCwS7RtH2/Xji+/lN57L/Y87eLEvuXW/hqtPFhV0e3eItdl2jSpVavElxGP/HwpJ8f8f+9es/m+ld9+K9u+GmfN3DoOcAg15QiUsicGkc9vuMGeeTrJz0l5VlZqlhNkTz1V8XteShat8HKfcivTe61P+Zdfmvt0tEHCzj9fevFF+5ZbUGDfvFKtT5/wQJiStwZ6C0l18/WNGyufJtHtNH26ebu3yAshITt3Su+8Yw5OetJJUps24fecWM8XXjAvXkW2ZjrqKKlJE2nBgso/byWmqlXD/0e7kPHpp+ZFLbvMmGHeUm/WrMTnMWSI+WcXknLAGVzzQ6BFNl2MNjKvFX5LhkLsSsqtnjx5adRqvwlt43gGkEu3GnCrkm2+LklXXy1t3WpfTImKFlu0/dnOJMBrEhkEMZIXj99BiunUU83uNn/7m/TSS9Kxx4bfu/baij8X7Xt8803zLgLXX2/2cT/55Ph+VwYNMh+bNw+/tnCh+fjWW+a90WOJ1qWjrMik/OefzYsNIYWFUr9+5v8bNtjTMu/EE83HE06If7wMSdq8WXriCfP/u+82u64kK1X3cy8sNNe5evXULA9wG0k5AiVWTbkfkkY7E63QD2e0ZuV+S+iCdIunWLx4su43Vr7zWM3XFy+2dnLuVtnyW5cMt7l13PfbvmzHQJJ//3tyMQwYYD7+85/m4yuvJHY702g12FaanT/7rPTMM7GniUzKy5atyGR12zZ7u8slur9H1mqnKpm2g2FIBx4obdlidtkhMUc68EGaAiQu8kcz9P/mzeYPr5UmfZL/Tq5CQidLjRq5G4eb/JK4hOKMlUD4tRym+juw0qe8sppyr7BaU55O4r0doRf7lHvxO0x1TFa23fjxic07Wo3ysmWJzausaOcUqXLnndInn8SeZuFC80LGypXOxZGK9TYMc+DJrVvNRyAdUFOOQIv88QiddFxyiXmP0bFjrfXT8uIJlBWhK+ReTjqsMoyKBxMKEj+05oiU6r6xViTSxDMRbt+nPIis7N/vvmv/PFPNzph27jQHUUuWF1sjJTrYYLRjgF3jJESub2SteSo8+qj5F2ubH3ec2Z1g9mzzLgpOlP9UJeVAuiEpR6BF/iCF/v/iC/Pxu+9SH08q2ZWUW/280zVSJ50k1aljDqQT77K8/gNvpaYc1tg10JsXxKopt3NgNy8ruw3iTa5StU8tXGiOW3LBBc5fCMjLM++x3qePWXP69dfJz7OyC2xLlkjt2oWbgX/6qXkLtUT3HyufszMpP/TQxOZVVmTcs2ebTcJD93+381iyYoX022/xfy50O83QrUqdOL7ZecvOinj5uOwn99wj/fCDeZzgzgHex1eEQHGiT7kXa1qsCFJN+cqV5sA5knmiVqOGq+E4JlZZK/teEL5XJ6QqKXdi+0+aJH37bfh5tOQiVA62bLF/+UGUquP30Uebj19/bS7z8ssTi8lKuXr1VWniRPMvUd9/bw4A9thjUuvWsWN69VVz8MPzzw+3VAgNaOakyP7q8Yg2OrgTSfmNN5qPO3aYF4ztPCbsv79987Kbk03jQ/zSxcjrhg0zHz//XDrjDHdjQeVIyhFo0fp/VakSXxPXVCbldv74pDopT1XfTb9eJLEiiH3KU83PNeW9e1c+TbqUgzVrzNqd3btLv+710ddDt2PbvLniaZKNaceO5D4vSX/5i/n4++/mLctixRQatTzabc8S5eT3EutilhPz3rbN/qTcL5zqVpaO29JJibY6QWqRlMP3YiVs0X4sqlePf7AgPwqNtBrtx83PP3h+jr0iQWy+7vZ9yp0e6M2tPuXpkpQfc4y0fn3y83FroLfIe2WXlWxNuZ3jJoQG0YoVk1vHJTv3TbvWIdq2D73mxd+myO/VifiKi53pW+/FbelnbE9/CNApINLVTz+F/y97YhHthzjeW2v49SQ4WhO+VJg717xX7eTJ7izfz/xa1rzEzzXlZXk5NqdFS8i3bJH27IlvPl5MKJPdzytLynfvtrdFgRPHJSvdcRIt/9G2j13lIFpMoQsw6bi/OnWbtXTclk5ie/oDNeXwvVgnKBXVlMfDr4lSqD9eqgd669PHvN3cySc780Pg1+8jltB2SvWJcSqk+mRg2zZzhOI//oj+/urVse9TbhU15anXsGH8nwni9qosKa9d2xwIbsIE6/N0+9gTbZ0S3ceiJYp2rUO0mE49NXyHkJD77jObtL/0knfKYKJ99GNx6m4XJJFIRyTl8L3MzPD/ZWuHo10dz8qKb/5+bVIcq/m6k6ze/z1RiayP13/g9+41+3bGU9a8sE5eOdmMNG6c+VeR1q1TF0uy0i0p9+vtm+LldE25JH3wQXzzdLv5up1JeTI15QMGSHfcIR1ySPT3K4pp0CDpyCPDz995x3y86SapUydry3bamDHmaNx2SkVN+fz50sEHO7OcdOGF8wVUzoM/V0B8YiXldtSUp/Kkzs4DZ6qT8iAnC07r1Elq2TJ2H9o9e8zRkpcuTV1cyfDLSYCXa8qRPLeOS242X09EqmvKy24fO5PyZPbNN9+UTjih4vcr2hYvvGCOUF+Wl8av2brVnvmcdVb4/1TUlF94oTPLSCf8XvkDSTl8LzIpL9s8KzKhnjFDOvvs8qP5VsavyWasK9hOHqCd3l7Ll0uvvebsMrzopZekIUOkjh1Tu1zDkEaOlL74IrXLTRUvn6x4ObZYCgrMezffdJPbkbg30JuT7FxuaPukuqbcMEr/XjtxQbrs8qzavr3i96zcISHR5SZi9Wpzf7Oy/Hj2hd27zVu+Rd6iMSSyFYFTNeVOJfvpyq+/JemGpBy+Vy2iE0ZlNeUffRS+37Vk7cpx5AnJ11+bP4J+YNePpdcGzjr0UOnKK51dhpel+sd1yhTp1lulvn1Tu9xU8XJNuV+br0+cKM2aJT3zTHyfS3UNsJOs1pQ//bR03XXW7hrgpFTXlL/2mtlq7cMPzedON1+3a7vG29Iumttuk/7xj+TnM3262R3nxBMrnuY//wn/H8/3+PDD0rPPSt26lX8vcrR1+pT7A9vTH+hTjpT75RczGY71QxJSWCh99pl5T9UmTaJPE5k0l01EK/sRslIDEJpmyhSpZ0/zfz8c4NwafR3B4peLUIny8r7s16TcSxc6vJ6UDx5sPubmSs2alZ5u716pRg1rdxVJVqpryv/3P/PxnHPMbeWV5ut2z/vDD827kYRs3y49/rj5/513lj+v+e0385zHildfNR9nz654mkTvLR+rm1Sscy67ePm4DDiFpBwpd+ih5uOqVVKrVrGnffZZ6ZZbzJOVikZTjlT2B6Kykwkr99cMzeOrryqf1kuc+rGsSGQzSH5QnZeqbZzsibHXy4IXT/xjLcMPSXk1ziziNnSo+divX/i1mjWlCy6Qxo83n2/eLH3zjTOjaHtxoLdEJdt83U6PPCINGxZ+HhlbtO/xgAMqj7WoyGxWHtkVb/p0syVfWYmud6zv3Ol7nzs533TF9vQHfjrhmuXLK0/KQ03b/vzT2jzjTcqtHKhCP0Dx3h83EU73q0tX/CChIpQN+6VLUp5o2YmVAK9YUfr5O++Ek/IePcyRqJ0QpFuiOdl8PVmVJbRW4hwxQrr77tKvde2aXFxluXnXgk2bpJ9+cm/5QeSV8o/Y0uSnE15k5cq4lZOByINNUZH0wAPSDTeY97St7PNWDlShH6dYg6nAHzV4QFnUlJeXyP3AI0UOvpmuEh19Pdbn7EjIe/eOfnupICXlCxcmF0ssyY6xYkct88svJ/a5eFj9zp04DjZtSvc7u5GU+wMDvcE1diXlZQ0dKjVqZO3z8STlfpXo1fhEpvWiO+6QFi92Owr/cvLWTogt2jEyFdu8Vq3kPu/3Y2aQTZpkDi5XVpCar+/dW/41t3/HiovNGu5Zs6K///PP0pw59i/XidYc8fryS+nf/7Y+PQk50hU15XCNlebVyZ4MpHNS7vZJiJ2SOUEYMcK+OGCdX8ofNeXB5sXblnnpO7RySzS/1ZRH4/bxaNw48wJxNIWF0hFHOLNcJ/qUR87Tyvz79DEfDzww/lvKwR5ul39Y49N0A34VmYg7VVMez+fj6VMeJE6uUxC3F4KLk5Xy2CbJi7UNY73nZNPrWNy++BxtmwTpXtXRWmuF1jnegftSMV6ME+Xh55/tnyes4ZjuDyTlkJSa5kK33CLtt1/4uV0JcTIHG6/VlHt9RO1YSMZTy89lxUuoKYdkDjwaOZq1FUHaN9wuV36pKY93PqHzh2jbNzSvLVvim6cTo++X5USf8o8+SiwWJC9Ix6ogIymHbrtNys6Wfv3V2eU89ZS0c2f4uZWrvU6fKHgtKQeCxusnA16Oj6Q8dQ44QGrXzr75eblcRZPo4HN2cbpW3K3v46qrzMdo5xGhmC69NL55btxofVo7Ljra9d3MmGHPfBA/vx2P0hXpBvT442ZNeeg+qali5UAf+UOWyEGlss+ka/P1eFjd7k5uJ35Q/GfRImnUKO8P2kNNebDF8z2tX+/Oct1kpU95KvilpjxeodaBsWrKJ0+Ob56pOKZGJv5bt5Z+L3JbTpwoXXtt9MH1osnLM+9kM2iQ9N//Jh+n24qLpTfekJYudTsSBAEDvaGEk1eqf/stseVF/pBNmWLep9VO6VBT7peTw1jcPmFMZ4mWnxkz/FEz4uX9w8uxxeLXuFNl0ya3IwgLfVduH2O9fG/xSHYOnObF9QuJbMmYn1/xdFdcYT42by7dd1/l883ODv//wgve3gZWvPmmNHCg+b+X18XLsSHM5+kG7ORkUv7dd+Vfi7eWes0a++KJJwY7k/I//pBWr7ZvfoCb3D6Rd5NbJznpvM29JtHB3O680/5YkuV2uQpq8/UQt7dvvCJrvvPyKp9+1SrnYvGSOXOkjz8OP585071Y4uF2+Yc1JOUo4eSIntWitMmIt095tHlIqRvoLdmDWlGR1KKF1Lq1tGtX4vFYFaSkgR+U8tgm9vDydvTi7bys8FsC4gS/jBxO8/XUiNV8PdXLtcJqc/SQVIwInyobN0qXXx494T7mGOmss8zuWVLF56Ve43b5hzUk5T61dat04onS88/bN08nTyKiHbjiraWuWtW+eOKJwa6TlcgRU93ufxS53nPnSps3W5s2FrdP6pB6Qfih91uf8o0bpeeec37ZyfBLueCYFeZ2Ny2/NF9PVLTtG1pnJ7d9ovPef//4pi8oSGw5Vr33XmpGnZek66+XxoyRTjih4mmWLzcfnTgvdUKQ9qUgIyn3qUceMftrXn+9ffO0utNOnhz9npuxJJqUW6kpj8WOgd5i3dIkHpGfj9VHyy5W4p01SzrySLM/mJd5fbAw+JeXT1aixfb3v0s33JD6WIKIwSnDgn6BYsUKM7FLtvIh0e812vb1clJ+5pnh/8uus533lP/lF2vT/e1vUr16iS0jXlbOb0Pr62ZSvmWL8xdDkFok5T5VUfPnZFg5qC5YIJ18snTggfHN246k3K2DXyiGyHivv14aOzbxeaaiqZeV7Ttxovlox0UCJ0/qyo7+itSJVY6CcCLvt5ryVPBbQhkL29CaIOzLsdxzj5nYjRvnzvKjJce//iqNH+/stk/0DjbxxpRoUv7MM9anjbdJfaKsbKfQNG6dl/75p9SwodShg7Xp/XY8Slck5ShhJVGcNy+xeUdLyuMdfb2ig5/Tfcqjef556ZJLEl9WqvobPvyw9MADqVkW4EeJHgPOOEN67TV7YymLEylnJZsMBeH7sdKnPAjrGfLtt+4sN9r2Pfts6aKLnG2WnaqKjUTLSKqT2tGjpa+/jj2NlfMzt5PyL780H60OsBekfTjISMp9yokrq1YORIkegBId5MQLfcqduGVMRRdA7Dxw5uebtyhZu7biaSpqhjZ8uPTNN/bFAvvxI2uPRLfjqlXSlVfaG0tZfv2O/Rq3nf74w+0IrAl9V273KfdLmYk3zowM85awbg38F/m9duuW2DysrHOi6xfved0FF4QT0nj99JN5C7eePWNPF895oZMDvRmG2VXp6afLvxfv/uqX/Svd+WTcQKSClZ021Ul5ssu2o095ItNWxssjlb7/vnT33eb/hsHBHBULQpNXL5dvml47Kwjl1y6xtgXbKXETJphjALkl0ZryeI8Bdt6/PZZ33zX/Elme1dvqWrnAsHOndPTR0g8/xB+HVbNmhQf1vPnm0u+5fRENzuBrRQkriWLkgWDJEuvzTjQpjzw4OnEQSuXJpxvN1ysSa71/+y2xeXLiFkzpkqB5UWjb8x0kLt5t97//OROHV1k5bgfp9pqpFs95khNSdd5kV025F451VmJ4+GFnE3Ip9thR8e4bXtiuqBxJeQDMnCm1bSt9/HFy84mVlK9bJ915pzmCaci111qft5+T8lQ2X3fThx9KI0cmP58gnEjBmiD80Ht5HbwcWxBEO1Ydd5x07LHpN6qx1eP2ZZdJr7xi77LvvFN6663yrztR/q3Os6jIHN3a73r0CP/v5KCWdvQp37XLG+dGVtYlFbe1tbP1Cr8l/kDzdZ+K3CF795Z275bOOiu5HS/Wlc5LL5W++qr0a3l51ucd63YgsUSuT+jgnZ8vrVwpdexYfpp40Xw97JxzzMfzznM3DiCV/HCy4ocYvSqRE9vZs6UvvjAH84slHb+XN94w/+z06KP2zs8OPXpI06aZt+w6+ODw6377zqtXT81ykq0pX7nSrFxq3Ni2kMqxmsi63ZIxhKQ8/VBTHgC7d9szn1iJ4qxZ5V+L56AQrZY70Zryrl3NW7K9+KL15VfErQNVRQd9Lxw4160r/dxqTKm6XQlMVsZLsOPYwC3R3OPl2Pwi0fJbWGh/LKm2Zo300ENuR+FP06aZj6+/7m4cdnKyEiLZmvLQdt64MbH52CnRpNzuUfRjHZ8Y6C2YSMpRIlZSnp1d/jWrJ+S//SatX1/+9UST8tmzzUcrzeftHOiN2+fE9uyzbkeASOecI9Wu7cy8P/9cOvFEadkyZ+afSl7eL+lT7p4gbPP27aV//tPtKBLnxEW/IFxITLWy+4ITfcq9tL8lGstPP9kahq1JuZcZhvT449KUKW5H4j6ar6NErKQ8K6v8a1YOCps3S+3aRX/Pb33K7fzRcPvEwEs/gHDGRx85N+/TTnNu3qnm5X3BL6OvDx1q1nCFRgr28ja1KgjrkJ9vz3z8Ug6dUPa32gsxJcqLsYfO6+yMbelSsyKpRYvEPp9oLHbtbyHRzhOnTJEuvlg65ZT45uXF7z7ko4+k224z//dynKlAUu5TTiR1sZLyRJe3aFHF7yXapzzWNPFK55MNp7h9wQH2CnJZlby9fn6pKX/gAfPxxhvNrkVBYKU7jte/F79budL+efKdOcOOgd7ssGWL1KGD+X+iMXmxT/kXX5jjOj3+uPk82sCIsXi53C9f7nYE3hGgBhDpxYkdLNaBKNFEK1ai7+SInk6Itg3iuX2O19clJNk4vbSeQGWee0669163owiG/HzzDh1eGsgy0T7ld91lfyxeZOW3nQut/hVZ/hPtU+7kb7rdSXmit3SNlGhS/te/SiecYF9SH7nf9e0bTsgTwXmZP1BTjhLx1pRb+aEOUlIeLZY1a8zb5zi5DCfEqoELUnO9ION7scfbb7sdQcX81pLn/ffNgcWCkMT9/nv4/9CgiU6N0eAFTl6oRfAlmlzb3ac8shwbRunnVo9Licayfr359/PPUufOic0jUhCOo1aky3paQU25T6W6+XqiB6lk55nsFUc7BnqLNQ0nK+VxgAXs4Zfm6yEPP2w+ejHe1avNwQnffz/+z555plSnTmruTewlq1dL48d7q+WDHfbssT5tkC5S2xV7tPlEG3fIilBSHhrtPlmRYw85eV/2WJyoKY/FSnn2c7lNJyTlKBGr/3eiP8p2JuVuH1SiHSDdus+5k/wSJxB0XunbaJWXjx3XXSfNmGE2MY3XJ5+Yj6+8Ym9MXtemjXTRRfaPKu2ml1+WatWS3nzT7UiCJZmkfPNm+0bejkzKEz3/dLoyyCqrSfmDD1Y+jZePzQgjKfcpO2ojV66U7r/f2rRWmjlHE+ugaOXAF+9gcE6y8zYggF/wY+4et2rKg/idb9mS/Dys3BoqSIK8fgMGuB2B85Ipr/H2KU+0G99jj0mNGiX22Wgiz0tjnZ/dc4/UsaO0dWv597wyro7V8/xZs6SdO2NP4+V9mdaVYfQp95niYum886QPP0x+Xl27lu43F4tbzddTNdhIorwYU7I4QALekJcndeokjRrldiTBxLEOlfFz8/Vmzcw+zqmQaJ/yP/+0Z/kFBdKTT5rrHBLr/HP4cPPx3/8uXznlt5ryb7+V6tY1z+ebN3c2JidwHA6jptxnZs2yJyGXrCfkUuIHKbcHerOzT3myzdet8MKBM91qg/yK7yU9LFgg9emT/Hz+/NM8cU03du4nHBtTb9gwaejQ0q8VFroSiu+sW5c+ZfTZZ6U77yzdAuKNNyr/XF5e+dc2bgz/f/bZsbt2RpPqpDwkkfEy4C0k5T4T7QCSCk40X0/FQG92ihavX/uUO9kslqueweKlcpuudu9Ofh7Nm0tHHJH8fBAsXj9e33OP9MAD4Rrfzz+XatSQRo92Ny4/sqv5erLnQk6YN6/8a6Ha8JBoZX3fvtjz/egjqVev+GKpbFtMmCD9+mvl86kSZ4YW63zZ7e/HKr/E6RSScg8zDOndd6WFC0u/5ga3asojm0Q984z04ouJzccpXrpo4LY2bczHdKyNA/wg3hofK9LpJOrxx6VXXw0/93pCa0XoN9rr6xL6XTnzTDPmK65wNx54S2Zm+deslOnKknJJ+uOP+GKJdUycNMnsgnrQQZXPJ9590ok7KKXauHFuR+AuknIP++IL6YILpEMOCb/mVhLoRFJuZZ7nnRf+f9w46dprE4ujIl5ovu7nxD5y/bt0cS8OAMGxaZPbEVTsqqvC//vlRDeWtWvdjsAaJ1p39ekjvfde7Gn83Ke8LCdjd3u7REvKrbCSlEvS5MnSzTdbmzbWtpgzx9o8pPiT8ljnkjNnxjevVIpcz8r2x6AjKfewH34o/1pkX5dUcuKAa2Weid5mwwlONF+/7z4pN9e8H6xXxNNv0u0fYgD2c3u/fvll++fp9ZpgpN6XX0p/+5vbUXhfKsb/SVa1KMNWW9nnrVaKnHyyOSicFZHbori4dPcjty6M2DUWldPS/ThNUu5h0fqT9O+f2Lz27DFHWx82LLHPJ3qf8lg7mBcGektWsvN/+GHzQkvoPpNu/7BJ5mCCVnkh3nTlxrZ/5BFp+vTULxfe5ZdjgF/iRGx8j4mzawwcv3wHZc8/UzFYb9l59ugh1a6dWIsUO/uU+wVJOTzLzsI5Zox5Mn3PPYl9Plo/YSvxJZuUe0m0dQnCQTCW9u3NsoP0Fbmf3nWXeXEPcEpxsbR3r33z8+rvjB2D9wFe4fZ+ZmUw4mhJrhPncJGxfPut+fif/8Q/Hzv7lHtZ5HqSlMOzEimcFd0qJNmTnEQH74q1DnYdDJP5MYintt7OEUe98AO2aFHlB/Fly6RHH409HwTLm29KS5e6HQXctHOndMYZ0uuvp37ZPXpIDz1k/3yj/RYlewKYzPGvdm1n1jOo3PqtoU+5P9bZSlKeqpry9eul8eNLnzcncqyxs0+5F+zaVfk5J0k5PCuRwpmdLc2YUf51t5qBB6mmPJpNm8wkxkqth5fWd/Ro6eCDzebIyfDSOsEeAwZIHTq4HQXctHev9Mkn0sCBlU9r9zEgVLPkB7/8ktzn//lPe+IA3Ob2uYCV5UerKXci7vPPly66yGxZFpKKZNPt7yCWLVukOnWkzp3Lv5fuiXgkknIPS7Sm/PLL7Y+lb9/yr6Wi+bqXDjLR1uWOO8wkxuqonBXx0nrGw69xA0gvThyrbrnF/nlGM2mSeRHVSX45MU71b06QfuPs6lPuRYnWlDt5C66RI8P/b9pkjh8Uz3a1s0+524MmT5pkPs6fH3u6//xHOvvsilv9Bh1JuYcl+iPpxMH0qKPsn2cqDvqVLcOuH6l33rE+n0SX4UWR8frlpC4I/vEP6Y03UrMsv5VJIFIQym/v3s7cYz5SELZTKqTjdrJyRxYvXiyxkpTbOX5FLEOHSk2axNcV1M4+5SedFN+87Fa9uvVpP/rI/EtHUW4iAK9INMmJdrXMiz8kXowpGrtq9IMwmmmkn36S2rVzO4r09OSTbkcAmPxy7OKiob85cZ/ydBOk+5QXF0tVq8ZevpWkPNW2brU+rZ19yt3ubx7rPvLR1jNdB8IkKfcwO5NyL/LCQG9IXOfO0mmnhZ/zPQDwEy+cpHtF5LYYOdIcnwbwKisD8Hlx/963z/q08ca/YUPF77k9MnuspDxaAu52vG4hKfeob76J737RkfxycPJCn3ISyeR89pnbEcBp7CNAern1Vrcj8I4gHf8S7a7nhXO1ypbnl/PeUaOsTxtv/K+8Ir38cvT33K6si0zKi4tL95ePtp4rVjgfkxfRp9yDNm+WTjklsfsaSs7090n0gBdruW4fJKxKxQ9SkH74AaSPdDx2FRZK777rdhTIy3N+GUG6JZpdvLgNosV08smpj8NOdl5UcPt8O7KrgZVYIm8XuWGDNGWKN8ud3UjKPWjTpvKvxbND+aXZRyri9NJO7MWrzXbyc+wAYNVTT0kXXOB2FMjOlt5+29ll8LtmjRdrynNyKp/Gy/wWbyyRNePxXiBo00bq0cO8TWfQkZT7RDwjLf/xh3Nx2CmevjWxBOnABXgN+xf8zInyG8STQy829bWif3+3I/CPRPcFP/wGeGFEeFQs8vgyeXJ8nw2NkD9xon3xeBVJuQdFO5B8+aX980xWsj/idiXlybBru3DwB5CO/Hzs89JtR90WxHVyQrpsp3jX0+2acsTm9vaKrCm/7bbS71mtOY/3vu1+lAarGAxuX8V2YocuLHRnufFKReLuhfVMVhDWAUD6sHLM2rYtsc/BXmzz5AXplmhWlu92TJUpKvJ+jHaJlVBb3QZu50GpQFLuE0EsjJFJ+Z9/OjNoi18OeH6JE+mHsol0tnSp2xGkRhDPMeAML/4meDGmylSrZiarFZ37+nGdKhKZlAdpvexGUu4T778v/etfbkdRml2jry9ZIjVvLh14oD1xxcNrzdc5WAHwE78cs6L9XiX6GzZtWvLxAH7hxUFqrQz05pdj0+efux2B82Ida61+TzRfT4E//vhD/fv3V8OGDVWzZk0dccQR+uGHH0reNwxDQ4cOVbNmzZSdna3u3bvrl19+cTFid+TlSffe63YUpdWtW/k0le1s06ZJd99t/r9qVWJx+OXAG8mPMVcmiOsEIBjiPT6FbqfEcQ2R0qU8+G09rSTl0abp3NmZeOKRFskmzdctcbUobN26VSeccIIyMzP1+eefa+HChXriiSdUv379kmlGjBihkSNH6tlnn9Xs2bOVm5urXr16aefOne4Fnoai7TTHHZfcPLdvl046yWwFEM9yU40+5dYEYR0ApI9YJ3kdOqQuDlSO35fkBalPednluX0f7mRE3sPbKW7vPyTl1lRzc+GPPvqoWrZsqdGjR5e81qZNm5L/DcPQU089pXvuuUfnnnuuJOn1119XTk6Oxo4dq2uuuSbVIaeEEzuPE/cEz8ysfJpY67Jli32xAABSz+2TvcqE4ot2Quf12FMpHU54kRg/7CfRknI/xC2lR0155PHFSguGyuYRVK4WhY8//lhHH320zj//fDVp0kSdO3fWyy+/XPL+ihUrtG7dOvXu3bvktaysLHXr1k0zZ86MOs/8/Hzt2LGj1B/CTcTtlOwBLxUHzMqWQV9wIDbKNsrywu0sUyVdyn+6rGe8Ek0g/C5yPfPywveKLvterNdSyc/3YK+optwLsUV66SXp2msTa5Vgx7qQlDvst99+0wsvvKD27dvriy++0LXXXqubbrpJb7zxhiRp3bp1kqScnJxSn8vJySl5r6zhw4erXr16JX8tW7Z0diUQUyqabDt94EplnF47CMfDz7EDsGbhQikrS7r1VrcjiU/k8SlW7TkQVIn+Rh9/vFS7tlRQYP+8E2Wl+bpfzrlS0XzdDtdcI734onT11dInnyQ+H2rKK+ZqUl5cXKwjjzxSw4YNU+fOnXXNNdfo6quv1gsvvFBquowy34RhGOVeC7nrrru0ffv2kr81a9Y4Fr9TvHCQKMuJmLy4nm5hWwDwg/vvN49XI0e6HUnivv7a7Qi8x+snvG79Rnp9u6RKcbH0++9uR1GxaEl5UVHpAYS9WMMv+ScpD3ntNemMM+zrFktSHuZqUt60aVMdfPDBpV476KCDtHr1aklSbm6uJJWrFd+wYUO52vOQrKws1a1bt9QfnJGKq5BBqgVPRRwA4ITly6VPPy3/utePXdFqxf/8s/LPhZroe3394Cy+/7DiYmnz5ujvebGm/JFHpDZtpPfeS0lICfNbUh5CUm4/V5PyE044QYsXLy712pIlS9S6dWtJUtu2bZWbm6tJkyaVvF9QUKCpU6eqS5cuKY0VSBY/7kiFX36R7GwgRLmFJB1wgNSvXzBqma30iXz1VfOR8p/e5s2Tfv01/DxdykO09bz3XqlRI+n111MfT2Vi7dOPP566OBLhlz7lZZXd5ol2VyUpD3M1Kb/lllv03XffadiwYVq2bJnGjh2rl156Sddff70ks9n64MGDNWzYMH3wwQdasGCBBg4cqJo1a+riiy92M3Qo+ZpyLwz0lqp5pIN0OGD6waGHSq1auR0FgmrrVrcjSJ4TdyNBMH32mXTQQf6+5VZIsucy77xjPm7caP+842XXLdG8cH7n11uiRc7zvPOkTp0SGwSUpDzM1VuiHXPMMfrggw9011136cEHH1Tbtm311FNP6ZJLLimZ5vbbb9fevXs1aNAgbd26Vccdd5y+/PJL1alTx8XI4SVeOKh6pRk8AKSSH49ZoRP4dDjJCwq3y1lhoVS9ursxeJnb34+fk/LiYmnJEqlDB7cjiU/ktpswwXycNk06+WTrn4v2vCLpcLx2NSmXpH79+qlfv34Vvp+RkaGhQ4dq6NChqQsK5bh1uwm/9ClPdlle+GGwS/v20tKlbkcBuwSpbAJSfCfwlH9I4dYVlAdvirVPez2ZO+ccacMGafx46YIL3I4mOquD5Dm5rb3+PdohDW5Z7z9+Oeh7vfn6rl3m/TW9InKQJL98x4nIzHQ7AgCoWBCaIiO1CgvdjiC14j1H8XLz9Y0bpbvuMmujK5uPGzZsMB+feqr0616ILZZ44os1rdXm++mQlLteUw44xa4eDnaNMh/tByGI0uHACcDkxxNH+pSXdtVV0v/+53YU3haEMuP1fTUe+/ZJu3dLtWqZz2Ot22+/mSOxR+OlbZJIf+xI1RzM6Oy8nVzZzx1/fPlp9tuv/GvpcG5JTTkclYqa8mTmk8oDcqwDipd+GIBIlE0Ezdy50tSp1qZNh/IfGmkeFQtCUh4kBxwg1a4t7dxpPg/CfppsUt6gQcXvOdGV1K5tHq2mvGHD8q+RlMO3pkyRHnvM2cTX6/3FvSZyfRMd6AIAYN3kyVL//qXvr/zaa1L37tKOHa6FhTi5/RsZar7udhwwhfbnOXPMxyB0SUm2i0Sqy2a0bW5X4pzq/upeQfP1gOrRw3w84ABzEAm3pEvi7oVafwBINa8fs377zfwDkrF9u5ST43YUqeP1PuVl+Xn09ZCyNeVeii3ZirnIadu3TyyGdEjKqSkPuGXL3I7A2+zqL25FrAPK8uXmAXnvXnuWBdjFSycGQKpR/iFJf/ub2xEkL8hl2a07BNnJb7X9icYbqjQM4ZZoYdSUe5CdBwknDzhOjr5eUCC99560dm38cflB2XWfPVtq105as8adeAAA5XnppB3u+fln85Hy4E1BqCn3Mif7lFtdHkk5fM+uK29O7Hyx5jl8uGT11vRBOaiSkAPwm6AcfwEkzq3jQGi5HIdib4OtW6V33pHOPFPKzrZn3qm+EJIOSTnN1wPO7QNVosv/7DN740iGE03c3f5enJAOB0wAAPzIrvtKwxlODgC8eLF04YXS4MH2zTM08r0VsQY6rmz6kHQ4xyQpDzgn+6g4edDOynJu3pH44QEARPPEE9K6dW5HAYnfasQWhD7lqfDGG4l9Ltp2GjcuuVhizTuadEjKab4ecG4fcBLtU56qpBz2cbuswRl8r4glyOVjyBC3I4DXBLm8+1kQkvJUxGJnRV1mZvnXrCTONF+vGEl5wDnZp9zJA0i1OEqmFw6qNF8PS4cDJwBp48b03N+rVPHfSMmAk9w6pwkdf4JwTpWKWwjb2Q+8Tp3E5pXo8qqkQdtuknIPsvPg4vaJg9cPlKm8JVrQBenHEWF8n6hIkyZSo0ZuR5F67BPeUlycHifsyQpin/JkB3rz0np6uaY8WmxHHZXY5+lTXjEOYwHn9gHH7eV7STocUBA8M2a4HQG8bNMmtyNIPX7XUo9tDid4uVyl+q5HqZqXl7e520jKA87LA73Fis1vCWy8V/7KTn/AAfbG4ya/fXeI7aOP3I4AALwh6AlFQYH08cfS9u1uRxKfoH8vdil7Hrp4sbU8IdX3JI8mHVrDpMEqpreK+oIXFiY/Hyc/l26aNHE7AgAA/McwpL173Y4iGO65RzrrLPMxHm6f67m9fDukok95pMcekw48UBo0KLnlJVspZVU6VPiQlAdctMJ/xhlS48apj6Usuw6iycwnlX3K0+GAAgBAKl19tVSzpttReJ+Vc5kxYxwPwxFUHMUvdOHlxRcrnzbROyklKl2/l7gGelu8eLHGjRunadOmaeXKldqzZ48aN26szp07q0+fPjrvvPOUxb2sPCVas5RPP7Vn3gySFh87rhT6UTqtKwDAfrF+R0aP9kYcfmAYsSsI/L5+8fLS+paNJd7YnKz4sfMOTNSUV8xSTfncuXPVq1cvHX744fr22291zDHHaPDgwXrooYfUv39/GYahe+65R82aNdOjjz6q/Px8p+MONC8dJNySDjsfAABAKgwZIjVvbt7K0G5un7cGoaY81c3Xkz3PTnbk+7LzqUw65AWWasrPPvtsDRkyRO+8844aNGhQ4XSzZs3Sk08+qSeeeEJ33323bUHCfU4c8LxwMPRK83UvbItkpcMBEwAAP9qwwXx88klp2LDS761fL+3ZE4xzEb/y8ra3ei5f0Xkgt0SzxlJSvnTpUlWvXr3S6Y4//ngdf/zxKigoSDoweF+qr+o5PZ9U8mPMlQniOgEAECTRkpvc3NTHYSfOP1IvCK0TvMZS8/Xq1atr2bJllmdqJYFHarh9ZYmdzxq3vycnUQYAAEEQhN+zIJ5vBDFBdDq2ffusT+v1Vq9BYXn09Q4dOqhly5YaMGCARo8erZUrVzoYFuzi5Z0lVmwLF7ofQxCXCwCA3/CbaR8nknK/fj9eituO1qcvvODMCPqxBnqLN24rA9rRfL0SU6dO1dSpUzVlyhTdcMMNysvLU6tWrXTyySerR48e6tGjh5o3b+5krGnDSweJWJLtj/399xW/t3Vr/PE4JRXfh1++81jS4YAJAAC8JQjnUMnaujV8z/H+/aWqVZ1dXqL3KY9n3snMw48sJ+Vdu3ZV165dde+992rfvn2aNWuWpkyZoilTpmjcuHHKz8/XAQccoMWLFzsZb1qws+DZlSilqmnQ8uXSG29I27cntjy4j+QcABBEQUgMgvgbffzx0uzZ8X/OS9+nnbHYvV5eji1I4rpPeUhmZqZOOukkHXPMMTr++OP1xRdf6OWXX46r3zn8z4kd6+ijpW3b3I/DaWVjDtKPZLL32gQAAM4IYvP17OzEPud23JH8du5kV/P1aKKV0SCdJ1fEcp9yScrLy9M333yj++67T127dtV+++2nm266Sbt27dILL7yg1atXOxVnWvH6jhjLihXS669LhYXm83jXJd6EPFle2dZeiQMAAK/hNxJwT7K3REt03unGck15t27dNHv2bLVr104nnXSSbrzxRnXr1k05OTlOxpeW/FxA99/ffNy+XbrpJndjgTvS4WomACC9dO0qHXus21EA1jjd5Dye+cd7n/J0ZbmmfObMmWrUqJF69OihU045RSeffDIJeRqJd4ecOrXyafwiCOvgJrYfACAZXvgdmT5dGjnS7SiSF6QL53aMWG7n/JLhhTIej507zUe/xe1llpPybdu26aWXXlLNmjX16KOPqnnz5urUqZNuuOEG/ec//9HGjRudjDOtuDnQWzz3LfSKZLaXVw4mQfqRBAAA3lT2fMOO8yC3z6WCcJ9yL8VSVrTYrrmm4veQGMtJea1atdS3b1898sgj+v7777Vp0yaNGDFCNWvW1IgRI9SiRQsdeuihTsaaNn74wb1l16gh3XmnffNjZw2L/CH00tVZAAC8jN9I5/h52yZboeHldfdybJK0dq098/H6eqZSXAO9RapVq5YaNGigBg0aaL/99lO1atW0aNEiO2NLW6GrT24oLpYefdTatOxI8Qn69gr6+gEA3LN+vdsRBIMTNeVu8XPsZXl5XawO9JbMNHZ+zq8sD/RWXFysOXPmaMqUKZo8ebJmzJih3bt3q3nz5urRo4eee+459ejRw8lYkYSWLaU1axL/PDsUEkUZAAAk4+mnpVdecTuKYAhS8/W8PHeW6wS/3lvciVuipSvLSXn9+vW1e/duNW3aVN27d9fIkSPVo0cPtWvXzsn4YJPatVO7PL/sdE5e4SuLfuPwk8GDpcmT3Y4CAEjIneSX87VobrhBOv30xD9PV0J4ieWk/LHHHlOPHj3UoUMHJ+OBj6QyoXV7GXaoZnlvA9z39NNuRwAAcJpfzqGiWbnSfAxia04vxWZnTXkq5+03ltOEa9zs6IyEhWpnU12w3Vqul/3lL+H/2S4AACDVgtSnHO6LLD8VtQiljFljOSm/4oorLE332muvJRwMvCve+5T7RSrXoUrCwyr6WxDKCQAAQRCkPuXJ8mvclTEM7/Ypt2u5QWQ5KR8zZoxat26tzp07y0i3rRQA8fZnNgx7+kD7oaj4IUY/CG1H+s4DAOAP6XwO5KV19/K5U6oS/BAvbwsnWU7Kr732Wo0fP16//fabrrjiCvXv318NGjRwMja46L//lc480+0orHH6oGrX/L108AcAAOmH5uthXhrozUuxxMOJPuV+WXe7WW5Q+/zzz2vt2rW644479N///lctW7bU3/72N33xxRfUnPtAvF/R8uX2zNPrRcPr8QEAANgliEl5EAd68xLuU54acfVyzcrK0kUXXaRJkyZp4cKFOuSQQzRo0CC1bt1au3btcipGJCHRJiBBPGh7STptz3RaVwAA/IQ+5cHj5Xueo2IJ36QpIyNDGRkZMgxDxcXFdsaEAGFHDmNbAAAAL0nncxMvrbvd/agrWrfff5eyspxfTjLS9Q5OcdWU5+fna9y4cerVq5c6duyo+fPn69lnn9Xq1atVu3Ztp2KEDeLd2a1MH5SdJSjr4Ta2IwAA3kZLyDAvr7tTsbVsKTVpYl8s8cbp177zqWC5pnzQoEEaP368WrVqpcsvv1zjx49Xw4YNnYwNNoq30Cd7xS60vFTsbMkswyv94jkoAQAAp3FLtDAvJYgFBdLnn0tdu0p+ree06z7lfi1PybKclI8aNUqtWrVS27ZtNXXqVE2dOjXqdBMmTLAtOHhHuu4gdorchum0PdNpXQEA8JMg/EYHYSCx7dul006TeveWvvjC7WhK4z7lqWE5KR8wYIAy0vXGcYgq1s6Srv1BAAAAvIrm62FeXPcvv0x+Hqkc6C3yPbvSxGjzSYcU1HJSPmbMGAfDgFPsGn09Xqlsvp4Mr8cHAABgF5LyMC+vuxP3/3aCk61A062FaVwDvQHR7NolDR4szZjhdiSJcePA5VYMqZAOVzMBAAgC+pSjMnZeILDSjz9dvxdLSfm1116rNWvWWJrhO++8o7fffjupoOAPoZ3mgQekp5+WTjwx/F4qm687vYx0PTjEq6LWEWw/AAC8IYg15UHoU+5XqepTng4VPpaarzdu3FiHHnqounTpojPPPFNHH320mjVrpho1amjr1q1auHChpk+frvHjx6t58+Z66aWXnI4bDovnoP3rr+VfC9KBzjCkefOkvLzk5xPtfyk9DjYAAMBbgnS+Fq+gViK41afcLul6TmwpKX/ooYd044036tVXX9WoUaO0YMGCUu/XqVNHPXv21CuvvKLevXs7EiiS48Qt0ULzjDVtEA5w774rDR/u7DKCsJ1C0vVgCgCA39B8PZjsXLdo8+rY0b75w2R5oLcmTZrorrvu0l133aVt27Zp1apV2rt3rxo1aqR27doxMrtHuTXQm1+Kg5WD1vLl3ogDAADATul8/uHldfdybJLUt6/5aGUwtnj7lFt5L4gsJ+WR6tevr/r169scCpyU6iQ5laOv+3GEynSSrusNAIDXBLFPeaLSed3jEWswNrahfRh9HZbE2iH9UivuZUHYhhyYAQDwlyD8djPQW2l+qBDzyjK8hKQ8TTjRp9yJ5aaLoA4uAgAA/IM+5RU/hynZJuZsV2tIyhEVfcr9vSwAAIDKpPO5iZfX3UtdM602X09kmV7+DlItrqTcMIySAd7gD04mx7Gar9PXBCGUAQAAvIE+5WHpvO7RfPKJdNddUnFx5dM62WUgVEbT7fuJOylv3769fv/9d6figUPiTc7tOmj7oc9Juu30AAAAEudACDvjDOmRR6R33in9eqoHekvXMhlXUl6lShW1b99emzdvdioeOCTVBdwvzddTids+AAAALwlCn3K3l+818W6P666Tdu0KP1+zxt5lebliz0vi7lM+YsQI3XbbbVqwYIET8cBHvNB83a87rF/jjsXK/SkBAIB7aL5eMS9ti1S2Ah01Snr44fjmZdd5vpe2udvivk95//79tWfPHh1++OGqXr26srOzS72/ZcsW24KDe9KlppuB3uyXLmUHAAAgCFasCP9vZVR6q68lIl3PI+NOyp966ikHwoDXJHslNZWDNKRLsusXfB8AAPhDEJqvw17xNEmP97uPZ/p0K1dxJ+WXXXaZE3HAIW6Pvu40fkwAAAAS4+Q5EOdX7rD71mSpvk95upabhO5Tvnz5ct1777266KKLtGHDBknSxIkT9csvv9gaHPwvXXYsKxc/0nVbpMt6AwDgdUH8jQ7COpTl5jp5pWtnEL/XWOJOyqdOnapOnTrp+++/14QJE7Tr/4frmzdvnu6//37bA4Q74kky/dz3w64dPtmrgEE48ARhHQAASCfp/NsdxAsUIYl2O413Xk5sMz/nFcmIOym/88479fDDD2vSpEmqXr16yes9evTQrFmzbA0O9kl25/Tqgaq4uPRtHAAAAGBNOncD9GvcTojcFvEM9Bbrc4lavVq6+mrzMSQdEvW4+5TPnz9fY8eOLfd648aNuX95mkr06pod+vaVvv46uXnYESPN1wEAgNelstKF8x53eO02ZYkk7q+8In3zjXMxeVHcNeX169fX2rVry70+d+5cNW/e3JagYJ/QwdeJK0xe2EGSTcjt4oVt4VVsGwAAvCkIv9FBWIeyvLROTjZfj/X5335Lbt5+E3dSfvHFF+uOO+7QunXrlJGRoeLiYs2YMUNDhgzRgAEDnIgRSUh0Z9m0SVq/3t5YEOalgy0AAEhP6dx8PchNopP5Trx427Igf1chcSfl//rXv9SqVSs1b95cu3bt0sEHH6yTTjpJXbp00b333utEjLBBvDvNnXdKublSfn7ln3ez+Xqy7Iov2ebrQbga6PXvGgAAlJbOv93pvO6xxNOnvLLXYF3cfcozMzP19ttv68EHH9TcuXNVXFyszp07q3379k7EhyQle2Vp0yapol4J7HxhyW6LLVvsiQMAAMAqzuXC2BameO4Q5MR9ytNV3En50qVL1b59e7Vr107t2rVzIiYEgJ+amaTqYJGuB6V0XW8AwZSZKe3b53YUgD0Y6C14vHKfcSvTW/18OpSluJPyjh07qmnTpurWrZu6deum7t27q2PHjk7EBhs5mSRHm3c67DwAAAB+EsSBfxNdvpcrkNzcpnbXlMOauPuUr127Vo8//rjq1q2rJ598UgcddJCaNm2qCy+8UKNGjXIiRtjAiZ0mCE1WUtmn3InlepGXf+QAIFlBPn4j+PiNDgvyvhy0dUuHcht3Up6Tk6OLLrpIo0aN0q+//qolS5aoT58+ev/993X99dc7ESM8IGg7t92CcIECAFA5juUIEsozyopnoDcr9yCnjFkTd/P1Xbt2afr06ZoyZYqmTp2qn376SQcddJBuvPFGdevWzYkYkYRUXFlKh6tXqBwHYwAA0k9Qfv/9Fm9FElmPRJuoO3mf8nQTd1K+3377qUGDBrr00kt177336sQTT1S9evWciA0eF5TaYTti5MIEAKQHP/yuAfA3N48zTp7TcvysWNxJ+emnn67p06frzTff1Jo1a7R69Wp1795dBx10kBPxAb4QlAsUAIDYOJYjSIJQnoOwDm6LTMTLJuUM9JYacfcp//DDD7Vp0yZNmjRJJ554or7++mt1795dubm5uvDCC52IER4Qqz+Jn2uJ3TqYcBADAACAE5K5VVnZ8/rt2yuenj7l9om7pjzksMMOU1FRkfbt26f8/HxNnDhREyZMsDM2BEA674jXXWce2J5/3u1I3JXOZQBA8HBMg5+l8pZo7CvBcPvtbkeQHuKuKX/yySd11llnqUGDBjr22GM1btw4dezYUR988IE2bdqUcCDDhw9XRkaGBg8eXPKaYRgaOnSomjVrpuzsbHXv3l2//PJLwstIZxwYU2vzZmnUKOmFF6StW83Xgv4dBH39AADwu3iaJqcbL22LZGKxez1+/tm5ZXlpm7st7pryt99+W927d9fVV1+tk046SXXr1k06iNmzZ+ull17SYYcdVur1ESNGaOTIkRozZow6dOighx9+WL169dLixYtVp06dpJebDlIxWIOfm69LzhwQCgvD/xcX2z9/AAAAwG7xnNcn00wepcWdlM+ZM8fWAHbt2qVLLrlEL7/8sh5++OGS1w3D0FNPPaV77rlH5557riTp9ddfV05OjsaOHatrrrnG1jiCLtHE+ZdfpHnzgrsTpWK9ovW7AQAAQPI4vyovmW1iJWeI59yW78eauJuvS9K2bdv0xBNP6KqrrtLVV1+tkSNHanu0UQAsuP7663X66aerZ8+epV5fsWKF1q1bp969e5e8lpWVpW7dumnmzJkVzi8/P187duwo9YfE9ekjnXaa9NNPiX0+XXfEyg5oQd4uNI0DACB90KccUmq+7y1bpP/8R8rPd35ZqRZ3Uj5nzhy1a9dOTz75pLZs2aJNmzbpySefVLt27fTjjz/GNa/x48frxx9/1PDhw8u9t27dOklSTk5OqddzcnJK3otm+PDhqlevXslfy5Yt44opqJLdUaJ15Q9K83UnpPMPUTqvOwAAfsJvtjd5qU+5k7dEi/fzvXpJ558v3Xtvcsv1oriT8ltuuUVnnnmmVq5cqQkTJuiDDz7QihUr1K9fv1KDtFVmzZo1uvnmm/XWW2+pRo0aFU6XUSbjMwyj3GuR7rrrLm3fvr3kb82aNZZjApzEDx8AAPCKRYukMWPcjsI7OE8zOXmf8hEjpL59paKi+OOSpFD971tvJfZ5L0uoT/nLL7+satXCH61WrZpuv/12HX300Zbn88MPP2jDhg066qijSl4rKirSt99+q2effVaLFy+WZNaYN23atGSaDRs2lKs9j5SVlaWsrKx4VinQ7KrFjrXTxVqGHw5wTsSYjq0HaDkBAIC3Rf5GH3ywPfN0+1zP7eWno3i2edlpv/hCmj5d6tYt8XlEDqgcFHHXlNetW1erV68u9/qaNWviGhH9lFNO0fz58/XTTz+V/B199NG65JJL9NNPP2n//fdXbm6uJk2aVPKZgoICTZ06VV26dIk3bDggCAfBVA70lq7Sff0BAPAKLpynh2RGRU909PV4lplsUr1vX3Kf96K4a8ovuOACXXnllXr88cfVpUsXZWRkaPr06brtttt00UUXWZ5PnTp1dOihh5Z6rVatWmrYsGHJ64MHD9awYcPUvn17tW/fXsOGDVPNmjV18cUXxxs2ksRBPHmJHrj8JsjrBgAArOF8IHFu9il38pZodn0+iDXlcSfljz/+uDIyMjRgwAAV/v8WyczM1HXXXadHHnnE1uBuv/127d27V4MGDdLWrVt13HHH6csvv+Qe5S6IttNYaa7MARkAACDYtm+X6tb1VyWOn2J1WuS2CJ27791r3oXJaq30jBlS06bSIYfYH186NF+POymvXr26nn76aQ0fPlzLly+XYRg64IADVLNmzaSDmTJlSqnnGRkZGjp0qIYOHZr0vJEckmtYxY8cECwc/wHE8u23Uv360pVXSq+84nY01nFsC4vWfP3116Vp02JPH/m5oUPNv7Lb1YntnOhAcV5muU/5nj17dP3116t58+Zq0qSJrrrqKjVt2lSHHXaYLQk5nOXkgcfPSZhhpG6gt6Af/LlPKQAA6WfhQvPx1VfdWb5d5xlBOl9JZl1C57B79zq7nHgE6bupiOWk/P7779eYMWN0+umn68ILL9SkSZN03XXXORkbbGBXwpxokpkOO1Ei2C4AACDIONfxt1RUuiVaRvxcIVgRy83XJ0yYoFdffVUXXnihJKl///464YQTVFRUpKpVqzoWIOwRxMLrN/w4AfAjjl1AcHA+GOblbeGFgd6sbB8q6OxjuaZ8zZo16tq1a8nzY489VtWqVdOff/7pSGDwDy8f1Lwg3Q9G6b7+AADAe4qKpBYtpE8/dTsS/4nWp7zse04sL8gsJ+VFRUWqXr16qdeqVatWMgI7vI0dJLogrAMAOInjJBAcVKSU9scfUr9+bkfhX6lKytOB5ebrhmFo4MCBysrKKnktLy9P1157rWrVqlXy2oQJE+yNEJ6Q6A7mhx2TQSrsxQ8+AADw2/lVkM7T7BjoLdHzuaIiqYrFat8gbfNkWU7KL7vssnKv9e/f39ZgYL9UJEgkYfEL4kEoVlMmAP7FPg0AqeVmn/KQRPuUFxfbH086/A5ZTspHjx7tZBxwSKgQkzinFts7LB0OpAAAAHb473+l7dvdjsK+pDzReacby0k5/M2tPuUkZOlXg8yBFgAAIDFnnunu8pMddb2oKLnPpyvLA73Bn9xqvu6Xnc0w/BMrALiBYyQQHKm8cM6xwz+ifVeJJudWkvJYn09mOj8jKQccRs0xAACA/aZOlfLz7ZlXUBK/VFY4JdpqlnPj8mi+HnBOFvpYO2JouUE5wCUjWvP1IG6XitYpiOsKpBP2YSA4gpYMde/udgTes3KltGNHfJ+JVi4SLSv8ZiSGpDzgUnGbCD83X3dK0H70AAAA4H3HHhv/ZyLP263cEi3Z8ZLi/Vw65BU0X0dac2onjzbfdDigAAgejl0AEsGxw5/iqVhK9nyXMhJGUh5wNF+vnB9iBAAAAFLFrhyCPuXWkJSniWQTz1g7D83Xy+NgE5buZQEAAHgf5yvxS1XL0HT4bkjKYUk67AxOSfeB3gD4G/s2EBxUGqAyyfYp5zcjMSTlaSLZg3C8A71x0AcAAACCK9kEnAQ+jKQcCUv03oRe4vX4/IgLMkCwcJwEgiOVv9EcO/zDzn7fZedlRzkoO48gnmuSlAecXQOuxVv4/XQgTlWsftomdkrX9QYAAPArK+f+bp3jBfHckqQclsTbfB0AEAxBPPkBAIRFu0+5lekZ6M0+JOVIWFBuieaEytY7XbcLAACAF6XzuVk6r7tXkJR7yN690lVXOTNvJ2uz/XxLtFTG6Zdtkqigrx8AALCO8wL/SLRPuZWa8ljlINEyEsRWuiTlHvLkk9Krrzoz71T3KUdYuv8opfv6AwDgFZzPoTJWbokW4ta4TEE8tyQp95A1a9yOoGLxFn4/NV9noDcAiM4wOHYBiF9enrRli9tRIBHx3Kc83vdQsWpuBwBn2XVFNFbzFD83X3cKfcoBBMFhh0kHHeR2FAD8pnVracMGt6OAVYmelyY60Fuy+UkQW3yQlMMRhiF9/bW0caPbkQAAErVggfkHAPHwY0KezhUmxcWJfc7KNouVuFvd5unw3ZCUw5J4r0h99JH553UM9GafitYv6OsNAIBfBLGGEc6wa6A3JwTx3JI+5bAk3ubrCAvigSMWygMAAIA/JdunHIkhKUfac+LAks4Hq3RedwAAAL+xs/m6E33Ky84ziBVAJOUB56dR0IMqWr8Zvg8AAJBqQUxm4J5U9SlPByTlHvLOO25HkBg/H+A5GNivbHlgGwMA4A38JlcsnbdN5Lone16fztsxGSTlHrJ1q3PzdiJxZqcDAAAA/C3aOb2TA70l23w9iEjKAQdEa6oe9ANKuqwnAABAUFnp+so5n/24JVqacHKn8XPzdcn5A8onn0iLFkkdOoRf+/13ac4cZ5frFRywAQCAlxUVSZs3ux2Fe+w8Vys7L/qUW0NSjoSxI1lz3XXm4+GHh18bMcL8CyK/X6QBACCoOHeLrlqaZ0R2Nl93QjqUW5qvw5JoO8OYMdIRR0i7d6c6Gvukcif//ffULQsAAACIVzyVK6nqU54OSMrThFOF/+efpTffdGbefjRnjtSmjfTuu25HAgAAUJphSJ99Jv35p9uRwEu+/Ta+6VNdc50ONeVp3lgjfaRDYU6Undvm3HOlNWukm25ydjleVNH6BX29AQDwi/Hjpa++krKy3I4EXpKfn9jnrNSUWxkwDiTlgTdihDRvnlRc7HYk6SEvz+0IAAAAovvqK/Mx0SQMwZds8/Xff5dat7YvnnRB8/WA27RJeustaeVKtyPxJruv0NFHBgAAAOkg2nn0kCGpWU7QkJQDNkrnpHzfPmnAAGn2bLcjAQAA0VSt6nYE8ItY57ShJDna7X39PAC0m2i+DkvS4QqV04K+DadMif560NcbAAC/qFLFvCc3UJFQMm7l/G348MqncaJPeRArwagpR9qzM2kM4kECAAAEAzXlcJoTlTHxDB7nVyTlgI2qsEcBAACPIimHVVQ0pRYpBNJaKgd6C+JVPQAA4B9UHsCKyu7aFM85Lee/1rBrAimSrn24OBgDAAD4wyOPSI0aSYsXJ/b5BQukI4+0dptgq+eIZacrKIg/Lq8jKQdsFKumfOfO1MUBAAAAxGvVKmnrVmnYsMTnMXeuNGFCxe/TNL48knKkPQZ6AwAA6YDzFKRKrBaitKIsj6QcaS2VfcoBAADcRDIEO6S6T3k6lFuScsBGJOXlpcOBFAAAP+A3GXYaNCi5z1Mew0jKARuRlAMAACAd1KhR8XuxEm7Ol8sjKQdsxEEGAAAAqFi8NeTpUKNOUo60x0BvAAAAgDWhc2cr59DpkFDbgaQcaY0DhfPYxgAAAAihEqs8knLARlXYowAAgEeRDMFOyVa8WP18OlTwkEIANuLHDgAAeFU6JDdwXnGxtHNn4p+nHJZHUg7YiKQcAAB4FckQ7PDBB1LdutKqVZVPy33KrSEpR1ozjPTY0d3E9gUAAAieDz5I7HNUYpVHUg7YiIMMAAAAUDkqbsJIygEbkZQDAAAA9kmH5J2kHLARSTkAAABgSoeE2g4k5YCNSMrL42AMAAAAVIykHGnN7oHeSMoBAACAynGf8jCScsBGJOUAACCdpUMCBditmtsBAEFCUg4AANLVxRdLffq4HQW8hIs01pCUA3AUB2MAALzB6d/kcePMP8DOspYO55I0X0das3snr8IeBQAAAFQqHZJtq0ghkPYY6A0AAACAW0jKARuRlJdm9+j2AAAA8I9o54Hxni+nw7kkSTkAAAAAICXSIcmOF0m5R1A43WH3dqemHAAAAKgc+U8YSTnSHn3KncPBFgAA7+B3GX6UDuWWW6IBNiIpL+3NN7k1CgAAQLqKllCvWCEtXy7t25f6eLyKpNwj0uEKUDogKS9t4EC3IwAAAICXXHGF+di6tbtxeAnN1wEbkZQDAACvohIIXrJqlbXp0qHckpR7RDoUNi+ye7vn59s7PwAAAADBRlKOtGdnYv7zz/bNCwAAwE5UAiHV7Chz6VBuScoBAAAAAHAJSblHpMMVIAAAALiH802kCmUtPq4m5cOHD9cxxxyjOnXqqEmTJjr77LO1ePHiUtMYhqGhQ4eqWbNmys7OVvfu3fXLL7+4FDGChgMGAAAA4F3RzteDdg7valI+depUXX/99fruu+80adIkFRYWqnfv3tq9e3fJNCNGjNDIkSP17LPPavbs2crNzVWvXr20c+dOFyO3X9AKll8YhlRUZN/8zj7bvnkBAADYifNNpBplzhpX71M+ceLEUs9Hjx6tJk2a6IcfftBJJ50kwzD01FNP6Z577tG5554rSXr99deVk5OjsWPH6pprrnEjbATIxRfbO7/MTHvnBwAAAKA0wwjWrYg91ad8+/btkqQGDRpIklasWKF169apd+/eJdNkZWWpW7dumjlzZtR55Ofna8eOHaX+AAAAgHRHrSX8KB3KrWeScsMw9I9//EMnnniiDj30UEnSunXrJEk5OTmlps3JySl5r6zhw4erXr16JX8tW7Z0NnCbpENhAwAAgHs430SqOVXmglaWPZOU33DDDZo3b57GjRtX7r2MMm0TDMMo91rIXXfdpe3bt5f8rVmzxpF4AQAAAACpF7Sk3NU+5SE33nijPv74Y3377bdq0aJFyeu5ubmSzBrzpk2blry+YcOGcrXnIVlZWcrKynI2YAcErWClK75HAAAAwD7pcH7tak25YRi64YYbNGHCBH3zzTdq27Ztqffbtm2r3NxcTZo0qeS1goICTZ06VV26dEl1uEClgjTgBAAACJZ0SG6QHoJWll2tKb/++us1duxYffTRR6pTp05JP/F69eopOztbGRkZGjx4sIYNG6b27durffv2GjZsmGrWrKmL7R42G7BB0A4QAAAAQKI4N7bG1aT8hRdekCR179691OujR4/WwIEDJUm333679u7dq0GDBmnr1q067rjj9OWXX6pOnTopjtZZFFgAAAA4ifNN+FG0chu0suxqUm5Y2JoZGRkaOnSohg4d6nxAAAAAQEAFLZFB+gpaWfbM6OvpLmgFCwAAAABQOZJyAAAAAIBtQhWOdlQ8pkPzdZJywEZBO0AAAAAAcBZJuUeQzAEAAABAadSUA4gL9ykHAAAAEA+Sco8I2tWedMX3CAAAAJicOjcO2jk3STkAAAAAwJNCCXinTuVfCwqScgAAAACAp1Wr5nYEziEp94igXe0BAAAAACcELXciKQcAAAAA2M7O+5QHeUBlknKPCNrVnnRUpYq0aJHbUQAAAADBYRhScXH514KEpBywiWFICxe6HQUAAAAQHM8/L1WtKm3YEH6NpBwAAAAAgBT6/Xe3I3AOSblHBO1qDwAAAID0xn3KrSEpBwAAAADAJSTlHhG0qz0AAAAA4ISg5U4k5QAAAAAA2zidNJOUAwAAAABQiaAlz04hKfcICiwAAAAAVC5ouRNJOQAAAAAALiEp94igXe0BAAAAACcELXeq5nYAAAAAAIDgKCiQ7r5bWr3a7Uj8gaQcAAAAAGCb556TFixwbv5Bqymn+bpHBK1gAQAAAEhPS5Y4O/+g5U4k5QAAAAAA22RkuB2Bv5CUe0TQrvYAAAAASE9O5zZBy51IygEAAAAAtgla0uw0knIAAAAAgG8ELeknKfeIoBUsAAAAAHBC0HInknIAAAAAAFxCUu4RQbvaAwAAACA9MdBbfEjKAQAAAAC24ZZo8SEpBwAAAAD4BjXlcETQChYAAAAAoHIk5QAAAAAA3whahSZJuUcErWABAAAAgBOCljuRlAMAAAAA4BKScgAAAACAb1BTDkcErWABAAAASE/kNvEhKQcAAAAA+EbQkn6Sco8IWsECAAAAACcELXciKQcAAAAA2Kaw0O0I/IWkHAAAAADgG9SUwxFBK1gAAAAAgMqRlAMAAAAAfCNoFZok5R4RtIIFAAAAAKgcSTkAAAAAwDeCVqFJUg4AAAAA8A2ScjgiaAULAAAAAFA5knIAAAAAgG8ErUKTpBwAAAAAAJeQlHtE0K72AAAAAIATgpY7kZQDAAAAAHyDpByOCFrBAgAAAABUjqQcAAAAAOAbQavQJCkHAAAAAMAlJOUeEbSrPQAAAADghKDlTiTlAAAAAAC4hKTcI4J2tQcAAAAAnBC03ImkHAAAAADgGyTlAAAAAADAFiTlHhG0qz0AAAAA4ISg5U4k5QAAAAAAuISk3COCdrUHAAAAAJwQtNyJpBwAAAAA4Bsk5QAAAAAAwBYk5R4RtKs9AAAAAOCEoOVOJOUAAAAAALiEpNwjgna1BwAAAACcELTciaQcAAAAAACXkJQDAAAAAHyDmnI4ImgFCwAAAACcELTciaQcAAAAAACXkJR7RNCu9gAAAACAE4KWO5GUAwAAAADgEpJyAAAAAIBvUFMORwStYAEAAACAE4KWO5GUAwAAAADgEpJyjwja1R4AAAAAcELQcieScgAAAAAAXOKLpPz5559X27ZtVaNGDR111FGaNm2a2yEBAAAAAFxATXmKvfPOOxo8eLDuuecezZ07V127dtWpp56q1atXux2arYJWsAAAAAAAlfN8Uj5y5EhdeeWVuuqqq3TQQQfpqaeeUsuWLfXCCy+4HZqtqPwHAAAAgMp9843bEdjL00l5QUGBfvjhB/Xu3bvU671799bMmTOjfiY/P187duwo9ecHTzzhdgQAAAAA4H0jRrgdgb2quR1ALJs2bVJRUZFycnJKvZ6Tk6N169ZF/czw4cP1wAMPpCI8W/XpIzVuLP3+u9SihTR/vnToodLmzVJ+vvnaTz9Jhx8u/fyz+bh7t1RQIO23nzRvnnTYYeZ7RxwhrVkj1axpzvO336TWrcPTbNkiZWdLVatKy5dLBx1kLrdlS2npUqlZM6lWLXMeLVpI69dLubnSn39Koa9i/XqpadPS8R5yiLRtm7RnjzmvULzbt5txbNsm5eVJDRqE1yH03qZNZhP+Bg2kFSukVq2knTvN5xs2SFlZUvXq0pIl0sEHS3/8IbVpY8ZRpYrUpIm0caNUr575XvPm5vapU0cqKpLWrjXXK/ReKO4tW8zltGljxp2dHY5p+3bztcaNpV27zO25apW0//7mPPfulWrXNterTh1p1ixz2+fnS5mZ5veyaZNUt665jP32M+OtVSs8r5Ytw9/LihVmTJmZZpyhbR9atyZNzG20Z4/5PaxbJzVsaJaRRo3M+a5dK9WoYW6zhg3NuOvXl6pVM2OuVk1audL8/K5d5vbatcv8TFZWeBvu2WOuW36+uX2zs0u/FyofNWua31Foe+7bZ85nyxYz3sxM83uoUiW8DXfsMOOtVs2cV9Wq5rauXTv8ne/da5az7GwpIyNczgsKzD/JfL24WCosDMe7a5f5WK1aON6sLHOaoiIz7tA2zMgwY6tZ0/xMZqY5XdWqZozVq5vrX7u2+dq+feb0Vaua88/PN+dRo4YZT2hbVa1q/t+ggfm4b58ZZ2amOe3Wrea22bnTnLaoyIypTh2zvOTkmI9FReb6S+HtUauWGXtRkRmXYYTXLfRd7tplzqtGDfP9XbvMdcnLM+PNzDTf37XLfD+0nZo0Mde7oMDcZqHlbdoU3n+zsszP79ljfmbDhnDZbtTI/MyePeZ22LHDLINbtpjbuEoVc/lFReY0HTqYx5s6dcx1qFbN3Fb5+ebn1q8398utW835FhWZsdWvb77XqJG5DpmZ5rwLCsxtsnGjuQ23bjXXu1q18Dpt22a+t3mzue61apnzrlnTnGe7dub+UaOG+d1I5ne3e3c43tq1zddCZSIvT2rf3jw21atnxl+rlrncTZvC+32jRuZ8qlc3l11QYB6XlyyRDjjAPL7WqWMuc8cOc39askRauND8LcjJMT+3bZv5WcOQOnY0jxuR6xna3zp2lJYtMz+Xn29u48JCsyw1amTGVL++uQ6hsp+XZ8a7YUN4PzQMc/6hfWbfPvP4vGWLuR1D+0d2trnN69Y151O9ujnfffvM/7duNcvRli1mrNWqmfMO7Y+h43VoH5LM7deoUbic5+WZn2vY0PwOQuW7uNiMNy8vPI+NG834MzPN7bt+vRlL6DvNyDC3S06OWYb37TPnV7Wq+T1u3Giu29694d+fwsLwb2po/6pSxfzLzDTX/Y8/wmWlWTMzJsMwy++OHWYZW7as9PEoVB5Cx5UqVcxlhl4P7Tuh8hYqJ1J42r17zZjy8sLHG8n8fHFx+Di4bZu5rUL7cUZG+Ldv40bz9zF03M7IMD+Xn2/OI3TMCR23yx4HQ8vIyzO/7zp1wtMZhjmPKlXCv4uh7zwjw5xGMste6LhdVBQ+DhYWhj+XlRU+rtaqFf4db9w4fEzfvt08poX2idq1zX27Vavwb1BenjnfmjXDx+3Q8axqVfO9Kv9fdRU6/tetG/4+MjLCx99QvNu2mfFXrVr+N3P79vBxKxRfKF7DCJe30O/Yzp3m50Lx5ueb6xNav9q1zd/h1q3N7b1tm1nWQ7+Z1aqV/j2rXt2MqX59czvn5obPSbKzw+dJS5eax7RQ/FWqmPNu0yb8fYfKt2SW54MOkmbMkE44Ibxu69aZ67P//ub54IEHhuPdsiW8z4TO+X77zdw//vjDjLVJk/B3FjrHWL/e3P+zs81jZuPG4fO60OO+fWbszZqZ827bNrzcvXvN7yM31zz36tjRjPuYY8zyUFBgLnf1avNzixaZcYfObXNyyp+Lr1tnbudGjcxz4chz8dWrze+pbl3p11/N8+TIc75Gjcx1XbnSjGX1anN9ly4117e42Jx/u3bhzy1aZH7Pe/aYcbVuHY4ltJ6rVpnfTatW4XhDn1+/3nwvJ6d87rBypbltGzUK//aEplm50jx2ZGeHv/PQe8uWhcvDH3+Y5SdUHhYuNOPNyzO/99atpZkzzffWrDFj3Ly5fO7w22/m53bvNr+3+vXN8+wTTgjH26GDAsXTSXlIRkZGqeeGYZR7LeSuu+7SP/7xj5LnO3bsUMuWLR2Nzw7//rfbEQAAAAAAUs3TSXmjRo1UtWrVcrXiGzZsKFd7HpKVlaWsUDUPAAAAAAAe5uk+5dWrV9dRRx2lSZMmlXp90qRJ6tKli0tRAQAAAABgD0/XlEvSP/7xD1166aU6+uijdfzxx+ull17S6tWrde2117odGgAAAAAASfF8Un7BBRdo8+bNevDBB7V27Vodeuih+uyzz9S6dWu3QwMAAAAAICkZhmEYbgfhpB07dqhevXravn276tat63Y4AAAAAICAiycP9XSfcgAAAAAAgoykHAAAAAAAl5CUAwAAAADgEpJyAAAAAABcQlIOAAAAAIBLSMoBAAAAAHAJSTkAAAAAAC4hKQcAAAAAwCUk5QAAAAAAuISkHAAAAAAAl5CUAwAAAADgEpJyAAAAAABcQlIOAAAAAIBLqrkdgNMMw5Ak7dixw+VIAAAAAADpIJR/hvLRWAKflO/cuVOS1LJlS5cjAQAAAACkk507d6pevXoxp8kwrKTuPlZcXKw///xTderUUUZGhtvhVGjHjh1q2bKl1qxZo7p167odDjyIMoJ4UWaQCMoNEkXZQSIoN4iXX8qMYRjauXOnmjVrpipVYvcaD3xNeZUqVdSiRQu3w7Csbt26ni5ccB9lBPGizCARlBskirKDRFBuEC8/lJnKashDGOgNAAAAAACXkJQDAAAAAOASknKPyMrK0v3336+srCy3Q4FHUUYQL8oMEkG5QaIoO0gE5QbxCmKZCfxAbwAAAAAAeBU15QAAAAAAuISkHAAAAAAAl5CUAwAAAADgEpJyAAAAAABcQlIew/Dhw3XMMceoTp06atKkic4++2wtXry41DSGYWjo0KFq1qyZsrOz1b17d/3yyy+lpsnPz9eNN96oRo0aqVatWjrzzDP1+++/l1vep59+quOOO07Z2dlq1KiRzj333EpjnD9/vrp166bs7Gw1b95cDz74oCLH7lu7dq0uvvhidezYUVWqVNHgwYMT2xiIKghlZPr06TrhhBPUsGFDZWdn68ADD9STTz6Z4BZBZYJQZqZMmaKMjIxyf7/++muCWwWVCUK5GThwYNRyc8ghhyS4VWBFEMqOJD333HM66KCDlJ2drY4dO+qNN95IYGvACq+Xmby8PA0cOFCdOnVStWrVdPbZZ5ebhvPf1EtVuanoHCQjI0OzZ8+OGaOn8yYDFerTp48xevRoY8GCBcZPP/1knH766UarVq2MXbt2lUzzyCOPGHXq1DHef/99Y/78+cYFF1xgNG3a1NixY0fJNNdee63RvHlzY9KkScaPP/5o9OjRwzj88MONwsLCkmn+85//GPvtt5/xwgsvGIsXLzZ+/fVX47333osZ3/bt242cnBzjwgsvNObPn2+8//77Rp06dYzHH3+8ZJoVK1YYN910k/H6668bRxxxhHHzzTfbt4EQiDLy448/GmPHjjUWLFhgrFixwnjzzTeNmjVrGi+++KKNWwohQSgzkydPNiQZixcvNtauXVvyF7ls2CsI5Wbbtm2lysuaNWuMBg0aGPfff799GwrlBKHsPP/880adOnWM8ePHG8uXLzfGjRtn1K5d2/j4449t3FII8XqZ2bVrl3HttdcaL730ktGnTx/jrLPOKjcN57+pl6pyk5+fX+q3ZO3atcZVV11ltGnTxiguLq4wPq/nTSTlcdiwYYMhyZg6daphGIZRXFxs5ObmGo888kjJNHl5eUa9evWMUaNGGYZhnoRkZmYa48ePL5nmjz/+MKpUqWJMnDjRMAzD2Ldvn9G8eXPjlVdeiSue559/3qhXr56Rl5dX8trw4cONZs2aRS2U3bp146DkML+XkZBzzjnH6N+/f1zLQmL8WGZCSfnWrVsTWmckz4/lpqwPPvjAyMjIMFauXBnXspAcP5ad448/3hgyZEipz918883GCSecENeykBivlZlIl112WdSkPBLnv+5wqtyUVVBQYDRp0sR48MEHY8bj9byJ5utx2L59uySpQYMGkqQVK1Zo3bp16t27d8k0WVlZ6tatm2bOnClJ+uGHH7Rv375S0zRr1kyHHnpoyTQ//vij/vjjD1WpUkWdO3dW06ZNdeqpp5ZrzlHWrFmz1K1bN2VlZZW81qdPH/35559auXKlLeuM+AShjMydO1czZ85Ut27d4t8AiJufy0xovqeccoomT56c+EZA3PxcbkJeffVV9ezZU61bt45/AyBhfiw7+fn5qlGjRqnPZWdn63//+5/27duX4JaAVV4rM/AHp8pNWR9//LE2bdqkgQMHxozH63kTSblFhmHoH//4h0488UQdeuihkqR169ZJknJyckpNm5OTU/LeunXrVL16de23334VTvPbb79JkoYOHap7771Xn3zyifbbbz9169ZNW7ZsqTCmdevWRV12ZGxIHb+XkRYtWigrK0tHH320rr/+el111VVxrT/i59cy07RpU7300kt6//33NWHCBHXs2FGnnHKKvv3224S2A+Lj13ITae3atfr88885zqSYX8tOnz599Morr+iHH36QYRiaM2eOXnvtNe3bt0+bNm1KaFvAGi+WGXifk+WmrFdffVV9+vRRy5YtY8bk9byJpNyiG264QfPmzdO4cePKvZeRkVHquWEY5V4rK3Ka4uJiSdI999yj8847T0cddZRGjx6tjIwMvffee5KkQw45RLVr11bt2rV16qmnxlx2tNfhPL+XkWnTpmnOnDkaNWqUnnrqqajrAXv5tcx07NhRV199tY488kgdf/zxev7553X66afr8ccfj2f1kSC/lptIY8aMUf369aMO0ATn+LXs3HfffTr11FP1l7/8RZmZmTrrrLNKasWqVq1qdfWRAK+WGXibk+Um0u+//64vvvhCV155ZanX/Zg3VXM7AD+48cYb9fHHH+vbb79VixYtSl7Pzc2VZF5dadq0acnrGzZsKLnykpubq4KCAm3durXUVZ8NGzaoS5cuklTy2YMPPrjk/aysLO2///5avXq1JOmzzz4raaKVnZ1dMu+yV3Y2bNggqfxVKDgrCGWkbdu2kqROnTpp/fr1Gjp0qC666KKEtgcqF4QyE+kvf/mL3nrrrXg2ARIQhHJjGIZee+01XXrppapevXqimwJx8nPZyc7O1muvvaYXX3xR69evL2mtU6dOHTVq1CjZTYMKeLXMwNucLjeRRo8erYYNG+rMM88s9bof8yZqymMwDEM33HCDJkyYoG+++aYkaQlp27atcnNzNWnSpJLXCgoKNHXq1JKCc9RRRykzM7PUNGvXrtWCBQtKTZOVlVXqtgH79u3TypUrS/ratW7dWgcccIAOOOAANW/eXJJ0/PHH69tvv1VBQUHJ57788ks1a9ZMbdq0sXdjIKqglhHDMJSfn5/gVkEsQS0zc+fOLfUjC3sFqdxMnTpVy5YtK1ezAWcEqexkZmaqRYsWqlq1qsaPH69+/fqpShVOZe3m9TIDb0pVuYlc3ujRozVgwABlZmaWes+XeZOTo8j53XXXXWfUq1fPmDJlSqlh9/fs2VMyzSOPPGLUq1fPmDBhgjF//nzjoosuijq0f4sWLYyvvvrK+PHHH42TTz653C0hbr75ZqN58+bGF198Yfz666/GlVdeaTRp0sTYsmVLhfFt27bNyMnJMS666CJj/vz5xoQJE4y6deuWGtrfMAxj7ty5xty5c42jjjrKuPjii425c+cav/zyi41bKn0FoYw8++yzxscff2wsWbLEWLJkifHaa68ZdevWNe655x6btxYMIxhl5sknnzQ++OADY8mSJcaCBQuMO++805BkvP/++zZvLYQEodyE9O/f3zjuuONs2jKoTBDKzuLFi40333zTWLJkifH9998bF1xwgdGgQQNjxYoV9m4sGIbh/TJjGIbxyy+/GHPnzjXOOOMMo3v37iXnupE4/02tVJYbwzCMr776ypBkLFy40FJ8Xs+bSMpjkBT1b/To0SXTFBcXG/fff7+Rm5trZGVlGSeddJIxf/78UvPZu3evccMNNxgNGjQwsrOzjX79+hmrV68uNU1BQYFx6623Gk2aNDHq1Klj9OzZ01iwYEGlMc6bN8/o2rWrkZWVZeTm5hpDhw4tN6x/tHVo3bp1wtsFYUEoI//+97+NQw45xKhZs6ZRt25do3Pnzsbzzz9vFBUVJbdxEFUQysyjjz5qtGvXzqhRo4ax3377GSeeeKLx6aefJrdhEFMQyo1hmCdF2dnZxksvvZT4xkBcglB2Fi5caBxxxBFGdna2UbduXeOss84yfv311+Q2DCrkhzLTunXrqDFWth6c/zonleXGMAzjoosuMrp06RJXjF7OmzL+f+EAAAAAACDF6IgDAAAAAIBLSMoBAAAAAHAJSTkAAAAAAC4hKQcAAAAAwCUk5QAAAAAAuISkHAAAAAAAl5CUAwAAAADgEpJyAAAAAABcQlIOAAAAAIBLSMoBAAi4gQMHKiMjQxkZGcrMzFROTo569eql1157TcXFxZbnM2bMGNWvX9+5QAEASEMk5QAApIG+fftq7dq1WrlypT7//HP16NFDN998s/r166fCwkK3wwMAIG2RlAMAkAaysrKUm5ur5s2b68gjj9Tdd9+tjz76SJ9//rnGjBkjSRo5cqQ6deqkWrVqqWXLlho0aJB27dolSZoyZYouv/xybd++vaTWfejQoZKkgoIC3X777WrevLlq1aql4447TlOmTHFnRQEA8BmScgAA0tTJJ5+sww8/XBMmTJAkValSRf/+97+1YMECvf766/rmm290++23S5K6dOmip556SnXr1tXatWu1du1aDRkyRJJ0+eWXa8aMGRo/frzmzZun888/X3379tXSpUtdWzcAAPwiwzAMw+0gAACAcwYOHKht27bpww8/LPfehRdeqHnz5mnhwoXl3nvvvfd03XXXadOmTZLMPuWDBw/Wtm3bSqZZvny52rdvr99//13NmjUreb1nz5469thjNWzYMNvXBwCAIKnmdgAAAMA9hmEoIyNDkjR58mQNGzZMCxcu1I4dO1RYWKi8vDzt3r1btWrVivr5H3/8UYZhqEOHDqVez8/PV8OGDR2PHwAAvyMpBwAgjS1atEht27bVqlWrdNppp+naa6/VQw89pAYNGmj69Om68sortW/fvgo/X1xcrKpVq+qHH35Q1apVS71Xu3Ztp8MHAMD3SMoBAEhT33zzjebPn69bbrlFc+bMUWFhoZ544glVqWIOOfPuu++Wmr569eoqKioq9Vrnzp1VVFSkDRs2qGvXrimLHQCAoCApBwAgDeTn52vdunUqKirS+vXrNXHiRA0fPlz9+vXTgAEDNH/+fBUWFuqZZ57RGWecoRkzZmjUqFGl5tGmTRvt2rVLX3/9tQ4//HDVrFlTHTp00CWXXKIBAwboiSeeUOfOnbVp0yZ988036tSpk0477TSX1hgAAH9g9HUAANLAxIkT1bRpU7Vp00Z9+/bV5MmT9e9//1sfffSRqlatqiOOOEIjR47Uo48+qkMPPVRvv/22hg8fXmoeXbp00bXXXqsLLrhAjRs31ogRIyRJo0eP1oABA3TrrbeqY8eOOvPMM/X999+rZcuWbqwqAAC+wujrAAAAAAC4hJpyAAAAAABcQlIOAAAAAIBLSMoBAAAAAHAJSTkAAAAAAC4hKQcAAAAAwCUk5QAAAAAAuISkHAAAAAAAl5CUAwAAAADgEpJyAAAAAABcQlIOAAAAAIBLSMoBAAAAAHDJ/wGvc1FMHzlSMAAAAABJRU5ErkJggg==",
+      "text/plain": [
+       "<Figure size 1200x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(12, 6))\n",
+    "plt.plot(data_hourly['ds'], data_hourly['y'], color='b', label='Power (MW)')\n",
+    "plt.xlabel('Date')\n",
+    "plt.ylabel('Power (MW)')\n",
+    "plt.title('Hourly Power Generation')\n",
+    "plt.legend()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "dd7f019d-c501-4a9b-ba10-3c820957f4a2",
+   "metadata": {},
+   "source": [
+    "From the overview, our data seems to have high daily seasonality, with zeros in the nighttime and peak power output during the day."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9c9f6756-d7b5-46a9-b325-ae205b8594c0",
+   "metadata": {},
+   "source": [
+    "### Arima\n",
+    "We are not sure what model suits our data the best, so we start by using the typical model used for time-series forecasting, the **Auto-Regressive Integrated Moving Average (ARIMA)** model. \n",
+    "The ARIMA model is only suitable for stationary data, our data seems to have daily seasonality, so we go into the prediction expecting lower accuracy."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "id": "897b1a46-6d1a-4dc6-a62b-71c65e05eb9b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def adf_test(series):\n",
+    "    result = adfuller(series)\n",
+    "    print(f'ADF Statistic: {result[0]}')\n",
+    "    print(f'p-value: {result[1]}')\n",
+    "    if result[1] > 0.05:\n",
+    "        print(\"Series is non-stationary\")\n",
+    "    else:\n",
+    "        print(\"Series is stationary\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "651b7b12-a0aa-47c9-84c6-77db9aa6f004",
+   "metadata": {},
+   "source": [
+    "The **Augmented Dickey-Fuller (ADF)** test is commonly used to check whether a time series is stationary. A stationary series has statistical properties (like mean and variance) that do not change over time."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "id": "aef6b0b4-93b9-4dbb-946f-956509921799",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "ADF Statistic: -39.028619911556035\n",
+      "p-value: 0.0\n",
+      "Series is stationary\n"
+     ]
+    }
+   ],
+   "source": [
+    "adf_test(dff)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c5cd1008-5ebc-49e2-b149-5be729ea569d",
+   "metadata": {},
+   "source": [
+    "The ADF test has a loose confidence interval and suggests our data is stationary, which may not necessarily be true, but we move on with it and do not use **differencing**.     **Differencing** is a transformation technique used in time series analysis to make a non-stationary series stationary by removing trends or seasonality. It involves subtracting the previous observation from the current observation.   \n",
+    "Though we might want to try differencing later."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 44,
+   "id": "a1fe0c13-ddda-4599-96e2-25e2ffde69f6",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x600 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(12,6))\n",
+    "plt.subplot(121)\n",
+    "plot_acf(dff, ax=plt.gca())\n",
+    "plt.subplot(122)\n",
+    "plot_pacf(dff, ax=plt.gca())\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "93f9de6b-c0d6-428d-a92f-0cb43d73a152",
+   "metadata": {},
+   "source": [
+    "The ARIMA model has p, d and q values that we have to select based on our data. We use these acf and pacf graphs to determine those values.  \n",
+    "From the graphs above we understand that differencing is required for our data."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 71,
+   "id": "2a2acd8b-515f-4eb5-a857-cf6cc84d7f69",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Differencing\n",
+    "df['PowerDiff'] = dff.diff().dropna()\n",
+    "diff = df['PowerDiff']"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2bcf5d5f-5e67-4cbe-95c1-3e8e861136d3",
+   "metadata": {},
+   "source": [
+    "Construct the plot again for our differenced data."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 73,
+   "id": "0aec7335-ebf1-41d3-a94d-e8d3bf4a370c",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x600 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(12,6))\n",
+    "plt.subplot(121)\n",
+    "plot_acf(diff.dropna(), ax=plt.gca())  # ACF for 'q'\n",
+    "plt.subplot(122)\n",
+    "plot_pacf(diff.dropna(), ax=plt.gca())  # PACF for 'p'\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0a233dfa-98cd-436c-b4f6-9e09a2badc85",
+   "metadata": {},
+   "source": [
+    "We can finally see from the graps what values for p, d, and q we need to take for our model. p = 2, d = 0 and q = 2.  \n",
+    "We can also check if our assumptions are correct using the grid-search algorithm to calculate the best order for our model."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 79,
+   "id": "e62f23be-b1a1-4d93-a29d-0853d48a3346",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Best ARIMA order: (2, 0, 2)\n"
+     ]
+    }
+   ],
+   "source": [
+    "import warnings\n",
+    "from statsmodels.tsa.arima.model import ARIMA\n",
+    "warnings.filterwarnings(\"ignore\")\n",
+    "\n",
+    "def evaluate_arima_model(X, arima_order):\n",
+    "    model = ARIMA(X, order=arima_order)\n",
+    "    model_fit = model.fit()\n",
+    "    return model_fit.aic\n",
+    "\n",
+    "\n",
+    "def grid_search_arima(data, p_values, d_values, q_values):\n",
+    "    best_aic = float(\"inf\")\n",
+    "    best_order = None\n",
+    "    for p in p_values:\n",
+    "        for d in d_values:\n",
+    "            for q in q_values:\n",
+    "                try:\n",
+    "                    aic = evaluate_arima_model(data, (p,d,q))\n",
+    "                    if aic < best_aic:\n",
+    "                        best_aic = aic\n",
+    "                        best_order = (p, d, q)\n",
+    "                except:\n",
+    "                    continue\n",
+    "    return best_order\n",
+    "\n",
+    "\n",
+    "p_values = range(0, 3)\n",
+    "d_values = range(0, 2)\n",
+    "q_values = range(0, 3)\n",
+    "\n",
+    "\n",
+    "best_order = grid_search_arima(dff, p_values, d_values, q_values)\n",
+    "print(f'Best ARIMA order: {best_order}')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 80,
+   "id": "2d6f0d41-afbd-42cc-ba5c-e73d6081a0d5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Splitting the data into test and train.\n",
+    "train_size = int(len(df) * 0.8)\n",
+    "train, test = dff[:train_size], dff[train_size:]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 81,
+   "id": "739068ff-eb51-46ee-a121-f80beae74c7e",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "RMSE: 25.928171333401718\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Fitting the model\n",
+    "best_p, best_d, best_q = best_order\n",
+    "model = ARIMA(train, order=(best_p, best_d, best_q))\n",
+    "model_fit = model.fit()\n",
+    "\n",
+    "\n",
+    "predictions = model_fit.forecast(steps=len(test))\n",
+    "\n",
+    "\n",
+    "mse = mean_squared_error(test, predictions)\n",
+    "rmse = np.sqrt(mse)\n",
+    "print(f'RMSE: {rmse}')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2fb965c9-43bf-49f3-843e-cf7ff0ec6884",
+   "metadata": {},
+   "source": [
+    "Output the values at different times of day to check our prediction"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 93,
+   "id": "b10b3dbb-b277-48ef-8d11-672c432141be",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2006-10-20 00:00:00     0.242440\n",
+      "2006-10-20 08:20:00    15.077833\n",
+      "2006-10-20 16:40:00    20.586042\n",
+      "2006-10-21 01:00:00    22.638099\n",
+      "2006-10-21 09:20:00    23.402583\n",
+      "2006-10-21 17:40:00    23.687387\n",
+      "2006-10-22 02:00:00    23.793490\n",
+      "2006-10-22 10:20:00    23.833018\n",
+      "2006-10-22 18:40:00    23.847744\n",
+      "2006-10-23 03:00:00    23.853230\n",
+      "2006-10-23 11:20:00    23.855273\n",
+      "2006-10-23 19:40:00    23.856035\n",
+      "2006-10-24 04:00:00    23.856319\n",
+      "2006-10-24 12:20:00    23.856424\n",
+      "2006-10-24 20:40:00    23.856464\n",
+      "2006-10-25 05:00:00    23.856478\n",
+      "2006-10-25 13:20:00    23.856484\n",
+      "2006-10-25 21:40:00    23.856486\n",
+      "2006-10-26 06:00:00    23.856487\n",
+      "2006-10-26 14:20:00    23.856487\n",
+      "2006-10-26 22:40:00    23.856487\n",
+      "2006-10-27 07:00:00    23.856487\n",
+      "2006-10-27 15:20:00    23.856487\n",
+      "2006-10-27 23:40:00    23.856487\n",
+      "2006-10-28 08:00:00    23.856487\n",
+      "2006-10-28 16:20:00    23.856487\n",
+      "2006-10-29 00:40:00    23.856487\n",
+      "2006-10-29 09:00:00    23.856487\n",
+      "2006-10-29 17:20:00    23.856487\n",
+      "2006-10-30 01:40:00    23.856487\n",
+      "2006-10-30 10:00:00    23.856487\n",
+      "2006-10-30 18:20:00    23.856487\n",
+      "2006-10-31 02:40:00    23.856487\n",
+      "2006-10-31 11:00:00    23.856487\n",
+      "2006-10-31 19:20:00    23.856487\n",
+      "2006-11-01 03:40:00    23.856487\n",
+      "2006-11-01 12:00:00    23.856487\n",
+      "2006-11-01 20:20:00    23.856487\n",
+      "2006-11-02 04:40:00    23.856487\n",
+      "2006-11-02 13:00:00    23.856487\n",
+      "2006-11-02 21:20:00    23.856487\n",
+      "2006-11-03 05:40:00    23.856487\n",
+      "2006-11-03 14:00:00    23.856487\n",
+      "2006-11-03 22:20:00    23.856487\n",
+      "2006-11-04 06:40:00    23.856487\n",
+      "2006-11-04 15:00:00    23.856487\n",
+      "2006-11-04 23:20:00    23.856487\n",
+      "2006-11-05 07:40:00    23.856487\n",
+      "2006-11-05 16:00:00    23.856487\n",
+      "2006-11-06 00:20:00    23.856487\n",
+      "2006-11-06 08:40:00    23.856487\n",
+      "2006-11-06 17:00:00    23.856487\n",
+      "2006-11-07 01:20:00    23.856487\n",
+      "2006-11-07 09:40:00    23.856487\n",
+      "2006-11-07 18:00:00    23.856487\n",
+      "2006-11-08 02:20:00    23.856487\n",
+      "2006-11-08 10:40:00    23.856487\n",
+      "2006-11-08 19:00:00    23.856487\n",
+      "2006-11-09 03:20:00    23.856487\n",
+      "2006-11-09 11:40:00    23.856487\n",
+      "2006-11-09 20:00:00    23.856487\n",
+      "2006-11-10 04:20:00    23.856487\n",
+      "2006-11-10 12:40:00    23.856487\n",
+      "2006-11-10 21:00:00    23.856487\n",
+      "2006-11-11 05:20:00    23.856487\n",
+      "2006-11-11 13:40:00    23.856487\n",
+      "2006-11-11 22:00:00    23.856487\n",
+      "2006-11-12 06:20:00    23.856487\n",
+      "2006-11-12 14:40:00    23.856487\n",
+      "2006-11-12 23:00:00    23.856487\n",
+      "2006-11-13 07:20:00    23.856487\n",
+      "2006-11-13 15:40:00    23.856487\n",
+      "2006-11-14 00:00:00    23.856487\n",
+      "2006-11-14 08:20:00    23.856487\n",
+      "2006-11-14 16:40:00    23.856487\n",
+      "2006-11-15 01:00:00    23.856487\n",
+      "2006-11-15 09:20:00    23.856487\n",
+      "2006-11-15 17:40:00    23.856487\n",
+      "2006-11-16 02:00:00    23.856487\n",
+      "2006-11-16 10:20:00    23.856487\n",
+      "2006-11-16 18:40:00    23.856487\n",
+      "2006-11-17 03:00:00    23.856487\n",
+      "2006-11-17 11:20:00    23.856487\n",
+      "2006-11-17 19:40:00    23.856487\n",
+      "2006-11-18 04:00:00    23.856487\n",
+      "2006-11-18 12:20:00    23.856487\n",
+      "2006-11-18 20:40:00    23.856487\n",
+      "2006-11-19 05:00:00    23.856487\n",
+      "2006-11-19 13:20:00    23.856487\n",
+      "2006-11-19 21:40:00    23.856487\n",
+      "2006-11-20 06:00:00    23.856487\n",
+      "2006-11-20 14:20:00    23.856487\n",
+      "2006-11-20 22:40:00    23.856487\n",
+      "2006-11-21 07:00:00    23.856487\n",
+      "2006-11-21 15:20:00    23.856487\n",
+      "2006-11-21 23:40:00    23.856487\n",
+      "2006-11-22 08:00:00    23.856487\n",
+      "2006-11-22 16:20:00    23.856487\n",
+      "2006-11-23 00:40:00    23.856487\n",
+      "2006-11-23 09:00:00    23.856487\n",
+      "2006-11-23 17:20:00    23.856487\n",
+      "2006-11-24 01:40:00    23.856487\n",
+      "2006-11-24 10:00:00    23.856487\n",
+      "2006-11-24 18:20:00    23.856487\n",
+      "2006-11-25 02:40:00    23.856487\n",
+      "2006-11-25 11:00:00    23.856487\n",
+      "2006-11-25 19:20:00    23.856487\n",
+      "2006-11-26 03:40:00    23.856487\n",
+      "2006-11-26 12:00:00    23.856487\n",
+      "2006-11-26 20:20:00    23.856487\n",
+      "2006-11-27 04:40:00    23.856487\n",
+      "2006-11-27 13:00:00    23.856487\n",
+      "2006-11-27 21:20:00    23.856487\n",
+      "2006-11-28 05:40:00    23.856487\n",
+      "2006-11-28 14:00:00    23.856487\n",
+      "2006-11-28 22:20:00    23.856487\n",
+      "2006-11-29 06:40:00    23.856487\n",
+      "2006-11-29 15:00:00    23.856487\n",
+      "2006-11-29 23:20:00    23.856487\n",
+      "2006-11-30 07:40:00    23.856487\n",
+      "2006-11-30 16:00:00    23.856487\n",
+      "2006-12-01 00:20:00    23.856487\n",
+      "2006-12-01 08:40:00    23.856487\n",
+      "2006-12-01 17:00:00    23.856487\n",
+      "2006-12-02 01:20:00    23.856487\n",
+      "2006-12-02 09:40:00    23.856487\n",
+      "2006-12-02 18:00:00    23.856487\n",
+      "2006-12-03 02:20:00    23.856487\n",
+      "2006-12-03 10:40:00    23.856487\n",
+      "2006-12-03 19:00:00    23.856487\n",
+      "2006-12-04 03:20:00    23.856487\n",
+      "2006-12-04 11:40:00    23.856487\n",
+      "2006-12-04 20:00:00    23.856487\n",
+      "2006-12-05 04:20:00    23.856487\n",
+      "2006-12-05 12:40:00    23.856487\n",
+      "2006-12-05 21:00:00    23.856487\n",
+      "2006-12-06 05:20:00    23.856487\n",
+      "2006-12-06 13:40:00    23.856487\n",
+      "2006-12-06 22:00:00    23.856487\n",
+      "2006-12-07 06:20:00    23.856487\n",
+      "2006-12-07 14:40:00    23.856487\n",
+      "2006-12-07 23:00:00    23.856487\n",
+      "2006-12-08 07:20:00    23.856487\n",
+      "2006-12-08 15:40:00    23.856487\n",
+      "2006-12-09 00:00:00    23.856487\n",
+      "2006-12-09 08:20:00    23.856487\n",
+      "2006-12-09 16:40:00    23.856487\n",
+      "2006-12-10 01:00:00    23.856487\n",
+      "2006-12-10 09:20:00    23.856487\n",
+      "2006-12-10 17:40:00    23.856487\n",
+      "2006-12-11 02:00:00    23.856487\n",
+      "2006-12-11 10:20:00    23.856487\n",
+      "2006-12-11 18:40:00    23.856487\n",
+      "2006-12-12 03:00:00    23.856487\n",
+      "2006-12-12 11:20:00    23.856487\n",
+      "2006-12-12 19:40:00    23.856487\n",
+      "2006-12-13 04:00:00    23.856487\n",
+      "2006-12-13 12:20:00    23.856487\n",
+      "2006-12-13 20:40:00    23.856487\n",
+      "2006-12-14 05:00:00    23.856487\n",
+      "2006-12-14 13:20:00    23.856487\n",
+      "2006-12-14 21:40:00    23.856487\n",
+      "2006-12-15 06:00:00    23.856487\n",
+      "2006-12-15 14:20:00    23.856487\n",
+      "2006-12-15 22:40:00    23.856487\n",
+      "2006-12-16 07:00:00    23.856487\n",
+      "2006-12-16 15:20:00    23.856487\n",
+      "2006-12-16 23:40:00    23.856487\n",
+      "2006-12-17 08:00:00    23.856487\n",
+      "2006-12-17 16:20:00    23.856487\n",
+      "2006-12-18 00:40:00    23.856487\n",
+      "2006-12-18 09:00:00    23.856487\n",
+      "2006-12-18 17:20:00    23.856487\n",
+      "2006-12-19 01:40:00    23.856487\n",
+      "2006-12-19 10:00:00    23.856487\n",
+      "2006-12-19 18:20:00    23.856487\n",
+      "2006-12-20 02:40:00    23.856487\n",
+      "2006-12-20 11:00:00    23.856487\n",
+      "2006-12-20 19:20:00    23.856487\n",
+      "2006-12-21 03:40:00    23.856487\n",
+      "2006-12-21 12:00:00    23.856487\n",
+      "2006-12-21 20:20:00    23.856487\n",
+      "2006-12-22 04:40:00    23.856487\n",
+      "2006-12-22 13:00:00    23.856487\n",
+      "2006-12-22 21:20:00    23.856487\n",
+      "2006-12-23 05:40:00    23.856487\n",
+      "2006-12-23 14:00:00    23.856487\n",
+      "2006-12-23 22:20:00    23.856487\n",
+      "2006-12-24 06:40:00    23.856487\n",
+      "2006-12-24 15:00:00    23.856487\n",
+      "2006-12-24 23:20:00    23.856487\n",
+      "2006-12-25 07:40:00    23.856487\n",
+      "2006-12-25 16:00:00    23.856487\n",
+      "2006-12-26 00:20:00    23.856487\n",
+      "2006-12-26 08:40:00    23.856487\n",
+      "2006-12-26 17:00:00    23.856487\n",
+      "2006-12-27 01:20:00    23.856487\n",
+      "2006-12-27 09:40:00    23.856487\n",
+      "2006-12-27 18:00:00    23.856487\n",
+      "2006-12-28 02:20:00    23.856487\n",
+      "2006-12-28 10:40:00    23.856487\n",
+      "2006-12-28 19:00:00    23.856487\n",
+      "2006-12-29 03:20:00    23.856487\n",
+      "2006-12-29 11:40:00    23.856487\n",
+      "2006-12-29 20:00:00    23.856487\n",
+      "2006-12-30 04:20:00    23.856487\n",
+      "2006-12-30 12:40:00    23.856487\n",
+      "2006-12-30 21:00:00    23.856487\n",
+      "2006-12-31 05:20:00    23.856487\n",
+      "2006-12-31 13:40:00    23.856487\n",
+      "2006-12-31 22:00:00    23.856487\n",
+      "Freq: 500T, Name: predicted_mean, dtype: float64\n",
+      "Test set length: 21024, Predictions length: 21024\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(predictions[:21024:100])\n",
+    "print(f\"Test set length: {len(test)}, Predictions length: {len(predictions)}\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 95,
+   "id": "ece55e29-1f7e-48cc-aaa5-9814a1b46e2a",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Plot\n",
+    "plt.figure(figsize=(10,6))\n",
+    "plt.plot(train.index, train, label='Train Data', color='blue')\n",
+    "plt.plot(test.index, test, label='Test Data', color='green')\n",
+    "plt.plot(test.index, predictions, label='Predictions', color='red', linestyle='--')\n",
+    "plt.legend()\n",
+    "plt.xlabel('Datetime')\n",
+    "plt.ylabel('Power (MW)')\n",
+    "plt.title('ARIMA Model Predictions vs Actual')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "de75ecb8-396f-49b1-8d48-eb7c26bab03a",
+   "metadata": {},
+   "source": [
+    "We can see from our data and the plot, our prediction sharply increases and peaks at around 23, both for the daytime and the night time, which has a very poor accuracy."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 85,
+   "id": "774bc0a4-b215-490d-b722-7e779b0e7633",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Forecast next 100 values\n",
+    "future_steps = 100\n",
+    "forecast = model_fit.forecast(steps=future_steps)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 86,
+   "id": "2675eae6-935f-48a4-9fa7-78dc2d176679",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Plot\n",
+    "plt.figure(figsize=(10,6))\n",
+    "plt.plot(df.index, dff, label='Original Data')  # Replace 'Value' with correct column name\n",
+    "plt.plot(pd.date_range(df.index[-1], periods=future_steps, freq='D'), forecast, label='Forecast', color='green')\n",
+    "plt.legend()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "db72f0e9-5499-4c2b-8da9-2cf10ab01f9e",
+   "metadata": {},
+   "source": [
+    "ARIMA yeilded a poor prediction potentially due to our data being highly seasonal. So we try to use a model that is known for handing seasonal data effectively."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c10951f7-b0a3-494b-b67c-0d7b04f3ee3a",
+   "metadata": {},
+   "source": [
+    "## Prophet\n",
+    "The Prophet model, developed by Meta, is a robust and user-friendly tool for time series forecasting. It is particularly well-suited for data with strong seasonal patterns and missing values, as well as scenarios where the data may have outliers or trend changes. Below is an overview of the Prophet model and its components."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 113,
+   "id": "ab65e193-bcc2-414e-b84a-f16d783ac2e4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from prophet import Prophet"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 100,
+   "id": "4a4a9332-548c-4129-abb5-575c48b9db8c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "file_path = \"ms-pv-2006/Actual_30.25_-89.45_2006_UPV_118MW_5_Min.csv\"\n",
+    "data = pd.read_csv(file_path)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 102,
+   "id": "658e925f-349d-4940-af3b-d1e2fc99d5d4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data['LocalTime'] = pd.to_datetime(data['LocalTime'], format='%m/%d/%y %H:%M')\n",
+    "data = data.rename(columns={'LocalTime': 'ds', 'Power(MW)': 'y'})"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1f4df237-5c71-4d24-9105-af38563a427c",
+   "metadata": {},
+   "source": [
+    "Fill in missing values, and resample the data into hours for easier usage."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 104,
+   "id": "7f2f27e3-d88d-423c-b9c2-8cb3bd9ae01a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "if data['y'].isnull().sum() > 0:\n",
+    "    data['y'].fillna(method='ffill', inplace=True)\n",
+    "\n",
+    "data_hourly = data.resample('H', on='ds').mean().reset_index()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 129,
+   "id": "7d27acf3-6d86-4d36-8d79-3a1336656a53",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "split_index = int(len(data_hourly) * 0.8)\n",
+    "train_data = data_hourly[:split_index]\n",
+    "test_data = data_hourly[split_index:]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 130,
+   "id": "9023d002-d99d-42d3-8976-2c461d41eb63",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "08:21:11 - cmdstanpy - INFO - Chain [1] start processing\n",
+      "08:21:11 - cmdstanpy - INFO - Chain [1] done processing\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<prophet.forecaster.Prophet at 0x163d351d0>"
+      ]
+     },
+     "execution_count": 130,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Fit the model\n",
+    "model = Prophet(yearly_seasonality=True, daily_seasonality=True, weekly_seasonality=True)\n",
+    "model.fit(train_data)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 133,
+   "id": "535d8000-1fe0-4d03-b839-652a2af700f8",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Make future predictions\n",
+    "future = model.make_future_dataframe(periods=24*30, freq='H')\n",
+    "forecast = model.predict(future)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 137,
+   "id": "42141bf1-5de2-4754-acb1-4247480697a6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "test_forecast = forecast.merge(test_data, on='ds', how='right')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 139,
+   "id": "109d6a2a-15a8-45ed-aec0-1c55f1d25e5a",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(12, 6))\n",
+    "plt.plot(test_data['ds'], test_data['y'], label='Test Data (Actual)', color='blue', alpha=0.6)\n",
+    "plt.plot(test_forecast['ds'], test_forecast['yhat'], label='Predicted (Test)', color='orange', alpha=0.8)\n",
+    "plt.fill_between(test_forecast['ds'], test_forecast['yhat_lower'], test_forecast['yhat_upper'], color='orange', alpha=0.2, label='Uncertainty Interval')\n",
+    "plt.title(\"Test Data Accuracy (Prediction)\")\n",
+    "plt.xlabel(\"Date\")\n",
+    "plt.ylabel(\"Power (MW)\")\n",
+    "plt.legend()\n",
+    "plt.grid()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 141,
+   "id": "1e2d23a8-ba19-4252-90e6-dc9e90ec7040",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1400x700 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(14, 7))\n",
+    "plt.plot(data['ds'], data['y'], label='Historical Data', color='black', alpha=0.6)\n",
+    "plt.plot(forecast['ds'], forecast['yhat'], label='Forecasted Data', color='green')\n",
+    "plt.fill_between(forecast['ds'], forecast['yhat_lower'], forecast['yhat_upper'], color='green', alpha=0.2, label='Uncertainty Interval')\n",
+    "plt.title(\"Full Forecast with Historical Data\")\n",
+    "plt.xlabel(\"Date\")\n",
+    "plt.ylabel(\"Power (MW)\")\n",
+    "plt.legend()\n",
+    "plt.grid()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 147,
+   "id": "62f2634c-1e0b-47f1-a007-5768b83da34d",
+   "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>ds</th>\n",
+       "      <th>yhat</th>\n",
+       "      <th>yhat_lower</th>\n",
+       "      <th>yhat_upper</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2006-01-01 00:00:00</td>\n",
+       "      <td>-6.660876</td>\n",
+       "      <td>-22.750358</td>\n",
+       "      <td>10.110384</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>70</th>\n",
+       "      <td>2006-01-03 22:00:00</td>\n",
+       "      <td>-4.471750</td>\n",
+       "      <td>-20.434145</td>\n",
+       "      <td>12.930984</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>140</th>\n",
+       "      <td>2006-01-06 20:00:00</td>\n",
+       "      <td>-6.591656</td>\n",
+       "      <td>-23.092524</td>\n",
+       "      <td>9.216643</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>210</th>\n",
+       "      <td>2006-01-09 18:00:00</td>\n",
+       "      <td>-5.583852</td>\n",
+       "      <td>-21.093364</td>\n",
+       "      <td>11.779575</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>280</th>\n",
+       "      <td>2006-01-12 16:00:00</td>\n",
+       "      <td>26.848389</td>\n",
+       "      <td>10.180172</td>\n",
+       "      <td>42.541769</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>350</th>\n",
+       "      <td>2006-01-15 14:00:00</td>\n",
+       "      <td>48.078742</td>\n",
+       "      <td>30.417269</td>\n",
+       "      <td>64.456566</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>420</th>\n",
+       "      <td>2006-01-18 12:00:00</td>\n",
+       "      <td>49.432367</td>\n",
+       "      <td>33.028048</td>\n",
+       "      <td>65.461447</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>490</th>\n",
+       "      <td>2006-01-21 10:00:00</td>\n",
+       "      <td>53.029747</td>\n",
+       "      <td>36.039592</td>\n",
+       "      <td>69.250293</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>560</th>\n",
+       "      <td>2006-01-24 08:00:00</td>\n",
+       "      <td>45.396757</td>\n",
+       "      <td>27.851761</td>\n",
+       "      <td>62.647031</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>630</th>\n",
