{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Harry Potter Movie Review Analysis \n",
    "## By Ali Ho "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Packages and functions to be used\n",
    "import os \n",
    "\n",
    "#For regex \n",
    "import re\n",
    "\n",
    "#importing pandas \n",
    "import pandas as pd \n",
    "\n",
    "#To create a wordcloud/graphs\n",
    "import numpy as np \n",
    "from wordcloud import WordCloud, ImageColorGenerator\n",
    "from PIL import Image\n",
    "import matplotlib as mpl\n",
    "import matplotlib.pyplot as plt \n",
    "from matplotlib import cm \n",
    "from colorspacious import cspace_converter\n",
    "import seaborn as sns\n",
    "#Allows for randomization, you can set a seed to have reproducable results\n",
    "import random\n",
    "\n",
    "#from PIL import Image\n",
    "from PIL import ImageFilter\n",
    "import numpy as np\n",
    "#Allows for several values for the same dictionary key \n",
    "import multidict\n",
    "\n",
    "#To get a count of words (used in the term_frequency)\n",
    "from collections import Counter \n",
    "\n",
    "#NLTK Packages \n",
    "#To process text using nltk (remove stopwords, lemmatize, tokenize...)\n",
    "from nltk.corpus import stopwords\n",
    "import nltk\n",
    "from nltk.stem import WordNetLemmatizer \n",
    "#Porter stemmer \n",
    "from nltk.stem.porter import PorterStemmer \n",
    "\n",
    "from nltk.sentiment.vader import SentimentIntensityAnalyzer as SIA\n",
    "\n",
    "#To perform machine learning in Naive Bayes I need to import the following packages \n",
    "from sklearn.model_selection import train_test_split \n",
    "# To model the Gaussian Navie Bayes classifier\n",
    "from sklearn.naive_bayes import GaussianNB\n",
    "#Multinomrial classifier for naive bayes\n",
    "from sklearn.naive_bayes import MultinomialNB\n",
    "#SVMs \n",
    "from sklearn.svm import SVC\n",
    "# To calculate the accuracy score of the model\n",
    "from sklearn.metrics import accuracy_score\n",
    "#confusion matrix \n",
    "from sklearn.metrics import confusion_matrix, classification_report"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Functions I created that will be used in the document: "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Function 1: Creating a function to read in my files. This function will read in all the files in a specific directory. \n",
    "    #inputs: list of all of the file names to read \n",
    "    #        the path where the files are located \n",
    "    #outputs: a list, each element in the list is the content for each file that was read in. \n",
    "def reading_in_files(list_of_file_names, path):\n",
    "    empty_list = []\n",
    "    for file in list_of_file_names: \n",
    "        file = open(path+ \"\\\\\" + file)\n",
    "        data = file.read() \n",
    "        empty_list.append(data)\n",
    "        file.close()\n",
    "    return(empty_list)\n",
    "\n",
    "#Function 2: Creating a function to split the output from the just_compound_and_doc function. \n",
    "    #inputs: the list that is to be split,\n",
    "            #the item that we want to split on \n",
    "    #outputs: a list of split lists that when put into a df, will create columns based on where the list was split\n",
    "def list_split(list_to_be_split, item_to_split_on):\n",
    "    empty_list = []\n",
    "    for element in list_to_be_split: \n",
    "        empty_list.append(element.split(item_to_split_on))\n",
    "    return(empty_list)\n",
    "\n",
    "#Function 2: Vader (from NLTK) sentiment intensity score calculator. This function will calculate the polarity score \n",
    "#for each file. It will return a list of dictionaries. Each dictionary will contain the following: a compound score, \n",
    "#positive score, negative score, neutral score, and the opinion. \n",
    "    #inputs: a list of the content to be analyzed (this is what is returned in the reading_in_files function)\n",
    "    #Output: a list of dictionaries. Each dictionary will contain the following: a compound score, postive score, \n",
    "    #        negative score, neutral score, and the opinion \n",
    "def sentiment_intensity_score(sentiment_files): \n",
    "    sent_analyze = SIA()\n",
    "    results = []\n",
    "    for word in sentiment_files: \n",
    "        score = sent_analyze.polarity_scores(word)\n",
    "        score[\"sentiment_file\"] = word \n",
    "        results.append(score)\n",
    "    return(results)\n",
    "\n",
    "\n",
    "#Function 3: \n",
    "    #What the function does: to be creating a list of reviews, then joining the reviews together to a string and \n",
    "                             #getting a count for each word in the string\n",
    "    #Input: df and column \n",
    "    #Output: a dictionary with each word and the count of the word\n",
    "def creating_freq_list_from_df_to_dict(df, column):\n",
    "    reviews = df[column].tolist() \n",
    "    review_string = \" \".join(reviews)\n",
    "    review_string = review_string.split()\n",
    "    review_dict = Counter(review_string)\n",
    "    return review_dict\n",
    "\n",
    "#Function 3: \n",
    "    #What the function does: creates a word cloud that is in the shape of the mask passed in\n",
    "    #Input: the location where the mask image is saved, the frequency word dictionary, and the max # of words to include\n",
    "            #and the title of the plot \n",
    "def create_word_cloud_with_mask(path_of_mask_image, dictionary, \n",
    "                                max_num_words, title):\n",
    "        mask = np.array(Image.open(path_of_mask_image))\n",
    "        #creating the word cloud \n",
    "        word_cloud = WordCloud(background_color = \"white\", \n",
    "                               max_words = max_num_words, \n",
    "                              mask = mask, max_font_size = 125, \n",
    "                              random_state = 1006)\n",
    "        word_cloud.generate_from_frequencies(dictionary)\n",
    "        #creating the coloring for the word cloud \n",
    "        image_colors = ImageColorGenerator(mask)\n",
    "        plt.figure(figsize = [8,8])\n",
    "        plt.imshow(word_cloud.recolor(color_func = image_colors), \n",
    "                  interpolation = \"bilinear\")\n",
    "        plt.title(title)\n",
    "        sns.set_context(\"poster\")\n",
    "        plt.axis(\"off\")\n",
    "        return plt\n",
    "\n",
    "#Function 4: \n",
    "    #What the function does: creates a df with two columns: word and count of the top 12 words\n",
    "    #Input: the word frequency dictionary \n",
    "    #Output: a df with the top 12 words \n",
    "def word_freq_dict_to_df_top_words(dictionary, number_of_words_wanted): \n",
    "    df = pd.DataFrame.from_dict(dictionary,orient='index')\n",
    "    df.columns = [\"count\"]\n",
    "    df[\"word\"] = df.index\n",
    "    df.reset_index(drop = True, inplace = True)\n",
    "    df.sort_values(by=[\"count\"], ascending = False, inplace = True)\n",
    "    df = df[:number_of_words_wanted]\n",
    "    return(df)\n",
    "\n",
    "#Function 5: \n",
    "    #What the function does: creates a bar graph\n",
    "    #Input: the df and title of the graph \n",
    "    #Output: the bar graph\n",
    "def top_words_bar_plot(df, title): \n",
    "    with sns.plotting_context(\"talk\"):\n",
    "        graph = sns.barplot(y = \"count\", x = \"word\", data = df, \n",
    "                           palette = \"GnBu_d\")\n",
    "        plt.title(title)\n",
    "        plt.xlabel(\"Word\")\n",
    "        plt.ylabel(\"Count\")\n",
    "        plt.xticks(rotation = 90)\n",
    "        return plt\n",
    "\n",
    "#Function 6: \n",
    "    #What the function does: creates a df with two columns: word and count \n",
    "    #Input: the word frequency dictionary \n",
    "    #Output: a df\n",
    "def word_freq_dict_to_df_all_words(dictionary): \n",
    "    df = pd.DataFrame.from_dict(dictionary,orient='index')\n",
    "    df.columns = [\"count\"]\n",
    "    df[\"word\"] = df.index\n",
    "    df.reset_index(drop = True, inplace = True)\n",
    "    df.sort_values(by=[\"count\"], ascending = False, inplace = True)\n",
    "    return(df)\n",
    "    \n",
    "#Function 7: \n",
    "    #What the function does: Returns 2 statements: One with the total number of words and the other with the number \n",
    "                            #of unique words \n",
    "        #Input: the frequency count dictionary \n",
    "        #output: 2 statements \n",
    "def total_words_unique_words(dictionary): \n",
    "    eda_reviews_all_words = word_freq_dict_to_df_all_words(dictionary)\n",
    "    print(\"The total number of words is\", sum(eda_reviews_all_words[\"count\"]))\n",
    "    print(\"The total number of unique words is\", len(dictionary)) \n",
    "    \n",
    "#Function 8: \n",
    "    #What the function does: It duplicates the words in each review that are in all caps. \n",
    "    #Input: the review to be analyzed\n",
    "    #Output: a new review where the first words of the review are the duplicated words from all caps and \n",
    "            #then the original review follows\n",
    "def duplicate_all_cap_words(review): \n",
    "    capitalized_word = \"\"\n",
    "    for word in re.findall('([A-Z][A-Z]+\\w)', review):\n",
    "        if word in review: \n",
    "            capitalized_word = capitalized_word + \" \" + word\n",
    "    new_review = capitalized_word +\" \" + review\n",
    "    return new_review\n",
    "\n",
    "#Function 8: \n",
    "def get_count_of_all_cap_words(review): \n",
    "    count = 0 \n",
    "    for word in re.findall('([A-Z][A-Z]+\\w)', review):\n",
    "        if word in review: \n",
    "            count += 1\n",
    "    return count\n",
    "\n",
    "#Function 8: \n",
    "def get_count_of_all_words(review): \n",
    "    count = 0 \n",
    "    for word in re.findall('([A-z]+\\w)', review):\n",
    "        if word in review: \n",
    "            count += 1\n",
    "    return count\n",
    "\n",
    "#Function 9: \n",
    "    #What the function does: It removes all words that have less than 3 characters in it. \n",
    "    #Input: The string to have stopwords removed \n",
    "    #Ouptut: The string with the words with 2 or less characters removed \n",
    "def remove_words_less_than_3_characters(string):\n",
    "    new_string = \"\"\n",
    "    for word in re.findall('[A-z][A-z]+\\w', string): \n",
    "        new_string = new_string + \" \" + word\n",
    "    return new_string\n",
    "\n",
    "#Function 10: \n",
    "    #What the function does: Removes stopwords \n",
    "    #Input: a list of stopwords to be removed, the tokenized item that you want to remove stopwords in \n",
    "    #Output: the same item type back with the stopwords removed. \n",
    "def stop_word_removal(stopwords, item_that_you_want_to_remove_stopwords_in): \n",
    "    removed_stopwords = [] \n",
    "    for word in item_that_you_want_to_remove_stopwords_in: \n",
    "        if word in stopwords: \n",
    "            continue\n",
    "        if word not in stopwords: \n",
    "            removed_stopwords.append(word)\n",
    "    return(removed_stopwords)\n",
    "\n",
    "#Function11: \n",
    "    #What the function does: It takes the tokens from the df and joins it into a string, then replaces the \",\" with a space\n",
    "    #Input: the df and column to be changed \n",
    "    #Output: the data untokenized \n",
    "def getting_data_ready_for_freq(df, column): \n",
    "    df[column] = df[column].apply(\",\".join)\n",
    "    df[column] = df[column].str.replace(\",\", \" \")\n",
    "    return(df[column])\n",
    "\n",
    "#Function 12: \n",
    "    #What the function does: Takes the words in a column and uses the SentimentInstensityAnalyzer from nltk and \n",
    "                             #gets the sentiment score for every word in the column. If the word has a sentiment \n",
    "                             #score greater than or equal to .3 (max is 1) or less than or equal to -.3 (-1 is min)\n",
    "                             #the word is added to the keep_words list if not the word will be removed. \n",
    "def pos_neg_words(column):\n",
    "    sia = SIA()\n",
    "    keep_words = []\n",
    "\n",
    "    for word in column:\n",
    "        if (sia.polarity_scores(word)['compound']) >= 0.005:\n",
    "            keep_words.append(word)\n",
    "        elif (sia.polarity_scores(word)['compound']) <= -0.005:\n",
    "            keep_words.append(word)\n",
    "        elif word == \"not\": \n",
    "            keep_words.append(word)\n",
    "        else:\n",
    "            continue               \n",
    "    return keep_words\n",
    "\n",
    "#Function 13: \n",
    "    #What the function does: It uses the Porter stemmer to stem each word in the column \n",
    "    #Input: the item that you want to be stemmed \n",
    "    #Output: the same item type back with the words stemmed \n",
    "def stem_fun(item_that_you_want_to_be_stemmed):     \n",
    "    stemmer = PorterStemmer() \n",
    "    stemmed = [stemmer.stem(token) for token in item_that_you_want_to_be_stemmed]\n",
    "    return(stemmed)\n",
    "\n",
    "#Function 14: \n",
    "    #What the function does: It lemmatizes the data without using pos, meaning that it will not be as efficient\n",
    "    #Input: item to be lemmatized (the column)\n",
    "    #Output: the column lemmatized \n",
    "def lemma_func(item_to_lemmatize):\n",
    "    lemmatizer = WordNetLemmatizer()\n",
    "    lemmatized_review = []\n",
    "    for token in item_to_lemmatize: \n",
    "        word = lemmatizer.lemmatize(token)\n",
    "        lemmatized_review.append(word)\n",
    "    return lemmatized_review\n",
    "\n",
    "#Function 15: \n",
    "    #What the function does: Creates bigrams from a tokenized column in a dataframe\n",
    "    #Input: the column that you want to create a ngram with \n",
    "    #Output: a list of ngrams\n",
    "def creating_ngrams(item_to_be_ngrammed, number_of_ngram):\n",
    "    # zip function helps generate ngrams\n",
    "    ngrams = zip(*[item_to_be_ngrammed[i:] for i in range(number_of_ngram)])\n",
    "    # Concatentate the tokens into ngrams and return\n",
    "    return [\"_\".join(ngram) for ngram in ngrams]\n",
    "\n",
    "#Function 16: \n",
    "    #What the function does: Create a bag of words from a column in a df... \n",
    "    #Input: df and column to be transformed \n",
    "    #Output: A list of dictionaries for each row in the df that contains the word as a key and the count as the value \n",
    "def bag_of_words(df, column_to_be_bagged):\n",
    "    bag_of_words = [] \n",
    "    from collections import Counter \n",
    "    for word in df[column_to_be_bagged]: \n",
    "        bag_of_words.append(Counter(word))\n",
    "    return bag_of_words\n",
    "\n",
    "#Function 17: \n",
    "    #What the function does: Takes the bag of words and makes it into a giant sparse matrix df, with 0s where nas are\n",
    "    #Input: bag of words \n",
    "    #Output: Giant df with the words as column names and counts as row entries \n",
    "def bow_to_df(bag_of_words): \n",
    "    df = pd.DataFrame.from_records(bag_of_words)\n",
    "    df = df.fillna(0).astype(int)\n",
    "    return(df)\n",
    "\n",
    "#Function 18: \n",
    "    #What the function does: It normalizing the df by getting the sum of each row and then dividing every entry by \n",
    "                             #the sum, resulting in the percentage make-up of each word\n",
    "    #Input: dataframe to be normalized \n",
    "    #Output: normalized dataframe \n",
    "def normalize_df(df):\n",
    "    names = df.columns \n",
    "    df[\"total\"] = df.sum(axis = 1)\n",
    "    for name in names: \n",
    "        df[name] = df[name]/df[\"total\"]\n",
    "    return(df)\n",
    "\n",
    "#Function 19: \n",
    "    #What the function does: Creates a confusion matrix graph \n",
    "    #Input: the confusion matrix, accuracy_label, and type of df \n",
    "    #Output: Confusion matrix graph\n",
    "def confusion_matrix_graph (cm, accuracy_label, type_of_df): \n",
    "    g = plt.figure(figsize=(8, 8))\n",
    "    g = sns.heatmap(cm, annot=True, fmt=\".3f\", linewidths=.5, square = True, cmap = 'Blues_r', cbar = False);\n",
    "    g = plt.ylabel('Actual');\n",
    "    g = plt.xlabel('Predicted');\n",
    "    g = all_sample_title = type_of_df +' Accuracy Score: {0}'.format(round(accuracy_label, 4))\n",
    "    g = plt.title(all_sample_title, size = 12);\n",
    "    return(g)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 253,
   "metadata": {},
   "outputs": [],
   "source": [
    "#First step is importing the documents\n",
    "#Getting a list of all the file names in my pos file \n",
    "positive = os.listdir(\"C:\\\\Users\\\\ho511\\\\Desktop\\\\IST_736\\\\homeworks\\\\week_3\\\\harry_potter_corpus\\\\pos\")\n",
    "positive_path = \"C:\\\\Users\\\\ho511\\\\Desktop\\\\IST_736\\\\homeworks\\\\week_3\\\\harry_potter_corpus\\\\pos\"\n",
    "\n",
    "#Getting a list of all the file names in my neg file \n",
    "negative = os.listdir(\"C:\\\\Users\\\\ho511\\\\Desktop\\\\IST_736\\\\homeworks\\\\week_3\\\\harry_potter_corpus\\\\neg\")\n",
    "negative_path = \"C:\\\\Users\\\\ho511\\\\Desktop\\\\IST_736\\\\homeworks\\\\week_3\\\\harry_potter_corpus\\\\neg\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### looking to see if I successfully got the file names "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 254,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['10_hp1_0.txt', '10_hp1_1.txt', '10_hp1_10.txt', '10_hp1_11.txt', '10_hp1_12.txt', '10_hp1_13.txt', '10_hp1_14.txt', '10_hp1_15.txt', '10_hp1_16.txt', '10_hp1_18.txt']\n"
     ]
    }
   ],
   "source": [
    "print(positive[:10])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### looking at the first 10 items in the negative list to ensure I successfully extracted the file names "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 255,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['1_hp1_1.txt', '1_hp1_10.txt', '1_hp1_11.txt', '1_hp1_12.txt', '1_hp1_13.txt', '1_hp1_14.txt', '1_hp1_15.txt', '1_hp1_16.txt', '1_hp1_17.txt', '1_hp1_18.txt']\n"
     ]
    }
   ],
   "source": [
    "print(negative[:10])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Using my reading_in_file function to read in all of the positive files "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 256,
   "metadata": {},
   "outputs": [],
   "source": [
    "positive_reviews = reading_in_files(positive, positive_path)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Confirming that the function worked by looking at the first review"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 257,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\"10** Harry Potter and the Sorcerer's Stone\\n== 10/10 - an unforgettable start to a fantastic film series and the career of the impeccable Emma Watson (and the other kids)\""
      ]
     },
     "execution_count": 257,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "positive_reviews[3]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### The score is separated from the review by **, the title is separated from the review on ==. It is important to note, that if I split on the **, it is possible that the review will also be split. There is a high likelihood that the \"**\" characters are included in some of the review text as well. This will have to be addressed. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 258,
   "metadata": {},
   "outputs": [],
   "source": [
    "positive_reviews = list_split(positive_reviews, \"**\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Checking to make sure that it worked."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 259,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['10',\n",
       " \" Harry Potter and the Sorcerer's Stone\\n== 10/10 - an unforgettable start to a fantastic film series and the career of the impeccable Emma Watson (and the other kids)\"]"
      ]
     },
     "execution_count": 259,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "positive_reviews[3]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Changing the positive_review list to a data frame. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 260,
   "metadata": {},
   "outputs": [],
   "source": [
    "positive_df = pd.DataFrame(positive_reviews)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Looking at the first 5 rows "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 261,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "      <th>7</th>\n",
       "      <th>8</th>\n",
       "      <th>9</th>\n",
       "      <th>...</th>\n",
       "      <th>18</th>\n",
       "      <th>19</th>\n",
       "      <th>20</th>\n",
       "      <th>21</th>\n",
       "      <th>22</th>\n",
       "      <th>23</th>\n",
       "      <th>24</th>\n",
       "      <th>25</th>\n",
       "      <th>26</th>\n",
       "      <th>27</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>The Magic Comes To Life!\\n== Once upon a time...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>Pure Magic\\n== This movie is a delight for th...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>Enchantment, Trapdoor to Imaginary World.\\n==...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>10</td>\n",
       "      <td>Harry Potter and the Sorcerer's Stone\\n== 10/...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "      <td>Great Journey to the Magic World\\n== I watch ...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 28 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   0                                                  1     2     3     4   \\\n",
       "0  10   The Magic Comes To Life!\\n== Once upon a time...  None  None  None   \n",
       "1  10   Pure Magic\\n== This movie is a delight for th...  None  None  None   \n",
       "2  10   Enchantment, Trapdoor to Imaginary World.\\n==...  None  None  None   \n",
       "3  10   Harry Potter and the Sorcerer's Stone\\n== 10/...  None  None  None   \n",
       "4  10   Great Journey to the Magic World\\n== I watch ...  None  None  None   \n",
       "\n",
       "     5     6     7     8     9   ...    18    19    20    21    22    23  \\\n",
       "0  None  None  None  None  None  ...  None  None  None  None  None  None   \n",
       "1  None  None  None  None  None  ...  None  None  None  None  None  None   \n",
       "2  None  None  None  None  None  ...  None  None  None  None  None  None   \n",
       "3  None  None  None  None  None  ...  None  None  None  None  None  None   \n",
       "4  None  None  None  None  None  ...  None  None  None  None  None  None   \n",
       "\n",
       "     24    25    26    27  \n",
       "0  None  None  None  None  \n",
       "1  None  None  None  None  \n",
       "2  None  None  None  None  \n",
       "3  None  None  None  None  \n",
       "4  None  None  None  None  \n",
       "\n",
       "[5 rows x 28 columns]"
      ]
     },
     "execution_count": 261,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "positive_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### This shows that my worry about the reviews being split on ** was warranted. I need to joing the review text to one column.  Positive, is the the score was successfully extracted"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 262,
   "metadata": {},
   "outputs": [],
   "source": [
    "positive_df[\"review\"] = positive_df[positive_df.columns[1:]].apply(lambda row: \" \".join(row.dropna().astype(str)), axis = 1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### selecting only column 0 (the rating) and the review column for the new dataframe. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 263,
   "metadata": {},
   "outputs": [],
   "source": [
    "positive_df = positive_df[[0, \"review\"]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 264,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "      <th>review</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>The Magic Comes To Life!\\n== Once upon a time...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>Pure Magic\\n== This movie is a delight for th...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>Enchantment, Trapdoor to Imaginary World.\\n==...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>10</td>\n",
       "      <td>Harry Potter and the Sorcerer's Stone\\n== 10/...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "      <td>Great Journey to the Magic World\\n== I watch ...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    0                                             review\n",
       "0  10   The Magic Comes To Life!\\n== Once upon a time...\n",
       "1  10   Pure Magic\\n== This movie is a delight for th...\n",
       "2  10   Enchantment, Trapdoor to Imaginary World.\\n==...\n",
       "3  10   Harry Potter and the Sorcerer's Stone\\n== 10/...\n",
       "4  10   Great Journey to the Magic World\\n== I watch ..."
      ]
     },
     "execution_count": 264,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "positive_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Changing the column names"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 265,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>rating</th>\n",
       "      <th>review</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>The Magic Comes To Life!\\n== Once upon a time...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>Pure Magic\\n== This movie is a delight for th...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>Enchantment, Trapdoor to Imaginary World.\\n==...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>10</td>\n",
       "      <td>Harry Potter and the Sorcerer's Stone\\n== 10/...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "      <td>Great Journey to the Magic World\\n== I watch ...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  rating                                             review\n",
       "0     10   The Magic Comes To Life!\\n== Once upon a time...\n",
       "1     10   Pure Magic\\n== This movie is a delight for th...\n",
       "2     10   Enchantment, Trapdoor to Imaginary World.\\n==...\n",
       "3     10   Harry Potter and the Sorcerer's Stone\\n== 10/...\n",
       "4     10   Great Journey to the Magic World\\n== I watch ..."
      ]
     },
     "execution_count": 265,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "positive_df.columns = [\"rating\", \"review\"]\n",
    "positive_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Repeating the process for the negative reviews"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 266,
   "metadata": {},
   "outputs": [],
   "source": [
    "negative_reviews = reading_in_files(negative, negative_path)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 267,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'1** For Kids Only, Unfortunately\\n== ***SLIGHT SPOILERS*** As an adult, it didn\\'t appeal to me in the least. The effects were poorly done, the giant plot leap in the middle (\"lots of strange things are happening-- hey, I know! it\\'s definitely because the creepy teacher guy wants the thing under the trap door under the three-headed dog\") threw me completely out of the story. It\\'s really a kids only movie, which disappointed me, because I\\'d been hearing such good things about it. And then at the end, Harry is sent back to his abusive adoptive parents. So much for changing one\\'s situation.And I know that they had to cut tremendous amounts of story in order to make it only 2 1/2 hours long (which was still way too long for this movie). After waiting in line outside the theater with tickets bought a week ahead of time, I must say I was truly disappointed. I\\'m even more saddened by the commercial success and the lunacy of die hard Harry Potter fans which will keep this sad and poorly-written movie in theaters much longer than it needs to be.Some books should remain books.'"
      ]
     },
     "execution_count": 267,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "negative_reviews[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 268,
   "metadata": {},
   "outputs": [],
   "source": [
    "negative_reviews = list_split(negative_reviews, \"**\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 269,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['1',\n",
       " ' For Kids Only, Unfortunately\\n== ',\n",
       " '*SLIGHT SPOILERS',\n",
       " '* As an adult, it didn\\'t appeal to me in the least. The effects were poorly done, the giant plot leap in the middle (\"lots of strange things are happening-- hey, I know! it\\'s definitely because the creepy teacher guy wants the thing under the trap door under the three-headed dog\") threw me completely out of the story. It\\'s really a kids only movie, which disappointed me, because I\\'d been hearing such good things about it. And then at the end, Harry is sent back to his abusive adoptive parents. So much for changing one\\'s situation.And I know that they had to cut tremendous amounts of story in order to make it only 2 1/2 hours long (which was still way too long for this movie). After waiting in line outside the theater with tickets bought a week ahead of time, I must say I was truly disappointed. I\\'m even more saddened by the commercial success and the lunacy of die hard Harry Potter fans which will keep this sad and poorly-written movie in theaters much longer than it needs to be.Some books should remain books.']"
      ]
     },
     "execution_count": 269,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "negative_reviews[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 270,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "      <th>7</th>\n",
       "      <th>8</th>\n",
       "      <th>9</th>\n",
       "      <th>...</th>\n",
       "      <th>16</th>\n",
       "      <th>17</th>\n",
       "      <th>18</th>\n",
       "      <th>19</th>\n",
       "      <th>20</th>\n",
       "      <th>21</th>\n",
       "      <th>22</th>\n",
       "      <th>23</th>\n",
       "      <th>24</th>\n",
       "      <th>25</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>For Kids Only, Unfortunately\\n==</td>\n",
       "      <td>*SLIGHT SPOILERS</td>\n",
       "      <td>* As an adult, it didn't appeal to me in the l...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>An effects-laden excuse of an adaptation\\n== ...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>Hollywood's greatest shame.\\n== At first I li...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Dismal, Contrived, Ripoff and just plain dumb...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>Great storytelling, no story\\n==</td>\n",
       "      <td>SPOILERS</td>\n",
       "      <td>Before I briefly state my views, I must confes...</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 26 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "  0                                                  1                 2   \\\n",
       "0  1                  For Kids Only, Unfortunately\\n==   *SLIGHT SPOILERS   \n",
       "1  1   An effects-laden excuse of an adaptation\\n== ...              None   \n",
       "2  1   Hollywood's greatest shame.\\n== At first I li...              None   \n",
       "3  1   Dismal, Contrived, Ripoff and just plain dumb...              None   \n",
       "4  1                  Great storytelling, no story\\n==           SPOILERS   \n",
       "\n",
       "                                                  3     4     5     6     7   \\\n",
       "0  * As an adult, it didn't appeal to me in the l...  None  None  None  None   \n",
       "1                                               None  None  None  None  None   \n",
       "2                                               None  None  None  None  None   \n",
       "3                                               None  None  None  None  None   \n",
       "4  Before I briefly state my views, I must confes...              None  None   \n",
       "\n",
       "     8     9   ...    16    17    18    19    20    21    22    23    24    25  \n",
       "0  None  None  ...  None  None  None  None  None  None  None  None  None  None  \n",
       "1  None  None  ...  None  None  None  None  None  None  None  None  None  None  \n",
       "2  None  None  ...  None  None  None  None  None  None  None  None  None  None  \n",
       "3  None  None  ...  None  None  None  None  None  None  None  None  None  None  \n",
       "4  None  None  ...  None  None  None  None  None  None  None  None  None  None  \n",
       "\n",
       "[5 rows x 26 columns]"
      ]
     },
     "execution_count": 270,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "negative_df = pd.DataFrame(negative_reviews)\n",
    "negative_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 271,
   "metadata": {},
   "outputs": [],
   "source": [
    "negative_df[\"review\"] = negative_df[negative_df.columns[1:]].apply(lambda row: \" \".join(row.dropna().astype(str)), axis = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 272,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "      <th>7</th>\n",
       "      <th>8</th>\n",
       "      <th>9</th>\n",
       "      <th>...</th>\n",
       "      <th>17</th>\n",
       "      <th>18</th>\n",
       "      <th>19</th>\n",
       "      <th>20</th>\n",
       "      <th>21</th>\n",
       "      <th>22</th>\n",
       "      <th>23</th>\n",
       "      <th>24</th>\n",
       "      <th>25</th>\n",
       "      <th>review</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>For Kids Only, Unfortunately\\n==</td>\n",
       "      <td>*SLIGHT SPOILERS</td>\n",
       "      <td>* As an adult, it didn't appeal to me in the l...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>For Kids Only, Unfortunately\\n==  *SLIGHT SPO...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>An effects-laden excuse of an adaptation\\n== ...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>An effects-laden excuse of an adaptation\\n== ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>Hollywood's greatest shame.\\n== At first I li...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>Hollywood's greatest shame.\\n== At first I li...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Dismal, Contrived, Ripoff and just plain dumb...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>Dismal, Contrived, Ripoff and just plain dumb...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>Great storytelling, no story\\n==</td>\n",
       "      <td>SPOILERS</td>\n",
       "      <td>Before I briefly state my views, I must confes...</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>Great storytelling, no story\\n==  SPOILERS Be...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 27 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   0                                                  1                 2  \\\n",
       "0  1                  For Kids Only, Unfortunately\\n==   *SLIGHT SPOILERS   \n",
       "1  1   An effects-laden excuse of an adaptation\\n== ...              None   \n",
       "2  1   Hollywood's greatest shame.\\n== At first I li...              None   \n",
       "3  1   Dismal, Contrived, Ripoff and just plain dumb...              None   \n",
       "4  1                  Great storytelling, no story\\n==           SPOILERS   \n",
       "\n",
       "                                                   3     4     5     6     7  \\\n",
       "0  * As an adult, it didn't appeal to me in the l...  None  None  None  None   \n",
       "1                                               None  None  None  None  None   \n",
       "2                                               None  None  None  None  None   \n",
       "3                                               None  None  None  None  None   \n",
       "4  Before I briefly state my views, I must confes...              None  None   \n",
       "\n",
       "      8     9  ...    17    18    19    20    21    22    23    24    25  \\\n",
       "0  None  None  ...  None  None  None  None  None  None  None  None  None   \n",
       "1  None  None  ...  None  None  None  None  None  None  None  None  None   \n",
       "2  None  None  ...  None  None  None  None  None  None  None  None  None   \n",
       "3  None  None  ...  None  None  None  None  None  None  None  None  None   \n",
       "4  None  None  ...  None  None  None  None  None  None  None  None  None   \n",
       "\n",
       "                                              review  \n",
       "0   For Kids Only, Unfortunately\\n==  *SLIGHT SPO...  \n",
       "1   An effects-laden excuse of an adaptation\\n== ...  \n",
       "2   Hollywood's greatest shame.\\n== At first I li...  \n",
       "3   Dismal, Contrived, Ripoff and just plain dumb...  \n",
       "4   Great storytelling, no story\\n==  SPOILERS Be...  \n",
       "\n",
       "[5 rows x 27 columns]"
      ]
     },
     "execution_count": 272,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "negative_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 273,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>rating</th>\n",
       "      <th>review</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>For Kids Only, Unfortunately\\n==  *SLIGHT SPO...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>An effects-laden excuse of an adaptation\\n== ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>Hollywood's greatest shame.\\n== At first I li...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Dismal, Contrived, Ripoff and just plain dumb...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>Great storytelling, no story\\n==  SPOILERS Be...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  rating                                             review\n",
       "0      1   For Kids Only, Unfortunately\\n==  *SLIGHT SPO...\n",
       "1      1   An effects-laden excuse of an adaptation\\n== ...\n",
       "2      1   Hollywood's greatest shame.\\n== At first I li...\n",
       "3      1   Dismal, Contrived, Ripoff and just plain dumb...\n",
       "4      1   Great storytelling, no story\\n==  SPOILERS Be..."
      ]
     },
     "execution_count": 273,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "negative_df = negative_df[[0, \"review\"]]\n",
    "negative_df.columns = [\"rating\", \"review\"]\n",
    "negative_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## EDA for positive reviews and negative reviews"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 274,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(492, 2)"
      ]
     },
     "execution_count": 274,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "positive_df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 275,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(492, 2)"
      ]
     },
     "execution_count": 275,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "negative_df.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### *There is an equal number of positive and negative reviews in the data frames. Each data frame has 2 columns.*"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Using my creating_freq_list_from_df_to_dict function "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 276,
   "metadata": {},
   "outputs": [],
   "source": [
    "positive_dict = creating_freq_list_from_df_to_dict(positive_df, \"review\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 277,
   "metadata": {},
   "outputs": [],
   "source": [
    "negative_dict = creating_freq_list_from_df_to_dict(negative_df, \"review\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Positive Word Cloud"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 278,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#mask from http://clipart-library.com/clip-art/harry-potter-crest-silhouette-25.htm\n",
    "#creating an array of arrays for the mask \n",
    "positive_word_cloud = create_word_cloud_with_mask(\"sorting_hat.PNG\", positive_dict, 750, \"Positive Review Word Cloud Pre-Cleaning\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Negative Word Cloud "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 279,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#mask from http://clipart-library.com/clip-art/harry-potter-crest-silhouette-25.htm\n",
    "#creating an array of arrays for the mask \n",
    "negative_word_cloud = create_word_cloud_with_mask(\"sorting_hat.PNG\", negative_dict, 750, \"Negative Review Word Cloud Pre-Cleaning\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### The positive and negative word cloud do not help with determining the differences in the reviews. The main word in both reviews is \"the\", followed by other words that do not indicate the sentiment of the review. The reviews need to be cleaned."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 280,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>word</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>16</td>\n",
       "      <td>9779</td>\n",
       "      <td>the</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>47</td>\n",
       "      <td>4584</td>\n",
       "      <td>and</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20</td>\n",
       "      <td>3880</td>\n",
       "      <td>of</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>35</td>\n",
       "      <td>3554</td>\n",
       "      <td>to</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8</td>\n",
       "      <td>3078</td>\n",
       "      <td>a</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>85</td>\n",
       "      <td>2598</td>\n",
       "      <td>is</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15</td>\n",
       "      <td>2229</td>\n",
       "      <td>in</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>502</td>\n",
       "      <td>1890</td>\n",
       "      <td>I</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12</td>\n",
       "      <td>1762</td>\n",
       "      <td>that</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>231</td>\n",
       "      <td>1444</td>\n",
       "      <td>it</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>25</td>\n",
       "      <td>1415</td>\n",
       "      <td>was</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>99</td>\n",
       "      <td>1312</td>\n",
       "      <td>as</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     count  word\n",
       "16    9779   the\n",
       "47    4584   and\n",
       "20    3880    of\n",
       "35    3554    to\n",
       "8     3078     a\n",
       "85    2598    is\n",
       "15    2229    in\n",
       "502   1890     I\n",
       "12    1762  that\n",
       "231   1444    it\n",
       "25    1415   was\n",
       "99    1312    as"
      ]
     },
     "execution_count": 280,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Visualizing the top 12 words/characters\n",
    "eda_reviews_top_words_pos = word_freq_dict_to_df_top_words(positive_dict, 12)\n",
    "eda_reviews_top_words_pos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 281,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>word</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>17</td>\n",
       "      <td>9801</td>\n",
       "      <td>the</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>131</td>\n",
       "      <td>3925</td>\n",
       "      <td>and</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>29</td>\n",
       "      <td>3766</td>\n",
       "      <td>of</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14</td>\n",
       "      <td>3667</td>\n",
       "      <td>to</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>56</td>\n",
       "      <td>2907</td>\n",
       "      <td>a</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>35</td>\n",
       "      <td>2375</td>\n",
       "      <td>I</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16</td>\n",
       "      <td>2161</td>\n",
       "      <td>in</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>75</td>\n",
       "      <td>2118</td>\n",
       "      <td>is</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>103</td>\n",
       "      <td>2064</td>\n",
       "      <td>was</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>89</td>\n",
       "      <td>1955</td>\n",
       "      <td>that</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>107</td>\n",
       "      <td>1411</td>\n",
       "      <td>this</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11</td>\n",
       "      <td>1389</td>\n",
       "      <td>it</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     count  word\n",
       "17    9801   the\n",
       "131   3925   and\n",
       "29    3766    of\n",
       "14    3667    to\n",
       "56    2907     a\n",
       "35    2375     I\n",
       "16    2161    in\n",
       "75    2118    is\n",
       "103   2064   was\n",
       "89    1955  that\n",
       "107   1411  this\n",
       "11    1389    it"
      ]
     },
     "execution_count": 281,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Visualizing the top 12 words/characters\n",
    "eda_reviews_top_words_neg = word_freq_dict_to_df_top_words(negative_dict, 12)\n",
    "eda_reviews_top_words_neg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 282,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "positive_bar_plot = top_words_bar_plot(eda_reviews_top_words_pos, \"Top 12 Positive Words Prior to Cleaning\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 283,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "negative_bar_plot = top_words_bar_plot(eda_reviews_top_words_neg, \"Top 12 Negative Words Prior to Cleaning\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 284,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "***** Positive *****\n",
      "The total number of words is 152434\n",
      "The total number of unique words is 17977\n",
      "***** Negative *****\n",
      "The total number of words is 154643\n",
      "The total number of unique words is 19158\n"
     ]
    }
   ],
   "source": [
    "print(\"***** Positive *****\")\n",
    "total_words_unique_words(positive_dict)\n",
    "print(\"***** Negative *****\")\n",
    "total_words_unique_words(negative_dict)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### As part of the cleansing of the reviews, I am going to turn everything into lowercase, however, I do not want to lose the emphasis of words written in ALL CAPS. Therefore, I created a function, that will duplicate every word in the review that is in all caps. I think that it is fair, to count words in all caps as double."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 285,
   "metadata": {},
   "outputs": [],
   "source": [
    "positive_df[\"new_review\"] = positive_df.apply(lambda row: duplicate_all_cap_words(row[\"review\"]), axis = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 286,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>rating</th>\n",
       "      <th>review</th>\n",
       "      <th>new_review</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>The Magic Comes To Life!\\n== Once upon a time...</td>\n",
       "      <td>The Magic Comes To Life!\\n== Once upon a tim...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>Pure Magic\\n== This movie is a delight for th...</td>\n",
       "      <td>Pure Magic\\n== This movie is a delight for t...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>Enchantment, Trapdoor to Imaginary World.\\n==...</td>\n",
       "      <td>IAN  Enchantment, Trapdoor to Imaginary World...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>10</td>\n",
       "      <td>Harry Potter and the Sorcerer's Stone\\n== 10/...</td>\n",
       "      <td>Harry Potter and the Sorcerer's Stone\\n== 10...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "      <td>Great Journey to the Magic World\\n== I watch ...</td>\n",
       "      <td>Great Journey to the Magic World\\n== I watch...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5</td>\n",
       "      <td>10</td>\n",
       "      <td>The beginning of a magical journey\\n== Harry ...</td>\n",
       "      <td>The beginning of a magical journey\\n== Harry...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6</td>\n",
       "      <td>10</td>\n",
       "      <td>Very Book Accurate and Enjoyable!!\\n== Today ...</td>\n",
       "      <td>VERY LOVES  Very Book Accurate and Enjoyable!...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7</td>\n",
       "      <td>10</td>\n",
       "      <td>Great\\n== It brought out almost every potenti...</td>\n",
       "      <td>Great\\n== It brought out almost every potent...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8</td>\n",
       "      <td>10</td>\n",
       "      <td>One of my favorites\\n== The most amazing stor...</td>\n",
       "      <td>JKR  One of my favorites\\n== The most amazing...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9</td>\n",
       "      <td>10</td>\n",
       "      <td>Absolutely amazing\\n== Just amazing no words ...</td>\n",
       "      <td>Absolutely amazing\\n== Just amazing no words...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  rating                                             review  \\\n",
       "0     10   The Magic Comes To Life!\\n== Once upon a time...   \n",
       "1     10   Pure Magic\\n== This movie is a delight for th...   \n",
       "2     10   Enchantment, Trapdoor to Imaginary World.\\n==...   \n",
       "3     10   Harry Potter and the Sorcerer's Stone\\n== 10/...   \n",
       "4     10   Great Journey to the Magic World\\n== I watch ...   \n",
       "5     10   The beginning of a magical journey\\n== Harry ...   \n",
       "6     10   Very Book Accurate and Enjoyable!!\\n== Today ...   \n",
       "7     10   Great\\n== It brought out almost every potenti...   \n",
       "8     10   One of my favorites\\n== The most amazing stor...   \n",
       "9     10   Absolutely amazing\\n== Just amazing no words ...   \n",
       "\n",
       "                                          new_review  \n",
       "0    The Magic Comes To Life!\\n== Once upon a tim...  \n",
       "1    Pure Magic\\n== This movie is a delight for t...  \n",
       "2   IAN  Enchantment, Trapdoor to Imaginary World...  \n",
       "3    Harry Potter and the Sorcerer's Stone\\n== 10...  \n",
       "4    Great Journey to the Magic World\\n== I watch...  \n",
       "5    The beginning of a magical journey\\n== Harry...  \n",
       "6   VERY LOVES  Very Book Accurate and Enjoyable!...  \n",
       "7    Great\\n== It brought out almost every potent...  \n",
       "8   JKR  One of my favorites\\n== The most amazing...  \n",
       "9    Absolutely amazing\\n== Just amazing no words...  "
      ]
     },
     "execution_count": 286,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "positive_df.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 287,
   "metadata": {},
   "outputs": [],
   "source": [
    "positive_df[\"cap_count\"] = positive_df.apply(lambda row: get_count_of_all_cap_words(row[\"review\"]), axis =1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 288,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>rating</th>\n",
       "      <th>review</th>\n",
       "      <th>new_review</th>\n",
       "      <th>cap_count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>The Magic Comes To Life!\\n== Once upon a time...</td>\n",
       "      <td>The Magic Comes To Life!\\n== Once upon a tim...</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>Pure Magic\\n== This movie is a delight for th...</td>\n",
       "      <td>Pure Magic\\n== This movie is a delight for t...</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>Enchantment, Trapdoor to Imaginary World.\\n==...</td>\n",
       "      <td>IAN  Enchantment, Trapdoor to Imaginary World...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>10</td>\n",
       "      <td>Harry Potter and the Sorcerer's Stone\\n== 10/...</td>\n",
       "      <td>Harry Potter and the Sorcerer's Stone\\n== 10...</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "      <td>Great Journey to the Magic World\\n== I watch ...</td>\n",
       "      <td>Great Journey to the Magic World\\n== I watch...</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5</td>\n",
       "      <td>10</td>\n",
       "      <td>The beginning of a magical journey\\n== Harry ...</td>\n",
       "      <td>The beginning of a magical journey\\n== Harry...</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6</td>\n",
       "      <td>10</td>\n",
       "      <td>Very Book Accurate and Enjoyable!!\\n== Today ...</td>\n",
       "      <td>VERY LOVES  Very Book Accurate and Enjoyable!...</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7</td>\n",
       "      <td>10</td>\n",
       "      <td>Great\\n== It brought out almost every potenti...</td>\n",
       "      <td>Great\\n== It brought out almost every potent...</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8</td>\n",
       "      <td>10</td>\n",
       "      <td>One of my favorites\\n== The most amazing stor...</td>\n",
       "      <td>JKR  One of my favorites\\n== The most amazing...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9</td>\n",
       "      <td>10</td>\n",
       "      <td>Absolutely amazing\\n== Just amazing no words ...</td>\n",
       "      <td>Absolutely amazing\\n== Just amazing no words...</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  rating                                             review  \\\n",
       "0     10   The Magic Comes To Life!\\n== Once upon a time...   \n",
       "1     10   Pure Magic\\n== This movie is a delight for th...   \n",
       "2     10   Enchantment, Trapdoor to Imaginary World.\\n==...   \n",
       "3     10   Harry Potter and the Sorcerer's Stone\\n== 10/...   \n",
       "4     10   Great Journey to the Magic World\\n== I watch ...   \n",
       "5     10   The beginning of a magical journey\\n== Harry ...   \n",
       "6     10   Very Book Accurate and Enjoyable!!\\n== Today ...   \n",
       "7     10   Great\\n== It brought out almost every potenti...   \n",
       "8     10   One of my favorites\\n== The most amazing stor...   \n",
       "9     10   Absolutely amazing\\n== Just amazing no words ...   \n",
       "\n",
       "                                          new_review  cap_count  \n",
       "0    The Magic Comes To Life!\\n== Once upon a tim...          0  \n",
       "1    Pure Magic\\n== This movie is a delight for t...          0  \n",
       "2   IAN  Enchantment, Trapdoor to Imaginary World...          1  \n",
       "3    Harry Potter and the Sorcerer's Stone\\n== 10...          0  \n",
       "4    Great Journey to the Magic World\\n== I watch...          0  \n",
       "5    The beginning of a magical journey\\n== Harry...          0  \n",
       "6   VERY LOVES  Very Book Accurate and Enjoyable!...          2  \n",
       "7    Great\\n== It brought out almost every potent...          0  \n",
       "8   JKR  One of my favorites\\n== The most amazing...          1  \n",
       "9    Absolutely amazing\\n== Just amazing no words...          0  "
      ]
     },
     "execution_count": 288,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "positive_df.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 289,
   "metadata": {},
   "outputs": [],
   "source": [
    "positive_df[\"all_words_count\"] = positive_df.apply(lambda row: get_count_of_all_words(row[\"review\"]), axis = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 290,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>rating</th>\n",
       "      <th>review</th>\n",
       "      <th>new_review</th>\n",
       "      <th>cap_count</th>\n",
       "      <th>all_words_count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>The Magic Comes To Life!\\n== Once upon a time...</td>\n",
       "      <td>The Magic Comes To Life!\\n== Once upon a tim...</td>\n",
       "      <td>0</td>\n",
       "      <td>954</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>Pure Magic\\n== This movie is a delight for th...</td>\n",
       "      <td>Pure Magic\\n== This movie is a delight for t...</td>\n",
       "      <td>0</td>\n",
       "      <td>98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>Enchantment, Trapdoor to Imaginary World.\\n==...</td>\n",
       "      <td>IAN  Enchantment, Trapdoor to Imaginary World...</td>\n",
       "      <td>1</td>\n",
       "      <td>446</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>10</td>\n",
       "      <td>Harry Potter and the Sorcerer's Stone\\n== 10/...</td>\n",
       "      <td>Harry Potter and the Sorcerer's Stone\\n== 10...</td>\n",
       "      <td>0</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "      <td>Great Journey to the Magic World\\n== I watch ...</td>\n",
       "      <td>Great Journey to the Magic World\\n== I watch...</td>\n",
       "      <td>0</td>\n",
       "      <td>76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5</td>\n",
       "      <td>10</td>\n",
       "      <td>The beginning of a magical journey\\n== Harry ...</td>\n",
       "      <td>The beginning of a magical journey\\n== Harry...</td>\n",
       "      <td>0</td>\n",
       "      <td>582</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6</td>\n",
       "      <td>10</td>\n",
       "      <td>Very Book Accurate and Enjoyable!!\\n== Today ...</td>\n",
       "      <td>VERY LOVES  Very Book Accurate and Enjoyable!...</td>\n",
       "      <td>2</td>\n",
       "      <td>97</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7</td>\n",
       "      <td>10</td>\n",
       "      <td>Great\\n== It brought out almost every potenti...</td>\n",
       "      <td>Great\\n== It brought out almost every potent...</td>\n",
       "      <td>0</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8</td>\n",
       "      <td>10</td>\n",
       "      <td>One of my favorites\\n== The most amazing stor...</td>\n",
       "      <td>JKR  One of my favorites\\n== The most amazing...</td>\n",
       "      <td>1</td>\n",
       "      <td>67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9</td>\n",
       "      <td>10</td>\n",
       "      <td>Absolutely amazing\\n== Just amazing no words ...</td>\n",
       "      <td>Absolutely amazing\\n== Just amazing no words...</td>\n",
       "      <td>0</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  rating                                             review  \\\n",
       "0     10   The Magic Comes To Life!\\n== Once upon a time...   \n",
       "1     10   Pure Magic\\n== This movie is a delight for th...   \n",
       "2     10   Enchantment, Trapdoor to Imaginary World.\\n==...   \n",
       "3     10   Harry Potter and the Sorcerer's Stone\\n== 10/...   \n",
       "4     10   Great Journey to the Magic World\\n== I watch ...   \n",
       "5     10   The beginning of a magical journey\\n== Harry ...   \n",
       "6     10   Very Book Accurate and Enjoyable!!\\n== Today ...   \n",
       "7     10   Great\\n== It brought out almost every potenti...   \n",
       "8     10   One of my favorites\\n== The most amazing stor...   \n",
       "9     10   Absolutely amazing\\n== Just amazing no words ...   \n",
       "\n",
       "                                          new_review  cap_count  \\\n",
       "0    The Magic Comes To Life!\\n== Once upon a tim...          0   \n",
       "1    Pure Magic\\n== This movie is a delight for t...          0   \n",
       "2   IAN  Enchantment, Trapdoor to Imaginary World...          1   \n",
       "3    Harry Potter and the Sorcerer's Stone\\n== 10...          0   \n",
       "4    Great Journey to the Magic World\\n== I watch...          0   \n",
       "5    The beginning of a magical journey\\n== Harry...          0   \n",
       "6   VERY LOVES  Very Book Accurate and Enjoyable!...          2   \n",
       "7    Great\\n== It brought out almost every potent...          0   \n",
       "8   JKR  One of my favorites\\n== The most amazing...          1   \n",
       "9    Absolutely amazing\\n== Just amazing no words...          0   \n",
       "\n",
       "   all_words_count  \n",
       "0              954  \n",
       "1               98  \n",
       "2              446  \n",
       "3               25  \n",
       "4               76  \n",
       "5              582  \n",
       "6               97  \n",
       "7               14  \n",
       "8               67  \n",
       "9               13  "
      ]
     },
     "execution_count": 290,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "positive_df.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 291,
   "metadata": {},
   "outputs": [],
   "source": [
    "positive_df[\"percent_cap\"] = positive_df[\"cap_count\"]/positive_df[\"all_words_count\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 292,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>rating</th>\n",
       "      <th>review</th>\n",
       "      <th>new_review</th>\n",
       "      <th>cap_count</th>\n",
       "      <th>all_words_count</th>\n",
       "      <th>percent_cap</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>The Magic Comes To Life!\\n== Once upon a time...</td>\n",
       "      <td>The Magic Comes To Life!\\n== Once upon a tim...</td>\n",
       "      <td>0</td>\n",
       "      <td>954</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>Pure Magic\\n== This movie is a delight for th...</td>\n",
       "      <td>Pure Magic\\n== This movie is a delight for t...</td>\n",
       "      <td>0</td>\n",
       "      <td>98</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>Enchantment, Trapdoor to Imaginary World.\\n==...</td>\n",
       "      <td>IAN  Enchantment, Trapdoor to Imaginary World...</td>\n",
       "      <td>1</td>\n",
       "      <td>446</td>\n",
       "      <td>0.002242</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>10</td>\n",
       "      <td>Harry Potter and the Sorcerer's Stone\\n== 10/...</td>\n",
       "      <td>Harry Potter and the Sorcerer's Stone\\n== 10...</td>\n",
       "      <td>0</td>\n",
       "      <td>25</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "      <td>Great Journey to the Magic World\\n== I watch ...</td>\n",
       "      <td>Great Journey to the Magic World\\n== I watch...</td>\n",
       "      <td>0</td>\n",
       "      <td>76</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5</td>\n",
       "      <td>10</td>\n",
       "      <td>The beginning of a magical journey\\n== Harry ...</td>\n",
       "      <td>The beginning of a magical journey\\n== Harry...</td>\n",
       "      <td>0</td>\n",
       "      <td>582</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6</td>\n",
       "      <td>10</td>\n",
       "      <td>Very Book Accurate and Enjoyable!!\\n== Today ...</td>\n",
       "      <td>VERY LOVES  Very Book Accurate and Enjoyable!...</td>\n",
       "      <td>2</td>\n",
       "      <td>97</td>\n",
       "      <td>0.020619</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7</td>\n",
       "      <td>10</td>\n",
       "      <td>Great\\n== It brought out almost every potenti...</td>\n",
       "      <td>Great\\n== It brought out almost every potent...</td>\n",
       "      <td>0</td>\n",
       "      <td>14</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8</td>\n",
       "      <td>10</td>\n",
       "      <td>One of my favorites\\n== The most amazing stor...</td>\n",
       "      <td>JKR  One of my favorites\\n== The most amazing...</td>\n",
       "      <td>1</td>\n",
       "      <td>67</td>\n",
       "      <td>0.014925</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9</td>\n",
       "      <td>10</td>\n",
       "      <td>Absolutely amazing\\n== Just amazing no words ...</td>\n",
       "      <td>Absolutely amazing\\n== Just amazing no words...</td>\n",
       "      <td>0</td>\n",
       "      <td>13</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  rating                                             review  \\\n",
       "0     10   The Magic Comes To Life!\\n== Once upon a time...   \n",
       "1     10   Pure Magic\\n== This movie is a delight for th...   \n",
       "2     10   Enchantment, Trapdoor to Imaginary World.\\n==...   \n",
       "3     10   Harry Potter and the Sorcerer's Stone\\n== 10/...   \n",
       "4     10   Great Journey to the Magic World\\n== I watch ...   \n",
       "5     10   The beginning of a magical journey\\n== Harry ...   \n",
       "6     10   Very Book Accurate and Enjoyable!!\\n== Today ...   \n",
       "7     10   Great\\n== It brought out almost every potenti...   \n",
       "8     10   One of my favorites\\n== The most amazing stor...   \n",
       "9     10   Absolutely amazing\\n== Just amazing no words ...   \n",
       "\n",
       "                                          new_review  cap_count  \\\n",
       "0    The Magic Comes To Life!\\n== Once upon a tim...          0   \n",
       "1    Pure Magic\\n== This movie is a delight for t...          0   \n",
       "2   IAN  Enchantment, Trapdoor to Imaginary World...          1   \n",
       "3    Harry Potter and the Sorcerer's Stone\\n== 10...          0   \n",
       "4    Great Journey to the Magic World\\n== I watch...          0   \n",
       "5    The beginning of a magical journey\\n== Harry...          0   \n",
       "6   VERY LOVES  Very Book Accurate and Enjoyable!...          2   \n",
       "7    Great\\n== It brought out almost every potent...          0   \n",
       "8   JKR  One of my favorites\\n== The most amazing...          1   \n",
       "9    Absolutely amazing\\n== Just amazing no words...          0   \n",
       "\n",
       "   all_words_count  percent_cap  \n",
       "0              954     0.000000  \n",
       "1               98     0.000000  \n",
       "2              446     0.002242  \n",
       "3               25     0.000000  \n",
       "4               76     0.000000  \n",
       "5              582     0.000000  \n",
       "6               97     0.020619  \n",
       "7               14     0.000000  \n",
       "8               67     0.014925  \n",
       "9               13     0.000000  "
      ]
     },
     "execution_count": 292,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "positive_df.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 293,
   "metadata": {},
   "outputs": [],
   "source": [
    "positive_df.drop([\"cap_count\", \"all_words_count\"], axis = 1, inplace = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 294,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>rating</th>\n",
       "      <th>review</th>\n",
       "      <th>new_review</th>\n",
       "      <th>percent_cap</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>The Magic Comes To Life!\\n== Once upon a time...</td>\n",
       "      <td>The Magic Comes To Life!\\n== Once upon a tim...</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>Pure Magic\\n== This movie is a delight for th...</td>\n",
       "      <td>Pure Magic\\n== This movie is a delight for t...</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>Enchantment, Trapdoor to Imaginary World.\\n==...</td>\n",
       "      <td>IAN  Enchantment, Trapdoor to Imaginary World...</td>\n",
       "      <td>0.002242</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>10</td>\n",
       "      <td>Harry Potter and the Sorcerer's Stone\\n== 10/...</td>\n",
       "      <td>Harry Potter and the Sorcerer's Stone\\n== 10...</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "      <td>Great Journey to the Magic World\\n== I watch ...</td>\n",
       "      <td>Great Journey to the Magic World\\n== I watch...</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  rating                                             review  \\\n",
       "0     10   The Magic Comes To Life!\\n== Once upon a time...   \n",
       "1     10   Pure Magic\\n== This movie is a delight for th...   \n",
       "2     10   Enchantment, Trapdoor to Imaginary World.\\n==...   \n",
       "3     10   Harry Potter and the Sorcerer's Stone\\n== 10/...   \n",
       "4     10   Great Journey to the Magic World\\n== I watch ...   \n",
       "\n",
       "                                          new_review  percent_cap  \n",
       "0    The Magic Comes To Life!\\n== Once upon a tim...     0.000000  \n",
       "1    Pure Magic\\n== This movie is a delight for t...     0.000000  \n",
       "2   IAN  Enchantment, Trapdoor to Imaginary World...     0.002242  \n",
       "3    Harry Potter and the Sorcerer's Stone\\n== 10...     0.000000  \n",
       "4    Great Journey to the Magic World\\n== I watch...     0.000000  "
      ]
     },
     "execution_count": 294,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "positive_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 295,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>rating</th>\n",
       "      <th>review</th>\n",
       "      <th>new_review</th>\n",
       "      <th>percent_cap</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>482</td>\n",
       "      <td>9</td>\n",
       "      <td>Review - Harry Potter and the Deathly Hallows...</td>\n",
       "      <td>Review - Harry Potter and the Deathly Hallow...</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>483</td>\n",
       "      <td>9</td>\n",
       "      <td>It's Official... Epic Movie, Epic Saga and Ep...</td>\n",
       "      <td>It's Official... Epic Movie, Epic Saga and E...</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>484</td>\n",
       "      <td>9</td>\n",
       "      <td>sadly disappointing\\n== I have now been to se...</td>\n",
       "      <td>sadly disappointing\\n== I have now been to s...</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>485</td>\n",
       "      <td>9</td>\n",
       "      <td>The end is good..\\n== Yesterday i went to a p...</td>\n",
       "      <td>The end is good..\\n== Yesterday i went to a ...</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>486</td>\n",
       "      <td>9</td>\n",
       "      <td>They finally got it right!\\n== While never an...</td>\n",
       "      <td>THIS HP7 THE  They finally got it right!\\n== ...</td>\n",
       "      <td>0.007353</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>487</td>\n",
       "      <td>9</td>\n",
       "      <td>I'm Sorry, Hermoine and Ron Who?\\n== The one ...</td>\n",
       "      <td>I'm Sorry, Hermoine and Ron Who?\\n== The one...</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>488</td>\n",
       "      <td>9</td>\n",
       "      <td>A fantastic ending\\n== This movie was the per...</td>\n",
       "      <td>A fantastic ending\\n== This movie was the pe...</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>489</td>\n",
       "      <td>9</td>\n",
       "      <td>LEGENDARY!\\n== Best cinematic universe out th...</td>\n",
       "      <td>LEGENDARY  LEGENDARY!\\n== Best cinematic univ...</td>\n",
       "      <td>0.111111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>490</td>\n",
       "      <td>9</td>\n",
       "      <td>Good but ending changed for worse\\n== I was r...</td>\n",
       "      <td>Good but ending changed for worse\\n== I was ...</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>491</td>\n",
       "      <td>9</td>\n",
       "      <td>Great conclusion, of fantastic story\\n== i wa...</td>\n",
       "      <td>AWESOME  Great conclusion, of fantastic story...</td>\n",
       "      <td>0.006135</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    rating                                             review  \\\n",
       "482      9   Review - Harry Potter and the Deathly Hallows...   \n",
       "483      9   It's Official... Epic Movie, Epic Saga and Ep...   \n",
       "484      9   sadly disappointing\\n== I have now been to se...   \n",
       "485      9   The end is good..\\n== Yesterday i went to a p...   \n",
       "486      9   They finally got it right!\\n== While never an...   \n",
       "487      9   I'm Sorry, Hermoine and Ron Who?\\n== The one ...   \n",
       "488      9   A fantastic ending\\n== This movie was the per...   \n",
       "489      9   LEGENDARY!\\n== Best cinematic universe out th...   \n",
       "490      9   Good but ending changed for worse\\n== I was r...   \n",
       "491      9   Great conclusion, of fantastic story\\n== i wa...   \n",
       "\n",
       "                                            new_review  percent_cap  \n",
       "482    Review - Harry Potter and the Deathly Hallow...     0.000000  \n",
       "483    It's Official... Epic Movie, Epic Saga and E...     0.000000  \n",
       "484    sadly disappointing\\n== I have now been to s...     0.000000  \n",
       "485    The end is good..\\n== Yesterday i went to a ...     0.000000  \n",
       "486   THIS HP7 THE  They finally got it right!\\n== ...     0.007353  \n",
       "487    I'm Sorry, Hermoine and Ron Who?\\n== The one...     0.000000  \n",
       "488    A fantastic ending\\n== This movie was the pe...     0.000000  \n",
       "489   LEGENDARY  LEGENDARY!\\n== Best cinematic univ...     0.111111  \n",
       "490    Good but ending changed for worse\\n== I was ...     0.000000  \n",
       "491   AWESOME  Great conclusion, of fantastic story...     0.006135  "
      ]
     },
     "execution_count": 295,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "positive_df.tail(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### repeating the process for the negative reviews df "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 296,
   "metadata": {},
   "outputs": [],
   "source": [
    "negative_df[\"new_review\"] = negative_df.apply(lambda row: duplicate_all_cap_words(row[\"review\"]), axis = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 297,
   "metadata": {},
   "outputs": [],
   "source": [
    "negative_df[\"cap_count\"] = negative_df.apply(lambda row: get_count_of_all_cap_words(row[\"review\"]), axis =1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 298,
   "metadata": {},
   "outputs": [],
   "source": [
    "negative_df[\"all_words_count\"] = negative_df.apply(lambda row: get_count_of_all_words(row[\"review\"]), axis = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 299,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>rating</th>\n",
       "      <th>review</th>\n",
       "      <th>new_review</th>\n",
       "      <th>cap_count</th>\n",
       "      <th>all_words_count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>For Kids Only, Unfortunately\\n==  *SLIGHT SPO...</td>\n",
       "      <td>SLIGHT SPOILERS  For Kids Only, Unfortunately...</td>\n",
       "      <td>2</td>\n",
       "      <td>185</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>An effects-laden excuse of an adaptation\\n== ...</td>\n",
       "      <td>An effects-laden excuse of an adaptation\\n==...</td>\n",
       "      <td>0</td>\n",
       "      <td>170</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>Hollywood's greatest shame.\\n== At first I li...</td>\n",
       "      <td>WOW HAD RINGWRAITHS ENTZ SHELOB YEAH  Hollywo...</td>\n",
       "      <td>6</td>\n",
       "      <td>589</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Dismal, Contrived, Ripoff and just plain dumb...</td>\n",
       "      <td>JRR  Dismal, Contrived, Ripoff and just plain...</td>\n",
       "      <td>1</td>\n",
       "      <td>168</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>Great storytelling, no story\\n==  SPOILERS Be...</td>\n",
       "      <td>SPOILERS LOT  Great storytelling, no story\\n=...</td>\n",
       "      <td>2</td>\n",
       "      <td>600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>It's bland like drinking warm water\\n== Warni...</td>\n",
       "      <td>It's bland like drinking warm water\\n== Warn...</td>\n",
       "      <td>0</td>\n",
       "      <td>366</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>Harry Potter and the Chamber of Commerce\\n== ...</td>\n",
       "      <td>Harry Potter and the Chamber of Commerce\\n==...</td>\n",
       "      <td>0</td>\n",
       "      <td>305</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>its not worth the piece of paper the ticket w...</td>\n",
       "      <td>its not worth the piece of paper the ticket ...</td>\n",
       "      <td>0</td>\n",
       "      <td>123</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>My Revenge for the Non Fans!!\\n== Harry Potte...</td>\n",
       "      <td>AOL  My Revenge for the Non Fans!!\\n== Harry ...</td>\n",
       "      <td>1</td>\n",
       "      <td>349</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9</td>\n",
       "      <td>1</td>\n",
       "      <td>Terrible Terrible film\\n== How on earth did t...</td>\n",
       "      <td>Terrible Terrible film\\n== How on earth did ...</td>\n",
       "      <td>0</td>\n",
       "      <td>321</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  rating                                             review  \\\n",
       "0      1   For Kids Only, Unfortunately\\n==  *SLIGHT SPO...   \n",
       "1      1   An effects-laden excuse of an adaptation\\n== ...   \n",
       "2      1   Hollywood's greatest shame.\\n== At first I li...   \n",
       "3      1   Dismal, Contrived, Ripoff and just plain dumb...   \n",
       "4      1   Great storytelling, no story\\n==  SPOILERS Be...   \n",
       "5      1   It's bland like drinking warm water\\n== Warni...   \n",
       "6      1   Harry Potter and the Chamber of Commerce\\n== ...   \n",
       "7      1   its not worth the piece of paper the ticket w...   \n",
       "8      1   My Revenge for the Non Fans!!\\n== Harry Potte...   \n",
       "9      1   Terrible Terrible film\\n== How on earth did t...   \n",
       "\n",
       "                                          new_review  cap_count  \\\n",
       "0   SLIGHT SPOILERS  For Kids Only, Unfortunately...          2   \n",
       "1    An effects-laden excuse of an adaptation\\n==...          0   \n",
       "2   WOW HAD RINGWRAITHS ENTZ SHELOB YEAH  Hollywo...          6   \n",
       "3   JRR  Dismal, Contrived, Ripoff and just plain...          1   \n",
       "4   SPOILERS LOT  Great storytelling, no story\\n=...          2   \n",
       "5    It's bland like drinking warm water\\n== Warn...          0   \n",
       "6    Harry Potter and the Chamber of Commerce\\n==...          0   \n",
       "7    its not worth the piece of paper the ticket ...          0   \n",
       "8   AOL  My Revenge for the Non Fans!!\\n== Harry ...          1   \n",
       "9    Terrible Terrible film\\n== How on earth did ...          0   \n",
       "\n",
       "   all_words_count  \n",
       "0              185  \n",
       "1              170  \n",
       "2              589  \n",
       "3              168  \n",
       "4              600  \n",
       "5              366  \n",
       "6              305  \n",
       "7              123  \n",
       "8              349  \n",
       "9              321  "
      ]
     },
     "execution_count": 299,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "negative_df.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 300,
   "metadata": {},
   "outputs": [],
   "source": [
    "negative_df[\"percent_cap\"] = negative_df[\"cap_count\"]/negative_df[\"all_words_count\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 301,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>rating</th>\n",
       "      <th>review</th>\n",
       "      <th>new_review</th>\n",
       "      <th>cap_count</th>\n",
       "      <th>all_words_count</th>\n",
       "      <th>percent_cap</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>For Kids Only, Unfortunately\\n==  *SLIGHT SPO...</td>\n",
       "      <td>SLIGHT SPOILERS  For Kids Only, Unfortunately...</td>\n",
       "      <td>2</td>\n",
       "      <td>185</td>\n",
       "      <td>0.010811</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>An effects-laden excuse of an adaptation\\n== ...</td>\n",
       "      <td>An effects-laden excuse of an adaptation\\n==...</td>\n",
       "      <td>0</td>\n",
       "      <td>170</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>Hollywood's greatest shame.\\n== At first I li...</td>\n",
       "      <td>WOW HAD RINGWRAITHS ENTZ SHELOB YEAH  Hollywo...</td>\n",
       "      <td>6</td>\n",
       "      <td>589</td>\n",
       "      <td>0.010187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Dismal, Contrived, Ripoff and just plain dumb...</td>\n",
       "      <td>JRR  Dismal, Contrived, Ripoff and just plain...</td>\n",
       "      <td>1</td>\n",
       "      <td>168</td>\n",
       "      <td>0.005952</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>Great storytelling, no story\\n==  SPOILERS Be...</td>\n",
       "      <td>SPOILERS LOT  Great storytelling, no story\\n=...</td>\n",
       "      <td>2</td>\n",
       "      <td>600</td>\n",
       "      <td>0.003333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>It's bland like drinking warm water\\n== Warni...</td>\n",
       "      <td>It's bland like drinking warm water\\n== Warn...</td>\n",
       "      <td>0</td>\n",
       "      <td>366</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>Harry Potter and the Chamber of Commerce\\n== ...</td>\n",
       "      <td>Harry Potter and the Chamber of Commerce\\n==...</td>\n",
       "      <td>0</td>\n",
       "      <td>305</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>its not worth the piece of paper the ticket w...</td>\n",
       "      <td>its not worth the piece of paper the ticket ...</td>\n",
       "      <td>0</td>\n",
       "      <td>123</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>My Revenge for the Non Fans!!\\n== Harry Potte...</td>\n",
       "      <td>AOL  My Revenge for the Non Fans!!\\n== Harry ...</td>\n",
       "      <td>1</td>\n",
       "      <td>349</td>\n",
       "      <td>0.002865</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9</td>\n",
       "      <td>1</td>\n",
       "      <td>Terrible Terrible film\\n== How on earth did t...</td>\n",
       "      <td>Terrible Terrible film\\n== How on earth did ...</td>\n",
       "      <td>0</td>\n",
       "      <td>321</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  rating                                             review  \\\n",
       "0      1   For Kids Only, Unfortunately\\n==  *SLIGHT SPO...   \n",
       "1      1   An effects-laden excuse of an adaptation\\n== ...   \n",
       "2      1   Hollywood's greatest shame.\\n== At first I li...   \n",
       "3      1   Dismal, Contrived, Ripoff and just plain dumb...   \n",
       "4      1   Great storytelling, no story\\n==  SPOILERS Be...   \n",
       "5      1   It's bland like drinking warm water\\n== Warni...   \n",
       "6      1   Harry Potter and the Chamber of Commerce\\n== ...   \n",
       "7      1   its not worth the piece of paper the ticket w...   \n",
       "8      1   My Revenge for the Non Fans!!\\n== Harry Potte...   \n",
       "9      1   Terrible Terrible film\\n== How on earth did t...   \n",
       "\n",
       "                                          new_review  cap_count  \\\n",
       "0   SLIGHT SPOILERS  For Kids Only, Unfortunately...          2   \n",
       "1    An effects-laden excuse of an adaptation\\n==...          0   \n",
       "2   WOW HAD RINGWRAITHS ENTZ SHELOB YEAH  Hollywo...          6   \n",
       "3   JRR  Dismal, Contrived, Ripoff and just plain...          1   \n",
       "4   SPOILERS LOT  Great storytelling, no story\\n=...          2   \n",
       "5    It's bland like drinking warm water\\n== Warn...          0   \n",
       "6    Harry Potter and the Chamber of Commerce\\n==...          0   \n",
       "7    its not worth the piece of paper the ticket ...          0   \n",
       "8   AOL  My Revenge for the Non Fans!!\\n== Harry ...          1   \n",
       "9    Terrible Terrible film\\n== How on earth did ...          0   \n",
       "\n",
       "   all_words_count  percent_cap  \n",
       "0              185     0.010811  \n",
       "1              170     0.000000  \n",
       "2              589     0.010187  \n",
       "3              168     0.005952  \n",
       "4              600     0.003333  \n",
       "5              366     0.000000  \n",
       "6              305     0.000000  \n",
       "7              123     0.000000  \n",
       "8              349     0.002865  \n",
       "9              321     0.000000  "
      ]
     },
     "execution_count": 301,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "negative_df.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 302,
   "metadata": {},
   "outputs": [],
   "source": [
    "negative_df.drop([\"cap_count\", \"all_words_count\"], axis = 1, inplace = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 303,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>rating</th>\n",
       "      <th>review</th>\n",
       "      <th>new_review</th>\n",
       "      <th>percent_cap</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>For Kids Only, Unfortunately\\n==  *SLIGHT SPO...</td>\n",
       "      <td>SLIGHT SPOILERS  For Kids Only, Unfortunately...</td>\n",
       "      <td>0.010811</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>An effects-laden excuse of an adaptation\\n== ...</td>\n",
       "      <td>An effects-laden excuse of an adaptation\\n==...</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>Hollywood's greatest shame.\\n== At first I li...</td>\n",
       "      <td>WOW HAD RINGWRAITHS ENTZ SHELOB YEAH  Hollywo...</td>\n",
       "      <td>0.010187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Dismal, Contrived, Ripoff and just plain dumb...</td>\n",
       "      <td>JRR  Dismal, Contrived, Ripoff and just plain...</td>\n",
       "      <td>0.005952</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>Great storytelling, no story\\n==  SPOILERS Be...</td>\n",
       "      <td>SPOILERS LOT  Great storytelling, no story\\n=...</td>\n",
       "      <td>0.003333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>It's bland like drinking warm water\\n== Warni...</td>\n",
       "      <td>It's bland like drinking warm water\\n== Warn...</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>Harry Potter and the Chamber of Commerce\\n== ...</td>\n",
       "      <td>Harry Potter and the Chamber of Commerce\\n==...</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>its not worth the piece of paper the ticket w...</td>\n",
       "      <td>its not worth the piece of paper the ticket ...</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>My Revenge for the Non Fans!!\\n== Harry Potte...</td>\n",
       "      <td>AOL  My Revenge for the Non Fans!!\\n== Harry ...</td>\n",
       "      <td>0.002865</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9</td>\n",
       "      <td>1</td>\n",
       "      <td>Terrible Terrible film\\n== How on earth did t...</td>\n",
       "      <td>Terrible Terrible film\\n== How on earth did ...</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  rating                                             review  \\\n",
       "0      1   For Kids Only, Unfortunately\\n==  *SLIGHT SPO...   \n",
       "1      1   An effects-laden excuse of an adaptation\\n== ...   \n",
       "2      1   Hollywood's greatest shame.\\n== At first I li...   \n",
       "3      1   Dismal, Contrived, Ripoff and just plain dumb...   \n",
       "4      1   Great storytelling, no story\\n==  SPOILERS Be...   \n",
       "5      1   It's bland like drinking warm water\\n== Warni...   \n",
       "6      1   Harry Potter and the Chamber of Commerce\\n== ...   \n",
       "7      1   its not worth the piece of paper the ticket w...   \n",
       "8      1   My Revenge for the Non Fans!!\\n== Harry Potte...   \n",
       "9      1   Terrible Terrible film\\n== How on earth did t...   \n",
       "\n",
       "                                          new_review  percent_cap  \n",
       "0   SLIGHT SPOILERS  For Kids Only, Unfortunately...     0.010811  \n",
       "1    An effects-laden excuse of an adaptation\\n==...     0.000000  \n",
