{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# NCRM Text Data Workshop - part 3: Basic text data analysis\n", "#### Lewys Brace - l.brace@exeter.ac.uk\n", "\n", "### 1. What is NLP\n", "Natural Language Processing (NLP) is a sub-field combining linguistics and artificial intelligence. In a technical sense, it is the technology used to aid computers in understanding our natural language. It's ultimate aim is to read, decipher, understand, and make sense of the human languages in a manner that is valuable.\n", "\n", "#### NLP applications:\n", "- Personal voice assistants; i.e. Alexa, Google assist, etc.\n", "- Language translation apps; i.e. Google translate.\n", "- Spell and grammar check in Microsoft Office, etc.\n", "- Call centre interactive voice response systems.\n", "- It has become imperative for organisations to have a structure in place to mine actionable insights from the text being generated. From social media analytics, risk management and cybercrime protection, to automating everyday \"boring tasks\".\n", "\n", "#### The difficulties of NLP\n", "- NLP is not simple, but a lot of progress has been made in recent years.\n", "- It's difficult because of the nature of linguistic rules for the passing of information are not easy for computers to understand. For example:\n", " > The high-level absract rules of sarcasm.\n", " > Low-level rules, such as using \"s\" to denote plurals.\n", "- Thus, a comprehensive understanding the human language requires understanding both the words and how the concepts are connected to deliver the intended message.\n", "\n", "#### Mistakes happen\n", "- They happen and are natural.\n", "- For example, the biblical phrase below was once translated from English to Russain:\n", "
Original English phrase: “The spirit is willing, but the flesh is weak.”
\n", "
Translated Russain phrase: “The vodka is good, but the meat is rotten.”
\n", "\n", "#### How does it work?\n", "- NLP involves the application of machine learning algorithms to identify and extract natural language rules, and converting it into a form that computers and understand and work with.\n", "- We can then use the computers to extract the meaning of words and sentences, and therefore draw our data.\n", "- There will always be mistakes!\n", "\n", "### 2. Setting up\n", "Let's begin by importing the necessary packages that we'll need:" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import pandas as pd\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", "import networkx as nx\n", "import itertools\n", "import os\n", "import nltk\n", "from nltk.tokenize import sent_tokenize, word_tokenize\n", "from nltk.stem import WordNetLemmatizer\n", "from nltk import ngrams, FreqDist, bigrams\n", "from sklearn.feature_extraction.text import CountVectorizer\n", "from stemming.porter2 import stem\n", "from nltk.corpus import stopwords\n", "from wordcloud import WordCloud, STOPWORDS\n", "import string\n", "from textblob import TextBlob, Word\n", "import collections\n", "import sys" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We are then going to use the ``pandas`` package to import the profiles.json file that we created in the last video. Pandas' ``read_json`` function imports the jason file and converts it into a dataframe." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "df = pd.read_json(\"C:/Users/lb690/OneDrive - University of Exeter/Teaching/NLP_workshop/profiles.json\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "If we print the dataframe, we can see that the json files is now in dataframe form for us to work with:" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " name \\\n", "0 Professor Mike Michael \n", "1 Dr Alexey Bessudnov \n", "2 Dr Katharine Boyd \n", "3 Dr Lewys Brace \n", "4 Dr Angela Cassidy \n", ".. ... \n", "113 Dr Kate Marx \n", "114 Professor Andrew Pickering \n", "115 Dr Hilary Wheaton \n", "116 Daisy Elliott \n", "117 Mary Tamplin \n", "\n", " page_content page_url \\\n", "0 \\n\\n2845\\n\\n01392 722845\\n\\nAmory 347\\n\\nMike ... michael/ \n", "1 Read more\\n\\nRead more\\n\\nRead more\\n\\nRead mo... bessudnov/ \n", "2 Read more\\n\\nRead more\\n\\nRead more\\n\\n\\n\\n564... boyd/ \n", "3 Read more\\n\\n\\n\\n6963\\n\\n01392 726963\\n\\nLewys... brace/ \n", "4 Read more\\n\\nRead more\\n\\n\\n\\n5390\\n\\n01392 72... cassidy/ \n", ".. ... ... \n", "113 NaN marx/ \n", "114 NaN pickering/ \n", "115 NaN wheaton/ \n", "116 NaN elliott.d/ \n", "117 NaN tamplin/ \n", "\n", " position \n", "0 Professor (Anthropology and Sociology)science ... \n", "1 Senior Lecturer (Sociology), Director of Educa... \n", "2 Senior Lecturer (Sociology)Political and relig... \n", "3 Lecturer in Data Analysis \n", "4 Senior Lecturer in Science and Technology Stud... \n", ".. ... \n", "113 Honorary Research Fellow \n", "114 Professor \n", "115 Associate Member \n", "116 Graduate Research AssistantAnthropology Socio... \n", "117 Graduate Research Assistant \n", "\n", "[118 rows x 4 columns]\n", "['name', 'page_content', 'page_url', 'position']\n" ] } ], "source": [ "print(df)\n", "print(list(df)) #Print the column names" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 3. Basic feature extraction\n", "\n", "This is a useful first step before implementing any form of NLP. You can think of it like exploratory data analysis when working with quantitative data; it serves to give us a 'feel' for the data.\n", "\n", "#### Word count\n", "One of the most basic features we can extract is the number of words in each prfoile's position variable.\n", "\n", "This can be done in Python by selecting the cell you want to count the words of, and then using Python's ``len()`` and ``split()`` functions to get the number of words in that cell. However, because we are working with a dataframe and want to apply this to every cell in the ``position`` column, we use the ``split()`` and ``len()`` functions in conjunction with the lambda function. In Python, lambda is just another way to define a function. For example, the line ``df['text'].apply(lambda x: len(x.split(\" \")))`` below essentially says:\n", "\n", "1. for each string in value (here referred to as x), get the number of elements (denoted by len() function for \"length\") of of the string when all elements are separated in accordance with where a space (\" \") occurs in the string.\n", "2. the df['position'].apply() then says do step one to every document in the dataframe and assign it to the corresponding row in this new column called df['word_count'].\n", "\n", "We run that command and then use ``df[['word_count']])`` to view the newly created column that contains the word count for the ``position`` variable for each row." ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " word_count\n", "0 39\n", "1 27\n", "2 14\n", "3 4\n", "4 33\n", ".. ...\n", "113 3\n", "114 1\n", "115 2\n", "116 7\n", "117 3\n", "\n", "[118 rows x 1 columns]\n", " name \\\n", "0 Professor Mike Michael \n", "1 Dr Alexey Bessudnov \n", "2 Dr Katharine Boyd \n", "3 Dr Lewys Brace \n", "4 Dr Angela Cassidy \n", ".. ... \n", "113 Dr Kate Marx \n", "114 Professor Andrew Pickering \n", "115 Dr Hilary Wheaton \n", "116 Daisy Elliott \n", "117 Mary Tamplin \n", "\n", " page_content page_url \\\n", "0 \\n\\n2845\\n\\n01392 722845\\n\\nAmory 347\\n\\nMike ... michael/ \n", "1 Read more\\n\\nRead more\\n\\nRead more\\n\\nRead mo... bessudnov/ \n", "2 Read more\\n\\nRead more\\n\\nRead more\\n\\n\\n\\n564... boyd/ \n", "3 Read more\\n\\n\\n\\n6963\\n\\n01392 726963\\n\\nLewys... brace/ \n", "4 Read more\\n\\nRead more\\n\\n\\n\\n5390\\n\\n01392 72... cassidy/ \n", ".. ... ... \n", "113 NaN marx/ \n", "114 NaN pickering/ \n", "115 NaN wheaton/ \n", "116 NaN elliott.d/ \n", "117 NaN tamplin/ \n", "\n", " position word_count \n", "0 Professor (Anthropology and Sociology)science ... 39 \n", "1 Senior Lecturer (Sociology), Director of Educa... 27 \n", "2 Senior Lecturer (Sociology)Political and relig... 14 \n", "3 Lecturer in Data Analysis 4 \n", "4 Senior Lecturer in Science and Technology Stud... 33 \n", ".. ... ... \n", "113 Honorary Research Fellow 3 \n", "114 Professor 1 \n", "115 Associate Member 2 \n", "116 Graduate Research AssistantAnthropology Socio... 7 \n", "117 Graduate Research Assistant 3 \n", "\n", "[118 rows x 5 columns]\n" ] } ], "source": [ "df['word_count'] = df['position'].apply(lambda x: len(x.split(\" \")))\n", "print(df[['word_count']])\n", "print(df)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Average word length\n", "\n", "Calculating the average length of words in a document can be useful when building text classifiers and the like.\n", "\n", "Here, we simply take the sum of the length of all the words and divide it by the total length of the document.\n", "\n", "We're going to build a funciton to calculate this for us. It is important to note that you must define a function in Python before you call it; i.e. the function code needs to come before the function call." ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " avg_word\n", "0 7.775000\n", "1 7.962963\n", "2 9.428571\n", "3 5.500000\n", "4 8.242424\n", ".. ...\n", "113 7.333333\n", "114 9.000000\n", "115 7.500000\n", "116 10.800000\n", "117 8.333333\n", "\n", "[118 rows x 1 columns]\n" ] } ], "source": [ "#First, we create a function that calculates the average word length.\n", "def avg_word(sentence):\n", " words = sentence.split()\n", " if len(words) > 0:\n", " return (sum(len(word) for word in words)/len(words))\n", " else:\n", " return 0\n", "\n", "#We then apply this function to each row (document) in our dataframe.\n", "#This is assigned to a new variable (column) in our dataframe call avg_word\n", "df['avg_word'] = df['position'].apply(lambda x: avg_word(x))\n", "print(df[['avg_word']])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Number of stop words\n", "\n", "Generally, while solving an NLP problem, the first thing we do is to remove the stopwords. But sometimes calculating the number of stopwords can also give us some extra information which we might have been losing before.\n", "\n", "Here, we have imported stopwords from NLTK, which is a basic NLP library in Python." ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " num_stopwords\n", "0 10\n", "1 3\n", "2 1\n", "3 1\n", "4 5\n", ".. ...\n", "113 0\n", "114 0\n", "115 0\n", "116 0\n", "117 0\n", "\n", "[118 rows x 1 columns]\n" ] } ], "source": [ "stop = stopwords.words('english')\n", "\n", "df['num_stopwords'] = df['position'].apply(lambda x: len([x for x in x.split() if x in stop]))\n", "print(df[['num_stopwords']])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Counting special character\n", "\n", "Sometimes when working with text data, such as data scraped from Twitter, etc, it is useful to count the number of special characters; i.e. @ and #.\n", "\n", "Here, we'll first define a list that contains all of the special characters we're interested in as string objects. We'll then cycle through our dataframe as before, and create a new column which will contain the counts of each of our special characters for that respective row. Here, we then cycle through each of the spcial characters, and if any word begins with one of them, we count it. We then add this count to the spcecial characters dictionaty for this document." ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " hashtags\n", "0 0\n", "1 0\n", "2 0\n", "3 0\n", "4 0\n", ".. ...\n", "113 0\n", "114 0\n", "115 0\n", "116 0\n", "117 0\n", "\n", "[118 rows x 1 columns]\n", " twitter_name\n", "0 0\n", "1 0\n", "2 0\n", "3 0\n", "4 0\n", ".. ...\n", "113 0\n", "114 0\n", "115 0\n", "116 0\n", "117 0\n", "\n", "[118 rows x 1 columns]\n", " name \\\n", "0 Professor Mike Michael \n", "1 Dr Alexey Bessudnov \n", "2 Dr Katharine Boyd \n", "3 Dr Lewys Brace \n", "4 Dr Angela Cassidy \n", ".. ... \n", "113 Dr Kate Marx \n", "114 Professor Andrew Pickering \n", "115 Dr Hilary Wheaton \n", "116 Daisy Elliott \n", "117 Mary Tamplin \n", "\n", " page_content page_url \\\n", "0 \\n\\n2845\\n\\n01392 722845\\n\\nAmory 347\\n\\nMike ... michael/ \n", "1 Read more\\n\\nRead more\\n\\nRead more\\n\\nRead mo... bessudnov/ \n", "2 Read more\\n\\nRead more\\n\\nRead more\\n\\n\\n\\n564... boyd/ \n", "3 Read more\\n\\n\\n\\n6963\\n\\n01392 726963\\n\\nLewys... brace/ \n", "4 Read more\\n\\nRead more\\n\\n\\n\\n5390\\n\\n01392 72... cassidy/ \n", ".. ... ... \n", "113 NaN marx/ \n", "114 NaN pickering/ \n", "115 NaN wheaton/ \n", "116 NaN elliott.d/ \n", "117 NaN tamplin/ \n", "\n", " position word_count avg_word \\\n", "0 Professor (Anthropology and Sociology)science ... 39 7.775000 \n", "1 Senior Lecturer (Sociology), Director of Educa... 27 7.962963 \n", "2 Senior Lecturer (Sociology)Political and relig... 14 9.428571 \n", "3 Lecturer in Data Analysis 4 5.500000 \n", "4 Senior Lecturer in Science and Technology Stud... 33 8.242424 \n", ".. ... ... ... \n", "113 Honorary Research Fellow 3 7.333333 \n", "114 Professor 1 9.000000 \n", "115 Associate Member 2 7.500000 \n", "116 Graduate Research AssistantAnthropology Socio... 7 10.800000 \n", "117 Graduate Research Assistant 3 8.333333 \n", "\n", " num_stopwords hashtags twitter_name \n", "0 10 0 0 \n", "1 3 0 0 \n", "2 1 0 0 \n", "3 1 0 0 \n", "4 5 0 0 \n", ".. ... ... ... \n", "113 0 0 0 \n", "114 0 0 0 \n", "115 0 0 0 \n", "116 0 0 0 \n", "117 0 0 0 \n", "\n", "[118 rows x 9 columns]\n" ] } ], "source": [ "#Define special characters in a dictionary\n", "special_chars_dict = {'hashtags': '#',\n", " 'twitter_name': '@'}\n", "\n", "for key, value in special_chars_dict.items():\n", " df[key] = df['position'].apply(lambda x: len([x for x in x.split() if x.startswith(value)]))\n", " print(df[[key]])\n", "print(df)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Uppercase count\n", "\n", "Sometimes it is useful to count the number of words that are in a specific case; i.e. we often see outrage on the internet being conveyed in block uppercase." ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " num_upper\n", "0 0\n", "1 1\n", "2 0\n", "3 0\n", "4 1\n", ".. ...\n", "113 0\n", "114 0\n", "115 0\n", "116 0\n", "117 0\n", "\n", "[118 rows x 1 columns]\n" ] } ], "source": [ "df['num_upper'] = df['position'].apply(lambda x: len([x for x in x.split() if x.isupper()]))\n", "print(df[['num_upper']])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Inspecting the dataframe\n", "We have now added a number of new column containing descriptive data to out dataframe.\n", "We should inspect it before we go any further." ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "df dimensions: (118, 10)\n" ] } ], "source": [ "print(\"df dimensions: \", df.shape)" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "df variables list: ['name', 'page_content', 'page_url', 'position', 'word_count', 'avg_word', 'num_stopwords', 'hashtags', 'twitter_name', 'num_upper']\n" ] } ], "source": [ "print(\"df variables list: \", list(df))" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Top five records in df: name page_content \\\n", "0 Professor Mike Michael \\n\\n2845\\n\\n01392 722845\\n\\nAmory 347\\n\\nMike ... \n", "1 Dr Alexey Bessudnov Read more\\n\\nRead more\\n\\nRead more\\n\\nRead mo... \n", "2 Dr Katharine Boyd Read more\\n\\nRead more\\n\\nRead more\\n\\n\\n\\n564... \n", "3 Dr Lewys Brace Read more\\n\\n\\n\\n6963\\n\\n01392 726963\\n\\nLewys... \n", "4 Dr Angela Cassidy Read more\\n\\nRead more\\n\\n\\n\\n5390\\n\\n01392 72... \n", "\n", " page_url position word_count \\\n", "0 michael/ Professor (Anthropology and Sociology)science ... 39 \n", "1 bessudnov/ Senior Lecturer (Sociology), Director of Educa... 27 \n", "2 boyd/ Senior Lecturer (Sociology)Political and relig... 14 \n", "3 brace/ Lecturer in Data Analysis 4 \n", "4 cassidy/ Senior Lecturer in Science and Technology Stud... 33 \n", "\n", " avg_word num_stopwords hashtags twitter_name num_upper \n", "0 7.775000 10 0 0 0 \n", "1 7.962963 3 0 0 1 \n", "2 9.428571 1 0 0 0 \n", "3 5.500000 1 0 0 0 \n", "4 8.242424 5 0 0 1 \n" ] } ], "source": [ "print(\"Top five records in df: \", df.head())" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 4. Pre-processing\n", "\n", "So, we now have a 'feel' for our textual data. Before we can do anything else, we need to prepare the data for processesing; cleaning it, etc.\n", "\n", "#### Convert all text to lowercase\n", "First, we'll transform all words in our documents into lower case. This avoids having multiple copies of the same words; i.e. while calculating the word count, ‘Food’ and ‘food’ will be counted as different words. Here, we'll convert the ``position`` column text into lower case, then overwirte the existing version of this column so that it now contains the all lowercase version of the text." ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "0 professor (anthropology and sociology)science ...\n", "1 senior lecturer (sociology), director of educa...\n", "2 senior lecturer (sociology)political and relig...\n", "3 lecturer in data analysis\n", "4 senior lecturer in science and technology stud...\n", "Name: position, dtype: object\n" ] } ], "source": [ "df['position'] = df['position'].apply(lambda x: \" \".join(x.lower() for x in x.split()))\n", "print(df['position'].head())" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Remove stopwords and punctuation\n", "What are known as stopword (commonly occurring words such as \"and\" and \"the\") should be now be removed from the text data. In addition, we're going to want to remove punctuation as it doesn't provide use with any additional information. Indeed, removing punctuation at this stage is useful when it comes to building your textual training data if you decide to build a text classifier.\n", "\n", "The key to this step is all down to how comprehensive your list of stopwords and punctuation is. python packages, such as NLTK, have a number of pre-built stopwords lists that you can just import and use. Alternatively, you can just create your own list entirely. In this exercise, we're going to do a bit of both. We're going to import some lists of stopwords and punctuation from Python packages and then add our own stopwords and special characters to the list.\n", "\n", "We're going to use pre-built lists from three packages as our base list; WorldCloud, NLTK, and String. NOTE: this is likely to result in duplication of stop words, but that shouldn't be an issue. But just to be sure, we'll convert it into a set, then back into a list. This will remove any duplicates." ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "['i', 'me', 'my', 'myself', 'we', 'our', 'ours', 'ourselves', 'you', \"you're\", \"you've\", \"you'll\", \"you'd\", 'your', 'yours', 'yourself', 'yourselves', 'he', 'him', 'his', 'himself', 'she', \"she's\", 'her', 'hers', 'herself', 'it', \"it's\", 'its', 'itself', 'they', 'them', 'their', 'theirs', 'themselves', 'what', 'which', 'who', 'whom', 'this', 'that', \"that'll\", 'these', 'those', 'am', 'is', 'are', 'was', 'were', 'be', 'been', 'being', 'have', 'has', 'had', 'having', 'do', 'does', 'did', 'doing', 'a', 'an', 'the', 'and', 'but', 'if', 'or', 'because', 'as', 'until', 'while', 'of', 'at', 'by', 'for', 'with', 'about', 'against', 'between', 'into', 'through', 'during', 'before', 'after', 'above', 'below', 'to', 'from', 'up', 'down', 'in', 'out', 'on', 'off', 'over', 'under', 'again', 'further', 'then', 'once', 'here', 'there', 'when', 'where', 'why', 'how', 'all', 'any', 'both', 'each', 'few', 'more', 'most', 'other', 'some', 'such', 'no', 'nor', 'not', 'only', 'own', 'same', 'so', 'than', 'too', 'very', 's', 't', 'can', 'will', 'just', 'don', \"don't\", 'should', \"should've\", 'now', 'd', 'll', 'm', 'o', 're', 've', 'y', 'ain', 'aren', \"aren't\", 'couldn', \"couldn't\", 'didn', \"didn't\", 'doesn', \"doesn't\", 'hadn', \"hadn't\", 'hasn', \"hasn't\", 'haven', \"haven't\", 'isn', \"isn't\", 'ma', 'mightn', \"mightn't\", 'mustn', \"mustn't\", 'needn', \"needn't\", 'shan', \"shan't\", 'shouldn', \"shouldn't\", 'wasn', \"wasn't\", 'weren', \"weren't\", 'won', \"won't\", 'wouldn', \"wouldn't\", 'both', 'in', 'been', \"can't\", \"here's\", 'get', 'her', 'ours', 'but', 'against', 'had', 'no', 'other', 'own', 'are', 'a', 'we', 'before', 'its', 'can', 'why', 'itself', 'just', 'since', \"i'll\", \"won't\", 'www', 'because', 'who', 'at', 'then', 'such', 'same', 'does', 'out', 'more', 'otherwise', 'these', \"they'd\", \"what's\", 'they', 'too', \"why's\", 'there', 'his', 'your', \"he's\", 'if', 'nor', 'which', \"when's\", \"she'd\", 'k', 'shall', \"weren't\", \"who's\", 'whom', 'yours', 'how', 'when', 'she', 'by', \"it's\", 'having', 'further', 'ever', 'hence', 'of', 'again', 'into', 'through', 'than', \"she's\", 'them', 'r', \"couldn't\", 'that', \"don't\", \"where's\", \"you've\", 'so', \"i've\", \"hadn't\", 'some', 'therefore', \"you'll\", 'am', \"i'm\", 'doing', 'else', 'myself', \"we'd\", 'very', \"didn't\", 'from', \"shan't\", 'were', 'could', \"we're\", 'being', 'do', 'during', 'like', 'ourselves', 'as', \"mustn't\", 'off', \"let's\", 'herself', 'above', 'my', 'while', 'few', 'or', 'was', \"we've\", 'once', 'what', 'their', \"doesn't\", \"that's\", 'cannot', 'where', \"isn't\", 'himself', \"we'll\", 'yourself', 'not', 'did', 'would', \"they'll\", 'over', 'should', 'be', 'until', 'down', 'our', 'those', 'an', \"i'd\", 'themselves', 'me', 'with', 'on', 'under', 'you', \"shouldn't\", 'below', 'ought', 'the', \"there's\", \"they're\", 'also', 'any', 'theirs', 'com', 'only', 'after', 'here', 'i', 'about', 'however', 'between', \"wasn't\", 'up', 'hers', \"hasn't\", 'to', 'has', \"you'd\", 'for', 'most', 'each', \"he'll\", \"they've\", 'have', \"he'd\", \"you're\", 'and', \"wouldn't\", \"aren't\", 'he', 'this', 'http', 'is', \"haven't\", \"she'll\", 'all', 'him', 'it', 'yourselves', \"how's\", '!', '\"', '#', '$', '%', '&', \"'\", '(', ')', '*', '+', ',', '-', '.', '/', ':', ';', '<', '=', '>', '?', '@', '[', '\\\\', ']', '^', '_', '`', '{', '|', '}', '~', 'https', 'website', '.', \"''\", '\"']\n" ] } ], "source": [ "nltk_list = stopwords.words('english')\n", "wordcloud_list = list(set(STOPWORDS))\n", "punct_list = list(string.punctuation)\n", "my_list = [\"https\", \"website\", \".\", \"''\", '\"']\n", "stopword_punct_list = nltk_list + wordcloud_list + punct_list + my_list\n", "print(stopword_punct_list)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now we use our stop word list to remove the stopwords and punctuation from our text." ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "0 professor (anthropology sociology)science tech...\n", "1 senior lecturer (sociology), director educatio...\n", "2 senior lecturer (sociology)political religious...\n", "3 lecturer data analysis\n", "4 senior lecturer science technology studiesscie...\n", "Name: position, dtype: object\n" ] } ], "source": [ "df['position'] = df['position'].apply(lambda x: \" \".join(x for x in x.split() if x not in stopword_punct_list))\n", "print(df['position'].head())" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Tokenisation\n", "Tokenisation is the process whereby convert our text data into a sequence of words or sentences.\n", "\n", "For this, we are going to use the word_tokenize() function, which comes form the NLTK package then tokenises our string; i.e. breaks it down into a list where each word in the string becomes an individual element in the list.\n", "\n", "Here, we are going to create a new column in which to store our tokenised text data.\n", "\n", "We'll then loop through each row in our dataframe and use NLTK's word_tokenize() function in order to convert the single long string that constitutes the document text into individual strings, or tokens. We then write this tokensied version to our new token_doc_dict dictionary.\n", "\n", "In order to make this work, we are going to use a for loop to loop through each row (document) in our dataframe. We'll then save the output for each row to a list. Finally, we'll add the elements of this list to a new variable in our dataframe." ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "0 [professor, anthropology, sociology, science, ...\n", "1 [senior, lecturer, sociology, director, educat...\n", "2 [senior, lecturer, sociology, political, relig...\n", "3 [lecturer, data, analysis]\n", "4 [senior, lecturer, science, technology, studie...\n", " ... \n", "113 [honorary, research, fellow]\n", "114 [professor]\n", "115 [associate, member]\n", "116 [graduate, research, assistantanthropology, so...\n", "117 [graduate, research, assistant]\n", "Name: tokens, Length: 118, dtype: object\n" ] } ], "source": [ "token_list = []\n", "for i in range(df.shape[0]):\n", " token_list.append(TextBlob(df['position'][i]).words)#\" \".join(x for df['text'][x] in x.split()))\n", "df['tokens'] = token_list\n", "print(df['tokens'])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Lemmatisation\n", "Lemmatisation is a more effective option than stemming because it converts the word into its root word instead of merely removing the suffix. In more fancy terms, it therefore makes use of the vocabulary and does a morphological analysis to obtain the root word. Thus, lemmatisation is more widely used than stemming. This is also why we created the temporary new dictionary in the last step, so that we could instead do lemmatisaiton on our current main working dictionary." ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "0 professor (anthropology sociology)science tech...\n", "1 senior lecturer (sociology), director educatio...\n", "2 senior lecturer (sociology)political religious...\n", "3 lecturer data analysis\n", "4 senior lecturer science technology studiesscie...\n", " ... \n", "113 honorary research fellow\n", "114 professor\n", "115 associate member\n", "116 graduate research assistantanthropology sociol...\n", "117 graduate research assistant\n", "Name: position, Length: 118, dtype: object\n" ] } ], "source": [ "df['tokens'] = df['tokens'].apply(lambda x: [Word(word).lemmatize() for word in x])\n", "df['position'] = df['position'].apply(lambda x: \" \".join([Word(word).lemmatize() for word in x.split()]))\n", "print(df['position'])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 5. Text processing\n", "\n", "Now we can move on to some actual text analysis.\n", "\n", "#### Bi-grams, tri-grams, and N-grams\n", "N-grams are the combinations of words that used together. Bigrams is where N=2, trigrams where N=3, and so on.\n", "\n", "The basic principle of N-grams is to capture the language structure; i.e. what letter or word is likely to follow the one currently under consideration. The longer the N-gram (the larger the N), the more context you have to work with. Optimum size of N depends on the application. If your N-grams are too small, you may fail to capture important differences, but if they are too large, you may fail to capture the “general knowledge” and only stick to particular cases.\n", "\n", "For this, we are going to use NLTK's .ngram() function.\n", "\n", "As we did above, we are going to use a for loop to loop through all the rows in our dataframe. For each cell, we are going to create a new sub-dataframe where each row contains the ngram words and their frequency. We'll then save this sub-dataframe to a csv file that will be named after the name of the profile currently being evaluated, but with \"ngram_freq_\" placed before it." ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " bigram count\n", "0 (science, technology) 2\n", "1 (professor, anthropology) 1\n", "2 (anthropology, sociology) 1\n", "3 (sociology, science) 1\n", "4 (technology, study) 1\n", "5 (study, sociology) 1\n", "6 (sociology, everyday) 1\n", "7 (everyday, life) 1\n", "8 (life, technoscience) 1\n", "9 (technoscience, biotechnological) 1\n", "10 (biotechnological, biomedical) 1\n", "11 (biomedical, innovation) 1\n", "12 (innovation, public) 1\n", "13 (public, understanding) 1\n", "14 (understanding, science) 1\n", "15 (science, public) 1\n", "16 (public, engagement) 1\n", "17 (engagement, science) 1\n", "18 (technology, process) 1\n", "19 (process, qualitative) 1\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "for row in range(0,1):#df.shape[0]):\n", " bgs = nltk.ngrams(df['tokens'][row], 2)\n", " dist = FreqDist(bgs)\n", " doc_ngram_freq_df = pd.DataFrame.from_dict(dist, orient='index', columns = ['Frequency'])\n", " doc_ngram_freq_df = doc_ngram_freq_df.sort_values('Frequency', ascending=False)\n", " \n", " #Get newfile name ready\n", " profile_name = df['name'][row]\n", " new_file_name = \"ngram_freq_\"+profile_name+\".csv\"\n", " #save sub-dataframe with ngram information to csv file.\n", " export_csv = doc_ngram_freq_df.to_csv(new_file_name, header=True)\n", " \n", " ## Get the 20 most frequently occurring bi-gram\n", " bigram_df_top = pd.DataFrame(dist.most_common(20), \n", " columns = [\"bigram\", \"count\"])\n", " print(bigram_df_top)\n", " \n", " #Visualise the bi-grams\n", " d = bigram_df_top.set_index(\"bigram\").T.to_dict(\"records\")\n", " g = nx.Graph()\n", " for k, v in d[0].items():\n", " g.add_edge(k[0], k[1], weight=(v+10))\n", " fig, ax = plt.subplots(figsize = (10,8))\n", " pos = nx.spring_layout(g, k = 1)\n", " nx.draw_networkx(g, pos, font_size = 16, width = 3, edge_color = \"grey\", node_color = \"purple\", with_labels = False,\n", " ax = ax) \n", " for key, value in pos.items():\n", " x, y = value[0] + .135, value[1] + .045\n", " ax.text(x,y, s = key, bbox = dict(facecolor = \"red\", alpha = 0.25), \n", " horizontalalignment = \"center\", fontsize = 13)\n", " new_file_name = \"cooccurance_network_\"+str(df.index[row])+\".png\"\n", " plt.savefig(new_file_name)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Heatmap of terms" ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "for row in range(0,1):#df.shape[0]):\n", " top_terms = []\n", " n = 10\n", " bi_grams = list(bigrams(df['tokens'][row]))\n", " bigram_freq = nltk.FreqDist(bi_grams).most_common(n)#len(bi_grams))\n", " for gram in bigram_freq:\n", " top_terms.append(gram[0][0])\n", " top_terms.append(gram[0][1])\n", " top_terms = list(set(top_terms))\n", " vocab_index = {word: i for i, word in enumerate(top_terms)}\n", "\n", " co_occurrence_matrix = np.zeros((len(top_terms), len(top_terms)))\n", " for bigram in bigram_freq:\n", " current = bigram[0][1]\n", " previous = bigram[0][0]\n", " count = bigram[1]\n", " pos_current = vocab_index[current]\n", " pos_previous = vocab_index[previous]\n", " co_occurrence_matrix[pos_current][pos_previous] = count\n", " co_occurrence_matrix2 = np.matrix(co_occurrence_matrix)\n", " data_matrix = pd.DataFrame(co_occurrence_matrix2, index=vocab_index,\n", " columns=vocab_index)\n", " plt.imshow(data_matrix, cmap=\"YlGnBu\")\n", " plt.colorbar()\n", " plt.xticks(range(len(data_matrix)),data_matrix.columns, rotation=90)\n", " plt.yticks(range(len(data_matrix)),data_matrix.index)\n", " new_file_name = \"heatmap_cooccurance_size_%d_\" %(n)\n", " new_file_name = new_file_name+str(df.index[row])+\".png\"\n", " plt.savefig(new_file_name)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Term frequency\n", "Term frequency is simply the ratio of the count of a word present in a sentence, to the length of the sentence." ] }, { "cell_type": "code", "execution_count": 21, "metadata": {}, "outputs": [], "source": [ "for row in range(0,1):#df.shape[0]):\n", " term_freq_dict = {}\n", " term_list = list(set(df['tokens'][row]))\n", " for token in term_list:\n", " counter = df['tokens'][row].count(token)\n", " term_freq_all = counter/len(df['tokens'][row])\n", " term_freq_unique = counter/len(term_list)\n", " term_freq_dict[token] = [term_freq_all, term_freq_unique]\n", " \n", " term_freq_df = pd.DataFrame.from_dict(term_freq_dict, orient='index', columns = ['Ratio whole doc', 'Ratio unique terms'])\n", " term_freq_df = term_freq_df.sort_values('Ratio unique terms', ascending=False)\n", " #print(term_freq_df)\n", " #Get newfile name ready\n", " new_file_name = \"term_freq_\"+str(df.index[row])+\".csv\"\n", " #save sub-dataframe with ngram information to csv file.\n", " export_csv = term_freq_df.to_csv(new_file_name, header=True)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Visualise wordcloud" ] }, { "cell_type": "code", "execution_count": 24, "metadata": {}, "outputs": [ { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAApoAAAHBCAYAAADJrRtWAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjMsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+AADFEAAAgAElEQVR4nOy995McSXbn6e+5CJVaVJZGQQOte0Rzh3vL5SyHYvnD3Zmd3X93/8eZ0Y5rxzOSsyPY3dMaDVFaplYhXdwPEVldKADdACqrGxjEh1aGYVdWpHt6pMfzJ74PjDEkJycnJycnJycnZ97gTz2AnJycnJycnJycP09yQzMnJycnJycnJ+dSyA3NnJycnJycnJycSyE3NHNycnJycnJyci6F3NDMycnJycnJycm5FHJDMycnJycnJycn51LIDc2cnJycnJycnJxLITc0c3JycnJycnJyLoXc0MzJycnJycnJybkUckMzJycnJycnJyfnUsgNzZycnJycnJycnEshNzRzcnJycnJycnIuhdzQzMnJycnJycnJuRRyQzMnJycnJycnJ+dSYD/1AHJy/txg1coqa9Sv00KhibZVBMass783SiXx/sGf4r2DT41S8qcaZ86bBzDGWaW8SivlVep5DSx4DUCkL3s9Hce+9oO+Gk+OZa+3rUbj43mONycn5/UnNzRzcuYMq1U3nLu3/04sLb5Lq5VVdOzK2d+bKJ5O/v13/1dyePwVAChjjPmpxprzZgGMWnyhedu6uvGXfGnxbbHUeoswav3wXz4dPZ6eJJ3Ow3hv/5PwnvxnQkhuaObk5DxGbmjm5MwZ4NyhnteglfIyq1avUM+tnf29DsMxuk6FAAABAEJIbmjm/DgAIAjhUs+ts3JpidVqG8CZ/bKXk4zbOo59dPtb5z33OTk5OYTkOZo5OTk5OTk5OTmXRO7RPAOk3iWShzJzcnL+LDFGmzj2lR/01HjSlsPhIQhuAyAlAEgQEAAoAUSCQAEAZ/+bAOBsj8zJycl5XnJDk2QGZvqT/v+IYLTWP/GwcnJycuaLNkr7fk92u5tAkROjFVhWgTBmAaMCaPYvY9b5n4vkcubk5Ly5vNGGJlDKgFJOS8UyOk4VKBWEEGKSxKeu29ZhOCIm5acea05OTs5FMVorNfW70Ok9MkrF2g8GYAkPOLeBMQs4s4FxGxizgTMbhHDRsoq0Ul6m5dLKTz3+nJyc74cLFFyAoAwE48ARCRIgqBWRcaiDJDaRkkYqZdTsb5ACIhA0hBijiUn/nZ/d80YbmmhbRXTdqlhb+bm9ceU/YcFrEEKI7PY2g6+//ad4d+9jo7UkhOQSNDk5Oa8/Wks9nXYSKSM1Hh8nVvseUMoJRQaIlAAyQKAEkQGjIi0c8hr23dt/75RKywRIHjrPyXlFQQpYqbN6uc4WSlVaL1Zo3bLRoRy4P9bDk/14u3eSHExHekgImcz+jnMQ3AJbK6KkNImWRiKC0nMyNt9sQ9OyiqxcWraurP/S/eC9/4PVqlcIISTa3v1D0u48iA8OPyfG5CH0nJycPwuylKBh9vO9AEUKQnisXFpmjfo1cufW35LczszJeeWgFJBb4BSr1F1Y4VcW163rjSW2Wm/xFadAi1yA1TuRh5QRnsQ6SiITkczQRAQoVWmxVGUNKU0SBnoaBdqPAu0TQpJ5jO+NNjTBsUu0WllDz60TSvlPPZ6cnJycnJycnOcBAAApQadAixt37fc3btvvLqzwjdaq2PCKtOwUsMQFCKTALCf2Oofx7sk+3WZcibPXWb1u3XnrF95/iULtDzry+Hg32TzYiu4TQrrzGOcbbWiibZdppbxGPbcOFHNDMycnJycnJ+e1AIAApcDcIpZvvOP8/C/+tvS/NRb5WnOJryISatLXpC8FAjv32ZeOix7l8Ji9s3zNuv3Rb0r/azBRo8Pt5CEXvj3oJMckNzQvDtp2iVUra+h5Dcg9mjk5OTk5OTmvCbaHXmtVXF27Yd1du27drdRZa9yXnePd+JE/VkN/rIaNZbG2cdt+71nXMISQ6VD1j3bjR7aDbqVBFyoN1uIWvnQjh/O82YamY5dZtbpOPa+Rh85zcnJycnJyXhdsFwur16w7tz9wf7V63bpTqbOF49340b2Pp7893k+2OofJ7p2fuX9ZbbLlZ17EEDIZqv7xTvxocV1cayzz9UqTtYQFczM038jOQICIwBhH2y7TUnERXacCmIfOc3JycnJycl4PhIVOfYmvttbFVSWN3HsU3dv6Jvzs/ufBH7e/Db842okfDXuyLRMTPesaxhgThyYYD1RXJiaxHfRsFz1kMDdH5Jvp0USkQKkA2y5hsdgC2y4TxDfzs8jJycnJycl57RAWWLUFttxc4uvdo2Rv90H05cMvgo8ffhl+HPp6qqRJwqkeK2kk4yCedZ041qE/VkMlTSJsdCwbXYpA5zXON86jCYiIlijQYmEBXaeKQnjAmCB5a7WcnJycnJyc1wSkwNwCLbpFWoojE7QPkt1BRx5NhqoXTNUkjnSkpJHGkO/Vw9SKKJmY2BiiKQNGGTDA+WmZvXlePACKjlNl1eoadd1q5snMjcycnJycnJyc1wZEglyAxQVYSWSicV92o0D7L9PNMLNFAZEgAEEyR7vozTM0ESm6bpXVqxvoOlVApJB7M3NycnJycnJeM4wh6f+lhuJLtfJhHITt0gLjwJU0UkmTGEPm1qzmTQydU/TcOqvXr6Pr1skc8xBycnJycnJycn4MtDYqjnQQhdqnHHihwuqWgy6Q53eeAQA4HhbrLbZsOeiFvp4GUz1R0syt9fafhUcTACAt8EFGABlBpIBICUL2b9bDlyJjC40iX2jeYgvNW7RQaALiE4YmcGbTUmmRNxs3jJQxX2jGFxmfDsOR9oM+USp5GZf28wIAQACQUGRAGQdKBaHIgVJGIPssCACBxw4YhhijjTGaaK2I1tIoJY3SMZEyNkrFxKRc1rhfFEAEQlEApRzwtE8zI9laZx5qTCVqz3zh0imcma/RxGhFtNFGa0m0kkbpxGgliTbSKKV+1HnN7mNGRbp2jANFQRARACgBQAKA2YsJMcZka6OJ1pJorYzSiVEqIVJGRqmIZC+Zy/go5WhbBRDCA0r52QI6kySBieOpSWRopIyN1qefXXZfQjonyk/nN/uefjevs5ujJsYYc3pPakm0SoxUsZEyIlqrn+qeBErT+y2bC0HKgCIngBQQMO0Hnt176RgN0d+tk9FKEqUSo1RslE6IUvLs55UzX7LvFQNK0zWjVABFRrI9A9L7b7ZnnH6v0n2C6GxfOLNmKknXUf+k7YkBAM58nzihlAMiP/O9+m5Ol5UeZozSfjDQYTAkhmij9el3Mv3cAYFxBx27DEK4T/x9+rxJTBxPdRiNjVJzM26+D6CUgRAucO4CZxZQ+kShjEmSQEfR2CQyIkrFP/V6Pw0liZyO9XAyVH0uwGossbWjHfrQKWBRWDiViYn/8h/K5/8svTEoIBdgFcrUqS6wpYUVsWE54E6Gqj8eyK6MzYXsnrO89oYmIAJBpOjYZXScCtpWESyriJZVBNsuomUVT/+bbRXRcSqsWlmn1coa9bw6eYqhSUvFReetO/8ollpvG20UMRe7wcKHW/8a3vv2/1HjyQkAXN4DEpEBYxa6TpWWii1aLLZowWug69ZACA+FcAmjFlAm0ochMUQraaSKsy/VRAfhUE+mHTWZttVodKiGwwOjdEII+VE2gB8CKKVAKcNCYSEt6HJr6Dk1dJwKOnYZhXAJpQIoE0CRP6aPqrUi2kgjZWRkEpkkCXSc+CaKxjoIhzoIBmrqd7U/7ekwGgHCyOjLWSuTGrwmM0QIICJBRHTsMi0WW9n6LWLBa6IlPEiL1ixgzDo1NmeGZRL7OozGJgyHajLtqMmkowajfTUc7hutJZnT2qHjlMX66s/F0uI7WPAa1HPrs98lx+178eHhF7Lb31LD0T7J+uh+dwik4vSeLBUXsVhooW2X0BIF4NwGxqzsuwjEGJ0azDIxUTQyYTRW02lXT/yOHI0O1WC4r6NoDIjqx978AQDQdUroOBUsZveg59Wp69TAsgqzNcoMcZqukUqMVJGRMjJBMNB+0FeTSUeNJ8dqOu3o6bQ7+7xyLgFEio5TRtep0nTNWum+4dZACBcZs8hszQDQKCWJ0km6T8hI+34/W7MTNZ4c6+m0o6d+jxAS/FRTyvYLSgteg5ZKS1gsLNCC10DHqaJjl1CIwulBCJACIrsMU1OH0Ti8//D/DR88/BcjVQQA8enzjVIGnDm80bhu37j2V3yx9VY6+O9GoqZ+V0/9bnxw+EW8s/dHQkhn/qN8EnScCl9cuMObzVu0Vlln5dITOpPJcftetLv3H7Lb29KTaZsQMv0xxvYixKEOu4fJ/vFeslUoY+36286Ho77q9I7lQfc42R905cnZz5sQQggQAlluZ3OZry+siCvX7jofrN+y3/bHaniyl2y395PtMNBzm+9rb2gSAAqUclooNFmtegULXpN6XgM9r4EFr0EL6f9O/3Xr1HEqp6fbZ0ALhaZz68av5zhGjHf3PtZTv2eM0YR8fwXYC1+eUkoQGTp2AW27RMvlVb7QuMka9WusVttglfIquk4FHadyeorLDE0jZayTJNBhONJTv6tG42PVH2zLbm8rOebfzE6bKISfneR/dE9SenJHBkgZ2rYDnNusXt1g9fo1Vq2s0Up5hZaKS7RYXKCuUwXOnfSHpQZMhlEqIUonOo59E0UTHYYjHYQDPZ121WhyrEajQzkY7MrBYE8Nx4dKGwWMRUQpOY85n7nGLKPGpJ4+RODMAs5dWi4t8WbjBm82brJm8warV6+i61bRcaqnBmfmgTFKxTqRoQnDkZ5MO2o0PpL9/o7s9rYSfmwbKSMTx1NgbEq0Vhf1mqFtFcXK8vvOW7f/O6/XNlittjH7XXj/4b8ARUaUTrTv9wghE0BEwigHLhy0rRKr16+l82rcYM3GTVr0mtR1q2hbxVMvKQEwxmiTJKFJkkBNpx09mXZUf7Aje/0dPGnfS4wxajw+1nEyBUojYrS+rAMBIdlhFgABkYNtW7RUWqSV8gqr166xRv0aq1bWaaW8Ql23jpblgeAucO4QSjnJPLA6jqcmiqdqND5Sw+GB7PW2kk7vIfR6mwoA0bLMzFP2qkUQXkcAEQkAAqUcHdulldIKq5RXWb2erlmlvEpn+6I4XTObANCZ19zE8cRE8VQNhwdqONpPut1N2ek+lL3+liQE0BK91NP+461ZNi8KQtjAuUOr1Su81byd7vXVK6xcWqaF4gK6ThUEd4Ax+zSScAm1CGoyaZswGkXbO78nxmgjyakXDBAoMG6zamXNvn3zN86dW3936m3NkP3Bruz3d4BSIdudBwDQ/TE+R3TsEl9afMe+cf2/ipWl98Vi6+7sd9n7m/Db+/9DR9HEhOHIhNGIvIqGZmSC9mGyc7gdPbz9gdtcuWrd7hwle71jecAECG2Itl0sUAosNS7Rsl0seEVaMZrolWvW7at37PfXb9nvtNbEta2vgz8d7UaPTvbirSg3NFMAEUEIBx27JNZXf27fvP5rdJwKCuGmG4dwQQgPBHez/+YQRHbqEXrNmYXKaaW8wqrVNVavXeON+jVaLi2nBrdbT728dgk4t4Ezm8zCzZmhCQCIqeHNkQsXXbdKy6UlttC8zVeW37NGoyPZ6T2S3e4j2R/sZd6qH+0kD4gIluWxamWNVStrtFpZZ9XKGi0UFrBQaKJjl9G2S6kXW3jAmZ16kyibhZFOr0VI6v1GoIYxCyyrgJ5bM6XiIqvFGzqKxjoMhzoIhslJ575sd+4n7c4D2ek8IIT4c5mQMcoolRCjFTHGgBAe2laRNerXxWLrLVavXaXl8jItFVvounV0nQpwlhrOWdhvlg6QWj9ADQIDxmx07AotFZdYs3GLLy++Yw1Hh8nRyVfx0dGXajw5AcZ6Rsq5hUPOApxZqTFsFQEpQ84t9LwSLRUXxWLrLbbQvM3KpWVaLi+j59bRc2sohAecO6ehv8yjCYYYAgQJpZwiMrTtEnpundZrV/niwh11Ze2jpNN9mBwef5n0eluZd2l8KfOilIFlueg6Vd6oX2eN+vXZfUhdt5YeAuwy2FYJuXCAZQ/1LCxrGBGAQBGRkTRMZ9OCW2fVyhpfWnpbjcfHqtffkb3+VtLpPJS9/paJ4il5BR9qrwvAmADbdmnBa7Jm4zqv167RamUtPXC7NXSdKtp2Kd0XzxhiqfMBCQMCiNRQyoiYrVmhSWuVK3pl+T01HB3K/mBHdnubstN5KAfDvWzNLnVfBEopem4NPa/OWwt3eGvhDquUV2mpuISeV0PHrqBtF2ffK0Lx9D68zHE9C6O0JHE8VdNpVw2G+3Iw3KWuWwfXqcxeg7ZVYpXKGi2XltFzazAeHwGl4WWG0AEA+PKixyrlVdaoXUPnu/EQQsgsRUJP/a7sD3bUaHxkkuQn815/H6Gvpwdb0X0Agm4BS6UqrVcarPWLXxf/cdR3Phr1VGfpirhRabIWUsKuvWV/WChjNZjqsUxMUm2yxWqTL1oOuu39eHvnfvTV5tfhp4c78cNgqucWZXmtDU0CgMC5g65bt9ZWf+F9+P7/CUJ4WR7iY6/8iUZ4uWS5baxcXrHWV39pXVn/SFxZ/4iWS0tAHzOynj1/RA6MEbCsAvEIoTNv66lXSYbR5ta/R5tbvyWIf9S+3yU/kqGZhV0RLavAF5q3xJW1j6y11Z+JtZUPZ17LM4eGH15jSikhhANjNliP/ea7E3SWmxXt7n8c7+1/QigyNRzuk/kYmoZorYjSCUm9iwYs4dFisWWtrf7cefvuP/LWwp3UG3Gaz/Q9a0cYEGqBEB5xSY08sXZJEHz1zf9tjFHEEGOiaEIIuRRDkzBmo+NUwLaLhCInjFq04Db4QvO2c/fW31s3b/w12nYZHbucGcrfu15AkQMnDrGtUvaf0rlJGZk4CeKDw8988bVrlEqkVDG5LEMTkaFlFVmlvGpdu/qf7RvX/orVqhusVr1C0rzZ05c+fR6UEkoJcO4QQggWvAb5bp2IDsOh6g93k+Pjr4N79//ZRNFEpR6V3NB8SbJc4hKr167aN67/tXX1yq9YrXqFVcqrJD2fnb70qX+PhBJCCRDuEkIIFgoLhBDDCSHEGKOnflcOBnvx3sGn4bf3/9nEia/S7/Pl7osAFD2vzhv1a87tm3/j3L39D+h5jTRd6DRf+pV51mXGohSLrZ4cDPdUf7ALlHI8Y2iCbZeoZRVpqbQ0S/Eian7pPueZOWeQC5dVyqu8Ub8OnD+WOzqL4qnptKP6g101Gh+RVzTCEAZ6ergV3ffHalhbYEuLa+La4rq4dvdn1l8abYxMTIwUKBNgaW3UtbftD67ctt/hFticg0AEBCR4sBnd39+K7+88CL989FXwafdY7mtl5paW9HobmjOyggijtIT0Jn02QAgBQPNdAjicDymcFsaY7IO+6C2m0tDKHK5ECEkr54ExwZcWb/GFxg2xtPQuX156lzdq19B1qjMjE17OcwskHSikQvaIrNG4keU5VWjBa1rrq/dkt7elUk/S3AFKGVAqWK26wJrNm7zVvM0XW3f5QvM2q1ZWQQgPEDkBmJc01XfXACBGa2OCYCi7vU09mXbMD91Tz0ta3CKNUglwbtNioSWWFt+xrqx/xFeW3mO16hW07RJQJuazdoB8sfWWSwiJCl4zoshpsbCrw2hkkuSZLcleBmDcmt0ftJjmYlob6x9Zays/50uLb6NjV7LQJL7kmqVzQ8pBEEKrlTX7+rW/QtsqRZvb/5NVyqDDaKzDcC4GJwpug22X+FJrla8svy+WFt/hrYU7rJbKol3g+3U6FwJAgHMbi94CM03tGGNYubQU7x/8iTfqf9JBMNRBOHwVixBeRdCyXLCtklhZvsZXlt47XbNKeRVtu/y0ws8X4Ls1E+nhUCwtvg0UGatU1uL9g09ZrfqVDsKRDoLhfGaUvTFjgnpuTSwtLon1tV9aV9Z+yVsLd9F1qsCZTRDZ7F7MiucSI2VskiQwiYyIMdoQYiDLzwfObODchufohpdeI3U4GClDk8jIqDR31SQyVJNJO+l2H5G0QO+p+6SO46ns9TaT45Nv0LErpFpZP50bIYQAAHWdKm82bhg/6Ced7kNCSDinj+8x0gioU03TJtxqFil67HPQvt+VvcGOGgz3TZIEr3Iqi9HGIIIOpnqy+XX4J62MXLpi3Vi6Et0slGnFLdCy7aJnOegCEpTSJEoaaQakJ6VJpiPVnwzVYH8z+nb/UXRv90H0lT/Ro3kamYT8WRiaqQcqTd5WsUH5/XM6rUDENEzytIdeZhCQ9ET2A5r6zzFCpROTftkvDKTVuxSEcMXK0rvO3Tv/wJuNm6xRuwqWVcgS2ucTKsE09MIbWS5kqbhEy+VlsO2SDqMRAPQv4wsIiAws4bJ6bcO+feNvrKsbv2Ll8gotFVqz6kpymSd3Y4ya+l3Z7j5Uo8kxUWpeXkBDsupV4NxhpWJLrK/93H3/nf+dViprKLhLsoKEC7/TbO0WW2/xRv0acO5o3++nDwwVE0Lma2hyZqPrVLDgNWmpuISOU7Zv3/yNfXXjL09zFudxKECgBBmySnmVel6DlktLRqpITf0OGQz2yJw8m8C5Q4vFFl9afMe5e/vv7atXfgWWVUAhvNOipXm8D2MW9bw62naJVcorYmX5/ez7NZa9/raO4gkh89Oz+3MGhCjQcmlZrC5/4Lx99x/FytL7YFkF5NydZ/gYOHcoowIdu8zq1Q3eWrgDgtupQTXYAYDRPPdFYMyipdISX1p8x755/a+du7f+Hhi3gJ8WBp5V1tAmSSIdRRM9DXo6CPrEGG201mjbpwWx51UjnoVJklD7fk/54UAHwcCE4VCH4SjNb4+GajJpy073oZEyMs/I3zdxPJXd3mbiunXWbNx82vug61T5QvOWnkw7ajw+JpdUFASCe6xcWmbVykpmaNrk3HdZTf1ucnJyT/aHeyZJglfVyJyhtdFIYbL5dfDpwWb07fKGuLm0Yd1cXBfXl9bFtVKNNb0SLXORxvFkYhJ/okeToeofbUcPDnfihweb0bf7m9G3wVSP48jM3ch/vQ1NY7RJZKiDYBDt7n0MnDmEsWf28ySEEKBUsHp1g9VqG7NK9fOGmZ763VkFbVb8cqEiimh75/cmCIeZl/RCNy0I4bBG/TpvNm5Z6+u/5Eutt2mx2DrdPEgasjBKRTqKp9r3+zoIBzqOfZMkflapLNOERQIEKQNGBXDugG0V0bZLsxym2SaWnoCZzSrlFUKAmDj2tR/0CAClrnusfH9wkTmdzi1L4Ge16gpfar1tra3+zFpd+YDXa1fRcSpoWYXzf2NmkiNx7JsonugonhqZhKkEjnlMNgYQaHrIOD3VOyCEi4K7wLhNKHKiVKLjxNeTyYns93e0P+2aZ5zUX2aKBAgQSjlvNm7at2/+xlpd/pCWy8to2yWCQI3MinuCcKTDcKjDaGykjIiUkTFGE2N0JtnF0rELDx27gp5XR9sqnUu2B+DcIZzbrNG4bl3d+JUxxJgk8ef9METOXSx4Tb6wcBsQKdh2iTfq19F1agQRiTFGB8FQh9HIBOFQh8Ew85JEqbSU0Wk1JHJgTIAlCmhZBfS8OvXceiZFw2AWdqepRBItl1bE6vIHOo79aHP7t4B4eFZi5UUBxgRwbvNm45q4svZLa33tF7y1cAcLhQU4V0SokyQwcVZI5wd9E0VjkyTB7KF7ulYANKust9GxS+g4lSynuACMCUIpZpX5HCgVYnXlQ2KMjrZ3/2C0VmjbXZMk/o8tt/W6MMs/F0tLt9I1W/0FbzZuouc1Ugm09PtgjDGZhy7QfjjQgd83UTzVSRJk8jWKGGLSYCKy79bMqaBjV8C2CihEIb0HsjVjzGKGGLG+9ksCQKPt3d9HMonQsqYmSfyLeKMBEQlFzsrlhlhZes+6dvV/4a3mbeq61dlrsj1BqanflcPRgRqPj/Vk0lZTv2vCaGLieGKydKB0v+Mudd0qem6dloqLtFxZpZ5bA84ceMqzU/lBX7a7D2S3tyX7g13t+10TJ75OYt/Eia/DcKSGw4PsO/zU+9MkMlTD0WHi9jbFZHKi43iaGbqnBUroOhXebNxUw9FhfHj0JQDAZRh4aFkFWqteYbXqBtpW+WlRCT2ddpPj9j01GOyZRF6KZ3XeZB5IHymEJ/vJVhyZcNST7fZBsu0WsGQ56DEOPH0tUVGg/WCqx/12ctg/kYf9jjwaD1RXJvPTzjzLa21oGq01UOprpeLowaN/SQ4OP/shbxBYwnNu3fgb+9aNX7NabQMtq3j+tKvGk5Pg62//Kfz2wf8wSsVEqeQi49R+0Fe+35tHxTYI4YmVpfft2zd/I1qtO7xev5qFT07nYLROdBhN1Gh0mBy378lO54EaT070ZHoyy90jaa4SgOAuWlYBC4UFVq2ssVp1gy80b2WeG3LWCEfHqXDOncwYmwIBiHZ3/4MQMhdDkwAgMCpYvXbVuXPrb8X62i9ZpbyCntcAfLpKgFEqNmE0UePJsRoM9tRofKSmfk8HwcDImfcuTVsAxmxg3EbHKqHjVGnBa9JSqWWKhQXqujVAQU2S+CYIBmo8OVGD4a7ygz7Rc0xMR6TAucOXFt+mpdISLRYW0BLFWeMAE8e+HAz3ZLe3Jbu9Tdkf7MxCqESpxGidAGM2cu5godCkldJyWki0+DYwJoAR+yneG2CV8iq5fvW/GKli2e7cJ73+LgDouWlsCuHSYrEFQnisXt0Axi1aKi4RxNTjYozUk2lb9vrbSbf3SHa7m3rqd7UfDE2SBETr5DTn2rZLtFxappXKqlhqvQ2cOciFSwDpeakOtO2SWFl+Hxiz9Xh8HO/s/hEQ9cs+4IFzm3punbcW7ji3b/5GrK/+nDpONYsUPJ5iE8e+mkw7stvblCedb+VgsKen07YOgqGRMiJKS0KpAMYEum6Nem6N1WsbrFG/QauVNaAldubhnspACeGK5aX3WK2yThCZGo9PpDFajVVCCMkNzaeAgjvoenWxvPiOe/f2P/DFVhpWPlM4RwhJLc0onqjJtCPbnQdJu/2tGo4O1WnxR6UAACAASURBVHTaNmE4NlJFxBhNKBXIuT2TQGKN+nXWrN9g5fIKVJh15rCRFhe6TlWsr/6CVsqrxhijhsNDNRofKilDchFvdLpX2FgstsTa6s/tWzf+G7pO9bHXGKONVLHsD/aiza1/i/cPP5Pd7iM5Gh8RrWWa75h9xQEwG2+Fel5DLC+9Z9249lew2HoLPReeZmjq6bSTHB1/He8dfBIfHn6hxtN2qj2cOWCUlkYmEVH6mcocJklCNRofg2UV9Xja1mE0RksUQIhT6Tl0nApbaNxk/cEO2lYxDd3B3DSAZ4BlFVm9tkHrtatg28WnvUZP/E5y0v5GDoZ7RiavhaE5QyujhYW9YKonncNkl4vQQgYMESjAqaih0coopYiSsY6S2ERJbCKlLm9/ea0NTUIIyU75ihBynP18L+jYJb6wcMfMPEVPyZs0SRKo4XA/OT75JtNSu5wCihcAOLfQscusWb/OlxbfFisrH9BSoQW2VZydynQc+yaMxmo0PkzlU07lOLb11O+oqd+befsyTWkEzmwQwkPPrcn+YJf1B7tqMj3h48kxrZRXWaW8YmZemUwjkFbLa2Jl+QMiZazG4xO0reNMJ/BCBjkteA1aKa+KleX3+dLSu7zRuA6WKGAa3jiVnZgl5OvptKvGk2M1Gh+p0ehIjcZHajJpaz/op+K/qdDurPSCMGoBYxZaVgFtq4SeW6OFQnMmhYWWVZxJAslub1OH4XxzGQEAEBnhzJ7pLwKjFkGkeup31Xh8LHv97aTduZ9W+Q931XB0aMJwpKNoTFQq9p0alNxBz63RfmFBjcZHZhr01Hhyi9WrV1mlvEJmazarULetEqNVzuq1q6xSXlX9/o4OozGZUwEDMGqhbZXSYjxjANMUdJMkgRqNj9VodJi000r+VNJksKv9YGCiLF9Ua0kAABi3wRIFWiy2aLm/o32/r6d+l9VrV1m9epUI4Z7NjwTGLFosLhqlZJbesWhSDdTxi0gezUTlWaPe4kuLb4u1lZ/x1sJtVi6vZoL5aQ6cMXqmqyi7vc2k29uU3d6m6vY25Wh0pH2/Z8JoZKSKjdYyFQenHB27go5TlsPhPusP9lijfk036tdppbxKC14TbbtECAGDyNBLK6PF0uI7ajQ+BkqFSWQIFBOizdwOB687szXji60VvrT4jlhd+ZAtNG/NDjina6ZUov2gr32/l3S6j2Sn90j2epuy29tS48mJ9v2ejqJJulekhiYwZqHjlNGxK2o0OpL9we6p6kC5tIQFr4lCeIQQMJQKWig0kQtXrCy/pyfTdrx/8CcdRRNAnL6srBhw7rJyeYU3Gzdn31vynRA7IYSQtGBluBfv7n0cbe/+ITk8+kIOBntqMu0+67poWZ5y7LKRMiKI1CQyFMuL78yKK8/msgKlAiyrYIwxajxty35/90Xnkc3fZ9VqXw6HB6rX3yLl0gpNP7/ZXB3qeQ1aKi7SYnEBXadm0rSRuRh6syIg69pGmVWrV1i1un42QmaMMUbKkEgZqcmkrQbDfT31u+aCTqafgjjSEUlToy6lQPJleO0NzTcFFMLjjfoNsbryQVqUUFk/n1+ig2AgO72H8f7BZ9Hm9m+Tk/a3OgxHJoomM8FoYowiOostAiEkTDsqqfHkRPb628nR8VfJ4dEXrFG/Zt+88Wt0nGoWmjrNBULHqYjFhbeIknHSbt9Pev0t7ft9QsiFkuBppbJm37j2V9aV9b9g1coaWlbxTDVlNkmtiTFKdjoPo939j5OT9r3kpP2tnk67Jk58k8jQKJkYpRNizontAyCBdL6QihlbwLgFgrvoOGWwrCJQKgABk+OTby5hk4HTxH1DBMza0hqjZa+3GT7c/Nfk4PDzpNN7pEajo3Q+iW+UkkSrJK2IJ9pAjASR6sDvq8FwX3Z7m8nh8Ve8tXDHuXv779PcI2YDY2cfGBwAkBa8BqtVN+RgsGd6g20yr0rZzPsCZ7VCCSF6GvTj7d3fR1vbv0u63Yey09s0cTzVcTwlUiVGq4Rok6aUACEEIgoB9tVk2sZu95Hs9B7GO3t/tG/f/I1jiQIt4WKa5pBFLjA9LKHjlGm5vMIXGjdlb7Ct49gnL1K5mnl7WK16xbl5/ddife0XtFBYOPXIztBayf5gJzk4/CLeO/gk2tv/RI8nbR3HExMnAVEy7fZjtE7XKlWG0EEwJGzEsdffjq2DT1mtcoW3Fu6IleX3rSvrf4FW6sWZjYYAENZs3HAyw0INh/smCsfGqJjkns2UbM14s3HTuXv778Ty4ruY6iQ/tmZGykh2ug/jw8Mv4t39T6K9g09MEAx1FE/Sg7eKs++XJoZkefxAtR/0gVIuu/0tsNL9ly8u3BGrKz+zrqx/hJy7Z9cMGLV4q3UXOHeIMUZ2e5tKqhgQzct42NG2inyheVssL71Li4WF80YmIYSo/mA3vP/oX+LdvY/jw6PP1WC4r5P4exUyUhH6oJ8ct++luZzTLgru0HJpedax63QMhUJTLC++qwbDvXh75/cvOofz76sGg9344PBLgchppbxCZuuUpgI56Lo1Wi2vsUplVQ6Ge2ReRUFpagpD2ymzTOoKhPguFcsYbcJwrLIDv5pMuzqKJkRfTij5TSM3NF8DABFYtVJizeZNsbryM16vXX0sT0embdFUf7gX7+1/Gm3v/D7a3vmd7HQ3s3aLz+/ZYYynHsLxEbpujVUr67RUXKSl4iKhFAkhBNO8P4eFtQ3WaFzn3f5mkhp0L2VoAku1PZ237qyLtdWf8cXWXep5deCp2Prp+LWWajJp68m0He3tfxJtbv17cnzyTdLuPjRRNHrZ3Ly0HVmWr8nTwhU1mXbInNsCZqdqSgg53chV6rHrJYfHX0Vb279L9g8/k8PRwXNWrqbddxhrq+HoQIfhiFbKq6lnr7AIxaJ9+t5Ze0507ErmqV7VU79LCGnPZW7pw+l0XjqOfe37Pdnu3I929z4OH23+qxqODuRgePCclxwCAKjJtI2iu4kFt8EbtWsEAGmp2AIqGCGEAAASShEFd2mx0GL1+jUdRmPSH+y90PiFcDENq13lK0vv8WbjBtpW6Ww1r8kaG8jjk3vR5vZv4/2DT+ODo891GD6P3txjckWsVOzM2tKi69bQtopg26UzXhaghcICCuGp/mAv3q9+qsNolGmGzkfT9TUm09ctZBq018TK8gesWllDIdwznkxpkiRQ48lxfHT8VfRo69/jg8PP4oPDz4x88XQYVq30s2YEhHpePdXrtEqYSZEZShkrl5bRsSvypP0t29tfI1orlf7NC0dG0LIKrF7bYM3GTXTd2tlc01mXMzkY7sd7ex/HB4efycFgTwfh6IeuO5MdAkqPdRiOAJGKleX3TqXVzoTQ0bHLgFVKy6UVsO0SMCZetv2mkTJU/eFecnj0JSuXl7Nq+DTiku0f6NgVVqteUfXBjg7DIZlTUdAsP5oWvSYWvCY6TpXgmTQ7Y7T2g57s9h6p0fjYROH4VYhk/hCAAIiEIgJonWoOvEzEg1KgSIHOsn61SVt8zGucuaH5igOICIgMXbcqFlt3xdrqh7RYbJ19jY6iifb9Xnx09GX44NH/Fx8cfq4nk/aLGpnpxbQyUTRWo9Fhsn/wWcCZY21c+U/oufVZsdHp2CyryFvN26ehJ0J2XmaOKKwCuk6F1SprvFm/QculJeDMeexFaTVlEO8dfBo92vy35Pjk6+To5Gs1nXZNkgQXKQAhRiuTyJAorVQcB5CFk34M7TTVH+xEu/sfx1s7v0uO29+o8UuIA2stdRz7ajw5SQ6Pvggdu2ytr/1CnLtPCMlCVKVii5ZKS9Du3p/bRM4PKQgG8d7Bp9HO3h/j/YM/yd5gx8TxC2lDGmMMMBZprbXsdB+Gm9u/tbRRaAmPnAm7EUIIAaToulVWq17JKn9fqHKfFrwGq9euskb9Oi0UF8ASBXJW9kSpRA1HB7Lb3Yx29/4j2tz+dzUeH2fpNy+MDqOR7PY2CaUcbLtEjNF8sfUWNq0bp1NiVBCwkFbKK2J56T2SyChWx1+R3NAkBIDSUrHF6rVrrF67SgteAyzhzXKdCUlToGR/sJOcnNyLd3b/GG3t/E81nXafVbTyQ+ggGCTtzv3sUFowSsV8sfUWntG8BcYsRKCsVr0iVlc+JISATr/PL3yfAGcOLRWXTqM7ZzBSBjqKJ2o0PpTd3pYajQ5NIl9s3zBGG5mE2g/6Sbe3xU7a37Jm4+ZZAfNZy1t0nQp66YEoU0J48fteylgOh3uEM4uvLL9ntFZZAeiplxZtu8jr9etqNDmWvcFLPU+eRqoQUNuglcoqWlaBYBppOH2B1kqNxkfJ4dEXajQ+zNouv/IgEmo56DAGIo5MmMQ6RASj9YsZidwC23bR04ooKU2iEhNTColSFyuEnpEbmq84QClPddsKC6xRv84XGreAPp60rYNgILu9reTw+Kt4d/9j2e1uvmweV3ZSDYAxlZy07xmlE1osLoiV5fcNY3aWpJ2G0C3h8Xr9mgmjcXJ88s3LVAoCIrBapcxqlXVWra7TSnn1bA/tdFBGmTgO1GTSjg8OPw+++fafZl7XeXSQyHL5kuzn0plVgRJtlOwNdqKt7f8Z7x18qnq9beUHL1xYla1ZhLbdS07a94AxK+3du0pOjeVZribnNi0UFmixuHBeqHgezDRo0/7FR59Hm9u/lSftb9V4fPJS10vzfhPebO4A3/sP6rpVvrhwlxYenxdBoOg6VVaprGai8C9kaGLBa/LF1lu8Xr9K065FbjYfk45DRbI/2I33Dj6J9w8/iw+PvrzIvafjOCCEBKxcIrHgbnqYdKqsXts4VXtIq9A5LZeWxNLiO9oPBlk48Qdz0f/cAURKS8UlMdOfdZwKZqL4p2sWJ1PZ7W3GewefxAeHn8dHx99c5D11GE0IIRNerwlg3AZGORa8Ji2XlrN9EQmjAggVs1xzHYRD2etvkZcomEwLgQoLtFRcAuvxg5WJk0BPpz01npzI4fhQTf3+i14/2zc0q5THajDcSzrdR+h5jcfGkN2DaNslmqmRGKlmOYAv9n5KJek+YIgaj49MFE2IEG7WJjjdnyxRYPXaBh9PjuPdvf8ARPpSDpNzoOOU05bF5TWwROEx73D6WUg1Hh8nh0dfqdHo8FmaoK8ajAMvVljDK2I5CrUfBXoaTPT4RXPU3QIt1RbYktZEJ5EOZ/JHZE6pVbmh+YoDllVkteoV1mjcSL2KTJw9tRNCiBqNDqOd3T8kJ+17Oo6mcykWyMLURimphsMDE0Vjk7ULPK1EZ8zGUrFFg+p6lhtFX6LiF2mptCxWV39Ga9WNs73JZ5g4CZJO92FyfPJ1cnzytRwM900UT04F9V8/zEyOSfb7O8nRyddqMNjTL+qROH9RpWI1Gh9JwV019btp3uPjOV3AqIWuU0HXqT3ts74wUsY6iidqODqQ7c4D2e48UH7wwg/B8+gg6MtO75FaHB0Y+aTkCEDaQSqr4vdeVLOTFostsbL8PqtXN2ZdfM5gdBIHSbtzP3y0+W+y19+e172no2iStDsPgHGbtxbumCieAmMWYfR0bajr1nirdUeNxkfx3v7HQCmbh4LFaw0iZeXyslhb/RmrVtYIRX7uFUaH4Sg5Ov4q2tr5vRqOnjdl4wfRQTDIxMfLfHHxbdNMbgKj1llpPVooNPny4ruyP9iFbfEHoJQSrZ/LYMo6olH7+lULLauItl0ESh93LkTRRI3GRzoIBhdVxTBKx9oP+no8OX5m1IFRC2ynArZdhiB8uVz8rEJeh/FEjcZHSbv7gJVLy7RUbJFsfsCFS0ulRVatrNOC10TLKui08vtCRZmYCcLTamUdxLkDtjHKSBWr8fg4jSpNTsw8lUYuEbdASxu3rXdWr9t3tTZKxiZ+8Hnwx/uf+38kL+A4WVgVG3c+dH9FKaFJbKLDnfjhoy+Dj0luaL4ZwGmeTv0aem4NWPqFPLthqeH4MN7d/zhpdx5klXoXxmitAaCnp34v3dDCEdh2KRO6p4RkHSuKhQUTRZM0t4eKLOTw/A9hAKCl0qJYXf6A1arrZ42f09NmkgSy030Ub+/+QR6376nh6HAec/zJMMaYOJ6qyaSt+oNd2W7fl8PR0YWvq1SsJ5O2BILaD/rEGGXSQ8F3FQuUCnScCrpOBc4YM/MiLTTw+1mY+VHS6Tyax3V1EAxNHAdqPDrORJQ1AcDvYm6AYAkPC14DxIsZmgAAhV99tMCXFt+m1eo6cGaf+XWarRTHE9npPIy2dn5n4ovpI57FRPFUdnqbAIhyMNrTUTTGrLDkdGquU+Wc27LX357p5Zq02OqNLQrKPL3LYmX5fZqm9Xz3LEsjBlIH4TA5ad+Ld/c+NnEyt5aeOgiHOorH6NhlNRofmigaE7AekweiqYpFITk8/gJtu0gQOTEmJs/THS4rciKM2ZlCxnkZnlSmaTw5NmnnqIsZRUpJHQQDNZm0Tfz0QiKgTKBjldC2iupJo/65yPbzGC0xUaPRkWx37gNFjgWvATT1XSBnNuEFi1bKK1goNMCxSxAYQy5gaAIAOG/frbBG/TqrVFaRi+8OksYY8l0u70nS6TwwUeyTeXWDu2RsFwtrN+y33vkL778CElSJSfyJGj76KviEPKehCQjwn/+hvHLrffcjywVPKyMtF73j3fgRIWQuz9qLdyDJuVTQ4h6tlFdYpbyG5/PStJZEylAHfl8O5y/HkHXeMjqKJmqcnp7PbWqpeDZLjRdaKi2hZRVfqMVglv/DqtUr9Gl6mcboWQuzeP/gs6xrxOuNMVpNpu3kuP2NHI+P5rVmRuu0xaVUsUliX4fROBMc/u7hhojAUvmWeXZLmZF1tNlKev3tTD5pPqTdTRKdyMBE8cTEiX8uvAWAlANnTnYY+sF7EAAAhXDAccroOlXqOjW0Tjv/pG8rZawmk7bsD/b0ZNoxceKb+XWKmj18tU6SUI1Gh/KkfV/5/uPSNIAUGM2KGYotLBQuJe3hdQAQES3hQnpYqlLXrQEXLiHfpUrMJLVkKlHTy5Qb5rovEmO0juKp6g/2kk73kQ7Cx0PjiCxVQ7ArtFRcpAWvAeyxA8yzQaTImA2MiayC/skxaCVNkoRGqeSivevS9s0qMYkMnynFBIBAmQBKBcDTx/Tc76eNUsPxYbx/8Cc1HO0/RacaQAiXVStX+MLCHep59ade6DkAziywrCL1vAYrl1ao5zUeO2ArHavx5HimNW2StIHE6xItYAy4V8RyoUxrSWSizlGyNx2poXnBe2I6VqPOUbwXhyYolGi1WKY1xuF7m9+8CLmh+YoDQnisXF6llcoqnO+Mo7U0SSpVoQajfe373cuolDNRPFGjybEOguETJz0ABEoFuk41zSWyii/UnA8A0HEqrFZdR8+tnwuBGWKMNnHsy25/Kz44/LMyNOOTk3tZnun8HoJKKaNkZOLEN1GmFXt20wSghDELGLUA59Dq8hw6Sg3NtH3i/AxNo7U2UiYmSUIdRVOTxP5jhx4AIBQ5cG4TpPy57kEAOG2d6bgVdN0qCFF4rFOYlJEeT9uqP9hVU7+ro2h6Ub3Yp8zNpN1ThodJO5XqeuwFmK4Z2laZlgotWiwsgHgivP9mAIDAhYOuXUHXraLr1EBw96yQ/6l262Cwp3y/p6PYn0cu91mM1sbE8VQOBruy2330hEoEIiNZVyFaKi6mBs7zpaoAIgXOLEwLcZ5+GFQ6ITLtaETIBdM4jEmDrjJ5Zr/yVBeXCkLZxVvkaq3UaHQQ7x/8SQ6GB08rvAHOHVatrqeV8O7LG5qUCbStAhbcBq2Ul7HgNcjZqFmaN3os250HejI5MVKG875XLhPKCHNLtFIo02oSm6hzmOxOx3pozPNHFY02xp+oYecw2Y1DHRTKtFas0BrjMLeIV25ovuIA5zYW3AYteA08G9Izxug48ZXvdzOx4YTMKZx3njTzI5oSKcOzupRwCqYdXRy7lEoS/bBHM/VMWB713BradgmEcJ/o5CFlrH2/p8bj47TFXzw18vUT0D2PMcakrdtGBzoIhy9bBfvsN0iT200iwyx/66yhiYDICFJGLuiZeOpbJzJQk0lHTyZtk1xCV40sn8pIlZDHKyshlXCisxzmHzY1ARBsu5RJ0pRnLS7PeuSN0on2/Z4aTdLihctCq0T5QU8ORweZJ/h0zU6/ZmkhV5MWCwv4ZB7pGwFQZOjYFVYqLc60R59YMylDPZ121GTaNvELKji8AEbKSE/9rhqNj87nNp4OSgiXloqLWPAaM7m257q2Id/vlMo0gZ/odf4yAEn3cDy93tMGpNM2k1oRckFvnzFaB8FA9vrbajQ+1L7f13GcCttnIvwguENrlXXeat7Bwst7NKnn1nmzcZOWUiUTOJtuQwgxSkZqODqIj06+VpNp+8dQGpkngICcg+ACLCVNMh2rYRLr8EWnIRMTB1M9UdIkXKDFBdiI87MPc0PzFQYAABizqec10PMa54oUdNYCr6ujeGIusTjAKJ3oJPbNrN/2kwNF4NwByy49d94fAKIlPOp5DbStMnDmZHIyZx4YKlKnOaJpS8nXpRrwezFGzySkTBgOX7ZzyPe9Q9oaTkZGaUkec2gCEKQs9frN36NpZBKqybStptPu04p2LozWmiiViaKfuxcBWRbao8/17AXArN3lCtp2+WkeXqNUrPwgPezMMc/vyffRUvvBQA2znL+nDTdtO7pAi4XWEwUNbwpI2Sx6kuUuPrHQJpGhmvqzw84lGpoqTgW+J8c6enoRDQju0VKxdd6T9v0XNmbWnIE8K6czzeNk6aHqYnZmJlDPCKWcPCPKkapJKEm0khcthDNaa+0HA9kf7KjR6FBN/a6J4unZvf2sR5N6XuOF0rHOgJ5XZ63mbVouLT+txaaRKpaD4X58dPyVGk9eP0MTCDIBggsQShoZTPQoiUz0oukUMjFJFOiJUkYxAZwJFDjHiFdeDPSKApQy4JyjEB4I4QFnDsHHuuRAlgNUFitL75vo7Unh5x/+oFjvy2DfuPYebzZvouc1z2tppiMhAIwKFNx56u+fBgCCEC66bg1E2sf6vPahUTJtHTeZtk0cz60A4xXAmDjxdRaKnX/1vEn7dKbXPb/hAABgtnFf8An1lHeWKjZhODRBOCRyfrmMp9fPHMJpuPCxqcHMG/LchUAAgIJ71PPqkFaqP7mxKiVNGI6yXL9LM1qIyfRrp9OOjpOn62RSKtCxy+i6lec2Wv7cQKBoWQX03Hp68H5yqY1SsQ6CofaD/svqnD4PRqtEh+Eobe379ENV2jrYrWVFXM+V82aMUUTKyCRJZKSMjVIyi0Sc3p+zbljAhQv4jPD6cwKAFCzLQ8cuPzO8r5TUcTLVaSHchQ/GM9F49/13T2S78wAYs3nazcwihBBATCWVisUFWiouYqm0iLY9MVE0eV6HCgCAffd2I2slu5xpggIhaQMGonS6fqPxkez1t3QQDF6X3MwzGKPTH6QEGQeBFOiL7uyIQBkHQRlQyL5U8/wgckPzFQUochA8MzK5DfScByrzxgDnDt66+d+s1ZUPL1x9+AzQtotoWyXgws3aXp4bLCBQyoFzJyvmeZ6wJQDnLrhONe2x+xTPRPrA6KvptKsv8yH/Y2OMMUkSat/vmyTxL0+myWQ/Z/cMmP0zdyOTEJJWvofhWEfR6PL6BJ/O6wlexPMBQNKUj9N78CkeTa2ljqKJDoL+XPveP/E+RmWNF/rPMmhneoZg2+XzWrpvCgBAs5axFeDMfupdrFRiwnCkg3BILtHQJEpLE4ZjHQSDrOjuyfFSaqFjlzFtb/t8h3CtpUmSwCSJn+UMxtnfzu5PACFc9NwG2laBwAWL+mhq1KHr1Z4i7UUISfdiE0ZjE0WTeYqZ68mkHR8efYm2VWLl0hKxSYkQkhYtcubMiqlYvbahBoN9laYoPLcNRD2vwRcW7tByaZmcNfS1VjqJfe0HfTUaH6n+YM+oS7xXLgljiFHKSKWMZAyFW6AlLuBUl/R5YRy47WKBcbCMIUZrosgcbc3c0HxVQcqAcwc4s4Eig3MVwgAAaVEHs9CyCqRaWfuphkoIzJLF+XmNz2f+BQCmYxf/P3vv1SXHsWWNxQmTmZWZ5avawxMk6Dm8Y+5cfQ/fpzVLD/qzepAeJM1oNPPNaGlG1/PykiA82pc36TPM0UNmNRpAA5cAqmFrr9UkiC5WRlZGRZw4Z5+9/YVk01PQRmGWRybN5mSJnb5vA1CpvOCcqvwd1gN9CmiMxlwmmMvkNdAcXnEhBEI4t8C2/YLycUaQilhYT2Z5RLQ5vzmIaFCpDLM8PKMLtxgtpRwsUaGWcOElJWbeeRTrhgOW5ZFnZAjRGGVyGT/VMLZsGKNRqgTzPCLPaCApDTdcsETl566NpcuZcq5cjk2cTEwcj6lTqZ8OVKlleaxaXSuDzSoVwkat5YtWfQAAeKvpsKq/zpuNi9Rxak+MRRODGvM80nE8MWk6I3p5Dac6jIay1/+RN+rbYmvzS1qshbCwlgXLqrB6fUusdz8hSmalHupz77HcGy1wHIf5Xpc36jvUc5unPz9Uumjym073dRQNTJouTyHjNcJo1GlswjQ2oV0Bt7slLh4+YLcZB04pKPMXRNuBAlAg9MtfevX2htipeMzPM0yy2ERaLa93YMXRfEsBFBgU3cHnwqVbMuCEM/Tzx1p0CXPuEErFMzd5pTIiZYLviK7ZzwQSYxQqlZIiO/CulWueDWN0waF88U3vtQMIAKWccu4AZfzMHAAiotYStcoQl86lfew6RBuJcsGrPeM1FCgwbgPn1nk0cr0TAABgTFDObXicSvQIBg0WczDHF7TiexGcyAIplSM+Y31arOOMvfAzM1Imej4/VpPZvnmiEQ0cu8rq1U1Wq20w318Dx66dIVr/XJTC8BQsyyv4kN1P6JOubNpIlHlsknRmomhQ0BGWd+g3UTSUvf7NE4vaoiz/qBGOMYs3Uj8uBQAAIABJREFUatvW5saXrFrd+Fn7CwCltl0tpcC61PPa1Ho884t5HqvJZFf2h7fMS7gqvS1QCmU405NgpiduldUvfux83loTm8ICmzLC/lKFhxaMfd7o8LUL1+wbfp0141DPw5maKIlLe86rjObbCkoZcG4Rxq13INAkxdkI6M/pOC9eXmZoig3jTE4JnshuqIwsv2HmzQHLzJ/SOTFGv2oT51uFcvMlWj/drPPWAWAxB0v+89P0jbLbFs9R1WFxITRaoVY5QaOLvfaJ4SwoKoxZr8rLe3dRNLM9Vwe2bFwpNCaXrOjwxIVQa0mUzskzAloASoExCxgTT3LQ/+K753mkx9NdNRzdpRWnTmrVDUJK8WLOHcK5zRv1HbG+dgOVytR48gA4nxBj1PMOebDo7LZtl1acBm+3rvB26wpvNHbgCXF4k2WhDsOBngfHJk4mJsuW2hBn0ixApXM9nx+aMBqaWm2L2pa74CADo4LVahtiY/1TeXT8PXBmAaXPvT9CaWFH22peYlV/jTp29cSEoeRgGiljNZnuyv7gtonj8TLv6XVC5phNBup4eCh317atS60dfmXrsnX9wjXnxmyshnGo536d5VoTVVpSIgAAZYRzDqKzJXzXp7XNS/b1jYvW1TzDdNyTR+O+OsozszS62irQfFuxWKAofeEF6t3AyYZhPWuTP8nyqPPeMN4ACk9whUvw8X2rgIjEoH4yM/HWglJGGBNF4HZWVp0U91N0759n4Lz43J59HQBKGBXkSb72hwQgQCgwwp69LiJBRI0ai8/y/OYgEiRoNOJznhkFRhgThFFB4MUqiCZNA9nv/0Rdp8GbjQtkDT95otENeKt5yblx/R+g4tTIvQcMB3inVC14dpBAKQVKBavXtu2dra+tixf+RnQ7H4Fj157k/uog6OX7h3+Ug8Htc5H3Kio7aKJoJEfj+9R1W6TZ2GGLpiRKOfW8DkcktFpdp7btG4MaKM2eFWwCpYzVqutic/0zVvXXzzqQlBnNPTUY3jZLsMh9U8hiEx3v5nf9Uktz56p94/pX7t8KG5yjB/mdo938bjDRozTWoZKYIxKkDLjjUs+vscbGRevqxkXr2uUbzteNjtjYv5v+uHcn+/Phg+xWEpml0QlWgebbitKGrOBmPr0BIiKSQtdMoVI5Kp29qQySSZKpSZJJwWP72WUVIHRRbqf0zDRoIdduCOJ75uuMC106/fZn/V4YiGg0Fr2Qb/8zWwQuzywx4UJuxryo28YLA9EUgcszPrdChoY9f7zvP6BYG+mzNR9JeZBDfGXNx+diIUOE5tnXAQAKrCibv9gjwywP5Wh8Hxy7am1vfW3SbA6CO6cbMlm9tm1blk8o5SZJ5wSN1kE0YL43K+YsmsWsLTKZBJjvO2AJV6yv3bCvXP6VdXHnr1mreYmWhiCn9hatp7P9fP/gd2owvL3sbCYhhdQRIcTYly+O1HB0l/l+l3puk7iVJiGkyE5WnAZwbrNqdZ16Xgd1WWF4FleTUcGq1Q1rY/0zVq2uwemSeXHA1yZN53o621fj8QOTpuei1vI6kKUm6e3nD4QNzvZV+wYi4uYl61p7nW/vbmU/1JppZzyQR9FMT/IMU4NoOAfh1Viz0ebdyzecry594nzpuNRnnIj5RI/27qQ/Hu/l99LYLO1gsQo031agMWUJRJ25iCEaE0UjHUYD2R/ckv3BrXOVX3kOUMpEjae7ejLdU7P50c8MnpCYRdbB6DMKhSWHDlgppP1hZnBWOF+YUgD+GULUhR8BMKCUn4eT0ulLFUHkc0qsiIZoI8/TnOGtR2H+WNisPsPo4NQze7YA+VIAQChlz+WmP6KSnL2OPweoVaG6MZnuZnsHvwfHqYlu57pY614/GQHnFq04NbGx/ikwZumdrW90EPZ0FA0xyyOT53EREBMDnDulLFKT+l6bNxoXRLd9jdXr24/5qSNBE8VjHUaD/Kj3Q35w+Ec1Gj/AZ8luLQEmTiay17/JfH+Nd9vXHvtlqfPJav6G2Fj/nADQUiD/KV4sAAD1XM5q/rpYX7tBq97a6SYslDIp9GrnhzqMhibN5qj0O9dtvoCSmAcTPTreze/e+mP8n1yA6G6Ji2vb4tLmJeuaV2ONLDZRnplEa6IIIgEK1LLBsSvUrTVZ26uy+vBY7g+P5f5Pv4//4+B+/tN0qPoyw6V9LqtA823FKSeGM+2kEI2O4pEaju6mt+/+S/rTrX/UcTI9453OH1iS71XBzfvZ2ccimF5w+Z7+f+CxhfyDzeCscF5ARGM0ap0/x52pmIPshRrdXhzFXOeFcsMzsl+mbD45S6z+gwHiCWf2Wc1ZQIAwyoEVTk/nNpTSZQsofTaVAQu9xlPr3M9G6YI2Y763lx8c/gE4t4Bzm3faV8lCB7fgf1rWWvcTa637iUkLIwgdhMc6jEYmjicEURNEA7ZdBceu8nptizXqO7RSdLJDaXNZrttIjFE6ioZqMLwtj3s/5IdHfzJB2D/PqpKJk4nsD26xRn3HTrNgca0TvV9KGatW18TmxmcmTWdqPHlIzqIHAABhzGLV6ppY734CluWdLp2jVIkOwp6ezQ9NFA1Nmp6f29drgJIoCSFjp0LT2w5189QkX/29/z9uXLCudDfFxa3L1vXygPzYF2FRp1ESc5VjNu7Jw+//M/rX+z8kfzh8kN2J5nr2jEu+FFaB5tsKYzRKmaHW2Wnbx9OAkl9GEI3JZfKkDdprQ5Fl0GVjy8/jUiIiaiNRyvSZHeWlBBKIk2aNFVZYHpAUmotSJkXgcuZhp2jA4dx5UmJsqQACwBgn/Dlz/eRAp3J83zjLPxdIkCgtyfPXDQaMW4Rz+5U1Jp+HIqgRwLn1rLmBplDOKDOwL3U4wFwmajS+TwghwCgniIY1Gxd4s3EBGHusKQo4s6jntgjjFnXddlHlKsv7Czk8x65Ry/bgyUysUpmeB0dqOjvI9w9+n+8f/D4/6v0Z8zw6b+oSyjzWYdgvguTCcphawiULmgAAZVV/3drc+EJPJrv5GS4/wLlFfa/Jm81L1PO6YFleKWl0EmOZNA3UaHRPDUd3TZq9syXzJ6EUyslAHiEiyhzTo938bq3JOtUGbzkV6gkbHMYII0DAGKJlhlmeYhLM1Dic6vHBg/zW4f3s9rgnD2W+vEzmAqvN+y0FGlSoVPocnUUgAAwoFQTRoJQJPsMG7XXgJRYiLDZ5lRKj5Vl8PgBgwJlFxTlv8it8qMATT3ht5JmlzTJDcv6HHQBCmQBRyvacqcJgTOnz/n6pMLwITg6oz7GjpZQCZxbwE9/7c0FRoOeCPK8D3pgi0NQvr5eLsgg0TRgNi7VepfaVS79intsmts1Lx6BixnBuU8YErVSapOyLIuQRS5PAiYPWkx7pWHauP8z39n+X3rv/7+md+/+OeRa+jtIy5jJBqVI9Cw51EPZNnEyAUgaPAk1g1eo6MCbyw8PvztJeBsYE87wObzUuMt/rgGW5T9wjwTSbq+H4nhyO7uE7zM18EkqiZAyOZyM9OHqY37H/I/rX9obY7m6Ki9Uma7tVVhc22EAI0QplHJh5ONOTwZHcGx7JvTQxURabSGtUy9TPXGAVaL6t0FphLmPMZYJKSzRGF+Sj8gQKAGCJCnXdJgjhEgLwLjXMYCFQnWKaBs+0iSucUOrUdVsg+JmOFSus8NJALKxA43iMMo/PPOxQyqlt+7RSaTzTnm8JAEoZtS2PVSrNEymWJ6GNxCwLMEuD83NdesuBhXh46dT0TAclcOwadZzaM80glgFKObWtKqtUnmndiIVT1txkeYjmbFH3v4RyXVfAeaQm011CKadupcXqtU1Wr20xz2ufWJKeGBIikkXT1KM3KjjxSueoVGbyPC4+y3Rmomikg+BYDoa3VX94Ww6GtzFN52jMa9HDXZTtrZ2tuRqN7qlGfRsYFbTi1MuXAFjCpeAC8/0uq9U2mefGJstDVEoSQghwbrN6bbO0S26f5jqjMYYgap0kMzUeP1TjyUOTnkMX/RuE1qgJIZpx0DLDFJFglpi44lHfcqjLOOEABIwmOksxzhITB1M9CqZqrBWqsgx/LlgFmm8pUGtJ8jxGKeMTDhkl7BTTAkBYLvWf49P8NmNhw5imM1QqO6tsCcXJvEFdt32m9eUKK7wCENGgzGMTRWOT52dbgTLKwbarJ5aH5wUARi3LLw5Vz7QBlIXlYTpfpmj2u4TCeeqUVSfiU6IcwJhFHadW+Iuf4+GAMQGOU6WVShP42XMDlcoxTeeYpgF5VetGY5SezY8wy0Jer22xVvPS4l7hVKB5oh9a8EcXezyW6iS5SbPApMnMhNFAz+ZHajJ5KHv9m2o4vqejaGjCaFhQmnT+upMXmGZzORzdZdXqBqtVNwlpXlz8rhS+F8z3u6xe2zZJMi2/B0WgKbjNG/Vtsdb9mD0pPF98LsokyUyNJw/VZLqHMj+35qY3Ca1QUwommKpREuo5MKCUEgal7XBJpDDGoNaKKK1Q4TlL0a0CzbcVC9eJPI9L+aAZ2LYPFi02IQACgjuUOPXSi9x/WRuyNwJEY7I80lE0NGkeEqMVGjRFYafYOYAzm3pui1Wr62DbPjDGyiapdyZzu8JbDERTNk8cYprN8YxAExgTzK00WdVfK0tx5wJglNFKpc5qhVbgmcNVKtVRPDJRNHxTChNvHMYok6QzHQTHpVvO0wdUzm3mum3qeZ3zPKACY1YxN7wuWOLMuYFSJjpcOOq8vHUjUEpBCIc3Gxd4q3mZt9tXmOe1wbJcAsBMks6LIDEc6CDsmzSdE0oZnHIjKhrJtMQ8j0xWZIVNGA0L96HJQz2bH2IuY5Pnb2xumSwL1Wj8QPr+utja/AKNUQRKM5CiaYlRz22LbvuaSZKpieMJISQCSilvtyqsVtvk3fY1upBHWrxvnocmisd6HhzpOB5jnofvM/2ktJ6U5c8bxyrQfEuBiAgAxuQyNmE00GE0YIwyYp1kO6AkofOivFxpmjieYEFwfvsDTWM0Zllg5oRgms5QmxzQ6JK8Xwaa3KKe12b16jp1nBowJrDwFH6f7ChXeFNANCZJpmoC1CTJ7MzOc8Ys6rotVq1uUss6MwBcCigT1K00Wb22BbZdJWe5FEmVmiga6jDqf6iBJhqjdByPYTo7wDQ7U1AaOHeo73dY1V97VnZ4KeDMop7XptXqxrMOIZjL+ERuSOn0ZS4DlAKhlFPHrtsXd/7aufHxP/B2+xrvtK7S4gAu1Dw4yvcPfp8fHH0nj47/rKbTXfLkHEJiCgeqUs1E65wolaNSqcnzuOS9vtHgC7M81KPJA+V5bRNFY9RaAqWCMHYSMFPPbYm1tU90EPXVcHT3xEpTCJfVqpui3bpafocevW+SztRodE9Pp7uYZkEpHbhKWLwmfIiBJpZ+b88WlC48kBkwxskb5EIhItoXd2I9D451MD+mFadGXNIi5MRGjBNKCfXcFm82L2GahShVSt6SU8zzgIgIlGaGEGLSdG7ieAKMCrBsn7CSBkApB7soJ7Kqv8aq1Q2TJFNCyJuRcVrh/cKCo4kR6jiZmDSdg215pSMXI4QQYNyinttm9domLbh4FjFG45I3ZODMor7f5a3mJVqp1E//biF+j3ke6yDq6yD8YAPN4oCaRyaKRyZJpphmARHcIZxbC04eCO4w3+uyanWDOnYNOBflM1vaARwAgK91K6zmb/BmY4c+GdiUXEmTZaEOgp6J4uEzueh/6VqMWdT3urzduiK2Nr+0L134W+q6Leq6LVQqM3E8VsPR3Xzv4HfZ7t6v5XHvpp7O9t8lzv4C5f1M9DzoFRJN4YA5lTpU2Ml3glUqTd5pX+Oj8X2wLJdwblHL8qjntanvtanrtp5s3DNJMlXD0V01nu5hnofva5BJKQAXYHELLMaAU1bwMl9U5kvmJktjjJR8RbpHiQ8v0ERSiDRroxBRn8lMAEqBcRsEdxZE4zcFzPNYzWYHfDrb5/X69lmvYb6/Zm1tfIF5UYomhLyx7vMXARpjQHBtkmSqJ9N9oFQwzh3CykWi1KmjtuXzVvOS2Fz/TPYHt8kq0FxhCUBEBMZyRGNMHI/1PDgGISrMc1uLLmLgzGK+18FGfYd6bgdsyyPFYW5pgR5QSnmr6fB6dVN0Ox8xr/I4v8wYg8bIMmjpmyDsY/6BBpqIiEplJstCHcUjNZ8dMs/rUNdtLbJeIITDqv4ar9e2qOe2wLK8MjBfSvd0ecin1LI8Vq9v83brCq1UGo+9qMgYKpOmcz0PjnUYDcnLBpqW5Ym17sfWxQt/LdbXbrBqdR04twkAmCgeqdHoXr538Lvs4d6v5XHvB5Mk03cxyCSELHJA0mRZoCbTPTUY3SGd1tVTTUEEKpU6b7cus1ptkwrhUsvyWK26yRv1Heo4DcLYU5q3Jo7Hsj+4pSeTh+ZNyQCeMygFShmhbpXVqw3Wclzq2RXwGAdOASiBn29NNR+rQW8/f0CWtNd+eIEmKQnleiERclanKTAQ3KGW5WEuX6rcsSyYLA/1ZLKrxvUdsb5246nuc0II9f2u2Nz4QofRUA5Hd0HwOdGvp1vwlWHQmCgeyeHoLtiWR32/A4I4hJws6Aws2+ft1hVre+sbzPMYhNglhWjze8uxWeH1oJxD2vvmy6Eaj+9T2/KobfmL5gqgZTOQ73dZvb7Fm40LOgj7QCFF8+qbOXAuqON4rOqvsVJIu1CRODVGpVKTZoEJo4GJoqFJkmlJIfngsOjApo6dmDDsq+HoLiFAyiwwJ6TIAILjCFr111i9vs0btW09D3tkWYEm5xZYlseq/hpv1LdZrbpFLeuxEj1KmZg0nZswGpgwGmKazl9WKQAsUeHt9hVrZ/sb3m5dPh3UmiSZqeH4vuwPbqnB8LaaTg9e9f7eJBbd57zRCPVksiv7g59oxWmQVuvy4jW01MdkVX+NVip1muct1qhv82bjAq04tUUDFC7sQQ1qHcVjNRzfU9PZwft0SAMKQCmhXIDV6PC6V2ONZpdvNrt8w/VZzfGozwWIohno52c1D+5nt+YTPSKrQPNlgYV+Y57HqLVEQvCpT59SDo5ThUqlCdmblUAwRRfePep5HevCzreoVAqMWac5K6zqdQlsfK6DsCf7g58wyyITJ2OyxKzLuQER1Xx+nO8f/J5WnDrvdK4R8ngZCizhim7nYwKE6igasf7wtsmyACgN34lgeoW3Hnoe9vL9wz8W2ZHaJnHIozlYSomJtc515+rV/5Lt7f02D6MBIeSVDzrUtqq807kmtre+Yo36DliWB0+W/eJkooaju2o0umeSZFrYtn6ozkAljNFqOtvPd/d/C4xbvNm4+JjEEABQx6lZm+ufmSgeZXt7vyGEDJdxaVqpNHm3fU1sbnzOatUNalkVQqk4/RodRkM1HN5R48lDk2Uhaq2eSdX6CwDGbFbzN3i7dfXJzClKmehHh4+3njL1c4Eyj9Vo8oC6xy3Rbj1uSUmBAWEWVJw6q9c2CaNcdNpXWbN+4SkKg1Qp5nmkiw77QxNFQ9Qv35T1toFRwuwKdWst3r3+VeVvrn1e+bbWYp1ak3eEDTYXYFEKFIC8kCqNU6H+/t3sJiFkbxnj/PACTSyEaTHNQqJUdqZ2HmMWdSstVvXXTByP38QwF8Asi/RY7SrP7+h5cIxJOiOOXSsdDwghhFDXbdFKpaFns0Ox1v0Y0zRQiBo4U6Wf+FI2pTLDCIRSBhQYIQCnHIHMy5Vr0Jh5cJwfHv+Jd9pXMM8jNJXGSachKUphxUneqanB6I48Ov6TngXH2mgFjGXEmJe89hn3SCl9VHZBLF2PPuxN/QOADoKePDz6jtdrm2Jr80vqua0n56DodD5CpXOTxFPZ698EzmOitXqZuQeUUkIp481GS2ys3bC2t75h9fo2PdW8ssjumDgey17/phyM7pokna0y+YWhhZ7ODvO9g9+xRmPHkjJBISrlMyuaCR27KtbXb6DUmQ7DAbWs26i1eunMYvHMuFhf64rNjc/F1sYXrFrdWDQcnZoHaIKwJ496f1bj8QOTZeErcXoZE9Tz2rxR36aOXXvsd4XhQEK0loQWLlal5SS+s+VzUorUT6d7YFmevhz9ErWWpOg8LwvEhFHHrrJ6dRMs4fJ26wpvNi6A4zwRaOaxjqKhDsK+CoK+jpOlWiu+aTABwq+z5vqOdfnTX7i/+sV/rf7PToV6jks9goQYJIbgWU4Uz8fwSO7ZFbo0lY0PMNBEY7Is0EFwZNIsOCszUCxQ3U9KWaEpUHrvjZGHS89zE8djeXT858z31sTG+g3ata+fHjIBoLzZvFj55Po/MN/rZA/3fiv7g59MGA7IktLfILgNluVR12uzmr9OAKgJwr6O4xEWmd8X1iVDg8gqlRmSyW6hbzbZA84dWnHq5JE0SRHcWpZnXdj+llDK8v2DP+T7h3/Q8/mRjqIRWUJZDBjjtFKpU8eulp2ZyuQyBkqjZTd/rPB2wcTJRA5H9/hwdM+aTPeoZfmn5yAwJlitumFBEZSaJJ3J4eiuHo/P9lz+C6COXWXV6rrY3PjCvnTx7+yLO79g1er644MqPL3VbH6YHx79SfUHt8x75GbySjBGl3x0FKPxfT2Z7RMChDp2nZT2hCCEwxr1HWG0toOgj3keq/HkATD24GWCdepWmqxaXbd2tr5xLl/8pdja/Jp63uN82tKLXk2me9newe/VcHwPc7ksvcani2++37W2N78hRitUKpWUCpNmc8zzqEw0vJPd1ahPZKx6ej4/1vPgmDp2rQwki4OEsDxWrW3SSqXBW83LrF7fovbjyhA6jAbyuPejns72X5Yj+zaj4tHqhevO59e/rPz1xgXrqmXTyqinDiYDeRwHZp5EOtAKJRpiXkQr8+FP6fezkeova5wfXKCJaIxJs7meB8cmOzvQpLbti7W1T1BrKY97P5AymfcmTogLThKrVSf5ce8HcOwqdSsN0e1cf+KlwFvNS6xW3aC16kZJmk+lUilZVvMMFw6tVBq83bxsbWx8Tihlst+/SYYj0EUg9lILqk6SGSFk5n75+a6aTHep6zbBEpXHNPAAGNi2b13Y+VZsrH9G3UqzEHovtBDJKwaaAACEc07dSoPVqptE6QyVSkkUjbSUKVlCmXSFtxcmjicmSWZqNL6nptN95vtrIIRzMgcpFbRW3aCe29JJMsPie0X0PDgGgPRF1wawnSpvtS5b21tf25cu/q11Yftb8gSHCnWRrdKz+VF+ePSdHAxumTdoM/s2AY0xQOnQxMlYjcb31XS2D7blgSVcIKQINDl3WL22TW3LLzLBKkdEoybTPQB44SoIrVQaotP5yN7e+sa+fOmXfK378RPPrLTHlImaTvfz/YPfq+l0b0kKAWfy61jVX1tkMU1UaHXq2fxQo9FEkhSN0m9q73oVlBzkOavVejoIjnUQ9AgQYLbtLwT6qSVcVqtuIKJhreYlVqttgfWYBi2aMBzI4/6PejY7fB1Wmq8bFZf5Fz+yP7vxrfur7pa4aNnUGffk4Q+/if99dCz3JwN5nKUmMZpoxJ8vexjN9XQ6XAWaLw+D2sTxWA7H9+wg7KNUCQpdKcRtyzJZ6UjD2+0rzvWP/hsIUdHT+YFYXztEKWOUMkFdaJERUtCBCKWMUMqBUU4Ys4AxAZRywig3UTzWYTR4FcFezPNIjcb3gXObVavr1PM6zPc6p622EIACYxav1Tbtq1f+B1qtrqvxZNf/m1/sL7KzKGWCuUwWGTtS3MCpkgTlwLkNnNsgRAWEqFDHqoJt+9Vf/V2DupUm8/0Oq1Y3is05nqjJdP+ZXr8vADWePExv3flnlCoFShlhTJx8joQUrmoFZQDE+vpnBICKzY3P9WS653379cAk6QyzLDC5TFCVXsjFMwICQEpveA6cW4RzhxbBrAu27fm//NsqrTh16rltWnHqJzZsWksTJ5NXvbcV3m4sdGvVZLqX3r77L6h05ly9/CsQ3CkdVhghhCCljDebFwjiL6lj13izcVHNZgfOlct9kyRTk5USY0YrRNQAlBfZ+GKuMc9tUc/ruF9/cVmsdT8Wa91PWK26UZZ74TSVR41G9+Vx78/53sHvCkmjN69z+DYBjUGg1Mjh8G5y86f/E/MstDm3oUZFQe8pnxnnNu+0rxIASl23Idqty3oe9OxLF/smTeeYZdFivShl1xihTCzWB+p5beZ7HferLz4Sa92PxfraJ+W6+/gz01rK/uAnedz7IT88+s7E8YTI4jD8SjeqdKbn8yM1HN3lreYl6jgn5fOFMxDvdq47hIDYXPvMpNkcszxCU1oXI8H6P/y3sxNaWPqhI2o0WqHSOSqdYZ5FJstDE0WjQkoqnZksC167CotWuZ7O9vODw+8sskXKrH+hCGHbPms2LhBCCPP9DrUtDxgVJ88DEXUYDWWvf1NPZwevsv++rWCCCL/BmtUGawVTPRocyt3bf0p+fedP8W/CmZ7EoZlrhRKRvBCVIk8xURKX9nl9gIGm0SaKRwvHBsxlgratSueB4jUFR7MpOLeBMiHa7avZ3v5vst2935goHpk4HhspE1JOXKBUEM4t4NwBIRywLY9awgUhHODcUYPhHZOmM0LIKwSaMlKj8X2UMmW12harVTcJrn1CXbd1Mm4AShijrF7bop7XsbY2v9JB0Fez4EiPx/fVePxQR/HIxMkYpUxLXTckAAwY48CYVQSWTo06To26lRb13Bar1bZ4vbYJFadBHbvoyKWUy/7wtuz3bwJnFhSuDa8ENZ48xDQLCFDK260rtOqvl0H8o3lKqQBKubWx9qnotq/pKB7pIOjr6WxfjScP9Gx+pAuNvRlRKkWl8rJLHwjjNnBmUceuQsVpMNdtUa8Qdmb12tbC/QUYs9Kfbv+TyWWso3hE6Kvf2wpvPxARmVvZS/PCmk60W1dYvbYNnMPJQQqA8WbjAqtVN3mrecna3vpa9gY/yaPeD2o8fqCDoGfiZIxKpqiNBMYmSRMlAAAgAElEQVRs4NymntumntcW3c5HYn3thui0P+Kd9hXqex1gzCJnZKzUaHwv/enO/5UfHH5nCu3MF86cvu9AY5D53l1M0ilwZvFu52PquW0AsMkiIOHcFu3WVV6vbYt264re2f6r/Lj3ozzq/VlNp/s6CHqYpjOUKkVjDHBulTJXxTNbX7sh1rs3eKd9lbfbV2nFKfRUn3hmqLRU/f6t5Ieb/7vs9X4s3YCyV31mqFSmZ8GRGgzvUMeuklbz0skvObeAMSGsjstbzUukkO0r/M5PU/POHgESgljI/akcZSEbZdJsXpSsw57qD27Jfv+mmkz3yv3itQaaqLVU09lBfnD0R1atrpEt/HLxO2rbPm82LhIAYK7bAsvyT2WYC35zGA5kr3dTz2YHqN+/0jkvOJotv86aD2+l3z/8Kf3+znfxb+58n/xWZpgag4YUx4kX85hEYoxZni3lBxdoLrTzCCKqyWQ3Ozj4g1jrfsKbzYtgWx4hj2R1iOAOq/nrwJlFKFDquW2TZQFmWYhK58SUEiNAGTDKi25wbgEvNhdCC/GBFAnK4fgeIeSlO9hLno2kFWcqj46/B0Z54QKEyPxCR+6kQajMBCJjgjAqwLZ9VnTobZksCzHLQ9Q6X5DiF/ZewBgnjFlUiApYlgu25VPb9qlbaS48mEFw50TMWnCbUMbJoknoFbHooJS9/k/pnXv/inkeiW7nOmvUt6H4XK3ypUAWZU2gDISoUNuuMs9r63Y8wSwLTS6jgi+lVZl4AMKoAMY4CF4By3KpbVdLH+s6dStN6jh14EwQQihYwgXGRBFAv/q9rfBuwOQyJhgZ2Rv8lN6599+NlInodj7mzcZOUbFgoqxYWMT3u4vsP3XdlljvflxkNfOIaJ2jMRoY5YQyQW27Co5dZbXqBm/Ut1m1uk59r0OtYs1ZNP6QYmPd15Ppfr6795v86PjPajbbf9kgEygAAcrBtlzm+2vUc1vF952ycn1ihAI7qWgAMEIpBQDqfv2VAEu4zHXbYq378Vnfg4VmpdhY/wxzGXvffn2BGNQlt1wv5GVKgwxdNu5pYgruOdFaopSJDsK+DsOX6grHLI+0QS2Pen9Ob9/9Z5MkE9HtXmdVf50wVvh9c24RxjirVtdBCIdw7jDP6xQWuOmsVCHJCSICLQ/djl2ltl1ljfo2q9e3WdXrMs9tLbrbF88M8zzR09m+HI7vZbv7v5HHvR90EPSW5RWOMo/VYHA7E9whFGjBk3db1K00y2dGCKXssa77n/XGxdiwcL5WqHVOpUxRyoR5XsfUk21eq27wbvuankx25WjywL6ws6um030TxeOXbwB9gSFqI/U8OJK9fsXa2vwSpUrJYp5yZtNKpUGAQLkvFZW9hetcks51EPZMFI9MnkdnOn+94wAAyjkIxkHkGabziR5EgZlliYmVxLdGheCDCzQJIYWYLqJR48mD7P7D/5cAUOZ7HVIGmieglFHHqYEQFepWmmJz/fPCuqro6jspiSxKKEXABmXgRlHpnGid6/n8KL1779+WMXTMZSyPez+YMOyjUhmhlIuN9U+FbVdPd6ITQghhlBfjt1zmuW2u29cKh4xiIzgpMRTU6iJYBFIqcwEjUJafGBVAGV9sSMu4jzNR+LRrNRzeSY2WZcc/gmNXqePUTgWaJwDBHcYKUXes1zZFoR+qF52XZ98jFF3zi/LaIoCgtAiaV13mHy6MliZHrYajuwmi0VE8Ip8RoJ7bBFHo9y1eCsJyGWMWLfmWqHVedqE/mnvlIQyK7xOHovJhE14Gq6eBiEapTB73bqZ37//3fP/gD7I/+OlVNBgJUAacW8xz29b25pdibe0GYUwApxYwLmARNHN28t/l2IqAWohKIUxe3TxL8JlalgfNxg51nBpvNi6aOJmUn4NErXNUWpLyUHtyuFU6R60kSpViUZ4dZgeHfyQvKT+ERVCv5HH/ZmHTGU+AcUEduwoE3FMVEQDb8pjgNq04dey0ry3+X4LGlBaNpHxmCyoRA84d4MwGxgWhT6yxiGiyLMgOjv6Y3bv//+T7h3+Qw+HdshS/lMDGZHkke4OfTJLOCOMWtZ0aX+t+TB27tgzKEimqRqJww+M22naVum4LtZFirfsxKpWp6XRPDoa387393+Kde/9m0mxOCh7l+QZvWks9D3qotNTz4BiVTIEzm3BOi8NAef+nPweDWsfxRE9mezoIeyZN54ts9bmO9Q0AClsTBpRQlWOehCZUORaVyrcIH2SguTiJim7nMN8/+D1YwmWOU8eOukpdt0WtQjAZylI0MCbIM7xsn3sNqRKUMgHbWc6CQAqSNFA6RSkTenj8J4DCpxmzLGL12gZ13VaZjbNKnmMxfrI8z9+CxyNTkyRTzLIQpUxRm1cWkC6fi6aWNZGm8D0HIVyT5zFvNi7wen0bHLtGHae2CO5PbQYvdpp/xgAIKepJRTlJS8SzRf1XeD9RirBrallTNRzdJQCUVuw60UayZn2H1Wtb1LJ9sC2/4GNT/ljT2oteT2uFSmeYZaEOw76azg6yB7v/kT3c/f/0ZLpnkmT6Srw4AAqcWbTiNsVa9xP7yqVfEkpFWYERhJY8aEYFKegzovg942UFoOCbP+v7xSgHanmUcxscp0a0ylEbSRYyQsbIIsg0ipji36i1JFpLVCo1STrTs/mhms+PXvozLAIIQ217iEZL4NwGx/ZNlkW8Ud9hteo6WLZPbcsjRQAtQIgKeckVEYuxZyZJZzoMB2o4vpc/ePif+d7+b9VkumeS5SgDnGSjLVGhFadGXbdJbcsnfGGR+oqFloUM1KM/U0IJAfL0VlVUuGwfACjmMgFKmZrM9gkhS2sYOQtojAHGYhPHRAfBsRpPd1mjts08r1PSF55KfKAx2gRhX/b6N4sg9f0MMgkhRBvUWWKiJDQBUELdKq0JGxzyypNjufggA80F9DzomSyPYMH7kzK2tja/ooJXllEKPi+UHZe5HAxu6zAcqOnsQI0nD6ytzS/F9uZXvF7bIrZdhSUFt09dX8lUB1Ffz4IjHcVjzPKQLFEEF5XKMcGpHAxumywL1GBwy9rZ+Stre/Nr3mlfo5ZVKX3ez+P+kCCaIgCQKdFGFgyXFT4koFJ54boyvJNolavR+L518cLf2Bd2vmXNxkVuCZcsgZeMWudlQ91evrv/23z/4HeyP7gt+8NbmOfxScPeS6LIpTJBK06DdzrXrJ3tb0+0JsvKy6NKxuLPj/4Nj17zrErGIvsnwBKMGG4XB8aSJ1hWfk5cWkplWkQ0RKncpOlcVZxGvr//u1e5T0JOfLLHea/3o8mzSA1H96yLF/7G2t78ijebF+mTFauXvY5UqY7jsRoO7+Z7+7/N94/+KAeDW2o4vo8lv3cpKA7aDvO8jthY/9Ta3Pjc2tn6hnc616jntl8nd5w6dpXT5sWCM180y6a37/4LOedAkxBSWLCWmU153PuhEOOv1IGTpypcxeu10vPgKD86/l7Pg2N8D0vmCyiJeTBV4/lYDbgA0d20Lhzez2+9qLf5eeODDjRNlkWEkEh0O7cIY4KUJ3HTbl0Gy/KoZbknJa5F5+liESZkkQFb2FwZRFPwkYxWRBd+rZhloYnjMVlCxu80Sl3HESFkxFvN3CTpFLMsMDKPdat1iXletyStF3xRxsRJ0w6UouT01OaxKPUVm0Ahwq6NQmMUapUTpXNUKkOlMx1HIz0LjmSvd1NPp3smzQLUenmBZnFvGigdYJLOTBSNUOnc5Hks4nhs0nRGLcsH2/bKkpZdlPpowcd6bAMFSsgiVFxsdiV/zBT3V2RXdI5K5ShlglkequHwjg7CnsmyYNXp++HhZA4yNjR5HpsoHmHJYxNhOMA0nYFlucB5BUT5HXt8jSjm3yMbPINo9Km5lqFSqYmTiZrNDtVwdC/b3fu1PDj8gw6jgQ5ejq/4FBYGC0I4zHPbvFHfXsr7Pnr7BW2IEEIYYUT83B0Olc7BslyUMgHr1YPAUhJHAec9k6Zzk6QzNEahlLEJo6FJkknxvIRzsi5SyoEWHPUTrnkZIJ9wTJXOCxqASlHKTEfRUM/mh7LX/ynb3f+1PD7+wYTRQEfxUtQpgDEOnNusVm2yem2Lt1uXrc2NL8TGxme83bzCqv46MCqKeZRlRspkQU9YrG8n692zrwKP6ESEEkopUGAF/5gLELwChQB+UTni3Gac2wCkPHQgqtH4Hq04t4vP5fw6usu+CqWD4Dg/Pv4zdStN3mldI+TxObM4zKDSmZ4Hx/K4f1OH4eB9Xr/zFJPBodw9fJDfdlzqdbfExe62uLS2LS41OnyaJRgridIY1GgKhvSbGOcHHWguoMOoTw4OlYmioewPbvFW8zJvNy+zRmOHeV6bem4bLMtbdCQXpehyUpeiyqh0hkpmmMsE03Ru0nRmwmiow2goB8PbqM7PM93E8URprUySTPJe/yav1TZZo77D67UtWvXXmO93qee2mOu2COcOCG4X98GtBe/qJPDSOsdcJijz2KRZYLIsMFE8NlE80mE4MEHY11E0NFE80kHY1/PgGLMsOBf7M0REU8gLFafT+ZE8OPgD8/21E4K+73Wp73VopdKgjlMH23LLwNNaBJ/FZk8MGq1KJ40UpUxMnkUmzQJM0pmO4pGJooGezY/1fH4kR+N7ajS+b5JX4Met8O4DUaNUiQ6jQb67/1s9me7ljcYF3qzvsHp9m9XrW6zqr7Oq36WOXQMhKuXBzgJK2UnZWKkUlUxNnEx0FI9MEPTVPDjWs/mBmkx29XR2oIOwb8JoiOr98WJ+IzBGYS4TPZsfZvcfSjUa3+eN+g5rNHZ4vbbNGvVt5vtdVvW7YFs+CFEBxmzCuQUEAI0u1kGpMlQyNVE8Kta7oKfnwXHRrDXZVbP5YWlYMUa5vPUdLMtlntcVG2s37CuXf2VtbXzBqv469f0udewqWMIt+K1JqOfzIz2Z7ek4HmOazo2Up2XdnhVUFGcBKNypgFEBnDtgWS51K03mus3CI76+TRizTmdOQQiH1WubIssC3m5d5c3mbR2EPULIYFn3fyYQjZ4Hvfzg6Dveal22z0psICLRRmKeR3oeHKvB8LZJk9n7bNeaRDrYvZ1+T4CQT75x/+7Kp843Vz51vjYadW8vv987kA+iuV4EnDmloN5EsLkKNAkhJknmhJA5tayeGozusEZtW6yv3eCd9jVWq22yWnWDOk4NHLt2QuYvtceI1tIonWHZrbfIYJooHusg7Okg6Kvh6B5KdX6BZpqFpOhoPwJKqXTdJm/WL7BG4wJvNHZYo7bNatV1VvXXQVguWMIFLmwQ3CZAKEFSNEgtTu1lZ7qO46lJkomeh8d6HvT0dHagZrN9E0Vjk2bz89YlW3A2CSERISQCgN2FkDtvta7wdusyq9e2Wb22yXx/jXluq3hGi4wFs4Fzq8gmoSmajQqfe5PlIabpTMfJ1ETRUBeb/uHCnQiljDGXyct0VaKUsQ7DQeFWQsDEj2c6MM8jEyeTx5qVlghENJgkMz2dFfeRZsFJQ4QxEqVK9Wx+iPmLiX+jNsrEyVTP5ocAlKJ+OlOg58FxOdfPZTHDPI9NEPbUeLqLWR6CVTqBFJmM9NRnu5TNZaH2UP7MgdL71Bveob7XEe3WFd5uX+XNxgVWr28zz20VB1LhLrJluMiG5XmMUsYmCPt6Pj9WhRzXQzWZ7urpbF+H4WgZ4336BhCJMRrzPNbz4FgOhnfP5TovA2OkybJQTWf7penCUlDy8XJCyJgQMgbO7inP61Df7/JO+6pot6+yRn2bN2rbtFJpgGV5IHhxQABKUatSSzKPURafm54Hx3oy3VPjyUM1ne2p6XTPxMlSXZoAAAgFyhuNFl/rfGRdvPDXzvVr/9Xa2vyyOLxQThb80CDoqXlwpIaju2owvK3nQU/H8QTzPCqbKosK2pnrCwABAgCUElbqJgtRAceulgH4ulhL5wSNpq7bpm6lsVg/FplNrNe2eKt5ibdbl0rZo/MONNHEyUSNxvdNGA3P7AlAVCbPo2LvDXpqNjsgxpj3lZ9JCCFaERXNzTSY6CGlhDW7fOPidedzu0Ldeot3K35WnY/VIIlMmOeYGoVq85L9FzO8aWLiaK6neWqWEresAs1TQK2lybKATGcHKFWqRpMHYFs+tSyv0MlkdlEao6zcR4tktMGyDLsQvJUpSpVgnseY55GJkgkukcP43HswxlDLitVsfmjSLNSFY4ZPLcsD2/KAFiT/suOak+J0W8q5FiVz1PpRqVzK1OR5hFkelVSA4E0JR5+SpjJ6Ots3WRbS0XjxjFwQ3AHG7RPxfFpKt+CJXlxZviwbFIryZYZSxuX9hSZN55jLqGgEerkgUI0mD5Iff/o/8r2D34FjV59qpNBa5gdH3y1L/uRJoFRptrv/G5NlQSm675xw7EwhZaLDsC8HoxcKOkySTLOHu/+p5/NDats1cB5z4SCEEKJG4wd6Ojs4L69lNRrfj//05/+VPXj4HyBEhSy6wBFPGrjk0fH3eE52c+X3KzKIRi5KdIdODRzbB8ErC/WCkxL66TlntMJcRpgVmXSTpnOTZfOl8vqeHq80WRbK4ehu9Mc//S/Z/sHvz+taLwyDBrXKMc0C2ev/eI7X0SbN5mUZPdHT2QEtpIt8wrkNjFqEMl4oAwCU67lGoyXRRi3Ey7F4ZjOTlmvgssGZRblweLfzUeWT6/9gXdj5ljcbO6VUHiPGKD0PjtWs8HjP9/Z/p4Pw2ETx2GRZiEqlRQMWmoIjS8jZ5z0gZSULCJyUzAtJJ0u41LZ9edz7gbdal+1LF/7Wvnzpl1Bx6o+9A+M2q1U3eLt1TQfh+QaZJzihPhWUtSd/q1SmZ7NDORjc0mE0JAX14b3m17s+rV351Pnm02/dX21etK9ZNq10NsWOV2ONtS1x6dqXlV/kSSG+rjUqRPKzJKnu/5j+8Q//Hv4jIeTOMsa5CjRPYcHxIYWVYu8ND+dnA0rOJQAwgEIDjyR5bBKZGBKeug9EQsqJZrRCLJww3tjAXwKnnlFK3tJnpKbTA0LIwZu6fplp/r78WRpMmgaEkD+WP28EajLdJ4Tsv6nrE0KIKQLDmBQc6bcapad3TAjZLX8+OJQZraj8eU1B0YsDuLCp69RFt/ORfe3Kf7G2Nr8q+wMKhyOlUlXYkf4pvX3n/05v3v4nk2XBsjN2QCllteoGq9Y2gDNLbG58Do5dJQD0hH/LmUWr/jpvty7LXv/mMq//nJEBUODlofkpKjBKlenZ/FD2B7dMFA3f50zmAo5H/QvX7Bsff+3+Xa3J2pQBrTV5p9klmwD2SzcE/fqf5//bg5vpd2QVaK6wALfdtqj4a6JS2xCV2hazKg3GhQuUW4tMFhYZV6nzZKpkMs3mwzvpfPATKRbfFVZYYYUV3iCY762J9bUbvNv5iFUqDWCMnzQzGqMxzULZ6/2Y3rz9j7I/vI1KZeeSsUNEk2YBwTnqedDTQTgA+0QeqvCRB8qoZXu0Umm8irzXzwYAZVV/Xayv3WCN+tZTGrSkyGiq6Wy/aAKKltNM95ZDK6Li0MwnQ3UcR2ZuD9UxUKCUEvYqAkfHe/n9NDZLiw1WgeZ7AG57Lae29rHb3Pq60tr6xvaal7jttqmwfQDKCCFglEqMlnEeTfayaLI7P7r1j3k82yerQHOFFVZY4Y2DVf2utbX5peh2rtOK0yCULmghBksVE3nc/zG9eeufsLDXfWV7y7NQvmcAAKGeB8c6jPrM9zrImX0S4FHKwLKKQJPz1xFoAqtW18Tmxue8XtsqHdweH7dSqZ5O92Wv/6OJPpRAE2Uc6vlkqI4XRtSn/vnS6O3L+2lsXtrJ8EmsAs13FACUctttccttet2Lf+t3L/+9XW1ftdz6NmXCNUZnJg2T0vdWIyFI0BijZYxo5CmuyworrLDCCm8YsLC79L0uYdxaaCGi0tLE8VTPg2MTJxOUMkHEc6c9ISJ6f/W1QiWz0p7zUSkaCAEKdMFrPc9xFNcDyqremrWx/imr1TbJKYcuLG1MTRgNdRD2dVDoY5/7mN4CJJEOHt7Kvo8Ds9TGtFFPHkRzPV3W+60CzXcVAJQ7ftepdq77nUt/V9v65H8SttcllHIjs0Am8yOVxWOjZYJGS2DcBsotlSczo2SCRufkLbOpWmGFFVb4UEEdu8obtW3qee3TdrtoCuk6PZsdmiSZnlcT4ZkwpTRX6QN/6jdQWvpSOMOadJkAACBCMOr7a2J97VNWr22eLp2j1tKk6VyH4UAHQU8HYf99ljQ6jSQ0wYObyXf7d9Kl8mSVQilzXFrD2yrQfEcBAFRUqhuV5uaXVrV1VdhexxiV5sF0P4smD/JgdF+mQQ9N4eULlFlAmdAqD43KoiwcPzD6/CSXVlhhhRVW+PkAxi2wHR8s4T7p3Y1SpZjLiLzOIJMQQigVIEq5LqCnDT7MiXLHks1ITgMoZbRSqVHf67BadZ36XgcsyzvtVIV5HqnxdFcOh3d0FI/KhtEPAlrjotnv3JQrloFVoPmuAigTleqG29z8ynLr20CZlYej+0Hv3r/Fk8M/pPP+TyoJelic7LDoGARANBrRKKPyyOiVMPQKK6ywwlsBSnkhkcUteMzyE5EYLVGpHF+zrBxwboHj1MCyPDhteVlYiGaY5xEx52howRinvtfhnfZVVqttFKYI3DkdaJosC9VwdE8eD34yUTw+t7Gs8NJYBZrvKACAMuHULa+xw6xKgwAwnSXjdN7/MZkcfZeF4wcqi1ZfuhVWeAUw4LagdosCdzXKuUIZIhpl8OU2V06tKge7zqmocrCqhug813FPmmyCxEiD769d3gp/EYUT/FN/DbSwEOaFjvNrALUtFyzL9X7xV21acepUPJ5lRWP0wjUO8/NLWABnNm82Llg7W9/wRn0HOLcWnwFiaaqYpFM1Gt1Tg8EtkyRLsQF9VwEUwHagYjvUtWzqCAcqjAGnlFCZY5ZEJkhjE8ncZEriyRrGODDGgKMhxiCaZdtVrgLNdxdAmagwUWlQZrkAQI3KIhnPj2QS9FCfn+XlCit8KODUqvm8/YXNvM1Yze7Een5fkzwkhVPQC8Oi7prPm5+6vP5RhdevKJPNxvnBv4Zy9CeFMiRveQlshXOEMRqVSsvyuDkhPlLKqGX51K00QJx/hzdQSlm93uaN2jZv1Ev3JOE8Vs7XRpo4mep50DMv6DD2s8cBALTqO7zTvuZcvvT3rNm4WJillCjNRRaOQWowumPiZGkNLO8iKCW02uDt1hrfanT4Wr3N15wK9bgAK5zp8eHD7M7gUO6GUzImp9YwIcCyHOoajUpKkmtF1DLtKleB5jsLAKDcotzyKGUWIQDGqEzlyUTLdGbMGV6wK6ywwouCUmAWA1ahQC0AYAQBAABehisHBBgFZlu00vV444Yy+TRU4x8pMAdQragsHzBQqcwk6RyzPCYVp7H4e6CUgWNXqed1qOu2mes2Sve5pcobFZYf3KaVisvbrSvW1sYXvN2+Sh2ntmi+WVwPtcp1GA7UdLr3/7P3nk92XHmW2P1dm/b5Vx5VsATJIZtsO9O7M7tajaQJzUTowyr0Td+kv3EjtCGFpJ3VbtvpbnoShCmUr3qvnkt3vT5kFggQBaDABprsZh1GkRHFyrxp7s08+TPnuLKavapjeHQslDIcRy3a7Vxhw8Ettrr8No6iLsKP1WZqXbq8GJvpdM9MZ7t2sTh6ZL35PQJgAEqBxW3cXbsmeitX+PWVK/x6b4mudod0JYhwQjkW40O9a403ZeYWsvxKIxNjgMEqGw5X2abWXhaZmxcLO8vqrvNLC8rvKwAACAsAADBAY3UHqK6b8dZ4bw06LwNziUtc4qVgvF5kZvxxaefb2smJ8Wrm/DdvyFCuPF7o0R8AYcpxOPDIOeftZfbhEsgpldtscWzL1ilO4+Gj/0EwxUHQIu10lfZ7V9ny8LaZzfftbL6PEHp1pRa4rock7daa2Lry0+Dm9X9Dh4ObwFj4xN9577zWpZ3P983J6I4rileersZCpGxl+W2+sf5Dtrx0G8fJEBgV6DGFSJcXp+rg8GN9ePSJy4uxd86g74Eb0OMAXDvWhwlOb74b/fjWD8KfLq3xq0sbbCuMcBpEOCIUGMZAuIDgaFc9CHbwPUrhCcH7jRvizff/NvkfZOny8ZHZ378vv3h4R36MvktEEzDGAJgCoQITFgJg4qyuvDWV98557y2u5XUEYEwfkSOEao9i7533znhnlGu6pL27WOdYY7lIMBMxpjz2zmpvjaz3U/sdn3VcAyYcgFAAwI+NjxDyzntvvbPKWS29cwrVx/3MlwkAAIKa8gEhvN43Jo1AOm60xRoPcWeR99Y7o5y1qtaxfNH+MQaMSX3sVADGrNZVA8yjDiFMpISHXcCkcf8BwISFVMQDHrbWvHdGxJ0nFp1HCDmjcmd0UV9v+8KHFEAdOQVCOABhj+4fashtfQ0fnaNzRnlrpffOXvQefu2a4ifuFcYUAEgjpQGPTgR51wxsvXMW+cZr3jvjnTPev/iB89U9xPTRHIHGpxoB/tp4vpknDnlnvXPW+8a/uh7zQg/8M7tQjAkHQgXAmef84+M1Y9VjmHpeGtmskws9SM/GIZTX68I7662R3lnpnFHII//oOtf/ZU+si/oSn60L7aypvLMaeWdfd9crAGCMqMBABJzJqNTuzOC9085b5ZHXHjmLEGACRAB64m8RAoSct8p5Kz3yxnvnADDGCDMAzABhCgBnzz/vvTMeeeu81R45BQgwAOEYYWa8zqw3hfWmdN5WHj0pnVJHPGkACGjzHgQECJBH3iErnTeVR8h575x21RQhNG3z5W7ium9jRALv3etrprjEnw18VS3sdLbrOu113+tePVtngDEFIRLkvKWD/g2+sfY+UBp4YxQOggJZq+tnoLf1I/GF7616nePG5xxjCphQ0koTOuhfZ8PBLb658RNxbevnIEQClIpHO+F8/e4AACAASURBVHBOO6VLmxUjM53tmtPJQyfV4nnnBRgAYUwRYPzIp7x+xvmv1ivU1smN5zrtdjb5+tr7wdXNv6aD/g0ShY8ivM25OptlJ/rg8GN9ePypzfNxY7f6vQIhiAQRSbpDtnrj7fCHP/q79B/SDum3uqTvHfLWesM4FkGEYyVdmbRJVwQ4xBSe4H69Jbp2693wJ0r6anyod5FH/mRfP0QIHb+K43wlRJNQnlCRDETavx51194nPGiV08OPq/nJHavl3OpqHqSDm6I1uElFPKA87AKmAgDAO6utkZmRxanKJtsqnzzUMj8BgJMXvdAAMMaUx4SLNBls/TwZXv25Kuf7cjG6Kxen91U+eeCRRzxqr/Oovc6izgYPW6uYsghTHjWkwTmrc6tlrvLpw2p2/LkuZ3tWqxw9h80DJgwTFtAgXRZJ9yqP2utERH3KwzZgIgBT5r1tbB+rmVXlRBXTXbk4va+r7MQZlSGE5LP2X59X0BZxd1O0BrdYkC4/IuuECkJ5EvXW3sOMxxgThhCCoL30Zv/6j/9XU+UnHnn/dUF2773Nxzu/LsY7vzEyHwMms+eRQcCEAqZUJN0tnnS3WJAusyBZIixo1SFVTBFy1j12jjKfbKvsdNvI4hQwmbwM2Tz7UGFhusLj7iYL0xXKoy5hQRsIFRgTVp8X8t4Z5a2RVsuF1eVMV/mJrhaHpspPjCxOEUIvdDUAjCkQFlIe9XjS3eRRe53yqEdE1MWYBpjUD9iGR2vvrHRG5lZVM6OKU10uDnWVHTXjvfCrvp6vLMCUxyLpXeNx7yoLogHlUQ8oCzE+G89pZ1RpVDkxVX4is9MHKjt9YI3KASB78boAwJRHmPIoGW79TTK8+nMj81O5GH8pF+P7Mp9se2d1vSba6zzubLCwtUYojzBl0dkVdlYV1qhc59Pdan78ucpnO9bIDL2ir9xngQANYtq5HZH2DQDCAWEOtWoCkbY4quzivnTlsXFyjoGImHZvh6R1FQAoRpg1Cgu4tIvtwszuKFedYiAFARoIHK0KHK1wEi1zHPY9cg4h75SrxtpVY2mLg8rmewRoFNB0MyDJlQDH6wSImOvxB5k5/cTWtZSP5ldA4rWE9t5mOBzUTBdTAMw9ciY3k89yM/3CepMDQP4nlaa5xJ8VbF6M9MHRxyRNl9jy8tsoRR49FsEDRgO+svw2UBrQfv866fW27HS2Z+fzA1eWU1fJhTemAozteT7fQAgFSiliLMCMhRCIFIdBh0RRD6fpMmmlq7TX3aS97hbtda/WneaYPX4Mrqxm+mT0pdrZ/RfbkExvn1+mBZQGOIp7WPDYW6u9dQZZq7w1CjWBC+AsBM4jksRLpNvZYIP+Tba2+g5bGt4mabL0+P68MZWXMjeT6bbaP/hQH5987qtXn77/c0AQ4WT9Or999Xbw7sYN8VanT5cnI3348Ivq48XUjhcze7q6xW/cfj/6+bP24RFC2cxODnfUvbhFOu0+XeoM6DITIJ61zcvilRBNTHnEotZq3N/4SXfz3X/PovbabO/T/4AAE10ujkyVHYe99ffTpWt/K5LeNR61NzDl8Vnk08h8pPLpw3y885tiTAWaI2RlMQGA57sfAGBM6yhesnzj74Y3f/a/l9PDDxdH9/4ZABOrygkChEQ6uBF1V9+Lums/CNrLb1EedokIO955672zVpVTo/JxPtr5dUN8F02N47kv1CZ1HRAedkXau54MNn8Wdlbf5Ul36xGRJTx0zkhntdTl/EDns91isv8HhIB45J2pvAXA+lkRKkxZSINkGHSW324t3/x3QXvpNqY8IUwkzf4jACCPF0eLdHBDJP3rz0qbe2fV+L5ITDk/8M4qq1WGEDqXCDakSGDCQpH2r0f9Kz8N20u3g3RwizZkE2PCvHfWGV3oanGoitlePtr5TQ5AEWDijMoB8IWicAAAhIchFVFPpIObcX/jx0Fr6TaPO5ssTJcJFQkmLKyjisjXkVlV6GpxpMv5QbUY361mR59UcEKd1RK9gGg2ZExQHnZ40t2Mexs/irqr7/G4e4VH7Q3MREIoTxAC5L133urKGVXUBHN+ILPJdjk7/hRmx5820cznEs06cEoooSKlQTwMO6vvxoPNvxZJ76qIO5uEh21MeYwQQs5paVU1VflsT2bju/nJ9i+91RJV2bG3urrouiA87CbDq/96eOuv/zeZTR4sju7+MwBmRlczb40Uaf962F39QdRdey/srPwV4WGH8qjrm2iq1dXMynycn+793ntvrZJzX0uZvFaiiRENI9J5oyfW/w1GRABgDggzDJjmZvLZVCPvTB3ZpMDShPbeavPlnwHCHAPmuCZ6dKZPfmu9KR1yRjunCdA4IOlm3YzTuRmSdNMjZz1ypjSLB4WdP0AIeeXKEcEsjUjreosNf9Rig/cp8BTVRPfAe28fJ40ch0stvvTjiLSuIQQEIyIIsMgjqzEiXLtqrFzlrTcFujRJuMQz4LJ8rA+PP6P93jVXyZm3VgPGFEEtKwSEcLY0vE2Hg5u0014n7faaPjz6RB8efmqms13A2Ymr5Nxbq4Cxp57rwLkASgUORAuHYQcnyRLttNZor7tFh8M32LB/g7Tb67TdWv36to3DnHdFMdEHh5+ond3fmsl0x0n5wkYgoCwgrXSFJPHQGyO9NpXXunBal0AwA0I4DsI2xFGXDQe3+Mba+2x5+CbtdDZIkgyb8R+tG69U4bL8xIxPt/XB0cf6ZHQXef+9q81EqCGa18TtW+9Ff716ld9K2qT74PPqw09+nf+nwx11/2Rfb//Vz+J/u7bFb2EC5ysWeITyuZse7+r769fh9sqmuNnukyXO4ZU1nr2WGk3AhNMgXQ7bS2+FnZV3ADCpoyetNQQAusqO65Rok4olLORJ7xpgwnnU3shHO78CygJdLg4xJsfuJXS6ABOGKYt43LmCEABhPAm76+8Haf86pjxxRmbaGWlkPoI6fckRAtxEWjuoIRXoGalQwkTMwjQN2stvRb31H4atpds86V6lIh4AJszqam5VOfXeu7N0AGDCeNLdwpRFPGqvl7Pjz4rTvd9V85MvCA8nVpVP2Uc1qU5lVTXX5fwACBGAKQdMOMaEAWEBj1prLGytnaV6jczHupjvO6Py81QyvHNGLsb3jK7mzhqJ0NPuCU3ZJ6ciSs9ISNAa3BTp4FZDhiJvdalrkuoRAAEADIRFIuldB0yFSHvXitO93+ene/+i8ulDTPmRM+qZjQ6E8pDyKAp76+/Hgys/DdLBLR53rlAethHUTkdOyznyCCEMdXlCXaZAaRAPCBMtwIR7Z5U1MjdV9txwPyZUEBaGIu3fiAebPw07K+/wuHOFhckyAKbO6tJZXRjvj9DZWPW4tI7m0gBTkXjvjLOqMOr5NUqYUEZ4lLIwXY576z8Mu2vviaR3lSfdaxhT7r0zpspGHvn6uGthZKAi6mHKIsKCdtBaul1M9n5fnO79TlfZMcZk8lLrAjDFlIcsam/ECHlMiIi66++J1uAWoTxxRuXeWmllMW7WhUAIcBOl79QzUpfev/5iewCgDAc9QeK1XE8+z830jkdOeeSdcuVxZbMd603JcdDnOFzCQALt5Ey6fF/a4pAAjQjQECGAlA7eZSDaCzP+iACNYtq+GZBko7TzB3N9/BuPvPPIW+OqqXZyIl155LytjFPT3Ew+QwgwBZYIEq9Zb859qUpb7E/kwX/O8Oknde0HjQSOVihmKULeRbRzC5kp0k5OEELfqxqyS1wcXuvCFvlIn4y+lA+2f4mcNbTfu3ZGthBCqCmvwThNlxhC75AkXmIrS2+7spp5pXKvTeWt1ci52nYYeX9WEgOYMEQwBUoDYCwAzmMcBC0chR0SxwMcR30seHLesbm8OLWz2Z7aO/hAbj/8hdo7+MDm+clFzgvHUU9c3fwbvrH+fmN9XIu910SaIAACjAlgLMJx1Kft1ipO4iEwFj15gbxFzlkzGt+VDx7+Uj3c/bUtinFTMvBHXPk/XzCBRW+ZrQ1X2ZUqd4u7H5f/cvej8rdfflT+y/zUnmQLOy1zt7AWGUzQuUTTe+9v/zCq8oWdGY0MDyAUIQ6fSUy/AV4L0cSYcBYky6i9/DaLOxs8aq9753SdRi4mpsqOvPcOMBGUhx0Wtddp1F4XSXfLmfX3Ma2jgSU6wFYWE/QSUiKAMcOURzzqbrKwvcbCdDXurb9Pg2SpSXWeeKcrZ01JeNAhLGxTEQ+oiAeEBW3vvXPGPPOFiilPWJAux72NH3U33/33QWv4BlAWIuesrhZHRuYjq6qZ1XJBKE8wEzENkmUWtVZEOrgR9+1PgunRxzWhMVUzztM+pU3NqNXVXJWLw5o41vVfgOo0M0LrjgbxAHkQAICNLE7L6eHHusqOz4pPn9ilc7bKxvesqmbO6urcqBgABkIFEVEvGW79TXfrB/8zE/GQirjvrKmsruZWFqda5mNvrcSUhZiJFgvTZSaSoUh61xBCngbJUk2YAKyq5gihc4kmAADlUUhF1I176z/sbb3/v4ikexVjKpzVVX1Ni7HV1dwZXWDCAiA0oCLsUh71CI8HTbQzcEblpspOJB3def4coZzwoB22l97srL/1T/Fw62/O0uS6WhybKju2Ws6drhaoKZEgTLTq8YIWoyJhQbrkrC6tKicqO73//PEIpyLsBmn/Rrp66+87a2/9I6YsBMpCU2UjU2XHRpUTV18nhJlICA87LExXqYh6YXvpTW9NNd2Nes