+       "      <td>2006-01-27 06:00:00</td>\n",
+       "      <td>10.706168</td>\n",
+       "      <td>-6.326511</td>\n",
+       "      <td>27.131134</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>700</th>\n",
+       "      <td>2006-01-30 04:00:00</td>\n",
+       "      <td>-8.955537</td>\n",
+       "      <td>-26.481018</td>\n",
+       "      <td>7.931619</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>770</th>\n",
+       "      <td>2006-02-02 02:00:00</td>\n",
+       "      <td>-1.169547</td>\n",
+       "      <td>-17.318344</td>\n",
+       "      <td>15.700383</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>840</th>\n",
+       "      <td>2006-02-05 00:00:00</td>\n",
+       "      <td>-4.957107</td>\n",
+       "      <td>-21.801086</td>\n",
+       "      <td>10.212884</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>910</th>\n",
+       "      <td>2006-02-07 22:00:00</td>\n",
+       "      <td>-3.306371</td>\n",
+       "      <td>-19.174984</td>\n",
+       "      <td>12.135008</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>980</th>\n",
+       "      <td>2006-02-10 20:00:00</td>\n",
+       "      <td>-5.103212</td>\n",
+       "      <td>-20.942585</td>\n",
+       "      <td>11.446506</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1050</th>\n",
+       "      <td>2006-02-13 18:00:00</td>\n",
+       "      <td>-3.319481</td>\n",
+       "      <td>-20.377083</td>\n",
+       "      <td>13.414937</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1120</th>\n",
+       "      <td>2006-02-16 16:00:00</td>\n",
+       "      <td>29.978496</td>\n",
+       "      <td>14.222965</td>\n",
+       "      <td>45.789575</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1190</th>\n",
+       "      <td>2006-02-19 14:00:00</td>\n",
+       "      <td>51.900913</td>\n",
+       "      <td>34.426162</td>\n",
+       "      <td>67.224141</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1260</th>\n",
+       "      <td>2006-02-22 12:00:00</td>\n",
+       "      <td>53.634245</td>\n",
+       "      <td>37.155433</td>\n",
+       "      <td>70.474255</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1330</th>\n",
+       "      <td>2006-02-25 10:00:00</td>\n",
+       "      <td>57.281995</td>\n",
+       "      <td>38.240751</td>\n",
+       "      <td>72.743221</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1400</th>\n",
+       "      <td>2006-02-28 08:00:00</td>\n",
+       "      <td>49.449229</td>\n",
+       "      <td>32.520951</td>\n",
+       "      <td>65.507015</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1470</th>\n",
+       "      <td>2006-03-03 06:00:00</td>\n",
+       "      <td>14.445275</td>\n",
+       "      <td>-1.492285</td>\n",
+       "      <td>30.782600</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1540</th>\n",
+       "      <td>2006-03-06 04:00:00</td>\n",
+       "      <td>-5.491403</td>\n",
+       "      <td>-23.078118</td>\n",
+       "      <td>10.064871</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1610</th>\n",
+       "      <td>2006-03-09 02:00:00</td>\n",
+       "      <td>2.189271</td>\n",
+       "      <td>-13.388507</td>\n",
+       "      <td>18.117180</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1680</th>\n",
+       "      <td>2006-03-12 00:00:00</td>\n",
+       "      <td>-1.447833</td>\n",
+       "      <td>-16.811132</td>\n",
+       "      <td>16.725101</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1750</th>\n",
+       "      <td>2006-03-14 22:00:00</td>\n",
+       "      <td>0.639714</td>\n",
+       "      <td>-15.410641</td>\n",
+       "      <td>17.137453</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1820</th>\n",
+       "      <td>2006-03-17 20:00:00</td>\n",
+       "      <td>-0.456449</td>\n",
+       "      <td>-17.921164</td>\n",
+       "      <td>16.497264</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1890</th>\n",
+       "      <td>2006-03-20 18:00:00</td>\n",
+       "      <td>2.227889</td>\n",
+       "      <td>-14.250647</td>\n",
+       "      <td>18.349559</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1960</th>\n",
+       "      <td>2006-03-23 16:00:00</td>\n",
+       "      <td>36.536895</td>\n",
+       "      <td>19.996744</td>\n",
+       "      <td>52.055256</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2030</th>\n",
+       "      <td>2006-03-26 14:00:00</td>\n",
+       "      <td>59.481262</td>\n",
+       "      <td>43.757412</td>\n",
+       "      <td>76.181284</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2100</th>\n",
+       "      <td>2006-03-29 12:00:00</td>\n",
+       "      <td>62.150042</td>\n",
+       "      <td>45.842501</td>\n",
+       "      <td>79.112329</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2170</th>\n",
+       "      <td>2006-04-01 10:00:00</td>\n",
+       "      <td>66.558719</td>\n",
+       "      <td>49.859635</td>\n",
+       "      <td>82.531846</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2240</th>\n",
+       "      <td>2006-04-04 08:00:00</td>\n",
+       "      <td>59.236966</td>\n",
+       "      <td>42.929774</td>\n",
+       "      <td>75.420896</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2310</th>\n",
+       "      <td>2006-04-07 06:00:00</td>\n",
+       "      <td>24.432405</td>\n",
+       "      <td>7.907958</td>\n",
+       "      <td>41.050564</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2380</th>\n",
+       "      <td>2006-04-10 04:00:00</td>\n",
+       "      <td>4.336722</td>\n",
+       "      <td>-12.759125</td>\n",
+       "      <td>20.411653</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2450</th>\n",
+       "      <td>2006-04-13 02:00:00</td>\n",
+       "      <td>11.471269</td>\n",
+       "      <td>-4.123225</td>\n",
+       "      <td>28.426218</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2520</th>\n",
+       "      <td>2006-04-16 00:00:00</td>\n",
+       "      <td>6.895849</td>\n",
+       "      <td>-8.923801</td>\n",
+       "      <td>23.399733</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2590</th>\n",
+       "      <td>2006-04-18 22:00:00</td>\n",
+       "      <td>7.678540</td>\n",
+       "      <td>-7.693566</td>\n",
+       "      <td>24.193974</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2660</th>\n",
+       "      <td>2006-04-21 20:00:00</td>\n",
+       "      <td>4.973674</td>\n",
+       "      <td>-12.818946</td>\n",
+       "      <td>21.016784</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2730</th>\n",
+       "      <td>2006-04-24 18:00:00</td>\n",
+       "      <td>5.847979</td>\n",
+       "      <td>-9.640496</td>\n",
+       "      <td>23.176620</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2800</th>\n",
+       "      <td>2006-04-27 16:00:00</td>\n",
+       "      <td>38.284650</td>\n",
+       "      <td>22.077951</td>\n",
+       "      <td>54.891314</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2870</th>\n",
+       "      <td>2006-04-30 14:00:00</td>\n",
+       "      <td>59.459112</td>\n",
+       "      <td>41.714808</td>\n",
+       "      <td>76.288131</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2940</th>\n",
+       "      <td>2006-05-03 12:00:00</td>\n",
+       "      <td>60.632836</td>\n",
+       "      <td>44.606095</td>\n",
+       "      <td>76.459945</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3010</th>\n",
+       "      <td>2006-05-06 10:00:00</td>\n",
+       "      <td>63.978352</td>\n",
+       "      <td>47.058649</td>\n",
+       "      <td>80.435614</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3080</th>\n",
+       "      <td>2006-05-09 08:00:00</td>\n",
+       "      <td>56.142614</td>\n",
+       "      <td>40.417085</td>\n",
+       "      <td>72.736705</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3150</th>\n",
+       "      <td>2006-05-12 06:00:00</td>\n",
+       "      <td>21.429544</td>\n",
+       "      <td>5.630954</td>\n",
+       "      <td>38.138081</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3220</th>\n",
+       "      <td>2006-05-15 04:00:00</td>\n",
+       "      <td>2.012477</td>\n",
+       "      <td>-14.521246</td>\n",
+       "      <td>17.847723</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3290</th>\n",
+       "      <td>2006-05-18 02:00:00</td>\n",
+       "      <td>10.316870</td>\n",
+       "      <td>-5.856142</td>\n",
+       "      <td>27.745791</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3360</th>\n",
+       "      <td>2006-05-21 00:00:00</td>\n",
+       "      <td>7.238294</td>\n",
+       "      <td>-9.486637</td>\n",
+       "      <td>24.037323</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3430</th>\n",
+       "      <td>2006-05-23 22:00:00</td>\n",
+       "      <td>9.632660</td>\n",
+       "      <td>-7.158510</td>\n",
+       "      <td>26.625519</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3500</th>\n",
+       "      <td>2006-05-26 20:00:00</td>\n",
+       "      <td>8.422773</td>\n",
+       "      <td>-7.792200</td>\n",
+       "      <td>24.489356</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3570</th>\n",
+       "      <td>2006-05-29 18:00:00</td>\n",
+       "      <td>10.456598</td>\n",
+       "      <td>-6.697896</td>\n",
+       "      <td>26.781644</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3640</th>\n",
+       "      <td>2006-06-01 16:00:00</td>\n",
+       "      <td>43.541791</td>\n",
+       "      <td>27.998583</td>\n",
+       "      <td>59.238711</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3710</th>\n",
+       "      <td>2006-06-04 14:00:00</td>\n",
+       "      <td>64.745285</td>\n",
+       "      <td>47.938271</td>\n",
+       "      <td>80.792220</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3780</th>\n",
+       "      <td>2006-06-07 12:00:00</td>\n",
+       "      <td>65.300641</td>\n",
+       "      <td>48.548791</td>\n",
+       "      <td>81.726597</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3850</th>\n",
+       "      <td>2006-06-10 10:00:00</td>\n",
+       "      <td>67.434448</td>\n",
+       "      <td>49.740197</td>\n",
+       "      <td>83.514782</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3920</th>\n",
+       "      <td>2006-06-13 08:00:00</td>\n",
+       "      <td>57.919240</td>\n",
+       "      <td>40.599351</td>\n",
+       "      <td>75.674480</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3990</th>\n",
+       "      <td>2006-06-16 06:00:00</td>\n",
+       "      <td>21.235947</td>\n",
+       "      <td>4.761239</td>\n",
+       "      <td>37.188270</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4060</th>\n",
+       "      <td>2006-06-19 04:00:00</td>\n",
+       "      <td>-0.239763</td>\n",
+       "      <td>-16.146846</td>\n",
+       "      <td>15.256520</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4130</th>\n",
+       "      <td>2006-06-22 02:00:00</td>\n",
+       "      <td>6.117442</td>\n",
+       "      <td>-11.814817</td>\n",
+       "      <td>22.787204</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4200</th>\n",
+       "      <td>2006-06-25 00:00:00</td>\n",
+       "      <td>1.375292</td>\n",
+       "      <td>-16.176288</td>\n",
+       "      <td>17.526050</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4270</th>\n",
+       "      <td>2006-06-27 22:00:00</td>\n",
+       "      <td>2.514904</td>\n",
+       "      <td>-12.993391</td>\n",
+       "      <td>19.990966</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4340</th>\n",
+       "      <td>2006-06-30 20:00:00</td>\n",
+       "      <td>0.526303</td>\n",
+       "      <td>-16.087236</td>\n",
+       "      <td>17.328007</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4410</th>\n",
+       "      <td>2006-07-03 18:00:00</td>\n",
+       "      <td>2.264682</td>\n",
+       "      <td>-13.852350</td>\n",
+       "      <td>19.462584</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4480</th>\n",
+       "      <td>2006-07-06 16:00:00</td>\n",
+       "      <td>35.491320</td>\n",
+       "      <td>18.631052</td>\n",
+       "      <td>51.126972</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4550</th>\n",
+       "      <td>2006-07-09 14:00:00</td>\n",
+       "      <td>57.186227</td>\n",
+       "      <td>40.023823</td>\n",
+       "      <td>73.216557</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4620</th>\n",
+       "      <td>2006-07-12 12:00:00</td>\n",
+       "      <td>58.472707</td>\n",
+       "      <td>43.288722</td>\n",
+       "      <td>75.582853</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4690</th>\n",
+       "      <td>2006-07-15 10:00:00</td>\n",
+       "      <td>61.462312</td>\n",
+       "      <td>45.347202</td>\n",
+       "      <td>77.300313</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4760</th>\n",
+       "      <td>2006-07-18 08:00:00</td>\n",
+       "      <td>52.824829</td>\n",
+       "      <td>37.619673</td>\n",
+       "      <td>70.383776</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4830</th>\n",
+       "      <td>2006-07-21 06:00:00</td>\n",
+       "      <td>16.963982</td>\n",
+       "      <td>1.055636</td>\n",
+       "      <td>34.436212</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4900</th>\n",
+       "      <td>2006-07-24 04:00:00</td>\n",
+       "      <td>-3.788574</td>\n",
+       "      <td>-20.118710</td>\n",
+       "      <td>13.050399</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4970</th>\n",
+       "      <td>2006-07-27 02:00:00</td>\n",
+       "      <td>3.182870</td>\n",
+       "      <td>-13.709902</td>\n",
+       "      <td>19.350411</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5040</th>\n",
+       "      <td>2006-07-30 00:00:00</td>\n",
+       "      <td>-1.034385</td>\n",
+       "      <td>-16.916223</td>\n",
+       "      <td>15.218078</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5110</th>\n",
+       "      <td>2006-08-01 22:00:00</td>\n",
+       "      <td>0.579007</td>\n",
+       "      <td>-15.890097</td>\n",
+       "      <td>17.633973</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5180</th>\n",
+       "      <td>2006-08-04 20:00:00</td>\n",
+       "      <td>-0.943968</td>\n",
+       "      <td>-17.054027</td>\n",
+       "      <td>15.583537</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5250</th>\n",
+       "      <td>2006-08-07 18:00:00</td>\n",
+       "      <td>1.284895</td>\n",
+       "      <td>-15.803999</td>\n",
+       "      <td>17.196588</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5320</th>\n",
+       "      <td>2006-08-10 16:00:00</td>\n",
+       "      <td>35.037478</td>\n",
+       "      <td>17.915316</td>\n",
+       "      <td>50.380416</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5390</th>\n",
+       "      <td>2006-08-13 14:00:00</td>\n",
+       "      <td>57.274534</td>\n",
+       "      <td>40.932259</td>\n",
+       "      <td>74.150066</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5460</th>\n",
+       "      <td>2006-08-16 12:00:00</td>\n",
+       "      <td>59.069939</td>\n",
+       "      <td>42.573787</td>\n",
+       "      <td>74.023273</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5530</th>\n",
+       "      <td>2006-08-19 10:00:00</td>\n",
+       "      <td>62.463315</td>\n",
+       "      <td>46.398554</td>\n",
+       "      <td>78.893522</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5600</th>\n",
+       "      <td>2006-08-22 08:00:00</td>\n",
+       "      <td>54.044946</td>\n",
+       "      <td>36.939624</td>\n",
+       "      <td>69.462459</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5670</th>\n",
+       "      <td>2006-08-25 06:00:00</td>\n",
+       "      <td>18.151159</td>\n",
+       "      <td>1.224395</td>\n",
+       "      <td>35.580123</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5740</th>\n",
+       "      <td>2006-08-28 04:00:00</td>\n",
+       "      <td>-2.921147</td>\n",
+       "      <td>-19.097893</td>\n",
+       "      <td>13.233045</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5810</th>\n",
+       "      <td>2006-08-31 02:00:00</td>\n",
+       "      <td>3.458208</td>\n",
+       "      <td>-12.790379</td>\n",
+       "      <td>20.279114</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5880</th>\n",
+       "      <td>2006-09-03 00:00:00</td>\n",
+       "      <td>-1.551767</td>\n",
+       "      <td>-18.527974</td>\n",
+       "      <td>14.771765</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5950</th>\n",
+       "      <td>2006-09-05 22:00:00</td>\n",
+       "      <td>-0.806819</td>\n",
+       "      <td>-18.474351</td>\n",
+       "      <td>16.463044</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6020</th>\n",
+       "      <td>2006-09-08 20:00:00</td>\n",
+       "      <td>-3.113174</td>\n",
+       "      <td>-20.875553</td>\n",
+       "      <td>13.501805</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6090</th>\n",
+       "      <td>2006-09-11 18:00:00</td>\n",
+       "      <td>-1.414919</td>\n",
+       "      <td>-17.733688</td>\n",
+       "      <td>15.793966</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6160</th>\n",
+       "      <td>2006-09-14 16:00:00</td>\n",
+       "      <td>32.198431</td>\n",
+       "      <td>14.086079</td>\n",
+       "      <td>48.672372</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6230</th>\n",
+       "      <td>2006-09-17 14:00:00</td>\n",
+       "      <td>54.761082</td>\n",
+       "      <td>38.934607</td>\n",
+       "      <td>71.240624</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6300</th>\n",
+       "      <td>2006-09-20 12:00:00</td>\n",
+       "      <td>57.327318</td>\n",
+       "      <td>40.884525</td>\n",
+       "      <td>73.279141</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6370</th>\n",
+       "      <td>2006-09-23 10:00:00</td>\n",
+       "      <td>61.812079</td>\n",
+       "      <td>45.894284</td>\n",
+       "      <td>79.283204</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6440</th>\n",
+       "      <td>2006-09-26 08:00:00</td>\n",
+       "      <td>54.585042</td>\n",
+       "      <td>39.089264</td>\n",
+       "      <td>71.777155</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6510</th>\n",
+       "      <td>2006-09-29 06:00:00</td>\n",
+       "      <td>19.697815</td>\n",
+       "      <td>2.476546</td>\n",
+       "      <td>36.394583</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6580</th>\n",
+       "      <td>2006-10-02 04:00:00</td>\n",
+       "      <td>-0.850421</td>\n",
+       "      <td>-18.212875</td>\n",
+       "      <td>15.794655</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6650</th>\n",
+       "      <td>2006-10-05 02:00:00</td>\n",
+       "      <td>5.322073</td>\n",
+       "      <td>-11.641594</td>\n",
+       "      <td>21.948095</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6720</th>\n",
+       "      <td>2006-10-08 00:00:00</td>\n",
+       "      <td>-0.763205</td>\n",
+       "      <td>-16.639051</td>\n",
+       "      <td>16.842011</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6790</th>\n",
+       "      <td>2006-10-10 22:00:00</td>\n",
+       "      <td>-1.940860</td>\n",
+       "      <td>-19.157741</td>\n",
+       "      <td>14.036735</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6860</th>\n",
+       "      <td>2006-10-13 20:00:00</td>\n",
+       "      <td>-6.815772</td>\n",
+       "      <td>-22.630008</td>\n",
+       "      <td>9.805670</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6930</th>\n",
+       "      <td>2006-10-16 18:00:00</td>\n",
+       "      <td>-7.963373</td>\n",
+       "      <td>-23.717419</td>\n",
+       "      <td>7.865776</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                      ds       yhat  yhat_lower  yhat_upper\n",
+       "0    2006-01-01 00:00:00  -6.660876  -22.750358   10.110384\n",
+       "70   2006-01-03 22:00:00  -4.471750  -20.434145   12.930984\n",
+       "140  2006-01-06 20:00:00  -6.591656  -23.092524    9.216643\n",
+       "210  2006-01-09 18:00:00  -5.583852  -21.093364   11.779575\n",
+       "280  2006-01-12 16:00:00  26.848389   10.180172   42.541769\n",
+       "350  2006-01-15 14:00:00  48.078742   30.417269   64.456566\n",
+       "420  2006-01-18 12:00:00  49.432367   33.028048   65.461447\n",
+       "490  2006-01-21 10:00:00  53.029747   36.039592   69.250293\n",
+       "560  2006-01-24 08:00:00  45.396757   27.851761   62.647031\n",
+       "630  2006-01-27 06:00:00  10.706168   -6.326511   27.131134\n",
+       "700  2006-01-30 04:00:00  -8.955537  -26.481018    7.931619\n",
+       "770  2006-02-02 02:00:00  -1.169547  -17.318344   15.700383\n",
+       "840  2006-02-05 00:00:00  -4.957107  -21.801086   10.212884\n",
+       "910  2006-02-07 22:00:00  -3.306371  -19.174984   12.135008\n",
+       "980  2006-02-10 20:00:00  -5.103212  -20.942585   11.446506\n",
+       "1050 2006-02-13 18:00:00  -3.319481  -20.377083   13.414937\n",
+       "1120 2006-02-16 16:00:00  29.978496   14.222965   45.789575\n",
+       "1190 2006-02-19 14:00:00  51.900913   34.426162   67.224141\n",
+       "1260 2006-02-22 12:00:00  53.634245   37.155433   70.474255\n",
+       "1330 2006-02-25 10:00:00  57.281995   38.240751   72.743221\n",
+       "1400 2006-02-28 08:00:00  49.449229   32.520951   65.507015\n",
+       "1470 2006-03-03 06:00:00  14.445275   -1.492285   30.782600\n",
+       "1540 2006-03-06 04:00:00  -5.491403  -23.078118   10.064871\n",
+       "1610 2006-03-09 02:00:00   2.189271  -13.388507   18.117180\n",
+       "1680 2006-03-12 00:00:00  -1.447833  -16.811132   16.725101\n",
+       "1750 2006-03-14 22:00:00   0.639714  -15.410641   17.137453\n",
+       "1820 2006-03-17 20:00:00  -0.456449  -17.921164   16.497264\n",
+       "1890 2006-03-20 18:00:00   2.227889  -14.250647   18.349559\n",
+       "1960 2006-03-23 16:00:00  36.536895   19.996744   52.055256\n",
+       "2030 2006-03-26 14:00:00  59.481262   43.757412   76.181284\n",
+       "2100 2006-03-29 12:00:00  62.150042   45.842501   79.112329\n",
+       "2170 2006-04-01 10:00:00  66.558719   49.859635   82.531846\n",
+       "2240 2006-04-04 08:00:00  59.236966   42.929774   75.420896\n",
+       "2310 2006-04-07 06:00:00  24.432405    7.907958   41.050564\n",
+       "2380 2006-04-10 04:00:00   4.336722  -12.759125   20.411653\n",
+       "2450 2006-04-13 02:00:00  11.471269   -4.123225   28.426218\n",
+       "2520 2006-04-16 00:00:00   6.895849   -8.923801   23.399733\n",
+       "2590 2006-04-18 22:00:00   7.678540   -7.693566   24.193974\n",
+       "2660 2006-04-21 20:00:00   4.973674  -12.818946   21.016784\n",
+       "2730 2006-04-24 18:00:00   5.847979   -9.640496   23.176620\n",
+       "2800 2006-04-27 16:00:00  38.284650   22.077951   54.891314\n",
+       "2870 2006-04-30 14:00:00  59.459112   41.714808   76.288131\n",
+       "2940 2006-05-03 12:00:00  60.632836   44.606095   76.459945\n",
+       "3010 2006-05-06 10:00:00  63.978352   47.058649   80.435614\n",
+       "3080 2006-05-09 08:00:00  56.142614   40.417085   72.736705\n",
+       "3150 2006-05-12 06:00:00  21.429544    5.630954   38.138081\n",
+       "3220 2006-05-15 04:00:00   2.012477  -14.521246   17.847723\n",
+       "3290 2006-05-18 02:00:00  10.316870   -5.856142   27.745791\n",
+       "3360 2006-05-21 00:00:00   7.238294   -9.486637   24.037323\n",
+       "3430 2006-05-23 22:00:00   9.632660   -7.158510   26.625519\n",
+       "3500 2006-05-26 20:00:00   8.422773   -7.792200   24.489356\n",
+       "3570 2006-05-29 18:00:00  10.456598   -6.697896   26.781644\n",
+       "3640 2006-06-01 16:00:00  43.541791   27.998583   59.238711\n",
+       "3710 2006-06-04 14:00:00  64.745285   47.938271   80.792220\n",
+       "3780 2006-06-07 12:00:00  65.300641   48.548791   81.726597\n",
+       "3850 2006-06-10 10:00:00  67.434448   49.740197   83.514782\n",
+       "3920 2006-06-13 08:00:00  57.919240   40.599351   75.674480\n",
+       "3990 2006-06-16 06:00:00  21.235947    4.761239   37.188270\n",
+       "4060 2006-06-19 04:00:00  -0.239763  -16.146846   15.256520\n",
+       "4130 2006-06-22 02:00:00   6.117442  -11.814817   22.787204\n",
+       "4200 2006-06-25 00:00:00   1.375292  -16.176288   17.526050\n",
+       "4270 2006-06-27 22:00:00   2.514904  -12.993391   19.990966\n",
+       "4340 2006-06-30 20:00:00   0.526303  -16.087236   17.328007\n",
+       "4410 2006-07-03 18:00:00   2.264682  -13.852350   19.462584\n",
+       "4480 2006-07-06 16:00:00  35.491320   18.631052   51.126972\n",
+       "4550 2006-07-09 14:00:00  57.186227   40.023823   73.216557\n",
+       "4620 2006-07-12 12:00:00  58.472707   43.288722   75.582853\n",
+       "4690 2006-07-15 10:00:00  61.462312   45.347202   77.300313\n",
+       "4760 2006-07-18 08:00:00  52.824829   37.619673   70.383776\n",
+       "4830 2006-07-21 06:00:00  16.963982    1.055636   34.436212\n",
+       "4900 2006-07-24 04:00:00  -3.788574  -20.118710   13.050399\n",
+       "4970 2006-07-27 02:00:00   3.182870  -13.709902   19.350411\n",
+       "5040 2006-07-30 00:00:00  -1.034385  -16.916223   15.218078\n",
+       "5110 2006-08-01 22:00:00   0.579007  -15.890097   17.633973\n",
+       "5180 2006-08-04 20:00:00  -0.943968  -17.054027   15.583537\n",
+       "5250 2006-08-07 18:00:00   1.284895  -15.803999   17.196588\n",
+       "5320 2006-08-10 16:00:00  35.037478   17.915316   50.380416\n",
+       "5390 2006-08-13 14:00:00  57.274534   40.932259   74.150066\n",
+       "5460 2006-08-16 12:00:00  59.069939   42.573787   74.023273\n",
+       "5530 2006-08-19 10:00:00  62.463315   46.398554   78.893522\n",
+       "5600 2006-08-22 08:00:00  54.044946   36.939624   69.462459\n",
+       "5670 2006-08-25 06:00:00  18.151159    1.224395   35.580123\n",
+       "5740 2006-08-28 04:00:00  -2.921147  -19.097893   13.233045\n",
+       "5810 2006-08-31 02:00:00   3.458208  -12.790379   20.279114\n",
+       "5880 2006-09-03 00:00:00  -1.551767  -18.527974   14.771765\n",
+       "5950 2006-09-05 22:00:00  -0.806819  -18.474351   16.463044\n",
+       "6020 2006-09-08 20:00:00  -3.113174  -20.875553   13.501805\n",
+       "6090 2006-09-11 18:00:00  -1.414919  -17.733688   15.793966\n",
+       "6160 2006-09-14 16:00:00  32.198431   14.086079   48.672372\n",
+       "6230 2006-09-17 14:00:00  54.761082   38.934607   71.240624\n",
+       "6300 2006-09-20 12:00:00  57.327318   40.884525   73.279141\n",
+       "6370 2006-09-23 10:00:00  61.812079   45.894284   79.283204\n",
+       "6440 2006-09-26 08:00:00  54.585042   39.089264   71.777155\n",
+       "6510 2006-09-29 06:00:00  19.697815    2.476546   36.394583\n",
+       "6580 2006-10-02 04:00:00  -0.850421  -18.212875   15.794655\n",
+       "6650 2006-10-05 02:00:00   5.322073  -11.641594   21.948095\n",
+       "6720 2006-10-08 00:00:00  -0.763205  -16.639051   16.842011\n",
+       "6790 2006-10-10 22:00:00  -1.940860  -19.157741   14.036735\n",
+       "6860 2006-10-13 20:00:00  -6.815772  -22.630008    9.805670\n",
+       "6930 2006-10-16 18:00:00  -7.963373  -23.717419    7.865776"
+      ]
+     },
+     "execution_count": 147,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "forecast[['ds', 'yhat', 'yhat_lower', 'yhat_upper']][:7000:70]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8fa63955-c023-4967-a4e4-dd708b9f169b",
+   "metadata": {},
+   "source": [
+    "#### Accuracy\n",
+    "\n",
+    "We can see that we have increased our accuracy greatly, using this model accounting for all the seasonality, but still it is predicting values to be less than 0 as well, which can never happen in our model."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 121,
+   "id": "57a24a5b-dd6c-4185-9146-774f067fd08e",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 900x1200 with 4 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "model.plot_components(forecast)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "31981288-ef4b-455e-ba6d-5a9405904687",
+   "metadata": {},
+   "source": [
+    "These plots reveal the seasonality patterns in our forecasted data, highlighting the underlying trends of the data.  \n",
+    "Until now we have not taken account of the seasonality of the data before forecasting and have let the model take care of it by itself. We now try to take care of the seasonality of the data by ourselves."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "088cbd50-9911-45e5-9874-e77fb1bd21cb",
+   "metadata": {},
+   "source": [
+    "## LightGBM with feature engineering\n",
+    "**LightGBM (Light Gradient Boosting Machine)** is a powerful and efficient gradient boosting framework widely used for machine learning tasks.\n",
+    "\n",
+    "**Feature engineering** is the process of preparing and transforming raw data into features that better represent the underlying problem to improve the performance of a machine learning model. A feature is an individual measurable property or characteristic of a phenomenon being observed, often represented as a column in a dataset.  \n",
+    "The goal of feature engineering is to extract the most relevant information from the raw data, making it easier for the model to learn patterns and make predictions."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 159,
+   "id": "9b2c9af8-d7e0-44db-a65d-ff341f4d7605",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from sklearn.model_selection import train_test_split\n",
+    "import lightgbm as lgb\n",
+    "import matplotlib.pyplot as plt\n",
+    "from sklearn.metrics import mean_squared_error, mean_absolute_error"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 161,
+   "id": "82f403de-0e1e-4a2b-b063-2e1732ca2413",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Load dataset\n",
+    "file_path = \"ms-pv-2006/Actual_30.25_-89.45_2006_UPV_118MW_5_Min.csv\"\n",
+    "data = pd.read_csv(file_path)\n",
+    "data['LocalTime'] = pd.to_datetime(data['LocalTime'], format='%m/%d/%y %H:%M')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 163,
+   "id": "11f61ada-78a4-421b-aa31-182d95d0abc8",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Feature Engineering\n",
+    "data['hour'] = data['LocalTime'].dt.hour\n",
+    "data['day_of_week'] = data['LocalTime'].dt.dayofweek\n",
+    "data['month'] = data['LocalTime'].dt.month\n",
+    "data['is_daytime'] = ((data['hour'] >= 6) & (data['hour'] <= 18)).astype(int)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "87fc74b5-ff95-4a24-a9e9-1c0745defc7e",
+   "metadata": {},
+   "source": [
+    "Add the features: hour, day of the week, month and is_daytime as columns to the data."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 167,
+   "id": "f82bc922-a3a1-4a1a-aaaa-f9f5d214d341",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Define features and target variable\n",
+    "X = data[['hour', 'day_of_week', 'month', 'is_daytime']]\n",
+    "y = data['Power(MW)']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 169,
+   "id": "cb303c44-5d71-4249-bc10-dc02c77b08aa",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Train-Test Split\n",
+    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42, shuffle=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 171,
+   "id": "1d2c8574-b960-4015-b324-81af75489875",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# LightGBM Model Training\n",
+    "lgb_train = lgb.Dataset(X_train, y_train)\n",
+    "lgb_eval = lgb.Dataset(X_test, y_test, reference=lgb_train)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 173,
+   "id": "8ba0e55b-c141-4ca0-8df8-2f25215dc1e9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "params = {\n",
+    "    'objective': 'regression',\n",
+    "    'metric': 'rmse',\n",
+    "    'boosting_type': 'gbdt',\n",
+    "    'num_leaves': 31,\n",
+    "    'learning_rate': 0.05,\n",
+    "    'feature_fraction': 0.9\n",
+    "}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 175,
+   "id": "67950f23-2200-426f-bc08-637fc8f09779",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.001029 seconds.\n",
+      "You can set `force_row_wise=true` to remove the overhead.\n",
+      "And if memory is not enough, you can set `force_col_wise=true`.\n",
+      "[LightGBM] [Info] Total Bins 44\n",
+      "[LightGBM] [Info] Number of data points in the train set: 84096, number of used features: 4\n",
+      "[LightGBM] [Info] Start training from score 23.859394\n",
+      "Training until validation scores don't improve for 50 rounds\n",
+      "Early stopping, best iteration is:\n",
+      "[38]\tvalid_0's rmse: 15.1899\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Train the model with early stopping\n",
+    "model = lgb.train(\n",
+    "    params,\n",
+    "    lgb_train,\n",
+    "    valid_sets=[lgb_eval],  # Validation set\n",
+    "    num_boost_round=1000,\n",
+    "    callbacks=[\n",
+    "        lgb.early_stopping(stopping_rounds=50),  # Early stopping callback\n",
+    "        lgb.log_evaluation(period=100)          # Log evaluation progress every 100 iterations\n",
+    "    ]\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 177,
+   "id": "93b7ccf9-3aea-47b6-a1d2-f0a18a3f528e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Predictions\n",
+    "y_pred = model.predict(X_test, num_iteration=model.best_iteration)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 181,
+   "id": "3406b80b-f144-45d2-8876-cdbb6f461614",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Root Mean Squared Error (RMSE): 15.189919633723044\n",
+      "Mean Absolute Error (MAE): 10.479850535578153\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Evaluate the Model\n",
+    "rmse = np.sqrt(mean_squared_error(y_test, y_pred))\n",
+    "mae = mean_absolute_error(y_test, y_pred)\n",
+    "print(f\"Root Mean Squared Error (RMSE): {rmse}\")\n",
+    "print(f\"Mean Absolute Error (MAE): {mae}\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 183,
+   "id": "f0d794c3-2663-4239-933b-56d881ca4fb5",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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V9dSe+gBgNpvx8ccfQ6/XY/bs2V5v39tj5+zSSy/1utyfuro6+/eZmZle11F7u/vrg//uu+8CAC6//HKv+xg6dCi6d++OHTt2YN++fR7XX3jhhV5v/5hjjgEA7Nixw74s3L8zZ4Eeq7q6Ojz77LOYNWsWpk6dihNOOAHjx4/HbbfdBkCb45tK/Xu64oorkJaW5nG9+nf37bffoqGhweP6U089FZ07d/ZY7u2xIyIiouRhiPUAiIiIiMJVXl6OpUuXAvAM0adNm4b8/HyYTCYsWbIE06dPt1+3adMmAMCxxx4bvcH6MX/+fPz1r3/1OlGg6vDhw22+HUVRcMEFF+Af//gHXnvtNZf7/9prrwGQ4Zuza665BosWLcI999yDl156CaeeeipOOOEETJ48GR07dgx7LD/++KP9+/T0dAwYMADTp0/HzTffjNLSUo/1BwwY4HU/69atAwA0Nzfbw1t3zc3NAOTfi2rr1q1+99unTx8YDIagJxJU/6YGDhyI7OzsoLYJJF7umzuTyQSTyQQA0Ov1KCgowPjx4/HHP/4RZ511lsc4Bg4c6HU/gwYNAgAcOHAAtbW1yMnJASDD8KeeegrLly/HVVddhcOHD2P9+vU488wzkZGRgTFjxmDVqlVoaWlxCdTV8F297ebmZqSmprr87ztTTwo5P3bOfD1+/jj/7hsaGuz3ydmoUaPsJzdqa2vtv2dn6rK///3vuP/++73e1sGDBwHI8buHvs4nwpyVlJQAAOrr6z1uK9S/M2f+HqtffvkFp59+Ovbv3+9zHS2Ob6pAf3d9+vRBamoqzGYzfvvtNwwdOtTl+lAeOyIiIkoeDNGJiIgoYb3yyiuw2WwYOXIk+vXr53Jdamoqzj33XDzzzDN4+eWXXYK02tpaAEBeXl40h+vVihUrcMcdd0Cv12P+/Pk488wz0a1bN2RkZEBRFPz1r3/Ffffdh9bWVk1ub+bMmfjHP/6BN998Ew8//DD0ej3q6+vx0UcfQafT4fzzz3dZf/jw4VixYgXmzp2Lr776Ck8//TSefvppKIqCk08+GQsWLAgrbNy5c6dH9a0/vqp6a2pqAMjf6TfffON3H01NTfbv1SCsuLjY67o6nQ5FRUWorKwManyR+JuKl/vmbtasWVi4cGHA9dRxqOGjO+eTJXV1dfbAWQ3D1XB8xYoVEELYl0+YMAFff/01Vq9ejeOOOw7ffvstDAYDjj/+ePv+1MfObDYHfOzUgNidr785fzp16mT/fteuXR4BLSCPW6qVK1fihBNO8FhHHf9PP/0U8Dadf/cqX2PX6eQHkZ0/VRLu31kwt2e1WnHeeedh//79mD59Om699VYMGjQIeXl50Ov12L59O/r06aPZ8Q0I/HenKAqKi4tRXl7u8smBQPfF22NHREREyYPtXIiIiChhqa1cfv75Z4/2CIqi4JlnngEg27eoISfgqBY9cuSIZmNRFAWA74DFW9sAwBGo/eUvf8Ftt92GgQMHIjMz076/vXv3ajZGQIbiAwYMQGVlJZYtWwYAeO+999DU1ITJkyejrKzMY5tjjz0Wn332Gaqrq/Hpp5/i1ltvRefOnbFkyRKcfPLJmj6OocrKygIAjBs3DkLO9+PzsmvXLo/tqqqqvO7XZrPh0KFDQY8jEn9T8XLf2jp+tWrd3YEDB+zfO1dwd+zYEb169UJlZSW2bt3qUWnuHLL/9NNPqK+vx6hRo+y353zbnTp1CvjYaRmKFhUVoXfv3gCAr7/+Ouz9qOPftm1bwLFPmjSpTWMO9+8sGKtXr8b27dvRrVs3vPvuu5gwYQIKCwuh1+sBaH98AwL/3Qkh7P8bWn1qhIiIiNo/huhERESUkH755ResX78eiqKgtLTU5yU1NRVNTU1455137NuqbSTc+4L7o4bavqjVi76Cy+3bt3tdroZSzlW0zrTsFaxSW7a8+uqrLl/dW+K4y8rKwimnnIIHHngAmzdvRq9evVBeXo5PPvlE8zEGS23ZsGnTJr/tcNz17dsXgOxF78327dtDqo5V/6Y2btzotbrVm0B/U/Fy38KljmPjxo1er9+wYQMAWZHu3vbEuS/6ihUrkJubi+HDhwOQ/yspKSlYtmyZ137ogGzZkZKSgoqKCk1bhQTjvPPOAwA888wzIf3enKm/+/Xr12s2rkC3FerfWTDU49uoUaNgNBo9ro/E8S3Q3922bdtgNpuh1+t9tm4hIiIicscQnYiIiBKSWoU+YcIEVFZW+rz8+c9/dlkfgL1v8wsvvBB0wJaeng7AdzuDnj17ApCTznmr8n3uuef87te5Kle1ZMmSiIRMalj+7rvvYv/+/fj8889hNBoxY8aMoPeRkZGBIUOGAIDfXseR1qdPHwwePBiHDx/GSy+9FPR2U6dOBQC89dZbXn9fTzzxREjj6NWrFwYPHgyz2YxHHnkkqG0C/U3Fy30L1ymnnAIAeOyxx7xerz5O6nrO1FD8gw8+wJo1azB+/Hh7O43MzEyMHDkS3333HT7//HMArv3QAfn3ecopp8BmswX9+9DKddddh7y8PPz666+YO3duWPtQ/xcfeeSRiLcPCffvLBj+jm+tra1YsGBBwG19/X/4ov49Pfvss15b9ah/D+PGjQurZQ8RERElJ4boRERElHCsVqt9IsxLLrnE77oXX3wxAGDZsmX21gFnnXUWRo8eDZPJhOnTp2PLli0u26xduxZPPvmkyzI1JFdbS7grKCjAmDFj0NLSgptuusle6Wu1WvHAAw/gs88+87qdOpHfAw88gJ07d9qX//DDD5gzZw7S0tL83r9w9OrVC2PGjMGRI0dw2WWXwWKxYNq0aV77eV911VV444030NjY6LJ8xYoV+PLLLwEAI0eO1HyMoXjwwQehKAquueYaPPfccx4TZu7YsQP33Xcf3n33XfuyE088ESNGjEBjYyMuueQSVFdX269788038eSTT8JgCG36oHvvvRcAMG/ePDzyyCMu1d6NjY147rnn7BOQAkCPHj0AyIpZX59giJf7Fo6rrroKOTk5WLNmDW688UaYzWYAsp3MQw89hMWLFyMlJcV+osuZGop/9NFHsNlsHiH5xIkT0djYiC+++AI6nc7rhJj33HMPjEYj7r33XjzwwAMeYWxFRQX+85//4KmnntLqLgOQlfULFy6EXq/HvffeiwsuuMDr5KE7duzwGVpfeeWV6NmzJ5YuXYqLLroIFRUVLtfX19fjzTffxE033aTJmMP5OwvGscceC4PBgG+++cblvtbU1OCiiy7yGq6rAh1zfbnwwgvRtWtXHDhwALNnz3aZCPS///0vnn76aQDAbbfdFtJ+iYiIKMkJIiIiogTzySefCAAiLS1NHDlyJOD6I0aMEADE/Pnz7ct2794t+vXrJwAIAKJv375i1KhRorCwUAAQEydOdNnHihUrXNadMGGCmDhxovjkk0/s6yxdulQYDAYBQOTl5YnRo0eLwsJCYTAYxKOPPioAiG7durnst6amRvTs2VMAEKmpqWLIkCH2cQ0cOFDcdNNNAoCYO3euy3YvvviiACBmzZoV6sMnhBBiwYIF9vsDQLzxxhte1xs2bJgAIAwGgxgwYIAYM2aM6Natm327iy++OOjb3Llzp327nTt3BrVNsPfzscceE3q9XgAQ2dnZYtSoUWL06NGitLTUfptPPvmkyzbr168XBQUFAoBIT08Xo0ePtt+3q6++2v69+1gnTpwoAIilS5d6jGP+/PlCURQBQOTm5orRo0eLPn36iJSUFK/bTJkyxT7msWPHiokTJ4rzzz8/ZvfNn1mzZoX8N/f++++L1NRUAUDk5+eLY445RpSUlAgAQqfTiaefftrntl27drXfv++//97lusWLF9uvGzlypM99vPvuuyIjI8N+vBg+fLgYM2aM6NKli337W2+91WWbcB4bbxYvXiyKiorst1NSUiJGjhwphg8fLkpLS+1/J3l5eeKJJ57w2H7Tpk2iR48e9sdqwIABYuzYsaJv3772v4exY8e6bKP+jl588UWvY5o7d67X44kQ4f2dqcv9ufnmm+3rde3aVYwaNUqkp6eLlJQU8eSTT3o9LgohxN133y0ACL1eL0aMGCEmTpwoJk6cKCoqKoQQ8njr7VgthBCrVq0Subm5AoDIzMwUo0ePdvmd//Wvfw3psRGi7cdcIiIiSmysRCciIqKEo7ZmOeOMM5CbmxtwfbUa3bmlS9euXfHTTz9h/vz5GDlyJPbv349NmzahoKAAs2bNwj333OOyjxNOOAGvvvoqxowZg/LycqxYsQLLly9HZWWlfZ1Jkybhs88+w/jx42E2m7F161aMHDkSy5Ytw+mnn+51bDk5OVi5ciUuvfRS5OTkYMuWLTCbzbjpppvw3XffRWziu/PPP98+uV9WVhbOOOMMr+v9+9//xvXXX4+hQ4fi4MGDWLNmDQDZMuGDDz7QvP1DuK655hqsWbMGl19+OYqLi7FhwwZs27YNRUVFuPDCC/HWW2/h0ksvddlm0KBB+PHHHzFz5kxkZGRg/fr1yMnJwaOPPuqzBUkgt912G7799lucd955yMjIwNq1a1FbW4tjjjkG//jHPzyq9l999VXMnj0bOTk5+Omnn7B8+XKPXv3xct/CceaZZ+Knn37CRRddhLS0NKxZswZCCJx99tlYuXIl/vjHP/rcVm3pkpWV5fG4jR8/3v73694P3dnZZ5+NjRs34vrrr0f37t2xZcsWbNy4ERkZGTj77LOxaNGiiFUkT58+HTt37sR//vMfTJ06FXq9HuvXr8fWrVuRkZGBGTNm4LnnnsOePXtw1VVXeWzfv39/rF27Fg888ACOOeYYlJeXY82aNTCbzZg4cSL++c9/4vXXX9dsvOH8nQXjoYcewoIFC9C/f39UVlZi9+7dOOmkk/D111/j1FNP9bndbbfdhrlz56J3797YuHEjli9fjuXLl3tt0eJu7NixWLt2La688koUFRXh119/RX19PaZOnYrFixd7HN+JiIiIAlGEiHCTPSIiIiIiIiIiIiKiBMVKdCIiIiIiIiIiIiIiHxiiExERERERERERERH5wBCdiIiIiIiIiIiIiMgHhuhERERERERERERERD4wRCciIiIiIiIiIiIi8oEhOhERERERERERERGRD4ZYDyAabDYb9u/fj+zsbCiKEuvhEBEREREREREREVGMCSFQV1eHjh07QqfzXW+eFCH6/v370aVLl1gPg4iIiIiIiIiIiIjizN69e9G5c2ef1ydFiJ6dnQ1APhg5OTkxHk1s2Gw2VFVVobi42O9ZFSJqv3gcICKAxwIikngsICKAxwIikpL5WFBbW4suXbrY82NfkiJEV1u45OTkJHWI3tzcjJycnKT7ZyAiiccBIgJ4LCAiiccCIgJ4LCAiiccCBGwBnpyPChERERERERERERFREBiiExERERERERERERH5wBCdiIiIiIiIiIiIiMiHpOiJHiyr1YrW1tZYDyMibDYbWltb0dzc3G57G6Wmprbb+0ZERERERERERESxwRAdgBAClZWVOHLkSKyHEjFCCNhsNtTV1QVslJ+odDodevTogdTU1FgPhYiIiIiIiIiIiNoJhuiAPUAvKSlBRkZGuwyZhRCwWCwwGAzt8v7ZbDbs378fFRUV6Nq1a7u8j0RERERERERERBR9SR+iW61We4BeWFgY6+FETHsP0QGguLgY+/fvh8ViQUpKSqyHQ0RERERERERERO1A0jeQVnugZ2RkxHgk1FZqGxer1RrjkRAREREREREREVF7kfQhuqq9VmcnE/4OiYiIiIiIiIiISGsM0YmIiIiIiIiIiIiIfGCIThGhKAree++9WA+DiIiIiIiIiIiIqE0YorcD3377LfR6PU499dSQtuvevTsWLFgQmUERERERERERERERtQMM0duBF154AX/605+wcuVK7NmzJ9bDISIiIiIiIiIiImo3GKInuIaGBrz55pu46qqrcPrpp2PhwoUu13/wwQcYPXo00tPT0aFDB/z+978HAEyaNAm7d+/GjTfeCEVR7JNyzps3D8OHD3fZx4IFC9C9e3f7zz/88ANOPvlkFBUVITc3FxMnTsTPP/8cybtJREREREREREREFBMM0RPcG2+8gX79+qFfv364+OKL8eKLL0IIAQBYvHgxZsyYgdNOOw0///wzPv30U4waNQoA8O6776Jz5864++67UVFRgYqKiqBvs66uDrNmzcLXX3+NVatWoU+fPpg+fTrq6uoich+JiIiIiIiIiIiIYsUQ6wHEKyGAaGfC2dnA0YLwoD3//PO4+OKLAQCnnnoq6uvr8eWXX+Kkk07CfffdhwsuuAB33XUXhBCwWCz2EL2goAB6vR7Z2dkoKysL6TanTJni8vPTTz+N/Px8LF++HKeffnpod4CIiIiIiIiIiIgojjFE96GuDsjNje5t1tQAOTnBr79lyxasXr0a7777LgDAYDDg/PPPxwsvvICTTjoJa9aswRVXXKH5OE0mE/7+97/jq6++woEDB2C1WtHY2Mh+7ERERERERERERNTuMET3ITtbhtrRvs1QPP/887BYLOjUqZN9mRACKSkpqK6uRnp6eshj0Ol09nYwqtbWVpefZ8+ejaqqKixYsADdunWD0WjEcccdB7PZHPLtEREREREREREREcUzhug+KEpoVeHRZrFY8NJLL+Ff//oXpk6d6nLd73//e7zyyisYOnQovvzyS/zhD3/wuo/U1FRYrVaXZcXFxaisrIQQwj7Z6Jo1a1zW+frrr/HEE09g+vTpAIC9e/fi4MGDGt0zIiIiIiIiIiIiovjBED1BffTRR6iursZll12GXLe+M+eccw6ef/55/Pvf/8aJJ56IXr164fzzz0dzczM+//xz3HrrrQCA7t27Y8WKFbjgggtgNBpRVFSESZMmoaqqCg899BDOOeccfPrpp/jkk0+Q43RGoXfv3nj55ZcxevRo1NbW4i9/+UtYVe9EREREREREREQUHTYb8NRTwMknA336xHo0iUUX6wFQeJ5//nmcdNJJHgE6ICvR16xZg5ycHLz11lv44IMPMGLECJxyyilYvXq1fb27774bu3btQq9evVBcXAwAGDBgAJ544gk8/vjjGDZsGFavXo2bb77ZZf8vvPACqqurMWLECFxyySW47rrrUFJSEtk7TERERERERERERGHbuxe45hpg8GDgm29iPZrEogj3BtjtUG1tLXJzc1FTU+NSUQ0Azc3N2LlzJ3r06IG0tLQYjTDyhBCwWCwwGAz2Ni3tTbL8LonCZbPZYDKZUFJSAp2O51CJkhWPBUQE8FhARBKPBUTJ5fvvgbPOAvr3B/7wB+DSS+XyZD4W+MuNnSXXo0JERERERERERESUhCorgbIyICMDaGyM9WgSC0N0IiIiIiIiIiIionbuwAGG6OHixKJERERERERERERE7ZxaiW6zMUQPVcwr0S0WC/7617+iR48eSE9PR8+ePXH33XfDZrPZ1xFCYN68eejYsSPS09MxadIkbNiwIYajJiIiIiIiIiIiIkoclZVAaSkr0cMR8xD9wQcfxFNPPYXHHnsMmzZtwkMPPYR//OMfePTRR+3rPPTQQ3j44Yfx2GOP4YcffkBZWRlOPvlk1NXVxXDkRERERERERERERImBPdHDF/MQ/bvvvsPvfvc7nHbaaejevTvOOeccTJ06FT/++CMAWYW+YMEC3HnnnZgxYwYGDx6MRYsWobGxEa+++mqMR09EREREREREREQU/9QQPTMTaGiI9WgSS8x7oo8fPx5PPfUUtm7dir59+2Lt2rVYuXIlFixYAADYuXMnKisrMXXqVPs2RqMREydOxLfffosrr7zSY58tLS1oaWmx/1xbWwsAsNlsLm1i1GVCCPulPVPvX3u9n+rv0NvvmYgcxzv+fxAlNx4LiAjgsYCIJB4LiJJLZaWCkhKBnTuBhgYFNpvMCJP5WBDsfY55iH7rrbeipqYG/fv3h16vh9VqxX333YcLL7wQAFBZWQkAKC0tddmutLQUu3fv9rrP+fPn46677vJYXlVVhebmZpdlra2tsNlssFgssFgsWtyluCSEgNVqBQAoihLj0USGxWKBzWbDoUOHkJKSEuvhEMUdm82GmpoaCCGg08X8g0hEFCM8FhARwGMBEUk8FhAlDyGAysoSpKQcgtVqRHV1KkymIwCS+1gQbLvwmIfob7zxBv773//i1VdfxaBBg7BmzRrccMMN6NixI2bNmmVfzz34FUL4DINvv/123HTTTfafa2tr0aVLFxQXFyMnJ8dl3ebmZtTV1cFgMMBgiPnDEXHtOVw2GAzQ6XQoLCxEWlparIdDFHdsNhsURUFxcXHSPSkSkQOPBUQE8FhARBKPBUTJo64OaGrSYeDAQmzaBFitCkpKSgAk97Eg2Awx5qnxX/7yF9x222244IILAABDhgzB7t27MX/+fMyaNQtlZWUAZEV6hw4d7NuZTCaP6nSV0WiE0Wj0WK7T6Tz+EHQ6HRRFsV/aK+eTDqHez3nz5uG9997DmjVrAACzZ8/GkSNH8N5772k8Sv927dqFHj164JdffsHw4cM9rld/h95+z0Qk8X+EiAAeC4hI4rGAiAAeC4iShckEpKYCBQU6ZGUBTU2ATufICJP1WBDs/Y35o9LY2OgxWL1eb+9H06NHD5SVleHzzz+3X282m7F8+XIcf/zxUR1rvJk9e7Y9OE5JSUHPnj1x8803oyHCMwP85z//wcKFC4Nad9euXVAUxR7AU3I5dCjWIyAiIiIiolhpbubEdURE8UKdVFRRgIwMoLEx1iNKLDGvRD/jjDNw3333oWvXrhg0aBB++eUXPPzww5gzZw4AeRbkhhtuwP33348+ffqgT58+uP/++5GRkYGZM2fGePSxd+qpp+LFF19Ea2srvv76a1x++eVoaGjAk08+6bJea2urZpX2ubm5muyH2reWFqBLF2DPHqCoKNajISIiIiKiaHvoIWD/fuCpp2I9EiIiqqwE1KYeDNFDF/NK9EcffRTnnHMOrr76agwYMAA333wzrrzyStxzzz32dW655RbccMMNuPrqqzF69GiUl5djyZIlyM7OjuHI44PRaERZWRm6dOmCmTNn4qKLLsJ7772HefPmYfjw4XjhhRfQs2dPpKWlQQiBmpoa/PGPf0RJSQlycnIwZcoUrF271mWfDzzwAEpLS5GdnY3LLrvMYzLW2bNn46yzzrL/bLPZ8OCDD6J3794wGo3o2rUr7rvvPgDykwQAMGLECCiKgkmTJtm3e/HFFzFgwACkpaWhf//+eOKJJ1xuZ/Xq1RgxYgTS0tIwevRo/PLLLxo+chRpDQ3yo0GsRiciIiIiSk6VlcCOHbEeBRERAUBFBdCxo/yeIXroYl6Jnp2djQULFmDBggU+11EUBfPmzcO8efOiNq5ElZ6ejtbWVgDA9u3b8eabb+Kdd96xt8w5/fTTUVBQgI8//hi5ubl4+umnceKJJ2Lr1q0oKCjAm2++iblz5+Lxxx/HCSecgJdffhmPPPIIevbs6fM2b7/9djz77LP497//jfHjx6OiogKbN28GIIPwMWPG4IsvvsCgQYOQmpoKAHj22Wcxd+5cPPbYYxgxYgR++eUXXHHFFcjMzMSsWbPQ0NCA008/HVOmTMF///tf7Ny5E9dff32EHz3SknowrqmJ7TiIiIiIiCg2qquBvXtjPQoiIgLkJ4MYoocv5iF6XLO2ALYWx89KCmBIByxNgGh1LNcZAb0RsDQAwuq0PA3QpwKt9QBsjuX6DEBnAFprPffRBqtXr8arr76KE088EYDsHf/yyy+juLgYQgh8/vnnWLduHUwmk33i1X/+859477338Pbbb+OPf/wjFixYgDlz5uDyyy8HANx777344osvPKrRVXV1dfjPf/6Dxx57DLNmzQIA9OrVC+PHjwcAFBcXAwAKCwvtk8QCwD333IN//etfmDFjBgBZsb5x40Y8/fTTmDVrFl555RVYrVa88MILyMjIwKBBg7Bv3z5cddVVbXqMKHoYohMRERERJbcjR2SILoTswUtERJG3dSvQsydgcEt99+8H+vaV32dmMkQPVczbucS1DfOBt3Idl5/+JJf/9CfX5Rvmy+UrZrgu3/mSXL5krOvyyi/l8v919txHiD766CNkZWUhLS0Nxx13HCZMmIBHH30UANCtWzd7iA0AP//8M+rr61FYWIisrCz7ZefOnfjtt98AAJs2bcJxxx3nchvuPzvbtGkTWlpa7MF9MKqqqrB3715cdtllLuO49957XcYxbNgwZGRkBDUOij8M0YmIiIiIklt1tWzzyPcERETRM20a8Pbbnsu9VaLbbJ7rkXesRPdn0O3AgJscPysp8uuoR4GRDzuW645WkE9417MSHQCmfg+PSnQAOHuf5z5CNHnyZDz55JNISUlBx44dkZKSYr8uMzPTZV2bzYYOHTpg2bJlHvvJy8sL6/bT09ND3sZ29D/02WefxdixY12u0+v1AAAhRFjjofjBEJ2IiIiIKLlVV8uv+/YBYb7lJCKiEFgswO7dwMqVwAUXyGUPPghce63sid6hg1ym1qw2Nzu+J/8Yovuj99FixZAOwEt4bMj0XAYAKVk+lueEPTRVZmYmevfuHdS6I0aMQGVlJQwGA7p37+51nQEDBmDVqlW49NJL7ctWrVrlc599+vRBeno6vvzyS3sLGGdqD3Sr1XFyobS0FJ06dcKOHTtw0UUXed3vwIED8fLLL6Opqcke1PsbB8UfhuhERERERMntyBH5dd8+YPDgmA6FiCgp7N8PWK0yRAdkNnPbbcAxx3hWoqvXM0QPDkP0JHLiiSfiuOOOw1lnnYUHH3wQ/fr1w/79+/Hxxx/jrLPOwujRo3H99ddj1qxZGD16NMaPH49XXnkFGzZs8DmxaFpaGm699VbccsstSE1Nxbhx41BVVYUNGzbgsssuQ0lJCdLT0/Hpp5+ic+fOSEtLQ25uLubNm4frrrsOOTk5mDZtGlpaWvDjjz+iuroaN910E2bOnIk777wTl112Gf76179i165d+Oc//xnlR4zagiE6EREREVHyEkJWovfsyclFiYiiZdcuIDsbWLdO5jHl5XL5jz/KE5tqiJ52tHkG+6IHjz3Rk4iiKFi8eDEmTJiAOXPmoG/fvrjggguwa9culJaWAgDOP/98/P3vf8ett96KUaNGYffu3QEn8/zb3/6GP//5z/j73/+OAQMG4Pzzz4fJZAIAGAwGPPLII3j66afRsWNH/O53vwMAXH755XjuueewcOFCDBkyBBMnTsTChQvRo0cPAEBWVhY+/PBDbNy4ESNGjMCdd96JBx98MIKPDmmNIToRERERUfJpaADOOAOorwdaW4EhQ2QlOhERRd7u3cDw4UC3bsCqVcCOHXL5558DKSlAYaH8WVEcfdEpOIpIgubTtbW1yM3NRU1NDXJyXFuoNDc3Y+fOnejRowfS1NMw7ZAQAhaLBQaDAUo7nRY9WX6XieKFF4DLLgP+8Af5PcWezWaDyWRCSUkJdDqeQyVKVjwWEBHAYwFFzp49Mrz5/ntg7FjgjjtkH16+J4hPPBYQxVZTk/zkjlYtVe69F9iyRX7fowdQXAxcfz1gNAIlJTJkVxUXA599BowcmdzHAn+5sbPkelSIKGpYiU5ERERElHzMZvl1/XrZUqBHD1aiExH5Mm8ecN112u1v1y55IvO44+TJzJ075ffNzY5WLipWooeGIToRRQRDdCIiIiKi5NPaKr+uWwfk5QGdO8uqyMrKmA6LiCgu7dgBLFkiq9G1sHs30L07MGYMsHq13P/06fI6huhtwxCdiCKisRHIzWWITkRERESUTNRK9HXrgPx84PjjgcGD5QSjrEgnInJVXi4nX/7tN232p1aiDx0qW8UsWyaPwd27e4bomZkM0UPBEJ2IIqKpCejQgSE6EREREVEycQ/Rc3KAxYuBrCxWoxMRuSsvl2H2V1+1fV82m5yXont3IDUVGDFCZjI9eshQvUsX1/VZiR4ahuhEFBGNjQzRiYiIiIiSjdrOxWSS7VxUej1gtcZkSEREcclmA/bvB37/+7aH6F9/DUyZIo/Balg+Zoz82qMH8OyzwNVXu26TkQE0NLTtdpOJIdYDiBc2my3WQ6A2Elo1kCJNqCH6t9/GeiRERERERBQtaiU6ICvRVQYDYLFEfzxERPGqqkoeF2fNAs49Vwbg770nT0L26SOD9bvuAozGwPtavBhISZFf09LksjFjgMJCOclzdrbnNqxED03Sh+ipqanQ6XTYv38/iouLkZqaCkVRYj0szQkhYLFYYDAY2u39q6qqgqIoSElJifVwCPJA3KkT0NIiL8Ec9ImIiIiIKLE5h+isRCci8q28HCgoACZNkpnJ558D114rj52HDsmQu6AAuOWWwPvauhU49VRg2jTHst/9TrbU8oUhemiSPkTX6XTo0aMHKioqsH///lgPJ2KEELDZbNDpdO0yRAcARVHQuXNn6PX6WA+F4KhEB2RLl5KS2I6HiIiIiIgir7VVVjzW1blWojNEJyJyVV4uiw91OtnS5U9/AtLTgU2b5LLly4EzzgAuucSRr/iybRvwhz+4LsvKktv7whA9NEkfogOyGr1r166wWCywttNndZvNhkOHDqGwsBA6XftshZ+SksIAPY40NsoXzSkpQG0tQ3QiIiIiomRgNstJ7dSJRVVs50JE5Kq8HOjcWX5/7rnAY48B8+bJAB0AJk6UlyeeAO65x/d+bDZg+3bZAiYUDNFDwxD9KLUNSHttBWKz2ZCSkoK0tLR2G6JTfGlslAfk3FxOLkpERERElCxaW2X1Y2kp27kQEfmjVqIDwLhxwKWXApdf7rrOlVcCV10lw3VfdaPl5fIEZs+eod1+RgZQXR3ysJMW01QiigiG6EREREREycdslp9GPekkoH9/x3KDgSE6EZGzffscIbpeDyxa5PhZdeqp8ti5ZInv/WzdCnTrBqSmhnb7mZlAfX1o2yQzhuhEFBEM0YmIiIiIko/ZLIOc//4XOOYYx3K9nu1ciIicOVei+2IwyF7nzz3ne51t24C+fUO//ZwcOX8FBYftXIgoIhiiExEREREln9ZW79WQbOdCROSqogLo2DHwenPmAAMHAiaT9/nmtm0LvR86IEP02trQt0tWrEQnoohQQ/TsbJ7ZJCIiIiJKFmo7F3ecWJSIyFV1NVBQEHi9Xr1kz/SXX/Z+/YYN4VeiM0QPHkN0IooIhuhERERERMlHbefijpXoRESuamtlkB2Myy4Dnn/ec/mBA8BXXwGnnRb67bNzQGgYohOR5mw2oLmZIToRERERUbJhOxciosCsVpmV5OYGt/7vfgf89pts3eLspZeAE04AevYMfQysRA8NQ3Qi0lxTk/zKEJ2IiIiIKLmwnQsRUWD19fJrsJXoWVnAxInAxx/Ln8vLgblzgccek1Xq4WCIHhqG6ESkucZG+ZUhOhERERFRcmElOhFRYDU1gKLIcDxYp50GLF4MtLQAZ58NrFgBzJwJzJgR3hhycmQXAbM5vO2TjSHWAyCi9qexUT4ZGI0M0YmIiIiIkom/SnSG6EREUm2tzEt0IZQ3n3YacMstwKmnAkIAn3wCpKWFPwa1Cr6uDsjPD38/yYKV6ESkucZGID1dBukM0YmIqC1++w24//5Yj4KIiILlb2JRtnMhIpJqaoLvh67q3Rs45xzZA72tATogcxuDgS1dgsVKdCLSXGOjbOUCMEQnIqK2+ekn4PXXgTvuiPVIiIgoGK2t3tsTsJ0LEZFDbW3w/dCdvfKKdmNQFDmGmhrt9tmesRKdiDTHEJ2IiLRSX8/QhYgokbCdCxFRYOFUokcCJxcNHkN0ItJcsCG62QyMHKntmVQiImpfGKITESUWfxOLsp0LEZFUW8sQPdEwRCcizak90QH/IfrKlcCuXcDVVwN33SUnxiAiInJWV8cQnYgokfjric7jORGRVFMTXjsXrTFEDx5DdCLSXEODDM8BR4juLSD/+GNgxgwZpj//PHDzzdEdJxERxT9WohMRJRZ/7VxYiU5EJLGdS+JhiE5Emquvd0wmlJ0tw4/mZs/1Fi8Gpk8HhgyRgfrjjwPV1dEdKxERxTdWohMRJRZ/7Vx4PCciksKdWFRrubmcWDRYDNGJSHPuITrg2dJl505g+3bgpJPkz4MHA6NGsT86ERG5YiU6EVFi8VWJzhCdiMiBleiJhyE6EWmuvh7IzJTfG43yo5vuIfqSJcDxx7ueeb3sMuC556I3TiIiin+sRCciSiy+eqKznQsRkUO8VKIzRA8eQ3Qi0pxzJbqieJ9c9KuvgBNPdF123nnA5s3A1q2RH2NtLXD66cCHH0b+toiIKHysRCciSixs50JEFBgr0RMPQ3Qi0pxziA54hug2G7B0KTBliut2WVnApEmyV3okCQH84Q9AeTlw4YXA669H9vaIiCh8rEQnIkos/iYW5fGciEhiJXriYYhORJpzD9GzslxD9A0bgMZGYMwYz22nT5eTjAohw3atmc3A7NnAzz8Dn38OLFoE/OlPwJEjQEMDJ9QgIoo3rEQnIkos/irRo93OZdcu4P/+D7jiCsBkiu5tExH5Ey+V6JxYNHgM0YlIc4Eq0b/8EjjhBO8vrqdPB5Yvl61errhC+7Hddhvw66/At98CRUXAjBnA8OHA2LHyDGxeHvDUU9rfLhERhYchOhFRYvHVEz3a7Vw2bpSv8evqgPffB9asid5tExEFwkr0xMMQnYg0FyhEf+MN2Y/cm969gb59geZm4M03gaYm7cZ18CDw9NNy8tIOHeQyRZGh+cyZshf7q68C998vK2iIiCj22M6FiCixxEs7lw8/BI45BnjlFaBbN/kehYgoXsRLJTpD9OAxRCcizTU0+A7RN26UVSAzZ/reftUqYOVKoLQU+Oyzto/nt9+ACROAiy4Cjj8eGDXK9fpevYC5c+XX884D0tKA115r++0SEVHbsRKdiCixxEs7l9ZWoLBQfu/eXpKIKJZaWuSFleiJhSE6EWnOXyX688/LFir5+b63z8oCdDrg3HOBt95q21gaG+XtlZbKqvO77vK/vl4P/O1vwK23AhUV3td56ingu+/aNi4iIgrMYpGfTGKITkSUOHxVoke7nYvFIqvfAfl+hJXoRBQv1NA6HirR+/eX3QIoMEOsB0BE7Y+vEL2hAVi4EHjnneD28/vfA1OmuL4ADtXLL8vw/NVXvb+Y9+bii4ElS4ALLwSWLpXbqw4cAG68UVasH3dceGMiIqLgqIEHQ3QiosThqye6wRD9SnT19T8r0YkontTUyOOT0Rjrkci8ZuJEwGaL9UjiHyvRiUhzvkL0554DevSQB+hgjBwpX2z/9FP4Y1m3Tk5SGmyADsjQ/MknZduZVatcr3vkEVlF/9VXgBDhj4uIiAJzDjz4wp6IKDH4a+cS7Up09T0AK9GJKJ7U1soqdOeCPYp/DNGJSHPeQvQ1a4B//Qu47bbgnyh0OmDyZBlYh2vDBmDQoNC3y8qSfduff96xrK4OeOIJ4MUXAZMJ2L49+P2tWSPPNhMRUfCcAw9WoxMRJYZ4aefS2ur4NGtWFkN0IoofNTXx0Q+dQhPzEL179+5QFMXjcs011wAAhBCYN28eOnbsiPT0dEyaNAkbNmyI8aiJyBe1f61ziD5xoqzePvVU4OyzQ9vflCnAl1+GP56NG4GBA8Pb9vLLgddfB845B7j3XuCZZ2S/sKlT5QSlwYb7Bw7Ix+Cee4A9e4BjjgGGDgV++CG8cRERJYu6OnlCFWCITkSUKHxVorOdCxGRpFaiU2KJeU/0H374AVand0Xr16/HySefjHPPPRcA8NBDD+Hhhx/GwoUL0bdvX9x77704+eSTsWXLFmRnZ8dq2ETkQ0OD/Oocoo8bB3zySXj7O/FE4OabZTCflhbatgcPyorxcEP0kSPlpKQFBcBDD8kK+kWL5NcpU2SIfuWV3rd9+WXgpZfkhKZ1dUBZmfy5rk4u69kTuPpq4PvvHQERERG5qq8H8vKAw4cZohMRJQIh4qcSnROLElG8qqlhiJ6IYh7dFBcXo6yszH756KOP0KtXL0ycOBFCCCxYsAB33nknZsyYgcGDB2PRokVobGzEq6++GuuhE5EX6ovTzExt9tevnwyxv/km9G03bAC6dGnbx6ReeglYsECG52PHAmeeKZePHg38+qv3bVpbZfB//PEyPN+yBfj4Y3li4ZlnZEX6gw/KkP+558IfGxFRe1df73iDwRCdiCj+qZXmvirRo93OhZXoRBSPamvZziURxbwS3ZnZbMZ///tf3HTTTVAUBTt27EBlZSWmTp1qX8doNGLixIn49ttvcaWPEtCWlha0tLTYf66trQUA2Gw22JJ0ViqbzQYhRNLef4qe2logPV2BogjNJoE79VQFixcDkyeHNpPn+vXAgAEKbLa2zwD6u9/JCyAnt+vTB9i+XUFLi/CotPnwQ/kY/O1vAjqdrGIHgOuuA5YvVzBsmBzPE08A556rYMwYgaFD2zzEgHgcICIgsY4FNTVAXp4CQEFrq42TixJpKJGOBZQ45NtwHQwGz2O2Tge0tmrz2jwYZrMCg0G+J8nMBOrro3fbiYTHAqLoO3IEyMmJr2NSMh8Lgr3PcRWiv/feezhy5Ahmz54NAKisrAQAlJaWuqxXWlqK3bt3+9zP/Pnzcdddd3ksr6qqQnNzs3YDTiA2mw01NTUQQkDH3hEUQXv2GJCRkQ+TqUqzfR5/vBEPPJCNW245GNJ2P/2UjR49AJNJ+7KT9HRAry/Fjz8eQq9eriU1Tz2Vh/POa8XBgw0uyy+4ADj/fNliBgBGjACuvDILs2YZ8dlnhzQfozseB4gISKxjQUVFOtLT0wAYUVlZhdbW+HmjQZToEulYQImjpkYBUIojR6pgsbgesxsa0tHUlAaTqToqY6mvz0VzswUmUwOsViOqq7NgMkX+NXei4bGAKPoqK7OQkqJEJKsIVzIfC+qC/KhSXIXozz//PKZNm4aOHTu6LFcUxeVnIYTHMme33347brrpJvvPtbW16NKlC4qLi5GTpJ+XsNlsUBQFxcXFSffPQNGVmirPqJaUlGi2z3POAa66SkF9fQl69gx+u127FFx4oUBJSbpmY3HWty9QVVWI445zLFu9GvjmGwXPPZeKkpLAPW1uuQX4978VGAwlKCiIyDDteBwgIiCxjgWKAhQVydd8BQXF0PCphSjpJdKxgBKH+ja9U6diGI2u1+XnA3q9tu8T/NHrFeTnC5SUZKJzZ6C5OXq3nUh4LCCKvtZWBWVliFhWEY5kPhakBTkBX9yE6Lt378YXX3yBd999176srKwMgKxI79Chg325yWTyqE53ZjQaYXR/xgag0+mS7g/BmaIoSf8YUOQ1Nsqegzqd7xNdocrNBSZMAD75RMGf/hT8dhs2AEOGKBGbuLN/f2DrVsf+bTbghhtkP/SuXYO7/6WlMoxftUrB6adHZpzOeBwgIiBxjgUNDTJ0AQAhdJyImUhjiXIsoMSh9kQ3Gj2P2Skpsie6lu8T/LFagdRU+Vo9J0fOsxGt2040PBYQRVdtLdCzZ/wdk5L1WBDs/Y2bR+XFF19ESUkJTjvtNPuyHj16oKysDJ9//rl9mdlsxvLly3H88cfHYphEFEBDgwzRtTZ1KvDll8Gvf/CgbJsycKD2Y1H16ycnDQUAsxn4wx+Aqirg1ltD28/48cDKldqPj4go0dXVOSZd4sSiRETxz2wG9Hp4Pemp10d/YlHD0bLB7GxOLEpE8aO2VhYLUmKJixDdZrPhxRdfxKxZs2AwOIrjFUXBDTfcgPvvvx//+9//sH79esyePRsZGRmYOXNmDEdMRL7U18uJe7Q2ZQqwbFnwL7w3bgQ6d47sjNf9+wObN8vvr78eWLcO+PprICMjtP2MG8cQnYjIm/p69dNNDNGJiBJBa6ts7+iNweCoVI/WWFJS5PdZWbLYJwnnyyOiOFRTE9msgiIjLkL0L774Anv27MGcOXM8rrvllltwww034Oqrr8bo0aNRXl6OJUuWIDs7OwYjJaJA1MBDayNGyB6LH30EjB4N7N/vf/0NG4BBg7Qfh7P+/YFNm4Dly4GFC4E33wTcpnQIyvjxwA8/AEk67zERkU/NzepEzgzRiYgSgdnsCK7dRftYbrE4KtHV9ycNDdG7fSIiX1iJnpjiIkSfOnUqhBDo27evx3WKomDevHmoqKhAc3Mzli9fjsGDB8dglEQUjEiF6Ho9MGkScOmlwE8/AYsW+V9/48bItnIBZEg/eLAc1/XXA717h7ef3r2BggLg++81HR4RUcJjiE5ElFjMZv+V6NFu5+JciQ7I9ypERLHGSvTEFBchOhG1H5EK0QHZ0sViAR5+GHjhBUAI3+tGoxI9LQ1YsQJYvx64++7w96MowOTJwNKl2o2NiKg9aG6Wx1qG6EREicFfOxe9PrrtXCwWR4iekgIYjQzRiSg+sBI9MTFEJyJNRTJEv+IK4JtvgKuvBqqrZRsVb4SIToiuGjTI95uFYJ14YmgTpxIRJQOG6EREiSWe2rk4TywKcHJRIooPQsgQnZXoiYchOhFpKpIheloaMHy4rCK5/HJZke7N5s3ySWno0MiMIxKmTAFWrWKfRiIiZ01NDNGJiBJJoIlFY9XOBZDvUdwr0d96C5g5M3pjIiJSJzlmJXriYYhORJqqq5NVHpF2/fXA55/LinN3H38s26NkZER+HFrp0QPo3BlYuTLWIyEiih+sRCciSiz+eqLHop1LoEr0/fvlhYgoWmpq5Ndo5CakLYboRKSpaIXoHTrISUb/9jfP3uiLFwOnnRb5MWht/HhZjU5ERBInFiUiCl9TEzBjBrB9e/RuM97auQSqRG9qkhciomiprQUyM11P8lFiYIhORJqKVogOyMk8v/8eeOwxx7LaWuDrr4Hp06MzBi0NGuS9sp6IKFmxEp2IKDxCyHmE/vc/YO/e6N1uorVzaW5miE5E0VVTw1YuiYohOhFpKpohemkp8OabwF/+ApSXy2WLFgEDB8r2KIlm0CBg48ZYj4KIKH4wRCciCs+2bcBrrwHFxbL3brQEqkSPt3YurEQnomirqeGkoomKIToRaSqaIToAjBsHnHoqsGABcOgQMHcu8MAD0bt9LQ0cCGzdKqtmiIiIIToRUbgqKmT7w4ICz9aHkRSoJ3q8VaIzRCeiaKutZSV6omKITkSaqquTL1Cj6dZbgaeeAk48UYbq06ZF9/a10r27rJaJZt9KIqJ41tTEEJ2IKByHDgFFRYBOF91KdPfg2lm027lYLAzRiSj+sBI9cbGNPRFpKtqV6ABw3HGy52OXLsDs2dG9bS3p9UD//rIv+oABsR4NEVHssRKdiCg8Bw/KEL2pKfrtXPxVokeznUtrq2s7F28hPnuiE1G0sSd64mKITkSaMZvlJdohOgA8+GD0bzMS2BediEiyWOQlPZ0hOhFRqNQQfd++6LZziadKdPexeKvKVyvRhQAUJXpjI6LkdfiwbLVFiYftXIhIM+pEPbEI0duLgQNlJToRUbJraZFfWYlORBQ6NUSPp3YusZ5Y1FeIDjiec4iIIq26miF6omKITkSaqauTL04zMmI9ksTVowewd2+sR0FEFHvNzfKrvxB98WL5kdhAtm0DVq3SdnxERPHs4EGgsDD+QvRYV6K7374aorOlCxFFy+HDQH5+rEdB4WCITkSaUScV5Uchw1dSAphMsR4FEVHsqSG60eg7eLn5ZuCbbwLv67XXgLvv1nZ8RETxTK1EV5TkbOdis8lLoHYu6nMNQ3QiihZWoicuhuhEpJlYTCra3jBEJyKSmppk+KHX+w7RW1vlJZCWFmDzZu3HSEQUr5K9nYt6O8G2c2lsjM64iIhYiZ64GKITkWYYorddaal8HFkNQ0TJrrlZTioK+A/RzebA+2ppAXbtclQcEhG1d4cOOSrR4ylEFyI6lfHqCVbnsej1vkN0vvYmomhhJXriYohORJqpr2eI3lYFBbJKhtXoRJTsmptlP3RAm0p0IWRvdCKiZOBciR5P7VyA6LR0USvRA7VzYYhORNHGSvTExRCdiDTDSvS20+vlGx6G6ESU7IIJ0S2W4EN0gC1diCg5mM1AbW18tnMBotPSRX1uCNTOhT3RiSiabDbgyBFWoicqhuhEpBmG6NpgX3QiIu0r0QFgyxbtxkdEFK8OHZJfCwriq51LNCvRvbVz8VWJrigM0YkoOmpq5KeDWImemBiiE5FmGKJrgyE6EZH2IXpODivRiSg5HDwoj3mpqfHVzkWtRI9mOxf1NgHfIXpeHkN0IoqO6mp5QjErK9YjoXAwRCcizTBE1wZDdCIKR0NDcJNsRooQ8uOpWmlq0jZEHzqUIToRJQe1HzoQ/XYuZrMM772JdjsXg0FWmavcHwuLRV4KChiiE1F0qP3QnY9NlDgYohORZhiia4MhOhGF409/Ap54Ina3/847wOTJ2u2vuRlIT5ff+wvRgzlx0NICDB4MbN+u3fiIiOLVoUOOED1Z27lYLJ7jcA/R1eA8P58hOhFFR3U1+6EnMoboRKQZhujaYIhOROGoqgIOHIjd7X/2GbBpk3ZhTaB2LjabrH4PthK9c2fZhzKY9YmIEpl7JXq8tXOJZiW6M/cQXZ1UlJXoRBQtaiU6JSaG6ESkGYbo2mCITkThaGiQIXGsfPWVDKv379dmf4FCdDUMDzZE79RJfq9OuEdE1F5VV8s+30D027nES090b+PwVomuKOyJTkTRw0r0xMYQnYg0wxBdGwzRiSgcDQ1AbW1sbnvXLmDPHqC4GPjtN232qXWInp0tLwcPajM+IqJ4VVsL5ObK7+OpnYtOJ8cTrXYugSrR1bk30tMZohNRdLASPbExRCcizTBE1wZDdCIKRywr0ZcuBcaOlX3H4zVENxplewOG6ETU3tXWAjk58vt4aucCyON5tNq5BFOJnp7OEJ2IoufwYVaiJzKG6ESkGYbo2lBD9Gi+4SGixFdfH7tK9M8/B6ZMAXr10i5EV8MNQAYfbQ3R09IYohNRcnAP0eOlEh3wPVF0NMbhrSc6K9GJKJqqq1mJnsgYohORZurqgKysWI8i8ZWVyQqdw4djPRIiSiSxqkS3WIBPPwWmT9c2RA9Uia5WMoZaic6e6ETU3jmH6IoSX5XoBkN8tXNhJToRRRMr0RMbQ3Qi0kRTE1BRAXTpEuuRJL7MTFnRr9XkfESUHGLVE/3772XIfcwx0Q3R1fDcbA68L7ZzIaJkUlvr+HRoPFaix1s7l4wMhuhEFB01NY45KyjxMEQnIk388os8o9q1a6xH0j507ChPShARBcNqlQFALCrRFy8GTj1VBiOxCNHZE52IyFU8t3OJZiU6e6ITUbxhC9zExhCdiDSxerWcVE5RYj2S9qFDB4boRBS8xkb5taYm+vMpfPwxcNpp8vtevWSvRy3aUUUiRC8sZIhORO1fXV38tnOJZk/0QO1c2BOdiKKtvp4heiJjiE5Emli9GhgzJtajaD86dmQ7FyIKXkOD/KpWpEdLdTXw669yUlFAfjy1rAzYvLnt+2YlOhFReGJZiW42A6mpvq+Px3YuDNGJKFpYiZ7YGKITkSa+/54hupZYiU5EoWhokOEAEN2WLt9+C/TuDZSUOJYNGgRs3Nj2fTc3y2ADaNvEolarvDBEJ6Jk0R7bubzzDnDRRcGvz4lFiSge1dUBWVmxHgWFiyE6EbXZwYPAjh3A6NGxHkn70aEDK9GJKHj19TIwSU+P7uSi33wDjB/vumzgQGDDhrbvu6lJm0r0lhb5lSE6ESWD1lZ5/Izndi7hVKJXVsqLP3V1wJo1vsfBEJ2IYkkItnNJdAzRiajNtm2ToW9BQaxH0n5wYlEiCkVDA5CZKUOTaFair1wJjBvnukzLSnSG6EREoamrk1/jtRI93J7ora2yVYw/H38MXHWV/N7XxKLOt82e6EQUTU1N8njMED1xMUQnojarrQXy8mI9ivaF7VyIKBQNDfKjobm50atEb2kBfvghcpXowYbogUIV9xC9vt6xjIiovamtlWFxRob8Od5CdLWdi8UCXHddcPNaqPtV162t9X6fmpsdYXgwE4uyEp2Iokk9ycl2LomLIToRtZlz30XShtrOJZofvyWixBWLSvS1a2VI07ev6/KBA4Hy8raPQ8tKdEWRYYr6ialDh9o2NiKieFVbK6scFUX+HK/tXPbsAR59FDh8OPj9qsf7adOAL7/0XMdsdpwkZTsXIoo39fXyuGQ0xnokFC6G6ETUZrW1svqRtNOxo3wTcORIrEdCRImgvl6G6NGsRP/1V2DYMEdQoyosBEpL297SRauJRVta5JsVRZFvXPLy2NKFiNov9+KWeKtEV4/nO3fKn5ubg9+verw/csT7yVDnEN1XOxeG6EQUK3V1bOWS6BiiE1Gb1dSwEl1r2dkyEOPkokQUDLUSPTc3epXov/4KDB3q/brBg4F169q2/yNHHG802lqJ7lzxU1DAEJ2I2q94D9HVdi47dsifg22v5dwT3Wz2Hr63tLhWogdq58Ke6EQUTQzREx9DdCJqM7ZziQxOLkpEwVJ7oufkRK8Sfd063yH62LHAd9+Fv+/mZhmid+ggf9Y6RK+uDn9sRETxrK7O9XV5NNu52GzyEkw7l7ZUore2eg+9w23nYjTK55hwJjwlIgpWfT37oSc6huhE1GYM0SODk4sSUbCc27lEoxJdCP+V6OPHAytXhr//Awdk2FFUJH/WMkTPz2eITkTtVywr0dXjcTCV6G0J0X1Voru3c3GvRNfrvVei646mIpyLiIgiiZXoiY8hOhG1GXuiR4Y6uSgRUSDOE4tGoxJ9/35ZKT5woPfrjzsO+O03GYaHo7ISKC6WgQfgP0RXP97vi7dK9GAnsiMiSjTuIbqiRC9EV4/HkeqJ7tzORYtKdLNZPj+oIXo0294QUfJhiJ74GKITUZuxEj0y2M6FiHxZvNh14uFo90T/9VegTx8gI8P79Xl5si/6N9+Et/8DB4CyMsfPviYWNRpZiU5E5Ky21jWk0emiV2GtHo9TU32v497OJZSe6M4nT32F6K2tMgwPZmLRlhY5VoboRBQNbOeS+BiiE1GbcWLRyGA7FyLy5dZbgQ8/dPwc7Ur0DRtkSO6P2tJFCODUU4Gffw5+/5WVgUP01lYZ4ofTE52V6ETUXiVCO5faWsBkkgUj4fZE9zWxqPo1mIlFzWaG6EQUPaxET3xxEaKXl5fj4osvRmFhITIyMjB8+HD89NNP9uuFEJg3bx46duyI9PR0TJo0CRs2bIjhiInIGSvRI6NjR7ZzISLvLBZgyxbHz2plS2amDNQjraIC6NTJ/zqnnAK89ZasRv/sM2D79sD7ff99YMGC4EP0zExWohMROYtlO5dgQnS9Xrb7yswEunTRvp0L4AjRg2nnwhCdiKKFIXrii3mIXl1djXHjxiElJQWffPIJNm7ciH/961/Iy8uzr/PQQw/h4YcfxmOPPYYffvgBZWVlOPnkk1FXVxe7gRORHUP0yGAlOhH5YrUCmzc7flYr0b2FzZFQVQWUlPhf5/TTgfR0YOZM+XMwbWaWLgVefz34ED09nZXoRETOvFWiR7Odi14vg3tf9Hpg2zagRw85qWeolehWqwy7A4Xo3iYWZU90IooltnNJfDEP0R988EF06dIFL774IsaMGYPu3bvjxBNPRK9evQDIKvQFCxbgzjvvxIwZMzB48GAsWrQIjY2NePXVV2M8eiICOLFopKgTi0brjQ8RJQ5fIbrBIIODSKuqkhN/+qPXA7fcAuzdC/TqFVybmX37gHXr5LGvtNR1X1q2c2ElOhG1V956okezEt1fFTogn6d+/BEYMiT0EN1mc7Rs8bYdK9GJKJ6xEj3xxTxE/+CDDzB69Gice+65KCkpwYgRI/Dss8/ar9+5cycqKysxdepU+zKj0YiJEyfi22+/jcWQicgNK9Ejo2NHWWUTjf7GRJRYrFZZyacG5tGuRDeZAofoAHDppcAbbwCTJgVXiV5eDjQ2At99F9zEouGE6Pn5rEQnovarqUk+H6i0bufS2gq8+abv6wKF6Hq9/KTlmDEyRA92YlHn5ztAm3YunFiUiKKJIXriMwReJbJ27NiBJ598EjfddBPuuOMOrF69Gtdddx2MRiMuvfRSVFZWAgBKncuRjv68e/dur/tsaWlBi9Ozce3RBMpms8GWpM+MNpsNQoikvf8UOTYbUFenICtL8IWnxrKygPR0BeXlQpMnWx4HiNoPq1WB2axgxw4bevcG6usVZGQItLTI62w23x9h0eJYUFWloLAw8HHfYADOOQdYtUpBTQ1cxjVvnoK+fYW93QsAlJcr0OsBk0lBSYnNvn9FASwW1/tlNgMZGfJxsFptPtsHNDcDqamObfPygOpq/48RUTLg64L2yWxWYDAIp+OnApsNmh3zfvkFuOACBWeeKZCa6npdSwuQkuL/+KrXKwAUHHOMDd9+q6CpKbj3EGaz3K6uzgZAh8ZG4XE7zc1ynaYmG1pbFej1nvu22RzjUx8r+alPHSwWW1K+n+GxgCg66uoUZGbGb26SzMeCYO9zzEN0m82G0aNH4/777wcAjBgxAhs2bMCTTz6JSy+91L6e4vbOSAjhsUw1f/583HXXXR7Lq6qq0Bzs58XaGZvNhpqaGgghoNPF/AMI1I7U1SkQohQtLSaYTAwktFZSUoSNG2tRUGBu8754HCBqP1pbiwHo8f33NcjJaUFdXTHM5iOor1fQ0pINk+mQz23beiwQAqiqKoVefwgmU3Bl73p9Jvbv18Nkcny05tdfc7F3rw0nnVR3dFxARUUpRo1qxerVqUhJcey/sTEdzc1pMJkcfViOHMmCXm8AkIaKCpNH71vVwYOZEMIAk0mWwlutOtTUlKCi4gD0+pDvPlG7wdcF7VNDQyEaG+thMsmispaWbAACJlO9JvvftMkIIfKxbt1BdOni+hxgMhmg1+fDZKryub3FkguDIQ0dO5oA5OLgQQtMpsAzYjc05AMwYu/ewwCKUFdndnlOAID6erlORcVh1NdnoqWlFSZTo/36mpoUtLbmwmQ6CABobi5GQ0M1Dh60ACiDyXQwacMjHguIIq+6ugA2W4P9+BxvkvlYEOycmzEP0Tt06ICBAwe6LBswYADeeecdAEDZ0c/yVlZWokOHDvZ1TCaTR3W66vbbb8dNN91k/7m2thZdunRBcXExcpK054TNZoOiKCguLk66fwaKLPVjkz16FDOMiIAuXRQ0NeUFnMAvGDwOELUfNpuC7t0FDhzIRUkJ0NSkoHPnfJhMAKCgxPmgIQQA4bTt0WNBURF0OreCBEXnsb5juQwW6uqAlhaB/v3ykV/gWO60ssesch07Ar/9pqCkJM2+LCVFQWUlUFKSDkBOJmqxKDjjDANWrwYGDSpEfr5cNy9PVi8636/UVMU+H0d+fgnS070/Vikpcr2SEtnTRZ3QKTW1BIWF3rchSgZ8XdA+CaGguDjX/toxI0NBSgpQUpKhyf7VdioNDYUer0+zsgCj0e05yE1GhoKhQ4Fu3UqQl6fAYABKSjJ9rq9Sn6+MxgIAgNWa6nE7apFdZmYB9HoF+flGlJQ4ZvErLJTrqNtZLArKygrs7cMKCoo0ec2daHgsIIqO5mYFnTrlxu1xJpmPBWlpaYFXQhyE6OPGjcOWLVtclm3duhXdunUDAPTo0QNlZWX4/PPPMWLECACA2WzG8uXL8eCDD3rdp9FohNG5+eVROp0u6f4QnCmKkvSPAWmvvl729UpJ4d9VJHToAFRWKtDq35bHAaL2wWoF+vQBdu2SxwezGUhLk0GJ1QrXcNy0Avhiov1HJbMHlLHfQrf3dehWOT71h+ITgJNXABsfBNbc5ljebSYw7hXgh+uAbY8jF4Dtv4DYewuUogeBFTOAfe871h/1KNDnSqBuO5A7AICcfLq21nVcQgC7djmWVVTIgGPMGB1SU4GCAp09i/d2vywWR99fq1Xn8zgpHxvHtpmZsgfukSO6oPq6E7VnfF3Q/qjPB+qvVC1y8ThpGqaj3Vaxb5/ncddqlcdrf7eVkiL7oet0CtLS5HiDGZs6/0VTk7zR5mbFYzu1uKe1VQeLRZ5EdR6jwSA/9aRu19IiHyv1k0yK4vu5pL3jsYAo8urrgdxc7d7bR0KyHguCvb8xD9FvvPFGHH/88bj//vtx3nnnYfXq1XjmmWfwzDPPAJC/wBtuuAH3338/+vTpgz59+uD+++9HRkYGZjo30SSimOCkopHVsaMMloiInFmtrpNqWq0yHPCYgHP/p0Bmd+CsffZFQihAHYDOZ7ssh+5oc9s+VwPdL3Ys1x8t8R52LzDodvz8C3DZHOCXdUer+8Y+D4x+3LF+Sq683R/+DzhzB6A32kN0ZzabDNGFkIXr5eVAp07AhAnASy+5FrP7mlhUDdH9TS7qPrGoogAFBUB1te9tiIgSVWsrXHqVu0+m2Vb798uve/Z4Xmc2B55Y9E9/gv1TRGlp3icI9UY9zgczsWhzc3ATi5rNnFiUiKKnrs7xiUhKTDEP0Y855hj873//w+233467774bPXr0wIIFC3DRRRfZ17nlllvQ1NSEq6++GtXV1Rg7diyWLFmCbE5rSxRzNTUM0SOpQwdgzZpYj4KI4o3VKoNhNVi2WGTQbDDI7+3W3AoMuQvocpZjmc0G1JkAQwaQ6uWVfEq2vLhLzQNS87C/GrClAVBDGqOXniidTgPW5gHr5gLdLkBOznB0SFsD7HOkLmWZ/dDc3A+HtnyHoqwqpBwAZowF0qzDcP753YDKrwCL7OHbRQFyUo8FUAKUfwwICwZkA+npQFbaZLS2pAH7PnEdQ8dpgLUJ/TKXybB9HwDFAHSajl6dTNBXrpLL1PtcOhlo2A00lgPFx3t93ImI4p0aDKsURfsQPT/fe4juHuB7M2aM4/u0tOBPaAYTore0OL5aLPCYK8M5RLda5fepqY6TtgzRiShShJAhOmPMxBbzEB0ATj/9dJx++uk+r1cUBfPmzcO8efOiNygiCgor0SOrrIyV6ETkyWqVb/zVEN1qlSG6S8W2rRWo3QzkDdb0tk0mBG6DouiAEQ8Da+8A9BnIzR2O8T3eB9Y52r4MKroSQD+0bvsvYPgOw3TAwFEADv8dyOwGbHscqN8p1xVAx+zHAJQAG+cDlgZM7yqrDIuzB8PSUgxsnuc6htIpQHMVpneZJ0OddQAMWUCn6RjcfTt61M+TywAgq6cM0Q9+D3w7E7ig1aOvOxFRInAP0XXqVBca2b8fGDsW2LvX8zpv1d/+pKXJqvFgqCF6/dH5Ub1tp1ait7QErkRX11U/qaR1xT4RkbPGRnlyT/0kDiWmuAjRiShxMUSPrA4dGKITkSc1RDeb5Zt+Iby0c6nbDih6GRBrqKoqiBAdADqeIi8AcjYDc9+ai78smmu/+pOjHWC+qn0cF10E3PkHoFs3YF6Xoyuc8I593eXvAb+oVeMnfw0A+Pss2Rd+bzXQYgMw7WfPMaRk4Y6vf8bgwcDtcxyLy1uOx2vVP+Ma986ApZMBYQVsLYA+uAmGiIjiibcQXetK9LPOAt55x/O6UEN0o9FRPR6IGqI3Nsqv/tq5tLTIivVMt/lKvYXo6mPFEJ2IIqmqSr5Oz8+P9UioLZKrUzwRaa62lmdTI4khOhF5Y7E42rmooblnJXoL0GOWrArXUNAhupPcXBl4OPcuV8OKnbLY3N4T3RtvPdHVsCYlJbSe6IDsiX74sJeVDRnyq6XR9w6JiOJYJNu5mM3yOeDYY323c4l0JXpDg3xO8BWiZ2XJ47633sM6neO5RA3vGaITUTRUVQFFRYjrSUUpMP76iKhNDh8G8vJiPYr2q0MH+SZA7f9IRCSEvHgL0V16oucPB8Y8qfntm0xASUlo26gnW50nF7XZ5DFODdEPHJAtrLzxFaIbDOGF6Dk5jpYArjeUDgz4C6ALIQUiIoojkWzncuCA3N/o0fJ4XlPjen202rnk5MjnBJc5QCDve3a2PO7X13v2HvZWia6OlyE6EUVSUO0QKe6xnQsRtcm2bcCIEbEeRftVUCBf3FdWAr16xXo0RBQTWx8Hmk3y+/xhsHaYgdNHfIjTuv6Iw5mAbgNw4qATYDCchILaV3DLtK3ArwBq1gMDbwMKj9F0OFVVwLhxoW2Tni6D8NpaoPDoPKQ2mzyu7drl2K+vNxfeQnSLJfxK9IwMR0sAF4oOGPFQMHeJiCjuOE+WqdIyHN6/Hygtlcfx7GzZF935E6nRCNEbG2WIXl0tq9Gdg/KWFvk8olaiBwrRDQZHVShDdCKKpHA+yUnxh5XoRNQmmzcD/frFehTtl04n36ywpQtRkhI24MdrgbptQNN+wFwNqxXIzahBnnE/8tL2A437kZ1eB70eSBGHUZqzX65rLAJSCzQf0u7dQOfOoW2jKDJoca5atNlk+5aKClklefBgaCG6GtakpoYXovv8hM+3lwL1OwLeJyKieOPe5xvQtp3L/v3yE0SKIj+RVFXlen00eqI3NDjmY3IP4NVK9OZm3+1cnEN05+cGhuhEFElVVaF/kpPiDyvRiShsNhuwZQvQv3+sR9K+sS86UTJTgBkHgNRCQKcHAFgbgVe+uRj9T70Yq1YBo68G3vtRVtTVdfgTrnoR+IP2XVwAyGBiyxZg6NDQt83JcW3nIoQ8vn3+uVze2ip7RXrTlp7ora2ugRLgpxIdAA58CTRfrfmErEREkeYtRNeynYsaogPyuOweOke6El2nkyG6Go6790VXQ/QjR+TY/FWit7REdgJWIiJnbOfSPrASnYjCtmeP/Dg924xEFkN0omQmgNY6lyVqD1i1J7r6s8fEohGwcaMMw0OtRAe8V6J36CDn1qiokMGLWl3oTr1f//ufDPEB1xBdDY68Udu+OPMbouszOLEoESUk9YSi8zFPy3DYZHLMXeE8Safz7UcyRM/MlCG60Si3dQ7RhZDr5OQAhw7JZYHauTBEJ6JoYTuX9oEhOhGFbcsWoGfP0F4sU+gYohMlMWsT8GFvoPWIY9HR0CI11XNi0UiH6OvWySp0RQl9W/dKdJtNtqsCZDhfVOR7v+r9WrAA+OILuSzYiUUtFrm9M78huiFdPu5ERAkm0u1cqqocnxiKRSW62oorNVXOteG8rfo8kJ0t24MZDJ6fQmKITkSxwhC9fWCITkRh27yZrVyigSE6URITRxNxxZECqyG50SgDYvcQXYi2BwGbNwMnneTZAuDXX8Nr5QJ4r0RPTZUT1K1f7/+NhRqiV1c7QpNgJxa1WmWY4sxviD7wDiB3QFD3iYgonpjNMgx2PnGoZTsX5xDIWyW62RyZnuhCyGO+WomekiJDdOdKdHU/aoiene15YpYhOhHFisnEnujtAUN0IgobQ/ToKCsDKitjPQoiiokAIbrazkVRZACghsVtrUbftAn48ktg61bX5W0J0b1VoquTJ2/Y4LsfOuA9RA+2J3rIlejdL2A/dCJKSO7BMKBtJfrBg66V6N7aubjfvj/BVqKrbcucK9Hd27moVfjZ2bKdi3srF8D/xKJaPk5ERO5Yid4+MEQnorBt2QL06xfrUbR/rEQnSmLCBuhSvYbozu1c1JBY/drWEN1kkl8XL3ZdrnUluk4nq3LCqUQPNkQPuRL9pxuB3W8GdZ+IiOKJtxBdywpr5xAomu1c1GO8v3YuaoiekyPDfnXyUWfOY+bEokQUTQzR2weG6EQUtgMHZMBLkdWpE7BvX6xHQUQxYSwELmgBDBn2Rc4hutrORQ2JtQzRU1KAjz92LKupkcvD/QRSdjZQ5zRHqnMl+tatgSvRW1pkeOIeoqemBq5Edw/RMzP9hOiN+4Cm8qDuExFRPPEVomvVzsW5El2LiUXVdi6Bxqce4/21c1Fb2WRkyBOuvirRhZAXtnMhomhpaJCvO9nOJfExRCeisNXWymoPiqxevYDDh+WFiJKMtQU4sMwlYbBYHD1v1XYu7pXo6kffw2UyAWeeCaxY4Qi+1a/egolgpKS4jss5RLdYAlei19fL751D9MhMLJoBWHxdSUQUvyLZzsVmkyG61pXogKOK3BfnSvT6et/tXNTlQvgO0QGG6EQUXVVV8piZnx/rkVBbMUQnorDV1sqP51Nk5eXJNyzbtsV6JEQUdS1VwJeTAThCdLXy3GBwVKKrIXEoPdG/+cZ39Z/JBBx7rDyJ98UXclljo6z804X56lGv9x2iA4FDdJW3iUX9BTAht3PRpwNWhuhElHgi2c7lyBF5PPU3sWi4IXqgli7BtHNR27Oofc69tXNRn79sNu8huq/nxPp62c6MiCgcVVVAYWH4r6EpfvBXSERhsdlkVSIr0aOjTx+G6ERJyT6xqOMlmxqaq5Xo4bRzMZuBCRN0KPfRteTAAfmR0+nTHX3RGxpkgBEuNfRXuYfogdq5qLSaWLSlxcfj1OdqoPtFfu8LEVE8imQ7l4MHZUCdmSl/9jWxaCRD9PR0+dzhq52Lc4jurxLdZpPPAc4Ti/o72bB4MXDVVYHvDxGRNyYT+6G3FwzRiSgs9fXyBTlD9OhgiE6UpITVZVJRwDNE99bOJVCIXlenAPAdPptMMkQ/7TTZF10IGaKr4Uk4DAbXcbW1Er2tE4sCPqrR84cCuQN975CIKE5Fsp2LOimeIp8+vIbOoYbo6rrBhOgGg+O+qW1b3CcWDSVED6Wdi9ns/3mGiMgf5/kkKLExRCeisNTWyq/h9sal0PTtyxCdKCkpeiC7t8siNUT31s4l2J7odXU6+768UUP08ePlSdM1a2Tg3NYQPZ4q0QEfIfrm/wCrWXJIRImntTVy7VzcQyAtKtEVRYbhLS3+13M+3gOOdi7ulehGY9vaufh6nFpb2z7XCBElr0OHZDsXSnwM0YkoLDU18sWpezBBkcFKdKIkldkNOH2zyyI1FPbWzkWnk6FEsJXo3kIBi0W+2C8pkQHDpEnAsmWRb+cSqUp0i8WzEj0lRe7Ta4gurEDLQb/3hYgoHkWynYtaia7SYmJRwLOi3Bv3EF2Ldi6hhujBzDVCROTNoUOsRG8vGKITUVg4qWh09ekDbN2qzZsgIkog5iPA7jdcFvlr5wJ4rw50p1aiewvRDx7Nj9WwpKwMOHxYm3Yu3kL0Tp2A+fNlaO+L88SpzhOLGgzhtXNRFD+TixoyOLEoESUks9kzxNaynYtzCORtYlFvtx9IKCG6v3Yu7hOLMkQnonjBSvT2gyE6EYWltpb90KOpd2/5mFdVxXokRBRVjXuB1Ve6LFJDYed2Ls4hsV4f+GPntbWKfV/uTCZ5ktQ5iKitbXs7F/dxqSG6Xg/cdpsj3PC1LSADffdK9NTU0Nu5AH5CdH06YG3ycgURUXyL9MSigSrRGxq8t1Hxx2gMvRLdVzsX5xA9UDuXUCYWZTsXImoLhujtB0N0IgpLTQ1D9GjKygI6dwY2bw68LhG1I8IKKK4v19wr0Z17ogOeE3h646+di9oPXZWdDdTVad/ORQj/wbkz9f517CjDFiHkfVRDFbPZ97beKtEBPyF6p9OBY54ObmBERHHEV4gerUr0+vrQQ3S1oryuDrj1Vu/rWCye7VxSU12P/e490bWsRFdPWBMRhePgQYbo7QVDdCIKC9u5RN+QIcC6dbEeBRFFlbDKyUWduE8sqnU7F/cQPSfHEaK3tZ2L87hsNtlmIBjq/evQQYYtauV5oJ7oatjurRI9M9NHiJ6aD2R2CW5gRERxxFuIrlU7F2+V6FqF6C0twI4dwIIF3tfx1s7F/dgf6Z7orEQnonCxEr39YIhORGFhO5foGzoU+PXXWI+CiKJKnwkUj3dZ5K0S3b2dSyQq0RsbIzOxaDDCDdHVxyGkSvQDy4DFQ4IbGBFRHIlkO5fKStfnBm/tXNpSid7cLMfvLcj21s4lUIgeqJ0Le6ITUbRwYtH2gyE6EYWF7VyijyE6URLK7Q9M+J/LIrXy3Fc7l2B6oqshurdQwP0j+2pP9EhNLBoM5xC9qcmxH4PB/0mDsEJ0TixKRAkqku1cKipkSy3n/WpRiW40yuO62t/cW3909xDd2wnUUCYWtVod6ztfxxCdiLQmBCvR2xOG6EQUFrZzib6hQ2U7Fy3eCBFRgmjYC2x9wmVRoHYuwfVE993OpblZTtimcu6JHg8hunslur/7q94eJxYlomQQqXYuFgtw4IBriO6tEr2uznt47U96uqMSHfAfomvdzsV5YlF/jxPbuRBRuBob5Uk7hujtA0N0IgoLK9Gjr18/+YJ/585Yj4SIoqZ+B7DpHy6L1PYtkWrnYrG47k/tiR6v7Vz8Vd4HqkRvaPB2YxmAhZXoRJR4ItXOxWSS+ygrc92v83NNa6sMikKtRE9PD70S3T1Ev+MOWSlvNDpOAnsL0dV5ONjOhYii5eBBeezJy4v1SEgLDNGJKCzsiR59KSnAgAFs6UKUVPxMLOqvnUuwIbq39SwWR1ABaNfOxT3sDiVENxiAUaOAXr3kmNWwxflx8CasSvSsnsDZ5cENjIgojrS2RqadS0WFrKJ03rf7sVc9KRluiK6G501ePggUqJ3LE08AS5bI8WVnA0uXuvZvVymKo+I8lBDdYmGITkThOXQIKCjw/lqUEg9DdCIKC9u5xMbgwcD69bEeBRFFjZ8Q3V87l0AfO6+t9d3Oxb0SPR7auSgK8OOPjirIQ4fkWBQluBA9pJ7oigK0HAJsTEyIKLFEqp3L/v2urVwAz3Yu9fXya6ifWAqlEt1XOxezWRaZqNdPmuT79tSwPNRKdLZzISJvPvoIOOcc39ezH3r7whCdiMLCdi6x0b07sHdvrEdBRFGTXgZ0/p3LIudKdCE8Q+9gKtHr6323c2lt9QzRLRbg8OG2t3NxHlcoIboqLU1+PXDAcSJX84lFrS3AR/0A8+HQBkdEFGORaudSUSHbabnv1/nYW18vj6uhVluqx+JgeqL7audiNsvnFPf77o0alnNiUSLSwp49wO7dvq9niN6+MEQnorCwnUtsdOkC7NsX61EQUdTkDQFGPOSySK08V4OKlpbQ27molei+2rm490QHgMrK2FWiq9RJ4CorHb0l/VXeq8u93Y7viUWPJvVW9kUnosTiK0TXop2Le4jurRI91FYuQHg90Z3budhsjucy54lCfXGuRHdenyE6EYWjocHxSRxvGKK3LwzRiSgsbOcSG507sxKdKKlU/wpsmO+yyLmdCyCDAPcQPdDHzuvrFWRlCZ/tXJx7ohuN8rZMpthNLKrS6WRA5ByiB6pE1+sdk8k589vORZ8BWLw05iUiimNms+vxG4hcOxf3SvS6Ou+TeQYSSk90b+1c1Gp0dXkg/tq5+KrYZzsXIvKlvt7HRPVHHTzIEL09YYhORGFhO5fY6NyZlehESaV+B7DnLZdFVqsMpJ0r0Z0rx93bprgTQk4sWlAQXDsXRZHBiNUa+0p0QLZ0qawMrp2Le794Z5mZPkJ0AEjNB2wtoQ+OiCiGotnOJZaV6N5C9LKytofo/iYWtdna/jgSUftTX89K9GTCEJ2IQma1yrOtrESPvi5dgCNH/D9RE1E7EmBiUSD0di6NjYDV6jtEd2/nAjiqC9sSortXyLclRD9wILhKdG/3ReWzEh0Azt4H5A8LfXBERDEUyXYugSrRY9XOxWyWy048ESguDnx74fZEB9jShYg8NTT4r0Q/cgTIz4/acCjCfLytIKKk1bAX+LCPrMA7rx6o+w34xClISM1H3UmHMX34YnRafrpjed4QYPqvwLangR/+z7G843Rg0mJg7V+BDfc5lvf+IzDmaeC72cDORXJZh1OBSR97/9w9AQAKCmSAtG8f0L9/rEdDRBHnJ0RXg3OzObSJRWtq5Nf8fN890d3bAagheqzbuQCOSvQhQxz79dfOJawQ/cByYP09gDianOQOBo55HNj9BrDtCcd6JZOBofOALY8Ce9+Wy/rfDHQ+I9S7RUTUZt5CdK3auXirRNcyRA9mYlF/7VxeeCH0SvRQeqID/p9TiCg51dfL44l6nHIXbqsrik98CiAiV4d/ArJ7A5M/BfTpQE5/4CznJtwKaqqApRunwHbmXkcAohx9xuh+EdDpNMfquqMTtA34C9DHKVw3HC1nHPkwMOxewNoMfHsJ0HIISCuK1L1LeIrimFyUITpREsjpD/Sc5bIomIlF/fVura0F0tNtSEtTgq5EV9t3tbWdi3Pg0tYQffx4+bO/++uvnUtGhp/KIb0R6Dnb8bPxaHlj3hCg1xWO5Znd5Nei42QLmJ2LgIPfMEQnopiIRDsXq1V++idS7VwyMlwr0f31RPfWzkWtRPcWXnkTTjsXVqITkS/qJ8QbGhyfknTGEL19YYhORK7qtgL5w4GMzvJnfarj+6Nqa4HU9HTosjp7bp+SJS/uUnPlxZ2xAECB/P6U72T/3/JVjuvTyoDC0UDNRnmdKrMHkDdIhv5NFY7lOQOA7F5A1TeAudqxPH8kkNERqPxCBvaqouPlGMo/ch1X6Yny64EvXZd3PA1oPSL3b6cDyqYA+jTP+xcBnFyUKInkD5UXJ4HauQTqiS7ntBDQ672H6O490YHIVKILEd4Hj9LSgB07gp9Y1FfVYGamn9ZYRcfKi7vcgfLirnC0vGT1BBS+vCai6LLZ5CdrWlu1r0Q/eFAeS91DdJ3OdVLPurrwK9EbG4OrRPfWzkW9LtjnEzX8DydE5+SiROROLcior/cdonMuufaDr/KJyNXAWwCr/8nUamsj+ERQ9R2w6R+On8tOksHE/k+AnS87lne/SIbou98AKpY4lve/SYbo258Bqtc6lg9/UIbom/4JNFU6lh+3UIboa//qOo7Jo2QLBfflHU8DGve5Ls/uA3Q8FTCtAGq3OpYXjJSX/Z8AjeWO5SUnADn9gD1vA+YjcvvSicE+QpxclCiZVH4lT+YNc7TDcm/n4j6xaKB2LrW1QFaW8Bm2J0I7F+c3KuFOLJqdHYH5JYqP13iHRESBffgh8M9/yuOq1j3R9++X7b/S3GpF9Hr5/KOqrw+v2jKUnuje2rmYzcFXoQOsRCcibTlXonvDSvT2hSE6EbkyrQAKRgEw+lxFVjFG6PZ7XCQv7gb8WV7cjXhIXtwdt8j7/id/6n359DXBL88b4n35oR+Bis8cP+vTZIhuWgEc/tmxPKOzDNErPgOq1wCttcAZW7zfvhddurASnShpNOwGDn7vskitrlYUeTGbQ2vn0twMpKUJj1Bb5Wti0bQ034F0MLQK0dPT5Vd1cmt/lff+JhbNyopAiL7lMaDFBAy9W+MdExH5tmcPsG2bfI2odTsXb5OKqvt174me6+VDp4G490QPtZ2Lt+p7f8KZWFR97mKITkTuAoXotbUM0dsThuhE5GBtAb48EThjG5Dlu/FtbW14L5LbvQE3yYu74fO9rz/2WcC0EvjWy0kDPzp3Bn75JYzxEVHiEVZAcU2a1Up0QAbE7kFAoHYuahsVXyG6t3YuOTltq0JXx6VVJTrgWonu66SB82PlTq1ED7etjFfmaqBhj0Y7IyIKjskk+5bn52vfzqWiwrOVC+B9YtFOnULfv3Mlemam70r0tDTv7VyiWYnOdi5E5M65nYs3rERvX8J460JE7VbdVlk9ndnV72oRbeeSbApGASctDWmTzp2B8vLA6xFRe2CTraWcOAfD6sfpQ2nnYrPJUMVX+OyrEr0tk4o6j0utiNQyRA+3Et1m8171GDZ9KmAza7hDIqLAqqrk1127ItPOxVeIrsXEos6V6Pn5/tu5ZGTI23Vv5xJqJbrVKi/O4bu/kw1s50JEvvirRBdCXs/spP1gJTpRe3ZwNbD/Y8fPOf2A7hfKyTVNKx3LC48BOp0mJ9fMHexR9eguou1cko0uFUgJray/rExWBRFREig6HkhzTS+c+3wbDN7buQSqRNfpfFes++qJ3tYQXQ2zncPztoTo6ieiwp1YVK0Kqqtre5W9nY4hOhFFnxqiNzfHrp1LuBOLZmQ4KtHz8vyH6KWlwIYN8riekiJvP5xKdPPRw7Tz8wN7ohNRONRWVt4q0Rsb5XGFlejtB0N0ovZo9VVA0VggoyvQ6NQ821ggv5prXJdn9z56fZH3diRu2M5FQ/W/AZ8MA84PvhSyQwf5Zkl9Q0FE7VjeYHlx4q0SPZSe6LISPfSe6Fq0c3HfvxaV6IF6ovtq56JWMtbXy2BGE53PBkomabQzIqLgqCE64PnaUIt2Lv36eS7XshK9pUWGTR06+O+JDjjGov7c2Bh6Jboaojs/VmznQkShslrlMatLF++V6LW18itD9PaDITpRe9RUDlgagLIp8uKu6+/lxV3vK4LaPdu5aEhvlL3oQ2jKW1oqVz1wQLZ2IaJ2bNerQPUvwIh/2Bc5V1d7a+cSTE90nc532O6tJ3qXLt4rEUPhHKJrUYkeTE90f+1cAPmmpq4u9DH4lNUdQHcNd0hEFJjJJI+JR45Er52Lt4lFww3RAaC6Ghg40H8lujP154aGyFeic2JRIvKmsVF+LS31XoleVwcYjSx8a0/YE52oPbJZAF3kjtQ1NaxE14zOCEAAIvjSlpQUoKiILV2IkkJTJVC/y2WR+8SiobZzUXuih9LO5YwzgA8/DO8uqJxDdDWoCDdET0lxhOmB2rn4qkQHZODjayKosOx6DVh2uoY7JCIKrKoKGDlSfh+tdi7eJhYNp9rSOUQP1BPdWVsq0Vta5PehtnNhJToROVNfQ5aWeq9Er6tj8WF7wxCdqD0SrYASuQ+asBJdQ3qj/GptCWmzDh2AysoIjIeI4ouwBjWxaCjtXJx7ogfbzkULWoboeXmOD++EO7EoIEN0TSvRAaC1RuMdEhH5ZrEAhw8DI0bIn90D5ba0c7HZZIgeyYlF1ROiNlvgnujOtKhED7WdCyvRichZQ4M85ubl+a5EZyuX9iXmIfq8efOgKIrLpayszH69EALz5s1Dx44dkZ6ejkmTJmHDhg0xHDFRAhjxT6DjtIjtnhOLaiglDzivETCENmMfJxclShJeQnTnPt/e2rkEU4murhfNEF0ds1Yhuspf+xp/E4sC8o2NppXonFiUiKLs4EH51VeI3pZ2LocOyWN2sO1cwpmAWqeT7Q4AWYkeqCe6KhaV6AzRiciZevIwK8t3T3SG6O1LzEN0ABg0aBAqKirsl3Xr1tmve+ihh/Dwww/jscceww8//ICysjKcfPLJqNO8bIioHckfBqR7ebWrEU4sqiFFAeq2ALbWkDbr0IEhOlFS6PJ7jwmfA7VzCbYnuq9K9EhNWqxlJbrzc1CgnuhRbeeiSw35k0VERG1RVSVDmt695c9atnOpqJDHW28TSztXogshK8jVqvJQqfv31c7FbPa8X3q9fBndlkp05+cgf48T27kQkTdqiJ6ZyUr0ZBEXE4saDAaX6nOVEAILFizAnXfeiRkzZgAAFi1ahNLSUrz66qu48soroz1UosTw+Xig343eJw/VANu5aOzTY4AztgBZPYPehCE6UZLI6eOxyFs7l1Ar0QP1RI9EJbpOJ2/XatW2Er0t7Vw0n1i0dBJwwjsa7pCIyI3VDPz0J/uPBeVA987/QteSBjw15+8o/A3AfgBKCnDMY8iwbMZ9v/s3sProBsYSYNg9QNV3wM6Fjv1m95Mnbcs/BsrfBwDk7wWuPvVYAH/wGIZzJbr6NdwTsOnpofdEV28v3Ep0g8HRFkxdzkp0IgpFQ4MM0LOygJ07Pa9nT/T2Jy5C9G3btqFjx44wGo0YO3Ys7r//fvTs2RM7d+5EZWUlpk6dal/XaDRi4sSJ+Pbbb32G6C0tLWhpcVQB1dbWAgBsNhtsbZmaPIHZbDYIIZL2/icbxdIMAYT/2c0AamoUZGWJSO0+6Sh6I0RrU0i/r7IyYMMGBTZb8KVFPA4QJaBND0FpqoAY+W/7IotFQXo6YLMJ6PUKGhsBnU44BdMKWlvh8/hgswnodAJ6vfC6nsWiuOxPSwaDArNZHK3m00EIW8i3c+KJQKdOjkOmDOa9Hw9bWwG93vexMjNTQV2dhvdVSQNSCyP2/EukJb4uSEAbHwB6/gFKapF9UXUTUFCooLhEwaBRRUjNAYQCQDFA2GwQ0ONgfRHE0aBZpObLY5Qu1WU/IiXn6PI0+/LDDUBKRhZsDfsASyOQ3du+vgzR5fFVvvXWQa8P/ZgOAOnpCgAFOTk2NDV5HrPNZgUGg+exOiVFQX29DMSDfU2s0yloaRFISXG9HUVRYLV6fz6wWOT4WlvDu3/xjscCovDU1gJZWQoyMgTq6z2PXer1obxnj6VkPhYEe59jHqKPHTsWL730Evr27YsDBw7g3nvvxfHHH48NGzag8uiseaWlpS7blJaWYvfu3T73OX/+fNx1110ey6uqqtDs7dR2ErDZbKipqYEQArpwyr4ooRS2NqO+tgEtJlNE9l9TUwqL5RBMJpZjaKEEqTh8cD8sLYVBb5ORYcS+fZkwmQ4HvQ2PA0SJJ+tIJXSth1DrdDyvr8+BothgMtUDKERzsx5NTQ0wmWQzxtbWbNTViaPXezpyxAirNRXNzS2orzfAZKp1ub61tRQ1NZE5xuv1pThw4BBaW20ASnHwoAmNjaHto7hYXtSHpKbGgNbWApi8POdVV6fDak2DyVTtdV8GQw4qK20+H6tQpRxZjbwNV6Fq3E+a7I8okvi6ILEo5kMo/fVOHMg7F6LMUYn+/uIMGDP0OFhnQ+8Zf0KV80YmEw40FuCBj+/G+fdVuSwHOgFO+7EvVwYCZQMBAP97LwO/HExB45pboG/ah5rBT9pXbWhIR1OTESbTEdTVKQBKceRIFUQYvWNSUgoBpECIajQ05MFkcrkXaGwsRFNTPUwm13ZZBkMJDh9uhhA6mExHgrotm60Qhw83Q6/PdHneMJtzUFfn+XwgBGC1lkGvF6iqqobJFFoLxkTAYwFReCoq0pCamg6brRnV1Z6vNysrs2Aw6Dxea8erZD4WBNsyPOYh+rRpjskPhwwZguOOOw69evXCokWLcOyxxwKQZ4WdCSE8ljm7/fbbcdNNjv6htbW16NKlC4qLi5GTpJ+lsNlsUBQFxcXFSffPkIwUPZCbVwiUlGi+79ZWoLlZQY8ehZHYfVJSMjqgID8PKAj+Ae3XDzh4UEFJCL8EHgeIEo9SkQ60ZiHN6X89NVVBTg5QUpIBo1FWneflZaKkRM7olpWlwGiU13uTlSWQkmJBbm4aKit1KClxbWJrsQBlZZE5xqekALm5hSg8es6wrKwk7B66qpISQAjX4+HGjcDy5bLPbkaG72NlcbGCpibfj1XI9KVQFGtIx2aiWOHrggRj2gSR0RXFHXu5LG5uVtCpE3wedwoKACC014yqpia574wBl0P5/DgY8zOAlCwAsle6Xi/3q7YY69ixOKzJRbOzFRiNAp065aO11XOsQigoKsr1eF5KTVVgtaYjK8v3/XeXmqogNTUTKSmut5ORIT/l5f58oPZPT0sDcnLy2+X7Hx4LiMKj1wN5eQrKylK8HrusVgUlJfB4rR2vkvlYkBbkG5KYh+juMjMzMWTIEGzbtg1nnXUWAKCyshIdnKYEN5lMHtXpzoxGI4zqFN9OdDpd0v0hOFMUJekfg6Qx6RMoxsLwms0GoE6YkZeni8Tuk9PpG+D7tKB3HTsClZXy/9rPOUUPPA4QJRoboBigOP3PWq3yo+s6nQKDQe3tqtiPyWqvc53O18HBBp1OfgzealVc1pMVdzJkiMRhQk5E57g9g6HtzyUpKTL4d74fP/4IvPIKMHOm47HyJidHTsrn+7EKkSENsJldfl9E8YyvCxJI7UYgb7DH8aWqSp5M9HUck61OwjvOHTok22fpCoYBOQOgfDwQOHsfULEEs7POw0UXArp3gNz0gQC+RXrFS9CtvcGxg7KTgRPekk8ufl6wpqfLS0aGguZmz7G2tgJpaZ7PS2pP9Pz84O+fnFhUQUqK6zZ6vTrxtut+1D7oaWkKbLbIPDfGAx4LiELX0CDn18nJka2l3I8f9fVA585+jk973wP2vuv4ueQEoPcVwG8vAAeWOZZ3/p2c727TP4HqXx3Le/0BKJ0MrLkDaNznWD7gz0D+MGD1/8lWXKph9wFpxcCORUAf7+2xk/VYEOz9jbsQvaWlBZs2bcIJJ5yAHj16oKysDJ9//jlGjBgBADCbzVi+fDkefPDBGI+UKI7p0wAlMv/etbXyRWaGRkV7BODAciCnP5Du++Sgu44d5RuKgwdlWwMiaqf6XQcI17Yq7hOLyr7fjuv1ekflnDfqxKJ6PY72JnfdNxCZiUXV/VosbZtY1J23iUUtFnlyIdDEollZjpPDmtClArb291F/IooDmT2AbjM9Fjc2ypDGF51OhsPhqKoChg07+sNJSx0hTdFx+MSyEh9+BDz/HHDIJAvY9F3PBEpGO3ZgyAJ2LAT2vQ9M+J/P28nIkJXeaWlAU5Pn9Waz/4lFQ6kOlyG653ODr4lF1UlF09M5sSgRuaqvl68lMzNloO4u4MSixiIgt7/j5/SjxcNpZa7LjUfnr8joAticXuSn5MmvWT3snxICABiOfiQouy9gc2pprTcCDXuBn28EelwKGNID3UVyE9ZbpGXLlmHx4sX45ptvUF5ejqamJhQVFWHgwIGYMmUKzj33XBQHmercfPPNOOOMM9C1a1eYTCbce++9qK2txaxZs6AoCm644Qbcf//96NOnD/r06YP7778fGRkZmDnT8wUEER316Wjg+FeAkvGa77q2Vj4RhFL9TAH8dD0w9B6g8xlBb5KRARQWArt3M0QnatfSSgB4VsU5h+iAaxhgMHgPIVSy0s5Rse5MDQu8hRVaUG8z0iF6a6sM0Z0fK2+ysuQbHM1k9wXOLtdwh0RER3Wa7nWxekz3RVHCn+u4qsrpdWZKDpA78Oj32ajTDcaOQwDygKbD8lirpBUAaQWuOzlSANTv9Hs7aiV6Wpo8frsfu1tbgdRUz+1SUmRw5e06X0IN0dWTzWlpDNGJyFVDg3wt6asoo65OVqp7dXAVICzAoDs8r+s03fsxv9v53vfV+wrvywfc5LnMWCzD+P0fAV3P9TE48iWkty6LFi3CgAEDMGXKFDz99NPQ6/UYPXo0Tj75ZHTr1g3r1q3Dtddeiy5duuDSSy/1O/mnat++fbjwwgvRr18/zJgxA6mpqVi1ahW6desGALjllltwww034Oqrr8bo0aNRXl6OJUuWINvnXyIRQVgAXWTKCGtqZA9E0pDeCNhaAq/npnt3GaITUTv285+Btbe7LFLbuQCOr+6V6P7e6KuV6GpVuDP152hVomtxQtbXyYBgKtGzszWuRIcNaNgTftknEbVvQgDNJqCpUl6aj06gaWl0LGuqBFqOThzfWn90WQXw9TnyqxvZqsX3TfoKh4Nx8CBQVOR7v+qxt7XVz8nXjM5A416/t6MG6OlHiyJb3F4WB6pED+XErxqiu2/j62SDenI5Lc3zOZOIklt9vaxC91WJXlvrJ0Tf+RJQ/lFEx+eVogDdZwK7Xov+bbcDQb9FGjVqFHbu3ImLL74YL730EkaNGuW1Z8zhw4fx3nvvYeHChRgwYABeeuklnHPOOT73+/rrr/u9XUVRMG/ePMybNy/YoRKRsAC6yJQRqpXopCGdEbCGHqJ368YQnajdE1a41zx4q0R3D9H9vdGXVYsCOl1sQ3RF0SZE93Z/1XYuUa9EbzkMfDwEOL8F0IdQGklEyaHyC2DpVMfPOf2B0zcBu18Hvr/MsbzsZGDKEmDzw8C6uXJZSh6Qmu+xy2BC9La0c/H1iUfnE7YBQ3TzYXmiwOC9H6RzJToANDe7to70V4leXx96JbqcS8Rzub8Q3WhkJToRuaqvl4VtWVnyhJ778dhvJfqR9UCvOdEYpqduMwHL0dT/q5NlVfyYZ4CuPirdyS7ot0innXYabr75ZuQESM8KCgowZ84czJkzBytWrMDhw4fbPEgiCpHNEtGe6AzRNZY70LWHWZC6dQN27dJ+OEQUR4QVUFxT4EDtXAJVoqvzu3mrRI9GOxc1RNdqviL1MXDeZ8wq0dXg3GZmiE5EnjqcDFzgZd6EnrNlf1q7o2cYB//V8VF/RScvbtSTkr6E286ltRU4csR3JbqcKFp+b7H4ed4wFgOnb5VFIz64h+juLckiUYkeSohuMHj/1BMRJbfmZnVSZPlzU5OsSlf5DNGFAGrWA3lDojJODzl9gBEPye/HPAtYm4D0jrEZS4IJOmW7++67Q975hAkTQt6GiDRwdkXE2rk0NLg+MZAGxjwV1mbduwNffqntUIgozgibR4husXiG587V1oHe6PvriR7NSnStQ3Sr1bFP50r0qE8sCrhO+kREpGosl+1cCka4LvcRkPtc7iRQT/Rw27kcOiS/BtvOxeexVlGAtGI5uZ3O+5sINUDX6WRVeXOz6/XR6onu7blTrbIP9CkvIko+LS3yUypGo+Nn56yksVG+1vRgbQY6nALkDIjKOP3K6u74PtzeX0kk6Lcv69evj+Q4iEhLNesj9ga+udlRJUIaqVgCHP4l5M3YzoUoCYz8FzDwVpdFwbZzWbfOe0Csvj721xNdq4DbnTo2LUN0NQhxDj+cK9H9tXPJzta4nYsuVU6+Z/NSaUpEtP9jYM1tmu4y0PFUUcJr51JVJT99avRRQO5cie63nQsArPgdsOcdn1dnZDj6oaeluYboQvjevxqih1qJ3tLiuY2/SnQ1RGclOhE5E5YmFKXtQKp5B7LTa2E2A2jYC9TvAOp3oDRzB9JTG+XK9Tvty9FcARz/is8WVxS/gn77MnToUJSUlOC8887Dk08+ic2bN0dyXETUFkuOlZUuEaCebSUN7VgEVHwa8mZs50KUBCwNgHANZINt53LllcD773vuUq1a9NVL3GDQple5N2r1eyQq0Z3vi1qJHqidS1aWDGs0qy7UpQDn1gDppRrtkIjaFVur4xMrWu0yQhOL+ptUVN1vUD3RASCji9/JRbOzHdWaaWmu7VzU47OvSnSbTbtKdG+Pk9qqhu1ciMjdtWOvwjmpvWH4tB/OGfOODNGXnwZ82A/4sB9+mtcPea3fyJU/GWlfjiXHy5OqlHCC/rDuXXfdheXLl2Px4sV4++23oSgKSkpKMHnyZPuld+/ekRwrEQVDiKMv0CPT0JaV6BGgD29i0e7dgZoaecnN1X5YRBQHfrlZzpug9sSFa4sSf+1c6uq8V1mr/XO9BQIBg5A2inQ7F1Vrq3w6bG4OXIkOyIr9vDxtxoOKJUDxOMDA3mdE5CYCr9ED9UQPN0T3N6koEMLEooCcXLRxn8+rr7gCuPBC+b17iG4++uFaX5Xovq7zN+5Qe6KznQsReZOmr8Vaw78x/Pzr8eofgDvMAKb/CkAeH1MNQLla23hudczGSdoJ+u3L3/72N3zxxRc4cuQIVqxYgblz52LgwIF4//33ceWVV6Jfv37o0qULLr30UrzwwguRHDMR+SOOvvqL0MSirESPAJ0RsIUeouflyY/ZsqULUTvmpSd6sJXojY3e27k490T3VYkeKdEM0QH5GPi7P2rfSk1bunz9e6Bhj4Y7JKJ2IyUHyOyq6S4D9UQPt51LoEr0kNq5pHcGmit9Xp2TA3Q8OqddSorrc5N6PPdVie7rOl/USvRQ2rkYDGznQkSebn3/VexLvwqAPA61OL2lV9tSsQCxfQn5bVJKSgrGjx+P8ePHAwDMZjNWrVqFZcuWYenSpXjllVfw6quvYs6cOZoPloiCIKxAWgkr0RNJwQhACe/31b27bOkydKimIyKieCGsIU8sqlbLNTT47omuKMJvO5dIcQ7RtWoZ460nunq/GhqAggLf2+p0soWA5n3RObEoEXnT6w+a7zJS7VwCVaKH1M6lz/8BPWcB+z9xLFP0QIepQHMVcPhH++KxPTJhtU6QfYVr1kPUpgOYiJQUzyeNcEP0lhbZh919ub9KdG8nnokoueWkViA9JQ9AKlJTHZ+cARyfqFHne6D2oc1vk7Zv347169dj3bp1WL9+PYQQyM/P12JsRBQOfSow40DEds9K9Ajo/cewN+XkokTtnKL3OMkWzMSiVqsMkBsaPHfprxI9kdu5eKtcrK/3384FkO2wamq0GQsAGaKH0aKLiJLA4V8Aa6Ns+aSRSIbomlWi6wxAgwn45S+OZYZMGaLXbXVZftm4nmi1TgAO/wD8+nfk1WxEz5JtSEnp5bHbcNq5+OuJ7q1inxOLEpEvd0+/HAXiEgCzYTS6huhqJTqzk/Yl5BB9y5YtWLp0KZYtW4Zly5bBZDKhuLgYEyZMwNy5czFx4kQMGTIkEmMlomBYzXKSik6nyxesGmtuZv9tzVV+CZgPA13PDXlTTi5K1M6Ne9VjUaB2LmpQ7audi7+e6JGuRFer3wO1Hwh1n4D3SvRA7VwA2UagtlabsQAAcgdF7NNgRJTg9r4DtFRpHqL7+2RPuO1cDh0Chg3zfX1IlegAkN0LOG295/LicS7Lr78NeHAMgC4zgC4zYH2rA0pzD0Kn8x2iR7KdizqxaDghuskEXHMN8OabkZuwm4hiR68zQ58iD0De2rmkpmr3epfiQ9Bvky666CIsXboUBw4cQFlZGSZMmIB58+Zh4sSJGDBgQCTHSEShaK0Fvj4bOL8JGnzYxAMr0SPg0PdAzaawQvTu3YHvvtN+SEQUJ46sA1ILgIxO9kXOIbqvdi6NjTIM8NUTXVG8T5KWiD3R1f1464ne0BC4El3zEP3ELzTcGRG1K7bWsFv4+RLopKSvCutAjhwB/H3APKRK9BC4h9VVnR+Cqb6z13W1rkTXup3LI48Ab78t9xFK0E9EiUGvtEJ/9ADkrZ0LW7m0P0G/TXrttdeQlZWFm2++GX/84x/Rq5fnmWAiigPi6Ku7CE0syp7oERDmxKKArER//XWNx0NE8WPNbfKTRX2usi+yWj3Dc/cQXQ2FvbVzca5E9xaiR7qdi9WqbYjuvF9VsBOLAhEI0fe8AxQeo/nkgUTUDthaZcsnLXcZRDsXwHECNVjV1YFD9JAq0YPk/tx0KPsSVHl5LgPa1hM9lBA9nIlF6+qAxx+X31ssDNGJ2qPGlnQUG2VS7q2dC3OT9ifoty//+te/MGXKFDz33HPo27cvOnfujIsuugjPPvsstm7dGskxElEo7CF6gNK7MLW08MlAczpj2P1z1YlFiaid8jKxaKB2Lnq9Y6JMX+1c1J7o7oGAGhZESiQq0QHPcMN5YtGoh+gb7gWq12i4QyJqN7J7Abn9Nd1loOOpGpyH2hf9yBEgL8/39SG3cwmS+/G8ZN+fMfP4/3pdN9xK9FBDdLUSPZQQ/b33HD3l1RO7RNS+nPzAUrQWnw6AlejJIui3STfeeCNuvPFGCCGwZs0ae0/0W2+9FTU1NSgtLcXEiRPtF7Z4IYoRRQ8UHBOxxnvNzWznorn8YYASXprUrRtw8KAMijIzNR4XEcWesHmE6BaL/3YuBoMjFPbXzsVXJXqihujeJhYNpp1LRCYWtZkDr0dEyafvNZrvMlBPdPVYa7MFPh46C6YSPRrtXJTWQ+hZssPrutHoie48sWgo7VyOHAF69gS2b2eITpRIbDZgwgTgk0+A7Gzf6wkBHNtzOdJ1gwEUeu2JzuLD9ifkt0mKomDEiBEYMWKEPVT/5ZdfsGzZMnz++ee49tprAQCWUBuGEZE20jsAp66O2O75ZBABJSfISxiKiuQZ7j17AJ67JGqH0sqAlDyXRd4q0UNt56LTiXbTEx3wXYkek3YuDNGJyJd978t5LsJ83edNMD3R1fVC2WegnujOlehatgJzP56bUYCCzGqv62pZia4ogUP0UCrRW1ocBS4M0YkSR0MD8M038kSivxDdbAaev+IypLc8C2CyRyU6c5P2qU1vX2w2G1avXo0lS5ZgyZIlWLlyJWw2G0Q4M5cQkTZaDgHbno7c7jmxqPYOrgZ+/XtYmyoKW7oQtWvHvwR0/b3LIm8Ti7q3c1FD5FAr0bWsJvQmWiF6TCcWLToeSCvRcIdE1G7seRuo+lrTXUainUtTkwyD/LVziVYleosoQH7WYa/rtqUSPdh2LuoJglAnFjWbgYwMxz6IKDGoBSiBTn6ZzUCKoRUpRnkgcu+JznYu7VNItUY2mw0//vgjli1bhqVLl+Kbb75BQ0MDhBAoLi7GtGnTMHnyZEyePDlS4yWiQBrL5UR0fa6MyO55RjUCmiuA8o+AoXeHtXm3bsDu3RqPiYjiw/5PgZz+QFZ3+6JAlejOwYD3nuiKz57oka5EVwP+SE8sqgYWzpOw+pKTA2zapN1YMOJBDXdGRO2KzQwo2p6pDHZi0VBC9CNH5NdAIXo0eqLv01+AV36sxwwv64ZbiS5EaO1cwplYVC08MhhYiU6USIIN0VtagBS9I0RnJXpyCPpt0mmnnYaVK1eivr4eQgjk5+fjpJNOsofmgwcPjuQ4iShYwgLoIpeAsBI9AnRGwBbexKIAQ3Sidm393UC/6z1CdPde6O7tXAD5MXJv7VzUSvRYtXOxWqPXE129zh/NK9F3vQ5kdgOKj9Nwp0TULthaAZ32IXowPdFD+bB4dTWQleX/+SBaE4vW2HrjN++F6GFXogOhTywaaohuNsv3TCkpDNGJEolagBJMiL6toi8mZGQBgEdP9KYmhujtUdBvk7799ltMnDjRHpoPGzYMSoQmLiSiNrC1AkrkEhCeUY0AvRGwhh+id+/+/+zdd5xkVZ3//9etqs55erpnpofJMzDAkJMEYSSKiAHF7FfMiquyugbEgPoTlF0Vd3FdFUXcNYsgJiQoICAZJEhmGCZ393TOXVX398fp21VdXeFW1a26t7vfz8ejH92Vbp2e6brhfT/3c+Dhhz0bjYgEiR2bNfFwuolFU9u5ACxZAs8/PzuwdgKXTBOLzqd2Ls57ZtPU5HGIvu0aWHysQnQRmW3JZmg6wNNF5uqJXkg7l1yTisLsdi5enYBNXZ83jt3Kz97xb8D9s55baCU65B+i59vORZXoInNTPpXop33tVib/P3M7XSW62rnMP643dXv37iXk5dGOiJRGRRN0vKJki1clegnUr4f9P17wy9euhd/8xsPxiEhw2DGwZpZSu5lYFKC93YToIyOmonB6kVOBS7p2Ll4GIemUe2JR5z2zaWyE/n7vxkK4ShOLikh6+33E80WWqp1LtlYuznLLUYk+Hq2jvWF72ucWU4meTzsXpxI9nzB8fNxseysq1BNdZC7JJ0R/78k/gInXQWXzrJ7oKj6cn1wfvihAF5kjmjbCS35QssVrY1ACdStgwwcLfvm6dfDccx6OR0RKqr8fvv51uOwyF09uORyqZk5SmS5ETw6KnZ/bp16W2tLFqUR3WqAkX+JfjnYuToju5QWNqScEJicTQUnZ27mEKhWii0h6T3wduu/2dJFuQ/R827nkW4leqhB9eLKFxqqetL9AOSrRnSu01M5FZGHIJ0T/1ts+AON7gfTtXFSJPv+4Pkw6+eSTXS/UsixuueWWggYkIkUaeAZ2/Bb2/7eSLF6V6CUwvBXufT+87IaCXr5uHfT0uKsaEhH/ffSj8NBD8OST8LrXmc9wRsd8b9ZdySF6am/05J9bWszB+9CQae3iMJXo9vRr4/HEa+ZyO5fkSr9o1FQADgy4q0T3NERv3wyVTR4uUETmje3XQc0yWPwSzxaZ66RkIe1cCqlE96rIJrVtytDkIipqJiE2ApG6Gc8tV0/0SCR7O5c77zSPH3NM4r7xcTMuhegic4vTEz3XFSQT4zYV4ej0PBeaWHRhcB2i33rrrTQ2NrJixYpSjkdEijX0PDx/VclCdG0MSiA+CXv+WvDLm5th0SJTjX7EEd4NS0RK44kn4DOfgeuvh698BV72Mjj99JlB97RnvwdLT4X6tdN3uW3nUltrgmTnYMCR3BM9dXmlbucSDptgoRw90evqTDjuphJ9cNDDMa39fx4sRETmpRJMLJqrJ3oh7VwKqURvaHC//FzLTV6fD000c/5fHuO/3zT7AKScPdGzVaL/5Cfm+Cg5RHcq0dUTXWRucVuJPjE+lbJPrdNT27loYtH5yfVh0tq1a3n++edpamriXe96F2984xupq6vL/UIRKS+7dBOLRqNm51EbA4+Fpvrn2nbB/Q2cli4K0UWCb+tWMyHwpz4Fhx4KP/0pfP7z8KY3wbveBbfemvTkJ78JdatnheipFejpJhatqzNfqe1cnFWN85poNFHFV452LiMjuUOffKUL0Z0+8G4q0W3b/Dt5EgJt/aVZp695mwcLE5F5JT4JlrcheinaubipRHdCdNsubTuXyckQvRMrzRwhzDwr6qoSfawT7nkPrHgdrH0H56z5BOdedD/rlgE3A/t/Apa/gs3V7+CYU1+Em8EGnqi+jANOOGrGxKKZQvRYzBQaJVMlusjc5L6di81tz5zJSeFawHzek69sHBszk9fL/OL68OXZZ5/lr3/9K2vXruXDH/4wy5Yt4z3veQ933XVXKccnIvmKR0sWojs9vtTOxWPhqX/Q+Hj252Whvugic8PoKOzZA6tWwcEHw/btpj/6X/5iJgi+7Tbo6kp6QZqJRaPR7O1cnPvq6rJXoie3cEle9lycWDQ13IhGE4F4rt/HeZ5nk4v2PgTd2j8WkTTWvQsaN3q6yFzr00LaubipRE+ucC9liD4xAd88/dC061VXlejP/I/pWdxyKABP9p/BD297F/8ce9fU/8e+ALwYP4cbnjH3PWe/i7e/bznc8QaWVj4wXYmeqb1DuhA9uSe6JhYVmTvchuhjE5V8+Jo/TrfwS9cTXcWH809ehy8nnXQSP/7xj9m1axeXXXYZjz76KCeccAL7778///7v/86ePXtKNU4Rcat+Nax6U0kW7ewcamPgsYomOPb/ZgVl+VCILjI3vPiiWYc6rVs6OuCUU0w/1d/8xtz3xBNJL0gTohfbzsWpAk+uRHfMl57oTjsX57Fcr3X6p3tCE4uKSCb7fgiavA/Rs13IWEg7l74+d+1cnOWWthIdRiYXwUTPrOfmDNHjUdMW7YBPQ8shADw7dCr/d8fbeSb6dljzdmhYD8B2Xs1Nz5r7dla9na2dHTD4HA3hbTnbuUSjM8MzSMwjpUp0kbnFbYgeHRvmoy/7rLnCiPQ90TWx6PxT0OFLY2MjH/jAB7jnnnt45JFHOOWUU/jMZz7D+eef7/X4RCRfLYfCAZ8oyaJViV4i4SpY89aiemQqRBeZG7ZuhZUrZwYe++1nwoq//938PCNEX/5qqF46YxnpJhbN1M6lvn52O5d0PdEdpe6JXsoQPRaD//5vc9DiTCzqvGcunk4uGqqEmEJ0EUnj7ndB7yOeLjJXeyxne5NPO5feXncTi4JZ95a6En0k1gLPXmnu6P8n3PtBuPeDHBH/IF943RfNdq/rzun7ufeD8NR/muB92enQ8YpZ404db3JP9Gh0KgyrWkxNqDvnxKKZKtHVzkVk7nGKT3J9buPjA7z7mK9M307tia655Oanog6TnnjiCa6++mp+/etfY9s2++23n1fjEpFCdf4NOm+DTZ/1fNFjY2YHMldVn+TJtuH6dXD0d6FqMdR0QM0SGHgaoknpV90qqFoEfY8nqhwtC5o2sW5dRCG6yBzwwgumH3oyyzLV6A8+CKeemhKiH/GNWcvIVYme3M6lri59O5dQaH61c3FCl49/HE44Ib9KdPA4RF+yGZoO8GhhIjKv7L4Z1r3b00W67Yleykp0L69iSleJfvOOf2PT5rvNHVaF2R8GYmEYHp9qOhyqmr4fgEgDVLfDS344Y/luJhZNhOit1IT2UhHKXomeqSe6JhYVmXtcV6JPTEIl0610UyvR1c5lfsr7MGloaIif/exn/PCHP+See+5h3bp1fOQjH+G8886jo6OjFGMUkXwMPgt7bi1JiO7sDIrHLAsqGuGuN5vbm74A+30YHvwY7L078byjvgsrXwd/fzuMvGjum+iHl/2JtWtPZfv2RNWLiATT1q2mH3qqf/kX2LnT9Et32roA8PCFsP79plUXiQP8Ytu5WJadMUQvZTsXp+1KqXqij40FoBK97XiPFiQi844PE4sW2hPdzcSiUJ5K9OdGT4eDTjd3NG6AQ0z155ZO+O5t8O8ArUearxzyCdHt/f6Ve6+up3VN/iF6ciV68nbWtuFlL4Mf/9hcmSYiweI6RJ+cJBqJEJlayab2RFc7l/nJdYh+++2384Mf/IBrrrkG27Z5/etfz1e/+lVOOumkUo5PRPJlRyFUmjJCXZJUQq94ePZ9m3+f/rlnPjjrrmUxczCwbZtp7SIiwbR1K+y//+z7jznGfL/ttpRK9Od/CCvOmQ7RnQP41DYu2dq5pKtED4cTk4vOl3Yuo6Pm57Ex83vkG6J7NrHojj+YtgKHXuLRAkVk3rAni2rfl06unuhgHs+3nYvbiUVLHaJPTmYuEKmoyL94JFOIblkzQ3TbhljzUbzQAx0bs7dziUYzV6KntnN55hmzrX/wQYXoIkHkhOi5JgQeHq/nzzvfz1lTt1WJvjC4PkzavHkzjY2NvPWtb+XNb34zjY2NADz44OwwB+Dwww/3ZoQikp/45PQlRV5TJXoAbf8t1K0h3HIwK1aYgE4hukhwvfACnHlm5scPOAC2b4fBQWhoAOz4jIlFnR361Ar05EA6OUSvq5vdEz05SEmdkDMaLe163qkYL0WI7pwscEL0fNq51NXByIhHgxnbAz33e7QwEZlXDvs61HmbnObqiQ4zq6xzmZw026BFi7I/r1wTi05MTG0P06iqyj9Ed8adrSe68/6xZ3/Mvxz+Zx6v+klB7VzS9US/807z/Zln8hu3iJSH257ofWNLuOmfV0yH6Ol6oqsSff7JK2kbGBjgyiuv5Morr8z4HNu2sSyLWKYtjIiU1uKXQPWSkixalegB9OyV0HEmtBzMqlUmoBOR4MrUzsXR1gatrfDkk3DUUYAdmxGiO7tXySF6akjsVNc57Vz27p35eHKAnVpZl9wGpRRKWYnunCwYHTX/TvlUotfUJCrZixaqSMxbISKSbO07PF+km/VpPiF6b6/5nitEL1Uleup2KVsl+pFHws9/nt/y3bZzAYjGK2mv3cKzVaZSPVuIntzGAUyYlq4n+h13mH+rp5/Ob9wiUh7Dw2a/MleIXh17gXcf+g3gP4H07VyUncw/rkP0q666qpTjEBGvLDrcfJWAKtEDKBQ2IRtmssKtW/0djohkFo2avue5Lt/ef3/T0uWoo4D9LphxYjQ1RI9EZgcBqZXoL74483HTEz3x+vkysahTSe5UEDkhuptKdG9D9EqF6CKS3h8Pgc1/hNrlni3Szfo0n3YuPT3mJGyu8KeUlejJQdTEROZlV1TAiSfmt/x8QvQJq5X6yr1UViYmUE0nUzuXdD3R77wTXvUqVaKLBNXwsJkTIleIXhnbw9HLfk1yiK52LvOf68Okd7zD+7PmIlICW34CQ8/BQZ8velEPP2wqIlesMLd1NjWArIjpg4+pbn3+eZ/HIyIZ7dplvi9blv15TogOzFqXu6lETw7R011+nhy4zJee6JFIohI9NUR3W4nuWTuX1mPgwM/Ai9fA9msT97dvhvXvgWe/B523J+5fcY75evyrMLoDjvgWWB7+44hIMNhx6HsEyKM5uQtueqLnU4ne05O7Ch3KN7Fotkr0QjjbnmztXBIh+mKaqrun2zTkO7Foak/0ri5Tgf7v/w7vf783v4+IeMttiB6LThK3EyuS1BBd7VzmJ+2hi8w3I1th8NmiF/PWt8Jhh8FllyXuUyV6AC0+FupNE3RVoosE2/btsHRp7qBhRoj+t9fByE6+/GUzEVm6ED1TJXptrfk5NTgJSiV6rtAnH8k90QcHzfd8eqJ7WolevxqWvxKq26FpU+LLqTytWT7z/qr2qfuXwdNXQHQ446JFZA6LTyUyIQ8TYbzvie42RHfW4U6I7tW2I11PdK8CesivEn04vJEP/PIWKiuzTyyaqSd6aoj+9NPQ0WEmE9+1a/bE3yLiv6EhdyF6PDpJnMTKKbUnuirR5yfXm7rLLruMD3/4w9TkcSrlgQceYPfu3Zx11lm5nywi3ohPQqi4vdiREfjFL+Bd70r0RQRVogfS/h+f/nHVKoXoIkG2bVviyp5s9t8f/ud/pm7s+B3Rgy7j6183B/D77mvudg7+I5HZIXFDA5x1ljkASBecmCpwe/r1qSG6l2FFKmci01L2RHdC9Hwq0Wtrob/fu/EA0P5S85Vq+VnmK9WK18Hd501fXSQi88x0iO7tSrYU7VzchujONmYuVqK7CdHHozU8tXt/qirjTE6G8q5ET51YdHLSBG1tbdDUBM8+C4ce6smvJSIecVuJvntwNXfu/Rivnrqd3BPdtpWdzFeuD1+uuuoq1q5dy2c/+1mefPLJjM8bGxvjmmuu4ayzzuK4446j3/MjEhHJKh41LT6K8OCDZufuiCOgry9x//i4NgSB88LPYddNgKlE37Ytc5WMiPhr+3bYZ5/cz9t/f3juuakdcTvGgw+G6O83l4G7aedSWQm//735ni5ET61EL3c7l1isvD3Ryz6xaKFCFdByqM+DEJGSCVebfuiRBk8X6/XEom5DdGe5pW7nUqpKdFftXCbgzn9toTn8TNr2aI7UnujOyWJnYtHpiUqnrvayLNiwQZOLigRNNGo+925C9J0Da3ho+Pzp28ntXJwwXe1c5h/Xh0mPPvoo3/72t/mP//gPLr30Utrb2zn88MNpb2+nurqanp4ennvuOR599FGi0ShnnXUWDz74IAceeGApxy8iqVa+HmJjuZ+Xxb33wtFHQ0vLzBB9bEztXAJn941QtwqWncby5SYcczNxoYiU37Zt7kL0FSvMuvaZZ2CTHeeWv4axLBOiT0yYA/3kSrpsIXGmSnQnRHcqwx1zdWLRSCRRSe57O5dChavgzId8HoSIlEwoAh1ner5Yv3qiQ6Jl2HytRJ+YgN7hVmoje3O2c4nFEttQJ0hLV4nu/DutWwdbtnj3e4lI8ZyrGt2E6Ktq7+CVy34K/Dcws52Lc1JNBYjzj+vDl0gkwkc/+lFeeOEFfvWrX3HWWWfxwgsvcN1113HVVVdx55130tzczOc+9zmeeeYZrr/+egXoIn5oOQQWH1PUIpwQvbl5doiuDUHAWBFz9QFmp3yffbRDLhJU27e7a+cSCsHGjfDEP2048ttc+4dFnHwydHbCnj2wZEniuekq0VOXla4SPTlEKGc7F+f93PTwzUdqT/RQKLG9mjOV6ABP/zdMDvo9ChEphZGd8KsmM8Goh9ysT0vRzgUSgfdcrER3G6LvHV5Mbbg7ayW6c79Tfep8T+2JnvzvVFcXkO2OiExz9iWbmnJf3V0X2sWyqgenbydXojshuirR55+8a43C4TDnnHMO55xzTinGIyLFevRLYIVh00UFL+Lee+Hd7zaXwqe2c1ElesBYYbATe/T77msuDT3pJB/HJCJpbdsGr3+9u+cecAD88wmLvaecz30PwZVXwre/bSYi6+hIPK+6Ovt6OVclup8Ti5ayJ3pFReLfxW0lutMOxlcPfNj0S6/wtt2DiARAfByiQ2B5uPKjNO1c3JzwTV7ufK5E7xlqZY21N2c7FzDBWV1dIkRPrURP3sYmB24iEgzDw2bfuro6sV+ZiR2fxLYSK77knuijo2adUsp9avGH/ktF5puxTojUFfzy7m5TyXzkkbB7tyYWDbylp0AokaDttx9kmbZCRHzkthId4PDD4W+3jVN5y0s4ZP+/sHFjC11dpl1Tcoh+zDHwxz9mXk6uSvR0YcVcDdGTe6JHInO0Et0KT19dJCLzTHwSLO8v9fGzJ7qzDfHyKqbUk7t+90R/13//mlveUMOxjx/H/74duHHqBSdeD/Yk/O11/PDNMPIqqP97CF55B3bPP7jzCx+k4plXE4l8aroqNflkQ3LrBxEJhuFhcyIs+eRXRrEJ7FDiDF9lpXlN8qSiuVptydyjEF1kvrGjpudigXbvhsZG0w99bMyEEs7s8qpED6CVM8taN26EG27waSwiklE0aqrI3fREB9NS67++GaXhDQ9zyME2bW2mJ/qOHTND9FDInDzLxJn0LVmuSvRStnNxerCXoid6pkp0NyF6bW1QQvSI2Y6LyPwTn4SQhyXVzmJd9EQvVTuXckws6ncleld/MxVVcbbXXcBVf4fD3jT1gkgdEIf9LuB/v2+uNvvPV1gsBUbp4PEdB3Pcnr9QUfGpWROLgvmdxoqbxkpEPJZPiP7wjuM5lGUsn7rt7HdOTpoMRa1c5ieF6CLzjR01B+EFGhoybVzA9EQHM1lbW5vZ0dPGIGC2/MRUwaw9DzAh+uWX+zoiEUlj1y4TYCxb5u75hx0GvT0mRTjo4DBtbeZE5lNPwaGHun9fZ9K3ZCbANmnKfGrnktwTvaICGhqgtdXdyd/AVKIvfyWEtaEVmZca1sEZd3u+WDc90efyxKLl7InunGhIbs8yOQlV1SF2NLyB3z8C/7kqZYGr3sAfHjXb5y/UYUJ0u40HXnwJ77WfydgTvbIyMSG2iATD0JD7EP35rg3srdwwfds52Tc+bvZFGxtLOFDxjbcN2UTEf/t/Eta9q+CXOxsOMJcgVVYm+qKrEj2A+h6BvfdP39y40bTjcfqxiUgwbN8OS5e6DwJqa+GgTSZFOPjQMM3N5oD/H/+YWYmeS6Z2Lk7VYrnbuTgHJaXsie60c6mrM5OxumlDFpgQ/YRfQt1Kv0chIqVgRaDW+8+3n+1c5nIlupt2Ls52pbIycSVVOs54ncry8XF4cvdhsObts3qiJ4foauciEizj42a/0U2Iftq6qznK+vD0bWc9NTEBAwNmclKZfxSii8w3jftCXWqJhHvJleiWZdq6OCG6eqIHUGjmpf/Ll5sw6NlnfRyTiMyye7cJ0fOx6dA6zv6P6zn40Gosy1wR9PzzxYfofk4sWsoQ3fk9nUp0cP8egQnRH78ERrb7PQoRKYW998AfDvB8sW7Wp27bucRiZr8/n0p0JwieD5XoqSH64KD5XlU1e1zJnPudIpaJCXim+xBYex6RyMxKdE0sKhJcsZj5rLsJ0Rsqu6ixOqdvJ4fo/f2qRJ+v8j58GRsb43vf+x5PPPGE54O59NJLsSyLCy64YPo+27a5+OKL6ejooKamhs2bN/P44497/t4i88adb4YnvlHwy4eHEyE6mJYuySG6KtEDxgqDndijtyxNLioSRHv2wJIl+b3myKMruX/X2SztMEfcbW3mfi8r0edLiO6MuarKbMfy/R1qahITk/rqqf+CkZ1+j0JESiE+CaHSTCyaqye620r0vj6zjcgnRHeC47lWiZ66nbCs7CG6s738znfgn/+c+dp0lejH73sH3P9hKioSy9PEoiLBlk+Ijj2JFU6s+CIRs35xKtEVos9PeR++VFdX85GPfITOzs7cT87Dfffdx/e+9z0OPvjgGfdfdtllfOMb3+CKK67gvvvuY+nSpZx22mkMOls0EZkpPmGC1QIlV6LDzBB92zZT6SwBsuwMWDF7clGF6CLBUkiI/sZX7ebFby6GuDn6dkJ0t33VIXMlenKIUMqwIpVTkVeKSnQw2yzbzj/Mqa014YfbifdKJuXqIhGZR+ITJQnRveyJ3tNjtgG1te7eOxRKBMdzrRLdTTsXJ3Jw2rnEYvDtb8Pf/jbztck91J0xtzV2Q/ffZ7VzUSW6SHA5IXryFSSZWCkhOpjP9fi4QvT5rKDDl7Vr17J7927PBjE0NMRb3/pWvv/979PS0jJ9v23bXH755Vx00UWcc845bNq0iauvvpqRkRF++tOfevb+IvNKfNIchBcouSc6JEJ02zbB7MaNRY9QvNR2PHScMeOuTZvgkUd8Go+IpFVIiF5XM0lFfO/0idH2drNj74TpbrjpiZ5cie51WJHKqchzUzmZj+QQ3XmffDiTZjsBiG8shegi81Z8EqzSVKJ71c6lp8e0cnS7fg6HyxOil6MSPVOI7lSXOuPavt38OyVLV4keCkcgHs06sajmMBIJFmd9mnwFSSY/v/vtdLZ+YsZ9zskx9USfvwoK0T/60Y/y1a9+lYGBAU8G8aEPfYizzjqLU089dcb9W7ZsYffu3Zx++unT91VVVXHSSSdx1113efLeIvNOPFpUlUumdi6dneb7vvsWO0Dx1JafwCNfmHHXYYfBQw/5NB4RSauQEB3igDWdZrS1mSr0fCq43VSiJx8klLoSvZQ90SERohfSzgUC0Bd9zf+D6jyb54vI3LDsdDj9Ts8X6+XEovkGP6FQedq5+NUTfWgosU2MREyo3t8Pvb0zXxuLme1IciW6NXVlkSYWFZk78mnn8uzuNdiNM+e5cNo0qRJ9/iqoXPXxxx+nu7ub1atXc/LJJ7Ns2TKspNPVlmXxrW99y9Wyfv7zn/Pggw9y3333zXrMqXZfknLUuWTJErZu3ZpxmePj44wnndZ1wv54PE7c7bTk80w8Hse27QX7+y8ox/wAwjXu9pTTGBy0qKuDeNyUqzQ1WfT2whNP2KxcaVFTYxe6aCmF0V1Y/U9gJ/2nHHIIPPNMiL6++IyNt9YDIv7p7LRoa8tz/RmbxLLC05/vxYuho8OaXj+7Xkxs5mtMNaJZF4TDFpOTiXFNTFiEw6Vbz5twJEQ0Gsey8v9dMi/XAiwaG23AoqLCzmvZZr6PEMPD8ekg3hebpk6Kaj0tZaD9gjKbGIKJXgjX535uHuJxa+r/MfNzQiGLaDT3ut1Mhud+3RwOW4yM2ECIUCjuyarLshLbrVgMxsdDVFZ6s+yE9OONx837RqNmmzIwYFNVZY6LzLhMAt/TM3MbE41a1NfDyIj5Nx4dhW2DBxLf9AVCXXGiUbNcs401y4tEzDbXq+1gMbQuEDEmJ816LRy2mZzM/Pm0bfjMKy5kn+448fjXpu+vrLQYG7Pp77fo6Jh7uclCXhe4/Z0LCtGvuOKK6Z9/85vfzHrcbYi+bds2PvrRj3LjjTdSXV2d8XlWyvVktm3Pui/ZpZdeyhe/+MVZ93d1dTHm+3W6/ojH4/T392PbNiEvS78kcKzJXuzQGIQL+1vv6mqkoSFOZ+cQAJWV9ezaZXHffVFWr66ms7M3xxKknGqHR6gcG6YvaZ4Ky4Jly9r461/7OPbYxCl0rQdE/LNz52Kqqgbo7Myj7CxeQeTIPxKd+nzvu28lL31p5fT62Y2hoSrGx+vo7Excez462szY2AidncNEo4vo65ugs9PMqjkx0c7QUA+dnaVpKdLfHwLa6ekZYWIiRGenN1c1jo7WAQ3U1IwBNdj25Izf2Y3KyiVs27aXiopY7ieXSP1zlzDW/iqiDZt8G4MsHNovKK/q3b+hdsfV9BzxW0+Xa9tL6Onppq4ucwAQjy+mtzf3NmjHjhqqq93v79v2Yrq7hwmHG+nq8mbOtOHhKkZHzXart9cClhCNdtHZ6U3YPDRUDTTT09M5o4K/ry9CLLaIzs5OhoaagBp6eiaIRCJ0dnbR1xcGTD+13bvH6ezsm35tNNpOQ0OcvXuH6ewcpbu7hq7hdjqrXsro6ADDw7V0dvbQ319PNGq2fWNjVQwP1+W9rSoFrQtEjL6+GqLRakZGRhgZqaezc2/a5/X3W1RFRrGIzpgvMhxezO7d/XR11XHAAYn967liIa8L3M67WVCI7tVZiQceeIDOzk6OOOKI6ftisRi33347V1xxBU899RRgKtKXJc2i1dnZOas6PdmFF17Ixz72senbAwMDrFixgra2NhoX6DUV8bip+Gpra1twH4aFxrrlDdjr3ger31LQ6+Nxi/Z2m/Z2M6NQRwc8+qjFzp1w8MHQ3t7u5XClWH3NWCORWf8vhx9usXVrC69+deI+rQdE/NPdbbHffs3ktQq14xBvg7ApNDj3XPMFLmd8w/S2DYetGeuIykqoq6ulvb2OurowNTWVtLebysjJSYslSxblN848OJfPV1TUUVsL7e2Ziyjy4bQfWLLELK+2tiLv7VVNDdTWtpbsd3fDevB2aleegq+DkAVD+wVlNlyDVVXn6b60bYNtW7S3L8662qiosGhsdLcNam21XI+xstKisrKBigrvjhEWLTKV8+3t7QwNQSRis3p1m2fzaDQ3Qyhks3TpzPEuXuz8W7YTiZg3m5iopKbG/G4jSVnY6GjVjN83HrdobAxTUdFAe3sDVVVw6MqHWPLYJ2ltvQnLMsutrLRoaDDbvra2xPv5TesCEaO2FmpqLBYvrgAyfz77+qCmcpymlkUz9tlqaizq6loYH7fo6EjsX88VC3ldkK2wO1nhsw964JRTTuHRRx+dcd873/lONm7cyKc+9SnWrl3L0qVLuemmmzjssMMAmJiY4LbbbuNrX/taukUCpm96lbkud4ZQKLTg/hCSWZa14P8NFoT4JFa4suBms8PD0NBgTb980SKzkejrg1e+0uzUSoB0nAmLDsdK+f8+4gh46CFr1p+B1gMi5Tc2ZnojLls2+zOZVd8TcOOx8IbCq7UjEadfbmLdHY/bhEJmv6iiwiIWS4xrchKqqvIcZx6c3TPnknavtilOON/SYpZXUWHlvezaWhgfL93v7koogoXtbcN4kSy0X1BGdhTClbP22Yrh1LZFIqGsqw0TQOdevw0OmpOSbtef4bBZn1dUeLc+r6gwfYlDIYv+/sTJYK9EIs5kodas+53tpdOTfWjIorLS3Of0Mm9qgt7emduYWMzMKeVsQyYnobZ6EmvwKaqqQkxOOi11mF5edfXUBKQBObbSukDEiETMvrDzuU1n715oqI8SSsldqqpMe6eBAbNPOhc/Tgt1XeD29y0qRP/zn//MrbfeSnd3N5/73OdYuXIl9913H6tXr6atrS3n6xsaGti0aeblqnV1dbS2tk7ff8EFF3DJJZewYcMGNmzYwCWXXEJtbS1veUthVbYi855d3MSiQ0NQV5e43dxsJhXt6oKPf7z44YnHGjeYrxSHHgrXXVf20YhIGnv2mP3r1tY8X2jHwCpuBzbdZHJ2UkabOoHbxETpJxYFJzjwbrnOxKJORXq+E4uCqUT3fWJRy0xEJyLzkBWCSIOni3TW77mqtEMhZz6M7PKdDC8UMieKvZz4M3m71NeH5/NUhELpx5s6sWh1tTmp4BwXOduVgw6C7dtnvjYaNc9Lnlg0HAmDHZ0xgXc0mjiZrIlFRYLHnMDLPbFoVxdced8lvOnS8Iz7KyvNPq4mFp2/CgrRR0ZGePWrX80tt9wy3Zv8gx/8ICtXruQ//uM/WLFiBf/xH//hyQA/+clPMjo6yvnnn09vby/HHHMMN954Iw0N3u6AiMwbdtQchBdoaMhUUjhaW+GBB8wO45FHejA+8dbWX8L2a+H4n824e9Uq2LbNpzGJyAx79kBbWyLodc2OgZXvi2ZKF6LH44nAJfngPhYzIYuXYUgqJ4QYHzeV314v1wlbCvkdAhGib/ggNB3o8yBEpCTWvdt8ecgJxnOdlEy3LUhnYCC/E77hsFmflypE7+01leheCoXSn2hNDdFra02IvmhRYlxg2lumXExPLDYzRB8fh3CFOSmaHMZNTiaOsxSiiwRPLGY+65FI7hC9obkGKmZWnjQ0mAmaFaLPXwXVAF100UXcf//9XHPNNdNN5x2nn346N998c8EDuvXWW7n88sunb1uWxcUXX8yuXbsYGxvjtttum1W9LiJJzrgflp9V8MuHh2eG6Js3w333wT/+kajwkwCJjcLo7ll3L1tmDjzGx30Yk4jMsGcPZJnKJYt4SUJ0536YGaI7B/OlrER3QohSVaI7IfqcrURf+w5o2t/nQYhISQw9D72PeLpIZ/2ea31qWe5D9HyCn3KE6F5XojsBWapMIbqzTXS2MwcdZEIyZ4zOa1Ir0Xsn18Hxv5wRokejiX+rqiqF6CJB44ToFRWJ/eN0OjvhwpPfBU//94z7V62CrVsVos9nBR2+/OpXv+LLX/4yr33ta6mpqZnx2MqVK3nxxRc9GZyIFKD/cYgOFfzy1HYukYipQPdqMh/xmBUx1aop2tvNwcDu2fm6iJRZwSF68yHwyieKeu/MleimACI5RHcO8ktZiW5ZZvmlDtELrURPnjjOFw9+HHb+yedBiEhJbP05PHGZp4t0G6LP5XYupahEd9POpa7OhNxO+xUneD/4YPO9vz/xXDDPd4pXxsfBjjTC0pNnVaI7y1ElukjwJIfouSrRa6smZ7XRXbUKnn7arANUgDg/FXT40tXVxYEHpr/UNBQKMep7GY/IAva310LPAwW/PLWdiwRcKH2IHg6bIH3XLh/GJCIzFByixydhsvBJRcGEArGUVYRtJ06MJocVzsFCKSvRobQhen195oAkl0BUovc9CqM7fR6EiJREfBJC3q5g8+mJ7rYSPZ+uqXOxEj2fdi6Q2CZWV5tWNwccYF7f22vud8aaWom+rOE5uKZtRluIycnEv5XTO1lEgiOfEL2menaIvnp1ot2TKtHnp4IOX5YvX86jqY3ApjzyyCOsWbOmqEGJSBHiUbAK35NNbeciAbfkFDjqO2kfWrZMIbpIEHR1mZ7oeeu5H27eXNR759MT3amIK2UlurP8iQlvQ3QnEKmuNl+FtHOprQ1AiG5FzHZcROaf+OzApVhue6JblrtK9MHB/CvRBwa8neOiHJXomUJ0598oOUR3KtGrqsxJ8eZmM6ZsIfr4OFRUhmCib0ZbiGhUlegiQRaPu59YtLoyfSX6k0+a1zvrDplfCjp8Oeecc/jKV77CQw89NH2fZVls3bqVb37zm5x77rmeDVBE8mRHTXVyAeJxhehzTvViaDk47UMK0UWCobu7wBDdLr4nejicPkRP1xN9ctIELXlPgJqnUlaiOyH6nK1ED5mJ6ERkHqpqhZp9PF1kPu1cStUTvbs7MfmmF4Jaie6MDdKH6PX1MyvRI87EohE7bSV6VZV5berVYiLiH7eV6J2d8FDj72HN/5tx/6pVZv3R2Kh2uPNVQYcvX/jCF+jo6ODoo4/myCOPxLIs3vnOd7Jp0yba29v59Kc/7fU4RcStqlYIVxf00tFRU4GR3BNdAm7H7+FPh6V9aNky9UQXCYLubnMJeN7sWEkmFs3UzmViwhw0lHqnvxwh+pydWHTjx2DpqT4PQkRKYuO/wkGf83SRQQnRvawWTz65W4pKdCcgS+VU69t2+kr0ZMkhenJP9ORK9EiF2RBVVMTTTizqhPPZgjoRKa/UED3TFTxdXbC8ZStEh2fcv88+Zn2rVi7zV0GHLw0NDdx11118+ctfpr6+nnXr1lFbW8uFF17I7bffPmuyUREpo1c8Ai2HFvTS4altgCrR55JQxkv/VYkuEgx798LixQW+OFLcPlWmdi6ZKtFL3Q8dEiG6l2G9E6JXVc3xSvQlm6FxP58HISIl0XUn7L3f00W67Ynutp1LIROLzrVK9BNPhCuvnH2/s13MN0TP1M4lGmmDsx6noiKUcWJRUEsXkSBJDtGd26ls24To+/e+DXbfPOOxykro6NCkovNZYT0fgJqaGj796U+r6lwkaLZfbw7CK/I//Tk0ZHbsyhGiiEeyXPq/dCkkdd0SEZ90dxcYoi892ZwYLUKuSvTUnuil7ocOpalE96Inek0NjIx4N6aCPPCv0LgRNrzf54GIiOe2/Biq2qD1SM8W6bYnuptK9PFxsx3wuxK91D3Ra2rguONm3+/8G8bjmdu5ODKF6M5EoRMTUFEZhpqOGdvZdJXomlxUJDhSQ/TkE1+O/v6p1kzh9JNFr1pV+taI4p+CQvRvf/vbnHrqqey3nyplREpirAv+/nZzKT9AqAo2/x56HoKHP5l4Xu0+8JKrYOef4cn/MPft+Quc9UTBIXpdnfp3zSlWOPF3kkKV6CLBcOSy33N437fgL8A+r4V9z4fHvgKdtyaetP59sPJceOAC6H/c3GdVwIGfgfYTCn7vzJXoJnkJh8tfiR6JBLcnuhOK+Ga8Gyb2+jwIEcnpoU9A78OJ2/t/ApadDn8/D0Z3JO4/9DJYdBjcepZ5/npvT5B52c5lYMB8z7cSfWJiblWiZ5IpRM9Uid7TY35O185leBiaaofg1y1UHt9HPN5EPK5KdJGgc67WdD6nk5Nm/zBZV5f5/Ias9JNFr15tgnaZnwoK0T/ykY8A0NHRwamnnsqpp57KKaecwtKlSz0dnMiCZYWh7aVQsyxxG6B6Cax6c+J5TlBevzZx/9p3QsP6gt52aEitXOactuPhlFvTPqQQXcR/Y2Nw5Kq/UVkRh1VvhaYDzANtxyXW8WCqj8H0w25Omiy4yLOamSrRHZHI7J7opVZRAYODwQvRa2sD0M4lFIG4ZpkTCbwlJ0Pj/onbdWvM9+WvhMmBxP3VS8z3lW+AFa+DZWd4Ogy3Ibqbdi4DA2bdmS40ziR5ok2vOCG6bZemEj2TfCvR9+wxP8di5rV1deZYCkyA1tgUhihUhE3KPjk5c2JRJ6hTiC4SHKmV6NE0F3w7V5hakXoIz267uHYtvPBCaccp/ikoRO/q6uLmm2/mlltu4eabb+bqq6/GsiwOOOCA6VD9rLPO8nqsIgtH1SLYdNHs+2s7YN27Zt/fuMF8FWl4WCH63BPKGLItW2Z28J2dAREpv7174Tf3ncPHv/kqWHp84oElLzNfqZa/0tP3z7cn+lxt5+Ks4yorTcXQnJ1Y1ApnbNElIgHx+wPgmCuh48zZj618ffrXrH1HSYbitie620r0xsb8zt066/FSVKKPjpqA2e8QPd1JhaYmeOYZ87Ozn93cbEJ/MN8bmyPQDRWRRIgejc7cPlVWKkQXCZJ07VxSTRcennF32mX8678GoD2glExBhy+LFi3iDW94A9/97nd57rnneP755/mf//kfli5dyre+9S1e9apXeT1OkYVl733w55eU/W2ddi4yh/Q+CDek7625dKk5EOjqKvOYRGRadzc803MMkeQAvYxCodmTImXriV6uiUUnJrzviV5VZX6vOT2x6MZ/g7Xn+TwIEckqOuj3CKZ52RM930lFobSV6E57rXJN0JcaojstHNJtF6uqEuG3E4y3tJjw3Kmgb2wyaXkkHJt+XurJaoXoIsHiJkQfHzf7muy6CSZm9wFsaYHly0s7TvFPwROLAkxOTnLHHXdw8803c9NNN/Hggw9SU1PDCScU3rtTRIDYKIztKfvbqp3LHGRlnli0utpUxXR2mkBdRMqvuxsufPVX4YlK2P9jZX//cDh7JXpy79m5XoleXW1+LmZiUd9D9KaNPg9ARHKyY4lWiz7zup1LQ0N+7++E6KWoRO/rM+MpZH1eiHwq0SsrExOCJleiR6Pmyt7+fmhuCcG5/USi5uDKqURPDdE1sahIcMRi5nNpWeZznSlEr6rCzGF30u+g9aiyj1P8U9Am6etf/zo33XQTd9xxB+Pj4xxxxBGcdtppfO1rX+P444+nshxlTCLzmU8752rnMgdlmVgUoL3dhOgi4o/ubli7ZBuM55lMeCRTT/T5VomeHKK//e2wYkX+y6ipCcDltw99ArDgsMt8HoiIZBTAEN2Ldi6Dg/lXojvrca8r0W3bTNxZrklFYXaI7lydmylEdyrInRDdqZjfvdvMh9LcDAxvo6J2PVA13RNd7VxEgsuZ4wDM/mrWED0+kXZiUZnfCgrRP/GJT1BbW8tHPvIRPvGJT9BSrkZlIguFHQPLw3TBpS1bTB9tmUOsMMQz989ViC7ir+5uWFvjX+AS1J7ozti8Ul2dCDxe/erClhGIiUVtG+w0R2wiEhyn3gG1+/g9CsCsz930MC91OxevK9HBtHPJtzK+GMkheiyWfWLR5HYusZjZlobD5t9v61Zzf1MTcN1RhM98GMvaN20levJyRMRHo3vg3vfy/v2hsgK4PURFxXWEBh+H2y5MPK+6nbGxKzlq1W1mEumQCogXmoIOXz70oQ+xcuVKvvrVr7J+/XrOPfdcvv/977NlyxavxyeyMC06Eo7/Rdnf9i9/gc2by/62Uozmg+D1PRkfVogu4q/ubqgNWIhuKtHNdf2p7VzKVYnujM0rL3kJ/OEPxS0jEO1ccpwYFZEAqG4LTHBi2+7WpW7buRRSiR4Oext2O5Xaw8OJvuTlkG87l+Se6Mm94V94wZzYrapiuu1iRUWiJ7oq0UUCpO8xuOEoiNTAspfzWPfLeXbk5bDsDCoqYCzeAstenvhqP4nxcRiKLYOjvwcN+/r9G0iZFVSJ/l//9V8A7Ny5kxtvvJFbbrmFL3zhC3zgAx9gzZo1nHbaaXznO9/xdKAiC0pFE7QcWta37O2FBx+Ek08u69tKseLj0PsILD467cMK0UX81d0N9zd/hJNWpzkKL4NMleiZ2rmUoxLdCRC8bueysch24oEI0UORrC26RCQArlsJp/8dmg/0eyQzrizKxk0lel9fYZXoLS3uquHzWSaY9lpOm65yyBSipzu5nK4nOph/iy1bktrQhCIQjxKJMN3ORROLigRIbBRGtkFFI+x7Prdsg1UhOHuD2V8dpQP2PX/GS8bHYe/EvrBOAfpCVNThS0dHB+eddx7f+973+OEPf8hpp53G888/z/e+9z2vxieyMO38A/zp0LK+5W23wb77QkdHWd9WijWyA27OPJlzezvsKf8ctSIyZe9eiNYfBI3+7GhnqkTP1M5lrlaieyEQIfrGj8HBX/J5ECKSlU9tF9PxMkTv7oa2tvze3wnRveQE0sPD6avAS6XQSvTkEL252VSiO/3RqWwB7OneyppYVCRgUua4SP48O1eQpJruiS4LUkGV6LZtc++993LzzTdz8803c/fddzMxMUFDQwNnn302p556qtfjFFlYfNg5/8tfVIU+J01VuGTS3m6uMBARf3R3w6uXvR+e3Agb/7Xs75+rEj0cLn8lukL0LMI1YKudi0iwxQM1saibKnA37Vy6u+GAA/J7/1DI237oMDNED2olenIv82g0cYWV085luhL9Vc8BiQkK1c5FJGByhOjpJhYdG1OIvpAVFKK3tLQwODhIRUUFxx57LJ/97Gc55ZRTOProowkF7YhIZC6yy98/99Zb4XOfK+tbihesMGA7TY5nPax2LiL+6u6GuqpBiPtzlBwKJXqeO1InFvWrJ7qXl/97oabGHBi5rewsiacuh/4n4Lj/9WkAIpKTD/vpmbjtie6mEr2rK1iV6EFp55JvJfq998KmTVNP3HMrNB9MRcUiTSwqEkRNm+CEX07fTN4HzBSij4+Xd90kwVJQiP6+972PU089lZe+9KXUlHO2D5GFwi5vhUtfHzz2GJyQuSuIBFWoEmo6pg7oZq/SFaKL+KunB6or/QtcwuFME4uan/3oiR7USnQnMBkbS/xcdlOT0IlIgL2+11w1EgBuT/pZlrt2LosX5/f+pa5EL2e1p7NddLaJTsyRb0/0nTvh+OOnnnj3eXDsj4lETtTEoiJBVNkEi18yfdNNJbrauSxsBYXol112mdfjEJFkHa+AtpeW7e3uvhvWroVly8r2luKV6nZ47Y6MDytEF/FXTw9UVsYochqagjnhSnJwnlqJrp7ohhOYjI76HKJnadElIj6zbRh8Dpr2D0Rf9Hx6oudq5xK0SvRyt3MBs510Qu3KSrONTBeWJVeQx2KJYLy52fw7T7dzmVqnJ7dz0cSiIgGy+xZ44KNw1mOA+xC9rq6MY5RAKShEB5icnOTHP/4xt9xyC3v37mXx4sWceuqpvO1tb6OiHGVMIvOaXdYd8zvuSKqYkLklPgnbr4N9XgOh2eve9nZzOezwcCIgEpHymJyEwUEY2//rNHX4k8omX57uHBSYIMWkKeFwop3LQq9Ed8IaX/uiW2FVoosEmR2HPx0Cr9kBtR1+j8Z1T/Rc7VxiMXPSN99K9PPO835d7ixvZAQaGrxdtpv3dkLtSMSE3LnauUSjMyvRISlED0XAjk2HccmBu7McTSwq4qN41KzXp7jtid7aWqbxSeAUtMnr7+/n2GOP5b3vfS+/+93veP7557n++ut597vfzXHHHcfAwIDX4xRZWLb9Bu44t2xvd+edauUyZ8VG4Y43QHQ47cMtLWZnXdXoIuXX12e+N7a3Q2WzL2NIDtEdqkRPLxQyYYmvIfq+H5rRm1NEAsaeOus4x3qi52rn0tNjlpVviH7EEXDYYfm9JhfLMr9Tudu5wOwQvakJGhtnPy9TOxcnPG9qmnpi40YIV1NRkdi2qCe6SIAUMLGo2rksbAUdvlx00UU89dRT/OIXv2BwcJBnnnmGwcFBfvnLX/LUU09x0UUXeT1OkYWlDBMWffvb8Otfmx23e+5RJfqc5fRBt2NpHw6FzKW5CtFFyq+nx1Q319x/Ljx3pS9jSBeiqyd6ZjU1pvrRNxN9MPSCjwMQkaymQ/RgrMC8aufS3W3aWPnWyipFJAJDQ+Vv55Iaov/jH7Bx4+znVVaabWc8PrsnOiRVop94HbS/lKoq8/uA2rmIBEqaEN3NxKIK0Reugtq5XHfddXzpS1/i3HNnVsq+/vWv58UXX+Qb3/gG//Vf/+XJAEUWpBKH6PE4fPWrsO++ZievpQX2379kbyellCNEB/VFF/FLb+/UAXUZToxmkqsSPRyeWYlejhDduZQ9qCG6r5XoO34LW38JJ//Zx0GISGZxqGg2bToCIJ8QPVsleiH90EspHDYnNP2uRM/0b+KMa3LSbEOTe6Inf2fbddByMPX1a6evTtPEoiIBsvRkWJS4nCa5/WEkkrmdi0L0haugrX9XVxcHH3xw2scOOeQQuru7ixqUyIJnx0sauNxzD+zdC3/7G6xZA694hbt+ihJAoQi0HkO2C4va22HPnvINSUSMnh5YtIipk1z+TiyarRI9uSd6OSZKCnIlem2teqKLSBaROji31+9RTHPbEz1XO5eurvxbuZRSOOzPxKLJIXo4y6GY0/psYiJ9Jfp0O5d/fhX2/zj19WvpnfqzSa1EV090ER9ZYQgnLsFJ/jxXV5vAPNX4ePnXTRIcBR2+LF++nDvuuCPtY3feeScdHf5PsiIyp61/L2z+Y8kW/6tfwZveBOvWwVVXwVlnleytpNSsEJxxN1RnPvJZtgx27izjmEQESK5EL+2J0WycoDqWdLFKtp7oaufid4geUYguEmSxCdjxRzMZXQC47Ynupp1L0CrR/QzRQ6Hs/65OiD4+nr4n+oyJReNR6uuZDtFViS4SINuvh1sTYUjy57m11RQeplI7l4WtoMOXN77xjVxyySV84xvfYO/UX9XevXv51re+xSWXXMKb3vQmTwcpsuCM7oLBp0u2+N/+Fl73OhOeh8Nwyikleysphye/BRP9GR9euRJefLGM4xERIKkS/cRrYfVbfBlDrkr05HYuExMLe2JRCECIHqmFSL2PAxCRrCYH4LazIB6M5HM+t3Pxc2LRbFXokBjXxMTMdi6zeqJPnRhNDtE1sahIgNgxCKWfWHTxYnOCMZVC9IWtoHYuF198MQ899BD/9m//xic+8QkikQjRaBTbtjnjjDO4+OKLPR6myALz4q9gz19N8OKxsTF4/nk47DATrlZXQ0OD528j5fTwJ2H5WVDZlPbhlSvh3nvLPCYRSVSiT/RAZQuEy7/H7RwIpPZEtyxTkpjczkWV6AEI0VecY75EJJimJxb15+qiVG5D9FztXLq7g9fOZWTEv0r0SI6UJBxOPDc5dKupgfe9D1atmnri4pdA9VIaGkxBSzg8s/2OKtFFfJZlYtG2NnjssdkvUU/0ha2gEL2qqoobbriBP//5z/z1r39l7969tLa2csopp3Daaad5PUaRhaeEk9C98IJZ6S9dCh0dcNBBJXkbKScrkvWyYlWii/hjuhL9zjfDvh+B1eW/Us9NT/Tkdi6qRDfBjW9Gd8PAk7Bks4+DEJHMplamAQnRk9fn2eRq59LVBZs2eTeuYoXD0NcX3BAdEv3Mk0N0gO9+N+lJh34VYLoSPXW5CtFFfJYyb1HyxKJtbZkr0dUTfeHKK0QfHR3luuuuY+vWrbS3t3P22WdzxhlnlGpsIgtXCUP0LVtg9epghhdSICucqIxKwwnRsx08iYj3enth/XpMT/SQvz3RUyvRnftT27moEt3nSvS998Ejn4NXPOzjIEQksxA0bQpMiO5VO5cgVqJPTvrXzsVtiJ5aiT7Llp9Awwbq64+mt3f2NlYTi4r4bM3bZ7RcTG3n0tU1+yVq57KwuQ7Rd+7cyYknnsiWLVuwp5KYpqYm/vSnP/GSl7ykZAMUWZAidVBVmj3ZLVtgzZqSLFr8suK1UJG5h+6KFaaysqenjGMSkUQleglPjOaiSvT81Nb6HKKHNLGoSKDVLIGzHvV7FNPmczsXCHYlutPPPLkn+iwv/hKWnjYdoqsSXSRgxvfCRB80bgBmhuhtbQrRZTbXhy+f/exn2bFjB5/97Gf5wx/+wOWXX05lZSUf/OAHSzk+kYVpwwfhqG+XZNFbtsDatSVZtPjl2KuhblXGh+vrTV9mtXQRKa/pnujhKgiVIZ1OI1clenJP9HJVojshgpsWBOXmeyW6pRBdJNAm+uHZ7/s9imn5VKJnuyKxvz9pMswA8DNEn5z0sBI9lJhYtK9v9jZWE4uK+GzbNfDgBdM3000smrruVE/0hc11JfpNN93EZz7zGT73uc8BcOaZZ7Ju3Tpe9apXsWfPHpYsWVKyQYosOP3/hOgwtB7l+aK3bAFdPDLPPPpFWHte1iB95UrYtg2WLy/fsEQWuulK9NPu8G0MTlA9e2JR87NTiW7bqkSHAIToFU3QuNHHAYhIVmOdcP+HYf17/R4JkF9P9GyV6AMD0Njo3biK5YTYQW/nkq4n+gxWIkTv7zfzUaUuQyG6iI9yTCw6NgbDw6YozaGe6Aub68OX3bt3c+KJJ864b/Pmzdi2zZ49ezwfmMiC9uKv4JnvlGTRaucyDz37fRjZmfUpToguIuUzXYnedReMpZmZqAwsa/Zl/LY9syc6mMfVEz0AIfrio+HE63wcgIhk5WN7rnS8aucStBDdr0p0y/K4ncvSU6FpEw0N5ma6di7qiS7iozQhurP+aW42P6dOLqp2Lgub68OXWCxGTU3NjPuqp7Zq0aguOxXxVIknFlWIPs+46KFrJhcNYO8EkXnKtpMq0e95D/Q84NtYQqFEyxZwKtHNtanOAX0spkp0MCH6yIiPAxjdDc//yMcBiEhWdgys4Ky8vGjnMj5uvoIYoge9Ej1nO5f174WOl09XsaaeqE5uqSYiPghXQ2XL9M14PPF5DoWgtXVmX/R43J9JjyU4XLdzAXjqqaeIJG1RYlNr/CeffHLWcw8//PAihyaygJUoRO/vN5WRCtHnGSts/mayWLkSHvAvwxNZcEZHzcF1Swvm8xnyr3IxHM4+sSiYSjpVogdgYtHhF+EfnzEtukQkeCJ1sOwMv0cxLZ8QPVMl+uCg+R7EEH3O90R//kdQ0UR9/WuB2cvN1WZHREps/fvM15TUz3NbG9x/P7zpTfDss4krR9TOZeHKK0Q/77zz0t7/9re/ffpn27axLGs6YBeRAtTuY/qieuyFF8wOcktLzqfKXLLu3VCTvdn5PvvAb39bpvGICD095ntzM75f/p96kJ4cujgHCtGoCQ4WeojuezuXUATiusJTJLDqV8NLf+33KKa57YmerZ1Lf78Jd4MUCvkZoufTzsXpiZ7x+d1/h6o26htMiJ66jVWILuKzgadhcgBajwRmh+iLF8NPfwrPP2/6ozshuirRFy7XIfpVV11VynGISLINHyzJYnfvnj2hjcwDB34m51OWL4cdO8owFhEBzFU/jY1TB9Z1qyFSn+slJZN6kJ6uEj0WM8GB2rn4HKJbudtziYiPRnbAC/8HB3zK75EA3lSiDwxAU5O7ML5c5lI7l2jU3cSioEp0kcDZ9mvofwKO+18gfSX6r6fOmw4MJO5XiL5wuQ7R3/GOd5RyHCKSbM+t5vuSzZ4utrMT2ts9XaQEwUOfgFVvgkVHZHzKPvvAzp3aURcpl+lJRQFOudnXsWSrRE9u56JK9ACE6JXNgWoVISIpRnbAk5fPyRA9U0/0oE0qCnOjEt1VOxfLXF2UqSd6rglfRaTE4rMnFk1epy5enPh5YCBRbFKO/WUJpgAevogI266FHb/zfLEK0eep3bfAyPasT+nogMlJi54erfZFymFGiL71FzDWlfX5pZStEj25nYsq0QMQotethON/5uMARCQrn9tzpconRM/UbVUhekK+IbrTziVjiN7xClh2OjU1Ztlq5yISMCnr9OSJRcFUotfWmqt1BgbMZ766OlhX7kh5BfDwRURKtYOuEH2ecjGxaE0NLFpks2uXVvsi5dDbO9UPHeCBj8LQFt/GErSe6E44EdQQfWTExwGM98DDuVt0iYhPAhaiu+2JnjrBdLKghuiW5S7M9lK+PdGddi4Zn99xBiw7HcuC+vr07VwyXSEgImVQsxTq10zfTD0ptmYNnHYatLYmQnS1clnYAnj4IiIK0SUvlruJ6JYvh927g3PgJzKf9fUlVaLbcQgFZ2JRc8BuTz/mVCiqEt1UG/laiT45AE98zccBiEhW1Utg9Vv9HsU0L3qi9/cHM0T3o9rT83Yuz11l2v9gQnRVoosEzIYPwKbPTt9M/Tyfd57pid7YqBBdjAAevogIiw6D5oOKWsTdd8Oll868TyH6PLXfR6D54JxP6+iAnTu12hcphxntXHyuXEy9jN+2rRmhSySinugO39u5hCLmpIutVEUkkBo3wKGX+D2KaV61c2lq8nZcxYpEyt/KBUoQog9vgf7HgcyV6ArRRXzUdSd03j59M/Xz7FwR09gIg4MwNqYQfaEL4OGLiLD+fbD6LUUt4ne/gz//eeZ9CtHnqdVvhqaNOZ+mSnSR8pkRorefCBX+lfklX8bvXDaeXN0XDidC9IVeie57iG5NJSw5WnSJiE/6HoeHL/R7FNPchuhzsZ2LH0FVbS309GQJxZNUVZmq1KztXKwI2OZqUVWiiwTQtmvhxWumb6ZOLOpIrkT34wSfBIfvhy/f+c53OPjgg2lsbKSxsZFjjz2WP/3pT9OP27bNxRdfTEdHBzU1NWzevJnHH3/cxxGLlMELP4NdNxa1iEceMdURyTo7YcmSohYrQXT/R2DHH3I+zYTovq/2RRaEGSH6iddC/VrfxpJ8kO58T61EHx83AXs5K9GDOCmT7yF6pA42nO/jAEQkq5HtsP23fo9imm0X384lqCG6H0HVxo3w2GMeVqKHEi0XFaKLBFDK1aKZPs9q5yIO39OUffbZh69+9avcf//93H///Zx88sm8+tWvng7KL7vsMr7xjW9wxRVXcN9997F06VJOO+00BgcHfR65SAnt/BPsvbeoRTzyiFnJO2xblejz1sBTMLY759M6Omx27VIlukg5zAjRH78Exvf6Npbkg/R0leiRSCI4ViW62XZmantQchUNcNS3IVSGsxkikr+ATSwaj7ufWDRbO5cghuh+BFUHHAB793oYonecBeveA6idi0gg2bEZ8xbF4wrRJTvfD1/OPvtsXvGKV7Dvvvuy77778pWvfIX6+nruvvtubNvm8ssv56KLLuKcc85h06ZNXH311YyMjPDTn/7U76GLlFC8qB30/n548cWZlehDQ6aHl0L0ecgK5zGxqO+rfZEFYUaI/ugXYbzHt7HkqkQPh2FkxPysnujm+9iYTwOIjcGdb4XJIZ8GICJZ2TGwgrPy8mJi0aCG6H5Uoh94oPnuNkR3TrpmDNFbDoElJwGqRBcJpOZN0LRp+mamz3NDg1lXqie6uNg8lE8sFuNXv/oVw8PDHHvssWzZsoXdu3dz+umnTz+nqqqKk046ibvuuov3v//9aZczPj7OeFIJ7sDAAADxeJz4At1KxeNxbNtesL//XGPFo9gUvlf1j38AhJiYsInHTdnhrl1QUWHR0GBrZ22esawQdnwy59/LsmVxdu8Oaz0gUga9vRZNTWZ9a9kxbCzfjpRDIYto1IzFVCKGgMQ+QSRiMTxsAyEikXjJh2kOTkJA6d8rXya0CTE8HJ8O1MsqFiO09afED/8mhGt9GIAsJDo+KED9Blj/wcAkn9GoWcc7+/uZWBZEo+mf198fvOODUMiiupqcv5fXNm4ECBEO2znf24ToFpOTTD0/zZNe+D+s7ruxj7yC+nrz3NTlxuO5//9KTesCWbDWmitFnA9wLGZhWbM/zw0NsGuXxeioTXW1/5/ZUlnI6wK3v3MgQvRHH32UY489lrGxMerr67n22ms54IADuOuuuwBYktLEecmSJWzdujXj8i699FK++MUvzrq/q6uLMd9Ki/wVj8fp7+/Htm1CQSz9khmq644jHlrORGdnQa+/664a6uoaGB2N09nZDcBTT1WweHEzXV1dXg5VAqBi6XuJV7QTy/H3Ul0N/f1L2bJlDw0NAWxGLDKP7N3bhm330dk5yVI7RtfeXuIjha3Ti2Xbi9m7t5/Ozsmpti1LGRzsp7MzRigUIhRqY8+eAaCF3t5OVxOqFWNkxAKW0NfXQ2dn7qtoysm0u1nKtm3d/hxAxCdZCnR37iZetfAOYKS8dHxQiGZofI3pkRgA/f3VRKM1dHb2Zn3e6GgdIyMROjv7Zz22d28rtj1EZ+d4mlf6IxptwrLCdHaW9yqu6mqorW0nGh1P+2+VbGKijoGBCPE4jI5G6ewcnvWcmp6dVPU+S19nJ6FQA7GYRWfnwPTj/f0VTE4209np7/GZ1gWyUFV1/h470sDEInPFSCy2hN7evXR2zux/ZVm1dHVV0t09DlTnXOfOVQt5XeC2ZXggQvT99tuPhx9+mL6+Pq655hre8Y53cNttt00/bqU0erNte9Z9yS688EI+9rGPTd8eGBhgxYoVtLW10Ri0a9XKJB6PY1kWbW1tC+7DMCe1/0tRL9+yxeLII+Hpp8O0T/VvmZyEpUut6dsyj7Sf7eppra1xqqttxsbaWLdO6wGRUhoYsFi7toX2Nht7zTtYvHQNVC3yZSwVFRZNTS20t8Pw1DF+U1Mj7e2LCYVCVFRYRCJNhEI2y5aVfhvhtBpbvHhRIFuMVVfb1NUt9mdstgnOF7e2QG0A/3FkXtHxQQH23Iq1/TfYR/yn3yMBTIuQqqrc+/eNjVBZadHePrsPweioxYoVTYFaH9fWWjQ04MtxywEHWNTXV6f9t0q2aJGpmA+FoKnJpr29bvaTBpqxBkO0t7dz6KGm1Vt7e6JPTWuryTr8Pj7TukAWKmvLndh1q6D9XGwbbNuivb111vqwowMmJiwqKytpaPD/M1sqC3ldUO2yh1ggQvTKykrWr18PwJFHHsl9993Ht771LT71qU8BsHv3bpYtWzb9/M7OzlnV6cmqqqqoStOoyFRbLaw/hGSWZS34f4M545+XQfNB0HFmQS/v6oLVq83s8qGQOeHU3W36oTu3ZR6571+g+UDY8MGcT12+PMaOHSEOOkjrAZFSGRszX62tlpmr6Ngf4eeaNxQyBwWhUGICunA4sU8QicDQkEVtbXm2Ec4uWiQSCmxf9PFxy6exheCQSwlVNQWzabzMOzo+yNP4Huh9CCtA/16hUO51dzjs9E+f/byBAWhu9mudl14kYtbFfhy3HHig6V2e672rq81J4XDYnKxO++8XrgA7hhUK8aEPzX44Esn8/1JuWhfIwhTHCkUgFJqefLmiYvb+aXMzDA6aIN2vdVO5LNR1gdvfN5D/KrZtMz4+zpo1a1i6dCk33XTT9GMTExPcdtttHHfccT6OUKTEuu6AoecLfnk0CnV1MycW7eqCtjYPxibBM9kHE32unrp8eYwXXyzpaEQWvN6pKzxbWoD4JNzzPpgcyPqaUso1sWgkYg4M6tIU0ZWCZZnQIaj75jU1iYlWfXHgp6FiYV45KRJ4dtxM6B4QbicWdUL0dII6sahfk/e9611wzjm5n1dZaY61sk4suuzlcOhXMy5DE4uK+CwenV6nOyF6us9zY6NZV46Pa2LRhc73SvTPfOYznHnmmaxYsYLBwUF+/vOfc+utt3LDDTdgWRYXXHABl1xyCRs2bGDDhg1ccskl1NbW8pa3vMXvoYuUjh0ragc9XYgexB1k8YgVNn8zLixfHmPbtsoSD0hkYevtNevgigogOgnPfR8OuQQq/BlPcnhiT82DlNwVLxKB/n6oLeM8lqbKr3zvl4+aGqZ6x/vkL6fDMVdC3UofByEiadkxsIKz8rJtd+vSTGHtxIS5cqqpyfuxFSMScSZ6Lr8TT3T3PCdED4ezhOi1y81XBgrRRXy27DSoMZ9Rhejihu8h+p49e3j729/Orl27aGpq4uCDD+aGG27gtNNOA+CTn/wko6OjnH/++fT29nLMMcdw44030tDQ4PPIRUrIgxC9ttbs2Nm2CUuGh8tXZShlZkXyCtFViS5SWr29U1XoMN3j2vR18UeuSvRw2BwYlHMb8fKXQ5bOfL6qrfU5RO/+O0SHfByAiGTUdhxUB6cXbjw+86RoJqFQIiBKNjB1kVTQDq3DYf9CdLecEL2yMkuI/uI18My34ZS/pH1YIbqIz9aeN/2js45Md2LSCdG7ukxrF1m4fA/Rf/CDH2R93LIsLr74Yi6++OLyDEgkCNa/Dxo2FPzyyUkTAti2CdQrKkyIPk/nv5ADL4SQu1Piy5fHefDBEo9HZIGbGaJP7ZH7ePl/8kF6pkr0gYHyVqJfe2353itfvleiWxFzebGIBE/DevMVEMW2cxkZMduDmhrvx1aMrNXdAVFVZapSq6vNdjSjycwnRRWii/jsyW9C4/7Q8fKclegjI3D33XDRReUdogSL7yG6iKSxwkUjviycSnQwFRIVFTA0pEr0eathfSIZy6GjQ5XoIqU2I0QPVcKmz0HIv5K6dJXolpVYZzghurYRhu8heigCtkJ0kUB64eew5y9wzPf8HgngPkTPFNaOjZkQ2E01ezktWhT8lgmueqLnWJ8rRBfxWedtpniB7CG6c7XOI4/AMceUbXQSQArRRYLo3g/CPq+BjjMKernTEx3Mzl1dndq5zGv3fwTCVXDYv+d8qumJ7v6gS0Ty19ubdKlnpAYO/pKfw8lZiR4Om57oQbuc3y++h+hHfQfqVvk4ABHJaLIXRnf6PYpp+fRET9fOZXQ0mG1TvuTvZtMVVyG6pRBdJNDiiTa6zmcx3ee5rs7sO7e1wUpNWbOgKUIRCaL+R2Gip+CXp4booBB9XrPCZgfAhY6OGOPjFl1dJR6TyALW15dUiT7RC38909f2HLl6ovvRziXIamrMJbu+Wfl6qGr1cQAiklG8uHmLvOa2J3qmdi5OJXrQhELBL/Zw2rlEo1naubSfBCf+NuMyLEshuoivkuaiy1aJHgqZYpOjjw7elTtSXgHfNIksUPEYWIV/PKPRxA5xcoheX+/B2CR4rLDriUVraqCtzWbbthKPSWQBm9HOJToCu24oap1eLLc90XWi1fB9YtGbT4Lue30cgIhkZHsbot97L/z854W/3qt2LpI/V5Xo4WqobMnwoCrRRXy37p2w2PRnyRaig+mLfvTRZRqXBJZCdJEgKnIHfXLS9EGvrDQVEqBK9Hktz/6569bBY4+VcDwiC9zMiUWdo2P/ylaSL+NPV4keDqsSPZnv7VxGdkBs2McBiEhGK14LB33Bs8XdeCP87/8W/vp8QvRM7VyCNqnoXOEqRO+6E/50eMZlKEQX8dnKc6HlUCCxjsy0Tj3oIDj11PIMS4JLPdFFgujQS6BxY8Evdy4rdHbuQBOLzmsHfBpwN7EowCtfafOb31icd17JRiSyoM0M0aeuLPLx2s/ky/hViZ6b7yF6KOL66iIRKbO6lebLI4OD0FN4B0fXPdHnWjuXucA5zsrazkUTi4oE2/0fgY6zoOMMYjGzf5xpl/2Pfyzv0CSYVIkuEkRLT4XafQp+eTRqKtGrqtQTfUGwQolkzIXXvx7+/GczkaCIeG9GiF61CI76rq/jSdcTPTVEn5hQJbrD9xDdivjaQ19Esnji63D3Oz1b3MCA2WYUym1PdLVz8d7y5eb/b+fObBOLhnOG6HnswouI13ofgvFuwKwjM36WRaYoRBcJor+cBrtvKfjl6SrR1RN9Hnvycnjo466fvmED7L8/vOtdcPbZ8KtflW5oIgvRjBC9ohHWv8fX8bjpiQ460erwPUR/yY+gVU03RQIpPu7pSa6BgeIq0Ytt5zI2pnYuhWpthaOOgs7ObCF69iuLVIku4rOUiUUVoksuCtFFgmh0J8QnCn55cog+Pm56pE9MKCCZt0IRMxltHj78YXNi5eij4bzz4IEHSjM0kYVoRog+9Dz8+Rhfx5NaiR4KzSx7cw4YVIlu1NTAyIiPA2g90lzBICLBE/d2YlEnRC+0GtltiJ6pncvoqCrRi3HWWeZ7xuCt5TB41fMZX68QXcRndhxCCtHFPfVEFwkiDyYWTa5EH56an0wh+jyV41LRdN79bvMF8Pvfw3PPwbJlcNddpt2LiBSutxeam6duREdg4Ek/hzMrRE+99F+V6DPV1vpciX7TCVC/Dpo2QXUbrD0Peh+GXTclnlO/Fla+Djr/Bt13J+7vOBOaN5V7xCILR5H76KkGBkxwMzQEDQ0FDMdlT3S1cymNs86Cz38+S090exKGtmRcLzvtXGzb16lTRBaug74ITfsDZl3sZn0qC5tCdJEgKrLKJbWdi0L0eS7SALGpssm/vQ62X5947IjLYd8PwZ+Pwep5kCXO/S/9NbSfCHe8kZUrb2TbNvjtb+FHP1KILlKMiQlTxTxjYlGfL/xLbeeSeoDgHPyrEt3wvZ3LyjdB1x3Q80BiAsOxLnN72tR/6MiOxP39j5sKdoXoIqWz77+YYNQjAwPme09PYSG6257o4XDmdi4K0Qt36KGwenXSifNUQy/AjS+BNwylfdjZHitEF/FJxxnTP6oSXdxQiC4SRCf80lSZFcgJ0Z2JRYeHzQ6yNgrz1Pr3w6o3mZ+P/DYc9u+JxypbzfeXXoMdHWPv3r20trZi1S6D/idg732sWAEvvmgmo9UlpSLF6esz32eE6CF/V765KtHVzmUm30P0/f7FfCVbdpr5SrX6TeZLRMoj4u2K0gnRe3th1ar8X59PT/RM7VzUE71woRA89ZQpXEr/hOwTRTv/d27/H0XEY399Bez/b7D0ZIXo4opCdJEgajm0qHKEaNQEosmV6KpCn8dC4UT/3Jql6Z9Tuw/E48RG6qG+3eypW2EIhVm5Em67zTxNIbpIcXp7zUnL6cq++nVw/M99HVPyhHLZKtG1nTCyhegTE+ZESXt7WYfkzs4/Q3QAVp7r90hE5q9HvwjRYTjqCk8WNzhovhc6uWixIboq0YuXMUCHqYlF3YXoIuKDkRfNhNGYz6FCdMlF5ztFgui3K6HrzoJfnjqx6NCQwhFJwwpDPMbKlaYS/bnntBMvUqwZk4oCVDbB0lN9Gw/MnFAuW090VaIb2UL0a6+Ft72tvONxrfsu2PVnv0chMr/ZMbC8O4QeGDCtQHp7CxyOy57oaufik1AlNKw3/1GPXwJ/fkni69krCYXg8rd/lMgtSfdv/6157R1vguGt/o5fZL5LmudClejihirRRYKoBBOLKkSXWWqXw6GXsLLfhOijo7C28C5CIkKaEL37Hrjn3XDWY76NKVdPdOeAQdsJo6bG9LVPZ3DQnJgOJCsy1YNfRErGjns2sej4uPnauDH/SvTBQfj1r933RM9Wid7UlN97Sx5qlsFLrzX/SUtPh4YNiccaDyAUh2vuex0f+NwJVFVN3d98kPm+7RrY8AGoK6DPj4i4E4/OCNHVVklyUYguEkRFhOjxuAlJUkP0+nqPxyhzX1UrbPggK/ZAd7e5S5XoIsWZFaLHJyDqb+qa2hNdE4tmV1ubvZ3LpHdzCnorFM7ae1dEPGDHIFThyaKcVi6rV+dfiX7zzfDpT8N73qOe6IFmWdC0v/m59UjzlSTUB3978kQml0FV6rFa/RqdGBUpteN/aq4WQZXo4o5CdJEgKqLKJTp1/Jw6sagqDGWW4W1w55toO/VOqqpMNZRCdJHizArRi7yyyAupleiZ2rloO2Hk6ok+MVHe8bjWejTUrvB7FCLzW/Lk7UUaGDDr346O/CvRH33UnNBz2xNd7VyCKWtPdCusEF2k1FqPmv5RIbq4oYsVRILozH9A06aCXuqE6M7EouqJLhnZk7D3HkIhWLHCBGsK0UWK09dn+ttOs2P4vbuVqxLdOWBQJbqRK0QPbCX60lNhzdv9HoXI/DbeCRMFzgKaYmAAGhth0aL8Q/RHHjHrI7c90TWxaDBlDdEP/So0HVjW8YgsOL9dA11/BzSxqLijEF0kkFw2OEwjuRJdPdElq6QKl5UrTZCuEF2kOLMq0VuPgc2/92084L4SXSG6UVNjtp3pqjYDHaLv+CM88Q2/RyEyvz36JXj6Ck8WNTAADQ1mm5FvOxcnRM+nJ3q6dZraufgra4i+z6vN/EUiUjrx8enJolWJLm4oRBcJot9vhMFnC3qpc3CvEF1yclpM2HGOOgqOOy79AZaIuDcrRA9X+95iw01P9KoqHTg4nEApXTV6oEP0oWeh629+j0JkfvOwRdfgYGGV6MPD8OyzZl3kdiK8cFiV6EGUNUS//bWw66ayjkdkwUlap2tiUXFDfyIiQVTEDnqmSnRNLCqzVLbCS68B4KtfhfPPVyW6SLFmhei7/gw3vsS38cDMCsRMleiqQk/IFaIHtie6+ueKlJ6HIbrTziXfSvTHH0+c9JyYUDuXuczZHqfd/x7ZAZMDZR2PyIKTEqKroERyUYguEkQehejOxKLqiS5pRWpgxTnTl7BlOsASEfeCPrFopp7o2kYkOIHSnKtEV4guUnrhGoh4s8IstCf6o4/CgVOtssfH3Yfomdq5KET3jyYWFfHZyx+ApgMAhejijkJ0kSCy40WF6KGQ+XImFlU7F0lrog9+swyiI4BCdBEvpA3Rfd7dSr6MX5XouVlW5slFAx2iLz4W1r7L71GIzG9Hfwf2/7gniyq0Ev2FF2DjRvPz+Li7nujZ2rmoJ7p/sobooQjY0bKOR2TBCVWrEl3yohBdJIjeHIW6VQW9NBpNTBKnnuiSnQVju6d30BWiixRvdohe+ElRr7jpia5txEzZQvTAtnNpOQRWvs7vUYjMbz0PwtDznizKCdEzrW8yGR83rwMTgqudy9yVNUQ/4luw5JSyjkdkwbl+zfRcdPG4QnTJTSG6SNDYNnTdBfHCSt0mJ9OH6OqJLrM4wV48EaJrYlGR4swK0fd5FZxyi2/jgdkhemrVYjisSvRUmUKt8fEAV6LvvAHu/7DfoxCZ3x6/FLZd68minBC9stKsV2zb3esmJhInPott56IQ3V9Ze6IvOhxqlpR1PCILjnqiS54UoosEjR2Fm46HiTyaIyZJV4munuiSlhOiT/VbzHSpr4i4E43C4CA0NyffOVLw+twrySG6basS3Y2aGhgZmX3/xIT5f3YbdpXVeDf0/sPvUYjMbx7OczE4aEL0igpzO+qyc8fEhFlHhcPuQ/RM+3jqie6/jFeC3no2PHdV2ccjsqDYMQglQnQ361NZ2CJ+D0BEUjgTyBTRE90J0Z2JRfv7oanJo/HJ/BGugtPvgcpmQO1cRIrV32++z6hE33E9PHclnHqbL2OC3JXoJ50EixeXf1xBVldnruJK5bRyiUYTwVdgaBI6kTLwrkXXwAA0NJiiFzDrFzfrlfFx85rKSlNJ7qYnerp9PNtWT/QgyLj/bUchHtT+YSLzRFLbRVWiixsK0UWCZjpEL+w0aPKBvTOxaGcnLNHVgJLKCsGiI6b/1hSiixSnt9esf2e0RglYT/R0legHH2y+JKG+PnuI7jbsKiuF6CKlV7sKqts9WVRqiO62VdTEhHlNRUV+leip7VycFjKqRPdXxv1vrdNFSu9N42CZWFQhurihixVEgsa2oXaf6ZV5vlLbuYyOQnc3tHuzvy/zzc8jMLINUIguUiynH/qMqkAPL/0vVK5KdJmtvt60QkvlhOiB7Iu++Fg4+Mt+j0JkfjvyW7DqjZ4samjIhOjOCTm3kxY7IbpTiV7oxKLOvA8K0f0VCmVoEaYQXaS0bBt6HzZXfaCJRcUdVaKLBE1FPbxmW8EvT51YdNcus0Foa/NofDK/JO2gp6tSEhH3Zk0qCuYzFvG34XjyhHLpKtFltjkZotetMF8iUjo7fg/166FpY9GLGh42raOcEN3temV83LRsdK44LTREHxsz39XOxV8Zi1iO+g5ENOu3SMnEJ+DPR8M5e6C6XZXo4ooOo0SCJjYOW38J8cLSzNRK9O3bTZWLdpAlraQQXZXoIsVJG6KvfQeceJ0fw5mWPKGcKtHdaWiYgyH67lvgL2f4PQqR+e3Jy6H7754sanjYtP8Kh80+WL6V6E47Fzfr9HSFEk4/9cC1plpgMu5/VzRAqLLs4xFZMFLmotPEouKG/kREgmayH+584/RlRflKnVh0YECtXCQLheginkkbog+/aC4V9VGunugyW65KdLdhV1nFxmF0h9+jEJnfPGzR5VSigwnF8+2JXmw7l7Ex08pFJ1b9lXH/+973wdNXlH08IgtGmhBdleiSiw6jRIImZWWer9SJRUEhumTxquegfh2gEF2kWGlD9O2/hUcv9mM401J7oitEz62+HgYHZ98f6Er0UET9c0VKLj49IXuxkkP0ior8KtGrqvKbWNTpu53ce3t0VP3Qg0ATi4r4xI5D9RJNLCp50WGUSNB4EKInt3MBheiSRXzS7EAws2+yiOSvrw+am1PuDNjEoratqkM35mRPdAUuIqXXegzU7lP0YmwbRkZmVqK7DdHHxxOV6G5DdCcYSg5rx8bU7jEIsobo8cKuTBYRFyqb4JzdZk46FKKLOwrRRYLGisDiYwtOOVInFgWF6JLFnw6DgX8CM/smi0j+0laiByxEVyW6O3OyncuiI+D4n/k9CpH57bDLYMnmohczMWECG7ftXGIx+O53Tfie2s7FzSGDs95PDdFVie4/VaKL+CQ2BtuunS4oi8cVoktuOowSCZqapXD6XQW/PLUnOihElyxSeqKnXuorIu6lDdErm6F2hR/DmaZK9PzNyUr0ymYTpItI6TzzHej/Z9GLGR423922c9m9Gz7wAVN5njyx6OSk+3YuMDOsVTuXYMgYoh/1P7Dps2Ufj8iCMdELfztnOkTXxKLihv5ERIJmohee/FbBL1c7F8mLFYZ4IkQHhegihUoboq97Nxz+dV/G41Alev4aGtKH6OPj5nsgQ/Suv8N1K/0ehcj89uyVMPB00YtxQnSnnYqbSnQw1ePj46ZQxtnPz6edS3LbPrVzCYaMIfp4J4ztKft4RBYMTSwqBdBhlEjQjHXCPy4s+OXpJhZdssSDccn8FKoEEj3RQS1dRAqVNkTvfRg6/+bHcKYlz3egSnR35mQluhUy81yISOl41KJreNgE2M6+V65K9OhUa+zR0ZntXKDwSnS1cwmGjCH641+Fp/6z7OMRWTDsGGBN7xgrRBc3In4PQERSFLlzrkp0yctrtk7/6BxgxWKJvyERcS9tiL79tzC8Fdpf6suYYOZ8B6pEd6e+HgYHZ98/MWGOtQLZE139c0VKz8MQ3WnlArkr0Z0QfWxsZjsXKLwn+uhoovWj+Ec90UV8YkWg9ajpmwrRxQ0dRokETZE755pYVPKy936Y6AMSOw2qRBcpTPqJReOmQthH6omev2yV6LW1Qa1EV+AiUnIrXw91q4peTLoQ3U0lenKIXmw7l8lJhehBYFkZ9r1DEa3TRUqpdjmccc/0TU0sKm4oRBcJmopGWPHagl+uiUUlL3e+GXoeANTORaQY8Tj090Nzc8oDHlUtFkM90fOXLkSPxcxXXV1AQ/SmA+HMh/0ehcj8dtAXoPnAohczMjIzRM+nnYvTE92pRC+0nUvyMYP4J2MleqQBwuq3I1Iy4z3wzP9M31QlurihwyiRoKlbBS+5quCXJ+8QL14Mn/sctLZ6NDaZf5KqXBSiixRueNhUeTc1pTxQv9aEmz5KDdFViZ5bfb2p+HSCK0gE5/X1AQ3RrZDvJ2xE5r2HPgn9TxS9GC/auRTbEz0aVWAUBBlD9IMvhkMvLfdwRBaO0Z1mnT4lFlOhieSmPxGRoBneCo98Ie+X2Tbs2jVzYtGKCvjSl7QxkCySLv9XiC5SuIEB872hIeWBde+C/T5S9vEkS23nom1CbvX15vvwcOI+p0q0vj6gPdGHnoPfrfd7FCLz24u/hrHOohczPGxaQzncVqKPjJifk0N0NydG07VzUSV6MGQM0Qeegt5/lH08IgtGytWiqkQXN3QYJRI0IzvhuSvzftntt8Mpp2iHWPJUuwJCpu9P8sSiIpKfgQFTVThr53vnn82Xj1SJnj+nQjS5pYsTcAW2nYt6oouUns8TizonbL1o56KJ5IMhY4j+ws/g6f8q+3hEFgw7BiGF6JIf30P0Sy+9lKOOOoqGhgba29t5zWtew1NPPTXjObZtc/HFF9PR0UFNTQ2bN2/m8ccf92nEIqUWL2jnvKsLenpmTiwqktPL/gRLTwY0sahIMQYGoLExzQO7/gS7ghOiqxLdnXDYVIkqRBeRGUoUorutRO/vN9+9aueiYwb/ZQzRrTDEo2keEBFPVDRCxyunbypEFzd8P4y67bbb+NCHPsTdd9/NTTfdRDQa5fTTT2c46frZyy67jG984xtcccUV3HfffSxdupTTTjuNwcFBH0cuUiIF7pwPDJgdcu0QS1523QjDLwJq5yJSjIwhekqVix9CocQVJqpEd6++HpJ3NScmzMFVdXVA27koRBcpvf3/DepWFL2YfCvRnXW4U4meb4huWeZL7VyCJ2OIHtI6XaSkGtbDsT+avhmPK0SX3HwP0W+44QbO/tRbAwAAWLJJREFUO+88DjzwQA455BCuuuoqXnzxRR544AHAVKFffvnlXHTRRZxzzjls2rSJq6++mpGREX7605/6PHqREqhZDuvfm/fLBgZMn0RVokteHvk8dN8NKEQXKcbgYJp+6OBZ1WIxVIlemPr62ZXolZWmYjSQlei1K+DNMfOfLCKlsfECqN2n6MWMjMwO0d1UoieH6E47F7cnRlPDWoXowZAxRK9eZtbrIlIaQy/A45dM39TEouJG4P5E+qeuUVu0aBEAW7ZsYffu3Zx++unTz6mqquKkk07irrvu8mWMIiXVsA4O/EzeLxsYMDtgw8OJnWqRnDSxqIgnMlait74EFh1V9vEkC4fVE70Qcy5Et6Ow9z5AIbpIydz+Whh8tujFFNPOJRw2X/lUooN5jSrRgydjiL7unXDoJWkeEBFPjGyDZ783fVPtXMSNQG02bdvmYx/7GCeccAKbNm0CYPfu3QAsWbJkxnOXLFnC1q1b0y5nfHyc8fHx6dsDU6fs4/E48QWaDsXjcWzbXrC//5zS+zDWlquxD/9mzqd2dpqV/bJl0N9vARZ9fTZNTRCP6yBaZkq3HrCsMHZ8EuLxqeLFEJOTcQXpInnq74eGBmv2unf128x3nz9UsZgZWywGlmVpn8CF+nqLgQF7+r9ubAwqK62psMv2+790trEeQje+hPi5wxCu9ns0Mgfo+CB/1p5bsSeHil6nDw1ZLF6cWI9UVFhMTGTefzcBe4i+PpvKSvM8E4CHAHf7baGQRTSaeM/JSWsqwNUxg59S/1+m9T0CIzug48ySj0HrAlmQYpNYhLGn/u6jUa0TF/K6wO3vHKgQ/V/+5V945JFHuOOOO2Y9ZqWUTdm2Pes+x6WXXsoXv/jFWfd3dXUxNjbmzWDnmHg8Tn9/P7ZtE9I1KoFWufcJGnb8mb37dGZ93o4dIY48sh2A3/xmL3v21AC1dHaOU1MTo7NTcwbITOnWAw1V+zI+GmGi0/y9hUJL6Ozspqpq4W04RYqxc2cdlZUROjv7Z9xfs+sXxCtaGF98eoZXlt7wcA1jY1V0dvbR31/N5GQNfX192ifIobKyhV27xujsHAVg9+4KIpFmYrFxentjdHYO51hCeVmTvSwBujp3Y4dr/R6OzAE6PshfezxKT08/0Yns++m59PQ0sWrVJJ2dIwBEow309ZFx/33v3iqgha6uMSoqqujs7GRiohZoZGhogM7O3Me4ltVOV9demptNOfrgYAOxWOb3lPKIxVrp6xuis3N8xv21235PZe8d9EWOKPkYtC6Qhaiyt5vGOHRPHQcPDzdSXx+ns3Moxyvnr4W8LnA752ZgQvQPf/jDXH/99dx+++3ss0+iz9zSpUsBU5G+bNmy6fs7OztnVac7LrzwQj72sY9N3x4YGGDFihW0tbXRmPZa6/kvHo9jWRZtbW0L7sMw50w2YFVU0d7envVp27dDa6vNfvvByEgLk5PmpNLYWBWNjdDeXlOO0cocknY90P49kv9SQiFYtGgxOf78RCRFPG7R3g7t7VUz7reefwA7vB4/P1RNTRCJWLS3t1NfbybGbG5u1j5BDosWWYRCFbS3m2b3dXVQXW3R0FBDZSW0t9flWEKZTZi/vbbWFqhs8nkwMhfo+CB/FnEWtS6GpuLW6dGoRXt7Fe3t9QA0NVnEYpn3353WL2Nj1VRXQ3t7O1PdT2lqaqS9PfcxbiRi0dzcOr05cq6s0TGDv6qqLBoammbvJvS3YA1Hch4TekHrAlmQqjdB7Lzpz1hFhUVTk017+8ItRFjI64LqandXcfoeotu2zYc//GGuvfZabr31VtasWTPj8TVr1rB06VJuuukmDjvsMAAmJia47bbb+NrXvpZ2mVVVVVRVVc26PxQKLbg/hGSWZS34f4M5wbLBCmPl+H8aGTGT2LW2Qm+vNT3R0MCA2SEOhdT0VmabtR548dfQsAFaDgGcvpqWJlURydPgoFkfz1732ljhiK8zFUUizoSiZmyhkK19AhcaGkzLBeefKBo1PYgrK83PgdvORiqhZpkZl/5fxSWtC/J09Hex6vYp+jNm9uMT65eqKtMWLNN6xbnKfGDAorLSPM/piR6JhFwNJ3UfLxaD2toArssWmIz73qEI2PGcx4Re0bpAFpzmA8zXlFjMnGxc6B+BhboucPv7+v6v8qEPfYj/+7//46c//SkNDQ3s3r2b3bt3MzpqLp21LIsLLriASy65hGuvvZbHHnuM8847j9raWt7ylrf4PHqREmg6EDZ+POfTBgcTIfrevUyH6P39mlhU8vD8VdD99+mbGSc3EpGsBgczTCxqx8wEvj5K/lzbtiYWdSvTxKKVlQGdWDRSB6/dCZXNfo9EZP5a8zZPrvRIN7FotvWKM7HowEBiQtF8JxZN3cfTxKLBkHHfu34NtB5d9vGILBg9D8LDF07f1MSi4obvm83vfOc7AGzevHnG/VdddRXnnXceAJ/85CcZHR3l/PPPp7e3l2OOOYYbb7yRhoaGMo9WpAwa1puvHJJD9O7umSG6dojFNStsQr4poZDZgRCR/AwMmHXyLCteC9XL0jxQPskH6PG4ipTdqqtLH6JXVJgALHDsOGz7DXScBRG1ZxApid9vhJNvgdrlRS1mZMRUgTsqK53JQ9NLDtHr6xOvAffr9HB45j6eQvRgyBiiLzvdfIlIaYxsg11/hkMvBZxKdJ/HJIHn+5+Ibeee+dayLC6++GIuvvji0g9IxG+7boIXfwXHfC/r0wYHzU704sXwyCMK0aVAKSF6OKxKdJFCDAxkqERfeW7Zx5Iq+eSYKtHdq6mBrq7E7YkJ03IhV8Wor+44F16zHSLFBXwikoZtw8BT5oRVkdJVorsJ0fv7TQGN8xpwv05XJXowZQzRex6Cnvtg/fvKPiaRBSHlatFoVJXokptqkUSCZqwTBp7M+bShodntXFpbzQ64dojFtfYTTU/0KWrnIlKYjCH6o1+C7b8t+3iSJZ8cUyW6ezU1MNVdEJhZiR7IEN2a+o+1dTmRSEk44bkHLbpSQ/RcbaKcE6GDg961c1HrgmDIuO/d/0/Y8r9lH4/IgpESomudKG4oahMJGjuWOBDOIl07lwMOMIG6QnRxbeO/zripEF2kMBlD9J77oaq17ONJltrORZXo7mQK0XO1XfBVytVFIuIh57NVghDdbSU6JMJzpxJd7Vzmtoz73lqfi5RW00Gw779M31Q7F3FDtUgiQeNyEjqnnUtrK7z4otn5WrrUPKaJRcW1539sWghNUYguUpiMIbodd3VitJRSJxZVJbo7c64SHWDxSyCknQCRkghF4OSbobKlqMXE42bdkk8leroQXROLzg8Z971DEYhH0zwgIp5o2mgmi56idi7ihg6jRIJmyctg0+dzPi25nUt3t7nPCdG1Qyyu7b7J9FucoolFRQqTOUR3d2K0lFSJXpg5GaKfdgfU7uP3KETmJysES0+BcGVRi9m+3QQ1LUlZvJuJRZ11d1VV4jWgnuhznWVlCNEb1sPK15V9PCILxs4/wf0fnb6pdi7ihkJ0kaCpXw1LTsr5NKedy+LF5nZtLTQ1mZ+1QyyuhSIQ18SiIsUYHzfhR9oQfb+PQNuJZR9TMlWiF2ZOhuhP/zeM7/V7FCLz0+QA/KLWfC/CDTfAcceZK0odudYr0Wji+WrnMr9krERvORQO+FS5hyOycIzugv7Hp2+qnYu4ocMokaB5/sfw93fkfJrTzmXRInO7qSlxWahW/uKaFQY7camo2rmI5G9w0HxvaEjzYMeZ5nJRH6kSvTBzsif6Pz4Dozv9HoXI/GTHIDZKsYfQf/gDvOIVM+9zU4meGqKrncv8kHHfu/cf8PCnyz4ekQUj5WpRtXMRNxSiiwTN5ABM9OZ8mlOJXllpvjc2KkSXAix7OSw+bvqmQnSR/A0MmPVudXWaB+9+J2z/XdnHlEyV6IWprZ0Zoo+Pz4FKdE1EJ1I68fwnFn3+eXj1qxO3x8fh5pvhrLNmPi+fSvTUdi75VKIrRA+ejPveo7th+/VlH4/IgmHHZ6zP1c5F3NBmUyRoXPbPdXqig+mLnhyia2JRcW3l62fcVE90kfw5/dDTVngPPgvRwbKPKVny51qV6O7NyXYuCtFFSsfOP0S/4w64/vpE8ctf/mKuIt20aebz3FSiO/v9qe1c8umJnryPp8AoGDJPLKr1uUhJLTkZGvebvql2LuKGapFEgsZliO7sjMPsEF0rf3Ht2Svh+R9N31RPdJH8ZZxUFKYOgP3d3Ur+XKsS3b1s7VwCG6Lv8yqoaPJ7FCLzU1UrvPIpCLmvVnnkEfP9n/803y+/HN71rtnBt5sQ3dnPVzuX+SVjiJ7SclFEPNa4AZZsnr6pdi7ihjabIkGz+s2w/JU5n+b0RAczuWhtrUJ0KUD/YzNO2qidi0j+ktfHs9gxU03mI/VEL0y6EL2uzlR/BrYn+jFX+j0CkXnMMkF6HivR5BC9osJUpv/kJ7Ofl+sKl1jMm4lFFaIHT8Z97/p1sPHjZR+PyILx3A+h53446r8BXZ0j7qgWSSRoqpdCw4acT8vWzkU7xOJayqX/CtFF8jcxkehRO8vhl0PbS8s5nFnUE70wNTWmf7Hzbzcn2rk89hUYfM7vUYjMTyPb4Dfteb3kkUfg8MPh8cfhW9+Cd77TFL+kymdi0UJ7oqe2c1GIHgwZ973rVsK+55d9PCILxkQvjHdP31Q7F3FDh1EiQfPPS+Hvb8/6FNue2c5l2TJoazPV6KCVv+RBIbpI0ZxwNa22Y6FmaVnHk0qV6IWpqTHfx8bMd+dkSaBD9Od+YII+EfFenu259uwxX294Azz0EFx3HbzjHemf62Zi0dSe6M73fHqiqxI9eDLue/c/AX97XdnHI7JgpLTRVSW6uKHNpkgp7fg9DG1J3G4/CVoOhhd+DuNdifuXnwX1a01/6q67zKWiWYyOmp0tpyLlC18w3x9+2HzXxKLi2j6vhnjiqE0Ti4qkYdvwwv/BRF/ivg3nw8Re2PoL1k7CGw8Dnq2B9e+Boedhxx/M8575tqlG73i5DwM3VIleGCdEHx01J6nHx832NVfFqK9CEU1EJ+LW8FbYfn3iduUiWPNW6HsM9vw1cX/dSrO/NPBEXpOKPvoorF0LxxwDn/40rF4NRx6Z/rn5VKKrncv8kjFEjw5D1x1lH4/InNN9N0TqoPkgeOFnM6rLWf5KqF8Dz34fYmOJ+1e9CcK1JJ8YVU90cUObTZFS6nsU9t6buF2/zoToPfeZkMXRerQJ0bvuMJMVdZyVdbGDg+a7U5HifFc7F8lb2/EzbmpiUZE0YiPw+CVQtxrC1ea+DR+AyUHY8xfabThyH6CryYToY12w5y/meU2boHGjXyMHVIleqOqp/2qnL/rgoGmdFuhK9JSri0QkjT1/hb33w9JTEutqgNqVJkQf3Tnz/pbDTIg+OQjr3+f6bR55BA46CA480Nw+99zM6183leiLFpmfi5lYNLlQQq0LgiH7xKJan4vk9MjnzHr6sMtM9jL8QuKxxS8xIXrn3yA6mLh/+SvNPntVor+W1onihv5ERErlycth6Wlw4IWzHzv86+lfc+yPXC16aMjsbKf24FWILnl79nswuhsO+jygdi4iaUXq4JVPzL6/YR2ceC1/+h/43R3wB2d1v/gYOPHasg4xG1WiFyYUMttZJ0Tv7YXm5oCH6GveAbUr/B6FSLANPAmdt8EBn0i/rl52uvlKtfrN5sulnh5YutS0XDz4YHjrWzM/100lenW12ccvpid6aiW6qi79lzVEjytEF8nJjkHTAebnI76Z/jnH/Tj9/avfNP2j2rmIGzqMEimVF38Fg8+WZNGDg4lLOpMpRJe8je6ecVWEQnSRNCYH4JHPg53+w5G1J3oAJFcfxuMK0fNRU5MI0fv6oKUlfYgej8Mhh5jJA3114KehaX+fByEScPFJc+VniSW3S/nHP8w6IpPKSrNese3sy6quTmxvnLDH7dVFaucSTKFQhv/3upVw1HfKPh6ROSceBav4dbpOLIobOowSKZUS7qAnTyqaTCG65E0Ti4rkNtEHj30ZSJ9UzIUQXe1cCpMcovf2mhA9XcXonXea1g0PPlj+Mc7w8IWw9z6fByEScPFo2UJ0t4GM0988Gs28rNQQ3bLMz4W2c1GIHgwZ970rm2dUyYpIBu0nQt2qohejdi7ihkJ0kVKxo2aCrxIYGsoeomtiUXEtTYiuiUVFUsQnwYpkTJ8nJ4MdoidXH6qdS35SK9EztXP51a/M92eeKefo0th9M4xs83kQIgHXdjysekvJ3yafkNrZhmRq6eIE8tXVM9s5VlQU185FgZH/Mobowy/C73VlkUhOh/x/0H5C0YtROxdxQ5tNkVJZ83Zo2FCSRWeqRK+sNDvD2iEW11acYybWmqKJRUXSsLNXLaoSff5yQvTxcfO9pQVGRmaG6PE4/PrX8LKXBSBE10R0IrktPqYsbxONzp6/KBOnACbTfAtO4F1TM3N7k08lutq5BFPGEN2OwaDfGxWROeCf/w7Lz0r0RS+Q2rmIG6pFEimVjf9a9Io8k0w90QGuvx42lCa7l/mocV9oPWr6ptq5iKRR0Qjr3p3x4YmJYF8BpIlFC+eE6L295nZzswmt4nFTsfTPf8JLXmKCqPe9D55+2tfhaiI6ETee+6EJXUrMy0p0p81AcjsXgJ/9zExa6obauQRT5olFIyZIz9QoX0SMLVfD8NaiF6N2LuKGDqNESuXeD0LfYyVZdKZKdIAzz1RAInl47gdw9zunbypEF0mjZhkc+V8ZH1Yl+vzlhOh9fVBba/6fkytGf/lLU53++ONwwAGmEt3XvGPfD0NLltkLRQSGnjNfJZZPSO22Ev3zn4cTkroWnHGG+/dI3cdTYBQMmUP0qZLYDJOai8gUj+aiUzsXcUNRm0ip7PqTmYyuBJzJzUSKFhuD8b3TNxWii6Qx9Dw8cEHGh4PeEz25+lCV6PlJrkRvbjb3Oe0ZnBYv++5rTmyvX29Ocnd2+jZcMwldk3roimQVj5oq3xLLJ6QOhUx4k60neiQCr389LFlS2HjC4dmV6AqM/Jdx37uqlV/3/pUf/khnvkWysr1Zp2udKG7oMEqkVOKTJZtYtLcXFi0qyaJlobHC5mByiiYWFUljdDe8+OuMDwe9Ej15IkxVouenpsb0QO/rS5y8rqkx30dHzWO1teZ2bS0sX+5zX/QHLoAdv/dxACJzQAn30ZPl2y6lsjJ3iF4MTSwaTJaVIUQPV/H/fX8zd9+tyEYkqzXnQd3Kohejq3PEDa2RRUrFo8uK0unpUSW6eCRlEjpNLCqSxhyfWLSqKhHMqBI9P8mV6M52t6LCfI2MmC8nVAdTle5rX/SBJ2F0l48DEJkDVr8FVr+t5G+Tb0idfMKz2GWloxA9mDJVou/d1cc9/1rFcP9g+QclMpcc9DmoX1v0YtTORdzQYZRIqRzyFagt/oxoOqpEF8/s85oZvZ7VzkUkjXjuED3IE4tWVppgxrZViZ6v5J7oTjsXMFXnIyPmMacSHWDdOnj++XKPMknKiVERSaP1SPNVYkGrRE9u5xKPmy+F6P7LtO/9tztCVFVM0N+rdbpIVne/G4a2FLUI21aILu4oRBcplfXvheq2kixalejimarWGWfuFaKLpFG/Gvb7aMaHg16J7ozNCdJVie5eukp0SIToqZXora3muY6774Y9e8o3XoXoIi48/Gl48lslf5sgV6I7YbpCdP9l2vf+623mP6evT+t0kay2XQPRoaIW4XwGtU6UXHQYJVIqNx4Pwy+WZNGqRBfPvPAzuOXk6ZsK0UXSqF8L+34o48NBn1jUGdvEhCrR85WrEj25JzqY5zghejQKr3sdXHdd+cbL/p+ApaeX8Q1F5qDR3TA5UPDLH3/cfL5z8boSvdgKyeSWfQrRgyPTvvftfzP/4f0K0UWy82BiUWedqEp0yUUhukip7L2nZNVgqkQXz6RULWpiUZE0uu6E+zKH6HOlEn18XJXo+cpViZ7azqWlxQTuADfcADt3ugvbPNP+UmjcUMY3FJmDipy36Jxz4I47cj8v3xDdmcjYi2Wlk7yP56yXFBj5L1OI3t1TybXRZ3hu2yJsu/zjEpkzPJiLTutEcUuHUSKlYNsmmCzBxKK2rUp08VBIE4uK5DS6E3oeyPjwXOiJDqpEL0S+7VySK9F/8APzPVN7hpK471/gmf8p4xuKzEF2FEKFJ9JjY+Yrl3yD78WLYe/e9I/FYt62c3ECI1Wi+y9TiB6NWjS1NTE+bjFUXKcKkfnt0K9B1eKiFqGrc8Qt/YmIlII9tWda5GVF6QwNmR1fVaKLJ9JUoitEF0kRzx64BL0SPRw2wfnEhCrR85XvxKJOJfrEBPz+93DooWUO0Sd6YLK/jG8oMgcd9AWINBT88mg0c9uV1OflU9W4eDF0d2delhcTiypED55M+96Tk/Cy3iWsanuevXtX01D4n6zI/LbxgqIXoXYu4pYOo0RKIgQvvRYqvUu6o1HYf3947jkThjQ1ebZoWcg6XgGb/zR9UyG6SBrxSbAyl5oHvSe6ZUFVlSrRC5GpEt1pu5CpEr2ry2y399uvzO1cNLGoSG5NB0DdioJfPjnpPkTPtxK9lCF6unYuCtH9l7kSHSBMa0uMvXvhj39EbV1EUsUn4c/HwkRv7udmoXYu4pZCdJFSCIVhxWsgXOXZIicm4Mkn4c47zUG6KgnFE3Yc4olrktUTXSSNtuPggE9lfDjoleiQmLAuHtf2Ix/5Tiza0mJC9D17TNu1mpoyV6JbYXPlhIhkduvZ8OyVBb88n0r0oIXoqZXoCoz8ly1Et60wrYtiPPccnHUWvPBC2YcnEmzxCdh7d9FnmNTORdzSYZRIKUz0wm+WQHTUs0U6B+H33KN+6OKhztvgr2dM31QlukgaDeuh4+UZH55LIfpcGGuQ1NRAf7+pLE/e9mZr5zIxAS++CO3tpld+WUP0Ay+Cte8s4xuKzEGxUbAKPwyeqyF6cjuXWMzs8+mkqv+yVqJbYRYtivG3v5n7yro9EZkLnMKBIueiUzsXcUubTZFSiE3AWGdRkxalcipG7rlH/dDFQ5YmFhXJactP4L4PZXw46BOLQiJEHxuD6mpdD+5WTQ089BCsWWNaqjlqa2F4eHY7F6fV2lNPmRA9EilzO5fGDUW1qRBZEOxoUYFLNOouzMw3+G5tLW87F1VcBkO2nujbjt7LcHgjt99u7ivr9kRkLohPrYyLnIvO+WzpxKLkoj8RkVKwvVmZJ3N21p9+WpXo4iErDHFNLCqS1XgXjO3O+PBcqO6urITxcfNVXe33aOYOJyD/z/+cGTjV1poWL/H4zEr0igqorzfbal8q0e/7EDx8YRnfUGQOik8WtY/utid6LBasSvTUdi6quAyGdPve8bj5qp54mmVtozz6qLlflegiKSrq4YRfFt1GNxYz60TNGyS5KEQXKYX4pAknPVwLJ1ceqBJdPGNFZvydKkQXSWOOTywKMyvRgz7WIDniCPj+92Hz5pn319bC3r3m5+RKdDC9051K9LKH6FiaWFQklxN+CctfWdBLbbu07Vyc9Uqxy0on+WpDVaIHR7p9b+eKgbZHT2Fjx5PT7Z5ViS6SIlwNK88tqkUXJEJ0kVwUoouUQk0HnHGPp4tMPghXJbp4ZslJcPbT0zc1sahIGjku/Z8rlegTE6pEz1dLC7znPbPvr61NVIymhugtLaYSfckSH9q5pLToEpE0QlUQKmyl7YSdpeyJnm5+PC8qx9XOJZhCodn/59PbDStMS3NiI6JKdJEUw1vht2uKXoyuzhG3FKKLlEKoApoP9nSRzordslSJLh6aHIDuu6dvqhJdJI1Vb4IDPpXx4bkQoldVJSrRq4q74lVIhOiVlbODqOZmMxGpL5XoCtFFcvvLybD75oJe6oSbpQrRJyZgaGj2Y/m2hkkntZ2LQvRgSLfvPR2ihyI0N5l1ekODKtFFZomNw9ie4hfjwTpWFgaF6CKl0PcY/GaJp4ucnDTVbitXqhJdPNT/BNz+2umbmlhUJI36NdC8KePDc2liUVWie8Np55JahQ6JE92+hOgHfQ4O+kIZ31BkDiqiJ7rzeS5FiN7UZPbD0vVFVzuX+StdiO78ndlVbTQ1h1i6FNraVIkuMkuRc1w41M5F3FKILlIKtjcr82STk+Zg/PjjYf16TxctC1koMqNqUZXoImk88nl44F8zPjwXKtGTe6KrEr14TiV68qSijuQQ3Zd2LiKSXTx7i65sSlmJblnQ2jo7RLdt7yrRnXYuqroMjmyV6NFTH+LIM47hJz8xx4GqRBdJYU8WvD5PpnYu4pY2nSKlEI+acNJDzo74T37i6WJloUu59F8hukga0RGw038wbHvuTCw6Pq5KdK/U1poQLV0lenOz+e5LJfo/L4PxLjj6u2V8U5E5Jsc8F9k4Iaabz3Uh1d5OX/RkTvCtdi7zk2VlDtEr9t5C1aKDOfnkNiIRVaKLzNKwAV52Q9GL0YlFcUuV6CKlEJ8Ey9tr+51KdBFPhaqhdp/ETU0sKjKbnfnEaCxmgvS5EKKrEt07TgV6rkp09UQXCaCzn4G24wt6aSkr0SF9iO68p9ftXFR1GQyZKtEtC0IP/gv0PgyoEl0krXAtLDqy6MWonYu4pRBdpBRaj4aX3+/pIlUxIiXRtBFe8Y/pm6pEF0kjnvlSUSdICfpJTvVE95YTnmeqRK+oMP2NfWnnohBdJLv+xyA2VtBL8+2Jnm8oU8oQPblQQscVwZGpJ3okwtQ63fwBqBJdJI2uO+D6tUUvRicWxS2F6CKlYEchPu7pIlWJLiUxOQgv/Hz6piYWFUlj0+dh48fSPuQEKapEX1hyVaK3t5sqQl8q0eMK0UWyuuVkGHy6oJfOp0p0hejBkKkSPRGim3V62U/KiswFHk4sqnWiuKEQXaQU9twKfz3T00VGowrRpQTGOuHu/zd9U5XoImlE6qCiMe1DTkAa9BC9qkqV6F5yKtDThejr1sEhh5ifyx6iH/gZOPbqMr6hyBwUjxbcdrHUIXpzM/T1pX9P9USfn7KG6E0HQqQB8GF7IjIXFDHHRTK1cxG3fA/Rb7/9ds4++2w6OjqwLIvrrrtuxuO2bXPxxRfT0dFBTU0Nmzdv5vHHH/dnsCJuZemfW6jpy/pEvGSFNLGoSC73nQ9PfiPtQ3OpnYszsagq0YuXrZ3L8cfDH/5gfi575eDYbhh8poxvKDIH2ZlbdOWSbzuXfPfdm5qgv3/2cqD4gCe5nYuqLoMjU4heUQEc/1NYchKgSnSRtOKTnuQuaucibvkeog8PD3PIIYdwxRVXpH38sssu4xvf+AZXXHEF9913H0uXLuW0005jcHCwzCMVyUMJJhZVJbqUhBUGO25mRkQTi4qkZWe+VHRiwhzYhnzfo8qushKcXSdVohcvWzuXZGWvHHzhZ/CPz5TxDUXmoMpFECrs8iG3lejxqV2rQkL0gYH071lswKN2LsGUtRL9xWtgwJwYVSW6SBpLT4GX3Vj0YnRiUdzy/c/kzDPP5Mwz07e9sG2byy+/nIsuuohzzjkHgKuvvpolS5bw05/+lPe///3lHKpIHuIQ9rbUT5XoUhLhGmh7KWADlnqii6STpd/ixMTcOMFZWZkIZqqrTW90KVy2SvRkvvRE18SiItm9dkfBL3UC7Vyfa6cgId9998bG2ZXosZgJWos9WauJRYMp68SiT30TNnwIGjeoEl0kHTtmrqwuktq5iFuB3nRu2bKF3bt3c/rpp0/fV1VVxUknncRdd92VMUQfHx9nfDwxqePA1FFjPB4nvkDToXg8jm3bC/b3L7t9Xme+PPz3Hh+HigqLeNz2bJmysKRdD1S2wim3mgzdjmNZFrEY+jsTSWLFJ7GtSNp1+tgYVFYGf91cUWFNhegWFRVxRke1T1AM0xInRE2NnfX/PhSCaLSMfx9WGCsexdb/rbiwII8P7DjsuB6WnVlQwYupQA8xMZH9s+88LxSK53U40NAAAwMz1xnmiqfi1yOWBbGYWc7EBITDwd92LRTO/4vD+T+3CWPHJyEeJxKxmJy0S1LssiDXBTI/bLsO65nvYJ96e1GL0TrRWMjrAre/c6BD9N27dwOwZMmSGfcvWbKErVu3ZnzdpZdeyhe/+MVZ93d1dTG2QEuv4vE4/f392LZNKOjXnM8DofE9hCb3Eq0/wLNl9vRUE4/X0tnZ49kyZWFJux6IjVK3/QcMr3g/hCoYHa1neDhEZ+dA9oWJLCTrv2WqXDo7Zz20Z0+ESKSFzs4uHwbm3uRkPd3dFUAVfX2dDAxon6BYVVVLsO1hOjuHMj5nZKSK0dF6Ojv3lmVM1SM2VfEa+tP8rYqkWpDHB7FRlt7xOvac8Bh2ZWveL+/srABaGRqazLpPPjRkAUvo7e0iFnMfysTjlfT0NNLZ2T193549YcLhVjqL/FyPjtYyOlpBZ2c/vb01xOPVdHb2FrVMKd7wcA1jYzP/L7q7KwmFGpmYjDHa38dYZyexWDM9PRN0do54PoYFuS6QeaG6r4faaJyeItePPT1V2Hbdgs9aFvK6wG3L8ECH6A7Lsmbctm171n3JLrzwQj72sY9N3x4YGGDFihW0tbXR2NhYsnEGWTxuKkzb2toW3IfBF8/9Fmvbb7A3/8mzRdbUQF2dRXt7u2fLlIUl7XpgopfQbV+h7tBPQkU9DQ0Ww8PQ3q6mySLThp6HyhbzlaK+Hqqrg79ubmmBiQmLqiqbJUvaCYW0T1Cs2lpYvLiW9vbMjdEXLwbbLuPfR/uHgA8R7L9GCYoFeXwwaYoE2to7oLIp75c3NDg/VWT9XDttvpYta6Ouzv3yV62C4eGZ64yuLnM1UbHrkcZGU93c3l5FTQ3U1AR/27UQNDXN/v+tr4eqKovK5S+jom0jje3t1Ndb1NRU0t5e7/kYFuS6QOaHoRqsntqi12VzZX++1BbyuqDa5aRRgQ7Rly5dCpiK9GXLlk3f39nZOas6PVlVVRVVVbMvzwuFQgvuDyGZZVkL/t+gbOwYhCqwPPy3jsedyesyn0ASyWXWeiBsjvJClg2h0HRPdP2diSS5732w5h2w9h2zHopGTb/xoH9mqqtNT/TqarM/pH2C4tXWmpPb2f4JKyvN30jZ/j6GXoDhrbDkpPK8n8x5C29dYC7XDkUqC2oy7lztPTFhZf1cO8+rrAzl9TbNzaYnumVZODVjXh0DhMNmstNQyMK2TdAf9G3XQhCJzN73diY5tA75Ms69FRWmPVipPqoLb10g80Pck9wlHjfrSK0TF+66wO3vG+h/lTVr1rB06VJuuumm6fsmJia47bbbOO6443wcmUgO8UkIeTvT3OTk3Ji8TuYYa2oGlamJ6DSxqEgaWdbpc21i0TQ1BlKg2toATizaeRs8NruloYhMsSxYdARYha24nYkdTc/z3M/Ld/LOpibz2uQOpF5NApq8j6eJRYMj3cSi0/8/z18NXX8HnBC9/OMTCbT174PNfyx6Mc6JK5FcfP8zGRoa4tlnn52+vWXLFh5++GEWLVrEypUrueCCC7jkkkvYsGEDGzZs4JJLLqG2tpa3vOUtPo5aJIeKeqjp8HSR2tmVkrAqYNWbIWT+uNLtyIssePEoWOlXwJOTJqAOOidEX6Bd7UqittZ8ZROJlDlEt8LTJ0VFJI3KFnj5/QW/3Pk8uw3R8y3kc9bR/f2Jk3ReHQOEQiYo8nKZUrxMIXpFBbDtGlh6OrQdW/7tichcMLIDokPQuF9Ri4nFzIlGkVx833Tef//9vOxlL5u+7fQyf8c73sGPfvQjPvnJTzI6Osr5559Pb28vxxxzDDfeeCMNiYZ0IsGz7t3my0OqRJeSCFfC8T+dvqkQXSSNSC2E05ccT0zMrRC9rc3vkcwfGzbAypXZn1P2ykGF6CLZTfTDC/8H+36ooJc7n+dcYWY0agKZLNN4pVVZmWi/NdXZdHpZxUrex1OIHhxZK9GT1umqRBdJY+vPYO99cMIvilqMV+tZmf9833Ru3rwZ2848Y7llWVx88cVcfPHF5RuUSLF6H4HoMLQd69kiFaJLSdg2PPAROPjLUNk8o0pJRKacckvGh+ZSiB6Pm3BGvPGrX+V+TtnbuVS3QePGMr6hyBwz3gUPfqzoEN1NJXqhIXVjo6lE92JZyVLbuSgwCoZ0IfrkpBOiR8A2f3SqRBdJw6M2umrnIm4Fuie6yJy17Rp47kpPF6mKESkJy4Knr4DJAUCV6CJp7bkVxrrSPjSXeqKDeqKXW9lDj6WnwjHe7n+IzCtFBi7RqGnjVMoQvanJVKI7vAp31M4lmLJWone8HFoOAVSJLpJWlpaL+VA7F3FLIbpIKdhRTSwqc4cV0cSiItnc+z7o+0fah+ZSJTqoEr3cyh56DD4HW/6vjG8oMsfY0YInFQWzP17qEL1Ulehq5xJMoZC5MDTZ9P/Punebk6OoEl0krUiduQqvSLo6R9xSiC5SCvFJT86IJtPOrpSMFTZn8VElukha82BiUacCXZXo5VX2di79/4Qn/r2Mbygyx0TqYfnZBb88GoW6uvJWopeinYtaFwRH1olFn/kubLsWUCW6SFr7fwwOK36/R+tEcUshukgp1K2Cxn09XaQq0aVk9v83qGwGFKKLpGVnvvxfleiSTSRiDsyyTP/jLU0sKpJd/Ro47scFvzwahZoas+7P9rkOaiW62rkEj2Vlaeey9x7oNVfCqRJdJI3eh81XkdTORdzSplOkFAqcrCgb7exKyRzy/03/qIlFRdJo2BciDWkfUogu2Tgnv6erCktNIbpIdkNbYOvP4cALC3q50xPdtrNXLhZT1ViOSnQdVwRH9olFE+t0VaKLpPH8j8znpOXQohajdi7ilirRRUph55+g83ZPF6lKdCmZu95mDipRJbpIWqfcAi0Hp31IE4tKNs7fRtmqB2uWwdLTyvRmInPQ8FZ4rvDJd52e6M7PmQS1El0hevBknVg0KURXJbpIGh5OLKp1orihPxORUth2DdQsh/YTPVukdnalZDpvh99tACyOrLmYP8Qvgr+cAXv+knjOMVfC2nfAHw6EgafNfXYUXnoNrDjHl2GLlM1zP4R9XgNVi2Y9pEp0ycbZbpct+Gg5GI78T/jT4dD3aOL+E38Ly18B17TDRG/i/pc/AA3r4FfNZnKuV2+BypYyDVbEB3Y0Y3suN5ye6GDW/zU1mZ9XTCX67t3eLCtZajuXTGOX8sraE32f10K4Cl74OR9f/nbsDuBnQNvxcOqt8MR/wMNJV1WseiMc93/wwAUwss3sp4vMZ1laLuZD7VzELUVyIqXg0RnRZKpEl5I582GY7APgiZ+1mB35Y38EsdHEc6qmZj3ffIPZWQEIVULtPmUcqIhP7v8wLD42bYg+VyYWVSW6P8peie446XqIJ818WL3UfD/jXiApralZbg4+z34K/ngojOxQiC7zW3yyqH10p50LZJ9ctNgQ/emnZy7Li3BH7VyCKWslescZ5o7JIf6v7ynuvBO+9z0gNHVGfN17ZhazhKfO8Cx5GTz8qVIPXcR/dauhanHRi9E6UdzSn4lIKcS9OSOabLo3nojXqhZNh4NRZ0e+Zln659atSPw8vBX6HoPmTaUfo4ifNLGoFCi5J3pZZTrBWb86w/1roboNxrtLNiSRQKhdAavfWvDLJycTFdylCtHL0c5FrQuCI2tPdEdFPaPhenb0A/VJ91c2m69UtSu0PpeFocD5LVKpEl3c0qZTpBTajoO6VZ4usmyTksmCltfEoi/+CvbeByf8oqRjEvFdPPPl/+qJLtmUvZ1LMU67K+3VFiLzSvOmok7+R6NmPRoOl7YSPXli0bExb9bdqe1cFKIHQ9ZK9CR59USvaoNwLdhxsDQNnsxjO34P1Uug9aiiFqMQXdzSGlWkFPb9ECx/paeLVDsXKYe8JhatWgzjXSUdj4jv7Dh0nJm4RDrFXKlEdwIYVaKXl2WZg7I5EaJbYZgcyP08kbms6+/wyMUFv9wJNysry1eJPjQEDQ2FLSuZ2rkEk9sQvaIij6ua6lbAa15UgC7z3/NXQ+ffil6M1oniltaqIqXwzHc8WZkn04pdyiH5ACunqsW6VFTmPysEm/8A1en7LY6NzY1gWpXo/skr+PDTQ/8GT3/b71GIlNbQ8zMnTs9TPiF6oVWNzc3Q15e4PTQE9fWZnu1eclir44rgyDqxaJJIJM9tyfbrYbyn6PGJBJo9CaHiV2aqRBe3FKKLlML262HgCU8XqUp0KYe8KtFrOqCytaTjEfFdbBz+8VmIjqZ9eHQ00R83yNQT3T95XYLvJ/VEl4UgyxwXbji9qisrs3+uiwmpW1qgtzdx26tKdLVzCSZXPdExx4F5bUse+Aj0P1b0+EQCLUvLxXwoRBe3FKKLlEJ8EixvE2/t7Eo55BWiLzocTv1rSccj4rvYKDz+FbDTl3/NtRBdlejll3fw4Re16JKFoMjAxakQrqgoXTuX5mazbRkfN7e9qkSvrTXLdcanwCgY8umJnlclepVOjMoC0HY8NGwoejHKWsQthegipWBHPbmsKJkq0aUc8ppYNB6DZ6+E6EhJxyTiq/hU+mmlX6ePjs6N6m5n+zEXxjrfzJl2LlWLITrs9yhESqv1KFj37oJfXo6e6C0t5rvT0mVw0JsQvbExMWHpXDkBvBCUZGJRMOv0MZ0YlXnuwAth6alFL0aV6OKWQnSRUlj1Zmg+yNNF6uyolENelehWCO4/H0Z3lnRMIr5yKtAzVC6Ojc2NICIcNl+qRC+/OdPOZe274KTr/R6FSGm1HAIrzy345eUI0auqzHbFCdG9qkR3Jiy1bfO9qan4ZUrx3PZEz/uEbOtRUOFBHyCRIHvqP6HngaIXoxBd3FKILlIKG94PLYd6ukhVoks55DWxqGVpclGZ/8LVsP59YKXfs55L1XyVlapE98OcaecSHYY9t/o9CpHSeuHn8MgXCn55ck/0UoXoYFq6OH3RvQzRYzGz3VKIHhwlq0Q/+Euw+i1Fj08k0Lb+HAafLXoxKlgUtxSii5TCAxdA972eLjLdBDMiXsurEh3Ub1Hmv8oWOPq75qRRGnMpRK+qUojuhznTzmV0J/z15aZMVWS+GtkKg88U/HKnQjhXiB6LFbff3tLifSW6MznpwIBC9CDJZ2LRvLYle++Hbb8penwigRYvbrJohyrRxS2F6CKlsOcvngeL6S7rE/Fa3iH6stMh4sGRnUhQjeyEe96X8eG50hMdTOijdi7lN2fauVQthvi4+qLL/BaPZpzjwo1ytHOB0lSiO1cjKUQPlpJVovc+CM9+r+jxiQSaXdw63aEQXdxSiC5SCvHJkkwsqkp0KbW8JhYFOOzfYcnmUg1HxH8TPeZS0QzmUiX6okWweLHfo1h45kw7l8pm07ZIVxfJfFZk1aITbub6XBcbore0JEL0wcFEFXmxmprMcoeGTHsX8V/JeqLralFZCFa/DRrWF70YtXMRt/RnIlIKHl1WlEyV6FIOeVei7/wzxCdgn7NLNiYRX9nRrOvzuTKxKMCDD5qx5vUZl6LNmXYuVghaj4bYqN8jESmdla+D6EjBL3fmKCp1JXop2rmACc63bzc/qxI9GEpWiV61GMa6ih6fSKDt/3FPFqNKdHFLlegipXDQF6BhX08XqYlFpRzymlgUoPvvsP3ako1HxHfx7CH6XKpEnyvjnG/mTDsXgNPvgqb9/R6FSOk0HwSLjyn45eVu52Lb3ofo27aZ4NarZUpxStYTvW4VdJxZ9PhEAu2+86H/n0UvRiG6uKVKdJFSWPN2zxepS4ykHPKuRK9ug2e/A3e8EU74BXT9HR77YuLx+vVw1BWw/Xp45r8T97e+BA6+2Kthi5ROTQcccGHah2x7boXo4o85084FYOef4ImvJ1rSLToCDvkKbPlfeOEniectezlsvACe+AbsvtHct+pNsPa8co9YJD+Pftl8P+hzBb28XCF6Swvs2gXj4ybc8TJEf/FF8z3DfNlSZpY1ez5nTyrR61bC0f8Dd7wBJgcS9x/5bajdB25/dWIMto2173/ByCTc914gBEdcDo3eFoWJeG7H72H1W4tejLIWcUt/JiKlcMupcOR/eVrNpUp0KYe8Q/SVb4RQFYSnZiusWQYrXpd4vGqqAXP9upn3162C0d1Q0QQRJZASYLUdsPGjaR+amDAHvnNlYlHxx5xp5wKmh+6qNyZu1+5jvjcdMHMd3rif+b7oCKhogJ774bkfKESX4BvvSuyzFCCfEL2YqsbmZvjnP00VOnhfia5WLsHhtp1LwduSjleaSaMdzvwXSet0245jW5UQqTf3P/tdc1JVIboEnSYWlTJTiC5SCr0Pmj7RHtLZUSmHvCcWrV4M69+TuF2/Gta/d/bzmg80X8l+ty8c8V/QcUYhQxUpj54H4alvwbFXz3podKp1tCrRJZs51c6l9UjzlWrREeYr1ZKTzNfYa2Bke8mHJ1K0+KQJCgvkFLVUVJS+Et2ZADQU8u5kbVMTPPWUQvQgcTuxaMHbkrX/L/39yfvr8Th0dkJlk7l/+EXof7SANxMpM4/molOILm4pkhMphRJMLKpKdCmHvHuiF6PlUOh9SCG6BNtYF+y9L/1DY+a7QnTJZk61cylUdZupboxNQLjS79GIZGZHE+2KClDOdi59fTA4CA0N3rVecSrR163zZnlSvHwq0eNx8xUq9cx2B15orjQVCbqDv5y4aq4IKlgUtzSxqEgpeHRZUbJ0E8yIeC3vdi7FaDnMhOgiQZYlcBkdNSeedIJTsolE5lA7l2Lc9FLY8Vu/RyGS3f6fhLXvKvjlySF6tpNjXk0s6uWkomBC9F27VIkeJG4nFnVul2V7Eq6G7r+bE6MiQbbhA1DdXvRiVIkubilEFymF438Jtcs9XWS6y/pEvFbeEP1QGN1RpjcTKVB8Eqz0K9/RUfVDl9wWRCU6QNOB0Puw36MQya5xg2k9V6DkEH18PPfzCuVUopciRLdt812CIZ9KdOex0rPgtrOg//FyvJlI4W56qSft5BSii1sK0UVKYZ+zIVLn6SJViS7lkHdP9GIsezmcdkeZ3kykQIsOg4O/mPah0VG1cpHcFkyI3nIY9OjqIgm4O98MT3y94Jc77RXr62F4OPPzvKhE7+uDgQHvQ3RQJXqQ5NMT3Xms5Cwr0XZRJMi674J48R+KWExZi7ijP5OFYsf1tN3zfiyngdqiI2Hz7+CZ/4FHk8KB5WfDMd+DRz4Pz34/cf/698PBF8M974Edf0jcf/AXYf374NazzORrjmO+D8tfCX86DEZ3J+7f/HtoORyu7Zg5vjMfBDsON6RMZnXOLtOL9rZXJe6r6YAzH4Dt18O970/cH5jfKQ5jnfD6HqhswQu2bVbsqkSXUitrJbplwe6/wF1vTdzXuBFO/Sts+V946JOJ+5e8DI7/KfzzMnjym4n717wNDvt3eOAC2PqLxP37fwL2/xjc8UbovD1x/+HfhNVvMlULg88m7j/+52ZyvOvXQXQkcf+pt5tev7/ff+bYX/WsmXTplpMT91U2wSuf1O80X3+nNMbGFKJLbgumnUvrkfD0f5qfn7wc/vm1xGMrz4Uj/9N8trb8b+L+/T4KB34a7no77L45cf+hXzOT4d1yCvT/M3H/sT+GZafB7w+Aid7E/SffDPVrzLoh2VmPm+fddELivnANvPp56Pwb3PGGxP31a+H0O2HrL+GBjybubzsBXvqr+fk7PfUt2h7/auL4YD78Trn+nyZ6oe2lFMoJx5ub4YUXcj+vUC0tZv9/1y6F6PNdKGT+r2070fs+WyV62U7KLjoSHviIOUHafDBcl9J3+syHwZ6EG45K3GeF4LU7oPseuP01iftrl8PL74dt18F9H0zc33o0nPRbePq/4bEvJ+7f59Vw9P/APz4Hz12ZuH/DB+Ggz8Pd74Kdf0rcf/CXzISofz1z5hVRx/wAlr8C/niIOT53bP6jfqf58jvZcYjUUqxoVJXo4o5l27bt9yBKbWBggKamJvr7+2lcoNeuxUe76N12Py0tLYSsEFTUQ9MBMLoLhrclnli1CBrWw/BWGN2TuL9mKdSthIFnZu4M1600j/U9zv/f3p1HR13eexz/TPaFEJZAhkDAUBG07KS2LArWFMtq5UoB2dFWEIWICyhWWo8YpEexQgHt4Yi34mG5BXFFYgWEghBWkVUvShASAjEba0LmuX/8boYMycAIk0wm836dMwfn+T3zm+cZ5/fNb77zneenS+XKMWJutvb14y7rp/BlYm+zKrSvvEhb/Y6SjJS3x7U97nappEgqOHC5LTjM6n8xVyr638vtNWlOIdFSvZ/LW0pKrJ+NZmVJdrvXdosA43A4lJOTo8aNGyvIzRWJdu6UfvtbKSen0s3eV5wvFR6+fD8kUqrXzjqBOvP95fawWKlua+vneudOXG6PaGR9ID9zRLpw+nJ7VFPrVnBQKim83F4nyXpM3ldS6YXL7XVbW8+Ru906GStTr511keDyX6hJUoMukuOilP/15bagYKudOdXOOVXis8+kiROlQ4cq3VxjeRIL4D1jx0o33STNmOHrkVQxY6Sz31lJznPHrVuZiDir/cx31sV6y0QlWBcEKzxsHZNl6txkrXGav1e6dP5ye91WVoHCjztdK8/qtbUugvfjDtcxNehk9cvfe7nNFmQl/IsLpMJyB29whFS/vTW+M99dbg+tK8W2qZVzcpw5prwTX1/+fFAL5uTR/6f67a39XIc2baS5c6UjR6T33pM++aTyfuPGWcf9889f19PIGOvcf9Ik62/Mhx9e336u9OGH0oABUlqaNG2ad/aJG3P8uNSsmVUwVfYn+Wc/kxYtknr1utyvuFgKD5eys6X4eO+OodLzgpIz1pdjgfL5nTn555y8lHfp3Nk6T7v33hvelV8L5M8InuaNSaIHiEA+GGqD8+elqCjp1CkpLs7Xo4G/8iQO7N4tpaRIp09XuhlAOR98ID33nLRnz7X71iScE1SvP/5RatxYevFFX48EcEUs+OnKkpsnT0qvvSZt2VJ5v1GjrIT7s89e/3N17mxVJrdqJS1dev37Ke+LL6SePaX586UJE67dH1UvK0tKSHBdurNFC2nJEqlHuR9nOBxWpeyxY1bS3ZuIBQh0HTpIL70k9evn65H4ViDHAk/zxoH1qgB+quxneyzngqpWrcu5AH6ONdHhiYBZzgUIAOWXc8nPv3a/G9Gjh/ULwZiYG9tPeSznUvOU5anKn39X9v4JCrJu/D0BvI/lXOApkuiAHyhLonOxC1S1ar2wKODnSKLDEwFzYVEgAFRnEr17d+tf1kSv3dwl0SsrnuLvCVA1SktJosMzpOQAP1BWcUAlOqoaleiA57iwKDwRGmqtZQvA/5Ulx2NiSKLDOypLopdf2qU8ftkEVI3SUgoW4Rkq0QE/QCU6qktwMEl0wFPnz0sR13dtOgQQkh5A7VFSYn0xVr++9UXqhQuV9/NGEr1ZM+vipCTRazdPl3ORqEQHqgrLucBTJNEBP3Dp0uV18ICqRCU64DmWc4EnSHoAtUdZcrMsCV1Q4L6fNxIyEydKt99+4/spExYmjRxpXbgSNcNPSaLzpSxQNVjOBZ6irhXwA+5+0gd4G0l0wHMk0eEJkuhA7VGW3AwPt+J/fr4UH+++34168skb38eV/vu/vb9PXL+yJHr5axKxJjpQvc6d49el8Ax1rYAfcHciBXgbFxYFPEcSHZ6gchCoPconx692cVFvJdFR+0VHW5/zfvzxchuV6ED1OX9eys21ltACroUkOuAHqERHdaESHfDchQtUreDaqBwEagdjLq+JLpFEh3cEBVnJu8xM635pqfVeY010oHocO2b9uqhRI1+PBP6AJDrgB6hER3UJDrZO3I3x9UiAmo9KdHiCpAdQO5QVGVCJDm9r3vxyEr2s0pxKdKB6ZGZKiYlcfw6e4W0C+IHyVS9AVSo7eSCJDlwbSXR4ol496fRpX48CwI26MrlJEh3e0ry5VQ0rXX6fsSY6UD2OHbOS6IAnSKIDfoDlXFBdypLoLOkCXBtJdHiiY0dpzx7iKuDvrkyi168v5eW59rlwQRo40Drmf/az6h0f/BeV6IDvZGZaxyDgCZLogB9gORdUl7IkOhcXBa7t/HnWRMe13Xab9V45csTXIwFwI8oqgK+2JvrHH0tffy19/731BRrgifJJ9LL3mbskOpXogHeRRMdPQRId8ANUoqO6UIkOeO7CBSrRcW1hYVK7dtKuXb4eCYAb4clyLitWSEOHSk2aVOfI4O8SEz2rRA8NpRId8DaS6Pgp/CaJPn/+fCUlJSkiIkJdunTRxo0bfT0koNpQiY7qEhxs/UsSHbg2lnOBpzp1knbu9PUoANyIayXRz5+XPvhAGjy4ukcGf1e2JroxLOcCVDeS6Pgp/CKJvmzZMqWmpmr69OnatWuX7rjjDvXp00eZZV/XArUcleioLlSiA54jiQ5Pde5MJTrg766VRF+xQrLbWcYFP11ionTmjPV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+      "text/plain": [
+       "<Figure size 1500x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Visualization: Actual vs Predicted\n",
+    "plt.figure(figsize=(15, 6))\n",
+    "plt.plot(y_test.values[:1000], label=\"Actual\", color='blue', linewidth=0.8)\n",
+    "plt.plot(y_pred[:1000], label=\"Predicted\", color='orange', linestyle='--', linewidth=0.8)\n",
+    "plt.title('Actual vs Predicted Power Generation', fontsize=16)\n",
+    "plt.xlabel('Sample Index', fontsize=12)\n",
+    "plt.ylabel('Power (MW)', fontsize=12)\n",
+    "plt.legend()\n",
+    "plt.grid(alpha=0.3)\n",
+    "plt.tight_layout()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b9188561-e7ce-477f-ace7-c91d0c035598",
+   "metadata": {},
+   "source": [
+    "This yeilded a much better result than all the other models, with a low RMSE and MAE for a time series data with high seasonality. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 185,
+   "id": "29f802f4-1de0-4430-94ff-39b11946ae9d",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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5m266aTp37pxhw4ZVXyKcJH379s13vvOdLFq0KHvssUe23HLLfOlLX8qmm26aJ554IqNGjVrhsSoqKnLQQQclSXbcccf0798/VVVVqaqqqh6z7bbb5phjjsnixYuzzz77ZPPNN6/e98yZM1f6VVlr4rjjjsupp56ad955JwceeGDatWuXAQMGpG/fvmnbtm223377nHfeeSt8mNjnzdlnn53f/OY36dSpUwYMGJBOnTpl5MiRqVevXi655JLlvqbs7LPPzq677poZM2Zkxx13TK9evbLDDjtk6623zvPPP58+ffrkf/7nf2pVyyGHHJIk+dWvfpWtt946gwYNSlVVVW6//fYkyfe///1svvnmmTx5crbZZpv07t0722yzTQYMGJBWrVp9qt/pivTr1y+XX355GjZsmJEjR6Z9+/bp27dvevbsmZYtW+bQQw+tcZtCixYt8o9//CObbbZZrrvuunTp0iU9e/bMV77ylWy99dZp3bp1DjnkkDz00EPrtE6ADYHQDQBr4IADDsjzzz+fE088Md27d8+LL76Y559/Ps2aNcsBBxyQK6+8crkHYF177bX5xS9+ke7du+e1117Lm2++me985zuZMGFC+vTps9JjXXjhhTnxxBPTsWPHPPXUUxk/fvxyK6QXX3xxzjrrrGyxxRaZMWNG3n777fzgBz/Iww8/vFZPpV6RkSNH5sEHH8zhhx+e5s2b56mnnsrUqVPTpUuXDB06NP/4xz+y++67f6pjfBYOPfTQ3HbbbenVq1deeOGFzJ8/P7vttlvGjh2bQw89dLnxTZs2zR133JELL7ww/fr1y2uvvZaXXnopPXv2zDnnnJOHHnoobdu2rVUtO++8c/70pz9lwIABmTFjRu67776MHz8+b775ZpKPV9ofeOCBHHnkkWnZsmVefPHFLFy4MCeddFIefvjhUh7e9h//8R+ZOHFijj766LRr1y7PPvts3n777fTq1SsjRozI17/+9Rrjt9lmmzz11FMZNWpU+vfvnxkzZmTixIlZuHBhBg0alN/85jcZM2bMOq8TYH1XUbgxBwDYgCz7I8eUKVPSvXv3ui4HgC84K90AAABQEqEbAAAASiJ0AwAAQEmEbgAAACiJB6kBAABASax0AwAAQEka1HUB1L2lS5fmX//6VyorK1NRUVHX5QAAAHzuFUWRDz/8MJ07d069eitfzxa6yb/+9a907dq1rssAAABY70yfPj1dunRZab/QTSorK5N8PFlatmxZx9UAAAB8/s2ePTtdu3atzlMrI3RTfUl5y5YthW4AAIC1sLpbdD1IDQAAAEoidAMAAEBJhG4AAAAoidANAAAAJRG6AQAAoCRCNwAAAJRE6AYAAICSCN0AAABQEqEbAAAASiJ0AwAAQEmEbgAAACiJ0A0AAAAlEboBAACgJEI3AAAAlEToBgAAgJII3QAAAFASoRsAAABKInQDAABASYRuAAAAKInQDQAAACVpUNcF8Plx8F/+kobNmtV1GaX5v8MOq+sSAACALxgr3QAAAFASoRsAAABKInQDAABASYRuAAAAKInQDQAAACURugEAAKAkQjcAAACUROgGAACAkgjdAAAAUBKhGwAAAEoidAMAAEBJhG4AAAAoidANAAAAJRG6AQAAoCRCNwAAAJRE6AYAAICSCN0AAABQEqEbAAAASiJ0AwAAQEmEbgAAACiJ0A0AAAAlEboBAACgJEI3AAAAlEToBgAAgJII3QAAAFASoRsAAABKInQDAABASYRuAAAAKInQDQAAACURugEAAKAkQjcAAACUROgGAACAkgjdAAAAUBKhGwAAAEoidAMAAEBJhG4AAAAoidANAAAAJRG6AQAAoCRCNwAAAJRE6AYAAICSCN0AAABQkvU2dFdVVWXYsGHrzX7/3YgRI7LDDjuUfhwAAADqznobum+44YacffbZdV3GGqmoqMhNN91Uo+2nP/1p7rnnnropCAAAgM9Eg7ouoLbatGlT1yV8Ki1atEiLFi3qugwAAABKtN6udH/yMvDf//732XLLLdOkSZN06NAh3/nOd9ZoHx999FGOPPLItGjRIp06dcr555+/3Jhrrrkm/fr1S2VlZTp27JjDDz88M2fOTJIURZEePXrkN7/5TY1tnn322dSrVy+TJ09O9+7dkyQHHHBAKioqqt//++XlQ4YMybe+9a2ce+656dChQ1q3bp0zzzwzixcvzsknn5w2bdqkS5cuufzyy2sca8aMGTnkkEOy0UYbpW3bttl///0zderUNTp/AAAAyrXehu5lHnvssfz4xz/OWWedlRdffDG33357dtlllzXa9uSTT87YsWNz44035s4778y4cePy+OOP1xizcOHCnH322Xnqqady0003ZcqUKRkyZEiSjy8bHzp0aK644ooa21x++eXZeeeds8UWW2TChAlJkiuuuCJvvPFG9fsVuffee/Ovf/0r9913Xy644IKMGDEi++67bzbaaKP885//zLHHHptjjz0206dPT5LMnTs3u+66a1q0aJH77rsvDzzwQFq0aJGvf/3rWbhw4Zp+hAAAAJRkvb28fJlp06alefPm2XfffVNZWZlu3brlS1/60mq3mzNnTi677LJcddVV2WOPPZIkV155Zbp06VJj3NChQ6t/3nzzzXPRRRdlwIABmTNnTlq0aJGjjz46Z5xxRh599NEMGDAgixYtyjXXXJNf//rXSZL27dsnSVq3bp2OHTuusqY2bdrkoosuSr169bL11lvnvPPOy9y5c3P66acnSU477bSMGjUqDz74YA499NCMGTMm9erVy6WXXpqKiookH4f71q1bZ9y4cdlzzz1XeJwFCxZkwYIF1e9nz5692s8LAACAtbfer3Tvscce6datWzbffPN897vfzbXXXpu5c+eudrvJkydn4cKFGThwYHVbmzZtsvXWW9cY9+STT2b//fdPt27dUllZmaqqqiQfh/0k6dSpU/bZZ5/qy75vueWWzJ8/PwcddNBan0uvXr1Sr97/+5V06NAh22+/ffX7+vXrp23bttWXtz/++ON55ZVXUllZWX2PeJs2bTJ//vxMnjx5pccZOXJkWrVqVf3q2rXrWtcKAADA6q33obuysjJPPPFErrvuunTq1ClnnHFG+vTpkw8++GCV2xVFsdp9f/TRR9lzzz3TokWLXHPNNZkwYUJuvPHGJKlx+fb3vve9jBkzJvPmzcsVV1yRQw45JM2aNVvrc2nYsGGN9xUVFStsW7p0aZJk6dKl6du3byZOnFjj9dJLL+Xwww9f6XFOO+20zJo1q/q17HJ1AAAA1q31/vLyJGnQoEEGDx6cwYMHZ/jw4WndunXuvffeHHjggSvdpkePHmnYsGEeeeSRbLrppkmS999/Py+99FIGDRqUJHnhhRfyzjvvZNSoUdWrwY899thy+9p7773TvHnz/OEPf8htt92W++67r0Z/w4YNs2TJknV1utV23HHHXH/99dl4443TsmXLNd6ucePGady48TqvBwAAgJrW+5XuW265JRdddFEmTpyY1157LVdddVWWLl263GXi/65FixY55phjcvLJJ+eee+7Js88+myFDhtS4vHvTTTdNo0aN8tvf/javvvpqbr755hV+N3j9+vUzZMiQnHbaaenRo0eNS9aTpHv37rnnnnvy5ptv5v333183J57kiCOOSLt27bL//vvn/vvvz5QpUzJ+/PiceOKJef3119fZcQAAAKid9T50t27dOjfccEN22223bLvttrn44otz3XXXpVevXqvd9te//nV22WWX7Lfffhk8eHB22mmn9O3bt7q/ffv2GT16dP7yl7+kZ8+eGTVq1HJfD7bMMccck4ULF9Z48Noy559/fu6666507dp1jR7ytqaaNWuW++67L5tuumkOPPDAbLvtthk6dGjmzZu3VivfAAAAlKOiWJObm1mtBx98MFVVVXn99dfToUOHui5nrcyePTutWrXKXpdemoa1uBd9ffF/hx1W1yUAAAAbiGU5atasWatc9Nwg7umuSwsWLMj06dPzi1/8IgcffPB6F7gBAAAoz3p/efnKTJs2rfprtFb0WvaVX5/Wddddl6233jqzZs3Keeedt072CQAAwIZhg13p7ty5cyZOnLjK/nVhyJAhGTJkyDrZFwAAABuWDTZ0N2jQID169KjrMgAAAPgC22AvLwcAAIC6JnQDAABASYRuAAAAKInQDQAAACURugEAAKAkQjcAAACUROgGAACAkgjdAAAAUBKhGwAAAEoidAMAAEBJhG4AAAAoidANAAAAJRG6AQAAoCRCNwAAAJRE6AYAAICSCN0AAABQEqEbAAAASiJ0AwAAQEmEbgAAACiJ0A0AAAAlEboBAACgJEI3AAAAlEToBgAAgJII3QAAAFASoRsAAABKInQDAABASYRuAAAAKInQDQAAACURugEAAKAkQjcAAACUROgGAACAkgjdAAAAUBKhGwAAAEoidAMAAEBJhG4AAAAoidANAAAAJRG6AQAAoCRCNwAAAJSkQV0XwOfHnw86KC1btqzrMgAAADYYVroBAACgJEI3AAAAlEToBgAAgJII3QAAAFASoRsAAABKInQDAABASYRuAAAAKInQDQAAACURugEAAKAkQjcAAACUROgGAACAkgjdAAAAUBKhGwAAAEoidAMAAEBJhG4AAAAoidANAAAAJRG6AQAAoCRCNwAAAJRE6AYAAICSCN0AAABQEqEbAAAASiJ0AwAAQEmEbgAAAChJg7ougM+Pg//ylzRs1qyuywAAAEiS/N9hh9V1CZ+alW4AAAAoidANAAAAJRG6AQAAoCRCNwAAAJRE6AYAAICSCN0AAABQEqEbAAAASiJ0AwAAQEmEbgAAACiJ0A0AAAAlEboBAACgJEI3AAAAlEToBgAAgJII3QAAAFASoRsAAABKInQDAABASYRuAAAAKInQDQAAACURugEAAKAkQjcAAACUROgGAACAkgjdAAAAUBKhGwAAAEoidAMAAEBJhG4AAAAoidANAAAAJRG6AQAAoCRCNwAAAJRE6AYAAICSCN0AAABQEqEbAAAASiJ0AwAAQEmEbgAAACiJ0A0AAAAlEboBAACgJEI3AAAAlEToBgAAgJII3QAAAFASoRsAAABKInQDAABASYRuAAAAKInQvZ4bMWJEdthhh7ouAwAAgBUQutcjFRUVuemmm+q6DAAAANaQ0A0AAAAlEbproaqqKieccEKGDRuWjTbaKB06dMgll1ySjz76KEcffXQqKyuzxRZb5LbbbqveZvz48RkwYEAaN26cTp065dRTT83ixYtr7PPHP/5xTjnllLRp0yYdO3bMiBEjqvu7d++eJDnggANSUVFR/X6Zq6++Ot27d0+rVq1y6KGH5sMPPyzzIwAAAGANCN21dOWVV6Zdu3Z59NFHc8IJJ+S4447LQQcdlK9+9at54oknstdee+W73/1u5s6dmxkzZmTvvfdO//7989RTT+UPf/hDLrvsspxzzjnL7bN58+b55z//mfPOOy9nnXVW7rrrriTJhAkTkiRXXHFF3njjjer3STJ58uTcdNNNueWWW3LLLbdk/PjxGTVq1EprX7BgQWbPnl3jBQAAwLondNdSnz598vOf/zxbbrllTjvttDRt2jTt2rXLf/7nf2bLLbfMGWeckXfffTdPP/10fv/736dr16753e9+l2222Sbf+ta3cuaZZ+b888/P0qVLq/fZu3fvDB8+PFtuuWWOPPLI9OvXL/fcc0+SpH379kmS1q1bp2PHjtXvk2Tp0qUZPXp0tttuu+y888757ne/W73diowcOTKtWrWqfnXt2rWkTwkAAOCLTeiupd69e1f/XL9+/bRt2zbbb799dVuHDh2SJDNnzsykSZMycODAVFRUVPd/7Wtfy5w5c/L666+vcJ9J0qlTp8ycOXO1tXTv3j2VlZVrvN1pp52WWbNmVb+mT5++2mMAAACw9hrUdQHrq4YNG9Z4X1FRUaNtWcBeunRpiqKoEbiTpCiKGuNWts9ProSvTS2r2q5x48Zp3LjxavcLAADAp2Ol+zPQs2fPPPTQQ9VBO0keeuihVFZWZpNNNlnj/TRs2DBLliwpo0QAAABKIHR/Bn74wx9m+vTpOeGEE/LCCy/k73//e4YPH56TTjop9eqt+a+ge/fuueeee/Lmm2/m/fffL7FiAAAA1gWh+zOwySab5NZbb82jjz6aPn365Nhjj80xxxyTn//852u1n/PPPz933XVXunbtmi996UslVQsAAMC6UlF88ppnvpBmz56dVq1aZa9LL03DZs3quhwAAIAkyf8ddlhdl7BSy3LUrFmz0rJly5WOs9INAAAAJRG6AQAAoCRCNwAAAJRE6AYAAICSCN0AAABQEqEbAAAASiJ0AwAAQEmEbgAAACiJ0A0AAAAlEboBAACgJEI3AAAAlEToBgAAgJII3QAAAFASoRsAAABKInQDAABASYRuAAAAKInQDQAAACURugEAAKAkQjcAAACUROgGAACAkgjdAAAAUJJah+577703f/nLX6rfv/XWW9l7773TsWPHHHnkkZk/f/46KRAAAADWV7UO3WeccUaef/756vennHJK7r///nz1q1/NX//61/z6179eJwUCAADA+qrWofull17KjjvumCRZvHhxbrzxxvzqV7/KDTfckLPOOivXXXfdOisSAAAA1ke1Dt2zZ89O69atkySPP/54Pvroo+y3335JkgEDBmTatGnrpEAAAABYX9U6dG+88cZ5+eWXkyR33313unXrli5duiRJPvzwwzRs2HDdVAgAAADrqQa13fDrX/96Tj/99Dz33HMZPXp0jjrqqOq+F154Id27d18X9QEAAMB6q9ah+9xzz820adPyxz/+MQMGDMjPf/7z6r4//elP+epXv7pOCgQAAID1Va1Dd7t27XL77bevsG/s2LFp0qRJrYsCAACADUGt7+n+pHnz5mXGjBlZvHhxkqRly5Zp1KjRutg1AAAArLc+VegeO3ZsBg4cmMrKynTr1i1PP/10kuRHP/pRbrjhhnVSIAAAAKyvah2677333uy5556ZP39+fvrTn2bp0qXVfe3atcvo0aPXRX0AAACw3qp16D7jjDOy995758knn8w555xTo69Pnz6ZOHHip60NAAAA1mu1fpDak08+mb/85S9JkoqKihp97du3z8yZMz9dZQAAALCeq/VKd4MGDbJo0aIV9s2cOTOVlZW1LgoAAAA2BLUO3f3798/VV1+9wr6//vWvGThwYK2LAgAAgA1BrS8vP/XUU7PXXnvlgAMOyJFHHpmKior885//zOWXX56//vWvGTt27LqsEwAAANY7tQ7dgwcPzpVXXplhw4bl73//e5KPvyqsdevWGT16dHbaaad1ViQAAACsj2oVupcsWZLJkydn3333zbe//e089NBDeeutt9KuXbt87WtfS/Pmzdd1nQAAALDeqVXoLooiPXv2zP/93//lG9/4Rnbfffd1XRcAAACs92r1ILUGDRqkY8eOWbp06bquBwAAADYYFUVRFLXZ8Kc//WmmT5+e66+/fl3XxGds9uzZadWqVWbNmpWWLVvWdTkAAACfe2uao2r9ILUddtgh119/fXbbbbcceOCB6dSpUyoqKmqMOfDAA2u7ewAAAFjv1Xqlu169VV+ZXlFRkSVLltSqKD5bVroBAADWTukr3b6HGwAAAFat1qF70KBB67IOAAAA2ODU6unlAAAAwOrVeqV7t912W2V/RUVF7rnnntruHgAAANZ7tQ7dS5cuXe5p5e+8805efPHFbLzxxtlqq60+dXEAAACwPqt16B43btwK21966aXsv//+GT58eG13DQAAABuEdX5P91ZbbZWTTz45p5xyyrreNQAAAKxXSnmQWvfu3fPss8+WsWsAAABYb5QSuv/2t7+lc+fOZewaAAAA1hu1vqd76NChy7UtWLAgTz/9dJ5//vmcd955n6owAAAAWN/VOnTfe++9yz29vEmTJunevXtOO+20HH744Z+6OAAAAFif1Tp0T506dR2WAQAAABueWt/TfdVVV+Xdd99dYd97772Xq666qtZFAQAAwIag1qH76KOPzuTJk1fYN2XKlBx99NG1LgoAAAA2BLUO3UVRrLRv/vz5qV+/fm13DQAAABuEtbqne9q0aTXu5X7yySczf/78GmPmzZuXSy65JJtuuuk6KRAAAADWV2sVuq+44oqceeaZqaioSEVFRX74wx8uN2bZCviFF164bioEAACA9dRahe6DDz442223XYqiyMEHH5xzzz03W265ZY0xjRs3znbbbZfu3buvyzoBAABgvbNWoXvbbbfNtttum+TjVe999903bdu2LaUwAAAAWN/V+nu6jzrqqHVZBwAAAGxwah26k4+/j/tPf/pTJk2alHnz5tXoq6ioyGWXXfapigMAAID1Wa1D97Rp09K/f//MnTs3c+fOTbt27fLee+9lyZIl2WijjdKqVat1WSefgYP/8pc0bNasrssAoI7932GH1XUJALDBqPX3dJ966qnp1atX3nrrrRRFkdtuuy0fffRRfvvb36ZJkyb5xz/+sS7rBAAAgPVOrUP3ww8/nOOOOy5NmjRJ8vFXhTVq1Cg/+tGPcswxx+Tkk09eZ0UCAADA+qjWofutt95Kp06dUq9evdSvXz+zZ8+u7hs0aFAeeOCBdVIgAAAArK9qHbo7dOiQ9957L0nSvXv3PPbYY9V9U6dOTYMGn+oZbQAAALDeq3Uy/spXvpInn3wy++23Xw488MCcddZZWbBgQRo1apRf//rX2W233dZlnQAAALDeqXXo/ulPf5qpU6cmSc4444xMmjQpw4cPT1EU2WWXXXLhhReuqxoBAABgvVTr0N23b9/07ds3SdK8efPcfPPNmT17dioqKlJZWbnOCgQAAID11Tq98bply5brcncAAACwXqv1g9SS5IUXXshhhx2WTp06pVGjRnniiSeSJGeeeWbGjh27TgoEAACA9VWtQ/fEiRPTv3//jB8/PlVVVVmyZEl135w5c3LxxRevkwIBAABgfVXr0H3qqaemd+/eeeWVV3L11VenKIrqvgEDBmTChAnrpEAAAABYX9X6nu4HH3ww11xzTZo1a1ZjlTv5+Du833zzzU9dHAAAAKzPar3SXRRFGjVqtMK+999/P40bN651UQAAALAhqHXo7t27d2688cYV9t1+++3VXycGAAAAX1S1vrz8xBNPzOGHH57mzZvnu9/9bpJk2rRpuffee3P55Zfnr3/96zorEgAAANZHtQ7dhxxySCZPnpwRI0bkoosuSpJ8+9vfToMGDXLmmWfmm9/85jorEgAAANZHaxW6TznllPz4xz9Oly5dkiSnn356jjzyyNxxxx1566230q5du+y1117p1q1bKcUCAADA+mStQvf555+f73znO9Whe8mSJenWrVsmTJiQHXfcsZQCAQAAYH21Vg9S++R3ca+qDQAAAPgUTy8HAAAAVk3oBgAAgJKs9dPLX3zxxTRo8PFmS5YsSZK88MILKxzrPm8AAAC+yNY6dA8ZMmS5tmXf071MURSpqKioDuUAAADwRbRWofuKK64oqw4AAADY4KxV6D7qqKPKqgMAAAA2OB6kBgAAACURugEAAKAkQjcAAACUROgGAACAkgjdAAAAUBKhGwAAAEoidAMAAEBJhG4AAAAoidANAAAAJRG6AQAAoCRCNwAAAJRE6AYAAICSCN0AAABQEqEbAAAASiJ0AwAAQEmEbgAAACjJ5zJ0V1VVZdiwYXVdRrVLLrkkXbt2Tb169fLf//3fdV1ODVOnTk1FRUUmTpxY16UAAADwbxrUdQGfd7Nnz87xxx+fCy64IN/+9rfTqlWrui4JAACA9YTQvRrTpk3LokWLss8++6RTp051XQ4AAADrkTq/vPyjjz7KkUcemRYtWqRTp045//zza/Rfc8016devXyorK9OxY8ccfvjhmTlzZpKkKIr06NEjv/nNb2ps8+yzz6ZevXqZPHnyao8/bdq07L///mnRokVatmyZgw8+OG+99VaSZPTo0dl+++2TJJtvvnkqKioyderUle5r1qxZqV+/fh5//PHq+tq0aZP+/ftXj7nuuutqhPcZM2bkkEMOyUYbbZS2bdtm//33X+4YV1xxRbbddts0adIk22yzTX7/+9+vtIalS5fmP//zP7PVVlvltddeW+35AwAAUJ46D90nn3xyxo4dmxtvvDF33nlnxo0bVx1ak2ThwoU5++yz89RTT+Wmm27KlClTMmTIkCRJRUVFhg4dmiuuuKLGPi+//PLsvPPO2WKLLVZ57KIo8q1vfSvvvfdexo8fn7vuuiuTJ0/OIYcckiQ55JBDcvfddydJHn300bzxxhvp2rXrSvfXqlWr7LDDDhk3blyS5Omnn67+5+zZs5Mk48aNy6BBg5Ikc+fOza677poWLVrkvvvuywMPPJAWLVrk61//ehYuXJgk+eMf/5if/exn+eUvf5lJkybl3HPPzS9+8YtceeWVyx1/4cKFOfjgg/PYY4/lgQceSLdu3VZ5/gAAAJSrTi8vnzNnTi677LJcddVV2WOPPZIkV155Zbp06VI9ZujQodU/b7755rnooosyYMCAzJkzJy1atMjRRx+dM844I48++mgGDBiQRYsW5Zprrsmvf/3r1R7/7rvvztNPP50pU6ZUh+mrr746vXr1yoQJE9K/f/+0bds2SdK+fft07NhxtfusqqrKuHHj8pOf/CTjxo3L7rvvnldffTUPPPBA9t5774wbNy7/3//3/yVJxowZk3r16uXSSy9NRUVFko9XtVu3bp1x48Zlzz33zNlnn53zzz8/Bx54YJJks802y/PPP5///d//zVFHHVXjs9xnn30yb968jBs3bpX3ni9YsCALFiyofr/sDwIAAACsW3W60j158uQsXLgwAwcOrG5r06ZNtt566+r3Tz75ZPbff/9069YtlZWVqaqqSvLxZeFJ0qlTp+yzzz65/PLLkyS33HJL5s+fn4MOOmi1x580aVK6du1aY/W6Z8+ead26dSZNmlSrc6qqqsr999+fpUuXZvz48amqqkpVVVXGjx+fN998My+99FL1Svfjjz+eV155JZWVlWnRokVatGiRNm3aZP78+Zk8eXLefvvtTJ8+Pcccc0x1f4sWLXLOOecsd+n8YYcdljlz5uTOO+9c7cPeRo4cmVatWlW/VrV6DwAAQO3VaeguimKV/R999FH23HPPtGjRItdcc00mTJiQG2+8MUmqL79Oku9973sZM2ZM5s2blyuuuCKHHHJImjVrtkbHX7bCvCbta2KXXXbJhx9+mCeeeCL3339/qqqqMmjQoIwfPz5jx47NxhtvnG233TbJx/df9+3bNxMnTqzxeumll3L44Ydn6dKlST6+xPyT/c8++2weeeSRGsfde++98/TTTy/XviKnnXZaZs2aVf2aPn16rc4VAACAVavTy8t79OiRhg0b5pFHHsmmm26aJHn//ferV4NfeOGFvPPOOxk1alT1auxjjz223H723nvvNG/ePH/4wx9y22235b777luj4/fs2TPTpk3L9OnTq/f//PPPZ9asWdXBeG0tu6/7d7/7XSoqKtKzZ8907tw5Tz75ZG655ZbqVe4k2XHHHXP99ddn4403TsuWLVe4r0022SSvvvpqjjjiiFUe97jjjst2222X/fbbL//4xz9qHOffNW7cOI0bN67V+QEAALDm6nSlu0WLFjnmmGNy8skn55577smzzz6bIUOGpF69j8vadNNN06hRo/z2t7/Nq6++mptvvjlnn332cvupX79+hgwZktNOOy09evSocbn6qgwePDi9e/fOEUcckSeeeCKPPvpojjzyyAwaNCj9+vWr9XlVVVXlmmuuyaBBg1JRUZGNNtooPXv2zPXXX199eXySHHHEEWnXrl3233//3H///ZkyZUrGjx+fE088Ma+//nqSZMSIERk5cmQuvPDCvPTSS3nmmWdyxRVX5IILLljuuCeccELOOeec7LvvvnnggQdqXT8AAADrRp0/vfzXv/51dtlll+y3334ZPHhwdtppp/Tt2zfJxw8vGz16dP7yl7+kZ8+eGTVq1HJfD7bMMccck4ULF9Z48NrqVFRU5KabbspGG22UXXbZJYMHD87mm2+e66+//lOd06677polS5bUCNiDBg3KkiVLaqxAN2vWLPfdd1823XTTHHjggdl2220zdOjQzJs3r3rl+3vf+14uvfTS6q8vGzRoUEaPHp3NNttshcceNmxYzjzzzOy999556KGHPtV5AAAA8OlUFKu7sXo98eCDD6aqqiqvv/56OnToUNflrFdmz56dVq1aZa9LL03DNbgXHoAN2/8ddlhdlwAAn3vLctSsWbNWeLvwMnV6T/e6sGDBgkyfPj2/+MUvcvDBBwvcAAAAfG7U+eXln9Z1112XrbfeOrNmzcp5551Xo+/aa6+t8VVbn3z16tWrVsfr1avXSvd57bXXrotTAgAAYAOxwVxeviIffvhh3nrrrRX2NWzYMN26dVvrfb722mtZtGjRCvs6dOiQysrKtd5nXXN5OQCf5PJyAFi9L8zl5atSWVm5zkNwbYI6AAAAX0zr/eXlAAAA8HkldAMAAEBJhG4AAAAoidANAAAAJRG6AQAAoCRCNwAAAJRE6AYAAICSCN0AAABQEqEbAAAASiJ0AwAAQEmEbgAAACiJ0A0AAAAlEboBAACgJEI3AAAAlEToBgAAgJII3QAAAFASoRsAAABKInQDAABASYRuAAAAKInQDQAAACURugEAAKAkQjcAAACUROgGAACAkgjdAAAAUBKhGwAAAEoidAMAAEBJhG4AAAAoidANAAAAJRG6AQAAoCRCNwAAAJRE6AYAAICSCN0AAABQEqEbAAAASiJ0AwAAQEmEbgAAACiJ0A0AAAAlEboBAACgJEI3AAAAlKRBXRfA58efDzooLVu2rOsyAAAANhhWugEAAKAkQjcAAACUROgGAACAkgjdAAAAUBKhGwAAAEoidAMAAEBJhG4AAAAoidANAAAAJRG6AQAAoCRCNwAAAJRE6AYAAICSCN0AAABQEqEbAAAASiJ0AwAAQEmEbgAAACiJ0A0AAAAlEboBAACgJEI3AAAAlEToBgAAgJII3QAAAFASoRsAAABKInQDAABASRrUdQF8fhz8l7+kYbNmdV0GAHzm/u+ww+q6BAA2UFa6AQAAoCRCNwAAAJRE6AYAAICSCN0AAABQEqEbAAAASiJ0AwAAQEmEbgAAACiJ0A0AAAAlEboBAACgJEI3AAAAlEToBgAAgJII3QAAAFASoRsAAABKInQDAABASYRuAAAAKInQDQAAACURugEAAKAkQjcAAACUROgGAACAkgjdAAAAUBKhGwAAAEoidAMAAEBJhG4AAAAoidANAAAAJRG6AQAAoCRCNwAAAJRE6AYAAICSCN0AAABQEqEbAAAASiJ0AwAAQEmEbgAAACiJ0A0AAAAlEboBAACgJEI3AAAAlEToBgAAgJII3QAAAFASoRsAAABKInQDAABASYRuAAAAKInQDQAAACURugEAAKAkQjcAAACUROj+jFRVVWXYsGF1XQYAAACfIaEbAAAASiJ0b8AWLlxY1yUAAAB8oQndn6GlS5fmlFNOSZs2bdKxY8eMGDGium/atGnZf//906JFi7Rs2TIHH3xw3nrrrer+IUOG5Fvf+laN/Q0bNixVVVXV76uqqnL88cfnpJNOSrt27bLHHnuUfEYAAACsitD9GbryyivTvHnz/POf/8x5552Xs846K3fddVeKosi3vvWtvPfeexk/fnzuuuuuTJ48OYccckitjtGgQYM8+OCD+d///d8VjlmwYEFmz55d4wUAAMC616CuC/gi6d27d4YPH54k2XLLLfO73/0u99xzT5Lk6aefzpQpU9K1a9ckydVXX51evXplwoQJ6d+//xofo0ePHjnvvPNWOWbkyJE588wza3kWAAAArCkr3Z+h3r1713jfqVOnzJw5M5MmTUrXrl2rA3eS9OzZM61bt86kSZPW6hj9+vVb7ZjTTjsts2bNqn5Nnz59rY4BAADAmrHS/Rlq2LBhjfcVFRVZunRpiqJIRUXFcuM/2V6vXr0URVGjf9GiRctt07x589XW0bhx4zRu3HhtSgcAAKAWrHR/DvTs2TPTpk2rseL8/PPPZ9asWdl2222TJO3bt88bb7xRY7uJEyd+lmUCAACwloTuz4HBgwend+/eOeKII/LEE0/k0UcfzZFHHplBgwZVXy6+22675bHHHstVV12Vl19+OcOHD8+zzz5bx5UDAACwKkL350BFRUVuuummbLTRRtlll10yePDgbL755rn++uurx+y11175xS9+kVNOOSX9+/fPhx9+mCOPPLIOqwYAAGB1Kop/v1GYL5zZs2enVatW2evSS9OwWbO6LgcAPnP/d9hhdV0CAOuZZTlq1qxZadmy5UrHWekGAACAkgjdAAAAUBKhGwAAAEoidAMAAEBJhG4AAAAoidANAAAAJRG6AQAAoCRCNwAAAJRE6AYAAICSCN0AAABQEqEbAAAASiJ0AwAAQEmEbgAAACiJ0A0AAAAlEboBAACgJEI3AAAAlEToBgAAgJII3QAAAFASoRsAAABKInQDAABASYRuAAAAKInQDQAAACURugEAAKAkQjcAAACUROgGAACAkgjdAAAAUBKhGwAAAEoidAMAAEBJhG4AAAAoidANAAAAJRG6AQAAoCRCNwAAAJRE6AYAAICSCN0AAABQEqEbAAAASiJ0AwAAQEmEbgAAACiJ0A0AAAAlEboBAACgJEI3AAAAlEToBgAAgJI0qOsC+Pz480EHpWXLlnVdBgAAwAbDSjcAAACUROgGAACAkgjdAAAAUBKhGwAAAEoidAMAAEBJhG4AAAAoidANAAAAJRG6AQAAoCRCNwAAAJRE6AYAAICSCN0AAABQEqEbAAAASiJ0AwAAQEmEbgAAACiJ0A0AAAAlEboBAACgJEI3AAAAlEToBgAAgJII3QAAAFASoRsAAABKInQDAABASRrUdQHUvaIokiSzZ8+u40oAAADWD8vy07I8tTJCN3n33XeTJF27dq3jSgAAANYvH374YVq1arXSfqGbtGnTJkkybdq0VU4WWBuzZ89O165dM3369LRs2bKuy2EDYE5RBvOKMphXrGvm1OdTURT58MMP07lz51WOE7pJvXof39rfqlUr/yNmnWvZsqV5xTplTlEG84oymFesa+bU58+aLFp6kBoAAACUROgGAACAkgjdpHHjxhk+fHgaN25c16WwATGvWNfMKcpgXlEG84p1zZxav1UUq3u+OQAAAFArVroBAACgJEI3AAAAlEToBgAAgJII3V9wv//977PZZpulSZMm6du3b+6///66LonPsfvuuy/f/OY307lz51RUVOSmm26q0V8URUaMGJHOnTunadOmqaqqynPPPVdjzIIFC3LCCSekXbt2ad68efbbb7+8/vrrn+FZ8HkycuTI9O/fP5WVldl4443zrW99Ky+++GKNMeYVa+sPf/hDevfuXf19tgMHDsxtt91W3W9O8WmNHDkyFRUVGTZsWHWbecXaGjFiRCoqKmq8OnbsWN1vTm04hO4vsOuvvz7Dhg3Lz372szz55JPZeeed841vfCPTpk2r69L4nProo4/Sp0+f/O53v1th/3nnnZcLLrggv/vd7zJhwoR07Ngxe+yxRz788MPqMcOGDcuNN96YMWPG5IEHHsicOXOy7777ZsmSJZ/VafA5Mn78+PzoRz/KI488krvuuiuLFy/OnnvumY8++qh6jHnF2urSpUtGjRqVxx57LI899lh222237L///tX/sWpO8WlMmDAhl1xySXr37l2j3byiNnr16pU33nij+vXMM89U95lTG5CCL6wBAwYUxx57bI22bbbZpjj11FPrqCLWJ0mKG2+8sfr90qVLi44dOxajRo2qbps/f37RqlWr4uKLLy6Koig++OCDomHDhsWYMWOqx8yYMaOoV69ecfvtt39mtfP5NXPmzCJJMX78+KIozCvWnY022qi49NJLzSk+lQ8//LDYcssti7vuuqsYNGhQceKJJxZF4d9V1M7w4cOLPn36rLDPnNqwWOn+glq4cGEef/zx7LnnnjXa99xzzzz00EN1VBXrsylTpuTNN9+sMacaN26cQYMGVc+pxx9/PIsWLaoxpnPnztluu+3MO5Iks2bNSpK0adMmiXnFp7dkyZKMGTMmH330UQYOHGhO8an86Ec/yj777JPBgwfXaDevqK2XX345nTt3zmabbZZDDz00r776ahJzakPToK4LoG688847WbJkSTp06FCjvUOHDnnzzTfrqCrWZ8vmzYrm1GuvvVY9plGjRtloo42WG2PeURRFTjrppOy0007ZbrvtkphX1N4zzzyTgQMHZv78+WnRokVuvPHG9OzZs/o/RM0p1taYMWPyxBNPZMKECcv1+XcVtfHlL385V111Vbbaaqu89dZbOeecc/LVr341zz33nDm1gRG6v+AqKipqvC+KYrk2WBu1mVPmHUly/PHH5+mnn84DDzywXJ95xdraeuutM3HixHzwwQf529/+lqOOOirjx4+v7jenWBvTp0/PiSeemDvvvDNNmjRZ6TjzirXxjW98o/rn7bffPgMHDswWW2yRK6+8Ml/5yleSmFMbCpeXf0G1a9cu9evXX+6vYDNnzlzuL2qwJpY9bXNVc6pjx45ZuHBh3n///ZWO4YvphBNOyM0335yxY8emS5cu1e3mFbXVqFGj9OjRI/369cvIkSPTp0+fXHjhheYUtfL4449n5syZ6du3bxo0aJAGDRpk/Pjxueiii9KgQYPqeWFe8Wk0b94822+/fV5++WX/rtrACN1fUI0aNUrfvn1z11131Wi/66678tWvfrWOqmJ9ttlmm6Vjx4415tTChQszfvz46jnVt2/fNGzYsMaYN954I88++6x59wVVFEWOP/743HDDDbn33nuz2Wab1eg3r1hXiqLIggULzClqZffdd88zzzyTiRMnVr/69euXI444IhMnTszmm29uXvGpLViwIJMmTUqnTp38u2pDUxdPb+PzYcyYMUXDhg2Lyy67rHj++eeLYcOGFc2bNy+mTp1a16XxOfXhhx8WTz75ZPHkk08WSYoLLrigePLJJ4vXXnutKIqiGDVqVNGqVavihhtuKJ555pnisMMOKzp16lTMnj27eh/HHnts0aVLl+Luu+8unnjiiWK33XYr+vTpUyxevLiuTos6dNxxxxWtWrUqxo0bV7zxxhvVr7lz51aPMa9YW6eddlpx3333FVOmTCmefvrp4vTTTy/q1atX3HnnnUVRmFOsG598enlRmFesvZ/85CfFuHHjildffbV45JFHin333beorKys/m9xc2rDIXR/wf3P//xP0a1bt6JRo0bFjjvuWP01PbAiY8eOLZIs9zrqqKOKovj46y2GDx9edOzYsWjcuHGxyy67FM8880yNfcybN684/vjjizZt2hRNmzYt9t1332LatGl1cDZ8HqxoPiUprrjiiuox5hVra+jQodX/39a+ffti9913rw7cRWFOsW78e+g2r1hbhxxySNGpU6eiYcOGRefOnYsDDzyweO6556r7zakNR0VRFEXdrLEDAADAhs093QAAAFASoRsAAABKInQDAABASYRuAAAAKInQDQAAACURugEAAKAkQjcAAACUROgGAACAkgjdAPAFMXr06FRUVOSxxx6r61Jq5U9/+lP++7//u67LAIC1InQDAOsFoRuA9ZHQDQB8rs2dO7euSwCAWhO6AeALasiQIWnRokVeeOGF7LXXXmnevHk6deqUUaNGJUkeeeSR7LTTTmnevHm22mqrXHnllTW2X3a5+l133ZWjjz46bdq0SfPmzfPNb34zr7766nLHu/zyy9OnT580adIkbdq0yQEHHJBJkyatsKZnnnkme+65ZyorK7P77runqqoq//jHP/Laa6+loqKi+rXMmWeemS9/+ctp06ZNWrZsmR133DGXXXZZiqKosf/u3btn3333ze23354dd9wxTZs2zTbbbJPLL798uXpnzJiR73//++natWsaNWqUzp075zvf+U7eeuut6jGzZ8/OT3/602y22WZp1KhRNtlkkwwbNiwfffTR2v9CANggNajrAgCAurNo0aIceOCBOfbYY3PyySfnT3/6U0477bTMnj07f/vb3/Jf//Vf6dKlS377299myJAh2W677dK3b98a+zjmmGOyxx575E9/+lOmT5+en//856mqqsrTTz+d1q1bJ0lGjhyZ008/PYcddlhGjhyZd999NyNGjMjAgQMzYcKEbLnlltX7W7hwYfbbb7/84Ac/yKmnnprFixenS5cu+f73v5/JkyfnxhtvXO48pk6dmh/84AfZdNNNk3z8B4MTTjghM2bMyBlnnFFj7FNPPZWf/OQnOfXUU9OhQ4dceumlOeaYY9KjR4/ssssuST4O3P3798+iRYty+umnp3fv3nn33Xdzxx135P3330+HDh0yd+7cDBo0KK+//nr1mOeeey5nnHFGnnnmmdx99901/jAAwBdUAQB8IVxxxRVFkmLChAlFURTFUUcdVSQp/va3v1WPWbRoUdG+ffsiSfHEE09Ut7/77rtF/fr1i5NOOmm5/R1wwAE1jvPggw8WSYpzzjmnKIqieP/994umTZsWe++9d41x06ZNKxo3blwcfvjh1W3Larr88suXq3+fffYpunXrttrzXLJkSbFo0aLirLPOKtq2bVssXbq0uq9bt25FkyZNitdee626bd68eUWbNm2KH/zgB9VtQ4cOLRo2bFg8//zzKz3OyJEji3r16lV/nsv89a9/LZIUt95662prBWDD5/JyAPgCq6ioyN577139vkGDBunRo0c6deqUL33pS9Xtbdq0ycYbb5zXXnttuX0cccQRNd5/9atfTbdu3TJ27NgkycMPP5x58+ZlyJAhNcZ17do1u+22W+65557l9vntb397rc7j3nvvzeDBg9OqVavUr18/DRs2zBlnnJF33303M2fOrDF2hx12qF4RT5ImTZpkq622qnFut912W3bddddsu+22Kz3mLbfcku222y477LBDFi9eXP3aa6+9UlFRkXHjxq3VOQCwYRK6AeALrFmzZmnSpEmNtkaNGqVNmzbLjW3UqFHmz5+/XHvHjh1X2Pbuu+8mSfU/O3XqtNy4zp07V/d/sqaWLVuu8Tk8+uij2XPPPZMkf/zjH/Pggw9mwoQJ+dnPfpYkmTdvXo3xbdu2XW4fjRs3rjHu7bffTpcuXVZ53LfeeitPP/10GjZsWONVWVmZoijyzjvvrPE5ALDhck83APCpvPnmmyts69GjR5L/F3LfeOON5cb961//Srt27Wq0re190GPGjEnDhg1zyy231PgDwk033bRW+/mk9u3b5/XXX1/lmHbt2qVp06YrfAjbsn4AsNINAHwq1157bY33Dz30UF577bVUVVUlSQYOHJimTZvmmmuuqTHu9ddfz7333pvdd999jY7z76vRy1RUVKRBgwapX79+ddu8efNy9dVXr+WZ/D/f+MY3Mnbs2Lz44osrHbPvvvtm8uTJadu2bfr167fcq3v37rU+PgAbDqEbAPhUHnvssXzve9/LHXfckUsvvTQHHHBANtlkk/zwhz9MkrRu3Tq/+MUvcvPNN+fII4/MbbfdlmuuuSa77rprmjRpkuHDh6/RcbbffvvMnDkzf/jDH/Loo4/mscceS5Lss88+mTNnTg4//PDcddddGTNmTHbeeec0bty41ud01llnpV27dtlll11y4YUX5t57780NN9yQ73//+3nhhReSJMOGDcvWW2+dXXbZJRdccEHuvvvu3Hnnnbn00ktz8MEH55///Getjw/AhsPl5QDAp3LZZZfl6quvzqGHHpoFCxZk1113zYUXXljjvvDTTjstG2+8cS666KJcf/31adq0aaqqqnLuuefW+LqwVTnxxBPz3HPP5fTTT8+sWbNSFEWKoshuu+2Wyy+/PL/61a/yzW9+M5tsskn+8z//MxtvvHGOOeaYWp3TJptskkcffTTDhw/PqFGj8u6776Z9+/bZaaedqs+refPmuf/++zNq1KhccsklmTJlSpo2bZpNN900gwcPttINQJKkoiiKoq6LAADWP6NHj87RRx+dCRMmpF+/fnVdDgB8Lrm8HAAAAEoidAMAAEBJXF4OAAAAJbHSDQAAACURugEAAKAkQjcAAACUROgGAACAkgjdAAAAUBKhGwAAAEoidAMAAEBJhG4AAAAoidANAAAAJfn/AXnp3Sf/T6bdAAAAAElFTkSuQmCC",
+      "text/plain": [
+       "<Figure size 1000x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Feature Importance\n",
+    "importance = model.feature_importance()\n",
+    "feature_names = X.columns\n",
+    "plt.figure(figsize=(10, 6))\n",
+    "plt.barh(feature_names, importance, color='teal', alpha=0.7)\n",
+    "plt.title('Feature Importance', fontsize=16)\n",
+    "plt.xlabel('Importance', fontsize=12)\n",
+    "plt.ylabel('Features', fontsize=12)\n",
+    "plt.tight_layout()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a5218063-bb57-4c32-a80c-f98c401a762d",
+   "metadata": {},
+   "source": [
+    "The lower the value, the greater the importance, so as expected is_daytime which is a boolean that is true if the time of day is between 6 am and 6 pm and false rest of the time turned out to be the most important factor in a successful prediction."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c83278e7-1cec-4dd3-99fe-d792e6ba08d4",
+   "metadata": {},
+   "source": [
+    "## Key findings\n",
+    "- Due to a highly seasonal data, we can see how the accuracy improves when using models more suitable for such data, with gradient boosting integrated with featuring engineering yielding the best results.\n",
+    "- The most significant feature is is_daytime, a boolean indicating whether the observation falls between 6 AM and 6 PM, underscoring its importance in prediction success.\n",
+    "- Graphical representation clearly illustrates the ranking of feature importance."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "955da71a-0786-4f5c-9cc7-ac0905a2d483",
+   "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": "3.11.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/pct/modules/02/Time-Series-Analysis.ipynb b/pct/modules/02/Time-Series-Analysis.ipynb
new file mode 100644
index 0000000..9b9366a
--- /dev/null
+++ b/pct/modules/02/Time-Series-Analysis.ipynb
@@ -0,0 +1,1953 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "76dfb805-2b2a-431f-bf13-56356a550be3",
+   "metadata": {},
+   "source": [
+    "# Time Series Data Analysis\n",
+    "### Objective\n",
+    "The goal is to perform an in-depth analysis of historic time series data of the power grid system of Great Britain over a span of multiple years, from 2016 to 2023. By leveraging tools like pandas, matplotlib, and seaborn, it aims to uncover trends, patterns, and insights across different time periods.\n",
+    "\n",
+    "Source of data: https://www.neso.energy/industry-information/balancing-services/frequency-response-services/historic-frequency-data"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ccaecf78-ace3-4a7b-ad92-1503b277fe72",
+   "metadata": {},
+   "source": [
+    "### Purpose\n",
+    "1. Statistical Exploration\n",
+    "   - Compute key metrics like mean, standard deviation, skewness, and custom metrics (e.g., CPS1) to understand data behavior.\n",
+    "   - Identify patterns and anomalies over time.\n",
+    "2. Visualization:\n",
+    "   - Create time-series plots, histograms, kernel density plots, and boxplots to visually represent data trends and distributions.\n",
+    "3. Anomaly and Outlier Detection:\n",
+    "    - Detect and quantify deviations from expected values using threshold probabilities and outlier analysis based on the interquartile range (IQR).\n",
+    "5. Granular and Aggregated Analysis:\n",
+    "    - Analyze data for specific months (detailed analysis).\n",
+    "    - Compare data across multiple years and months (aggregated analysis).\n",
+    "7. User Interactivity:\n",
+    "   - Allow users to input a specific year and month for tailored analysis, making the notebook flexible and reusable for different datasets."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e7322244-68f4-4223-86f4-163f11e4ee7b",
+   "metadata": {},
+   "source": [
+    "### Who would benefit from this notebook?\n",
+    "- Data Analysts: Seeking to understand trends and anomalies in frequency-based time-series data.\n",
+    "- Researchers: Investigating seasonal or yearly variations in frequency data for scientific studies.\n",
+    "- Decision Makers: Looking to interpret metrics like CPS1 for operational insights or system performance.\n",
+    "- Engineers/Scientists: Analyzing time-sensitive processes where frequency trends are critical for optimization or anomaly detection."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1460ecd9-8d4f-428e-bca9-68807b319d2d",
+   "metadata": {},
+   "source": [
+    "### Applications\n",
+    "1. System Monitoring:\n",
+    "   - Analyze how a monitored system's frequency behaves under normal or abnormal conditions.\n",
+    "3. Seasonal Trend Analysis:\n",
+    "   - Identify how frequency data changes over months and years, useful for industries like energy, telecommunications, or climate monitoring.\n",
+    "5. Anomaly and Performance Analysis:\n",
+    "   - Detect periods of unusual activity or performance deviations using custom metrics (CPS1) and statistical thresholds.\n",
+    "7. Granular Insights:\n",
+    "   - Leverage 10-minute resampling to uncover trends that daily or monthly summaries might miss."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "caed10fd-3ad5-4b86-87b4-641ab3e37012",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "import seaborn as sns\n",
+    "import numpy as np"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9a605ccb-73e2-4f18-a154-6bb83010ef03",
+   "metadata": {},
+   "source": [
+    "### Data Loading\n",
+    "Dynamically select and load CSV files based on user input for year and month.\n",
+    "Data for individual months or years is loaded into dataframes for further processing."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "0be75f2a-67b1-4c64-a74b-4830e5993d25",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "name": "stdin",
+     "output_type": "stream",
+     "text": [
+      "Enter year ( 16 - 23) 16\n",
+      "Enter month for 2019 (1-12) 6\n"
+     ]
+    }
+   ],
+   "source": [
+    "year = input(\"Enter year ( 16 - 23)\")\n",
+    "month = input(\"Enter month for 2019 (1-12)\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "b48042b3-3de5-47c8-9f32-0850a822b214",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'Time series data/f 2016 6.csv'"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "if int(year) > 21:\n",
+    "    pa_th = f\"Time series data/fnew-20{year}-{month}.csv\"\n",
+    "elif int(year) < 20:\n",
+    "    pa_th = f\"Time series data/f 20{year} {month}.csv\"\n",
+    "else:\n",
+    "    pa_th = f\"Time series data/fNew 20{year} {month}.csv\"\n",
+    "pa_th"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "4b650a5b-12a1-4dd2-8188-28ee8b0f271c",
+   "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>dtm</th>\n",
+       "      <th>f</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2016-06-01 01:00:00 +0100</td>\n",
+       "      <td>50.019</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2016-06-01 01:00:01 +0100</td>\n",
+       "      <td>50.018</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2016-06-01 01:00:02 +0100</td>\n",
+       "      <td>50.016</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>2016-06-01 01:00:03 +0100</td>\n",
+       "      <td>50.004</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2016-06-01 01:00:04 +0100</td>\n",
+       "      <td>49.995</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2591995</th>\n",
+       "      <td>2016-07-01 00:59:55 +0100</td>\n",
+       "      <td>50.074</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2591996</th>\n",
+       "      <td>2016-07-01 00:59:56 +0100</td>\n",
+       "      <td>50.073</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2591997</th>\n",
+       "      <td>2016-07-01 00:59:57 +0100</td>\n",
+       "      <td>50.071</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2591998</th>\n",
+       "      <td>2016-07-01 00:59:58 +0100</td>\n",
+       "      <td>50.065</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2591999</th>\n",
+       "      <td>2016-07-01 00:59:59 +0100</td>\n",
+       "      <td>50.064</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>2592000 rows × 2 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                               dtm       f\n",
+       "0        2016-06-01 01:00:00 +0100  50.019\n",
+       "1        2016-06-01 01:00:01 +0100  50.018\n",
+       "2        2016-06-01 01:00:02 +0100  50.016\n",
+       "3        2016-06-01 01:00:03 +0100  50.004\n",
+       "4        2016-06-01 01:00:04 +0100  49.995\n",
+       "...                            ...     ...\n",
+       "2591995  2016-07-01 00:59:55 +0100  50.074\n",
+       "2591996  2016-07-01 00:59:56 +0100  50.073\n",
+       "2591997  2016-07-01 00:59:57 +0100  50.071\n",
+       "2591998  2016-07-01 00:59:58 +0100  50.065\n",
+       "2591999  2016-07-01 00:59:59 +0100  50.064\n",
+       "\n",
+       "[2592000 rows x 2 columns]"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df = pd.read_csv(pa_th)\n",
+    "df"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "66a11f13-89a2-4456-8014-ec69576b2ec2",
+   "metadata": {},
+   "source": [
+    "## Analysis\n",
+    "Compute the statistical measures such as mean, standard deviation and skewness"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "dc3eac2f-0f02-4be2-a0cb-6dea63ff9891",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "49.999848150077135\n",
+      "0.05436332709591835\n",
+      "0.17052949283325863\n"
+     ]
+    }
+   ],
+   "source": [
+    "mean_value = df['f'].mean()\n",
+    "std_dev = df['f'].std()\n",
+    "skew_ness = df['f'].skew()\n",
+    "print(mean_value)\n",
+    "print(std_dev)\n",
+    "print(skew_ness)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1e2749ee-898b-44bf-8b8e-2bf3bd593c81",
+   "metadata": {},
+   "source": [
+    "## Data Visualization\n",
+    "Generate various plots to visualize trends and distributions, including:\n",
+    "1. Time-Series Plots: Show how frequency changes over days or months.\n",
+    "2. Histograms and KDE Plots: Reveal the frequency distribution and probabilities of threshold crossings.\n",
+    "3. Boxplots: Identify outliers and summarize data spread.\n",
+    "4. Trend Analysis: Compare statistical metrics (mean, standard deviation, skewness) across months and years. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "b9eb88ac-6fa4-4100-a987-fe5aade0daa0",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Text(0, 0.5, 'Frequency')"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1800x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(18, 6))\n",
+    "plt.plot(df['f'])\n",
+    "plt.xticks(ticks=[i*86400 for i in range(31)], labels=[str(i) for i in range(1, 32)])\n",
+    "plt.title(f'Frequency Time Series of {month}/{year}')\n",
+    "plt.xlabel(f'Time in days of {month}/20{year}')\n",
+    "plt.ylabel('Frequency')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "bab43c84-3dae-4c75-8e3b-638bfb97bcae",
+   "metadata": {},
+   "source": [
+    "Drawing a frequency distribution graph, also evaluating the probabilities of frequency values falling below or above 49.1 and 50.1 to search for outliers."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "28f7a6ec-f6ad-456f-9b19-af49f416a901",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "prob_49_9 = (df['f'] < 49.9).mean()\n",
+    "prob_50_1 = (df['f'] > 50.1).mean()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "53fdd4e2-6be9-45f8-b12e-c96ec738c4e9",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(10, 5))\n",
+    "sns.histplot(df['f'], kde=True, label='Histogram', color='blue')\n",
+    "sns.kdeplot(df['f'], color='blue', label='KDE')\n",
+    "\n",
+    "plt.axvline(x=49.9, color='red', linestyle='--', label=f'P(f < 49.9) = {prob_49_9:.2%}')\n",
+    "plt.axvline(x=50.1, color='green', linestyle='--', label=f'P(f > 50.1) = {prob_50_1:.2%}')\n",
+    "\n",
+    "plt.fill_between(df['f'], 0, 1, where=(df['f'] < 49.9), color='red', alpha=0.2)\n",
+    "plt.fill_between(df['f'], 0, 1, where=(df['f'] > 50.1), color='green', alpha=0.2)\n",
+    "\n",
+    "plt.text(x=0.01, y=0.94, s=f'Mean:                        {mean_value:.10f}', transform=plt.gca().transAxes, fontsize=10)\n",
+    "plt.text(x=0.01, y=0.90, s=f'Standard Deviation:    {std_dev:.10f}', transform=plt.gca().transAxes, fontsize=10)\n",
+    "plt.text(x=0.01, y=0.86, s=f'Skewness:                   {skew_ness:.10f}', transform=plt.gca().transAxes, fontsize=10)\n",
+    "\n",
+    "plt.title(f'Distribution of Frequencies of {month}/{year}')\n",
+    "plt.legend()\n",
+    "plt.tight_layout()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ceafebb1-50da-4646-8fc3-fe86bd2d03cd",
+   "metadata": {},
+   "source": [
+    "Drawing a boxplot for better visualization and outlier detection.  \n",
+    "Use of the interquartile range (IQR) method to detect outliers."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "2bfa3042-03fa-4391-8bdc-bbb4ae6f4efb",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "Q1 = np.percentile(df['f'], 25)\n",
+    "Q3 = np.percentile(df['f'], 75)\n",
+    "IQR = Q3 - Q1\n",
+    "lower_whisker = Q1 - 1.5 * IQR\n",
+    "upper_whisker = Q3 + 1.5 * IQR\n",
+    "up_outliers = df[df['f'] > upper_whisker]\n",
+    "low_outliers = df[df['f'] < lower_whisker]\n",
+    "prob_up = len(up_outliers)/len(df)\n",
+    "prob_low = len(low_outliers)/len(df)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "ef93c411-5527-481e-8936-101f5c651054",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1500x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.title(f'Boxplot of Frequencies of {month}/{year}')\n",
+    "plt.text(df['f'].min(),0.4, f'Probability of upper outliers {prob_up}', fontsize=10)\n",
+    "plt.text(df['f'].min(),0.45, f'Probability of lower outliers {prob_low}', fontsize=10)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "886d4437-98c0-40c9-bb4d-1c005c3e055a",
+   "metadata": {},
+   "source": [
+    "## Resampling and Aggregation\n",
+    "The data is resampled into 10-minute intervals for finer-grained analysis.\n",
+    "Similar calculations and visualizations are applied to the resampled data."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "bf043f6a-2130-4b43-b151-b1dbda69c0f4",
+   "metadata": {},
+   "source": [
+    "df['dtm'] = pd.to_datetime(df['dtm'], utc=True)\n",
+    "df_10min = df.resample('10T', on='dtm').mean()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "8c6d6e21-4eee-4e7a-9a10-b3d335a75f5e",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Text(0, 0.5, 'Average frequency of 10 minute intervals')"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1800x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(18, 6))\n",
+    "plt.plot(df_10min)\n",
+    "plt.title(f'Frequency Time Series of 10 min intervals of {month}/{year}')\n",
+    "plt.xlabel(f'Time in days of {month}/20{year}')\n",
+    "plt.ylabel('Average frequency of 10 minute intervals')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "0b6b1b56-08be-45e8-a9fd-ba9ffa12dbc2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "prob_49_9_10min = (df_10min < 49.9).mean()\n",
+    "prob_50_1_10min = (df_10min > 50.1).mean()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "ead10000-e21b-4227-8cbf-0fdfbde74025",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(10, 5))\n",
+    "prob_49_9_10min = prob_49_9_10min.iloc[0] if isinstance(prob_49_9_10min, pd.Series) else prob_49_9_10min\n",
+    "prob_50_1_10min = prob_50_1_10min.iloc[0] if isinstance(prob_50_1_10min, pd.Series) else prob_50_1_10min\n",
+    "\n",
+    "sns.histplot(df_10min['f'], kde=True, label='Histogram', color='blue')\n",
+    "sns.kdeplot(df_10min['f'], color='blue', label='KDE')\n",
+    "\n",
+    "plt.axvline(x=49.9, color='red', linestyle='--', label=f'P(f < 49.9) = {prob_49_9_10min:.2%}')\n",
+    "plt.axvline(x=50.1, color='green', linestyle='--', label=f'P(f > 50.1) = {prob_50_1_10min:.2%}')\n",
+    "\n",
+    "plt.fill_between(df_10min['f'], 0, 1, where=(df_10min['f'] < 49.9), color='red', alpha=0.2)\n",
+    "plt.fill_between(df_10min['f'], 0, 1, where=(df_10min['f'] > 50.1), color='green', alpha=0.2)\n",
+    "\n",
+    "plt.title(f'Distribution of Frequencies of 10 min intervals of {month}/{year}')\n",
+    "plt.legend()\n",
+    "plt.tight_layout()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "c2180dcf-2360-4aa3-a5e0-d5ed5739edae",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "Q1 = np.percentile(df_10min['f'], 25)\n",
+    "Q3 = np.percentile(df_10min['f'], 75)\n",
+    "IQR = Q3 - Q1\n",
+    "lower_whisker = Q1 - 1.5 * IQR\n",
+    "upper_whisker = Q3 + 1.5 * IQR\n",
+    "\n",
+    "up_outliers = df_10min[df_10min['f'] > upper_whisker]\n",
+    "low_outliers = df_10min[df_10min['f'] < lower_whisker]\n",
+    "\n",
+    "prob_up = len(up_outliers) / len(df_10min)\n",
+    "prob_low = len(low_outliers) / len(df_10min)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "ceb6aa52-a9de-487b-907f-1341c9e3365d",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1500x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(15, 5))\n",
+    "sns.boxplot(x=df_10min['f'])\n",
+    "plt.title(f'Boxplot of Frequencies of 10 min intervals of {month}/{year}')\n",
+    "plt.text(df_10min['f'].min(),0.45, f'Probability of upper outliers {prob_up}', fontsize=10)\n",
+    "plt.text(df_10min['f'].min(),0.49, f'Probability of lower outliers {prob_low}', fontsize=10)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2ddf2c58-2e53-4207-a0ce-222abd865662",
+   "metadata": {},
+   "source": [
+    "The resampled data reduces outliers greatly and gives the entire distribution a smoother shape."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9875f435-0dc8-47e1-bdba-feccca3890de",
+   "metadata": {},
+   "source": [
+    "## Custom Metric (CPS1) Calculation\n",
+    "\n",
+    "A custom metric, Control Performance Score(CPS1) is calculated based on the deviation of frequencies from 50, normalized by a fixed parameter (e1).  \n",
+    "It is calculated as:\n",
+    "\n",
+    "CPS_ratio = Average<sub>10 minute</sub> [(Δf × Δf)] / ε₁²  \n",
+    "CPS₁ = (2 - CPS_ratio) × 100%  \n",
+    "Δf = f - 50  \n",
+    "ε₁ = 0.12\n",
+    "\n",
+    "The CPS1 metric is visualized, and its statistical properties like mean, standard deviation and skewness are analyzed.\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "641de966-4a8a-4293-80be-28a42ffc36f7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_10min['del_f'] = df_10min['f'] - 50"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "id": "c1893ce5-08c7-4ef7-a9c2-0c82e62658ee",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df1_10min = df_10min\n",
+    "e1 = 0.12\n",
+    "cps_ratio = df1_10min['del_f'] * df1_10min['del_f'] / (e1 ** 2)\n",
+    "cps1 = (2 - cps_ratio)*100\n",
+    "cps1 = cps1.to_frame(name='cps')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "id": "cd0a2bca-9242-4e2a-b294-bd67b0b22a3c",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1400x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(14, 6))\n",
+    "plt.plot(cps1.index, cps1, label='CPS1')\n",
+    "plt.title(f'Time Series of CPS1 for {month}/{year} ')\n",
+    "plt.xlabel('Time')\n",
+    "plt.ylabel('CPS1 Value')\n",
+    "plt.grid(True)\n",
+    "plt.legend()\n",
+    "plt.xticks(rotation=45)\n",
+    "plt.tight_layout()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "id": "71a53eff-a050-40dd-90d6-4d26da3e7550",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "skew_cps1 = cps1['cps'].skew()\n",
+    "mean_cps1 = cps1['cps'].mean()\n",