       "2   WOW HAD RINGWRAITHS ENTZ SHELOB YEAH  Hollywo...     0.010187  \n",
       "3   JRR  Dismal, Contrived, Ripoff and just plain...     0.005952  \n",
       "4   SPOILERS LOT  Great storytelling, no story\\n=...     0.003333  \n",
       "5    It's bland like drinking warm water\\n== Warn...     0.000000  \n",
       "6    Harry Potter and the Chamber of Commerce\\n==...     0.000000  \n",
       "7    its not worth the piece of paper the ticket ...     0.000000  \n",
       "8   AOL  My Revenge for the Non Fans!!\\n== Harry ...     0.002865  \n",
       "9    Terrible Terrible film\\n== How on earth did ...     0.000000  "
      ]
     },
     "execution_count": 303,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "negative_df.head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### You can see that some of the reviews contain words in all caps. Unfortunately not all of the words give insight to the sentiment of the review. For example, in review 508 the reviewer capitalized the works THIS HP7 and THE, none of which give added insight into the words. It might be interesting to get a count of the number of words that were in all caps for each review. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Making everything lowercase"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 304,
   "metadata": {},
   "outputs": [],
   "source": [
    "positive_df[\"new_review\"] = positive_df[\"new_review\"].str.lower()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 305,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>rating</th>\n",
       "      <th>review</th>\n",
       "      <th>new_review</th>\n",
       "      <th>percent_cap</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>The Magic Comes To Life!\\n== Once upon a time...</td>\n",
       "      <td>the magic comes to life!\\n== once upon a tim...</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>Pure Magic\\n== This movie is a delight for th...</td>\n",
       "      <td>pure magic\\n== this movie is a delight for t...</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>Enchantment, Trapdoor to Imaginary World.\\n==...</td>\n",
       "      <td>ian  enchantment, trapdoor to imaginary world...</td>\n",
       "      <td>0.002242</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>10</td>\n",
       "      <td>Harry Potter and the Sorcerer's Stone\\n== 10/...</td>\n",
       "      <td>harry potter and the sorcerer's stone\\n== 10...</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "      <td>Great Journey to the Magic World\\n== I watch ...</td>\n",
       "      <td>great journey to the magic world\\n== i watch...</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5</td>\n",
       "      <td>10</td>\n",
       "      <td>The beginning of a magical journey\\n== Harry ...</td>\n",
       "      <td>the beginning of a magical journey\\n== harry...</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6</td>\n",
       "      <td>10</td>\n",
       "      <td>Very Book Accurate and Enjoyable!!\\n== Today ...</td>\n",
       "      <td>very loves  very book accurate and enjoyable!...</td>\n",
       "      <td>0.020619</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7</td>\n",
       "      <td>10</td>\n",
       "      <td>Great\\n== It brought out almost every potenti...</td>\n",
       "      <td>great\\n== it brought out almost every potent...</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8</td>\n",
       "      <td>10</td>\n",
       "      <td>One of my favorites\\n== The most amazing stor...</td>\n",
       "      <td>jkr  one of my favorites\\n== the most amazing...</td>\n",
       "      <td>0.014925</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9</td>\n",
       "      <td>10</td>\n",
       "      <td>Absolutely amazing\\n== Just amazing no words ...</td>\n",
       "      <td>absolutely amazing\\n== just amazing no words...</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  rating                                             review  \\\n",
       "0     10   The Magic Comes To Life!\\n== Once upon a time...   \n",
       "1     10   Pure Magic\\n== This movie is a delight for th...   \n",
       "2     10   Enchantment, Trapdoor to Imaginary World.\\n==...   \n",
       "3     10   Harry Potter and the Sorcerer's Stone\\n== 10/...   \n",
       "4     10   Great Journey to the Magic World\\n== I watch ...   \n",
       "5     10   The beginning of a magical journey\\n== Harry ...   \n",
       "6     10   Very Book Accurate and Enjoyable!!\\n== Today ...   \n",
       "7     10   Great\\n== It brought out almost every potenti...   \n",
       "8     10   One of my favorites\\n== The most amazing stor...   \n",
       "9     10   Absolutely amazing\\n== Just amazing no words ...   \n",
       "\n",
       "                                          new_review  percent_cap  \n",
       "0    the magic comes to life!\\n== once upon a tim...     0.000000  \n",
       "1    pure magic\\n== this movie is a delight for t...     0.000000  \n",
       "2   ian  enchantment, trapdoor to imaginary world...     0.002242  \n",
       "3    harry potter and the sorcerer's stone\\n== 10...     0.000000  \n",
       "4    great journey to the magic world\\n== i watch...     0.000000  \n",
       "5    the beginning of a magical journey\\n== harry...     0.000000  \n",
       "6   very loves  very book accurate and enjoyable!...     0.020619  \n",
       "7    great\\n== it brought out almost every potent...     0.000000  \n",
       "8   jkr  one of my favorites\\n== the most amazing...     0.014925  \n",
       "9    absolutely amazing\\n== just amazing no words...     0.000000  "
      ]
     },
     "execution_count": 305,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "positive_df.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 306,
   "metadata": {},
   "outputs": [],
   "source": [
    "negative_df[\"new_review\"] = negative_df[\"new_review\"].str.lower()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 307,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>rating</th>\n",
       "      <th>review</th>\n",
       "      <th>new_review</th>\n",
       "      <th>percent_cap</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>For Kids Only, Unfortunately\\n==  *SLIGHT SPO...</td>\n",
       "      <td>slight spoilers  for kids only, unfortunately...</td>\n",
       "      <td>0.010811</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>An effects-laden excuse of an adaptation\\n== ...</td>\n",
       "      <td>an effects-laden excuse of an adaptation\\n==...</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>Hollywood's greatest shame.\\n== At first I li...</td>\n",
       "      <td>wow had ringwraiths entz shelob yeah  hollywo...</td>\n",
       "      <td>0.010187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Dismal, Contrived, Ripoff and just plain dumb...</td>\n",
       "      <td>jrr  dismal, contrived, ripoff and just plain...</td>\n",
       "      <td>0.005952</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>Great storytelling, no story\\n==  SPOILERS Be...</td>\n",
       "      <td>spoilers lot  great storytelling, no story\\n=...</td>\n",
       "      <td>0.003333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>It's bland like drinking warm water\\n== Warni...</td>\n",
       "      <td>it's bland like drinking warm water\\n== warn...</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>Harry Potter and the Chamber of Commerce\\n== ...</td>\n",
       "      <td>harry potter and the chamber of commerce\\n==...</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>its not worth the piece of paper the ticket w...</td>\n",
       "      <td>its not worth the piece of paper the ticket ...</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>My Revenge for the Non Fans!!\\n== Harry Potte...</td>\n",
       "      <td>aol  my revenge for the non fans!!\\n== harry ...</td>\n",
       "      <td>0.002865</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9</td>\n",
       "      <td>1</td>\n",
       "      <td>Terrible Terrible film\\n== How on earth did t...</td>\n",
       "      <td>terrible terrible film\\n== how on earth did ...</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  rating                                             review  \\\n",
       "0      1   For Kids Only, Unfortunately\\n==  *SLIGHT SPO...   \n",
       "1      1   An effects-laden excuse of an adaptation\\n== ...   \n",
       "2      1   Hollywood's greatest shame.\\n== At first I li...   \n",
       "3      1   Dismal, Contrived, Ripoff and just plain dumb...   \n",
       "4      1   Great storytelling, no story\\n==  SPOILERS Be...   \n",
       "5      1   It's bland like drinking warm water\\n== Warni...   \n",
       "6      1   Harry Potter and the Chamber of Commerce\\n== ...   \n",
       "7      1   its not worth the piece of paper the ticket w...   \n",
       "8      1   My Revenge for the Non Fans!!\\n== Harry Potte...   \n",
       "9      1   Terrible Terrible film\\n== How on earth did t...   \n",
       "\n",
       "                                          new_review  percent_cap  \n",
       "0   slight spoilers  for kids only, unfortunately...     0.010811  \n",
       "1    an effects-laden excuse of an adaptation\\n==...     0.000000  \n",
       "2   wow had ringwraiths entz shelob yeah  hollywo...     0.010187  \n",
       "3   jrr  dismal, contrived, ripoff and just plain...     0.005952  \n",
       "4   spoilers lot  great storytelling, no story\\n=...     0.003333  \n",
       "5    it's bland like drinking warm water\\n== warn...     0.000000  \n",
       "6    harry potter and the chamber of commerce\\n==...     0.000000  \n",
       "7    its not worth the piece of paper the ticket ...     0.000000  \n",
       "8   aol  my revenge for the non fans!!\\n== harry ...     0.002865  \n",
       "9    terrible terrible film\\n== how on earth did ...     0.000000  "
      ]
     },
     "execution_count": 307,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "negative_df.head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Now, I need to clean the reviews and remove any non-alpha characters, and the new line character, and space character. First, I want to change anything that ends in n't to the word and then not "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 308,
   "metadata": {},
   "outputs": [],
   "source": [
    "positive_df[\"new_review\"] = positive_df[\"new_review\"].str.replace(r\"(n't)\", \"not\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 309,
   "metadata": {},
   "outputs": [],
   "source": [
    "positive_df[\"new_review\"] = positive_df[\"new_review\"].str.replace(r\"('m)\", \" am\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 310,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 'd can mean had or would... I am going to change it to would beause I feel that is most likely the the correct use for reviews \n",
    "positive_df[\"new_review\"] = positive_df[\"new_review\"].str.replace(r\"('d)\", \" would\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 311,
   "metadata": {},
   "outputs": [],
   "source": [
    "positive_df[\"new_review\"] = positive_df[\"new_review\"].str.replace(r\"('ll)\", \" will\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 312,
   "metadata": {},
   "outputs": [],
   "source": [
    "#I am removing 's, I do not feel like it will be useful for the review as it shows plural or possessive \n",
    "positive_df[\"new_review\"] = positive_df[\"new_review\"].str.replace(r\"('s)\", \"\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 313,
   "metadata": {},
   "outputs": [],
   "source": [
    "#I want to keep the word not "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 314,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>rating</th>\n",
       "      <th>review</th>\n",
       "      <th>new_review</th>\n",
       "      <th>percent_cap</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>The Magic Comes To Life!\\n== Once upon a time...</td>\n",
       "      <td>the magic comes to life!\\n== once upon a tim...</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>Pure Magic\\n== This movie is a delight for th...</td>\n",
       "      <td>pure magic\\n== this movie is a delight for t...</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>Enchantment, Trapdoor to Imaginary World.\\n==...</td>\n",
       "      <td>ian  enchantment, trapdoor to imaginary world...</td>\n",
       "      <td>0.002242</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>10</td>\n",
       "      <td>Harry Potter and the Sorcerer's Stone\\n== 10/...</td>\n",
       "      <td>harry potter and the sorcerer stone\\n== 10/1...</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "      <td>Great Journey to the Magic World\\n== I watch ...</td>\n",
       "      <td>great journey to the magic world\\n== i watch...</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  rating                                             review  \\\n",
       "0     10   The Magic Comes To Life!\\n== Once upon a time...   \n",
       "1     10   Pure Magic\\n== This movie is a delight for th...   \n",
       "2     10   Enchantment, Trapdoor to Imaginary World.\\n==...   \n",
       "3     10   Harry Potter and the Sorcerer's Stone\\n== 10/...   \n",
       "4     10   Great Journey to the Magic World\\n== I watch ...   \n",
       "\n",
       "                                          new_review  percent_cap  \n",
       "0    the magic comes to life!\\n== once upon a tim...     0.000000  \n",
       "1    pure magic\\n== this movie is a delight for t...     0.000000  \n",
       "2   ian  enchantment, trapdoor to imaginary world...     0.002242  \n",
       "3    harry potter and the sorcerer stone\\n== 10/1...     0.000000  \n",
       "4    great journey to the magic world\\n== i watch...     0.000000  "
      ]
     },
     "execution_count": 314,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "positive_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 315,
   "metadata": {},
   "outputs": [],
   "source": [
    "negative_df[\"new_review\"] = negative_df[\"new_review\"].str.replace(r\"(n't)\", \"not\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 316,
   "metadata": {},
   "outputs": [],
   "source": [
    "negative_df[\"new_review\"] = negative_df[\"new_review\"].str.replace(r\"('m)\", \" am\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 317,
   "metadata": {},
   "outputs": [],
   "source": [
    "negative_df[\"new_review\"] = negative_df[\"new_review\"].str.replace(r\"('d)\", \" would\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 318,
   "metadata": {},
   "outputs": [],
   "source": [
    "negative_df[\"new_review\"] = negative_df[\"new_review\"].str.replace(r\"('ll)\", \" will\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 319,
   "metadata": {},
   "outputs": [],
   "source": [
    "negative_df[\"new_review\"] = negative_df[\"new_review\"].str.replace(r\"('s)\", \"\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 320,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>rating</th>\n",
       "      <th>review</th>\n",
       "      <th>new_review</th>\n",
       "      <th>percent_cap</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>For Kids Only, Unfortunately\\n==  *SLIGHT SPO...</td>\n",
       "      <td>slight spoilers  for kids only, unfortunately...</td>\n",
       "      <td>0.010811</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>An effects-laden excuse of an adaptation\\n== ...</td>\n",
       "      <td>an effects-laden excuse of an adaptation\\n==...</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>Hollywood's greatest shame.\\n== At first I li...</td>\n",
       "      <td>wow had ringwraiths entz shelob yeah  hollywo...</td>\n",
       "      <td>0.010187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Dismal, Contrived, Ripoff and just plain dumb...</td>\n",
       "      <td>jrr  dismal, contrived, ripoff and just plain...</td>\n",
       "      <td>0.005952</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>Great storytelling, no story\\n==  SPOILERS Be...</td>\n",
       "      <td>spoilers lot  great storytelling, no story\\n=...</td>\n",
       "      <td>0.003333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>It's bland like drinking warm water\\n== Warni...</td>\n",
       "      <td>it bland like drinking warm water\\n== warnin...</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>Harry Potter and the Chamber of Commerce\\n== ...</td>\n",
       "      <td>harry potter and the chamber of commerce\\n==...</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>its not worth the piece of paper the ticket w...</td>\n",
       "      <td>its not worth the piece of paper the ticket ...</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>My Revenge for the Non Fans!!\\n== Harry Potte...</td>\n",
       "      <td>aol  my revenge for the non fans!!\\n== harry ...</td>\n",
       "      <td>0.002865</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9</td>\n",
       "      <td>1</td>\n",
       "      <td>Terrible Terrible film\\n== How on earth did t...</td>\n",
       "      <td>terrible terrible film\\n== how on earth did ...</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  rating                                             review  \\\n",
       "0      1   For Kids Only, Unfortunately\\n==  *SLIGHT SPO...   \n",
       "1      1   An effects-laden excuse of an adaptation\\n== ...   \n",
       "2      1   Hollywood's greatest shame.\\n== At first I li...   \n",
       "3      1   Dismal, Contrived, Ripoff and just plain dumb...   \n",
       "4      1   Great storytelling, no story\\n==  SPOILERS Be...   \n",
       "5      1   It's bland like drinking warm water\\n== Warni...   \n",
       "6      1   Harry Potter and the Chamber of Commerce\\n== ...   \n",
       "7      1   its not worth the piece of paper the ticket w...   \n",
       "8      1   My Revenge for the Non Fans!!\\n== Harry Potte...   \n",
       "9      1   Terrible Terrible film\\n== How on earth did t...   \n",
       "\n",
       "                                          new_review  percent_cap  \n",
       "0   slight spoilers  for kids only, unfortunately...     0.010811  \n",
       "1    an effects-laden excuse of an adaptation\\n==...     0.000000  \n",
       "2   wow had ringwraiths entz shelob yeah  hollywo...     0.010187  \n",
       "3   jrr  dismal, contrived, ripoff and just plain...     0.005952  \n",
       "4   spoilers lot  great storytelling, no story\\n=...     0.003333  \n",
       "5    it bland like drinking warm water\\n== warnin...     0.000000  \n",
       "6    harry potter and the chamber of commerce\\n==...     0.000000  \n",
       "7    its not worth the piece of paper the ticket ...     0.000000  \n",
       "8   aol  my revenge for the non fans!!\\n== harry ...     0.002865  \n",
       "9    terrible terrible film\\n== how on earth did ...     0.000000  "
      ]
     },
     "execution_count": 320,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "negative_df.head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Time to remove any non-alpha characters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 321,
   "metadata": {},
   "outputs": [],
   "source": [
    "positive_df[\"new_review\"] = positive_df[\"new_review\"].str.replace(r\"[^\\w^\\s]\", \" \")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 322,
   "metadata": {},
   "outputs": [],
   "source": [
    "positive_df[\"new_review\"] = positive_df[\"new_review\"].str.replace('\\n',\" \") "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 323,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>rating</th>\n",
       "      <th>review</th>\n",
       "      <th>new_review</th>\n",
       "      <th>percent_cap</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>The Magic Comes To Life!\\n== Once upon a time...</td>\n",
       "      <td>the magic comes to life     once upon a time...</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>Pure Magic\\n== This movie is a delight for th...</td>\n",
       "      <td>pure magic    this movie is a delight for th...</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>Enchantment, Trapdoor to Imaginary World.\\n==...</td>\n",
       "      <td>ian  enchantment  trapdoor to imaginary world...</td>\n",
       "      <td>0.002242</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>10</td>\n",
       "      <td>Harry Potter and the Sorcerer's Stone\\n== 10/...</td>\n",
       "      <td>harry potter and the sorcerer stone    10 10...</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "      <td>Great Journey to the Magic World\\n== I watch ...</td>\n",
       "      <td>great journey to the magic world    i watch ...</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>487</td>\n",
       "      <td>9</td>\n",
       "      <td>I'm Sorry, Hermoine and Ron Who?\\n== The one ...</td>\n",
       "      <td>i am sorry  hermoine and ron who     the one...</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>488</td>\n",
       "      <td>9</td>\n",
       "      <td>A fantastic ending\\n== This movie was the per...</td>\n",
       "      <td>a fantastic ending    this movie was the per...</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>489</td>\n",
       "      <td>9</td>\n",
       "      <td>LEGENDARY!\\n== Best cinematic universe out th...</td>\n",
       "      <td>legendary  legendary     best cinematic unive...</td>\n",
       "      <td>0.111111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>490</td>\n",
       "      <td>9</td>\n",
       "      <td>Good but ending changed for worse\\n== I was r...</td>\n",
       "      <td>good but ending changed for worse    i was r...</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>491</td>\n",
       "      <td>9</td>\n",
       "      <td>Great conclusion, of fantastic story\\n== i wa...</td>\n",
       "      <td>awesome  great conclusion  of fantastic story...</td>\n",
       "      <td>0.006135</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>492 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    rating                                             review  \\\n",
       "0       10   The Magic Comes To Life!\\n== Once upon a time...   \n",
       "1       10   Pure Magic\\n== This movie is a delight for th...   \n",
       "2       10   Enchantment, Trapdoor to Imaginary World.\\n==...   \n",
       "3       10   Harry Potter and the Sorcerer's Stone\\n== 10/...   \n",
       "4       10   Great Journey to the Magic World\\n== I watch ...   \n",
       "..     ...                                                ...   \n",
       "487      9   I'm Sorry, Hermoine and Ron Who?\\n== The one ...   \n",
       "488      9   A fantastic ending\\n== This movie was the per...   \n",
       "489      9   LEGENDARY!\\n== Best cinematic universe out th...   \n",
       "490      9   Good but ending changed for worse\\n== I was r...   \n",
       "491      9   Great conclusion, of fantastic story\\n== i wa...   \n",
       "\n",
       "                                            new_review  percent_cap  \n",
       "0      the magic comes to life     once upon a time...     0.000000  \n",
       "1      pure magic    this movie is a delight for th...     0.000000  \n",
       "2     ian  enchantment  trapdoor to imaginary world...     0.002242  \n",
       "3      harry potter and the sorcerer stone    10 10...     0.000000  \n",
       "4      great journey to the magic world    i watch ...     0.000000  \n",
       "..                                                 ...          ...  \n",
       "487    i am sorry  hermoine and ron who     the one...     0.000000  \n",
       "488    a fantastic ending    this movie was the per...     0.000000  \n",
       "489   legendary  legendary     best cinematic unive...     0.111111  \n",
       "490    good but ending changed for worse    i was r...     0.000000  \n",
       "491   awesome  great conclusion  of fantastic story...     0.006135  \n",
       "\n",
       "[492 rows x 4 columns]"
      ]
     },
     "execution_count": 323,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "positive_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 324,
   "metadata": {},
   "outputs": [],
   "source": [
    "negative_df[\"new_review\"] = negative_df[\"new_review\"].str.replace(r\"[^\\w^\\s]\", \" \")\n",
    "negative_df[\"new_review\"] = negative_df[\"new_review\"].str.replace('\\n',\" \") "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 325,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>rating</th>\n",
       "      <th>review</th>\n",
       "      <th>new_review</th>\n",
       "      <th>percent_cap</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>For Kids Only, Unfortunately\\n==  *SLIGHT SPO...</td>\n",
       "      <td>slight spoilers  for kids only  unfortunately...</td>\n",
       "      <td>0.010811</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>An effects-laden excuse of an adaptation\\n== ...</td>\n",
       "      <td>an effects laden excuse of an adaptation    ...</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>Hollywood's greatest shame.\\n== At first I li...</td>\n",
       "      <td>wow had ringwraiths entz shelob yeah  hollywo...</td>\n",
       "      <td>0.010187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Dismal, Contrived, Ripoff and just plain dumb...</td>\n",
       "      <td>jrr  dismal  contrived  ripoff and just plain...</td>\n",
       "      <td>0.005952</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>Great storytelling, no story\\n==  SPOILERS Be...</td>\n",
       "      <td>spoilers lot  great storytelling  no story   ...</td>\n",
       "      <td>0.003333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>It's bland like drinking warm water\\n== Warni...</td>\n",
       "      <td>it bland like drinking warm water    warning...</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>Harry Potter and the Chamber of Commerce\\n== ...</td>\n",
       "      <td>harry potter and the chamber of commerce    ...</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>its not worth the piece of paper the ticket w...</td>\n",
       "      <td>its not worth the piece of paper the ticket ...</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>My Revenge for the Non Fans!!\\n== Harry Potte...</td>\n",
       "      <td>aol  my revenge for the non fans      harry p...</td>\n",
       "      <td>0.002865</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9</td>\n",
       "      <td>1</td>\n",
       "      <td>Terrible Terrible film\\n== How on earth did t...</td>\n",
       "      <td>terrible terrible film    how on earth did t...</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  rating                                             review  \\\n",
       "0      1   For Kids Only, Unfortunately\\n==  *SLIGHT SPO...   \n",
       "1      1   An effects-laden excuse of an adaptation\\n== ...   \n",
       "2      1   Hollywood's greatest shame.\\n== At first I li...   \n",
       "3      1   Dismal, Contrived, Ripoff and just plain dumb...   \n",
       "4      1   Great storytelling, no story\\n==  SPOILERS Be...   \n",
       "5      1   It's bland like drinking warm water\\n== Warni...   \n",
       "6      1   Harry Potter and the Chamber of Commerce\\n== ...   \n",
       "7      1   its not worth the piece of paper the ticket w...   \n",
       "8      1   My Revenge for the Non Fans!!\\n== Harry Potte...   \n",
       "9      1   Terrible Terrible film\\n== How on earth did t...   \n",
       "\n",
       "                                          new_review  percent_cap  \n",
       "0   slight spoilers  for kids only  unfortunately...     0.010811  \n",
       "1    an effects laden excuse of an adaptation    ...     0.000000  \n",
       "2   wow had ringwraiths entz shelob yeah  hollywo...     0.010187  \n",
       "3   jrr  dismal  contrived  ripoff and just plain...     0.005952  \n",
       "4   spoilers lot  great storytelling  no story   ...     0.003333  \n",
       "5    it bland like drinking warm water    warning...     0.000000  \n",
       "6    harry potter and the chamber of commerce    ...     0.000000  \n",
       "7    its not worth the piece of paper the ticket ...     0.000000  \n",
       "8   aol  my revenge for the non fans      harry p...     0.002865  \n",
       "9    terrible terrible film    how on earth did t...     0.000000  "
      ]
     },
     "execution_count": 325,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "negative_df.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 326,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Removing any word that contains less than 3 characters \n",
    "positive_df[\"new_review\"] = positive_df.apply(lambda row: remove_words_less_than_3_characters(row[\"new_review\"]), axis = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 327,
   "metadata": {},
   "outputs": [],
   "source": [
    "negative_df[\"new_review\"] = negative_df.apply(lambda row: remove_words_less_than_3_characters(row[\"new_review\"]), axis = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 328,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>rating</th>\n",
       "      <th>review</th>\n",
       "      <th>new_review</th>\n",
       "      <th>percent_cap</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>The Magic Comes To Life!\\n== Once upon a time...</td>\n",
       "      <td>the magic comes life once upon time and not t...</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>Pure Magic\\n== This movie is a delight for th...</td>\n",
       "      <td>pure magic this movie delight for those all a...</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>Enchantment, Trapdoor to Imaginary World.\\n==...</td>\n",
       "      <td>ian enchantment trapdoor imaginary world this...</td>\n",
       "      <td>0.002242</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>10</td>\n",
       "      <td>Harry Potter and the Sorcerer's Stone\\n== 10/...</td>\n",
       "      <td>harry potter and the sorcerer stone unforgett...</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "      <td>Great Journey to the Magic World\\n== I watch ...</td>\n",
       "      <td>great journey the magic world watch this movi...</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5</td>\n",
       "      <td>10</td>\n",
       "      <td>The beginning of a magical journey\\n== Harry ...</td>\n",
       "      <td>the beginning magical journey harry potter ch...</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6</td>\n",
       "      <td>10</td>\n",
       "      <td>Very Book Accurate and Enjoyable!!\\n== Today ...</td>\n",
       "      <td>very loves very book accurate and enjoyable t...</td>\n",
       "      <td>0.020619</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7</td>\n",
       "      <td>10</td>\n",
       "      <td>Great\\n== It brought out almost every potenti...</td>\n",
       "      <td>great brought out almost every potential the ...</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8</td>\n",
       "      <td>10</td>\n",
       "      <td>One of my favorites\\n== The most amazing stor...</td>\n",
       "      <td>jkr one favorites the most amazing story all ...</td>\n",
       "      <td>0.014925</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9</td>\n",
       "      <td>10</td>\n",
       "      <td>Absolutely amazing\\n== Just amazing no words ...</td>\n",
       "      <td>absolutely amazing just amazing words needed ...</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  rating                                             review  \\\n",
       "0     10   The Magic Comes To Life!\\n== Once upon a time...   \n",
       "1     10   Pure Magic\\n== This movie is a delight for th...   \n",
       "2     10   Enchantment, Trapdoor to Imaginary World.\\n==...   \n",
       "3     10   Harry Potter and the Sorcerer's Stone\\n== 10/...   \n",
       "4     10   Great Journey to the Magic World\\n== I watch ...   \n",
       "5     10   The beginning of a magical journey\\n== Harry ...   \n",
       "6     10   Very Book Accurate and Enjoyable!!\\n== Today ...   \n",
       "7     10   Great\\n== It brought out almost every potenti...   \n",
       "8     10   One of my favorites\\n== The most amazing stor...   \n",
       "9     10   Absolutely amazing\\n== Just amazing no words ...   \n",
       "\n",
       "                                          new_review  percent_cap  \n",
       "0   the magic comes life once upon time and not t...     0.000000  \n",
       "1   pure magic this movie delight for those all a...     0.000000  \n",
       "2   ian enchantment trapdoor imaginary world this...     0.002242  \n",
       "3   harry potter and the sorcerer stone unforgett...     0.000000  \n",
       "4   great journey the magic world watch this movi...     0.000000  \n",
       "5   the beginning magical journey harry potter ch...     0.000000  \n",
       "6   very loves very book accurate and enjoyable t...     0.020619  \n",
       "7   great brought out almost every potential the ...     0.000000  \n",
       "8   jkr one favorites the most amazing story all ...     0.014925  \n",
       "9   absolutely amazing just amazing words needed ...     0.000000  "
      ]
     },
     "execution_count": 328,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "positive_df.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 329,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>rating</th>\n",
       "      <th>review</th>\n",
       "      <th>new_review</th>\n",
       "      <th>percent_cap</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>For Kids Only, Unfortunately\\n==  *SLIGHT SPO...</td>\n",
       "      <td>slight spoilers for kids only unfortunately s...</td>\n",
       "      <td>0.010811</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>An effects-laden excuse of an adaptation\\n== ...</td>\n",
       "      <td>effects laden excuse adaptation many viewers ...</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>Hollywood's greatest shame.\\n== At first I li...</td>\n",
       "      <td>wow had ringwraiths entz shelob yeah hollywoo...</td>\n",
       "      <td>0.010187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Dismal, Contrived, Ripoff and just plain dumb...</td>\n",
       "      <td>jrr dismal contrived ripoff and just plain du...</td>\n",
       "      <td>0.005952</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>Great storytelling, no story\\n==  SPOILERS Be...</td>\n",
       "      <td>spoilers lot great storytelling story spoiler...</td>\n",
       "      <td>0.003333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>It's bland like drinking warm water\\n== Warni...</td>\n",
       "      <td>bland like drinking warm water warning there ...</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>Harry Potter and the Chamber of Commerce\\n== ...</td>\n",
       "      <td>harry potter and the chamber commerce ouch th...</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>its not worth the piece of paper the ticket w...</td>\n",
       "      <td>its not worth the piece paper the ticket was ...</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>My Revenge for the Non Fans!!\\n== Harry Potte...</td>\n",
       "      <td>aol revenge for the non fans harry potter and...</td>\n",
       "      <td>0.002865</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9</td>\n",
       "      <td>1</td>\n",
       "      <td>Terrible Terrible film\\n== How on earth did t...</td>\n",
       "      <td>terrible terrible film how earth did this get...</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  rating                                             review  \\\n",
       "0      1   For Kids Only, Unfortunately\\n==  *SLIGHT SPO...   \n",
       "1      1   An effects-laden excuse of an adaptation\\n== ...   \n",
       "2      1   Hollywood's greatest shame.\\n== At first I li...   \n",
       "3      1   Dismal, Contrived, Ripoff and just plain dumb...   \n",
       "4      1   Great storytelling, no story\\n==  SPOILERS Be...   \n",
       "5      1   It's bland like drinking warm water\\n== Warni...   \n",
       "6      1   Harry Potter and the Chamber of Commerce\\n== ...   \n",
       "7      1   its not worth the piece of paper the ticket w...   \n",
       "8      1   My Revenge for the Non Fans!!\\n== Harry Potte...   \n",
       "9      1   Terrible Terrible film\\n== How on earth did t...   \n",
       "\n",
       "                                          new_review  percent_cap  \n",
       "0   slight spoilers for kids only unfortunately s...     0.010811  \n",
       "1   effects laden excuse adaptation many viewers ...     0.000000  \n",
       "2   wow had ringwraiths entz shelob yeah hollywoo...     0.010187  \n",
       "3   jrr dismal contrived ripoff and just plain du...     0.005952  \n",
       "4   spoilers lot great storytelling story spoiler...     0.003333  \n",
       "5   bland like drinking warm water warning there ...     0.000000  \n",
       "6   harry potter and the chamber commerce ouch th...     0.000000  \n",
       "7   its not worth the piece paper the ticket was ...     0.000000  \n",
       "8   aol revenge for the non fans harry potter and...     0.002865  \n",
       "9   terrible terrible film how earth did this get...     0.000000  "
      ]
     },
     "execution_count": 329,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "negative_df.head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Need to tokenize the reviews "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 330,
   "metadata": {},
   "outputs": [],
   "source": [
    "pos_reviews = positive_df[\"new_review\"].tolist()\n",
    "neg_reviews = negative_df[\"new_review\"].tolist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Getting the vader sentiment score for each review \n",
    "pos_sent = sentiment_intensity_score(pos_reviews)\n",
    "neg_sent = sentiment_intensity_score(neg_reviews)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Function 3: Ultimately, I am interested in the compound score that is returned in the function above. This function \n",
    "            #this function will return the compound score (with a positve or negative sign in front of it) and the opinion.\n",
    "    #inputs: the list of dictionaries that was returned from the sentiment_intensity_score function \n",
    "    #output: prints the score for each file and the opinion of each file. \n",
    "def extract_sentiment(vader_sentiment_analysis, type_of_sentiment): \n",
    "    empty_list = []\n",
    "    for file in vader_sentiment_analysis: \n",
    "        empty_list.append(\"{}\".format(file[type_of_sentiment]))\n",
    "    return(empty_list)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [],
   "source": [
    "pos_compound = extract_sentiment(pos_sent, \"compound\")\n",
    "pos_pos = extract_sentiment(pos_sent, \"pos\")\n",
    "pos_neg = extract_sentiment(pos_sent, \"neg\")\n",
    "pos_neu = extract_sentiment(pos_sent, \"neu\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [],
   "source": [
    "neg_compound = extract_sentiment(neg_sent, \"compound\")\n",
    "neg_pos = extract_sentiment(neg_sent, \"pos\")\n",
    "neg_neg = extract_sentiment(neg_sent, \"neg\")\n",
    "neg_neu = extract_sentiment(neg_sent, \"neu\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [],
   "source": [
    "positive_df[\"compound_sentiment\"] = pos_compound\n",
    "positive_df[\"pos_sentiment\"] = pos_pos\n",
    "positive_df[\"neg_sentiment\"] = pos_neg\n",
    "positive_df[\"neu_sentiment\"] = pos_neu"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>rating</th>\n",
       "      <th>review</th>\n",
       "      <th>new_review</th>\n",
       "      <th>percent_cap</th>\n",
       "      <th>compound_sentiment</th>\n",
       "      <th>pos_sentiment</th>\n",
       "      <th>neg_sentiment</th>\n",
       "      <th>neu_sentiment</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>The Magic Comes To Life!\\n== Once upon a time...</td>\n",
       "      <td>the magic comes life once upon time and not t...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.9996</td>\n",
       "      <td>0.22</td>\n",
       "      <td>0.025</td>\n",
       "      <td>0.755</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>Pure Magic\\n== This movie is a delight for th...</td>\n",
       "      <td>pure magic this movie delight for those all a...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.9712</td>\n",
       "      <td>0.259</td>\n",
       "      <td>0.05</td>\n",
       "      <td>0.691</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>Enchantment, Trapdoor to Imaginary World.\\n==...</td>\n",
       "      <td>ian enchantment trapdoor imaginary world this...</td>\n",
       "      <td>0.002242</td>\n",
       "      <td>0.9982</td>\n",
       "      <td>0.23</td>\n",
       "      <td>0.03</td>\n",
       "      <td>0.739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>10</td>\n",
       "      <td>Harry Potter and the Sorcerer's Stone\\n== 10/...</td>\n",
       "      <td>harry potter and the sorcerer stone unforgett...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.5574</td>\n",
       "      <td>0.146</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.854</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "      <td>Great Journey to the Magic World\\n== I watch ...</td>\n",
       "      <td>great journey the magic world watch this movi...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.965</td>\n",
       "      <td>0.272</td>\n",
       "      <td>0.038</td>\n",
       "      <td>0.69</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  rating                                             review  \\\n",
       "0     10   The Magic Comes To Life!\\n== Once upon a time...   \n",
       "1     10   Pure Magic\\n== This movie is a delight for th...   \n",
       "2     10   Enchantment, Trapdoor to Imaginary World.\\n==...   \n",
       "3     10   Harry Potter and the Sorcerer's Stone\\n== 10/...   \n",
       "4     10   Great Journey to the Magic World\\n== I watch ...   \n",
       "\n",
       "                                          new_review  percent_cap  \\\n",
       "0   the magic comes life once upon time and not t...     0.000000   \n",
       "1   pure magic this movie delight for those all a...     0.000000   \n",
       "2   ian enchantment trapdoor imaginary world this...     0.002242   \n",
       "3   harry potter and the sorcerer stone unforgett...     0.000000   \n",
       "4   great journey the magic world watch this movi...     0.000000   \n",
       "\n",
       "  compound_sentiment pos_sentiment neg_sentiment neu_sentiment  \n",
       "0             0.9996          0.22         0.025         0.755  \n",
       "1             0.9712         0.259          0.05         0.691  \n",
       "2             0.9982          0.23          0.03         0.739  \n",
       "3             0.5574         0.146           0.0         0.854  \n",
       "4              0.965         0.272         0.038          0.69  "
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "positive_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [],
   "source": [
    "negative_df[\"compound_sentiment\"] = neg_compound\n",
    "negative_df[\"pos_sentiment\"] = neg_pos\n",
    "negative_df[\"neg_sentiment\"] = neg_neg\n",
    "negative_df[\"neu_sentiment\"] = neg_neu"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>rating</th>\n",
       "      <th>review</th>\n",
       "      <th>new_review</th>\n",
       "      <th>percent_cap</th>\n",
       "      <th>compound_sentiment</th>\n",
       "      <th>pos_sentiment</th>\n",
       "      <th>neg_sentiment</th>\n",
       "      <th>neu_sentiment</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>For Kids Only, Unfortunately\\n==  *SLIGHT SPO...</td>\n",
       "      <td>slight spoilers for kids only unfortunately s...</td>\n",
       "      <td>0.010811</td>\n",
       "      <td>-0.9546</td>\n",
       "      <td>0.066</td>\n",
       "      <td>0.17</td>\n",
       "      <td>0.764</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>An effects-laden excuse of an adaptation\\n== ...</td>\n",
       "      <td>effects laden excuse adaptation many viewers ...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.8862</td>\n",
       "      <td>0.159</td>\n",
       "      <td>0.097</td>\n",
       "      <td>0.744</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>Hollywood's greatest shame.\\n== At first I li...</td>\n",
       "      <td>wow had ringwraiths entz shelob yeah hollywoo...</td>\n",
       "      <td>0.010187</td>\n",
       "      <td>0.9744</td>\n",
       "      <td>0.164</td>\n",
       "      <td>0.114</td>\n",
       "      <td>0.722</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Dismal, Contrived, Ripoff and just plain dumb...</td>\n",
       "      <td>jrr dismal contrived ripoff and just plain du...</td>\n",
       "      <td>0.005952</td>\n",
       "      <td>-0.7556</td>\n",
       "      <td>0.118</td>\n",
       "      <td>0.194</td>\n",
       "      <td>0.687</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>Great storytelling, no story\\n==  SPOILERS Be...</td>\n",
       "      <td>spoilers lot great storytelling story spoiler...</td>\n",
       "      <td>0.003333</td>\n",
       "      <td>0.9912</td>\n",
       "      <td>0.16</td>\n",
       "      <td>0.091</td>\n",
       "      <td>0.749</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  rating                                             review  \\\n",
       "0      1   For Kids Only, Unfortunately\\n==  *SLIGHT SPO...   \n",
       "1      1   An effects-laden excuse of an adaptation\\n== ...   \n",
       "2      1   Hollywood's greatest shame.\\n== At first I li...   \n",
       "3      1   Dismal, Contrived, Ripoff and just plain dumb...   \n",
       "4      1   Great storytelling, no story\\n==  SPOILERS Be...   \n",
       "\n",
       "                                          new_review  percent_cap  \\\n",
       "0   slight spoilers for kids only unfortunately s...     0.010811   \n",
       "1   effects laden excuse adaptation many viewers ...     0.000000   \n",
       "2   wow had ringwraiths entz shelob yeah hollywoo...     0.010187   \n",
       "3   jrr dismal contrived ripoff and just plain du...     0.005952   \n",
       "4   spoilers lot great storytelling story spoiler...     0.003333   \n",
       "\n",
       "  compound_sentiment pos_sentiment neg_sentiment neu_sentiment  \n",
       "0            -0.9546         0.066          0.17         0.764  \n",
       "1             0.8862         0.159         0.097         0.744  \n",
       "2             0.9744         0.164         0.114         0.722  \n",
       "3            -0.7556         0.118         0.194         0.687  \n",
       "4             0.9912          0.16         0.091         0.749  "
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "negative_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 331,
   "metadata": {},
   "outputs": [],
   "source": [
    "positive_df[\"review_tokenize\"] = positive_df.apply(lambda row: nltk.word_tokenize(row[\"new_review\"]), axis = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 332,
   "metadata": {},
   "outputs": [],
   "source": [
    "negative_df[\"review_tokenize\"] = negative_df.apply(lambda row: nltk.word_tokenize(row[\"new_review\"]), axis = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 333,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>rating</th>\n",
       "      <th>review</th>\n",
       "      <th>new_review</th>\n",
       "      <th>percent_cap</th>\n",
       "      <th>review_tokenize</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>The Magic Comes To Life!\\n== Once upon a time...</td>\n",
       "      <td>the magic comes life once upon time and not t...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>[the, magic, comes, life, once, upon, time, an...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>Pure Magic\\n== This movie is a delight for th...</td>\n",
       "      <td>pure magic this movie delight for those all a...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>[pure, magic, this, movie, delight, for, those...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>Enchantment, Trapdoor to Imaginary World.\\n==...</td>\n",
       "      <td>ian enchantment trapdoor imaginary world this...</td>\n",
       "      <td>0.002242</td>\n",
       "      <td>[ian, enchantment, trapdoor, imaginary, world,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>10</td>\n",
       "      <td>Harry Potter and the Sorcerer's Stone\\n== 10/...</td>\n",
       "      <td>harry potter and the sorcerer stone unforgett...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>[harry, potter, and, the, sorcerer, stone, unf...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "      <td>Great Journey to the Magic World\\n== I watch ...</td>\n",
       "      <td>great journey the magic world watch this movi...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>[great, journey, the, magic, world, watch, thi...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  rating                                             review  \\\n",
       "0     10   The Magic Comes To Life!\\n== Once upon a time...   \n",
       "1     10   Pure Magic\\n== This movie is a delight for th...   \n",
       "2     10   Enchantment, Trapdoor to Imaginary World.\\n==...   \n",
       "3     10   Harry Potter and the Sorcerer's Stone\\n== 10/...   \n",
       "4     10   Great Journey to the Magic World\\n== I watch ...   \n",
       "\n",
       "                                          new_review  percent_cap  \\\n",
       "0   the magic comes life once upon time and not t...     0.000000   \n",
       "1   pure magic this movie delight for those all a...     0.000000   \n",
       "2   ian enchantment trapdoor imaginary world this...     0.002242   \n",
       "3   harry potter and the sorcerer stone unforgett...     0.000000   \n",
       "4   great journey the magic world watch this movi...     0.000000   \n",
       "\n",
       "                                     review_tokenize  \n",
       "0  [the, magic, comes, life, once, upon, time, an...  \n",
       "1  [pure, magic, this, movie, delight, for, those...  \n",
       "2  [ian, enchantment, trapdoor, imaginary, world,...  \n",
       "3  [harry, potter, and, the, sorcerer, stone, unf...  \n",
       "4  [great, journey, the, magic, world, watch, thi...  "
      ]
     },
     "execution_count": 333,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "positive_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 334,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>rating</th>\n",
       "      <th>review</th>\n",
       "      <th>new_review</th>\n",
       "      <th>percent_cap</th>\n",
       "      <th>review_tokenize</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>For Kids Only, Unfortunately\\n==  *SLIGHT SPO...</td>\n",
       "      <td>slight spoilers for kids only unfortunately s...</td>\n",
       "      <td>0.010811</td>\n",
       "      <td>[slight, spoilers, for, kids, only, unfortunat...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>An effects-laden excuse of an adaptation\\n== ...</td>\n",
       "      <td>effects laden excuse adaptation many viewers ...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>[effects, laden, excuse, adaptation, many, vie...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>Hollywood's greatest shame.\\n== At first I li...</td>\n",
       "      <td>wow had ringwraiths entz shelob yeah hollywoo...</td>\n",
       "      <td>0.010187</td>\n",
       "      <td>[wow, had, ringwraiths, entz, shelob, yeah, ho...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Dismal, Contrived, Ripoff and just plain dumb...</td>\n",
       "      <td>jrr dismal contrived ripoff and just plain du...</td>\n",
       "      <td>0.005952</td>\n",
       "      <td>[jrr, dismal, contrived, ripoff, and, just, pl...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>Great storytelling, no story\\n==  SPOILERS Be...</td>\n",
       "      <td>spoilers lot great storytelling story spoiler...</td>\n",
       "      <td>0.003333</td>\n",
       "      <td>[spoilers, lot, great, storytelling, story, sp...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  rating                                             review  \\\n",
       "0      1   For Kids Only, Unfortunately\\n==  *SLIGHT SPO...   \n",
       "1      1   An effects-laden excuse of an adaptation\\n== ...   \n",
       "2      1   Hollywood's greatest shame.\\n== At first I li...   \n",
       "3      1   Dismal, Contrived, Ripoff and just plain dumb...   \n",
       "4      1   Great storytelling, no story\\n==  SPOILERS Be...   \n",
       "\n",
       "                                          new_review  percent_cap  \\\n",
       "0   slight spoilers for kids only unfortunately s...     0.010811   \n",
       "1   effects laden excuse adaptation many viewers ...     0.000000   \n",
       "2   wow had ringwraiths entz shelob yeah hollywoo...     0.010187   \n",
       "3   jrr dismal contrived ripoff and just plain du...     0.005952   \n",
       "4   spoilers lot great storytelling story spoiler...     0.003333   \n",
       "\n",
       "                                     review_tokenize  \n",
       "0  [slight, spoilers, for, kids, only, unfortunat...  \n",
       "1  [effects, laden, excuse, adaptation, many, vie...  \n",
       "2  [wow, had, ringwraiths, entz, shelob, yeah, ho...  \n",
       "3  [jrr, dismal, contrived, ripoff, and, just, pl...  \n",
       "4  [spoilers, lot, great, storytelling, story, sp...  "
      ]
     },
     "execution_count": 334,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "negative_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Writing the pandas df to a csv file to save what I have done. \n",
    "positive_df.to_csv(r'positive_hp_reviews.csv')\n",
    "negative_df.to_csv(r'negative_hp_reviews.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 342,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Now, I am going to remove a selected list of stopwords from the tokenized review\n",
    "stopwords = [\"the\", \"and\", \"was\", \"that\", \"this\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 343,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Removing stopwords in the tokenized review \n",
    "positive_df[\"stopwords_removed\"] = positive_df[\"review_tokenize\"].apply(lambda row: stop_word_removal(stopwords, row))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 344,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>rating</th>\n",
       "      <th>review</th>\n",
       "      <th>new_review</th>\n",
       "      <th>percent_cap</th>\n",
       "      <th>review_tokenize</th>\n",
       "      <th>stopwords_removed</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>The Magic Comes To Life!\\n== Once upon a time...</td>\n",
       "      <td>the magic comes life once upon time and not t...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>[the, magic, comes, life, once, upon, time, an...</td>\n",
       "      <td>[magic, comes, life, once, upon, time, not, lo...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>Pure Magic\\n== This movie is a delight for th...</td>\n",
       "      <td>pure magic this movie delight for those all a...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>[pure, magic, this, movie, delight, for, those...</td>\n",
       "      <td>[pure, magic, movie, delight, for, those, all,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>Enchantment, Trapdoor to Imaginary World.\\n==...</td>\n",
       "      <td>ian enchantment trapdoor imaginary world this...</td>\n",
       "      <td>0.002242</td>\n",
       "      <td>[ian, enchantment, trapdoor, imaginary, world,...</td>\n",
       "      <td>[ian, enchantment, trapdoor, imaginary, world,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>10</td>\n",
       "      <td>Harry Potter and the Sorcerer's Stone\\n== 10/...</td>\n",
       "      <td>harry potter and the sorcerer stone unforgett...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>[harry, potter, and, the, sorcerer, stone, unf...</td>\n",
       "      <td>[harry, potter, sorcerer, stone, unforgettable...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "      <td>Great Journey to the Magic World\\n== I watch ...</td>\n",
       "      <td>great journey the magic world watch this movi...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>[great, journey, the, magic, world, watch, thi...</td>\n",
       "      <td>[great, journey, magic, world, watch, movie, a...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  rating                                             review  \\\n",
       "0     10   The Magic Comes To Life!\\n== Once upon a time...   \n",
       "1     10   Pure Magic\\n== This movie is a delight for th...   \n",
       "2     10   Enchantment, Trapdoor to Imaginary World.\\n==...   \n",
       "3     10   Harry Potter and the Sorcerer's Stone\\n== 10/...   \n",
       "4     10   Great Journey to the Magic World\\n== I watch ...   \n",
       "\n",
       "                                          new_review  percent_cap  \\\n",
       "0   the magic comes life once upon time and not t...     0.000000   \n",
       "1   pure magic this movie delight for those all a...     0.000000   \n",
       "2   ian enchantment trapdoor imaginary world this...     0.002242   \n",
       "3   harry potter and the sorcerer stone unforgett...     0.000000   \n",
       "4   great journey the magic world watch this movi...     0.000000   \n",
       "\n",
       "                                     review_tokenize  \\\n",
       "0  [the, magic, comes, life, once, upon, time, an...   \n",
       "1  [pure, magic, this, movie, delight, for, those...   \n",
       "2  [ian, enchantment, trapdoor, imaginary, world,...   \n",
       "3  [harry, potter, and, the, sorcerer, stone, unf...   \n",
       "4  [great, journey, the, magic, world, watch, thi...   \n",
       "\n",
       "                                   stopwords_removed  \n",
       "0  [magic, comes, life, once, upon, time, not, lo...  \n",
       "1  [pure, magic, movie, delight, for, those, all,...  \n",
       "2  [ian, enchantment, trapdoor, imaginary, world,...  \n",
       "3  [harry, potter, sorcerer, stone, unforgettable...  \n",
       "4  [great, journey, magic, world, watch, movie, a...  "
      ]
     },
     "execution_count": 344,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "positive_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 345,
   "metadata": {},
   "outputs": [],
   "source": [
    "negative_df[\"stopwords_removed\"] = negative_df[\"review_tokenize\"].apply(lambda row: stop_word_removal(stopwords, row))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 346,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>rating</th>\n",
       "      <th>review</th>\n",
       "      <th>new_review</th>\n",
       "      <th>percent_cap</th>\n",
       "      <th>review_tokenize</th>\n",
       "      <th>stopwords_removed</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>For Kids Only, Unfortunately\\n==  *SLIGHT SPO...</td>\n",
       "      <td>slight spoilers for kids only unfortunately s...</td>\n",
       "      <td>0.010811</td>\n",
       "      <td>[slight, spoilers, for, kids, only, unfortunat...</td>\n",
       "      <td>[slight, spoilers, for, kids, only, unfortunat...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>An effects-laden excuse of an adaptation\\n== ...</td>\n",
       "      <td>effects laden excuse adaptation many viewers ...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>[effects, laden, excuse, adaptation, many, vie...</td>\n",
       "      <td>[effects, laden, excuse, adaptation, many, vie...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>Hollywood's greatest shame.\\n== At first I li...</td>\n",
       "      <td>wow had ringwraiths entz shelob yeah hollywoo...</td>\n",
       "      <td>0.010187</td>\n",
       "      <td>[wow, had, ringwraiths, entz, shelob, yeah, ho...</td>\n",
       "      <td>[wow, had, ringwraiths, entz, shelob, yeah, ho...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Dismal, Contrived, Ripoff and just plain dumb...</td>\n",
       "      <td>jrr dismal contrived ripoff and just plain du...</td>\n",
       "      <td>0.005952</td>\n",
       "      <td>[jrr, dismal, contrived, ripoff, and, just, pl...</td>\n",
       "      <td>[jrr, dismal, contrived, ripoff, just, plain, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>Great storytelling, no story\\n==  SPOILERS Be...</td>\n",
       "      <td>spoilers lot great storytelling story spoiler...</td>\n",
       "      <td>0.003333</td>\n",
       "      <td>[spoilers, lot, great, storytelling, story, sp...</td>\n",
       "      <td>[spoilers, lot, great, storytelling, story, sp...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  rating                                             review  \\\n",
       "0      1   For Kids Only, Unfortunately\\n==  *SLIGHT SPO...   \n",
       "1      1   An effects-laden excuse of an adaptation\\n== ...   \n",
       "2      1   Hollywood's greatest shame.\\n== At first I li...   \n",
       "3      1   Dismal, Contrived, Ripoff and just plain dumb...   \n",
       "4      1   Great storytelling, no story\\n==  SPOILERS Be...   \n",
       "\n",
       "                                          new_review  percent_cap  \\\n",
       "0   slight spoilers for kids only unfortunately s...     0.010811   \n",
       "1   effects laden excuse adaptation many viewers ...     0.000000   \n",
       "2   wow had ringwraiths entz shelob yeah hollywoo...     0.010187   \n",
       "3   jrr dismal contrived ripoff and just plain du...     0.005952   \n",
       "4   spoilers lot great storytelling story spoiler...     0.003333   \n",
       "\n",
       "                                     review_tokenize  \\\n",
       "0  [slight, spoilers, for, kids, only, unfortunat...   \n",
       "1  [effects, laden, excuse, adaptation, many, vie...   \n",
       "2  [wow, had, ringwraiths, entz, shelob, yeah, ho...   \n",
       "3  [jrr, dismal, contrived, ripoff, and, just, pl...   \n",
       "4  [spoilers, lot, great, storytelling, story, sp...   \n",
       "\n",
       "                                   stopwords_removed  \n",
       "0  [slight, spoilers, for, kids, only, unfortunat...  \n",
       "1  [effects, laden, excuse, adaptation, many, vie...  \n",
       "2  [wow, had, ringwraiths, entz, shelob, yeah, ho...  \n",
       "3  [jrr, dismal, contrived, ripoff, just, plain, ...  \n",
       "4  [spoilers, lot, great, storytelling, story, sp...  "
      ]
     },
     "execution_count": 346,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "negative_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Writing the pandas df to a csv file to save what I have done. \n",
    "positive_df.to_csv(r'positive_hp_reviews.csv')\n",
    "negative_df.to_csv(r'negative_hp_reviews.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 347,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Now, I am going to visualize the stopwords_removed reviews and decide on what the next processing steps are. \n",
    "#Visualizing the data without the stopwords \n",
    "pos_viz = pd.DataFrame()\n",
    "pos_viz[\"stopwords_removed\"] = positive_df[\"stopwords_removed\"].copy()\n",
    "pos_viz[\"stopwords_removed\"] = getting_data_ready_for_freq(pos_viz, \"stopwords_removed\")\n",
    "stopwords_removed_dict_pos = creating_freq_list_from_df_to_dict(pos_viz, \"stopwords_removed\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 348,
   "metadata": {},
   "outputs": [],
   "source": [
    "neg_viz = pd.DataFrame()\n",
    "neg_viz[\"stopwords_removed\"] = negative_df[\"stopwords_removed\"].copy()\n",
    "neg_viz[\"stopwords_removed\"] = getting_data_ready_for_freq(neg_viz, \"stopwords_removed\")\n",
    "stopwords_removed_dict_neg = creating_freq_list_from_df_to_dict(neg_viz, \"stopwords_removed\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 349,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAl0AAAHaCAYAAAA63/zWAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjEsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy8QZhcZAAAgAElEQVR4nOydd3hcxbm439ldabValVVvLpKsYiwXMG7YGBtMDzGEElooIT3kktwkhJtcLnCTX27IzU0BAqEkl5KbBAIhBAIJJRhMcQfb2NhykyxZva+klbbO749TdLTaXUkuGMK8z7OPdKadOXPOzPnON998I6SUKBQKhUKhUCiOLbbjXQGFQqFQKBSKjwNK6FIoFAqFQqH4AFBCl0KhUCgUCsUHgBK6FAqFQqFQKD4AlNClUCgUCoVC8QGghC6FQqFQKBSKD4B/KqFLCCH1X+lh5q/X8688qhVTACCEcFju0ZTjXR9FbIQQ5+r3aPdxOPeX9XP//YM+9+EihJip13n4eNdFcexQ91kRCyHE1/Tn4q8TST8hoUsI8YjlZWn9eYUQW4UQP/kwv0SFECcKIe4QQlx/vOtytNCvJ9Y9GRRC7BVCPCqEWHS86/nPhBDiRb2N/5ggzTLLvXg6QbrFlnQnHpsaH1+EELOEED8WQmwWQrQLIQJCiG4hxBYhxF1CiIXHu44fBoQQuUKI24QQ6/X2CQghWvWx9XdCiC8IIabHyHepPg6cejzqrTh2WD4+on8+IUSdEOJxIcQZx7ueisnjmGT6INCt/y+APGCe/vu8EOKTUso3j2L9Jkut/jcYFX4icDvwOvBIgvz7gWHAd9RrduyIAB2W4xygQv99RgjxLSnlL45LzcYiiX+PPgqsBc4GTkuQxhq3XAghZGwPxEa6XmD7UarfhwIhRDJwN/AFRj7sIkAfkAbM1383CSFeAC6VUg4dj7oeb3SB6c9AriXYi9ZOxth6FfAEcEVU9kuBy9HGrOM57iqOLW2W/7OAUv13uRDiR1LK7x2PSikOj8lOL74tpSzUfwVoA8O1aC8OD/CkEMJ1tCs5UaSUM/Vf02HmX6Xn33i063YMabTck0IgBVgGbEW7vz8VQsw+rjXUkVKGLfeobfwcHzpe1/8WCCGq46RZrv9tQ3uRnhAnnSF0vSGljByl+h13dIHrReBLaB9mv0N7Hp1SymzACVQD3wXagfOBzONT2+OLECIX+Avac7IbTYBKk1JmSinTgBI0gesvQOi4VVRxPPFHje8u4CTgDT3+u0rj9dHiiGy6pJQ+KeVvgZv0oELgoiOuleKw0QWbt9HuQxDtHn/m+Nbqn4aNaFoFiKHtEkLYgKVomtIHEqQTaIIIaNqzfyZ+DKxE02xdJaX8jJTybSllCEBq7JFS3gnMAH5//Kp63PkMkA0MAiullH+UUg4akVLKZinlH6SUF6FpDRUfc6SUESnlVuBTaMoO0BQfio8IR8uQ/o9ogyzAydGRQogCIcRPhRC79TnpPiHERiHEt4QQzniFCiEuFEK8IIRoE0IEdXuHWiHEH4QQl8dIP8aQXgghgYf1wxUx5shXWtKOMaQXQvxaD3sqUQMIIb6rp3snTvwnhRB/0W01ArqNy3NCiHMSlXu4SCkPAnv0w1mJ0gohVgshnrXUrU0/PitGWsO+7/FxyvwPPd1GS9i4hvRCiHQhxK26HVCfEGJICLFHtwEqiZH+db28L8aI+zfL+S6OEf8/etyvE12LgZQyAKzXD2NNMc5D09qsB9boYctjpJuDNk0AI9qz6LqdpT8vbfo9aRFC/EkIEXNqUwiRYrnWQiHEbCHE/wkhDul95/Go9NlCiF8IIQ4KIYaFEA1CiPuFEEWJWyE+QrM7+pp++DMpZcJnREo5IKW8mtHTJxM5z6eFEC8JITqFEH4hRKMQ4rdCiLlx0o+7MECMY8AvhHAJIf5TfxaH9fvxf0KIqsnUPYo5+t/N42l+rdOvxvWgacYAfhQ1po0x9BZCeIQQPxBCvCeEGBBC9AvNZuw2IUR6rHMKIe7Uy7tf77s36/l9ets/I4SYHyPfWXq+hhhxSUKzO405VgohsoQQEeM5jhG/UGjjf5N+7zuE9o64MF7b6eOaFEIsEUJME0I8IDS7KL8QYn1U2sO6z0IImxDic0KI14T2ngrqddshtHfImYnyTxYpZRewRT8cb3w/QwjxlKXNOoVmnzpmTNTTX6C31w79eLV+XT36tf1NCHGyJX22EOK/hRD79Tar15+1RO92h97n3tTLHdbz3ydi2y8az+Jr41zrF/R0B4UQ4kjbwpJvuhDiYf15GBZC7NPrlJYoX0yklOP+0OygJPBagjRtepoHo8IXAV16nESzVxiyHG8F8mOU90NLmlj5WmPkMeJKLWGtaLYkEgjox9bfUkvaej3dSkvYGXrYEJCR4Pq36+m+HRWeBPxf1LX0RR3/90TuQ1S5d+h56xOk2amneT5OfDLwh3Hq9l9Rec7WwwfRpkLinft9Pd03LGEOS7lTYuSpARosaYLAgOW4C1gSlef7etzvYpT3N0veu2LEb9TjrplEu/+nnudgjLiv63F3oE0D+NGmf6PTfc3yTNtjxP/EUu8wmh1lxBJ2e4w8KZb4qxnpK31o2rnHLWmnAHWW9D5LOzcDX9T/3z3JZ9K4F34gb7LPtF7Gl/Uy/h4jzhH1vIaAnqjjG2LkO3e86xnnvJloLzhpuT6vpX2v1v8fnuS1/kbPt2eS+U5HG7uMe9zP6DGtPir9TKDRUv8B/Z4bx/uBshjnuVOPfxD4KyN9steSNwhcFJXPrYfL6HLRNLzWZ9sTFX+hHlcboz7/EtUPevR7bhz/GrDFyNeqx38erS8ZbTAIrD8a9xl4ypJP6m0UsBy/dpj9IO4zBfxDT7MlTrwNuCeqXn1RbfgbQETlu0CP2wHczEjfsr4bBtAULMVodrrGc2i95ifi1CsdTcNvbefoss+OyjNHj4sQ491hSfeqnu7Oo9EWet6TGD3O9DPS93agmUpI4K8TurcTfAAeSfTgoL1gjMr/tyU8C20Ql2hCyUI93I5mBGp0gJejyitF65AS+C8g1xKXD1wC/CZGPYxGKY0Kv34iDz6xhS4b0KSHXxcnX028BwL4uR5XB1yJLqig2cN90fKwXTnJTnkHCYQuvQ2NDnBPnDTGQ7ifEXsSo25fZmTAucySx87IIHZ1nHLnMTKoFlnC4wpd+rNiCFxP6WXY9bhyNNsgqT9PGZZ8Z+rhh6LKs+tt26/fl60xOr4xYE+bRLsbQrgEpkfFGQPvKv14HbFfPH8k/gv+ekv5PwWy9fA84H5L3KVR+axCVz/wMnCCHieAGZb/jQGvFc2mSuhxp+vPqfFSnazQ9QaH8YKJKiOR8GM882HgO4BbD58GPMPIy2FxVL4jFbp+a2nXqwGHHn4S8K6lvSYrdH3Fcs9uB5Inmf9xPe+/JUiTAuzS0x1AH9v05+AcRsa2d4CkqLyG0NWLJkR9DUjR46rQtLnGS3JaVN71etz1UeHGC8oYWy6Iiv+pHh798X46I++Y3wHFeniG5bmQRH306mmM8apfv85FlriKI73PjHyIBoGvMjKO2tDs8m4AfnSY/SDmM4W2YMoQBJ6Mk+bfGRkzP4c+bgKp+vW16/H/EpXPELr69Wu61ZK3khHBdA3wd2Abep9Ds9n8GiPv79Ni1MtQQgyijXfJengNI2NmX4xn6j097ltxrrfIct65R6ktXGjvR4nWj5bo4XY0OaTb8lx8oEKX8eUugUss4f/ByBdJYYx8Z1vynWEJ/7RxkZN8UI2ySqPCr09Uf0u6eqKELj38Z3r4i3Hy/b9Y5esPaFi//vI4eY1r3THJa72DGEKX/jCcgjZIGO2xOEb+mWiDWBdRwoMlzVV6/miB5W49PJ4GzRisX4kKTyR0GXmeIvbXhkAz0JaM1p6lMiJczrCEL9DDnkXrrBEgyxJvvIjrJtnuLsv5romKa0UbpAxhwNBYXReVrkUP/26Me3dQj3s4zvmf1uNrre3EaKFrF5rheqz8ZzHygbA0Rvwsy/VNVujq1PON0SpOooyYwg/aQp1BPe72GPkcwAY9/qWouMMWutD6sNGuV8TIl8/Ix+Nkha40RgZ0idYXn0TTLqwAXOPkn4jQ9QWjbkBVjPiTGPn4uCoq7k5L3ca86PS+d0CP/2VU3I9jPcdoL2nJyEzGT6LiNxPjgw54Sw//B7HHB2OM7gFSo+IMoasDyInTTod9n4Hb9PA/H+5zn+B5jD6XDW01vlVTdGGM/AX6PR8iSgCxpDE+IJuxaAgZEbokMT7Y0RYHGfFDxJ61eEKPvztB3jEf7WhCtKGVvS8q7nt6eDzN3jeI8S49wrYwPowGifGeZGRskRxroQvtJVgKfJsRVXU9lq81NAl4TMeKKvttPc39MS6kOboDjVNP4+JLo8Kvj65/nPz1xBa6jBd4iNhTofv0+C9Ghf+ABC9QPY1DfyAkFq3QBK71Dj1PmNFTC1b1bswXlJ7/R3r8QwnOkWwpL88SvkQPCxA1iOnPhdGON8S4VqNe0UKXIYgsS1Af4z4+HxW+Lvp8wLf0sG8C9+r/r45x/Y9MtM1jPLMPWcKq9TDrdMVqPezXljDr4L40qtxTLHEz4px7riXNiZZwq9D1lQR1f0BPsyZBGmPAnLDQpd934ysz5jM3wXLiCT9X6uE+ID1OXqO94wnYhyN0GZqZugR5DQFjUkKXnncqI4JI9M+PpsFbGCfvRIQu40PltwnSGIL8M1HhhtDVh67hipH3X/Q0bVHhn9DDD1jCHGjaky60aSkJbLTEZzAiAE6xhBdZ2mRVnHrkMjJWRU93GkLXjxO0wWHfZ0Ze9uuIIRAeYT+QjB7f/VHPyK9inZMRU4fnxjmP0TZzLGFWoas4Tj5DQ/pAnHjDROHVqHBDEXMgQZ2+qafpiAovtdQr1geE8dH1vaPYFsYUbqL3pKH5m5DQNVlDetMQHW1gq0P7mnehvTQvkpqxsbF03HBVsCZBma/qf60GmRvQviqKgHVCiC8KIcomWdejhpRyM5pRuh1NM2UihFiMtgoriKalsbJU/3upbsw55gccQrP7Am0Aniw2NEne+BllDaOp7v8zTj6jbpcnqFuDfs2j6ialXI/2hZ4EXBaj3Olog8OfJnIB+r01jGafTlCfn0XXRccwRl9hCVthiRsvfrIYeaxG7aYLCEuY8XUeK90Q2le9FaMPNEop98c6sZRyO5pGyZo+mnVxwq15El334bTJscao92YpZX+cNGvQ2lugaXCO5nmPSXtJKRullOeijZW3Ai+gDf6gffRcCKwXQnz5ME9h1H+yY7CV9VLKeF7YjWvPF0IUW8LfRHtHlAkhjP46H027t1ZK2QzsBeaLEUP+U9HGmwNSykMxriFEHH9kUspORvzdfdD94iW9bkuAfwghroq1COAIsI7vyXpYGE2D/hWpv/mjMMb3M+KNp/qYmqOni/Xu6dbvUyza9b874sQbC0OyosKNdn4tTj4YeR5zhRDTjEApZT0j9/AqawYhxAw0+3HQ7D6tHElbHPX+P1mhK4jWmG1oA8N+NNuR7wA1UlvKapBtKT+R3yyjc+UZAVLKHuAatLnSuWhf5wf0lQOPCiFWjC3mmGPcyCujwo3jv0spu6PijJVgaYzuONE/o51SD6NeB6WUQkop0DrkTLSvnxTgfhF/SySjbumHWTdjZVq89nhBStk3wWuwrpjLT1AXowNH18Vwu7ACTNcNy9G+0N8lSugSQqSiaS/h8F6YxvmqhBAF+v/GKkVT6JLaCqNdQKVlEDaErnXGB4oFow+M52fOiM+LE98RJ9yaJ95gOpHzj0Ef+Hv0w+zJ5p8A47aNLox5o9IfrfMe1faKRkq5U0r5QynlJ6SURWj2LT9E+3iyAb8UQtRMpkx99ZZxLyY1BkeRKK81zjqG96HNdMDIB47x9zX97+toQtayqPjoPmmU2yml9Ceoy3jXcUz6hZTyfTS3SX4027PfAS36arxfijiraieI3zK+O9DsW+9EeyZ+nqBsY0xNJfH47rCki6YlQb3C46Qx4pOiwicyxlkF7uh7abiYiffeWSelrIuKO6y2EEI40Mwa4Cj2/yNxjlokpayQUp4tpfyJLijFI+7S0XhIKV9AUyd+Ec3wuBlNG3It8JoQ4sHJlnmE/E7/e4ohyOgvd0PzFcvfkNG+Xzc6zji/146kglLKoJSyVkr5VeAhtFVqf9DrGa9uN06wbtFfmEZ7LBe6+wchhJ0Rzddk/C9Z6+eeQF0qovK/idbJp+vLjeeidZY3pebXpg3NBupEIUQG2pdPEtAkpTwwiXpGnw9GhKjT0LQsb8VIG50OEgt7k+4vUYTHT5KQMUutJ8gu/e+8Izx/Io60bY4Fh9tecZFSvi+lvBX4pB5kZ/L+mKz1OlbtlujaozXM0UJVvPh4vus+tP1CSvkroAxtauw5tJmacuBGYKsQ4ltHeG6k5oOxTkr5XTQ74mzgjyK2Q3JjTP3BBMf3hC6RjgGHey+fQNMqVlndVjAidCV6Dx+rtphU/z+WG14by9xBm26Kh+GvacxXiJSyT0r5kJTycillCdrX30N69BeEEJ84arUdBynlXrS5W8HIdhwr0aToQTSD7WgMFWtCPyrHiFvQND1L0LSG0RxR3aSUu9C+ZK3tsQpNU+VFW2I+Uaw+iiZdHymlF831CGgDd/QXNYx8VZ/KkU0tGhoV43yn6ULndOB9XbtlxRC6DOG0VD+O9WIx+kCi/gLaiihr+slg5ClOkOZwfXUZU1inCCGOlqbJYNy20aepMqLSw4g395QE5cfzin8s22tcpJSvoE3zg7ZicDJ5I4xs23ZYY7DORK89Or8pVOkffqeiaUO3x4hPY8THY3S/NMrNEnF8iumMdx2JOOL7LKVskVL+XEq5Gs3G7BS0cVAAd4r4u1gcDj9E0whVM+Kc3MrxfPckYiJjnNWH46h7KaXsQLOzAl3Q0rV9s9CE6lj74h5WW0jNobPhgPao9f9jJnTpUyfGfO/pCZIaWxjEdCoaVeb7UsovMuKgcqLTjIbwd6RfpIYUbcwnG9L1M1LKWPs1GvPPnxRCRKtZjym65vFe/fAOXVVqxajb6hhxEyVee/w5gQ1ILPYxYqeU0EldAqxTjLGEqvHiJ4vVrivRF/oblnSGlsvqZNWK0Qey400b6OG5Uekng5En0f6Rhzt9/xs0AScZbQXehIjlxDAGRr1nCSHy46Q5Ha2PS7RpZQNz4Iyj9QWIt/m2cd5YTm4NjrW5g+GlPno6eiLjmlH/IxmDlyRwdGlce1sM+x/DhUglI9s9mdteSSkb0RbdLEBbVetAs2eMnh6y1ivmdQhtSyWjzxxJvzgq91lqrEcbz9rRrm1Z4lwTR59m/W/98JYYwqgxvp81jqD6QWO087IE70TjeeyUUo5xsMvIe+cKvT8b751XpJTtMdIfSVsc/fFSTmwlxSNMYPVfjHzGSgUfMVbmEd9lREJ/NYw4QLsrKtwoqzQq/CI9fNs45dbr6VbGiS9mZIXWSYwsIT4/TvoTLOlvG+fcWYniY6S/Qy+3PkEaY6msZKy/nNmM+L353uHUDc3g0ChjHiP+Ss6Okz7R6sX/0cP7geoEdRFAZoxww6nifjQBbpTjUbSvJ4mmnTPaJO55JtD+xvnCjKz2i+lrDW0JdMSSbm2cdFaXEY/HSfMnPT6Ry4gx7lks6Qy/ZhFiuxKpZmSF1KRcRuj577K0y5il91Fp09B89hRawuKtIsxkxGXEnTHKSuQywuqs8xMx8lrdZCRyGXFZjLy5jLjKmKzLiMXEWYlpSXOSpY9Fuxgx/LYlWpVnuIwIA7PilD8RlxH/GiOvC80YXhLfF6DhW2ljrHIYebcY8TFXWTKyKOVtYq/Wm4jLiCWxyj7S+8z47yvDV2XcVcUx8kzEOaqbEcfj/xYVV8zIOHf3OOfKijo2naMmyGO49rg0TnzMMhjtMuLzMfLFdRlhSZPOiMeElYw4er42TvojaQvjPgwAU2OkP8tyPR+cn65EF2B54LYBC/Rwq2MxyVjnqF9HW+p8FaOda3rQfHUYg9D5UfmMiy+N06GCxHjRWNLVGzcyQRpD4DOWiXagO9GLk/6nlnrdi8VfF9pL5yw0p3yvxCsjTrl3MI7Qpad7iJGXtC0q7i5L3e7G4sRTr9vZaC/FMQ4jLekMfzFGe7QSw8u6njaR0JVt6TxtaFOiaZb4aWj2fVuBz8QoO5vR3oVfiJHG6hNpzI4Gk2x/6/nCsa7JkvYPUen+X4Jyr7PU8afogwDaoD9R56iJhC6rc9RmNHcKhnPUFWh+lw7LOapeRrKl/AjwGNo0i91y/iq06e+26PqS2Enp7ZZ2vJkRf2hTgT/rcWOco+pp/qLH16FNuQu0ceg8tEG+O8F5DaeZXrSvasNp5on6c3+4zlF/qZ/3l2hf99bnPQ/NHYPhtLGPqA9XRtw17CCGKxvLc2E4R93PaOeoZzNx56gBNMefhnPUSkaW049xjmopw3DXYvzmR8V/Nip+zItYT2d1jvp/RlugvYDvsOSP5U9sXKHrSO6zfv8eR3NZYnVVUsRInw0BlZN4NsYVuvR0hluidsYKm4YbDInWD2da4lxo/f1BtBXB1nzHTOiKaudBtPEuSQ+vYcQdzxjnqFFlGA6mjfdOXFcyR9gWVueoOxlxAmtH2/+yi+PhHHWcvIsYGdCMB9q6nc82ogYMRvyeGL8BRrvhl8TwD2KJK40R97olvgtNwKrH0hGZmND1+ah6xJTGLentwH1Rebz69ViFhDWTbNc7mJjQVc3Iy/7KqDiH/qCNV7eXE5T/5aj8cb8kGH8boEpgtyVNGO3r0hd1jnie8Ldb0nwnRvz/WuJjblExyXtgPV9dgnQ3RtX/rHHK/Z+oNojeBuiOGHkmJHTpaacyehugQY7CNkCW8p1own446jq6GOtH7mksPqAYfxugxy15g4zdBuhzCfqBNe0gI+PQRkb8uk1kG6BhRnaS8HL42wD9nNFtIdEG8OjnvQs4PUb+Qks9wvq9qydqCx20Fc2HLOUZW+AYxxPZBuh5/f9AVDsGgU8luMZPM/raoj/8yqOuNa5ggma7ZPQDw17Nug3Qb6LL1/NNVOg6rPvM6I8hqefxRoV9c5LPxkSFrjzLcxytRRRoO7pY6zGgt5u1b74Xle9YC10ZjN0GyLq11CBxZkssZVzE6Ov64zjpD6st9LzR2wBZZZjjsw3QBPIXoql/a/XK9gOb0ByrjnG6h2aM/Xm0AfZ9/YKDaIPKX7A4uYzKZzRKaYy4HLSvrgOMdjC30pKmPjosRjkeRlSVEjh1gm2wDE3Cr9fzD+v/P422KmnMlNk45d3BBIQuPa2hBXiP2Kr55Whfj9F1+xPwGRLvOZnD6BdpIhV+QqFLT5OCJqSsQRO4gvpDvhVNM7ecGAOrnte6t1Ysbcd1lvgbD+dZTnC+xxKkszo0NT3Wj1P22WiLM9oZ2TP0aWBFgnYzzpFQ6NLTZwO/QJvO9KMZa9+P9nU+rjPRCbZPDZofvy2We9mDNmD/DJgXI09cocuS5nLgFUaEuEN63xpTXlS+arQp3g79Ga/V+1HKeOdF++L9T7TpND/aUvnfoWntZnJ4QpcNzVbkh2haoya9bD+aFnANmkYwphd1vYz5aA5U2xgRQGLtDZiFtuJtB9pLbRDto+F24jubNYSu+9H67s1oY4hPb/tniNJcxSij0PJcxnROych0UssE2mwR2nuhWb/3nWjOZS9KkGdCQtfh3me0VYtfR+uvtWjvNz9a3/o9cMph9J0JCV162l/paZuIsROF/oz8Bs121qfXrRFtleXno58vjrHQpcc70Ly9v8XI/rAH9GspncA1JzNamRP3/h9JW1jyTUeTg1r0uu5Dc5abzsiOPBMSuoxpBYVCoVAoTIQQd6IJfQ9IKQ/XOatCobBwLF1GKBQKhUKhUCh0lNClUCgUCoVC8QGghC6FQqFQKBSKDwAldCkUCoVCoVB8AChDeoVCoVAoFIoPgMPd/kWhmAxKslcoFB8VjvoG5gqFgZpeVCgUCoVCofgAUEKXQqFQTBKfz0dnZyd+v5+NGzcSDAaPd5UUCsVHADW9qFAoFJMgHA7z9ttvs2nTJi666CLWrl3L3r17WbhwIY2NjXi9XhYuXMh7772HEIL58+ezbds2/H4/y5cvJzMz83hfgkKhOE4oTZdCoVCgaa9uv/127r777oTpbDYbxcXFVFdXU1xcTHp6OuXl5bzzzjs0NDQwZcoUduzYgZSS3t5eGhoaWLt2LfX19XR2dn5AV6NQKD6MKKFLoVAogGAwyEsvvcRbb72VMJ0QgpycHHp6emhpaWH69Onk5eVRUlJCRkYGu3fvpqysjEgkwsDAAB6Ph5qaGgoKCsjNzR1T3tDQEIODg0QiEbxeLy0tLaZmLBgM4vP5iEQiDA4OEgqF2LlzJzt27DhWzaBQKI4hanpRoVAoJkl+fj7XXnstNpuNyspKhBCUl5cjpSQSieBwOCgvLwfA4XBQWlqKlBKHY/SQG4lEeOGFF5gyZQppaWkcPHiQoqIi1q9fT2NjI+np6fT09FBQUEBbWxtFRUXk5OTQ3t5+PC5boVAcIUrTpVAoFFFIKQmFQgSDQUKhENH+DIUQpgAViUQIh8NIKbHZbCQlJSGEICkpiaSkJECbkhRCEAqFCIVCRCIRs8zCwkL27NlDX18f6enpOJ1OqqqqkFLS19eHEIL29nbsdjv9/f10d3fT1dVFKBT6YBtFoVAcMUrTpVAoFBYikQgvvvgijz/+OE1NTRQXF3PFFVewatUqkpOTAejv7+fll1/mlVdeYf/+/QBUVlZy5ZVXcsopp2Czad+zUkqampp48skneeONN+jr6yMzM5N58+Zx9dVXU15ezvTp05k+fTpZWVk0NzeTm5tLcXExUkrC4TD9/f3k5eXR3t6Ox+MhEAiQl5d33NpHoVAcPsojveKDQD1kig89fX19nHvuuXR2dpKbm8uCBQtIT09nzZo1tLS08NBDD3HmmWcihKCuro4bb7wRl8vFzJkzCQaDvPDCC/j9fv785z8ze/ZsALxeLzfddBNvv/02Z599Nrm5uTQ1NVFXV8d3v/tdzjjjDISYnC/OQDn+mCgAACAASURBVCCA3W7Hbrcfi2ZQKOeoimOI0nQpFAqFhe7ubu6++27OPvtsbDYbW7Zs4dJLL+Wll17ijDPOwG63M3XqVH7zm9+QlZWF0+kE4Mwzz+Tyyy/nrbfeMoWurq4uNmzYwIUXXsgPf/hDkpOTiUQi9Pb24na7Jy1wATz11FMsWrSIioqKo3rdCoXi2KOELoVC8bEgHA4TDoeJRCLYbDaklNjtdiKRCIBpYzVr1ixWrFhhapLKysooLCykvb2dQCCAy+XC4XBQWFjI8PAwvb29hMNhsrOzyczMpKuryzxnZmYmM2fO5O9//zvl5eWceeaZTJ06laysrFECl8/nY8uWLQwNDeFwOCgrKyMUCrF7924KCgqYN28e+/bt4+DBg7z33nvMnj2bnTt3cuDAAaqqqqiqqjosAU6hUHywKKFLoVB8LOjs7OTgwYOEw2GCwSCDg4Pk5eXR3d2N2+3mhBNOACAvLw+Xy2XmM4zmrcbvXq+XV155hVdffZWmpiaGhobo7++no6PDFOIAPB4P3//+9/nlL3/JXXfdxQMPPMDKlSu58sormT9/vmlo7/V6efbZZ0lKSiI3N5e6ujqWLFlCOBzmmWeeITk5meeff5758+fT3d1Nc3Mz69evZ+bMmTz44IP8x3/8Bx6P5wNsTYVCcTgooUuhUPzTMjQ0hJSS1NRUUlJS8Hg8JCUl4fP5yM3NJRKJUFRUhMvlMjVFxurDeASDQf73f//XnIL89Kc/TUFBAd3d3Xz9618fldZmszF79mx+9rOfsXv3bl588UWeeeYZXnnlFe66665RNl35+fnk5+eTnZ3N/v37eeeddwgEAnR3d9PR0YHD4WDFihVs376d9vZ26uvrKSoqMn2CKRSKDz9K6FIoFP+0bNq0iYGBAc4//3wyMjLIyMgYFS+EGKW9mgh9fX389a9/paKigh/84Afk5uYihGDz5s0EAoEx6YUQuN1uTj75ZObNm8eqVau49tpr+dvf/sapp55q2oQZbiWEEPj9fnbt2sVZZ53F1q1bcbvdBINBNm3aRFNTE3PmzKGiooKTTz6ZlJQUtbWQQvERQQldCoXiI0dXVxdr1qwhFAqxcuVKfD4ftbW1dHV1sWzZMiKRCGvXrqW5uZnKykr27NnDxo0bycvLY+nSpWzdupW+vj6CwSBnn302brd7wue22+2kpKTQ0dFBc3MzQgg6Ozt58MEHGRgYGJW2oaGBbdu2UVlZSWZmJpFIhLa2NkKhEB6Px3QtkZ6ezvLly02NXGFhIYFAgNbWVi644AKqqqpISUmhrq6Oc889lwULFlBUVMSePXsoKSk5qm2rUCiOHUroUigUHymklPzjH/9ASklGRgZ/+9vfKCwsZNOmTXz6058mOzubX/3qVyxevJj29nYGBgZ4/PHHmT59Oq+99houl4vXX3+duXPncuKJJ5q+tyZKRkYGV111Fd///vf57Gc/S35+Pn6/n1NOOcVctWjQ3t7Oj370I7xeLxkZGabD03nz5nHZZZeZDlbdbjeLFi1KeN7c3Fzmz59vHg8ODjJ79mxsNhv79u3D6XQSCARwu934fD4CgQDp6elEIhF8Ph+VlZWmDZlCoTg+KKFLoVB8pAiHw7S3t3Pqqafi8XjYuXMn2dnZVFdXU11djZSS7u5u5syZw8DAAE1NTTQ2NjJ9+nTmzZtHfn4+LpeLOXPmUFZWZpbrcrm45ZZbSEtLG3U+t9vNzTffTHp6OsnJydjtdi655BKqqqp4//33kVIyY8YMTjrpJE4//XRycnLMvHPmzOHee+9l7969eL1eHA4HBQUFVFdXU1JSgt/vJyUlZVLX7/V66evro76+Hp/PR2pqKna7neTkZILBICkpKfT39yOlpKuri3A4jBCCsrIy2tvbSU9PHzPNqlAoPhiUc1TFB4F6yBRHDSklL774IvX19TidTlJTU8nMzGRgYIBLLrkEgHvuuYecnBxqa2upqKigt7eXoqIiCgoKmDVrFo8++iiXXHIJpaWlcc8TDAb5xz/+wfz588nPz590PYPBIPv37yclJYVQKITP56OkpIT333+foaEhpkyZgtPpxOVy0draSmlpKS0tLQSDQWbPno3D4cDv99PS0sLUqVNNFxYvv/wyf/nLX/jmN79JUVGRaQsW3UYGhp2YlJKHHnqIhQsXjqtV+5ijfG8ojhlK06VQKD50tLW1MTAwQE9PD06nE6fTSTAYxOfzAZhhPp+PmTNnEg6Hsdls7Nixg5qaGq666iq2bt2K3W6noKCAwsJC3njjDVJTU0lOTmbmzJl0d3fT2dlJKBQiJSUFu91ulmuz2cjPz+f999+nsrKScDhMUlISg4ODeL1eMjMzmTJlCh0dHbS0tDB9+nR8Ph8ej4fOzk6ys7PZt28fL7/8srk60maz0dDQQCAQIDk5mVAoRH9/P/39/QwODjIwMMDu3bvJzc1l7ty5AOzbt48nnniCW265xbQ7M9qhoKCAlJSUCfvnklLyuc99bsym2wqF4oPDfscddxzvOij++bnjeFdA8dGira2NlpYW02Dd6XSSkZFBe3s7w8PDSCnJyckhNzcXwBS67HY7RUVFuN1upk+fTigUwuVyEQqFyMnJMYUul8vF8PCwuTF1f38/kUiE7u5u/H4/Ukqys7PZvHkzUkrWrl1LVlYWP/3pT7Hb7axZs4bs7GyeeuopfD4fb7zxBu+99x7hcJgnn3wSIQS9vb1kZGRQXl6Ox+PB4/GQkpJi7qHo9/vp6OggNzeX/Px8hBDs3buXnJwcysrKWLNmDT//+c9Zu3YtO3fuZPPmzcybN49Dhw6xbt06Ghsbeeyxx6itrWXOnDkkJyfT2trKfffdx2OPPcbu3buZMWMGaWlptLa28pOf/ITf/e53FBcXM2XKFAD8fj933XUXg4ODPPDAAzz33HOUl5eb7fox5T+PdwUU/7yoTx6FQvGho6ysbJS9FWjTZFOnTgU0rU08DY8QgjVr1uD1evnkJz85Ks7r9ZKSkpLQeL67u9u06/J6vfz+97/nm9/8JgUFBUyZMoWLL76Y3/72t2zcuJGcnByuvPJKfvrTnyKlZN++feTm5rJnzx7OOeccKioqzOk9gwULFpge8Y36AvT29tLS0mJuDzR37lxWrlwJwFe/+lUyMzNJT08HYPfu3VxwwQWsXLmSH/zgB0ybNo3Vq1dz5513kpubyw033MDTTz/N3XffzW233UZOTg7XXXcdt956Ky0tLWZdwuEwf//732loaOCKK65ASkleXh7Dw8PU1dWRlJTE/v37CQaDRCIR8vPzWbBggdKWKRSHieo5CoXiQ4GUknA4DGjCgMPhMIWTUCgEMGr1XSgUQkpppjPyhcNhWlpa6OrqMsMNrP6sIpHIKA2ZIfwYhvCBQACn08nKlSt5++23Oeecc0hJScHhcCCEID09nZaWFtra2hgeHmbOnDls3ryZZcuWsW7dOvLy8mIKJ9Y6hUIh89oyMjJGCYkFBQUUFxfj8XiorKwcZeBfXV3NxRdfTEZGBqeeeir79++nqamJzZs387nPfY7e3l7y8vJYs2YNPT09FBUVUVJSMmaRgNFml1xyCUuWLBl1L/Lz8wmHw8yZM8cUHI1pWIVCcXgooUuhUHwoaGlp4fe//z0ul4sDBw5w7bXXUlNTw8svv8yaNWuw2+1cfPHFLFiwgM2bN/Pss88yMDDAsmXLuOiii+jt7eX++++nv7+fgYEBc1sfK4ZgNTQ0xGOPPcZLL73EokWL+PKXv2wKZEYaIQSzZs3i5JNPZseOHTQ1NVFVVYXdbqe8vJwZM2awe/du/vCHP7B06VKqq6vp6uqiurqa1tZWIpEIfX19SClJS0szBRer0PXkk0/y6KOPEg6H+cxnPsN11103obbKzMw0hb+kpCT8fj9+vx+fz8e2bduor68H4IILLiA1NTVhWcbUrVUbJ4QYtQpToVAcHZTQpVAoPhT4/X5ef/11vvOd7/CpT30Kj8dDQ0MDTzzxBDfeeCMHDx7kkUceobq6mtLSUj7zmc/Q0tLCY489xqpVq3juuecQQnDTTTfxk5/8JOG5Dhw4wD333MOhQ4fYvHkzS5cuZfny5aPSNDc3s3jxYgoKCsY4ID3vvPMAqKqqMsM6OzvJzc2lvb2dOXPmsH//fmw2G0NDQyQlJeFyuUztlUFLSwubN28mFApx+umnj6mny+XC5/PR19eHzWYz3UvEmlotLCykoqKCM888k9NPP93UomVkZBAOhwkEAua+k4FA4LCmCA2toyHwKRSKyaGELoVC8aEhNzeXE0880bRdam5upra2lqefftp09jk8PMyWLVvMvQk7OjoIh8McOHCAxYsXU1JSwvz58/F6vQQCAdP+y5hKtNlsBINBc1ovFArR3NzMs88+O6ouO3fu5JxzzqGgoCBhnXt7e3njjTdITk42tUOGBqqwsBCfz4fX66Wnpyeh93gpJcPDw+b0XSQSobKyErvdzs0330xFRQU33XQTAMnJyaZNmDHll5WVxVe+8hUeffRRnnvuOaSUrFixgiuvvJKNGzfy4osvsmfPHgKBAC0tLVxxxRWmzy6Hw2G6tTBWbw4NDWG327Hb7QQCAXPxQWNjI1VVVfj9fsLhMG63W005KhQTRAldCoXiQ4PVPgsgKyuLyspKPvvZz5KWlobdbsdms/H0009z7bXX4nK52LVrFwB5eXk0NTUxMDBAQ0MDGRkZbNy4kWAwSHJyMl1dXeTm5pKamkpxcTHnnXcer732GgsWLCArK4sdO3ZQWVlpnlsIwcDAgKnZiceGDRv42te+xhlnnMF99903ym9WJBIhOzubcDiMz+fD7Xbj9/tJSkoaY28WCAR46623yMjIYHBwkOHhYdPeqqGhgdTUVDZu3Mjg4CDnnnsuoO0tecEFF+B2u7HZbKxcuZLZs2fT1dVFcnIyubm57N69m8LCQi699FIuvfRSs50zMjJwOp38+Mc/pqCggLa2Nl555RXS09MpLi42t02aNWsWGzZsYPbs2Xg8HrZv305xcTG///3vzT0loz3xKxSK2CihS6FQfChwOBxkZWWNmraaMWMGp556Kg8//DCpqanMnj2bs88+m1mzZvHSSy/hcrnIzc3FZrNx/vnnc8899/Dzn/+crq4uSkpKSE9Px+l0UlRUZJ5DSklqaip33HEH3d3dZGVl4XA4WLx4MRkZGQwPD5OUlMTs2bPZunUrPp8vrgd3KSXr1q2jv7+fUChEfX29ue2O4XvL7XYTCoXMRQJut5tZs2aNsZlKTk6mpKQEKaW5jU9eXh5FRUVUVFTgdDrp7u42vdq73W5eeOEFLrroInO7n3A4jJSSoqIiMjIy6OvrY//+/Zx66qlMmTLFFObcbjcpKSl4vV6SkpLo7e1l//79DA4O0t7eTkZGBjabjYqKChoaGujv76exsZFp06YxMDCAz+cjKSmJefPm0dbWpoQuhWKCKKFLoVB8KCgsLOTb3/72qG1xnE4n119/PW1tbYTDYbKzs0lNTeULX/gCnZ2d5hY4Ho+H7OxsbrvtNgYGBsjMzMRms5kG7NFaJdCM0a2rGQG2b9/O008/zaWXXsrw8LDpKiEeXq+XrVu3mmkKCwsJh8M0NzeTkpJCbm6u6SfMsO2K1uYZCCGorq4GNJcZAwMDeDwec+rO2MrH+B+gr6+PF198kWAwyGWXXUZdXR179uwhEolw4YUX0tPTw7p161iwYAFer5f77ruPadOmEQgEuPzyy3n66afx+/10dnZy2WWXMX36dNLT0+nu7janbEtKSpg5cyalpaX09vaSlpaGz+fj5JNPprCw0JwKVigU46OELoVC8aEgKSlpzHY7QgiSk5NN/1wGaWlpMd0f5ObmHpFjz5dffpni4mI6Ojpob2/H7XbjcrlippVScujQIfbs2WOGZWRkYLfbyc3NHeOHa7wt16zb9YBma3bo0CFgZIVhamrqKE2g0+nkE5/4BI2Njaxdu5ZNmzZRWVlJW1sbtbW1nHbaaeTm5hIKhQgGgzidTq6++mruuece6uvr6e7uZunSpezbt4+TTz4Z0FxI7Nq1C7fbTVFRESeccMIomy2l1VIoDh8ldCkUiuOKlJLnn3+e9evXk5GRwbXXXkthYeGoNPv37+cPf/iDOTV2zTXXmF7VDZqbm3n44YcZGhrivPPOY9myZWbc9u3b+dOf/mRO8VnxeDxcc801FBQUmCsmu7u7CYVClJWV4ff7cTqdSCnp7e2ltbWVgwcPsm/fPjZs2EBHRwcA77//PrfddlvMVX3l5eVcfvnl5lY+sbDb7QwPD/Pmm2/y7LPPsmPHDrq6uhBC4PF4qK6u5txzz2XVqlWkp6ebApoxdWmz2cjIyOCUU04hLy8v5gIAQ1PocDjweDx0d3ezZcsWzjrrLHPBgd1uZ/bs2XGFq6GhIV5//XVOPvlk8vLy4l6PQqEYixK6FArFcWf//v088MADpKSksHTpUgoKCkZpiDZt2sQvfvELQqEQ6enp1NTUjBG6duzYwS9/+Uv8fv8oR5+g7WH4q1/9ikAgMObcU6ZM4ROf+AQFBQVcdNFFvPDCCwSDQU488UQ6OztNQS0QCPDQQw/xyCOPMDAwwNDQEMFgcNQ13HvvvTGv77TTTmP16tXjCl333Xcf999/Px0dHWM0Y1u3buXFF1/kqquu4uabbyYrK4u8vDxee+01BgcHueqqqygrK2P9+vVkZWVxzjnnsGnTJvbs2cOLL77I/Pnzyc3NRQhBXl4eLS0t5ObmMnXqVF566SXKy8vJysqKWTefz8e6desIhUKsWLECn883yg4sMzOT5ORk6uvryc/PN91jtLW1EQgEaGpqYuHChQlXbyoUHweU0KVQKI4rQghmzpxJSkqKufLQqqUKBoNs27bNdPEwODjIrl27uOCCC0bZRu3atYtgMIjH46G0tHTUOWbPns0tt9xCV1eXqa3auHEjAwMDo9Lt3r2bLVu2cM0115jG4lbS0tJG+ebq6Ohg165dRCIRcnNzqampIRQKmS4WAoEAdrudmpoabDYbfr8fr9dLRkbGmK2IXn31Vd577z1CoRDLly83V1V2dXXx9ttvs3XrVnp7e3nkkUcoLy/n+uuv5ytf+QqhUIiBgQFzH8fVq1fT2tqK2+0mMzOTb33rW3i9Xmw2G6tXryYpKYmrr76aDRs2kJOTw7Rp09i3b1/C6c++vj46OjrYsWMHS5Yswel0IoSgsbGRnTt3UlhYyPTp02ltbaW+vp5FixaxefNmsrKyTEP94eHhiT0QCsU/MUroUigUx52ysjI8Hg/9/f3U1taa2wABDA8Ps23bNpxOJ6WlpdTW1lJbW4vP5zPtusLhMLW1tYRCIQoLC83VigaVlZV8/etfJxKJEIlEOHToENdddx07d+4cle7tt99m0aJFeL1eOjo6cLlcBINBNm3aRGpqKnPnzmX27NkEAgHKy8vZtGkT3/jGNxgaGmLRokXcd999vPnmm3R2dlJeXs6OHTvIycmhpKSEjRs3Ul5ezvr161m1atUoJ6kA69atw+PxcPvtt/OpT32K9PR0bDYbkUiE9vZ2/ud//off/va3+Hw+nnjiCVavXm3awDU3N7NlyxaklJSVlfHuu+9SVFREMBg0haNwOExRURGZmZmkpqayePFikpOT8fl8XHPNNaO0XF6vl4MHD1JSUkIkEqGlpYXGxkZcLhd1dXVs2rTJdMExY8YM2tvb8fl89Pf3M3XqVMrLy9m2bRuLFy+moaEBv99Pf3//UX9uFIqPGkroUigUxx1D49LY2Mju3btHCV3Nzc00NDTg8Xg455xzOHjwIHv27KGvr2/UxtQNDQ2AZj/V2trKtm3b8Hg89PX1YbfbSU5OxuPxkJWVhcvlirmCsKioiM2bN+N0OnE6nZx00kmAJtT19fUxNDREWloafX19pKSkjFppabfbcbvdJCUlUVZWRk9PD0IIU/hpaGgwfV3F23D785//PNdcc82oeLvdTnFxMV/60pd488032bt3LwcOHKCurs4UulJSUigrK2N4eJienh4yMzOJRCJ0dXXhdrtNAc9qEJ+amjpKo2jlnXfe4Rvf+Aa33347mZmZtLW1UVBQQGlpKU1NTRQVFZGdnW26nsjLy6O5uZklS5Ywf/58Nm/eTFVVFdnZ2Xg8HmpqasZoDRWKjyNK6FIoFMedzMxMysrKeOutt2hsbMTr9ZKXl4eUkrq6Ojo6OqipqWHx4sU88cQTtLa20tDQYNoI9fT0mCv95s2bZ/rJstvtDA4OApp/LMPlQbSxezAYxOfzsXr1aioqKujv76eqqorW1lYcDgcLFy4cU+d4bh9OPvlkM66zs9MUxKqrq8nMzGTOnDmjNtg2KC4u5tOf/jRJSUljVj4KISgpKeGEE05g79699Pf3097ebhq/T5s2zVzhKaVESmnuEWmsirSWNx7hcJihoSFSUlI46aST8Pl8pgsOv9/P3LlzTUe1kUiElJQUBgcH8Xg8pKSkcMoppzA8PGwuMjDcZgQCAYQQBINB8vLy1FZCio8dSuhSKBTHHbvdzgknnEBSUhIdHR20tbWRl5dHJBJh27Zt+P1+pk+fzuzZsykoKDCnGJcsWYIQgqamJrq6unA4HMyZM8d0f2AlEonQ29tLZmYm7e3to+L27dtHa2srLS0tXHXVVdhsNtPflrGiD7T9Ibds2cK0adNiGoUbPsEMJ6WG6wi73Y7L5TK3zTE2qbZSUVGB2+02vdLPmDHDXDgghMDpdJKdnQ1oRv2GjZRh6G+sZrTZbKbQZvxv9ZBvhFvzWrcestp2GZ7rrf7OjP+t6cLhsFlPI9/Q0BBbt27F4XCQnJyMzWbD7XYzMDDAwMAA55xzjhK6FB87lNClUCiOCZFIhD179lBUVITNZsPhcJCSkmIKAcZf4zdr1iycTic9PT00NzdTU1NDIBDgnXfewW63U1FRQU5ODlVVVWzfvp3du3cTCARwOp3U1tbi9/vNaUpD2wOMEhCiPd4bpKam8uabb/Luu+/S3d2NzWbDbrczf/78UVOIUkr6+/vp6+uLKXRFIhHWrl1LR0cHbreb9PR0QqEQ2dnZJCcn4/V66e/vJyMjgzlz5ozKW1ZWht1u59ChQ5SXl+Pz+Xj33XeZOnUq1dXVZp0MwuEw/f39bNiwwbTdCoVCFBcX097eTk1NDe+//z7Nzc2ce+65FBUV8eCDD9LW1sa//du/mXs6dnd3c/fdd5OWlsavf/1rurq6TM1eXV0dt99+O++++y4pKSmsXr2aSy65xFyFOTQ0xN/+9jeeeeYZOjo6mDZtGldccQWnnnoqHo+HhQsXkpSUZDqZdbvdBAIBs74KxccNJXQpFIpjQmtrK0899RQ33HADDQ0NTJ8+naGhIVpbWykvL2fv3r0UFBRQWVlpTpHl5uZSX1/Pnj17OPPMM+ns7GT//v0kJydzwgkn4HK5mDlzJkIIdu3axeDgIElJSdTW1hIMBk0j+r1799La2gpoWqFwOIzf7yclJYXKyspRghTAtGnTmDNnDr/+9a8566yzzI2xp0+fbgqKoAldycnJcW2yhBCsWLGCYDCI3W4nEomYGiLjf4CmpiZTa2Xg8XgIh8MUFxcza9YshoeHycrKorCwMK6AEgwG8fv9DA8Pmx7wvV4vw8PDphf87OxsXC6X6Wh27dq13HTTTQwODvLWW2/R1dVFY2MjFRUVvP7669TU1JjTsg8++CBLlizh/PPPZ+PGjdxyyy2kpKRw2WWXIaXkgQce4N5772X16tUsXbqUd999l5tuuolbb72Vyy67jKysLCKRyKjp1NTU1MN/qBSKjzhK6FIoFMcEt9tNZWUleXl57N27l+7ubjo7O8nMzKSlpYX169czd+5cysvLcTgc5OTkMHXqVOrr69m1axdSSg4ePEhraysZGRlUV1djt9upqqrC7XZTX19PR0cHSUlJHDx4ECkllZWVpKWlEQqFTCGrubmZ9PR0/H4/QghcLtcY9wiGzdSNN95ITk7OKCEnHA6bWw51d3eTkpIS09+XUY6xLY5VyBJCmMeRSMR0IWElKSnJnIIcHh7G4XBgt9tj2n8ZZGdns2DBAkATZowy+/r6cDqdrFy5koGBAXPBwaxZs+jv76etrY2uri4yMjJIT0+ntraWgoICGhsbueKKKwBNoFu+fDk//OEPSU1N5ZJLLqGuro5XX32Viy66iObmZn71q19xww03cPPNN5OUlMTAwADf/e53ue+++1i2bBnDw8O0t7czc+ZMQNtfMhgMYrPZTHca2dnZSuul+NighC6FQnFMMLRSUkrC4TA+n4/i4mKys7Ox2WycdNJJzJgxw5wyy8jIoLy8nDfffJMDBw4QCASora1lcHDQtOUCzfYpKyuLnp4e9u/fj9vtNo3oDQNvYzsgIYTpV8s6zdjc3ByzzrG2EJJSmpo0Y1Vl9J6N0Wm9Xi/d3d0IIcjNzcXhcJgaqeTkZBYuXDhqqtBgeHjYFOgGBgbo7OykoqIibhuHQiFCoRAul4uhoSE6OzvNLYMML/WZmZnmysGSkhKcTieHDh1i165dVFRUkJ2dzcaNG5kxYwbBYJDKykpaWlpwu90sW7bM1Ex5PB4KCwvp7e0lEomwf/9+Ojs7WbVqlVm+2+1m+fLlPP/886xduxabzUYwGKSnp4dQKMTw8LC5CXg4HMblcvHJT34yruZQofhnQwldCoXiqGLs8yelZObMmYTDYRYvXgxoBtaG4LNixQocDoep5bDZbNTU1OBwOOjo6KCrq4vt27cjhKCiogKPxwNAfn4+06ZNY926dezbt8/cK9HpdFJdXY2U0rQhMgQ+Y4rP6XTGFHYSYWyL09TUZGrYYq1cNDBW+OXn5yOlJDMzE5/PR15eHnV1daPszaIx6iyEICUlxZyWjEcgEGDPnj1kZmYyMDDAwYMHcTgco/aqnDp1KhkZGYCmGcvLy+PAgQNs5fSrvQAAIABJREFU3ryZpUuXkpeXx29+8xv27dtHWlqa6a3eMKI3sE6Tgual3m63j5qqFUKY+0MaG3YbU5vGdSUlJWGz2SguLjYFWYXi44ISuhQKxVFl3759eL1eBgcHsdlsdHd3MzQ0hNPpJDU1lVAoRE5ODrNmzTIFKQPDmL67u5vm5mZ2796Nw+HgxBNPNP12paWlccIJJ/DWW2+xZ88eSkpKGBoaIjc3l2nTptHe3k5tba0pfPX39+NwOMjKymLWrFmT3hC7p6eHuro6WlpaAEz/XLGmxAzbtGnTpo0JBygsLCQQCMT1WZWUlMSUKVNIS0ujq6uL4eHhhFNvLpfLNHqXUjJnzhw6OjooLi4mHA7T1dU1ahNxt9tNVVUV7777Ls3NzcyePZuMjAy8Xi8bNmxgypQpppNUq6uJWBjltra2Mm/ePADTkarNZjO3/XE6nQCmRs6YXrTb7UgpzXiF4uOAEroUCsVRxe1243A4KCwspLOzc5QjUsNGKTs7e5QWxaCkpIS8vDwaGxupra2ltbWV1NTUUSv9nE4nM2fOJDk52dR0BQIBioqKTE/0lZWVZGRkjFopabgumCwul4vMzExz5Z0QwrSRSkpKMgWTQCAwyj1DLIx88TCmJ4uKikz7sETlWW3IjPwej8d0FZGRkTEqvxCCOXPmcO+995KcnExpaampmdq4cSOrV682hdvxqK6u5qSTTuLRRx+lurqarKwsGhsb+fOf/8zChQuZMWNG3GlYheLjihK6FArFUcXYiFoIYU5zRft1iidIGBsw19XV8e6779LZ2cm0adNGbW4thKC6upr09HRaWlrYsWMHwWCQmTNn4nK5SE5OJjMz86gZZzudToaHhzl48CDTp0+npqbGLDs7O9vUWh06dIienh7y8vIO+1xCCNxutykkAgn3RIyV32q8H6sNZs6cyaFDh1iwYIFpb1ZWVsYLL7zArbfeOuFzeTwe7rjjDv793/+d66+/npycHNra2vB4PHz72982herOzk56enro6ekx95y02+1kZGSYNmcKxccFJXQpFIojIhwOs3XrVl577TUGBwcpKyvjkksuwWaz8cILL7Bjxw7sdjvLly9n2bJltLS08Nprr+Fyudi1axd5eXlcfPHF5OXlkZaWRkVFBW+88Qavv/46g4ODlJeXjxFkpk+fbmrE3nnnHaSUpj2YVdAwbLr8fj/BYNC0N2tpaTEN1sPhMK2trabBucPhICkpieTkZJKSkohEIrS1tTEwMMDWrVvJy8szjfqnTJnClClT6OvrY9++fTz88MNcf/31ptBnuHQQQpCZmZnQFsyor9PpNB2sGo5UJ4qUko6ODnbv3o3P56OwsJCqqqpRbhoqKir4wQ9+QGlpKcnJyQgh+NKXvkQwGDSdxlZVVfG9732P6upqM5/D4eDaa69FSmlq+JYsWcLDDz/M+vXr6e7uprCwkEWLFtHa2sozzzzDBRdcwODgII2NjfT09JCSkmK2cX5+PikpKaSnpxOJRAiFQqYTVYXinxUldCkUiiPinXfe4c4772TVqlXMmDHDXDUXDAbp7e2lpqaGlpYW/uu//osHHniAnp4e7r77bs455xxOPPFEnnrqKYLBIF/+8pdNj/J2u50DBw5gs9mYO3fumGlBj8dDZWWlKVwY7imiX9iRSIRnn32Wp59+mqGhIXw+H0NDQwwMDJh7NXZ0dPCv//qvZGZm4nK5zN9JJ53ETTfdRFJSEgUFBQwPD5Ofnz+qLoWFhVx44YXs27cPv9/PL37xC1599VWmTJmCEIKhoSG8Xi/z58/nO9/5zrg+qlJTU8nKykJKSSQSoaenZ1KG5l6vl+eee476+noikQhOp5PTTjuN5cuXmwsIPB4P119//ah8S5YsYf369Rw4cADQjO+vu+66UWnsdjvnn3/+qDCbzUZpaSmlpaWjwt944w02bNjAeeedR0lJCQUFBWOc1dpsNoQQBAIBOjo6zM3KXS7XhK9XofiooYQuhUJx2EQiEV566SVmzZrF5z//eXPfQGPbmgsvvJCOjg4KCgp48skn6enpAbS9Fq+55hoqKyvp7+9n27ZtBINBHA4HJ5xwAk6nk8HBQXPT6ehpMrfbTXV1Nc8//zyRSMT0RB+dLhKJsHPnTv7617/GvYZQKER9ff2YcJ/Px1e/+lXsdjsHDx7k4MGDZGZmjjL+dzgc3HDDDbS3t/PHP/4Rr9fL+vXrx5SVlZU1IeHJEFSnTJnCwMCA6dh1IkgpaWtro6GhwVxh6Pf72b59O4FAwNxWyePxmC4h/H4/NTU1pjAYDodNAXLatGmmvdjw8DANDQ34/X6mTJmCx+NBCEE4HKapqYmenh5yc3PN3QesRCIRGhoaKCgoICMjg6GhIbOs7Oxs8vPzcblc/5+98w6O867z/2t70RZpi1arYvVqy3KP7Ti2E9fE6SEJAUINOY5ycwHCQA6Oy3BHuAZ3HAd34UjguIEEsEmIEydO7LjGPS6yrGJVq1rSrrS97/7+0Dzf01qSnQDHj5jnNZOJtdp99tlnNfO851Peb1EBk5G5npH/wmVkZH5rpDzDkpIS0XKShE9rayvf+ta3KCwsxGQyEQgESKfTKJVKcnNzxZC4Xq/PyvxraGjghz/8IbFYDI1GM2fY9EMPPURjYyPpdBqz2TxjYxCmqjP33XcfCxYsYGBggP7+flauXEkkEkGr1YqMxMuXL6NQKHC73USjUaLRqNikVCqV1NTUEIlEZo3+sdvtfP3rX2fr1q28+eabtLe309vbK86pvLyc9evXz1rB2bZtGxUVFcJeIxKJ0NnZKRYHIpFIVo7iww8/zJo1awBmzZeMx+Mkk8msxyKRCD6fj2QyiVKpZHh4GK1WK74PSdRlMhn279/P2NgYExMTlJSU8MQTT6BWq/m3f/s3Wltb0el0ZDIZvvKVr1BRUcGLL77I888/j81mw+/38+EPf5hNmzZlnc+OHTt4++23+dKXvoRareapp55iaGgIjUaDyWTiS1/6EgqFgsnJSXQ63btqp8rIvNeQRZeMjMxvjUqlYt68ebS1tYlMQSkCZ/fu3eTk5PD1r3+doaGhrGrT1YbcLRYLa9euJZPJYDabOX36NC0tLUJsAHR3dzMyMsKdd94541gvv/wy8+fPp6ysDKVSSUNDAw0NDXg8Ho4fP05DQwNnzpwhLy9PGJYWFRXR09PDmjVr6O3tpbu7O+v9qqqqqKioEC2x6UgbhBs2bGD9+vUkEgn27dtHeXm5yFOcy1W+trY2a24qFouxadMmYR5aXFwsRIhSqWTRokUsWrRozmtnMpnQ6/UiDBumNkJvu+02dDodyWSSycnJLNd9Ka4onU7jcrl46qmn8Pl8fPGLX+TEiROoVCrOnTvHt771LZxOJ9/5znf4yU9+wqc//Wl+9KMf8cQTT7B06VL279/Ps88+y5IlS4ApEfeLX/yCt99+my9+8YsUFRUxMjLC6dOneeyxx1i9ejXxeByj0Yjf75+xbCEjcz0iiy4ZGZnfGoVCwd13382TTz7JZz7zGfLy8jCZTDz++OM0NTWxc+dO/uZv/oZQKCSsCaTXzbVlFwwG+elPf0o6nWbdunWMjo7S0dGBVquloqKCnJwcLl26JFpf/f39+Hw+4vE4dXV19Pb2UlxczNDQkBjYzmQy+P1+PB4P4+PjKJVKPB4PSqWSZDJJKBQSc0WpVIoDBw7Q19fHokWLWLlyJb/+9a+ZmJjglltuwWw28+abbxIOh2lqaqKrq4vLly9jNBpZsGABJSUl7Nu3j6qqKlQqFfv37+fo0aOUl5eLY0k5kffeey+7d+/m4sWLNDU1sXXrVkpLS4GprUmbzSb8rKRrNRuS4WpBQQGLFy/mzJkzJBIJ8vPzWblypbj2KpVKLAFceSyVSkVtba3YMCwuLqa3t5dUKkVJSQkulwu9Xs8NN9zA9773PYaHh0kmk9TV1aHX61mwYAETExN4vV4Ajh8/zltvvcWTTz5JeXk5CoUCp9PJhz70IX7wgx+wfft2PvKRj7BkyRJSqZRc5ZL5k0AWXTIyMr8TxcXFfPvb36arqwu/3y9mhZRKJU899RSRSASr1YrRaMRoNKJWq3n88cfFsH1BQQGf+MQnyGQyhMNh0bLMyckRoujcuXNYLBYOHz7MI488Qn9/P7FYjGXLlvHjH/9Y2BAMDg4C0NPTw65du3jooYeYnJwkHA4TCoWorKzEYrEQj8fJzc0VW41ms5mGhgZhc1BQUMBHP/pRfvCDHxAIBOjp6aG8vJxf//rXbNiwgdHRUT772c8Si8U4cuQIFosFu91Oc3MzGzZsoKKigmAwiMfjEef80ksvcfToUQYHB/nCF77AM888w6FDh9i/fz/r169n+/btrFixAofDQSaToaOjgyNHjrBp0yZUKhWpVAq32y3agdJjkvv7jh07uOOOO9iyZQvLli0jkUhgtVpFGzcajRIOh4V3l9Tik0RYOp3G7/eTyWRIJpNiQQGm5tuSySSZTIaJiQmxdAD/2wINBoNZXmglJSXcdNNN/PznP6e+vp6ysjJUKhUPPvggmzZtYu/evXz5y1/m29/+toiGisfj8lyXzHWN/NctIyPzO6FQKLBYLCxevJijR4/S2dmJx+Oht7dX5PV1dXXhcDg4d+4ceXl56HQ6Ojs7WbVqFX6/n8bGRo4cOUI0GmXz5s3CJqKhoYH+/n7Wrl3Lrbfeyn/8x3+IWKCOjg5gaqh+3bp1KBQKTpw4QSwW46c//Smf/vSnKSws5NSpUyIA2+/3093djdPpzBqeNxqNzJ8/XwyIl5eXC4sHSUjW1NSwcuVKfD4fRUVFWK1WJiYmyMnJwWaziQH16UitVqvVislkIhQKUVRUhM1mQ6/X4/P50Gg02O12Hn30UWGeGolEeP3110mlUmi1Wo4dO4bL5cLv93Pw4EF0Oh233HILb731FolEgve///1CRGo0GgoKCmZ8TwMDA3zve9+jsrKSJUuW8MYbbwDwiU98QpjKnjp1it/85jf4/X6Gh4dZsmQJOp2Ol19+mV/96lcUFRWxY8cO7r33XsrLy2loaOCZZ55h3bp17N69m4ULF4pjFRYW8uEPf5hkMsm//Mu/8LWvfU3MjTmdTiHAo9GoaG++24gmGZn3GrLokpGR+b0RjUZFpUQaPg+FQqjVakKhEAaDgeLiYrGpGIlEmJiYwOPxEIlEiMViZDIZjEYjY2Nj+Hw+sQkpEY/HhfVDJBJBpVKh1WpF3qNSqeSee+7h2LFjNDY2itBtlUolnp9Op2lra8Nut5Ofn08qlRIRRQqFArVaLQTPokWL2Lt3r9j40+l0opojnZtGoxHeXm1tbXR2dqJSqdi0aRP5+fn87Gc/w+fzsWrVKk6fPi1eV1lZSX9/P8PDw9jtdnFco9HIokWL0Ov12O127HY7fr8fmJovGx8fp7Ozk2g0SktLC/fddx+xWOyqrvjpdJqamhpKSkp44403aGpqwmg00t/fT2FhIY2NjRQVFdHa2srExASf//znqa6uRqFQ8OUvf5kdO3Zw/vx57r//fm699Va0Wi1f+cpX+PnPf86LL75IZWUlDzzwAHq9ntLSUhH78/GPf5xnn32WixcvUltbS19fHwcPHkSr1fKFL3yBpqYmhoeH0el0vzdDWxmZP1YU8uCizB8A+Y/sT4Rjx46JbT8pHFmpVAqndq/Xi1arFTdYhUKB1+sVLbB0Oo3FYsHj8bBjxw6qqqooLCwkHA5TX18vZqVef/11/H4/t9xyC36/n/nz55NKpejp6SGVSlFTU8PQ0BCZTIaVK1fOOM9MJkMsFuP06dPYbDYhDpVKJZFIRHhcRaNR1q9fz9jYGF6vF7fbLQbVbTYbqVQKr9eLWq1GpVIRjUZJJpOMj4+jUqkoKSlBqVTS39+P3W7HarXi9/txOByMjY2JMOzBwUHy8vIoKioSwuPixYui/bd7927i8Tj19fVotVoxeN7T04NCoeDGG29k586d1NbWsnr16lkrRl6vl5/97GdMTEwQj8cxm80olUpuu+02GhoaRFZjJpPJGsSX7hFqtRq73f5799GKxWIMDg6i0+nIz8//Y5jrkpWfzP8ZsuiS+UMg/5H9iRCJRISj+3uBwcFB4eJutVoZHR0VM0XS4PdsVhTvRdLpNF1dXfT19YlAbbfbTWNjIxqNhnA4zNGjR9FoNHi9XiwWC8PDw2g0GlQqFaWlpSxYsOD3HlCdTCa5fPmyyM/U6/W/1+P/FsiiS+b/DFl0yfwhkP/IriOkKlEsFgNAq9Wi1+uFWebExAQDAwOEw2F0Oh0FBQUzKhhSC3JsbIzh4WGi0Sh6vZ78/Hzh+i5VfNLptJi/kny11Go1iUSCsrKyLBEgVWmkTcVgMEgikRDtPKvVit1ux2QyzYgMkl4P2VmR0r+lYXIJpVJJTk4OCoUCn8+HWq0WLcrp1hJerxePx0NNTY14D+n3iUSCcDicdQ56vf6qwiaTyRCJREgkEu/o+9LpdOh0OsbGxviv//ovTCYTKpVKuOlLIjOZTBIMBkVYdiaT4eLFi9jtdpxOJ1qtNut7kZ4TjUbx+Xx4vV6CwaBo0er1eqxWKzabbc7rLX2nk5OThEIhHA7HNV37/wDIokvm/wx5pktGRuZdkU6nOX78OCdOnACgvr6ejRs3olQqOXfuHIcPH8bj8ZBMJlGpVJhMJpqamli9ejUmk0kImKNHj3LmzBl8Ph+pVEqIlrq6OtauXZvlen7hwgXR8rJarWImrKioSBh2+v1+Ojo6aGtrY2RkRAiTdDot7BK0Wi1ms5mysjLmz5+fZeoKUwJAElYKhUIIiFQqxbFjxzh79qy4Dlarlbvvvpvc3FzefPNN3G43BQUFtLe3U11dLdzkc3Nz6erqwmKxiLZgVVUVSqWStrY29uzZIzYS1Wo1W7duzfLumo0DBw7Q0tLyjr6v5cuXc9NNNxEKhbDZbNx///3odDrhHwZTFUrJtFYik8mwZMmSWb3JMpkMPp+PtrY22traGB0dJRqNznq9LRYL5eXlzJ8/n+Li4lnFl1qtxmw2z4h7kpG53pBFl4yMzLtCEk2SH5Nk39Db28vu3bsJBALiuZIZ5+HDh0mlUmzcuJFUKsXBgwc5evRoVrUmmUzi9/s5ceIE0WiUO++8E4PBgFqt5uabb84SJlLMjVRZ6uzs5PDhw/T3989aAZIqa5IVwuXLl7lw4QILFy5k5cqV5OXloVAoGB8fp6WlBZfLRSgUEsP6drtdPCZV+Hw+Hz09PSxduhSTyYTFYmFycpK8vDyUSiXt7e2kUikWLVpEJBJBoVBw7NgxGhoahF1GS0sLY2Nj4jydTif5+fnXvP7BYFBc/2shVdKMRiOtra185zvfwWQyiY1NjUbDwMAAy5YtE9U4QAinK0kmk1y8eJGDBw8yODg4wwF/ruvd0tLC4sWLWblypZjhy2QyeDwe0uk0sVgMvV4vW0bIXNfIf90yMjK/E36/n6GhIQ4fPkwgEEChUKBUKrMyA5PJJGfOnKG6uppwOMzJkydF208auJfaeZlMhgsXLtDQ0EBjYyMKhUL4RV1JIpHg9OnT7Nu3D5/PN+P3knDIZDIzMgwDgQBHjhxhbGyMLVu24HK5MJlMwslep9MJWwfJ78rpdDIwMABMVcXa29tpbGyksrKS4eFhioqKUKlUGI1GDAYDJpMJhUJBfn4+SqUSvV4vMiI9Ho8I3ZaorKzEarWK41+6dIlkMsnExAShUIiqqiqKi4sxGAzCtV4ydL3WqIjdbueJJ54Q10H6DiRD23di15BIJDh16hT79+8X25SzXW/JAkJCqkQeOnQIr9fL1q1bxec0Go2oVCpisZgsuGSue+S/cBkZmd+JcDjMoUOHuHz5MuXl5dTX12M0Gunr6xPO6AChUIgTJ04QCoWIRqMUFhayYMECrFYrY2NjvP322+JGnkwmaW5upqGhYU4xkEqlaG5uZs+ePQSDQfG4UqkkPz9feH1J2Y6hUIjBwUF6e3uFCWg6nebixYukUinuuusubDYblZWVWe9TXFwMTLVVq6qqxPA9THlfjY+PYzAYiMViHDt2DLfbLWwnzGaziAPyer0sX75cmJ92dnZmnbdOpxNVMPhfO4pEIoHBYMBgMIgh89WrVzN//nwxWyfFGfl8Ps6cOUMkEsn6DOPj46RSKdHKhalszE996lOMjo5SVlZ2zQpbKpXi7Nmz7N27l1AoJB7XarUUFRUxb9488vLy0Gq1JJNJAoEA/f39XLp0SVTbUqkU58+fR6VScfvtt4vPND4+LqxCZGSuZ2TRJSMjMydSm0ilUgkxcCXxeJyenh4qKyu54447sNlsKBQKGhoaUCgUHD9+XByrra2NdDpNUVERd955pxAokk/W7t27Rbvq8uXLBINBURG58rwGBwfZv39/lnAxGAysWrWKmpoacnJyROah5NNVV1eHz+fj+PHjXLhwQVSIuru72bdvH7fffvuMIXZp/kipVFJdXc3JkyfFewaDQTo7O1m2bBkLFiwQ9hfBYJDx8fEsIWOz2bDZbMCUUJXEnkRBQUFWoLZSqRRGo9PPI5FIkEgkcLlcwjaisLAQu92O1+ulo6Njhujq7+9ncHCQt956S4jI/v5++vr62LVrlzBY1el0WW1cafkhk8nQ39/P/v37swSX0+lk/fr1VFVVYTAYxPyXNGQfi8Xo6+vjzTffFBXCTCbD+fPnKS4uZuXKlaTTaTE7N706JiNzPSKLLhkZmasyPDxMc3Mzbreburq6WYedtVotS5cuxWg0Eo1GRXtuyZIlNDc3CxGQTCbRaDQsW7aMwsJCISTUajW1tbUcO3YMj8cDTLX/5hJdUlVJeq50Dhs2bGDZsmW8/vrreDweCgoKUCgUmEwmgsEgGo2GiooKtm3bhkaj4cyZM6K12dzcTHV1tWhpTm95JhIJdDodLpeL4uJi2tragCkB0d7ezvLly8WGZk9PD2azGZfLJTY5r7SeGBkZmeFeX19fP6fgm04wGOTkyZPU1dXhdrsJBoNiYH8uYdzU1CSG2UtKSgDYt28fRqORpUuXcu7cORQKBW1tbXR0dKDT6VixYoWICJLijiYmJsQxbTYb27Ztw2KxkEqlxHlILWPJYLasrIzbb7+d7du3i/m1ZDLJsWPHqKurw2KxYLVaxVaqjMz1jPwXLiMjc1VUKhXBYJD+/n4ikQg33HDDjOeYzWZyc3N56aWXhP3Dvffei8PhIDc3N6vyIm2zXSkoTCYTubm5QkglEomsqsp0BgYGuHjxYtYc0/z581m8eDFqtZpFixaJGSHJMkHKCDQajZhMJtauXcvw8LAQP4lEgmPHjlFdXY3BYGBsbIy9e/eKeJ3169djtVqpqamhs7MzqyI3NDREVVUV8XgclUrF5cuXUalUqNVqJicns7YC0+n0jGqUyWSipqZGVP0uX75MYWEhmUwGr9eLyWQSgkyKzlGr1fT19REIBMQs2VxIIljaLFSr1ZSXl+NwOLDb7VRWVgprh0gkgsPhIC8vT7y+r6+P7u5ucb2VSiVr1qzBYDDw8ssv43Q6CYVCwlLC6XSSTqcZGxujsbGRqqoqli5dKqKNADweDx0dHTQ1NREKhcR5ycJL5npG/uuWkZG5KhaLhW3bthEKheacucnLy8PpdNLY2ChaiDBVfbJarVlVHbvdPutgvEajyXI7l7YkrySZTNLR0ZElyKSKjeR0LwkW+N9qkVRNkR6z2+00NjYyOjoqhMDAwAADAwNUV1cLL7DW1lYKCgpEC6yiooLc3FzGx8eBqSpQW1sbFRUV5Ofn43Q6Zwy1TxeYgUCArq6urOeUlZVht9vFZ96+fTuf+cxnSCaT7Nq1izVr1lBWViaOJc12Wa1W0ul0ln/WXPT39/Ptb3+bdevWcfvtt/PSSy9x0003iVDxaDRKSUkJgUCAjo4OtmzZQn5+Pslkkra2tqzvIj8/n4aGBjQaDRs3bgSm5sYuX75MOp3GbDbjcDioqqoSFbiamhqOHj3K5OQkMCU+29vbWbx4sbD9+H0br8rI/LEhiy4ZGZk56enp4eDBg6jVamKxGB//+MdntQiwWCyoVCqqqqqw2WyEw2FReblSYFksFnGTlZBaUlc62U/3fZJERTgcpq+vL+t5BQUFopU4/ZhXEo/HmZycFNuE1dXVHD16NGuAv6Ojg6qqKkwmE7W1tVRVVVFSUiIqP3l5eVRUVAjRBdDZ2Ynf779qiw+mhOSlS5eyXqtSqWhsbESlUpFKpdi+fTsvvfQSAwMDZDIZXC5XVtVJqqapVCoSiQRjY2NiVuxqZDIZbrnlFvLz83n22WcZGhrC7Xbz8ssvo1AouPfee4Wgm+4KHwwGZ2xZVlRUiK3DefPmkclkRKamtMEobY1KWCwWbDabEF0wVe0KhUKiEihnL8pc78iiS0ZGZk4KCwu5//77icfjoj03GwaDAa/Xy969e1Gr1YyPj/PJT35StNgkFAqFmPs6d+4cbrcbt9stKjVXtsgkD654PE51dTU6nY7JycmsGzcgMg5bW1upqqoiHA4zPj6O3W6npaUFq9VKeXk5e/fu5eDBg9x5550sW7aM3NzcrDBpmKp2JRIJfD4f3d3dVFRUYLfbxblJ82fnzp0Thq1er5e+vr6sNuJsSKIuHo+LxxwOh7CRUKvVPPDAA+Tn57Nq1SphlyHZMMBURdBisaDVasnJyaGvr+8dDaA7nU4WLVpETU0NpaWlHDx4EIfDwUc+8hG8Xq9YOgiHw9hsNsxmMzAljK604ygsLMwSl5IovtpMmk6nmyHAg8Eg4XA4S1TKyFzPyKJLRkZmTnQ6HWfPnuXIkSMsXLiQgoKCWZ+n1Wqx2WzcfffdhEIhQqGQEClX3pylSJpDhw5RVFTEli1brlqpUSgUwhZBEl3TRYvUKlSr1ezatYvbb7+dnp4eAoEA4+PjaLVaBgYG2Lx5s6iaSWHPWq12hlAKBALDEfPRAAAgAElEQVSEQiFMJhOFhYXEYrEZHl/FxcUUFBSIeKJ0Ok1LSwsLFiy46kySJM6mU1tbi8lkEj/r9Xqqqqp47rnnSCQSrFy5EovFQjgcJhwOU1VVRTKZJJFI0NnZSSqVynr9XFitVi5dusQLL7xAJpPBarXS3NzM+fPn8Xg8bNmyBafTKWbNJicnMRgMeDyeLMNZpVLJ2NgYzc3N13zPK5lunAuItqaMzJ8KsuiSkZG5Knq9XtgUzIVKpUKj0dDX18eFCxfIZDKzDndL1Syn00lDQwN6vX5O41PIzhm0WCxkMhlCoVDWuWg0GlENWr58OadOneLy5cvccccdPPnkk9TV1YltxNLSUoaGhli4cKGowkgGplIVLxqNEolECAaD5OTkMDQ0RCgUEpUfmGqZVldXc+nSJVFlktqGcwnTTCZDT09PVtXIaDRSW1ubVRGKxWK89NJLrF69Gr1ez969e2lqaiIcDlNYWChaf7FYDKfTOWem4ZUMDw/z6quvMjIyQmVlJYFAgMWLF7NmzRqi0ShWq1WYwCYSCTEDJ20lSqTTafbv33/N93snSJYkMjJ/Ksw9fCAjIyPDlCi5++67sywPrkSqZmm1WnQ6nRAysyG5sQeDQdRq9TWd1CU7BIl4PJ71GknwwZQ1wtmzZ9Hr9RQVFdHQ0MDatWv5wAc+QFNTE3q9nkAgwPDwsBASUli3RCKREN5kGo0Gp9MpNhLPnz8vKlXV1dVZQiwYDM7YqJxONBrl4sWLWSKjqKhoxiwaTIkRjUaDRqNBpVJRVFSE1WrNcp5Xq9UolUrhVn8tkskk5eXlLF68mNraWjFA39HRgUaj4dSpU/T09DA6OopGoxGWGdFo9Jrf0e+C7M0l86eEXOmSkZGZk2QyyZEjR8Q8Tnl5+azPk0RDSUkJVqsVvV4/Y5B6Ou9EbElIJpvSv6+8SUtD+JlMhpycHHJzc1m0aBE6nY7777+fAwcOMDAwwJYtW5g3bx5VVVUcOXKEW2+9FaPROGPwXRIbUlC1NGt1/PhxxsbGqKioYN68eTidTkpKSrIqV62trSxfvjxrEF1idHSUwcFB8bNSqaS+vp7BwUHhdi+1Xzdv3syrr75KMplk5cqVqNVqkbcovWcymUSr1Ypg6WvhcrlYuHAhPp+PV199lYULFxIIBLhw4YLIz/R4PGi1WlE9my0+STr338fQuzRHJiPzp4IsumRkZOZErVazbt06lErlO7rRKpXKrKrUXMJKaiuGQqFrVjqkXD74X4E1HUmIJRIJ9uzZg9lsZsGCBSgUCiorK2fE+tx7771ZP18pKqTjt7e3c/HiRerq6lCr1SxcuBCNRiOGxTUaDXV1dbS3t4t2p2R6eqU4TaVSdHV1ZVWkcnNzKS8vp6+vj2g0SmVlpRA6Xq8XpVKJSqXi4sWLVFdXo1KpyMvLQ6PRCC+viooKotHoO6oWhcNh9uzZI2KSYGogvqKiQlS06urqhG2HVJG78jvXarWsWLFiVtNa6X3OnTvH0qVLZ2yjXkl7e/usj6fTac6cOUNXVxfbtm2T44Fkrhtk0SUjIyPwer0kk0mxrRcMBhkcHGRkZIRQKMT73ve+WV8Xi8Xo7OxEoVAwb968a1ZegsGgqGDF4/Gr3lRDoZCIlQHEpqP0cyqVIpFICFPU1atXX3VObLZzny4OJYNOnU5HVVUVWq2WRCJBd3c3Lpcrqx0o+WuNjIyIY7W2tlJaWpolDsPhMJ2dnVniqKKigry8PMbGxrKOGYvFeOutt7jjjjswm82oVCqi0SiBQEAIHYVCgUajQa/XE4/HhSi9GolEgtHRUYqLi9Hr9RgMBrGkEI1GueWWW5iYmODtt9/GbrdTUFAglg2mo1KpaGhooLS0NOvxdDrN+Pg4IyMjRCIRGhsbiUQiwixVytxMpVK4XC5isRiTk5Piu49Go4yPj2M0GsnNzcXhcLBjxw7Wr18viy6Z6wZZdMnIyAguXbpENBolLy8PlUqFwWDAZrNhtVqzbBWuJJFI0NLSglqtxmq1YjQar3qjtFgs5OTk4HK5suaiZmO6gJIifTQajdhgTCQShMNhFApFVlYhwNjYGL29vdTX18+64ScFYU8XXZIg0Wq1QoSGw2EMBgNtbW3iHGBqI7CyspLLly+LY3R1dREMBrFYLMBUJW5oaIjR0VHxHjqdTlTQwuEwAwMDFBUViUpeOp3m7bffxu12i/k0jUYj3iMUChGJRIjFYni93nfUqpU8zySfNKPRyPDwMMFgEL/fTzQapba2luLi4qzPKC0pSBXB6fYh06tgPT09PP/88+h0OrxeLx6PhxMnTjAwMMDatWt56623SKVSxONxNm7cSFFREQcOHKCoqAi3282uXbsYGRkhFotx3333kZub+67Es4zMewF5kF5GRkbgcDiIx+OiIiO19lpbW6/6ukwmg8ViYd68eZw8eZJjx45dtfoiHff48eOcOXNmzg22TCZDPB7P8nHKy8vL8oPKZDJ4PJ5ZW2zpdBqfz5dlMTGdaDQ6w/PLZDJhNBoxm82iGmc2mzEajaTTaSYnJ7PicOrq6rJmuDweD/39/eLnVCpFT09PVuyPy+USIksaWp9+bRYvXiyc6yVRNTExQX9/P5lMhvz8fOFvZjQar9nGkz5XcXExExMTjI2NMTk5icvlYsGCBRiNRnJycujt7eXkyZPs3LkTj8eDQqHAZrNlHT+VSjE+Pp4l9DKZDK2trVRWVnL33XdjNBqFg//ExATt7e1EIhHWrl3L2rVraWlpwe12i+ikUCjEzp07CQQCXLp0SVhxyMhcb8iVLhkZGYHf7xctIQmv1yuy/uZCrVaLLcB0Oi1mj+YimUySm5tLWVkZsVhMtAevRHJIz8nJyYrzycvLy/J8GhwcJJFIzLCokLb/5qoE+f3+rNBsmBJEOp2O8fFxHA6HOF9ppu3KTUG3201hYSFdXV3AVEWpra2Nuro6VCoV4XCYnp6erM9UU1MjqjjxeByXyyU+n1KpxGg0CjHocDhIp9MitFs6F2kZwev1vqOZLr1ej8lkorm5WWQ8BoNBmpubRfVLsgeZN2+eqEA6HA5ycnKy/LR6enpYsWJFVutRcsiXKmr79u0TUUBSxI/FYplhQSFdk/z8fDZs2IDNZhPZjTIy1xtypUtGRkYwmzipq6sTMTVzIRmOqtVqTCbTNQOYo9EoBQUF4tizbftJeDweenp6xLkZjUZKS0uzhOHw8DCjo6Mzzj+VShGLxWZdAMhkMnR3d2eJKCkaCKa2DU+ePMnAwAAKhYJkMkkymRQZiBJ6vZ66urqsGa5Lly7h8/nIZDKMjIxkCTuz2UxVVZV4vtvtxuVyid/HYjFOnjzJxz72Mf7sz/5MZEOuX7+eVatWYTKZRPUpGAyK/MVrMTIygs/nw2azsWnTJhEoPjk5KbYItVotnZ2dnDp1SiwHWCwWiouLs47V39+f1VJVKBQ0NTUxNDTEK6+8gtvtprKyks7OTjweDw6HA5fLhV6vx2g04nA4OHr0KOfPn+eNN95gdHSUjRs3snfvXvbu3YvP5+P111+nt7eXnTt3MjExcc3PJyPzXkCudMnIyAhisRg2m00IAp/Px7lz5xgcHCQej1NfXz/n68bGxigqKgLIaqXNRjKZZN++fbjdbtatW5cVdH0lKpUqq/2oVCqpra3lzJkzotoVDAY5c+YMBQUFWdUXye5hNlHi8/lobm7OOrbD4RAD4hUVFaJ6ptFoGBkZQa/X09fXR0lJSdZ7VFdXc+jQIWEf4fP5GBgYwGq10tvbm3U9SkpKcDqdWTYbV35enU7Hvn37MBgMRCIRAoEAXq+XQCCAyWRiYmICq9VKTk4O8+fPv2b8EEwtIBQWFhKNRmlra8Pv92MymcjPz0ej0YgqpdTOlM5Pq9VSV1dHW1ubaBmHQiGOHDnCXXfdJVq9brebz33uc2QyGZG9eOONN2ZV5SQhXl1dTSaTESa1Op2OiooKVq5cKX6+9dZb2bx5M0ql8qp/HzIy7yVk0SUjIyOIxWKMjIzgcrkoKSnBZDLR0NDAkiVLZsw+TUer1ZKXl0cymSQYDAJz20UA2O12FixYgMvlumpFDBCRPRIKhYLCwkJqamp4++23xfucPXuWefPmsXDhQvH8VCpFOp2e8R6xWIwjR47M8M1asmQJZrMZhUKB3+/n0KFDZDIZ7rrrLoqKimhtbaWmpmbGOdpsNsrKyjh79iww1WLs6uqivLw8q7Uo5TZemVEoEY/HCQQCbN68mZMnT+Lz+di8eTNlZWW0trYKURkKhUilUjgcDpxO51Wvn0RBQQGbNm0imUxy5swZ5s2bR1lZmRB9Untw7dq1ohUpXe/KykrKysqyLB5aWlqw2+3cdNNNYqP0SnE0V0taWmDIzc3NqkLm5OSIxYVrLVjIyLwXkUWXjIyMwGg0EgwGRWvp0qVLHD9+nPnz54v5ptmQBr3dbvesWYVXcvnyZbG5tmnTJux2+6zPUyqVlJeXzxBwWq2WVatW0d/fL7YCo9Eou3btIhqNCvd5m83GypUrycnJEbYTPp+Pw4cPc+rUqazzLC0tZdGiReLnnJwclixZgtfrxWg00t3dTTKZJJVKzWhXqlQqGhsbaWlpEZWz4eFhenp6slqLkjiby++su7ubn/zkJwwNDYkNynPnzvHEE0+wYsUKYEqwLFu2TIiSd7K5KFWZpKSA9evXA9nGstJ1ldqr049tNBpZs2YNly9fFuI7mUxy4MABPB4Pq1atoqCgYE6RJfmATUxMMDAwQGtrK2q1mgcffBC/358V6xSNRoVnmIzM9YYsumRkZAQOh4OioiIxw+N0OoUFwNVaPKlUikAggMvlwu12zzAwvRKbzUZ9fT12u11YK8zFbCacCoUCl8vFhg0bePnll4WdRTAY5JVXXuHcuXPU1dVRUFAgzj8UCnHp0iXa29tnbN85HA42b96cFV+UyWQYHBzE4/HQ19dHV1eXaMXNhuRSPzw8DEzNol24cCFrZqyqqmpOU1GYCr/+6le/ytNPP83DDz+MXq/nueeeIxqNolAoiEQihMNhACYmJhgdHRXh17FYjImJiRkB0kNDQ5w6dQq9Xo9Wq0Wj0QgvMum/eDxOc3MzGo1GhI+nUimSySRWq5XS0lLKysrYsGEDr776qvhMyWSSs2fP0tHRIRYKphu4xmIxAoEAHo+HyclJJicnxfmVlpaSTqfp6OjI2k6NxWIzlh9k13qZ6wVZdMnIyAgmJiZIJBIoFArh1bRy5Uq6urpEtWg2lEolNTU1OBwOJicns2JkZkOqOgUCAVKp1DuyPJjtPevr64nH47zxxhtiniqVStHX10dfX1/WPFEymZz1fPLz87ntttuEP9V0wuEwGo0Gt9st2nBzeUdJ4dWS6IpGo1lWG0ajkZqamqtugUoWElqtlh//+MdoNBoikYh4z7fffpujR4+SSCSEKEomk1cdpO/q6hKblTDV8pNmrtRqNRqNhjVr1qBWq7FYLCiVSsLhMCqVing8jsfjobKyEqVSSVNTE5lMhr1792a1myORCN3d3XR3d895HrOhVCpZsGCBsOeAqdbsyMgI4+PjWW1OGZnrAVl0ycjICHQ6nXAil+jr6+Pw4cNMTk6ybdu2OV87PDyMwWDAbrdnGXnOxmz+VL8NKpWKpqYmTCYT+/fvZ2BgIGswPp1Oz+nRpdVqqaioYP369RQVFc2ozun1ejZu3IhOpxNmsdeivr6eY8eOicH56eciVYKmMzY2JobW1Wo1oVCInJwctmzZwtjYGHq9ntLSUlEJCofDTExM/E4B1JJQk1AoFFitVpYvXy6qaZFIhLy8PFFVkz675CFms9k4cOAAvb29c17fuZAG5Z1OJ0qlErPZLNzypSqYRqMhGo1edatVRua9iCy6ZGRkBMlkUlSpYGqw22KxUFhYKMw80+k0SqUyS1hlMhnC4TDBYJBgMJhVDdJoNMKdXqquSLNRVVVVAMLWQfq9VGmTzEmln6X3ko4rvaa6uhqXy8X58+dpaWlhdHRUVIOmG5mqVCr0ej2FhYUsWLCA2tpajEaj+Fznzp1jYGCA6upq5s2bR09PD8FgkMbGRnw+HwUFBej1ejo7O6mrq5uxKZmfn095efkMc09p4/LKFm1rayvpdJpUKoVer2d0dJScnBx0Oh2FhYViy2+6/9X0YySTSXF99Hr9Ndu6EtODrKVKoPSYVqtFp9ORSqUwGAyk02mRbQlTYrW4uJj3ve99XLx4kZaWFoaGhgiHw2JxYbqVhHTdtVotdrsdt9tNbW1tltAdGxtjZGSEeDyOwWBAqVRSXFwsvhsZmesFWXTJyMgIEokEfr9fbPyFQiFOnDiBSqWis7OTRYsW0d/fT0FBAStWrCAWixEMBgkEAlgsFrRaLZFIRAgigFWrVmUNqJtMJjHvNDExgV6vp7u7G6VSicPhYPXq1fj9fpGJeOHCBbRaLbFYjHQ6LewSGhsbhQCRqjWrV6+mqamJ8fFxLl++LNzolUoler2evLw8XC4XNpsNnU6XdUP3+Xw899xzrFu3TgiQSCRCX18fPT09FBYW0tPTQ3FxMSdPnpx10Fuj0XDHHXfMsMyQfMyuFEVut1ssESgUCqqqqvB6vcybNy9LZHZ1dXH27Fni8Tgf+tCHRAVodHSUI0eOMD4+zt133z3nQsKVeL1esUhQXFwsQreHh4fR6/VYrVZGR0cpLCxkZGRE/F8atD9//jzLly+nqamJ+vp6fD4f3d3dXLx4UeRparVa0uk0ZWVlFBcXk5ubi8ViwWg0zhpa7nQ6CQQCGAwGYQL7u1T0ZGT+GJFFl4yMjCCRSGTdEPPy8li1ahUdHR1YrVZxE8zJyaGwsBCLxcLExATpdJpwOIxer0ev12dVOiwWixiWT6VSHD9+HI1Gw4YNGzAYDOTm5or2mVKppKqqCo/HQyKRQKfTifZTMplEr9ejUqmw2WxZokRq0Ultumg0Sm5uLgUFBeLfMFVRm36e0zGZTCxfvpzm5mZh9Nra2koikSAYDHLrrbeyc+dOxsfHWbhw4axzaFd+3mtRWVmZVcVLp9Oi7Tb9mFVVVaTTaU6fPk1+fr4Qmw6Hg8LCQn75y19it9uzTFavRigUQqlUEo1G6evro6ioiFOnTqHRaEgmk4RCIXQ6nYjyuXz5Mmq1GrPZTDqdpr+/n+rqanJzc9HpdOTn5zMxMUFeXp4Q7Hl5eeL7vNrmq/Q5pCrb+Pi4CFyXq1wy1xuy6JKRkRFINgXSzU664UvBy0qlksrKyqzXZDIZgsEgp0+fzgpKno1UKsWePXsoKCjgkUceEY83NjaK9wNm9Z4qLS3NEnMSw8PD9PX1sWLFClQqFX6/n5aWFsxmMzabTQitWCxGXl4enZ2d1NbWii09iWQySU1NDSqViv3793PDDTeISlBbWxtutxuFQsHg4CB33nnnVQWBtPmYSCSIRqN4PB4KCwspKysjnU5z6dIlhoeH0el0VFdXY7FYSKVSdHV1MTY2hlKppLS0VGyCajSaGZU5QISSTxdpyWSSCxcuUFxcjM1mE877arVaVNByc3NZtGgR8XgclUrF+Pg4K1asEG3WdDpNNBrNEnEqlYqxsTG0Wi3l5eUzvMby8vJYunSpqGRJsUnvZElCOpbBYCAvL4/BwUF5nkvmukQWXTIyMoLa2lqUSiXJZDIr5gWYkTkoId34VSoV6XRatBKlzbdoNEpOTk5W6yuZTDI0NCQqO9JNV3K2lx43GAwkEgk8Ho8Y0Jdmx2w2G36/n1dffZXu7m5sNhsmkwmXy8WWLVtEpWT6sL5Go6GkpGRWIZDJZOjv7ycajXLfffeJTUyDwcCmTZtQq9UUFBTgcDiuavsgHauvr4/W1lZqa2tFqw2gra2N5uZmysrKGBkZoa+vj23btpFOpxkdHUWj0eD3+9m9ezf33nvvNd9rNkZGRvB6vaxdu1bECi1cuFD83mazCdE5m5Cdza4hk8mIDU7J52s6klB+N9WpdDrN8PAwCoUCr9eLUqkkHo+TSCQwmUxye1HmukMWXTIyMgJpS627u5vHHntMzCZNd3gHxJC7SqWisrKSb3zjG9TX16PT6cRzjx49yvPPPw9MCbaPf/zjrFy5knQ6zYEDB+js7GRiYoIbbriBD3/4w6RSKZ555hna2tqED9dnP/tZQqEQ3/zmN/mrv/orioqKOH36NK+88gqPPfYYhw4d4qWXXhIzQKWlpTzyyCNZ1bbpoiIWi6HRaGYVXUajkdtuuy3rsfe9733icx85coTh4WHuueeedzSwnslkMBqN3HDDDeL94vE4LS0tuFwuKioqcDgcvPbaa3i9XtxuN0uXLiUajRIIBOjs7CQSibxr0aVSqaipqeHQoUOEQiG8Xq+o2F0piKQZucnJSTKZDLm5uVkxUNI5DwwMYLPZMJvNjI+P4/f7UalUwmdteotU+uyRSITx8XFisRh6vR6HwyFC0SWkWbfJyUlycnJEsLYURSQjc70hiy4ZGZkZ2Gw2HnjgAbGxNj4+zvbt21m2bBnz589HrVbT19fHW2+9xeLFi7FarTPaQQ0NDTzxxBMYDAZ+9rOf8eKLL7Jy5UqSySR5eXl84QtfYHh4mH/8x39k1apVDA8Pc/r0ab72ta+Rk5PD3//93/PCCy9wyy234PV6hc1BLBYTXmBbtmyht7eXQCDAZz/7WXQ6XZYPViaTwev1otPpMJlMXLp0CaPRKDIi3ylKpZLGxkaRmTg8PCw2DqV5NoVCgdFozKr4WK3WrA1HKSZJCppOp9M4HA7UajVjY2McPHhQzK1Fo9HfSngoFAqxZdnb24vH46G4uHiGv1goFOIXv/gFzz//vIgqKisr48EHH+T+++8XjvfDw8N88IMf5KGHHsJgMPDzn/+cgYEBcU0ee+wxVq1alTWXdvr0aX74wx9y7NgxsWRx44038ud//ufU19dnta8tFotokUo5m3JrUeZ6RRZdMjIyM3A6nXz0ox8Fpm6i//zP/8y2bdt4/PHHxRp/LBbjV7/6FWfPns3yfQKE8enevXvx+Xy0traK6pharWb+/PkUFBRgMpnIzc2lv7+f1tZW6uvrKSkpQaVSsXr1anbv3s0tt9wy6zlKWX9arRatVovJZMqqYGUyGfx+P6dPn0av11NWVkYikaCvr4+xsTFKSkpEgLW0ZScZq6rVaiorKwkGgwwODmIwGCguLkalUuHxeDAajcJWYXh4mEQiIbInrzzH6Wg0GvLy8sjPz2fp0qWilavX6zl06BAAGzZswO/3c/Hixd/6+9PpdFRWVnLhwgWSySTr16/Pql4lEgmefvpp/umf/olVq1bx+OOPA7B3716efPJJPB4Pf/EXfyE+49jYGP/5n/+J1Wpl69atlJeX097ezjPPPMPo6CjPPfccbrebTCZDc3Mzjz32GMlkkg9+8IO4XC46Ozt57rnn6Ojo4OmnnxYzX4WFhSgUChFcbrPZiEaj+Hw+8vLy5EF6mesOWXTJyMgIUqkUPp8Pg8EgNuTS6TTHjx/nvvvuy2rb6fV6Kisree655wgGg1m/CwQCfOMb32D58uXcfPPNIkMQEL5T0vulUinUajU6nQ6fzyeqO9FoVAyPSxuKMGUQeqW551wVIWmWzOl0UlBQwOTkJEajEbvdTn9/PwqFQnhLdXd3o9PpSKfTFBQUANDe3k5ubi4jIyPo9fqsHEgps9BkMpFOp4UX2dXQaDQsXryYt956i4mJCeFftXbtWhwOB+3t7Rw+fFhsF8JUe6+trY2enh5GR0c5ceKEsGHo6elhYGCAiYkJTp8+zbx586iurkaj0VBeXs6JEyfIzc2dsT3Y3t7OD37wA5YtW8b3v/99UZ278847+eIXv8jTTz/N+vXrWb58uXiNx+Phb//2b9m2bRsajYZ4PE4sFuPpp5+mpaUFt9tNNBrlmWeeYXx8nB/96EesWLECpVJJIpGgqKiIL3/5y/zmN79h+fLlGAwGYRYbDAZFazsejxMKhZg3b9479h2TkXmvIIsuGRkZQTAY5Pz589TX12d5YNntdt588002bNggbuCBQIADBw6IKJnpxONx4Tel1WrFnBZMCa3Dhw+zatUqhoaG8Pl8VFdXk5+fzz/8wz9w5MgRLBYLr776Ku9///tFRMyhQ4fw+Xy8/vrrWT5YTqeT06dP09bWhtVqpbi4WGzOSTFAWq1WxN9YLBbMZrNwQM/JycFqtWKxWDCZTPT29tLe3k5dXR3hcBi73U5RURFWq3VWV3pJbF05q1RXVyfEpRRDJJl+btiwQcxa5efno1AoqKysJCcnB7/fT0NDA1VVVRiNRtLpNGq1WgRlSzYder0etVqN3W5n69atqNXqrJkpvV5Pbm4u1dXVWS1OQMynff3rXxctU+la3nXXXezatYsDBw6wbNky8Zr6+npuuukmcSytVsvy5cv5/ve/z8jICDDVht6/fz9ut5twOMyJEyfE66UW4rFjx2hsbMRsNov3tVgsdHR04PV6hcVHIBB4x0kAMjLvFWTRJSMjI1AqlUxMTBAIBHA4HEK4PPzww/zlX/4l9957L1VVVahUKi5dusTIyAhf+tKXZgx722w2HnnkEXbt2oXVauWGG24Q1Zu6ujqKi4vZsWMHoVCIT33qU8ybN49MJsMnP/lJXnjhBWKxGHfccQcbN25ErVbz6U9/mueff55Tp06xYMECIpGImN26+eab6erq4vvf/z6NjY08+uijokIitSCHhoayDFul37lcLvx+PwqFAq1WSyAQED5jkiBKJpPodLoZwmX6cWZ7bPq2ptQuzMvLEwsIZrMZv99PIpHgwoULZDIZXC4XRqOR3NxcIpGIaL1FIhHq6+sxGo0UFxcTDoeJRCJCeGm1WlGtSqfTeDwe+vv7SaVSwgtsOn19fWg0GhFsPv283W43Op1OvF6iuLh4hqO+dE2kyuPY2BiTk5NcvHiRBx98MOu5UoUzFAoRCoXw+0bztqoAACAASURBVP04nU7y8/OxWq3U1NQQDAaxWCyk02mCwaA8TC9z3SGLLhkZGYFKpSI/P39GvM2qVat49tlneeGFF2hpaSGVSrFkyRK2bdvGDTfcMKMaoVQq2bZtG7feeqv4WTIwff/73w+Q1aaTRMH69etZu3Zt1uOZTIZ169Zx0003ifOZ/n+bzcbjjz+eZZA6nXnz5olWXnFxMT6fj1gsRm5uLjk5OSSTSXw+nzAGlXIHc3JyqKurY2JiQpiu/rZIrvhGo5FMJsPY2Jj4dyQSIZlMkpubK5zcJeuEQCBAKBQSrTzJbywajRKJRDCbzbS1tdHQ0CDeK5VKcfbsWXw+H2vWrBED8bPxbmampvu3zYXUBt64cSOf//znZxWqubm5pFIpent7hY1GIBCgra0Ng8GAyWRidHQ0ywBXRuZ6QRZdMjIygkwmI3L2pt/wlEolCxYsYP78+VkWDFe7KUq5iNN/nv7/d/Ka6c+fq810tfOQKljTTT4VCoVo+xkMBtRqNZFIBKVSiU6nm1H9eqcu71fDZrOJuTUp03BychKtVkt+fr4Ietbr9aJ16nK5UKvVWCwWHA6HqHLpdDpUKpXYRjSbzTOyLudaPpCoqKggmUzS39+f9Xgmk2F4eJhYLEZRUdG7bu05HA5yc3OJxWI0NDTManILiFawNDvn8/lwOBxEo1FSqZSotMrIXG/IoktGRkYgBSrn5OSIyhH87zaiNDuVSqUoLy9nyZIl5OfnEwwGGRoaEq3HK5EMOk0mE01NTcDUjfbMmTPY7Xbq6+v/YLM70meDuQ1BDQbD77XKIsXiwJRxqc/nw+v1YrVaOXXqlAiWVqvVLF68GGCG4/tsj0UikVnbh9di9erVFBUV8Ytf/ILNmzcLgTM+Ps5vfvMbzGYza9asedfHzc/PZ926dfzyl7/ktdde47777hPnnEwmCYfDItopFouJ15nNZpGVGYvFsiKnZGSuJ2TRJSMjI8hkMvh8Ptxud9ZjHo+Hb37zm+zduxeTyYRSqRQD33/913+NSqVi586dPPzww5jNZnQ6HZFIhEQiQU5Ojnj+oUOHaGpqIhaLsXv3bjo7O9m2bdsf/HPONYf1h0CtVqNWq8nPzxdtR7vdjsfjmTEzdS3e6fN7enqwWq3Chb6qqorPfe5zPPXUU3zmM58RprB79uzhzTff5NFHHxXi792g1+v55Cc/yblz5/jrv/5rjh49yoIFC4QVR1tbG1/72teoqqoSIhSmBulLS0vxer1YLBb0ej3hcFgWXjLXHbLokpGRESgUCuLxOOFwWDyWyWTYsWMHLS0tfPe736WqqgqFQsHQ0BD/+q//yjPPPMOHPvQhWlpa+O///m8MBgMPPfQQb7zxBv39/ZSXl3PPPfdQWlpKW1sbMOV4v2fPHnQ6HbFY7D03uyMN2l8ZTJ1KpUQc0vQqoTSjFQqFsNlsWUP20mtLS0vf9Xmk02kCgQBKpZKcnBwikQipVAqFQkFOTg6JRIJIJMLhw4dpbGwUokutVvOxj30Mi8XCT3/6U/7u7/4OmMq3/OpXv8pDDz0kDEolUTh921BCp9PhdDrFcxUKBfPnz+ff//3feeaZZzh48CA7d+5EoVAIbzKn00leXl6W6PL5fPT29oplBrvdjtVqfc/9XcjIXAtZdMnIyAgkv6npjuDpdJp9+/Zx3333cdNNN4kbYUFBAQ8//DDf/e53CQQCuFwuPvrRj/K9731PZCWGw2H27dvHPffck/U+9fX13HzzzdhstiwvqP+fpFKpWSsr08WT9HM0GqWnp4eioiLGxsZIJBK4XC7GxsZwu91cvnwZjUYjBuWdTqcwUV28ePGsQ/m/jcA4f/48p0+fJplMsnbtWl555RWsViuxWIytW7dy7tw5xsbG6O7uFqHiEgaDgQ984ANs3bqViYkJABEDNL3VW1hYyP/8z/+Qk5Mzo71544038uKLL9LR0cH+/ftZt24dSqWS+fPn85WvfIV169ZRWVmJRqMRnmmztU1DoRBOp5OioiI8Hg8+nw+r1Sr7dMlcd8iiS0ZGRjA9U3E66XR61k00tVotNtby8/Mxm81otVpaW1tpbm7mxhtv5OTJk3+o0/+dGB8fJxwOi/mqWCwm5otgysU9mUwKUeLz+dDpdFy6dEm0+bRaLdFolHA4LIb1dTodg4ODMypjvyuZTIbXXnsNq9VKKBTi7NmzBAIB7rnnHs6cOcPZs2e5dOkSDz74INu3b59VUCqVShwOx4yhdSlkHKaG4wsLC/H5fEQiETQaDbFYTJjCNjQ0EAgE2LdvH+vWrROWFQMDA7S2tlJXV4fdbhfh5YlEAqVSidfrFYP0Go2G7u5uvF4vwWAQtVpNOp2msrJyTqsOGZn3IrLokpGREUhZhd3d3djtdjQaDUqlkuXLl/Piiy+yePFiSkpKUCgUjI2NsX37dqqrq7HZbOTm5pJIJNBoNKhUKgKBAGfPnkWj0TAwMMAbb7xBc3Mzb7zxhrCZUCqVpNPpP4qKRjKZFOaj8XgclUolthsVCgU6nQ6PxyNEqWQ5IbUFJed6KW/RbDaLHEVAuOH/Pj+rWq2mpqaGoqIiTCYTAwMDWCwWdDodoVAImH0j9GqkUin27NkjXOZvuukmXnvtNeELtmjRItrb23nooYf44Q9/yCOPPILL5RIGue3t7bz44oti+aK3t5eJiQlGRkYIhUKUlpZSUFBAf3+/sOooKytj4cKFZDIZEZCt0Wh+J5sOGZk/RuS/aBkZGYFCoSCZTGI2m8WNWqFQ8MADD3DmzBkeffRR3G43SqWS0dFRXC4XX//616murqakpITW1lacTiejo6M0NDSQm5tLSUkJHo+H8vJyLBYLo6OjnDx5UrjEBwKBGeaq/z9wOp1kMhm0Wm2WG79EJpPBaDSKKozD4SAWiwmLjfHxcbT/j737jo6rPBM//r13+mik0Yx677Kam2xcwBXjQocEgpOFZROyIU5CNtkkJ3B+KYbkbMpmCYFDCAHSgQ2HEFyW5gIBjI2bqiVLtiSr9zIjTZ+59/eHz9xILmDARbbfzzk+SJrRnTszF+nR8z7v8xiNDAwMaK9dNHMWHUN04jHPVLSVx+SeZpIksXz5cqqqqujr62PhwoXEx8dr5xltI7F161YmJiamFN1PznqdeD5er5eDBw+yfv16MjMzaW5uZmJignvuuYennnqKpqYm3G43ACMjI1qvrehx6+rqKCsrIy8vj5dffpmSkhItUxqtNdPr9SQlJREMBomLi9PGP3k8HoaGhsjIyPjIQ8kF4WIggi5BEDTRJbDJjTAlSSIzM5P//u//5h//+AdNTU3a0s/SpUu1GXkGg4G0tDTi4uIIhULo9XptjE20A3s4HMZoNBIMBrWi8+mQ5QI+dBlLkiSt1i0SiWjP02azaZ3bdTqdVhsWDZBMJpM2Q/LjUhQFt9utdcaPNlGdMWMGGRkZWhH/bbfdRigUYtasWeh0OoLBIIqioCgKNpsNv9+vZeq8Xi+xsbHIskxfXx+hUGhKh/roTMpoNjIcDhOJRLTlRZfLhcvlOulco0O8FUVBVVUSExOxWCzk5OScFMT6fD5MJhM9PT14PB58Ph/Z2dlaUCcIlxoRdAmCoNHpdNqMwskkSSI1NZXbb78dj8eDqqrExMScdL9oduLEIdSTPz/x44tRdOkxGoR5PB7teUW774fDYS2rczZEIhG8Xi+RSEQLuqIDt61WK8PDw9hsNsbHx7Vl4VAohN1uZ3R0VBvDpKoqFotFCxQVReGRRx6ho6ODP/zhD1itVq688kr+/ve/k5SUxJo1a0hNTeWZZ54hJSWFJUuW8L//+788++yzJCQkMDo6yuuvv05bWxs7d+5k5syZvPzyy7S1tZGcnDwlO3eiaGDmdDoZHx8nPT39I7fNEISLiST6oAjngbjILhLj4+Ns376diooKrTUEHM9KtLS08MILL1BXV4eiKOTn53PrrbdSWVnJxMQEXq+X1NTUaZO5Op+qqqoYHx/H6/USFxeH2+3GarVSUVGhtWn4JCKRCC6XS9tdGl1CjC7LWa1WRkZGSEhI0IIuvV7PxMQEMTExTExMaMu5qqpiMpm0OYeyLHPfffdx7NgxXnrpJcxmM5FIRKsJi4mJIRKJaDVdRqNRG10UHXbu9Xq1JUSLxaL12DIYDKfN8gWDQTZu3Mjdd99NcXGx1ox38nioC+Ti/EtAuCiITJcgCBqr1crcuXNpb2/H6/VSVlaGXq/nyJEjfOMb3yAYDFJWVoZOp6O+vp533nmHjRs3kp+fz65du7jtttuYmJhgdHSUjIwMhoaGCAQCZGZmMjo6isvlIiMjY1rUcJ1N+fn5BAIBbfBzOByeMqrnk5Jlmfj4eGBqdjAuLk77WkpKCpIkaf2vosuh0aHfJ36vw+FAkiStJmvybTqdTjt29PPJy69Wq3XK+Z34ftpstg98Pqqq0t3dzauvvsqnP/3pKaOcLtbspyCcCRF0CYKg0el0OJ1ODhw4QCAQ0Iqgn3vuOZKTk/nZz36mZW4mJiZ49NFHee655/jhD3+I2WzG4/Hw+uuvExcXR1NTEw0NDRQUFNDX10dtbS0+n4+bbrrpkgu6Tje25mwFEKebLzn5a6cKWj4okDnxa5FIhO3bt7Np0yb8fj9r1qzhlltumTIw2+12s2nTJnbs2EEwGGTp0qWsX7/+pEanW7ZsYefOnbhcLlJSUrj66qu54YYbMJvNDAwM8Nvf/pZ33nmHpqYmvvnNbxIfH4/RaOTee+9l9erVH/NVEoTp7/JbBxAE4QNFIhESEhKorKzU6obq6upYu3YtycnJGAwGDAYD8fHxXHPNNfT19dHe3k53dzejo6Na8XU4HCY5OZnCwkK8Xi/hcJi8vLzTDkG+2EUDo8n/ppvoLshob7XJOw9ramp45plnKCwsJCkpiYceeohf//rXBINB4HiQ/YMf/IBHH32UvLw8KioqePrpp/nWt77F+Pg4cHzJ8IknnuCnP/0p6enpLF26FIBdu3Zpx9Hr9ZSWlrJ48WIMBgNr165l/fr13H777eTn55/nV0QQzi+R6RIEYQqTyYRer8fn82mBQ3Qg8YlDsKNtEux2O8uWLcNut7N69WqGh4fJysrC6/USExODwWCgubmZ7u5u2trazkqdk/DRjY2NUVtbS0xMDB6PB0VRKC4uBo6/7xs3bmTWrFlaE9jnn39eC4beffddXnvtNR5//HFWrlyJJEksXLiQf/3Xf2X37t2sWbOGYDBITU0N8+bN47vf/S42m03bVBDt4+VwOPjUpz5FSkoKTzzxBOvWraOysvJCviyCcN6ITJcgCFOoqkp8fDwmk0lrL7Bu3TpeeOEFnnvuOaqrq6mtrWXz5s389re/Zd68eVqriaamJo4ePYrH46Gzs5OBgQGampoYHBwkPz9fy5IJF0a0tcfExAR+v3/KTtW8vDzy8vKQJAmDwcAVV1yBz+ejra0NgPfff59QKERHRwd///vfeemll2hubkZVVerr64Hjo4XWrFnDnj17+I//+A9eeeUVhoeHtQazwCkzgdM5OygIZ5PIdAmCMIXf72dgYEBbBpQkiRtuuIGOjg4eeeQRQqGQ1uV83bp13H333bjdbm1Z0el0Issyer2ewcFBrSZIr9djNpu1gnDh/LPb7SxevHjK16JLjCaTaUpAHC2W9/l8wPEs2cjICH/+85+ntMGYNWuW1vhVp9Oxfv16MjIyeO6553jggQdITU3l61//OmvXrhUBt3DZE0GXIAhTGI1GMjMzp/xitdlsfOMb3+DWW2+lo6ODSCRCVlYWubm5WCyW0/bkKigoADhlkblwYZwumxRteRF9P0dGRgC0IDk5OZmcnBx+85vfaEFW1OQh1tFs17Jly2hqauLRRx/lhz/8ITNmzKCoqOikxxXXhnA5EcuLgiBMIUkSzc3N+P1+4HgmpKGhgXA4TFFREatWrWLNmjWUlpZiNpsZGxujubmZ3t5ereHmBy0fiSWk6amlpYW9e/fi9XoZHh5m+/btJCcnk5eXB8Dy5csJhUJs375da4mhKIq2eQKOD8pub29nbGwMVVUpKiri6quvxufzacX2UWazGVmWaW9vx+fz4fP5tCHhgnCpEpkuQRCmiEQiBAIBLQOhKAq/+MUvuOOOOzAYDDidTkpKSjCbzXR1dfHQQw9x6NAhYmNj+dKXvsTNN98sBhVfZCRJIjs7m6effpqXX36Z4eFhjhw5wre//W1SUlIAmDdvHhs2bOB3v/sdr7/+Og6HA7fbjaqqPPLII+Tk5ODxePjBD37A+Pg4qamphEIh6uvrWbly5Uk7E/Py8li0aBH/9V//xbZt2zCbzXz2s59l4cKFF+IlEITzQnSkF84HcZFdRNxuN21tbRQUFGCz2QiFQtxwww0MDAxodT9f+MIXuOuuu/jrX//KM888w9e+9jWam5v5xz/+wW9+8xtycnIu9NMQzpCiKLzyyitYLBYSEhJ48803CQaDLFy4kEWLFmmjjgACgQDV1dXs2bOHgYEBYmNjmTt3LldeeSUGgwGfz8f+/fupqqpidHQUnU5HWVkZS5cuJSMjY0qXeVVVOXbsGK+99hr9/f0kJCRw/fXXT4e2ESIVK5wzIugSzgdxkV1EvF4v9fX1ZGVlkZaWRigU4sYbb2TmzJncdddd1NXV8fLLL/Poo4/y7LPPcuTIER5++GE8Hg8bNmxgw4YNXHPNNRf6aQifgKIojI2NAWizGw0GA3Fxcdry8KFDhzh8+DCJiYnIsqyNIpIkibi4OG1ItsfjwWq1snDhQkKhED6fD4fDoQ08B06a4XmBiaBLOGdETZcgCFNE5+5Nrq8xm83cfPPNzJo1izVr1iDLMhMTE0QiEW24st1uJy4uDpfLdQHPXvi4AoEAXV1duN1uBgYGeO6556ivr6e9vV0Lrif/kW6z2cjPz6ewsBC9Xk9CQgIFBQXMmDGD5ORk4uPjyc3N1VqP+P1+enp66OnpIRwO093djcfjwePxEIlEREG9cFkQhReCIEwRDAa1xpnRZqgpKSkcOHCAoqIimpqa6OzsZOfOnTQ3N6MoCpFIBEVRCIVCl+XA64udoijs3buXgYEB4Piu09HRUZKTkxkeHsbr9ZKUlDRlE0R2djbZ2dnA8YanJpMJWZZP2iiRkJBAOBzWBmCHw2ECgQDBYBBZlhkcHGRiYoLExMQp8x0F4VIkgi5BEKaIi4ujoqKChIQE4PjSzy233MIPf/hDNm/ejNfrZfbs2ezatYvOzk6cTiebNm1CVVW6urrIysq6wM9A+DgmJiaIi4ujv7+fpKQkiouLyc3NZXR0lJKSEtLT008511FV1VMO1I6K3hYOh3G5XHg8Hrq6ukhNTcVsNmOz2ZBlebotMQrCOSFquoTzQVxkFzFVVQmFQuzfv5/6+npSU1NZsmQJiqLg9/uprq7msccew+Vyccstt/D1r39da6wpTG/RYvZjx46RkpLCn/70J/Ly8igsLKSqqopZs2bR39+PLMukpqaSnJxMWVnZlAApEonw9ttvU1xcTEZGxpTjBwIBDh48SG5uLklJSYRCIXQ6nRZkRXuDKYpCfHz8dLluRE2XcM6ITJcgCKd07NgxJiYm8Pl8GI1GnE4nFRUVlJeX09raqo0ISkhI4Mtf/jI+n48ZM2bQ3t6OTqejqKhI9OS6CBgMBlpaWjAajWRnZ5Ofn8/g4CCZmZl4PB5kWcZisSDLMtXV1RQWFmrZKzi+NNna2kpqaupJQZeiKLS1tWEymYiJiWF8fHxKxkyn0xEIBLQJB4JwqRNBlyAIp2Sz2fD7/QwNDaHX63E6nfh8PhRFwe12o9frtRl+0Z1toVAIs9lMOBy+0KcvnCGbzcaVV15JZmYmycnJWK1WDAYDo6Oj2O12FEVBkiSCwSBZWVla3dWpVklO/Fo0SxqJRDAajbjdbiRJQq/XYzQaiYmJ0WrFRG834XIglheF80FcZBeh6M+GE39GRMf8SJKktQCIzleM3n6qj4XpKfr+Th7fNNnk2q3JnwcCAVpaWvD5fLz77rsUFRWRnp4+5bh9fX00NjZyww03kJeXx9DQkDa1wGg0Eg6HtQ0bTqeTmJiYc/pcz5C4aIVzRvxpIQjCaUWDq8kf+3w+9Ho9BoMBvV5PXFzclPtFiYDr4hANtk71Hp54v8kURaGrq4u2tjbGxsaoqamhoaFhyv2NRiOzZ88mOzsbvV6PyWRiZGREy5xGd8mazeYpS5aCcKkSmS7hfBAX2UXI7/fT1taGXq/H4XDQ19dHTk4OnZ2dpKSkMDY2hs/nIz09Xdvx5nK5CAQCFBcXi+Wii0hXVxctLS0sXbp0SsuPUChETU0NqampGAwG/H4/ExMTlJSUoNPpUFUVj8fDiy++SFlZmTbgPMpgMBATE4NOp8Pj8dDT00NycjLBYBCXy0VWVpYW9MmyjMFgON9P/VTEXwvCOSN+KgqCcEp+v5/BwUFtl6JOp8NsNuP3+3G73QwODqKqKm1tbVO6lBsMBnJyckTQdRGpqqriqaee4sorr5wSdAWDQZ588kkWL15MQkICo6Oj+Hw+srOzsdlsSJKExWIhNzcXp9OptRk5lWhgpdfrtSXFaI1gOBwmJiZmugRdgnDOiJ+KgiCcltfrJS0tjeTkZAwGg7YMFQwGSUtLQ5ZlZFmmv7+fcDhMUVERsixPmdcnXNyCwSDj4+OUl5fjcDgIhULU1taSkpJCfn4+siyzYMGCDwyyJy8hdnR0oNPpSE1NxWQy0d/fj06nw2QyncdnJQgXhgi6BEE4JZPJxOzZs0lNTQWO/+IEmDNnjjY3LxqEpaSk4Pf7SUxMFFv/LyIdHR1UV1ezb98++vr62LJlixY8RZvd1tbWcv3112M2m+ns7ERRFHJyclBVFUVR0Ov1p+yvNbnwfnh4mLGxMcLhMJIkaTtgk5KS0Ol0xMTEaNeXIFzKRNAlCMIpWSwWrbg5Eolw4MABvF4viYmJWhsJQFtuqqqqYsWKFaSkpIgi+ovE8PAwmzZt4r333qO7u5vvf//7UzZO6HQ6li9fzvLly7VRPu+88w6pqanYbDb0ej2qquJyuQiFQiQmJgLHM6TNzc0Eg0EKCgq03a2jo6OkpqYSCoUYGRnB5/Ph9XoJBoMYDAYxBki45ImgSxCED6UoCg0NDUxMTJCWlobL5SIcDpORkaENM7ZarWJZ8SIze/ZsfvnLX7J161b+/Oc/84tf/EILpiVJwmAwkJiYiM1m4+DBgxw6dEgLrKIBl6qqHDx4ELfbzQ033ICqquzevZuamhp0Oh1Hjx7lxhtvxGq1MjIyQiAQ0IapWywWTCaTWF4ULhsi6BIE4UPpdDoWL16M1+vFbDYzMDBAXFwcDocDgNjYWCKRCMFg8JxmuRRFYXx8XMuKyLI8pZ9YIBBAp9Ph9Xqx2+1iqfM0fD4fPT09JCYmEhcXx9y5czl8+DDFxcWnLWaPvq9GoxFFUbTXVlEUenp6yMzMRKfT0dfXR1NTE0uXLiUlJYXXXnuNnp4eiouLSUxMZGxsDKPRSEZGBoqikJSUpA3LFoRLnQi6BEH4QNGu4pmZmRiNRvx+P1lZWVqWw2QyEQqFmDlzplZ0HRMTc9Z/iSqKwuDgIAMDA9jt9imB1djYGImJifT29pKWlkZXVxfj4+NkZWWhKAp1dXWYTCZsNhter1frth4MBiksLMRms53Vc73QVFXF6/Wiqqq2W9BgMKAoCiaTiZaWFrZt20ZhYSHXXXcdRUVFfOtb3/rAYviOjg5KS0t57733tB2H0XYPwWCQ2NhYVFWltbUVi8VCaWkper1eG/+jKAoej4dgMEhmZiZutxuTycTExAQ2m01rLSEIlzIRdAmC8KGGhoY4duwYGRkZ1NXVER8fj9FoRJIkkpKS6OrqIjs7m+bmZgCuvPLKs95dPBpI6PV6fD4ffr+fmJgYPB4PLpeL5ORkLWNis9kIh8NEIhFUVdVq0AYGBhgdHcVoNGrtL6Id0i8lgUCAt99+G0mScDgcqKpKYmIiwWCQ0tJSkpKSSElJITk5WZt7aLfbteL4E0mSRFlZGfX19cyYMUNrHRFtqGq1WhkdHWV0dJTm5mby8/OJiYkhEAhomchoe4iokZERcnNzteVG0TNSuByIoEsQhA8VHdkiSRJOp5OkpCQAbWZetHGmw+HAaDSek/ocWZZJSEjA6/Vis9nw+XxYLBb8fj+xsbHExMQQCoUwGo0kJydrheCSJLF8+XLgeLPP7u5u7HY7CQkJ2u67S43BYKC8vByDwaAFnjqdDqvVqgWvK1eu1IIuRVHYv38/L7zwAv39/ScFQLfeeisrVqygsrKS+vp6cnJytGXI6HDzt956i5aWFhRFoaysDFmW8fv9eL1erFYrer2ecDiMx+Ohq6tLWx6OvpfhcPiSfC8EYTLRkV44H8RFdhGLZj8ikYj2i1OW5Sm1W5NbSESXss5FbdcHzQmc/LXTPfbk77nUd1h+0GtRX1/Pvn37yMvLY9myZfT09LB+/XrgeHDrdrspKSmhurqa4uJiNmzYgNfrJRKJ0NzczNq1a8nJydGC20AgQH19PSMjIxQXF5OdnY0sy/T09HDgwAGuuuoqHA4HXq9XG5ZusVgIBAJMTEwQDodJSUmZLsu8l/aFIVxQ4s8KQRA+UHSwdX9/P4FAADjewyu6vT+6e1FRFKxWK6mpqecsoPmwYdof9rg1NTXU1tayaNEivF4vhw4d4oorrqC1tZXx8XGuuOIKmpubGRwcZNGiRTQ1NeF2u5kxYwbV1dUYjUbWrVv3gZ3XpwtJkhgcHKSxsRGDwcDcuXO13aXZ2dmMjY2RlJSEJEkcOXIEv9/PX/7yF3bv3k1jYyM/+tGPqKmp4eGHHyY9PZ2kpCQcDgfd3d10dnYSDAa1xzGZTFRWVmqfR9+H1NRUrr32Wi3jGBMTo/X06urqIikpSevRJdpFCJcDEXQJgvChdDqd+pnBWQAAIABJREFUVhsUrcEJBALaL8toLZXBYGBoaAidTqeNfIn2aLrQVFXVltcmJiZobGxk2bJlpKens3fvXlasWEFsbCzbt28nJyeHhoYG3n33XbKzs+no6NCWMAcGBi6KoEtVVaqrq5EkieTk5ClF6q2trfj9fmpqaigsLMTn8xEXF0daWhoxMTH4fD5kWWbWrFkkJSWxd+9eZs2axZtvvsmMGTNISUnRlpAnZ9RODHqjEws6OjoYHx+fcrvL5SIYDBKJRJBlmYyMDLG8KFzyxBUuCMKHigZPoVCItrY2urq6tNoqs9lMcXExfX19hMNh+vv7taW+lJQUrrjiigt9+tpOy2igGAqFmDFjBm+++Sbz588nIyOD2NhYbDYbq1at4siRI2RlZVFSUqLVqo2NjWn1UH19fej1euLi4qZthubw4cNUV1druzszMzO1nYxpaWkMDQ1RXl6OLMs4HA78fj+jo6Okp6dz7NgxWltbSUhIYGhoiEAgQFZWFm1tbezatYuVK1dqjxOdv6nX68nOzj5lttFgMJCbmzul231PT49WoxedxSgIlzoRdAmC8KGiv0j1ej25ublkZGRogZXBYCAmJkbbrZicnExfXx/p6enTJiOkKAqHDx/G6/WyZMkSxsfH8fl8XH311Rw+fJiKigrsdjsAq1evBo4vf9lsNrKysjCbzbjdbhITE/H5fBw9epRgMEhFRQXJycnn/fmMjY3h9/uB4/V00d2a4XBY+1p2djZLly7Vur1XVVWxcOFCRkZG2LZtG0VFRdp7VlRURH5+PsPDw5SWlmIymbjzzjux2WwMDg6yYcMGBgcHycnJYcWKFTQ3N2vvraIo7Nmzh/j4eLKzs095vtEpBZFIRBueHs1sRSIRJEkSjXWFy4IIugRBOGOyLBMfH3/K26KNUuPj48nIyNDqeKYDWZbJzs7WmrcmJCRorQ5iYmJOKuBOT08nNTVVy5B5vV4sFouWKfL7/cTFxeF2u/F6vTgcDi1oOx/Gx8dpb29neHiYkZER5s6dy/DwMAaDAZfLhaIorFq1ipGREY4ePartFIwGl2lpaQSDQa0zvNPp5JFHHsFut6PX6/nRj37En/70J0ZHR/nmN7/JokWLePvtt2lsbKS1tZUFCxZoO1gBwuEwdrv9tO+3LMsEg0GOHTuGoigoioLdbicjIwOn03leXjNBmA5E0CUIwlkVbSMxnUiSdNrashPbW0iSpC27AfT399Pc3Mz4+LjW0yu6ocBisWA2mykrKzurQVc02Iu2ejhRSkoKsbGxWhsPo9FIZmYmJpNJayArSRLZ2dn09/ejKAoWiwWDwYDFYmHmzJnU19dro3xkWdbG+wCUlpbyk5/8ZMpjhsNhbYm1traW2NhYLYOVmpqKy+XSdrGeSFEUfD6fdp6hUIiOjo6z9noJwsViev1kFARh2lMUhfb2dgAyMzOB44X20V+4F+s4l56eHhoaGigsLCQnJwefz4fZbMbpdLJw4UItOAG0Jp+yLBOJRM56I1ifz0dVVRWKolBZWXnS8Y1G40m1ZNGg0mazkZ2drc0ztNvtRCIRVq5cqR1nYGCA/fv3Mzo6SnZ2tra5oKGhgYGBgZMapJaXlzN79mzsdjs2m4329nZtKVOWZWbOnMlbb71FdXU1eXl5J52b2+1mfHyciYkJAoEAwWBQLCcKlyURdAmC8JH4/X727t1Lfn4+kiTR2tpKWloa/f39ZGdnk5eXN22WFU8nFArhdruRJAm73Y7H42HLli3Y7XZKSkoYGBhg27ZtrF69GqfTidVqxe12YzAYsFqtWjPPSCRCfHz8WQ00FUWhqamJlpYWjEYjhYWFZxzUBQIBbRcpHF/qzc/Pp6amBvhnbV5mZiYFBQUUFhYiyzITExM8+OCDbNmy5aQebADf+c53yMvLY+bMmcTExJCenk5sbKxWp9XQ0MDw8DCvvfbaKcf5LF68mKKiIsbGxrSAK9o6QhAuJyLoEgThIzEYDKSlpZGamkp7eztNTU1EIhEMBgMDAwPk5ORM+xl6w8PD7Nmzh8HBQa666iqt6WdJSQkAhw4d0orDFy1aRE1NDX19faiqyqpVq9ixYwcGg4G4uDhWrlx5VrM20XmWNpsNg8Gg1ZupqqqNPAJITEzUgkeHw4EkSbzxxhvY7XZmzpyJw+FgeHiY2tpa4uLitCBHURTa2tqQJInm5mZmzpxJQ0MDW7Zs4etf/zorV648KVOVkJDAnj17eOWVV8jMzGTp0qXaEnK0Rm727NmnfU7p6ena+Cabzab19hKEy40IugRB+Eh0Oh35+fnY7XZcLhdz5swhLS1Ny65ciCzXyMiItgtxdHQUSZKw2WxaBmpsbAyr1ao1A1VVVduR2NbWxnXXXUdZWRlXX301mZmZmM1mDh06xPXXX4/L5eKtt96ioKCA3t5eOjs7cbvdXHPNNeTl5Z31+jWdTkdycjLNzc1EIhG8Xi+xsbH4fD42bdqEx+Ph2LFjfP7zn+e9997Tvm/VqlXs2rWLpKQkbDYbDodDy1pF+6gB2hieaLNSSZIYHR0lJSWF9evXn3bHaUVFBU1NTaSkpCDLMv39/fT29qLX67U5ji6Xi4KCglMGVF6vV+vvFu3fJQiXGxF0CYLwkciyrNVylZeXAxd+pI7X66W7u5uKigp27tzJ8uXLqa2txWQyMTo6yuHDh8nOzubmm29Gr9eze/duYmJiSEtLO2V/qGitVnQQs91up7Kykri4OOLj46mpqSEuLk4LNM82s9lMXFwcgJahCgQCDA4OMnPmTBRFweVy8f777zN37lyam5u57rrrmDVrFqWlpVp3+K6uLnJycujp6cHj8WA2m4mJieGaa66ZMpsyKSlJ2/l4uqCrtrYWVVU5ePAgBQUFdHd3c/jwYRISEhgbG9MCxOzs7NNmsaLBliRJIugSLksi6BIE4WO70MFWVHx8PEajkUAgQFpaGjk5OfT19XHkyBEyMzNJT08nPz9fW/ZMTU2loaGBSCRCRkYGgDasGyAmJobExEQ2b97MypUrueKKKzhw4AAOh4Nly5bhdDrPWcClKApjY2NYLBYikQhdXV1T6rr27t3LkiVLMJlMZGVlcc0117BmzRri4+PR6XQEAgFtU0NBQQG7d+/G6XRq3y/LMlarlWPHjmlLlaFQiPT0dDZu3Mj69etJS0ubEhSlp6cTDAZxuVx0d3eza9cuFi1axIwZM7RO9NFrYXLApaoqLS0tmM1mEhMTtfcImHY7XAXhfBADr4XzQVxkwjkV7aVlNBq10UShUAi/34/ZbCYYDKLX6zGZTEiSRDgcxuv1otPpMBgMGAwGAoEABoNBG9wd3WUXExNDMBhkeHgYvV6v9bwKhULExsae9V14iqLQ2trK0NAQCQkJdHZ2Mnv2bPx+Py+++CJZWVm0t7ezbt06qqurGRsbIycnh3Xr1lFfX8+OHTtYtGgRixcvpqqqigMHDpCYmMiaNWumFK9/9atf5fXXX9c+D4VCeL1erFbrSQHlAw88wM0334zb7QaOt8o4kxmbqqry6quvkpCQQGVlJcPDw1r7iEgkQnFx8Vl85c6a6fGXhHBJEn9qCIJw0YvWJ002ua1C9L8DAwN0d3dTWlqqLd9FTQ6eoh3So1/zeDy0t7drI4SKi4tpbm6mvLz8EwVddXV1hEIhjEYjcXFx6PV6urq6SE5OJi0tbcrooWiQmJqayrFjx7BYLHz605/WgsVof7H8/Hz0ej1jY2M0NjaSlZVFTk7OSYHUhg0buO22287oPAsLC0lMTNR6eU0OcvV6PcFg8KQ2E/DP/lxwvFYt2gg1FArR2dn5sV83QbhYiaBLEITLxtjYGA0NDcTGxpKfn/+hdUXR8UE+n0+rfdLpdPT09BAfH09LSwsjIyMUFxd/rB2b0XmHhYWF+P1+bSROtKu8y+XSRvzk5+ezYsUKRkdHuemmm8jKykKn003ZaajT6bTdjn19fVitVjweD319feTm5k4JvCoqKrSPDx48yLPPPktlZSUlJSWkpaVpdV6nMjIywqZNm8jNzWXZsmW89tprDAwMnHQ/VVUZGRkhMzNzSkd6YNqMiBKE80kEXYIgXDaiO+2indQ/jCRJxMXFaUuNIyMj2vgbv9+vDdD+uGUa0YL3yedy4rGit0mSRFpaGjNmzDijerKcnBxcLhfp6el0dHQQCAROm5WLi4tDkiSee+45RkdH0el0OBwOZs6cSWVlJbNmzdL6kRkMBiKRCKmpqSQkJKCqKgMDA9qOyckURSEQCDAyMkJ/f/+UAHG61AMKwvkkgi5BEC4b0WXDM50LKUkSGRkZZGRkoKqq9j3RwOiTBA6qquJyuWhtbcVms5Gfn09raysej4eCggJsNhttbW24XC7y8vLw+Xz88Y9/ZN68ecydO5fk5OQPfPyRkRGt2WlycjJFRUWnvW9BQQE///nPCYVCDAwMcOTIEd5//33eeustnnjiCe69915Wr16tBV6hUIi1a9ciyzLhcBi9Xs+iRYvIzc2dclxFUdi6dSsmkwmDwcD4+DhJSUmEQiFcLtcFGRYuCBeSCLoEQbhsWCwWsrKyPtLOw8mZphO/9kl4vV7+8pe/kJ+frwUiPT099Pf3U1NTw/Lly9m8eTNz5sxhYmICSZK0uq4zabeQkJDAvffei81mw2w2f+A5u91uDhw4QGNjI1VVVXR0dCDLMk6nk+985ztcf/31Wv+ygYEB9Hr9lNYPpaWlWoPWyaI7JePi4oiNjcXr9WKz2QiFQkxMTHzi11AQLjYi6BIE4bKRmpp6oU9BMzQ0hCzLrF69GqPRyPDwMJ2dnXg8HoaGhnA4HMTHx9PZ2UlxcTFJSUmkpaUxa9YsbYnzw5zp/fbt28f69evJz8/npptu4q677iI/P5/U1NSTAtSsrKwpo4J0Oh2LFi1CURSCwaB2WzQbOH/+fK32zGg00tbWpk01EITLjW7jxo0X+hyES9/GC30CgjDdhMNhDhw4QFpaGqFQiLa2Njo7O5k1axbt7e1cddVVpKam0tfXR29vL6WlpdTU1JCQkIDdbv/QPleqqmoNXhVFIRKJoKqq9vHk3lqSJGntM1paWjh48CAdHR0MDQ0RCASw2Wxa/60Ts2zRY3R2dvLuu+/i8/mYmJigvb2d3t5eIpEIQ0NDtLe3MzQ0BMDMmTOxWCxn+yU9Wx680CcgXLpEny7hfBAXmTDtKIqC1+vVApFwOIyqqlqxuKIo2k67uLi4sz5PUlEUqqqqqK+vJzU1lcrKSt544w2sVitWq5XZs2fz9ttvE4lEtHqpmpoa6urqWLJkCXl5eR94/GAwyOHDh3G73YTDYSwWizavcWxsjPLycmJjY7X7q6rKxMQEnZ2dNDQ0sGfPHvbs2UNvby/f+973+PznP6/d1+PxaLMqzWYzIyMjeDweuru7sVgsWCwWAoEAkiSh1+vxer3Y7XYaGhpwOp1ceeWV07kjvajwF84ZsbwoCMJlSVVVgsEgkUhEy/4A2u48SZJQFOWc7bKTZZk5c+ZgNBpJTU3FZDJxyy23YDabURQFnU7Hrbfeik6nY2hoiI6ODsrKyjCZTKSnp2sB4eSM1WTRmYtJSUmoqorFYtECpNjY2Cm7JIeHh3n33Xc5duwYra2tdHd3a4XuM2bMID8/f8qx3W43u3bt0vp/bdu2jfnz57N48WLttT3xXOD4kO5z+ZoKwnQngi5BEC5L0bYIUZPrkE78/FwFCWNjYxw8eJB169bR3t6O0+lkbGwMl8tFfn4+XV1d2gid3t5eMjMz6e3tJTk5WctgZWVlnbIVhMFg0Dq+Tz7/lJSUk4KixsZGHn/8cdLS0igqKmLZsmUUFRWRnJyM3W4/6fjRpcroa+TxeAiFQtrtp3u94uPjP/ZrJQiXAhF0CYJw2ToxOPiwz882q9VKZmYm8fHx9PT0MDw8jNvtRqfT0dHRQW9vL3q9HqfTqc1UjA7h7uzsJBAIkJubi9/v18YSner8A4EAAwMDxMfHExsbi9/vZ2BggOTkZCwWC5WVlfzxj38kLi4Oq9X6oc/bbDYTiUSora0lKyuLQCDA0NDQabvMezwe0tLStH5ggnC5EkGXIAjCBRLNRul0Oq2tQ7RzvN/vR5Zl7HY7iqIQFxeH1+vF6XQSiUSwWCw4HA70ej3V1dUcO3aM22+//ZSP4/V6eeGFFygsLNRmKD7zzDNce+21LF68WKsjO1Px8fGUl5dz4MABDhw4gNvt5r333mP//v2nvL/JZGLdunUnjV4ShMuNCLoEQRAuEL1eT0ZGBj6fj8zMTABtaLfdbichIQGr1Yosy9rtV1xxhTacOjp0OhAIsGfPHlwuFxUVFcyYMYMdO3YwPj7OsmXLKCgooLy8HI/HAxxfYiwuLiYYDKKqKs3NzbzzzjskJSWRkZGB1Wrl6NGjlJeX09/fTyQSobm5mby8PJYtW4Zer2fZsmWUlJTgdrt58803mTFjhnaOJ+rv72doaOgj90gThEuNCLoEQRAuIJ/Px969e7Hb7VoQZDQa8fl8jI6OsnLlSm2eYpTBYJiye1FVVVRVZf78+fz9738nPz+f5ORk+vv72bFjx0mF8JOFQiFeeOEF1q1bR11dHXV1deTl5dHY2EgoFGJ0dJT+/n4qKirIy8vTdh2aTCaysrIIh8PU1taSmZlJaWnpKR8jEAicNJBcEC5HIugSBEG4gIxGI4WFhVgsFnw+H11dXaSnpxMMBsnOztaK2BVF4ciRI2zevJkjR44gyzJlZWXcfffdSJJEeXk5hYWFAFRVVXH48GH0ev2Hdn4PBoNMTExQXl6Oy+Wit7eXY8eOkZ+fT1NTEwsWLGDBggXs3LmTkZERPve5z2k9u+D4LsySkpIPLJIPh8MYjcYP7S0mCJc68X+AIAjCBWQwGLRluUgkQkpKCkaj8aSdk11dXXzlK1+htbWVOXPmoNfrqa2t1Y4zuY/Y8PCw1ncs2py0paUFj8dDb28vqqrS1taGz+ejpKSEzMxMNm/eTFdXF4sWLeKVV15h6dKlNDY24nQ6GR8fJzs7m7q6OsLh8JSgS5IkZs2a9YEF8nPmzJnSxV4QLleiOapwPoiLTBA+oZdeeomvfOUrbNy4kbvvvhtZllFVFZPJxOjoqLZD8OjRoyQlJdHU1ITZbMbhcGAymTh8+DCRSISioiJUVeXo0aNahsxsNlNfX4/D4aCwsJDW1lbS09Pp6ekhMzOT9vZ2hoeHyc/PJzMzczo3Nj0bRGQonDMi6BLOB3GRCcLHEK3VUlWVp556ih//+Mf87ne/Y9WqVcA/G6NG+2VF/0WDohMbqE7ONE2+/6nuM/m26OcnPlb0ccbHxxkfH8dqtRIOh6ccz+/3o9frSUxMPOtd/c8REXQJ54wIuoTzQVxkgnAa0TFE0WBGkiQtmOnt7eWxxx6jsbGRhoYGjh07RmlpqdbU9fOf/zx33nknsiwTiUT485//THV1Nd/+9rfZvn07r7zyCm63m/Lycu677z5yc3O1x2xra+OFF15g9+7dhEIhZs+ezR133MHMmTPR6XT4fD4eeeQRHA4HiqLwxhtvcN1113H11Vfz61//mpaWFu655x6uu+46qqurGRgYICcnh66uLmJjYwmHw9hsNkZGRoiPj9eWRC8CIugSzpmL4v8AQRCES5XH46G1tZVAIAAcb5haVlamzS3Mzs7G4XAgyzL9/f0sXLhQK5iP/jeqo6ODbdu24fF4aGhoID8/H7vdTktLizbmSFVVDh06xJe//GWGhoZYtmwZJpOJnTt3smXLFn75y19yzTXXoCgKTU1NVFVVMXv2bPx+Pw899BBbtmzB6XQyMDDA//t//4/58+czb9487djRJqg6ne68dPUXhIuJCLoEQRAuoGh2a3h4GJvNhiRJhMNhDAYDSUlJfPnLXwbgySef5P333+czn/mMtrx4Ki0tLcydO5fnn3+ezMxMVFXF7XZrjUkDgQC/+tWv6Onp4dlnn2XhwoVIksSxY8f44he/yE9+8hNmzZo1pU3Fgw8+yMTEBDfeeCMGg4HHHnuM9957j8997nP09PSQnp4OHA+snE7nlPMRwZYg/NMlXQ0pCIIw3cXGxlJRUcH8+fMpKytj/vz5n6iBqMlk4t/+7d/Izs5GlmVtxmS0nqqvr49du3axbNky5s2bp+0qzMnJ4fbbb6e2tpZDhw5px8vOziY+Ph6Hw4HT6aSiogKr1UpiYiIAfr//k70AgnAZEZkuQRCEC0ySJC2I+aRiYmK0zNOpjI+PMzQ0RG5u7pTCdlmWte/r7u7Wvm6xWLSlQlmWiYmJmVJ0Hy3WFwThw4lMlyAIwiXkw/ph6XQ6DAYDgUDgpN2J0WHaRqPxtMcTy4WC8PGJoEsQBOEykpiYSF5eHtXV1Xi9Xu3roVCImpoaLBbLSQX6giCcHSLoEgRBuIwkJiayfv16amtreeqpp2hra6Ozs5PNmzfz17/+lbVr11JcXHyhT1MQLkmipksQBOEyIssyd955J4ODgzz99NP85S9/QafTMT4+zvz587n//vux2WxTsmCCIJwdojmqcD6Ii0wQPqFDhw6xf/9+Vq1apc1qnExRFA4cOEBDQwM33XST1kD1dHw+H3V1dTQ0NBCJRMjNzWXu3Lk4HA4kSSIUCvH2228TiURYsWIFwWCQV199lcLCQmbPns3Q0BBbtmzh2muv/cDC/YuQKFoTzhkRdAnng7jIBEG4WIigSzhnxPKiIAjCNNLT08Pjjz/OTTfdxM6dOxkdHeXOO+8kFArx7LPPYrfb+cIXvkBmZqbW8b23t5etW7dy8OBBFEVh7ty5XH/99WRlZU3Zbbh3715eeuklvvrVr9LT08PmzZvp7e0lPT2dz372s5SXl2v39fv97N69mzfeeIP+/n7S0tK47rrrWLBgwSfqIyYIlzMRdAmCIEwjbrebl156ibq6OmRZpqamhn379hEfH08gEODgwYOEw2G+//3vYzQaOXr0KBs2bKC1tZXZs2cjSRK/+tWvePHFF3n44YeZNWuWFnh1dnbyt7/9Db1ez7Zt27DZbMiyTFVVFStWrNCCLp/Px+OPP86vf/1rsrKySE9PZ+fOnTz//PP84Ac/4M4777xY5igKwvQyedK8+Cf+naN/giCcocbGRjU/P1/94he/qLrdbvXnP/+5Ghsbqz788MOqy+VS7777bvXqq69W3W63GggE1HvuuUfNyclR//GPf6h+v1/1+/3q+++/r86ZM0ddv369OjY2ph37xRdfVOPj49XKykp1x44dqsfjUf1+v9rd3a16PB5VVVVVURR1+/btak5Ojnr//ferw8PDajAYVHt7e9U77rhDLSkpURsbG1VFUS7US3SuXeifl+LfJfxPtIwQBEGYZvR6PeXl5dhsNvLy8khMTGTOnDnExsaSnp6O2+0mEonQ2dnJzp07Wbt2LUuWLMFkMmEymaisrORTn/oU77zzDkeOHJly7HA4zGc+8xmWLVuG1WrFZDKRnp6O1WoFjvfr2r59OwB33HEHsbGxACQkJHD99dfT1dVFdXX1+X1BBOESIfLDgiAI04wsy9rw62gH+ej4HVmWURQFVVUZHR1laGiIGTNmIMv//Btar9eTk5NDKBSis7OT+fPna7cZDAYKCwunjACaLBgM0tbWxuDgIPfeey8mk0m7bXR0lEAgwMDAAKqqiu70gvARiaBLEARhGpocRMGpx+/Isowsy0QikSlfV1VVm4l4YnAVHYL9QQGTJEnY7XauvPJKLdM12fz580XAJQgfgwi6BEEQLlJJSUmkp6dTW1tLKBTSdhWGQiGampowm81kZ2d/pGOaTCaKiop4//33ufvuu7Xi/ChVPd4BRgRdgvDRiZouQRCEi1RaWhq33HILb731Fps2bWJ4eJjh4WG2b9/Opk2bWLVqFQUFBR/pmHq9nmuvvRaTycSvfvUr6urqGBoaYnBwkMOHD7Njxw48Hs85ekaCcGkTmS5BEISLlF6v57777qOnp4cHHniAzMxMZFmmu7ubkpISvvWtb2Gz2T7SMSVJYt68eXzve9/j4YcfZv369cTHx6MoChMTE2RlZfGHP/zhIx9XEATQbdy48UKfg3Dp23ihT0AQLhaqqqLX61mwYAHp6ekoioLdbmfevHkMDw8zODhIRkYGaWlpBAIBAoEApaWlpKWloSgKBoOBVatWcffddxMXF0d8fLxWHxY91pIlSzh8+DC7du2irKzspPoxnU5HWVkZy5cvJzExkfj4ePLz81m1ahV33nknKSkphMNh9Hr9pbjM+OCFPgHh0iXGAAnng7jIBOETGh8fZ9++faiqSlJSEuFwGIfDwfDwMB0dHSQlJZGYmEhDQwMOh0MrgK+srDzlTsXvf//77Nq1i9dff/20HeY9Hg/btm3DYDBgsViw2WzExMTQ29uLTqdj5syZJCYmntPnfQFcclGkMH2I5UVBEISLQExMDAsXLgT+uWtRp9ORkZFBaWkpOp0OnU5Hdna2tjtRVdWTslgfhU6no7CwkEgkgtFoxOl0YrFYMJlM2n8FQThzIugSBEGYJnw+H0NDQ8TFxTE0NERycjKyLNPX14fD4cDhcBAOh+ns7MTpdGK329Hr9RgMBtrb27FarSQnJ2vHC4VC9Pb2Mj4+jk6nw26343Q6p2S+/H4/nZ2dhMNhnE4nTqdTC9TMZjMVFRVTdiyqqkpsbOyluKwoCOecCLoEQRCmiaamJh588EHy8/N57733WLRoEQ6HgzfeeIOioiJ+9rOfEQqF+Pd//3c2bNjApz/9aQAikQj/+Z//ycKFC/nud7+LqqoMDg7y5JNPsmPHDgKBAJIkUVBQwE9/+lMyMjKA48uHP/rRj6iqqmJ8fJzExETuv/9+rrrqqilB1ek+FgThoxFBlyAIwjQRCoWoq6tj9erVVFRU8OMf/5j169fzwAMP8NBDD1FfX09RURGjo6P4/X7t+1RVZWxsTGvlEAgEePzxx9kgJEt0AAAgAElEQVS6dStf+9rXmDNnDn6/n4mJCZxOp/Z9R44cYfXq1fzP//wPHo+HH//4xzz++OPMmTMHs9lMS0sLer0eWZbx+Xx4PB6MRiOBQIDi4mLi4+PP+2skCBczEXQJgiBMI1arlaVLl2IymXA6nSxZsoTKykocDgcjIyNndIy+vj5effVV1q9fz1133YVef/xH/Ykbp9LS0vjSl75EdnY2iqJw44038oc//AG3241er6evrw9VVbUasUAggE6no7e3l9zc3LP91AXhkieCLkEQhGnEbDZjMpkwGAwYjUatfupU434mmxxQDQ4O4vP5KC8v1wIuOHlpMDExUasBkySJ2NhYwuEwkUgEk8nE/Pnz8fl8BINBjEYjRqORkZER9Hq9Nv9RLDcKwpkTQZcgCMI0IkmSFshM/vjE+0wOsgKBAMFgUPvcYDAgSRJ+v/8DA6PojsfoMU98jKGhIRoaGhgYGCAjI4OkpCRGRkYIBAK0t7eTnJwsgi5B+AhE0CUIgnARMRqNWK1WWltbCQaD6PV6Ghsb6erq0u6TkZFBamoqr7/+OitWrMBut6OqKpFIBL1ef8q+XaeSkpKCxWJBURQtQMvKykKSpA8dmi0IwslE0CUIgnCehEIhXC6XFgBFl+gsFgsOh+OMjuF0Olm5ciXPP/88Pp8Pu93O/v37sVgsU+7zla98hY0bN3LPPfcwe/ZsfD4fbreb+++/n5ycnDN6LLPZjNls/ljPVRCEk4mgSxAE4Tzxer3s27cPRVHwer1EIhEkSSIzM5PFixeTkJDA2rVriY2NRafTsXr1apKSkjAajRQVFWE0GhkbG+Nf/uVfMJvNvPPOO9hsNm6//XZKS0tJSUkhEomg0+m44YYbSE9P58knn+T3v/89paWlrFy5ErfbjaqqGI1GKisraWxspL+/n9LSUpKTk0lNTdVaSJSUlHyi5qqCIEwlxgAJ54O4yASB4/20vF4v4XAYWZZRFIWenh4yMjKw2+2nXa5TFIXa2lpCoRCpqal0dHTgdrtxu92kp6czNDQEgN1uZ9GiRVitVgCGh4d5+umnKSsro6Ghgblz59Lc3Mxdd93FY489xpo1a9i6dSulpaUcPnyYz372szz66KN86lOfIjs7m6KiostxCfGye8LC+SMyXYIgCOeJTqfTZiJGRYOtDwpuZFmmpKQEVVUxGAxTOsIbDAatZ5dOp8NoNGrfNzw8jF6vZ+3atQwMDKDT6QiFQuzfv5+EhAS8Xi/Hjh0jOTmZhIQEQqEQ6enpLF++/LTzGAVB+PhE0CUIgnABnbh8p6oqXq8XWZan1GmZzWYURUGSpJOakkYzWyey2+1EIhGqqqoYGRlh6dKl+P1+/u///o/bbruNhIQEiouLWbVqFQaDAb1erzVDFQTh7NNt3LjxQp+DcOnbeKFPQBAuFuFwmN27d+N2u0lLS5uSAdu3bx9tbW3ExMRgMpk+NENmsViIjY2lsbGRmTNnUlFRgcPhIBgMctVVV5GSkoIsyzQ0NGAymcjMzMRkMpGTk3M5LitGPXihT0C4dImaLuF8EBeZIJyhSCRCQ0MDkUiE2bNnTwl+nn76aTZv3kxWVhZXXHEFCxYsICcnB6vVejkHSWebeCGFc0YEXcL5IC4yQThDkUiE5uZmJEmipKRkym0tLS289dZb7Nu3j+7ubkwmE2VlZSxevJg5c+aQlJQ0pQP9ifr7+3E6nXR1dWEwGMjMzDzXT+diJIIu4ZwRQZdwPoiLTBDOUDgcpqmpidTUVBISEqbcpqoq4XCYsbExGhoa2LNnDzU1NbhcLlJSUqisrGTx4sUUFRVNKbYHGBkZ4YknnmD+/PnIssyRI0fIy8ujrKyM2tpaUlJSSElJobq6moyMDGJjYzl8+DAFBQWUl5dfTpm0y+aJCuefCLqE80FcZIJwhsLhMO+88w4AlZWV2O32U95PVVUCgQC9vb1UV1eze/du2traCIfD5Ofns2jRIhYsWEBGRgZ6vZ5wOMzvf/97rr32Wo4cOYKiKLS1tVFSUsLw8DBXX301W7dupaOjg5SUFDweD16vl4KCAm688cbLaTejCLqEc0bsXhQEQZhmVFVlZGSEUCh02vtIkoTZbCY3N5fY2FgsFgtbt27l8OHDNDY2cujQIV5++WVWrlzJzTffTGJiImlpadTX15OQkIDNZsPv9xMTE4PVasVms1FWVobX66WwsBCdTkdjYyO5ubkfuGQpCMKZE5ku4XwQF5kgnKFopkun07FkyZLTtm8Ih8N0dnby7rvv8u6779LV1UVSUhJXXXUVlZWV9PT08Pbbb9PY2MiCBQu47777sNlsRCIRwuEwkiSh1+vx+/1YrVZ6e3ux2Wzo9XoikQgmk4mOjg5SU1M/sHHrJeiyeaLC+Sf+fBEEQZhmrFYrRqPxpEBHVVUmJiZoaGhgx44dVFVV4fF4KCoqYsOGDVxxxRUkJiYiyzJz585lxYoV/O1vf+Pll1+mrq6OZcuW4fV62bFjBwBpaWn09fVRWlpKX18fGRkZHD16FLfbzYwZM6iurtYGZguC8MmJoEsQBGEaiRbLJyYmnhR0vffeezz//PO0trZisViorKxk9erVlJeXn9Q2QpIkbDYbK1as4JVXXmFgYAA4niELBAIADA0NYTQacblc+Hw++vr60Ov1pKSkAGhzH/8/e+cdZlV5ru97916n7ukFBoaRjihViqIgdjEhUVGjsaSceBKT/GKO6TGexERNTEyuFAskOSomxiAWREARkQ5Sh6lMb3v2nt3LWr8/uPaXGWcwNpDgd1+XF8Mua6299sL1zPu+3/NIJJKPBim6JBKJ5H2iqiqqqo5YiRr8WDQaJRwO4/V66enpwePxDBlIz7w+mUyi1WrR6XQYDAZmzZo14n4PHDhANBpl2bJlzJ07l9LS0nedt9JoNBgMBiwWC2azWTxmtVqZMGECOTk5dHR0kJ+fT09PDwaDAavVilarFeIrY8IqkUg+PHKmS3IqkBeZ5IwiFArR0NBAdnY2qVQKVVVxOBy0t7dTWFhIe3s7RqMRj8fD4cOHmT59Ojt27KCyspKBgQHC4TAOhwO/309+fj719fVkZWUxatSodxU4ra2tGI1GsrKy3nNUTywWo6mpidzcXDweD6lUimg0it1ul2JqZORJkZw0ZKVLIpFI3ictLS3U1tYCEAgEAPB6veh0OiKRCPv37ycvLw+32y2qYlqtlkgkwsGDB4HjuYgGg4Hu7m50Oh12u/3f7rewsFD8rCgK6XQajUaDTqc7oYAym82MGTNG/D2ZTJJMJjl27BhGo1FsQ1VVLBYLXq/3A58XiUTy7kjRJZFIJO+T/Px8YrEYubm5WCwWFEXB5XLR2tpKdnY2o0ePxuVykUgk0Gg09Pf3E41GSSQSlJSUkEqlsNls6HQ6EWwdCAT+raM8HJ/JampqYs+ePaI1ePnllwPHBWA4HCY7O5uenh5MJhPZ2dnAcaf7WCxGT08PjY2NdHV1YbfbicfjOBwOPB4Pbrdbii6J5CQi24uSU4G8yCRnHJn/d2YqTOl0GmBI2y/zXF1dHUePHsVqtWIymfD7/Xg8HiwWCxqNhng8jsViQa/XU1VVdcJ9ptNpXnvtNR599FE6OjpIJpNMmDCBn/3sZ2i1Wl599VWefPJJvvjFL9Ld3U1hYaHYXiAQ4K233hKO9IM/Q2aeTKfTidmvTzCyvSg5achKl0QikXwABrfz0uk0e/bswWw2U11djaqqHDlyBFVVqa6uxmq14vP50Gq1KIqCx+PBZrORlZVFPB4nnU4Tj8eHCJ6enh6OHj3K5MmTMZlMABw7downnngCm83G5z//eV5++eUhx5Sfn09vby/79+8nOztbCEH4Vzty8FC9RCI5tUjRJZFIJB8SrVaLqqooigIcryDt27dPiK78/Hzy8/PF7NQ7KSkpIRwODxFD3d3dbNy4kerqaiG69u7dSygU4o477mDy5Mns3r2bgYEB4LgIzMrKwmKx0Nrais1mIx6PixWSVqsVm81GY2MjPp8PjUYj5sGsVuspOEsSiUSKLolEIvmQZDIQc3NzSaVSon2XTqfp7e0lkUjgcrmwWCzAcSuJYDCIqqo4nU4Rw6MoCr29vSSTSeGlNZiuri6sVivl5eUjrl40GAzodDpSqRS5ublDPLaSySTBYJC6ujrMZjM6nQ6A3NxczjvvvJNxWiQSyTuQoksikUg+JEajEYvFQlNTEwUFBfh8PlRVZf/+/fj9fgYGBvB6vXzqU5/CaDTy4osv0tjYSCqVwmQyce211+LxeNixYwfr1q3D4XCQTCZJJBLD9qOq6oiZjKqqEgwGicViYmVkJBIhFAqJbMYZM2YMq7R9goKsJZKPnfdm9CKRSCSSE6KqKsXFxXi9XpxOJ3B8hspgMHD11Vfz2c9+lo6ODpqbmzEajcyePZubbrqJz33uc/T09NDc3Ew0GuX555/nvPPOY8WKFZSXlw8TVxUVFUQiEXbv3k0qlRryXCwWY8OGDUQiEcaPH8/o0aOpqqoS1S6dTofH48FqtaLT6XC5XHg8HhwOx6k5SRKJRFa6JBKJ5MOSSqVIp9P4fD6cTifpdBqtVsuoUaPIyckhGo3icrkIh8MoikJbWxu1tbUkEgl6enqIx+MEAgHi8TiVlZU4HA4qKyuFp1eG8ePHM27cOB599FHq6upoa2sjlUrx3HPPsW/fPrE6cfz48cN8vxRFob6+nj179hCJRLjgggtIJpNEIpEhPl4SieTkIStdEolE8iGJxWLU1dWJOSn4VwTPO01LDx06xN///neKi4s599xzycrKAhDvzaw4TKfTYjA/g9Pp5Oabb2b8+PG89NJL1NfX09TUxMMPP8zWrVuZPn06N99884hGqxnT1pqaGlwuF6lUCp1OR319/Ud6LiQSyYmRlS6JRCL5kDidTubPn/+erBgikYhYaej3++nt7QUQxqSbN29m6tSpbN++nVgsNuS9Go2GwsJC7rzzTurr62loaCAQCGC32ykvL2fUqFHC++udJBIJdDodZWVlNDc3A4ihe4lEcmqQoksikUg+IIOH0g0Gg7COgOMiSqfTiQigoqIinE4nxcXFNDc3s2bNGnw+HwsWLBCD75/+9KdZs2YNa9asobKyEqfTOcyhXqPRYLFYGDduHOPGjRsSsv1uWYpmsxlVVamrqyMajdLf309XVxd5eXkn4cxIJJKRkI70klOBvMgkZyQZ2wer1Yrf7yc7O5uBgQG0Wi3xeBytVovBYCAej6PX69Hr9SQSCYxGI7FYDJvNNqQ61tfXh6qqIg/RYDCQTCbR6XTitZksx8HGp+8k4zA/GFVVaW9vZ9u2bfT09GA0GikqKuLcc88VVhYSQDrSS04istIlkUgkH5BgMEhWVhY6nY5YLEYymSQUCpGdnU04HCYSieBwOAiHw+h0OgwGA8FgUKwYzBiiZkxTe3p66Ovro62tjUQiIUSc0+mkurqagoIC2tra2LhxI4cPHyYSiYx4XNOnT2fZsmVDHtNoNPh8PhYvXkwkEhGZjxlx9s5YI4lE8tEjRZdEIpF8QOx2O0ajUcxFZWwiotEoVqtVeGA5nU7hr2W327FarcLcNJlMioie3NxcXC4XPp8Pk8kkXONVVcVms9HV1cUvfvEL9u7di8PhOKGTfDAYHPZYptJVX19PIpEQIsvr9VJTU0NfXx9ut1tGBEkkJxEpuiQSyTASiQSpVIp4PI7NZkOr1TIwMCBMQKPRKMlkEr1ej81m+8RWR9xuN3B8IL2kpARAiJaRzslI1SS/34+qqoRCIUwmE263W4imzOrFTDVq586dHD58mIsuuohp06Zhs9lIJBKk02nS6TROpxOtVovRaKSvrw+v1yv2Ew6H2bJlC16vF4/HI47BbrcPEXcSieTkIUWXRCIZxvbt29myZQsWi4VFixZx9OhR3n77bUwmExdccAF//vOf8Xq9pNNprrvuOnJzcz/uQz5teDcBOtJzDocDVVWx2+1iFsvj8QwRQFqtFo1GQ2trKy6Xi4suughVVQmHw7S1tWE0GkUGYzqdJhwOk0qlhoiuRCKByWRixowZw6pZ0WiUUCg0otWERCL56JCiSyKRDCMQCGCz2bjhhhtIpVL84Q9/4Ctf+Qpbtmzh9ddfJxKJcMstt7BmzRoaGxul6PoQvHN1Ipw4msdgMGA0GsnJyRFeW1VVVWK4Xq/XoygKWq1WhGQnk0nhbK/T6ejo6CAnJ0cIQJ1Oh6IoJBKJEfMcJRLJR4cUXRKJZBiqqpKfn4/JZBItLq1Wi1arRVEU3G43LpcLk8k0Yg6g5OQwatQoXnnlFZqbm5kyZQpGo/GEc10Z6uvrOXjwoGhhrl+/HpfLJVqWOTk5TJw4UQouieQUIEWXRCIZhs1mE5l9ZrOZWbNmsWrVKgAWLlzIa6+9hlarxel0SruBk4SiKASDwSHWEEVFRYwePZpVq1YRjUaprKwc0fXeZDKJVqHP58Nms51wPyaTSQzqv9NmQiKRfLRIny7JqUBeZP9hxGIxVFUVsz+pVIq9e/ei1WqZMGEC4XAYu91ONBpFr9djMpno7u5Gr9fj8XiA43Nh48aN+7eVGMnIDAwM8Itf/IK2tjbxmEajIRaL0dLSgslkwuv1juhAP3v2bK699tohj2UWRlitVvH6wY9lti+RPl2Sk4esdEkkkmEMHrROpVJs2rSJw4cPM3r0aLZu3UpPT8+QWSKr1cqBAwcYPXo0qVSKLVu2sHfvXioqKqTo+oBoNBrR0h2M0WgkOztbVLiCwSAWiwVVVUmlUmg0GuLx+LDtBYNB3n77bWbMmCFmxgKBAHv37mX+/Pmn5DNJJJ90pOiSSD7BZFbAZW7smVaWVqsllUphs9kIhULU19dTVVVFJBIhEAhw4MABcnJyaGhoQFVVFi1aJFbQdXZ24nK5hAGo5P3T1dVFNBrlzjvvHBZ67ff7eeGFF0REkEajwel0EggEyM3Npa2tjdLSUvH6jBiLxWJEo1FisZj4noPBIH6/n66uLpxOp/TokkhOMlJ0SSSfYGKxGAcOHMDj8dDV1UUymSSRSKDRaOjt7WX+/Pm43W5sNhvNzc0UFRXR0dFBVlYWBQUF9Pb2otFoMBqNNDU10d3dzYQJE9ixYwdGo3HElXmSf084HKa/v5+SkpJhLT+j0cj555+PoigYjUaR7xiNRsnPz6eiomLYDFdDQwP79u2ju7ubgYEBsc1EIkFFRQXhcBin03nKPp9E8klFznRJTgXyIjtNSafTdHd3i6xAjUaDTqcjlUqhqip5eXkYjUbhmq7X60WVxGAwDFnZmEgkxOPJZFKIMTkn9P4JBALEYrFhYdSZ832iczrY4DTzmkylq7W1lf3791NTUyPEsNlsxmAwEAqFyM3NPaFVxScMecFKThry11CJ5AzmRL9UDfZoeueNfSQG34wHr3DT6XRiW5kwZkB4REk+GN3d3bS1tZGbmztEYK1Zs4bW1lZWrFgx4qrRQCDAypUrOfvss5k+fTqACM72+Xzo9Xp8Pt+Q7zAUCtHV1YXH45GiSyI5yUjRJZGcoaiqSmNjIytXrmTHjh2kUinKysq48sormTdvHlqtVoQsr169mldffZVkMsmsWbP4zGc+Q35+PgCPPPIIer2elpYWmpubue2229i+fTsbN25k+fLlXHLJJaICtnPnTv785z9TW1uLz+dj+fLlzJ07V7YZ3ydut1s4zA/m2LFj1NbWDrGRGIxGo2HPnj0YjUYhujIYjUYKCgoYGBggGAyi1WqFY308Hj/hNiUSyUeHdMOTSM5QgsEgd955J6+++ioXXHABS5YsIZVKcfjwYfEav9/Pt771Lf70pz8xZcoU5s6dyz//+U++9KUv0dXVBUBtbS0PP/wwOp2Ouro6br31Vurq6rDZbPzsZz+jq6sLVVXZuHEjn//85wmFQlx22WVYLBZuvfVW1q5dKzP93id6vV74pL0fdDodWq2WUCg07DlVVTl8+DAvvPACb7zxBq+99hrPP/88nZ2dssolkZwi5K+fEskZSjAY5OjRo3z+85/n5ptvxmg0oqoq6XRaVLk2bdrEpk2bePjhh1m4cCEA8+fPZ/ny5fzzn//kxhtvBI67lt91113k5+fz05/+lFtvvZXe3l6+9KUv0dPTg8Ph4JFHHmHy5Mncf//9OJ1O4vE4PT09/OY3v2HhwoXSOuJ9YDKZKC0tRaPRoCiKqEIpioKiKEOifTKoqsqxY8fo7+8fsfUYDoepra1l9uzZ5ObmoigKBw8eZO/evYwZM0ZWuiSSU4AUXRLJGUpubi4XX3wxjzzyCA0NDSxdupQpU6bgdruB4zfwPXv24PF4OOuss8TsUFVVFaNGjeL111/n+uuvByA7OxuLxYLb7SY3Nxen00k0GhUD+D09Pezdu5fp06fzzDPPiG3F43EaGxvp7e2Vout9MFg01dbWsm7dOpLJJG+//Tb9/f38/ve/H1aZSiaTHDp0iEgkQk1NzbBtJpNJdDodWVlZ4r0+n49Dhw6JVZASieTkIkWXRHKGYjKZuPvuu5k2bRpPP/00d955J1VVVXzjG99g2rRppNNpIpEIVqt1yMyV0WjEYrEQDAZFWzDT6sqsbnzn6rlkMkkkEmH//v3DZpHmzp1LS0sLer0enU5HMpkkGAxis9koKCiQ814cr0I1NzdjNpuJRCJkZWXhcrmwWCwYDAZSqRRHjhyhra2NeDzOa6+9Nuw70Gg0uFwurrrqKqZOnTpsHxnn+oMHD+Lz+Uin0xw6dEj8LCtdEsnJR/7fTiI5g3E6nVx99dUsXryYPXv28J3vfIef/OQnPProo9hsNvLy8ujv7yccDpOdnQ0cX83W29vLuHHj3rPdg8ViISsri6uvvpo77rhjSNVEURT27t1LY2MjsViMUChEMpmksLAQr9crMgI/yaTTafr7+4Uotdls4rxUVFTwhS98gUAgwOOPP86RI0e4/fbbh7UQM3YRPp9PzHVlzFMz+xg7diz79+9n3759mM1mPB4P48aNw2azSWNUieQUIEWXRHKGEgqFaG9vJzs7G5PJxNixY5k4cSK7du0imUyi1WqZOXMmjz/+OGvWrGH58uXodDrWrVvHsWPH+K//+q/33HLKyclh/vz5vPjiiyxatIhRo0ahqiqhUIhEIkF1dTWqqhKPx2lqasLlclFQUCBMPTUaDRqNhmQyicVi+cS1upxOJzNmzBjmsZVBr9eTlZVFVVUVnZ2dVFRUDBOrwWCQDRs2YLFYqKurIxaLieqXoih0d3dTUVFBdXU1mzZtYuzYsWzZsoW2tjY+/elPD4sbkkgkHz1SdEkkZyitra188YtfxOl04na7CQaD1NfXc+utt+JyuQCYNGkSt956K4899hgbNmxAr9dTV1fHpz71KebNm/eeK11ms5k77riDe+65hy9+8YsUFhYC0Nvby6xZs5gxYwZOpxOr1Up3dzeRSISenh4URREtTpfLRSAQ4Oyzz/7EVL9UVaW7u5t0Ok1eXh4ajUbMymUqV6qqilimsrIy/H4/Op2Ovr4+FEUhKytLiNZUKkUgEAAgEong8Xior6/H7XZjtVopLi4mkUhgNpuJxWI4nU7h3yWRSE4+0pFeciqQF9nHQDQaZcuWLRw6dIhwOIzD4WDixIlMnjx5SCspFouxe/dudu7cSTqdpqamhunTp4somVdffZVoNMrFF1/MoUOH2LlzJ5dddhkDAwO88MILXHjhhfh8PuH59eabb1JXVwdAaWkppaWltLa2MnbsWNxut7CYyAzWx2IxLBYLWq0WRVEoKCj4xJirJpNJ7rrrLnp6enjkkUcwm8288cYbmEwmNBoN6XRazL91d3djNBrRarWcffbZ3HvvvQwMDPDTn/4Ul8uFqqoEAgGCwSAtLS3odDosFguBQAC32y3OcywWIxaLYbVaKS8vR6vV4nQ6ZXLAv5AnQnLSkL/eSCRnKBaLhQULFrBgwYJ3fd3evXvJzc3ljjvuGPH5we8fO3YsY8eORVEUtm/fzrnnnovP5wOOt8RycnK45JJLhrw/mUxSUVGBw+FAq9WK2bEzjcbGRmHz8E7S6TTxeJxUKiWqUpnFCb29vXR3d4vWok6nIzs7m1QqBRyvIiYSiSEzdkajEbvdjlarFa1YjUaD2+2mr6+P5uZmbDYbLpcLnU5HJBIRorivrw+r1UoymcTpdH7iWrkSyceJFF0SyRmGqqr09fUJ08uMZ1amypSdnU1/fz+dnZ1kZ2dz4MABHA4HqVSK4uLiIQPakUiElpYWkskkHo+HvLw8UqkUdXV1rFy5kunTpxOPx/H5fOTk5Ih2WU9PD06nk4KCAgwGAzabjba2NtxuN+3t7Wg0GoqKiggGgwAi7iYajdLe3k5paelpKQYSiQT19fXEYjFcLhdms5menh6Kiopob28Xn7Wvr49YLEZhYSEdHR3E43EURSEQCKAoCi6Xi/z8/GECVKfTMXXqVFHpUlVV+HG90yLi61//OqqqDgu3LikpEZXHzDlUVVWIvUx+IyDnuCSSU4wUXRLJfxj9/f0cPHgQg8GA1+slEAhgMpnEXE5eXh6PP/442dnZlJWVYTKZOHz4MMuWLeMPf/gDV111Fc888wwlJSVUVVURDoc5cOAATU1NVFRUcOmll6LVagmHw/z4xz+ms7NTRMZ8/etfJxaL8c9//pO33nqLUChEXV0dixcvJicnh9dff50//OEPwnLiyiuv5Morr8Tv93P33XdTUVFBb28vqqry1a9+lR07drB161a++93vYrPZeOWVV1i7di3333//aSm6UqkUkUiEVCqF3+/HZDKJPwcGBmhubqa6upojR47gdDpxOBzCimH06NEYDAYxo6XVaofYNCiKQkdHh5jZys3Nxe12D3Gmj0ajNDQ0iCqYxWKhoqJiyLnS6/Xo9XqxSKGjo4NIJIJOp8PpdJKTk4PBYJDtRInkY0CKLonkP4xIJG1M20QAACAASURBVEIgEBBzPC0tLTgcDux2O+l0mvz8fKxWKz09PUybNo1AIEAikRDvPXLkCDk5OSxfvhyNRsPbb7/NggULKCkpYd26daRSKYxGI/39/Wzfvp1vfetbTJkyhUQigcvlwu12c8MNN7B3716uu+465s2bh06nY2BggD/+8Y8sWbKEpUuXcuDAAb7zne8wY8YMdDodR48e5fzzz+drX/saqqoK36innnqKuro6qqureeGFF5g1a9YHisA5FWi1WhwOB6qqoigKoVAIg8GAxWIhPz8fu91ONBqlsLCQdDqNw+FgYGCARCIxpKWYISO6VFXlySef5Omnn6a3txdFURgzZgxf/vKXOeecc0RFqq2tje9+97t0dnbS29tLVVUVK1euHGY8q6oqBw4c4Fe/+hV79uwRlTa3282CBQv46le/Ks1qJZKPASm6JJL/MPLz80U7TqPRUFpaCvzLZkBVVa666ioOHDjAqlWrWLp0KaFQiO7ubvr7+zGbzQwMDAhLAa1Wi81mE9WRzGxRbm4u11xzDQ8++CBlZWVce+21eDwetFqtcDA3GAxi6N3v99Pb28vEiROx2WzU1NSQTCZpb2+nqKgIh8PBtGnThqxMLCoqoqamhg0bNmAymejo6GDWrFmnbRXGZDJRWVkp/j54dWFmxSYcrzYqioJGoyE3Nxe73f6uiwPq6+t55plnWLFiBWVlZdTW1vKrX/2Kn//85/z6178mJycHON46fOCBB+jt7eV//ud/iEajI+ZahsNhHnzwQY4ePcpXvvIViouLiUQi7Nu3D5fLJVcrSiQfE/JfnkRyGqMoiripD/ZwylQ+3vmzqqqEw2HWrFlDa2sr55xzDmPGjOGNN97gySefZPTo0UycOJH29nYeeOABzjnnHPLy8nC73VgsFoqKisT29Ho9N9xwAxdddBEvvfQS3/zmN/ntb39LeXn5kP1lMBgM6PV6IQTi8TjwLzf7TNtrMDqdjsWLF/Pggw+KYXGfz3faiq6M0B1MOBymra1NGM1mVgN2dnZSWFhIa2srRUVF72o+mk6n+eIXv8iSJUsAmDZtGu3t7axatYpjx44J0WUwGCgoKMDtdmO328U5fieJRILGxkYqKyu58MILcTqdwPFczcznkEgkpx4puiSS05gXX3yRzs5O5s6dy8svv4xer2f27Nk0NzfT1NTE5MmT2blzJ1arlWnTprFjxw5UVeXyyy8XN1qAO++8c8h2M5mK76SoqEj83N3dzRtvvEF+fj55eXlDhrqNRiNer5fNmzfjdDopKioiJyeHqVOn8pe//IVoNMrWrVspLCykoqKCUCg04v40Gg3jxo3D7Xbz9NNPc9999w0bGD/dCQQCYs5r9+7d4nwcOnQIm80m5rgyw+wjUVBQwOTJk8XzBoOB4uJiUqnUsFil94LNZmP+/PmsWrWKb37zm1xxxRVMnjwZr9crPMAkEsmpRy5dkUhOU1RVJTs7WxiIAkyePJna2lq6urpoa2ujubkZu92O0+lk+/btHD58mFAoNMTl/UT/KYpCbW0tnZ2daDQaBgYGCIVCaDQa8ee+ffv45S9/yYsvvsgtt9xCKBQSfk833XQTkUiElStXUl9fj16v55ZbbqGoqIhVq1YRCoX4/ve/j91ux2w2M3PmzBFNT61WK5MnT8bn8zFhwoT/OEGQmedyOByUlpZSXFyMoihC4ITD4X8rnGw225BViIMrmB/ES9FkMnH77bfzta99jdbWVu666y5uuOEG/vCHP9DT0/OBtimRSD48stIlkZzGpNNpzGYzBoOB6upqsrKySKfThMNhRo8ejdfr5c0336Sqqoo5c+bgcrkwGAy43W727dvHvn37OOecc6ioqBhRzLS0tKDRaMjKyuLgwYNiFumJJ55g9uzZ3H777Tz22GNccskl+Hw+nn76aRFSHYlEhPu8RqMhEonw0ksvcd555/G5z30OVVVJp9N0dHTgcDi45ZZbMBgMhMNhsXpPo9EQDoc5cuQIl1566ZDq3DtRVZVUKjUkT/B0wOPxAMePb/z48cDxtnBlZaXwLsu0YhVFGbHSNFhkfVS43W5WrFjB0qVL2bVrF88++yy//OUvOXToEN/73vdwOBwf6f4kEsm/R4ouieRjJhKJMDAwICwEEokEiqKQTCbJycmhoKAAOB58rKqq8HcymUx0d3czduxYJkyYQDweZ8qUKUKk/f3vf+f73/8+v/vd76ioqBi2X51Oh9vtJhQKodVq6evrA47nKIbDYex2O0ajkVAohMPhwGQy4XQ6SafTbNiwgWPHjlFQUMCyZcswGo1Eo1FisRhGo5Hdu3cTjUYJBoMkk0ncbjfd3d04HA6ysrKIxWJUV1fz9ttv8/TTT2O321m8eLE4joz/VE9PDzk5OQwMDJBMJqmtraWoqIji4uLTsg0ZCoVQFIVgMIjJZCKVSpFMJrFarRgMBuLxuFgEcTIZPP+XnZ3NBRdcwMyZM/nud7/Lxo0baWlpobq6+qQeg0QiGY4UXRLJx0xXVxfBYJBoNEo8HieRSNDd3T3EuTxjPBqLxejp6cFutzN69Gj6+vrw+/3s2rVLOJTb7XamTZv2b/cbj8dpbGwkEolQU1OD3+8nFAoxYcIE8vPz8fv9lJeXk5ubS19fHxqNhubmZoqKinC73fj9fkaNGiWG4+12OxUVFWRlZXHo0CECgQC5ubkUFRXR09NDaWkpqVQKk8nE0aNHmTFjBlOnTqWsrIy8vDxcLhfhcJjVq1ejqqqYY5s+fTqtra3U1NTQ3t5Oa2urmHk6HdFoNNhsNrH4IeOhpdfrRYzPByFT6Uun00QiEdLptGg9a7VasVBBo9HQ29vLrl27KCsrE23Ovr4+AoEANpttiAGuRCI5dUjRJZF8zBQUFJCVlSUGrTPhxpm5K1VVMRqNKIpCKpWioaEBq9VKRUUFBQUFFBcXY7fbcTgc+P3+IdEw74ZOp+Pcc88VOYjnnXceGo0Gg8HApZdeSiKRQKvVsmzZMuD47NWVV16J3W7HarVy1llnYbfbhwx/n3POOVgsFmbPno2iKFitVnQ6Hel0WlTyMp5cVqsVm802zJXdbreTm5srnOszVRtFUfD5fGJ7pxsajQan0znivNRHUdmKx+OsXr2aPXv2EAwGOXjwIPF4nG9/+9s4nU7Ky8u5/vrrsdvt9Pf388tf/pL+/n5hEREIBEgmk9x0002ieiqRSE4tUnRJJB8zRqPxPZuBqqrKxIkThTjLZPBlqmIZw9H3cpPX6/VDbr6DfaYyc0rAEFGU8QSDoSsdAVFlA4TFwUjHX1lZidlsHvEYbTYbF110EYqiYDQaqa6uxu12M3r0aHQ6ndj/6dhazPDOz5WpUGWsPwb7qamqytKlSwmHw+h0OlKpFDqdDo1GQ01NDbfddhsFBQW8+eabNDQ0sH79evr7+yksLMRqtWK328nJyWHr1q3U19fj9XqZM2cOra2tfPvb3+a5556jr69PVCAnTZpEdXX1aWs+K5Gc6UjRJZF8TKTTaXbs2MHRo0eZNWsWBQUFbN68ma6uLubNm0dubu6w92g0GlHFikQiomWV4UStq+bmZjZu3EhTUxN6vZ6amhpmzZqF1+sdIhJSqRQdHR3s3btXtAgtFgujRo1ixowZ+Hw+sQ+/38/jjz+ORqPh+uuvx+12D9mnqqrs3r2b1atXM3PmTJYsWSKqQYqi0NLSwpYtWzh69CjpdJry8nJmzJgxJHcxM+z9bh5XpzuZWbdkMim8zNLpNKqqEolEuOCCC0SskNFoxOVyYTQamTBhAhMmTBC+a+l0mjFjxmCxWFi8eDFNTU1s3ryZ888/n0AgwMUXX0xTUxO7d++mrq6OSy+9lFGjRjFlyhQx4C+RSD5epOiSSE4RyWSS1tZWjEYjubm5NDQ08Ne//pVzzjkHo9HI/v37+fvf/87ChQsxmUwEAgExSJ6Jk+ns7MThcGC1Wnn66acpLCxk8uTJZGVl0dHRQSwWw+fzDYl4OXToEI899hiNjY1itaCiKFxyySX8+Mc/xufzidcePHiQL3/5yxw4cACDwYDBYCCRSBCNRpkyZQo/+9nPmDRpEnBc4G3evJkNGzYwbtw4Fi5cOETAKYrC7373Ox577DHOOuss8Xg6nWbTpk388Ic/5MCBA5hMJpETWFFRwT333MOFF14oooUaGxuxWq0YjUYx1xYMBtHr9WLAf2BgAJPJRDAYxO12U1paetqscMwIY7PZPMyvy263Y7FYxKyWwWAYUTjb7Xa8Xi/JZJK+vj7eeustEokE8XicUCiE2+1mypQpaLVaQqEQo0eP5o033iCZTI64iEIikXw8SNElkZwi1q9fT0NDA6FQiIULF9LX10dXV5eYT2poaKCvr0+EKj/33HPo9XqCwSCf/exnefzxx/F4PJSWljJ69Gh27txJIBDA5/PR3d3NmjVrKCoqYubMmZSVlYn9PvrooyxatIh77rmHvLw8Ghsb+d///V+efPJJzj77bG6//XYhArKysjj77LNZtmwZEyZMwOv14vf7+eMf/8jKlSv57W9/y0MPPYTBYMDhcLB48WLWrl3Lyy+/zJw5c4ZE3bS2trJ+/XpGjRrF7NmzgX9lAn79618nEonwgx/8QAz9b926lfvuu4+77rqL0tJSxo0bRzgcpqGhAUBkTQL09fVht9vx+/0UFhbS398vZr0yc2Cni+jKiNeR2o7AkEzGdzvmwW3juro6ampqhgzrD04mGD9+PA888AAXXnihzFiUSE4jpOiSSE4Bqqryj3/8g5ycHCKRCPX19SxatIitW7dy/vnnk5uby7nnnsvRo0dZuHAhLS0tbNq0iYkTJ9LY2Mju3btJJBJcd9114sabaRFOmDCBo0ePEo/HMZvNw9p8RUVF3HvvvcJPq7q6mkgkwk033cRbb73FjTfeKFaz5efn8/3vf3/IKjtVVfF4PKxbt463336bQCBAdnY2Wq2WOXPmUF5ezrp16/jCF75ASUmJ2O/rr79OU1MTX/rSl8TsWDKZ5Omnn6a2tpb777+fFStWiNWPZ511Fh0dHfzoRz/ib3/7G9XV1eTk5DBjxgz0ev2QFXeDRZVOp6OsrEw89l5n2k4VJzqWwY9nhGImmFxVVfx+P3l5eWg0GmbMmCG80M466yz0ej11dXWcf/75FBcXk5OTg91uF3mXVquVvLw8qqurT6tzIZF80pGiSyI5RWRlZbFo0SJKS0v/rTGlwWCgsrKSq6++WhiKvv766yQSCVEZ0el0RKNR0uk0hYWFXHfddTz77LNs3ryZiy++WGzr/PPPH5JnqNVqxTH09/eTSCSEoNFqtZjNZqLRKD09PYRCIRKJBF1dXRgMBiKRiBAGAMXFxcyfP59HH32UN998k+LiYjQaDfF4nGeeeQaLxcLll18uBFwoFGLDhg2YzWYcDge7du0a8rkdDgdarZa33npLVHAyg/xnunhQFIUtW7ZQUlKC2+2mpaUFh8PB9u3bqaqqEitAbTYb6XSasWPH0tHRQTKZFBFChYWF+P1+/va3v3HWWWeRn5//cX8siUQyCCm6JJJTgEajYdmyZTz//PNs27aNq6++Go/HQ2FhoViJlwkz1ul0lJSUMH78eJ588klKSkq47LLLqKqq4qGHHqK6upqlS5cyefJkXn75ZVKpFNnZ2axdu3bEGZ7y8vJhc0KZdlTGkiJDKBTi2Wef5amnnuLo0aMiM1FRFDo6OoYNZBuNRhYvXsyqVatYu3YtS5cuxWq1cvToUd58800mT57MxIkTh2y/s7OTrq4ubrjhhmHHlU6nicfj9Pf3D2m/nYhAIMCrr77KokWLzog2mtVqpbW1FZfLRU9PD7FYDJPJRG5uLi0tLSLCp6enR0QHtbS0MHr0aHGeXC4Xy5cvF0P7Eonk9EH+i5RITiKtra00NDTg8/kIh8NMnz4dr9dLZ2cntbW1jB49msbGRlpaWgiHw1xxxRXC9uGKK64glUoJ48tPf/rTwlJAp9MxdepUJk6cKCJ1ysvL0Wg0w260g+es3o14PM5Pf/pTHnjgAaqqqrjxxhs566yzcDgcBINBvvCFLwx7j0ajYcqUKUycOJFNmzbR0NDAuHHjePHFF+nq6uL//b//NyRTMBOFU1BQwFe/+lWysrJGPJbc3Fy0Wi2xWIzm5mZSqRQAPp+PSCRCa2srPp8Po9HIkSNHOO+882hvb6ewsJDe3l5aW1sZPXo0brf7P6pCVlhYiE6nw2AwiJWKY8eOFXYcpaWluN1uLBYLTqdTpBYM9jPTarWicvlehKtEIjl1SNElkZxEAoEA/f39JJNJ4vE4FotlSBXHarUSDAYxm80oiiI8mvr7+9m7dy+KojBx4kQ8Ho8QWxkURaGhoQGn0ykEyIehqamJVatWkZOTwx//+EdqamrEfFRjY+MJ7Siys7O56KKL+N73vsemTZsoLCxk7dq15Ofnc8EFFwy54dvtdrKysohEIixYsIAJEya86zG1t7fzyCOPoCgKWVlZjBkzhvLychobG1m7di3XXHMNiqLw8ssvMzAwwPz58/nrX/9KRUUFL730El/72tf+Y+wmtFqtWEmq0WhECzpTwcvKysLr9QrT2cwQPRwXVw0NDeTm5mKz2UTGYzQapaurS6zmlOJLIvl4kaJLIjmJVFdXD8u4G1yVGPxz5u8AsViM3bt3s3LlSu6//37mzJkzbNvxeJzf/OY3TJ8+nc985jMf+lgHBgYIBoOMHTuWkpISIbIURWHPnj20t7eL7MVMBS4zvH7hhRfy61//mrVr1zJmzBj27NnD4sWLKS8vH7IPu93O3Llz+eUvf8maNWsYO3YsRqNxiGFoZnYpYyRaXFyMw+EgOzubrq4uWlpaaGtro7GxkWg0SmNjI/X19Xzve98TPlWZcxiJRP5jRNd7EUQ9PT28+OKL9Pb2Mm/ePPbt20dBQQGTJ09m8+bNLFq0iG3bttHQ0EB+fj4ul4sXXniBa6+9ljFjxpz0z5CpZL7b6tGTEe4tkfynIEWXRPIhUVWVZDIp4nqi0ajIwYvH48KHKhaLoaoqZrMZvV6PoihEo1HMZrOI/kkmk5jNZvLz87nhhht4/fXXh+0rlUqJjMaPkqysLPLz8zl69Cjr169nzpw5JJNJtm3bxr333ivE1q5du3j77bcpLCykra2NsWPHUllZyaxZs3j99dd5/PHHicViXH311cNanUajkeXLl/PSSy/xq1/9CkVROP/883E6nUSjUdra2ti1axfXXHMNY8eOBRCxRpkKYHNzM1dddRVNTU2oqkpeXh5FRUVs2LCBmpoaJk6cyIoVK9BoNEOc9c8EEomEyLw0GAx4PB7mzZuHoijYbDYGBgYIhUJMnTqVI0eOMG7cOMaPH09lZeUpqXL19vbS1NQkRLnJZCIWixEKhcTP48ePH9H4VyL5JCBFl0TyEbBu3To6Ojq4/PLLueeee5g3bx6zZ8/mkUce4bbbbmP9+vW8+uqrKIrCzJkzWb58OT09PTz44IPcdddd5Ofns2XLFjZt2sRXvvKVIXNQgwmHw/z+979n165d5Ofnc+zYMaZPn/6RfIbCwkJuueUW7r33Xm6//Xby8vLEPq+66iry8/NpaGjAYDBgsVgIBoOYTCbMZjNWq5WlS5eydu1annnmGaqqqpg+ffqwG33GQ+r+++/nBz/4Affffz+//vWvMRqNwp8sJyeHyy67DDheGcvE1vT19Ylg7Oeff14ItcLCQs4991w2bdqEoihMmjSJ1atXM2bMGPLz88+oltrAwAAAbW1tlJaWUlZWJsRoIBDg2LFjGI1GYrGYWPxQX1/Phg0bmDdv3kmPT9Lr9RgMBpxOJ6lUCq/XS0dHB3D8u29ra0NRlJN6DBLJ6YwUXRLJhySTeXjkyBGam5tpampi3759lJaW0tPTw44dO3jqqae4++67MZlM/PjHP8br9VJTU0N9fb2oWAUCAZqbm08Y5qyqKps2beKVV17hhz/8IX19fXzrW9864XFNnTqVW265ZcS2UnZ2Ntdeey0lJSViFsxgMHDLLbcwbtw4Nm7ciN/vJysri9mzZzNjxgzWr1/Pvn37mDFjBi6Xa9g258yZwy233ILf7+fcc8/F6/WK4O5UKkUsFsNmsxEOh5k5cyZPPPEEmzdvZu/evQQCAWw2G5WVlUyfPl1UubKzs1m0aBGJRIIXXngBn8+HyWQSIi0zSL57927GjBlDX18fCxcuHGKZcSZhs9koLy/HaDRSVlaGwWDA7/fjcDi46aabSKVSNDU1iXzGRCLB7NmzR/y+TgYul2vICleNRiOqWqlUiqKiomE+chLJJwkpuiSSEVBVlXA4jKqqImLG4/GI39I1Go2IbdFoNJSVlTEwMMCuXbuYMGECAwMD7Nu3j/LycrZt28bUqVOZPHkyWq2WBQsWsG7dOmpqat73Me3cuZNp06aJTL5MvE6m7ajRaIhGoySTSRYvXszChQuJx+M0NTVRVFREKpUiGo1SXFzMT37yk2H7MJvNLFy4kIULFw577pJLLuGSSy4Z8dgys1VLliyhtLSUw4cP09PTw8GDB9HpdLjdbo4cOcLs2bPZuHEj48ePx2AwMGnSJC644AK8Xu+7fna9Xs+8efOGxOhk5oKSySQajQaDwSDyDc9UiouLKS4uFn/PnOOamhpMJhN6vZ7KysoRZwZPRcVvpH1kHjMYDEMipySSTyJSdEkkI6AoCm+++aYQV319fUyaNInW1lbS6TQulwu/38/EiRPx+Xx4PB70ej2HDh1i0qRJ7N69m507d7JgwQL2798/ZNXhO+NqMjfFeDx+wirX4OPKbGuwPUQwGGTLli3U1NQQDAbFvNhbb72F2+2mrq6OqqoqnE4ntbW1XHzxxcN8rVRV5ejRozQ3N1NWVkYsFiMvL4++vj7C4TD9/f3U1NRQV1eHqqoi/Doz/N7e3i5meTJidM+ePRQVFZGTk4PT6cRqtWKz2cQxtbS0sGTJEuC4cAuFQni93iHnC44Pxff39wPHZ7xycnKGWWEkEgn6+/tFCy47O/uM8O56NywWC1arddh18063+9OBeDxOZ2cn6XSa7OxsOjs7RbKBoig4HI5h37tEcqYhRZdEMgIZ5++MG7zX66W2tpb6+nry8/OJRqNYrVa6urrw+XxYLBa8Xi+7du1ixYoVtLW18fzzz7NixQqcTie///3vOXLkCCaTiU2bNnHBBRdgs9lIJBIcOHAAVVXZvHkzsVgMOH6DCgaDJBIJMRxttVoZP348K1eupK6ujr6+Pg4dOsScOXOIRqOkUilyc3Pp7++nvb0dVVVpbGzk7LPPJjc3l76+PrxeLw6HY8RqUDwe5/nnnyedThOLxQgEApjNZrKzs1m3bp24QR4+fJhFixZhNBrZsWMHcHyVZiKRoKioSJizZmdnM3PmTBwOB0VFRfT396PVaoWgczqduN1uYY2wevVqnnrqKR566CFKS0uHHNvOnTtFS1Wr1fK73/1umN1Ea2srd911F21tbfT19fHQQw+xaNGij/za+KB0dnaKc6DX69HpdASDQbxeL1ar9QO13RRFoa+vj8LCwpNwxB8t3d3dvPrqq8RiMSZMmMC2bduYNm0a/f39GAwG5s+f/3EfokRy0pGiSyIZAY1GQ3l5Oe3t7ZSVlYnqVEFBgRgcNxgMYh7KaDRSVVVFS0sL+fn5jB49mpycHEpKSnA6nTQ0NHD//fejqio1NTUsXboUi8XCVVddxWOPPYbH4yErK4uKigq0Wi0vv/wy69evp7+/n6eeeooDBw7wuc99jnnz5rFnzx5+8IMfkJeXx8SJE3E4HDgcDtGyywwyB4NB9Ho9qqoyfvx40uk0WVlZhMPhEdtwer2e8vJyuru7qaysJB6Ps379eubNm0d9fT16vZ6ioiKCwSA+nw+9Xi8EREFBAXPmzBGPZxg85D9jxgzgeMZiOp2mrq6Oc845R1Q3dDodJpNpxGrHlClT+M1vfsOzzz7LQw89RDweH/aaoqIifv7zn7N7925uvvlmIpHIh78QPkKCwSCdnZ3E43HxvQSDQfLz83G73bhcrvddlUqn0+L7PN3RaDT4fD6i0Sitra3iOm1tbaWgoEC650s+EWgGewRJJCeJ/8iLbCT/rHebj4lEIsTjcVwuF4lEgnA4jMfjQavVkkwmheFp5rFM5aitrY1IJCKEXCqVwuPxDPGX0ul0ZGVlodPpiMViYuWgTqcbFgad4a233qKlpQW3201VVRWpVIpgMEgkEqGkpESEUA8mFosRDoex2Wwi29FisYi2kN1uJ5VKYTKZ8Pv9vPbaa5xzzjn4fD50Oh1Wq/UDt7Myvlput/uEPk6rV6/mG9/4Bn/5y184++yzR3zN/v37WbRoEQ8//DCXX375BzqWk0EymURRFOFDBv8K7s7kab7fc9fX18fq1au5+OKLR/w+TzWKojAwMIBOpxvybyVz3Wbm7wBR1d26dStz5849nWwkTo9+rOSMRP5qIZGcgFAohN/vF9EsMFRsJZNJ2trayM/Px2QyYbVaxQyR2WweIppCoZCocLS1taHRaMRqvlAoRCwWQ6PRMDAwQDgcJi8v74Q3UYvFMqLIeiculwufz8e+fftoaGggGo0KV/yBgQFUVaWzs5POzk4RMfPO4zYYDLS1tfHKK69gNBoxGAzk5eWRSqXE9js7Ozl8+DB5eXlMmjQJo9HIY489htls5pprriEej/PAAw9gsVi49dZb0el0PPXUUxiNRq688krWr1/P3//+d9Eeve222wgEAoRCISwWCzqdTjyXQVVV+vv7RbUtmUwKr7PTlX834J+pfNnt9mGiM5lM0tfXh8fjEdXVzIzb7NmzcTqdJ+eg3yfxeJw333xTLELR6/Xk5eWRTqdJp9P4/X5yc3PF9xQKhYR3nUTySUCKLonkBOzYsYMnn3yS++67T8wdDSYYDLJy5Upuuummf7sqa/369bzxxhv86Ec/3qtI/QAAIABJREFUGhbHMrjakakODG61qKpKJBKht7eXgYEBEomEuKFZLBYcDoe4GQ/ebsYQM5PNFwqFxKxaZgC+traWVatW0d/fz69//esRVxG6XC5mzJghqjFWq1UMzGeqdiUlJaI6BtDc3MzOnTu56qqraG1t5YknnsBkMnHFFVfgcrlYvXo1c+fORavVUlRUxJQpU3j++efZtGkTn/70p+nr6xOfW6fTYbPZhgiqzLHbbDZ6e3tRFIVAIIDJZBLfhaIoYvYtU71LJBIYjUZhUZEZRM9UZyZMmHDS3NJ7enro7+/HZDKJRRM2m42uri5KSkro6upi9+7dzJ07F7/fT0lJCceOHcPpdNLT08O2bdu48MILsdvtwPHYJjhuDXK6YDAYqKqqEiKrsbERq9WKw+HAZrMRjUYxmUyEw2EsFovIyZQdF8knBSm6JJITkEwmiUQiJ7wheDwe/vu///s9BUonEgkikQgGg+E9r9BKp9McPnyYZ599ltdee42mpib8fj/RaFS432eyDIuKipgxYwY33ngjOTk5wL+EW2Z/mQrJ4FbpzJkzURSF3/zmNyf8nDabjaqqqhPaEIzUcp00aRLPPfccgUCA+vp6srOzSafTNDc3U1paSldXF2PHjkWj0TB27FjGjh1LJBLh8OHDWCwWzj333CHH8E6hqtVqqaqqEk7sVquVcDiMTqcjEAiI97jdbnEekskk3d3deL1esrKyRHs2kUhgsVgwmUwndaXfgQMH2L17NzabTWRpxmIxTCYTHR0dxONxotEor776Kl1dXcyaNYu6ujouuugigsEgZWVldHd309LSgqqqZGdnEw6HT9rxfhD0ej1lZWXA8euruLhYzBmORF5eHhUVFe+pciuRnAlI0SX5xKKqKjt27GDv3r0sX76chx9+mJKSEi666CKeeOIJHA4HwWCQhx9+mPr6eiorK7n11ltxu93s2bOH3//+9yiKwre//W3RCkylUmzevJl//OMfDAwMMGrUKG677Tbg+PzNT37yExoaGpg6dSorVqw4oaVBLBbjT3/6Ez//+c9pbGw8Ydusu7ubhoYGtm/fzrFjx/jsZz877DWRSIQnnniCHTt2oNVqWbx4MUuWLBECMGPvMFh09fb28sQTT3D48GH0ej3XXHONWCX53HPPsXHjRiwWC8uWLWPatGnDhGRlZSWJRIL29nZ2797NuHHjSKVS7NmzR+yrsrIS+JdYG/znv2vFxWIxDh06hE6nY2BgALPZTDgcxu12i1aVRqPB6/UOqd5lFkVkOFH25ckgNzeXoqIiLBYLer2ecDhMUVERDoeDeDxOc3MzFouF0tJS7HY7hYWFIug7Y6BrNpvZsmULRUVFtLW1EQqFmDhx4mnlTTb4exx8fbe2tuLxeIY8lqliSiSfFKToknzi2bZtGwsXLuS1116joqKCiRMnsmfPHubNm8fhw4dZvHgx8+bN47777qOgoIDrrruOqqoqrrvuOv7nf/5HVBtUVWXr1q387Gc/4/rrr6e8vJxIJCIqYXv27GHZsmXMmjWLH//4x5SXl3PRRRcNO55UKsVjjz3G3Xffjd/vH/b8O1uTGaZOnTpie1BVVfLz8/nc5z5HS0sLDzzwAGeddZYQPSPxzDPPcPDgQW6++WZCoZAwhn3++ef529/+xh133EFnZyf3338/3/nOd4YZvebn52O1Wmlubmbbtm0sWbKEQCDA3r17sdvtZGdn/1tD1HdDURQikQher1e412fyLtva2k54rjIZjicSWidTgI0ZM4aqqira2tro6urC5XIJXzGDwUBhYaFoHcbjcQ4dOoTBYGD79u2UlpYybtw4YcSbaQ8Dp2V49GD/uQz/93//x+LFi6mqqhoSpv7O1rqqqiM+f7r4jUkkHwYpuiSfWDQaDcXFxSSTSXbt2kVZWRmKovD222+Tm5uL3W6nqqqKq666Co/Hw5w5c2hoaEBVVaxWK8XFxaJlB8dvFhs3bmTKlClcccUVw6o/kyZNEpmCkydPpqGhYcTjqq2t5cEHHxwiuEwmExMmTODss88WA+/RaJTOzk4aGhro6Ohg/vz5Iw4kWywWpk2bRlNTE2azmWQySTAYHPF8ZCgvL+fZZ59l9+7dLFiwgLKyMhKJBK+88gpLlixh9uzZxONxtmzZwubNm4eJLo/HQ1lZGVu3bqW7u5tJkybR1dXFSy+9xM6dOykrK/tQw99Wq5VJkyYJETX4pj1YdA2mubmZvr4+qquraWxsJBAIMHXqVAKBAA6HQwSJt7e3Y7PZ8Pl8Q77fD0vmOLVarVi5lxEnqqri9XpRVZWuri50Oh3xeFzsPx7//+y9eXjU9b32/5p9n0kyyWSybyQECBCCEHZZVARcsYJ1pW7t00VRUdu6nKNUPbZKPbWtfazL43a0KpUqIrIJIvu+J4SE7JNlJpPMTGaSWX9/cH0/zUCCeE5/rT7P3NflJUlmvtt8k8/9fb/v9333CyIik8kIhUL/rWnH8yEWi+Hz+cR1UCqVYl9SpqJSqRSRTpKuD84Q3lAoRHp6OgqFgq6uLrZt2yasMWQyGdXV1XR1dYnQ80AgwGeffYZer+d73/se+/bto7m5mXA4zMKFCzl8+DAHDx4kJyeHa6+99v96o9sE/t9AgnQl8P80zGYzBoOBw4cPU1xcTHt7O3v27CE/Px+tVovZbBaLj1KpPG9YbywWExOJEhkYCEl0LongB9NQxWIx1q1bR11dnfieRqNh2bJl3HvvvaSmpp6z3UgkQnd3NzqdbtBFeN++fTzzzDNUVFRgNpvp6+v7WuHyzJkzSU1NZeXKlSxdupQ77riDuXPnivOTbADUajWBQOCc98vlcsaNG8dnn32GRqMhOzsbo9FId3c3x48f57rrrhMtsYHEA85UN87WiQ2sgkj/l7RaZ5+ztK1oNBpXKfF4POzfvx+3201xcTFtbW10d3fz8ccfU1xcTFdXl4hz2rlzJ1dddRWpqannvU7/HWRkZMQNXpxdeZOyMof6jI4dO8bhw4e54YYb/uHeVg0NDTidTuBMQoDNZsPr9YqKrdVqxePx0NPTg9PpFF5bqampBINBMWGqVCpxOp309vaiUqkIBoNoNBpmzZpFNBpl+/btHDlyhNLSUhoaGvjyyy9xuVxkZWVx2WWX4XQ6WbNmDZWVlWzfvp2xY8eKyKsEEvguI0G6Evh/GiqViuzsbLZv384DDzzA8ePHWblyJdOnTz9vSyMUChEMBolGowSDQVENKCkpYd26dTQ2Ngotzjep6Pj9fnbv3h1n/nnRRRexdOlSZDIZ3d3dRKNRXC4Xubm5+Hw+NBoNcrkcn88nhOQmkwmtVotMJmP79u2kp6ezdOlS6urqePvtt4G/5zUGg0EikQj9/f2Ew2EUCgVut5u8vDweeugh3nnnHT766COuuOIK4SQ+a9Ys3G43TU1NzJw5c9BzKS8v59lnn2X+/PmkpKSg0Wgwm81UVVUxcuRI4IxlwMaNG2lvb2fLli04nU7eeustcnNzGTFiBJMnTxYVtubmZnbu3El3dzfvv/8+R44coaioiClTpqBSqdi+fTvV1dWcOnWK3t5ePv30U1wuFxkZGcyaNQulUolerycUCuF0OnE6ncJKo6+vj2g0ilarxefzEQwG/yH2E5FIhOPHjwNnHOmDwSAVFRWkp6cTjUaprq6mpqaGaDTKyJEjKS4uBqC2tlYMXzQ1NVFcXExJSQlVVVW88cYbOBwOVCoVaWlpXHzxxf+t+JxAICDu3a6uLuDM/WcymcjIyBCJBIWFhaKqJZfL4yKsJP2d9H2p8qXX60U7t7+/H5VKRWpqKpmZmfh8Purq6kTM1MiRI8nNzWXNmjXk5uai0+mIRqPI5XLsdju33norubm5/+PPIoEEvg1IkK4E/q9GJBIhGAwKAnI2FAoFxcXFbNq0ifz8fPx+P5FIhKKiItra2jAajeJ9Wq1WLAgfffQRe/bsoa2tjT//+c9MmDCBa6+9lssvv5zq6moeffRRDAYDKSkpPPDAA2LSUIJerx+0Fejz+YQVgIRZs2ZhsVj44IMPGDZsGGq1mlOnTgGIQOlAIEA0GiU1NZXDhw9TUVEhiOPUqVPZsmULjz32mJguk8vldHd38+6777Jv3z5qamr4zW9+w+zZs5kzZw6ffPIJGzZsQKPR4PP5+P73v080GuXKK6/kt7/9LUuXLiUYDDJmzBimTJmC3++nt7cXv98vWlFqtZrZs2czZcoUWlpaCIVCzJw5k5KSErRaLTU1Nfj9fj766CPa2trQarVUVlZy5MgRtm3bxrRp04Tp6tq1a2lsbMRkMnH11VfjdrvZvn07Pp+PiRMnolQqOXr0KLt37wbge9/7HgA7d+4kMzOTSZMmkZ+fj9FoxGg0EovFSEtLw2g0kpaWRkpKCn19fUQiEbKysigrK/uHVJHC4TDvvfcehw4d4qKLLsLhcLBmzRqefPJJVCoVn376qTCsffnll3n55ZfJyspi/fr1rF+/njFjxsQNHkjTi729vaIN+d+1WwiHwzQ1NYnMSqk6azQaxT2lVqtJTk4GEF5oEpGSMjaHgsFgQKPREI1GhenvQDPfSy65hPr6egKBgKgsS9c8NTWVkSNH0tDQQGpqKqNHj/5vnWMCCXzbkHCkT+CfgX/ZTSa1LhYvXjykPsfr9eJyucjOzhahvNnZ2WIxkhZ+p9NJJBLBZrPR0NAgDE/r6uoYP348ubm5KJVKAoEAra2tBINBLBYL6enpokUjk8kIBoM4nU4MBgNWq5X+/n7S09NRqVQ0NjYyb948UR0BeP3117n55pvZunUrTqeTKVOmcODAAYqLi6mqqhJTYiqVir6+Pjo6Opg4cSIlJSXIZDKi0SgOhwOPxyOsGwKBAF6vV1QcJJd7u92O2WxGo9HgcDhEqLfVasXpdBKLxejp6RGVkYsvvpj8/HxaW1uprq4W7cbk5GRBJmKxmFik7XY7WVlZ7NixA7lcjsViQS6XI5PJxAItCakjkQhOp5OsrCyUSiU+n49JkyYNai8g+T/J5XJ27dpFWVmZmIqLRqOcPHlSxO38M9Hf38+//du/IZPJWL58Oe3t7dx7773ce++9TJs2Da/XSygUIhAIcOutt7J8+XImT57MH/7wB7Zu3corr7yCyWSKE5e/8MILeDwefvGLX/yPpxbPHhw4nxXIoUOHCIfDlJaWcvToUYxGIwUFBbhcLtLS0nC73Wi1WuRyOQcPHiQ5OZmcnBzx/nA4jMlkEtmeRqORpqYmYrEY2dnZ+P3+OONfr9eLw+FAq9XGGRT/E5BQ7Cfw/xsSla4E/q9GMBjk6NGjqNVqcnNzqaioYO/evbS2tjJu3DiysrLYu3cvzc3NaDQacnNzsVgsnDhxQixo+/fvRy6XM336dHp6ejh58iSdnZ1UVlayb98+1qxZg0qlIiUlBYfDwbFjx8jIyGDixIliG1K23unTp3E4HKSlpdHX18fJkyeJRCKYzWZUKpWozA2E5FBeVlaGQqHAbDYzYcIELBaLMEUNBAJ4PB76+/uxWq0imDoSiaBQKIT+yu/3I5fLMZlMJCUlodfrCQaDyOVy1Go1brebUChEbm4uubm5BAIBLBYLgUCApKQkVCoVSUlJFBUVodFoBImxWq1UVFSIc5DL5UL/FovFiEQiAEKMfemll4qvJQ2WtNDHYjFUKpUgYJJ7v8fjOac6KJHA9957j1mzZpGTk8Pq1asxGo3YbDZSUlLw+/3U1tZisVgwmUx4vV76+/vRarWYTCZ6e3vxer3IZDKsVit9fX34fD7MZnNcdfK/C8mVXalUYjabMZvNuFwunE4nr7/+Op2dncKrS7pOcrmcgoIC0Zr+JoL5WCxGKBSK07UNnAYEzpnijEajcbmXkqg+GAwKLWJPTw/Nzc2EQiHMZjP9/f3s27ePnp4e1Gq1SFVQKBS0t7dTUVFBZ2enINWRSESY0Pb29mIymeImaM/+bKXsUGnYRXqAiEajKJVKOjs7xWRuAgl8V5AgXQl8JxEIBDh9+rRwR1cqlaL95/P5UCqVwqqhq6sLu93Op59+SjAYZMeOHUyfPp333nuPSy65hP3795ORkcHJkyfp6uqK062MHz8erVbL9u3bMRgMuN1uqqurmT9/PgaDAbvdTlpaGmPHjkUul/P555+LatHZC6VMJiM7O5v09HTUajWhUEjsZ+Bk1tnVZ2niTTI9hTOmkvD3hUqKLIK/m6oCuN1uDAaD8HxSqVT4/X4mTJiATqcjOTn5gkxPB/u3BEn/JA0HSNqf8+UwftPYF4PBMOgQAcDJkyfZuHEjsViMefPm4Xa7+fTTTwmFQixcuBC5XM7WrVsZPnw4LpeL559/XlQ1r7/+etatW4fP56OxsZGlS5fy4YcfYjabKSsrEyHd/xOEw2Ha2toIh8P09vbi8/lISkriiy++YO/evTzzzDPodDq+/PLLuPcNVdmRJgWH6lJEo1GOHTsmtGodHR1C8K5UKolEIiJhIRqN0tfXR39/P5MnT8ZisQBn7qH/83/+DwcPHuS5554TWaDS9ZeCu6WpT6PRSCAQEARfuheOHDkCIIZSvF4vSUlJhEIhCgsLxfUJh8Pn3BPBYJD6+nrUajVVVVUUFBRQX19PSkoKBoOB3bt3U1hYmCBdCXynkCBdCXwn4fV6qa6uFsJos9mMVqtFr9fT3d1NJBIRf9SHDx9OZWUlX331FdXV1eTl5TFx4kTWr19POByms7MTvV7PtGnTqK+vx+v1AmcWpLq6Onp6ekSlJRaLMXbsWMaOHQtAWloaVquV/Px8YrEYU6dOZevWrQAUFxefowtSq9Wo1eq4CkNfXx/d3d0EAgFOnDgh7AQktLW1UVNTc97rYTabhf5HClWWIC2CUpUjGo2KY5AMTE+ePEltbS0ul0s4tNvtdkpLSxk2bJionsG5VZedO3fy1Vdf0d3djV6vJxKJkJOTw+233y4W+ZaWFjEcYDabsdlscdsJh8O0t7dz4sQJampqcDqdhMNh9Ho9drudYcOGkZ+fT1paWlybWCaTUVZWRllZGTfccIMgB1deeSW1tbUcO3aMq6++muzsbEKhkBCEL1q0iHfffZdTp07R3t5OZWUlMpkMs9lMb28vOTk55OXlnfeafxPs2LGDF198kba2NsxmM6NGjRJt3k2bNtHd3Y3f77+gbZWWlrJhwwb+/Oc/k5uby/z5888xfE1NTcXn8xGNRoUmy2QyCTIkmcrq9Xrcbvc5UTxyuZzx48eTnp4u4phGjRpFYWGhiFOKRqPiIUe6blIWZiAQwGg0UlxcLCZIJbsJSYcmVTn37t3LkSNHuOuuu8T+pepoIBCgsbGRYDBIc3MzDoeDiy66iN27d19QEkQCCXzbkCBdCXwnYbVamTt37jm6E5lMRjgcpquri7S0NJqamoTlg0wmIy8vjwMHDggPIavVSnd3NyaTiWAwiEKhEK22SCRCU1MTeXl5aDQasa+BOhqdToff7+fo0aMUFBSg0WgYNWoU27ZtY+7cuYO2w3bv3s2nn36K0+nE5XKJ/9xuN729vUIvJeHxxx/nmWeeOe/1uPfee3nwwQcv+PoFg0H27t3LX/7yFzZt2kRTUxN+v18spgqFAo1Gg8lkoqysjIULF3Lttddit9vPIV3l5eXo9Xq2bNnC1Vdfjd/vZ926dYLk9fb2cvfdd3P06FEArrrqKp5//nl0Oh2xWIyWlhbeffdd/vrXv1JTU4PP5xOVHKktKgVyX3/99fz4xz+OczGXjmcgEUhKShLB3mfDYrFgNBpRqVSCQGzfvp05c+ZgMBi47bbb2Lp1Kx9++CH33HPPBV/ToaBSqZg+fTqZmZlYrVamTZuGxWLB6/Vyww030NfXx7hx46ioqBBVm6lTp+Lz+Qbd3tSpU0Wk0mDEQ8qzHHh9BqueSsjOzqagoCCulSqXy8WAxI4dO4hGo1RWVgoLjYG6OukeH0iGL9RlPhwO8/nnn9Pa2noO6YK/+701NDSQm5uL3W7HaDQycuRITp06lZhqTOA7hwTpSuA7CYVCEdeS6+npwePxEAqFRN5eV1cXoVCIjIwMGhsbKSgoIDU1ldmzZ+NwOLjxxhs5dOgQl112GYWFhaxZs4bLL78ctVqNRqMhFAqh1Wo5evQoM2fOpKCgQDx9Hzp0iGg0SigUIjk5mU8//ZS5c+fS1NREc3MzCxYsGDQkOxaLsXnzZp566qnzen4NxNkkbDAMZnY6GGKxGN3d3fz5z3/mf//v/01DQ0NcVUxCJBLB7/fj9/tpb29n+/bt/O1vf+OXv/wl06ZNi6usmM1mMjMz6evr4/Dhw8IHTFrYo9EoHR0dtLS0AGfsECTh+8GDB3n88cfZuHHjORU++Hvrye/309nZyZgxY86pHmo0GkpKSnjvvfe4+uqrhX7KYDBgMpnYvn07x48fJxqNMmPGDGw2G3K5nJSUFCH+zs3NZcuWLVitVmFLcT7H/m+K9PR0Fi9eHHdemZmZlJSUCF1cIBDg7bffJjc3l/Ly8iG3pdPpmDt37nn3N1hreyioVCqROLB582ZWrlwp7k2z2cy4cePIyclBo9Hgdrt56aWXmD59OtOmTRNarffff5+enh5uv/121Gq1sMP4/PPPaWhoQK1WU1JSwrx584RH2aZNm9i8eTPvv/8+SqWSn/zkJ8CZSt4PfvADhg0bxrBhwwDEe6TzyMzMJDMzM+FSn8B3DgnSlcB3CtKCLi0KkUiEaDRKOBymoaEBjUYjrAuknycnJ9PS0kJBQQEqlUo4mUsi7C+++IKWlhZGjRrF6NGjz5kIk9qUEtra2mhubhb7y8jIQKlUiinE9PR0ioqKhrQckMTA/0hcyOITi8Xo6uri3//933n99dfPCUvW6/VC99Pf3093dzehUAg4QwjWr19PQ0MDzz77LAsWLIg7v/T0dBYuXEhVVRUmk4nrr79+yPN3uVz4/X6am5tZunQp27Zti7searUahUIh2oEStFotU6dOPWcKVS6Xs3DhQvx+v2gTNzQ0kJOTg1KpJC0tjenTp1NSUsKIESMYPnw4Wq2Wa665hsOHD6PX6yksLKSurg6TycTChQsJBALCUFVqjUnWI9+krSWXy8nIyIgzWe3t7eWjjz6irq6OrKwskpKScLvdvPnmm7z77rs4HA7Ky8u58soraWtr4+OPP6arq4vhw4czf/58lEolmzdv5uTJk5SWljJjxgy2bt3KsWPHGDZsGFOnTmXdunW4XC6mTJlCV1cXp06doq+vjzlz5mAymVi3bh2xWIz58+fj9XrZsGGDSGAYP368CN5es2YNY8eOJSsrC41GQ0dHB++//z4pKSlMnTpVtLO3bNlCa2srt912G3AmVeFnP/sZWq2WUaNG4fP5WLlyJYWFhYJA9fX1YTKZkMlkmEwm0c6VXO0H4puQyAQS+DYjQboS+E5BMrOUjEA7Oztxu91ceeWVVFZWitcNJjIeGMMifT127FiKi4uJxWIiiPjrYLPZSE1NZcyYMXH7G5iHN9R2ZDIZV111Ffn5+YP+vKOjg2eeeYb29nbxvaVLlzJx4kSxH6fTSSAQiBujPzuGZzD09fXx/PPP88orr4iqkkwmo6ioiOuuu45p06Zht9tRq9X09vbS0NDAmjVrWL16NW63m1gsRnV1NQ899BAWi4WLL75YLH4KhYIRI0aIHMTVq1eTlZU1qKWBy+Wirq6O3/72t2zbto1YLEZeXh4zZsygsrKSzMxMVCoVgUCA+vp69uzZw/79+5HJZEyYMGHQBVej0aDRaAgGgxw8eBCVSoXL5RIWHRI5Hhido9PphDavp6eHRYsWCXsQt9tNTU2N0KFJ3l7jx4//RqRLqVRy++23xx2zVqtl+vTpbNmyhe7ubrKysjAYDEyYMIGvvvqK6667TgxNfPHFFzQ1NbFw4UIRUO73+9m2bRuTJ09m+PDhOBwONm3axF133YVWq2X//v0cPHiQwsJC3n//fZKTkzGZTAwfPpzNmzcL+w7JQFZqD06cOJH8/HwmTJgAIKwfpNd+E1RXV9Pc3Mxrr73GRRddJLIypeEKaehh1qxZbNq0iZycHB544AHg77+nEjo6OtDr9bhcLlJTU8W0aW9vL/n5+SIlQaPR0NnZSWpq6rcqADyBBAYiQboS+E7BbrfjcDiwWCzodDqysrKQyWQYDAYhzO3u7sbhcAhilpycTFZW1qA+XZJtQ3p6Okajkd7eXhobG/F6vUJMPlBEDn8PGHa5XDgcDkKhEBaLhZycnEE9pAZCJpMxatSoIUnS6dOnefHFF+NI17Rp07juuutEpeq1115jzJgxVFZW0t7eTlpaGuFwmBMnTgjhc2dnJ1lZWaLFGYvF+Pzzz3nppZcE4VIoFFx++eUsX76cUaNGoVKp4ha7SZMmcdVVV7F+/XqWLVsmDFlrampYvnw5RUVF5OTk8PHHH7Nv3744otnU1MSll1466OLX1dXFc889x/r169Fqtdx444389Kc/paSkBI1GE5elKDn+NzY20tjYSEZGBr29vUNqhmKxGB6Ph/T0dJKSkmhsbKSoqIhgMIjL5SIzMzPu9ZIh69mQsjd7e3tFC00yVv0mkMlk5+j6FAoFVqs17l5Rq9VkZGRgMpkoKCgQju5lZWXs3LmT1atXizxPo9HIwoUL2bBhg7A+SUpKIjc3l1gsJgY50tLSKCkp4cSJE5SUlGC32zl69CgOh4PCwkLy8vIoKCggPT2dzz77jA8++IA777xTTMZK9g9paWkXrNGSUFxcTHJyMk899RRLlixh2rRppKenxz3wSA9A0r+HmtbcuHEjVquVL774gjlz5uDxeNBoNLS3t7Nt2zYKCgoIh8OMGzeOlStXcscddyRIVwLfWiRIVwLfSkgO2dIiN1Aof/jwYWbMmHGOzkPSm3zyySdiClFa4GbOnMkvf/lLioqK4ohFXV0dN9xwAzfccAPXX389Tz31FF9++SUejwfIQ/lAAAAgAElEQVSdTsesWbP405/+REpKCvB3/6I///nPvPXWWzQ0NAhd19SpU1m2bBmjR4/G7XYLkiflBMpkMnw+n/Dd8nq9cY73F7KwSXE9BQUFdHd3s337duAMETQYDFRXVxOLxXC73cyfP18Ya3Z1dbFixQq6u7vFtiZNmsSKFSsoLi4esl2j0+m48sorUalULFmyRHgjbdu2jf/6r//igQceQC6Xc+2114prBLBq1aoht+nxeFi9ejUajYb777+fZcuWYTabOX36NB6PB4vFQltbm0gFkEK6+/r6qK+vF2a0kqt+Tk4OtbW1wtW8sLAQhULB2LFjqaioQKlUnjOJOFQlVIJer0ev12O1Ws/7eQxmLjowXgfOaKYkEjDQC+vsbQz00pK+V1ZWxhNPPMHWrVt58cUXefrpp9HpdIJU19TUsGDBAtxuN3/7299IT08XRGugae5AsjNhwgRaW1uRy+WYzWaampqwWq3U1tbi9XoF6ZIw8IHjQq4DQElJCX/605949dVXefLJJ9Fqtdxyyy0sWbJEtBQvFDabjZMnT5KamsqxY8coKyujoaGB9vZ2HA4HV1xxBR988AEKhUIQ1gQS+LYiQboS+FaiurqadevWUVxcLNzeJYF7dnZ2HAmTEAqF2LdvHwaDgbvvvpvCwkK8Xi+rVq3inXfeIRKJ8Mwzz6BWqzEYDGJ6LhAIsGPHDnbt2kU4HOauu+7CZDJRXV1NdnZ2XEUiGAzyq1/9SoiJ77zzTuEZtHLlSmpqalixYgUejwe3241OpxNP81arlUAgQGZmJkqlkra2NjElqdFoRFtnMAwUNufk5JCRkcHmzZtxu90iP7KkpITa2loKCwvZtm0bjY2NYhpu69at7Nq1S2zPYrHws5/9jJycHAKBAHK5nP7+fmHBEQqFaG9vR6VSkZWVxZw5c7j11ltZsWKFcJh/7733WLRokZgidbvd4jgvv/zyr602zJs3j3vuuQez2Uw4HKauro49e/YwcuRIYbApxcdkZmaKiUOp7SWZiY4fPx6Xy8Xo0aPRarXMnz9f3BvS/XF2u9fhcPDwww/T1taGQqHgscceY+rUqecco0SUn376aYYPH84tt9wSd8+1tLTw8MMP88Mf/pAZM2YIb6rGxkZsNhuRSEQYrioUCtFW3rRpE6dOneLzzz9HJpMxYsQIUlJSUKvVvPjii1RWVnLxxRfz+eefCyd4aUBErVZjt9vR6/UimPxnP/sZtbW1WK1WYeuwZ88eHA4HM2bMEB5b8+fPJyMjg6qqKurr6+nr6yMpKYm2tjYWL14shgsG+nV1dnaKIGvpmg4cvohGo8IjToJCoWDMmDGsWLGCpqYm/vrXv7JixQq0Wi133HHHoFWtgcMXA5GRkcG6deuYOXMmGzduJDMzk66uLi655BL+67/+S1Ql9+zZw2233ZbQeyXwrUaCdCXwrcTEiRMpLi7myy+/5He/+x12u5358+eftyqTmprKSy+9hMFgiKsaXX755Vx//fV89dVXbNy4EaVSyaRJkygoKBCv2bZtGz/84Q957LHHRMVGEugPJA87d+7k5ZdfZv78+fzpT38Sk2c33ngjBQUF/Nu//RsrV67kgQceQKVS0dPTI4xDB1YypKdyn88nXOOHsgiora3lxIkT+Hw+0XaUxvjVajWjR48W7Ry73U4gEGDGjBnk5OSIFt3KlSvjnO7Ly8uZOHEiq1evJhwOi7aeNOkpjeIfPXqUK664gvT0dBYtWsRbb71FR0cHcKbN+NVXX3HzzTfjdDp54403RKSS3W7nF7/4xZBVkqSkJG6//XZheBoOhwkEAhQWFpKdnY1er6e/v5/W1lZMJhM5OTns379fTCqGQiERaZSdnU1KSsrXtnYHIiUlhaVLl3LgwAEee+wxnE7nkK+VKkZDxQ/t3LmThQsXitcWFxeTk5MjIm8AUfUyGAz09/eTl5fHI488AiAqM0ajkSeeeIKGhgZsNhvBYJC+vj50Oh1qtZqLL75YkCQpMFyCNMAhobCwkN7eXnbs2IFarSYpKYndu3dTUVFBW1sbBoNBRF3V19fT3d2Nz+fjk08+wWg0cs011wCIQQTp90mn02E2m4X5qkajoba2lkOHDjF8+HCxf8nhX6PRkJOTwy233MLatWs5deqUuP8HXtuuri6R9Tiw7Qh/b5OOGDGCxsZGJk2aRGNjI/v27WPMmDGoVCqKiorwer3ntI8TSODbhgTpSuBbierqatauXYtMJuN73/se6enprF27luTkZDo6OuJ8iCTI5XJsNhvRaJT+/n4x2WgymcjOzmbv3r0Eg0Hh9zMQGRkZ3HnnnXEtMsmvS0IsFuNvf/sbvb29wul8oFWDFM2zd+9eMeXW2NhIKBQS2qTMzEycTicpKSm0trbS1NSE3W6ntbX1HGd6CeFwWFQY9Hq90K+ZzWZSUlLEhJxcLqelpUXkPDqdTi666CJ6e3s5cOCA2J5CoWDSpEnYbDb6+vrw+/1YrVYhRNdqtYwePZqqqioCgYDY//DhwxkxYoQgXdKivmjRIlJTU7nvvvuAM23et95667xBzKWlpVRUVMSJ2q+44gogvnopCd3hTGVs4M/Pbu0N/Jx2795NeXn5kM73Wq1WpA0MlckpwWAw8Oijj573NQOPY+A9NBh0Ol2cjszj8dDd3Y1cLken04mhif7+frKyskhLS0Or1YqW+4VCrVZTWloqBhIk7eHWrVuZM2cOra2t9PT0oFAoKCwsFJmgeXl5cXmJ4XBYEM6kpCTmz5/PH//4R8LhMOnp6Rw8eFDEFUn49NNPeffddyktLcVoNHLy5Ena2tqYPXt2XNVRqVRyySWX8Oyzz7Js2TIyMjLIzc1l0aJFYp9paWnccccdAPzwhz8EEKJ7KVfz+PHjzJkzJ6HlSuBbjwTpSuBbCaVSSXl5OVarFaVSic1m44orrkCv1+P1ege1XJDMTLds2cLevXtpamrC5/PR19cnshSVSiV6vf6cxTg3N5e0tDQ6OjqEa7dkFqrX60lPTycSiXDixAnC4TCPP/44zz77bNw2AoEALpcLs9lMMBjEarVSUlISd3x6vZ7MzEy0Wi2ZmZmMHDkSrVZLMBjEaDTS2tp6znlJZAfONboMBAKiciB5iEUiEZKSkpDL5SgUClpbW4VHFpxZjMeOHSuIjjRVJpnESqakw4YNo7CwUCyS0rTfli1bxLZOnDiBx+NBoVDw0Ucf4ff76e/vF23VoVBaWkpKSgqxWEzYgEhRMH19fWi1WrGA+v1+QqEQGo1GfG6Sm75k7SCRp1AoREtLC7/73e9Yvnw5KSkpwol9YJj2hbSgwuEwmzZtwuFwADB69GgqKirO+x7J7HX79u2MHj2a0tJS0Y5rbGzk8OHDBAIB8vLyGDNmDGq1mi+//JLW1lZBuCQCo9FoBAGLRqN4vd5Bvd+kn0lVNaVSKfSMUgXQ7/dTWlpKcnIyc+bMwWg0otFoyMrKwmq1olAoaGtrw2aziRBuadvd3d3inlMoFPyv//W/yMzMZMeOHXi9Xn784x8jk8moqqoSpLCyspLW1lZqampwuVwUFBTwox/9iIkTJ8Zde4VCwU033YRer2fnzp04HA6KioqGvHdCoRBOp1MMzUjXZMGCBQmj1AS+E0iQrgS+lWhra+OLL74QGYazZ8+mvLwcr9c7qBVBNBpl165dPPTQQ5w8eZKysjKGDx8uxse7u7vFH2vJ7XzgH3+pvVZbW4tSqaS3t5e+vj4cDgc5OTmkpqYSDofp6+tDqVRSUFAg4lUGory8nPT0dDQaDXK5HIvFIkKc5XK5qBpIIdfS9wYK6odCKBTC4/EIPRoQVxmTxONnV5ja29vjnNnVajX5+flCSF1bW4vBYBDmpjKZDKPRiFqtZty4caK1JFVEBqK5uZne3l7sdjujRo2iqqqK9PR0Lr744iGrMlIbU7JeePPNN2loaKC5uZkJEyZw+PBhxo8fz1133cX+/ft566238Pl82Gw2lixZwvDhw2lvb+fVV1+lvr6eSCTC7NmzWbx4MUePHuXVV19l+/btPP3005jNZu69917y8/NxuVw0NjYycuTIC2pFSlWUXbt2sWHDBn7wgx+cl3TFYjGam5t56KGH6O3t5bnnngPOkO0NGzbw61//WrTc2tvbWbBgAffddx85OTkYjUYyMzPPEfwPtOSQWtlno7Ozk7vuuov6+noAZsyYweLFi3E6ncRiMSwWi7jXamtrSUpKorm5mY6ODvLz84V+Ky8vT5AxlUolMkx7e3vjLCPMZjO33HILN998c9wxXn755eI1BQUF3H///V97jaXt3XbbbcLj63zwer1x1WOAyZMnJypcCXxnkCBdCfzLIE2rSW0Vv99PamoqycnJdHZ2MnPmTJGJJ/1RVSgUyGQyHA4HdrtdVGH8fj8vvPCCcDj/wQ9+QEpKisiY27NnjyBd0WiU3t7ec6oGSqWS0aNHi7akRJY0Go3QZEnmocuWLRtUeA1nFqGOjg5qa2uJRCJ0dHTQ39/P6NGj2bNnD+Xl5VRVVZGdnY1cLqetrY2JEyd+bQj06tWrqa+v57LLLqOsrGzI151N3jo6OuKImBQ+DGdaqOnp6YTDYfr7+7Hb7XGByGfn8Vmt1rhqm9/vp6enh6SkJPbs2YNSqaS7u5v169fz/e9/f1DiJU2lStupq6vDaDRSVlbG5s2bufPOO3n11Ve54ooreO6557jqqquYMmUKn3zyCX/4wx94+umn2bdvH8eOHePBBx9Er9eLkO3hw4dz0003UVVVxYMPPkhKSoogxz09PdTW1sZVH88HtVrNT37yE2644Qauu+66815vuVyOw+Hgl7/8JYFAgOeff55hw4Yhk8loaWnh17/+NePGjeO+++5Dp9Oxfv16Hn30US666CImTpxIWloaCoUCj8cTF2w+GKQkBOneDIfDVFdXc/LkSeCMXYPkISdVjCRyL1Uxpfb8QAuM9vZ2jh07hsViweFwsGrVKkaPHi2mDQcTuh88eJDy8vILFq8PTB2Qjk2q0Ek+d1Iu42BedxaLRXjBSe/5Ji3XBBL4VyNBuhL4lyEYDNLf3y9Ckfv7+8UTrMFg4L333mPXrl0olUrmzJnDuHHjCAaDYpptYAvC5/Nx/Phx0tLSuPrqq+MWLqfTSXNzM4CwJBisPSn5fQ0FhULBxIkTWbNmDdu3b2fmzJlD/sGXy+Vs27aN/Px8jh49isViQa/XU11dTVpaGm1tbUyZMoW6ujoaGhooKys7L+navXs3f/nLX5gyZQoWi4Xq6moOHTqEzWajsrKSY8eOiWDumTNnxp3H2UHKkuO7dM7SAjyYVurs6yNZHkhO8ZFIhL6+PlwuFyqViltuuQW/388rr7wiwo0H287A7yuVSoqLizEYDDidTkpKSlAqldTW1uLxeLjssstIS0tj3rx5rF27FqfTyfDhw9Hr9bz99tvMnDmT6dOnC9uMlJQUNBqNCCOXoFKpROXxQiEd69fF6HR3d/OLX/wCr9fLihUrKCgoEO85cOAA9fX13HvvvUQiEXw+H0VFRZhMJuEz5XA4hG4vOzsbv99PNBpFqVSiVCoZNmyYqAz6fD5BcKX249nHLInvATGhazQaz0tQmpqaeP7554U32ciRI7nzzjuJRqPnGMJKtiG/+93vuO6665g9ezY9PT3s378fu93OhAkTOHXqFCdOnKCgoIBx48ahVCo5dOiQaAvrdDox+ajX61EqlWi1WsLhMMXFxcISRmo9A7S2thIKhQgGgyiVSux2O/X19WRnZ4vzlYxYFQqFCG//Ot1eAgn8s5AgXQn8yzB8+PAhg3grKirEpBcgSJRSqcRoNBKJROIWQrVajcVioaOjg/r6egoLC5HJZHR2dvLqq69SU1MjWmYqlWpQbYyEvr4+WlpaxOKQmpqK3+9HLpdzzTXX8MYbb/Daa69RUlLCzJkzxeLR29vL6dOnSUtLw263I5fLyc3NFeHRCoWCoqIioaGRpg9TU1PFvoZCYWEhWVlZTJgwgZSUFPx+P1qtlrVr15KZmcmGDRvIy8ujvLz8nArB11Uh/hERK9Ln89JLLxGJRBgxYsQFufvD36sVUtzOhey/sLCQX/3qV3z11VesWrWKAwcO8PDDD4s28VD4JoTrm+CVV17hxIkTLFu2jNzc3LhjaG9vp62tjSeeeEIQ60gkgtvtJhQKkZWVRW1tLbFYjBEjRhAKhUTlTi6XE4lEzqk4SvflhVzjYDDIhg0bKC0tJTs7W9yrEjGPRCLI5XKGDRvGr3/9a3GvDtSDyeVyQqEQXq+XWCxGSkoKWVlZpKSkMGHCBBQKBR9++CGVlZUcOnQIn8/H4cOHmTp1Kps3byY5OZlhw4aRk5Mj3OR1Op2IAJJilgBMJlMcyautreW1115Dp9NRVlaG0WjEarViMBiIRCK0trbGtWUjkQinT5+mv7+fWCxGbm7uOd5jCSTwr0KCdCXwL8VQC2RVVRWrV68W2XeLFi0SC4ZKpaKrq4uMjAzRdjSZTFx33XU88cQTLFu2jOnTp6NQKDhx4gShUIjJkydz/PhxtFrt17YjgsEg7e3tmEwm5HI5fX19ospTWFjI008/zS9/+Ut++tOfMmLECDHe39LSQldXF8uXL+fSSy9l1KhR1NTUoFarRfyJZGCamZlJdXU1Ho+HQCDAgQMHsNvtQ+p2pLarlCe4bds2YTMhje5XVFTEje1LOLt619/fLyoHnZ2d1NfXo1arhW+ZSqXC4XAwZsyYOK2ZJHof6NGkUCjQarUYDAamTJnCrl27UCgU2Gy2/7FfUnZ2NklJSWzatInJkyezfv168vLysFqttLS04PP5mDRpEsFgUFhiaDQadDod4XCYU6dO0d/fT2pqqrAiMBgMF2T2+U0QDAYZPnw4c+fO5e2336aiooLLLrtM7Eej0ZCamsrDDz98jmYrLS2NaDRKT08PhYWFmM3mcyZrz76O0WgUs9ksskS/DpK43+12k5qaSiAQEIMIGo0Gh8OBzWajp6eHUCjEyJEjRSVKLpdz4sQJotEolZWVHDx4kLKyMiwWC1arFYvFIvRyfr+fSZMm4fF4OHr0KCqVisrKSjG5OGzYMGHpMJBEdnV1sWPHDhE3JHnRSa/buHEjv/3tb7HZbHzwwQeUlpaKlmcoFGL8+PFxv9NSCoVkBJzQeyXwbUKCdCXwrURbWxuTJ0/G7XaTkZEhPKykdtbAqTo4UwH7wQ9+gFar5eOPP2bdunXI5XLmzZvHrbfeSl1dHS+//DJqtTrufRqNhuLiYnJzc8UiaTAYGD9+/JAtiWuuuYbc3Fz++te/smfPHk6dOoVKpSI/P5/FixczdepU0tPTsVgsNDQ0CM2P1WolKSmJSCQipih9Pp9oo5jNZlHZOx8kQjFjxgzxvfPFqEjxK1JLta+vT1hddHR00N7eTjAYFAQzMzNTZFEORDQaxeVyxS2YUkh2R0cHn3zyCbm5uSiVSnw+3wVXldLS0jCbzWg0Gmw2mzBktVqt3H///bz55pt8/vnnqNVqfvzjH2MymTh06BBvvPGG8DhbsmSJOF673c6CBQv4wx/+QGpqKvfee68gO5LB6D8a8+bNY968efT09PD4449jt9sZO3YsMplM2Cb09fUxfvx4sf9QKIRMJqOurg6n04nH48FqtYr7YShI1cCz28bnQ3JyMiNGjODYsWPCNqWlpYW6ujph4CpVjNLT0zlw4AAtLS2Ul5fjcrlExFBaWpo4B6navH//fgoKCrBYLGzevJm6ujoqKio4cOAAmzdvxul0MmvWrLjjGUgkpcQAqao3cEo1GAyye/du8XthMpni7CkGuv0PhPRwlpqaOuSDTAIJ/CuQIF0JfGsQiURYu3YtGo2GUaNGEYvF2LlzJ19++SXXXnuteF1rayvFxcVx75XJZCQlJXH33Xdz4403snbtWnbu3Mm///u/Y7FYKCsrY/bs2dTX19PR0UF3dzcpKSkUFhaKCBFJVKxQKM5bDVMqlUyYMIHy8nJ6e3uFj5VUZZHeq9VqhWhbWmTOXgDOFk1LE2iDYcGCBSQnJ6PT6Vi0aBGtra0sXryY7Oxs5syZM6QAW6qgSQagoVCI+vp6pkyZEucbJoni09PTUSqVot0pVYcikQh1dXVx287MzBTB42azmTlz5ojg8AutKN1xxx2Ew2Gqqqq49NJLicViLFq0iKamJpKSknjyySc5ePAgzc3NQs82cuRI7rjjDiwWi1ioOzs7hYfbpZdeyvTp04lGo1RVVWGz2cjOzhYVFIfDIYTj/f39nDhxgpycHFG5kTzYpLiZnp4empub2bNnDyaTiby8vDhSKunJHnroIZqamnj00Uf54x//SG5uLmVlZSxcuJAXXniB2tpaCgoK8Hg81NXVceutt1JUVMSwYcNEK+zrEAwGxTThhRBblUrFhAkTSEpKwmw2EwqF6Ojo4LLLLqOpqQmTyYRer6e8vJyenh6RISqZ1UoEKz8/H5vNFlfBmzdvHqdOnRLX/MiRI4wZM4axY8eSkZHB6dOnmTdv3qDnFYvF6OnpEb+fAyH9vnR2dnLo0KFv1BaWNF1Su/ofXdlMIIH/CRKkK4FvDaLRKPv378dgMDB79mzgzOi55GEFZxYQg8EwaOtK+iMrLS4KhYKWlhbxBJ+SkoLZbKarq4vGxkacTif5+flYrVbh+dPU1EQkEiEzM1PE9jQ3NxMIBLDZbNjtdtFKzM3NFTmBWq0Wk8mEz+ejqamJcDiMzWYjLS0tbgFXq9UUFBTg9XppaGjAaDQybNiwr10YZDJZnF1BeXk55eXl4uvzZQRmZmaSnZ0tSFcwGOTgwYPccMMNOBwOnE4nPp9PtF6PHDmCwWAgFotRX1/PpEmTMBqNBAIBDh8+HLft0tJSjh49yo4dO2hpaaGpqQm9Xk92djZLliz52qqS1PLr6ekRUTJSdqEUUK3T6XC73YTDYQ4dOoRSqeT48eOcOnWK0aNHi6k6qcLW1NQEID5HKftSusbhcJhVq1bx17/+lVAoREZGBu+//z7r16+nqKiI3/zmN5jNZg4fPsyvfvUrQqEQarWao0ePct9995GXl8cTTzwhxO1lZWUkJycjk8mw2WwsX76cRx99lE8++YS7774bvV7P/fffT1FREWvXrmXr1q0YDAYxGLJz506hd/q6CVY4Q/CCwWBcm3ew6ypB0hLC3+8T6WFgMK1TX18fNptNtKXHjRs35H5isRhms5mamhpqamqEzurYsWOMGzdu0GD3trY2tm7dKqY1lyxZMuT2T506dd4HkcEgl8sxGo1CM5dAAt8mJEhXAv9UxGIxGhoaSE5ORqvVUlNTQ2FhIdFoFIfDQSwWIxQKUVNTQyAQIDc3Vyxo/f39NDU1YbPZRDUpGAyKp/WWlhb0er2I9zlw4ACvv/46brdb+AZ5vV6effZZlEolPT09jB07lrvvvpv29naee+45Mak1depUrrzySnbs2MHatWuBMxW25cuXo1AoeOKJJ1ixYgUmk4k333yToqIi5s+fzwsvvCAm+UpKSrjlllvweDz85je/Ac7YFowaNYprr72WqqoqioqKLugp/i9/+Qtz5869oFZJd3c3W7ZsYe7cuWi1WpKTk5k8eTIHDx4EzpCRXbt24XQ6RaZhJBIRAwGSEWlSUhI6nU4YUVZXV1NVVSX2o9PpmDBhAnPmzGHy5Mn09vai1+upq6sjPT39gkf5I5EIRqOROXPmnGP+KhFWycvMbDbjcrnIy8sjEomQl5eH3++ntraWvLw8bDYbgUCAjo4O0aZsbGxkz549aLVa5HI5PT09lJaW8uCDDwpi0d7eTnFxMb29vXi9XhHd9MADD6BUKjGZTHR2dqJUKjEYDHi9Xnbv3k1fX59wRz948CAajYZAIMA999wjKmEymYzk5GRuueUWFi1aJITrUkzUG2+8wd69e8nLy+Oyyy4TOYdDIRaLiWsx2MPHQPNXKaC9ra0Nj8cj2sbp6ekizeBsuFwuDhw4QGlpqcg8HQqjR48WJFmycFEoFOh0ujg7ioGwWCzMmTMHjUZDW1vbkNuORCLs2LEjLvXhQiE9QPh8PmFzkkAC3wYkSFcC/3S8/vrrXHTRReTn53PTTTfxxz/+kWg0yqpVqzCZTHz22WecPn0at9uN0WjkP/7jPzAYDPznf/4nR44cQavVEggEePrpp1Gr1dxzzz3YbDa0Wi2nT59m8eLFYoJw2bJl9Pf389BDD1FbW8u+ffvo6enhpptuoqWlhXfeeYcrr7ySTZs2oVKpePzxx4XoWiaTUVlZSXp6Ot3d3Tz//PPU1NRQUlIiXNTh78L0/v5+Tp06xfz584Xrt1qtZt26dXR2dnLTTTeJacoJEyaQlZXFyJEjL6j9cfjwYdLT08nIyKCoqIiuri4aGhpIS0sjNzeXQCBATU0NCoUCi8VCVVUVM2fOpLW1laysLBYuXMibb74p2lKHDh1i8+bNXH/99cIc82zIZDIhfA6FQnz44YciAgggPz+f6dOnCzH2nj17sFqtbNy4EZvNxo9//OOvFTFHIhE+/PBDxo8fz7BhwwZ9TVJSEtdcc434TCQrhTFjxghvp7KyMuGor9VqhX5NqVRy6aWXsnXrVuH9JAmsTSYTqampQmvndDqRyWT09vbS399PV1cXkUgEi8UiEgs8Hg8ul4vk5GRisZjwmZPMRIPBIF6vF51OJ4LDpWsgl8uFZ5rX66W4uJjU1FSWLFlCOBwmJSXlgvRmMpmMtrY2srOzB20pS6HgnZ2drFy5UgSxS4HkRqORnJwcLrnkEpYsWXJOnmlycjKpqan4fD5xHXfv3s2KFSuEjuxHP/oR8+bNE1Vi6bgG/hvO3DcvvfQSGzZsAMBms/Hwww8La5j29naKioqIRCK4XC7a2tqor6/nyJEjHD16lO3bt4tqVWdnp9D0DYXRo0fz4IMPivcMdW8nkMC/CgnSlcA/FVIgcG1tLb29vfmIvdoAACAASURBVIwaNYqDBw+SnJxMZmYmHo+HvLw8fv3rX+PxeFi6dKmoruzZs4cXXniB1NRUHnnkEf7yl79w880309nZyY9+9CMuv/xyPvroIz777DPmzp1LRkYGJpMJk8mEwWCgq6uLU6dO4fF42LlzJ3BGJyWRhoKCgrjWZX9/Py+//DL19fWUlZXh9/vF1N9ASAtNUlISP/3pT3n77bdZs2YN3//+97nkkkuoq6ujp6eH3bt3A3DFFVdgNptxOp1CD/Z1cLlcVFVVsWXLFq644gqUSiUNDQ2sWbOGW265hY0bNwJnXMUNBgPRaJT169fj8Xi48cYbqaysZPbs2XzyySfAmYrb7373O8aNGydMPIdCLBZjy5YtvPnmm+JclUol11xzjagqShNyx48f5+abb2b16tWDeqENhNfr5cCBA7z77rt4PB6am5spLS2lu7sbu92OWq3m+PHjjBgxgnA4TEdHB4WFhbhcLurr69HpdJSUlKDT6fD5fFRXV1NWVobBYIirshkMBiZNmhSXICC1JKXztlqtRKNR8XUgEMBut8dVqwZ+1hLBKC8vjzMNPdtA9OxMSKfTSXt7u6gEDiR5F2prIIWln+2dJUGj0VBVVcXDDz/M+vXrzxnOkCpf+/btY9WqVTz77LPMnz9fXLNAIMCxY8coKioS1iTt7e189tlnouo0b948/H6/aHFKPluDTVoeOnRI3Hf5+fncdtttQgMnkaO2tjbuuOMO9u7di8fjEQbFAxEIBNi8efN5r43X66W/v19M2V7IYEoCCfwzkSBdCfzTMWLECN566y3a29u55JJLOHTokGiB7dmzh7KyMkwmE9FoFIvFInRVJ0+e5Oc//7nIExw/fjxwZsEsLS1FpVKJwOtIJILD4RA5coFAQAjng8Eg9913H0qlknA4jFqtxmazcfz4cfx+v2inuN1udu/ezUMPPURxcTGff/55nAu4z+dDLpfT0NAgrBpGjRrFM888w5dffsnrr7/OxIkTKSgooLu7m3vuuUe8V/I7utAWXFJSEgsWLODkyZMcPnwYu91Oc3Mz9fX1tLS00NHRwY9+9CNSUlJob28XpqvLly9Ho9Gg0Wh48MEH2bt3r8gS3LlzJ/fddx9PPfUUI0eOPGfRlGwFNm3axH333Ud7e7v4WXl5OUuWLBGZj1KOpE6nw263U1paSjAYFILmweByudixYwe1tbUcOHCAtrY2UlJSeOedd7j44otJTU3l1ltv5ZVXXqG3t5ctW7Zw7bXX8vzzz5OamorH4yE/P59ly5Yhl8tpbW2lsLBQBE5Lru0qlYqUlJRBCUEwGBSJBwM/C71eTyQSEaRALpefI8qWiJc0hShVmAZev0gkIqZVJcd8qYIovTYWi7F161YaGxu56KKLvraF3N/fLyJ6zoZMJsPlcnHPPfewadMmMTUrEUi/309zc7PILz1x4gQ//OEPee2115g7d25chaqpqUk42w+G/fv3s3//fkwmE7NnzyY/P/+8xy1B0jpWV1eTnZ0t7rOWlpa43z/p+9KDjpSxeb7K8MDhhoRVRALfRiRIVwL/dNjtdnw+Hz6fj5tuuolt27bR3d3N4sWL2bNnzzkO4FJ+3PDhw3nooYcwGo3EYjFMJpNwPT/7D7FCoaCvr4/f/va3uN1uRo4cSVFRkRiHf/TRR1Gr1eTk5HD33Xdz6aWXsm/fPn7+859jMBiYOHEil112GaWlpbz++utYLBb6+/vFGHppaSlPP/00ycnJ9PT0oFQqcbvdrFixQrSdxo4di1arZe7cuezfv5/HH38crVaLzWZj+vTp9PT0fK09gITe3l6amppobm5Gr9ezefNmbrzxRhwOh3CYb2pqEposu91OVlYWmzdv5tprr0WpVDJp0iR+/vOf8+ijj4qA5DVr1lBdXc3ixYuZMWOGqDD5/X4aGxv59NNP+eijj3C5XOJYsrKyeOSRR8jKymLDhg1CN2Y2m4X2Kzk5mdOnTxMKhYSI+2xIVY/9+/dz5513ikGBgwcPUlNTQ2dnJxMmTODQoUNotVrsdjsffPABU6ZM4Sc/+QmdnZ3cf//97N69m8rKyjjSEwqFeOSRRzh48CDPPvvsoJmJe/fuFVE8jz32mPApCwaD7Nq1i1WrVnHs2DFh9nr11VczdepUtFqtuD/b2tp44IEHkMvl/P73v48jTOFwmJdeeomPP/6YRx55hFmzZuFyudi7dy+ZmZnMmjULo9GIzWYTwecX0l7UarUi4upsxGIx1q9fTzAYJD09ndtuu43rrruOrKwsNBoNfX19HDt2jN///vesXbuWUCiEw+Hg0UcfZcSIEeTl5YmpW8nZfihUVFSIFqwUEi9VC6Ws0aFQU1PDrl27SE5OZtSoUWRkZPDiiy9y4sQJ0coNh8P85je/YdWqVcAZ0f9//ud/CnLX2toqpoYlcix5xkkVx4RdRALfNiRIVwL/dFitVvr7+5HJZBQVFaHRaHA6necIiAcSr8rKSlatWsXWrVspLS3F5XJRUVERF/g8EJWVlVx88cX4/X4CgQAFBQXodDr0ej1PP/009fX1xGIxMjIyUCgUZGVlcf/994vJt+TkZLxeL4sXL6aurg6LxcL1118vnsJ/8YtfUF9fj0ajEdoti8XCnXfeidvtRqvVimk0jUbDk08+KcKZMzIyhIblQp/GJ02axLFjx4hGo6LCt3XrVgoLC8UCvnbtWux2O5WVlUIjtWXLFtxuN8nJySiVSm6//XY8Hg/PP/883d3dxGIxTp06xVNPPcULL7yAxWIR7uBut/uc9kx2djZPPvkkCxYsEKHdUuXOaDSK//f19ZGamnpB03hnY8SIEbzzzjtoNBpmz57N4cOH0el0TJs2jV27dnHJJZegUCiwWq2kpKTQ1NTEtGnTsNvtcZOMpaWl/P73v+f9999n7P/H3nkGSFme6/83fXf6zpaZ2QLb2b7UBQTpICBgRGLBnniSGIwxejRqNM1Ek5xoYsw5xxhjTjSWgCggqEgxgPS6wLLAwrK9z2yZ3enl/4H/+5ydLWhOEs2Hub7EDDNvm3fnud77vu7rKi+PIinBYJBNmzaxd+9ebrjhBvG9BgIBXnrpJZ5++mkUCgXjxo1DLpezZcsW3n77bb797W9z3333CZG4z+ejsrIyKhpJgjQ0cujQIUFabTYbEydOJD4+Xlwbp9PJvn37RDTQaNo2CVIldzRSI7nVP/3009x6663DhPBpaWmUlZVx//33s379etEC/POf/8xjjz1Gd3e3aOVeCSqVioSEBGFo6vV6OXLkCGazGa/Xy+TJk0f9rBRGL/nvSUQvEAgwbtw40tPTCQaDUZo1tVpNaWkphYWFhMNhPvjgA1Fh1Gq19PT0CB2dpGnr7u4mOzs7pu2K4V8GMdIVw+cKaZoqPT2d4uJi5HI5ixYtoqWlBYPBQFlZmZiWk8vlTJkyBZlMRnJyMk8++SQvv/wyDQ0NWCwWpk2bhlarZd68eUJcazQayc3NFVUprVZLXFwcPT09OJ1OfD4fer2e9PT0KI1PIBCgqamJQCAgshnr6uro7OzEYDDg8XjweDzIZDIsFgtWq5WSkhIikQgDAwP09fUxMDBASkqKcPfu6uoiHA5TU1NDQUGBqGpZLBba2trEv38W3HrrrcBlsrB582aMRiOzZ88WxprBYJAJEyZQWFjI3r17mTNnDu3t7VRUVODz+di+fTvjx4/HZrPxne98B6vVyq9+9StqamoEWRgYGBBC+6FQq9VMnDiRxx57jCVLlghTSmlqcWhVZDBhloTrI0F632D7A7vdTk9Pj3A037Nnj5hYTEhIEGJ0j8eD2+3GbDaLqVOpUiSXy5k/fz7