7oAnnknZYvJbEDGDNMWMSjzjqLWitMxIOot/4+j9obqlwcmio7drYondUVYUGL8KBeFzzuEx51kUeotjP9ExBNhCnDoitwvDr1B//lVO39P8apmUWmqNeLtwwHvYC0rgck2cBAAuPkbKFHH8zU0S8p5m0KotXmSz/r8rW/ZZh3lSuOMBAR0c4tgaOVmT765ah6+H80H2S+qbt0HtV1sAAgc6My550KSLSKEGDj9blEs3L5vlTFMTT1ZhTzVkTat0KSblEs2jHt3NJOTgDN777ua3eJP184pUrAuDInoy/l9sNfAsYEB0H7CaKJUOP7nSyTJB6iFf/WWbSxVuF01ltnkPfWe+frWmxMgWCKzuozEdQ1xE3F5qPfw2N14l8/tqJuvJHbD38lHzz8pT46/uxZwZivA0dRT1zd+uvonbf+CWFMEcYU1ZqhZ0n5szpNgK+O4+ljqeWMtD4Z3y0/v/N/6sOjT11enJ5XJvB9AecQ9Jbo2mCNXTl4oO7s3ZOf3/2o/O3dj6vfKukq75GvcrewxhvGn50K19JX+dzOrPFaBDgUAY4wgVfGD19TRJNyFrZWoE6tGlnXXm6rfLJtVDl1Wi689w4AU8LDrkg6V3jcvRqkg5ssaq+JdHAzXTbSO6tlPt3BmGjv3fPThQ0IC9si7l21Qvbrpg2ri8n+H6yWma6yYyPzUVNvp85S0ISHHSqiXjU/+UIV0x3njPTeP7GIGmMdHA+uXEuGWz+PB1d+yqLWmnNGqen4nsqnOyqfbOtifuCsLpzVFa7rKQMWpissaq+JpHc1SHrXWZiuxIMrPzlbX4TyiXdWPx6h8tZIq8qpyqcPvbOasCB9/HgwYSHhYSdsL78NgCkCTEyVnRSTvd/Lxem9Jl395PXy3qliumNVOfVNc8nXrx+mLA7bS2+F3dV3w87KOzxsrVmjsmp+8oXMJ9tyMb5nqvzE6mrhvTOACSNUJCxMV3nUXhOt4RtBa/iGiLtbyfDqv/LOGVNlJ4Tyyjkrn25AAqBBshS0hm+IpHeNiqjvrKlkdnpf5ZOHcjG+q4rZft2MYuRZ4wqmPCaUx3W6N+waVU7lYnRXZuN7VldPE/fHQHnQDtLBDZEObrIwXQYArPLJQ5XPdmVW1/c2Uc2qbtYhDBMWYsZjwoIW5WHXI+TlYnS3WozuaJmPzhunad4CHrV7UW/jR8lw6+dha3gbMx6rYrqr8tluPe7kYUP+C4QQAKGCsKDNm/pJkfSui7i7GbSGb7RWb/09EBpYXS0wYUfe2WeWXzwOwoJUxN1NysNO02Bkyunhx/no4a91lR3pKh95Z5R3VmHCQkzZo3Uhs8m2zCcPmg+j115w77ytCju/O9NHv0IeoTZb/qn1OnfelNKVR9JmexhISLHoUOCp905rZErr9cJ6UxGg4MBp772hwFsMBz2KeQehuv7Vep1Zr3OLTPmsZ0rzexPRtvHeG4+8a16NjwCAMSAgAkdLAUnWCdDYI28wkDDAyTon4RIgTAAhDAhfKnxc4oXwznmSpmN9cPQJIADknLNZfkLarTXSSpeB1M2nTTq9Tqk/vr33DlwdNWy6ClFD3gjAo8ab53qTe++9Vyr3ShV2vji088WBPjr+XB0cfqgPjz+zi+zYG/MS2RTAUAvOB6g+fnbh6+G9Q9Yab6zUJ6MvzWh0Rz7Y/oUZnz5wRXH6ovrQv3RgAuSMGGrp5HRkjovMzrVyypqaw/ztP7ZfyJu8R965WsEAY2gyeK/Ow/71EE1CBQvTFcJ4Uk6PPimnhx9no+1fZCfbv3BGZt55c9ZxRnnQ5nFnM+ysvIPW3/4n1rxYWZAs6WK2l48e/sppufBOO3QBKQfCw45I+9fr6ItR1fzk88XxvX8uTvd/b2QxsVouEGq+AOuOddzUPqbWqNyUi0NvjXzq5Q11yjZIB7faa2/+Q5AOblERD1R+up2dbP8iH23/Us5Hd1Qx2/Xe1Qu9Tp0DC9JlFrXW0qVrf0uYSHnU2Yz7V36KWdDS1fywmh197ozK0WMRKld3zmtrVKaL2e5Znc6j86QiCTvLb3lnlPdUAPLIyPykON37XTE5+KDpDn6KgJx15D+rg5lQEYed1Xfaq7f+u6C9/CYRUU/ls91icvBBPn74q3z08Fe6yo7rukTvapW3+n6LuLvZufJX/5NIuldZ1F6nIu47I7NqdviJkfmJ15V96h4CAhYmS2F35R2edDcJ44kqFgf5eOe3+Xj31+Vk/0OVT7YffbU35K2uTwVMRdSjIhki5KxR5cyq8tSo57tDEB52g9bwjaA1uEl42HVWV+X06JNstP2LcnLwQTk9/PixewjorBEaABMqEhrEQ0xYaHQ5taqcGlmMzx+pKcwM4kEy2Pzr1trt/54F8RAA4Wo+ujM/+OL/quYnn8v56I4zqviqm7ku+WBhay1oDW911t/6Rx53N0Xav0HDdNUZXVaz48+truauvocvJpo8aPO0f80ZVXpnpMzG9xbH9/7ffLTzG6vKiVXV3Ded/GeiGZiyGLMg9VZX+lnr4jXAIlPm+vRT762OaOdmX2z8vUdOW2+rTI8+nCKrEAKgwFsY08h5W2knp9abCiGEHLLSe6c8cpYAjSiINgXRcciWFpkSOYSst+dH9F8CtSYm5iFNNzt89V9zHC45byUgwAzzNgYaGqfmxqkZIMAIvboH9yX+cuGK4lQrlbuynLqimNhFdth0gMeY8+RM0/IZAIShVs1Ajybcy807772TcuEW2bHc2f2t3N75tTk6+dyMx/dtXoy9/hOagXjvvbHSVdVc7e3/vvz08/9ojk++MJPpjlcq+77JGX0dAAgzDoJzEFp5uZjYsSz9N6gF92ffJajWI0D4RVu8DF7XVzY0Mj9I5dOd7GT7v5bTw49VPtl25slJSiifO6NLhACC9tKbQTm8TSiPaBAPWdRa43F301lT6WpxjJ6Rfn0cmNAAeNhVpSpUMd2tZkefVbOTz6v56I6zqvz6+M02HAgN6k7bWpLpyZPBmIqwTXjU5XF3k8fdLcx4bHU1k9nkfjU9/LicHHyoyvm+qfKnSAflYWl0OTtrdAFMBRVRn0ftDZH2bwSt4U2VT3cQQo9Sc/4rAmHOO2/CAu2MLmsy2ejvOKPqGtFi0jQ6XXgRAsYEY8pF2u+LtHctaC+/SXjY9dZKmU+289HDXxaT/Q/kYnzPqHL25LaENs05WdBeektmp/eoSJaoCLssbK2JpH+tjphZg57qtAcEmArCRIoJCxFg4p1RVpUTUy6Odbk4VMX88FnHTZiYGlmMEEJQk2gjvTXPfRACJhRTnmDKIsCEIe+t1XJhyqwZb3bwrG0xYcKoYoIJFc4aWUtWnT9eLTcV1nOm6dpH3hpVzPfk/OSL4nTvdyqfPtTl/MBZo57clk6cUbl3Vomkd02kvetExH0WJEOedK8G7eEt73Qp63nzwugCYCooCzra6kqV8/1qdvxZNTv+XM5Hd6xVxXPWhUDe+/PWxeuC905LVxx5461H9TymmCcEaEwxTwOSXPHeGwCg3jsNCAgBEpxFDesoImaAADxyxiOrHHLSe2cxwrSWTfrj648IsIRh0eM4HFJgCULIa1eNPXKqTu+jnkfeoPpFf0kyL3EheGsNQsjgMDjSAMRbq5xSpZnN90kc9XEcD7DgcSM9FAClAghhiGDWNA89niJHj+oim49175x5vPPbG6u8MZXXuvRS5U7KhV0sjuxicayPTj7Th8ef2dls3+X5yH0Du0nvrHZVObNZPgLOI+AsfNTk1EjMNTKH1ltrkLHSa105JTNXVjO7yI7sbH4gH2z/Qh8cfmgX2YlXKv8+yhl9Hd4jZ43XxngNGDALICAUUfSSzxse4DDt0D4TEGjlpapc6Zx/Zdf3NRFN77y3xmqZVYvRncXxvf9kVTnz57jVOGeklvkI8tNtuRjflYvxlzzubgpW14iJtH+jlrCpZugCRLNuMmLYqmqWj3Z+nY8e/lLmp9t1JPX8tF+tu6jrr4DzXqYAmIpkKNLBTR51rlAedLxzWuXT3Wp+8kU1P/lc5pPtZxGchjBouRjfKyb7fwDCgqi7+i5hQSqS/rWwt/aec0YhhHZedH6vCwCEESZaNEiWeNS5wqPOpndWGVlO5Hx0Jzt58F91MdtzRj1tkeedrdPV3svF+G45OfgoaC+/RXjQoiLqinRwS1fZyNaRv/OijV9pJTZ7PHs4vkh43llTepnXdYP+K53LF53u2Vk/fhKNFuhzx6vrjMupBUzOdCbPK0FACCHMeMzj7qZI+jdYkCxhTIQqshOZje+dzZs6Wv+0jqJ3zhhZThACXM2OP8vD1krYXX2XiWTIwnQ57Ky+Y7XKjCxP0Xk1vl8/YYwZAMNWy0U+3v1ddrL9X2R2et8auXhWOtw7p73XdQnGn4hkIoSQR84Yp6bWm0K5apzB6UcRbd2IaOcWIMAhaV2t9THrNHjtRS4EgdqeDwMRBFiCEBDrTa6dmhkn540rT8iw6GIgf3RHJcO8HZLWFgPRdd4p5RYncz36vXVqEbPuWxFpXQNE+KsgtZf4/sErXZjZbNeV5cSMxvfkvQf/mXQ7m7TXuULb7Q3Saa+TKOpBFHVxIFIQvCaehDDAhCLwNdl0tbYwsrbWGNa69EoXTsqFK6u5K8upy4uxzfKRnU537Wy2a/Pi1OXF2Em58JXMvNGVN/aZcnzPPQ9tpF3ULkI4ino4Cju4aUhCAARhTJBzxlurvFS5q6qZzbKRnc52zOnptj48/kwfn3xhF9mxzbJjb4y8aH3oXzqc805KX8rKF5QhlnZIT4Q4ekF1xBMADPDev4rT3jJdC0IcycLlZeEya85XpPkmeD1E03vnjC6aqNSRyqc7jRjh06ncOvRdsjCZqHK+L/PJNuFBG0EXSJ1W31DFbBey56YLHkNNWKyuZtVidKean9wxsjh19tk1Jf4F6UcAwESEXZH2rrEgWQLCAlvlI1XMdlU22dbV4rhpeDkXro7kmaA1OJGL8V0WtlaCtH+DhUGHRa21IB3clIvRt9oogAnhhEc9FqQrVER9wkSiysWhrhZHqpzv62K2Z1QxOS/d2PxOYcIyXWUnMp9sszBdQd45TEVSd8eny5h+zWGi3hrVTTz5yGo5R95ZQnnCo/aGaA1uOqtLkfaJ0zI7I+xP1LLWNZ8v9dBx1lRGFROjyql3RmEWtFiQLAetwS1ndRm0htIZmVmtcu/qWuFH1mv1XLlQXRCmPGJha43H7Q3CgjZCCBmZj8/qTq0sTt0zdEabcSRhYiaL6Q6dHX3KwnQVIYTqyHj/hsonO9WUfnyxswaEEMJWVwu5GH9ZzY8/N1U+esG68OgZ8levA1D3JmAMVHAIehSLLqq7wj0gwjEiAiGEAIF03intq1NAQCjmHY6DfkCSKynrZwntpQRYQoBGlV3slDbb0a4aN6nsGQWechwupWzwbvMh46w30nlbOW9K600BgBkD0Y5o+yrH4RLDoitItBL69CqxJMQOcwqihRFQQJgSIIH3VBFEQgdE1dFUb6EuLyGNixdjOAgp5u02G15hOOhjRLgg8brxakagjAWJxtbr3LjzG48u8f1BE9nMEEIZYDyC6XSHLBZHdjbbs+3WGmm313AUdnEYdkCIBHMeA6MBwoTV3dyNcUhj/ICsOyOaVUM0M1fJua/KmSvKic3ykZ3N9+18vu8qmXkpX6jZexE4KRf66OQzoJTjMOzgMGgDpQIoFQg3En010dReqcJVcu7yfGSmsz07ne7qk/GXZjy+563TL1Mb+n2A0V4tJmY8G5tjLnCwusVvjvb1TrtHlsKYzFTlyp//Q/vrrBMAEBAKNIxxMlhl6fIGv7q6JW6KEEezsTmejcyRlu6VlUi8FqLpnTNWV3Nd5SfWqPxFLjiPtpHFqc6nuzbuXkUeeUx4xESyRFnQrsXBLzS4fTR+UQtqe/vH1pQAUBa2edS5QkTYAcDUGZmpYrqnyvlhnfp/MZxRmSpme6qY7VujCo4JYyLq87h9hbCg9ccd4x8HwFSwMFniUWuNUJF4713djDR5aFUxvVgzlvfO6NxUxchqlTWOUAEVcZ/yqHYxemoT5I3MR9X8+HOR9q97axUNkqV4sPkzIuI+C9MVNj36RGbje2dNMwihP0qc1+pqLrPT+zzuXHFmPeNRey3srr5DeNRlYbrMwtaKzMb35GJ836ri1NRjvjThwoSGLEyWWJAuY8pD7502Mh/JPHVnoQAAIABJREFU7HTbqnLiL1BHUxdz5GO5GN8z3bX3PfKO1OR9nQXJEAi9mKiud857p52WC10ujnS5OHpRicGfHgCAMOcQ9Np86acpHbznkNMeOcNAdBkOepXNdgo7v1/Z7KF21SkBmgQk2aDAWy02eC+mnVuN9qao7R7HH5Z2sa1ceUyAJYWd3wMEJKLtaxFtX/feaY+8Ua48ka48kTbbq2y+SzHvJLT3dkJ7b8es+6bA0QpCCFHgbUmyncpmu8brhfLVmKNoieFgGJDkCsEsNU4tCLCYAA3qLnZvAGFGgEUBiddj2n0rZf13I9K+DoCZR94xLDqVzXcrm+2WtZ7nJdG8xFfw3nljlc2yYydlZqezXeBHERAigFL+KG1eywXhpvEHEKqr79CjzvRaI7fu4HYa1TJDyhsjvTGVV6rwShe149mr0QxyeTGWD7Z/oY9PvgBKOBDC0Jms0VfHWQeibBPZNEZ6pXMnZe4rufCm7it4FcfzlwQtfTU6NLtHu+pBf5mt31gLt2an9mR8pPeO9/X26ZHef6qpBxDCAJgLEMM1vrl6ld+89nb4w803gnemI3O4+2X12fGe2n7cD/2Pxeshmt5Za1RuVTmttfdePGG9d3WdXJUdN40xdWe1CLuYibS26bvY2M7qymqZWVVMrKqea491IQDCmPGEhckSYSJFANgZXTYuNOMzq8sXwRld6So7MVU+8tZUgDElLOywIF0ijVj3twUglBMedWmQDB6LPHqEvKci7gftpTej7upzJ17YXmZ19E60MKECEGDAVBAetAgTKeDzug29N6qcyOz0nszG92V2+oAn3S0apkshZWEtPB71aBAPKA97psqPg9bgxJlaosrXovjVRS0gEULIGZnpYrojF+O7Mjt9QEU8IFSkYXvpTcCEERZ2WRAvUR50dLk40lV+LOJu5qyumu736nmRwEfXFFNBeNSjIuoBoYH3zhpVzXQ5P2ia0l78IK/LEmaqnO1bXc2R9w5TFrEgGTYWpBfq4Kw1P3VljczOmn8ust2fEk2XFwYARuqo47AmmlYDwtR5p7STU2nz/cpme8bJGcW8pWx5rHG0goEGDAcDQEAAASn9/F5upl9Il+8ZJ+cevC3N/D4gwAFJrwYkXnXeGY+cdt4ZC6bSQENAQDEiggJPCdDIeVNpJyfeO02ACAw0IsBi7dS0FmMvR8apKWDcJ0AjhJH33lvj1cJ5K523VSPWDhjRkIJoA8LUeDUHX0u9EGARARoToBFG+ILZmz89CBMxrk0jQiA08PVzcGT1i4W7L/HNcaaCgBBaND+vDQAAmAUpTzrLtSMbFV/vVD9zvHNaZo1F7jOfh42o+93m5xKvELJyxfGu2m51ySBtk16rJ4ZrW/zm4t1onHZUL22TXn+VbfAAh5QBTzukN1hlVwAQtAdk6crN4O0rN8Vba1f5zbhFOkc76t7+A/nF0Y66XxXfcaJZ+zRbVROAC1oQeuS8NdIaXdTuIx4BxhQTHgKuRdUvshtnrbJGLmo/71dTzApNwwqmIgFMBSAA7612RuXOquKi2oKNtWC9jXcGAcaY0ABTngC+YGTqNQEASC1rw+PG85uwMF1tIpKDuH/lp96/SCC86QLnUZdFrTUgVIDVZeOnzZ/w0W7gvfeE8kx7Z4vTvd8Bpjzqrr5b13iGXR53NqmI+0Fr+IZV+ViX2bGpsmNZywJtq2K2q/LZHgDOL9qs4owudZWfVLPjT+cHd1pGFqdhe/ktHne3WBAPCRdtkfS24sHmT02VnegqO1b5dLceb7qj8tkeYHza1IQ+21cYY4JrshwBYHpmBmC1XDR+4y+ER8h5a6q6ltPKel0QjgmPMWHhWdPdC/fjrLZaZY3P/Xeyvskj75y3Ujt5OtdHv6lsttukzl3dtQ1Yu2oiXXFovVp45LTxerEw44+lK44a/3Jy1uGtXDVSrjg0XmcOeYO8zks7f6C9nOZmeqeu46z3b73J6pS1mhuv5s5ZOdPOFHZ2lwJLMSLcIlM5byvrdGa9zmoPdJ3lZvKZ9TrDQEPnrWyipB4h5Dxy1ntvtavGxqlFieb3rddZZsYfUeApAoSdM6X1Jj/bXyPs/p0ET3tbQXflHZ72rvGku6nmo7uznU//A0Los2/72C7xigCYBJ3h7XCw8SMWt9dYmK58PXNiq3yUnzz8dTXe/0BX+QlC6FyJt0u8XlSFKw621R3vkUtapNsZ0OXOgK78+L9J/sd87mbZzE6Gq2yjO6DLgBG+/nb4fmdAl5X0lbPetrq0n3bJAHnkT/bU9sM71Sf3Pq3+cLij7pXfdaJZB+it8c7Ki1tDNX7SVlfeO40Q8gCEAqYCMGEv0v56tBdnlTM6d1ZXF2gKuSgAY8IIZRHGhCNA4J0zzuqylny5GKGto62mOtMjBAQYCOWY8OiiEdvXBQBMMKFB0/lNazXHqEd52OFxd+sbpS28d019ozvPqegMtm4wKnjU/sQalVtdzT0CCFvD21REPRrXTWEIIbCyODWqnJTTg4/K6eGHeHqUIO+9rrITTFlR66p5/zwCWLsiIUlFdNc5a+paTasRJoyKqM/C1gqPOhuAMa19zcuJXIy+LCcHH5azwzZCNblzVheAcdkM99R4zTUVjS888b75AHv0MXXBi+jM49t4AMIwZSEmNPi67NUz9+KcdkYVjbvPd5NofhW1OSuP+OQCmxl08WiJRQgdND8vQoYu/vKcI4QeXPBvc4TQ/gX/9pWhLhHFDNVNbKaRJ3vuOjkPLGqtRcMrP46GGz8Je+vvF8fbvyxGe/+CLonmXwwAALOotRr1198XnaXbotW/gZlIzzSFAROm8umu996bMjt2Vpfokmh+K1CVL0/21ENZuKK/TNd7y3RtdUvc3Lou3sEYiPfeEwKUcuDeIbe6xW8ubbBrlAEnFKh3yDmH7N49+cXeffn5wy+qj3a+lJ9MTsyhd6/Obun16Gie6SpA8883hr9IGds5WzUaiK8f8LKqJd9pnZP64JpD9M5pmVmjMqtl5ozMztPlfBGsqqZGZiNdLl5Yy2q1XNSNY87qcn6QR50rLGqv8ai1zsLWKgvSJUxoSIN4EHZW32FBuhy0lt5U+caPy9nxp+Vk/wOVT3eaB98LG3ac1aUuFweo8bsvJgcfnFml8rC1ysLWKqY8JkyktQVn0BFp/2bUXX+/qonnB+Xs6NNmvIvXOwJ6iZ5A9Mctoa/wVSe//waL6hJ/1sCURTzpbpIg6pticdjU6Ep0wca2S3x/4L2zcj76cr77+X9kpwcfsihdoUEyJGE85HFng6f969/2MV6ihvfeYwyuLGx2/5Pq91XhstUtfnP1qrjV7pFB2qH9KMEtEZGYYESs9cYab4xBWklXzk/taDY2J/v3a6J5sK3ulrlbvEqSidDr09Fs3o4vLVIMj/2cvQ1fkmzW8dTzLBhfKRr3LvRCn4Wnt3xik+/UKx8efSPUMWmV6XJxZKrsWFfZyTfxuXZGZlZVU10uDhpC9kxYXZ3VH+0CwK+JiPtB2r8etIa3w87qu2Fn5a9E2r8uRHuNiWSIOit/dWaJuTi+//85owqjymlznC8mmrV2ZIUQOgKAj4CwQKT9G0HavxF2196NOqvvirR/kwbxgAXJEmoNb3mrKyOL02p2/OkpQkiV8wNUJ8HPJ5r+0b/OAPDynxsA58+yC8+eOnT1/MjyJf5ygSmPeKt/Q7T616vTg4+srhau9sHWLxvVvMRfNrxzFhN6V2XTXcJ4jKmIWdLdEp3hrWiw8WPCw86FmxAv8drhalKYI4T+QCh8tHaV31q9Km6tX+NvrF8Tb3QGbDluuQ4XECBAYLTX+dxOF6d2tHdffr53T36+90De2b+vvlDSfSMJqxfh9RBNAABMBSEsBCAXHAMwECYwE3HTnQzIO+OtLpsU/LfWceYR8s4aabWcO2sq5JEHwBRTFmPapJovgDrlySNMWYQAU++dc05Xtcbnt2ul5b2zzuiylhByui5kqOa6nB+U08OPyunhR87ql56E3lrprC5NlZ1YVU4vfjzeE8YLVcwPvLPayHxczY8/Y2G6UrsQ9a7ypLdFaC30LtL+9WR49ecAmBSne79HL1l47r33QIgxVX5S+Vr1VC3G92iYrjauR1d43LtKg6iPCQtZ1F6P+xs/9s6q4nTvdwih3z21T2eNq8XQc++dAcAUCBWYvdDd4zHU3vOY8rSu4wXw7qw+WJfoFdUhX+IvE7V7NCY87XeC7vJbYX/9h1bLTC5O79XPHAD0HfvcvcS3D++9Qc4iq5V31irMRGplMTnT/QWCLonmdxDeIb+Y2DFCCoq5nR7t6PthhBMe4JBQoAghcM5bVfmyKl0+PzWj+ak5mU/syNqLljm+PF4X0cQYE44pCwHjC3XF1qaCVNTNKJTVPNPqpg7yW5Y28N47I5smjsoj7wATBpRHL9OQARjT2l+dhbVck3femsoamblvnWh66+wZ0bQa1URzocr5QXG69/v54Zf/tzMq+yY7ruU1atmpl9nUGV06O9831eKomh1/VneEizZhQStdvv53yfKNvwtawzdF2r8ukv415JFHgLAu5wfoG3Q4ems1YDyyqjiV2fgeAKaEiZSwoBV1195Ll6//Xdhdf0+k/Rssaq1HvY0fAWZBLax+DtH0zjij87NrCpQwTFiAqahJ4wVy4tB8tGEmEiBEIITAeyutkdl3ud7yEt8RAGDAhBEedoPO8lvx0tbfyPnoS6AsBKOK724dzyW+TXhnLQA4b41CAGCkiKksTm3dlHipZfkdhXPeEQLjbG6nR7twH2OEayWPJ8oYG6Gruj3VOWSd9c7a1xe0eD01moApZiKlIh5gKmLAhDxLsP2rjTClPOywsLVGmGghhMA9ks6oZt8kbfvK4L03qpqpfLrDo84V5J3FlEc8bK2qIFmWhF6I1DQC3qssTFcwZaF3ThtZnOpivu+0fK2SFS+Ct0aaKm9qKVV+5uvNgnQJCAu8s9IZVfwp02zNWI8E2QGgcs5oa9SimOz/wTmrvDWaBckQM5HyqLXGw/Y6/iOkohqZJIsaW0dMqHJG5SWmHKG6kYgwnorW8BYLkqFL1BblQee8fdXWqdmJLhdHIulfJyxoURH1eNy5UluOXuAt3zRlibi7RXnYQQBgtcp1uTg0shh7+83cOi7x/QAmVBAR91nUWiEi7GLKo69UPF6y6OcS3ys89qz3POk4785c0C4D4N9lWOvPDGi+Mx8Er4toEsKCFg2SwZl+YiNz9Gz3HYxp8xLeICxoIaitG3WVnVhVzS4sk/Q64JGzqpzIfPIwaC+96d1X7jUsbK1gcp7jzdPAlMd1s0l7DVMe1Snh4lQVs92mPvFbg7NG6mpxrIrZvtMyAwBCeNThsdukPOoCNB663+JTxnvvAbC0zulyevSJzKYPCRVJ1N/4keBhl4qoz4JkeNH7caExndXWOyuz8X1TZcfeWRW0l94MWsNbhAVtXn8Ypedt64wudLk41OX8wBlVACaMingg4t7Vih99Cghh9AJXIwBMqYj6IulfozzqAQCpdUDn+6bKR4116SUucS6AsICFyRKLmnn6jGLfS1ziEpd4XXh9qXNCBWGixePuZtRZfVeX80OMyaH7WtgdMKGYskjEvWUeta+IpHeV8KCNvHdGlROVT7Z1/YL/1iI3HjlnZH4qF6MvdbH6jtVyDphwFrXXRdq/zuPuFRYkx9aozBn1VMMLJpQDYUHcW18LWku3RdK7jimPnVGFKma71ay2A/w2zu0M3lllVTnRte3koam10RALkiWR9K6FnZV3ZHZ6n1B+4qwpG3vCc1Fne3nUkOlaBso5/SyHKMJEgqmIH8lbOauf5UR0ZhdKKFdN/a5uxsTeg7tIaxamLCBUJAgh1Gi9qtrv/hyL1CaqiglVzmpS6196jxBgBGfjnT9kc3/3ZDbZNjIfeWevUx52g9bgZjXrbbGovU55OLFGZl8XnAeMCcZU0CAZiKR/LeyuvkvDdKlxUhpX89EdlU92nNFPe89f4o8CAABQFhAmWpgFaT0/eQyk1oMFqN1XkPf28dpmK8upkfnYaZk9S2OVBnGPhskSpjzGhApndWmK7NhZXdEgHtAg7gNhAaY0RB7VDVzWKG9NaWU5MzIfWSUX9Zy1T32k0CDqUhEPMA9STHmcrt1a5ml3K+gsv0XDdBkTKkR7cCtdu/nvnKrmVlfzztV3npj3Rhancj66a4rF4TMzGI0hK2q0YlmYDmkQD4gIe0BZgAkNkEfOI++9NdIZXVlVTkyVjxqRb/08kwUWJgMatVZx03RitcxNmR05o8v6OkV9zESMKU+a+wHeOeud1VYWp7pcHFpZTp91nQBjDAAEs6BFg7hHeNCu7zELAKDZnzXeOe10NbeqmltZTmsTkvM/7gBjQsN0qbYpJhww5VaVU1NmxwhjSoN4SHjYxoQGQCiv54hzTsuF1TKzshibKh97a9WLNIHr48eE8LBDgqhPmEjr/gYaAK6j1Y3EoLKqmjtVzawqp6a+Jt9e0Oar4ycAGBMR9aiI+piLBFORAGnWV20UZLw10jbz1MpyYmU5vYheMiaUIYwZFXGfBnEfUx5jSsNaKhETOEfT+Qy+sezU+XxfZaf3nVYF4Ppa87R7lQbJwKpyZlU1M1V2Ysp89KJjwoQyFrc3WNzeqOcrJrqY7+tssm21/Naf4bhJrocxTuOUtI32KpvbqapejQ3l6+o6BwSYYMLjoDV8I125+d/mo4e/MqqYAMATBAITKliQDEXSvVrX2vWuAybcO2eMzEfVYnRXl/ODRvvw24H3zshi5KwpVTHZMTIfsTBd5XF7w6rhNGgP3zQyP5X5ZBsh9DTRpDyiIh6ItH897K7+IGgNbxEqUl1lxzI7vV9ODz/UVXb0LZzZI9SC3tXcVIsjlU0eyvz0AQvSFRa2VoL20pvp8o1/iymPi/Hub73LFQDYZ2hHYgQYEx52edRes0blpsqO69oer9HXIngAADzu9HjUuWK1nBuZj6yWma871J/5QMSUx82LrYsJDRBCyNUuQeWLyiwIC1IedTYRQqh+cZdTh54viVQL10d9KuI+ZjxCANhbq61R+dc/ns7gjMxVPt2hIu6flSQQHrQDyqKgPbwdzJfelNnpPZeZ6unrQijhYYfHnfWgvfRm1Nv4EeGijZD3usyOyunhxzI7vXfmonWJV4NaTAKAsKAtWv1rtTB5b4vF7XXCgw7hQQswFUAI99ZIZ01lysWRyqe7cnr8WTne/4Oy5syo4imCw+L2Rry0+TMWdzaICDumykfF0YNfmCo/CQcbPw77az+gQbLEwmTovbPeeWtlMTFVPpKz48+L0d7v1GJ8zyq5QOc8a1jUXg/76++LVv8aiztXWJSu/v/svfeTHEl2Jug6dKTOLAmUgAa60d3sGQ5nyOVQLdfufrk/88zW7M5s787OlsZd8oYc0dNyuqEaslC6KnVkKA9X90NEQhYKaAmqZ1YArJAR7uHh6f78ve99H3H8DrH9DrHcJiLUdbtnfsqC5rrRWpyEt8tHB1+OH3z2v8dZfAQhBK9wNo0BxlQwqZAFzTWnvfJHTrN3ldh+h9heq9qwlcrTocyTQT4+vJUO9z4r4vFOBRV6paPJ/Oaat7j+p8Ty2gAAU8ST3eR467cyi4+d5uI1p7X0LvXqZ1hQP1MKTGCqpUi1yON8fHgzPnz0q3xydOdV41QV5jHmN1ad1uK7Vtg+R736CrG9NsTEhghhLYpECx7zaPiAR4P7fHL8dT45ug0hEicdtCHCxK51LridM3+MLaeGqB3yyfGdtP/494gwz+2sfmjVOheI7bcRs0KgtTBaFsVs/LiIx4+z4f6X6XDvc23yKYTwVI5TCDGBGFssaK45rcV3WdDaYH59FVtuA2JiQQCQFkWiinzKo8EDHg0f8MnRbS1F+qq1+8c0iDBBmFhW2Np0WkvvsqC5Rr36KmZ2DWFiAQOMkjxRPBvzaPCgmA7v55Oj23mZbTuVKQFChBBlNqJWYDcX33Fby9epGy4Rx+9iZgUQU6fkrS5ZY1683pQHx3S2f/8fpltf/Z9CCQ4xcVjQXKutXfvf3PbKB3zav5dP+1+n/Z1PFU/H4JRsLQAAQExsp73yQbh84W/mB7HZ/oN/jB7f/L8AAG/d0YQIIIQhaXRIb2nNupDGKtq5z2+Db0Lbd4r9cMpAShVaS04df8Fvr/4EAKMB0FoV+dSp93hVuAGdxmLN8hpn7VrviuW3NjBz6oonQ55Od4tkvC2y6KCkrHl7AOQqZZtoJTIej7ey8cFXABhj+c016oZLTmPpXWOMIpbXchuLO6YiRJ5HPtzmco864ZLbWLpuBa0NRCxf8nTIo/5dPhs+5Ml4+207DNWJjFMnGOezwT063P3MaS5fJ7bfpk6w6LVWP4QQYQgRFll0qJXMnXpPPCnSqv7PbS0zhIhF3XCJufWVIpnspFoJrSQHZWTh+c2lVDvrOY3Fd4ySuSzyqRJ5pEUeuY2l3Bg9xwVV7cB5O0vMqS3ZQfscIszTSmQine4VyWRHy9Pl8DBzGnbYuYAp82WRT8r2eOQ2lxJgjHpCZl1upAhChN3mcos64ZJTX7hGmNcyRkuRx30ejx6pIjtRycVoVSiRCZFN9/Po+Gvq1VYsv7lO7aBrBe3zfmftZ8TymoQ5dae+EIO5gwwhdhqLPnPDJStobzq17mXmhkuqyKb5bPiQzwb3eTx6VEb63+IB7N+wYWYFLGxt2o2Fq8yrrxAn6JUk+WWBI0SYGlDqRxPb61SpaV8rxY3RqspQTF++rx1Qv3HGrncvUbe2pHg6BlorkUaHTmPhqhW2z2PmhJjZtfk1xvG7Womz5e8gggizIhreByc5UKhitqBWgJldw8ypYebUcVlMxkpgE7ExtQJjzBPi9mfvgSjzXydtWrF2GcTs0K53L2LLqTuN3lUWts+VkrP2EziJdvwOkzJHlHkAQoAwsXk0uA9O2cSwZdesoLVBvdoygBBh5jS0yCNhz9p2vXvZqnUuEsfvUsfvAUQoRJiVLCWyUIJHiOz5ZdbheUdifpCgbtihXn3FaS5cc1rL77OgeRYzp1FGBRGBACJjSaGVKqpDbQcR5hkAjIgnO4iw8UvZKwgxttyWVWtvUidcJG7QxcwODdAaIUytWuc8CxpnMHPqiFg+gBBBYAxmTr18TkS0knkRj7dlFh+f+H7L/iPm1RepV192Wovvuu3lD6hbX55jcAFCBAIAtFaCSJEjavnUCboIE9sYoEUaHSBMxm8jeFMWN2JKvfoy82srTmv5Pbe9/D5xKgwxpjaoxEuwUkLbRQdTK6C234EYW+V3K+5DhEcnRWaromLGvPoqC5vrTmv5Pae1fB1TK4SYWKWABmYIUwdWWTdMmQ8xsVXBIy3ySGZx35hq/36GKxti4lC3tmQ3elcQYR5idijT2VE23P8DeAUesnxfCFPH962wvektrP/cKCWMVoJYB03wloVa5oYwJJRBq9mjy5vXnA/GfXE4PJR7AID+93H/H0YZSCshi2SoinyCMHWceu8KZnbNqfeuyFLZZQKqF1nKDDbOMK9+hrm1ZWC04rPRw2S0+1k2PbqtinxSVUG/1ROYMdpACHU+G9yf7n/935UsEoSpi5lT99tnfmr5zbUimWyLNDosK4KLBCFqQ0xs6oaLzK2tMKe2RG2/p4psko52P00G2x/zWf+eFnz2qqjYj21a8jgdH3yplcwBhJDafg+R8h0S22vb9d4VyeO+5NlEq5IKCQADEKY2wtTF1A4xnW9wdi3uP/6tyGdHiqdDBdEJCxuE1KuveO2zf0yYHUKEmZZFKnk21jKfKSlSUyopSQCMKWUyqUudWkmq7tVWMbNDkUb76fjgy3S0/4fXwRCo5bXd5tJ1K2ifQwgzY7RUPBtLkU21FGklEaqA1hKWEqEOtbxOSR5fW2ZuuKxlkfKofzfpP/5tkU52T2qnPKBAIHk6igc7vzfGqGBh85eEuQ0raG8Qy20UyeL1IpnsyCKbzKv6ISYWYU6durXlct6ESwBCxOPRw2S482ky2vtc5LMjLYv0m2i8/4e93ubvDFHLt8LWphW2z0EIkS7ySFT45XnKvIxwunVsuy0WttYRtfwKVetkg73PwQmO5twgIgwzu1bRZdmSpyMAAFCCR1VxYDxXlaJOsED9+qrTXHyHWG6DOH4n0qqACB29mKJXPBsXs8EDLfKomA0fEjdcZH5jzQqa6yxsbWDm1vPx8e1suPeFlkWiZJEC83w0RiST3SKe7gIDTomqGQOAMdQNFvylc7+UeTIAxhjFs7GIJztaiqRKEdvUqy0zr77itJbfq+ABbS2LBCI0eJWq1tNxQgRialO/tuLBjT/Vgs8ws2sQIiLi6S6f9O+CMg1LMLNCzJy6KrLy8Cjn69NzN8QQIWzXe5eD5fN/ZdU6F6hXWwYAGJFGh2p6fLdcb4xC1AowtQJsuU0vaJ6dR4bTwe5n6WDnU3CCI/ikGUIdbLltp7FAieU0VJFHZfRytKWVKgAAkFhOHTO3Tmyv7TSX3q3mRJj2dz5OjrZ+d+L9IcIQY2o3F98Jls//ZeWMrxglc5FG+6rIpiUFnzGY2gFiVkhst2XV2uew7TaJE3TTwe6nVf9/VEcTQggBQhhR5rnt5Q/85fN/yfzGapkZ5LMiHm/rIo+0kjmEECFqBYjaIXGDBavWPl/1v5cOdj9N+9ufgFKR68VGECbMc9rL7wXLF/4zsb0mttymSKa7fDq4r0UeGaM1YnbAvPoZFjTPWkFrg7jBYjEbPcrHh7f4tH+XT/v3+LR/V/JsVK6xMlNFNhbpZE8k0T4i1LHrvctpf/vjUi0JcaNPSJ9DhDBlLracxhwrzaf9u/m0f08k0z3zNjO1zxghkFgOcrrL7OzF99yfHTzmD+5/mX3yvd3/+7rRs2a0lqrIpyKfHWNi+YiWhTPMq68qURJ4G2MMwpgiagXUDnqYWqHSggV3AAAgAElEQVRWkhfpdC+bHt6Mjx/9mkeDeyV+7e1jSgAoNyFiuXuxFBnExKKO37NrvcuEOQ1ieW3m1JaVyKdK5LPKEbURoQ5hbovYXrvMwRcJnw0eJMOdT+LBzu95MtlWJ+A635ZpKfMiHm1pkc+I7XWIEywwt77C3Noy8xtrzKutKlnEqsgnpaOjxFMHkDmYWGFZzFViJflscB+VOu4nAhkhABAT6lHbazOvscaccMEYrZTgMy15rOZ8kVpLA7RGhLkYMxdbboswtwmMUWWkb3A/He19kU0Pb8qi3LRfZRATGzO3YfnNNWqXDACqyCMt+UzJIimr65UwWsvyHTIXM7tOmNssC9skL5LJTjY5+CoZ7n4m0uiVkobGGIMIjfLp0W2jZYEtp0ltv1e239oklt+x/NaGEjxSks8qp93BFWsDpnaglchEMtnNJgc34uNH/5RH/buKp+NXYcX+w76bGWOM214BAEAEtBJS8Jkq8qksxQv6VcqcEyfoUTdctBuL15jfOMOCpme05EZLLuLJ9mltVFRdPmJ2iDB1cJ70eTR4UESjRyKd7ss0Oqhwzr7dXLxGHL89x3ACCHE+OvgqH9GvKv7dJ86UEvm0iCfbMkv6AGNG3XCxKu6DxPbbiDC3iEdbydHWb2RRYg5fpI5TBZ/JLD4+FYdd/YmpHVhhawMR5vLp4H4xGz4SaXQgs9kRIsxH1PJcoyV1gi51/A51/K7RWqaDvS8QHtyr5vAr1/dqnAJM7RqmlqeKfKaKfCLzuF8k0z2RTHdBCdVC1PG71AuXi3iyo3g6KteNp88GIYSI2i5mVmjVu5e9xY0/o7bfNcZokUx2izJF/kALPtNKCeL4XeIEXbe19B6utc9ZsIMRsXxjtBLJZAcROqxwnC8d9hAmFmZ2iAlzIaGOiMeP8/HhrSIeP5Y8mxglOSkdj0W3vfKBFbY2rVr7PKJldoZP+/cgxkOgjZrj/yBCCFHbx8yu2c2Fq/7i5i8xtXxjjCryuM8nx3eLeLytBJ8BY3R5/9oSai1dt+r+Rdv0NKJ2zWhZFPHoMcJ0Vq1zPw51IEQYUysgTrhQOcp/BQEsxaeLyXY+Prot0mhPi3wGAMLE8bvMq69gZgXEDRZsYxRmTkMrkfJo8ABhkj+LrYcIIYQIQ8yu2bXuJX9p8891wSNV8Egk0720v/OJyKIDowRHzA6tsHPO4dkYEepi223JPB7waPgwHex+lvZ3PlZFNjFKiXldgBU0oyKe7hbx6LFV65xnXn2FOkEPM7tmjFYQoezFsYQIUcTsGnWChRLq5Ta0KBI+Ob4j0unuvxRHExNAmQWdeov0ltfZBSmMsBzkfl/3/2HCtsZorUQm8rifZYc3RF7Su1h+ax1TFhDb7yKEGUCIQAihUZJznm7xePSIzwYP0uHeZ+n44MuygOIt0hqdYFqKDJhkmI33vzRaCbt2dNsOOxeYW1vGxPIrUHb4bN7JaFUUyXi7SKN9Ho8e5tPjr0uM3fCRKvJXRj3ejpUvT4p8mgx3PlFFNrHDzgU77FygTrBALL9dRXIbhLnNCqplqjSi1lrmKotiyZOh5MkgGe5+JvLZ4as4Hw0AukijvbKtMgqBqR2WG4wdYmqH5W5nnpMVNUrmPBlviXS6XyTjx9nk6FY63v8Dj0ePlOAvn3SfMcnTYTY5uAEhRJbf2qSO363I9L05NdI8LQrmWUKtpchmh7JIhzwePebR4F463v9DPuvffR0RvdFaKJFHPBk/nh0++AeRzQ7tsHPBCTsXEbUDTJhPbK9DgNd5+haMKovhJtvl92L4IJsc3swmR7ckT4Zvm3f137qJdLo/2737d2l/5xNT0mhxLYtES1FGu41WaDZ6hIjlqyKPMGM+dWtL2HKbzG+cQa9gIpgbhBABhIjRSoo0Osin/Ttpf+eTbLj/lZZFrAWP57rSSuQR0LKwGwtXWNjaJLbXIk7QI07QU2Uk9Mn807LIZGYGEGECIMRVar+tinxmykI2rQoeiWx2KPNkpHg6fFFa1ihZaPW6w2+ZBNWyyIp4sptPjm6l/Z1P8vHRbS14XEYsMYMI05ILWRVWvXvJCtvniO22qBv0iO11q0juK7+vEFOb2F7baC1lHveLeLyVj49u82hwXws+UwWP5wJtnFAXUytQIo9EGh8BXRbbPNNlRL1w2a51Ltj17gXqBD3Fs3E62PsiHx/e5NP+PZFGB0ZLbozRlaPvqZI/MqJuuEi92pJd717MJ0e3VZFNZJ4MQalm9kLHEUYYM8GTYT4+vJmPDr7KRvtfFvFkp8rQqOoAWzNKZABCSCy3Sb3aihU016kbLpYiF3kEKogBRJgyv75q1zoX7bB9njh+R8ST7XSw93k+ObrNp/17MpsdmzJiaiChLracuqz4L6njd62guSZq3QssONrQskhVng7Aj4QRRJhYzG+u2SVEZJNYXisbH97IBnuf88nRnXzav6t4OjJKFQACiAhzc9vrqCIdK55PiON1rFrnvDUbPbSC5jp4ClHJq9dLELNrxAm62PZahLn1NBo9ygZ7n6XDvS941L+veDo0WiuYpwPFs4ku8oi64SILWhuoDB51EWHunPf52fmjpcjKA8PxbWL7HStsnyNO0LXC9jkYjx6JJDoAL0SJISYWdWvLVq17AVtuCxhjZB7388nxbZFM9v+lQJ8QgphQyDAGc3aZ79V+mIgmMFormSuejpLR7mfJYPsjv7P2cwCAsf3GOmNWyGxWYwzZWsk8ncV7eTR+mAx2P01Hu5/xePiQz4YP3wywbAAExlAstMO45HmRFyWZdfpDkFlX6jicUPq14pN9mQ0e6yIe6NriVctrrlG35HFEmDpaS26U5KLIxiKd7mWTgxvJYPcTPhs8EHl8/N0ojQzQSuRK5FMAjDFY2koU8YuOOUIQIgQQpZBRAkhRmCLn5pWTuxpzCQCYQYS/yiZHt9zG4rUine7aYfdS6XCGi8RyW6XCEUQlHXuRalXEkqcjyZMRj0cP+WzwII/6X4s87mslOTjpfRhjRBrtJ8O9z7QUqdaSM6e2RCyvTS27Thj1CcUOJhAjBJBRIjdK5sk0fZzNosfp6OBGOtr/nMeDh0Ua7akiO9XJBAAAyZNhNjm8afS8YrixRiyvTSy3ATF1ECZORTEIjZL5fJxFFh2WkdP9L/Lp0e0ine6JbHb8uvYw0oASoTGYTfkk/zSbHt3xWqsfapFH5QGsuV7itpgLAIBayVyLPC3S6V4Rjx4lw91P0+HuZyKP+zKPj9+g6tKYio5XK5HJIp8AYEDpyIv0VcVShECMEcAYQ4wwwLDUZIdKAckLw6X896NCJNLZEQDgjQr0gqVzxApbG4jaAbG9DvVqK69zNEtHDROjVSHSaD8fHdxMjx//Pjne/vjFT9qNXgaA0RATiwbNNWw5jargpmOUyMFzjuYTWVUAAADMb1DF07GWRVnpbYzWkicii/sqTwYyj/vfKqJVSQxrKVKRjHfy0f5XydHW77Lh/pcvftRpLUlgtIaEOFatfQ5bboPYfpfYflsrkYJTHM2SB9RtalkkWvAZj4YP0/7OJ+lg9yWBhNd2GSJE3XDRaa+8b4Wtc9hymzwaPkqOt36bHm9/JJLpvuTp5PlrICzXHJH7i5t/XjpJrU0raK2LNDrQUmTgBEcTQoghwlQV+ZRPjm6ng51PssHeF0Uy3X/h+ShEmCFqeW5n9SdWrXOB+o0zxAuXcDLZqXCUc0eKMq+24rZXPmBBax0zp55mu5/GBw9+lY32vxTJdE8Vz+8piFDLSJkbJXN/6dxfVIVim1bYWld5MtCiSMCP5GhCTGwWNM667eX3WNA4i5kdymS6P9u79z/45OhrkU73lCie6wtmdlCuwZIHS+f/gnWaP7HC1iYLqyxQWVRWzneECGZ2UEIc3CZidqiKbJwNy4NEMRttKcGfFR3ZtcJ27HbP/LFRMoeIUGJ7LYSpXTEYPLfeaSWyIh5vY2rXnNbiuxBhRmy/a9Xa57UqUpnFA/CCo1nWK9SWrVrnAracutGqkFl8XB5qZgcVjOKVhjBECIEnUt5Gg+eI1WG5v2OEXl1F/yZWa2HbdpBHGGQQgu90r5PsBwOiziki5qTr6Wjvc5knAy90F/zAWeidYecur7KrUir+6WfJP+1uxZ8W2XRfpNGBLLLxmziZEBiDoSgYStL19uPRh+fB/t37/NYXd+Nfzw77n/+QlEGuY6xmUzWwFRsh9u7xweQoGzqegZZTneSJqU5FWvK4lHOMj0Q23ZdFOjLfkf/QaFXEg8e/M1oJiIkFESb59OiOyGYHxhgFgDGEQOw60KnXUePKRXr1/Ca58OkXxSeMwU+Kwry+/YqcV6TRAdBai3S6l473/4CJFZSqT5hCAFFFRSG0loVRItNSZLLIxrJIRzJPBloWyavoXgAwRvJkCCJzV/F0lEf9e5haAcLMDWu0vdBjqws9stzt4l6ridoEaYCRhp98Orv98d34H2eTaKukMklHb5qGUIJHPB490oLPimS8hZlTx5i6kJSKTc8WQlSFXaWUpChiyZORyGYHkseD1xVwYQwRJYAu9nD3yiV6rV7HrRu31a079/MH+fTothZ5hNneZ4SVlfNluxAao2Xp3PJIFdmkSKf7Ip8dl+29weHLGGOkyCRIh7OjB/84L1ZSokiKZLQlstlLDhTGEPW6uLfQwYvdLur1OnjBtqFDKSB7+2r3sz8UnwAAHr/J+P57M60kVzwba8Fj6AQLCDMXIUxhVTp86rWiSIrZ8FE+Ob4jeTo88TPVGip5NjZKFqWCGnUxtQNZCQm8LdMin/Fo+CCfvDqyr2WRyiw5LvH2WpTyvcytio7eqP9l9ffgfj46+Orbr+sQEdtrWWH7HKJ2oAWPZRYfi2S6J7O4r0un/TkzxhgWNI6y0cFXLGitGyU5olbA/PpZljR2ZXb6gUQVecRn48cime5VTumL99cyT/r5+OgO9eqrRitRCXsslBHrbAoqrC9EiBDb71i1znlEmTeHc4hkuifzZHDS+me0ViKd7mdD9IVV61wwWgnM7BoLGusinR5UsJ8T5933bRBhSpygx4LmxhyXLLLZkUgme5Knw5MYEIxWhYgnuxnCzK73LgNjNGZO3QpaG/N3B+bjAyAEZaEeAxCWan0lhVRVUHoSB3SpkWNeuT8980kluczifkHHj2UWH83xwnZj8arM0wGfDu699MyYWMwLl6xaexMChIp4/Fhks6MSSyvy0xQPEYYoqONmUMetSt0HJDMVMQsN5prkzIJ2vUW6Xg03Th3811jYwK2gTtqNDl2gFH7va8oPR29UKk8gU6bQBxDCYTra/0KHqE4bqNVctv7kwzOOI4QRt36T/P3ocf4/ADgdGP5yI8ZgIAoLy2S99Xj0i/P9g2wv+/3vDtL/OjuSez8khYPrGKvX1g0AYjMYzu7FUz3JMpPmuclfQiM+6cU3e77TTCtZQAh/l/S3P3oqLAXMs7gqy4LYdaG32MNLf/Yn1i//+i+cv9U6NjduiT+AU6h8nvZWz5V5DiCEh+Vv4RyedcIFz19d/vmaL2/5/wMAwABCePdZygnUxQuWR99ZXmHvXlmg185tkAu2DW3Hgs7gXnznV0fJ/xNP1OibjmkV9YwghFsvUVy8KmnwzDt8k+cCAACMAGYMWosLePnPfm798swqWUvTNL55K/0MQhjl0+M7rxxP8+y/zBu197SHxoAySpFCCP+/2dHDXz2958lzECGAeh28cOUyvXb1Ir125TK9Vq+hpmND+9Mvio8Pj9Uh+A9H80QzSnLJs7Eq+AxAiBCh7vzQcAo9EACgFKXgs9GjfHJ8R+UnY4vNXCGNp2OjVTHnqEXMCspK8rdnquARnw7u82n/nuKvcjRFKvKygNBoJQFCBFHmIWq9trr9STuiiPl0cD8bHdz41gwdEMCyKry1iYjlKcHjylHbF9nsldW1MouPdJFP3dby+0ZJjqnlM79xhiWTHT45unNak1rwqIjHj4vS0Xw5cmiMkVmZSnWai9dKR5N61A0XqRP0RDx+ivWFCGPHa7Na+zyECJcV0rMjkU73qmjay2a0Eml0oHg68hbWf1E5mqHlN9dEPNnOydHNNx6/72gQY0Ydv8vC1gaECCuejqrx35V5cvLcV6ookumuEnzmL27+OTBGE8tpWGFro0gm22h0YD9toGRwRhhbc1noyoGUZfDlRHsC+3rdIb7ac/sQYSqy2bESfIaZU3OaC1d5NLh/0qEJYWJRr7Zkha1zquBRMRs9lll8VGWXTqUOQgigoIZbC6tsA2GIEQRocCh280TPQBU5ZRayWwt0pbtCz552r9cY9EPS8Gu4UW+THvlX5GhW+ycsd0nwdGOuhUgDAxUARkNgDCyrF/UbpANfMgOAEdLIJAXJjVv8D8AY/fV9cSdOVPRD84TVa6hx4Ry9qDXQSguVpCDmuQHf5jm+rZlnMISvsrn/AhGAGJXp0O/QFnhde9/FXmwjCNBsZwc8UkqLSSSH+wdk59IFeuXSeXIZlvRDrz2FfpP2vm9TGuhCGH54rA5+8xH/59t35a2HW/LBj9H23N5kjgAAgNZA9wfq+M5dcCtNTXo8UMcXztGLl86TK6Ve7g/Zy395hjBhiDIPM6dGbL+LbbeJCfNLCUdMQRmxRABC1Dj3/pmSuqa1jpkd6hJXV6aXzeljb7SWFV/j7FVZjvL8qJUxRlW4YQggROVm+nbfjDFKlmntIn6pwvvphzTQJa4VAGNg5RG8Sf+NKbMlFel7qqVIvz1uH0KEqY2ZUwfGaCWKuCz8O/1+Rmupgcx1BaPByPIRZR6mdnCKo1xhu5U0skiNLHGZJz6hknnleGTAGA0hJohQDxHqQviU/gZCiBCmDmFOTUmezK85jXnCGGMgwlIDCYwsYUdlEt7yS0f/x6PXgQCiCpcaalHEimdTLUV22p5pjDYQYWFUmf7XSuQAQoTKQivvWXqgkqw/G4sk2pc8HRkpMuL4Hbe98iGAEButBHX8kSnZRCxiuy2ntXyR+Y2ziFBXi3yWT/v3ZB73XzUnjDGGOEEhkmg/Hx/exLbbol5tmbrBAracOiJsarQsIEQYEebZjYUesb0OopZfxOPtfHx4U2TREXjNnAMAAIwhXVyzzl3/ufdXGEMCIYD3vsw+Hg/kEajgJq6PahtX7Pcvvu/+7Fu8kidmOci1bOS0FugKs9H3pqw3t7fK4VTtgK9Zil9tWhsDIRRKGfmHG+KzO/fkrYIbnnPzvZCMnmaNOmpeOEcvSWlkf6j6x8fqCGGAf+h2/z1Zmprk8Y7cOh6o4+0d9fjhlnxgWdC6dJ5cBgD8wC7adzeljEII6sNDtT8e6xHGAOe5+RfDMPCsKWU0pfBwONbD/UO1f+8B+jrLTba0gJffdt/ehsEKG8j85lmnuXDNqnUuUMfvEtvvzvn3KloTgjBxEGFOBWGh4tUx/5etVBZKteDxKynOjDHAGAXKDdmAkgoSgfnPW7RSOadI5hjQkz9kzJP05Xy1L6FVr++/MdoYJU0pxpAbJfJvfbiEAJbV4E6tYplItBQJeA1FmNFKQQi1UZIbJXNAmVdxlb4uIltCiqTItBIZeIVDpbXkUOQzrWRugNGwjPi6iFD3eZ5FCBGmDmZ2Xcsi1UU+01Kkp6Vfq/5LCKHSlcAARIhgavmYMB8i9EYR5e/FIEJzCjxdss9MSzjB6/uPCOPz8YcAIUytABHmzSOX889Jno5gSm2VpyMti5Q4fs/tnvmpMVqqPBkKhLBWIsfMrllh54LTWro+dzRVkU/5tH9XZLPj0w4zRstCpNO9bHx40+uc+SlthnNHs4GyuK+FVhBhhm23Qdygh22/jajlK56Ns9HBVyKdHb4JLR0mkCytsfPv/1nwt5hAAgEABTf513/IPpp/xg1wuHHVef8nfxH+r2/4Fk40WAYTICaQ/uuKaL6BIQhgGKDaxfPk8p/+zC4sC9qMASYlkEoBtX8o9/YP1G6Wm0wpoLQuFxiLQVYLUb1WQ7UP32eNeg01KIWMMcC2HsuH9x7KuwCAE9MrGEHk+dD3PeR32qjbbeMeIYAAAKBUQBSFKaZTPTk4UvujsR5pDZRSRlsWZIxC1mnjXreDeh++b/3kwjlySWugpQSi08LdONbRX/4nZzaZ6sk00pPJVI/GEz1+0m8LMsdGbr2G6t0O6tVCVK+iRVApoLUG6uBI7R8cyv0sN2lRAKEreg6MICIEENdF3kIPL3bbqFs+cwnehRDAONazyVSPRxM9Go70AFS0J2VsuSwKWlkiqz/5gP3sz39ha8uCFi6dYzibmenegdwbjHSfc8OlAIIywBiFbGkRL1cOh+EFKDAG2LagPR83zk2+d6B2D4/UAS9MnudPi41cBzmeB/1mHTU7bdz1fRhCWOYrysIkkB8eqf2DQ7UvpBHPFpwoZTQAoGAMGkY1m83grODPYEtP2coJgdj3oB/4KOy0cbfTRt05qFpKIHhh+HiiR4eH6mAS6XE5/k8XvDBAYeCjoNlArWYTtRiFDEIAKYXUsaGLEECzWM+mkZns7cud3X21Y0wpshn4yK/mZ/3nP7Uangd9RiHjheHV3Hz4qn5jDBEhgAYe8ns9vNhuoQ6jkNGqfQgBjGZ6Opnq8Wish6ORHqaZzqr5ZXXauNNuok4QoDAMUFiyHRpTzmOgRmM13N1XO5OpHitVzu1520IYCQCQtRDFlACSZSZV+t9PARAAACDCHEytwG701p3m0jssLFkJMLNrRhv1lMoKzv+CJUde0MW21ybM/UZYKWOMnksFgteP9bMOFvwhqkO/sZU+pKi4jl/lMJhnfuaFRODNorHGAF2JKLwBju40q4rTEXyK35tHiF97T2OMaV74sGKiKFfT8j6nPkO10pnT+14eJJ6mbktZW1T+vPAAFQF4dZkCb5Dynfe/c/UXcyYNWDr5CL3peeh7MTiPxENczgatwGsUdZ7aE2YTAyCoFOjgkyKZ6iPaKMk1zyb5+PBGtHv376jj94jr90qeUswUT0dGSw4RsYjttbHttRXPRsnx9kfZcP8P+eT4jszj/mkRR6OVEMl0Px8f3rCC5jqEEGHLa1lBe7PEXI+2EKYW9WorLGisYWr5RqlClEVAd8uI6evXVa2MGh7JvQc3sk8QggQAAA53iodFrp8EKxAG2HKQy2zojI/lwXggDwU3XBSag28QiqEM2pQhq9Yi3WaXLL7pdW9qb83RnG+ajTpsvP8u+6PVFXKmXkONMIBhnps85yD7zUf5P6cpT5TSKteGg0pVxrKhvbSIlzfW6Lnzm+TC5jo95/swDHwU/L9/n/3fh8fJAXiFo4kwQM06bi4v4pXr77D3r79DP6gcB5jlJosiM324JR/87mP+mzgWcSFMgRA0gQ+dwEfBlUv06gfX2U8uX6RXz2/SiwgCWK+hxtXLdFQUhs9iHT18JO8/eCTv33so70aRjkDFE2db0G61UPv8Oj3//nX24fpZskkpoAgBVBSmEAIUv/2Y/+Z3n5hfD4a6r5SegeqLiDBAtg2dTgt1PrjOPnz/XfZHgY9C34dBWSkM0O6+2r3/UN69c0/cEkIUo7EqQd6lpwkwhnhjnZz7C+X8tedAr15HDcYAgxDAxzty69e/47+6cUt8OZnqcaKMdGxo+z4K33uHffDzP7b+1BhgZjMzYwyweh01XAe6EAI4nujxr3/Hf/XRp/y3k6kZg2cq7zwP+ksLePnieXr5+jvsg9VlvAohQFoDFc30dDwx448+4b+ZRjpKEjNDCOq5Y/5aO+VThADSauL2yjI589479IPr19j7lAIKIUBpauJpZKZ374s7H33Cf5tmJimAKZ6MNYJwdRk3VpbxmcsX2JXLF+nVMIAhhAB5HvI7LdQlBJLdfbX9cEs++NWv8384PFIHSgEFAFC1ENXX18jm5jo5f36DXlhawMt+gIJppCf/x39L/ys41dEE2LGh0+vhxZ9+YP3s2hV6PfBR4HswwBgghADa2paP7j+U9+7cFTc5FxxUxM6ODZ3NNXLu6mX27tlVvHZ2laxpDbQ2RgsBRFEYfuuOuPlPv83/MctMxsvI/48G9fjXYJhaAfVqy25r5YNg9dJ/scJWSQPD0xGfDu7NeRZLAm5VGK0KFjQ3nNbSu3a9dwXW3gxz+NSMAcZIo5X8Lk7U27Oy2OKH6r+pcAMl+Px7vX+1Kn6by57/x+s+WCKsX81JCp4eGmB1wfzP1zwv/IbPAF/4+23ak65/w868+hpjjIEQKiV4nA52P1dFPgtXLv4NC5trTnPxHaveuWi0FqA82AmjJVdFPuWz0VYRDR+kg93P+eT4a61Edhp3t1ElUwQAxnid1Z8arSWxnKZd715URTaWWXyEMHWY11i1gtY6IswrC+Jmh/l0cM9IkZ3IwPKCSWnE9t38phJGzCFv/QOxk0TqJUpEwQ3ffci/vvdl9vskUtMkUpMXactOG1MvxA2/husbV+z33cAN3+y6N7e35mhiDLBtQ8eyoA0AMHlu8inUk6KAhetAtxbCxtIiXt7cIOcpVezwSO2DiobBaKCLAvA000mcmFmc6HihR5c2N8j5XgedWDUFIYQYA+S50Fs7gzfee5d9UK+hxryAR2ugIQSAEEBbTdRaO0PWhTTi8EjtD4a6rzXQUhmVpjodT/QoSXSsNdAaABDHZjYa6yHnJp/NdDSN9DTNTCqEKeYYVYQgPLtKWpfO08tnVsgawYBMpnoMIUAYA0RpGT3sdfHC1Uv0nYdb8v7DLfMAABADAIDnQu/sKllfXyObSwt4xXGgWxSm6A/0MYIAIgTQaKyHcaJnBTdcq2eJigFiFFquA11GIYWgdKr1WGnfQ0EYwrAWovrqCjmbJCZ+uCUfJKlKMIaEUcCWFvDyu1fYe5OpHt97KO/luckmEz0uCljUQlTzPeQvLeLl85v04qMteR8jOC0dW4AvbNLeO1fZ9dVlfJZggCdTPdbludQgBFoRX/oAACAASURBVGAYwHBpEa9cOk8v7R3Iveo9f2tuMYQgxAjgWg0FG2vk3DtX2PV6DdZnsZ4BAIzWwEAIAGPAardQd/0s2dAa6IOy3WE1XnBpAS9/cN36sFFDDSGMGE/AWJcLGXRXkRsGKByOdL+qrCljEtW7lsrIPDdZmpo4TvRMaay6bdRtNVCrXkP10/of+ChcO0PW18+SzYUeXrJtaHNu8jTTKUKlozme6FGSmpgXptD6qaNoDDBCAplzk00jPTnuqyNtgNEaaNeBjudBv91GnaUFvBzNzLQ/UH1winrNv0fDltOwap0LdmPhslXrnMPMrhXxZDsfH9woFUMGD5TgkS7y2dzRNMZo6oaL2m8kxnxzcQnzPRYJvrapH+KOBnynSOPrGwCmitp9pzbKuKES83QzxNSCmLDXpe/n0bPm+Q9plWqG8zT0ayn0IMIIEQthwl7kZXzmI+RZ1glgtDJKFkar4rko8XP9BwYRakOM37j/nau/oBBhCkwpJG5Kyrkf76BZRu+5liIDEAD4TNHcaZdV2uUEQkwBQtRIk2gl8jkv7PNNGIMwURWut1SUMwAoxWOZxf1KTU0aJTIteCzzZFAeIPv3itl4WxXZ5LVz2RitRR6JDECRzg5FFh9BhAkLW5sine7n48NbiDCX+fVV6tVXS4L/6a7I4uO5QMKbfF+0Amrcl4eiMHw+QFm5v78Ev5LSFKNjub/1df7VbCyHs4kaGv2mjiaAYZO0wwZp11qkK96EkeYb2ltzNCmFLPBRACGEj3fU1u8+4b/Nc5NpbdSlC/Tq5Qv0iuci/71r7ANGBYtmegoqRzPnJt87kHvRTEcHh2r/7gP89d/+Jfhf1s+SjVe1hxCAjEGrFqLapYv0yl/+J/tvPv2i+Pjv/zH/79NITzk3ebOBWmtnyEa9huoba2SzXkeNjz/jHx331TGlMJPSiFt3xI29A7Wb5ybrtHFXSiB/+/v8n2/flTejSE9nsZ4lqUmSVMdJYhKtgcYYIoIB7nXR4ofvsz+2beh8eaP4fGtbPZLSSIQAXFrEK0sLZLkWwtrPfmL9gjHIjo7UIagczVqI6tffYe9fvUTfyXKTbT2WD7e25aOtbfnIGKAhBLDiyMzj2ESz2DzhpoMQQMeBThiiejTTs9t3xc3+QB1HMz1tt1Bnc52er9dRo9fBCxgBPI30dP9Q7c2v930U9Hp4cTzV461t+fDhlngQzczUsaGzuU7OLyzgRd9DwfvvsD/KM5M9eiwfYgyIZUFrdYWs/exD9nMIIfzkC/7xo8fyAecmhxCi9bNk48wKXmvUUfNnP2V/+uUN+Plkqp+LiH5TQwggZkGr2UDNa5fpu7/4mfWfPv2C//7Xf5f9tyQ1Cecm73bwwvpZsuF50L9wjl4KQ1RXn/OPQOVoIgjQ2TNk/c/+xPrzew/l3d9+zH89GOhjXhh+9gxZLwrDl5fw6s074saXN8UXh4dlNFNVX+zp1EyEkGI01qOtbbl1eKwPfB8G3Tbuvq7/zQZqfXCd/WRznZzLcpPdfyjvPd6Wj7Z35Raokmq8MJznJo9mOkpS/SRyzwuT7+7L7SwzT5zSMiIEzMY6OXflIr1mDDALC2Qp5yDnJZ/qfziazxixvdYTzXHCPJkng+Tw0a9n+/f+p+LpSBXZxGgt56liY0oq//Ioiwh8y8U5J5opkZH/CsOl37tpJXNVZBNQCjT4L+L8TjKIEIYIM4SJDQmxASjZArTgr8alPr2WVnhLp6o6f2HzhxBiYlUKUTaEEBmjZVn4VGTPYgUNMMZIkakimxhgDKJWiAhzyhT4qX0gEGEKK0lQo2SuBI9L1b0fURDFGK1lkZbczwBi5tQQoc5pjnKljU4gIjbCxEaE2oqnWhV8pkWRnFi0gxAhjt+1Gr1L2HIaWkueDfa+mO3f+58ime4brfgc7mGU5ErwmRbz+70JDEFriFABBI9FNjsqouFDRJlvBa31Ih4/roQ/XOrVV6lbW1I8HRfJeFvm8aBSenqjr6LWRlOGYimeOn5KGqmUeemZtQIqnsrR8V7xOJ6o0WyiRm/saEIAeG5SnpssnsqxkuZ7l8N+q6lzhAAWwhQHR+rg63vidhTpaSEMhxAg34N+u4U7G+vk3DTSk1t34I35tRWWbIoxnJXpVz364F32oT5lYDEC2HWg26ijZreNe8uLeOXXH5l/unlH3Oj31VGWm3yhhxelBPLCOXJpfY1sLvTw4qMt8eCZNiUA4BAAcPif/8pZn0Z6ygvDt7bVo1tfi5vjsRpGM/0Sea9lQWpb0O62cff8Br2AMcD37os7RWF4UYbFgRBAaGN0rYYba2fI+t6e2qHsaWTW85C/sUbOXThHL33xVfHZvQfi66/vyzt374s7c5xd5dASA4BREihCy/dbjTXCGOBppCcPt8SDnT21PRio414PL2oN9LkNeuHsKlmzLWgHvngudE4IILYNnZybfHdPbt+5J24NBvrYtqEjlZEGAHN2lawt9vDS7bviJoQAWgxatQDV2i3UWVjAS+OJHu3uqe3Pvyw+zXOTYQRx6XACuH6WbG6s0c3RWA+/vAG/+C7zCmNAPBd6jTpqdbu41+uihTgx8Zc3xRdRpKd5bvLVFXxGa6PObdCLG2tko1ZD9QeP5BMOtBLSgZob6+R85cw/fLQlH2a5SdPMpJcv0CuWBe3DY3VwcKj2o1hH6pm5l+U6BwDklgXj8QSNPBd5s5mJum3wWkczDFDt/Ca9sHaWbHzxZfHp3fvizt374s69B+Luk/eBIcYEYKOBkeqpfJ/WwHBueJLqGDxD8KsNMFlmUmOAcWzotJuokyQofrwDt77LWP9bNESYR9xwgdheGyBEdJFHPBo8yIZ7fzBai2dTahDCJ5izp1W83zR1/kNbldouIzumTDwiBBGmL2Hc/s2bMbrII5FEB8TxO4g5dcTsGmJ2iAhzqgj1y3KShPnYchu4FHSwjFZC8mRUcVeeTlGDqUNst40tt2F0LMEzcqEAgBLjS62AOuEiZnYNQISNklwV6bjkHX2G0NtopYpsKtLpHmZOHTOnhphdx6XDaRsti5ckECFC2HICbLkNzJw6xIQpkU9lngxUno70j6hMY7SWimcTkc4OMXPq2CrHvyzsobFRqngp4gsRxsypESfoIWbXIEJUK5nLPD6WPBuf5OhDiDCxvbYVts4haodGyryIx9tpf+djHg0eGqXyk97zN3wWhTDmMpsd5pPjO3a9e9mqtc8xr7ZC3XCxdDTDJczsWjEbPOST469Vngze1Mmcmyh0AU6hItQSyCzWs2gkB9Oh6k+H8jiJ9DSdqckbQ9AAAGGDYIgAylMdaw2+d1z+W3M0pTQizUyitdGTiRpNp3pcCFMYA8xorIcPt+R930N+q4nb9TpqUAq/0wJOCCT1Gqp3WrgDDDBHfXU4T4HzwnBjgI4TPdvelY/DAIZXLrFr7RbqBD56jcLH6822oNOoo0azgVqNBmq2m6j9yz+z//rieXp5nvr0fRgEPgosC9qUQPrs8o8xRNevUbvVxO1GAzUnUz2+cVt8NZ7okdHPMTw+cTyUNtqyKsiPBrooDI9jMxuO9ODgUO1Pp3osFZBFYfhkqiezWM8QAsh1oVsV+TyxogBFkpp4PNbDw2N1MBrpIS8MJwTQqjBlcmbFGM+DHqtgC56LvG4H9xwL2rOZiYZDPYhmOspzk0kJpEHGHPXVEcYAryzjMyvL+Ey7iduEwjefkydskYxC2qihRquBWkoaddxXR5OJHieJjgthCqWNbjbQ9NFj+bBeQ413r9Hr9Rpq+B70n70PQgBhBDGEAGoNtNZAm6piVusSMAbMyX34toYxRH/yU8tpt1E3DGA4GKr+7a+Lm+OJfo5jThugjXzal/nvKYW03cKdsyt4rdfFiws9vCAlkFIBudBFi6sr5Ow8LcLYk0Kw/7DnrIyhlGU6WuoqhWm0Ll5MM5aRFsyw5daZV1smbtCDhNqvuvPbMGOMNkoVWsncaC0BhAgibGHKPMUxe9v0SD+qleTog3x6fNfBmFGvtlzqo9eWRRodqlJO8lnlGAAhhFa927Nr3UvMr68ihC3Bs4mIJztFPNnRzyvNvGSY2QHzm2sii48rFZ4XagcgJLbfserdS8QNFyFCVMsiFensQKSzo2dJ5Eudr/g4nxx/7TQWrjK/foY6QZf69RVVlM4jqPDaT+6OEKZuuGjXu5eoV1uGCFFd5Kdze/5AZrQqRDY75NHgvt1YuGJZzXXqBD3q11eMVkXV/+clHBFm1Kut2I3eFeqGCwBCpIpsWkTDRyKNDk5y9MsYsdNgfuMMwsTWskiMEmV02AD9fcX2jQFapLOjbLT/FbHdlt1YuEK92pLdXLiGMLWJE/QghEiks4N8cnRbZvEruVq/rXGus/6+2PZCXh8eif081bEUuvimQBatjZLCFEqaHwRr/b04msYYZZTgssinRRYdQExtkUYHkifDk9QQAABAKaByrnMhgJglJo6TMgWIMcSz2EQHR2r/0nlzJQxQ6HsowPi79RVjgD0X+rUQ1o0xZjLR4zjWsyw3WRWtBBaD2XFfHY0W8bJlQavTwh3Hgd9ZWJ4xyHwPBYGPghJ/iuqry2T1JCc2zUwyHOnBbKYjpYCsJCQhZZCFIawFPgriWM+2tuXDqtDjyaSonI6XJomuKryTzCTTSE+GYz2Yj3eriUWcmDjLTAohQJYFbUzgcw6IlEZkmU6jWEejsR5FMx0BAEDgI5mmJk0SPTMGmGcr0W0b2PUaalAGWJrqJCpxqwmvqsYxhmAy0SOtjZISyE4Ld8IQ1b7Rez7h60AIIL6HgiBAodJATaZ6HCd6lucmn7/nJDXp0bE6nEZ64tjIDQMY2jZ0nr0t54DPYh0BUEY3kw6O89zktRDWMYZYCFPwwnDODVfPRBW/rc3fM2OA1UJUcx3oTSM93d5VW8/iMAF4+T0jBCGCADUayJ0XXvW6eGGhhxeFMKIQoKiFqN6so2acmNi2tU0JpN9VtuwbP2PJm0gwwDYC2IEAYgggKrO6RmugCw1UpoHiFUfqj1+oZLQyWhZaK4GNVmXmjtqYWqExWiDC1DySSWwvwMyuUa+2QqrK9DdVuvnRTOuK55InRssCQAgxs0PqhktailwXeYSp9QyTA4TAaK2VKk4riPjXaMYYLfO4n4+PbhEn6NoNeJXYXtuqtc+rIo8KhCm2nP5cRQZCiLHtUStobTrt5fepV1sxABjFk2ERjx+LZLKrRPEqR9MYA0xJo9PalDwd6SKPiOWKKmqnIYSE2J7Ngsaa01i4Qmy/A7SWkmdjkUaHMo/75pn902gtZTY7zMdHt6gTLACIMXH8rl3rXCglFBHGljOe4xaryJ5r1drnnc7qH1EnWDBaC5kng2I22hLpdM+8Yn+ucJ1VnTuE1KtRiDCFEJEylF8GS0uKL0IRJvSpg1JWh7/osGgtC5FM9/nk+A51wyWICCNOsFAq/pStYsuZPdt/6gZ1q9a54LRXPiCO1zFS5jKLj/ls9Eim0YE+UQ0OAogwrXhIEQAGIMJc6gaLFU5UWEHzSdSuXGfK3xuthFaSV7ynp68/Zq5bfnTbrvcuA2AAsf2u3Vi4ChGmxHIaRish0+iQT4f3Jc9OJKX/LsYznR5uFw+MNnp4IHZ4plMpjPimzqKSQApu8vT/Z++9n+Q4sjTB91yESJ1ZWRKloAU1W3JndlrNdO/drJ3N/TB/wP2NZ7dne2uz2z3TguxukiAJLUuLrNSZIV28+yEiwSIIEABZBMiZ/MwSVYbKiPBwD/f4/Invje1w2DVHwdD0tTo5F/qJEE2rkiANBztEm0bH4xZ3/JpJw75OwnYy7m58xaFPTJvD7P+/prT4V2MSVf7SgQBKkw4CCh5u6gf/9qf4d7fvqpuPf01pUFqD2tnV26NjbvhjKYxfaz9mDBil8uSRp5xgYtvAx4bEWLBKgTIazMSq9+QTHGtm1tETu99XfP8baLQ84cA8I4fgK679ucwhPvHiRGB3dvXWB39N/4iA+A8/934zDmg8GtuR56FXq7LacGSHrSNzuLdvdsbjL4dLfP1bevHeEByE72Nhfo4vXL4oX3/zdeftO/fU7b98lH6QKkrSlNK1FbF+4Zy85DjohNHL1/JERCbBqQp0akWsXCpi5ZIAWeMofCKrNehxQtFeQIMbEQUPNagxvKQazMdhdDJOg8GeLFRPyUJWBtBvnnrH6jTSSVadB7n0GJeeU26su5WZs2519gIKp2C1jhn/blk0rdGJjoO2DkcHViVjBORupXm2vHT+l8Ivz3HplqzRMZC1gIwjY8KqZJyO+9vwkkoTvjQQ2SxbGEAWKgtebe4ik165tHDmP8tCZTHuHdxIx/0t0lnWMXf8Knf9WqG5/K7fXP4BE7KQkYaju8mwc1+Fwz2r0yc+o0RkgazmbqHhzSy9iVw43PHK6ai7aVQyImMUd70qd4uN4vzae35z+V1E5Gkw2EkzErVnMtfwMde5UWnQ3wEgcorVZa82f0m4hUZ56fwvZam+EvcObqhgsJdrU1JWbKDYnLQfGRdq3N/Okl8693U4OrBGPW4BZVlUp3SRCzcrycu48EpN4RVmmHQzkXrGOJNOSXjFplXJOI+XNBOpLjI6Qca+IOtERifpuLcJiEwWayt+feGKLJTnK8uXfuOWG6ej3sF1HY1bVqdRTjqr0i8vFGaXf+A3lt4CZDwZdu4nw/bddNh5oOJx64llN8lqFQ73os7eJ25t7qJXm7tUWjz7M1mqr1qVjDNN15wKEFlrdEJGhSocHepodJgM2veSYfseIvtKMXkAIpPEfaBM9kwnUZcJWfBq85fy3gQdjVoqGrd0PD56mtHtmyAc2eHDm9Enrd10o3OgdrUi9XVc31qTiiMb7txPbv31f43+W+9IHQx75sQssCdCNE022ULI4hc/fp5jEAAZIiIjhgiMMURriRAAkAHjHAUCoLX0Bbfl1wURgLVgTDYIxBgyhoDs2JsdGSLnyDnLdL7MV12XjmnD4SNy9hTZhWx3qzSoMLJhf2B7v38/+d0f3k/+1eZ7v6e1m+U1WQgwj7cjYgh4zO35zIeKCMhkpnFtDBl4ElfFpwvbZVZH0saSeQrPRZwci4+uaY0lYwkod0Yy9hiLYgyYECgAAY3NdSxfZJyfMjLWkjW5FZBlNWIZfmmcgfM8WcZYMERfzN7ePzR7Vz9NP3z7TecH7/3Y/VvGkHX7mTU3jCg42jFbrSNzuH+g95+7vc95S5Q9dxafc5y5AFEsYmm2yebOn5UXLl+Ur/314/TP/9//iv/fNKVEKVJvXJFvIQLONvl8rif6UoGATKBT97C4WsXmezNs4VcueosCnKoFkypK2mMaXEeL3IAOcmvmSyeaViVjFQx2VGm06tq5i8L163594XUEZMm4u6GC/g6XXplJt+Q3Ft/0m6feZlwWiKy2KhmTdIsvu81fBbI6MUnQUdHowCRRj8hqWaytcMerMuEUEJmYVMdBZAK5cHU0OjRpMoR/Z0QzS+LghzoOOm5l5kw66m161eb5wszyO06pvibc4kwybN83aTwkoxNRqCzIQmXBr8+/7jUWXlPBYCfpt27H/aPb6ajzUIXDp9Y4z0MvDJNu2a3MnGFcekw6RVmsLuto3LZGR7JQWZSF6pLXWHjNq81dSkfdjWTQepAOOw9UODzIS+U+gjVGMc73TBy2vdr85XTc23JK9ZXi3NpPZKm2Ilx/Jh31Nk0aDzIlhPKCLFZP+fWFK15j4bVkcHQv6R/dTgatO+mou/F42U1ERMjCQSRzvAp3vCpjwkUuHFmoLEm/NC9cv8YYdxC54E5GBLMMeZsRTKtTo5KRTXMB+owoPyKaKujvWJWM/PrC5XTc3xZ+adYtz5yWxcop7vr1NBjsmjQeICCXhcqCLNWW/frCa261eT7ut25l7T+6m4y7G08qu4mMMSYc1EnYTYad+065sSbc4ows1pb95vK7j+xM9OiR0FanoVVxVkp12LkPyLiKRoeZ0D1TTyOb+Xt7CADDxrkf7Os4OHLLM2fdSvMskdUmjYYqGh3qeNx6WonNb4ooMGMAuPFNz2MUKWvI7D5M7iSxDZPIhsOePrH5/8piNDPxcSwCIDTqrFGvsYbvs5Ax0I0aa5xZF2c9D71O17b7A9vT3zATShtS/YHtHx2ZFoADs002V6vxRrHIyp6HSZqCatRZeWVZrC3M88U4pmhvX++MA3qitcrmVj6yYB0JjufBl1zOEyQJxb2+7YaBHSNDLBVZaS4Tfl8YjWgAx+J2HAelFCi1IaMUpNYSMYY2iW3c7dnuYGB7tSqrX7koXz9omX3G8GASp8c5MsaAAwAZA0a+wrSEIKSgdWQOT6+Js6USlmcafKZcZtVCgRWUolQI4POzfGFtRaw7Ep29fbPT7dmO1t/MDZ0qUL2+7Xa6ps245LNNNler8lqxyEqui4FSkM42WXV1Waw1m3xuHNjxaATDIKAvxE75Hvr1GpsJQhtcu6k+6w9sb3vXbPb6tqcUqcHQ9vf2zc4366XPYS0R50hxTFGnazqeB4XmDJu9eF5ePszqjD96qXGOjHPgRNk4+x6ilNlzQ0SUJJCkaWbJJEvEGfBqhVVXTonVWo01cgWHlwoE5haxcrmB878osuplF/0lAbLCgHsIKBERCmDPaqaHaJkcQPt9AHhy/eZvEToO2lF3/zNkXE6slsiF5zUWXnfK9fW8zvaj0IW4d3iLjIqMSgNZrC4V59a+USm4k0b2IlWhCgd7QWvzfUBE4ZfnhV+ak6Xaakm65cxFTpk1ypg0GbRuJ4OjO88++/cQRJas1XG/dXuwee3/Turzl73q3AXmuGXhFWe549Vyi5dFzh1kXBqVjILW1gdJv3Ur6ux9GvcObzyHG5QAiNJRfzPq7Fy1Og249MpOqb7mlBqnkTExqVlPRquou/dp1Nn/NGzvfBj39q+bNH7iHCUiC9aoqHtwDfBT4dXmL3m12QvIpS8LlUXhlZoTyaXMrc2lTsLe+ODhH+Lu/mdRZ+/TuH94w6p4+Pi5kXEh/NKs8MsLfmPxda+x+AZjwgWGnEuvIly/LgqVRe4WGsiF49XmL3Phlk0a9TNymyWdJYP2vcw63NvS4eiRckpWDpMZq1UUtnevAgC61dkLbm3uAiITTqm+KgvVpbz9iExIZEyoeNRS4XA/66NMVJ2eEFvKhPScYm1elmorxbm1nxbmVn+MXHhhZ/fjrIRpXm50YqDIYmBYlpXPBHLp+c1T72QVqHSaDI/upKPeFjwWt/sk6CToJP3DW4xx16nMnCVrtBr3t5LB0R2ThL1nHf+qQQQEFmwU2FHnUO8aRUoldGKJYq+QaKIsFrAoBcpGnc3Ua6xhrbGRhbBRZzOn18RZz0O/3TXtXt92lYJvRjQ16P7A9nPdTpxt8vl6LUsCCQIcaU26VMTS6jJfW5jnS3FC8WhsR09zi2ZEMyO/UqLjueiJp8QXxjHFxlgThBQwBFYqYXm2yebm5/iCMUbDMaIpBcpMIxOSXMbAWEt0+YJMej3b6Q9sf0I0rQXbOrKH8EirE5iUKIm+2kr6MhCENrAtOIgiikolVrEWqFJmFd9HnyxYxoHPzfL5C+fEJUeCs7und7pd29H6y9INLwKlKO31ba/TtW3OkDebfK6Wj7PWqLQmVSmzyvqqODM7w+aCgILBwPaPywQhAPo+Fup1bIQhBbt7avvBhr5/84663u6YNuTxV9acrNi5MWTfecuJO13brlZYrdngzUvn5eWcfD8imowBFwKlza3AjAGTAqWUIMmCTRJKkpRSpShlDJjgIKoVVls+xddKRVZS6uR10p4FBswpYvVyk536RwedhgCnhoAcABCAAQdRQGQuA+ZyxouJDXfhOb0jJwkdB22TxH2wVjMuXCBr3OrcBVmdPc+E9JBxZ6KjGXX3Ponbu1dVMNjVSdDxavOXvUrzPArhvux2Pw15dm3IHX8/aG2+b9J4UJxf/0/CK8w4pfoqn1l8M3dGkE2TsUnCDlmTMumeuGjzdwGT+EgmnNvpuL+djroPzULc9xtLb7qVmXOiUFlkQvqIjBuVjK1KhnHv8GbcP7gRHu18GB5t/llHwdGzZYEyI1467m4Md27/d0QmSotnf+ZXZy8Kv7LAXb8GZLU1OkkGR3fj3uG94ODB78f7D/5Vx+OWNeqJL/k8q9xy6VxLR+0HaXPlB1YlI6+x8JpTaZ6TfmkOufAQkRmVjEwS9eL+4c24d3gzPNr6c9ja+otJ48ETZZkYk8IrzXm1uUvl5Yu/rq5e/kdkwp2UVMKszMqjijxebf6yV527SJ8HSgEAwPjgwb8xLjwgsjZNBnCMqJG1FhHDqLN7NRm07hTn139qdRq6tflLbqV5TniFGeTSAyCwKhnpOGjH/cMbce/wRtja+nN4tPVnq58sqM649GSptuLPnHq7OL/+0+LCmb+Lu/ufRu3dqyoaHZh43LHWJFkMKCIgcsalJ9xCQxRK84Xmyg/85ql3iKwmspqArI6CNjwP0czaeVO4hRmn3DgN1uh03NtOBkd3TRL1n3X8q0bOFwgRR3Fgx5B5Bk+MQ7wyohknFB11bKtaYbWFeb74ox84P7UGNCKwlVNidWmRnzo4NPv3Hug7DzbU/TCiRzuYcomV11bE+q9+5p0qFbFUrbDaxQvycrHISufOyPO/+jvvH/7hF/5OGFHY69nO3qHesxYGqaJkOLKDu/fV7d+/n/wOAPDv/sb7RRxTlKaUlktYnpvl84Kj2NzWG/sHZu8gsyZ9Cb2+7d6+q27OzfK5M+vi7GyTz3W6pv1f/0uh3emYo3bXtnt92+32bAcBrNKk9vbN7vt/Sf4wN8vnGw0+85/f8342HNnhP/9TcQz5TP7b99x+f0D91pE5UIdmH3KX6WBE/c9upJ8qTUpKdM6flRdqNV6/eF5e/ud/KhIiwK9/4QeDkR20O/Zo/0DvxU8QBMh1EgAAIABJREFUdv3GeM5HT2tQcUywu2+2P7qa/qVUxNL5s+Jic4bNpimliIBzs3y+OcNm+33b29wxG/cf6rvH21yv8fr6Kj/9Dz/3T1UqWG3O8LlzZ8WFUpGVL12UV379S+9/++XP/FYY2qDTte2DQ3NgLQRJSklvYHu37qgblTKrei56f/8L/zdJQkmqKK1VWG1uli0AAN1/qO7u7Jntdse2HjUeP3frV8o4Nz/HF+Zm+cLqCl8bBzRmCCxVkLY75ujSBafV7pijnIACAMDiglhcW+Hrv/qZ3ywVsXT2tDi3fIqv1Ous8fYb8t1//HWhH8Y2jCIKDw4ziaQkzwbv9Wzn6mfpR6ORHUoHnUvn5ZWZBmv+8z8V3wDIKMHf/9wfTWJE9w/NnlKkhvm4t7u2HYZ2fO60OPd//tfCP2dxskRrq+J0HFOUKpsm6ZflMoRAvr4qTq+vijN//3OvVimzyuuvOW/NzfIF12Xeez/2/vY3v/IrQUjBaGSHBy2zf9gyX+E6zLsy88dJB9yCBFl10J3hwAsIyPGL+nnIiHsS3RkX/AUBsvTUk36byGprKxWPW2Fn96pOwq7s7n/GveJMXttcktGR1SpOx/1tNe5t6TTqW5WMMyFqZMi4jPutW/CE2aKC4X7Y2vpAh6ODsL39oY7HR+mw+/Arm2R0rJOgE3X2Punxqy4TTjHut25mL7HwuVxyZHWsw9FBTESTWDkmZJFJp4gTomlUnJfQeziJZXwc6bi/HRw8/KMa93fC1vZf0yycYPdJ353AGhWZOOiE7e0PAbPa3XH/8GY6at83afREy1067u+M9x/8azJs3+duoa7D0YHKrEsnArI6tZpsOu5tYYsLFQz2hF+e465fz5JekFmtYjI6UuFgXwXDvXScu6WteY5ki4zIkNGJjsYtk8YDIDLJ4OhOrh9ZICJD1igdjQ5VODpMhp37Og171ujkWfXLrckKBaSj7sMAEdNxb1P4pXnmeBWWSWyhNTq2Og1UONxXwSBrv0pGT22/tXoiYD7evfsvOhq1EPkLc4RkeHQv7h3eUOFw73jW/ASZZZMnRNYkg/Y9IqJk2Lkv/PI8l85EIoysUbFRyVgFwz0VDvbSUW9joi36ePuzhKVa2avNXy7Orf0EufCSwdGdsL17NWxtvK+TsGNVEhBZ9UgvJJ+rTDhF4RVnuPQqTrlxGpGJzDqczfnnu+uJeSdLLDI6Hafj/mYy7Nw36XefaE4wIZwnfd5XRjSjiKLDljngDPjSgjhVq7J6rcpq5RKrEAFZAvvgob73ybX04719sxseszhVKqzy1hvynR+87f64UsZypcxqa6tivVzC8sXz4jLnvtg/MHudrj26c1/djhOK+33VZwzVaEyjm7fVda1BX7kkX//Vz7xfe5mVMwuITSje3NIbDzfV/c/ycoxPan+3Zzo3bqtrnONbb73hvLMwxxfDiMJuz3Rv3lbXbt5R1+/dV3f7A9vPrXR2YY5v/+sf499euiAvv/W