+    "std_cps1 = cps1['cps'].std()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "id": "5c26ac27-5e4c-4e46-b117-c60b82f649b5",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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kZ2cjMjIS8+bNQ6lSpTBixAgx7evXrxEREQEAuHXrFgDg0KFDsLS0hKWlJdzd3Qt9Xz179sSSJUvQq1cvcbXxM2fOYMaMGfD19RU/h0Uxbdo0HDp0CK1atUJgYCCMjIywatUq3LhxA1u3bgWQs9Dcnj17MGHChFzz2L59OwCI6x1cuXJFnKv/4Tz0uXPnwtPTEz4+PuIWcPPmzUNcXBzndBMRqVJJbhJORET/bmvWrBEAiC+pVCpYWVkJ7u7uwowZM4RXr14pXTNlyhThw/89nT9/XujYsaPg6Ogo6OjoCObm5oK7u7uwd+9ehevCw8MFFxcXQUdHRwAg9OrVSyG/169ff7IsQRAER0dHoU2bNsL27duF6tWrC1KpVChbtqzw+++/K13/119/CS1bthSMjIwES0tL4YcffhAOHDggABBOnDghpnvz5o3QpUsXwcTERJBIJAplAhCmTJmikO+tW7eEtm3bCsbGxoJUKhVq1aolrFmzRiHNiRMnBADCtm3bFI4/efJEAKCUPjenT58WmjdvLhgYGAh6enpCw4YNhX379uWa35w5cz6Zn1xsbKwwfvx4oXr16oK+vr6go6MjVKhQQRg0aJBw69YtMV1+bfOhLVu2CP7+/kLFihWFUqVKCdra2oKDg4MQEBAg3L17VyGt/Lnk9nJ3d/9k3d3d3YXq1asrHY+Pjxe+//57wdbWVtDS0hIcHR2FiRMnCmlpaQrpAAhDhw79ZDkfunXrltCmTRvB0NBQ0NXVVWqH8PBwAYDw+PHjXK/P635z+zPv9OnTgru7u6Cvry/o6+sLzZs3F86ePVuo+hIRUeFIBOETy8YSERERUYkZMmQILl68iKtXr5Z0VYiIqAgYdBMRERERERGpCBdSIyIiIiIiIlIRBt1EREREREREKsKgm4iIiIiIiEhFGHQTERERERERqQiDbiIiIiIiIiIV0SrpCnwtsrOz8eLFCxgaGkIikZR0dYiIiIiIiKgECYKA9+/fw87ODhoaefdnM+guoBcvXqBMmTIlXQ0iIiIiIiJSI8+ePYO9vX2e5xl0F5ChoSGAnAdqZGRUwrUpPJlMhiNHjqBly5bQ1tYu6erQ/2O7qCe2i3piu6gntot6YruoJ7aLemK7qKevoV3evXuHMmXKiLFiXhh0F5B8SLmRkdFXG3Tr6+vDyMhIbT+0/0VsF/XEdlFPbBf1xHZRT2wX9cR2UU9sF/X0NbXLp6Yfl+hCajNnzkS9evVgaGgIKysrdOjQAQ8ePFBIIwgCAgMDYWdnBz09PXh4eODOnTsKadLT0/HDDz/AwsICBgYGaNeuHZ4/f66QJiEhAQEBATA2NoaxsTECAgLw9u1bVd8iERERERER/YeVaNAdERGBoUOH4sKFCzh69CgyMzPRsmVLJCcni2mCgoLw+++/Y/Hixbh8+TJsbGzg7e2N9+/fi2lGjhyJXbt2YfPmzThz5gySkpLg5+eHrKwsMY2/vz8iIyMRFhaGsLAwREZGIiAg4IveLxEREREREf23lOjw8rCwMIX3a9asgZWVFa5evYpmzZpBEAQsWLAAkyZNQqdOnQAA69atg7W1NTZu3IhBgwYhMTERwcHB2LBhA1q0aAEACAkJQZkyZRAeHg4fHx/cu3cPYWFhuHDhAho0aAAAWLlyJdzc3PDgwQNUrlz5y944ERERERER/Seo1ZzuxMREAICZmRkA4MmTJ4iNjUXLli3FNDo6OnB3d8e5c+cwaNAgXL16FTKZTCGNnZ0datSogXPnzsHHxwfnz5+HsbGxGHADQMOGDWFsbIxz584Va9CdlZUFmUxWbPkVF5lMBi0tLaSlpSmMAPhSpFJpvsvoExERERER/RupTdAtCAJGjx6NJk2aoEaNGgCA2NhYAIC1tbVCWmtra0RHR4tppFIpTE1NldLIr4+NjYWVlZVSmVZWVmKaj6WnpyM9PV18/+7dOwA5wWtuQbUgCHj16pWYTt0IggAbGxs8ffq0RPYZ19DQgIODg9ovgvClyT9L6vhFzX8Z20U9sV3UE9tFPbFd1BPbRT2xXdTT19AuBa2b2gTdw4YNw82bN3HmzBmlcx8HiYIgfDJw/DhNbunzy2fmzJmYOnWq0vEjR45AX19f6bihoSFMTU1hYWEBqVRaIoGtuhIEAa9fv8bVq1fx5s2bkq6OWjp69GhJV4FywXZRT2wX9cR2UU9sF/XEdlFPbBf1pM7tkpKSUqB0ahF0//DDD9i7dy9OnTqlsKm4jY0NgJyealtbW/H4q1evxN5vGxsbZGRkICEhQaG3+9WrV2jUqJGY5uXLl0rlvn79WqkXXW7ixIkYPXq0+F6+B1vLli2VtgzLysrC48ePYWlpCXNz88Le/hchCALev38PQ0PDEvlCQEdHBxoaGnB1dYWWllp87NSCTCbD0aNH4e3tzVEAaoTtop7YLuqJ7aKe2C7qie2intgu6ulraJeCjnIu0ehHEAT88MMP2LVrF06ePAknJyeF805OTrCxscHRo0fh4uICAMjIyEBERARmz54NAKhbty60tbVx9OhRdOvWDQAQExOD27dvIygoCADg5uaGxMREXLp0CfXr1wcAXLx4EYmJiWJg/jEdHR3o6OgoHdfW1lZq9KysLEgkEpQqVUpt5y1nZ2cDyOnxL4k66ujoQCKRQCKRqO0PTUnK7XNFJY/top7YLuqJ7aKe2C7qie2intgu6kmd26Wg9SrRoHvo0KHYuHEj9uzZA0NDQ3F+tbGxMfT09CCRSDBy5EjMmDEDFStWRMWKFTFjxgzo6+vD399fTNuvXz+MGTMG5ubmMDMzw9ixY+Hs7CyuZl61alW0atUKAwYMwPLlywEAAwcOhJ+fX7EuosYh5XnjsyEiIiIiov+iEg26ly1bBgDw8PBQOL5mzRr07t0bAPDjjz8iNTUVQ4YMQUJCAho0aIAjR47A0NBQTD9//nxoaWmhW7duSE1NhZeXF9auXQtNTU0xTWhoKIYPHy6uct6uXTssXrxYtTdIRERERERE/2klPrz8UyQSCQIDAxEYGJhnGl1dXSxatAiLFi3KM42ZmRlCQkKKUs0ie/r0KeLi4r5YeRYWFnBwcPhi5REREREREVH+uKKVijx9+hRVqlZFagFXtCsOevr6uH/vHgNvIiIiIiIiNcGgW0Xi4uKQmpKC78bPgbVDeZWX9/Lp3widPQ5xcXEMuomIiIiIiNQEg24Vs3YoD/uK1Uu6GnnKzs7GnDlzsHLlSjx79gzW1tYYNGgQvvvuOzg5OWHTpk34448/cO3aNZQvXx5LliwR5+AnJCRg2LBhOHLkCJKSkmBvb4+ffvoJffr0KdmbIiIiIiIiUhMMuv/jJk6ciJUrV2L+/Plo0qQJYmJicP/+ffH8uHHjsGDBAlSrVg2///472rVrhydPnsDc3By//PIL7t69i0OHDsHCwgKPHj1CampqCd4NERERERGRemHQ/R/2/v17LFy4EIsXL0avXr0AAOXLl0eTJk0QFRUFABg2bBg6d+4MIGe1+bCwMAQHB+PHH3/E06dP4eLiAldXVwBA2bJlS+I2iIiIiIiI1JZGSVeASs69e/eQnp4OLy+vPNO4ubmJ/9bS0oKrqyvu3bsHABg8eDA2b96M2rVr48cff8S5c+dUXud/g7Vr10IikUAikSAiIkLpvCAIqFChAiQSidJ2ekTqbP369ejevTsqV64MDQ2NfL+Iu379Ojp06AA7Ozvo6+ujSpUq+PXXX5Hy0eKT8p8ViUQCqVSKDh06QCqVQiKRoEqVKvnW5927d/jtt9/g4eEBGxsblCpVCs7Ozpg9ezbS0tKU0v/111/o3LkzTE1Noa+vjwYNGmDv3r1K6QIDAxXqJX/p6uoqpDt58mSu6eSv77//Ps+6r1q1ChKJBKVKlVI6d+bMGfTv3x9169aFjo4OJBKJ+EXpx/czduxY1K1bFyYmJjAzM0Pjxo2xfft2pbQ7d+7Et99+iwoVKkBPTw9ly5bFd999h4cPHyqlTU9Px5w5c1CjRg0YGBjA3t4ev/76K86fP6+UViaTYerUqShbtix0dHRQpUqVXHcauXPnDoYMGQI3NzcYGBhAIpHg5MmTSukK80yPHz+Ovn37okqVKjAwMEDp0qXRvn17XL16VSlfQRCwcuVK1K1bF0ZGRjA3N4e7uzsOHDiglJaIiKiwGHT/h+np6RXpOolEAgBo3bo1oqOjMXLkSLx48QJeXl4YO3ZscVbxX83Q0BBr1qxROh4REYG///5bYS96oq/Bhg0bcOfOHdSvXx/ly+e9gOTdu3fRqFEjREVFYcGCBdi/fz+6d++OX3/9Fd9++61C2vPnz4uv06dPY/bs2Zg3bx4AoGPHjvnW5+nTp1iwYAHq1KmDFStWYO/evejSpQsCAwPh5+ensG1lVFQU3Nzc8ODBA/z555/Ytm0bLC0t0aFDB+zYsSPX/MPCwhTqd+rUKYXzderUUTgvf/Xs2TPf+v/zzz8YO3Ys7Ozscj1/7NgxhIeHw8HBAY0aNcrz/o8cOYIDBw6gc+fO2LZtG0JDQ1GxYkV07doVv/76q0La2bNnIyUlBZMmTUJYWBimT5+O69evo06dOrhz545C2gEDBmDChAno0KED9u3bh4ULFyIxMRFeXl64dOmSQtohQ4Zg5syZGDp0KA4fPoyOHTtixIgRmDFjhkK6K1euYPfu3TAzM8v3i+DCPNNly5YhKioKI0aMwMGDB7Fw4UK8evUKDRs2xPHjxxXynTJlCgYOHIj69etjx44dWLt2LXR0dODn54edO3fmWR8iIqKC4PDy/7CKFStCT08Px44dQ//+/XNNc+HCBTRr1gwAkJmZiatXr2LYsGHieUtLS/Tu3Ru9e/dG06ZNMW7cOMydO/eL1P9r98033yA0NBR+fn4Kx4ODg+Hm5oZ3796VUM2Iiubw4cPQ0Mj5LtfPzw+3b9/ONd3GjRuRlpaGHTt2iMF58+bNERMTgxUrViAhIQGmpqYAgIYNG4rXyWQyxMfHY+fOnZBIJOjXr1++9XFyckJUVBQMDAzEY82bN4eBgQHGjRuHs2fPokmTJgCAWbNmISUlBYcPH0bp0qUBAK1atYKzszNGjRqFjh07ivcmV7duXVhYWORZvpGRkUL9gZwe1e+++w6Ojo7w9vbO9brvv/8ezZo1g5mZWa690r/88gumTJkCAJg7d26uPcIA0L17dwwdOlT8ohTI+bI0Li4Os2fPxvjx46GjowMA2LdvH6ysrBSub968OcqWLYv58+dj1apVAHJ6uTdu3Ah/f39Mnz4dQE67pKamom/fvggNDUX9+vUB5PReBwcH47fffsO4ceMAAB4eHoiPj8f06dPx/fffw8zMDAAQEBAgTnPavn079u3b99nPdMmSJUr31KpVK1SoUAEzZsxA8+bNxeOrV69GkyZNsGzZMvGYt7c3bGxssG7dOnTq1CnX+hARERUEe7r/w3R1dTF+/Hj8+OOPWL9+Pf7++29cuHABwcHBYpolS5Zg165duH//PoYOHYqEhAT07dsXADB58mTs2bMHjx49wp07d7B//35UrVq1pG7nqyPv0Tt9+rR4LDExETt27BCf8ccyMjIwffp0VKlSBTo6OrC0tESfPn3w+vVrhXRbtmxBy5YtYWtrCz09PVStWhUTJkxAcnKyQrrevXujVKlSePToEXx9fVGqVCmUKVMGY8aMQXp6ejHfMf3bfRyU5kVbWxsAYGxsrHDcxMQEGhoakEqleV6bmpqKHTt2wN3dHRUqVMi3HAMDA4WAW04eFD579kw8dvbsWdSqVUsMuAFAU1MTrVu3xrNnz5R6cIvqxIkTePz4Mfr06ZPr8woJCUFERASWLl2aZx4Ffc4WFhYKAbdc/fr1kZKSgjdv3ojHPg5OAcDOzg729vYKz0lDQwMaGhpKbaevrw8NDQ2FIfa7d++GIAhKO1r06dMHqampCAsLK/Q95SavZ5rbPZUqVQrVqlVTuCcg5zP58T3p6uqKLyIios/Bnm4Ve/n0b7Uu55dffoGWlhYmT56MFy9ewNbWVmFO3KxZszB79mxcv34d5cuXx549e8SeHalUiokTJyIqKgp6enpo2rQpNm/eXCz3819gZGSETp06ITw8XDy2adMmaGho4JtvvsGCBQsU0mdnZ6N9+/Y4ffo0fvzxRzRq1AjR0dGYMmUKPDw8cOXKFXHKwMOHD+Hr64uRI0fCwMAA9+/fx+zZs3Hp0iWlYZUymQzt2rVDv379MGbMGJw6dQrTpk2DsbExJk+eLKbr3bs31q1bhydPnnDRPPosvXr1woIFCzB48GDMnj0blpaWiIiIwPLlyzF06NBcA2W506dPIzk5Oc/ROQUh/xmoXv1/2zlmZGSIva4fkvcE37x5U6mH1dnZGa9evYKFhQV8fHwwffp0ODg45Ft2cHAwNDQ0ct1a8dWrVxg5ciRmzZoFe3v7Qt9XQZ04cQKWlpa5BqUfevz4MaKjo9GhQwfxmLa2NoYMGYLg4GC0aNECzZs3x8uXL7FkyRIYGxtjwIABYtrbt2/D0tISNjY2CvnWrFlTPF8c8numH0tMTMS1a9cUerkBYMSIERg7diyCg4PRqVMnpKWlYc6cOUhMTMTw4cOLpZ5ERP8GT58+RVxc3BcpKzs7+4uU80UIVCCJiYkCACExMVHpXGpqqnD37l0hNTVVPBYdHS3o6esLAL7YS09fX4iOjs61/llZWUJCQoKQlZVVoPt98uSJAEC4fv16kZ7Xx3J7Rv9Va9asEQAIly9fFo4eParwnOvVqyf07t1bEARBqF69uuDu7i5et2nTJgGAsGPHDoX8Ll++LAAQli5dmmt52dnZgkwmEyIiIgQAwo0bN8RzvXr1EgAIW7duVbjG19dXqFy5ssKxvn37CpqamkJUVFRRb/2rkZGRIezevVvIyMgo6ap8tdq0aSM4Ojrmef7evXtClSpVFH6HDR8+XMjOzs7zmoyMDKFSpUqCiYlJkX+X3LhxQ9DT0xM6duyocLxDhw6CiYmJ8P79e4XjTZs2FQAIM2bMEI+tX79e+O2334SDBw8Kx48fF2bNmiWYmZkJ1tbWwvPnz/MsOyEhQdDV1RV8fHxyPd+5c2ehUaNG4jPo1auXYGBgkO/9zJkzRwAgPHnyJN90citXrhQACAsXLsw3nUwmEzw8PAQjIyPh6dOnCueys7OFyZMnCxoaGmLbWVpaCpcuXVJI5+3trfR7RE4qlQoDBw7M9dy2bdsEAMKJEyc+eT+feqYf++677wQtLS3hypUrSuf+/PNPQUdHR7wnMzMz4ejRowXKVx3x95h6YruoJ7ZLwXzp+EZPT0/YvXu38Pjx45K+9TzlFyN+iD3dKuLg4ID79+59sW+CgJyhhJ/qZSH10qxZM3HOoKamJi5fviwuEvWx/fv3w8TEBG3btkVmZqZ4vHbt2rCxscHJkycxePBgADk9VD///DOOHz+OV69eKSwYde/ePbGnCchZGK9t27YKZdWsWVOpRzw4OFhh6gFRUUVFRaFt27awtrbG9u3bYWlpiYsXL2L69OlISkrK83N2584d/PXXXxg8eHCRhvxGRUXBz88PZcqUEecoyw0bNgx79uxBz549MXfuXBgYGGDx4sXirgwfDlsOCAhQuNbT0xOenp5wc3NDUFAQFi5cmGv5oaGhSEtLy7WXfseOHdi3bx+uX7+e65Dw4nDo0CEMHToUXbp0wQ8//JBnOkEQ0K9fP5w+fRo7duxAmTJlFM7/9ttvmDt3LgIDA9G0aVO8efMGv/76K3x9fXHkyBG4uLiIafO7l+K4z/ye6cd++eUXhIaGYtGiRahbt67CuTVr1mDEiBEYNmwYWrdujYyMDKxfvx7t27fHzp074ePj89l1JSL62sXFxSE1JQXfjZ8Da4e8F0wtLvH/PMn5b3w8nJycVF6eKjHoViEHBwcGwZQviUQCLy8vbNy4ERkZGahUqRKaNm2aa9qXL1/i7du3ec53lX/Bk5SUhKZNm0JXVxfTp09HpUqVoK+vj2fPnqFTp05ITU1VuE5fX18pgNHR0cl1SyWi4jBhwgS8e/cOkZGR4lDyZs2awcLCAn379kXPnj3h7u6udN3atWsBoEDDiD8WHR0NT09PaGlp4dixY0pDyb28vLBmzRqMGTNGXNytWrVqmDZtGn766SeFud65qV+/PipVqoQLFy7kmSY4OBiWlpZo3769wvGkpCQMHToUP/zwA+zs7PD27VsAOUPeAeDt27fQ1tbOd9j9pxw+fBidOnWCt7c3QkND8wx4BUFA//79ERISgnXr1inV9d69e5g8eTKCgoLE3SpkMhkEQcCECRMwevRonDhxAgBgbm6OyMhIpTKSk5PzHM5fWHk9049NnToV06dPx2+//aawGCgAJCQkYOjQoejfv7/CQqCtW7eGh4cHvv/+ezx58uSz60pE9G9h7VAe9hWrfzrhZ9JUzXfQJYJBN+WqbNmyCr2jpDrNmzfHpk2b8Oeff+K3337LM52FhQXMzc0VFh/6kHyLsePHj+PFixc4efKkQuAi/0OeqKRFRkaiWrVqSkFkvXr1AOTM9f046M7IyEBoaCjKly+P2rVrF6q86OhoeHh4QBAEnDx5Ms/50r169RL3ptbW1kaFChUwc+ZMSCSSPL8M+5AgCHkuCHb9+nVcv34dY8aMEReSk4uLi8PLly8xb968XEe6mJqaon379ti9e/enbzYXhw8fRocOHeDu7o4dO3bk+cWdPOBes2YNgoOD0aNHD6U0N27cgCAIYlvJaWlpwdnZWWFhSGdnZ2zevBmxsbEK87pv3boFAKhRo0aR7kcuv2f6oalTpyIwMBCBgYH46aeflM4/ePAAqampSvcEAK6uroiIiEBSUlKue6YTEREVBINuohJmbm6O0aNH4+HDh+KWObnx8/PD5s2bkZWVhQYNGuSZTt6DJV8ASm758uXFU2Giz2RnZ4fbt28rBTLnz58HgFyD4r179yIuLg6dO3cuVFlPnz6Fh4cHsrKycPLkSTg6OuabXktLS9yFITExEStWrED79u0/ed2FCxfw8OHDPBfdkg+Zz22bMxsbG7F3+EOzZs1CREQEDh06lO/WZPk5cuQIOnTogCZNmmD37t1KvxfkBEHAgAEDsGbNGixfvjzP0QTyvcMvXLig8MWITCZDZGSkQtu1b98eP//8M9atW4fx48eLx9euXQs9PT20atWqSPckl98zlZs2bRoCAwPx888/i9us5XdPH/4OFgQBFy5cgKmp6WeNMiAiImLQTaQGZsyYkW9PDZCz525oaCh8fX0xYsQI1K9fH9ra2nj+/DlOnDiB9u3bo2PHjmjUqBFMTU3x/fffY8qUKdDW1kZoaChu3LjxWXXs168f1q1bh7///vuTAQj9N929exd3794FAMTGxiIlJUXcZ7patWqoVq0aAGDkyJHo0KEDvL29MWrUKFhYWODChQuYOXMmqlWrhtatWyvlHRwcDD09PTRr1izP8rW0tODu7o5jx44ByFkN3NPTEzExMQgODsarV6/w6tUrMb29vb0YJL569Qrz5s1D48aNYWhoiPv37yMoKAgaGhpYsmSJQjm1atVCjx49ULVqVejq6uLSpUuYM2cObGxs8OOPPyrVKy0tDRs3bkSjRo1y3VZRV1cXHh4eSsfXrl0LTU1NpXOvX79GREQEgP/1Gh86dAiWlpawtLQUg+EzZ86gQ4cOsLGxwU8//aQ01LtatWowMjICAAwfPhzBwcHo27cvnJ2dFYbJ6+joiPO0mzRpgnr16iEwMBApKSlo1qwZ4uPjMW3aNDx58gQbNmwQr6tevTr69euHKVOmQFNTE/Xq1cORI0ewYsUKTJ8+XWF4eUpKCg4ePAgAYtkRERGIi4uDgYGB0mfiU88UAObNm4fJkyejVatWaNOmjdLQf/lq9A4ODujUqRNWrFgBHR0d+Pr6Ij09HevWrcPZs2cxbdo0lc2zJyKi/wYG3cXoX7WsfTHjUPXPp6mpib1792LhwoXYsGEDZs6cCS0tLdjb28Pd3R3Ozs4AcnrODxw4gDFjxqBHjx4wMDBA+/btsWXLFtSpU6fI5WdlZSErK4ttSXnaunUrpk6dqnCsa9euAIApU6YgMDAQANCuXTscO3YMs2bNwogRI5CYmIgyZcpg0KBBmDhxotLw52fPnuHIkSPw9/fPt8dR/hmVu3v3Lh4/fgwAuQ6V/rBOWlpaiIyMxJo1a/D27VvY2tqiffv2mDx5slIvc7Vq1bBixQrExMQgIyMDdnZ26N69OyZPngxbW1ulcnbu3ImEhITP2ubsQ3fu3BGfq9yQIUMAAO7u7jh58iQAIDw8HKmpqYiKilLaIgvI2TpMHtDv27cPALB69WqsXr1aIZ2joyOioqIA5Cwod/ToUcyZMwfbtm3D3LlzUapUKVhZWWHv3r1KizIuXboUpUuXxqJFixAbG4uyZcti4cKFSgu5vXr1Sume5G3zYflyBXmm8nsKCwvLdVrOh7/LQkNDsXjxYmzYsAGrV6+GtrY2KlWqhJCQEPj7++dZBhERUUFIBP4FXSDv3r2DsbExEhMTxZ4BuezsbDx8+BCampqwtLSEVCpVu2/Fs7OzxaGcec05VBVBEPD69WukpKSgYsWK0NTU/KLlqzOZTIaDBw/C19f3kz3d9OWwXdQT20U9sV3UE9tFPbFd1BPbpWCuXbuGunXrYvSSnV9kIbWYR3fQ2E4DpUuXhqurq8rLK4r8YsQPsae7GGhoaMDJyQkxMTF48eJFSVcnV4IgIDU1FXp6eiXyhYBEIoG9vT0DbiIiIiIi+k9h0F1MpFIpHBwckJmZqTC8UV3IZDKcOnUKzZo1K5Fv8LS1tRlwExERERHRfw6D7mIkkUigra2tlsNSNDU1kZmZCV1dXbWsHxERERER0b/Rl53cS0RERERERPQfwqCbiIiIiIiISEUYdBMRERERERGpCINuIiIiIiIiIhVh0E1UAi5evIiOHTuifPny6NKlC+zt7eHm5oYxY8YopFu6dCnWrl1bMpX8f4GBgV9sm7moqChIJJJP3vPJkychkUjEl1QqhaWlJRo3boxJkyYhOjpa5XWV1+HkyZOFvvbu3bsIDAxEVFSU0rnevXujbNmyn12/knDmzBn0798fdevWhY6ODiQSSa73KBcdHY2+ffvCzs4OOjo6KF26NDp27PjJcuSfk9xemzdvVkh7584dDBkyBG5ubjAwMMi3zdavX4/u3bujcuXK0NDQyLMdIiMj0aZNGzg4OEBPTw9mZmZwc3NDSEiIQrqsrCz8/vvvaNWqFezt7aGvr4+qVatiwoQJePv2bb73ePfuXfEZXrlyReFceHg4vL29xedmZWWF5s2b4+DBg0r5TJo0CS4uLjAzM4Ouri7KlSuHgQMH5voz8vPPP8PPzw+lS5eGRCJB7969c61b2bJllX7+OnToAKlUCl1dXYW079+/x/Dhw1G6dGno6OigUqVKCAoKUtrl4+Of6Q9fFy5cUEjbu3fvXNNVqVJFId1ff/2FsWPHom7dujAxMYGZmRkaN26M7du3K93T2rVr8yw/NjY21+dARERUUFy9nOgLO3DgANq1awcPDw/MmDED0dHRcHR0RGRkJDZv3ox58+aJaZcuXQoLC4s8//j9r5sxYwY8PT2RlZWF+Ph4XLx4EatXr8b8+fOxcuVKfPfddyoru06dOjh//jyqVatW6Gvv3r2LqVOnwsPDQymw++WXXzBixIhiquWXdezYMYSHh8PFxQVGRkb5fiFx+/ZteHh4oFy5cpg7dy7s7e0RExODw4cPF7i8H374Af7+/grHKlasqPD+ypUr2L17N1xcXODl5YV9+/blmd+GDRsQGxuL+vXrIzs7GzKZLNd0b9++RZkyZfDtt9+idOnSSE5ORmhoKAICAhAVFYWff/4ZAJCamorAwEB8++236N+/PywsLHDt2jVMnz4d+/btw5UrV6Cnp6eUf1ZWFvr27QsLCwu8ePFC6Xx8fDyqV6+O/v37w8bGBm/evMGff/6JNm3aYMOGDejRo4dCXb/99ltUrVoVhoaGuHv3LqZPn469e/fizp07MDc3F9POnz8fNWvWRLt27bB69eo8n9OuXbuQnp4uvs/MzMSePXswd+5chS9NMjMz4e3tjb/++gvTpk1DpUqVEBYWhgkTJuD58+f4448/lPKW/0x/qEaNGkrp9PT0cPz4caVjHzpy5AgOHDiAgIAA1KtXD5mZmdiyZQu6du2KqVOnYvLkyUr5rlmzRil4//AZERERFQWDbqIvLCgoCE5OTjh8+DAEQcDBgwfh6+uLHj16ICgoqKSrp3IpKSnQ19cvlrwqVqyIhg0biu/btWuHMWPGoEWLFujduzdq1qwJZ2fnYinrY0ZGRgplF5fy5csXe55fyi+//IIpU6YAAObOnZtn0C0IAgICAlCmTBmcPn0aOjo64rlvvvmmwOU5ODh8sg0CAgLQq1cvAMD27dvzDboPHz4MDY2cAWB+fn64fft2ruk8PDzg4eGhcMzPzw9PnjzBihUrxKBbT08PT548UQjaPDw84ODggK5du2LHjh0KAbLc/Pnz8fz5c4wfPz7XL2C++eYbpefk5+cHJycnrFixQiHPJUuWKNXdyckJvr6+2LNnD/r27Suee//+vXj/GzZsyPXeAcDFxUXhvUwmE8vp37+/eHz79u24ePEiduzYgU6dOgEAvL29kZSUhCVLlmDo0KGoXLmyQl4f/0znRUND45PpunfvjqFDhyqM1GndujXi4uIwe/ZsjB8/XuGzB+QE+K6urp8sn4iIqDA4vJzoC4uPj4eFhQW0tJS/85L/wQvkDOG8c+cOIiIixGGO8l7RtLQ0jBkzBrVr14axsbE4vHXPnj1KeUokEgwbNgwbNmxA1apVoa+vj1q1amH//v1KaQ8cOIDatWtDR0cHTk5OmDt3bq73sGTJEjRr1gxWVlYwMDCAs7MzgoKClHoGPTw8UKNGDZw6dQqNGjWCvr6++Ef+ixcv0K1bNxgaGsLY2BjffPNNsQzjNDMzw/Lly5GZmYn58+crnHv48CH8/f1hZWUFHR0dVK1aVSEoef36NaRSqRg4fuj+/fuQSCRi71xuw8uvXLmC7t27o2zZstDT00PZsmXx7bffKgzlXbt2Lbp27QoA8PT0FNtWPqQ+t+HlaWlpmDhxIpycnCCVSlG6dGkMHTpUaYhy2bJl4efnh7CwMNSpUwd6enqoUqVKvr2WxenDz29+Tp06hcjISIwcOVIp6CmpOhU2bW4+/rnW1NTMtZe0fv36AIBnz54pnXv48CEmT56MpUuXwsjIqMBla2trw8TEJNffKx+ztLQEAKW0Rb1/QRBw7NgxlCtXDs2bNxePnz17FhKJBK1bt1ZI7+fnh+zsbOzatatI5RWUhYVFrlNj6tevj5SUFLx580al5RMREckx6Cb6wtzc3HDx4kUMHz4cly5dQmZmZq7pdu3ahXLlysHFxQXnz5/H+fPnxT9S09PT8ebNG4wdOxa7d+/Gpk2b0KRJE3Tq1Anr169XyuvAgQNYvHgxfv31V+zYsQNmZmbo2LEjHj9+LKY5duwY2rdvD0NDQ2zevBlz5szB1q1bsWbNGqX8/v77b/j7+2PDhg3Yv38/+vXrhzlz5mDQoEFKaWNiYtCjRw/4+/vj4MGDGDJkCFJTU9GiRQscOXIEM2fOxLZt22BjY1OoXs781KtXD7a2tjh16pR47O7du6hXrx5u376NefPmYf/+/WjTpg2GDx+OqVOnAsgJRvz8/BASEoLs7GyFPNesWQOpVJrvkPWoqChUrlwZCxYswOHDhzF79mzExMSgXr16iIuLAwC0adMGM2bMAJDz5YW8bdu0aZNrnoIgoEOHDpg7dy4CAgJw4MABjB49GuvWrUPz5s0VhvkCwI0bNzBmzBiMGjUKe/bsQc2aNdGvXz+FZwHkBOglNXdcXhdDQ0P4+vpCV1cXpUqVgp+fH+7fv1/gfGbNmgWpVAp9fX00adIEe/fuVVWVc5WdnY3MzEy8fv0aS5cuxeHDhzF+/PhPXicfFl29enWF44IgoH///vDz80O7du0KXP6LFy8wZcoU/PXXX0rrQshlZmYiNTUV169fx8iRI1GpUiWx9/lzHTt2DK9fv0avXr0UgtyMjAxoaGhAW1tbIb38i5abN28q5TV06FBoaWnByMgIPj4+OHPmTK5lpqamwsbGBpqamrC3t8ewYcMKHESfOHEClpaWsLKyUjrn5+cHTU1NmJmZoVOnTnmOdiAiIioMDi8n+sJmzZqF+/fvY9GiRVi0aBG0tLRQr149tGvXDsOGDUOpUqUA5Azh1NPTy3UYs7GxsUIwnJWVBS8vLyQkJGDBggXo2bOnQvrU1FSEh4fD0NAQQM58ZDs7O2zduhUTJkwAkLPgkrW1NY4ePSouhuTj45NrYPb777+L/87OzkbTpk1hbm6OPn36YN68eTA1NRXPv3nzBtu2bVPoAfvzzz9x79497NmzRwwuWrZsidTUVKxcubLQzzQ3Dg4OCn/Ujx49GoaGhjhz5ozYg+jt7Y309HTMmjULw4cPh6mpKfr06YNdu3bh5s2b8PPzA5DzfENCQtC2bdt853d26dIFXbp0Ed9nZWXBz88P1tbW2LhxI4YPHw5LS0tx3nG1atU+OUT2yJEjOHz4MIKCgjBu3Dix3mXKlME333yD9evXY8CAAWL6uLg4nD17Fg4ODgCAZs2a4dixY9i4cSOaNWsmpitIj6iq/PPPPwCAPn36oGvXrjhw4ABiYmLw888/o2nTprh58yZsbW3zvF5HRwcDBgyAt7c3bG1t8fTpUyxatAjt27fHypUrFYY4q9KQIUOwfPlyAIBUKsUff/yR6xdPH/rnn38wYcIEuLq6ip8vuSVLluDWrVvYunVrgcr39fUV58AbGRlhy5YtuX55Exsbq/A8GzRogBMnToi/az7XmjVroKGhofR7p1q1asjKysKFCxfQpEkT8bg8kI6PjxePGRsbY8SIEfDw8IC5uTkePXqEOXPmwMPDAwcOHICPj4+YtlatWqhVq5Y41zsiIgLz58/HsWPHcPny5Xzva9WqVTh58iQWLlwITU1N8biNjQ0mTZqEhg0bwsjICLdu3cKsWbPQsGFDnD17FrVq1fq8h0RERP9p7Okm+sLMzc1x+vRpXL58Gb/99hvq16+Phw8fYuLEiXB2dhZ7RD9l27ZtaNy4MUqVKgUtLS1oa2sjODgY9+7dU0rr6ekpBtwAYG1tDSsrK3HYc3JyMi5fvoxOnToprD5saGiItm3bKuV3/fp1tGvXDubm5tDU1IS2tjZ69uyJrKws/PXXXwppTU1NFQJuIKenydDQUKk37+NFsT6HIAjiv9PS0nDs2DF07NgR+vr6yMzMFF++vr5IS0sTV0hu3bo1bGxscOzYMfH6w4cP48WLFwrzX3OTlJSE8ePHo0KFCtDS0oKWlhZKlSqF5OTkXNulIOS9oh8vpte1a1cYGBgo1BMAateuLQbcAKCrq4tKlSoprVb96NEjPHr0qEh1+lzyUQRubm5YtWoVvLy80KNHD+zevRtxcXFK85A/ZmtrixUrVqBr165o0qQJ/P39cerUKbi4uGDChAl5jh4pbj/99BMuX76MAwcOoG/fvhg2bFieUzKAnC+gfH19IQgCtmzZojCcOzo6GhMnTsScOXNgbW1doPIXLVqES5cuYc+ePfDx8cE333yDTZs2KaWzsLDA5cuXcebMGaxcuRJv3ryBp6cnYmJiCn/TudzT3r17UadOHZQuXVrh3HfffQczMzMMHDgQFy9exNu3b7Fp0yZxisaH9+/i4oIFCxagQ4cOaNq0Kfr06YNz587B1tYWP/74o0K+o0aNwqhRo+Dt7Q1vb29Mnz4d69evx/379/P90u7QoUMYOnQounTpgh9++EHhXKtWrTB9+nT4+fmhWbNmGDp0KE6fPg2JRJLrgmtERESFwaCbqIS4urpi3Lhx+PHHHxEdHY1Ro0YhKiqqQIup7dy5E926dUPp0qUREhKC8+fP4/Lly+jbty/S0tKU0ufWO6ujo4PU1FQAQEJCArKzs2FjY6OU7uNjT58+RdOmTfHPP/9g4cKF4hcI8kBJnqdcbj2W8fHxuQYWuZVfVE+fPoWdnZ1YXmZmJhYtWgRtbW2Fl6+vLwCIX3ZoaWnB399fDBKAnHnYtra2Cr1tufH398fixYvRv39/HD58GJcuXcLly5dhaWmp9FwKKj4+HlpaWuI8XDmJRAIbGxuF3kLg022tDuR1/Ph51q5dG7a2trh27Vqh89TW1sY333yD+Ph4PHz4sFjq+SkODg5wdXWFr68vli1bhoEDB2LixIl4/fq1UtqEhAR4e3vjn3/+wdGjR1GuXDmF80OHDkWNGjXQuXNnvH37Fm/fvkVKSgqAnC9zEhMTlfKsWLGiOEpm69at8PLywtChQ5WmRmhpacHV1RWNGzdG//79cfz4cTx+/BizZs367GcQEhKC9PR0tGjRQumchYUFwsLCAAANGzaEqakpfvjhB3GkzMdB+sdMTEzg5+eHmzdvfvLz27FjRxgYGChtLyZ3+PBhdOrUCd7e3ggNDS3QNohly5ZFkyZN8syTiIiooDi8nEgNaGtrY8qUKZg/f36B5hCGhITAyckJW7ZsUfjj8eP5vQVlamqa5360Hx/bvXs3kpOTsXPnTjg6OorHIyMjc807tz9uzc3NcenSpU+WVVSXLl1CbGws+vXrByDn/jQ1NREQEIChQ4fmeo2Tk5P47169euH333/H1q1b4e/vj71792LkyJEKw1E/lpiYiP3792PKlCnikH3gf/Pvi8rc3FycN/xh4C0IAmJjY1GvXr0i511Satasmec5QRA+a0Ev4PMXRCuq+vXr488//8Tjx48V2iohIQEtWrTAkydPcOzYsVzv//bt24iOjlaYmiHn6ekJY2PjT+7tXb9+fYSFheH169f59pbb29vDzs5OaVRKUQQHB8Pa2jrPz2G9evVw9+5dREVFITk5GRUrVsTVq1cBQGG6Q17kbVqQIDmvz87hw4fRoUMHuLu7Y8eOHZBKpZ/M61N5EhERFQb/T0L0heU1pFM+/FjeOwvk3UMpkUgglUoV/hCNjY3NdfXygjAwMED9+vWxc+dOhZ7y9+/fK22xJC/zw1WnBUEo1FxsT09PvH//Xmnhq40bNxal+grevHmD77//Htra2hg1ahQAQF9fH56enrh+/Tpq1qwJV1dXpdeHPcRVq1ZFpUqVsG7dOmzcuBHp6eno06dPvuVKJBIIgqC0GveqVauQlZWlcEyepiC9z15eXgByvmj50I4dO5CcnCye/5q0bt0a+vr6OHTokMLxa9euITY2tkhbsclkMmzZsgUWFhaoUKFCcVW1UE6cOAENDQ2FXmx5wP348WMcOXJEabstuc2bN+PEiRMKL/mibH/++Weuuw18SBAEREREwMTE5JP7Sj969AjPnz//7Od05coV3Lx5Ez169Mj3Cykgp9e4evXq0NbWxrx582BnZyeu4p+XhIQE7N+/H7Vr11aY9pKb7du3IyUlRemzc+TIEXTo0AFNmjTB7t27C7Va/pMnT3D27FmVbA1IRET/LezpJvrCfHx8YG9vj7Zt26JChQq4ceMGHjx4gAULFqBUqVIK+/I6Oztj8+bN2LJlC8qVKwddXV04OzvDz88PO3fuxJAhQ9ClSxc8e/YM06ZNg62tbZGH1k6bNg2tWrWCt7c3xowZg6ysLMyePRsGBgYKPbXe3t6QSqX49ttv8eOPPyItLQ3Lli1DQkJCgcvq2bMn5s+fj549e+K3335DxYoVcfDgQXFRqIJ6+PAhLly4gOzsbMTHx+PixYsIDg7Gu3fvsH79eoXVoRcuXIgmTZqgadOmGDx4MMqWLYv379/j0aNH2Ldvnzh3Ws7LywvLli1DTEwMGjVqpLSf8MeMjIzQrFkzzJkzBxYWFihbtiwiIiIQHBwMExMThbTyBaBWrFgBQ0ND6OrqwsnJKddgydvbGz4+Phg/fjzevXuHxo0b4+bNm5gyZQpcXFwQEBBQqGcmJw+4inNe9+vXrxEREQEAuHXrFoCcebSWlpawtLSEu7s7gJxhw7/++ivGjh2L3r1749tvv0VsbCx++eUXODg4YMiQIWKe69evR9++fbF69Wp8++23AIBx48YhKysLjRs3ho2NDZ49e4ZFixYhMjISa9asUQgAU1JScPDgQQAQhwlHREQgLi4OBgYGCttZ3b17F3fv3gWQ8yVWSkoKtm/fDiBnUbBq1aoBAAYOHAgjIyPUr18f1tbWiIuLw7Zt27BlyxaMGzdO7OVOTU2Fj48Prl+/jgULFiAzM1NhqLKlpaW4L3tugV1UVBQAoG7dugp7R7dv3x61atVC7dq1YW5ujhcvXmDt2rWIiIjAkiVLxEXybt68iVGjRqFLly4oV64cNDQ0cOvWLcyfPx/m5uYYO3asQnkRERHi0PisrCxER0eL9+/u7q40xSE4OBhAzoJ4eX2OJk2aBGdnZ3HBu9WrV+PixYs4cOAA9PT0xHT+/v7icH0LCws8fPgQ8+bNw8uXL8Xt9ICcue/+/v7o3r07KlSoAIlEgoiICCxYsADVq1dXWETvzJkz6NChA2xsbPDTTz8pjcapVq2auKhiixYt0KxZM9SsWVNcSC0oKAgSiQTTpk3L9d6IiIgKTKACSUxMFAAIiYmJJV2VIsnIyBB2794tZGRklHRV/vO2bNki+Pv7CxUrVhRKlSolaGlpCQ4ODkJAQIBw9+5dhbRRUVFCy5YtBUNDQwGA4OjoKJ6bNWuWULZsWUFHR0eoWrWqsHLlSmHKlCnCxz/WAIShQ4cq1cPR0VHo1auXwrG9e/cKNWvWFKRSqeDg4CDMmjUr1zz37dsn1KpVS9DV1RVKly4tjBs3Tjh06JAAQDhx4oSYzt3dXahevXquz+H58+dC586dhVKlSgmGhoZC586dhXPnzgkAhDVr1uT7DE+cOCEAEF9aWlqCubm54ObmJvz0009CVFRUrtc9efJE6Nu3r1C6dGlBW1tbsLS0FBo1aiRMnz5dIV1GRoawceNGQU9PTwAgrFy5Ms86fHi/8nsyNTUVDA0NhVatWgm3b9/O9VkvWLBAcHJyEjQ1NRXuuVevXgrtLAiCkJqaKowfP15wdHQUtLW1BVtbW2Hw4MFCQkKCQjpHR0ehTZs2SnV1d3cX3N3dldJ+XM7n+rhdPnx9XL4gCMLKlSuFGjVqCFKpVDA3Nxe+++474dmzZwpp1qxZIz4f+e+xFStWCPXr1xfMzMwELS0twdTUVPDx8REOHz6sVMaTJ0/yrNPH9y//rOf2mjJliphu9erVQtOmTQULCwtBS0tLMDExEdzd3YUNGzYUuGwASp+Jj8nv/fLlywrHZ8+eLdSrV08wNTUVNDU1BXNzc8HHx0fYv3+/QrrY2FihR48eQvny5QV9fX1BKpUK5cqVE77//nvh6dOnSuW5u7vnWdcPP+eCIAgpKSmCsbGx0KxZs3z//zJ48GDBwcFBkEqlgoWFhdC5c2fh5s2bSulmzpwp1K5dWzA2NhY0NTUFS0tLoWPHjsKlS5cU0r1580bo2LGjULZsWUFPT0+QSqVCxYoVhR9//FF4+/atQtr82vPjexo5cqRQrVo1wdDQUNDS0hLs7OyEHj16CA8ePMi1bb4G/P++emK7qCe2S8FcvXpVACCMXrJT+P3IA5W/xi3dKezevVvp/4PqpKAxokQQPljil/L07t07GBsbIzExUfxm/Gsik8lw8OBB+Pr6Ku2ZSiWH7aKe2C7qie2intgu6ontop7YLuqJ7VIw165dQ926dTF6yU7YV6z+6Qs+U8yjO2hsp4HSpUsrjPhSJwWNETmnm4iIiIiIiEhFGHQTERERERERqQiDbiIiIiIiIiIVYdBNREREREREpCIMuomIiIiIiIhUhEE3ERERERERkYow6CYiIiIiIiJSEQbdRCXg4sWL6NixI8qXL48uXbrA3t4ebm5uGDNmjEK6smXLws/Pr4RqSVQ4x48fR9++fVGlShUYGBigdOnSaN++Pa5evVqg69euXQuJRJLrKzY2ViGth4dHrulatWqllO/PP/8MPz8/lC5dGhKJBL179y5QfXr06AGJRJLrz+C7d+8wadIkVKpUCfr6+ihdujS6du2KO3fuKKW9fv06OnToADs7O+jr66NKlSr49ddfkZKSopDujz/+QMOGDWFhYQEdHR04ODige/fuueYZGxuLYcOGoVy5ctDT04OjoyP69euHp0+fKqR7/vw5Ro4cCXd3d5iYmEAikWDt2rV53nNycjImT56MSpUqQUdHB+bm5vD09MTDhw8V0j169AgBAQFwcHCAkZERBg0ahHHjxiE+Pl4h3Z07dzBkyBC4ubnBwMAAEokEJ0+ezLP8uLg4jBgxAmXLloWOjg6sra3RunVrvHnzRkwTGRmJNm3awMHBAXp6ejAzM4ObmxtCQkLyzBcABEFAs2bNIJFIMGzYsHzTEhERFSetkq4A0X/NgQMH0K5dO3h4eGDGjBmIjo6Go6MjIiMjsXnzZsybN6+kq0hUJMuWLUN8fDxGjBiBatWq4fXr15g3bx4aNmyIw4cPo3nz5gXKZ82aNahSpYrCMXNzc6V05cqVQ2hoqMIxExMTpXTz589HzZo10a5dO6xevbpAdThw4AB2794NIyOjXM+3bdsWV65cQWBgIFxdXfH8+XP8+uuvcHNzw61bt+Do6AgAuHv3Lho1aoTKlStjwYIFsLCwwKlTp/Drr7/i6tWr2LNnj5hnfHw8WrdujVq1asHU1BSPHz/GrFmz0KBBA1y9ehWVK1cGAKSnp6NZs2ZISEjA1KlTUa1aNTx48ABTpkzB4cOHce/ePRgaGgLICY5DQ0NRu3Zt+Pr6YtOmTXnec1JSEjw9PfHixQtMmDABNWvWRGJiIs6dO6fwBcHr16/RsGFDGBkZYdq0abCzs8OmTZsQHByMiIgIXL16FRoaOd/pX7lyBbt374aLiwu8vLywb9++PMt/8eIFmjZtCi0tLfzyyy+oWLEi4uLicOLECWRkZIjp3r59izJlyuDbb79F6dKlkZycjNDQUAQEBCAqKgo///xzrvkvWbIEjx49yrN8IiIiVWHQTfSFBQUFwcnJCYcPH4YgCDh48CB8fX3Ro0cPBAUFlXT1iIpsyZIlsLKyUjjWqlUrVKhQATNmzChw0F2jRg24uroqHZfJZArv9fT00LBhw0/m9/79ezEI3LBhwyfTJyYmYtCgQZg2bRoWLlyodP7Ro0c4deoUfv75Z4wbN048XqFCBTRq1Ag7d+7EqFGjAAAbN25EWloaduzYgfLlywMAmjdvjpiYGKxYsQIJCQkwNTUFAEydOlWhHHd3dzRs2BDVqlVDaGgofv31VwDA6dOn8fDhQ6xatQr9+vUDkNPzb2RkBH9/f4SHh6Njx44AgGbNmuH169cAcgLg/ILun3/+Gffu3cPNmzdRrlw58Xi7du0U0u3Zswfx8fHYsmULvLy8IJPJkJKSgnLlyuGXX37BjRs34OLiAgAICAhAr169AADbt2/PN+geMmQI0tPTceXKFfGZAECnTp0U0nl4eMDDw0PhmJ+fH548eYIVK1bkGnRHRUVh4sSJWL9+vVJ+REREqsbh5URfWHx8PCwsLKClpfydlzwwyM/SpUuhpaWFKVOmiMfCw8Ph5eUFIyMj6Ovro3Hjxjh27Jh4/s6dO5BIJNi2bZt47OrVq5BIJKhevbpC/u3atUPdunXF9/Ih7mFhYahTpw709PRQpUqVXHsMY2NjMWjQINjb20MqlcLJyQlTp05FZmamQrply5ahVq1aKFWqFAwNDVGlShX89NNP4vmUlBSMHTsWTk5O0NXVhZmZGVxdXfMNGKjkfRxwA0CpUqVQrVo1PHv2rARqlKMgP1cfGjNmDGxtbTF8+PBcz2trawMAjI2NFY7Le9l1dXULlFZDQwNSqTTfulhaWgKAwu+LwpRf0HtPSUnBqlWr0LVrV4WAOzeqKD8qKgp79+7FgAEDFALuwsjr9yoADBw4EN7e3uKXEURERF8Sg26iL8zNzQ0XL17E8OHDcenSJaWANC+CIGDs2LEYOXIkVq1aJfaKhYSEoGXLljAyMsK6deuwdetWmJmZwcfHRwy8q1evDltbW4SHh4v5hYeHQ09PD3fv3sWLFy8AAJmZmYiIiECLFi0Uyr5x4wbGjBmDUaNGYc+ePahZsyb69euHU6dOiWliY2NRv359HD58GJMnT8ahQ4fQr18/zJw5EwMGDBDTbd68GUOGDIG7uzt27dqF3bt3Y9SoUUhOThbTjB49GsuWLcPw4cMRFhaGDRs2oGvXrgrzRaOiogo1P5dKRmJiIq5du6b05U5+/Pz8oKmpCTMzM3Tq1Am3b9/ONd3ff/8NMzMzaGlpoXz58pg0aRJSU1M/q77h4eFYv349Vq1aBU1NzVzTODo6on379pg/fz5OnDiBpKQk3L9/H8OHDxfnYcv16tULJiYmGDx4MB4/foz3799j//79WL58OYYOHQoDAwOl/LOyspCeno779++jf//+sLKyQp8+fcTzjRs3Rt26dREYGIjLly8jKSkJ165dw08//YQ6deoo/fwWxNWrV5GcnIyKFSti8ODBMDU1hVQqhaurKw4cOKCQtkOHDnBwcMCYMWNw584dJCUl4c6dO5gzZw7atm2LqlWrFrr806dPQxAE2NnZ4dtvv0WpUqWgq6sLDw8PnD9/PtdrsrOzkZmZidevX2Pp0qU4fPgwxo8fr5Ru1apVuHTpEhYvXlzoehERERUHDi8n+sJmzZqF+/fvY9GiRVi0aBG0tLRQr149tGvXDsOGDUOpUqWUrklNTUVAQADCw8Nx6NAheHl5AcjpnRoxYgT8/Pywa9cuMb2vry/q1KmDn376CRcvXgQAeHl5KQXdPXr0wPbt2xEeHo6ePXvi0qVLePfundIf7XFxcTh79iwcHBwA5AxZPXbsGDZu3IhmzZoBAAIDA5GQkIA7d+6I6by8vKCnp4exY8di3LhxqFatGs6ePQsTExP88ccfYv7y+5E7e/YsWrZsKQ7RBYA2bdoopJFIJNDU1MwzMCL1MHToUCQnJ2PSpEmfTGtjY4NJkyaJ84Vv3bqFWbNmoWHDhjh79iyqVasmpm3SpAm++eYbVKlSBampqTh06BCCgoJw5swZnDhxotC920DOnOYBAwZg7NixqFWrVr5pt23bhqFDhyoMma9ZsyYiIiIUemrLli2L8+fPiwsnyg0fPhwLFizINW8DAwOkp6cDACpVqoSTJ0+iTJky4nktLS2cOHEC3333HerXry8e9/DwwI4dO8Se6ML4559/AACzZ8+Gs7Mz1q9fDw0NDcybNw9t27bFoUOH4OPjAyCnh/vChQvo3LkzatSoIebRuXNnpTn2hS1/7Nix8PT0xI4dO5CcnIypU6eiefPmuHjxImrWrKlwzZAhQ7B8+XIAgFQqxR9//IFBgwYp5Tt27FgEBQXBzs6uSHUjIiL6XOzpJvrCzM3Ncfr0aVy+fBm//fYb6tevj4cPH2LixIlwdnZGXFycQvr4+Hg0b94cly5dwpkzZxQC1HPnzuHNmzfo1asXMjMzxVd2djZatWqFy5cviz3IXl5eePz4MZ48eYK0tDScOXMGrVq1gqenJ44ePQogJxDX0dFBkyZNFOpQu3ZtMZAGcoaPVqpUCdHR0eKx/fv3w9PTE3Z2dgp1ad26NQAgIiICAFC/fn28ffsW3377Lfbs2aN0v/I0hw4dwoQJE3Dy5Mlcey8dHR2RmZmJ4ODgQj1/+jyCICi0b34jNX755ReEhoZi/vz5ClMW8tKqVStMnz4dfn5+aNasGYYOHYrTp09DIpFg8uTJCmmnT5+OwYMHw9PTE76+vli0aBFmzZqFU6dOKSxOVhgTJkyAtra2Ulm5GTx4MHbs2IH58+cjIiICW7ZsgVQqRfPmzRV+LqKiotC2bVuYm5tj+/btiIiIQFBQENauXYv+/fvnmve5c+dw/vx5hISEwNDQEJ6engormMtkMnzzzTeIjIzEypUrcerUKaxbtw7//PMPvL29kZiYWOh7z87OBpATvB46dAht27ZFmzZtsH//ftja2mLatGli2oSEBLRv3x7v3r1DaGgojh8/jkGDBuHcuXNo165dgUfv5Fa+vb09duzYAR8fH3Tq1AlhYWHQ0NDIdb2Ln376CZcvX8aBAwfQt29fDBs2DHPnzlVI8/3336NWrVoKo22IiIi+tBINuk+dOoW2bdvCzs4OEokEu3fvVjif19Yxc+bMEdPktm3Mh0P7gJw/EAICAmBsbAxjY2MEBATg7du3X+AOifLm6uqKcePG4ccff0R0dDRGjRqFqKgopT8u//rrL1y8eBGtW7dW6FUCgJcvXwIAunTpAm1tbYXX7NmzIQiCuNWOvPc6PDwcZ86cgUwmQ/PmzdGiRQtxGHp4eDgaN24MPT09hXJyWzlaR0dHIRh++fIl9u3bp1QP+bBieXAdEBCA1atXIzo6Gp07d4aVlRUaNGggBv5AztZJ48ePx+7du+Hp6QkzMzN06NBBadsi+vIiIiKU2jgqKkop3dSpUzF9+nT89ttvn7U9U9myZdGkSRNcuHDhk2l79OgBAAVK+7FLly5h6dKlCAoKQlpaGt6+fYu3b9+KQ5jfvn0r9j6HhYUhODgYy5cvx8iRI9GsWTN069YNR48exZs3bxAYGCjmO2HCBLx79w6HDx9G586d0axZM4wbNw4LFizA6tWrxS+jPlSnTh00bNgQ3333HU6cOAFBEBTWPAgODsahQ4ewc+dO9O/fH02bNkXPnj0RFhaGa9eu5dmDnh/5z3ijRo3Elc8BQF9fH+7u7rh27Zp4bPbs2YiMjMTRo0fh7++PJk2aoHXr1li3bh2OHDlSpN5uefktWrRQGL1ia2uLWrVqKZQv5+DgAFdXV/j6+mLZsmUYOHAgJk6cKC4ct337doSFhSEoKAiJiYlimwJARkYG3r59q7Q4HxERkSqUaNCdnJyMWrVq5TnPKiYmRuG1evVqSCQSdO7cWSHdgAEDFNLJh5vJ+fv7IzIyEmFhYQgLC0NkZCQCAgJUdl9EhaWtrS0ujPbx/FU3NzesWbMGwcHBGDRokNgjBOQsHAQAixYtwuXLl3N9WVtbA8jpQapUqRLCw8Nx9OhRuLq6wsTEBF5eXoiJicHFixdx4cKFIs0HldelZcuWedZDvsoyAPTp0wfnzp1DYmIiDhw4AEEQ4OfnJ/YQGhgYYOrUqbh//z5iY2OxbNkyXLhwAW3bti1S3aj41K1bV6ltPx62O3XqVAQGBiIwMFAhWCwqQRAKNVy8KEPL7969C0EQ0LFjR5iamoqvZ8+e4fDhwzA1NcWyZcsA5OwTDQD16tVTyMPExAQVKlRQ+BmOjIxEtWrVlOZuy6/Na766nHyhwb/++kshT01NTdSpU0chbbly5WBubv7JPHPz8dDtD338/CMjI1G6dGnY2toqpJOvOK/q8vNSv359ZGZm4vHjx2I9MjMz0bBhQ4U2BYCVK1fC1NRUab46ERGRKpTonO7WrVuLQ09zY2Njo/B+z5498PT0VFpZVV9fXymt3L179xAWFoYLFy6gQYMGAHL+Z+vm5oYHDx6I+54SfSkxMTFKf6wCOZ9VALnOO+zVqxcMDAzg7++P5ORkrFu3DpqammjcuDFMTExw9+7dAvUmtmjRAlu3bkWZMmXEOdKVKlWCg4MDJk+eDJlMVuSg28/PDwcPHkT58uULvPqwgYEBWrdujYyMDHTo0AF37twR9zeWs7a2Ru/evXHjxg0sWLAAKSkp0NfXL1Id6fMZGhrmup2X3LRp0xAYGIiff/5ZYYX9onry5AnOnj1boM/lunXrAKBA24h9rFWrVjhx4oTS8e7du8PJyQkzZ85EhQoVAPzvZ/TChQsKn9f4+Hj89ddfClNA7OzscPv2bSQlJSms1yBfHMze3j7fesXFxeHWrVto3LixQp5ZWVm4fPmy+P81IGdUTHx8/CfzzI2trS3c3Nxw9uxZvHv3TtyfPCUlBREREQrP1M7ODseOHcM///yD0qVLi8flIwyKUn6DBg1gb2+PI0eOICsrS+ztfvHiBW7cuAF/f/9P5iGfyy//G6F3795KW4sBgKenJzp06IARI0YojR4iIiJSha9mIbWXL1/iwIED4h9VHwoNDUVISAisra3RunVrTJkyRRwed/78eRgbGyv8YdKwYUMYGxvj3LlzeQbd6enp4lBCAHj37h2AnLl0X+NwNHmdv8a6/9u0bNkS9vb2aNOmDcqXL48bN27g7t27WLRoEUqVKoUhQ4YotJMgCJDJZGjfvj22b9+O7t27Izk5GSEhIdDR0cH8+fPRr18/xMXFoVOnTrCyssLr169x8+ZNxMXFKYwkcXd3x9KlSxEXF4e5c+eK5Xh6emLdunUwNTVFzZo1lT4n8jp8fAz432fql19+wdGjR+Hm5oZhw4ahUqVKSEtLQ3R0NMLCwrB48WLY29vj+++/h56eHtzc3GBra4vY2FgEBQXB2NgYtWvXhkwmQ+PGjeHr6wtnZ2eYmpri/v372LBhAxo2bAhtbW3IZDJER0ejSpUqCAgIwIoVK4q1jfjzUjTz58/H5MmT4ePjAx8fH5w5c0bh/Ie/hwcOHIgNGzbg/v37YuDaqlUrNGnSBM7OzjAyMsLt27cxb948cU63vD1OnjyJuXPnon379nByckJaWhoOHz6MVatWwdPTE61atVJou1OnTolDjrOyshAVFYXNmzcDyFkU0NLSEubm5gqBrZx8yzr5OZlMhrZt28LR0RGDBw9GdHQ0XFxcEBMTg99//x0pKSkYOnSoWP6wYcPQpUsXtGjRAsOHD4eFhQUuXryIoKAgVK1aFS1atIBMJkNiYiJat26N7t27o0KFCtDT08PDhw+xaNEipKenY9KkSWKePXr0wPz589G5c2dMnDgRlSpVwpMnTzB79mwYGBigX79+Cve/Y8cOADlfYAA5Q+nl23p9OHJs1qxZ8Pb2RsuWLTF27FhIJBIsWLAAcXFxmDJlipjnoEGDEBoaihYtWmDcuHGwtbXF/v37sWfPHlhbW6Nbt25i2pSUFBw6dEgsFwCOHz+O2NhYGBgYoFWrVmL5c+bMgb+/P9q1a4eBAwciOTkZM2bMgFQqxdixY8U8Bw8eDCMjI7i6usLa2hpxcXHYsWMHtm3bhtGjR8PExAQymQylS5dW+FLgQ7a2tgpt+m/E32Pqie2intguBZOdnQ09PT1oSgCJkKXy8jQl/ytXXdumoPWSCPK/nEuYRCLBrl270KFDh1zPBwUFYdasWXjx4oXCHqArV66Ek5MTbGxscPv2bUycOBEVKlQQ54fOmDEDa9euVRiaB+T07vXp0wcTJ07MtbzAwEBxS6YPbdy4kb1s9FnOnDmDS5cu4dGjR3jz5g0yMzNhamqK6tWro3PnzgqrFA8YMACOjo74+eefxWO3bt3Cb7/9hmrVqmH8+PHQ0dHBnTt3sGvXLjx48ACpqakwNjaGk5MTmjdvjkaNGonXJiUloWfPnpBKpQgJCRH3tI2IiMD8+fPRsGFDTJgwQaG+udUBgLga9W+//SYee/fuHbZu3YrLly8jPj4eenp6sLKyQp06ddC5c2fo6urixIkTOH78OJ49e4akpCQYGRmhatWq6Nq1K8qWLQsA2LBhA27cuIHY2Fikp6fDzMwMDRo0QJcuXcQeuJcvX2LQoEHw9PTEiBEjiqFl6HNNmjRJYcGvj324bsfChQtx4sQJLF++XJwCERwcjMjISMTFxSEjIwPGxsZwdnZGt27dFIKnmJgYrFq1ClFRUXj37h0kEglsbW3RpEkTdOjQQWn17vzqNW3aNDg7O+dZ57w+/wkJCdi2bRuuX7+O+Ph4lCpVCuXKlUPXrl2Vvsy9desWduzYgejoaCQnJ8PCwgL16tVD586dxc+zTCbDihUrcO/ePcTFxUEmk8HExAQ1atRAly5dFH4vyJ/Bli1bcPfuXSQkJMDExASVK1fGN998o5Q2r/+vAlBaS+Xu3bsIDQ3Fo0ePAOT8v/K7775DlSpVFNI9fvwYW7duxcOHD/Hu3TuYmZmhZs2a6Natm7i3OPC/n9PcWFpaYuXKlQrHLl68iO3btyM6OhpaWlqoUaMGAgICFO7p2LFjOHbsGJ4/f47k5GTo6uqibNmy8Pb2zrVn+2MdOnSAr68vBg4c+Mm0RERE+UlJSYG/vz8SExPF/6fn5qsJuqtUqQJvb28sWrQo33yuXr0KV1dXXL16FXXq1MGMGTOwbt06PHjwQCFdxYoV0a9fP6UAQy63nu4yZcogLi4u3weqrmQyGY4ePQpvb+8ibSdDqsF2UU9sF/XEdlFPbBf1xHZRT2wX9cR2KZgbN26gWbNmGDYvFHblq3z6gs/08vF9NLTVgK2tLVxcXFReXlG8e/cOFhYWnwy6v4rh5adPn8aDBw+wZcuWT6atU6cOtLW18fDhQ9SpUwc2NjbiCs8fev36tdi7khsdHR3o6OgoHZev1vu1+trr/2/FdlFPbBf1xHZRT2wX9cR2UU9sF/XEdsmfhoYGUlNTkSUAgkTz0xd8pizhf+Wqa7sUtF5fxT7dwcHBqFu3LmrVqvXJtHfu3IFMJhMXqnJzc0NiYqI4lwzIGb6WmJioMOyWiIiIiIiIqLiVaE93UlKSOG8MyFnkJTIyEmZmZnBwcACQ02W/bds2zJs3T+n6v//+G6GhofD19YWFhQXu3r2LMWPGwMXFRVwgpWrVqmjVqhUGDBggbiU2cOBA+Pn5ceVyIiIiIiIiUqkS7em+cuUKXFxcxDH6o0ePhouLCyZPniym2bx5MwRBwLfffqt0vVQqxbFjx+Dj44PKlStj+PDhaNmyJcLDw8XtRoCc1c2dnZ3RsmVLtGzZEjVr1sSGDRtUf4NERERERET0n1aiPd0eHh741DpuAwcOzHOF0TJlyiAiIuKT5ZiZmSEkJKRIdSQiIiIiIiIqqq9iTjcRERERERHR14hBNxEREREREZGKMOgmIiIiIiIiUhEG3UREREREREQqwqCbiIiIiIiISEUYdBMRERERERGpCINuIiIiIiIiIhVh0E1ERERERESkIgy6iYiIiIiIiFSEQTcRERERERGRijDoJiIiIiIiIlIRBt1EREREREREKsKgm4iIiIiIiEhFGHQTERERERERqQiDbiIiIiIiIiIVYdBNREREREREpCIMuomIiIiIiIhUhEE3ERERERERkYow6CYiIiIiIiJSEQbdRERERERERCrCoJuIiIiIiIhIRRh0ExEREREREakIg24iIiIiIiIiFWHQTURERERERKQiDLqJiIiIiIiIVIRBNxEREREREZGKMOgmIiIiIiIiUhEG3UREREREREQqwqCbiIiIiIiISEUYdBMRERERERGpCINuIiIiIiIiIhVh0E1ERERERESkIgy6iYiIiIiIiFSEQTcRERERERGRijDoJiIiIiIiIlIRBt1EREREREREKsKgm4iIiIiIiEhFGHQTERERERERqQiDbiIiIiIiIiIVYdBNREREREREpCIMuomIiIiIiIhUhEE3ERERERERkYow6CYiIiIiIiJSEQbdRERERERERCrCoJuIiIiIiIhIRRh0ExEREREREakIg24iIiIiIiIiFWHQTURERERERKQiDLqJiIiIiIiIVIRBNxEREREREZGKMOgmIiIiIiIiUpESDbpPnTqFtm3bws7ODhKJBLt371Y437t3b0gkEoVXw4YNFdKkp6fjhx9+gIWFBQwMDNCuXTs8f/5cIU1CQgICAgJgbGwMY2NjBAQE4O3btyq+OyIiIiIiIvqvK9GgOzk5GbVq1cLixYvzTNOqVSvExMSIr4MHDyqcHzlyJHbt2oXNmzfjzJkzSEpKgp+fH7KyssQ0/v7+iIyMRFhYGMLCwhAZGYmAgACV3RcRERERERERAGiVZOGtW7dG69at802jo6MDGxubXM8lJiYiODgYGzZsQIsWLQAAISEhKFOmDMLDw+Hj44N79+4hLCwMFy5cQIMGDQAAK1euhJubGx48eIDKlSsX700RERERERER/T+1n9N98uRJWFlZoVKlShgwYABevXolnrt69SpkMhlatmwpHrOzs0ONGjVw7tw5AMD58+dhbGwsBtwA0LBhQxgbG4tpiIiIiIiIiFShRHu6P6V169bo2rUrHB0d8eTJE/zyyy9o3rw5rl69Ch0dHcTGxkIqlcLU1FThOmtra8TGxgIAYmNjYWVlpZS3lZWVmCY36enpSE9PF9+/e/cOACCTySCTyYrj9r4oeZ2/xrr/m7Fd1BPbRT2xXdQT20U9sV3UE9tFPbFdCiY7Oxt6enrQlAASIevTF3wmTcn/ylXXtilovdQ66P7mm2/Ef9eoUQOurq5wdHTEgQMH0KlTpzyvEwQBEolEfP/hv/NK87GZM2di6tSpSsePHDkCfX39gt6C2jl69GhJV4FywXZRT2wX9cR2UU9sF/XEdlFPbBf1xHb5tE2bNuX8I/UvlZflZJszKFu+tpc6SklJKVA6tQ66P2ZrawtHR0c8fPgQAGBjY4OMjAwkJCQo9Ha/evUKjRo1EtO8fPlSKa/Xr1/D2to6z7ImTpyI0aNHi+/fvXuHMmXKoGXLljAyMiquW/piZDIZjh49Cm9vb2hra5d0dej/sV3UE9tFPbFd1BPbRT2xXdQT20U9sV0K5saNG2jWrBmGzQuFXfkqKi/v5eP7aGirAVtbW7i4uKi8vKKQj4b+lK8q6I6Pj8ezZ89ga2sLAKhbty60tbVx9OhRdOvWDUDONyG3b99GUFAQAMDNzQ2JiYm4dOkS6tevDwC4ePEiEhMTxcA8Nzo6OtDR0VE6rq2t/VX/MH7t9f+3YruoJ7aLemK7qCe2i3piu6gntot6YrvkT0NDA6mpqcgSAEGiqfLysoT/lauu7VLQepVo0J2UlIRHjx6J7588eYLIyEiYmZnBzMwMgYGB6Ny5M2xtbREVFYWffvoJFhYW6NixIwDA2NgY/fr1w5gxY2Bubg4zMzOMHTsWzs7O4mrmVatWRatWrTBgwAAsX74cADBw4ED4+flx5XIiIiIiIiJSqRINuq9cuQJPT0/xvXw4d69evbBs2TLcunUL69evx9u3b2FrawtPT09s2bIFhoaG4jXz58+HlpYWunXrhtTUVHh5eWHt2rXQ1Pzfty+hoaEYPny4uMp5u3bt8t0bnIiIiIiIiKg4lGjQ7eHhAUEQ8jx/+PDhT+ahq6uLRYsWYdGiRXmmMTMzQ0hISJHqSERERERERFRUar9PNxEREREREdHXikE3ERERERERkYow6CYiIiIiIiJSEQbdRERERERERCrCoJuIiIiIiIhIRRh0ExEREREREakIg24iIiIiIiIiFWHQTURERERERKQiDLqJiIiIiIiIVIRBNxEREREREZGKMOgmIiIiIiIiUhEG3UREREREREQqwqCbiIiIiIiISEUYdBMRERERERGpCINuIiIiIiIiIhVh0E1ERERERESkIgy6iYiIiIiIiFSEQTcRERERERGRijDoJiIiIiIiIlIRBt1EREREREREKsKgm4iIiIiIiEhFGHQTERERERERqQiDbiIiIiIiIiIVYdBNREREREREpCIMuomIiIiIiIhUhEE3ERERERERkYow6CYiIiIiIiJSEQbdRERERERERCrCoJuIiIiIiIhIRRh0ExEREREREakIg24iIiIiIiIiFWHQTURERERERKQiDLqJiIiIiIiIVIRBNxEREREREZGKMOgmIiIiIiIiUhEG3UREREREREQqwqCbiIiIiIiISEUYdBMRERERERGpCINuIiIiIiIiIhVh0E1ERERERESkIgy6iYiIiIiIiFSEQTcRERERERGRijDoJiIiIiIiIlIRBt1ERERERESkMmmyLNx6noj3abKSrkqJ0CrpChAREREREdG/V/i9l/j7dTI0H0pQs7QxXMuaQl/63wlF/zt3SkRERERERF/Um+QM/P06GQCQlS3g+rO3uP0iEXUcTOHqaAotzX//4Ot//x0SERERERFRibj2NAEA4GRhgPa17WBpqANZloCLT97g/OP4Eq7dl8Ggm4iIiIiIiIpdcnom7se8BwC4OpqirLkBvq1XBs0qWgAAHr5KgiAIJVnFL4JBNxERERERERW7yGdvkSUIsDXWhZ2JHgBAIpGgRmljaEokeJ+Wibep//7F1Rh0ExERERERUbFKz8zCzX8SAeT0cn9IW1MDtia6AICn8SlfvG5fGoNuIiIiIiIiKla3/3mHjMxsmOprw8nCQOm8o5k+ACD6DYNuIiIiIiIiogLLWaU8ZwG1uo6mkEgkSmkczHOC7ucJKcjK/nfP6y7RoPvUqVNo27Yt7OzsIJFIsHv3bvGcTCbD+PHj4ezsDAMDA9jZ2aFnz5548eKFQh4eHh6QSCQKr+7duyukSUhIQEBAAIyNjWFsbIyAgAC8ffv2C9whERERERHRf8uD2PdITs+CgY4mKtsY5prGspQO9LQ1IcsSEJOY+oVr+GWVaNCdnJyMWrVqYfHixUrnUlJScO3aNfzyyy+4du0adu7cib/++gvt2rVTSjtgwADExMSIr+XLlyuc9/f3R2RkJMLCwhAWFobIyEgEBASo7L6IiIiIiIj+q+7E5Mzlrl3GBFoauYecEolE7O1++i8fYq5VkoW3bt0arVu3zvWcsbExjh49qnBs0aJFqF+/Pp4+fQoHBwfxuL6+PmxsbHLN5969ewgLC8OFCxfQoEEDAMDKlSvh5uaGBw8eoHLlysV0N0RERERERP9tmVnZeJmYDgCoYFkq37SOZvp4EPse0fEpaFT+S9SuZJRo0F1YiYmJkEgkMDExUTgeGhqKkJAQWFtbo3Xr1pgyZQoMDXOGMZw/fx7GxsZiwA0ADRs2hLGxMc6dO5dn0J2eno709HTx/bt37wDkDHuXyb6+Ze3ldf4a6/5vxnZRT2wX9cR2UU9sF/XEdlFPbBf1xHYpmOzsbOjp6UFTAkiErDzTxSamIksQYCDVhImuRr5pHU11AACv3qcjLT0DelJN8Zym5H/lqmvbFLReX03QnZaWhgkTJsDf3x9GRkbi8e+++w5OTk6wsbHB7du3MXHiRNy4cUPsJY+NjYWVlZVSflZWVoiNjc2zvJkzZ2Lq1KlKx48cOQJ9ff1iuKOS8fHoAVIPbBf1xHZRT2wX9cR2UU9sF/XEdlFPbJdP27RpU84/Uv/KM82D1xIAmqhsKEO5tIefzNNWXxMxKRKkvXyMahb/W1DNyTZnWLp8CrE6Skkp2LD4ryLolslk6N69O7Kzs7F06VKFcwMGDBD/XaNGDVSsWBGurq64du0a6tSpAwC5rpYnCEKux+UmTpyI0aNHi+/fvXuHMmXKoGXLlgpB/9dCJpPh6NGj8Pb2hra2dklXh/4f20U9sV3UE9tFPbFd1BPbRT2xXdQT26Vgbty4gWbNmmHYvFDYla+SZ7rbyS8ApMHY3ApP9D4dN9lZxCPmaSIuJxnDtMz/OktfPr6PhrYasLW1hYuLS3HcQrGTj4b+FLUPumUyGbp164YnT57g+PHjnwx469SpA21tbTx8+BB16tSBjY0NXr58qZTu9evXsLa2zjMfHR0d6OjoKB3X1tb+qn8Yv/b6/1uxXdQT20U9sV3UE9tFPbFd1BPbRT2xXfKnoaGB1NRUZAmAINHMNU1WtoCY/5/PXdpUP890HypjZoCrTxPx9E0asqEhdoxmCf8rV13bpaD1Uut9uuUB98OHDxEeHg5zc/NPXnPnzh3IZDLY2toCANzc3JCYmIhLly6JaS5evIjExEQ0atRIZXUnIiIiIiL6L3n5Lg2Z2QL0tDVhZiAt0DWlTfSgqSFBUnom3iRnqLiGJaNEe7qTkpLw6NEj8f2TJ08QGRkJMzMz2NnZoUuXLrh27Rr279+PrKwscQ62mZkZpFIp/v77b4SGhsLX1xcWFha4e/cuxowZAxcXFzRu3BgAULVqVbRq1QoDBgwQtxIbOHAg/Pz8uHI5ERERERFRMfnnbc5+23YmuvlO5f2QlqYGSpvo4embFES/SYF5KeXRxl+7Eu3pvnLlClxcXMQx+qNHj4aLiwsmT56M58+fY+/evXj+/Dlq164NW1tb8XXu3DkAgFQqxbFjx+Dj44PKlStj+PDhaNmyJcLDw6Gp+b+hDKGhoXB2dkbLli3RsmVL1KxZExs2bCiReyYiIiIiIvo3kgfdpU30CnWdo1nOQtXP/qX7dZdoT7eHhwcEQcjzfH7nAKBMmTKIiIj4ZDlmZmYICQkpdP2IiIiIiIjo07KzBcS8TQMA2JsWbrcna2NdAED8v3R4uVrP6SYiIiIiIiL19zopHRlZ2ZBqacC8VMHmc8uZ6ucsSPY+LROZWdmqqF6JYtBNREREREREn0Wcz22sC40CzueW09PWhFQrJzR9myor9rqVNAbdRERERERE9Fn+ScgJugs7tBwAJBKJ2NudkPLvG2LOoJuIiIiIiIiKTBAEvCjiImpypvo5Q9LfprCnm4iIiIiIiEgUn5yBtMxsaGtKYGlYtC2/TNjTTURERERERKRMPrTc1lgPmhqFm88tx55uIiIiIiIiolwUdX/uD8mDbvZ0ExEREREREX0gJjFnf+7PCbqN9XKGl6fJspEqyyqWeqkLBt1ERERERERUJCkZmUhKzwSAIs/nBgCplgZK6WgBAN7+y3q7GXQTERERERFRkbx+nw4AMNXXFvfaLqr/Lab275rXzaCbiIiIiIiIiuTV/wfdn9PLLfe/xdTY001EREREREQk9nQXR9DNnm4iIiIiIiKiD8h7uq0MdT87r3/rCuYMuomIiIiIiKjQ0jOzkJia0ytdPMPLc3q636bIIAifnZ3aYNBNREREREREhRb3PqdHupSOFvS0NT87PyNdbWhIgKxsASn/ol3DGHQTERERERFRob16n7M/t1Ux9HIDgIaGRNyv+71MUix5qgMG3URERERERFRoxbmImpx8Xvf7TAbdRERERERE9B/2Kkm+iFrxBd3yFcyT/us93U+ePCnuehAREREREdFXIjMrG2+Sc+Z0q6Sn+78edFeoUAGenp4ICQlBWlpacdeJiIiIiIiI1FhccgYEAdDT1kQpHa1iy1fe0/2fH15+48YNuLi4YMyYMbCxscGgQYNw6dKl4q4bERERERERqaEP53NLJMUXIMt7upMzgczsYsu2RBUp6K5RowZ+//13/PPPP1izZg1iY2PRpEkTVK9eHb///jtev35d3PUkIiIiIiIiNaGKRdQAQF+qCammBgAJ4v4lg6o/ayE1LS0tdOzYEVu3bsXs2bPx999/Y+zYsbC3t0fPnj0RExNTXPUkIiIiIiIiNVHc24XJSSQScYj5q7R/xxDzzwq6r1y5giFDhsDW1ha///47xo4di7///hvHjx/HP//8g/bt2xdXPYmIiIiIiEgNZGcLiEsq/kXU5MSgO7XYsy4RRZrx/vvvv2PNmjV48OABfH19sX79evj6+kJDIyeGd3JywvLly1GlSpVirSwRERERERGVrISUDGRlC9DWlMBET7vY85fP636V+u/o6S5S0L1s2TL07dsXffr0gY2NTa5pHBwcEBwc/FmVIyIiIiIiIvXySj6fu1TxLqImJw+6X/9LhpcXKeh++PDhJ9NIpVL06tWrKNkTERERERGRmlLVImpy/5vTrZLsv7gizeles2YNtm3bpnR827ZtWLdu3WdXioiIiIiIiNSTPOi2MtRVSf6m+lJUMMyCT+lsZAuCSsr4kooUdM+aNQsWFhZKx62srDBjxozPrhQRERERERGpH0EAXiWptqdbqqWBOmZZaGYrQEMFw9e/tCIF3dHR0XByclI67ujoiKdPn352pYiIiIiIiEj9pGQBGZnZ0JAAZgbSkq7OV6FIQbeVlRVu3rypdPzGjRswNzf/7EoRERERERGR+knMyOl5NjOQQlPj6++F/hKKFHR3794dw4cPx4kTJ5CVlYWsrCwcP34cI0aMQPfu3Yu7jkRERERERKQGEmU5gbZFKdUMLf83KtLq5dOnT0d0dDS8vLygpZWTRXZ2Nnr27Mk53URERERERP9SDLoLr0hBt1QqxZYtWzBt2jTcuHEDenp6cHZ2hqOjY3HXj4iIiIiIiNREYkbOYGmLUpzPXVBFCrrlKlWqhEqVKhVXXYiIiIiIiEhNSbR0kJSZ82/2dBdckYLurKwsrF27FseOHcOrV6+QnZ2tcP748ePFUjkiIiIiIiJSD9oWDgAk0NPWhIHOZ/Xf/qcU6UmNGDECa9euRZs2bVCjRg1I/gV7pxEREREREVHepFY520aran/uf6siBd2bN2/G1q1b4evrW9z1ISIiIiIiIjWkbVkWAOdzF1aRtgyTSqWoUKFCcdeFiIiIiIiI1JS8p5vzuQunSEH3mDFjsHDhQgiCUNz1ISIiIiIiIjUjCMIHPd0MugujSMPLz5w5gxMnTuDQoUOoXr06tLW1Fc7v3LmzWCpHREREREREJS8+NRuaeoaQQICpgfanLyBRkYJuExMTdOzYsbjrQkRERERERGoo6q0MAGCoLUBLo0gDpv+zihR0r1mzprjrQURERERERGoqOjFng25jbU4xLqwif0WRmZmJ8PBwLF++HO/fvwcAvHjxAklJScVWOSIiIiIiIip58p5uYymD7sIqUk93dHQ0WrVqhadPnyI9PR3e3t4wNDREUFAQ0tLS8OeffxZ3PYmIiIiIiKiEsKe76IrU0z1ixAi4uroiISEBenp64vGOHTvi2LFjxVY5IiIiIiIiKllpsiy8eM+gu6iKvHr52bNnIZUqboru6OiIf/75p1gqRkRERERERCXv4cskZAtAVkoidDX1Pn0BKShST3d2djaysrKUjj9//hyGhoafXSkiIiIiIiJSD/di3wEAMl5FQSIp4cp8hYoUdHt7e2PBggXie4lEgqSkJEyZMgW+vr7FVTciIiIiIiIqYfdjchbOlr1+UsI1+ToVaXj5/Pnz4enpiWrVqiEtLQ3+/v54+PAhLCwssGnTpuKuIxEREREREZWQezHynm4G3UVRpKDbzs4OkZGR2LRpE65du4bs7Gz069cP3333ncLCakRERERERPT1EgQB9/9/eLnsdVTJVuYrVeR9uvX09NC3b18sXrwYS5cuRf/+/QsdcJ86dQpt27aFnZ0dJBIJdu/erXBeEAQEBgbCzs4Oenp68PDwwJ07dxTSpKen44cffoCFhQUMDAzQrl07PH/+XCFNQkICAgICYGxsDGNjYwQEBODt27dFuW0iIiIiIqL/jFfv05GQIoOGBMiIe1rS1fkqFamne/369fme79mzZ4HySU5ORq1atdCnTx907txZ6XxQUBB+//13rF27FpUqVcL06dPh7e2NBw8eiAu2jRw5Evv27cPmzZthbm6OMWPGwM/PD1evXoWmpiYAwN/fH8+fP0dYWBgAYODAgQgICMC+ffsKc9tERERERET/KXdf5PRylzbUwpMsWQnX5utUpKB7xIgRCu9lMhlSUlIglUqhr69f4KC7devWaN26da7nBEHAggULMGnSJHTq1AkAsG7dOlhbW2Pjxo0YNGgQEhMTERwcjA0bNqBFixYAgJCQEJQpUwbh4eHw8fHBvXv3EBYWhgsXLqBBgwYAgJUrV8LNzQ0PHjxA5cqVi/IIiIiIiIiI/vXu/v987rImWjhTwnX5WhUp6E5ISFA69vDhQwwePBjjxo377EoBwJMnTxAbG4uWLVuKx3R0dODu7o5z585h0KBBuHr1KmQymUIaOzs71KhRA+fOnYOPjw/Onz8PY2NjMeAGgIYNG8LY2Bjnzp3LM+hOT09Henq6+P7du/+fxyCTQSb7+r7hkdf5a6z7vxnbRT2xXdQT20U9sV3UE9tFPbFd1BPbJX+3n78FAJQ11oKenh40JYBEUN4+urhp/v/WZNnZ2WrbNgWtV5GC7txUrFgRs2bNQo8ePXD//v3Pzi82NhYAYG1trXDc2toa0dHRYhqpVApTU1OlNPLrY2NjYWVlpZS/lZWVmCY3M2fOxNSpU5WOHzlyBPr6+oW7GTVy9OjRkq4C5YLtop7YLuqJ7aKe2C7qie2intgu6ontkrurf2sCkKBUZuL/dqpK/Uvl5TrZ5iw/FhMTg5iYGJWXVxQpKSkFSldsQTcAaGpq4sWLF8WZJSQf7b4uCILSsY99nCa39J/KZ+LEiRg9erT4/t27dyhTpgxatmwJIyOjglZfbchkMhw9ehTe3t7Q1tYu6erQ/2O7qCe2i3piu6gntot6YruoJ7aLemK75C05PRMjLxwHALiWt0Hblh4YNi8UduWrqLzsl4/vo6GtBmxtbeHi4qLy8opCPhr6U4oUdO/du1fhvSAIiImJweLFi9G4ceOiZKnExsYGQE5Pta2trXj81atXYu+3jY0NMjIykJCQoNDb/erVKzRq1EhM8/LlS6X8X79+rdSL/iEdHR3o6OgoHdfW1v6qfxi/9vr/W7Fd1BPbRT2xXdQT20U9sV3UE9tFPbFdlP39IgmCAFgb6cBUXwupqanIEgBBoqnysrOEnP9qaGiobbsUtF5FCro7dOig8F4ikcDS0hLNmzfHvHnzipKlEicnJ9jY2ODo0aPiNxsZGRmIiIjA7NmzAQB169aFtrY2jh49im7dugHIGX5w+/ZtBAUFAQDc3NyQmJiIS5cuoX79+gCAixcvIjExUQzMiYiIiIiISJF8EbVqtl/fSF91UqSgOzs7u1gKT0pKwqNHj8T3T548QWRkJMzMzODg4ICRI0dixowZqFixIipWrIgZM2ZAX18f/v7+AABjY2P069cPY8aMgbm5OczMzDB27Fg4OzuLq5lXrVoVrVq1woABA7B8+XIAOVuG+fn5ceVyIiIiIiKiPMi3C6tmZwSgYPOXSVmxzukurCtXrsDT01N8L59D3atXL6xduxY//vgjUlNTMWTIECQkJKBBgwY4cuSIuEc3AMyfPx9aWlro1q0bUlNT4eXlhbVr14p7dANAaGgohg8fLq5y3q5dOyxevPgL3SUREREREdHXR97TXdXWCMhk0F1URQq6P1xg7FN+//33PM95eHhAEIQ8z0skEgQGBiIwMDDPNLq6uli0aBEWLVqUZxozMzOEhIQUqL5ERERERET/dZlZ2bj/wfDyt8/y3vmJ8lekoPv69eu4du0aMjMzxSHaf/31FzQ1NVGnTh0x3adWGSciIiIiIiL1ExWfjPTMbOhLNeFoboC3z0q6Rl+vIgXdbdu2haGhIdatWyeuGp6QkIA+ffqgadOmGDNmTLFWkoiIiIiIiL6cuzHvAQBVbAyhqcHO1M+hUZSL5s2bh5kzZyps02Vqaorp06cX2+rlREREREREVDIUF1Gjz1GkoPvdu3e57n396tUrvH///rMrRURERERERCXnf9uFGZdwTb5+RQq6O3bsiD59+mD79u14/vw5nj9/ju3bt6Nfv37o1KlTcdeRiIiIiIiIviD2dBefIs3p/vPPPzF27Fj06NEDMpksJyMtLfTr1w9z5swp1goSERERERHRl/PqfRriktKhIQEqWxt++gLKV5GCbn19fSxduhRz5szB33//DUEQUKFCBRgYGBR3/YiIiIiIiOgLkvdyO1kYQE+qWcK1+foVaXi5XExMDGJiYlCpUiUYGBjku+c2ERERERERqT9xPrcd53MXhyIF3fHx8fDy8kKlSpXg6+uLmJgYAED//v25XRgREREREdFXTJzPbcv53MWhSEH3qFGjoK2tjadPn0JfX188/s033yAsLKzYKkdERERERERf1r0YLqJWnIo0p/vIkSM4fPgw7O3tFY5XrFgR0dHRxVIxIiIiIiIi+rJSMjLxOC4ZAHu6i0uRerqTk5MVerjl4uLioKOj89mVIiIiIiIioi/vQex7CAJgaagDS0PGdsWhSEF3s2bNsH79evG9RCJBdnY25syZA09Pz2KrHBEREREREX05t/5JBP6vvfuOj6rO9z/+PlMyKYRACGmUAKEXhQUsiIKF4Kpgu+qqq6Cuq1dgF1HXvovurvWKBVfUvf7QFRG3gOUqalBEkWVVkGoo0kIgIQTS65Tv748kI6EGyGQmk9fz8ZhHZs75nnM+kw9JeM9pkgZwaHmTOaHDy59++mmNHj1a3333nWpqavS73/1O69ev1/79+/X11183dY0AAAAAgGawJqc2dJ/SuV1wCwkjJ7Snu3///lqzZo1OO+00jRkzRuXl5briiiv0/fffKz09valrBAAAAAA0gzU5RZKkUzpxu7Cmctx7ut1utzIyMvTKK6/okUceCURNAAAAAIBmVl7t0Y/5ZZKkUzoTupvKce/pdjqdWrdunSzLCkQ9AAAAAIAgWL+7RD4jJbeNVGLbyGCXEzZO6PDyG2+8Ua+99lpT1wIAAAAACBL/oeXs5W5SJ3QhtZqaGv3v//6vMjMzNWzYMMXExDSYP2PGjCYpDgAAAADQPH66iBqhuykdV+jeunWrunXrpnXr1ulnP/uZJGnTpk0NxnDYOQAAAAC0PPW3C+PK5U3ruEJ3r169lJubq8WLF0uSrrnmGr3wwgtKSkoKSHEAAAAAgMArrnRrW0G5JGkQVy5vUsd1TrcxpsHrhQsXqry8vEkLAgAAAAA0r3V1e7m7xkerfUxEkKsJLyd0IbV6B4dwAAAAAEDLs7ruImqDOJ+7yR1X6LYs65BztjmHGwAAAABatrV1F1E7ldDd5I7rnG5jjCZOnCiXyyVJqqqq0u23337I1cvnz5/fdBUCAAAAAAKq/srlgzq1C24hYei4QveECRMavP7lL3/ZpMUAAAAAAJpXQVm1dhVVyrKkgZ3aBrucsHNcoXv27NmBqgMAAAAAEAT1h5b3SIhRbKQzyNWEn5O6kBoAAAAAoGVb4z+fu11wCwlThG4AAAAAaMXWcOXygCJ0AwAAAEArZYzRmrp7dJ/Cnu6AIHQDAAAAQCuVV1KlvaXVstss9U/hImqBQOgGAAAAgFaq/nzu3kmxioqwB7ma8EToBgAAAIBWamV2oSTpVM7nDhhCNwAAAAC0Ut9trw3dw7rFB7mS8EXoBgAAAIBWqMrt9d+je1ha+yBXE74I3QAAAADQCq3bVawar08JbSKU1iE62OWELUI3AAAAALRC39YfWp4WL8uyglxN+CJ0AwAAAEArtGLHfknSsG4cWh5IhG4AAAAAaGV8PqMVO2r3dA/lfO6AInQDAAAAQCuztaBMhRVuuRw2DUjldmGBROgGAAAAgFam/lZhg7u0U4SDWBhIfHcBAAAAoJX5bkf9/bk5tDzQCN0AAAAA0MrUn889LC0+yJWEP0I3AAAAALQie0urta2gXJYl/awre7oDjdANAAAAAK1I/V7u3omxiot2Brma8EfoBgAAAIBWpP7+3EM5n7tZELoBAAAAoBX5dnv9+dyE7uZA6AYAAACAVqLK7dX63cWSpOHduIhacyB0AwAAAEArsXpnkdxeo8RYlzq3jwp2Oa0CoRsAAAAAWokD789tWVaQq2kdCN0AAAAA0Eos21IgSTqNQ8ubTciH7m7dusmyrEMekyZNkiRNnDjxkHlnnHFGg3VUV1drypQpSkhIUExMjMaPH6+cnJxgvB0AAAAACIoqt9d/EbWRvToGuZrWI+RD97fffqvc3Fz/IzMzU5J01VVX+cdceOGFDcZ89NFHDdYxdepULViwQPPmzdPSpUtVVlamSy65RF6vt1nfCwAAAAAEy3fbC1Xj8Sm5baTSO8YEu5xWwxHsAo6lY8eGn8A88cQTSk9P16hRo/zTXC6XkpOTD7t8cXGxXnvtNb355pu64IILJElz5sxRly5dtGjRIo0dOzZwxQMAAABAiFj6Y+2h5SN6duB87mYU8nu6D1RTU6M5c+bo5ptvbvCP5IsvvlBiYqJ69+6tW2+9Vfn5+f55K1askNvtVkZGhn9aamqqBg4cqGXLljVr/QAAAAAQLPXnc4/smRDkSlqXkN/TfaB3331XRUVFmjhxon/az3/+c1111VVKS0vTtm3b9PDDD+u8887TihUr5HK5lJeXp4iICLVv3/DG70lJScrLyzvitqqrq1VdXe1/XVJSIklyu91yu91N+8aaQX3NLbH2cEZfQhN9CU30JTTRl9BEX0ITfQlNraUvRRVurd1Ve3/u09Lijvv9+nw+RUVFyW5Jlgn8abp266fthmpvGluXZYwxAa6lyYwdO1YRERH64IMPjjgmNzdXaWlpmjdvnq644grNnTtXN910U4MALUljxoxRenq6Xn755cOuZ/r06XrkkUcOmT537lxFR0ef3BsBAAAAgGa0ap+l2ZvsSo4yun8w17ZqChUVFbruuutUXFystm3bHnFci9nTvWPHDi1atEjz588/6riUlBSlpaVp8+bNkqTk5GTV1NSosLCwwd7u/Px8jRgx4ojruf/++zVt2jT/65KSEnXp0kUZGRlH/YaGKrfbrczMTI0ZM0ZOpzPY5aAOfQlN9CU00ZfQRF9CE30JTfQlNLX0vuTk5Gjfvn3HHPfhnhJJlfpZp2h16nT8eWbjxo269dZbNfmZt5Sa3vcEKj0+e7Zu0BkpNqWkpGjIkCEB396JqD8a+lhaTOiePXu2EhMTdfHFFx913L59+7Rz506lpKRIkoYOHSqn06nMzExdffXVkmr3hq9bt05PPfXUEdfjcrnkcrkOme50OlvkD2O9ll5/uKIvoYm+hCb6EproS2iiL6GJvoSmltiX7OxsDRg4UJUVFcccm3rrq3LGp+r1J+7XrC3fnPA2i0vLlGLZT3j5xvLWHY9ts9lCti+NratFhG6fz6fZs2drwoQJcjh+KrmsrEzTp0/XlVdeqZSUFG3fvl0PPPCAEhISdPnll0uS4uLidMstt+iuu+5Shw4dFB8fr7vvvluDBg3yX80cAAAAAFqagoICVVZU6Pp7n1ZS1/Qjjiv3SB/vjpAlo19NvU/OE7icdtY3S7TwjedVVVV1EhW3Ti0idC9atEjZ2dm6+eabG0y32+1au3at/va3v6moqEgpKSk699xz9c477yg2NtY/7tlnn5XD4dDVV1+tyspKnX/++Xr99ddltwf+ExoAAAAACKSkrunq3GvAEeev210s7c5XclyUuvfpfULb2JO95UTLa/VaROjOyMjQ4a73FhUVpU8++eSYy0dGRmrmzJmaOXNmIMoDAAAAgJC1c3/t4edd4rkgdDC0qPt0AwAAAAAazxijnfsrJUld2xO6g4HQDQAAAABhqqCsRpVurxw2S8lxkcEup1UidAMAAABAmNpZWHtoeaf2UbLbrCBX0zoRugEAAAAgTO3YVxu6u3I+d9AQugEAAAAgDFV7vMqp29PdvUNMkKtpvQjdAAAAABCGsvdVyGekdtFOtY+JCHY5rRahGwAAAADC0JaCcklSekKbIFfSuhG6AQAAACDMeH1G2+tCd/eOHFoeTIRuAAAAAAgzucWVqvb4FOm0KYVbhQUVoRsAAAAAwszWvXV7uRNiZLO4VVgwEboBAAAAIIwYY7S17tDyHpzPHXSEbgAAAAAII/vLa1Rc6Zbdsrg/dwggdAMAAABAGKnfy905PkoRDiJfsNEBAAAAAAgj2/yHlnPV8lBA6AYAAACAMFFe7VFucZUkzucOFYRuAAAAAAgT2/bV7uVOjHWpTaQjyNVAInQDAAAAQNjYVnersB4dObQ8VBC6AQAAACAMVLu92rGvQhKHlocSQjcAAAAAhIEf95bJa4w6xEQooU1EsMtBHUI3AAAAAISBjXmlkqQ+ybGyLCvI1aAeoRsAAAAAWrjyao92FlZKknonxQa5GhyI0A0AAAAALdymPbV7uVPiIhUX5QxyNTgQoRsAAAAAWriNdaG7D3u5Qw6hGwAAAABasFK3tKekWpYl9UriquWhhtANAAAAAC1YTkVtrOsaH63oCEeQq8HBCN0AAAAA0IJll9slcWh5qCJ0AwAAAEALFZGUrjKPJbvNUnpHDi0PRYRuAAAAAGihovuPkiT1SIhRhIN4F4roCgAAAAC0QF6fUUy/2tDdJ5lDy0MVoRsAAAAAWqDvcqvliO0gl80orUN0sMvBERC6AQAAAKAF+uTHcklStzY+OWxEu1BFZwAAAACghdmxr1yr9tTIGJ+6t/EGuxwcBaEbAAAAAFqYuf/JliRVbV2pGG7NHdII3QAAAADQglS5vfr7dzslSaWrPgpyNTgWQjcAAAAAtCAfr8tTYYVbCdE2VW75Ltjl4BgI3QAAAADQgsxZvkOSNKZHtGR8Qa4Gx0LoBgAAAIAWYkNeib7bUSiHzdL53blNWEvAKfcAAAAA0EK8tbz2AmoZA5IUH2UFuRo0Bnu6AQAAAKAFKK1ya8H3uyRJvzw9LcjVoLEI3QAAAADQAry5fIfKqj3qmdhGZ6Z3CHY5aCRCNwAAAACEuMoar177apsk6Y7R6bIsDi1vKQjdAAAAABDi3vk2W/vKa9S5fZTGn5oa7HJwHAjdAAAAABDCajw+vfLlVknS7aPS5bAT41oSugUAAAAAIWzB9znKLa5SYqxL/zW0c7DLwXEidAMAAABAiPJ4fZr1xRZJ0q1n91Ck0x7kinC8CN0AAAAAEKI+Wpen7fsq1C7aqetO7xrscnACCN0AAAAAEIJ8PqOXFv8oSbppRHfFuBxBrggngtANAAAAACHoo3W52pBXqpgIuyaO6BbscnCCCN0AAAAAEGKq3F49sXCDJOnWc3ooLtoZ5IpwogjdAAAAABBiZn+9XTmFlUpuG6lfn9Mj2OXgJBC6AQAAACCE7C2t1l/qzuW+Z2wfRUdwLndLRugGAAAAgBDy7KJNKqv2aFCnOF0+pFOwy8FJCunQPX36dFmW1eCRnJzsn2+M0fTp05WamqqoqCiNHj1a69evb7CO6upqTZkyRQkJCYqJidH48eOVk5PT3G8FAAAAAI5pY16p5n2TLUl66OJ+stmsIFeEkxXSoVuSBgwYoNzcXP9j7dq1/nlPPfWUZsyYoRdffFHffvutkpOTNWbMGJWWlvrHTJ06VQsWLNC8efO0dOlSlZWV6ZJLLpHX6w3G2wEAAACAwzLG6E8f/iCfkS4ckKzTe3QIdkloAiF/coDD4Wiwd7ueMUbPPfecHnzwQV1xxRWSpDfeeENJSUmaO3eubrvtNhUXF+u1117Tm2++qQsuuECSNGfOHHXp0kWLFi3S2LFjm/W9AAAAAMCRLMrK11ebC+S0W7r/or7BLgdNJORD9+bNm5WamiqXy6XTTz9djz32mHr06KFt27YpLy9PGRkZ/rEul0ujRo3SsmXLdNttt2nFihVyu90NxqSmpmrgwIFatmzZUUN3dXW1qqur/a9LSkokSW63W263OwDvNLDqa26JtYcz+hKa6Etooi+hib6EJvoSmuhLaAqVvpRUuvXQgtqjeieemabUthHHrMnn8ykqKkp2S7JMYI/kddhtioqKksNmBXxbkmSvO6re5/MFvTdH0ti6LGOMCXAtJ2zhwoWqqKhQ7969tWfPHv3pT3/Shg0btH79em3cuFFnnXWWdu3apdTUVP8yv/71r7Vjxw598sknmjt3rm666aYG4VmSMjIy1L17d73yyitH3Pb06dP1yCOPHDJ97ty5io6Obro3CQAAAKDVe3uLTcvzbeoYafS7U7yKsAe7IhxLRUWFrrvuOhUXF6tt27ZHHBfSe7p//vOf+58PGjRIZ555ptLT0/XGG2/ojDPOkCRZVsMLCxhjDpl2sMaMuf/++zVt2jT/65KSEnXp0kUZGRlH/YaGKrfbrczMTI0ZM0ZOpzPY5aAOfQlN9CU00ZfQRF9CE30JTfQlNIVCX5b+uE/L/71CliW98MvTNCytfaOWW716tc455xxNfuYtpaYH9nD0VUsW6u/PPqRrH3hBg047K6DbkqQ9WzfojBSbUlJSNGTIkIBv70TUHw19LCEdug8WExOjQYMGafPmzbrsssskSXl5eUpJSfGPyc/PV1JSkiQpOTlZNTU1KiwsVPv27RuMGTFixFG35XK55HK5DpnudDpb9C/Jll5/uKIvoYm+hCb6EproS2iiL6GJvoSmYPWlrNqjh977QZI04cxuOrNnYqOXtdlsqqyslNdIxgrsrnGP16fKykp5fCbg25Ikb93x2DabLWR/XhpbV8hfvfxA1dXVysrKUkpKirp3767k5GRlZmb659fU1GjJkiX+QD106FA5nc4GY3Jzc7Vu3bpjhm4AAAAACLSnPt6gXUWV6hIfpd9d2CfY5SAAQnpP9913361x48apa9euys/P15/+9CeVlJRowoQJsixLU6dO1WOPPaZevXqpV69eeuyxxxQdHa3rrrtOkhQXF6dbbrlFd911lzp06KD4+HjdfffdGjRokP9q5gAAAAAQDP/esk9/+/cOSdITV5yi6IiQjmc4QSHd1ZycHF177bUqKChQx44ddcYZZ2j58uVKS0uTJP3ud79TZWWl7rjjDhUWFur000/Xp59+qtjYWP86nn32WTkcDl199dWqrKzU+eefr9dff112O1cmAAAAABAc+8trNPWd7yVJ157WVWf1TAhyRQiUkA7d8+bNO+p8y7I0ffp0TZ8+/YhjIiMjNXPmTM2cObOJqwMAAACA4+fzGd39j9XaU1Kt9I4xeviSfsEuCQHUos7pBgAAAICW7rWl2/T5hnxFOGx68bqfcVh5mCN0AwAAAEAzWbWzSE9+vEGS9PtL+qtfSsu7HTGODx+pAAAAAEATys7OVkFBwSHTy2t8uiuzQB6f0ZmdI9XPWaCVK/ed8HaysrJOpkw0E0I3AAAAADSR7Oxs9e3XT5UVFQfNsdTx8gcU3ftMuYvy9M5zv9W86vIm2WZZWVmTrAeBQegGAAAAgCZSUFCgyooKXX/v00rqmu6fvqHYpvXFDtlklNGng+JnvHnS28r6ZokWvvG8qqqqTnpdCBxCNwAAAAA0saSu6erca4Akace+cv2QvVuSdG7fJA3sFNck29iTvaVJ1oPA4kJqAAAAABAgJZVufbwuT0bSgNS2TRa40XIQugEAAAAgADxenz5cm6sqj0+JsS6N7t0x2CUhCAjdAAAAANDEjJE+35iv/NJqRTntuviUFDnsxK/WiHO6AQAAAKCJbSuzKauwVJakCwcmq22kM9glIUj4qAUAAAAAmlBEal+tKrRLkkb07KCu8dFBrgjBROgGAAAAgCZSVOVVx8vul5Glnh3baGjX9sEuCUFG6AYAAACAJuD2+vQ//y6SI7aDYh1GY/onybKsYJeFICN0AwAAAEATeGLhBv2wt0a+6gqd2dGtCAdxC4RuAAAAADhpH6/L1WtLt0mSCj58VrFcNw11CN0AAAAAcBJ27CvXPf9YI0m6rE+MKjf/O8gVIZQQugEAAADgBFW5vbrjrZUqrfZoWFp7XTcoNtglIcQQugEAAADgBP3x/37Q+t0lio+J0Mzrhshh48JpaIjQDQAAAAAn4L1Vu/TWf7JlWdKMq09VSlxUsEtCCCJ0AwAAAMBx2l5Qrgfmr5UkTT63p0b3SQxyRQhVhG4AAAAAOA5ur0+/nfe9ymu8Oq17vKZe0DvYJSGEEboBAAAA4Dg8m7lJq3OK1TbSoeeuGSw753HjKAjdAAAAANBIy7YUaNaSLZKkJ648RantOI8bR0foBgAAAIBGKCyv0bR3VssY6RfDu+iiQSnBLgktAKEbAAAAAI7BGKP75q9RXkmVeiTE6Pfj+ge7JLQQhG4AAAAAOIZ/fJejT9bvkdNu6YVrhyg6whHsktBCELoBAAAA4Ch27q/QIx+slyTdldFHAzvFBbkitCSEbgAAAAA4Aq/P6K5/rFZ5jVfDu7XXrWf3CHZJaGEI3QAAAABwBP9v6TZ9s22/YiLseuYqbg+G48eJCAAAAADCWnZ2tgoKCg47z+fzSZJWr14tm63hPskdxW49mVm73I2ntFHBjg0q2HH0bWVlZZ18wQgrhG4AAAAAYSs7O1t9+/VTZUXFYedHRUXp7bff1jnnnKPKysqfZtgcSrnxGUUkpavix29035OP6r7j2G5ZWdnJFY6wQegGAAAAELYKCgpUWVGh6+99Wkld0w+Zb687WnzyM2/Ja36avq7Iro0ldkXYjC4eNViR581v1PayvlmihW88r6qqqqYoH2GA0A0AAAAg7CV1TVfnXgMOmW4Zr1S5SanpfWUsuyRpV1GlNmXnSJLGDEhVz8Q2jd7OnuwtTVMwwgYXUgMAAACAOjUenz5dnycjqV9K7HEFbuBwCN0AAAAAUOfLzXtVUuVRbKRDo3p3DHY5CAOEbgAAAACQtGVvmdbvLpEkje2fLJfDHuSKEA4I3QAAAABavfIajz7LypckDU1rr07to4JcEcIFoRsAAABAq2aM9NmGAlW6vUpoE6EzesQHuySEEUI3AAAAgFZteb6lrQUVsluWxg5IlsNGTELT4V8TAAAAgFarqMKt+dtrY9GI9A5KaOMKckUIN4RuAAAAAK2Szxh9kpWvGp+lzu0iNaRru2CXhDBE6AYAAADQKq3YUajc4mpF2o0y+nWUZVnBLglhiNANAAAAoNXJL6nS8q37JEn/1d2ntlHOIFeEcEXoBgAAANCqVHu8+mhdnnxG6tUxRsMSTLBLQhgjdAMAAABoNYwxWpSVr+JKt2IjHTq/b4I4qhyBROgGAAAA0GqsySnWj/llslnSRQNTFOm0B7skhDlCNwAAAIBWIa+kSl9u3itJOrtXRyXHRQa5IrQGjmAXAAAAAACBVuOTPl2bK5+RenZso1M7xwW7JLQS7OkGAAAAEN4sm74pcKi0yqO4KKcu6J/I7cHQbAjdAAAAAMJa+/N+pT1VNjlsli4alCyXg/O40XwI3QAAAADC1sIfy9V22HhJUkb/JCXGch43mldIh+7HH39cw4cPV2xsrBITE3XZZZdp48aNDcZMnDhRlmU1eJxxxhkNxlRXV2vKlClKSEhQTEyMxo8fr5ycnOZ8KwAAAACa2Zeb9uq170skSQPiPOqVFBvkitAahXToXrJkiSZNmqTly5crMzNTHo9HGRkZKi8vbzDuwgsvVG5urv/x0UcfNZg/depULViwQPPmzdPSpUtVVlamSy65RF6vtznfDgAAAIBmsnlPqSa9tVI+I5Wt/Ux92vqCXRJaqZC+evnHH3/c4PXs2bOVmJioFStW6JxzzvFPd7lcSk5OPuw6iouL9dprr+nNN9/UBRdcIEmaM2eOunTpokWLFmns2LGBewMAAAAAmt3O/RWaOPtblVZ71C/BqY8/mSnr4rODXRZaqZAO3QcrLi6WJMXHxzeY/sUXXygxMVHt2rXTqFGj9Oc//1mJiYmSpBUrVsjtdisjI8M/PjU1VQMHDtSyZcuOGLqrq6tVXV3tf11SUntYitvtltvtbtL31Rzqa26JtYcz+hKa6Etooi+hib6EJvoSmuhL88gtrtJ1r32rXUWV6t4hWvecGaMlEU7ZLckyhx7pWj/tcPNOhMNuU1RUlBw2q8nW2dq2JUn2uovL+3y+kP2ZaWxdljHGBLiWJmGM0aWXXqrCwkJ99dVX/unvvPOO2rRpo7S0NG3btk0PP/ywPB6PVqxYIZfLpblz5+qmm25qEKAlKSMjQ927d9crr7xy2O1Nnz5djzzyyCHT586dq+jo6KZ9cwAAAABOWlG1NHO9XQXVlhJcRlMGeNXOFeyqEK4qKip03XXXqbi4WG3btj3iuBazp3vy5Mlas2aNli5d2mD6Nddc438+cOBADRs2TGlpafrwww91xRVXHHF9xpij3pvv/vvv17Rp0/yvS0pK1KVLF2VkZBz1Gxqq3G63MjMzNWbMGDmdzmCXgzr0JTTRl9BEX0ITfQlN9CU00ZfA2ltaretf+1YF1RXq3D5Kc28ZrpS4SK1evVrnnHOOJj/zllLT+x6ynGW86la1Rdsj02Wsk7+V2KolC/X3Zx/StQ+8oEGnnXXS62uN25KkPVs36IwUm1JSUjRkyJCAb+9E1B8NfSwtInRPmTJF77//vr788kt17tz5qGNTUlKUlpamzZs3S5KSk5NVU1OjwsJCtW/f3j8uPz9fI0aMOOJ6XC6XXK5DPxZzOp0t+pdkS68/XNGX0ERfQhN9CU30JTTRl9BEX5pe9r4KTXz9O23bV6FO7aL09q1nqEt87dGpNptNlZWV8hodNVQby94kodvj9amyslIen2mS9bXGbUmSt+54bJvNFrI/L42tK6SvXm6M0eTJkzV//nx9/vnn6t69+zGX2bdvn3bu3KmUlBRJ0tChQ+V0OpWZmekfk5ubq3Xr1h01dAMAAAAIfSt2FOryl77W1r3lSomL1NxbT/cHbiAUhPSe7kmTJmnu3Ll67733FBsbq7y8PElSXFycoqKiVFZWpunTp+vKK69USkqKtm/frgceeEAJCQm6/PLL/WNvueUW3XXXXerQoYPi4+N19913a9CgQf6rmQMAAABoeT5YvVt3/WO1ajw+DUhtq9cmDFdyXGSwywIaCOnQPWvWLEnS6NGjG0yfPXu2Jk6cKLvdrrVr1+pvf/ubioqKlJKSonPPPVfvvPOOYmN/uvH9s88+K4fDoauvvlqVlZU6//zz9frrr8tuD/xhEQAAAACals9n9JfFP+qZzE2SpAv6Jer5XwxRjCuk4w1aqZD+V3msC6tHRUXpk08+OeZ6IiMjNXPmTM2cObOpSgMAAAAQBLuLKnX3P1Zr2ZZ9kqSbz+quBy/uJ7vtyBdJBoIppEM3AAAAANR7b9UuPfzuOpVUeRTltGv6+P66ZnjXYJcFHBWhGwAAAEBIyy+p0h8/zNIHq3dLkgZ3aadnrxms7gkxQa4MODZCNwAAAICQVOX26q9fbtWsJVtUUeOV3WZpynk9NfncnnLYQ/pGTIAfoRsAAABASPH6jD5YvVtPfbxBu4urJElDurbT9HEDdGqXdsEtDjhOhG4AAAAAzS47O1sFBQUNptV4jZZsr9R7m8q0u9QrSUqItuvGU2J1VpdIefdu1cq9x7edrKyspioZOCGEbgAAAADNKjs7W3379VNlRYUkyRYZqzanjlXssPFytImXJHkrS1XyzXxlf/eeVnhqTnqbZWVlJ70O4EQQugEAAAA0q4KCAlVWVOjie/+i4ujO2lVhk0+1t/yKshv1ivWqe2eXHH2ulW649qS2lfXNEi1843lVVVU1RenAcSN0AwAAAGg2u4oq9c8fypR66ytap05S7c5uJca6NLhLO/VOim3Se27vyd7SZOsCTgShGwAAAEBAlVV79NHaXC1YuUv/3rpPkuSM7ySHZdQ3NU4DU+OU1DYyyFUCgUHoBgAAANDkfD6j5dv26Z/f5WjhujxVur3+eQM7RuiLN57SLb++Q936JAWxSiDwCN0AAAAAmszO/RX654oc/WtljnIKK/3TeyTE6MqhnXXp4FTlb9ugoXcvksN2RxArBZoHoRsAAADASamo8Wjh2jz9Y8VOLd+63z891uXQJaem6qphnTWkSztZVu252vnbglUp0PwI3QAAAAAOe9/sY8kt9eijH8u1eHulKtxGkmRJOiUpQud2i9bpnSLlcrilgm36/oBVc+9stCaEbgAAAKCVO/i+2ccS2f1najt0vKLSh/mnuQt3q3ztZypb97m2l+7V+41YD/fORmtA6AYAAABaufr7Zl9/79NK6pp+2DE+I+VU2LSxxKYSt61uqlFypFF6rFdJXRJknXqNpGuOuT3unY3WhNANAAAAQJKU1DVdnXsNaDDN7fVp3a5ifb+zSKVVHkmS025pQGqcTu0cp3bREce9He6djdaE0A0AAADgEG6vT2tzivXdjkL/7b6iI+wa3KWdBnWKU6TTHuQKgZaB0A0AAADAz+31aU1OsVYcELbbRjo0LC1e/VJi5bDbjrEGAAcidAMAAACQ5YzUxhKbPvp6uz9sx0U5Nbxbe/VNbiu7zQpyhUDLROgGAAAAWrGyao/mZ5Wp0+2vaV2RQ5JXcVFOndYtXn2SYwnbwEkidAMAAACtUGF5jWYv267Xv96mkiqP7NFxauMwGtE7WX2SYmUjbANNgtANAAAAtCL5JVX661db9dZ/slVRU3sYeadYu1bPfVKX3/EbdU1pG+QKgfBC6AYAAABagZ37K/TKl1v09+9yVOPxSZL6p7TV5PN6qmP1bp320BeyWb8JcpVA+CF0AwAAAGFs055Svbxki95btVten5EkDUtrr0nn9dTo3h1lWZZWrswNcpVA+CJ0AwAAAGHG4/VpUVa+/vbv7Vq2ZZ9/+tm9EjTp3J46vXu8LItztoHmQOgGAAAAwkRucaXmr9yluf/J1q6iSkmSzZIy+ifrv0en69Qu7YJbINAKEboBAACAFqzK7dWnP+zRP77bqaU/FsjUHkGu9tFO/eK0rvrlGWnq1C4quEUCrRihGwAAAAhR2dnZKigoOGR6tcdo1Z5q/Xtnpb7LrVaF2/jn9e8YofO6RemsLlFyOSq0Z2uW9hxjO1lZWU1cOYB6hG4AAAAgBGVnZ6tvv36qrKiQJNli2imq+1BFpQ9TVI9hskX8tPfaU5yvsnWfqXzdZ9pRlKeFJ7jNsrKyJqgcwIEI3QAAAEAI2pmbL5PYR2dd81uVOuNV7LY1mB9tN+oU7VOnaJ/iu7STNehKSVee0LayvlmihW88r6qqqiaoHMCBCN0AAABAkBljtKuoUmtzirUqp0j/2bpfa3OKlHTNH5UjSe7acYmxLnXrEKPuCTFKautqsiuQ78ne0iTrAXAoQjcAAADQjIwxyims0LpdxVq7q1hrcoq1blexCivch4z1FO9Rj5QE9e2WqrQO0YqO4L/vQEvDTy0AAAAQAD5f7d7rLXvLtHVvuTbvKdF3G22avvqLwwZsp91Sn+RYDeoUp2Fp8Yqp2K2fn3OJrvnLfHVOaRuEdwCgKRC6AQAAgEY6+GriNV6jggqv8su92lvu1d4Kr3aXebSrxKPcMo9qvAevwSbJLbsldY1zKL29U+nxTqW3dyotzimn3ZLkkZSvrOzNzffGAAQMoRsAAAA4gvJqj3YVVWpXYaXWbN2lPz07S4puL0dcouxtE+VoE3/U5Y3HLXfhbrn350gle/Tray/VzD89qNKcjdrqdeuLRtTAFcWBlo3QDQAAgBbtSPeybgy312hvhVd7yr3KL/Mov/553aOk2tdgfMzQSw9Zh90yinEYRdulaEft81inUazDKNoh2XqkSEqR3ZJO62h0+72PymsOWc0huKI4EB4I3QAAAGixDr6X9ZHYImPl7NBFzg6d677WPrfHJcqybEdd1ltVJm/xHnmK8+Up2avh55yvnuk91TbSodgopyIdtkZdRdwyXqlyk1LT+8pY9mOO54riQHggdAMAAKDFKigoUGVFha6/92kldU2X10glbktFNbWPErelUrelat+RQ/GBe6pj6vZU1+6xrn3ttEVI6qKsb7Zq4YJXlXzOMPVMbNN8bxJAi0boBgAAQItUUuXW+vxqxQ4br+yY3sraH6XC8hr5jnDodhuXQ/ExEbWP6Nqv7aKdio6wN2pPNXueAZwIQjcAAABCmjFGu4urtDGvROt3lWj97hKtzy3Wzv2VkqT483+t7HJJqpEkRTps6hjrUsdYlxLauBQfE6H20RGKcBz9MHIACARCNwAAAELGvrJqbdxTqo15pdrk/1qmsmrPYccnRNuVvWqphg4frp5pXZQQ61Ksy9GoPdcA0BwI3QAAAGg2FTUe7SqsVE7dbbh2FVUqp7BSuworlL2/QgVlNYddzmGz1KNjjPqntNWA1DgNSG2rfilttW3jOg39w5/V/4L56tyR86wBhB5CNwAAAJqEMUYllR7lFFUcFKhrn+8qqtT+8sOH6nqWJXWNj1bvpFj1SYpV7+RY9U2OVbcOMYc9PHxboN4MADQRQjcAAEArcDL3sj5Qpdun3DKv8so8yi/3am+FV3vrvuaXe1XpOfYNqGNdDnVqH6XO7aPUqV1U3fNodW4fpZ6JbRQdwX9RAYQPfqMBAACEucbey9rP7pQzvrOc8alytE+Vs32qHO1T5GifKkeb+GMu7i0vkq+sQMP791SXDjFKjLGrY7RdHWPsSoy2KybiwD3WNbUPd7E8+dKG/ON7b1lZWce3AAA0M0I3AABAmDv4Xtb1jJHKPLX3tS5xWyqusanYbanMI0lHvhBZhM2ojf9+1lK0vfa+1tF197rO/uEHvfv6Y3ov8G/Nr6ysrBm3BgCNR+gGAAAIc8YY2WLaSR17Kt+Von1lNSooq9b+8hp5jnBTa5fDpvbRtfexbhflVLvoCMVFO9U+yimX037U7e3Lqb2f9cW3Pag+pwxt6rfTQNY3S7TwjedVVVUV0O0AwIkidAMAAISRkiq3Nuwu0r/3WFrx4QZtzi/X+l2F6jJ5jpbulbS34XnddpulDjER6tAmQgkxrtqvbVyKjrCf9G23OqSmqXOvASe1jmPZk70loOsHgJNF6AYAAGhhjDHaV16jH/PLtDm/TFvyy7Q5v1Q/5pdpT0l13Si7tDX7p2V8XsVG2JTcPlYd2kT4w3VclFM27mkNAAFD6AYAAAhBxhjll1Zrx74K7dhXruz9FbXP99e+LqpwH3HZpLYutbcqddbA7uqX2k6mcJeu+fk5uvP5eercK6UZ3wUAgNANAAAQBOXVHq3csFU/7t6nfRVe7av0qqDCp32Vtbfg2lPuUY33yMtbkhJj7Orc1qEubR3qVP811qEoh7RrV7k6pVTJZuUra8+PMp6j3x8bABAYrSp0v/TSS3r66aeVm5urAQMG6LnnntPZZ58d7LIAAMBR1N9f2hgjn5Fslk76XOMjSUhIUNeuXY9rGbfXp4oarypqPCqvrv1aWOFWYXmN9pXX+L/uL69WYblb+8qrlV9ardIqzzHXbXxeeUv2yl2UJ09RrjyFtV/dRbny7N+t7Z5qfXOY5aKiovT222/rnHPOUWVlpX86V/gGgObXakL3O++8o6lTp+qll17SWWedpVdeeUU///nP9cMPPxz3H1cAABqjPiwejTFGbp9U7TGq9hpVeYyqPUZVXt8h06q9dfM8RjVeI6+RfMbI65OcES65oqLl9Rl5fD55fUaSJZsl2SxLNptkyZJV/7ruq1X33PK/llQ3ztJP0yzVBl3LkspKS/1Xivb6fCopten//t9X8knyGcnrq63NayTfYZ57fLXh2VtXu7dumcNN8/iMqqprJJtdlq3hFbONz1t7zytjZIyv7rlPMj4Z//P6eT7J55Xx1X31v/bWzfPJGK9skgYMGCCnM0LeupBvVPt99pmf3l99X6o8Rh7fif8b8VWXq43LoTaRTkXbjaLsUpTDKMpeezuuGIdks+IlxUvq3+j12us+k5j8zFvyGq7wDQDB1GpC94wZM3TLLbfoV7/6lSTpueee0yeffKJZs2bp8ccfD3J1ABB4vroA4/H55PEZeb1G7rpw5vEaf1jz1L32+Iy8Pp//ucdn5POZA8KH8e95rJ9W+9rI56ubLx1+jO+nafsLC1VWVu4PN1J9wPvpLsE2q3a5khJLq/75b9lsVoMx/kBYt7Ctfp514LosxbWNVUJCgj9I2uoWsB0QOG11C9UH07q1+oNs7ffFyO396bXHa1Tl9qrS7a39WuPV3sJizfvnAvksuyynSzaHS5az7uFwyeaM/Om17ei3X2qcSklFTbCeE2Gr235gWI6Iw08/4PvWlPu9NxdL0vEfim28bvlqqmTcVfJVlclbUSxfZUnt14pieStLfvpaXiRPaYFMTaV+/eTf1HfI6U34DiTLeKXKTUpN7ytj2bnCNwAEUasI3TU1NVqxYoXuu+++BtMzMjK0bNmyIFXVtEqq3Jq9dLuKi4tUUVFxyPz6/6wue/vrJjskLyYmWnFx7Y57uUAcENjURxkWFRX7v48HrvvgzRzvPKtuRn1I8BmjkmJLWz5eo4SEDg3m16/DktUgONSup3bCgUGjfp6vbm/SkYLRvv2FKi0rk6nbY3NgKDL1yx+wR+dor83h5qnha4/XK1m2BmOPx/EMNz6fZNmObwOHW48xcrvtmrnh8wY/LwfWYnw+Wbajb8sc53s9Gp/PJ9tB26v/fv601/CA5/V7F30/7TlswnKCyC6p9CSWL5K0s2lKaYSofqOOa7xNRnZLcthq91Q6LCO7//mhry3LyCapcM8urVu26Kc9t/V7b6W6XyS22t8t9T8fda9l2Wr/jR84RtYBv2zqflvVjamdWju297CzFdeho+yS0tpa2lnq8y/i/9BDdYeCN3ht/L8D/XvYD3ptqX4dRlvXfKMv/vGa/mva4xo0/Mzaeo1kZOp3cv/0XLU/v7VfGz6v/V140Fcd8PvPGG1e862+evdN/WzMlUpN637ABzo65LnDkuw2U9sXW+3r2g9xXHWPOEmdjtpv9j4DQOvQKkJ3QUGBvF6vkpKSGkxPSkpSXl7eYZeprq5WdXW1/3VxcbEkaf/+/XK7j3y10GDJLa7UMx+uasTIvYEuBSdi41ZJW4NdBQ4RuD13ocR4PZLPc8Bht/WH2x4Q4Hw+GZ+nLtUceMiuUd3HNT/Nk2lwaO9Ph//WjfVP+2n5hE5pioqKObQ2SfUfW1k2KTW+rXbtL5Gv/nDeuj3VDT4QOeAjsAOXr66qVMn+vT8FyfpH3SHWtdNtB33CZfN/8GL834e674856PvjqZHxVNd9rX0uj1v9hp+tjolJ/hBts3RAsDZySLI1CG3Hb/P+H+Reu1BDM65Ualr6ia2kkXI2/6Dvv/g/deyTpPROkbJb0vAONn3r9sl7sp/s1P9zOkCEu1ROd6nKdm9S/sbIk9zA4fk/BNi9Vr4dKxRXfZaSbYnHrvWAi5z56h7HxedRZGSk9uX8qO1ro4936aOyW1JSsk3ZW1fKa6T9u7cHbFuH05zba0nbOrgvgd7e8WjN/0aOty8nu72mFK7bkqTCvGxVtOumkpIS7du3L+DbOxGlpbU7Aswx9rRY5lgjwsDu3bvVqVMnLVu2TGeeeaZ/+p///Ge9+eab2rBhwyHLTJ8+XY888khzlgkAAAAAaGF27typzp07H3F+q9jTnZCQILvdfshe7fz8/EP2fte7//77NW3aNP9rn8+n/fv3q0OHDgG7YmoglZSUqEuXLtq5c6fatm0b7HJQh76EJvoSmuhLaKIvoYm+hCb6EproS2hqCX0xxqi0tFSpqalHHdcqQndERISGDh2qzMxMXX755f7pmZmZuvTSSw+7jMvlksvlajCtXbt2gSyzWbRt2zZk/9G2ZvQlNNGX0ERfQhN9CU30JTTRl9BEX0JTqPclLi7umGNaReiWpGnTpumGG27QsGHDdOaZZ+rVV19Vdna2br/99mCXBgAAAAAIU60mdF9zzTXat2+fHn30UeXm5mrgwIH66KOPlJaWFuzSAAAAAABhqtWEbkm64447dMcddwS7jKBwuVz6wx/+cMgh8wgu+hKa6Etooi+hib6EJvoSmuhLaKIvoSmc+tIqrl4OAAAAAEAw2IJdAAAAAAAA4YrQDQAAAABAgBC6AQAAAAAIEEJ3GHv88cdlWZamTp3qn2aM0fTp05WamqqoqCiNHj1a69evD16RrcSuXbv0y1/+Uh06dFB0dLQGDx6sFStW+OfTl+bn8Xj00EMPqXv37oqKilKPHj306KOPyufz+cfQl8D78ssvNW7cOKWmpsqyLL377rsN5jemB9XV1ZoyZYoSEhIUExOj8ePHKycnpxnfRfg5Wl/cbrfuvfdeDRo0SDExMUpNTdWNN96o3bt3N1gHfWl6x/p5OdBtt90my7L03HPPNZhOX5peY/qSlZWl8ePHKy4uTrGxsTrjjDOUnZ3tn09fmt6x+lJWVqbJkyerc+fOioqKUr9+/TRr1qwGY+hL03v88cc1fPhwxcbGKjExUZdddpk2btzYYEw4/u0ndIepb7/9Vq+++qpOOeWUBtOfeuopzZgxQy+++KK+/fZbJScna8yYMSotLQ1SpeGvsLBQZ511lpxOpxYuXKgffvhBzzzzjNq1a+cfQ1+a35NPPqmXX35ZL774orKysvTUU0/p6aef1syZM/1j6EvglZeX69RTT9WLL7542PmN6cHUqVO1YMECzZs3T0uXLlVZWZkuueQSeb3e5nobYedofamoqNDKlSv18MMPa+XKlZo/f742bdqk8ePHNxhHX5resX5e6r377rv6z3/+o9TU1EPm0Zemd6y+bNmyRSNHjlTfvn31xRdfaPXq1Xr44YcVGRnpH0Nfmt6x+nLnnXfq448/1pw5c5SVlaU777xTU6ZM0XvvvecfQ1+a3pIlSzRp0iQtX75cmZmZ8ng8ysjIUHl5uX9MWP7tNwg7paWlplevXiYzM9OMGjXK/Pa3vzXGGOPz+UxycrJ54okn/GOrqqpMXFycefnll4NUbfi79957zciRI484n74Ex8UXX2xuvvnmBtOuuOIK88tf/tIYQ1+CQZJZsGCB/3VjelBUVGScTqeZN2+ef8yuXbuMzWYzH3/8cbPVHs4O7svhfPPNN0aS2bFjhzGGvjSHI/UlJyfHdOrUyaxbt86kpaWZZ5991j+PvgTe4fpyzTXX+P+2HA59CbzD9WXAgAHm0UcfbTDtZz/7mXnooYeMMfSlueTn5xtJZsmSJcaY8P3bz57uMDRp0iRdfPHFuuCCCxpM37Ztm/Ly8pSRkeGf5nK5NGrUKC1btqy5y2w13n//fQ0bNkxXXXWVEhMTNWTIEP31r3/1z6cvwTFy5Eh99tln2rRpkyRp9erVWrp0qS666CJJ9CUUNKYHK1askNvtbjAmNTVVAwcOpE/NqLi4WJZl+Y/goS/B4fP5dMMNN+iee+7RgAEDDplPX5qfz+fThx9+qN69e2vs2LFKTEzU6aef3uBQZ/oSHCNHjtT777+vXbt2yRijxYsXa9OmTRo7dqwk+tJciouLJUnx8fGSwvdvP6E7zMybN08rV67U448/fsi8vLw8SVJSUlKD6UlJSf55aHpbt27VrFmz1KtXL33yySe6/fbb9Zvf/EZ/+9vfJNGXYLn33nt17bXXqm/fvnI6nRoyZIimTp2qa6+9VhJ9CQWN6UFeXp4iIiLUvn37I45BYFVVVem+++7Tddddp7Zt20qiL8Hy5JNPyuFw6De/+c1h59OX5pefn6+ysjI98cQTuvDCC/Xpp5/q8ssv1xVXXKElS5ZIoi/B8sILL6h///7q3LmzIiIidOGFF+qll17SyJEjJdGX5mCM0bRp0zRy5EgNHDhQUvj+7XcEuwA0nZ07d+q3v/2tPv300wbnCR3MsqwGr40xh0xD0/H5fBo2bJgee+wxSdKQIUO0fv16zZo1SzfeeKN/HH1pXu+8847mzJmjuXPnasCAAVq1apWmTp2q1NRUTZgwwT+OvgTfifSAPjUPt9utX/ziF/L5fHrppZeOOZ6+BM6KFSv0/PPPa+XKlcf9PaYvgVN/cc5LL71Ud955pyRp8ODBWrZsmV5++WWNGjXqiMvSl8B64YUXtHz5cr3//vtKS0vTl19+qTvuuEMpKSmHHC16IPrSdCZPnqw1a9Zo6dKlh8wLt7/97OkOIytWrFB+fr6GDh0qh8Mhh8OhJUuW6IUXXpDD4fB/YnTwJ0D5+fmHfJqEppOSkqL+/fs3mNavXz//VUuTk5Ml0Zfmds899+i+++7TL37xCw0aNEg33HCD7rzzTv9RIvQl+BrTg+TkZNXU1KiwsPCIYxAYbrdbV199tbZt26bMzEz/Xm6JvgTDV199pfz8fHXt2tX/f4AdO3borrvuUrdu3STRl2BISEiQw+E45v8D6Evzqqys1AMPPKAZM2Zo3LhxOuWUUzR58mRdc801+p//+R9J9CXQpkyZovfff1+LFy9W586d/dPD9W8/oTuMnH/++Vq7dq1WrVrlfwwbNkzXX3+9Vq1apR49eig5OVmZmZn+ZWpqarRkyRKNGDEiiJWHt7POOuuQWyFs2rRJaWlpkqTu3bvTlyCoqKiQzdbwV6DdbvfvlaAvwdeYHgwdOlROp7PBmNzcXK1bt44+BVB94N68ebMWLVqkDh06NJhPX5rfDTfcoDVr1jT4P0BqaqruueceffLJJ5LoSzBERERo+PDhR/1/AH1pfm63W263+6j/D6AvgWGM0eTJkzV//nx9/vnn6t69e4P5Yfu3PxhXb0PzOfDq5cYY88QTT5i4uDgzf/58s3btWnPttdealJQUU1JSErwiw9w333xjHA6H+fOf/2w2b95s3nrrLRMdHW3mzJnjH0Nfmt+ECRNMp06dzP/93/+Zbdu2mfnz55uEhATzu9/9zj+GvgReaWmp+f777833339vJJkZM2aY77//3n8V7Mb04PbbbzedO3c2ixYtMitXrjTnnXeeOfXUU43H4wnW22rxjtYXt9ttxo8fbzp37mxWrVplcnNz/Y/q6mr/OuhL0zvWz8vBDr56uTH0JRCO1Zf58+cbp9NpXn31VbN582Yzc+ZMY7fbzVdffeVfB31pesfqy6hRo8yAAQPM4sWLzdatW83s2bNNZGSkeemll/zroC9N77//+79NXFyc+eKLLxr8/aioqPCPCce//YTuMHdw6Pb5fOYPf/iDSU5ONi6Xy5xzzjlm7dq1wSuwlfjggw/MwIEDjcvlMn379jWvvvpqg/n0pfmVlJSY3/72t6Zr164mMjLS9OjRwzz44IMNQgN9CbzFixcbSYc8JkyYYIxpXA8qKyvN5MmTTXx8vImKijKXXHKJyc7ODsK7CR9H68u2bdsOO0+SWbx4sX8d9KXpHevn5WCHC930pek1pi+vvfaa6dmzp4mMjDSnnnqqeffddxusg740vWP1JTc310ycONGkpqaayMhI06dPH/PMM88Yn8/nXwd9aXpH+vsxe/Zs/5hw/NtvGWNMoPaiAwAAAADQmnFONwAAAAAAAULoBgAAAAAgQAjdAAAAAAAECKEbAAAAAIAAIXQDAAAAABAghG4AAAAAAAKE0A0AAAAAQIAQugEAAAAACBBCNwAACJrp06dr8ODBwS4DAICAIXQDABDC8vLyNGXKFPXo0UMul0tdunTRuHHj9Nlnn/nHdOvWTZZlybIsRUdHa+DAgXrllVf8871erx5//HH17dtXUVFRio+P1xlnnKHZs2f7x3z55ZcaN26cUlNTZVmW3n333aPW9cwzzyguLk4VFRWHzKuqqlK7du00Y8aMk/8GAADQwhG6AQAIUdu3b9fQoUP1+eef66mnntLatWv18ccf69xzz9WkSZMajH300UeVm5urNWvW6LLLLtPtt9+ud955R1Lt3uTnnntOf/zjH/XDDz9o8eLFuvXWW1VYWOhfvry8XKeeeqpefPHFRtV24403qrKyUv/6178Omfevf/1LFRUVuuGGG07i3QMAEB4sY4wJdhEAAOBQF110kdasWaONGzcqJiamwbyioiK1a9dOUu2e7qlTp2rq1Kn++b1799bQoUP19ttva/Dgwbr88sv1hz/8oVHbtSxLCxYs0GWXXXbUcVdeeaX279+vxYsXN5h+/vnnq3379vrnP/+pe++9VwsWLFBOTo6Sk5N1/fXX6/e//72cTqek2g8E3n33Xa1atUqSNHr0aA0ePFjPPfecf32XXXaZ2rVrp9dff12SVFNTo4ceekhvvfWWioqKNHDgQD355JMaPXp0o94fAADNiT3dAACEoP379+vjjz/WpEmTDgnckvyB+0giIyPldrslScnJyfr888+1d+/eJq3xlltu0ZIlS7Rt2zb/tO3bt2vx4sW65ZZbJEmxsbF6/fXX9cMPP+j555/XX//6Vz377LMntd2bbrpJX3/9tebNm6c1a9boqquu0oUXXqjNmzef1HoBAAgEQjcAACHoxx9/lDFGffv2Pa7lPB6PXn/9da1du1bnn3++JGnGjBnau3evkpOTdcopp+j222/XwoULT7rGsWPHKjU11b8HWpJmz56t1NRUZWRkSJIeeughjRgxQt26ddO4ceN011136e9///sJb3PLli16++239Y9//ENnn3220tPTdffdd2vkyJENzlEHACBUELoBAAhB9Wd/WZbVqPH33nuv2rRpo6ioKE2aNEn33HOPbrvtNklS//79tW7dOi1fvlw33XST9uzZo3HjxulXv/rVSdVot9s1YcIEvf766/L5fDLG6I033tDEiRNlt9slSf/85z81cuRIJScnq02bNnr44YeVnZ19wttcuXKljDHq3bu32rRp438sWbJEW7ZsOan3AwBAIDiCXQAAADhUr169ZFmWsrKyjnlutSTdc889mjhxoqKjo5WSknJIWLfZbBo+fLiGDx+uO++8U3PmzNENN9ygBx98UN27dz/hOm+++WY9/vjj+vzzzyVJ2dnZuummmyRJy5cv1y9+8Qs98sgjGjt2rOLi4jRv3jw988wzR1yfzWbTwZebqT9MXpJ8Pp/sdrtWrFjhD/b12rRpc8LvAwCAQCF0AwAQguLj4zV27Fj95S9/0W9+85ujXkhNkhISEtSzZ89Gr79///6Saq9afjLS09M1atQozZ49W8YYjR49Wunp6ZKkr7/+WmlpaXrwwQf943fs2HHU9XXs2FG5ubn+116vV+vWrdO5554rSRoyZIi8Xq/y8/N19tlnn1TtAAA0B0I3AAAh6qWXXtKIESN02mmn6dFHH9Upp5wij8ejzMxMzZo1S1lZWY1az3/913/prLPO0ogRI5ScnKxt27bp/vvvV+/evf3njJeVlenHH3/0L7Nt2zatWrVK8fHx6tq161HXf8stt+jWW2+VJP3v//6vf3rPnj2VnZ2tefPmafjw4frwww+1YMGCo67rvPPO07Rp0/Thhx8qPT1dzz77rIqKivzze/fureuvv1433nijnnnmGQ0ZMkQFBQX6/PPPNWjQIF100UWN+p4AANBcOKcbAIAQ1b17d61cuVLnnnuu7rrrLg0cOFBjxozRZ599plmzZjV6PWPHjtUHH3ygcePGqXfv3powYYL69u2rTz/9VA5H7efv3333nYYMGaIhQ4ZIkqZNm6YhQ4bo97///THXf+WVV8rlcsnlcumKK67wT7/00kt15513avLkyRo8eLCWLVumhx9++KjruvnmmzVhwgTdeOONGjVqlLp37+7fy11v9uzZuvHGG3XXXXepT58+Gj9+vP7zn/+oS5cujf6eAADQXLhPNwAAAAAAAcKebgAAAAAAAoTQDQAAAABAgBC6AQAAAAAIEEI3AAAAAAABQugGAAAAACBACN0AAAAAAAQIoRsAAAAAgAAhdAMAAAAAECCEbgAAAAAAAoTQDQAAAABAgBC6AQAAAAAIEEI3AAAAAAAB8v8BJpbP1yEH96kAAAAASUVORK5CYII=",
+      "text/plain": [
+       "<Figure size 1000x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(10, 6))\n",
+    "sns.histplot(cps1, kde=True, bins=30, color='blue')\n",
+    "plt.title(f'Distribution of CPS1 for {month}/{year}')\n",
+    "plt.xlabel('CPS1 Value')\n",
+    "plt.ylabel('Frequency')\n",
+    "plt.grid(True)\n",
+    "plt.text(x=0.16, y=0.94, s=f'Mean:                         {mean_cps1}', transform=plt.gca().transAxes, fontsize=12)\n",
+    "plt.text(x=0.16, y=0.90, s=f'Standard Deviation:   {std_cps1}', transform=plt.gca().transAxes, fontsize=12)\n",
+    "plt.text(x=0.16, y=0.86, s=f'Skewness:                 {skew_cps1}', transform=plt.gca().transAxes, fontsize=12)\n",
+    "plt.tight_layout()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "id": "97abb18f-d3fc-40b0-8c28-42b6a7e1e932",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "Q1 = np.percentile(cps1['cps'], 25)\n",
+    "Q3 = np.percentile(cps1['cps'], 75)\n",
+    "IQR = Q3 - Q1\n",
+    "lower_whisker = Q1 - 1.5 * IQR\n",
+    "upper_whisker = Q3 + 1.5 * IQR\n",
+    "\n",
+    "up_outliers = cps1[cps1['cps'] > upper_whisker]\n",
+    "low_outliers = cps1[cps1['cps'] < lower_whisker]\n",
+    "\n",
+    "prob_up = len(up_outliers) / len(cps1)\n",