Z2dl8+OGH3HvvvVFu8G1tbezYsYOMjIyoDM29e/fy1FNPkZWVxXPPPUdxcTEymYyamhq+//3v89xzz5Gdnc2qVav+Zv8nr9fL2bNnkcvlNDU1CQ8sqT158eLFK7bzJAQCAXp7e0fUF0rnvnz5cm666aZRJw9tNhuPPvoo+/fvp6mpSdhofPWrX8VoNBIfH4/T6bziZK3H46GhoSFK1yf51n1aq7GhoQG9Xh8l4vf5fDgcDkwm02eyUJk5cybhcFjEaQWDQTEoIA0qqNXqz/w3FkMMnwdipCuGzxXhcJijR48yYcIEpk+fzr59+5g1axYXL17kyJEjZGRkCCPKxsZGZs2axcmTJ9m7dy/jx49n0aJFXH311Rw5cgS3200kEqGoqEhs3263iwBojUYjooIknyfJw0dqiUm6m0gkQnl5OXD5B136sfb7/ajVaiHslcb1JS0PXBb4S6RRinUxmUz09fWhUCg4d+4cVquVLVu2oFQquf3224WWbDAk/Y/ZbMZisYjFQvJlGjwF5/F4OHPmDA0NDSgUCgoLC6MieSST1v7+fk6cOMHFixdJT0/HZrOh0+m4++67qaio4PXXX2fr1q00NDTgdruFDkqhUAhPtIKCArGID3bul3ClkHDpeiYmJgqhuLRd6bPJycm89957tLS0MHHiRFJSUnC73ZhMJhF143K5SE9PZ/Hixaxbtw65XC60aVOmTCEUChEMBnE4HCQnJ4vq5YoVK3jhhRf4+OOPufPOO0Xr69ChQ5w9e5Zbb71VGHeGQiFeffVVXC4X//7v/85VV10lCMGkSZN46KGHWL16NW+88QaLFi36m1tXkl2DVOGSiF5qairFxcWEw2HS0tI+dTtxcXHo9fpRPai0Wi0rVqwYtQosobS0lFmzZvHGG28AcP78eaqqqigrKxOk1uPxjLodjUZDQkIC7e3tFBQUoNFomDRpkkiNuNJwRlxcHIcPHyY7O5spU6aI6yHlkn4aZDLZFatXkq4PLgd5d3d3k56eHrOOiOELR4x0xfC5Qi6Xk5SUhM1mo6enR+hjamtrcTgcZGdnI5fLOXfuHKFQiIyMDIxGI263G7fbTUdHh4ix6enpEYL53NxcUlJSSEpKYtq0aaJSJgnfpUpKOBwWr8PlhVAK6J0xY8YwTc1ohKKvr4+PP/5YEDWv14ter6eurg6DwSDyC/Pz89Hr9eIJPC0tDblcTnNzs9BPSZDG5R955JGo9qPX6+Xo0aNMmzYNuVxOeno6DoeDtLQ0fD4fycnJpKenc+nSJbRaLcnJyQwMDOD3+4Wdgk6nIz09HYCuri4cDgfx8fHcc889XHPNNZw7d47a2lo6Ojqw2+1otVrsdjuFhYXk5eUJIjMa3G63CEqGyyHFcXFxwgfs97//PV6vF7i8YCYlJYnru2bNGj788EPOnz9PUVERarWaVatWieDjL33pS/T29mI0Glm4cCFarZYjR46g0+l47LHHSE1Npb+/n56eHgYGBsjJyUGhUIgJyz/96U9s2LCB66+/XgxmfPjhhygUCpYuXSpIUE9PD6dOnSIlJYUJEyYMm0IsKipizJgxnD59ms7Ozk8lXUOrRJI/VnV1ddTQQltbG+3t7UQiEVpbWz+1SiRlNQ7NaJSQnJwc9SAyGlQqFfPmzeOtt94iHA7j8Xg4duwYkyZNElmhV2p/S1XfCxcu0Nvbi8Ph4MyZM8BlQnal89DpdBiNRiwWS9TE56fZZng8Hjo7O1GpVMLOo6enR1huKBQKenp68Hq94gGkrq4Ok8kksludTieBQIDExMQrepDFEMM/AzHSFcPnCplMRlpaGgqFgkgkIrL2rFarMLeUhPTNzc14vV4KCgoEWZLiatLT0xkYGBDO8YOrKH/L1FIgEKCyshK1Wv2Zo0YikQjt7e1UVlYybtw4Kioq0Gg0WCwWEhIS0Gg0yGQysrKyMJvNzJw5E51Ox9KlS4HLdguSbmfw2L9CoSApKQmr1SrIlslkwuFwCCdxuVwe5RAuOYvD/7qLT5s2DUBUTSKRSFRrrb+/n/b2dlpaWjCbzbjdbiZPnsyKFStwOByUlpZGVbMkAuj3+0lKSkKj0dDX1yciXMLhMGvXrqWiooLc3FxUKhWXLl0SkTuhUAiVSoXRaMRoNNLX1ydaSVImYGFhYdQ1vvHGG8V/L1myRPy3pPOSEgsk6PV6Zs2aJUg2XL7XiouLmTVrFrt27aKyspJZs2ZRX1/P7t27KS0tZdKkSWLBHxgYoL+/H71eP6Kxp1qtJiEhgZaWFnp7e4f9+0gYfE8FAgHOnj1LZ2enqNCq1WqhQ5LMQBMSEq5YxZGqraPd5zabDaPRSFVVlbBokaqX0vFIf2NShcrj8RAMBjl//jxyuRyr1Up7e/untvmkhwmtVktiYiLJycnCp+xKf08dHR1UVlYSCASitGN+v/+K7cCdO3eKiqxOp+OGG24QE7kFBQVkZ2ezbds2mpubycvLY+nSpezZs4cpU6ZQVlZGZWUlW7duJTExkSVLlnymymIMMfwjESNdMXzusNlsBINBgsGgWCDnzJkDRGuBpLbP4Ncks87BT/nS4v63IhKJ0NPTI/L6/pbPNTQ0iPaOTqdj8uTJo1YGJMI0WFQuVXoGw2q1YrVah5lMShUD6TqM1iJxOp2cOXOGadOmRVULhr4/LS0Nm80mBMdSdqFE+oa+3+v1smvXLlpbW7Hb7aIlpdPpKCsrIz4+nj179hAMBkUg8SeffMLChQvJy8vjvffeo6mpiUgkwty5c3n99dcZM2YM/f393HHHHeI7vRIk4qfRaGhvbxfVuNbWVpKTk4V4XqVS4fF4BPnWarWsWrWKDz/8kE2bNjF16lR2795Na2sr99xzT1R8kvR5yex2KKTJRskM9dMQiUREdU+CyWTC6XRiNBrFNlJTU5k6daowff20bWu1WiZMmCBMfIdCImwHDx4kPz9fkJKUlBQGBgZITEykrKwMtVqN2WwWmkXJR8zhcHDy5Enx+mjO8oCwTZEmR48ePcrFixcpLS0d8R6XYLVaRUajdA5arVYQ8tFami6Xi7KyMk6dOoXVaqWzs1OY4R47doz4+HjUajUFBQVkZGRgt9spKSkRAyE7duxg3rx5wwYrYojh80KMdMXwheDChQu4XC4mTZokol4OHz5MSkoKhYWFtLS0UF9fj9vtRq/Xk5WVFRUtM9RSwuPx0NjYSGtrK16vV7TTUlNThy1Ofr+f+vp6Ojs7qa+vx+Vy0dbWxocffhj1ZC89OUuf7erqorm5WYTwhkIhDh8+zMWLF8Vn4uPjmTp16rC2pCQyrquro729nUAgIIKTpfiUoe0syScsJyeH7OxsYe7a3d0t/Jdyc3PR6XS0tbXR0NDAgQMHGD9+PE6nE7lcjt1ux+l0isU/NTVVtGR1Oh1JSUlCM1ZfX49GoyE1NTXqWMLhsKiSHDlyhKSkJPR6vTC5DAaDItRZGhYoKCgQJpWHDx/m4YcfZt++fRw4cACZTMbKlSvZvHkzjY2NI5Ku1tZW+vv7GTNmDBqNBrfbzbZt2ygqKuLs2bPiOldVVVFeXk5lZSXhcJjMzEwqKyspKysTbv8zZsygqKiI7du3c9ttt/HRRx+RmJjI/Pnzo8ipZNB7+PBhWltbhxFxh8NBS0uLaGPD5cqjNLk4VGMlXVMJkpZNo9HQ399PMBiks7NTkDxp6OPChQvCN20kSMaio0HSfEmkY9++fcBlbZP0gCG1xePi4qIeBjweD2azmWXLlomhk9Eg+bBJmZcmkwmbzUZra+untl4lveGpU6dEtcnn84kHgSt9Lj4+Hp1Oh1Kp5OjRo8DlacgTJ05gt9t5++23RVt8aLVNSjSIRCJ/U4h2DDH8oxAjXTF8IZCmnCS43W4OHTokSMLhw4dFqG8gEMBoNDJ37lzKy8ujFqNIJEJHRwfbt28X5EdaBJVKJaWlpcyePTsqp667u5vt27cLoXAoFKKvr48zZ85EkY2kpKSo1kdlZSWnT58W02PhcJiGhgYh6IbL05MTJkyIWhQjkQiNjY1s376dxsZG0doJBAIiv/Cqq64aZq/gcrnYt2+fEPp/+OGHOJ1OACHEv+GGG/B6vWzduhX436rUhQsXCIVCzJw5k3feeYe0tDR6e3tZsmQJdXV1OBwO+vv7+dKXvkR2djZtbW3ceuutFBUV8Zvf/EYstpFIhKqqKmpra5k0aRItLS2CaEmLlwSfzyfawBJkMpkgdYFAQOQYSu2x0SbwfvGLX7Bt2zbWr1/PuHHjhCWHVqsVC7rL5cLpdNLV1SXuk46ODpqbm0WLFS5rnK6//np+9rOfsW7dOo4dO8bs2bPJy8uL2mdcXBzLly9n165dvPXWWxQXF4uKi9fr5b333qO1tZUVK1aICpler8disXD69Glqamqw2WxiYT927BjHjx+P2odOp0OtVov7o7+/H7VaTWNjIxaLRQSL/z2EQDJyzcvLQ6PRMH78eFwuF0ajkd7eXsxmc5Rh6+Dvy+/3U11dTU9PD+3t7SxdunRUry6NRiMGOFJTU2loaKCtrY2KigpRsR0NwWAQk8kUZY8hl8tHzZOUYDKZRHyTFGx/6tQpamtrSUpKora2luzsbDQaDdu3b2fixIkcOXKEcDjM2LFjWbhwIe+//z7Hjh1j2bJl/+cqeQwx/F8RI10xfCEIBoPDgmwjkQh1dXV0d3dTUVFBRkYGkUiEixcvsn//frZt20ZiYiJjx44VLbj+/n62bNkionrKyspEm+LYsWPiB3fx4sWC1FgsFm688UYikQi1tbVs2LCBzMxMli5dGkXohrY4KioqKC8vJxwO8+6779LY2MjChQujiJm0cAyGw+Fg8+bNdHV1MX36dHJyclAqlXR1dbFv3z52796NRqNh2rRpI7Y86urqRIj07NmzRfakw+HAbrezZcsWJk6cSGpqKhs2bODo0aPceOONeL1edu/eTSAQYMmSJdTU1FBZWcmePXvIzc3F4XBQX19PdnY2oVCIrq4u4d01GFarFbfbTVVVFampqZSWlnLmzBn+67/+SxDGoqIi1q9fz7Jly/B4PBw/flwYmi5YsIDXXnuN+Ph4Fi1axJ49e4Q+70qDCp2dnYKUqVQqCgsLkcvllJWViXZidnY2BoNBfC81NTVotVqcTqdoyyoUChYvXszvf/97XnvtNXw+H0uXLh22b5lMxo033sjWrVv54x//yMDAAAsXLkShULB3715ef/11iouLufPOO0Vb3GQyMWfOHPbv38/jjz/OPffcQ0pKCmfPnuXtt98mLi5OeFFJ59XX10d8fLwQravV6mHVxc9ikjoapKERaUjEZDIRCoVoampCLpfj8/nw+/2UlZWJNr8EjUbDmDFjyM7OxuPxXDHn0Ov1cv78eYqLi4VuT2ojq1QqzGazmA4eCrfbjc/no7m5OaqarFKpaGtrG7XCNnv2bIqKikQ7Xy6XM2fOHBHyvX79esaOHYtCoaC9vZ2srCweeOABIpEIWq0WjUbD2LFjCQaDw/5OY4jh80CMdMXwhSA+Pn5ET6hAIMDEiROZMWOGaGmlp6fj8/nYt28fJ06cID09XSxKVVVVXLx4kXHjxnHttdeKqSvJ+HTdunVC8F5QUCB0V1KlorOzU1hEJCYmXlFPI+U4hkIh0bI0Go1X1K5IFhnNzc3MmTOHuXPnimPPyMhAp9Oxdu1ajh49SlFRUZR3mISmpiaKioq46qqr0Ov1+Hw+QT6NRiNKpRKPx8PAwACRSAS1Ws3AwAAejwe1Wi2muKRhAbvdztKlS0lOTh5xf4Mhk8kYO3YsDz74IDKZDIVCgUaj4Stf+Qo+nw+NRoNcLmfJkiXMnTtX6Gsef/xx8T2PGzeOKVOmoFQqxaKn0WhYsmTJZ/a6ksvlgtxKC7Tf7xexRxqNhnA4jMvlwmAw0NHRwYEDB0hMTCQvL4+cnBwWLFjAiy++SEVFBdOnTx+xopKcnMzzzz/Pz372Mz744AP+8pe/COH6jBkzeOSRR4R3F1wmdF//+tdpaWlh8+bN3H///SiVSiwWC1/+8pdJSUnhJz/5SdR5uFwuWlpaSE9PF+3Jf6S+SCI04XAYlUpFcnKyqFYpFAo6OzuJj48X1iMej0d8VsqtdLvdwn9rNEjTqQ6HA6vVSnp6OjfeeGNUpFIwGIza/uBjVCqVUQ9eUvD4SCRNgkajwel0otFo8Pl89PT0CIPi5uZmrrrqKrZs2YLVamXlypUjVs5iZCuGLxIx0hXDFwLJ+2oo4uPjyc3NjdJuSVWOI0eO0NDQIOwZQqEQ1dXVyGQyUeEaLDa3WCwUFBTQ2NhITU0NeXl5yOVyvF7vsCnHYDAogrUHBgZERmIgEBDmm36/H6/XO2zS7kpwu93CPkFqxUiQy+WkpaVhMpno7u6ms7NzRBKk1+sxGAw0NTXhcDjQarXCh6ukpISKigpeeukllEolycnJlJeX85e//AW1Ws3KlSvp6urC5/MJHVhmZiZbt27FbDazatWqqIrPSERE8jYbDCnPUcLQ6zk0jHlwxUSqOP6t4/pDj01q80qh0d3d3cTHx2MwGIRuTjruuLg4CgoKUKvVLFy4kKSkJAKBAG63G4PBIMifNHX661//mgsXLtDY2IjH4yE5OZnx48eLMPHBZNFms/GrX/1KkC+5XM6YMWPIzc2lu7ub/Px8xo8fD1x29L/22msBhIGvBCk+SqvV/l25gU6nk4GBAcaOHSuMWOPi4lAoFITDYQYGBigsLBQ5jS6XS5y7zWZDLpeza9cuzpw5w5w5c9Dr9cOufSQSIRgMUl1dzcDAAGlpaWKKcTC8Xi9dXV3DjrGwsBCTyRSViflZ74f29nZqampISEgQkUrjxo1j9+7dzJ49G7vdTllZGQ6Hg97eXpEMEAqFRNVWo9FQUFBwRc1aDDH8MxAjXTF8IVAoFFEGhhK0Wu2wH26poiQF9krieq/XK5zLR5q6k5zslUolHR0dhEIhBgYGOHjwIOPHj4+KHYpEIkLM7nK56Ovrw+/3o9Pp6OjoQKfTMTAwQGtra5QWKBwO09fXh1KpxOv1itaKNPYuPY37fD62bNkyoiFqd3e3WAxHgl6vZ8GCBfT392O326MyJ8PhMMnJycycGDm9gAAAIABJREFUOROfzycE94WFhZjNZmpra7HZbNTV1REOh7Hb7eh0Oh588EFgeCiwQqHgwoULbN68mcrKSnQ6HYsXL2b58uXodDpxjaW2UWVlJZs2beLMmTMoFAomT54sdGIymSzq/S6Xi+3bt7Nt2zba2tpITk5m0aJFLFiwAJPJdEUtj7TIb9q0iTfeeINZs2Zxzz33RNlnSH5PXq9XTFpKFR7JV03ycfvggw/Iz8+nqqqKrKwsMjMzqa+vF6LuUCiExWKhu7sbg8FAa2srHR0dOJ1O+vv7ufrqq8V3KZPJ0Ol0TJo0SUQ0SYiPj48aFFAoFIKADm3d+f1+nnzySb7xjW98Jp+t0dDS0kJXV5fYr5SYkJycTCQSEZN8kUiEEydOiAEA6eHGbDaLqULp/hg66DEwMEAgEMBqtdLS0jIsLkpCd3c3DQ0Nw15XqVRRMoGhuNK9MHbsWHbt2sWsWbPo7e0lNTWVvr4+LBYLBoOB7Oxs1Go1HR0dwlTY6/USDofp6OjA7XaTl5f3qYMCMcTwz0CMdMXwhUDK5hv64zo07Hrw6wqFQojrAeFCLhlhjgSpDejz+YRh6uCKmASVSkVOTg4qlYq0tDSxOPn9ftG68vl8pKamRpFCj8fDkSNH0Gg0Ip5I2qdarcZutwuXd2m8fihMJhMqlWrUJ33p3E+fPk18fDzNzc0kJibS19cnRuKlSTWDwYDL5RKZgRI5iouLIxgM0t3dTUpKyqj7qq2t5d577xWu+mfOnGH9+vXcc889/PSnPxVVsUAgwOuvv86PfvQjALKysgiFQjz33HO8+uqr/PrXv2bOnDliUe3s7OS73/0uGzduZMyYMSQlJVFfX88777zDsmXLeOaZZ4QIfSgk9/+1a9fyxBNPUFFRIRzXR3q/VqslJydHLObBYJAdO3awZ88err32WsrKyjh+/LgQ8zc0NNDU1ITRaKSxsRG9Xo/b7SY+Pp5Lly4JDV5NTQ1GoxGDwSAqltIUnHRPDg1fl3ISB78uvV/SJEnvq6ur4+OPP+bWW28VRCgYDAqjW41GIz6rVCpRq9Ujkobu7m4OHjxIaWkpmZmZwqNtqBWJ1+tl+/bt4jWDwcDkyZPp6uqitrYWv99PfHw8eXl5mM3mqL+xixcvotVqmT9/Pn19fSNqv6Rp1/b29hGP8fz58yL2qK6ujtzcXOrr60lOThZRQIPvU2lYorW1lZkzZ5KcnMx1110XRewHX/srtUdjzvQxfFGIka4YvhBoNBp6enrIyMiI+gGUpuKGYiSCJXkaDZ2EHAyJbEmGpVJFaSQNjbQonT9/Hr/fL7QvPp8Pt9tNTk4OZWVlUT/sKpVKZEjqdDoSEhKIj48Xx9bf349SqSQuLo6bbrppVNNLmUw2rCU39N+Li4tRKpVkZmai0+lwu92iMjjY0HS0aTPJjPZK+qEzZ87wxBNP8I1vfAOz2UxzczMPPPAAr7zyCnPnzuW6664jEolw9OhRfvzjH5OdnS0yCkOhEAcPHmTNmjU88sgjvPvuu6SnpxMKhXjxxRdZv3493/nOd7jvvvtITEyku7ubl19+mZ///OdkZGTwxBNPRF0DqVLm9/t58803+cEPfsD06dN5+OGHsVgsuFwu3G63EHFrNBqh4ZGGHTo6Orh06RJr164lMTGRb3zjG1itVpHPl5OTI+KhLl26RF5eHhcuXBCZfh6PB51Oh81mIxQKYTAYqK2tFZ+pr6/n9ddf5+DBg8jlcubNm8fq1atJTExEJpNx7NgxfvnLX/LEE09QUlICXCYcjz/+ODNnzuSWW26hs7OT559/nk8++YSamhruu+8+jEYjGo2GG264QViKSNWklpYW7HY7aWlpUZU+CV6vl7fffpvrrruO5OTkYdOk0r3wySefsH//fvFv48ePZ9y4caIK7fV66e7uJhAIkJKSQmJiogju3rdvH+3t7aSlpY3YEpc8v/7yl7+I9uVgBAIBTp48SWtrK9OnT+fChQukpqayb98+ZsyYgclkQqFQYDabkcvlhMNhenp6aG5uZvHixVGautEQI1Yx/CsiRrpi+EIg6WKG/jC63W76+/ujWo+SianX6yUxMVFUmuLi4rBYLHR1ddHR0UFaWtow/y5pAk4iG1IMiN/vB0b+Yc7KyiIcDpOXl4dSqRQkUCJTg2NLJDd9QCy0Q7dpNpvp7OzE7/ePqI/5LJDL5cNiXwYTuKHbDAaDw4w5pXO40v6zsrK49dZbxfVPT09nzZo1bN26lc2bN7N8+XJCoRAffPAB3d3d/OxnP4tqRV199dXcddddPPnkk/z1r3/ltttuo6uri3feeYdx48bxta99jeTkZODy9brrrrv46KOPeOedd/jKV74SVZ2QhP+vvfYaP/nJT1i+fDkPPPAAPT09nD9/nmAwyKVLl3C5XNjtdlJTU5kwYYL4njds2CDyLgsLC3nooYeEoH/u3LnDrpukuyopKSEcDlNZWYlcLiczM1O06iKRiBD0NzU18a1vfQuv18vKlSsJBAK89dZbnDx5kueee05YNBw/fjyKePj9fk6dOiXONT4+nrlz55KYmMipU6e4/fbbycrKEm7yZrMZlUolKqbScQ+OsxqKPXv28Otf/5qHHnqIhISEYQkDZ8+e5amnnqK7u1scwy233CLavEMd/1NSUigvL+f8+fMAVFdX8+KLL/LII49gMBiG+bp1dHTwq1/9io8++mjE45PJZEKX6fP5RAyS1WqNamUWFhaKoZuBgQHWrl3LtGnTMJvNo1ZFJQSDQfGewTmmQ98/tHUaQwz/TMRIVwxfCKTWxVB4vV7OnTsngqrh8lPxmTNn8Pv9YvINLv+AFhcXc/78eU6ePEleXp4gNZFIBIfDwdmzZ1GpVEKcP9T8U6VSoVQqxcSX5Lt0JUiVM0nPJZGwkVqHOp2O3NxcmpubOXLkCFarNaotJmmVwuHwqA7jI12j7u5u0WaSDCUVCgWhUAi73c7x48f52c9+FkW8dDodzzzzDDk5OaNuOz09PcrYUppeTExMpL6+Ho/HQzgcprq6Gp1OR0lJSdQxy+VyJk+ejFwu5/jx49x66620tLTQ2trK3LlzBUGVkJiYSEFBAZWVldTX10eRLqVSycaNG3n++eeZMmUKP/jBD7BYLKLtGwqFyMnJEec+2HNKoVDw9NNP89BDD6FQKLDZbCQmJkYJ5odi8GsKhYKJEyeO+p5IJMLGjRu5dOkSb7zxBqWlpQBMmDCB22+/XbQyPwtMJhOLFi0SxqnTpk0jEAjgcrno7u4W32F/fz9arZaenh4CgQAKhYLc3Nxh6QNWqxWn08nzzz/P2bNn+fKXv0x+fj5arRaXy8WxY8f4wx/+wLFjx8Rn5s6dy4QJE2hpaSE+Pp7+/n4RHSSFpF9//fV89NFH9Pb2EgwG+dWvfkVraysrV64kPT0dhUJBb28v1dXVvP322+zatUsMFTQ1NUVVsBMSEoQuTqvVsmDBAuLj48W9I6GiooKsrCxOnz4NwFtvvYVSqeTGG28kNTVVWGC4XC56enpISEhg6tSp+Hw+Tp06RTAYFLYd4XBYVOWCwaAwpZ0yZUpM2xXD54YY6YrhC0EoFKKxsZGcnJxhi92JEydE/I1MJuPChQtUVlZiNpsZP3581GRjQUEBhYWFnDt3ji1btgzz6WppaWHChAmiciARMEmblJCQgNlspqWlhf3795ObmytaWomJiVExMRIkInLq1CkOHz6MVqvFaDQKE9OMjAyhRZHL5UyZMoX6+npOnTqF3++nsLBQPOVL9gEGg4HZs2d/pqk1t9vN2bNn0ev1BAIB0W7KyMigs7MTu92Oy+XizJkzuN1u8Tmj0Tji+P5gSAHkgyFNJgYCAdHGdbvdqFSqYYaucFlTJZfLxcItGaNKE3SDITmMj1SZa29v5/e//z3x8fGcO3eOEydOMH/+/BGHLaRr6XA40Ov1aDQaUlJSRN6j1HLs6elBr9ejUCjw+Xyi/SvptCRSGQqF8Pv9YlJ0pMnJY8eOkZWVFeUzJcXf7N+//zOTrpGg0+mIi4sTgc4ajQadTofD4cBoNIqKjqTVkxAfH8/3v/99du/ezfr163n33Xf54IMPRCao1+vF4XAIzZhMJmPChAn86Ec/wu12U1lZiUqloqOjQ5i4WiwWtFotS5Ys4ctf/jKvvvqqcKN/5ZVXWLdundBgeTweQQo1Gg233HILRUVFPPnkk1H3okqlijImlTRhQ++nzMxMvvKVr/DDH/6Qvr4+vF4vL7/8Mm+//TZGoxG5XE4gEMDn8+HxeFixYgXjx49HLpeTkpKC0+lEp9Oh0+kEKZfC07u6usQ9GkMMnxdipCuGLwSj/dAlJSWJSI+DBw8SDoeFbcPcuXOHtRC1Wi2LFy9GrVZz7tw5Edgr6XwmT54sDEUBIZSXYDKZmDlzJjt37mTPnj0cPHhQVK0WLlw4IukCKC4u5tKlS9TU1LB+/XpBlhITE1m9enWUADghIYEVK1bw8ccfc+HCBc6fPy88yMLhMBqNhoqKis/c4jAajUyaNEk47xcUFBAXFye8xv6eVklvb2+UlYc0AOB2u0UlJhQKkZycLCpuQ9HZ2SnG82UyGQaDAZ1OJ6Y4By+sPp8Pp9MpCMZgyOVyHn30UXJycnjggQf43ve+h8ViYeLEiVHnGAgE2Lx5Mx988AF+v5/s7GzWrFlDY2MjL7/8Mk8//TRGo5H6+nqeffZZvvvd76JUKnnllVe4ePEiMpmML33pSyxZsoSPPvqI3bt3I5PJaG9vJzU1lYcffniYF1soFBJxU4MrMxqNBrVaPaKOafA1vZIXlUKhEDE9kUiE3t5e9Ho9crmc1tZWfD6fuL8koi8hNTWVhQsXsnTpUiwWC+vWraOrqysqNUGCVqtl1qxZ/PjHP2bixIl4vV5Bfuvq6jCbzdjtdvF9mc1mfvCDH6BSqVi3bh0Oh0NMpQ4+X6nadtNNN/Hwww/T1NQkNIgSampqMJvNJCYmivQISSuXlpZGOBwW+ZR33303LpeLl156idbWVkGee3p6Rr2G0jDFYONi6dgkeL1eent7R9VAxhDDPwMx0hXDFwK/3y+CigdDJpMxefJkioqKRDvLYDCQmZlJcnLysEqJ5Me1fPly0R5pb29n165dxMfHM3bs2CvaESgUCiZMmIDNZqOhoUGI7I1G47Af7MH7NBqNXHPNNeTm5tLf3y8mBFNSUob9iEuL0PXXX09LSwstLS243W7hXm+1WoXmbLBezGg0MnPmTLHgSlAqlaMaPP49TuYAly5dora2NorYHDt2DKfTSWlpqWirTp06lQ0bNrB7927Ky8sF6fT5fGzbtg2lUsnUqVORyWSkp6dTVFREVVUV586dE47yUgLB8ePHycnJIfP/O8hL0Gq1zJw5k4KCAn7605/y7W9/myeeeIIXXnghqkJ69uxZXn31VR566CFSU1P5wQ9+wMaNG7nuuutoa2vj9OnTTJs2jX379iGXyzGbzbz00kv09PTwve99j5qaGn77299SXFxMT08Pu3bt4ne/+x1arZbvfe977N+/n+XLl0cdm1qtxmq1cuLECbxeL1qtVmgPXS6XqOJIuqvBlgput/uKhGHwPSCTyaKE6gMDAyLsOSUlhVAoRFpaGl/72tfo7OzEZDIRiURITk7mmWeeYenSpWzZsoWTJ0/S3t6Ow+EgLS2NkpISQc4kcixVDw0GgyDvQ1vm6enp/PznP2fZsmV88MEHnDp1ira2Nrxer0ggKC8vZ8mSJcyYMQO9Xk9cXBz//u//jtPpxGKxYLFYxN92d3c3VVVVlJWV8cknn5CZmUlXVxe9vb0sWLAAuPygdP/99zN9+nTee+89jh8/Tltbm3D6T05Oxmq1ipblwMAAWq1WWMoYjUbxcDMwMIBOpyMUComsyxhi+DwRI10xfCGQJrmGQhK2ZmRkfOZcNJlMRlxcHLm5ueTm5jIwMIDZbOa///u/OXfunBBIj4a/dX/SPqurq+nr6/tMbSTpGLOzs0clcz09PbS0tAjjSrPZzMKFCz/zMf0j0Nvbyy9/+Uu+/vWvk5aWxtmzZ3n22Wex2Wxcf/31yGQyEauzfv16fve732EwGJgxYwahUIitW7eybt06FixYIFzfDQYDX/va1/jWt77FD3/4Q+677z7GjBlDS0sLL730Ei0tLTz11FNCYD8U0v4ef/xxfvjDH/KTn/yEn//850IfVllZSXt7O3v27EGtVos22Z133smMGTPYtm0bJSUl7Nu3j7lz5xIOhzly5AgqlYoNGzYwMDBAV1cXLS0tAJSVlTFx4kQCgQA5OTl0dHSMeEwLFy5k69atbN26lSVLlhCJRNiwYQM+n485c+YAlyu3SqWS/fv3U15eLjI0R6s8KRQKzp07x7hx44D/rZxJGDt2LHa7XViSSPrChx56iFAoxM6dO3nmmWdYvXo1CxYsYOnSpcyfP5/e3l56e3t59tlnWblypUg3GE3bdqWpQIPBELVdKb9Usjbp7e2loKBAbCMpKYlHHnlEfF6K3+rv7+fixYvCyDY9PV34zEl6spMnT9LS0kJSUhJWq5Wbb76ZOXPmiBB3lUpFRUUFRqORF154gWAwyP/8z/+watUqDhw4EKW5LC8vZ8eOHcyfPx+/3y++oxhi+DwRI10xfCH4W4Srfr+fjo4OAoEASUlJ6PV6MSEl6VyUSiU2mw2VSoVOp2PmzJls3rxZbEMKxpYcy+F/Kw6Shsfr9dLX14fJZBJGrHC5WiFVVo4cOUJVVRUZGRn4/X727dtHZ2cnEyZMIC0tjV27duH1epk9ezbBYJAzZ87Q3d3N1KlTkcvl7N27F51OxzXXXCOqKgqFghkzZvD+++9z+PBhFi9ezDXXXMPp06c5f/48+fn5YsEIhULodDrmzZv3mSN0PitkMhm33347Ho+He++9F6/Xi8fjwWQy8cMf/jDKnmDs2LE888wz/PSnP+UnP/lJlMB89uzZPPnkk2IgQS6Xs3TpUpxOJ7/97W+5++67hQ2AXq/n4Ycf5uabb75ilU6j0bB69Wo6Ojp44YUXsFqtPP7446IlqdfrSU9PR6PRcNNNN5GZmSly+Z555hmOHDmC0+lk6tSp4piSk5MF0S4pKSEvL4+LFy9GkZErTQjOnj2bO++8k1//+tesX7+ecDhMY2MjDz74oGgPZmdns2zZMv70pz9x8OBBVCoVMplsRA+p7Oxs5s6dy89//nPee+89dDodd9xxBwUFBSQlJQnNmUKhQK/X093dTXd3N2azGYvFglwuZ9asWRw9elTcuxKB8vv9KJVKdDodiYmJ6PV6enp6cDqdmEwm4fsmmYhKfnmJiYmEQiHa29sJBoNYrVbi4uKE0F8mkxEMBgURPHr0KO+99x633367GF4YSuykoZFIJMLkyZNpamoiNTVVWK7odDrq6upEi1rSGUrarKSkJHE+oVCIsWPHipbrDTfcwHvvvcfhw4fZsWMH5eXl1NTUMGbMGM6ePYtCoeDUqVNMmTLlU/4aYojhn4MY6YrhXxoej4c//elPHD16FLlcjslk4lvf+hYGg4HHHnuM5ORk3G43nZ2drFy5khtvvHFUMvLOO+/g9Xq5//77kcvlbNy4kbNnz7Js2TIUCgXd3d04nU7hVK/T6aivrychIYGsrCycTiebNm3i5ptvxmAwUFVVRTgcJjc3lw8++IC7774bi8XCsWPH2LNnD3a7nUOHDnHzzTeTlJREf38/KSkp7Ny5k4yMDA4fPsyYMWMoKCggISGBnJwc+vr6uPrqq3E4HGzatIny8nJef/11kpKS2LhxI/feey8pKSn/8BF3i8XC97//fSZNmiSO+9KlS8TFxTFhwgSKioqiRP5yuZxJkybxi1/8gtOnT9PR0YFCoSAnJ4fc3Fyhhevr66O1tZUxY8Zw1113cfXVV3P8+HG6u7sxGo2UlZWRn58/rM1z8803M3Xq1CibDJ1Ox5o1a8jMzBTTZ3B5YvCdd97BZrORn59PT0+PuEZ5eXmYTCZeffVVxo0bh91uBy5PxV26dInS0lLi4uIEeflboNPpuP/++5k5cyZVVVXI5XKxD+laabVaHn30UWbNmiXMc6dOncq5c+eGmQMbjUb+4z/+gz179tDZ2YnZbMZkMvH888/zjW98A7vdziuvvMLkyZNJTU3l5ZdfFpN53/zmN8nJyRlmzhoKhXj//ffZvn07iYmJnDt3DoDGxkZeeuklVCoVPT09fPOb3+Tw4cMcPXqU3t5erFYrwWCQBx98kE8++YSDBw+iUChITU3lq1/9Km1tbTz77LNkZWXh8Xi46aab0Ov1bN++naNHj5KSksL06dOZPn26OJadO3dSXFyM1WoVBF7KVpXOX7quEmFPS0sTGszRyK9kfmw0GtHr9ajVasLhMDabjXnz5nHttdfS2trK1q1bmTRpEocOHRrWLo4hhs8LMdIVw780jh07xu7du3niiSdISUnhN7/5DW+++SZ33303Fy5cYObMmdxwww1s376dTZs2sWTJkhENSGUyGVdddRVPPfWU8CPaunUrt912W5RoWWpFSO2NlJQUYcngdDoxGAwUFRUhl8s5e/YsZWVlFBQU8Ne//pUjR46IuB2Xy4XNZiMvL4/8/HxkMhkbNmxAqVQSDAbFpN2KFSvEomMymTCbzSQnJ3P69GnRZrn66quJi4sjISGB0tLSvyuXTzpPj8cjhPy9vb3YbDZWr14tXpszZw6LFi26IrmTbCHGjh3LypUrxeuHDx+mp6eH0tJSXC4Xf/zjH1m9erW4VgUFBcO21dHRQXV1NeXl5bS1teH3+ykqKmL37t2kpaXR2dkpQqdXrVpFIBAQFctx48bx9a9/nQ0bNtDX14fRaOS+++7DbreLqbs//OEPfP3rXxfVtNWrV/PnP/+ZX/7ylwAUFRUJ8ist8jKZDLvdPsxCJBKJcPz4caqrq0X4elJSElOmTKGzs5O6ujqSk5PZtm2bIKdSdWry5MkiqzAuLo5Lly6JSUKXy0VCQgJz5swRrVOpunvkyBExBXvzzTfz5ptvUlhYyKpVq3j33Xd5++23+e53vzvsurpcLrZt28Ztt91Geno6tbW1AGzatEkMi2zatIn33nsPk8lEQUEBzc3NFBUVceLECWpra9m+fTtr1qzBarXyox/9iOrqagwGA42NjTz66KNYLBYRfC7FVX3ta18TGjGHw4HD4WDv3r3CrsXhcIjA9/b2dnp7e0lPTycuLo7m5mZxjSQ9VkNDgyChcNkgdu/evZjNZq666ioUCgVWq1XkhJrNZrKysnj33Xex2+1UVFQgl8uxWq2Ew+FPtYWJIYZ/FmKkK4Z/CSiVSpGVN1hPUl1dTUZGBtnZ2cTFxTFz5kxefvll7rjjDgwGA9OmTROVKGnMfzRIbZoDBw6QnZ2Nx+Nh0qRJV3SCHzNmjCBiNpuN/v5+UTWQiJmEtrY2QdgkT6LBsUaXLl1iwoQJIug4IyODjz76iPz8fEpKSjAajbS1tXH8+HGsVisZGRkkJCRgMBhEy+sf0VJ0uVx8+OGH6PV6xo0bR3NzM4FAgJ6eHkKhEM3NzfT393PddddFtYF9Ph8ff/wxNpuNpqYm7HY7lZWVVFVVcejQIRYuXIjZbBa6GYm0SJWpcDjMqVOn2Lt3LykpKSxevFhsXy6X09DQIOKU6urqyMzMZGBggP7+fnp7e0UeYUNDAydOnGD69OlYrVba29spLi6mvLycjRs3MnPmTBITE+no6ECpVDJz5kyysrJIT0+nv7+f9vZ2EhMTWbVqFbNmzSIlJYXk5GQ0Gg3XXHMNCxYs4MKFC7jdbq699lqCwSBdXV14PB7RjqytraW3t5exY8dy8eJFioqKqKyspKSkhJqaGtG6zszMpKamhvPnzwufsIaGBpHBKPnVSS27/v5+0caDy38XFRUVfPTRR8KnLiUlha6uLkpLS9Hr9WRlZXH48OERv+tAIIDH4yE1NRWLxSIqkFJ4+oEDB0hISKCkpITm5mZMJhN9fX0kJiaiUqlwu90iYzEpKYn4+Hjx8JGYmIjdbo9qCyuVShQKBWq1Wui7/ud//geTyURNTQ3t7e1s3LiRlJQUduzYwbXXXsu7776L2WwmEokwbdo0Nm3aJKKXjEYjPT09PProo9x4441cf/319PT08J3vfIeTJ0+iVCq54447eOCBB7jtttuEbrK6ulq0LJVKpQgeb2ho4Oqrr8blcsVE9DF8IYiRrhj+JWCxWFi9erXw0pIgLUYSifF6vSLSR6lUih/8z9JuU6vVLF++nI0bN5Kfny8IG1zWmXR3dwvBeyAQEE7VgUAArVaL2Wzmq1/9KufPn0epVFJeXk4wGMRgMLB8+XI6Ojr45JNPSElJISEhAZVKhV6v5/z581gsFhYuXMjhw4e57bbbyMvLo6SkhHfeeYeTJ0/idrtJTU0lJSWF3bt3M2PGDKZOnUpVVRV2u50JEyZw66230tHRQUNDg4gnkqbmDAYDkUgEt9stKmejIRKJ0NjYyJQpU4hEIrS0tJCdnc2RI0coKiqiq6trRC2O9Ln29nY6OztFRUoaDti1axd33303Y8aMEXExg+F2u/nLX/5CQUEBhw4dwmq1cvXVV4vvOTc3F6PRSGpqKpmZmSQmJgqxtMPhEIHbgUCAjo4O/vrXv2K32zl9+jSRSIRly5bR3NxMOBzm448/FgHWbrcbl8uF2WxGr9fT1NRESkqKqCx1dXWxcOFCEcUUiUTQarV4PB6am5uFbsntdmO320UWpJQFmJCQQFVVFZMmTaKmpoaGhgacTidjx44lOTkZh8MhsjvD4TAVFRWiYiPlBUo+YiNN8xYVFbFu3Tq2b9/OnXfeiVKpJD8/n5MnT1JcXMzevXspLS2Nygv1er2C0JnNZo4fP07m/w/1hst+YufOnWPlypUEg0EsFos418GQCP/Jkyex2WwiuguGu7vDZZ8wl8tFa2srSUlJdHVoLeWQAAAgAElEQVR1EQqFuOmmm2hububcuXNYrVZWr17N008/zccffyzuO4/Hw7Rp04RLvdTudTgcNDQ0iFbztm3bhCN+fX09r7zyCrfccos4ruzsbEEQpRD6cDgsrClKSkqET18MMXzeiJGuGP4lIJfLR6w4VVRUsHnzZnbs2EF6ejrvvvsuCxcuvKLo2u12097eTn9/P06nU+hjVCoV06dP57XXXuP999/nhRdeEIuM3+/n448/FlUGj8cj/lf6oVapVGRmZg6zNoDLLa7+/n7Ky8tJSUlBq9Xi9/uJi4ujtbVVGG1WVFRQUlIizFErKiro6OhAJpPR29tLXl4ewWAQo9EoBMSSmLusrIzW1lbUajVNTU3A5cXT6/WiVqupr69HJpN9qgFqb28vJpOJ7u5uMjMzKSkpwWKxMH/+fGw2G+np6cLMdDBUKhVms5mmpiYhxJZ0VDabjVOnTgEIUjwUgUBAmFXOmzcvyhlfp9ORnp5OXV0dPp9PkKv29nZUKhWtra0MDAyIrE5JiO3xePD5fGRnZ2O1WrFarWg0GmFo2tzcTGpqqvistL3U1FRaW1spLCykvr6euro6IVSXCMvAwABerxe9Xo/X66W4uFiI0iWDVo1Gw4wZM4DLVZ5x48Yxa9YslEolBQUFhMNhTp48iVwux+v10t/fT0JCAh6Ph2AwiFqtRi6X09fXJyYdh8JsNlNRUSEqaTKZjOuvv57XXnuNZ599lrS0NFatWiWqSufOnaOpqYlgMMjKlStZvXo1b775JqdPn6asrAy9Xs+KFSt44403eOGFF4iPj+euu+4iJSUFnU6H3+/HbDaTkZGBzWbjzjvvZP369Xg8Hq677jpycnJobW0VRsKDkZ2dzbhx4/jtb3/L0qVLycnJEaJ7ya7B6XSKEG/Jd+3OO+8U98FXvvIV3n//fXbs2MHNN99MIBAQ1jA+n4+1a9eyaNEiZs2axYULF/jd735Hb28vGRkZNDY2UlNTI6wz4uPj6evrIz09nVmzZhGJRD5z8kMMMfwzECNdMfxLwe/343K5BNEwGAzccccdrFu3Do/HwzXXXMPKlSuJRCKUlpZGeQtJYu9Dhw6xfv16+vr62L9/Py0tLXz1q18lMzOThIQEysrKOHPmDPn5+WK/Um5gMBgkEomIKTOpwjZ4bH8kaDQapk+fHuWxNBok4W9NTQ3Z2dkUFxeP+J5IJCL+Tfr/NpsNq9UqvK4G70tqSclkMqqqqkbdf0pKCvPmzUOn00WJ8iUrizFjxoz4Ocnj6uLFi2RmZtLf3y+cyKX9tra2UlNTQ1xcHGVlZbjdbmpra9FqtdjtdsaPH09/fz86nS7KVV7yMjOZTLjdbjF1ZzAYUKlUZGVloVAo0Ol0jB07Fvhfq4+CggJhNpqQkIDL5aKoqIiJEyfS09ODxWJh165dWCwWxo8fz4ULF7Db7eTk5KBSqbDZbHR1daHRaMRErMfjEa3q/v5+/H6/qESp1WqWLVsWVaUaPO04GD6fj97eXsaPH08wGKSqqor6+no0Gg1Op5MxY8ZgNpvp6uoS5G2k637LLbdw0003iXa22WxmzZo1IsNU2u+aNWuirqkUZyTpFge3qP/t3/6NUCgk3id9/9I9LDm7Z2RkiJgj6XwzMjJ45JFHhp2vXq/nvvvuE8cVCoXIy8vjz3/+M4mJiUydOpUDBw7wn//5n8yePZsZM2aI4PNJkyaRk5PDpk2bCAQCTJs2DUAkGTQ1NdHR0UFVVRXf+c53xG/EYIG9VNWUKuE2m01UGtVqtaheflo1OIYY/lmQxSIQYvgc8JlvsqamJiGQzczMpLGxEZlMhtvtZuLEiSJ4eDAkQvJpCIfDuN1uHn74YZYtW8a11147YgtttG1fvHhRBP4ConI1NJJGQn19PdXV1VHEberUqRgMBpxOp9CmDQ2yHgmRSIQTJ05QVFR0RQ2ahJ07d7JmzZphMUBvvvnmMI80aeEKh8OEw+GoUGVpkZYW297eXvr6+tDr9QwMDIgoILVajdPpBC5rriKRCFlZWXi9XlpaWlAqleTl5aFWqzl//jwqlYr8/Pyocxl6DEOPQzqWoWQTLi+2O3bs4NKlS8yfP59du3Yxa9YsDh8+TEVFBY2NjfT29lJYWMju3bvJzc0VFZ1p06Z95uGEwdYYQ493MPEa3DIcGBggGAwKwbwUyA2IFrZSqfw/h6GPdDzSayN9h58n/t71Rarcfve73+Wvf/0rgUCA6dOn85//+Z/ExcWxc+dOnnzySV5//XWysrKuuD+ZTMaJEyf4zW9+wyuvvHLF3f5dBx1DDFdArNIVw78ULBYLs2fPRi6XEx8fT3JysnhqljL0RsJnWUzWr1/PRx99hNlsZvbs2WJR7O3tRaFQEAgEhF5Ham8NFgrv3LmTZ599lt7eXhwOB1lZWXz44Yejmp0eOHCAp556CqfTicPhwGw2s337dgoLC1Gr1dx3332ihTd4v1K1TZoIk3ySnnvuOZ5++mksFot4+g+Hw6IKI4V3X+laDP43qT136dIlTp8+TXV1NU1NTfT19REOh8X1z87OpqSkRAwiSN+DpIeT/LxsNhsKhYK0tDT8fr8Qkg/1pJKCpKVzdrlcQjx/8eJFGhsbcTgcok2q0WgwmUzYbDaysrLIzc0lOzsbi8UizlcS6hsMBurq6ggEAni9XsxmMwUFBTQ0NOB2u0WLy26309raSmlpKWq1mtOnT9PY2CiO0WKxMGnSpGHtPinkvKamhpMnT3L+/Hna29sZGBhALpdjMBhIS0sjJyeH/Px8oU0b/L1IVTnJq0warBiMtrY2Tpw4IUiERqNh0qRJwyZzJR3XpUuXOHXqFNXV1TQ2NuJyuQiHw6KamZWVRX5+PtnZ2dhsthEzNiW0t7dTWVkZFVWkUCgoLS3FZrMN+9zAwABtbW1kZ2fT19cnUgsaGhoYM2aMuI+H3nvHjx+nvb09alsmk4mJEydGtbbj4+N57LHHKCwsJBKJcP311xMXFyfun5UrV5KSknLFIRoJPT09dHR0iKplrM0Yw+eNGOmK4V8KI4UZjwS/3y9agJFIhNbWVkwmE1qtlqamJtra2sSCWltbS19fHxUVFRQWFpKZmSmm5rxeL6dOncJgMNDV1UUwGBQhyHFxcWJhh8veUfPnz6e7u5u77747KtplJFx77bVUVFTQ19fHt7/9baqrqwGoqqrixRdfpLu7m//4j/8QRqu///3v6e/vp6WlBafTyaJFi7j55ps5deoUL7/8Mnv27OHJJ5/EaDTy4IMPkpGRwf79+1m7di39/f3k5+dzxx13CC+qoZAmy6QQ6qNHj/LWW29x4MABOjs7RYVkJMTHxwujz+uuuw673S5aS42NjTQ3NzNt2jTR/goEAuzcuZPMzEyKi4uFvQNcJh29vb1UVVXxySefcODAARoaGoRR7adBr9czduxY5s2bx/Lly8nJycFgMDB16lR8Ph86nY6CggKsVivZ2dnI5XJmzpwphiPS0tJEtJQkqH799dd58803BckpLy/n1VdfFWJuKWNw9+7drF27lhMnTtDb2/upx5mRkcGXvvQl7rrrLkEkDhw4gMfjYc6cOWzZsoVXX32VKVOm8O1vf1tESB07doxvfetbIsw6MTGRF198kYqKCrH9QCBAZWUlb731Fnv27BFkYjRoNBqsVivTp0/nwQcfHLXC6nA4+PGPfxxFQuVyOQ888ADf/OY3hxHESCTCoUOHyMzM5PTp0+Tm5tLY2MiBAwdYvnw5tbW1jBkzJioYvLu7myeffJLTp09HbWvFihWiFToYdrude++9N+o1mUzG4sWLWbx4MQcOHGDt2rWjnruExsZGgsEgra2tdHV1kZGRgclkuqIDfwwx/CMRI10x/MsjHA7j8XhE9UXK95s9ezYGg4FQKER9fT05OTlotVqUSiX/j733jo67PLf9P9P7aDTqvVhWsyXZKrZxw91gIDZJwIBpJrBMGpAEzs1JziKEC4F7TwL3EDj3BF8DvkBoIQEXMG64gbstF9myZPVeR5qqKZr5/eHf943GKha5SU6SM3stL9BI8+3Su+d59rP3yZMnxfSYQqHg8OHD3H///aNE8Gq1WgikM/9/F/Ph4WFRhRj5idtsNmM2m0W2m0S6pIqR3W7HYDAIgmE0GjEajfj9/rCsxIKCAr7zne/wxBNPMDQ0JLZRXV1Nd3c3P/nJT2hra+Oll15i3rx55OXlcdddd1FTU8MTTzwhRv9bW1t56aWXWLt2LdOmTWPz5s28/vrrPP7442NeR41Gg0qlwm638/bbb/PGG2+MqjSMB4/HI7ITDx48yI9+9CNKS0uRy+WidTayaqDRaMRwwUgi0N/fz44dO9i2bRvnzp3DbrdPav8j4XQ6qaqq4uLFi+zYsYOHH36Ym266SWQIAqMCqkeSvvFyK0dCEn5LVgatra38x3/8Bx9//PGEYdZXH2d1dTWtra1hi/oXX3xBUlISXV1dvP3229xxxx28//771NTUjEk44I/B4CO3/f7777Nx40YRX3QteL1empubw3R4Xq+X1tZW1Go1SqUSt9tNYmIi8+bN49133xXvDQaD7Nmzh9tvvz2M1Eu6Nqm16Xa7GRwcFBXGzs5OTp48iUwmIzMzU1yHs2fPcvny5bDj0+v1LF26dNwPXVJly+/3o1arw8hfVVUV27Zto6SkZMLqVU9Pj6gSV1dXc+bMGUpLS8eNJYsggj83IqQrgr95tLS08OWXX6LT6ZgzZw6tra0cOnRIGIe63W5Onz5NamqqaHtJC6tMJiM2NnbMP+ShUEgIiaWJOa1W+5U/+Q4PD3P06FHsdjuFhYVhC/xYUKvVouU0EkqlksWLF1NSUkJSUhJmsxmbzcaUKVOEj5QUrQJXgp7VajVLly7FYrFwyy238Mtf/lIEAV8NjUaD3+/n1VdfZdOmTdecchwLgUCAw4cP87Of/YxnnnlG5FpeTa5Gtr2SkpJEW6y5uZlf//rXkyYKEyEYDFJbW8uzzz6L3+/nm9/8pliIQ6GQ0FKZTKYwXdhkYLfbcblchEIhmpqaeO6559i1a1dYy20y0Ol0VFRUjKoOqVQqDhw4QFpaGrfccgtffvnlhCHYPp9PkC6Hw8Grr77Ka6+9Nu69nggj25SDg4NUV1eLYwoEApSXl7N8+XI+/fTTsGpebW0tJ0+eHKWFHBwcRK1WY7PZgCsEXfpdjIqKwul0MmXKFEH0pIxO6QOHhOzsbCoqKsa8R16vl0OHDrF7927a2tpYv349ixYtoqamhsHBQUKhEDfeeCPPPffchPf4yy+/5IUXXgCuTEYbjcZrVqwjiODPiQjpiuBvHtIkWWFhIRaLBbPZzJQpU7jllltE/lpSUtKkNB0SvF4ve/fu5bPPPuPs2bP09vaKKbmbbrqJW2+9ddKxMNJE28gpsj8F0nTeSOHzRMJgSesmLTIKhYLh4eFx3yOXy/n000954403wgiXwWAQVhEWiwWZTIbT6aS1tZW2trZRlZ1QKERVVRWvvPIKzz//PHK5nJSUlDGJqtFoDCO82dnZlJaWjiJdMpkMvV5PVFSUMOI0Go2CPLW3t9PW1iYW2JHo7+/n3//938nPz2fGjBmEQiE+//xz3nvvPfx+P8888wyNjY2YzWYxhXctuFwuHA4Hvb29vPDCC2GESzpWg8EgrD2ktrTT6cTlcgnRfHx8/Kh9Tps2jd/+9re43W4ee+wxFAoFDodjwra6ZLcxNDTE22+/PYpwaTQajEYjJpMJg8EgPNukip1EcLRaLRUVFWIa12q1Mnfu3DBtnNFoZMaMGUyfPp0vvvhC7MPtdrNz504WL14s2rKSAe43v/lNgLCAdunDwZIlS8TPAnR0dHDkyJGw85PyR6UJ3JEYHh7m/fff51e/+hVWq5Wamhquv/56Fi1aRFVVFa+//joPPfQQc+fOFb8zIwcepDBuuVyO1WpFJpOJVr/H42HVqlXjXvcIIvhzI0K6IvibR2ZmJjKZjC+//FLk+438Y/qnwOv18pvf/Ibq6mqKioqYPn06TqeTL774gs8//xyXy8WGDRsmNdUmmWr29PQwMDBwTdsIj8eDw+EQDuQjCdB479PpdAQCAZqamggGg1gsFnJzc/F6vZw4cYL8/Hw+//xzCgsLxzV+bG9vD1us9Xo9c+fOFToai8UiPIwkgfu5c+d47733OHDggNAXwZXF7Msvv+Tzzz9n9uzZdHR0jKoCOZ3OUf5rkpHsgQMHcDgcgkCXlZVRUlJCbm4u0dHRaLVace39fj8ul4va2lq2bNnCZ599Nqot2dLSwu9+9zsKCwvp7u7mlVdeYfny5ezYsQOv10tTUxPt7e1iUQ8GgwwNDZGWljbmMxQIBGhtbWXfvn18+umnouWcmprKggULmD17NlOnTsVsNqNUKoUgvq2tjYsXL3L69GnOnDlDSUnJKO3U4sWLUavVaLVaZs2axfDwMKtXr2bq1Klj3jfpevf09LB79+6wexgdHc3s2bOZP38+06ZNIzY2VniY+f1+enp6uHz5MpWVlZw6dQq5XE5hYaF4zpRKpRiIGIno6Ghh5jvyw8zRo0epq6ujqKhIbCMYDApSKxnASh5kg4ODaDQa9Hq9iOk5fvy48JmTYLFYWLp06Zg+ZT09Pbz55pvcc889rFu3jgceeABAWFd0dXWRmppKb28ve/bsIRgMEhsbi0qlwmaz0dvbi1qtJjExkaKiIn7605+SkJAQNnEbQQR/LURIVwR/k5DaUzKZjMuXL4twabjSnktISGDnzp3MmzeP9vZ2mpubCQaD6PV6WlpaaG9v5+TJk5SXl3Px4kW6uro4fvw4s2fPRqfTYTQa+dnPfib8o6RqxYEDB3jooYf48MMPRVD1tTA8PIzL5WJ4eHhMJ/aRCAaD/O53v+P48eM4nU42btxIWVkZt956K7GxsaI1qVAoxJQZXBESL1u2jBdffJGEhAQee+wxMjIyuO+++3j//fcZHh7GarXy4IMPjhtvMjQ0JCoeFouFhx56iDvuuGNM93mdTifc4WfOnMkLL7zABx98EEasXC6XCBGWIm4kSERJioKRqh4ymYyKigpWrlyJSqViyZIlFBcXh00iXg3pWBITE5kxYwa5ubm8/PLLYa2vUCjEoUOH6OjooLOzk/j4eO677z6OHDmCTCbDYDDgdDrFgm8wGBgaGuL2228fU+M1PDzMhx9+yPnz54UZ6g033MB9991Hfn7+uAawWVlZzJs3D5fLJQiyJI6XoNFoWLp0adj1mkwA88mTJzly5AhdXV3I5XJKS0vZsGEDc+bMES3Uq5Genk5paSmrV6+mq6uL9vZ2LBYLbrdbRFSN1ONptVrkcjkKhYL58+eTnp4epr2SkgAKCwsFQZJIV2xsLH19fahUKpEiIXm5GY1G4uLi8Pl87Nq1a1RVevr06RQUFIx53jabDbfbzYoVK0hMTByVWCFNIqalpYlJUJVKhUKhQKvVit9hKVKrtLSUvr4+IS2IIIK/JiKkK4K/SQwPD9PY2IjH46GnpweAtLQ0EdS8atUq3G63mEK76667kMvlwnRTMtM0Go0UFxdTUFCAUqkUbRW5XM7MmTPD9qlWqykvL2fq1Km0tbVNWvMk5eNlZWWFVYPGglwu58Ybb2Tx4sXiNY1Gg9ls5tvf/rZYUKKionjyyScFCVOpVDzyyCPYbDbkcrnQhK1cuZLZs2fj8/lEa+laC4lWq+WBBx7ggQceuOakqEwmIz4+nu9///tUV1dTWVkZ9v0LFy7Q2toqYogkqFQq4uLikMlkIkBaQnR0NP/yL/+CRqMZ17pgZAzTyGMxm83ceeed1NfX895774XpyDo6OqirqyMtLY3+/n6qqqrweDy0tLRw9OhRcnNzsVqtIldRal+OhWAwyMGDBwVpuvfee9mwYQPR0dFjWia0t7eLrD+ZTIbRaBTGtiOD1AF27tyJ0Whk/vz5X2nRr6qqEsL166+/np/+9KdhWqmRGLlPSauYkZFBTEwMhw4dwmq1olarGRoaorOzE71eLypvEmlPS0tj/vz51NXViesUDAbZvXs3a9euxWw2C986q9UqLDqkZ8rtdhMdHY1cLmfKlCkoFAouX77M6dOnw45V0iWOp4XUaDQoFAr6+vrC7pekt1OpVERHRwvT3Ksx0muvt7eX7du3k5SUhFqtxu12T7rlHEEEfw5ESFcEf5OQHLKDwSBTpkyhq6tLfFJVKBTC0qG/v19k6km4utLj9XpRq9VhBCMUCjE0NERNTQ1nzpwR/lSDg4PU19cLrdhkIFXipCnF8Xy7JIxVPRsYGMDhcDA0NERKSgpqtRqHw4HD4SApKQmbzUZ8fDwWi0VohhoaGjCZTMTFxTE4OMjg4CBdXV3jOspLqKioYM2aNQQCAeHJpVQqhTfa1URAJpORnJzMrbfeyrlz58Kuy8DAAIODg6MIhKQ1q6qqwul0Mm/ePPR6PW63W1QDpRaxtH+bzSaI8meffcbcuXPH9IUyGo2sXr2anTt3hlUWJeH+ggULWLlyJU8//TQNDQ384he/oKSkhFWrVolJ01AoREZGRthzczUkzdzKlSvZsGEDVqt1zJ9zuVy89dZbrFixYkxXebvdzqVLl4RIvLKycsJW4kTHA1emX//pn/5pzBie4eFhzp07x9atWxkYGGDDhg1MmTKFuro64XcmZUtaLBY8Hg9xcXGiRXr1BOry5cvZunVr2HW+dOkSp06dorS0VAxzpKSkCG85v99Pb28vBoOB1tZW9Hq9qGIdPHhQfIiSkJSUxIIFC8YloFKSwQsvvIDT6cRut9PR0cGWLVv49a9/zdy5c0lKSpqUP11jYyPbtm1j06ZNdHd3T9oUN4II/lyIkK4I/iYhidPhjyLhq6fPhoeH+f3vfy8+dY+H48ePY7FYwkw5e3p6ePbZZ9m6davQe0RHR4tsvYmyHa9GbGws8+fPFwv6n4Lt27dz8eJFYmJiSE9PJy4ujvPnz+P1eikuLubkyZOsX7+eqqoqsWhJhOemm25i9+7dQnM0lhhZgk6n4+tf/zp1dXXCFNZsNqPX65HJZMycOXPMc5fJZJSWloqAaAkej4eOjo5R90Yya5Um9ySbjUuXLvH555+LqVKpJRQVFcWJEycoKiqisLCQ48ePk5eXN6aXlEwmY8qUKaSlpY1q50qtt3vvvZdFixbR3t6OyWRiypQpGI1G9u3bJ8LFx9NzjURycjIPPPBAmO5p7969NDY24vP5WLVqFWlpaSIzMxQKceHCBfbt20dcXBxLly7l97//PXv37uWGG27g1ltvJS8vj56eHrxeb5g57oULF/D7/WIidCxotVruvvtu8vLyxkxTOHHiBI888ghut5uBgQGRlfjRRx/R3t7OM888w/z588M0cyOrR1dXFqdNm0ZJSQl79+4Vrw8NDfHJJ5+IHNGUlBQh3peqSjk5OSgUCpKSkvB4PCgUCux2O/v37xdDBtI+5syZI8KqxzvnH/zgBzz//PP8+Mc/prW1lYsXL2K1WlmwYAGPPvoowWBwUvYn7e3tuN1uzp8/z7Fjx8jIyCAjIyPSZozgr4YI6Yrgbx5XL+g+n489e/YwODhIZ2cnDoeDQ4cOMTAwQHl5ORaLhePHj+P1ekXci8/n4/jx42i1WqZNm8b//t//m1dffZW1a9fygx/8gIyMDCG8vffee2lubp708ZnNZo4cOUJlZSWlpaUilPmrIBgMUlFRQX5+Ptu3b+fUqVMiyLqhoYH09HTOnTvH+fPnmT9/Pi+99BLZ2dnYbDZaWlrw+XwsXbqUoqKiCScoMzMzKS8vp76+nqSkJFJTU4Xw+upKx0hIU2pWqzWMdAWDQWw2G8FgMIzAKJVKZsyYIcxYRyI+Pl446be3t+NwOJg1axZpaWlUV1cze/ZskpKSxtUpwZUhgOTk5FHtTsnm4fLlyxw5cgSXywXAoUOHKC4uBq7EMwHk5+ePe52kc543bx4FBQVhx3H+/HliY2NJSEhg9+7d3HvvveJ7fr+fDz74gK9//eucPn2akydPMnPmTGw2G7feeitGoxGDwcArr7zC3r17SUxMFPdr6tSp16yS5uTksGjRonHF/2+99RbTpk3jscceEzmMCoWCrKwsdu/eTVdXF1qtdlx/NL1eH0Ywo6KiWL58OV9++WWYxYOkLZOujUwmw26309TUJDzuLBYLXq9XTLZeunRpVCaoTqfjhhtuQKVS0d/fz+DgoAhbt9vtmEwmcU8ffvhh1q9fT0dHB8FgkNTUVAoKCjAajWzdupXnn39+wmsHV6qOKSkpwjR3Mma8EUTw50SEdEXwdwdJKL9s2TIuXbqESqUiNTWVoaEhDh8+zNy5c6mrqxMi6Y6ODs6cOUNUVBSrVq3C6/WyZ88ezGYz3//+90V4NFwR7Up+Q5OF1B6TWn9/CqRwZ6VSSSgUwmq1kp+fT1lZmWijvvnmm+j1erKzs0lNTWXNmjXExcWh1+u5cOECRqPxmpWbgoICkpOTRUvp6qrWRGRRskm4GkNDQ2KS1GazsXv3bkpKSjCbzUJnJkXlDAwMYDKZRGxQV1cXeXl5oj2Vn5+PSqXixhtvnNA/ScoqvBrS1OFjjz1GVlZWWCs3MzOTxYsXk5+fz8DAwDWJsUajYdGiRaNaUGq1mrS0NGJiYqipqQlbuH0+Hx6Ph5ycHLq7u+nu7iYlJQWtVitIpNVqZd26dWO281Qq1YQ2IbNmzSIuLm7M7w0PD1NbWytSCUaSb6PRKOwmTpw4AVzx+5LyJ6VJ2jvvvJPvf//74n1yuZx58+aRlZUlbBbgykTh3r17yc/PD4s3kn53vF6vqEJaLBa0Wi379u0b5eKfm5sbVtnr6OgQlVG73U5vby8ul0vouioqKpg9e/aoc+/p6UGj0XDLLbeIIRyNRkMgEBCk0GAwUFtbS3V1NV6vl56enkh7MYK/OiKkK4K/O7jdbqKiokQ15PLly9TU1BAbG2DQjS0AACAASURBVCumouLj44mPj0cul+P3+2lsbKSiogKdThemSRrp5xMIBNixYwf19fXjLmxjQalUUl5eTkFBwZ/s0xUTEyOEvXq9nuLiYrZt28bBgwf52te+Rl5eHj6fj7y8PADmzp3L5s2bsVgs3HbbbWJhnwgKhUJMnY3XPu3p6aGuro6EhATeeustZs+ezfLly8ME2VdjpDfYtm3bqK+vR6PRoFQqiY2NpaKigr6+PgYHB0U+oVqtFg7/6enp4n5JyM3NnfBcZDLZuASztbWVtLQ0/u3f/i3sZ7q6ujh16pQg7ffee++oycKRsFgsTJ06dRQ5c7vd7N27F5PJRE5ODp2dnVy+fBmHw0FeXh6ZmZl88MEHdHZ2csMNN2A2m+nr6+PQoUNUVFRQXl5OWVnZqP1dvnx5wulXtVpNQUHBuERBJpNhsVjo7u4Oe314eJhLly4RHR3NHXfcwZ133snAwAAvv/wy3/zmN8nJycHr9fLhhx8SHx+P3+8Pa7MnJydz/fXXU1NTI353QqEQO3bs4K677hJaN4vFMqamTS6X093dzRdffDHqd2/ZsmWisibZX1yNq8PERyIQCHDo0CEGBwepqKhg0aJF9PT0YLPZsFqtDAwMYDAY0Ol0zJ49m8rKSp5//nkUCoWwYYkggr8mIqQrgr87JCQksG/fPvbu3cvg4CBer1f4SklVh5F/nNVqNTfddBMdHR1UVlZSVlbG4sWLOXr0KE8//TT3338/CoWCffv2sWvXrjEJl8vlEtOUg4ODOBwOPB4PJ06coLe3F61WS1JSknivx+OhsbERt9uN0+mkr68Pn8/HqVOn8Hg8aDQa4uPjMZlM1NXVUV5eTnV1NRcvXiQ9PZ3u7m4yMjIwm82ixbh69WpsNhtnzpyhp6eHFStWCPH/N77xjWtWbuRy+TVF9r29vdTX13Pq1CnKy8s5ceIES5cuFeTlWqRyaGiI5ORkBgYGcLvdIjJGCiseCUn/M3K6LBgMitgnl8uF1+vF5/MRCATC/klTd2MhLi4OuVwu7AokWK1W7HY7SUlJtLe3h/mHjYWYmJhRAdNwxUw2OTmZvLw88vPz6e3tZenSpcLU9u6776a6upq5c+eKduHdd9+N0+kUFg0HDx5k+/bt5OXlcffdd3P+/HmUSiVRUVETtlQnEoyrVCpWr17NCy+8gFwuZ3BwkHPnznHmzBk2bdrEd77zHTFFeObMGQwGAytWrBDayf7+frZu3UpUVBR2ux2/309+fj6lpaWsWLGC3//+92GE7tKlS5w8eVIYoo5HhEOhEGfOnBkV+xMTE8OyZcvE+UxEpMfD0NAQv/zlL3n44Ye58cYbiYuLIzU1VYTBSx8WpKxWq9VKQUEBCoWC/Pz8SOZiBH91REhXBH93iIuL4xvf+AZOp5OioiKio6NJTU1FpVJhMBgwGo1ho/0VFRUolUpKS0ux2+3IZDK++93v0t3dzaeffsp9992HTqcjLy+PJ598ktraWt55552wxa2yspKHHnqIgYEBvF4vXq+XUCjEhg0b0Gq16HQ6HnvsMR555BEAampqWL9+PZ2dnfh8PoaGhgiFQjz22GPCKuHee+9l7dq1PP3007z44ovk5eWRk5ODWq0W25emLoeHhwkEAgwPDzM8PExeXh46nQ6Px4NOp5tUhU2ympgIsbGxNDc3o1arKSsrCws9vhaCwSArV67kt7/9Le3t7cyZMydMDzWW8DsYDDIwMEB9fT2XLl2iurqaxsZG4c0kEWrp3CXSJV2HsaBWq6mrq+PWW28lNzdXVPUWLVrEggULqKqqQqPRXJN0GY1GtFqtqORJvlZZWVlkZmaKalxaWlqYEDwYDFJWVhZ23iOnFXft2sXLL79MWloap06dYt26dWzcuJEVK1aQnJw87vGo1eoJI6bkcjmrV6+mt7eXTZs20dTUxFNPPUVsbCz33HMPd911lyAZFouF1tZWPvroI/Ly8nC73fzhD38gPT0ds9lMU1NTmM4vLy+PiooKtm/fLvbn8/n4+OOPx2zBjoQUfn51672srIwpU6aM+R6fz4ff70ev14uA9rHarna7HbfbTVpa2rg+XyORm5vLP//zP7N7924MBgMqlWrcgPgIIvhLIEK6Ivi7g2RhMBJXj+CPbBtFR0eLCphkiRAXF8eLL77ID37wAxwOB2q1muTkZKxWKz09Pdx8880kJiYKwXdOTg6vvfZaWF6j5CUltWIyMjIEQUhPT+cXv/gFfX19ZGVljdnOi4+PFwtRMBgULTmNRiPiTKQhAKVSicFgEMRDo9EwNDSEVqsVfkuSIeR4UKlUaDQasZjCH60dJMTGxrJu3ToGBwcxmUysWbNmUoSur6+Prq4ulEolP/jBD1CpVONmHUqam+rqaj777DMOHjxIY2PjpIOkrwWdTseGDRtGLdJZWVmcOXMGlUpFQkLCNasckr5uz549KJVKysrK8Pl8zJs3T4RD+/1+QqEQOp1OXLO2tjaioqIIBoP09vaSk5OD0+lEq9Wi1+s5fvw4t99+OwUFBbzxxhsolUpMJhM1NTVkZWVNGOMkab4GBwfp7+8XoewpKSkinujb3/42Cxcu5PLlywwPD5OamkpRUVEYYUtNTeW73/0ub7zxhkgOmDFjBvfddx8OhwOv10tcXJwgRQaDgZUrV7Jv374w8nT06FHq6+tF23sstLa2cuzYsbDzUiqV3HzzzaLKdjW2bNnCrl27eP7557HZbPzwhz/E4XCMep58Pt+YQy/S76mkNzQajeJZN5vNYqr2WjmpEUTw50aEdEXwdw+JRAQCAeRyuVgsJadtpVJJT08PHo9HmCJKxEnyOpL8ogKBAHFxcVgsFkKhEO3t7ezZs4e0tDR0Oh0xMTFUV1cjl8vp6ekhOjqapKQkqqur8Xg81NfX09XVRXFxsfDSWrhwoQgAvhqSj9Wrr75KZ2cnGo2Gb3/72xQVFdHQ0MDrr79OW1sbJpOJ+++/n0AgwJ49e3j00Ud55plnSE5OZt26dbzyyivcc889E7YPpUWnq6uLkydPolKpmDt3bpggfWBggPfff5/Gxkb++Z//mT179oRVSMaDZAfQ1tbGTTfdJBYzKSpHQjAYpLW1lbfeeostW7bQ2dk5oXD8akgtPOmejfXe2NhYVq1aRVVVFW63W0TtNDQ0UFdXh1wux+12k56ePmGFRsoi7Ovro6CggKamJg4cOEBZWRlDQ0PIZDJRjUtNTaWxsZHly5fT0dFBKBQS03xKpZLPPvuM7OxsbrjhBqKioujo6CA1NZVAIEBHRwfd3d0UFxdf83hkMhk9PT28+uqrIp8zLS2NO++8U1xfuEJGkpOTkcvlaLVaXC5XGMFQKBSsXLmSBQsWiMDqqKgoAoEAZ8+exe/3Cy2UtG8p+mjkxGhvby+7du0iNzd3XIJ9/Phx2trawl7PzMxk1qxZY/58MBgkLi6OvLw8QW5ra2tZvHjxKDPfkebJI7dhs9l455132LJlCwaDgZdffpm4uDg+/vhjioqK8Hq9REdHU1VVxZw5c8a95hFE8OdGhHRF8A+B7u5u4ReVn58vJsf0ej1paWlcvnwZj8eD3+8nNTWV6upqMdaekJDAhQsX0Ol0REVFYTabqaurE9WpqKgoFi5cyOHDh+nq6qKxsRGLxUJWVha1tbX09PRgt9uF/qi4uJhp06aJAOqEhIQJ9VY9PT2kp6ezfv16/s//+T+89957ZGRk8NJLL5GcnMxPfvITTpw4wXPPPcejjz5KbW0tHR0d1NTUYLPZRAzStYT0cEV4fP78eUKhEKmpqaMqcN3d3VitVnw+H16vd1RG3nhITk5m6tSpHD9+nNOnT4vFOjExUZCuYDDI+fPnef755zly5MiY7UGlUolOp8NisQjyazQa0el0oi0rtVN37tw5yoIAruh8/vVf/5UTJ07gdrt57bXXOHLkiEgDiIqKmtT0Ilxp6WVmZhITE8O5c+cIhUJYLBaOHDlCSUmJMFqVJi+NRiMul4vOzk7S0tLo7u4mGAwSFRVFSkoKcrmcG264gV/84hfs3buXrq4ufvjDH1JaWsr06dPHjGS6GgMDAyQmJnL77beLoHWZTEYwGOSjjz4iKiqKiooKDAbDNcmyXq8XRKarq4vDhw9TVFREe3t7mJ8WXKnMLlmyhPPnzwsBejAYZNeuXdx5551jtq5dLhf79+8Ps5uAK63esbSTLS0t1NfXk5mZycKFC8W1yMjI4Omnnx5lUGuz2aiurg57ze/389prr/Hee++RlZXF5cuX8fl8KBQKdu7cydmzZ7nnnns4c+bMVxqYiSCCPwcipCuCfwioVCqMRiMtLS0MDAzQ2dlJfn6+WHiSk5MJBALk5OTQ2tqKSqUiJyeHU6dOYTQahQmp5Bfk9/tJSEgQk35yuZycnByOHj1KZmYmbrdbBP8mJiZy/vx5MjMzUSgUYvGJj4+npqaG3t7eCbU6iYmJrFy5kqysLCoqKvj888/p6OigoaGBb33rW+Tk5BAfH8+mTZvEQnj69GnS0tIIBoOcPXs2LLdxInR2dtLU1MTw8DA+n4+EhISwHMHExERBzN544w3Ky8snTU5WrFhBXFwcxcXFowhgKBSiubmZZ599lqNHj46qUElxTXPmzGHGjBmkpaVhMplE+1S6B9KxuFwu6uvrxyRdtbW1XLp0iRdffJGnn35atN2++OIL+vr6MJlMBAIB1qxZM+H0IlypDkrPhV6vZ8aMGcTGxhIfH4/ZbCYzM5NAICCIpWRQ6/F4sNvtGAwGPB4P2dnZhEIhurq6yM7O5tlnn+XEiRP09fUJ77SRAwUTwWg0cvr0adrb2zEajaSkpHDbbbfh9/t54403mD9/vhD2Xw1pOGEsXL58mR07dojnu6WlJWyKVC6Xs2zZMt59913a29vF6zU1NZw4cYKVK1eO2mZDQ8MoLzWTycSKFSvGbFv39fXhdruBP2oA4+LiWLdu3ZiRVZIsYGSF0GazsWfPHh555BGKioqEBYYU9n3o0CGhm4xYRkTw10aEdEXwd49AIEBtba0Q04+lV5IqAVJV4motkySslslkREdHk52dTWNjI4mJiSJDLykpiTVr1hAKhaipqSEmJobY2FhRzVKpVMKvyu/3YzQaKS0tRa1WEwwGRUtTaltJehadTheWCTkS0tfSsep0OqKjozlz5gw5OTn09/dz7NgxpkyZMqlKV3JyMjExMbS0tBAfH8/BgwdZtmyZaDHqdDpWr14txNETTdONRHd394RVMZ/Px1tvvTVK2yOTycjNzeWhhx5i8eLFWK3WP9l2Q4LX6xVh3VKr2eVyYTAYKC4uxmQyER8fP+Zk4tWQCJskKI+Li0OlUglibbVaCQaD2O12cQ2dTidNTU3CkqClpQWtVotWq0WpVKLX64mKiuLmm28W+xkYGECv14+rcRqJmJgY7r77bi5cuIBWq2XmzJniHkmkf7x79vrrr7N///4xyYbNZiM2NlZkl14dSg0wZcoU5syZwx/+8AdxHz0eD5988gmLFi0KG04YHh7miy++GGVhUVRUNMpwVoIUTD5y3wkJCaxbt058LYnqJU3lz372M6KionC5XKhUKjHoMnXq1DF96CT3+sHBQZqamkZlsEYQwV8SEdIVwd89ZDIZGo2G/v5+ZDIZOp0Ok8nEsWPHiI2NJTMzE6PRSHNzM8FgELPZjMPh4Pjx46hUKiEwl+BwOOjp6UEul4+5CErTXHClvXLx4kWqq6uZMWMGDQ0N4g//SKF1UVGR8GCScgYninuJiYkhIyODffv2ER0dzenTpzEYDGRkZJCVlcXWrVt58sknqaurY8+ePSxZsmRS5Egul+P1emlsbKS9vR2lUikIQygUoqGhgebmZpYtW4bP5+PNN99k/fr112xTeb1eIYjv6OgQJqoVFRVYrVYaGhr49NNPRzmAZ2Zm8uSTT3Ldddd95fH98dzEs7Ky8Hq9vPjiizQ2NvLOO+9w8eJFHnroIeLi4mhvbxeu+JPdp8vl4qWXXuL+++8nMzMz7Hs+n48PPviAW2+9lZiYGKZPnz5qkk5y5lepVLz22muUlJSEeVpt3LiR5cuXT/hMSHA4HBw5coSYmBjx/zk5OahUKpYuXcq5c+dwOp1jmsd2dXWxbNkyCgsLR32vrq6OyspK1Go1TqdzTGKm1WpZtWoVO3fuxOl0AleqmMeOHaO+vj7svAcHBzl06FBYm1LSko2Xeenz+dBqtXR3d4/pkQZXKnKBQICuri5iYmIYHh6mo6MDnU5HUlKSyJWsqqoS0V9w5YPB/v37KS4upqioiLS0tFEt1Agi+EsjQroi+LuHQqFg+vTpYspPoVBQU1MjRNoOh4P4+HjxeigUIisri+bmZjFZODISxmQykZGRIUTIY0EKzB4aGqKtrY3e3l7sdjsNDQ0EAgGsVisul4tAIEBMTAyXLl1CqVTi8XhENa2np0fE2QQCATGdZTabUalUPPDAA2zatInHH3+cYDDIQw89hMlkIisrC41GI1qW0dHR1zQTHYmMjAy6u7uFR5ZEkBwOB9u3b+fSpUtcunQJn88X1nqcCFJoseRNJkESu585cyasJQVXWsK33XYbs2fPRqFQUFdXx8DAAEajUXhaSWJxnU6H3+8nLy8PhUJBIBAI289IxMTE8OMf/5j33nuP1NRUuru7WbduHddddx1Op5OWlha2bNlCeno6S5YsmVSFUJpE7OnpIRgMYrVahfC8o6OD8vJyQSSCwaCYmpOmDWNjY8Uz093dTX9/vyAtgUCAy5cvM3fu3GseB1zx09Lr9Xz961/H6XSyadMmcS9LS0vZvXs3jz/+OBUVFWHnZjabmTdvHsXFxWO2u1NSUqitreX06dNcuHCBG264Ycz9l5WVUVBQwPHjx8Vr3d3d7Nu3L8yhvrq6mgsXLoS9Nzk5mXnz5o37TOl0urBKIlx5hqS2sFarJSYmBp/Ph8FgEBVIs9ks9IBqtZo1a9awceNG9u3bR3t7O//+7/8utJDPPPMMOp3umq3lCCL4SyBCuiL4u4cUji1VpQKBAIODgxgMBhISEgiFQlRWVjJr1ixaWlowmUzi37Rp00b98ZUiZkKhEG63G5VKNariFQqFOHfuHFVVVWi1WpHjVlBQgMlkwmg04vf78Xq9uFwuMjIyRKUrKioKtVqNSqXCYrHw85//nJaWFs6fP4/D4WDRokW0tbXh9/u57bbbhG+W1Wqlv78fg8HAt7/9bbxeL+Xl5bz66qtYLJZJXy9plN7j8bBq1SqhR9Lr9cybN4/ExESKioqEG/lkSJc0CWm1WsnOzhYTotI02qVLl0ZVpqKjo5k/f76oqPT19dHc3IzVahXXSmpxSgRnZEtrvIDjUChEXl4eP/3pTxkaGkKpVKJSqZDL5fT19QnC0tjYOK7X11hwOBy89dZbInz9Rz/6EWq1msOHD7Nt2zb+x//4H6SmpvLZZ59x+PBh7HY7iYmJeL1ennjiCQA2bdrEjh07OHbsGB9//DFwRfgtPSOTgWSQ+tJLLxEMBpk1axZyuRyfz8fmzZtpbm7m0qVLHD58OKxVm5WVxW9+85uwaKSRSE9P55FHHqGnpweLxRKWwTgS0dHRrFy5ktOnTwtBfSAQYN++fdxxxx1ER0cTCAQ4fPjwqEgtKdx6vGfKZDIxa9YsLBaL+Jmuri6eeOIJNmzYwIIFC8KSCyRcvb1vfOMb6PV6PvjgAywWCwcPHmT69On8t//23ya0t4gggr80IqQrgn84KBQKysvL6ezsJD4+Hr1ej0qlIiUlhYULF9Lf309sbOyYZGok/H4/X3zxBTk5OWMGEUs5e1Kwc1ZWlqh2jFwEJKKQkpIy6ntwRRc0PDyMVqslJydHGEJqtVpkMpmYMlSpVERHR+P1eoVpqlqtHncRHQ9RUVFMmzaNqqoqvF4vzc3NJCYmotFoKC0tJS4uDofDwdDQED09PWGWDxNBmuCTcPnyZUKhENnZ2WEh2RIsFkvYAlpSUiJ0efBH7zK5XM7w8DA6nU60A5ubm+no6BjzONrb2/n000958MEHMZvNBINB9u7dSzAYJDk5mYKCAqxWK1ar9Su1NJVKJStXrqS8vJznnnuOpqYmSkpKWLVqFXv37hUEzuPxMHXqVHp7e5k6dSrnzp3DZrMxZcoU1q5dS2dnJ0lJSSKAW6VSMXXq1AmHLUZCq9WyZs0anE4nnZ2dgkSoVCp+/vOfjyuUlxzZZTIZLpeL5uZmcnNzxTVQKpXExMRQWVnJ2bNn8Xg8ZGVljXpeZTIZS5cuZfPmzWHmudXV1VRXV3Pddddhs9k4cuRIGNHW6/UsX758QlPa5uZm6urqKCkpEc+S3W4XGavS/ieCz+eju7ubhQsXsmzZMmEdo9frhU9fBBH8ZyFCuiL4h4NMJiMmJoaYmBgRGZOTk4PP58NsNhMVFYXf7yc2NhaPxyNaWKFQSCzycEUQ3dzcPGEFQi6Xk5WVNWGlaTJ/5GNjY8PI08hMyKu3lZOTc83tTQSn08nFixexWCwihkgiPz09Pbzzzjs0NDSQkJBAVFQUjz/++KRsDI4dO0ZfXx/t7e3I5XKam5tZu3Yt2dnZY+qvrh5mUCqV1NfX43Q6RaRTVlYWarWagYEB5syZIyJd9u/fz8DAwJjH0tbWxpkzZ4SIWiaT4XQ6OXfuHIsWLaKuro6MjAyRQzlZ6HQ6cnJyMJvN6HQ64dV19XlIodZerxer1SqqfkqlkuzsbO6++26io6P/5PvY2trK2bNniYqKYvfu3Zw5c4YNGzYgl8sn7a7e0NDAyy+/zP/6X/8rjHjK5XKmTp2K1+udcBo2PT2dBQsW8Nvf/la85nA4OHjwILNnz6a2tnZU7E9ubm6Y6H8spKamCjNTCVqtVpDnyaCvr49/+qd/wuVykZyczLRp0ygqKiIjI0NEb/2/DmtEEMGfigjpiuAfGjabDafTidVqpbu7m0AgIPy6dDodDocDk8lEdHQ0drudnJwcXC4X1dXVtLS00N/fz5EjR4Q1QUxMDAsWLAjbx+DgIBcvXqSnp0dUq9LT08MWdJfLxaVLl2hvb0cmk5GWlkZubq7Q3MhkMlpaWkQOY2dnJ3V1dcLWoaSkRFQI/H6/qAgMDQ0RExNDfn6+qGJcCz6fD7fbLTRGAwMDYkGz2+3Cl2ru3Ll88sknk7YxmD17Nrt27eJrX/saOp1OtF4lzc3VcDgcQtcEVyqU06ZNE3ooSRMlTQ1KYvQLFy6wffv2cVuDUmVMIjrSOUtaPqlN+VVMWUdueyQk/ZZE7ifTriwpKQnbjpQ8ILnlX0tML93//v5+7rrrLj7++GOCwaD44DA0NERDQwMOh4P8/HzMZrPwqZKuh0KhGLPKK1l79Pb2kpKSInSL0vekAHmLxcItt9zCli1bxD0cHh7m5MmT9PX1cfr06TBSLJPJWLJkCd3d3Xi9XlJSUoT43Ww243Q60ev1tLW1ceDAAYqKioTLflJSEosXL+azzz6joKAgLOJrLMTGxvLUU0/R1NQk7EN2795NKBRCqVSyYMEC0e6NIIK/NiKkK4J/aGg0Gnp6esSUkkwmExEtUmxOVFQUWq0Wm80msv0UCgUGgwGZTIbFYhFVqKs//Q8NDfH5558LG4COjg4uXbrEihUrhEu33W7ns88+w2aziU/yhw4doqWlhaVLlwriJbVRhoeHaWtrw2w2EwgEaGtrE62oQCAgDEilSa2amhpqampYuXLlhIHIEnp7e0lPT2dgYAC/3x/W1pLaXk6nk7fffpsZM2ZMisgplUri4+P55je/iVqtRiaTCfG41Hq9Gv39/VRWVpKdnS1ISHR09ChLiZFfNzc3i6nE8ZCVlUVvby8vv/wys2fPpquri3fffZdvfetb9Pb2cuHCBdEyvlb+ogSFQkF2drbQ72VkZGAymUROp8PhYNOmTXzta18TthLSs5OWlhbmMfXpp58ik8m4+eabkcvlBAIBXnzxRdLT08fUK12N9PR00tPTmTZtGsnJyVRUVAjC1dPTw1NPPcXHH3+MTCbj3XffZc6cOWzatAmFQsEDDzyASqUiNTUVs9nM5s2bKS8vF9WuqKgoMZCiUqm4ePEix48fR6fTodfrSUxMxOVyMW/ePEpKSigqKuLw4cPi2Orq6qipqeHkyZNhlam4uDgWLlxIe3s7p06doqysDJvNRkJCAg0NDZw+fZpFixYJp/qRdh4ej4fo6Ghef/11Dh06RG5ubhhh1Ol0PPLII6J9r1KpKCwsJCsri9zcXPLz8zl69Cj79++ntraWxMTESd3zCCL4SyBCuiL4h4bJZBITVZKb9Vh6K7iy4MvlcvR6PXFxcTQ2NlJXV0deXt4o8e1IQXdRURELFixAqVQyMDDARx99JHL0VCoVlZWV9PT0sGbNGhITEwmFQlRXV7N7924yMjKYNm2aOCaHw0F/fz8333yzWHj8fr/ITOzo6ODEiRPMnj2bsrIy5HI5/f39bN26lZMnT7Jy5cprej3l5uZy/Phx0tLSiI6OFg7gcKUidPHiRYqLi3nyySdFpWoykCpL0mLb1NQEXPFlmjZtGiaTKSxf0ePx8M477zBjxgymTJkybjA2XCGblZWV/OpXvxrTXHUkYmJieOqpp3jllVfYvn07JpOJ2267jaVLl3L06FEcDgf19fVUVFRM6rzgin/Uo48+Ksjhgw8+KI7zpz/9qfi5ka1GaaJQuk8SqqqqwuwQlEolnZ2dIv/wWtc7EAhw3XXXERcXJ4YGJP+pN998k1OnTvHUU0/xm9/8RthiaDQatm7dyu233050dDS9vb00NDRw4MABPvzwQ0G6Fi9ezP33309vby8xMTFotVoSEhIAxPCH9DwqlUpWr17N0aNHxT13OBwcOHCA2trasGMuLS0lJycHm82GVqtlcHAQr9crUiTcbjdRUVHY7XY6OjrCCNvAwAAHDhwgJiaGUChEfX192LaNRmOY473NZuOFF16g82iY7QAAIABJREFUsrISn8+HTqejsLCQ73znO6IKHUEE/1mIkK4I/qExMnR5rMXsWguc9P6rf05a9LVaLYWFhaKyYTQaiYmJwW63i3DqhoYGUlJSiI2NFYtJcnIyGo2G5uZmCgsLwxbg/Pz8sBaKtCBKPloKhUIEEQeDQUwmE0lJSTQ2NuLxeK5Jutra2igoKCAlJQWfz0dcXJxoO5nNZuEP5na7yc/Pp6Ki4ppi/dbWVjZu3BjWUm1tbWX9+vXIZDIKCwspKSnh0KFDYe87deoUjz/+OA8++CBlZWVER0eLNmIwGMRmswmn9B07dghBvk6nIz09nfr6+lFeSzKZjOLiYv7jP/5DGGhKZCgnJwe73U5WVtakzFFHblO6D1JYt8/nY+rUqXR2duJ0OkXV1OVyCfG21KJramoiMTGR7OxsVCqV0KxJ7TqXy4Ver6exsXGUx9dISMa89fX13HTTTQwNDfHb3/6Wxx9/HL/fz/79+1m/fj1r1qzhrbfeEseelJREf3+/MB1NT09n48aNo7YvEbSRFbeoqCjxvI+sPMpkMhYuXEhGRgYNDQ3AFdK+c+fOsMEJjUbD8uXLMRgMlJSU0NfXR2JiIjabTXwAMZvN9Pb2YjQaMZlMYR5hGRkZvPfee5O+V263m/3792O321m8eDHXX389ubm5pKamotPpvpKOL4II/tyIPH0R/JeDZKyo1+sZGhpCo9EQCASEqepXgeQ0PpLYSa0eQFhGDA4O8u6774r3BYNB4bwtLb5whXSZTKZxw4NtNhsul4tt27aFVU/sdrsQmU/m/Pfs2UNmZiYFBQW0t7eL6UylUklCQgKJiYlUVlZy/vx5zp07J8Tf40GKiCkpKRGvnT9/XgiizWYz9957L+fPnw/T+gSDQU6fPs0Pf/hDUlJSRFajdK69vb10dnaGeXJpNBrWrl3LkiVL+NGPfjQq8Njr9dLd3U16ejrBYFBYJ5SWlmK32xkYGKC/v1+0kb8KQqEQhw4d4ty5c8hkMk6cOEFTUxN+vx+r1YrT6RQCe8ngtrCwkM7OTnbu3Mn3vvc95s6dy//8n/8Tr9dLcnIyZ86cYWBggLy8vGvG0gwODrJr1y4uXLjA6dOnCQaDYeL0YDA4ygIlFAoxODiIRqMR5yvpuy5dukRLSwt6vZ5p06YJs9GrhwMkSKkK0rOXmJjIsmXLBIELBoOjKlGZmZmiBSoNuADiPkuarvj4eJxOJ9OnTw8jRl912jAhIYHNmzdTW1vLiRMneP/994UHXlZWFitWrOCmm276StuMIII/FyKkK4L/cpDJZDQ0NKBWq2lqasJqtTI0NERWVtaYTt3X2tZkqmVxcXFhLTQJUktzstuTHPenTp06qqKlVquF0elESE9Px+l0iv16PB4hAO/t7WXbtm3k5eXxve99j5iYGI4fP87g4OCEpCspKYn09HR8Ph9qtRqFQsGMGTPE4imXy1m4cCHf+ta3+M1vfhMmoIcrRKm+vn7Ugn01DAYDa9eu5Xvf+x7Dw8OkpaWNIl2NjY28/PLLvPjii2zbto2NGzei0Wh4+OGHKS8vx2AwcPHiRWbOnDlpTddInDp1ira2NuLi4jCZTFitVhITE7FarezZs4eUlBSsVisxMTG0tbVRX19PV1cX7e3tuN1uZs2axfe//30+/PBD9u/fT3p6Oj//+c9xu93XnNCzWCx861vfEtmikoGvTCZDqVRSUVHB9u3bKSwsZHh4GLfbTVVVFe+//z7FxcWCBEuh0J988omIKzIYDPz4xz8W2sPExETsdjt6vZ6uri4Rd6RUKpk6darQt91444387ne/G+XJBVee1/nz54+ro5La/lLrv6Ghga6uLmQyWZjWMBQK4fF4aG1tpa+vj6ysLBISEkTig6QjhCuEMikpCavVypQpU5g1axZnz57l1KlTfPLJJ3R0dERIVwT/aYiQrgj+y0EKMQ4GgyI+RfKBGgmplSL9+1P8fbRarXDSnjlz5v9TwK4kTpeCiOPi4v6k7TQ1NVFTU0N8fDxTp04lOjpaGJnGxsby8MMPC7IUCoVEJWWiKprUftuyZQsLFy4kKSmJyspKHA4HJSUlpKeno9PpWL9+PTqdjjfeeIP29vZJ2wAoFArS0tK49957ue222zCbzXi9XvLy8jh16lTYz9psNpRKJT6fj61bt/KTn/yEnp4eTp48KaY8Fy1aNCmCOhYyMjJITU1lzpw5BAIBtm/fHlYZkixIZDIZDoeDtrY2Vq9eTV1dHXBF6L1s2TKWLFlCIBBAqVQik8k4evTopCZQ4+PjaW5uZsuWLeLrJUuWoFAouOeee3jiiSd48MEHaW5u5l/+5V9ERW39+vWCZDY3N7N//37+9V//lczMTIaGhvi///f/8v777zNt2jSRzelwODCbzbjdbhEM39nZic/no6ysDJlMRn5+PuXl5ezatWvUsVosFq677jqCwSBer1c4yEv/vVozGB8fj9frDTNQlSYqf/WrX3HgwAH6+/t57rnnuPPOO9mzZw9nz57l0UcfFQMpNpuNX/3qV5w9e1aQxpiYGHJycrj11lvDqrERRPDXRoR0RfBfDuNZGFwNaUHo7u4WsUDApEKJR24jNzeXY8eOUV1dTXZ2NgqFguHhYex2O2az+Sst/tnZ2eJT+6xZs9DpdASDQTweD6FQSIQdS6apI9tyJpOJgYEBLl++jEajITY2FrlcjtPpxGazYbFYUCgUBINBoTGSyWSCKPr9fqKiosL0XZL1hrRA9vX10dXVhcFgoLW1la6uLqKiooR42WQycd999zFz5kw++ugjjhw5QmdnJ16vV1QtpPaVSqVCp9ORmprK3LlzueWWWygoKBCEUK1WU1JSwv79+wUhlNIApIEGpVJJWVkZu3fvJhAI0NPTQ2VlJf39/SxatEhUWEwmk5i2lDCW5ksmk1FUVMQHH3xAVVUVc+fOJTExUWj6CgsLmTJlCnq9HoPBgNlsxuVyceHCBWbNmiVaafv376epqUmEsKtUKsrKykRFSLo/kuM7XDHRVSqVtLW1cfDgQTo7OyksLKSyspLFixeL9tnLL7/Mzp07OXv2LMPDw+Tn53PDDTeQnp4u7pPT6RT6PY1Gg1qtJj8/n23btqHT6cKqbjKZjMTERNxut/C5G/lBRKfTcfPNN3PgwIFRxqxZWVkMDg6yb98+nE4nbrcbg8EgqlM33nhj2O/TyPajBI/Hwy9/+UsuXLjAgw8+yObNm0ULV6VSsWXLFu644w6SkpJwuVwMDQ1hsVi46aabhNmvFB/k9XrFhHJE2xXBfwYiT10EEYwDycDy7NmzdHR0iEy4q326JoK0SNvtdr744gtOnz6NSqUSvlHLli2bNOmS2pTz58/n6NGjtLW1odPpRKzPtGnThBB95syZbN68OYxESJOZkq5HpVIJDVBCQoJYkH0+Hzt27GDVqlUMDAwgl8vFtJoUEyMR0lOnTlFRUSGImeTtBX80E7160lCtVlNWVkZRUZHwI2tqahJCb8muIy4ujszMTNLS0kRVr6WlBYVCIX5uxowZ/Pf//t+Ry+UkJCQQFxeH0WgkLy+PvXv3sn79evR6PW63W0ygOp1O+vr6wvRcDz30EGvXrg07Tp1ON2Yu49DQEHl5eWi1WqKiorBarcL77fbbb7+mQP93v/sdmzdvFlXL1NRUurq6KCsrw+v1cvbsWaxWK08++aSwNfF4PFitVpKTk+nq6iI7O5u4uDji4+Pp7u4GruittmzZgl6v57rrruPmm2/GaDSGtd4kJCUl4fF4ePPNNykuLmZwcJA//OEPLFiwQGRUJiQkYLPZ0Gg06PV6BgYGUKvVYd5y0nNVWFhITExMWL6mSqVi8eLFGI1GkXAgPfcpKSl4PB5cLlfY8zGS6Eno6OigsrKSp556iiVLloiKmkwmE5UxKaT+5MmTzJ8/n+LiYurq6rDb7bS2ttLR0UFhYSFVVVWYzWZmzpxJUVHRhPcpggj+EoiQrggiGAcKhYLS0lJSUlKw2+0oFApBTqSFY+QiBH909JYy/6QKzoIFC8jJyRGtGZ1OR3x8vBjHhyteRuXl5RMu2gqFgsLCQhISEmhpacHlcqFQKNDr9WHVO4PBMGZ0USAQoLq6Gp1OR39/v3DnH7nwSVodm83G6dOn8fl8xMTE4PF40Gg0VFZWEh8fj8ViEToyj8fDuXPn8Pl8TJ8+XXgrSVWcqyGTydBoNGRkZEw6c9DtdlNdXS0MQFNTU0lOTsZkMuH1eklISBDVqh/96EcMDQ0RFRUlPLGk4zAYDERHR4cNTcTFxYW1a4PBIBcuXEAulxMbG8vhw4c5c+YMixcvJj8/n+zsbBGmLpfLMZvNgtReC9XV1dx+++2UlJSwfft2vvOd7/DMM88IgisNVkjxT3CFUFksFhEFFRMTQ1JSEseOHeP6668XU5CnT5/m+PHjDA0NERsbS3p6Ojk5OeTl5ZGTk0NqaioKhYLY2Fi++93v8tZbb7Fz5060Wi0LFy7ka1/7Gh6Ph+bmZkwmE6FQiO7ubjIzM2lvb8flcoloIKkdL9k4XK3pSkpKYtmyZaSmpnLixAlR2R0eHhZVL8mnraurC4fDIapp0nl7vV5xT0d+MJD2K02JKhQKYmJi0Gg0dHR0iOD54eFhamtrMRqNIlaquLhYENUIIvhrI0K6IohgDASDQRFlsmDBAgYHB0W7ThL69vf3hznFBwIBnE4nubm5ohUp5djdeeedZGZmCj+ssRAfHz8pc8xQKEQgEKCkpERUa06ePMm//du/8dRTT00oePf5fDQ1NeHz+UhOTiYqKkoEOEsYHBykp6cHu90uXMgTEhI4cuQIc+fOpa2tjezsbJxOJ0qlErVajd/vp7GxURhppqWlcejQIa6//vpxpzFHno/f78fpdOLxeIRjvOSartVqMRgMKJVKcnJy6O7uFhFFdrtdkJG+vj7sdjuBQEAIzP1+P/Hx8WFEdjIVjkAgwMaNG1m3bh2Dg4P8+te/Jj4+nurqap599lmxPbPZPKlhipGQWsJGo5H29nZ6e3sZGhpCr9cLUXkoFBKh5x6PR7Ske3p6MBqN9Pf3097eLrzbJHL74x//GLvdTnd3N7W1tZw9e5bPP/+cV199lYSEBN5++21iY2Pp6Ojgyy+/FNmRaWlppKenYzAYsNvtHDt2TMREdXR08P+xd+bRcdb3uf/Mvo9GmtG+y5I3WZIXYcl2vO82W8AsZgkhkLRAA+EGuGkhTdMeaHu4lObckKUklJTNCQ7EgF1jbGxjjI33RTKW5JEla5+RRjPSaPbl/uHz/q7GkmyTkpSk7+ccDmZmNMs7r3kffZfniUajtLS0YDQaxX05OTmoVCrC4TDbt28nGAymfM65c+dSUlKC0WikoqJCVLW6urpEa9tqteJwOPD7/ZhMJlQqFXq9nkAgIKw+jEYjFouFvXv3UlxcLH5BGB4eZseOHdjtdvF3U1roKCsro7W1lYqKCoqLi+ns7KSiogKHw0FOTs7nCoiXkfkikUWXjMwExONxHA4HoVCIQ4cOUVJSwtDQENOnTycYDIo1dImenh4OHz7M+vXrhRCLRCIMDw//XpEzE+FyufjJT37C448/Lqpb4XCY/v7+Kw6mG41GNmzYIARNPB6noqIiZYvPaDRy8803YzabycvLQ6G4GBacl5cn2n7SDFMoFBK+SrfddhsDAwPMmzePSZMmodfr6evro7CwcNxFhGQySX9/PwcPHuTgwYO0trbS398v5om0Wi1Wq5XMzEyKioqora1l/vz5tLS0iONqNBrFfE4oFCI9PR2/34/D4aC3txej0UhWVpYwV92/fz8A8+bNo6qqiu7ubiEeVSoVoVAIk8lEYWGhqMzs2bOHyspK7rvvPn7wgx/g8/mE6Dpx4gQ7duxImb0aD7vdzh133EFaWhoLFy7E7XaTnZ2NzWbj0UcfFVW/0dYP/f39uFwu4WwfDoeJx+MUFBTgcrlIJpOkp6enpBBIvxScOXOGxsZGOjo6GBoaIj8/n7lz54rv2WQyUVBQQFdXF7t378bj8QCwfPlyli9fLtqPiUSC3t5e0tPTRSs6IyODjo4OMdfV1taW4koPFw1Lly5dKqphBQUFwMUKZ0lJyZgWZWVl5bheYNKxuPPOO/nXf/1XDhw4IKqdu3bt4syZM3zve9/DbreTmZmZUjUdXemVwrNlY1SZ/25k0SUjMw5KpZKMjAyMRiM+n0+0w1QqFT6fj6ysLFFxUqlUNDU1sXv3bi5cuEAgECA9PZ1ly5YBF2eA9uzZQ39/P3l5ecybNw+NRkNbWxvHjx8nFAqRk5NDXV0dOp2Ow4cPi4HpcDhMbW2tMEM9fvw4r732Gjt37iQajWK32/n6178OXBw4fuutt8Sc0IYNG8jIyGB4eJgtW7bQ3NxMXl4eX/3qVzEajfz6178Wg885OTk0Nzdzyy23iHghlUolKg8ulwu9Xs/Zs2fJycnBYDCIAHFpnV+n0zFr1izee+89EVo8Z86ccUOY4/E4R44c4YUXXuDo0aNjZnsuRaFQ0N3dzeLFi8Vxlapho4Wm1J5Tq9W4XC4hSpuamvibv/kbEcK8detWnn76aZGZKG3Uud1ucfHOyMjgrbfe4uTJkzz22GOo1WrhUyXx2Wef8ctf/vKK/miTJk3iuuuuIy0tjTlz5oj3+Oijj3L27Fny8/NTLBKUSiWVlZUiTeFS77fc3Fx6e3vxeDxcuHCB+fPnE41GeeKJJzh06BCVlZXMnj2bDRs2UFFRQXZ2NiaTSQytGwwGpk6dSjweF4IrEAiILM+bbrpJHOPS0lL0er0IH4/H46LKmkwm+fDDD+nr60v5vBUVFWK7UXqevr4+bDabmEN0uVwpxrzSY0OhEIODg2RlZYlzcMOGDdjtdt566y0xa5aZmckzzzzDwoUL8Xq9KRVnnU5HNBoVW5JKpVKcy7/PFrKMzBeFLLpkZCYgKyuLUChEMpkkMzNTVCOSySQGg4FZs2aJdf+MjAwyMzOFuaPZbBYXk/b2dqZMmUJpaSnbt28nLS2NmpoaRkZGcDgcaLVa4dT+la98haNHjxIIBFi4cCG9vb1s3ryZhx56CLPZjMPhoKKiguPHj7N48WLS09PFIL7T6aSvr49Zs2bxyiuvoNFouPvuu/nZz35Ge3s7K1eu5OOPP+a5557j29/+Nq+//jorV65k586d1NTUMDQ0xI4dO4TPVElJCR988AFz5swRdgutra00NDRQUVFBY2MjBQUFQvzU1dWJioUUYBwOh/F4PCkVhmQySUNDAz/84Q85c+bMVVUBpWHtS1uhE5FMJsnJyRFVk8bGRlpaWoRAczqdNDU1ceutt4oqnHSftDl511138frrr3P99ddTXV1NZ2cnVVVVKa1KyWT0akxpJTo7O9FoNMJLav78+WMeI22gjocUFWUymcjOzhb2ClIm5IULFwgGg7S0tKDVaoVlibSlCBf9sL75zW9SWFjIwoULWb9+PRUVFZjNZlQqlbC7GO3lplAoCAaD2Gy2lKzHd999N+U71Gg0LFu2LGVGLhKJ8MILL7Bx40YqKysJh8P87ne/48477xyzSdza2sqmTZt44oknhK+YXq9nzZo1LF68mHA4TDKZRKfTYTAYOH/+PIcOHaKwsFC8V41GI3ItBwcHSUtLIzMzk6qqKll0yfy3IosuGZkJkIbJo9EoSqUyxT1e2uhLJBLCHDM/Px+v18u0adNS2nU5OTksXboUo9FIa2srHR0dzJw5kylTpuDxeAgEAtjtdtEygotZdfPmzWNgYIAzZ84wPDyMxWKhqKiIqqoqdu/ezfz581MEQG5uLl/72tcoLCykq6uL5uZm3G4327dv5+677yYvL4/q6mp++ctfCluHtWvX0tfXR21tLYFAgN7eXqxWK/PmzaOlpQWXy8Xw8DB2u12EeqvVatrb2xkeHkan0+HxeJg9ezZarZbf/va3nDhxgmQyydDQEPPnzxfVJKmlNDIywq9+9asUwSXNa82ZM4eCggL0ej2hUIj+/n4uXLhAf38/8+bNu+oL5ug5K2lmbLQwkGKGLmf/UVNTQ3l5OYlEQiwT3HvvvULkDg4OMnfuXJ5//nl8Ph9erxev18vg4CCtra0cPnx43Hbvm2++SUFBwZhtSbiYLHD69GkWLFgw4ftKT0/n9ttvF6HU0mdVq9V873vf46GHHhJebI2NjTz//PP09/dTWVnJs88+i81mo6CggKeffhqn00lrayuvv/46Wq2WJUuWiHihU6dO4XK5RMXIaDSi1+tZsmQJer2eZDLJO++8Q1NTU8r7KygoYNWqVaLle/78eeLxOD6fT5wLLS0tXHPNNeKckBIIOjs7cbvd41Y+pTb3pcsKmZmZ1NXViRkwlUpFIBDAYDCI716n033u2TsZmT8EsuiSkZkAKcpFml2RBrRH/8/7amJkrFar2JyT2jOhUIgtW7bg9XrJzMzE5XKJ39TVarUY0FapVKJldiUyMjIwmUzCdFJyJPf5fOzevZvjx4+TTCaZP38+er1eBBhLw+qSeWV9fT1ms5mioiKWLFlCSUkJBQUFhMPhlMgZt9tNRkYGZWVl2Gw2FAoFPp+P5cuX4/P5ADhz5gwmkynl/Z87d479+/eLi6pKpeKWW27hoYceIjs7W1RaJGEUj8cZGRnBYrEQjUbZvXs3WVlZzJw5Uyw1XGkBoby8HIfDIdzrc3JyLptxKNkvvP322ym3OxwO/uZv/gaHw8Gnn37KqVOnmDFjBgsXLhTvIZFIsG/fPk6ePJkSxCyh1+snPG9CoRA7d+7k/Pnz1NfX09TURDAYZPbs2Rw7dgyz2UxlZSWHDx9GpVKxevXqlO1ZKTC6q6uLtrY2zp8/TyAQEMdwdDXPYrGIIHUpckk6B7VaLdOnT6ekpERUAaXqlnQunz59mpdfflmkGUjf5erVqykrKyMWi/HGG29w9OhRHA4Hn332mTi2Z8+e5c033+SnP/0pmZmZDA4O8vTTT4ut2tGVQ2mpxeFwCF+19vZ2du7cid1uZ9myZcKDS6pwSW1EqQUqzdzFYrH/kkGxjMx/FVl0ychMwOi1+EuDfoExv4mr1Wqxpj76vvF+u3a73TQ1NXH//fdjt9t54403Lvv40Wg0GmKx2JjqzXg/l56eTmFhIRs2bGD16tUkk0nC4bBoF41Hbm4uarU6ZZtyYGCAlpYWMjIySEtLo6enh87OToxGIyUlJaJFtGjRIqxWK2+//TYul4vq6mqys7NFdUJq9Y0ORC4tLeVb3/oWBQUFbN++neHhYWpra2lsbGRoaIjc3FwhGqSW3NDQEKFQiE8++YSKigrcbjcHDx7EaDQyd+5c9u3bRyAQ4Bvf+AY6nY6ZM2fy1FNPsXXrVlQqFTfddBM1NTUTtjZjsRjvvfce1113HZWVleJYaTQaUV2Usib37NnD008/zeTJk7nxxhspLi4WFajxqK+v5z/+4z8wGAwpQ/AVFRUoFBdDsktKSjhy5AinTp2ioKCA7u5uYT1y4sQJTp8+LdrZkuiKRCI8/vjjNDQ0YLVamTp1KosXL2bq1KkUFhamfA89PT288sorlJWVsXz5cmG/IbXz1Go1drtdiJzRSN/h3/3d39HZ2Zly36RJk9iwYYPYJj1w4ACPPvooDoeDtrY24OKixqpVq9i2bZs4/g0NDcRiMZ588kkOHDjAW2+9JZ7T4/HwxBNPcNddd7FhwwYGBgZ48MEHRWTUV7/6VZYuXUpHRwcWi4W0tDQikQh6vR61Wk1mZia9vb24XC6WLVs2YSSRjMwfA1l0ychchtEXzksvopf+d1FREXv37uXll18mNzeXNWvWpIQDA6JSZrPZsNlsbNmyBYPBgNvtFttWl7ZBpMqPRElJCQaDgccee4yysjL+8i//UvxWP/p1VCoVZrOZhx9+mBdeeIFt27aRSCSYNm0at912m3he6d9S2xQuXlgjkQhKpVKISSnUWbJokGaJjEajqB5Izt8PPfQQcHHQfHTAtWQtMXrbr6amRsxfDQwMsHTpUnQ6HQMDA9TU1PDJJ58QDAbFPJHkuSS57o+MjBCNRpk8eTJtbW10d3fj8XiYMWMGOp2OeDzOyZMnycnJ4S/+4i9QqVSkpaXR2dmJy+XC4XAQjUbxer0kEglMJhNVVVUsXryY3/72t5w+fVp8PpvNxt13343NZqOxsZGdO3eSTCbZsGEDaWlpvPnmmzz22GOXPaeam5txOp38y7/8S8pg9zPPPENJSQllZWVYrVbsdruwGLFarWi1Wnw+H3a7XQzGRyIRMaCuVqt57LHHRBXTaDQKy49wOMyZM2coLCxEq9WSnp7Od77zHZRKJVqtlrS0NGGAG4vFOH/+vLBrkD57KBSir6+Pjz/+mM2bN3PhwoWUz2UymbjnnnsoKytDoVAI53er1YrRaBSCbrw2XzAYFGa0kv+bhMfjwe12i7nArVu30t3dzRtvvEFrayv/8i//ws0338z06dPR6XQolUouXLiA3W5Ho9FgMpnIyckhHo+PKyJlZP6YyKJLRuYLIicnh/vvv5/+/n60Wq2IVhltcrl48WIUCgUWi4V7770Xl8uFTqfDYrEQj8fRarXccMMNYm7IYrFw5513pkTvZGZm8vzzz9PW1oZOpyMtLY3KykqeeuopUXFav349wWAQtVrNkiVLmDp1Kh0dHWg0GoqKirBYLDz11FPk5+fzjW98Q7x+OBxGpVIRi8V49dVXKS8vZ9GiRWRnZ5ORkSEqOBO56O/cuZN169YJi4CpU6emVJPi8TgDAwMpP1NQUCBm4IqKijCbzZhMJrKysvjss89YtmwZp0+fFosEjY2NhEIhenp6aGtrQ61WM3nyZCwWC4lEQrT0urq6xFB1PB4XlhCSEAsGg1gsFjFsnZ6ezunTpyksLCQWi7Fnzx6Ki4vFBiFcFBaSCFGpVKKyJbVBr6Z1tWHDBm688cYxt0vbscuWLcPtdtPf30+8DweaAAAgAElEQVRVVRXhcJiOjg70ej0HDx4kKytLeMGdOHGCoaEhVq5cid1up6qqSmzLDg4OkkwmKSoqoqCggGAwyN69e9Hr9UyfPp0LFy6QnZ1Nf38/n332GXPnzkWj0eD3+/nbv/1bnE4nRqMxxajU4/GMCSuXjsW1117LjTfeKMS/9H199NFH5OXliUpXJBJhYGCAYDDIwMAAVqtVBJcfOnSII0eOMDw8LJ47FouJ6K5AIMDmzZu59tprmTlzpjBw1el04pyDixVeeYZL5suILLpkZL4gpC1GyQ5Bcksf7Xw+WjxZrVYhdiQkbzCFQkE0GgUQJpSjX+dSB3WdTpeyBTba6R4utgwvtW6QYnHGc4R3u92cPHlSvMbltulGk5GRwWuvvUZ5eTlKpZKFCxeOcXq/NJ/PYDCICtuiRYvE7evWrRN/Hj1/NWPGDPHnu+++O+W5Jk+ezOnTp/F4PFgsFjFsXl9fLz7HeH5Q0sVZyq5UKpWUlpZiMBiw2+3i+I9eBpCOWzAY5OzZswBcc801VzxGkgi8tD2sVqvFf1ssFmbNmiUEsNQuk6wmpPml4eFhnE7nmGpqQUEBc+bMEfNNUlVQmpWS2m5wUQT19PSknKeS39fVoFKpWLJkCY888ggmk0nYahgMBu6++25eeeUVWlpaWL16NVarlZaWFn7+85+j0+l48803WbNmDTNnzuT666/nnXfeobS0lIULFwqxJwk/qULodDr5wQ9+IP6OSLYQoxl9PGRkvkzIoktG5gsmEonQ2tqK2WwmKyuLSZMm0dHRQU9PD8XFxTgcDpxOJ+FwGK1WK9owPp8PtVqN2WwWQ+SxWAyj0SjW7DUazZiZLsnodKILjbTBJYk4SYhc+vhkMinEQGtrKwMDA4TDYfx+f0rOnhQTNB4zZsxIEX/jPe7SOaov+gJZVVU1xnV+ojbxpRdraYZNCvc+efJkiqix2+1YrVbeeOONlAH2rq4uNmzYcFXv79y5czz33HM4nU4ikQgKhQKz2cz3v/990dJLS0tLqdxMRFpaGjk5OSnhzRqNhunTp485rhNV4RKJhBD6nxdpPuu73/0u+fn5RCIRjh49islkIi0tDbfbzcaNG+nu7mbmzJl4vV76+/tZtWoVyWSSa665ho6ODo4dO0ZRURFpaWnMnDkzxTE+JyeHefPm8f3vf59oNMrKlSuZMWMGyWSSjo4O1Gp1imCUkfkyI4suGZk/AG63G4VCwa5du4jH4+zbt4/S0lI2b97MLbfcwltvvcWqVaswm81YrVZRwZC8rYaGhigoKCCRSAh38p///OfMmTOHmpoa9u7dS0tLizCzrK2tpa6uDqPRmHLxjEQinDlzhoMHD9LR0UEikSA7O5s5c+Ywe/bslMf7fD62b9/O+fPnaW9vJxwO8/7776e4jRcUFHDfffdNmA85bdo0UZWSWm6BQEAIy4GBgTHtqZGRkTEtx9FI25gej0es/kvPJ8XQSEHXV5sAIEXQjBYro1Gr1Xz7299OuS2RSNDV1QXA2rVrU4RdU1PThM91KVu3bsVsNvPNb36TQ4cOsWzZMt5++22ys7M5e/Ysvb29ojI3+vPodDrhUxYOhzl37hzNzc1Eo1FycnKorKwkIyNDtNWkpQmn00lLSwvhcJiMjAymTp0qliWkY3Hp8TabzRiNRqLRKPF4PGXrUcrbnDp1KjfccANr164VQtvn89HU1IRSqaS2tlYI/RMnTjBp0iTOnz9PQ0ODcIhvbGykr68Pl8tFeXk5cDFxYbTo0uv1fPe736W6upp4PM6CBQuIRqOiXXzrrbdisVjELy0ajUbMiF1NdVZG5o+JLLpkZP4AlJSUUFtbi9Pp5MKFC3R1dZGeno7D4SAWi5Gens7s2bPFhU+avRnNaPHU1dVFZ2cn4XCYw4cPMzIyImJ5nE4nDQ0NDA0NsX79elHRiEajfPDBB/zud79Do9FQVlaGUqmks7NTVHBuvvlmLBYLoVCI06dPi1zDcDjMwMAAubm5lJaWihBkr9dLc3OzECwZGRljsh4DgQB79uyhs7OTgYEB+vv76e/vF9mIl4YNv/baa2zbtm3CY6lWq/nmN7+JyWTCZDKJIf+hoSEKCwvp6OigtrYWs9nM6dOnefLJJ68Yy+NwOPiHf/gHKioqxr1/vKpPKBTijTfeYOPGjSxYsIBwOEx7ezuBQGDc728i/H4/9fX1VFZW0tjYyLJly/j44485f/48c+bMwe12i+/wyJEj/NM//ROBQID6+nq+973vkUwmefXVV3n99dfp6ekhHo+LduQjjzzCzJkzUSgUDA4O8qtf/Yrf/va39PX1EYvFMBgMlJaW8o1vfINrr702xU9Owmw289RTT9HS0kJfXx9er1fMyZlMJnJzc5k8eXKKVchoMjMzRZ6ixWLBbrezatUqESM0a9YssrKy6O3tpaCgQOSA5ubmolQqxxX0mZmZ3HHHHXR0dPDRRx9RXFyMwWDA7/eTm5vLu+++y8DAAJmZmWJJQtrevBpbFxmZPxay6JKR+QMgOdUrFArS0tIoKipi1qxZYptK2mKUuNrWjtPppK6ujm9961vY7XYSiQQNDQ384he/YN++fSxYsEDM6jQ1NfG73/0Ou93OfffdR0FBgQjq/u1vf8uHH35ITk4Oq1atEoHTq1evZvLkyezYsYOzZ89yzTXXcN111+Hz+URVJR6PMzw8LLyzLsXj8fD888/T3Nx8VZ9JEmUTIQ1319TUkJ2dPSb2Z8qUKcIKIRAIcO7cOVFhmYjh4eExs2VwscrywQcfjFspCwaDHDt2TGx+bt++nebmZlGVGR3jczkKCgrweDzYbDY6Ozt57bXXaGpqoqqqipGREbxeL0ajEZvNht/vx+l04vf7UalUDA4OsmPHDn784x+nVAx9Ph979uzB6/Xy/PPPk52dzYsvvshLL72U4hU2MjJCQ0MDzzzzDGazmZUrV46pdKlUqpSK5efB4XCIWbzR57QkSMd7zsmTJ495/ES43W5sNhvTpk3j4MGDFBcX09jYiFKpxOFwkEgkaGxsFMaoX2TmqYzMF4EsumRkvmAsFgvV1dWoVCpqamooLCzEbDbT0tJCTk4OWVlZ1NbW/t4zNOvXryc/P1/cNn36dEpLS3E6nSKTLh6Pc+DAAYaHh7nrrrsoLy8Xr5ebm8u6detoaGjgk08+ob6+XrRkJnpPaWlpXHPNNaJtlUwmhev3eEhtqPGIxWIpwknK15sIrVaLTqcTlbrLYTabqaioYGhoSMyxRaNRIpHIuCLrUlpaWvjlL39JdXX1mPsikQgej4dEIsHIyAh9fX2sWLGCKVOmiBbo1bB27VqGhobIzMzkxhtv5J133mH+/PmsWbNGDNOP16r0eDzs27ePV199VbSVAbxer1jGaGhoYPPmzdTU1LBp0ybC4TBWqxWdTsfw8LAQYP39/fzqV7+ivr5+3MrShQsXeOedd1i2bBnTp08XtweDQd58803sdjtr1qxBqVQSCAT49NNPOXnyJIlEghkzZjBv3ryU2b5du3YRCoWora1l//79tLS0YLFYWLNmDcXFxezevZuOjg5uueUWYS0hfR//+Z//yXXXXUdpaSkVFRUMDg7idDqZNWsWp0+fZvbs2cLkFaC2tpbu7m5KS0vlKpfMlw5ZdMnIfMFYrVZx0ZacuXNzc8W229DQEGVlZcK+IJFIEI1GuXDhAvn5+WKbL5FIjPHocjgcY8wdpeF7yfIBLl4cOzs7MZvNwutJQqFQkJ2dTXZ2Nr29vQwODpKTk0N6evqEoubSqpw09yMhCRvJNuHBBx8UlgWjTWbD4TBvvvkmp06dEj8rZepNhFKpZPbs2eK9xWIxgsHguDmMNpuNBx54gOrqavx+P8PDw/j9fs6ePcu//du/MTQ0NOHrwEWBd9ttt/G1r31tzH0jIyM899xz+Hw+tm3bRktLizAvVSqV3HrrrSKY/HJkZ2djs9kYHh6mvr6e6upqdDodbrebs2fPYjKZUqp3El6vlxdffJHh4WEeeOABFi1aRDKZZPPmzbz11ltizm3btm0cOHCAkZER1q9fz0033YTdbufYsWP87Gc/E1uJp0+f5ty5c8yePXtcD7pf//rX9Pf38+STT4p2p9Pp5J/+6Z947LHHRBbjs88+y7Zt20SrdtOmTaxevZonnnhCCK9du3Zx4sQJSktLuXDhAkajEZfLxbRp0ygpKcHn8/Hss88ydepU5s2bB1zc5N28eTO/+93vWLNmDefOnSMWi5Gfn49SqSQej1NXV8fQ0BDhcJhoNCriierq6sZkOsrIfBmQRZeMzB8QyffK7/eLGBVpyDeZTNLd3U1TUxNarRan00lOTg4lJSUiSFmqokhIwcWXculFMxKJEAwGRcTPpfdLxqnRaFTMJHm9XvLz8yesdsViMSHqpAF/i8WCUqmko6ODkydPipij/Px87HY76enp4nPAReFy8ODBFNFVU1PDrbfeKi7i0WiUcDiM0WgkFAqhUCjo7++nt7dXiIdPP/2UtWvXUlJSQjQapbu7G61Wi9vtxul0Cn80qfWXk5PDK6+8ckXRVVlZSUVFxbgVPLVazY033ihikfr7+7FarahUKoLB4JjZtom4cOECP/3pT+no6BC3KRQK7rvvPtLT08nKykqxFpGIRCK0t7fzF3/xFzz44IMYDAYUCgUlJSWcPXtWHNO2tjba29tZtGgRTz75pHC9nzZtGl1dXfz7v/878XicoaEhmpqamD179pjXys7OZunSpezZs4dvfetb5OXlkUwm2bVrFzqdjkWLFqFQKNi3bx+vvfYa//iP/yg2Et99912efvpp5s2bx/r168VzHj16lIULF/Lkk09iMpkIBoOkpaWhVCqZP38+2dnZvPfee9TW1qLRaHC73ezatYvFixeTlZVFQ0MDfX196PV64ZcmbUiGw2HUajUVFRX09fWNsVCRkfmyIIsuGZk/IJID9qWzT5Kw6ejooLm5Gb1eT1ZWFjqdjmg0ytGjR6mrqxu3AnE1bUmVSiX8oMYbKh/tOK/RaISAGu1ddSlDQ0McO3YMv98vXMPr6uqAi229KVOmoFKpxCam5Kr+eejo6KChoYFz585xzTXXcObMGebMmUNLSwudnZ1s3LiRpqYmzpw5w9SpU8nMzGTz5s2iAmK32zl69CgWiwWv18sjjzwyoVWCx+PB6XRSVFQkHjNeoLKEWq1m+vTpGAwGVCoVW7du5brrriMjI4OPP/6Y3t5eUaW5HFu2bMHn8/H1r389pSVZVlbGwMAA586dw263j9uuzMzMZN26dUJwwUWbi+XLlwvRlUwmMRgM3HTTTSkxQzqdjnnz5vHGG28wMjICQGtrq6hGjkaj0bBq1SrefvttDh8+zPXXX4/X62XHjh0sXLhQZDRu374ds9lMTk6OMD/NzMwU5/DatWtFhdLhcHDbbbeJ9zS6rZmZmcm1117L5s2buf/++yktLeX48eN0d3fz13/911itVq655hr6+vpwOBziORUKBZMmTUoJ/ZYG8mVkvozIoktG5g+I9D//iS4CkyZNEhd5SZjF43GcTqcYfP99MBqNIu+uv7+fvLy8lOfy+/243W6sVis2m020ay4VXKNnr4xGIxUVFSLaRTLBBMaYtQKXFXATYbPZ6O3tRaFQcO7cOeFXFggExEB5dXU1IyMjrFy5ku7ubvr6+njooYcwm82cOHGC6upq7rjjDv7+7/+ekZGRFPuB0fT396NUKoWAuBLS9uK1117LhQsXeO+992hpacFoNBIIBLjnnnuu6nkCgQBLly5l+fLlKd/J0NAQu3btwuFwjBuUDReH8CU/LEDMzVVXV6ccb4fDQVVV1ZjzR2pfS6Krr69v3O9IoVBQWVkplipWrVrF6dOnaW1t5eGHHxav29nZSXt7O9/5znfEa0ltcbVaLYKy4eL5LVlaXIpKpWLNmjW8/vrr7N69m9zcXN5//31KSkqoqalBqVSi0+nEd3W5vxfyHJfMlxlZdMnI/JGRWozSQLo0o5JMJonFYvT19VFTUwNcvBD/PhcRtVpNbW0tR48eZc+ePVRUVAhxF41GOXToEP39/SxduhSbzUY8Hk/JvJP8u/r6+sRFVKfTjWtr4XK5OHToEKtWrRozPP95RWNGRgYul4uamhqOHTvGjBkzePfdd7n99ttpa2sTVbRIJEIkEhGO7YFAAK1WSzKZJC0tDbVaLebiJiIYDOL1elNERyAQwOPxkJeXR3t7O8FgUNw3MjLC8ePHWbVqFTNnzuTWW2+lqqpKeFpdrr0Yi8XE82VnZ7N7924KCwtTREhOTg4zZ84kFotN6IOWn59PT08Pzc3NZGVlUVdXh0qlIj09HYPBQCAQAC5uUo4nNg0GQ0olb3TczqWkpaWxevVqXnzxRdra2tixYwf5+fliBkw61lOmTOGnP/3pmJZsenr6mCSFic4HhUJBWVkZCxYsYNu2bcycOZNPPvmEO+64g4GBAVpbW0lLSxOVY6/XKzI4u7u7GR4eFt/BpEmTrtozTUbmj418ZsrI/DcgWRpIES+jK2FSoHQ8Hhdi7POiUCiYM2cOCxYsYP/+/YTDYebMmYNGo6GpqYkDBw5QWFjIqlWrRHtRGsSX5oRsNhsHDhwQlhfRaFSIuWAwiNPpxGw2o1QqOX78OA6Hg/z8fPLz83G5XHR2dlJWVva5QoZVKhWlpaUUFxfj8XgoLy8nEonw/vvvY7PZMJlM2O12lEolr732Ghs2bKC+vp6XX36ZvLw8Zs6cSU5ODkqlkuLi4itefKPRqEgKUCgUtLW18fbbb/Pd736Xxx9/HK/XK1qPsVhMiBS9Xs/KlSs5d+6csLuQzEnHw+v18g//8A9CCHo8HpEnKQmRxx9/nDNnzgjRNZ4dh16v5/Tp08RiMfHZpIim0W3U9PR0tFotTU1NIm9TEqKjHxeJRDh16hTRaJTMzExcLhf5+fliOWDJkiW8+OKLbN26lU8++YR169aliMtly5bx4Ycf4vV6qa6uFudrIBAQOZ1Xi16v54YbbuDxxx/n1VdfJRqNsmzZMkZGRvB4PAQCASKRCMlkEo/Hg91ux+/3MzAwIP4+SRVbWXTJfFmRz0wZmf8GPu+Qr8/nE5mA4zHefQaDgbvuuouMjAz279/P6dOnSSQSmM1mampquPHGGyksLEShUKDT6Zg7d66ovuXl5XH77bezZcsW3nvvPRHGXV1dzfTp09m8ebMQSNnZ2TQ1NVFSUsLWrVvZuHEj7733HsXFxfznf/4njz/++FXbKSgUCu666y4UCgU1NTUoFApmzZolBKj0GR988EERgbRy5UqWLVsmjoHUarv//vsvO9sj2WSM9vSaPHkyjzzyCMlkkuzsbJ555hnRNvX7/fzrv/6reOzWrVtpaGggmUzi9/t58MEHJxRd6enp/PM//zM5OTnjzlAlk0ksFgvl5eW0trZO2BLNyMgQtgnxeJxz586J8OvRn1UaNJcSAUKhkBB4o187mUzS09MjjoU01ydRVFREfX09r732GvF4nBUrVqRUr9atW8eHH37IX/3VX7F48WIh3Hp7e/n7v//7lJzMK6FQKJg9ezaTJk3i9ddfZ/369UyaNGlMBc3pdKYkFDgcDpHkkJeXJ7vQy3ypkUWXjMwfmav97T+RSAhbCcmGwWw2iyqHNCCvVCpZu3YtK1asSMnrk2wdbrnlFlasWIHH4xEXd4fDIQxcpcdK1YHh4WGxJbZ+/Xqi0SgulwuLxUJOTg4Wi4Xi4mIOHDhASUmJGDC/+eab+fGPf8yJEyc4cuSIiLDx+/1XLbpg/Jmc0RU/hUIhBvalmaHxhuWv1JZNJBJUVFSkWGqMtt94+OGHKS0tTRmynzdvHiaTCbhYJVqxYgV9fX1oNBo8Hs9lP5Pdbic7O5vm5mYUCoXwTovFYnzyySfk5OQwODiI1WqdcKZLcuRvbm5maGiI8vJyEZ8zGqnKNDIygk6nE+95PGpra8XCg3Q+SPN6Wq2Wm2++md7eXrHZOXp2q7W1lXvuuYcVK1awa9cuTp8+TWZmJjfddFNKK3rKlCliw/BypKWlsXTpUvbt28fatWvHxFrBxXMhGo3icDhwuVxieN7v93/u6pqMzB8bWXTJyHxJGR4epq2tjUmTJhEOh8nPz8fn89Ha2kpGRoYw2BwYGMDr9TJt2rQxF1epsmG32z/XJqHb7QYuCo14PI5KpRL+YfF4nJqaGrE5uH79enQ6nXDZt1gs1NTUcO+996JQKD5Xe3EikskkfX19mEwm0XZrbm5mYGCA+fPn/17PmUgkOH/+PDNmzBDCSmqzSvYDoy/gOp0uJdR6yZIlaLVa2tvbaWtr4ytf+cpVve6WLVvIysoSYkmpVPL666+zfPlyYrEYeXl5E/p9qVQqSkpK8Pv9JBIJYblwKdJtkUhkwqqZhEKhYOvWrWRnZ6NUKjGZTITDYQwGA5FIBL1ez8MPP4xGoxlTRfL7/WzdupV//ud/5rbbbiMSiZBIJIR1iDRTt3HjRu6++27C4bD4RWI8cRSLxeju7mbSpEnU19eP+5iysjLKyspQKBTCuFWhUIxrsyEj82VDFl0yMl9SRlcrYrEYQ0NDKJVKbDab2F6TKkBpaWloNBphBSEFJF/Nb/2jK0hwcctMCly+FIVCQTQa5cSJEyImqLCwEK/Xi1KpZNq0adTU1KBWq/nNb35DeXm5iIW5HPF4nM8++4zu7m7Ky8spLS3l/PnzKS7+P/nJT8jPz2fJkiUUFhbS3NxMTk4OCoWCxsZGBgcHiUQi1NbWEg6HOXnyJH6/f8IWl9FoHONhdu7cOT766CO+/vWv8+GHHzJv3rxxZ6vg4gzSO++8w5w5c1i2bNlVt7Wi0WiKOJbc7DMyMsSQ++UGzuPxOKFQCJfLxfz58ydsoSYSCVwu1xXfVzweFxuYBoOBUCgkliuCwSA2mw2n0ym85SRUKhWTJk0ShqQ9PT28+eabRCIR6urqcLlcVFdXYzQa2bt3L5WVlezZs4dYLMYNN9wgKn3JZJJ4PC7OAWlbEmBgYEDcHw6HhZiLRCIiAFxq1csVLpk/BWTRJSPzJUWj0YhgX+lip9VqU5zZY7EYNpuNRCIhtvnOnj1LU1MT119//RXbeslkUlhHjH7s5S5gGo2G1atXs3r1anGbtMp/7bXXiv9eu3btVX/WRCKBz+djcHCQl19+mQcffJCXXnpJzGpJAtLhcIiw7aGhIbxeL3PnzmXTpk3k5uYSj8cZGRkRRqr79u2bcKDe7/eTn5+f0obs7+/nxIkTwjl/2rRpKc77o4/PBx98wMjICB0dHXg8HoxGIwsXLrziZy0pKWHv3r1UV1djt9txOp20tbVhtVppamqitLT0sj+vVCpRq9XC6uNyxzQSiVzR2y0zM5MVK1akiO9LhXhubu4V24OffvophYWFzJw5k9/85jdMmzaNU6dOYTabMZlMbNu2TWye7t69W/hrxeNx3nvvPXbv3s2JEydwOBwsWbKEEydOYDKZMBgMWK1WGhsbMZvNeDweIbRKS0s/19yYjMx/N7LokpH5kiI5bsPFC2gsFkOn0xEOh4XTfTAYRK1Wi0qFTqejvLycc+fOiZ9pbW3F5/NRVFQkLvLDw8NCKG3bto2CggJmzJhBTk6OEC7S8LzRaEzZSguHw+h0OjFvI1XXAoEAKpUKk8n0uW0u/H4/Z86cIZlM0tXVRVdXF+np6SxfvhxAmJ9OmTJF5E4WFhbS2dkJXKzOLVy4kGAwKJzxu7u7KSkpobCwkJ6enjGvKc1HjbaVyMzMpLW1lR/96EecOXOGl19+OaU9Z7FYuOmmm7BaraKC1NbWhkqlYsmSJVf1WVetWkVDQwMPP/ywOH433XQT06dPZ3BwEL/fL7IUx0P6fjIyMi4rupRKJQaDQVRAr1QJulwA+2gLi1gsht/vT6kAJpNJotEoZrNZVL4mT57M9u3bicfj3HjjjTQ0NFBUVER5eTnZ2dlCEEYiEeHptWLFCq6//noKCgqIRqNiQUCv15OZmSkeBxerYJd6w8nIfNmRRZeMzJ8A0ryKNEAutVz8fr8QQNI232hvKUC0Zvbt28fixYs5duwYVVVVqFQqERMkDcjHYjF27tzJiRMniMfjWK1W7r77bmw2G2fPnmXr1q0EAgGMRiPXX389FRUV9Pf3s2XLFiFsFi5cyFe+8pXPtbbvcrno6elh6dKlHDlyhIyMDLxeL42NjZhMJgoKCjAajZw/f56CggIMBgMDAwMMDg6Ktqu0GJBMJjGZTBw6dIjq6uqU7cTRpKenY7PZUgRiaWkpjzzyCB9//DGhUIj+/v6UoOxwOCyyHxcsWMD27dvp7u6mpqaGyZMnX/V3+eSTT9LV1YXf7ycjI4P8/HxhwxGJRJg6deqEs1iDg4NotVpcLleKdcSlKBQKMjMzrzjTNRrJIPdy392ZM2f4v//3//JXf/VXNDY20tXVxSeffEJ1dTVbt26ltbWVyspKysrK0Ov1Yqtw2bJlfPrpp4RCIfR6PWfPniWZTBIKhcjNzRWV05GRERoaGjAYDCQSCdHSBqivrxeh4Feq9MnIfBmRRZeMzJ8Ao+dyJJGQTCZFS3CiKoY0jK/T6fD5fFgsFoqKijh//jxGo5HCwkKsVivZ2dmYzWYGBwfZu3cvK1euZMaMGUJgjYyMsGnTJubOnUttbS27du3i7bff5qGHHuL9998nGAxy3333ceHCBX79619TUVEhKlJXg9SW6u/v57rrrqOgoIBrr72WI0eOUFpaSmFhIYsWLWL//v10dHRgs9kYGhpicHCQt99+G6PRSGdnJ2q1mqlTp7Jnzx7uu+8+Ghsb+fjjj5k6deqY13Q4HGOEklqtZvXq1SxZsgS1Ws03v/lN8vLyUh4zODjIr371K1wuF5FIBKPRyLFjx6iurr6qwGu4WGUb/drJZBKlUkldXR2dnZ3j5mtK5OTk4HQ6yc3NnTDiSEKn00xaa3AAAB2wSURBVKHVaq9q3imRSHD06FGi0SgLFiyY8HF2u50lS5aI4O66ujqMRiOZmZl87WtfIxQKiUirjRs3iliiuro6SktLCYfDmM1mIWal2UXJK81qtRKNRkVFLScnh3A4LI4R/P8NVhmZPzVk0SUj8yfKeBfSeDyO1+vF7/czODhIKBQiEAiQm5tLa2sr8Xic3NxcYrEY58+fp7i4GK1WS2dnJ0ajEZPJxMyZM/noo4/o6+tj/vz5aDQaent7aW1txeFw0N/fT19fHz09PQwMDPDZZ5+hUqn44IMPCIVCeL1eXC4XZrM5xXh1vNkoCaPRyA033JByW319fcpAf0lJSYq9w9e//nW6u7tpb2/H5XJhMpnIy8sjLy+PxsZGTpw4gd/vn7Dt53a7OXv2rPAuUyqVDA8PYzabUalULFiwgJ6eHpRKJTk5OeLnzGYz119/PZs3b6aiooKpU6fywQcfMDg4eJXf3PicOnUKq9XK7NmzJ9z4lDYuQ6GQqPhMRCKRYHh4GIvFclXtxWg0yrZt2ygqKrqs6MrPz+fOO+8c975L232jq2wqlYrc3FzgosgcvU176RzZ6M813oyZjMyfKrLokpH5MyIej+PxeCgsLKS/v5/S0lJKS0tRKBTCWsHr9WI0GikrKxNmou3t7YyMjGA2m/nqV7/KzJkzOXToED/+8Y959NFHgYsVidzcXDIyMigsLMRsNguxYrfbxYzY1KlTyc/P58iRIxgMBjweD36/n1WrVl22gvP7kJubS3Z2NkNDQ8IQFOBrX/saPp8PvV6PzWajsbFxzM9K7ysWi5GZmUk8HsdkMjEwMCCGzwcHBzGZTCmiS6PRkJeXR0ZGBt3d3SiVSgYGBi5beQmHwzidTtxuNzqdjsHBQWw2GxaLRWRs+v1+mpubKSsrS5kZG00oFKKnp+eqci2VSiUWi+WKxzyRSLB//36OHj3K7t27yc/Pp7e3F4D58+ezePFiFAoFbrebTZs24ff7MRqN3H777WRnZwMX57x27NghNh21Wi3z589n//79BAIB1q1bR3Z2NgqFgqGhIT7++GPOnj2LVqultraWWbNmifcZiUQIhUJiFk2a4dLr9bLTvMyfPPIZLCPzZ4RWq6Wqqgqfzydmj/Ly8sTFyufzUVVVldKWys7OFhfPQCBAe3s7VquV+fPnc+DAAbxeL6WlpZSVlZFIJJgyZYqwrEhLS2PGjBl0dHRQUlKCVqtleHgYm81GRUUFiUSCjIwM0WK6XBbipSSTSY4ePUosFhtjYeFyucTGpZQ9OBqTyXRZQ1C46PdUXFxMOBwmPT1dzMRJ71FqZ000N7Ru3To+/fRTPB4PixYtEp5R4yEFQJvNZrGJaTKZUp576dKlhEIhDAbDhAJOr9dTVlaGRqPB6/Ve9nhKdiOX2mKMRzgcRq/Xi6qfVLEafQy1Wi1FRUWcOnWK3/zmN6xatUqcN/F4nA8//BC3201RURFHjhxhz549OBwOTp06RSQS4f777ycQCPDcc8/hdDqZPn06/f39PPPMM9x+++3cdtttqFQqhoeHcTqdqNVqgsEgIyMjeL1e5s+fn2L+KyPzp4gsumRk/syQ7Bei0agYuB+dH3ipSWo0GiWRSKDT6YhGo+zZs4e+vj6USiULFiygtLQUg8HAnXfeybZt2/jpT39KLBZj8eLFZGdnM2/ePIaGhvjZz36GQqGgsLCQ3NxcUfmC/98WGhkZ+VyfRbIKCAaD7N27l1gsxowZM9i8eTOlpaWsW7duTEzM1aLRaIRY+33aVhkZGaxZs0b89+WeQ61WU1xcTH5+/rjtM+n9XGlGC6Crqwufz4fdbr/sayYSCYaGhrBarZdtLyqVSpYvX87cuXP54IMPqKur49577xXvTfq5tLQ0brjhBnJzc9m5c+eY54nH42RnZ/Poo4/y7LPP0tvby7e//W02bdpEc3MzkUiEjz/+mGPHjvHss89SVlZGLBbj5Zdf5vXXX2fJkiXk5eVhtVopLy9POVeCweAXYrIrI/PfjSy6ZGT+zFAoFClD7JdecKXQZZ/PJ1o4w8PDpKWlEYlEuOWWW8Q6v9VqJRgMikrNLbfcQldXF4cPH8ZgMNDa2orH4yE3Nxez2UxpaSl9fX309/d/rq25iT6H5EvW19fH8PAwdrudvr4+8vPzqampGdM6SyaTIkQ8EokQjUaJRCJ0d3en2DBIzudSuLgUGC39+2pF2ESv19vbm1KFikQiwt7i0tf6PK+nVCpFm1iy6JgIrVZLTU3NVYlSKU1A+udyW4GXE285OTlYrVYhCNPS0rBarcKp/tNPP8XlcvGTn/xEvEZvby89PT0MDg6Sl5eHRqMhIyMjRWT9PqHvMjJfRmTRJSPzZ8bVbHZFIhGRxSht5/l8Pnw+HyqVCp1OJ9b5BwYGMBgMYuaprKyMjIwM8Trp6enEYjGUSiUZGRnk5eWNafddCUmwBAIBFAoFGo2GWCzG/v37aWlpITs7G5/PR19fn4jfOXz4MPn5+WJu7MUXX6StrY1gMCjiZkKhEOFwGL/fn5KN6PF4eOqppzCZTOj1enQ6Xcq/MzIyeOihhyZsZ3V1dfGzn/0Ml8slXmP06w0NDYkWLEBPTw/f+c53hAv+pa+Xn5/PAw88cMUom8HBQd59911UKhVut5t77713QgNcpVL5R23HSd+b9GeVSiVEnBSkPjw8jMPhYNasWSnnqEajEa3KiZ5bRubPAVl0ycj8DyQWixGPxzEYDAQCAYLBoIhUkUKY4eLFUMpbNBgMBINB7Ha7cAQfDynK5tLqxOUunG63WzizS/l/JpMJq9XKPffcQ0tLC8XFxXR2djIwMIDFYmH69OlCcIyMjPD+++/jdDqv6vMnEgn6+vomvN9sNrNx48YJRcvg4CBbt25lYGDgql4vFouNa9AqkZuby1133XVF0WU2m1mzZg16vR63231V7cirZXSQ9dVsO17uOSa6Lzc3l/b2dm688cYUw9Ur/ayMzJ8LsuiSkfkfiNFoFNl3gJjzikaj9PT0oNPpSCQSIo/P7/cL93C/309LSwtNTU3E43FmzZqFzWZj//79KBQKEeTsdrspLS2lu7uburo6IZCkVqWEQqHAZrMxZcoUJk+eTHt7O2azWVRLjEYjRUVFBAIBHA4HaWlpBINB0tLSUi7Ulz7vfwWpSjMR0nv7Q7+eZPoqvY5Op8PtdrNlyxbsdjsbN24UPzv6cRO1By993Ohqk0qlwmq1igxMjUaDXq8XM2GJRIJEIiFmBSUvrc8jllauXMn777/PK6+8wnXXXSc2OUOhkMjslJH5c0Y+w2Vk/gcyUR6fVJ0Kh8NizkelUonbdTodSqVS5N9NmzaNI0eOoFAoqKysJJlMcujQIbKyshgcHESj0TAwMCDsD/R6Pd/5zne45557xGsWFBRgMpmEj1dWVhaHDh3C5XIxNDSU8rperxebzYbBYBBVqJGRESKRCM8991xKS++/gkqloqysbML7S0tLefHFF0VF8L+KVqtNsaWQqK2t5eWXXyYcDtPf38/MmTOJx+NUVVWJ9jBAUVERv/jFL8T7mSgeJzMzk+eee45AICAsJSSBptfrue2223jhhRd44IEHMBgM3H777Xz1q18lkUiwadMmdu/eTX9/P8PDw/zwhz8kIyODlStXcsMNN6DRaIRoUqvVogqnUqnEn6uqqnjiiSd46aWX2LFjh7h/0aJFVFdXfyHHUkbmy4xCHlCU+SMgn2R/Ylzp/wsfffSRqEB9+OGHJBIJvvKVr5BMJvnkk0+IRqPC7yk/P5+lS5d+rtf3+/1Eo1Hi8bgQiNFoVFRq4vE46enpqNVqent7cTqdzJ079wttt32ZaG1t5f/8n//D3/3d35GZmUksFiMcDmMymS5baYrFYrhcLhEsrVKpCIVCuN1u4Q8GCI+2cDgslhbUajVZWVlMnjwZpVJJR0fHuAawdrudvLw84aSflZVFb28v8XicvLw8BgYGGBkZobCwUAj4wcFB+vr6iMViWCwWcnJyrhjO/kdE7nPK/MGQK10yMjJjuFLLSK1Wi7aWNAh+9OhREokElZWVnDlzhszMTPr6+sSckmRfIbWp1Go1sVgspU0Xi8WIRqNoNBrhERUOh9FoNOKCHYvFhKdWJBLBYrEwZ86clNbU6PaXVHWRBrrj8bjI8pOeV/q80vMHg8GUbUeFQoHFYkGlUonAaSnvMhgMkkwm0el0woNLei5pwF4Kn5byISXi8TihUEgISr1enxLbE4vFCIVCHDp0iDNnzuDxeMRnMZlMRKNR1Gp1SjtRek5pBu/kyZN4vV7UajUlJSU4HA7i8TifffYZkUhE+Gqlp6czNDREfn6+OG5Op5Pi4mIhsIuKiiY8J4qKisT3KznPw8W4JavVmhLhc+l2oozM/xTkSpfMHwP5JPszY3h4mP7+fhFoLDm5J5NJsrOz8fv9GAwGotEoVqsVs9lMMpmkoaEBp9PJyMgIWVlZDA0NYTabWbJkCT6fj4MHDzI8PIxWq2Xu3Lnk5+fz/vvvU1ZWxrRp04jH4xw4cACVSkVdXR0NDQ2cPHkSg8HA9ddfj1arJZlM4na72b9/vzAHra+vJz8/H7/fz4EDBxgYGCAej1NRUZEi2DweD//+7//OwYMH8fv9Iky7oqKCH/7whxQWFtLR0cHf/u3fcu+993LkyBH27dtHOBxm/fr1PPDAA2Lx4OTJk7z66qu0tLSg1WpZsGABd955J1lZWSgUCoLBIG+99RY7d+4UvmiVlZXcf//9Yt7u6NGjvPTSSxw8eJDOzk4qKyvRarXYbDa++93vMjAwQG1tbYpnV2dnJy+99BIPPPAAZrOZjo4OHA6HCDhXq9VEo1HC4bDYVPX7/WJ4XqfTEYlEhBiVUgcmIplM4vf7icfjDAwM4PP5KC8vR6lUinPj4MGDzJ07V3jC2Wy2L/Pg/Jf2jcn86SNXumRkZD43ZrNZVGgCgYC4LZlMMjAwIObBotFoykbe8PAwgUCAiooKDh8+zJIlSzh8+DAej4f9+/eTkZHBggULuHDhAjt37uS2227D4XDQ0NDA5MmTCQQCOJ1OFixYgEKhEEHWR48eFS3ReDzOrl27yMvLY9GiRTQ2NrJ3715uvvlmurq66OzsZMWKFaKdJQmKZDLJf/zHf7Bp0yZ+8IMfkJGRwc9//nOam5t58MEHhaVBJBLh5MmT/OhHP6K8vJwNGzYwPDwsrDeSySQtLS387//9v6moqOC+++7D4/Hwyiuv4Ha7hVVFMpmku7ubqqoqbrrpJtxuNy+88AI+n48f/ehH6HQ6CgoKuOuuuzAajezYsYP/9b/+FxkZGWg0GoqKihgcHBRVOwnJEywajaLX64UAGo1GoxFbpsB/KZ5JEsLBYFDcNjQ0hFarJRKJUFlZiUqlYmRkhP379xOLxVi3bl3K68vI/E9BFl0yMjKfG6lFJMX8SFtw0pabVO0JBAIpc1bSz+Xk5GC328nKykKn0+H1evF4PMyfPx+73Y7JZGL//v0MDg5SVlbGqVOnGBwcFBmHeXl5wjz10pgbv99PZ2cnFouFhoYG8dzBYJDMzEwMBgNHjhyhvLw8ZYMzHo+zd+9e6uvrWb9+PXDRGuKv//qvMZvNKVmIfr+f/Px8nnzySSwWS8qxicfjvP322ySTSb7//e+Tm5srbBh+8pOfcMcdd1BVVYXBYODhhx8WthyJRIKBgQG2bNmC1+sV8UzZ2dkcO3YMk8nEnDlzROtOquIlEokxVaN4PM6xY8fw+Xzk5uZSX1+P0WgkEolw4sQJmpubsVgsLFiwALvdTjKZpLW1VYjXOXPmMGnSJPr6+jh79iwqlYr29naysrJYsGBBSni55M8ViUQwGAw4HA5CoZBoNQaDQTweD8PDwxiNRqxW65/t7J2MzJWQRZeMjMzvhUqlStlMu5RkMjlGEI02zZSqYdJjpfsvxWaz4XA4aGlpwev1UlRUdFmXdalNptfrMRgMGAwGEWWk0+m49tprcTqdNDQ00NHRwapVq8SclNVqZXBwkGAwiFarpb+/f9x4Ho1Gw9y5c7FYLOMKnsOHD+Pz+fjFL34hqkxOpxOv1yuqW3AxfPzEiRO0tbXh9/s5fvw4kUjkqrYipdk4pVI5xlfL7XZz/PhxSkpKeOutt/B6/1979xYbVb3FcfzbvXfnzrTTMrU3Si84lRbphYuC6QOlShokErFKSXzwmpiQGCExGghR332gL8ZgjBBEgjEmJoREaYImSjFFkViGChVKa+u0naGlndlzn/NA5n8KlHM0hiK6Pi9N2sx0TzNNV9de/9+a5IknnqC7u5uvvvqKpqYmzp49y5kzZ3j99dcZHR1l7969PPjggyQSCbq6utixYwfBYJC9e/eyZs0aSktLOXz4MLFYjMcff1wVipFIhKamJuLxuPo5ZYtvwzBwOBy0tLTgcDjwer3q80L8G8k7XwhxR/yZmR2Xy0VhYSH9/f3YbDaGhoawWq3qhKLP56Onp4ecnBza29vVUHwsFiMWi6nhd03TcLlclJWVkZuby/33308qlSKVSmGxWJiamiIajVJZWUkmk6G3t1cN7uu6zrPPPsubb77Jzp078Xg8/PDDDzz11FM3rFWC6wWn3W6/beyGaZqk02kmJyfV5z0eD1u3blXP5ff72bNnD+l0muXLl6uVRH9UJpPB7XbPudjb4XDw9NNP4/P58Hg8fPPNNzzyyCN8+eWX1NfXs3btWqqqqnj33XcZHh7m22+/Rdd11q1bRywWo6+vj++//56amhocDgednZ0sWrSIeDzO+fPnaW9vR9M0EokEvb29anasoKBAvXav18uyZcuwWCxqaP5vdEJRiLtCii4hxLyx2+2q0+F2u9F1nby8POx2Oy0tLZw8eZJjx46h6zqtra0qEmH2CbtskKtpmpw8eZKRkREikQjd3d3U1tZSV1fH+vXr+e677/j0008xDIPly5fj9Xq5evUqPT09pFIpNE1j9erVN8wz+Xw+dUuvvLyctrY2Vq1adUux8L8KSk3TVDdu9+7dt8wuZbs8n3/+OYODgxw4cICamhoMw6Crqwu/33/Lc968JHuur8+WzT3LycmhsLCQSCTCzMwMwWCQU6dOcfnyZdLpNFVVVei6zujoKJcvX2b//v2qQ5ndnVlQUKA6ek6nk7GxMfV9cnNz1eJqm82Gy+UiHo9jGAZOp1M6WkLcRH4jhBDzpq6uTsU9ZHcotra2qrmm9vZ29Ud7dvyCy+Wio6ODaDSqZoNycnLw+XwqMNQ0TQoKCpienkbXdR577DEGBgYwTZOGhgbC4TBut5tNmzYBqJN7s4fMz507x/DwMNu3b6esrAxN05iamlJxD3+EYRhs2rSJ3bt388UXX/Doo49iGIY6Dbl06VIVdwGopP/+/n6OHTt221usMzMz+P1+7HY7mUwGp9NJfX39nNc1NTVFMBikpKSEkZERFixYQF5eHiUlJTQ0NKjbg9nIjcWLFxMKhdixYwcWi0UN4ff19f3f5dezYyRmF4d/49OJQtw1UnQJIebF7IXI8N8VNLO7SBaL5YaB9dmPtVqt+P1+FZaaSqWYnp4mPz+fVCpFbm4u09PTjI2N4fF41MB+IBAgGo2qIfFly5bNmdieDQ+Nx+Ps2rULwzDIZDI4HA5efPFFtm7d+ocKL03TaG1t5aWXXmLfvn189NFHGIZBLBZjxYoVvP3221itVjZu3MiJEyd45ZVXKCoqIp1O09TURE9Pzy3PuXbtWmpra3njjTcoLi7G6/Wya9eu26bm67rO4cOH8Xg8/PLLL3R0dFBQUMDmzZv55JNPGBoaQtd1nE4nzz//POvWrePMmTN0dXWRl5dHMpmks7Pz/77WuQorKbaEuD3J6RLzQd5k4i9LpVL09vaqbLB4PK6COEOhkEpUn5iYoKSkRM1cBQIBlixZwo8//khBQQG1tbVzLuw+e/Ysr776Ks899xxNTU3ouk4sFuPw4cOcPn2agwcPUlxczMjICK+99hp79uyhvr5+zmvNhrNeunSJCxcucO3aNcrLy/H5fBQVFaFpGteuXWN0dJSLFy8CsGTJEhYuXMi5c+dYuXLlDYcFsvESfX19KpqhqKiIxsZGAoEAixcvJicnh8HBQUKhELquq9m4oqIiamtrsVgsDA0NEY1GGRoawjRNKioqqKysRNM0JiYm+Prrr1VC/NKlSwmHwwwODlJXV0dubi6BQIBYLEZtbe3/7IDd46RqFHeMdLqEEPcMwzAIh8Pk5+eTyWQIhUKEw2Hgeoepurqaqakp8vPz8Xq9TE5OUlZWxoIFC2hublaxBnP56aefiEajtLe3q05YNoPq1KlTpNNpdQ1er/eG/LGbZeMsamtrcTqddHd38/DDD6suXiKR4MiRI2zatEnFU2S1tLTM+XxlZWWUlJTQ09OD3+8nnU7T39/P6OgoZWVlHD9+nMuXL1NWVkY4HMYwDJqamvD7/Vy5coX6+noOHTpEU1MTbW1tXLx4kenpacbHx4lGowA0NjZimiaGYTA0NARcv7U7MDCAy+Wiqqpqzk6kEOKPkaJLCHFP0DQNn8/HzMwMkUhEzWNlYyiKi4tVceV2u9UQeSgUIpVKqdVFt+vQ1NXVYZom77zzDmvXriWZTPLzzz/T3d1NZ2fnDbckI5EIH374IZOTk7S1tdHa2oppmhw8eJBLly5RU1PDtm3bVODp6dOn8fv9bNiwgVWrVnHo0CEOHDjA2bNnqaur44UXXiASiXDw4EGGhobw+Xw888wzZDIZjhw5Qm5uLufPn+ehhx7CNE0aGxv57bffKC4uZmBggOnpaUKhEI2NjVy5coXc3Fzuu+8+zpw5g8fjUScqq6urWbVqFYZhYLPZKCoqUsPv2Z9xMplUcRCA+miz2SRfS4i/SH/rrbfu9jWIf7637vYFiHtfdq7L5XLh8Xhwu90sXLiQhQsXUlRUhM1mQ9O0G7LB4vE4fX19hEIhzp07RywWIz8/H6vVqga+M5mMWl+0YsUKLly4QE9PDwMDA+Tl5fHyyy+zZcsWtRMxHA5z9OhR2traWL16Nfv372f16tUcPXqUyclJOjs7OXHiBNFolJUrV6LrOolEgp07d1JTU4PNZsPr9dLf38/27dtpaWnBZrPx8ccfY5omHR0dHD9+nHQ6TXl5Ofv27aO6uponn3yS6upqotEov/76KyUlJQSDQQYGBigvL2dwcJArV65QWFiIw+HA5XJht9tVBpjP52N8fJxgMEhFRQUejweHw4FhGGqWzmKxYLVa1Uer1YrNZlMF179kXuvtu30B4p9LOl1CiHvKn/nDb7VaaWhoIJFIUFlZicPhwGazkclkCAQC6tRjdhdiZWUl27dvJ5VKkUwmSaVSVFZW3hIZkZeXR3NzMwUFBTgcDgKBAKdPn+bq1auMj4+rBPzs4m6bzYbb7VbxFNmE+9l7KXt7ezFNk99//109Hq7HP6xZswbTNBkdHVXLpw3DwDRNtm3bhqZpFBcXk0gkWLBgAclkUhWp9fX1xGIxVXg98MADt3T7bg6wFULcGVJ0CSH+sbJhqTdLp9PqlhpcLzSypxWzcQmxWAzTNOfMx4pGo4yPj6vYBZfLRXFxMcuXL2fjxo1kMhm1Hijb6YrFYrfc4jRNk0QigWEYlJaWUlFRwYYNG1TwaSKRQNM0NE3D7XaTSqVUbEZ+fj42m03FazQ3NzM8PKxuG2Yfp+u6OpmZfa1CiLtDii4hxL9ONsD05oJqdkESj8eJRCK3DI5nC7nPPvuMRCLBkiVLWLRoER0dHbz//vsEg0FycnLYsmULLpeLiooKYrEY7733HuvXr2flypU4nU5qamo4cOAADQ0NbN68mY6ODj744AMCgQCaptHR0UF+fj5Op1PtmywtLSWTyRAOh1VWWfa6CwsL8Xg8asWSEOLvRyIjxHyQN5n4x0gmk4RCIZLJJOFwmNLSUpU6HwqFGB8fx2azUVpaisViIZ1OMzExwdWrV/F6vWolzszMDCMjI9jtdsrLywEIBoNMTExgt9spKSlB13XGxsYoLCyUU4PzR1qB4o6RokvMB3mTCSHuFVJ0iTtGetBCCCGEEPNAZrrEfJD/HIUQQvzrSadLCCGEEGIeSNElhBBCCDEPpOgSQgghhJgHUnQJIYQQQswDKbqEEEIIIeaBFF1CCCGEEPPgP1RCbOjmA0dOAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#mask from #mask from: http://clipart-library.com/clip-art/308-3086366_harry-potter-silurysd-harry-potter-clip-art-black.htm\n",
    "#creating an array of arrays for the mask \n",
    "positive_word_cloud = create_word_cloud_with_mask(\"harry_potter.PNG\", stopwords_removed_dict_pos, 750, \"Positive Review Word Cloud Stopwords Removed\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 350,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>word</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>19</td>\n",
       "      <td>1542</td>\n",
       "      <td>harry</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>233</td>\n",
       "      <td>1406</td>\n",
       "      <td>movie</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>59</td>\n",
       "      <td>1261</td>\n",
       "      <td>for</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>193</td>\n",
       "      <td>1216</td>\n",
       "      <td>film</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>63</td>\n",
       "      <td>1107</td>\n",
       "      <td>but</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>132</td>\n",
       "      <td>1096</td>\n",
       "      <td>with</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>52</td>\n",
       "      <td>974</td>\n",
       "      <td>potter</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6</td>\n",
       "      <td>839</td>\n",
       "      <td>not</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>149</td>\n",
       "      <td>826</td>\n",
       "      <td>you</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>161</td>\n",
       "      <td>816</td>\n",
       "      <td>are</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>169</td>\n",
       "      <td>814</td>\n",
       "      <td>have</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>35</td>\n",
       "      <td>787</td>\n",
       "      <td>all</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>166</td>\n",
       "      <td>712</td>\n",
       "      <td>book</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>134</td>\n",
       "      <td>700</td>\n",
       "      <td>they</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>23</td>\n",
       "      <td>667</td>\n",
       "      <td>one</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>41</td>\n",
       "      <td>603</td>\n",
       "      <td>his</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>28</td>\n",
       "      <td>582</td>\n",
       "      <td>from</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>163</td>\n",
       "      <td>575</td>\n",
       "      <td>more</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>73</td>\n",
       "      <td>554</td>\n",
       "      <td>has</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>378</td>\n",
       "      <td>510</td>\n",
       "      <td>there</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     count    word\n",
       "19    1542   harry\n",
       "233   1406   movie\n",
       "59    1261     for\n",
       "193   1216    film\n",
       "63    1107     but\n",
       "132   1096    with\n",
       "52     974  potter\n",
       "6      839     not\n",
       "149    826     you\n",
       "161    816     are\n",
       "169    814    have\n",
       "35     787     all\n",
       "166    712    book\n",
       "134    700    they\n",
       "23     667     one\n",
       "41     603     his\n",
       "28     582    from\n",
       "163    575    more\n",
       "73     554     has\n",
       "378    510   there"
      ]
     },
     "execution_count": 350,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Visualizing the top 12 words/characters\n",
    "eda_reviews_top_words_pos = word_freq_dict_to_df_top_words(stopwords_removed_dict_pos, 20)\n",
    "eda_reviews_top_words_pos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 351,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "positive_bar_plot = top_words_bar_plot(eda_reviews_top_words_pos, \"Top 20 Positive Words\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 353,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#creating an array of arrays for the mask \n",
    "negative_word_cloud = create_word_cloud_with_mask(\"harry_potter.PNG\", stopwords_removed_dict_neg, 750, \"Negative Review Word Cloud Stopwords Removed\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 354,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>word</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>43</td>\n",
       "      <td>1842</td>\n",
       "      <td>movie</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>54</td>\n",
       "      <td>1426</td>\n",
       "      <td>harry</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>1186</td>\n",
       "      <td>for</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>179</td>\n",
       "      <td>1163</td>\n",
       "      <td>not</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>65</td>\n",
       "      <td>1132</td>\n",
       "      <td>they</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>231</td>\n",
       "      <td>1094</td>\n",
       "      <td>but</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>122</td>\n",
       "      <td>1085</td>\n",
       "      <td>book</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>82</td>\n",
       "      <td>1083</td>\n",
       "      <td>with</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>285</td>\n",
       "      <td>1013</td>\n",
       "      <td>have</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>118</td>\n",
       "      <td>908</td>\n",
       "      <td>film</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>148</td>\n",
       "      <td>887</td>\n",
       "      <td>all</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>235</td>\n",
       "      <td>836</td>\n",
       "      <td>you</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21</td>\n",
       "      <td>735</td>\n",
       "      <td>are</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>99</td>\n",
       "      <td>710</td>\n",
       "      <td>potter</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>414</td>\n",
       "      <td>681</td>\n",
       "      <td>just</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>40</td>\n",
       "      <td>636</td>\n",
       "      <td>out</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>269</td>\n",
       "      <td>616</td>\n",
       "      <td>like</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>232</td>\n",
       "      <td>610</td>\n",
       "      <td>there</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>63</td>\n",
       "      <td>601</td>\n",
       "      <td>one</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>387</td>\n",
       "      <td>596</td>\n",
       "      <td>what</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     count    word\n",
       "43    1842   movie\n",
       "54    1426   harry\n",
       "2     1186     for\n",
       "179   1163     not\n",
       "65    1132    they\n",
       "231   1094     but\n",
       "122   1085    book\n",
       "82    1083    with\n",
       "285   1013    have\n",
       "118    908    film\n",
       "148    887     all\n",
       "235    836     you\n",
       "21     735     are\n",
       "99     710  potter\n",
       "414    681    just\n",
       "40     636     out\n",
       "269    616    like\n",
       "232    610   there\n",
       "63     601     one\n",
       "387    596    what"
      ]
     },
     "execution_count": 354,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Visualizing the top 12 words/characters\n",
    "eda_reviews_top_words_neg = word_freq_dict_to_df_top_words(stopwords_removed_dict_neg, 20)\n",
    "eda_reviews_top_words_neg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 355,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "negative_bar_plot = top_words_bar_plot(eda_reviews_top_words_neg, \"Top 20 Negative Words\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 356,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "***** Positive *****\n",
      "The total number of words is 102842\n",
      "The total number of unique words is 9079\n",
      "***** Negative *****\n",
      "The total number of words is 104231\n",
      "The total number of unique words is 9204\n"
     ]
    }
   ],
   "source": [
    "print(\"***** Positive *****\")\n",
    "total_words_unique_words(stopwords_removed_dict_pos)\n",
    "print(\"***** Negative *****\")\n",
    "total_words_unique_words(stopwords_removed_dict_neg)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 357,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Going to remove one more set of stopwords\n",
    "stopwords = [\"movie\", \"for\", \"they\", \"with\", \"have\", \"film\", \"all\", \"you\", \"are\", \"just\", \"there\", \"one\", \"what\", \"has\", \n",
    "            \"his\", \"her\", \"your\", \"mine\", \"from\", \"not\"]\n",
    "negative_df[\"stopwords_removed\"] = negative_df[\"stopwords_removed\"].apply(lambda row: stop_word_removal(stopwords, row))\n",
    "positive_df[\"stopwords_removed\"] = positive_df[\"stopwords_removed\"].apply(lambda row: stop_word_removal(stopwords, row))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 358,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>rating</th>\n",
       "      <th>review</th>\n",
       "      <th>new_review</th>\n",
       "      <th>percent_cap</th>\n",
       "      <th>review_tokenize</th>\n",
       "      <th>stopwords_removed</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>The Magic Comes To Life!\\n== Once upon a time...</td>\n",
       "      <td>the magic comes life once upon time and not t...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>[the, magic, comes, life, once, upon, time, an...</td>\n",
       "      <td>[magic, comes, life, once, upon, time, long, a...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>Pure Magic\\n== This movie is a delight for th...</td>\n",
       "      <td>pure magic this movie delight for those all a...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>[pure, magic, this, movie, delight, for, those...</td>\n",
       "      <td>[pure, magic, delight, those, ages, seen, seve...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>Enchantment, Trapdoor to Imaginary World.\\n==...</td>\n",
       "      <td>ian enchantment trapdoor imaginary world this...</td>\n",
       "      <td>0.002242</td>\n",
       "      <td>[ian, enchantment, trapdoor, imaginary, world,...</td>\n",
       "      <td>[ian, enchantment, trapdoor, imaginary, world,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>10</td>\n",
       "      <td>Harry Potter and the Sorcerer's Stone\\n== 10/...</td>\n",
       "      <td>harry potter and the sorcerer stone unforgett...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>[harry, potter, and, the, sorcerer, stone, unf...</td>\n",
       "      <td>[harry, potter, sorcerer, stone, unforgettable...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "      <td>Great Journey to the Magic World\\n== I watch ...</td>\n",
       "      <td>great journey the magic world watch this movi...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>[great, journey, the, magic, world, watch, thi...</td>\n",
       "      <td>[great, journey, magic, world, watch, again, b...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  rating                                             review  \\\n",
       "0     10   The Magic Comes To Life!\\n== Once upon a time...   \n",
       "1     10   Pure Magic\\n== This movie is a delight for th...   \n",
       "2     10   Enchantment, Trapdoor to Imaginary World.\\n==...   \n",
       "3     10   Harry Potter and the Sorcerer's Stone\\n== 10/...   \n",
       "4     10   Great Journey to the Magic World\\n== I watch ...   \n",
       "\n",
       "                                          new_review  percent_cap  \\\n",
       "0   the magic comes life once upon time and not t...     0.000000   \n",
       "1   pure magic this movie delight for those all a...     0.000000   \n",
       "2   ian enchantment trapdoor imaginary world this...     0.002242   \n",
       "3   harry potter and the sorcerer stone unforgett...     0.000000   \n",
       "4   great journey the magic world watch this movi...     0.000000   \n",
       "\n",
       "                                     review_tokenize  \\\n",
       "0  [the, magic, comes, life, once, upon, time, an...   \n",
       "1  [pure, magic, this, movie, delight, for, those...   \n",
       "2  [ian, enchantment, trapdoor, imaginary, world,...   \n",
       "3  [harry, potter, and, the, sorcerer, stone, unf...   \n",
       "4  [great, journey, the, magic, world, watch, thi...   \n",
       "\n",
       "                                   stopwords_removed  \n",
       "0  [magic, comes, life, once, upon, time, long, a...  \n",
       "1  [pure, magic, delight, those, ages, seen, seve...  \n",
       "2  [ian, enchantment, trapdoor, imaginary, world,...  \n",
       "3  [harry, potter, sorcerer, stone, unforgettable...  \n",
       "4  [great, journey, magic, world, watch, again, b...  "
      ]
     },
     "execution_count": 358,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "positive_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 359,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>rating</th>\n",
       "      <th>review</th>\n",
       "      <th>new_review</th>\n",
       "      <th>percent_cap</th>\n",
       "      <th>review_tokenize</th>\n",
       "      <th>stopwords_removed</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>For Kids Only, Unfortunately\\n==  *SLIGHT SPO...</td>\n",
       "      <td>slight spoilers for kids only unfortunately s...</td>\n",
       "      <td>0.010811</td>\n",
       "      <td>[slight, spoilers, for, kids, only, unfortunat...</td>\n",
       "      <td>[slight, spoilers, kids, only, unfortunately, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>An effects-laden excuse of an adaptation\\n== ...</td>\n",
       "      <td>effects laden excuse adaptation many viewers ...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>[effects, laden, excuse, adaptation, many, vie...</td>\n",
       "      <td>[effects, laden, excuse, adaptation, many, vie...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>Hollywood's greatest shame.\\n== At first I li...</td>\n",
       "      <td>wow had ringwraiths entz shelob yeah hollywoo...</td>\n",
       "      <td>0.010187</td>\n",
       "      <td>[wow, had, ringwraiths, entz, shelob, yeah, ho...</td>\n",
       "      <td>[wow, had, ringwraiths, entz, shelob, yeah, ho...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Dismal, Contrived, Ripoff and just plain dumb...</td>\n",
       "      <td>jrr dismal contrived ripoff and just plain du...</td>\n",
       "      <td>0.005952</td>\n",
       "      <td>[jrr, dismal, contrived, ripoff, and, just, pl...</td>\n",
       "      <td>[jrr, dismal, contrived, ripoff, plain, dumb, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>Great storytelling, no story\\n==  SPOILERS Be...</td>\n",
       "      <td>spoilers lot great storytelling story spoiler...</td>\n",
       "      <td>0.003333</td>\n",
       "      <td>[spoilers, lot, great, storytelling, story, sp...</td>\n",
       "      <td>[spoilers, lot, great, storytelling, story, sp...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  rating                                             review  \\\n",
       "0      1   For Kids Only, Unfortunately\\n==  *SLIGHT SPO...   \n",
       "1      1   An effects-laden excuse of an adaptation\\n== ...   \n",
       "2      1   Hollywood's greatest shame.\\n== At first I li...   \n",
       "3      1   Dismal, Contrived, Ripoff and just plain dumb...   \n",
       "4      1   Great storytelling, no story\\n==  SPOILERS Be...   \n",
       "\n",
       "                                          new_review  percent_cap  \\\n",
       "0   slight spoilers for kids only unfortunately s...     0.010811   \n",
       "1   effects laden excuse adaptation many viewers ...     0.000000   \n",
       "2   wow had ringwraiths entz shelob yeah hollywoo...     0.010187   \n",
       "3   jrr dismal contrived ripoff and just plain du...     0.005952   \n",
       "4   spoilers lot great storytelling story spoiler...     0.003333   \n",
       "\n",
       "                                     review_tokenize  \\\n",
       "0  [slight, spoilers, for, kids, only, unfortunat...   \n",
       "1  [effects, laden, excuse, adaptation, many, vie...   \n",
       "2  [wow, had, ringwraiths, entz, shelob, yeah, ho...   \n",
       "3  [jrr, dismal, contrived, ripoff, and, just, pl...   \n",
       "4  [spoilers, lot, great, storytelling, story, sp...   \n",
       "\n",
       "                                   stopwords_removed  \n",
       "0  [slight, spoilers, kids, only, unfortunately, ...  \n",
       "1  [effects, laden, excuse, adaptation, many, vie...  \n",
       "2  [wow, had, ringwraiths, entz, shelob, yeah, ho...  \n",