68867bzo/ZAwYskmMI+KNW+m167fUZ2TJdrqmAwAxAMBgYPufXFMf9QfU+9G7zk/efsN597XL+IbjoJttNQF39vT2vQf6zo3b6tpobEdxYl560scESpFmDM32jt7805+TP1y6IC+/dkm+sbjAlwAyF1CcQBKGNtjY1A/f/0vyh6O2bUXx50RzpsFmfvSu+9O333DeLZWwVKmw6vISXy2XWeWNK85bBZ8VDg7N/uGRObh1R90IQwpHYz1iDNN+3/au3VSfJiklr12Sb/zv/+D/H5N4R6UoTRJK7j7Qt+/e17dv3VE3Hh9nRETOgC3M8cWlRXEKETCKbWQMGCFQjMc0un4r/ez6TXXtxm24BsfcvKcW+crfvuf9fH2Fr5fLrDLX5PNrK+J0qYilH77j/rhe541Ox7TbHXv04SfpXzo924FcK63TtZ0Pr6Z/6fdt90c/cH965ZJ84w3HeXtSax0BcGNbP7z3QN25flN9NhzawVFIrV7f9gq+OThqm8NxaIML5+Xl1y47b6aKUpVSGkYUjgMaJ6lNtP6yd4BzEBfOict//zP/19Uq1opFVlqY50sL82KpVqX6z/7G/eXpVXHm8Mgc7uzprY8/ST+EY1bWpwMZA+ZyFCWOsiRAVhBQwBPimRkwKcCpSXBnGYgiIuLLtsw/2tlz3rZpPIp7hzeQMYnIxSR5DTJ1K/t59RZrKE80ifutmwCAViWjxzUNAQBU0N/VSdBhTPwZGXeIjDJp8pXJZFaryFqdhmrnw7jfuoWI3BoVZUkM5rms02R0quPxkU7DfjrqbuCB+D1+bp2a3HxW6tGaNJfi+RLScXdTR6NDZNxBziUZnRqVfMkN+8X2pyEZlQSHmx9E3YNrAACk8/Y/RfA8Hfc2dDRuIecSkHGwRhv11f30IiBrDSJaFQx2dBwcIeMf51nV/FEtdsocF8fFvfNKUM9+JjFzyVqjU5NEvTiPi8xJLH/U73m1H6Ls/FmfPLs8YRY/iCYd9zZVODpAzh1EJj5vf35usIaMUZkGrE7J6ORp7c9J74HJ4hsfsJ3b/+OFOvXReXRitYonwuhf1f5k1HmYhoO9iZsfj2u7fv48qkdVuJ5CMgGRcccte42F14rza+8lg/a9uLN3NTza+vP44OHvrU4DIDL0qNLUpJZlfqz0Kk6ptuI3lt4EIpJ+eV64hcbzE83P0xSyykHJSI17W8moc9+m8Yk9t99XvHSiqTSoILDB1o7e+OCvyR8bdT6TVSghKpdYpVjAUqogSVNKb91VNw4Ozf5oZIfHhamThJLDlj2490Dd9j0s+D4rbO2YjU+vp1eHQxp0cxfzpAzfhLxYSyQEpq0jc5gngJDWpD0PvUllnSiiYHff7G5umY1O17afVo5pNKLh5pbeYAyYsWDmmmxeKVBBaMdbO3qz3bHtIKLgeDLRKKDR9q7ZBMiqz/R6tssFCM6BZw88wMamfrB/YPYGQ9s/fs+porTTzaxmpSKWjCXre8zzPPQnBOSoY1q7e2a70zXtJMnKasYJxd2e7Xx2XX2CAHDvgb5z3D2dppQMBra3ta03PAddKVEetMw+ZZJISRDA+PZddet//mv8P27cUteCzKwOAABakx6NaLh/YHY/u6E+6fRse2vbbE4Sa6wlqlZZf2NLPyDK3LytNj9kCDgRER+P7ejeA3374NDshxEFeb1wAMg2I3sHZsf3le+56Hke+vcfsLuVsqp2+6bb69lOr297vUEWk5mkWUyJtUSOg/HBodk3lixBloglBAhEwCShJIwo2NrWm1s7erPbs51UUco5snIJy0sLvJpJM6Fz1LGtg1a6bwwZY8AAAkgBknPk1Qqrv/2m8263bzsAcP3ROI/tcHtHbyQJxb6H/mZJb9x9oG5LiU63Z7u9nu0MhnYwGNl+v296x+85SShud0yLMWCFIpbihBLfy+4dIHPrH7TM/u6e2c7aDUnu4lD1GhvcvqtuMQa8WGTFYgFLWoPWmtRwZIf9AfVTRQlkWrXd4fDzWE2yYDtd2777QN0pFLDoueg93GT3K2VV1ZpUt2e7vX72OWqb1tNilx9HliGHk7w7joDiMUvm8S8jAgoGTCK8/ISl4yBjFDwurv1sxADw1aQxy5J9odinibs3b88z3XhPPkf2jOSfr51kZbWKId/8Pve17Rfa/5Wk9Nh1XrifXhR5n3ylIPbXRa5sgQBAZI226lHC7Ikhb/+J9dNjz8gTNxonifx6L/w8fRmYFyEQDpdehbuFOgCATqL+JH40y2R/ytG5TBMQEXLuIBkFz6mQPJGBKi+dazjlxhnueFWdhF017u+oaNyyaTy0Rn9roUpZ6QWUjAGzBnSmg/mob58bQqIUEh3IShYba8hYm4XtnUQ7XzrRTBKKjSZ99766c3Bo9qVEx1oyAJmoOucgJgLZo5EdDkZ2oDUoc6x293Bkh598ln5074G6wzlyxoBLiVIIkFqDUopSpUhrDSqKKTpOjqwB2xvYXhBR0O3azqfX06ucAwPIhLmNAZMkFA/Hdjgha0+6j3EmAL7d7dvO7bv6luOgQ0RkDOgwoiiKKIwTivMs7+zeY4q7xugostHevtl5RBI/r1uHYURBmNVfj5JjwbjGgAkjivSROQwjG964ra5zDpwxyPPSAdMUkjjO6mKHEYX5McHBoVH/9qfkt59cSz/udG1bHbNoRTFFumOPRgGNdnbNFiJgVo+cSAiMUkXqrx+lH9y9r2+PxzTqDz+3/KUK0m7fdILQBocte+B56PUHtmeOxS6GIQUHyqi8ItE910EXEBDybG+tSY/GNBqPaWQee7A7PdP5y0fJB9dvqWs8K6nIhUAhBEilIFWKsrHWoKKIouNxllqD7vZNZxza8VHbHl79JP0QWcZ7JuMcxTYcjWiUJJRYAislyOYMn105JdZmm3zOddG7c1ff+uiT5K+Doe0TATEEJiSKU4t8+e9/5v/m3becH968rR6RTACA3T2zMxonQ9cBl3PknIOQAiUywKzNkCqdPZ9BYIMkoUcLrTagw5DCvQOzOxrb4WfX1VXGsgz5iaUiSSA+Ps6fP5M0/uyGuvpwU9/nHIXgwG2ueKA1KaVB2UzcipQiFQQ0Pn7dO/fUrcOW2Z/MKcHzWFDK4pGVAqU0pWlK6fFjnwP0hR/P/O6rjS+eYoopvkdAmOiaZEk9iAIylaMUssSip64niAwnteaZdEvc9WtkTTrxFhA8Q8s3d79PEqiY41VUODpMRp0HJgm61qhnhkF8EzAO3PWYLx10k8iGZCmymaHnhdZQx2WeX2Jla8iolFKdQqIUJfAcqjbPg5dONHPCONlFfq3YhTSzMrbha2Sl2i/uAr+2STvNEoEmFobWM74OAAA6I50mv/YLZaLlBGxSBjOE53JbZpc9dsyX4q60JgNZNYno8TblfzP5tb50vXwsJ335xFirY6U7Q3jB8Ypj+tq73by/Jm17LiuK7zNWLGBppsFmCj4WGCL2B7Z3/6G+e9TONMUcibJQwEJOmKFWYXXP/VzsHSDbhMDXtDw9Ns4vZFXIk9M68DVkafLr9uAFn8tnIeO51lgwiSWbWDAREnNyy+YXrAZEpA3oQJMaWDDxq05om2KKKb4HIIB8mVFWpYFRyQi58GSxtiyL9RWn1F+TxeqQrFFARLmPhSNy6VRmPOH6DVmoLjnlxhoTTtEaFamgv63i8RHl1khExpBzybgsIBfuRLTeq83WuFOoTyovmTQepsP2vbjfuq2TsPs8YRDfBI7HvNkluVqdEXMqsUkaU9g7UgeM4741z09wqzNidmHFOUtApBJKhj3d7hzqXXjOd+ez8MpiNKeY4rsGBEAuUDgOuIwBM4astfQFLVUpUVYqrFarsjoisDCyofqG0lv/zkEWbGLIBBrUSEM64CBLHEQR4IslMC3YNIWkHVO0p0F/LaI+xRRT/McCkbWITFudhipLrNrnjlctzK78iMhoImMeJWRlZVg5cuFy6ZaFV5pxKzNn3UrznFubvYhcODoK2lFn/9N01HlIRkXIGEPGBJNuxSlWTwmv1IS8MpJTaZ51KzNnvdr8Fe74lXTc24y6+5/F3YNrLyPb3C+yytpF740zl723CDI9zGsfBL8bdIMjeM6QEETEN98rrr/+0+LPhUCplE227yY3kygMYEo0p5jiZEFEWVxqSGOlSCECViustrYi1s+eljUAgDOnRWF2hs8tzPOlJKF4Y0s/eFrC2BSPYoW0QBmnFB8ENLztQmHJRX+REXMRkFNWvl0pSNoRje8HNLylKPl3JRY+xRRTfHsgstYpVoN01H0Yd/c/c0qNdadcX3NKjTWrVWSSsGuSeACUEc3PXeXFhlturMtSdQURMR11HyaDo7tJ//CmCoa7WUw1MmBccsevOpXmOa86ey73uQu3MnPWKc+cRi5cHY/b6bDzIOm3bqfj3ubTEupOEq7P/Pll5/SZK/47WpOKQxNs3o2v44sU5UAAv8QrM/NyqVThdS5AGAVq41b8yUm1c0o0p5gih9agW0fm0Bqy9RqbcRx0Ll2Ql+fn+YJSpICABEfhuuhZInvUNq3rN9PPNjb1g1fd9u86CCgNaHDzyO79two23q1g410JTp2DKFowiYK0F9L4Xt8e/WlInb/EEJ6YlM0UU0zx7x9GJcOovXvVqiTwG0tvmnRxgIxxrz5/CQAQCQEQ2LGMfzuRJVLj/lY67m+nQX877u5fS0bdDZNGfbJWISJHxqRwCw2/sfhacW7tPWRcADKBDDkg4+mo8yAZdu5Hnd1P0mCwk4nDf1nr86TBOcpimVVLVd442ku32vt6OxzZwfFKd88EAYRjM2zvqx3poDd3Sq6Va7whJDon1c4p0ZxiihxKk5YSu2FIwZl1ezYMbFCv88bCPF/iHHiekWeNAdNqm9b1m+qzj66mf+1m8kRTfAUIbBrS+L6xOgBGhpMoOODNC5QVSyZKKDoY0+D6kDp/HtruR1PX+RTfOxAQGR2ZJOrrOGircLhvkoysvOqm/UeAVWkYD1q3VTQ8sFqFZE3qVGbOOOXG6azkqltExjJpNWuV1Wlg0migwtF+Ou7vRJ3dq1Fn96pOgraOw+5EFJ5xwRERkQtXuIWGLFaXkHEHkHGTBB0dB524d3gzOHz4h2TYfaiz63/DTPrnAxco/BIvF8q8qhSl3Zbaj8ZmSPb5k4GIiC68VRj1jtR+c1EuF8q8Uizz2pRoTjHFtwRrwKYppbfvqVtxLk8kJTjIELPMlkycLggp2N0zO52ebR/X/pziySAgq0ENicj2bfuPMUU7HESJAXMJSBnQ45TiowiCTQM6IJi+nKf4foGsUfHg6I41Og3bOx8Kr9hMhkf3dPzlmtxTfBugrHa5SsfJ4OiOUfGQd3avctevMy5cZFwCskynk6whaxUZnRiVjE0aD3U0OtDxuGW1CoE+V4shssZqFaWj7sZg68b/E3UPrudaqGi1irLkocGuCvo7Jol69inaod8GMFNBcaQDjtGkorEZpiklL6q5rhWpOLSB0aSFREc46DL2FBm6r4Ep0ZxiimMwliaaf3fyzxQngDxWc5R/9gHgg1fboimmOFnkFrD7+WeKl4xJPHj+uZd/vvl5s8xxAwDb+ec7A8YAhQQpJDrGkI4CO9JpppX8IufRmlQS29BaMjnRdF4ozvNZ7TypE00xxRRTTDHFFFNM8XJABGQ0aKNBC8GkX+JlOdGqfgEIidIr8JKQzCECsiYraHNS7ZwSzSmmmGKKKaaYYorvGTKiScYY0kKi9IssI5ovxjNBSnS8AisKiQ4REFkyL2oV/SpMieYUU0wxxRRTTDHF9wxGkwpGph8MTd8vssryGfdSrSnnpYMO48+OsWQMUQgUlbpoLq0750sVXosDOwpGdqBPUB96SjSnmGKKKaaYYoopvmfQilQwNL3RwHQLZV5ZveC9Vp8Ti9JBl3PkyPArTZvIgHGBojoj5pbPepdKVV4Px2Y4HuieVnRiNdq/V8lAxQIr1GusUauyeqWMFSFQ7h2Ynf0Ds5/XYP4SAy8WWbHZYE3XRW84tIPRmIZKkcpLSH4BQiCXAiQgglKk8hKM3xhSopACpbVk1WN12x9Hc4Y3mzN8No5tNBjaQRRTpBSkX3XMFFNMMcUUU0zxHwtpYqOjPbW19zC9u3LWvTS3LNfXL3pvdH9a/EWvpfcHPd1uLjqhVja1BgwA0CRT3XGZd/Y1f6ZS583Tl723Zhflyqivu4fb6YPWrtqIQ3tigvPfK6JZqWDt0gV5+cI5cfnMujxb8LH42z/E//P3f0p+Nx7bEWOo85rNj1CtsNrrV5w3G3U2c++Buru5pR+OxjCCrE75FyAEyGKRlRABxwGM4IQKyjsOuqUilpRCNQ7sCODpYqorp8TqO286P2i1TeveA3Wn3bFHo7EdQVaze4oppphiiimmmAKSiML9zfS+X2TlmXmxWK76jQtvFX5SqfPm9r3k5ta95MagrVvh2AxUQoklsFyALJZ4pVznMytn3cvL57zLS+vO+dqsWOwcqN2tu/H1vYfJ3Sgwo5Nq5/eKaGaC2URSoJxtsvnmDG/O3GBN1wU3jjF6onZULrJtDViyYCn70he+yDkyxoDVa6yyMM8XAQB398w2AHwj0VXOkXEGfG6W1xcW+NJ4bEcqs6Q+NfaBiMhYstaCzWoWfLm9U0wxxRRTTDHFf2ykiY07h2rX8dBbWnfPL66p846H/vol7y2/yMrFCq8NOvooHNuBSm1CBMQFikKJVcpV3lg67V5YOu1eAAAYdHTrYCd9uHM/uXW0r7aTmMKTauf3imgORjS4dVffMAZ0vcbqREBRRF9p3u0Pbf/azfRT10FvOLKDcZDVsT7+HcFBuC56c7N8/tJ5eYUIbBDQGAC+UcUXKdHxXHCXFvmpK5fk64ctc9jv2x5kWoJPxPau2QqjJIxjioYjO4xjirSGb72U1RRTTDHFFFNM8f2BVpSOeqaDmOKdT8I/AwKunnOvrJzzriysuefqs3JRpRRrRcpaMkQAyACFQEc66HgFXvIKrLjzILm1cz+5deeT8M+7D9M7g7Y+VIk9MS/qcxNNzpEVi1gq+lgEREQEsLnlDRGQc+TWkk0SiI0hwzkKRMAopiiKbMQZMmTACj76hQKWtAY1GtshEVCxwEqehz4CACIgIiBjwMKIwiCkQCtSxoKxlkIACNdWhdNq28OZGZpNUnpiZzgOOp6HXqmIHgBgmlKiFCijSZPNXNdCIOcceLXKao06mzmzJs5euiAvG0O23TXt+Tk+UgpUqihVKaVJSmmxyIqlApY4Rw6YKfMzBNQGdBjaIE4oBgBkiNios5lGnTXOnhbnL1+Qr1XKrHrUtodzs9wqBWmaUpoqSo0B43noey56rouuUpCmilKtQRmb6VkJgcL30JMSnUm/JyklSZLdP0PEQgGLlTKrGEtmOKSB0qQLPvqeiz7jwBhDhgiIkI9LTJHKr/94yMGLABEZAhMMmERgTvYTBQJyAOQIyLMnBvIPIgIgwaNrEhAQAVkAsgRgCcgQWANA2ma/KwJSBFZbst8L4o3IOAMU+Kg/mGTABAJKAGQIyCB/5AFh8vtxVYnH+oUsARgAayjrF01gNWU/FQGZXLT4W7ofZAy4y4B7AkSJoyie5PkJyFiyqQUTG1BjTfrEYoReNrI5gTwfc+fzn9l8yMcfAYAd07wjILDZvCCbjStpC1YRWJX/TL/tcf7yfTAhwalLdOqP/92SVRZMbMFEBnRgyDz15cSQiWP9cWydYAIRGBybD/naQJA5eQiATLYmZM+8BVIWTEJgEwKyL6s/vim+uFaixGw9EAxYviZk/YAAmNfkfsaaAJO1wXy+FpC22e+KwOrvQt9M5sMX5wKTX5oP+TqYH5YJ7QA8mg/H7ktZsOnLWPe+yzBZHsnY9ZjevBN/plJKjCblFVixWOY1r8iKxSrWGAOO+TpDAEQGrDGkk5iizqHa3boTX7/9cfj+9v3kRudA7Ybjk3ObA7wA0fRc9C6dl5cvnpdXBAfOOfI4oTiKKXIkOMUCK4YRhbv7emc8plG5jBUp0Hmwoe8BwD3pgOO56J49LS9cuShf6/Zt5+NP0w+1Jv36Zfnm2opYZwwZY8AdBxxHonPnnrp1846+0e2ZThDSGOD5LXv1GquvrYj1lWWxtrLEVxABr15LP755W10fZ9bKse9hoVxi5TPr4uz5c+Li2XV5bn2Nn7EWLBDQwixfbHXs4VHbtFpH5pAxPLx0Qa6/flm+WSpiiTFkQoB0JDrDsR3evK2ub+2YDYbAhABx/qy8eOGcuHR6TZw5vSbO1KqszjmI7R2x0Wqb1lHbtlpH5nA0tsNTi3x5bUWsr5wSq8un+Mr9h/reJ9fSjw8Ozf54bEe+j/76qjjTnOGzSUpJFFO0f2B2GcM9BEDOgZ1eF2d+9I77kyC0wQcfJn/q92333Bl5YXVZrPk+FnwPfc5BcA58Y0s/uHtf3+l0bTuPG/1aUgaIiAyYlODOSHRmHPBmHfRmOYiKQFnmIIoceAGBOwxRIqAAYBwBGAEZALAE1hCRtmATCyYxYEIDOjSkxwbUSJMaKEi7CtKuonSAyAbwHX+5ICLjIAqTF7QEpyHQqUtw6wKdGgPmceB+vuhmLx1kMiMf2ZuVKCPYk36xWb9EhvRIgxppUH1FaV9R2tOQ9jToESIaom8ncYwB91z0l3wsrpax9lYJa6+f5PkN6CChaD+iYHNE/asAcOMkz/+yMCHkHHjBQW9OgjvroDfroDsrQJYYiCIH5jHgDgI6iEwgAFqavEBNYsGmGtRAUzpQkHZSStqK4qMUkiMN6lsd58fvQ4Ks1tn8Lxts/hf55ugRUko6MYWbIY3uBzS4AQBbTzkXCnBKTtYXcw568w64TYGyKkBWGHKfAfdy4iGytSEnFmRTkxHZcbYWJD1FaSeGcC+haJfApoiYfpfXA4DJWsndfE1oSHDqApyGRKcu0a0zyPog35Bk60K2JrCMX4IlIgNAJn9GYgM6smAina2VQwVqqCntK1A9RUlXgxogMkNkTyTf4OvdN+MMuCtAFCV6c86x+ZC9H0Qx28AyF4FJRBQAgEQ2pWxDkVqwiYZ0oEgNFCVtBUk7peQohfjIgA4Q8TtBqF8VtCbda+kDlVASjsxg6058vdYU89WGmPVLvOL6WOAi61drQKexjeLQjgddczTo6KOjfbXV3ku3hz3TVimdeJ325yKanCNv1FnxzGlx/r0fu3+Tb64ojCgcB3ZcKrJSs8nmhkMaXLuBn7Q79mhuli14HvqjsR0CwD0pUPo+FtZX+en3fuz+7fau3nq4qR+EkQ3XV8XpN1933uEMuRAgSkUslYqs5Djo9IfU15pUktoYXoBoFgusuLQoll+/LN98+w3nHc5RhDFFe/tmV2urAWDsOuiUS6y8tMBPXT4vX1tfFaebTT5nLVmyQL7PCsVtXWIILAwpPGrb1uwMm7tySb4MjS7xAAAgAElEQVTeqLEG58g9F/1iEUvdvu0oBWkYUUAWCBFwdVmsvX7ZeWNhni/NNtlcwWdFRMBSgRV9HwtEmkYjOwxDDGYafObMujj71hvOu2+/4bz7lw+T94/apjUa22EcY+S56C/M88XTa+Ks0qCiiEKVUnpwaPY5B+E66KyeEms//ZH7N/2B7T3c1PeNBn1mXZx78zXnbd9H3/PQdyQ6Mt8YJCkkRNpmtVGfn2jmu3KOgFKAdAXIkoeFlexTXPOxtO6A25ToNgU4NQGyylEUGDAXkUmWWfQ4ZDvRRxabnGAGmtQgW1TSrqKkk2J8GFO0m0C4l0B8kFIsLVglUKb0uVXPftsv3mchs9ggR2COBMeR6M54UFhy0V9y0T/lgr/kor/ooL+QWwTL+YvF5cA9BtzNd/QTkqkt2MSADvOX7NCAGqaUdhQk7YTiwxTigwSi/RjCXUZJ24KJOYqYwCpLJ1svnAFzXPDmi1i5MsMWf91kS//lJM+fUtIJaHhrRN2PlE2O4HtENDMnD7J8TngCZUWC0/CxdNrD4rqPxTUfi+sS3IYAp8ZRlDhwnwP3EJiLgHicPBgwYUpxK6W4FVO4HUOwFUGwgRS4CHHLgok48piAtP2WSERmUkMpUNZqrPnTU+zs/4WI/Ph3Igq2Rrb3MSdRSm3cgmNEM7diMQbMEeA4HvpLHhZPF6B0xsfSGQ8LqznpnBUgyhxlObfwyYmV3lLWJ5rUaEIuEgj3Ygq3OYnbCECa1FCDHjHkaW7B+84odCAynlsshQDHkSCrLhZOuegveeCfyteGRQcLSwJEmYMocZwQzpx8ZcSLiCZWbqsM6CBfK4ca1FBR2s37p5VAdJBAtJ+A2EsoPrBgYoEymqyzL4OQ5fOBZ9ZwWcjnw8zj80GAU5PZfChyEAUGzGPAHMjmQ2yOWctTilsJxYcxhdsxBVsxBBtITCpIOgZMxJAnBKRfJal+VTCaNAC0AaAtJW5wic7MvFxqLsjlUp3PFMu8Khx0MfuuCsd2OB6YfvtAbXf21Y5KKVEpfWubtWcSTcdBp15jlfk5vlAsYNEYMg829L0HD/U9IVB6PvrLS3ylWmG13DT7vJL0BATQH9jex5+mH+4dmD2GiEKAXJjnCwtzfHEc0Hh5ia+kKSXDkR3ACyTn9Pq2d+uOusEZsGqFVasVVouiLwa3hhGF0DXth1v40HHQHQU0Wlu2a6mC9JNr6dW79/Xt/tD2BwPb6/Vtjwhoc1s//O3v43/xPfQZIqtUsLowxxelROk64K4ui/WdPb11eGgP7j1QdzkHvrYiumsrfP2gZfY/vaaubu3ojf7A9vsD2xuO7FBr0jt7elspUp6HfnOGzfYGtqeOCaZGMYW7e2ZHcBRrq+L08hJf2T/Qe4iA1Qqrzjb5nF/AwoSc+j4WZmf5fKnEysaSuXVH39w7MLvFAhaLBSw5DjpXLsrXPRe9cWDHAPDcbkoBsuKiv+BCYcXH4rqPhRWJ3uznFgqnxkEUOPJCvmB6x90kE/dQdjZEBsghc7tLDrwgUJYtuLMGTGRR5+RTDydWPE3pIIG4lVJ8mFC0l1C4q0D1GfKxJXOi5Op5MHmhOuAvuOgtelhY8aC44qK3INGbleDUBIoKB1nOCKYs5a4jdxJikLvUBWTzh3JXEs8IPZMchC9QVizYxAGzZEGHGvXYkB7n/TJQlHQSCndjCrdDGN8DgLsvuy/+IyKz2DAhwW1mG63sJephYVnk1isBTlWirDEQj1utRBZeAsiAQz7eLgdb5MgLDrizHhaWNVWvKEg6KSVHMYW7EQQPYxpvJhTtIeLBq7LmMGBSoKxIklUG3Pm8TxAFyLJAWSlA+XwBKxd8LKy66J9ywJsV6NTzDeiEYLg5wZiElAgEhtncIIchczMPgdv0wF8uYuVimepvphC3Igo2Iho/zH9uIOL4VVu3EJEBIHPAbbroL7jon/KguOqiv+Sg25TgzggQ5dzrU+YoyywLJ5i4lEW+mRfZejlZE4jRozWD+xxlWYJpumAWDZjQoA6+uCakvYTC3QSi3ZBG90Ia3YVvWcGEZfNBOuDNHZ8PLhZOSXDqmWdH1jLPDvfyzZZkXwi5AmTAPQAUmXdAFDmKogRv1sPiqqbq6xNiHVO4E8F4I6ZwM6FwDxGPXvX4v0pYC4YUpaO+6RhNqtdmh9JFl3EUCADWklEpJWlMcTg2Q5VSYgx9qxbhZxJNKVHWa6wxP8sXCj4rGgPm7n19519+G/33ep3PrJwSK56D7uoyreXxlcfxlQ0nAOr3bR8APpr8nyNRnj0jz587Lc7PNFjz1CJfDkIKtrb1JgAMnvfGen3TA4DexXPSLi3y5aVFvhx+iWjaCACi2SZnSUpxEFGgNekoouBPf0l+/+m19JMnnHoj/wAAwNwsnzt3Wp5fPsVXZ+psZnWZrx0cmr1W2xxyATyMKAhDCoiIHmzoe//2p/i3G1t64wnn3QGAnd/8yp9bXxGnBwPbP54EFMUU7e6ZbUTAC+fEpfNnxIXrN/mniICVMquuLPO1go+Fo7Y5DCMKfS9zlZdLWDYG9O276ubv309+V6uyeq2K9Z/+yP1Pf/ue9zMpUd6+p24BwMHz9i0HWfGxdLaCjR/W2ex/KmHtDZ7txl8wZg85AvBJiBoD/tifv/Q7TdzIAQ1vBTS8NbK9T4aAjCiwFkwKXzME4JsgezGicNFbLGHtjQqb+WEVGz/OiUaFAfNe/Jz5mQGc5+gXS2C1grQ7pv5nQ9v9yFpSMCWaLwX5hsB10JuvYP2dKpv5cQUb7xSwfHESf/b85wF3Mt4S3OajsUYAyq3bEQUbA9t+fwDiAwukEooPERFexcsVgUkBsiJAVhkw9/ifBMqyC/5ilTV/MsMWf+Nj8bQDbpMB95993kl8dwYOoiyzP0xAhJk3Y0jdDwfU/SuzR39UlLQN6ABeuVIHIgIKiW6ziJXLZWy8W2UzPy5g6ZwAWXnxtfILawIAcI9/+Y/HfycCqw2YcEz9z8bU/xQsYEThFnzrUnkZOXTRX6qwxg+rOPOjCqu/40PpzIvOB37smZLgzh6fDxZsbEEHIY3u9W37/QF0/mzBJCkl7Vc1H74LyDW3LQB0888rxzOJJufACz4WikUsGQO6P7C9KKbQEtgkoXg4NIMg5IHRZL6y5FEe3TxhoiwL7HNmm3x2dVmsNWfYrDag/+5vPFiY50uL83yJc+CMAeMM2AuW7nwEmvzzrLqdn3+HHoWhH8MkcWh5SayuLvM1IVAYQ+a9H7uVxTm+WK2yGmPAxgGNGcsrLhF84UcWePfMBfBRk4/DGLBxQnEYUag1aGTIpES3UMDi/BxfOHdanreW7N6B2YsiCjlDVquxxvwcX5ifYws/etf5SbnEyp6Pvu+hvzDPl5KEknFgx+YZWe3ZoCHzoLBSwNKZWX7qUgmrVwpYPu9BcZ2DyCx0j28zngcvcAQBQeaG4uCCv4SAwqAOEoh2FSRdRqz/wtf/mkBknAPzOMhKDWcvFrByoYDF07lraNVFf56DKCKgeAn9krmpCJklqwyYiOBk3eZfvNyrfol/N8BRFDiIQgXrZ4tYvVLE8sUCls/5WFyX6M4iMg6TZK+TAKFgwD0Hvfkyq78tSFZcKiwXqHw2pNE9juIegU2/LVf6k5C5xWVFoFNl8P+z96ZNciTXteC9vsSea2XtC/algUazSWqhJEp6Zs/mmWZM8wvmy/zH92H05s3jG4kakSJFNrvZK9BYa6/KrFxjd/c7HzyyGg1UoYBGFboB1jFLw1JRGZGR4e7X7z33HOYwZEKC0w6x3qlj+8c11vpxiI33PAxWBch6xcF7+ftxzJHVXMABGHoQrAAAcMY9Ce7MhIafu+jfLSDbe5PBRsXB9Bhwv4Ht6wHWbwQYXZ7OCXbjKd/gXMk4khEEpDWpxFJpzu5+VNnpsIHtaxE2bts5MbriWcrIzGmPB7TjIagC2p9KcpoeBasB1a4lNL7HkN+3jUJ/eqX0HxpODjQZct/HIAxYqDWpwdD0s4xSIoCqpD2KY5poDYpxcI57n2lHefVXYAy5lChnO3zupx86f3HzunwvzylXispajdXrEauPJmY0HNGQcTzsmPq+wDkIx0HnyiVx9ed/5f6976Gf55RJiU4tYnXGgA1HZpBmJrUdlKcLrUkzhlmSUlwqKBEAHQdlGLBwfpbNX7ssrm9s6fU/fl5+nGWULs7zpU6bdRbm+OKFVX4xDFh46aK8wizxiuVVI9dkQmNl+R0vgC3j+hhebLOF/1xnrZ8EWL/ugjc/7ZyEV5oGvzumpRUX/EUHvbkSi15Moy8FJOuFvY43ArvbFpGL/mKTzf58li39rxV9YLYitR+WgN7I5dhzMQJTatLJGQaaAOfBJgAAcBCBA+5cDVs/mWXL/xhh45ZAWWcgAmZpEKc8DyBnwD0HvHmJTjvA2lWfaldDqt/omq1/yinZ1EAGEd9Yoxza0nlDkGxgVfZ10JsLsH69xeb+U4ct/QMHWbONb/YZPcXTMwRkLgQrtrnIm/NYeEGS01amHBaU7b/hzBZy4IEAp13HmT+f5Uv/mwfhBQfdjt10Hs4Jb8r6mSEgIyKlQccEJoczzPQKEKEEb66OM38xx5b/0cfaFYGyXn33pz4e7FrAuQP+okS3Mx0PAQ2vds32P2WUrBswBZyS8co5vjtOXJgNkSkqKR7GkAc+C6QEB9EGX66LnuOAiwwYEZHWoLUhwxgyKdDhzJLHHQfdWo3VfQ99xoB5HvpzHT6fZpT4PvpFQcX2rt7q9fT+wjxfWlzgS2UJJREQVvnQswJVou4ABJwh55y+FdhyjmymzRozbd5pNlmLM+TDEQ22ttWmECgW5vlSFGJUlDYAnO7XqvfV1XsIbp1Hv/MHMYaoM8OLbk/vr2/qJ5yDuHxRXF1cEMu1GqsDahiPzWgS0yQMWTSJaTKemHF/yPoPH6sH9x+qr6fvlWWUpRklG5vqSZy8WIvUBX/Jw2C1zmb+rMaaP/KxdsUBd/ZF8jaVFIkhsl3ThzIU8I2tJx7yEFFixdF8Zrf/rXv11E4YrbwHkAaVFJDtlpQfVKXzMwVD7ggQUYDRXIj1WxE2369j+898jC5yEBEHET7bMPEiTD9HRfTXUC0EFY+VIz4lgXQCDJg8h2wngfHXJRSnXjIxYIqCsr0YRl8yw/0C8v0q8H+KT4Yc8Zl/2587DrodB7zZw+/7u2R1vmcgIk47ZWvYfD/C5p0Ga/9ZgLVrDnqzCMxlePyGx5CVKDL2VYKVo6m+c8thnjaCIMLTMkgwlQizVA0mkBj3MFhlwKRi5QgAMKHxVzGN7iJi/CaaYqoKgy/QaTrozXoQrtWx/dMGm/nLCJvvS3A7DJkEG/RU8io0lS1SVQNUXjX06eo9seKvTmWQnCob9vR5D58dRJRQcQIBkCkoBhmmmwRG55RtwxmXDxkyzkFEHoStiDVuhVi/1cCZnwZYuyrBBpnVPXgpVPfHPDsngP3ueTW/2GfihHmBgHQB2X5M47sF5PsEJyUVXg2VukYoQEY1bH9QY80P6tj+cx+jyw66s9V394LxoIupTJEBKqykHZjDz2qloDyG3K24u8eNBwmEzMfwAgIKhWqCDHlMo7scxV0DOv8hNYn9qeHkQFODzlKTxomJueCi0cCW56JfZdScWsRqvs8CzoETASlNSmvQnAFzHHQ4t4Qjz0O/WcdmEGA4LccvLfClqhEFdvf1zqefFx/fu6/u3rwubxUlFL6PvuvgK/PbXhXTgJAIiHHgQqA4LH8DAENgrSZrX7ogLkchqyUpxY+eqId/+GPxeyFAvndd3lpa5Cuu+y2OktXt0WSs/BAKzuG7lVGfQllSsbunt+8/Ku9xBuzmNfne0gJf9j30yVglgNHIDAehjg76rNvtmX0ATb/7Q/HbX/17/q+H12bAaEM6r8rxLzqnj+Fak3V+3sCZP4+wcdsBb84S94+H1Xw0pYJyokCNDKnY6u2Z0t4aW3ZjwJyK6B1wENE0MDnpPlQyMGlJeTel+FEO6ZYBfeqyDM+CWS7eXNV5/b+02NzfSnDaEpz2d8xWEAFpU8kYgQ08sZpgHQSc3ueTnhsyoLOMko2YRl+UlHdf+cOdAAM6yyDdLKk4SCl+dEC7v5g2e9muebsgTP9v2k2PyD0Bol7D5h3GuGcDtTeXBT9loADZcNFfbLCZv+iwpX+wpUGnbZsXXvyZyMoWjauGjYkBk00X/+n9EihbApxm9f0f+zwhoHDA7XAUEQIKj/urXb39f+WUbhvQKSLSWWfzbGaf+/aeePMBRFcarPOzDlv8BwFOw+pDPjcmps98rqAcKChHhnRajV8GUAUvKGocZM1uSJ8lKj8PDiLykLka6pOSFQdkSBP0SjjjQBMBpUS340N4sYVzf99hi/9FotuR4LSw0k59xbckO39OtUJJQxVQ2WoJt/qrLzEnEJDKIduZ0OCzgrJdgtPVIEZAJsFpuugvN1nnrzps8R+qpp82A+7CCfOhVdUoJ1aeSU2mm46q8OZONzECoFnpNB/7fpXM3ixDHjDGpE/B2r7Z/K8ZJRsEpnwT4+EcR+PEBb1UpIZjGvT6pnuhoIu+h/7KkliZSuY0GqzVmWGzroPueEJj+zIjtJaOrYtr4tKHd5zh9StyptVk7WaDNTlHYQwZpUgRAXkeeoGHQbvFO50Z0w9DjDgHPi1BT/mcrSZvNhvYunZZXluYY4vtJmuvLInV61fMjf2e2e929d5Mm8dJYmLfZ0GzwVo3r4lrC/N8oTPDZ1eX+VqaiqQWmdrqsvDHEzMeT2gUBljGiYmLAgohULRbOHP1srx+57ajJhMz7szwzHPRK0tSggOPQoxaTdbuzLBZBEDXRZdVRMbpfauoBUVVmi5dB5y5WT5/87q4dfumE4wnZhwnFOe57fhqNXm72WStv/lL92K7zWbykheXLogrgoMIAx3Nz/HeeEwjACj39vWu72Nw1TZNXZcS5XBkhv2K1pCkFB/0TS+KdK3X5z3PRc+R6MzNsvnp9dnjINEaNCIdOXgZcocBk7Ns5WId2z8JsH5d2oUtePo4IjKVzmNaQnFQUN6z+pdqrKEcK1ATAzo1NM1s2h06q7TiGHCfofA5iEiACCtNPZ9D9acNQis9TtuZqKAcFpTt5JBulZT3NajkLHesVWex9NCfj7D5QYPN/HkNmx8EGF2xgTHyI7ILBGCzWFM5Ek3lRIOaTGU7DFBJZLNbtsxDpmok4NNOXEQbkB8GdTi9N7ZjFwBAg0pyK4ezU5CVvznte1Dd3xQAUkQ2RJpeI3erTYOLxB2GrPo3r/6PORKdpkBZ8ym6ZLM7FLxtcSZDJjgIL8DoSo21f2zHRO26RLddZW8ZwGFGCohIKSiGVimhHE11Me2fKtagkkpwXAMcbrxcjra5RqCsCXDq0mottq3e4DcZIqt2wF0kJj0MVjmIWsbSzZTixwmN7+WQbgPAqdnIHYVpd7UEpxVh844A2Yiw+b6LwfI0A0VkRcQVFKOSip6CcmiD7eqeQDk2ZJv8qsY65MADhjwQIOsSnKZEpy3RbQuQLato8e05qPp+JACTLvgLETTe16jijOInDPmjs+DqWZ1RJiW47Qjr79Wx/dM6a/04wNo1ROZUz8SRcwKR0RpUrEAfzgmVnE9qwBTTOWEq0F8VythhlhcPx1wlgzSdJ7k/5YZr0ElxqM6R7WgoJ09XlF7zs1ufFpC1AGvX66z9kxq2Pgywdo2jjI4YD0RkSgXlsPzWOChHCoqhJj0dD8W3xwP3plqrwo6LutUgddsMeMCAO9MKEiJyDpwzQgEYXuAo6inFj1OMH6cUPyog3YHXtJX+oUFKlH7E617AQsaBIyKLR7o/Ger+syYsQqL0fBb4Ea/X23w2qvMm5ygYR54lepImZjLu696wp/bLgrLXMXF5FicHmiUU/b454Mx2UAuB4toVcXNxni9pa2lErSZrey56vQPTPTgwvYMD00MEnOuw+R/dcX6yvCRWjGUNmZk26wgBIs0o2e+ZfTKgayGrXbogrvg+BhfW+CXfY57voa8NGK1BT11xaiGL3rshb793Q75/7aq8uTjPF0slyzDEaHNLr29sqfWtHb25vQ1bc3N8/vZN+f6tG/L9a1fEjWaDtzgH3mqw9saWfrKxqdcfPC7vJ6mK85yywcD0k9QkUoBcWuTLQrhibUVceLyuHq5vqidlCeXOrt68sCouLM7zpVaLzbSarF2UVPgu+rY5CPRUQomIyPdYQsaYvKDC89C7dEFcDgMMN7f0+qN19XBzS230Dkw3yym7fk3cvHVDvn/rhnN7dVms1SJWCzz0F+b4wsamevJ4XT968Li83+uZ7l7X7BEouH1T3nn/tvOj9Q31+P4DdW9nV2/lOeV5QXmvb3quq71+X/cqDueNKxfF1en3utfVu9s7evvJhnr06Ak9AIBvlZ0RkQmQgQBZ9zG8EGHzjov+YrVL/RbsIlKOCsj3x6b/hzH1/5BTul1QtmMnDyoJjLauNtWkA9PSeVUitj1fLgPuSZRNaYXf51z0FlzylzwMVlz0l6rytCgo35/Q8POM4nUD+kyDTAC7W+Ygah5EF1ps9udNnP25i/4i2ozNCyMmAzrLKd3OIF7PKHmcUbxu9e6yPQM6MaQzWzq09I1pVazS35McRV2ArDnodSS4HRe9BQe9eReCJQ/9ZQDAgrLdjOLHBdiu29NaUI4HGQIiY1kneZWJtqUtwuo7PZSqYRKcZkDRNY0q5iBCAqC3Kcy0JULuVoHUnVlc/kcfwwu2wQWPys4am2GOH8c0/iqm8d2ERndLKPqKyhEdlovBfNOg8S33FMdFf8lDfynCxu0atH7kYrAsQDb581xkrDiAToSNW5qpMSPuaaNiOONAcwoJTqvBZn4WUeOOg9780/xkAlNoUHFCk68nZvBJQuOvM0jWC6v7mn6TtbPZfNtZbSsbViLJafkYXqph68MQ6+95GCxPN1hHQYBsBFi/oZmKR3TwESceVBuv0w00gQkOInTRX2pg5y9n2MJ/sXMkc0/qrDZAZQ5Wmiej+HFG8ZPC6uLuKVATQzr99vNxOCfY+1LJIjnozkhwO3Y+8Bdc8BereTK00k+TRwVlexrKsQ1gTyt4QGbnaqddY60PZ9ny/+6C/V6OHg9EdnmcPIwrekdC47vV5mtkg2pScMx4mJpFeOgvR9h8v4atDx30FiRgA4E/K8vBBIgaA+ZErHlHg46HpvvrIZUjeMcCTcdj/uySXJtZlCuuy3wuUD65l32WjPUIntEddz3mt+bE4uIF9+rV9/2frl1zbzse86XLvP2t8kl3q3hy/7P093c/Tn8z6qsCGRo6pWDzxECzapVP6zU22NnV20/W1WPBkXMOwhg0paJSKVCGgLQGnSQm7g/Mwe6e3tna0ZtlCaUQINMUkjQ1iTFg0ozS9U39ZGdXbyEC7u7rnVqE9TynjHNkaUZZHFNclFQUBRUHA31QlqCkBIdz4FqT6nb1fllQ0R+YvlKgCIAYA87QdqgzBMY5iFJBud81e3FC8XBoBmUJRVUiZ6zieCgFKjGUHPRNb3Nbr3MOfHrdVWYVk5SS4dAM9rp6d2dPbzMGnIjIaNCjMQ2VMqoooRiOzKByHgJrL0m6d2D2n2zqJ40aNrQGJQQIzoBPLSGhYvkLgWIcm/H6pnqSppQmKSVak4KqZoKIqA3oycSMAYj2umZ3v6t31zf047v3yy+3tvVmllOmrC1VMtPmB1vbejMMWNSos0a9ho3DL75yCKooAs+t+QjIbDksWKqExhckOs2nj6k4REZDOUlp8iCm0RcjOvjd0Bz8rqBsp4B051Umt8qyUQpymg56HYe8BRe9RReDZR+CVZeC5cpRoz2hwadj6n+cQfLkTZTMBciGj9GlGmt+EGHzTsjq148ri03F1hWoiaKin0O6ndDkQUqTB9NFJYdst6Bs12YwdHZUoFzpcwpBssZB1h10Ow56sy75h/clh2AVAFlB2X5C43sFpbuGzp6rSt9oM7xUgC/RSUsoh+abjMVbVcJiwKSD/oKP0aWINW/XWPMDq7bAvWczN4Z0WkDezSndnlD/kzENPolp/FVsRl8qKEcaVPyi7FpFr2Eu+Yse+osKy6FhJgugvBlgdFmSN8ssF1ROj0eb1XJ9CC8Q2o1fipMHHMXwTXSiM+S+B+EaIBEC40CAUy6qDaaS9QkNPx3Twe8TGt/LKNkoIO+dJLDNUfiCZD3HZFOjTjRTsd3YMDmteDxLR2LIPQeY41Gw4llx9IWCsn04ZVkfDjzwMLxYw+adiDXvRKxxC60W6HPVDTsnkNagEgVFv6B8L6Hxg6n+Z0bx48qMYk+DGmvQ2VH3ZfpsCJI1m91zZxz0Zh3y5qdzggfBigARVZqrGzklG6fNUWTAXBf9pQBr123g17yDwF18iu4xHQ+aVFxC3s0o2RjT4JOJGfwxptFXMY2/1FDGdjwcf21V9lS4ZINohWpsmMkDqF2348GdsVnew/EwzfQ7AUSXAMEoVgwSM/6ao5hmjN+JBiHHY35nSa6uXfNuOy56jCEfHqg9ZN9sdBizcgidBdleueLdvHLb+8mV9/2frl7x3mMcOOPI6y0+05kXy1qTGnTVLhkyiTXbOZUx89JdullO6Zd3y897B6aLCIwx23YrBIrrV8SNRp01iYi0ATMYmv7vPip+8+iJemgMGGNAK0VKaVCCg5AOOnFMk/2u3kMA+H9LKj76hP2+KKgoSyqIgCoSjzYGzHhixsOhGQxHKPKcsq8fqHtT0fEspyzPKUsSiuPUJHFMkySheFNrnWaUfnVPfRkGGAiBsvIGz5KEkiQ18XBEQ61BVc1LtLmtN/75X7P/GUVYMwZMWVIxGtNoPDGjooCiKCj/42fFx3v7eg8RsCyh0Jp0ldox2oAuCip6B6YLAEDWpFt//VDdS9I0cSQ4xoBJc0qnTTtZRpnVuVRf7HfNXq47v6EAACAASURBVBBgGAYsUIpUXlA+DTgnMY1HIzM0hogz1ElCyW9+l/96d0/vDIZmcNA3veHIDLKcDkumcWIm9x6or/a7Zm9q6zn9WZJRkiQmHk9onGbPczQRkDvodUKsXXfQnT0yoLLU1rSgbG9guv92YHb+nxyy7ZzSHQ0qNvCqIrBkDECpoBzaHrR8kEH8hNMw5CAigbLugjfvoDefUbKRQ7qRUbKhz6BM/Cxc9JdabPbvmqzzMw+D1RdxrwzoQoOOYxrdHZneb2IafZFBsllQtlvx88Y2wFSpXWiPnmSJyCCisvfSFIZUXFC2m+LkAScRcCv43EBggoCUomKUUbp5tnfiTxMMuB9h43YL5/4uxPqtaRkbvr1JM7b5Iu8OzP6/jejgPxIaf53S5EFJ5UBB0f+GHnE8iIgQ0Sgo+imZQoGOUx0/qrHWhy2c+9sIG+9LdGcZOI1nf1eCOxMyJnOTbk9w8GllYdmFVzBk+I7ASiNxmpInBeWooLw3pO6v+mbvlynFD3NKdxSUfWXLuCfK7VSc1lFK8SMFapKbZEOjGgMDssYIweox18I4isiH8GKI9ZvVGOud5geW6M402MxftHDu7wKIrthA6+hMZrXxjDNKnoyo99uxGXycQ7KZUbqlK86udQCbKkYcOycQIhp7HClNOiko73KcPHpqTqgz4J71BtdZApOHcMobOwGyVsPWj5o4+/MQa9fZN6oCz4wHowrIdqrx8PuEJvdTih8qKgYKilHlVPQy40GXUBwYMrkGFad6cr/O2j81OPf3AdZvVI1HzzVcSXRnQ2ROZuLHExx8qkmnJeRdsBSgtx6Oi35nUa6uXXVvEQCpggo/ZLWnm44ZB+G4zJtZlCs3fxL89Y0Pg58FEatrReVooLvJ2IzCOmsuXHCuxmM9HA/0AePINx/md+FNB5pFQSUArFcvAAAIAuaHAYZRiLXbOWXWnxnMJDYxWLHolxWM3n+Fa35ZYncKrzCxVHyE3kv8zsPqdfJ7fpP12a5eL8JG9ToR2pAB+wB8Vb2ORJZRDgBb1esVgVyA07K2eU7rmEBTaVCTnLKdCQ3+2Kf9fzHWNu47SetUQamGigcIz3zXDBl3qkCzIpCPNKikkrA4E1hbSea02fxyHds/rWHrxxLcmaMmtSprYUooDnJKt8bU/+jA7P7PMQ0+KSHvKSrHr3r+ahLOqte3fh8RGRITVbe+i4BYiVWf45RgsylMuOA3Q6zfbLLZv3HRX2LAvWfVBQyZQkExTGnycEi93xyY3V8UlO3klO696nmrsRADQIzIeimM72ujJpyJiAH3Q2RSgKzBM4oEUx6bj+GlAGtXC8y7hnQKZxxoVteA00w3gSlzynYSGt0dmO6/98zu/yjANqO8SmatysRO54NdB709xrjPDA+QofDQX6aq4eSwG7m6Fg4icDFYDqh2Ncf0pPn35T+r5Ws7NWzN17D1QYPN/PkL5gRDQEZBOcoo3ZzQ4JO+2fuXgen+uoSiV1Lef9XzV/e4qF6Tb18bIhJWcwJ3EZio+OunEmhW9sMiwKgVYv1Wk3V+5qK/zPB5SpUhnSkohwmN7w+o9+99s/fLikP+yo2K1TMzAYAJQ9ZNYHJXG51zJusVh92tRPAPxwMiogSnIcFp+BheDrB2VWE5NKRieEcCTemg2+qIhflV51Iam/F4oA+mnubTYxyXeVGTt+eW5YWLN7wPVq+6twZdtbO/Xa7398rt/r7avnDD+6A9KxdnFuTKheve7XRixge75Rac0ubsjekOnuPtAlpCvidANhge3U1LoPOCsv0Mko2SyoEBXdAJ2ZrXwXTCrhLnBYEujM2KnNk5BciGY7tpL7noL0pwWs84oBxi2hA1oeGnfbP3z2Ma/DGB0b0qk3UWbhxku0iJTNWZetpdpX/qqHy62x4Gq5Xo9moV4D2XuSoh741N/+MRHfxHbIaf5ZRun07gT8YAqJzS7aHp/hsw0pxE6KK3UGnYPrcJlODORNi8o7AcVRmcVw52v/PFVp3EY+p/3DPb/3dMoy8UlEPbkPN6Y1WDSmIz/AIQQKLTrGHzTmVd+dw9mEpquegvcRLR65z3aQgQkQPefIDRZRf8ZRtkHu12ZPmpOk1ofPfA7P3LiA5+l9D4XglF14A6dcrPNPsHYMjYxkJ2mpq6DLgrwWl5GKz51XjgcPS9LSDbH5vBH4bU+21shp9XnP3XHg92jTEqp2R9QHu/BENaMFm38mLI4Yjx4IA3W8PWhwptYgR+II45rwvGkXsBD/2Q1QZdtdvdLtaTsR4SfUNpCuu8uXLZvbl8yb0eNXgrjc347sfJb+7+If33UV91xwN9MBnqviqp4ALEzIJY6SzJVddnx/KgXxWvFWgS2VqR0qCqEnau9Vk3IZzjDQEZMo+DrNkGoOdlmQxQWULRt1zDcmTobIOcalc+gWd28WcJAU4zgNplH6OLLvgLAp8rVx5mCjTopKS8OzGDP3bN1j8lNL5nQGdndV+e4Um+cevNPwUgcNdBb9bH8IIHwZqHwfKzx1Tfgykp742p/9HA7P9/MY2+qniBr41ppp8h31WkJkQAITVu16hxhwG4iM82QwBIdNoRNG6XmHfHNPgEK22X07ieE67WGFBpSUVvYgZ/7Jnt/6agHBkw+Wmc34BOExjfU1QOatT8wIBOgQAZcAb47c1wJVYy46K3KPD0Ak0OIvIxXAswuuyivyjRaR1xGAEAaNBZSXkvptFXB7T7P4am91s7J5wdj7oK5g3Aix3fvgumzlQehBc8DFZd9BePOT8VlO1azn73V5Y//uqZzKMwHQ8c+bYy5QgZcyJofhBS/ToD5h01Hhx0ZyNovF9gtjvGg4/e3Hg4W9hAk4Wuz8IiN2lvV20mEzN6+rNFDd5auexeX7zgXvVDFiVjPXzwWfrRb38x+q/JxIzT2EwQABwP/eVL7vX5VefyzHy57Hh4olXsy+K1Ak2lqExTSB8+UvcRMiisxuNLe2af4+2GldvgLgfhI+BLCxK/TXDQm6ux5o+sbMeLF6uUxl8PTe83Izr4j5LybtX4ci4S/BaDAw8DjK5E2LzjoDd71DFWlkZNMkg3Exp/ndDkgYJyeNrXUtHWs5Lyg4ziRwlN7rnoL7vw/GJfdUMvuugvS3RajLjPkBVnvRnUYLKEJvcnNPg0hfihtUN9Va72C2HlmkFnBeR7CU3uu+gvOuAtPMuPtK5FTsMBb5a9oEv9VSHRaYVYfy/Exi0JRwaZh8gp2RhS79cD0/11TsnWU7qYbyUEiFqAtWsRa9yW4M4cdczheKBkI6HRvZQmjxS8Om3oJFT9x5WW8uRBAuGah/6yA3zu2WM5yGiqXGKrUm9mPJw1sGp6FhKlVqCzxMSqpAKmxh8M8fafhY2FNedqqyMWkrEZHeyX24Ou2kkmZlwWlBMR3fgwiIc9tddZlGuOy3zXZwHjJ+tZvyxe643KkhQAKMbw/uN19RBshvN8Yf2TATIOzOXIgxe5P7zNcMCbi7BlA81jSkRTJDS53zXb/y2h0d0C8u6b6P4+x9mCowh8jC7XWPMDB73nFjAAAAMms7zcZCOh8b0UJg/OIltSdcqmPkYHKcWPEhrfq7yejww0OYjAq8SzOYhAgyI4gyzX0zCg85Qm9wem+28pTR5W+rmnds7qviqBMq2UFu4jMEei2wGAb212GaCUIJsS3Q4HfoplQKdlve0bt47JZh4io2T9wOz+88gc/C6HdMuQPgsKzRuDQFkPsHYtwubt6p4/B6unnPcySNZjGt9LIX50FuOheq5UyBq91EweeixY5cDDo8YpB1GrLIOXBDpNTtzXNgnwtgeayAVKLlBoTSpPTKwKKolskIkIGNZ5c/GCe6U5K+Z7O+XmzpPifr+rdpOJPgz+s9TEg57eL3JKHQ8912ch569sNHAsTsV71BgipUgrTfo0RT7P8X2CSJNOSigONKjkqO5QBsyV6M16GKxVZcUViU79+7ja0wZDJjkKX6JsuegtSHTaR7khEZEpqeinVrZoPYdks4Sif86VfLuBiIiVtaC1YLWamUcda7uiJw9Tih8rUOOzLskZ0HkB2V5GyYaCcnT89SNjwH0H3FkXvYXTDLaexVNCIWlO6VZMoy8LyvfPKqNfyaqNC7C0nSN52ogMkUkrQcVe25WNIRMcuSfRabrozdtO56O5mYrKUUbJRgbJekbJRgl5903IsJ0VEBGtYYGMPAyWK67ykRvvEopBQpP7GSXrGtTkzMcDqbSAbDejdFODOpJWNR0PHETggDfnoDfHQJxaafj7AhGYsqC8yCljDJkbsFBIlIgAQcTqs0vO2syCWIkavEUGqLtdrm8+zO9OhvpbTWiVdTYyBoxxFE9JL54KTtXk/hzvDgjAaLD6Z5pUQkfoJTLgrgPurIfhRd++1gTI5tvoYf0srEA7DyU6LQe8BQFOG4/qKgXSJeT9lCYPM0rWM0q3SigHhk6PgH+O7wPIGKCsStALPoRrAuRzckIAAIrKodVJjR9pOvuufwKTW43EeEOfUJKsOHWzDvgLVVfumV3WYaAJ6XZCo69KyLtnaKRgFKlJQdmOonJ8TECLTykyCABgrzM3IaDgIIKqQXCuagI60iK5kmR6klL8JId0qzyUtnpbYTV9OYiaC/6SB9aJ6qgjSyr6iRnfyyh5okmfuWGAAZPllO3mkBwbaE7BgPsuevMOePP8mE3C2wRjyJSFyYvMZIwB9wNWEw66AIBhjTfmV+TFzoJciRq8ZQzp/e1yffNB/tWzgSYgIOPAGUNutTXhWamq18I7We48x+vDBlDFQUKTBxE271iXCrszPZRTQUAE5khymjXW+sCAyRIa3Y1pfNfHqFtC3rNezuY0OVpnDkREB9zIQXdWgNPiyD12DDWAgHRB2e7EDD+v/NbTd0UM+E8Ztttc1h10ZwTI+nHKCwAAGso4p3SzsF3mb2JhLRUUgwLy/ZMWcgbMkeDOOOjO5iTWX3Ts68DaC6pxQVm3pKKvQI3PNqtPZMDkitTEoMnhCJ3IqcyRLSIyyYDJyn3mO10XB+E76M5KdGcY8GAqEH4UCsp7CY3vZpSsa1KTt50LyIC5NsB22gJlrZIzOjJRpUGNM0g2Ckp330QW14AuFBT9kvLeSZrKDLhnnZTcTkbJk7O+trOGKqkY93V3dKD2/ZBFF254t8uCMlVSPrskL6xe9d5buOBeAQAYHuj97na53tspN9LYfGuDKiVz/IBHXKI0mpSyeuantkk8DzTPcQxIT7tmC8r2rLgyGDhicuEgohq2fuyxYGVM/U9cGqxMaPjphAafllT0DVACp2z/dtYQIOsuBMtWQ/R4/imB0TllOzENPs0p3akWsnO85WDAXAfdjgPuLEPuwwuqPxp0XFC6XVhL0TNfWK04fzkuoTg46XwMmSvRaTt0+DnOBAZMqSg/KCjbUVAMDejDhoSzAFVVw8ofu6QjqD1ToM1sCgbcNXYa+q6BZuSAv+CAM3OUFe/TKCHvxmb4ZeXK89aWzKfgwP2pBS4D9uLxQOUkp3SroHzfwNlzUgmoLKkclVj0T+LAcuCeRHdGktupNo9vNVRB+aCr9g721XZzRszPrzqXuEApXfQW1pzLF657d8Iab6iSyv5eud3bKTf6e2qnahg6hHTRC2q8LiU6ZUF5WVBuzOlVI84Dze8BVgOacZTS52HYYa4bqfF4V4/H30nrDjkXyJggIgNal6eRPbQcKDXOKdUZpBspxY8JyEiQLUTuADyd2WTSAW9WgtOEyndZgtNywJ3NMdstKe+FrD60jjgqMaBT/cNulEGOsuaivyjQaR7nAGRBuoT8IKHJg5KKg/Mu83cDVeZjRqI3y4EHz1oKViAAK0xdUH5gN1Vnopf6zEltt+3UMepFxyIwwVFEAmWN0fMc41O8prKEclhAtq/pxZaCp3hOTS9paWpdiVEA4HemtDDggYPefCXO/sJ7qagYZhA/tpuPt7lkbjHl+jrodirb1WfHw9Myb2lJebeEYnCaGp7HgawpX6JBxSedDxGlIFETKCNGb79SSp6ZdHezfFS7l884LnqzS3JtYc25LF30mjNirrMgl5OJGW09yu89vpt/2t9XO1lqvlUFQYb4k7+NovacWHI85qexmSQTPdIlndp3dx5ofh9gjKMQHq/V5t3V1T+T7fal7MGDX8J3FFVGIVzmOCFpXZg8n8ApdNIRETFkOYFRGU0ej+jg9wRGM6x7DPhRkyxDQOlisMxR1n2qXW7A7F/nlGxmED9JKX5ovb6T9YKyPUTs/3DL6WizF+gvSJCNit91JAjAKCqHOaRbVtLm7ZUuOcc3YMBdaTOaneN4eFMYMIUCNVJQnnG5eAoiAlO+jFQOAnJmfdD9Fz3Hr31FYJSCclRScWL58vTOScYGmycFtQhY9Trga/DOONpGEoFOG/HFgebUMa2kov8mgq2zRpUJnK14qS/M5howeQnlSIOavIkKDwEYA6Y032w6jgUCcobcY8S8FycQ3g5kiZlsPsi/MppUUGP1zoJcrTX4THteLoP16KL9rWL98/+I//XBZ9lHw556LsZAAAjrvDW/4lz0AhbFQ92fDPRB+UzW83VwHmh+H0BE5Fww163Jdvuis7DwfrG3d6yV5LFvwxgDRMajqMlrtXnK8xEpVcApSTZM5SPqrP14ZHq/ZQxFFXhhpUMmAZ7ObCKX4LQkOC1CWiYgU1C2m1H8xIXJsgPevAPxQg7JZgHZXoC11IBOre+3zqoSmP4BBKDIUQQSnBmOMjrKdaQq1ZmqfDcpKN+3O+rzjOa7gIqj2RBWc++FC6tAUfMxWLOuJ6TrrH2mz0ANW4IBdz0MVk+S17FNTcxlyL2zDTRJaVLjEoqBAfOmSsU0FQc/4Tj85vXdm4EY2I5zgbJ2pN0kTA0UaNpI2dOgxu8CnQaRuxKcpkCneVI2t7JAvWj/9abGA/N8jC4fYajxDA43Xh68gBL1tqDMKe/vqW2jSbVn5VJU5+3mrJhvdsR8nlAcj/Xw4RfZH+5/ln609bC4G4/1kfq+WlGZZybNUpNMhqq/t1k+zlNzao2Nb/2N/lMGcu6AEK5oNlfk/PwtPRxu6DQdAMCpNiTklGwMwZRokHHGAwOm8DBcY7ZUfhwYAqIA2fQx4hKddkC1q1PSdkF5N4dkI6N0M6N4PaNkXUE5VLZr8HvNCiLYrnOBImDAnOPKpgaM0lacONZQjg2YU6EtnOP7ByIKDjzgyIOTzAgCrN9Y5Bf/D0udqOiDZ3ltgAiAXKCoBVi/fsKx04XVBWBnlsGx5XyVKlKTip/5zoGBfSZskIJHchQJjDJApQadKFJjDTp7FzafUwUGDjxAfPGGJWLNO0tw+f/UUI7exGe3Qv3IJTrNAGvXTjiWM2Cu9YE/+jt8m2AIjCpNMR7Awd2Pk3/v7hQbfsgjL2BRWVJeZCYb9tRud6fcTCZ6qI4ph+9ulA8/+dXkF0pRmYzMsLtTbsQjMzit6zwPNN8AUAiXSekBIgdE4EEgUQifOU4E/NtlaCalh/ZYBtMyDyIDYxQplZPWBQAgMMa45zWY7zfFzMxlZ3Hx/VJKX41GW9z3SzJGgTGKtFYAQCiEfd/qkgCrjkytS1IqI61LIDJHBUoF5PsF5V0GwhdG1IkBVYOU7KBlTiUPezhwpx2fAmUkQEYu+IuAAIZMqVHFiop+AuN7MY3vJeR+xYwISsj2Csp7DrqJLYOY0gCp76OLGwElAxGg9TV/fkIiMlX5MtOgU0Vn3218jjcHBBQMhW8X1mMzHwgA4GO45mO49gYv76VRcROnEj9nGWiayhEmrhoH3zkgMMGQ+8cGKWRdiwzoTJNODaj0XTFteOqz+8c8R4eb8QCjywGPLr/By3tpWPoEc+zreU/0tw1kdcsVAIwB4AsA+IIL5JwBNwaMUi+XTe/tlJuqpLIsTJ7GZpwnJs4zc2oUmPNA8w1AtFqrztzce8zz6sCscDABAHPdOo8i62KACIiIcmHhijM/fwul9BGRAWMChXB0mg7Kvb2v1HC4ibb07sjZ2Wuy07kuOp0rstO5yhwnRMa46vef6Djumjje15PJHmldOPPzt+Tc3HtTJWrg3EHOpRqNtsq9va/0eLxt8jwGgOcmRiIiRISckvU+7P8yN9lOipP7AdZuBFi/5mOwyoAH/CUEcCu5Lg/QaflQuyrBnQmwdq2Bnb8qKNvNIdvNKdnIKFnPKd0qINsDgFO38zvpMhGY4MA8BkwcldG0aSsqDZmc6JyX+e4BGQPmMOTO2535QERAbl+np4t3BIiAFAGV70IG7yh8kx1mEo/puiagsqIBKTrDrvs3jSoT6Fi61LsxHl6HRvFDBhkwulqgXuZ4Y4i8gE3IkNEGtCqo0IpKY06vsngeaJ4xEBG9K1dWvIsX/5rXavPImCBjNGkrw8B8vwHGmOpgEM3mqnfp0t8wz2sgIgcpPeY4oRqNtgEASKkMABCF8OTc3E3vwoWf8Sia51HUYZ7XQNet8Xp9UXW798teT5qiSKAsE9npXPOvXv1PgMgRkaPjBOi6YbGz8ykplVNZpqR1CUcEmgCH1m/bALDtovcwwfHXNWxtECNlieJOG4kJrHTroFrUnhVIRkSOwLnt6nWaTy99OWW71lVk+NnIHHw0gYFHZBRHnj1F+qc3UZ5GQGEzF0zC0Qs0WU6pzuHcBeidQ2WSUWU+3uqmgacX1jMMEKgKNE357jbEobAVHHSOuZdkA0yTV7zMdybQhHdkPFQZ/unG6y0OmI9H5c74SmMwS0wMAGdmNnEeaJ4hmOfVeaNRY77fBMa4Go221MHBIyrLFB0n4EHQFu32Jea6NSC7BVG93oP07t3/jkJ4AMCY7zd4vb4AAIBS+qLZXNOj0ZYej3fK/f27wBiXrdZF0WpdUMPhRrG19Ynq95/oJDkwSdIzeT4Crctid/czUioHRAaIyMNwltfr8ybPYx4EM6bZXKGyTAHghc4KAFY3MKd0EwCMMuVwgoOPXQhWPQxWXPSXXPQXBYgatxZlLz0pVT618wCAgsl2CPWbOSUbKSXrKcUPM4rXSygOAKB/0nu9LuxEdOgockSgSVWZ7OROx3O8fahKbLLi6L6TC9Jpokqg6MrY4V3NaDKbzXxhRlNbNYB3a/M5LTnbz38+Hs7xajgPNM8IiIi80aiJen2J+36zKmlvZw8e/NKkaV80myui07nGgqDNXLcGUJWoGbtfHhw8niYCea22IDudq7xeX2K+38BWa02Pxzt6Mtkt9/eFKYqY8jwGIlPs7n6Rfv31L9RgsAFExsZClneJnH9ePtXZLtrti3Jm5iqLolkWhjPCGK2Hw62X+WwaVKJBpTmlO2Ma/FGAbIRYvxFi/WadtX8MAD8B9ImBOI7PcyQ4iGDqvhFh/T3buVkcpDR52Df7/zIw+GugCcGbCTRFFWTIo0oslWD0eaD57uIwqIB3NPNxqiAgIqOJSMEpOor8kFBtPh37TBxVdp36vU/nhHenMbCiDVTj4TzQPMer4TzQPCsgAgrhMd9vAGPcFEVs8nxMZZmYokh0mg5Zmg6qLCOg1dZ0RKu1IprNFUBkZIzivt/ijcYyr7KiJstGVXOQIa0VaV2SMSUZo8iYkpTKK4mjqTA8Y67ry05nhdfrS0CkyRgtarV53mgsMylD4JybNB0AvtwEUpWuCQAMIioFQCnFjw2YXJlikOD4vgv+ooPeghW9dtsSnbYEp8VRhN+U8p69Zfb8hz8jtGV4BDBIpWRuJ6bRVzN84a71FU+eGNDFGYlDmyqAPFI+paIIvIGS5Dm+J1Cl03isfM7054ZUokCNf4jC3JrKUQ7ZrnVpeVMNa+9MfPUMqMraHruxRKiE4d+1rB/Zz16Nh+cD6Km0EwEZTWqi7Xj4wWV1FRWDgrKdEvLuq+q9coc7InQaMnTq3BU+k8zJeslO1kt26AQXHSa59DvhktcJloph1s2HWc/kKtWFzk/63VcBIqIfsVoQslpY582wzpuOx3wp0an8y8EYMKqgvMhNFo/1MB6ZQTrR42RiRqfpBvQ0zgPNswOiEC56XgMQmcnzMeX5hIzRYIyiPJ+YLBtWQSFWTT+unJ297l269DfIuTRK5WwarCKiybIxFUWMLxkQAiIiY5J5XsNZXPzAu3DhL40NRHPmujXm+w3QujRZNkbL3XxlcnTVKJTnkG6XlHcTGt1jwB0HvXkHvIUAa1dCrN0IWP1agNHVb7iPJ2c6EVAIEBED7knmdiJovB/T6IuYhl/2zd4/F5R3CYxCxFPnbVaTqqoyE8ddH8fzUtI7CTrk25E6zt7QPiNGlVAOcko2K2muHxQ0qUkJebeAdFfDi33Rz/FiULX5rF5HPBN4SLl4B5tNTDUeNMHRGespdaKEop9TsvmmhPtfBZrKUQF5t7KLfaXrY5K73kywEMxFq07Dm5GhrPe/3P9dPsj24Zh7cvi7gjnhcv1q+/b8X44fHXw+etT/vBjmPWO7wk8x0ASM6rw5syBW5ledSwurzuV6S3SCGq8LiQ6A1cxMxno0HuqD3fXi4d5G+Wh/u1zP0mJymtfyNM4DzbMEkQYrRwTIuQTOpW16QxtYcu5AJbrOPK8hGo1lHoYzzHFCUxQTPR7vGiFcAQAopQdEGr4JBm1W0WbzrKUlIoen+ITIuWRB0Ob1+iLz/RYK4VGa9vVotENB0MaKrwkA5lDu6Dt9TCIAyKvXBABAohOXkB8oa0vXTU3yJMbgKxe8BYFOS4LTFCCbAmWjKpmHTwW600YiBoCMAwgO3OMkQkLSHHioUacGTZHC5H5K8RM4Ze3QSqYkr1w9jlpUKv/kt5scf47jQMbYZq/iBc0thoBUTunWgHq/LijdfqOX+BIwoHNFalxAulNQ3vu+r+dtRlUWn84JRy7Ilaf6OzcnWPkqUxCYAo7l4NqMb0bJ+tB0f1XCD+9506AzTeU4h3SzpOKVdCKRIeOSu9yXoQxlXUZukzvipfzS+/R9vAAAIABJREFUyZAuJ8Ug3ZusF8O8p3OdGmXU8ffy1SBd5rZnxcL1D4PFxTXn6uIF50p7QS7PzIklP+Q1x0OPcat/ajToIjdZlph4dlGuHVxU13aeFPe3H4v7ixfczf5euZWlpydtBHAeaJ4liJTKTZaNeBTNMdetVfJDAhgTzHVDdN2oCjY5D8MZMTNzBR0nNHk+Lnu9+8Xm5h/QcQIzN/eeqNcX8BnNTetEZzUmkTEJjHF4OivJucujaE40m6vIudRJclDu7n6Rb27+QbRaF2hu7iYLgtZz73sKsJ7mplSkxhnFTzj0A448lOC2PQzWfAwvBFi7FkDtqov+IgfuH+XA8zQQkLvgzQmUdWBgJDqNvtn7ZTVhnHKgaZQBnZnjZUrYU9nZ83H0jqHKzuSGTE54XKBJRAA6o/jJgdn9RUzDL9/sVb4EyGaiDOjsh5hxfZswbfSpOJhHBQhYcbs9tK4z70xGs/ITzw3pnPDo4KjK+KqUJg96Zvu/pxA/ftPXeSKINAFNjTbG3/19AOAl5YMAAIwyRbw5/DrvJ3s6U4nOVWKUKUm/fqDJGGJQ4/7ade/9mz8O/mrlintz5Yp70wtYKF30pyK3ZIAqbyzGGDBExPKqe6vIKd16mN/dfJjf/eqj5NefJWbCGOanWUY/XyDPCkRgiiLRcdwV9foyMiZ5GHbkzMwVFoYdHgQtHkVzKKUPVdkXARA5lyhlgFIG6DgBcu4gAIAxBjj/1oNNWhdUFDEQGRTC4WE4Kzudq3J21qWiiJnvCxTCRUSGQjjoOAFKGTApA2RMAAAd9b6ngal9JQCkANBHRERCxkFEOaU7OaZbBeZ7OWY7HgYrHgargpxphjPiIIKpxeUUiMisO4UIDURXGHCvxPwgwfFdiU6mQcWGTsVXmKaTEQEduYO3NpzMYcA9RO4w5JLA6DPii57jDeOboEJnx3PyrH+2VWFINlOa3D93hnp3UQXs+YuyelVG00NrZCERGf8+DCdOG5XCRmYzukePB6yktDSoSQbJ+rs6HhCBcVd4MnKa/my4XFtr3mxcbhvkyFWq4nKU91WuYlJGAQKKwKkHc2FN+DLknoyKYdo1ypRoSJP55l4KT/hO3WuLQNbsiQC5IzzucE8XOtO5SstJMShGWV8XVh5ROsyptXi9s+CsXrjh3bn+o+AvwgZrSQfdZGLG2a7ZzjOTljllWpOy7SDIpYue46HnByzyAhbNLMrVoMYbeUpJb09tAQE4LhsUuclP456dB5pnBCIiJuVIa13oVusCERneaCx7UgZUlgnZ4NBjrhuBMdqk6UANhxui3b4gms1l5nk1HgRtMkYxx4mQc1mVyceHJyiKRBMZUqpAKX3Z6VxFxwnUYLCu+v3HOo67pHWp43hfzM5el+32JWSM8yiaqwLPEBEZvIHgqOJyGg06zSHdUlQOM0ieCDr4nYPenAPefIi1GyFr3PIxuuhBsHqUn/AUEpwmQ+YEWLsWYv2mIV1kkDyBUxJ3N9b1J6kaPI7JaDKHIw8qW7rAAGSIWLyLk+ufHkjbjPbxgeY3dnZWBgutO9aR7lrnePtBQMqQTg3q/LiMJgOUCIJzFAFDHjBiDiLmb/8G9JvxcByVxAbZdgNeVXneyfGAnHEZuc1gPlpjggmvEywxyR3ucj/ZHj8a3O1+lOzF62VcjJhgMlyqX6qtNq6Fi7VLwWLtUu/T3X87+Gz313k/3S/jYggAChmiNxO0mjc6P41WGlcRAZEx7rb9ea8dzGcHyW7WS7aH9w/+2P9y/3dgaWrg+hgsrDlXLt7w71y66X2wfNm5sbdRPvry6+SLnfXiwc6T4kE8NsOyMJnRVluTMeCOyzwvZNHCmnN5Yc25MrcsL86vOBcv3PDuDPuqyzjyjfvZF9PzvC7OA80zhCnLDAAyb21tX4/HOywMO1WWUpo8H5PWhZ5MuiZJ+mo43NSTyZ5OkgOTZSMiMsx1a1PbSSrLhJTKdZL0qCzTSgopI2NKkyQHejzeZY4TMccJue+3TBz3TJL0TVGMdFkmJk0PTJ5PAJGxIGiC1orKMiOtC9K6MElyQEqdykN1HKoJp6heh/wYiU5TgGzkLN1RphwqLEcGdeFCsCRA1BhyH+DQ1hIAADjazKaH4VqI9ZslFoOSih6cQqBJAGDI5IrKkUGdHrWoIKItkxFzOYhQoGxoAlTHcjrP8Tahon1MFKoxkSmOKoLaxg9kDJjLQQQMuG8XYvjBddue4/VBYEoFaqJJJ4TPW/tZjjkKBAAOPBAg6yUUB5Wm5lsdaBowhaZyrFFNDDxfNUI7QKbjwbO8e+4ZMBm8onj4Dx2IwJjDPRk6dZ3rVJe6EJ4IZeTUgYCKcTEwmhQpo4hIc5d7sua2wpXGldb1zk/yfro7ftz/sozLEaYlQ4YMOeNO5DailcaVxpX2HZWUY1PqPFquX4lWGteSPe8J94Sf9ZIdJtkh1c31WDC/4ly6eMP9oD0vl4VkTn+/3Pnqo+RXT77OP9+4n38Zj/VQlVSYqkzPGDLhoOOHLFq57N7s77k7jIV8Ye3/Z++9muRIkjRBVSPOgibnmSAFFK9qNjPd27PSe7v3cCJ3T/d0P/REbh9O5Hbnbqe7Z6pJMRQ4kEiewSOcGtN7cI/MRBVQBRQSBVL5iQQygXB4uFuYqaupfvqpf6W9IJa3rgcfZrEb9w7ULgB0z2PMLhzNnwBmOHyU3bv335mUISBiJU2kAcChED4AMDOZHLg8H6m9vb+6OO4QAIExBTlnKz1MS0SOtM5sHB8BwAlHU3c6t8iYDDn3yDlLSiUuy4auKGIyJgdELB4+/KMZDLZP5I9KnU0HRI6cs1QUE5tl/VcxPhZKZy5xoxsai26K8f0UJ7fq2PqowWZ/GULtEjxFy1CCN1vD5nsF5kcpTe6czxURWTCxguLYkB4/naMHAIBMoGwGEK4WAGRLHtwb/VC5QLnR0Kh6ioquRZt/37EMReihPy/Jm9WgenDhaL6VsGBTTUXHoBrSE5yts+Ag6j6GSwb0yJHNAOCN7v/uyOYKi64i1XPkiu9jn3IQkYfBQlHKCPWgpE+9NSACIuO0yXQ8fji4Mbh5/JkIZd1vBfM8FFFtpbHFBJMm1ZOsE+8l++MHZJyRkWwEs+GyTtSY3OkzgnHGuS8iHoo690VElsz44eBG/Gh0p30tPTSpnuSD7DjvpQfFMO84fSqj5gUsXFiVm8tb3lWjXPHwZvbF3a+yv9z6PPu3YdccZYmdWEP6bDtK58hxgTpPXXK4ox4kEzsOIlarNXnb81mwsCq3ekdy3w9ZdF5j9tY5mlKilBIlEZExYJwDa8+JcIsIjAhc1eLpmWHG4yMAOHrGw29Vrx/EGT3L7er1fegDwBfPeA0/KRzZacX6GAAe+Bhu55hsG6ZjSf68B8ESA+Yh4neKliR67RAa74SYPOQozm1hWNBxQfmhQTWq2sk9EQjIBMhWgLX1kquXH8OFo/HGw4HNFRVdBUXHlRuhikf9mGQNAgBw4KHEYEGiP2fJxPASW7ld4NXBgskUFB0NavBDmqkCZN2HcE1B0dVQdOANd7Ys2ExR0dFYdCs6ybfXw8m6YCgiD4Ilid6eJT2BN/zevwMi57QtTKonyd7oXu/Lo38Vkaz77XCx9c7sJ7MfLP0T90U03h58Y/fsfQDYl3UvjlYalxrDdsdkOn6MSsGQo2SSS+5zyX0goLybHozu9b5gHvdFJBvFqOjm/fSwGGYdZ+ypo+ljMLckVxfXvK3DHXX/YFvdfXSn+Hr7dv6lLp4+R60hC+X3socM99vzcrG9IJfXr/jvLm96V+eW5JoXsPC8huytczQXl/nq5hZ/pygoOz5y+6OhG3gepkrRj95RIiIGAQZ+gKEqKGcM85clbHoBAAtmklP6SLhxO8TaZpkijzZ8CJe/fSwDHnroL0j0Zhiw86qeJ0N6XEC6p0kNvq+dHAJyH4OlGjY/1KSGKUzundM1XOAVonQ082OF2aElk0C5oXtiHIeDqAcQrecY7igqOlBu6i7wlsGSiVWlF/xDUT2J3lwNG9c1FN2c4m0oN9FvLCzYVFF+pCg/rvQxn7oeBMhmgNFGAdm+ovwIzok3/7qACJwtTKYTNbLK5gBETtnCJGrktCu4z31nRMQ4eyb/iqwzNjepyU3qjFXM52Hj8swHPBC1aLmxFczVlotR0c176aEaFT0yp9F0xpB5AYv8gEUqd/ngWB9ksZ2Ae3b6Fjmi934ZxcOOPlxYkRuej4Efsojz8/MP3z5Hc5GtfvwL7x8nEzcCMGA0aWtAwwukLhAB/QDDZgtnJmMYKUUvlcv4c4chnQBAEmHD8124KpjX5iAiH7/raHLkEQPmCfBm8JwcTSIiid64FOFWAwIyU0L7t0XtEVB4ECzVWev9jOK7jJ7NuFzg9YYDmyvIO4ryIwsmKQvmkE3JaGdRpUnXfApXUpzcfhXXe4GXDwsmKSg7LBtF2OJpNgEAQKI/F7Hm9cwl2wy4/9Nf7fnCgUkVuCNF+bEjk55I+zxhPQgQjQCj9YyShwz4M+lMvlFwRFbZXCdq7LQtgACctkX1d8UkD3ggLD6jo1nqaYJpbLUTq53mHg+aWzPv19daV7nHQ+6LEAio6GWHapz3z6bOkQP3Awy9AENdUDbomMMscZPnLcDKUxcPu+aoyFzqeej7AYaMn58W7Fv3UDw6cnuf/1X9sSgo7xy7gyShiTY/LprJGKIQIGt1DFfX+aXNLX710UN7N8tcAm9bOuA1hAOrNBQ9RdmRxae1z0NEAF5V/XKs2gS9+Ge7woAeaVIDTUVfojdbypbgtyrhkUv05yNqXPcx2pDgzXMU1oHN3vxK058vygIwp0qubn6UQ7YnQbYFeK1vHyvRa9egcV1hfhTT8EuGTBCQu/j+3y4QOGVAjzWogQY1sKDHDHiI8F0dYgneTIT1KwnUNiX6CwLlwIHNK9m3Nw6lFCNpA3pSQH5YQLovyqYbjW8fK9GfrUHz/QKzgxgHXzBkewRk35rqc4aM+zyUda/FPB4AAjDBfVn3WkxyzyqT2czEZJ9Pag/LXnPMaacmj4a34t3xXWTIkSOPd0d31aQYOO0eUzUhB05rUkaT4gJlrcFbns+CJ20Avg/SZ0FUL7sHGQPaaFJneaQvirfO0Tw+tPv9rj0mArIWrHNgn5dTOQUiMM9Dv1bHxto6v/TBR/JXSkGxs23uwYWj+dLhwBWKVLeA/NCCeRrv7WzPcQ7nJDFTSXkU1UOlb8FMKhHmx7U9AbkH/oJE2Q4wWpfozxkycam1d1EU9KaichJdnbViRflRQekeYo0/ydEU4LUjbF4vWH4onTfDgEn3Pd1jLvBmwpItEFEbUgNNqm9QjwUgZ09wNAV4MxxEPcTalgfBYgHZQSWT9WY6muV6UE02O1GUHRaU7SMy8URHE7w5hs0gw2RbgNdGYBLAEbwl1eeIgNwXoax5Le5xHwCxqkJvMcE8W9jcZDqpIpXPcWJAZMidtsXk0fBm5y/7/w85Z8mSdcZpZ5wm5x6zKeSIjCKlFRVcoIwarCV99J+3m7T00I8arCU99IwmrRW9foLt7Rk2u7jM1+p11uQCBGfAkQFzDmy/6477PXecZ5RmGWUzc2x+aYmthRGrcQ6clceiVqA6x/ag13VHSpFSBRXNFms1m2ym0cR2o8naZZEPkFakksSN4wmNR0PXn0xoNDPL5mdm2cIvfu3Ntdpsdjxyg/09uz0cuJ6UWGhdRjWFQDG/yJbnF/iylOhJD7zp9cYTGnWP7UGSUAwIML/IwuUVvrm6xjevXhMfbFwSV7OMUmvIfPSJdxTHbuwcOCFRMgRmLRmlQI1HbjAZuxFAGRVdXeNbG1v8ymRC40cPzd3xyD1X66ufK0qpDJQMv6fNI017kruqVSCdS9/zaaHVHFvpJDS6wYEHETb9soPRYxcJCEwgIIuwfnWGLf6Bu8FfYhp+icj6RO7C2XiDYUgnKcV3PRouM+BBgNH6t49BRMlB1HwKVxts5hfGmTij+D4A7L+CS77ASwQRuRabGyQ0uS3JX6hh810Bsv7t4xCRIzAWYLTRZvO/Q0Ieu+EXiGy/dA/ezOieIT1OaHLbo2CBg6j5GK58+xhEJjmIeoDRepPN/so5V1Tr4fgVXPJLQKVyKZhXW2lemf90+T+KSNa9ZjDHfRFkx/Fu3ksPbGEyr+G3/Jlwafb9pc3GZvt6MBMt1tdaV51xOmsH83kvPYiWGwOTqHG00ggYQ848HkTLjUsz7y38hkrFGbLK5k7borba7Bb99NDkJgMA0JqKUd8cDzvmKKyx+ta7wceDrjk63FEPogYfFKlLrH2yagpjyIKI1cIaa3z6+/rVrXeDj6IGb4165njQMYeqoHMLpp2Lozk3zxc//sT7h5V1vun7EEoPPSFAaA3q1g39+c0b5vN+zx4XioqlJbb2i994/2F+gS97PvpCgOQcRDyh0Zd/1/+mlC7iiRsDQNFqs7mtS/ydjS1xdX2TX4kiVncObBK78eGB3d3ftdsP7ptbcWwnC0ts9fp78uMr74j3L18V720/MHf+9D+K/9sasmNHfag4mkKCXN8Qlz/6RP4mqrNGrY5NKUEKgXJvxzz46nP92dGh3UUE1miy1vsfyV+8+778dHGJrS4u8VUhQLTabGZ/zz462LPb2pCOIlbnHIQqKI8nbvToIdwFgBFjyBgDtnVFXP/Df/H/170d+2AycgM4oyF5gaejFMTmIQdRx6eIt1cdK6q2cM6cd7pSQX48ccPPBZNNH6N1AH/uiZcKyCNsXAOGDACosOmOAT1CRLhIob65sGDihCZ3OIlaiLVLTzoGy4g6+hguN9ncPxCQdc5mcOFovpXQoIYJjb6R5M34ECwCRmtPOAwBEAOsbc6wxT+AQ6YwP1KUH7lpA8M3EAb0OKHxN4JkPcT6lScdU64HzgKM1lo491ti5KzTMbwtjmbVAgk5E/WN1rVgNlzigayJmmykB5OHg1udvyYHk/u2MKnXDOZaV+c+bl+b+0Vjs/1uMF9bIwCUda+VHsWr6VG8nR5OHqVH8Q73RICMcRGIsHV59sNosb4BCIiITMfFUMVqOL7f/8qkp5X8WlEx6JjD3pHeW1iVG8ub3tXugd7du1fcBADQBT1Vx5RxYLUmb88titX1K/67Vz8Mf5XFbnK8r7d7R3pP5efX7/xcHM16HVvrm/zy/CJbGfRdZ9BzHUBAVVA+GrpBkVPmeejPzbHF2Tm+0GqzWSFATEZuaB1YzwOfHLi5ebb47vvik91H9oEfYP7BR3L56jX5QVTDRhzTeDK2I+fAZinFg77rxjGNq8IcKnLIxkM3MAZ0GGGtVsO672MoJEpkyDhH5vsYttusPTvHFucX+XKWUdrv2iMp0fMDDBlDvrbBt/wAg+6xOywKyrOU0jRxkzTFOMsoGY9o2Ovao0HfdSYTN3IWLBBBrY6N2Tm2MDPL5ocD6gHAgzDEKIywVm9g0/PQ5xzE83InXgVKMXImJHizEr0ZQ3piQI/L9mNOv+zdOGIphB1ioxlgbSPE+iUB8jspS4Ayva5JDarr+17JkR8DTUUvgfFNn8LVOrU/KaWWUCCWRO+zcjcS/LkaIleYH2tWdATJdk7pLkc+cEDmZbWiq8Tjp/QBBlC1yzufdpw/azhweUHZQUqinlO6oyg/ZqUYdW1aBFLNAS5AtmvYuE7otEE9bLAZpSg/VpB3oAq1v6zrRGQcARkH0RAg6nTSycXlZY/qN5Mb+DrCkB6lEN/1yJ+vY+sDSyZDYOJsy9ypXRAgWxHWrximxwryI3RMFpTuceTHBKTdS7YJFa0IEYA5IF1txn/0PLRg0oLS/ZS8ezmlu4ryDgcRcRS1k8+ubJAoNY7fdeByg2pYZ21SlB9X2po/xXrgAkSDg2xQ2ektq9ZE8WPG3RlnVFwMs+N4FwBQJ2oMjhwRWSa5zz0RJIeT7fRg8iDvpUdOu0IEQDpWo6yb7pMlWwzzrk7USCdqVAyyjhrlfQCAYC5a8ur+jE7VJN4b39eJHttcJ4ClnLuMvEZtpXFZjfM+9/hX02sqMpcePlL36y0+E9RYfXHNu7R22b/+yX+o/+fugd7tH+uDj/6pnlhDepoKZ4iMS5Sf/K4ezi3J1dlFsbp+1X/PD1nU2dePtm/nX+0/VHeyxP34XvDfwrk4mkGI0dwCX5YSvAf3zO27t8xXSlOhCsqTmCZJQvHcPFtcXedb7VmcJwI63Lc7t2+aL8cjN6jVsNGeZfObl8Q7v/5H7xpjinc79nBxia9ee1d8fLBvH/31M/X/dY7cARE4Y8iogvKigDwrQ8OuVmf7SewmYYS1hUW2Mhq5vtF04ngIAbLZwvb8Il9pNFlLSvDu3jY3bn6t/8Y5inoDm0srfH1jk19tt9n8sK+6hztux/OMrxTllyY0tgbMja/0X//+mfrXwcB1i5xyxoD5AYZLK3x9YVGuzM/zpYf3zW3GEBcWWXNhia8yBvzwwO52jtyBKncYrzmQMeBhhPWrddb+MKXJ/czF90sCPMXwknlGZcqcBx74cxE2rtew9YHEJ0YSwYLJNOQdTapPL8PRBDUgmuiAapcUFMcB6A0AWedPWDtldxgmmzjzC85E5FG4MnDH/5LSWEHJMX05D5Uy8lu1QmQSAdCUwvEXjuYLwoFTGopeTjzMKHmYUfzAx2iVQxgCwGN0Dg4iCiDaQERBjAx3oj6C7r+VEllk4SVy1BBQMOC+j+FqiPXLjmyuoegoKroGigG8odzA1xEWzCSj+IF0/nyB2aFFM+Yg6vCErAsDHkjw5+rYeh8ZMh+CpQEd/4tzNjWlTXhZXH9EYF5pF1AiMGHBxAZcDC8QTXXgCgVFN6d0p1wPyXaA0SqHU0dzCgGijljbAkAkRo472RhB78+G9OhlrgdERAZMInDfx2gjxPolS3qioOhoKnoaVB9+xLg7ZfO8lx7qWA2Tg8lD7vOwqr4nrBxCk5tUx8XQKpuTI+uUyUf3el8kB+MHXHKfeTxwxmmyTltlC6ds7s+Gi/X11nWv4beLQX6clI7qQTHMO4jAgSFb+GTlnxd+ufqf/GYwx8SpukqeunjvfnHLWbIzC3Jl/Urw3uol/9rSundpPDS9Uc920okd5alLjCEFACgEiiBi9ajOms1ZsdCaFQvIAFXu8qMd9eDOF+m/794rbqaxPTdJrnNxNLWGYjJxI99D3xrQgADOgTMatFJUFDllvo/B/AJfDiNWUwUV/Z7r7