+    "prob_low = len(low_outliers) / len(cps1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "id": "a247462b-a550-4e88-a9cc-650aaafe4bc4",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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NmzapSpUqGjZsmEaNGqVGjRpJunHOvv32W9WpU0ddu3ZVqVKl9Nhjj2n//v0Zvo0sPWMfNWqUIiIiVKdOHXXo0EH9+/dXQECAY7+Xl5fee+89vf/++woPD9fDDz+crranT5+uTp06qV+/fipdurRatGihdevWOT2/LLmAgAD9/vvvat26tUqVKqUnnnhCPXv21JNPPun2mI8//lgVKlTQgw8+qAcffFAVK1bU7Nmzncrs2rXLKUQbMGCA+vTpo2eeeUbVq1fX33//raVLlyooKChdYwMAAAAA3HlsJjMP9ZF05swZBQcH6/Tp08qZM2dW9wu3iAsXLig8PFzTpk1Tq1atsrs7DjExMapcubLGjh3rtkyRIkXUp08f9enTx7J+AQAAAABwN8pITsQDzOFSYmKijhw5olGjRik4OFgtWrTI7i4BAAAAAIA7AGEUXDp48KCKFi2qQoUKacaMGfLyYqkAAAAAAID/jtv0AAAAAAAA8J9kJCfiAeYWGjJkiCpXrvyf67E/LN2d/fv3y2azacuWLZKkFStWyGaz6d9//5UkzZgxQ7ly5frP/ciMCxcuqHXr1sqZM6dTn5LKqnm6nSU/R8wJAAAAAOBOQRjlQpcuXWSz2WSz2eTt7a1ixYqpf//+On/+fHZ3LV0iIiKUkJCgqKgol/vbtWun3bt3Oz5bGXTMnDlTq1at0urVq5WQkKDg4GBL2r2VFSlSJNUHsUtS//799cMPP1jToSSMMRoyZIjCw8Pl7++vmJgY/fbbb2ke9+WXX6pcuXLy9fVVuXLlNH/+/BRl/v77b3Xs2FGhoaEKCAhQ5cqVtWnTJsd++/dg8q+RI0c6yhw5ckRxcXEKCwtTYGCgqlatqi+++MKxf//+/erWrZuKFi0qf39/FS9eXIMHD9aVK1dc9vvEiRMqVKiQy6B0+/btqlu3rvz9/VWwYEENHTpUSS8sTfpzI+lX+fLlXbY1Z84c2Ww2tWzZMsW+iRMnqmjRovLz81O1atW0atUqp/3pmRs7Y4yaNGniMsQ+deqU4uLiFBwcrODgYMXFxTmNe8aMGW7bOnr0aIq2/vzzTwUFBbkMu1euXKlq1arJz89PxYoV0+TJk1OUGTt2rEqXLi1/f39FRESob9++unTpksv5AwAAAHD7Ioxyo3HjxkpISNDevXv1+uuva+LEierfv7/LslevXrW4d6nz9PRUWFiY2+c8+fv7K1++fBb36oY9e/aobNmyioqKUlhYmGw2W7b0IyOMMbp27Vq29iFHjhwKDQ39T3VkZp2+/fbbGj16tMaPH68NGzYoLCxMDRs21NmzZ90es2bNGrVr105xcXHaunWr4uLi1LZtW61bt85R5tSpU6pZs6a8vb21ePFi7dy5U6NGjXIKMRISEpy+pk2bJpvNptatWzvKxMXFadeuXVq4cKG2b9+uVq1aqV27dvr1118lSb///rsSExP1/vvv67ffftOYMWM0efJkvfTSSy773q1bN1WsWDHF9jNnzqhhw4YKDw/Xhg0bNG7cOL3zzjsaPXq0o8y7777r1N9Dhw4pJCREbdq0SVHfgQMH1L9/f9WuXTvFvrlz56pPnz56+eWX9euvv6p27dpq0qSJDh48mKG5sRs7dqzb77MOHTpoy5YtWrJkiZYsWaItW7YoLi7Osb9du3Yp2mrUqJHq1q2b4mfI1atX1b59e5dj2rdvn5o2baratWvr119/1UsvvaRevXrpyy+/dJT5+OOPNXDgQA0ePFjx8fGaOnWq5s6dqxdffNFl3wEAAADcxkwmnT592kgyp0+fzmwVt6zOnTubhx9+2Glb9+7dTVhYmDHGmMGDB5tKlSqZqVOnmqJFixqbzWYSExPNgQMHTIsWLUxgYKAJCgoybdq0MUeOHHHUYT9u8uTJplChQsbf3988+uij5tSpU44y69evNw888IAJDQ01OXPmNHXq1DGbNm1y6oskM3HiRNO4cWPj5+dnihQpYj777DPH/n379hlJ5tdffzXGGPPjjz8aSY52pk+fboKDgx3/luT0NX36dPO///3PNGvWzKndq1evmvz585upU6e6nbsvvvjClCtXzvj4+JjIyEjzzjvvOPbVrVvXqZ26deu6rMM+T3bXr183r732milYsKDx8fExlSpVMosXL3bsb9WqlenZs6fjc+/evY0ks2PHDke/c+TIYZYsWWKMMSYxMdGMGDHCFC1a1Pj5+ZmKFSuazz//3HG8fb6WLFliqlWrZry9vc3y5ctd9nXbtm2mXr16xs/Pz4SEhJjHH3/cnD171mnMvXv3djrm4YcfNp07d3Y5J/ZvyaTnyNWcGGPMtGnTTJkyZYyvr68pXbq0mTBhgmOffQ3MnTvX1K1b1/j6+ppp06aZ/fv3m4ceesjkypXLBAQEmHLlyplFixa5HFtiYqIJCwszb731lmPbpUuXTHBwsJk8ebLLY4wxpm3btqZx48ZO2xo1amQee+wxx+cXXnjB1KpVy20drjz88MOmfv36TtsCAwPNrFmznLaFhISYKVOmuK3n7bffNkWLFk2xfeLEiaZu3brmhx9+cPp+se8LDg42ly5dcmx78803TXh4uElMTHTZzvz5843NZjP79+932n7t2jVTs2ZNM2XKFJc/a+655x7z1FNPOW0rU6aMGThwoNsxuZobY4zZsmWLKVSokElISDCSzPz58x37du7caSSZtWvXOratWbPGSDK///67y3aOHj1qvL29U8y5McYMGDDAdOzYMcXate8rU6aM07Ynn3zS3HfffY7PPXr0SDGG5557LsPrBAAAAED2yEhOxJVR6eTv7+90Zcmff/6pzz77TF9++aXj2UwtW7bUyZMntXLlSi1btkx79uxRu3btnOqxH/f11187rkTo0aOHY//Zs2fVuXNnrVq1SmvXrlXJkiXVtGnTFFeiDBo0SK1bt9bWrVvVsWNHtW/fXvHx8RkeV7t27dSvXz+VL1/eceVDu3bt1L17dy1ZskQJCQmOst9++63OnTuntm3buqxr06ZNatu2rR577DFt375dQ4YM0aBBgzRjxgxJ0rx58/T4448rOjpaCQkJmjdvXrr6+O6772rUqFF65513tG3bNjVq1EgtWrTQH3/8IUmKiYnRihUrHOVXrlypPHnyaOXKlZKkDRs26NKlS6pZs6Yk6ZVXXtH06dM1adIk/fbbb+rbt686duzoKG83YMAAvfnmm4qPj3d5tcyFCxfUuHFj5c6dWxs2bNDnn3+u77//Xj179kzXuOxzUqhQIQ0dOtQx/+nx4Ycf6uWXX9Ybb7yh+Ph4DR8+XIMGDdLMmTOdyr3wwgvq1auX4uPj1ahRI/Xo0UOXL1/WTz/9pO3bt2vEiBHKkSOHyzb27dunI0eO6MEHH3Rs8/X1Vd26dbV69Wq3fVuzZo3TMZLUqFEjp2MWLlyo6tWrq02bNsqXL5+qVKmiDz/80G2d//zzjxYtWqRu3bo5ba9Vq5bmzp2rkydPKjExUXPmzNHly5cVExPjtq7Tp08rJCTEadvOnTs1dOhQzZo1Sx4eKX8srlmzRnXr1pWvr6/TmA4fPqz9+/e7bGfq1Kl64IEHFBkZ6bR96NChyps3b4qxSNKVK1e0adOmFPP34IMPup1zd3Nz4cIFtW/fXuPHj1dYWJjLMQUHB+vee+91bLvvvvsUHBzstq1Zs2YpICBAjz76qNP25cuX6/PPP9eECRNcHuduTWzcuNHxc7VWrVratGmT1q9fL0nau3evvv32WzVr1sxlnQAAAABuX67v44KT9evX65NPPlGDBg0c265cuaLZs2crb968kqRly5Zp27Zt2rdvnyIiIiRJs2fPVvny5bVhwwbVqFFDknTp0iXNnDlThQoVkiSNGzdOzZo106hRoxQWFqb69es7tf3+++8rd+7cWrlypR566CHH9jZt2qh79+6SpGHDhmnZsmUaN26cJk6cmKGx+fv7K0eOHPLy8nL6g/X+++9X6dKlNXv2bA0YMECSNH36dLVp08ZteDF69Gg1aNBAgwYNkiSVKlVKO3fu1MiRI9WlSxeFhIQoICBAPj4+Lv84duedd97RCy+8oMcee0ySNGLECP34448aO3asJkyYoJiYGPXu3VvHjx+Xp6enfvvtNw0ePFgrVqzQM888oxUrVqhatWrKkSOHzp8/r9GjR2v58uWKjo6WJBUrVkw///yz3n//fdWtW9fR7tChQ9WwYUO3/fr444918eJFzZo1S4GBgZKk8ePHq3nz5hoxYoTy58+f5thCQkLk6empoKCgDM3JsGHDNGrUKLVq1UqSVLRoUe3cuVPvv/++Onfu7CjXp08fRxlJOnjwoFq3bq0KFSo4xu7OkSNHJCnFOPLnz68DBw6kepyrY+z1STeChkmTJum5557TSy+9pPXr16tXr17y9fVVp06dUtQ5c+ZMBQUFOY1FunFLW7t27RQaGiovLy8FBARo/vz5Kl68uMu+7dmzR+PGjdOoUaMc2y5fvqz27dtr5MiRKly4sPbu3etyTEWKFEkxJvu+okWLOu1LSEjQ4sWL9cknnzht/+WXXzR16lRHgJ3c8ePHdf369TTnLyl3c9O3b1/df//9evjhh10ed+TIEZe36+bLl89tW9OmTVOHDh3k7+/v2HbixAl16dJFH330kds3ZrhbE9euXdPx48dVoEABPfbYYzp27Jhq1arluDX26aef1sCBA13WCQAAAOD2xZVRbnzzzTfKkSOH/Pz8FB0drTp16mjcuHGO/ZGRkY4gSpLi4+MVERHhCKIkqVy5csqVK5fTFUuFCxd2BFGSFB0drcTERO3atUuSdPToUT311FMqVaqU46HC586dc3pejP245J8zc2VUarp3767p06c7+rVo0SJ17drVbfn4+HjH1Ud2NWvW1B9//KHr169nqg9nzpzR4cOHXdZrH29UVJRCQ0O1cuVKrVq1SpUqVVKLFi0cVzqtWLHCETLt3LlTly5dUsOGDZUjRw7H16xZs7Rnzx6nNqpXr55q3+Lj41WpUiVHEGXvV9LzeTMcO3ZMhw4dUrdu3ZzG8Prrr6c5hl69eun1119XzZo1NXjwYG3bti3N9pI/b8gYk+azvtI6JjExUVWrVtXw4cNVpUoVPfnkk3r88cc1adIkl/VNmzZNsbGx8vPzc9r+yiuv6NSpU/r++++1ceNGPffcc2rTpo22b9+eoo7Dhw+rcePGTkGuJL344osqW7asOnbsmOExudou/d/bEJM+nPzs2bPq2LGjPvzwQ+XJkyfDbbmbc1dzs3DhQi1fvjzNB+O7qtNdW2vWrNHOnTtTXIH1+OOPq0OHDqpTp06G2ko+fytWrNAbb7yhiRMnavPmzZo3b56++eYbDRs2LNV6AQAAANx+uDLKjXr16mnSpEny9vZWeHi4vL29nfYnDSAk93/ApfWHu32f/X+7dOmiY8eOaezYsYqMjJSvr6+io6Pdvv3LVV1ZpVOnTho4cKDWrFmjNWvWqEiRIi4fTmznaqwmydvG/ovU/ji32WyqU6eOVqxYIR8fH8XExCgqKkrXr1/X9u3btXr1avXp00fSjRBEkhYtWqSCBQs61Zn0Fiwp5TlOLrVza9/u4eGRYg7+6wPv7WP48MMPnW6xkm48vD6p5GPo3r27GjVqpEWLFmnp0qV68803NWrUKD377LMp2rFfqXXkyBEVKFDAsf3o0aOpXvUVFhaW4sqa5McUKFBA5cqVcypTtmxZpwda261atUq7du3S3Llznbbv2bNH48eP144dOxxvrKtUqZJWrVqlCRMmOL2t7fDhw6pXr56io6P1wQcfONWzfPlybd++3fEWPvv5ypMnj15++WW99tprbsckpbxyzBijadOmKS4uTj4+Pk793b9/v5o3b+7YZj+XXl5e2rVrlyIiIuTp6Znm/KU1N8uXL9eePXtSvNWudevWql27tlasWKGwsDD9888/Keo8duyYy7amTJmiypUrq1q1ainaWrhwod555x3H+BMTE+Xl5aUPPvhAXbt2dTt/Xl5ejgfzDxo0SHFxcY6gsEKFCjp//ryeeOIJvfzyyy5vnwQAAABwe+K3ezcCAwNVokQJRUZGpgiiXClXrpwOHjyoQ4cOObbt3LlTp0+fVtmyZR3bDh48qMOHDzs+r1mzRh4eHipVqpSkG39c9urVS02bNlX58uXl6+ur48ePp2hv7dq1KT6XKVMmw+OUJB8fH5dXLoWGhqply5aaPn26pk+frv/973+p1lOuXDn9/PPPTttWr16tUqVKpQhJ0itnzpwKDw93WW/SebU/N2rFihWKiYmRzWZT7dq19c477+jixYuOK6vKlSsnX19fHTx4UCVKlHD6SnpVW3qUK1dOW7Zs0fnz5x3bfvnlF6fzmTdvXqfnQF2/fl07duxwqsfd/LuTP39+FSxYUHv37k0xhuS3i7kSERGhp556SvPmzVO/fv3cPqupaNGiCgsL07Jlyxzbrly5opUrV+r+++93W390dLTTMZK0dOlSp2Nq1qyZ4uqx3bt3p3i+knTj2UvVqlVTpUqVnLZfuHBBklKEFJ6eno6QR5L+/vtvxcTEqGrVqpo+fXqK8l9++aW2bt2qLVu2aMuWLZoyZYqkG9+L9ue5RUdH66effnIKhZcuXarw8PAUt++tXLlSf/75Z4oriMqUKaPt27c72tmyZYtatGihevXqacuWLYqIiJCPj4+qVauWYv6WLVvmcs7dzc3AgQO1bds2p7YkacyYMY6rHaOjo3X69GnHM5okad26dTp9+nSKts6dO6fPPvvM5XOu1qxZ49TO0KFDFRQUpC1btuiRRx5xtOVqTVSvXt3x8/XChQsuz6UxJstCbQAAAAC3CCuekn67cfWGq6RcvdksMTHRVKlSxdSuXdts2rTJrFu3zlSrVs3pjXGDBw82gYGB5oEHHjBbtmwxP/30kylVqpTTW8YqV65sGjZsaHbu3GnWrl1rateubfz9/c2YMWMcZSSZPHnymKlTp5pdu3aZV1991Xh4eJjffvvNGJOxt+kZY8zHH39sAgMDza+//mqOHTvm9MawpUuXGh8fH+Pp6Wn+/vvvVOdt06ZNxsPDwwwdOtTs2rXLzJgxw/j7+5vp06c7yvTu3dvtW/Tcze+YMWNMzpw5zZw5c8zvv/9uXnjhBePt7W12797tKLNt2zZjs9mMt7e3Y02OHTvWeHp6mho1ajjV//LLL5vQ0FAzY8YM8+eff5rNmzeb8ePHmxkzZricL3fOnz9vChQoYFq3bm22b99uli9fbooVK+Z4U54xxkyePNkEBASYb775xsTHx5snnnjC5MyZ06lMw4YNTYsWLcxff/1ljh07ZoxJ+216H374ofH39zdjx441u3btMtu2bTPTpk0zo0aNMsakXAN2vXv3NkuWLDF79+41mzZtMvfcc49p27at2zG+9dZbJjg42MybN89s377dtG/f3hQoUMCcOXPGUSYuLs7pTW+//PKL8fT0NG+99ZaJj483b731lvHy8nJ6a9v69euNl5eXeeONN8wff/xhPv74YxMQEGA++ugjp/ZPnz5tAgICzKRJk1L07cqVK6ZEiRKmdu3aZt26debPP/8077zzjrHZbI43BP7999+mRIkSpn79+uavv/4yCQkJji93XJ3/f//91+TPn9+0b9/ebN++3cybN8/kzJnT6W2Rdh07djT33nuv2/qTcvWzZs6cOcbb29tMnTrV7Ny50/Tp08cEBgameCtfanPjipK9Tc8YYxo3bmwqVqxo1qxZY9asWWMqVKhgHnrooRTHTpkyxfj5+ZmTJ0+m2Y6rt+nt3bvXBAQEmL59+5qdO3eaqVOnGm9vb/PFF184ygwePNgEBQWZTz/91Ozdu9csXbrUFC9ePNX1CQAAAODWkZGciDDKhcyEUcYYc+DAAdOiRQsTGBhogoKCTJs2bcyRI0dSHDdx4kQTHh5u/Pz8TKtWrZz+wNu8ebOpXr268fX1NSVLljSff/65iYyMTBFGTZgwwTRs2ND4+vqayMhI8+mnnzr2ZzSMunTpkmndurXJlSuXkeQUHiUmJprIyEjTtGnTdM3dF198YcqVK2e8vb1N4cKFzciRI532ZyaMun79unnttddMwYIFjbe3t6lUqZJZvHix0zGJiYkmb968pnr16o5tv/76q5Fk+vfvn6Lsu+++a0qXLm28vb1N3rx5TaNGjczKlSuNMekPo4y5EYLVq1fP+Pn5mZCQEPP444+bs2fPOvZfuXLFPP300yYkJMTky5fPvPnmm+bhhx92CqPWrFljKlasaHx9fY09H04rjDLmRohYuXJl4+PjY3Lnzm3q1Klj5s2bZ4xxH0b17NnTFC9e3Pj6+pq8efOauLg4c/z4cbfjS0xMNIMHDzZhYWHG19fX1KlTx2zfvt2pTN26dZ3GY4wxn3/+uWN+y5QpY7788ssUdX/99dcmKirK+Pr6mjJlypgPPvggRZn333/f+Pv7m3///ddl/3bv3m1atWpl8uXLZwICAkzFihXNrFmzHPunT59uJLn8csfd+d+2bZupXbu28fX1NWFhYWbIkCEmMTHRqcy///5r/P39XY7FFXc/ayZMmGAiIyONj4+PqVq1qmNtJpXW3CTnKow6ceKEiY2NNUFBQSYoKMjExsa6XPfR0dGmQ4cO6WrHVRhljDErVqwwVapUMT4+PqZIkSIpQrSrV6+aIUOGmOLFixs/Pz8TERFhnnnmmXR9HwIAAADIfhnJiWzGZO7+hzNnzig4OFinT592+wYl3P4uXLig8PBwTZs2LcXbugAAAAAAAKSM5UQ8wBwuJSYm6siRIxo1apSCg4PVokWL7O4SAAAAAAC4AxBGwaWDBw+qaNGiKlSokGbMmCEvL5YKAAAAAAD47zKdMNjv7jtz5kyWdQa3jpCQEJ0+fdrxmfMMAAAAAADcsecG6XkaVKbDqLNnz0q68Zp4AAAAAAAA4OzZswoODk61TKYfYJ6YmKjDhw8rKChINpstUx28HZ05c0YRERE6dOgQD26/y7EWYMdagB1rAXasBdixFmDHWoAdawF2d9paMMbo7NmzCg8Pl4eHR6plM31llIeHhwoVKpTZw297OXPmvCMWC/471gLsWAuwYy3AjrUAO9YC7FgLsGMtwO5OWgtpXRFll3pUBQAAAAAAAGQhwigAAAAAAABYhjAqg3x9fTV48GD5+vpmd1eQzVgLsGMtwI61ADvWAuxYC7BjLcCOtQC7u3ktZPoB5gAAAAAAAEBGcWUUAAAAAAAALEMYBQAAAAAAAMsQRgEAAAAAAMAyhFEAAAAAAACwDGFUOrz55puy2Wzq06ePY5sxRkOGDFF4eLj8/f0VExOj3377Lfs6iZvm77//VseOHRUaGqqAgABVrlxZmzZtcuxnLdwdrl27pldeeUVFixaVv7+/ihUrpqFDhyoxMdFRhrVwZ/rpp5/UvHlzhYeHy2azacGCBU7703PeL1++rGeffVZ58uRRYGCgWrRoob/++svCUSArpLYWrl69qhdeeEEVKlRQYGCgwsPD1alTJx0+fNipDtbCnSGtnwtJPfnkk7LZbBo7dqzTdtbCnSE9ayE+Pl4tWrRQcHCwgoKCdN999+ngwYOO/ayFO0Naa+HcuXPq2bOnChUqJH9/f5UtW1aTJk1yKsNauP29+eabqlGjhoKCgpQvXz61bNlSu3btcirD7443EEalYcOGDfrggw9UsWJFp+1vv/22Ro8erfHjx2vDhg0KCwtTw4YNdfbs2WzqKW6GU6dOqWbNmvL29tbixYu1c+dOjRo1Srly5XKUYS3cHUaMGKHJkydr/Pjxio+P19tvv62RI0dq3LhxjjKshTvT+fPnValSJY0fP97l/vSc9z59+mj+/PmaM2eOfv75Z507d04PPfSQrl+/btUwkAVSWwsXLlzQ5s2bNWjQIG3evFnz5s3T7t271aJFC6dyrIU7Q1o/F+wWLFigdevWKTw8PMU+1sKdIa21sGfPHtWqVUtlypTRihUrtHXrVg0aNEh+fn6OMqyFO0Naa6Fv375asmSJPvroI8XHx6tv37569tln9dVXXznKsBZufytXrlSPHj20du1aLVu2TNeuXdODDz6o8+fPO8rwu+P/Z+DW2bNnTcmSJc2yZctM3bp1Te/evY0xxiQmJpqwsDDz1ltvOcpeunTJBAcHm8mTJ2dTb3EzvPDCC6ZWrVpu97MW7h7NmjUzXbt2ddrWqlUr07FjR2MMa+FuIcnMnz/f8Tk95/3ff/813t7eZs6cOY4yf//9t/Hw8DBLliyxrO/IWsnXgivr1683ksyBAweMMayFO5W7tfDXX3+ZggULmh07dpjIyEgzZswYxz7Wwp3J1Vpo166d43cFV1gLdyZXa6F8+fJm6NChTtuqVq1qXnnlFWMMa+FOdfToUSPJrFy50hjD745JcWVUKnr06KFmzZrpgQcecNq+b98+HTlyRA8++KBjm6+vr+rWravVq1db3U3cRAsXLlT16tXVpk0b5cuXT1WqVNGHH37o2M9auHvUqlVLP/zwg3bv3i1J2rp1q37++Wc1bdpUEmvhbpWe875p0yZdvXrVqUx4eLiioqJYG3e406dPy2azOa6mZS3cPRITExUXF6fnn39e5cuXT7GftXB3SExM1KJFi1SqVCk1atRI+fLl07333ut0+xZr4e5Rq1YtLVy4UH///beMMfrxxx+1e/duNWrUSBJr4U51+vRpSVJISIgkfndMijDKjTlz5mjz5s168803U+w7cuSIJCl//vxO2/Pnz+/YhzvD3r17NWnSJJUsWVLfffednnrqKfXq1UuzZs2SxFq4m7zwwgtq3769ypQpI29vb1WpUkV9+vRR+/btJbEW7lbpOe9HjhyRj4+PcufO7bYM7jyXLl3SwIED1aFDB+XMmVMSa+FuMmLECHl5ealXr14u97MW7g5Hjx7VuXPn9NZbb6lx48ZaunSpHnnkEbVq1UorV66UxFq4m7z33nsqV66cChUqJB8fHzVu3FgTJ05UrVq1JLEW7kTGGD333HOqVauWoqKiJPG7Y1Je2d2BW9GhQ4fUu3dvLV261Ol+7uRsNpvTZ2NMim24vSUmJqp69eoaPny4JKlKlSr67bffNGnSJHXq1MlRjrVw55s7d64++ugjffLJJypfvry2bNmiPn36KDw8XJ07d3aUYy3cnTJz3lkbd66rV6/qscceU2JioiZOnJhmedbCnWXTpk169913tXnz5gyfV9bCncX+kpOHH35Yffv2lSRVrlxZq1ev1uTJk1W3bl23x7IW7jzvvfee1q5dq4ULFyoyMlI//fSTnnnmGRUoUCDFnThJsRZuXz179tS2bdv0888/p9jH745cGeXSpk2bdPToUVWrVk1eXl7y8vLSypUr9d5778nLy8uRYiZPJY8ePZoi4cTtrUCBAipXrpzTtrJlyzregBIWFiaJtXA3eP755zVw4EA99thjqlChguLi4tS3b1/H1ZOshbtTes57WFiYrly5olOnTrktgzvH1atX1bZtW+3bt0/Lli1zXBUlsRbuFqtWrdLRo0dVuHBhx++RBw4cUL9+/VSkSBFJrIW7RZ48eeTl5ZXm75KshTvfxYsX9dJLL2n06NFq3ry5KlasqJ49e6pdu3Z65513JLEW7jTPPvusFi5cqB9//FGFChVybOd3x/9DGOVCgwYNtH37dm3ZssXxVb16dcXGxmrLli0qVqyYwsLCtGzZMscxV65c0cqVK3X//fdnY8+R1WrWrJniVZy7d+9WZGSkJKlo0aKshbvEhQsX5OHh/CPT09PT8V89WQt3p/Sc92rVqsnb29upTEJCgnbs2MHauMPYg6g//vhD33//vUJDQ532sxbuDnFxcdq2bZvT75Hh4eF6/vnn9d1330liLdwtfHx8VKNGjVR/l2Qt3B2uXr2qq1evpvq7JGvhzmCMUc+ePTVv3jwtX75cRYsWddrP747/h9v0XAgKCnLc02kXGBio0NBQx/Y+ffpo+PDhKlmypEqWLKnhw4crICBAHTp0yI4u4ybp27ev7r//fg0fPlxt27bV+vXr9cEHH+iDDz6QdOPyStbC3aF58+Z64403VLhwYZUvX16//vqrRo8era5du0piLdzJzp07pz///NPxed++fdqyZYtCQkJUuHDhNM97cHCwunXrpn79+ik0NFQhISHq37+/KlSokOpl+bj1pLYWwsPD9eijj2rz5s365ptvdP36dcd/9QwJCZGPjw9r4Q6S1s+F5EGkt7e3wsLCVLp0aUn8XLiTpLUWnn/+ebVr10516tRRvXr1tGTJEn399ddasWKFJNbCnSSttVC3bl09//zz8vf3V2RkpFauXKlZs2Zp9OjRklgLd4oePXrok08+0VdffaWgoCDH7wLBwcHy9/dP198Md81ayI5X+N2O6tata3r37u34nJiYaAYPHmzCwsKMr6+vqVOnjtm+fXv2dRA3zddff22ioqKMr6+vKVOmjPnggw+c9rMW7g5nzpwxvXv3NoULFzZ+fn6mWLFi5uWXXzaXL192lGEt3Jl+/PFHIynFV+fOnY0x6TvvFy9eND179jQhISHG39/fPPTQQ+bgwYPZMBr8F6mthX379rncJ8n8+OOPjjpYC3eGtH4uJBcZGWnGjBnjtI21cGdIz1qYOnWqKVGihPHz8zOVKlUyCxYscKqDtXBnSGstJCQkmC5dupjw8HDj5+dnSpcubUaNGmUSExMddbAWbn/ufheYPn26owy/O95gM8aYm5p2AQAAAAAAAP8fz4wCAAAAAACAZQijAAAAAAAAYBnCKAAAAAAAAFiGMAoAAAAAAACWIYwCAAAAAACAZQijAAAAAAAAYBnCKAAAAAAAAFiGMAoAAAAAAACWIYwCAAAAAACAZQijAAAAAAAAYBnCKAAAAAAAAFiGMAoAAMCNxMREjRgxQiVKlJCvr68KFy6sN954Q/v375fNZtOcOXN0//33y8/PT+XLl9eKFSscx546dUqxsbHKmzev/P39VbJkSU2fPj37BgMAAHCL8MruDgAAANyqXnzxRX344YcaM2aMatWqpYSEBP3++++O/c8//7zGjh2rcuXKafTo0WrRooX27dun0NBQDRo0SDt37tTixYuVJ08e/fnnn7p48WI2jgYAAODWYDPGmOzuBAAAwK3m7Nmzyps3r8aPH6/u3bs77du/f7+KFi2qt956Sy+88IIk6dq1aypatKieffZZDRgwQC1atFCePHk0bdq07Og+AADALYvb9AAAAFyIj4/X5cuX1aBBA7dloqOjHf/28vJS9erVFR8fL0l6+umnNWfOHFWuXFkDBgzQ6tWrb3qfAQAAbgeEUQAAAC74+/tn6jibzSZJatKkiQ4cOKA+ffro8OHDatCggfr375+VXQQAALgtEUYBAAC4ULJkSfn7++uHH35wW2bt2rWOf1+7dk2bNm1SmTJlHNvy5s2rLl266KOPPtLYsWP1wQcf3NQ+AwAA3A54gDkAAIALfn5+euGFFzRgwAD5+PioZs2aOnbsmH777TfHrXsTJkxQyZIlVbZsWY0ZM0anTp1S165dJUmvvvqqqlWrpvLly+vy5cv65ptvVLZs2ewcEgAAwC2BMAoAAMCNQYMGycvLS6+++qoOHz6sAgUK6KmnnnLsf+uttzRixAj9+uuvKl68uL766ivlyZNHkuTj46MXX3xR+/fvl7+/v2rXrq05c+Zk11AAAABuGbxNDwAAIIPsb9P79ddfVbly5ezuDgAAwG2FZ0YBAAAAAADAMoRRAAAAAAAAsAy36QEAAAAAAMAyXBkFAAAAAAAAyxBGAQAAAAAAwDKEUQAAAAAAALAMYRQAAAAAAAAsQxgFAAAAAAAAyxBGAQAAAAAAwDKEUQAAAAAAALAMYRQAAAAAAAAs8/8AhtMc3/pQZiIAAAAASUVORK5CYII=",
+      "text/plain": [
+       "<Figure size 1500x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(15, 5))\n",
+    "sns.boxplot(x=cps1['cps'])\n",
+    "plt.title(f'Boxplot of CPS score for {month}/{year}')\n",
+    "plt.text(cps1['cps'].min(),0.45, f'Probability of upper outliers {prob_up}', fontsize=10)\n",
+    "plt.text(cps1['cps'].min(),0.49, f'Probability of lower outliers {prob_low}', fontsize=10)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ebaa1969",
+   "metadata": {},
+   "source": [
+    "\n",
+    "---\n",
+    "\n",
+    "## Month-to-Month Analysis\n",
+    "In this section, we explore how values change from one month to the next, allowing us to detect seasonality and short-term patterns.\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "635fa072-93f8-4317-8184-acc2fb629907",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "import seaborn as sns\n",
+    "from datetime import datetime, timedelta\n",
+    "import numpy as np"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ccd020fb-4131-4920-87f3-2fd7fa925db7",
+   "metadata": {},
+   "source": [
+    "### Monthly data Aggregation\n",
+    "- We prompt the user to specify a year (16–23) and a month (e.g., 1–12 for January to December).\n",
+    "- Construct a file path dynamically to load the corresponding CSV file containing the time-series data for all the months of given year.\n",
+    "- The selected data is then read into a pandas dataframe (df), which becomes the basis for further analysis."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "c3f45329-9216-4049-9815-280a4b8ba17c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "file_path23 = []\n",
+    "file_path22 = []\n",
+    "file_path21 = []\n",
+    "file_path20 = []\n",
+    "file_path19 = []\n",
+    "file_path18 = []\n",
+    "file_path17 = []\n",
+    "file_path16 = []\n",
+    "for j in range(12):\n",
+    "    file_path23.append(f\"Time series data/fnew-2023-{j+1}.csv\")\n",
+    "    file_path22.append(f\"Time series data/fnew-2022-{j+1}.csv\")\n",
+    "    file_path21.append(f\"Time series data/fNew 2021 {j+1}.csv\")\n",
+    "    file_path20.append(f\"Time series data/fNew 2020 {j+1}.csv\")\n",
+    "    file_path19.append(f\"Time series data/f 2019 {j+1}.csv\")\n",
+    "    file_path18.append(f\"Time series data/f 2018 {j+1}.csv\")\n",
+    "    file_path17.append(f\"Time series data/f 2017 {j+1}.csv\")\n",
+    "    file_path16.append(f\"Time series data/f 2016 {j+1}.csv\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "48fd7321-6083-428f-b3ae-ed27f95dde46",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df23 = [pd.read_csv(file) for file in file_path23]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "a02c8b45-c234-46c6-b2af-5cadb60fe8fc",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df22 = [pd.read_csv(file) for file in file_path22]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "cc031fed-80d7-47bc-99fe-c6aaa9d0fec3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df21 = [pd.read_csv(file) for file in file_path21]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "ce3724a4-e0a3-4ddf-b0c2-435a2b3ce1b4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df20 = [pd.read_csv(file) for file in file_path20]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "7e943d81-393c-433e-baf0-bbeb118df1fa",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df19 = [pd.read_csv(file) for file in file_path19]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "be702623-a1e6-42ba-978f-be49ad651050",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df18 = [pd.read_csv(file) for file in file_path18]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "21e15064-a3a4-4236-8cfe-25dcc951bfc2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df17 = [pd.read_csv(file) for file in file_path17]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "20f9d4b4-21e1-4114-9687-adf20d6e32f1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df16 = [pd.read_csv(file) for file in file_path16]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "e96a4d66-a8ab-4317-b449-162824f12717",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df = [df16,df17,df18,df19,df20,df21,df22,df23]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "6104d64b-d770-4855-b819-ac164302780f",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdin",
+     "output_type": "stream",
+     "text": [
+      "For which year would you like a month to month analysis?(16 - 23) 16\n"
+     ]
+    }
+   ],
+   "source": [
+    "var = int(input(\"For which year would you like a month to month analysis?(16 - 23)\"))\n",
+    "if var > 23 or var < 16:\n",
+    "    print('Wrong input')\n",
+    "    var = input(\"For which year would you like a month to month analysis?\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "16d37a1d-309d-46f2-bc49-fa7ab4e3d9aa",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "dff = df[var - 16]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "ac4bec7b-1e06-46d2-babb-822240f95b75",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "months = ['January', 'February', 'March', 'April', 'May', 'June', \n",
+    "          'July', 'August', 'September', 'October', 'November', 'December']"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "06a56528-a3cc-42df-8f00-ae3ad63a96f7",
+   "metadata": {},
+   "source": [
+    "### Metrics Calculation\n",
+    "- Mean: The average value of the frequency variable (f) for all the months in the selected year.\n",
+    "- Standard Deviation: The variability of the frequency data around the mean.\n",
+    "- Skewness: The asymmetry of the frequency distribution."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "a4356d6b-d8b8-4509-a804-a54d38242166",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "The MEAN of the months in year 2016 from January to December is:\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "[50.00012469310031,\n",
+       " 49.999959434466774,\n",
+       " 49.99935163157108,\n",
+       " 49.999878437499994,\n",
+       " 49.99960146430705,\n",
+       " 49.999848150077135,\n",
+       " 49.99970576948923,\n",
+       " 49.99977019601255,\n",
+       " 49.999632899691385,\n",
+       " 50.000258082437284,\n",
+       " 49.99958763850309,\n",
+       " 49.99938094459378]"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "mean = []\n",
+    "for i in range(12):\n",
+    "    alt = dff[i]\n",
+    "    mean.append(alt['f'].mean())\n",
+    "print(f'The MEAN of the months in year 20{var} from January to December is:')\n",
+    "mean"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "03c65a5a-1172-4aa2-a39c-5736b2e834ce",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "The STANDARD DEVIATION of the months in year 2016 from January to December is:\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "[0.05586816636132356,\n",
+       " 0.054133148818792186,\n",
+       " 0.05603461541688417,\n",
+       " 0.059400231446219684,\n",
+       " 0.057202088112117494,\n",
+       " 0.05436332709591835,\n",
+       " 0.055509918485342924,\n",
+       " 0.05278128727576658,\n",
+       " 0.053231414418722006,\n",
+       " 0.054953242802027596,\n",
+       " 0.056555685087250646,\n",
+       " 0.05530752830269297]"
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "stdev = []\n",
+    "for i in range(12):\n",
+    "    alt = dff[i]\n",
+    "    stdev.append(alt['f'].std())\n",
+    "print(f'The STANDARD DEVIATION of the months in year 20{var} from January to December is:')\n",
+    "stdev"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "062069f0-cfdf-462a-9f2c-823bfa5b59d5",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "The SKEWNESS of the months in year 2016 from January to December is:\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "[0.18420039462330567,\n",
+       " 0.17955178514424272,\n",
+       " 0.1625644514814289,\n",
+       " 0.21712817804041615,\n",
+       " 0.192713122831179,\n",
+       " 0.17052949283325863,\n",
+       " 0.18007534293460922,\n",
+       " 0.24807129628458455,\n",
+       " 0.30352814369722364,\n",
+       " 0.18847609995596137,\n",
+       " 0.1507974699611169,\n",
+       " 0.13213733662728175]"
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "skew = []\n",
+    "for i in range(12):\n",
+    "    alt = dff[i]\n",
+    "    skew.append(alt['f'].skew())\n",
+    "print(f'The SKEWNESS of the months in year 20{var} from January to December is:')\n",
+    "skew"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7d46d861-f383-4d23-8eb5-b50824b8756f",
+   "metadata": {},
+   "source": [
+    "## Visualization\n",
+    "Clear month to month changes of mean, standard deviation and skewness for the given year to visualize changes within the year."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "id": "fe5e6323-6d94-42df-9c07-d463cc4f0557",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(12, 5))\n",
+    "plt.plot(months[0:], mean[0:], marker='o', color='b', linestyle='-', label=f'Month to Month Change in Mean in 20{var}')\n",
+    "plt.xlabel(f'Year 20{var}')\n",
+    "plt.ylabel('Mean')\n",
+    "plt.title(f'Month to Month Change in Mean in 20{var}')\n",
+    "plt.grid(True)\n",
+    "plt.legend()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "id": "e46de228-51a9-4194-a963-9bf0a1c1b082",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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Zs4rFixeLgwcPirFjxwpjY2O9714iSp9Ys09EGZarqysKFiyIVatW4cKFCzhz5ky8TfgPHjwIa2trtGnTRm+9trnngQMH9NbXrl1bry9y7ty5kStXrlhNthNSrlw5fPPNN7rnFhYWKFKkiKJ9fOrt27c4deoU2rRpo9d82tjYGD/++CPu3buXqGapAHTN5n/99VdERUXB19cX7dq1i7NZ9okTJ/D+/ftYzcodHBzw3Xffxco7jUYTq3a0TJkyis+7WbNmsfbx4cMHPH78WNF+EqNx48YwNjbWOxYAvZjfvHmDn376CYUKFYKJiQlMTExgY2ODt2/fxurOEF/8n+4zMDAQANCuXTu9dG3atIGJif6QPDt27EDt2rVhb2+PqKgo3UNbi6zdV0qcd1zMzc2xdetWXL58GfPnz8f333+PJ0+eYNq0aShevHiir8ODBw+ibt26yJw5M4yNjWFqaooJEybg2bNnsd7nxHyeDh06hDp16iB37ty6dcbGxnG29rl16xY6dOgAOzs73bFdXV0BIM73s3Xr1nrPDx06BADo2LGj3voOHTok6twTQ3zWnSGx10Hp0qXh7Oysq30H5DmdPn063u9IraioKEyfPh0lSpSAmZkZTExMYGZmhuvXr8eZL4mhzavPv0MqV66M4sWLx/oOsbOzQ+XKlfXWJeU75FNf+jwm1vjx47Fu3TrMnz8fzs7OsbYn1KIoKTMUxMTE4PXr11i6dCn69++P2rVrY+rUqRg4cCDWr1+f4cYfIcpoWNgnogxLo9GgW7duWLt2LXx8fFCkSBHUqFEjzrTPnj2DnZ1drB9buXLlgomJCZ49e6a3Pnv27LH2YW5uHm9z5bgkxz4+9eLFCwghkCdPnljb7O3tASDWeSSkW7duePLkCaZPn47z58/H24Rfu8/4jvv5Ma2srGBhYaG3ztzcXHET1s/zz9zcHAASzD9tYTAkJCTZj9WhQwcsXrwYPXr0wN69e3H69GmcOXMGOXPmjDOmL+1Tm2+fFkwBwMTEJNZrHz16hD///BOmpqZ6D20z4qROU5iUPP5U8eLFMWTIEKxduxZ3796Fl5cXnj17lqjR0E+fPg03NzcAwM8//4xjx47hzJkzGDt2bJwxJObzpP2cf+7zdW/evEGNGjVw6tQpTJ06FYcPH8aZM2fg7+8f57GtrKxizVLx7NmzON+ruI6fVHfu3IG5uTmyZcsGQNl14O7ujhMnTuDff/8FAKxevRrm5ua68U7i4+HhgfHjx6NFixb4888/cerUKZw5cwZly5ZN8neX0u+Q5P7ujGufSq91QI4xMXXqVEybNg0DBgyIc/9xfQc/f/4cGo0GWbJkURj1x/3Wr19fb732Bs/58+cV75OI0g6Oxk9EGVrXrl0xYcIE+Pj4YNq0afGmy549O06dOgUhhF6B//Hjx4iKikKOHDlSI9yvkjVrVhgZGSE0NDTWNu3Ab0rOw8HBAXXr1oWnpyeKFi2K6tWrx5lO+2MzvuMaUt5VrFgR2bJlw7Zt2zBjxoxkm+v71atX2LFjByZOnIhRo0bp1oeHh+tNM6eENl8fPXqEvHnz6tZHRUXFKjDkyJEDZcqUifca197sUZNGo8HQoUMxefJkXLx48YvpN27cCFNTU+zYsUPv5tAff/yR5BiyZ8+Ohw8fxlr/+bqDBw/iwYMHOHz4sK42H0C802jGdR1lz55d9159WpCM6/hJcf/+fZw7dw6urq66lh5KroMffvgBHh4e8PPzw7Rp03TT+mXNmjXB465duxadO3fG9OnT9dY/ffo0SYVVQP875PNR+g3tOyQ+np6emDRpEiZNmoQxY8bE2l6wYEFYWlrqDWSodeHCBRQqVCjWTdDEKFOmTJzXlLbVR2IH+iOitImfcCLK0PLmzYsRI0agadOm6NKlS7zp6tSpgzdv3sQqSPzyyy+67UolpWboa/ZrbW2NKlWqwN/fX29bTEwM1q5di3z58sU7kn58hg0bhqZNmyZYE1utWjVYWlrGGhzr3r17OHjwoEHlnampKX766Sf8+++/cQ7yBsgbPMeOHVO0X41GAyGELm6tlStXJmmALwCoWbMmAMQaWHHz5s2xRthv0qQJLl68iIIFC6JixYqxHqld2I/rxg8gC25hYWF68cRXI6vRaGBiYqLXjeD9+/f49ddfkxxX7dq1ceDAATx69Ei3Ljo6OlYeawvvn7+fy5cvV3QsAFi3bp3e+vXr1yuKOS7v379Hjx49EBUVpTfdmpLrIGvWrGjRogV++eUX7NixAw8fPvxiE35A5s3n+bJz507cv39fb52Sz7B2errPv0POnDmDK1euGPw0clOmTMGkSZMwbtw4TJw4Mc40JiYmaNq0Kfz9/fH69Wvd+rt37+LQoUNxDgSbGNruI7t379Zbv2vXLhgZGelmRSCi9Ik1+0SU4c2cOfOLaTp37owlS5agS5cuuH37NkqXLo2//voL06dPR6NGjVC3bl3Fxy1dujQAYMGCBejSpQtMTU1RtGhRvb7+SZEpUyY4Ojpi27ZtqFOnDrJly4YcOXIgf/78mDFjBurVq4fatWtj+PDhMDMzw9KlS3Hx4kVs2LBBcU22m5ubril1fLJkyYLx48djzJgx6Ny5M3744Qc8e/YMnp6esLCwiPfHb1LP8WuNGDECV65cwcSJE3H69Gl06NABDg4OePXqFY4cOYIVK1bA09MTLi4uid6nra0tatasiTlz5ujiDAwMhK+vb5JrO0uWLIkffvgB8+bNg7GxMb777jtcunQJ8+bNQ+bMmfVq7CZPnoyAgABUr14dgwYNQtGiRfHhwwfcvn0bu3btgo+PT6rOa96rVy+8fPkSrVu3RqlSpWBsbIx///0X8+fPh5GREX766Sdd2tKlS8Pf3x/Lli2Ds7MzjIyMULFiRTRu3BheXl7o0KEDevXqhWfPnmHu3LmxCppKjBs3Dtu3b8d3332HCRMmwMrKCkuWLIk1nV716tWRNWtW9OnTBxMnToSpqSnWrVuHv//+O9HHcnNzQ82aNTFy5Ei8ffsWFStWxLFjxxTfrLh79y5OnjyJmJgYvHr1CkFBQVi1ahXu3LmDefPm6X0+lV4H7u7u2LRpEwYMGIB8+fIl6nuuSZMm8PPzQ7FixVCmTBmcO3cOc+bMiXV9aWuy161bh+LFi8PGxgb29vZx3ngqWrQoevXqhUWLFsHIyAgNGzbE7du3MX78eDg4OHxxlg01zZs3DxMmTECDBg3QuHHjWFNTVq1aVbfs6emJSpUqoUmTJhg1ahQ+fPiACRMmIEeOHBg2bJje686ePYvbt28DkFM4CiGwefNmAEClSpXg6OgIQHa3Wr58Ofr164enT5+iRIkS2L9/P5YsWYJ+/frp0hFROqXm6IBERKnt09H4ExLX6MbPnj0Tffr0EXny5BEmJibC0dFRjB49Wnz48EEvHf4/Yv3nPh/lWQghRo8eLezt7YWRkZEAIA4dOqRL27hx41j7+HxU9Pjs379flC9fXpibm8camf3o0aPiu+++E9bW1sLS0lJUrVpV/Pnnn1/cZ0Ln9qn4ZhlYuXKlKFOmjDAzMxOZM2cWzZs3jzUKfJcuXYS1tXWsfX4+OndC56hN++TJE7302vc+vhHVP7dt2zbRuHFjkTNnTmFiYiKyZs0qateuLXx8fER4eLgQIuER0fHZiOr37t0TrVu3FlmzZhWZMmUSDRo0EBcvXox1XcR3jWpHBddeI0LIUe09PDxErly5hIWFhahatao4ceKEyJw5s97I50LIGQwGDRoknJychKmpqciWLZtwdnYWY8eOFW/evEkwL+IbjT8x5x2XvXv3Cnd3d1GiRAmROXNmYWJiIvLkySNatWoVa3Tz58+fizZt2ogsWbIIjUajdx2sWrVKFC1aVJibm4sCBQqIGTNmCF9f31jvs5LP07Fjx0TVqlWFubm5sLOzEyNGjBArVqyItc/jx4+LatWqCSsrK5EzZ07Ro0cPcf78+VgjzMd3TQshxMuXL4W7u7vIkiWLsLKyEvXq1RP//vuvotH4tQ9jY2ORNWtW4ezsLIYMGRLvDAtKroPo6Gjh4OAgAIixY8fGG8On5/vixQvRvXt3kStXLmFlZSW+/fZbcfTo0TjzesOGDaJYsWLC1NRU75zj+rxHR0eLWbNmiSJFighTU1ORI0cO0alTJ/Hff//ppXN1dRUlS5aMFWuXLl0SNatDfKPx//77718897hoZweI7/G5s2fPijp16ggrKytha2srWrRoIW7cuBHn+cS3z89jevbsmejdu7fInTu3MDU1FUWKFBFz5swR0dHRX8wPIkrbNEJ8NlQrERERpVnHjx+Hi4sL1q1bl6wjuxMREVHawsI+ERFRGhUQEIATJ07A2dkZlpaW+PvvvzFz5kxkzpwZ//zzT5IG9CIiIqL0gX32iYiI0ihbW1vs27cP3t7eeP36NXLkyIGGDRtixowZLOgTERFlcKzZJyIiIiIiIkpnOPUeERERERERUTrDwj4RERERERFROsPCPhEREREREVE6wwH6kigmJgYPHjxApkyZoNFo1A6HiIiIiIiI0jkhBF6/fg17e3sYGSVcd8/CfhI9ePAADg4OaodBREREREREGcx///2HfPnyJZiGhf0kypQpEwCZyba2tipHE7/IyEjs27cPbm5uMDU1VTucNIF5phzzTDnmmXLMM+WYZ8oxz5RhfinHPFOOeaYc80y5tJJnYWFhcHBw0JVHE8LCfhJpm+7b2toafGHfysoKtra2Bn3RGhLmmXLMM+WYZ8oxz5RjninHPFOG+aUc80w55plyzDPl0lqeJaYrOQfoIyIiIiIiIkpnWNgnIiIiIiIiSmdY2CciIiIiIiJKZ9hnn4iIiDIEIQSioqIQHR0db5rIyEiYmJjgw4cPCaYjifmlHPNMOeaZcswz5Qwlz4yNjWFiYpIs07uzsE9ERETpXkREBEJDQ/Hu3bsE0wkhYGdnh//++y9Zfmild8wv5ZhnyjHPlGOeKWdIeWZlZYU8efLAzMzsq/bDwj4RERGlazExMQgJCYGxsTHs7e1hZmYW7w+5mJgYvHnzBjY2NjAyYm/HL2F+Kcc8U455phzzTDlDyDMhBCIiIvDkyROEhISgcOHCXxULC/tERESUrkVERCAmJgYODg6wsrJKMG1MTAwiIiJgYWHBH8iJwPxSjnmmHPNMOeaZcoaSZ5aWljA1NcWdO3d08SQV33kiIiLKEPiDl4iI0oLk+n/F/3pERERERERE6QwL+0REqSw6GggM1ODIkbwIDNSAg+QSERERUXJjYZ+IKBX5+wP58wP16pnAy6si6tUzQf78cj0RGb7oaODwYWDDBvk3I92s02g0+OOPP9QOQ3W1atXCkCFDUmTf+fPnh7e3d4rsOzWkx2vEz88PWbJkSXP7ToquXbuiRYsWBrOfhNy+fRsajQbBwcEpepy0joV9IqJU4u8PtGkD3Lunv/7+fbmeBX4iw6a9WVe7NtChg/yb0jfrunbtCo1Ggz59+sTa1q9fP2g0GnTt2jVZjzlp0iSUK1cuWfaVXIVXPz8/aDQaFC9ePNa23377DRqNBvnz5//q43zq8OHD0Gg0ePnyZbLsLywsDGPHjkWJEiVgZ2cHe3t71K1bF/7+/hBCJMsx1BYaGoqGDRt+1T6CgoLQpEkT5MqVCxYWFsifPz++//57PHv2DEDyvy+GTqPR6B7W1tYoXLgwunbtinPnziX7sRYsWAA/P79Ep4+vwK10P0nh4OCA0NBQlCpVKsn7uH37Nrp37w4nJydYWlqicOHCmDFjBiIiIvTS3b17F02bNoW1tTVy5MiBQYMG6aX58OEDunbtitKlS8PExCTeGx3h4eEYO3YsHB0dYW5ujoIFC2LVqlVJjj8xWNgnIkoF0dHA4MFAXL/ntOuGDMlYtYREaYmaN+scHBywceNGvH//Xrfuw4cP2LBhA7755puUO7CBsba2xuPHj3HixAm99atWrTL4fHj58iWqV6+OX375BT/99BMOHz6Mw4cPo3379hg5ciRevXqldojJws7ODubm5kl+/ePHj1G3bl3kyJEDe/fuxZUrV7Bq1SrkyZMH7969S8ZIU9fnhUelVq9ejdDQUFy6dAlLlizBmzdvUKVKFfzyyy/JFKGUOXPmZGlpkFz7SYixsTHs7OxgYpL0yeX+/fdfxMTEYPny5bh06RLmzZuH1atXY+zYsbo00dHRaNy4Md6+fYu//voLGzduxJYtWzBs2DC9NJaWlhg0aBDq1q0b7/HatWuHAwcOwNfXF1evXsWGDRtQrFixJMefKIKS5NWrVwKAePXqldqhJCgiIkL88ccfIiIiQu1Q0gzmmXLMsy87dEgIWaxP+HHokNqRGi5eZ8oxz6T379+Ly5cvi/fv3+vWxcQI8eZN7EdYWLS4d++FCAuL1q179UqIvHnj/9xqNELkyyfTxbXPTx8xMcpi79Kli2jevLkoXbq0WLt2rW79unXrROnSpUXz5s1Fly5ddOs/fPggBg4cKHLmzCnMzc2Fi4uLOH36tG77oUOHBACxf/9+4ezsLCwtLUW1atXEv//+K4QQYvXq1QKA3mP16tVCCCEAiJ9//lm0aNFCWFpaikKFComtW7eKFy9eiOjo6Fixu7q6xtqX1ubNm0WJEiWEmZmZcHR0FHPnzk0wH1avXi0yZ84sBgwYIHr06KFb/99//wlzc3MxatQo4ejoqPeapUuXigIFCghTU1NRpEgR8csvv+htj+t8tm3bJoQQIiQkJFbs2nx2dXUVAwcOFCNGjBBZs2YVuXPnFhMnTkww/r59+wpra2tx//59ER0drZdnr1+/FpGRkUIIIRwdHcW0adNEt27dhI2NjXBwcBDLly/X29fIkSNF4cKFhaWlpXBychLjxo3T+4xPnDhRlC1bVvzyyy/C0dFR2Nraivbt24uwsDBdmrCwMNGhQwdhZWUl7OzshJeXl3B1dRWDBw/WpQkPDxcjRowQ9vb2wsrKSlSuXFkc+sI/KQBi69atenm4ZcsWUatWLWFpaSnKlCkjjh8/Hu/rt27dKkxMTHT5oaXNs5s3b8b7vuzevVu4uLiIzJkzi2zZsonGjRuLGzdu6PaR2HhWr14tHBwchKWlpWjRooWYO3euyJw5s277jRs3RLNmzUSuXLmEtbW1qFixoggICNDbh6Ojo5gyZYro0qWLsLW1FZ07d07Uvr+Up5/q3LmzyJQpk3j+/Llu3bFjx0SNGjWEhYWFyJcvn+jVq5fufR81apSoUqVKrP2ULl1aTJgwQQjx8ftG60t5+vl74erqGud+vvZ7KS7a9zMoKCjJ+/hcdHS08PT0FE5OTrp1u3btEkZGRuL+/fu6dRs2bBDm5uZxlgM/P3et3bt3i8yZM4tnz54lKpa4/m9pKSmHsmafiCgVhIYmbzoi+jrv3gE2NrEftrZGyJcvC2xtjXTrMmeWNfjxEULW+GfOHPc+P30ktXKyW7duWL16te75qlWr4O7uHivdyJEjsWXLFqxZswbnz59HoUKFUL9+fTx//lwv3dixYzFv3jycPXsWJiYmun21b98ew4YNQ8mSJREaGorQ0FC0b99e9zpPT0+0a9cO//zzDxo1aoQff/wRL168iDNmf39/5MuXD5MnT9btCwDOnTuHdu3a4fvvv8eFCxcwadIkjB8/PlHNfrt3745Nmzbpann9/PzQoEED5M6dWy/d1q1bMXjwYAwbNgwXL15E79690a1bNxw6dEgv3efn07FjRzx//hwODg7YsmULAODq1asIDQ3FggULdK9bs2YNrK2tcerUKcyePRuTJ09GQEBAnDHHxMRg48aN6NixI+zt7WNtt7Gx0audnDdvHipWrIigoCD069cPffv2xb///qvbnilTJvj5+eHy5ctYsGABfv75Z8yfP19vnzdv3sQff/yBHTt2YMeOHQgMDMTMmTN12z08PHDs2DFs374dAQEBOHr0KM6fP6+3j27duuHYsWPYuHEj/vnnH7Rt2xYNGjTA9evX4zzP+IwdOxbDhw9HcHAwihQpgh9++AFRUVFxprWzs0NUVBS2bt0aZ9eGhN6Xt2/fwsPDA2fOnMGBAwdgZGSEli1bIiYmJtHxnDp1Cu7u7ujXrx+Cg4NRu3ZtTJ06Ve/1b968QaNGjbB//34EBQWhfv36aNq0Ke7evauXbs6cOShVqhTOnTuH8ePHJ2rfSgwdOhSvX7/WXXcXLlxA/fr10apVK/zzzz/YsGEDTp48iYEDBwIAOnbsiFOnTuHmzZu6fVy6dAkXLlxAx44d4zzGl/L09OnTAID9+/cjNDQU/vE0cfra7yUlvnYfYWFhyJYtm+75iRMnUKpUKb3Pbv369REeHq6oK8X27dtRsWJFzJ49G3nz5kWRIkUwfPhwvRZbKSJRtxYoFtbsp1/MM+WYZ1/Gmv2vx+tMOeaZFFcNyZs3iftMJvfjzRtlsWtriZ48eSLMzc1FSEiIuH37trCwsBBPnjzRq9l/8+aNMDU1FevWrdO9PiIiQtjb24vZs2cLIfRrv7R27twpAOjyR1sz/DkAYty4cZ/k4Ruh0WjE77//HmfNvhCyhnP+/Pl66zp06CDq1aunt27EiBGiRIkS8eaDtmZfCCHKlSsn1qxZI2JiYkTBggXFtm3bxPz58/Vq9qtXry569uypt4+2bduKRo0affF8du/eLYT4mFcvXrzQ24+rq6v49ttv9dZVqlRJ/PTTT3HG/ujRIwFAeHl5CSFErJr9Tzk6OopOnTrpnsfExIhcuXKJZcuWxZMzQsyePVs4Ozvrnk+cOFFYWVnp1eSPGDFCV6sbFhYmTE1Nxe+//67b/vLlS2FlZaWr2b9x44bQaDR6tZlCCFGnTh0xevToeGNBHDX7K1eu1G2/dOmSACCuXLkS7z7GjBkjTExMRLZs2USDBg3E7NmzxYMHD3R5Ft/78rnHjx8LAOLChQuJjueHH34QDRo00NtP+/btv1j7XqJECbFo0SLdc0dHR9GiRQu9NEnd96d5+qn3798LAGLWrFlCCCF+/PFH0atXL9326OhoXa209rNdpkwZMXnyZF2a0aNHi0qVKumex1crrRVfnmpr1+PaT3J9L30uoZr9xO7jc9euXROZMmXSa03Ts2fPWN9XQghhZmYm1q9fH2t9fHlYv359YW5uLho3bixOnToldu7cKRwdHUW3bt3ijIU1+0REaUiNGkC+fIBGE/d2jQZwcJDpiCjlWVkBb97EfoSFxeDevZcIC4vRrdu1K3H73LUr7n1++rCySlq8OXLkQOPGjbFmzRqsXr0ajRs3Ro4cOfTS3Lx5E5GRkXBxcdGtMzU1ReXKlXHlyhW9tGXKlNEt58mTB4DsL/0ln77O2toamTJlwtOnTxWdy5UrV/RiBAAXFxdcv34d0YkYuMTd3R2rV69GYGCgrpY1scdIKB+056M0HwCZh/G9Tvy/hloT3z+ABPat0WhgZ2ent+/Nmzfj22+/hZ2dHWxsbDB+/PhYtcr58+dHpkyZ4ozv1q1biIyMROXKlXXbM2fOjKJFi+qenz9/HkIIFClSBDY2NrpHYGCgXs2w0vNJzLU2bdo0PHz4ED4+PihRooTu76VLlxI8zs2bN9GhQwcUKFAAtra2cHJyAoBYeZNQPFeuXEG1atX00n/+/O3btxg5ciRKlCiBLFmywMbGBv/++2+s41SsWFHveWL2rcTn19W5c+fg5+ene69sbW3Rpk0bxMTEICQkBICs3V+3bp3u9Rs2bIi3Vh9IfJ4mJDW+l5JjHw8ePECjRo3QokUL9OjRQ29bXJ9dIUSiP9OAbOGj0Wiwbt06VK5cGY0aNYKXlxf8/PxStHY/6SMaEBFRohkbAwsWAK1bx71dCMDbW6YjopSn0QDW1rHXx8TIgTKtrQGj/1eJuLnJm3X378c9yKZGI7e7uaXsZ9jd3R0DBgwAACxZsiTW9vgKlXH9KDU1NdUta7d93tw5Lp++TvvaxLzuS/GIuDI2Hh07dsTIkSMxadIkdO7cOd4BupTmg/Y1yZ0POXPmRNasWWMVbJKy75MnT+L777+Hp6cn6tevj8yZM2Pjxo2YN29eoveR0HWiFRMTA2NjY5w7dw7Gn13UNjY2iTqPuGJJ7LWWPXt2tG3bFm3btsWMGTNQvnx5LF68OMHCcdOmTeHg4ICff/4Z9vb2iImJQalSpWINjpdQPIm5DkeMGIG9e/di7ty5KFSoECwtLdGmTZtYx7H+7AtGyTWeGNrrSVsAj4mJQe/evTFo0CDd8zdv3sDGxkY3U0WHDh0watQonD9/Hu/fv8d///2H77//Pt5jJDZPE5Ia30tfu48HDx6gdu3aqFq1aqzZQ+zs7HDq1Cm9dS9evEBkZGSs7kMJyZMnD/LmzYvMmTPr1hUvXhxCCNy7dw+FCxdO9L6UYM0+EVEqcXOLv1bP3BwoXz514yGixNHerANit87RPk+Nm3UNGjRAREQEIiIiUL9+/VjbCxUqBDMzM/z111+6dZGRkTh79mycU9bFx8zMLFE17EndV4kSJfRiBIDjx4+jSJEisQqWccmWLRuaNWuGwMDAePvjFi9ePM5jKM0HAF+dF0ZGRmjfvj3WrVuHBw8exNr+9u3bePuwf+7YsWNwdHTE2LFjUbFiRRQuXBh37txRFE/BggVhamqq628NyH7Kn/bFL1++PKKjo/H48WMUKlRI72FnZ6foeF/LzMwMBQoU0I3TENf78uzZM1y5cgXjxo1DnTp1ULx48XjHkkhIiRIlcPLkSb11nz8/evQounbtipYtW6J06dKws7PD7du3k2XfSnh7e8PW1lY3+nuFChVw6dIlvfeqQIECuu8FAMiXLx9q1qyJdevWYd26dahbt268BdbE5GliPiPJ9b2UUu7fv49atWqhQoUKWLVqFYyM9IvH1apVw8WLF3VjjgDAvn37YG5uDmdn50Qfx8XFBQ8ePMCbN290665duwYjIyPky5fv608kHizsExGlkl9+kYNzFSoE7N0bBQ+Ps9i7Nwo1agDh4UCPHnHXGhKR+lq1AjZvBvLm1V+fL59c36pVysdgbGyMK1eu4MqVK3EWiq2trdG3b1+MGDECe/bsweXLl9GzZ0+8e/cO3bt3T/Rx8ufPj5CQEAQHB+Pp06cIDw9Pcsz58+fHkSNHcP/+fV1z/2HDhuHAgQOYMmUKrl27hjVr1mDx4sUYPnx4ovfr5+eHp0+fxjtt1YgRI+Dn5wcfHx9cv34dXl5e8Pf3V3QMR0dHaDQa7NixA0+ePNH7ka7U9OnT4eDgoJsu7d9//8X169exatUqlCtXLtH7LlSoEO7evYuNGzfi5s2bWLhwIbZu3aoolkyZMqFLly4YMWIEDh06hEuXLsHd3R1GRka6mtAiRYqgY8eO6Ny5M/z9/RESEoIzZ85g1qxZ2JXYfi1JsGPHDnTq1Ak7duzAtWvXcPXqVcydOxe7d+9Gw4YNAcT9vmTNmhXZs2fHihUrcOPGDRw8eBAeHh6Kjz9o0CDs2bMHs2fPxrVr17B48WLs2bNHL02hQoXg7++P4OBg/P333+jQoUOiap8Ts+/4vHz5Eg8fPsSdO3cQEBCANm3aYP369Vi2bJluiruffvoJJ06cQP/+/REcHIzr169j165dupp+rY4dO2Ljxo34/fff0alTp3iPmZg8zZUrFywtLbFnzx48evQozikkk+t7KSU8ePAAtWrVgoODA+bOnYsnT57g0aNHePjwoS6Nm5sbSpQogR9//BFBQUE4cOAAhg8fjp49e8LW1laX7vLlywgODsbz58/x6tUrBAcHIzg4WLe9Q4cOyJ49O7p164bLly/jyJEjGDFiBNzd3WFpaZli58jCPhFRKoiJARYulMuDBgG1awvUrHkftWsLrFoFWFoCBw8CK1aoGycRxa9VK+D2beDQIWD9evk3JCR1Cvpatra2ej8wPzdz5ky0bt0aP/74IypUqIAbN25g7969yJo1a6KP0bp1azRo0AC1a9dGzpw5sWHDhiTHO3nyZNy+fRsFCxZEzpw5AcgayN9++w0bN25EqVKlMGHCBEyePBldu3ZN9H4tLS2RPXv2eLe3aNECCxYswJw5c1CyZEksX74cq1evRq1atRJ9jLx588LT0xOjRo1C7ty5dV0okiJr1qw4efIkOnXqhOnTp8PV1RWurq7YsGED5syZo9e0NyHNmzfH0KFDMWDAAJQrVw7Hjx/H+PHjFcfj5eWFatWqoUmTJqhbty5cXFxQvHhxWFhY6NKsXr0anTt3xrBhw1C0aFE0a9YMp06dgoODg+LjJVaJEiVgZWWFYcOGoVy5cqhatSp+++03rFixQtfcPK73xcjICBs3bsS5c+dQqlQpDB06FHPmzFF8/KpVq2LlypVYtGgRypUrh3379mHcuHF6aebPn4+sWbOievXqaNq0KerXr48KFSoky77j061bN+TJkwfFihVD3759YWNjg9OnT6NDhw66NGXKlEFgYCCuX7+OGjVqwNnZGdOnT9f1W9dq27Ytnj17hnfv3qFFixbxHjMxeWpiYoKFCxdi+fLlsLe3R/PmzePcV3J8L6WEffv26W5k5MuXD3nz5kWxYsWQ95O7usbGxti5cycsLCzg4uKCdu3aoUWLFpg7d67evho1aoTy5cvjzz//xOHDh1G+fHmU/6TJpo2NDQICAvDy5UtUrFgRHTt2RNOmTbFQ++MwhWhEcncgySDCwsKQOXNmvHr1KsF/umqLjIzErl270KhRo1j9tyhuzDPlmGdftncv0KABkCmT7PdrYaGfZ97ewNChcvvFi8A336gdseHhdaYc80z68OEDQkJC4OTkpFeYiUtMTAzCwsJga2sbqzknxcb8Us4Q8+zt27fImzcv5s2bp3pta1wMMc8MHfNMOUPKs4T+bykph/KdJyJKBdr+vu7uskD/uYEDgerVgdevgZ492ZyfiIhSTlBQEDZs2ICbN2/i/PnzuhHZ46uZJaK0iYV9IqIUdu0asHu3HMgrvlagxsbAqlWAhQWwb59cJiIiSilz585F2bJlUbduXbx9+xZHjx6NNZ0jEaVtnHqPiCiFLVok/zZuLAfni0/RosCUKcCIEYCHB1C/vhz8i4iIKDmVL18e586dUzsMIkphrNknIkpBr14Bfn5yefDgL6cfOhSoUgUICwN692ZzfiIiIiJKGhb2iYhS0OrVwJs3QIkSQJ06X06vbc5vZgbs2gX8+mvKx0iUUXBMYiIiSguS6/8VC/tERCkkOvpjE/5Bg2Sf/cQoUQLw9JTLgwcDDx6kTHxEGYV2JoJ3796pHAkREdGXaf9ffe1MOuyzT0SUQnbtAm7dArJmBTp1Uvba4cOBLVuAs2eBvn2BP/5I/M0CItJnbGyMLFmy4PHjxwAAKysraOL5QMXExCAiIgIfPnxQfeqltID5pRzzTDnmmXLMM+UMIc+EEHj37h0eP36MLFmywNjY+Kv2x8I+EVEK0U6316MHYG2t7LUmJrILQIUKwPbtwIYNQIcOyR8jUUZhZ2cHALoCf3yEEHj//j0sLS3jvSFAHzG/lGOeKcc8U455ppwh5VmWLFl0/7e+Bgv7REQp4NIl4MABwMgI6N8/afsoVQqYMAEYPx4YOFD2+c+dO3njJMooNBoN8uTJg1y5ciEyMjLedJGRkThy5Ahq1qz51c0nMwLml3LMM+WYZ8oxz5QzlDwzNTX96hp9LdUL+0uXLsWcOXMQGhqKkiVLwtvbGzVq1Ig3fWBgIDw8PHDp0iXY29tj5MiR6NOnj267n58funXrFut179+/h4WFBQDg9evXGD9+PLZu3YrHjx+jfPnyWLBgASpVqpT8J0hEGdLChfJvixaAo2PS9/PTT4C/PxAUBPTrB2zezOb8RF/D2Ng4wR9RxsbGiIqKgoWFBX8gJwLzSznmmXLMM+WYZ8qlxzxTtQPHpk2bMGTIEIwdOxZBQUGoUaMGGjZsiLt378aZPiQkBI0aNUKNGjUQFBSEMWPGYNCgQdiyZYteOltbW4SGhuo9tAV9AOjRowcCAgLw66+/4sKFC3Bzc0PdunVx//79FD1fIsoYnj//OIp+YqbbS4ipqWzOb2IiC/2///718RERERFR+qdqYd/Lywvdu3dHjx49ULx4cXh7e8PBwQHLli2LM72Pjw+++eYbeHt7o3jx4ujRowfc3d0xd+5cvXQajQZ2dnZ6D633799jy5YtmD17NmrWrIlChQph0qRJcHJyive4RERKrFwJvH8PlC0LJNBQKdHKlgXGjJHL/fsDT558/T6JiIiIKH1TrRl/REQEzp07h1GjRumtd3Nzw/Hjx+N8zYkTJ+Dm5qa3rn79+vD19UVkZKSuucWbN2/g6OiI6OholCtXDlOmTEH58uUBAFFRUYiOjtar6QcAS0tL/PXXX/HGGx4ejvDwcN3zsLAwALJvR0J9/9Smjc2QYzQ0zDPlmGcfRUUBS5aYANBgwIAoREXFPU+q0jwbORLw9zfBxYsa9OsXg/Xro5Mr5DSD15lyzDPlmGfKML+UY54pxzxTjnmmXFrJMyXxaYQQcf8STWEPHjxA3rx5cezYMVSvXl23fvr06VizZg2uXr0a6zVFihRB165dMUZbxQXg+PHjcHFxwYMHD5AnTx6cPHkSN27cQOnSpREWFoYFCxZg165d+Pvvv1G4cGEAQPXq1WFmZob169cjd+7c2LBhAzp37ozChQvHeVwAmDRpEjy1E19/Yv369bCysvra7CCidOL48TyYPbsybG3DsXLlPpiZxSTbvm/ezIwRI2oiJsYIP/10GtWqhSbbvomIiIjI8L179w4dOnTAq1evYGtrm2Ba1Qfo+3xaAyFEglMdxJX+0/VVq1ZF1apVddtdXFxQoUIFLFq0CAv/P2LWr7/+Cnd3d+TNmxfGxsaoUKECOnTogPPnz8d73NGjR8PDw0P3PCwsDA4ODnBzc/tiJqspMjISAQEBqFevXroZaCKlMc+UY559NHeuHPirXz8TtGjRIN50Sc2zx48FZs0CVq+uhCFDopA9+1eHnGbwOlOOeaYc80wZ5pdyzDPlmGfKMc+USyt5pm1hnhiqFfZz5MgBY2NjPHz4UG/948ePkTueuaXs7OziTG9iYoLs8fziNTIyQqVKlXD9+nXduoIFCyIwMBBv375FWFgY8uTJg/bt28PJySneeM3NzWFubh5rvampqUFfDFppJU5DwjxTLqPnWVAQ8NdfcjC9AQOMYWr65WlTlOaZpyfw55/A5csaDB9uirVrvybitCmjX2dJwTxTjnmmDPNLOeaZcswz5Zhnyhl6nimJTbUB+szMzODs7IyAgAC99QEBAXrN+j9VrVq1WOn37duHihUrxnvSQggEBwcjT548sbZZW1sjT548ePHiBfbu3YvmzZsn8WyIiD5Ot9emDZA3b8ocw9xcjs5vZASsWwds354yxyEiIiKitE3V0fg9PDywcuVKrFq1CleuXMHQoUNx9+5d9OnTB4BsOt+5c2dd+j59+uDOnTvw8PDAlStXsGrVKvj6+mL48OG6NJ6enti7dy9u3bqF4OBgdO/eHcHBwbp9AsDevXuxZ88ehISEICAgALVr10bRokXRrVu31Dt5IkpXHj8G1q+Xy1873d6XVK4MaL/2+vQBXrxI2eMRERERUdqjap/99u3b49mzZ5g8eTJCQ0NRqlQp7Nq1C46OjgCA0NBQ3L17V5feyckJu3btwtChQ7FkyRLY29tj4cKFaN26tS7Ny5cv0atXLzx8+BCZM2dG+fLlceTIEVSuXFmX5tWrVxg9ejTu3buHbNmyoXXr1pg2bZpBN9cgIsO2YgUQEQFUqgRUqZLyx/P0BLZtA65eBYYOBfz8Uv6YRERERJR2qD5AX79+/dCvX784t/nF8evV1dU1wYH05s+fj/nz5yd4zHbt2qFdu3aK4iQiik9kJLB0qVwePBhIYIzRZGNhIZvzu7gAa9YAbdsCjRun/HGJiIiIKG1QtRk/EVF6sHkzEBoK2NnJQndqqVZN1uoDQO/ewKtXqXdsIiIiIjJsLOwTEX0l7cB8ffsCZmape+wpU4BChYD794Fhw1L32ERERERkuFjYJyL6CqdPAydPykJ+796pf3wrK2DVKtl1wNcX2Lcv9WMgIiIiIsPDwj4R0VdYsED+/f57IHdudWKoUQMYOFAu9+gBhIWpEwcRERERGQ4W9omIkujBA+C33+TyoEHqxjJ9OlCgAPDff8DIkerGQkRERETqY2GfiCiJfHyAqCg5Ir6zs7qxWFvLZvwAsHw5cPCguvEQERERkbpY2CciSoLwcFnYB+R0e4agVi1AO5Np9+7AmzeqhkNEREREKmJhn4goCTZuBJ48AfLlA1q0UDuaj2bNAhwdgdu3gVGj1I6GiIiIiNTCwj4RkUJCfByYr39/wNRU3Xg+ZWMDrFwpl5csAQID1Y2HiIiIiNTBwj4RkULHjgFBQYCFBdCzp9rRxFa37se4uncH3r5VNx4iIiIiSn0s7BMRKbRwofzbqROQPbu6scRn7lzAwQG4eRMYO1btaIiIiIgotbGwT0SkwH//Af7+clnt6fYSYmsL/PyzXF64ULZGICIiIqKMg4V9IiIFliwBoqOB2rWB0qXVjiZh9esD3brJMQbc3YH379WOiIiIiIhSCwv7RESJ9O7dx9pyQ5lu70u8vAB7e+DaNWDCBLWjISIiIqLUwsI+EVEirVsHPH8OODkBTZqoHU3iZMkCrFghl728gJMnVQ2HiIiIiFIJC/tERIkgxMeB+QYMAIyN1Y1HicaNgR9/BGJiZLP+Dx/UjoiIiIiIUhoL+0REiXDoEHDxImBtLfu/pzXe3oCdHfDvv4Cnp9rREBEREVFKY2GfiCgRtLX6XbrIpvFpTbZsgI+PXJ49GzhzRt14iIiIiChlsbBPRPQFt24B27fL5YED1Y3lazRvDvzww8fm/OHhakdERERERCmFhX0ioi9YskT22a9fHyhWTO1ovs7ChUCuXMClS8DUqWpHQ0REREQphYV9IqIEvHkD+PrK5bQy3V5CcuSQNy8AYMYM4Px5deMhIiIiopTBwj4RUQLWrAFevQKKFJE1++lBmzZA27ZAdLRszh8RoXZERERERJTcWNgnIopHTAywaJFcHjgQMEpH35iLF8ta/n/+kTX8RERERJS+pKOfrkREyWvfPuDqVcDWVo7Cn57kyvXxRsbUqcDff6sbDxERERElLxb2iYjioZ1uz90dyJRJ3VhSQvv2QIsWQFSUbM4fGal2RERERESUXFjYJyKKw9WrwO7dgEYDDBigdjQpQ6MBli0DsmYFgoKA2bPVjoiIiIiIkgsL+0REcVi8WP5t0gQoWFDdWFKSnd3HFgyTJ8sp+YiIiIgo7WNhn4joM69eAX5+cnnQIFVDSRUdO8qbGhERsjl/VJTaERERERHR12Jhn4joM6tXA2/eACVLAnXqqB1NytNogOXLgSxZgDNngHnz1I6IiIiIiL4WC/tERJ+Ijv44Sv2gQbIgnBHY2wPz58vliROBf/9VNx4iIiIi+jos7BMRfWLnTuDWLTloXadOakeTurp0ARo2BMLDZXP+6Gi1IyIiIiKipGJhn4joE9rB6nr2BKys1I0ltWmb82fKBJw8CSxYoHZERERERJRULOwTEf3fxYvAgQOAkRHQr5/a0ajDwQHw8pLLY8cC166pGw8RERERJQ0L+0RE/6ftq9+yJeDoqG4saureHahXD/jwQS7HxKgdEREREREpxcI+ERGA58+BX3+Vyxlhur2EaDTAzz8DNjbAX38BixerHRERERERKcXCPhERgJUrgffvgXLlgBo11I5GfY6OwJw5cnnUKODmTXXjISIiIiJlWNgnogwvKupj7XVGmm7vS3r1AmrXljdB2JyfiIiIKG1hYZ+IMrw//gD++w/IkQP44Qe1ozEcRkayxYOVFRAYCPj4qB0RERERESUWC/tElOFpp9vr3RuwsFA3FkNToAAwc6ZcHjkSuH1b1XCIiIiIKJFY2CeiDC0oCDh6FDAxybjT7X1J//5yHIO3b4EePQAh1I6IiIiIiL6EhX0iytC0tfpt2wL29urGYqiMjIBVqwBLS+DAATlSPxEREREZNhb2iSjDevwYWL9eLmf06fa+pFAhYNo0uTx8OHD3rrrxEBEREVHCVC/sL126FE5OTrCwsICzszOOHj2aYPrAwEA4OzvDwsICBQoUgM9nI0b5+flBo9HEenz48EGXJioqCuPGjYOTkxMsLS1RoEABTJ48GTEcapooQ1mxAoiIACpXBqpWVTsawzdoEFCtGvD6NdCzJ5vzExERERkyVQv7mzZtwpAhQzB27FgEBQWhRo0aaNiwIe7GU2UUEhKCRo0aoUaNGggKCsKYMWMwaNAgbNmyRS+dra0tQkND9R4Wn4y6NWvWLPj4+GDx4sW4cuUKZs+ejTlz5mDRokUper5EZDgiIoClS+Uya/UTx9gYWL0aMDcH9u2Ty0RERERkmFQt7Ht5eaF79+7o0aMHihcvDm9vbzg4OGDZsmVxpvfx8cE333wDb29vFC9eHD169IC7uzvmzp2rl06j0cDOzk7v8akTJ06gefPmaNy4MfLnz482bdrAzc0NZ8+eTbFzJSLDsmULEBoK2NnJ/vqUOEWLAlOmyGUPD+D+fXXjISIiIqK4mah14IiICJw7dw6jRo3SW+/m5objx4/H+ZoTJ07Azc1Nb139+vXh6+uLyMhImJqaAgDevHkDR0dHREdHo1y5cpgyZQrKly+ve823334LHx8fXLt2DUWKFMHff/+Nv/76C97e3vHGGx4ejvDwcN3zsLAwAEBkZCQiIyMVnXtq0sZmyDEaGuaZcmkxz7y9jQEYoVevaGg0MUjt0NNinmkNHAj8/rsxzpwxQq9eMdi6NRoaTcofNy3nmVqYZ8oxz5RhfinHPFOOeaYc80y5tJJnSuJTrbD/9OlTREdHI3fu3Hrrc+fOjYcPH8b5mocPH8aZPioqCk+fPkWePHlQrFgx+Pn5oXTp0ggLC8OCBQvg4uKCv//+G4ULFwYA/PTTT3j16hWKFSsGY2NjREdHY9q0afjhhx/ijXfGjBnw9PSMtX7fvn2wsrJSevqpLiAgQO0Q0hzmmXJpJc+uXcuK06drwsQkGgUKBGDXrvAvvyiFpJU8+1znzpkQFOSKXbuMMXJkMGrX/i/Vjp1W80xNzDPlmGfKML+UY54pxzxTjnmmnKHn2bt37xKdVrXCvpbms+ogIUSsdV9K/+n6qlWrouonI225uLigQoUKWLRoERb+f46tTZs2Ye3atVi/fj1KliyJ4OBgDBkyBPb29ujSpUucxx09ejQ8PDx0z8PCwuDg4AA3NzfY2toqOOPUFRkZiYCAANSrV0/X8oESxjxTLq3l2caNxgCA77/XoEOHOqrEkNbyLC4vXwLjxwNr1pSHh0dp5MmTssdLD3mW2phnyjHPlGF+Kcc8U455phzzTLm0kmfaFuaJoVphP0eOHDA2No5Vi//48eNYtfdadnZ2caY3MTFB9uzZ43yNkZERKlWqhOvXr+vWjRgxAqNGjcL3338PAChdujTu3LmDGTNmxFvYNzc3h7m5eaz1pqamBn0xaKWVOA0J80y5tJBnDx4AmzfL5aFDjWBqqu6kJGkhz+IzahTwxx/AuXMaDBpkiq1bkSrN+dNynqmFeaYc80wZ5pdyzDPlmGfKMc+UM/Q8UxKbar9yzczM4OzsHKuZREBAAKpXrx7na6pVqxYr/b59+1CxYsV4T1oIgeDgYOT5pMrp3bt3MDLSP3VjY2NOvUeUAfj4AFFRwLffAhUqqB1N2mZiIkfkNzUFtm0DNm5UOyIiIiIi0lK1SsvDwwMrV67EqlWrcOXKFQwdOhR3795Fnz59AMim8507d9al79OnD+7cuQMPDw9cuXIFq1atgq+vL4YPH65L4+npib179+LWrVsIDg5G9+7dERwcrNsnADRt2hTTpk3Dzp07cfv2bWzduhVeXl5o2bJl6p08EaW6Dx9kYR/gdHvJpXRp2ZQfAAYMAB49UjceIiIiIpJU7bPfvn17PHv2DJMnT0ZoaChKlSqFXbt2wdHREQAQGhqKu3fv6tI7OTlh165dGDp0KJYsWQJ7e3ssXLgQrVu31qV5+fIlevXqhYcPHyJz5swoX748jhw5gsqVK+vSLFq0COPHj0e/fv3w+PFj2Nvbo3fv3pgwYULqnTwRpbpNm4AnT4B8+QDe20s+o0YB/v5AcDDQv//HbhJEREREpB7VB+jr168f+vXrF+c2Pz+/WOtcXV1x/vz5ePc3f/58zJ8/P8FjZsqUCd7e3glOtUdE6YsQwIIFcrl/f9kEnZKHqalszl+pErBlC/D770DbtmpHRURERJSxqTsyFRFRKjl2DAgKAiwsgJ491Y4m/SlXDhg9Wi736ydbUBARERGReljYJ6IMQVur36kTEM/kHfSVxo2TffifPgUGDlQ7GiIiIqKMjYV9Ikr37t4Ftm6VyxyYL+WYmcnm/MbGcnwEbZ4TERERUepjYZ+I0r2lS4HoaKB2bVnzTCnH2RkYOVIu9+0LPHumbjxEREREGRUL+0SUrr17B6xYIZcHD1Y3loxi4kSgRAk5DR/znIiIiEgdLOwTUbq2bh3w4gXg5AQ0aaJ2NBmDublszm9kJPP/zz/VjoiIiIgo42Fhn4jSrU+n2xswQPYlp9RRuTIwbJhc7t1b3nAhIiIiotTDwj4RpVuHDgGXLgHW1oC7u9rRZDyenkCRIkBoKDB0qNrREBEREWUsLOwTUbqlrdXv0gXIkkXVUDIkS0vZnF+jAdasAXbvVjsiIiIiooyDhX0iSpdu3frYV5xzvqunenVgyBC53LMn8OqVquEQERERZRgs7BNRurR4seyzX78+UKyY2tFkbFOnAoUKAffvA8OHqx0NERERUcbAwj4RpTuvXwO+vnKZU7+pz8oKWLVKNudfuRLYt0/tiIiIiIjSPxb2iSjd+eUXICxMDg5Xv77a0RAA1KghZ0QAZHP+16/VjYeIiIgovWNhn4jSlZgYYOFCuTxwoJzrnQzDjBmAkxNw9y4wcqTa0RARERGlb/wZTETpyr59wLVrgK2tHIWfDIe19cfuFT4+wMGD6sZDRERElJ6xsE9E6Yp2uj13dyBTJnVjodhq1wb69pXL3bsDb96oGw8RERFResXCPhGlG1evAnv2yIHgtP3DyfDMmgU4OgK3bwOjR6sdDREREVH6xMI+EaUbixbJv02aAAULqhsLxS9TJuDnn+Xy4sVAYKC68RARERGlRyzsE1G68PIl4OcnlzndnuGrVw/o0UMud+8OvHunbjxERERE6Q0L+0SULqxeDbx9C5QsCXz3ndrRUGLMnQvkywfcvAmMHat2NERERETpCwv7RJTmRUd/bMI/aJDss0+GL3Pmj835FywAjh1TNx4iIiKi9ISFfSJK83buBEJCgKxZgU6d1I6GlGjQAOjaFRBCzqDw/r3aERERERGlDyzsE1Gap51ur2dPwMpK3VhIOS8vwN4euHYNmDBB7WiIiIiI0gcW9okoTbt4ETh4EDAyAvr3VzsaSoqsWYHly+Wylxdw6pS68RARERGlByzsE1GatnCh/NuyJfDNN+rGQknXpInsghETA3TrBnz4oHZERERERGkbC/tElGY9ewasXSuXOd1e2rdgAZA7N3DlCuDpqXY0RERERGkbC/tElGatXCkHdCtXDvj2W7Wjoa+VLRvg4yOX58wBzp5VNx4iIiKitIyFfSJKk6KigCVL5PLgwZxuL71o0QL4/ns5nWK3bkB4uNoREREREaVNLOwTUZr0xx/Af/8BOXPKwiGlH4sWyff14kVg2jS1oyEiIiJKm0yS8qKXL1/i9OnTePz4MWJiYvS2de7cOVkCIyJKiHa6vd69AQsLdWOh5JUjh2y10a4dMH26HHyxfHm1oyIiIiJKWxQX9v/880907NgRb9++RaZMmaD5pO2sRqNhYZ+IUtz588BffwEmJkDfvmpHQymhbVugTRtg82bZnP/ECeDYMQ2OHMkLa2sNatcGjI3VjpKIiIjIcCluxj9s2DC4u7vj9evXePnyJV68eKF7PH/+PCViJCLSo51ur21bwN5e3Vgo5SxZAmTPDvz9N2BnB9SrZwIvr4qoV88E+fMD/v5qR0hERERkuBQX9u/fv49BgwbBysoqJeIhIkrQ48fAhg1ymdPtpW+5cgE//iiXw8L0t92/L2v+WeAnIiIiipviwn79+vVxlvMhEZFKli8HIiKAypWBKlXUjoZSUnS0bMYfFyHk3yFDZDoiIiIi0qe4z37jxo0xYsQIXL58GaVLl4apqane9mbNmiVbcEREn4qIAJYtk8us1U//jh4F7t2Lf7sQckaGo0eBWrVSLSwiIiKiNEFxYb9nz54AgMmTJ8faptFoEM0qFiJKIZs3A6GhQJ48sgk3pW+hocmbjoiIiCgjUVzY/3yqPSKi1KKdbq9vX8DMTN1YKOXlyZO86YiIiIgyEsV99omI1HDqFHD6tCzk9+qldjSUGmrUAPLlAz6Z4VWPRgM4OMh0RERERKQvSYX9wMBANG3aFIUKFULhwoXRrFkzHD16NLljIyLS0dbq//ADkDu3urFQ6jA2/vi+x1fg9/aW6YiIiIhIn+LC/tq1a1G3bl1YWVlh0KBBGDBgACwtLVGnTh2sX78+JWIkogzuwQPg99/l8qBB6sZCqatVKzlWQ968sbctXSq3ExEREVFsigv706ZNw+zZs7Fp0yYMGjQIgwcPxqZNmzBz5kxMmTIlJWIkogxu2TIgKgr49lugQgW1o6HU1qoVcPs2EBAQBQ+Ps6hQQY4dc+aMunERERERGTLFhf1bt26hadOmsdY3a9YMISEhyRIUEZHWhw/A8uVymdPtZVzGxoCrq0DNmvexYIEs7K9ZA1y/rnJgRERERAZKcWHfwcEBBw4ciLX+wIEDcHBwUBzA0qVL4eTkBAsLCzg7O3+x739gYCCcnZ1hYWGBAgUKwMfHR2+7n58fNBpNrMeHDx90afLnzx9nmv79+yuOn4hS1saNwJMnciC2Fi3UjoYMQZUqAo0aAdHRgKen2tEQERERGSbFU+8NGzYMgwYNQnBwMKpXrw6NRoO//voLfn5+WKAdSSmRNm3ahCFDhmDp0qVwcXHB8uXL0bBhQ1y+fBnffPNNrPQhISFo1KgRevbsibVr1+LYsWPo168fcubMidatW+vS2dra4urVq3qvtbCw0C2fOXMG0dHRuucXL15EvXr10LZtW0XxE1HKEgJYuFAu9+8PmCj+xqL0avJkYNcuYP16YMwYoEQJtSMiIiIiMiyKfzr37dsXdnZ2mDdvHn777TcAQPHixbFp0yY0b95c0b68vLzQvXt39OjRAwDg7e2NvXv3YtmyZZgxY0as9D4+Pvjmm2/g7e2tO+7Zs2cxd+5cvcK+RqOBnZ1dvMfNmTOn3vOZM2eiYMGCcHV1VRQ/EaWsv/4CgoIAS0vg/18TRAAAZ2fZ0uOPP4BJk4D//zsiIiIiov9LUj1Zy5Yt0bJly686cEREBM6dO4dRo0bprXdzc8Px48fjfM2JEyfg5uamt65+/frw9fVFZGQkTE1NAQBv3ryBo6MjoqOjUa5cOUyZMgXly5ePN461a9fCw8MDmvjmdgIQHh6O8PBw3fOwsDAAQGRkJCIjI798wirRxmbIMRoa5plyKZVn8+cbAzBChw4xsLWNRnp6S3idKfd5no0bB/zxhyl+/x04ezYSZcuqGZ1h4nWmHPNMGeaXcswz5ZhnyjHPlEsreaYkPtUaxT59+hTR0dHI/dmE2blz58bDhw/jfM3Dhw/jTB8VFYWnT58iT548KFasGPz8/FC6dGmEhYVhwYIFcHFxwd9//43ChQvH2ucff/yBly9fomvXrgnGO2PGDHjG0Tl03759sLKy+sLZqi8gIEDtENIc5plyyZlnT55YYtu2egCA0qUPY9eu18m2b0PC60y5T/PMxaUijh3Li/79n2LMmNMqRmXYeJ0pxzxThvmlHPNMOeaZcswz5Qw9z969e5fotIkq7GfLlg3Xrl1Djhw5kDVr1gRrwJ8/f57ogwOItS8hRIL7jyv9p+urVq2KqlWr6ra7uLigQoUKWLRoERZqO/9+wtfXFw0bNoS9vX2CcY4ePRoeHh6652FhYXBwcICbmxtsbW0TfK2aIiMjERAQgHr16ulaPlDCmGfKpUSejR5thJgYDWrXjkG/fjWSZZ+GhNeZcnHlmZMTUL68wOnTeZA7d2M4OwuVozQsvM6UY54pw/xSjnmmHPNMOeaZcmklz7QtzBMjUYX9+fPnI1OmTLrlhArjiZUjRw4YGxvHqsV//PhxrNp7LTs7uzjTm5iYIHv27HG+xsjICJUqVcL1OOZnunPnDvbv3w9/f/8vxmtubg5zc/NY601NTQ36YtBKK3EaEuaZcsmVZ+/eAatWyeXBg41gaqp44pA0g9eZcp/mWZkyQMeOwK+/ApMnm2DXLpWDM1C8zpRjninD/FKOeaYc80w55plyhp5nSmJLVGG/S5cuuuUvNXdPLDMzMzg7OyMgIECv/39AQEC8A/1Vq1YNf/75p966ffv2oWLFivGetBACwcHBKF26dKxtq1evRq5cudC4ceOvOBMiSm5r1wIvXsha2yZN1I6GDN2ECXJU/t27gRMngGrV1I6IiIiISH2Kq8uMjY3x+PHjWOufPXsGY2NjRfvy8PDAypUrsWrVKly5cgVDhw7F3bt30adPHwCy6Xznzp116fv06YM7d+7Aw8MDV65cwapVq+Dr64vhw4fr0nh6emLv3r24desWgoOD0b17dwQHB+v2qRUTE4PVq1ejS5cuMOF8XkQG49Pp9gYOBBR+rVAGVKgQoL0PPX68qqEQERERGQzFpVxtH/nPhYeHw8zMTNG+2rdvj2fPnmHy5MkIDQ1FqVKlsGvXLjg6OgIAQkNDcffuXV16Jycn7Nq1C0OHDsWSJUtgb2+PhQsX6k279/LlS/Tq1QsPHz5E5syZUb58eRw5cgSVK1fWO/b+/ftx9+5duLu7K4qZiFLWwYPApUuAtTXQrZva0VBaMX488MsvwIEDQGAgwJlUiYiIKKNLdGFfO7idRqPBypUrYWNjo9sWHR2NI0eOoFixYooD6NevH/r16xfnNj8/v1jrXF1dcf78+Xj3N3/+fMyfP/+Lx3Vzc4v3xgURqUdbq9+1K5Ali5qRUFri6Aj06AEsWyYL/oGBQDIML0NERESUZiW6sK8tQAsh4OPjo9dk38zMDPnz54ePj0/yR0hEGcbNm4B2WI6BA9WNhdKesWPlwI5HjwIBAYCbm9oREREREakn0YX9kJAQAEDt2rXh7++PrFmzplhQRJQxLV4s++w3aAAULap2NJTW5M0L9OkDLFgga/fr1WPtPhEREWVcigfoO3ToEAv6RJTsXr/+ON3eoEHqxkJp16hRgKUlcPo0sHOn2tEQERERqSdJw9Dfu3cP27dvx927dxEREaG3zcvLK1kCI6KMZc0aICwMKFIEqF9f7WgorbKzAwYMAObMkVPyNW7M2n0iIiLKmBQX9g8cOIBmzZrByckJV69eRalSpXD79m0IIVChQoWUiJGI0rmYGGDRIrk8cCBgpLjNEdFHI0fKgfqCgoCtW4FWrdSOiIiIiCj1Kf5JPXr0aAwbNgwXL16EhYUFtmzZgv/++w+urq5o27ZtSsRIROnc3r3AtWuArS3QpYva0VBalyMHMHiwXJ44Ud5MIiIiIspoFBf2r1y5gi7//zVuYmKC9+/fw8bGBpMnT8asWbOSPUAiSv+00+117w5kyqRuLJQ+DBsGZM4MXLwI/Pab2tEQERERpT7FhX1ra2uEh4cDAOzt7XHz5k3dtqdPnyZfZESUIfz7L7Bnj+xXPWCA2tFQepE1qyzwA8CkSUBUlKrhEBEREaU6xYX9qlWr4tixYwCAxo0bY9iwYZg2bRrc3d1RtWrVZA+QiNI3bV/9pk2BAgXUjYXSl8GDgWzZgKtXgfXr1Y6GiIiIKHUpLux7eXmhSpUqAIBJkyahXr162LRpExwdHeHr65vsARJR+vXypRyFH+B0e5T8bG3lYH0A4OkJREaqGw8RERFRalI8Gn+BT6rerKyssHTp0mQNiIgyjlWrgLdvgZIlge++UzsaSo8GDAC8vIBbt+SNpR491I6IiIiIKHVwgisiUkV0NLB4sVweNIhzoVPKsLYGRo2Sy1OmAP8fcoaIiIgo3UtUYT9btmy6wfeyZs2KbNmyxfsgIkqMHTuAkBA5kFqnTmpHQ+lZnz6AvT1w9y7A3mZERJTeRUcDgYEaHDmSF4GBGkRHqx0RqSVRzfjnz5+PTP+fD2v+/PnQsAqOiL6Sdrq9nj0BKyt1Y6H0zdISGDNGNumfOhXo1k2uIyIiSm/8/eUAtffumQCoCC8vIF8+YMECoFUrtaOj1Jaown6XLl10y127dk2pWIgog7hwATh4EDAyAvr3Vzsaygh69ABmzQL++w/w8QGGDlU7IiIiouTl7w+0aQMIob/+/n25fvNmFvgzGsV99mvXrg1fX1+8evUqJeIhogxAO91ey5bAN9+oGwtlDObmwPjxcnnmTDkwJBERUXoRHS1r9D8v6AMf1w0ZAjbpz2AUF/ZLly6NcePGwc7ODq1bt8Yff/yBiIiIlIiNiNKhZ8+AX3+Vy4MHqxsLZSxduwIFCgCPH38cHJKIiCg9OHoUuHcv/u1CyNZtR4+mXkykPsWF/YULF+L+/fvYtm0bMmXKhC5dusDOzg69evVCYGBgSsRIROnIzz8DHz4A5csD336rdjSUkZiaAhMmyOXZs4GwMHXjISIiSi6hocmbjtKHJE29Z2RkBDc3N/j5+eHRo0dYvnw5Tp8+je84UTYRJSAqCliyRC5zuj1SQ8eOQNGiwPPncrAiIiKi9CBPnuRNR+lDkgr7Wg8fPoSPjw9mzZqFf/75BxUrVkyuuIgoHdq6VTYxy5kT+P57taOhjMjEBJg0SS7Pmwe8eKFqOERERMnCyQkwNk44jYkJ4OCQOvGQYVBc2A8LC8Pq1atRr149ODg4YNmyZWjatCmuXbuGU6dOpUSMRJROaKfb690bsLBQNxbKuNq1A0qVAl69Ary81I6GiIjo67x4ATRu/HHwvc9bTmqfR0UBLi7A6dOpGx+pR3FhP3fu3Bg7dixKliyJ48eP4+rVq5g4cSIKFSqUEvERUTpx/jzw11/yrnLfvmpHQxmZkRHg6SmXvb2Bp09VDYeIiCjJ3r8HmjYFLl0C7O3l9LJ58+qnyZcPWLECKFsWePQIqFUL2LJFlXAplSku7G/btg337t2Dt7c3KlWqlBIxEVE6pK3Vb9tW/jMiUlPLlnKQyDdvgDlz1I6GiIhIuago2S3y2DEgSxZgzx7ZevL2bSAgIAoeHmcREBCFkBCgZ085En+jRvIGQdu28v9fXFP1UfqhuLDv5uaGmJgY7N+/H8uXL8fr168BAA8ePMCbN2+SPUAiSvsePQI2bJDLnG6PDIFGA0yeLJcXL5bXKBERUVohhCzYb98uu0Zu3w6ULi23GRsDrq4CNWveh6ur0PXlz5QJ2LYN6N9fvn7kSKBPHyAyUr3zoJSluLB/584dlC5dGs2bN0f//v3x5MkTAMDs2bMxfPjwZA+QiNK+FSuAiAigcmWgShW1oyGSGjeW1+O7d8DMmWpHQ0RElHjjxgGrVsmuaRs3AjVqJO51JibAokWyG5tGI3+jNWkix7Gh9EdxYX/w4MGoWLEiXrx4AUtLS936li1b4sCBA8kaHBGlfRERwNKlcpm1+mRIPq3dX7ZMzhRBRERk6BYuBKZPl8vLlwPNmyt7vUYjf5Nt3QpYWQH79gHffgvcvZv8sZK6FBf2//rrL4wbNw5mZmZ66x0dHXH//v1kC4yI0offfwcePpTzurZpo3Y0RPrq1ZM/cMLDP/5wIiIiMlQbNwJDhsjlqVOBHj2Svq/mzYEjRwA7O+DiRdna7ezZZAmTDITiwn5MTAyitfM6fOLevXvIlClTsgRFROmHdmC+vn2Bz+4REqlOowGmTJHLK1cCd+6oGw8REVF89u8HOneW/e0HDADGjPn6fTo7A6dOyf7+Dx8CNWsCf/zx9fslw6C4sF+vXj14e3vrnms0Grx58wYTJ05Eo0aNkjM2IkrjTp6Uc7mamclBZIgMUa1awHffyQGKtAV/IiIiQ3L2rJxJJjISaNcOWLBA3rBODt98I6dHrl9fjtTfqhUwfz5H6k8PFBf258+fj8DAQJQoUQIfPnxAhw4dkD9/fty/fx+zZs1KiRiJKI3S1ur/8AOQK5e6sRAlRFvI9/MDbtxQNRQiIiI916/LKfPevAHq1AF++UUOzJecbG2BHTtk5YwQgIeHbD0QFZW8x6HUpfgysbe3R3BwMIYPH47evXujfPnymDlzJoKCgpCLv+aJ6P/u35f99QFg0CB1YyH6kurVgQYNgOjoj4P2ERERqS00VNa4P3kCVKgA+PsD5uYpcywTEzlg7dy5stXA0qVAs2ZAWFjKHI9SnklSXmRpaQl3d3e4u7sndzxElE74+Mi7wd9+K/85ERm6KVOAPXuAdetkP8hixdSOiIiIMrJXr4CGDYGQEKBgQWDXLlkDn5I0GmDYMKBAAaBjR2D3bjmt344dgINDyh6bkp/imv2DBw9iwIABaNKkCZo2bYrBgwfjyJEjKREbEaVRHz7IqWAATrdHaUfFinJk4pgYYNIktaMhIqKM7MMHoEUL4O+/gdy55fR4uXOn3vFbtgQCA+Ux//lHjtR//nzqHZ+Sh6LCfp8+fVC3bl1s2LABz549w5MnT7B27VrUrl0bAwcOTKkYiSiN2bhRNjdzcJD/qIjSCm0T/k2bgAsX1I2FiIgypuhoWat++DCQKZNsdVagQOrHUamSHKm/ZEnZnaBGDeDPP1M/Dkq6RBf2t27ditWrV2PVqlV4+vQpTpw4gZMnT+LJkyf4+eefsWLFCmzfvj0lYyWiNEAIOUIsAPTvL/t/EaUVZcoAbdvK5YkT1Y2FiIgyHiHk7yd/fzmb0bZtQLly6sXj6AgcOwbUqwe8eydbwGkHYCbDl+jC/urVq+Hh4YGuXbtC88k8D0ZGRnB3d8eQIUPg6+ubIkESUdpx9CgQHAxYWgI9e6odDZFykybJPotbt7LJIhERpa7Jk2VXSI1GjiFTu7baEQGZMwM7d8rfdULILpoDB3Kk/rQg0YX98+fPo2XLlvFub926Nc6dO5csQRFR2qW929upE5Atm7qxECVFiRJAhw5yecIEdWMhIqKMw8fn45gxS5YAbdqoGo4eU1N5E2L2bPl88WLZVfPNG1XDoi9IdGH/6dOnyJs3b7zb8+bNi2fPniVLUESUNt25I2tDAU63R2nbxImAsbGsyThxQu1oiIgovduyBejXTy5PnAj07atuPHHRaIARI4DNmwELC/k/skYNOd0yGaZEF/YjIiJgZmYW73YTExNEREQkS1BElDb5+BghJgb47jugVCm1oyFKusKFgc6d5TJr94mIKCUdPixblAkB9O5t+GPGtG4tY86VS3bdrFJF/iXDo2jorPHjx8PKyirObe/evUuWgIgobYmOBgIDNThwwAGrV8v7h5xuj9KD8eOBX38F9u8HjhwBatZUOyIiIkpvgoPloHcREUCrVrL5/ifDoxmsKlXkSP2NGwOXLwPffitnsmncWO3I6FOJLuzXrFkTV69e/WIaIso4/P1lwf7ePRMAFQDIps9s5EPpgZMT0L277KM4frysxUgLP8CIiChtuHULaNgQCAuTN5TXrZO/o9KK/PnlSP1t2gAHDgDNmskZmQYMUDsy0kp0Yf/w4cMpGAYRpTX+/vLLXQj99dHRQLt2sj9Xq1bqxEaUXMaOBVavljX7Bw4AdeuqHREREaUHjx8D9esDDx/KaV+3bZP94NOaLFmA3bvlGAO+vnKU/hs3gHnz0taNi/Qq0X32U8rSpUvh5OQECwsLODs74+jRowmmDwwMhLOzMywsLFCgQAH4+Pjobffz84NGo4n1+PDhg166+/fvo1OnTsiePTusrKxQrlw5ziZAlEjR0bJG//OC/qeGDJHpiNIyBwfZfxKQtfsJXfNERESJ8fo10KiRLBTnzw/s2SMLzWmVqSnw88/AjBny+YIFQMuWHKnfEKha2N+0aROGDBmCsWPHIigoCDVq1EDDhg1x9+7dONOHhISgUaNGqFGjBoKCgjBmzBgMGjQIW7Zs0Utna2uL0NBQvYfFJ7fKXrx4ARcXF5iammL37t24fPky5s2bhyxp+VNGlIqOHgXu3Yt/uxDAf//JdERp3ejRgKUlcPKkrL0gIiJKqvBw2fLx3DkgZ05g3z4gTx61o/p6Gg0wapTst29uDvz5J+DqCjx4oHZkGZuqhX0vLy90794dPXr0QPHixeHt7Q0HBwcsW7YszvQ+Pj745ptv4O3tjeLFi6NHjx5wd3fH3Llz9dJpNBrY2dnpPT41a9YsODg4YPXq1ahcuTLy58+POnXqoGDBgil2rkTpSWho8qYjMmR58gD9+8vlCRNYu09EREkTEwN06SIHfrW2BnbtkrO/pCft2gGHDskbGefPy4H8/vlH7agyLkWj8SeniIgInDt3DqNGjdJb7+bmhuPHj8f5mhMnTsDNzU1vXf369eHr64vIyEiYmpoCAN68eQNHR0dER0ejXLlymDJlCsqXL697zfbt21G/fn20bdsWgYGByJs3L/r164eePXvGG294eDjCw8N1z8PCwgAAkZGRiIyMVHbyqUgbmyHHaGiYZ1+WM6cGifn6yJkzCpGRLBnFhdeZcmrm2dChwLJlJjh3ToMtW6LQvHnauK55nSnHPFOG+aUc80y59JBnQgAeHkbYtMkYpqYCv/8ejbJlBVLqlNTMs4oVZevO5s1NcPWqBi4uAhs2RKN+fcP+35lWrjMl8WmEUKeO4sGDB8ibNy+OHTuG6tWr69ZPnz4da9asiXPk/yJFiqBr164YM2aMbt3x48fh4uKCBw8eIE+ePDh58iRu3LiB0qVLIywsDAsWLMCuXbvw999/o/D/b51pm/R7eHigbdu2OH36NIYMGYLly5ejs3Zi5c9MmjQJnp6esdavX78+3ukIidKr6GigZ083PH9uASCu4ckFcuR4j+XLAzg4C6Uba9cWx+bNReDo+Arz5x+Gkeqj3hARUVqxeXNhrF1bAgDg4XEWNWveVzmilPfmjSlmzaqECxdywsgoBj17XkDDhrfVDivNe/fuHTp06IBXr17B1tY2wbSJqtn/R0HbizJlyiQ6LSCb3H9KCBFr3ZfSf7q+atWqqFq1qm67i4sLKlSogEWLFmHhwoUAgJiYGFSsWBHTp08HAJQvXx6XLl3CsmXL4i3sjx49Gh4eHrrnYWFhcHBwgJub2xczWU2RkZEICAhAvXr1dC0fKGHMsy+LiQHy5zfG8+caAAKfFvg1GvmZXLLEDE2bNlInwDSA15lyaudZ1arAvn0Cd+5kxvv3jdG2rWHXUADq51laxDxThvmlHPNMubSeZ6tXa7B2rSx2eXlFY8CAsgDKpugxDSXPWrQA+vWLwS+/GGH58rKwtCyFGTNiDLIyyFDy7Eu0LcwTI1GF/XLlykGj0XyxIA4A0YkcfjtHjhwwNjbGw4cP9dY/fvwYuXPnjvM1dnZ2caY3MTFB9uzZ43yNkZERKlWqhOvXr+vW5cmTByVKlNBLV7x48VgD/X3K3Nwc5ubmsdabmpoa7MUQHQ0cP67BkSN5YW1thtq1TQzyg2WoDPm9VdusWbIflokJkC2bBo8ff9yWL58G3t5Aq1aq9RJKU3idKadWnuXODXh4AJMmAVOnmqB9+7QzrRCvM+WYZ8owv5RjnimXFvNs+3Y5LR0gB3wdOtQYQOr981A7z0xNAT8/oGhROZ2tt7cxbt82xtq1ctwCQ6R2nn2JktgS1QgxJCQEt27dQkhICLZs2QInJycsXboUQUFBCAoKwtKlS1GwYMEEC8ufMzMzg7OzMwICAvTWBwQE6DXr/1S1atVipd+3bx8qVqwY70kLIRAcHIw8nwxz6eLiEqubwLVr1+Do6Jjo+A2dv7+cyqNePRN4eVVEvXomyJ9frif6GoGB8ssaAJYskaOsBgREwcPjLAICohASIkeZJUqPhgwBsmYFrlwBNmxQOxoiIjJkf/0FtG8vW0S6uwPTpqkdkTo0GmDMGPl/09wc+OMPOVI/B3JOeYmqevu0ENy2bVssXLgQjRp9bJ5bpkwZODg4YPz48WjRokWiD+7h4YEff/wRFStWRLVq1bBixQrcvXsXffr0ASCbzt+/fx+//PILAKBPnz5YvHgxPDw80LNnT5w4cQK+vr7Y8MkvLk9PT1StWhWFCxdGWFgYFi5ciODgYCxZskSXZujQoahevTqmT5+Odu3a4fTp01ixYgVWrFiR6NgNmb8/0KZN7BGj79+X6zdvZmGMkubhQ+D772WrkR9/BHr2lF/grq4Cb9/eh6tr2TRT00mUFJkzAyNGyB8tkybJH3EGfPOfiIhUcvEi0LQp8OED0KQJsHy5/M2UkX3/PeDgADRvLqcerFIF2LkTKF1a7cjSL8XDC124cAFOTk6x1js5OeHy5cuK9tW+fXt4e3tj8uTJKFeuHI4cOYJdu3bpbi6Ehobi7t27esfYtWsXDh8+rBtlf+HChWjdurUuzcuXL9GrVy8UL14cbm5uuH//Po4cOYLKlSvr0lSqVAlbt27Fhg0bUKpUKUyZMgXe3t7o2LGj0uwwONHRwODBcU8NpV03ZIhMR6REVBTwww+ywF+yJLBsGf9pUcY0cKCcUujmTeD/96KJiIh07twB6tcHXr4EXFzk3PMm7N0IQObHyZNAkSLAf//J53v3qh1V+qX4sitevDimTp0KX19f3aj24eHhmDp1KooXL644gH79+qFfv35xbvPz84u1ztXVFefPn493f/Pnz8f8+fO/eNwmTZqgSZMmiY4zrTh6FLh3L/7tQsgP1tGjQK1aqRYWpQMTJgCHDwM2NrJ1iKH2syJKaTY2wE8/AcOHA1OmyFYuZmZqR0VERIbg6VNZ0H/wQFaObN8OcOIufYUKASdOyJbGgYFA48bA0qVAr15qR5b+KK7Z9/Hxwf79++Hg4IC6deuibt26yJcvHwICAuDj45MSMZICie37wj4ypMTOncCMGXL555+BYsXUjYdIbX37AnZ2svbG11ftaIiIyBC8fSub7F+9Kpur79kDZMumdlSGKVs2YN8+oHNn2eK4d29g5Eg5vgElH8WF/cqVKyMkJATTpk1DmTJlULp0aUyfPh0hISF6TeVJHZ+MQ5gs6Yhu35Y1lwAwYIDsb0WU0VlZyX77gBxw6cMHdeMhIiJ1RUbKsbFOnZIF2b17gXz51I7KsJmZyZH6J0+Wz+fMAdq1A969UzWsdEVRM/7IyEgULVoUO3bsQC+2szBINWrIL5b79+Putw8AefPKdERfEh4OtG0LvHgBVKoEzJ2rdkREhqNXL/nD5L//5MBLgwerHREREalBO9r+nj2ApaVsEZmE3s0ZkkYDjB8PFCgg83DLFvl/dft2OeUtfR1FNfumpqYIDw+HhqNyGSxjY2DBArkc39uUM2f8NwKIPjVsGHD2rJxq7Pff5XQpRCSZmwPjxsnlGTNYE0FElFH99BOwdq38Hb55M1C1qtoRpT0dOwL798tWEadPy5H6FY79TnFQ3Ix/4MCBmDVrFqKiolIiHkoGrVrJL5q8efXX584tm8sEB8upo4gSsmEDoJ2xcu1a4JMZOIno/7p1A5ycgEePPn5eiIgo45g792PLx1WrgE9mJyeFatSQI/UXKiTHxKlWTd4AoKRTXNg/deoU/P398c0336B+/fpo1aqV3oMMQ6tWsq91QEAUPDzOIiAgCvfvA+vWye3e3sCKFWpGSIbsyhWgZ0+5PHYs/3ERxcfUVM5UAQCzZgGvX6sbDxERpZ5ffvlYgTZnjhxsjr5O4cKywF+jBhAWBjRsCKxcqXZUaZfiwn6WLFnQunVr1K9fH/b29sicObPegwyHsTHg6ipQs+Z9uLoKGBvLgUOmTJHb+/cHDh5UN0YyPG/fyuvk7Vugdm3A01PtiIgMW6dOcr7gZ8+AhQvVjoaIiFLDrl2yjzkguz0OH65uPOlJ9uxAQIBs2h8VJSugRo/mSP1JoWiAPgBYvXp1SsRBqWjsWFlzu369LNSdPCl/qBIJIac+uXxZztiwfr28aURE8TMxASZOlD9K5s6VN1KzZFE7KiIiSiknT8oBjKOj5Q3f2bPVjij9MTcHfv1VNun39ARmzgRu3gTWrJGDIFLiKK7Zp7RPo5HzQlepIkdZb9pU/iVasUJ29TA2BjZulPOIE9GXtW8PlCgBvHwJzJ+vdjRERJRSrlwBGjeWg7I2aCD76RuxRJUiNBpg0iTZXcLUVA4W/d13wOPHakeWdiTp0ty8eTPatWuHqlWrokKFCnoPShssLIA//gAcHIBr1+TdychItaMiNZ07BwwaJJenTwdq1lQ3HqK0xNj4Y5eX+fNlk34iIkpf7t0D6tcHnj8HKleWA2KbmqodVfr344+yWX/WrLJVRdWq8qYLfZniwv7ChQvRrVs35MqVC0FBQahcuTKyZ8+OW7duoWHDhikRI6UQOzvgzz8Ba2vgwAFZ0OOUfBnTixfyhk9EBNCsGfudESVFq1ZA2bJykL45c9SOhoiIktPz57Im/7//gKJFgZ075W9oSh2ursCJE0DBgkBIiBypn2OPfZniwv7SpUuxYsUKLF68GGZmZhg5ciQCAgIwaNAgvHr1KiVipBRUtqzsl63RAD4+wOLFakdEqS0mBujSRX5xOjkBfn5sjkaUFEZGwOTJcnnRIjkdHxERpX3v3snKkEuXAHt7YO9eIEcOtaPKeIoWlTX7Li7Aq1eylQWHk0uY4p/0d+/eRfXq1QEAlpaWeP3/eYZ+/PFHbNiwIXmjo1TRrJmcMgoAhgwB9uxRNRxKZXPnyhYeZmayL1TWrGpHRJR2NW0KVKokfxhqv1eJiCjtiooCvv8eOHZMDr66dy/g6Kh2VBlXjhzA/v3ADz/I98bdXQ4+zpH646a4sG9nZ4dn/++M6OjoiJMnTwIAQkJCINgGPM0aPhzo2lV+UNq3l6OxU/p35AgwZoxcXrgQcHZWNx6itE6j+Vi7v2wZ8OCBuvEQEVHSaWcp+vNPOd7Vn38CpUqpHRVZWMgBpcePl8+nTwc6dAA+fFA3LkOkuLD/3Xff4c8//wQAdO/eHUOHDkW9evXQvn17tGzZMtkDpNShbcZfowYQFiZrp54+VTsqSkkPH8obO9ppY3r1UjsiovShfn3ZxPDDB/kDhNKO6GggMFCDI0fyIjBQg+hotSMiIjWNG/dxtP1Nm4Bvv1U7ItLS3lz385ODJG7aBNSpAzx5onZkhkVxYX/FihUYO3YsAKBPnz7w8/ND8eLF4enpiWXLliV7gJR6zM2BLVtkv+1bt4DWreWAbZT+REfLO6APH8rpwnx85JcmEX09jQaYMkUu//wzcPeuuvFQ4vj7A/nzA/XqmcDLqyLq1TNB/vxyPRFlPAsXfrxhu2KF7PZKhqdLF9m1IksW4PhxOVL/1atqR2U4FBf2jYyMYGJionverl07LFy4EIMGDYKZmVmyBkepL2dO2UTJ1lY28e7blyP0p0cTJwKHDslRZDdv5miyRMmtdm35iIgApk5VOxr6En9/oE0bOa3Wp+7fl+tZ4CfKWDZuBAYPlsvTpgHdu6sbDyWsdm05Ur+2wrJaNeDwYbWjMgwmX04C/PPPP4neYZkyZZIcDBmGkiXll1yTJrLpUokSwLBhakdFyWXnTvmPCwBWrgSKF1c3HqL0asoU2eRz9Wpg1CigQAG1I6K4REfLH/Vx3dgWQrbUGDIEaN4cMDZO9fCIKJUFBACdO8vlgQOB0aPVjYcSp1gx4NQp+V194gTg5iZ/52rfy4wqUYX9cuXKQaPRQAgBzRfa+kazg1u60LAh4OUlf+CMGAEUKSL78VPaducO8OOPcrl/fzm6LBGlDBcX2X9/796P/QrJ8Bw9GrtG/1NCyHm1jx4FatVKtbCISAVnzwKtWgGRkXJcI29vdnNMS3LmBA4ckIOO//abbOJ/8yYwaVLGfR8T1Yw/JCQEt27dQkhICLZs2QInJycsXboUQUFBCAoKwtKlS1GwYEFs2bIlpeOlVDRokByBVAjZv1tBAw8yQOHhQLt2wIsXcmqwefPUjogo/dOOzP/rr+xDaKhCQ5M3HRGlTdevA40aAW/eAHXrAmvWyIH5KG2xtAQ2bPjYImPyZDkQdXi4unGpJVE1+46fTCbZtm1bLFy4EI0aNdKtK1OmDBwcHDB+/Hi0aNEi2YMkdWg0wKJF8svv4EFZs3/6NJA7t9qRUVIMHy7fv6xZ5d1Oc3O1IyJK/ypXlt+df/4JeHoC69erHRF97tWrxKXLkydl4yAi9YSGymbfT57IaYj9/fk7KS0zMpKDKxYqJCsu16+Xg+Vu3QrkyKF2dKlL8f2qCxcuwMnJKdZ6JycnXObk7OmOqSnw++9A4cLyQ9KyJeewTIs2bgQWL5bLv/4qR5wmotShrd3fuBG4eFHdWEifr69sxZYQjQZwcJBT0xJR+vPqFdCgAXD7tiwc7toFZMqkdlSUHNzdgT17gMyZgb/+kgP3XbumdlSpS3Fhv3jx4pg6dSo+fFLiCw8Px9SpU1GcI32lS9myATt2yCktTpwAevTgCP1pyb//yvcMkE2aGjdWNx6ijKZcOTmVqRByJgxSX3i4rO3p0UP2za1YURbq4+vT6e3NwfmI0qMPH+SAbv/8A9jZyTFWcuVSOypKTnXqyCn58ucHbtyQBf4jR9SOKvUoLuz7+Phg//79cHBwQN26dVG3bl3ky5cPAQEB8PHxSYkYyQAUKSKnaDM2BtatA2bMUDsiSoy3b+W0UW/fyoGltDWMRJS6PD1lQdLfHwgKUjuajO3ePaBmTTlvtkYjp0Y8dUr+j8ubN3b6WbPkgF1ElL5ERwMdOwKBgXLK6d27OWtKelWiBHDyJFClCvD8uRyTYe1ataNKHYoL+5UrV0ZISAimTZuGMmXKoHTp0pg+fTpCQkJQuXLllIiRDESdOh+bgo8dC3A8RsMmBNCnD3DpkrxbvWEDYJKoUTqIKLmVLPlx9osJE9SNJSM7fBioUOHj+CW7dsn/Z0ZGskB/+zYQEBAFD4+zqFMnBgCwf7+qIRNRChBCzkrk7w+YmQHbtslWWJR+5c4NHDokK8EiI+XsVJ6e6b+1cpJ++ltZWaFXr17JHQulAX36AFeuAAsXyg+Jk5P84USG5+ef5V1LIyPZV9jOTu2IiDK2iROBTZtkt6hTp2QNA6UOIWRT/BEjZG1e2bLyR/7ntXjGxoCrq8Dbt/fRu3dZlCplhH375CC1332nSuhElAI8PYHly2XrnvXrOa1mRmFpKf8PjxkjW21NmiSb9q9cKSvEAgM1OHIkL6ytNahdO31030pSYf/atWs4fPgwHj9+jJiYGL1tE1hlke7NmyenkNq7V44yfeYMYG+vdlT0qfPnPw46NX064OqqbjxEBBQtCnTuDPj5ydr9vXvVjihjePtW9s3fuFE+79hRNuG3skr4dU5O8gb3okXAqFHyBk1GnaeZKD1ZtkwW9gFg6VI5pgplHEZGwMyZQMGCQN++smLs/Hng5UvgwQMTABXh5QXkywcsWJD2u3Epbsb/888/o0SJEpgwYQI2b96MrVu36h5//PFHCoRIhsbERN4VK14cePBADmzy7p3aUZHWixeyiVJ4uLwZM2KE2hERkdaECfI7dN8+OTIwpawbN4CqVWVB38REtkr79dcvF/S1xo4FrK3lTe2tW1M2ViJKeZs3y+b7gGxt1aePuvGQenr2lOM0WFoCly/LMs2n7t+Xv6f9/dWJL7koLuxPnToV06ZNw8OHDxEcHIygoCDd4/z58ykRIxmgzJnlvNHZswNnzwJduwKfNfIgFQgBdOsGhITIUUfXrJF3MInIMDg5yamAAGD8eHVjSe927pSj7F+8KPtqHjwIDByorHY+d25g2DC5PGYMEBWVMrESUco7fFi27NGOacTZUei77+TgjHHR9uUfMkR2/0qrFBcDXrx4gbZt26ZELJTGFCwo73aZmgK///6xSRSpZ948OciMmZl8T7JmVTsiIvrcuHHyM3r4sCyAUvKKiZH/j5o0kfNnV6smm2jWqJG0/Q0bJm9sX70qb6ASUdoTHCxbokZEyGbZixezWw4BR48Cjx7Fv10I4L//ZLq0SnFhv23btti3b19KxEJpUM2agHbGxcmT5YjvpI6jR2W/UkD2MapYUd14iChuDg6Adozb8ePT/0jAqenlS6BZMznoEgD06ydvqnzNuDK2trI5PyBrAt+//8ogiShV3boFNGgAhIXJMYzWrUsfA6/R1wsNTd50hkjxAH2FChXC+PHjcfLkSZQuXRqmpqZ62wdpRwWjDMPdXY7QP3eubEJeoABHmU5tjx4B7dvLZkYdOgC9e6sdERElZMwYOfrv8eNyoL4GDdSOKO27cAFo2RK4eRMwN5c3ort2TZ599+0rR/O/exdYsgQYPjx59ktEKevRI8DNTf4tW1a2frSwUDsqMhR58iRvOkOkuLC/YsUK2NjYIDAwEIGBgXrbNBoNC/sZ1MyZsonjn3/KZlJnzsjaK0p52gJ+aKgcNFE7lQwRGa48eWSts5eXrN2vX5+f26+xcSPQvbscLNbRUXYxS85pYS0sZNeAbt3kDCc9egBZsiTf/oko+b1+DTRqJG8AOjnJwdgyZ1Y7KjIkNWrIUffv34+7lZ1GI7cntRuYIVDcjD8kJCTex61bt1IiRkoDjI1ls6gyZeTd06ZNgTdv1I4qY5g0Sfb7tbYGtmwBbGzUjoiIEuOnn+Tn9uxZeaOUlIuMBDw8gB9+kAX9unVlfiZnQV/rxx+BEiXkjCdz5iT//oko+YSHy5Y+588DOXPKFlRpuXaWUoaxsez6CsS+4a597u2dtrt9cJxuSjaZMgHbtwO5cgF//w106sQR+lPa7t3A1KlyecUKWbNPRGlDrlxydHhA1u7z+1KZR4+AevWA+fPl89GjgT17gBw5UuZ4xsayVh+QP/7Sch9OovQsJgbo0gU4cEBWgOzeDRQurHZUZKhatZJTMubNq78+Xz65vlUrdeJKLoqb8QPAvXv3sH37dty9excRERF627y8vJIlMEqbHB2BP/4AateW/aLGjJFN/Cn53b0rb6gAsj9phw7qxkNEyg0fLvuA//OPbJnDyW4S59QpoHVr2fTSxkaOkp8aP8iaNZOj+584IW+0LlmS8sckosQTQk6VtmmTnC3K3x9wdlY7KjJ0rVrJbsiHDkVh9+5gNGxYDrVrm6TpGn0txTX7Bw4cQNGiRbF06VLMmzcPhw4dwurVq7Fq1SoEBwenQIiU1lSrBvj6yuVZszhVUUqIiJCFgufP5aj72potIkpbsmcHhg6VyxMnpu25fFPLihVyJpj794FixYDTp1Ov5kWj+XgDe8UK4MaN1DkuESXOjBnAokVy+ZdfZOsfosQwNgZcXQVq1rwPV1eRLgr6QBIK+6NHj8awYcNw8eJFWFhYYMuWLfjvv//g6uqKtqySoP/r2PHjVEU9ewJ//aVuPOnN8OHyB27WrMDvv8uRp4kobRo6VA72duWKHGiO4vbhgxwYr3dvecOzZUtZw5/a3Zdq1gQaNgSiooAJE1L32EQUv5UrP/72XLAA+P57deMhMgSKC/tXrlxBly5dAAAmJiZ4//49bGxsMHnyZMyaNSvZA6S0a/Jk2cwyMlL+KAsJUTui9GHTJv271vnzqxoOEX2lLFmAESPksqenLESSvrt35WjIvr6AkZGsvduyBbC1VScebd/9DRuAoCB1YiCij7Zv/zjt8JgxACcHI5IUF/atra0RHh4OALC3t8fNmzd1254+fZp8kVGaZ2Qkm/BXqAA8fSpH6A8LUzuqtO3qVVmzBQCjRgFNmqgbDxElj0GD5MBy168Dv/6qdjSG5eBB2ef27FkgWzY52NaoUepOVViu3MdxUsaMUS8OIpKtR9u3lwPzubt/HLiYiJJQ2K9atSqOHTsGAGjcuDGGDRuGadOmwd3dHVWrVk32AClts7aWd1vz5AEuXZLTI7FPatK8fStbSrx5A7i6AlOmqB0RESUXGxs5FR8gW0V9NvZthiQEMHeu7HP79ClQvjxw7hzg5qZ2ZNLkyYCJiZwB4PBhtaMhypguXJCVSR8+yL/Ll6t7I5DI0Cgu7Ht5eaFKlSoAgEmTJqFevXrYtGkTHB0d4asdlY3oE3nzygK/pSWwa9fH5qqUeEIA/frJGya5c8umoyZJmkuDiAxVv36AnR1w+zawerXa0ajrzRtZUzdihKyt69wZOHbMsLotFSwI9Ooll0eNkt/TRJR67twBGjQAXr4EXFzkmCf8bUSkT3Fhv0CBAihTpgwAwMrKCkuXLsU///wDf39/ODo6Kg5g6dKlcHJygoWFBZydnXH06NEE0wcGBsLZ2RkWFhYoUKAAfHx89Lb7+flBo9HEenz48EGXZtKkSbG229nZKY6dEq9ixY+j8s+fD/z8s7rxpDW+vrJ/vpGR/GeWJ4/aERFRcrOyknPFA7IZ6if/tjKUa9eAKlXk4KMmJnJ6Oz8/ecPY0IwfL9+3U6fkdLNElDqePgXq1wcePABKlgT+/FN+FolIX5IK+8+ePYu1/uXLlyhQoICifW3atAlDhgzB2LFjERQUhBo1aqBhw4a4e/dunOlDQkLQqFEj1KhRA0FBQRgzZgwGDRqELVu26KWztbVFaGio3sPCwkIvTcmSJfW2X7hwQVHspFzbtrLZIyBrsA4dUjeetCIoCBgwQC5PmwbUqqVqOESUgnr1AvLlA+7dy5g3RbdvBypVAi5fljc1AwPl/wtDbZZrZ/dx6sQxY9hNjSglREcDgYEaHDmSF4GBGoSFAY0by3GMvvkG2LtXzk5ERLEpLuzfvn0b0XH8NwsPD8f9+/cV7cvLywvdu3dHjx49ULx4cXh7e8PBwQHLli2LM72Pjw+++eYbeHt7o3jx4ujRowfc3d0xd+5cvXTamvpPH58zMTHR254zZ05FsVPSjBsn++1HRcn+59evqx2RYXv5EmjTBggPl4PxjRypdkRElJIsLD5OHTV9OvDunbrxpJboaDmNXfPmciDXb78Fzp8HqldXO7IvGzFCDhx45YpsgUVEycffX3bfqVfPBF5eFVGvngly5ZLTD2fLJgv6efOqHSWR4Up0z5bt27frlvfu3YvMmTPrnkdHR+PAgQPIr6AzXUREBM6dO4dRo0bprXdzc8Px48fjfM2JEyfg9tnIPPXr14evry8iIyNhamoKAHjz5g0cHR0RHR2NcuXKYcqUKShfvrze665fvw57e3uYm5ujSpUqmD59eoItE8LDw3WzEABA2P+HlY+MjERkZGSizzu1aWMzpBh9fICbN41x+rQRGjcW+OuvKIO6I2soeSYE0KWLMW7dMoKjo8DKlVGIjjbMmiNDybO0hHmmXEbJsx9/BGbNMsHt2xosXhyNoUNjkryvtJBnz58DXbsaY88eWf8wYEA0Zs2KgampnLo1tSnNMysr4KefjPDTT8aYOFGgTZsofNaYMF1LC9eYoWGeJc7WrRp8/73x/8fD+Ni8R/4cFxg2LAYFC8ao8j2RFvA6Uy6t5JmS+DRCJG5IGSMj+U9Yo9Hg85eYmpoif/78mDdvHpokci6wBw8eIG/evDh27Biqf3Lrfvr06VizZg2uXr0a6zVFihRB165dMeaTeW6OHz8OFxcXPHjwAHny5MHJkydx48YNlC5dGmFhYViwYAF27dqFv//+G4ULFwYA7N69G+/evUORIkXw6NEjTJ06Ff/++y8uXbqE7NmzxxnvpEmT4OnpGWv9+vXrYcVOQoq9eGGOESNq4ulTK5Qt+xjjx5+EiQlHN/rUH38UhJ9fKZiYRGPmzL9QqNBLtUMiolSyf/83WLy4PGxtw7F8+X5YWkapHVKKCAmxxcyZlfHokTXMzKLQr9/fqFXrntphKRYRYYS+fevi2TNLdOt2Ec2b3/zyi4goXtHRQK9ebnj2zAKfFvQ/EsiR4z2WLw+AsXFqR0ekrnfv3qFDhw549eoVbG1tE0yb6Jr9mBhZs+Dk5IQzZ84gR44cXxfl/2k+64gnhIi17kvpP11ftWpVvSkAXVxcUKFCBSxatAgLFy4EADRs2FC3vXTp0qhWrRoKFiyINWvWwMPDI87jjh49Wm9bWFgYHBwc4Obm9sVMVlNkZCQCAgJQr149XcsHQ1GqFFCrlsDff+fC/v2NsXBh0muvkpMh5NmxYxr8+qv87zV/PtC7t2G3ZTWEPEtrmGfKZaQ8c3MD9uwRuHHDHNevN8CoUUn7fjTkPFu/XoMxY4zx/r0GTk4CmzYJlCtXBkAZVeNKap69fKlBr17A9u0lMXt2UXzSADJdM+RrzFAxz74sMFCDZ88SKqZo8PSpFWxtG8PVlZVFceF1plxayTNtC/PEUDxBRUhIiNKXxClHjhwwNjbGw4cP9dY/fvwYuXPnjvM1dnZ2caY3MTGJt0beyMgIlSpVwvUEOodbW1ujdOnSCaYxNzeHubl5rPWmpqYGfTFoGWKcFSsC69cDLVoAPj7GKFnSWDcQnSFQK88ePwY6dpR3tX/4Aejf3xgaTdq4bW2I15mhY54plxHyzNQUmDhRNumfP98YgwYZf1Xh0ZDyLDJS9nNfsEA+r19fFvyzZTOM+LSU5lm3boCXF/DvvxosXGiqG5A2ozCkayytYJ7F78mTxKYzAbMwYbzOlDP0PFMSW6IH6Dt16hR2796tt+6XX36Bk5MTcuXKhV69eun1af8SMzMzODs7IyAgQG99QECAXrP+T1WrVi1W+n379qFixYrxnrQQAsHBwciTwFxl4eHhuHLlSoJpKGU0awbMnCmXBw8G9u1TNx61RUcDHTrIqWSKFwdWrDDcUaiJKGX98IP8HnjxQrbwSQ8ePgTq1PlY0B83Dti5Uw60ldaZmMgZUwBZ6H/0SN14iNKyxP4k5093ooQlurA/adIk/PPPP7rnFy5cQPfu3VG3bl38r737DoviatsAfi9dQbCgiIKIjaCoiFjQIDbEjmKLGkuwRmMjamwoqLHFKBprFESNEWOJLYj62hsWFGMSorE3iF2wIWW+P87HwgrqLgFmd7l/18Xl7Mzs7LPH2d15Zs48Z8KECdi1axdmz56t0YsHBARg9erVCAsLQ1xcHMaMGYPbt29j6NChAETX+b59+yrXHzp0KG7duoWAgADExcUhLCwMoaGhGDt2rHKd4OBg7N27F9evX0dsbCwGDBiA2NhY5TYBYOzYsThy5Ahu3LiB06dPo2vXrkhMTES/fv00ip/yxrhxQL9+QHq6GJ4vLk7uiOQTHAwcOCAKPm3ZAlhYyB0REcnF0BAIChLTCxeKQna67NQpoG5d4NgxoFgxYPt2YMYM6NX9tp07A/XrAy9fAjNnyh0Nke7y9PxwIq9QAPb2Yj0iej+1k/3Y2Fi0aNFC+TgiIgINGjTAqlWrEBAQgMWLF+OXX37R6MV79OiBkJAQTJ8+Ha6urjh69CgiIyPh4OAAAIiPj8ft27eV6zs6OiIyMhKHDx9WVtlfvHgxunTpolzn2bNnGDx4MJydndGqVSvcu3cPR48eRf369ZXr3L17Fz179oSTkxP8/PxgYmKC6Oho5etSwVIogJUrxVBLiYliiLnHj+WOquBFRYkDX0Bc0a9eXd54iEh+XbsCtWqJ78Z3RpnVGZIELF8OeHmJXkvVqwNnz4ph9vSNQpHZW23lSuD6dXnjIdJVb97gvaNaZPR4DAnRr5OFRPlB7Xv2nz59qnIv/ZEjR9C6dWvl43r16uHOnTsaBzBs2DAMGzYsx2Xh4eHZ5nl5eeH8+fPv3d7ChQux8CP9HSMiIjSKkfKfqakYS7VBA3Fw1KWL6NJvYiJ3ZAXj9m3g88/F9NCh4p59IiIDA2D6dFHbZPFiYMwYoHRpuaNS3+vXwLBhQMbPedeuQFiYuLKvr5o1EwUW9+0Dpk4FfvpJ7oiIdEt6ujgmunEDsLQUvR2zluyysxOJvp+fbCES6Qy1r+zb2Ngoi/O9ffsW58+fh4eHh3J5UlKSVhcyIO1XujSwa5c4CDxyRBwgqjcwpG57+xbo3l30ZqhbV3/uzSWivNGxoyho+vIlMHeu3NGo79Yt0WMrPFyctJg3D/jlF/1O9DNk3NX488/AxYvyxkKkayZNErf5mJgAe/YAd+8C+/enIiDgHPbvT8WNG0z0idSldrLfunVrTJgwAceOHcPEiRNRtGhReGa5Ueb3339H5cqV8yVIKjxq1AA2bRIHhqGhhSPxHTcOOH0aKF4c2Lz5/d3WiKhwUiigrOy+dCkQHy9vPOr43//Eycvz5wFra3GVe9y4wlNw1M0N6NFDnLCeNEnuaIh0x5o1mSc1w8KARo1EV30vLwlNmtyDl5fErvtEGlA72Z85cyYMDQ3h5eWFVatWYdWqVTDJ0sc6LCwMrVq1ypcgqXBp00ZUMgaAsWOB3bvljSc/bd4suuYCwNq1gKOjvPEQkXZq3Rrw8BD3sWpYC7dASZI4UPfxEb2V3N2BmBhRgb+wmTlTVOiPjASOHpU7GiLtd+QIMGSImA4M5C2NRHlB7WS/dOnSOHbsGJ4+fYqnT5+ic+fOKss3b96MadOm5XmAVDiNHAkMHiwOHHv2BC5dkjuivHf5MuDvL6a/+UZ01SUiyolCkVnAc+VKIBclcvJdUpIYUWXCBHHPrb+/qLxfoYLckcmjShVg4EAxPXFi4bgtjSi3rl4VXfNTUkSvmOBguSMi0g9qJ/sZrKysYJhD/5mSJUuqXOkn+i8UCmDJEqB5c+DFC6BDB+DBA7mjyjuvXolCVS9eAE2acIgmIvq45s1FRfu3bzPHc9cWf/8tCqxu3QoYG4sTEqtX87akwECgSBHg5ElRk4aIsnv6VIzE9OSJGLpyzZrCc8sPUX7TONknKijGxqKbe9WqotBT586