       "3  [jrr, dismal, contrived, ripoff, plain, dumb, ...  \n",
       "4  [spoilers, lot, great, storytelling, story, sp...  "
      ]
     },
     "execution_count": 359,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "negative_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 360,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Now, I am going to visualize the stopwords_removed reviews and decide on what the next processing steps are. \n",
    "#Visualizing the data without the stopwords \n",
    "pos_viz = pd.DataFrame()\n",
    "pos_viz[\"stopwords_removed\"] = positive_df[\"stopwords_removed\"].copy()\n",
    "pos_viz[\"stopwords_removed\"] = getting_data_ready_for_freq(pos_viz, \"stopwords_removed\")\n",
    "stopwords_removed_dict_pos = creating_freq_list_from_df_to_dict(pos_viz, \"stopwords_removed\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 361,
   "metadata": {},
   "outputs": [],
   "source": [
    "neg_viz = pd.DataFrame()\n",
    "neg_viz[\"stopwords_removed\"] = negative_df[\"stopwords_removed\"].copy()\n",
    "neg_viz[\"stopwords_removed\"] = getting_data_ready_for_freq(neg_viz, \"stopwords_removed\")\n",
    "stopwords_removed_dict_neg = creating_freq_list_from_df_to_dict(neg_viz, \"stopwords_removed\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 363,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAmQAAAHaCAYAAACuOVUkAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjEsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy8QZhcZAAAgAElEQVR4nOydeXhcV3nwf2dmNIv2ZWRJ1mrJm7zbceI1sbFjJ6QhTsgCAUJSoCxpSwtfA4TSj5Q2rE1bUih8QMlGQpqFQMA2SQixs2DL+77Ilm3ZsvZtJM1oRrPc74+76Gp0Z7RYjpJwfs+jZ3TPds89955z3/ue97xHKIqCRCKRSCQSiWTysE12BSQSiUQikUj+3JECmUQikUgkEskkIwUyiUQikUgkkklGCmQSiUQikUgkk4wUyCQSiUQikUgmGSmQSSQSiUQikUwy7ymBTAihaH8V48x/Tsu/dkIrJgFACOEw3aOSya6PxBohxPXaPToxCef+rHbu37/d5x4vQojZWp2Dk10XK4QQzVr9lo8j79Na3q/EhV/SNQsh3KaxoHA8ZbyTEELs1K7lw5NdF8nlI1F/mChGJZAJIR41dR7zX48Q4oAQ4nvv5BesEGKREOIBIcQ9k12XiUK7Hqt74hdCnBJCPCaEuGqy6/leQgjxktbGzyRJs8p0L36VJN0yU7pFl6fGk4sQYo4Q4jtCiD1CiFYhxIAQolMIsVcI8X0hxJWTXcd3GkKIH5ueiy9Odn3GgxDiWm18unGy6/JuQQixUQjxv0KIs0KIfiFEnxDitBDiNSHEg0KIDUKIlLg8Xq2dvzZZ9ZZMLGPVkIWBFu2vFUgHFgL/ABwWQqye2OqNmZPaXzgufBHwdeCeEfLXafkDE16zy0eMwXvSAjiB6cDHgR1CiL+fxLrFo5D4Hr0beF37vSZJGnPc1UIIMUK6buDQpVbsnYQQwimE+DFwGPgScAWQB/ShjhlLgM8Du4QQm4UQnkmr7DsIIYQL+JAp6O7JqssoCDHYl+O5FnW8TSaQxUz5IxNeu3cJ2qzBE8BLwB1ABeBAbd8KYC3wVeBloCouuxe1naVA9h5hrALZnxRFKdT+ClAH14+jvlSygWcnc3BVFGW29ndxnPnXa/l3TXTdLiMXTPekEHADq4ADqPf3ISHEvEmtoYaiKFHTPWqZ7PqMg+3ab4EQYlaCNFdrvy2oA2Z1gnS6QPaGoiixCarfpCOEcKK+XD4DCOBJ1OfRpShKLuACZgH3o37U3QBkTU5t33FsQh1HXwbqgQXvVO2poihntX68cJz5B0xjQftE1+9dxD8BH0P9WH0YtW+4FEXJA1KBZcC/AOcnrYaSt41LsiFTFCWgKMoTqF+7AIXAzZdcK8m40YSeP6HehzDqPf7Y5NbqPcMuQLeZGaYlE0LYgJWoGtb/lySdQBVSYFDr9l7hO6hf9THgI4qifExRlD8pihIBUFRqFUX5NuoX/1OTV9V3HLpG7EkG2+WdrCWTXAJCCDvw19rhvyuK8nda34iBIbTuUhTl/wKVqDM4kvcwE2XU/wzqAAzq9MQQhBAFQoiHhBAnhBABIYRPCLFLCPF/NDW9JUKITUKILUKIFiFEWLM/OSmE+KUQ4kMW6YcZ9QshFOAR7XCNhc3VWlPaYUb9QoifaWHPJWsAIcT9Wrp9CeI/IIT4jVANbAc0m5rfCiGuS1bueFEUpR6o1Q7nJEsrhLhJCPGiqW4t2vEGi7S6PeHTI5T5T1q6XaawEY36hRAZQoivaXZHPs2eolazOSq2SL9dK+/TFnFfMZ3vgxbx/6bF/SzZtegoijIA7NQOraYtF6Jqe3YCr2lhV1ukmw/kaP9vt4hHsxn5jXYvBoQQTUKI54UQltOlIs5IWggxTwjxCyFEg9Z3no5LnyuE+E8hRL0QIiiEOC9U+6Wi5K2QGCFEOfA32uG/K4qS9BlRFKVPUZSPomoTx3KeO4QQLwsh2oUQISHEBSHEE0KIBQnSj7hIQYywmEAI4RFC/LP2LAa1+/ELIcTMsdQ9yfkLgeuAfuAFVKEM4CNCCMco8t+tjal+bZx8RQixcZTnXqWNs11CtV3aJ4S4V4iE0+2WRv16GPBlLegzFuNtoZZ2RKN+IcRMbfw9p7V5pxBimxDiHqF+/FjlMYzrhRBpQoh/Md2zFiHEk0KIygR53UIdC38uhDgkhOjQ8p0TQjwuhBiXNjAJU1Gn8gF+lyyh9qFtmHkIIXYCx7VDl0U7DzM6n4AxZZEQ4lktf1AIcUyoY6zTIu9bWr5PWMR9zVTuTRbx/6nF/dgiziOEuE8IsVuoNuwBIcRxodqxT0lwHUP6ttZX3tCeJ0UIcX1c+jH3By3fDCHET4Rqw92v9cVzQog/CiG+LITITZYfAEVRRvwDHkVVqW5LkqZFS/OTuPCrgA4tTgF6UAcd/fgAMMWivAdNaazyNVvk0eMqTGHNgE8LH9COzX8rTWnPaenWmsLWaWH9QGaS6z+kpfuHuPAU4Bdx1+KLO/7uaO5DXLkPaHnPJUlzVEuzOUG8E/jlCHX7ZlyejVq4H0hPcu5jWrq/N4U5TOWWWOSZi6qa19OEUe2O9OMOYHlcnm9ocU9alLfVlPf7FvG7tLi7xtDu/6zlqbeI+zst7gHAg2oHcsEi3d+Ynmm7Rfz3TPWOAp2oHzx62Nct8rhN8R9lsK/4ULV6T5vSlgBnTekDpnZuBD6t/X9ijM+kfi9CQP5Yn2mtjM9qZfzeIs4R97xGgK64409Y5Lt+pOsZ4bxZwF7TeULavdPb96Pa/8HxXLN2jv+jlfG/prADWtgHRsj707jnpUt7XmKoU8fNWtxyi7wf1/Lo+bu0dlRQhcKntf+/Epdvdvw1o9quNpuepQDDx9t8i+e10KJeH9TaWU/TjToe6MdbAI9Fvp1a/OdQbRj1sTtgytsKlFnkvc2URtGuw/zOGQDuSHAP9PN+eAz3vNRU9kfH+LxsBtpM+ePb+W8meEz5sKkNu7W20OO2A6lxeb+pxT1mUe4rprwPWcTv0+LujAsvNN1T/b72mI7bgCuS9W3gJxZtcP0E9IflDH1XDWjtZH6e1o54X0d58x/VCtyWIN5jurnfNYXnoA7wCqrAcqUWbtce/k4t7pW48ipMjfJNwGuKmwLcCvyPRT30C6+IC78nWf1N6c7FNxyqFvGiFn53gnxztfgYcYIG8B9a3FngTjQhBtX+7tMMCkB3JqubxTkfIIlAprWh3mn+K0Ga/9Li61CNic11+6zpYb/dlMfO4ABvOYigaor0h77IFJ5QINOeFV0Ye04rw67FVaJ2BkV7njJN+a7VwhviyrNrbdur3ZcDcfEZDHa0YYNzknbXBXQFKI+Le04LX68d79COp8Wle4bEL/97TOU/BORq4fnAj01xt8XlMw+evaiDXrUWJ4Aq0/+vMziI3wAILe592nOqDyRjFcjeYBT9bIQykglG+jMfRV0skKaFlwG/ZlAoWxaX71IFsidM7fpRwKGFLwb2m9rrUgQy/YPuJlPYfXp/SJLvk6b7/iCQpYVPRRVegwwKFfEfM9UMCj2/059nIA1VyxUzXduIApkp7tta3I+T1DuhQKaVrdf5FWC6Kc9fMziu/cCiXF0w6gJOoY4PNu3vfQy+jx63yHsdqnC7lsF+J1DH0h8yKKRZCZDjEcgE0KTlO43WX8eQP+E9iEt3j6mtxzumdAN/AuZocS7gr7TnSwEeTtDnzsWFO7Q21N8te+Lisxh890+Na6s/Mih43cLg+2E5gwqAC0B2gr7dq5X9FbR3CKrNpncC+sOftPA3gAWm8DRUpdT3sRAWh92rUd74R0kukOlf/Apwqyn8nxjsHFYP8UZTvnWm8Du0sONjfED1sioSPJCW9TelO4eFJAv8uxb+UoJ8/2pVPjCDwS/WygR59Ws9MsZrfSDBA28HVqC+KPT2WGaRf7b2gHUQJ1iY0nxEyx8vzDyshSfSvOkD8h8sOqNep3iBTM/zHJqAEBcvUI3FFYZq3VIZHKCrTOFLtbAXUb+qYkCOKV4fMM6Osd09pvPdFRfXjPoVrwsK+lfp3XHp9EH4fot7V6/FPZLg/L/S4k+a24mhg+dxVMNgq/wbGPx4WGkRP8d0fWMVyNq1fMO0kWMow1IwQh04/Vrc1y3yOYAaLf7luLhxC2SofVhv12EvW9QPRP3DclwCGapgp2jlOE3hJajjRwjtJRqXz8bgR8ww4UeLf91U/3iBTP/IOWQ+ryn+X015306BTK/XccBtkffzDArfZXFxumDUi8W4xqA2sw+wjfE+6fX6skXcmAUyLd/nTO0QA3YD/4k69lq+M0ZzD0xpJmpMuYjFDJGp34TN95GhH7zlpvDlWtivtPsbYegH9o1a/Km482ww1WWtRT1KGBTyvpqgjgrwf0dxf8fUH1DfTfq1LhzL/Y//G7cNmVCpEEL8A/BdLbge+K0p2W3a788URWmOL0NRlJdRtQigCiY6PdpvlhAidbx1nEB0A9v1CeapPxyXTufjqIPirxVFOZOg7F+hDrhzxfjsd0qFavvVLIRoRv2y/BOqqw+ABxRFqbHIdzfqg/QrRbU3s+I51I62UAiRbwrXr3ODECLPnEGbZ0/UHsm4W/v9D0V7ys1oYb/Uz2sKD6BOJwGsMWXR/9+G+lISDLXn0uMtbbgSoShKP7BHOzRsL4S66rIA2Ksoil8LfkP7vdqUbgaq6t3q3FehantA7fxWPKD9zkTVIlrxsKIooQRxep/crqiLP4agKMoxVBumMaHdd90urnOs+UfB+1GF737UD6QhKOqigQe1w2uFEDnxacaJ3l7nFAubOEVRWlG1KpfCPdrvs4pqp6iX3YD67DoZ7FNmlqFOe4EqBMXXLQZ8y+qEQrVL0xdgPWQ+r4l/QxXO3zbi6vVviqJYOZ79b1QtiR11atOKXyYY136t/aahar7Ggv5uW5U01RhQFOVHqEJZJ+oYtRTV9OFJoE4IUafZaY3Xe8FEjSk/UBSlxyL8Z6hTwOb7hqIovahKAUg+LtuB1Rbx8WOj3g/fVBRlW3wltL6i2wLfER+vMYCqqRrGpfQH7d3Uqx2O2wYXxm7UbxjFo0rzZ1G1AB7Ur/6b9QvRDP10dwuvJSnzj9rvElNYDeoDWoTqS+vTQohpY6zrhKEoyh5UA3k7cTdbCLEMdbVYGFWAMbNS+73NLDTFCVANqHZmMDi4jgUbqiCg/+llBYEbFUX55wT59Lp9KEndzmvXPKRuiqLsRJ3mTAFutyi3HFXIfH40F6DdW11I+VWS+ugv4vh20juvVcffPor4saLnMRvDGm4sTGFvoX41WaUzC3Y6eh+4oCiK5YoqRVEOoWqizOnj2ZEg3Jwn2XWPp00uN3q992iDvRWvoba3QNU6TeR5L0t7CdXZ553aodUHjG7c/3GLOL1u9YqinEtwCn0aOZ5ZqAIuJKi/oijdwMEE5V4uzPWyfG9owre+OjlRH9idIK8f1ZQBBj8gDMSgs9WdmtF3xPTO0z8Ip47iOkaNoig/Rh3TPoxq43SAQT+NlahC9c74j99RMlFjyrYEeSOo45xV3okcl/WyRyNLzLNaaIA64+azCIdL7w9btd+nherI9yoxisU48VyKY9hm1JfyK6j2HHMVRTlgSptrKj+ZX7AG7dfQwCiK0gXchTpfuwDVhcAZbVXIY0KINcOLuezonfHOuHD9+PeKosRrBnRpOZ2hQlP8n95O49EG1iuKIhRFEahf0rOBH6Gqm38sEm8jpdctY5x107UFidpjS5KHP1FdQJ0CSlQXfQCNr4s+OK8Bw/3E1agD737iOr6mdV2qhY3nZaqfb6YQokD7X9eCGQKZoigdqGr5GWJwJZkukO2w+ArT+8BIfvT0+PwE8W1J8up5GkdR/qjRvhK7tMORVxONnRHbRhPU9K/4RG0z3vNOaHuZuEE7h64Ni+c51I+bZUKI2WOtm6IofQwKIFZ5k+bn0q5tPJjrNab3RhyJhHYYdF0T7/l+IWp//Tqq9jEHdZq8FfWdpz/faUnKHheK6kLqfxVF+YyiKIu1c9+MuvAI1PfgD8ZR9ESNKcnyJ8obPy7bUbWLXajTgvHjcgaDgld8XxjNdejPhB0LYZvRjYswvv7w96gfAVmojnxrgB4hxB80hVJCbxJmLsUxbJGiKNMVRdmoKMr3NCEqEaOqjBlFUbagqpQ/jWoE3YiqRfk4sE0I8ZOxlnmJ6F+qK3QhR3vx6xozq69bvX3/TheaRvjbdikVVBQlrCjKSUVR7kWdRikBfimsl4jrYX89yrq9GZdfb4+rhebCQutwusZsLNOV5vqljaIu0+Pyv4lqa1MuVNcLC1Btjt5UFCWmqE5oTwKLhBCZqFq8FOBikqnkZOjng0EB6xpUTcRbFmnj00FyQXDM/SWO6MhJkpJ0eXcS9GX4E+0ewMylts3lYLztBYNT9SVATMS5L0B9eenXbKUlu9z1u5S8l4r7bT7fY6jOnHehmkWkK4qSpShKgaI63b5LS3fZ20RRFL+iKL9BtQfWhZPbNKFlPFzOfpOoPd5AnUmr0t4Ri4FM4HVF5SKqUucKIUQ6qrBmR1UyJDKjuZTruNRxERJcq2a6sAzVXvUHqJo0F7AeVaF0yPTxnpDLubm4vqQU1CmsROj+qIZJr4qi+BRF+amiKB9SFKUYdTWjbq/xV0KIv5iw2o6AoiinUG2VzDZSa1G1O35U4/F4dP9KSf2AXSa+jPplvJzBgcTMJdVNUZTjqA+duT3Wo2q4ehjBr06CuoyrPpptg66dXcNQOwWd7QzaK1zKdKWuidHPd4022JQDxzStmBldINMF1wrt2EoboveBZP0FQPfHluyLLxF6nmTTLuO1g9CnE1bE2RxOBCO2jfayyoxLD4Nb8yR7wSfaLeCytZc2BTWWMeyuuI+rEesmhEhjsE3MmNvncjwL48Vcr7KEqZK8N8aDUP3JLUSdBbpRUZQ/mGxBdUZ8oU40mh3go9qhA3UKcyxM1JgymmdkSF5NSXNYO7yGxOOyA/UjOdm4PJrr0J8JfSHdWLjk/qAJmS8pivK3iqIsQn0X3ov6Hp6JaoOWlMsmkGnTMUe0w/clSbpO+7V0qBpX5jFFUT7NoHPO0U5d6oLhpX7Z6Fqfj2i/+vTcrxXVuDwe3ZbnAyJuY9jLjdYZfqgdPmAxn63X7abxzHVrJGqPFxIY4ybiNIM2DImMdEfCrB636tgjxY8Vsx2ZXp6VkPWGKZ2uHTM7mDWj94FckdjJ6QLUr3hz+rGg50m2H+d4TQL+B1X4caK6bBgVIzlc1NDrPSfBwhpQxxmBqqncbwrv1n6nJtAWAyTa6Fw/r5WDX53xttedqG11GnWKJdFfPupHTgmD46W5brpm2IqrsR73zHv2JnIMmsX4tJ2XMt6a62X53tDGK73O4+kDVugv84uKoiQSSq6doHONFbNgaDZzGE07T9SYYvmMm6YhE+WdqHFZL3ttgvrBYN84ksAoPxkT3h8URenQFm18XQsacZy4nBoyGDRyv8dqBaFQPUmv0A6fMYVbGeSZ6dd+R6u+1O1KskeZPhFPo3aC+UKIxaj+0CDx9NxjWvqpqHv3JWQCV4WZeZjBTWrjt096FPXFVYpqAzieuulOOhdr9he3aOFj2g5Hsz96TDv8W5F4n0h9da+VNkPvxGtRO1QvQwcIPf561JVH5rDxoA8k8wDd2/Qb8Yk0Y+sGVO/8m7TgmgQC6y4G96z7aoLz6p27lvEZXD+r/a7VFqQMQWv7W+LDR4M2zfDf2uH/EUJYrQw0nytdCPELRqd52II6YLqBL1qU5QD+UTv8Q5wJhb68PgV1tWZ83jkM3sN49DGsUggRv4AFIYQX+NQo6m+FPl35vKIo3Un+2hnUON9tyl/D4PMyrA9rgu6X48PBMMbWV9N+McEH4xcZ3xTRuMdbrV76SsgvCCGstJr3ogqpUUa5cGgU6HZ2JVbjnRDiCgZX+k0IQvU6P5oVm/oHby9Dt0/S29mZZBXmRI0pf5NguvQTqP3XfN/M6GPs+1A/DuIN4/X4G0hu16v3wyUizrM+gDb7oPfDZ+LjR+JS+oMQwq4JpokYvbyijM5XyqMwsh8vi3xmx7AHgaXKoG+UW0nsGPbvUH1OfYShjkWzUR8q3QntDXH5dB8hFXHhui+hMBY+uUzpzpHAz4kpje6cTvfc3YbmKDJB+odM9fohJt8yqMb+G1AdT/4hURkJyn1AK/PcCOl0L94nifO7g7oEWK/bw5gcmGp124i6y8AwZ5mmdLqfI709mrHwPq+lTeaHLJdB7/EtqNOs6ab4MlR7wgPAxyzKzmWo5+ktFmnqTPHDdnoYY/ubzxe1uiZT2l/GpfvXJOXebarjQ2i+01C/YEfrxHGYzz9TOrNj2EZUAVV3DLsGOMM4HcNqZThN5ceAx1E/uuym889EFRRa4utLcgetXze1430M+nsrRR1MFSwcw2ppfqPFn0Wdxheo49D7UZ1JdiY5r+4YtgdVq6U7hl2kPfdjdgyLOjWv36+rRpH+Vi2tH8gwhZsdw/4Lgw4vi1DtPEfrGPZFNJ9eqEbr92ntPB7HsB9gsB9PS3A9o3UM+zJDHcPeSxKH14zCHxgWOxegjk0tpnNOMz3Pd6CO87qfvWH9YjTntcjj1fK8ibqjwoy4frTM9FwrWOzoYqrTvZd5TOnW6lltqt8nTffp4QTnzjeVoQAvWqSpN8U3JCgn3jHszWjvM62dRuMYNuF77FL6A6ptex2qw9m5pnrZUZ0N634nhzkjHlaHUT44jzIOgUzLexWDg50+qJm3ozhI3NZJqCsWzDexj6FbpCjA/7M4lx5XYRG33RTfgSp8nWNopzzHyALZp+Lq8d8jXL8dVWtgztPD4PYmethrY2zXBxidQDaLQUEgfisKB4NbSSSr2ytJyv9sXH7Ljmk6n57OauukGcAJU5oo6oATiDtHoh0CDpnSfMki/uem+P9NVM8x3APz+c4mSffXcfXfMEK5/xbXBvHbnDxgkWdUApmWtpShWyf5mYCtk0zlu1A/BKJx19HB0C1XFFQ/fG5T3pG2TnralDfM8K2TPpmkH5jT+hkch3YxuHXRaLZOCjK4w0YP49g6CXUTdgVVezHMEbJF+lQGHeP+ZVzcz+LaQH9eRrN10t1x96mTwS2KxrR1UtyzqL9kY6iCzjntb7RbJ93K0K2TuuKenZG2ThqTQKaFf5ih/cxnqkMdg4LNRAlkuXFtr2jX2BFXD0W7D1bOSr9jStNraufPTfCYYt46qSvu3rxO3NZJceUcM6X9okX846b4YVvgmdIVoppB6WnHvHXSKO7JmPuDVq/4e9jOoLNYBVUhknRcVhSF0T44j2qFbhvtw2bRkP+uVapfe3B2A/+AtSfmKaiCz9PazezSGqUR9Uv3pgTn0S++wiIuD1VDdSbuYVprSnMuPsyinGwGt4tQgNWjbINVqF/a57T8Qe3/X6GunsoaY5s+wCgEMi2t/pV1GGsv+FejasLi6/Y86lRnsj088xg6UA4b9E1pkwpkWhp9e5TXtIc6jNrpDqBq9K4mgYdtBreCUrDWktxtiv/r8TzLSc6X8OsHddWnns7w5D9C2RtRv9JaGdyD9VfAmiTtlvAFZ5E+F9UjeL3WH86jfi0XMQrP9qNsn7mofgr3mu5lF6r/tX/Hwqs1oxg8Ubf5+gODAl6D1reSeslGFcr+F3XgDqKORw9obZf0vKi+Fv8ZdTueEOpX75Oo2r5RbWFjKsvO4HZso97VQOuPluMwqnPZXahCW5fWPhu1uIQCmRa/ClXA6dby79f6oGAcApkWr2931sDQPSgLR/u8avfrf0zPaDfqh/VfkngMGLdApsVdC7yK+o4KaM/It1GF8oT9YjTnTVCXAlRN0xOo43MPqkDQi/ruexRtK7YE+R2os0aHGfrh+hWLtJc0pqBqhJ/T8ge1+t2PhaAYV86PTOVYCUxmLe9nRijLgzo9v1dro37Uj/h/w2JPbC3PqAWy8fQH1P78AdT30y5UOSWMKtDvRJ0NGHHMVxTFmKqQSCQSiUQiAUCz39Ptn4oUi912JBPL5Tbql0gkEolEIpGMgBTIJBKJRCKRSCYZKZBJJBKJRCKRTDJSIJNIJBKJRCKZZKRRv0QikUgkEskkM94tcySXjpSEJRKJRPJOZTI3lv+zRE5ZSiQSiUQikUwyUiCTSCQSiUQimWSkQCaRSCQSiUQyyUiBTCKRSCQSiWSSkQKZRCKRSCQSySQjBTKJRCKRSCSSSUYKZBKJRCKRSCSTjBTIJBKJRCKRSCYZKZBJJBKJRCKRTDJSIJNIJBKJRCKZZKRAJpFIJBKJRDLJSIFMIpFIJBKJZJKRm4tLJJcBRVEIh8PEYjHsdjs2mw2bzYYQb/9+vYqiEIvFGBgYIBaLIYTA6XSiKApCCGKxGJFIBJfLhd1uJxqNEgwGiUQipKWlGWVEIhHjWgDsdvukXI9EIpG8F5ECmURyGYhGoxw/fhyn08nAwAD9/f3Mnz9/iIATjUax2+3GsS7c6ALURAk8kUiEw4cPEwwGSUlJIRqN0t3djcPhQFEUUlNTcblcVFdXk5aWRiAQ4MiRIzQ3N5OTk4OiKKSkpOBwOAgGgwSDQSorK6msrMThUIeQl19+merqakpLSy+5vuNBF4BTUlKkkCiRSN6VyClLieQyoAtciqIQCARwu92G8ALg9/vZtWsXFy9e5PTp05w6dYoLFy7Q1tbGmTNn2L9/P/39/ZdUh3A4zIkTJ6irq6OlpQW3243b7TY0ZE6nk87OTvr6+nC73SiKAkBKSgoejwev12sIjN3d3Xg8HmKxGC6Xi4yMDCMOYOfOnbS0tFxSfS+FcDjMk08+aVyDRCKRvNuQGjKJZALRBQKHw8GiRYtQFMUI06cHQdWgtbe309LSQlNTE6mpqcycOROv18vu3btxOp3MmTNnVOccGBhgx44dlJWVMW3aNCO8r6+Pb3/721RXV/OFL3yBlJSUYXl9Ph8ejwen02mEud1uFi5cmPSc8VqoSCTC3r17qampoaioiA0bNuB2u9m+fTvHjx+nuLiYa6+9lrS0NPbv38/+/fvp7OwkKyuLzMxMrr76alpaWmhpaeGaa65h165dlJSUsHfvXjo7O6mqqmLt2rXEYgx0CkkAACAASURBVDFee+01srOzOXToEPPnz2fmzJk888wzvPLKK3R1dVFcXMztt99OW1sbL7/8Mt3d3UyfPp21a9fS39/PuXPnqKysNDSRiqJgs9nw+/0IIcjKyiIjI2NUbS+RSCQThRTIJJIJJBaLceHCBSKRCB6Ph2AwSF9fH6AKMZFIBKfTSXFxMevWrSMSiRiCyJw5c/B4POTn5yOEwOPxjOqcfX19PPHEE9x1111DBLJ4rKbysrOzR502GX6/n9bWVjZs2MDvfvc7CgoKiMVi7N69mw0bNrBv3z42b97M6tWr2bp1Kxs2bGD//v309fWRkpJCXV0dp06doqenh+nTp7Nv3z4qKyupqKigsrKSzZs3U1JSQnFxMZs3b2bNmjWsWLGCzMxMsrOzWbZsGceOHeOmm24iNTWVaDTKtm3b6OvrY/Xq1cY1BQIB6urqUBQFu93O3r17CQaDeL1e+vv7yczMZNq0aSxevHhM1y+RSCSXihTIJJIJJBwO89Zbb+FwOFi2bBl1dXWGsXxrayudnZ2kpaWRnp5OWVkZNpuN7OxsZs2aZZThcrmM/6PRKMeOHWPr1q20tLRQXl7Opk2bKC0tJRKJsH37drZu3cpLL71Ed3c3L7zwAnl5eXz+8583yujq6uKxxx7j1KlT5OTkcMsttzBr1iyEEITDYXbt2sXLL79MIBBg9uzZ3HjjjUyZMgUhBPv27WPPnj2sWrWKl156iaamJhYsWMDtt9+O2+02zpGWlsY111zDsmXLOHnyJPX19TQ1NXHFFVdwxRVXkJGRwWOPPUZ1dTUDAwNkZmaSl5eHx+OhqqqK+vp6AHJzczlx4gTZ2dl4PB6am5tpbm6mvr4en89HcXExbreba665hqlTpxrnnzp1Kunp6VRWVmKz2YhGoxQWFnLgwAEKCwtZvXo1TqcTr9drCHJ9fX2sXLnSuD9+v3+YtlAikUjeLqRAJpFMIE6nkxtvvBGbzYbH4yEvL8+wtYpEIgghEELgcrlG1EIpisLx48e57777KC0tZcaMGezevZt9+/bxjW98g6KiIrKysgzj+pkzZ1JdXU16ejopKSmEQiEAtm7dyqpVq6ioqGDHjh0cPXqU//7v/yY9PZ3t27fz/e9/n8WLF5Ofn89vfvMbjh07xr/8y7+QmprK+fPneeyxxzh8+DBTpkwhNzeXQCAwxH4M1Cna1NRUhBDYbDZjKjD+Gr1eL9nZ2Tz77LOUlJRw7bXXEo1Gee2116iursbtdnP8+HHmzZvH888/T1paGuvXr6epqWnIdLC+OCIRNpuN5cuXk5uby5tvvslPf/pTPve5z5GTk0NJSQkAmZmZFBUVAar2TNqfSSSSyUQKZBLJGOjr6yMWi9Hf34/dbic7O9tYfdjT02PYIOlps7KyEELQ19eH3W7H4/HQ29tLR0cHHo+HjIwMFEUx4vv6+khNTSUjI4NYLMYzzzxDRkYG3/zmN/F6vZw/f55PfepTbN68mc997nNcddVVFBQU8Oijj7Jx40bWrl1r1FUXyMrLy/nGN76B1+vlzTff5P7776euro6Kigp+/vOfM3fuXD7zmc8ghKCkpITvf//7HD16lCuvvBKAzs5O1q9fzwc+8AHD5YWVMGkOczgcLFmyhL1791JaWkpNTQ1VVVV4PB78fj/BYJCuri4OHDjAihUr6O7uJjMzk8zMTJqbm3n/+9/PwYMHKSoqoq+vj/Pnzye9L+np6QAcPXqUKVOm4PV6OXfuHC6XiyuuuILnn3+eYDCYtM5ydaZEIplMpEAmkYyB559/nkOHDmG32wkEAtxxxx1ceeWVvPDCC+zfvx9FUVixYgVz5szhySef5Mtf/jLp6ek8/vjjFBUVMX/+fJ566il8Ph8ZGRncc889ZGRk8O1vf5vKykrOnDnD8uXLufnmm1EUhcOHD7NkyRJyc3MRQlBUVER5eTkHDx4cdZ0XLFhgGKnn5eXhcDjo7e3F5/Nx4sQJTp48yZEjRwBViEtNTWVgYMDIX1BQwKxZs4ZpxczMnj2bnJwcAMrKyrDb7VxxxRX09vby4osvUlBQwE033URtbS0ZGRl86EMfIhQK8Zvf/IaysjKmTp1KXl4ehYWFzJo1i6lTp3L99dezbds2Ojo6WL9+PV6vF6fTybx584YtUMjIyGDDhg1s3bqVGTNm8IEPfIDW1lZqamqw2WzccMMN5ObmjrrNkjEwMEBPTw8ej4f+/n6ys7OJRqPGatrR2v5JJBKJGSmQSSRjoKenB7/fz7e+9S1ef/11XnzxRTweD6+++ir33HMPoVCIn//851RXVxv2X5WVlRw/fpx169bx7LPPkp6ezi233MIvf/lLtmzZwi233EJdXR0bN27krrvuAlSnq5FIZEx1SzTllpGRYWh/zL7O9CnFj370o9xwww1GervdbkzlgToNa7YXs+K6664jHA7T2trK3Llz8fv9HDt2jCVLlnDTTTcZK0yPHDmCoig4nU46OjqIxWKkp6eTn59PXV0ddrud6upqDh06RFZWFh//+Mepr6/HZrNx5swZXC4XXq+X/fv3s3TpUsPezm63s3HjRjZu3Gisnly1ahXLly8HMDR7uisSIQTRaBSbzTbEHQmoQumZM2dwOp2Ul5cPiw+Hwxw/fhy3283Zs2dxu9309vbidDpZvnz5pPlik0gk726kQCaRjJEFCxaQnZ3N1KlTCQQCNDc3c+jQIZ599lnsdjvFxcW4XC7mzp1rOGTNy8ujoKCAY8eOEQ6HuXjxIoFAgLlz56IoCunp6SxcuNCYegNVeFq0aBGHDh2is7MTr9dLU1MT9fX1bNq0yUina64GBgYs7bYSkZ2dzcyZM7lw4QKVlZWG9/5wODxMCBmJN954g46ODux2O6WlpaSlpVFbW0tra6uxalT/3+fz8R//8R9Eo1Fuv/12CgsL8Xg8xmrKVatWAbBt2zY2bdrE0aNH8Xg8TJs2Da/XSyAQMFaHBgIBfD4fLpeLnJwchBCGMJiZmYnP58NutzMwMEBWVha5ubn09vYSCoWw2Wzk5uYOET4Bamtruffee6mqquKhhx4iLy9vSHw0GsXhcBCLxfB6vdhsNrKysgiFQiMKrhKJRJIIKZBJJGNE18rogk9aWhpLlizhvvvuY8qUKYbLi1AoxCOPPEJbWxsLFy4kMzOTkpISFixYwC233EI0GiUlJQWfz4cQYtg0nM1m44477mD37t187WtfY+bMmRw6dIj8/HxuvPFGI116ejrz5s3jkUceoba2lqysLG699dYRryMrK4tPf/rTfPOb3+SrX/0q5eXldHV14XA4+MIXvjCmqbdFixYRDocByMnJwW63U1BQgMfjMWzsDh48iM/nY/bs2TidTqLRKAsWLMDhcJCbm0thYSFTp06lq6uLSCRCRUUFb731FsFgkMLCQmOBhMfjoba2lvnz5xMMBjlx4gQVFRXGlGkoFOL06dNEo1Gys7MRQtDd3U1xcTHp6ekcOnSIvr4+qqqqSE1NHSLExmIxDh48yNGjR8nNzTX8xpnJzMxkxYoVxrFZMxkKhYwdEXT0hQ4SiUSSDCmQSSSXSFVVFVOnTuXRRx/F6/WSl5fHBz/4QaZNm0YoFOLUqVPcfvvt2O123v/+9/P8888b03Xvf//7k/oCmzlzJt/5znf47W9/y4ULF1i4cCE333wzZWVlRrrMzEy+/OUv89xzz3HmzBnD6anT6WTlypXk5eUZ059paWlcffXV5OTkEIlEWL58OQ8++CC///3vOXPmDFlZWSxevNgQKEpLS9mwYQNpaWmGwAUYe2M6nU6EEBQUFBhCRzgcpr+/n5KSkiFC6/r164dsF6XvGCCEYPXq1aSkpPDhD3/YWKGZkpJCMBjE4XAYfzabjTVr1iCEIDU1FYfDQWdnJ5mZmVRUVAAYrj10TZYuMOn7cHq9XhRFMco009/fz6FDh8a0S4J+jfoUdSAQwOVykZmZSWdnJ+Xl5RQVFclFAxKJJClCLvWeNGTDv82YPbNbvRzD4TA2m41IJEJKSorhxNVmsxEKhRBC0NDQgMPhoKSkhJ6eHs6fP095eTnBYJDjx48Ti8UoKSlh5syZCCE4ceIE58+fZ/78+YCqQTl8+DA+nw+bzcaiRYvweDw0NjZy1VVXGYJQa2srkUgEm82Goih0d3fj8/koKioyXGaYBZecnBzLacbz588b2zPl5OQwbdo0GhsbaWhowOVyUVpaytKlS0fUhoVCIQ4ePEgsFsNms5GTk0M4HGZgYIDs7GwuXLhAZmYmdrudWCxGSkoKs2bNuuyaoUAgwObNm5k3bx7V1dWXXN6FCxf42Mc+xq5du9i4cSM/+9nPyM/PH1XeWCxGfX09hw8fpqmpiYqKCrq7u1m+fDllZWVSIJO825AP7NuM1JBJ/qxob2+nvr7e8GUVi8UMb/qRSISioiJOnTpFZWUlPp+PSCTC7NmzaWlpoaOjg/z8fCKRCN3d3aSlpdHf38+rr75KWVkZBQUFw7Y7KikpoaamhubmZux2u+EMtaioiMOHD3PgwAHC4TDr168fIlD98Y9/pL+/n1mzZlFbW8usWbM4duwYhw8fNuyWOjs7AVi4cKExXRePy+UyVj3q+1W63W5mzZpFX18f+fn5o3KEqtuWpaenY7PZyM/PJxgM4vf7SU1NNfa5jEajpKWlDdFMxZfj8/k4deoU58+fJxAIkJKSQl5eHtXV1RQVFSVdzRmJRNi6dSutra2kp6ezYsUKotEofr/fUtBuampi27ZtBAIBY/smcztHo1G6urpoaGjg4sWL7N+/n+PHjwPQ0NDAU089NcSuT2fKlCnccMMNQ+oqhKCsrIyioiJDcAUst6ySSCSSeKRAJvmzQVEUurq6qK+vJysri+7ubtLT0wmFQrS1tQ1Z/ZeWlkYwGCQQCDBz5kwURaG+vp7MzExaWlro7e0lHA4TCATIzMxECGHp58rtdrN+/XpisRh2ux273W4YzxcUFKAoiuEuw0xFRQXFxcXk5uZSWlpqOIDVV1/abDb6+/uNKbhERvgFBQUAhld78ypL8/FIOJ1OFi9ebGjS4h2p5uXlEQqFcLlc2Gy2YeXqgtiWLVv4xS9+wenTp+no6CAUCuFwOEhPT6e8vJzrrruOu+66i/Lyckvt2sDAAA899BA1NTWUlZXxyCOPkJ2dndBR7KlTp/jHf/xHmpqaWL9+PWvWrBnSVs899xw/+clPaGpqorOzk97eXsNu7NixY3zlK1+xLHfZsmVcd911wwQy/R5LJBLJWJECmeTPBiEE06dPp7Ky0hAo9Je+eZPppUuXDnNy6vV6mTlzJikpKYbrBL/fz8mTJ5k+fTo5OTmWGiF9etMsAOn/5+XloSgKhYWFw17iS5cuxW63G7ZSQMINr0cjVMWnGev0mc1mM+phVYbdbh8Wr6MLwt/97nd54okn6OrqMlaWFhQUEAqF6OrqoqOjgyNHjnDgwAH+6Z/+aVT7SYbDYTIzM4nFYuOaEgyHw9jtdrxeL16vF7/fz4kTJ4jFYkN2QYhnzpw50lBfIpFMKFIgk7wnURTFcNYZCoWIRqMAht8pl8uF2+221OZYodts9fb2MjAwYGi85syZYxiXJ2JgYICuri7Ds7/NZqOvr8/w9q9vdaSfQ4+z2WykpaXh8XhGtc1SKBQiEAgQiUSIxWLGdaampo76Oi8HoVCIH/zgB/z4xz9mYGCAGTNm8LGPfYyrr77aWCxw5swZnnjiCd544w1efvllBgYG+K//+i8qKiqS1js9PZ0FCxaMu2433XQTa9euNYTkgwcPcs899+D3+1m4cCHf/e53hzmUjcVixjRvJBIxNIOAIURLJBLJWJECmeQ9h6IoNDY2cuTIEc6fP09HRwfBYNAwgM/IyCAvL4/i4mKmTZtGSUlJUoEqEolw4cIFjhw5woULF+ju7jZWGObm5lJRUcGCBQsoLCy01Jo0Njbyy1/+kvT0dO644w78fj+vvvoqjY2NuN1uZs+ezdq1a8nMzKS2tpY33niDpqYmUlJSqKysZO3atcZm31aEQiHq6uo4evQojY2N9PT0EI1G8Xg8eL1eZsyYwbx58ww/XTp79+4lEolwxRVXjNnv2Fioqanh8ccfJxQKUVFRwcMPP8yKFSsMIVRRFBYtWsTy5ct54IEHePLJJ9m2bRtPPfUUX/ziF5MuOLDZbJdko6Vv16TT3Nxs3EO3283UqVOHGfWfO3eOc+fOUV9fj9PppKuri/T0dFJTU5kxYwZut9uY9pRaNIlEMlqkQCZ5TxGJRDh48CDbt2837MLsdrthZB4IBOjr66OpqYljx44xa9YsbrvtNkuBRFEUgsEgb775Jnv27KGnp8dwl2Cz2fD7/fT09FBfX8+RI0dYuXIlS5cuHWYkrygKkUgEn8/HuXPn2L17Ny0tLcaemDU1NTgcDqqrq9m6dSvt7e3YbDYCgQAHDhxgYGCAm2++ediUpb768o9//CPHjh3D7/cjhMDhcCCEwOfz0dXVxdmzZzly5AgbN26ksrJyyH6Uhw8fZtGiRfT19eHz+UhPT0cIQU9PD3a7nfz8fDo7O/H7/WRlZTFlypQx3Q+/38/zzz9PU1MTDoeDu+++m9WrVw+zvRJCUFxczL333svOnTupq6vjueee45Zbbhm2UGIi0Keox2Pv1draytmzZ3E4HBQWFpKdnU1nZyd9fX1UVFTgdrs5cOAAW7ZsYdWqVVRXV5ObmzuqxRMSieTPFymQSd4VRCIRBgYGDEFF944erzVqbm7m5ZdfxufzGasJS0pK8Hg8hkDW1tZGY2MjHR0dFBQUJLR9GhgY4M033+T1118nHA6TlpZm7LPodrvp7++noaGB2tpa2tvbeeWVV4w9HK0EvEAgwI4dO/B4PFx33XWEQiFqamro6enhwIEDNDY2Eo1GWb9+PS6Xi71799LY2MipU6doaWkZJpAFAgH+8Ic/sG/fPsMWbcaMGcYqzJ6eHs6cOcO5c+c4f/48mzdv5tZbb6W4uBghBDk5OTidToLBIC+99BIDAwOEw2HDAN/tdjN37lz27t1LV1cXCxcu5LbbbhvTfWtra2Pnzp3EYjFyc3OHGcKbEUIwZ84cFi9ezJkzZ2hsbKSmpuayCGR1dXXG1khjZenSpSxdutRY1Wm2C9SfR33fzZ/97Ge4XC6WLl3KqlWrmDVr1jDHwhKJRAJSIJO8Szh9+jTt7e00NzcD6vZF+urG+HQ+nw+Hw8Hq1atZtWoVbrd7yOrCcDiM3++no6PD2LTbilOnTlFTU0M4HCY3N5e/+Iu/YPr06YYzU12DVltby5YtW/D5fGzfvh2v10tVVdWw8nQXG5s2baKiosJwrvrmm28atmkf/OAHmTdvHkIIPB4PL774IgMDA1y8eJHp06cPKWvPnj0cOXIEIQSzZ8/muuuuG7LiMhaLsXTpUl577TV2795Nc3Mzb7zxBps2bRoihPb29tLf388NN9zAc889h6IorFy5kmAwaEz3lpaWcuWVV475vnV1dXH69GkAKisr8Xq9SdPrU7gulwu/32/sfTnRwsuFCxfIyckZl0BmNQ0ZX7+ysjI+//nP097ezpEjR9ixYwc//OEPycrKYtmyZSxatIji4uIhz6ZEIvnzRgpkkncF+fn5hEIhYyueRIJUb28voPp+KiwsHPbC073DO53OhL67QNWO7d27l76+PlwuF6tXr6a6unrIy1gXmubNm0dXVxevvvoqXV1d7Nmzx3JTalDdTxQWFhouEqZPn86OHTuIRqNMmTLF8Bmmp9W3YOru7jbK0FctHjx4kFAoRF5eHuvXr6ewsHDIuXQt4qpVqzh37hzNzc2cOHGCFStWMHXqVA4cOMDRo0eZNWsWaWlpbN26FbfbTWpqKk6nc4jGzOv10tXVNWYBxufzGe5A8vPzR7XXY0FBgeGlv7293fC4P5FkZ2eTkZExocKeeZWtEAK3201xcTFTp05l5cqVbNmyheeff56amhq8Xi8rV67klltuGbLqV88rkUj+/JACmeRdQW5u7rDVblYvLl3ICgaDHD16lIKCAvLy8sZsXN3a2mpo43JycpK6OdBXW+7Zs4f29nYaGhqM6VCr6zBP2WVkZBjHOTk5QwzY3W63IYiEQqEh5bS0tNDS0gKoWzcl0zxlZGRQXl5Oc3MzoVCIhoYGSkpKWLRoEUIIY3Px5uZmsrOzcTgc5OTkMGPGDEMoS0lJ4ciRIyxatGg0zWdg9s2WkpIyqvug70QAGOcfr0Cm24pZ1aulpcVSkxmP3vbxwjgM9eem2wSmp6djt9sJBAI0Njaye/dudu3axcDAAKtXr+bqq68mFouxdetWfvSjH/GlL32J/Px8+vv7jalxvVyzaxZ9UYpEInlvIgUyybuC0WoNpk+fTn5+Pm1tbRw4cIC2tjbmz5/PzJkz8Xq9xn6GyVAUhY6ODkPbpm8Y3tHRgcPhIBqN4vP5cDqdRCIRcnJyyM7OJj8/n/b2dnw+H+3t7ZYrI9PS0oac31wfj8cz5IWru1DQXXjoRKNRLl68aIRNmTLFcHuR6HrM3ubb2tqM/SezsrJoaGjg6NGjhk1cJBJh1apVlJeXs2jRIn77298SDAZZs2bNaG7BsOvVMbsfSUZ/f7+xStHtdl+SMXwwGLTcIFx3NzIS0WjUsMMLhUKkpaWRk5NDe3s7QggyMzON50UXmNauXUtLSwuPP/44tbW1FBUVsWbNGpYvX86UKVOM+11SUsLXv/51WltbCYfDnD17loaGBiorK40pVd11i8fjobi4mLlz5467LSQSyTsbKZBJ3jHoqxH1/3XtgO70Uxdu9FWEoL4whRDGiz4vL4/rrruO1157jaamJhoaGmhpaWHXrl2Ul5cze/Zsw/N9IsFMd/qq1yUjI4O6ujpOnTpFX18faWlplJWVcf78ecMz/aZNm4xNwgcGBggEApZlW2l6zNdlpYXR66QTi8WGTGG+/vrr7N69O1nT4vf7jf91rZXb7Wbp0qUsXrzYOJcuvKSmpiKEICsrixkzZhjaLd2JayQSwev10tPTQyQSwe1243K56OzsxO12G1rJrKwsMjIy6OnpoaWlxXI3g3iam5sNrdhI2s2R9uLt6uoasim6TiwWG9GeTS/f5/MZQlcgEKCkpIS+vj5SUlLo6+sz0ukuOGw2G93d3aSmpvL5z3+eGTNmWD5vHo+HBQsWkJaWZgirU6ZMoaWlhYGBAaLRKPX19WRnZxttLZFI3rtIgUzyjqGzs9PY27GsrIyWlhZDk9PY2EgsFsPtdnPFFVcYRuknTpygo6OD1tZWioqKWLBgAXPnzqWgoICDBw9y9OhR2tra6OjooKOjg4MHDxqahkWLFlkuDIjXNrlcLrxeL1lZWSiKgsfjMTRjujAihDBWz4GqDdKdx5pJ5jjULHQmI75+vb29hmCQDPOuBPpxIu//ZkKhEJ2dnbS1teH1emltbcXtdpObm0tdXR3l5eVMmTKFpqYm+vr6CIVCrFq1iry8PPLy8pgzZw47d+7k7NmzNDY2UlZWlvBcgUCAY8eOMTAwQGZmJgsWLBjSJikpKYZQG4lEEgq++nWePHlyiDCqo69oHQmHw8Hy5csBjC219IUHiRBCsGDBAhYsWDBMCNO1nXa7nczMTO69914jz7Rp04aUEQgEKC0tpbi4eFTaPIlE8u5GCmSSdwy6J/zOzk68Xi/9/f3k5uYam387HA6ys7OHvEhDoRDt7e3k5uYSiUQIh8MIIfB6vaxZs4aFCxdSV1fHyZMnDaep58+fp7m5mfr6etavX8/UqVOHCULxmqyKigpDuLLSykSj0SH1utwe282+xGbPnm1oe2KxGKFQCJvNNkwY0MNLS0uJRCL09/fjcDhGNLR3u92UlZXR3d3N6dOn8fv9lJaWGsLRnDlzcDgc7Nu3Dxg6LZuXl8fq1avZu3cvPT09bN26laVLl1pqCmOxmLHhuqIoFBUVsXTp0iFp9GdACEFfXx91dXWsWrXKUqhubW2lpqaGgYGBYeeqqqoa5ihXv1a97n6/f4h2LS8vz/h/pHubSKvX39/P9u3bWbRokXHPzLtImNvC4XBQVVVlCNDS2F8ieW8jBTLJO4b8/HxuvPFGuru7ycvLG/IC0o3J419K+jRkvDd3IQQpKSnk5+fj9XpZsmQJjY2N1NbWsn//frq7uzl+/DiKonDrrbcO0UDYbDY8Ho8xXer3+4etoItHURRDS2Wz2S6rOwPz/pYA8+fPN6YdBwYG2LdvH83NzYZG0eFwkJmZabzwGxoaaG9vJysri5KSkiGaGStcLhcpKSmkpKRQXl5Od3c3aWlp5Ofn09DQgN1ux+VyMWPGDJqbm8nLyzOEPLfbze23387mzZs5fvw4Tz75JEuXLmXdunXGtKiuNTp79izf//73qa+vx+FwcNtttw2rmxCCxYsX89JLL9HT08Nzzz3H2rVrKS0txWazGVPdPp+Pxx9/nJ07d1peU35+vqU/NH1/TZ/Px4kTJzh58iQFBQVD0l7Kasienh5+/etfc+HCBfLz81EUxZiSPH/+vGGXlpGRQUNDAx6PB5fLxcqVK6VAJpG8x5ECmeQdhb6RdzyJXkZmrUUidFcX5eXlTJ06lfLycrZs2UJLSwv19fW0tLQMEciEEGRnZ5OamkpfXx/t7e1EIpER96vs6OgAVA2RldPaiUL3oA+qcNDW1kY4HMbpdBKNRgkGg6SmphqG4S6Xi4yMDDIyMjh9+jThcNiYThwJh8PB3LlzDa/0+rVGo1FSU1NZs2aNIbxWV1dTVlaGzWbD6XQaLiWqq6u59957+drXvkZjYyP33Xcfd9xxB9dccw0ZGRmEw2Hq6up46qmnqKmpwW63c80113DnnXdaau+uvfZaHn30URoaGnj99de5//77+fCHP2wsbmhpaWHLli1s3bqVKVOm0NraOsx2rbi42PJ6c3JyWLlyJadOnaKjo4MHH3yQtrY2ysvL9EE3ewAAIABJREFUsdlshn1gWloaK1euHJJ3YGCAgwcP0t/fn7A929vbCQQCpKam4nK5CIfDNDc343K5cDqduN1u0tLS6O/vx+VyGTtLjGQrJ5FI3v1IgUzytqEoCidOnGDnzp2G49ba2lqWLVtGbW0tLpeLaDTK/v37ycjI4Prrr+dPf/oTfX19hMNhli9fztmzZ1m5ciV79uwx9qIcLbpgNm3aNGbNmkVLSwuBQMDQgJkFKN1dRl9fH21tbTQ0NFBVVZVQO3b+/Hk6OzsB1bVF/P6HE4nNZqOkpIT09HT6+vqora1lyZIl5Ofn4/F4WLt2LaDaPOmbmeuUlpYabTGal7zuaw0wfIMFAgHDZs5ut9Pb24vNZjM0ZdFolJaWFrKzs3E6nTgcDu68804GBgZ4+OGHuXDhAt/73vf44Q9/SHp6OuFwGJ/PRywWw+PxcMMNN3D//fczbdo0y/ZesGABf//3f893vvMd2traeOGFF9i8ebNh46eXVV1dzVe/+lW+9a1vcfjw4VG1bVZWFp/4xCfYs2cPx44d46233mLXrl3k5ORgt9sJBoP4/X7WrVvHCy+8MCRvb28v3/ve9wASrgzVd5vYtGkT6enp+Hw+uru7KS4utnRpoQtwEonkvY8UyCRvG8FgkN/97nekp6fT2NhIcXEx586dIzc3l127drFixQo2b95McXExhw4dYvr06Zw+fZrKykquvPJK0tPTeeWVV5g2bRpHjhyhurp6SPn6yzg9PT2pNisajRqG3ikpKZYvz/T0dKqrq7l48SK9vb3U1NRQUFBg7PVoPmdPTw+7du3C7/fjcDiYPXv2ZTXCFkIwZcoUKisrOXz4MC0tLezYsYP169cb04AwXHs4MDBAMBg0rmE8GjzdwSyowktubi6NjY2GyweXy0VaWhq9vb20trZSVVVFeno6aWlp/OVf/iWzZs3i0Ucf5dChQzQ2NtLZ2YnD4WDKlClUVVWxYcMG7rzzTkpKShLWz+12c88995CamsozzzxDbW2tsWjD5XJRUlLClVdeySc/+Unmz5/P008/PWqBTJ8S/d73vsdPfvIT9u/fT2trK+3t7TgcDjweD6WlpUN2TTBTWlrKJz/5yYQCeVNTE4899phxruzsbGN1rhWjWQkqkUjeG0iBTPK2EovFiMViLFy4kOnTp+P1ennmmWeYPn06xcXFRvzSpUspKioiJSWFsrIy4wV35ZVX8qtf/YolS5aQlZU1rOytW7ficDioqKiguLiYtLQ0w/5HXzRw4MABjh8/DqiasPz8/GEvfyEEixYt4sKFCxw7doxjx44hhOCqq64y7I90TVBNTQ0nT54EYMaMGSxcuPCy2/t4PB5WrVpFR0cHFy9eZPfu3fh8PubNm0dJSYkhZIbDYbq6umhubub8+fNkZmZy7bXXDrO5Gy1FRUXGdKzT6cRmsw1ZXaqfNzU11RBQ9bbweDysX7/e0HQ2NjYSDAax2+0cP36cbdu2cfPNNw9bhRmLxejq6iIUChl+4Px+PzfccANXXXUVu3btMtyA6P7gZs+ebWjv/uqv/oo77riDgoKCYcL3W2+9xZNPPsnf/u3fUlVVZbi4mD17Ng8++CCnTp3i5MmTOBwOsrKysNvt5ObmMnXqVJqbmw3XHLpn/nXr1lFeXj7E/5oZIYTl8xaPruULBALGzhQOhwO/329sDZabm2u4YQmFQkQiETIyMujr6xvicFgikbw7kAKZ5G3D7XazadMmduzYYWxePWPGDMrLy5k/fz5TpkzhpptuYv/+/fT29uLxeKiqqhqiQSgqKqK/v59p06ZZvnDa2tpoamriyJEjOJ1O0tLSDK1RMBikt7eXQCBAJBIhKyuLq666KuEWSllZWaxbt47+/n7Onj3LkSNHqKurIysrC7fbTTAYxOfz0d/fj6IolJeXs27duqQaj4mkpKSEa6+9lt///ve0trZy7Ngx6urqDCN8ULVikUjEWIFaXV19SfZImZmZZGZmGsfxHuvN6O4d4klLS2PevHnMmzcPGBSUd+3ahc/nG5Y+Fotx7tw5Dh48aBjC69N9KSkplJaWUlVVRV1dHX6/n97eXnp7eyksLCQYDJKWlsatt95qeT0XLlxg8+bN3HnnnTidTk6dOkVbW5thI1daWsqSJUsMYdbhcJCSksLu3btRFIWSkhKuueYaXC4XqampbNiwIak3/ezsbD7+8Y+PKBA//vjj1NXVGULYXXfdxdy5c3nkkUc4e/YsdrudjRs3cvToUdatW0dNTQ2dnZ185CMf4emnn+azn/3s2/YcSiSSiUEKZJLLhq7JiMViRCIRXC4X+fn5XH/99YDqYR7gU5/6lLHFzcKFC4domN73vvcZZXV0dLB582ZmzpxJcXGxpVZrxowZBINB+vv76e/vH2IQrds5eTweCgsLWblyJdOnTx+yNY1u46OHFRYWcvPNNxsbeff19RkrGHVHoNnZ2cyZM4crr7zS0jv/5cJutzNr1iwyMzPZt28fx48fN4zAza4UHA4HTqeTwsJCqqurL8nzfTIfavFM1P6Tus2c1+slPT2dQCCAy+Wip6fH0M7ZbDYqKipQFAWHw4Hdbjf24xytAFpQUIDL5WJgYGCIvzNFUSgsLDTaTXcdYrfbycjIMNLpWkMd3V9cJBIZUodkTol1dCewX/va13jppZf4/e9/j8/no76+ni996Us0Nzfz05/+lPLycs6dO0dTUxMej4fTp08TDAZH5V9OIpG8s5ACmeSyEQgE2LlzJykpKfj9fpxOJz6fj6qqKtxut7HJtq6B0rcqcjqdZGZm0tHRQTgcJj09HbfbTVtbmzG1aaWFEEKwbt06Fi9eTFNTE52dnYbTVN3fltPpJC8vj6qqKtLS0ohGo9hsNkOgqK+vp6mpyaiDEIKysjKuvfZaFixYQH19PZ2d/5+9N4+Pqr73/5+zZfZkksk+k30lK4RNFtkXRUDRYq1W1Fq1er+2Wrtfrb199D5urba1m0tVsFq1rbWi1BZEQGQHgQSTQEL2fd9mMvvy+4Pf+TQhCeAttvb2PB8PH5pkljNnJp5X3svrNYDP50Or1WK1WklJSSE+Ph6NRjOpMDGZTBQXF+Pz+Sa0q3Q6HSUlJXg8Hux2+7j7SR5fKSkpYhj/fJRKJcnJycLao729nb6+PjweD+FwGJ1Oh8ViIT4+noSEBAwGw8dqZQWDQUKhkEhEkAiFQkRERFzWtthUYk+pVI7LBZUyTaU29mSJBpe6tDAWadZt7PFM9hiXEgQeCoU4deoUhw8fFgHpEnFxcXzhC1+4oP+bUqmkqKiIqKgoEhMTOXLkCC0tLdhsNuLi4kRChMlkoqamBovFgl6vp6qqCrvdLrcrZWT+BZEFmcwnhk6no7CwUFQqpIuSwWAYJ6gCgQANDQ04HA4UCgUOh0MMxavVaoxGI2q1mqGhIaKjoxkYGMDlcnHgwAFKSkrExfrs2bPo9XqxgejxeFAoFOzYsUPYWPj9fkZHR9mxYwdarZb09HT8fj/FxcXodDpGR0eFXYQ0yB0TE0NiYiJ2ux273S6qeWMd7+GcePH7/ahUKmEMq1AoMJvNWK1W0tLSAGhpaRFCE2DWrFkYjcYJc0c6nU5UEyejqqqKffv2sWbNGlJTU4mPj2dgYIA5c+YQGxuLy+Wiu7tbbKKOjo7S1tZGeno6APv27aO6upobb7xxyrbtiRMn6OjoIDExkcHBQdxutzBPXbhw4bhjbm9v58SJE/j9fubPny+G7QOBAHPnzqWtrY2ioiLa2trQaDTk5OSMey5pW/Wvf/0r1dXVREVFsXbtWlauXCl83cLhMG1tbWzbto1Dhw7hdruZNm0an/nMZygoKBCfq1AoRENDA2+88QYVFRWEQiGKi4vZuHEjWVlZUwoWSUg9/fTTlJSUcPvtt4tN0KNHj/LWW2/R0NCASqXCZrOxfPlyVq9ePaEa2NTUxK9+9SusVuuE9rpkbHsxIiIixO0UCgVWq5Xm5macTqeIryouLmbz5s2sW7cOgL179/KZz3zmoo8tIyPz6UMWZDKfGBqNhuTk5AnfP/9iZDabWblyJXBO1PT09GC1WsUFSaFQTBA/Xq9XeEXl5eWRnZ1Nc3Mz2dnZuFwu/vznP9PT08Py5ctJS0tjdHQUjUaDXq9Hp9OJ7MWEhARqa2tFO7OwsJBp06aNy9A8/2JbU1Mjlg9UKpXYtLRYLLS2thIVFSXMPZOSkoR7/p49exgaGiI7Oxu1Wk1HRwdarRadTofZbGbRokUfq82XkpKCTqcThrTt7e10dnaSnJyM1+vlwIED7Nmzh3Xr1lFcXMwHH3zAwYMHWbt2LbNnzyYrK4vy8nJ8Ph+hUIja2lqam5tJTU0VG6xarRaLxYLNZiMcDhMZGUkwGKSjo0NkfcLfshxjYmIoLy+nu7ub1tZWysrKaGpqYmBgAI/HQ2dnJy0tLZSUlEx4PQ6Hg2effZaUlBTsdjtVVVU89NBDPP7446xduxa1Wk1PTw/f+c53qKioYN68ecTFxXH48GF27NjBT3/6UxYsWABAXV0dX/va1+ju7mbWrFkolUp27NjB/v37eeyxx8Y9/9jP48mTJ3n44YeJjo5m5cqVwoC3srKSe+65R5wbn89HY2Mju3fvFp/dsXR0dBAZGckDDzwgKnpjn+/jtnMVCgWlpaUcP36cp556CqfTyfTp08nNzRUxU1qtlr6+PiH8ZWRk/rWQBZnMJ8qlVAKkDTWJS/EW83q9+Hw+dDodhw8fxmQy0dLSQkREhBBBRqOR+Ph4CgoKxJLA+RdCv98vhvQVCgUqlYpAICA2CCUGBgY4ceIEZWVl1NTUEBkZKR5zcHAQn89HWVkZ3d3doj3a0NCAzWYTId45OTmoVCpMJhNer5e8vDxxfylMeyz9/f309fVhMpnw+Xwi8Dw/Px+dTjfBskOlUnHmzBlSU1OJjIxEp9MRCoWwWq2o1Wq0Wi3hcFhsBY5tOfb19bF161Zyc3P585//TFJSEhaLZZxwkcxUpWWGsYPpfr+fiooK4bovDcVHRkai1+sJh8OUlJSwZ88ebDbblKa006dP53vf+x4Gg4H6+noeeOABnn76aa688koiIyP505/+xKFDh/jxj3/M1VdfjUajoba2lv/3//4fjz/+ODNmzEClUvH888/T2NjIs88+y5w5c1AoFJw6dYovfelL/OpXv+LnP/+5mD+TRPWhQ4f43ve+R0pKCo888gipqani83v27Fna2tp4/PHHWbVqFQqFgqGhIWHIez6S+J/KVkXirbfeQqVSsWbNmnGft8997nPi+EpKSkhOTiYjI4OrrrqKV155hXvuuYe8vDy0Wi3f/e53SUxMRK1W853vfGdK01sZGZlPN7Igk/nECIfD+P1+ent7sVqtYsjf7XaTmJgoql6S+GlsbOS9995j7dq1KJVKXC6XMCMdHR0VbTVp1kqK65HaN1LEjSTKpJktYNxm4FgiIiLGXTAHBgY4ffo0c+fOnRAW3tXVhdfrZc2aNaJ9JlXvJDEnLQkMDAyQlJQkKnxRUVHj3PvHziZJm4PnD3q73W5Onz7NwMAAOTk5nDlzBpPJRG5u7qSvJSYmRpwjjUYj5o1ycnJQKBTYbDbi4+PJzs6eIJSdTietra0kJyeTnp4+qZAea19x/pagWq0mLS2NlpYWcnJySEpKEuLTZrOh1+uFTclk9hNwrpW9dOlS0QZNTU1l6dKl/PKXv6SzsxOlUsmhQ4ew2+0sW7ZMPEZOTg7Lly/nN7/5DfX19VitVo4fP05+fj5z584VorOkpISysjJOnjxJR0eHEP5arZZTp07x+9//nqKiIiFwxp6DadOmYbfb+fGPf0x7ezsLFiwgNzd3ytan9Nhvv/228NCTHk+j0ZCYmIhSqaS9vV0IwrFIbWU4lx4gva8ZGRls2LCBsrIy8XgFBQXitpNVHmVkZP41kAWZzCfG8PAwu3btwuFwYDabcblcpKam0tLSgl6vx+FwUFRURElJCREREVRWVvLtb3+badOmkZSURGNjI1qtlra2NnQ6HTNmzKChoYGEhAQx0Pzee+8RHR2NWq3mo48+wmAwkJqaSkJCAtu2bcNmswl7hQsRCARwOp00NTXR3t5Ob28vERER6PX6cSav0u2knEij0SgujKFQCL/fL0K7DQaDuNA6HA7h9C5V49xuN0ajUQxon09CQgLz58/H7/ej0+nIyMgQla5QKMTRo0eprKzE4XAQGxtLZWUl1dXVeDwerFar2LT74x//yLXXXovFYsHj8bB161auueYa9u7dS319PXv37mXVqlUsXbqU3t5eIiMjP7axrRSdNNasNykpCTi3Veh2u9m/fz9RUVHjKk9jUalU46waNBoNMTEx+P1+hoaGiIuLo7+/n9jY2HEziEqlktjYWILBIAMDAxiNRkZGRiYIJpVKJWbrpAUS6b159tln6enpYdq0aZMuZ+Tn5/Pb3/6WV155hV//+tc899xzzJ49m7vvvpvi4uIJt+/q6qKxsZGKigr27NkzTtwnJSXxrW99S7RDP/zwQ+rq6tBqtdxxxx2kpaWxd+9e3nvvPcLhMKtXr2bRokVUVlbyzDPPkJyczNVXXw3AL3/5S3w+H21tbZjNZu68806sViuvvfYaZ8+epampidzcXL7yla/IJrMyMp9yZEEm84khObBnZmYKKwKNRiMMNoPBIMnJyZNWSzIzM0WVQKpEqVQqYTcAcNNNNwn7CZVKxVe/+lUAcbHOysq65Fkdl8tFRUUFjY2NDA8Pc+DAAVQqFVlZWSLY3O/3c+rUKZxOJz6fD71ez5VXXklCQgKhUIi2tjaOHTuG1+slFAoRGxvL/PnzMRgM7Nu3D5VKJUK99Xq9qNLMmzdv0uNUq9WTOr5L1bkFCxYwd+5cYW2xaNEi5s+fL75WKBTcf//94pzEx8fzwAMPiMdev34911xzjbDvuO6668TW6cVsGT4uOp2OK6+8Ujz3ZASDQTEPB+fE78jIiLCXkD47PT09oroKf0tLkBYopLSAoaGhcZFYUpKDJLQl/H4/N910EwkJCTz22GM8/fTTPPTQQ+MC3DUaDaWlpRQUFNDR0cGOHTt45plnaG5u5sUXX5zQgrXb7XzlK1+Z8lyM/cy7XC6+/e1vs2PHDl5++WVuuukm3nzzTW6//XYCgQC//vWvKSwspKioiOuvv55t27aJ+1ZXVxMREcGXv/xlXnrpJfbu3UtmZiY1NTV87Wtf47nnniM5OXnCHJuMjMynD1mQyXximEwmcRGGyc1DpzIWnUoUjL2Yn299MbYKMdnXF8JoNDJ79mzh5bRq1SqRwygdo9frBWDZsmUolUr27t1LVVUVMTExuN1ujh49SlZWFhkZGXg8Hg4ePEhFRQWzZs3C6/ViNptZuHAh27dvZ9asWSQnJ1NeXs7MmTMnFSkXmr+TBsPH3i8UCtHV1YXf78dgMODxeMRt9Ho9nZ2dDA0NkZyczODgIBaLhfT0dAYGBigvLyc/P5+4uDgGBweFA397ezvp6ek0NzczODjI9OnT+fDDD0lPTycyMpKuri7S09MZGhoSx+R2uzEYDDQ1NWEymUhNTRXn8kK4XC727NnDwoULxfFKAsNms2E2m1mwYAE/+9nP2L9/P0uXLkWtVtPc3MyePXtIT08nJyeHiIgIZs+ezc6dOzl58qTwtaupqeH48eOi/Tj2c7Jo0SJmz57NyMgITz31FImJiWzatEl8hgYHB4Fzre+0tDRuu+02Wlpa2LZtGx0dHRMEWUxMDLNnz2Z0dJSBgQGCwSB6vV6EvY9l1qxZpKWlMW/ePH72s59RV1fH3r17cblcqFQq3G43g4ODxMfHT7ivwWBg3rx5ZGRkkJubS3d3N3l5eXg8HhoaGvD7/aI9KiMj8+lGFmQynxjhcJhjx45RUVHBbbfdhkaj4fjx47z//vusWLGC0tJSPB4PL7/8MrNmzRL3c7vd/PWvf6WqqgqVSsWMGTOYN2/eOBsAv98vwp+Hh4ex2+0sWbJEXGjD4TA7d+5kZGSERYsWsWfPHpqamoiMjGTJkiXk5uaOEwiSYaw06C5tY45Fq9WSm5srWj82m4329nYCgYDIZbRYLMIM1+v10tnZKawwYmNjiYmJwWw2i4urUqnE7/df8vmEiUJN+r7L5WLXrl14vV4KCwtxOBy0t7cTFxdHIBCgrq6OiIgIrrjiCk6dOoXZbCYlJQWfz0dtbS0DAwMkJiZy+vRpZs+eLTYmpVk4p9OJUqkUmZh+v5+PPvqIpKQkysvLaWxsFBuscG4uzWq1EhcXd0lmtBERERw6dIhvf/vbpKam8uGHH3L48GEee+wxoqKiUKvVbNiwgd27d/ONb3yD9evXExkZycGDB6murubJJ58UrdY77riDkydP8pWvfIVVq1ahVqt5//338Xq93HPPPZN6gOl0Or74xS8yMDDAT37yExISEkQF8bXXXmPfvn1MmzaNyMhI+vr6ePvtt8nNzZ3gHye9J2fOnOH111/nxIkTeDweEhISWLx4MTfccIPwuAOEZ5zf7xfVypkzZ/Lf//3fYnZsqvOnVCrR6/XjtpGzsrLw+/3s3LmTGTNmsGTJknGVQhkZmU8nsiCT+URpbm7m+eefZ8WKFaSkpLB161Z+/vOf4/F4KCoqoqWlheeee47ExETg3MXphRdeoLu7W6zx/+pXv+I73/kOn//854Wn2ZYtW3jhhRfQarVotVqGhoZ44YUXeOyxx5gzZw7hcJjt27ezY8cO5syZQ2trKwqFgq6uLl588UUef/xxFi9e/LFei+SJJrUMVSqV8CRzu90AYv5IpVKRmpqKxWIZ972x/5b+uVQD07feeouEhATmzZs37vuBQIB9+/YRExPD9ddfLy7uLS0tlJWVMTg4iFqtZuHChSgUCvR6PTk5Oeh0OiFKo6KisFqt9PX1ER0dzYwZM+jt7RUbldI/TqdT+MHFxcXhdDqpr6+ns7NTzNctWbKEvXv3kpycTFxc3AUNUOGcP1o4HGbZsmXcdtttvPXWW/zud79DpVLxrW99iwULFtDd3U1UVBRJSUk88cQTvP766+zduxePx0N+fj4PPvggc+fOFaIjPz+fn/zkJ2zZsoV9+/YRDAYpKirilltuoaSkRLS6Y2JiKC0tFULObDbz4IMP4nQ6efPNN5kxYwZ2u52ysjIqKirYt28fPp8Ps9nMTTfdxI033jhpRFFPTw9btmwhOjqab3zjGxiNRpqamoT/3Y033igqvMePH2f79u0cPHiQuXPnUlJSwvbt29m2bRuZmZmEQiGWLFlCZ2cntbW19PT0cOrUqSntLfr6+sQ8ZFdXF8PDw3z2s5+96PsgIyPzz0UWZDKfGAqFQlSizp49i9lspqqqiiuvvJKPPvqI4eFhampq0Ol0ZGZmUl9fj8fjYWhoiM2bN5Oenk5jYyP3338/mzdvZv369VitVk6cOMEvf/lLPvOZz/Dggw9iNpupqKjg3nvv5bHHHhMX83A4TENDA+vWreOJJ54gJiaG/fv3c9ddd/Hqq6+yaNGiSeOXphJIkoCaDIPBgF6vp6ioiJiYmHGPM9alfSokYTeZC7zUburr6xPRPmO9rMLhMPHx8VgsFqKjo4VHWkxMDEqlkri4uHGt1/OJjIwkNTWVUCjEFVdcgcPhEDFScXFxjIyM4PP5UKvVdHZ24na76evrE7YiERERpKeno1QqMRqNxMTEUFZWhtVqpbGxEa/Xe8H2cXNzMx6Ph6uvvpqIiAhuueUWRkZGaG9vJycnhxMnTtDT08OSJUvIy8sjPT2dr3/963z9618XjyGdM2njValUEh0dzcKFC7n55pvx+XwMDQ3hdrs5deoU+fn5mM1mVq1axapVq8a9x1arlSeffBI416aWvL1+/OMfA+cquIFAQNiXdHZ2TmgL1tXVEQwGufvuu0U7s6SkBKvVyhtvvMF1112HRqPhiiuuoKCggDNnzlBaWso111yDyWTioYce4r333qOqqori4mLC4TC1tbUMDw9TVlbGoUOHMJvNXH311SKMvbS0lJSUFLZt28batWu57rrrqK+v5+c//znLli2bMu1BRkbm04EsyGQ+UTIyMtBqtdTV1ZGenk5rayt33HEHL774IsPDw9TW1mI0GklNTaW+vh6DwcCNN95IRkaGsGqYP38+W7ZsEW2yAwcOCIPVU6dOAedCtNPS0igvL6e9vV1cpGw2GzfddJPw3ioqKiIzM5P29nZh7DoWKTS8v78fk8mERqMZN9w9FUlJSWi1WiorKyksLBSzVHq9foID/2RUVFTgcDjQaDS0t7ej0WjIy8vD5/MJK4NQKMTx48c5ffo0CoWC9evXk5qayrvvvsuBAwe44YYbsNvtlJeXc/ToURwOBzabje7ubtauXTvBGV/CZDKxcOFCYHw71G63ExcXx4EDB0QKwQcffIBOpyMuLo6srCxhwXG+iJQ2W6XK54XIyckRaQvSBqokOiMiIkQWanV1NW1tbfj9fnw+HwaDgWAwKPIifT4fgLCE0Ov1WCwWuru7RdXQ6/Vis9lE4PzFOHXqFENDQ6hUKrq6usQfD21tbbS2tqLX68nNzSU+Pn6cIAsGg2g0mgmfL8kLTjpfZWVlACxZsmTc7ex2O7fffrv4OhwOs2LFigkmtGM9+woKCvD7/cLg9/Dhw1RXVxMfHz+l7YuMjMynB1mQyXyiREZGYrPZaGhooL6+Hq1WK5zwGxsbaWhoICUlRbSMNBoNmZmZ46pDRqNR5Cl6vV5aWlro7u7mO9/5zoSLakpKCh6PZ8Lzj/WAkkTX+YJMEoAJCQns3r0brVZLXl6eGAo/v8qkUqlElUoa2D969Cjvvvuu8BWbNWuWmPEBRKtTys+UHtNmszEyMkIwGESlUhEdHU1KSgq9vb3i+aTjvf322/nggw/Yv38/n/vc51i5cqVoUwEMDQ0RCARISUmhu7ub9PR0qqqqphRk0mvDUWndAAAgAElEQVSfDJVKRWJiohguLy4uFvNQY+/zcULHz0cKnb8YTqeTtrY2Ojs7xVLC0NAQer2epKQkzGYz0dHR4jljY2NZvnz5pPmW0m2Ghoaor68nLS1NiPaxpKSkEB0dTSAQwGg0YrVaha9aTk4OXq+X6OjoCUPzycnJDA0NsXPnThYvXoxer6e9vZ2//OUvZGZmTprF6na7CQaDeDwesSkrHe/g4KAwmpVa5UajccJsmUaj4YYbbmD37t1UV1eTkJDADTfcIDzgZGRkPr3IgkzmE6e4uJiTJ09y+PBh8vPzyc7OJiMjg/3799PR0cGyZcvEbS8WK6NUKtHpdKSkpPDyyy9PuJCr1epxcU2SJcalYjQaWbx4MW63m3A4LKpjVquVq666aly1Kz8/n8zMTFHVSUpKYtWqVfT19dHY2ChEprSFp9PpcDgczJgxg7i4OJRKJStWrMBkMhEZGTnutUjiYezAuBTtFB0dTXJyMu3t7cKmYiwqlUrkb4ZCISwWCz09PZd8DsaiVqvHeYuN5R89JC7NwBUUFIi2pM/nIyIignA4jEajmbQ1eyHhODIyQmtr65Tu9gkJCeOCzaX35Xxz3vMfNy0tjauvvpp33nmHt99+Wwjx1NRU1q9fP+mQ/s6dO8VriYiIwOFw0NfXR2FhIbW1tWRnZ1NfXy/mGJcvXz7p40RFRbFhw4YpzqKMjMynFVmQyXziTJ8+nXfeeYfh4WFWrVpFcnIyeXl5HDhwgNHRUUpLSy/5sXQ6HUVFRfz+97+nvb2d2bNni0pCIBAQF7OxPlUXYrJ5MYPBMKFNqdFoxg1vSy2xsX5WCoUCg8FAUlISkZGRIlYnFAoRHR0tqhsejweHw4HBYECn04kWnDRnNTYFYKzAkFp4lyKEpAqc9O+xhEIhPB4PgUBAVAx9Ph8ffvghR48eJRAIkJeXx/z580XVyOv1UlVVxcGDBxkdHcVutzN37twJwdlTnWO/309PTw+VlZU0NDQwPDxMOBzGYrGQnZ1NUVHRRWfdJDEsvTeSDYn0PY1GIz4H0uB7XV0dIyMjKJVKYfORl5dHSkoKarUan8+H1WqdcgsxFAoxOjrK6dOnOXPmDD09PSIYPjk5mcLCQtLT04Uol9BoNKxdu5aysjLq6urwer3ExcWRm5srDHvPJycnB4PBgMPhICIiArfbTVZWFna7HaPRiNlsJioqikAgQG1t7bgs0YvhcDjEbKFCoRDZrlqtVq6eych8SpAFmcwnjtRG7O3tFfNV+fn5vPrqq8THx08aQD4VKpWKZcuW8ac//Ykf/vCH9PT0kJOTg9PppKamhvj4eL7whS9c0mMFAgFGR0eJiIgQ1gNGo1FsRf5vvZskA9MLvYbu7m76+/uBc0JDpVLh9XpxOp2o1WqCwSARERHExsZe0DLC5XLR0tJCW1sbgUCApKSki9poOJ1OfvWrX7F//34WLlzIXXfdxfbt2/nNb35DV1cX4XBYhJ0/9NBDWCwW3nrrLV588UVRlZNmqb7+9a9TVlY2pSgLh8N0dnby9ttvs337dnp6ekQmp3SujEYjycnJXHvttaxcuXJcRepC/OlPf+LVV18lIiKCe++9lxUrVjA6OsrOnTt57bXXaGtrm/BcBoMBm83Gd7/7XYqLizEajdTV1Ynw9LGiyu12c+jQIV5//XVOnz6Nw+HA6/WKapdOpyM6OpoFCxawYcMGCgoKJiQDpKSkXPIw/dhK5PmtVemPAYVCgd/vJyMj45JmEyV2794NnKvWFhUVodFoGBkZEebGMjIy/3xkQSbziSPNQ3V1dVFcXAyc2wiLiooiOztbXGwkATJ2vkaqOlmtVnGxs9ls/OAHP2Dz5s28+OKLdHd3YzAYyMrK4q677hL3PX+mSHo8KXi7pqaGs2fPYjKZhKt7XFwc8fHx5OXl/V02AReqYqnVaqxWqxBtarWaQCCAFLLu9Xpxu92YTKZxovDKK68UF+GMjAzMZjNKpRKHw8H06dNRKBQMDw+Tk5NDZmYmer2elJQU9Hq9WHKAc1Wf7u5uEU2Vl5fHr3/9a5xOJ1qtVlhdbN++nczMTPLz83nqqacYHBwkIiICv9+Py+WisrKSZ599lh/+8IeTxvKEw2EqKyv58Y9/zIkTJ8RrjIiIEFWuQCDA0NAQg4ODnD17lmPHjvHAAw+QlpZ2UUE8ODhIY2MjCoWClpYWhoeH2bJlC6+++ipOp1PM+Gm1WrGUMDQ0RGJiojj30lbo+RXVoaEhXnvtNV5++WWGhoYAhMO/QqEgGAzicrlwOp38/ve/58iRI3z1q1/lyiuvvKjnWigUwu12j5tjlB5bqmhKVVKXy4Xb7SYUChEREYHRaEStVo8T/KFQCJfLJf6okJIKxlZHIyMjsVqtpKWliegqqWomIyPz6UBxqR5IMpedf5sTHwwG6e7uJhAIYLfbhRlqR0eHGOhWKpWMjo7S09NDUlKSaAW63W6qqqqwWq3Y7XYh1vbt20d5eTnXXXcdPp9PmLlKrUE4ZxPhdrux2WxCzEliJBwO09/fT1NTEyqVCr/fL2bGJPPUT9q3aezv3lgBFwwGCYVCYpbucs9qDQ0N8b3vfY93331XCFmAtWvXYjAY+Mtf/sKhQ4cAyM7OJjY2loaGBq666iqKi4uprq7mj3/8Iw6HA6vVyve//32WLl064Xk6Ojp45JFHOHz4MOFwGJPJxIwZM5gzZw5JSUmEw2E6Ojo4cuSIiKRSq9WsXr2ahx566KIbmk899RRPPfUUoVCI2267jeTkZH7+858TCoXIy8sjNzdXRHMNDAzQ1NREY2MjJSUlPProo0RERNDb28uuXbuYO3cu6f9/qHogEODll1/mmWeeEZuvRUVFXHHFFaSlpaHT6US6wbFjx+js7BTn6j//8z+ZO3fuBY+7vLycF198kWPHjuF2uzGbzRQVFfG1r31NHEMoFOLMmTNs3ryZQ4cO4Xa7ycjI4NZbb2XVqlXjBG15eTmbN28WojcvL4877riDxYsXi98Fj8czoSUuIRvGykyB/MH4ByNXyGQ+cVQqlWhLhsNhPB4PIyMjaLXacVUgpVKJwWBgeHgYOHehOHnyJL/73e/45je/idPpxGKx4HK5MBqNzJkzR7SDpOiegYEBdDodkZGRxMbGMjIyQk9PD+FwWMz5+P1+LBYLRqMRu91OMBgUPltGo1HMfn3SXGiz8eMsIkjVGmnmzO/3o9VqaWhoENuHU1WbXC4XAwMDPPHEEyIkOzs7m6amJjo7O6mrq6OtrY3/+I//4JZbbkGn07F06VLa2trYtWsXIyMjVFZWsmTJknGvx+Fw8OKLL/Lhhx8SDoeJjY3lS1/6EmvXrp1gwbBx40beeecdnn76aQYGBti1axd2u50vfelLQkRIW7ZTzZjt37+f4eFhLBYLd9xxB6tWrRI+bPC3ObbW1laUSqV4f8Ph8LhUhlAoxIkTJ/jtb3+Lw+HAaDSyceNGNm3aNGGz9Prrr+fQoUM88cQT1NfX09DQwObNm8nOzp4QpSQxMjLC9773PXp7e7nrrrswm810dXVx+vTpcTNhDQ0NPPTQQygUCr7whS9gNBrZt28f3/jGN3A4HHz+859HoVBw/PhxvvrVr5Kamsp9992HUqlk+/btPPTQQzz++OOsXLlSVF7HIoswGZlPH7Igk/mHc+rUKd544w3cbjcpKSncddddKBQKXnrpJWpra9FoNGzcuBGLxcKWLVs4ceIEP/3pT5k5cyY33ngj5eXlPPfcc0ybNk1UI/7rv/4Lk8nEyMgIarWaBx54AIVCwebNmxkdHaW8vJyVK1eyfv16qqqqMJlMYsB5ZGQEjUbDtGnTiI2N/VizOZ8GOjo62L17NxEREcTHx+N0OklMTOTQoUPMnDlTWG9MRV5eHoWFhUK8SIPvUuUnMTGRhQsXCnGk1+uZNm0aH3zwAV6vl+7u7gkWInV1dWzfvl3EAW3YsIEbbrhhUoPYqKgorr/+etrb23n11VfxeDz89a9/ZeXKlUybNk34ktXU1GCz2SZtjzY0NGCxWLj//vtZvXr1hOcZHh5Gp9ORlJQkFitGR0fx+/3odDrxWXA4HLz99tt0dXUBMH/+fL74xS9OaH3DuRbmggULaG5u5he/+IX4nJWXl7N06dJJRbBkNJuRkcE111xDbGysENSSN1owGGTr1q20t7ezZcsWpk+fjlKpZMGCBZw+fZo//OEPbNiwAZ1Ox6uvvgrAo48+KjY/Z8+ezWc/+1n+9Kc/sWjRoo9V6Q2HwyLFQBZtMjL/WGRBJnPZGRkZweVyEQ6HRVVDo9EQExMDQGZmJrfddhtOp5MnnniCdevWcfbsWc6ePcvDDz+MTqcTA9ibNm1Cp9Pxox/9SFzgFixYQFdXFxUVFeI5Ozs7Wbp0KTfeeCPf//73OX78OMFgkHA4zCOPPMKPfvQjiouLSUlJEdURvV6P3+9Ho9Hg9/vH5Qv+KyFtFRYVFTEwMCBsEmw2G9nZ2Rd0yR+bpiBhNptJTEwUra2kpCRSUlLGbXsmJiaiVqvFIoLX6xVttHA4zLvvvsvAwAAAqamprFu3bsrjkDZWb7jhBj744AMaGhpobW3lgw8+ICsrC61Wi0KhoKKigu7ublH1OZ8rr7ySq666Cr/fz44dO4iIiCAjIwObzcbp06fF7bq7u1Gr1SiVSmbPnj0uQqqhoYF9+/aJWawbbrhhUjEmoVarWb58Oa+//jr19fU4HA6OHDnCFVdcMamwj4mJYePGjbzwwgvceeedLF68mNWrV5OZmSkE7ejoKMePH6ejo4PHHntsXLu9qamJuLg4BgYG0Ov1nDp1iubmZh599FHx+yGNCLS2tuJwOGhqakKr1dLf309nZyczZ87k5MmTxMbGUlhYSFNTEz09Pfh8PgoKCvD5fCIQXkZG5h+HLMhkLjvHjx+nt7eXnp4eMQReUFAgsiMPHjzIkSNHUKlUtLe34/f7aWxsJDs7+5I37M7HbDZTWlqKxWIhPj4eh8NBTk4Ou3bt4p133sHj8QhDz6kyAOFfs5Ujbcs5nU6Sk5NpaGhg2rRpOBwOUTmaqkKmUCiIi4sjGAyKzVLJjFepVArLjvPvLw2gw7mg97HxUB6Ph48++kgMjE+fPv2SHPsTEhIoLS2loaGBcDjMhx9+yE033URERAQul4v4+PgpW7lKpZJly5YRERFBY2Mjvb29hEIhRkZGMJvNxMTEMDo6itvtFu1EtVqNSqUiMjJSiEkp0gvOCcn09PSLHndUVBQpKSnU19cDUFtbi9vtnlSQqVQq7rzzTkpLS3njjTfYunUrL7/8Mhs3buS+++7DYrGIpQmdTjfhvK1duxa73Y7BYMDj8eDxeDCZTBN+bzZu3EheXh5arRav10tjYyODg4MMDQ1RVlZGY2MjLpcLpVIpNpQl13+Hw3FJcV8yMjKXF1mQyVx21Go1kZGRlJSUYDQahd+U1Hp6/fXXue+++7DZbCL6KCYmRlzIpPBttVotLCD8fr+4gE6GUqkUdhVSZSctLU3MkC1dupS0tLQp/ab+lVEoFGRmZmIwGCgrKxvXopISAy6EwWBg3759GAwGZs+eLc69dL+oqKgJ52zs+yD5W0m0tbWJhAGVSkV2dvYltYGlFIc333wTOJdx2d/fT1RUFMFgUJjrTobFYhGCQqfT4XQ6aWxsJD8/n4iICPLy8sbdfqythFS5DYfDVFVViVkui8UijGMvhNfrHVdN6u7uvqD1iMlkYsmSJaLd+cYbb/DEE0+Qnp7OzTffjF6vF4a0//mf/znlHykjIyPExMQQFRXF97///UlDzuGcnYZWqyUnJwetVovVamX9+vXAuRnCrKwskpKSMBqN6HQ6TCbTx5phlJGRuTzIgkzmsjNnzhwAYWI69uInDfjv3LkTk8kk2lpS7NDPfvYzTCYT8+fPZ/r06SQnJ+P3+3n22WcpKytj5syZHDlyhH379tHc3My2bdtYsGDBhGMIh8PU1NSg0WhoamqipqaG7u5ubrrppk98e/IfTUFBAVlZWajV6gnGsZciPiMiIkSc0/n3k2wqPg4DAwO43W4AkXspLVM0NTVhtVqFCBqLWq0WmZCSeW1vby+ZmZlERUUJC4jJsFgsoiUaGxvL0qVLmTlzJrGxsZMasU52XoLBID09PUJcVlRUcM8991xU0IbDYUZHR8XXbrd7SkE2NDREV1cXNpsNk8lEVlYW8+fPR6fTibk1vV7P0qVL2bVrF7/97W+57bbbsFqtuN1u2traUKvVZGZmYjabWbJkCc888wxbt25lw4YNmM1mXC4Xra2tmM1m7Hb7OEEqve7U1NRxv5fR0dHAuc3kj2M4KyMjc/mQBZnMZef8WaHz8x+/8pWv8Mc//pHIyEgee+wxoqOjqaur495776WmpoZAIEB8fDyDg4PodDqWL1+O3+8X24IWi4U1a9YIKwW1Ws39998vNi43btxIKBTimWeeYdOmTSxYsIDDhw/z9ttvMzo6+n9OkEmVxL/n/pJb//n8bwxypWF56bGldqDf76etrY2RkREiIyMnHLO0DSgZ9QaDQRwOhxBzkrXJZGi1WlQqlXCxl1Ic3n//faKjoy+pFS55g0n4fL5Jz8nFkDZCJ6O9vZ2HH34Yt9tNdHQ0wWCQ9vZ2UlJSWL58uTgPa9eupb6+ni1btvDOO++I7V+/38+NN97IPffcg0Kh4NZbb6Wzs5Of/OQnvPLKK+J9DIfD3HvvvSJ6azIBer5wlwSa5I8mIyPzj0UWZDJ/N9LwvoRCocDj8Qg/JWkoW9q4S05OprS0lLq6Orq7u0lJSWFoaIjCwkL6+/s5c+YM7e3tNDY2kpGRgV6vR61WYzab0Wq1TJ8+fcIxFBUVif/OysrC7/eTlZXFnj17qKmpobm5mZKSEpEvKfM3pMrlxVpzl4q0TAHjs0RDoZBYQJD8t85n7HafFIMkfX9oaGhKoSDdx+12c/z4cU6fPk1HRwdwzqE/FAoxPDxMT08P6enpky4YnD8Ll5CQQHZ29scWpFFRUROityTS0tLYtGkTJ06cYGhoCJVKxYIFC1i5cuW4tqrJZOKBBx5g7ty5HDx4kL6+PiIjIyksLBSzmNIxPvrooyxevJhjx44xMjKCxWJh+vTpH9uBPxQK4XQ6RetfRkbmH4ssyGT+bvx+P52dneIva8nNfHh4GK/XK77W6/VERUWh1WpRKpWkpaXR29vL4OAgTqeTrq4u2tvbhSlmcnIy6enpwtBzwYIFdHd309PTQ2RkpLjQBoNBVCoVTqcTg8EgfLxWrFhBf38/fr+f+fPnixmafwc+jvGn1+tldHRUtK3+XiQBDefEmZQ5KZn/2u32SStdkleYVF1TqVRi9iwQCJCenn7R2SaTycS1117LlVdeSWJiooiBgnPtuLq6Oux2+6Sfg/NnFEtKSvjmN785QVyFw2G6u7vxer0MDw8TGxtLIBAYlwwxlfA3mUxs2LCBDRs2CIsJOCeGpDnJQCCAUqkUnm+LFy8mEAiMm+sbGypvMplYs2YNa9asETOUknVFIBAQm8TS98fOWQYCARGFJQW0x8TEyDNkMjL/BGRBJvN3IxltSv/Dh3NzSSaTCZPJhF6vx+PxYDabxYU6MTFRWDNoNBqxjRkVFUVkZCRpaWk0NTXR3t5OQUEB+fn5DA8P09zcjMvlIhgMYrFY6O3tZWhoiNzcXBQKBc3NzSgUCoqLi2ltbWXRokWTziv9X8bv9+P1ehkaGhIXVylIe7J2rRRPdblsDqRKJiBEi0RiYqLI7jyfcDiMw+EQVTFpAxLOtdEGBgaIj4+/4HNLnzPJcf/IkSPMmTOHmJgYgsEgHR0dU85IGQyGcULR6/Wi0+kmDMsHAgG2b98ujIe7urro7e1l/vz5lxT5NPZYq6urRej86OgoWq0Wn8+HwWCgr69PLLVI75skzJKTk7HZbGIuz2Aw0NbWRjAYFNXpyMhIPB6PEHJqtRqXy4XFYkGtVos/fjweD6mpqeM82iS7GhkZmX8c8m+czN+NWq2+oK3B+VEtADk5OWRnZ4uf5+fnA+O336Sw5bEVnvj4+HExR9IGpjSUnp+fLzbnUlJS/i1blPv37xeCxOFwAOfaaFIk1PloNJpxXmZ/L3a7naioKDo7O/F6vbS2tor3yGg0EhcXN+n9fD4fTU1N4uvo6GjxuZK2/853yz+fs2fP4na72b59OwkJCZw5c4aioiJiYmLwer2MjIxM2fZUq9WkpaVx9OhRgsGgyMc834dMpVKxevVqlEqlqP6N3SS+VHw+H42NjcC5LWO1Ws3g4CBRUVE0NDSI4X+3201sbCx9fX3o9Xr6+vowmUzYbDYCgQCdnZ1ER0fT0tIihvrVajX9/f14vV6ysrJoaWkRGamzZs2ira2NyspKYmNjSUxMpLu7W2TJDg8Pk5SUBJwLon/nnXdYuHAhNpvtkl+bjIzMx0cWZDKXhYtdiC42VDzZ9yb7udRWGztnNBapmiH5a/07EggEsFgs4ywvJEEz1Xah0WjE5/NdltmhmJgYMjIyqKmpIRwOU11dzdDQkDAilVpm5+N2u8eZ/ebl5YmWpUajoaqqiuHh4UlzMyUKCwsZGRkhISGB5ORkKisrhW2GZHJ7oddYUlLC1q1bxbB9Q0PDBC+ysVuJl5IL6fF42L9/PykpKeTk5Igs17q6OtauXStsXsY+hiQalUrluMcPBALU1NSI91ev17NgwQIUCgUFBQXjjmfsHF8oFKKnp4fe3l6mTZtGUVERRUVFREVFiQ3P6OhoIiIiCIfDooLZ3NzM888/T3Z2tizIZGQ+YWRBJnPZkGZipPkVaYhbuuCMtVKQZmYMBgMVFRWcOnWKOXPm8Pzzz3P//fezb98+7HY7tbW1VFVVodPp2LhxI0qlkj179nDfffeh1Wp57rnnyM/PZ9GiRROO5991MFmyUZDEmMvlQqPRiKDp81EqlYyMjNDf34/H4/m7t1AVCgUrV65kz549eDweTp06RUVFBcuXL5+ynRcOhzl27Bg1NTXAua3JRYsWjZvfSkhIIBQKXdBLTqVS4XK52Lp1K6FQCJ/Px5133inmGPPz8y84RzhjxgzS0tKoqanB7/fz5ptvMmPGjAlt7wv94RAOh3G73fT09AjfL4fDIcyPu7u7GRwcZPfu3RQWFk76vkiCyO/3U19fL1q1nZ2d4/4YkVqR8LfEhsHBQXw+HxqNhri4OGJjY9FoNNhsNmw2m5jbzMrKor+/n+bmZnFek5OTiYuLE8f7/vvvU1NTw+nTp8XzxsbGYrPZ5DkzGZnLjCzIZC4bHo+HY8eOiSF76WIaGxtLT08PcO6iERUVJQaKS0tLUalUtLW1kZCQQE9PDy0tLVRXV1NcXMySJUu49tpr+fOf/8ybb77JfffdR2NjI01NTcTHx1NeXs6aNWv+mS/7U8f5JqwXM2VVqVTign+5bEFmzpzJzJkzOXDgAKOjo7z00kvk5eVht9snFTCtra28/PLLDA4OAue2ZmfOnDkuHHxwcJBwOCzC5aciPj6eTZs24fP52L59O8FgkFAoRF9f30UH1pOSkli3bh2NjY34fD4OHTrE5s2bufvuu8VywGTHD+dakL29vVgsFg4fPkxdXR1KpZKVK1ditVpFzNQf/vAHkbt6Mfr7+7nllltYu3Ytra2tvP/++4yOjlJaWspXv/pVVq9eLdrTu3bt4vHHH+fMmTN4vV40Gg1z587lW9/6FnPmzBHH/eabb/Lyyy/z6KOP8vTTT7N//358Ph+rV6/mZz/7GTExMezdu5cnn3yS2tpaOjs7+fa3vy0+FzfffPOkyw4yMjJ/H7Igk7lsSBUxOOci7vP5iI2NxeFw0NXVhUqlwmQy0draislkEu0RaUuts7OToqIiKioqRL7gnj17aG1tpbGxEaPRiNVqJS8vj4qKCqKiosjOzr7ooPe/G1L1UcrovNhmqUKhIDs7W8z0XQ6sVitf/OIXaWlpobW1lfLych555BFuvfVW8vPzxcXc5XJx5swZXn31VcrLywmHwyQmJnLrrbcSHx8vRERERAQrVqwgGAxedPlgcHCQd999l1AoRH9/v9g2nDt3rpg1HGvcOlZgRUREsG7dOo4fP87evXtxu9289tprtLS0sGHDBlJTU0W1LRAI4PV66e/v5/Tp0xw+fBi1Ws2DDz5Id3c3y5Yto7a2lra2NvH4/f39mEwmVq9ezWuvvXbR8yiZzr722mvce++9fPnLX6a/v58f/vCH/OAHPyArK0u0QY1GI6tWreLhhx8mOjqahoYGHn74YZ566iny8/OJiooCzn0+Ghoa+OlPf8pVV13FN7/5TZFHKi3eLFiwgJycHP7yl7/wwx/+kCeffFLMF1oslv9zXn4yMp8GZEEmc9kwGo1ivuf82Zri4uIpZ22kDbi2tjYWLVrE7373OwoKCigvL6eqqoqHH36YAwcOsGvXLjQaDQsXLuSVV17BYrGwaNGiKVtx/66Mjo5y+vRpMjIyqK+vZ+7cuf/w9q1SqWTOnDl88Ytf5Mknn2RwcJCjR49SUVFBVlaWcO/v6emhvr5eDMdHRUVxxx13sGjRonHtTaVSKTIoL4bb7ebs2bPiPjt27MDn85GUlITX6xUD6x6PR+Q2WiwWUlJSxLE98MAD+Hw+Dh8+jNvt5r333mP37t0kJiYSExODUqnE4/EwODjIwMCA8C8rKCgQSy7vvfeeSKbYt28fbrebhIQEnE4nO3fuxOVyXfL5nDVrFps2bRLnwO12c/fdd3Ps2DGysrJQKpUsWLCAefPmiXm5/Px8/vrXv1JdXc3IyIgQZHCumrdmzRruvvvuCTNscO530mKxcOLECVQqFWlpaRPip2RkZC4vsiCTuaxcaLZmKlGg0Wgwm820t7eTlZWF1+slKioKq9WKz+fjyJEj7Nq1S7imT5s2DbfbTTAYFHYXMn/D4/Gwb98+zp49S05Ozj/tOBQKBevWrapNOOwAACAASURBVMNgMPCb3/yGmpoavF4v1dXVE26rVqvJzs7mpptuYu3atX+XX5zP5yMxMZGSkhKOHDmC3W5ndHQUh8OBwWDA6XQKvzNp3lGtVjM0NCQeIysri+9+97u8+OKL7N69W4SVd3R0CMPZ81+rZNfidDpRq9Xk5ORgNptxOBwUFxeLitrs2bMJBAIUFBRc8h8TWVlZ41qE06ZNQ6PR0NzcLKqhbW1tbNu2jQ8//JCRkRH8fj+VlZXExcVN2CyNjo6mpKREDPrHxcXhcrnQarWiEi0jI/OPRRZkMpeNsdtd0hyZ9PX5m3XSbdRqNeFwmKuuuoru7m5iY2O55ZZbSE5Oxm63C9PZm2++Gb/fj0KhQKPRkJubi0ql+rfdpLwQJpOJmTNn0t/fTzAY5OTJk6SmpgrDXK/XS1lZGampqRiNxklF21j/Nsl+ZCy5ubk8+OCD+Hw+7Hb7lC0snU7HmjVrKCkpYdeuXRw7doy6ujqGh4dRKBRERUWRlZXFzJkzWbZsGSkpKRNmvMLhMENDQzQ3N1NYWCg+T/PmzSMiIoJAIMDIyAgqlUpUqjweDyMjI6JSNJUty2SWLHCuIpeSksI3v/lN1qxZw4EDBzh16hStra0MDw+LDUeLxYLdbicnJ4fS0lKKi4uprKzk7NmzOJ1O8Tnt6upCo9HQ0NBAfHy8uH8oFLqk4fjzf3/GGu+Gw2G6urr48pe/TFNTEzfffDP5+fkYjUaeeuop2tvbJzyeFJc1OjrKyZMnxXvl8/koLCyUBZmMzD8BWZDJXDb6+vpwuVy4XC7C4TBarRav1yv8p3w+n3AKV6lUNDc3k5ubKwbJ58+fT0RExDhbg7Vr1457ju7ubo4ePUprayt33333x461+XfA7XbT1dVFSUnJuCpKbW0tcXFxDA4Okp2djdfrJT8/f1I7g+nTp08aUSWRmppKamrqhO8PDQ1hMBiEeJAqUAkJCXzmM5/hqquuElmXUhi60WgUyQtTEQgEaG5uJj4+nuPHj6NSqYiOjiYqKoro6GiGhoaorKyksLCQ1NRUli1bRm9vL9dccw2xsbHieILBIIODg8IcFS68jatUKikoKKCoqEgsnEi5mCqVCo1Gg8FgwGg0CnPkmTNnUlBQILzypOOXNo/HCsdLNV9tbW3F7XYL4dvY2EggECApKQm1Wk1lZSUHDhzgBz/4AbfffjtarZZAIMDzzz8/5WMqFArsdjvr1q0Tv6+SKe3Y1y+dNxkZmU8WWZDJXDZaWloIBAK0tLSQlJREe3u7+J9+b28vjY2NKBQKrFYrwWCQ0dFRIiMjOXPmDB6Ph3Xr1omLglQJO/9i6Xa7GRoa4tZbbyUzM/Of9Eo/3UhVx5MnT5KZmUlJSQmjo6NERUWhVqsZHR3FaDQK49WP0/INh8OcOnWK999/n89+9rMTKk/79+9HqVTicDjIyMhgZGSE0dFR4uLi0Ov1dHZ2AufEzPLly8cJkkAgwOHDh2lra2P9+vXjhIEUkVVbW0t8fDw9PT3s37+fm2++mTfffBOFQiFmEKW5NLvdjsvlYs+ePURFRYmKYXt7O8nJyRQVFdHV1QWcqw719PSQlJREUVERKpWKUChEc3MzlZWVrFy5klAoxKFDh7jnnntEhcnj8Yxz/ne73SKuSavVip9fLAnB7/cLF35p8WAse/fuZefOnaxYsYLh4WE2b95MTEwMZWVlQthKeZ8Oh4Ph4WF27drF0aNHL1jtMhgMU25LShVMgIMHD4rlAbVajdFolEcFZGQuM7Igk7lsSKafhYWFwN8GnCVzS+nnUpsJzs2PxcbG4vV6sVgsBAIBtm3bRmxs7LgQZYn09PQJRp0y45Fakx0dHVgsFubNmyd+NjYJYex/j0XaTpRir8YSDodpamriz3/+M6tXr54gyJKSknA4HCL2SLKpkKqmUlXJbDZPEB2SzUR5eTkrVqwQQiEYDNLV1SW8s6R4rPnz53Pw4EHy8/PFxm5zczO9vb10dXURExODTqejra2NI0eOkJuby9mzZ4mNjSU+Pp4//OEPzJ07VwjBefPmUVVVRW5uLnq9HpfLxbvvvsvevXsJBoPMmDGDhoYGXnrpJYLBIJ/73OfYunUrLpeLhIQEVq1axSuvvEIwGGT69OkUFxfz5ptv4nQ6sdvtXHvttZNWAcPhMG1tbZw4cYLo6GhsNhvx8fHjhvALCgr47W9/yy9+8QucTicAd99997jfteuvv57f/OY3bN++HZVKhcViYdWqVXz00UeX/uEZgxRBtmjRIp566il+//vfo1arufnmm7nzzjv/bXJhZWT+UciCTOayoVAo8Hq9wppAykgMhUI4nU4RPC5d5J1Op8jvi4yMRKFQ4HQ6SU5OHmd5IN1f8lYym82yKeUF8Hq9+P1+EhMT8Xq944xUL5aEADA8PMzzzz/P2rVrKS4u/ljPPXPmTODCwm8qIajVarnuuutYvHixyLCEcxW/0tJSSktLgXNu+ucz9rGlCll6ejrV1dWiHWe1Wuns7BSi0m6309/fTyAQICYmBpvNNm7eymQysXDhQjweDxs2bKClpYXExETuvPNOfvGLX/Dhhx8SCoW48847eeGFF+jp6cFqteJ2u4mOjqa2tpZDhw5RWlpKTU0No6OjE3IxAZGxKf1TXV1NaWkpc+fOFbeZO3cuN9xwA0ePHmV4eJiSkhKKiorGZX9+6UtfYtWqVYyOjmI2m5kxYwYKhYKPPvpoXJVsyZIlxMfHX9IfNna7nZ/+9KecOHGC/v5+dDod06dPl3MuZWQ+AeTfKpnLxt69e9m1axcjIyOkpaXR2dnJF77wBYLBIH/84x9xuVwkJiZy99134/F42LJlCyMjI5w6dYoVK1Zwxx13sGPHDrZu3cptt91GdnY2oVCI6upqXnnlFXH/e+65598uMPzjYDAYKCws5PTp05MKgAsRDofp7u7m2LFjrFix4n99DP+bbVuVSnVJW6EXapVJM2KrVq3C4/Fw4403ioF4rVZLWVmZuJ3BYMDn8xEOh1Gr1ej1elavXj2u8qPRaOjr66Oqqgqz2Swqe1IF6vTp0xw9elRkWdpsNurr63n//fdZs2YNqampJCcnk5SUNGWuqs/no7+/f9x5iImJmVBNy8rKore3l/r6evr7+zl8+DAul4vu7m6ioqKw2+0sWLBggi9fSkoKIyMjlJeXU1BQQH5+vsiOvRSSk5NJTk6mqqqK+Ph44uLi8Hg81NTUkJOTM+E4h4eHaWpq+lhbpDIyMrIgk7mMDA0NodfrSU1NFUPlJ06cYP369WzatAmPx8P//M//0NbWRl1dHcFgkEceeYQf/ehHFBcXExMTw/XXX09nZ6doyzidTl577TWKiopYt24dPp9vXCtHZiKBQICPPvqItrY20VK8UNyQ9POmpiZ27drFRx99RGtrK1u2bGHbtm3AuarUNddcI8RKOBymr6+PV199lfr6etRqNTNmzGDhwoXj5otGRkY4evQoJ06cwOVyYbPZWLJkCRkZGaLK4vF4ePvtt6mursbv95OcnMymTZuEM77EwMAAL730EitWrECtVrN79266u7uxWq1cc801ZGVloVKpmDNnDt3d3dhstgnC/WIpBqFQiP+PvfeOjqs+8/9f03uTNBpVq1fLkuWOccGmGTvg0A8kIaTs5kB2A5vsph4SfiHZEjgpbJLDhoQlBBICmA6mE3DFtlwkW1azem9TNJpefn/oez+rsSRjG1II93UOB2s0c+fO1czc930+z/N+h0IhUcVLS0tj06ZNhEIhCgsL2bJliwgXz8nJwWw2MzQ0xLZt27DZbCgUChYtWkRBQQF5eXlcd911DA0NYbVaFxxAiUQieL1e8bPRaFywt6+6uprCwkLi8bj4vdQbJ03Nzkdvby/3338/995773lPUP76179m27Ztoo/t6aef5s4775wjurq6uvj5z3/OvffeKzI/ZWRk3h9ZkMl8aKjVajIyMsjOzhYVg7GxMRoaGti9ezcwc2KQTDrfeustXn/9dfHzfASDQSYnJ6mrq0tZxpJZGGkgQhIAoVCI4eFhLBYLkUgEs9mMXq8nkUgwPT2NwWBArVYTDAYJh8Oo1WoSiQRms1lU2GZPTgLCPV6lUmGz2ejp6eGtt95ienqaT37yk6hUKoLBIL/97W955513KCgoQK/Xs3fvXnbt2sWdd94pqlVKpZKsrCzGx8fZu3cvnZ2d3HjjjXMEWTAY5J133sHv9zM2NoZSqUSpVOL1eoWgUSgUZGZmnnd6g2RZIS0DSr2PtbW1qNVqYQHidDqFnYjL5UKpVHLs2DGRQBEKhejo6KCiokL0eS1EPB4nGAyKnw0Gw4Lv9YyMDPE6JdGYn58PkGIz097eTnt7OxqNRiw7S0a3MBNNVVBQQCAQ4MiRI3i9XioqKigsLEzZjtvtpqGhAa1WK4xs3W43hw4dEl5o0n2PHz9Od3c3oVBIbviXkTkPZEEm86EiLQ/NHpf/4x//yM0330xVVRUnTpwAZprzfT4f/f39bNy4kaKionn9oKQJsvHxcWHkOVtsyMxFq9WyYsUK6urqcDqdjI2NceTIEXJycvD7/aKPymQykZWVRSgUoqSkhOrqaqqqqti9ezf79u3j+uuvZ+XKlSnblgxGpVisO++8E7vdTn9/P//+7//Oyy+/zLZt21Aqlezfv5833niDL33pS1x88cVotVpOnTrF3XffzWOPPUZNTQ1arRatVsuGDRtYuXKlyEM9Ew0NDfzLv/wLK1euRKfT4fP5PrQon5KSEiwWS0pkk81mm/f95vV6OXjwIMlkEo1GQyAQEP2RBoOBjIyMs7KLkCZIJYxGoxA6drudn/70pyxatAi1Wj3vUvDp/VyDg4P88pe/TEkNUCqVnDx5ksbGRtRqNa+99ho//OEPeemll2hubiYnJ4edO3fy5S9/WSxnBoNB/vd//5fJyUmysrJob28Xn9HJyUmeffZZLrnkEnQ6HSdOnODnP/85y5Yto7GxUZg4y8jInD2yIJP5syJVP/bt20dLSwvDw8Mkk0kRvNzV1UVbWxsTExNcdtllHDp0iMbGRgYGBnC5XNTX17N+/XqeffZZ2traMBqNbNu2TV4KOQMajUbkUkoTfKOjo9TV1ZGdnY1OpyORSKDX61EqlWg0mhTrhrPBbDazadMm7HY7CoUCp9NJWVkZu3fvFga+hw8fJhgMMj09zVtvvQUg/Md6e3uZmJhYsDJ6Jmpqali1apUQYe/XJxeLxTh06BD9/f2sXr1aVJRm09DQQH5+Pk6nc86S+HzVnvT0dLZs2SL8xWbfTxItKpVKWF0sNMgg3TZb8M0eWDEYDGzZsuWMr+90EokEgUAAo9HI+vXrycnJobW1FZfLxY033ojT6eTLX/4yAwMDPP/881RXV6PX6+nr6+PAgQNCkPl8Po4fP87Xv/51cnJyOHDgADDj8r9x40befvtt8dr27dtHWVkZt956K2+99RaPPfbYOe2zjIyMLMhkPgSSySTJZJLa2lqWLFmCwWAgFAoJnya9Xs+RI0ew2Wz88pe/JDMzkx//+Md89rOf5cILL+S9997jueeeY926dZjNZq677joUCgV6vR6tVssnPvEJioqKGBkZIS0tbY4Vg8zCKBQK0tLSmJ6eRq1WL2joeq5oNJqUSVilUimsJ5LJJOFwmPHxcXw+H88+++wcIfJBPOSysrLOecpPoVCwc+dO4cB/Or/97W+59tprz3qpU6VSnfX7MJlMsmfPHiwWC7W1tXOOhVqtFgMGgBg0UCgUtLW1id9LHmWhUIh4PE5mZua83mY5OTncdtttvPHGG/zoRz/i5ptvxmazCSsNvV6PSqUiEAgwNTWFw+HAbDZz6623igBxmBGysVgMm82GxWI5Y8vA1NQUNpsNjUaD0+mUp6BlZM4DWZDJfGCi0Sh9fX20t7eTl5eH2+0GZmwMgsGg6FuSmp1jsRgFBQXs3r2b7u5uOjs7qampISsra8FRfMlOQebckXr7pGWwD6O/5/SqznzPaTQaycnJ4d57750jXqT0hvN9br/fT1NTE2vWrEGj0dDd3Y3b7aa2tpYjR47Q1tZGQUEBK1euRKvVUltbmzLBmUwmGRsbY8+ePRgMBqanp4GZfruGhgb6+/spKyujvLyczs5OBgYGcDgc+P1+kQMpeYfp9XrWrFmDw+Ggq6uLQCBAf38/kUiEjRs3cuLECR566CHsdjt1dXVccskl5OTkpCyL2u12kaUZCoWIRqNotVpGRkZE0oLBYMBsNuPxeIQVx3wN+oFAgOzsbL7whS/w0EMPsWfPHrZu3Trn7yVFkDmdTi677DJ8Pl/KEIRer8doNNLR0UE4HGZwcHDetgKY6WM7cuQIHo+HpqYm2dlfRuY8kAWZzAcmGo3S29srXNB7enpwuVxiucpsNhONRikoKABmTgS33HILJ06cEMHLFRUVaDQa8UUuVQiSySSRSEQsr8mcO/F4nEQicUan+NlIws3tdqf8Hc4FvV5PTU0Ne/fupampiY0bN6LT6UQDuxSfdb6oVCoef/xxbDYb1dXVPPnkk2RmZuLxeHj++edZsWIFL774IhMTE2zbtm3O4/1+Pw8++CAw06Df1dVFMpnktdde4+DBg1RVVfGb3/yGrVu38vLLL+NyuWhoaGDlypWMj4/zqU99iscee4zKykr8fj/Hjh3jjjvu4O2332bXrl1s2bJFHEeTySSGXLKysuYYqur1evLy8ujr6xMJFuPj42RnZ1NbW0t5eTmhUAiYEW/S58FqtYrl4dN92B555BEmJiYwGAxcf/31qNVqEfmkUCjIysrCZDLx2c9+lkcffZTdu3eTkZHBF7/4RSGe7XY711xzDX/4wx9wOp0sWrQIq9XKW2+9xUsvvURfXx8/+MEPuOaaa9i0aRPNzc3cfffdOBwOKisr5SqZjMw5IgsymQ+M0Whk7dq14mcpr6+trQ2lUklRURFAyni82WzG5XJhNpsJhUIcPnwYjUaDw+FgcnISu92O2+0mkUiQTCZZs2aN7Ax+nqjVakpLSzEYDGdVHcvIyCA9PZ0dO3YQCARQKpVkZ2dTV1d31kuFSqWSDRs2sHfvXn75y1/S2toqhgp6e3upqKjgxhtvBGZsG/r7+/F4PPT39+P3+zl48CBOp5OMjAwWLVo0R4wbDAbq6urYu3cvLpeLrq4uLr30Up544gnWrl3L1VdfTV5eHs899xzr16+f0/Tv9Xppb2/nrrvuwuVysWvXLpLJJC+88AJGoxG3283o6Ch79uwRr2VoaIh169bxwgsv0NDQIFzrg8Eg3/ve90S+ZEVFBdu3b0er1aJSqaisrKS4uJj6+nouu+yyeX3ZioqKOHnyJBMTEwQCAbq7u0U/m81mm1cQx2Ix2traUirSRqOR0dFRNm7cKJZV7XY7U1NTbN++nZMnT7JmzRq+853viPfDXXfdJXr7ZscoSfFWq1evFt5rUspGfX29EOsGgwGdTse//du/EQ6HhSn0hzVoISPzcUEWZDIfGMl083Rm96MAImgcZq7kBwYG8Hq9BAIB4vE4ExMTOJ1OfD4fa9asYXJyklAoJNtdfAASiQSjo6P09/dTXFyMXq9nbGxM9BLNJw4WLVrEnXfeyYsvvsgTTzyBXq9ny5YtLFmyBIVCgcVioaCgAJ1OJ07KUq9afn6+EE/p6el89atf5fXXX2f//v3s2bMHk8lEWVlZijFpc3MzO3bswOfzEQgE0Ol0/PGPfxTTorfeeitarVb0wEnLaqtXr+bhhx+msbERo9FIbm4ugUAAm82WEmg/38BCLBYjkUhgMplEnmMymSQYDLJ48WJKS0spLS3Fbrfz1FNPodPpMJlM4n0+PT2N0WgUx0CtVgtbCJfLNaeieyYhLGVG1tfXs2vXLsLhMC0tLWIJX6lUzvv4WCxGX18ffr+f4eFh7HY7S5cuxePxYLVaCYVCBINBgsGg6BeTvNJmm9R2dHSQTCYpLCwkFArh9/sxGAxCWGk0GkZGRnA4HESjUSKRCBaLhUAgQDQaxWw2i1QOSdAlEgkxkSv1FUrvFcmuREZGJhVZkMn8xXj33XeF+7tSqWTNmjXiizqRSDA8PExOTg4wU9WprKwUlQHZ8fv8SUtLw2q1otFoiEajvPTSS6xatWqOYJbQarVcdNFFrF27lkQiIU7KUnVs/fr1rFmzhpGREYaHh0WT/XXXXccnP/nJlH6xrKwsbr75Zq6//nqxLSnPUmLNmjXCkwxmGsSj0SgajUY0sPv9fiwWC9/97nfR6XSoVCoWLVqERqPhjTfeoL6+nvT0dCorKzly5AgrVqygqamJ7OzseXvVjEYjer2e1tZWvF4vg4ODKBQKqqurgRmxNzU1lWLAKiGJ1tdff52enh48Hg/hcJjc3FwOHz485/5KpRKj0cjIyIgQnKdXGhUKBSUlJQSDQQ4dOsT09DT79+9HrVaTm5s77/KfXq/n4osvBmBgYACn04ler6eiogKYO9k5WxDNZnJyklOnTtHa2kp1dTX79+/H4XCQk5ODRqNBo9HQ1dVFWVkZLS0tIuXA5/Ph9/v55Cc/OSfTtL+/n87OTrKyssT9PR4PRqORwsJCudotIzMPqrvvvvuvvQ8fV+7+a+/A+ZJMJhkaGuIPf/gDu3btwm634/P5ePzxx3nnnXfIzc2lt7eXRx99lOPHj5OdnU1TUxM/+9nP8Hq9FBQUYDKZRAi2Wq0Wy5VqtVoEkku/V6lUstHkeaJQKEgkEvT19Yn+pVgsxqJFi1KqJMlkUlQrpaUmj8eDVqslHo8zNDTE5OQkarUavV7P+Pg4zzzzDMPDw2i1WiFwpqen6e/vF7YLSqWSYDDI8PAwPp9PZJHO/ntKS2HSf/39/aJhvr+/H41Gw4EDBzh16hTd3d1kZmZisVjQ6XR4PB5aW1v5zGc+g81mo6CggMbGRp555hlisRif+cxniEajPPDAAxw8eJDOzk5GR0epra3F4XDw1FNP0dXVhd1uZ8WKFaxatYqGhgZeeOEFjh49SmlpKePj45SXlzM2NkZFRQVjY2Ns2LABnU7HM888w8mTJ7nmmmuorq6mt7cXk8lEZWVlygSq2WwWQeVlZWXzRn+pVCoyMjKwWCxMTk6KJdypqak5/X+zK05ShU0SebO9AKXq2nw/S/T29lJUVMTY2BhDQ0PAzAXR5OQkY2Nj1NfXMzQ0RCKRIBwOs2TJEtra2hgbGyMrK0v4yc1GyhMdHR0lFosRCoUYGBggHo+TnZ0tX2B9NPj//to78HFDca7NujIfGh/ZA59IJHj55ZeJRqNcccUVaDQacQLdu3cvn/jEJ9DpdBw6dIiysjLWr1+PWq3me9/7Ht/73vfQarUolUrC4bDwJSsoKJBF158JqQKpVCqJxWK88cYb2O121qxZk1I9effdd2lsbOQf/uEfiEQi3H///Vx77bVMTk6yZ88eAoEATqeTW265hX379vHoo4/icDgoKiri6quvxmq18sgjj4ilsvXr13PBBRfw5JNP0t/fL0LC389Xy+12c+rUKbxeL1arFbvdzujoKHq9nqamJi666CLxfonFYilh9slkUtg1SJW4ZDIpTIWBlNsjkYgQKCqVShwjyV9MSi1QqVTE4/GU/0vblSqICoVCDKWcfhGRSCSIRqMkk0nx/j8dSbgEAgF6eno4evSocL3XarU4HA7sdruosJ3P58VsNlNTU5Py2M7OTgwGA8PDw0KU5+TkoFKpCIfDFBUVsX//fmw2G1arlZycHPbt28fo6CgajYbNmzeTl5eX8jzSkuV8kV3yBdZHBvmP9BdGXrKUOWekfpHe3l56enpIS0sTJ2ylUkkikaC4uJipqSn27t1LQUEBFRUVKBQKent7Rf9RLBajt7cXo9EoJjBlPnxmTzRGo1GAOYJAoVBQVlbGm2++ycjICBMTE2i1WkpKSsjMzMRutzM5Ocnjjz/O9PQ0GzdupLW1lcWLF7Np0yYAdu7cidvtZuvWrXR0dPDSSy9RWlpKZ2cn9fX1rF69ek4c0nzY7XZhcyKduMvKyuat7EkV1dmvQ1pmm33bfEtkCzWen/546dhJx2whE1dpf04nHo/j8XjEa4lGo0SjUeLxOFarFZ1OR2trK0ePHhViMBqNEg6HAYSv2/DwMMPDw/Mes7MlMzOTmpoahoeHCYVC5OXlCU84KfIM5va8nT6punLlSg4dOoRGo8FsNhMOh+nt7SUrK0sEsMt9YjIy54YsyGTOixUrVnDgwAH+9Kc/sXnzZmpra2lsbKS+vp7S0lLGxsYYHByktrZWuLFfeumlHDp0CKfTKa7ypQkw+Yr5L8PU1BR6vX7eJTOXy0V2djYnT55kcHCQZcuWEY/HefHFFxkbG8NgMODxeESl6XRGR0fp6+tj165dKBQKVq1aRVpaGtdddx0vvPAChw4d4sorr2T16tXATJ8RwNDQkJjeSyQSLFu2LGX4Q/q/UqkkIyPjnN4rsxvK5+N0l/0Puj2p2nZ67udLL72E2WzG5/ORmZlJX18fer2eK6+8Ep1Ox9TUFKOjo2f9uj4IiUSChx9+mJaWFn7605+mJB2c7XFwuVxs3bpVPObUqVPcfvvtfOc73+Giiy4CZoToyZMnhV2GdFtbWxsOh2NO35mMzMcdWZDJnDN9fX0cPHhQWFo0NTVhNBpJS0sjEolw9OhRpqenKSgoYN26daJqIFVSJJRKpegtmm9pQ+bDx2g0MjExgUKhoLCwcE4l6MILL+TJJ58UDfJ+v5/Dhw/zT//0TyQSCQ4fPgz8XyVqenpaLA9mZmZSXV3NF7/4RTQajYhnKiws5LbbbuOdd97hpZdeEoLM4/EwNjZGb28vxcXFYtlv9vsgHA7zP//zP7z44ossWbKEf/3XfxWDH2dDU1MT3/rWtxYUO9/+9re58sorxXs0Go0yMTGx4BTq1NQUP/jBD0Rs0OksX76c++67L6WKZzKZ2Lp1VgZH2AAAIABJREFUKyqVimg0ikqlor6+Hp1O91eLAJs9BXk+nP53ghmxNVtAj46OEggEUCgUTExM4Ha7MZlM4vtiyZIl5ObmnnPqgozM3yvyJ0HmnGlra6OsrIz+/n56enq4+OKLeeihhzCZTCJqZcuWLbz33nvE4/EFv3CVSiUmk4lgMPgXfgUfX9RqNaOjo0SjUWKx2Jzm6tLSUiKRCDabjfT0dGKxGPn5+fzhD38Qy40KhQK1Ws2SJUt4/vnn6ezs5Nprr2Xt2rW0tLTw3//932i1WpYvX86yZct4+umnhb+WNMUIsHjxYvHv2eazs0/07e3tPPDAA7S1tXH48GGWLl3KLbfcAsyItYGBAcxms7BbCAaDJBIJYYIaCARoaWlhYGAgZaJXeq7x8fGU1x+NRmlpacHtdpOens7y5csxGo1in6QBiaamppRqmSRuLBbLHJd6qVn/TNhstgVTKj5MZlfD4vE4f/rTn2hubsZkMnHJJZcIQ9dAIMDevXtpbGzE7/eTl5fHtm3bRFxWIpHgwIEDvPvuu+h0ujlRWFKG6jPPPINerxfTp4FAgHA4TCQSobu7m0svvVRMhcrIfNyRBZnMOVNYWEhDQwNWq5WsrCwOHTrEmjVrhJu4NPU1O+sQZpqWg8EgRqNRLElJU3tydewvR3V1NTqdLqV/ShIWkUiEzMxMSktLOXz4MFarlRtuuIGenh4yMzOFbYk0gSlNMcZiMQwGA9u3b2diYoJ4PE40GkWpVHLBBRcwNDREYWEhWq0Wt9uN1Wqd03+1kNeW5CMmNexLNDY20tzcLBr6LRYLubm5RKNRIciqqqp48MEHGR4exu12Mzw8zM6dOzly5Mi8x0atVmMymYSp8b59+9i0aZPYV5PJxDe/+U2uu+46JicncbvdHDx4kJ07d57zhYWU9+lyuSgsLCQ3N/ecHn8+zPY0e++990gkEpSXl3P8+HF27tzJz3/+c0pLSxkaGuLZZ5/FYDCg1+t54oknOHHiBHfffTcmk4n9+/dz1113iYnRd955J6W/TalUsmzZMg4fPszU1BSxWIyrrrqKRx99lHg8zoUXXojf72dwcFAWZDIy/w9ZkMmcMyUlJZSUlMy5/fQT6uWXX57yczweFycxvV6P3W5n5cqVshj7CyLZH8xeUoMZsdPY2MhLL71EZmYmlZWV7N+/n/T0dFQqFVNTUwQCAdRqNePj45jNZrq7u1m3bh2RSISmpia8Xq+wUNBqtTQ2NhKJRIT5qt1u5/jx4xQUFIjnX2jpC2YqS0VFRVx66aU899xzrFq1ig0bNoj7ST5kFouFqakprFYr2dnZKVUvm83G5s2bxc9TU1NMTEwsKMiCwSDt7e1YrVaKiorIyspKaU7XaDTU1dVRV1cnbtuxYwfvvvtuiiALh8PE43E0Go1YqpSW5TUaDZFIhN7eXl588UW+8IUvoNPpxO+USqUIGJeGFk4/RrMnZ+f7/EjiVZocnY1UzVMqlXzjG99g6dKldHR0cOutt3LkyBFKS0spKCjgRz/6kfh7vPLKK9x3331MT0+jUCjYsWMHhYWF3HfffRiNRnbs2MH3v//9eY+p3W7HZDLx/PPPC7Ped999F5PJxBVXXCEmYKWpVvn7QObjiizIZM6Z8/3C1Gg02O12/H4/Xq8Xr9crPKVg7uSfzIePTqejvr5+zolPiu+56aabyMjIQK/X43K5SEtLo6urC5ipilVUVAiBkZ6ejlKppKenRyxH5eTkMDw8THl5OWlpaeh0OkKhED6fD6/Xi0ajwWq1olQqaWpqEtVUybrC7/czMjJCJBIhPz+fcDjMTTfdJAZHZi+NZWZmiirs7Cb70y0YzoVIJIJSqaS2tpaMjAwyMzPPeRvj4+O8/vrrhEIhioqKWLVqFb///e+x2Wzk5+ezePFinnjiCSKRCNPT0wwNDfHmm28SDoepq6ujoKCAp556irS0NOrr61m+fPmcz5zb7RZLuGq1GrfbLcLHJTuOhoYGqqqqMJvNGAwGgsFgypJldXW1qMqZzWYcDofIL3W73Tz55JOcOHFCeIhJRrmBQIC2tjYuv/xydDodSqWSqqqqlH64QCBAZ2cnkUgEq9XK1q1b8fl8tLW10drailKpxOVyMTY2RkdHh+gjvPDCC1Pim2RkPk7IgkzmvEkmk8TjcdHMK/klLSTYotEoHo8Hk8lEZmYmkUhEVF5sNpv8RfwXQFrag5nlwNlGsBqNRri9R6NRcnJyMJvN5OTkYLVaUavVpKWlCQHkcDiIxWLk5eWJOJ1wOIzdbic9PZ1wOEwoFEKpVJKTk0NGRgbRaBS/34/VamViYoJTp05RV1dHV1cX8Xic0dFRYYnS1dWFQqHA5XIJ6w3JVkVy8j+bKclYLEYymTwrM1KpetXQ0EBZWRlGo5FIJCL6nqT+KbvdLpY3T6e1tRWdTsf111/PI488wqJFiwiFQtxyyy04nU7effdd7HY7Gzdu5LHHHuPYsWMcPXqUyspKGhsbsdvtKBQKbrrppgVtQqanpzl69CjFxcV0d3fj8XjIyMjAYDCIuLFYLIbf7+fkyZOYTCaRjiFhsVjEMZEqlZL560MPPcQrr7zCV7/6Vaqqqjh48CD33nsv8H/Vt9nVTcnMWUIajli7di0ulwutVovNZsNgMJCdnU04HMbpdKJQKJienqasrCylF1BG5uOILMhkzotYLMbQ0BCdnZ0MDw8TDAbJyMjg0ksvFZ5PgUAAr9eLXq8XVZGsrCxUKhUejwez2YzNZqO7uxu9Xn/W4dcyHw6xWIyxsTHUarUQ1JJwCYVCIi5Jqjid/rc53Trj9Mb80tJS8W+pEjN7MGD16tUsXboUs9lMZWVlSn9YMplMSWoAhBt8MBhk165d1NfXo1AoRKySlK8IiFzU6elpOjo6MJlMrFix4n2PifQaPB6PsP8IhUJUVFQQCATEcEIgEKC2tnbebTocDtrb2zl69CgqlUpkPErC12KxMD4+zsmTJ4nH4zidTnJzcyksLKS4uBidTofFYiESiYh0A61WK/5GKpVK9G9KmZnl5eXodDqOHz9OIBAgPz+f0dFRcnNz0Wg0NDQ08KlPfWrOa52PSCTC8ePHueCCC7j44ovRaDS89dZb4tjq9XoKCgo4efKkyKft6+tjampKbMNms7Fx48Y525aC62VkZOYiCzKZcyYcDnP06FH27duX8iV8+ij95OQkzz//POnp6aLpXzq5er1eysvLRUXt9Mk0mT8/arVaLDtKP0tVT8ncU3JVTyaThEIhvF4vAFardd5hDK/XKwxNDQbDnAqPVBGRepEkY1QppFta3gTmnVaUhH08Hmd8fJyOjg70ej2jo6Pk5eURDAZxu91i6CA9PZ1QKHTWDfORSAStVsuWLVvEtKHVakWr1RIKhXA6nWK5V6rwnE55ebnYpyuvvBKXy8Vll10mBFllZSWBQIBgMMjVV19NaWkpFouFiYkJUT3etGkTXq+XiYkJgsEgKpWKsbExysrKqKqqwmg0snz5csLhMOXl5ULweb1e4vE4mZmZqNVqzGYz8XicRYsWYbPZzuoY6HQ66urq2LlzJ48//jhTU1O88sorKYLyyiuv5J577uFHP/oRWVlZHDx48KyHGuSLLhmZ+ZEFmcw5kUwmaWtrY9++fSJQWa/X09PTM+e+FosFvV4vvMYKCgrEEonJZErxqlqoOVnmz4darU45Sb/f8d+zZw933HEHkUiE73//+1x33XUplibRaJQ777yTvXv3AnDFFVdwzz33CFNQmHn/PPTQQzzwwAMYDAYeeOABUWVKJBLs3LmTb37zm/M+f2ZmJj/+8Y8pKipieHgYs9kslkozMjI4duwYZWVloiplt9uJx+PnVHlVq9V4PB527NjBmjVrhMnpfE31Cx0zlUpFbm4ueXl5QpgZDAa6urpwuVx4vV6ROCB5dDkcDqqrq8USqM1mo6urSwhkKR1DWs7UaDRUVlbO2YfZCQdFRUUEg0EGBgZYvXp1ypJiWVkZer1e/P10Oh0rV66koKAArVbLTTfdRDgc5r333iMnJ4d//ud/pqGhQXxWN2/ezNTUFG+//TZ+v5/rr78el8vFwMAABw4coLS0lGAwKKY0R0ZGyMjIEH1l5eXlJBIJBgYGCAaDFBQULChwZWQ+LsiCTOackHpXwuEwF154IbW1tcRiMR5++OE599Xr9WRmZjI2NkYkEkmZ7JOsLyKRCHq9XmQLyl/If1nO9nhLvWdTU1Mit/Sqq65KEWR9fX00NDRw6tQpAHbt2sXk5GSKIAuFQhw5coSWlhbKy8vnGKNGo1G8Xi+JREJYXoRCIRKJBMFgkGAwiFqtpqamBpfLRX5+Pj6fj6KiIkpLSzGbzWg0Gnp7e3G5XPh8PoLBIPn5+Wf1Og0GA6tXr6avrw+/37/gMXq/4+b1ejlw4AB2u53+/n7S09Nxu91s2LCB/fv3U1lZSWdnJ2azmeHhYZFTKQkyhUJBcXFxyhDD6SLwbPbLYDCwfv36lNuUSiXXX399ym12u5277rpL/Jybm8t3vvMdYKYirlAo2LBhg8igTSaTXHHFFWzfvl009qelpbF37140Gg3Nzc1kZWXh8XgoKyvjyJEjlJSUcODAAQwGg4hZeuONN7jgggv+IpYfMjJ/68iCTOac8Hg8jI+Pk5mZSW1tLRaLBY/HM+99pSWTaDTK0NAQWVlZ4oThdrtFQLTkXi7zt01WVhbZ2dn09/fT3t5OOBxOacI+deoU4+PjaLVa4vE4nZ2dTExMpATHezweent7gZmlvdlLmkqlkksuuYQdO3bg9XqZnJykr6+PX/3qV/T19Yn7ORwO4fY/e7pydrVP6lOSXP3PNW5JpVKJnrVzRfJ0U6vV5OTkkEwmxcWJw+EgPz8ftVotbD3i8Th2u33BhnapShYKhQiHwynGtgaDQTTs/7k4duwYkUiE5uZmCgsLcblcdHV1MTQ0RGVlJRdccIGoBBYVFbF06VKeeuopVqxYQUtLCxMTEyxfvpyuri56e3spLy/HZDKJzNuNGzfOmzUqI/NxQxZkMgsifelLfWEqlYpQKCSWGCwWyxlPdFIDcjKZFD1D0klOuqpWKpXCQ8pgMPz5X5TMeeNyuVi0aBGHDh2io6ODQCAgKlxSbuHExAQrV65kYGCAvr4+Tp48ybJly8Q2JicnhY3G4sWLU6qmCoWC9PR01q1bJ24bGhri+eefTxFks5Hef5IzfDKZxGg0igEBk8k07yTkfHg8Hvr6+vD5fBQXF5OTk3NeFVulUklpaakQXrW1tcJnC+Ciiy5CoVCIoQQpsWD2c0kmvePj4/T39zM2NkYgECASiaT0alZWVrJ8+fJ5BZk0DTm7sib1vyWTSQKBAIlEIsWoeT6KioqYnp4mPT1dTHLabDaWL1+OyWQS/X/V1dU8++yzdHd3U1NTQ1lZGYcPH6a7u5v6+nrS0tIYHR1Fq9WSl5dHNBrFZrPJdjcyMv8PWZDJnBG/3y8apysrK+cNT14IaYRe6qnJysoiFAqJaB6NRiMc3RcKa5b520Gr1VJaWopWq8Xj8dDf3y+Wmqanp2lubiaZTHLBBRfQ2NhIX18fR48eFdN9yWSSiYkJESYu9TF9WIyNjdHZ2Ul1dTWDg4P09vZSX1/PkiVLzqoCm0gkOHbsGOPj49TU1KBWq1N8u84Fv9/PgQMHsFqtuFwuJicngRmxlpubmzJMcTqS/UdzczM9PT2EQqEFh15CodCCn51IJCKij2BmEGPx4sXo9XqSySSnTp1iaGiIZcuW4XQ6Ux4rCULJJ05adlYoFASDQeExFwwGmZqawmKxUFhYyOc//3kxFKLT6bj22mtFVS8/P59bbrmFWCyG2WxGpVJRUVEhZ1nKyPw/5E+CzBlRqVR0d3ejVquprKwU9hQ+n49AIHDG6oPf72dgYACtVktGRgahUIi+vj4ikYjwcEokEsLMUuZvG4VCQU1NDXq9nkAgQGtra0pQ+NGjRzGbzVRXV6NUKnn77bc5evQo0WgUrVZLIpGgra2NcDhMdnY2xcXFKaJk9nvgfCpTpaWlZGRkkJGRIQSCw+E46wqMw+Fg06ZN9PX1kZ2djUajwev1ikiwZDIpfL5mX2jMh8/no6+vT5jo9vT0YDKZRHD5QtYPUpbm4cOHxbTp+aLRaHC73bS2tgIzgjorK4ucnBympqYYHh4mkUjM+xmWzGqlPjBpOjY/Px+j0cjk5CRjY2NotVqWLl0qDINP7wk0mUwiM1Or1YrUBGlZV+pJkyp353LBJyPz94YsyGQWZHbMi9TfYrfbcTqdDA0N0dbWxpIlS+Z9bDgcpqmpicHBQZxOJ9nZ2WKiUqVSCTPZZDKJTqc7K9NOmb8+lZWV4oTc0dEhbh8dHRVN6qWlpcIodHBwkMHBQQoLC0kkErS0tAAzflSLFi1K2XY0GqWtrQ2HwyH86s4WhUKB2WzGbDaL5TWp+nYugws5OTniubu6umhqasJgMOB2u5menkan0+F2u6msrMRqtYoetdPJzs7mhhtuAGYuaurr64lGo5w4cWLBqmAsFqO5uZlDhw4Jz68PglKppKCggI6ODuLxOJFIhP7+fnJyclCpVMKwdnarQCAQoKOjg7S0NIqLi1GpVIyMjJCWlkZ2drYwB47H49hsNgKBgJgWXQjJaFgSmFI6wdTUFIlEgtHRUfR6PU6nk6KiorNeYpaR+XtDFmQyZ0SqAgQCATF6v3TpUsbHx3nnnXcYGBggIyODeDxOOBymu7sbv99PZ2cn3d3dImTYYrGQSCRwuVwEAgH8fr8Qe5I4k/nbJzs7m/z8fGEKHA6H0el0HDt2jEAggMvlEg73RqORiYkJ0Qwei8U4ceIEMNNsf3p1KZFI4PV6iUQiOJ3Ocx70kHqjxsfHaW5uZsOGDXMyO89mG9LzZmdnC7EiLdVJS4dms/mMTf8qlWpeYbF27dp5759MJunp6Znj56VSqdDr9ZjNZiwWixCKkUjkrF6P0+nEaDQKv8CBgQHRz+Z2u1MGCZLJJF1dXfzsZz/jnnvuEftaXV09p89MMv2VOJMgUyqVwoIEZgRZQ0MDWq1W7IfBYECr1YpMTxmZjyOyIJM5I1I0ktS4q1AoKCsrE27px44dQ6lUEovFCIfDPP/88yQSCfGY5cuXU1VVJR6rUCgwmUzCykCj0RAIBOY1EZX528NgMFBZWcmBAwcYHBzE7XaTlZXFkSNHiEajFBQUYLPZRI5jc3Mzra2tbNmyBa/XS19fH2q1moqKijlVUYVCgV6vx+PxEIvFznvKMR6PMzg4SDgcPmdBNhu9Xk9WVhbAnAuGM4mGvr4+Ojo6MBqNhMNhETQu9WJJ8VSzCYVCNDY2pogxs9lMRUUFhYWFpKWloVQqCYVCDA0NnbUg0+v1pKWlCUHm9/vx+XyYzWZhJAszImn//v28/vrr7N27l0ceeQS73U5RURFr167llVdeYfXq1aSnp7Nz504MBgMbN25kZGSExsZGLr74YhKJBIcPH6a1tRW9Xs+qVasoLi4mmUwyNjYmxK3T6WT79u1iKVkSiEqlUq6Uy3yskQWZzPuSTCZTHPilvpGMjAyam5vp7e0VjbvSMqfT6aSuro7CwkJ0Op1wEB8YGMBgMOD1erFYLJjN5jm9RDJ/uxiNRmpqagAYHBxkfHwck8lEc3MzsViM5cuXixD5xYsXc+zYMZqbm0WEkc/nQ61WU1dXN0fUSH1Efr//jLE+x44dE7mHkUgEjUZDLBYjMzMTrVZLNBrF4XAI/68zEQqFhC/YxMQEyWQSv9/P0aNHqa6upr29XcQyabVawuEwS5YsITMzc8EK3vj4OIODg0JgSD1SwWAQv9+PXq9PEWRSdWx0dFTc5nA4WLduHfn5+SnPI2VIni3S30IybpbimCwWCyMjI4yNjbF+/XoikQhDQ0OMjIzg9/txu93E43EyMjKYnp7mwQcfxGKxUFlZyb333ovNZqOuro79+/fz3HPPceGFF/LrX/+aF198kbKyMqanp3n88cf59re/TU1NDVqtVhj0KhQKDAZDyvSn9G/Zi1Dm44wsyGTOSDKZxGQyYbPZUr4o1Wo1BQUF5OXlEQgE8Pl8RCIRVCqVEFrSCRZmXPtjsRgFBQWYTCa8Xq9YnpA9iD46aDQaSkpKMBgMjI6O4na7UavVjIyMoFAoqKurE++BqqoqlEolra2teL1eurq6hCCpqqqas21JzLvd7pRcy9lIgwGDg4PY7XbGxsZYu3Ytp06dYvPmzeTk5GAwGLBarXMazBfC7XZz+PBhDAYD4+PjBINBRkZGyMvLY2hoiGAwSCAQYOnSpbS3t/Pyyy9zww03LFjRra2tZe3ataJpXRIb0kXH6Rcf0WiUgYEBUfXSarUsW7aMRYsWfeALFckLcPZzSRY0TqdTPKfdbueGG27AbDbT3NzMbbfdRk5ODkqlkunpabKyshgaGkKn0+FwOEgkEgwPD9PT0yP61J5++mm+8pWvsG3bNqLRKHfffTcPPPAAd999N8PDwykGwdLjk8kkaWlpJJPJlNxOafJSqVSKeDUZmb93ZEEm875MTEzQ2dlJQUFBiniSfI2sVmvKl+18SCemRCKRko8o89FCoVCQn59PVlYW3d3dDA4OMjU1xdjYGFlZWRQXF4v3RVVVFVarlba2NuE/Nj09TXV1NS6Xa47zfDKZRKvViubx+VCr1axbtw6VSkUsFiORSJCenk5FRUWK8Ojr66O+vv59X49Op+OCCy7A6/Vis9mYmppCoVCwbt06DAaDWG6PxWI4HA5h13Amzzxp+U16XVLlOJlMEg6HRWi7VPkKhUKMj4+LxzscjnOuGp84cYLJyUl6e3tRKpVUV1dTU1ODSqVCp9OJQZpEIkEkEhH7IvWQSWJYuoiShBEgjkNbWxuhUIiCggI8Hg+nTp2io6ODDRs2iKD0zZs3YzQaSSaTXHbZZXzta18jHA6zdu1aRkZGUkLsR0ZGxFK3Xq+nrKwMrVYrjIOTySSrV6+WXfxlPjbIgkzmjMwOg5amzJLJJNFolMnJSaanp1PMJxdCmnrz+XzYbDZ8Pp9o4pX5aJGTkyPc2ru6ujCZTHg8HtauXZuSR1hRUYHD4aCvr4+2tjYGBgaIxWKUl5czOjrK5OSkmNqEmd6v6elpjEbjghURtVpNdnb2HIsMSSBJJsSJROKs/K0UCgV2u11M/Un9VUqlEovFQl9fn7CLaG9vx2AwMDQ0hMFgICMjY95ttrS0iElPacggmUxis9nQarWMjIzgdDqpr68X/ZeSVxjMfFbO9XORlpaG2+0W4edZWVkpofFSILsUSQUwMjJyVj1bGo2G4uJinnvuOaampqirq2NgYIBjx44xMjJCYWEhLS0togdQQuoVTSaTVFVViexN6bgvWrRIiDOVSiXi07KystDr9Rw/fvyse+VkZP4ekAWZzBmRrCrMZrMYd29ra6OhoYHJyUmi0WhKf9lCrF69mtWrVxMOh2lvbxdVFJmPHk6nk/z8fN577z1aW1sxGo0kEgnKy8tTREpxcTFZWVn09PSIIQCAqqoq4WU3W1gplUp0Op3wxzoTZ1rCKioqwuVyndOQiLTs3tfXR21tLTBTuRocHKSkpASPx8PExIRwyT/TBKjf7xeee1NTU6hUKvx+P+Pj4xQUFODz+XC5XOL+UtVKwmQynfMSXVZWlhhAmC8I/fQLJpVKxebNm0X1bvbtknCTUCgU5OXlMTk5STgc5uqrr8ZqtfLUU08RjUbJyMigoKAAgPb2durq6kgkEhw/fpyioiIhcGejVCpJT08nLS0t5XZpX2KxGIsWLZItMGQ+VshnRJkzkkwmWbRoEdPT08BM9M2f/vQnxsfHsVgsZGRknNWout1uR6PRYLPZiEQiOBwOOb/yI4pKpaKqqgqdTkd7eztarRaj0cjixYtTJiN1Oh2LFy9m//79HDlyBI/Hg9FopLy8nGQyyYkTJ1J87FQqlYgcOt/KqVQtO9cYrlWrVs1ZQgVEr5tCoWDp0qUpz7MQK1asmLOE7/F4RG/d+23jfPqlFnqMVM2WBJY0aCA58J+O1Fe2Y8cOampqcDgcLF++nNzcXFENz8nJQa/X09fXJ1IHXC4XVVVV/Md//Ac33ngjPp+Pxx9/nM985jNzUgDOZr/VavWCFUgZmb9XZEEmc0Z0Op3oo4EZB3KPx0Nubi6XX345Vqs1pV9mIaQps9lVkbS0NLlK9hFEyl+UBJlKpcJqtbJkyZKU94FCoWDZsmX85je/obGxUVRFiouLSUtLw2q1plRuotEo0WiUeDzOxMSECKUPh8PATNVkeHiY/v5+0e+k0WjQaDQiG1VCCuQOh8Niu7FYDI/HIywgYKY/sr+/H71eL7anVqvR6/WiF2w2oVAoZXvRaJSxsTHhsRUKhRgYGCAQCKTsn9lsFkLodKTKoLSUONv64oMSj8eFASvMfA4XEqsKhYLq6mruuOMO3nzzTd577z02b97M8uXLSU9PZ+nSpSgUClwuF1arlYqKCqqrq8V3wHe+8x0effRRHn/8cTQaDZ///Oe57rrr3ndZVDKHTU9Pl20vZD7WyGdDmRRisRj9/f34fD5xgp0tmnQ6HXq9HqvVKvpUzvaKXjrZSqHG72dJIPO3S1VVFWazmYGBAQBqamqorq6ec78lS5ag0+lE03p9fT1FRUXC4mF2lfSRRx7h3XffJRAIEAgEmJ6exufz0d7eDsxUZ7/73e8Ks1Ppv4KCAu68886UZcBkMsn+/fv59a9/TTAYZHp6mkAgwNTUlLCAAHjggQd47rnnMJlMYnsGg4E777xTLF1KTExM8JOf/ISuri6xj4FAgOHhYeFCf/z4cW655RbMZnPKNteuXcsXvvCFeQWHJNikKvTExASxWOxDuVgJhUIMDw+Ln3U6XUo+5+lVQY1Gw7Zt2/j0pz+NVqvF6/UKMX3zzTcTiUTo7u6mv7+fe+65h+zsbPHYoqLvnm8OAAAgAElEQVQi7rrrrnn3QxLIsydOE4mEWE598sknufHGG4XfWjweR6FQiH/DzHtFtseR+XtGFmQycxgeHl6wmdbpdFJbW0tnZyfHjx8nLy9PVBPOJMykqoPNZhMTa+dr/Cnz1yctLY3CwkIhyKqqqubt2XK5XClN33l5eaSnpzM4OIjP50uxt3jnnXf4/e9/v+BzxmIxOjo6UiKbAEpKSvjc5z43py+rra2N3/3ud2d8HX19ffT19c25/ZprrplT8fP7/Tz99NO0tbUtuL3p6WmOHj065/ZwOMznPve5eR+j0+nIyMhgZGQEmFneHBgYEE3v50symWRgYCDF38xisaTYgfj9fpGwIHHs2DGsVqvIKR0cHBSZnJFIhKqqKuLx+Dm1HEQiEf74xz8yMjKCSqVixYoVjI2N0d/fz7p160Swu/TdcOTIEUwmE6tWreLll18mMzOTyy+//IzLnzIyH3VkQSaTgkKhEFf986HValm1ahXBYJBXXnkFm82GxWIRyzELnUAqKiooLS3F6/ViNBrxer1YrVa5j+wjisPh4Fvf+pYQJ/X19cKRXqvV4vf78fv9WK1W7rnnHvr6+lAoFELk6PV6lixZQiQSYXJyErfbzdVXX01FRQXxeJxYLEYoFMJut6NQKESjuVKpxGAwcOLECZ566imCwaCoepWXl4v9UyqVrF69mh//+Mcp+51IJNi/fz+vvfYat99+O5mZmQDC2kKyZJFEh1TBSSaT4jW73e45QwenL9VK25QoKysTDfPS/kn31Wg05OXl0d7eTiQSIRAIcOTIEWw22xz/v7NFmu6UbCUkioqKUipvPT09tLe3c9VVV4nb3G632D+bzcbll18+57VKx/ps901K75A8DcfGxtDr9SgUCk6ePMnAwAB9fX186Utf4tVXXyUUCuHz+RgfH0en02GxWM65L1BG5qOGLMhkUpjttj8fkUiE9957T5w8xsfH8Xg877tdp9NJPB5HqVSSlpYmbAakcXeZjxZ6vZ4rrriCK664Apip6uzYsQO73U5hYSHT09PCRPbqq69OOXEnk0nKy8uJRqPs2rWLzs5OdDod6enpZGVlkUwmycnJQavVEgwGRS5kW1sbOTk5rF69mtHRUYqKimhqamL37t1zLiCUSiWLFy9m8eLFKbfHYjGMRiN79uzhlltuoaKigkAgwOjoKIFAAJ1ORyKRwOPx0NvbS2ZmpjCMzc3N5frrr0en03Hq1CmUSiWTk5PClywajWK328nLyyMcDjM6OkosFhN5rSdOnCASiaDVasnPzxdiU/J2czqdouI4MDDAnj17WLFiBenp6We9fCkJy8HBQRoaGub4mxUWFqbc32g00trayksvvYTJZKKmpkZUs6W/2Xyi63xEojRQoNFoRM6tdLzT0tLIzMykpaUFh8NBOBympKSEkpISkskkR44c4dSpU9TV1Z3z88rIfFSQBZlMClKvh3SyOJ3R0VGxtFBXV0dubm7Kl/dCZGRkoFKpRANvIpHA5/Oh0+lkQfZ3gMFgYNOmTajVapLJpAjCnh1eLSEFeCeTSXJzc8nMzBRGpBUVFUKAzY4aSktLo6CgQNiwSGJr165dNDU1faB9n5qaoqmpSSzldXR0EAqFRFySlB85NDTEhRdeiE6nIxgM0tHRQU9PDy6Xi0AggEKhoLS0FJfLxfj4OE1NTUxMTKBUKvH7/aL6lpaWRjAYZNWqVSnHb+nSpUxOThIMBkkkEnR2dgqrjPz8fOFrNrvylkgkxBRlMBhkbGyM3t5eenp6CAQC4n46nY66uro5n2u73U5NTY0wbY5Go4TDYSYmJuZdlpQEn3RMhoeH8fv9xONxDAYDDoeD/Px8rFarCA+Hmd60NWvWiG1WV1czNDSEVqslMzOTSCRCTk6OMPRtb29Ho9GQSCQIh8PU1dVRUlLygf7OMjJ/68iCTCYF6UvdbDbPmysnTZgVFBRwySWXiHy6syEcDpORkUEsFiMQCJCVlSUbw/6doNPpKCoqAs6+eiLZZ0jMTm84PclBEjJ/DjIyMtiwYYMQDxkZGQwODrJkyRLMZjPxeJz8/HzxuVAoFFRUVJCXl0cikRAXFNIAjEajISsrC6vVKpZZpRilWCzG2NgYFotlToN6fn4+S5cu5fDhw2Ky1Ofzcfz4cdrb28XFi9T8D9Df38/U1BSRSIRgMEgoFBJO/BJKpZKKigrKy8vnPKfBYMBisRCPxykuLha5naOjo3g8npTBm3g8zvDwMHv37mX//v0MDw8TCoXE0q5KpUKtVmOxWKiurmb9+vXU1NRgNBpFoPzw8DAnT57EZDLhdDqxWCxCZE9MTKDRaFCpVGzatEk8r+zUL/NxQRZkMimYTCYqKysJhULz/j49PZ28vLw5U1NncxKORqN4PB4xQSWdrGQ+eoyPj3Pfffdxww03UF9fz/j4OD/5yU9wOBx85StfQaPR8PLLL3Py5Em+9rWvkUgkaG1t5ZVXXuHUqVOYTCY2bNjA+vXrxdTf2NgY//Vf/8WWLVvYtGmTqM60trZy//3384//+I/U1taeteCT8hFff/11du/ejUqlYt26dXNsJVQqVYonV2VlZYqrPIDZbE5pfNfpdGe8mFAqlfP6fAELCkuNRiOyQA8fPiwqXMlkklAoNO9n0uv14vV6F9wPnU5HRUUFK1eunHeIpru7m3379pFMJuns7GTz5s3odDpcLpfYT8nLbPfu3Tz99NO0t7ef0bjX7XbT29vL7t27ueiii7juuuvIyclBoVDQ09NDa2srBoOBwsJCTp06RTgcFpOzExMT+Hw+srOzF9y+jMzfK7Igk0lBWk6A+UWWyWRixYoVHDx4kNdee43CwkIsFktKkPh82O12DAYDsViM9PR00U8m89EkFotx4MAB8vPzWbJkCd3d3fzud7/D6XTy6U9/GpvNxquvviqqOfv27ePrX/+66J8aHh7m9ddf5xOf+ATf+MY3sFgs+P1+nnzySRYtWsTGjRuFIBseHub3v/89V1xxxRwrijMRCoX4xS9+wSOPPEJpaSlpaWk89NBDKRWmvzXUajU1NTVYLBYaGxsZHh4WgwDngmT8WlNTI0x8F/JAk0xeTSaTyL6c/dmMxWLs3r2bhx56SEyCWiwWMjMzxbKuQqEQle+JiQnGx8fx+/28+uqrTE1Ncdttt5Genk5tbS3l5eWiEhYOh4W9xZl61mRkPg7IgkwmBYVCccYrf2nJwufz0d3dTXNzs1iqOdMX6Zo1a1i3bh1Wq5VIJILZbJZNYT/CmEwmlixZIhrVDx8+THV1NcFgkBMnTrB48WJaWlrYvn07fr+f//zP/8RqtfKTn/yEqqoqQqEQjzzyCPfeey/Lli1j+/btH+r+JZNJTp48yW9+8xu2bt3KD3/4Q8xmMydOnOD222+fc3+v18ubb77J3r17icfjrFq1iq1bt2KxWHj55ZdpaWnhzjvvFD1y7e3t/OpXv+KOO+4gLy+P0dFRnnvuOZqbm9Hr9WzcuJHNmzej1Wp59913aWpqIj8/n71795JIJLjwwgvZsmVLSvYj/N/UZUlJiYid6u7uZmRkRAwHzFedkkSNRqPBYrFQVFREcXEx6enpZ7zwyc3NpbKyErVazapVq3A6nXR2dorPZjKZpKWlhd/97neMjIxgtVq56KKLWL16NXl5edjtdiH2otEo09PTjI6OcvLkSV577TU6OzvZs2cP2dnZ3HzzzXNSFOTJSRmZ/0M+I8qcE1KviMPhSPEzej8sFgvBYFCYwkrNvXJD/0cTg8FAZWUlTz/9NJFIhKamJlasWEFbWxvNzc3k5+fT09PD4sWLaW1tpb29nS9/+ctUVFSIeKPt27fz4IMPsmvXLi699NIPdf8kH7LJyUmuuuoqEWVUWlrKpk2b6OrqEveNx+M89thjvPrqq6xbtw6Ahx9+mOHhYW6//Xa0Wi0vvvgiV199NSUlJSQSCd5++21aWlpQq9X4/X7uv/9+urq6WLVqFRMTE9x7770kEgm2bNlCZ2cn999/P6tWrWLZsmUMDQ3xgx/8AKfTydq1axecYjSbzVRVVVFcXIzX62V8fJzJyUmmp6dFI78kxKResMzMTNLT0zEajWKI4Ez4/X68Xi9r1qyhpqaGWCyWkmQQjUZ54403GBoawmKxcNNNN7Fly5Z58zalZVyHw0FJSQlVVVX84he/oLW1lbfffpv169enWJPIyMikIgsyGYHUKyJ5ScFcTyWn08mVV15JIBAQDf4Wi0WYRiYSCXQ6HclkEpvNJraj0WiIx+PE43H8/v+fvTONbvM+r/wP+w4QCwkSBHdxFSmRoqjVWi3ZlpXIUhw7cdKmOV1m6UwnH9qcTM/M6TpJe07bJJ2eSSc5djut0yZuaydK7cSyHSuWrcXaTJEiJVLcd4IkFmIhdswHnvc/AAlKcmp3ahn3i0QQxLvgBf73fZ773BsSxK6AjyaUSiWbNm0iGAwyOjrK5OQke/bsQS6Xc+vWLerr61EqlbhcLoaGhshkMpSWlua853q9HqfTyfT0tBCx58PaYOz7QTqdZmFhAZlMhsvlytlvKYRbwuTkJD/4wQ84deoUjz/+OLA63PLSSy/x5JNPsmfPHgwGA2+88QY1NTVEIhHOnDnDY489RnFxMefPn+ftt9/mt3/7t2lubmZlZYXZ2VlefPFFQfDkcjn/7t/9Ox566CGWlpYYGhriypUr7Ny5866VYols6XQ6sd+ZTIZIJEIymUSr1RKPx9FqtXlvbtLpNMlkcsPYJpPJRGlpKZcvX+aNN97g05/+NFVVVSSTSWQyGXNzc/T19ZFKpXjooYc4dOiQuLGamppCoVBgNBoxmUwkk0k0Gg02mw2VSkVjYyPPPPMM3/jGN/B6vXR3d68jZNIUZTKZzFv5MxgMhUp6AR8bFK70AnIwPDzMyMiICHhOJBKoVCqWl5exWCz4/X7kcjnhcBiv14vX66W8vByLxUJPTw8rKysUFRVhtVrZtWuXqKJlMhmUSiXl5eUEg0FMJlNhwvIjDrfbjdFo5MKFC0SjUVpbW1Gr1Tz77LO8++671NTUUFRUhNFoBFZd7LMnd9PpNKFQCKfTmdPyliJ1JCwvL99VRJ4PUhUuk8nkiPglgXw2pqenGRsb43vf+x6vvPIKsErIrFarMDPdt28fZ8+e5amnnmJgYACfz8dDDz2EQqFgYGCAiYkJvv71r6NWq8lkMoRCIbZs2SKOw+12U1lZiVwuR61WU1xcTCAQyDnOYDDI8PAwpaWlwhpELpfj8XhQqVSYzWZmZ2epqKhgdnaWhYUFdu7cyeXLl6mrq8NoNDI3N4fdbsfv94vX6OvrY/fu3ZSUlOQlZdlTklqtllAoJAjy0tKSsO7o6OjA7/czNzfH2NgYS0tLAMKSpK+vj8bGRg4cOCD81VpbW3E4HELikI10Os3k5CQDAwMEAoG87/GBAwfWEegCCnhQUSBkBeTAaDSKFlRzczMDAwNkMhn8fj979uxhamqKyspK2trahCeRNDUp5dplMhmhZVlZWWF4eBifz0dpaSlarVaERxcXF1NcXFwQ8X5EUVFRgdVq5Wc/+xkGg4Gqqiphlvruu+/S3NyM1WqlpaUFp9PJ22+/zfHjxykpKSGVSnHlyhWmp6f57Gc/i8FgIBKJYDAYGBkZIRKJoFKpiEajvP322xtO/W4EhUJBfX09Wq2Wn/3sZ2zZsgWVSoXX6+Xq1avrnm+xWPjSl76UYzyqUqnEdOAjjzzC97//fe7cucPrr79ORUUFLS0tOcauv//7v58T7aPX60WclEajyZlyXGvrAfDOO+8wMTGByWTCYrEwNTVFV1cXExMTtLa2cu7cOZaWlhgbG6OpqYlEIiEC0JeXl3n33XcJBAKsrKxQXl5OOp3GYrEwOzu7YTU6FAqxtLTE3r17RTrB2NiY2O9oNMrKygo6nY6ioiJKS0spKSnB7XYLew0p3L2yshKr1ZrzedZqtRQVFZFOp9dNgy4vL3Pjxg2USiVNTU15p0DzxXEVUMCDigIhKyAHLpeLY8eOCX+l5uZmcecqjdCv1X6tbWtmLzYej4d33nmHcDhMSUkJgUCA9vZ2uru7cblcnDhxotCS+IjCYDBQVlbG6dOnhYO9zWajqKiIwcFBTpw4gUqlwmaz8Wu/9mv8wR/8Af/jf/wP9uzZg9/v5+/+7u+or6/nscceQ6lUYjQa2bdvH6dPn6a4uJi6ujoGBwe5fPlyznZjsRhDQ0OCXIXDYW7evMlbb72FXq+npaUFg8FAS0sL+/fv56/+6q9QKBSUlpbS3d3N4OBgjtBdcs2fnZ3l5MmTKJXKnFYfQHV1NU1NTZw+fZre3l6efvppQSCam5vFhGFdXZ0IxM62dbmfmw4p19PlconqWTQaJRaLEY/HSSQSKJVK0eadmprC4/EwPj4uDF21Wi0mkwmXy0UwGESj0aDX6zfMptXpdMjlcsbHx1Gr1YIQS5m1crlcRD6l02n0er3Qt22EfN6FwLrPeSQSIR6Pi2GCDyoRoIACPqoorIQFCEgtjuy76bW6lLuRp3x5fvF4nFgsRk1NDdu2bSOdTguzTafTWdCRfYQhk8nYvn07586dY+/evahUKiwWC3v37mVlZUU4wKdSKR577DHMZjMvvPAC3/jGN9DpdBw8eJDPfe5zVFdXi0X+y1/+MjqdjldeeQW5XM7WrVv5yle+wte//nVUKhWBQIBYLMa3vvUtbt26RSQSwWQy8eabb3L58mWMRiNf//rXqa+vx+Fw8Id/+Ic899xzvPDCC2g0Go4cOcJv/uZv8td//dfi2na73Xz+85/nu9/9LrOzs9jtdubm5mhoaOCLX/wiKpWKoqIiHnnkEb75zW9it9vZvXu3OA8dHR0cP36cP/uzP+PChQtotVqmp6f55Cc/mWNwei/s37+fmZkZrFarMJJVKBQ4HA50Oh0PP/wwXq8Xu91OOBymrKwMvV7Pzp07MZlMbN26leXlZfR6PQaDQWRzVlRU5K0+waqx7MTEBIlEgoWFBQ4fPkx5ebkYIDAajRiNRrxeL2NjY6LSeL9EaW5ujsXFRRQKRY6PmwSVSoXRaCx8DxRQAAVCVsCHDKmlGY1GGR0dJRQKUVNTI8hY4Q74o42nn36aT3ziExiNRuRyOXq9ni9/+cv8xm/8BtPT0yIgure3lxMnTnD06FESiYQIGM/2x5LL5dTV1fG1r31NaJikVt/evXuZmJjgJz/5CU8//TRf+9rXNvTnkiYqZTIZ9fX1/N7v/R7RaFRsM5PJ4Ha7RbC4XC7nM5/5DLW1tbz11lt4PB5KS0vp7OwUREEul/Pwww8zMjJCXV1dzqCAXq/nN37jN2hubqa7u5toNEpDQwP19fXCJf/YsWMiRkqtVrN//34sFktOpc5iseTsuwTJLV8mk+FwOADEv5BrNCsd09p4pLWPSVCpVCQSCUZGRlCpVOj1evbt2ycq5NIwhtfr5Z133qGrq4vKysq8530tYrEYZ8+eZXFxEZVKtS5XVK/Xo1ar8fl8eac2Cyjg4wbZzzPBVMAHgn/TJz6VSgkxtcViEZWxRCJBKBS679cZGxsT02kWi0VMVGm1WrRaLQcPHvyQjqCADwPhcJgzZ86wuLjI1q1buXnzJslkkpqaGsxmM/39/djtdqqqqnj++edpaWmhvr6eN954g/LycqG7GhwcpLy8nLKyMi5fvkxJSQl79uzJIRoS5ufn+dGPfsTy8jI6nY6SkhK8Xq9w7e/p6cHhcLB582ZeffVVSktLqaur4+LFi8jlctra2giHw0xMTFBTU4Ner+e73/0uBw8e5LHHHtvQUf9fE2szKiVt2ocNKclgZmaG/fv309LSklMVT6fTfP/73+fv//7vSaVSbNu2jc997nNUVVVtSKLi8Ther5ef/vSnvPjiiwSDQbZv385/+k//aV3I/NTUlMjrLCoqWueZ5nA4CsM///9QYMj/yihUyArIC5/Px0svvUQymeT48eNUVVUBqxNpr7766n2/TiwWIxaLYbVa2bdv37q8wgI+WpAI+tzcHDdu3CCRSPD444/zD//wDxQVFXH48GEuXbpEIpGgubmZAwcOkEgkcLlcPProo7zwwguk02lKSkro6ekhGo2i0+k4cuTIOpNUCYODg9hsNhobG/nxj3+MxWLh5MmT/OVf/iVKpRKbzcbNmzdxOBxEo1EcDgfpdBqlUsmhQ4f43ve+R1VVFceOHeOHP/whBw8eZMuWLRw8eFCIxicnJ4lGo8zPz1NcXIxWq8VsNr8vr71/Cebm5piengZWdV2Sm/1aLC4uYjabmZubw2Qy3XP/MpkMS0tLLCwsAKtVqcrKSvHZi0Qi+P1+1Go1Fy5coKKiIqfiJpfLOXToED09PVy7do0rV64wMTFBe3s7DQ0N2O12oUOLx+MEAgEmJye5fv06o6OjIr/21KlTyOVy3nzzzZz9S6fTpNNpvF5vXhL68MMPF2KUCvjYoEDICsiLRCJBMBgklUrlRM3E43EWFhbWac02gmRhIJPJNtSxFPDRwZ07dxgYGBDO7JKtheQwv7S0RCqVQq/Xo1Kp8Pl8aLVarFarCKw3Go1YLBa2bNlCJBJheXmZ+fn5nGtK8raSy+VoNBrC4TAajQatVksikWB+fh6DwSDsINra2qivryedTtPT04Pb7cZqtYoqTiaTwePxoFQqMRgMpNNpfD4fNpsNuVyOz+cjk8ng9XqFLk2yvrgbpBsOqWULq9e8JKiXSKY0ibyRa/709DQXL14EVluUTqeTc+fOUVxcjNPp5NKlSzQ3N3PlyhWqqqoIh8MEAgGqqqowmUyMjIzQ1tbG5OQkSqWSPXv2CLI5PT3NhQsXyGQy2O12SkpKhEN+MplkenqaeDxOY2NjXo2o0+nkV37lV0ilUvT19TE3N8err77KG2+8IfzPZDKZkCZI7WbJA+4XfuEX2LZtG6lUisOHD7+v6+3DCpQvoIB/iygQsgLywmazceTIEeLx+DrNiKT1uR/X7fn5ebq7uz+s3SzgXxlutxun0ynsDPR6PXq9noceegibzUZ/fz/19fVs2rSJRCLB5OQkDQ0NNDU1odPp2L9/PzabjVu3bhGPx3G5XPT29vLaa68Ri8VwOp2oVCqKi4vZu3cvsBr2PTs7SyqV4tixY8RiMfr6+jh58iQymYzu7m5isRjBYJCZmRlqampobm4mFAphMpk4evQoGo2G4eFh9u7dS0VFBY2NjYyNjeF2u3P0TdlWFvcDyTairq5OPBaPxzl79iyNjY1iSnlkZASj0Xjf1Z54PE44HOYTn/gEAwMD6PV6xsfHKS4upr29nb6+Purq6rh69SqhUIiKigqmpqZEMoE0BZl9I5RKpQQBlgiZTqdj06ZNTExMMD4+ntegVy6Xs2nTJr70pS/xyiuvcPbsWZaWlkgmkxvKF3Q6Hdu2bePJJ5+kubkZpVKJQqEoVLsKKOAuKBCyAoDVO/3p6WkxFSdpvPR6PRMTE2QyGbFoKRQKKisr6ejouOfrDg8P09fX92Hv/scOa9u+a/VHGz32L0VJSQlPPvnkusf37NkDrJInCe3t7bS3t9/zeaWlpcLaQaPRMDc3J9pgsCrSv1vWZTYZ2rRp04b71tnZKR6z2+0UFRXh9XpZWFhgbGyMqqoqfD4fZWVlWK3WvC3UsbExfvjDH1JRUcGOHTu4du0a6XSayspKXn75ZW7fvk0ymcRkMtHX10dJSQnt7e2cPn0ah8PBE088QU1NzYbHIkGhUOByuZDL5czMzOD1eqmsrMRsNtPb24tKpcJutwu/sWAwSGVlJWq1WoR9S9BqtSiVSpLJpKh8SxOPKysrTE9PYzabaWhowGAw5N0fmUxGeXk5v/RLv8Thw4fp6+vj9u3bzMzMEIvFhB+Z1WqlsbGRtrY2oSsEcgyBJaRSKWKxGGq1el1lLhaLie+hgrShgI8LCoSsAGA1XPntt98mEokQCoXQarXI5XJaW1tFO6KlpQVATKvdD1QqVWGk/QNGMpnE6/WSTCbFBF0qlcLr9eJwOHIirAKBgDAo/decapXIYL6hIWkfpH8lawUJ99Om2uj11772RpBsHZaXl0W1RyaT4ff7GRsbY9euXTmTlBKkVqTknxcMBunt7SWVSjEzMyMMUmOxGDt37mRubo5oNEp7eztNTU1UV1ff89hglYRK7b2jR4+uSziQy+XIZDJRvZZ+L1X4sp+vUqkEuU0mkznJBSaTCafTyfz8fE6GpfTcaDSa40Oo1WrZtGkTmzZt4sSJE2QyGRF6rlKpGBoaori4GJ1Oh0wmY3l5mZWVFTKZDA6HQ6QPSOeyu7ub+vp6ysvLc7Y9MzPDxMQEnZ2dd/U8K6CABwkFQlYAsLoIPvHEE8IQE1Y9x5RKpTCFlNoZdXV1WK1W8by7LfTZi0EBHwzGxsZ47bXXhDFrKBTCZrORSCTo6+vDbDbj9/sJBALU1tbi8/moqqqiubkZmUyGx+MRrSa73Y7ZbL4ngUmn0/j9fvx+PwBWq3WdbUM2QqEQY2Nj9Pf3MzMzQyQSQaPRUFxcTHNzM3V1ddhstnu2B+PxOPPz8yQSCWw2GxaLRQjVe3t7RYC45G9XXl5Oc3MzTU1NOVUXn8+H3+8XGjbJRywQCNDT00NlZSWVlZWEQiHm5+fFOZFsO4AcDZxKpSKZTLKwsMDi4iLLy8vI5XJcLhd1dXUMDw+LgG9Y/YzMzs5SXV193wRjI3IpOfNLDvxS+zEajYoKd2lpqTgGpVKZo2/LNomdmpoilUrx9NNPc/r0abxer7Dn6O3tJRAIiOqc0+nE7Xav2y9p+7FYjIWFBUZGRpiZmRE5mTabjdHRUVwuF9u3bxfbXllZYWlpSdzoZcNgMLC4uEgkEikQsgI+NigQsgKAVfIlVVvWIplMMjAwgMFgYGhoCJVKxfT0NENDQzQ2NuJ2u4HVu/R0Oi0WWcnZu62tjbKyssJ05X0iHA7zz8gsV0UAACAASURBVP/8z0xOTnLw4EG6urrENJpCoUCtVtPe3o5arcZisbC8vIzBYBCiapvNhs1mE9ohyWRUWpTPnz/Pyy+/DMAjjzzCqVOn7jlwEY1G+ad/+icuXbqEQqHgC1/4gmgFZkPKJ3z55Zfp6ekRLu3ZePvtt6mvr+fEiRMihFzKnIzH42IgQCaTsbS0xLe//W1mZmY4efIkx44d49atW5w+fZqxsbF1FbKenh7u3LlDXV1dDiHr7+/ne9/7HpFIhLa2Nv79v//36PV6QeIkmEwmoXPKZDK89tpr/OQnPwHgscceY+/evWzbtg1YHXxJpVKUlJQwPDwsHO1fe+01kcGo0+nQ6/W43W5u3bpFMBj8QAhGf38/Z8+epaamBq1Wy8LCgvi8LS8vCyPetZA+oxLUajULCwtcv36daDSac86Ki4uJxWLi8XtVxSUt3sTEBC6XC51OJyq1JSUlwuhWgpShKRG6bGg0GlKp1IZecwUU8CCiQMgKuCfS6TTLy8tisk6hUIj2jMViEQQrlUoJTY3dbsfn86HRaIReZXx8PGfkvoD8uHTpEleuXOHTn/40paWlZDIZent7GRsb48SJE1RUVFBRUbHu7/LlIwKUl5fnLLRtbW2cPXuWUChEf38/hw4dEoaiG8Hj8TA0NASs6shqa2vzVseGh4d54YUXGB0dRSaT4XQ6cTgcGAwGVlZWWFhYYGFhgYGBAb773e/y9NNPs2XLFmC18nf9+nV2795NbW3tutf2er3cvn2bf/zHf2R+fh673Y7JZBLmppFIhEAgIEhKNpqamigtLWVkZISJiQkmJiZobGy867UYDoe5ffs2mUwGi8VCa2srZWVlopWp0+lEW3F5eZmpqSlWVlZoampi69atGAyGnGzL+9GO3S9aWlqoqalBqVQyOztLZ2cnOp0OlUolqoUSJD0W/L80DglVVVXs37+f0dFRHn744Zx2cXl5OSUlJTQ2Noqq4N0gl8spLi4WXnLZ5zafmaxUWY9Go+syK2OxWE7aRygUQi6Xi2nWVCqVE0hfQAEPAgqE7GOE7HakQqEgmUyiVCpJJBIEAgEcDofQ0qysrBAKhXA6najVanbt2gWsLgQbVbqku91r167hdDpJp9MYDAaRtVdRUUFJSYloiXyckUgkeO+993j77bfJZDIcPXqUtrY2XnrpJf7pn/6JYDDIG2+8wTPPPMOFCxd47rnn8Hg8dHd3c/z4cbZt20Z3dzfnzp1Dq9Vy9OhRqqqquHz5MpFIRJCnz372s+sqn6WlpcJCYWZmhpGRkbsSskwmQ09PD4FAALlcTn19PU6nc53JZyAQ4PTp04yMjKDRaNi9ezeHDx8W4vR0Os38/DyvvfYaly5dYnZ2lpdffpmysjKKi4ux2WyEw+ENF/7h4WEmJiYIh8McP36c9vZ2nE4nGo2GRCLB4uIi4+PjlJeXr7s2zWYz27ZtY2RkhEAgQF9fH7W1tRtWBjOZDHfu3GF+fh5Yzbusq6vbkACYzWY++9nPbngOP2iYzWZRAZOc/PMhlUoxPz8vwtkVCkWO0arP5+PKlSskEgn8fj81NTWClEkTmmq1mkwmIwYCpqam8Pv9okV6P1AqlezcuTNn2waDQUy/SsQaVj8bw8PD6HQ65ubmGBsbY2lpSeyfXq9HLpcLIl9AAQ8KCoTsYwTJsFGa0JqdnaW8vByDwcD09DSVlZX09fWhVCrR6/UMDAzwyU9+UmQNSpAqMbFYTIiLJafxhoYGqqqqcgif9MUpReUUsAqVSsX27duZnZ3lb//2b/nqV7/Krl27GBsbw+v18uSTT1JaWorFYmHz5s24XC6eeuopSktLmZyc5MUXX2Tv3r0sLS3x3HPP8Vu/9Vtcu3aN/v5+nn766RwfrGzo9XpaW1vp6ekhFovR3d1NV1fXhsMXwWCQwcFBEokERqORLVu2rJuKS6fTXL9+XRDBrVu3cvLkSUwmU040UmlpKSdOnMDr9dLb28v4+Di9vb0cOHAgR3ieD7Ozs+j1ep566il27NiRcy2p1WpcLteGtgpKpZKmpiZsNpvY9r59+zYkovF4nIGBASKRCLA6MXqvCtG/NaTTaWZmZhgcHBTESa1W57QyFxYW0Ov1HDlyBIVCsa5SJb3OwsKCINJLS0skEgnhMXg/0Ov11NfX51TuDAYDVVVV3L59m2AwiNVqRSaT4fV68fv9NDU1EQgEWFlZEe3OpaUlMZlZQAEPGgqE7GOE5eVlzGYzsViM8+fP85nPfIZz585x8OBBBgYGWFpaorKykunpadRqNQ0NDeumn9LpNKlUCp/Px7Vr11AoFMTjcZLJJBUVFWzZskVE0Uh6Fa1WW8itXAPJJLS/vx+Px8OdO3dIJpO43W7KyspQKpVChK/X6yktLUWtVtPc3AzAe++9x4ULF0gmkySTScbGxvB4PKRSKbq6uti3b9+GQfByuZzNmzfjcDiYnp4WIuxswbYEKd5mbGwMWPUhy7aZkLC8vMyVK1eIx+PodDoOHDiQQ8ayj9tisbBr1y4Ru3Tjxg22b98uFvfR0VHcbve6RTeTybB161a6uro2JPYbXWOSbUNDQwPvvvsuHo+Hvr4+iouL8/6N3+/n5s2bZDIZiouLc2w6pCpy9o2IdF7X2jtk/z8SieSYLGcj288rmUyyuLj4c9+8pNNpIpEI8/Pz3Llzh0AgIH5nNBpFS/HatWu89dZbjI+Pk06nMZlMHDt2bF2U1OzsLN/5zne4dOlSjv7s/X6es/8WVqt1jY2N6HQ6xsbGmJycFPvY0dFBVVWVuIY3ascXUMCDhAIh+5hheHgYp9PJnj17uHz5MhUVFczOzrK8vExxcTF2u51UKoXVamVgYICpqakc7cvi4iLvvfceCoWC6elpioqK0Ol0OBwOVlZWcr50M5kMY2NjzM3N0dTUhEwmE3fg0sKVPQSQPRL/oGN2dpb//b//N6dOnaKtrU1olTbC2sUvnU7T0NDApz/9afR6fY5Wz2QykU6nRRUjmyhIxLioqIjGxkamp6fx+/3cvn0bl8u1rkqWSCS4desWkUgEmUzGli1b8racfT4fU1NTAJSVlVFSUnJXciS1rsPhsJjCVCqVYhIzH5nU6XS0tLQIoiJNFErnA1aHD1QqVV6huFqtZsuWLfT29hKJRLh58yY7d+7MezwjIyMsLCwgk8lobm7GbreL45HIs5QikEqlBBGNx+Oo1WpMJpPQQUmJAUNDQ9y4cSOvUD178jEYDPL666//i25gpH3K3pZMJsvR19ntdnbs2EFHRwdKpRK1Wr2uCphMJnn11Ve5evUq6XRaVCJtNht6vf6+91Gj0eT1OFOpVNTW1lJeXp4z3S2Fzm9Ebgso4EFEgZB9jGAwGDhw4ACVlZVEo1EaGhpE5l9FRQUqlQqTySQqIA0NDeu+BP1+P9euXaOtrY1Dhw7hcrnuOn01OzvLhQsXMBqNDA8Po1KpCIfD1NTUEA6HhcO6TCbj0KFDecOl/60ju0oiEQOplbvRIhKPx4lEIthstnVVjLWQFvXu7m6Gh4cpKSmhpqYGlUolqp4rKytiMY3H47z33nvE43GKiooYGRkRJMfhcFBdXY1cLqezs5Pz588Ti8Xo6emhq6trnd5seXmZ3t5eYHUBX2snIUGK34FVfZMUTr8RpIB56RpYXl4mk8mgUCiEB95aaLVaXC6XOKfLy8tcuHABrVbL3NwcVquVUChEZ2dnXgG9TCajqamJ8vJyBgcHGRkZYWpqivr6+pz3KZlM8t5775FMJjEajbS3t+dUq0KhEAMDA2g0Gqqrq8lkMiwuLuLz+aiuriYSidDS0sLw8DArKyu0tbVhMBhIJBKEw+ENW7IS0un0hpW0nxdShbCpqYl4PE4wGBSWJ1LVWy6XMzQ0xKZNm4SP2Pz8vKh8Shmihw8fpqSkZMMK7PvdL5lMto5AZ/vMFYhYAR8XFAjZxwjSZN7Y2BgrKytEIhEGBgYwGo3EYjEsFgt79uwR+X13q1YZDIa8ratsyGQyUUEIhUJYLBZWVlYoLi4mkUiQSCRQKpWYTCZ0Ot19m83+W0MsFuPOnTvCBkGj0WA0Gjdsu8GqsP6RRx7hpZdeoqGhgSNHjogFzu12i0piLBZjYmICp9OJ1+vlj//4j/n1X/91tmzZwlNPPcVbb71FPB5nx44dNDQ0UFtbi9lsRqFQEI1GCQQCxONx0aoOBAJigSsrK6Ompobbt28zOjrK3NzcOkI2ODjI4uIiMpmM6upqysrK8i6QgUBAHNutW7f40z/907supKlUSpBQyfLC4XBQWVlJUVFR3oVYoVDkVLMkb7xEIiGqUslk8q6tPoPBQHt7O0NDQywvL3Pr1i2qq6tz3qe5uTkmJyfJZDKUlpauc/9va2tj06ZNBAIBca4bGhpIJBJiIMZqtdLV1QUg9kd6raWlJYLBoBDaf9hQKBQiWcBkMjE6OirizKQMz3g8TmtrK4ODg0JvJ5PJWFxcFMHk+/fv58SJE3ntND5opNNpPB4PFoulMARUwMcGBUL2MYJUQXE6nSgUCnw+HyUlJSwtLTEzM0NDQ8OHQookM8qNgoU/6vqQQCDAxYsXkcvlYgBiamoKh8MhFnrJOkSyZigqKuLIkSM89NBDwrhzZmYGs9lMY2Mjcrkcj8dDJpPh0qVLZDIZOjo6aG1tpaWlBaVSyYEDBzhw4EDOvpw4cQLI72Av2ZBIRMdsNrN161ZRybl+/XqOFUQ0GqWnp4eVlRW0Wu26SlE2sifu4vE4Pp/vvs5ddqC4RqMRBCkf1oZzW61WTp48mTP1e6/rSKlU0tLSgsPhEFOre/bsEfYUqVRK6CkBtm3bto4QSHE+/f39jI+Po9PpxDRiMplkZmYGl8vF5s2bc1rAbrcbl8tFKBQiEAiwuLjI/Pw8Ho8np3KWnT/580CqOqlUKhwOB1VVVVRXV4ug9dLSUlpbW0kkEkxMTFBXV4dGo8FsNlNWVpbTnpV0b9IASj7Rv4R4PC4ilNbGdr1fKUI8Hqevr4+WlpYCISvgY4MCIfsYQrrDlTQdbreblpYW0ab4oJBIJPB6vQDC6DMb8XicmZkZysrK0Gg0hMNhEU69kUmtBGmCLHv8/8OENPYvLXZSNUzSwNXW1tLU1ITD4RDTZ9nkNh6P87Of/YzZ2VkMBkOOhQSserTV1NRgt9vp6ekBVs/Z/v37OXXqFKlUKseGYO2+ZWOjVqlU+ZQgl8tpaWnh7NmzYrDA7/djtVrJZDIsLCwwOjoqhO3SvuZDNvGoqKgQAwn3AylMXKPRUFpaek/3/rV4PzojiZDU1dWJ6s/t27cFIYtEIvT394tYKqlStBZSm39ubk60GEtLS0VepMlkyksO5XK5uGZdLpfwT7t69SoDAwMAIklAEudLryVVDSUCn8lkRJUt+5ypVCq0Wq2wldBoNDmESKfTifdy06ZN4nqStIXZ51HarlqtvqdmzOv1MjIyQmlpKcvLy9jtdhYWFjAajWzatOl9kbJMJnPP1m4BBTxoKBCyBxTRaFQInBUKBbFYLKe6Ibm6S1/aG92RS/5OkuP64uIimUyG5eVlJiYmNtx+MplkfHycvr4+tFptXm2Y5LW1f/9+YbZ54cIFdDodZrOZ5eVlUqkUZrOZaDRKLBYTd/mBQICzZ8+ybds2EXr+YcLj8RAIBPD7/SgUClQqFWq1mnQ6zdzcHNXV1Xn9ryQoFApR3ZIWWp/PR2trK+FwmOrqahELZDAYkMvl6PV6rFar0Nek02lBcDUajRBtp1IpgsEgoVCIhoaGdU7w0WhUDExIWjMpgLqsrIz6+no8Hg/z8/MMDg6yY8cO0uk0d+7cEe3K9vb2ddN32ZDeF1g1AT116hQrKytMTEyQTqdxu93imsxkMlRVVeUIyDOZDLOzsywuLgrn/p/n5mBycpLx8XEeeuihDZ+jVqvp7Oykt7eXcDjMjRs36OzsRK/XMzc3x9DQEDLZai7kWr81CQqFgsrKyhyDXqlCd7frYO1rSL5gZWVlDA0NkUqlUKvVVFZW4vV6xQCNUqnE7XYTCATo7OzEbrfj8XgYGBjA5XIxMjKCXC4XEoDm5uYc02b4fxPS2Yaqayuea/dbr9ej1+uJx+MiRHyjY4tGo4yOjjIwMEA4HKazs5OBgQFqamqorKwU0V7FxcXU1dXh8/kECV0LyRuxgAI+TigQsgcU169fZ2pqCqVSiU6nY3p6mrq6OmKxmPAZu3z5MidOnLirg3goFOL1118XOhKpKnTr1i2Gh4c3/DupopRMJqmvr8/rLA8wPz/PG2+8gd1u5/jx4zidTtG+O3PmDCqVisrKShHSbLfb0Wq1jI6OMjU1JWJsPmxIsTiSPYBSqUShUIiMxXtV9JRKZY7mTpoQzCeMltz5IXeBTKVSXL9+XeT7JZNJlpaWqK2tJZFIbCiGf+eddzCbzbjdbnp7e7HZbHR2doqpy/b2di5dukQ0GmVgYED4xvX395PJZEQb9W4+XCUlJcJ7zufzEY1GCYfDDA8P4/f7uXPnDuPj45SVlaFQKLDb7esqdpKuSvL+ul/cuXNHDATMzMxw+fJl0um0MKR1u92MjY3hdrtF+6u2tpaKigpu3brF6Ogo8/PzVFdX09/fTyQSQafTsXnzZqLRKDdu3NiwXZv9/kit60wmw4EDB8S2pDipGzduYLFY6OrqymnDyWQyzGYzarU6J/jbaDSK91apVOJ0OolEIqIaGY1GWVhYwGq1YjabMRqN4mYl3yRnNBrl9u3b1NTUrDv3G6G4uBin08nw8DDDw8N0dHRsePPmcrl44oknCIVCBINB3G43bW1tqFQqVCoVkUgEr9cr/j4UCjEyMoLZbF533aZSqbyxW8lkUlSlC079BTxoKBCyBxRSZt/bb79NNBoV2XKSA/ZDDz2E2+2mtLT0rq9jNBrZu3cvExMTTE5Osri4KAxh79aCkPyzKioqNrQWgNVQ88cff5wzZ87k3BEPDw9TWVlJY2Mj3/rWt+jo6ODUqVP85V/+JUVFRRw4cIArV678fCfn54DD4cjriJ6tW5L+HwqFOHPmDOfPnxfZhZ/73Ofo7OwkkUhw9uxZzp49i9frxWQy8fjjj3Pw4EFUKhU//OEPmZiYwGw28+6776JUKnn00Uc5cuQIarWabdu2CXIsVax0Oh2JRAKdTpeXNEgC+kwmg8lkytF7SWL9yspKRkdH6e/vx+fzEYvFGB8fB1bjdaqqqu66+JWVlWGz2ZidnWViYoKFhQUqKyvp6upCLpcTjUaFHiuVSuW9HoxGI6Wlpe97eu+nP/2piBCy2+2Ew2FCoZAIYO/q6uL69es4HA6xXaPRSGdnJ4ODg6JSY7PZuH37tgjnbmlpYWpqir/6q7/ij/7oj+7pCyYd5wsvvEBbW5vYViAQ4LnnnqO4uJjNmzfnbWVaLJZ1hEzya8t+r6qqqsTvHQ4Hhw8fFu1eWCUswWAwrwccwNWrV9FoNBQVFd0XmXE6nezYsYOpqSnefPNNWltb12njJEjtdOl9zHeM+/btyyH2Vqt1nckvrAaPv/vuuzmP+f1+vF4vcrkctVq9oQlwAQV8VFEgZA8oJK+g1tZWZDIZfr9fuKxLlRGz2czMzAx1dXVkMhm8Xq/QeiWTSRHyXFtbK1oOt27d4rXXXqOxsZHOzs4Nty+13PR6vWiP5UMoFOLy5csolUoikQjDw8NoNBoqKioYGRkhEonQ2tpKNBrlnXfewel0otfr6enpYW5u7l/lDlmqjMFqlUGtVosKGeRWSRKJBN///vd5/vnnOXr0KO3t7czMzAiNTzwe586dOzgcDlpaWuju7ub3f//3BfkcGRnhz//8zzl69Ci7d+9mYGCA3/3d38XlcrFt2zYcDkfeKdh7kaWlpSVWVlaE2Dv7+RaLhZaWFiYmJvD7/YyNjREMBgkGg6jVajZv3pzX1ysbFouFtrY25ubmCAaDvPvuu5SXl4tW9L32UWqffuITn8irN7wbJP+v5eVltFottbW1tLe3MzIyQnl5Ob29vbhcrhytoUKhoL6+nuLiYubm5rh16xZlZWV4PB5gdZJSav3G43Heeustkskk27Zto7a2lunpaa5du0YikRBTlyaTia6uLs6cOSO2Mz09zY9//GMuX77Mww8/vC66SILRaESr1eZt022kkdPr9YRCIRYWFnC73cBqJTa7+hUIBDCZTOIGSqPRvK/pTqVSyWOPPcb4+DiXL1/m2Wef5amnnqKtrW1dS/ReWJsEoFAoKCoqwmg0rjsn+c5TNBrFZrPltMcLKOBBQoGQPYCQIoxg1Tsq+45cMgpVqVTChV8ibGfOnBH2CAaDAY/Hw6OPPorT6RRtB6fTicFgwGw2b9iGvF+YTCY+9alPEYlEsNvt6PV6jh07JvymzGYz8Xicqqoq4fO0Y8cOZDIZs7OzbN68mZKSEiF4l45Patd8UDFN09PTJBIJ4vE4KpWKpaUliouLqampWbcwLC0t8d3vfpdf/MVf5Itf/GLOxJlMJsNoNPLLv/zLBAIBotEobrebV199lfn5efGe6fV6vvSlL9Ha2sr09DRXr17lxo0boj0r5UJmv6+SlkwSfEvVukwmQ3Nzs7CImJ2dpaKiIme/lUolW7du5eLFi/h8Pq5fvw6sEpGysjJB6mG1ciFtI3vbALt376a/v5+pqSnOnz8vhhKKiopEVURqZUteWFLgfHl5OXK5/Oea8q2pqWFsbIyWlhZUKhVWqxWVSkVRURHt7e38n//zf9ixY0dO5U0igI2NjXg8Hqampuju7hZWFq2treIYb926RUdHBxqNhr/4i7/gq1/9Kj6fj3A4TDwe51vf+hZf+cpXcsinBI1GIypzpaWl2Gy2DYcELBaLyM6Uzr8UFWQwGDAYDASDQZLJJGazGY1Gw+LiotAySiQ6k8ngcDiIx+M8//zzPP7445SXlzM/P08wGCQWi+Vsu7u7mzt37ojzslYnplAoqKurY2RkhFu3bvHNb34Tt9tNRUUFDocDnU6Xc83lew2lUsmhQ4dydIgOhwOz2Zy3FS4NTWRXUpVKJR6PRwwqSEbIBRTwoKBAyB5AhEIh4TVWUlKCz+cTuqfFxUXsdvs6MiFpVNLptGg32O32dQJxvV6/7jEJqVSKTCYjFr5MJkM4HMbr9ea9s1Wr1eu8zLZu3crc3Bwej0eQq6WlJTKZDFarFa/Xi1arpaioCI1GI8T26XRa6Jik2JkPqqUhTZcFAgGRAyoFMK/FzMwMyWSSzZs3i4Um+5iXl5d5/vnnuXTpEmq1mkgkwuLiYs5EWW1trRCTS8eabbIaCASIRCIkEglUKpVwjY9GoySTSZxOJ0VFRcTjcbxeL/Pz88RiMeGG39jYuG6/KyoqhJB8YGBA7Htzc3NOxeXKlSvI5XIxhRiPxzEYDCSTSZqbm3n00Ud58cUX8fv9vP766wwMDNDQ0IDNZkOpVBKPxwkEAng8HhE6/8UvfnFdRNf7we7du9mxY4f4WaoCPv7443R3dwt/s7VQKpW0t7dz7do1gsEgN27cIJ1Os2nTJjHtCVBeXs7JkydxOBz8l//yX1hcXMTpdDI2Nsb8/DwjIyMEg8G8++ZwONi5cydnz55lz549d/XukyYejUYjCoWCkZERXnrpJcLhMJWVlWzbto0f//jHVFZWsmvXLkpKSjhz5owgRz/4wQ+YnZ0lHo9z5MgRtFotb775JhqNhieeeEIMiKz9HF66dIl//ud/vus5liaLYfUa7u/v5/bt2/eULkjQ6/V0dHTkELJ8E8MSlErlOsNeSWsm3VAWUMCDhgIhewCRSqUYGRlhdnZWtMza29tZXFwU01JrYTQaN/QJW/u8Xbt25Y1BuXHjBjdv3uSJJ57AYrEwOTnJCy+8wMLCAiUlJXzuc5+jrKxM5OzpdLp1pCmTyRAMBhkaGhLh2IlEAqvVis/nY2FhAbvdLjIyo9EoMzMzmEwmKisrRc7g3SYC3y/sdjvRaFQsCBJRzDdxJpfLhSA53+9feeUV/v7v/57//t//O+3t7Xg8Hm7cuJHzHCn7c+15kSD5WIXDYeRyOcFgEJvNJqYopcBsqUXk8XhwuVyClOWDSqWis7OTnp4e4RJvMBhoa2vLqVpJVZlIJMLU1JTQaM3OziKTydixYwdarZZXXnlF5GSOjIzk3aZMJsNms/2LF1epersWBoNB5KtuRBqqq6upra2lp6cHv9+PTqdbFw9lt9sxGAyo1WrkcjnhcJi/+Zu/obS0lKqqKjQazbqcxo0gaaM2bdpEMplEoVCIKdS6ujpB2KQc2FAohNvtZu/evcTjcVwuF5/97GdFC3nLli3C3DWVSnH48GH8fj9LS0scO3aMlpYWPv/5z4uYqmQyiVqtzrk2pZil94t0On3fxy1Nzm6EjSxCshGNRvH5fBiNRqLRaMGfrIAHDgVC9gDCYrFw5MgRFhcXhfZIqVTmrRJk4350GSqVKidoORt9fX0sLCyIReanP/0pi4uLdHZ2cu3aNS5evMinPvUpFhYW+P73v080GuUP/uAPcl5D0vZIk2PZVSbpy39tSyQ7pzEej5NIJD7QTMx0Os3o6CjBYBC9Xi/abk1NTeuIaXl5OTqdjsuXL7Nz5060Wq1YXOVyOZOTkzgcDrq6uigpKeHmzZtCpH+/cLlcOaJpv9+PyWQSJE76V6lUYjQaqaqqYmJiAqVSmXeiVnJqr62t5ciRIyK3sqioCKvVit/vR6vVEolEaGhooKmpSRBTyZLB6XSKqbeOjg5cLhdXrlxhYGCAubk5wuGwqOgZjUasVisVFRU0NjZSvYERrOR/1dnZSW1tLXq9nmAwKKZJ/X4/NpstJ9sy25dLctqXpvukBVy6VqR9aW9vF95jdrt9nYfaWl+0ZDLJyMgIJ0+eJJlMvi97BimiaHh4mMHBQaGvfPrpp9eRcKkNbTAYxE2A1B7MZDLMz89z+fJlgsEgra2t4pgUCkXOZ+JHKbodpAAAIABJREFUP/oRjz76qPAZXKsha2tr+9CNmdVqdV6/wFgshsfjIRgMrmvDw2o7WqrIRyIRUY3NN4FZQAEfdRQI2QMImUwmNCdrH/+XZsTdzbTT6/WKIOWZmRmGh4c5cuQIBw8eRKFQCJ1KdXU1n/zkJzl9+rT423Q6zeLiIsvLy5hMJhwOB4FAQJhsplIpvF6vEBLPzc2RSqUoKSnJacGo1er7niC7X2QyGSKRCNPT01itVtLpNEVFRXmtBWw2G//xP