O2Yh92OO4xqWF/N+eY71+WHl66I67uP7P1amdZu1BqsqbVV+7t2e2fb3ntaYU8SuxgA4n/6vd+JJ25U5JBZdzqROUdRq7Pm3BxbbM+wuUaTzQQBhoCArtz+O85BNJqsxThxKs85Gfax6/sYNJtuZnbOLXSP7cHOtrk3rjiYXCCXEr0gxAgBsFbHZhBgKCTIVpvNrq7xLc6RH+zZ7aNDu1cU8Fo7mlU0kzFgfoj1S22c/70HwbLPgiVFRUeD6texlUyLZaq0deHA6Upv8rl3qtXumzHgQcmDq814EMzXWfvTGjbfDTBcf5IhAwCwZMYZpTsFZAeVvtu5woHNFLgip+RR4kbfCCZbIdYuMQgWocqgTI9lyDwA5vkQbTAUNSRkBE4Jkg1FeSfE+uDMrloROEXPwNdiyDgAcgYoSj4o81j58hlyv44zkQDZZMg8Sya1oGOi/BAA4vMej58bKo5tJtHvpTS+M6bwL3UgI9CbYVT1OK8imwyZx8DzAJDVgRRjzAcHSABkQI9DrI1t9f2XERbSzxLlLiP8bKqsIMqH6HQOcJ8h85s42xQoGwFGWyHUL2soOgmNv3FgCwv63CITFwCo7J4qIN1JaHwroGgtxNplVvK3z0a5oYxyMulRuIzIPMZ44JzTyJhUVHQirHcd2NyWc6KiAP1whfY0gl3NCcmASQbcQ2A+A+Y1TmwCjxzZ1IJJK6muDF6gSK2ar6mPYSel8a0JBUsA4AR4s2eVP8p7534l7UQEzjLGPHDlpsiAHgdYG02fIwROuTJb9oPXNo1WYmUPK0daMmA+A+7XsR0IEA2OshFi/XIItcs5pDtI45sObGFA/ygHyllnobSpz2NXNZRO7VNpA/XVZgAAhJwJME4Dlf36yDkHjCESoDOlRLxTtjg7RlpRMeyZIwCA7Vv5l+15sTS3JFZnl+SaF3pRe46WdOFyVVBuLRlAAM5QSB8Dz8dASJRcoOwe6J3Ogd55eCv/8uChujvsmKPKMT0XnIuj2e3Yoy/+qv60tMLXV9b45vomv1IUlE3GNLp9U39x+6b5KqphvdliM5wDTxIaJwlNjAFtLdgsozRNKeEMeL3Bmo0mazUarA2AOBm7YXWs+bHV4wAAjAOPalhvz7K5+Xm2vLzC14yWv2q22IwjcFKC5/sYAADEEzfS+tkGmRw4o0mpgvJCQa4NKWTAwgCj2Xm2uL7JL/c67mhvxz48PrL7eXZ+BNuXCGTAvACjrRab/22NWh8Y0GNNpa5gAcXxVLxXQX6soOga0iMDegJlF53n2qlWD0/Pg2DJx3Alwsb1OrY+qmHrvRprXOcg69+VFSqhQQ1SmtzKKHlQCWufK4iIENEVlO0N6PhfyDnN2LIn0Z+rUkTfKVLiwEMEf66O7U8l8+abNPvrlCb3M0oeFJQdlKLPqqeh6DtwGhGfms5CRMaBBwxEIFA0OIiGBH9WgjfrYTAv0V/wwF/wMFgEAIhpdCOh0Y2qx/DheY/HzxUObBrT6CvnXAEMWYjRpgCvVW2AHpsDVWRxjQOPBPPn6tD+JKP4XkqTewXlB4qyIw2qX3F48x/caADzOIiQg6hzFHUBsiXBm5Hoz5WKB8GCh/6Ch8GCANkSIFsxjb7UTvULyI6Q8K1TF3mVqGwCKMp7I9f7MwDQHFv6Lx6Gy1XR4nfa5TJgftUu913BRL1B7Y9Tiu9lFD8oINsvKNuvom09Czb/PptQnc/jwIOITRWmAAAgAElEQVRyTsiGBDkjwZ+V6M976C94ECx4GCxyEI2ERl/HNLpBQKZqKPDCmQ4LZjKhwefO2QJZ+awo+5uLGnxLyJ0DjwKsbXAQkceCxQbN/CKD+H5Kk3uK8sOC8iMDamBADRFRPdt64OH03qfrwUN/Tpa2sFoP/gIHryVANsfU+0y7oqsgP0bCJ7YzflUwuUmy43iHcSailcZl75L/gY7V0GQqZoJLJphHRG6yPbgV74/v2/xU6o8ckNGkJkPbu/m39I+Djj7cuBZ8sHkt+LA9xxebM2LeD1kYNbDJGHBAAGfBaUWFyl3W2dePhj1zvHO3+PrRnfzG8a5+OB6YjjWk6TlE338I52KAhgPXu33TfJnnlL37gfxkYYmvIAJmGaWTiRt1jt1hrc6angc+IIBWoIwmTQSOCMgaMNaCAQSUAjwhwZOylJHRujr2BTWdEAGFAOF56PshhmGE9dYMmysUFdaUaaWioKzfd53OkdvPUkoAAKjsKE5YEoC/I9hcOb92aYXn8cSNJmM2YgxZe4bNzc7xxfkFvtzvuuPOkT3odd3xGyL2jghMeBAsRNC4jqy8ZU1FX1F+XFB2kGO6k1O2V0C6V1B2oEH1NaiBI1dEWFcE4ADIUTWEcJquwelHIABDQB5BI+TIgwBrGwHWLjWw/XEDZ38VYLTJQdQ4flf015FTDpwqKDtMaHw7p+SRBftSWv8REQmUnYkb/B0ZEwHVNj0KlgTIJkdxUnF6GsXgHgPuVZWXGxGpawFFt1OK13OKtzNKthXkRwqKo2l0JMKGK8fopOEGAgBG2BACZI2DqAmUbQley0N/0YNwycdgxYdw1cNw2cdg2YErwAFoKro5pDvnPQ5VpGIaxS1XRPnHE38/e6wA2SodcBTwlL71WCqiCwbc5yDqEr02VIUTdDqHHvu9XJ6nv599/zw5YA6syijZ1qCGAUUbETWuh1Db9DFcYcQDAGBnI5se+HPlwy9crkPrg8SNvvEgWM4hfZRjsqOoONZQ9CyYpIYNRydRJqJy2E7Hr4bNiIOsCyydSAn+nIf+gl9uzFZ9DFc9DBY9CJYQGQcAZp2JBci/lt2yXq8H69sAIiKOYpjQ6AY4cgGGayHVL3OQTQGySXiiZ34S2WTAZNUHfDmi5rsBTbZSiu5kFD/MIdkuMD+cNghw4FTEGrZMzT5uExCR1bA5tQktCV5LVvPBg3C5nBPBsofhMgdeY44JDWpQULaHT1l7zwtblkrcN2DigGqbETWu+Riu+MAkIybhsfXAfQ+4L8Gb8TFcrVHr/YRG33gQLOWQ7uSY7GgqOhqKniWbPW09VLaF1bAZidLJbAnw2h54cx4GC1WgYs3HcMXHYLHcfCMDAKZdfixANsui0tdrPdjcpHkvO+S+jMLF2oYIZR05E6Imm0xyjwvmxfvj+/HO6E56FG/b4jRzV9k4i4jx7r385vGuejge2G4ytsOlde/y0rq81GiL2bDOGkKWLZytIZ1M3Dge2f7hI/XgaKe4v32n+OrRrfyrIqfUWrL0AkG9J+FcHM0ip2zQtx1rSI+Grjc3z5cWl9hqs8VmajXWuP6e/NjzwY9jGochRrU6NmsN1qwqznkQYBiGWHMObDyhUTyh0WTixogAjSa2a3VscPFi1+os2DShZDhw/UHfdXtde3Trhv786y/1Z0Ve8iatBaM1qcmYRsOB6wGUOwbnyCICEwIlL3cF3ynoKXLKDvftDkNgnAPfuiKuz86yBc5BWAc2LygrtaneXC0xVhrJRQYi8iBYjNBct6BjSyauUoKZJZNUhrIonSgyBE5XTudJ4QQCE7xKlXMQDYGiLsBrCZStaje+VHIenxyN0VAMFOVHKU3upDS5U1C278q00EuBA1doUP2M4ntD1/1XAnINnPmkho33zjhW3waWvdBFPcT65VJvsXHNkBo7sIkFk7ppyqhMG+nqoVIW9yCr0mLcr9KkAUPmTyMHpRMu6hxEjYEIHSj1lOt4IZQPDGRVmqpK3z/2U1YFUhwB5el7p8cJlK2gaifKgHn4hOtEYIKjbHgQLEXYvG5QjyrpKkvTQgYgU80pQ1T9BKpe7uSnAzIMmT2vYgsicgyZtmTiiRt+icREi83/rg3zv/PQn2fAfPjuXMXyXgWGrH5FkGwZ0B9aMmMLJrFgMgeuIHLVvYElIFel43k1fvyEJgHcR2A+Rx6cmQP1ag5EVTTttS82fFtA4LQGNcwoeTRy/X9HYKKB7U/rOPPp93wXU5pQGGC0zkHUQqxfNqDGlmxlO21xhlqhAaquVKXcm8DSafWmvOySPsFPbELphJW/Tz/zJdw9EThlSI8mbvB3AMA2LvyOMx4KkK0qZf7tbA8y4L5AaEZQf0egN2NBjw3pSWkLbTpdD66kYTkCIgTkDJFDZU+qe5+uiYAhDzjwM+tB1jnwCJ4mifeawWpbqEkxgL3RPZPpZHin93eyzpAjVwm2Mz1RQzUphjpWQ6vtd4JVRESMo9WKiuM9tV1kLt29V3wT1VnLC1ggJfqMl5sM56qIZkF5MrajZGKH477pqoJyZ8mdt5MJcA6OJjJEwcEWOWVd5Ypu1x01m3ZHvyc/FgJlGGFtY4tfGQ5cfzR0fc6ZmJ3nS80mtaMaa9QzyuoN1my2cMZaMv2+64yGrh9PaGQtGd9HP4ywFtWwXquzeqkqVXIYnANXCrKX/EouQPzjb31fCJRCkOd7GPg+BJ4HgdGg8ozSwcB1Bz3X6fdcZ/uhvfPVF/qzk+jl6TmdtWCFAGEtWVNFPKUHnh9gGEZYC0Is3IkgPDg/wPzwwO5aC25xia1sXRLXmi1sEwBpTVoVlCt1fpyHnxgIAMCRhxx4+ITCHAIoH8YG9NiAHpcOp01LPpoteUcABIBYcWp8AbJKfYimANlERAbf4j0+9iFl8MoRgFWUHyU0vpnQ+FZG8f2CspcqneHIKgBQHvrbCMwj5wxnouZTsFoafB6cdGV7vBoZp0b/SRqMUyfTkVMEtiAAwsqpQ2A+QyZPK8q/H4ZwfJ7PlGkEs7q/iFeO7tTI44mxL/mCiGd4g8BKvhiWx3CQjRBqWwJLRxOe8B0joOAgGx4EyzVsvAus7MbiwCqqItiV8sH09/K9M3+nsqJUubKrT8qRp9UD+4Ulphw5g4hJQuNvFBXHCEwGPFxDQC7BazOCsGIcs+n4IaAHwLwQRC3E2ub0XFXU1RG5s/JcloBsybdjEpF5ZXFXGZV52rq4wKtBVck/ESj3xtT/q3M2Z4z5Ada2OImIAfOpjCDid20C9zmEK0/Soaw2SprIVnOazLSCvOLkTnWFf3BOWDIpvARHs4qkGYZsHNPoq8LmR4xzP6BoK8CIBECbEffhTGSzUhPxGDBPoGyEAJdO75lceVqnHZzeNwFQpaUsy7Xw9q0Hp+20RfYYAB796PPYUlQfAPaq12uDF3I0hUDh+yBXVvnGpSvi3WaTtSu5omBxia80mqy9v2se7u3a7dHQ9UdD6jMEXFmljaUVtv7rf/L+o8op9wMMpQQvTSj+y7+p//fRQ3M3SynpHNmDe3fMNwgIv/qN9/v3P6BfWFc6teOxG45HNBj0XHc8coOVNb65us63PvhI/mp1nV+amWUJImB7js0fH9r9fs910oTizpHdX1rma0lM4+UVtvHPf/D/F2vJAACkCcWjIfUHfdfpduxRmtAkTSkeDV3fWrBhxGpX3hHvMwbs+Mjt9zruaNB33eHQ9YwmPR65gRAo19b51soq34wTGh/s2UfDvusa87OoAEYGPBClIY1OiO1A5kz6vIqOoagcFo8BCyrj8QOGg6yCoqup6I2o9+eh6/5rTKOvDeifrOjFgk1zSncRgAEBapd3atj6oI7tD6cFGvAchr28byZZGbEQU0ezGiP+KqNU0xR2hPWrTZz9TYj1yxXZvyLjlxG3SkLl7EtU73MojxUMmOdDuMJBNsro3xMjmlKAaCJGU47wejV/LFH5E8ropX385abvTY81BGRjGt2Y0OBvBWUHHPnQ0ncjAc+LKmWaAgCMqfcZOasaOPNpHdufBhhtCJBNDiL8ofNMb7mKWPoIKAiYg5ONRtXl6pnWxQVeJaYUHgAg5pinQQ3r2Pqwhu0PBYhG1TnoOaJryBBAIHBEKNuZVv+Gr9omfBsE5CyYhIBo5Lp/dmCzBrZ/0cCZT30MV8p09TP1O59SqkSZNJzeN1B1zwxOfr4e936BZ8cLOZpcgPB9DNY3xOXf/bP/P6+s8U2tQRERSYmeVqR2tuHeo4f27mjo+uOR67faOAMAuLzC17cui2tSluLu45EbfvZn9S+f/1X9cTSkfppRcnzs9u/fMTcuXRHv/vI3/u+jGta1Jj2ZuOHBnn20v2MfPrhvbmlNxdZlcf2Xv/Z+t3mZX1tb55e0BtVoYmt+kS/v7ZqH2w/sndvf6C+OD93BsO96SUyT5VW+8d6H8lPOSyPQ67rO7iN7/+F9cyvPKZuM7ShNKEYktA5sVMP6lWvy/fVNcXln29y7e8t8/fCBuZ3nlA1S1wWA/swsR+mht7LGN+7cMl8f7NlHw4HrTqOibzmQAQsYsGcxLM8NArKaim4Kk7sj1/1z1+3/XxrUoEzN/zSwZDIA2OUo+srlnQzj+wuMdAC1LYHyiRInPwA2rR6F0gF7bcCABRK82Tq2P1nmW/9HG+d/91w+9LP925k3UYiK4+ZjuPqE//kcKR2Cjtv/P8mV2q+WbAYA58KPrqJEqUDxWWJHNwuWHSArizMYco8DPLOjeeqkX+BNRZXtOGDIOhrUMHHj2wu49r95LFwuo4/TDdkzA0t7gOJ1nxdVZDMBgESg/HNiR18rttzhTIQMmMewpEc94+nOaH9e4G3CCzma1oJRBeV7u3b73/+k/luZ/gZLBMQ5cGvAPNo2d0dD188zSq0Dd3zk9r/4m/7Tg3umLSRKIUAgAityyh5t23ujIfXznDJyRAuLvHf/rr45HLr+o4fmrvTQd45snlM2HtFgNHT9fs8dZxmlO9vmrnNk799jN1ttNmst2DSlOB670Wjo+v2+64xHNNSG1P6eeYgIGEaloDpjJXchSSgeDVyv33OdJHYTIiLG0BUF5Xdu6q8YApY91MkM+q7X7bjDfs8dF1WrJmSIMzOMCQFCSPSSxE329+zDQd91jaE3KKJJZeAYkp0x9f/igT8vIZhnyPzT3eVjmKZGzvcqyrSiMqDHBWV7OSQ7iRvfSmh8K6bx19VO+oUEiH/0tYHTmlQ/g/jBwB39N4NqEGC06WNtoyTlB0scRVRF955KPj9J/7zA0E3Tr4bUUEPRrypX0x/+n8+GUvAZWVVo8tKAj0+gF5xMCFMqxjmc7IkoGwSYOKHJbeb2/2uG8YMQ65dDrG15GKx4ECww4MGTitnO43ufgoio4kTnmlRfQ96duMHfM4ofaFJdB/a1llR7W0BAzpAa5kA0hO4frbNpiLXLQWkTVjwIFgXK5g85nudjE0obbkCPNKh+qadqEnoBaaMfQmmrTZzQ6JuOQ57g+HaI9SsBRhs+hisS/PlqM/adDfU5rwc3rRHQVHQVFN2JG36RUbL9svSWXwdgSVJgYcRqQcRq0sNAeOgxhhzZ0ylpT0Ia2/F4YLp56s7lOfJCjqbRZBhDu7tj7h8f2T3GTtIDZYqUgLQmpTUoVxbVOClxf9B33WlRDVaFNUTgtCKlDZxUmA/6rjseu+H2A3uH89MiHKKSQ+ksWWvBWgt2+4G5s7drtzkHzjnwisvpnAVnHVhryRgDxhqynocPjw/dPrKSDDc9r3NgnQVrLFlbpbqdI8cY5rdv6i+2H5jbU3KVtWCsIVN9vgGoWN4cGBcghQSZJDTZ2zEPk5gm9g2JaE7lfFypOvVoRL1/r0PrfYY8RJAMgf9kFXsEZCzYpKD8YES9z8bU+yx24xsJjb6Zdjx5Ve0dHTmNyIaWTKxJ9cfQ/0uDzfyijjOfNlj742kkgwHD73M0zwPlOJnEgBpqUj1FRa+KvF7gJaKcA2hSmtzOKd0JcPhFDZvv1bH9UZPN/pohkwK8Nn/2iM6PBTmwuQE9SmlyL6XxN2MqHU0FedeBexOULt54EJFDxJKfTiaOYfhVDVvvNVj70zqb+aSB+EmpFTzt2vMSrwXIObBZuflUfQVFx4KJq3T0S/pMpy04E9P4RkbJgwCjzRq23qtj+5Mmm/11DZlAgJmqUOhlghzYTIMaJTS5k9LomwkN/p5T/EBD0XNg305HEwEZRx41eGtmXixFDdYqq82ZxxhwfI5IUO/wpAXlq3c0AU7kfVT1+kFoTVPi6w/CGDLw7B0tCnjG1FhVlPPMk626xwye0E0gCDFsz7C5K9dk+9NfytnZObbg+Rg8emju9jr2KM8pNQb0i2iAvgKQA6cyiu8NHMock4cxjr6W4M0IlC0OZaUzBx4y5P6Um4jTIoYy7VPyy/CEtD2d5ERADojclGN3WqHuCkc2L50mPTGkh2VXlmw/pfGtlCZ3S705NXiVgzNFJV5sGfKBBRMjcc+CTZXLj1KM7/sQLAqQbYGyWVVERmV1KA9PK7IrzhVOeXnlmYmm8lAlx7WsQq2KXsjmZZW/SS2ZxIAeKSh6BWW7Exp+WUC2b8GcW1eHCzwdVTQ9R8QiL38nCybRruglMLntob/oYbBwWhFbVsdO10tVlV/xXoFXRVLfXiOmKhpTjqZNEmxmwWQWTGzJJBpUX1MpYZNDsptT+khB0XFgs6oLywV+AlQbX8eQjSzYFAmZI6eUK7o5xA99jFYrm9Ca2gSOPGIgwmkHnzM24Qwn8axNAFeqFJQ2gcApCzav7EJqwSSW9ESD6hWUH8U0/Cqn5JEhNYSX6WjSCQ8/Q8QcCJDKmEyiXd5JYPSNh8GCRH9+Wh3PsGznWq2HUzWLx+/dUSnzNF0PulwPVpWFf1N7aDMLJjZkYg1qoEn1C0p2c0h3c0q3FaheWZz69qwHxpFJiV5YY413PgovLazJrfacWGrPy8UgxJoXspBzFFhFPJ71vA9u5J/3j/U+AHTO4zovhHxfEFHEaitrfHPzEn9n85K4NjfPFzrH9uDWDf358bHbf1Gh+VeBKqpZlALT2eG4lNGpVcLgSz6Gyx6Gyx748wJkW4JscZB1jqJRCelGeGo0xRkSN1RGUp88OMEWldj76NQ4ZAc5JDs5ZfuKsgNFRbeS/UgcvHhBx3mDwBkLaHNKthXlxwmMvillevwFH6NS1w2CZR/DZQn+ggf+PAMecuTh2daRAKVg6bToxZUPE1VW75tk2nN+GrVUkB8VlB0qyg8LyI80FT0LemLAxD8lb/UClbwIsjijZLug/CiG8Q2Bsll+9+Fqqe0XrnoULPsYLJW6oqLGSiUHvyyQKh3PSqbJTrulWKqch/K7HxlQA0WqpyHvFJQfFJAdaCp6ClTf0bTzVPnwrWSgXknU/+eM8vuzLodsXzs1SGF8e1jahLmp9qkP4bKHwbJHwWIpLi4ihjw8kSyCstMYADA43XAaB6QdmNSCTe2pTegrKLqKio6i7KCg7LBqpnFsSMcWzGRanPmT3H+5HsaO4kJRdhjD8EuBXqu673ItYLjqU7DkYbAsQDY48tpU8q66d1lKFD222dKVhF5cBSOq50bRVeV62FeUHSqoGmJQuRYcuOl6sG/TeuAceRCx+uySXP3on2p/+Pi3tf+p0RZzjTaf4wIFY1XV/3OW6CMCu/V5+ufzus4LR/MFYS1ZpahIE4rHI+oTWbf7yD7YfWQe9Lv22Nk3UzezWowTAJggIkNCXoB3IMGf8yid99BfEOjPCBJNAbLBgdc4iogBDxnw4GR3elKhXEY1qdyVmkorTVdabBMLZmJAjzSpkYLiuOygkx9rKnqGXu8Wemd28gkAJIisj4SiAHlQQH7oUdWtgvwFif6sAG+GAwtKojzzsJQGmkaCEYAskTuJZJ7RKI0tmESTGmhQA0VFV5/27x0YOt/qewLSFkySU7ozdN0/GdCj8zz/y8bY9f9SULZvyMSVLt9LRSV3M21R12XIpaaiU2C274G/6FGwJNGf98hfKDdmPGJUaSEi9xkTISL3iGzhnMmJnCm/A5s5MumZSP9IT2kS5RrpVLJik/PkK1dKcsaCiWM3utGF/f86lW76NqrGCd8oyI/Pkx/8PVfnLOlJgdnhhAZfMMdDgU9uU6uo6KYU36+ifz8JhemMTUgBIEXEARLjBWT1grIjD4NdD/0Fj4IFid6sJH9uqgk5lQxDxKmcD1atau2plmxpEwyUaXoDaqRJ9as50dFUdKuN+ytbs47cNHsZA0CHI/cV5Z0c0z0PgqXKwZ6X5C+I001XwID5pT0so7unqhNOE5CxVGpuGtCxBRNPN1/T9VDyUUt9zld17z8VvACjhVVvc/O6/+Gld4OPN68FH1pD2hjSReYSrahwtpIWfA7LMOrZji7o3Ljd+ArqKN4qeB56YYRRGGItjLAuJcokoThNXZxnkOYZZa+iWOW8UYoDMg8fEwlm/plesyepYDjjWJadKB7fTJ1opgFN08NTp1O7k/SgzaY8zOoB/sbgVH+Syap/u89Kx3IavfSmRVWnMjZVY5wSZ7rfnFIMpoa2HKMyGjylHZRp1fMdJ4ZMIDBZdrgJlgXI5nme/2VDg+opyo8t6NiBy89LvP1ZUa6Zk/USsFMd0qBaK2I6B5Bxj0m/wYSMnC4mThVjevz7PxGirzRFNYEt7JSrXGqxnnsUmyHjCMwPMFrzIVx72nFlIVLp3JSRtpfLEUZELEXreU2WrQfn8CnNHRy4oqB0r4DsgErt0ley+a961ouz84HjqR7tqXTRiazV9CfA4zaB6FTmq5oXTlfzoqgieIUrU8uvTWYDkbHKifZPneqpTUSJMO1hDlN5tynlanrv7vF7n943TbU3T+69Wg9v1HPjx2B+Ra598tv6f37/N9HvN68FH61e8t/ZvV/c3L1X3Bz3TXcyND2tSDkH9nlczeM99fDBN/nn/WN9Lm2MLyKaL4gzfM/hq76Wl4nKWX5mHuwPoayP4wIZlyKM5nlYm3NGFa4oUqd14oxJydo30lCciWac23i9ClSG2kDJTd5/xZfzxmHK36xeT4wslWktZIx5ofAbK9wP2zoZ7+l89FqMd+WcpwBwp3q9FjgrqwMAL7VZw3mhyhJNnxdvfbTt26iaJjyx1uECPw5ewKKFNbm1ftV/zw9ZNBma3v6D4vbNv6Z/HHb14XhgemVUs1QDetbzZomdJBN7btHwC0fzAq8GiIx7foMF0Uxt48ofahvv/EGNeg+KzsEXatC9q0b9bXjKw/kCF3hrgIwhFwH3w1m/NX9V1lsbQGThwrG/wAUu8AMQAmW9xWfqLT477JjD/rHZv/NF9tndL9PPssRNVOHyysl8Ll6q0aSNPj9JxgtH8wKvBogMhQx5EM0GS+u/al77+H/Pjvf+Bs4Zp4pYJ+NzCdlf4MlAxjjjMkDOPcCqE1HVKc5ZU5A1ORARIDIsI88eIHKoRNMRkQEiI2tyZ0xBZA04Z5BxiUKGyLisjkPAsoqUyGly1jhjMjI6Q849JmQIyEo7VDVVJyIiazJndT5tNsuEDKpj+cnnMyYQEMlZTc5qZ3TmjM6ZkAFy4SMyDtO2pohIzpnqnBYZ98prnEafkZ3cH5ErJc8QwTnjjErJOYNC+IwLvzqWnVyvtWp6rYCl3mg5rkx8d7xOjrVAREzKgPvRjKy11v32wrtec+6KzbO+COs75KwC58z0/t4GCs4FLnCB8wMXKKI6b4Q11ti7b28+upPf2L2X39x/oG5r/frQJi4czQtc4GcILoOG155/x6u1N1DIkAkZACJHZFyNew+KUfcOETkmRCD8aE7UWivcC1pTHT7GZYhceGrUvVeMe/dtnnRNng5E1FgOZpc/FGF9AQAAufBFUJtj0m+YPO7YLOnk/aNv8sHhDVlrrQVzyx9xP5o5cUg598iaohgc3yyGndvOqBSRJf7MwqVgZvlDJr0aACKTXk0E0Rwg4yZPOiYZHeT9oxuIeMtvLWx4rfl3uOc3kJdOLzLkpsgGati9Y1U+lvXWuoway+RK55dJL2LCqxE5Q9YUUMbcpS3SQd47+FJn8ZHfmr/mNecuMy5DJmQIjAlExnUy2itG3btOq4QJEXIvbIlac1WEtTkgckREpfMrQx0Pd9Soe8+qfEzOau6Hbb+9eN1vz1/zm/NXRdRYImtyJr2ayeKOyZKOyeJjk02OoUzBX+ACF7jACZABZwyZUaSyxE20ouK5Kn9+Alw4mhe4wM8MiAxlvdUM2ovvBnOrnzDpNZj0a8i4RM697HjnM2dNTs5qLv26bMxshbPLH4qoseycKYCIuBc2mfTr6dH2nwFKIqrTRSKixlK4uPEbvzl3pXRUvchrzV6WYWOxGHXvq3HvnjOmKEbduyJqLIUL67+StfYastLJZMKrO6NTRMZtnvZNjj1nTS7rM5vRyuXfCz+cISIrgmjWa85dQc49Nerdz/uHX1tVjItx956st9ajxY1/4EFtjkuvhlXkViejfQBAk8XH4dzqJ3574RoZlTmjUh7U5kVYm3fW5E4VYwBkTHo1HQ93TZ50rComXnPucm1p67dM+nUm/Tpy7iHjXjE4/oacs7ZI+0z6dVlrrASzyx96zbnLZI1yziruBU3uha28d/AlIHKTjg+cVrGI6kvh3PLHwezKRyKsLzAvaAAAMj9sq1Hvvhr37gM5a4t0ABeO5gUucIHHUYoXEYAxYFTuMlt2IXytPM0LR/MCF/gZgQkZiLDWEGFjkUm/Qc6avH/4lcniYya9GhNeDRBZOL/6qdVF7IqsLHJDQKuLSd4/uqHj4S73oxnuh20AAH9m8T0AAKeKSXWOyBmV5IPjb5wukjBd+dhrzl3W8WhPJ6M9WyQ9Imd0PNxN9u//d+4FrSpKWRdRY5kJLwIA9Nrz13Ay9IisLs8rQ5MnnWJwdBO5DIK5lY+5H86YpDwvAqCstVa5H8XlVqcAACAASURBVM2gEL5OhrtpMt4HIGKidAxl2Fj06jMbPIjmgJzTWXys4+Gu3164zoNoxuZpvxh0bqGQUTCzcL2MnNbmXZRPuBe0ABkrRt27OhntMyEDJr0aIBN+e/6qM3rNTscLEMkalQ+ObhSD41vleEUzgMi8xswmAkLeP/haT4Y7mfDrzlrlNWa3RBDNZ739z7Pu/uc2T3u2SAcmT3tVlPUCF7jABU5gDanJ0PZHfdMREuX8irfR2dePniZD9qpw4Whe4AI/IzAuAx7U5mVUX2KeXyeyOu8ffp0ebf+J++EM96N2tLz1u9ry5d/bIunnvcOvqv+KTueTvLv39+Ro+88iqM+LsL4QLW78Q7S4+Q9kTaHj4Q6Xfo0JGTpdxFln929q3HvgVD62Kh+ZPOnZPOmaIu0DOavj0a5OxvvT1mjcD2e81vw7XmNmi/th228tvEPOKVtkQ145mmrce5AcPPgfBEDOFImstdaqtH0fEEBGzVXuhzPIha+T0V78/7P3Zs1yHFmamB/fYs/IPfNuuNhBcCmyqqaquq1a3aOWZKOWjdm86EVP+m8yPc+MSTIbk0mt7p5Rm7qWLlZxAwlix93y5h4Zq696iEwQAC8WkmguVfhoCcCMkZ4eHpkRx8853/cd3vp7q2RBHL/pNHvXgq0Lv+Rx94rVqtBVsVRFNi7npzeI47V4s3dFlfm0nJ18TFyvxaPWOUy5T92ga6QsCHdjhAFXy8mt9PDW32HGA+p4Tbe78+Ng68IvEUJQzo4/skoWCBAYo6pyNvpkdf/GfyJu2KVe0PW6O+/5/b2fWWOknRy8L/PVyFprjKxSq2Wp/UaSjx78Oj34/G9rlrK1yCJjrfleZShe4zVe47uHklY+Fmjy3jY79+Am+eiruAB9G3gdaL7Ga/wJAQhhhLtxHfhEQ+r5Ha+382NMmIsZ84Fyn3nRoCbXqMJaa5DRUssqsVoLo0Ruta6MErmRVWqtNUCpixBATcZRJbJGY+5GbmtwnbpBlzc6FzB3GzZdHsrV4qER1QoACA3jPgube5gw11qjMWU+C+Id6oXdmphjDbLGGCUyo1SFrDXUC7ted+c9hBBiYWsPCOFaiFTlq2Mg1KVu0KF+2Gd+Y9u2BoXVWlqtSky5T7ygC4Q6Rolszey29XmK3GhdImPU5hxBMc9aowFjhrkbUS/oUj/qsyDe9TpbP0LIWsCEYcp9FjS2EULIKlkgY5S1RhspUgQARlaZ0UpQNyiMrFJrtKpL7pgjhGBNdlLWGG2N1chabe2aAPSa/PMar/Eaz0GRmfTgdvWJ44Lb2+H7vR12bv+a+0620sv9q+4omatJVdhcSiuMsspYZOx34FT4OtB8jdf4EwJgwjeBEwuiYR3ocd9p9C7XjGnA1mhp14EkslpZY60WZWKVKo1W1VpHXK3/bQFjaq0xRorMKFFYYyTl3tDr7f7YaiWw48YAgEujpUgXD61WJQJMedQ+H2xd/Aviem2rVQWACeZujAl1tKgSVWUzq43UolpZrQprjaZeNPCH5/+8lsdyY10Vc6NEJrPkhEWtPeIGHepFAxbGO5g7EfUbQ6uVAABsrTXWaGGqYgGE8lrZUCurVYm0FnXAp4XVqrJGC2StQZhQzJyIuEZTPxryqHkOY8JZ2NxDCFA9rlZWa7Eh+FhjlJHVyhotra6Fy6012molELIGYUwBY4rgK7nCvcZrvMZrPIEi06sHN8uPlbSy0aLd/g4/X+Ymowyxh7eqGw8+rz5JZmpcZGYlbL2NRd9B/+Z3EmgCAGDuRsTzu8T1m8RxY2BOCOsbsDVGIWO0FtXKiDLRZT7VeTo2ShbWGPP4OAgTiglxeLN7ibe6l42oUl3mM5VnY5WvTo0UL7RDY2G8zeLWPuZuBBhTU5VLsZjclunZEjsAANjxYuoFXex6TcLdGDPuI4wZYEzWDyxlRJUYUSY6z6aqyMb1A8w8V8+KRc0dFsU7CGOKLEKmKhYyTY6RNZr6UZ94QQdzJ8KMhwjwF4GB1kLlq1OZLg9MVSZWq8celDzkre4lHrcv6LKY6zKfqzw91flqZJQSL1ofHrf3WaO1X8vWYKLydCwX09uqyGZfWhuyFmH3wx71wwF23AZmPFjL3VirtTKySr3hXl7LwWAKgF+qnwQwIcRxY+y4MeFujB23AZS5mBCOMGFQy9OgTcBgRLUyVblSRXqq8myMrNFPfH8wxggwJa7X4s3uJRpEQ10Vc1MWc5WtRipfjV50vYAQxhvtfRa39hHU31+5Wh7IxfS2FuUrtYR8FdgEPGspoMKIKpHZ8kgks7ubY4yWRZ25rAMuzHi4kdl5lAm0dbSJEEJrCSFrrdGoFqUGq5VQxWqsimwCmFBrjRLJ7K4W5RJTHrKg0aJe0MWMBdYYqdYlZOY3FHLc2FqtEILaBtEYXWf3AKwShcqSY6NEhjCmuioWMl081KJcElm167nLwkiZ6yIbi+X0jpFVhhBC1mhptMwBgLCwtUccN0ZrOSNbm49YZK211hq0ySZaa6xWwm7WS4pM5quTajm5hUztMGOMKq0SuVH1egEh3BqtEYBci1RvFMYNqm/y8JhblkUb1xMAQBjTxxyiXuMlAJRyoISTKBqQON6xQuRqOrujsy/fn144Vn0NCDDq0mZzl8TxjprN7qnZ/P4P1UDi6wBz7gFjHg6DLgmDvimKuZotHpiy/JLQPBBMEMaUNpu7tNnc1avVqZrN7xvx4mfvtw3MuY99r4ldL8ae2wSHB/Uz2xo1nd5Rk+mdH1IlgTnYafXo1tY5fqnZo0M/xI3hHr/oethvdtlgsMcvZIleVqXNlbTCaKv/8t82X6ipOR3Jw4M71afLqZq8inl+64Hm5odMPL/r9rbfcdr9N1izc5GF8S7m3AfKPCtrPTyZzO/LZH6vmhx/WJwe/t5mWgDG6NHDHwAwoQ52vaa/d+mv4mvv/o9ytTiopqNPitHh+3YkS1S7WjwXvNW5GF64/jes0TqPKffEcnonufnBv0cIfSnQrF20MKZBOHB7W+84rf411uxcpEFjCzMeACHcKFlYKXOZzO6J5fxeNT76wJwelqY0apNYefZcupeDvcv/GjMWIItsNR/ftId3/9FqVbn9nfec3tY7rNHaZ1G8W8u2EGZklRpRJsXJw99mD27/vVhMbxtrV9YYiQl1aRANwvPX/k106a1/W81OPxPz08+Kk4e/LUSZoNql4rlwOoM3w4vX/4Z4QRcT5hanB++vbn747xFCT9zIAQAw5Q4w5jvtwXVv69zPWdy+wMLGFjAeIISQlVUqV3UJVSymd1S6PAR4cXYHAAAo5TRsbPNmHTSzuHOBeH6HOF4TM+4DIQ5CCBklC1OVS7laPJTL2b1idPg7I6qVUaoEqGUa1xeTYMpc1mjvR5ff/nf+9v4vqtnpZ9Xs9NPi+MFvdJlNX7Q+mFDHHez8OLxw/W8wZR5Q5mUPbv1dUuYzVHv8fq9gjZb15i2bqiIdW61lPnrwq3x0/58eHWONQdZq4nhN6oUDTHmA6gDpZW7AAADEyGpVTo8/KKfHH1lkjTVGG1ElRoqcemGfR+19wr2mUapUZToux4fvG60qt92/zqL2PmDqPDZrC4AAAKgs0uP89MGvZbp4WIeEulpnEpUR5VKX2VQX6VgVq9NievxhdnTnv+gymyBUR5TIGE1cvxVgwtaB5ovWSxlZrdR6XMnduBgf/C49uv2fkal16urA1Og1mWlAvWhQf9z6v+d/Qq3biayFjWbpS268XqMGMOpi14v5zvZ77uVLf6WT5Dj/6JP/DT11f3q5wQCAEIY9r8n3z/3CvXTxL4tPPv1POkmOUe2S9UcPwAA4CCMSBj2+s/0u39v9iTwd3zTVZyl6ytEIAABRyoBRl+9sv+tevfLfiAcPf2vyYo5e4tn7bQO7boN1O5dor3uFdbuXSDPeAUodq7XMP/joP6rp7B5C6DuxKP068EPcuPCm996P/jz468Eev8Bd7Ha32G67z7Z2LznXq9LmWllltNXWImNf4o6EEEIf/Tr7h7/7D/P/BSH0www0iee3qR8Nnc7gDXew82Medy4RL2hj7sa1MDSmFhOOOQ+BEEb9sFsLNQMR88nnMl0eoSccY+osBHG8mDVa+5jxEAjluiqX1Wz06fPmApgQwJhGl9/ednvb77KouWu1ErrMpkAIP3v+QZcG0cDtDN9yBzs/YY32PnH9NuZOBKTOqgGh3K7lT4gf9TGhDgLAYjm9o1bJEXpOAEIcr8kaNRkCYSBAMDOiXFmtSt7uXeNx+zzx/G6dJaQMCGGYUtc6XlMs5/eA1ELZqM6UrH3FAer1aZ5DgABzJ1R5NqnGxx8CQPKsHVydncS0+dbP9tzB7k8wZb5VqiTMCRHG7Ilj6+wyo43mntPsXHQHe//K29r7GfEeXT+MjFYGgNDQGiCEAyGcuH6bBtEQvQRLDgATGjS23N7Wj2gY77Aw3saMB0CpC5gwRAgFAIyZE1jHi7HjxTRoDK21xiiRqTQ5UfnqFCG0FrKtvzuAMSWe32aN9nmEMcHcCVWaHJenh+8DwJm9cptsOvX8kMWdC97W3s+t1pVVssSMB7AWFv++wWpV6SqfqyI91WU2qdmJ1mLGw80xRqvSKlms/YXXb3x+nLkOkhhgQhHUmWIgzMPMCR8FYoQ5xPGaxPFatRU8ppjWx2DuREgCQYAJ+sLCEwAwwYRyAMIAAIBQhikPMHMiW/czupgy39bZRVD5aqSCbKKrfGaNlphSx67PzRqjDJJ1Kftl18sYqUWxVEV6qspsQtyga60xhPHAmtpL2RotjJIFevlg/LHxrTFaFUbJAgEAZk7IwnjX7Wy97cSddN2OkK+rOT+YB+C3CcCYACUODoIu7XYuAcEMOAu+7njr7LaxUpa2qlZWqeqr+ET/8FEH28C5T6KwT7vtS6YqV3Uv9pmwCCFrlapsVa2sVOXabvN7B2utsdpIq7SwRisEQEgjGgLnAQ6D7g+tnYUQoF6AQy8kDa2RSmZqQghQTIFiDMTzIfo64wYN0iQMzoyBvg6+9UCTNdr7/s6Fv3B7W+/wVu8KEOqqbHUik8VDI0VutSwxcwLMeUiDxhZv968R12/TsLFdnDz8Tfbg1t9vgiNrjAFCKiTKROXpWCaLB8CYzxrt8yya3MaU+7BOYZ01FyDEwYwH1PO7NIiGtSbf7J5YzO6aqkrOeg9vdi76Oxf+wukO33JavasIAagsOZbL2b3aQaQuNWLuhDSIt93u1tvE8Zo0ineL4/v/tJ5/9qL0PBDMgDKXxZ3zAWWu1Vpg5oTIWiSXs7vV5ORjBJgAxoS4fpu4fttUxVJXZbJ2MtHIWmOVqowoE5klx2Ixu4MpdZ1W72o1Pv4Q1gEgAJin51PbL3MPMx4QL+ixoLGlq2IplrO7Ipnft1I8GSwDYEyp6/a3fxTV2eF9FjX3dFUsxGJ6R5fZ1EiRIYQQ5m4DcydyOltvuwPi8LhzETB+7nfR1psJTMPGltvffhchwLVETnJkRJms2xJ0HbwGbeoFXRKEfd5o7SNrDGBMi5ODfzZVsUSbQNNYbZAsTVUs1Gp5KNPFIabUczqD68Xxg18DJtwClOisHS5gjBnzieu3qB/2WRhv19nQ8U2ZLg++r3I0RqlSFdkEKPN42ZpRN+i67cF1p9m9vDlG5ulI5cmJNUa9zAYAIYRqYgzzgVAXAWDi+i2/v/tT3uhcBEBgrTVGVIkWZbIRIKdBNKR+2GdBY5twp2GkyOqqAHWQtdoqXQGutTWBEG4BgPqNLX/rwi+tFBkCBHUgWCaqzKZiObklktldFqV7WpRL5ocDunP5rzclfi2qVOWrY2uMoo7fepnzskZLVRYzmSXHPGqds1rmTqNznofxDloHlarMZypPjutg8attMNYZ5pUW5RKhmnnvdXfeY344EKv5PZHM7sssOZRZcoxee0S/CPbRH193AGMMYCxNXszF/Ye/UtPZXZ0kR1brF1Z+/hRh6426tNYacXj0B52sTkyez2xZnvn8/K5hyzKRk8ltk+dzvVg+pL3lQ/fyxb9kg1qi7YcGrazKVyZZTNRJutQzwoDV1R/0jaoio4fibpWb7FXN81sLNDFlDhDqBOevXvC2zv2cNzuXMOO+LvK5XM7uVfPxTVMVCyOrlDheE7tey+vvvkeDxpAG0RZ23KY1RlXz8ecyS46B0NJqJa3WCggpdZGOxXJ6lzc7F1nU3KNBY0gcr7m2w6t3L0+BcCekfjQgftQnrt82SuZytTgQy1qS5an5u0CYE11+87K/ff7PaRjvYMZ9lSUnYjG9IxbT26YqFkbJkrhek7h+2xtgzMJ4h0XxLvH8jlGiqKann6kimwIh5fN6foBQjh03xoyHmDFfl+VSl/lMZcmxTJdHKluNals7jGkQDVnY2JbJ/L6pikW9A9/0tSFFXD9TaXIk5qc3nXb/Govb52kQDYnrt3WRT40SOXq6LASAMXcbNIgG1A97xPWaKl+N5HJ6Rybz+4/3vgLGBDMnIH7Qc9r9N/yd879EGFNkrFHZalSOjz6Qq8VDI6sUgFAWxTs0au7xZucSjzsXiVvrC77wS2StqVnBqjRSpFZUqSqyqcrTUyOq1GpVAaUOCxpD1mhf8BwnInH7Am92L1uLkMqzcTU5+uDx4RBCkjVaK5kuHsrl7K7T7l9jjXiP+uGAuH6rtlXE2dO9moAxI47XpEFji3pBFztebIRIxWz8mVotDo2W30tx7fXvIGV+NJXZ8ggzJyKO1yS81sRECCGjZK4FS6yoVlbJQtcPE2KUqoySZZ2/MNpqLXWZT0VSb7Ko67cJ44FRIjOiWiHAhHC3sSEZITfsIoRQfvrgN9Xi9KYqsomuijlmToQ3wWWdHcyt1sKus3w0iIaACddVsQBMGCaUW8AEMBCEAKhXl6tVvjrRVbFQ+WokV/P71A16xPGaGztMhAAbWSVaikyLMrHWKF0VC2u01FU+l+nyoSrTidWqNLJKZZYcAQaiivRUV/lMZstj4vrddVa2Ces+y02wi7QWVqtSGy3rfnPC1r8tZOtzk5ueUlWsRlbXv1OjZF7POx2rfHVirVGEezFmeQiUuYAxQ98zuZLvJWBtHMqYS8KoTzvt/TXpCiNrDTJWm7JMTFkmG2vTR28lhAKlLjDmkrjhAqUuwpjUGU0t0HMSA4AxACEOotTBnAfg8E02FZC1GhmjjZS5LavUKlWug1kMnAfAmb+xJwVCGCKEIa2lkXXmHShzgWBa3/uMMmW5NEXx6NkEhFAgmAJjPjhOsLaUhfVn1+dclStTVqv6N/tFVrw+Z8KBMQ+4EwKjLrLW0G4HYc9rYd9vAuf+WZqMgDEGRl2gzCWNyAPG6vUSIrdSvjCjWffHA8aOE4LjREAwQxiTR3M3RlupCitlYaXIjfjifoo594DzoP586iCMyXqLUfdZm/U6ldXmOj+6dkbKEiFUYsZWpiyXyFprtoZvP2+u32cIYcvpSB4++Lz65FWOe3S3upmn5pVtFr61QJO4XosGjaHT7F7mze5lBADl6eHvq+npp9Xk5GORzO9ZrSqr63IXEOqYqkqMqFLe6l1lzfYF1mjt87hzUaWrE5UnJwihOUIIIYuMytNxNR3dwNxtsLhzkbhem4aNLbqK+rrIJuiMcjXxgg5v966ysLEFhHKTpyO5nN2Vy9kd/VigCRhjGjQ6NGgMeat7mTe7l4yssuLkwW+q6eiTajL6RK4WBzUBxygg1AHGfCNFamSV8mb3Emu2L/JGe581OxfrgHE1Qk+0ADwJoNynftg3VZWoNDkSi8mtanLyiVjO7hpZpVbKfOPHjBn3MeOhLvOpLvNZzS374sZojZYqXR6V4+MPiBd0HEzeJl7Q5XHngpEiVavl4dPrAxgTGoQDpzN4k/rRAAEmuizmYj7+XCaz+5vsJEI1IYaGjW3e6l5hUesccf22WM7uVJPRjXJ89Ify9PAPKl+dWK0lAsDV7PQzGoR9f+fCL+uyNybE9V6YYTJaVeXpwfumKhZWr/2f18SPmqhiNAJMBBsHLJreAUIYdtwmwpg6ze7F0g96CJMvfeetkoVM5g+q6egTGkQDh/Y96kd93uxeFgiBTZeH6ClXFiDrftF27xrxgg5CCOkiHVez0Q2ZLg+s+n5mNDfQslqVi/GnskhHmFAXMH1UJjGqyowQK2OURNYoBJjiFXORMVoX2bgOm1SlrbXF9OgDVaRjzJ0GC5t7QJkrV/MH1Xx8U5XpuA44AWPKfK+3+2Ovu/MTPGMfGSXyan7yiRHFEgjlVitRS/qsSUbrMjHxgq7bHr4FmNBqNvpknREd18x1wNQLe15v5ycsaGzX5XRjmB8dWK0qIMyr21bqnkdrlKjZ4EbW1pSY1a4/5aqajT6pBdKLpSqzqZFVmh3d+nuEAMtscWi1KkUyva1FucSkvj9tCD1Gy2K90SmtrUv4krIHCDBWRTr+4rOtLeejT3VVLI2sUlXmU2utBQBjRLH8ove0rkZoUSx1vflevc6ovSwAkygaOOfP/RnttC9g14mAMdcqJawQmTg4+r04OHzfSlkAgNjcJ4HzgDbjHdqMd0mrdY7EjS3MWQCUucXNz/+2/Ozz/xs9K6OMMcNh0CWNaMj6vWus37+KADAChK2QuRUiU9PZPXF88qFeLA8BYwmUctrtXGTdziUghAMlHPt+GwdBx2T5VM1m9xBCQJrxDnbd2GotTVkuxYOD3yKE/vnR2XLmY89r0k77PBv0r5Mw7MM6YLNaKytkJo6OPxRHxx9YUWWAcb4JsIEzn0TRkLZb59ig/wZtxrtWG2m1lkjpymolSBQN0RftWF+sMqUuieMd2ox3SKt1jraae8BZgDn3q3v3f1V8dutvEUKnZ14hAADGHESpy4aDN9nW8C3ie23g3Ed1+xk2QqR6Nn+o5ov7ajK9gxC6v3k/aURD2utdpc14d32d/Lr30GirjbRlmVQPD34nHh6+j+rfzR/tb6dIdXLvs/KD2Ugevspx06WeZ4levKrxvsVA02/zZucSqzOOu3K1OCjHJx/lh3f/US6mt2WWjJ5+j9vb0lZrCZT5TmdwnYXxNmu09lkyf2BklaJNoIms1UU2rmann/K4fQGgtnBjYbwjg2i4zip8OdB0/Q5v9a5uegRNVSzlav5QJvOHRjxWGgbAxAs6Tqt7hcedCzSKd6vx8Qfl6PD94vjBr8Vyekfl6RNNs4AxRsYaq2tXE2fdV8gbrfMqXR4ZUa3QcwJNTKlLHL9llSp0mc/EfPx5MTr452r6/L7TM2G0VGlyXJGTT9zu8G2EEGyuhy6zma7Z40+uD8aU+lHf6Q7eJJ7fQcYoXWRTsZzdU2lyZOuetPW5Ek6DaOi0+ldp2NjBjtvQRTYtTu7/uhwd/q6cjj7VZT5/au2bxHFjFsW7xPFiZtELe3qsVhIh9Nn69VywsHHM4tZ53upeoX7Up43GOeL6bYAvl+itkoVcLQ8IHzfc/s57CAglftBzWt0rRlapLtIv+UwDoQ4N422n3b+KHTe2SpYqz8ZiMbmtsmT0fQ8MjBQFQujB+vV1INevWwihW15v510+2P8zBEBUmU1UtjqR2fJAV/kMARDC3YYTdy/VTjoARsl8XQ6++6wPwIQyf3DuFyyIt7UoE5WvRjJfHsl0eWCUyGuXnfZ5t9W/viaDMYQQknUf7pkPuefg3vr1OJ4e42j9+spYVy8Uqh+Y95/4f3WwkyKEbqxfr/E1AIAxEEzBcULa614icWMLe14TOzy0xuo6O6YqvVge6iybWmMWaN0WUwd6Xou0mntsOLjO+r1rpBENSRj09Co5KW/d+c/ojEATAABc1yNxvM0G/Tf49vAdvrX1zqZCY6UsjBAZOE6ki3JhKpGislwhQhiNGzt8e+tHwKhXZ2HDPmlEA51mYxz6XWSRJc14B/teGwATU5ZLk2ZjwPC7WqvAWuy6DdpqnWOD/nW+s/MejRvbCNdKHtYabYXIrDHa5PlMJ6sTLVWJavUDhB03op3OBb49fJtvb79LO63zVqrCClmsM6dLHPjtM9uaCKbYc2MSxzts0LvGhoO3aCMakigaWqVFde/hr9CzfoMAAI4T4SDosn7/mrO/93McBB1gzAdCGGDApigXkjHfGqt0Wm/WNsCuG9N26xzr995g3c5F7DqNug8cGYSsNUWZmLJK9XR+z5RlAhirF6mH/FBR5iZHCN1ev763+JYDze5l6od9BICNKJdqtXio6pLqmb0ARlSJTBcPdZGNrVECKHWpH/ZpEA3lavHw0YHWWlXkM7SY3JLZ6sRIWWDGfRa3zrMsOVZ5euaDh3hB12n3r2HHa5r1g0wX+cSIKrFGyc1xAECoF3R5q3eVeH4XIYR0VSxkMr8v0+XhmRJKFlldlQuZzB+oIp9aYxRmzKtL0dFAJouXesDrslhWs9NPq+nohq6ZzF8Z1hitynyKAEBldXkRM+7xVu+KytNTsZjeevo9NfEmGjid4ZtAmSuz5bHKkhNdFnMjRb7O3NTHYkKJ67dZo7lHHK+BLEK6yGcb8pbV6stlZGOUytPTajb+jAaNwSMZmFcEa6w2olrpMp8S12/DuvcPAMjTfbtGa6HzdCzY/IHKViMjyoRwt+F0h2+qIhuL+fhLgS1Q4rCaAX8FAIhM5vdVvhqZqkysUgX6njbD/0vBVGUiktk9FsTbPOqcdxqdC6rMZ0aJfE0S4kCYV5we/FamiwO0JtI8D9Zao8p8JpaT29SP+k57+CaPOxdVWRN9AGOGKfOsMbKYHP1B5asvbVZf408HQImDXbdhtRbqdPy5HE8+R7WhgENazT0SRUPse01+/twv5Gh0Q56c3kAI1dJXlcjUbH7fSlnoVTpSs9l99+KFvyBh0Hvm59XlY04Cv8N3tt51zp37mU6Wx/kHH/4Hq7SwWkvsuTEJwx5CyLJh/zp2eCCOTz5es7IRQghZbSRCCsnJ9LYYnd7YBI+mWw3P5gAAIABJREFUqlJxePQHq7V0dnd+TKJwAJwHQJlrrTFAiXb29vbcixd+iQjh8vDoD9Xdu/+IDDJAMMNB0MGeG2PHCd2rl/9aPHj4W1MUC8DYIADCd7aHzv7ez2irta9m8/vVg4e/sVWVWikL0ox3SBzvPOvcrVSlXiSHVunKZNlUTaZ33IsXfol9v/3CC0UwY/3eVWd/7+fAncCk2VhNprd1mo6tVCUCAKtUZfJibrJsYp4KNHWWTeTJ6IZOkhPx4OFvEMEUWWSB84C2W/vE99rY4SHbGrwpJ7O7a5mlP6n78fcN32rpnDU7F6kf9urUeJWqbHWi8vQUWWuAfLmkSVy/UNlqpKt8brWRwJhH/bBHg2iAKfM3x1lrLRA6M7JKVb46MUpmQJnH4vY+S5Ojanrypf4FAIDmO7/o8FbvKmbMN1WxUNlqpMts+iX9Q8CYeH6Ht7qXiVuXSU1VrlSaHOsim5w1f8AYWyVyla1OTFUskTUaKPM3PY/42Qy+J2BEuRSz8U0xG3+26ff6qlizVeeYsExmqxNdFnOg1OOt3hW5Whxg+mWGJmBMqR/2nXb/DVOVS5UmRypbHZuqWBr1VP8hxpS4fptGzT3M3QZCCOkyn4nF5LZKk6Oz+mOt0Url6VjMJ7ec7vCtrxKY1ZaFgNZ9a/W/0ZNdbMQNsFGq1GUxt9ZqzLgPdFNGfbLdbZ0pndCgQVWenuqqXGLHbTidwZtiPrm1kU164pTrjOYWb3Uu6bJYiGR+X2WrkRbl0ij5vS6b/0tAi3IpVvP7xPGbXtjcpX40NLpmSq/7L205H32Sjw9+J9PFQ2u0fOGg1lpd5tNqOb1NvLDnNLtXMGGu0bJA9V7IMbJalfPTG9VsdON1oPknDkIYdt2GTlYncjK9Vd66819Mnk8RAHYvXfgLvn/uF+C5TaexN7RKlmoyvY3WgeY6GMmBkBMYT2/TyfQujeMd5/y5Xzzz8zAQoNTBQdDmW1tvO+f3/yz9zT//r/lHn/zvpqxWVoiM9bpX+d7uT2infYH1+9dIEHT0Kj3dBJoWIYTWzlB6Pr+vJrM7bHf7Pb678xOUpqfi6PhDvVge0jjeod3OZeDMB0ZdpLVCxijSau465/f/XC0WB+Wt2/8gj44/sEqWQJnL+r2rrN+7xraGb7Gt/bdNXszF4dHvrVIVIoTiMOzzvd2fYs9rVfcf/Kq48dn/aYpiaZUq3CuX/9oLw/5jChBPwNb6y8eA8UhNZ/ew60QkCLrO/nPWaw3AhLJe94r7xrX/Tk9n9+R48rk4PPpAHBy+r7NsWh9Tq5ggDBjpJzelJs9nUmmBjFFWynxdLbAkCgfOxQv/Fd/ZfhccJ6SD/nVTiUzN5/fPnMgfMQA2xr5fD3Ub/qvTE/3WAk2gzCVrcgsQynm7dzW+/uP/yd+58Ev7DLIgpswDxnynM3yTeH6n7rsiHMi6AfhxWGOsRkIX+VQsp3epv2a0NlrnMHcbgDGpgxlAmPGA+FFI/aBHPL9jRJWI5eyuTBYPniHwDkCZR1yviXmtlen0tt5uvv2z/1llyYk9m+gImHEPU+Y7ve0fYe5EVmsBmHIgxHkRO3XtYiJtTcAojJalNfYbyZtYZK3OV6fV5PgjFjV3qR/0WNjYIl7QJtwJjVYlsghhzkMWxlvEC3vE9dsqXR5Vs9NP5WpxYM7ITkLdg+di5oQIEK7nqyprjLTWfInR/ugUlSrr/jNVoZcgiwJgqNUIooAG0ZD40YDUgvAhUOYAJnzT/I+5E/Jm9zJvdi6xsLGFNiw8ePTnlz/PaKHS5WE1Of6I+mGPho1tGkZD4votzPjiC/caJ3Q6gyH1gh5mTiiWs7vV+PgjlSXHL5Op+2OE0bLQZT4t56MbRom87pfUEllrADC1CKFaOD8d6TKbWvsy32VrjRKZKtNxMTn6fU0GwtSu9SsBY2q1EjJPR7pIx7oq5i8a8TX+iKG1NFWVmqJYmjyf27Jc1PdcTHWajvV0dof2uldIJzqPPa+JXqB08SIAoRz7fpsEfsdqLfVqNTJ5PjeVyGqil7WmLBdqOr2zKecDow7+gixUWx+s+yFNWSVGiNSWYmXKcmmrKkU1EUnX5Dhdb2AJ4ZjViiEk8Ds48NrM4YF3/Y3/nm8N37Y1gZGuxda72PfbX2zKEQJKHew6Dcy5j7SWtqqSDUnKal3PO89najq7gyjhOHiJLOXLrhkAYNel2POaNI531en4pjwZ3VDzOpv8xboghKzRSIN5OgmBXbdB4ngHB34bu24MhDBrjMaOE7FB/xppxrtmtTpFK2uAYApPZxb+SAEYAAPCboDDzpBFjIPDHHAIBgIYYfQV1iFPzdLzyWmR61fCPP/2Ak1CHeJ4TcydEAhxnFb/Gm+0zz9egj3jXYCgruICJlzlqxEQyusS6JOixuusnQ7PX5vJxewuZjxgjfY+azTPEcdtIIwJMsYiBIA5j4gf9ogX9ogXdHSZT8Vieleu5veNlF8ONAEQpszDjtfCzAmBUO52h2/zVu8Kem7J99H8GRDKdVksgBAHCOUvZFlbo5Ex0mhVrQkv35zFbGsWeDU5+YhwJyKd/nUaNraJ63cw44G1Vm80SWnYGBI/6BHXbxkpMjEdfSpXi2eQXACAUIdwJwQAsEoWVtXErmdp/9V6Zqoyokzr3fFLbJ7qADKiftR3els/cntb77Aw3qFBNCSOFwPjPpBaUxMIYUCIC5Tyui8TNjfaZ/J3N6SpanL8Id4+/+du2Nhaj93GjJ8aaxRgwrHrtUgQDYkXdDF3IlMWi2p8/KHK1pJAf4KwSpZKq0qJfFEtTm9u3II2Pjj1QdZsiC4v0zO1JspkRolcl/msnB1/hJ7eJGwY8LWbz+vy2J8wrDbSViI1RbkweT4zZbm0xlig1JpVdqrY1KXt1nkSNYbY9eJvqnULZE3g8f02Mkbp1WpkimJmhcg2iiKY86WazG6TRrxFXKeBiM+Bf6FZizYb7rJcmbJKbCUyU1WpLcqlrURqtZbIGIO0kmh97wVKHcxY7dwT1IEkdt0YB37HPu7GU7PZAUlZWqXKze8QKHWw58WYszrQ1FraolzaskzWckXYFMVcTad3ceB3Uad98Zus05OLVhu2YM9r1uQjLeVodEMvkyOrv6hyrJMTZz47wHUatNU8xwb9N1i/fw17bsMqLREGggO/DZS6yhpjynKJCGY/NG3MrwsABJgACSISt3p06Eck9kPcoBw4xkC+iuTR5Fg+LGt5ox9WoIkAMMKArUXWai10Wcxlujgw1cvrbekin4pkdl8sprd1VZz5vrpkO/6ceEGXRa194ngxDaItFjS2dJnPrVYV8cOe0+6/UZfxMdFVuRTL6R25Whw8K6NZb8XqrKhVqlK19uLBs/pLz4LK01O5nN8Ty9k9I6rnu8ZYZGstTKOfkRH8GrBW5elpNTn5hDVa+64xCjtuzOL2BZWvTuxietdqXdGwscWb3cvE8ZrWGKXybCIW09sqW42sOZNNXSt3beRe1k4nLzEda+3alu85gshACMXcbfC43XH7O++6/e13iRd0iRd0EbJWpcmxXC0PanmLehyg1KFBtEWDxpC4fod4wQt35VZv2PknH7G4c9GidW9xq3vZSJGK5VQAppxFzV0et89j7oRWqUpl6aiaj2/qPBs/f+P0xwv7RYnNoEeC+K903CfIVUAIAUochACstupxqTDsuQ3sug3g3Mec+aasVjpZnZjq5X+rr/FDRO0hWqsWPClrU1e81ptADAQBwt84zwVoE8zhtayORsY8ueGpK1MKWWPqkswjCZ+npm0Uqqs/pv7b6PWmrP7+20dWpXXrEABGGONaBkgWqiyX4uDwfZ2sTp4e2ypVWaUqeXJ6wypVbfSTEQDUrh61KPUTzxljtNV1eRp9M2nSs9ZtM3+KrLVWG2mNUS/UlmbMAUod5/y583xv96dAKZeTyS0rZG61EsCYR9vt8yQK+7YSq81CvdK5f89ACGDKwfFD0rj2nn9puMcvxl3ab3Zo3/HA5y72CAEKGOGvktm9/XH5uzWT/auSKs/EtyzYDoCs0UbLUibzB/nh3f9XJvOXZr0aKTJd5lOVrUamLM4kxugyn4vZ5BaLWueQNYpwt8HCeJtFzT1rjNJlrqgfDZzO8Dr1wx4CAF3mc7mY3ZGr5YFVZ2Q015NfS5Npo2QpF9M7+eHdf1TZ6kw/9DPntianqHR5bNYCzc+GtchublqvKNC01uo8Pa2Mlk5/60dWqRJzN+LN7kWVpyOVZxMjSkSDxjZv965ix4utUqUuslOxmN5RefpV2NQvN2f7YjcVwISvyVhX/HOX/+vowvW/MbJKjSxXYj69I2anN1SWjHRVLmupIyUw5Z472Pmx29t+dy36/0L5JGuMlGlybI1R3ta5nyNjFHH9Fm/3r+qymKlsdQKEcBY191jcuYiZExglc5WvRmI+uWWUzNFr95ZvBxhTcHiAABNU2gStg1sAANJutmi7dY6EYR+HQVcvlgdWiFe2O3+N7y3gqb/P/v+v1Mra2pcY8AUqqPZpu9JaD/LMe+O6H339t9Vamkqkajq9m3/0yf8hj0cfPzU2QhYZVBsmZFaqEijz0Ka6U8exX55/HXuuKwUvOLuvjC+FPC/RNgWAPdfDnhezbueSs3/uZ3IyvSNufv7/yNPxTau1wJ7XdPZ2f8qGg+vPrzT+8QAToK6Pg3afbb/9i+Cv3vtl+N+GMWlHTdJ+FGBuNjZfUYv30/ez/+9VzfNbCzStMdLUjbsCIQAtqpVYTG6Vk+OP1ru1F49RizjnWlTp4zqOj8OIailX8/sqTY6NqFJMmUfDeJvF7Qu6zKdGlAldZzSBcl8X2URn6UgV2cSIKj2LuFLvurQwUuSYOxIAoLa4PP1MLKe3v8L8KyNFbkS1OrNE/8TB6z9fofWZtdZiyjJrjVZZOlK18L3LGs09nndGYnb6qTVKsDDe4nH3IgBgmcwe1ISscmlrG7wzfsB1P6nRssTWtUAIR5iwtVD3mc5MAKj2FKa1nuHzyhtAqMOi5p7T3XqHN7uXaNTYLkeHvy9Pj/5Qe7dPbuk8GxtRrmqrPi2I48Y0bGybpshRTTx5iQtkjJEiVXmKVLYayTQ5QgCk1m5NjqrJycePAs1Gc88arWUyf6Dy9FSLKnm12efXOAuAcW1dGfgt2mruIYKprv2JvzAQIIQBZz64ToR9r2WKYvFN+/Fe4wcAjAlm1DOcB+A6EXacwCpVASEEXDcmjWiAAIgpinkt+/PNWi2sNsqWVS2GDoCx58XgOCEw5gIhwmqtgPOANMIBdt14LXWUW3WGCsejzP3jt48v3zY3f1mlxFrUvER124hGSlWmLBMrZbEm69RHE0LXrWPaGmOw50orZLYhBQHGtM7+c29dvrbAuU/CsIcdJ0L45dzBXn7hjLFC5CbPZwhjSpqNHau1AkoXT8wb47qvcJMhJoQBYz5wJwCHR8haq9NsohfLw3XPt7UIIXB4aKUs/hT65R0X/MEuv7B/zX3n3BXnra19fllUtswSs5DCVKKypdFW268YS4yP5IOqMK/Mq/7bCzSVrIwolkarimJMkdFSpsmxmE9uoZfsr9p4Jltj1OP9HI/DiHIltZYyS45r1xHu01qG5pJYTG6hFB8TP+zzdu+a1aqSyfxAZcnJxlnmGQ4Q1mpZ6qpYEM/vACbMalXKdHmwnr9+xvu+PH9jtDW12PhLLNsrhzVaWmm0ztNTsZzdZY3WPg0bOzxuTzF3GlhUKQ0bWzxuX1BFOqlmo09qXUglntVXZ621VsmybiMILabMA0KcmpiDz7S4rPs6mYMdJ6rFr5+928K1FecFt7/9Lg3CAbLWVLPRjeTzD/+jXC0emrJcWCVLa2v2Jqr93fHakpIhAPK88R8/D8C4Mgghla9GcjG9g12vxeP2BbmaP6jtEQljUXOXhfGOztOxXM0f6DydIGP0q5Zoeo0zgDEFxjwSBj026L0BlPKqKBOE0PF3PbXX+G4BhHDgToA9r0mCoIN9r2XyYo4AMAnDHu20LyBCqE5Wx6YoF9+0+mC1EjrPZzjLpghjSsKwjz2vte7BTAFjTdutmHY6l3AY9ExZpTXJ5+uphzz6XGstUio3SgkrZV5n990GiaIBicK+XqWnaN1qAhgDUMqAMddKWQKABkorUxRLK2UOhHDsOCF23QY4ToiqKttkB2m7tY8Dv3OWycXXnrsxBruuMmW51ElyBJQw1u9fQ8YaWQfgm3njDbHTGqOQNRowprVySJ3JXfMAhLW1VS4w5pFGNKDt9nmdJMf6cXLRHym8gITnrjhvXf+p/8vhOecic7B78qC8ff9m9XEyU+NkrqZS2MoY9FIxygbjY/lwMdGvTMXjWws0jahWMk2OadDYRghZIITjmtRDtCjSZ/RGfvXPUUoAgNRFNlXp6oQ4tR0kj9sXqB8NVLo6pl7QZWFjS8wnt+RydkdlybGt/cHPDhSstboqlypdHFIv6K3twjgmzEUIwMgyeyVknW8B63M0we7FiZiPb2HGA6fdu8aieJdFzV0AABo0tonnd8Rydq+anHyistXJcwNja7URVaqLbGyDxhbCmBLuRMQPe1pUKyPKFXq6bw8wwY4bs6CxhbkbPTejiTElrtukQTSsdRO1UtlqVE1Hn6gsPUVGy8cDWVgrEmDGfeL6LaDc+yrrAxgLna1G1ez0U6c7fIu1G9dY2NylUbwDmDAa1nMWs/HNanr6qSrS8esg818WtdUeYSQK2yQK+7TXucKGgzeAEm7yYs763cpKVeAwqIBzHyEAoPVDlERhn3bbF9lwEALBFBmjTVklpixXVunKSllhz21gz42BUIYwpggDhro0KUxRJo+IGdZq7Lkt7HvNtWUe3pD+rFSlLYqlESJD2igEADgMOiTwO7WuopIAdUa27oFTlTVWbyz+rKntCq0UuVkHIwAA2PeaOAr7SGmh0/TUlK97Tc+EMcpKVQLGlDQa22zQv2YrkSOMCe33rpI43rFVtZKj8Wc6SU4ebwPCnPs48Fts0GsCd0IaN7ZwGPTq71w04MPBdTboz5HWwlQiM2W5RNooW4lUZ/lUr1YjnaZj7DoR39l+164zlyRubLNu5xJwJ1DL5aFeJkem+ObqCFZraYTI9Co9VZPpbWStJXG8zbWWOssmzt5ughACvrONrDESaa10lk+t1mLdz5zrvFjoJDlGjcaQNKKhs7f7001GlLaa57DrNoBS5ywSCVDKSeC3Wb/XAscJsetEpBENEaMuCYMe6/eu8eGAW6WllSIzRZmYDVHJGKUXy8Pq4cHvrJA5bbfOAwABzgNnb3eFEAK2vaWRUsJKVa6JXYnVRtaC8iKzZZUAJZx12hcAA0EAsNZJ3bRInfk8wa4TEj/osEG/hT0vpp32BRwGHWDMo3G8w7aGb7F+r7bArarUlGVi1XeTFHoZcBe87hbb2z7Pr1AGfDFWJwe3q08/+33+T4uJGq0WaiaFraxBX6naVmYmLTK9elXz/NYCTV3mUzGf3GJhvGONfgs7XpO3e9dUkU7EfHwTPVb6+qaw1lp/e38pltM7xPWaNIx3WLNzgTXa+6rIxsQPe5i7DSOqVTU7/UyulofPswy01mpdZJNqNv6MhvEOskYT1+84nf51LcpEzMefo6ecY77vUEU2raajG7QWrX+D+NHA6QyuE8/vsCjeqVny2bSs2dTPle1Z975OZbI4YI3WeQAA4gVt3uxesUqWMtH30VOB5kank7e7V6kXdF/Awoe1MBiu2eq6Wr8Esk82kQPGGAhlmDsB9cM+i5rniOPGX5F5aFW+GlWT44+IF3Td7vAdGja23e7wbYQxpUE0BACs8tVJNR3d0Hk2fvGQr/FNAJx52POarNe5zLaHb9Fe5zJtt/YRxtQCYNwIh3q5OjbJ6gRx5iEM+FHZMvQ72PdaVukKOPORUpU4Pr2hTsef6VU6RgiNaau5y7YGb2HfawF3AqC1VJbO8pk8PvlYjae3TVklVqmS9rqX+O72e8CYhyhhsA5M9XJ1Io+OP1TT+X1biRRhIHxn613n/LlfmDyf67yYA63lbayQuU6zqVV1YIQQIKtrm0Q1WzxECD3YkD5or3PJvXzxL3VezKvPb/8DQujOd3w5vpcwlUh1khwhQhzabu1jz23Amp0NDg8BEybmi4fi4cFv1eJJBQ0cBB3n3O6/Yv3eVXCdBg6CDhsO3gDOA7a9/SO/DvLHJi/majq9LY5PPjZpNrFaC5PnM3l0/AdkrcGe1/R/9Na/W/OSDMKYAMZUJ6sTeTz6WI4nt9bfuW+Gujqm1HR6p/zs5v9FW6190or3aL97Fek6A4gQgDVGqensrprO7iI0RaYsl0gpsZZjOqkePPwN6/ev0nb7PBv037BCZEaIDCktN2Sgs/rC1gH1e2x76x3sOBF4boNtb/0Iu26D9vvXvLfe+B/UfHlgimKu54uH4vjkI7R+xlutpTwd37TWGtbtXma97mXabO7yc3s/q6tRCEwlUj1fPFSz+X15evqpLoolZizVxii9Skc6zcbE91veG9f+jZEyR8YoBAiAMV8vFgdPsO8fA4kaQ+f8uT9j3c5FcN0GCcMe6/Wu4cDv8L3dnyIArNNsYvJ8qsaTW3I0uoGe4+D3XYNQYGGTtMKYtGYjdTQ5lg8//7D47a0Pi98WmU6lsKXR1qA1S+5lx9XKSiXtK3O3+zYDzZlYTG7xZueSKYs5ptR12v1rRooMWatZ2DDWGLnukaw7nQFjBEBqWyrKrdHCVHUfXu3nbZ65cLoqE7mc3qVBNFyXh7d5s3Nx3aPZB0K5rsqlWExuqSw5NuY5JBdrjc6ziZiNP3davau6KpeYO4HTHb5ptCqR0YoFDbBGK2vNev6AAADXggOEAyHcKlVqUSZWqepF8/+XhimL+fp6XLRaCeJ4MW/3rlI/7BMv6FpjtMqzcTUf39RFNnkem9oaLVWeTuRyekd3+m9YrQVx/Y7b23oH1eVsSb1gYq3VG7knGsUd1mieY432eeJ6LUDPDjQtssZqJYySBTFaorrX1CNuLStCHFciiywCIMQLXeJ6Td7sXKJhYws7XhMoc9FX0VKz1qoim1Sz0095Z3DdWqupF3SdzvDNWibci61WQmWrkVhMbz9tr/lDAgDAuk/r/2fvPZskybIrsXefchlapKjM0qrVDDDb0AMM1hZGs90P3C9r/AH8DfxV/EozLo0EwAUIMRiMblm6UmdGZAgP10/yg3tkV4uqyurOUt15ZrKzu8rjhftzdd+995zDwHECzHmAMBAATE5aPZQsTCkSq1Sx7PN65fuJ6/vIdRqkEQ5JGA6x6zYRACa+17WNcGGlym1ZJrXGLgAlHFy3CQghpCsWL/a8FjJG2UrwWSKEAHOeOFcvrdKVwS3suo2TZw6lDrhu00qZWWMVLOJDUxQRabcusNXhOwjjqj0DY4oIYUCoY8sysbrK2CBjNO13rzjXLv+FOp4+RJPJQ8CEYc4DU5axrRnDlWQbYQgDtcbIOpu5DZQwoNQlzeYaXR2+A1F8ILZ3f/WsecKce5WoN/OAMg/Id5Pw+SpM5d2dVXaOsniafNmrhDWVzqSOk5E4OPwEe17baiXAcZok8DvAeWClLExRLFQU7cmj0R1rjMau1yK+L61UJe22fRz4PdJorIDDQ3DdphUik5PpI6u1xI3K0Q4wJjpJRoAJW0rwYMZiORrfs0qVfHPjQzroX6/Z5dgKkdmyjHWaTuTx5L46ntw3ShVAqWtKkZgkPTZFsbBlubBCZEjp0hblQi/iA1tlFwtbZSknah7tmCyb15JEClmrdbQ4EFpLK2XOfbdNGo0VIJhV9wAA0lqaPI8govuIYIoQWvbMWxIGE7l/+BEyRvLNzQ9pp33RKlWAEJmez3d0lIyX7HSTZpMTYxJjNGmEFLtuizTCFew4IThOaLWWajbftkJk2PM7RBsJBFNbFBFQwr84YdaYLJ+qyfQRa3cukrCac4vqFjprjc6ymRUixUk6BlJ9tq4aFu7VK/tqPL5H2+0N8NwWDfyuVVpYIZJqMZDNUPXaMKYUyZNtecCoSwK/SxrhCjDuA2eBFWWi59EeQtaSZnOt4hYgpBf88E3v7SYUqOeThuuTMI3LaPdheefgcXnvcLt8qKR9YzKxry7QzLOZNdaI5vhOOR3fZWFznXcHt4jrtakX9Mpm57Iu8pkp86hWJABMmQ+M+9QL+jRoDFWWjPKD7V+I+eShrdxpnhocmrJYiPn0IQ1a62Z44Q940Fjl3eFtoNSlQWPFKlmoPD0W0fSxypLxM9nU1hqVp8fWGFVOx3ed6fgucb2O01/9gDhem7pBX8yPH+ginxlRxktRcMx4gBn3iR8OqB+uyMVsKz/Y+YWMZzum6kd5bReCFmVs48WeTBZ7Ks8m3PGavNW7YgNZAqGOzpKxzuKRzpIjI8WzLRW1Fipd7JcYE6e/9oEushnxgr5/4cpfEMdrY8drqSTaN0rmAICJ63dp0FxzB2sf0KCxirnzzNK51UbqPD2W8XyHuF4bMx7wTv96sHntr2oyzriymquco3inf523+9dZo3PRKJEBoRyx06/mrLWWcDeSxmqVLA50kU0Jd5u8O7xV95vjiqUfj1SejJ/0fX/rUGvaEd/vsbXV9/jqynvgOCFmzLdKFaYsEzWdbcnDw4/VdLZlyjJG3+D5/LJhhMyRTY/VZPYYCOGmFCkty6vIIiS2d38pDg4/sUW5MEWZkEbQx2EwQMZqq5UwcToqH+/8u8nzGfa9Lva9DnackK2v/ggBEKt0iX2vgylzdbQ4VOPJfau1xI4TVtktv+dcvTRQ48kDPY92ses0rdKlmk921fHk4dL+DntOk7RbG9hz26UxSkeLA2DMw67bMmWZqqPje6Ysk9rRJLelSJG1FlHqkMDvstXhbdJsX9TT2RYAAA6CJmkEAyCY6Wixr6PFgRXPvtZq7+nbrNe7Sru9K9itnLo889xGAAAgAElEQVTOCnI8uiNHozvyePJQTaePUOXR/lphpSyMtTN5ePiJybIZMOpYbRRUGS4XYcKQ0cpqLdRsvmPKMqHtzkXWH9wwZZmoaL5tlRZid/836nhyH1WmIHwZsFshEluWqamC69yk2cQUX6iGWGOkybKJ1EaaUqTyaPx5FaAhqINCYdJsoufRnlGqrBZvqlCTyUNbiaQLq1RphcyMEBkaje4aUaZWaaEX8YFVqigfb/9cHU8fqPl81yw/Y4zFjGU6Scf24PBjnWZT7DoNBLCUUAJkrTZpeqyTbGKybFovrqr9FiJV82jXSpnp+WK/9Ny2NbV+c1HGpixizLgPrtOwebFAWkvMeWikzExZxmJv/7c6Tg4RIRxoTdRhzLNKFbYUqZWimq/KSnJycsIAExKEQzYY3qat7mXihgMdLw7Kg73f6jg+NLIKzk2Wz0yWzXTy5YqRmk63irvm78FxGlXPJkAlX6WFFTKvyFbWIouQjuPDJwm+erE4LB48+idxcPQpEEwRoRwYdYESbkuZGiEyK0VmhUx1kk5qtYo3GrgSusJKWpGnJpbCvnHOdK8u0CzzCCEUBRvX7pXHh59gQhzeG95iQXMVKA9o0FhTaXygsmSMqnQgItxpYsdtsrB1gbW6l8V0fFfF0Z5Mor3nkWmMLGO5mG3JZvuiEWUClHlOu3eNen4Xc7epRbHQeTKW8XxXF9n0WSvzOvM4RwjNw8u37hbHBx+7g/UfOb3BLeoFfcx4gzZaF1SyONRFNkG1AxR23Cbmbos125u82b2UH+3+Wi7m2yqLR3B6maCXAiPLDCGUhZdvH+osObLN9iYNmxcAAegyn4tksaOyZKSyZPK8sazRSmfJyCpVysphaYf44cDpr76HGQ+AUkfG0a4RRYwAMA2aazRorFC3IlZVZXO7ZF5+w/hKVBqkk0es0d5ECCHWaG/665f+XASNNbmYbVljNOZOwMLWBWew9gFvdi5arZXOs2NMKEfIa7/I/OiqrzRu3f7DA5UlI+K4Td7qXLbGKl1kc5UsDlWWjHT+9mYzEaoY2iQIBmzQv+5eufJT98b1/0h8v4s9t2WFSHWaTsTe/u8QQtZKWdSZ7VceaFopS4RQScJgr5JesQrVurZid/+35ePtf0eovvEIpjjwe7Z6oZc6WuyLnd1f6Vm0h8OgR3vdK87VS3/OVoY3rZCpyfIp9v0eODywk+ljeTj6zBTFAntemw6612i/e4V2OxcB44qh6/CwsjCcPiwfbP0LMlqC6zb5+uoHfHX4DrCuJ0eTe3oRHwKlDjg8sKVI1PHkgY7iQ5Pn86XuJxBMgFLHdtqbbH31fdppXRBu1eqBPbdJ2q0NRAjT88W+jhb79jlqFaQRrvD19R+7ly/9qXPx4h+RRmPlLM9Dfv/BPwDnQR0E7aM3IdCsmMoCIRQjhB6c5jPu5qUm6w1umDybWSESFc135eHRp0aIF762rdYaVeXVCCG0c8qPGYTQbv3zVUQIocdf+bPff+Mg9X2BqvfT/VN+d/VZUWUIEUJHCKHPnrZd7ebTxH7Qx16lrWzKMkEI3al/XgyAMHacBq1c6XqEuQ2ZHn0qtnZ/KY4OPzF5Pjfy6edBzaN9hND+C38vQkgn6TFC6PjbfPZNhbUIGYOMUUhpaYXRSKOz1j79jnjlaWG5mG2n2/f+XqWLAzeeb9OaPMIanQ0atNaq3hJ70k9Q2YDYSm4mnu/qMp9X7PBnl2ysVqUu87nK0rHOk5ERRQSUuYSQoS6yqUzmu5UAuRYv4igi5pOHyeM7/7dKol0Zz3aoF/YRJow3O5dY2N542v7LJNpXSbSnRRHV7PY3gjxiynxezsb3ied3ebt/AxjzVbI4EJOjz3R2ul6imq1tjJJ5Md7/HWDCnN7Ku7y/8g4AplV2sb1ptSpq9ro0Uub50e6vdJFNg41rf+VvXvsZ+kKg+MvjK1XI+fQRssgCYS6uWOqINTsXid8YOP2192tCUFV2ybNpliwOjSxja4zy1y//OQ0aq99mfnSeTsTk6DNMqMs7gxvWaC3j+Y6Yje+a4u23PATOfb6+9oF7/fpfs+HwNmmEK5hxb5kpIACEDQY3jJQZUMLto8f/ghB67uLjTYBVqjBpPjNFESNtVN3fK5eKFUCJg13ewIHXI83GkLSbFxAGgihhVsgMKHXBqwgRJi8WCABj32shi4xJs6kVIkXWaKu1RGWZVHIxlIPjhEAxQwghZEzVEiRlZrJ8boXIviborbW0UhVWqcIqLRAAAGceDoMB7XUvW6VKPZtvq3m0Z8s3P8PyNkAtor1i+/G/WilznSYjU5bx05RMfsiopMI4J43mGusPblRM7wOJvssCwxil5vMda4xGlHASBAOT59E3Sgue45lQ0so40pPFVI0pA95fY5ujPbEFz+Y8vHK8+kAznu3IZL4rFtPHKo0P3eH6j53+2ges07lBXb+DHa+NalcEUzGWFzKe74po+kjG8x1d5lEVrDzbK9nUq1xvdfNYZcnYlMWC+OGQUO6rONorJ6PPVZaMKnmE07OxZDR5JBfTx3Ix21JpfOQO1n/s9NfeZ63eVeL6HcydRu3soExZLIwoYrGYbVX7H+2Zsi57vCEOMrrMIzEf36NBRZxBjPsqXRyW06PPVH56kos1xgBAXoz2fy/mk0fB5rWfIQDs9Ia3ebt/HXMnRMgiI4pIzCcPy8nRp8XR7q/zg62fY+403NXND592To0UOWDySGXpuOo7o47TX3nX6a28QxyvhSnzrNbCiGIhounj/HDnl+Xx4ScqT4+tliUNGmve+qU/+VbzU6TTcjq6Q7ygz9q9q8gapepA823uzVwCOPP52toH/ju3/zO4bgt7bhMte6QJ4cB5SGldRiSYycn0EULo49e716eDlbKwWT4zRbmoGeOmKmUqgaDu4XSckAR+FzfCFdJurZNGOCTt9sYJUUTp0uR5ZPIiQhgT8Ny2LcrYpNm0Ln2bmpUqnSsXC6BVoIkI4chaZK3VSGtlhchMXszNV0gK1liLEJKk1SysVGUdaGJgzCeNYED73SvqePpQzeY7eh7tmreglPc2QEXzPYTQ3uvejzcdQEglJ9ZorPKVlfdMlf3dQd9h7urq4Q5CaCe4/W6P9frXTFHMkTbngf4LQisrkrmeRlM1JgxYf41d9BukBS8ozv6y8coDzWUjMvWCWTkd3TGiiMXs+D6pStA+UOrWCUFjlSqNVqUp87kqsqmKF/u67pU8bUZQpfFhunXv7+Rito25EwImTCWLfZlE+2I2votecBV7sv9+OCknR5/qIp/XgUgXU+YDpc5y/41ShdWy1EU+00U2lXG0q4tsZp+SuUMIITE7vp88+vz/Kg53foldry2j6WOVLL5VmeCUOLHpstZao2Quk2ivnI7v6Dx9ocxVLQhfGoFQOTn61GotitHur4njd4BSByGLTOU0NFFZciRmx/d1WcbZ7qN/RsYolcaHYj55IOP5rv2q3JW1xmpZVrqlRovp6PMseDTEhHlACLOVXEyhi2wqF/NdlVW9PshomTz8/P9UaXyQ72/93JTF4kX0xJZztNwHI0QiFrPtcj55oIt8/oLjvDEAjDEihLNeLwTXaYDrNoFVeqbwlX5ZIITjIOiSIOxjxk4tFfVSYJFd6tZC1YuGn9nfi54hU2yttUJkOs2mJEmPTZyMdbTYFwdHn5qsPre1ZA4yRoPjhODwAAhmOPC7wHlQS50xoNThFy+4VithyzJB2gj0RfnKfunXN0EpoefRrnKcEJC1bGVwEzfCYX1tm4p8owr0fCLWF5aFZ2j2cBYgYdinzfYm9rw2UOoAIQxqnUQVzXdVFO0BpQ5QwrHnd0kQ9IEQjiwyCIAApRxprdQi2tNJMgLOA8ydwBotkdZS5/nMZOnEKiUQAGDf7/HhyjvE87tidPSpnBzfJ2FjlTaaqzgMhyQIBzpNxnJyfN8kychImVutJEIIYcYc1h/cZL3+dSNEaoVIEcEMKHUq4kkZ6zyb6TQdI20U7XQu0WZrAzAmFemmsqbUSXKkotmOVboERj3suA3iB33sus36PWGBUAco5SqOD3U030OEcuL7HSCEW2M0AoSqBTZhVlfHikjVxqHm8x05nTwASh3abG9iv3rWAiF8qdJRze18F2rCGva9DvHDPlDi1HOLgVAHWaPVItrXi8W+NUZZYxQbrGzSTucyHwxussHwlpWqQEoL//rNNZ3nc1Pkc5NnM5Pnc9rtXWHd3tWlNSzCmAIh1JRFrGazLR0vDq1UuVHyjeshfFuRpybZvld8Qjk4q5v86nCDX7r6jvsHZW7SK+94B9FEjYvcpErYUmurTGXO+sqfC6+NUaXLfG5kmYj58QPAhCIMBFDt4Vqh8mBF1iLzhFB7xUw/dTZQpfFRunX379LdB/8IqPZ3NUYho5U1WhitvlWvpC6yqRHlopyN7wFgUu//8qVnl6+4ev81suaEVf+sflAxG9+Ti9l2zfzF1mhpXibZpOZdAQJAFhkrZS7jxW45G919rh/7N6DSBtSinBx9KmbH9xDGFJ4MBipfXV0L1wtrjMr2Hv1TcbT7S1uXIa0x8qtyStYaCwClnB8/kPFsG6CSDUEnPuuVZZutrxNULUasRciqND5Mt+/9vVWyMEpmL+beA8vAC2obt0TG820xP37wbebnjQEABkod4DzAjtPArtN8WsAGlDrY97s4DAbAmP80t6dXA2sr1ru1lY4levKZ8ZVNayu/p1gEWousFTIzaT7VSTrWcXIk9o8+Le7c+1sd1Ys7ixBC1gClLu11L5Nu5xJphCvY97vg8LBWlWBVuZw6SFX6e09o7y2FRZ45X1apUs2jPYQQYM9tsuHgJm40VurMqLZSFlbK8rnzvgwz37AeLYQQIkE4cC5s/CHtdK9g121izn3AmFmpimL78b9apUvsOE1wnQbr9W/wwfA25o6PjNGoEhZvWKXyYnvr38TR4SckbAxJGA4r0olI5XT6SIoytVpLBEBIEA69K9f+ivUHN+1Hv9VyOnlIm611Z/3CH/LV1ffZyup78ujok/TOZ/9dKl3WVaa6rYK6fHXtR/6td/6zTpKRTuMjoMzHrtc0ZZHoeLEvp5OHSGthpCr4yup77ubFPwZKXaDMQRgoAkzE4cFHxZb9Z1OWCfa8Nm22LvDB8DZttzer94I14DgN7LiNcn/vt+XO1r+B44S8179e9cKqEgFgUgnBB1ZUhJWKwELdYuvxP+skPsSu1+Lr6z9mvf71am6dADBmVht1MrecBeC6DdbtXWOD4W3iuE1kjEYYU+y6DauNLHe2flHu7f7KKFlYpQo+HL7jbFz8I9rpXKKNxkpNkmvQTueynE0fqen0kZyih6YoItbrX/eu3/gb7LgNhIEApQ5mzFPRYr94dP9/lEoVxmYGVT2l5zgD5KmOt+8VnyhpZadPV4YX2OUy9zLKgW/fKz/Zvlt8Mp+oUZ6a2JYoXybKXvV+vrZAs5ZIWTZxv8Tv0Qq9hIb1OljU6IxvmjrwfelEIahiS+ytbnZ4u3eF+OGKkUWii3yqsnhkRF1ufEE8cSEvm9RPgwydQke1HvvbzI9EFVHg1ACMMQLAweb1Hu8MbhDX7+gim4p4tqWzZGxEGb8ud6czAix1GpeyLc/eslr4vKAe6ZnDKi1sUcZWyBxhICTwe/zC6o/cG1eZyfIZ6bQj7Lmt5+iy1oNZY4oy1tHigDQbqybL55gzj60MbpFWcw0hhJDSwpRlUgd6hZ7OtrHDA2D0Iut1Ly8rK5hzH7tOS0fxoSnL2KTpCxEOrDbSpNlEA2Ac+B3S61xBxmodJyOTZlOrTtfio5N4JPb3f2+lyNVstoN9v4MqEhP5pt9LnUfAmGLf65Bmcw07Tvgi+/48YFZJLvHhah97Xgcha9VsumW1FpgxD+EqUHc2Nv/IKllYJQvMuIcdt2GVKtRs+tgqVWLPawOhHHMe8OHwthEy0/HikPhBj3T716xUpZpOHwPVEnt+h4ThAAHgyvVNC2St1Xk2k7PpIxKGQ9pT16y1thLRh0oOaAmo1Bhoq7Vhsmyi0/TYaqMAY2qlSHWdxQPuBNTzu9h1WwgBVnF8aPJsWgWc1EVaSz4Y3jKVLWQJjLrgOCEQ6qjF9LGKol3seW3s+R1ktKDd3lXsOCH2gx4yRukynSBkDfH9LuZOINN0rOazrWXgR4KgT4JwCI7bJJ7fQQhAzec7VqkCs8qhDTPmORsbH9bWlAUw5mHHaVhjtJpNH9VyRG1g1AXGXLay8q6aTB7K6fEDnSZjFc12gGAKAGClyOR4dEdOJw91khzpJBnVzGyrk/hIHB5+BIx6ABhj12niIOwjpUrsem3abm+q6n28OMvr6/sKxjG/dNN5/9It9/2n9Vz+7H9uM9fHQatHh2uX+Y2gQZqrm/yK44Hf7tPV9cv8RhqbhShMrqQVxiD9N/+t+9xq8PhA7GzfKT+eHcszcQd6ozWizvESgYEAJpT4QY93h7dZo31B5elEzMb3dZaMrZLFtygxf38AgAETRoPGitNffQ9zt6WyeCTmk4cqTyfPsCt9i2DR07J9X97MPlmIfa3HbJUqTV7MbSmSygGmsepcvvjHtNe9LMfH99V48gAo4acPNIuFjqI902lt2LyIcBj03VZjbRlQm6JM9CzaUbP5jp7OttRk9oh0WhtACKPD/g066F2rdDQxM3E6FgdHn6jx8T29iF/sAa21Mlk+Q9YahvGPabdzUU1nW3oa7ekkfbb82pPDRIs9kxczeXj0KXbdJvCqHanOgDlA2Rf/XmfFgDEXGPPYcHDL4dw/60ATOA9IGA5JULVHmTyfl7vbv1BRtIddr0XCcMBXVt5zL1/5qZwc35eT8f0qU41AJ/Go2Hr8LzqJj7Af9Gijuc4Gg5tssHK73Nv5tRwdfYY3L/4J63SvmDybAaUOWGtos7lOgrBvRJnYmdoyRRFVyhR83+T5DDtOg7TaGybPpt+4oAYEmDEPu17LiDKV4/FdnabHVpapVbq0RktgzKdhY4U0W+tAmWfKMhaHBx+L/b3fLCsFbDC8yVfWPrBGKzk5vo+QtYAqopo4Ovw433r0z8QPesQPeqzXv8EGw5vAmI8QQjqJj1Q037FaC+IHfez5HRVFu+Xe7q+BUod1u1ew47ZIo7ECjAfAeWDLMi73dn6lZrPH2HVblQvO6nvupSt/rqaTR3J6fB/qdimdJeNiZ+vf1Hy+Q/ygRxrNVTYY3OQra+/rJBnrLJug6eQBMkZZIZLq3svn+eOH/58cjT6vXIaUOJFactwHOomPEFSLVhKGQ9bpXsFB0APGfNrpXNZZOkXfzLQ/x1fAODjvfhj89G/+l87/Sgiwb9oGqpOJKQXmhaTheDjor7OLnSFd37zuviPLk5K5rkvmp3prffTz9P9NF9MZqhQJvjPOA83vOZaesVBpegb1nyKnO2wT1++4/bUfsUZ7AwEQuZhtFccHH6ksGb0OUe5XjTqjB4AJx5wHQJf9hwBOf7VLXL/j9Fbeo0Fzre4lvicmR5/Xclhv+fxYY7Wp/IKlzI0QWSUaXmUuvrSpNtKUZWLyfG6Ven759mWi1iDUaXosj8af20qXUBkhUptXrG4r6uy4UqUtRaLj+MhKWdTEHWHzIlLjyX2kjdLT+bYpRcZXVw7k4ehzHAZ97DpNRAlDCCFbitTk+dyWZWzKMjZFsdDzxa48Gn0OjPtAiVNlB4HoRXygJtNHahbt2lIkiGCmjiePygeP/0lNp1vPdNeq5lRi1y0BY4o9t2WVKtVsvm3iZIzU6QLNWp4nB4znQAitNA4pB0KcL/2mxEGUciDUAUYdoNRFCCG2snL7O5+jrwAz5hE/6OEgGOAg6ANjPgnCodVaYO6E2HVbmDthlYHDDAEgq7W0QqQmz2dVwBXtYSlzwJiwwfAm8b0OslbrJB5ZrQU4PMDcCYFRl1Dq0HbnIg3DFVMUi6qPsFKIWM6Pf/1mZIVIrXqa6ggghAAAA7ZSpDpeHFbsdJEsW7dIGBLgTkB8v4sQQqbI5zpJRiqKdoFRD3Me0HZ7kwTBANW9ktV3ysIUEOk0Heso2qtsFWVGW+0N7DpNYNyzUub1fbewUhZGqcIao01ZLHQSHxpRpggBAOce9vzesvfTGqNIEA6skCk4vJrbWhcXEcIQQlCpIIhM59lcx/GRXlRamggAWL9/gwRBDyjlyzYQk+czk+czU5axLopIJ8lIxYvDk5nCGAMhlARBgwRhH9VtRtipFjqY8QAYdREAAKH863N9jm8EIKAcuOvhkFB4aqy2bBrLU51kqY4xAAZc2YYCRphi4MsBTwvmgIsxnJnZw3mg+T0GAK4asin3WdjeYI3WheovELBm9zLvDG44ncFN4ofDimk++rw42vuNyuLRa971VwMAAIwZ5k6DNdsb1K81BwEI7wyu807/htMZ3sKO15bxfKcYH3xcHB989H2QNUKmIttZIVJTlrEtigXiTgAO/1o2yypZ6CQZ63hx+LrldapSJxgdxYflvQf/KLadXyFrjTVG21KkX7KeI4QBJdxKVZiyXKDaiUcv4sPy0dbPxd7BRybNjhFCSEXRvinLBCjliGD2hf94RQY6EVg3Rqnx5KFJ0+mX+48BrJRFzSxPkdYKaZBia/ff1WT22MTJ0fM8kwEAwHMxIpgCpY4tRaKns22dVOoYLzhRxmot68C8BIyzkzYJAIxw5VpWt01QwJiQMBjY8iX4qFPqYs9rkyAc0GZzHWFMgXPfFPkMMGZ1KZ+aLJ1YKTNkrbVKFVVwU3xFMUBLBAgQxgwZo40QidW6RBZV55txHxhzWbd7BbteUx3ufyyPx3dfXO+2avi22igjZGaKWjHAfrHABEwo5jwE7oTWaGmKIqrMG2yVeTdGW20UZsy3CFnAhJpKgzIGqYradKQinGlVWmsMVNcUtQhh+4VKQomqcylrh7SiEl63Fgh1see1iBf0SLO5jhnzMGOeXknfA0Loydzm2dRKkVUKtKrUeT4zRREhY2TVNm+U1UoAQggw5hXR7vmzdOIsRghng+FN58Lmh4AxsVoJYNwnvt8FTFgldq/yN012502G0VbPRurg8efF7zB5dtBnv1xt+s4NTkc74lGRmTN7FpwHmt9nAMKAMcWMB7zVvewM139cvxgxa7Q3WbNzCTMe6DydiNnx3ZqItGXkD0VCBTDChBLHa/F2/wbvDm9VL2FMeLN7mbU6lyuVgmhfzMb3xGx8V8bRrv0ezE+dQVO01Ur1PNoVh0ef0nbrAmm1LqAqs0mQMZW13yI+kqPR5/Jo9Hlt7/Ym7HuMXrDvtsayZ/tLfdsmLxbo9L1j0/rnNHimjA4QQoEzDxjzSa8bkMDvYMY8k2YTk2QTnWYTW5TJi2aRn+iVfm7mfdmra9JsYk+ZOX0R1G89QIBxFfgQClUwT6osc+VAZUSZ1KoQGmmtln2NlWOGtdZavdRPXjKqK1mzMjF5NkXWaOz5XeJ5bdJoriKMiRUiUYvFwbdyeFkuYLQWRlVWkF8/uCfDsS8TLeySmlVzFStRZautUqUFI62uM9x1oFfb6OL6B9XEN10TG3Xlb251HRwaZNGJWTPCdZ81JhQRzKAyM7BWKWFEOTWlqObWGGWNVnW/ZmmN0cgii4zRqJaXq/vT4eSglhnf5SLlKycXcx5g12vRRnOddjqXrFKlybLJkuWOCKagtTwp9J7jVDAaqfG+3Pn8N9nPMX61Afr+VnkvS8yZ9dKeB5rfawAAJpRwp8G7g1vB5vW/hooAwJZMalVJGd0tjw8/FrPJAyPKxJofhp4Z1H2YlZ3o2nv+xpWfAsYUAaG1DhnIaPqwnI7vFuP9j2Q837FSpN8nYWEjRCYODj4CQji/uPmhgwnFrtOoGK4i1Vk2k0dHn5QPH/1zubv7a7VYHLzuff4+ATjzaae9QTrtTdptXyLN5qrVWord/d+pebSHTkkCepNR+Yznc5Mlx5WMkMjK7e1/k7PJw2oDa602EhmtwHVbtW2mXRYFnze+ybKpPB7fRRZZ2m5v1vJBrcpOUBW28pX/tvfsU7/fGi1NWca2LGJw3Ab4fq/qrwQEtCItAcbMSJkjW3u31DIGp+6Pft7OKVWaIo8AIaSTZIysUcX29r/Jyfhevfd2Kf90MrdffOsp+rOrERBCCJbksSeDTYwJ9oMe7XQuAXcCU5axms+25NHRZ8CZz3r9GyQIewjOrgz7Q4FWVlUBn168al3MNDZRutBnllQ4DzS//4BKJ425mDsNwIQBwUyXRWTydFpORp/n+1v/Ws5Gd1WaHJllOecHglrdiWBKXcycBhDCAGOq82yqi2xSHh9+ku0//rmIpo/q+fleSXNYKQs1Pr6/9NAGSl3i+x3sOk1TFItK8mf/9+XOzi/F4dGntnyLJZ3eQAAmtBKND/qk3bpAW811cXD0qTwYfaqjxf73wa3GKFmYLJvqND3WaXpsyiJW0XxXzaZbCKGTYMgao2m7vXFCRrIn/3j2+Fk2lcfH90mztU7bnYvED/qIUG5VNjFS5kbKovIExgQYc4FS17tyrQWM+VU2zm1j1+vU0j3WKiWw6z7/wLSWJs9n2sma1HGbxPPaxA/6pBGuYO6E2HEawJirs3SCtJEnz44zJNVV7RrZFGktTZaOrdZSLeZ7J3OLkLXaKGu0pK3WBuY8QF8E8c8fv269sNZqwIQuGfEkDAdIa4E5r+wpXa9d9/laK0Sqk3gEnPvE83tAmYMZ92spMgBCaEVMo65/41YTKPMw50HFvvc6yFqDOYeKbPT9WdS/KLS2GiF0UP+81TgPNL/PqETOC5UlR+n2vb+T8WxrKXJttSqtUrnKkrFKon2dZ1Orf1hBprVGGSVzuZhtxw8/++/F8eEny9YCq1RhlMxVujhUyWJPl3lkjXrrX/pfgzFa5/ncGqOLB/Yf5WTysJZm4VYpUb000rGaz3esEOl3yAyd4xtgpcj0bLZjyzJR00R9wkIAACAASURBVOkWOE5o0vTYJNnE5Hn0LALR2wIrRKLi2GLf75kim2HHbTqbmx+ylZV3EUIIGSN1mh7rLJ0ApS56ltTWN0Dn2QxNJw9IEAxYt3cVGPN1khyp2XTLlEVciXMRBpS5tNe7xnq9a87ahT+gnc4l6wc9hDElYThQi/meiqJdHUW71j6f7GelKnQcHyIATMJwCLxzia+uvk+azTWg1MWUuVapQo6OPjNSZlbJAgg5UzJMRVSKj6xTkXuIF3Sd9Y2fsP7gJkIIIWO1zpJjnaZjoNStCUGnH1/JQufZzEqRAyGM+u1N9/KVn9J2e1Mtov2ljJdeRHu02VyjzdYGJsTBjtNECCHs+Z0nSZZAiIMdt8m6vau0173K1y/8AW21NzBjrrXWkDBcUYvFvl5Ee2oR7aO3xO72HM/GeaD5PUb9sFzqWf5r/XOOGjVzvEQI7dc/PzjUerDLfsd9hNAvXu8e/bBghCzQ9yRr8TQsmd58uDLSaXqMHbfFeoOb4FQqGFbpUs2mj9VsumWUzK2Uee1JX9plPyJCy15GbZUSRsq8dnWzpigiK2VmVtd+RIKghxDCIklGcjZ7bMsyRgCAcGWlSFvtDWf9wh/STu8K8by2ZdxDgAA484AzHwGAKYrI5vnc6oosZ7US31TCrzOUYxI2EOuXNwEA03bnIusPb1VlZkLEwd7vxN7Or21Zxtjz2tgPepUFKuBlT6RF1oK1FhktrZQ5slWmcqmoYI3VVithZN0naq1FutrWFEWk03RspcxNmh4Tz++wXu8qOE4DIYSQNlLOpltqNn1kpciMlDkyWlqlBTJPMu6tRbbuR5Uir74HIatVYY2RphSpNUYT12vzldV3SdhYgfHRpxLG2GTpsY7TA6u1qBQEeIBdt2WlKiqSkZZWqcIaLRFgDJwHtNO+6Kxv/IR1ulew4zQQAGbWWsyqfmWEEDJFEaHzQPO5AFz1wZnv6PiDce0QiBA6a/eg80DzHOc4xznO8dKhs/S4PNj/nZrPd4AxD2gldWON0SbPZqYo5lZrZY2WmjEPT6ehLvK5KYu4Ys/LXCfxUbmz9XM1mz4S49Gdus3RWK2lHB19mvzuN/87AkBqPt/V8WLfFPm86gHV0ogykcfju1aKHHv7v8Wu10bWKCNEZssyNkU+11k2NXk2s1IV5e7OL62UuTg4+Mg+w0HOSpGJ0dGnpixjIJgBJnRJ6tFxfKjn8x2rdWnKYgFpOtbRfBchABUvDqy1FigtjUVWHB1+aqQsgGBqlRYmz6Yqinat1rLY2f4FOT6+L6eTh1bKQhwdfmKVKlU03zVlGVutRHl48Hu1WOwBY/4Tc2uW8k6V65qWmjIX8+ljUx8zskZbqXKdJuNiZ/vf1SLal+PR57XVs0XGaDWfbeX37/4tdr22tUZV1q2V1qaVIrNS5mJv99e2KGNkjbFK5lYbVZv76VqCLNPx4sAURSRGo89NWcbl/l6HeF7H6soY4USOKsumpsijV3Nlvr0gBIjjYodQRB0XCymtQBbZFw06uYtdv4E9a5HRyirGsdTKKmNOZ/X9PMBb3md+jnOc4xzn+A5Yss6DD97/r83/+Nf/m3vl8p89bdv8/oN/KB48+Ify8dbPy+2dX+gkOXXGaalbixCC+v8nzOY6YFx2L9on2dxPataejAEANSv85AW2dPOqPmQtsshYa770ggOMASH0dYerL1j6djnmyXjV9zzzhQsY4yeOC6HlP601X5LIfvJ7bYWv7H/9uWqDk8/CkrFdHfPJtnZpyfq1ffguc/u1Y37CRQxOxnli/6y19kvzf2K6+qXpt8tjPtnXk+thuX/1efjK3Jzjm8E45n6Im8zBbpGZpMh0agzSRr9YgBi2SDtokrZWVsnSlqK0uSxNoZQ9k9ad84zmOc5xjnOc46XjBX2Wn+JP//Qx6sDomS/YOojUp9qBU4z3lW1Ptem3HOPLEds3bPtd9+FZklj13z1z3l7SfJ3jGfACHF684b433OCXlDJSlrbce1jeIRTu6BcIEgfr/OLl2+6PARAoYcvjQ7m797C8gxB6ISvdp+E80DzHOc5xjnOc4xzneMvgBbh56Zb7/u2f+H+GMSJaW/WLv43/j4MtcR9VmsHPBWCAP/5Pzcsf/EnwM+ZgVwlTPvgk/818okbojALNc5X+c5zjHOc4xznOcY63DIwDb/XoSn+NXXR9HGqNtPlGS9VnwyirhLAld8Drr7OL3SFb4w6cQuPrdDgPNM9xjnOc4xznOMc53jIQCixo4FbYIh0pbDk5kLtZbKLTqaTWsAhliV5MDuSOKEweNkmn0SZdxrBzVvt5Hmie4xznOMc5znGOc7xlwBiI42Hf9XCgpJWLmTouc5O9CJHKWmvLwubxXE+VtML1ceD4OCQUnZmb03mgeY5znOMc5zjHOc7xlgEwAsqAUQ5cayuzREeiNAV6QecpJa0ocpNqjRRlwBkDDvjsbEO/t2SgyuaKcCDUAUo5IoQDxhQRTAFjgjCmS9GGJyQWKthKtwFZa5CxBlmrrTEaGaOtMQoZLSsRWi2Q1tIaI63Wp2IyvkoAxhgIYYgQDpRyIMQBWv83YIJwpfWGADCgpeyGtbaS5DDIWGOt0UhpYbUWVqnSKiWs1qISEn47mYNACAVCOCKEASEcaPUbYUIBA0GAyVLmo74+vliQ1bIeX+jD1XNkrLZGK6QrgeL6GhFWaYlMrSf3Mo+HURcY97Hntk4s/M4IVhtllSysEKnJi8iUZXqW478qAMbkS/cDJby6DigHAHza+6G675WwSpdWqbI630Y+KbVzjjcbUN37DCjliBIHCOXVn2FWXQOVVM+XfL2tNdW1YEzlumakra4DYZUqkValre7/N9rN6UTGqDp+t7KDJBwIYQhXFrz1sdeSRqiSVnoFbttWqdKUIrFlmVohUiOf7laHXbdBfL8LnAdAKh/2r42ntUTaKJNXGqlWPV0P9VWBhEGP+EEPUeIArt81T6LSfRVWqdJk+Uyn6fQZwwEAwhgjjCxCxiDzTeYCz0elKIUAIUyqJyWc4fn+3gWay5sIu26IA79HwnBIwsaQBH4PXLeJHacBDg+A8wAwptXNhQlgTCvtNWustdpqrZAxykpVWCkLI0RiRZmaooxNUS5Mlk1Nmk50nk9Nns8B4+yN0/4ihGPf7+Ig6JIwGJIwHOAg6JHA79WCyS5Q6tRBeHWTWmvqgLK0qjp2nabHOknHOk5GOo6PKjHdIkKVq85bgy+uDSfEvt/Fvt8lQdBb/jv2vHblTFFZtQGpH76VbRsgi+rFh9HW1G4XUhZWyMxKkZmiXJiiWJgsn+k8m1X+ztnUCpEAxvplBebAmU9b7Qu037vmXLjwh2xl+M5Zjm+KItLRYl8eH98Xu7u/QgjdPcvxXwUAAIAx5+Sch+GAhMEX9wOlLlDmAiUcUerUAQYga/WT94KVMtdJeqzTdKzj+Ki6H/KZKYoFQui1v8TO8XwAAGDPC7Hvd0kY9nEYDEkQ9HEQ9LDnNiv7SOoiUi1Glp+qFhfVtWCUKkxeLEyaHuukei7qJBmZvFgghN5soXEADIQw7Ptd0mqtk2ZjBft+j/h+F7tuC7tOs05MVItxjBmqdC8RQi833NRxfChH4ztyNL4jx+N7CKG9p21LO52L7rUrf8X6/evY81pLR6EnYfJibvJ8Xm5v/6J4+Oif0BmxqL8tAADcG9d/5F6/9tckCAfY4WGV9PoCVmthsmyq4/iwePT4XwDjf3nau8NaZLVGSiukCAPmBaRBOXbQC54nyoC5Hg4YA24tssYgfZaRzLcKNLlHfeqRwBqkjTLKKCuNMtIYq8/auui0AEoZEMyw77vAqEvCxgpttzZIp71JO91LtNlcx4HfI77fAc9tYddtndxMGDMgpJqLKlOnrNbKKlVaIauVVZ5HJs8jnWVTk2YTHceHOlrs6XhxqOPkSOf5HCkliOeVtX2aOI3Q75nOAcYYYUyrbA11abvdpq3mOmm1L9BO+yJttzdJq7lOms017DgN4NzHjHmIUe+J49dWytxKmZmyTI0QmZ5HuyqKdtV0tqVmsy0dRfs6jg9J4M+tVOXrONbTApYr9+rBWl8b4aB6wFZzQZvNNdJsrJIwHGLHCYHzANhypU8dRKkDqBZHtkZXWcvKns4IkZqijG1ZLHSaTUyaTnScjFQcH+rF4hBHi32TZVMjZYY9L6+t5c40IAHKHNIIV/jKyjvuzRv/ybt+7WdnOb5exIdyNLoDDg/VbL6N3pJAc1m5AEo5DgMXe36HtloXaLt1gbTbF2mnvUGazXXSaq5jzgPMuQ+MeYgyDwgmCCFApnJBsVJmRojUlGWi5tGunke7ajbdUtPZVuXNHB8R319YpZY2gfo8w/lmAKqcDwGCGVDm4EbDpc3mGmm1LtB2e4N22puk3dogzeYaCYI+5jwAzvzlYrxO5oFVqjBCZFaI6lpIs4mKol01m++o2XRLzeZbehEfkUbjyCpZWKmKugr2RlS76veCQ8IwAIeHtNW6QAeDG7TbvUxazTXaaKziMOgT3+8DY1WwXT0DOQAsqzwvNdCU4/G9wnvUtsYoHccj9IxAkwRBn6+v/8i5fOlPabu9WduPnsBaa02SjHSSjq3RUhwcfgyEzJAx5nUkhABjApRSNhy+47/zzn+hnc5F7LntpYvTEkaIVE0mj+Ro9LmazrbKZ+SSrbFGlqaUwpScY7fVpQPPxwHGcOq2SIwB3vkPvt/o0B53saeVVVJYYWuL1LPACweamGCy+l7ng9V3Ox+WqYzzWTlKJ+VRelwclImMMMXCqFd7YwHGmDSbK7TVWqe97lXW710ljeYqDoM+9rwOdqtyInDmAWUesDqAACB16voLRwOMGQBULyhCmKXUQY7TwJ7bsapRUClzK1VuyjI1ZRnbolyYOsjQi8WhXsSHaj7f0fP5nhEiAYDkVV3U4DghCfw+abc32WBwnXY6l0ijsUoa4QC7bhO7ThMcp4EdJzzJ1lWevBRwncHB2KDqhnCA8xBrLbHrNWmns2lWVt41RRHpOD5SUbSnprPHcjy+p2azbVuKGCGUvYrjPC0AY4IoZbTVXCPN5jrtdi+zTucSbjRWSBj0see2gDshdpwQHB5izv16Fc9PgpTqdxV0ILBgASOMCSKYAiEcOA+w67WtViVpyQtWyNwIUS1OijI2RbEwaTpW8/mumk4fy9H4DkLo4euemx8CsOs2cOD3aKdziQ0GN2i7vUmajVUchAPsOk3suk1wnBA7PFyWUhEmDEhVOqwGqZ4PwJgLjhNiz+tgz2ubTucSW1t53+ZFpOL4QM+jPTWZPJLHx/fUPNqzZRkjhPLXOwPnQAghhDGtstjBgPUH19mgf500G2uk0VzFvtfGX1S6GsC4d1JCr94BFNXZIQAAjDG1jHnguk3seW3cCIes379u8jzSeT6rF+V7ajy+J8fH90yWzYCQ+HWX0wFjoN3OBdrtXqG93hXW7V4hreY6DsMB8bx29V7gAbA6wF4eexVgft1J6Q2AyfO5HI3vkiDoY9dtfTXQRKh+JwLg+j24UlmdljF6xdUHwBhj121gz2uTRjjEQdADzoNvLPcrJXS02BOHR5/qJBk/qxSuFJLJQs/iuZ76Ddy8eMN572CrvM84OISC0urZwSImgAlFpN2jw81rzu2wRbpZYhZppGZSWnkWx47Qtwg0ASPcudS4deUvV/9LNi1H853kwWwruWO1VVZbLUFlmOKyLjNWxeiX259GgFJOW611trb6gXv50p86Vy7/GW0214Dz8KurhVOPe8rtrNbKal2aJD2Wo9EdcTT6TOzs/KqsekuMFiJFL9iY+6JYWn+RVrNNO52LfGPjJ+7VKz/la2vv4zAYEM9rv9B4CH1Z1qCF1p/8T52mx2o22xb7Bx8BpY5VqjQoQYBxWbcevPZMTr165MB5QDudS3x19X1+cfNDZ3PzQ9JorCzLQ996/FNsU/X1Wq3j+Ejs7/++3Nn5d1MFIOeB5kvE8n6gnXaXdrtXnM3ND91rV/+SDYe3SBgMsOs2X2g8Sp8p86Hj+EjN5jvl3t5vECHMai01shYwFm/K/fBDxLLHEDh3caOxwgb9G+7VKz91r179S9JsrJIg7H9RGj8FCGHAmPe0v7ZaSzWbb6vZbKd4+PAfrdZSAQJrtASMs9dV8QFCKKKU0k7nonPx4h85Fzf/iG9s/IQ0Gyuw5C68ZpzcI3b5v+e7SJk8n6vx+K5shEM2GNxYjgF1UAwAAJwHiPOANBorpNlY1XFyZKUq0atucwEg2HVbpNlcJ2E4IL7XxQ4PntzkZA60FiqK9uXR6DOTpGP0jHnQyopkrqeLuZ60OqTfGdDV+x+zX3oBDo1BmjIQxiB9YkBa782y65Yx4IwD7wzp2oWrzi2MEUkXeh7P9UQJe2atcS98gVmDzPGD6OO7/w8QAARGW4UJsO7lxu32ZnDdKCtVqfMilvNyIeZFLGeAYbakUJzVjgPGGDgP+PraDTYY3GSrK+/wlZV3abd7iQRBH1HqftNq4cwBAEAIA89t0l7vCgKMTZKM1XS2ZYVI0EvsaVneULTXvUx7vatsOLjJhsPbrN+/Rrudy9j3us97SX6r72XMI43GKl9DCDtOwIaDm+Lg8BN5dPSZXiwOAODgdb1cK2IM82in3WMrK++wlZXbtNu5zLrdy6TV2iBh0AfOvCd6jl7izgAgXCk7WK1LK2SOtDmzVeJX8IUv8g8Uy8CC9ntXWa93lQ2Ht9hwcJv2e1dpt3sZe14HyLdfXDz1ezkPSLOx6qD1H2PXbfKV4W1xePiJPBrf0YvFAULo8Ky/8xzPRt2H2ab93lXW719jw8FtNhzeot3uZdJsrGDHCdEZsmrrL8XY8zoUELj2yl/QZnNdHI0+k4eHn8jp9DF23YO6l/eVADAmwJjLNy68y1dW3mVrq+/x1dX36pJtC3BNfHoTULWrSVO3I1kpc2vMM7PApiwWcjp9RFqtDZ1lM6a0QAQTBPC1uIYEfpcNV26bolzYsogRQslLO5ZvABBMSaOxwtdW3yONxspTYhOLjNFGiFRHi301Ht/TWTpBz3isF5nJDrbF/UYn7934kf/hYI1v3vyR/ydGWz3ak1vHB3I3i3UkCpsrZSVCyGKMCHex5/k47K2yjd4qvXD7J8GfdwZ0dbwnt7fvFZ/sPy7v5qmJz+r4XzjQNNpoysnHs63kXth3V8Ohd6G55l9sb/rXnJC1ABCWuU4XB9lWdJA+RnsplLGIUBVNn8mLsOq7wxg7POTr6z/ybt36n6oga3CrLonjV3YD1d9Vl+cb2HEaajJ5hH3vY0jT45decgDAtNu97F2//jO+ufEf+NraByQMBqgq/1fl8LP+SsZ8QqteR7668o5OknF+/8H/gP+fvTdtjuPKsgTf6rvHvmIlwV0StWRmKbNneqllrGymv8zMb50PMz02bdXVZpVWmdmZKSklkRQJAgSBAGJffPe3zQf3gEAwABBggJSyeNJkkiWd4S88/L13373nnkOwkYKM0weuOYt75tgQIkjXXVwqrxu3b/+tde/uPyInI/rPuynf4eIKs9ITgIrzVDIWXk8JLTvFgSXOsZ8lstomprXaLePO7b/XV1e/0FbaD5FplsBcZeE65oOmWTg7fDVoq/WJmE4P0LPtf4aE6ImSAnwINN8pjpv+TLOkra5+bmzd/PfaSvtT2mw+yNU25p2+y30XIETIMkvINAqkWFxVm5u/ofsv/xiZRhFgRFWS+ACAdxJo5tx0DDXN1lZXP7cffvJ/kEr5BimX1+GPSZifTDlcSckVY5FK0kClia8Yi4A8X8lFxomn2CjhxdKaDKOREjyBkOinm2sAAABZVlVrNu5L3+/zwXD7+r7JGUAY44Lboq1zAk2llJJSqDQN+WzWYf3BU8V5cl7SJolkcPgieabp0Fy9qd91Srhy9zPzy+Y6vbnzKP56+7voT8MjduBPxSiNVSSVUoRC6hRxuVwjza2PzF9sfWx+Xq6TVqlG2vvbyZOXT+PvD3bSp+810AQAAMElk0LxaJoOlVJKMJmykAdmWa8ZBVomOjatit7QbOK6DXOtdqvwUThO+5VNdxDP0nHis6lgV8/sQF23SaV8gzbq97S11V/QVuMBdtxGzi1ZeEr9UY5GiuOuaik5EJLP/3QucZLJIOFc7iLnMh7f/NXAcZ5VVFKq7LNZIsJgwCeTlzKKJuAKdlAXfv+8wYU2Glu0Vt3SNja+1NbXfkmrla2cXLwwi3nihVWK80QxHmfyTILl44QAIgQxohBhCinRASEGPHHj4/tDiIFSCCBEkGWVtVbzYwghQrpuQ0IMWq0c8Oms867kJBClBjR0lzYbq7Td/kRrtz/V11a/wMVCG2qaDQkx4BsG/WoetCmV/aZSCZAdKyFACMETQfx5nzn/A5WykE+m+3ww2JZRNH77b3tqvIxHfDY7hAedrxVQgPX7TyFCBCJMwClJL5j/k3FzEUaUmth1mshxahAhCjCmb/qcfirIO8oNrdncIrXqbX1z89f62tovSKW8CQ2j8EbzIWvSyuZDviZktFyYzYcTUjAnb5z/CwEIAVAKQYSosp2attJ+CBHCUNNsY3PT5LNZR0ynnZ9KY8hfKyBCELtug1QrW1q7/Ym+ufFrrdX6BBcKbXRe2Xs+56UUivE42x8yaTKQvQgg42wiOm+2PC45n1wXQS6HBiGGGFNcLm/om5u/hpSaiGqmttJ+JKazQxEEw2t9Dppm0VrtNm027utrq78gteotbFkVmDW6vdrlLGXe+JqGMgxHIgxHirFIpSxSUgqglMgbgTAkREeaZkFdd7FtVZFplmAuF3bWWJSUEkjJZZL6fDJ+KaazjhIiUZynIJMHSzJFBx7z2eyQDwbP+Gi0K+Pk/O59KYUCIBVRNOHj8Qs2HO2QYlaaPn1plt2u3SLj8Qtk6AWIMX5XTUEQQogsS8Ou26TN+n3kOI1FcYriPBae32Oj8a4MgqFiLL5oveBMpbORGBzupdvb30V/sl1cdIq44pRwZW1Lv2dYyA5mYhJHMuBMMaCAQhhi3YS25eBCrU3XSjXSDGZi2jtge9vfRn882EmfTAbsKNfjXAquFGjmneUKETRjEQ/iKRt63Wjfrhmt0pq9VWhbm1ZFb5olvQIhQBBCONiefjd8Pvt+sh8854mIAABXDjSRrrtaq/WJsXXzf9bW1n5B6/U7F5YBstMCV5ynKoqmMo6nuXRRpJQSQCmVdSZiDVJqIk2zoa7ZSNfdVwLNsz9fZhpgyUxMZ4d8MHyWB7PL5+VACCEhmtZufWLev/ePtNl8QOu1u9AwXIgv5BxlEk4pC2UUjmWSlSmAlDxX5CKIUgtpmg1Ns4SyjfXcwANSatFG4x4uFFegrruIana8t/d7EYRD8I64MFCbl/PbD80H9/9XfXPzNyhTFyhcKYM5DzKFSBTjKQBKAggRQIjk8jc0l1o8PyhTSqk0Dfl4vMd6/SciDM/TRLsSVJqGYjx5KX2/n/Z6T5Cuu5BSI+ucP/VvSgyU/zcg1MC2VdVWVj7XKDWAptlv9K7/1JBzsbTVlc/Me/f+kTTqd2m9fhdq1L7EfAhkFE3yRq7oeHPFiCKqWUjTbGSa8w7Rc39zZOiu1mp9THJ1B0Q1O9nb+53w/R4A4EOgeU3Iu8sRLhTaxq1b/9G4sfkb0qjfI6XS+htRJjL9QibjeJbtD2moGIsyWezsMIMotZChF4BpYnhxVhCSQqGNTLOELauKtKzZJhF7vwMAXHegaWsr7U+Nu3f+QWu1PsqeAaYL6QJSCpUkvvD9Huv1f2D9/lMZhEMRBINjndh8b0SGUcCOUyel4hptNO6TKsJI18/vhcglwkTgD5K9l39IXuz9TsXxTOaNtDJOZoqzBMy1mhmf69Oeu3fkQSLXms0ZH412WX/wFFFqnhVoUowpHwy2kWEUIEJUKcXAu5iPGb1Ow67TpI3G/XxPej3QZCwS02mHD4bPRRAMlRDsokCYM5XOxnwouOI/fBX+jjOV3vvC+nflhtVub2q3W5vaLSWBlFJJpcA8FoEIZRo1EGXx2cHz5MmTr6LfbX8b/vHgefLDbCwGgqulVd+uFGjqLi3qNnXLG46rWcTBFOkII4x1ZAgmU78fH6YBmwX92EYUUUwghRDCyg33nkhl6vfiDgDg0qLPECMMMdFIvVanjcZdbXXlc1IqriPtVVItAFnnluI8lnE8E77fl2E4zHUOPZWmvkoSX3GRKsHnbfwqO4UiAjHRISUG1LINJpO7oSbUqIU0zYKaZiMt71Sm1MgbABLheV02HO0K3+/lotbLz2YSouFisUnKpXVtZeVTbXXlM1worCDLKp3eVNVc85HzWPjBQAbBUMbxVMbxTEbxVMbRVDEWKs4TIJUAEEAAEYaEGIhSE5lGEZlmERqZHBS2rQqy7SokxMwzewgAACCEGGaLjU4b9bsQQiQ5j6Qf9LHjHMg4nirOr4WbmIuvU1qrrWkba7/SNza+pM3mR7hYWIUY44VE93zyzsWBZZJ4Mok9lSSeSlkkGQuBECwTp5cMCJHmGS4IECTHsli5/FGmvUkNqFE7fz8cqOs2kFKqNA245x1Jz+uKIBgqzpd2Sjz+OtlhJgYAxBBjT0A4l7jSIMY6yMebGxj8KFROiI5dt4ksq0KqlRsIYwoBsMBPqKR2EZCmmaRcapBqdUtbWflMW21/hhy3kXPQTmduJMhLdCIIBzIMhjLKggoZx1MZxVPFWKQ4T4BSEkAAc3kkHWVi+CVkmpk0mmEUsG1V8/mgnxT3hhASqOsORIjQZuMegAhJxkLh+T1s2z0Zx7P33YX81whkWWXsOk1tpf1pVipvPECO21hkYJAZb0gho2gigmAgw2hy8j2QSewpzhPAeZK1TWTBAiRER4buItMs5etiAZlmGdtWFVlW+Vjwf57lJETHhOigXFqfr7MyjqekVPLygHZp5cn8fhRpU4IIEwAAIABJREFUmkNq1XXaaNzT2u2HuOC2IKXm6UqFTNNQRtFEzLwjPhxus+FwR4wne3wyeZk9h2iqhGRKCg4hQgAjOj9w8aGzw8eTPVIp36DV6hapVraQYbhQ193XsnW5vBQAAKgk8cRsdig8vyd9vzvnZIJMt1pcJcMok8Rjg+Fz7DgNUiqu0flnnPi+kBANIISQY9dwsbiKC24rT4Qs9fmfBsSYItN0caHQQo5Tx5ZVBoRoi5IfKk0jPh7vsX7/BxmGwzd5FjJL+jGqI+9on+0ICQRnioWemLolUrEcVNR0ZGAKNYQAAhAAJYHiXKU8VWnoy1noienu4/ibncfxN92X6U7giQlL5VITRJeXN0IQFdfsWnHV3iq0rA23ba1jgjQpFE9m6djrRQezw+BF4rMpC7mPEMQQQ7zyWfXfrXxa/U3ssUnv6fTrqwwWIkyhoRdIwW3Reu0ObTYfQKq9JtIKQJaGlmE4YoPBdrp/8Me0230sZt6h8P2+Epm7T+76I9Ux23buFIQQQBDDfJOB+SkJOU4j018rtEmpuE7K5XWQ6a45irGITyYvWbf7KJMkuJ5uU0ipSeu1O/rG+t9oqyufkWr1FtQ0axEv5TjLGobj9PDw27TT+ZqPRrt8ON5VaeLLlEVASgaUlEoBlRWI8hIJRgRquo10zSbVyhapVre0VusTbaX9ENk2yTN6r04WhDApltaQaZZzGaQegACyIU/BW2Swz30e2SnbJbXqLePWrf+kb258iR2nkUtznBswyTQN+HSyz8eTPT4a7fLxZE94Xld6fk9mWqIRUFK80mQDIYIQYUCIhgy9gEyziG27jh27jguFNi4U2rhUXCXF4poSkgkvl7sKw6FK0+A6qBSvfikpAYRMMSYU5wmEMJi7HB0HQydccHCh0NYajfsqTUO14MD2UwfUNJs2Gvf1jfUv6Ur7U1Kp3JxLl7128XFmJRiknc7XaefwL3w03uWj0a5KWSjnmf1X5wOaC1xDXbORYRRotbJFqpWbWrv9kK6sfDovH4LTrxvGlJTLm8g0yzIKx8LzuqDXe6I4iwEAHwLNJQO7TlNbX/ulvrH+JW02H+BiceXMZkghuGQs4uPxi+Sg8zXr9Z7w0XhXzLxudvhmceYElc/XLNREACIEKTGQpjvYdRqkWtmi9fpdbWXlU/qjPNprQQQyzRJtNu8DhJAIgqGM4ikbDp+DJQc6kBADFwotWqvdJrXabVqrbkFCjEXXqjiZ8cHgWdo5/Cbe2f1tenj4F5WmoUpZqGROIclcsRSAEAAIUEbBwfTEM6gbW1v/0di6mZJKZZNka8jpQBPnB3IDQIgybdrEF74/yAN+/jZmJzJJPD4cbDPLKGlrq18sfjAQQYQoMs0yqVZuitmso7hIwXUHmgRT7DgNUinfxLZdh5SaZ1XYJGMhH49f8H7vibxk5UswxcY9dhTOxHTUZZ0fvg5/X6nTdqVJ23YBlTMhd6gBAIDkikeh9ENPTkc9djjq8Y435sPZWAziSAYsWV63+RyXz2hCAKlFHLtqNDWbuBAAKJhMRSqTJGCzaJz0/V50EE3SQTxLJ/nZDpXWnVuSS5aLF1wJkNJcbLu0il23tUg3a24VKTyvy46636edw2+Sg/0/s17/ifD8ngzD0Zu+1DkXkkCMNZw1lNS467ZwwW1lws/jNew4DWRbFcV4nHYO/8KOut8LP+gvO8iEGGFIqIELhQZtNu7rGxtfklr1NjLN0ukTpJp38EXRVIwne2w4fJ5vrN/w8XiPj8d7x/zMM8YJs/K8DgnRhef3xczrqiwbHJBa9RYplVaRaZaPtSazv4OgobvI0F3aqN/Vg3A0zxpAQuLrsK1Etl2l9dptbWXlM63V/IiUy5vwpNPRyeciBFcysyOTftDn0+k+Hw532Gi8K8bjPT6Z7gvf70nf7+dOMAuJ2HNrT6jrLjKMArKtKrbtWqbV5jZJqbjKi8VVJaWQQTBg3d7j7IBz/VmsY67ZG2bTSbFIZZL4SkgGlijQe93ILGaJTiqVFm01P9LW139Fq5WbyDSLp689ng9hOOLj8R4fDJ4lB51v2OHRX7L5MNnLrOrOmQ8IQUiIASk1hef1yMw7kkkayJSFpFK5SUrFVWQYhVfmA0IYGkZhHgwbYTQGCigZhkNICP8527j+lIAo1SEhun5jc1NfXfuCttsPSbGwgnTdPXmdUkplHFzBRCa0vpceHX2fdjpfs17/Bz6e7Mks+GHnzdX83TOwbVeF5/VkEAxUJubvkVJxDReLqyDXKD6d2VS8vKmttD9VaRooIRiitDs3CFnKs9C0rH+h2XxASsU1tEDabm6fzGfTTnpw+HXy4sXv0v2DP7N+/8llTAYgQljMZp2swgWxriRHTpZ4ARiTExn+Y34ntqwydt2m8LxuTlt7631SMZYI3+/xyeSl8LyeiKJJxomlxwH2nEeNDLNIq9UtMfOOxMzrAgA6b3v/8wAx0XHBbdNa7TZ27NoiapKSUgAhmYriqZhOD/hosndZdQIplQRZlTggFE76B3BvWOX7pUPWtFxUNG3sEJoFmkIoHocyiHw5mwx4dzLgXc4UW3YW8ySuUDqHAGNEiY7NYJgcDZ7N/pJGPBCJjFnMwzTgHot4wNOMSKqkUhBBGY6S3vC598jrRgeCyStFzFCjNimW1ki5vAmNVxeRYwjBFGMR6/d/CB89/n/Sg85Xws9t4jLJhDde2JVSCiIklFKJ8IOhTFJfeH4P9gdPkUYtqGk2tq0Kdt0WgAjx6fRATKcd6fv9q3y/8wAx0bFt12i1clNrtT7R1la/yLppF6TgM57RlA+Gz+Jnz/5bsvviX7nnHQnP66okDRTj0UVlivy7M6WUzBqbwrGYzQ7To+53+vraL407t/+ONhr30Rmis6RU3jBuYQoET7NSTDKTWdflclPy5fKGeef23+sbG1/iQqGdOz0tPDEqLhKZJj47PPo23n3xr6zXfyJm0wPhB4Msw5sGc8vR856PklJChBhIEk9wnsg4nonp7BBqg2eIUjMTAdddgBAGUkkxz2Z9wNIACTGw69RprbqltdsP9dWVzxZtqgDkFIk4nrFe70n89Nk/JS/3/yhm3pHw/Z5Kk2BeKj93PkipIMYpUEry8fiFzAwaOmnn8C/G5uavjTu3/pbUarcWzgcIIalWbkJKDMVZzEejnVzY3wfXQK/5twao6y52nAZt1O9qaytf0Eb9DtQXaqUqyVgoo2ia7L38Q/T02T/xwXBbeF5XROFYJak/dzk794ZZZjzOqTCJ8P0eG4536UHna+PO7b8z7tz+29x5zT6dWUeGXtBWVj6FhGgyDEd8MHiWG3sEywi6oK47tF6/o620P13EVQQg5wKG0Zj1B8/i3d1/TfZe/l4EweDSTlZKSZmmIet2v5dRNIaE6qRa3QKOC5EOndOZXUiIjkulda3dfig87yivOL19QkZKppLUz01TOmI63ceO0wQnAs05kGkUSa12h3p+jx0dfffW974AkBCdFIurtNm4hxYkxgDILCez8QcDPvOOuOcdqXM83i+CFEAopZQ3EcMkkiGhUMMUUgSPS+dScMU5ByyNZcRSmUh5vevQVTKaAGtI12zixtN06PWig2icDFgkfMFEqiRQEENEDWzbNaOMCaLFFZsiDEkwiI/iaTqS/God55BQA7tOA7tuaxEvE4C8ZB5FYz4a76b7B39KO51vlBDsqt2eeWAqQaa75YNTJG5kGC52nAakRJdJ4qsk9VWaLt0hB1Jq4lJxjTYb92mtdptWKjdeG2uezVJxPOPD4U5ycPBVvLP722Rn918UY4nk/FIBfv7MBABgBAAYIU3rw+HoueI8QZZVgZjopFzayBuGwEkOELKtmmYaRTGdHtDO4ZYMoxHIPm8pgSYkRIOU6NbHH21q62u/pK3mR9mY8Ku8vExtQAIphfBzYe29l3+It7f/G+tlXBiZJJf+vfL3Isn/eaX8cmwFmnUq60oppRj7Sbkm/dyBNM0ipdIGbdTv01rtNimXN05fM7eLkFE05cPh83T/4M/xzu6/pHsv/4fMlCcu9S4qIebzIQEADJGm9WF/sA2UEsi2KgBhQsqlDZRzpU/MB4hzfhYfjnZotbKlkiRQsxkD10Qp+bcEbFlVWq9lesrV6hZx3dbJPz/RUc5zPuLzfA3472LmdRRjyWX2hzwg4yDfEyBCfTGdHfDRaBfquoNdtzGXElIns3oga5wk5dI6xIikh0ffkfLRd3w2PRDZnvFWQRdECGorbSd3wrqLLKuy6DqZJJ6YTF6y/uAp6/Ye8eFw+yp2qflzTSFCB8Lze7TZfMBHk71cscR4LXuHsYYLhRXaqPvJwcFX4BxrxUuNI1+LSbk05dPpARsOnwOMNey6jdPXIk1zSLm8LqazG8iyKpBSHWSVrqVXcyBCiFTKJi4WV2itdgdb1uJAk/FY+H5fzGaH0g/6MoreSgIr520KkGc43+azloXLOwMBAImBTbOoVUQqkzTkPsKQhKOkn4ZgJphMqYGt8qZzp7Tm3DKLWsUoatV4lo7iGRsrqcSVS+cYkczyT3fBGd2xMkk8nnlx92RenrhOXpziPJZBMAAIESVEqoRgQC5flBvpukMbjXuZo0OhtfCizG+c8+m0Ez97/t/j3d3fssFwW+YZurcdgxKCgSTx+WD4PPrh6X+VSeKbd+/8g2bblTyz+uPCkbmzUOy6TW1l5TOVpmGSJgEA4HzJijdEXoJpkXJlE7uFFjKM4hkd05l0DWNhetD5Knr67J9Yt/uID4bbMoom1yK/lHWsc5XrogEAFPjQ/LFUQNMo0Vbzgba6+hly7IWZm9xvXPDxeC/64dl/TV7s/Z6PRi8k5wm4QAz6TaCESEGaKtbvP40e//D/yiTxzLt3/gGZZvG1+ZBJYkFcLLS1tdUv5goV4B0LR/81AhcLbX19/Ve0Xr8Dz+IZZ0LYUXp4+G30+Ml/YUfd72UYjhTnF2cwL4JSUjIWgzAcpfv7f1ScJ+bdO3+PbLuKDONVLnuu7AE1zaa16i19c+NL8PLlH3Lt4SuP4/hwq2k2duwadp0G1OjC/gUZhCN21H3E+/2nMo6nVwkyX0G+74iZd5QeHn4DCabItirglJwUxJhi264ozjeQaZYgRAhCuLReBsV4xEfjF+nh0bfYtCqg0bh3+pq8fF/BBbeJXbeJbbual6mXOg8hQghgrEFdd3Gh0CaVyiYyjddoPQAAoJLY48PhczYYPn+Xgv7vElfjaJrEscp6AygAeCwicCyVnODYYxOiY7O0at9sf1L+G7Oo14ySXh3tzB7xxIshzgSsrzTazOnAnHuxLrpEpSzKuwjHb6JD9bbIu6mXEjwtwtztRGu3irRWu5MJsjv1RY0uSog0k9KZ7MUvXvxrsrP7LzJJgmUFUzmPiCNNeymTxANSclqr3aL1+h1IiA5OEO/nTSfYsRvaSusTGYVjNhg8gwjtL4OXhrIsxl1aKd/AjtNAhvEqleLY0kwpGSdT6Xu9dP/gz9HjJ/9FTKed63w3TvEkP2SsloiM8Q2RvrZeoo3Gfa3V/BjbdnXhfOA8mw/D0U68s/vb9OXL/yHTdPnzQdd3ZRRPAASINhr3SLlyA5Ks2/94zNn4EHbdlray8pkMwxHrD55ChI7eeqP/N4q51aj9+Wcr2trq56RauQk1zXztXVBKKsYiGUZjdnT0XfTD0/9PBsFIpam/jLXoRGaPp0fd7/lk2sGOU9fWVn+R89yNeQn9mK+oaRapVm7qaRoKb3aUHnS+hhBeqesaADDfGw2k6w6yzAq2rMpZzZAyCses33vCh8PnOZ3praCUUhBCIXyvy46Ovseu06LNxoNFY0SmUSJSSWwYBYCRlq/TSzmEK85jPpm8REdHRa3RuK+kFHNh/hNcWQ0SomE7b9503Va+Dyz3wIcQQZpmIdMq44LbxMXCyms0t/y3llkF8jkfDrdl8vaBJiYQIwQxwgAjlDk4AghgXjJnQiieSx4dv2t5Lw0EeWe0ksvtMblCoAmhUdDKxTVnC2tYT0LuEQOb5Q3nlt+LOt3Hkz9LLhm1iEMMbI12vcezo+5Ls6TXiqvWjcRn08m+f33K/BgRRDUTEqLnTiA/bxCiI113cKHQwqXiCi4W2lDXXpPrAAAAGQRD1h88Sw+PvpUz70ilabiMzM1pKCGYTJIZn80OWa/3BBcKbVIub5JScfX0tdAwi6Ra3SKT6QFynDrUNAsSkryt3BEuFNra+toXpFrdOs9/GAjBWa/3JNnZ/W16cPC1jKLJG/GwPuAnCUipAXXNwQW3TYrFVewWmlBbrDwhfL/H+4PttNv9Xvpe71gvdslQQqQ5T7fDjrqPkGVWSLm8SRZUHpBplkmtdpuMRrvItqpwQm2IcfxB7uhygAhBqGsO0nUHF4ttXCquIcuuLtJNVZwnfDTaTbu9x3w4eq7ieJbzcpcb4GeauZFUSvLRaDc96HxFOb9PyuVNeEpiCSJEsVtoAakEPuj8GRlGUWb/f3yVg8c8U4csqwoJNc5zPpJpGoiZ1xV+0M8VEN4aSilF63WPT2cdGUbjzAjl9WECCBHAiEJNs5FllWUUTyFCwVICfs5T4fldRkcW97yuTBJv3tAKTj0LqGk2qVRu0GbjQc6HXCqHPqf2rNNa9RYyzbns1aLfQ8k4nrHhaIcNh89lnLxVoIkwRIUSrrhlUnOKuOwUUInqyMAE0iiQ3vCI7U+GvBf5YgYAOKZz5Z7nupRAcK44JpBLmekuvM145rhS6dwo0HJxxboBAADBKOnaFaNh1fTW7CDYmXXDl+Ew6VGTONQg1uiF98P2Px/+X7f/buV/b35U/mU4SnqY4qX7bx+PD2GaZT2JAeE78Dq/ZkBCNGSZZeTmne6FQvu1i/IFUwThkB0efcuOjr4Tnnck0zS6jjEpIRgAgJFy+Yj1ek+yAJJaiwJNZOgFpGs2mUz3se3UkaY5MltU3jLQdFva6toXpFq9uSjQPLZ8EZKxbu9J+Ojx/83H45d5ufxDlvFnCkiIgSy7gguF1lwP75ULTgQP0vP7aefwa3bUeyT8oH9t8yF7nxit1ztpt/sI2VYV6boLFgeaJWQYLh9UbuBMGs2SWUblQ6B5OaBMXsdtkoK7QkqlNWyf4iQe6+WKhI/Gu+neyz+w4XDnunRM82xkBACIjFu3dtNO5xtIiYkdpwFOa3liTHHBbUFDd0mxuIoMo6h+5A1futKSzQuzgmyrAucyQgsGCEDmVCY870gEfh9ckrd/HmSSeGI67cgoGikpXltjj7O5GBGoazYyzbLKm3fBEpriFOcpRKjHAQDC849knHjIyCTwTkuPIU2zaaV8Q3rNnhhP9t723qeR7YeldVqtbiHTLC9UQcnMIvJAc7jDh6Odt8kwo8zTkLhlUmtvarfqK3SjvkI3LAcXqI6MyYB3t78N/ySlkiLzPQ/zvwdNG+mmjVzOAYOJjHgKQC5o/34CTQWASjw2mR2Ge4Pt2XeHfxn+XndpsYGLRDCZAgABxFmZQAolVK5FJrlkgolEcsWvWh5QPHdtiKKp4mLhBEGG7uJScY1UKpukUt4khUImxHtNm8x1A2maTUqldVIubZyVyZxDRtGEDQbP8hf22knAirGIj8YvkN2r02r11sKL8pIh0jWHlDPFAD4e74ITp6nLIBchp+6vv6zggtvONAwX0ChyGSMxy3UsZ7NDlSQz8EFO5mcNaOguKZc2cam4dlYmcw4RhkPW7//Ax+O962jQOw2VJD4fjXaY6zRovXZ74UXZhoegYbikXN7g0+m+Go1fgCxA+YA3BUIYOXaN1mp3kOPUF+oIzyF4yqfTTnrU/V54fm/pmcwFkEEwSI+63+NCcUVr84cLL8oIZwQ5dp3Ua7cBzNZUcBW3GgQxJFSHhBoL3X9OQAnBJGOhYjxWcnnuLyCjqviKs+SCihGEGFOY6Y5SsEyDCKUAEDwV02kn7XS+prXqLVStWQC9qu0JNWriUmmdhOEI7Vt/goTQzG54OfsD1DQbV8qbpF67ja0z1DCSxJdhNBbT2YGMovFVKy4YQ2xYyL79qXl/dUu/11zVbjTX6E2nhMt2AZc0DRmYQNK1U3d4xPYHh+ylR+Armf+1W/r9O5+af5PGKpqOeH9wyF5299kuAGBytSfwKi5fOlcqCzSPwhfD7dl3h38Z/c5tmmtu3VwVXKYgq2pkLgBSidybRt76D20uUpkca2leBUKkKnNuOLOJA+q6Syi1SKV8g1QqN4TndXMrq5/lQg51zSGl0hopldYXOVycgMoDzadsNNpVmXTKtUKlacjGkxdQ1x1xY/PXZ14IIYK67uBScR1Xypu5DeOlSxUQQQg1TYNUs5BllUnBbSHTOEPiSXIZBEM+Gu2KeaB5XZagH/DOgHTdpeXyBikW15BGzxOYVzIMR5k+4nhPvoOuf5mmPh+OdpBpVeSN6KwFGgIIITL0Ai6XN8hksi8z3+vBdY/vrwkQQoRtu0br9TvYseuLMkY5lBIiFdNZJz06+l7G8eRd0GaE7w9AFz6ijca9c8rTECKE599DxskMTGcHV7kfhAhnVrNEP6t/IUemJZpm1sPLXA+VEOlcIu7cZwwhABhTRKkpMdEuMta41BiUUkjXmZhOD1in8w3SqEUqlRvwtIY8pSYpFdcUS8O5vmUelCzleeR6pps017pedE3euHwgcrqBStPwskk4hCDEBGLTwYXbD81f/upvC/+53s4ymZhAmrsBQQgBRBjg/e3kkWFjh1D+SuPs6i39/m/+sfh/Rr7wjl6y59vfRn/0JmIE3lugCQCQUgnBZGpW9Hrr4/KvzKJWNQq0rBSQzfulL3giIrdprWGKdN2lRadhtjf+pl4mOjYQgeSqzUCSsYhPZx08mbyUSTLLXRuOib4A5E0oGENSKq0bWzf/AzKNIuv1f9DXVncyK8popIRYmkDudSOXdGpi121CekYXYd5VLcNwKMNwrJLEz8vb1wolJVNRNBG+35NhNJZx7EFCNICxdky+PiZhUwNnzkotrvXPzUSdCYgQ0g0Xu04TmUYJnCHMDgDIshizWSft9h4Jz+/mElcfgsyfOaCmWbjgtrDrNOACnTwFsqxQPh9GIgxHKk396+BmvnZvztPMDMDviSgayzjxIMlsC4/Hn88HRDWLuG6LZ/P6bI7xBywGggiZRhGXSxvItEoLvaNzu1EZBEMRhiMZRWPF+UIThmVDMRYK3+/LIBjIKJ7KNA0hJtq8+jJ/DxSECJlmkZRK63w43LkgSDwbECKIMIUY07MCt7xUK5VSMvvfktdDpSQQIncTumC0ECKAEDnLJeethiElE9PpYdrpfE3K5U0gBFM5T/M4Vpg3TxlGAReKK6Ra2ZKe3wMA9N7m3nMjCX1zozI38Dir8iLDaMIHg2dZxSXxr/Je6iayqi26vrql3924bXzcWKM3eaqS/e34cRRKPw6kV67T9spN7S6hUEMYEJQ3B538HBar2J+JMaVQr7Xp+rjHDjUDLW1dutpLrYBSCqjiinXTbZjrmCJKDGRCAKBR1KpAAUVNYiulpFnSqoWWuWGV9Bo1sI0I0uAVTzAqTQMxmexz123KOJ5lfsSnZEQyQFwsrhl3dJdUqzfTg87XaafzTdo5/IaxXgKysu3PItBElJjYdurYcRrojA1JMRbKIBjIIBjJOJ5l1onvoNlFCC6TxJdBOJJhOBZRPEGGUUALCPmQEgM7Tg27TvMs2Y0LASFCplHCpdJaJo9x9iI1z2Kwbvf73BL0Q2fvXwEQpSZ23Ca2ndpZ9oIqTQMZBAMRhiOVxN6yMzdnIjNKmIkwHOUHrxkydHfROCGlJnadBnac+odA8wqACCHDLJJicTX3tV8YaMo4ngo/GMgomqg09d/VOqAYi5QQqQjDkYiiMU5SHxmw8DrNJ8tuk2JhFZlm6aKy95mAEAKMCMTnBG+Z7JrM9oZreA5KqcyyV77J52d2lhAsv2FXCs5ns44SItXW13+lhEhhZqN5Mk6AACEMNc3GpcIKbdTvMqkkhPCtXP1yS+QCtu0qdt0GzmgdC39TGYUj1u8/5ePxi6tSewwLOWtb+r27n5u/Xrul3y9VSeP599FXz7+L/jw4ZC+HXX5w51PzV06xWD7rMxQAwJ+JcXcv3amv0o1SjbSKNdLUdLjQuvQquDxHUwLpD+Kj/g/TrzWbFKiBLaCAElwypZRECGKIIIYYYaWUFEyxQtNaV0rJaSfcDYdJN+NyXh5KiDTj3c2OxGi0y0ejXWRZVWxZPz7EeQZN00xMqZGfmiA0dBc5Tp1UKzdkEAz1jfWBjOOZipOZTNNQMRbmgsw/KUBCdeTYNezYtUUZHACyRU0G4VDG8URxfu2STsf3zaUpSKkUyzieyTAcQYwIyFybXu3yI5mzEXbcxkXcurMAIcTIMAukWFxBhlEAcLEDEADZJiOy0vkLGUUTsCRS8we8X0BKTeTYNWRb1TM8nJVK01AEwUBF8VRx8c7oEvP5QOv1SMbxNJsPmAIDvOZSAykxkWPXsePUIVk8rz/gHECIkK4XcLGwggyjuDC4ygP/3CLSf5fr+9zow/r4o0CG4VjF8QxQagIKXv2tIYDIMAq4WFzJ7YSvlvwBAACpJJBKnktNy+XyIEQYIoSWOjcQRLn1Jr6gHK6UUkJxkYJlckTnkEqqJPGFlELMvCMxnR0CkD3nuf42nMseUWqQUmldazU/lkE4ZL3eY/AWewXMVBDWcKm0jkyzdPqQeWwgopQQQThig+FzPpkeyJRdidqnGdCsr9KN1Zv6XUwgHXVZZ387efTD19HvRl3WmY54r1QjjSSWEaFwofa4kkp99Es7mI54r1wnLcvBruXgAiaLr78KrhBoKjl56T+LZ+lIM4mjWcQRXHIW80ByxSEAIHc1NahFHKdqtNyWtR7P0ol3NPr9tBPs5tqbl4eUXKZpKHy/N5fVoa3mx68Emj8i50IZBVqv3cUOEgHfAAAgAElEQVQFt62ttD+VYTTio9ELPhrv8sFwmw0G22I26wjP4xDC+F2UVS4DSImBLauCbLt2VuZDMRaKMBjKOJ6dIStxvZBSqCTxZBAMkK45QKl508MxICEGsnMh4atmcDIv9QIuFFagYRTOla86bgaaHcok8T5kNP86ACk1sWPXsG1Xz8poypQF0g8GMkn8ZRgVXBpSChXHngyCITrDKhdSamDHqSHHrkO6MGD+gHMAIUTIMFxSKLSgrrsLedpZRnMmwnCUN9m8cyjGkyy7HU2RZZYBOPXKQgihrru4WFjJLIWvqJSipFCCs8yg5IzgMZfYgQgRgFHmxY4QX1oDDMp4l5nE1DlrswJzq+gwN1RZ6tqc2yenSikhPK/LhsNtgBCBlL7mVgQJ0UmptKba7U9Yt//kbd2KkGEUaK16i1QqN5F+hk22lFxxnh73EMxmHcX51QJNHRmVBlmprdCN2Yj3j14kz7a/jf64/W30xyiQHktlEvnSE0LxswJNAABIUxWHnphyrphmIFM3oYkwWJpqz+UDTaUUpmjGYxFZFb1BNGRABBEmSANAQSUkzx2DPDhJh3MnIb8fH3jd8GU0SYeCLe4Yv/Demb4Yw44zYb3+E6jrDsRYw5ZVgZpmQU2z5uXUE5ZfBqDUQJZVAUpJxXlCCm6bF4urzHVb2HWafDLdF7NpR0TRhNbrocoznLmjDnsfmc65yLP54L4Gdd05y1McgHwxi+KJTNJAqXe/sarM8zaQYThSrtMEC06EEGOKDN2FhlE8K0C4EBBClDUCVRCl1sLNJT8xKi5SFSczEYRDxS5Psv6Anxbm88H+/DM995G2AISvr1+Z3Wcsomgs0zRQSr37+SAlV0niiygaY8YXunjlJbYiMowCzIXdP+DNABGCyLIIpNSEmSOYtjCjKSVXSerLKJootjwZn8tAcZ6oOJrIOPHO0paElJoIQgj1s9f4C+8jJFcpC2SahuqMZMM8iwcI0ZCuO1CjlkpZAJbUAAMp0ZFhFKGmWYuSAMdrsJJScR7LJPFVJq+09IqDklJACKXwvC7rdh8jXXNxwW2BU85RECGKbbuuqtUEu24TaboDCYmAEOwqewYyjCKpVrdotXIDnaV3naS+DMOx8PyuDIK+jGPvqlQ3TAB1irjslnBl0GEvjvbS7X6H7Y16vMPSzKHw3//nYqou8DIXXPE0UbGSQBACNUKRhpaoQ36lND3WsKFZxClvOncb90qfm0WtggjSlFSCxSIMx0lvtOM9nh4Eu7Nu9NLvxwcs4kEacl+kMlHi7RZ/lSR+2u09loxFuUyCTSrlTVKpbJ5LLoYQQow15LpNqmk2LhZX5Grm0iHDcCRms0M+mezz8WSPj8YveCaJ44H34ReKEIII0UzOB83LEQu/m+I8kXHsqZSFQL77jRUoJRRjkYziqWJ8cYclhAgSYiBKTIgQhQjBSwsTQwABwRrUNTt3XXn99JkR0pliLJZpGqok8dU7aAT5gGsGQhhm/vEaQJgACM8szynO4x+5yu+hAUxJIVMWyrkw+CIghI9dY7LM0uXnw79BQAghwJhAgjWAMYUIEYAWU2hUZjsZyjiZKfF+Ak0gRCrjxMtdiBY2aMKseRJl73bm0XLpIEeIVMbRVMa5IcU5QJSYyLar2LTKQvgMLMm9DOa6psgwimdSALJGJKFSFmUHABZdV7VJKaW0lZVu2jn8C3bdJm21PnrtIoQwNIwCljKzpCwUWiDIOL3gCjJTyDQKtFq9SSrlTXhGRjMzVuk/FdPpgcz7Ka6aCEEIIqohXdOQzlKVzsZimEQyvMrHqYxyASECCGbc2aWpAVxesB1B6DbMklM3VtymtebUjbZZ0mvUIDYASrFIhNTENgt5kAbM83vRgdeLOssaMABZlzVEaF+miY9MswQptRRjIUAII90oQI2aECEKEEKnMpwQYIywaZbACckBxVgk0zQQ0+kBGwy2WX/wDFlWFY2sHRH4A1IqjRTnseI8UUKkgPP02jNkEGKAsTbfWM+R78idetJAcRar97KxKqVYfkLNFrnXM5qZGgACmGg5j4dAhC6pWwYhxJgiTbPzxXnRWKQSIlWcx4rxSLLlOF98wHtGFpgdBxdvNB8uklm5LkglFWeRSlL/rE0/nw/aXBcWQIghQsvvBP5rQ1b6pRATfX4AP7MpUCqpGI9kmgbvQoVjETJ9ljRQKYsW0TgyCQKEAUIYYqJBhEm+b10q+FCCpzKOp1nwlmYl6eydeu3ZQE23SaHQFq7TyC0P3zqRAiGE2upqEZfL69i2q6dL1Nkg87U5TQOZJL6KY+9aHJpOQAb+gPV6j2mzcU8l+Xtw4p2BWUOQBZSSuOC2SLm8qZSUMo49cIlAE2JMIMbU/OhBBZeL67hQaJ/VvCuCYMB6/cd8Oj1QjL81XQ/CLDCUQgmWqkRwwMEleaYYA0I1aCAMSG5PKa4sQ7kAVwk0UaFtbbYfVn4jmEy6jyd/lkymMs9SIgwx1rChO7S48ln1fzr8y+hfAQBLDTQByLLvkNKIdbuPMqHk8S7tD57SRv0ebTTuIduqIk2zAcYXp38zX1IbFAptSKiJi8VVbWXloQyCIZ95R8KbHfHR+AUfj18Iz+uKmXcEAFiKX/JZgPnGemZZ6CSUEkqIVAnJl/lyvDGUUkoKrgRPL+LEQQQRxJhCQvRcC/VSzzHP8hp59+aijKZSQrBsAXsP/LwPuBZACDEgxMiDsvPng5RcCZ4q+Z7mQ0YmmY/h/MARQgyzgFPPg9IPgeZ5yDKaFNIsE3z+xfN1STAg35PlbBZcMSUFUxcderI134AYa0qpBFwiWFBcpDKKZzKMRjKMJzJJPESpBRB6jf+LTLNE6vW7wvcH+V42vPT3WgDsOHXabH6Ei8VVgBfQQaQUMozGYjbtHFsBS3llA5c3gYyTmVJTKaazQ+H7fWRZFaRrDjhNV0EI40Khra20P1WcJ2I664BL7E2Zx7xVwa7bQqZVhpTaAONF76cSvt9Pj7qP+GR6cGbF402/nwQyTWSUxDIkFFK3hKu6CS1wiWwkhBB+8qXlVpqkbZjISiIZxIH0hVheo9blA00IkNMwV1sfl3/ZfTT508FXw3/xjsKXScBnEAKo2bRQWrO3Nr5s/H3lhnN/dhi+WNZgTyP3KN2GCO3w8eQlGwy3jTAcA4wIkWUOLLsKNWrl5RWcqWi9vklBjCnAmGJKTew4jflRTDIWi5l3yKfTg/Tg4Kv0oPMV6/efKi5SpOtZKURKntnTL3mywKylCmBMz5PxASArEQEhGJC5htm7h8o2d5EqJcXC5XGefoQ/BpqXbtTIqA8EUWpAhM8KNCUQgoFMnP1DoPnXgnmpOTt4nbuIKikl4CI/9LyPcxdQYB7gnMURPdbze20+fLBHPR8w0yqkOkT4fD6jUhIIycF8XXoPUEpKIAXL6DsL9oiTGtAYkfwdp3kG9o3X8lwX2tfXVscyDIYyjMbQgmiRUgmyzDKt1+6ImXfEur3HEOODrKR9tWw6xJhASikuuC3aaj7AxeIqJK/bTCspmQyCER9P9nI964sPYm+J3CEvsB8+PBSed4Rdt5Fr274SaEIIMXbdFl1pP+TT6QHsYA1cItML9cyREBcKbWwaRaRpr2Qz8/hAASnFvJk5bwJ6q4SVFIrHofSjQHqEQq1UJ03LxUWqIQ1jKMUZNMWs5R5CjAHWdEicEqnU29q6biIr9MUs8MSUM7W0tehKHE2llJRCCR6LKA3YjMUiVEIJBQHgMQ/TgM1EImIlAAfqHZzQlVIyDEccABVLwflkvEdK5Q1SLq3jUmmNFItryHUaGQFaO89N5BVAhAgyjRLJgyNSKq2L6fSAT6YHfDTa4cPhcz6ddWTmdLNcHmfG0SQQoYsF7rNFgr+Pxof5AIBSMgu61fmbO4QQYkQhxppC8PKnOYQIwFjPZateH0m2tueb/IdA868FMOdoZgfGN5sPQEmh3ltGUwkgJbvo4JdxDufzAX2geVyELFlAIEJ0kUj7KSigpFBSivd0AAdAAamE5EBKfmGJOPMBp3NJvqvcTqZpwIaj5+So+z1oNR6gBfaHyDBLtFa7JcNwxMejF4qzSHh+F1zBBQYSQkm5tEZK5Q3aan1MK+Ub2LYqi0rnirGYj0Y76f7+n8VseniV73dViDAYsm7vEdJ1F+ma85r3PEIIO06dNhr304PONzDrnveAlOJNkkjYsiq0Xr9DyqX1haoqSkmVpoGMY096fk/4fk/G8extjSTSRMaDQ77f3U93dRPZtz42f+GNxXDc54fjPjuiOhr++n8pnJKAyXiYmg71SpOuVJtkdesj4/ONu8YnaSSj3kH6orfPdpNILi2muVqgKYFUQnGeiDj1ucciflJsNCi0LI+nMlZSvdGP9LbI7zEGAIwhQrtgByFSKq3TRv2+trLyqb6+9kuKYCYQe4lAEyCEkWmWkGmWSLm0DpQCMorHMgzHycuXf4ifPftnAABkmXTGUgPNnByeNQEtiqhOIhPi5SBbUN/5xqoUyOxGxcUba5YTRwRipMFLSnnATD2PnLBZW5jRVEKwrGz5njaXD1g+5pnwN5sPEkjJ89//PaQ0s/Aio7JcOB8QRBm/6w0Cpw/IhbYBxgRe0BWb6YfnB+D3pTpxfACX4qKkS04r0iBGFF5RyFwlacCHw+ep6zaRazdorXb79DXINIrINIoyTUNtNH4hw2icN3FePtBEiJJSeUPf3PhSa7U+JpXKjbMc7BTnCR+NdpP9gz/x2ezwXf4mMghHrNt9hGy7RqrVm9gFzVcugBAj12lQ0yiRYqE9r4TmdIcLx4lsq6LV63dJ6exAUyaJL3y/K3yvJ32vm/NA3wpprOLBEdvv7rPdOw/NX23e0T8Z9/lRv8P2lAIq8qUHX/MBAhBBiKgGjfoK3dz62Phi6yPzi827+icvniTf9g/Yi/5B+iIO32+gqZSQnCciNktatfmg9EX748qQJyIGEACiY7N+t9Q0XFriiYgkX1769Y0GJ6WEECoZhRM+HD1XnMdiNjvE+/t/xm6hhV23iR2rhmy7ii2riiy7AgnWFpHKTzkYQQAhgJRayLIAbTQeQIQoKVc2Wb/3xNja2uaj0Y6YzY7epovsxPcQcw7LhS4LuZ0XvFgo91oAAQAQQfxGWQalFBB5mf2SpW2V/XUBpGTnND1lOnEIk4soBx/wM0I+H1RmcXfhfMiqARDBJXZOvjEggADl2amL+dUyt8T9kIF/M2SHasGZukBhIyNKwSwT/h7WxXwQmdXiG7jgZP3YIlVCMnXFSqBMs0AT6rpDKuWbol6/AwkxIKXmaVtg7Dh1fXPjS2Toblqt3LAe3N8WQTCQQThSLA1lysI8eSHyXuSMvkI1Cxl6ATtO3Xr4SVtrtx9qK+2HpFbZggjT085/krFIhuGY9QdP2WC4zYejXRlF43cpOSejaMz6g2e4XNqQcTxTQvCTzcL5c8GAEA05ToPW63eAAlLMZocAgDM1LiFCCECIrIefVEi1soULhfZCa1wpuZh5h+zo6HvheUdKLGeux5EMDneTZ4QAatrIcUu4Wq6R5i//k/O/3frY+MVkyLvrt42PSlXSxASSmw+MzwwTWf5MTFiq4lqLrlfbdM0p4vLgkO2/3I4f7TyKvj56mT6PQ+kvY4wAXCXQVABIrrhIZWyW9Frr4/Kv4hmbRNN0BCFERlGrGAVa0mzi8kTE8j0IiOeCrVOZpAGfTPbT/f0/5dILLVIsrtJm4z5tNh7Qev0OJVQHUMu4m2+wFkFKdEgwpVrDorXqTdpqfcy63UfJ/v4f46eSi8DvAyEBuII0wqkvkWfmLuZdZidhRHL7svewsUIIIMJ5Nzk6fwhKKSmZ4iI9k792zl8GUuZlUSXAopMmhBAgjN+oaeQDfjbInET4Gx28IIII4Dcss18L4PFh5+J3UKlMq5en761h5ecElTdaHXNwL8BcFut9rQU/VqYuDnalzNxy3uQwdQZUmvpsMHwOAIC83fpUBMEQW1ZlUZYNO3YdGRsFUq1ukXrtNuv2n7Be7wnr93+QfjAAQTBUnCdAiBQgRCDJ7BWRbddIqbROW82PaLP5gNZqt2mteitThUCLSuaRmM46rN//gQ0Gz9hotPOujRRkFI4Z5ympVbdUkpesIXx1fiKEIQDzEvrdud4lOCfQBJl6BEG2VSW16hYpFlYWOpZJycVsdpQeHv5FzLyjty2Zz5GEMujspk/jUPqlGmk1VumNSp22b35kfCG4YmmiYt1ApuWiolJAbX1kfrF2S7+PMCSYQEIp1AiF2uCQvewdsBd7T5Pvnj+Kv+p32B5namkNz1cRbJdeL9o//Hb0B80iDtGxASGAuk1z20GlEo9NgkF8mPhs6vfjpXecv9E4M5LxcVczJCRUnCcqSWYyTXzheUesP/iBFDurWXbTrCDLqiDLLCPDKEBdd9D8hTlJ2M4CUgQRIoBSExeVAkApADP9PoixxkajXQDA3lt9ASnFXE7pwm5FiNAJfcH3cXLPfGOzxiW8cGs/FuvNA+isWeeSk01lYtiMxXlZ8vWBQIggRhRgrJ2lr/cBP0P8OB8upmfATPsio1e8hww/nNNDsHamd3U+H/IsFsutMj9kNC/Cj6oSF1vtztdpjOmVHXfeEjDLaNL8XXx9PToZUErFleCJegNu75mQUirGYuEH/bRz+DUyzZK20n6otdsPAc61R+eZTYxpfiCHQEmBNM3GrtOkteotGSczGccekDJrZMrXVUipdRxslsvrpFhcw65TR4bxmmZkrmUc8NFoN9nb+32yt/d7Phq/eNsGmKtAccGASn3pBwM+nrzExdIaduwaNIwiAK9UL2HWPd94IHy/zweDZ2d9JoQQItsqIsuuECfXD81sr4/ftXkTkOIiFZ53lB51vxee31tWP4UQSiAMo9mID3Yfx18jDFF7U7u9sqndNh1cMExkKwWUUkpBCKEQikMIoRSK81QlE18ehYGYdZ6nPxzsJE92HkVfz0Z8kMZyqXzxSweaUiip2XQnHCd9t26sui1rXXdokZrEUQrINGCzaMpGfi868AfRIQv50tKvbwUhuIzjae6DPGTd3mOoUQtRzcSl4ioplzZorXab1P9/9t6zSY4syxJ72lVEeMiM1BCFKlShZNd0946R3OXs0GZpRuMP4F+kkZ/3A7lco3F6xLYqLaCRMrR07U/xw/NIJBIBJJCIBFBTOGYwJJCRGR7uT9x377nntD6gjfo1XPE3wXIv5SeAGPNgrbZr7K0Iw65TB7fv/hfwioGmVkqChW7neZkOBPGJePGbyOBACCGGZEFBeN5L9eNMbfbSp1oNTPZHiBQouVwrzGzyFBLM4DvO278ZnJ4PLyITAwhhby6jueAS4/N5yAttQXmhDP+vEVpLyZUQ2blZIdNoRQB5TsB/2ShUBU4HeM+CLjKaxVi4WEbT/JxEFpvlh4d/1WkaQAAArdevAssqFfSqJ+4FJMTGlcomct0GaTZvmCymEvqE26q1YcgDBBFCi0MUJNSG1MgxLbsWxU2TEe/1f04fPPzH7NGjf5VxMr7I53pVaKUkREjLOJ6I0fgBrlQ2IDFORmdfi0tei7Xbt8Ro/Oi59rAQQuS6DdpsvIcr5XVImQuW9Q5orbQUuQiCLu/1f1JJMl1lRldJrQiB4cOf0q/7R/mjzavW+xtX2ftrW+zq2ha9Uq6ShlvGFUoh0wBowTVPYxVFczntH+WP+of80dHD7M7xw+xOMJXjJFKvzB09iws1A+URDwAAgde0lVZAWmVaYy4paQ10FvF5HouAJyKCAL4RitQyFBNw4YIQA/CYX4GjaCiDsC+DcEDmQVeMJ3ukkCpArlPDjlOFluVBxkpnF4snToVKKQABFOPJI+L7t1WWhTrLwgtxUYw2JgdS5loVJfQznJLT14AYKxkezhvI4kGIIKE2sqwyJHipY49eNCyZkhc3zRov7YRishmcJ0Xj0bJAE0FCKCTUXkiFAK1fUhj+Hd46KCU1ALmZE8UmCOHy+UAwQ4yVICH2G8nwI4ghpTY0xgJL/YW1aRJ5zDu92Hz49aFYR07MM6TkGgBQjIUzLQ8QQ0Jt9JzncNmACFNkMQ9R6izT/dQAgAUPUiujt7kKuTwtZCZn844WIseVchvZdgXXarukWt1Btl2BjLqLe3IiWs7Y0iaeF3q/hXyP1kqlaaDSdCbGk30xGN7Jjo6+5t3eT2I2P3rdJfMnrlEpRddaUz4Y3kPlUhtXyhsAPBVnAmTbFVKr7hC/sokct44Y62kps6esqCFE2Cs16Vrr5iJwfWo9UkqoLAtkEPSk6TYfvMpB4lkQQgsAwBhjOBVc83Aup5O+6Aw7dN+r4JrjIg9TyCAEUAog0lhFcSBnoy4/HHb54ajHj0ZdfrRKSaPTuFCguUAW8JniKkcUHSMjoA2UUBxRxLyGvV5ec7ZmR9FDAMDbkdU8g8eNQ8lUC57KMOjzXv8n5Do1XCqt4Wp1m22sf8La7Y9IrXYF15kHnhE5Q4wtXC63gdaKrq3dpMPRfTGe7Ik8j8FF+JqPF1RTVpMyhwCwZQL0kBAbOU6l8Jh9/Sd3CBFkzEWOU4VkuRtCEThnSohUS3mxTVXrhdNGrKXMNQD6qYdhOFEWYtQ1GWvqaCkzAMCbsaB7h9XABGa6cH3KtJT8GTxcCAm1keNUjR/6GyiZmo3bM65lz8iIGM5pZrLz74LMF0VRApRAFcoSQmSFLSUFZ9ZmiBBGFvOQbfuQkKd0HV8LCGbQULHKhcnEUzCcdZEZDvKrN5ICAABQSimexzrUKn209y9iNj+2ruz+O3t39/ek0biGfX975cG3UlIrJeRsfsT7/dv50fE32eHRX/lweE8FQf9tGOcqSWd8OLiLyl6LbWx8uuw1kFIXIURQubyGy+W2DILOUq4mhEWZvf2RCTSXSDoJkct50BOj0QMVhn39ipaT50FKrWwXjbJUx+OeOLbupC6hkGEMH6s0aK2lAEIIzbNExVmq4jzVsZLg0vppzg00IYIQIYjh8gBG80TGIJGn5Y2AXWE1p8oalXV3Jwv5DADwaEXXu3IUDzwp/kwAAABSwpBt+7hSWddpMtNpOldpOqNS5sh1ashxqovT6Sm+C4EYl7XWktTr19h6+5bmPBHT6QG4QKC5OCE6Nz/IdJEZBZZVgkvcBoqNtYYsVnqmx+wlAkKIEGMect06ZNQByzKaUvHCdmwOTOB3ESjNeVp45KbLToULq0tIiIWYVUKO46s0nYN3geYvGov54H36SaaydF7Mh/JT490oQzjIdWuIMe88CZzLAIQII8sqYdepQfJ0ByoAoLDJzAKVpsF53tTv8CS01hq7jtA5j1WSTiEAPlqmq4sQgcwqmwPw+TSoy8CiPItsqwyWB3Zac56qNJ3qnEerUh5YVPAghEIMRw/lbN6BhFjYcWuQMRd5blMXa/ViD9O60EPWWpsGz8e8RWCylYvvK62ULEw6+MKW2YznLOD9/u280/0+73S/yzud71QQdN90gLmAzk2DMB5P9mUUjVSeR0ZS6vGzgYQwSAjDntckteqODIJuYQ5zEmhChBCklOGS16LN5g1cLq1BtKQRSspMzucdPhjelWE4LIT1LxVprGJgqrYrcXxaBc4NShCCmDrEI9bTVlbPglNljfKas1VZd3enB+H9V7vENwCphM7yUE5nxxkXGR9PHrH+4A5dW7vNdra/ZDs7v0W2VTQ/PQmIMS0sLD8X09lxwRO8cDraELvDgQyjPkaYLCtvQEod5LkNZNkVgJbaXl0uEMLIssrY85qIMnepkLoQmYqikQzDgcrzZ3fxPQ9aaZ1lgZwHPZ1lwXMJ8whh6Dg+rpQ3tNYKIjjX6g1p6b3DyqByHssg6ssoGmKMKVjmfMKoiz2viSyr/EYymhgRZFtlVDiTLXuJ5jxVYTRQUTQsNrF3eAlopbVK07mYzY4wAACZdfFJ7iHCpGhcaSyTnHkdgITY2HXryHb8Z/h/mzVtNu+oNJmBcySbXhZaaw0xzrXWUobhgI/Hj3ClvE4a9WtAqUrBqYcnLzd0LW50ShEGACBDC9NSKymANAoJKuexTpOZStKZkUQyTTZiMjmQQdA1epHRUKfp7G0JMgEo9qE4mRor6fmxDII+ct0adpYI2ztOlbSa78soGsooHAIAxgCY3ltIsAUtVkKlUovUarvYdRvLLCc1F6mYTg95r/ezCqPBa/iIbyXODUowQ5bbsNpu1WoqqeV52mUAAODUrGZl3d0tt51t5tHKai719aHg8y2ynCOI8X05D7piOj0ABFNSr12FBQ8LQPjEPYQIEVwprwMpOd4/+POrSuxoLlIZRgMZhgPkOLVlr4GMOtj1GsgxJSKIEDJ9ZpcbWBXdtYjUaha0rTLy3HqxsT4daQqRySgaykX54ALQSiuVpnM5nx+rNJ0/L9CECBHsunVcre6oPA8LPbS3ZsF7h4tB8zyRYdCXYTRArltf8hIIGXOx5zWhbVcW8+F1cHQX84G212xk2z5yndqzAhzNeSKjcCjDaFiIZb/Dy8BwAWdiNjuCFivpcqkNzzpSYkSQbVew6zYKviwusnGXvg4s+P/eZ5+6RsnEqizLeAEAtErTuZzNOipJZ6tWHoAQQkgphZTYECJsspBKAFVkLk/kokSi8zxRaTZTWRYWyh10obJyon0sZKYFT1WWhcqs5wM5m3fkfH7EB8N7fDi8p/M8KnSS37r1dmHVydbXh2I6OxLT2SFFmIClgaZdpc3mDTmfd3i399PJNyDExRrTwCWvhculNmLMO80HX2SHNc8TOZsd8v7wjoyjN9II9Tbg3EDTKrPa5qeNv2194H+WR3yeR+LcjiTmkUrtSukD042OX9yJ522F1kpF0YgrJUmnu5tXqzt0be0mqdWuQJPZfAyEMLLtCqhU1qFllV61GUELnsgw7Msw6JNqdXvZa4pSYR25rgk2GfOKYO5y0/QYE8RYCXIOMWAAACAASURBVHtuAztuDVlW5ayH7KnPkami6UpzHi97zbnQWqokncrp9EAlyfS53ccYM+yXN1i7/aGK4iGHgzvgJbyD3+HthOY8lkHQU2E40LXqlWWvgZS6yHMhdt26mQ/UhRinl162wpgiyyphz2sgx6ki2648qyNXc57IMOqrMOxrcbGD168aWiuVJDM5nR7gcqm9rGMfIkSRbSot2HVryLYqZ0uglwVIqbOgEyHH8SFj3rKMF9BaqzSbi/n8SCXJZOXNMhgT0my8R9fWblpbW79h21tfkHrtGnLs6kL+TaXpjPcHd/hweFeMxg/FZLJ/0mhn9i9YlMylLniYQMhc8zxROY91noUqy0IVJxOd57F+C7iY50HlWSTG44e81/sR2VaZ1Ko7Z1+DbMenjcZ1MZnsIdOxj4DWGhJCcLncpq3WB7jktcAyoxQjx5aqJJmKedAR0+mBSrPZZXwWhIpnBIBWb2nV7vxAs0QqrZv+51f/tv0P4SA5jkZp97yfoRZ2vTVnEyKIiY2XN4f8glBMmgkAYOK8995t7PubkFIHl0pr4GygCSFGllVe8LReOdDkPFFh0JdB0FM8TxZZytMdlogQGyxKNK5TR5ZVUkb641I3VrOQ2xVcKrUK/dGntNRO9ALFIjMb9LRpkHp5aK1UmszFDBypJJkCqUQRbEIIn1YDwJXKBm2v3eT9/u134u3/NqDyPC5KcwPNxVPzAQKzyQNKHeQ5RheXWSUlFQeXPR8wZshxqtjzmoYzfcZPGYDH84Fzk5mNwsG70vkFsMhoTqcHpNl477Qn9clYQAhDy1RakOvUkeNUFQBTCGF66dUeSl3keU3seQ1k2z46S3l6rCu8yGgeqSSZvry28HOuASEEGbNps3nDufHe37Htrd+wra0vUGHDrJWSQCqhoniUdzrfpQ8e/mN+dPx1fnz8/aqu4W2FznksxuNH3POatNm8cXo8LMYPsq0yJDVqOvWtCkSIaKUEwJjiUmmNtprvI6/UXOrIp5TQeR6pOBnLIOjK2ezoMiw3MYaIWtDCGBIpNMcEcq2MbsHL/B6EIIIIIIQgghAgrYGSQgu1IhOJcwNNkakk6Mb7vZ+nX40fzn+a7IV3z/sZq0Jrrff9T926vZYF/KX9U99mqCwL5XzeUXE81lIu516e2I5BDCHEEEJ40YVNZXkkJpN97Ptb2jS1aPCMznfkOlXaar2v4mTMB4O74JJP7pAxh9RrV8ja2ofIdRvPe63K80hOZ0dyPNlXWXYxnS6tteYiUTrRKk4mKo7HkBALMuo8RWEoFgPdlDmu+tvYdRvIsmaa8/Sd1NEvFzrN5mI8fiSq1R2dZyF4znzArtegrbWbOstDPhCXrjyALKtE6vVrpNX6ALlPl+JOQ2V5KCfTAzGZHug8fytVOd5maKUM57DXv03bax9pKTl8xliAGDPs+1tsff1jPhjeU0k6B6/q3HYOcKnUpOvtW7ha3XlWQxgAwFRp4mjEh8N7Mgj7q3KMgYQwXKm0SNXfYZsbn7Ht7b8hvr8J0WOeqIrjMR+OHvBO57tsb+9feafzvQzDXwWP0LgVzY6E49QWdC6IMQGn6Q3GhMRCtl3BfmUD+5UNGcVjiBHB5fIabbXex57XWJbEULnZt/lweE/F8eSyqGx+k7Rv/db7H9Z32PW92+l3+3fTH6JAzhCCs5cJNqst0q61yEa1Qdb8BmlNB6L38Of0WwDAuYnFF8ELBJoymXfjfQAA6Hw3/m/dHyd/Oe9nvKa9roTmjWvlD/+NBppdGcVjrZ4daEJjfYYBOik/XEyAN8tCMZ7u4cpkQ6XZDGitioH91IKKHKdKm80bKgj7BSfxUhcNSKmLa/UrdG3tJvK8ZXy5BbTO81jMpodiMtlT6cUCzYVCAIQwlUkykVE8grZVxkYo/smxjDHF5XIbUupg399CrlsvZERy8K6E/ouFStO5GE0eidr0ilo0hD1rPrhuna61bqooGorp7AgUqhKXBWhZJdKoX6Ot1vvIcZfyqQtonWWBmE4P5HR6oLI8uszr+jcJraUKwz6XMpdB2DvRJlxSQYKEMOL7m3Rj/ROVpnP+HLeXVQF5XpO22x+RanXnOaLfhiEZxSMxGN5XYTB4ZvLiJQEJsUilsknX12+xzc3PrZ3tLwsbzJOgSEbxKD86+ip99Oif8/3DP/N+/86FHYl+YTCKMLMjSKkjg3BQUM2cJ3i0xvscI8f2ccXfxJXKpuYi01orXCq1Sav1AfK85rIxp/M84uPJHh8M76k4mV5WBr3aIO3f/X35f/3033l/90//efZ/RIGcAQ1AEqpFUurFfk+TtK9+aH+2+759a+c966NHt9PvJkPRBa8r0OSJiKb70f1kmo+CfnIsuTp3IthlNp8ehHdFJpNweH6p/ZcEiBGBlDqQ4KfFWRdQSmjBjV2eST1feJBpJbnKslCG4VBMJgdiPNlDrlvH7qnGoEWq33XrbH39Y5UkUz4aPUAW6xVOEystGUKMCaTUpu21dbrW+oCttz/Gnttc9lqVZaFKkomYTPdlEPZVms6BfDULMq21dj++1c2Pj78FEEBEqbtEJw8CaBq22NraTefDm/+QHx59lR0dfQ0RCt5lNX+ZMLJAaSDDcCDGk31Rmx4gz63jhcPHqUUfl4xWnorjER8O7yHGJkuFl18RxiCA2Gxra4Ourd2k7bUPkbu8cU+l2Vwl8VRMpwcyCAcqzYJVBRe/KpjqRqpAMpWzeUeMRg+ABhp7bh2ctQ7GmJFa