iC6uukyRRfPCPPwAbGyAiQnT1JCL6kKxX90NDRaVqbbB9uzhAj4sDypcXXdYHD+bBOgCUKweMHi2mJ00C0tJkDYdI66SkiB5Bly8D9vbAjh3iBBkR5Q0m+6TVSpYUV0OKFxdXRgYN0v2ukGFh4v58AwNg40bA1lbuiIhIV3h6At7eQGpqZtE+uaSlAZMnixOxSUmil1JMDNCwobxxaZvx44ESJYA//wQ2bJA7GiLtIUnAV18BBw4AFhaiRlPZsnJHRaRfmOyT1nNyElf4DQ3FeMVz5sgdUe7FxgLDh4vpGTPEeMxERJrIuLq/bh1w5Yo8MTx+DLRtC8yaJR6PGSMq8NvYyBOPNiteXNQxAICpU4HkZFnDIdIaixYBP/4oegFt3AjUqiV3RET6h8k+6YSWLcU9/IDoCrltm7zx5Mbz5+I+/eRkcZCccfBHRKSJBg2Adu1EETw5ilhduCCq7O/bJ7rb/vyzGEHF2LjgY9EVI0aILv23bgErVsgdDZH8du8GAgLE9Pffi3v2iSjvMdknnTF0qDhgAoA+fcT4zbpCkoAvvgCuXQMcHID160U3fiKi3Mjowr9xo+geXlDWrxfjXt+8CVSuDERHixFT6MOKFAGCgsT0zJnitgeiwuriReCzz8Sx0eDBmXUtiCjvMd0gnbJggRi/+dUrMVTd/ftyR6SehQuBX3/NLDpYsqTcERGRLnNzE8NUSVJmEpmf3r4VJ1v79hWFUtu2Bc6eZbdbTXzxBVCtGvDokbiSSVQYJSSIEZZevhQjjCxZwmKeRPmJyT7pFCMjYNMmwNkZuHcP8PUVib82O3FCFGgCRNJfr5688RCRfggOFgfJW7aIeiD5JT4+86AcAKZNE4VTS5TIv9fUR0ZGmUMmfv+9fg0nS6SO16/FcdudO+LE15YtvP2HKL8x2SedY2UlDjRLlQLOnRNXS7S1Qv+DB0CPHqJq9WefiSH3iIjygouL+H4BRAKeH06cEL0ITpzI/O4NCuJtSLnVpYuod/DiRWbiT1QYpKcD/fsDZ86I3o2//cYThkQFgT/XpJMqVxZF+oyNgV9+kadI1cekpQG9e4seCJ98kllxlogor2Qk3jt3im71eUWSgKVLgaZNRbdbFxdxcpVFtP4bhSJzRJnly0XtA6LCIDhYHK8ZG4vjtypV5I6IqHBgsk86q0mTzKrGwcFARIS88bxr+nQxFFXRoqKrWrFickdERPrGyQn4/HMxPXVq3mzz9WtxBe6rr4DUVNErKTqaB+d5pUULMcJMSkr+9cgg0iYbNmQWFV25EvDykjceosKEyT7pNH9/YOxYMf3FF6J7mDbYuzdzLOwVK4AaNeSNh4j019SpgKEhEBUFnDz537Z144aotr9undjmggViaD1z87yJlYTZs8W/69cDly7JGwtRfjp5UhyrAcA334hjNSIqOEz2SefNmSO6lr55k1n4RU537oju+5IEDBkihgkkIsovlStnHkAHBuZ+O/v2ifvJY2OB0qVFz6QxY3j7UX5wdwe6dRO/E5Mnyx0NUf64eRPo1EmM5tGpEzBrlswBERVCTPZJ5xkaiitPNWuKe0s7dhTFj+Tw9i3QvTvw+LEoahUSIk8cRFS4TJki7oU9eBA4dEiz50qSOAhv3Rp48gSoXx84f17cr0/5Z8YM8fu1a5cogEikT54/FxdiHj4E6tQBfvqJhT2J5MCPHemFYsXEAVOZMuKqVJ8+ovJrQRs/XtzbamUFbN4MmJkVfAxEVPg4OACDBonpwED1RyhJTAT8/MTVZUkCBg8Gjh4F7OzyL1YSnJwyuzdPmKC9o8oQaSqj1seffwLlyonjM94KRCQPJvukNxwcgO3bARMT8W9Bd43csgVYtEhMr1sHVKpUsK9PRIXbpEmAqam4Srxv38fXj4sTV/EzvjdXrRLFs0xN8z1U+n/TpomTwsePA5GRckdDlDcCAkQNkSJFxEgh5cvLHRFR4cVkn/SKhwcQFiam58wRSXdBuHIl8wrNuHHiVgIiooJUvjzw5Zdi+mNX97duFYn+5cviKv6xY8DAgQUTJ2UqXx4YOVJMT5wohmwl0mVLlwI//CCmf/oJqFtX3niICjsm+6R3evfOvKo/aJC4YpKfXr0CunYFkpIAT0/g22/z9/WIiN5nwgQx3OfZs8Du3dmXp6WJdbp2FbVNmjUDYmJE4k/ymDABKF5cVOXfuFHuaIhyb+9eYNQoMT17trhFiIjkxWSf9NL06UCXLqJgXufOoiJsfvnqK3GQVqYMEBEhimQREcnBxgYYMUJMBwYChw4pcPRoeRw5osC//4oifHPniuVjx4ru/mXKyBcvASVKiCHJAPF/9vatvPEQ5cZff4kCxWlpQP/+mfs0EcmLyT7pJQMDYO1aURH/0SOgQwdRiCqvhYUBa9aI14uIEIVoiIjkNG6cuA/84kXAx8cICxa4w9vbCOXLi+H0zM2BTZuA774DjIzkjpYA0ZXf1lacmF65Uu5oiDTz8KGovJ+YCDRpIvZhDtlJpB2Y7JPeMjcXhWFsbYE//gB69crb+yEvXgSGDxfT06eL7rBERHI7cgR48yb7/Izvv5kzxRU40h5Fi4pifYAYki8pSd54iNSVnCx6UN64AVSuLOqBmJjIHRURZWCyT3qtfHmR8JuZAb/9JobGywvPn4t7Xt+8Adq0EYWViIjklpaWec9sThQKYMECFoLTRv7+QJUq4ippSIjc0RB9nCSJ2kgnToghh3fvBqyt5Y6KiLJisk96z909syr/ggXA6tX/bXuSJA7Krl4FKlQA1q8X3fiJiOR27Bhw9+77l0sScOeOWI+0i7Gx6HUBiFssHj6UNx6ij5k1SxwDGRqK4Yc/+UTuiIjoXUxRqFDo1k10tQfE0FSHD+d+WyEhwLZt4sBs82agVKm8iJCI6L+Lj8/b9ahgdesmas0kJYlq5kTaavNmYMoUMb1kCdCypbzxEFHOmOxToTFlCtCzJ5CaKir1X72q+TZOnsy8FWDBAg5XRUTaxdY2b9ejgmVgkJnkL10K3LolbzxEOTl7FujbV0yPHg0MHSprOET0AUz2qdBQKIDQUKBBA+DJE1E59tkz9Z//8KEoapWaCvTokVmcj4hIW3h6AnZ276+ErVAA9vZiPdJO3t5A8+ZiCL6gILmjIVJ15w7QsaOoWdSuHTB/vtwREdGHMNmnQqVIEWD7dnGwe/lyZvL+MWlpQO/ewL17gJMTsGoVh5UhIu1jaAgsWiSm3/2OyngcEiLWI+2kUGRe3V+3DvjzT3njIcrw4oUYyjghAahZE9i4kd8lRNqOyT4VOmXLArt2iaH59u8XXdA+ZsYMsW6RIqIITbFi+R4mEVGu+PmJ76ny5VXn29mJ+X5+8sRF6qtfX/w/pacDkyfLHQ1R5kWPixcBGxtxHMVjISLtx2SfCqXatYENG8QVlKVLxd/77NuXWdxv5UrAxaVgYiQiyi0/P+DmTWD//lQEBJzD/v2puHGDib4u+fZbcQ//jh3AqVNyR0OF3YQJYihjU1OxTzo4yB0REamDyT4VWr6+wJw5YnrUKJHUv+vOHaBXr8yxZPv0KdgYiYhyy9AQ8PKS0KTJPXh5Sexuq2M++QT44gsxPWGC+B0iksPq1Zn35q9dK2ofEZFuYLJPhdq4cUC/fqJ7Wvfu4t7II0cUOHq0PA4cUKB7d+DxY6BOHWDxYrmjJSKiwmTaNHEl9ehRICpK7mioMDp0SAxZDADBwaJAMRHpDib7VKgpFKJr/qefAs+fi+793t5GWLDAHW3aGCE6GihaVIwna2Ymd7RERFSY2NsDI0aI6YkTxT38RAXlyhUxVHFqqhi6ODBQ7oiISFNM9qnQMzUF/P3FdFpa9uWvXomCNERERAVtwgTA0lL8DkVEyB0NFRaPH4uh9Z4+BTw8gLAwjkJEpIuY7FOhl5YGTJ36/uUKhajYn9OJACIiovxUqhTwzTdiOjAQePtW3nhI/719C3TtCly9Kgrx/forezcS6Som+1ToHTsG3L37/uWSJAr1HTtWcDERERFlGDVKDHd2/boolkaUXyRJ3KN/+LAYWm/3brHvEZFuYrJPhV58fN6uR0RElJfMzTN7oE2fDrx4IW88pL++/1502TcwELeNcLhhIt3GZJ8KPVvbvF2PiIgorw0aBFSuDPz7L7BokdzRkD7asQMYP15ML1wItG0rbzxE9N8x2adCz9MTsLN7f+EZhUJURPb0LNi4iIiIMhgbAzNmiOl580QBNaK8cuEC0KtXZjf+jFEgiEi3yZ7sL1u2DI6OjjAzM0PdunVx7CM3Rh85cgR169aFmZkZKlWqhBUrVqgsDw8Ph0KhyPb35s2bHLc3e/ZsKBQKjB49Oq/eEukYQ8PMqyTvJvwZj0NCxHpERERy6dEDcHUFEhOB2bPljob0xf37QIcOYvShVq2AxYtZeZ9IX8ia7G/atAmjR4/G5MmTceHCBXh6eqJNmza4fft2juvfuHEDbdu2haenJy5cuIBJkyZh5MiR2Lp1q8p6lpaWiI+PV/kzy6GM6NmzZ/Hjjz+iVq1a+fL+SHf4+QFbtgDly6vOt7MT8/385ImLiIgog4FBZpK/ZIkoHkv0X7x6Bfj6AvfuAc7OwKZNgJGR3FERUV6RNdlfsGABBgwYgIEDB8LZ2RkhISGwt7fH8uXLc1x/xYoVqFChAkJCQuDs7IyBAwfC398f8+fPV1lPoVCgbNmyKn/vevHiBXr37o1Vq1ahRIkS+fL+SLf4+QE3bwL796ciIOAc9u9PxY0bTPSJiEh7+PgAXl5AcjIQHCx3NKTL0tOBvn2Bc+fEEI+7dwPFi8sdFRHlJdnO3b19+xYxMTGYMGGCyvxWrVrh5MmTOT7n1KlTaNWqlco8Hx8fhIaGIiUlBcbGxgBEIu/g4IC0tDS4urpixowZqFOnjsrzhg8fjnbt2qFly5aYOXPmR+NNTk5GcnKy8nFiYiIAICUlBSkpKR9/wzLJiE2bY9Q2jRql4OXLe2jUqDrS0yWkp8sdkfbjfqY5tpnm2GaaY5tpThfabOZMBTw9jbBmjYSRI1Ph7CxfLLrQXtpGW9osMNAAW7cawsREwpYtabC3l6Ct/43a0ma6hG2mOV1pM03iky3Zf/ToEdLS0mDzzuCdNjY2SEhIyPE5CQkJOa6fmpqKR48ewdbWFp988gnCw8NRs2ZNJCYmYtGiRWjcuDEuXryIqlWrAgAiIiJw/vx5nD17Vu14Z8+ejeAcTqHv27cPRYsWVXs7ctm/f7/cIegctpnm2GaaY5tpjm2mObaZ5rS9zRo0qI/Tp20xZMhDTJig/vFMftH29tJGcrbZoUP2WLTIDQDw5ZcX8Pz5HURGyhaO2rifaY5tpjltb7NXr16pva7sd+Uo3qkAIklStnkfWz/r/IYNG6Jhw4bK5Y0bN4abmxt++OEHLF68GHfu3MGoUaOwb9++HO/jf5+JEyciICBA+TgxMRH29vZo1aoVLC0t1d5OQUtJScH+/fvh7e2t7PlAH8Y20xzbTHNsM82xzTTHNtOcrrRZxYqAm5uE6OhysLZuh/r1JVni0JX20iZyt9nx4wosWyaqDn/zTRpmzKgJoGaBx6EJudtMF7HNNKcrbZbRw1wdsiX71tbWMDQ0zHYV/8GDB9mu3mcoW7ZsjusbGRmhVKlSOT7HwMAA9erVwz///AMAiImJwYMHD1C3bl3lOmlpaTh69CiWLFmC5ORkGOZQdt3U1BSmpqbZ5hsbG2v1zpBBV+LUJmwzzbHNNMc20xzbTHNsM81pe5vVrg306wesWQNMmWKEgwflraCu7e2ljeRos2vXgG7dgJQUoEsXYNYsQxgY6M5wQ9zPNMc205y2t5kmsclWoM/ExAR169bN1k1i//79aNSoUY7P8fDwyLb+vn374O7u/t43LUkSYmNjYWtrCwBo0aIFLl26hNjYWOWfu7s7evfujdjY2BwTfSIiIiJtExQEmJgAhw8DWt7rlLTAs2diiL3Hj4G6dYF168QID0Skv2T9iAcEBGD16tUICwtDXFwcxowZg9u3b2Po0KEARNf5vn37KtcfOnQobt26hYCAAMTFxSEsLAyhoaEYO3ascp3g4GDs3bsX169fR2xsLAYMGIDY2FjlNosVKwYXFxeVP3Nzc5QqVQouLi4F2wBEREREuVShAjB8uJieMAEsKEvvlZoKdO8OxMWJYYV37gR0oOQUEf1Hst6z36NHDzx+/BjTp09HfHw8XFxcEBkZCQcHBwBAfHw8bt++rVzf0dERkZGRGDNmDJYuXYpy5cph8eLF6NKli3KdZ8+eYfDgwUhISICVlRXq1KmDo0ePon79+gX+/oiIiIjy06RJwOrVwIULwObNQI8eckdE2kaSgJEjRe8Pc3Ng1y6gXDm5oyKigiB7gb5hw4Zh2LBhOS4LDw/PNs/Lywvnz59/7/YWLlyIhQsXahTD4cOHNVqfiIiISBtYWwPjxgFTpwJTpgB+foAW32pKMvjhB2D5clHTYcMGwNVV7oiIqKDwTh0iIiIiHTZmDFCmDHD1KhAaKnc0pE0iI8X+AQDz5gG+vvLGQ0QFi8k+ERERkQ6zsAACA8V0cDCgwRDMpMcuXQI++0zUchgwAPj6a7kjIqKCxmSfiIiISMcNHgw4OgIJCcCiRXJHQ3L7919ReT8pCWjaFFi2TN6hGYlIHkz2iYiIiHSciQkwY4aYnjsXePJE3nhIPm/eAJ06AbduAVWrAlu3iv2DiAofJvtEREREeqBnT6BWLeD5c5HwU+EjSYC/PxAdDZQoAezeDZQsKXdURCQXJvtEREREesDAAJg1S0wvXgzcvStvPFTwZswANm4EjIyALVuAatXkjoiI5MRkn4iIiEhPtG0LeHqKrtzTp8sdDRWkiAhg2jQxvXw50Ly5vPEQkfyY7BMRERHpCYUCmD1bTIeFAZcvyxsPFYzoaKB/fzH99dfAwIGyhkNEWoLJPhEREZEeadxYVGJPSwOmTJE7Gspvt24Bvr5AcjLQsSPrNRBRJib7RERERHpm1ixxlX/LFuDsWbmjofySmAi0bw88eADUrg1s2AAYGsodFRFpCyb7RERERHrGxQXo00dMT5wobyyUP9LSxAgMf/wBlC0L7NoFWFjIHRURaRMm+0RERER6KDhYjK9+4ADwv//JHQ3ltbFjgchIwMwM2LkTsLeXOyIi0jZM9omIiIj0UMWKwJdfiukJE8QY7KQfVqwAQkLE9Lp1QL16soZDRFqKyT4RERGRnpo0SXTtjokR9++T7vvf/4CvvhLTM2cC3brJGw8RaS8m+0RERER6qkwZ0d0bACZPBlJS5I2H/pu//wa6dhX363/+uTiZQ0T0Pkz2iYiIiPRYQABgbQ388w8QHi53NJRbjx6JyvvPn4vhFVevFiMuEBG9D5N9IiIiIj1WrBgwZYqYDgoCXr2SNRzKheRkwM8PuHYNcHQEfv0VMDWVOyoi0nZM9omIiIj03NChgIMDcP8+sGSJ3NGQJiQJGDIEOHYMsLQEdu8GSpeWOyoi0gVM9omIiIj0nKkpMH26mJ49G3j6VN54SH1z5wJr1wKGhsAvvwDVq8sdERHpCib7RERERIVA796Aiwvw7Bkwb57c0ZA6tm0DJk4U04sXAz4+8sZDRLqFyT4RERFRIWBoCMyaJaYXLRJd+kl7xcSIivsAMGIEMGyYvPEQke5hsk9ERERUSLRvLyq5v36d2a2ftM+9e0DHjuL/qXVrYMECuSMiIl3EZJ+IiIiokFAogDlzxPTq1WI4PtIuL18CHTqInhc1agAREYCRkdxREZEuYrJPREREVIh8+inQrh2QlgYEBsodDWWVni667l+4ICru79oFWFnJHRUR6Som+0RERESFzKxZ4ir/pk3i3nDSDpMmAdu3AyYm4l9HR7kjIiJdxmSfiIiIqJCpVUtU5wdEgknyW7NGDLMHAGFhQKNG8sZDRLqPyT4RERFRIRQcDBgbA/v2AQcPyh1N4XbkCDBkiJgODMw8EUNE9F8w2SciIiIqhCpVykwwJ04EJEneeAqrf/4B/PyAlBSgRw9xEoaIKC8w2SciIiIqpKZMAczNgTNngF9/lTsa/ZeWBhw5osDRo+Vx5IgCjx6J4RCfPAHq1xdd+RUKuaMkIn3BZJ+IiIiokLKxAQICxPSkSUBqqrzx6LNt24CKFQFvbyMsWOAOb28j2NkBV64A9vbAjh1AkSJyR0lE+oTJPhEREVEhNnYsUKoUcPkysHat3NHop23bgK5dgbt3VecnJ4t/R48GypYt8LCISM8x2SciIiIqxCwtgcmTxXRQEPD6tazh6J20NGDUqA/XRAgJEesREeUlJvtEREREhdyXX4qu5HfvAkuXyh2Nfjl2LPsV/XfduSPWIyLKS0z2iYiIiAo5MzNg+nQxPWsW8OyZrOHoDUkCTp1Sb934+PyNhYgKHyb7RERERIQ+fYDq1YGnT4H58+WORnelpAAHD4qu+46OovChOmxt8zcuIip8mOwTEREREQwNgW+/FdMLF/JKsyaSkoAtW8QJExsboEULYPFi4NYt0WvCzOz9z1UoxC0Unp4FFy8RFQ5M9omIiIgIAODrCzRsCLx6BcycKXc02i0+HvjxR6BtW8DaGujWDfjpJ9Ezwtoa8PcXw+k9fgxs2CCSeoVCdRsZj0NCxMkWIqK8ZCR3AERERESkHRQKYM4coGlTkciOGQNUqSJ3VNpBkoC//xYJ/PbtwOnTqsurVAE6dRInTDw8VJN3Pz9x5X/UKNVifXZ2ItH38yuAN0BEhQ6TfSIiIiJS8vIC2rQB9uwBpk4Ffv5Z7ojkk5YGREeL5H7HDuCff1SXN2ggkntfX8DZOfuV+6z8/MR6hw6lYs+eWLRp44pmzYx4RZ+I8g2TfSIiIiJSMWuWSPY3bgTGjwdcXeWOqOC8fg3s3y+S+127gIcPM5eZmIj78X19gQ4dgHLlNNu2oSHg5SXh5ct78PKqzUSfiPIVk30iIiIiUuHqCvTsKZL9iRNF4q/PHj0Cdu8WCf6+faJmQYbixYF27USC37o1UKyYbGESEWmEyT4RERERZTNjBrB5MxAVBRw+LO7j1yfXronkfscO4PhxID09c1mFCpnd85s0AYyN5YuTiCi3ZK/Gv2zZMjg6OsLMzAx169bFsWPHPrj+kSNHULduXZiZmaFSpUpYsWKFyvLw8HAoFIpsf2/evFGus3z5ctSqVQuWlpawtLSEh4cH9uj7KWsiIiIiDVSuDAweLKYnThQF6nRZejpw9iwwZQpQs6YoqPf118DRo2KZqyswbRpw4QJw86YYOq9FCyb6RKS7ZL2yv2nTJowePRrLli1D48aNsXLlSrRp0wZ//fUXKlSokG39GzduoG3bthg0aBB++uknnDhxAsOGDUPp0qXRpUsX5XqWlpa4fPmyynPNsgxwamdnhzlz5qDK/5eXXbt2LXx9fXHhwgXUqFEjn94tERERkW4JDATCw0WRuh07RLV5XfL2LXDoUOYV/Pv3M5eJ++fF1fuOHYGKFWULk4goX8ia7C9YsAADBgzAwIEDAQAhISHYu3cvli9fjtmzZ2dbf8WKFahQoQJCQkIAAM7Ozjh37hzmz5+vkuwrFAqULVv2va/boUMHlcfffvstli9fjujoaCb7RERERP+vbFkx/N633wKTJomidNpeVO7ZM1FjYMcOIDISSErKXGZhIe679/UF2rYFSpaULUwionwnW7L/9u1bxMTEYMKECSrzW7VqhZMnT+b4nFOnTqFVq1Yq83x8fBAaGoqUlBQY/38/qxcvXsDBwQFpaWlwdXXFjBkzUKdOnRy3mZaWhs2bN+Ply5fw8PB4b7zJyclITk5WPk5MTAQApKSkICUl5eNvWCYZsWlzjNqGbaY5tpnm2GaaY5tpjm2mObZZdqNHA8uXGyEuToE1a1LRr19mf35taa87d4Dduw2wa5cChw8rkJqaOQZe2bIS2rdPR4cOEpo1k5ClsyfkCFtb2kyXsM00xzbTnK60mSbxKSRJnjuw7t+/j/Lly+PEiRNo1KiRcv6sWbOwdu3abN3wAaBatWro378/Jk2apJx38uRJNG7cGPfv34etrS2io6Nx9epV1KxZE4mJiVi0aBEiIyNx8eJFVK1aVfm8S5cuwcPDA2/evIGFhQV+/vlntG3b9r3xBgUFITg4ONv8n3/+GUWLFs1tMxARERFpve3bKyM83AXW1q+wbNkBmJikf/xJ+UiSgFu3LHH6dFmcPm2L69eLqyy3s0tCgwbxaNAgAVWqPIWB7FWqiIjyxqtXr9CrVy88f/4clpaWH1xX9mr8CoVC5bEkSdnmfWz9rPMbNmyIhg0bKpc3btwYbm5u+OGHH7B48WLlfCcnJ8TGxuLZs2fYunUr+vXrhyNHjqB69eo5vu7EiRMREBCgfJyYmAh7e3u0atXqo40sp5SUFOzfvx/e3t7Kng/0YWwzzbHNNMc20xzbTHNsM82xzXLWrBnwv/9JuHu3KG7daotRo0SyX5DtlZoKnDihwM6dCuzaZYCbNzOPCRUKCR4eEjp2lNChQzqqVjUD4Pj/f9qF+5jm2GaaY5tpTlfaLKOHuTpkS/atra1haGiIhIQElfkPHjyAjY1Njs8pW7ZsjusbGRmhVKlSOT7HwMAA9erVwz///KMy38TERFmgz93dHWfPnsWiRYuwcuXKHLdjamoKU1PTbPONjY21emfIoCtxahO2mebYZppjm2mObaY5tpnm2GaqjI2BoCBg4EBgzhxDDBpkCCurrMvzp71evBDj3m/fDvz2G/DkSeYyMzPA21sUDWzfXoEyZTKSfy0vKvD/uI9pjm2mObaZ5rS9zTSJTbZOTSYmJqhbty7279+vMn///v0q3fqz8vDwyLb+vn374O7u/t43LUkSYmNjYWtr+8F4JElSuSefiIiIiDL16wd88gnw+DHw/ff59zoJCcCqVUD79oC1NdClC7B+vUj0S5UC+vcHfv0VePQI2LkT8PcHypTJv3iIiHSVrN34AwIC0KdPH7i7u8PDwwM//vgjbt++jaFDhwIQXefv3buHdevWAQCGDh2KJUuWICAgAIMGDcKpU6cQGhqKjRs3KrcZHByMhg0bomrVqkhMTMTixYsRGxuLpUuXKteZNGkS2rRpA3t7eyQlJSEiIgKHDx9GVFRUwTYAERERkY4wMhJV+bt0ARYsAIYPz7tq9n//nTk8XnS0uCc/Q6VK4uq9ry/QqJGIg4iIPk7Wr8sePXrg8ePHmD59OuLj4+Hi4oLIyEg4ODgAAOLj43H79m3l+o6OjoiMjMSYMWOwdOlSlCtXDosXL1YZdu/Zs2cYPHgwEhISYGVlhTp16uDo0aOoX7++cp1///0Xffr0QXx8PKysrFCrVi1ERUXB29u74N48ERERkY7p3BmoXx84cwaYOVMk/bmRni6S+owE/926zO7umQl+jRrAB8o5ERHRe8h+bnTYsGEYNmxYjsvCw8OzzfPy8sL58+ffu72FCxdi4cKFH3zN0NBQjWIkIiIiIpF0z5kDNG8OrFgB1KunwMWL5WFurkCzZoDhB26Xf/0aOHBAJPe7dgH//pu5zNhYbNPXF+jYEShfPv/fCxGRvpM92SciIiIi3dGsGVC7NnDxItCvnxEAdyxYANjZAYsWAX5+mes+fiwK6+3YAURFAa9eZS6ztATatRMJfuvWUCn4R0RE/x2TfSIiIiJS27ZtItF/1717QNeuwNKlQHKySPCPHQPS0jLXsbMTyb2vL+DlBZiYFFzcRESFDZN9IiIiIlJLWhowalTOyzKK6r17d2atWpkJvpsb778nIiooTPaJiIiISC3HjgF37358vdq1xRB5vr6Ao2O+h0VERDlgsk9EREREaomPV2+9b74BevbM31iIiOjDDOQOgIiIiIh0g61t3q5HRET5h8k+EREREanF01MU2XvfffcKBWBvL9YjIiJ5MdknIiIiIrUYGorh9YDsCX/G45AQsR4REcmLyT4RERERqc3PD9iyBShfXnW+nZ2Y7+cnT1xERKSKBfqIiIiISCN+fqLS/qFDqdizJxZt2riiWTMjXtEnItIiTPaJiIiISGOGhoCXl4SXL+/By6s2E30iIi3DbvxEREREREREeobJPhEREREREZGeYbJPREREREREpGeY7BMRERERERHpGSb7RERERERERHqGyT4RERERERGRnmGyT0RERERERKRnmOwTERERERER6Rkm+0RERERERER6hsk+ERERERERkZ4xkjsAXSVJEgAgMTFR5kg+LCUlBa9evUJiYiKMjY3lDkcnsM00xzbTHNtMc2wzzbHNNMc20wzbS3NsM82xzTTHNtOcrrRZRv6ZkY9+CJP9XEpKSgIA2NvbyxwJERERERERFSZJSUmwsrL64DoKSZ1TApRNeno67t+/j2LFikGhUMgdznslJibC3t4ed+7cgaWlpdzh6AS2mebYZppjm2mObaY5tpnm2GaaYXtpjm2mObaZ5thmmtOVNpMkCUlJSShXrhwMDD58Vz6v7OeSgYEB7Ozs5A5DbZaWllq902ojtpnm2GaaY5tpjm2mObaZ5thmmmF7aY5tpjm2mebYZprThTb72BX9DCzQR0RERERERKRnmOwTERERERER6Rkm+3rO1NQU06ZNg6mpqdyh6Ay2mebYZppjm2mObaY5tpnm2GaaYXtpjm2mObaZ5thmmtPHNmOBPiIiIiIiIiI9wyv7RERERERERHqGyT4RERERERGRnmGyT0RERERERKRnmOyTXlMoFNi+fbvcYdB78P/nw/r3749OnTopHzdt2hSjR4+WLR6iwoLfTaTtbt68CYVCgdjYWLlDkdXhw4ehUCjw7NkzuUPRG+8ee9DHVaxYESEhIXKHkSMm+zLjB+rj+vfvD4VCke3v6tWrcoem0zLadejQodmWDRs2DAqFAv379y/4wHTUyZMnYWhoiNatW+fZNhctWoTw8PA825624T6oGf5e5B7bLlN+fFflpfw6qfngwQMMGTIEFSpUgKmpKcqWLQsfHx+cOnUqz16jMO9nd+7cwYABA1CuXDmYmJjAwcEBo0aNwuPHj9V6vj4l7Rm/bXPmzFGZv337digUCpmi0m5Zj/WNjY1hY2MDb29vhIWFIT09Xe7wdBqTfVJLSkqKrK/funVrxMfHq/w5Ojrmy2vl53uVux3fZW9vj4iICLx+/Vo5782bN9i4cSMqVKjwn7atbe81v4WFhWHEiBE4fvw4bt++/Z+2lZaWhvT0dFhZWaF48eJ5E6CWys99kIiyy8vvKl3SpUsXXLx4EWvXrsWVK1ewc+dONG3aFE+ePJE7NK3y9u1bjZ9z/fp1uLu748qVK9i4cSOuXr2KFStW4MCBA/Dw8NDJNs5NO2RlZmaGuXPn4unTp3kUkW6TJAmpqakfXCfjWP/mzZvYs2cPmjVrhlGjRqF9+/Yffa4+yqvjaCb7WiQqKgqffvopihcvjlKlSqF9+/a4du2acnlGl61t27ahWbNmKFq0KGrXrq1yVjooKAiurq4q2w0JCUHFihWVj8+ePQtvb29YW1vDysoKXl5eOH/+vMpzFAoFVqxYAV9fX5ibm2PmzJmoUqUK5s+fr7LeH3/8AQMDA5U480PGWfisf4aGhti1axfq1q0LMzMzVKpUCcHBwdm+EOLj49GmTRsUKVIEjo6O2Lx5s3JZRpv+8ssvaNq0KczMzPDTTz/pbTu+y83NDRUqVMC2bduU87Zt2wZ7e3vUqVNHOU/dffPddgTEgWWNGjVgamoKW1tbfPXVVyoxPHr0CJ07d0bRokVRtWpV7Ny5M5/fdd57+fIlfvnlF3z55Zdo3769ytX4jKsVv/32G2rXrg0zMzM0aNAAly5dUq4THh6O4sWLY/fu3ahevTpMTU1x69atQnGVKK/2webNm2fbtx4/fgxTU1McPHgw/99IAcupy6CrqyuCgoKUjxUKBVavXv3Bz9dff/2Ftm3bwsLCAjY2NujTpw8ePXpUAO9APuq0XVb6tG996Lsq43soq5yuRM6cORNlypRBsWLFMHDgQEyYMEHl9zKnK/OdOnVS6aWzbNkyVK1aFWZmZrCxsUHXrl0BiKt7R44cwaJFi5RX+W7evPmf3/ezZ89w/PhxzJ07F82aNYODgwPq16+PiRMnol27dgCA58+fY/DgwShTpgwsLS3RvHlzXLx4UbmNjOOClStXwt7eHkWLFkW3bt2UV6KDgoKwdu1a7NixQxn74cOHAQD37t1Djx49UKJECZQqVQq+vr4q7yvju37WrFmwsbFB8eLFlccz48aNQ8mSJWFnZ4ewsLBs7+3vv/9Go0aNYGZmhho1aihfM8PHPuNNmzbFV199hYCAAFhbW8Pb21vj9h0+fDhMTEywb98+eHl5oUKFCmjTpg3+97//4d69e5g8eTIAIDk5GePHj4e9vT1MTU1RtWpVhIaG4ubNm2jWrBkAoESJEiq9upKTkzFy5EiUKVMGZmZm+PTTT3H27NlsMZw4ceK9v7GA6NHSpEkTFClSBPb29hg5ciRevnypXF6xYkXMnDkT/fv3h5WVFQYNGqRxO2TVsmVLlC1bFrNnz37vOlu3blUeH1WsWBHff/+9ctnEiRPRsGHDbM+pVasWpk2bpny8Zs0aODs7w8zMDJ988gmWLVumXJb12MzT0xNFihRBvXr1cOXKFZw9exbu7u6wsLBA69at8fDhw2yvFRwcrPw8DBkyROUEiCRJmDdvHipVqoQiRYqgdu3a2LJli3J5xrHP3r174e7uDlNTUxw7duyDbZZxrF++fHm4ublh0qRJ2LFjB/bs2aP8rvrY5xQAdu7cCXd3d5iZmcHa2hp+fn7KZW/fvsX48eNRvnx5mJubo0GDBiqfmazHY05OTihatCi6du2Kly9fYu3atahYsSJKlCiBESNGIC0tTeV1k5KS0KtXL1hYWKBcuXL44YcfVJar+x0TFhaGSpUqwdTUFJIkfbDN1MFkX4u8fPkSAQEBOHv2LA4cOAADAwN07tw5W/eVyZMnY+zYsYiNjUW1atXQs2dPjc54JSUloV+/fjh27Biio6NRtWpVtG3bFklJSSrrTZs2Db6+vrh06RL8/f3h7++PNWvWqKwTFhYGT09PVK5cOfdvPJf27t2Lzz//HCNHjsRff/2FlStXIjw8HN9++63KeoGBgcoz+p9//jl69uyJuLg4lXW++eYbjBw5EnFxcfDx8VHr9fWlHb/44guVeMLCwuDv76+yjrr75rvtuHz5cgwfPhyDBw/GpUuXsHPnTlSpUkXlOcHBwejevTt+//13tG3bFr1799a5qwCbNm2Ck5MTnJyc8Pnnn2PNmjXZvqDHjRuH+fPn4+zZsyhTpgw6duyoctb21atXmD17NlavXo0///wTZcqUKei3IZu82AcHDhyIn3/+GcnJycrnbNiwAeXKlVMeRBZGH/p8xcfHw8vLC66urjh37hyioqLw77//onv37jJHrV30ad9S57vqQzZs2IBvv/0Wc+fORUxMDCpUqIDly5drFMO5c+cwcuRITJ8+HZcvX0ZUVBSaNGkCQNy65OHhgUGDBil78dnb22u0/ZxYWFjAwsIC27dvV/l/zCBJEtq1a4eEhARERkYiJiYGbm5uaNGihcrv0dWrV/HLL79g165diIqKQmxsLIYPHw4AGDt2LLp3767SE7FRo0Z49eoVmjVrBgsLCxw9ehTHjx9XJlhZk6eDBw/i/v37OHr0KBYsWICgoCC0b98eJUqUwOnTpzF06FAMHToUd+7cUYl93Lhx+Prrr3HhwgU0atQIHTt2VHadV/czvnbtWhgZGeHEiRNYuXKlRm375MkT7N27F8OGDUORIkVUlpUtWxa9e/fGpk2bIEkS+vbti4iICCxevBhxcXFYsWIFLCwsYG9vj61btwIALl++jPj4eCxatAgAMH78eGzduhVr167F+fPnUaVKFfj4+GQ7TvjQb+ylS5fg4+MDPz8//P7779i0aROOHz+e7STed999BxcXF8TExCAwMFCjdniXoaEhZs2ahR9++AF3797NtjwmJgbdu3fHZ599hkuXLiEoKAiBgYHKpLZ37944ffq0ykntP//8E5cuXULv3r0BAKtWrcLkyZPx7bffIi4uDrNmzUJgYCDWrl2r8lrTpk3DlClTcP78eRgZGaFnz54YP348Fi1ahGPHjuHatWuYOnWqynMOHDiAuLg4HDp0CBs3bsSvv/6K4OBg5fIpU6ZgzZo1WL58Of7880+MGTMGn3/+OY4cOaKynfHjx2P27NmIi4tDrVq1NG7H5s2bo3bt2ti2bZtan9PffvsNfn5+aNeuHS5cuIADBw7A3d1dub0vvvgCJ06cQEREBH7//Xd069YNrVu3xj///KNc59WrV1i8eDEiIiIQFRWFw4cPw8/PD5GRkYiMjMT69evx448/qpzcAMT+U6tWLZw/fx4TJ07EmDFjsH//fgCaf8ds3bo17+pxSCSrfv36Sb6+vjkue/DggQRAunTpkiRJknTjxg0JgLR69WrlOn/++acEQIqLi5MkSZKmTZsm1a5dW2U7CxculBwcHN4bQ2pqqlSsWDFp165dynkApNGjR6usd//+fcnQ0FA6ffq0JEmS9PbtW6l06dJSeHi4um83V/r16ycZGhpK5ubmyr+uXbtKnp6e0qxZs1TWXb9+vWRra6vyPoYOHaqyToMGDaQvv/xSkqTMNg0JCVFZRx/b8V0Z+97Dhw8lU1NT6caNG9LNmzclMzMz6eHDh5Kvr6/Ur1+/HJ/7vn3z3XYsV66cNHny5PfGAECaMmWK8vGLFy8khUIh7dmz57+/wQLUqFEj5XtPSUmRrK2tpf3790uSJEmHDh2SAEgRERHK9R8/fiwVKVJE2rRpkyRJkrRmzRoJgBQbG6uy3Xe/H7y8vKRRo0bl75spQHm5D75580YqWbKksk0lSZJcXV2loKCggngrBSLr/uDg4CAtXLhQZXnt2rWladOmKR9/7PMVGBgotWrVSmUbd+7ckQBIly9fzpf3IJfctN2vv/4qSZJ+7Vsf+q5as2aNZGVlpbL+r7/+KmU9VGzQoIE0fPhwlXUaN26s8nuZ0/dU1s/y1q1bJUtLSykxMTHHGPPre27Lli1SiRIlJDMzM6lRo0bSxIkTpYsXL0qSJEkHDhyQLC0tpTdv3qg8p3LlytLKlSslSRLHBYaGhtKdO3eUy/fs2SMZGBhI8fHxkiTlfEwXGhoqOTk5Senp6cp5ycnJUpEiRaS9e/cqn+fg4CClpaUp13FycpI8PT2Vj1NTUyVzc3Np48aNkiRl/u7OmTNHuU5KSopkZ2cnzZ07V5Ik9T7jXl5ekqurq7rNmE10dLTK5+VdCxYskABIp0+flgAo97d3ZfxWPn36VDnvxYsXkrGxsbRhwwblvLdv30rlypWT5s2bp/K8D/3G9unTRxo8eLDK6x07dkwyMDCQXr9+LUmS+F7o1KmTxu8/J1n3g4YNG0r+/v6SJKl+nnr16iV5e3urPG/cuHFS9erVlY9r1aolTZ8+Xfl44sSJUr169ZSP7e3tpZ9//lllGzNmzJA8PDwkSco5b9i4caMEQDpw4IBy3uzZsyUnJyeV+EuWLCm9fPlSOW/58uWShYWFlJaWJr148UIyMzOTTp48qfLaAwYMkHr27ClJUub/y/bt2z/WXMrXfF8+1KNHD8nZ2Vmtz6mHh4fUu3fvHLdz9epVSaFQSPfu3VOZ36JFC2nixImSJGUej129elW5fMiQIVLRokWlpKQk5TwfHx9pyJAhyscODg5S69ats8Xdpk0bSZLU/44xNjaWHjx4kGP8ucUr+1rk2rVr6NWrFypVqgRLS0vlPenv3lOX9cyYra0tAFF4Rl0PHjzA0KFDUa1aNVhZWcHKygovXrzI9jpZz4RlvFa7du2U3ch2796NN2/eoFu3buq/yVxq1qwZYmNjlX+LFy9GTEwMpk+frjxjb2Fhobwa8OrVK+VzPTw8VLbl4eGR7cr+u+9VHbrYjjmxtrZGu3btsHbtWqxZswbt2rWDtbW1yjrq7ptZ3+uDBw9w//59tGjR4oOvn3V/Njc3R7FixTTan+V2+fJlnDlzBp999hkAwMjICD169MjW3TLrfliyZEk4OTmp7IcmJia5OuutD/JiHzQ1NcXnn3+ubPfY2FhcvHix0Bf4+9DnKyYmBocOHVL5Dv3kk08AoMBvKdJm+rJvqftd9bFt1K9fX2Xeu48/xtvbGw4ODqhUqRL69OmDDRs2qPxm55cuXbrg/v372LlzJ3x8fHD48GG4ubkhPDwcMTExePHiBUqVKqXyebhx44bKZ6FChQqws7NTPvbw8EB6ejouX7783teNiYnB1atXUaxYMeV2S5YsiTdv3qhsu0aNGjAwyDwst7GxQc2aNZWPDQ0NUapUqWy/j1l/W4yMjODu7q78bVH3M56bYyB1Sf/fc+TGjRswNDSEl5eX2s+9du0aUlJS0LhxY+U8Y2Nj1K9fP9tx3Id+Y2NiYhAeHq7SDj4+PkhPT8eNGzeUz8uPdpg7dy7Wrl2Lv/76S2V+XFycyvsCgMaNG+Off/5Rdg/v3bs3NmzYAEC048aNG5VX9R8+fKgsipj1fc2cOTPb93fW3wEbGxsAUNm3bGxssu1XtWvXRtGiRZWPPTw88OLFC9y5cwd//fUX3rx5A29vb5XXXrduXbbXzos2lSQJCoVCrc9pbGzse487z58/D0mSUK1aNZXnHzlyRCXuokWLqvS0tbGxQcWKFWFhYaEy70OfxYzHWfdBdb5jHBwcULp06Vy2VM6M8nRr9J906NAB9vb2WLVqFcqVK4f09HS4uLhkKxJibGysnM64ly6jK6uBgUG2LnnvFnjo378/Hj58iJCQEDg4OMDU1BQeHh7ZXsfc3DxbjAMHDkSfPn2wcOFCrFmzBj169FD5Msgv5ubm2bp/p6enIzg4WOVenAxmZmYf3N679yC++171tR3fx9/fX9mdbenSpdmWq7tvZn2v73bne5+s+zMg/m90qfJqaGgoUlNTUb58eeU8SZJgbGz80cI8WffDIkWKFOoqvXmxDw4cOBCurq64e/cuwsLC0KJFCzg4OBTYeyhI6nxHAR/+fKWnp6NDhw6YO3dutudlnEjWR+q2XVb6sG997LtK3XZ593vq3ed8bDvFihXD+fPncfjwYezbtw9Tp05FUFAQzp49m+8FSc3MzODt7Q1vb29MnToVAwcOxLRp0zBs2DDY2tpmu98dwAdjymiLD313p6eno27dusqkLausB/U5fVZz+/uY9dhQnc94Tscp6qpSpQoUCgX++uuvHGvM/P333yhRokSujnEy9qOc9jl1fi+ztsOQIUMwcuTIbOtkLQT7X9rhfZo0aQIfHx9MmjRJ5QRhTu/h3c9Nr169MGHCBJw/fx6vX7/GnTt3lCfrMvaDVatWoUGDBirPMzQ0VHmcU97w7jx1j7uyrvvbb7+pfJ8A4uRoVnnRpnFxcXB0dER6evpHP6cfOvZMT0+HoaEhYmJisrVR1kQ+vz6L6nzH5Mc+yGRfSzx+/BhxcXFYuXIlPD09AQDHjx/XeDulS5dGQkKCypfIu/d8HDt2DMuWLUPbtm0BiOFS1C3I1LZtW5ibm2P58uXYs2cPjh49qnGMecXNzQ2XL1/OdhLgXdHR0ejbt6/K46yFv3JSmNoRgMq9g+/WLMjtvlmsWDFUrFgRBw4c0Ln7WtWVmpqKdevW4fvvv0erVq1UlnXp0gUbNmyAi4sLALHfZRxUPH36FFeuXFFeYaG82Qdr1qwJd3d3rFq1Cj///HO24jj6pHTp0oiPj1c+TkxMVLlCpQ43Nzds3boVFStWhJFR4TkcyE3b6fq+pc53VeXKlZGUlISXL18qDzjf/d1zcnLCmTNn0KdPH+W8c+fOqazzbvumpaXhjz/+UPkdMDIyQsuWLdGyZUtMmzYNxYsXx8GDB+Hn5wcTE5Nsha/yS/Xq1bF9+3a4ubkhISEBRkZGKoV433X79m3cv38f5cqVAwCcOnUKBgYGqFatGgDkGLubmxs2bdqkLMqV16Kjo5U1D1JTUxETE6M8cVoQn/FSpUrB29sby5Ytw5gxY1SSrYSEBGzYsAF9+/ZFzZo1kZ6ejiNHjqBly5bZtmNiYgIAKu1XpUoVmJiY4Pjx4+jVqxcAceLo3Llz2YpAfug31s3NDX/++edHjxfzy5w5c+Dq6qrcTwCx7737O3by5ElUq1ZNmYja2dmhSZMm2LBhA16/fo2WLVsqr8zb2NigfPnyuH79uvJqf166ePEiXr9+rfz/jI6OhoWFBezs7FCiRAmYmpri9u3bGvXUyI2DBw/i0qVLGDNmDOzs7D76Oa1VqxYOHDiAL774ItuyOnXqIC0tDQ8ePFAeS+Sl6OjobI+z7oPqfMfkh8Lz667lMiq0/vjjj7C1tcXt27cxYcIEjbfTtGlTPHz4EPPmzUPXrl0RFRWFPXv2qPzAVKlSBevXr4e7uzsSExMxbtw4ta/CGhoaon///pg4cSKqVKmSrctKQZo6dSrat28Pe3t7dOvWDQYGBvj9999x6dIlzJw5U7ne5s2b4e7ujk8//RQbNmzAmTNnEBoa+sFtF6Z2zIgno6vRu2c7/8u+GRQUhKFDh6JMmTJo06YNkpKScOLECYwYMSLP34Mcdu/ejadPn2LAgAGwsrJSWda1a1eEhoZi4cKFAIDp06ejVKlSsLGxweTJk2Ftba33lfY1kVf74MCBA/HVV1+haNGi6Ny5c77HLZfmzZsjPDwcHTp0QIkSJRAYGJit3T5m+PDhWLVqFXr27Ilx48bB2toaV69eRUREBFatWqXx9nRFbttOl/ctdb6rDhw4gKJFi2LSpEkYMWIEzpw5o1KtHwBGjBiBQYMGwd3dHY0aNcKmTZvw+++/o1KlSsp1mjdvjoCAAPz222+oXLkyFi5cqDJ2+u7du3H9+nU0adIEJUqUQGRkJNLT0+Hk5ARAVEU/ffo0bt68qezynrV7e248fvwY3bp1g7+/P2rVqoVixYrh3LlzmDdvHnx9fdGyZUt4eHigU6dOmDt3LpycnHD//n1ERkaiU6dOyq7IZmZm6NevH+bPn4/ExESMHDkS3bt3R9myZZWx7927F5cvX0apUqVgZWWF3r1747vvvoOvry+mT58OOzs73L59G9u2bcO4ceNUbgvIjaVLl6Jq1apwdnbGwoUL8fTpU2WB04L6jC9ZsgSNGjWCj48PZs6cCUdHR/z5558YN24cypcvj2+//RYlS5ZEv3794O/vj8WLF6N27dq4desWHjx4gO7du8PBwQEKhQK7d+9G27ZtUaRIEVhYWODLL79UjkhQoUIFzJs3D69evcKAAQNUYvjQb+w333yDhg0bYvjw4Rg0aBDMzc0RFxeH/fv3F8iJu5o1a6J3794qr/X111+jXr16mDFjBnr06IFTp05hyZIlKtX0AdGVPygoCG/fvlUeT2QICgrCyJEjYWlpiTZt2iA5ORnnzp3D06dPERAQ8J9ifvv2LQYMGIApU6bg1q1bmDZtGr766isYGBigWLFiGDt2LMaMGYP09HR8+umnSExMxMmTJ2FhYYF+/frl6jWTk5ORkJCAtLQ0/Pvvv4iKisLs2bPRvn179O3bFwYGBh/9nE6bNg0tWrRA5cqV8dlnnyE1NRV79uzB+PHjUa1aNfTu3Rt9+/bF999/jzp16uDRo0c4ePAgatasqbx4l1snTpzAvHnz0KlTJ+zfvx+bN2/Gb7/9BgBqf8fkB96zL7P09HQYGRnBwMAAERERiImJgYuLC8aMGYPvvvtO4+05Oztj2bJlWLp0KWrXro0zZ85g7NixKuuEhYXh6dOnqFOnDvr06aMc0kRdAwYMwNu3b7NVyy5oPj4+2L17N/bv34969eqhYcOGWLBgQbaulcHBwYiIiECtWrWwdu1abNiwAdWrV//gtgtTO2awtLTM8arDf9k3+/Xrh5CQECxbtgw1atRA+/btVSqe6rrQ0FC0bNky28EzIK6WxcbGKodjnDNnDkaNGoW6desiPj4eO3fuVF7JICEv9sGePXvCyMgIvXr1+ujtPLom4/cCEMMyNWnSBO3bt0fbtm3RqVMnjUfzKFeuHE6cOIG0tDT4+PjAxcUFo0aNgpWV1X9OrrRNXrSdLu9b6nxX3bx5Ez/99BMiIyNRs2ZNbNy4MdtwhL1798bEiRMxduxYuLm54caNG+jfv79Ke/j7+6Nfv37o27cvvLy84OjoqHJVv3jx4ti2bRuaN28OZ2dnrFixAhs3bkSNGjUAiKr2hoaGqF69OkqXLp2tNkxuWFhYoEGDBli4cCGaNGkCFxcXBAYGYtCgQViyZAkUCgUiIyPRpEkT+Pv7o1q1avjss89w8+ZN5ZVUQJzk9/PzQ9u2bdGqVSu4uLioJGeDBg2Ck5MT3N3dUbp0aZw4cQJFixbF0aNHUaFCBfj5+cHZ2Rn+/v54/fp1nlzpnzNnDubOnYvatWvj2LFj2LFjh7LmSUF9xqtWrYpz586hcuXK6NGjBypXrozBgwejWbNmOHXqFEqWLAkAWL58Obp27Yphw4bhk08+waBBg5TD35UvXx7BwcGYMGECbGxslL0T5syZgy5duqBPnz5wc3PD1atXsXfvXpQoUSJbO7zvN7ZWrVo4cuQI/vnnH3h6eqJOnToIDAws0NuVZsyYodJN383NDb/88gsiIiLg4uKCqVOnYvr06dlqgXTr1g2PHz/Gq1evsl0gGDhwIFavXo3w8HDUrFkTXl5eCA8PV9a0+S9atGiBqlWrokmTJujevTs6dOig8n0wY8YMTJ06FbNnz4azszN8fHywa9eu//TaUVFRsLW1RcWKFdG6dWscOnQIixcvxo4dO2BoaKjW57Rp06bYvHkzdu7cCVdXVzRv3hynT59WvsaaNWvQt29ffP3113ByckLHjh1x+vTpPBn14+uvv0ZMTAzq1KmDGTNm4Pvvv1f2VFT3OyY/KKR3bxChAtW6dWtUqVIFS5YskTsUtZ04cQJNmzbF3bt3830H1Wdsx8Lh8OHDaNasGZ4+fZrv96OSuJ2mYsWKOHv2LNzc3OQOJ0/p4u+FtsiLttPnfeu/8Pb2RtmyZbF+/Xq5Q8lXQUFB2L59e94Nh0VEVADYjV8mT58+xcmTJ3H48GEMHTpU7nDUkpycjDt37iAwMBDdu3dngppLbEeivJeSkoL4+HhMmDABDRs21KtkTBd/L7RFXrSdPu9bmnr16hVWrFgBHx8fGBoaYuPGjfjf//6nHEuaiIi0C5N9mfj7++Ps2bP4+uuv4evrK3c4atm4cSMGDBgAV1dXvT+Dn5/YjkR578SJE2jWrBmqVauGLVu2yB1OntLF3wttkRdtp8/7lqYyuqLOnDkTycnJcHJywtatW3MsuEZERPJjN34iIiIiIiIiPaNfFXiIiIiIiIiIiMk+ERERERERkb5hsk9ERERERESkZ5jsExEREREREekZJvtEREREREREeobJPhEREREREZGeYbJPRERUSEiShJYtW8LHxyfbsmXLlsHKygq3b9/O9ziePHmCESNGwMnJCUWLFkWFChUwcuRIPH/+XGW9p0+fok+fPrCysoKVlRX69OmDZ8+eqawzatQo1K1bF6ampnB1dc3x9SRJwvz581GtWjWYmprC3t4es2bNyqd3R0REpB2Y7BMRERUSCoUCa9aswenTp7Fy5Url/Bs3buCbb77BokWLUKFChTx9zZSUlGzz7t+/j/v372P+/Pm4dOkSwsPDERUVhQEDBqis16tXL8TGxiIqKgpRUVGIjY1Fnz59VNaRJAn+/v7o0aPHe2MYNWoUVq9ejfnz5+Pvv//Grl27UL9+/bx5g0RERFpKIUmSJHcQREREVHDWrl2Lr776Cr///jsqVqyIFi1awNLSErNmzcLYsWNx9OhRmJubo1WrVli4cCGsra0BAFFRUZg5cyb++OMPGBoawsPDA4sWLULlypUBADdv3oSjoyM2bdqEZcuWITo6GsuXL8cXX3zx0Zg2b96Mzz//HC9fvoSRkRHi4uJQvXp1REdHo0GDBgCA6OhoeHh44O+//4aTk5PK84OCgrB9+3bExsaqzI+Li0OtWrXwxx9/ZHsOERGRPuOVfSIiokKmX79+aNGiBb744gssWbIEf/zxBxYtWgQvLy+4urri3LlziIqKwr///ovu3bsrn/fy5UsEBATg7NmzOHDgAAwMDNC5c2ekp6erbP+bb77ByJEjERcXl+MtAzl5/vw5LC0tYWRkBAA4deoUrKyslIk+ADRs2BBWVlY4efKk2u91165dqFSpEnbv3g1HR0dUrFgRAwcOxJMnT9TeBhERkS4ykjsAIiIiKng//vgjXFxccOzYMWzZsgWhoaFwc3NTuZc9LCwM9vb2uHLlCqpVq4YuXbqobCM0NBRlypTBX3/9BRcXF+X80aNHw8/PT+1YHj9+jBkzZmDIkCHKeQkJCShTpky2dcuUKYOEhAS1t339+nXcunULmzdvxrp165CWloYxY8aga9euOHjwoNrbISIi0jW8sk9ERFQIlSlTBoMHD4azszM6d+6MmJgYHDp0CBYWFsq/Tz75BABw7do15b+9evVCpUqVYGlpCUdHRwDIVtTP3d1d7TgSExPRrl07VK9eHdOmTVNZplAosq0vSVKO898nPT0dycnJWLduHTw9PdG0aVOEhobi0KFDuHz5strbISIi0jW8sk9ERFRIGRkZKbvNp6eno0OHDpg7d2629WxtbQEAHTp0gL29PVatWoVy5cohPT0dLi4uePv2rcr65ubmar1+UlISWrduDQsLC/z6668wNjZWLitbtiz+/fffbM95+PAhbGxs1H6Ptra2MDIyQrVq1ZTznJ2dAYiTFLyPn4iI9BWTfSIiIoKbmxu2bt2KihUrKk8AZPX48WPExcVh5cqV8PT0BAAcP34816+XmJgIHx8fmJqaYufOnTAzM1NZ7uHhgefPn+PMmTPKyvmnT5/G8+fP0ahRI7Vfp3HjxkhNTcW1a9eUhQSvXLkCAHBwcMh1/ERERNqO3fiJiIgIw4cPx5MnT9CzZ0+cOXMG169fx759++Dv74+0tDSUKFECpUqVwo8//oirV6/i4MGDCAgIyNVrJSUloVWrVnj58iVCQ0ORmJiIhIQEJCQkIC0tDYC4+t66dWsMGjQI0dHRiI6OxqBBg9C+fXuVq/FXr15FbGwsEhIS8Pr1a8TGxiI2NlbZ26Bly5Zwc3ODv78/Lly4gJiYGAwZMgTe3t4qV/uJiIj0DZN9IiIiQrly5XDixAmkpaXBx8cHLi4uGDVqFKysrGBgYAADAwNEREQgJiYGLi4uGDNmDL777rtcvVZMTAxOnz6NS5cuoUqVKrC1tVX+3blzR7nehg0bULNmTbRq1QqtWrVCrVq1sH79epVtDRw4EHXq1MHKlStx5coV1KlTB3Xq1MH9+/cBAAYGBti1axesra3RpEkTtGvXDs7OzoiIiMh9YxEREekAhSRJktxBEBEREREREVHe4ZV9IiIiIiIiIj3DZJ+IiIiIiIhIzzDZJyIiIiIiItIzTPaJiIiIiIiI9AyTfSIiIiIiIiI9w2SfiIiIiIiISM8w2SciIiIiIiLSM0z2iYiIiIiIiPQMk30iIiIiIiIiPcNkn4iIiIiIiEjPMNknIiIiIiIi0jP/Byc3ETq+icLiAAAAAElFTkSuQmCC",
+      "text/plain": [
+       "<Figure size 1200x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(12, 5))\n",
+    "plt.plot(months[0:], stdev[0:], marker='o', color='b', linestyle='-', label=f'Month to Month Change in Standard Deviation in 20{var}')\n",
+    "plt.xlabel(f'Year 20{var}')\n",
+    "plt.ylabel('Standard Deviation')\n",
+    "plt.title(f'Month to Month Change in Standard Deviation in 20{var}')\n",
+    "plt.grid(True)\n",
+    "plt.legend()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "id": "81e0c83b-65bf-4343-b657-b3c42c8c1747",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(12, 5))\n",
+    "plt.plot(months[0:], skew[0:], marker='o', color='b', linestyle='-', label=f'Month to Month Change in Skewness in 20{var}')\n",
+    "plt.xlabel(f'Year 20{var}')\n",
+    "plt.ylabel('Skewness')\n",
+    "plt.title(f'Month to Month Change in Skewness in 20{var}')\n",
+    "plt.grid(True)\n",
+    "plt.legend()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6c28bdb3-624f-4f75-8d46-355e3af13258",
+   "metadata": {},
+   "source": [
+    "### Crosstables\n",
+    "Crosstables for metrics such as mean, standard deviation, skewness and CPS1 score for all the months and years are created.  \n",
+    "They provide an overview of how specific metrics change over months within a year and allow easy year-to-year comparisons."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 43,
+   "id": "6df16151-fdf1-4651-bc34-ac8d77c8e867",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "mean_v = []\n",
+    "std_dev = []\n",
+    "sk_ew =[]\n",
+    "for j in range(8):\n",
+    "    for i in range(12):\n",
+    "        alt = df[j][i]\n",
+    "        mean_v.append(alt['f'].mean())\n",
+    "        std_dev.append(alt['f'].std())\n",
+    "        sk_ew.append(alt['f'].skew())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 47,
+   "id": "548196cc-5bc2-4024-ba6d-ad3327627dff",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_10min = []\n",
+    "for j in range(8):\n",
+    "    for i in range(12): \n",
+    "        df[j][i]['dtm'] = pd.to_datetime(df[j][i]['dtm'], utc=True)\n",
+    "        df_10min.append(df[j][i].resample('10T', on='dtm').mean())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 67,
+   "id": "812c90ef-42c1-42ee-bfae-8a13d49a9ece",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "for i in range(len(df_10min)):\n",
+    "    df_10min[i]['del_f'] = df_10min[i]['f'] - 50"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 94,
+   "id": "08a588b3-3d04-4dfd-9e5b-d9487093c4e1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "cps1 = []\n",
+    "df1_10min = df_10min\n",
+    "e1 = 0.12\n",
+    "for i in range(len(df1_10min)):\n",
+    "    cps_ratio = df1_10min[i]['del_f'] * df1_10min[i]['del_f'] / (e1 ** 2)\n",
+    "    cps = (2 - cps_ratio)*100\n",
+    "    cps1.append(cps.to_frame(name='cps'))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 120,
+   "id": "9fdaa015-f9e3-463e-ab1d-8756b2d2d006",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "mean_cps1 = []\n",
+    "meancps1 = 0\n",
+    "i = 0\n",
+    "for i in range(len(df1_10min)):\n",
+    "    mean_cps1.append(cps1[i]['cps'].mean())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "id": "09ca49f4-b063-453a-a924-a5cbfdfebb51",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "start_date = datetime(2016, 1, 1)\n",
+    "end_date = datetime(2023, 12, 1)\n",
+    "date_list = []\n",
+    "while start_date <= end_date:\n",
+    "    date_str = start_date.strftime('%B %Y')\n",
+    "    date_list.append(date_str)\n",
+    "    start_date += timedelta(days=31)\n",
+    "    start_date = start_date.replace(day=1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "id": "a89c028a-cf25-48be-a0d4-5885c3bf36ce",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "years = list(range(2016, 2024))  \n",
+    "months = ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 98,
+   "id": "1ee622c4-f52f-497f-bf17-784a94d4643c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data = {\n",
+    "    'Year': np.repeat(years, len(months)),\n",
+    "    'Month': months * len(years),\n",
+    "    'Mean': mean_v,\n",
+    "    'Standard Deviation': std_dev,\n",
+    "    'Skewness': sk_ew,\n",
+    "    'CPS1 score': mean_cps1\n",
+    "}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 100,
+   "id": "0cbdafce-c860-4e43-8e5d-e8767df173c1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "dff = pd.DataFrame(data)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 102,
+   "id": "5810ef62-ea7d-4649-b09e-767f97db6a4d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "mean_crosstable = dff.pivot(index='Month', columns='Year', values='Mean')\n",
+    "std_crosstable = dff.pivot(index='Month', columns='Year', values='Standard Deviation')\n",
+    "skew_crosstable = dff.pivot(index='Month', columns='Year', values='Skewness')\n",
+    "cps1_crosstable = dff.pivot(index='Month', columns='Year', values='CPS1 score')\n",
+    "mean_crosstable_str = mean_crosstable.to_string()\n",
+    "std_crosstable_str = std_crosstable.to_string()\n",
+    "skew_crosstable_str = skew_crosstable.to_string()\n",
+    "cps1_crosstable_str = cps1_crosstable.to_string()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "id": "6f67ba2c-e2bd-42f1-b40d-d93e1dea387c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pd.set_option('display.max_columns', None)\n",
+    "pd.set_option('display.width', None)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "id": "68066775-4dfb-4271-b264-8adae595ba7d",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Mean Crosstable:\n",
+      "Year        2016       2017       2018       2019       2020       2021       2022       2023\n",
+      "Month                                                                                        \n",
+      "Apr    49.999878  49.999878  50.000670  49.999552  49.999934  49.999942  49.999384  49.998264\n",
+      "Aug    49.999770  49.999702  49.999890  49.999747  49.999964  49.999397  49.999926  49.999293\n",
+      "Dec    49.999381  49.999787  50.000083  49.999399  49.999871  49.999326  49.999655  49.999715\n",
+      "Feb    49.999959  49.999686  49.999038  49.999948  50.000108  49.999661  49.998789  49.999102\n",
+      "Jan    50.000125  49.999793  49.998279  49.999461  49.999706  49.998951  49.999627  50.000033\n",
+      "Jul    49.999706  49.999840  49.999390  49.999510  49.999065  49.999820  49.999321  49.999172\n",
+      "Jun    49.999848  49.999730  50.000576  49.999347  49.999108  49.999600  49.999305  50.000266\n",
+      "Mar    49.999352  49.999693  49.998407  49.999166  49.998770  49.999476  50.000166  50.000479\n",
+      "May    49.999601  49.999438  49.998767  49.999530  49.999207  49.999146  49.999992  49.999625\n",
+      "Nov    49.999588  49.999900  49.999388  49.999755  50.000155  49.999214  49.999453  49.999365\n",
+      "Oct    50.000258  49.999851  50.000641  49.999289  49.998838  49.999704  49.999501  49.999589\n",
+      "Sep    49.999633  49.999914  49.999365  49.999524  49.999784  49.999736  49.999712  49.999802\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(\"Mean Crosstable:\")\n",
+    "print(mean_crosstable_str)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "id": "85b9582b-59a2-4f49-b3d6-d9f9b16e5280",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Standard Deviation Crosstable:\n",
+      "Year       2016      2017      2018      2019      2020      2021      2022      2023\n",
+      "Month                                                                                \n",
+      "Apr    0.059400  0.059400  0.065470  0.063192  0.063690  0.061405  0.065917  0.067242\n",
+      "Aug    0.052781  0.059625  0.066557  0.061021  0.065087  0.056961  0.063289  0.071131\n",
+      "Dec    0.055308  0.060521  0.065476  0.065653  0.065637  0.065718  0.068682  0.073112\n",
+      "Feb    0.054133  0.062952  0.066638  0.067533  0.067354  0.065294  0.067501  0.066791\n",
+      "Jan    0.055868  0.057272  0.063057  0.067083  0.066901  0.065318  0.066502  0.067044\n",
+      "Jul    0.055510  0.058447  0.066160  0.063134  0.064728  0.056940  0.066154  0.070592\n",
+      "Jun    0.054363  0.058637  0.065116  0.065724  0.067197  0.056820  0.066083  0.066632\n",
+      "Mar    0.056035  0.061541  0.066643  0.064804  0.065229  0.064475  0.066229  0.068380\n",
+      "May    0.057202  0.057244  0.061135  0.062157  0.066222  0.061759  0.065877  0.068288\n",
+      "Nov    0.056556  0.062230  0.070056  0.063323  0.066119  0.067059  0.067321  0.075217\n",
+      "Oct    0.054953  0.065040  0.069178  0.062846  0.066868  0.062336  0.067863  0.073201\n",
+      "Sep    0.053231  0.060592  0.068534  0.063121  0.066686  0.059452  0.064260  0.071107\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(\"Standard Deviation Crosstable:\")\n",
+    "print(std_crosstable_str)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "id": "6d097b0e-efd2-4a8d-af1f-0b34bd71aae6",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "Skewness Crosstable:\n",
+      "Year       2016      2017      2018      2019      2020      2021      2022      2023\n",
+      "Month                                                                                \n",
+      "Apr    0.217128  0.217128  0.173684  0.021993  0.073176  0.016012 -0.011887  0.007425\n",
+      "Aug    0.248071  0.160088  0.080777 -0.167067  0.079276  0.049366 -0.079571 -0.008519\n",
+      "Dec    0.132137  0.143827  0.027453  0.040868  0.082740 -0.025699 -0.125877 -0.060243\n",
+      "Feb    0.179552  0.175251  0.210999  0.109476  0.088170  0.072333  0.036685 -0.051901\n",
+      "Jan    0.184200  0.141618  0.192784  0.055709  0.075563  0.045363 -0.038123 -0.077443\n",
+      "Jul    0.180075  0.167760  0.132483 -0.007209  0.035755  0.026994 -0.031983  0.051441\n",
+      "Jun    0.170529  0.242673  0.225864  0.024631 -0.039932  0.053358 -0.047610 -0.059344\n",
+      "Mar    0.162564  0.155698  0.258905  0.094293  0.027947  0.032388 -0.042444 -0.002858\n",
+      "May    0.192713  0.162299  0.274153  0.002589  0.036094  0.040346  0.010057 -0.022331\n",
+      "Nov    0.150797  0.084224  0.065879  0.047692  0.071973  0.000429 -0.033739 -0.030155\n",
+      "Oct    0.188476  0.214138  0.031436  0.048862  0.051417  0.073089 -0.064138 -0.007722\n",
+      "Sep    0.303528  0.220449  0.103113  0.057146  0.027404  0.051115 -0.127510 -0.029619\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(\"\\nSkewness Crosstable:\")\n",
+    "print(skew_crosstable_str)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 104,
+   "id": "960f2d28-e0a3-47a7-8ee3-d33161df831c",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "CPS1 score Crosstable:\n",
+      "Year         2016        2017        2018        2019        2020        2021        2022        2023\n",
+      "Month                                                                                                \n",
+      "Apr    183.996177  183.996177  181.385382  182.218842  179.070954  182.041797  181.375562  180.399911\n",
+      "Aug    186.952225  183.442019  181.345325  182.890788  181.708559  184.584225  181.723667  176.075023\n",
+      "Dec    185.348513  182.996043  180.037427  178.655198  178.736696  179.369068  177.473820  173.743788\n",
+      "Feb    185.683594  181.742086  180.694045  179.649062  177.713481  178.744541  178.832131  179.071724\n",
+      "Jan    184.723755  184.840957  182.318680  180.754368  178.167212  178.964729  179.642321  178.731897\n",
+      "Jul    186.200994  184.388248  182.062582  182.430439  181.194760  184.167548  180.475082  175.766169\n",
+      "Jun    187.295741  183.947224  181.632972  180.971938  180.530021  184.493614  181.405764  179.373259\n",
+      "Mar    185.523142  182.429363  179.868940  180.980422  178.728384  179.365798  180.157334  179.034306\n",
+      "May    185.692614  184.486919  182.894446  182.655476  179.833162  181.734409  180.878480  179.043274\n",
+      "Nov    185.200079  183.109000  177.509532  180.463666  178.945962  179.565284  178.780376  172.497467\n",
+      "Oct    186.462539  181.964524  178.959274  181.594413  178.926271  181.019630  179.658254  174.621248\n",
+      "Sep    185.969684  183.100440  179.720117  180.951803  180.456883  182.831804  181.373564  175.956638\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(\"\\nCPS1 score Crosstable:\")\n",
+    "print(cps1_crosstable_str)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c9507fb6-0105-4981-9dc4-29969c015d80",
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
+   "source": [
+    "### Purpose of month-to-month analysis\n",
+    "\n",
+    "1. Comparative Analysis:\n",
+    "    - Allow quick comparisons between months within the same year.\n",
+    "    - Enable cross-year comparisons for the same month (e.g., January 2016 vs. January 2023).\n",
+    "\n",
+    "\n",
+    "2. Trend Identification:\n",
+    "\n",
+    "   Help identify long-term trends, such as:\n",
+    "    - Increasing variability (standard deviation) over years.\n",
+    "    - Changes in distribution symmetry (skewness) over time.\n",
+    "    - Seasonal or cyclical patterns in frequency (e.g., high means in summer months).\n",
+    "\n",
+    "\n",
+    "3. Summarized Insights:\n",
+    "    - Provide a clear, high-level summary of key metrics without requiring extensive manual exploration of raw data.\n",
+    "   "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "fd1fabd9",
+   "metadata": {},
+   "source": [
+    "\n",
+    "---\n",
+    "\n",
+    "## Yearly Data Aggegration\n",
+    "- Data for each year (2016–2023) is stored as separate dataframes (df_2016, df_2017, etc.).\n",
+    "- Monthly data within each year is concatenated to create a complete yearly dataset.\n",
+    "- All yearly datasets are appended to a list yearsData for easier iteration and analysis.\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "d750af4c-1af1-4a70-81c8-84054bb15d5e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "import seaborn as sns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "750423d9-69ca-4631-a408-e575bd84173f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "file_path23 = []\n",
+    "file_path22 = []\n",
+    "file_path21 = []\n",
+    "file_path20 = []\n",
+    "file_path19 = []\n",
+    "file_path18 = []\n",
+    "file_path17 = []\n",
+    "file_path16 = []\n",
+    "for j in range(12):\n",
+    "    file_path23.append(f\"Time series data/fnew-2023-{j+1}.csv\")\n",
+    "    file_path22.append(f\"Time series data/fnew-2022-{j+1}.csv\")\n",
+    "    file_path21.append(f\"Time series data/fNew 2021 {j+1}.csv\")\n",
+    "    file_path20.append(f\"Time series data/fNew 2020 {j+1}.csv\")\n",
+    "    file_path19.append(f\"Time series data/f 2019 {j+1}.csv\")\n",
+    "    file_path18.append(f\"Time series data/f 2018 {j+1}.csv\")\n",
+    "    file_path17.append(f\"Time series data/f 2017 {j+1}.csv\")\n",
+    "    file_path16.append(f\"Time series data/f 2016 {j+1}.csv\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "87631c8c-d614-4fe0-9ecc-cf536d530e6d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df23 = [pd.read_csv(file) for file in file_path23]\n",
+    "df_2023 = pd.concat(df23).reset_index(drop=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "cde90805-8fc8-4405-9853-3a3eafdbd4ce",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df22 = [pd.read_csv(file) for file in file_path22]\n",
+    "df_2022 = pd.concat(df22).reset_index(drop=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "e3029c4a-1522-4f54-a7d0-37fd67d7c9b7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df21 = [pd.read_csv(file) for file in file_path21]\n",
+    "df_2021 = pd.concat(df21).reset_index(drop=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "5d271be5-39ac-47ba-b2d6-d35d62069370",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df20 = [pd.read_csv(file) for file in file_path20]\n",
+    "df_2020 = pd.concat(df20).reset_index(drop=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "8ef28036-f851-4df2-8323-d182a661897e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df19 = [pd.read_csv(file) for file in file_path19]\n",
+    "df_2019 = pd.concat(df19).reset_index(drop=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "6e7b6641-82d0-4e17-9892-a642e1ac4ab5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df18 = [pd.read_csv(file) for file in file_path18]\n",
+    "df_2018 = pd.concat(df18).reset_index(drop=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "id": "5ef8543d-8ab4-4ccb-8622-122c2fd946de",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df17 = [pd.read_csv(file) for file in file_path17]\n",
+    "df_2017 = pd.concat(df17).reset_index(drop=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "id": "00a4fc5b-d1b6-4709-a86e-18ef17b6eff3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df16 = [pd.read_csv(file) for file in file_path16]\n",
+    "df_2016 = pd.concat(df16).reset_index(drop=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "id": "4f86d1d8-24c7-40e0-bb7c-8da63d30f4c7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "yearsData =[]\n",
+    "yearsData.append(df_2016)\n",
+    "yearsData.append(df_2017)\n",
+    "yearsData.append(df_2018)\n",
+    "yearsData.append(df_2019)\n",
+    "yearsData.append(df_2020)\n",
+    "yearsData.append(df_2021)\n",
+    "yearsData.append(df_2022)\n",
+    "yearsData.append(df_2023)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "bd3884c4-77e5-40a3-ac95-3abf2b2b5cc2",
+   "metadata": {},
+   "source": [
+    "### Computation of Metrics:\n",
+    "For each year, the following statistics are calculated:\n",
+    "- Mean\n",
+    "- Standard Deviation\n",
+    "- Skewness\n",
+    "\n",
+    "The yearly mean, standard deviation, and skewness are displayed in ascending order for quick inspection."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "id": "c6ec87b6-3b92-4dff-b2e0-51a1cfd62101",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "The MEAN of the yearly data from 2016 to 2023 in ascending order is:\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "[49.99975741420648,\n",
+       " 49.999767267345355,\n",
+       " 49.99954026373018,\n",
+       " 49.99951522523475,\n",
+       " 49.99953736133252,\n",
+       " 49.999495081811176,\n",
+       " 49.99957675126834,\n",
+       " 49.99956397967398]"
+      ]
+     },
+     "execution_count": 25,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "mean = []\n",
+    "for i in range(8):\n",
+    "    var = yearsData[i]\n",
+    "    mean.append(var['f'].mean())\n",
+    "print('The MEAN of the yearly data from 2016 to 2023 in ascending order is:')\n",
+    "mean"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "id": "83f5e87b-1de8-4b07-b142-d24a9a4ba60e",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "The STANDARD DEVIATION of the yearly data from 2016 to 2023 in ascending order is:\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "[0.05547457093110161,\n",
+       " 0.060313145784300616,\n",
+       " 0.06619979694933396,\n",
+       " 0.06413676008403366,\n",
+       " 0.06598002460527315,\n",
+       " 0.062045348380162145,\n",
+       " 0.06631743631902193,\n",
+       " 0.06997593350081385]"
+      ]
+     },
+     "execution_count": 27,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "stdev = []\n",
+    "for i in range(8):\n",
+    "    var1 = yearsData[i]\n",
+    "    stdev.append(var1['f'].std())\n",
+    "print('The STANDARD DEVIATION of the yearly data from 2016 to 2023 in ascending order is:')\n",
+    "stdev"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "id": "7210d0a4-67b9-43b9-a4bf-b11788777e8c",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "The SKEWNESS of the yearly data from 2016 to 2023 in ascending order is:\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "[0.1912503209107049,\n",
+       " 0.17418984273777707,\n",
+       " 0.14306793985320065,\n",
+       " 0.030642071887173578,\n",
+       " 0.05038155168385676,\n",
+       " 0.033768456501354335,\n",
+       " -0.04686138489464443,\n",
+       " -0.023525703337346666]"
+      ]
+     },
+     "execution_count": 29,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "skew = []\n",
+    "for i in range(8):\n",
+    "    var2 = yearsData[i]\n",
+    "    skew.append(var2['f'].skew())\n",
+    "print('The SKEWNESS of the yearly data from 2016 to 2023 in ascending order is:')\n",
+    "skew"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "id": "16824c33-8ae0-486f-a24f-bb0460dbbbf2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "years = ['2016','2017','2018','2019','2020','2021','2022','2023']"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c2ef42a4-aae9-4551-8db6-85dd3af2a94f",
+   "metadata": {},
+   "source": [
+    "### Visualization of Yearly Trends\n",
+    "Three separate line plots are created to illustrate:\n",
+    "- Changes in mean over the years.\n",
+    "- Trends in standard deviation across years.\n",
+    "- Variations in skewness across the dataset for each year.\n",
+    "\n",
+    "These plots help visualize how the frequency variable (f) evolves from 2016 to 2023."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "id": "8ccf2ad1-1f0c-4f08-9705-a22527ddc92a",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(8, 5))\n",
+    "plt.plot(years[0:], mean[0:], marker='o', color='b', linestyle='-', label='Year-to-Year Change in Mean')\n",
+    "plt.xlabel('Year')\n",
+    "plt.ylabel('Mean')\n",
+    "plt.title('Year-to-Year Change in Mean')\n",
+    "plt.grid(True)\n",
+    "plt.legend()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "id": "97e93748-6953-4ad9-af5e-1891e7caba50",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(8, 5))\n",
+    "plt.plot(years[0:], stdev[0:], marker='o', color='b', linestyle='-', label='Year-to-Year Change in Standard Deviation')\n",
+    "plt.xlabel('Year')\n",
+    "plt.ylabel('Standard Deviation')\n",
+    "plt.title('Year-to-Year Change in Standard Deviation')\n",
+    "plt.grid(True)\n",
+    "plt.legend()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "id": "eb1d0377-10e5-452b-90e4-74843752475d",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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Pnz7FgQMHMGHCBLRs2RIXLlzQ+NwT5SYsjokoQ+XLl0fZsmVx4sSJdMXUm1QqVbp/yE+ePImIiAi4urq+81w1a9bMcP+bPZWvx1asWDGsX78eI0aMUBeeT58+xZYtW9QzWABApUqV3nn+17Vs2RLTpk2Dg4PDW4v0tHO+ft1CCCxduvS9zpeR8ePHo1OnThg8eDCWLl2arrB+8uQJ/vrrrwxnrHibjP6c/ve//yEmJgZlypR57zjr1KkDS0tLbNq0SeM/UIcPH8a1a9c0iuOs5tVQYmNjM+zNf/LkCW7cuJHhf6KqVauG8PBwNGnSBA0bNkRYWBicnJxgY2ODRo0a4fjx46hcubLGNxEZadKkCX766ScEBgaibt266oK1cePG+O233xAZGfnOv3OZadmyJTZu3IiUlBTUqVMnS+8xNTVFnTp14OHhgXXr1uHYsWPq4jhNvnz50Lx5cyQmJqJt27Y4ffo0i2PKtVgcE1GmlixZgubNm6Np06bo0aMHihUrhvv37+Ps2bM4duwYfvnlFwDyH+QpU6ZgwoQJ8PHxwfnz5zF58mSULFkSycnJ2T5/6dKlYW1tjXXr1sHT0xO2trYoWrQoihYtih9++AGfffYZWrZsiX79+iEhIQEzZ87Ew4cP8f3332f7nEOHDsWWLVvQoEEDDBs2DJUrV0ZqaiquX7+O0NBQDB8+HHXq1IGvry8sLCzQpUsXjBw5Ei9evMCiRYvUwzm08cknn2D8+PGYMmUKzp07h169eqF06dJ49uwZjhw5giVLlqBz587vXRy3bNkSq1atgoeHBypXroyjR49i5syZKF68eLbiLFSoEAICAjB9+nQULFgQ7dq1w82bNzFp0iS4uLhojAfPal4N5bvvvsOhQ4fQuXNnVK1aFdbW1oiOjsb8+fNx7949zJw5M8P3eXp64uDBg2jSpAkaNGiA3bt3o3jx4ggKCsKHH34Ib29vfPnll3B3d8fjx49x6dIl7Ny5E3v37lUf46OPPoJKpUJoaCgmTZqk3t+kSRN0795dvZ0dn376KdatW4cWLVpgyJAhqF27NszNzXHz5k3s27cPbdq0Qbt27bB48WLs3bsXH3/8MUqUKIEXL16oe/XTzt2nTx9YW1ujfv36cHFxQVxcHKZPnw57e3v1NItEuZKitwMSUY7i4+MjPvjgA419J06cEJ06dRJOTk7C3NxcFClSRHz00Ucai4YkJCSIESNGiGLFigkrKytRvXp1sW3btnQzDKTNVjFz5swsx7Rhwwbh4eEhzM3NBQAxYcIE9Wvbtm0TderUEVZWViJfvnyicePG4tChQ1k+dtpUcW/OoPDkyRMxbtw4Ub58eWFhYaGeomvYsGEiLi5O3W7nzp2iSpUqwsrKShQrVkx8/fXX4vfffxcANKawyyivWREeHi46duwoXFxchLm5ubCzsxP16tUTM2fO1JihAZksAuLm5ia6d++ufv7gwQPRq1cv4eTkJGxsbMSHH34oDh48KHx8fDRmlkibreKXX37ROF7an9/rs4ekpqaKqVOniuLFiwsLCwtRuXJlsWvXLlGlShWNmUqEyHpeM5LZbBVZue6MHD58WAwcOFBUqVJFFCpUSJiamorChQuLZs2apZs5I6NFQG7evCk8PDyEu7u7etq46Oho8cUXX4hixYoJc3NzUbhwYeHl5SWmTp2a7vzVqlUTADQ+rzExMQKAcHBwSDe1XWYLkUyYMEG8+U95UlKSmDVrlvqzaWtrKzw8PES/fv3ExYsXhRByRpF27doJNzc3YWlpKRwcHISPj4/YsWOH+jirV68WjRo1Es7OzsLCwkIULVpUdOrUSZw8efKtuSUydioh3nFbOBER0XuIjo6Gh4cHJkyYwAUjiMjosDgmIqJsO3HiBDZs2AAvLy/Y2dnh/Pnz+OGHHxAfH49///03w5ksiIhyMo45JiKibMuXLx/++ecfLF++HA8fPoS9vT0aNmyI7777joUxERkl9hwTEREREb3ERUCIiIiIiF5icUxERERE9BKLYyIiIiKil3hDng6kpqbi1q1byJ8/f5aXiCUiIiIiwxFC4PHjxyhatKjGIkUZNTQqCxYsEO7u7sLS0lJUr15dHDhwINO2W7ZsEU2aNBGOjo4if/78om7duiIkJCRdu19//VV4enoKCwsL4enpKbZu3fpeMd24cUMA4IMPPvjggw8++OAjhz9u3Ljx1rrOqHqON23ahKFDh2LhwoWoX7++emnbM2fOoESJEunaHzhwAL6+vpg2bRoKFCiAlStXolWrVjhy5AiqVasGAIiIiEDnzp0xZcoUtGvXDr/99hs6deqEP//8M8tLmebPnx8AcOPGDdjZ2enugjORlJSE0NBQ+Pn5wdzcXO/ny42YQ+0wf9pjDrXD/GmPOdQO86c9Q+cwPj4erq6u6rotM0ZVHM+ePRu9evVC7969AQCBgYH4448/sGjRIkyfPj1d+8DAQI3n06ZNw/bt27Fz5051cRwYGAhfX1+MGTMGADBmzBiEh4cjMDAQGzZsyFJcaUMp7OzsDFYc29jYwM7Ojn8hs4k51A7zpz3mUDvMn/aYQ+0wf9pTKofvGgJrNMVxYmIijh49itGjR2vs9/Pzw19//ZWlY6SmpuLx48coVKiQel9ERASGDRum0a5p06bpCuvXJSQkICEhQf08Pj4egPxDTkpKylIs2kg7hyHOlVsxh9ph/rTHHGqH+dMec6gd5k97hs5hVs9jNMXx3bt3kZKSkm7FJWdnZ8TFxWXpGD/++COePn2KTp06qffFxcW99zGnT5+OSZMmpdsfGhoKGxubLMWiC2FhYQY7V27FHGqH+dMec6gd5k97zKF2mD/tGSqHz549y1I7oymO07zZFS6EyNIMERs2bMDEiROxfft2ODk5aXXMMWPGICAgQP08bQyLn5+fwYZVhIWFwdfXl1/lZBNzqB3mT3vMoXaYP+0xh9ph/rRn6BymfdP/LkZTHDs6OsLU1DRdj+7t27fT9fy+adOmTejVqxd++eUXNGnSROO1IkWKvPcxLS0tYWlpmW6/ubm5Qf+CGPp8uRFzqB3mT3vMoSSEQHJyMlJSUrLUPiUlBWZmZkhJSXn7lEyUKeZQO8yf9nSdQ1NTU5iZmWXawZnV37VGUxxbWFigRo0aCAsLQ7t27dT7w8LC0KZNm0zft2HDBnzxxRfYsGEDPv7443Sv16tXD2FhYRrjjkNDQ+Hl5aXbCyAiogwlJiYiNjY2y195ArKYLlKkCG7cuMH55bOJOdQO86c9feTQxsYGLi4usLCwyPYxjKY4BoCAgAD4+/ujZs2aqFevHn766Sdcv34d/fv3ByCHO8TExGDNmjUAZGHcrVs3BAUFoW7duuoeYmtra9jb2wMAhgwZggYNGmDGjBlo06YNtm/fjt27d+PPP/9U5iKJiPKQ1NRUREdHw9TUFEWLFoWFhUWW/pFMTU3FkydPYGtry167bGIOtcP8aU+XORRCIDExEXfu3EF0dDTKli2b7WMaVXHcuXNn3Lt3D5MnT0ZsbCwqVqyI4OBguLm5AQBiY2Nx/fp1dfslS5YgOTkZAwcOxMCBA9X7u3fvjlWrVgEAvLy8sHHjRowbNw7jx49H6dKlsWnTpizPcUxERNmXmJiI1NRUuLq6vtcNzampqUhMTISVlRULk2xiDrXD/GlP1zm0traGubk5rl27pj5udhhVcQwAAwYMwIABAzJ8La3gTbN///4sHbNjx47o2LGjlpEREVF2sbggIl3Qxe8S/jYiIiIiInqJxbGRSUkBwsNVOHCgGMLDVcjijd1ERERElAUsjo3I1q2Auzvg62uG2bNrwtfXDO7ucj8RUV6WkgLs3w9s2CB/suMgd1q1ahUKFCigdBjZNnHiRFStWlXv52nYsCGGDh2q9/PkViyOjcTWrUDHjsDNm5r7Y2LkfhbIRJRXpXUcNGoEdO0qf+qz40AIgSZNmqBp06bpXlu4cCHs7e01bg7XF20LxYSEBNSrVw/9+vVL99rIkSPh5uaW5UUTdGXfvn1o0aIFHBwcYGNjgwoVKmD48OGIiYkxaBz6MmLECOzZs0erY6SkpGD69Onw8PCAtbU1ChUqhLp162LlypU6ipJYHBuBlBRgyBBAiPSvpe0bOpQ9JUSU9yjRcaBSqbBy5UocOXIES5YsUe+Pjo7GqFGjEBQUhBIlSuj0nElJSTo9HiAXtFq0aBFWr16NkJAQ9f7Dhw9jzpw5WLVqlc5XfU1b7CUjS5YsQZMmTVCkSBFs2bIFZ86cweLFi/Ho0SP8+OOPOo1DKba2tnBwcNDqGBMnTkRgYCCmTJmCM2fOYN++fejTpw8ePHigoygJgrT26NEjAUA8evRIL8fft08IWQa//bFvn15OnyslJiaKbdu2icTERKVDMUrMn/aYQ+n58+fizJkz4vnz5+p9qalCPHny9kd8fIq4du2BKFo0NdPfiSqVEMWLC/Ho0buP9+SJPO/7WLVqlbC1tRVXrlwRqampolGjRqJNmzbi9OnTonnz5iJfvnzCyclJfP755+LOnTvq9/3++++ifv36wt7eXhQqVEh8/PHH4tKlS+rXo6OjBQCxadMm4ePjIywtLcWKFSs0zr1v3z4BQOMxYcIEIYQQ9+/fF/7+/qJAgQLC2tpaNGvWTFy4cCFd/CkpKeLBgwdiwoQJolixYuLBgwfi+fPnwsPDQwwZMkQIIcShQ4eEt7e3sLKyEsWLFxdfffWVePLkifoYP//8s6hRo4awtbUVzs7OokuXLuK///5LF2dISIioUaOGMDc3F3v37k0Xy40bN4SFhYUYOnRohrl+8OCBEEKIlStXCnt7exESEiI8PDxEvnz5RNOmTcWtW7fUbf/++2/RpEkT4eDgIOzs7ESDBg3E0aNHNY4HQCxdulS0bdtWWFtbizJlyojt27drtNm+fbsoU6aMsLKyEg0bNhSrVq0SANSxpKSkiJCQkLfm500TJkwQVapUUT/v3r27aNOmjZg5c6YoUqSIKFSokBgwYMBbfy9UqVJFTJw4MdPXhRDCx8dH/WcohPzM2dnZidWrVwshhLh586bo1KmTKFCggChUqJBo3bq1iI6OFkIIcfLkSaFSqdSf2fv37wuVSiU6duyoPt60adNE3bp1hRCv/ox3794tatSoIaytrUW9evXEuXPnNGLasWOHqF69urC0tBQlS5YUEydOFAkJCeLBgwciJSVFTJgwQbi6ugoLCwvh4uIivvrqK/V7FyxYIMqUKSMsLS2Fk5OT6NChQ6bXntHvlDRZrddYHOuAvovj9euzVhxPn/7+v9zzKhYm2mH+tMccShn9Q/bkSdZ+5+n68ZaaJlNt2rQRPj4+Yu7cuaJw4cLi6tWrwtHRUYwZM0acPXtWHDt2TPj6+opGjRqp3/Prr7+KLVu2iAsXLojjx4+LVq1aiUqVKomUlBQhxKvi2N3dXWzZskVcuXJFxMTEaJw3ISFBBAYGCjs7OxEbGytiY2PF48ePhRBCtG7dWnh6eooDBw6IqKgo0bRpU1GmTJl0n7W04jghIUHUrFlT+Pv7i+HDhwsPDw/x7NkzcfLkSWFrayvmzJkjLly4IA4dOiSqVasmevTooT7G8uXLRXBwsLh8+bKIiIgQdevWFc2bN1e/nlY4Va5cWYSGhopLly6Ju3fvpsvj7NmzBQCNIjcjK1euFObm5qJJkyYiMjJSHD16VHh6eoquXbuq2+zZs0f8/PPP4syZM+LMmTOiV69ewtnZWcTHx6vbABDFixcX69evFxcvXhSDBw8Wtra24t69e+o/A3NzczFixAhx7tw5sWHDBlGsWDGN4jgqKkrY2tqK2bNnZ5qfN2VUHNvZ2Yn+/fuLs2fPip07dwobGxvx008/ZXqMpk2bigYNGojbt29n2ub14njDhg0if/78Ytu2bUIIIZ4+fSrKli0rvvjiC3Hy5Elx5swZ0bVrV1G+fHmRkJAgUlNThaOjo/j111+FEEJs27ZNODo6CicnJ/Xx/fz8xKhRo4QQr/6M69SpI/bv3y9Onz4tvL29hZeXl7p9SEiIsLOzE6tWrRKXL18WoaGhwt3dXUyYMEE8ePBAbNq0SdjZ2Yng4GBx7do1ceTIEXUOIiMjhampqVi/fr24evWqOHbsmAgKCsr02lkc5xA5pecYEMLdXYghQ+R7kpL0Ek6uwMJEO8yf9phDydiL4//++08ULlxYmJiYiK1bt4rx48cLPz8/jTY3btwQAMT58+czPMbt27cFAHHq1CkhxKviODAw8K3nTutFfd2FCxcEAHHo0CH1vrt37wpra2uxefNmjbZpxXFKSoo4c+aMsLKyEhYWFuLvv/8WQgjh7+8v+vbtq/GegwcPChMTkwwLDyFkry0AdaGeVjilFWaZ+fLLL4Wdnd1b26RdMwCNnvYFCxYIZ2fnTN+TnJws8ufPL3bu3KneB0CMGzdO/fzJkydCpVKJ33//XQghxKhRo0TFihU1jjN27FiN4vjzzz8X3bt3V/+nRoh35yej4tjNzU0kJyer933yySeic+fOmV7P6dOnhaenpzAxMRGVKlUS/fr1E8HBwRpt0orjBQsWCHt7e43e+uXLl4vy5cuL1Nd60xISEoS1tbX4448/hBBCtG/fXgwaNEgIIcTQoUPF8OHDhaOjozh9+rRISkoStra26ly93nOc5n//+58AoM6Dt7e3mDZtmkaMP//8s3BxcREPHjwQs2bNEuXKlcvw9+GWLVuEnZ2dxn9u3kYXxTHHHBsBb2+geHHgbSuqWlsDVlbA1atAUJC8IcXZGejRA/jtN+DpU0NFS0SkHRsb4MmTtz/i41OxefOTLB0vOPjdx3vyRJ73fTk5OaFv377w9PREu3btcPToUezbtw+2trbqh4eHBwDg8uXL6p9du3ZFqVKlYGdnh5IlSwJAupv4atasqd7+4IMP1Mdr3rx5pvGcPXsWZmZmGqu8Ojg4oHz58jh79iwAoHnz5rC1tYWdnR3q1asHAPD09ESHDh3g6+uLWrVqAQCOHj2KVatWaVxL06ZN1Ut+A8Dx48fRpk0buLm5IX/+/GjYsOE7ryUjQogsLRsOADY2NihdurT6uYuLC27fvq1+fvv2bfTv3x/lypWDvb097O3t8eTJk3QxVa5cWb2dL18+5M+fX32c8+fPq/OQpnbt2hrPjx07hg0bNsDOzi7T/GTFBx98AFNT00yv500VKlTAv//+i8OHD6Nnz57477//0KpVK/Tu3Vuj3ZYtWzB06FCEhoaiUaNG6v1Hjx7FpUuXkD9/fnXchQoVwosXL9Sf0YYNG6oXUgsPD0ejRo3QoEEDhIeHIzIyEs+fP0f9+vU1zvd6Pl1cXABAfR1Hjx7F5MmTNT5Lffr0QWxsLJ49e4aOHTvi+fPnKFWqFPr06YPffvtNPTbd19cXbm5uKFWqFPz9/bFu3To8e/Ysy/nNDqNbIS8vMjWVBW/HjrJAfv3GvLTfJWvXAs2aAWFhwLZtwM6dwL17wOrV8mFlBfj5AW3bAi1bAoULK3ElRETvplIB+fK9vU1qKvDRR8koXlwgJkaV4Q3LKpXsWPDzk79H9cXMzAxmZmYv40pFq1atMGPGjHTt0gqGVq1awdXVFUuXLkXRokWRmpqKihUrIjExUaN9vteSEBwcrL4pz9raOtNYREaJgGbxuWzZMjx//hypqal48eJFhteRdi39+vXD4MGD0x2vRIkSePr0Kfz8/ODn54e1a9eicOHCuH79Opo2bfrWa8lIuXLl8OjRI8TGxqrzlBlzc3ON5yqVSuO6e/TogTt37iAwMBBubm6wtLREvXr10sWU0XFSU1MBZFysv5nb1NRU9OjRA8OHD0+3Ktv73JD5tjgyY2Jiglq1aqFWrVoYNmwY1q5dC39/f4wdO1b9n62qVavi2LFjWLlyJWrVqqW+ntTUVNSoUQPr1q1Ld9zCL4uDhg0bYsiQIbh06RL+/fdfeHt74/LlywgPD8fDhw9Ro0YN5M+fP9PreP1caT8nTZqE9u3ba7wnNTUVVlZWKFKkCM6fP4+wsDDs3r0bAwYMwMyZMxEeHo78+fPj2LFj2L9/P0JDQ/Htt99i4sSJiIyM1Nu0fiyOjUT79sCvv8pZK16/K7t4cSAwUL4OAG3ayEdyMnDoELB9uyyWo6OBHTvkw8QEqF9fFspt2gCv/QeciMhomJoCc+YIdOqkyrTjIDBQv4Xxm6pXr44tW7bA3d1do9BMc+/ePZw9exZLliyBt7c3AODPP/9853Hd3NzS7bOwsEDKG9MUVahQAcnJyThy5Ai8vLzU57xw4QI8PT0BAMWKFQMgC5O3TdVWvXp1nD59GmXKlMnw9VOnTuHu3bv4/vvv4erqCgD4559/3nktGenYsSNGjx6NH374AXPmzEn3+sOHD7NcCB08eBALFy5EixYtAAA3btzA3bt33yseDw8PBAcHa+x789qqVauGc+fOoUyZMoovf16hQgUAwNPXviYuXbo0fvzxRzRs2BCmpqaYP38+APnnumnTJjg5OWU6G0nFihXh4OCAqVOnokqVKrCzs4OPjw+mT5+OBw8ewMfH573iq169Os6fP5/us/T6Z9Da2hqtW7dG69atMXDgQHh4eODUqVOoXr06zMzM0KRJEzRp0gQTJkxAgQIFsHfv3nTFtq5wWIURad9eDpsIC0tGQMA/CAtLRnT0q8L4dWZmgI8PMHs2cPkycOIEMHkyUL267HE5eBAYPhwoUwaoVAkYPx44ehQZ9r4QEeVUaR0HL+s9teLF5X49/duZqYEDB+L+/fvo0qUL/v77b1y5cgWhoaH44osvkJKSgoIFC8LBwQE//fQTLl26hL179yIgICBb53J3d8eTJ0+wZ88e3L17F8+ePUPZsmXRpk0b9OnTB3/++SdOnDiBzz//HMWKFUObNm3e6/ijRo1CREQEBg4ciKioKFy8eBE7duzAV199BUD2jlpYWGDevHm4cuUKduzYgSlTpmTrWlxdXTFnzhwEBQWhV69eCA8Px7Vr13Do0CH069fvvY5bpkwZ/Pzzzzh79iyOHDmCzz777K297Rnp168fzp07h1GjRuHChQvYvHkzVq1aBeBVr+jIkSMRGRmJQYMGZZgffenYsSPmzJmDI0eO4Nq1a9i/fz8GDhyIcuXKqYfwpClXrhz27dunHmIBAJ999hkcHR3Rpk0bHDx4ENHR0QgPD8eQIUNw82Xvm0qlQoMGDbB27Vr1UJnKlSsjMTERe/bsUe/Lqm+//RZr1qzBxIkTcfr0aZw9exabNm3C+PHjAcg5u5cvX45///0XV65cwc8//wxra2u4ublh165dmDt3LqKionDt2jWsWbMGqampKF++vFZ5fBsWx0bG1BTw8RFo0CAGPj4iSz0iKhVQufKrAvjaNWDuXKBxY3m8f/8Fpk4FatYESpQABg0Cdu8G9DCtJhGRzqV1HOzbB6xfL39m1nGgb0WLFsWhQ4eQkpKCpk2bomLFihgyZAjs7e1hYmICExMTbNy4EUePHkXFihUxbNgwzJw5M1vn8vLyQv/+/dG5c2cULlwYP/zwAwBg5cqVqFGjBlq2bIl69epBCIHg4OB0X9+/S+XKlREeHo6LFy/C29sb1apVw/jx49XDHgoXLoxVq1bhl19+QYUKFfD9999j1qxZ2boWABgwYABCQ0MRExODdu3awcPDA71794adnR1GjBiR5eOsWLECDx48QLVq1eDv74/BgwfDycnpvWIpWbIkfv31V2zduhWVK1fGokWLMHbsWAByfmhA5mfXrl2Z5kdfmjZtip07d6JVq1YoV64cunfvDg8PD4SGhmb4bUX58uWxd+9ebNiwAcOHD4eNjQ0OHDiAEiVKoH379vD09MQXX3yB58+fa/QkN2rUCCkpKepCWKVSqb/t+PDDD9875l27diEsLAy1atVC3bp1MXv2bPXwkwIFCmDp0qWoX78+KleujD179mDnzp1wcHBAgQIFsHXrVnz00Ufw9PTE4sWLsWHDBnzwwQfZzOC7qURmA5Qoy+Lj42Fvb49Hjx7pfML0jCQlJSE4OBgtWrR47192b7p/X96ssm0bEBKieeOevT3w8cdy+EWzZsAbw4uMmi5zmBcxf9pjDqUXL14gOjoaJUuWhJWVVZbfl/Z1rJ2dneJfaRsr5vD9fPfdd1i8eDFu3LgBgPnTBX3k8G2/U7Jar/FPM48rVAj4/HP59ePdu8CuXUDv3oCTE/DokeyF6dQJcHQEWrQAfvoJiItTOmoiIiL9WrhwISIjI9Vf88+cORPdu3dXOiwyABbHpGZlJXuKly4Fbt2SN/R9/TVQtiyQmAj8/jvQrx9QtCjg5QXMmAGcP6901ERERLp38eJFtGnTBhUqVMCUKVMwfPhwTJw4UemwyAA4WwVlyNRUFsBpRfC5c3LoxbZtwN9/AxER8jF6NODh8Wrmi9q15WwYRERExmzOnDkZzpxBuR/LGHonlQrw9ATGjAGOHAFiYoBFi4CmTQFzc1k4f/89UK+evGO8f3/Zy5yQoHTkRERERO+HxTG9t6JFZQEcEgLcuQNs3Ah8+qm8YS8uDliyRI5PLlwY6NwZ2LABePhQ6aiJKCfjveFEpAu6+F3C4pi0Ym//qgC+c0cWzP37Ay4uwOPHwObNQNeuslD28wMWLtRcxISI8ra0mTr0vRwsEeUNab9LtJkFiGOOSWcsLeVQi6ZNgQULgH/+eTVO+exZubR1WBgwcKCcU7ltW/moUOHValZElLeYmpqiQIECuH37NgDAxsYm3bK9GUlNTUViYiJevHjBabSyiTnUDvOnPV3mUAiBZ8+e4fbt2yhQoABMtVgak8Ux6YWJibw5r3ZtYNo04MKFV0tZR0TIwvmff4Bx4+Ty1WmFcr16hl3qlYiUV6RIEQBQF8hZIYTA8+fPYW1tnaVimtJjDrXD/GlPHzksUKCA+ndKdrE4JoMoV05OC/f118B//wE7d8pCefduubz1jz/KR+HCQKtWslBu0gR4zxU/icgIqVQquLi4wMnJCUlZXJozKSkJBw4cQIMGDfL0IiraYA61w/xpT9c5NDc316rHOA2LYzI4Z2e50Ejv3sCTJ8Aff8hCedcuOW55xQr5sLGRK/O1aSPnX3ZwUDpyItInU1PTLP/DZmpqiuTkZFhZWbEwySbmUDvMn/Zyag45SIYUZWsLdOgA/PwzcPu27En+6ivA1RV49gzYuhXo3l0W1B99BAQFAVevKh01ERER5VYsjinHMDcHGjcG5s4Frl0Djh4Fxo8HKlcGUlKAffuAoUOBkiWBatWASZOAqCiAM0ARERGRrrA4phxJpQKqVwcmTwZOnJDjkmfPBnx85M1+UVHAxImySC5ZUhbN+/cDycnvPnZKChAersKBA8UQHq5CSop+r4WIiIiMB4tjMgqlSgHDhskC+L//gJUr5Vhka2vZyxwUBDRqJIdfdO8O/PYb8PRp+uNs3Qq4uwO+vmaYPbsmfH3N4O4u9xMRERGxOCaj4+gI9Oghb+K7e1f+7NFD3rB3/z6wZg3Qvr1s17q1vLnvzh1ZAHfsmH4RkpgYuZ8FMhEREXG2CjJqNjayB7lNGzmk4q+/Xi08Eh0tp4zbuVMO0zA3z3h8shDy9aFD5XE4zzIREVHexZ5jyjXMzIAGDeTY5MuXgZMn5Zjl6tVlAZyYmPl7hQBu3AAOHjRcvERERJTzsDimXEmlAipVkrNdHD0qZ8DIithY/cZFREREORuLY8oTKlXKWjsXF/3GQURERDkbi2PKE7y9geLFZY/y22zfDjx8aJCQiIiIKAdicUx5gqmpnO4NSF8gv/48MBAoWxZYuDBrcyYTERFR7sLimPKM9u2BX38FihXT3F+8OLBlC/D774Cnp5webuBAoEoV4I8/lImViIiIlMHimPKU9u2Bq1eBsLBkBAT8g7CwZERHy/3NmskZLubPl3Mmnzkj9338MXD2rNKRExERkSGwOKY8x9QU8PERaNAgBj4+QmNeYzMz2Wt88SIQECCfBwfLG/oGDwbu3VMubiIiItI/FsdEGShYEPjxR9l73KYNkJICzJsnxyMHBr59zmQiIiIyXiyOid6ibFm52t6ePUDlysCDB8CwYbIneefOjFfcIyIiIuPF4pgoCz76CDh2DPjpJ8DJCbhwAWjdGvDzA06dUjo6IiIi0hUWx0RZZGoK9OkjxyOPGgVYWAC7dwNVqwL9+wO3bysdIREREWmLxTHRe7KzA77/Xs5g0bEjkJoKLFkih2DMnAkkJCgdIREREWUXi2OibCpVCvjlF+DAAaBGDSA+Hhg5EqhQQc6bzPHIRERExofFMZGWvL2Bv/8GVq0CXFyAK1dkj3LDhnKcMhERERkPFsdEOmBiAnTvLm/UGz8esLKSPco1awJffAHExiodIREREWUFi2MiHbK1BSZPBs6fB7p2lUMrVq6U45G/+w54/lzpCImIiOhtWBwT6UGJEsC6dUBEBFC3LvD0KTBuHODhAWzcyPHIREREORWLYyI9qlsX+OsvYP16wNUVuH4d6NIFqF8fOHJE6eiIiIjoTSyOifRMpZIF8fnzwJQpQL58r3qUP/8cuHFD6QiJiIgoDYtjIgOxtpZDKy5cAHr0kEXzunVA+fLAhAly6AUREREpi8UxkYEVLSpv0ouMlNPAPX8ub+IrVw5YvVouKkJERETKYHFMpJAaNYDwcODXX4GSJYFbt2SPcp06wJ9/Kh0dERFR3sTimEhBKhXQoQNw5gwwYwaQPz/wzz+yR7lTJyA6WukIiYiI8hYWx0Q5gJWVXHr64kWgb1+5qMgvvwCensCYMXJpaiIiItI/FsdEOYizM7BkCXD8ONC4MZCQAHz/vVxEZNkyICVF6QiJiIhyNxbHRDlQ5cpAWBiwY4csjG/fBvr0keOU9+5VOjoiIqLci8UxUQ6lUgGtWgH//gvMmQMUKACcOCF7lNu2lUMwiIiISLdYHBPlcBYWwNChwKVLwKBBgKkpsH078MEHwPDhwMOHSkdIRESUe7A4JjISDg7AvHnAqVNA8+ZAUhIwezZQpgywcCGQnKx0hERERMaPxTGRkfH0BIKDgd9/BypUAO7dAwYOBKpUAf74Q+noiIiIjBuLYyIj1ayZHIO8YIHsVT5zRu5r0QI4e1bp6IiIiIwTi2MiI2ZmBgwYIG/OCwgAzM1lj3KlSsBXX8leZSIiIso6oyuOFy5ciJIlS8LKygo1atTAwYMHM20bGxuLrl27onz58jAxMcHQoUPTtVm1ahVUKlW6x4sXL/R4FUS6VbAg8OOPwOnTQJs2cj7k+fPleOTAQCAxUekIiYiIjINRFcebNm3C0KFDMXbsWBw/fhze3t5o3rw5rl+/nmH7hIQEFC5cGGPHjkWVKlUyPa6dnR1iY2M1HlZWVvq6DCK9KVsW2LYN2LNHzpX88CEwbBhQsSKwcycghNIREhER5WxGVRzPnj0bvXr1Qu/eveHp6YnAwEC4urpi0aJFGbZ3d3dHUFAQunXrBnt7+0yPq1KpUKRIEY0HkTH76CPg2DFg6VLAyUkOu2jdGvD1BU6eVDo6IiKinMtM6QCyKjExEUePHsXo0aM19vv5+eGvv/7S6thPnjyBm5sbUlJSULVqVUyZMgXVqlXLtH1CQgISEhLUz+Pj4wEASUlJSEpK0iqWrEg7hyHOlVvllRx27w60awfMmGGCoCAT7NmjQrVqAl98kYqJE1Ph5JS94+aV/OkTc6gd5k97zKF2mD/tGTqHWT2PSgjj+KL11q1bKFasGA4dOgQvLy/1/mnTpmH16tU4f/78W9/fsGFDVK1aFYGBgRr7Dx8+jEuXLqFSpUqIj49HUFAQgoODceLECZQtWzbDY02cOBGTJk1Kt3/9+vWwsbF5/4sjMoD//rPB6tUV8NdfxQAA1tZJ+OSTC2jV6grMzVMVjo6IiEi/nj17hq5du+LRo0ews7PLtJ3R9BynUalUGs+FEOn2vY+6deuibt266uf169dH9erVMW/ePMydOzfD94wZMwYBAQHq5/Hx8XB1dYWfn99bk60rSUlJCAsLg6+vL8zNzfV+vtwor+awZ0/gzz+TMWKECY4dM8eaNR/gzz8rYNq0FLRrJ5DVv0p5NX+6xBxqh/nTHnOoHeZPe4bOYdo3/e9iNMWxo6MjTE1NERcXp7H/9u3bcHZ21tl5TExMUKtWLVy8eDHTNpaWlrC0tEy339zc3KB/QQx9vtwoL+awUSMgMhL4+Wfgm2+AK1dU+PRTMzRoIFfcq1Ej68fKi/nTNeZQO8yf9phD7TB/2jNUDrN6DqO5Ic/CwgI1atRAWFiYxv6wsDCNYRbaEkIgKioKLi4uOjsmUU5jYiLHI1+4AHz7LWBtDRw4ANSqJXuXb91SOkIiIiJlGE1xDAABAQFYtmwZVqxYgbNnz2LYsGG4fv06+vfvD0AOd+jWrZvGe6KiohAVFYUnT57gzp07iIqKwpkzZ9SvT5o0CX/88QeuXLmCqKgo9OrVC1FRUepjEuVm+fIBkyYB588Dn30mp3pbtQooVw6YOhV4/lzpCImIiAzLaIZVAEDnzp1x7949TJ48GbGxsahYsSKCg4Ph5uYGQC768eacx6/POnH06FGsX78ebm5uuHr1KgDg4cOH6Nu3L+Li4mBvb49q1arhwIEDqF27tsGui0hprq7A2rVyVb2hQ4HDh4Hx44GffgJmzAA+/RTq8cgpKUB4uAoHDhRDvnwqNGoEmJoqGj4REZHOGFVxDAADBgzAgAEDMnxt1apV6fa9azKOOXPmYM6cOboIjcjo1akD/PUXsGkTMHIkcOMG0