/5H/uIv/oKhoSHKy8tZXFzk2LFjHD16lF27dvHyyy/zJ3/yJxQVFdHT0/O+8zul90AiUlarVeiyJIKUjZs3b2Kz2YjH4wwNDdHR0ZHze6/XyyuvvEJZWZkwLpUWP4/Hw+TkJB6PB6vVKlp1kiu7xWKhpKQkxwtOLpdTVlbG8ePHOXDgALdv36a3t1f4oXV1dVFbWyva6NJ7NTQ0xPj4OPF4XLRWr169ikqlElOkY2NjXLhwQeiqHn30UUHIgsEgFy9eZGlpCaVSic1mE2L5GzdukEgkxIBIQ0ODsMUwGAzCsmPLli05FiZarRa32y3IkhRr9cgjj/Dss8/idrvp6OhAq9Vy/vx5Xn75ZWZmZvjGN77BiRMn2Lt3LyqVCpfLJcxVOzo6iMfjNDU15XiRZSOdTjM2NkZNTQ2pVIqrV69y/PjxHP82g8HA8ePHhXHvsWPHBGFJpVIoFAp+9Vd/Fb/fj0ajEbFSa9uE+/btY9++fe/rGrwbpLQDKepKIpWhUIh0Oi2SAKTM1cnJSaFBWwun0ykImcFgYH5+nmg0+pHMvC2ggHuhQMg+Rrhz5w7nz5+nuLiYgwcP5mjBsqs4a78YM5kM09PTXLp0CZvNxu7du/NO3UlB5ZlMhsHBQdLpNFu3bkWpVApz17vt2w9+8AOUSiXJZJKTJ08yODhILBbj5MmTeL1enn32WZ555hkGBweFm73D4eCZZ54R+5PJZITX2gcl6lcoFHR0dNDe3p5TnctXhVMoFJw6dYqKigouXrxIMBikoaGBhoYG5HI5u3fv5g//8A+5ePEiWq2WL3/5ywwNDQk7g66uLoqLi8Xx6HQ6Tp06lVPZymQyjI2NMTMzQyQSobq6Wvh/ZWcvxuNxpqamWFpaEm2efIueVqulo6MDmWw1h9FsNguLD4vFImKQpKqcpJ8zGAyiYrjRebNYLGzevBmn08nc3BxjY2M4HI68GjyHw4FCoWBiYkI44Eu6RpPJhMvlQqFQCI1VPB7PIRdarZbi4mKWlpZwuVzo9XqUSqXQI+n1elwuF4FAQBCslZUV+vr6iMVi6PV6WltbcwhtTU0N//W//lfx2G//9m8LU9gnn3xSkGMpL3L79u3ifEiTuA6Hg9/8zd8U5rxr44c2atc1NTXh8/lQKBR0dnZSXFycc82ZTCbhGbcRKioqxPDNysoKKysrOdvL53f3QcDj8dDb24vJZMLv9+N2u/F4POzcuVMMNvj9fqanp6mpqaGuri5v2zm7XS59X6XT6Q11rAUU8FFGgZB9jHD79m2effZZWlpa2L59u/hSCwQC+Hw+4ZklLTDRaFS04GZmZvhf/+t/UV5eLnQ3a+F0OpmYmODGjRtcuHCBlpYWbDabqDBt5C+VSqV44403aGlp4ejRo5w7d4633nqLXbt28frrrxMKhbhz5w5msxmlUsnPfvYzDh8+TFFREd/73vfo6uqira0NWG0nhcPhexq1vh9I52MtJEG+y+USxyYJynfv3s3u3bvX/Y1Go+HQoUMcOnRIPLZ9+3bx/7XVCoPBwC/+4i8C/2/xTKVSjI6O4vV6USqVjIyMiNzM7OEAqYXndrtF+0+KCMqGwWCgtbUVWB0oUKvV66KQsiHZpNwvjEajIFFTU1MbPq+oqIiioiLRxtLpdOzdu/e+syrVajUdHR00NDSI6nB2W1v6OfscjI+P09vbi0wmo7GxEbfbnUNO1orWs0mDXC4X1TzpedINSbY+DFbJmdRmW1uhykeG0uk0s7Oz7Ny5U3jCScMHXV1dImGgsbERk8lEd3c3TqeTtrY2Xn31VYqKijh69GhOazuTydDW1pYTED86Osr09DQPPfQQP/7xj0UrPRtvvvkmKysrVFdXC5sKqaqYb9/lcjlbtmwRVVMpfUAi1tLfxONxZDIZDQ0N9xV/try8LKKYgsGgiPgq2GAU8KCgQMgKoL+/n8HBQcrLy7l69Sper5e6ujpmZmb41Kc+hU6nQ6vVolarWVpaEu7wa7F9+3a6u7v5n//zf+JwOPj85z+PQqEQAvCNxtSlzMs9e/ag1WpxOp309PQIG4GpqSlu3rxJe3s7iURC/KzVamlra1vnbZRPFP9h4Pbt2zz33HN89atf/UAJYD5IIeP19fXY7XYOHz68zpR2LdRqNc3NzeteJ7ttLUGq9Eg6q7XPkV4/+9/s52z0vLthenqaYDBIIpFgaWmJ6urqHOPT7H3L3k6+bWT/7l7VE2nfA4EAb7zxBoFAAIPBwI4dO/IOq2wESVsoEd1oNEo8Hkev1zM5OYnb7SYUChGLxSgvLycYDBKPxykpKWF+fh6LxYLZbN6Q1FitVvr6+sQ+9/b2smnTJq5evcrWrVuxWq309/dTVlZGRUUFx44dw+v1ionktZU4jUaDzWYTrfbFxUV+9KMf0d/fz7Vr18Twz1qcP3+et99+W2SOVlZWisnOiooK0caVriGZTLbObifftapUKoUtzP1IKFZWVjCZTCSTSUKhEIuLi6hUKlpaWu77PSuggH/LKBCyAnA4HJSWlmKxWITnlHTXL33RqlQqNBoNwWBww0m92tpafv3Xf535+XnKyspyMv2ampryLrawWnVwOBxMTk7S3NzM/Py8iILZvHkzb731FrFYjMbGRpLJJDU1NTz++OPU1NQILZEEyZD2/bq93w/8fj8TExMkEgnKy8uFhksSZ1dUVGCz2fD5fExOTorpObvdLoTlqVQKn88nxMqTk5Nicqy6uhqNRiMqIsvLy1gsFqqrq7lz5w7f+c53ePTRR2loaKC5uRm1Ws3MzIyIz5EqWdPT06jVaubm5rBarVRWVorpwIsXL9Lc3EwqlWJ4eJhQKITBYGDLli1Cl5NKpVhYWGBkZASfz4dcLqe0tJTa2lpBIKQ806GhIZF1qlQqcblc1NXV3RexWVpaYmJiQlRj85H8bESjUa5cuYLZbKatrU2QbikHs6+vj82bN+f1AwuFQvj9fjGMsLS0xMWLF7l58yaZTIatW7eyefPm911pkaxJpqensVgsghABYrJRrVYLsT2sWqOEw2HC4bCoHGaTWul1KyoquHnzJrFYjB07djAwMEB1dTVGo5HLly9jsViEB5/0OgaDgZ07d4qBiuxoMYVCkUPQjUYj27Ztw263s2XLFoxG47rqGKy66RcVFREKhZienmZ6ehpAWGiYTCacTid1dXXU1tZSVlaG2WzGZDKJQQIJ2bpLo9GI2WxmZGSEhoaGvAbS2VW4bA2Z1WoVqQQFFPCgoEDICqC+vv6ez5E0U5J4PB+USiXV1dXrpuYMBgNHjhwBVqsK77zzDufOnWNwcJC//du/Zf/+/Rw9epSXXnqJwcFBEokETz75pKiAnT59WphKymQy9u7dyz/+4z9iNBpxOBx8+tOfRqPRIJPJhGnkB41wOMw3v/lNgsEgZrOZXbt2Ybfb6e3t5aWXXmJlZQWr1cpXvvIVbt68ydmzZ0Wb9rd+67e4c+cOf/ZnfybaTadOnaK8vJyf/OQn+P1+Jicn+eQnP8kjjzzCD37wA86dO0dpaSnFxcX80i/9Ejdu3GBgYACHw8HS0hJVVVUMDQ3x/PPPYzQaWVxc5JlnnqGxsZHf+73fo66uDplMRn19PW63W9hx+Hw++vv7SafTQssVi8VyqlCzs7NcunQJu91OdXU1iUSCsbExFhYW2LNnDwaDgUwmw9LSEj6fj+LiYrRaLcFgkL6+PhGTdC9S3NbWJlrNEu5GiNRqNSaTidHRUWpqaoS1SSqVYnx8nEgksmGl8ubNm7z44osiCzESiYhMxJqaGiGIXwuJKEkTpWv3U7JpicfjzM7OAojWZTgcRqvV4vP5WFlZwe/3E41GMRqNIgNVep3JyUlGR0cBBEE2Go2srKywZcsW6uvrOXjwIIuLi5SXl9Pe3i7C5K1Wq6hsSvmWmzZtEq3lubk5QaKMRiONjY2CSO7YsYOtW7cKjadEWLOP8emnn2bPnj3MzMwwNzfH5OQkMzMzeDweEWc0OjrKpUuXxDZcLhfl5eWiklZVVYXZbOb27ds55zcWi9Hf3y+sa9bqMltbW3PeU41Gg9lsxmw2MzU1lRM1VUABH3UUCFkB94S06IRCISGSvhuSyaQQkEumqhIkrY4UoK1UKoWT+Re/+MWcKUtJ7/Mrv/IrOS7lUosiFovR1NREOBxmamoKl8uF3+8Xwu/FxUUMBkNe3dT7xdWrV/H5fPzO7/wORqORTCZDf38/drudX/3VX0Wn0/Hf/tt/w+fz0dzcjFarZWFhgb/+679meXlZLP6f+cxnKC4uFlqjQ4cOsby8zE9/+lOuXLlCe3s7r732Gv/hP/wH2tvbRYTV8ePHOXv2LF/4wheETcG3v/1tVCoVe/bs4dy5c5w5c4aqqioSiQS7du0SWrS171ckEqGlpUV4tplMJmH+KsVj2e12urq6BPmyWCxcunSJubk5amtrkcvlVFRUiOlBmUxGKpUSujpJW3U3vN9qlBQUPjo6yuTkpKjWhcNhZmdncbvdG0Y8SfsSCoXEdWexWKivr+eRRx7JMYLNhtfr5a233sLv9/OFL3yB+fl54b4vl8upqqoimUwKg16ZTIZarcZqtSKXy8WkoVqtxuVykclkREU4OyLK4/GIQRXJeqOnpwedTkd9fT0qlYpdu3aJ/VrbipZgs9n4xCc+IX7OZDJ4PB4uX75MJpPBbrdTWVkpCNz4+DhjY2M88sgjvPzyy3R2duLxeDCbzcL7T/KLk6xHVlZWiEQiBAIBpqenGRsbY3JykoWFBUKhEJFIhNHRUQYHB8Xx2+12/vN//s95LUIkwpWv2pWtiZRanKFQiKWlJVQq1Qdqb1NAAf+/USBkDygko8hsSHe+0u+yv+zu9jo+n4/XX3+dlZUVbDbbhlWIdDrNzMwM586dY3p6mvLycp566imSySQ9PT3U1NRQXFz8f9k77+i4zvPM/6Y3ADODmUHvhSAIgCBBsDeRIinSFEkVi6KoY0uyJEfeJCsndtbnONmcZLPx7lknznHJsWTFkWzJ6pIlkiFUKFKkLLE3sIAAiN47ZgaYXvYP7vctBk2kLMWkPM85OkcczNy5986duc/3vs/7PKSkpEzbGpnucZ/Px+XLlwmHw1itVmw2G83NzTgcDoaHh6Xze2NjI+Pj4zQ3N0sX+dbWVumt9fuir6+PlJQUzGZzDNHIzs7GZrNJ+wKn00lNTY0cLBgbG5Ofg2gNC93MuXPn+M1vfkNhYaEUsYvKjSA6MzmZi8nXQCBAbW0tFotFtvF0Oh1FRUUzVgpTU1NRKpXU1NRQUFAgW6iATFYwmUxS7A7XyG8wGJSpCEIr5HK5GBoawufzEQ6HcblcMZ5xnyeENslms9HR0UFBQQEGg4G+vj68Xi+5ublEIhEOHTqE3+9n7dq1dHZ2YrVaKS4uZvfu3bhcLsLhMHq9npSUFHJychgZGeGll15i06ZNU8j7a6+9Rl9fH42NjTz44IOcPn2asbExdu/ejUKhmJEAThT/i+tl4mMzfa4CYiJ3usGQG4GoGgvC7PV6cTqdkpAFg0FZ6err62NgYICzZ8+Sk5NDf38/Z8+elQuQlStXUlZWhlarxWw2k56eLj0JRQu7v7+fvr4+Ojs7qaur48KFC7jdbsLhsJRECIjfodnc/ic+7vV6GRoaQqfTYTabcblc08aXxRHHrYo4IfuSYmRkhIMHD8ZYTVy+fBm4pt3Zs2fPFNHvZIjpyAsXLlBXVwcg2xDToaenh1//+tcMDQ3JRABhonrs2DF6enrYsWPHDR1HNBpFr9ej0+nkjTccDstVsogNGhkZwWQyUVBQQHd3t2whfV7+SpmZmRw5coTBwUGp3YlGo1NsQjweD2fPnuV73/se0Wg0Jmh6sofb+fPnsVqt7N69m1/84hcMDQ3J6bXW1lYcDgd+v1/qg9RqNU6nU1afCgsLUSqVPPbYY4RCoZhJvtluUjqdjvz8fIqKikhOTo4x2RT+YuFweIpNSXZ2tvR4CwaDXLp0iba2NhITE0lISJAViy/SZFSpVJKfn8/HH38s7S3a29tJSUmRmryamhp27txJKBRidHQUq9UqyZNGoyE7Oxu3283IyAhOpxOz2SyrO5MJWWtrK3/+53/OD3/4Q7mN7u7uL+z4rgder5fBwUHZXhRTwMJ8dbJ9hE6nk3YywWCQsbEx+TdxXf/Lv/wLxcXFlJSUUFhYKA2NheFsKBSa1q5DuOePjo7S3d1NS0sLLS0t9PX1MTY2JluKQgs2se3b19fHhQsXsFgs0jPOYDCg0+mmDZjX6/VSjyna4vEKWRxfJsQJ2ZcUQ0NDvPTSSzITciL6+/t54YUXbnibZrOZLVu2zGjKePToUbxeL3/yJ39CQ0MD586dA66Jmx0OhzSGvRFoNBqqqqpQqVRSq6NSqbBYLKxYsULGQBUUFEhNlNVq5dy5c1RVVdHa2jpje+dGsGjRIk6cOME//uM/YjKZWLNmDWlpaXLkXpjxikGEZ555BrvdLsmUOBYBhUJBRUUFx48f54c//CE+n0+arN577728/PLL7Nmzh+zsbB5//HEMBgOrVq3ipZde4ujRo3zjG9/g7rvv5pe//CV///d/j0aj4b777iMvLw+TyTTrjUrc6Ox2OzU1NVRUVMjHdDodKpWK3NzcGOH8ZAwMDFBXV8fcuXOpqKiQVb/x8XHpW/ZFweFwYLPZ5ISj0+mkvLwcrVaLy+VibGwMnU5HOBzm8OHDkri899575OXlUV9fT25uLhcuXECr1XLvvffOOISQmZnJe++9R39/P0eOHOHDDz/kjjvu+EKP79PQ3d3Nu+++Kz8rg8FAMBgkKyuL0tLSKdPME1t7oVAoRneVlJTEtm3bcLlc5ObmYjAYYj7zxMREqaMTZG5oaIi2tjaam5ulnqy3t1cSPdFaNBqNVFRUkJ+fL7+fE2EymUhJScHlclFXV0cgEMBgMGA0GklMTCQpKYnMzEzpRSZ0fCkpKZJkxqtjcXyZECdkXxL4/X6ZUwfX2n+PPPIIZ86ckUabot10ozAYDGRkZLBt2zZptzAdurq6yMvLo6ioSAqUAakjmbgyv15cvnxZHtPEqbpgMCgDxZOSkmKMU5OTkxkbG6O7u3uKh9ZnhV6v5/HHH5cE12azodfr+e53vyu9277//e+TnJzME088weDgIEajEaVSSXJyMh6Ph+3bt8fc7ObPn89f//Vf4/f7pUBdpVKxYcMG5s+fj9frjclQvOuuu1ixYgWA1Pj8xV/8hTQPTU1NRafT8f3vf18au86Gjo4Odu3aFeMBZTKZ5MRreno6DodDVsT8fj96vV465wtfKeG3JTIUv+ibpE6nIzc3l7q6OpqamlCpVGRkZKDRaCgpKaGgoEDaN+Tl5aFWqwmHw5SUlFBdXc3bb7+Nz+eTk6+zte7vvfde9u7di06n45133mH16tUsXbr0uvc1HA7T39+PxWKR1UNBjiKRiMxIvRFkZ2eza9euGFPacDg8oxmymJgW7zmxItrZ2cnzzz+PVqslNzeX1atXT5lSbW1tpampicbGRpqbm+nt7cXj8eDxeKTfWlJSEoWFhTgcDvLz8ykuLiY7O5vExESMRiM6nW7KIkH434nKnfCfE8HzXq+XdevWSS81n8+HyWTCYDDQ09MzJQc3jjhudcQJ2ZcEYpJK/LjNmzePrVu3smXLFkZGRmhpaeHdd9+lpqaGtLQ0tm7d+qkty4kC5dzcXDmtNxPE3ya3rIRv0GcJA/b5fLS1tckKQENDgxQZDw8Ps379+ik3NIVCQVlZWUycz+8Dp9PJu+++y+joKEuWLGFgYIAPPvgAvV6P1WqlqqqKQ4cO4fP5WLduHSaTiY8//piBgQHWr1+PRqPh9OnT5OfnEwqFOH78OFeuXCEcDrN582aCwSD79++nq6uL9evXU11dHXNTFO1Ro9E4ZYJVaKomYqIZ6GwwGo0cP348xs1drVbLyt2xY8diWpTRaJSqqiqpI0xOTuby5cvS6kHkTE5ugXZ1deHxeKTWrK2tjfHxcXQ6HdnZ2eh0Onw+H11dXfh8Pnp6evD7/dJSw2g0kp2dLbVYQtzf0NBAU1MTxcXFMd5jYhChu7ubCxcuMDIyQlFREQkJCdI9X2iRjEYjzc3N1NfXk5CQgM1mi7metFotjz76KI8//rh87xuB1+uVE6s5OTlcuXKFoaEhSWT1ev2sbfVoNMrY2BiBQACNRiOHZSYTLGEBMV1W6eTtTVyUud1u0tPTGRoaYnR0dNo4sFdeeYWDBw/KgQSdTofJZKKkpITc3Fxyc3NJT08nLS0Nm8123ZYzgpC6XC6Gh4dxuVx4PB7Zps/IyJCVy/Hxcfr7+1EqlXExfxxfWsQJ2ZcEIhdwfHyc0dFRSYpEdIvNZsPlcnHo0CGsViubN2+e0ah1ImaKCJoOBQUFHD9+nKamJll1CAaDtLS0UFtbK6s7ExGNRhkeHubq1atYLBZKSkpi/r548WJJSBQKBfPnz5e6rWAwKG/EX1QEjNimxWJhdHSUw4cPy/ccGRnB5/Phdrux2+3U19dz6tQp7r77bkpLSxkZGcFut0tPpu7ubsLhMJcuXSIjI4Px8XHq6urk1FowGEShUEhbCkGCAoEAeXl5ZGZm/l7HIXzCxHSi0WjE5/PJyUNRcUlOTmblypV0dHQwNDREOBzGaDTKXEGv10skEmHJkiU0Nzfj8XjQ6XSUlJQQDodpbW2VlUDhaebxeAiHw6SmphIKhejv70er1ZKeno5OpyMQCNDf3y8JR2pqKn6/n4GBAYxG45RjNxqN0vNtYhVUq9Xy4IMPAtdasv/lv/wX1Gq19MPS6XQ89NBDMrhbo9Gg1Wr5i7/4C0nQJuKZZ57hoYcemtbb7Hqg1WqlrYyoZKWmpqLVagkEAiQkJMz6/QqHw5w/f15mtzqdTqmrFK3p/v5+1Go1KSkp03r9+Xw++X0UHoMCaWlp+Hw+mpqaWLNmjcxonaiNFNehaGUvW7aMefPmkZWVhcVikUMD1/PdC4fDRCIRNBqN9IITfoeJiYmkpaVhsVjQ6/UxE916vV6mUWi12i/EZzCOOP7QiF/VXxJYrVZJXsbGxqRnl4C4yYnHxUh+KBSKuRlP9Ffy+/3yx1ylUtHV1YXNZpM2B0I0LXLoli5dytWrV3n22Wfliv3nP/85PT092Gy2aQkZXPuRrqurY3BwcAohm5hlNxOi0SiHDh1izZo1X8gPdV1dHWfOnJEByRaLBZvNJkXLZ86cobe3l2AwiMfjYXR0lFOnTrF06VJSUlIkWRSrf6PRSFZWFsPDw3g8HvR6PT6fj+XLl5OSksKZM2ckQRNtrs9KCCbCaDSycuVK+W+n08mWLVs4ceJEzPOUSqWMMYpGo7JyIkKh29vbcblczJ07lyVLlsS8tre3l+zs7JgszsnPmQ5JSUk3NFEoLDZSU1NlLmYgEJDTuHCttTn5vIlpv0AgQCQSkfs5k4ZMqVTKQZKJCQHXS/y1Wm3MZGF2dvaUCvJs21KpVMyZMwe73c7w8DAOh4NgMEhubi46nU6K+sVzJ1//oVBIVhyBmLZmZ2cnJpOJ+++/n507d2KxWNBoNPzud7+LMYk2Go0YjUb8fj/Nzc0MDQ1x7NgxHA4HaWlp5P2/KLWUlBQ5gDN52EUsLGprazEajZSVlcXk5wrdmUajiYmimngekpOT8Xq9N3T+44jjVkKckH1JMDGOZCZbCofDMaW919zcLJ3ShQO/Wq3GarUyOjoqXcjdbjc+nw+dTkd/fz+ZmZkyyy8vLw+NRkNycjIPPPAAhw8fprGxEb1ej8fjoaqqittuu016i03e75SUFCorK/noo4/k4263m+bmZjn5VlBQIElhe3s7arWa/Px8jEYj586dY//+/UQiEdlC/Dx/sB0Oh7wpFRUVSeGxz+cjGAyi1+tlG2ru3Ln09vYyNDTEpUuXsFqtGAwGWlpaCAQCtLe3y2lFtVqNy+Wio6NDTqIqlUopGhdEORwOz2ivMB0mmpkKwi0GCkKhkKxoFBYWcvHixSlt0InbGR0dpbm5WQr2hTA7EAjQ19cnI35EioMYThAQmjKPx4PRaJTX5ujoKOPj40SjUQwGg7zZCp8qs9k8YwRSJBKhq6sLp9NJWVmZJO11dXV0d3ezZcuWaV8XDodpbGyU+rOhoSE2btw467l0OBz85Cc/YdGiRfJ95s+fL+0ePgtu5NoUXnwOh0NWl0Qu6adtOxKJ0NHRQWNjoySBwrIC4PDhw+j1epRKJWvXrmV8fJzExMQpOrP77ruPiooKGhsb6ezspLe3l87OTq5evSptVoSNSGFhIUVFRWRlZcn9Ftfe+Pg4V65cwWazMW/ePOx2Oxs2bMDpdMqWpdBo6vV6LBYLRUVFsmrpdrsZGhrCaDQSiUR+74pxHHHcbIgTsj8i2Gw21qxZI0kE/H+fsfb2drxeL6FQCLvdzsjICFVVVbKNIyacwuEww8PDcnrQ6/USCARiRN733nsvPp8Pr9eLVqv91Km/6SBiWiKRCMeOHWPbtm3YbDbeeustcnJy0Gg0WK1WTCaT9Mj6olbOBQUF/Nf/+l9nfc7EyhNAZWWl/P9oNMqTTz457b6JnE+j0YhKpcJsNk8x071RRCIRaRESiURiAq51Oh3p6emoVCq6u7tZu3Ytn3zyyaxZgsJaZOL5FRYdwhtKTLIODw/jdDqlfcTFixdJSEggMTHT9HY1AAAgAElEQVSRtrY2GdvU3t5OcnIybW1tZGdnYzKZaGhowGQyyf2cTMh8Ph+XLl3C7XbLalF+fj49PT3U1NQwMjJCRkYGe/bsYXh4mOrqamnbkpeXR1JSEr/61a9YvXo1RqOREydO0N7ezvLly2fMQ0xPT5f+XWI6cbIdyPXC5XLhcrmmtQWZaJgaDAbp7u7+VK+ymSCSCPr6+mhpaYkZpklMTJSaw7y8PPbu3cvg4CAtLS3o9Xp27do1pVqYk5NDTk4OGzduxOPx0N/fz8DAgBT7Nzc3Mzo6SmtrKw0NDUSjURISEmQFLTc3l5KSEubNm4fZbKarq4vh4WGSk5MxmUzodDpsNptsUYv/Ojs7SUlJkYRM5IROJItxxPFlQpyQfYkhPIJUKhUOhwOVSsWuXbuAa+2cYDBIdnY2Xq+X9PR0jEajvNGJ1XgkEiEnJ0feRLq7u/H5fNTW1qLT6RgbG6OhoUHqkObMmUN1dbWsKAmIas10/kLTwWw2k5WVxeDgIB6Ph4GBARnzo9FoWLhwIXa7HbVaTWVlJUePHmXVqlVfSGzSjUAY7grNTSAQwOVyySqCaBdHIhG0Wi0Gg4E777xTaqc+bdDieiCqY5PNSUVlRZx/jUbDkSNHYtpeE6FQKDCbzbKVlZ2dLZ8nMjY9Hg9XrlwhFAqRlJSEzWaLIRcqlYr09HRSU1MZHx/H7XbLY8/KypLB3kqlUjrdC1sDEeUjrj0hXg+Hw2RlZVFQUIBOp6Ourg673Y7dbufSpUsEAgGKior4+OOPWbZsGYmJiVy8eFHmgC5dupTW1lZycnKYN28eZ86cmZGQbdiwgdHRUbq6utBoNDEu9zeKpqYmzp49O61wfuKkp9vt5oMPPvi9SbmIiRIQVVHxHVmyZAlWq5W+vj7mz58vP29B6BcuXBizTWHtkp+fT15eHgsXLsTv9+PxeOjq6qKlpUVOdA8NDTE4OEhraysnT57EYrHwve99Ty44zGYzHo9HZraOjo7KwQW9Xi/zMCdWWxMTE2WW5XTG0nHEcasjTsi+xPD5fDQ2NmKz2aR9gbiZOJ1ODh06hF6vl67yWq2W9vZ2DAYDbrcbnU7HsmXLpNcWXLOUSEpKoqCgQFYKRFtNo9HI6bHJaG9v59ixY9x///2fut9CE9bX10dJSQkajYZwOExycjI7duzgzJkzvPjii6xfv17aG3zRiEajkgyISa/pbpgdHR0cOXIEs9ksTToHBgYAKCwspLGxUXo9iUqNyWS6rjDu64VarSYrK2tGg1ax30lJSXR3d0/Jk7weiGMQRG+m9xI+WeK5kUiE5ORkuru7uXTpEhqNRgrDS0pK6O3t5fLlyygUClpbWzGZTIyMjJCZmcnAwABarRaPx8PIyIjcltAzqlQqWclLTk4mPz+f3/3udxiNRjl4IMxzhZ+V1WqdteJVW1vLSy+9JM1yU1NTeeyxxz5THFckEpH2NLNB6Dc/TyiVSvLy8pgzZ458TKPRkJubS0pKSsykrkajiSFC00GhUEi9l1hY5OTk4PF4aG1tpbGxkatXr1JfX4/L5WJ8fByDwcDIyIj0EnS73XR0dGCxWCgoKJAWGXq9ftqgcZ1Oh9VqjRnmiSOOLxPihOxLDL1eTzgcnjYjTriOK5VK6eEUiUQoKiqSNziv1zulGiC0TDP9IM60qhfWG9eLlpYWSktLKS4u5oMPPgCuea1ZrVa2bNlCTU0NFy5cYMGCBXLfnU6nrOZ83q3L7u5ujh8/TiAQIDk5WWqPIpEIQ0NDWK1WKZ5OTk4mLS1NWn2kp6dLrY648fX09ExbKfk88Wnn4PLly5hMJi5evEhlZeWMz1epVPj9fklGr2fbs+2HGCYRrcmJE4/5+fm0tbXR3t5OWloaHo9H2h+MjIwwNDREamoq2dnZsnVVVlbGe++9h1ar5bbbbpNxTiIaye12U15ejs1mIz8/n7q6OrKzs0lISMBsNseQlMnYt28fd955J5WVlYTDYd544w0OHTrEzp07r/v4BTIyMigrK2NwcJCRkRGp2fyioVarKSgokNmkEz+PtrY2Wlpa2Lp1q3xsbGxsVomB1+tlZGSEgYEBBgcH6enpobu7WwaOiyGIcDgsB1OsVitarRa73S4/N4fDwW233RZDpGe7rkZHR3G5XKjVajwej6zcxwX+cXxZECdkX2IolUoZ9TMZSUlJ3HHHHZ855kahUOB2u/F6vbK6JtoO02FgYGDaykAoFOLIkSOcPHmSoaEhfv3rX7Nu3Tqqq6s5evQora2tMnzc7Xbzzjvv4HQ60Wq1rF27FrhGDufPn89vfvMbCgoK2L59+2c6ptlw9uxZtFotc+bMiRHY+3w+Ll68SH19PXPmzGHdunXMmTNH+nIJ/Z3L5UKv15ObmytNSv/Q7dWKigrOnj1LUVHRjDdgISpvbGyktraWvLw8We0SFUPhPdbR0UFfXx/BYJCLFy+Sn58vST9cE5QL7ZoYMHG73bS0tJCbm0t7ezsejweVSkV5eblsSykUCqLRKAsXLmRgYEC2vQRSU1P52te+dl3HPJ3gfzaDUb/fL4c6RJV2fHz8ut5ruvdJTU3F6/VKx/ve3l76+vpwOp2SqCiVStne/qxQKpVotVocDgd5eXlkZWVNu029Xk9zc7OsJJaWlqJQKBgcHJTP6enpoa2tjba2Njo7O+np6cHlcuF0OnG73XK/ha+awWAgKSmJ7OxsCgoKyMnJITU1lZSUFEZGRuRQich/vR4EAgFpoms0GmW+qFKpxGg0ynY3IBMzPqsGL444/lCIE7IvMaLRaMyKdCaIya3rhRhJ379/PydPnuSb3/wmc+bM4dVXX+XKlSvTvkYEk0+GSqVixYoVLF68GLh28xUakvLycqnFEll4W7dulX5SghgplUq2bNkiWyGfN86ePUtzc7Ocrpw4qdre3i4NTyeu8IUeB65Nsr7//vsUFxczOjpKaWkpc+fO/YOv7EOhEMXFxYyMjMxYaVAoFCQlJVFZWSn1cEKIPTw8LNMSRPVSr9fLz0tkIQpCVlhYSDgcpra2lpycHOx2O9FolKGhIUl2xX6Iz3vifmg0ms/F/uNGsHjxYp5++mmysrLw+/2Mj4/zjW984zNvT6lUyha1w+GguLgYv9/PiRMnuHTpEnBtgbFq1SouX76MzWab1lvs095Dq9XK1p+oQE0HkR3Z0NCATqejoKAAt9sds+h44YUX+OijjyQBn6hLM5lMZGdnk5aWRkZGBjk5OdIoVniJifcX18NnwfDwMD6fT0Zzieuvvb1d6ky1Wi2JiYmkpKSwYsWKOCGL45ZDnJB9iaFQKAgEAoyNjeFyuTCbzdK+4Ny5c5w6dYrOzs6YbLvrwUMPPcSSJUuYM2cOKpVK+j65XC4cDse0lgDt7e0MDw8DU93ChQ5JeBFN3P+BgQF5gxbWCmLyU2jXxASoqJqI1fLn5UkWCoXIy8uTLRgRbqzX68nKymJoaEg68k+HjIwM7rnnHtRqNT6f7zOLwj9vXLlyRYq4xTmcDoIMhUIhmQQhzrfwAxN2GgJarVZ+pgLi5pyZmcnly5cZGxvDarWSmZkppzaFcB+uibjF5G9ycvKMN9h9+/YxNDT0uZwTs9nMV77yFYLBIOFwmFWrVuFwOGhtbUWv1zN37twbJkgzQSxshKmrSG/QaDQ4HA4uXLhAeXn5jP59nwdsNhvLli0jGAzKgYWlS5fGLC78fj/RaJTExERMJhPp6enSe0wYuYqq5adlqE7+joRCIWmgPJGAnzlzhoaGBu6//34UCoU0t564LavVSkFBAWNjY3R0dKBWq0lMTCQUCl2Xf2EccdxsiBOyLzE0Gg3r16+PuTG6XC5+/etfs3//fsbHxz+Tjkm0BCsrK2MCqDUaDeXl5WzYsGHKa06fPs2BAweAaxoVIdwW7Zmuri7KysrIysqSrxF/EzctvV4fcywTswh1Oh1OpxOdTofX65UxLp8HFi1axNGjR+ns7GT58uUcO3aM//iP/2DTpk0YDAaam5sJBAI4HI5pKwDCLHMi/tDVMYC7774b+P+2Fp8GvV5PRkZGTBUwGo1KQj6xKij+Nhmi4tbe3k5CQgJGo5EzZ85Ioific4TD/cDAABqNhsLCwhkNZn/605/KIPvfF8XFxaxfv54XX3yR5uZmFAqFrH4CHDt2jK9+9assW7bsurcpKpBms3mKYSr8/3Oi1WqnXRz5fD6OHDlCQUEB/f39hMNh6uvrcTgcrF+/noSEBM6fP8+pU6ekLuvcuXNUVlbS0NBAOBymtLSUS5cuxfipwbWF0ltvvSVTHDZs2BDzHQRYtmwZZWVl5P2/tIikpKSYqvXvcy339PTw7LPP8jd/8zcx20lISIiZpJxucZWQkCArjYIki+suHq0Ux62IOCG7xTFbZNDkFWk0GmXfvn28/fbbeL1elEolZrMZg8FAKBRicHAQtVqNzWaTk15jY2MyOqeqqorS0lJJOia7aZeVlcVkDk5EQkKCHAQQVgmCqJSUlDA6OjrlGAwGAwaDIeYYJ1aXxsfHcblcUlPi8XiwWq2fu1haqVTS29uL2+3m1KlTtLW1YbFYGB4eJicnh/nz50tfrZlwMxCwybjRUGtRqZz82Ez/numYnU4nCoWCe+65h97eXpqamti0aRO/+tWv0Ol0pKSkkJCQQENDA06nk7y8vFmruBkZGTFWG+K9lUol4XCY5uZmIpEIFotFTr4CMk1iZGREJk3cdtttaLVaqWPcs2cPDoeDFStWEAwGef/996Wh7acdJ0B9fT2vvfaatHHYsmXLtAMxZrNZLiYmwu/38+abb9LY2EhZWRlvvvkmfX193H333Xz44YcEg0GKi4t59tlnWb58OVeuXJG+YEajkTfffBOr1YpKpeKdd95h0aJFMdsXC4ne3l7Gx8enHIvX62X+/Pnyb+FwmKGhIWkKLRZIwtsOrrX4X331VTweDxUVFezatQuVSsW+ffv43e9+h0KhYOfOnVitVv75n/+ZkydP0t/fz6JFi/j617/OsWPHePbZZ5k/fz7r168HoKGhgRdffJGRkREqKirYuXMn+/bto7Ozk/7+flQqFV//+teZN29enIzFccsiTshucYTDYbq7u0lJSZFtQBGLNLk9MDo6ypEjR/B6vej1em677TbWrFlDamoqnZ2d/I//8T/IzMzke9/7ngxgPn/+vJxgu/POO1myZMmMraN169bNeHPKzs5m8+bNAKSkpMi8QbG/xcXFswrLp/t/k8kkDUlzcnLk37+IFXJycjKtra0MDg7i8/nQaDTS7qG/vx+/309nZ6f0c4pjZiQlJREKhXjvvfdIT08nGo1y8OBBmccqrt+srCxMJhOpqakUFBTMuL0f//jHUwZGFAoFfr+fp556ipdffpnNmzezadMm5syZQ1JSEkqlkrGxMZqbm/nggw/Yu3cvixcv5uGHH5aLBIDXXnuNBx54QGrXRO7jkiVLGBwcJCMjY9bhjK6uLoqKinA6nfT19c1YkU5ISJi2zXbgwAF0Oh3f//73SU1NRaPRsGrVKu666y7g2qTswMAABQUF3H333XR0dPC///f/prCwUKZwiCqu3W6fsq9ZWVkkJibS3NxMbm7ulEWFyG8dGBjAYrFQXl4uFyRCL5qens769eulh15GRgaPPPIIkUiE//k//ycrV65kZGSEmpoavvOd70hhvsVi4etf/zoqlYr/83/+j/zsly5dSk9PD2fOnAGuaVx/9atfUVhYyNe+9jV+8pOfkJmZSUdHB+fPn+cHP/gB77//Pm+88QZFRUV/8GGZOOL4rIgTslscoVCI48ePo1QqCQaDBINBAoGADACePOLe29sLwMaNG/nWt74lg6YFgdNqtdITKBqNyu38/Oc/56mnnsJkMlFVVTXtvswmqE9KSoqpyEyuon0WAvWfmWm3YMECObrvcrlwu904HA6pySsqKrohW48/ZphMJrZv3y4zV1NTU/nggw+orKwkPz8/ZpBjfHycYDA4YxzY1atX0ev1ZGZmxlwL4XCY/fv388ILL3Dffffx13/911MsH+x2O7m5uSxfvhyDwcBzzz1HRUUFX/nKV+S1nJmZyc9//nPmzZtHIBDg/PnzbN++nfHxca5evYpSqZxVU5abm8snn3xCU1MTGzZsmJEsqFQqLBaL/H4CMgXBbDZLrzSVSoXdbpdtfGFPI5IzxGIpKyuLEydOyGSE+vp6qqurp/X2KikpQa/Xk5+fP6WinpycLBdaorWanZ2NUqmkpKREygomDgG0tLTw3nvv4Xa7aWhowO/3U1tby7x58ygrK4t5f41GI6czxW+A0JKKfRUasccff5zc3FwWLVrExYsXUSgUrFixgtzcXMrKyqQpcJyQxXGrIk7IbnGo1WqqqqrweDx0d3cTCoXIysoiOzt7ynOHh4dxu91otVpuv/12ScYAaXYqhOuAnGZcvXo1LS0t/PrXv+aNN95g7ty50wrTL168iNVqJS0tbVqtzPj4OKdPnyYQCGCxWKRZZGlp6efiUP9FoqOjg+PHj+PxeEhLS5NiY3HT+u1vf3tD4dh/zBBWBZcvX8bpdJKZmYlGo+HcuXOMjo6yYMECzp8/TyAQoLq6mv7+fs6fP09xcTFut5uenh4sFgsVFRU0NDRQWlqKx+Ph0qVLMrS9sLCQffv2EQ6Huffee2f1zTMYDGzbto1nn32WPXv2cPvtt8vr++GHH+bQoUM0Njai1Wq5//77Wbx4MU6nk+zs7E91jC8oKOCBBx6gq6uLBQsWzEoWSktLpTheo9FgMBjYvXs3gUCAp556ir/6q7+S+yygUqmYO3cuBw4coK2tjQsXLpCQkEB5eTlvvPEGW7Zsob+/X9qbTEZrays1NTXMmTOH119/nccff1xWA4PBIFevXpUDDn6/nwULFsRoMycO6Igq5dNPP83u3buprKyks7NTZqmK4YDJ14LYzkyTvoK0eb1eotEoPp8PrVZLIBCIIdmzGRTHEcetgDghu8WhVqspLCwkGo1SUlISEzw8+cdNhGEnJydjsVim/LBrtVq54p4IrVZLdXU1b7zxBg0NDbS3t087Sfnxxx/T2NhISUkJ1dXV5ObmYjabZbUhHA4zOjoq32NwcJDc3Fz8fv9NT8jy8vIwm80EAgEOHDggKwaRSESO4fv9/hkrdiKwWbRl/tjbml6vlwsXLlBVVcWpU6eIRqNkZGQwOjrKvn37MJvNpKen8+abbxIMBsnMzOTAgQMolUpKS0tpbm4mMzOT8fFx+vr6ZAvr3Xff5atf/SqhUIimpib0er0cOpgNiYmJGAwGmpqaYtqfYmLX4XDw4IMPMjAwwMjIiMxP/bTKbl1dHb/97W/RaDRcunSJhx56KGYxM5FAZGVlyYSFUChERkYGDoeDhQsX0t/fz4kTJ8jKypLHIyZUV6xYQXNzM3/zN3+DTqfjkUcewWg0kpWVRVpaGmazWZLVyQiHw6SlpUkdZEtLCwkJCSQlJclre3x8nK6uLoxG45SW/Mcff8yPfvQjaYHy7W9/G5PJREdHBwMDAzQ1NQHXsl5/9KMf8corr8jYrZKSEhwOBz6fj5qaGoqKiigsLKStrY2rV6/S09PDhQsXyM/PZ8WKFbzyyitUVlZy5swZHnvsMQ4dOvSpn2sccdxKiBOyLwkUCsWn+u7MtnpUq9UyqFtULSZu22q1kpycTF9fHwMDA9MSso0bN5KamsrZs2c5fvw4OTk5lJeXU1VVRWZmJomJiWzbtm3Kft8K6Ovr48KFC9MSVtFem+3mHAwGGR4exmKxxEfy/x/UajWpqamcP38evV5PXl4e/f39tLe3k5WVhd1uZ2hoiFAoREpKCvPmzaOvr4/c3Fz6+/sJhUIkJCQQiURQKpUYDAbZvhPwer309/dTUFAw47UWjUYZGBiY1vD19ddfp62tjdbWVnbt2sWJEycYGxtj6dKl0sx1tqpXf38/q1atYunSpfzbv/0bHo9HtueEr5mwfRDebSL9YceOHSQkJKBWq6cNt1+9ejWrV68GYMWKFRgMBplh2djYyO7du6XGsqqqikgkQjgcjqlEJSQk0N/fz969ewkGg5w+fVrGo+n1elauXAlcm84WWZYTUVJSwp/+6Z9y4sQJnn76aYaGhvizP/szPvjgA5KSkviHf/gHMjMzsdvtPPnkkxw+fJihoSHy8/OBa9rSRx99lDNnzmAymcjNzeXKlSsoFArmzZvH6dOnsdvtPPDAAxw4cIDOzk4eeeQRFixYQCQSka3S3Nxctm/fHm9XxnFLI07I/ohgMBjQarWMjY3J8r/4YdZqtZjNZpqbm+nt7ZWO3QLCnd3v98+Y/Zefn09OTg6rVq2ivb2dEydOcPLkSY4fP052djarVq2aEtEz25TozQSj0UhCQgKhUIh7771XPq5UKlm5ciWLFy+O0dFMhphavdmP8z8TTqeT999/n/z8fPR6PSaTCYvFwuLFi+nq6qK/v58dO3bQ0dFBf38/arUah8OBXq/H4XDg8Xhobm5Gr9eTmJhIJBLh/vvvp6WlhcWLFzN37lzOnTvHCy+8QGFhodReTUQ0GmVwcJDf/OY3jI2NUVJSEqNvbG5u5s///M/54Q9/KAlJd3e33N9PMyJOTEzk1VdflcL45557jvvuu4/c3FzOnDmDzWbj8uXL9PT0kJqaysDAAKtXr2ZkZIS6ujpKSkpmJZMCpaWlZGdnSyPYSCRCd3e3HJYQuZGiIiX889xuN3l5edJvDYhZ2In3nSnb0uFwcPvtt2MwGHj++ecBmDt37rQLtrKysikaMvH9EcQP4M4775z2vcQgg8BEG5TMzEzZao3HKcVxqyJOyL4kiEajeDwePB4Pbrcbm80mW2pKpZLExETsdjuJiYkMDAzQ3t5OeXl5TNxIeno6Fy9epLa2VgqdxbbdbjdOp3OK1cVECDNWu92O3W6nsrKSvr4+amtr+eijj3j99dcpLi4mEAjI7QwMDGA0GtHpdHLK7mZEJBKhq6sLr9eLyWSKmeq8npbYRMuI+M3i2jnIy8tj48aNMedPVHHENKJaraakpIRQKITP55Mh4osWLSISiWA2m0lISECj0VBcXIxWq0WpVBKJRNi+fTv79+/n9ddfp7+/n40bNzJv3jzZrnc6ndTV1fH+++/z4YcfYjKZ2LZtW0yVJT09nQMHDjA4OMgnn3zCoUOH2LBhA+FwWFrCzIaSkhIeffRRwuEwKpUKk8mE3W4HrpEIpVJJYWEhpaWleL1euagR14pocX8ahEXMRAiBvtFoZGhoSE5QWiwWGS8UiURISkrC4XDEVL+i0SiBQIBgMEgkEpEV+OlCv68H0WhUDhyJ7Ylg8oktfPE8oTcTeafTEd9oNIrX68XlcknzYKfTSSgUkkNE8e9aHLcSbs67Xxw3DL/fz6lTp0hPT+fcuXPSWbu/v5+UlBTuuOMOMjIysNvtDAwMcO7cOTZu3ChvPgaDgeLiYg4dOsThw4dZsGABy5YtQ6fTMTo6yscff8zw8LDUl8wGIbzt6emhvr6e06dPMz4+TnFxMc3NzZw5cwalUklCQkKMe/+2bdtITU39ws/VZ8GFCxcoKSkhPz+ft956i+XLlzM8PCyJL1wjE0JwPLktGRcbxyIpKYlNmzZNEdu7XC7Onz9PU1MTCoWC0tJSqquraWpq4tixY3i9XhwOB2NjY2RnZ2M0Gjlw4IBsdy1btkyS/RUrVvCtb32LX/7ylxw4cICjR4+SmJgoiUowGMTtdjM+Po7dbufhhx9m9erVMQTo3nvv5e2330ahUPD222+zevVqli9fjtPplNFAs6G1tZXnn3+erq4uCgoK+Ku/+iv5nRODN0I3JqBQKJgzZw45OTnTpj9Eo9GY1uNMiySDwSDtO6Yb8hHftcmkJRKJcPXqVZ577jlOnTrF6OgoBoOBlStX8tBDD8lt3gg6Ozt58cUXOXDggIxmKikp4YknnpC6tGg0SkNDA6+88goffvghXq+XwsJCdu7cycaNG6cQzmg0Sm1tLW63W54/m83G2bNnsVqt7Nix46Zd4MURx3SIX61fEqjVanJzc9FoNJSWlspR8ry8PNmqsdlslJaW0tDQwKVLl+jp6SEvLw+41jpYsmQJe/bsoaOjgx/96EdUVVWRmJhIT08P58+fJxKJkJ2dLatDkyGyDi9evMiFCxdobm4Grjn6f+UrX6G4uJhQKIRarcbj8eD3+0lNTcVkMpGUlHRdlaY/FMxmM/X19fT29mIwGHC5XBw+fJjk5GQMBoO0HBkbG6O6unracyRuGvGWyrXrdTorC0GsMjIyZGVXoVBgs9lYuHAhWq2WYDCIRqORfmWrVq0iEAjIyquY+jOZTPzZn/0ZFRUVvPzyy5w+fZrR0dEYvz6z2cy6devYuXMn69evn6KRysrK4k//9E954oknUCgUeL1eqR3zeDyfSrT7+vpYunRpjExAYDYTXTH9GYlEZPzZ4OAgIyMjeDyeKZUmg8Egq+DCnuX3GR5pa2ujpaWFjRs3kpKSQmdnJ//+7/9Od3c3P/3pT29oCMfn8/GTn/yEvXv38s1vfhOHw8Hw8DBXrlxhdHQUuPadaGtr4zvf+Q4DAwPs3r0bi8XCsWPH+Mu//Ev+9m//lt27d8cQLIVCQX5+Pl6vF5/Px+DgIBaLhWXLlmGz2b6QXNs44vgiESdkXxIIQgbXWiGTbxTih3nNmjVcunSJefPmTVl95+bmcvvtt/Ob3/yGoaEh3n///ZgInMTERNavXy+1JpPxwQcf8NFHH+Hz+bDb7WzatImKigpsNht6vZ7h4WESExMpKCiQU4dCryJ8lW5WCIfz4eFh1q5di9FopLCwkJ6eHulYbjab8fv90w5XiMm5eKVsdmg0mhhfL3HdiqpYa2srRqNRkhERmyX8p65evYpWqyUSiZCZmYnBYGDjxo3SyLWjo0OSgKSkJBlybrFYZr2Bi7+1trZy7tw5br/9doCYTNSeycQAACAASURBVNbpIKKGTp06xfj4+HX77Ykqc1dXFy0tLfT09MjJzunapBNbgElJSRQUFJCbm4vVar1hjz+lUsnq1aupqqoiKSkJtVpNIBCgs7OTc+fOMTAwcEOELBgM0tnZKe1i0tPTiUQijI+PywEHkYJw6dIlfvazn3HHHXegUqnYvHkzoVCIp59+mo0bN5Kenh5zzMJ2JBKJkJeXF9NS/WNf9MRx6+HmvQPGccOYbcUtPHrmzp3Lf//v/5309HSUSqUkCWq1GrVazX333Yff7+fAgQO4XC5p0mmxWLjnnnvYunXrjD/wQ0NDlJeXM3/+fPLz86dUGw4fPozRaCQ3Nxefz0dnZydGo1H6ks2fP3/Ka24WXL16lfPnz8vImG3btpGXlycrYUJYPhNEjJUgEnHEor6+nlOnTrFq1SpSU1PR6XRTztPVq1dpampCp9PJz0GpVJKeno7JZKK+vh6lUsnChQtpbm7GarVK/VFycjLJycnMmTPnuvbnmWeeoa+vb8o+9PT0SCPV7OzsT63CFBQU0NnZyYIFC9Bqteh0OqmTEhY1k4dcIpEIvb29nD9/nvb2dukLOBvENoPBIOPj4/T29nL58mXKysqYO3cuer1evk84HMbn80kCN91vRTgc5tKlS5w6dYr+/n58Ph9nzpyRpPBGYDKZuOuuu/hf/+t/8c1vfpO1a9eyefNmCgoK5OLF4/Fw8uRJMjIyWLJkiVycpaSksHbtWg4dOsSlS5dIS0uLWdQIrZswtRb7LrSzYjvx71wctwLihOwWh/hBamtrIxgMUlBQgF6vJxAIoFar5Q0jFArR3d1NQ0MDBQUFdHV1ySEApVLJggUL0Gg0mM1mHnnkEVavXs3Fixfp6uoiLy+POXPmkJubK1e2SqVSDhKIrLy77rpLinCn+wEUPl7Jyck0NzdLmwK32y0FxjcDwuGwDF7X6XQYjUZaW1tZsGABRUVFqNVqurq6qKmpITExkfHxcaqqqqiurp6RrAqLhuk0QXFAb28vf/d3f0dycjLbt29n7dq1VFRUxAizV6xYweLFi1Gr1TE3ZfHvBQsWyLzT7OzsaadeRQswGo1KYjcdLl68yOrVq6dUO00mk7z2dTrdp1Z1z58/zzvvvCOrcPPmzSMcDlNXV0coFGLhwoUx24hEIjQ1NXHixAlGR0c/c0U1Go0yMjLCyZMnGR4eZsmSJSQkJMg8ylOnTsnhiMnnyePx8OMf/5hXXnmF0tJSioqKSE9Px2w2MzAwcMP7pFQq2b59Ozk5Obzyyivs37+fl156iU2bNvHkk0/KitnY2JhMHBCYmF/rdrvx+XxcvXpVki6r1SrTGkQurzCcdrvdZGdnY7PZJGlTq9VxchbHTYs4IbvF4XQ6eeaZZ3j33XcxGAz86Ec/Ii8vj+eee46SkhJuu+024JqOo76+XmpRhCi5paUlxjBSjPZXVlYyd+5c9uzZQ2JiIkajkatXr+LxeHA4HAwMDBAIBOjt7WXdunVkZmaSkJBAOBxmYGCAtrY2Gfydm5uLw+GQQcEKhUIKigcHB/F6vTHhxH9o7N+/X+YAVlRUEAgEuHDhgrxZ2u12qqurWbRoES0tLSxZsoTi4uJZf+gnCrDjmIqFCxfy4x//mIMHD/Lyyy/z/PPPU15ezoYNG9i4cSNpaWkYjcZZvcQMBoP8u6hWigVLU1MTR44coba2FqfTKVvM5eXlrFq1ipKSkpiFxAMPPMCiRYumEOimpibq6upkKobNZpuVlAmyvnTpUrlYEa73k7WE4XCYhoYGjh49OsUTTVSwtVqttK8R9hbCG09Urya2xv1+vyR/q1atwmg04vf7aWlpYdGiRdPue319Pc888wz33Xcf3//+97FYLEQiEXp6ejhy5MinfZTTwmAwsHz5cpYsWUJHRwf79+/nn/7pn7BarTz55JNoNBoyMjK4cuUKHo9HToSGw2H6+/uBa0MIQrtpMpnQarUsX74cq9XKlStXUCqVZGdno1AoCAaDdHR0MDY2xsqVKxkdHcVsNt/Usog44ohfnbc4Dh48yNGjR9m5cyd79uyRonkxGSkImclkkl4/arWaYDCIQqFgwYIF8sd+MpRKpdSgJCcnMzw8jNVqle0AofcRFYpQKMS5c+d4++23GRkZQaVSEQ6HMZlMbNy4kTVr1kwxbhQWADcTuru7ufPOOzGbzej1enp7e7Hb7YTDYdRqNUajEbvdTnJyMmVlZej1elQq1ayELCEhIS7mnwVJSUls3ryZNWvW8Nhjj/Hhhx/yzjvv8K//+q/88pe/5Pbbb+eOO+6gsrISq9Uacx57e3txu91kZWVNqfa4XC7eeOMNnn76aTo7O2OE+EI4n56ezqOPPsquXbskEVi8eHFMFXhwcBC1Wk1GRgbp6en4/X6USuWnmjFbLBZqamq4fPkydrudXbt2odFo8Hg8UypgfX19nDx5MoaMaTQaUlNTpeu+0HRNzHEVbTqPx0N/fz/d3d10dXXJ7USjUZqbmzGbzSxatEgaGWu12mm/916vl0AgIElwOBzm8uXLHDt27IbblWJ7nZ2dOBwOzGYzubm5bNy4keeff56Ojg6CwSAmk4lVq1bx29/+ln379vHQQw+h1+tpampi//79FBUVMXfuXDQaDRs2bJCWIXq9nqysLGmAK85LNBrFbrfL4Q9hpxJHHDcz4oTsFkdtbS1Lly7lrrvu4v333weu/SjZ7Xbq6urk85RKZYw+63ocrTUajRQvi20KLZqIYZrYYqirq+O1115jzpw53H333RgMBlld2rNnD2azmcWLF9/0pCQSifDGG29gt9uZN28ey5Yt4/Tp0/JmfOjQIYqLi1GpVNK2IRqNMjo6SktLC1arFb1ej8fjwWazYTab/1OD0G9VCCuUuXPnUlJSwrZt2zh8+DC/+MUv+OlPf8prr73G3LlzefDBB9m6datsZ7rdbnnDn0jIPB4PTz31FD//+c8JhULk5OQwb948SbqGhoaoq6ujo6ODH/zgB/T19fHd736XxMREeU0fO3aMV199Fb/fTyQSITc3l4cffpi0tLTrOqaCggKefPJJfD7flDQNoSODaxPKZ8+exel0yr/b7XaqqqrIycmZ1XRYIDExkdTUVEpLS+nt7eXixYs0NzcTDocJhUJcuHCB7OxsGWc2k0SguLiYlStX8txzz3H58mVUKhW9vb2kpaXR3d0tnzc2NiaryfX19fT39/PWW2/R399PUlISO3fuJDU1leHhYf7xH/+RgYEBHA4HCoWC7u5uPB4Pmzdvxmg0olKpuP3223nggQd46qmnOHjwICaTiba2NjweDz/4wQ+Aa5X+wsLCmMrlxFB1uPZddDqdJCUlyUle4dMW/w7GcTMjTshucQgbgIkIhUL09vbOGKg8EV6vl76+PlwuF36/H5VKRX5+vrSgmG4cX7Q/XS4XixcvlhqPM2fO4HA4uOeee2QVIxqNUlBQIEW7ixcv/pyO/IvDhg0baGpqQqvVkpWVRV9fHwcPHiQ5OZm0tDTq6+tZt25dzGvC4TC1tbXU19djNBqJRqOkp6fLBIQ4rh9Op5Nz586xd+9eDh48iEql4qGHHiInJ4fjx4/z93//97S0tMjcRLPZzKlTpwgEAnIbkUiEM2fO8Oyzz6LRaPj2t7/N9u3bY+wQQqEQw8PD7N27l3/913/lxRdf5LbbbmPt2rWytbxnzx42bNhAVVUVwWCQN954g4MHD7J79+7rOpYrV67g9Xq5ePEiPp+PJ554QrZGJ1Zzuru76enpka+zWq2sXLmSrKysG25zq9VqMjMz5XV39epVuYhqbGyUWkePxwMgyaZI4VCr1fzd3/0dr732Gm1tbSQnJ7Njxw5SU1PZv3+/9CEUrWBhb7N582ZUKhUtLS2yCgjXvMG++tWv8tFHHzEwMIBCoWDp0qWsW7eOFStWyM8jMTGRv/zLv6SqqorDhw/j8XjYuHEjW7ZsISMjg+effx6z2cydd945a2U9FArxu9/9jitXrvDYY49hMpmk91lcQxbHzYw4IbvFsWbNGn7yk5/wwgsvMDQ0xLFjx9i7dy+ffPIJ3/ve96Z9TTQaZWhoiE8++YSPPvqI7u5uxsbGCAQCJCQk8O1vfzsmyqSvr4/m5mai0SjFxcVyeq2npydmlT04OEhqampMS0mhUJCYmEhOTg4nT578Yk/G54T29nZ5vAkJCRQUFJCcnCy1dNNFu6hUKsrKysjJyZFB4wkJCfHcyuuEsFU4fPgwb731FlevXiUlJYWvfe1rbNy4Ubrwj46O8otf/IJnnnmGHTt2UF5ejtfrnaK5CgaD7N+/n+HhYZ588km+9a1vTVsVtlgsfOtb38Lr9fIv//Iv1NTUsHz5cjntqNFoyMzMlFYb01nKzAav10ttbS02m43BwUFp0yEGb3w+Hzqdjvb2dpmRqtVqWbhw4WciYwLie1ddXc3w8DBDQ0MAdHV1UVJSwtjYGGq1msHBQd555x3KysoYGRlhbGyM8fFxotEo5eXlPPzww+Tk5MhhgJycHBnLFI1G+cY3vkEkEpFVNLvdzvj4uNTwtbe3EwqFZHRVTk4OoVAIg8GA0Wikv79fTkeKqe/58+ezcOFCHA6H1Ly9+uqrfPLJJ2zbtg2j0UhNTQ1NTU1kZmayefNmPvjgA9ra2sjJyWHLli1UVlbS3t4uf5+EkW4ccdzMiBOyWxzV1dU8+OCDvPzyy7jdbn75y1+Snp7ON77xjWmrUdFolI6ODv7t3/6No0ePTjGrFFqwiRgaGuJnP/sZTqeTXbt2sXv3bnQ63ZQWgJhwmugvBtdWrE6n87raLjcDrl69yo4dO3C5XJw8eZIlS5Zw7733otfr5U19usqhsFaY6N0Wx/Xh4sWLPPHEEwwPD7No0SL+23/7b2zYsAGHw4FGo5Hn22q18pWvfIWf/exnMSRs8g03GAxSW1uLyWTijjvumLVFr9Vq2bRpE8888wyXLl2SlTBhjvq3f/u3lJaW4vf7aWxs5Lvf/e51H1dBQQHNzc2sWLGChoYG2WoTrdbh4WGSk5MZGBiQrzGbzeTn589Kxpqamuju7qa8vHxWQ2WLxUJeXp4kZMLYdv78+aSmpqLVaikqKkKv12Oz2UhMTJSWIlqtVrYY4VqLct++faSlpREKhWQIularJTc3l9bWVqqrq2lsbGRoaAi1Ws34+DgajYbs7Gw6Ozu5cuUK4+PjLF26FIvFwrvvvovJZEKtVkuPMYPBQG9vL1lZWVRXV6PT6ViyZAldXV1s2LABl8tFTU0NS5cu5dixY6Snp/P++++zaNEijh49ytKlS2POgUKhmPF7G0ccNxPihOwWh16vZ9u2baxYsUKOpNvtdhwOx7Q/6MJp+9ixY0QiEZlpF41G5TTTZGRnZ5OSkkJrayunTp1i+/btuN1uvF5vzA9cRUUFb775JgcOHJC+S8LP6MSJE2zduvULOw+fJ+x2OzU1NYRCIYqKigiFQtLuIBwOy2nJ6ULSJ/+/+Hf8RnANQt+jVqsxmUzyvAQCAdauXcvWrVtZsGCBbLfNZJ+yadMmkpOTiUaj6PV6ioqKZOtcvI/L5cJgMFxXAoTFYsFgMMgJzKqqKgoLC1m2bBmjo6NykVJdXS3NSD8NgiQWFhaSlpYmDW/FFKTFYiE9PV3mxArYbLYZFy9iyOD1119nzpw5Up4gcj3HxsYIBoMkJiaSlJSESqUiJSUFrVYr0wyCwWBMMPeyZcti3mPigmLi+TcajTLNQBAtn8+HwWAgISFBpoJYLBb8fj9XrlyRljlKpZKKigopsDebzSiVSu655x58Pl9MJVmpVGI0GiU5FO+t1+tJSEiQz9fr9dx+++3YbDZ0Oh0mk4n169djNBrp6upidHSU4eFhTCYTfr9fHlf8uxjHzYo4IfsSQKlU4nA4ZnTQF4hEIrzzzjucOnUKhUJBRUUFmzdvprS0lMHBwRlbnDqdjtLSUk6cOEFfX5/Up1mt1hj92vz582lra2Pv3r288847JCQkyFiTxYsXU11d/bke9xeFzZs3Sw2ZwWDgwoULJCYmSk2M2+2WNgYieL29vR2PxzNFKK3VaikrK7uuIYo/BoTDYU6fPo3RaIwhAosWLaKyslJ6g4l4oon2FaKqZDab+Yd/+AdGR0cJBoOo1WqKiopkFVZos5KSkujo6IghOzPB6XTi9Xple27+/PkAPP/889TX18fcxGeKDpsMhUIhq3gTCbwgB6L6JLzRBIRf2HSIRqP09PTQ2NhIdnY2gUCAM2fO0NTUREFBAbW1tSQnJ5OUlMR9990nK9kajUbGLU18L7Gf0+37ZExMURADPhOfKzSrYuBBxF9NZ2cjXjN5OEI8brPZYhaUCQkJVFZWotFoMBqN7Nixg7q6Ojo7O1m6dCnbtm2jvr5efs9aWlrQarVcvHgRj8cj7UbiiONmRpyQ3eI4d+4c7e3tbN26lVAoxJtvvklNTQ1lZWU8+uijMeLX/v5+Pv74YwKBANXV1XznO9+ROpXZWmwTY5lGRkYYGhoiKSkJp9PJlStXZIsgISGBu+++m/LychobG3G5XJhMJubMmUNxcfFN68I/GceOHSMrK4t3331XjumPj48zODgond/FjcPpdFJTU0N3dzcqlWpKVdJkMlFUVPR/2Xvz8LbKM/3/o12WLMn7Iu+Ot3iJs+8LCSQhEBKYsrTQL2HK0hYKKcNAW9ohzHRaGNq5oENgulAoBVJahhYohCSUsCQhIQtx4iWO7XiLF3mRrF2y1t8f/p13LC8h0HYap76viwtLOUc65+g9573f57mf+5kmZP8/otFoTOsjCZFIBIfDIcw9e3t7OXTokIj4Dg0NkZOTg1wuJyUlBbvdTl9fn6iuDAQCWK1WWlpaqK6uRqfTMXv2bA4fPszrr7/OzJkzY9zqRx+P3+/n9ddfx+12M3fu3JgKPsllPy8vT+w72rfv085VKpoZTQY0Gs24Fkij779zpSrlcjlFRUVUVVVxySWXEI1Gsdls+P1+2traSEtLY9OmTfzud78TerWxkdzJ7vVnn32Wl19+OWaRJZfL2bZtGytXrhx3nBOl7SV0dHTw2GOP4XQ6+e53v0tZWdmE3ynt89RTT/Haa68xb948HnzwQVE4IEGKYL711lssXboUh8NBUVERLS0tvPbaaxQUFFBUVITX66W9vR2VSsXSpUspLCzkwIEDwvh6GtO4kDFNyKY4PvjgA7q7u9m4cSP19fU888wzLFiwgIMHD5Kdnc1NN90ktu3s7BTtYK688srzFg3LZDLhR+bz+fB6vRiNRtxud8yDU/J1qqqqory8XEQ1LhTD1/NFU1MT/f39mM1mbDYbWVlZKBQKFi5cKKIv0nVraWlhYGCAlStXkpubO+6hP9Zu5O8dfr9/wp6Op06d4pFHHmHr1q0sXbqUhIQEcnNziY+PJxgMotPpUKvVYoGRkJBAamoqFotFkGSTySTS6JJf1Y4dO9ixYwcJCQlcddVVFBQUiPEYDodpa2vjjTfe4KWXXsJkMrF+/foY/aNGo+EPf/gDubm5wrNr3bp152V7IZnPJiUlxegyJbsUi8UixOwqlUpsI4n7zwdSdaZE+KVrMZo4DQ8PC/J3rp6xUjrUZrMxNDQkJBB33nmn2CYYDNLX10dycrK4F8LhsLimkrXH0aNH+d3vfofL5eLSSy+lrKxMFEpI3zX6OFpaWvjggw9irsPYY5P809rb21EqlSxevBir1UpFRQWvvvoqc+fOJT09nZdffpkbb7yR+vp60tLSUKlUIq05na6cxoWMaUI2xWGz2TCbzQQCAfbs2cOcOXP4zne+w4svvkh9fX3MtkNDQ3g8HtFU+XwfTlLjYslQNhQKkZiYyOLFi5kxY4bYbmBggIMHD9La2orf7x+3Es/MzGTLli0X/EMxPT0dq9XKsmXLqKuro7m5mfz8/BhxuQSn00lCQgJz586dcsTzbwGtVktGRsa4tFlfXx+HDx8WKcqMjAzRzWEiSL9DcXGxeC051kt6v4ULF3L77bfz85//nMcee4wdO3aQlZUlNGVDQ0N0d3fT1dVFfHw8X//618e1v3K5XPzDP/yDiM7B+UfIYIRc2Ww2GhsbRZGNREykamSlUinS+zBSRBMMBkXvU5vNRktLC4mJiRiNRuRyOYsXLyYajVJRUSHMYrVaLSqVioSEBK677jq0Wq3Yf3h4GBhJO05mh3Pdddexdu1a/H4/dXV1bN26NcZ3TEJDQwNOp5NwOIxOp8Pj8eB2u0lNTWXp0qWkpqZSXV3NunXr8Pl8Qq8WCAQ4cuQI/f39zJ07l/z8/PO+jtFoFJVKRX9/PwUFBbS1tXH48GF0Oh3JyckUFBQQDAZpbW1l5cqV1NXVodVqGRoaoqOjA4vFIjzJpjGNCxXThGyKQ6ps7Onp4dChQ3z961/HaDSiVqvHrbTD4bDoz/hZ/HgkJ3DJqV7yGJLMLiXs2rWLI0eOUFpaSkJCwrjPT05O/vNP+P8AmzZtAkaiCXl5efzmN7+ZNCKi1Wqn27F8Rkiu96MhtRUaLcz/tPEZiUTo6+vDZrMJp3aJjMHIvXHnnXdiMpn4+c9/TktLC83NzTEO91IK8M477+Taa68dZ1OSlZXFe++9J4gQwPr160lKShL6NYmYjIVcLmd4eFj0bx193AMDA7hcLtETc3Slpd1up7e3l5ycHEKhEMeOHROkrKSkBIVCIWwyLrnkEkpLS8d9t9lsBkYIZUdHh1gcabXamGMZDaPRKCLePp9vwjR7JBIhKSlJWLp4PB5sNhtVVVUkJCSIyNmMGTN47rnnAETUWC6Xiwrs8/FIHA2lUsmsWbOorKxEqVSK31sulyOXy7nhhhtEOlbqECJF8GbPnj29WJrGlMD0TDLFsWTJEn70ox+xf/9+8vPzWbRoEdFolM7OznHVZTqdDo1Gg9vtFi1kzoeUSb5D4XAYg8FAfHw8w8PD1NfXU1xcLB64Ho+HsrIytmzZMqXTA2+//TZr1qzB4/Fw5MgRMflOdD6FhYW0t7dz6tQpCgoKxkXRpJTtVL0Wf2kolcoJizsKCwspKSnh0KFD5Ofnn9cE+u677woX/WeeeYb33nsPlUoV0zPVaDRy6623snr1ao4dO8aJEyeEBURqaipz584V0ZqJNEYJCQmC8Egtw4xGI52dnXR3d4v+iBUVFef8jSVLB0BUO0qWM2q1GrPZzJkzZwiFQni9XmpqajAYDJhMJhYuXCi+W6vVEgqFyM/P/1S5QSAQoL6+HovFIt5LS0v7s4yKtVotCxYsEATP7/dTUVEh3P9H+w+ObSslpUSVSuVnbpkmRRIljD33seNl9L9Pk7FpTBVME7IpjqVLl/Ltb3+b7u5uli1bhslkIhQKMW/evHHVYNLD2GKx0NDQQHl5+XlFd7xeLx9//DEwMollZWWh0WhEVZyElStX8u677/LBBx+QmZk5boKLi4ujsLDwL3DWfx0Eg0Fqa2t5/fXXaWlpIRgMkpqaSlFRkbAwGDvpSk2i33rrLbKysmIiKTAygS1dunTCCMrfC4LBoOj9KPVajUQidHd3C3uG7OxsbrjhBl588UUcDgczZ84cN6FXVFTEpJ327t3LP/3TP/H0008DI5GYxsZGQcjgfz2oysrKKCsrG+ewP5pATIRIJEIkEhHVtMePHxfRmf7+fmQyGRUVFRPuKxUaSE74EnQ6HQsXLhT9XmUyGXl5edTW1jI4OAiM6D0PHDjA4sWLhbfdZDYroyG97/F4qK2t5eTJk0I/plKpKCsr+4s0uJeORWpJBJObr0rnGIlEyM3Nxe12f2b7CSnNK+0nncNE12S0Vk3aZqxNzTSmcSFimpBNcahUKpYvXx7znlKpZPPmzeO2zcvLo6CggL6+Pt566y1KS0upqqo6p8jX7/fz1ltvcfz4cRQKBZWVlaSnp0+4ypUqvRobG2P6AUrIysri61//+p95xn89KBQKcnNzWbx4MbNnz0an05GUlERjY+OkUYX+/n68Xi+JiYl4vV5hjSFBas7894y6ujrOnj2L2+0WKTwYuTYrV67EaDRy+PBhHn/8cbq6ujhx4kSMB5WEX/7ylyxdulS8VqlUeDweAoEAg4ODNDc3T5qOG52mlETj55O2v/7668XfoVCInTt30tfXx4IFC2hra0Or1Qp91lioVCrmz5/P3LlzY3zFZDIZGRkZMWnw+Ph4KioqOHDggPApa29vZ2hoiMLCQvLz8zEYDKjVatEwWzofqXF2IBDA6/VisVg4ffq06AwAIxGj0tLSmEjdXxr/8R//we9///sYMqRWq3nyySdZsGCB0MQ5nU4cDsd5a7qi0SiffPIJP/jBD+ju7mb58uV8+9vfHvf8kboivPnmm9TU1GC1WtHr9VRWVrJu3TqWL1+OwWCYJmbTuGAxTcimOJqammJ64I1GWlqaWM3DiL7mqquuoqGhgdbWVh599FGuuuoq5s+fL/ySpAnL6XSKyqddu3bhdrtFW5LJCNyBAwcwGAx88YtfFMaPo3GhWz9IlgrXXXediO5JEZ3JzEXnzZvH3LlzP/Wz7Xa7+A6NRiP0dxdjf72xURKz2YxOp8NqtWIwGIRA2+v1CqKbl5fHN7/5zXN+bkFBQczryy+/nB07dlBTU8P3vvc9cnJyuOaaa8YdSzQaxWKx8PHHH1NXV8fQ0BAwko4sLy9n0aJFwjNr7O9w+vRpcW+Ew2EaGhrIzc0VZq6BQCDGZX40FArFOILocDjo6enB6XQKW4pZs2ahVqspKSlhcHCQxsZGEW2y2+188skn1NbWYjKZMBqN6HQ6lEqlaBAeCoXw+/243W6Ghobw+/3jjiUnJ4d58+ah0WjEQksS5kvG0Gq1+s+SGiQlJQmLkv7+frq6ulAoFCIiZrVaaWpqIicn57zTiJFIhBMnTrB161YOHTrExo0bueOOO0hJSYkh2U6nk6effpqnnnoKi8USc33ef/99nn32WW699Va+QqMHKAAAIABJREFU9a1vkZ6eflHdb9O4eDBNyKY49uzZw9tvvy1eh8NhHA4HoVCIG2+8MYaQwYjT+PXXX89vfvMburq6ePbZZ/n9738vSuV9Ph/PPPMMv/rVr3A6ncKlPDExkRtvvFFUtU2E3Nxc4uLiKCoqQq/XT1ntxp49e/joo48YHh5m8eLFovXMRNV155P+6enp4eDBg+Tm5tLb20soFKK3txeTycTKlSvJycn5a5zG3wx+v18QA7VajV6vFx0hpGrdaDQaU+SRnZ3Nl7/85fP6fIfDgV6vZ+7cueTl5XHLLbegUCgwm83jiLPX62X37t3893//Ny0tLTgcDhHBkfRg+fn53HHHHWzcuHGc/9Xu3btpb28HRghWTk4Ol112GSaTibKyMoaGhsjKyjrvCV4ulzMwMIDVahWmraFQSJAhSS/W3NwcY/8QDAYZHBwUKc3zhVwuJycnh6VLl8aY7NbU1OByuQgGgzgcDvx+P4sWLaKsrGzCczmfFONNN93E5s2bCQaDHDp0iHvuuUcsRGAkfZ+bm4vRaDwvUX80GuXjjz/m29/+NsePH+eaa67h3//93ykpKYk5llAoxEsvvcSjjz5KfHw8//zP/yzabtntdnbu3MmOHTt45pln0Gq1PPTQQ1Omjds0/r4wTcimOK6//nouv/xy8ToQCNDe3s4rr7zC7Nmzx22v1+u5/vrr0ev1vPLKK1gsFvr6+sS/h8NhOjs7xWuFQkF+fj433ngja9euHafrGQ2TycTBgwd56qmnSEpKGhf5SUlJGRfBuBBhtVq59NJLRYRCpVLF9PQbDSnaYLFYxvUFhZG0lWQXotVqmTlzJoFAgMrKSuRy+UVZiu9yuTh58iRer5ekpCQqKipoaGjA7/ejUqnQ6/XExcVNKOweXdELCO+p0df+5Zdf5tprr2XPnj1cd911ZGVlTXgcw8PDvPjii/zoRz/C4XCQkpLCrFmzBGmz2Ww0NTVRX1/Pgw8+SF9fH1/72teIi4ujsbERl8vFkiVLxrUWCoVCNDU1CRd6i8VyTouO0TAYDKxYsUK8HlsAotfrWb58OQkJCdTX14tKzM8KmUwmxtusWbMEGZP+LS8vD5/PRzAYxO1209XVJSokx0Lq4ZmZmSnSqZIuS6pmhBHS6PP5yMvLw2w2x0TSpWhwKBSiv79/UqNY6ZkRDoc5cuQI99xzD7W1tdx888089NBDEy6KmpqaePLJJ4lEImzbto1bb701ZjG4ePFizGYzDzzwADt27OCaa65hwYIFF3WUTIoMj44iShWo07hwMU3IpjjS0tLG9dYrKyujubmZ/fv3s3r16nH76HQ6Nm3aRFVVFXv37uXkyZPYbDZ8Pp9I0UnNhmfNmsXatWsnrUIbDZfLRWZmpmjPMtZr6rOWuv+tUFZWRlxcHPv27SMnJwe73Y5Op8NsNo97iHu9Xt555x06OjqQyWTCPyoYDCKXy8nOzuayyy7j8ssvFxEi+N+03sU4KSQnJ7N06VJhSaDRaIRvFjBp1Wk4HObMmTO8//77NDU1IZPJKCkpYeXKlRQVFYnJ5MyZMzQ3N7N3717mz58fMy4TExMxmUxEo1FOnjzJ008/TSgU4s477+Saa64hIyNDbB8MBrFYLLz22ms8//zzPPPMMyxevJhFixaxd+9ezpw5Q19fHx6Ph6ysLMLhsCBt2dnZwrT2s9qenOs3l4hUdXU1WVlZNDQ0YLFYRIrz0yCZzmZkZFBSUoLZbB5330oattEoLy+fsJMBjCzyjh07htFopKWlRdzH0WiUQCBAYmIidrsdrVZLVlbWpBFfyTZnsoplQJgo79+/n+985zs0NTXxj//4j3z3u9+dkHhHo1Fx/0neZ2NJh1qtZtmyZZjNZjo7O6mrq2Pu3LkXtV2Nx+NhaGhIjBmVSoXdbqeysvJvfGTTOBcu3hH5d4JQKDRONB4Oh/F6vbjdbrHN0NAQMpkMv9+PXC4nLi6O9PR0/uEf/oElS5YAiDSTQqEgGAyyZMkSUeF1LkjC4g0bNkxYDSat1KTmvpL/04WKUChET08P8+bNo7i4mMOHD4trORZnzpzh7Nmzwgrg1KlTLFq0CLfbTWNjI1VVVRiNRmFcOrp1jWRlcCFfi88DuVw+TjxtNBrPSUIjkQh/+tOf+Pd//3daW1tJS0sjGo3y0ksvUVhYyEMPPcRll12GXC5n6dKlvPjii9TU1PDEE0/EXL/Nmzdz2WWXEQgE2LlzJz09Pdx+++18+9vfnjBNlZGRQVlZGeFwmJ/97Gfs3LmTuXPnCnf6xx57jEsvvZTZs2cTDod5/fXX8Xq9FBYWcuLECVwuFwUFBX/xptUqlYrMzEzS09NxOBz09/djs9mw2+34fD5RuSl1JdDr9RgMBlJSUkhJSSEpKemc0ZCxx3quFF5cXBxLliwRDcVh5B4pLCxEpVIJ3y8pCjzZ94bDYeLi4oSObaLrpdPpOHbsGA888AANDQ1s3bqVBx54YFIPQ0nIL7Woeuihh8Z5ycGIhlNKV3d2dn4uIj2VYLFYaG9vZ3BwkGg0Sm5ubkyV6jQuTFy8I/LvBHv37uXEiRPidTQaZXBwkCNHjnD77bcDIw/PI0eOCFd/l8tFamoqHR0dojorKSkJnU7H4OAgw8PDGI3GSVfMYxEKhairqxOCYI1Gg9PpFFYPwWBQOJFHIhHUajWFhYUXLBFJTExkcHCQffv2iYjAZNVZNpsNo9HIggUL6Onpob29nfz8fDEpnD59mry8PKLRKLW1tRiNxphmx/n5+X+WL9SFBp/Ph9vtFq2OJEiWF6PbbclkMoaHh1GpVAwODrJ9+3YyMzP50Y9+JETy3d3d/OhHP2L79u1UVVWRmZnJhg0bWLRoEY899hh33313TARIupahUIjjx4+j0+m46qqrzkk4tFotGzdu5MUXX+TEiRMEg0FRgGK1WnE6nVitVkKhEFarVfTatNvtGAwGent7z6uV0ueBXC4nMTGRhIQEQXokwb9EcKXUqaTP+0tPuEqlktzcXKLRKEVFRWJil66RtNCScK7v7+vri0mfjkVnZyfbtm3jxIkTaLVaZsyYMU7XNxo+n0/4yrW3t4tI9WRQKBTCquZiRm5uLunp6WKxfjGTz4sJ07/SFIfNZqOjo0O8lslkGAwGtm7dymWXXQaMPLAlA9f4+HjsdrtYRY/299HpdBQVFQEIR//zwfDwMI2NjWRmZtLV1cXMmTOpr69Hq9WSl5dHIBBgYGCA1tZWITLOysq6YIW19fX1wm9qwYIFqNXqcWlhCZFIREyGUmQxFAqhUqnIyMigrq5OVOL19fXR2NiI2+1Gq9VSXFw8qWXCVEVHRwdNTU3imkkkXKfTicb0aWlpyOVy4uPjhTdVU1MTbW1tPP/888ybN098Xl5eHt/61rf4x3/8R9rb28nMzEQmk5Gens5XvvKVSQ1SpZZBer1+0t9uNFJTU9Hr9dhsthjbho0bN/Lqq6/y8ssvI5PJMJvN3HLLLbS1tdHf34/VaqW6uvpzkyDp/pNIzej/S5CiyxLhgpFUudPpRK1WxxAzye9NilJJPWjHfufAwABDQ0NCxyeXy8VYnmyBEI1GRboxEong9/vFsUuR3nPJGqTChe7u7km32bdvH8nJycydO5e6ujp+/OMfYzab2bBhw4SRt9GeYytXruSmm276VM+/8vLyc2phLwao1eqL/hwvRkwTsimOzZs3s2HDhpj3FAoFcXFx4kGsVqtFdaRU3SaTyT41MnO+k4xOp+PKK69EoVAwZ84c4uLiKC0tFQ2EJcI3e/Zs4eB9IVtglJaWolaraWtro729nbVr1wqX8UAgIGwCVCoVBoNB+D9ptVrC4TC9vb0YDAbcbrdYocbFxbFmzRoRwVQoFKSkpFx0D02TyURycjJqtZqEhARCoRAej4e+vj7sdjtpaWloNBp8Ph8Oh0OI4aWm4KmpqeM+MzU1VRAAGKmCXbFixYRFFBJkMhnx8fF0d3dPmm4eDY/Hw/DwMPHx8THjfsmSJZSWluJ2u0URhslkQqVSYbVa8Xq9ghR9HlLmdDoZHBwUmkuNRkMoFCISiaBSqTAajaIN0mjU1tbS2NhIUVERXV1duFwuUlJShAWGRqPBbDbH+LZJiEajHD58mL6+PmbPni1836T7ciLdKYDb7ebNN99EqVTi8XhISEgQv4lkeTFnzpxJr8Poe2Yy5OTk8MMf/pDS0lL+5V/+hbfffpt/+7d/IzMzkzlz5owjl1qtVhTGJCYmcvXVV084hj4LLmZ95zQubEwTsikOjUZDIBDA7XbHrOyHhoZE410JEqlQKBSf6jc0PDyMz+cb5zw/EST7gNGYykRDsu5YtWoVqampnDp1Co/HQ1tbm9C/5OTkMH/+fLKzs2lqamJoaIi0tDQyMjJEoYTVaiUrKwu1Wi0iQsA5J6SpDsnwVBpbkndYIBDAYrGQmpo6YWRUiuTU1tZiNptFNCQcDnPy5Ek0Go1YQOzbt4+ysjJeeOEFZsyYETPWNBoNarVatDM6duwYu3fvZubMmRM2h5eiPrt27cLlclFVVRUT5VEqlRMWzkg9HfPz83G5XJ/7elksFlpbWxkYGBARbJfLhUajwePxUFVVNSEhgxESVFZWRmZmJj6fD4PBIIpKTp8+LY5zbGRJJpMxa9YshoeHBUGOi4sTbb4mi3JptVrmz59PJBIRkTq1Wi1sOz4tXapSqSgpKTnndsXFxVx66aUkJiby6KOPYrfb2b9/P9/73vf4yU9+QnFxccy+Op2OiooKNBoNNTU1nD179jMRsuHhYVwulyhmCofDDA4OCu2s9F5qauoFK7Hw+/3U19cLcqzX6zlz5gxLliwREeVpTA1ME7Ipjq6uLh5//HGOHj0qUmFerxe9Xs8NN9zA1q1bxbZer5fnnnsOtVrN3LlzmT179qTagvr6et544w3uu+++i5pATIRZs2bFvE5KSsJqtaJWq0lMTCQajQobjLS0NNatW0dCQgJKpZIFCxYQDocZGBggPT2dhQsXTigyvlgx9uEvvdZoNOTl5U26X1FREeXl5TzyyCMMDAwI3V1bWxvPPPMMCxcuFG23cnJy+O///m8h6h9NONauXcuyZctQq9WsWbOG3/72t7z44otkZmayZs0aMjIyYsiexWJh7969vPDCC8TFxX2qtYsEg8GAx+PB7/eTkZHxmZznR6OgoICsrKyYAg/JSqK+vl4Y6Y69rtXV1UQiEeLi4oT57OhtJFIyEYmQyWQxlZBjWz9NNoFL5rWfV38lk8kmFedPtG1paSkPPfQQW7du5b333uMHP/gBjz32GGlpaeIY5XI5l112Gb/85S/p6Ojgueeeo6CggISEhHHnEQwGcTqdov8ojDw/LRYLdXV1GI1GBgYGSEpKIjs7m/b2duLj49FoNFx55ZWf65z/LyD9xtKiPCsri5SUlL/rdm1TFdOEbIrjj3/8Iz09Pdx777289NJL3HzzzQwNDfHWW29RXV0ds21HRwfvvfceFouFs2fPUllZGUPIotEoNpsNj8fD4OAgQ0NDRCIR3G43drsdhUIh0lHBYBCr1UowGCQxMRG9Xi90Oz6fD7VaTXJy8qdaZUwFmM3mCaMUUkRh9Io8NTWVDRs2iLSRXC7nzJkzuN1uysrKREpKSuVKVa1TuRn7WNhsNt577z3UajWBQACtVovBYMDv9wthv8lk4tJLLxXjLyUlhQcffJDHHnuMbdu2iXETDoe5/PLLue+++wTh+X//7//R1NTE4OAgq1evjhljEumTy+UsW7aML3/5y7zwwgt85zvfobS0lMLCQuFDNjQ0RGtrK6dPn0apVPKVr3xF2HV8GhwOB0NDQ+Je8Hg8LFu27DNfq3NpfRYtWiR82YaHhwkGg3i9XuEfJum3lEql6Cmp0WiEbc2n2WtIkOwrfD6f8IAb3XbJbrfT19cnPOHUajU6nS7G42p4eBi/3y/2t1qtQqpgs9no7+8X2jbJLPjTIJfLWblyJY888ghbt27l5ZdfJjU1lYceeigmIl9dXc2dd97Jtm3beO655+jt7WXjxo2UlpaiVCoZGhqira2Nw4cPYzAYePjhh8VYSk9PJy0tjby8PHH8SqUSjUZDQUEB/f39DA4OEg6HL5gI2dgCCmmBPfo96T64WJ4pfy+YJmRTHBaLhYULF7Jy5Ur+9Kc/MXv2bMxmMw6Hg2PHjnHJJZeIbfv7+3E4HMDIqngsWerp6eGJJ54gHA7j8XjQaDS4XC5effVVIchfs2YNl19+Ofv37+ett94iHA5TUFDAli1b6Orq4vnnnycSiZCYmMitt976V6s++2tAmpgkYbUkdIb/jaZkZ2cLofpoV3ip6k3aT1qdhsNh3G43VqtVmMi2t7dTUFDAwMAALS0t6PV6qqqqLtgih88KqdUQjEQXExMTsVqtQtel0WgmTAFVVFTwxBNPcPLkSdra2pDL5RQVFVFZWRmjdzSZTCxYsIBrr72WlStXThrlNRgM3H333Wi1Wnbs2MEnn3zCJ598EhMhk8lkZGVlsWXLFrZs2XJeRAEQJNNms6FSqf7iVXsSyenv78disWCxWLDb7QQCAUF0JIwW/RuNRlJTUzGbzaSlpZ1X78ZIJMK+fft46aWXcLvduFwuBgYGsFgsRCIRfvzjH/Ob3/wGg8GAXq+nurqau+66S4zxUCjErl27+MMf/oDH48HlcmGxWMSC7eGHHyYzM5P4+Hji4+OZN29eTOT+XFCpVKxfv5777ruPbdu28atf/Yrs7Gy++tWvivtFqVSyZcsW3G43v/zlL3nttdd45513xCJHIrTDw8PjIl2SjGAij0SpiENaQF0okLorxMfHx4xl6X6SCoymMfVw4YyyaXwuxMfH4/V6RQVWU1MTKSkpaLVazpw5E7OtJFyWy+XMmDEjZkKMRqO8/fbbmEwm7rnnHl5++WWOHTvGiRMnaGlp4Vvf+hZWq5Wnn36avLw8fvvb37J27VpycnJ44oknmDVrFjabjeHhYb7xjW9gNBon7f94ocLj8bB3715RuSVFB5OTkykpKaGuro729nahL0lISCASidDR0UFdXd2EruqSuLqurg6z2Ux2djYOh4NgMEhXVxfFxcX09fXhcrkuGkKWnZ1Ndnb2ODuEsRhLFORyOcnJyaxevXpSYfloXHXVVTGv7XY7Q0NDQrcmGaDef//9rFu3jo8//pja2lpsNptIn82ePZtFixZRWVn5mQpNkpOTWbNmDWq1GrvdPuFvd75WEGP3CQQCdHZ20tjYiMVimbA35WRwu9309PTQ0NBAYmIixcXFFBcXjytWGPudHR0d7Nu3L+Z9yRU/GAyK9lEwQsCCwaB4HYlEaGlp4cCBAzH7S2lRn89Ha2ureH8ispCSksKMGTPIzMyM+XcpXfuFL3wBl8vFL37xC377299SWlrK2rVrhR4tKSmJ+++/n0svvZRdu3Zx9OhRurq6hHxj5syZLF68mFWrVk1KviaCSqX6i0X5A4EA4XAYrVaL2+1GqVSKbIJCoRDP4+HhYcLhMJFIBL1eTzgcxufzIZfLMZlMnDx5ktOnT1NWVib81aRjDYfDLFq0KEbHOY2pg2lCNsVRVVXFvn37UCqVlJSU8MQTT/DBBx9w5MgRNm/eHLOtdINKKY2x6O7uprCwEIPBQHl5OcePHxceS2lpaeh0OlQqFR0dHdTX1yOXy9Hr9WRkZAg39sbGRv7rv/6LhQsXcs0110wpcb/04EtOTiYYDKJQKEhPT0ev14uVcm9vr3Cfh5Go4zvvvCNSt2NX0gqFAr1eT1FRkWhgHYlERMQxNTVVRM8uFoy1bDgf2O12LBYLM2bMGDcB+v1+uru7ycrKQqvVTloF19HRwbFjx2KakEstexYtWsScOXPEpAiIVPFEYv+xcDgcQicmRV4UCgVDQ0MYDAZheSIdeyQSYXh4WESa1Wr1OEuLie4Nr9dLTU2NaDX1eREMBunv72doaIiuri4WLVoUo70aDYVCwZe+9KVxBHcyjK2UVKvVfO1rX+Pmm28+r/0nOu977rmH22+/HbVajcFgwOVycfr0acxmM9FolBMnTvCVr3wFo9HIrFmzaG9v54MPPqC0tFS0f0pJSaGyspLMzExuuOEG2tra8Pl8DA4OMnPmTObOnYvBYKCnpwej0ThOGyuJ+bu6us5Lg9XT08Pu3bsxGAysXr36U/VxdrudhoYG5s6dy4cffojRaMRut6NUKtHpdKJw5OTJk8ILMjU1FbfbzcDAAJFIhGuvvRadTidSrU6nU1QoS83np9IzdxqxmCZkUxyrVq2isrKSuLg4brjhBkKhEKdPn+baa6/l6quvjtnWZDKh1+uFGHksJEPUQCBAX1+fsMhobGzE6XTidDoJBAKkpqZSWlrKrbfeSmVlJYFAgLi4OILBIHfffTcNDQ1s376d8vLyGE+pCw1+v18UQ8jlchwOByaTiblz55KYmBgT4ZHJZJSXl4tm7dLE1traSiQSYdOmTROm4aLRKP39/SQmJoqVeUFBATabjdLSUhQKBUaj8bxTZRcaxqbPIpEIoVBIVKOGQiGRUpOuzei/JRw7doyf/exnPPXUU+Oq5CwWC/feey/f//73qa6u5te//jVms5mDBw8yNDQkthsYGGDBggXAyHV3uVyoVCqhp9JoNJ8aBZM0WxDb4qmtrY36+npUKhUulwutVktGRgbRaFQQiLKyMhFV6u3t5eTJk2RkZNDS0oJWqyUSiWAymYQP4Fi9msvl4uDBg7S0tIzrviFdNykdNbbzhaTdGl1pDSPErKOjA5/Px/Llyyds/yWTydDpdGg0Gvr7+0lJSflMUaFoNCoqsifTQkajUdxuN729vej1etG5QRojWq0WnU4nomNer5fOzk5aWlpYsWIF4XBYRItycnI4e/YsAL///e/Jy8vDaDTy7rvvsnbtWhobG4XXmk6nw2AwYLfb6ejooKqqimPHjmGz2UTFZ39/P4WFhezevZuFCxfS0tJCNBpl5syZLFy4cFKy3tDQwB133EF+fj6vvPLKpxKylJQUgsEgtbW1pKSk0NfXx7Jly9i/fz9er5fExERB5NPT05kzZw779+8Xla9FRUVoNBpmzpwpnkPZ2dnYbDai0aiI3E9HxqYupgnZFIderxeTeUpKCnfeeacwJh0brcnLyyM1NRWXy8WZM2eYO3eueADKZDJWr17NT37yE5544gna29vR6XRUVVVx9OhRtm/fjtfrpbq6mlmzZrF69WpefPFFsrOz0Wq13HjjjdTU1HDs2DHC4TAGg+GCd6CXtF4ajQatVkt6ejoKhSImijFZ1aAEaSWbk5Mz4YNQ0q+0trYKy4fU1FRhjgojrtoXimD4s6K1tVU480vCc6fTSU5Ojphc9Ho9Xq9XOM2bzeZxKRWv10tvb++ERERKidlsNgBWrFhBXFwcb775JjfccIMY56dPn8bpdAIjZPs///M/qa6uZuPGjecVNfB4PHz00UdiQs/OzmbZsmWkpaWRnp6Oz+dDq9UKq4S0tDRRlDF2Mg4EAiKSmp2djUqlEt5dUs/H0ecfiUSoq6ujubl5HKnS6/WkpqaSkJCA0WgkLi4upmWRFNmVim+sVqtoEyShv7+fQ4cOsXbt2kl1ZS6Xix/84Ac88MAD5Obmfur1kuDz+Xj22WfZsGEDVVVVE24jpUW3b9+OSqXin//5nxkYGBDnHg6HSUpKori4GLlcTn19PZ2dneh0Onp6eujo6MDr9ZKcnIzD4UCtVjNz5kyOHz/O8PAwTqcTlUpFXV0d/f39pKWl0drayqpVq0TBg8/nA0YifLNmzeLAgQMkJCQwf/58GhsbSUpKorKykv7+fkpLSzl69CgLFy487+vwaZDL5RQUFHDo0CFWrVqF2+0WXVZSU1NF/1ZJqC+Xy4V8QvKJG205IuF8K1enceFjmpBNcXR1dREMBsnPzxc3slKp5PTp0xiNxpiGvJmZmVxyySX09PTw/vvvs2rVqpiJsaKiggceeID+/n6uvvpq1Go1OTk53HPPPbS2tqLRaCguLkar1bJp0ybKy8txOBwkJiai1WpFVVMkEuELX/gCubm5QvsgpWwuJKjVaubMmQOMb/9yvkhMTKS7uxufzye8nEZDesB6vV4ikQg+n48zZ85QVlYmyPBUFuC2tLTg8/koLy+ns7NTEATJXiA5ORmXy0V3d7cwPk1KShI2D1Iv1mAwGFOtJyEajdLV1SXGESDsL+644w5mzpwp3s/IyKCtrQ0YiQzt3r2bwcFBFi5cSCgUEhWfycnJ4yKSNpuN//qv/+KFF14QrXj0ej1Llizhu9/9LtXV1eJemShlOnbsmM1mMjMzzxmRG12laLFYaGxsjCFRBoNBVIaaTKZPrcSVPNU8Hg9dXV00NjbS398vPrO3t5fGxkYRRZT2sdvt9Pf3iwrYcDiMw+EQUfL09HRMJhMWiwWZTIbdbkev1wuPK4vFQlVVVcyzxOPx0NvbSzQaFYL+yspKbrjhBl5//XXhv6ZSqcjOzqauro7CwkJhYF1dXU1OTg5arRa1Wi2I6KWXXkowGGT58uUkJCTwpS99CZlspEfv8uXLsVqthMNh6urqWL16NV6vl2XLliGXy2NSxQ0NDZjNZrRaLbW1tRQVFdHf38+JEyfQ6XSkpqb+xReUUheP5ORkMjMzMZlMWK1W4uPj0ev1WCwWlEqlMOjV6/VUVlbS3NyMyWTi1KlT5ObmTqckL2JME7Ipjtdff53Ozk4eeeSRmKjOq6++il6v59577xXbKhQKNm3aRHd3N/v37+dXv/oVt912GykpKSKNVFJSQklJScx3pKenC0d1gLNnzzI4OIhWq0WpVOL3+6mpqSEpKQmz2YzT6cRms4migqKiIjGJXmj4rHqnYDAYI2g2m800Nzdz8OBBysvLMRgM44olQqGQSDNJpOxiQVVVFUlJSWg0GgoLCwWpkqpNQ6EQXq9XiPwlEbYUFXmQZbNLAAAgAElEQVTzzTc5cuQILS0tdHZ28p//+Z8xZCkUCnHw4EESEhLGVeyWl5fHvE5LSxtnUFxTU8P3v/99ampqGBoaIiMjg8suu4zbb789hkB89NFH/PrXvyYUCrFhwwb0ej01NTW8//77aDQafvKTn4g2QxONE+k9qQJ3ohR0T08Pdrt93HGHw2Ha2tpiqlNNJhNLly6loKAghkycC9KCTK1WYzKZyMrK4qOPPqK9vV2kB1tbW6msrBT6KJfLxfbt2+nr60Oj0QiLh6NHj/LOO+/g9Xoxm83cddddPPbYYwwPD6PT6bDZbGzdupXS0lLee+89duzYITzCfD4fv/nNb2hsbCQUClFSUsIdd9wRE9mZN2+eWAzJ5XIyMzOFtx+MVOdKKThAPH+k6yq9n5WVFUOGJbKvUCjo7u5m1qxZ44qLVq1aRSgUEtc1HA6jUqlEIY9kz3HFFVd86jX/LPB6vdhsNpGZMBqNYrxKDcDD4TChUEjoD9PT0xkcHMTtdgsT5HA4PKUXcdOYHNOEbIqjr6+P9PT0GBIgGZY2NzfHbCuFvm+++WZkMhnvvvsuHR0drFy5ckIyMRkcDgdtbW2EQiFycnLo7e3F5/ORnp6O1WrFbrdjs9lQKpUEAoG/+Dn/LVFbW8vhw4dj3vN4PDQ1NVFbWzsuiqHT6diwYQOrV68mLi5O6Kuam5tJSkoS1zshIWFKrnxHR2DlcjlOp5OamhoikQg9PT2iPVRKSgq1tbWimGTlypWYTCZSU1PF9RsaGuJPf/rTOP1STk4O99133zhSP5aktLW1UVdXx3XXXSfea2ho4NSpUxgMBjQaDW1tbTz11FNYrVa2bdsmTFU/+OADnE4nX/nKV7j//vuJi4ujubmZ++67j3fffZeamhrmzJkjNGQGg0G0KfJ6vSQkJBAfH8+HH36I0+lk5cqVpKamYrPZRESpra2NY8eOodFoSEhIEITD7/eLaBKMVOYuWLCAnJwcDhw4QGJiIi6Xi6GhITweD+FwmJSUFM6cOcOMGTOw2+1kZWXhcrmYN2+eGFdJSUksXrxYiMIB8bdkvNvS0kJHRwf/8i//wuDgIN///vdRKBRUVVWRnJzMwMAAv/jFL3A6nQwPD1NSUsJtt93GL37xC44cOUJFRQXXX389J06cEOnm9vZ29uzZw5YtW1AqlfzsZz9j3bp1ok8ujG92PdY0eDICei4yLEHq3VtcXDwu/St99+jvl8bbWJLzl5YRSCR7IrhcLurq6oTO1+/3i8yC0WgkFArh8/loamoiLy9vylWwT+P8ME3IpjhUKtWEERe32z3uQXX69Gl27dqF0+mkr6+PSCRCbW0tDQ0NQu8yWsg8Ge677z42bdoEjDy0pIl3tBv76FXrVNNHSdGEiQSyCQkJMVV8nwaNRkN8fLywRZBE71IUUUJVVdWUJGRjoVKpSExMxO12U1JSgkKhEG7zeXl5qFQq6uvrRRXrsmXLWLx4MXv27OHxxx/npz/9aUybIqlhtUqlEuNIMkMei7Nnz45rcSSXy1m6dCk33XQTaWlpdHR08NJLL/HWW29xxRVXsH79emAkehUKhViwYAFJSUkoFApmz57NDTfcwIMPPsihQ4fo6+sjKSmJN998kyuuuIJAIIBOp6O1tRWfz8fNN9/MJ598Iro0qFQqXnjhBeLj45kxYwYymYzGxkZRoXnbbbcJ81xJ+wYjafDCwkIRUXznnXeYMWMGnZ2dFBQUYLfbaW9vR6/X43A4GBgYIDk5WaTOr7jiCjGWEhMTmTFjBoODg8JSQ7JJgBEioNfrSU5OxmAwCAPfXbt20dXVRVxcnEgDSrIEvV5PUlISDodjwjS/0+mkpaWF999/H7VazYIFCyYd26FQiKNHj3L48GGuvvpqlEol7777Ll6vl0WLFlFVVUUkEmH//v3U1taSlpbGmjVrYn7nDz/8kIMHDzJjxgw2bNhAXFwcPT099PT0iLRvXV0dO3fuxGw2c/XVV4+LpMLIfW+1Wvnkk09ob2/H5XIJK5bCwkIqKiomJELSc8LlcnHo0CGRxjeZTMyZM4fKyspPvbeVSiVJSUmCfGm1WhGpU6lUpKeni/7EU+15Oo3zxzQhm+KYM2cOv/jFL3jnnXdEqvHMmTO8//77XH/99THbNjc38z//8z/jPkPS/YxOxZ0LwWAwZoUpVZbBufVQTqdTTAZSifbfGn6/XzT7lnoSSiRXqVSSkZFBfHy8eAgWFBSQn5//mb5jNKnTaDRUV1cTCAQEKZHc1ac63G43Ho9HVI06HA58Pp/o0Wg2m/F6vVRVVeHxeGhtbUUmk1FYWEh+fj6zZ88+r3Gxc+dOqqurx01yE13D7Oxstm3bxrx580R6ymw2881vfpNDhw4JQiZFckf3bpXJZCxYsIC4uDiamppYvnw59fX1KJVKOjo6KC4upr29nXA4zOnTp0lKSmLevHl4PB5WrFjBmTNn8Pl83H333SgUCg4cOEB1dTVXXHEFv/vd7/D7/UKoPTw8LI45NTUVjUZDOBymqKiInJwcEhMTsdvtQiYg9btUKpXifiwqKkKv18dcB6mJvUajEU70o6PWko+h3W7Hbrfj8XhwOBzs37+fBx98EEBEhCUiOVr7NhEk25zbb7+d3Nxc/H7/pL9pOBzmww8/5NFHHwXgwIED7N69m+HhYYqLi3n88cc5c+YMP/zhD+nt7UWr1bJx40Yef/xxkeLcs2cPP/zhD9m4caMo+PB6vZw+fZqioiKi0ShHjx7lO9/5DosXL2b16tUxxxONRnE6nezYsYNf//rXtLa2Cq9AmUwmGphfddVVPPnkk+PGmVKppK6ujh/+8Ici0ipZoGRmZnL11VfzrW99KyYlCwgT3XA4LHq1ajQaHA4HOp1OvJa6hHxenes0pg6m/izwd45LLrmEhoYG7r//flFKbrfb2bx58zgNRHJy8rh2Sp8Hnzdc3tjYiMlkEtVhFwKcTidHjhwhKSmJ5uZmhoaGRFTBarVis9liKq3GRs0m88Sa7MEZjUYZGhqiubmZYDCIXC4nJyeHnJycKa8LsVqtHDhwAJfLxcyZMzl9+jRerxcY0dqlp6dz/PhxYRlRVFSE2+0WYu7777//vMbWVVddxWWXXTYutdnY2EhdXV3Me6WlpeTm5orfR6FQUFRURGpqKhaLBfjfiCiMj+YaDAaSkpIYGBigtLSU1157jSuvvJK3336bxYsXs3fvXoqLi8UEbzAY2LdvH6mpqaKh+fPPPy/81aTCj7GT+tg0t3SskgWITCaL0U9JgnNpv4aGBhHRCQaDlJaWipSoROLGfpdMJmPGjBmkpaXx6KOPotfrUalU6PV6cnNzeeaZZ0RqVro20r5SpKazs5M33niD48ePAyMSihUrVrBkyRK2b98uCotuueUW9u7dyx//+Efq6+vZvn07V1xxhUh5ezwefv7zn1NWVsZ9993HG2+8wSeffMLDDz+M2+3myiuvxGg08txzz/HKK6/w5S9/mcsvv3zSMRIMBlGr1ZNWfY6Gy+Xixz/+MY8//rgoUNm4cSNpaWkEAgHa29upqakRNjVjYbVa+f73v4/b7Wbjxo0UFxcTCAQ4ePAge/fu5cknnyQrK4tvfOMbMYsIi8VCR0eH6EHs8XhYuHAhDoeD3t5esrOzx1VvX2iFUdP4y2KakE1x6PV67rrrLtatW0d7ezuRSITc3FxKSkrGGR/OnTuX4uJi4Q0lTUTSCns02RjtHD0Wn7XZuFS9BSOkUKFQ/J+70kviemlykcxAExMTWblyJXK5nIqKCgYGBlAqlaSkpAgDyXOlCFpaWggGg+OE2jDyoO7p6aGsrEw8iIeHhzlz5gy5ubkYDAZ8Ph9tbW2YTKYprwsxm82sX79erPjLysqIRqPCgkWlUlFeXk4kEkGj0aDT6URFpVqtjikcORckh3ZJgC2N5by8PDIzM4H/NYQNh8PjyLHk2xUKhYSQW9Iajd1WimBK/nv33nsvaWlplJWVkZGRQVJSEtFolPXr1yOTyZg9ezapqanEx8eTmJjIli1bGBwcFOnA0tJS4uLiuOqqq8SYkO4HKUItLVYkCxGFQiFa/0jXbKyxqdfrxeFw4HQ6iY+PF4UVUlRQOj+pT6MEk8nEvffeS29vr2jFk5aWxj/90z/R29uL0WgULdC2bt0qiOcVV1xBOBwmLi6O9evXc8kll4j7yWAwcMstt3D27FmGh4dF/9uqqiohwpd0hRICgQDRaJQHH3yQ6upqZs6cya233sqRI0e45ZZbePTRR1Gr1fT09PDCCy9w/PjxSQlZNBoVz7PzWfjt3LmTn/70p0SjUb72ta9x1113kZOTI8aP2+2mv7+f9PT0CQlRf38/8fHxPP7441x++eXEx8cTiUSwWCx885vf5A9/+AOvvPIKN998c8w55+TkkJGRIQpcYCRiKbXkMplM0wTs7wzThOwigE6no6KigvLycvEgmghxcXFCjzE8PEwgECApKQmVSkVGRoYwW4xEIsybNy+GIEQiETweDz6fD6vVSnJyskiz+P1+otEoCQkJhEKhmH6OMpmMYDDI2bNnUSgUtLe3i1D+RN0C/lrweDycOXOGuLg4urq6ROPv3NxcEhIS6OvrIzExkezsbDweD4FAQKxOPR6PsBOZyB3e4/GMI2SSPcDBgwfJz88Xk690fdLS0kQ0ore3NyZlNVWhUqnGeSJJPkrS5ChVwcHINZJIhTTxSd0gJGPXuro6tFot5eXlomBCioy9/fbbzJ8/X1RfNjQ0ADB//nwUCgXZ2dkcP36c9vZ2kS6S0ovd3d2o1WoaGxvRarUMDg4CxBAZQNhISL5xkj+XVDU6VjOp1WqZMWOGOL9wOExPT4+wM5DJZFitVlJTU9Hr9cLFPyEhQejInE4n0WgUj8fD+++/T2JiIp2dnYRCIYxGI1arlRUrVlBRUSGu8/z582OOY3Ra0e12C7Kn0Whi7mvpN5A0ejKZjFAohFqtpqCgIMasdbQ0YfTvPNFiRKlUUlZWFvNebm7uOH+z0eO+qKiImTNnolAoqK6uJiEhAbfbzerVq8U4KS8vRy6X09vbO+47R59TQkICy5cvn7BN0mj4fD527NiB1Wrl8ssvZ9u2bTH6NInAnsvrSyaTcdNNN3HllVfGRDezsrK4/vrr2b17N729vXR3d8cQsskay4+uvpzG3xemCdkURzgcpqamhj/+8Y9Eo1G++tWvkp6eTm1tLenp6UJ/MBaRSAStVotWq0Wj0eB2uxkcHESpVJKYmCgiSRKcTievv/66cMxWq9X09vZiMBjIysrC7/eLcn+bzYbRaGTNmjUoFAq0Wi1lZWU4nU6MRiPBYPD/PGUpk8lwu91Eo1G8Xi9ut1u4X9fU1FBbW4tMNtJoWqfT4fF4SE5Opquri/j4eHJzcykvLz/vFas0MQaDwZhKL+khfOrUKYxGI16vF7/fP27ikPb7LP0VL0QMDAxQX19Pbm4uO3fuZN26dXR0dKBQKDCZTIJI9Pb28vDDD7Np0yY2bdqEy+XiX//1X9m5cydqtZrbbruNr371qzET2Pvvvy/2BxgaGqKlpYX58+ejUqlYsWIFe/bs4eGHH+aWW24hMzOTM2fO8Otf/5rh4WFsNhu33XYbOp2OpqYmFAoFJ06cYO3atWKx0NLSgtVqZeXKlQDCQkIy6JSsJiT9oWRnIE28Ehm12+2CYEiu/dK40Gq1mM1murq6iEQi2Gw2vF4vBoOBNWvWoFQqmT17tjAtjkQikxKNseMzGAxisVgEITMajePIxbFjx2hpaUGlUglCGggEWLBgAVVVVYKQ9fX10dnZiVarpbCwEL/fz8DAAIFAAJPJhMPhICsri6GhIZxOJykpKQwMDFBQUIBWq6WtrQ2n00lSUhKFhYUxKWcpuiZdd0l3GAqFYp5hEuE5V1spmUyGz+fj5MmTrF69+pwtkKRuANFolM2bN38uk1Wj0ciiRYsmjPpnZWWhVCpFIc80pnEuTBOyKY4TJ07w8MMPYzAY6Ovr40tf+hLp6em88sorZGZmcvfdd8dsr9frWb9+fcxKWvp79uzZ4r2xkMvlQhOj1+sJhUJUVFQgl8tFiN3n85GRkSEqskaLo6UemHPmzMHpdGK1Wj9z6vPPgV6vFyXnko5utHeUTqcTq1Kp6a/ka+VyuVAqleJ8pGiOVIru9/uFmaiEQCBAU1OTaBwsQa1WCxNVm81GXFwcFRUVxMXF0dDQQEtLCxUVFfT09Ijeg9nZ2bS2thIMBhkaGmL+/PkX3AraZrPx4osvikiThGXLluF0OhkcHMRkMnHo0CGcTifFxcUx6cGOjg4OHTrEli1biEQi7Nu3jzfffJMtW7YwMDDACy+8wLp16ygtLRX7SGNKavLe3d0tJl+lUsmGDRvYtWsX+/bt4+DBg2I/tVrNF7/4Ra644goeffRRTp06RV5eHjNnzuTVV18lKSmJRYsWYbVaefLJJwmFQixbtgxAVIhKaX6FQkFiYiIdHR3Ck2/x4sWCkGVlZcV4ZU1kLCvp2pqamoRNRnNzM5WVlX9WGjsajdLb2ysae8vlckpLS8eRfIVCwYwZM9Dr9QSDQRGllCpFYSQt9/TTT6NSqXA4HJSUlBAXF8cHH3wg7hWPx0NlZSVHjx4lPj4ev99PXFwc1dXVrF+/nnfeeQe/309bWxu33nprjEGt1Bd3tL5NLpeLPo+jtwMmtLMYfd4SARq7sByLvr4+HA4HKpWKsrIywuEwXq+XQCAgJBzSf8PDw6LF0WjT2ISEhHGCfQmSdm90S65pTGMyTBOyKY733nuPsrIy7rjjDlEVpVQqyc3Npb29fdL9PqtQ1GAwxDxAx1b8jLUbmOhzJbNGr9f7N7F4kHobjl3JSqL6sZBW7cPDwzGkanh4mI8//pjOzk5hCSAJxCVIPR4XLlwYk5qVqtxKSkpE9ERqe9Pc3IzVahWtr2w2GwqFgrq6OoLBoKiyS0pKEuT5QoHb7eb3v/+9MAOWUFBQwNVXX00gEECv1wtN1OhUmLR/JBIhJycHj8fDrl27mDNnDnfccQc9PT289dZboqWNhNWrV/Pss89iNpsJBAL4/X6+8Y1vAIho5w9+8AOef/55Dh06hN/vx2AwsGrVKm655RbS09MpKiqitbVVkKZ77rmHRx55BKPRSCAQwG63M2/ePJYvX45MJuOSSy4Rmh+JNABUVlYCI42h1Wp1TNpTOp6J/paQkJDArFmz+OijjwgEAtTU1BAXFzcuknS+kMbk4cOH8Xg8Ir06kWVLdXV1jK3I2OOMRqMcO3aMjo4ONm/ejMViYc+ePSxdupSSkhISExOxWq1kZGRQU1NDYmIiX/jCF3j55Zf54he/yJ/+9CdSUlJYtWoVQ0ND9PT0jOsYIFVwToTPavMgpYklOyApqjgRpHZfUuS6sbGRU6dOCT8wh8NBV1cXFRUVoptBVlYWy5cvF5+hUqkuCsuaafztMU3IpjicTidms5mEhISYB+jYps8w4rXU1NREfn7+57ZukEr0pVVkXFycaG/yaQ/OvLw8enp6UKvVQnz9fwnJmkDS+Eg4FyGVqtRGQ6vVsnjxYmbMmMHHH38srBxGQ0rJ5ebmiglVSpeePn2aBQsWiF51bW1tQkMkGYRKmqGFCxeye/durrnmGo4ePYpGoxnnWH8hQ9LzSNf4XJoeKSXX2dnJvn37eOCBB0hMTMTpdCKTyYRdg5TOXbFiBbm5uTQ3N6NSqUT7HglyuZyioiL+9V//FYvFgsvlEulEqdqxqKhIGJZGo1G+973v8dOf/pSamhqUSiWbN2/mrrvuIi8vD5lM9qmapEsuuSTmtVRUIJfLCYfDMVHjsanPsrIygsEgx48fx+Vy8eGHH9Ld3U1BQYHQHE7k2i8V50gFOjabjfb2dlpbW8W1y83NZcmSJeh0unHkRBqfE5EWKTpks9lwOBycPXsWpVLJ9ddfj8PhELo2yTsrGAySkJCAwWAgISEBnU5HKBTi3Xff5cMPP6S8vDxG0/aXwuhrIqV4zWYzer1e6F8ngvTsGhoawufzUVBQIMjZ8PAwaWlpmM1m8vLyROp02gdsGn8tTBOyKY6ioiL27dtHe3u7qMo6efIkH330EZdeemnMtidPnmT79u1cffXV3HrrrZ+5giccDnPq1CneeOMNGhoaROPo6upq1q5dS1lZ2Tn9tNxut2j94fV6/+r6KCl1IaUTJV+hSCSCw+HA4/Gg1+sxmUz4/X5RyQaIJtCBQACbzUYkEhEaF7lcLqrcrFYrAwMDkzYhHk2S/X4/FosFp9MpCihCoRB2ux2NRoNGo2HOnDn09/ezZs0aYCQy+fWvfx3j/8fedUdHdZ/ZO733phnVkUYFdWQksABRJAQYMMYFgu2clI1jJ06yydqJN7t74pOcteNdJ8dx4s3ZjTeJN7GNDzE2xoANBoMoAoFABaFeUG+jGc1oet0/dH6/zKiDcWLsuef4YD3NjF6b9+77vvvdK5UiISEBgUDgMx/afisghOPgwYPo7++nFVkmkwmn00mrhgBw6NAhDA4OUpJGbpBtbW3YsGED8vPz6edev34dLpcL7e3tAKYrIvHx8di6deusigyDwUBZWRlyc3MxOTkJJpMJhUIBhUJB/0YgEEBXVxfi4+MhFovpd2J4eBi5ubnQ6/U0paClpYUSFBKSTSqjZKrQ6/WioKAALBaLBq9PTk7i+vXr8Hg8aG5uRnd3Nz1PJRIJ+Hx+VBRXMBiEx+OB0+nE5OQk1SUSgiUWi5GQkACLxYLh4WE6WLIUyOVypKSkQK/XIyUlBbt27YJcLofP58OJEydgtVoX/YxwOIxLly4hIyMD9957Lw3U/qQgVUiyL0geKoPBiBLGO51O+n2bCZLTOTg4iJaWFpSVlUWR+sj2Mkl1iCGGTwsxQnaHY8uWLWhpacFPfvIT9PX14bnnnoPD4UBhYeEsHzKfz0dbBiRE2GKxwOFwQCAQQKlUQiKRzFl+D4fDaGxsxMsvvzwrkqmzsxMXL17E97//fZSUlMzbeiCfa7PZYLFYPnWbB5LdNz4+TqfTdDodhoaG0NvbC4lEgr6+PqSlpcHpdKK1tRXx8fFwuVwQCARYtmwZOjo66E1/YGAAhYWFdDsYDAZSUlKgUCgWNcsEpgmt2+2G1+ulWiviQxYXFwcOhwOn04mUlJSoLERCXD/PbZGMjAxs3boVL7/8Mvh8Pv7pn/6JutU3NTVBr9dTXZZKpUIoFMKZM2fAZDJRXFyMQCCA8+fPR00eAtMaLmIFIRQKEQ6HIZPJ5q1ysNlsaLVaaDQaVFVV0QgiArfbjb/85S/Yu3cvxGIxwuEwLBYL/vznP2Pbtm3Ys2cPgGnR+UcffYSWlhbqnM/hcCCXyzEyMgKfz4dQKES3qaenB42NjdRclyAcDsPtdsPtds/S5y0VDocD1dXVt2QqmpaWBqPRiOLiYjQ2NuKXv/wlNcwVCoUQCoXg8/m0Uk7sPdhsNsRiMTgcDiQSCfLz83Ho0CFa+V1IaH+zUCgU4HK56Ovrg81mm0WoRkZGcO7cuTnfm5ycjNzcXLS2tmL//v245557kJKSEqVlI58T+XMMMXwaiBGyOxwajQZPP/00ampq0NzcjFAohKysLKxevXpewtPf3499+/ahvr4eIyMjNPxapVJh/fr12Lx5Mw0cJ/B4PDhy5Ai6urrAZrORnJwMlUpFcy0HBgbw+uuv06fpuUBiQIg7+acN4gW0bNkyyOVyWK1WhEIhDAwMwGAwICkpCb29vRgYGIBUKoVYLEZGRgacTieampqofiQpKQlcLhft7e2YnJyEVqulIl2pVAqZTAa32w0WiwWbzQaRSEQd64nfGWl3ZWRkQCqVRo3/kzbUzbaR7wSEw2GMjo7S/EeZTEYJx/j4OOLi4uByueB0OrFnzx5s3LgRfr8fGRkZ6OjogEqlgt/vxwMPPACFQoGWlhbk5uZCpVKhvr4e//AP/wCj0UjJzcxKiFqtjgoFn8sWwmazob6+Hi6XC8nJycjMzMTVq1fxhz/8ATk5OcjKykJZWRlEIhGuXr0Ko9EIuVwOYJrArVy5MirflLRK16xZg1AohC996Uu0LUnyXUm7miyzWq0YGBj41I7BJ4VQKERZWRm2b9+Ouro6cLlclJeXUy848u/q1aupQP/xxx+HSCRCfHw8raSTSexb0cXNh9zcXMjlcvT09GD//v148sknoVAoEAwGMTAwgP/6r/+iligzweVysWfPHpw5cwaXLl3Cs88+i29/+9vIyMigFdDJyUkMDg4iGAxi5cqVt229Y4hhJmKE7A4HKaWvX78epaWlCIfD4PF4UVOOM0GEqzMv1GNjY+jo6EBzczO+853vRI2bj4yM4Pr16wiFQiguLsa3v/1tJCQkwGq14p133sG7776LtrY2VFVVYc+ePXM+STocDng8HrBYrL+JDoq0LAUCATgcDrUbIBmETCaT6l6IlQDJTQRAp+mI1icrK4tWrsLhMGpqamCz2aDX6+H3++F2u+F0OqltSCAQoAaiBDwejxpMkhuZx+OZJaom606mO0nM0kxx+Gf9id1ms+GDDz6gon69Xg+32w2r1QqHwwGVSgWfz4e0tDS6fS6XC7W1tVCr1Th58iTUajUMBgM++OADeL1eyOVyPPjggxAKhThw4ACKiorg9Xpx5swZak9BMHP/zPzZ4/Fg3759GB0dRXx8PI0rcrlcsFgs8Hg8cLvdVJM5OTmJP//5zygoKFiSRQLJ9ozE39J/73YgEAigvr4er732GsrLy8Fms3H16lVYrVaUlpait7cXg4ODyMjIwPj4OMxmM5RKJSorK2krHogOor8dIMeypKQEmzdvxhtvvIEXX3wRZ8+eRUJCArxeLzo7OzE6OopNmzbhww8/nPMzNm/ejB/96Ed48cUX8cYbb+Ds2bMwmUyQSqW0i9Df349Vq1Zh3759t3UbYoghEjFCdocjEAigrq4ORzPU9Y8AACAASURBVI8eRVdXF8LhMIxGI7Zu3Ur9mGaCTPdpNBokJiZCKBTC5/NheHgYQ0NDqK6uRnJyMh577DFKEmw2G22ZFBcX06BovV6P+++/Hx0dHbh8+TKuXbuGHTt2RLXcCGQyGbRaLSYmJv4mMUEkMJ3ogQgBEIvFsFgskMvlNDdurvXhcrmQSCTQaDRQKBTw+/2zJibtdjtt2ZB2GDE2dblcswxf3W432trakJOTAx6Ph1AohO7ublp1I5OgPB4PTqcTLBYLXC4XExMTkMvl8Hq9tOoWHx//mSdkhHAqFArk5+fj2LFjNLmA+G+NjIwgPT0dLBYLf/jDH5Cfnw+bzUa94woKCuDxeDAwMEB975hMJr785S/j/fffxwcffAAOh4OSkhKqvVsqyHEirU+TyQQul4uSkhKkp6dj48aNdMISAMrKynDo0KHbvp/EYvHfZdBlMSgUCvoAlZ6ejhUrVqClpQVJSUlISUnB4cOH4XQ6kZaWhlOnToHL5WLt2rW4cuUKxsfH57wO3G5IJBL8+Mc/BpPJRFVVFc6dO4dAIACxWAyTyYRnnnkGJpMJly9fnvP9QqEQ3/zmN6HT6bBv3z40NTWhurqaPjxKpVIkJiZ+5iabY/j8IUbI7nBcuHABzz//POLi4pCfnw82m43W1lY8++yzePrpp1FZWTnrPQwGA2vWrMHevXuRkpJCY1uGh4fx7rvv4v3338fZs2exbds26s7t8/loW06j0USJ9zUaDUpLS1FbW4v+/n5YLJY5L8S9vb0Qi8Ww2Wzw+XxITU399HYMpglZamoqOjo6MDw8DC6XCx6PRz2famtrweVykZmZCZvNRp3gSeVMJBIhNTUVnZ2dAKYNILOysmiO39133w23203DxyPbYWRwINJbCfjrlGrktJ3f74fP54PNZsP4+Dj4fD59Op+YmKBRMD6fDw6HA0wmExwO57ZXHD4NyOVylJeXw+12IyEhATt37oREIgGTycTQ0BB0Oh2MRiONkUpOTkZKSgoluzt37qQRNkajMco1X6PRYOfOnXT6koj8vV4vjUWyWCwQCoXUEX+mMFsgEODRRx/FkSNH8Oqrr6KwsBBf+cpXPvX94nA4cODAAWRmZkKn06GhoQFqtZoat/b29lLtY3FxMa3UEZBqXXp6+qLtv0h5ANGk8Xg8OtUKzK+NIlVL0mYMhUL0QUylUtHAcqFQiNWrV6OjowM6nQ5sNntB3y1SdWYymdixYwdSU1NpVSsUCkGpVOIXv/gFQqEQjEYj/H4/pqamsH79evzpT3+CTqejQzgsFguJiYl46aWX0NjYiMHBQTohqdPpMDExgaysLPz+97+fM02CbN/evXuxdetWdHd3Y2xsDH19fdDr9eju7kZaWtqsa2l+fj72798PkUg0r9zAZDLhl7/8JVpbW5GRkbHgcYohhhghu8Nx5swZOtpPoorcbjdefPFFnD59ek5CplKp8PDDDyMvL49eiLlcLtLS0vDQQw+hqakJo6OjuHHjBiVkZKyexWLNihAiMTUikYi2ouZCIBDA1NQU1Gr1gk7btxNxcXG0ZcRkMsFiscBisZCfn0+1c1wuF0KhEDqdjupfli9fDi6Xi4SEBGg0GrrtkZW0yPYm8FeNEvEak8lkCAQC8Hq9tG1DiOyNGzegUCjgdDoxNTWF5ORkaDQapKWlRWmdImN4yD4fHx+ncVWfdUTGDc20jSDkiGzX0NAQ0tLSYLVaUVNTg9zcXPj9fvT19SEYDOKuu+5Cbm4u3RdHjhzB8ePHcePGDRgMBgwODuKpp56CSCSCx+Ohfnc9PT1QqVQwGAxYu3Zt1PoRW4pdu3YhLS0Nf/zjH7Fnzx5awTObzbQqeTuruiTGLCMjg0YrmUwmNDY2QiAQ4NSpU0hOTqZkc2BgAO3t7ZBIJJicnKQt+Ly8vAVboG63G+3t7TQdQ6PR0KlNonG02WyQSqWwWq1UqE/+hkqlormrer0e165do98puVyOVatWYWxsDMPDwxCJREhMTASHw0FSUhLNsOVwODShgDyoBQIBtLW10VzLlJQUjI6Oore3F8PDw3SSOSkpCVKpFGazGUePHoXBYIBKpaKxWgMDA9RAdsWKFejp6YmKqerq6kJ/fz8KCgpQXl6+YJuf+A4WFBSgtbUVdXV1KC0tpWkHV69eRU5ODrq6uhAMBqHVapGfn4+hoSFYrVZMTk5GaSSHh4dhNpuRnJwMi8VCTYUjw+5jiCESMUJ2h4PNZiMxMRFyuZxWXcgT7Pj4+JzvSU1NpTmNkWAwGIiLi0NmZiZ6enpgsVhmvTfSDDNymVQqhVAohM1mmzeX0WQyIRwOg8/nL+qgfTtALr5zRZrMzJGLrPgxGAzaTnQ4HPSGTNqIoVAILpeLejoFAgGIRCI4HA6wWCyIRCLq7k8qNoSQ8fl8ZGZm0qdwNpuN1NRUSKXSJd/wIzMF7xTMdQOauYyYlo6OjkKpVNKqDKkExsXFRZ17Fy9exPe+9z288cYb+O53v4sTJ04gGAwiLy+Pek8xGAzk5uaCz+fPWbHxer04duwY6uvrEQ6HUVlZCT6fDw6Hg3vuuQf79+/HpUuX8N3vfhdWqxVvvfUWrl+/jueeew6VlZUoKCjA22+/jYaGBigUCthsNtx33304fvw4PvroI5jNZvznf/4ndu/eHVVFISHe169fh0qlgk6ng0KhgMPhwJUrV2AymeD3+6HX6yEQCJCVlYXExET6EAGABrcvBIfDgZqaGhp3ptfrodPp0NraCiaTiezsbHR3d9MJYL1eDw6HQ6OeXC4XkpKSwGazsWvXrlmfHwqFMDExgaKiItr+P3nyJNLS0jAxMYHW1lZq67Jq1SpKyHw+H2prayGVSmE0GqmNjlwup5YmhGjFxcXRDNz+/n7IZDKUlJTgxo0btII1OTkJg8GA7u5urFixAhqNBsePH0d5eTmmpqbg9/vR0tJCH85IqgIhYTNTAnw+H3w+H3g8HgKBAHw+Hzo7O2G323H27Fns2rULDocDFy9eRFJSEg4fPgw+n4+SkhKab3vjxg14vV6kpqbC6XQiGAzi2LFj+OpXv/q5npiO4dYRI2R3IDweD0ZHRwFMV1COHDmCqqoq6jY/MDCApqYmPPjgg1HvI+0HPp8/r18YCdMNBoPUvJFUxxYCGev3+/3zki3in0UGDz7rCAQC8Hg8EAqFsNvttGXr8/nAYrHgcrkATLcyCfkjlhkzx+YJIp/CiVHoQoHwX0Rotdqo5AfSYpq5j/h8PsRiMcRiMQYHB8Hj8TAwMAC5XI5wOEztSBY6dwUCAR544AHcc889YDKZdLCDwWDg7rvvRk5ODkKhEORyOVQqFb7+9a8jKSkJo6OjGB0dxblz56BUKvHUU08hLy+PZjDee++9NKKM6JBmory8HMFgkDr7czgc7NixA6FQCFwul5IvHo8HoVAY5T+3VBsGoVCITZs2wWAwgMFgUB9A0j7jcDhITU2lulIWi0VbnJFt+PnA4XCg0Wjo8IJarQabzaYWH6QqR+LJIt+3Zs0axMfHg8Ph0PVhs9lYvnw5Jd5EHhCpOZTJZBCLxcjJycGlS5cQFxeHlJQUdHZ2YtmyZUhOToZYLMbatWthNpuh0WjA5/PR39+Py5cvIxwOIzMzEy0tLXC5XNi6dWuUWTTRzBkMBqSlpaGzsxNxcXFgsVhUx7h8+XIMDQ2BwWCgoKAAV69eBYPBoMSWx+PB6/Vi2bJlyMzMpBXetra2v8mEeQx3JmKE7A5EV1cXfvzjHwMAzfBraWmBUqmkrtp+vx8FBQWoqKig7xMIBODxeJiYmIDT6YRYLJ51QXe5XDCbzXSyj0TEkDbkUsgZ+cxgMEh1IuTGOPNGEqml+qyBxWJRY1KxWAyn00kJK7FxIJOQXq+XEjby/3w+n+pcyOsCgQD6+/sxMDBA9S+hUAgrVqz4XBq+3gqWei7s2LEDPB4PZWVl+J//+R8IhUI89thjsz5joc8jJGwuB342mx2lOSORZNu2bUMoFKIPOOFwmLYAR0dH0d/fD51OB7/fj9HRUQgEgjkJ2VytxsWSAJayTZEQiUSzkimIBjFyu24VBoOBDiOQdYqsBJIUhJngcrlRv1tsHQoKClBQUBC13eFwGFu2bJn1WvKa5ORkuoxUTjMyMqjh8/j4OHJycuaMTVMoFHC5XDhx4gT1VGMwGJBIJFCr1VTDKJfLceDAAWRkZEAikeDs2bPw+/1ISEgAg8GA3W6n12Y2mx3lWRhDDDMRI2R3IPR6PZ544olFXxdpWwFMVx5kMhm6u7tRX1+PTZs2RbXJwuEw2tvbqb1FVVUV8vPzkZycjOvXrwMALd/PzOojhqc8Ho9eXC0WCzo7O8HlciESiWjVze1205DepKQkSiQ/ayCmoCT6htwsiRYqsgoWGYJMLtxELEzeD0y3yIaGhmhLOT4+nmpmvigIhUIYHx9HT08PzGYzDWpns9kQiUTQaDRISkqCTqdbsI2bn58PHo8HjUaD3Nxc2i5eCoLBIMxmMwYGBjAxMQG73Q6v10srWiRsXqvVIj4+HjKZjFaQZk5DRp67LpcLzc3NmJqaQnt7Ow3ejtQy3go8Hg/1zJucnKTtNoFAALlcjri4OCQkJMz5kPVpIBAIoK+vj+4/t9tNK98kbDsxMfG2EZCltLwX+j2bzabXQ1LJMhgMtDo9k+h5vV5UVFQgLS2N6viIhrSoqAjANKm85557aIoEg8HAqlWrAADV1dUwGAwQCARgsVjYsmULOBwOdu/eHWtXxjAvYoTsDoRSqYxy4Q8EArBYLOBwOAgGg+Dz+TQ6hcQGKZVKGI1GpKWl4cKFC3j11Vdx48YNFBcXQ6FQwOPx4Pr16zh8+DAmJiYgEonQ3d2Nn/3sZ1Aqleju7gYwfbHq6urC2rVr6RN+MBikLtlqtZreFMlyQkgUCgVUKhWsViucTie8Xi/4fP6S/Jz+Hph5oZ45yABM34C7u7thMBgQCARoy1YikQCYbs1E6lNIdiEx1VWpVLBYLHC5XPQ9nycQch4Oh+FwONDY2IhDhw7h2rVrGBsbo950pJLK4/EgkUigVCqRl5eHyspKrFy5khKiSPz+97/HAw88AL1evyjZCQaDsNls6O3tRW1tLWpqajA4OEiTKjweD23RR7bIpFIpXZfy8nIUFBQs+ABhMBhoVdrn88Hv96OwsDCq8hUIBHDw4EHs37+fLktJScEPf/hDaDSaqHUeGRnBqVOncOzYMfT19cFiscDtdtN15XK5EAgEkMlkUKvVyM/PR3l5OVauXAm3242RkREqcCekKTs7e9bk78WLF/GrX/2KLtNoNPj+97+P9PT0qNdZrVacPXsWx44dQ1tbGx3iIaSFzWbTiqBKpUJGRgY2bNiAjRs3zunOHwqFUF1djd/+9rdRUgeZTIYnnngCd911V9T+8Hg8dBo60gJmpkffTFgsFrz00ktoa2ujywiBeuKJJ2bpTJ1OJ7q7u5GVlYWzZ88iMTERHo8H7733HrZs2YLr169jcnISZWVlUecDaQnn5+dTbZper4/SkMYQw3yIEbLPAex2O5qamuiIt1Qqhcfjgd1uB5fLhVwuh1KphFAoxPbt29HW1oaRkRG8+eab+Mtf/kK1IoRQ8Pl87N27FxaLBYcPH6bu5wqFAlKpFFVVVVi+fDlWrFgBFouF/v5+nDx5kmbxkTZPOBzG6tWrqR6ICHXz8/Opi/6dXsIPhUJwu924du0atFotGAwGnczz+/1ISUmByWSiFTAul0u9nVgsFtW0zDc2f6eD3ISHh4fx6quv4r333sPExMScOhqScepyuTA6Ooq2tjYcO3YM99xzD77xjW8gPT096lwZHh5e9NwhSQGnT5/GqVOnUFNTA7vdvmCeI9EBEQPb3t5eNDY24t1338W6devwzW9+E/n5+XNW7yKNUNesWQMAs8hCKBRCf38/Lly4QJcNDAzg8ccfp4QsGAzi3LlzeOWVV9DQ0BBleREJj8cDj8cDq9WKGzduoK6uDn19fcjNzaWTjL29vSgsLKQDKMuWLZu138xmc9T6KJVKPPzww5SQkei0//3f/8XJkyfhdDrn3H9EDE+CyBsbG3H9+nUUFhbOScgYDAbUajWGhobQ1dVFl3M4HBiNRhQUFFBSHwgEUFtbCz6fT6UZCoUCAoEAJpNp3jimcDiMjo4OHD58OCp+SigUYuPGjbNIEql4k+uVUqmE3W5HYmIiioqKIJVKUVdXB4VCgeHhYfT09ESZTft8PigUCkxNTUEmk8VIWAxLRoyQfQ5ArBrUajUSEhLAZDKp9otMLBHNy6pVq/Ctb30Lb775Jvr7+6PsJ5hMJuLi4rBz507s2rWLTnlVV1dDKBRi27ZtsFgs+PWvf40XXngBWVlZEAqF6OrqQnd3N50yIrEyixldRsYH3akQCoXIzs6G3+8Hm81GOByGTqcDABoTE3nj5nK5SE1NBZPJRGZmJux2O3g83pwao88yiB5wsVarSCRCZ2cnnnvuOVRVVd3UdC3xctu/fz86Ozvx7LPPIi8vj/7NnJwcvPbaa1i9ejW9SSckJEQlIwwMDODf/u3fcOHChXlJzVIQDAYxNTWFI0eOoKWlBf/8z/88q+U/EzejzSKpAKRd9s477+C3v/0tent7b2o9yXkll8sRCoWwevVqlJaWgsPh0H2/lAcgp9MJm81GH9TOnTuHF154Aa2trTclSicPG/MlczAYDKSmpuLuu+9Gb28vXUe/34+zZ8/ikUceoTYRgUAANpuNEnFCdAlZmo+Qeb1enD9/nnYLCAwGAzZu3Dhrf/j9fnR3d2NgYAC9vb3o6uoCk8lEfHw8FAoFNBoN1ZGp1Wq0tLRgfHwcEomEDjM4nU44HA50d3ffkVPRMfx9ECNknwPIZDIUFxfP6bFD2mCRJfXNmzcjIyMDFy5cQE9PD3WHT0xMxMqVK5GXl0dvNHv27MFDDz0EYPpJf3x8HKdOncLVq1cxNjYWNcVWXFyM8vLyWTdp0nohFyxg+kLtdDohEAiWLGT+LIKQ4bkyEiN/JiBP3wBoIPNcr/usw+PxoLu7G3K5fEHi7Xa78cILL+D06dOzbCcipxqJb9hcVZdgMIjLly/j5Zdfxs9//nNKeKempjA8PIy3336bvvbee++NuvnL5XIIhcJFyRjRjZF1Ie29mSAt+1/+8pdISUlBVlZW1O8nJiYwPj6OtLQ0tLS0oLq6GmvXrsWyZcsWJK/Ejy4cDuPo0aP4j//4jzltZxaDVCrFihUr6HRipBzgZs4xr9dLCVlNTQ3+/d//He3t7Te9PuQhcCFyyuFwsHnzZhw9ejRqm9va2tDQ0ICEhAR6fLZt2xZ1XGYOB82FyclJnD59etbxLC0tndNcmc1mo6SkBMXFxWAymVT0HwwGqb1QRUUFjVVbv379nPvWaDTSicsYYlgKYoTsc4BIIkaMSIVCIX3a9vl8VF8GTF+8tFotHn74YaqdYTKZEAgEsy6cM81QtVotnnzySbz11ltoamqiLc7c3Fw88sgj9GY5E0NDQ2hsbIRMJoPD4UBcXBx4PB5SU1PvaEIWiVAoRCuRAKhtAalQAn8NEp/PFuNOQDgchsVioU//8x1zAHj99ddx9epVeu5JpVIUFhZi3bp1yM/Ph0wmA5PJRCAQwOjoKGpra3H8+HF0dXXNqqadP38e77zzDh577DGw2Wx85StfmVWtmenLJRKJsGvXLpw6dYoadopEIuh0OqSlpSE/Px8ZGRkwGAzg8Xh0XUZGRnDlyhWcOHECHR0ds9alvb0db7zxBn70ox9Faf+uXbuGtrY2iMVivPrqq9BqtXj99dfxzDPP0MrxfBgZGUF1dTVefvllSkx4PB70ej2ys7ORnZ2NxMREiEQiBAIBWK1WdHd3o6WlBTdu3IDZbIZer0dubi79zE9yfo2NjaGpqQkvvvgiOjo6AIAONZhMJhQUFCAxMZFOB09OTqKvrw/Nzc3UZ4/H41ER/HwgXnF33XUXPvroI7rc7/fj6NGj2LBhAx2SId8tksIAgFZH5xvoqK2tRU9PT9QykUiE8vLyOduJkX8HAO041NXVweFwYHJyEnFxcejt7YXJZIJKpZqzUiqXyxc95jHEEIkYIfucwev1oru7m14krVYrRkdHodfrYbPZ4Pf7oVAowOFwaMuRgLjME9Lg9/tx8eJFFBQU0JYag8FARkYGfvCDH+Do0aMwGo109H2mVsblcqGurg6ZmZmQSCQoKioCg8GAx+OBRCKBUCic07T1ToTD4YDD4aBTeuFwGHa7nXo/EfExsVL4W2R5flog1U2VSkWP+3yoqamh/5+WloZvfetb2L59e9R5R6qs2dnZ2LBhA+677z785je/weHDh6OIkMvlwpEjR7B9+3YkJCQsSZvDYDBw1113obi4GNeuXcPatWuxdu1aFBcXIzExMWrdI8/d7OxsbNy4Ebt378Yrr7yCgwcPRhkeh0IhHD9+HHv37kV2djZdTl5TW1sLjUaDb33rW3j++efnNUuOxJUrVyiZAaZbao888gj1yZqLXJGWYmdnJ2pqauiU4+1AR0cHdawPh8NQKpW499578dBDDyErK2teU9pAIIDBwUHU1NTAbDYvqWUnl8uxZcsWVFVV0QEBALh69SpaW1uxYsWKqO232+3Yt28fxGIxMjMzqW/cTPh8Ppw6dQp2uz1qeU5ODnJycpZMWEnLsq+vj+rCTCbTLLPiGGL4JIgRss8ZSJXG4XBERfiQthrx0FKr1bMuRoFAAO+99x7uv/9+Ssiqq6thNBqjNE6kwsPlcrFs2bJ59U9utxsXL15EfHw8srKy7oion08Cv99PY2LIcSBB48Q0l1gr3Mkg5rakhbOUm1p6ejp+9rOfYeXKleBwOHA6nVT8PD4+DplMRu0A0tPT8cMf/hDj4+Oorq6O2l8tLS3o6OhY8CZPJl1J5UShUOCpp54Cg8FASkoK+Hw+pqamqL9eKBSa5QEX6WX14x//GDabDR9++GHUayYmJlBXVxdFyIxGI44cOYJLly7hG9/4BkKhEKRS6ZL0ZAcOHIDL5QKDwUB+fj6eeeYZlJSUgMlkYmxsDKFQCAqFAlarlcYDkbgppVKJyspKCIVCjI2NQSKR0PNNqVRiamqKttctFgvEYvGik6knTpyg05xJSUl45plnaLUKmB4EsNvtdPKRy+WCxWLBYrGAx+PRrFez2RyVJDIX2Gw2DXdvbm6my81mM06cOIHCwsIoAigSifDQQw+BzWaDz+fPqWsLh8Po7e1FfX191O95PB5KS0uhVqtnvR6Y32IjISGBnneRUo07scodw2cTMUL2OYNYLI7KqARmXzDmupBYLBa8//77OHPmDGw2G+Li4rB+/Xr4/X7U1NTg9OnTMJlMKCoqgsvlolOVpMLQ2dmJoaEhGte0atWqqAqG1WrF5cuXqYUBWYeZ5OROvbjNZy76eQQh6ydPnsS2bdsWnRAVCoV48skn6dRhKBRCS0sLBgcHUVlZiQMHDmDHjh1Uz8NgMJCUlIRHH30U165di6pu+Hw+NDQ0YO3atWAymejs7ERfXx9WrFiBlpYWGmrd2tpKo3r4fD6EQiEGBgbAYrGgVqtRXV2NTZs2oaOjA5OTk0hJSYFWq8XQ0BBSU1MpgWIwGNShv7q6OmpdAoEA9ecj0Ol02L17N+RyOUwmEzweDx555JElDW1MTU0BmCZ1P/3pT2lFeXBwEKdOnYJAIIBSqURbWxvWrFkDkUiEpqYmaLVaHDp0CEajEWw2G06nE1arFX6/H2KxGF6vlxLP7OxstLe3o6KiYlFCRlq8arUaTz31FLZv3x5Fqnp6elBfX08rWoQYeTweyOVy8Pl8+v0mgywLITk5mQaUEyLo9/tx5swZPPzww1EZkBwOZ95BAYJgMIiGhgZacSTQaDSoqKiA3W6n1jPAdIs2Li6OGjaT6XPSLp1LDxpDDLcTMUL2OQO5cJApuJkGrpGvi4RIJEJubi6am5uxbt06Gv8zOTkJh8OBjIwMnDx5Emq1GklJScjIyMDbb7+N8vJyiEQi9PX14ciRI9i1axeGhoZw9OhR7NixAwwGA1arFR9//DE1SgSmA7ItFgu4XC5tkXI4nFlmtncKPssX51AoRCcib8d6hsNhhEIh6HS6JVX71qxZg3Xr1tGfR0ZGcOTIEbS3t+PSpUuQy+Vztq4LCwthNBrR0NAQtbyrq4tWPDweDwYHB2E2myGRSHD33XfTeBsmk4n29nYolUr09/eDy+WitrYWGzdupISLVNHcbjeOHz8OqVQ6J8FMS0tDbm4uqqur6bJgMIihoaGo79jo6CgOHz6MUCiE+Ph4xMfHIyEhIco1fiFwuVx87WtfQ2FhYZQulMlk0ggvjUaDnJwcDA8Pw+FwwOl0Ij09Hb29veByucjIyEBPTw/UajXy8vKwf/9+6HQ6JCQk0Cnfme7984HJZOLBBx9ERUXFLEKVm5uLlJQUai0CgBrqkjgoEt5OLDfIeTjXuchkMlFZWYlDhw7RzwP+Ku4n4vpAIBDl60c0XzPXz+Vy4dSpU7P0f8XFxVRwH2n1EQwGkZ6ejvHxcUxNTYHL5cJoNGL58uVL2lcxxPBJESNkn1M4HA4wGH8NySUXRxaLBTabDYlEElXB4vF4MBgMkEgk9GnW5XJBJpOhtLQUJpMJ9fX1GBsbg8lkgsFgmKXhyczMRHFxMfU4c7vdCIVCOHz4MIxGIzZs2EDbUkTkH1k5kEgkdywh+yzDarXCbrcjLi6OEpBPgnA4TB3o57MaIBCLxdi6dWvUtJ/BYMA3v/lN2O126i021zpJpVJkZWXNImQjIyPU/+3ixYvw+XyQSCSwWq3o6emBXC6H2+2Gw+HA0NAQNS0Oh8M097KrqwtpaWno6uqC2WyGyWRCe3s7duzYMac2SiaTISMjI4qQAdNVJOLUDkxXt5588kk0Nzfj3LlzqKmpgVwuR2Zm5pIcX/7nPQAAIABJREFU2nNzc1FZWTlL20a20WQy0WnUUCiE5ORkhEIhKJVKSCQS6HQ63LhxAxs2bKCmy7t374bD4YBAIIBKpZozZH0+JCQkYNu2bQgGg7BarXQIA5ieErZYLLDZbGCxWOjr68PExARkMhk2b95MW9NXr17F5OQkFAoFvF4vVCoVCgoK5vx7WVlZuPvuu3Hw4EG6zO/34/Dhw6ioqEAgEEB1dTVtdWu1WvT392Pt2rVR+afANHG/cuVK1DI+n4/Kyko6GBHpyUauiyKRCAKBANevX6eTlDOd/Jdi+RJDDDeLGCH7nIJUEPx+P73hMZlMhEIheL3eJbfXOBwOrZZFTgvOBRLbElmhIzcC4jBOXMOzsrJgNBrphW2+Sl4MnxwcDoeS49sBBoMBjUaD9vb2RcXqarWatt4iIRaLwWKxMDg4CIfDAZPJNIsIcTicWTdZAHR4QiKR4P7774ff74dAIIDL5aKaorvvvhsKhQJxcXE0rJto+rhcLpKTkyGVSqHT6agDfGZmJvR6/ZznITFYjtQOAdNVlWAwSNe9vr4ev/nNb5CYmIj8/Hzcd999iI+PX1LLksViYd26dbO2WSKRoLS0NKqVCiBK0xS5TpE6J2Da0PlW9E4MBgN5eXkwGo2oq6vD6Ogotm/fHjXNGAwGIZPJMDg4SLVkCoWCkhW/3w+n0wkWi4WxsTGwWCyIxeJ5v+8SiQQVFRU4fvw4XC4XXd7Y2IiWlhYkJiZiaGgIbrcbPp8PbrcbYrF4lrVEKBTC2bNnZ3mPmUwmauujVCppNFrkNhNotdo5K3ljY2OYmpqaN6czhhhuFTFC9jkFuQEQsfJSLsjEKqOnpwdKpZJGlMyEz+eDw+GA3++Hw+GImsCcCYlEgu3bt6OhoQHHjh3D/fffDw6HAz6fH3Ow/hsh0mLjdpBeUrHhcDjzTtoRGAyGOcObu7u70d7ejuHhYVitVjz++OOzNEHk5j0TpPXFYrGg0WjQ0NAAh8OBsbExiEQiuFwuOBwOsNlsmEwmhEIhJCYmRvmlkXOWfP7g4CCKi4ujwsRnbjOfz6cWCJGIvKGnpaXhS1/6EvUj6+vrA5/Px1e/+tVFo7GkUil12CfkORAI0IpNX18fnZLm8/ng8XiUDBJiyOfz55x6vZXjzuPxkJ+fD7FYDD6fTyewI0HMnePj4+dsX5PpyaUSQhaLhZUrVyIzMxN1dXV0+djYGI4fP47vfve72Llz57zHiWBiYgLnz5+PMr7mcDgoLS2dNRASuU6jo6Nob29HaWkpGhoakJKSgtraWrS3t9P25b59+9DZ2YmdO3eioqIi9iAZw21DjJB9TnErAlSxWIzS0lJ88MEHSE1NRXl5OYxGIyVOJCy4ra0NFy9epCaWpaWldIqKyWSCz+cjLS0NQqEQKSkpkMvl2Lp1Kz744AMMDQ0hISEBQ0NDAECd7GdOucVwe0E0PbcTNptt0fZXYmLinBOGTCYTLS0tSE9Pj/LIi8RMP6hIRG4Lh8OBQqGA0+nE5OQkOBwOxGIxhEIhjbBZrJI3l0HorYDkR9psNoyNjcHtdsNoNC7p+yeVSiEWi3HgwAFwOByw2Wz4/X7IZDKEQiEMDg4iOTkZ7e3tSEtLw40bN2C326HVamG1WmG1WrFt27Yo4vlJJgF5PB5tKQuFQlpJJHo/r9eLlpYWmM1myGQy5ObmgsFgoLW1FWazGSqVCtnZ2RgfH6cxYsSiQ6vVzkuqtFot1qxZg+vXr9OBAb/fj3PnzuHRRx9FQkLCgttDopIipzWB6Urhhg0bFrRpkUqlaGxsREZGBurq6qDX63H06FHcddddqKqqQnZ2NtLS0sBisWLashhuO2KE7AsKokEhujJiYrp+/XqsXbsWLBYLoVAIu3btAovFgt/vx+bNm6nXWF5e3ryfrdVqsWfPHgDAAw88QJfv3r0bwLSm6ciRI4iLi0Nubi6sViuKi4s/3Q3+AsPhcFAX+ts5qp+YmLioLmo+F38yUZeVlUV1R7eK7OxshMNhLFu2bNbvZrYYgelz3+/30xxIs9mM0dFRWK1WTE1Nwe12U0PlyH+bmpoWbfuSVpzH44Fer0dRURGKioqW5LfH4/EwMTEBr9cLLpcLm82G9evX46233kJ+fj7S09NpxWxiYgJutxvLly/H2bNn4fP5oFKpZpmjvv7669i9ezdt6XV0dKC/vx8bN25cdH3YbDbV/vH5fMhkMpjNZjqdWV1djQMHDiAnJwdsNhtGoxEAcPnyZQSDQbz77ru49957weFw8NFHH+Ff/uVf4PF48Morr+Af//Ef5yVkTCYTW7ZswbvvvouBgQG6vLm5GVeuXEF8fPyC56/X68WZM2cwOTkZtbywsBA5OTkLbrNAIEBRURH+/Oc/o6SkBDweD263G8FgEKtWraJh88PDw/N2EGKI4VYRI2RfUITDYarF0Ov16OzshMFgoLovQsKA6VYmmTpKSkpatE21GCQSCfbs2QMul0uHCWL49CCVShEKhSgJEQqFN5WzOBccDgd8Pt+iwub5tIoejwcWiwVVVVV0mu2TYKEbY2ScldlsRkdHB+rr69HU1IT29nbY7Xb4fD4EAgHaLiSTqTP/XQwcDgednZ00XP7NN99ER0cH9u7du2iLns1mo7CwEJcuXYJarYZOp6PJBkwmE2azGQaDAUNDQxCLxdDpdJDJZFCpVBgYGKDmxFKplGo4L126hF27dtHvbFdXF5qbm5dEyEi0FUn8cDqdNPwcmB5o8Pv9yMvLw7JlyyCXyxEMBlFUVISxsTF0dHTg+vXr2Lt3L9555x0MDg5iZGQEKpVq0eOdnJyMNWvW4K233qLLAoEAjh07hi1btiy4L61WK86dOxe1jMPhYOPGjUvSzhoMBkxOTiItLQ06nQ7btm1DV1cXuFwuBAIBEhMTcenSJZw/fx5btmxZ9PNiiGGpiBGyLzCIEJrBYEAgEEAul6O/vx9arRYdHR1QKBQQiUTo6emBVCql4vtwOAyXy0VbGOFwGCqVitpkkKEBiURCp9DcbjeYTCaUSiVtMRF8UnIQw8IgVRObzQaXywUul/uJ9zmfz4dCoYBMJluQDM1XQeNyudDr9fD5fKiursbq1asX1VjNRGSFN1JYPxPBYBCjo6M4fvw4PvjgA7S0tMBqtd7U31oqrl27BplMhu985zsQCAQYGRnB888/j23bti1KyJhMJuLi4nD//fcD+CuRvOeeexasbJaUlIDNZtPBHWBaQ/W73/0OZ8+exdNPP033jdPpxJe//OUlbQuxoiEVRZJlS5IA1q1bh0AggIMHD+LDDz/E9773PTQ2NuLDDz/EqlWrEA6H4fP5oNVqkZWVhZqaGoyOjmLt2rVznn+RhFcikaCyshIffvhhVKXr6tWraGpqwl133TVvcsGFCxdmhbIbjUaUlJQs+jBJzpMVK1ZAq9WCzWZj8+bNUa9JSkrCD37wg8V3YAwx3CRid8IvOMgFXCqV0rH28fFxaDQaCAQC8Hg8xMfHw+fzQSgU0vbme++9h/b2dtoS+va3v42BgQHs27ePtk8ee+wxnDhxApcvX6bu6A888AA2btwYGxm/jQiFQpiYmIDdbodarYZUKqWarMg4KxaLhcnJySVN/C0GJpOJK1euQKFQLOiavxBZYzKZNFLqVvRtNpsNAwMDiI+Px/DwMLKzs2f9vWAwiCtXruCVV15BbW0tNV9dDGw2mw4tkP9IAPhC4PF4cDgcGB8fh1KpxODg4JweWQuBwWBgamoKTqcTOp1u0WEMvV5PA66JDYlMJsPDDz+Mrq4uPPjgg7S9ptVqFzXynWt9lEol0tPTo1qiPp8PZWVlyMzMxHPPPYf+/n7U19cjISEBlZWVuHz5MoDp47x+/Xq89NJLSEpKmhXIThAKhTA6OgoWiwWdTofly5cjIyMDly5doq8ZHx/HqVOnUFBQMCe58ng8OH/+fJSBL4vFQmFh4ZK84JRKJXbt2gWRSPSJOwExxHCziBGyLyiYTCZUKhXViJALbTAYhM1mA5fLhc/noxUIqVRKBfiEADidTjz99NMQCATg8/l48cUXsXLlSpSXl+N3v/sdjh07BofDAbfbjZ/85CeoqanBe++9hxUrVtBKDXnyJu0v4plGol1i1bOFQXyZiIv8zp07UVxcjOvXr8NsNqOsrIzeWIhL/VL8sBYDi8Wi58itkCm3243m5mba8roVDZnP50NTUxMGBwfB4XCiIoyA6X1z4sQJ/OIXv0BbW9us93O5XMhkMsTFxSEzM5MGpZOswkgyxmazsW/fvqgW2lzIz8/H1atX8dOf/pRmlz700EM3vX1ETrBQcDsBk8mcVV3kcDhISUnB008/jZSUFHg8HtqCvJWHofHxcfT29kbp9Orq6nDs2DHq55WUlISysjL83//9H37+85+DxWLRSnhqaioEAgF0Ot2cVibAdKuxqqoKer0eOp0OarUamzZtQkNDAx3K8Pv9OHHiBPbs2YPExMRZ/mC9vb24dOlSlNZPKpVi3bp11Isx0jeOnLtkn5B9SV4b2e72+Xw0gD6GGD4NxO52X2DM99Q9NjYGq9WKlpYW8Pl82Gw26PV65OTkRGk/srOzoVarwWKxMDU1BbPZjNzcXMjlcqSnp+P69et0+kqhUMBgMNAptFOnTkEul8NqtSI/Px91dXV0KjMQCCAYDKKsrOwLE0d0qxgdHcWFCxdQUFCA5uZm+Hw+Op3Y0tKCVatW0ZtPIBCA1WqFRCKhLa5bBWlDWyyWJbvQR8Ln88HlcoHD4SxpWnMuqNVqlJaWYnR0dNbkHZm0+9WvfoX29vZZ701LS8PGjRuxadMmpKam0qEHNpsdVVWMxMmTJxddJ6lUim984xsYHx+Hw+GAWq2+pZu4xWKhHoKfBEqlEn/605/Q3t4OJpOJ0tJSbN269aYtZ7xeL/X+It6BRUVFSEhIAIfDgUQigUQiQU5ODp599lmEw2EIhULqXWi32yGRSGa1DaemphAMBqkhK5vNxtTUFB2OWLduHV5//fWoFmR7ezsaGxtn2amEQiE0NDSgr68varnJZAKTyURNTQ30ej1sNhutEgcCAUxNTaGwsBChUAitra1UMxsOhyGXy6nG0Ov1oqSkZFEz5BhiuFXECFkMUWAwGDAajWCxWNBqtTSPjthZRIK0m4BpTZFYLMbQ0BBSUlIwNjZGjTRnVrk4HA7y8vIQFxcHNpsNtVoNo9EIJpMJgUAAr9eLYDA4y+zxi4CbnYKcmJiAUCjEmjVrMDg4SN8rEong8/miKgUMBoN6eH1SKJVKlJeX3/KkmcPhoA755MZ9s+jr60NHRwcsFgusVmvUcIjH48Fbb701K2uSxWKhtLQUTz/9NPLy8pbcllrqPiP7PrK19+qrr+KBBx5Y1DsrEhaLJSr6jOi4iBEqIXiEKAWDQSgUilmWDm+++SbC4TB27dqFQCCA48ePg8vlYtu2bUteFyaTifz8fGg0Ghw9epSeUzKZDGKxGBqNBs3NzTQmafXq1dBqtZSMXbhwAX/5y1+Qn58flbPb29uL/fv3Qy6XQ6/Xo6SkBACoRg2Y1mtVVFTgD3/4Az0GgUAAhw4dQmVlZVS11+Vy4fjx41HnPIvFQmVlJdLS0tDe3g6HwwE+n4/u7m4IhULo9Xoa3O5wOFBTU4OCggL09fVRS5GpqSmwWKzbknIRQwwLIUbIYqAgFzytVotwOIxAIAA2m03H8BdqHxLx66FDh3DlyhX09vbi8ccfnzXtBEz7ASUlJUVVaWaO639R4fP5YLfbaQA7uSHP1FlxOBwwmUzaQo68CYVCIUxOTs7SLhEX+9thEMvj8W5aixQJMs3I5XKjiP3NQCgU0pbjzLzCwcFBVFVVzXqPyWTCU089RScXl4pgMLigl9nw8DBOnz495+9Onz6NHTt2LPlvAdPbZrPZ6M9WqxUHDhxAc3Mznn76afj9fpprWVVVBR6Phy1btsyy17hx4wa+//3v02PlcrnQ0tJyU4SMwWBAKpXSaiYZ6iG2GJGmuVKpNOo6wWAwUFRUhKysrFm6rOHhYWi1WjgcDvT391Nfr8j9LBQKsW7dOhw8eDDKdf/atWtoa2uLst/p7Oyc5T1mMBiwatUqpKen02QQQhSZTCbYbDZyc3NpksOmTZuQkJCA/Px8+Hw+mM1mxMXF0eGGmJl1DJ8mYoQshigMDQ1RiwSBQEBH3vl8Po2VYbFY2LlzJzgcDnw+HyYmJqBWq1FZWYnk5GRMTEzg/vvvp6awwPRTdlpaGr72ta/B7Xajq6sLMpkMIpGITod5PB5KIoRCYdST8hcFTqcT1dXV0Gg06O/vpy1bYsmgUqkgFAqRm5sLoVAIg8EADoeDo0ePYnx8HCKRCB999BFqa2uxatWqqCojabsAf/XL+luAaHEiI7XIlKbdbkcwGITf76c3yaVCIpHAbrejq6sLRUVFUdvU0NAAs9kc9XoGg4EdO3ZAKBSiqamJ3lxJEHkgEIDNZkNGRsashw+fzzfL1yoSzc3NOHr0KAoLC2f9zu12L3mbIreN5NECwKFDh2A2m+nwhtvtxvvvv48nnngCDAYD2dnZc2oD09LS8MYbb2D16tXwer04ffo0Nm3adNPrA0xPZRO/wJkPCMuWLZuzuksmuOfyYdPpdPj444/R3t6OsrIyeL1eTE1NRT2cMRgMFBcXIzc3F2fOnKF/Y2RkBB9//DGysrKosfDp06cxNjZG38tkMlFYWIisrCyw2Wx6TF0uF9xuN5RKJa3gkxYrCV3n8XgQiURR0+AxxPBpI0bIYoiCSCSCx+MBm82GQCBAIBAAl8uNcnpnMpk0MmV0dBSvvvoqHn30UZoTF4lInYdAIEBHRwe6u7vhdrtpe5K4mZvNZnpxLC4u/kISMoFAgIyMDDgcjqgJROJ4LxQKoyoIJAWhqqoKDocD9fX1kMvlyM/Px8qVK6NaWITs3K5My6XA7Xbj6tWrlNybzWao1Wq43W5UVlZSDVFLSwtSU1PpVOFSYLPZYLfbYTQa0draisTERHozJ6L4SJBw7rq6OjoFqdVqMTw8jPj4eHA4HIRCoVmZkcC01mmmNikScXFxeOyxx7Bq1apZvwuHwzc9nFJQUBD1Xerr60NFRQUlhUwmE263G4FAgJ4rcznQf+lLX8KBAweo+//GjRuxbt26m1qXSJBj097ejvHxcfT390dlcI6OjqKqqgqBQABlZWUYHR2FTqeD1+vFjRs3sHbtWtTX12PZsmVITk7G1772NZjNZiQnJyMQCEAqlUIikUSdAyKRCJs2bUJ1dTX1RgwEAjh37hz27NmDuLg4WCwWXL58mTr7A9PfpY0bN86SPtTV1aG2thbf+9736LKOjg7IZDLaao0hhr8HYoQsBgoy3k4wX+huJHQ6HSVdw8PD+OCDD8BkMlFWVoYzZ86Ax+PRi21LSws6Ojrw8MMPQ6vVgsfjwePxIBQKQSwW00mwhoaGL2zguEAgoNWGnJwcSshIhWFmZYLBYCAlJQV6vR6Tk5MIBAIQCASQyWSzSACbzYZcLv+bTq4Sh3uiNZNIJPD5fJDL5fD5fBgaGqLVWL1ej1AotGC0TST4fD7sdjttz3Z1dSE/Px/AdKVx5qCASCSCRqNBUVERQqEQhEIhAoEAXC4XzXEFMKeubGBgYFY7LBJZWVnzEq89e/bc9JTlzHUoKiqiHmrvv/8+hoeHUVpaCg6Hg4KCAohEojm/L1qtFk888QS8Xi+YTCZcLhd6e3uRnp5+U+szE5cuXcKbb76JRx55BO3t7ejo6MDXv/51/Pd//zcSEhLAYrHw0ksvIT4+HqmpqRgbG0NTUxOMRiPefvtt/Ou//is6Ozths9nQ3d2N8+fPY8eOHXQIInJbGAwG1q5di7S0NLS2ttJ1aGxsREdHB3Q6Hfr6+tDY2Bi1jiaTCSUlJVGTkpOTk2AymVi5ciX9LvX39+O1115DVlYWioqKYDQaIRQKMT4+jomJCXosSBQWIe5cLhfFxcUxe4wYbhtihCyGeXGzZOjatWuIj49HXFwcTp8+jYGBATz22GPg8Xh4++23sXr1auokTuJPZrY5wuEwNBrNbQvC/izC7/ejrq4OExMTKCkpodYjkWhoaKDDFUTHFw6HqXYssrVHND3kNVNTU5iamgKbzYZer6cEh8fjLcnX6nZCJpNh69atYLPZkEqlUTdZALQKRFrhN7teXq8XcXFxSEhIiLK9mOuzSGVwZoh55PrMhVAohMOHD0dpumZiIRJ57do1yOXyT3TjrqioAJ/PRygUgs1mQ0VFBdavX4+RkRFMTU0tmlRA2rOtra04ffr0JyZkwLTFx65du9DR0YFf//rX6OjowMcff0zXlWRBDg0NwefzwWAw4Nq1a+Dz+ZBKpWhubkZrayuNpyJkdi6vN71ejw0bNqC9vZ0eR7fbjfPnz6O0tBR1dXVRx4fBYGD9+vVRyQLhcBg3btzAH//4RyiVSmpeW1NTg4sXL2J4eBjd3d34+te/DrfbjZdffhnANDnevHkzBAIB/H4/jai6lcngGGJYCDFCFsMtIxwOw+l0wmq1wmw2g8PhwGw2g8fjQSwWg8fjQS6XIxQKgc1m05y+SEJA/g0EAujt7YVGowGTycTAwMCCAcR3MkhiwYULF5CcnDwnITt37hzMZjPsdjsCgQD4fD50Oh2YTCaWL19OCZnH48GHH36IpqamWZ+hVCrx1a9+lY7p/z1ILoPBoF5axNPudq0DaV+NjY3NmjAkfmuRYv/JyUkMDQ3RqeGlIBAI4OOPP8bhw4cXfJ3D4ZjlDk9AwqlvNokAmK5Etba2gsFgIBgMwmQyAZj2Baurq4PRaITNZgOTyYzarz/96U8xNDQ0azvNZvOcOrdbAXGyZ7PZCIVC8Hg8EIlEKCoqglgsxtq1ayESifDaa68hMzMTer0eFy9epIHlWq0Wp06dQmVlJTo6OgBMH9O5jg2fz0dFRQXeffddjIyMAACNhrLZbDh//vysdVuzZk2UCJ98d+677z46bMRkMrF9+3ZcvXoVlZWV1GC3tbUVo6OjeOKJJ5CQkAC5XB7V+ryd36NwOIyJiQlUV1cjNzcXarUafr8fIpEILS0tUKlUYDKZmJqaQkpKypJyUWO4MxEjZDHcMogmSKFQYGJiAoWFhXC5XLDb7aioqMC1a9foBfvuu+9GS0sLzbybCb/fj9raWmi1Wmg0GgwODsJisaC0tPTvsGWLw+FwUOF4XFwc7rrrLrjdbly5cgUulwt5eXmIj49Hc3MzlEolDAYDBgYG4HQ6YTKZYDAYovZDOBzG6Ogo6uvrIZVK4fP54Ha7MTU1BYPBgPj4ePB4PIyPj0cRj4GBAdTX16OsrAzJyclRNzMOh/OZsQ6ZmJhAf38/li1bRq1UPB4PgGmiFgwGweVywWKxluxsr1arsXnzZoyNjUXZKQDTRqQikQgul4su83q9OHnyJNatW7cksXYoFMLp06fxwgsvUBIwHy5fvoznn39+ljcWMD3peKtWIzabDYODg7hx4wZ6enpQXFwMFouFhoYGlJeXU+2lzWaDWq2m75uYmMDevXtn+fi1tbVRe5RPipmkRK1WQ61WUw2j2WyGTqej1izx8fF49913UVlZCWD6GD322GMIh8PIy8ujyQuRVa3Iv1VQUIDc3NyoYzE8PIzz58+js7Mz6rVZWVnIzc29ZeJkMpmwadMm/P73v6f6wE8zc3diYgJDQ0NISkpCfX09HA4HSkpKEAwG4XK5YDab0d/fD5VKFSNkn2PECFkMi8LhcNCx/8gQZrFYDLFYTMv5SqUS8fHxmJycxMTEBPh8PkZGRhAOh2G325GVlQWpVEpvEsRpPRwOIzc3FzqdjpI8mUx221sCxG2by+XSC7Xf76cVKGCaHMxsCc6Ex+PBkSNHwGQykZGRQasXH330EVgsFjQaDT788EPcc889qKurQ1ZWFgwGA/r6+jAyMjJnsLLdbsfhw4eRlJREg7czMjKg0Wggl8vpFCpp9RK4XC6o1WoUFxffUgXmb4FQKEQd9Y1GIz0vDh48CJFIhPz8fPT19cHn81Fz0fj4+AU/0+l0wul0gsPhwGQyYXLy/9l77/A4yzP7/zO9SaORRr33Lsu2bMk2GNsYY2PsgDHG1IQkcCWBDZBsdrMhfZPdJEuAcGV3Sb6BNBLCwiaOQzNgMC7BNparJEuW1Xsflen194d+zxONJbkC2c3OuS5ftmekecu8M8957/vc54wTCoWkqL+srIzs7GyGh4fDfu/tt98mLS2Ne++9l4SEhFmtRkEUu7u7ef311/nd734nCYxer5/l7SZgNBq5//77Wbt27aznnnrqqct2d1+3bh3r1q3j8ccfZ+vWraxduxaFQsGRI0fYvXs3er2e8vJyGQIuro3Pfe5z5Ofnz2qTJiUlhemwLheiaiOmKLOzs8nMzOT+++9n586dvPDCC1RUVPCJT3yC8vJy4uLiSE9PJzk5WQ4EtbW18fzzz8vhipUrV0rT2rmIlE6nY9OmTezfv18OtkxMTPDyyy+HTcDqdDquu+66izaVVigUaLVambsr4uFuuOEGrrrqKpk68slPflL+jrCWOdfm43wQA0zn5r8qFAqsViv5+flYLBYcDgfx8fGo1WomJydRqVRYrVYCgUDEKPtvHBFCFsEFMTg4yMjIiNSihEIhhoeHmZycJDMzk56eHrKzs6WQ/OjRo9TW1mIymYiKiiIvL4+xsTHGxsZwOp2sWrVKZv7t2LFDjqenpKTgcDhQKBQ4nc7LnrIMhUKSCIpYJofDgdVqpb6+nqKiIgwGA/39/bJdkJiYSEpKCr29vSQnJzM1NYXT6ZR3+F6vV8a/iNbXXXfdJe/mbTYb3d3dfOITnyAmJobe3t45HeLnw8TEBHa7nZqaGoxGI8eOHcNoNIa1bOfyQBK5lRMTE7O83M5tC/+1oFQqyc/Plx5WMD3xeM0110iiYjAYSE5OliH0F0Lfs/ThAAAgAElEQVRLSwttbW3YbDaioqIYHR1l69at5ObmAtPTpzfffDPHjx8Pa1tOTU3x//7f/+P48eNcffXV5OfnExMTQzAYxOFw0Nvby5kzZ3jvvffo7OyU+5uQkMD27dv5/e9/T39//6z9WbRoEZWVlfLzMRPbt2+/4vxQlUrFoUOHSExMRKlUsn//fllZPHPmDAkJCWGRRCIvMhgMMjIyQmdnJ2q1moKCAq677ror2heADRs2yH/n5OTw9a9/XYrvV65cGaYN/dKXvgRMfy6ffPJJ+XtDQ0Pk5eVJyYO4mTkfampqKCoqkgJ+h8PBvn37wiZq09LSuPrqq+X/xb643W7eeOMNXnnlFTo7O/npT3/KDTfcQFpaGtXV1ezcuZOTJ09y7733Mjk5yX//93/j8/kYHx8Pi4yCv1Rb165de9Gyiv7+fhoaGrj++utnEWVhuZGcnMyiRYvweDwYjUZ0Op3M9rTb7djt9khSwN8wIoQsggsiIyNDmsWK6cfMzEwpMi8oKJBfHDA9ESYmBIGwtlkwGJSVnEAggNfrlXfEYmGEaUPHubRVFwMRm+NyuWSrZGhoSO5PVFQUPT09GAwGlEolDodDVqVElMrAwAAWi0U6vYvJKnEMwjtNvObMMG+Ynmj0+/1h3lvCa2u+fRavKdp2FwOx0P/iF7+gpKQkzMXdaDRSXV39gWRXXglCodAsnVNUVJQU4Xs8HjIzMzEYDLhcrotyRC8qKqKsrIxgMCgJ18yFUTi079u3j927d4dVW30+H++99x5HjhwhKipKWrqIiUvRShWIjY3loYceYsuWLRw9enROQibOsd/vp6uri6GhIblNcZ1dCW677TZeeOEFnnrqKUKhEEVFRdx9990Eg0E8Hg+Tk5OzJhMBdu3axQsvvIBOp8Pv92Mymfj85z9PYWHhFe2PkCaIadaRkRHMZjMxMTFymjMQCKDX66UubGxsjAULFsgbi/T0dPbt20dTUxPXXnvtRRGNxMRE1q1bx+nTp6W5sMPhkM+LuKWZgxtut5vh4WGsVisjIyNs3ryZrKwsOaXr8/lYs2YNBQUFeL1e4uLiiIuLY/v27bjdbsxmM+np6VIzK6px4rMsHguFQsTGxmI0GmU0WDAYlFXsmXA4HNILTfguisp5WVmZPJaZbdKIJ9rfPiKELIILQviQXSwu9ovD7/dL01mv18vx48dJTU1FqVSi0+muyJ5BTES53W5aW1vD4p9sNhvwl9ghsYg4HA5GR0fx+XxoNBosFgtjY2P09fWRlJQk9yc6Ohq9Xk9jYyMVFRXySzsmJoaGhgbS09MZGBhgzZo1OJ1O+vr6GBgYoKmpCavVKsmZMET1+XxyMRKVjPNN9M2EWAiio6Pp6ekJey42NpaqqqrLPocfJASRn4mZsVsCF5vYIKK65oNCoSA5OZkvf/nLKJVK3nrrrVlu/j6fT14L871GdnY2Dz/8MJs2bUKtVrNw4UIOHjw47++0tLTwwx/+kMHBQWC6LZ+ZmckPf/jDKyLGycnJPPDAA/h8Pnktq9VqbDYbgUBAGuyeS/xee+01Pve5z1FdXU0wGOTXv/41r7/++hUTsv7+fvbv3y+TIkRrraKiQpIQgNbWVpl1qVKpKC8vl6+RmprKrbfeSl9fH8nJyeh0OgYHBxkdHSU1NXVWaw+mv4vWrVvHiy++SHd396z9slgsrF69Wl5Hbreb119/nYMHD3LzzTcTDAbp7OxEqVSybNkyDh48SHZ2tgy7F/IMlUrF8ePHcbvd3HrrrajVapxOJ3v37pU3ZHa7nWAwyMDAAO3t7Xg8HlQqlZx+3b9/P5mZmXi93jBPOZfLxaFDh4iNjZXxcnPh3KSOv3alO4IPHxFCFsElQ9wRX6nGa2BgQGoqYLoKZbVaUavVVyRGVygUlJeXy2w9cSc7M20gKSkJl8slheRCB5aWliYDpjUaDVNTU2i1WimuFQ7e119/PYcOHZKGpGvXruXaa69l//79NDQ0UFlZSU5ODtHR0ezdu5e33noLs9lMfHw8g4ODHDhwgKGhIQ4cOMDAwADLli1j2bJl7N69m4yMDDlNdyFkZmby6U9/es7n5sof/WtBpVIRFRX1kS8qeXl5fOMb3yAnJ4c33niDzs7OWcTsXIgJwCVLlvCpT32KhQsXyiqamHCdr9LZ1dVFRUUFGzZsIBgMsnjxYn7zm99ccJsXwvHjx/nVr35Fc3MzUVFRTExMsHHjRm6//XbcbneYIepMpKamMjU1xeDgIIFAAL/fL4dDTCbTZbe/MjIyuPHGG9HpdLJ1KoZIZlaDq6qqpGYzGAyGXY+NjY3893//N7GxsZjNZilZ6OvrC2u/novCwkIWL148JyErLCyksrJSXmcajYaEhASys7PJzs7m9OnT5OTkyBstmCaXJpOJ5uZm+RmOiorCbrfjcrlklXtsbAyXy8W6detkbqZSqZTTpg6Hg9raWmk/o1AoWLhwISaTCaVSSVdXFx6Ph/fee4/Y2FgqKysJhUL09/dLba4gg+Iac7lcFBYW/o8Zzongw0WEkEVwybDb7Tz99NOMjY1d0ev4/X7GxsZITk5GpVJhNptpaWmRbdDLnSYSQuO5MPOLbS6ycu4ClZmZycDAABqNRrYHlUolubm5Uq8082fvuuuusMfS0tK48847gWktXk9PDyMjIyxZsoTy8nJiYmJkJS8pKYmrr74aq9UqF7YLmeMK4tje3s7Q0BAFBQWkpKTgcrkIhUJhVZMPU1Mm2nrnVvZqamrkYtbU1DQryeF8UCqVXHXVVfzzP//zrG1d7AKlVCpJT0/nH/7hH9iyZQv79++nvr6e5uZmxsfHZbtLDKVkZWVRXFxMaWkp5eXlREdHMzAwII2Mly5dyne/+11JsJKSksL0QEajEbVaTWJiIu+++y4Wi0WSIQGVSsWaNWtmaSStVuu8reo33niDFStWEB0dzcaNG2ltbZV2MnFxcTIb9ly4XC6+9a1vkZ2djc/no729nfz8fN5//322bdvGDTfcgEKhoKKiYtZ5NhqN88oGdDqdJE2iancpFUCPx8PY2BhLlixhzZo1sioeFRWF0+mUliZzQaPRsHnzZl599dUwoqvValmzZs2s1nVcXJzUs5rNZnJycvD5fHg8HgwGgyRDycnJ5ObmcuDAAdkVWLFiRdgQkkajQa/XS/Lp9Xo5deqUbM/OHPoQQ08z39ORkREZI6fRaHA6nTQ1NckwefFZDQQCqNVqoqKiPhDPuAj+dyBCyCK4ZAQCAfr7+2XU0eVCEAaY1lwtWrRI6jSuhDSIO/aZZrPij7j7vFiNllarlVNhVwoRC6XVanG73bjdbqmd83q90hR3fHycmJiYizIS9Xq97Nq1i1OnTuFwOLjppptITk6moaGBlpYWGeqs1Wol6fgwnMWjo6O55ZZb5nwuGAyGvQdzwePx0NrayvDwMKFQCKvVSmFhIeXl5bLN5ff7aW9vx+v1zvn+2e12jh8/Lr3u0tLSpLhdrVZTXFxMfn4+drudyclJWVkS7eqYmBjp9/bmm2+yd+9eLBaLNDLV6/XEx8dzzz33zHseSkpKiIuLIyUlhZMnT/LSSy+xevVqSeadTicKhYLc3FyKioqk8a/4HMyX5ymOZ3BwEKfTSWFhITt37uTGG28kJiZmXjJ0//33z7pJEBACeoVCQU5OzpzTvxcDMXH8sY997KJ/59133+Xw4cOMjo5Ka5jt27fj9/tldNv5vgPm0hnGx8ezcuXKWT+bmJiIw+HgyJEjqNVq9Ho9cXFx+Hw+Wlpa8Pl8xMTEkJKSglqtltFebrebvXv3kpKSIluqYkDI5XLJqfO+vj7Wrl0rBywE5mozJiYmUlpaSmNjI7GxscTFxbF06dKw1uTMz8ilEt0I/ncjQsgiuGzk5ORw/fXXy8xLIGwxEW2KmV82M58bGxtj586dUrs1PDyMz+djZGSElJSUy56y7OjooLm5WbYaRcXMZDLR1dVFYWEhRUVFVyy0vlRYrdbzTmSJ8yMI4MWQ0p6eHhobG7nppps4cOCArIiZzWZpriumYBsbG7n22ms/mIP5/zEfwTr3vU5MTMRgMMx5TB6Ph+eff54nn3ySyclJtFotVVVV/OhHP5KmsjBtDfLd736XwcFBduzYMasKOjY2xjPPPMOZM2doamrijjvu4Omnnw77GREfJSpMIk6nr6+P9PR0YmJiSE1NJSoqSladYmJiLroiFxsbKxf6hQsXUllZGSbq7+npoa+vD7PZTH9/P0ajEa1WS29vLwkJCeTk5JCdnT3rdVetWoXBYGDFihX85Cc/we12s3HjRvx+v4xsmnluQ6EQLpcLq9WK2WyW7WuHwyHJufh8Op1OSUzF/giIVr3P50OhUKDRaDAajSiVSjweD06nkz/+8Y+UlpZKz0AxbX2+63f58uWUl5fLwSAR+TU+Po7L5cLhcMw7cRkMBtm1a9esKtrKlSvJysqa9fMJCQk8+OCDnDhxgrGxMYaGhhgbG2PRokWsWLFi1n5u3ryZHTt2YLFYZMC7QqEgPj4eq9XK3r17MRgMGI1GSeAPHTqEyWRCp9NJ25xziZRKpcJkMpGbm4vX66W2tpZVq1b9j7WrieCjR4SQRXDZSE1N5aqrrkKr1VJfXy+1IjqdjqmpKfml7/P5iIqKYnJyUrbi8vPzGRwc5J133pELQ39/v2xfXkmFTK1Wo1QqGR8fl8LbmJgYEhISZLXjryWQvZjtXsq+iSiqvLw8jhw5Ih/XarUolUoqKipkiLvBYLji6piYbBP7OTExQVRUlNS7CHd8cY4FETGbzeTn5895t2+z2fjpT39KYWEh//RP/yR9184lr3q9nmXLlmG32+eskKWmpvL444/T3t7OAw88cN7jEJow0Ua2WCyyBRcKhVi+fPll6XY6Ojp47LHHpNEtTFduioqK0Gq1mEwmVCqV1HMpFArcbjcxMTEYjcZZgegCpaWltLe343a7uf766/F6vZSUlODxeIiNjZXV15lTv7/5zW/o7Oyku7sbvV7PypUrefnll8nJyeHLX/4yFouFo0eP8swzz9DX14dOp2PdunXceeedREdH4/f7OXToEL/61a8YGxsjGAySn5/PF7/4RVJSUjhw4AC///3veeuttzhx4gSHDx8G4Hvf+94F22xms1keT3V1NS+99BLr1q1Dr9eTnp5+Xu1jV1eX3JaAsFE5H7kR1aaRkRGMRuO8AyTR0dHcdNNNuN1utFqtvDEULUzhfydu9JYtW4bT6ZTXlMFgQK/XSy9FoQtLSkqSr5Wfn09GRkak+hVBGCKELILLgkKhkBYLHo+HpqYmUlJS6OnpoaSkhIaGBvR6PVlZWXi9XoaHh+XCoFAoKCgokOJ9o9FIfHw8S5YswWQykZ6efkX7lpWVJW05ent78Xg8aLVa0tLSZump/rdDkK2pqSmCwaAkRh0dHRiNRqKjozEYDERHR88avb8cHD9+nOHhYRISEqSLfGZmpgxeXrRoET09PaSlpVFaWioXHJ/PR2trK5mZmbOCtgcHB+nr6+O+++5j8eLF81YujUYjn/vc5/D7/fT09DA0NERVVVWY1Uh8fLysAp0PQsvm8/no7u4mLi4ubL8ul7i2tLSQm5vL3/3d382pY0xLS5OmtzO9ui7k5L9z507q6urC3kOTyURsbCy9vb1zVtXGxsZ4//33+fu//3u++c1v4nK5uOWWW/jBD37AbbfdRnx8PN/+9repqKjg4x//OIODgzz99NNotVruuusu7HY7jz/+OKWlpdx///243W6mpqYkWaqsrCQtLY36+npWr17N3XffDXBRLf6enh527NhBX18fu3fvxu/3s27dOhn2LXzVzr0WRJRVV1dX2OO5ubksW7bsvFXvhQsXzoqNmut7QKlUzjkpLnwYZ5JFof+Ev9hgOJ1O/H4/Go1Gtj5ndgpEbudf88Ywgv+ZiBCyCC4ZWq2WRYsWUVRUJEnVjTfeiEqlYtGiRRgMBoqKimQrRXwZVVVVSe2ZuGsUC2coFMJms9Ha2gowZ+vhUiDaDHNF2fwtQfi1/f73v5fi8c7OTlpbW7nxxhs/8DtwYQtitVqZmJggOjoah8NBKBSSlTK1Ws3Y2FhYFUu0oURwdDAYpKWlha6uLk6cOIHD4aChoYE//elPqFQq8vPzpRmn2+2mtraWkZERYLr1KyqvlwqR+alSqeju7qa4uJjY2FhOnDghsw6FiDsUCtHX18fZs2ex2+1otVri4+PJy8ubtZi63W5GRkbw+/2Mj4/T1NREfHw8CoUCtVpNQkICCoWCqakp3G63rJQIXaOYBnY6nRgMBtluh79UfBMSEigvL5d+bklJSWRmZpKQkIBOp5tzcS8qKmLNmjX86le/oqysjJUrV/LMM88wOTlJc3MzU1NTPPDAA6Snp+Pz+ejq6mLnzp1s2rRJ2lUIwXlVVVVY21nEJJlMJhISEi7JSiMhIYHrr7+eqakpCgsLMZlMmM1mBgYGUCqVtLa2UlhYOKtSNjIywptvvimd+sV7uWbNmjlvOMQNil6vv2jd6KVA6CJFxUyhUIRVkQHZwpzpy3i5UVoR/G0jQsgiuGiIAOGoqCg+85nPhD2u1WrRaDTyS28+IhAdHS2/uA0GA1dddZUck29qaiIvLw+lUvmhCM//FhEVFcXHPvYxjh07Bky3MPV6PVu2bKGsrOwDX4RqamqIjo5GrVbPKwIXFYKZ1YqUlBRuvPFGaXQZDAZ588032bVrFwMDA9jtdnbt2sWxY8fQarVs375dEjKXy8WePXv485//zKlTpygtLeWRRx4JW5QvFs888wx1dXXExcVRW1tLWVkZCxYs4LXXXsNms/G1r32Ne++9F7Vazfvvv8+3v/1turu75UJrMpl45JFHuP3228PObUtLC08++aQ0hj19+jSxsbEoFAoSEhL4yle+glar5fTp07S0tGA2m2ULPy4uDq/XKydtXS4XgUAAm81Geno6CxcuxO12c/r0aXmTA9Pau5kEci4IqxExZSimcv1+P729vWi1WlJTU6U+LD8/n1/+8pdSf/blL3+Zp59+mkcffZScnBy2bdvGtddee8WfTzGxeq5oXUgNSkpKZm0jGAyyZ88eamtrwx5PTU1l+fLl7Nmzh0AgQHFxMQ0NDVitVhISEmhqaqKsrIzGxkZpqtvY2CgtcDo7O1m8ePFl3bwJkg7hesq5yPGlVEQj+L+JCCGL4IKYWb1qa2ujuroaj8dDamoqfX19KBQK+vv7SUtLIzY2lomJCZnP1tPTQ0xMzKwMRpgmZGvXrsXtdsssQyFKj5TyLx4Wi4VVq1axbNkyWaES4uIPGjNbOfO9R3NFOM10IofpqsY999zDtm3bZFzN5z//ebZu3Sp/XiAmJoZHHnmEO++8k69+9asMDAxIYnGpCAQC9PT08KUvfYmNGzdKLdUzzzzDj3/8Y3bt2sWdd96J3+9nx44d9Pb28uyzz5KWlibNQ3Nycmad2/z8/Fm2ETOPVWRNCmsNMVwQCoWkWXFqaqpMabDb7bJKLNIIRDqBIIIz3ejnw/k+R1FRUQQCARwOB2azmWAwKKueoipXWlrKv/zLv9De3s7zzz/Pd7/7XVJSUliwYMEFX19k2Nrt9jmzSed6/8xmM8uXLyczMzPsHItW5vPPPz+rOrZhwwbi4+Opr68nISGB2tpa7HY7K1eulC3F4eFhmWO7Z88e8vLySEpKYteuXeh0OlpbW6+4mn6h76xzB10iiOBcRAhZBBeEz+eTgnFhqNjQ0EBRUREtLS2sXLmSkZERzp49S3l5OXV1dQSDQQoKCujq6mL9+vVzvq4YAPB6vdjtdhITE5mYmJCL1f8liJbVTKuO88Hn86HVavF6vUxMTGC1WiUREguhx+MhPj7+AyVmbreb/v7+y7ZIEBB2HzExMcTGxsrJ0JlTlQJKpVKKzEVWpN1uZ2pq6pIrDSL2q6amhu7ubjIyMqiurqayspKKigp27NghPaAsFgtut5uWlhbS0tJIT08nLy9vzsVUr9dfMBAdpo1LRSD9+SZUz32utLSUAwcOcObMmTCvqsWLF1/S8c/EihUrePHFF3n99de59tprGR8f57XXXmP16tXSiqWzs5OYmBiysrLYunUrb731FqOjo/I1lEqljCITHltOp5M///nPlJeXYzQaaWhowGKxsG/fPvR6vayC5eXlhTn3wzSZX7p0adhjwWCQrq4ufvjDH8qWs0BOTg633XYbRqOR3t5eXC4X2dnZ0vT27NmzdHZ2St80pVKJy+Wiq6tL2sDY7fa/eWlDBP87ECFkEVwQoVBIClFtNht1dXX4fD5cLhfx8fGkp6dz8uRJXC4XU1NT+P1+UlJSMJlMpKSkhOWxzYWoqCjKy8sZHR0lISFBxq78X4LH46Grqwu73Y7P55NkQJhWCs82YVg5NTXF0qVL6e/v57XXXuOuu+4Kq151dHRw7NgxVq1ahc1mY3JykpKSEiYmJkhJSZF5fFNTUwwPD6PT6Vi4cCGTk5M0NjZiMpmoqKigs7MTu92Ow+GgoqKCuro6XnnlFbZs2cLixYvRarU0Nzdz9OhRYLrqsWTJEnJycggGg/h8PqkxAyT5uhIolUqys7Ol0/qlQkzBCZNPEZ0l8kcB2Tbt7Ozke9/7Hj/72c/YsGED69evZ8GCBRc8BnG851q+KBQKuru7ee+996RGrKqqSpI0gXNJ3/Lly2cRlSttRxcXF3P33Xfz7LPP8vvf/x6n00lcXBx33303RqORkZERvvnNb+J2u4mOjsZms7F06dIwrZhCoWDjxo08++yz9PT0YDQauf3221Gr1dTX17NixQqUSiV2ux2lUsnp06fRarUsWbKEhoYGysvLwyLUZh5TMBhkdHSU+vp6nnvuOfbt2xdmBKvRaNi6dSsFBQUMDQ1RXFzMokWLMJvN0u4mOzube++9F41GI1u9FRUVeDweNBoNFRUV+Hy+yzahjiCCDxIRQhbBBaHValm2bBlDQ0Nh7vSxsbFymuiaa64hGAwSCATIzs6WbRq/3y/DheEvImYhym5paSEYDJKcnExdXR1VVVX09vai0+mkmeZHCRH5Iiw8PigIUiuMQM+Fx+PBbrczMDDA1NQUFouFkZERKe72+XxyCEK0k4RIXOh/BMQErM1m4/jx43R2drJ8+XICgQBvv/02a9eupaGhAYVCQV1dHRUVFfJ9OHnyJHq9np6eHtRqNYcOHUKv11NZWSlNdR0OByaTSdqV7N69my9+8YvAdPv0ySefJCcnh5GREXbv3i1JSXp6OsuXL79iQiaus4KCgst6rZl2HMCcryHMUh977DFOnz7Nu+++y86dO3nxxRf5xje+waZNm1AoFAwPD4dVNhUKBSqViv7+fuk+HwwGZfVPoVBQW1vLZz/7WXnj8cQTT5Cfn39egnWpebJKpZJbb70Vv9+PSqXivvvuIz4+HrPZLKOkFAoF27ZtY9GiRQwODmIymSgsLJRVSovFwj/+4z9y6tQpJicnSUlJkd5hPT096PV6nE4n11xzDfHx8fh8PuLi4rDZbAwMDBAfH09bWxudnZ2YTCaZwhEbGyv98WA6uuiJJ55gfHwcs9ksRe+Tk5P09/fT2dk5KxVEpVKxbt06tm3bhkqlwmq1Ul1dTXR0dNj7qdPpZtmXzNStzUyyEObMkZiiCP5aiBCyCC4IYYp47hRTX18fY2Nj0vlcuIwL4jA1NYXRaOT06dPS0ycmJobs7GwUiulw3j/84Q/4/X5uuukment75YImNCrCDVun08lJpg8Tvb292O12SkpKPlBBfDAYpL29XTqCn4vo6GgWLFhAeXm5nNCay7VdtLPEwiEy785tcc2c9CooKGDp0qUy4mZmLqfQCdntdoaHh2lra5OWA6KKVFZWJltjWVlZpKSkUFFRIfM/54MIXRfbsVqtH0j7VKvVUlpaKknhh4moqCiWLl1KZWUlt956K5/85Cf5r//6L1auXInJZOKtt97C5XIRFRUl23GJiYk0NjYSDAYpKiqirq6OrKwsNmzYcMXXVCAQoLm5ma6uLhYuXIjVaqWpqYn+/n4WLVokP6NKpVLmoQ4PDzM6OsrU1JScFh0aGmJqaorx8XECgQBxcXFhFiIwXYFKTU2lo6ODtLQ0xsbGOHz4sLzmSkpKqKurk/FD69atk7FdoqWuUCioqqpCo9FISxOh/1u3bh0wfZ2cPHmSs2fPhulH57quBSorK3n44YeleeylEFZhdTI5OYnf75cWFMFgEK/XS1lZ2eW9ORFEcIWIELIILgpzLXxTU1M0NTXhdruZmJggFAphNpvRarXk5eURExPD5OQkPT09KJVKpqamyMvLk/ojv9/P5OQker2e8vJy4uPjpQ5HbE94bH1YkT/nIhAIyG0K53LRynI6nYRCobDHRCBwIBDAaDTKx8TzGo0GrVYrF21hXDmTGM18TRES7fP55O8qFAo8Hg9utxuNRhPm/G61WnE6ndTW1lJZWSnbQ++99x6JiYlYLBZJZMX78uqrr+JwOKipqZHidaVSycqVKzGbzTQ0NKBSqaStwcwpPpPJhFqt5vnnn2fLli3nrSZkZGTM0uZcDoESdhljY2M4HA48Hg9DQ0NyclDs39TUFA6Hg4GBAVlxFJU+EYt0sZicnOTll18mLi6O3NxclEqlbN/GxMTIamFubq4MpJ9pbyAm+AwGA9nZ2dIt/1Jht9ux2WxotVri4uLo7+/nxRdfpKioCIDOzk5eeuklKioq5n19m80m29IKhYKzZ89itVpJTExEq9XS398/r2YzNjaWmpoatFotTqdTXucwTdiSkpIIhUIcO3ZMkiePx8OxY8fIysqSpBCYda3MRU7nC20X0Gg0VFVV8eUvf5mSkpILXk/BYJDh4WEmJiawWCyyktfQ0IDb7SYjI0O21TUaDUql8oL5sRFE8GEhQsgiuGwUFBSQnZ2Nx+NhdHSUUChEUlISarVaRuwNxmcAACAASURBVKcEg0FZTWlqasJoNMovvEAggNfrlULt4eFhXC4X6enpUtMhRvTPV4n5oDE4OCjDh1NTU8nJyaGjo0PmLJrNZkpKSujv76ejo4OoqCh8Ph/Z2dm0tbURCAQIBoOybVtcXEx/fz8tLS2Ul5fL6TaR3QgQFxdHUVERR44ckY7ffr+fhQsXolKpaGxslFWvvLw8EhMTpRdVdXU1b7/9thRN22w2zGYzt99+O+np6WEturVr13L11VdLg8qmpibWr19Pdna2dEkXgeAGg4HNmzeHLZwWi4WHHnoIQL5v8+GDWtReffVVnnvuOYaHh2X24D333CPzMz/96U+jVCp59tlnee211xgbG+PMmTN0dXXR0dGByWTii1/8oqzIXAyCwSB1dXXs2LEDj8cjKzsLFizgvvvuk+306urqOYnFXML8Sz0fXq+Xl19+mdHRUTweDzfeeCOdnZ00NzdL81WRWZqfnz9vrmxeXh6ZmZnyOsjPzycmJias7SzI5LnQaDRymlMkJ8w8jtjYWILBICkpKfI8dHd3MzIyclFDDhcLQXI3btzI3XfffdFDJQMDAzz++OMAXHPNNWzYsAGj0SgHjVQqVVjyRAQR/DURIWQRXDLEePzMu1nhcu7xeOb1hxJf0DabDZg2GXW5XJjNZlQqlXR8P3LkCFarVY6+u1yujzR30mAwsGDBAiYnJzlz5gyxsbF0dnbK6J9Tp06RlpYmiaKIxfF4PPj9frKzs2lpaSEnJ4fe3l4CgQA5OTmyrQvTlQ/RZtJqtdTW1mKz2fD5fCQnJ5OTk8OxY8cYGRnB7XYTCATIzc1lYGCAtrY2YmNj0Wq1qFQqrr76avLy8uju7sblchEbG0tGRsacE5YajUZWGnU6Hdu2bcNqtUoCLMTtAueSDVE1FDgfUXY6nYyPj0vNlzByNRgMYRVAnU7Hc889R2lp6ZyvU1NTQ3JyMj6fj/7+fmkV4XA4SEtLY2BgAK/XS0FBAZ/+9KelceyJEydIT0/H4/EQCAQYGRnh4Ycflu3zrKwsfvzjH5Oamio1VytXrpRZjX//93/PzTffjM1mQ6/XYzQaSU9PJy4ubtZxz7WYX+kCPzk5SV9fH3fccQf79++ns7OTmpoa6uvr+djHPobVamX58uW0tLSwadOmMM1lKBRibGyM/v5+YmNjSUlJkdeCaEP29vYSFxcXNnQjLGiUSiUZGRlhhrN+vx+bzcb4+LjUNEZFRZGQkCCrsMFgEIPBQG5uLikpKQSDQdra2vD7/eTk5MjJ4KGhITns4Xa72bp1K93d3fT39zM1NSU/8yJbNDc3l4yMDNLS0vB6vXR3dxMfH4/RaJz3PA8ODrJv3z4GBwe57777KCkpQalU0tfXJyvzKSkpaLVaRkdHUSgU2Gw2+V00H8GNIIIPC5ErLoJLht1u59lnn5WTepcLj8eDzWaTbY/JyUmZgel0Oqmrq2PBggUy+++jgsViQavVygqQ2+2WAdRCQCwWNxFNpFQq5SSqTqdDr9fLFs1cVSS32y3DhoXmTrRNYmNj0Wg06HQ6fD6f1Pp0dHQQDAaJi4sLW4Q0Gg0ZGRkycmqmwPxcDA8Pc+LECUpKSkhPT7/imKrzoa2tjfb2dgYGBuTEm4iT6enpwWQyyUnSW265JSxMWhA4QZyysrKYmJjg5ZdfRqvVkpOTwzvvvANML7wTExMEAgGqqqqk4Wh3dzd+v5+hoSGpDZqZsWgymVi4cKEkArGxsRiNRhn6PTk5iUqlwuVykZGRIQXmXV1dMi4nNzf3oqKCLgdRUVFYLBZ27drF8PAwmzZtuqTff/3113n44Ye55ZZb+NGPfiRtUc6ePcv27dvp6uritttu45lnnpG/09jYyPbt20lNTeV3v/ud1DtOTk6yc+dO/vjHP3L8+HHGx8cxGo0UFBTwsY99TP6OqLyKYROv18u9995Lb28vu3btIjo6mueff54dO3bQ3t6O3+8nISGBa665hq9//evExcVJjSRMt+4PHTrE7373O/7zP/9TOvlnZ2fLuCahNz0XdXV17Nmzh/b2dl5//XVMJhMajYY//OEP9PX1YbPZ2Lx5M2vXruUXv/gF4+PjaDQaTCYTDz74YISQRfCRI3LFRXDJ8Pv9nD17VvoOXQkE0RItutzcXCwWC8FgkL6+PoLBIDqd7iP9cpxpUwBIklRcXIzZbMbv98u76nNNbM9HhmZCr9eHBXJ7vV4ZS3OuTYLJZEKn04WJjcX58Pv9uFwuWdXxer3ybj8+Pl7miCqVSpKTkzEajfT19WEwGKTFiN/vl35wwtpEp9MRGxsrK5hOpxOlUimjgbRa7ZyeYTORm5tLUlKSrIYJ8bcgTkIbp9frwzRMPp+P+vp6JicnqampkdovpVKJxWIhPz+ftLQ0kpKSMBqNnDx5kpycHPLz84mOjkar1RIMBrnhhhsIBAJysneufMJAICAX+aNHjzIxMSHbz+K9MRgMnD17lra2NqmLE7quuQYLxDZFK9DhcMjJwUvRsen1em655Rb6+/sxGAyy/XzHHXfIapjFYuH222+fFaotYsP0ej3Nzc2Mj49LQlZXV0d/fz8ul4v6+nrGx8elSa0gnRUVFXJAYGBggH/7t3/jF7/4BWq1WuZx2u12Tp8+zfvvv8+7777LD3/4Q1lFFubQoVAIl8vFyMgIp06d4g9/+ANvv/02MTExxMXF4fP5GBkZoaenR9qQCHg8Hn7+85/z2GOPMTExQWpqKsXFxfh8PgYGBnjqqad45513eOyxx7jmmmtmVXOvu+46DAYDO3fu5Ctf+QoWiwWfz8f69etxOp2888477Nu3j2uvvZbJyUkSEhK4//77USqVERuMCP4qiBCyCC4bqampXHXVVXJqy+fz4ff7aWtrQ6/XEwgEiImJISEhgampqbDqBMDExAR79uwB/mKHIdpNoVCIrKws3G43LpdLEpa/BkwmE8nJyZw+fVpWv0Ssz8XA5XLR2dkpI4KEzUd8fDynTp2SNhVCo3MuMjMzqa+v5/jx43KhFWRoeHiY3bt3c+ONNxIdHc2hQ4d45ZVXUKlU3HbbbVitVmpra2lpaeHmm2+mqKhIbqe3t5fa2lp6enooKipieHiY6upq6uvraW1tZevWrRw8eJCNGzeyd+9eioqKOHbsGA6Hg8LCQqxW63mJstFonPWezSQw8+nP/H4/3d3dDA0NkZCQIFuZUVFR3HDDDfImQMQCrV69Gggn0kql8oKEEaZbsrm5uXLK1O/3U15eLnVTQpwfCoUYGhrCbDaHHdNcNyTNzc2MjIxgNBpxu910dnaSmpoqJ2kvBbGxsbOI5MwWo5iEnAvZ2dlYrVY6OzuZmJiQbfaGhgY0Gg2FhYUMDQ3R3t7OokWL8Pv9tLS0oFAoKC4uloMpv/zlL/nZz35Gfn4+//iP/8j69esxmUw4nU7279/Po48+yiuvvEJ2djaPPfYYoVCIxsZGVqxYIYmjx+Ph8ccfx26389WvfpUNGzbIgPrTp09jMBjCwt2DwSD79+/nBz/4AR6Ph6997Wts376dxMREAoEAJ0+e5Dvf+Q5vvfUW3/72t3nuuecuyty1o6ODZ599FovFQmdnp7x+Q6EQxcXFH8nkbgQRzIcIIYvgspGdnc2mTZuIioqivr6ewcFBnE6nbDt6vV7y8/MpLy+nubmZLVu2hP1+X18fx48fB6a/gAcGBqSeR0ytBYNBKZD/sKaf+vv7cbvd5OTkkJaWJisbUVFRLF68mJaWFrxeLzk5OfIuXqlUyiqNgJgW1el0YX+L6S0RNi10U4WFhdJtPjo6WoaziypBYWEhXq9XttacTqckbwJjY2OMjo6iUqkYHh7mwIEDbNq0CY/Hw8GDBykrK5P+Zue2mMWiKkhDcnKybMd1dXWhUCjIzMzk2LFjkggGg0GOHz+O3W6fk1AJ2xIBn88np9w8Ho+cPIyNjcVqtc4piBfnZnR0NMwk+NzXDoVCOBwORkZGsNvtckJVp9MRExOD1Wq9YEVKhHYnJCSQkpKCw+GQU5QCTqdTbmNwcPCC2xDJE2K60Wg0ymGWjzLDMDU1ldTUVM6cOSMHUiYmJqivryc5OZl169bxy1/+krNnz7Jw4UK8Xq+86RCDOGfPnuX5559HpVLx6KOPsmXLFklidDodmzZtYnBwkL/7u7/j1Vdf5d577yUxMZGUlJSwYxVWE//5n//Jxo0bpY4xLi5uToG+zWbj5z//OSMjIzz44IM8+OCD6PV6+flftmwZ3/rWtzh9+jSHDx9mz549fPzjHz/v+QiFQpw4cQK1Ws1nPvMZ/uu//ovGxkb5/IcRPh5BBJeCCCGL4LIhwophOstvcnISg8HAli1b8Pl8eL1eWSGbq5IitFOA9CXbu3cvOp2OkpISkpKSUKlU0krjw4Lb7aa9vR2Hw0F2djbj4+OMjY1JbdvZs2eprKzEZDLR29uLUqkkJyeHrq4ugsGgdHofGhoiNjaW5ORkWV0Q50ev1+PxeKTGTJi56vV6uru7peeSzWYjIyOD3t5eQqEQg4ODcvrxXB84mK4mGQwGVCoVdXV1xMTEsGTJEoaHhzl27Bitra34fD5JMlpaWjh69CjR0dGy9VZUVERDQwOlpaXU19cTFRVFTEwMarWahQsX8uyzz7Jq1SoZiK3RaGhubmbNmjWzrEhEMHwgEKClpYUXXniBPXv20NraytjYmLTTKC0tZf369WzZsmXOnFOh4SsuLp51zCI6affu3bzxxhscP36crq4upqamgOmqUl5eHtXV1WzZsoVFixaFidPng16vl+TqSraxYMECFixYgM/n4+zZsyQkJEgyfrkIBoM0NTWxY8cOSTz1ej033XQTxcXFc1bq1Go1paWl7N69W0acjY2N0dDQQElJCVdddRW/+tWvaGpqwufz4fP5aGxsxGg0UlpaSjAY5NSpUzQ1NVFZWcmiRYukV9dMVFVVYTQaGR4e5tSpU6xdu1YOBAgoFAqWLl3Khg0bLsq+pre3l71792KxWFi3bh0qlUoOhQiUlpaSlJREd3c3hw8fnpOQnUvic3JyeO2113jiiSdk2xmQZtURRPDXRISQRXDJUKvV5Ofnk5GRIXU2arVaRrsIj6aZmItMCHIi/l1VVSW9tkSrQzjc2+12LBbLh/KlKbQ9Op1OxkJZLBba2tooKyvDbDYTHx/P4OCgbK22tLTQ29vL4sWLUavVnD59GqPRSHt7O2q1mtHRUaKioujr65NeYhaLhd7eXmJiYigrK0OhUNDe3s7ExATj4+OkpqZis9mYmppCp9ORlZXF6OgoZrOZjo6OOc+hyWRiamqKhoYG6urqWLx4MUajUaYCrF+/Hr/fj0KhICEhAb/fzz333CP/f+edd2IwGFi+fDkWi4XS0lKcTifXXnstcXFxdHV1ER0dLc18CwsLSUtLkx5g50JUN19++WW+973vcfr06bAF3O/309vbS29vL3/+85957bXX+OY3v8mSJUvC2kcOhyPMAV8gGAxy4sQJfvSjH7F7927GxsZmVZ2GhoYYGhri/fff549//CPbt2/ngQceIDk5+aKunw9qG1qt9gMxGRVVyUcffZR9+/ZJ5/+Pf/zjJCQkzHtMCoWCiooKVCoVTU1NBINBenp66OrqYtu2bVITefr0aaamprDZbPT19clWp9fr5ezZs/h8PpqamtiyZcucZMrtdmO322WVdnh4WCZeCKjVasrKyi7aBb+1tRW73Y7L5eKhhx6aFVgP09dJS0uLbCfPhQULFpCVlUV0dDQKhYLKykq+/vWv43A4iI+PlxrVz372s3NezxFE8FEiQsgiuGSYzWa+9KUv4XA4OHDgAEqlksnJSUKhEFFRUVRVVZ13oRAQkTyilTMwMMDAwAD5+flhAuhAIMDExMRlm2teCAqFAr1eT1RUFN3d3Xi9Xsxms8zj1Ov1REdHMzg4iMFgkCkEWq2W+Ph4nE6nnJBMTk6Wrt8qlUq2QAcHB1Gr1WRlZWE2m+W5EZOUFouF9vZ2AoGAFNGLipLVap0VHSOQlpZGVlYWO3fupKioiCVLlkhPN9FSO1fHZTabJcEQFhaCAM+0tBCtzhUrVhAfH08oFJIu/mL/57J/OHz4MC+99JLU6JjNZuLi4uTAwOTkJD6fTwqrx8fHefLJJ6mpqQlzaReDCgKBQIDDhw/zyCOPcOrUKXkMWq2W6OhoYmNjCQQC0kDW7/fT2dnJk08+SUdHB//8z/8sieV8+KC3MZPIXc7NRCAQ4MSJEzz00EMcO3ZMkrHPf/7zfPrTn5bXIiBNTYU1iUKhoKysDL1eL5MDjh07RiAQYOHChWRkZJCamkpdXR0TExM0NzczNTXF6tWrMZlM8jgBKb6f7xgSEhJkK16tVsu2/sxjn6kRuxDGxsakn9/4+Lg8xnMRHR2N2Wyel0zNNA4GpKXFuRWxC+XtRhDBR4EIIYvgsjA2NobL5ZJ+UHq9Hp/PR09Pz0ULlw0Ggxzl9/l8DA0NoVAoGBsbw2g0kpSUhF6vl7YCH5bGQ6fT4Xa76e7upqysTMZBCZF4TEyMrHDV19cD062P4eFhJicniYqKIi8vT5rjqtVqKQpXKBRytF9ECInHYTqKSPg4paeny0gkr9crY3h0Ot28Hl0Gg4Ebb7yRVatWYTKZJKGqqKgIE2YLYqBQTGeIut1uGeYsjjMYDM6Kp4qPj0ev19PW1sbExAR6vZ6CgoJ52042m41nn32WyclJ8vLyuOuuu7juuuuIi4uTxP2dd97ht7/9LQ0NDQCcPHmSp556iv/4j/+QAwfCDmMmmpqa+PrXv05dXZ3MI6yuruaOO+6guroak8kk277vvvsuL730kqx4/ulPf8JkMvH9739/Xlf6D2Mbwg9M2JVcyrRwIBDg6NGjPProo5KMWa1WPvvZz/KZz3yGI0eO4Ha7pfZPVEULCgpkxTE+Pp7MzEy6u7ux2+2cOHECi8Ui38OKigp++9vf0tfXR2trK06nU4rbxesBLFmyhCeffHLWNOdMKBQK4uLisNvt0vbi3Od9Pl8YWXW73VIv6vF4iIqKCvPCS05O5qc//Sl5eXnnPVcXW92anJzk7NmzLFiwIJJZGcH/OEQIWQQXhaGhIY4ePSoJRVNTEwsWLJATbqFQCJ/Px+Tk5EXrZWaajHq9XjQaDV1dXXg8HhYsWCBF/B+mfgym746FiSVAYmIi8JfqRmVlZdg+CvIG05YABQUF5ObmhgWvz4RILpgLGo1mzsrBTA2aIGl+v3/Wz4VCIfkaSqWSQCCA3+/HZDLh9/s5c+aMbP85HA45+SqsDuLi4hgYGJC5lZWVlWEL5uDgID09PQQCAWkdkZGRMS8h8/l82Gw2Kisr+dGPfkRNTc0sIl1ZWcmKFSt48MEHaWhoIBAI8Oabb7Jr1y5uu+22WVYiME3Q/v3f/52DBw/KoYs777yTb3zjG9L/aiaqqqq44YYb+Id/+Af27t2L2+3mxRdfZOnSpdxzzz1zXlMf9DZEykR9fT0ej4eamprzksGZCAQCHDlyhEceeYQTJ07I6uQ//dM/ce+990pNVVJSEkVFRTL9wWQyERsbK/c1JiaGkpISamtraW5uprm5mZKSEuLj41GpVFRVVfHzn/+cU6dO0dbWJgmdRqMhFArJypHb7SY+Pv6iHPJ9Ph+BQGDW+RodHeXtt9/G7XZLYiZMg41GI3q9nlWrVqHX60lNTZVaRLVaPaeWcK7tvv3223IgZfPmzRw/fpz+/n4qKiqoqKjgyJEjOJ1OKioqaGtr48CBA/j9foqLi6XebnBwkISEBDZv3hyxv4jgI0WEkEVwUejv76exsVGSDuF+PjY2xtTUFHq9nuTk5DBzz0uBWq2moKCA+Ph4qdmy2Wxh2Y/wl0gahUIh45k+CLhcLunNlJycjMvlIhgMynaiVqslNTUVq9UqdWSigvJhQFQYxHGLaoIgN0qlUg4KwDSxEx5fKpVKVvUCgQB2ux2NRoNarUar1WKxWOTi7XA4UCgU0o9s5vZMJhPLli2ToeTinM9sa84FjUbDAw88MG+skFKpZOnSpXz2s5/la1/7GhMTE9jtdl555RXWr19PXFwcCxYsoKioSPp3HT16lDfffFO2SKuqqvjCF74QRpRmXiMiNP2rX/0qXV1dtLS04HA4eO6551i7di3Z2dlh+3S+bSQmJsrYKjG0II7jfNvIyspibGwMv9+P0Wict4pzbhs+EAhQW1vLV77yFUnGUlJS+MIXvsCnPvUptFotNpuNFStWYDQa0el00rtPVJfEOYmKiqKoqIh9+/Zx8OBBxsbGWLt2LbGxsSiVSnmOa2trcTqdxMXFSbNgjUZDaWkpFouF1tZW6uvrZbvvQrBYLBgMhrCWtpAGKBQKOQDhcDhka3pmBVk48zc3N7Nv3z7WrFlzwc+ax+Ph8OHDFBQU0NXVRW9vL62traxatYp33nlHVqP37dsnq/mdnZ1cd911HDx4kOjoaOrr60lJSZGShAgi+CgRIWQRXBSEI7m4wx8cHCQQCNDT08PRo0cpKiqSbTpBHtrb22WrS6lUysUWpjVCwgZBq9USCATo6OhAoVBgtVpxuVy88847pKen093djcFgkGabTqeT1NRUqqurP9A7WIfDIf+Mjo5itVoJBoPY7XbMZjO5ubkfScA5II9LkAxRvRPVI41Gg0qlkn/EeRRVB/H4zPbxTIIn/i9gs9lwOBxym2+++SaLFi2S1cJLQWlpKatWrTpve06tVrN582Z++9vfcujQIQAOHjxIW1ubtJIQGkKXy8Vbb71Fb28vME0y7rjjDnJycpiampJ+ZIFAgMHBQSwWCyaTCaVSyZIlS9iyZQuPPfYYAPX19bzzzjt88pOfDDt+t9s95zYyMzPZv3+/vAGxWq1UVVXJxfpC2wCkQ/x852Nm/E8gEODgwYN84QtfkG3TjIwMvvnNb7Jt2zaUSqX0iYuLi5PVT5PJhN1uB6bzSgX502q1FBYWArBv3z7cbjcVFRVym8nJyWRnZ1NbW4vZbCY5OZmsrCxg+vqoqqpi5cqVvPrqqzz11FOkpKRIKxdxrYlw7snJSbKzs6W2NCkpKazFGRcXx+rVqy8q/zQ1NZXbbruN73znO/zmN79h6dKl0uhVXMei9S5yM5VKpXxfNm3aFDYgJCpx4rvG5XKhUqmk0e+hQ4fk8SQkJFBVVfWRxrVFEAFECFkEF4no6Gj8fj9NTU10d3fL8X6haykvL5c/29vby2uvvUZtbS12ux2/349er2f58uWSkI2Pj/Piiy8SCoVknmJpaSldXV28++67VFRUSDdwm82G3W4nEAiQkpKC1WrFaDR+oHFKer2ewsJCSfqEFkxUhj7qkfi5/LMuZEg6F2ZWj86ePUt3d7e0waisrMTlctHY2EgoFKKkpIRgMMiRI0f4xS9+QXd3t7R2mGvKbT6UlZVdVKXUYrGwbNkyScimpqY4ffq0nNYVGB8f5+DBg3Ihj4+PZ9WqVfT29vLuu+9yyy23yLZvY2MjarWaVatWyUrM6tWrefrpp7Hb7ZIsiJbihbYh8hsnJiZQq9VznofzbcNgMEiN1HwQ5CkQCPD+++/zla98RZKxrKwsvvrVr7Jt2zb0ej1erxev1ytzSh0OB1arVQrfc3Nzw4ifQqEgNzcXg8HA4cOH0Wg0FBcXy+vCarWSm5vL7t27MRqNrFmzJsyI1mq18tBDD9HR0cG+ffu47777pNWGRqNhfHyc5uZmamtrKS0t5YknnmBiYkLqIufCxXyW9Ho9d999NwcPHuTNN9/kC1/4Ahs3bqS6upro6GjsdjsdHR0cO3YMt9vNT3/6U6nXHBwcZNeuXdx6663ExMTwpz/9ibKyMoxGI2+88QYjIyMcO3aM5ORk0tPT0ev10u4mGAzS2trKyMgId9999wWrwRFE8EEiQsgiuGjY7Xb+8Ic/MDw8LG0ioqOjcTgckryMjo7y61//mmPHjqHT6YiKipI5gzNhMpkYHx/n5MmTVFZWUl1dTUdHB6Ojo+Tn55OSkkJxcTGhUIhly5YRCAQIBAJysfigCZJoAf5PxpXcsbe1tfGzn/2MiooK/vjHP7J48WIyMzP5zW9+IysDe/bs4eGHH2Z0dJSRkRHGxsZke/NioVaryc7OlsbAM8lBIBBAqVTKlpdWq6WiokI+7/F4wow6BcbGxmhqapL/T09PJycnB5vNRkxMjNy/YDDI1NRUWEtNGNpmZGTIScOWlhaGh4fDJuvm24bRaOSWW26hp6cHrVZLQkLCrPfhfNuIj4+XthnzGRsLQvbee+/xyCOPyGGHwsJCvvvd71JYWMjRo0el55yokIooKY/Hw+DgoNRunT17luzsbFmdys/PJyYmhpMnT1JeXh5mxWE2mykuLubll1/G6/VSUVExazpy1apV/Md//Aff//73OXToEN///vdlG1t4CRqNRmpqamTFcMmSJcB0dfNyoFAoyM7O5vHHH+fHP/4xO3bs4Oc//zk/+clPwlrHBoOBlStXotFoZGB4dHS0lBrcfvvtYa977733zrm9LVu2sH//fjmxGXHsj+CvgQghi+CSkJCQQEZGBuPj4/h8PgwGA1lZWahUKvx+P4cPH6auro6MjAxuvvlmCgoKeOKJJ+jv7w97HeFldvToUVpbW6mpqSE6OpqEhATi4uLk3fW5zvQRXB66u7vRaDRs3bqVwcFB0tLSGBsbY//+/dJf6qWXXqKvr4+rr76anTt3snnz5kuKiAKkFcjExARHjx6VlRKfz4fdbic7O1tqlES+pnje5/NJJ/yZGBgYCFvYs7KypE5q5tSe0+kkNjY27DGYrsQlJiZKsifSDWYSsvNtA7hgLM9827BarXLKdj4YjUbOnDnDt771LRoaGgiFQuTl5fGd73yHDRs20NfXJwcy7HY7KSkp6PV6JicnZTs9Ly8PtVotPyszTVTj4+PZvHkzOTk5lJeXh+2LUqlk1apVMrj+ZpsGkAAAIABJREFU6quvnrV/Go2GFStW8LOf/YzDhw9z4MABOjo6UCqVmM1m8vPzKS0tpaysTE5Liva5SqVi1apVpKenzzkpKbIufT4f0dHRs8huYWEh//qv/8rWrVs5cOAAra2tUneWkZHBokWLqK6uJjExkfj4eD7xiU9Ib7FLsdkAWLp0qYx3E3Y3EUTwUSJCyCK4aJhMJtavX4/D4eDUqVNkZWXhcrnkomW32zl69Cg6nY7t27dLX6m5WhcKhUJONg4MDEh7gKGhIQoKCtDr9aSlpYX9jt/vlzFBIkg7KipKOtVHMD+Kiop44YUX+MEPfoBKpaKmpoaRkRGcTqesOHzqU58KM5+9nJifmaTAbrczNDQkDUOjo6MlGYO/iLyFZYpwxxeDCQKjo6NhVToxRejxeJiYmJD7qdPpsFqt2Gy2sH3S6/VhrUa73S71VhfaxsXifNvw+Xzz+mjpdDo6Ojr4/ve/z3vvvSePJTExkdLSUnQ6HdnZ2bOGEGbqAef7t4BKpeI73/nOnNsPBAJcffXVXHfddbM+Q6LiGAqFpC/fDTfcIOPEampqgOnP5Z49e6S0YHh4mIyMDNxuN0qlkn/913+lu7ubtLQ0mpqaiIuLk8H1Go0Gm81GXV0dK1askFrRmfFpOp2O4uJiFi5cKO1oDAaDNJ9Vq9UMDg4yNTWFxWLBYrGEJTPs27eP3t5eVq9eTUpKynnfQ6GDjSCCvwYihCyCi4awThA+RSIeyePxSEf9/v5+YmJiwnQqc0GhUMh8P5fLhd/vl9FLk5OT/x97bx7eZn2m+38kWbstS/IqL/Ie70ucxNlJSAhZCQEmpeFMWWZgON1PT2nndGWGmWnnOjOcckpnujAtZaYULkJbKBQSQkhCVpt4ixPb8RLvm2RJXrVZy++P/N5vrdgOBjqdtkf3deW6vCjv99Wrr/Xeep77ue9FLR7Gx8c5fPgwCoUCo9HIzMwM+fn5bNy4MUrI3gdarVb4xqWnpxMOhzEajWRkZLBmzRry8/OZnp7GbDbj8XiIiYnB6XTi8/lEe2w5kCYx4+Pj2blzp2jVSTYINw5hxMTERBB2qVI2//X0+/0RJEPyj5LL5UxPT4tJU+lYGo0moj144xqBQGDB/lpqDVieuevN1pDsG5bCd7/7XdHqlNDQ0MDTTz/N3/3d3y1plTH/XJb6+v3g9XppbW2lpKRkgT5OspEYHBzkL/7iL1AqldTW1tLf38/ExASjo6MEg0Fyc3O5cuUKmZmZ9Pf309fXh9vt5sqVK2KwpKmpibi4OI4fPy6qpPX19ZhMJmpqavD5fIyMjIiM1OTkZOE/2N3dzZkzZ8QE9tTUFKmpqTQ2Nop9bTKZSElJEbYe+fn5hEIh7HY7r7/+urBfaWlpwePxYDab0Wg0OJ1OTCYTsbGxC0Lco4ji940oIYti2XC73bz99tsUFRXR09PD3NwcOTk5IrRamriKjY1d1si41FaRJgYlA1KPx0NVVdWCx+t0OrZv3y4qZLOzs0J8H8XSCAaDnD59mry8PHJzc7Hb7TzzzDP8j//xPzhw4AD/8R//gUwmo7CwkAcffBCtVsv27dt56aWXOH/+PH/5l38phjGWu55CoViWIFryTZMgTYfOJ1Q3mtVK+yYYDJKVlSVaSzKZjNHRURwOR8RggKQ/vHGN+VhsDY/Hw9jYmNBISka6i0Uw3WyN+Pj4JUmVz+fj0qVLQk8XCoVobW3F5/Px/PPPY7FY+PSnP71k++2dd96htbWVtLQ0NmzYwJEjR/D5fBiNRvbt28eFCxfo6OggJSWFffv2UVtbS3NzM0lJSdx111289957dHZ2UlBQgN/v58iRI/T19ZGfn8+uXbuoqqrCbrcTCoXwer04nU4KCwt57bXXREUyMTGRiooKCgoKmJ6epqWlBYfDQW5urki+kK5Peno6BQUFYqJaqVTi8/nweDzEx8dTV1dHTEyMmAwFsFqt7N27V6Q3zM7OYjabsVqtQsgvDTyMjY0J/Ze0h8LhMGazmb6+Ps6cOYPJZKKlpYW1a9fS0NBAeno6+/fvjxKyKP7LEb2TRbFsSML9X/7ylwwPD7N+/Xr0er0wkpTaVR6PR+g8lkIoFKK/vx+5XE5iYiIxMTFUVFSQlpaGTqdblADExcVRXFws3mRDoZBot0WxNObm5rh06RKVlZXs3r2b9957j7a2NmQyGXv37mXz5s0RIeUymYx9+/Zxyy23fODIm0AggNvtXtZjpaqqVOGC65W8QCAgXNsBYXorQaqi2Gw20eqUjjc3N8fk5CRTU1PivP1+f4Q+bL6lhoTF1ujo6BCTiWq1Gp/PR1xcHB/72McWfAi42RqS99tSlavk5GTuuece/uqv/oqBgQH+5//8n8LT7F//9V+xWCzcf//9i1aBR0ZGUKlUWK1WgsEgPT09PPjgg7z88su0tLTwxhtvsHLlSmpraykvL+ftt9/mkUceITY2FqVSSU5ODvX19fh8PrRarYiHOnnyJLt27YpYS6fTkZGRwdDQkNgzer1eeJfJ5XLGx8eFP19KSoogTIFAgMnJSfLz8xkaGiI3Nxe3201KSgput1tYUSQmJhIMBiPsMuLi4iJ0pAkJCUtqS1NTU8VrIyVdZGRkUFhYSHt7O0NDQyQmJlJYWMjAwABpaWmMjo6SkJCw6GsTRRS/T0QJWRTLhl6v58CBA8KaQLKpsNvtpKamotVqKSgo4Pz589TV1XH77bcvWr0KhUL09vZy7tw5EQsktTClNoWE+dqYG9syi1U6olgIlUrFbbfdxq9//WvOnz+PUqlk//79JCQkiHidG6FWqz+Uya/f7xc35fdrnUktpfktx6SkJKanp6mtrWX9+vUkJCSQlpYmROwAfX19BINB8vPzhcedBIkIzd8Xk5OTjI+Pi+9NJtOCashia2RlZZGeno7X66W9vR2dTkdJScmie+5ma7S3t+P3+0lPT1/0mjz44IP89V//tTBx/eY3v8ljjz2GzWbDbrfz7W9/m5SUFHbs2BHRFg2Hw2zYsIGWlhaOHDnCwYMHRWVPqhxL/7Zu3YrZbEYmkwl/rlAohMfjwe1243K5mJiY4MyZM+Tk5AgZgdPpZHJykomJCWJjYyMmKCXIZDLhV1dVVRVR3ZY8zVauXCnOWdKISSJ/mUxGWVkZLpdLmAbLZDKGh4f5wQ9+wLVr1zCZTPzTP/1TBJG+8Vq2t7fz3HPP8cgjj0SkZhiNRmJiYigpKeHatWvI5XIqKys5ffo0ZWVlwpokiij+qxHdhVEsG3K5HKvVSmZmJkNDQ4yMjDA8PMzMzIxoJ6xdu5aLFy/y+uuvo1AoKC0tFS2p2dlZhoaGuHbtGkePHmVgYEBkLi4Ft9tNV1cXFRUV0TH0D4lwOEx5eTl5eXlcu3aNzMxMkpKSlnUTCgaDDA0NicoJIKYYF/v/kgO6z+d73ym1QCBAV1eX+F6tVpOfn8/c3Bx9fX3iJm42m8nOzsZmswEwODiIw+EgPT2drVu3Rkz0Wa1WrFar0ENJQevDw8NiHYvFssDwdrE1fD6fGEKQjEcXS4e42RqSbs7r9S55HaQPM3D9b2zfvn0MDg7yj//4j0xNTdHf38/f//3fk5CQIIT0Ejo7OxkdHaWsrAyNRkMoFOLdd9+lqKiIsrIy5ubmuHLlCkqlkri4OHbv3s3x48dJSkpi9+7ddHR0oFQq6ezsZNWqVSJPdcuWLXg8HvH6dHZ2kpqa+pHd6+d/sLrxOhoMBrZs2SL0eyaTibvvvptf/vKXEQkKS2FiYoLa2lruvffeiJ9/7GMfE3vk0KFDhEIhVCqVMLhdv359NNcyij8IRAlZFMvC2NgYTqeTxsZGgsEg3d3drF69Gr1eL1qZcrmc8vJy9u3bx+uvv85zzz1HYmIi4+PjzM3N8cwzzxAKhXA4HHi9XnJycjh48OCi2o1wOMzs7Cznzp3j8OHDfOELX8BoNGKxWPB4PIyOjhIKhbBYLOh0OgKBgLAuSExMxGg0RluZXCdU7e3t9PX1UVVVRXt7O0qlUtygpaqE5N2k0+mYnp5GLpczMzPD3NwcjY2NJCQkUFhYiF6vp76+Hr1eT2lp6aI36CtXrmCz2cjMzLwpiZZeXwnSMaVqkgSTycSmTZt47733RKvy9OnTfPzjH48gfXK5XFRkJMzNzVFbWyuqVxqNhjVr1ixop99sDWnSbyncbA3JzmFiYiKijboUZDIZer2eRx55BJfLxXe/+118Ph+NjY08/vjjPP300+Tl5YnEhttvv138X4fDQXFxMX/2Z38mCOn69etZv369eMzatWsjSN3+/fvZv3+/+F5KF5Bwo48XXP/bnJycxO12k5qais/no6+vj4yMDPR6PTabjZiYGMxmM16vF5vNhtfrRa/Xk5ycLPaMpPlKSEhgamqKqakpVCoVFosFtVqNVqulqqqKjo4Ojh8/vuh5SPYiUsbsYpg/SDJ/cCFKwqL4Q0OUkEWxLGi1WjQaDRMTE6xcuRK/349Op6OgoCAiskStVrN7925MJhNvv/023d3dQoTd398PXDfCXLduHfv27aOwsBC5XL7oJNvIyAivvPIKzc3N/PznP6eqqoo9e/Zw+PBhLl68CEBZWRkPPfQQZ8+e5fDhw8Ks9tOf/jQpKSm/z0v0Bwm/3099fT29vb3CEqK2tpba2lqKioro7OxEq9UKorB27Vp+85vfoNPpGBkZYXp6mqSkJHp7e2lra6OiooILFy6QkJBASkpKhJeXhMuXL9PS0kJGRsZNCVl9fT0tLS3i+8LCQgoLC/H5fPh8PkGoJQf5f//3f2d8fJyJiQleffVVdu7c+b7an5GREV599VWxv5KSkti+ffuC8/rPWkOpVLJt2zYRAr9cxMXF8alPfYqenh5effVV5ubmOH36NP/0T//EE088sag9g8lk4t577/29EI133nmHt956iyeffJKGhgY+/vGP8/3vf599+/bx5JNPsmLFCu69915+8pOf8MYbbxAMBtFoNDzwwAPccccdaDQaRkZGeOyxx9i9ezdnzpxhZGQErVbLP//zP0e0HJdCf38/3/72t2lra8NkMokM2sUgTXMDom3r9XoJhUKkpqZGpQ9R/EEgSsiiWBYMBgM6nY577rmHlJQUiouLcbvdJCcnL2hd6XQ6tm7dSkVFBSMjIwwNDYmwbJPJREZGBunp6RFu2C6Xi97eXsxmszB1zM/P59ChQygUCp544gnkcjlXr17l1KlTfPWrX8VoNPKNb3yDxsZGXnrpJe69916qq6t58sknOX78OPfdd99/xaX6g4JWq6WkpEREU129epWNGzdy7tw5Ll26xObNm5HL5fzmN7+hsLBQWJlI7bl169YxNTVFTk4O4+PjBAIBSktLycnJITMzc9E2ktvt5umnnyY/P18Q9vkIh8P09vby9NNPixahUqnkjjvuwGw2C2d7ycdLJpOxYcMGbrvtNg4fPkwwGOTo0aM8++yzPProoyLL8sY17HY73/nOd6ivrweuTz7eddddlJSULDjn/6w1pIzRDwrJp+9v/uZvmJmZ4ejRowQCAQ4fPkx8fDzf+MY3iIuLizgnKW3C4/Fgs9lEKLmk1ZOyK+fm5rDb7SgUCpKSkkS1Sy6XY7FY3pc4SscZGRnB6/Vy+fJlkpOTuXz5Mjt37qS3t5dt27bx5ptv8sILL/C1r32NwsJCLl68yHe/+12SkpLYunUroVCI4eFh3nzzTT73uc9hsVjwer2Lkvwb4fV6eeaZZxgeHuZ73/seAN/73veW9HtzOBzU19fjcrlISkoiGAwSCoWw2Wxs27ZtSX1fFFH8PhElZFEsGx6Ph1/84hesXLkSo9HIiRMnqK6uZt26dcD11o3L5cJkMgmxuEQE5mdCLpYN2dbWxpUrV/D5fKSkpFBdXb2os/f4+DhqtZq0tDS0Wi0mk4mrV68yPT1NUVERcXFxZGdni5DoKH7rBJ+enk5MTIyYpLRYLMLLaeXKlXR1dXH27FncbjdKpZL4+HhROZC8yKTImoaGBhISEpYU/p85c4YvfOELfP7zn2fDhg2C0Pj9fhoaGvj+97/P8ePHhfdWZWUld9xxByqViunpaTFtK0Gv1/PJT36SpqYm2tvb8Xg8PPnkkzgcDu677z6RrRgOh/H5fDQ1NfHcc8/xwgsv4PV6hXD8oYceWjL54fexxgeBTCYjLy+Pb37zmwwODnL58mXcbjfPPfccubm5PPTQQ4vq9Orq6jh58iR5eXns2LGD5uZmOjs7cblc7N27l4GBAQYHB3G5XOzYsYM333wTo9GI3W7n/vvvj7CcWApWqxWFQsHQ0BCdnZ1s3bqVvr4+RkZG8Pv95OXl8e1vf1uQXI1GQ0pKCq+99hpvvfUWW7duBa7vq40bN7Jp06ZFTW2XgtPp5MKFC9xzzz0iR3fv3r1cvnx50cfrdDoSEhJISEhArVYTDAaJiYkRkocoovhDQJSQRbFszM3NiQgkyari8uXLgpA5nU6eeuopYmJiSE9PJzs7G6vVitFoRK/Xo9PpFhVFA5SXl5OVlUUwGBRmjVLLZ25uDq/Xi0qlIiEhAb/fj81mw2g0MjExQV5eHnFxcVy7do24uDgGBwcXTGv+v4zc3Fz2799PfHw86enpxMXFsXPnTlQqFU6nU1RGJOI8MTFBS0uLiALasWMH6enpZGZmolAoCIVCjI+PL0o6srOz2bVrF88//zzHjx/n8uXLZGdnk5aWhlqtZmxsjK6uLoaHh0V1LT09nc997nNkZ2eLMOzc3NwFAvBVq1bxd3/3d3zlK1+hq6sLp9PJ008/zSuvvEJWVhZJSUmEw2FGR0fp7e0Va8hkMoqKinj88cdvalj8+1jjg0Iul1NVVcU//MM/8KUvfYmOjg4mJyf553/+Z4xGIwcPHlxQoc7JyaG7u5uZmRncbjfnz5/H6/USExPDyMgIZ8+eFSJ3l8uFWq3mzjvv5MSJE4yPjy+LkKWmpmI0Gqmvr8dms/HAAw/w4x//mLq6OrRaLenp6YyNjbFixQrhmh8bG0t8fDyjo6PiOEqlkrS0tCWF/kvB5/MxMTFBUlJSRFC6VI2UrDakap9araaqqmpBRfGDrBlFFP/ZiBKyKJYNyWdsYGCA/v7+Be0NyXPo2rVrtLa2ism3hIQE0tPTxT+LxUJaWlqE8D4uLk54D80Xg0sZgt/61rfYuHEjt9xyC6tXr+Y73/kOMpmMrKwsqqurmZyc5LnnniM+Ph6v18sDDzzwe746f7jQaDTk5+cv+BkQITKXBPE+n4+ZmRmcTidr1qwhOzt7QdtN+n83tizXrVvH17/+dWJjY/nBD37A2NiYyKdcrAKSkpLC17/+de644w6xFySC0dHRwdTUlMhJlSYDZTIZf//3f09zczNzc3Ncu3aNa9euiT0zfw0p7PqJJ55g06ZN7zvoERMTw969e/9T1/igUCgUbNu2jf/1v/4Xjz32GE6nk8HBQb71rW+RnZ0tQr2l83K73chkMvr6+picnKS6upre3l7i4uIoLy9ndnYWm80mMjBbW1uF2fJyK1QKhYKsrCxqa2tRq9XU1NTwwgsv8M4775CRkYFSqRTB6n6/X7RSpSxOCdJ7xAeFSqVCr9dHWI3Mzs6KiW6n00lXV5eo8krvU36/H5lMJqr3UTIWxR8SooQsimVDr9fz8Y9/XEwz9fb2RkzDmc1mvvjFLzI1NcXo6Ch9fX0MDg5it9vp7+/n6tWrQtyr1+tJSEggKyuL0tLSCGf1+W+SqampfP3rX8dut5OUlIROp+MTn/iECEOWnNpvu+02CgoKmJ2dxWKxfCgPrSiuQ61WLxoyvRhkMhlJSUlUV1cD19tGZrOZL3/5y1RVVfFv//ZvtLe3Mzk5KbINpVbzmjVr+Mu//Es2b968aOutv78fh8MhEiCkm+vu3bspLCzk+eef54033mB4eJjp6Wlxs9VoNBgMBjIyMjhw4AB33303ubm5grSMj49TX1/P7OwsarVamBN7PB7sdjsmk4mdO3d+pDXgug3D7OysMJadnZ1Fr9fj8XiEkFyaLBwfHxeGqA6HA4PBgFqtxul0Yjab0ev13HXXXYyOjgqRv0wm4xe/+AUFBQXCS256ehqNRkNJSQllZWUoFAo2b96Mw+EgLy+PxsZGsrOzycvLE8fYt28fRqORW265hampKRoaGsREbTAYZGxsDLfbLdp7UuWyoKCAV199lQMHDqDVasnJyeGll17is5/9LAqFgn379vHUU09x+vRpVqxYQUNDA9euXeP+++9/330lmfxKJC4QCOByuQiHw2i1WsxmMzU1Nbz55pts2bIFpVLJsWPHmJycBK5X3lQqFS6XC5VKRWpqqpieVSqVwuU/iij+kCD7MAHCUfxO8Ed34X0+H++88w6NjY3ExMRwzz33iNbSfNy4p9xuNzabjdHRUWF2abPZ6OnpweFwUF5ezt/+7d9+pHOrr6+nr6+PHTt2RLh8R/FbhEIhUdGS9GAQab47X+u3HLzf+8f09DSNjY2i/SeXy0lKSqK4uFh4Z82vOknHu1m1RjpP6Qbb1NREb2+vsOswGo3k5eVRVlYmJiTnPx/J6FUaXggEAuTn54uhhcTERDGhu9gawWAQnU5HXl4elZWVJCUl4fV6mZiYwGg0otFoUKvV/OIXv8But4uhCClIXKFQMDMzQ3p6OuPj4yiVSrRaLTqdDpPJRH19Pfv372d2dpba2lruuusuMjMzI67Hjca70te/+tWvcDgcaDQaSktL6enpYdu2bXz/+99n165dNDc3o1KpRJ6jTCbD6XSyYcMGurq68Hg8uFwu7rjjDiwWC4ODgzzxxBN0d3fz+c9/nj179ogKZn19vZiqvPfee3n55Zd59NFHee2119i0aRPT09P88Ic/5De/+Y04xz//8z/n0KFD6HQ6ent7+eQnP8kjjzzC3XffHfEaBwIBjh49yosvvsi1a9fo7u5m06ZNWK1WPvnJT5Kfn09nZyePP/443d3dIoz94sWLfOc736GiouJ9dm60VbkMRC/Q7xnRClkUy4bb7aalpUUEONtstkWF9/NvsIFAAL/fj0KhQK1WCw8jyVBWoVCgUqkYHBwUFYuMjAymp6ex2WxotVrS0tJwuVyicmA2mxkbG8Pr9RIbG4vFYsFoNPLOO++wfv16YmNjsdvtOBwOMQ4fBbS0tPD444/j8/nYvHkzn/vc59Dr9bS2tjI6OkpVVRVDQ0OUlpYu27nc7XbjdDpFa/lGSGafW7Zsifi5zWajq6uL4uJisVY4HKa2thaVSsWqVatuesOUSGNqauqCiJ/3g0ajobKycsHx5ttbzNc03bhGfX290GhdunSJqakp5HI5CQkJ+Hw+ysvLxQRqZmYmjY2NuN1urFYr58+fp6amht7eXux2O0ajUQw8FBUV0dXVRWZmpgjSluxHpDZ+MBikr69PGDFPT09H5HlKlaTY2Fh0Oh1TU1PIZDKsVitJSUkYDAZqamr42c9+hslkwmw209HRwcDAADabjZycHHQ6ndAHer1eURmcnZ2NCEAvLS3lrbfewmq1IpfL2b17N6dOnSIuLo7e3l7m5ua45557xLXOz88nPT1dvA+kpKTwv//3/yY+Pl5Y48hkMkKhEDExMaxatWrBxKVMJkOtVouW6xe/+EVGR0fR6/WkpaWxf/9+NBrNsoyJo4jiDw1RQhbFsiGJvwG6u7sjQqHhtwRsenqaoaEh+vv7GRwcFK7+k5OTwrk8IyND3LgSEhL48Y9/LKYjDxw4QF1dnRhL37dvH2fOnCEuLo7x8XE2bdrEL37xCyorK+nt7eXhhx/GaDSKaamZmRlefPFFTCYTdrudRx55JFo147rGpq2tDa/XS3Z2Nna7nTfeeIOxsTFSU1NpbW0Vladz586J4YqMjAzq6+tFEkNLSwtjY2MUFRVx6dIlWlpaOHToEBqNhubmZlJTU0WEllarpbKykpiYGE6fPo1Op6OyspKOjg6hHero6KCpqQmLxcLk5CQKhYJz587hcrmYm5sjEAiQmZmJ3++nr6+P8vJynE4nIyMjmM1mtmzZgkajob+/n8TERLEvJesOqS15Y8XtRsK33IpJRkYGBoOBmZkZkd0aFxeH1+tFoVAIIlBZWYlSqSQlJQWdTofdbufgwYMYDAasVisGg4GhoSGSkpJQqVSYzWZBJmw2m7B+me+n5/P5OHfuHCqVCrfbTTgcJjk5WaxZU1MTIcpPS0vD7/dTXV3N+Pg4xcXFGI1Gdu/eDVyvYB48eJCenh4KCgooKCigp6eHmZkZ4uLisFqtfPazn8XhcLB+/XoxZQoIt3tpz8TFxVFRUcFrr72Gy+XC5XKRmZmJ3W5n9erVZGdni6psKBSio6ODYDDIlStXhF+hRqMhNjaWqqoqUlNTF3yYmp6e5vjx49hsNjGRK6VGdHV1odVqaWtr484774wSsij+6BAlZFEsG3q9ng0bNjAyMkIoFCInJyfi9xMTEzz33HPiDV2acpLe2HNycsjJyRGTfjqdDo1Gw+TkJCdPnmTbtm28/fbb9Pb20tzcjMViQaFQMDo6SjAYZN++ffzqV79ieHgYg8HA3r17+clPfiJ0NhIcDgeXLl1i5cqVKBQKEQodRSQuX74sbugSUb5y5Qpr166lrq6OyspKcnJyOH/+PDabjVAohNvtZmRkhDvuuAODwcDIyAi5ubmYzWZOnjxJfn4+ra2tTE1N0drayv3334/JZKKrq4vu7m4OHTqEyWRCo9HQ2dlJZWUlJ06cYNWqVWRmZnLx4kWOHTvGrbfeis1mw+12ExMTIwyJ5XI5p0+fxuPxUF1dTXt7O0VFRVitVi5fviwqQk6nE5VKRWFhITU1NSIcvLGxkVAoRHV1dYSD+wdBSkoKKSkpixK8+T8rLCwErk+5hsNhiouLxeMkSMMW8ycF5x/jxmlhjUbD/v37hc9YSkpKxLRrVlZWRFqBdA6Sxkxap7KyMmIgqmPdAAAgAElEQVSd7Oxs8fv5BFClUrFhwwYAMdwQDofF9QwEAsJCQq/Xk56eLlq+2dnZIs5J0p5JCAQCDA8PExsbi9/vF07+NpstImz+Ruj1erZu3UogEIiYkpQqdxJh/F3YjkQRxe8bUUIWxbLh8Xh47bXXhCGl1GaY//vGxkZmZ2fJyMhgzZo1FBYWijfppSwv4Pon31//+tfMzMywZcsW3G43ExMTGAwGKioqGBoa4qWXXsLn81FdXc3Jkyd58cUX8fl8mM1mzpw5w6VLl0hMTGTbtm2sXbtWhFUbjcbfx+X5L0coFCIUCi0Y51/qmktEVYpJkm6ec3NzxMTEkJOTQ0JCAm63m9nZWYqKioiPj8dutwuLAbPZjN1uR6vVEgwGMZlMQpeVlJQUQShSUlLIzMwkFAqh0WiEn1cgEMBsNmMwGES1xe/3o1QqBXnr7u7m7NmzqNVqYXeQnZ1NT0+PENqXlpbi8/lQKpUEAgFmZ2dJS0sTN+n+/n6+/vWvo9Pp+MEPfhAxkDIfw8PDjI2NUVpayunTp7FYLLS0tIjK3+nTp1EoFNx6662cOXMGhUJBTk4OpaWlN7XUWO7Pb1apk8vlGAwGDAbDko/5qOss9fPZ2VmOHTuGQqEgMzOT6elpfD4fWVlZuN1uEWUmEbibQaVSsWvXrgVTq0NDQwSDwSX1g5JGMIoo/hQRJWRRLBuhUIipqSm0Wq3wFpoPaXppeHgYp9PJmTNnaG1tJTMzk6ysLDIyMjCbzaK9OP//JyQksH79+ohP2C6XS7j7HzhwQKw9NzdHcnIyubm5jI+PMzU1RWpqKvv27UOhUNDa2sqqVasYGhpCq9XicrlITEz8kxfxTkxMMDAwgF6vx+/3A9cnJnNycha1YiguLubUqVOo1WqsVqvQknV0dJCZmYlGoxEVklOnTuH1eikvL2d0dJSXX36ZNWvWYLFYOH/+PNeuXaOkpITTp0+TmJgoTFQlxMbGkpaWRjgcZmpqivfee4/e3l4yMjIoKSnh6NGj5ObmYjKZ+NjHPsbExATT09Okp6eL40gt75ycHIxGo/C7kvaSVOWByEEFuL53pRb6+/lsGQwGjhw5Iqqzra2txMXFUVtbi8lkwmQy0dbWRltbG/X19fzFX/xFRIVWgs/nw263C+sHuE5E4uPjSUhIiEiquBFS+99ms+F0OvH5fMTExBAfHy9aoEvB4XDQ09MjAtNlMhkTExOMjo4KR34pV9JgMCzYG1K6xo2WJhaLhfXr15ORkUFMTAyhUEhYSgQCgYgPA+FwGJfLJSY04bo5a2pqKvHx8QvWlK6DFObu9XoZHh7G5XLh8/mEdiw+Pp7ExES0Wu2f/N9zFP/vIUrIolg2pJucwWBApVItEH6bzWY+//nPMzIyIowz+/r6qKur491330WhUGA2m0lJSSEjIwOr1Up2djbx8fHcfvvtQlAM11sT84OA4+PjhfeV2+3mlltuweFwIJPJsNlsuFwuDAYD3d3dhMNhKisrGRkZQaPRkJqaitls/pPPq/P7/djtdnp7e5mZmRGi8htbyxIyMzP51Kc+tejvVq1aJb7Oy8uLGN64McD7s5/9rPi6pqZGfF1UVCS+ltrVLpeLhoYGVq1aRXJyMsPDw8jlckpKSqiqqsJgMHygG+1SMTs3HsPv99Pc3LxkAPV8xMbGYrVaeffdd1m/fj3Hjx8XQdd9fX309fUxMzMjhkrmE0H4Lfl7+eWXaW5uZnh4OIKUJCUlkZWVxZ133sm6desWkJNQKMTIyAivv/46Z8+eZWhoCI/HI/Ro5eXl3HPPPaxYsWLR4YvGxkaeeOIJbrnlFr70pS9x6dIlfvWrXwn7Eblcjslk4vbbb+eBBx5Y0M4/deoUP/nJT4SIXyJm3/jGN9izZ8/7/h3NzMzw7rvvcvToUTo7O5mamiIcDhMfH8+KFSvYsWMH27Zti5iwnf/ce3p6ePnll7l06RIjIyN4PB5kMpm4dtnZ2dx9992sXr06Ssqi+JNClJBFsWyo1WqKi4uZm5vD5/NFTFzBdbPIxMREEhMTRfvI4/EwOTlJX18fvb29DA0N4XK5GBgYECRt5cqV/Pf//t+XfR46nY6amhpmZ2eFoFfyVJLG3fV6PStWrBBZgr9rs84/RJjNZtauXRtRqVAqlR+4LfafCalNKdk2SMQ7Li5u0bzI3xXcbjeNjY3LfnxOTg5NTU3C1qW5uRm/34/BYCAQCJCcnEx8fDyZmZkiDF2tVos0gu9973tcuHABo9HIihUr0Gq1YuDFZrNx9uxZbr311gXrhsNhBgcHeeqpp6ivr8dgMJCfn49Op8Pn8zE0NMSRI0fo7u7mM5/5zE2nUaempjh27BjPP/88gUBAtIwlv7VQKLRobuXq1auJiYnB5XIxOjrKu+++K/y93g8+n4/Dhw/z85//nGAwSFZWFgUFBcBv8yQlYnjXXXct0PENDg7yf//v/6WhoQGz2UxhYaG4dlNTU4yNjXH69Gluv/32ZZ1PFFH8MSFKyKJYNrRaLQcOHKCtrQ2FQnHTeCIp6DgmJgatVktCQgJFRUWMjIzQ1dVFR0cH165dw263izimGxEIBMSNIBQKCasD6aY+3/dJLpeLeJhwOEwwGPzAOps/dqhUqmUHWUtVjomJCZqbm6mvr2d8fBy5XE5aWhpr165lxYoVyyZJUuSVNHVpt9uFNqyoqIiVK1disVgwmUxiwk8yk5Uwv704OztLZ2cnLS0toiIF18m4xWIhLy+PoqIiEhISFq20uN1u+vr66Orqore3l/b2dkHI+vv7eeKJJxZt+yUlJXHo0CEuXLjAmjVrMBqNVFdXU11dTVtbGy0tLVRVVTE5OcnQ0BAymYympiaCwSDZ/39E1MWLF2loaCAlJYUvfvGLVFVVCY2d1FYeHBxclEx5vV5++tOfcvbsWdasWcPDDz9Mfn4+er0en89He3s7zz33HOfPn+enP/2piHNaDB0dHfT397Ny5Up2796N1WolNjaWmZkZBgYGSEpKQq1W4/F4UKlUYk/k5+eLYYOBgQFBoJazB06dOsXzzz+PRqMRpr8mk0n4ub3yyiscPnyYn/3sZ2RmZrJ58+aIY1y4cIHm5mbS09N57LHHhFddMBgUH+QGBwepqqp63/OJIoo/NkQJWRQfCFNTU/T39xMfH7/AnDIcDouK2NTUlNCQDA0NMTw8jMPhwOfzCdG4pCsqLS1ddK3R0VGuXLmCw+Fgbm4Ok8kkNDgdHR3iJl1SUkJaWhrnz59Hp9MxNzfHjh07PvQU3f8LUCqVdHd389xzz3H27FkmJyfFkIZarSYhIYHdu3fz8MMPk5KSclNS5vf7xY340qVLzMzMMDc3RzgcJiYmBp1OR25uLn/+53/Orl27bjoBFw6HaW9v52c/+xknTpxgcnISn88XYWirUqnQarWkpKTwZ3/2Z9x3330LyNWpU6d48sknsdvteL1eUZWD6yT0yJEji64vhXbv3LlTDK/Mv2bJycmEQiEcDgepqaliEMFoNIrHTk5OEggERDtTOreYmBgR2VNRUbGoAe+VK1eoq6vDaDRy//33U1lZKR6j0WioqKjgnnvu4dKlS1y+fJn29vYl9ZFOp5PNmzfzyU9+ksHBQUZHR0lPTycYDAr9XWdnJ/X19axatQq/309GRsaHFs1PTEzw5ptv4vF4uPvuu9m9e3eE9URaWhoHDx6kubmZ5uZmTp48yYYNGyJaoFNTU+LDVHZ2tvgblgZ0EhMTqaysRC6XR9uVUfzJIUrIovhAMBgMxMXFLRD8ArhcLn7yk58wPDzM5OSkcE5XqVRoNBqSk5OxWq1kZGQIXZckbr4Rly5dQqfTUVRUhN/vF2P1kg2CZA+g1WpFFWfDhg3IZDIaGhoizk8SRP9XacgCgQCnTp2ioaEBhULBli1bqK6uZnR0lDfeeIORkREyMjI4ePAgs7OzwhusuLiY7du38+677zIxMcHg4CBarZY777wTi8XCe++9x/nz51GpVGzbto2ioiK6u7t58803mZmZobKykh07dixaNRsfH+db3/oWTU1NmM1miouL0Wq12O12RkdHGRwc5Nlnn8Vms/GVr3wlIn9wPtxuN7/85S956qmnsNvt6HQ6YQshieLtdjuNjY10d3fT09PDZz7zmUXJcjgcpru7m8cff5yLFy+iUCgwmUzk5uZiMBiYm5tjfHyciYkJ3G43XV1djI+PL6qjSk5OZtOmTXg8HuC6runEiRPMzs5iNpvZtGnTkhUyqX16IyQtnRTAbjKZFr0mBQUFxMfH09PTw49+9CPuvvtusrKyiI2NFURisb0YDAZpaGhgfHycsrIy4uLisNlsCx6n0WgwmUz09/dz7do11q5du+hrLJfL2bt3L4mJibS1tdHQ0MDOnTuJiYkRWsu+vj4cDgft7e2MjY2xZ8+eD03IRkdHaW5uRq/Xk5uby+Tk5ILKms/nIz09ncbGRnp7e5mcnIwYiJCqsh0dHfzoRz/izjvvxGq1otfrb3rtoojiTwFRQhbFB4ZUAbgRXq+Xq1evEhMTQ2pqKuXl5aSlpWG1WoX3mFqtRqlUolAobvoJd2xsDKvVGiEmXyycev7vTCYTwWAQi8UiPpmHQiEaGxspKCiIcGL/fcJms/HWW2+xb98+MZzg8Xh4+eWXUSgU3HXXXQSDQdRqNYcPHyYYDLJr1y5+/vOfYzKZuHr1KlevXuXRRx/l7NmzHDlyhK1bt3Ls2DFuu+02nE4nL7zwAp/5zGc4cuQIZrOZ2267DWBJ7dyFCxdQq9UcPHiQgwcPkp6ejlwuZ3Z2lpMnT/LDH/6QoaEh3n77bYqKinj00UcXvRGeO3eO73//+9jtdtLT03nwwQfZvn27EOdPT0/zzjvv8OyzzzIwMMCLL75IcXExu3btWkCk5ubmOHHiBPX19QDs3r2bT3ziE2RlZYlWtM/no7e3l/r6erq6uti+ffuiOqiKigoKCwvFfhkYGKChoUFknX7mM59ZdCBALpcvOcE430ZksalKCaWlpdx111289NJLHDt2jPr6esrLy9m4cSMlJSVkZmYuSiKlycJQKMTVq1d57LHHFn39pNYn/LaitBji4uJITU0VPl1ut5uZmRm0Wi2jo6OCeEmVu8HBQQYGBpa0A3k/DA8P4/F4CIfDPPXUU4u+LuFwWFS2vV4vbrc74lpWVVVx4MABfvnLX/LGG29QV1dHRUUFGzZsoLS0lLS0tGWnSEQRxR8bojs7ig+EmZkZ9Hr9ooTMZDLx2c9+lri4OIxGoxipX05rIRwOY7fbuXz5MkqlUlgczM7O0trayuTkJImJiRQXF4tMTMmpvKioiOTkZAYHB+nu7gauG2KmpKTQ2NhIU1MTIyMjxMfHU1NT83s3jTQYDFgsFo4fP86WLVvIyclhcnKS3t5eHn30UWHDEAqFOHnyJLGxsfT39zMyMkJfXx9yuZyamhoqKytxu928/fbbdHZ2Ultbi9frFS20mZkZ8vPzOXHiBAqFgq1bty5JyHw+H3feeSdf/epXI65HYmIi9913H1qtlm9961u4XC5ee+019uzZs2Ca0OFw8Oyzzwq3+b/+679mz549ETfixMREHnzwQeLj4/na177G+Pg4P/vZz1i1atWCqpvX6+XKlSsEg0GSkpK4//77F52kS09PZ+PGjczMzAiyMZ+sy2Qy4dIvDXRIFRa4rp+LjY1d0ixYGlpZzJYiEAjgdDoxGAxLOsHHxsZy3333UVpayvHjx6mrq+PMmTO8++67pKens2HDBvbu3UtOTk4EyZW80+A6SZK0kYtBqirfbCpV+vAjk8morKykpKREBLyvXbuWjIwMRkdHyc7OFhFOS1VCl4Pp6WngOqlVq9VL6hml6qgUsD4fBoOBBx54gPLyco4fP059fT0nT57kxIkTWK1WNm7cyN69e8nMzIxWyqL4k0OUkEXxgaDT6aiuriYYDC64EWg0GsrLyz+UtmNubo5Lly5hNpsxm8309PQQCoW4cuUKfr+fsrIyWltb6enpwefz0dnZyS233ILdbqelpYWVK1fS1NQkolyampq49dZbWbFiBX19fVRVVZGUlIRWqxUeT1JlYWZmBrVajVar/U/59K3X63nooYe4fPkyv/nNbxgZGVl0wg6uVzUOHDhAUVERMpmMuLg4fvrTn4q27Pxg7dLSUh566CF0Oh0xMTGYzWYyMzPJzMzk+PHj/PjHP+YLX/jCoi1htVrNnXfeuejvlEol27dv55VXXuHs2bP09PTQ2tpKVlZWhJGnJOAPh8OsWbOGW2+9ddGqiFwuZ926dRQVFdHU1MTly5fp6upacPOXiBQghjYkr6vFIJfLaWtrQ6vVRpjBBoNBgsEgc3Nz1NTUfGAt4ejoKLW1tdx5550Lns/s7CzPPPMMO3fuZPXq1UseQ6PRsGbNGsrKyujv76euro4LFy7Q3t7OSy+9RFNTE4899hglJSXimkokEq5POn76059+34QJKch8MUjHlcglXCd9Xq9X6M4kUuh2u9HpdItqQ5cLiYCZzWa+9rWvLZpzOx8KhWLR56fValm/fj1VVVX09PRQW1tLXV0d7e3tvPDCCzQ1NfGlL32JgoKCqI4sij8pRAlZFB8I0mj/Yvgob47SWPvq1asxGAwik3BsbIxVq1aRmpoqMjINBgPp6elYLBbUajX9/f3Y7XYx+SmXy+no6MDhcJCcnIxSqVwQmHzkyBGmp6cxGo1MTU2RkJDAypUrI2JjfldwuVx0dHRgMBjIzMzE6XQSHx9PXl4eb731Fm63m2AwSElJCTU1NVy8eBGz2czMzAwlJSULjieTycjNzeXMmTN0dnZisVgIh8MYDAba2tqQyWQUFhZy8uTJJdtZVqtVBFYvhri4ONatW8fZs2fxeDx0dHQI7yi4fpO/dOmS0AgtpcmSztdsNpOfn09TUxNer5fLly8vmLDTaDRUV1fz61//mqmpKZ566ikcDgebN28mMTERlUoVcb5yuZy5uTl6e3sJBAKUlJQwNDSE1+slHA5/oCzDo0ePEhMTw/T0NEqlksbGRsbGxigpKUGj0dDa2orFYmHr1q1iAtHtdnPkyBEmJiZYs2YN5eXlEceUKnPFxcUUFRWxd+9empqa+NGPfsSVK1c4fPgwX/3qVwWRUavVIsbK4XCI4YqPgpmZGerr64UpbElJCdPT08IaRRp4yMjIYGhoiMzMTMrLyz9U9Sk1NZWYmJiIVuSHfU+Qrl1ZWRmlpaXs37+fixcv8swzz9Dc3MzLL7/MV77ylQ917Cii+ENFlJBF8ZEgVWsA4Us2P0BY+n7+p+4bP4HfOKk5/+fzW1Hzf3fjzXl+5ejGx974vVwuJzMzU0x76vX634lFhsfjEV5VLpeL2NhYcbPt6upieHiYpKQkbrvtNrRaLffccw9Hjx7l6NGjWK1WiouL2bdvH8eOHePYsWOYTCaKioooKSkRprjJycmsXLmS7Oxs7r33Xs6cOUN7eztVVVXIZDJcLheNjY0olUruvffeRStg0nFu5vauUCgiDGAHBwfx+/2C5Hi9XtEehusWC4cPH17yBhwMBhkaGgKu7wu73b7gMTExMWzdupXNmzdz6tQprly5whNPPEFpaSlbtmxh/fr1FBUVieekVquprq4WuYwqlYoVK1ZE7IHlkrKRkRHkcjmtra3CS2/nzp288MILJCUlceutt3LixIkIi5bu7m6amprIy8vjwoULCwjZfMhkMhITE7n11lvp7OzkP/7jP+jq6iIQCIg9olQqKS4uRq/Xc+3aNa5evfqRWojw2/ahdJysrCzGxsYYGRkRH1CSkpLQ6XTodDrh5P9hYLFYyMrKoquri7q6Ompqam66x5YLmUxGUlISt99+O1evXuXFF1+ks7PzptXTKKL4Y0SUkEXxkSC1lqQIFalVJEWbhMNh5ubmUKvVeL1etFotfr9f6H40Gg06nQ6lUonZbObq1askJCTgdDrJy8sjIyODzs5O5ubm6OvrIzs7W7iez4fZbEYul9PZ2Uk4HEYul5OcnCzsNQYGBpDJZCKDUfLAutmgwI2ora1leHgYq9WK3+/H4XBQUFBAa2uraCl2dHSwfft2Tpw4QVZWFomJiaSnp1NcXMzdd98dcYNKSUnh/vvvj1hDp9PxsY99LOJn27ZtY2JiApvNRnZ2Nnl5eQQCAXJzcxdUM7Zv38727dvf97no9fpF24sS5HK5IIFwXR80v9oWCARwuVzi+5/+9Kfvu6aEcDi86Gsok8lIT0/nm9/8Ji+//DKvvfYaIyMj1NXVcfHiRVJSUigqKmLPnj1s3ryZ5OTkBTqlD9tyTkxMpLOzE4PBIOwfzGaz2EuSPmpubo6JiQlcLpeovqakpAjyKrVytVqtIL3SdZ5vbhoKhcSenf/8161bR0VFBefPn+fZZ59Fr9dTUFAg4qGklqN0DlIFbynodDpR0ZPWkKZqbyTPUsX0w1a1kpOT2bNnDz/84Q85evQoFotF2JxIUUs+nw+3283g4CBWq5Xk5GTx/yWpQVxcHImJiQuu3eTkpAhVT0hIiLYro/iTQ5SQRfGRoFAohPhZcsxXqVQolcoIs1Ypiy4mJoZgMIhKpcLj8YgqWkxMDJWVlbS2tuJyuSgvL8dsNpOVlUVHRwd9fX1kZGQI8X5SUhIymQytViuyDVevXk1nZycymYzVq1eLm3VFRQUdHR10dHRQWloqWimhUAiPx3NT8fR8SC2sc+fOodPpWL16tUge8Hq9ZGRkkJ+fT25uLs3NzZSWlhIKhThy5IhopX4YhMNhWlpaaGxs5BOf+ARmsxm/38/AwAB5eXkfqkqwnGEL6TGS0e584hoKhUQ+o1TBWKqVvdhxl7KMkDIpP/e5z3Hbbbdx7NgxTp06RUdHh4jkqquro7KykocffpgtW7b8TnR/ZWVlKJVK4uLihOZKrVazYcMGkpKSaG1tpaSkRBBqh8NBcXEx69evx+FwiH0cDod55ZVXqK+vp6SkhKysLBHbNTk5SWtrKxcvXkStVi86IRofH88DDzzAyMgIV69e5W/+5m+orKzEarWiUCiYmZlhZGSEzs5OrFYrf/u3f/u+VUDpdZ6ZmcHhcKDT6UhMTFzwOJ1Ox/T0NK2trSJ9YGhoSExFtre3Ex8fL7Js4+LixHnB9b/hPXv20NnZyZEjR/jxj3/MuXPnKCwsJDY2Fr/fj81mo6enh4mJCb72ta9FELJQKMRLL71Ea2srpaWlZGVlibD6iYkJ8Teg1WrZvn17lJBF8SeHKCGL4iNBqVRG3FQ0Gg3T09P09fWhUqmEw7hCoUCj0RAXF4dGoyEcDkcElEu2FRs3blywRkVFhSAFAwMDWCwW4UulUqkoKysTZpLr1q0jFAoRCoVES9JgMLB69Wq8Xi+zs7N4vV6USmVETp9U2ZOE1ZJJqkQs4bpm6Ny5c6SmpoobUk5ODt3d3aSkpAiX9qGhIdLS0mhra6OyshKfz0diYmIEYXn11VdF3NOOHTs4e/Ysw8PDpKamotFoSEhI4OLFi6xatQqPx0NRURHXrl0TAwl1dXUMDAxgtVoZGRnhrbfeIiYmhpSUFDZu3MiRI0dwOp2oVCruu+++Ba1Ln8+36KTsfEgWBnD9Zj2fUEpEXPr6S1/6EpWVlTc9ntvtZmJiAq/XS3JyMj09PQSDQZHo4PF40Ol0JCcno1arWblyJWVlZXz84x+nra2NI0eOUFtby+joKOfOnaO/v58vf/nLIlT+oyAzM1OYCs/NzREMBrHb7eTn5zM5OUl1dTWhUIhAIMDOnTtxuVxoNBo2b968gIhaLBZkMhm1tbW8++67Yo9Jk5NWq5U77riD2267bdGQ7YqKCh5//HFeeuklLl68yNmzZ3nnnXcIh8Pi78hoNJKbm7vsZAa4/nq2t7cvqkuE62SyoaGB73znOwQCAQKBAH6/X3i5/frXv+bo0aMolUpiYmLIzs7mH//xH8U+kMlkGI1GPvWpT2G1Wnnrrbfo6OigublZDAGp1Wr0ej35+fkLrENkMhkWi4UrV65w7ty5CA2klPiRk5PDgQMH2Lp167KfdxRR/LEgSsii+J1jYGCArq4uVCoVfr8fi8VCIBBAJpOxdu1a4Pqb781aZovB7/eLQGefz4fNZsNgMBAbG4vH42F2dhalUonX60WhUAih+9TUlKiCeTweIZhWq9U4HA60Wi2zs7NMTEwIrzSXyyU8qSS/puTkZGGxAb+tIP23//bfhGFlRkYGMTExZGRkEAwGGR4eJiMjg5ycnIhP9DabjaqqKiorK4Wm5+DBg/zqV79ibm6O6elp2trahLP7fCgUClasWEFPTw+BQICZmRkCgQD79u3j9ddfx+FwMDw8LPzYFtPxOJ1OfD7fktc6GAwyNjYmvk9ISIh4vVQqlRiACAQC6HQ6CgoKbloFbGhoYGpqit7eXhHX09/fT39/P4WFhXR0dLBixQqRyADXCXFmZiYZGRls3ryZtrY2/u3f/o2jR48yODjIv//7v1NTU/ORtVazs7NcvHgRl8uF3+9ncnJSTI+2tLSgUCjIzc2lq6uLnJwcpqenGRgYYOPGjRGETCaT8YlPfIJNmzbR2dnJ+Pi4ILZSMkVZWZkwzl2syqNQKCguLubLX/6yiBkbHx9nbm4OvV5PSkoKhYWFZGRkLFqVtFqt3HvvvcJAVkJsbCy9vb1kZmYueR1SUlLEBLDNZsPv95OcnMzAwAAJCQnYbDZSU1Pp7+8nMTGR7u5u8vLyGB4eJiEhgdbWVqxWK+vWraOmpob+/n4Rrq5UKklMTCQ7O5uCgoIFE5YymYyHH36Ybdu20dXVhcPhEK3tuLg40tPTKSsrIzk5OerUH8WfJKKELIrfOXJycoS+R9KPSVWrDwuZTIZOp0Ov12M0GgkEAiiVShISEggGgyIaR2qRms1mnE4nbrdbZGlKHmrx8fFi0lEiGZJnk1QZ8Hg8aLXaiHOuqakR1ck6iVYAACAASURBVJz5mF+lmH+DlAw3N27cGKHHAsS5SykGoVCI0dFR5ubmKCkp4fTp06xZs4aOjg4OHTqE3W7H5XIxPj6OwWDA6XQyOTnJ+Pg4AEajEa1WK4ioFPSem5u7qI1BX18fTqdTVHNuhM/no7m5GbhOPPPy8iKem1arpaysDIVCQTAYpLa2lu3bt9/UYmLFihVkZmayceNGlEqliD+qqqpCo9FQUlKCXq9fcH0lXZNOp2PVqlWYTCbsdjvvvfceLS0tIsboZjfoGwdHbtQN6nQ61q5dK6qGHo+HsbExCgoKxHOXy+VUVFSgVquZmJjA6XRGkN2ZmRnGxsaIj48XwxgfFMFgkP/zf/4PqampHDp0iIqKCioqKpb9/yW/vk9/+tMLfjc+Pk5ycjJut3vRayWXyykuLqa4uBiAxsZGbDYbJSUl1NXVkZqayvnz50lNTSUpKYnc3Fz6+/uxWCxcunSJjIwMjh07xt69exkaGmLlypXs2rULp9PJ7Ows4+PjJCYmitzTiYkJrFZrhD0HQFFRkTD1lQi+ZIky/7ylKvj8fRkOh/H7/RGV7Sii+GNBlJBF8TuHRqMRgc/LFcx/GEhv0MFgMKINOV+YrFQq8Xg8OJ3OiDf1cDjM7Owss7OzTE9PCwNRn88n2qpqtTrihvthDGWX8pEqLi5GrVbjdruJjY2lpKSE8+fPk52dTWlpKTabjerqaoxGI4mJiXR0dBAbG8u1a9cwGo20tLTg9/sZGRkhJyeH0tJSNBoNlZWVOJ1ONBoNY2NjdHd3c+jQoQVxOBMTE5w7d27JHNG+vj7hmC9VBue3BRUKBStXriQzM5Pe3l5OnDjB/v37WbNmzZLXQq/XL2idSsHYH6TaYTabhct+IBBYFtGX9ItwvXUqGbBKkEj8fEhkYbF9LFmYzD/vkydP0trayvbt2zEajR+KEMhkMlasWPGhLSNeeeUVfD4ff/VXf7Xgd0lJSezcuXPZH4zy8vKw2+04HA6sVitjY2OsXLmSUCiExWLBarWKHM/8/Hzsdjt33HEHFouF2NhY4uPjCYVCnD17FplMxsTEBLOzs+J1MJlMZGRkiH01MDBAR0cHqampJCcn09vbK0jZihUrSEpKwul00tDQQGFhIR6PB5fLRVVVFZcuXUKhUJCSkkJHRwclJSWEQiGUSiUzMzOCOObm5kYnM6P4g0WUkEXxO8dSlhYfBZKexWAw4PV6kclk6PV6oW+Jj49HLpcLIiiFEUttx0AgIPIspcoVXA88VigUKBQKDAaDmBaVdG7LFYyPjIwsaBHdDD6fT2hkpPZdaWkp4+PjvPnmm6hUKhwOBzt37kQmk1FWVsbY2BgqlUrkPGZlZVFaWkpCQoJoQ61Zs4arV68il8sJBAJYrdYlq1Y///nPyc/PZ+3atYIoSTq9f/mXf2FgYAD5/8fem0e3fZ9X3h/sO0BwBQnu+2KSWqiFEiXZsi1ZiyXb8tiWG8dymtT11PGbiad10rxtJic56fRN0tPpZNJM7MRt0rTT1IniRaYky5K1WKslipYpkRRJcQH3BSBA7Nv7B/X7hhBJLW6SSWPcc3wsEMAPv438XjzPfe6Vy2loaBBGtRJkMhllZWVs27aNH/3oRwwODvL1r3+dL37xi9TV1YnrIW1T0o/19PQQi8XmtfpgliQePHiQ6upqbDYbFotFDIQAogJ64cIFQRYLCgpu6lYvQavVUlhYSG9vLw6Hg5MnT5KbmzuPIEr+XHNJ/alTp2hubk7QM+3Zs4eioiLxHsn2Q9K/DQ4O8tZbb+F2u9m+fTvd3d10dHQQDod5+OGHCQaDHDx4EIvFwq5du8jMzGRsbIz+/n5ycnJElNXcczM5OYnVahXxShkZGWRlZSGXy5mammJoaIg333xT5JzCbGKFFJIej8dxOBzMzMxgMpnIy8tDq9USjUaJxWKikiodt1Kp5J577kEmkxEIBLBarQwPD5OXlyfkCCqVCofDQXp6ujCFlqZlpWvW2NiIQqEQukzpmt5YxVIoFDidTjIyMkTL3Gg0islmmK3y9fT0UFZWhlqtFv5qH374IQ8++CAKhUK07F0uF0ajEYfDweTk5G/EYzCJJH6dSBKyJP5DIBKJJNhrSBOawWAQmUxGMBgUvl/SgqJWqwkEAkxOTophA0mHI8UzSYvvjb5cd2IqCvCTn/yE0tJSHnnkkUVfMzU1xaFDh1ixYgXZ2dmiMpednS0IoVKppLi4WEy6SYukVqulpKSEtLQ0IbS2WCwL7md5ebmIY1oIknHs6Ogof/qnf8rGjRuFfcLo6CjHjx/n/PnzxONxiouLefrppxd19N+zZw/Dw8O88cYbtLa28sILL9DQ0CA0QtFoFI/Hw/DwMJ2dnfT29vLEE0+wcuXKeYTM4/Hwt3/7twQCAaqrqykvLyc7O1sQiunpabq7u3nvvfcYGRlBq9Wyfft2bDbbLa+PXq9n48aNnDhxgmAwyHe/+12uXr1KTU2NmPh1u90YDAaefPLJhH2bnp4WAwiAMD+98XyuX79eGJn29/djs9lwOBxcvXqVsbEx1q5di8fjobu7m8zMTEwmkwgdB+jo6OCHP/whR48e5ZlnnuErX/mKqOYcP36cb3/721RWVtLf34/H4yEjI4P//t//O+Xl5cIs9fTp06SkpAi/tP/23/4bNTU1TE9P873vfY/m5mZhT/PII4/wzDPPMDQ0hMPhwGQyMT09jcFgQK/X43a78Xg8YthBOkdXr17FZrPh9XpRKBS4XC4KCwsXbX9LqQAw3x9w7uuLiooEyYVZsi2lckjnSK/XEwqFaGtrIzU1lZ6eHmpra7FarWRkZHDt2jWuXbtGSkoKDoeDSCQihnBaW1spKChIVsiS+J1FkpAl8R8CarWa9PR08Y1aagXONYRd6A9tOBxmenoapVIpYnVisRharZZQKCQWV6l1BjA+Ps7Q0JCYiAOEvsvr9ZKbm0t6ejrBYJDu7u5FfbVuhMvl4o033sBms7Fu3TphhSFV4eZWFiSSJi1YFotFDETMzWxcCLeqFhmNRj796U/j8/n4wQ9+wGuvvSYm56TpS0k39sUvflGYzi6E9PR0XnrpJSwWC83NzYyOjvLuu+/y7rvvCj3b3BaZXq8XVgY3QorSGRoa4vjx4xw/flxYqMDstQyFQmIi96GHHuLTn/60qGYGg0ECgYAY4JirTdLpdGzevJmzZ89y6NAhJiYm+Jd/+Rfx2mg0KiK6Hn300du28LjxfMtkMsLhMOfOnWN0dFSEout0OvR6PYFAgFAoRF5eHi6Xi1OnTlFUVERVVRWrV6+mpqaGP/7jP17wc/r7+7nvvvv4sz/7MzweD1/+8pdpbm6mqKiIVatWUVNTQ29vL0uXLuULX/gCgNAuHjx4kL179/KNb3yDqqoqPvroI772ta9RXFxMaWkpoVCIqakpYW/i8XgwGo1Eo1GUSiUqlYqGhgZxrub+HxCV6Zudm4Ue3/hcMBjEMTBAXn6+0FfONdy1Wq3s3LkTk8lELBbDbreTlpbGxo0bgdmhhMceewyz2Ux1dTXRaFRU0nU63R1NpSaRxG8bSUKWxH8IyOXyj/XHVKvVUlpaKtzKI5GIWKAlzdjMzIxYWMbHx3nllVeQy+W43W7uuusu6uvr+bM/+zNWrlwpRN9f/vKXOXDgAO+88w75+fm0tLTc1Kl9LiQPL0nvBiRUECQ7D0kfp1AohOWCdA6CwaBowUokUwqSvtk5lAYcli5dSmlpKVVVVbz55pucP3+eiYkJtFot2dnZNDY28uCDD1JbW3tTLZRcLsdms/HlL3+ZBx54gEOHDtHa2ipaYzLZbB5ndnY2FRUVLF26lDVr1ggSJSEej5OamsqXv/xlTpw4QUdHBw6Hg+npaVEFTUtLw2azUVdXx4YNG8R2JHR3d3P16lUyMzOxWCzCdd7pdLJ27VpsNhtf/epXaWho4N1336Wnpwe32y30Y5JlyJ1O/0pYuXIl6enpqFQqli1bRktLi4gi8vl8YmJWmqKdnp5m9erV5ObmArMVR7PZvOh9brPZ2Lp1KyUlJfh8Purr6+nr6yMUCmE0GkWg90I+YwcOHKChoYH169cLW5Xa2lqam5v57ne/S0VFRcLrJZsZuVwuHPEXuldv/HIg2VvM1d1Jz81tBy+GkZERvvlXf8XXv/51oROcixt1iJLuT6puz33+duUDSSTxu4IkIUvi9xo3+qQplcoEXdjcbM54PC5y/7Zu3crg4CCHDh0iPz8fjUbDY489Rm5uLi+++CLDw8McO3aMT33qUyJD8XbE0tFolAsXLnDw4EGmpqbIzc1l9+7dIoi5u7ub1157jd7eXpRKJU1NTWzfvp3BwUH+8R//kf/yX/4LsViMr3zlK2zZsoWdO3fy5ptvMjo6yrPPPrvgZ8ZiMWGb8PWvf52ysjKKi4uFAeqOHTvYs2ePOC86nY7U1FSRtrAQblxsNRoNq1atoq6ujunpafx+v/BZkzykTCaT0MYNDw+LEHDpvBmNRoqLi8nKyhLtZZVKJao80nYsFotwrp8Lo9GIyWRCp9PhdrtFe1uhUAhSmZGRwac+9Sm2bdvGzMyM2EdJNyjZnnwczCXkxcXFFBcXL3ruhoaG2LJlyx1FdkkTwvAr2xiv13tbgzNOp5Py8nJB9rRaLRaLRdhqSOReEtGrVCquXLmC3W7H6/WSmpo6r63f19dHd3e3GETIzs6mvb1d+I35fD5BFiV7lrq6OpHW0d/fT15eHn19fcI8d2hoiHA4LMyg8/Pzyc7OJhqN0t3djdPpJDs7m7y8PCKRCAMDA6hUKqEzy87Oxul00tPTg1KppKSk5NcSi5ZEEr8NJAlZEknMwdTUFFNTU3R1daFQKNi2bRtarZasrCzS09MxGo2oVCoxqSeZ1EreSHMhtevmVgWksOennnoKs9nMq6++yk9+8hO+9KUvEQgE+B//439gMBh46qmnmJmZ4ac//SmRSISVK1cyMDDA9PQ0IyMjjI+P09bWxv333097e7tILlgIbrebV155RfhbSaJsyRX9rrvuoqysLME1/VZwuVx8+OGHrF+/PqFyImUiLoaZmRk6OjqYmZkRZrAqlYqcnBxCoRAOhwOfzycqZiaTaV71ZiHIZDLy8/MTbBSkayA9D7M6tf3797Np06ZFCdPtIh6P43K5eO+990Q6xIcffojT6aS+vp6uri7cbjelpaWkpaXR0tJCeno6eXl5/OQnP6GgoIBt27YtWAla7BhvNbkpJVDcaHVit9sZGxvD5/NhMBjwer2Mj4+jVqtpbm7GYDCQkZEh7GRSU1P56KOPcLvdaDQa+vv7Wbp0aUJE1LvvvsuRI0dQq9V86lOfwmazMTU1JUiZlKMp2WyYTCZBWj0eD6+8/DJP79nDt7/1LbZt345SoeDixYv0dHfz9r59aLRapqen+epXv8rFixd5e98+MjIy6O/v50+efx6LxcKXXnqJpnXrCIdCrF69Gq1Wy//+3/+baCSCPxAgPT2d559/PtmqTOI/BJKELIkk5sBms1FUVMSuXbvEN/vR0dF5rRa5XI7ZbObatWuYTCaGh4fnEYdwOExXVxcZGRlCo6bRaNi4cSObNm1CLpfT09PD0aNHmZmZob29neHhYb75zW9SVlZGPB7H6XTy5ptvsnz5ciwWCyMjI/T09FBZWYnb7Ra2BFI7ta+vj/HxcWHAKemULl++zI4dO8R2z507x/Hjx6mtraWsrIyUlBQhoPZ6veTl5Qmx/Pj4uLAgKC0tRSaTicVYJpNhs9koKyvD7XbT1dVFMBjEbrfPI0eAiJyaa08imerGYjFyc3PFe6SKze3idjRMfr+fY8eOsXbt2nlWIHeKeDzO5cuXCYVCrF+/Hr1ej9lsFlOc09PTrF+/nmPHjmGxWLjrrrvo6elBo9EIg1ip5SbptrxeL36/H4/Hw/j4OEaj8bYDuuVyubBIaW9vR6FQYLfbMRgMbN26la9+9as0NzdTW1tLa2srV65cEVOxNptN5E1KZKqyslJ4842OjiZYcXi9XgYGBhKqwnK5nPr6euG/dqPNDPxqWEaj0cwazvb3ozcY8Hg8BPx+MrOySE1NZffu3ZRXVPD/vPACAwMD/HLv3tlzVltLe3s7x48fZ9u2bcRiMbZu3UphYSEymYwLFy5wsaWFXY8+SsDv55e//CUPPfRQghmu9CVJwsdtUSeRxK8bSUKWRBLXIZPJWLFiBZcvX+bv/u7vUKvVrFixgrKyMhEeDrOtI7VazdatW3nttdc4ceIEsVhsnk+ZFDSdlZUlol40Gg2FhYUJwwmhUEgsejKZLMHfqqSkBIfDgUqlwm63C23V0qVLOXPmDJ2dnXi9XoqKirh48SL79+8Xzuo7d+4kMzNTWANMTEzgdrsJh8MMDw8LHdPExASxWIz33nuP8+fPk5qayr59+/jMZz6DQqHg5ZdfFi1Ms9ksiKjT6cThcIjg+J///OdMTk6SkpKC2+1OmH6cK/CXPN+kn8/VGLndbnEtIpEIJpOJcDjMiRMniEQidHZ2otFoeOKJJwgGgzQ3NzM0NERtbS0bNmzA7/fT3NyMw+HAbrfz4IMPYjQaOXbsGB988IEgntL1mXvtbzUssRDC4TBarRaj0ci1a9fEdGo0GiUjI4OCggJh2SKFbEtaMZ1OJ9rE4XCYb3/724JM9ff343A4aGxsZM+ePajVaiwWS8LgijT9OLdC+dRTT/G3f/u3fOELX8BkMvGNb3yDiooKmpqaeP7553n11VcJBoNotVqef/55HnzwQXQ6ndCDzbW9kDJqZTJZgiYtHo8zODgoTInnnkMpGkkulycYu94ItVqNLTublosXqaurY3R0lGgkQlV1Nenp6WRmZc3+nmk0eL1ehoeHMZvNDAwMsGr1apYvXw7MtqkLCgpQq9XE43HcbjdOl4vh4eFZmcHjj6PRaDh27Bg6nY7x8XEx4JOamkpeXt5tVWCTSOK3gSQhSyKJOTCZTDz99NNMTU0Rj8exWq3odDq++MUvCv3Oiy++SEpKCvn5+aLipNVq5/l9hUIhEfckQdL+LASpeiBNhMFsi0+aDsvLyxN2GPX19XR3d3Px4kX0ej0mk4l//dd/RS6Xk5+fz8DAACdPnuTZZ5/lgQceoLOzkx07dggB+Y4dO2hpaeG+++5j1apVBAIB9u/fT3V1Nbm5ubS0tNDS0kIkEsFsNvPss88KLZakbfN6vTzxxBPI5XIRPWWxWLj77rtJS0ujvb1dGPJmZGSgVCrF4IBOpyMSiVBWViaO1e/3c+jQIcLhMCaTCb/fz5YtW1CpVFy4cIHR0VF27dqFUqlEo9Hw85//nJmZGdavX8/PfvYzTCaTCKWWhhVOnjxJeXk5r7/+Olu2bKGvr0+Qvmg0isvlQq/Xo1QqmZmZEQRRp9PdsnIik8morKzkwIEDvP3225SVlaHRaIRezmw2o9FoqK6uJjMzk3PnzmG1WqmqqiISidDa2kpmZiY5OTkolUr+8A//cF6clVQhW7t2LTU1NcJLS6lU8vDDDxOJRPB6vYRCIVJSUmhsbKSsrEwcS05ODuFwGIfDQU1NDZ///OdFjJEUvyVtLxgMkpqaitPpFMdeUFAwr0InaeCmp6cTfh4Ohzl16hRWqxWj0ShsUxYiZSqVioyMDA698w5/9OyzHDxwgHAkQmZmJrIFqtHl5eVUVFbyyCOP4Pf7MRqNs4RwDoEESE9Lo7CwkK1bt5KTk4Pf7xd2LkajEZfLReT650j3WBJJ/K4gSciSSOIGmEwmTCYTkUhE6JlkMpmYpJREyXMrHZFIRBig9vb2Cj+luZW1W0Fy2z9y5Aj33Xcf4XCYI0eO0NDQgNVqpbi4mH379lFaWipakvv27aOurg6tVsvExAQWiwWXy0VNTQ3l5eW37bkUjUaZnJwkEongdru5//77qa6u5ujRo2RmZt40EglmqzWPP/44+/fv55VXXmHlypU0NTUJ41LpNRIxkwK85w5YyOVyMjIyEiprUuxWNBpl5cqVNDQ0iPbmO++8g9lsZnR0lMHBQeHQPjo6Sn9/P9euXRPGuCkpKTQ1NYkYIJglFh0dHZhMJkZGRhgZGcFsNpOamiq8rW4GqV379NNPi58tW7Zs3ut27twJQGNjo/hZU1MTTU1N4nEoFBKaxGAwiNfrpbCwUFw/o9GYUIGNRCI4HA68Xi/Xrl0jPT2dpUuXotVq5/myzczMcOnSJeLxOHl5eUxPT+N2u3G73fT394uJ3pSUFPx+P1euXMFsNuPz+cjOzp5HyAKBAF1dXcKXbe75SElJobOzE5/PR15eHna7fcF7R/L+k8nl5Obmkp2dTXdPDyaTSVjRBAIBTNe9BXc/+SQ//vGPab14EY1Gwx/90R+h1mhIsVgSKoSV1+1D/v5730OlUlFzPZx+8+bNpKam4vV6GRsbIycn52MPbySRxG8KSUKWRBKLwOl0cuDAAex2OxUVFQwPDxOLxfjoo48IhUIUFhbi8/nIzMxkfHxcZAG+8cYbbN++naKiIjQazW05yQPk5eXx0EMP8cYbb3Dy5ElRWXvuuecwGAzk5+fjcrkwm80YDAYKCwsZGhpi69at6HQ6iouL0Wg0bN++nVAohEajuW1CJhnSlpSUsG7dOrxeL2azma6uLj744AOmpqZEq1Gn04k2pc/nQ6PRiHbVrl27aGlp4a233uLBBx9MqDItFEE0FxqNhtWrVycIsCVvKpglyhK5i8fj6PV6tm3bRmVlJTBrc/D6668zNjbGrl27RH7q3FakXC5PSBCQy+WEQiHRLs7JybnpdKm0nV9XAoWEnp4eTp48SVZWFtPT00KDt9j102g0NDY2Cg2XQqFYVLguebBJiRQ1NTXCRuauu+4CEPYqANXV1czMzNDZ2bngcUok8EYolUqqq6spKSkRrembkZ6qqiq++c1vkpaWxkMPP8yxY8c4ffo0VVVVHD58mLKyMv7ws58lPz8flUrFSy+9JKKXpBSOv/jLv0wg9TqdjieffJKpqSlR3VWr1aSlpQHziW0SSfwuIUnIkkhiEUjarf7+fuEaPjY2RkZGBleuXKGrq4tt27Zx/PhxysrKGBgYQKfTkZ+fT1FRkTAFdbvdxONxMjMzef755ykuLsbn8xEIBCgpKWHXrl3IZDLcbjf33HMPdrudyclJ9Ho9FRUVZGdn4/f7USqVfPazn6WkpIRwOEx+fj5f+MIXKC8vJx6Ps337dv7t3/6Nb33rW2g0Gh599FHKyspQKBSkpKTMW9znel6p1Wp27drF3r17OXXqFCkpKezevZs1a9bQ19fHd77zHWC22lNTU0NmZiZarZa//uu/Zv369TQ2NnLgwAFROWlqakrQh0lYaIGXNFc3koqbkR6FQsGKFStoa2ujsLAQt9tNSkoKHo8HrVaLz+ejo6OD1atXY7fbcTqdnDt3TlSVYLZFLFWtcnNzicfjZGVl3RbZkkiAFGYtTeYODg7icrmIRqNoNBpSU1MpLCykoKBAaMAW2n5OTg4bNmxAq9USCAQwGo0oFAp8Pl9CW02aVpS0aNK+xONxIpGIGJCY+3qFQoHBYMDtdieI8KWp2IX2x2w2i+lPKcRbMua9cuUKo6Oj4rVSLuzU1FTCNqQK842QTHLVajWZmZkiD3P16tWCcAWDQaxWq7CsGBwcJDMzc56/WkZGBgMDA6SmpqLVarl48SJKpZL6+vpFrlwSSfzuQvabDH9O4qZInvjfcbS0tNDZ2UlKSgppaWl0dnaSdX0KzOFwkJqaKtofMpmMwcFBGhsbaW9vx2q1Ul5eLiYRH3jggYSFr6WlhbGxMVJSUoROaHBwkIyMDPr6+li+fLmYaovFYnR0dAgXfYPBgNPpJBAIiArEkiVL0Ol0jI2NMTMzI4LRJbIjtVfhV473c+OmYLZK4vV6CQaDCSJyaSDgww8/JDU1VRjpTk9PU1JSQklJCUajEY/HI8xYU1JSEmKsbgap/SaJyCVz07mC9+bmZgoKCqirqxPbHB8fZ9++ffT392O1WnnsscfweDy8/vrrwGzaQU5ODmvWrOHQoUOcP3+evLw84vE4O3funBcmvhj279/PT3/6U9GiU6lUfO1rX6OgoIDR0VExMDA1NUUoFBJu93K5HIVCIcx2N2zYwPLlyxf1xVooVmj//v3s379fGBIbDAY+97nPYTKZ6O3tJRgMkpmZyfT0NE6nE71eL7z17Ha7iC0aGxvje9/7XoIQf/369ezcuXPBKlY4HGZsbAyn08nExASjo6MMDQ0xMjKC0+lkZmYmYT+lz70VVCoVmzdv5oEHHgBmr313d7e4b6LRKOFwmMLCQmHDEolEOHLkCFarlYaGhgRj2vHxcb73ve9RXV3N6tWraWlpYWBggNraWqqqqlAoFPT39+P1esV92tbWRiwWo7a2lng8TltbGwB1dXULRoR9gvHrLQMncUskK2RJfKIRDAZxuVwiekmn04mqhNVqZenSpVgsFtLT02loaBDvW7p06TyneSlaRhJeR6NR1Gq1cC+fi5KSEpGrJ7Xy9Ho9FouFjIyMhEVbJpORm5tLJBIhFouh0+nIyMgQcUGDg4OCAITDYYaGhsjMzBReafF4nNraWiKRCD09PajVaqanp1EoFIRCIUwmkxBhS1FRc2EwGIQh61ztl1StkRICLBaLGHy4E8Tjcfx+PzMzM8LIVxo+gNlFfMeOHfPel5GRwZ49exKupUKh4Atf+MK8auC9995LY2MjKSkpog0qhafbbLY7yjeUiOJHH33E3r176ezsXNAUWGqZSs78fX19XLp0iV27dgkSL0EiXKFQSMQ5weygg9R+k44xHA4zMDDA1NQU4XCY/v5+Ef0ktY4lzeFcB32Xy5VQxbqZqez4+DivvvoqfX19Qke5GKQKmVR5vNW5m1vxC4VCXLx4kZmZGdRqNSaTSWjp4Fdtbim39kbI5XJcLpewsggEAni9Xnp7exkdHcVu0sPCbgAAIABJREFUt3P48GHWr19PLBbj6NGjdHd3EwqFcDqd+Hw+RkdH8Xg8BINB1q9ff0uvtySS+E0hSciS+ERjbGyMDz74AK/Xi8ViwWazEQ6Hhf5KcjHfunXrvEX7xgzDG/+tUChoampacDG7MYsTfpU7KFUa5oqV5+pepClAmF0MMzIyRPtK8sKSbAwk4iT9p1QqxaCBUqkkEomg1Woxm824XK5Fz5NU9Zqrx/o4NhELQalUUlpaKtpuUsbonaKjo4Of/vSn/Pmf//k8YnjlyhUOHTrEiy++CMDExAQ//OEP6ejo4H/+z/85rxV2M6hUKgYGBmhubqavry/h+kou9+FweB5JCwaDnD17llgsxpNPPplgxNvT00M0GqWlpYXNmzcLzdNiqKurE5mj0v+lay7p5P49ovVgMMj4+Phtkax/DxQKBYWFhSIWS2q/zm1dx2IxfD7fPO2XFKdlt9uFl5pWqxX/bm1tJRqNUlhYyOrVq4HZPNChoSFyc3PRarW0tbXhdrvnpRAkkcT/DSQJWRKfaGRkZNDU1EQsFkvQ4kiGlmlpaULvAvDhhx9y4cIFnn766VsSEZlMlpC1eONzC/17occ3e41UEZGQlpZ208W8rKwsYRtzycTtiJ1vtt8fF3OtQKR2paTNWiifMxgM4na7sVgsjI+Pk5aWJioeU1NTOBwOpqamRLKCFCq/cuVKsS273c6ePXv4xje+kUCcpCqSZFy6kPVFMBjkjTfeYHBwUNwjVVVVVFVVYbVaUalUhEIhBgcHaW1tFWa5MEsuLly4gMlkYvfu3WKAYGxsjI6ODhFAfiuo1ep5In6pPR0KhUQG5ccdQDCbzTQ1NSW0JiWMjIxw+fJl0cJVKBRUVFRgt9tvuV2FQpGQkCBFbt0MUhvYZDIteCylpaW89dZbbNmyRcRzSV8ydDqdCLNXKBSsW7dOVJrtdjsWs5kT779PLBbDev0LRzgcJhqJoFkkMD2JJH5TSBKyJD7R0Gq1CUHXi4nOJUxOTtLR0TEvmuY/Cm6H/P02IU3zSS7zY2NjpKeno1ar6e/vp6SkRBCf8vJyNBoNAwMD/PM//zOPPfYYX/va1/iv//W/cunSJYaHh2lvb+dHP/oRXq+Xqqoq/vN//s/09fXx8ssvo1KpWL9+/aL74nK5eOWVV2ZNSqNRNm/ezP333z/vdVKbWCaTUVZWxq5duygpKUGj0SQ409fW1tLY2MihQ4c4dOiQqDZFIhFOnz7N0qVLWbJkiWhJj46OCs3Zx8Hk5KRow0ptYElHdzOEw2HOnz8vdFtyuRyr1bpgmxjgzJkzXL16NUFTt3LlSjZs2HBb+3kn7WGYbdump6cvmKwgk8nYunUrgUAArVZLeXm5mKYtKipCoVAktNirq6tRKZVMT08TDgbxeb2sWrGC6elpxsfHGRkeFl57yxoaki7+SfxWkSRkSXzicfbsWY4ePcrU1BQlJSX09vby5JNPIpPJ+PnPfy6CmXfv3i3eEw6Hefvtt5mZmeHhhx/mzJkzHD58GLlczubNm1mzZk1Si3IbGBwc5IMPPsDv91NTU4Pf76etrY01a9YwMDCAQqGgt7cXmJ3OKy0tRa/XE4vFGBwcFDmLAwMD2Gw21Go1n/nMZ9Dr9Xz1q19lamqKmpoannzySV577bVF9yMej3PixAn6+/vZvXu3aH/O1Q3eiOLiYp566ikRDD8XUks4LS2NBx98EIVCwZtvvkk4HAZm9VtHjhyhsrJStJmLi4tpaWnB5/PdsmW5EEZGRsTU6cDAAJFIBI/Hc0tCJlUojx8/TiAQoL6+nuLi4kUrpguRFMms907R29vLzMyMsN9YCFlZWUKXuRCkIYZYLMbk5CShUIiJiQmhyzSbzQSDQZRKJZmZmXhnZphxuzEaDEKfp7weRD81NQXxOFk2W1LRnsRvHUlClsQnHsPDwwwNDZGdnU1rayvl5eWcOnWK7du3s2PHDuRyOX/zN3/DypUrgdm208GDBzl9+jR/8id/wujoKG+++Sa7d+/G5/Px4x//mMrKyjvSJX1SEYvFsFgsxONxrly5QjQaRavV4nK5hI1IVlYWwWBQtP2MRiMGg4Hu7m4aGhro6OgQpqRFRUVkZ2ejVCrFhOjtYnBwkPb2dvbu3Us8Hqe+vv6m0T8bNmygsLDwltvV6XRs2LCB1tZWuru7xc97enro7e2lurqaQCDAxMSEaK19HNhsNjZv3ozFYqGhoQGPx3NbejyptS599tmzZ+nq6uKRRx65o8/3eDycOnWKQCAgpknPnj3L5OQkeXl5lJSU8MEHHxCLxVi1ahUajYb29nays7OJRqN0dXXR1dVFLBZj9erVYkJ0fHyc90+coHHNmpsSs0gkwtGjR0lPT2dwcJDp6WlBFEdHRigpLeXuu++mfulSYtEoCqWSsoqKedVu6bHiY+gYk0ji34PkHZfEJx5SCHNFRQUymYyCggJ6enoYHR3lwIEDTE1NceXKFdFy6uzspKOjgy996Uvk5eVx4sQJjh49itfrRS6Xz+bpOZ2/c4QsEokwNjYmjGXvpF3pdDrRaDRotVrh9TW3IjI5OYnBYLhluy0ajRKLxRKiedLS0kTSQTAYFJ+zZcsWzGazqIhJmimDwYDZbObq1as89dRTvPLKK+Tn52OxWFAqlR+7MpmRkcHKlSv54he/iFarJRaLLWqDkJmZSV1d3W2RJykLcvny5fT394sqmdvtpq2tjcrKSvx+P5cvXxYt9I+DG++3291OLBZjbGyMyspKMXHa3t5+x58vtfaHhoYYHR1lzZo1nDx5UuS1lpSUIJPJ6OzsJBqNsmnTJqHZq6ys5OjRo6jVamKxGB988AGbNm1CoVDgcDj4u7/7O+x2+00JmVKpZN26dSgUCsrKysR9JmnGJFNYpVIJ18nWxyW/SSTxm0CSkCXxiYdknjnXVDMWi/HDH/6QVatW8Qd/8AeMjY2JBUelUlFcXMypU6dYvnw5MpmM5cuX8xd/8RdYLBbkcvm8ia1YLIbT6WRkZISZmZnZNolSiVarFVYXi5l03ohgMEh3d7eI18nIyLit4wyFQvzyl79kyZIlCTE+t4N9+/ZRVVVFXV0dg4ODZGVlJRCyvXv3sm7dulsGNQ8NDTE2Nsby5cvFFKhEosxmM2NjYwQCAfx+P2VlZQuSK7lcTmZmJqdOnRJpCMCC/l7hcJjDhw/zxhtv0Nrayo9+9CM2btzIxMQEBw8epK2tjVdffZUtW7bQ2NjI2bNn+c53voNer6e+vp4tW7YseBw2m+2OCLekX2pubhaELBqNMjAwgMfjob29nRUrVuBwOJiZmbltj7R/L6LRKH6/n9raWuHZFY/HWbFixR1vq7Ozk5aWFgAxKRkMBqmsrGTNmjW0t7dz5coVnE4nLpdLxDxJJrN6vZ6ysjL8fj9Op5NYLHZHhEm6L2DhVIj/23rJJJK4FZKELIkkFoCkq3G73Zw5c4bLly+LP+glJSX86Z/+KX/zN3/DL37xCxobGzEYDBw+fJjCwkJisZgQj8fjcaanp3n//ffp7OzE7XYLSwRJZ6TVamlqamL16tXCIPNmGZhXrlyhubkZn89HdXU19913H2+++SZpaWmUlpYyODjI0NAQJSUlZGZmcubMGXQ6HVu3bqW0tPSO8i0PHjzI1atX6enpoaSkhEuXLnH48GEeffRRUlJSeP311xkcHKS7u5vKykqam5sFyfqDP/gD9u3bJ/ygNmzYwL/9279x+fJldu7cyQMPPMD58+fx+/2Ew2HRXpLI6tyJ0BuvzT333MNdd92FwWDghRdeQCaTcfz4cfLy8tBoNKjVar7yla+Qk5ODSqUiNTWViooK0tPTicVi6PV6Nm3axD333INCoSArK4uMjAxefPFF+vv7gVn3/sUI4dznQqEQFy5cQKFQcOXKFRHHZLFYqKyspKuri/vuu4+0tDQyMjLweDxiW6Ojo4yNjTE2NkZXVxeRSIR169bd8tpIE5US6YjFYoRCITG1KT1Wq9U3FaZ3d3fz2muvicrTyMgIjY2NLFmy5Jb7cCPUajV+vx+LxYLdbsflcokvD1LAvNfrxWg0kpubS39/P8eOHcPr9VJaWkpKSgoGg0Fklc69/6ORCMeOHuVHP/oRk5OTrFu3jqf37BEWLwP9/fzTP/0TbW1tolL22OOPYzKZiMfjdHd3808/+QlXr15Fp9Nx7733svOhh9Dr9fxy715aW1vJysri9OnTEI9z9z338NjjjyeNYpP4rSJJyJL4xENaDNLT07FaraSlpYl/79+/H5fLxUsvvUReXh7RaJR77rkHq9XK5z73OU6fPk1KSgqf//zneeeddzh79ixLly4Vi3UgEODdd9/l/PnzCRU2vV5PJBIhGAzi8XhISUkhHA5z9uxZsrKyqK2tXXR/JX8oKRBcCovevXs3TqeT119/nfz8fFpbW9mwYQNWq5Wurq550Ta3gsfjoa2tjccff5yf//znwKxtRmtrKz6fj6mpKXp6enjmmWf4wQ9+IKwnXnzxRV5++WU++OADJiYmePbZZ3nllVeYnp6msbERq9XK1q1bRTh3KBQSVbHc3Nx5VhcLVTpSUlLE1J3kvr9s2TICgQByuZzu7m4uX77MzMwMJpOJ4eFh7r77bsrLy3njjTdQq9Vs27aNtLQ0PB4PCoUCt9uNXq+nurpakOWFILUgpf2SPNo8Hg9FRUWiHTy3+qlUKlGr1WRkZNDT0yO25XK5UKlUVFRU8N5776FSqW6r5RoKhTh37hw6nY5wOCyGH8rLyxkeHkYmk5GamkpBQcFNK6hZWVl89rOfFcL/0dFRgsEgw8PDjI+Pk5WVNRsCfhvVpdraWqqrq8Xj5uZmMjMzMRqNBAIBGhoaWLt2rThnAH/+538uTJmXLl067zxLmJyc5MSJEzz+xBP4/X6+//d/j1ar5ZnPfIZgMMi3/r//D38gwH/6T/8Jl8vFP/7DPwDw6aefxuVy8Y2vf53U1FSe2L0bx8AA3/3ud9FqtezcuZOR0VFeefllHtyxg4cffpju7m7++q//ejbXdf36ZGUtid8akoQsiU88KioqRKvtxpZbVVVVwmMphigQCGC329m1axcAhYWFPPPMM0Sj0YRw6p6eHtrb24nH4xgMBtauXUtpaamYCguFQkxPT1NYWCgc/aVMwsWQnp6OwWDA5/OJVqdOp0On0+H3+wW5rKysFLEwsVhMuL6Hw2F8Pt8tv/2rVCrRxpL8qCYnJ5mYmGB4eFiQkr6+PuG+brVaRVVGq9WKaJxwOIzBYBARP8PDw+Tm5i4oir/x2H0+H1evXsVisVBQULCoT5tkOeHxeDhw4ABpaWkcOXKEHTt2YLPZKC0tJS0tDbPZjM1mw+/389FHH6HRaBLah1qtFrVaTV5eHsuWLVvws7RaLQMDA2J4QKPRCB+7WCwmAtcl+w1JG3WjdYPX6yUUChGJRCgoKMBqtd629kty7Z+amiIlJQWz2Ux/fz/j4+PY7Xbh33UzSMH3c5MCpPiizs5O+vv72bZt223tj0Riw+Ew8XicVatWkZOTg8FgEMar0rXzer2MXCeOfr+fgN+P4XpVOBgMYjabyZ9zrY1GI088+SSPPfYY8Xic/v5+3t63j4cefpjOjg4utLTwJ88/jz03l8zMTCoqK9nf3MxDDz3EyZMn6e7uZudDD5GdnY3FYiE/P5/9+/ezafNmANLS0/nj556jrq6OsbEx3nvvPT766CPW3cQmJYkkft1IErIkPrGIx+MEAgEhNJ+YmECtVv9K+Hv9NdJCr9PpCIVC7Nu3jxUrVhAIBJiZmRGu+YFAgHA4THl5ufBAunbtmmhD1tbWsm7dOhE2Li38MDuJFwwGKS8vv6V+qLq6GpVKJVo9Op2OFStWEI/HsVqtbNiwgb6+PpRKJTU1NTgcDrKzs8WxyeVyZmZmbknI9Ho9mzdvpq2tjSVLlpCfny/yNqUQ6HvvvZfu7m5Wr14tsgKVSiWNjY2UlZWhUqlobW1l3bp1wkn92rVrdHd3k5ube1vVh+7ubn75y19SXV2N3W6fZ4gqXScpqkgKgddqtdTU1GCz2UhNTRWLsVQBlYLEpX0oKChALpfj9XrR6/U31YjFYjFOnz6N3+/HZDIxOTnJzMyMIGhSIPzk5CT3338/KSkpC7rnS/ur1Wo5d+4ckUiE2traW0ZQqdVqNm7cmHD8H6eS09/fz759+0RyxNDQECtWrKC6uprR0dGEitftYmJigra2NhEZJQV/S7FVADMeDydPnEChUOD3+wWhl0hd4/VKmgSdXk9+Xp64XhUVFex76y28Xi89164xNDjIP776qmjPxpmt2MkVCrquXmXQ4eAH3//+r36vpeevV+ryrhM5KUvVYrEsaIqbRBK/SSQJWRKfWAQCAc6dO8f09DQGg0HomILBIDk5OZw7dw69Xk84HCYvL4977rmHaDQqAopTU1MJBAJ4PB6x0KjVaoaGhigtLSUSiTA9PU0sFkOr1ZKXl4dSqWRqaor29nZsNhudnZ1YrVZsNhtyuZxr164BN3fN12g0Cb5N0WiU9PR0Ojo6CIVCwGwbz2q14vV6hRbLarWybdu22164JSH63EXZbrcL+w+A1NTUhCpSQUEBgBCFNzQ0JHh5Wa1WHn300dv6fEBUQyQh/GIIBAK0tLTQ19eHw+Fg48aNXL16VRBqyaNMqVSSk5PD2bNnSU1Npby8XByr9HlzHy+GlJQUqquriUQiqFQqJiYmCIVC4joqlUpxLSSyI8Uq3YhoNEpFRQXPPfccZ8+evWlupIRfl8GvSqWivr5eeKk5HA5hNSJVcu8U0WiUqakpFAoFVqtVEOW5x2W1WtmybdtszFQkAvG4sJmIRCLzpoBj0SjB6+cTZit56uvxZlqNBntuLt/8q78iNy9PvEatUmG2WNBqtZSUlvKt73wnIa5KmuaVzkNy4jKJ/9tIErIkPrGQFmcp7kYykgyFQpjNZmpra0lNTSUej5OamipaVWlpaUSjUe6999557aWpqSlRUZNibGB2MZYqUunp6ZSVlaFQKKisrMRoNApH8Y9T6QgGg5w6dUrECGVmZorKw6VLl9Dr9Xi9XjZv3rzgJOLvMgKBAENDQwuGd8+FVqtl+/btbN26VQRNFxYWEg6HCYfDbNq0SWQilpeXU15ejkKhwOPxiGtzJzFDkkZLgtVqva33LUS2ZDIZbrebrq4ugNsiQVJFcK7ebC6ZvFXihIScnBwKCwvp7e3l6tWrhMNhcnNzmZiYYGJigunp6Tu+J1UqFffee6/4nVkIao2G9NucDgaYdrv54Nw58WXg/fffp7qqCovFQv2SJSjkctouX6aqujqBDMvlchoaGvjpP/0TvdeuUVpaOjt0EQyiuO7en0QSvytIErIkPrFQqVQJLus3jspLLYy5C10kEiESiZCfn492gaw7yWFdmoKbSySk184VpN+4iEph1bfbzoNfjfvX1NSQn58vthWPxykpKSESiXDx4sWbisWl/Z2ensbn84k8T7VajcFgEK3OWyEUCuHxePD7/UQiESHYVqvV6HQ6DAbDbQeHx+NxJiYmbhp6Pve1hw4dwuVy4ff7WbJkCRqNhra2NlQqFXl5eQwODqJQKBgZGSE9PR2LxYLb7cZoNLJ58+Y7qpBIOimp8iNVgSKRCAqFQgR8w69sVWKx2KKVvlAoRG5urphQvRUCgQAffPABBQUFosXqdDoxm80UFhbOu3disdiierJgMMhbb71FMBhEoVCQlpZGdXU1GzduFLrGO0FWVhbxeByHw4HH4yE9PV1UccfGxtDr9YyNjaFSqcjOzmZoaEh86VmsXa/VaLh48SJfeuklvF4v/X19fOUv/gKj0UhRURFPP/MMP/nxjzlz+jQ6nY7x8XEefuQRtm/fTm1dHU/s3s3/+l//i3feeQelUsnY2Bif/dznbhqllUQSv20kCVkSv3fo7+/n/fffZ2hoiIqKCjo6OnjggQdIS0vj7bffZnBwkKKiInbs2EF/fz8ffvihaDk98MADKJVK2tra2LlzJwqFgv3795OVlcXSpUsZGxtjeno6QbgPs20Wh8OBy+XC6/UyMzODx+MRHkuhUIjTp09z5cqVeftbVFREXV0d0WiU7OzshNicSCRCa2srDodjwWO12WysWrWKe+65h3g8LqoZUqtOwubr4mWY1WS1tbWh1+tZtWoVRqORiYkJzp8/T2dnJ06nUyzOBoOBtLQ0mpqaRFVpIYTDYfr6+mhtbRUu6VJItlKpRK/Xk5KSIlphZWVl8ypB8XicYDDI5OSkGB7o7+/H7XYDMDAwwL59+xYkhlKA9LJly9DpdKSlpaFSqTAYDASDQXJzc7Hb7WKAwmq1ioqk5B13u4jH42LK9cyZM4RCIex2u7juGRkZDA0NCXImBW9Ho9F5uiS1Wk0kEhHEsbOzk6qqqltGJ0max5GREQYGBmhqaqK9vX1Ru4poNHrT0PL09HQ0Gg0Oh4NAIIDRaEStVgt/vjvFxMQEe/fuxWKxEAgEkMlkrF+/niNHjpCRkcHIyAhyuZyamhoOHDhAU1MTOTk5yACVpBGMx4lEIqRarfy/f/mX1NXVcfrUKWZmZvj8Cy9QX18vhjmeeuoplixZwkeXLhEOh7n77rtZuWqVuIf/+LnnWLV6Ne8dOUIgEOC+++4T71/X1ERBfr6QCej1ep5++umPFV+VRBL/HiQJWRK/dxgbG+PgwYPU19fzr//6rzQ0NPDOO+/w5JNPkp+fT1lZGb/4xS9EJM8Pf/hDXnjhBUZGRviHf/gH9uzZw+HDh2loaCA9PZ23336b5557Dpitmm3dunWe8avP56O5uZnx8XGi0ahwB5cQiUQWJGMS6urqhG/TXP2MFClz8eLFBd9XWVnJqlWrgNmqicPhICcnh4GBAZE8cCNGRkY4ffo0JpOJsrIy3G43b7/9Nn19fQlVFEkDJ00CLkZaJLuOEydOiBaXpJeKx+OEw2FcLhcul4u+vj7GxsbIzc2dR8jC4TDHjh2jpaWFUChEMBhM2B+pjbYQCgsLeeihhxKMQYEEjZjUfpYez62G3gnpiMfjwrhUiuexWCyMjY0JAujz+dDr9TgcDvLz88XxOZ3OhG2ZzWYyMjIoKSnB4XBgsVhu2f6Mx+PodDruv/9+wuEw0WhUXMuFqrbwq2nOhaBWq2loaODatWvI5XLsdjsOh4P333+foqKiOzYRhln7jO7ubmpra8nMzCQUCnHmzBnMZjOTk5OMjY1ht9tRKpWkpqaSk53NyePH6bbZZr8gjI+j0+lwOp3k5OSwYsUKMjMzxbkcHx+n/coVFEolBQUFDA4OYjabZ418ZTImxseJRiKMjIyQkpJCwO+ntKQEs9mMTqejoKCAoaEhhoeGZk1+MzKQMfu7oVGrZ7WQMhmhUOhj6eiSSOLjIEnIkvi9g0wmIzs7m7Vr1zIyMsKqVavYv38/MpmMiYkJrl27xrVr1xgZGcFqtbJkyRI2btzI+Pi4ICr5+flcunSJlJQUMjMzRWtTrVaLKb+59hSScFwianK5nGg0isPhwOv1inimhcT62dnZwKxg3m63JzynVCpZsmQJGRkZs/YAgQCjo6MMDQ3Na0F1d3fz1ltvUVhYSFpamrDwCIfD+P3+eWaz4XCYgYEBYW+Qk5NDcXGxmAicmZlhcHCQQCCAzWZbVJd07do13nvvPWZmZjAajdTU1JCXl4dWqyUej+P3+0W1a3x8XHh1LQSj0ZgQhu12uxkcHBSVrOzsbORyuWj9Ka/rgDIzMzGZTAvuo+T4PtcsVWrrhkIhwuEwWq32tluW8XicoaEhVCoVW7duFT+XWnUA9fX1hMNh+vv7RRvO7/czPDycsK309HSMRiO9vb0MDw/jdDopLi4WgwDKG3ROEsGVzIPn4mbEYXh4eFEdXjgc5t133yU1NZWsrCzhhRYMBpmZmflYusb8/Hzuuusu9Hq9uKe+//3vs2vXLhQKBadOncJms5GRkYHRaCQ1NZWm9esxmUyMjY6SmpqK3mAgGAjgDwTENZNw7uxZBgYGMBqNTE5McOTwYdbffTeRcJjz58/PTsvOzGC63sKdmJggOzubvr4+0YY/8u67pGdkcPrUKVRqNWubmjh75gzp6emcu65Xs9vtSUKWxG8NSUKWxO8lpIVM+kMei8X4l3/5FzweDzt37sTj8YjF02w2J7RmNBoNq1at4tixY5jNZpYtW4ZKpaKnpwen04lCoRAWGCaTiWAwKHRfKpUKnU6H3W4nEAiwd+9eenp60Gg0rF27luLi4nn7ejMndblcTllZGSUlJUKTdunSJZqbm+cRMrvdzsaNG8nLyxODBTBrZXD48GF27NiRoNEJhUKcOnWKUCjEunXrWLZsGWazWeyP1OaShhwWQjgcpru7m5mZGWQyGRs2bGD58uUJlZpwOEwwGMTr9eJyuYR7uhR8LVXeVCoVy5cvp66uTmz/ypUrvP7660SjUfLz89m6dStKpZILFy4gk8lYsmSJ0GgttHCGw2G6urqorq7G5/Nx5MgR1q9fL2wlOjs7OXv2LFu2bBHE+FaIx+MMDg7i9/vnVUrnkoYbNYoOh0O0XyXYbDYMBoPI6rzxXpCIokRAY7FYgtP/7e5vd3f3otObsViMQCBARUUFarVaDLnU19dz9erVea+/nYEBk8nEo48+Ktqfer2e559/XhBNKRnAZDLxyCOPkJGRQV5+PvF4nOycHPF7G4/HCQWDqG+4tlJepclspr+vD4PBQGNjI06nk57ubmw2GylWKzl2O11dXQQCAe6++25i8TgupxOX04ler6epqYnv//3fk56RQTQSIRQKkZaWJiLC/Df49d2oG1QoFMRjMbiJkXASSdwukndQEp8YOJ1OUlNTCYVCdHZ2UllZCSxsIdDQ0MA///M/YzabeeSRR5DL5Vy5coXp6Wn8fj8qlYqioiIRDRO4/i1emnCsqKhAoVAkVF20Wu2WvkNuAAAgAElEQVRN7SwWglTJkawUgHnVAglzpwavXLkihhKkNqKk5ZEQjUZxOp2sWbOGtWvXipaW9BqlUin2N35dz3PjohOJRIToXqPRLDjscO3aNdrb20lPTxdeb1JVq7q6OoFISRVI6f1zt6VQKITHlcPhoLa2FqfTSWtrK3K5nLVr14rnVSoVq1evpqOjg7feeosNGzZQW1vL4OAgBw4cwGAwsGHDBoqKirh69SqRSASn00l3dzf19fW0tbWRlZW1KEmToo5qa2tvq3oUiUQ4f/48wWBQ/Eyn01FWVoZarRaRThqNJoHkmUymhHMeiURE3uTtfG48HmdsbExYgCwEadq4tbUVpVIpTH0vXbqUUK2UcOP1lfIw5+6TTCZLaL1GIhH6+vrQ6XS43W4UCgWjo6Po9Xry8vISWs1zJ5dlMhlanY5oNIrP5xO6tnA4TMuFC2TZbDQ2NuJyuZDL5ZhMJpYsXcq0y0VmZibl5eVcOH8eu91OOBzmUmsr09PTZGZmEolGef26v10cOH78OJOTk5SXl+Pz+fD7fPiu+6PNPY5T778PyJiamsRmyyYej1NcUkyWzXbL65FEEjdDkpAl8XuF6elpgsEgZWVlxGIxbDYbKpWKqqoqampq+MUvfkFzczP3338/BQUFGAwGKisrhfh32bJlaDQaDAYD5eXlBINBsShv3LgxYaJOrVYTj8epqKgQ04RSa+x24XA4SEtLE+ay/x4oFAp8Ph9nzpxJWNStVqsQ0S9UyViyZAlDQ0P87Gc/Y/v27dTX18/btuRqP9eDDEgwOw2FQgwNDZGTk5NAIrRaLWazWfhLKZVKfD6fEN5L8Pl89PX1UVhYOG9oAmarXRcvXqSoqEhUdY4fP45arWZycpKuri7S09NJS0vj9OnT1NTUUFhYSFZWFitWrBCV0vr6es6fP8/Y2Jio1MBsu7S/v5/c3Fy6uroSqls3Qso4LS4uviXJjsViIspp7r0h5WvKZDJ6e3tn22+Tk7jdblGRlMx0pWGASCRCZ2cnLpfrtqw2wuEwp06dEsMlC+2bTCbj3nvvJRKJiMqfWq0mEAgs2MaV8ibnfsbIyAjhcHhB017pc0ZHR8V0sVwux2KxkJKSsqi2bS6cU1McfvddGteuFfrDpcuWsWLFCswWC9k5OcRiMUZGRqioqKC3rw+5QsHMzAy1tbUYjEb6+vu5f/NmNGo1RpOJoqIiAsEgRqOReDyOz+cThLDkeubrQga9s1YqEWD2y47FYr6lT14SSdwOkoQsid8rDA4O4nA4qKqqwu/3s2bNGjQaDU888QQymSyhHSZBMi7NzMzk85//PB6Ph48++oiJiQkee+wxQRpubE99HHg8HoLBIHq9HqVSycTEhFh8fT4fMNtCDYVCQhguucdrtdqbuuurVCqsViuXLl0SE2TSOTl9+jT5+fnzJsfsdrswppUqfrFYjDNnztDa2kpqaiobNmzg5MmT/J//8394+OGH2b59uyAh6usC6NbWVkKhEEeOHMHlcrFkyRIRo5Sfny/E2LC4+erMzAzvv/8+RqORvDkGn3MhVWGkFrPUPpJikc6ePYvBYMDv9xONRjEYDAnZmCkpKSJuSjrHfr8fr9eLXC6nqqqKd955h+rq6pte73g8zunTp0lNTWXLli0LEkiYJSKDg4O8/vrrjI+Pi5/LZDIhVIfZ4YwPP/wQg8GQQAIyMzOx2WwJwwy9vb0cOXKETZs2zTNQnbt/wWCQ48ePc/DgwUUJw+TkJFNTUxw5cgSdTsfw8DArV66czXFct47Ozs5570lJSSEtLS1hYvTSpUv09vYKn68boVQqWbFiBXq9HqvVOm+o4laIRqN4PB4i14+jrr4ehUJB6vX72WKxEA6HGR0dJRqNMjw8TElJCaOjo/Rf15r5fD4efPDBX51fnQ7TnM+Ye71v/D0LXtdu5tjt3Hv//aLl7vP5MJvNdzSlm0QSiyFJyJL4vUJmZiZ5eXkiGkgmk91Uo7UQ+vv7+cUvfsHq1aspLy8nFAqhUCgIhULiD7HkNSVp1eLx+KKtxLn42c9+RjgcZs2aNaSmprJv3z4+9alP0d3dzZkzZzAajaxatYrOzk7C4TDV1dVMTEwwODiIwWBg+/bti27b6/XS3t6OXq9neHhYkJfMzEyRs3gj5mrGJLhcLs6cOcN9993HmTNnuHr1KnfddRfFxcVs2rQpoZonk8koLy+noqKCtrY23G4377//PpcvX6a8vJyysjJyc3MTcgwXO0dKpXJRIgazhLOuro62tjbi8ThlZWVUVFRw8eJFPB4PBoOBnJwcJiYmqKysxGw2o9FoKCoq4tSpU/9/e+f13MZ5tfFnd9F7LywiRVLsklVs1UhOHMeOMyPHk3FmMpnc5CaX+bNy54knk+Yyntj5nMRFUkJJpGSKRSwgiEZ0YHcB7HdBnNcLNsmJPzPyd34zHksUAey+WOB99pTn4IUXXsDQ0BBsNptosFhZWUGz2cTq6ir6+/sRiUTEnNLDNlk6/kajgT//+c+oVCq4dOkSBgcHxTVnGAbK5TKWl5fxpz/9CQ8ePOh5jr6+Ply+fFlEmqLRKK5fv77verXb7Xj++ed7omuapuGdd95Bs9nEtWvXEI/HRZqv0+mgVqthY2MDt27dwscff4xSqQRFUcQUCjOhUAjBYBDNZhOnTp1CKpUSDR3Ly8s4efLkvvN3u904deoUHj9+LH6Wy+Xw1ltv4ebNmxgZGekRqJTu9vl8Yoi8+Xr4dzBHNglqgOl0Ojh9+rRY29nZWfFe/Luvmc3l8ODBA8TicfGZt9vtXPDPfK2wIGO+FWiahu3tbdhsNlFcT/VXjUYDy8vL8Hq9IjVJw58PYmZmBjMzMyiXy/j973+PUCgEXddFB2SxWEQkEsHW1hZqtRpsNhtOnjwpatKOYnBwEEtLS5BlGX19fUgkEsK0c3Z2FolEAp988glarRZ+/etfo1gs4ne/+x0ikQhqtdq+DdWMzWbD9evXkUqlelKGg4OD+PnPf35gYb7NZhMbcKlUQrFYhK7rYtIAucFTLRMNoSYkSYLX68Vrr72GWCyGO3fuoFQqIZvNIpvN4vbt20gmkyJlTA0UB0Ei5ijvq6GhIYyNjfU8ht4XwzBw7do1SJKEer2OYrGIbDaLCxcuQNd1ZDIZRCIREa0Bdrscp6amoOs6yuUyPvvsM4yNjSESiRx6DGNjY0gmk/jb3/6GWq2G9957D5999hkSiYSwVdA0Dfl8HqlUal8Rvt/vxw9+8AP4/X5UKhVRHE6+Za1WC81mU6z5uXPn8Mknn4gh9cBupPWPf/wjPv/8c8RiMbGu9Xpd+N8Vi0WRSr927RpqtRpu3brVcyzkxk+djoFAQPjZXbx4EXNzc/vO3+l04tKlS7hz5w7y+bxY+3v37mF9fV1EXa1WK9rtNlRVRbPZRLPZRKfTwRtvvIFz5871vIfU7Wp0OpC6limH3eDQUHUJu47/5s86lREosgxV02B0OlAsFsRjMVEPR52qmqrC6XKJ65Giiu1WC65uhEzX9d1U/MYGquUyKpUKNE0Tr82CjPk6YUHGfCuo1Wp49913hYdSX18fXC4XSqUS7Ha76J5qNBoYHh4+sj6IUBQFQ0NDkCQJqqoKkRKNRkUkI5lMigHiTyq0brfbCAQCsFgsmJ+fh8fjwfLyMpLJpJh3KcsynE4narUa/vKXvwjLDavV2mOHcBCPHj1CPp/HqVOneiIUVqv1wIgCYRgGHj16hGq1isePH2N2dhZXr17Fp59+imAwiJmZGVgsFkxMTOCDDz7AzZs396V0AoEAXnzxRZw6dQp3797Fo0ePkM1mhRje2NjAvXv3cPXqVUx3x9vsRdd1FAoFkYY8qIbs0aNHwv7DarUiGo2iUCiIjXFmZgaKomB9fR3//Oc/hYlvIpEQNX7JZFJElBYWFnD//n00Gg2MjIzg7NmzSCaTh3bMSZKEqakpfO973wMA/P3vfxf+YuQxJsuyEDV78Xg8uHHjBhRFEVYhZNjaarUQCoXg9XqxsrKCH//4x+jr60M4HMbrr7+OarWK9fV18VxUM5VOp3uiUWZI0L3xxhv4+OOPcfv27Z7fKZfLePfdd5HNZnH9+nUAu5YdVqt1Xy2ieQ3Gx8fx4osv4g9/+IO4STAMQ/jNmadFmF/PbreL1Dw9JpfL4f7du8jn89B1HYqiIJ5IYHpmZt+A9+LODh6vrCCXy8EAMDAwgNkzZ4Sli9Htonz44AE2NzfRarXgcrkwfPIkxicmxHXyeHUVd+fm8NLLL4u6tk6ng/n795Ha3MSrr70GSZKwvLSEleVl5LJZaJqGv3zwgUiZz8zMYPwpbsIY5mlhQcZ8K/B4PHjttdcgy7KYD0mRHhJSbrcbjx8/PtSvai9utxuXL18GsN9IFMBud5ZhYGho6MiIGyFJEgKBAM6fP4+BgQHIsoybN2/C5/PB7/fD3r3bTyQSMAxDFEHfvHkTm5ub8Hg8R7bWl0ol3LlzR6Tc9m5mh0Hz/sxDwMmME9iNSHz++edizAxF02RZxtraGoaGhhCLxWC1WjE0NISBgQHk83msr6+LqAkV7OfzeTSbTZw/f37fuVCKcG8Ujmi321hfX0ehUIAkSfB4PFBVFel0WpjQzszMANiNCjqdTuGn5XK5RLTP3MU3NjaGYDAIp9MpJgocFfVwuVwYHR1FLBbDz372MyQSCXzwwQfY2dkRNiQHNXVYrVacOHECr776Ks6dOye6BjVNgyRJaDabcDgcIqr03HPPifdPlmXMzs7il7/8Jd5++20sLS2hVqv1PP/ea5OK5q9du4ZXXnkF4XAYiUQCdru9x7F/YGAA3/nOd/DXv/5VCBObzYZAIIDLly+Leq+DzueHP/whnE4n3n//feRyuR4blsMEKXUMm2npOuwOB547exYOpxPVSgVz//wnWrqO79y40dMosLKyspsKn5hAqVTCvbk56LqOS1euwGazoVqt4pOulQs9Xz6Xw4OFBWiahjPPPScivc1Go+e9MgwDuqah2e0YVRQFyb4+BIJB3Lt7F/lcDpevXIHNbocEwP0VO6YZ5kmwIGO+FVit1gNb9PduClNTU19pZqF5MzpoY5IkCYmnbHeXZVk4xxPRAwYsU9HxwMDAkb8H9FoOnD59GoODgwgGg7BYLGKUTyQSeepzbrfb0HVd1JzRQG4yub1//z7GxsbQaDSgaRqy3chBKBQStU+KoiAajSISiWBychKrq6v45JNPRBTu448/xtDQ0L6onWEYOHnyZI+HmhmHw4Hr16+LlKY5KpROp5HL5UT6z+l09tSjHSaWPR7PE7skBwYGdj2sOh14vV6MjIxAkiT4/X786Ec/wsTEBD777DMsLi4in8+jWq2i3W7DarXC6/Wir68P4+PjuHLliqjnA7Av2nlUobuiKBgfH8evfvUrzM3N4V//+hfS6TR2dnbQbDZFZIlSjyMjI7hw4QLGx8eFTcXw8DBeeuklNLpWDuPj4/B4PLh48aJI05qh94dSfLVaDblcDqFQSHTLfve738Xo6Cg+//xzLC8vI5vNiqkAhmEICw2v14tAIIBkMtljJSJJEuKJBKJduxh6vVw2i3wuJ+xkiGQyicnpaSiKgkQyiWajgfv37mF6dhahUAjb6fRutO+73xVzXePxODqdDr548ADDw8OiEeBJkKj1er1wuVwoWyyIxmI9gp5hvk5YkDHPNPfu3cPAwIC4u9+LeSOm4c97IzP0pf9NdErREG/qEKS6GjIFJTHytMXH2WwWb7/9Nvr6+qCqKmRZRqvVwvb2thhL89JLLz21ILtz5w7u37+PgYEBpNNpuN1uDAwM4OzZs9A0DSdOnIDb7Uaz2RSvRbV5Zugc3G43pqenkUgk8Nvf/hZLS0soFArY2NjYJ8go3UUzJg/yhzNPSjAzPDyM4eHhnt89DEqjJpPJQ4dZm5mdncXs7Oy+n9PxTE5O4tSpUygWiyiXy2Lkk8VigdPpRCAQgNfr3Xd9HSbwgS8L4SWT4agsy6Lr9dKlSyiXy6hWq2J8ElmQkPjZ6/Lf39+PX/ziFwee41HR1EajgY8++gh+vx/b29twu91iUPv09DTOnj0rRnCVy2U0m00R5VQURZglu1wueDyenmuFjF9Tm5vIZLNQm020223kcrkvTVfNxxmNCkEuyzLiiQRu37qFSrmMYDCIXC4Hh9OJcCgk1ttisSAajWLh/n0UCoWnFmQM803Dgox5pikWi0fWR5lRVRXz8/M4f/68+Fmn08H8/DwmJiaOtJT4ulBVFXfu3BHu7I1GA9VqFbIsIxAIIBgMYnBw8Kk7Q2k0DUVjaI6m3+8XMw+/SkQwHA5jamoKOzs7GBoaQigUQrvdPrAh4DD7ir1I0u4cycHBQSwvL4vh3Huh99Fs0WCOlh2WyvyqtNttFIvFr214NImmSCTy1GniJ2EYBjY2NuB2u4U1hvn1nE4nnE7nU1/7/wl0bZIFB/mkKYqCSCQCwzBgsVgQDAafyhvNjKZpuH3rFjbW19E3MIBIJAKrzSYicvuOZc+1TNc2ifh2qwXLnqYQSZIgKwqk7g3EUXwVKw6G+bphQcY807TbbaysrGBxcRE+nw/j4+OQJAkrKyvI5/NwOp0YHR2FYRiYm5tDOp1Gs9lEKBTC6OgoFhYWsLy8jHK5DK/Xi9OnT0PXdSwvL6NarcLn82F0dBSSJOHBgwdwu91iLh6NKPoqdDod7OzsYG1tDS6XC263G4lEAouLi6jX6ygUCj2eXU/C5/OJ4eKHbSZP6+iezWbhcrlEt53NZoPT6USj0cDa2pqo2woEAj21eVT/dFiqkbrXzIPHD2tOoLo/wm63w9bdoAuFwr4U1lHn0+l0oKqqiDRZrdae+jCyiOh0OrBYLLDb7T11bJqmiceaJwhQVyCwK1aoJotqAM2PN0euzBEreg5K7dHoJ3Khp7mXZksLsyErrTtF4ujY6T1RVVU0s1AKmt4j0WWoaSLFa7FYsL6+DpfLhb6+PmxubmJ7extnzpyBw+EQ19jetOph1xY93nzzcxA7OztYWV7G9OwsZk+fFrWA6XT6QEFWq1YBwwC6r0uTKcivz+vzYXV1FaqqwtO9xgzDQKNeR6fdFulpWZZhAGibBFqr1TrwNcV7BhZszP8tLMiYZ5pWqwW73Y7x8XHMzc0hm82i1WqhUqng9OnT2NjYwOLiIk6fPo3x8XG0221cvHgRsixDlmWMjY2hUCjg7NmzIp2yuLgoCqkfdLu1kskktra2MD4+jtnZ2SOtGY7C6XTilVde6YkuSZKEyclJlEolUQsEoGfj3HUH3/0z1UoBu2aya2trsFqtwiqA/v9VImPtdhvvvfeecFS/fPkyUqkUhoeH8fDhQ8iyjE6ng8uXL/ekh6vVKt555x0kk0n09/cjFov1mJV2Oh2Uy2XMzc0JLy6fz3fgSCISEuYoRjAYhNfrFfVLn376Ka5evdrTRUpRQbNNQrvdxtraGtLptFhLv9+Pqakp8fd0Oo21tTVhNzE2NiZq9ba2trCxsSFSzB6PBxMTE3C5XDAMA2tra9A0DbIsi/dteHgY/f396HQ6WF1dFUaw7XYb4XAYY2NjwpahVCqJkVuUvp6ZmUEgEBB2GfS8uVwOFosF09PTcDqdYgxRJpMR11F/fz8GBgaE9cX8/DwSiYSo8aPZlDabDY1GQ9Tz0Vr09/eLZoGf/OQnaDQaKJVK4jp7Ui3lXhqNhug6PQrzTEi6xjLb29je2jrwZmdtdRVDw8Pw+Xyo1+tYWV4WKWGq55y/dw+PFhfh8Xphs9lQLpWw9OgR/IGASFfa7XYYnQ62UimEwmFIkoTtdBrpra0DmzpsVit0TUOlXN432olhvi5YkDHPNDQ/0u/3IxQKiVmT6XQajUYDuq6LDjsSUeZIBW0EFCWgjZrmPJKJJRm/JpPJ/2jMkbkmyAylf8xomoa33noL2WxWeIKRaKEITSqVwm9+8xtxDoqiwGaz4cKFCyKq8TQoioKXX35ZjIUKBoNCeFJxNM2MNNd3tVotLC0tYW5uTkT83G636HCs1+sol8soFovQNA1OpxNXr149MF0YDAbx5ptv9kTAgsEgpqamkM/nhfP8w4cPEQgERAdlo9HA4OAgvv/978PpdMIwDGxtbWFzcxOnTp2Cz+cTwsIcAdN1HZOTk7BarVhcXMTa2hoCgQCsVqvY5G02G1qtFu7evYtMJoOhoSEAXwq6U6dO4UR3KDb5YcmyjFgshnjXRLRSqWBhYQHxeByhUAiqquLBgwfweDwYHx8XUTGymIhEIvD5fKjVahgaGhJNIxQ9ymQyyGazGB8fh9Pp3B2ovbwMt9stUoiNRgOFQkGIwE6nI6J3uVwO5XIZZ86cgcViESnivdYZuVwOH374ITqdDqanp9HX14fV1VU8evQInU4HIyMjGBsbg6qqYrKFLMs947V0XRf+aQfZnQQCAQyeOIEHCwvYSqWEOI1EoyiVSj2/a7Na4fF68T8ffQRFUUSt2rnz5+Hu2l6EIxE8d/48HszPI7O9DYvVClVVocgyLly8KIR8LB5HIpnE/P37WHv8GEp3yH00FkNlzwB4SZIwMDiI9fV1/PXDD+F2uyErCiYmJzFkqltkmP8UFmTMMw3dYQMQqSdFUTA8PIyJiQkAB7fak6gw3+HSRkRDsqlrU5IkYU/wpKjTYXVVh91J702BmDfFTqeDbDYrojwH0Wq19m1cFosF5T2byt7XOij1FI/He35Gm5fX64VhGHj55Zf3nQfVTlWrVVQqlX0mqObnj0ajuHLlCp5//vlDRene2YGyLOPy5cuo1+u4ffs2NE3DxsYGNjY2en7P4/H0XAc0kioej/ecq1mIk5CXJAnhcBgbGxui6YOETrFYFOnHvaa8LpcLsUO67hwOh0ixNptNEeUEdj3z6vU6pqamevyz6PjMRqd706ytVgvZbBa6riObzUKSJHF8pVJJiHrqdKXzM+PsDuve3t5GPB4Xc0bJloVQVRVnzpxBoVDA3NwcYrGYqJOrVCq4desWhoeHhf/d1atXAeymVguFAgzDwMOHD5HJZHqmEhClYhGrK6uwKLuf2Xa7jfTWFsbGxhCKRGCz2dFqtbCytIRoPI5zFy5geHgYxWIRuWwWkiwj0e3QpDWUZRkTExOIRqPYSqWgaRo8bjcSfX2iDpJqK69cvYrNzU1UKhXYrFb0Dwyg3W4jm83uO9Z4PI7vXL+Ohfl52Ox2eDwe+E1r1Wg0RIMLw/y7sCBjnml0Xcfm5iY0TUOhUMDs7CwMw8AXX3yBVCoFYHeDCIVCcDgcMAwD6+vr8Hq9wh7Cbrdjc3MT4XAYoVBI1NBQF+FXsY1oNBool8vC8+n1118XHYkHdfSRuSew29JPm6eqqigUCvjpT38qImIU/TlIYJohEbUXVVWRyWTE0G3DMPZ1/9Hrk0cWbdCSJKFcLqPRaCDW3QCBXeuGN998U0SkyPaBxIfdbheNCsPDwwgGg/vW0iyqD1pnr9eLV199FaOjo2KwtqZpQjhRnR8JF0ph+nw+cZx7RQn5kdHPzWaurVYL8/PzUFUV4XBY1H/tFc/mmjMztVoNCwsLsFgswl/O/Ht07Oa099Omvqj2jKK8JNpOnDjRU1BPdWsHPW8oFMLU1BTW19eRzWbh9XpFB6XZXiUWiyEQCMDhcODhw4eoVqvI5/PY3NyEqqooFovipmFoaGhfp3Mmk0Eul8ONGzcObJgpFovY7taKWS1WzJ4+jWQyidTmJrw+H2RJQmY7A8PowOPxYPb0aWylUmjpOvr6+xGNxZDLZrH2+DHsdjti8ThS3c+tYrFgcmpq19BVVdFsNOB0OpHLZqFrGlzdaR0WRUE4HIbT6UQwFBJRNrIGcTqdomvW4/Vi8MQJRKNRWKxWKIqCWrUKSZZ7mnMcDgd0XRdpdOruVmQZ9m4dH8McBAsy5pngsMjT+Pg4ZFnGzs4OxsfHEQwGxRdeOp3uibo4nU5MTk4ik8lAkiTxu5OTk0ilUigWiwgGgzhx4gTsdjsKhYKworBYLBgZGTlQTFBq0+l0wmazidobh8OBYDCInZ2dL0fDdDdUt9uNSqUCn88Hn88nolytVkuYp7bbbfT39+OLL75APp/H2bNnkc/nhZBMp9MIBoNilEx/f/+BBe+tVguZTEaILIpotdttKIqCUqkkatBoJmShUBACUNM0ZDIZMeDcLEyoAy8QCIj6rKd9L81/r9VqomngIBwOB2KxGAYGBvbZbJDVBL3vlH4mf7bD/L0OE0E0QmpmZkakVvdG5OjxBz1HNpuFqqpiQHmj0cDq6qr4d6vVKjbsg45v73OaU8TUYOBwODA6OnrkjcJh5yfLsvCJK5VKePjwIVRVxejoaE/9Hh0fGb7WajXMzc3hxo0bsFqteP/99wFAjHs6SLCGw2GsrKwg1vUZ23tMHo8HsixD01QsfvEF2q0WqtUqvF4fNE3HxvoarnUnCHQXA5aujUa73UapWMTI2JhIdeq6jmRfHxwOB6qVCnYKBXh9PlTKZciyjOLODrw+H8qlEnw+364lRjyO7W6ZgsVi2X3eUgn1Wg3RWEyMZYtEIjAA5LvfCwG/HzvFIprNJux2u2gQcbtcsFitwjxZ1zRI3fq4/v7+I4fWM/+/YUHG/FdCEROKnrRaLVEDQxuhYRgYGBiAJEliniFFytxuNyYnJ0XtGD1POBwWHk0kkLxeL06ePAmr1Sq63hKJhBiRRNEIqh8yQwXaDodDFGyTsMjlcpCk3bmKfr9fHBd9gdMMQTM0SsftdqNYLIo77mQyCZfLhVwuh3q9jlarhVarJYrXqdPsIBsE8qsKBALIZDIAdkWBqqpiGkCxWITH40GtVoPf74csy6hUKggGg8jn8zAMAy6X60DbgIM2firopjSSOWKmqqqwSqCNrN1uizRfp9OB2+0WUQryiKvX67DZbKjX66JeTlVVEZEgZFlGOBzG6uoq0qCHc/oAAAhLSURBVOk0fD6fiH49jbUJCQdN09BoNFAsFlGr1Z7a0oFEEo3bSqVSPelOt9sNl8uF9fV1IfZ1XRfXEK0pCWRKOzocDpFqXVxcRDabhd/vF0KEZl8ehWEYQoxTA4jD4RDTAcydsrlcTkQkaaSTxWJBNptFtVoVI5CGhoZw9+5dkWqlVH8gEMClS5fwj3/8AwsLC5juGroSdrsdXp8XVpu1mzKVsVMoIBgKwR/wo1qtwu32wNaNfBqGAY/Xi0ajgWwmg6GuiXC1UoGl28hC6ylJEhSLRcyb9Hi9sCiK+Dul4S00zcO0Rs1mUzSXaJq2G+UNBBAOh1EsFqGqKkZGRqBqGvTuf0q3czgYDCKdTsNut4suX7vNhnBX/H5d1i3MtxMWZMx/JSQ8qBuy3DV+JAsFRVHgcDj2OdiT07wk7c6frFarouuw1WqJ8TkAREqBohj0mE6nA0mSUKlUYBgGQqHQoVYLkiQhFouhWCwin88jHA7D4XCIonZd10X6iEQBFefTlzP9nKIRZIFAwpNqlMg/y2azicgaCQyHw3FodInu/ClFVy6XsbOzI9J0Ho8H+Xwe2WxWdOpZLBYhTmnzJkuFp4HMbxuNhnivfD6fGHPk9/vFBuV2u4XVQ6fTEeN9dF3vWXuXyyWK3ek49h4PRWn6+vqgaRqWlpbEOvp8PjEAnkSXOfJK14XX60U0GsXS0hJsNpuI9OxN7R6WeqL5mgsLC8IUNdRNh9F7NTk5iaWlJdEoQZ22JOplWcaJEyewvLy8a3bqcGB6elpc8xR1o+On6C+JEXrOgyKDZLtiTnmOjIz0NKtEIhFcv34dlUoFgUAAJ0+ehMvlwgsvvIBUKoVoNIpwOCzSpRSxpSaZSCQiInkXLlwQjTLmNYsnEoh3Gxb2ivqN9XVkttM4c/acuKECID6f4WhUGMOWuzVgdrsdIZMhLEVVSTi63G6xdpB2vdys3dRj0PQ4ijgrFgs67TY21tfhdrtRr9fhsNsRCgaRz+WgdKNpisUCSBJqtRpaug6n04l6vb6blpZlyN01kbkjk3kCEvuqHBu88EdAKbZWqwWPx4N6vS6+FAGI+YSDg4M9X+a6rou0W7lcFqnDWq0Gp9PZs+FLkiSiD8VisacGyWKxCDHn9XoPNWrtdDrY2toSEQ6/349yuYxwOIxcLiciYzTk2OfzYWtrSzQIhMNhZDIZqKqKSCQCp9OJ7e1tsVHG43EhOhRFQa1WgyzLIhphtVrFYPPDTGCbzaawcLBarfD5fMLJ3+1279btpFJiwLaqqnj8+DF0XRcCjercfD4fYrHYE+tgqM6LBCYNTa9Wq1AUBT6fT0QAqaCbxB/NkyTzVor6UNqIhouToLTb7ahWqwiFQj1dg7qu94h6GqnUarWEdxqtF4ljGn7d6XSErQWlsShd6Ha7hYeXuQ6NILsSipDZbDZxTdFzkdin1CXNsaT3Vtd14b9GjRI+nw+yLAsPMgDiuiYPM7fbLf7dbreL7lz6nqe6SLJRocgaRYLJLqXVaom1o05Wh8MhostPgmrxKJVsFvMkBEmguVyufWtYr9ehqqqIbtI6NZvNnuucphRYFEWILPPxkbcYza+0WCxfRt87HRjd3/H5fOIzTmtOUVjqaLbZbEJUad0brU67DUmWIQG7nZqSBJvdLqLvJI4VRUGn3Ybcfc5nBFaQ3zAsyI4PXvin4LDaGuoi3DsonDZSq9Uqaojsdrv4MqYIG0WsqOi2Xq/DarXCYrFAVVXYbDaxITu4EPcrQ5s9CU/aOCk9RutL9gUkXCgN63A4hFChta/X66KGjWrOSOCYRU2lUhHPRxEVh8MhIn70vlNEFIAQp8BuDZmmaXC5XCI9ShEPSZJ6mi/+3bXZ3t4GAFGnRylZEhPtdltEmZrNpogK0nFrmtZzDnQzYW5koHOh9TV3IrpcLlQqFZEeprUh249Go4FUKgW73S4Gp9vtdoyMjBw5fJ0wW2/QZ40+WxQhlmUZPp9v32d4L7VqFTvdBgL6HIdCITSbTXEzAsOAJMuIx+M9x0cGu7Smrm70Su5G3eTu9ZlIJsXjWq0WisWiuG4lfJlCdrpcqHbXTeoKfRKXfr//qcTqMwQLsm8YFmTHBy/8/zGHNQIc9vO9/078J5sv881i7tjcm5IkMbbX6oTECv2conVUm0UbNdlXmBtH/t1jJLFKUT7zsdD/zQbBFOUyCys6XvOf905LMM8F3duMQRErs7ccPZ7O3RzZormUT/N5oGOmEgEqA9h7rrJJ1BwGCTHz4y3ddGLHMNDs+g16u1GuvTdo5uYJSZLQ0nWUKxW4nE7Yu+UAlq4PmfnYAYibBnovaN0OuoaedB7PIN+qk3kWYEF2fPDCMwzDMP+tsCD7huE8DMMwDMMwzDHDgoxhGIZhGOaYYUHGMAzDMAxzzLAgYxiGYRiGOWZYkDEMwzAMwxwzLMgYhmEYhmGOGRZkDMMwDMMwxwwLMoZhGIZhmGOGBRnDMAzDMMwxw4KMYRiGYRjmmGFBxjAMwzAMc8ywIGMYhmEYhjlmWJAxDMMwDMMcMyzIGIZhGIZhjhkWZAzDMAzDMMcMCzKGYRiGYZhjhgUZwzAMwzDMMcOCjGEYhmEY5phhQcYwDMMwDHPMsCBjGIZhGIY5ZliQMQzDMAzDHDMsyBiGYRiGYY4ZFmQMwzAMwzDHDAsyhmEYhmGYY4YFGcMwDMMwzDHDgoxhGIZhGOaYYUHGMAzDMAxzzFiO+wD+HyMd9wEwDMMwDPPfAUfIGIZhGIZhjhkWZAzDMAzDMMcMCzKGYRiGYZhjhgUZwzAMwzDMMcOCjGEYhmEY5phhQcYwDMMwDHPM/C/OvPhAZJsuzwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#mask from: https://www.seekpng.com/ipng/u2r5w7e6r5q8e6t4_harry-potter-silhouette-clipart-harry-potter-and-the/\n",
    "#creating an array of arrays for the mask \n",
    "positive_word_cloud = create_word_cloud_with_mask(\"snape.PNG\", stopwords_removed_dict_pos, 750, \"Positive Review Word Cloud Additional Stopwords\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 364,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#mask from https://www.seekpng.com/ipng/u2r5w7e6r5q8e6t4_harry-potter-silhouette-clipart-harry-potter-and-the/\n",
    "#creating an array of arrays for the mask \n",
    "negative_word_cloud = create_word_cloud_with_mask(\"snape.PNG\", stopwords_removed_dict_neg, 750, \"Negative Review Word Cloud Additional Stopwords\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>word</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>18</td>\n",
       "      <td>1542</td>\n",
       "      <td>harry</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>57</td>\n",
       "      <td>1107</td>\n",
       "      <td>but</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>47</td>\n",
       "      <td>974</td>\n",
       "      <td>potter</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>152</td>\n",
       "      <td>712</td>\n",
       "      <td>book</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>149</td>\n",
       "      <td>575</td>\n",
       "      <td>more</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>132</td>\n",
       "      <td>462</td>\n",
       "      <td>will</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>420</td>\n",
       "      <td>452</td>\n",
       "      <td>first</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>181</td>\n",
       "      <td>450</td>\n",
       "      <td>very</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19</td>\n",
       "      <td>447</td>\n",
       "      <td>who</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>98</td>\n",
       "      <td>422</td>\n",
       "      <td>out</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>161</td>\n",
       "      <td>417</td>\n",
       "      <td>great</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>216</td>\n",
       "      <td>410</td>\n",
       "      <td>best</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>519</td>\n",
       "      <td>408</td>\n",
       "      <td>series</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>101</td>\n",
       "      <td>408</td>\n",
       "      <td>some</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>365</td>\n",
       "      <td>404</td>\n",
       "      <td>like</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>551</td>\n",
       "      <td>385</td>\n",
       "      <td>good</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>148</td>\n",
       "      <td>379</td>\n",
       "      <td>much</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>123</td>\n",
       "      <td>374</td>\n",
       "      <td>were</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5</td>\n",
       "      <td>372</td>\n",
       "      <td>time</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>81</td>\n",
       "      <td>366</td>\n",
       "      <td>well</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     count    word\n",
       "18    1542   harry\n",
       "57    1107     but\n",
       "47     974  potter\n",
       "152    712    book\n",
       "149    575    more\n",
       "132    462    will\n",
       "420    452   first\n",
       "181    450    very\n",
       "19     447     who\n",
       "98     422     out\n",
       "161    417   great\n",
       "216    410    best\n",
       "519    408  series\n",
       "101    408    some\n",
       "365    404    like\n",
       "551    385    good\n",
       "148    379    much\n",
       "123    374    were\n",
       "5      372    time\n",
       "81     366    well"
      ]
     },
     "execution_count": 116,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Visualizing the top 12 words/characters\n",
    "eda_reviews_top_words_pos = word_freq_dict_to_df_top_words(stopwords_removed_dict_pos, 20)\n",
    "eda_reviews_top_words_pos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "positive_bar_plot = top_words_bar_plot(eda_reviews_top_words_pos, \"Top 20 Positive Words\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>word</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>51</td>\n",
       "      <td>1426</td>\n",
       "      <td>harry</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>219</td>\n",
       "      <td>1094</td>\n",
       "      <td>but</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>114</td>\n",
       "      <td>1085</td>\n",
       "      <td>book</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>92</td>\n",
       "      <td>710</td>\n",
       "      <td>potter</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>38</td>\n",
       "      <td>636</td>\n",
       "      <td>out</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>255</td>\n",
       "      <td>616</td>\n",
       "      <td>like</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>10</td>\n",
       "      <td>552</td>\n",
       "      <td>were</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>43</td>\n",
       "      <td>484</td>\n",
       "      <td>would</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>103</td>\n",
       "      <td>481</td>\n",
       "      <td>books</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>48</td>\n",
       "      <td>477</td>\n",
       "      <td>about</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>125</td>\n",
       "      <td>464</td>\n",
       "      <td>who</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>207</td>\n",
       "      <td>444</td>\n",
       "      <td>read</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>85</td>\n",
       "      <td>429</td>\n",
       "      <td>more</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>57</td>\n",
       "      <td>427</td>\n",
       "      <td>much</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>171</td>\n",
       "      <td>417</td>\n",
       "      <td>how</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>84</td>\n",
       "      <td>410</td>\n",
       "      <td>even</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>47</td>\n",
       "      <td>400</td>\n",
       "      <td>good</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>211</td>\n",
       "      <td>398</td>\n",
       "      <td>movies</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>80</td>\n",
       "      <td>393</td>\n",
       "      <td>time</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>39</td>\n",
       "      <td>393</td>\n",
       "      <td>story</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     count    word\n",
       "51    1426   harry\n",
       "219   1094     but\n",
       "114   1085    book\n",
       "92     710  potter\n",
       "38     636     out\n",
       "255    616    like\n",
       "10     552    were\n",
       "43     484   would\n",
       "103    481   books\n",
       "48     477   about\n",
       "125    464     who\n",
       "207    444    read\n",
       "85     429    more\n",
       "57     427    much\n",
       "171    417     how\n",
       "84     410    even\n",
       "47     400    good\n",
       "211    398  movies\n",
       "80     393    time\n",
       "39     393   story"
      ]
     },
     "execution_count": 118,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Visualizing the top 12 words/characters\n",
    "eda_reviews_top_words_neg = word_freq_dict_to_df_top_words(stopwords_removed_dict_neg, 20)\n",
    "eda_reviews_top_words_neg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "negative_bar_plot = top_words_bar_plot(eda_reviews_top_words_neg, \"Top 20 Negative Words\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "***** Positive *****\n",
      "The total number of words is 89116\n",
      "The total number of unique words is 9059\n",
      "***** Negative *****\n",
      "The total number of words is 89368\n",
      "The total number of unique words is 9184\n"
     ]
    }
   ],
   "source": [
    "print(\"***** Positive *****\")\n",
    "total_words_unique_words(stopwords_removed_dict_pos)\n",
    "print(\"***** Negative *****\")\n",
    "total_words_unique_words(stopwords_removed_dict_neg)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 366,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Looking at stemming \n",
    "positive_df[\"stemmed\"] = positive_df[\"stopwords_removed\"].apply(lambda row: stem_fun(row))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 367,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>rating</th>\n",
       "      <th>review</th>\n",
       "      <th>new_review</th>\n",
       "      <th>percent_cap</th>\n",
       "      <th>review_tokenize</th>\n",
       "      <th>stopwords_removed</th>\n",
       "      <th>stemmed</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>The Magic Comes To Life!\\n== Once upon a time...</td>\n",
       "      <td>the magic comes life once upon time and not t...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>[the, magic, comes, life, once, upon, time, an...</td>\n",
       "      <td>[magic, comes, life, once, upon, time, long, a...</td>\n",
       "      <td>[magic, come, life, onc, upon, time, long, ago...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>Pure Magic\\n== This movie is a delight for th...</td>\n",
       "      <td>pure magic this movie delight for those all a...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>[pure, magic, this, movie, delight, for, those...</td>\n",
       "      <td>[pure, magic, delight, those, ages, seen, seve...</td>\n",
       "      <td>[pure, magic, delight, those, age, seen, sever...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>Enchantment, Trapdoor to Imaginary World.\\n==...</td>\n",
       "      <td>ian enchantment trapdoor imaginary world this...</td>\n",
       "      <td>0.002242</td>\n",
       "      <td>[ian, enchantment, trapdoor, imaginary, world,...</td>\n",
       "      <td>[ian, enchantment, trapdoor, imaginary, world,...</td>\n",
       "      <td>[ian, enchant, trapdoor, imaginari, world, tra...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>10</td>\n",
       "      <td>Harry Potter and the Sorcerer's Stone\\n== 10/...</td>\n",
       "      <td>harry potter and the sorcerer stone unforgett...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>[harry, potter, and, the, sorcerer, stone, unf...</td>\n",
       "      <td>[harry, potter, sorcerer, stone, unforgettable...</td>\n",
       "      <td>[harri, potter, sorcer, stone, unforgett, star...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "      <td>Great Journey to the Magic World\\n== I watch ...</td>\n",
       "      <td>great journey the magic world watch this movi...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>[great, journey, the, magic, world, watch, thi...</td>\n",
       "      <td>[great, journey, magic, world, watch, again, b...</td>\n",
       "      <td>[great, journey, magic, world, watch, again, b...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  rating                                             review  \\\n",
       "0     10   The Magic Comes To Life!\\n== Once upon a time...   \n",
       "1     10   Pure Magic\\n== This movie is a delight for th...   \n",
       "2     10   Enchantment, Trapdoor to Imaginary World.\\n==...   \n",
       "3     10   Harry Potter and the Sorcerer's Stone\\n== 10/...   \n",
       "4     10   Great Journey to the Magic World\\n== I watch ...   \n",
       "\n",
       "                                          new_review  percent_cap  \\\n",
       "0   the magic comes life once upon time and not t...     0.000000   \n",
       "1   pure magic this movie delight for those all a...     0.000000   \n",
       "2   ian enchantment trapdoor imaginary world this...     0.002242   \n",
       "3   harry potter and the sorcerer stone unforgett...     0.000000   \n",
       "4   great journey the magic world watch this movi...     0.000000   \n",
       "\n",
       "                                     review_tokenize  \\\n",
       "0  [the, magic, comes, life, once, upon, time, an...   \n",
       "1  [pure, magic, this, movie, delight, for, those...   \n",
       "2  [ian, enchantment, trapdoor, imaginary, world,...   \n",
       "3  [harry, potter, and, the, sorcerer, stone, unf...   \n",
       "4  [great, journey, the, magic, world, watch, thi...   \n",
       "\n",
       "                                   stopwords_removed  \\\n",
       "0  [magic, comes, life, once, upon, time, long, a...   \n",
       "1  [pure, magic, delight, those, ages, seen, seve...   \n",
       "2  [ian, enchantment, trapdoor, imaginary, world,...   \n",
       "3  [harry, potter, sorcerer, stone, unforgettable...   \n",
       "4  [great, journey, magic, world, watch, again, b...   \n",
       "\n",
       "                                             stemmed  \n",
       "0  [magic, come, life, onc, upon, time, long, ago...  \n",
       "1  [pure, magic, delight, those, age, seen, sever...  \n",
       "2  [ian, enchant, trapdoor, imaginari, world, tra...  \n",
       "3  [harri, potter, sorcer, stone, unforgett, star...  \n",
       "4  [great, journey, magic, world, watch, again, b...  "
      ]
     },
     "execution_count": 367,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "positive_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 368,
   "metadata": {},
   "outputs": [],
   "source": [
    "negative_df[\"stemmed\"] = negative_df[\"stopwords_removed\"].apply(lambda row: stem_fun(row))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 369,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>rating</th>\n",
       "      <th>review</th>\n",
       "      <th>new_review</th>\n",
       "      <th>percent_cap</th>\n",
       "      <th>review_tokenize</th>\n",
       "      <th>stopwords_removed</th>\n",
       "      <th>stemmed</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>For Kids Only, Unfortunately\\n==  *SLIGHT SPO...</td>\n",
       "      <td>slight spoilers for kids only unfortunately s...</td>\n",
       "      <td>0.010811</td>\n",
       "      <td>[slight, spoilers, for, kids, only, unfortunat...</td>\n",
       "      <td>[slight, spoilers, kids, only, unfortunately, ...</td>\n",
       "      <td>[slight, spoiler, kid, onli, unfortun, slight,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>An effects-laden excuse of an adaptation\\n== ...</td>\n",
       "      <td>effects laden excuse adaptation many viewers ...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>[effects, laden, excuse, adaptation, many, vie...</td>\n",
       "      <td>[effects, laden, excuse, adaptation, many, vie...</td>\n",
       "      <td>[effect, laden, excus, adapt, mani, viewer, ap...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>Hollywood's greatest shame.\\n== At first I li...</td>\n",
       "      <td>wow had ringwraiths entz shelob yeah hollywoo...</td>\n",
       "      <td>0.010187</td>\n",
       "      <td>[wow, had, ringwraiths, entz, shelob, yeah, ho...</td>\n",
       "      <td>[wow, had, ringwraiths, entz, shelob, yeah, ho...</td>\n",
       "      <td>[wow, had, ringwraith, entz, shelob, yeah, hol...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Dismal, Contrived, Ripoff and just plain dumb...</td>\n",
       "      <td>jrr dismal contrived ripoff and just plain du...</td>\n",
       "      <td>0.005952</td>\n",
       "      <td>[jrr, dismal, contrived, ripoff, and, just, pl...</td>\n",
       "      <td>[jrr, dismal, contrived, ripoff, plain, dumb, ...</td>\n",
       "      <td>[jrr, dismal, contriv, ripoff, plain, dumb, te...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>Great storytelling, no story\\n==  SPOILERS Be...</td>\n",
       "      <td>spoilers lot great storytelling story spoiler...</td>\n",
       "      <td>0.003333</td>\n",
       "      <td>[spoilers, lot, great, storytelling, story, sp...</td>\n",
       "      <td>[spoilers, lot, great, storytelling, story, sp...</td>\n",
       "      <td>[spoiler, lot, great, storytel, stori, spoiler...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  rating                                             review  \\\n",
       "0      1   For Kids Only, Unfortunately\\n==  *SLIGHT SPO...   \n",
       "1      1   An effects-laden excuse of an adaptation\\n== ...   \n",
       "2      1   Hollywood's greatest shame.\\n== At first I li...   \n",
       "3      1   Dismal, Contrived, Ripoff and just plain dumb...   \n",
       "4      1   Great storytelling, no story\\n==  SPOILERS Be...   \n",
       "\n",
       "                                          new_review  percent_cap  \\\n",
       "0   slight spoilers for kids only unfortunately s...     0.010811   \n",
       "1   effects laden excuse adaptation many viewers ...     0.000000   \n",
       "2   wow had ringwraiths entz shelob yeah hollywoo...     0.010187   \n",
       "3   jrr dismal contrived ripoff and just plain du...     0.005952   \n",
       "4   spoilers lot great storytelling story spoiler...     0.003333   \n",
       "\n",
       "                                     review_tokenize  \\\n",
       "0  [slight, spoilers, for, kids, only, unfortunat...   \n",
       "1  [effects, laden, excuse, adaptation, many, vie...   \n",
       "2  [wow, had, ringwraiths, entz, shelob, yeah, ho...   \n",
       "3  [jrr, dismal, contrived, ripoff, and, just, pl...   \n",
       "4  [spoilers, lot, great, storytelling, story, sp...   \n",
       "\n",
       "                                   stopwords_removed  \\\n",
       "0  [slight, spoilers, kids, only, unfortunately, ...   \n",
       "1  [effects, laden, excuse, adaptation, many, vie...   \n",
       "2  [wow, had, ringwraiths, entz, shelob, yeah, ho...   \n",
       "3  [jrr, dismal, contrived, ripoff, plain, dumb, ...   \n",
       "4  [spoilers, lot, great, storytelling, story, sp...   \n",
       "\n",
       "                                             stemmed  \n",
       "0  [slight, spoiler, kid, onli, unfortun, slight,...  \n",
       "1  [effect, laden, excus, adapt, mani, viewer, ap...  \n",
       "2  [wow, had, ringwraith, entz, shelob, yeah, hol...  \n",
       "3  [jrr, dismal, contriv, ripoff, plain, dumb, te...  \n",
       "4  [spoiler, lot, great, storytel, stori, spoiler...  "
      ]
     },
     "execution_count": 369,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "negative_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 370,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Now, I am going to visualize the stopwords_removed reviews and decide on what the next processing steps are. \n",
    "#Visualizing the data without the stopwords \n",
    "pos_viz = pd.DataFrame()\n",
    "pos_viz[\"stemmed\"] = positive_df[\"stemmed\"].copy()\n",
    "pos_viz[\"stemmed\"] = getting_data_ready_for_freq(pos_viz, \"stemmed\")\n",
    "stemmed_dict_pos = creating_freq_list_from_df_to_dict(pos_viz, \"stemmed\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 371,
   "metadata": {},
   "outputs": [],
   "source": [
    "neg_viz = pd.DataFrame()\n",
    "neg_viz[\"stemmed\"] = negative_df[\"stemmed\"].copy()\n",
    "neg_viz[\"stemmed\"] = getting_data_ready_for_freq(neg_viz, \"stemmed\")\n",
    "stemmed_dict_neg = creating_freq_list_from_df_to_dict(neg_viz, \"stemmed\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 372,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#creating an array of arrays for the mask from https://www.pinclipart.com/pindetail/TxmRT_flying-wizard-by-inexorabletruth-harry-potter-flying-silhouette/\n",
    "positive_word_cloud = create_word_cloud_with_mask(\"harry_broom.PNG\", stemmed_dict_pos, 750, \"Positive Review Word Cloud Stemmed\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#creating an array of arrays for the mask \n",
    "negative_word_cloud = create_word_cloud_with_mask(\"harry_broom.PNG\", stopwords_removed_dict_neg, 750, \"Negative Review Word Cloud Stemmed\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 373,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>word</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>18</td>\n",
       "      <td>1607</td>\n",
       "      <td>harri</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>56</td>\n",
       "      <td>1107</td>\n",
       "      <td>but</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>149</td>\n",
       "      <td>1027</td>\n",
       "      <td>book</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>46</td>\n",
       "      <td>981</td>\n",
       "      <td>potter</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>146</td>\n",
       "      <td>575</td>\n",
       "      <td>more</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13</td>\n",
       "      <td>490</td>\n",
       "      <td>charact</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>335</td>\n",
       "      <td>484</td>\n",
       "      <td>like</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>457</td>\n",
       "      <td>470</td>\n",
       "      <td>scene</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>129</td>\n",
       "      <td>469</td>\n",
       "      <td>will</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5</td>\n",
       "      <td>454</td>\n",
       "      <td>time</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>401</td>\n",
       "      <td>452</td>\n",
       "      <td>first</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>177</td>\n",
       "      <td>450</td>\n",
       "      <td>veri</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19</td>\n",
       "      <td>447</td>\n",
       "      <td>who</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>158</td>\n",
       "      <td>423</td>\n",
       "      <td>great</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>97</td>\n",
       "      <td>423</td>\n",
       "      <td>out</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>211</td>\n",
       "      <td>410</td>\n",
       "      <td>best</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>486</td>\n",
       "      <td>408</td>\n",
       "      <td>seri</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>100</td>\n",
       "      <td>408</td>\n",
       "      <td>some</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>475</td>\n",