9YrFtxM5n3dQt/sDpDQEQuSrDAAghBASYkFKbefjW1fY5uZnpF67ssxnXCslVJJMZBD0xWx+LON4pHIerSrQg4RYuF7bZVubX2Df3yxsMBEAjxtVVJrM+GB4l/f6P8soGv2aLFC1UgoiJHSWR3I2PeS9/s+kVt3Bpg/CUC8WFAzGPFL1t0i9dkUl6UzzPEae2yC+v4Vsq/KsjKacTB7xweCuSpJLO+BCBCChkFEL2ZhAihBAhRvaS1H2jH0EEJRBq1InrbKP64TCpfzyi+CFAs3JfngXYohl/mJ6bzyTyeQgvB8N0246zy81i/C6ATFh0GIlZDrOl3rXLtxrgJBcGwL1xRczqYRWeWTkIyZ7fDR6QCFEeMlGhj2vAQm1VZJMs4PDv8Dh6D7QWQBWzE2DGDNkWRVcqazTtdZNurF+CxKylIursiwQk+m+GI8fyTDsq/QcWaIXhJwH3fzw8K/Itsq0XrsKHOdpiwcIIcSY0fbaR5BRB2gl+Wh4X3IeQ4T0205Yf4clkJJrpYQygeYjURvvUowIWGIlh0qlFmPMlWHQw/sHfxLT6QFIMwVWXDaFGDNk2xXiVzbZevsj2l77EC0JLgAAQKXJjI8nj4TR8RuoLAt/LVmkVUJrrSFCqZYiX+gUGneywhHqFCAhFqnXryDLKuW93k/IcapAKaHMAXx1YwFCWBhX+KRev8q2Nj4jlcrmMuUBLZWQQTjgg+FdMZsdqTiZaM6TVR2AISE2qdeusq2t3+BKZeOM5JwJNJN0KgaDu6Lf/1n9CpUPtFIKl8uJmM4Oea/3I6TEwr6/dVaeD1HmYt/fJrX6FTGdHarI7LXEr2wuMwoAAACd5ZEYj/fEYHBXJfFbHwNJqQXPdIYQRF4Z+04JlzGBK5NKPPcXKakXUj8nwAwzTCBzalbTq1trxCYuIpACAIASmrc/rCZZyGdZyGdSrMbSCCKEoMVK2Cs1IUZUJelUZWmgheSvIyOwKIXbN94z3Azf31rKvdFa6iwLZRgNVZ5Hr0oAXghVk6o/44PhXVToA5JadXfREQhPndyRbWFcq+1auzu/A0ryvDe4DQnZK1wZXmlRhRhjiBDF1eoWW1+/ZV3Z/T2t168avcIng+7FdcsoGubd7o+8P7it4mSyqlOzCsMB7/V+JLXartxOJshxfIAxK7TfTk6jGiGMPK9BMSZse/tLGScT3u/fFpPJPqJ0qk3gcikbfeELjCGEeHF/TiwH3+FCWIwr2qhPeb//Myo6y3GlsmlmwuNxWEgbEVJvXLOu7P4tAADyfv82JOSwcDF51flAIEKENOq7dH39lrW7+ztSre4UTYAn13Eqa6ZlGA3yTuc7PhzcvQw5m18TioOitK5cOc6Pjr6GjHm4Ut6ARmrmsSUlhKhozgGs3b7l3Ljxd4s1CWIcAKXEq2Q2F85EyLJcurb2IVtv32Ib659gz2tCSp0lY0FrwVMxmexlh4d/ldPpYSEHtLJ1CGJEkOPWiO9vPEvzGWgltZSZNrbAv8pxqIVIxXR6kHc632Hf31xIPgEATjLikFEHV8rrpF67SiaTPYkxQ3ZhAnCmbK6FyFTOYxmGfRkEPfkL0cmFwORBEQIYE0AxBgRCsLIG2gtFrIQhm3m00nyv8vH6x7XfenW7TV1SAhroPBZhOEw6/Z9nXw3vz35AGL5yQ4rZsCHGntdgmxufQWZ5Yji4V/D9QvAKgugvfA0YU0jMiYdtbn5GGvVrhQvOk1h0QwbzjjpPVPwloLIs5L3+bYiJRRuNa0ApUcgqPBaPM644kPiVTfvGe/8jsqySVobLVAz2V9tYEaKQMY82G9edD278T9aV3d+TanVnKUduUZ4Jo0F+3Pk27/V+UmmyMnkHGUdDLXhC19ZuqjAaqlKphSwLFQLET162ZZU0IZa1s/1bZNt++ujRv6R37/1XIUdcZzoEAFyOMwuEGBJiQ4LZgoRfNEK9CzRfESpJZ3m39xOk1KXNxg2wfjIfHi+OpikPklp11/ng/b9HllXSUuYqikdKiFefDxib+dBqfeDe/OA/se3tL3GlvPHEnFygmA8ymHfzw6OveH9wW1+0Ke4dnoCczzvZ/uGfkVdqsY2NT3Gp1ASGOvN4TTJOLjbb2PgEMupCi5VkFA+1ELkW4tWy3BAiSIiNXLdu7Wx/6dz66H+hjfo1RKn7zKoX5wkfjR5ke/t/FNPZIVj1YRcW9puuW1/KETXOP9g0rSJSBJq/usy6FiKTk+lBjjBhW1tfAA0UOCv8T6iDy+U2qdeukHHtKsSYQceuLONmmiAz6Mv5vCPDaKDSbL6qBq/LBIQAYgwIRABDCGBRfl8ZXjrQRAgif9tbq25510pNewMiiCVXOYhFBADQkqscYUTchtWu5qV0dhg9AAC8akMQhBAi5Lp1ur7+Man628Ivb4rJdF/F8dja2RlrwRPNeaq5MH+bzFFeZC5eegJBhDDAiCDKXMiYR9fba7hUXmObG5+RRv0a9rzGMo08LaWQYTQQg9E9FUWj52o9vgQ0F6kMgi4fDl3eH9zhzeb7uFxaQ6VSCzzJKYHItiu00bgOtFYyjsdAayXnQY9U/Z7O81jlPHqR+7IQHYYW8xBjHm2327hS2bB2d37Htra+II3Ge8iyvGVcVZWmUxXFYz4Y3OODwV05mx3p/IL6mcvvRyKFzMR4vJcfH38DMKa02XgPuV7DbDHw8T3BmBrHpuoWpMwtfLM5L5fXZRj2aatl9N84TwrP4ew8P9pCnBtDhEjhokEhJRYkxDLBJbWtK7slZNs+hAip3HBVwUwrAMC75o9XhOI8BvP5MR8OfT4Y3Ca12i4ul9awmQ8AgOIZQQiLJrn3tVRCxvEYQohlEPaI7/dVnsfaVB7UC80HhAhiJ2vCBqlUNqwrV37PtjY/J436NWRZpbNSWwAAoJJkLKN4vBC1lvN555eQ6fglQCXJVGitxGBwl/f7tyHGDJdLLWgZ6bnFuqgLMw3IqKviZKySdMqHw/syCHq4XJrqnEea8xed+whibEGLeaTR8EmlsknqtSvWzvZv2cb6p8i2K4Xg+dmMV2q6vYf3xWB4VwxH91QST1dOnzC1LgSN8smyzBREtuPTVusDFcUjGYVD7HkT4x8vc6C1NCI5b6cu48ogpZBxPAEYUzkPujKKhsi2KpBSp3D1A5AUsmXlyjqp1XYhxhTZtr+0CSjLTtQkVJJOi+bTVwbCECEEMMIQIwQQLOr7127ZLsaQQAggoZAyCzmWg1zbRZ7j4ucfniCACAOMMcTvfeJstLbYrlfBvpJA8FxnaoUuVS+f0UQQ+Zvele0vm/8+nubD/s/Tr/JIBDJXGYAAYIosq0z9yrq7W/688d8roQQA4OErXSWEAEAEsePU2Hr7Ftve/lLvbP+NStKZDMK+DIOenAddEQRdFQQ9GQQ9FcdjmaQzbfh44GWCTfNIMUUWKxHf3yLV6g7d3PyUbW58SpuNG0U3s7skewa0VFzMZsd5p/OdCILuyhYQpYTKskDO55386OgbxKjHdnd/Zy2TV8CYQtuukEbjunMTYdpovJd3Ot/lx53vxGS6r6fTA815AiHkz1pIIIQQEEIhxoz41R1Sq+2yjfWP2ebGZ6TZvEFqtV1kWaWlIsQAADmbHefHx9/kx8dfy8l0X8XJZJWezlopDSFUfDLZS+7e+69aKo4sq4QcpwoAwstOZIhRF6ISYdvbX2K/sinGkz0xHN3j4/EjOZsdifm8o8JoqKJorNU5uosIIUiJjShzoW2VkWWs7rDnNnGp1EKl0hopl9ZwudxWnCd5p/Nd3ul+r7I8BgD0V3UffrWQkus0DeR0dpQfHH4FCXGs3Z3fng40F4AYM+A4Pm0134cYM9pqvZ8fd77jne4PYjrdF5PJgZYyf4H5wCClNq7VdkmteoVtbHzKNjc/o83GdVKrmvlwVv0AAAC01mIyPTDzofOtMRxIZ++agFYDzXmqlJJ8OLybPXz4T0Apae3u/BZZ1lldXwgpdRFClO1s/xZ5XpN3ez/mnc53fDC4KybTfRVFw+K5PG/uY0gIQ65bJ7XqLm02b7DNzc/Y+vonuF7dRa5bgxjTZdlMnWUh7/V+yg4O/8L7/dsyDAdaiGzlAZ0GGkjJNRcpgAifSYpAACHElcqGfePGf0Se1+Dd7g+mQzoaqzgZm4AT5BChcw9gv2horbQQiUqSqZzPu2I8foh9f5tUyhsn+7s5XHrYc5ukVt2FlNjLLCsBKMTvh8N7YjR6oLJ0ZRULQiBlFrQJgxZlyELIlLW9Cq5SBi0IAWIWdLwK9rNUxTzT6XmBIoQQMRvazIbOzg3roxufOL+tNkk7z3WWRCqQYnWVt5cONCEE0PZZvbpTei8NJpPpQXQv6CVHecwDCCGkLin7W97V6k7pRnXbuz64O/t2BddpzmeMubhS2WBrrZsAmA5UGUYDFYYDMZsdidnsSM7nx3I2P5ZROFRRMlZ5FmohMtZuc62VMg4HQD/BnYSLT2ZOgHS9TSGlDnKcKq3VrpB6/Srb3vyCbW19gSyrDBnz4JkgUxsngEzF8UhMJnt5r/eTCsP+qkoixWTPkGWNeb//M4AQQtuukFpt9+QEtuAnIkQgQgQa3lCZ+JUtZNsVxCyPl0dr2PMaKssCzfOEtlrCBMOL+2GyQHRtjUDGPMiYS5uN90ijcZ1tbnxmbW19jkreGiSEwTObqtZaayFSzXnKh6P72d7BH/Nu9wcZhv0L+5s/755orZHj9HN1/A1krERqtavIsirIdWqgEMs+nVEoso0mC1EzwbOo+JvY97fFZLKPp9MDFYZ9GYQDLWXONjfzwhGj4Oyc3B/ENjcpYtSFjJWQ4/jItv0iw7yGK5V1Ui6v43K5jcultoyTsdFtm3fEij2XF1k7E1ibays+dPH/Ba2heJ3h3Tz+GVyp1KHFPGikT5b7giNoDl6Mucixq7hUap6MmWIuFRulOsVx0qcyQ/rU/ytQON+9yucu5kOKHGeQ93o/AoQwcpwKqdV2IaUuZMxZZHIgxgRiTGC53EaOU8WVygayrAqyrDIeldaQ69Y1z2Od89Pz4eQOAwQRba8RyCwP2VaZNBrXaaNxnW1tfsE2Nz9HrluDBFtPrQlaK815qnMe8+Hgbra396+81/up4G+vdD6cjINTzxrAIvPx+Hvo1DiApmcVQuR5GCKEoXEyeu6eAB+PAx+5bgN7HgDArKnmmZ6MCXVqHOiisqPPjI+VaAsWgSEntdpBRo7+Cgm1cclkNBFjzqI56OSwQAgj9fpVXKmsF/q6JeQ4NVwqteR83lE5j+naWgq00k8kCor5RNttG1nMQ6VSmzYa1+na2k22tfUFW2/fggQzgDF7KpNZBH1yNj/OO93vs/2DP4nx+JFKVxeMPAGlpEqzQEbREAMACmvgxceAAACAPbfONjc+RY5dQbZZN6U5aC8oBRlQWlpbW6f2h2dD65Pnq8zcN4LwWkmupcyBkPmpitGl6Eq+LIpr4IixWMznnUVGXJe8FgSAAVBUNxfrS7W6/Tihceb3aK1VkkzFaHRfjCePdLY6fVzLQV6lhhvlKm6Uq6ROLWgDAMD6Drte8nENE0j8BmltXWM3y1XcqLXk+nli6whBxGzoWA7yrn5of7593brJuc6nQ96dDESHZ2plFZcLcTTNENJSZDLNIh7wVERaaamBBjwRUR7xQOYy1UrLS+2oRAgbf2/MoGP7pFbbVXkW6iyPNDeldMV5rPM81HmeKCHSgvjMQdGQoQHQ0HBVMCSYQUIdyJiLbKuMLKuMbKuCbMdHJa+FbNuHGLOlKXMhUjkPunwwuGtKIsN7Ks2e68d9EWghMjGdHWmpOC6V1pDr1mizeYM06tfPbnQFd8hCjlOl6+sf41JpjaXJVCXpVCXJTKXpTOc80VJkJ2Tw4rQOCXGKAKqKHKeKHKeKS14TuU79Wad1oLVUQdgX09lRfnz8TXZw8Bcxnjy6sBPQi9wPzhMZRSMxGNxJHzz4Ry1Fxra3fkObzRsnG+/TgABChGzbJ83GdVRyG7S99qHOskDxPNE5j4E0i6NWSoBF5slw/hblcgYJYdD8bUGMGWTMhYy6C7oFZNSFlNoAJivlu5x8CIQgMIsggRgRiDABGFGIjPDwolkFFIcOgIsDCCq+LkTtie9vQ8Y8SPAyL2YAEKbItiq4XFmn7bWbRrZLCaAU11IKs5kortXiaymAVFyb1wgtpdCnX2/sAldSltGcp2IyPQBaK1wyjjy00bhOGvVrAOMnx6jhzDLsuQ22ufkZ9isbxVyYqiSdqTSZaS5SsxEWB0QzH6zFwRPbtr+YD6hUaiHH9iFGdKkDmJRCBkFXTKYH+dHxN9n+wZ/lbH6shVi9cPxiXD6mchDzvDGFGBFw5m/zWkxOPK0xZrTVvAEt9rSb0em3sa0K9v0tmqRzLZVQcTxe+GdrZcaF8dKWQi/GgJSiaEYUC9WAxb8hhCsrz6okmfLB4A5i1EWe2wAIItJoXCeVysbZ10KMCYTQwbXajkWpTdZaN4txMFVpMtNpFmghMn1Kis3Md2JB2yqjU+MAu24NlbwWJNhaVuUCoNBfns4O8073+/zw6Kv8+PhbFUXDVXzuZTjpxu8P7oA1AFHJM7zVJ+4BsbDr1iFGFNm2zzbWP9E5T7TgiVZaAqXkyaHguW9WNDgVcx0YT/Rc5XmksnSu4mSiomgkw7AvZ/NjGQS9c7PGrxlaKXlSLXSdOm01Pzj7GkiIjf3KJvLcBrLtypO/wNhzqiSZivHkkZhO9lWerYwiVa7hxtZ16+bODeujnRv2rZKP6xAC6FWw395h15gF7eL/a1mqkzxTKdDnyypiAikmkPh13KrUcPPwQfbzgx/Srw/upj/GgVpZT8VFA02phOJaaQUhgAhDChFedPsiCCHUCiglNNfqEgjGj/l3GFpWCVhW6amS2SnrQ5WmgcryQPM8VjlPwIK/uZhEiwwgpS60rFIRYJYL2zC4dBM5uRdKAqOJNhPj0cO80/2eD4f3xGR6uPLPDQwHFAAwgITMcLm0Bi2rBLTWyLZ94Do1SMiJvic0zUGo4JSUdaN+DZxIWyQzFSdjlWWhkdUwgTdEiEDGjE+v49SQ69bh6UzJsmvSWgEhcsV5zMfjPd7pfpcfd77l3d4PMo4vVbC/4MDkuFJ+BBDCQGuJLKuMHKeGGHOB6fp8ojt/8XmKZ10CwH/CQ15rrcFiU5TmFA7MD6LFprwItp8K7pfi1WxIn/ptCBmNUMZcZNvlwsv7JPAFmDBIsAXxIhDGFGJiAYIZfCJAxovy3w6ymFuU15Y6qxTuGJus3b4FKXUXmwkoOF26+LeWIjffE7mWKi84XyajIWWupchUmoWI0bkJSB5bB14ExfPvIduOcKnUhJblAa0VcpwqtK0yNNklVNw3BABg0HEYchyfNBvvgcV8iOOJipOJyvNI53mstTl4QYxNdWOR9XKcKjhvPigltSntz8Vo/DA/7nxbzIcfV5nJNBk6TCEmDHteqaCyMPOcCTMHZ3MIAif/Lr5XPP+TsUKIRVqtD5aUm598T9uuYN/fBkopSKmj0nSmT42BpePhye+ZOSVFpjlPVJrOIYTRKoLNIjsY0FbTWpSvIcYMMasEi7F/8jmKoJxUyuugUl5faEsaDmUyUUky1ZwnKs+TxYyAlNqIUhfZto9ct4YWHeXP2x+KNUQGYY/3+z/nR0df553u97w/ONdh71WghczEbHbEu90fkG2VSb12BWBMAULkZB0sxgNybJ8Y/cgLvFGxzwKggRDmuXORKs4TlSRTFccjGQRdMZ0eiclkj1tWCWBEdZoFyLKMhqyUz6SsvDZoLeU86Oad7ve0tfaBFiLVSpVOqxdAQqxl1BwAiuec5ybpMZ0eyflJML0SWDZyyjXcXNtm167ctD6tr9ENTCClFDJqQZsQSOttsuk3SMu4ALxg3FXkoHmuMpHrfNTlRw9/Sr4+epjfiSO5utL/BX5GK6mFyFXqVK3m+q3ab5NZPuKJjAAAkDnEc+pWy67QmshkosT5Au+XiqJTGmFMgbTKSEkBlJZAK6kXEb8ZTKjI8hQbMVm66Z6Fznkso3AgBsO76YOH/5Tt7/9RjMavxkl9ESglxWj0QEvJdZaFOssCurb2IW01b8AlmoKnYCgClDnIgw1oWWWgJC8yr2bzNNkwCk8Fac+7FJNVmuyJ0ehBtn/wp2z/4E9iNHrwOpsdLMK81QAAIABJREFUdJaHYjLZBxAiUJxO2ebGp7Td/ggSYoEljVvPxSKoNFlMWvwfPAkuz9lgLhOQUgdaVpm127esq7v/jlSr2wBCvCjxAIgIREWWHhrFhhOZpYVj1eJrSh1cLrUhY6VlzW0AFOVS2/FJDSLIqGu8pU3GQ+si82G+VieyQfrJ7+tizgGlZHZw+Nfs4PDPMgh6KkmmYAVd/1qInA+G97QQmc6yUGVZSNdaH9Bm8z3InpulM8+UMRdBiKBtVYBUHICT+YCAKb0zSMiLzodYjMd7fDi6l+3v/ynfP/wzH48frpyTaRxvtnC1us3W126xdvsjgDErnjs+ee7F8348PhZfw+J15g/2vOZTmZozwLbtw3rtCnadKqnXr2ohUqCV0mfHgy6euVISKC21efbq8ddaitnsKL137//NDw7/AhF6ZbmpBVQUj7LDo68U57HK8lDFyYS0mjdovX4VPO/ZQQjNocqqQIKZllJgqfgJ39tUBggkxH5WZessZBQNxXj8KO90v8/3D/6Udzrfy/nseBWf83nQnCdiOLyXAqAhoy4ul9u45LWQ69YL7cdVA54EsQhhTLCFKLGVY/u4VFoj9do1lWx8IsNwIIOgx/uDO2IwuCOm00MxnR2A16Ac81yYw+ZYaK2MxXQygYx5piJ1vp6kipOpmE0PxXR6qLIs0ErxVVYzJwPRffBD+tf5WA72bqffVZukXa7iRmuD7ly56XxSb5OtUZcfjvuik6UqzlOdPDd4L0guUuhccM3DmRyHMzk5epjd2b+b/TAd8h7P9BssnWsAFFdcJCK2K7S2drP6RRbyaTLNxwBC6FRZwypRH1PE8kREcrWBpj7pDj3NvVs24RenkIKfBQDwVnIBpzTxgNZaZWkgDdH/u/TBg39MHz3659ehSVYsynsAgD1rezvUeR5ppSUuec2FjhxYcFufzOSZLxl1wSnezku995l7oHMei+HoQbq396/Zg4d/SB88/MPr1opUWRYBACJkWVMVhH0xmx4CCBH2/S1kWSWIENYAPCHDtHTcLP7f8BUxwJheNJp8fJ9O5vtKTu2QEAe7bp1tb/3G+81v/jdra/PzVfzeZ7/fCjIfpxB+9dX/rpJkAqTkhV/5SgJNAMADiNAjnfNEZaaTHJdKa4XeHQLm+YPl84F5gLELrREnz7ngoKo0DfhgeDfb2/vX1MyHf37Vz7cMxsO7ssm2Nr9wb37wn5wPb/7Dsw4LqwJyHB8tM0e4APJO9wcVhoP8uPMNMHNjJeumjOMJAGCCy+WezvNYC546hFjE97dBoaSxoByerXIsKkAAgOcG3Mtwdl0EGmgZBL38uPNt+vDRP2cPHv6BD4cPVvEZz70WzlM+Gj2QUTTElfJ6QSVCyLZ9XXDrn7X+vRQW9w8AUDSGEgjAwqXNP13u0SZjnKssC7MHD/8xfWCVAYRQhtEAIij0S3hzrxpaKQUhnKokmYr5vCPjeIxcxzR1LWvwOwPDzRw/kNPZoc6ycNXuY9Mh7wMA+oTCHyk17j2tLbp74xPnb0o+qVWquDns8MOHP6ffRnM5CWdyovUzspraTDatgMozleSpikddfjTs8sNormZJKOdC6JXu3y8daGql1fQoegD/NEBWmVaZR8oQQYSIyfrkIZ+ns3ycRzxI53w8P473XvkqTXApZRxPeL//M/K8Ji6X1rDj1gwnaXUK9ueiKKXKedAV0+kBHw7v8/7gNu/3fxaTyX7Ba3mtXXoyCHrZ8fE3WohMBvMebTVvkJohuyPb8qFlrSTIPoEQaWGLOTCZzPHDvNv7gfd6P4nJdP9NOp1oKXMZx2MwGN5Lbt/5v8V8fkxrtV1Sq+3iSnkDlyvrkBKnWBQvNyOplNBCpCpJJjKKRiqOx+8kbS4ZWmsxnx2DQ4i0MM0XpNl4j9brV3G51Ia2XYGGErO6t+Q80VkWyiDsiclkjw9H93mv+2Pe6/9ceKy/wxuAzvNYDEf3TWNMOuej0X1Sq10l9fpV5Ng+sm3/WaoZF3tDrXWWBSrLQjGZ7ovJZI/3+z/n3d6PYji8X2TvXw8Kfj6kzNVcpGI2P0auW1d+JUWGNvC09vFruSpEEKUObbU+WMgGIdv2+XB0H1nWnsqylTXQvCy01hpCCGUY9nm3+yNEiNI1Yi+xN34KKo5Hxghkuq9yvvLG15P3UUAJofMokDN4DA5KPq5PBrzbWKfbww4/OHqQ/Twbiv50JHrnlM91kdHkkmsRhXIWB2qWZypVzwpQXwEvPcmU0goR9GDejQ/8DXfX3/KuuzWraZVYVWut0iCfxKOsPzuOHgX95FCtIjIuOHMqjsd5r/czsu0q0Ou3EGUuJAQCfP6JY1XQQmQqTQM+HN7LHj36l+zo+Gve6/0kZ/Njw8d5/Q4LhQPBSE5nh3m39wPb3PjMfu/6f2AAAIiqBKw40NRCZCqKhrzf/zl98PAP+cHhX8R0eiBm8+OC5P/mAk0hcojQWKXpXM6DTnaw/0e2tf0ba2vrN2xr83PImIuQgxcaoZd6LQtaQ5xMVBQPVRyPtbi8RegdwMKasCOLrHbe6XxvbW/9Rl+//h8Y2AAYYwouIdCUYTjIu90fsgcP/5AdHX8jp5N9EQQ9IN9+seZ/q9B5HvHh8L6YzY75aPwwPzz6yr5+/d/bAGhSq11BjHkrDTQBUCrL5nI+72b7+/+tyGDeF5Ppgcqy+Wt134Fw4bvuaM5TOZ8fyaq/SYRINSE2hJCumDr+YkAIQ8Ycutb6gDQb15HtVJFtVwAhVtEc9cYCTQDM+mFdvTLIu70foONWca22gxxwbgZfRtGY9wa3xWSyr/nq9KLPonBqVAjBaRKpuVPC5clAdOdTMRoc8/2jB9ntYYcfDrv8QMkXqhAU9GSg9IlmyOozy+dOMqtEK/6Wd63Usk86967+7RoAAACnajXdurXGPFKmNvG01sr2Wd2pWk2nZrXK6+nO7Ch6CAB49CoXWZw0gIzicX7U+UanWcB7/Z+wX9ksuv98aLESYlYJUmJDQi1IsAUWpHdcdN4aXt3iz4LQD8wtVlIv/paSAyFSJQxhXeeGtK6zdC6jeCijaCTG40diMLwrJtODy5Arean7YwK7HDE201orAAHUUuZiNH6AfX8bV8rryLYryLZ9ZFklaPyAGURFx6mRtkHgMTVBANMpzBfBksryUKfpXKVZIMOwL+ezYzGe7PHB4I4YT/Zkkkw056vvpr0AijIIV6aEwXmvf1vnPBGz2XHe6/2EPa+FXLeGbLuCLFZayDgZiahFd27RxVt0mhelNlWIvSuttSyahbiR7JCZ5nmiOI91lkc6MwLtBTl8n3e6P4rZ/HiVkhfvsBwFrUQiy5oApWQOIdJcpHwwvEuq/hYul9vItn1oWxUzH6xy0ThCFzw8YMrsZj6YrmmuF887y0OVZYFK00Bn2VwGQU/M5x0xGj/kg8EdI9acTDS/hO7yd3hhFBumgBjFKgwHQso8w5iqJJ6QanUb+/4Wct26WRutCrSsEqLULRr+CERoUTY1DS+PVRRMAwvnqSrGglkb05mYzY6N9/rgDu8P7qgwGqgsC7QQl8pBXNjdItv2ie9vOjc/2MK+v0kqlU3sVzZwpbJBqtVdSAoZPAjhSSPPovlR62IPfMGKFFxYY8CFbJZRwDj5/pOR7GmqyoKiQGrVba21VGk6l9PpAS6VpJHee3N7iQqjAe/2fiLV6o7Ot2KtlDzdFLSA1loDKTMtRK6iaCBn08NCh/VynOZOX6OhGcjNq1Y8GYhu/zB/NB+LYZaoOM90wnOdFUHpW4HzA80yrW58Uv/dxie135/9HiKIIgIpQhBDBDE4KXJrIbnKk1k+fvQvvf8LvGKgCUARbBIyyo+PYzHo34HUSBDhcnkdV8rruFLZKHTR6tBxiiDCKheuNi4kxNGn5V5Mt7Dxw17IsZiuyEzneWykLpKJjOKxjKKhnEz2xXS6L+fzjpjNO9pMBuMk8xoG1otAC5HqOOY8yyIxmexntuOTSnkD+5VNYsrHV7Dvb2K/soUsq4RMgOWAhfh8seAU0lDJwjVFzIw2qZhOD+RkeiDmZjFVcTJWxT0Ab5l/d3E44bpompKz2VHeOf4WMqtEyuU29v0t4heLcLm8gcrlNey6DcSoAyl1ISEWMH+MJp7WYCHJopUSQIhM5XmkszxSZpOZyygaqDAcinnQkfN5R86DrgyDnoqTic7zSHOeFkLw7/AaoDlPpJS5yvKQj8YPsevUcLmyjquVLbKgU/iVLeL7m5AZ9ytIqQModRbzYXHo1JzHKs9jlWWBnM2P5Wx2LCbTAzGdHsjZ/FjO5x1ZdCob/cFfp3f02wgtlYQYB4rzWCXJND/ufIvLpTauVDYKPd0rJvCsbCLPa6FTB09EqbPQiNWcZ1qIxLir5ZGK47FZF2dHcmrGgpjPO3I+7+jcrKFaSf5astpGusvClXKb7e783trZ/pK2Wjdps3H9tLJA0dzyZNncHKZyIERukgsvdL1wURXSyDSXQUIsACF+mSZJc+hzqiqKRnwwvKvSLCjk5N5coBlFQy6loO21DxeuYc9oAtSK81Sl6VyGYV/M5scyjkevcy/kmU4nA9HpHXB/PpVDwXWu5OocfVaF80muQvMsyKfhMO0CYE4ljs/qts8aIpVJOsvHMleZFCoHwASfmCKL2sSlNnFxwd1cBYpTIYcQBgBBBDFhMopHeB50UWl2gD2vabIUdrnYOFxIqWuynJiZbtyTzsvHXcPqsbAskIqrgnNVZC1mxjUg6Mkg6Ko4Gss4HmnxdgVWAJxkNhUwHXwhJGSm03Quw2ggg7AnzImxhUqlFqLUZPAKEfOTjVUpWZzSMmPpyZNCxHcgFq5LUTxScTxRbznfsNggJAAgBgDEEKE5QAirOJ7gKBrK+ewYjb0G9twGctw6chwfEmJDupCEwRQWepQAnEhZSZPxVVwLnuqcJyrPQ5VnUXE4maooHsowGqo4nqgkmbxMtpuU7arVquwQ32khZq7l9AcCGmjnSmOUj5MBHwzvpnfv/j9iOLy/6nt3mcj2Dv4oZrNjxCCxN2s3yre2PFKyq5At8WR+USglZZyHMsnnfBx28nHU1Y/9mzkAIECUzlWSzmRkOl/FZHqAS16zmA+OsQ4tOFkIoZP5YESm04UurwqjoZlTp13IXi2jjyimuGTXSMmukrJdJ2Wnbr6jgQizmZgnQxmmExFlc5ULM++U5CqKR2I4vJ9a7J9VnkdnTRTeZojp9ECMx49eB6+9aE4UwAQwU+TYkYrjsQrDgZzNj3l51MalUgs5TtWsAafWxoVOpJHvMeuiEKlK0pmKwqEMor4Mgp4Mw76K40nRjPRasLBFxb6/TpuN92i7fcva3vqSbax/jKvV7UJDFAIAgDJSf/NCdmii0izQnMeLz6OFyIHS4kW7/08qhKhQ4sBn5NMY85BllaBj+9h169CYaMDTmcHFnCNVf4u12x+pJJmpJJkBAFam4fiyKBqW5jrPY62UKAwInlap01qrOB6LyWRfzuddnWXhZWeuzyJNVNzZy+6liYrGXX4UzOQ4T3XyIhqarxPnLkp5xOf9O7Nvgn56DAAACEPcer/yafOG/2k8zvrzTryXzvJxHvMAAAioS0p2hdZKLWeL2NgRuVx5MFJkq5TWIldxNNJZFoD5vGMGeCFKbOQ7CIAIQ3S6XG4cURZeoQAuSAqnXQ1OgomFqwHXvNhspMzBG+BhXghKCZkmM2VEzYdwOLxndPWIBcwpFJkTKEInEh6PnR2MF7rWsigN58VilC300t7wp3t5mLK3Vmk61ZwnMgh6C71JcFI6LbyBT1EsTEbT/AIjiVW4mzyWbRFFgJ6bUrrRkVz8+2Uukda89crnu3/vvb/+JfXdFi5ZtZPLV1oCpdXkjw/+8/j/u/1/5gf7fxbj8SN0QfWANwUZxSMVRSN707/uvdf+3LnS+MjZrt8kvrNUo+5FoLnMsv58L+tOHwbfH/6Bz5IRONPFrKXMi8A/kmE4gGR4p8j0sGKdKA6gT80HCVThdKK0NAGHyBZrAjAaoa+0wUBKbKvtX3V3Gh86V1ufuFebnwBgarbp4fhOfL//dXIw+lkfT+4BAFIAANBC5mI6PVRxPBHD4b309t3/ssx69W2F5jwR86CjpeQn7luv671zHkupuEqzuZjNDo0EGrEgxtSMA4TBYt8AoGjTLcrKJ9JNUpzQZgrHm9e+LiJEIaU2bTZuOB99+D9b21tfYr+6jculNUipA05l4bRp4Ozz/uAO73R/EJPJngyCnkrTWaF9ysHC2elFceJIdqJNipFlVZBjV3DFVNJoq/k+WF//mJjK2dImJOR6Tbqx/omMo7EYjt7owVkv1FQAUKfuxdP3RGstg7DPO90fxGx+9Cb2xDRWwcG97KfeQf4wz4xQu+CaqzfYwb8M5waaIlNp2E+Ok2k+AgAAhCHxGva6klqks3w8PQjvR6O0l8ciAAAA6pKS17Db1CYesbB9WZH1qWyVBMXC+w5PYmFbWfy5HKuzXxD0Y5eLxT1564BtVrLa/hX3autT1ixv06rbAmDBo9JSKy3jh4NvAdRKzOYdAEDnDV/yhVH+cBOzhrfhbNdvejfaX7Jmeeuiv0tlPMGuVYEI4mR/9BNES3ym38L5YHQHIaI1r+xs1d4v3dr679wrzY+dItAEGmhStuvIIg6AAPJ5PIAIjrTSuvg8QfGn+yY/xy8NpzKcv+jmPOy6Vez722xj41OTydz4FNp2GVFz+NRaK53nieY85v3BHd4f3M573R95t/ejmEz2VRj1VZrOC/euV0qgFEYSCFmsDG27QiqVDTGdHaokmZrDG4TYcWpwiTwWcuwKbdSvidH4IbQuJjO2KiBKHeQ6NWRZFeP6dcac4bGcmVJh2M97vR/lbNZ5E4EmzxUHAIxe9/u+LM4NNLXWSuYq+//Ze68vSa4r3e/sfUy49Jnlq72BJQGQGEpzOVfr3istLc2DHiT9o1paepG5M5oZjh+SQwAEQLTvLl+VNjLcsXqIyLbVaFfVBh0/rlyFZkVGRtSJjNhnn72/z5qyexwpcuecY4L6RtlifpTvpsNi32irgBCiUjNHBHSOOBHxFhX0mdIANTU1Ne8lCAicCtb0u8G5wcfNTzb/grX8Hno8WGzirbTPUY+HVpo8uzv8Vu7P7gCCeZO6gzVvB7TT3vQvXvyP3rmzv2Ld7tnKr/5BuZq1xsyTAzOZbOU3b/5dfvPW3+npdNum2cQtXOFOKKPsrHUAYK1UKRirlFKZiecHpdqGkVbKVKyv/UwcE2iCEBFtNldps7GMnAewKF15A45BGIY9vjS4zDqdzVKT+kE/xyM4Z0wcH6i9/W/NbLbjzOtdNn+XeHagWd7MFrM/Qjla54hFChQpMGTIqUAPGXBCCAEEpJx6zEOPCfTxdWpc1tTUvDM4Y7UtdGoyGeukmKDPw7K7s3Lkud/RSoBg5d5V/e5ExKbfAgABkVOfRl5HLLXOBmd6H5DqPBfnyNvBEmv4veJgeoc2vA5Uk31yQgLnNe8eVa8Bhh99uOGd2fylWFv9lDYaK1gul98Xj3fWajOd7sitrd8Xd+/9S37r9j/YLJud1nFVnyurV0IIOaStVrpQdWCt1ipZJh88cT6MeYDIMPA7pfoHMmetJidkcvEi0Cjs86WlD1invQmCh4+vjizsNu2iFGE0vm2TdFg6itUcx8t5nRtnjLIyWgrWN78Y/MciVmOV6ZQAITxgUdAWvXJ5vfRDP+mDrqmpefcxuZrLo3ibRl4HEKieZUfAUODCk5tj6UjEKr92TgUw9JBTUTk3vfsgUPSYT30eVeeFT9RZAgBQQoFRgYIFKJjvyuaZOtB8TwHOffBERFutNdbrXaDN5ipw/mgznXPOaS3V0dG17Nr1v1KHR9eIfv2SW06pTE9nOzga3fbKRp/jgFJSjjLg3Cec+6RsNn3ty9EYRQO+svwh7XQ2gfMnV2SN1aZUHNg28XzfFXnstC5ed53xu8TLWFA6XZisiOWEBzQaXGp9onKTyLmaEkLAa/I282lAHCHFXE1Poxmopqbm3cdkci6P4m1CkVmlcz6c76BgAXplMAWC+bT87wA9HoLHQxZ5bWj6PRD4kwg0AQCRUYGcekCBPaWZp8xvIlBkyIEhB3m6ZgM1bzcgeEjDsE+bzRXaaW/QRuPxRrqFVF2qh6Nbxe07/2CLIqmsWl8rpWNdvG8m0y1bFMfWRt+3AEVkhJZSTK/aYPeiAAIQAhj98hcDtjS4QtutDWBPKmE4a7SdJ0d6OLxl4vjAFfKN/F3fJV7OgvLe/IazznpN3vEavI0M2KKEIZvKodVWFUlpRVkJttfU1NQ8gkllXBzO7upUzuTh7C56PAKKDBhyoMgeenH0eIg+C6NLK1+0fnbmv3uVxqG3CWedsYXOTK7mVll5rGafc9YZq60yuclVagqVVcuKNe8p6PnNUnA+6AHSJyUErTU2L2Ymnh/YLJtYKTNnjHoTNY+V2od2Rkti3z6NR0IqzaVSczuizcYyazZXMAjax8qFGaP0bLYtd3e/NnG8796g5fK7wktZUBJCbhBCbjSW/NXGcrARtEVfNHibOOJkomfZpBjGB9lWcpTvn/wh19TU/BQwabHomL73rG2pLyL0eWT+Qs7C84NPf0qBpil0ZjKVOG1kpdLxSF7TWWectspKndtCpVbq7G19YNecPgAAYmO9xSpnIzjGgtlZq22ez2wc79uFkcCbMhEoHXQUMUYR9+bsiX8UAEAhQoyiPm00lmizuYq+f6z1pDNGmul0R+7ufWPi+T5x9XfxWbxUjSbzqM886vfON88vXW59Gvb9Fa/B24QQV8zVbH6Y7wAC+k2Ra2lyXZi3UkqmpqbmXcFV+qXlP97wwZwc1lmnjTTzfJzdOfpj/M3Wb8SgsSH6zQ1bWWDKw3g73x3fSH7Y/Vc1zQ6JdbbuOH/PoZRD6XgnjnXiqVytrNbFm2qqWQCIDDyvAaWnuTh2o0Wm1VpTmSO83qw9IqWt9oZYW/mEdTpnCKX8CctJa02pxVtajeqjoxs2TYd1beazeeFAEwDAa3Lfa/JOeyM8v/xR9xfN5WDDa/C2c8TJuZpOd5M7MtFxOi4OSEwm5C3VLKypqal5kzhrLQBIHefj9M7RtzQQzejK6pesEXRdZeib746vz7669zfJ9b3f6Wl2WDdY1sAi0KTMuy8q/zCOOGKNckrn5E2XWSAyEKKBftAGxn5M7tC5hyyQT9st6mEAgdF2a11sbv6Cddqbj0hEPTg645TKbZZNzHS2rY6GN5wxqtKzrfkRXjzQRALNlWCzf6H5kdfg7dlOcjs5zHeglDFyzlijpS38Nu+tfNT95fDm7DvyBu2kampqat5mnHOO+jwtdic3iXNWTdLDfHv8w0KkP9+b3MzuHH1bHMzumlwmb/p4a94CnLPEGk2cNeS4hBoQAMoEChERSgU5TgfyNQFChAuHIAwW1qqP4oyRTqnMFfmMaC2JtfZ11JMCIgKlAsOww3rdc2Jt7VPaaq0dF2g6pXI9mdyTBwd/MnG877TO62zm8/EyGU1srYXnNr4Y/MVsJ729//3k99lEHqlMpwBAmE+jqO+vDC63Pu2da15VqZ4TQr47hWOvqamp+UlglcmLg9kdNUn301uHX6NgC8F2VzULJU7q3Op30Pq15sRx1hqnjayWl5/IqAEiBcFDDPzWM7KIpw4KEbFB7yJfXfmYRlH/uG2cUrlJ05HN8qnTpnhtTUsACEJEGIZ91u2d46urn6LvNckxTUBWylSPRrfU3t43Jp4f1JnM5+fFazSBAPdZGHS8/nQ7uTk/yLfnB9m2ynVCCAEesIg4YpeutD4N2qLPPBo8c581NTU17zHOWEtKgeuEvAOWcjVvFqd1YfN8VtYyHrPEXAZQIYZhj0bREm02V9D3Z07K9HUFSOh5EQZBV6ytXhUrqx/z5aWrGIbHZjRtUczNZLKlZ7Ndp+RrsQUFRADPC1m/f1GsrX7CB/1LGIU9QOQP1706aw2x1tgsn+ij4Q25u/u1mc8PXscx/lR4KS02V8ptGF2YXCZqpnKdWuOMNU6rTCcyUbEubG6tM29ETqGmpqampuYniHPOOaUym6YjVxRz4o7pJkekKESDRmGfddobbDC4RKNoQPD16c9iGPbE2uon3tmzfybW137OB4PLGAad47a1eT5Rw+FNPR7ftfL0y0MAAAgARd9vi431z4IPP/yf+NLSVUCkTzRXOWec1rlNkqE6PLomd/e+MfP54Wkf40+JV3IGQobcb/HuIsgkhBBkwLym6CAFZpWVrpbhqKk5Qep5W03N+44r5NzE832TZmOnVO6M0QSxtGklZYkbYUyA5zVZr3/BP3v2V9ITDUIIwTCYOKkSYow+iURQFbQhMOYBZx4IL0IhIrGxfsXb3PiF2Nj4nPX7F45bNnfW6sqP/UgdHP2gR+PbrpDzVz2mpx4rIiWUcozCCMOwxweDy97GxudiY/0zGkUDAkCf6DaXMtWz2a6uAmEzi3fJm5KKekd5KWcga5zW0uZhRwxWP+5+mc3USCY6BiAgItYK2l7fa4muLkxmtav9P2tqTgpHSpmfmpqa9xab5zPnrDHzeN/mxcxpnQNjPqH0kVVKoJTz1eWPwBMN2mquguc39dHhdT0a37Z5PgOAV191RGRAKafN5jJtNldYv3eRD/oXWX9wmQ/6l2invUGj8PjaTK0LJ2VqptNttb/3rT4a3rRFcXqBJmMeBkGb9brnRRVgirW1n9NmcwX4ky5AhBBi0nQsd3a+Ku7d+zczm+0SY3TdBPRivLgzECFEJipOjvI9ZMAaK8Gm1xLdYq5nAAS8RmlB6YzV8yO1K8tmoJqampOivsXV1LzXOClTp1RmZvGemU62aRh0sdFYAkoffaYjMtbpnGGt1jogUoJIpScawJhn5smh07pgrZZyzllSvhZ6tQ/uMosMHxAgpMpeAiD6XvWOAAAgAElEQVRBQILIeL/vA+cB7XbOsG73rFhd+Zivrn7Kut2ztBEtoec1Hjn2MkhzxDlns2xiZrNdfTS8oY+GN8xstuvM8zW8AWMcOAuAMgGUcgJACXG2moyXk3IoT4AAIAFANui3aaO5zFeWP/IvXvi12Fj/nDYayzQMuk/8jY3Rzlhl4nhP7ux+LXd2v6qbgF6Ol7GgNJPt5KbRVgYdbxC0RY9y9CgD7krB9mkyzPfymRxlE3kU72fbp3HgNTXvHc45srhJ19TUvLc45xwAEDOZbOe3bv89sc6Is2e+RCGiJzYGoIRSYL3ueWDM40uDq2Z+4cAmydCk2cjm+cxJmZSNRUYTY0urytIOFQEBCSBdLDsDYz5wHqDgIQgRou+30fdb6Ptt8P0WbUQDGjWW0Pea8DSBdmuNs1arg8Mfitu3/7G4d++3JklHzlr1vNlCGkUDvjS4QtvtTdpoLIHnRcRo5YyRxDrrnLP3l/U5D8ou/KBDw7CHzeYKa7c3aKOxDEKExx5iUcxsPD9QB4c/qP2Db9VweMPmeS3V+BK8TKDpAGF7fpjvdjaiC92zjSthz1v2W6LrnLPZVI7SUX4w2U5vzQ/SrXrp/M0BCAiMMqDICZR2rovfOWONM1Y5WzZ2PfFeACC4uMkAAgK978G8mCXep5oBu1L5jzhnnXWW2HKGfBoNYbg4r8XxPaYS56xzTpvCKnMq1x8gADAqgCJ74m+7OFtjtdVGHvf3fRncwz+Ok87DssAdsMw2QDmLr8asHLT7uyoPshozZ4kl1jlriXWmdp15NR58d5ACBQb01RowyqlF+T11xsqqQ/2tB2hVMwik+o4CEACo7iDH3Efu89D1WZaKuOr+Qpyz1V3m1O4t7wrOOce73Z3izt1/Qc4D2uueqxp+2EO1mlDdA5B1Opus09l0xmhirTZpOjaz2Y6ZJ4c2Syc2L6ZO68JpXZCykdcCACUUKSByoJQB5wF4XgM9r4VB0FkEbtXSeDW+x47pg0ymtdZJlVolE3Vw8H127fpf66PhdZtlY2fMc98rMQx7fGXlY7Gx/hlfWrqCUTRYiL0vaj8JIoWy6ac6Xr+Fvt8CdvwyeXWcdpFtVcPhTbV/8L06OPxBj8bPtMqtOZ6XdQZqeU3eaW9GF3vnmx8EHTHgIYsIIRD1/VW5Fp7tnm1cSUfFwdGN2R8JId+e/KHXPAvW9LvhheWf+5u9D2jotWgomovf5Tvj69nd4XdqON9Bjw9toTJCqhsTRYo+93g7XGKdcIm3giXWDgfU5xEK6gOnHjDKCSHgjNPOGOWkya1UmY7zsY7zkZqk+2qcHNhCJUCxOOmHo7/Z+yA4N/iUd8Il1vC7wOkjM2cT5+P4j1u/AYR/vf+oOkFo5Heiy8tfhOcGn2Dlw/3gw612xupse3xt/t32P5Ln8PJ+LhbBhnX24TpNQERgyGjkR7wTLvF2sMxaYZ+1gj4KFlRjJoAiJ6Wpgn7YO1vH+UjH2UiN0301Sfapx3OrdFEHnC8HeizgvcaaGDQ3/fXOJW+1c+FV9ueqccp3JteT63u/I4S81atEQJECRca7UZ81/T5r+G0aem0aihYNRAMFC4AhB4oMGOUE4UEgbp1x1lqnbeGUkVbq3Eqd2VylJpOxSYuZnhcTkxQTk8mEEPJel2bZPJ/q4ehWEQQdDMOekzJh/f5F1myuPvVNUC55o+c1SKu1hr7fcqqVuYVdpXXmfkC/mCAg0HK5nHJgVABjHjDuA2c+cBHen9D+GM4ZJ2Vm83wqd/e+kbt7X8t7W7/To/Edm2UTZ14wKQCAQClHIUIMgi5tNpaJsdpZo8miFAAACAEEzjxgzAfGfALwo3GPkzJ1UiZqb//b/PqN/6/Y2vqdTZKjFzq2mkd4KR1Nr8HbzdXwTGczutQ73/zAb/Ee5cihvGFUj3TnilhNqoxmHWi+AVgj6DY/3vh151cX/1L0mxu811hb/G76+9v/z/ifrv+fCSHE5CohhJTaZQAAFDl6PBRLzbPBmf6HwZneVX+jd5W1gwGLvA4NRRM9HhIEdFLnptCZSYqZmefjfG96M9+d3MzuDL912mrlnAV9vKjwq+Bv9j7o/vmV/zk40//IX22dR188UgdU7E9vmUIl82t7vyXk5K3MWOS1m59s/rr366v/C2+HS6wdLpHqRuuULqzU2eS3t/4veTi7S04s0CTWVQ+BR/7/MnMtaOS1vbXOpeBM70N/vXfF3+heYQ2vzSK/gz6P0Gchcc5ZaXKbq8QkxUzNsqNib3Ir353cyO4c/dEpU2iST4g2ihBSd1a+BCiY76+0z0dXV79sfX7uv7R+fvY/vcr+TFJM9CwbTn9/+7/K0XyXvMWBZpXppyiYL7rRqrfeueQttc6KQXNT9BtrvBut0obfQcEC9HiAggXA6X1BcaeNdNoom6u5yeTcJMVUz/OxnmVHapTsyqP5TnEwvVsczu4R5w7Iex5omiybAsCMIFCgyJy1Bj2vSZrNFfK0wK+S9gHPa1DPKyfIx0/E3Y/uo/qv5z5Ya62Tcm7ieL+4ffsfk2++/T9sHB+YJDl0Wr/wyhOUgSYDLkIMgy4tz/nHjv65jtVJlZp5cqT297/Lrl3/a3Vw8CendW2j/Qq8hAUlQHMlOLP2ae9XiISO7sbXHikcfgidmzTez7Ze/TBrXgogQChSoJQDQ44PZf2ozxusGXRpKFpAkaFgHg1EMzjTW/bWu5f9tc5FsdQ84y21NnknXOGdaBl9HqHHQuTUA04FAQBHqQDOfBQsoKHXRF+EvBet+ivt89Gl5c+KventfG9y01/vbqtJum/Sk+koLG8ywJAhB0YFPpbRBIocjvMAPinKyh8KFDkwFMBQLJbPrXMWrDOAyI71IX5JqjIHXQabxFFfhLThdaJLy+v+eveyt9q+IAbNTTFobvB2uMTb4TJ6LECPBcCpAEYFcc5Vfy8fPR5iKJo0FE3Rb677a52L0eXVXxZ7k5v53uSmv9reVZN03+TqtQgo/2SA6uqoro/Hr80XxZbXFwd6jMbfWwAgIPVFxHvRavOTzVXRb6zxXmONd6M10YtWacPvsobfoVGZ1SwzmmVmDBlyQu+7sDjCkDvLDHIq0OcRjbw2a4cD25NrZrl9TifFVMfZSE+zo3xvcrP9+bkbxcHsnjyc3T2tMpm3Heeco1E0VgeHfyKOOCdVqoajW6zT3qSt9hp6ogme11jcnx6T76kafU7+snJaF06pzGTZxMTzAzOb7ZrJ5J4eje/Ind2v7Gy2Z6Wcv6JUUJVJBfLE/f4FTslZa2yWjW2ajeXe3h/V7u4fi3tb/1ZZTRbE1TKNr8JLLJ0TbK6GZ9Z/3vvz4c3Ztzt/GP5jNikOjXLycYcCq53OJkWdcn4LAcF81vC6NBANoMiQU493ouXgbP/j9hfn/vvGxxv/gUVem0ZeGygyoMge1P2R+3U4gMgIpx71eeQc6fJutOpbq12hMyt1lt46/Dr+fuefkmt7v7NSZ+Q9z0C8Es5ZZ5wm1fcMA94Qg+ZmdHnlF63Pzv7n6OLyz2komuiXYwoU2DG1cQQo5YQzDwPXYC2/L/rNdWestlJlrtDZ/Nreb+ff7/xTcn3/9yZTMVlku2tqHqO8IyDSSLSDM70Pw0srX4QXln9WlpTwCH0eAUUGCBQQaKn1SPDB9fjguiSEEIKUgiOEcOrRBzXfzllniHXWWWucdcYWKk1vHv4huXnwh/iPW79R42SfEPJeBpqEEGLzbKIOZGLi+aEej+/yg/3vvfPn/1vvDPkz0m6t0cc6v18HThtpsmyih6NbcmfnK7m7943aP/hOHR1dd0plTsq0rOd/C2qOnbNmPj/SR8Mb+Y2bf5f/cO2vzGy6bbN85ozRb/rw3nVeSrC96uNClZs0Ocp3k2G+Z7XTjweazhGrC5OfzKHWnCTIqUcbfoe3wyXeDVcAIowur/4ivLzyRXhx+TNvuXUWBSvrMX8si/Kgx4QCIYTwstzKeTx01hm/8mZGwQJklAebvUhN0kM9zyenfY4/NaqMpkLBfN6NVj3B/OjK6pfR5ZUvwnODj8WguQmcCmTPyKBVU4T7g8qJ55xz1OeRs9YExSAFBETOfKDI/PXuDTVJD0xaxKd8ij8JnHHG5HKuptmRPIzvZdujHwDLYKtsrAAKiAwoUILVv6vJHDzs3AIvkpN5vQBFCoxyMWguecuts/5693Jwfulnwdn+R95q+7xYap2BRSb2xbKwi+lQ2czylI1MwQKCQE1axE7qgrznSgxVw6FBzkfaOeu0Lippnn3abK3RVnMVfb+FntcEwQNgPCjrLFlZb4/I7q/AVM1DBACqMh23qHksGwetddYaYox0xihnjHRaF6RsJMptIRMn5dym2cSkychMZztqOLypR+M7ZjrdsvP5gbP2lcfLGS1tlk1Mkhza+fzQeKIBlApCKa/E6+n983HOVfW/mlijndaFlTJxhUxsnk1sko7UcHizCor/oCeTuzbPY1J6yde8Ii8VaBplC5nouJipcTaRw3yqxu7xujFCqsvz5Ovjal4dLDOaHd6NVsSgdYY1/W77F+f+h+jq2q9Yw2ujzyPAV1j2rYrHRb+xwUKvTRt+Fzn1UbAgubH/e0JIHWi+KNZZp43GgDe85dZZsdQ80/nywv8YnO1/TEOvhYL5r7RUj0ABKHrLrbOs6fdp4LXQ4wF6PEyu7/+OEFIHms+BM1aZRE7VaL6T74yvVaULHnLmoaA+CuYBpz5y5gGn3uLf1OMhiNdnEfgqAKOc+jzy1rqX2p+f/c/RpZUvxHLrrOhFa+jxEAV9tWvxWVhn9Cw9yrfH19Q0PXSmDggIIcQZI02ajq2UqYnn+3Jr67cYhgMaRf2FzmWpGxn2MQy7GPht8LwmcB4AYz5QyoBSRsogjZIysNRlJtkqYoxeBJY2L2JXFHOb51Nb5DObZmObpmM9m+2YyWzHpsnQZvnEFsXcSZlapTKndX4SQSYhhDilM5MkR2Y63dGNaBkqJyQodUIFoVQAIiOIlBhryuNWuZUysVk2MXG8bybTLXU0vKGHRzf1ZLZlptOd6nxiYu2JOCfVPEegyQQVXpN3RMiahBDS2YiY3xI9QIKLznPR4C2rrXLm0ToGa5wuYjUhhNTaU28Z6PGQt8Nlf71zGShy1gp6wbnBJ95y64yzzjptlc7krMoY5Faa/H59IHEOCAChQIFRgYL5NBBNGvAGCBagYD5US2PUFxH1ReScs67MbjqdFjPeDsc2V4kp6vq/56Zs1KKi31iPrq5+KQbNTX+z9wHvNVaJtdZKnZtUzkwm567q1nXlLN4s3k4QGXIUKHiA1ZihYD6KSu4DCJRjKZpOm8I5Z5yxxszzMW8Fc1Oo1Ba6XqX4EZyx2iT5pDjELYJITZJPqxpZrwouxaLOGVn5kzX8rr/Ru+qtts+XS8xA38aEZiWhhWKpteqvdy5FV1a/jK6u/ll4dvAxa/o9GnrNx9/jKhWGUuVAp1bpwilT3L+fPJyMwKq2lVEODAWWgbgPnHrIqCCI1BmrTK4SNUkPi/3JLR3no9rquKRahi6q1wwQ9kB4e+h7DTqLd81kto1R2Kdh0EM/aIPvNdHzGsCYTxjzykw7UgJYZgPLQLPKBFrtrNXOGO20zt0iI1gUsS2Kuc2zic3yqYnjfTOL91yez6yU6Qt3kz8nVhaJnky3gVLutM71eHIXPBGhEBGhlAOlvMrS0jKbaZTTOndKZTbLpiZJDs0s3tOj0R09Ht+1aTYySTI6jWN933lmoMkD1uida37Q3ggvEFIWfnfONC55EW/2zjc/8Bq8lc/kWM7VTEtb3FflJ4TowmaVvFEdaL5l0IA3eL+xhqHX9De6l9HjEe81VokjzildmFTO8p3x9XxnfF1N0gM1TQ9srlIrdU4csYBAUbCgKtZf8tdKGRfeDZdRsCc6HlnkdYKz/Y8AAdUkPdSzbCiP5tukrv97boAhR8ECf717hbfDZRqIBmv43UWQqeN8lO+Mr+W7k5t6kh6oSXqwkIchhAAgUvR5SCOvLXrRmrfWuegtt89XY/aErhxrBv3w/NLPnLZaTdJ9k8m4OIy3CCF1oPkjOG2VjvOxKXSmZ9lRtjX8HgDoQluzqnWmD+nUUm+pudn79Qf/K++GKyiYB0jfzswmIgWG3N/oXu58eeEvo0srn3ur7QusFfQf7h5/GKtMYavAUI3mu3qaHup5MTGZjK3SRTUBJcQRtwgqKzm2FmsFfd4Jl1kz6LGm30VOvEqSa6zGyZ48jO/ZXCW19/TxOOscUJpZa5VTujBxvA+MekCZKJfMKS91lvEhreSqDp8APHAJuq+JbCs9U+NMtQxtrCp/GlmqBqjcKZ05YxRx7tQyzS4vZno0umWT+aHc3/8OuAjLXgJc1KY/0BF21fqqs4ZYa5x5EHS6QiZWyqTuLD89nhloIgPuNXk76vuldAACUga8SNQMEDDsesvMo0Hh07AMNB/YV6ncpHyH3j7dU6h5GVDwgDVJnzWDPtCylgUIAT3PxnI435GH8b3s7vC79N7wOzWa76lJsm8zNbeFzogjjlCg6LGANfwu70QrapLuq1l25K93LxPrLAaiQQPeWNScoccD4fGAWGfC80uf6jgbOWM1IOyehs7lTxGgyEAwn3s8EP3GWuWy5tQsO1LD+U5xML2T3R1+l22NflCjZE+Nkz1b6NQWKiOVFh4NRMQaXlf0m+tqnB7oaTb0N7qXnXGGBjxCn9/vTqWBaNBANEwm5+HR0s9NWsxsoTNAOKw1Np9OlVXKqtf4ed7jr3cvNT5c/2+cNtIx5EDezjiTNbwOa4dL4bnBp40P1n4VnOl/QAPRXExUHohyO2cyOTOpjPUsO6qCzB15GG+rSbKv43yk02LmpM6tNnLxzFhk12notWnDq2rIoxXeCZd5O1hCX4S2UKmapIfyMN7ScT4+KUOEnypVRlGR8nocvuHDOTGsUovMbZ2FfMt5ZqBptVNFrKbJMN8nhBACQIpYTfl+tlUa4jlrlZVG2sKWsivkfkZT2kzlJjnNE6h5OYAhp8AjQogjQNBKk+t5PioOZnfjb7f+Pvlh/7dqmh7qaXpocpXaQqVOW+Ws1aWHLCCkGJt5MVXj9EAezu6lNw++ii6vfKEn6YG/2bsabHavgoeP2HthIJrB+cEnzjmr43yY3Rn+sVrarR8WzwAQGAoKpFoFN7lMzbyYZFujH+bfbv99euvwqypbfGQKldpcJYtly+o9YDMZl9mg9CDfm94Wtw+/jsoGsM+Dzd5Vf7N7tfQMfgBr+t3w0vLnThslR/O9fGd8Ayia+gH//uGttC80Plj/VXR19UvRb65TnzfggTxRiXXWKiPzrfG19M7hN8XO5Ea+O7mp42xoMhnbXKVWmdwpI6su8rLhhJTXeNVoVC6bezxAj4U0FE3a8DvULyevVhuZ74yvPaEpW1NT89bxHIGmVflMjijHspMVCMFKv9Aaq612+gkdzdIZlVnjTN11/nay6HJdZCBcIqfyKN5Obx78YfbVvb+Jv773t05bZfXzSzsgp8JkMraFSgkSEL1ojZSdtGzRWEQ9FvprnUtAkaU39v8dA9FwUuUAkNVZzadTOjYBBULo4u9kc5UUB7M76Y3930///e5fJdf2fuu0kS8yZizyWiaTsZU6A4ZcLDU3kVOfUGT3M5uh1wo2eledMsX82t6/YSAattApqScH7w1Qdstj98+vnG9+svHr4NzgE94Jl9DjASEPrUgYp01axDrOh+ntw69nX9/7m+zu0Xf5veGfTK7mL5sJR045+jyilQsXMBR6kh446xxS5iEyz7mqDs9ZTcjp21MCIEVkApAKBMoJALVGpdaqzJXLtHUQXFNDniPQ1MoWySg/kJlOCCkfeGHPWw673rJM9TwdFQdGWfnITgX1go4YMJ8ea1Zf8xZRajMaNU724+92/in+49Zvir3p7TJ7+WLZAmedlgezO7E2igaiKfqNDc+2z7Fm0IdFDSAComA+i7y2GDQ3/I3uVTWMt+VwvkPqwOX5cKWPvDyM78Vf3/vb+Pudf5ZHsy2nzQuPmVWmKHYnN52xmkZex1tqbvJOtMyafp+UNqNlJrUqk/CWWmf8tc4leRRvEUJ2T+X8at4qABFpKJo09Frecvusv969LHrRKrDHajIdcSaT8fza/m+Ta3v/lt4+/Ca7ffiNmqaHVplXsjR1xhlb6MwZZ7BQGUGgNi+fSZ7fOROEgytG57OimG1plU2skSk5ZV1NyrymH/TO+0HnrPBa64z77fls5/fz2fa/G6MSAEydO5kO65qad5lnBppGGkkIOaxeBCkgE+g3Bv6azkwy38+2ZKbTh9/jRbzJfBqKkDUByOlJXNS8MqUEuCnkONmb/7D7r/HX9/7OFDp5kazY/X2VfubbhJDt3p9fWfU3elfR4yH6orGo4QJECgIpDb027zfWg43uFad0oUbJHqkDzeeiGjMlj+Kt+Nvtf5j/aedfTKbmVr94d6ctNQhvo8f2vKXmmeBM70OC5fgAI2WgWXpXU9rwOmKpecZf61y0hUpIHWi+HwABGnot0W+secuts95a5yJvBf1HtnHEOWO1Toppcn3vd+N/+OF/l8P5jhzOd05CkPuxbupHEF5ztdHe+IUq4j3rjHRWS2e1JKcdaFIR+WH3QrO9+WWjufZz4bc3gQDN09Ft55yxRuWkvqfV1LyM1zmA3xa99mZ0URUmw63k5uObUIFecznY6JyJLuelvNH1kzjYmpPHpDJWo/lOsTe5pafZkZU6OwlNOjma7yXX936LHgt4J1ohkdd++PfAkIleYy041/9YTdOD7O6wnpA8J2ZeTNR4vl/sz+7oOBuVmZ5XHDPrjDyMt+bf7/4zUORi0NxEjwUPb4Kc+QtJpSoDXfMeABSZWGpuNi6v/EIsNc8gQ/74NjaX8+IgvpvdPfo23xp9L4fzHZPK2VM8tE+UIp/em41v/73Rci5lvGe0nDtnT90lyJgizpKjPwEBgsgDAMqNkXVPQk3NY7yMBSX4bdFtbzYupqPiABk8cdOhgnqN5WCzd7754fjuvA4y32JsJuNif3q72Jve0rPsyOQqffa7no0aJ3vJtf3f8U60El1e+eLx3wNFznvRanBu8HF2d/jdK4nDv2foJJ/ku5MbxcH0rp7lo5MYM2edLQ7je+T7HRSDxkbjg/U/e3wbFNQrA83+OL11+NWrfmbNuwFQZN6guRldXf1SLLfOAn0y0DS5SvLt0bX5D3v/lt0b/kkO5ztVmeTpB5rZ5J7MZztVXaZ9HfWZhBBidBGnyeGfjC7m3GuscRH2jZG1xW5NzWM8W96IAlJOPRbQMOx6Sxuf9VcGl1qfNpeDzeJC88MiVpPNXyxNCFlYUxJc/3lvqbUenmM+C5DhS7kP1bweTK4SeRRvy2G8bXN1YrNxk8pYDkspE5PK2CpTAIUHFnsIlEV+x+s3N2jotR7vdK55OiaVsTyMt9Q43as0Ml8d52wpMk5QTdJDk8uEKk9WPtWlHSCjnDX9ruhFazQQr907uebNAAiUtvyet9a5yJp+j9AH7kWulLOzJpNxvju5md4+/FpN0v2Hl8s9v7PpB52zSHlACAEApADIrNV5kU+3lJwfAjKByDzOgx7jYa+0oHQWABkgFdaoVBbxnpLJkTFFbI0uhNdY4qKx3Old7DMRDpScH+Tp+JZW2QiR5oDM9/zOJhfhwDlriHO2ahzynbPaWasIEABAplU+ybPxHWt14Qeds0I0V0tnIwBAZADIVDHfL/LJPa2LmbU6d84ZQojx/JZ0zur7GpM1NTWP8MwgEBApD2gY9Pzlpcutnw0utT7pnm1eaS4HG4QQRzn1dFWUDVgKU/CARkHXG5QS0VAHmm8xNpeJPJrvqOF8xxQnk80khBCTybmVJleT9HAhzIzAELAUCARESiOvvaj/qkSsoe48fzYmlXFxGN9Tk+TAKnMiIsPOOgeMzhYi4yZXc6eNLIPMKtCkyFnD74petLrQ26zH6z0AAVnD73kr7fM09FqAD00KK5thk8p5vju5kd0+/EYnxSMGHX7QPd/uX/xPnId9AKSAVCDlvlbZeDa+9Zskdl9T5rcY89tBNLgaRktXCQFKiDOAzKfMayiZHM2nW79N5nvfyNw556wRfnuz0Vz7LIyWPwobyx/N490/TI6u/d9pemictIYxvxU1V38eNlY+dlZL54xiPOgwHnSsUXnZsAMUkflZNrppjMq0zidRc/3zZnvzlwSAAkGKlAdIeTCfbf9uNr71G5dN7hBVS7LV1Dwvzw4CnXOl4ZTJilhN0nFxGPb8FS1NrnOdqUwni0CTAAAgoTLV83RcHKrcpPPDbPu0T6Lm5bHS5HqWHelZNnLy5JwRnLEaAIzJ1VzP87FJZQyIbNHJTIAAMiqIz6NKGLzptJWAIF+0c/p9wxYq1bPsSM+LiXuJBqCn4bQpxyyVsYnzsWkFg4UMFiGkVAzg1MNyzJoYiiYKVtgTvG5q3h4AEVFQj3XCNo28Fo28FnLmV24rhBBCnDbSZGquZ9mhnqZHOs7HTplHVEi0zmdFPr1ndDEFAohMNDiP+o5Yw1jQ8fzu2TJziZyxoMNFtKxUNiry6S4QQMaDjnPOchEtBeHgijUq0yobG13MZRHveUH3PCAViMwDpB4ArZxhkDHmtxgPOkrOD41WCRdlFlQW8Z4p4j3KvCbjQZfrqI+U+U5qqWRymKejW9U+KOdhn4mwj0C58Frr1ugsNyojtUNWTc1z8WwdTeuMznSSGWdGzrl8JseUIQ97Ymm2l94b3Z59LxMdV5uXRTLKyiLRsUzULBvLo1M+h5pXwClT6Hk+0UkxsfpRmapX3rdzrvPLC7mO85GZ52Pq84gQ/kDyigIFSjkNeIM1/a5TJtdlU0sdaP4ITpnczPOxzeTMmZNtenDOuf5//DDVs+zIdKMVGoiHvauBVGLaNBAN1vR7Jimm1eSgzvbe88IAACAASURBVGz+xAAKFAPR4K1gwMIyyKzqM+8HmlaZXM/SIzVO9k0qp6VF7aMTxSIf3zY6GwOUk0wmwp4fdM9zHg0AqQjC3iWti5kxxbzcM0CRTe5ORzf/xlqdcxH2hdda94PuhTBa+rDIp1vOHf0g8+mWVtmYMr/l+a0NrbLJE01AQAhxRqsi3s+z8W3GvCZxvfNKzg+TeO8r4bc2hNdcRkAOBMDoIk7inX/P0+F1QsqFdT/onveD7nkAyoXXXLVGZ7KYH5DaWrmm5rl4ZqBZPUA0IKRu7KwqTBoN5mtBRwwm28nN6VZyU6Z6TgghzhHrrLNGWVnM1VSlOq6zU283VhtlMzk3mZpXVmUnu39lCjPPJyaVM/dQIFuJgYNDoCCYTyOvbZJiAqmMf2R3NaT8m+qkmJlMJqfhzlP5po9NKmPXedDNvhgzQCx1NSO/7ZQpTCqBEFIHmj81ECj1eYM1gi56PCprrB9t2nNSFzrOh3qaHdn80euxdLUlyHjAAZkHgNQ5a4EswkmgSEUIANQ6I40p5s4aZa1KlUqGeTa+a42ca51NAJAH0dIHjPltSnlQlWzMCSHz3tIHI6OLuKybfFJKyRFnjSliJecHRhdzQqw1WsayiHeR8sA5a0hVN1q+qACkXvn0c45Ux4vIfKQ8pCwdIta9BzU1z8tzf1mcdRYZFiTRbrqd3AQgJBnm+7O99K4ubLmE4EjpSmmdtcpJa5ypMx1vOcZpI3Vmpc6JcScetDhlpEllbDI5P1aCBwhBTj0aiCZw5hOsdVefhVNG2UzGttApse6Vpaie3L/OTVJMba4SZ4+5JoAACObTUDSrejx4ci817zoAiOjxkDa8zkIH93GsNlLH2VjH2dDKR13gAIABUB6E/cuN1vrnSLlvrVaI3Oci7CPywFpdWCOTRR2wMSpTMh1ZLeeEOFM+TYxy1ioAQEDkhOCL3SMcKY2Src6tM2XjjjXSWl04axRxzkK11M5F2G+01j8PosEVa41y1igmoj7nYd85a5zVOVRNQi/9h62pec94oVmZ1dYAQp6OigPiCLHGKiqoD4jUWWeMNIXObGKN1VRQ3/N4wDya6+JkGhZqTo5FE4ez1jhlClc6d5x8oGmssrlKbKHTp2g9AjDk6PMQOfUA6hv4s3DGKlvozCpdnMaKgdVWmVzNrdQ5OTbQBEBGBXo8Qoac1GP20wSBomBBOQmk4rjgymkrTSpnOimmD9dmAgBQ6gWUeQ3Pb28E0dJVAKBKZRMApIz5HUAmiCbEWp1V33vnqsxm1dVty6yi1Y5YS+53rL/oZNQ5R5xx1mribBm8EmucK+0qHSEOABllXpOLxpIf9C4E0dIHWmVjrbIpY36Hcb9tjc4NcaYMNOvJ1ZsGEJFQZOiJCEO/A4wKm8u5K2TilM6tVM+soS2tfZEBpRxDv4WB17aFTFwuY6d04bSRJ2E48L7z0ul/55xtr0cXWmvhWUIIkamezw+zndHt+ffFXM2aK8Gm3xLdeD/bIqVbTM3bhSPOVQaUVjtj9WlIczjrrDNWOWOeun9ApMioVzad1EHLs3DOWVuOmTkVORVrjdNGPe2aACAAFBlyKoAiqwfspwlANQkUzIenqIc4Y42VOreFzp19eCIJwHjY9YL2Gcq8pjUyUTIZpsnh9wQAg7B3iYvG8jHfd0cIce41l2Ig5YHwmmtlHSmgKpLDNDn4PkuOrvlh/2IQ9i4BMkHqAPOtATjzIfCaYn3woXf1/K9pK1qWW/vfqO2D7/RwepcQcu+ZO0GkGHhNbEYD7+LGn3kXN75U24ffyXv7X5vRbNvM5gekbvp6ZV4q0EQGnAcsaqwEm0sfdD6jDIRM9Xx0m/0pOSr2jDRFYylYb62FZ3VhclIHmm8fjhDiSFVV6/Spzdqcs1XQopw7PvsGCPeDFgL1jfw4HpERKoN3TawzpyEvVF4RZaB5/P6BAAUKnHqklLqpx+ynCAAAoxw49eFpNYnWWatMYZXOH6kXBgKUiQYXjWWkPHTOGqXSYZ6ObhIgQJEFAJRTKkIC+LiG7jPiTAAAREDKEZB3BlcCQMYRmUepCCnlkaU8Rcp8eHLfx4JARdXdbgCQGiNTWcx20+Tw+zIDK5qUBW1KRbRQjEakDIBy4bcaiNxHoBwp9ykVkbU6t1YXiLSoNDbfWAkZMMqBUu6s1aSaPP4kZMkY5Rh4bbY6uBJ+duUv2UrvIn7td5w20uYyJs8VaAIFTzRoO1rxLm3+KvrVp/9b/u3Nv3aFSp1UmUmyMakDzVfmxZ2BELC1Fp1b+7T7K+eIPfjT5N+9Bu80Bv4qD1mEDBgyFGHPW26theemO8ntUzjumlemLKctf57qx1hnnSHWWXLMJ5VV9oCVMDitA80fwZVZ6MW4ndrDwlWBbClIfdxnAAGg98es5qcKAAIDTsXDIu0P45yzRFtFtFXEPaQW4YgzOp/JfLYtRLQkvOYaUhEh5aGzVnERDijzGoQAOPci9qkAAJRT5jUX3eCN1vovfL9zjlLRBADKvcaKzKfbAJQz5neeZ6/WmkLJ9EirbOIHvQt+0DlPCHGcR30mogEX4QCgXHFZaG9yr7HqB91zQbR0NWwsfyT81kbYWPmUAFCZz3aKIt5VRbwri3iPEHIyxgovCFDK2KB9hvU7Z80sOTDTeM8VKgXEekn46QCByn6mfh6dCC9jQYmt1fDs+mf9Pz/4fvL73a+G/xwNgtWo762IgEXIkFOOPOh4g9ZaeM5r8Of6ote8EdwjP07jA1y50Ouse+oyb6m+ioyU4uCndiw/AcoctDs+aD+xDylFuI2z1j4lzCRQTg54dTOu+SlShlQMGeVPnVBUk5Iq+20f/oXWxYyQGXFu9WdcNFc8v3NGeM01a1VaNtaUDTnGGEWqW4N7kG1bvKrdPfg3InJGRSOIBldb3XP/wQ96F4Tf3mQ86DHmt7hoLBc8WrJW55T5LVK1qZKqWPPBJPuhk7A61yo50rqIKeWBH/YvMB60/bB30TlrygYiXVircwJIkTKPUh5GzbXPGq2NL4Kwf0l4rVVCCGE86OTZ+DZLx7dSANQqG5M3Fmgio732pri0+Su1c/idUyoz1hlSy8g9zIPrrbyGnYM6xDxJXmrpvLq1aJWbtJiriYh405qT736tOUUAgCChBADhFF15AB7OVh5ff/nQUq0h786KDhBEWi73vzafdiBAsOyQPb3b4IMxQ3rsp7gHY0asM7Ww0U+VBzXc5GlNZwAAFBjQR5t0nHOOUl4Ync+SeOcP1uqitJ2UqbVWVU0+ZtEBrnU+qySH9otsdKvI411rVO6c1caotMin96ajW39LqWikydEP2hRxlhx+b63OGN/pcRb2ykYimWidT7VKx85ZTanXIABQZOO7WmfTJN792hqZ5Nn4jlbZJM9GtyZH1/9f56zN0tEta3U+Gd38mzwb3TJGptaozBFniauakpzVSiVDVcwPCADOZzu/V8V8PxZhj1G/ZUwRa13EWqUjrbKxlPMDa5/dlHIaAEWKgR/yld4l/4Nzf0GsM2Y4vWtzOXcAJ+YC905jrbZZMdPD6Vb2zY3/aibzfX04uql2h9fMdL7vTsh57X3nZQNNa7VVOtdpEaup39JddwrSODWnCpSlToDlMgE5HS3EspyKETw+ICsr/6uGJPvUpdq3DwACWArOA76g3MpLf2a1pFOOGQICnIp8WBVokqdODsoAxBqrqq73d2PMal4MRwhZNAs+rb4aAAkiJQjs8WvFWl1Ya+Q83v0qnR98V+2yzCgu9l/9u1LGs6X4JsD9INQ5BwCmyCf3ZBHvESDgrFXOWZ3OD/+UJcMbAOX3odybs/cDQ0IcVLJJVZBoEr33VZocfuec0c5aZXQRF9l0i1QeeIQQp4r5wQyQlWlQ5x4+0nI7a0rtTUKUTI8S2P0KCJbH8MjnW0ucK7d9zQACAKMMPB7ylf4l/4Pzf2Em8a68ufWvMKNHj+uhvq84Yw0gxiaXST5NDorvb/9d1byqiLXmqROsmhfixQNNR5xWppCJnomItwZX2z9rrYRnwr6/4qwzyx+0P8/G8khErFnEamKkrQtp30LuywgtslcUKSCQE5fLQaDAkAND/tQsnLHGKlOQU+p8PyUAECkw5OQ11Ck+LPv0UMaRAYI+6WATEBBY1VF+nJSMKy1GS0ksq9+VAat5QZyzzhhlpSmeIk22sCUVyJn3+PfgoSXwonq95GGUpiHV62Fk9XoRHn+PJYQ8blTxIqtzhrzCuZ0aSDmGQZd1W+vYCPvgiwgYE+UktV4UfpiqVtWSctzrTO8p8MKBpiOEmMLmxVzN/Lbor/+8/+dR31tprgSbi22yiRwSQkg+lSOdmzdSm1LznFS1dkCRnYYm44OghXJy/Cy6XJ5TRlYPs3cibilbAqog+nVnB7Ds0ycU6Y807Lw8ZUe5qGown9ROJMQRWwaapcj/OzFkNS+Ic8RZbZVTOndPKY0CLNUHgFMP8Pk6vGtOH6DIsBn2Wb99BkO/A3VjS80b5CUyms4mo3z/6Pr0a6/JOyJkTZnQeToqDgghTlYe5/lUjtJRcZCOi8OTP+yakwJoaSeIHg+rQPNEl3mAIkefR9RnYamT+SSlHIVKbCka/7xRy7O3g+p/7mTLAgAB/M0eA069UmPw9drR3Re4Fyyw1hpywkX9yKigPm+gxwOAY7K1zjmrTGFylVhtitNsTKp5gzhnnTK5ydTcaSPJMd8hoMhpKFo08tqlqHvNjwEAZW03pwKjsI8Le09PhICLySNx95UfjFFOqsxmRWyzYla+8idsejHwGrQZDjD02+CJhv/ppR4fdM6x5d5FNuicJQDI+p2z/tVzv2ZLvYs2y2fRlx8/kg22UmV6f3hdH4xvP16vT6Ogja1omUZBF0O/7YzRam90TQ8nW089V0YZcOZjFPRYv30Gfa9hZvMDM0sPbZbPbJrPnnjPfRF2HmEzGtBG2APBQxAsWGzjpEpdoVK+0jekssR9XtMIDP0WbTeWaRT0IfBa6Ing8W3MdH5gpvN9m+ZTmxex0y9mzQwAAB4PMQq6GAYdDEQTPdEglDJCkRFrNbHW2FwlrijmJskndp4OXaHSZykBACISBIq+aGAU9srx5iEKHhCsyp1cVbqhrXLGSJfLxGbFzJXXzux5hOxPmhd+QFrjrNfkd4uZmoRdbynsectB11tKh8Wec85lUznMRsVhMiz20lF+IBNde1e/xQBFTgPRRJ83rNSvtMR1HMioYKFo0kA0jg3IXOWHnsmZlTojT6kFexL32M/XAyBAJTDPUTAfPRa+7kwOMipo6LWoz0Mndf7/s/eeTZJcWZbY065Di9RZEgWNRiv0iN2ZXSNptPlEM/5HGr+RXJrRKIwz2zOc7dnuhmgABZTMyqyUoZWrp/nBPRIlsoDSKHTnMStEIirr+XvhHu733XvuOeDx0t8LAVLskMCpYZcGZ8raWGCM0LlO+dzI80DzzxbGGsNlrjM+L5oiTm2/TwEpdkjo1knFbSCKz7SpPMcDKCs8yHfrbLPzHt3ovk/qlTVcj9aRw3zIqLekLFghU5PxhZ4nA9Wf7KjeeEf2R3cBAI89U3Hkt9j22s/oavMt0qhu4kZlDVeCDo6CNor8JoAAso3Oe7gStK2QWSlf9tC9Vs/ik+R3X/7PajjdK2lUp99rXA1XnMsbv6Kb3Q/oSvOKzUUS/+uf/icAwJMDTUpcHHoNurnygf/h1f+etOvb/M7+7/nO4R9lb3wHQrh4rAEVIQwZ8XC9ssYurv+CbXbfx7VoFVeDLii1B/QsPtGT+ZEazu6r4WQXkidWyx4DrgQd58rGJ2xz5UPabVzG1Wjl0d/hd/b/Lb99/3fyeHjLDib3wDPcXyEqOPQo8Opso/seXW1dI536RdKsbkJGfehQ30qVW6Gycg174rD/rbh/8qVWcw4RAt8bbCKIISUOrkWrbGvlQ7rSuorr0RquhB3IqAcpca3WEmgjTM5jk/G5Hs0O5MPXz5sfaEIIoVtlGDPEMEMOZthBGCKjjQYWmELlDDHiII96JFDnHM03GogWQQvxnYpOxWM7zBcFZNjBoVvDvlOB5LuMhy2ERgqPG64ylfC5ESp76vK9BRYYo22h3fd4oFM0ziCIEC76Al7SehDC0CEecmmAGHERwRS8Zk0myIhLAqeKPRqphL/0c4Yc4pHIrWOfRQ86wpyeM22U4TLTCZ8Vge5Phld7jmeANVbrXMZqkU80lykw1lhoISiTNgAAgChxSMVr0qrfRi71IULoz0YQ/BUAUuqRRmWddOoX2YW1n7OtlQ+R71aR51YgxQ7ExT3SWquB1tJKzVHgN4AF1gqZl041j6MM0JDrRNB3K8h3a8h3q8h3K5ASBwAAAMEMOiyAGNFSbu6he60VMgUEOwA8XgGCLgtxo7LB1tvvsK3Vj0zG5/irO//P964VIQIZ9XAl7NDN7vtsvfOOjtOJGk739HRx/OhdE0IIUeTXSLu+Tdfb7ziXN37NNrvvI5dF0GUB0FZZYzQkhCGHhctMJ65Fq8hh4dOdAFjYmGJMISUOdFkIKXEgJW75edVMzhdqMNnV08XxE40KnjS861RwJWjRleZV58L6z+la621cCTso8hqQYAYwZsAYZY3RyHeruBJ2oFvMXTHi6mncAwBMnzQ+8r0aaUTrdL3zDruw9jHtNC4j360il4VgSVErtauRUsJKzSGlnjXW2Iwv9GT+o5jnPJdge30rfGvlvfov3QqrM59ExEEOIogBAICRRmhpuOI6z+dycvTl6HcAgH976TM/x0tBkZFw6jh0amiWnn0Te96xEYT131zxSMVr4sipL6+RJWxhdShMLhMd86nJZVpyDn8QdllaMk+yYSzdawhi5d+/FEoAJIgS36mSyGuU5ZzXzntCjLgkcptF8J72Xta4sFAfAO3/5v2AVP0W9p0KxPi7e0SxMVBGKmEyEauYT6zU4pV0vp/jR4c1RuuUz+U06ZuUL6w2sij9fkengAy7pOq1aM3vYI9FkCBacq3PVUjOAArcGru0/kv3yuZvSLu+jevRmposjsR+72urFAdKi6KBkjDo0AD5bhUYqyFBFDrMB8XG9jHYXMRqOL1vtZFoON3DlaBDWrVt2q5fIJ3GJdJtBGowuSd2jz8zi3RshEgebfAyWT6TJ8NbpV/ca/1OF5lAhEmjuu69e+k/sMvrvyKt+jby3aoez4/00eBby2VquEyRQ33ospDUK2ukWd3ElaCNqkEHmB9+dphFOuT3jj7Tk/kRvxd2cSXo4ErQxrVohW2v/oxtrXz4Iusgjcqac3Xrr9jWykdstX0NBW5Nz5OBPOh/Y4TKrJAZdGiAHOqjKGiRbuMyCv0GroRdsXf0eX5j918ghLMnbdRIs7rhvnvx79lG933Srm1DQhw1mR/J4+HNIpOpJcCYQUIY8pwK8t0qABZARlzIiAeeYCX7qvEcgSZAQctdab9V+5BQ5NilDV6pT4EIJsTDvgMooD4J2Q795lVM/BwvB4gSl1T9Fql4Tdifv7TSV1laZthnEQmdGvacCD54kyz4X1yncqEzEetcxFZq8dSZEGO0lUYU0itncMcgQJBghh3q6yLr+azdqWcCEuyQitegNb+LHRo8LTfoZQI5JCC1oIMjt/Fo8P4iKNQBMMM+i3Do1pFHw4c8rq01RqhcZ3KhMxmbTCTnmas/X1htNMQo1QmfqpTPdSYWyKUhYtRbNpYggikM3Cqp+i1a8ZokdGs6EzEAIPmRp/9GAnlOxDY67zpvbf0GEuICBJFZpCOxd/yFyfKZ5SKBCJGC4+c3cD1ag5S4Os7GVsgMPIEvaLhI1WRxaDI+hwRTFLh1k+UzYKyGgVsjtnFJTxbHYufwUzWa7es0m5a821NYpbiexifWvLwK0FODEIYY9UmzusUurf/KubTxKwgANLlYqOF0T+wefW5yEducL3AtWsGNygZp1y/QZu0CrkUryHVCk+azHzqMyfK5FTLT49kBZNRHgVcjreo2XWlewZWwC7ZWPnie6UOCKSSEude2t4pM7MoHyHMqVqpcTxfH4rD/jUnyqUmzKQq8Ogq8GtvsfrgMllHg1SHBVPUnu2ow2YUEi0e5oRBC6H301opzcf2XdL39DqTEMXE20qPZvjjoX7dcJFbIrCzRe7garuB6Zc0KmZk0n1mpcvsUwfirwHPJGxlllOI6TwbZ0eIk3RepSoyy0jyyCC0Nnx4kd1/abM/x0oFcGrBmuM6a4Vp+ML75ssbFPgtJxWvRWtBBLgshQexBHU1rrFYJn4pRfKRTMS/20E8ftFhtlREqt8qIMzOaCCLssRBXvIa11kAI05cRFCGHuKwRrjvd6jYOnMqLjvc8wL4TOe1ok/eCXUjJS9kcQAQhqXhVWvGapOq3yuath7rOrdJSLfKJHMcnOhPxeZD5FwBjrVVG6ZhPeH++zxrhKqphBhAuvsuF1BbFPquwbvWCu9m4xo9nu+A80HwIZSYYsa1VD4V+CwV+U0/mh2o03Rf3Dj/ldw9+b4VIy6wxAhhRSKmLXBYChIgVIjWZWDypdG6V5iZJJzbnMUAIYy5SFPpNU8+mVhb0FstFoudxX03nRyZOx4+KkVtjtOUifj2fyMNAvlsjzeomWWleJrWCNymPhzfF0eBbsXv8hdg/+coqLYDSAvbGd5HnRGyz+wHQWgGECKT0saaeM2GsscBIYKUtMrrWGJeFOs4aVsj0ednmyHeruBp16UrzKu02r0BKXHnY/0YeD2+Jg/512RvdsVLlVioOKXHLIHFicrGgq823SLO2RVrVbdJpXCTD6Z6eJ30AwGg5ftEEhBByWYirYRdS4ujx/FAcDW7we4efiv3e16DU/4QY06KhigXQZSEoqE6pSbKJKbzbXztewBnIyGSU94Z3599kUzFUQufmEdF2a6yWqfpRLtxzPB2wR0PWitZZM1pHLgshQuhleOBin1VZO9qk9WAFezREj5Z8jNU6zqdiON9XST592pL5ElZpabhMjdTirAYiiBDGHoto1W8bLjMwz0bgBTuHIITQWa0FrB1tON3qRew71RcZ73mBfVZhncoWqweryKH+SxFuhxCR0K07K9ULtOZ3kEP9R8+ZUUaoeTYSo/hQZy+fz3uONw/WWos9ptQ8G/PebBdR7JCK14QAUAAKKhUAEGHfqbirtUti1HrPZDKBCB2UBJfzzQgAYOmdDQl2Ci6gU1Un4rbqjXfkyei2POrfKGSknk/c3Ur1kD4oDjyOG9m6yfliGVAaoTIdpyM9i/tmkQ6MkG+M/ifynArtNC7RTuMSqgRtYIGVJ8Nb+bf3fisP+tfF0eDWo//GvbyRoshv4iho2UrQehqHNvsdjUoDADhyqNZeNkVpXgbkzzl/36vRdv1i2eW/bYXMxGH/2/zbe/9ZnozuqNHssaYptt6JrVI5xIjQbvMyaVTXSbt2gbRqW+VcTgPN0hMOQUZ9FHoNiDHTi2SkeuO78nh4Ux4NvgXGmjfVv/7ZA00IIKaIUY8E1fXgEnWxLzOdaGmEeaSRQ3OdDe/MvwYAXH9ZEz7HywVyWcjalU1nJb5IG8EKDlgFMZKVHejPDVoPV8IrKz931+pXkEODR//eKqPEODnJ9kbfqmnaf1YNT81VKmfZUKd8fpYrFSSI0XrQddfrV00uEjFY7L/IeiBGGDHCaMVrumv1K95m821ScRsvMubzggRO1elWL7BudYvW/LYcx0eI4sxI/dz0AIggZu3KRnht7ROnW73wYOPWElaoXAwXB/nB+JaaZ+MXW8U5fiqwxigxjA+S2yefIof6Trd2ATDwUCYdeyz0NptvW22UjvMJ78/vGy5TcJ7ZLGCtBQZoqzS3OV9YLlMU+k22tfKBjrORnheSOpCSIVBa/qVVC5DDAlyLVnEl6CBKXCNkqsbzQ3kyuqOfkIVbltVVo7pBWrVt6DnR6573Esh3a6RTv4Rr0SrEiOicL/R4fqiG0z2T8TOVd0zOYzWeH+l53LdSceiwAEdBu+Dtzo8e+mVrDTAGWFmUwZHrRKRZ27RcxmaRDG0uYr1IRxCh8Y9CffgBPFdGE1FMqUcCv+6065vhZWOstto+5lDCYzkTRUbzPNB8Q4E9FmKX+nKa9Gg96OLAqZZB34sFmo1gJbja/YW7Xr+K3TMCTa2lnMTH2f3hN3Ka9J/V6svkMlXzbKBTMbfmcdcSSDCl9WDFW2tcFf35/otyKSFGGLIim+Ou1a54W423T7s5XzNw4NaQxyKnW9mmNb+DfRaVxP7n56EihJx2tBleW/21061eRBQ/tjYjFRfDxWF+OL6pFtnorGHO8WcIbZUYLQ6T2+hTZ6V20erHeYLYo5G32XwHuzTMjyZ3k7u9L9TcAohgep7V/M4liW12ucnEwgqZ4shv4shv6nnc19P5MbDAmozPrTYvVa7spwDosBDXSpkeShwbpyM1nh+ok9HtJ7lSmYwv1GC6p5q1LcNlgn/MQDNwa6TTuIhr4QrAiNiML9R4fqCGs/