LUrMHcuMGeOHG4xZAhw86YZgJqYPRsoXhwICgLat1c6eiIiIu0Z1bAKItI/lUr2FJ8/D0yZIodeHD4M1KsHdOgA3Lyp2T4mBujYEdi6VZl4iYiIdInFMRFlyNoaGDdO3rTXvXvm7dK+nBk6VA65ICIiMmYsjonorYoWBXr0eHsbIeQQjIMHDRISERGR3rA4JqJ3io3VbTsiIqKcisUxEb1TVqf95vTgRERk7FgcE9E7eXvLWSkyW15apZLTwXl7GzYuIiIiXWNxTETvZGoqp2sDMi+QAwM53zERERk/FsdElCXt2wO//goUK5b+tW7dOM8xERHlDiyOiSjL2rcHrl4FwsKSERDwD4YPl3O3hYRwqWkiIsodWBwT0XsxNQV8fAQaNIjB5MmpcHMD/vsPWLZM6ciIiIi0x+KYiLLN3BwYPVpuz5gBJCQoGw8REZG2WBwTkVZ69JALhcTEAKtXKx0NERGRdlgcE5FWrKyAkSPl9vTpQFKSsvEQERFpg8UxEWmtTx/AyUnerLdundLREBERZR+LYyLSmo0NMGKE3J42DUhJUTYeIiKi7GJxTEQ60b8/UKgQcPEisHmz0tEQERFlD4tjItKJ/PmBYcPk9nffAampysZDRESUHSyOiUhnvvoKsLcHTp8GfvtN6WiIiIjeH4tjItIZe3tg8GC5PXUqIISy8RAREb0vFsdEpFNDhgC2tkBUFPC//ykdDRER0fthcUxEOuXgAAwYILenTGHvMRERGRcWx0Skc8OHA9bWwN9/A2FhSkdDRESUdSyOiUjnnJyAfv3k9tSpysZCRET0PlgcE5FejBgBWFgABw8C4eFKR0NERJQ1LI6JSC+KFQN69ZLbU6YoGwsREVFWsTgmIr0ZNQowMwP27AEiIpSOhoiI6N1YHBOR3ri5Ad27y22OPSYiImPA4piI9Gr0aMDEBAgOBo4eVToaIiKit2NxTER6VaYM0LWr3GbvMRER5XQsjolI7775BlCpgG3bgFOnlI6GiIgocyyOiUjvPD2Bjh3l9nffKRsLERHR27A4JiKDGDdO/ty8GTh3TtlYiIiIMsPimIgMonJloE0bQAhg2jSloyEiIsoYi2MiMpi03uP164HLl5WNhYiIKCMsjonIYGrWBJo1A1JSgO+/VzoaIiKi9FgcE5FBjR8vf65eDVy/rmwsREREb2JxTEQG5eUFfPQRkJQEzJihdDRERESaWBwTkcGl9R4vXw7cuqVsLERERK9jcUxEBufjA9SvDyQkALNmKR0NERHRKyyOicjgVKpXvceLFwO3bysbDxERURoWx0SkCD8/oFYt4PlzYPZspaMhIiKSWBwTkSJe7z1esAC4f1/ZeIiIiAAWx0SkoJYtgSpVgCdPgKAgpaMhIiJicUxEClKpXq2aFxQEPHqkbDxEREQsjolIUe3bA56esjBesEDpaIiIKK9jcUxEijIxAcaOlduzZ8shFkREREphcUxEiuvcGShTBrh3T07tRkREpBQWx0SkODMz4Jtv5PasWXJ6NyIiIiWwOCaiHOHzzwE3N+C//4Bly5SOhoiI8ioWx0SUI5ibA6NHy+0ZM+TS0kRERIbG4piIcoyePYFixYCYGGDVKqWjISKivIjFMRHlGJaWwMiRcvv774GkJGXjISKivIfFMRHlKH36AE5OwNWrwLp1SkdDRER5DYtjIspRrK2BESPk9rRpQEqKsvEQEVHewuKYiHKcL78EHByAixeBTZuUjoaIiPISFsdElOPY2gLDhsnt774DUlOVjYeIiPIOFsdElCMNGgTY2wNnzgC//aZ0NERElFewOCaiHMneHhg8WG5PnQoIoWw8RESUN7A4JqIca+hQOcQiKgrYtUvpaIiIKC9gcUxEOVahQsDAgXKbvcdERGQILI6JKEcLCJDTu/39NxAWpnQ0RESU27E4JqIczckJ6NdPbk+Zwt5jIiLSL6MrjhcuXIiSJUvCysoKNWrUwMGDBzNtGxsbi65du6J8+fIwMTHB0KFDM2y3ZcsWVKhQAZaWlqhQoQJ+463xRDnK11/LpaX//BMID1c6GiIiys2MqjjetGkThg4dirFjx+L48ePw9vZG8+bNcf369QzbJyQkoHDhwhg7diyqVKmSYZuIiAh07twZ/v7+OHHiBPz9/dGpUyccOXJEn5dCRO+haFGgVy+5PXWqsrEQEVHuZlTF8ezZs9GrVy/07t0bnp6eCAwMhKurKxYtWpRhe3d3dwQFBaFbt26wt7fPsE1gYCB8fX0xZswYeHh4YMyYMWjcuDECAwP1eCVE9L5GjgTMzIA9e4CICKWjISKi3MpM6QCyKjExEUePHsXo0aM19vv5+eGvv/7K9nEjIiIwLG0prpeaNm361uI4ISEBCQkJ6ufx8fEAgKSkJCQlJWU7lqxKO4chzpVbMYfaUSJ/RYsC/v6mWLnSBJMnp2LHjhSDnVsf+BnUDvOnPeZQO8yf9gydw6yex2iK47t37yIlJQXOzs4a+52dnREXF5ft48bFxb33MadPn45Jkyal2x8aGgobG5tsx/K+wnjrvtaYQ+0YOn+1a9tg9erGCAkxwdy5B1GmzEODnl8f+BnUDvOnPeZQO8yf9gyVw2fPnmWpndEUx2lUKpXGcyFEun36PuaYMWMQEBCgfh4fHw9XV1f4+fnBzs5Oq1iyIikpCWFhYfD19YW5ubnez5cbMYfaUTJ/f/4JrFsHHDjgjcGDjbf3mJ9B7TB/2mMOtcP8ac/QOUz7pv9djKY4dnR0hKmpaboe3du3b6fr+X0fRYoUee9jWlpawtLSMt1+c3Nzg/4FMfT5ciPmUDtK5G/cOGD9emDHDhOcPWuCypUNenqd42dQO8yf9phD7TB/2jNUDrN6DqO5Ic/CwgI1atRI1/UeFhYGLy+vbB+3Xr166Y4ZGhqq1TGJSH88PIBPPpHb332nbCxERJT7GE1xDAABAQFYtmwZVqxYgbNnz2LYsGG4fv06+vfvD0AOd+jWrZvGe6KiohAVFYUnT57gzp07iIqKwpkzZ9SvDxkyBKGhoZgxYwbOnTuHGTNmYPfu3ZnOiUxEyhs3Tv785Rfg7FllYyEiotzFaIZVAEDnzp1x7949TJ48GbGxsahYsSKCg4Ph5uYGQC768eacx9WqVVNvHz16FOvXr4ebmxuuXr0KAPDy8sLGjRsxbtw4jB8/HqVLl8amTZtQp04dg10XEb2fSpWAtm2BbduA6dOBNWuUjoiIiHILoyqOAWDAgAEYMGBAhq+tWrUq3T6RhbVmO3bsiI4dO2obGhEZ0Lhxsjhevx6YMAEoXVrpiIiIKDcwqmEVRERpatQAmjcHUlJk7zEREZEusDgmIqM1frz8uXo1kMkq8kRERO+FxTERGa169YDGjYHkZGDGDKWjISKi3EBnxfHDhw91dSgioixLm7li+XLg1i1lYyEiIuOXreJ4xowZ2LRpk/p5p06d4ODggGLFiuHEiRM6C46I6F18fIAPPwQSEoCZM5WOhoiIjF22iuMlS5bA1dUVgFyEIywsDL///juaN2+Or7/+WqcBEhG9jUr1auzxkiXA7dvKxkNERMYtW8VxbGysujjetWsXOnXqBD8/P4wcORKRkZE6DZCI6F18fYFatYDnz4HZs5WOhoiIjFm2iuOCBQvixo0bAICQkBA0adIEgJxTOCUlRXfRERFlweu9xwsWAPfuKRsPEREZr2wVx+3bt0fXrl3h6+uLe/fuoXnz5gDkUs1lypTRaYBERFnRsiVQtSrw5AkQFKR0NEREZKyyVRzPmTMHgwYNQoUKFRAWFgZbW1sAcrhFZqvXERHpk0r1auaKuXOBR4+UjYeIiIxTtpaPNjc3x4gRI9LtHzp0qLbxEBFlW7t2QIUKwJkzwPz5wNixSkdERETGJls9x6tXr8b//vc/9fORI0eiQIEC8PLywrVr13QWHBHR+zAxeVUQz5kjh1gQERG9j2wVx9OmTYO1tTUAICIiAvPnz8cPP/wAR0dHDBs2TKcBEhG9j86dgbJl5U15ixYpHQ0RERmbbBXHN27cUN94t23bNnTs2BF9+/bF9OnTcfDgQZ0GSET0PkxNgW++kduzZsnp3YiIiLIqW8Wxra0t7r2cKyk0NFQ9lZuVlRWe818iIlLYZ58B7u5yQZClS5WOhoiIjEm2imNfX1/07t0bvXv3xoULF/Dxxx8DAE6fPg13d3ddxkdE9N7MzYHRo+X2Dz/IpaWJiIiyIlvF8YIFC1CvXj3cuXMHW7ZsgYODAwDg6NGj6NKli04DJCLKjh49gOLFgZgYYOVKpaMhIiJjka2p3AoUKID58+en2z9p0iStAyIi0gVLS2DkSGDwYOD774FevWSPMhER0dtkq+cYAA4ePIjPP/8cXl5eiImJAQD8/PPP+PPPP3UWHBGRNnr3BpydgWvXgLVrlY6GiIiMQbaK4y1btqBp06awtrbGsWPHkPByQN/jx48xbdo0nQZIRJRd1tZA2npF06YBycnKxkNERDlftorjqVOnYvHixVi6dCnMX/ue0svLC8eOHdNZcERE2urfH3BwAC5dAjZvVjoaIiLK6bJVHJ8/fx4NGjRIt9/Ozg4PHz7UNiYiIp2xtQUCAuT2d98BqanKxkNERDlbtopjFxcXXLp0Kd3+P//8E6VKldI6KCIiXRo4EChQADhzBti6VeloiIgoJ8tWcdyvXz8MGTIER44cgUqlwq1bt7Bu3TqMGDECAwYM0HWMRERasbeXs1YAwNSpgBDKxkNERDlXtqZyGzlyJB49eoRGjRrhxYsXaNCgASwtLTFixAgMGjRI1zESEWltyBBg9mzgxAlg1y6gVSulIyIiopwo21O5fffdd7h79y7+/vtvHD58GHfu3MGUKVN0GRsRkc4UKiSHVwDAlCnsPSYiooxluzgGABsbG9SsWRO1a9eGra2trmIiItKLgAA5vVtkJBAaqnQ0RESUE2WrOH769CnGjx8PLy8vlClTBqVKldJ4EBHlRE5Ocmo3gL3HRESUsWyNOe7duzfCw8Ph7+8PFxcXqFQqXcdFRKQXI0YACxcChw4B4eFAw4ZKR0RERDlJtorj33//Hf/73/9Qv359XcdDRKRXRYsCvXrJAnnKFBbHRESkKVvDKgoWLIhChQrpOhYiIoMYNQowNwf27gX++kvpaIiIKCfJVnE8ZcoUfPvtt3j27Jmu4yEi0rsSJYDu3eU2J9khIqLXZWtYxY8//ojLly/D2dkZ7u7uMDc313j92LFjOgmOiEhfxowBVq4EQkKAf/4BatZUOiIiIsoJslUct23bVsdhEBEZVqlSQNeuwM8/y1Xztm1TOiIiIsoJslUcT5gwQddxEBEZ3DffAGvXAtu3AydPApUrKx0REREpLVtjjseOHYuwsDCOOSYio+bhAXTqJLe/+07ZWIiIKGfIVnF89OhRdOjQAQULFkS9evUwZswYhISE4MmTJ7qOj4hIr8aOlT9/+QU4e1bZWIiISHnZKo5DQkLw4MED7N+/H23atMHx48fRuXNnFCpUCHXr1tV1jEREelOpEtC2rVwtb9o0paMhIiKlZas4BgBTU1PUq1cP7dq1Q7t27eDn5wchBC5fvqzL+IiI9G7cOPlz/Xrg0iVlYyEiImVlqzhetGgRPv30U7i4uMDb2xuhoaHw9vbG0aNHcefOHV3HSESkVzVqAC1aAKmpwPffKx0NEREpKVuzVQwcOBCFCxfG8OHD0b9/f9jZ2ek6LiIigxo3DggOBlavBsaPB9zclI6IiIiUkK2e461bt+Kzzz7Dxo0b4eTkhDp16mDUqFH4/fffeVMeERmlevWAxo2B5GRgxgyloyEiIqVkqzhu27YtZs+ejWPHjuG///7D+PHj8d9//6FNmzZwcHDQdYxERAYxfrz8uXw5EBOjbCxERKSMbA2rAID79+8jPDwc+/fvx/79+/Hvv//CwcEBPj4+uoyPiMhgfHwAb2/g4EFg1ixgzhylIyIiIkPLVs9x5cqV4eTkhH79+iEmJgZ9+vTBiRMncPv2bfzyyy+6jpGIyGDSZq5YsgS4fVvZWIiIyPCy1XPct29fNGzYEBUrVtR1PEREivL1BWrXBv7+G/jxR44/JiLKa7LVczxo0CBUrFgRiYmJOH/+PJKTk3UdFxGRIlSqV2OPFywA7t1TNh4iIjKsbBXHz58/R69evWBjY4MPPvgA169fBwAMHjwY33OSUCIych9/DFStCjx9CgQFKR0NEREZUraK49GjR+PEiRPYv38/rKys1PubNGmCTZs26Sw4IiIlqFSvxh7PnQs8eqRsPEREZDjZKo63bduG+fPn48MPP4RKpVLvr1ChApePJqJcoV074IMPZGE8b57S0RARkaFkqzi+c+cOnJyc0u1/+vSpRrFMRGSsTEyAsWPl9pw5ANc3IiLKG7JVHNeqVQv/+9//1M/TCuKlS5eiXr16uomMiEhhnToBZcsC9+8DixYpHQ0RERlCtqZymz59Opo1a4YzZ84gOTkZQUFBOH36NCIiIhAeHq7rGImIFGFqCnzzDdCzp1wUZOBAwMZG6aiIiEifstVz7OXlhUOHDuHZs2coXbo0QkND4ezsjIiICNSoUUPXMRIRKeazzwB3d7kgyNKlSkdDRET6lq2e45MnT6Jy5cpYvXp1ute2bduGtm3bahsXEVGOYG4OjBkD9OsH/PAD0L8/YGmpdFRERKQv2eo5btq0Ka5cuZJu/5YtW/DZZ59pHRQRUU7SvTtQvDhw6xawcqXS0RARkT5lqzj+8ssv0bhxY8TGxqr3bdq0Cd26dcOqVat0FRsRUY5gaQmMHCm3v/8eSEpSNh4iItKfbBXH3377LVq3bo0mTZrg/v37WL9+PXr27Ik1a9bgk08+0XWMRESK690bcHYGrl0Dfv5Z6WiIiEhfslUcA0BQUBCqV6+OunXrok+fPtiwYQM6dOigy9iIiHIMa2vg66/l9vTpQHKysvEQEZF+ZPmGvB07dqTb17ZtW4SHh6NLly5QqVTqNq1bt9ZdhEREOUS/frIwvnQJ2LRJzmRBRES5S5aL47fNQLFixQqsWLECgFwQJCUlRevAiIhyGltbICBArpz33XdAly5yJT0iIso9svxrPTU1NUsPFsZElJsNGgQUKACcPQts2aJ0NHlTSgoQHq7CgQPFEB6uAv/ZISJdeq8+jyNHjuD333/X2LdmzRqULFkSTk5O6Nu3LxISEnQaIBFRTmJnBwwZIrenTgWEUDaevGbrVrkoi6+vGWbPrglfXzO4u8v9RES68F7F8YQJE3Dy5En181OnTqFXr15o0qQJRo8ejZ07d2L69Ok6D/J1CxcuRMmSJWFlZYUaNWrg4MGDb20fHh6OGjVqwMrKCqVKlcLixYs1Xl+1ahVUKlW6x4sXL/R5GURkxAYPlkMsTp4Edu5UOpq8Y+tWoGNH4OZNzf0xMXI/C2Qi0oX3Ko5PnDiBxo0bq59v3LgRderUwdKlSxEQEIC5c+di8+bNOg8yzaZNmzB06FCMHTsWx48fh7e3N5o3b47r169n2D46OhotWrSAt7c3jh8/jm+++QaDBw/Glje+C7Wzs0NsbKzGw8rKSm/XQUTGrVAhObwCAKZMYe+xIaSkyB77jHKdtm/oUHCIBRFp7b2K4wcPHsDZ2Vn9PDw8HM2aNVM/r1WrFm7cuKG76N4we/Zs9OrVC71794anpycCAwPh6uqKRYsWZdh+8eLFKFGiBAIDA+Hp6YnevXvjiy++wKxZszTaqVQqFClSRONBRPQ2AQGAjQ3wzz9AaKjS0eR+Bw+m7zF+nRDAjRuyHRGRNrI8WwUAODs7Izo6Gq6urkhMTMSxY8cwadIk9euPHz+Gubm5zoMEgMTERBw9ehSjR4/W2O/n54e//vorw/dERETAz89PY1/Tpk2xfPlyJCUlqWN98uQJ3NzckJKSgqpVq2LKlCmoVq1aprEkJCRojK2Oj48HACQlJSHJAEtnpZ3DEOfKrZhD7TB/8qa8vn1NEBhoismTU9GoUQpUqqy/nzl8P5GRKmTln6w//0yGl5d4rz+LvIqfQe0wf9ozdA6zep73Ko6bNWuG0aNHY8aMGdi2bRtsbGzg7e2tfv3kyZMoXbr0+0WaRXfv3kVKSopGzzUgC/a4uLgM3xMXF5dh++TkZNy9excuLi7w8PDAqlWrUKlSJcTHxyMoKAj169fHiRMnULZs2QyPO336dI3/FKQJDQ2FjY1NNq/w/YWFhRnsXLkVc6idvJ6/ypUtYW7ui7/+MsUPP0SgUqW7732MvJ7Dt3n40AJ//lkM4eGuuHixYJbeM368GYKCnqF27TjUqhWHihXvwdw8Vc+RGjd+BrXD/GnPUDl89uxZltq9V3E8depUtG/fHj4+PrC1tcXq1athYWGhfn3FihXpemp1TfVGd4AQIt2+d7V/fX/dunVRt25d9ev169dH9erVMW/ePMydOzfDY44ZMwYBAQHq5/Hx8XB1dYWfnx/s7Oze74KyISkpCWFhYfD19dVbT31uxxxqh/l7JTISWLQI2LOnHkaNyvqAV+YwY8+eATt3qrBhgwn++EOFlBT5u9rERMDcHJBf2mX0O18g7VaRu3dtEBxcCsHBpWBrK+DnJ/Dxx6lo3lzA0dFQV5Lz8TOoHeZPe4bOYdo3/e/yXsVx4cKFcfDgQTx69Ai2trYwNTXVeP2XX36Bra3t+xwyyxwdHWFqapqul/j27dvpeofTFClSJMP2ZmZmcHBwyPA9JiYmqFWrFi5evJhpLJaWlrC0tEy339zc3KB/QQx9vtyIOdQO8weMGQMsWwbs32+Cv/82Qf367/d+5lDeRLd/P/Dzz3Lu6CdPXr1Wsybg7w907qzCoUNyVgpA88Y82dehwrp1QPPmwJ49chaRnTuB2FgVtm5VYetWE5iYAPXrA61aAa1bA+XLG/AiczB+BrXD/GnPUDnM6jmytbaTvb19usIYAAoVKqTRk6xLFhYWqFGjRrqu97CwMHh5eWX4nnr16qVrHxoaipo1a2aaICEEoqKi4OLiopvAiShXc3UFevSQ21OnKhqK0Tl5Evj6a6BECaBJE2D1alkYu7sD48bJhVYiI+XUec7OQPv2wK+/AsWKaR6neHG5v317wNoaaNkSWLJE3sAXGQmMHw9UqQKkpsob9kaOBDw8gHLlgBEjgPBwIDlZkRQQUQ5kVAufBgQEYNmyZVixYgXOnj2LYcOG4fr16+jfvz8AOdyhW7du6vb9+/fHtWvXEBAQgLNnz2LFihVYvnw5RowYoW4zadIk/PHHH7hy5QqioqLQq1cvREVFqY9JRPQuo0cDpqZASIgsxihzN28CP/wAVK4sC9ZZs4Bbt4CCBYF+/WTxevmynCLPwyP9+9u3B65eBcLCkhEQ8A/CwpIRHS33v8nERPY8T54MREXJ982fD/j5AebmwMWLwI8/Ag0bAk5Osod682Ygi9+8ElEu9V7DKpTWuXNn3Lt3D5MnT0ZsbCwqVqyI4OBguLm5AQBiY2M15jwuWbIkgoODMWzYMCxYsABFixbF3Llz0aFDB3Wbhw8fom/fvoiLi4O9vT2qVauGAwcOoHbt2ga/PiIyTqVKAZ99BqxZI3uPt29XOqKcJT5eDpf4+Wc5fCJtSISFhezl9feXwyEyGK2WIVNTwMdH4OnTGPj4VEEGX2RmyM0NGDhQPuLj5RR8O3YA//sfcP8+sHatfJiby4K5VSv5cHfPxkUTkdEyquIYAAYMGIABAwZk+NqqVavS7fPx8cGxY8cyPd6cOXMwZ84cXYVHRHnUN9/I4m/HDuDECdkrmpclJcme9LVrZU5eX3TU21sWxB07yh5jJdjZyfN37CiHVEREyDh37gTOnwfCwuRj8GDZy502TrlmTdkjTUS5F/+KExHpQPnyQOfOcvu775SNRSlCAIcPy9UDXVxkMbl5syyMPTxkXqKjgQMHgD59lCuM32RmJgv2mTOBc+dkcTxrFtCggSyET56UsdepI8c79+kji+gszgpFREaGxTERkY588438+euv8mayvOLSJWDSJHmDW716wIIFwL178ia6oUOBo0eBM2dkfoxhiEK5csDw4fJGvdu35TcCn3wC5M8PxMXJ2UlatwYcHeXPZcvkfiLKHYxuWAURUU5VqRLQrh3w22+yp3HtWqUj0p+7d2Wv8M8/y97iNDY28ua4zz8HGjeWvbLGzMFBXsvnnwOJibJgTht+ce3aqynjAKB2bVkst2olPwtcpY/IOLHnmIhIh8aNkz83bJA9qrnJ8+eyIG7dWg6bGDhQFsYmJkDTprJQ/u8/+bNpU+MvjN9kYQH4+gLz5snhISdOyFk10u7f/vtv+edfpQpQsiTw1Vdy3HJiorJxE9H7YXFMRKRD1asDLVrIOXWnT1c6Gu2lpgL79gG9egFFishx1Tt3ypvYqlcHZs8GYmLkzXeffw7oaR2oHEelkjfqjRsHHDkip6P76SfZa2xlJXuV06aNc3QEOnWS3yTcv6905ET0LiyOiYh0bPx4+XPNGjm3rjH6919g1Cg5/dlHHwErVsjpz0qUkGOHT5+WY4mHDZNFc17n4iJv1NuxQ4633r4d6N1bjrt+/Bj45Rc5Q4eTE+DjI+dXfstCrESkoFz2pRcRkfLq1pUrvu3eLRe8WLhQ6Yiy5tYtYP162cN54sSr/fb2sufz88+BDz/kVGbvYmMjh560bi173iMjZW/7jh3AqVNyto4DB+TqfOXLv2pbrx6yPGczEekPf8UREelBWu/x8uVy2EFO9fixXLbZ11cuw/z117IwNjcH2raVM2/ExckhA2lTm1HWmZjIKeCmTpVTwkVHA3Pnyv88mZvLaeNmzpRTyTk7A927ywVTHj9WOnKivIu/5oiI9KBBA1nwJCbK4icnSUoCgoOBLl1kQdajh+zlFgKoXx9YvFgWxL/9BnToIMfQkm64u7+6Ue/OHWDTJtkjX7CgHI6xZo1cmMTREWjWTE6L99rCr0RkACyOiYj0JK33eMkSOYuDkoSQsykMHiwXsvj4Y2DjRjkDRblyctaFy5eBP/8E+vUDChVSNt68IG24ys8/y/mU9++X8yuXKSP/U/XHH3JBFTc3oGpV4NtvgX/+kUM1iEh/WBwTEelJkybyK/UXL+SsDkq4ckUWvh4eMpZ582SPZeHCslD++2+5Kty4cUCpUsrESHLaOx8fuTLfhQtyEZkffng1xjtt2rhateTwl379gP/9T/7nhoh0i8UxEZGeqFSveo/TVo0zhHv35NCIDz8ESpeWPY4XLgDW1nIoRXCwHAcdFCSLLS5WkbOoVPI/M19/DRw8KL91WL1aDnGxtQViY+UY8JYt5fCLtm3lbCJKfztBlFtwtgoiIj1q0QKoVg04fhwIDJS9f/rw4gWwa5ecaSI4WI4rBmSvY+PGclxru3ZyCWQyLo6OQLdu8pGQIIdfpK3Sd+OGnDZu+3ZZVNep82qVvg8+yPw/PikpQHi4CgcOFEO+fCo0asSZMojSsOeYiEiPVKpXq+bNnQs8fKi7Y6emyuWM+/SRcw1/8okskpKS5BjVWbNk8RQaKgsrFsbGz9JSrj64YIFcaOT4cWDSJKBmTTmu/PBhOQ91pUryW4OhQ4E9e179ZwkAtm6VNwb6+pph9uya8PU1g7u73E9E7DkmItK7tm2BihXlwhrz578qlrPrzBnZQ7xuneZMBsWLA599JnuJK1bU7hyU86lU8j9BaTfrxcTIbw927pSzj0RHy6EzQUHy5r9mzeRiJUFBspB+XUyMnCXj11+B9u2VuBqinIPFMRGRnpmYAGPHyvG+c+YAQ4a8//RosbHAhg2yKD5+/NV+OzvZY/z555yHOK8rVkzeqNevH/D0qSyQd+yQBfPt23LauMwIIYvtoUOBNm04xILyNv4aJSIygE8+kVOm3b8vvxJPG+8ZHq5CSkrG73nyRE7z1bSp7BUePlwWxmZmclzp5s1yPuJly4CGDVkY0yv58skid/ly+R+riAiga9e3v0cIOQzn4EHDxEiUU7HnmIjIAExN5VjQHj1kL3JqqhmAmpg9Wxa+QUHy6+zkZNnjt3atXITj2bNXx6hXT/YQd+okb9IiygoTE7mkeXS0XB78XWJj9R8TUU7G4piIyECsreXPNxdxiImR03S1bAlERmpOyVWmjCyIP/9c3mBFlF0uLrptR5RbsTgmIjKAlBQ5LCIjaTdH7dolfzo6Ap9+Kgvi2rU5DzHphre3/JYiJib9DXmA/JwVLy7bEeVlHKFGRGQABw8CN2++u920acCtW3Iluzp1WBiT7piayuE7QMafKyHkXNy8GY/yOhbHREQGkNVxnO7ugLm5XkOhPKx9ezldW7Fi6V9TqTLeT5TXsDgmIjIAjveknKJ9e+DqVSAsLBkBAf8gLCwZXbrInuPu3YHnz5WOkEhZLI6JiAwgbbxnZsMkVCrA1ZXjPckwTE0BHx+BBg1i4OMjsGABULQocP68nE2FKC9jcUxEZABvG++Z9pzjPUkpBQvK+bIB+TkMD1c0HCJFsTgmIjKQzMZ7Fi/OZXtJec2bA336yOEVPXsCjx8rHRGRMlgcExEZUEbjPaOjWRhTzvDjj4Cbm1ww5OuvlY6GSBksjomIDOzN8Z4cSkE5Rf78wMqVcnvJEuCPP5SNh0gJLI6JiIhIrVEjYPBgud2rF/DwoaLhEBkci2MiIiLSMH06ULasXE1vyBCloyEyLBbHREREpMHGBli9GjAxAdasAbZtUzoiIsNhcUxERETp1KsHjBwpt/v1A+7cUTYeIkNhcUxEREQZmjgRqFgRuH0b+PJLOc0bUW7H4piIiIgyZGkph1WYmQFbtgAbNyodEZH+sTgmIiKiTFWrBnz7rdweOBC4dUvZeIj0jcUxERERvdXo0UDNmsCDB69W0SPKrVgcExER0VuZm8vZKywtgeBgYMUKpSMi0h8Wx0RERPROFSoA330nt4cOlcugE+VGLI6JiIgoS4YOBerXB548Ab74AkhNVToiIt1jcUxERERZYmoKrFolFwnZtw9YsEDpiIh0j8UxERERZVmZMsDMmXJ71CjgwgVl4yHSNRbHRERE9F769weaNAGePwe6dwdSUpSOiEh3WBwTERHRezExAZYvB+zsgMOHgVmzlI6ISHdYHBMREdF7K1ECCAqS299+C/z7r7LxEOkKi2MiIiLKlu7dgVatgMREoFs3IClJ6YiItMfimIiIiLJFpQJ++gkoVAg4fvzVPMhExozFMREREWVbkSLAokVye+pU4OhRZeMh0haLYyIiItJKp05A585y1opu3YAXL5SOiCj7WBwTERGR1hYsAJydgTNn5A16RMaKxTERERFpzcEBWLpUbs+aBRw6pGw8RNnF4piIiIh0olUroGdPQAg5k8XTp0pHRPT+WBwTERGRzsyZA7i6Apcvy+WliYwNi2MiIiLSGXt7YMUKub1gAbB7t7LxEL0vFsdERESkU02aAAMGyO0vvgAePVI2HqL3weKYiIiIdG7GDKB0aeDGDWDYMKWjIco6FsdERESkc7a2wKpVchW9lSuBXbuUjogoa1gcExERkV58+CEwfLjc7tMHuHdP2XiIsoLFMREREenNlCmApycQFwcMGqR0NETvxuKYiIiI9MbKClizBjA1BTZuBDZvVjoiordjcUxERER6VbMmMHas3B4wQPYiE+VULI6JiIhI78aOBapVk+OO+/WTq+gR5UQsjomIiEjvLCyA1avlzx075FALopzI6IrjhQsXomTJkrCyskKNGjVw8ODBt7YPDw9HjRo1YGVlhVKlSmHx4sXp2mzZsgUVKlSApaUlKlSogN9++01f4RMREeVZlSoBkyfL7cGD5RzIRDmNURXHmzZtwtChQzF27FgcP34c3t7eaN68Oa5fv55h++joaLRo0QLe3t44fvw4vvnmGwwePBhbtmxRt4mIiEDnzp3h7++PEydOwN/fH506dcKRI0cMdVlERER5xogRQN26QHy8XD2PwysopzGq4nj27Nno1asXevfuDU9PTwQGBsLV1RWLFi3KsP3ixYtRokQJBAYGwtPTE71798YXX3yBWbNmqdsEBgbC19cXY8aMgYeHB8aMGYPGjRsjMDDQQFdFRESUd5iayuEV1tbA7t1ABl/oEinKTOkAsioxMRFHjx7F6NGjNfb7+fnhr7/+yvA9ERER8PPz09jXtGlTLF++HElJSTA3N0dERASGvbGuZdOmTd9aHCckJCAhIUH9PD4+HgCQlJSEpKSk97msbEk7hyHOlVsxh9ph/rTHHGqH+dOekjksWRL47jsTBASYYsQIgUaNklG6tMHD0Ao/g9ozdA6zeh6jKY7v3r2LlJQUODs7a+x3dnZGXCZzwsTFxWXYPjk5GXfv3oWLi0umbTI7JgBMnz4dkyZNSrc/NDQUNjY2Wb0krYWFhRnsXLkVc6gd5k97zKF2mD/tKZVDd3egYkUv/PtvYbRvH4+pU/+EqakioWiFn0HtGSqHz549y1I7oymO06hUKo3nQoh0+97V/s3973vMMWPGICAgQP08Pj4erq6u8PPzg52d3bsvQktJSUkICwuDr68vzM3N9X6+3Ig51A7zpz3mUDvMn/ZyQg4rVgSqVxc4e9YBly61xLBhqYrEkR05IX/GztA5TPum/12Mpjh2dHSEqalpuh7d27dvp+v5TVOkSJEM25uZmcHBweGtbTI7JgBYWlrC0tIy3X5zc3OD/gUx9PlyI+ZQO8yf9phD7TB/2lMyh2XLAnPmAH36AN9+a4qWLU1RoYIioWQbP4PaM1QOs3oOo7khz8LCAjVq1EjX9R4WFgYvL68M31OvXr107UNDQ1GzZk11gjJrk9kxiYiISHd69QKaNwcSEoDu3YHkZKUjorzOaIpjAAgICMCyZcuwYsUKnD17FsOGDcP169fRv39/AHK4Q7du3dTt+/fvj2vXriEgIABnz57FihUrsHz5cowYMULdZsiQIQgNDcWMGTNw7tw5zJgxA7t378bQoUMNfXlERER5jkoFLFsGFCwI/PMP8P33SkdEeZ1RFcedO3dGYGAgJk+ejKpVq+LAgQMIDg6Gm5sbACA2NlZjzuOSJUsiODgY+/fvR9WqVTFlyhTMnTsXHTp0ULfx8vLCxo0bsXLlSlSuXBmrVq3Cpk2bUKdOHYNfHxERUV5UtCgwf77cnjQJiIpSNBzK44xmzHGaAQMGYMCAARm+tmrVqnT7fHx8cOzYsbces2PHjujYsaMuwiMiIqJs6NIF2LoV2LIF6NYNiIwEMri9h0jvjKrnmIiIiHInlQpYtAgoXBg4dUr2IBMpgcUxERER5QiFCwM//SS3Z8wADh9WNh7Km1gcExERUY7Rti3g7w+kpsrZK7K4bgORzrA4JiIiohwlKEjepHfhAvDNN0pHQ3kNi2MiIiLKUQoWBJYvl9tBQcC+fcrGQ3kLi2MiIiLKcZo1A/r2lds9ewKPHysbD+UdLI6JiIgoR5o1C3B3B65dA4YPVzoayitYHBMREVGOlD8/kLaEwdKlwO+/KxoO5REsjomIiCjH8vEBhg6V2716AffvKxoO5QEsjomIiChHmzYNKF8eiI0FBg9WOhrK7VgcExERUY5mbQ2sXg2YmADr1sllpon0hcUxERER5Xh16gCjR8vt/v2B27eVjYdyLxbHREREZBS+/RaoXBm4cwf48ktACKUjotyIxTEREREZBUtLYM0awNxcDq1Yv17piCg3YnFMRERERqNKFWDCBLk9aBAQE6NsPJT7sDgmIiIiozJqFFCrFvDwIdC7N4dXkG6xOCYiIiKjYmYmZ6+wtARCQoBly5SOiHITFsdERERkdDw95fzHABAQAERHKxsP5R4sjomIiMgoDRkCeHsDT54APXsCqalKR0S5AYtjIiIiMkqmpsDKlUC+fEB4ODBvntIRUW7A4piIiIiMVunSwKxZcnv0aOD8eWXjIePH4piIiIiMWr9+gK8v8OIF0L07kJysdERkzFgcExERkVFTqYDlywF7e+DIEWDmTKUjImPG4piIiIiMnqsrMHeu3J4wATh5Utl46O1SUoDwcBUOHCiG8HAVUlKUjugVFsdERESUK/j7A23aAElJcnhFYqLSEVFGtm4F3N0BX18zzJ5dE76+ZnB3l/tzAhbHRERElCuoVMCSJYCDAxAVBUydqnRE9KatW4GOHYGbNzX3x8TI/TmhQGZxTERERLmGszOweLHcnjYNiIxUNh56JSVFzk2d0XLfafuGDoXiQyxYHBMREVGu0rEj0KWLLLK6dweeP1c6IgKAgwfT9xi/Tgjgxg3ZTkksjomIiCjXmT8fKFIEOHsWGD9e6Wjo8WNg9eqstY2N1W8s78LimIiIiHKdQoWApUvl9uzZyvdG5lUXL8qhFMWLA6tWZe09Li56DemdWBwTERFRrtSyJfDFF/Lr+h49gCdPlI4ob0hNBYKDgebNgXLl5BR78fFA2bJAgQLyxsmMqFRySj5vb4OGmw6LYyIiIsq15swBSpQArlwBRo5UOprc7dEjIDAQKF8e+PhjICREFrxp2+fOycVagPQFctrzwEDA1NSQUafH4piIiIhyLTs7YMUKub1oERAaqmw8udHZs8DAgUCxYsCwYcClS3K1wmHDgAsXgF27gKZNARMToH174NdfZdvXFS8u97dvr8w1vI7FMREREeVqjRsDgwbJ7V69gIcPFQ0nV0hJAXbsAHx9gQoVgIULgadP5faiRXJWitmzgTJl0r+3fXvg6lUgLCwZAQH/ICwsGdHROaMwBgAzpQMgIiIi0rfvv5df7V+6JOfSzerNYaTpwQM5NGLhQiA6Wu4zMQFatwa++gpo1CjzMcWvMzUFfHwEnj6NgY9PFcWHUryOPcdERESU6+XLJ6cSMzGRP7dvVzoi43LqFNC3rxwO8fXXsjAuWFBuX74M/PYb8NFHWSuMczoWx0RERJQneHkBI0bI7b59gbt3lY0np0tOBrZsARo2BCpXllPjPX/+avvmTeCHHwB3d6Uj1S0Wx0RERJRnTJoEfPABcPs2MGCA0tHkTHfvAtOnA6VKydUGw8PlMIi07agooHdvwMZG6Uj1g8UxERER5RlWVnJYhZkZ8MsvwKZNSkeUcxw7BvTsKWeO+OYbuZSzo6Pcjo6W+WrQIHcMnXgbFsdERESUp9SoAYwbJ7cHDFB+uWIlJSXJ/yB8+KHMy6pVQELCq+0bN4DvvpOLc+QVLI6JiIgoz/nmG6B6deD+fTn+WAilIzKs//4DpkyR44U//RQ4dEj2pnfpAvz1FxAZCXTvLnva8xpO5UZERER5jrk5sGaNLJB37ZK9pD17Kh2V/v39NzBvHrB5M5CYKPc5OwP9+wP9+gEuLsrGlxOw55iIiIjypA8+kL2nADBkCHDtmrLx6EtCArB2LVCnjnysXSsL47p1gXXrgOvXgYkTWRinYXFMREREedbw4UC9esDjx8AXXwCpqUpHpDu3bgHffguUKAH4+8teYwsLoFs3OWwiIgLo2lXuo1dYHBMREVGeZWoqZ6+wtgb27pVLHxszIeSY4U8/BdzcZM/47dtA0aJy+8YNeb01ayodac7F4piIiIjytLJl5WIWADByJHDxorLxZMeLF3LcdM2aQP36cgaK5GQ5C8WmTcDVq3KGDicnpSPN+VgcExERUZ43YIBc/vjZM6BHDyAlRemIsubGDTnzhqurvKHw2DE5w8QXXwDHjwMHDwKdOskbEClrWBwTERFRnmdiAqxYAeTPL4clzJ6tdESZE0KuVNexI1CypFzN7u5dObb4++/lss7LlwNVqyodqXFicUxEREQEOUY3MFBujxsHnD6taDjpPHsGLF0KVKkCNGwIbNkie7gbNQK2bgUuXwZGjQIcHJSO1LixOCYiIiJ6qWdP4OOP5VRn3brJFeSUFh0NfP21XNa5b1/g1CnAxkbOS3zqlLyRsF07uYgHaY/FMREREdFLKpXsnS1YUI7fnTZNmTiEAHbvBtq0AUqXBmbNAh48AEqVAn78UQ6dWLwYqFhRmfhyMxbHRERERK9xcQEWLpTbU6fKItlQnjyR5/7gA8DXF9ixQxbKfn7Azp3AhQtAQIAs3kk/WBwTERERvaFzZ+CTT+R0aN26yVXm9OnSJWDoUKBYMWDgQODsWcDWFhg0SG7/8QfQsqWcl5n0i8UxERER0RtUKtmD6+Qkb8ybMEH350hNBUJC5BjnsmWBoCAgPh4oVw6YOxeIiQHmzQM8PHR/bsoci2MiIiKiDDg6Aj/9JLdnzpRTvOlCfLwsfj08gObNgeBgWYy3aAH8/rvsKf7qK8DOTjfno/fD4piIiIgoE23ayGEVqalA9+7A06fZP9a5c3KYRLFiwJAhciU+Ozs5nOLCBeB//wOaNZNzLpNymH4iIiKitwgKkgXtpUvAmDHv996UFHkjnZ8f4OkJLFggb7qrUEEO24iJAebMAcqU0U/s9P44Ix4RERHRWxQoIFfPa9pUjgFu1QpQqVQ4cKAY8uVToVGj9DfKPXgg37NwIXDlitxnYiLf+9VXcqlqlcrgl0JZwOKYiIiI6B38/ID+/eXcws2bAykpZgBqYvZsuThHUBDQvj3w77+ygF67Vq5oB8hp13r3BgYMANzdlbwKygoWx0RERERZ8OGHsjhOSdHcHxMDdOgg5yZ+fcnpypVlL3HXrnJFOzIOLI6JiIiI3iElBRg9OuPXhJA/T5+WQyfat5dFsbc3h04YIxbHRERERO9w8KBcsvldNmwAOnXSfzykP5ytgoiIiOgdYmOz1u7NIRdkfIymOH7w4AH8/f1hb28Pe3t7+Pv74+HDh299jxACEydORNGiRWFtbY2GDRvi9OuDgQA0bNgQKpVK4/Hpp5/q8UqIiIjI2Li46LYd5VxGUxx37doVUVFRCAkJQUhICKKiouDv7//W9/zwww+YPXs25s+fj8jISBQpUgS+vr54/PixRrs+ffogNjZW/ViyZIk+L4WIiIiMjLe3nJUiszHEKhXg6irbkXEzijHHZ8+eRUhICA4fPow6deoAAJYuXYp69erh/PnzKF++fLr3CCEQGBiIsWPHon379gCA1atXw9nZGevXr0e/fv3UbW1sbFCkSBHDXAwREREZHVNTOV1bx46yEE67CQ94VTAHBqaf75iMj1EUxxEREbC3t1cXxgBQt25d2Nvb46+//sqwOI6OjkZcXBz8/PzU+ywtLeHj44O//vpLozhet24d1q5dC2dnZzRv3hwTJkxA/vz5M40nISEBCQkJ6ufx8fEAgKSkJCQlJWl1rVmRdg5DnCu3Yg61w/xpjznUDvOnPebw/bVqBWzcqEJAgCliYl51IRcrJvDjjylo1UqA6cw6Q38Gs3oeoyiO4+Li4OTklG6/k5MT4uLiMn0PADg7O2vsd3Z2xrVr19TPP/vsM5QsWRJFihTBv//+izFjxuDEiRMICwvLNJ7p06dj0qRJ6faHhobCxoATGb4tRsoa5lA7zJ/2mEPtMH/aYw7fj6UlMHcucOaMAx48sELBgi9QocI9mJoCwcFKR2ecDPUZfJa2Kss7KFocT5w4McMi83WRkZEA5DKNbxJCZLj/dW++/uZ7+vTpo96uWLEiypYti5o1a+LYsWOoXr16hsccM2YMAgIC1M/j4+Ph6uoKPz8/2NnZvTUeXUhKSkJYWBh8fX1hbm6u9/PlRsyhdpg/7TGH2mH+tMccaqdZM+ZPW4b+DKZ90/8uihbHgwYNeufMEO7u7jh58iT++++/dK/duXMnXc9wmrQxxHFxcXB57dbR27dvZ/oeAKhevTrMzc1x8eLFTItjS0tLWFpapttvbm5u0L8ghj5fbsQcaof50x5zqB3mT3vMoXaYP+0ZKodZPYeixbGjoyMcHR3f2a5evXp49OgR/v77b9SuXRsAcOTIETx69AheXl4ZvidtqERYWBiqVasGAEhMTER4eDhmzJiR6blOnz6NpKQkjYKaiIiIiPIGo5jKzdPTE82aNUOfPn1w+PBhHD58GH369EHLli01bsbz8PDAb7/9BkAOpxg6dCimTZuG3377Df/++y969OgBGxsbdO3aFQBw+fJlTJ48Gf/88w+uXr2K4OBgfPLJJ6hWrRrq16+vyLUSERERkXKM4oY8QM4oMXjwYPXsE61bt8b8+fM12pw/fx6PHj1SPx85ciSeP3+OAQMG4MGDB6hTpw5CQ0PVM1FYWFhgz549CAoKwpMnT+Dq6oqPP/4YEyZMgCnnYiEiIiLKc4ymOC5UqBDWrl371jbi9UkHIXuPJ06ciIkTJ2bY3tXVFeHh4boKkYiIiIiMnFEMqyAiIiIiMgQWx0REREREL7E4JiIiIiJ6icUxEREREdFLLI6JiIiIiF4ymtkqcrK0WTKyuiyhtpKSkvDs2TPEx8dzVZ5sYg61w/xpjznUDvOnPeZQO8yf9gydw7Q67c3Zzd7E4lgHHj9+DEBODUdEREREOdfjx49hb2+f6esq8a7ymd4pNTUVt27dQv78+aFSqfR+vvj4eLi6uuLGjRuws7PT+/lyI+ZQO8yf9phD7TB/2mMOtcP8ac/QORRC4PHjxyhatChMTDIfWcyeYx0wMTFB8eLFDX5eOzs7/oXUEnOoHeZPe8yhdpg/7TGH2mH+tGfIHL6txzgNb8gjIiIiInqJxTERERER0Ussjo2QpaUlJkyYAEtLS6VDMVrMoXaYP+0xh9ph/rTHHGqH+dNeTs0hb8gjIiIiInqJPcdERERERC+xOCYiIiIieonFMRERERHRSyyOiYiIiIheYnGsgOnTp6NWrVrInz8/nJyc0LZtW5w/f16jjRACEydORNGiRWFtbY2GDRvi9OnTGm1++uknNGzYEHZ2dlCpVHj48GGG5/vf//6HOnXqwNraGo6Ojmjfvr2+Ls1gDJXD/fv3Q6VSZfiIjIzU92XqjSE/gxcuXECbNm3g6OgIOzs71K9fH/v27dPn5RmEIXN47Ngx+Pr6okCBAnBwcEDfvn3x5MkTfV6e3ukif/fv38dXX32F8uXLw8bGBiVKlMDgwYPx6NEjjeM8ePAA/v7+sLe3h729Pfz9/TP9fWlMDJnD7777Dl5eXrCxsUGBAgUMcXl6Z6j8Xb16Fb169ULJkiVhbW2N0qVLY8KECUhMTDTYteqLIT+DrVu3RokSJWBlZQUXFxf4+/vj1q1berkuFscKCA8Px8CBA3H48GGEhYUhOTkZfn5+ePr0qbrNDz/8gNmzZ2P+/PmIjIxEkSJF4Ovri8ePH6vbPHv2DM2aNcM333yT6bm2bNkCf39/9OzZEydOnMChQ4fQtWtXvV6fIRgqh15eXoiNjdV49O7dG+7u7qhZs6ber1NfDPkZ/Pjjj5GcnIy9e/fi6NGjqFq1Klq2bIm4uDi9XqO+GSqHt27dQpMmTVCmTBkcOXIEISEhOH36NHr06KHvS9QrXeTv1q1buHXrFmbNmoVTp05h1apVCAkJQa9evTTO1bVrV0RFRSEkJAQhISGIioqCv7+/Qa9XHwyZw8TERHzyySf48ssvDXqN+mSo/J07dw6pqalYsmQJTp8+jTlz5mDx4sVv/b1pLAz5GWzUqBE2b96M8+fPY8uWLbh8+TI6duyonwsTpLjbt28LACI8PFwIIURqaqooUqSI+P7779VtXrx4Iezt7cXixYvTvX/fvn0CgHjw4IHG/qSkJFGsWDGxbNkyvcafE+grh29KTEwUTk5OYvLkyTqNX2n6yt+dO3cEAHHgwAH1vvj4eAFA7N69Wz8XoxB95XDJkiXCyclJpKSkqPcdP35cABAXL17Uz8UoQNv8pdm8ebOwsLAQSUlJQgghzpw5IwCIw4cPq9tEREQIAOLcuXN6uhpl6CuHr1u5cqWwt7fXeew5gSHyl+aHH34QJUuW1F3wOYQhc7h9+3ahUqlEYmKi7i7gJfYc5wBpXx0UKlQIABAdHY24uDj4+fmp21haWsLHxwd//fVXlo977NgxxMTEwMTEBNWqVYOLiwuaN2+e7mvd3EBfOXzTjh07cPfuXaPvtXuTvvLn4OAAT09PrFmzBk+fPkVycjKWLFkCZ2dn1KhRQ7cXoTB95TAhIQEWFhYwMXn169ra2hoA8Oeff+oi9BxBV/l79OgR7OzsYGZmBgCIiIiAvb096tSpo25Tt25d2Nvba/W7ICfSVw7zCkPm79GjR+rz5CaGyuH9+/exbt06eHl5wdzcXIdXILE4VpgQAgEBAfjwww9RsWJFAFB/3ezs7KzR1tnZ+b2+ir5y5QoAYOLEiRg3bhx27dqFggULwsfHB/fv39fRFShPnzl80/Lly9G0aVO4urpmP+AcRp/5U6lUCAsLw/Hjx5E/f35YWVlhzpw5CAkJyTXjFgH95vCjjz5CXFwcZs6cicTERDx48ED9dWxsbKyOrkBZusrfvXv3MGXKFPTr10+9Ly4uDk5OTunaOjk5Gf3QntfpM4d5gSHzd/nyZcybNw/9+/fXUfQ5gyFyOGrUKOTLlw8ODg64fv06tm/fruOrkFgcK2zQoEE4efIkNmzYkO41lUql8VwIkW7f26SmpgIAxo4diw4dOqBGjRpYuXIlVCoVfvnlF+0Cz0H0mcPX3bx5E3/88Ue6cVDGTp/5E0JgwIABcHJywsGDB/H333+jTZs2aNmyZa4p7AD95vCDDz7A6tWr8eOPP8LGxgZFihRBqVKl4OzsDFNTU61jzwl0kb/4+Hh8/PHHqFChAiZMmPDWY7ztOMZK3znM7QyVv1u3bqFZs2b45JNP0Lt3b90En0MYIodff/01jh8/jtDQUJiamqJbt24QeljomcWxgr766ivs2LED+/btQ/HixdX7ixQpAgDp/ld1+/btdP/7ehsXFxcAQIUKFdT7LC0tUapUKVy/fl2b0HMMfefwdStXroSDgwNat26d/YBzGH3nb+/evdi1axc2btyI+vXro3r16li4cCGsra2xevVq3VyEwgzxGezatSvi4uIQExODe/fuYeLEibhz5w5Kliyp/QUoTBf5e/z4MZo1awZbW1v89ttvGl+zFilSBP/991+68965cyfbvwtyGn3nMLczVP5u3bqFRo0aoV69evjpp5/0cCXKMVQOHR0dUa5cOfj6+mLjxo0IDg7G4cOHdX49LI4VIITAoEGDsHXrVuzduzfdP3AlS5ZEkSJFEBYWpt6XmJiI8PBweHl5Zfk8NWrUgKWlpca0KklJSbh69Src3Ny0vxAFGSqHr59v5cqV6NatW674R8NQ+Xv27BkAaIyXTXue9s2GsTL0ZxCQX0Xa2tpi06ZNsLKygq+vr1bXoCRd5S8+Ph5+fn6wsLDAjh07YGVlpXGcevXq4dGjR/j777/V+44cOYJHjx5l+88hpzBUDnMrQ+YvJiYGDRs2RPXq1bFy5cp0vxONlZKfwbQe44SEBB1djebBycC+/PJLYW9vL/bv3y9iY2PVj2fPnqnbfP/998Le3l5s3bpVnDp1SnTp0kW4uLiI+Ph4dZvY2Fhx/PhxsXTpUvWMAMePHxf37t1TtxkyZIgoVqyY+OOPP8S5c+dEr169hJOTk7h//75Br1nXDJlDIYTYvXu3ACDOnDljsGvUJ0Pl786dO8LBwUG0b99eREVFifPnz4sRI0YIc3NzERUVZfDr1iVDfgbnzZsnjh49Ks6fPy/mz58vrK2tRVBQkEGvV9d0kb/4+HhRp04dUalSJXHp0iWN4yQnJ6uP06xZM1G5cmUREREhIiIiRKVKlUTLli0Nfs26ZsgcXrt2TRw/flxMmjRJ2NraiuPHj4vjx4+Lx48fG/y6dcVQ+YuJiRFlypQRH330kbh586ZGG2NnqBweOXJEzJs3Txw/flxcvXpV7N27V3z44YeidOnS4sWLFzq/LhbHCgCQ4WPlypXqNqmpqWLChAmiSJEiwtLSUjRo0ECcOnVK4zgTJkx453ESExPF8OHDhZOTk8ifP79o0qSJ+Pfffw10pfpjyBwKIUSXLl2El5eXAa7MMAyZv8jISOHn5ycKFSok8ufPL+rWrSuCg4MNdKX6Y8gc+vv7i0KFCgkLCwtRuXJlsWbNGgNdpf7oIn9p099l9IiOjla3u3fvnvjss89E/vz5Rf78+cVnn332zmkbjYEhc9i9e/cM2+zbt89wF6xjhsrfypUrM21j7AyVw5MnT4pGjRqJQoUKCUtLS+Hu7i769+8vbt68qZfrUr28OCIiIiKiPC93DHohIiIiItIBFsdERERERC+xOCYiIiIieonFMRERERHRSyyOiYiIiIheYnFMRERERPQSi2MiIiIiopdYHBMRERERvcTimIiIiIjoJRbHRES5mBACTZo0QdOmTdO9tnDhQtjb2+P69esKREZElDOxOCYiysVUKhVWrlyJI0eOYMmSJer90dHRGDVqFIKCglCiRAmdnjMpKUmnxyMiMiQWx0REuZyrqyuCgoIwYsQIREdHQwiBXr16oXHjxqhduzZatGgBW1tbODs7w9/fH3fv3lW/NyQkBB9++CEKFCgABwcHtGzZEpcvX1a/fvXqVahUKmzevBkNGzaElZUV1q5dq8RlEhHphEoIIZQOgoiI9K9t27Z4+PAhOnTogClTpiAyMhI1a9ZEnz590K1bNzx//hyjRo1CcnIy9u7dCwDYsmULVCoVKlWqhKdPn+Lbb7/F1atXERUVBRMTE1y9ehUlS5aEu7s7fvzxR1SrVg2WlpYoWrSowldLRJQ9LI6JiPKI27dvo2LFirh37x5+/fVXHD9+HEeOHMEff/yhbnPz5k24urri/PnzKFeuXLpj3LlzB05OTjh16hQqVqyoLo4DAwMxZMgQQ14OEZFecFgFEVEe4eTkhL59+8LT0xPt2rXD0aNHsW/fPtja2qofHh4eAKAeOnH58mV07doVpUqVgp2dHUqWLAkA6W7iq1mzpmEvhohIT8yUDoCIiAzHzMwMZmbyV39qaipatWqFGTNmpGvn4uICAGjVqhVcXV2xdOlSFC1aFKmpqahYsSISExM12ufLl0//wRMRGQCLYyKiPKp69erYsmUL3N3d1QXz6+7du4ezZ89iyZIl8Pb2BgD8+eefhg6TiMigOKyCiCiPGjhwIO7fv48uXbrg77//xpUrVxAaGoovvvgCKSkpKFiwIBwcHPDTTz/h0qVL2Lt3LwICApQOm4hIr1gcExHlUUWLFsWhQ4eQkpKCpk2bomLFihgyZAjs7e1hYmICExMTbNy4EUePHkXFihUxbNgwzJw5U+mwiYj0irNVEBERERG9xJ5jIiIiIqKXWBwTEREREb3E4piIiIiI6CUWx0REREREL7E4JiIiIiJ6icUxEREREdFLLI6JiIiIiF5icUxERERE9BKLYyIiIiKil1gcExERERG9xOKYiIiIiOil/wOzdoEUJGxwxgAAAABJRU5ErkJggg==",
+      "text/plain": [
+       "<Figure size 800x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(8, 5))\n",
+    "plt.plot(years[0:], skew[0:], marker='o', color='b', linestyle='-', label='Year-to-Year Change in Skewness')\n",
+    "plt.xlabel('Year')\n",
+    "plt.ylabel('Skewness')\n",
+    "plt.title('Year-to-Year Change in Skewness')\n",
+    "plt.grid(True)\n",
+    "plt.legend()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c4f8d4eb-66f9-4ae2-85fa-7a5f4d1819c1",
+   "metadata": {},
+   "source": [
+    "## Conclusion\n",
+    "We have built a powerful tool for exploring, analyzing, and visualizing frequency data. By combining user interactivity, detailed analysis, and aggregated insights, it provides a flexible and reusable framework for understanding time-series data across multiple timeframes."
+   ]
+  }
+ ],
+ "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": "3.11.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/pct/modules/03/PJM_5_BUS_system.png b/pct/modules/03/PJM_5_BUS_system.png
new file mode 100644
index 0000000..80d78dc
Binary files /dev/null and b/pct/modules/03/PJM_5_BUS_system.png differ
diff --git a/pct/modules/03/intro.md b/pct/modules/03/intro.md
new file mode 100644
index 0000000..5446a98
--- /dev/null
+++ b/pct/modules/03/intro.md
@@ -0,0 +1,24 @@
+# Building and solving optimization problems with advanced tools
+
+## Overview: An example of a power system optimization problem 
+
+
+
+### Objective
+
+This module leverages cyber infrastructure to conduct a day-ahead economic dispatch on a modified PJM 5-bus system, demonstrating how cyber infrastructure can be utilized to model and solve a power system optimization problem. The cyber infrastructure leveraged in this module includes Python, Jupyter Notebook, NumPy, GurobiPy, and Matplotlib.
+
+
+
+### Key Components
+
+1.	Inputting system parameters and calculating the Shift Factors matrix.
+2.	Formulating the optimization model and solving the optimization problem.
+3.	Extracting the optimization results and displaying the outcomes.
+
+
+This module provides an effective PowerCyber training, facilitating the utilization of cyber infrastructure to conduct studies and research in the power domain.
+
+
+
+
diff --git a/pct/modules/03/power-system-optimization-problem.ipynb b/pct/modules/03/power-system-optimization-problem.ipynb
new file mode 100644
index 0000000..96fecae
--- /dev/null
+++ b/pct/modules/03/power-system-optimization-problem.ipynb
@@ -0,0 +1,1068 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "13c82843-a72c-4db6-863b-fa4158fe95f3",
+   "metadata": {},
+   "source": [
+    "# 1. Overview: An example of a power system optimization problem \n",
+    "\n",
+    "\n",
+    "\n",
+    "## 1.1 Objective\n",
+    "\n",
+    "This module leverages cyber infrastructure to conduct a day-ahead economic dispatch on a modified PJM 5-bus system, demonstrating how cyber infrastructure can be utilized to model and solve a power system optimization problem. The cyber infrastructure leveraged in this module includes Python, Jupyter Notebook, NumPy, GurobiPy, and Matplotlib.\n",
+    "\n",
+    "\n",
+    "\n",
+    "## 1.2 Key Components\n",
+    "\n",
+    "1.  Formulating the mathematical model for the optimization problem.\n",
+    "2.\tInputting system parameters and calculating the Shift Factors matrix.\n",
+    "3.\tFormulating the optimization problem in cyber infrastructure and solving the optimization problem.\n",
+    "4.\tExtracting the optimization results and displaying the outcomes.\n",
+    "\n",
+    "\n",
+    "This module provides an effective PowerCyber training, facilitating the utilization of cyber infrastructure to conduct studies and research in the power domain."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f6587d54-f4ee-4425-94a9-30e72a9c15bc",
+   "metadata": {},
+   "source": [
+    "<br><br>"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "221be134-7756-4bb7-ad48-ca869320463a",
+   "metadata": {},
+   "source": [
+    "# 2. Formulating the mathematical model for the optimization problem"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "54b5680e-1444-43d4-a05b-8c0e661e2b4a",
+   "metadata": {},
+   "source": [
+    "The mathematical model for day-ahead economic dispatch in this module is as follows:\n",
+    "\n",
+    "The objective function is to minimize the generation cost, where $P_{i,t}$ represents the output of generator $i$ in time period $t$, $C_g(P_{i,t})$ denotes the generation cost of generator $i$ in time period $t$, $N_g$ is the total number of generators, and $T$ is the total number of scheduling periods.\n",
+    "\n",
+    "$$\\min \\sum_{i=1}^{N_g} \\sum_{t=1}^{T} C_g(P_{i,t})  \\qquad (1)$$\n",
+    "\n",
+    "\n",
+    "The constraints are as follows. For example, the generator's ramping constraint,  where $\\Delta P_{i}^{U}$ represents the ramp-up limit and $\\Delta P_{i}^{D}$ represents the ramp-down limit.\n",
+    "\n",
+    "$$P_{i,t} - P_{i,t-1} \\leq  \\Delta P_{i}^{U}  \\qquad (2)$$ \n",
+    "\n",
+    "$$P_{i,t-1} - P_{i,t} \\leq  \\Delta P_{i}^{D}  \\qquad (3)$$\n",
+    "\n",
+    "\n",
+    "System load balance constraints, where $D_{k,t}$ represents the load at bus $k$ during time period $t$, and $K$ denotes the total number of buses.\n",
+    "\n",
+    "$$\\sum_{i=1}^{N_{g}} P_{i,t} \\geq \\sum_{k=1}^{K}D_{k,t} \\qquad (4)$$\n",
+    "\n",
+    "\n",
+    "Line flow limit constraints, where GSF represents the shift factor matrix, and $P_{l}^{max}$ denotes the line flow limit.\n",
+    "\n",
+    "$$\\sum_{i=1}^{N_{i}}GSF_{l-i}*P_{i,t}-\\sum_{k=1}^{N_{l}}GSF_{l-k}*D_{k,t}\\geq -P_{l}^{max}  \\qquad (5)$$\n",
+    "\n",
+    "$$\\sum_{i=1}^{N_{i}}GSF_{l-i}*P_{i,t}-\\sum_{k=1}^{N_{l}}GSF_{l-k}*D_{k,t}\\leq P_{l}^{max}  \\qquad (6)$$\n",
+    "\n",
+    "\n",
+    "Generator output limit constraints, where $P_{i}^{max}$ and $P_{i}^{min}$ represent the upper and lower output limits of generator $i$, respectively.\n",
+    "\n",
+    "$$P_{i}^{min}\\leq P_{i,t}\\leq P_{i}^{max}  \\qquad (7)$$"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e93f550a-4315-4ec9-adcd-d6a3046b6a4a",
+   "metadata": {},
+   "source": [
+    "<br><br>"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e74bfc3a-ff7f-4b0c-9888-affb12fffdcc",
+   "metadata": {},
+   "source": [
+    "# 3. Modified PJM 5-bus system\n",
+    "\n",
+    "## 3.1 Overview\n",
+    "The PJM 5-bus system was originally published as early as 1999 [1]. This system ishown in Fig. 1 [1], which includes a total of 5 buses, 6 lines, 5 generators, and 3 loads. Based on the PJM 5-bus system used in [1], our module introduces several modifications to the parameters. Further details are presented in the following sections.\n",
+    "\n",
+    "\n",
+    "![Fig. 1. The PJM 5-bus system [1]](PJM_5_BUS_system.png)\n",
+    "\n",
+    "**Fig. 1. The PJM 5-bus system [1]**\n",
+    "\n",
+    "\n",
+    "\n",
+    "## 3.2 Generator parameters\n",
+    "The parameters of the generators are presented below. Each generator's ramp rate is set to 50% [2] of its maximum power output, and the minimum power output for each generator is assumed to be 20% of its maximum power output.\n",
+    "\n",
+    "\n",
+    "| Name | Location | Ramping limit (MW) | Min (MW) | Max (MW) | Price ($/MWh) |\n",
+    "|------------------|----------|--------------------|--------|--------|---------------|\n",
+    "| Alta             | Bus A    | 55                | 22      | 110    | 14            |\n",
+    "| Park City        | Bus A    | 50                | 20      | 100    | 15            |\n",
+    "| Solitude         | Bus C    | 260               | 104     | 520    | 20            |\n",
+    "| Sundance         | Bus D    | 100               | 40      | 200    | 19            |\n",
+    "| Brighton         | Bus E    | 300               | 120     | 600    | 10            |\n",
+    "\n",
+    "\n",
+    "## 3.3 Line parameters\n",
+    "The parameters of the lines are presented below. \n",
+    "\n",
+    "| Line | From bus | To bus | Reactance p.u. | Flow Limit MW |\n",
+    "|------|----------|--------|----------------|---------------|\n",
+    "| A-B  | A        | B      | 0.0281         | 400          |\n",
+    "| A-D  | A        | D      | 0.0304         | 300          |\n",
+    "| B-C  | B        | C      | 0.0108         | 400          |\n",
+    "| C-D  | C        | D      | 0.0297         | 400          |\n",
+    "| D-E  | D        | E      | 0.0297         | 240          |\n",
+    "| E-A  | E        | A      | 0.0064         | 300          |\n",
+    "\n",
+    "\n",
+    "## 3.4 Load parameters\n",
+    "The load for each bus throughout the 24 hours is presented below.\n",
+    "\n",
+    "| Bus | Hour 1 | Hour 2 | Hour 3 | Hour 4 | Hour 5 | Hour 6 | Hour 7 | Hour 8 | Hour 9 | Hour 10 | Hour 11 | Hour 12 | Hour 13 | Hour 14 | Hour 15 | Hour 16 | Hour 17 | Hour 18 | Hour 19 | Hour 20 | Hour 21 | Hour 22 | Hour 23 | Hour 24 |\n",
+    "|-----|--------|--------|--------|--------|--------|--------|--------|--------|--------|---------|---------|---------|---------|---------|---------|---------|---------|---------|---------|---------|---------|---------|---------|---------|\n",
+    "| Bus A | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |\n",
+    "| Bus B | 181.72 | 196.03 | 210.33 | 224.64 | 238.94 | 245.90 | 252.86 | 259.81 | 266.77 | 273.73 | 280.69 | 287.64 | 294.60 | 276.22 | 257.84 | 239.46 | 221.09 | 234.59 | 248.09 | 261.59 | 275.08 | 251.65 | 228.21 | 204.78 |\n",
+    "| Bus C | 184.62 | 194.86 | 205.11 | 215.36 | 225.60 | 235.62 | 245.64 | 255.67 | 265.69 | 275.71 | 285.73 | 295.75 | 305.77 | 289.15 | 272.53 | 255.91 | 239.30 | 251.58 | 263.86 | 276.15 | 288.43 | 262.07 | 235.70 | 209.34 |\n",
+    "| Bus D | 274.10 | 289.67 | 305.23 | 320.80 | 336.37 | 344.47 | 352.58 | 360.68 | 368.79 | 376.89 | 385.00 | 393.10 | 401.21 | 383.78 | 366.36 | 348.93 | 331.51 | 344.62 | 357.73 | 370.85 | 383.96 | 358.45 | 332.94 | 307.43 |\n",
+    "| Bus E | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |\n",
+    "\n",
+    "\n",
+    "## References\n",
+    "[1] F. Li and R. Bo, \"Small Test Systems for Power System Economic Studies,\" 2010 IEEE PES General Meeting, Minneapolis, MN, USA, 2010, pp. 1-4, doi: 10.1109/PES.2010.5589973.\n",
+    "\n",
+    "[2] X. Fang, F. Li, Y. Wei, and H. Cui, \"Strategic scheduling of energy storage for load serving entities in locational marginal pricing market,\" IET Generation, Transmission & Distribution, vol. 9, no. 4, pp. 358–365, Apr. 2015, doi: 10.1049/iet-gtd.2015.0144.\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ebe074c2-7ac7-448a-8309-46cbd3441af0",
+   "metadata": {},
+   "source": [
+    "<br><br>"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "bd230e1a-5732-4725-b499-a8ba5df2297a",
+   "metadata": {},
+   "source": [
+    "# 4. Inputting system parameters and calculating the Shift Factors matrix\n",
+    "\n",
+    "\n",
+    "\n",
+    "\n",
+    "\n",
+    "\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "91193359-7ad6-4490-957f-0995a9be837e",
+   "metadata": {},
+   "source": [
+    "First, numpy [1] is imported for scientific computing and efficient array operations. NumPy is a powerful array programming library in Python, widely used across different fields for scientific research and data analysis. Serving as the foundation of the scientific Python ecosystem, NumPy offers powerful data manipulation interfaces and acts as an interoperability layer between various array computation libraries [1].\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "c26b33cd-9160-45dd-9933-106f72e052c5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "999a387e-e4ff-46e9-8794-1c06f5f7d20c",
+   "metadata": {},
+   "source": [
+    "To facilitate programming, we will use the terms 'generator 1', 'generator 2', 'generator 3', 'generator 4', 'generator 5' to refer respectively to the generators Alta, Park City, Solitude, Sundance, and Brighton. Similarly, 'line 1', 'line 2', 'line 3', 'line 4', 'line 5' will correspond to the lines A-B, A-D, B-C, C-D, D-E, and E-A.\n",
+    "Then, we record the number of generators, lines, and buses used in the modified PJM 5-bus system employed in this module, designating bus 1 as the reference bus. Additionally, we set the total number of time periods for the day-ahead economic dispatch to 24, with each period assumed to represent 1 hour:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "61fe72ef-c109-4797-8f54-5c5845913488",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "N_gen= 5\n",
+    "N_line=6\n",
+    "bus_num=5\n",
+    "ref_bus = 1 \n",
+    "N_interval=24"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "cdc5e739-976b-4176-9206-35ec51d5986c",
+   "metadata": {},
+   "source": [
+    "Thereafter, we set generators' maximum outputs:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "160de7ab-b025-481b-b6d7-e3b719802f56",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Gen_max:\n",
+      "[110. 100. 520. 200. 600.]\n"
+     ]
+    }
+   ],
+   "source": [
+    "gen_max=np.zeros(N_gen)\n",
+    "gen_max[0]=110\n",
+    "gen_max[1]=100\n",
+    "gen_max[2]=520\n",
+    "gen_max[3]=200\n",
+    "gen_max[4]=600\n",
+    "print(\"Gen_max:\")\n",
+    "print(gen_max)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "72cc7613-fc67-4e94-bb43-c5449732449a",
+   "metadata": {},
+   "source": [
+    "Subsequently, we set generators' minimum outputs, the minimum outputs of the generators are assumed to be 20% of their maximum outputs:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "b9048ac1-9ec1-4c5f-b62e-a56cfe939404",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Gen_min:\n",
+      "[ 22.  20. 104.  40. 120.]\n"
+     ]
+    }
+   ],
+   "source": [
+    "gen_min=np.zeros(N_gen)\n",
+    "gen_min=0.2*gen_max\n",
+    "print(\"Gen_min:\")\n",
+    "print(gen_min)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0c872926-e595-4570-b956-cecf9996092a",
+   "metadata": {},
+   "source": [
+    "Afterwards, we set generators' ramping rates, the ramping rates are assumed to be 50% of their maximum outputs:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "c4b3364f-6899-42d8-8e67-17ba9cac0362",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Gen_ramping:\n",
+      "[ 55.  50. 260. 100. 300.]\n"
+     ]
+    }
+   ],
+   "source": [
+    "gen_ramping=np.zeros(N_gen)\n",
+    "gen_ramping=gen_max*0.5\n",
+    "print(\"Gen_ramping:\")\n",
+    "print(gen_ramping)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d4a28748-0c22-4c9f-8391-8e505d8c7d6d",
+   "metadata": {},
+   "source": [
+    "Next, we set the generators' costs, here we assume each unit has a fixed cost per MWh of output:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "19820167-e830-4f69-a189-c94d56e5370e",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Gen_cost:\n",
+      "[14. 15. 20. 19. 10.]\n"
+     ]
+    }
+   ],
+   "source": [
+    "gen_cost=np.zeros(N_gen)\n",
+    "gen_cost[0]=14\n",
+    "gen_cost[1]=15\n",
+    "gen_cost[2]=20\n",
+    "gen_cost[3]=19\n",
+    "gen_cost[4]=10\n",
+    "print(\"Gen_cost:\")\n",
+    "print(gen_cost)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "fa183212-9d07-481b-a3d6-e11106b0efbe",
+   "metadata": {},
+   "source": [
+    "Then, we set the load forecast for each bus over the 24-hour period. Here, we construct a daily load profile with a dual peak, occurring at midday and in the evening."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "02e8a23b-7dc9-48a4-a7dd-639fb0175203",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Load:\n",
+      "[[  0.     0.     0.     0.     0.     0.     0.     0.     0.     0.\n",
+      "    0.     0.     0.     0.     0.     0.     0.     0.     0.     0.\n",
+      "    0.     0.     0.     0.  ]\n",
+      " [181.72 196.03 210.33 224.64 238.94 245.9  252.86 259.81 266.77 273.73\n",
+      "  280.69 287.64 294.6  276.22 257.84 239.46 221.09 234.59 248.09 261.59\n",
+      "  275.08 251.65 228.21 204.78]\n",
+      " [184.62 194.86 205.11 215.36 225.6  235.62 245.64 255.67 265.69 275.71\n",
+      "  285.73 295.75 305.77 289.15 272.53 255.91 239.3  251.58 263.86 276.15\n",
+      "  288.43 262.07 235.7  209.34]\n",
+      " [274.1  289.67 305.23 320.8  336.37 344.47 352.58 360.68 368.79 376.89\n",
+      "  385.   393.1  401.21 383.78 366.36 348.93 331.51 344.62 357.73 370.85\n",
+      "  383.96 358.45 332.94 307.43]\n",
+      " [  0.     0.     0.     0.     0.     0.     0.     0.     0.     0.\n",
+      "    0.     0.     0.     0.     0.     0.     0.     0.     0.     0.\n",
+      "    0.     0.     0.     0.  ]]\n"
+     ]
+    }
+   ],
+   "source": [
+    "load = np.array([\n",
+    "    [  0.  ,   0.  ,   0.  ,   0.  ,   0.  ,   0.  ,   0.  ,   0.  ,   0.  ,   0.  ,   0.  ,   0.  ,   0.  ,   0.  ,   0.  ,   0.  ,   0.  ,   0.  ,   0.  ,   0.  ,   0.  ,   0.  ,   0.  ,   0.  ],\n",
+    "    [181.72, 196.03, 210.33, 224.64, 238.94, 245.9 , 252.86, 259.81, 266.77, 273.73, 280.69, 287.64, 294.6 , 276.22, 257.84, 239.46, 221.09, 234.59, 248.09, 261.59, 275.08, 251.65, 228.21, 204.78],\n",
+    "    [184.62, 194.86, 205.11, 215.36, 225.6 , 235.62, 245.64, 255.67, 265.69, 275.71, 285.73, 295.75, 305.77, 289.15, 272.53, 255.91, 239.3 , 251.58, 263.86, 276.15, 288.43, 262.07, 235.7 , 209.34],\n",
+    "    [274.1 , 289.67, 305.23, 320.8 , 336.37, 344.47, 352.58, 360.68, 368.79, 376.89, 385.  , 393.1 , 401.21, 383.78, 366.36, 348.93, 331.51, 344.62, 357.73, 370.85, 383.96, 358.45, 332.94, 307.43],\n",
+    "    [  0.  ,   0.  ,   0.  ,   0.  ,   0.  ,   0.  ,   0.  ,   0.  ,   0.  ,   0.  ,   0.  ,   0.  ,   0.  ,   0.  ,   0.  ,   0.  ,   0.  ,   0.  ,   0.  ,   0.  ,   0.  ,   0.  ,   0.  ,   0.  ]\n",
+    "])\n",
+    "print(\"Load:\")\n",
+    "print(load)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3d15e799-0232-4731-8858-ca595d797e83",
+   "metadata": {},
+   "source": [
+    "Next, we set the line flow limit for each transmission line:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "87be76c8-97f6-4fb1-b62a-824f54e909bc",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Line_flow_limit:\n",
+      "[400. 300. 400. 400. 240. 300.]\n"
+     ]
+    }
+   ],
+   "source": [
+    "line_max=np.zeros(N_line)\n",
+    "line_max[0]=400\n",
+    "line_max[1]=300\n",
+    "line_max[2]=400\n",
+    "line_max[3]=400\n",
+    "line_max[4]=240\n",
+    "line_max[5]=300\n",
+    "print(\"Line_flow_limit:\")\n",
+    "print(line_max)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e4478952-41ea-40c5-a1e3-867e8e343356",
+   "metadata": {},
+   "source": [
+    "Subsequently, we set the line's impedance parameters. Here we only consider reactance:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "2d6ca77c-43fa-4873-b991-383433f89d08",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "branch_data = [\n",
+    "    (1, 1, 2, 0.0281),\n",
+    "    (2, 1, 4, 0.0304),\n",
+    "    (3, 2, 3, 0.0108),\n",
+    "    (4, 3, 4, 0.0297),\n",
+    "    (5, 4, 5, 0.0297),\n",
+    "    (6, 5, 1, 0.0064),        \n",
+    "]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "442d7f4f-a635-46b1-a974-43adfc7c5843",
+   "metadata": {},
+   "source": [
+    "Following this, we can calculate the B_matrix, which is the foundation for calculatig the Shift Factors matrix."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "f3c4e13f",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "B_matrix:\n",
+      "[[ 224.73192545  -35.58718861    0.          -32.89473684 -156.25      ]\n",
+      " [ -35.58718861  128.1797812   -92.59259259    0.            0.        ]\n",
+      " [   0.          -92.59259259  126.26262626  -33.67003367    0.        ]\n",
+      " [ -32.89473684    0.          -33.67003367  100.23480418  -33.67003367]\n",
+      " [-156.25          0.            0.          -33.67003367  189.92003367]]\n"
+     ]
+    }
+   ],
+   "source": [
+    "B_matrix = np.zeros((N_gen, N_gen))\n",
+    "for _, i, j, reactance in branch_data:\n",
+    "    i, j = i - 1, j - 1 \n",
+    "    Y = 1 / reactance\n",
+    "    B_matrix[i][j] = B_matrix[j][i] = -Y  \n",
+    "for i in range(N_gen):\n",
+    "    B_matrix[i][i] = -np.sum(B_matrix[i])  \n",
+    "print(\"B_matrix:\")\n",
+    "print(B_matrix)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "360aa905-cc14-4adc-9920-848f06580489",
+   "metadata": {},
+   "source": [
+    "Based on the previously calculated B matrix, we can now calculate the system's Shift Factors matrix:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "e211d5d2",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Shift Factors matrix:\n",
+      "[[ 0.         -0.66981132 -0.54290606 -0.19391661 -0.03437857]\n",
+      " [ 0.         -0.17924528 -0.24813671 -0.43758813 -0.07757795]\n",
+      " [ 0.          0.33018868 -0.54290606 -0.19391661 -0.03437857]\n",
+      " [ 0.          0.33018868  0.45709394 -0.19391661 -0.03437857]\n",
+      " [ 0.          0.1509434   0.20895723  0.36849527 -0.11195652]\n",
+      " [ 0.          0.1509434   0.20895723  0.36849527  0.88804348]]\n"
+     ]
+    }
+   ],
+   "source": [
+    "def calculate_shift_factors(B_matrix, branch_data, inj_bus, ref_bus):\n",
+    "    n = B_matrix.shape[0]\n",
+    "    B_reduce = np.delete(np.delete(B_matrix, ref_bus - 1, axis=0), ref_bus - 1, axis=1)\n",
+    "    delta_P = np.zeros(n)\n",
+    "    \n",
+    "    delta_P[ref_bus - 1] = -1 \n",
+    "    delta_P[inj_bus - 1] = delta_P[inj_bus - 1]+1  \n",
+    "    delta_P_reduce = np.delete(delta_P, ref_bus - 1, axis=0)\n",
+    "                        \n",
+    "    delta_theta = np.linalg.solve(B_reduce, delta_P_reduce)\n",
+    "    \n",
+    "    delta_theta = np.insert(delta_theta, ref_bus - 1, 0)\n",
+    "\n",
+    "    SF_matrix = np.zeros(len(branch_data))\n",
+    "\n",
+    "    for index, (branch, i, j, reactance) in enumerate(branch_data):\n",
+    "        i, j = i - 1, j - 1  \n",
+    "        SF_matrix[index] = (delta_theta[i] - delta_theta[j]) / reactance\n",
+    "\n",
+    "    return SF_matrix\n",
+    " \n",
+    "SF=np.zeros((N_line,bus_num))\n",
+    " \n",
+    "for inj_bus in range(bus_num):\n",
+    "    \n",
+    "    SF[:,inj_bus] = calculate_shift_factors(B_matrix, branch_data, inj_bus+1, ref_bus)\n",
+    "\n",
+    "print(\"Shift Factors matrix:\")\n",
+    "print(SF)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "977c3b70-8088-40b8-80fc-0c466ffe0e78",
+   "metadata": {},
+   "source": [
+    "## References\n",
+    "\n",
+    "[1] Harris, C.R., Millman, K.J., van der Walt, S.J. et al. Array programming with NumPy. Nature 585, 357–362 (2020). DOI: 10.1038/s41586-020-2649-2."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "89f3304d-393b-4981-a101-891bc08b288d",
+   "metadata": {},
+   "source": [
+    "<br><br>"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2967b9a1-3e4e-4362-ae8c-bc87ebf31786",
+   "metadata": {},
+   "source": [
+    "# 5. Formulating the optimization problem in cyber infrastructure and solving the optimization problem"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "05d86930-8a39-4b08-afb1-7855a9cdfa99",
+   "metadata": {},
+   "source": [
+    "We use Gurobipy [1] to model and solve this mathematical formulation. The Gurobi Optimizer is a mathematical optimization software designed to solve a wide range of optimization problems [2]. Gurobipy is the official Python interface provided by Gurobi, enabling seamless integration of the optimizer within Python environments for efficient model building and solution processes. The Gurobipy package includes a trial license, which allows users to solve problems of limited size [2]. However, students and faculty affiliated with academic institutions are eligible for a free, full-featured license [2]."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b159a82d-a11d-4554-97e0-86558044aa34",
+   "metadata": {},
+   "source": [
+    "First, if you have not installed Gurobipy, you can install it in Jupyter Notebook using the following command:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "a6ce8d63-2923-46ba-ac13-8a6a014c6391",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Requirement already satisfied: gurobipy in d:\\miniforge3\\envs\\andes\\lib\\site-packages (11.0.3)\n",
+      "Note: you may need to restart the kernel to use updated packages.\n"
+     ]
+    }
+   ],
+   "source": [
+    "#install gurobipy\n",
+    "get_ipython().run_line_magic('pip', 'install gurobipy')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ff725758-5595-4f4d-aa5c-3f1b65c4fd70",
+   "metadata": {},
+   "source": [
+    "Next, you need to import the entire gurobipy library and import the GRB constants from gurobipy."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3af66954-6bdb-463c-90a1-0d1bf272de49",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import gurobipy as grb\n",
+    "from gurobipy import GRB"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b3bbc9ee-44c3-47a4-8d28-1e182b892bc8",
+   "metadata": {},
+   "source": [
+    "Following this, you will use gurobipy to construct a day-ahead economic dispatch optimization model. The first steps are to create a new optimization model instance, define the decision variables, and set up the objective function."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5b5f065c-b426-4034-8dac-1108d30f7ee2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#create a new optimization model\n",
+    "M = grb.Model()\n",
+    "#define the decision variables\n",
+    "P_i_t = M.addVars(N_gen, N_interval, vtype = GRB.CONTINUOUS, name='gen_output')\n",
+    "#set up the objective function\n",
+    "gen_fuel_cost = grb.quicksum(gen_cost[i]*(P_i_t[i,t]) for i in range(N_gen) for t in range(N_interval)) \n",
+    "M.setObjective(gen_fuel_cost, GRB.MINIMIZE)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "12b04450-fec3-4ee7-a452-1327e87a87b4",
+   "metadata": {},
+   "source": [
+    "Next, you need to define various constraints, such as ramping constraints (In this case, we assume the ramp-up and ramp-down limits are identical):"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3fdadee9-2109-4c68-9e7c-37b63aae3165",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "M.addConstrs((P_i_t[i,t]-P_i_t[i,t-1]<=gen_ramping[i] for i in range(N_gen)  for t in range(1,N_interval)),name='con_1')\n",
+    "M.addConstrs((P_i_t[i,t-1]-P_i_t[i,t]<=gen_ramping[i] for i in range(N_gen)  for t in range(1,N_interval)),name='con_2'"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2eeadfdc-69b6-4b87-95e4-339744c3ef30",
+   "metadata": {},
+   "source": [
+    "System load balance constraints:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "e4c1f7f6-a462-48db-bfea-bf0a0bd5fd93",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "M.addConstrs((grb.quicksum(P_i_t[i,t] for i in range(N_gen)) >= \n",
+    "              grb.quicksum(load[p,t] for p in range(bus_num)) for t in range(N_interval)),name='con_3')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "cdcc29b8-09fb-4b3b-afe5-673dea590bd4",
+   "metadata": {},
+   "source": [
+    "Line flow limit constraints:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "7d7b7bc5-cfe6-48f2-90cd-84f2d74b1cb0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "M.addConstrs((SF[l,0]*(P_i_t[0,t]+P_i_t[1,t])+SF[l,2]*P_i_t[2,t]+SF[l,3]*P_i_t[3,t]+\n",
+    "              SF[l,4]*P_i_t[4,t]-(SF[l,0]*load[0,t]+SF[l,1]*load[1,t]+SF[l,2]*load[2,t]+\n",
+    "                                  SF[l,3]*load[3,t]+SF[l,4]*load[4,t]) <= line_max[l] \n",
+    "              for l in range(N_line) for t in range(N_interval)),name='con_4')\n",
+    "M.addConstrs((SF[l,0]*(P_i_t[0,t]+P_i_t[1,t])+SF[l,2]*P_i_t[2,t]+SF[l,3]*P_i_t[3,t]+\n",
+    "              SF[l,4]*P_i_t[4,t]-(SF[l,0]*load[0,t]+SF[l,1]*load[1,t]+SF[l,2]*load[2,t]+\n",
+    "                                  SF[l,3]*load[3,t]+SF[l,4]*load[4,t]) >= -line_max[l] \n",
+    "              for l in range(N_line) for t in range(N_interval)),name='con_5')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9fc4fb52-e685-4885-b150-17eba4d527d4",
+   "metadata": {},
+   "source": [
+    "Generator output limit constraints:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "1c27795b-d795-470a-a257-6af765ef67b5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "M.addConstrs((P_i_t[i,t] <= gen_max[i] for i in range(N_gen) for t in range(N_interval)),name='con_6')\n",
+    "M.addConstrs((P_i_t[i,t] >=gen_min[i]  for i in range(N_gen) for t in range(N_interval)),name='con_7')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6e5e6581-7e23-4685-bd68-e756a05a7ed8",
+   "metadata": {},
+   "source": [
+    "Now, you can invoke Gurobi to solve this optimization problem using the following command:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "id": "8652db28",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Set parameter Username\n",
+      "Academic license - for non-commercial use only - expires 2025-01-06\n",
+      "Gurobi Optimizer version 11.0.3 build v11.0.3rc0 (win64 - Windows 11.0 (22631.2))\n",
+      "\n",
+      "CPU model: 12th Gen Intel(R) Core(TM) i5-12500H, instruction set [SSE2|AVX|AVX2]\n",
+      "Thread count: 12 physical cores, 16 logical processors, using up to 16 threads\n",
+      "\n",
+      "Optimize a model with 782 rows, 120 columns and 1684 nonzeros\n",
+      "Model fingerprint: 0x83f402d8\n",
+      "Coefficient statistics:\n",
+      "  Matrix range     [3e-02, 1e+00]\n",
+      "  Objective range  [1e+01, 2e+01]\n",
+      "  Bounds range     [0e+00, 0e+00]\n",
+      "  RHS range        [2e+00, 1e+03]\n",
+      "Presolve removed 605 rows and 0 columns\n",
+      "Presolve time: 0.01s\n",
+      "Presolved: 177 rows, 235 columns, 579 nonzeros\n",
+      "\n",
+      "Iteration    Objective       Primal Inf.    Dual Inf.      Time\n",
+      "       0    2.4377912e+05   1.029226e+03   0.000000e+00      0s\n",
+      "      60    2.5845501e+05   0.000000e+00   0.000000e+00      0s\n",
+      "\n",
+      "Solved in 60 iterations and 0.01 seconds (0.00 work units)\n",
+      "Optimal objective  2.584550141e+05\n"
+     ]
+    }
+   ],
+   "source": [
+    "M.optimize()       "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "94dbd4b5-a156-4769-a499-e0b12bedbb94",
+   "metadata": {},
+   "source": [
+    "From the solution results presented above, it can be observed that the computational time for solving this optimization problem was 0.01 seconds, with an optimal objective value of 2.584550141e+05."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f56ddb98-1be3-4af3-b55d-b18805553081",
+   "metadata": {},
+   "source": [
+    "## References\n",
+    "\n",
+    "[1] Gurobi Optimization, LLC, “Gurobi Optimizer Reference Manual,” 2024.\n",
+    "\n",
+    "[2] Gurobi Optimization, LLC, “GurobiPy: Python interface for the Gurobi Optimizer,” PyPI, [Online]. Available: https://pypi.org/project/gurobipy/\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e55ba4de-bf9c-4e0d-a9c1-305f06f7c260",
+   "metadata": {},
+   "source": [
+    "<br><br>"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1637e676-231d-410f-87dd-e13326d09f22",
+   "metadata": {},
+   "source": [
+    "# 6. Extracting the optimization results and displaying the outcomes"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7c402a8d-e874-4363-ba36-bbf987aa581e",
+   "metadata": {},
+   "source": [
+    "First, we extract the decision variables corresponding to the solution of our optimization model:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0ebaad69-2e80-421b-bd19-aa12d9e15f2c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Extract optimization results\n",
+    "P_i_t_1 = np.zeros((N_gen,N_interval+1))\n",
+    "for i in range(0,N_gen):\n",
+    "    for t in range(1,N_interval+1):\n",
+    "        P_i_t_1[i,t] =  P_i_t[i,t-1].X"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "52647899-df0d-4184-be3f-ea159567ca95",
+   "metadata": {},
+   "source": [
+    "Next, we import matplotlib.pyplot [1] to display the results mentioned above. The matplotlib.pyplot module provides a suite of functions designed to emulate MATLAB-like functionality within Matplotlib, facilitating interactive plotting and visualization in Python [2]."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "id": "20b16dfb-4b29-4e57-b6d0-b67c62dc54b0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Import matplotlib.pyplot for plotting\n",
+    "import matplotlib.pyplot as plt"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "73adf567-eed3-4c01-9728-40f3a4a9b4bf",
+   "metadata": {},
+   "source": [
+    "Then, we can display the results using matplotlib.pyplot:"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "59289efa-4c18-40f3-aa3d-d850de33357b",
+   "metadata": {},
+   "source": [
+    "Set the font size in the figure to 16:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "adcd8045-f3f7-4f0d-a812-7e40563b820b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "plt.rcParams.update({'font.size': 16})  "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c22d2a37-4eb0-47c0-8dac-0eedb4827707",
+   "metadata": {},
+   "source": [
+    "Set the figure size to figsize=(9, 5):"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "1278abb5-8b5e-443d-9b84-b41798951e72",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "plt.figure(figsize=(9, 5))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0147b695-8c5f-4dc9-ac3a-d77a79ce54b7",
+   "metadata": {},
+   "source": [
+    "Set the line styles and markers:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ee60bb49-151d-48e4-a052-2c8078c2c593",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "line_styles = ['-', '--', '-.', ':', (0, (3, 10, 1, 10))]\n",
+    "markers = ['o', 's', '^', 'D', 'x']"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3978d2e0-dd1e-4e99-935c-d566a0ffd47c",
+   "metadata": {},
+   "source": [
+    "Plot the output of each generator across all time periods:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "44c22ddf-be82-4216-8393-f0860c2c0cc8",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "plt.plot(np.arange(1, 25), P_i_t_1[0,1:], color='red', linestyle=line_styles[0], marker=markers[0], label='gen_1')\n",
+    "plt.plot(np.arange(1, 25), P_i_t_1[1,1:], color='blue', linestyle=line_styles[1], marker=markers[1], label='gen_2')\n",
+    "plt.plot(np.arange(1, 25), P_i_t_1[2,1:], color='green', linestyle=line_styles[2], marker=markers[2], label='gen_3')\n",
+    "plt.plot(np.arange(1, 25), P_i_t_1[3,1:], color='orange', linestyle=line_styles[3], marker=markers[3], label='gen_4')\n",
+    "plt.plot(np.arange(1, 25), P_i_t_1[4,1:], color='purple', linestyle=line_styles[4], marker=markers[4], label='gen_5')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "79ed6b78-5a76-43e2-838f-673dc7b3c57e",
+   "metadata": {},
+   "source": [
+    "Configure the display characteristics of the legend, x-axis, and y-axis:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2f0585fd-4ee2-4dce-ae1a-83b891232eff",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "plt.legend(loc='center left', bbox_to_anchor=(1, 0.5))\n",
+    "plt.xlabel('Hour')  \n",
+    "plt.ylabel('MW')\n",
+    "plt.xticks(np.arange(1, 25, 1))  \n",
+    "plt.xlim(1, 24)\n",
+    "plt.ylim(0, 600)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1541bb22-dfdd-4910-aadc-20a6a43ce36b",
+   "metadata": {},
+   "source": [
+    "Generate the figure:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "id": "225034a0",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 900x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "25612af9-5930-4578-9158-fca591596468",
+   "metadata": {},
+   "source": [
+    "Building on the optimization results for the decision variables obtained above, further analytical calculations can be conducted. For instance, we can determine the scheduling cost for each generating unit:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "id": "6ddb644c",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Operating cost of individual gen 1: 32070.73\n",
+      "Operating cost of individual gen 2: 17780.64\n",
+      "Operating cost of individual gen 3: 49920.00\n",
+      "Operating cost of individual gen 4: 31616.99\n",
+      "Operating cost of individual gen 5: 127066.65\n"
+     ]
+    }
+   ],
+   "source": [
+    "#Calculate each generator's cost \n",
+    "individual_gen_cost=np.zeros(N_gen)\n",
+    "for i in range(N_gen):\n",
+    "    individual_gen_cost[i]=gen_cost[i]*sum(P_i_t_1[i,1:])\n",
+    "    print(f'Operating cost of individual gen {i+1}: {individual_gen_cost[i]:.2f}')    "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "eb4110d1-378f-425a-8295-7ec46a7b76a3",
+   "metadata": {},
+   "source": [
+    "## References\n",
+    "\n",
+    "[1] J. D. Hunter, \"Matplotlib: A 2D graphics environment,\" Computing in Science & Engineering, vol. 9, no. 3, pp. 90-95, 2007, doi: 10.1109/MCSE.2007.55.\n",
+    "\n",
+    "[2] Matplotlib Developers, \"Pyplot tutorial,\" Matplotlib Documentation, https://matplotlib.org/stable/tutorials/pyplot.html "
+   ]
+  }
+ ],
+ "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": "3.8.20"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}