vgCVlGk4tYT+aHepb0rVQcBV4DV4IWqVfWpDt4qIu+/A7p4BfvZCbNp6BR3SDN6ibEiOjZoqfjdGyNNSbJJqVE0hv1nXs+C0qucz4X03RkTvK5mCiuMy2NfJRoqnKdxf3sR2mnP8dTAgIIAES06rfDt1c/AcaY5G7/c+zQb602yij91HZsECPMmuEaa0brtV9c/NBZqV0kFa/1YBNQ0WluhEr4TAzjo/xoclvNs5F9xtK5TvmcD+YHap6NrDLyVMvxuyYFxlrRhpVa8MF8Pzsc3yKhO9GZWFj99OUFiBGGGBGnU9n2tlvvhm+vfcI6lU1IsANfg/Xk2ZMq7C9ZM1qP3t/4d5Agmt7tf4Eccq8Q6X368htixGHNaD16Z23bu9B+3+lWL5DIqz+oDWq1UVZpoWI+FsPFfn483dFx/qNwfc7x+mGNNWpRnG/en9/ng8UBAAAgj0Wn9AoIISSI4NCtwyx08wAAIABJREFUhddWfwUssNne8Hq6N7xOq/5IJfnUqifYWD4DIMEEezREDvWBMdpqq41QmeHyJxHQmjSf8XuHn0KMKFlpXSXt2jZpNy76PyP/oLbXfqaniyM9jwfeB1cGep4MzDzpmSSblf7bL/z5vamABFPksgBQ7FhttBUqB6p0i3uStrI2ynKRWi5ScEay4XUCEuIgz6ki14kgJS5p17f9X737P9D1zjsAWFD9h7997Nqs/LefeMhh/lIC6dRFj2AHPEGbWY1nB/m3935r0nxGu80r0KE+21r9CEVBW08XR3qyONaLdOi+c3FgZnFfz5O+4SIF2sgfs6z+XBaUKtdZPhfjeJAfT/fj23whp0po/mgJ02irspk4z3y86YAAkqrXjt5Z+yvs0EBnIha92Z7hKgPP4PsLEcJOp7odXlv9tX+58zNntXaJhG7tQTkUa8rO5YTP5GhxmB9N7hih8mcJ/gAAQKdiJoaLfTnLho92TwJQyDY57com9lmUHY5vOfcqX3I7t4bLDDxD5g9ihBEljrNSvVD92fZ/DK+t/tppV7Ygff36mQ9PDEDWDNcrH2z+HWLEVYt8IsbxsbHqmaScECWuu1a7HF5b+7V/of0B61a3EcXOw+es1DpdZBMxmO/zk+mOEfqN4Xed49XCGmMgRhOd8rnozffEYHEfOdRjlLgPyO0UOg+hUwuvrf3aWaldnH+++/9abVR+NLmtcxmDZ/MQfwwQQggZoSR0G6Tqtaw03CrN1Twbm8K44I2XVDJJPuF3D/9g0nzqaaNwJWgXmpqrH1suE5Plc9Wf3BNHgxvyoH9d3D/50kolrJBLv/c/T2BEoMMCSIhjjVFWyswqJb4vuLZGSyNkYoRMn5T1fF2AFDvId6rQZREkxCHt+sWgEnasUk981sAHeLuQUc+k2QRgxAAlT7RzVaPZfnZ9559MyucQY8a2uh+w7dWfOVc3f2MyPjdpPpWHgxviaHBD7ve+svpEWWOMtfKlO8g9C56rdF5+PJgFJAya7goLSKSlkaV49imM0MIUF8A5n+sNgzVGlxloCCFEiGBGa0HH2zJvV+Ktf49d5otxfBJc7h7rXMQmk4lRWhTZQ2tB4fVNECUOcqlPIrdR/Xi7E1zpfhxc6X7srtUvY5eGEKOHG0pymeSHkzvpvf6feH++Z3KZPI/kguEyU3MwltOkJ0bxEQ6cGvZYhFhZzoYAQood7DtVf7v9vs5EnB9ObvGj6V1/uzXSKZ8brnKry0w8LD4HiBGFBFPk0RC7LKh8sNmh9aDrX2x/6F/qfMRa0QZyaQCMNVZpYbTRkGIGCWbwFUodWWstMFaXc0UQQYQc4tFGuOJfaL2vUz6nVb8lx/FJcKnTKySjZFLakMnC1AVCRBCFlDjYoyGJvEb14+314Er3Y/9y92dOt3IBMew+epPTCZ/lh5Pb6d3+F2IYH5pcZT+WTMY5fhyUWXIdvbexM/9q/1+M1AIx7BYZf0hOrxmECA6cKiSI+Ze7PwMIYnejfpX35verP78wNqmIDVepkSq3SktbXtNwWYtACEMEcSEXgx3ECptXxIhX/+urAfadCq16LeSxSPRme7w/3zVSS1hk2N/4a9IqJcwiGUgIAGTUNzlfFM5AlTXkshAy6i1dZXBYeJXL/nhH9cZ3Sb2yZ3K+MBn/CTXYQgggQAD8wL2x7MovLYMtMIWN4vf+m4d+70fOZpfWogDCogIkZKami2OT5k8UX38UJs2npbzRvSdJNVkuEz1ZHAnacwCCWE3mh6ReWcPVoAMZ8yElLq5X1hyXhbgSdEinfkn1xndlb3wXV8ITm/P4J2FBCQEACBfa/LTlrnpV1jDaGmCBeVTOUGY6KZ2B7r2k+Z7jJaFg1RoBIIAAQwIwwthnFadbvYhcGvjbrfezvdH1dG/4jRgtDpcyRCaXKTBGAwQRYoWDDK0FXW+z+ba72bjmrtWvuuv1K9hl4VnexzqTcbY3/Hrx9cH/x3vzPavNY9zep4GROrfaSDlJeqI/u08itwEJIqeBJgAAQAARxY5/sfU+a4Vr6e7wenpv8CU/md7j/fmemqfDwmPdCIiKIBO5NPhO8ilaczcb17yt5jusGa7Tqt/GLgsAgtgqI3UmEyNUjgOngs9onnnZKLQetIAYYYAhgRhTEqAq3Ghew6Fb9y92Psz2htez/fENMVociVF8aHKZmFymAFgLIETYZSGOnBprRhveZvOat9G45q7XrzortUvIJf5ZnZtqkY+Tu/3P4xtH/1WM4kNrnu+cneOnD3483TFcZRBB5HQr28R3KsAhHkSgCDQhgBAjil2G/JKKISdJT06SnhgtDsVgsS+naV/F+VRnYmGl5lYZWWz0ACw2bYRhj0bYdyo4dGs0cpuk6rVoPeiSyGtij4UAAjj/+uBfjNS5ivMpgBCDl2zF+kqgjSo6wRXnaT4Te8dfkGZ1kzSrm6TbvEJXmldwvbJOVppX6Hr7bcvFr9Vgsptfv/dPOShKpwCAn0agCYteaVAaQfwg7GM//JRQXMHGaCtVrmeLE357/3eyN3pqeUcrZGoW6UjP4p5epMMzf0cqbrXR8mhwU0/mR+Luwe9xs7ZJWrVtutK8QrqNK7gadp1u4zJb77xruUj4vaPP8m92/lHcP/lSjcwB+ClYUFoLbDYVw/FefAtTxAB88lZFcp3JXKcvOMdzvAJYbaTORWIyGetcxIhih9aDFeyzqHCe8ZqIUQ+HTk1Okp6cJj2dycRwlQJrDYAAIUocHDhVWvVazmrtsrNSu0hrfofWgy58JGDRXKY6zqf54fhWujv4Ot0dfi2nSf95A5ay1G7Ct1aPk7v9LyAjLnJpgF0WAAgxLL1vLQKIRF4TB24NQAiRQzzWCtedUXxRL/KJ4TKz2ojSrpIgh/jIJT6tBV1aDzpOt3rRWa1dIoFTgQQxw1Umx+mxjvOJEZoDay3rVDaxz161pqbVKZ/LWTYoM0GKBE6N1oMuCZwqdohPQreGHOqTitcszlnaM1xmJQXCAggQcqhPAqdC68GKs1q77HSq27Tud2jVbz96QJ2JhYrzaXYwvpneG3yV7Y9vqHk2ft5zBjFCEEKMQ7dGQqcOMSYAAQQhRADBh18f+Tl6f9NDDvW9zcY15J5hN4cgwj6LaCNY8bZb7+mEzyofbmXAFhkPa5avoHgtMsSnf2eNUVYbpVMx13E+fZ4Oflxm9pHHAgghLrJzpRXqI2ssrrfyFQIUvbO2ztrRJiSYPZpRhhiR4rqN1sOrK7+sfrQd2IfXZc9a44PvGaFytcjHOuXzF9kkqDifGqHydHfwNWtXNq1QOetUt2nFa0KCKMSILKVYSOQ2SOQ2cOjUaCNYoc1wlbWidTXPxzrlM52LxCojrDKqrCjA0jSAIocG2GMhDliFBE4NR16DVrwWDpwqpJhZqQXdH91ADvEe1Xt9k1E2BanyTwoR7JuMz/Us6etFNtLzpE/b9QukVdvG9co6rgVd2m1eNnE2MlJmZePjE/3FHz/gy5o4sMV19kDVsqgBPVlaDSIECXGeis9ujLZKCaCNWuqIFt8fBJ/Y2FJkvhkkmJ21QX6tKMr9eUHjstbkIpYnozvi3uEfn1pBQGtpuExsLmKT5Wd2qpc8y6WU1QwxOtJJNtHzuG/idKhncZ+0a9umVdvGtWgFV4MuXWtdM2k+s9ook4sY/AgV5mcPNI0108NkJ1+IKfwBI3urrc7n4rxs/gbCSs1NImb5yfRefjC+hXwWRu+u/XVhO4gI9mjorNUu0ZrfMVLlRqjMaqMKHq4tCrEIYUgQRZQ4Zak5RIy44Azuoo75LNsbfRPfPvljujv4mp9M72muXngTIkaLo8U3h/8FYkRYq7JOa0EHEczAg9cmKh5htBGsYo+G3nrjqhYyK+0TFTDWgsLBGUEEMcSIIEZcSImLPRpgj0XlwwypmE/Tu/0v8pPpDsKIIo9FyKU+a0ebL7qW74UFVs6yQXZ/+K2aZQO1yCfuWu1y+M76X7FW6EOCKQmcmrfReIs1wzUjVW6Fyq22+ruufAghhhhizJBDXOzScOnZftYh5SwdZnujb5JbJ3/M9gbXef+Ut/vMgBBCSDGFFDvuWu2yv916H3kshBiRIkDBDBJEURlolO+Vr4guy6esFa2Titd8bHyMCKl6bcSwi10W+tut94zURXlWG2mUllYZWTZLyfJ9VQQ6hSarzlWSH03uZHvD6+A5Ovhx6Nb8i+0PWKe6jRh2IMEOIpgs6RiQIPbAz8UrLtaMA6fqrtYvI4d6jz6UIcUODtyat916H7k0VLN0WKypoEWcsa6H/t8oI9UsHSQ7/T/pTCYQQf0CGzxhuNT5/vjm1AKrZumw8uHW3yGCGPJZiPHj3tCIEQ8ihLFDA1YPVozU3GotrbaqNGowAJShYrmxgBiR5bWBCGaQYgYpdhDGFCCILXh+Ka83CdZYixidKalyk2QTeTK8LUKvgaKgxTa777vvXvx72q5fJKutay7Bjp7FPQDAH59u8Af+++IztcBaXSiSlNcOhAhAhCFCZ+o3Qlw6HDnMBz/kGa61slwmVmkOMCKQURdizACC3zM+LnidjPnwjOvudcJKzW3KZ1aqHCCEgbFaz+Ke7I3ugHIr+8ODWAPKDe/3cTsf+idaC7NIh5bLRM/iHto/+RpHQQtFftu9tv037rsX/x75btW5tP4LYIxS/fEOAGDnRdf7rHiOjKa1oIiIzwPInzCsMcZqreQ07Sc7/S8QxQ4JnCoimOHAqWKPRSR06iBym8/DPVzakhouU52JRX40uZ3cOfksuX3yKT+e7ciXpMOoYz7J1USQyGs4a/XLiBGP1v0uCd368mEFSv4X8Z0K8J/NzafMHFmTq1SnfJ4fjG7Gd04+zQ8nt0noNlgjXHVXa5dexlp+YCJALbJxfjzdEb35Lh8uDlScT3Do1gAAAAdOFbs0IBXSojW/8+zDF/IrwAJbZLrFIj8Y30xuHf8xudv7gvfme2rx9HyjxwABWAaMTqd6IXx77de4OEf0NJgoLTDRMih76BUzRDCDDDtnSS8BWDpBOdTDvlNxVmoXi6BLS1MGk1YZYVQZjH33KqzSUqdiXmiyGsVPpjsAgB+0s3sUJHCq3mbrHf9y+yPEqAcZdhDG7IHAkj261geCa4YY9dAZFAyIESlUBsI1ErkNKzU3y7nrh9dhlZHmu+BTLANN3pvtynFywo+md62Bz9Qw9iCWlQTssWNdVDcscmlgtVasGa6Sqt9BDvUQIw/ZVAKCKThD5uyZj/9ddqjgLGurSy7fT7LeCgAAJWcuB+U1hxh1ocMCoBQnnfolUotWceS3IMEMh/5jm6wnwBZd+UYtpeOKbTSmZcb82e7pxmortbBKCWusAQhiSImLHBqU4uKPNQdCSlwc+U0U+S1I6fc6mFmpc5NmE5PzBbDAIko85LtVFHgNW2ThHktKQEpcHPpNHHgNSH4cqbkllq5LOM2nwFoLMaIQQQyMtSbnC5OLV1LZLbnTaflnBAAAyHVC5LIA+W6VrrXfJq3aNm5WN8ls0YNnVYNeA37UXcA5fjxAjAhkxLVScTGY7+uUzwEosljBpc5H7mbzbUSxA896qD8NSpK/GMWH2f7oRnq390V88+QP2f7ohppnZ/JPnuswSkub2yQ/mtye/XHn/1LTtB++vfobb7v9HvZoiL0X/GIZq63Sig/m++nu4Kv0bu+L+NbJH+Qk6TntyiZixDHi+bJ8zwirU7GQo/goP5ne4yeze0UZ1Gg5SXr+pc5H7kr1EqTEgeg5+aKm8PwSvfletj/6Nrl98ll86+QP/Hi6o+IXCDIBAEU2FRFEicta4bp/qfMRidzGMov8QFm5oD0giCBEj70PUfHekw4BEMCQERdjRK0h+rQ0bq0+zSxYax74WVtjjU75XKdiLkbxAXpOW0/sschdq10JLq98XHANETstjxeNAqhcG/7ufXj6/vdmZQruI0EO8QDFDBXz1w+XzIs1PvKescZq7NIguXXyR4ggBha+cPeplZrrJJ9m+6NvjVBZfji57V9sf+Bttd51upUt1oo2l+f1RY911uGttdZoI42QudVlg+KfCazWEnCR6DibmGl8oufJkDSq68ihAXikufKJY1hrrdYSSJUDU3ZuY0Qhoz6kxHnW82K1loaL2HKZAG0kxIgUtothWy/SMTgr0HSdiLTqF2irfgF57Hs1Lg0XiZ4sjvU8GVilOGTUw43KOu02r6jRdA+cFWi6LMKt6hZuVjehw154E/MiMGk+lf3JDq5X1+1a+23kORFZaV6h4/mB7I3ugDPm/6pgleIms9os0qGeLI6Q79aI64SQUhf+UGb5FeE80PwLReF0g11rjJazdMB7s10jNVcJnwGwLNc5Vew7FVSWLwFC5UO/JHgDcMrdscuHty5S/4ar1HCZZveH38Q3jn+f3Ol9lu4OvhbDxdH3TuwZseyGxS490JlIdMJny/IkrfkdUvGaEBfcMYgRBgiSUlYClhkXWKyiyMCePqDL0qPJZapzkWR7w+uL64f/Jb3b+zw/LORaEMaUVL1WKa3yamGLQFOM4iMxXByIwXxfLfKJyVVqMhlDCDGEAGHfqWCfRWXZmZzyVWFJVgcAnK71u3NWlFi5Sk0u03R38HV84+jfkp3+n7J7g69eVvZ5SbUgVb/lrNYu0zNK4M89dll4BRACiAAG5NkkTlXKZzoRc1L122c1sT0NkEM81ozW3LXaZUgwe1nlvNOKAobkece0UnESOFWAIAT6xWW5jNISACAhRvfFJDnhxWZ1ZrhMDZcJMNZARryyM70ogyOIi3vIskHkoe8gAGCphmvLfuJT7qleamaW2r5CJ3wqJ2lfJ3xquMre9ECz9KouOIWMuBBjZrWWQBu15NsuS93QYagguSBcSP1obrVWJQ/x6dZprbFCZSbjcytVDqy1hftOuKLjdIgyvkCu8911UHZ7W6WEVY8L8hdUq2xq0mxqleLIdSJcC1dIt3EFEHwfea4sp2YhQgRgRJ2L62ukXb+AG5V19AOBoM1FrMbzAzJZHJtcxMh3q6RV22ab3Q8AABYHXrzkVS/v487F9VXSrl/A9WgVOtR/mmsAokIzp+yGh5DRU4rOUtKt5IgSiDEDBQeUFldmcd8sn3cPHUsn2VT1xzuqXb9g03wGCXZot3HZJPkUGKNwFKTAGGXNAxrHS+52+f2wxhrLZVKeL/MgN7VYM8aQYhdS6kIIYJGtNuqUp12eAMgoLje20ColgNLCGqOttcb+SJn/80DzLxQQQQIpKcp6ECLDVSZG8ZHVRplMxNne8BvWrmw67comrfsdUvM72GUhcoiPGHEgQay4kAsx70I0WaVylg7VLB2KYXwghosD3pvt5ieze3K0OFpmTV8FrDJSp3yWH03vWLNjsoPxLadb2Wbtyiat+W1a9ds4cGrEdyqQYbcIBCCGECJrgbVKCyM1N7wQf5aztK+m6WAZ2PHebC8/nt6V4/hYZ2IBrDU6F7Fe5JPXkdG0wAKTibkcxUc6zidWW2VyEYvh/MAao5ed4awTbTmtaIPUgk7hWU587FC/5LgxYIG12igri3OmMxGreTqU07QvhvGBGCwOeG9anLNxcvwyeLTn+DNGuSlT83yU7vT/JKdpP93p/4k2wlVWD1ZoI1wpG4Lqy00QKgKtkhZR0AKWD++y1KsLjrHOdS5Tk8tEp2Ku4nyqFvlYzpK+HCcn2f74Rn44ua0SPn3T5bYgxQ7y3CpuVNbpeucdUotW9SIZ6kU6tEJmVsh0mY2GDvWR51Toavuac2H1Y9KsbFghUz2NT0z8lJs+bZRJsomazI9Mms+ANhI3Kuvute2/Qb5bFZ5TNXE2BoVRBgQYU2C0UqPZPgDgsWSAyXlh99isbZqMz3El7LKt1Q8hQkQc9q/Lw8G35cbVotCr40rQpt3mFdptXEa+WwUEM/A9jkcmzWeyN7qL69Eam632lmVf5LAAhX4DBW7dFrzzDPlOFQVeg6623qKdxmUc+k1IiGPlk2V7lskFiAkFFDsQ4yL54LAQR0EbhX4TMuoV54o4yHdrKPQbuBK0IUK4SKBoWYjIawkR0g/yRk8zmo3hujga3KSd+kXSaVxGnlvFodfAjcqmSfOpSfJpsa2CsKAeEA8FfgNXgo7J+JzfO/pUnQxvm4KOcMrThE5ZCu82r9D19jsQI6Ln6dCk2dQKlS2DUwAK33joOZF7eeMTtrXyIXJYYGZxX4+m+yUN4bXjPND8SwVCGBHsLDs2S2/zPkRoyI+nO9hzIm+r8ba72XzbXa9fddfqV8quzxr2WIgc4gEIkZU611xlOuVzHfNpUdad7mT3R9+me6Prap4OTSpic8Yu+WVimWEBAMQQwT186+QP7kb9LXe9cdVZrV1yV2uXWT1YNY2giz0WQYd6iCAGEcLWWmN48UBTCZ+pmE/58eRufjS9mx+Mb2b74xtqkY1MLtOlUxKihOlMxmqRj3TCZyaXyZKTZsuA1UrNgXl6lx4AALDWaiOXgbtMdC58AACwygi1yMZiHB+rhM+sMcpIIwAAKcSonx+Mb5LIa3pbzbe9zcbb7lr9irtWv4JDp0YCt45c6iOHeMACa6TihqtUJ3yu5tkwP5ney4+nO9n90fVsb/iNTvhMZyJ+Foehp10dsMBaqYXJZaoZfq4S9auAyWVquMys0uJZ7VCXsMYaI1VucpkCYiTE8I25vxqusqLE/HLHLZuKFABgAgCYQIRuIof42GPh8hpk7WiTtaMNWvO7tOq3sO9UECMeYsSFjLiQIFpmcEzBo9XCZDLWKV/omE/UIhuXG6FDPpjv8+PpDu/P9kwuE53Ln8ZGCGOGAq9KOo1L3jsX/45udt9X/cmuGk73TJrPTMZnQBttrdHYd6u4EnRIt3GZrnXeQS6LxOHgG3k8vGni9KkMUKw2yqT5VE8XRybORoaLBEdBG13a+BV0WAAxpnqeDIApOv4BIY4VRQMhOCPQtLmI9Xi+r0bT+yZOx2C1hehq6xquhiso8GqQUb+gSxlNGpV10q5fxFHQgl7hlFMGa08ONLN8brhIVb2ypifzA9KuX6Dt2jZpVrcKRREWmCyfm5TPcTXskkZlHVXDLq6GHcioBzEiVoDTrN5jgAV1BzrUR75bhQ71IcEOcp0I16NVXAm7yC1ksyCjHg79Bq6FKzbnsWbUK0TzVWpyHgMu4tIk5DQQNGk+BwDMnSubd+TR4Aby3Apda12jncYl5DkVXItW9XRxrCaLI1BWXpDHIuS5VdKobJBO45KeLk5Mkk/1eHYAH7EULufUZJvd970Pr/53kBFP9ie7ero4timfmVzEwBoDALC4ErRxJejQjc57dKV5xcTZRPbHO2ow3TX5j6PB+sbcCM/xmlFIkCxlgL4roVhrrSqkj3hvfl9zlYrebC+90/scOdRHjHiQYlYEqKUepzbSFsFLpuJ8ohb5RM7Svl5kY8NV/rqzDUUnJxFinBwbZYQYx8f5/dG3yGMR9mgIlzvaghmHbLnmIjOruREqU4tsrBb5WM3SYSnpwh/sHLTGaJOJmA8Wh9M/7PyfYhyfnH6MxiirjMqPJnfEMH4mC1Y5jk/mf9r7R34y3cG+U0EO9csxdXzr5A8q5hMrtXioTGSttUoLnfIZP57u6JQv8uPpXXLr5I+I4eKBXjSeEACWlpJGGqlzk8u0OGfZWE3Tvk74zAjFf1As+VlhrTVcZdbmdv7V/j/rTMTIKTIIbwKsVNxIzbO94XW1yJ7LXlP05/fH/3rrf0l2Bl8uOZgve57PCzVL+um9/pdW68esgl8qltdiLmI+mO8bLlPen+1in1Wxx0Lk0qDsHicQIwpwIdBeZDTLBpaCF/1ghSEzuYx1KuYq4TO1yCYmV6lVPyFPcGOU4SI1aT7TSTYlXKQo9BrMcyrAWG2t0aCkCAAEMUCYQIyI6o93TJpP+d7Jl2L/5Cs5mOw+1fGsNVbK3MTpmO8ef4HCb/83XI1WcTXs4krYca5sfmKlyq0xRaez0lLP4p4aTM7UvLZaK5OLRA2me9k39/6zSfkM16M1HPoN3KhsuC4Li4ys0ctQT/bHO3q6OMGh33DfvvDvUOS3gH2CO02RDVVqPDvIrt/9JxNnE7rWehvXK2vI9+rs0vqvgNS8nLMGxmg9mh2I3aPPcTVaca9t/w10WfSkTSJ0WYgDr05XWm+xi6sf43plvaDyYAf6bgUHXp206xcBhBDXozV2af2XpFXb1pc2fmWFTK0x2sTZWJ4Mb6ve+M6TMr96sjjMb+z+s1mkAzWa7JFGdQNAiHCjso4rQYeud94FS6rWd3QfpBfJUI2m93WSTaxU3D6aoFBamJwvdJpPdZxNSD1ySaOyTqrRykPXjrUGYEQAQsQqLcTu8eeyP7kn7h9/KQ/61808GTzV9fOScR5o/oUCnjoxlPy9EiX3pOBfIZTywfx+qWUIH/i98qeC3viAjIY9fWCU3do/lrC3EYpDBI/lJOkV2joALnk5D89/CXvKEDvl4QBrQaFJ+Bgnp8z2LSBCiZzEx9PPdv/vh2dgi0aiZ8wKyklyMp9lQ7DcADzY8K+LLtLH5lLcXA2EcK5TsQAn091HeKhLT/vnWuvLQDlmBiHMF1/t/3bxzcG//pgOno/DLp1GnvmcLcEHi30xvnUMEHpjAsxTlGXpl5+lfvwwoNT5gwilYrg4gKfX4ZPuIQ+N8LAsjy3fsIW+DjhlUr/ZnMxHYbUp5HsyPjNJNrFcJrgaruBq2IWM+pBRr7hnGm24TEzGF3o8P5RHwxvioPe1uHf4qTjof3OW3e6ZxyvKuhmkRIu9o88N5wv36tZfu+7WX+FatEpXWm9Bgpi1wFqpMhOnY3kyvMV3Dv9w5nhlxQiH/m7+DfgnPYt77rXtv0UX139BmtVNtLXy4VK7VY1m+6o/uad645385u6/4NBvklZtmwVu/Uk8yvJ8auSww/z6zj/q0WzfzS/FzhX0CWkRmmYyAAAgAElEQVRWN+lG593lvUqNZvfVYLKrDnpf59/e+y2uVdZIs7pJVltv2SdskJf8VHZp7ZfBJ+//j3S9896pmEpxbaLlPRfXojVcDVeABafcR2st0JP5YX5j759zuueWnfZnBJrzIz2L+6o/3mGT+THbXvmQrXfepSvNq8j3aijwatYYA6zVJheJzflCTxcnajDdU6PZfZOmE6MUB49sBq1S3ORiYZJsZpJ0AmrhCqlXN1Do1YsGL8yAMbowBBALnfG5OhndEce9m2L36At+7+hTPZkfPq1s0svGeaD5lwwIHrzxP4YHOChvNP/pSbDGWgihgYwGiDKfRJU1ElXXVBL35WhwW+fZM0vYPH6MQu4FvCRXkvKG+0xjIUId5DgRiarMSJFZpTJrtLJKvXEZn0cEqx8CxJggygLkejUSVdawH7bkaHBLjAe3H9XRg7BorsCuV6ON5mXs+U0xGtwUo8Gd17WWR/GAmPIzg3okqKyHF6PVYNuJWM2JaO3R38nGvD87WNxJBtmxSORcZi/Gn6Ue8YlDvGgtuFDdCC8rrrPFcbKXjfO+iOVM5i/KPbYWAgiDlrsadLx1t+o0nYhViYM9iIumPGus0VLzfCbG+ZQPk356GA+yQ6NebUD82mGsskLmaro44TuHfzCLdIh8t4Y8twKWouOgbH4qM3dF1/niWE3mh2oyP36Qh/fU0EbpRVFuz421ero4Qb5XhQ4Nyg5ka7WWpQ5jX/XG36uxaKXM9HTRAwAAoLRQ/fFd6LAQuixYBoImycZmngzlcLqrx/MDk2ST9LMb/zvfO/5CHg1uqJPRbb1Ih2dtFqzWwmR8roaz+/z2/u/0LD5Bod9EgVcH5XbDJNlYz9OhGozvqfH8wOQiTj+78Z9wNezKk+Ft2RvfNYuHKQaWi1TPkr7YPf4cQAhJ7f7vnulzBCUP82R0W/bGd/XibArD8h6AA28sj4c3LS+ywLgafoYc5kOH+sCUzbNKcyNVbpNspuN0pCeLQz1LeqBQUXjoPFttFOAiVf3JTn5jl6qT0S3kuTXosgASzABC5NSkQcjMSJWbWdzT08WJGs/3TZyOrFLPTQt6UZwHmn+5KDNcb1JW6RUAQoiZG+Eg7LhrW79yN7Y/4b2jL3WaDMFzaCW+iYCEODiIuog5kU6TocnSsVEgA2cEc28yIMYMe36D1hrb7vrWJ6y98m588+v/JCajHQAeKbkhiCAmDgmjFW/r0r9nrc61+MZX/ysA4EcLNF8E1Kdh+1rj4/VfdP6ushFeqq6Hl8AjX87h7cmfdv/16P/ofT36vSkyHi8UaBKXBF7Naa180PrN9t+u/UM+5cPDT3u/Hd6a/snoRAEAXijQhAhihCCOVoPt1Q9bf127ULlWWQsvuFXWxA52IYLYKCNEohbT3fnNye7s25Ovhv+WjvM++Ilubp8Eq7WGCOV6ujg2STYRu0efF1JdCJ/aNH7XcV9mbY0G+lQjVVitn/kzscYYiPHYZnyuJosjfvfg9w9IhD2oHGKWAef3jidVrhfJwKT5VA0mu6Urz4MyVhZoo0+75ZXiEEKUzJM+JJhZqXJb+tyfOb7SCiKUKjU/1HE6gveOPoMYEfCgicGpqLnmVihu5skwmS6OIcbUSsWtUvzRzK/JRWykynScjsT94y8Axk8lE/UQjNHlJoBbpR+Tc3r4eHxhe6M7ajjdO1WggKik09jlJ1VW/YpMpNVaWKl5wdV9JAgvDSZUb3RXj2cHgJR6qBDiU0WR0+y/NUXTp5agUBQp9E9fcTXj+/DaA03iUR97LCI+jUjAqohiZssyHiKIAgigGKc9Pk5PjNTcSM1Z1Wu57XATUcy00DkwRkOKGYQQ6cLRI1Uxn8qYz2jVazoNv4sZ8b7TqwPQCM3FNOvLWT4yBf9H0tCpkIBVic8qJGAViBEpmiU0V0Wn40LGfKozlbCa12Y1r40odiApxFghhFBlMhbTdKASMTNCcwABcOp+l9W9DkSIQHyqkwdVKhZylo9UIuZaqAwiiFnd77Kq24JLrlL5uzLmMznLhyoTseEqM8r8pIKGNwoIYkiIgxwnwn7QRo5b/bH0xF4FIGUBrTUuYD9oyfEQSylSaF5t89WrAYQQIQIJ8ZDr1XAQdBBjwZlOydZaYI02QiRqNtkDwJpy8/CThFFGZNN8MDuMd4wyUuUqZT6NaEAit+q0vLrb9pveCgtoBVPkoB+y9HsKIAwRooiygFb8prsCIUAsoBXCkIvwi40PEUR+w235Tbfbeqv2Uefdxi+9htvBDDtamFzmOl1yRRXXmcxVooXhRlsFfsLi69+HR+wDX99xtV5WEF5Yhu2BiosEz7bReepjP+fn9L2bopLzqMsxX5n6yenxiqAu+6F5PfV438kXvbQxXydef6Dps4rbjba8lcoFb7VykYZOzWijIAAQezSACKLZt73fT785+a9ywSdWGel2oq3mzzf+IwmdmpzlQ6O0ID6LIIZETLI+H6cnycH0tkrFwu2EG7V3Vj5hNa8NCXJQKZ8hYz6d3+z9cbEz+lqlYg4AkLTitvy16iVvtXLRW61cxA71rDFaJWKeD+PDvLe4nx5Mb+ciyb2VyoXKW+2fk4BViEcjSDFDGJF8EB/Mb/U/Sw5nd1TMpwAAEGzWrlWudX5R2OZ9pyOX9xZ7i7vDr7KT+T07y4aIYBZeaLxbudz6EDK8/F2MMCLJwfROfHf0Zd5f7AuTDcBPLDt1jtcHxFhI681LtFrdNCJfqMXsCCj5k7sZPQusMRoixFU8P0nv7/wLItTVWfpcTTxvAmSmktGd6dfpMDtxKqzmRKwerQRb0Wqw3bxS+4B6xH/lkyjcxuFpk8KLDIUgCrv+Ruut+kedd5q/bF1r/EwLnc+P4t10mB/nMz5SXGeIIgcAANJhfpwOs2M+F9Onsus7xznO8ZPBaw80IcWM+Cwqs5Qb2CU+H6c9nasEMeIggj1a89rBVv1aejTb0ZmMaejU/I3aFezR0EjNzUwPjdQcSCC0UJmRWiCKHVr1Wk7d7zoNfwU5xNdcpZoriSh2EEbEaYVrRludn8x3EcV59e3uSnix8R4Jis4/ncvEaqN1rhIjdG6NVZBiRkOn5jS8rteJNq0x2kjNobUGMuJih/juSmXbWmDTw+kdw1XmtMK16FLzAxmLqYz5tBDb1VBzlVllCgsvCyxi2PU64Uaw3XhXxXwqEz61ykIDNTRcZ6boEH3jae9FYxEmkGCH+GEbB2FHJYueWsyPluRjiDGBmDiIMh+5bg0S4uh40VNJPIAYE4gQwZ7fQF7QhAgWUhgQQIgwOxWfNUbrNBnqNBlao+WDxGZICEOEeshxIuR6NUSdAFhj3NUNgJgTIseJEHMjCB9v1IAIIYiJAyn1sOvVkOvVQOmQfmpBKfhcp8nISJGUwrulrRvC2PPryPMbQJcaa4Q4kBYSIhDCUnRZpEaI2PB8rnm+WB4bUepCynzEnAp2vSrEmJ0KqwMArTFKp8nIZOnIaiWMUhwijAs7RydErld3Oqvvs3bnHRJV1w0XMbDWmDyfu2ubMytEYiSPjRCxETwusxsAEeIg16si5lYgoz4i1APfCWYba60xeTbVSTwwUqaldAYo9OeIg/2giTy/CYyRVmtVlLcwhRAVFQQpUp0mQ5PnM2u0XB63WDPzIKU+drwq8rwaLPlFTneNIuZE2A9biNIzA6vy8woQcwLW6kSIUA9gTIAx/z977/lkx3VnCV5/0z7/yhtYAqCnRFGhVk+3FBPTEbsR83n+xt0vG7s70b0du9uzMt0tiZJI0YEAARTKm+fTX78f8hU8QJCECJJdJ+IFUKjMmxb5Tv7u75xjnFYVqG12Hr++CFPEWISCsIsoC521GjhrIMIMYkznQhVgqnJqinzolCycMfKB64wgoQGiLECcx4h7jVNV+ek5Ac5Zq1VpRZWYPBvYqpw+r7DKaqvKiTiRqZpijj3CsS8zNTPKCL/jLZjayuqFwigrVaGz5DC7e/Lp6A8iVbP0KN+VmZx90+1BCJHX4r3WZuNKtOivspA2kqkYju/MPpvupDeraU00CcMcIohlrhKRqZlI5cTZpyiTz3CGM3wv8RKnD51z1hk1q0bJjZM/lkfJXdby+7Tp91jD6zavLr7nrLPVINuDFFESsBg458Qw38/ujq9bpavaisZUVhlBQtYIlhvnaOx1nHW2Ok63s7vj67qUKfFpRBtex1uINzpvrGxOEURyWg68XrgaX+i9UR4mW5OPDn4jZ+XQOWCdMsrMfecQxZx3wxUS8RaiiGc7s8/TO6OPAQSQBCzm7WDRW4jWaczbuhAzMcj3aczbvBetFocHdyYfHfxWlypzykpdylTPp+Kt0hI1PUobXpe1/YV8d3Jj8vHBv1plhdNG6lwmKpNTK1Th1LP7QV46IESI0gD7QcffOP9zf+P83xZ3b/8qv/X5/wXm0x9zctKjzdY66y+9hv2gU27f/hUAYIAI9RBjEV9cedNbWf8JJJRbKTIAIULcayHKgtocXlXV/s7vq/2dP5iqnEGE7hE+RFlI4uYK7fQu8oWlN2izveGMUc5oYZUqnJIFjuKlJ0W4QYQp9v02iRpLfHH5TdZfeg0iRADCxFmjgTFKjgc3q4O9P6nZZMdJmYF55BrEmNJO77K3vPaOqcqZraopDsM+bbQ3kOc1IMbcKVWoZLqrpuO7cnjyOQDgPtH0/BaJmius13+F9RZfxUHQOS0tAQiRlTKvDnberw52/2jLYgIRUpAQjhiPWLt3kS8uv8kXV95kCytv4CDoQUI4abU3ndaV06pSs8m2mo7vqsl4S01HWwCADAAAIOMR6y5cod3+K7TRWidxY/leM7kxylkjxcnhJ+Xe9u9cMt1zZn4dKQtIEPa91Y33+PLaj6wUqRUyQ4xFyPOap6RNp7P9am/n93J4fN2IMjndLgAAIN9vk7i5wnuLr/LF5dcR47EzRlmjKidVDiBEyA/aT7rVEPcatNnepK3OOdruXiBRvAwZD53RIr/52X8HT1CCQowZYjyirc55b3XjJ7TZ3rRSZFbrCnOviTy/Wad0AChOjj6p9nf+oGaTHVtVs3vXGSFKwqhPGs1V1l14hXX7VwBCBEAIEfea2A+7zmih0+RQjQc3y927/y6ODz+GEFnn7JcSJ2edQxhqbetXWV3pskr4WCRyokudO/PiLYlUqXOrrTr+ePi7dD+/a7SV1VQMZSZnqjLfqP8TIgB5zFrxUrBBPBKoQqWzvfT20V+G/zremn1ulK2ccaZuFwLQaiutskoLUz5NOXyGM5zh+4mXRjSdddZpI1UmpuVRcje9M/qEtfwe74bL9LXlnwXr7cvFYXIHzaPLEEXcVDqX03JQHMxu60Kmp2a9ECMUhazBu9HKadVTjIujfHfyuZyVQ+Kz2F9unI82O9eic51Xy+N0G/s0JDFvsZbfz3cnN/LdyY3yON15sH6IOfG8xXiTdYJF2vC6JGQNCCE0pcxOc4VZ0+vR2GuT0DYwp6Fzztl5nJ8pVW5KlelczGylC12qzJQqs9rI0whAq4w0lc5NbT6c1X/Xpbm/rPrOTyVBCO99mXd6l/z18z9Xs+kuxORelN9pBQ5H8RLrLVwhcWNlTroAQIhCSgPa6pzz18//DYAQqdlkx2ldIcYiyHiIKA2AA86Uxcjk+QDMJju2JnwWQghpq9Ni3f4rrL/0Kmt3L+AwXLBKFU6rEmkduZpUNB6taEIIIfJ8nzRaa6zTu0ya7U0cRP15XB6uvzIhdM4ZU1Uz4KxVyWwXnGb7QoRJGC+w3sI1K0RiRZVAxiPsBx1EWQgJ5lbKDIsqMZSFED1MdLEfdlmvf4V1+6/QVucc4jyam7y7Ot2a+ojxGGLM6v25t9cYEuIh7sXI85p1xZZHmHsN58ncGS2cYdJU5QTV1VX2oFcSRAhDxkLsBW0cBB0chL25vYqtPfwwtVpVajbdcVLmpiomwFoNMebI81ust3gtOHfpF2o22VHTyfYp+UWUhYjVlT9b5CMrReZmbgcAkNVRihDypdUlb3HlTTo/3xAT5rQsoVKVozoCEEJE2ZOniuvj5mh+jmmzvUGa7Q0AIRBHBx8+dR1MOAnjRb60+jbvL76qppMdnaVHiPMIMRYjygJIWeC0EabIh84YqYyR4N4LBWGk0VrjiytvkbixgqN4EUCIgHPu9N5xxgjJTm5YUSWIsvBZjg5PgjXu1MFAAwBEe7ORq9LkRlnx1yBfRt4znc4AAE/0T/wGgNQnod/hC5giripd5MPqaLqb3prupF+84G2d4Qxn+A7j5RFN45SpdGGq+q26nrrWhc7EDAAHSEAbmGHv9GHujNVGaqELmehCpo+oyiBixCMRa0MEkc7lTBcyrX3jnDaVyo3QBUQQk5A1SMSaJOIt4ABQqZjoQmXOOP3oJDVEEBOPBqzhdXknWOT9aC02TuOAxs44gyhi2KMBQBDpRI6tqius+c7k8xEnPsQId95Z+4WVRhipy/IwuZvdHX8qJ8WJ1VaZUuXZ1vgTACBAFPPeTzb/wQhdWanLYm92K7s7+lQlYgwxUs58eVXke4QnfgFDykIcxYumLMZ6NtmR49Ftp2QBMCa01T5HosYSwoR7q+vvAeCcTmcHECEDEcYkaix5qxvvkbixosbDL4rt27+2skqd1hVtdy/QVvfCY9ubVw2R57X4wvIbbGHpdTUdb4nPP/5wboJrcRB0cRgvIEJ93l98FXMeW61LAMBjUXA4CLo4ihf1bLJTbt/5tZX1FLkzRlkhUivqqegH1yFRvMiX1t6BAABxfPAXUxZjK6rEGS0gRAQ4q1Uy2zN5PrBKFvX/BS2NqBI5Hn5hRZWYqphCQn3XaIlqf/f96mjvQytEYqVIbVVO60prObFG36uMW6UKPR3fdUqV4vjgI0jqeEoAnKPt7gXW6V8G1lnaaG3UikWjrCinANQkFXlek8SNFTka3JTD4+u2KidWyQL7YZe22ucgZQEO40W+sPyGU7IAABwCiFAtgOteCM5d+qUR1azavfvvushOrBQZItSjre4F0mpvPu3GsaJK1GR0x4oq0el0X6ezg+D85V+SRmvtS+86ghn2gy7ifstU+38RR/sfWCULp1RBWnWVFFhrWKd3GThn5z2f9TET4rHewlV/4/zfyuHJ9fyL6/9otaqAMZIvrrzpdH1uxdHBR3Jw9KkpskHthfddb3z5KwFCgAhihJMAQIiMsJVRRrinGXaf4Qxn+MHipVY0rTLSziPfnAPOaiONNOW8f5HXlgAAurmNslNGmEoVT4odgxhRzInvrDNW6tJKI5x11hlrIULSKSMBgggx4mNOfMywDwBwptKFVUY8sWoIIUQUc+yRgAQsJjFvedatQYLoKdG1wlS6kKmYFMenYxUHs9tW6CK+vPCjxiv9dyBCxDlrEMOeSqqRqVQByrp6me9Nbhqpy8bl/o/izc7bczNiCyBEclYOrDLSlSoF37JS8WUAEeJh7rVMkY9UMt0TR3t/1llyBAAEfHHlTb6w9DpptNZ4e/l1NZtsQ4SIs0hDjDkOwz7vL74KKQuKrVv/I79z4/+2okqAMdLfvPQLEjWWnDXqoe99CBHEmGEvaNPewlW+uPKWmo63xMnhJ87UFhak2dpgxkjW6V9mnd4lxHgoTo4+eeL+1x6QTTU8uSEO9/6sZuNtN+/nhHV1FDzqj1ZPBbfWTJ4NdZYcqtHgC50mB0ZUM1jvq3XWGjdPfXjQUB8AkAMA9rzlNcsXVt6AhHpieHS93Nn6jSmLsSnyp+ciGy1NkY+slHndQ2nVvYhIazX2wx7EmJC4uWKVKnQ62wdzoglAXXFEXtC2SuZyNLippqMtk6aHOI6XebUyYZ3+K7TRWkOMR3J8chPOc4YhIZw0mmt8afXtcm/799XR/odycPypFVWCw6gPEKY4ipecteZJbyNWihwAkCNChmo23bVKlWxh+bXnIZoQYYIYjyGlvimLkTg5/ERnyZFOk0O+uPKGlSJjrc450myvO62FODm8d50hIZw025t8afVtcXL4UbG79W+2KqdOqcIqVZJGax1izOR4eEtNRndMVU6fZ8r82wLCCGGGPEwRQwRRiB93XbDaKiONsMpKa5yyz/FyizDCp2MiAinECEMIUNj1fK/JOiyksbPOKmM0YZj7Ld4P+8HDql/nrKp0qStTgDqI8qnbRQgidG97iCAMad30ANA8b8W52nRfG+2UVUYa9T1KEDrDGX6AeGlEExJEsc8iZ5ye2wUhzElAItYCEACdy8RKXdVeU186nLNClSqpxiRgEQl5k4QshhgRRBDBHvGxRwNnnJlnWc90LmcAAkhj3iY+jZ6US+yss7pSuUyqsZyWQzkpT7Kt0SfJF4MPTFn7jTljtVVW6FzM5LQ4cdYZnclpWWe46Ook3WFzgRKwzvqL8SaAAJYHyR2VVhOViqkzzlppRHGQ3OGdYIl3giUIIQpWmhchhqQ8SO6A/wBE0xmjrFK5rYqJydJDnWcDp3QJMKZWVKkp8hGJGsuIsQhiwgGEsBa1eC1IWFCLNyptRTWzQiTO1FGNtizGajLagoR4OIwWTrcHMaaI+w0chD3sBx0SN5b9tXN/g5gXA1fHnCHuNZAfdDDnDcS8GID06Gn7b6pyYspirLPk0CpZzMnhPOGk/vJ0zj50N5s8G4iTw0+xH3S8lfWfsHb3opyM7ujZdEdnyZEp8gFwTgDn1IusjkFMOA7jBRI3V3EQdLEXtJ2zGlhraLtznrZ7l5xWhQbJESRzQdb9K+Wc0cJJkZoiH+l0tm/LcuLqKDthq3JqpUgAhAhSGkCEKYAQQsoC7HlNgDGxSub1daqmVom8XlcJkyXHejbZRowFiPPGizpeAACYC4ZKK8qZybMTnSWHVtbZv06r0hT50IbxIsSYQ0o9ANFDFj+wth7D81Ng7780OPfAz/Nr9N3yp6UBidvnGldbG/ErYd9fDnr+8qPLZMfF7vjO7LNkP9sqRtUReA6fWd5g7cZyeC5aCtbDnr/stXgPM8yJh4Pepfabfpv3nQOOa6uW3+r/3GvxvkjlQ4ItVejs+NPRH04+Hb2vSp1DBLMnSSARgoj4JGyshOeipXAj7PlLQddbwgx7mCHPWaeNslKmalqMq5P8pNif7Wd3EEEH9ev7d7wF6Qxn+IHipRFNhBElPo2AtQYxwiFBjAQsphFvAQCgzsTUCF088HBw4NRJ6lE4AIzQhUqqEfaIT0LaIAFtIIo5opiTgMXYJ5EzVqtMTFQuZrqQCXAAkJA1sE8jSFCdBf1ANB9i2JlK5yqpRnJWDtSkOMm2Rp+O/7z3P9TcygjM0wpAzSEcAABABDNdqlyMiyNwC4C5hdFbNOZtbyFaA3MxkpgUA4hQoguVVsN8HwAAGpd6bzUu9d/GPg39pficc86JcXEEnqCm/aHBWaOckoUpy4nO0mNT5CMAAECUIStFZspi7Kw1c0U3AwBAiDFH3G9CSn1nrXJGyzmBqUUvCGFTFRM1GW3hMFoA9r4fKcSYIe41sB90sB+0SRgvwtX1d1mnd/GxfdNaWDXvzXVPfvWxVTk1ZTHRWXpktSwfzKt9mvpYF9lQnhx/6q2u/8Rb3/wZABDgqLEsveM2gBA5KTNrrXHAVS8yGhIS6pEoXuK9haust3CVdroXXK2al7W4xW/rLDu2UmYQE/ZgbnedDW+ElSKzZT4yaXJ4qqTHQShMVU6trLK5SMyvPUshRJT6yA86ECFSq/Cr1IoqsVIWAACAPV+YPDvRs8kuaTTXAGi+qMM93W/jtK6sEIkp8qFOk3svDU7J0pbF2GlVQYwZJMR7mFwD8EBk4jxOEaGajEJ4j2x+R6fKaUCizoXmq6vvLv6ye6n1Rvdi87XTONbTiMjB5+M/3/3NwX931lld6hw8B9FkEW22zzWu9q91ftS92Hy9uR5fIj4JqU/C0yrn6bJhz19eeK3zk0f/95RTMUAEkWQ3u+0csLoyOXjkSY8QRIggwiLaaG00Xll4rfuTzvnGtfb55jUWkpgGNLbKSlXpMj8p96Y76RfDm5MPjbSimsmRrVX0Z0TzDGd4CXh5FU0MMeLY414YtK4t/tTrh2s09jok5E2rjZhdP/5DeZRuP1e2q3NOpWJSHCVb2COB149W/cXGBsQIW2kE5iRADHOdi9nk44N/LfaT26ZSuRjlB9nd8WcQI9J5e+3vTKlyZ62xwpQqF4kpVGqELsUwP+C9aEXlcub1opXuuxv/xal6v4zQhcrEVKdiwtvBxBmrm1cWL/rLjfPOOuOstbwTLnn9aM2UKqsG6Z4Y5YfOOM3bwULr1cWL3tw2yVlnvH605vWjNZVU42qQ7YpRcWiF+cZGu98ankqGIIQYUYgwgQ+QlkfWNfX09lwM88RhAHgo//vBypF7IMP7sX2qq01PGBQ656xTstR5elztbf+uOtz702NDGKOAMVJnyaHOZodP3v26IQRY+1Qy+ihsWYzk+ORmrVieHSDuNQAAAHEe+WubP+OLK2/JwdGncnhyHXMvs1Kk34RwQowpItSj7e4KX1x+g3UXrugsOayOD/4yt2eS9yqa8yrjUw7V1BVkZ556oWpO9sjFeuDnR89R7UlsHQD2ec/fV0Itv9POGAXss1IyHrvJgNO6kuPhrXJ/+w/Y81uN19/+b/M+2IxEjWWICTdlMdZpeqiz9NAq+cyElW8bqtDZ+M7sM6udnt5Nbhx/HPyORbTJItqMl8ONxkp0/uuMq0udpcfFDiKIiEROJtvpDUwRIxwHrc3G5eZGfBk4B6xxuhiWh8lhvq1y9dDUucx1Orwx+YvM1cwI88QXKt7knfb5xrXO+ea17qXm6831+DJwwE23k5vOOeOssxBBjDAiEEMS9r1lwrseDUgULQZro9vTTwAA17/m6TvDGc7wDfDyiCaCGDPi0YbXQQx7sewJ7NMIYoQnH+3/ZnL9+H05Lo7sc/i5OeccxHCiC5HwbrgMIMQYR5cAACAASURBVETeYrwZrDYvwXk/kkqryezTo98lX5z8WU6rgal0UQ3z/ezu6FN/uXmh89bq3yOGudVW6ayaVifZbnGYbGVbo0/Lo2zPn5ZDXciE98LVcLNz7XQKTSbVqDxMtsujZKs8TLas0GXjysK7nXfWfum0kVZbiSjmmGE/25lcl9NqIEbFkdNWs1bQb7669NPWa0s/s8pKp41CnHiYET/5YvCBGBVHYpQfGvlNM4e/FTj3rGoOhAggRCBCFED0xHlFd89ax+qnE9Z6tIcVvQ+SgicXG0/9MB8dZv5bY5UqTZYelTtbv00+/eB/eXznTivd1jjzlNSdmmhq59zTifIjMGUxNlU51bPprjja+5A0mqu0u3CF9Rev8YXlN7AXtPNbPLJVNdMAnBKYr211U7cL8Jg0mqt8ceVN2u5erI72P8yuf/y/OWukM1p6y+s/9pSukOc1wNPmgK398peC+2Tz/s+nOL0UD18S5+pYtr9SZdA5Z4121qivquJ2Wgs1Ht6qGI/4wvIb8eaF/1RXdMuJ07pyxihbFhOTJoc6TQ6/cib1Xxmq1NnkTvJZephvs5A2WEgb0VKwHi0G6ytv9/826HiLX3PcPDvKd1Whstl+tkU9EgAIIKaYb/xs6R/qqXPnjDDV6Pb0k4M/DX6dDYr9B8ewysrsuNgVmZxZZeWTps29Jusuvt776eqPFv6usRKe81u8P7o9/Xj0RfJJlYixSOWYeCT0GqzTXIsudi+33mifa1yJFoO1eDnY0MKUEMHPv/uuxGc4ww8PL41oWmWESqqxLmRWHqfbalYOIcUcAgiznfF1OS4OdW0jZKuTdHf0p91/qe2NipMnjefm1iDhWmt/duPkjzTiLUgQgxgRiAAyhcry3ekNOSlPTKULZ53z+tEguzv+TCbVuDpJdyDBDFhrTKVymYixnJYDlYqp00ZWJ+lu8jn+Iw5ojH0WnRJNU8hMzqqBnJZDlYmJU0blu5MbEEHkjDXOOg0RxBAjUg2z/fI42VFpNXbaKgAhzLfH1522aq6QNxDXy5ZHyXY1SPd0LmdOf8eb2Z1zzhhVK28hhJT6iFAPEszh3EybNJo+iRpLJG6uIMaiZ4/31Grmg+SyXtRoaWWVOK2r2jgbU8R4jGpvRQkgdIh7TRK3VpHntyC8H63njFFWitTKKp1b9zBY2wlFVsrMSZGfVlcgQhgiTOac6sV9WUGIIELUOWuMqGYggfeScDHzYtiqySGJGytWyRzk6fHjg9QECjhratuj0+nqJ22vtvqBmHBQL+PqvsVq5py1wDkLCeYkihYgof4zK3NfqbLqnNWqhFU5rSNkWYAYjxH3IkSZ74yWyPMZ9oMunntjPv/YLxjwCcy4dpSiEBNuRZWo8ei2zpIjncz2aiN8LXWS7OsiGzr71TOp/9pw1lktdGmN1UaYSuYqgajuORWZmtqv6dNplJUiU1OjrMCJnCBS23dhhr1y2h5oaQRwwGlhqmomx8lhfjc9yO4+OIa1ztTm9FY+6hdK/Treo/9K+2J7M34l7Psr5VSMpjvJzdEX049Ht2Yfy0JlqtQZppjTgETlpDoxyorGanSe+iRqrsWXGqvh+Xgp3OANNpOZmr1IwlnfGgBTjrz+mne+t+adH+xWd463yy+UsN9tD+TvIbwAh16EY2ucVcKWWjlhtNNze7BnAiGIEIY4bJFOf807z3wUnWxXXwz3q+1vY9//o+KlEU0jTCWm5cCUKpt9fvzHYn92C0KA6nQOXRihy9OpZ+zRLTmrhnUyjEqfNW41yPZUUo0hRhhAgO6lrFhnjNDlPPHHAgCAnJYDncsZ2pveggRTiAByDjhgnbHGaqetssoIq63GHtkR0/IEIojrpJr6S8gZZ5yxymmrrDYKOOCSGyd/yrfH12sNL3DzyHtolZVG6MJpq4BzzghdTj9Tv09vDz96bFlpqnmS0FeuvrwEOGeMdEqVAAJQexLSABHqQYSpc85CwnwSN1dIs72BGI+de9bU5TPx8JSm0cJW5dRpVUKMGaTUR9xr1GQRZM4ahTy/RVvtTewHHfBA311t2VMltqpm9T5SHwdhlzRaazpNDo2SJZhXDyHCGBLiAQAAUOrU7/AbAyJMEaWBs1ZbrUpd5iMjq9RJmSHGa0LunCVxc0Xn6TF4UtuBA3aeVqQBwgRS6gOEHzOmB6AWtACMKUBonqajxbw3UwEEEUAIIy9o01b7HAAAqCTZf9I4z3t49/fROadkYeZVX8RYiDzeQNxrIkoD66yBhHAcRn3SaK0ixuNvsN0XDwhR7Tvqt0xZjPRsuivHg5tyeHKj9nN1zmktrX7cEeO7AGedgxAaa4012kooTEF9EhGfhKrQ2Wnu+FeF1VbJXKWq1Hnd6Vnfn4RjTyRyarVVzgJrlBUyU7NiWB6mx8XuwztXd89a68yjBJD6JIoXgvXmenypuR5f8pqsO7o1/fjww5PfTu6mNyZ3k8+dsdpaZ07FWvlJsa9ynerS5Auvd96Ll+rWgMZqdCG9P3X/4ogmApBQRP0IN869Hr372t+2/uHjX0/+aXwk7vvtnuGFwYtwo7PE17SyMpvqUZmZxFlbgud4JiMMEWGQtxfZ2pWfNn/Z7NGlD/9l/H8AAM6I5l8RL9PeyFhlhCllrtJqLMb5Eyo1NeZ2Rs/1ADdCVwCA5+pptOqeYfGXj1vprxJmPwPP0UgPahIjwdyr73sLV1fUrFalybOBGo9uI0I9b23zZ7TTu+y0rpAftLEfdB6IV3wxm7bWAK0qU2RDOR7eIlG8RBrN9eDcxV9YIVKnVUlanc15BQ8/3CNYEy1TFRM1GtzE3IshxsxbXv+xbRcTUxbj8MIrDgAIvNUN6ZQqTFVOTZ4OQG0v9I2Bo2iRtbsXICbs1MIIAOAQ91rYD7oAOGelyHWenlhZx0s+OoZVslTJdK82Mffb/srGT0wrOxecv3RS+2hWUyuqxIoqhZgoJ2vFt6mqKQ7CLm22N/xzF//+dDzabJ32DOsXNQVct7dgBbRzOksO5fD4OrBW88XlN3AY9a2oUkgIJ1G8DBGi99Tdj56vIOyQKF7yVtbbpwEBJIqXEGN1WMDGhZ87rSqntbBlMdZlPnxEPP51UVc0CfEwwtQxHtG5L6nTWgAIkdOqNGU5pY3W1IhyaoXIvmzQbxPz6nxdoYfQmjqNR1rzdIHbl45ZE0P96L8TjwCjrXSubltxtvbnMNIIXT1/KxANaBQtBRuN5XCTx6wNHHD5oDgY3px+lA/Kg3JSDR9dJ+z7fLqX3fbavN+93HqT+iTyO95CvBxsiExOwdGLfQYBB5y1zhrlZDpRw5Od6nY60cOvWyU+w7MRNkln8bx/ReQmtaY0WlphFJDgOZ7JzjnnLDSytPnsRB5qaWWVmeTL1jvDN8NLjKA8ww8FzjkHIdROq1JNJ3fL/e3fYy/oRFde/6/OGu2UKqwUeT1NLTLn+S0AwZMFQV9129YaiJDTWXpU7e+8z/qLV2m7e8FbWf+RlTJ3SuZGVKkVInHW6gd7/+b7bUxZjKqDnT9YUSW007sYbF74u/sCIggBAFCns305GtyUo8EXVokcAPBCHk602d7wNy/+PYkai4jQACCET3PFAcbUKVVYUU7l4PhTU+bjJxJNKVI1Gt6EmDDW6V32VtbftVJkToqsNlQf3JCT0R1l9JZTuqwtmNIjk6cnrtla54srb7HewlVnjHbWKgAcMGU5ckYrZ/SLs9Wy1jjnrBqP7hRbt/6/eRLUzwFC2ElZWCkyK2tbqqdV2EjcWPHXz/+8TlHyGiSKl2i7exF5tT0UJMSzRTE+9cm0RzJ3DzgNfG3U5v4QYkxxHK3iMFpwC0tvWCESABwACGGT5wM5PPlcDk9uyNHJTfBA7OYZvh6oT6J4KdwIF4N1wrGnKlPkw+pwtp/d0U+JydSVKYpReZQPy0NV6QJiiL0G60SLwXp6mG/D+tnzwkigreNDVZmZ5O4n2fuD3ep2NtVjJez3R8T5PULcof3VS8Fr2UQNs6ka5YmZQGif6/vEWmC1tHJyLPY//739F0whzyb6sZeVM7xYfOtE00ojVCamECPitJG6kJmp9HdyuukMz495xUrq2WSn2t95n3Z6l1indwlAhJ012kqR6mS274yRTlQJQIiYsrYvAtZqp3Sp09mBOD74SE5Gd079DeeDW6dVactyomeTbcm9WKfJ4SmBcNZaHIRjOTy5DpzTEEIMCWHOzBNtymKs0uTAaVU6KTI9m+44pcrT/UaE5nIy3rJai3rq2G/WVTVMakIMa+slY6SzRj5E9pw1psxHajK6bapyaspyYqty5qx5LnJTK7t16bQWDiE611QZZ4x2ten6UM2muzpLDp3W4jTb/aExpMzVbLwDECLzyMrIWSNrs3hn7gmhHHDz/sGSNlojORp+AQn1EOcNxHjorFXAGGXKYmzKfDgXPTmTpcdOqdLVvbjSiipV0/FWdbj3Z53M9h9ScFujnZS5ybMTNR7egoRwUxWT03MNAHC02ToQR+gDZ42EdL6/xkirVFFXbkXmtKqw57d0lh0/pEKuYzINsEY7rStTlhM5GtxAyWxX5+kJsFY7Zw2Y95uCut5knNHSFMVIjgY3cJ4dmyJ/6MvFGSOsqFKdJgdyePK5TmuPTYgwhpT6JIzaiNIQQIStkjnI0qM6PcpqABGC0EHEeEy7/Vfm9/YQALDzPPfAGZ4OwrHnt3nfb/M+5tiH2qqw7690L7ZeA865lXcWHqvELr7e9VlIG9FisE59EkEEMfFJ4DV4m3ASvCiPU0IRZR4KmI+C/roXMg8FCEOCCSRVbueRqw8DoXkXNYde0KTtIMYtq502xmlMIMEEUgghAhAAWdoin6lxlZvUaKeMdgZTRDCGNGySdtgknXoyCWiI6qYZNJ8J0NrJfKrGZWqmRjul1f2XLcIQoxx5XoAjP8INypEHAIAOAGe101pZWSRmWiR6Yo0z1jpLOeLcxyH1kE8Z5NYCk8/0pEx18uCxQQRQ1Kb9Zo8tysqWs6E8qnKTOuscJpD4EWl4IY6Zh3zmocCdNr1bYJ1zrspNms/0WBQms7b20MYEYkQgDWLc9GPSuvpe8+rSBf9KPiW9qjAZ83FYpnq2ejlIRGkLWZpclDYXxf0XEeYhj3k46CyykAU4pAxxhCEx2ipMHvfQfhCYIkIZ9HiAQz/CDe7jEMxvImOcMtrpMtWzIjETXc8Q2NqOCxLGkRc2SceLcDzvI9WYQIYJonAuaRWFyfKpHovC5EY7ZX6AlfBvnWjqQiblUbItx8UxpJg7bZRKxdMTTM7w/YF1RqWz/XlazI2Se01QszQ996HMgXUGUhoACKFOZwcAAGC1qpyzRhzu/1mnyWHtc3g/qtFZo0yt7hVGVDMxOP5Mp8mBeyBS0UmZq2S6a0WVyMloC3Eeg7rHVzslC6tkDgn1EaXBqdL7wfGtKGfaGlVKmcvB0acAQlT3m9WyaatkbqvydAr63sPVGaPkaPiFqcqp00bU4iSROq2fq5qhxsPbuZQ5pCyoFfn3PRld3UNZmTw7sUqV9yqdj552rSudpodWykynswO0u/XbU6Jlq2pmal/R9MHzZapyIg53/6Smoy2IMYUIU+CsnXtNCme0qEkdcFbJwlTlFFinnZK5ztLD4u6tX4nB8XU9m+w4c9+CzCpdgiIbOK0rnSVHECKs0+Tgwf01ZTlxxkhTFmMxOP5svm3jtBG10b1RiLIAYsx1OtsH7v6DV6fJQbm99ZuK7X9Qi3Pq6WyIELZaVU7psk51qlsiTs+blSKV4+Etq0QOMWFqNnmoT9BKkZ32yarp+G5t4J4NICEeiRrLdY9v2AEQQHF08KEcHl+vBVjAQgQJQJiwdveCt7rxU7y08pYcHH32PNf/DM8GIojSgEY8pA3CsY9j2tr8m5X/qXux9QYA4JSnPASIEa4zoGgrWgo3AAQQYUgxQx6qgzleCNNkHvI7y3y9u8I3emv8fGeZrzMfhzxA0ae/nf7zx7+a/CN4ZDoXYUh4gMK4SxfOvR69u/ZK+KYoTCYKm/EARX5MmjXZBHB8KHbvfpy9f3S3vFlmJkEYltzHvhei+Nzr4bubr0c/dhaYKjc5oYj5cU0aIQSwSPR06+Psj7uf5x+W9dTwvWeWF+Co0aOLCxvexZVLwWvNPluCEEBrnK0KkxaJme5czz/Y+Sz7QFW2hAiqRoc2u6t8s9VnK1GH9LV04u4n2R8fHBdhSDCFbP1K+OarP2/9l9mJPPjkt5N/PtqqbiIEDfORt7DhXVw8719pL7LVzhJfc84554CbE2l5sl3dvvNR+ofBbnVHKyecdZZ6KPAj3Fh9JXhj7XL4+trV4K3FTe+yWGSrXoQb2VSPlLBVkejJ6EDsjPbF9nBfbIEH+i6DBml1lvlGb4Vv9ta883GXLvAAh0WqZ5/8evJPAIBfPeM6B80eXeyueOdWLvmv9lb55mkvcpWbtCpMun+j+HjnevZBPnMThKFCpL7O7QW2svl69O7yef9KVdhMFCb3Y9L0I9xAGBIIATzZqW7f/Th7f7BX3Zlfq++Dy8xXwrdONE2lvkqv4xm+AawyUs+KgTie3rVCFSYX9/pGa6GVs3KU7tsXZJ80T70ZgyfkgD9zvbpypgAAd+efh39fV/Hy+Wfw6O8BAMDWfo9ivu2tr7T9evzTPuCvNI0yN2U/nn++MnSWfu117+2D0QrUfb5TAMDulywOAADASlGA+jx9pXMF6p7i077ix3wJ5/uiQP0F9EQh0WmMJADgiQ4Sz4Ipi9Pj/Mqrgrp3+4nn2ip12ts9BQ/cg9gP2tj3OziMlxDnMXDAqen4bnH39q/mxwoQIQwS6kEIkX/u4i+wF7TvCbnO8I0AMSSEYx9z7CEEMWHYi5eCdb/Ne8+zvtVWFgM5FYkcq1LnRlv5oqyzEIaYesj3Y9xq9thSb8270Fnia+1ltj7cE1vX/336/z52PAggwhAPm6Szejl4/dWfNf/z+Ejujg/FLvNQ4EU4Zh4OmId8L8JxkehJVZjMWWm1sBVhkPEAh4vn/Veuvtf8RVWYbHwodwEAwAtxzH0UMg/5VW7SIjWzfKbHk1qUlEAEIYIA9de97tJ5/8rSef/KwqZ3KW7TnnN1p70STojS5GVmknSsBulYDfKZHmMCGQ9w3FpkqysX/WvGOD0+ErsIwc/tXMBFPeT7EW70170L516LfnwclY1bH6b/DiGAbu534YU4bnTpQnuBrXSW2Ua9XWBrGSLEmEA2OZEHxUyPi1RPlXAVwgBjCpkfkUajT5fiNu35DdIkzHJZ0hwTxLSygnHkicLm+VSPCYX8wfOOCaTcR2HYot3WIlvtr3sXOst8vcxMunej+OhJ1xeiOsqgvcia/XXv4vKF4OrCpnepvchW3bynWUlbaeGELG2ZTdUQAAjzmRpDCBHlyIs6tL9+NXzr0jvxz8aHcm9yJPe8CMdeiBvzqq5PGOLFTI+lsKXVQoMfID8669H8AcNk1ST9bP/f5CDdRZwEiNPggV8755wTx8m2GudPjVU8wxn+Q2Pel4nmSVTgwVjR00VwPcGLGI9P2zxeSF/oGebe+QA655xRVuqpGI7vzD6d7aa3nncIo6zIB+VhPij382F56OyLcYyQpSknh2JXlqZIRup4sCfuXHmv8cvWElv9snURhjhokFajz5aO7lY3D26Xn1WZTmRly6hNe90VvkkYZM0+W141Tithy2yiTl+CoRfgqLnAlsut8sZgt7o9PZEHqrIl81HYXeGbQYO0/Ag3Nl8Lf+SsMwjBPUwgJRSy7io/d/lHjZ8TCvnBF+UnySgZaGUlQgA1+2wp7tCFqEU6l3/U+Nv9L/JPdj/P/1LlJhkdiO2oRbr8jegnPMBREJEmIpAiDI01zkRN0umueeeZh4LZQB5OT+SBKExubT39zjwsx0diz1pgD28V16mHvDnRdO1Ftrqw6V3SyopWny7JwstOdqrbopSFLG3hrLa7n+cfJkN5LEubhy3SySZqeOcv2e9H+9V2ldu0zPSsSPQ0n5lJPlMPFTuKxExPdqpbZWaSyZHYW30lfP3Ke/DvmY+f+kKIMcSEQt5aYKsX3ozfay6wleFudef2B+m/z6fIdbPPlpt9tsQDFG6+Hr3rhWVj93P7kShsBgAAmEASNkg7atP+we3y+t7N/CNZ2VJVtmz22XJnhW9ACFBnhW9Y66woTAYAGH2T+/K7iDOi+QOGzkUCAPhw/jnDGc7wdVALw9ypMhsSwrHnNbHnKwBqJTyO4iXk+S2ndWW0rpxWZ0KQF4F5pW2uWpey0Onoi+lHBx+c/Pp5dfLWOC0LlcpMJeW4OnlRdnGyFvscYQwHkyO5Oz6QO701fuF5FPwIQcwDHIVN0hGlyY/uFJ8P98X27EQetJf42vrV8K159WyN+Sg42a7uE2sIAPNRELVI12qnh7vV1u6N/KPpiTzgPg7Xr4ZvLV8MrrWX2FqzT5dHB2IbQAAJhdQLcNhZ4mtrV4I307Eefvyb6T/d+TD9nahMgQmkG9eit9euBG+1Ftjy8gX/mqxMcbRV3igSPdHHTnaX+QamiEUt2vUj0mQe9pUwFUTQbr4WdRfPeZeZj/zpiTyYHMk9UZjs1N/SaKeyiR7IyhVGWqmVFadEc+1K8CYPcBTEuNno0SUtnUxG8tgdOwfqmSoBaieXG+/9z72Fc69F744O5c7dj7P3927mH+dTPa4K81TP3zLTKQAgpRydDPfEllZOrlwKXuuuPp1oIgIp81HQ7LOl1cvB69xH4c33k19/+tvJP4vSFkZbuXEtemf9avhWe4mt96965yEEaLBb3TklmghB4oU49mPSrDKT7H9RfDo7kYfTgTxc2PAvrl0N31pY9y60l9gawpAcbZU3nvP2+17hjGie4QxnOMNT4LSqVJrsA4QI8oMO5Z3z3vLaj0ncWAZzkRUk1JsLhZAcD2+ZLDl6tC/1DF8PVlulCp3p0uQ8Bi0IAapmYjTbTW/PBSRfShprH08jjbRClzr/LqQDOeeslraqcpNmEz2cHMv9ItFTa5xR0op8pidVbjKEIWYeDvADmfEAAKCVk1Vh82yqx9OBPMymeqSVk4Q6VmZmViR62lqkq9zHISGIAQAA93HU6NElwhEvMzPLJmpQpnomhS2tcRoAAGYDeUQY9OIu7XdW+EbUpj2EIXG2lt9VhclmA3lICKQ8QGF/nV+YncjDZKSOoxbpLZ/3r8jKlqODant8WO3Iyt4T5GACadQm/fYSXw2bpBM2Scfa2s23s8TWFs75l4EDIBnKo4Qp/jSLs28LjCM/7tC+F+BIzAVGZaqnsrKF0U45C1w6VoPDO8XnYZN0Gj221BiqI8LQvWl754BV0lVV3YownBzLfZGb1FlglbBVMdNj0TOLmEDKPBR8mTDp+4of5EGd4QxnOMOLgFO61MnsAFhrWG/xGmI85stryz7nf1cvULsEAGuNHA1uFlu3/qU63v+LybOv3H96hscxJ5qpqnReR5pCWM3keLqb3nIWGKu/dvDDS4WzwCnhRE001XB6LA9EWauk4w4VRaInVW5SiAB6jIC4mmiKwmT5TI+nJ/Iwm6gRAAD4EVFlppMi1RPggOUBDjGFNdEMUNjoskXKoFemJskmaljmJpGVqQAAAGHoZkN5pJUVF9+Of9pd4RtRi3QxgWTeh6lXLgXZbCCPmIcCHqCov+ZdUJWtkpE6idu0t3TBv3J4p7wxOhQ7o0O5I8uHiCaJO7S3uOldXr4UvLpyKXi1Vrk7yX0U+g3SKhM9VcJWpFaFv1yi6SE/btM+D3AkCpvLyhZFqmeiNPd6KHmAB6I0+frV8K1mny7NBnSRsPv9odY6q4Styswk6UQPJkfiXt96s8eqfKbGomA5wpAwD/lzsdoPDj/IgzrDGc5whhcDB4CzxooqEUcHHzolc4gJh4TUPZunk7vOWZNnAzUZ3bJlMX5e14EzPBuq0Fl6lO9EC8Fa1A9WCcd+vBxu9i6338wH5QEA4HtZOXYAOGudMdpJa5x5onwenFLrJ6xvaofieSXyaRVaCB5KqICnMn0HThVRz67tPrZlUZh8dCDuYoooD3C4fMG/WqZ6NhvIQx6giHk4tNqpdKwH+VSNtbISE4gpR16zz5ZWLgWvbb4W/SgZqcFf/mX8f2pphVZOthbYSn/Du4gQxA+S05cNd/+Pr3im7g3grHHGaKueauAPH7pIP0icEc0znOEMZ3gK5h6eBiKUiuP9D+Xw6DMATh3wTheaewE6a4Axyln7whKV/qNDFTrLDouddCFf615uvckbrBMvhZu9S+03nXUWQnjo3MufCv/KOCUgyilrgXkSjYHP+NHa+brGGfeMntA6bmK+yXnM8bPOFnziX+9DlDYb7ottwpC3cTV8q7nBlsZHcs+7W970QhwxHwVGO52O1SCb6rGzwM6V8lGzxxZrohn++A//OPxfP/h/xv97nVVu5fLF4JooTBa3af/pe/ft4pRkftndBWHNFZ84hpsbt2mnTqOvH1v//jg/WLp5RjTPcIYznOFLMLfAeu54268CiCCECGKEIUEEEYggghDi5kbcYhFtEo4DiCBGBBLqk4g3WEtmqs0brALWWWeBscZqq52eC2fcY+PD2kAaYUQggpg3GOExa/OYtamHA4ggQhgR6pOQR6zJG6ztNXg+t0GrxzdOu3mg5Is+B0+DLFWWHuU7Xof3k/3sDvFwEPb85ZUf9f+OhiSmPgkXrnVyVZkc1PsFIYYEU8yIhwMW0gZEECb72VZ6lO9YbZVR9oXEx74AuGeRxOdZHzy7mvkQVGXKbKJGWnqC+ygMGqTFAxxRjrjRTmMMcdSmvc4yX8cEkmSojsrUzB6sxClhq2SojoOYNAEE7zS6dKm3xs8tD4OrmCI2ORK7yUgdy8qWp+txHyNCIacc+YRChhDEWrgqn6qRVk465ywEAAYxafsN0vqyiqa1wBjtFHDOYQoZoYhDwIISqwAACsFJREFUBF9I0tyD0MJW+UyPZWlyyqFHOPZqs3nsGW21s8C0Fli7tcBWqIf9fKrH+UyPjXIPpanNK8dfdq1+sCQTgDOieYYznOEMLw33SCaBlHrExxz7iCCKCGJei/W8JusQH4f1MojxiDb8Ju+qQmdWWzX/SF2ZUjlTAgM0eCBesaaYECGCCOE4IB72EUEMU8T8Nu95Ld6lAY3m41Ma0thrso7X8npa2spqq6yyUgtT6sqUFlgNwIuxB3oeqEJnqc53aUjiyXZy02vxftD1lprr0UWvxbtB11ssRuVxMaqO5tPIkHDss5DGfttbiJfDDYgh2f63g3+qEjHWpcnBc2Ri/xBRFSaDQ3mkhCm9CDciSYQf4QbzsC9LU2ICSaPHlhbP+VcwQXR8JPbymR6fCoUAAEAJK9KxPAkbuAUAcGGbdHtr3nlR2BwTSI/vVl9MT+SBlvZeOASEAGEKKaaAOgeckk4oVU+ZOwccRBD7MW52Vvh60CDt6bF8ZjuEtc5qbaUDwBEGGeGQIwxeeD+nrGyZjtSgyk1aJ0DhwI9Jk3kokBUojLIuatP+0nn/CvdRmI7UcTZWAy3di4vt/YHgjGie4QxnOMNLAiaIsYg2vBbvxcvhZtT3VyBBFGFIgp6/HPb85XgxXCcceyyijeZ6fBlACOPl8FyVyLEzVhtpRXpU7GRH+a5I1QQRND0VySCKKPVI6LV4t7EaXYgW/NVTIuu3eK/ebrCBGeIspI3manQBAAD8jrdYzeTIaquMNFU2KA/yk/KgmokhImj0bYlwrLYaAKCjxeBweGPyAYQQdS40rzVWwvM0IFH7XONq2PdXRKZmzjoDXJ0mhBni1CcRj1lLV6ZEGFHgXpBT+xw8wGGjSxc2Xo26PMBR3KH99hJfJQzyzhJb23wt+vHma9GxllaUmUnyqR6DF5ix/lWhlRNlbsBsqI4He9UWhBD21vh5RCDRwgqIIeqt8HPtZb4mK1PsfJZ/MDoQ21q6e6RxXqU0Cxtels/0pMrMLGqSzsar4dvDveruyXZ5a3oiD/QDVT1rnVGVLavcpGVmZqI0ebPLFi++E//stKLbW/POIQyJmVc4n3UcZWqmwz1xF2GAu6veOcqRny6rjQtvxsMyM0mZ6aTKTVrl5l6McdSmnUaXLm68GjW9AEfLF/2rUYf0/AjHCxvepQtvxe9paYWSTuQzPc6nagwhlFVh0nSsBsN9cbfRY4vNHl26+E78MyWtsNqp7qp3rrfCN50F5uB2cf1kp7oty6fbLP1HxRnRPMMZznCGlwTMsR/2/ZX2+ea1lXf6/2nhWuddMJ/qJhx7mGGfhSQmHgkQRax/pf12az2+pKWtrDLSOfD/t3dvP24bVxjAZzi8SaRuq/WuvV4769hOUTtp/VA07XP/9SJACxiIE6d24oW9u5J2daEoieJtOLc+UHLtxDGawGpQ4/s96I2kQFLAhxmdc4wSio+fRF9dPYm+Wg3Wp3WFdh1omGt5jZ6337vTeXDry8O/HT7s/5lQalGLWsyxPOYyzw2dzvb8/XudL9pHwR3JVaGErow2WnJVzJ7Fj6fP4sfxy9W/qlQk5H8cmHhSxZPv5v/MZsVVOskH/budh82+f73R9w/Dw+Yxcy3P1JuTWkkttdBcFDLj62qZTvJBueTRZoX2gzXSDzp27+Tz8E837zcf+iFrB227d+Ne44HbYMHR/eBzLY1cRWKcreRielGcDp7nT9Kl+M2acWtplNCmnF/y8xeP13+/duzfObrffPDpo9ZfjKnnilNSh8mL59nXF8+yr5eTaiTqfqFvEdyUy2l1ORvys70b7q2DT/x7y2l1NTkvT5eTt1c0pTAiT+QimYnxel5NylQl1z9t/G7vyL2lpJFKEkkpoVWhsmItV4Kb907GSeZiOniePTk8ady/9VnzD84XoV9map3MxXRyXr6Ynpen0bB8RQh5HTT3bni37z5q/XXvunvsB6zVu+4d79/0T/yAte/+sfWl32RhthJxtpKL4ff5N4NMpYLrwhjDl9Pq8uU36T8OP/E/2zvybt/+ffDo9UQjQiihhI5e5E8Hz7Mn0YifFZlaf8jn9jFA0AQA+K3Q15+UkE3BhjLGEKMrqVOSibRYvHvs6mvbRvI/fw36RkFIPStWbye7y6xc8fePjN2UQ1BK6H9dsKCNLublZH66/JZoYiRXZTotRrJSv+o/rqKQObVoUa3FSkstRCaS9nF4t1O27nmh03YDp1NPECJacVWKUmY8qRbZrLhcX2Vn+bwY6zo4f7CgSesZ6qyeWU2pUkTW28aGr2MxI7TuHWnZxKYWZYQSuulHKcpMpfNLfjH6Ifs2iarxm6t4ShpRFSpfL0QUjfgryyKsSNXKEGKUrKcELafV5ehF9jQe8+GboU5ro6pSF/lKLuIrfkEpIelCzompt5wJITrsOdPLF/lTLY30mlbYCO2OZRG7nkyj0yKRy/iSX0zOyh94rjIlzU/+alBxXcxH/GwQZm1Z6ZISQpYTPlqMq0G2krGW/7nPm1XQotVz4tmAvwq7+b4fsnajxdqE1AV3eSIX6UJGguuSGEKSWEyrQr8zcGZLEY9fFc+ZTe2wY++FPdqnlFLmUMdi1KYWsX78nlJKKLOpTRllhFLKc5XOhuUr26Funsgls6nD6ilHjFrEIpSQTUsn1WzZ8fhl8b2SRtqu5YZde8+qe3yyMlMpz1W6GFfD6Xl5uo7FTFSaM5vaShhRpDKZD/mZbVNnHYu3fsdKGsFznSWxmM4G5cuq1Hn5kYZU+v9YsAcA8DFgLnPdwG55LbcX7DduNHr+L666NdrofF6O83kx5qlYValItKq3tpnDHNtnTb/t9oKD5nFzzz/4pefXyqhiWc7KBY/KpIp5Ui225/85FrNY6yg4aR8FJ9sK6yIup+kkH1S5SN937Pswhzley+l6Lbfrhk7HDZyO5VgucyyHbNpNaWWUVlpsG7RXuUzLJY94Ui3eVSz1a/kBCzvX3OtBx97bBhXHs3zHs3xR6qIqdSEqXQquy2KtVuuFiATXBbOp4zVZ0Dtwb7b6zkE05GfRqDzbFs84ruVu54aHXWefUEIXk2q4nosZc+oxkr1D72b30D1KomoSDfnZtgcnsy3b9a2G17TCsOv0/YCF8ZiP4is+2H5vx7N8r8GazbbdDXv2vtfcTMcxxChphBS6SiIxSeZioqQWSv60LY/jWV7YdfbDnt1vtu1us8U60YifRyN+JkpdqE3h2JvHuJsWR62+c2A71GWO5RhttNZEy0pzwXWpFVGEECO4LtcLERVrmfz42l6DNb0mC4Ku3W/1nH3Ho/7mHGWeqFW+lsuy3kJ/Hdpae85+55p7w2uwgNnUtl3qOZ7lU4taolT1s+K6lJXh6UJE64WM1Gb123Yt1/Otpt+y262evd9o2Z3Nu0aUNEJJI9axmCWRmAiuS62NovUkJtcPWKt76N3c3J+zaFiev3kPXc9qNNp2N+zafa2MjMfVcNsT9WOCoAkAAAAAO/HBWwIAAAAAABCCoAkAAAAAO4KgCQAAAAA7gaAJAAAAADuBoAkAAAAAO4GgCQAAAAA7gaAJAAAAADuBoAkAAAAAO4GgCQAAAAA7gaAJAAAAADuBoAkAAAAAO4GgCQAAAAA7gaAJAAAAADuBoAkAAAAAO4GgCQAAAAA7gaAJAAAAADvxb6CPiw5DdvQbAAAAAElFTkSuQmCC\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "for row in range(0,1):#df.shape[0]):\n", " wc = WordCloud(max_font_size=50, stopwords = stopword_punct_list, width=300, height=200, min_font_size=6, mode=\"RGBA\", \n", " background_color=None, normalize_plurals=True).generate(df['position'][row])\n", " plt.figure(figsize=[15,8])\n", " plt.imshow(wc, interpolation = \"bilinear\")\n", " plt.axis(\"off\")\n", " new_file_name = \"wordcloud_\"+str(df.index[row])+\".png\"\n", " file_name = (new_file_name)\n", " plt.savefig(file_name)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Sentiment analysis\n", "\n", "Before you start looking at more advanced machine learning-based textual data analysis methods, it's worth doing a quick sentiment analysis on your data. For this, we'll use our new TextBlob package again.\n", "\n", "By running the text below, we can see that a tuple is return for each document. These two numbers represent the polarity and subjectivity of the document. For the time being, we are only interest in the polarity as this is what indicates the sentiment; the closer it is to -1, the more negative the document, and the closer it is to 1, the more positive the document is. Down the line, we'll use this as feature to build ML models." ] }, { "cell_type": "code", "execution_count": 25, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "0 (-0.03333333333333334, 0.18)\n", "1 (0.03333333333333333, 0.06666666666666667)\n", "2 (0.0, 0.325)\n", "3 (0.0, 0.0)\n", "4 (0.0, 0.06666666666666667)\n", "Name: position, dtype: object\n" ] } ], "source": [ "sa = df['position'][:5].apply(lambda x: TextBlob(x).sentiment)\n", "print(sa)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Here, we are just extracting the polarity and looking at it in a dataframe." ] }, { "cell_type": "code", "execution_count": 26, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
positionsentiment
0professor (anthropology sociology)science tech...-0.033333
1senior lecturer (sociology), director educatio...0.033333
2senior lecturer (sociology)political religious...0.000000
3lecturer data analysis0.000000
4senior lecturer science technology studiesscie...0.000000
.........
113honorary research fellow0.000000
114professor0.000000
115associate member0.000000
116graduate research assistantanthropology sociol...0.000000
117graduate research assistant0.000000
\n", "

118 rows × 2 columns

\n", "
" ], "text/plain": [ " position sentiment\n", "0 professor (anthropology sociology)science tech... -0.033333\n", "1 senior lecturer (sociology), director educatio... 0.033333\n", "2 senior lecturer (sociology)political religious... 0.000000\n", "3 lecturer data analysis 0.000000\n", "4 senior lecturer science technology studiesscie... 0.000000\n", ".. ... ...\n", "113 honorary research fellow 0.000000\n", "114 professor 0.000000\n", "115 associate member 0.000000\n", "116 graduate research assistantanthropology sociol... 0.000000\n", "117 graduate research assistant 0.000000\n", "\n", "[118 rows x 2 columns]" ] }, "execution_count": 26, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df['sentiment'] = df['position'].apply(lambda x: TextBlob(x).sentiment[0] )\n", "df[['position','sentiment']]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Thanks for watching!\n", "\n", "## If you have any questions, please contact l.brace@exeter.ac.uk" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "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": "3.7.7" } }, "nbformat": 4, "nbformat_minor": 4 }