       "      <td>406</td>\n",
       "      <td>see</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>218</td>\n",
       "      <td>397</td>\n",
       "      <td>part</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     count     word\n",
       "18    1607    harri\n",
       "56    1107      but\n",
       "149   1027     book\n",
       "46     981   potter\n",
       "146    575     more\n",
       "13     490  charact\n",
       "335    484     like\n",
       "457    470    scene\n",
       "129    469     will\n",
       "5      454     time\n",
       "401    452    first\n",
       "177    450     veri\n",
       "19     447      who\n",
       "158    423    great\n",
       "97     423      out\n",
       "211    410     best\n",
       "486    408     seri\n",
       "100    408     some\n",
       "475    406      see\n",
       "218    397     part"
      ]
     },
     "execution_count": 373,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Visualizing the top 12 words/characters\n",
    "eda_reviews_top_words_pos = word_freq_dict_to_df_top_words(stemmed_dict_pos, 20)\n",
    "eda_reviews_top_words_pos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 374,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "positive_bar_plot = top_words_bar_plot(eda_reviews_top_words_pos, \"Top 20 Positive Words\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 375,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>word</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>101</td>\n",
       "      <td>1566</td>\n",
       "      <td>book</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>50</td>\n",
       "      <td>1464</td>\n",
       "      <td>harri</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>211</td>\n",
       "      <td>1094</td>\n",
       "      <td>but</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>91</td>\n",
       "      <td>714</td>\n",
       "      <td>potter</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>181</td>\n",
       "      <td>694</td>\n",
       "      <td>like</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>37</td>\n",
       "      <td>636</td>\n",
       "      <td>out</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>10</td>\n",
       "      <td>552</td>\n",
       "      <td>were</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>628</td>\n",
       "      <td>549</td>\n",
       "      <td>scene</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>200</td>\n",
       "      <td>496</td>\n",
       "      <td>read</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>42</td>\n",
       "      <td>484</td>\n",
       "      <td>would</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>47</td>\n",
       "      <td>477</td>\n",
       "      <td>about</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>122</td>\n",
       "      <td>464</td>\n",
       "      <td>who</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>79</td>\n",
       "      <td>453</td>\n",
       "      <td>time</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>319</td>\n",
       "      <td>445</td>\n",
       "      <td>see</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>64</td>\n",
       "      <td>445</td>\n",
       "      <td>make</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>84</td>\n",
       "      <td>429</td>\n",
       "      <td>more</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>56</td>\n",
       "      <td>427</td>\n",
       "      <td>much</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>146</td>\n",
       "      <td>424</td>\n",
       "      <td>charact</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>165</td>\n",
       "      <td>417</td>\n",
       "      <td>how</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>83</td>\n",
       "      <td>413</td>\n",
       "      <td>even</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     count     word\n",
       "101   1566     book\n",
       "50    1464    harri\n",
       "211   1094      but\n",
       "91     714   potter\n",
       "181    694     like\n",
       "37     636      out\n",
       "10     552     were\n",
       "628    549    scene\n",
       "200    496     read\n",
       "42     484    would\n",
       "47     477    about\n",
       "122    464      who\n",
       "79     453     time\n",
       "319    445      see\n",
       "64     445     make\n",
       "84     429     more\n",
       "56     427     much\n",
       "146    424  charact\n",
       "165    417      how\n",
       "83     413     even"
      ]
     },
     "execution_count": 375,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Visualizing the top 12 words/characters\n",
    "eda_reviews_top_words_neg = word_freq_dict_to_df_top_words(stemmed_dict_neg, 20)\n",
    "eda_reviews_top_words_neg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 376,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "negative_bar_plot = top_words_bar_plot(eda_reviews_top_words_neg, \"Top 20 Negative Words\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "***** Positive *****\n",
      "The total number of words is 89116\n",
      "The total number of unique words is 6126\n",
      "***** Negative *****\n",
      "The total number of words is 89368\n",
      "The total number of unique words is 6417\n"
     ]
    }
   ],
   "source": [
    "print(\"***** Positive *****\")\n",
    "total_words_unique_words(stopwords_removed_dict_pos)\n",
    "print(\"***** Negative *****\")\n",
    "total_words_unique_words(stopwords_removed_dict_neg)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Reducing by sentiment instead of stemming... "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 377,
   "metadata": {},
   "outputs": [],
   "source": [
    "#For my new feature reduction and word removal. I am removing words based on sentiment \n",
    "positive_df[\"sentiment_reduced\"] = positive_df.apply(lambda row: pos_neg_words(row[\"stopwords_removed\"]), axis = 1)\n",
    "negative_df[\"sentiment_reduced\"] = negative_df.apply(lambda row: pos_neg_words(row[\"stopwords_removed\"]), axis = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 378,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>rating</th>\n",
       "      <th>review</th>\n",
       "      <th>new_review</th>\n",
       "      <th>percent_cap</th>\n",
       "      <th>review_tokenize</th>\n",
       "      <th>stopwords_removed</th>\n",
       "      <th>stemmed</th>\n",
       "      <th>sentiment_reduced</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>The Magic Comes To Life!\\n== Once upon a time...</td>\n",
       "      <td>the magic comes life once upon time and not t...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>[the, magic, comes, life, once, upon, time, an...</td>\n",
       "      <td>[magic, comes, life, once, upon, time, long, a...</td>\n",
       "      <td>[magic, come, life, onc, upon, time, long, ago...</td>\n",
       "      <td>[beloved, thanks, novel, well, witch, strange,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>Pure Magic\\n== This movie is a delight for th...</td>\n",
       "      <td>pure magic this movie delight for those all a...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>[pure, magic, this, movie, delight, for, those...</td>\n",
       "      <td>[pure, magic, delight, those, ages, seen, seve...</td>\n",
       "      <td>[pure, magic, delight, those, age, seen, sever...</td>\n",
       "      <td>[delight, enchanted, outstanding, special, del...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>Enchantment, Trapdoor to Imaginary World.\\n==...</td>\n",
       "      <td>ian enchantment trapdoor imaginary world this...</td>\n",
       "      <td>0.002242</td>\n",
       "      <td>[ian, enchantment, trapdoor, imaginary, world,...</td>\n",
       "      <td>[ian, enchantment, trapdoor, imaginary, world,...</td>\n",
       "      <td>[ian, enchant, trapdoor, imaginari, world, tra...</td>\n",
       "      <td>[trap, passion, like, missing, hard, wishes, l...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>10</td>\n",
       "      <td>Harry Potter and the Sorcerer's Stone\\n== 10/...</td>\n",
       "      <td>harry potter and the sorcerer stone unforgett...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>[harry, potter, and, the, sorcerer, stone, unf...</td>\n",
       "      <td>[harry, potter, sorcerer, stone, unforgettable...</td>\n",
       "      <td>[harri, potter, sorcer, stone, unforgett, star...</td>\n",
       "      <td>[fantastic]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "      <td>Great Journey to the Magic World\\n== I watch ...</td>\n",
       "      <td>great journey the magic world watch this movi...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>[great, journey, the, magic, world, watch, thi...</td>\n",
       "      <td>[great, journey, magic, world, watch, again, b...</td>\n",
       "      <td>[great, journey, magic, world, watch, again, b...</td>\n",
       "      <td>[great, amazing, miss, good, friendship, brave...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  rating                                             review  \\\n",
       "0     10   The Magic Comes To Life!\\n== Once upon a time...   \n",
       "1     10   Pure Magic\\n== This movie is a delight for th...   \n",
       "2     10   Enchantment, Trapdoor to Imaginary World.\\n==...   \n",
       "3     10   Harry Potter and the Sorcerer's Stone\\n== 10/...   \n",
       "4     10   Great Journey to the Magic World\\n== I watch ...   \n",
       "\n",
       "                                          new_review  percent_cap  \\\n",
       "0   the magic comes life once upon time and not t...     0.000000   \n",
       "1   pure magic this movie delight for those all a...     0.000000   \n",
       "2   ian enchantment trapdoor imaginary world this...     0.002242   \n",
       "3   harry potter and the sorcerer stone unforgett...     0.000000   \n",
       "4   great journey the magic world watch this movi...     0.000000   \n",
       "\n",
       "                                     review_tokenize  \\\n",
       "0  [the, magic, comes, life, once, upon, time, an...   \n",
       "1  [pure, magic, this, movie, delight, for, those...   \n",
       "2  [ian, enchantment, trapdoor, imaginary, world,...   \n",
       "3  [harry, potter, and, the, sorcerer, stone, unf...   \n",
       "4  [great, journey, the, magic, world, watch, thi...   \n",
       "\n",
       "                                   stopwords_removed  \\\n",
       "0  [magic, comes, life, once, upon, time, long, a...   \n",
       "1  [pure, magic, delight, those, ages, seen, seve...   \n",
       "2  [ian, enchantment, trapdoor, imaginary, world,...   \n",
       "3  [harry, potter, sorcerer, stone, unforgettable...   \n",
       "4  [great, journey, magic, world, watch, again, b...   \n",
       "\n",
       "                                             stemmed  \\\n",
       "0  [magic, come, life, onc, upon, time, long, ago...   \n",
       "1  [pure, magic, delight, those, age, seen, sever...   \n",
       "2  [ian, enchant, trapdoor, imaginari, world, tra...   \n",
       "3  [harri, potter, sorcer, stone, unforgett, star...   \n",
       "4  [great, journey, magic, world, watch, again, b...   \n",
       "\n",
       "                                   sentiment_reduced  \n",
       "0  [beloved, thanks, novel, well, witch, strange,...  \n",
       "1  [delight, enchanted, outstanding, special, del...  \n",
       "2  [trap, passion, like, missing, hard, wishes, l...  \n",
       "3                                        [fantastic]  \n",
       "4  [great, amazing, miss, good, friendship, brave...  "
      ]
     },
     "execution_count": 378,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "positive_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 379,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>rating</th>\n",
       "      <th>review</th>\n",
       "      <th>new_review</th>\n",
       "      <th>percent_cap</th>\n",
       "      <th>review_tokenize</th>\n",
       "      <th>stopwords_removed</th>\n",
       "      <th>stemmed</th>\n",
       "      <th>sentiment_reduced</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>For Kids Only, Unfortunately\\n==  *SLIGHT SPO...</td>\n",
       "      <td>slight spoilers for kids only unfortunately s...</td>\n",
       "      <td>0.010811</td>\n",
       "      <td>[slight, spoilers, for, kids, only, unfortunat...</td>\n",
       "      <td>[slight, spoilers, kids, only, unfortunately, ...</td>\n",
       "      <td>[slight, spoiler, kid, onli, unfortun, slight,...</td>\n",
       "      <td>[unfortunately, strange, definitely, trap, dis...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>An effects-laden excuse of an adaptation\\n== ...</td>\n",
       "      <td>effects laden excuse adaptation many viewers ...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>[effects, laden, excuse, adaptation, many, vie...</td>\n",
       "      <td>[effects, laden, excuse, adaptation, many, vie...</td>\n",
       "      <td>[effect, laden, excus, adapt, mani, viewer, ap...</td>\n",
       "      <td>[excuse, applaud, faithfulness, miss, dream, t...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>Hollywood's greatest shame.\\n== At first I li...</td>\n",
       "      <td>wow had ringwraiths entz shelob yeah hollywoo...</td>\n",
       "      <td>0.010187</td>\n",
       "      <td>[wow, had, ringwraiths, entz, shelob, yeah, ho...</td>\n",
       "      <td>[wow, had, ringwraiths, entz, shelob, yeah, ho...</td>\n",
       "      <td>[wow, had, ringwraith, entz, shelob, yeah, hol...</td>\n",
       "      <td>[wow, yeah, greatest, shame, liked, original, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Dismal, Contrived, Ripoff and just plain dumb...</td>\n",
       "      <td>jrr dismal contrived ripoff and just plain du...</td>\n",
       "      <td>0.005952</td>\n",
       "      <td>[jrr, dismal, contrived, ripoff, and, just, pl...</td>\n",
       "      <td>[jrr, dismal, contrived, ripoff, plain, dumb, ...</td>\n",
       "      <td>[jrr, dismal, contriv, ripoff, plain, dumb, te...</td>\n",
       "      <td>[dismal, dumb, terribly, like, problem, terrib...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>Great storytelling, no story\\n==  SPOILERS Be...</td>\n",
       "      <td>spoilers lot great storytelling story spoiler...</td>\n",
       "      <td>0.003333</td>\n",
       "      <td>[spoilers, lot, great, storytelling, story, sp...</td>\n",
       "      <td>[spoilers, lot, great, storytelling, story, sp...</td>\n",
       "      <td>[spoiler, lot, great, storytel, stori, spoiler...</td>\n",
       "      <td>[great, friends, rant, enthusiastically, creat...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  rating                                             review  \\\n",
       "0      1   For Kids Only, Unfortunately\\n==  *SLIGHT SPO...   \n",
       "1      1   An effects-laden excuse of an adaptation\\n== ...   \n",
       "2      1   Hollywood's greatest shame.\\n== At first I li...   \n",
       "3      1   Dismal, Contrived, Ripoff and just plain dumb...   \n",
       "4      1   Great storytelling, no story\\n==  SPOILERS Be...   \n",
       "\n",
       "                                          new_review  percent_cap  \\\n",
       "0   slight spoilers for kids only unfortunately s...     0.010811   \n",
       "1   effects laden excuse adaptation many viewers ...     0.000000   \n",
       "2   wow had ringwraiths entz shelob yeah hollywoo...     0.010187   \n",
       "3   jrr dismal contrived ripoff and just plain du...     0.005952   \n",
       "4   spoilers lot great storytelling story spoiler...     0.003333   \n",
       "\n",
       "                                     review_tokenize  \\\n",
       "0  [slight, spoilers, for, kids, only, unfortunat...   \n",
       "1  [effects, laden, excuse, adaptation, many, vie...   \n",
       "2  [wow, had, ringwraiths, entz, shelob, yeah, ho...   \n",
       "3  [jrr, dismal, contrived, ripoff, and, just, pl...   \n",
       "4  [spoilers, lot, great, storytelling, story, sp...   \n",
       "\n",
       "                                   stopwords_removed  \\\n",
       "0  [slight, spoilers, kids, only, unfortunately, ...   \n",
       "1  [effects, laden, excuse, adaptation, many, vie...   \n",
       "2  [wow, had, ringwraiths, entz, shelob, yeah, ho...   \n",
       "3  [jrr, dismal, contrived, ripoff, plain, dumb, ...   \n",
       "4  [spoilers, lot, great, storytelling, story, sp...   \n",
       "\n",
       "                                             stemmed  \\\n",
       "0  [slight, spoiler, kid, onli, unfortun, slight,...   \n",
       "1  [effect, laden, excus, adapt, mani, viewer, ap...   \n",
       "2  [wow, had, ringwraith, entz, shelob, yeah, hol...   \n",
       "3  [jrr, dismal, contriv, ripoff, plain, dumb, te...   \n",
       "4  [spoiler, lot, great, storytel, stori, spoiler...   \n",
       "\n",
       "                                   sentiment_reduced  \n",
       "0  [unfortunately, strange, definitely, trap, dis...  \n",
       "1  [excuse, applaud, faithfulness, miss, dream, t...  \n",
       "2  [wow, yeah, greatest, shame, liked, original, ...  \n",
       "3  [dismal, dumb, terribly, like, problem, terrib...  \n",
       "4  [great, friends, rant, enthusiastically, creat...  "
      ]
     },
     "execution_count": 379,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "negative_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 382,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Now, I am going to visualize the stopwords_removed reviews and decide on what the next processing steps are. \n",
    "#Visualizing the data without the stopwords \n",
    "pos_viz = pd.DataFrame()\n",
    "pos_viz[\"sentiment_reduced\"] = positive_df[\"sentiment_reduced\"].copy()\n",
    "pos_viz[\"sentiment_reduced\"] = getting_data_ready_for_freq(pos_viz, \"sentiment_reduced\")\n",
    "sentiment_reduced_dict_pos = creating_freq_list_from_df_to_dict(pos_viz, \"sentiment_reduced\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 383,
   "metadata": {},
   "outputs": [],
   "source": [
    "neg_viz = pd.DataFrame()\n",
    "neg_viz[\"sentiment_reduced\"] = negative_df[\"sentiment_reduced\"].copy()\n",
    "neg_viz[\"sentiment_reduced\"] = getting_data_ready_for_freq(neg_viz, \"sentiment_reduced\")\n",
    "sentiment_reduced_dict_neg = creating_freq_list_from_df_to_dict(neg_viz, \"sentiment_reduced\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 384,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#creating an array of arrays for the mask from http://getdrawings.com/hogwarts-silhouette-clipart\n",
    "positive_word_cloud = create_word_cloud_with_mask(\"dobby.PNG\", sentiment_reduced_dict_pos, 750, \"Positive Review Word Cloud Sentiment Reduced\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 385,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#mask from http://getdrawings.com/hogwarts-silhouette-clipart\n",
    "#creating an array of arrays for the mask \n",
    "negative_word_cloud = create_word_cloud_with_mask(\"dobby.PNG\", sentiment_reduced_dict_neg, 750, \"Negative Review Word Cloud Sentiment Reduced\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 386,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>word</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>12</td>\n",
       "      <td>417</td>\n",
       "      <td>great</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>25</td>\n",
       "      <td>410</td>\n",
       "      <td>best</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>45</td>\n",
       "      <td>404</td>\n",
       "      <td>like</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>79</td>\n",
       "      <td>385</td>\n",
       "      <td>good</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>366</td>\n",
       "      <td>well</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>216</td>\n",
       "      <td>220</td>\n",
       "      <td>better</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>43</td>\n",
       "      <td>167</td>\n",
       "      <td>love</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>77</td>\n",
       "      <td>147</td>\n",
       "      <td>amazing</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11</td>\n",
       "      <td>140</td>\n",
       "      <td>special</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6</td>\n",
       "      <td>125</td>\n",
       "      <td>perfect</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>83</td>\n",
       "      <td>111</td>\n",
       "      <td>death</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>197</td>\n",
       "      <td>105</td>\n",
       "      <td>fan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>29</td>\n",
       "      <td>98</td>\n",
       "      <td>wonderful</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>110</td>\n",
       "      <td>95</td>\n",
       "      <td>definitely</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>319</td>\n",
       "      <td>94</td>\n",
       "      <td>fire</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>30</td>\n",
       "      <td>92</td>\n",
       "      <td>excellent</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>114</td>\n",
       "      <td>92</td>\n",
       "      <td>brilliant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>174</td>\n",
       "      <td>90</td>\n",
       "      <td>favorite</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17</td>\n",
       "      <td>89</td>\n",
       "      <td>true</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>254</td>\n",
       "      <td>89</td>\n",
       "      <td>battle</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     count        word\n",
       "12     417       great\n",
       "25     410        best\n",
       "45     404        like\n",
       "79     385        good\n",
       "3      366        well\n",
       "216    220      better\n",
       "43     167        love\n",
       "77     147     amazing\n",
       "11     140     special\n",
       "6      125     perfect\n",
       "83     111       death\n",
       "197    105         fan\n",
       "29      98   wonderful\n",
       "110     95  definitely\n",
       "319     94        fire\n",
       "30      92   excellent\n",
       "114     92   brilliant\n",
       "174     90    favorite\n",
       "17      89        true\n",
       "254     89      battle"
      ]
     },
     "execution_count": 386,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Visualizing the top 12 words/characters\n",
    "eda_reviews_top_words_pos = word_freq_dict_to_df_top_words(sentiment_reduced_dict_pos, 20)\n",
    "eda_reviews_top_words_pos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 387,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "positive_bar_plot = top_words_bar_plot(eda_reviews_top_words_pos, \"Top 20 Positive Words\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 388,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>word</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>47</td>\n",
       "      <td>616</td>\n",
       "      <td>like</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5</td>\n",
       "      <td>400</td>\n",
       "      <td>good</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>46</td>\n",
       "      <td>247</td>\n",
       "      <td>well</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>57</td>\n",
       "      <td>212</td>\n",
       "      <td>bad</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>40</td>\n",
       "      <td>195</td>\n",
       "      <td>better</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>64</td>\n",
       "      <td>193</td>\n",
       "      <td>great</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>50</td>\n",
       "      <td>165</td>\n",
       "      <td>worst</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>127</td>\n",
       "      <td>disappointed</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>390</td>\n",
       "      <td>126</td>\n",
       "      <td>important</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>54</td>\n",
       "      <td>124</td>\n",
       "      <td>best</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>59</td>\n",
       "      <td>122</td>\n",
       "      <td>special</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>544</td>\n",
       "      <td>122</td>\n",
       "      <td>death</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>178</td>\n",
       "      <td>120</td>\n",
       "      <td>fan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7</td>\n",
       "      <td>112</td>\n",
       "      <td>cut</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>132</td>\n",
       "      <td>108</td>\n",
       "      <td>want</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>83</td>\n",
       "      <td>104</td>\n",
       "      <td>love</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>41</td>\n",
       "      <td>101</td>\n",
       "      <td>wrong</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12</td>\n",
       "      <td>89</td>\n",
       "      <td>hard</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>386</td>\n",
       "      <td>79</td>\n",
       "      <td>fire</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>95</td>\n",
       "      <td>79</td>\n",
       "      <td>boring</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     count          word\n",
       "47     616          like\n",
       "5      400          good\n",
       "46     247          well\n",
       "57     212           bad\n",
       "40     195        better\n",
       "64     193         great\n",
       "50     165         worst\n",
       "4      127  disappointed\n",
       "390    126     important\n",
       "54     124          best\n",
       "59     122       special\n",
       "544    122         death\n",
       "178    120           fan\n",
       "7      112           cut\n",
       "132    108          want\n",
       "83     104          love\n",
       "41     101         wrong\n",
       "12      89          hard\n",
       "386     79          fire\n",
       "95      79        boring"
      ]
     },
     "execution_count": 388,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Visualizing the top 12 words/characters\n",
    "eda_reviews_top_words_neg = word_freq_dict_to_df_top_words(sentiment_reduced_dict_neg, 20)\n",
    "eda_reviews_top_words_neg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 389,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "negative_bar_plot = top_words_bar_plot(eda_reviews_top_words_neg, \"Top 20 Negative Words\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 390,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "***** Positive *****\n",
      "The total number of words is 13685\n",
      "The total number of unique words is 1642\n",
      "***** Negative *****\n",
      "The total number of words is 13044\n",
      "The total number of unique words is 1627\n"
     ]
    }
   ],
   "source": [
    "print(\"***** Positive *****\")\n",
    "total_words_unique_words(sentiment_reduced_dict_pos)\n",
    "print(\"***** Negative *****\")\n",
    "total_words_unique_words(sentiment_reduced_dict_neg)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 391,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Exploring Bigrams \n",
    "positive_df[\"bigrams\"] = positive_df[\"review_tokenize\"].apply(lambda row: creating_ngrams(row, 2))\n",
    "negative_df[\"bigrams\"] = negative_df[\"review_tokenize\"].apply(lambda row: creating_ngrams(row, 2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 392,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>rating</th>\n",
       "      <th>review</th>\n",
       "      <th>new_review</th>\n",
       "      <th>percent_cap</th>\n",
       "      <th>review_tokenize</th>\n",
       "      <th>stopwords_removed</th>\n",
       "      <th>stemmed</th>\n",
       "      <th>sentiment_reduced</th>\n",
       "      <th>bigrams</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>The Magic Comes To Life!\\n== Once upon a time...</td>\n",
       "      <td>the magic comes life once upon time and not t...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>[the, magic, comes, life, once, upon, time, an...</td>\n",
       "      <td>[magic, comes, life, once, upon, time, long, a...</td>\n",
       "      <td>[magic, come, life, onc, upon, time, long, ago...</td>\n",
       "      <td>[beloved, thanks, novel, well, witch, strange,...</td>\n",
       "      <td>[the_magic, magic_comes, comes_life, life_once...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>Pure Magic\\n== This movie is a delight for th...</td>\n",
       "      <td>pure magic this movie delight for those all a...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>[pure, magic, this, movie, delight, for, those...</td>\n",
       "      <td>[pure, magic, delight, those, ages, seen, seve...</td>\n",
       "      <td>[pure, magic, delight, those, age, seen, sever...</td>\n",
       "      <td>[delight, enchanted, outstanding, special, del...</td>\n",
       "      <td>[pure_magic, magic_this, this_movie, movie_del...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>Enchantment, Trapdoor to Imaginary World.\\n==...</td>\n",
       "      <td>ian enchantment trapdoor imaginary world this...</td>\n",
       "      <td>0.002242</td>\n",
       "      <td>[ian, enchantment, trapdoor, imaginary, world,...</td>\n",
       "      <td>[ian, enchantment, trapdoor, imaginary, world,...</td>\n",
       "      <td>[ian, enchant, trapdoor, imaginari, world, tra...</td>\n",
       "      <td>[trap, passion, like, missing, hard, wishes, l...</td>\n",
       "      <td>[ian_enchantment, enchantment_trapdoor, trapdo...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>10</td>\n",
       "      <td>Harry Potter and the Sorcerer's Stone\\n== 10/...</td>\n",
       "      <td>harry potter and the sorcerer stone unforgett...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>[harry, potter, and, the, sorcerer, stone, unf...</td>\n",
       "      <td>[harry, potter, sorcerer, stone, unforgettable...</td>\n",
       "      <td>[harri, potter, sorcer, stone, unforgett, star...</td>\n",
       "      <td>[fantastic]</td>\n",
       "      <td>[harry_potter, potter_and, and_the, the_sorcer...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "      <td>Great Journey to the Magic World\\n== I watch ...</td>\n",
       "      <td>great journey the magic world watch this movi...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>[great, journey, the, magic, world, watch, thi...</td>\n",
       "      <td>[great, journey, magic, world, watch, again, b...</td>\n",
       "      <td>[great, journey, magic, world, watch, again, b...</td>\n",
       "      <td>[great, amazing, miss, good, friendship, brave...</td>\n",
       "      <td>[great_journey, journey_the, the_magic, magic_...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  rating                                             review  \\\n",
       "0     10   The Magic Comes To Life!\\n== Once upon a time...   \n",
       "1     10   Pure Magic\\n== This movie is a delight for th...   \n",
       "2     10   Enchantment, Trapdoor to Imaginary World.\\n==...   \n",
       "3     10   Harry Potter and the Sorcerer's Stone\\n== 10/...   \n",
       "4     10   Great Journey to the Magic World\\n== I watch ...   \n",
       "\n",
       "                                          new_review  percent_cap  \\\n",
       "0   the magic comes life once upon time and not t...     0.000000   \n",
       "1   pure magic this movie delight for those all a...     0.000000   \n",
       "2   ian enchantment trapdoor imaginary world this...     0.002242   \n",
       "3   harry potter and the sorcerer stone unforgett...     0.000000   \n",
       "4   great journey the magic world watch this movi...     0.000000   \n",
       "\n",
       "                                     review_tokenize  \\\n",
       "0  [the, magic, comes, life, once, upon, time, an...   \n",
       "1  [pure, magic, this, movie, delight, for, those...   \n",
       "2  [ian, enchantment, trapdoor, imaginary, world,...   \n",
       "3  [harry, potter, and, the, sorcerer, stone, unf...   \n",
       "4  [great, journey, the, magic, world, watch, thi...   \n",
       "\n",
       "                                   stopwords_removed  \\\n",
       "0  [magic, comes, life, once, upon, time, long, a...   \n",
       "1  [pure, magic, delight, those, ages, seen, seve...   \n",
       "2  [ian, enchantment, trapdoor, imaginary, world,...   \n",
       "3  [harry, potter, sorcerer, stone, unforgettable...   \n",
       "4  [great, journey, magic, world, watch, again, b...   \n",
       "\n",
       "                                             stemmed  \\\n",
       "0  [magic, come, life, onc, upon, time, long, ago...   \n",
       "1  [pure, magic, delight, those, age, seen, sever...   \n",
       "2  [ian, enchant, trapdoor, imaginari, world, tra...   \n",
       "3  [harri, potter, sorcer, stone, unforgett, star...   \n",
       "4  [great, journey, magic, world, watch, again, b...   \n",
       "\n",
       "                                   sentiment_reduced  \\\n",
       "0  [beloved, thanks, novel, well, witch, strange,...   \n",
       "1  [delight, enchanted, outstanding, special, del...   \n",
       "2  [trap, passion, like, missing, hard, wishes, l...   \n",
       "3                                        [fantastic]   \n",
       "4  [great, amazing, miss, good, friendship, brave...   \n",
       "\n",
       "                                             bigrams  \n",
       "0  [the_magic, magic_comes, comes_life, life_once...  \n",
       "1  [pure_magic, magic_this, this_movie, movie_del...  \n",
       "2  [ian_enchantment, enchantment_trapdoor, trapdo...  \n",
       "3  [harry_potter, potter_and, and_the, the_sorcer...  \n",
       "4  [great_journey, journey_the, the_magic, magic_...  "
      ]
     },
     "execution_count": 392,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "positive_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 393,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>rating</th>\n",
       "      <th>review</th>\n",
       "      <th>new_review</th>\n",
       "      <th>percent_cap</th>\n",
       "      <th>review_tokenize</th>\n",
       "      <th>stopwords_removed</th>\n",
       "      <th>stemmed</th>\n",
       "      <th>sentiment_reduced</th>\n",
       "      <th>bigrams</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>For Kids Only, Unfortunately\\n==  *SLIGHT SPO...</td>\n",
       "      <td>slight spoilers for kids only unfortunately s...</td>\n",
       "      <td>0.010811</td>\n",
       "      <td>[slight, spoilers, for, kids, only, unfortunat...</td>\n",
       "      <td>[slight, spoilers, kids, only, unfortunately, ...</td>\n",
       "      <td>[slight, spoiler, kid, onli, unfortun, slight,...</td>\n",
       "      <td>[unfortunately, strange, definitely, trap, dis...</td>\n",
       "      <td>[slight_spoilers, spoilers_for, for_kids, kids...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>An effects-laden excuse of an adaptation\\n== ...</td>\n",
       "      <td>effects laden excuse adaptation many viewers ...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>[effects, laden, excuse, adaptation, many, vie...</td>\n",
       "      <td>[effects, laden, excuse, adaptation, many, vie...</td>\n",
       "      <td>[effect, laden, excus, adapt, mani, viewer, ap...</td>\n",
       "      <td>[excuse, applaud, faithfulness, miss, dream, t...</td>\n",
       "      <td>[effects_laden, laden_excuse, excuse_adaptatio...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>Hollywood's greatest shame.\\n== At first I li...</td>\n",
       "      <td>wow had ringwraiths entz shelob yeah hollywoo...</td>\n",
       "      <td>0.010187</td>\n",
       "      <td>[wow, had, ringwraiths, entz, shelob, yeah, ho...</td>\n",
       "      <td>[wow, had, ringwraiths, entz, shelob, yeah, ho...</td>\n",
       "      <td>[wow, had, ringwraith, entz, shelob, yeah, hol...</td>\n",
       "      <td>[wow, yeah, greatest, shame, liked, original, ...</td>\n",
       "      <td>[wow_had, had_ringwraiths, ringwraiths_entz, e...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Dismal, Contrived, Ripoff and just plain dumb...</td>\n",
       "      <td>jrr dismal contrived ripoff and just plain du...</td>\n",
       "      <td>0.005952</td>\n",
       "      <td>[jrr, dismal, contrived, ripoff, and, just, pl...</td>\n",
       "      <td>[jrr, dismal, contrived, ripoff, plain, dumb, ...</td>\n",
       "      <td>[jrr, dismal, contriv, ripoff, plain, dumb, te...</td>\n",
       "      <td>[dismal, dumb, terribly, like, problem, terrib...</td>\n",
       "      <td>[jrr_dismal, dismal_contrived, contrived_ripof...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>Great storytelling, no story\\n==  SPOILERS Be...</td>\n",
       "      <td>spoilers lot great storytelling story spoiler...</td>\n",
       "      <td>0.003333</td>\n",
       "      <td>[spoilers, lot, great, storytelling, story, sp...</td>\n",
       "      <td>[spoilers, lot, great, storytelling, story, sp...</td>\n",
       "      <td>[spoiler, lot, great, storytel, stori, spoiler...</td>\n",
       "      <td>[great, friends, rant, enthusiastically, creat...</td>\n",
       "      <td>[spoilers_lot, lot_great, great_storytelling, ...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  rating                                             review  \\\n",
       "0      1   For Kids Only, Unfortunately\\n==  *SLIGHT SPO...   \n",
       "1      1   An effects-laden excuse of an adaptation\\n== ...   \n",
       "2      1   Hollywood's greatest shame.\\n== At first I li...   \n",
       "3      1   Dismal, Contrived, Ripoff and just plain dumb...   \n",
       "4      1   Great storytelling, no story\\n==  SPOILERS Be...   \n",
       "\n",
       "                                          new_review  percent_cap  \\\n",
       "0   slight spoilers for kids only unfortunately s...     0.010811   \n",
       "1   effects laden excuse adaptation many viewers ...     0.000000   \n",
       "2   wow had ringwraiths entz shelob yeah hollywoo...     0.010187   \n",
       "3   jrr dismal contrived ripoff and just plain du...     0.005952   \n",
       "4   spoilers lot great storytelling story spoiler...     0.003333   \n",
       "\n",
       "                                     review_tokenize  \\\n",
       "0  [slight, spoilers, for, kids, only, unfortunat...   \n",
       "1  [effects, laden, excuse, adaptation, many, vie...   \n",
       "2  [wow, had, ringwraiths, entz, shelob, yeah, ho...   \n",
       "3  [jrr, dismal, contrived, ripoff, and, just, pl...   \n",
       "4  [spoilers, lot, great, storytelling, story, sp...   \n",
       "\n",
       "                                   stopwords_removed  \\\n",
       "0  [slight, spoilers, kids, only, unfortunately, ...   \n",
       "1  [effects, laden, excuse, adaptation, many, vie...   \n",
       "2  [wow, had, ringwraiths, entz, shelob, yeah, ho...   \n",
       "3  [jrr, dismal, contrived, ripoff, plain, dumb, ...   \n",
       "4  [spoilers, lot, great, storytelling, story, sp...   \n",
       "\n",
       "                                             stemmed  \\\n",
       "0  [slight, spoiler, kid, onli, unfortun, slight,...   \n",
       "1  [effect, laden, excus, adapt, mani, viewer, ap...   \n",
       "2  [wow, had, ringwraith, entz, shelob, yeah, hol...   \n",
       "3  [jrr, dismal, contriv, ripoff, plain, dumb, te...   \n",
       "4  [spoiler, lot, great, storytel, stori, spoiler...   \n",
       "\n",
       "                                   sentiment_reduced  \\\n",
       "0  [unfortunately, strange, definitely, trap, dis...   \n",
       "1  [excuse, applaud, faithfulness, miss, dream, t...   \n",
       "2  [wow, yeah, greatest, shame, liked, original, ...   \n",
       "3  [dismal, dumb, terribly, like, problem, terrib...   \n",
       "4  [great, friends, rant, enthusiastically, creat...   \n",
       "\n",
       "                                             bigrams  \n",
       "0  [slight_spoilers, spoilers_for, for_kids, kids...  \n",
       "1  [effects_laden, laden_excuse, excuse_adaptatio...  \n",
       "2  [wow_had, had_ringwraiths, ringwraiths_entz, e...  \n",
       "3  [jrr_dismal, dismal_contrived, contrived_ripof...  \n",
       "4  [spoilers_lot, lot_great, great_storytelling, ...  "
      ]
     },
     "execution_count": 393,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "negative_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 394,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Creating bigrams with the stopwords_removed df \n",
    "positive_df[\"bigrams_stopwords_removed\"] = positive_df[\"stopwords_removed\"].apply(lambda row: creating_ngrams(row, 2))\n",
    "negative_df[\"bigrams_stopwords_removed\"] = negative_df[\"stopwords_removed\"].apply(lambda row: creating_ngrams(row, 2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 395,
   "metadata": {},
   "outputs": [],
   "source": [
    "#repeating the process for trigrams only for the review_tokenize \n",
    "positive_df[\"fourgrams\"] = positive_df[\"review_tokenize\"].apply(lambda row: creating_ngrams(row, 4))\n",
    "negative_df[\"fourgrams\"] = negative_df[\"review_tokenize\"].apply(lambda row: creating_ngrams(row, 4))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 396,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>rating</th>\n",
       "      <th>review</th>\n",
       "      <th>new_review</th>\n",
       "      <th>percent_cap</th>\n",
       "      <th>review_tokenize</th>\n",
       "      <th>stopwords_removed</th>\n",
       "      <th>stemmed</th>\n",
       "      <th>sentiment_reduced</th>\n",
       "      <th>bigrams</th>\n",
       "      <th>bigrams_stopwords_removed</th>\n",
       "      <th>fourgrams</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>The Magic Comes To Life!\\n== Once upon a time...</td>\n",
       "      <td>the magic comes life once upon time and not t...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>[the, magic, comes, life, once, upon, time, an...</td>\n",
       "      <td>[magic, comes, life, once, upon, time, long, a...</td>\n",
       "      <td>[magic, come, life, onc, upon, time, long, ago...</td>\n",
       "      <td>[beloved, thanks, novel, well, witch, strange,...</td>\n",
       "      <td>[the_magic, magic_comes, comes_life, life_once...</td>\n",
       "      <td>[magic_comes, comes_life, life_once, once_upon...</td>\n",
       "      <td>[the_magic_comes_life, magic_comes_life_once, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>Pure Magic\\n== This movie is a delight for th...</td>\n",
       "      <td>pure magic this movie delight for those all a...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>[pure, magic, this, movie, delight, for, those...</td>\n",
       "      <td>[pure, magic, delight, those, ages, seen, seve...</td>\n",
       "      <td>[pure, magic, delight, those, age, seen, sever...</td>\n",
       "      <td>[delight, enchanted, outstanding, special, del...</td>\n",
       "      <td>[pure_magic, magic_this, this_movie, movie_del...</td>\n",
       "      <td>[pure_magic, magic_delight, delight_those, tho...</td>\n",
       "      <td>[pure_magic_this_movie, magic_this_movie_delig...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>Enchantment, Trapdoor to Imaginary World.\\n==...</td>\n",
       "      <td>ian enchantment trapdoor imaginary world this...</td>\n",
       "      <td>0.002242</td>\n",
       "      <td>[ian, enchantment, trapdoor, imaginary, world,...</td>\n",
       "      <td>[ian, enchantment, trapdoor, imaginary, world,...</td>\n",
       "      <td>[ian, enchant, trapdoor, imaginari, world, tra...</td>\n",
       "      <td>[trap, passion, like, missing, hard, wishes, l...</td>\n",
       "      <td>[ian_enchantment, enchantment_trapdoor, trapdo...</td>\n",
       "      <td>[ian_enchantment, enchantment_trapdoor, trapdo...</td>\n",
       "      <td>[ian_enchantment_trapdoor_imaginary, enchantme...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>10</td>\n",
       "      <td>Harry Potter and the Sorcerer's Stone\\n== 10/...</td>\n",
       "      <td>harry potter and the sorcerer stone unforgett...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>[harry, potter, and, the, sorcerer, stone, unf...</td>\n",
       "      <td>[harry, potter, sorcerer, stone, unforgettable...</td>\n",
       "      <td>[harri, potter, sorcer, stone, unforgett, star...</td>\n",
       "      <td>[fantastic]</td>\n",
       "      <td>[harry_potter, potter_and, and_the, the_sorcer...</td>\n",
       "      <td>[harry_potter, potter_sorcerer, sorcerer_stone...</td>\n",
       "      <td>[harry_potter_and_the, potter_and_the_sorcerer...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "      <td>Great Journey to the Magic World\\n== I watch ...</td>\n",
       "      <td>great journey the magic world watch this movi...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>[great, journey, the, magic, world, watch, thi...</td>\n",
       "      <td>[great, journey, magic, world, watch, again, b...</td>\n",
       "      <td>[great, journey, magic, world, watch, again, b...</td>\n",
       "      <td>[great, amazing, miss, good, friendship, brave...</td>\n",
       "      <td>[great_journey, journey_the, the_magic, magic_...</td>\n",
       "      <td>[great_journey, journey_magic, magic_world, wo...</td>\n",
       "      <td>[great_journey_the_magic, journey_the_magic_wo...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  rating                                             review  \\\n",
       "0     10   The Magic Comes To Life!\\n== Once upon a time...   \n",
       "1     10   Pure Magic\\n== This movie is a delight for th...   \n",
       "2     10   Enchantment, Trapdoor to Imaginary World.\\n==...   \n",
       "3     10   Harry Potter and the Sorcerer's Stone\\n== 10/...   \n",
       "4     10   Great Journey to the Magic World\\n== I watch ...   \n",
       "\n",
       "                                          new_review  percent_cap  \\\n",
       "0   the magic comes life once upon time and not t...     0.000000   \n",
       "1   pure magic this movie delight for those all a...     0.000000   \n",
       "2   ian enchantment trapdoor imaginary world this...     0.002242   \n",
       "3   harry potter and the sorcerer stone unforgett...     0.000000   \n",
       "4   great journey the magic world watch this movi...     0.000000   \n",
       "\n",
       "                                     review_tokenize  \\\n",
       "0  [the, magic, comes, life, once, upon, time, an...   \n",
       "1  [pure, magic, this, movie, delight, for, those...   \n",
       "2  [ian, enchantment, trapdoor, imaginary, world,...   \n",
       "3  [harry, potter, and, the, sorcerer, stone, unf...   \n",
       "4  [great, journey, the, magic, world, watch, thi...   \n",
       "\n",
       "                                   stopwords_removed  \\\n",
       "0  [magic, comes, life, once, upon, time, long, a...   \n",
       "1  [pure, magic, delight, those, ages, seen, seve...   \n",
       "2  [ian, enchantment, trapdoor, imaginary, world,...   \n",
       "3  [harry, potter, sorcerer, stone, unforgettable...   \n",
       "4  [great, journey, magic, world, watch, again, b...   \n",
       "\n",
       "                                             stemmed  \\\n",
       "0  [magic, come, life, onc, upon, time, long, ago...   \n",
       "1  [pure, magic, delight, those, age, seen, sever...   \n",
       "2  [ian, enchant, trapdoor, imaginari, world, tra...   \n",
       "3  [harri, potter, sorcer, stone, unforgett, star...   \n",
       "4  [great, journey, magic, world, watch, again, b...   \n",
       "\n",
       "                                   sentiment_reduced  \\\n",
       "0  [beloved, thanks, novel, well, witch, strange,...   \n",
       "1  [delight, enchanted, outstanding, special, del...   \n",
       "2  [trap, passion, like, missing, hard, wishes, l...   \n",
       "3                                        [fantastic]   \n",
       "4  [great, amazing, miss, good, friendship, brave...   \n",
       "\n",
       "                                             bigrams  \\\n",
       "0  [the_magic, magic_comes, comes_life, life_once...   \n",
       "1  [pure_magic, magic_this, this_movie, movie_del...   \n",
       "2  [ian_enchantment, enchantment_trapdoor, trapdo...   \n",
       "3  [harry_potter, potter_and, and_the, the_sorcer...   \n",
       "4  [great_journey, journey_the, the_magic, magic_...   \n",
       "\n",
       "                           bigrams_stopwords_removed  \\\n",
       "0  [magic_comes, comes_life, life_once, once_upon...   \n",
       "1  [pure_magic, magic_delight, delight_those, tho...   \n",
       "2  [ian_enchantment, enchantment_trapdoor, trapdo...   \n",
       "3  [harry_potter, potter_sorcerer, sorcerer_stone...   \n",
       "4  [great_journey, journey_magic, magic_world, wo...   \n",
       "\n",
       "                                           fourgrams  \n",
       "0  [the_magic_comes_life, magic_comes_life_once, ...  \n",
       "1  [pure_magic_this_movie, magic_this_movie_delig...  \n",
       "2  [ian_enchantment_trapdoor_imaginary, enchantme...  \n",
       "3  [harry_potter_and_the, potter_and_the_sorcerer...  \n",
       "4  [great_journey_the_magic, journey_the_magic_wo...  "
      ]
     },
     "execution_count": 396,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "positive_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 397,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>rating</th>\n",
       "      <th>review</th>\n",
       "      <th>new_review</th>\n",
       "      <th>percent_cap</th>\n",
       "      <th>review_tokenize</th>\n",
       "      <th>stopwords_removed</th>\n",
       "      <th>stemmed</th>\n",
       "      <th>sentiment_reduced</th>\n",
       "      <th>bigrams</th>\n",
       "      <th>bigrams_stopwords_removed</th>\n",
       "      <th>fourgrams</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>For Kids Only, Unfortunately\\n==  *SLIGHT SPO...</td>\n",
       "      <td>slight spoilers for kids only unfortunately s...</td>\n",
       "      <td>0.010811</td>\n",
       "      <td>[slight, spoilers, for, kids, only, unfortunat...</td>\n",
       "      <td>[slight, spoilers, kids, only, unfortunately, ...</td>\n",
       "      <td>[slight, spoiler, kid, onli, unfortun, slight,...</td>\n",
       "      <td>[unfortunately, strange, definitely, trap, dis...</td>\n",
       "      <td>[slight_spoilers, spoilers_for, for_kids, kids...</td>\n",
       "      <td>[slight_spoilers, spoilers_kids, kids_only, on...</td>\n",
       "      <td>[slight_spoilers_for_kids, spoilers_for_kids_o...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>An effects-laden excuse of an adaptation\\n== ...</td>\n",
       "      <td>effects laden excuse adaptation many viewers ...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>[effects, laden, excuse, adaptation, many, vie...</td>\n",
       "      <td>[effects, laden, excuse, adaptation, many, vie...</td>\n",
       "      <td>[effect, laden, excus, adapt, mani, viewer, ap...</td>\n",
       "      <td>[excuse, applaud, faithfulness, miss, dream, t...</td>\n",
       "      <td>[effects_laden, laden_excuse, excuse_adaptatio...</td>\n",
       "      <td>[effects_laden, laden_excuse, excuse_adaptatio...</td>\n",
       "      <td>[effects_laden_excuse_adaptation, laden_excuse...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>Hollywood's greatest shame.\\n== At first I li...</td>\n",
       "      <td>wow had ringwraiths entz shelob yeah hollywoo...</td>\n",
       "      <td>0.010187</td>\n",
       "      <td>[wow, had, ringwraiths, entz, shelob, yeah, ho...</td>\n",
       "      <td>[wow, had, ringwraiths, entz, shelob, yeah, ho...</td>\n",
       "      <td>[wow, had, ringwraith, entz, shelob, yeah, hol...</td>\n",
       "      <td>[wow, yeah, greatest, shame, liked, original, ...</td>\n",
       "      <td>[wow_had, had_ringwraiths, ringwraiths_entz, e...</td>\n",
       "      <td>[wow_had, had_ringwraiths, ringwraiths_entz, e...</td>\n",
       "      <td>[wow_had_ringwraiths_entz, had_ringwraiths_ent...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Dismal, Contrived, Ripoff and just plain dumb...</td>\n",
       "      <td>jrr dismal contrived ripoff and just plain du...</td>\n",
       "      <td>0.005952</td>\n",
       "      <td>[jrr, dismal, contrived, ripoff, and, just, pl...</td>\n",
       "      <td>[jrr, dismal, contrived, ripoff, plain, dumb, ...</td>\n",
       "      <td>[jrr, dismal, contriv, ripoff, plain, dumb, te...</td>\n",
       "      <td>[dismal, dumb, terribly, like, problem, terrib...</td>\n",
       "      <td>[jrr_dismal, dismal_contrived, contrived_ripof...</td>\n",
       "      <td>[jrr_dismal, dismal_contrived, contrived_ripof...</td>\n",
       "      <td>[jrr_dismal_contrived_ripoff, dismal_contrived...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>Great storytelling, no story\\n==  SPOILERS Be...</td>\n",
       "      <td>spoilers lot great storytelling story spoiler...</td>\n",
       "      <td>0.003333</td>\n",
       "      <td>[spoilers, lot, great, storytelling, story, sp...</td>\n",
       "      <td>[spoilers, lot, great, storytelling, story, sp...</td>\n",
       "      <td>[spoiler, lot, great, storytel, stori, spoiler...</td>\n",
       "      <td>[great, friends, rant, enthusiastically, creat...</td>\n",
       "      <td>[spoilers_lot, lot_great, great_storytelling, ...</td>\n",
       "      <td>[spoilers_lot, lot_great, great_storytelling, ...</td>\n",
       "      <td>[spoilers_lot_great_storytelling, lot_great_st...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  rating                                             review  \\\n",
       "0      1   For Kids Only, Unfortunately\\n==  *SLIGHT SPO...   \n",
       "1      1   An effects-laden excuse of an adaptation\\n== ...   \n",
       "2      1   Hollywood's greatest shame.\\n== At first I li...   \n",
       "3      1   Dismal, Contrived, Ripoff and just plain dumb...   \n",
       "4      1   Great storytelling, no story\\n==  SPOILERS Be...   \n",
       "\n",
       "                                          new_review  percent_cap  \\\n",
       "0   slight spoilers for kids only unfortunately s...     0.010811   \n",
       "1   effects laden excuse adaptation many viewers ...     0.000000   \n",
       "2   wow had ringwraiths entz shelob yeah hollywoo...     0.010187   \n",
       "3   jrr dismal contrived ripoff and just plain du...     0.005952   \n",
       "4   spoilers lot great storytelling story spoiler...     0.003333   \n",
       "\n",
       "                                     review_tokenize  \\\n",
       "0  [slight, spoilers, for, kids, only, unfortunat...   \n",
       "1  [effects, laden, excuse, adaptation, many, vie...   \n",
       "2  [wow, had, ringwraiths, entz, shelob, yeah, ho...   \n",
       "3  [jrr, dismal, contrived, ripoff, and, just, pl...   \n",
       "4  [spoilers, lot, great, storytelling, story, sp...   \n",
       "\n",
       "                                   stopwords_removed  \\\n",
       "0  [slight, spoilers, kids, only, unfortunately, ...   \n",
       "1  [effects, laden, excuse, adaptation, many, vie...   \n",
       "2  [wow, had, ringwraiths, entz, shelob, yeah, ho...   \n",
       "3  [jrr, dismal, contrived, ripoff, plain, dumb, ...   \n",
       "4  [spoilers, lot, great, storytelling, story, sp...   \n",
       "\n",
       "                                             stemmed  \\\n",
       "0  [slight, spoiler, kid, onli, unfortun, slight,...   \n",
       "1  [effect, laden, excus, adapt, mani, viewer, ap...   \n",
       "2  [wow, had, ringwraith, entz, shelob, yeah, hol...   \n",
       "3  [jrr, dismal, contriv, ripoff, plain, dumb, te...   \n",
       "4  [spoiler, lot, great, storytel, stori, spoiler...   \n",
       "\n",
       "                                   sentiment_reduced  \\\n",
       "0  [unfortunately, strange, definitely, trap, dis...   \n",
       "1  [excuse, applaud, faithfulness, miss, dream, t...   \n",
       "2  [wow, yeah, greatest, shame, liked, original, ...   \n",
       "3  [dismal, dumb, terribly, like, problem, terrib...   \n",
       "4  [great, friends, rant, enthusiastically, creat...   \n",
       "\n",
       "                                             bigrams  \\\n",
       "0  [slight_spoilers, spoilers_for, for_kids, kids...   \n",
       "1  [effects_laden, laden_excuse, excuse_adaptatio...   \n",
       "2  [wow_had, had_ringwraiths, ringwraiths_entz, e...   \n",
       "3  [jrr_dismal, dismal_contrived, contrived_ripof...   \n",
       "4  [spoilers_lot, lot_great, great_storytelling, ...   \n",
       "\n",
       "                           bigrams_stopwords_removed  \\\n",
       "0  [slight_spoilers, spoilers_kids, kids_only, on...   \n",
       "1  [effects_laden, laden_excuse, excuse_adaptatio...   \n",
       "2  [wow_had, had_ringwraiths, ringwraiths_entz, e...   \n",
       "3  [jrr_dismal, dismal_contrived, contrived_ripof...   \n",
       "4  [spoilers_lot, lot_great, great_storytelling, ...   \n",
       "\n",
       "                                           fourgrams  \n",
       "0  [slight_spoilers_for_kids, spoilers_for_kids_o...  \n",
       "1  [effects_laden_excuse_adaptation, laden_excuse...  \n",
       "2  [wow_had_ringwraiths_entz, had_ringwraiths_ent...  \n",
       "3  [jrr_dismal_contrived_ripoff, dismal_contrived...  \n",
       "4  [spoilers_lot_great_storytelling, lot_great_st...  "
      ]
     },
     "execution_count": 397,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "negative_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 399,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Visualizing bigrams \n",
    "#Now, I am going to visualize the stopwords_removed reviews and decide on what the next processing steps are. \n",
    "#Visualizing the data without the stopwords \n",
    "pos_viz = pd.DataFrame()\n",
    "pos_viz[\"bigrams\"] = positive_df[\"bigrams\"].copy()\n",
    "pos_viz[\"bigrams\"] = getting_data_ready_for_freq(pos_viz, \"bigrams\")\n",
    "bigrams_dict_pos = creating_freq_list_from_df_to_dict(pos_viz, \"bigrams\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 400,
   "metadata": {},
   "outputs": [],
   "source": [
    "neg_viz = pd.DataFrame()\n",
    "neg_viz[\"bigrams\"] = negative_df[\"bigrams\"].copy()\n",
    "neg_viz[\"bigrams\"] = getting_data_ready_for_freq(neg_viz, \"bigrams\")\n",
    "bigrams_dict_neg = creating_freq_list_from_df_to_dict(neg_viz, \"bigrams\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 402,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#creating an array of arrays for the mask from http://getdrawings.com/hogwarts-silhouette-clipart\n",
    "positive_word_cloud = create_word_cloud_with_mask(\"harry_potter.PNG\", bigrams_dict_pos, 750, \"Positive Review Word Cloud Bigrams\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 403,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#creating an array of arrays for the mask \n",
    "negative_word_cloud = create_word_cloud_with_mask(\"harry_potter.PNG\", bigrams_dict_neg, 750, \"Negative Review Word Cloud Bigrams\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 404,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>word</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>77</td>\n",
       "      <td>802</td>\n",
       "      <td>harry_potter</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>79</td>\n",
       "      <td>598</td>\n",
       "      <td>and_the</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>657</td>\n",
       "      <td>500</td>\n",
       "      <td>the_movie</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1790</td>\n",
       "      <td>492</td>\n",
       "      <td>the_book</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>524</td>\n",
       "      <td>449</td>\n",
       "      <td>the_film</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>746</td>\n",
       "      <td>358</td>\n",
       "      <td>this_movie</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>88</td>\n",
       "      <td>337</td>\n",
       "      <td>for_the</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>839</td>\n",
       "      <td>331</td>\n",
       "      <td>the_first</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>404</td>\n",
       "      <td>286</td>\n",
       "      <td>the_best</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>65</td>\n",
       "      <td>263</td>\n",
       "      <td>from_the</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>413</td>\n",
       "      <td>250</td>\n",
       "      <td>this_film</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>529</td>\n",
       "      <td>239</td>\n",
       "      <td>with_the</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>78</td>\n",
       "      <td>238</td>\n",
       "      <td>potter_and</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1690</td>\n",
       "      <td>232</td>\n",
       "      <td>the_books</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1111</td>\n",
       "      <td>219</td>\n",
       "      <td>all_the</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1075</td>\n",
       "      <td>212</td>\n",
       "      <td>the_series</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>596</td>\n",
       "      <td>196</td>\n",
       "      <td>that_the</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>329</td>\n",
       "      <td>179</td>\n",
       "      <td>the_story</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>30</td>\n",
       "      <td>164</td>\n",
       "      <td>one_the</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4468</td>\n",
       "      <td>144</td>\n",
       "      <td>read_the</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      count          word\n",
       "77      802  harry_potter\n",
       "79      598       and_the\n",
       "657     500     the_movie\n",
       "1790    492      the_book\n",
       "524     449      the_film\n",
       "746     358    this_movie\n",
       "88      337       for_the\n",
       "839     331     the_first\n",
       "404     286      the_best\n",
       "65      263      from_the\n",
       "413     250     this_film\n",
       "529     239      with_the\n",
       "78      238    potter_and\n",
       "1690    232     the_books\n",
       "1111    219       all_the\n",
       "1075    212    the_series\n",
       "596     196      that_the\n",
       "329     179     the_story\n",
       "30      164       one_the\n",
       "4468    144      read_the"
      ]
     },
     "execution_count": 404,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Visualizing the top 12 words/characters\n",
    "eda_reviews_top_words_pos = word_freq_dict_to_df_top_words(bigrams_dict_pos, 20)\n",
    "eda_reviews_top_words_pos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 405,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>word</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>164</td>\n",
       "      <td>777</td>\n",
       "      <td>the_book</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>221</td>\n",
       "      <td>704</td>\n",
       "      <td>the_movie</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>132</td>\n",
       "      <td>633</td>\n",
       "      <td>harry_potter</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>102</td>\n",
       "      <td>513</td>\n",
       "      <td>this_movie</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>127</td>\n",
       "      <td>468</td>\n",
       "      <td>and_the</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>929</td>\n",
       "      <td>355</td>\n",
       "      <td>the_books</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>171</td>\n",
       "      <td>347</td>\n",
       "      <td>the_film</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>341</td>\n",
       "      <td>319</td>\n",
       "      <td>read_the</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>280</td>\n",
       "      <td>306</td>\n",
       "      <td>for_the</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>455</td>\n",
       "      <td>263</td>\n",
       "      <td>the_first</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1764</td>\n",
       "      <td>258</td>\n",
       "      <td>with_the</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>238</td>\n",
       "      <td>245</td>\n",
       "      <td>from_the</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>184</td>\n",
       "      <td>240</td>\n",
       "      <td>that_the</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>936</td>\n",
       "      <td>238</td>\n",
       "      <td>all_the</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>159</td>\n",
       "      <td>235</td>\n",
       "      <td>this_film</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2861</td>\n",
       "      <td>203</td>\n",
       "      <td>have_been</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>50</td>\n",
       "      <td>191</td>\n",
       "      <td>the_story</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1020</td>\n",
       "      <td>178</td>\n",
       "      <td>was_the</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>67</td>\n",
       "      <td>146</td>\n",
       "      <td>the_end</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>669</td>\n",
       "      <td>136</td>\n",
       "      <td>movie_was</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      count          word\n",
       "164     777      the_book\n",
       "221     704     the_movie\n",
       "132     633  harry_potter\n",
       "102     513    this_movie\n",
       "127     468       and_the\n",
       "929     355     the_books\n",
       "171     347      the_film\n",
       "341     319      read_the\n",
       "280     306       for_the\n",
       "455     263     the_first\n",
       "1764    258      with_the\n",
       "238     245      from_the\n",
       "184     240      that_the\n",
       "936     238       all_the\n",
       "159     235     this_film\n",
       "2861    203     have_been\n",
       "50      191     the_story\n",
       "1020    178       was_the\n",
       "67      146       the_end\n",
       "669     136     movie_was"
      ]
     },
     "execution_count": 405,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Visualizing the top 12 words/characters\n",
    "eda_reviews_top_words_neg = word_freq_dict_to_df_top_words(bigrams_dict_neg, 20)\n",
    "eda_reviews_top_words_neg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 160,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "positive_bar_plot = top_words_bar_plot(eda_reviews_top_words_pos, \"Top 20 Positive Words\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 161,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "negative_bar_plot = top_words_bar_plot(eda_reviews_top_words_neg, \"Top 20 Negative Words\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 406,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Visualizing bigrams \n",
    "#Now, I am going to visualize the stopwords_removed reviews and decide on what the next processing steps are. \n",
    "#Visualizing the data without the stopwords \n",
    "pos_viz = pd.DataFrame()\n",
    "pos_viz[\"bigrams_stopwords_removed\"] = positive_df[\"bigrams_stopwords_removed\"].copy()\n",
    "pos_viz[\"bigrams_stopwords_removed\"] = getting_data_ready_for_freq(pos_viz, \"bigrams_stopwords_removed\")\n",
    "bigrams_stopwords_removed_dict_pos = creating_freq_list_from_df_to_dict(pos_viz, \"bigrams_stopwords_removed\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 407,
   "metadata": {},
   "outputs": [],
   "source": [
    "neg_viz = pd.DataFrame()\n",
    "neg_viz[\"bigrams_stopwords_removed\"] = negative_df[\"bigrams_stopwords_removed\"].copy()\n",
    "neg_viz[\"bigrams_stopwords_removed\"] = getting_data_ready_for_freq(neg_viz, \"bigrams_stopwords_removed\")\n",
    "bigrams_stopwords_removed_dict_neg = creating_freq_list_from_df_to_dict(neg_viz, \"bigrams_stopwords_removed\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 408,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "positive_word_cloud = create_word_cloud_with_mask(\"harry_broom.PNG\", bigrams_stopwords_removed_dict_pos, 750, \"Positive Review Word Cloud Bigrams Stopwords Removed\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 409,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "negative_word_cloud = create_word_cloud_with_mask(\"harry_broom.PNG\", bigrams_stopwords_removed_dict_neg, 750, \"Negative Review Word Cloud Bigrams Stopwords Removed\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 411,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>word</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>54</td>\n",
       "      <td>802</td>\n",
       "      <td>harry_potter</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3342</td>\n",
       "      <td>144</td>\n",
       "      <td>deathly_hallows</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>73</td>\n",
       "      <td>114</td>\n",
       "      <td>daniel_radcliffe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>351</td>\n",
       "      <td>108</td>\n",
       "      <td>emma_watson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>347</td>\n",
       "      <td>100</td>\n",
       "      <td>rupert_grint</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4417</td>\n",
       "      <td>99</td>\n",
       "      <td>order_phoenix</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>250</td>\n",
       "      <td>97</td>\n",
       "      <td>special_effects</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11318</td>\n",
       "      <td>89</td>\n",
       "      <td>david_yates</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>433</td>\n",
       "      <td>87</td>\n",
       "      <td>alan_rickman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13280</td>\n",
       "      <td>86</td>\n",
       "      <td>half_blood</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13281</td>\n",
       "      <td>85</td>\n",
       "      <td>blood_prince</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4415</td>\n",
       "      <td>78</td>\n",
       "      <td>goblet_fire</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18597</td>\n",
       "      <td>78</td>\n",
       "      <td>hallows_part</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5077</td>\n",
       "      <td>76</td>\n",
       "      <td>read_books</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4360</td>\n",
       "      <td>73</td>\n",
       "      <td>prisoner_azkaban</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>194</td>\n",
       "      <td>72</td>\n",
       "      <td>more_than</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3570</td>\n",
       "      <td>69</td>\n",
       "      <td>read_book</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20294</td>\n",
       "      <td>66</td>\n",
       "      <td>potter_deathly</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5302</td>\n",
       "      <td>64</td>\n",
       "      <td>first_two</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2399</td>\n",
       "      <td>57</td>\n",
       "      <td>potter_series</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       count              word\n",
       "54       802      harry_potter\n",
       "3342     144   deathly_hallows\n",
       "73       114  daniel_radcliffe\n",
       "351      108       emma_watson\n",
       "347      100      rupert_grint\n",
       "4417      99     order_phoenix\n",
       "250       97   special_effects\n",
       "11318     89       david_yates\n",
       "433       87      alan_rickman\n",
       "13280     86        half_blood\n",
       "13281     85      blood_prince\n",
       "4415      78       goblet_fire\n",
       "18597     78      hallows_part\n",
       "5077      76        read_books\n",
       "4360      73  prisoner_azkaban\n",
       "194       72         more_than\n",
       "3570      69         read_book\n",
       "20294     66    potter_deathly\n",
       "5302      64         first_two\n",
       "2399      57     potter_series"
      ]
     },
     "execution_count": 411,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Visualizing the top 12 words/characters\n",
    "eda_reviews_top_words_pos = word_freq_dict_to_df_top_words(bigrams_stopwords_removed_dict_pos, 20)\n",
    "eda_reviews_top_words_pos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 412,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>word</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>103</td>\n",
       "      <td>633</td>\n",
       "      <td>harry_potter</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1568</td>\n",
       "      <td>185</td>\n",
       "      <td>read_book</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>725</td>\n",
       "      <td>126</td>\n",
       "      <td>read_books</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>420</td>\n",
       "      <td>93</td>\n",
       "      <td>special_effects</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5856</td>\n",
       "      <td>92</td>\n",
       "      <td>left_out</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>755</td>\n",
       "      <td>79</td>\n",
       "      <td>too_much</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5829</td>\n",
       "      <td>63</td>\n",
       "      <td>order_phoenix</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14747</td>\n",
       "      <td>63</td>\n",
       "      <td>david_yates</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6827</td>\n",
       "      <td>61</td>\n",
       "      <td>goblet_fire</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5195</td>\n",
       "      <td>60</td>\n",
       "      <td>first_two</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14113</td>\n",
       "      <td>57</td>\n",
       "      <td>half_blood</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>137</td>\n",
       "      <td>56</td>\n",
       "      <td>more_than</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14114</td>\n",
       "      <td>55</td>\n",
       "      <td>blood_prince</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14986</td>\n",
       "      <td>53</td>\n",
       "      <td>deathly_hallows</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>293</td>\n",
       "      <td>52</td>\n",
       "      <td>chris_columbus</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1891</td>\n",
       "      <td>52</td>\n",
       "      <td>book_but</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9037</td>\n",
       "      <td>50</td>\n",
       "      <td>death_eaters</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2286</td>\n",
       "      <td>50</td>\n",
       "      <td>could_been</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5180</td>\n",
       "      <td>49</td>\n",
       "      <td>potter_movies</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4965</td>\n",
       "      <td>49</td>\n",
       "      <td>should_been</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       count             word\n",
       "103      633     harry_potter\n",
       "1568     185        read_book\n",
       "725      126       read_books\n",
       "420       93  special_effects\n",
       "5856      92         left_out\n",
       "755       79         too_much\n",
       "5829      63    order_phoenix\n",
       "14747     63      david_yates\n",
       "6827      61      goblet_fire\n",
       "5195      60        first_two\n",
       "14113     57       half_blood\n",
       "137       56        more_than\n",
       "14114     55     blood_prince\n",
       "14986     53  deathly_hallows\n",
       "293       52   chris_columbus\n",
       "1891      52         book_but\n",
       "9037      50     death_eaters\n",
       "2286      50       could_been\n",
       "5180      49    potter_movies\n",
       "4965      49      should_been"
      ]
     },
     "execution_count": 412,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Visualizing the top 12 words/characters\n",
    "eda_reviews_top_words_neg = word_freq_dict_to_df_top_words(bigrams_stopwords_removed_dict_neg, 20)\n",
    "eda_reviews_top_words_neg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 413,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "positive_bar_plot = top_words_bar_plot(eda_reviews_top_words_pos, \"Top 20 Positive Words\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 414,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "negative_bar_plot = top_words_bar_plot(eda_reviews_top_words_neg, \"Top 20 Negative Words\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 415,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Looking at the four grams \n",
    "#Now, I am going to visualize the stopwords_removed reviews and decide on what the next processing steps are. \n",
    "#Visualizing the data without the stopwords \n",
    "pos_viz = pd.DataFrame()\n",
    "pos_viz[\"fourgrams\"] = positive_df[\"fourgrams\"].copy()\n",
    "pos_viz[\"fourgrams\"] = getting_data_ready_for_freq(pos_viz, \"fourgrams\")\n",
    "fourgrams_dict_pos = creating_freq_list_from_df_to_dict(pos_viz, \"fourgrams\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 416,
   "metadata": {},
   "outputs": [],
   "source": [
    "neg_viz = pd.DataFrame()\n",
    "neg_viz[\"fourgrams\"] = negative_df[\"fourgrams\"].copy()\n",
    "neg_viz[\"fourgrams\"] = getting_data_ready_for_freq(neg_viz, \"fourgrams\")\n",
    "fourgrams_dict_neg = creating_freq_list_from_df_to_dict(neg_viz, \"fourgrams\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 417,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAeYAAAGgCAYAAAB/ksS+AAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjEsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy8QZhcZAAAgAElEQVR4nOy9d5ikx3nY+avOcXpyzrNxdjYHALtYAAyAYEs0bUm2okWdzpL5yEH2SdZJvrMJ+iydrSz6sY9KFiVBJikSFJbUQqBAggAWWGzAZmyY2dnJOfVM93QOdX98YXp6umdnBrMBi/o9Tz/dXemrr77wVr311ltCSolCoVAoFIqHA8uDroBCoVAoFIollGBWKBQKheIhQglmhUKhUCgeIpRgVigUCoXiIUIJZoVCoVAoHiKUYFYoFAqF4iHikRLMQgipf1o3mH9Az//MplZMAYAQwpZzjRofdH0UhRFCPK9fo1sP4Nif1Y/96v0+9kYRQuzQ6xx/0HVRPBqsSTALIb6U80LN/YSEEJeFEL/5ML9ohRD7hBAvCCF++kHXZbPQz6fQNYkIIW4LIf5MCHHkQdfzUUII8W29jf9qlTTHcq7FN1ZJ91hOun33psYPFiFEpxDivwoh3hNCTAkhkkKIOSHEBSHE7wshDj/oOj5ohBATRZ7j/M+OB11Xxf3Dts70KWBO/y2AKmCv/vlnQohPSSnf3sT6rZdu/TuVF74P+BzwJvClVfLfAeJAdNNrdu/IAtM5/yuALfrnJ4UQvyil/L0HUrOVSIpfow8DbwHPAU+tkiY37rgQQsjCXnyMdPPA1U2q30OBEMIBfAH4WZY6/1lgAfABB/TPvxZCvAL8sJQy9iDq+hCxCERWiU/fr4ooHjzrVWWfllLW6p8atIfsp9BeLqXA14QQ7s2u5FqRUu7QP6MbzP8JPf+5za7bPWQ455rUAi7gGHAZ7fr+thCi64HWUEdKmcm5RpMPuj4b4E39u0YIsb1ImuP69yRQCewsks4QzKeklNlNqt8DRxfK3wb+OVrn/S/R7kenlLIccALbgV8FpoC/DwQeTG0fKn4t9zku8Ol90BVU3D8+0ByzlDIqpfwL4F/rQbXAP/zAtVJsGF34nUa7Dim0a/yTD7ZWjwzn0DQqUGDULISwAEfRNC5/sEo6gSasQBuFP0r8V+AZtBHyj0spf1JKeVpKmQaQGj1Syv8CdAD/68FVVaF4ONks46+/QnsQAQ7mRwohaoQQvy2EuCWEiAohFoQQ54QQvyiEcBYrVAjxaSHEK0KISSFESp+f6hZCfFkI8SMF0q8w/hJCSOBP9b9PF5i7eSYn7QrjLyHEH+thX1+tAYQQv6qnu1gk/lNCiBP6nFJSn3P7lhDi+1Yrd6NIKQeBHv1v52pphRD/QAjxzZy6Ter/ny2Q1rA3+MpdyvwPerpzOWF3Nf4SQviFEP+3Pi+5IISICSF69DnJhgLp39TL+7kCcb+Sc7wfLBD/W3rcH692LgZSyiRwRv9bSJ29F230dwb4nh52vEC63UCZ/vvNAvEIIZ7V75dJ/ZqMCyFeEkIUVKMLIVw551orhOgSQrwohBjRn52v5KUvF0L8nhBiUAgRF0IMCSG+KISoW70ViiOEaAH+pf73d6SUq94jUspFKeVPoGkX1nOcfyKE+DshxIwQIiGEGBZC/IUQYk+R9Hc1ZhN3MToTQriFEJ/X78W4fj1eFEJsW0/dNxMhRKkQ4v8RQlwTQiwKIcJCs/n5j0IIf5E8X9HP81dWKfeMnuZH88KXtZEQ4jNCiFNCey9LIcTzeemfFkL8rRAiqNfvkhDiXwqNgvXIv1b6e/PvhBDTQoisEOKzergQQhwVQvyG0GTJmFh6d70ihPj0KudnHlt/bj4nNLkS05+H3xFCBHLSP5bzLEaFEGeFEN+/SvkHhRB/qZeV0K/LHb1e/0oI4SqW10RKedcP2rysBN5YJc2knuYP88KPALN6nARCQCzn/2WgukB5v5aTplC+iQJ5jLjWnLAJtLktCST1/7mfozlpB/R0z+SEfVwPiwElq5z/VT3dL+WF24EX885lIe//b6zlOuSV+4Ked2CVNNf1NCeLxDuAL9+lbr+el+c5PTwC+FY59g093b/JCbPllNtYIM8uYCgnTQpt7s34Pws8npfnP+lxf1mgvL/Nyfv7BeLP6XH/dB3t/nk9z2CBuF/Q414A3EACbaohP92/zLmnrQXifzOn3hk0u45sTtjnCuRx5cT/BEvPygLaKP8rOWkbgf6c9NGcdh4Dfk7/fWud96RxLRJA1Xrvab2Mz+plvFogzpZ3v6aBYN7/nymQ7/m7nc9djhsALuQcJ6FfO6N9f0L/Hd/A+U7oeX9lnfl2AMM5dVrUr6Px/w7QViDfV+52PLSOpQR+tFgbAX9Y4P58Piftz+bds0H9+kg0LUnBeuReK+D/0n9nc/J/Vk9XmVO28W4P5YWteObz2uCFnHON6s+JkfcdtHf3P9bLzqJN2eY+l58uUPY/yjlPQ27k16v1rtd3jTfBl1hFMKO9hIyL8Bs54WVoD7pEE1yH9XAr8MP6BZXAa3nlteonLoFfBypz4qqBHwL+pEA9Cp448NOr1T8n3QArBbMFGNXDP1Mk366cG6gxL+539bh+4MfQhRna/PzPsSQIf2ydD+YLrCKY9TZM6mn+W5E0/42lh/hH8ur22Zwb6h/n5LGy9DL5iSLl7s25eetywosKZv1eMYTy1/UyrHpcO9pcpSE4SnLyfVIPH8krz6q3bVi/Lpfz4v0sPUDN62h3o6MmgZa8uK/r4Z/Q/7+r/2/LS/dXFBcCP51T/m8D5Xp4FfDFnLgfzsuXK5jDwGvATj1OAB05v9/S002gzfEKPe5j+n1qvIDWK5hPsYbn7C5lrCYgjXs+A/wy4NXDm4GXWRLOj+Xl+6CC+S9y2vUnAJsevh+4lNNe90Uw69f6pp6vD/19pV/b72PpfXURsOfl3QzBHNavwa+gP4toNkaV+u/daJ1qCfw10KSHe4H/Q88bLFSPnGsV0dP9LnonD/AADTnvi2+iCc46wJIT/gssdVI+VeD8jDaYR+vcfB/ae96GJpcievx/1s/1/0MfPAI1wEk9fsA4bk77j+hx3wC25MQF0KZ4/gSov+s1XuON8CVWF8zGCEACP5QT/h9Y6i3VFsj3XE6+j+eE/xM97OY6b/JNF8x6+O/o4d8uku8/Fyof2JpzE7YXyWuc6/vrPNcXjJsjL9wKPIH2wjDa47EC+XegCaxZ8gRMTpof1/PnC7Uv6OHFRuL/RY//Tl74aoLZyPN1dEGRFy/QjIoky0fhHpY6IB054Yf0sG8C1/RzLSvwAuhfZ7u7c473T/PiJtBeSIbAMEa+n8lLN66H/2qBazeox/1pkeN/Q4/vzm0nlgvmm2jGVoXyP8tSJ/JogfjOnPNbr2CeYZWRyhrLKCgg0V78xgvzcwXy2YCzevzf5cVtWDCjPcNGu/5ogXzVLA0wPohgDrNSm2d8fiovz88axwO2FShzP0udzh/Pi9sMwSyB/7hK/q/qaS6gd2Ly4v9jTjnFBLME/ucHuI+MNvrbAnFfyTlGoXdjrrb2lQLxAZYE/5Gc8OacZ6t0o3WXUm58jlnX8bcKIX4J+A09eBD4Vk6yH9a//1hKOZFfhpTy79BGFaAJKIOQ/h0QQng2WsdNxDBQ+YQQorpA/I/mpTP4KbSe2MtSyr4iZX8DTTW2a4Pze01CmxueEEJMoKlOTqMtEQN4QUp5tkC+z6AJu29IbT66EF9HEzR7hRBVOeHGeT4rhKjIzSCEEBRvj9X4jP79u1K/y3PRw75sHDcnPIr2AgB4OieL8fsNtBGiYPl8rxFfcI63GFJb1vOe/tec7xWalXYNcEFKaSx7OaV/H89JtxXNSLLQsY+gPdygdfYK8YL+vQ1Nq1CIL0gpE0XijGfyTakZCS5DSnkDbZSzLvTrbsybz62WdoP8PbROWAyto7wMqRmX/Zr+95NCiLL8NBvEaK8BWWDOXEo5BfzRJhzHh3b/FPrkvwONOn1NStmTF4eU8hJahxSWv1c3iyTw+4UihBA24FP639/Rr0s+v8eSEeVq/ObGqgcsyaGjq6T5XpF343dyfv+/+ZFSygWW3gG5K14MuSVYesY3xHoFs2k8hdYr6EdrPDfaKOAfSs1Axlg2YVT6e6uU+br+fSAn7Czaw10HvCuE+DkhRNs667ppSCnfQzOkspJ3owshHkOzLk2hCbJcjJvih3OFZ54gHUGbywBo2kD1LCx/iI2y4sAPSCk/XySfUbcfWaVuQ/o5L6ublPIMmvrbmIPJL7cFrbPx0lpOQL+2xo38jVXqY7yQ89vJEHCFBPOba4hfL0aeXEMsc/lTTtg7aD3oQulyBbyB8QwMSynvFDqwlPIq2sg0N30+7xYJz82z2nlvpE3uNUa935NShouk+R5aewu0UeNmHvdet9evSilFkc8Xi9Rpve/VzeKmLpwKsQNNHgAU9GkhpQxx97X781LKm6slEELYddnwd0IzxkvmyKdxPVmJEMJXpIhrRcKncn6/XySNYbBodgCllPMsPXuvC80geI/QVmusi/VmSOkVmkRTsdxBm8v6ZWCXlPJyTtrynPJXW1c8on+bIzIpZRD4p2hzAHvQlp706Y3/Z0KIp1cWc88xRms/lhdu/H9VSpk/UjBGwKv1hmtYaqeNaAcGjQcYzZhrB9qciAv4oijuntSom3+DdTNGD8Xa45VVHt5idQFNNVisLsZDkF8XY8nR02AuWzqONsd8iTzBrGthDulhG3mpGsfbJoSo0X8bo2JTMEspZ9HUyluFEEbHwxDM7xqd2ByMZ+Bu6/CN+Koi8dNFwnPzjK2h/DWjazSC+t/y9eZfA3dtG11gG6OWYm2z0eNuanttFF0zYbTvut6rm8hq91dlzu/xoqlWb09Y6nwWRLeaPo0mG55F69in9LoZMsrAW6SYYvXL6N8JXRatlsaeF/7TwG20d9qvA1eAeaGtcvlRIYSVNfBBHIzUSSm3SCmfk1L+5ionAJpTgXUhpXwFzYDp59CMZcbQGv+ngDeEEH+43jI/IH+pfz9hCDtdABgj6EJqW6N9f2GV3nDu540PUkEpZUpK2S2l/Hk09Voj8OUiPTYj7F+ssW75vV+jPY4LfemTftMZI+j1qLFz6+ddQ1225OV/G+1BaRHakp09aHOSb0sps1JzZtIN7BNClKCN6u3A6CpTDKthHA+WBO1TaKO1dwqkzU8Hq3cI1v285JG5e5JVERvMZ4xwiqnYN4MP2jb3go221wc91oNqi9Xur81qi7vdw/8JrXM9ieanoVpK6ZVSVkvN0VLHPajTXdGnFnahTTf8Mdp7x4+m3v8y8I5YgxOue7mJhWFCD5pqsxjGetYVvTAp5YKU8o+klD8ipWxAO2FjPudnV1tLttlIKW+jzWXmzqE+g9YzirA0p5OL0WtbdR3xPeL/RBsxPo6mfcjnA9VNVzNdYXl7fAJtxBsC/mYdxeX2btddH101Zmhrnmb5/LLBm2hq+Sf5YGpsY2RmHO8pvWPSAtzQR8m5GILZ6MC06v8LORYxnoHVnhcAYz33aiOXYhh56ldJs9G1zIZq9Yk8m4TN4K5tI7S1uyV56WHJneVq60eLeR+7l+21bqTmJc7QzG3kvfpB2mIt5B5vtXb5oG1mDAA+K6X8Syll/nnW5Ge4X+gDpJeklD8rpdyB9rz+KtqI/jHg39+tjHsmmHU1naGf/9gqST+ufxd0zJFX5g0p5c+x5ORhrSpto4PwQXtOxijwx/VvQ237sm6ElI8x3/ApIUS+yuOeomsw/rv+9wXdKCMXo27/oEDcWinWHn8tpVzPTju9LKmuVjgCWSO56uxCgvdu8esld57ZKK+QsD2Vk84YLec6KsnFeAbKRXFnGXtYUhfe9ZlZ5Rir+fve6FTRn6C9+B3Av1trJl09ezeMencWMcAE7T0j0DQXl3LC5/Xv+lXm+4ptqGEct5CjGIP7PbVm1Gkj71WjLYo5+ClF87O/UW6h2U+A1gkudAw/H0CromvmDMF+qUiyT260/M1GSjkmNU93xvv4rvfLvd720TCG+ulCFsdCiOfQlvaApq42wh13Kde48GtV5RjzTqVrTF+Mr6AJ+d1CiP1o66mhuNr2z/T09Wg9pqJsohVpLl9AM8JqZaVbzi+hvcCa0GwENlI3w9nDfiHEXrTF9bBON4v6/OSf6X//lSjuh9pYDVCoR28IymfQhE6Y5S8lI/55NOvn3LCNYAjhLuAf6L9P5SeSUg6gzfftBgxvRGeLdFzOoRncQfFe9ef07x40jcV6+Zr+/YxuuLgMve3/UX74WtCt+/+H/vcXRZ7nqALH8gkhXmRto5tX0JaouNDWwuaXZUNzSAHaMr3cqbWbaB0GO5p1d37eTpauYT7GO6xdCJFv6IgQohL4Z2uo/2Zi1OnTet2Xob+bjPPJ3wnNMHj6e0UGC7/E+jc3MtGtsA1t2b8tMqf6r1l9xH63Y2TQHKqA9lwtQ38/FPVsdq9Yw+Br7XJLrm1N2JdYwzrgAvlyHYxcAQ7p4VY0oVbMwcgvoK1Z/XGWO6goRXthGc5M/n5ePmPtWWteuLEWMUWBdWs56QYosI45L83rLK3Rk2iqmxVr9XLS/3ZOvf47OeuZ0YzCnkVzYPCdYmUUKfcFCqxjLpDuj1ha92rJi/v9nLp9gRxHGHrdnkPzWrbC6UJOOsNZhdEeExTwZqWnXW0dczlL3qgm0dTvvpz4ZjR7g8vATxYou5zlnoYKrT+8kxO/wnPcOts/93iZQueUk/bLeen+8yrlfianjr+NvvYabZS8VgcjK3wG5KTLdTAyhtZRMRyMPI3msGJDDkb0Mhw55WeBP0frfFtzjr8NbaplMr++rO7o43M57fjvWFov3oS2xEtSwMGInuaEHt+PNr0j0N5Dfw/NycTcKsc1HIyE0LRChoORffp9/yAdjNxhuYOR51jdwUgtWmddotmJGE5BytC82qVzzqeo56+71G8vSw5GXkJ/LtCMNv8Nyz22FfX8dZdjGOv5+9D8zhv38BP6eRtr6lc8D9xlLTeaAe2q17NQGfp9dQX4Vyx3LuJAc+AU1vP8p7te4zXeCF9iA4JZz3sk56Y3bu5c15pXyHPJqV88mfNZZLnrPQn8QYFjFRTMetybOfGzaEJ4gBwXj6xNMP+zvHr8j7ucvxVtFJGbJ6SfT64g+d462/UF1iaYt7MkEH4sL87Gkmu91er22irlfzYv/xdWSXs3l5xb0VRhRpoM2gMWzTtGMY9jV3PS/HKB+P+ZE//V9d7Ldzle/yrp/kVe/Z+9S7m/ldcG+S45XyiQZ02CWU/bxHKXnBE2wSVnTvlOtA5hJu88ZllyXmJ8vgG4CtxPxVxy5jqHSLHSJef/vspzkJs2wtJ76Bzwi6scN98lZ5wlj30hHpxLzpGcOhnbRhr/C7rk1PP+ct41COZcq19mDS4511C/z+bds3MsCeu/YMkJyb/Ny7dWwZx/PXPdyi6y3FHJ/RTMue0a1+/53HY4jd6hXO1zr1XZSG0LxU4012o9aOqkNNoazn+H1rudysv2v9A8t3wVrWeYQhvBjaMZWX1aSvnP11mVH0QTkP16WS36Z70qla+j9Thz61oUqe329PNo8y0vojlhcaCt9RtC6+l/hnu0K5eUspslw7R/nzufJ6VMS23O/im03nN+3b6BNnL9IYrzNZbvrbzh3YKkZmC3D82T3BtoD14A7X65gjaqf4qlpWv5vFnkd6GwzdjVKbe8FWrsInFptIezKFLKX0JzE/gttAfbh7a28q/ROo0vbKSyOeUPo2028/to19mG9uL8Az18qHjuNZWfkFL+LJp1/G+hjWCCaIZZETQh97vAPinlD8o12iPo9+uPohkbfhdNKHrRRogvAgellH9SJG832ovzr9A6e1a08/w82j1VdC9kqS37exLNErgXbWQaRbvXD7Hk4Oa+IaW8habG/TU0n/jGc30NrdO+T0rZXyTvb6BNbZ1H65xY0J6HH9DjNqN+X0QzBv07tOvk0Ov282gra4zpqPmCBdy9/G40u4Avo2st0e6xP0e7Jm9svPYb5graKp0/QtPsLaDd80G09v154Gm55ICoKMbwX6FQKBSKe45ugDeGZlvwhNQcFilyuOcjZoVCoVAocvgMmlCeZWMrCx55Nmx9p1AoFApFIYQQn0NTMZ8AxqSUUver/7+x5Af+v8mV3u8UKFW2QqFQKDYZIcTXWbJNSaLN4ZeyNBf+CvCPlGAujBoxKxQKhWKz+QKakd0xNGcgATTV9WU0Q70XpbYeWVGAezFiVkNwhUKhUHzU2DSf3Mr4S6FQKBSKhwglmBUKhUKheIhQglmhUCgUiocIJZgVCsWqSCnJZrOmu8B0Ok02m717xgIY5eSXb4QZvzOZzIp0CsVHBWWVrVAoiEajLC4u4nQ6Sae1LXsdDgd+v59oNMrQ0BBVVVXYbDbu3LlDS0uLmddms5HNZnE6ncRiMcrKyrBYLMzPz2Oz2YhEIng8HlKpFFJKHA4H8Xgct9tNOp0mkUjgcDgoLy8nFosxMzNDNBqlqkrb0tntduN2u1nb7pAKxYcfJZgVCgUTExOMjY0RjUYRQhCLxWhsbGTv3r309/czNDREb28vzc3NpNNpJiYmGBgYoKSkhEAgwPz8PF6vl7GxMT7+8Y9jtVo5d+4cpaWlTExM0NjYyMTEBK2trWSzWUKhEH6/n4WFBcrLy/H5fJSWlpJMJpmYmCCdThMMBpmenqazs5OOjo4H3UQKxX1DLZdSKBTEYjFSqRTpdNpUXWezWSKRCF6vFyklVqsVt9sNgMViIRKJ4HA4sFqtxGIxHA4HiUSCVCpFJpPBarWSyWQYGhqipaUFu92O0+lESondbkdKSSKRwO12k0wmCYVC+Hw+LBYLVqsVi8VCLBbD7/fjcrnUiFnxsLNpN6gSzAqF4p6RzWZJJBI4nU4sFmXSonikUYJZoVAUxxjxCiHIZrNYrVYSiQTDw8O0t7cjpaS7u5va2lqcTqeZ/s6dO7S2ttLX18eOHTtwu93YbDaEEKZRFrDMMCt3JGu1Ws3j59ZFCMH8/DxlZWVIKc3yjO/8vEZcNps156uj0ShNTU33vO0Uig2yaYJZzTErFI8gQ0ND5txub28vfr+fxcVF5ufnmZubo76+HqvVSjweZ2ZmBofDYcY5nU7Gxsbwer2Mjo7S1dVFfX09c3NzXL58mUwmQzqdJhaL4Xa7TcOtaDTK4cOHEUJw5coVFhYWKCsrY35+nurqam7fvs2hQ4fo7e2lqamJmZkZpJREIhFKSkrYv38/drud4eFh7ty5g91uJ51OU1JSwszMDNXV1UowKz4SKMGsUDyCJBIJGhoaSCaTzM/PMzs7S319PZlMhmw2SyAQYHp62lQvh0IhKisr8fv9lJWVkclkiEQiJBIJc/S7sLBAKBTCbreb1tZut5tYLMbY2JhpYe12u1lYWGBiYoJEImFaahvlWywWxsfHcblcTE9PU1paCkAymcRisTAxMcHMzAwlJSXU19czMDBARUWFUoUrPjIoVbZC8QgSDoex2Wwkk0lmZmbweDwkEglsNq0v7nA4iMViphFWJpOhvLzcXM4Ui8Ww2WzMzMzg9/uxWq1IKQmFQthsNlM1bqjBE4kEQghKSkpMwzDANPCqqKggHA7j9XoJhUJ4vV7z+E6nk0wmYxp9hUIh0uk0Ho8Hl8tFPB4nEolQVlZGeXn5g2xWhWI11ByzQqG490gpicfjpFIpbDbbquuJs9ks0WiUbDaLy+XC4XCs+TiZTIZoNAqAy+XCbrdvSv0VivuIEswKhWIlxvN8L5cWGaNhr9e7qeVutO6ZTIZwOEwgEFiR9360h0Kho3aXUig+ihhrjZPJpPkdiUTM/+fPnzfne9PptBmXzWaJxWLmnHEikSAajZpW1gZGulgstixdKpUy4y5cuMD169eX5TPml2OxmHnsTCZDKpUyyzDWSMfjceLxOFJKkskksViMZDLJ4uIip06dIhqNLrP6NtyARiIRs5xkMmnWf2FhgatXrwKY5SUSCdLpNJcuXWJ4eNg8tkLxYUAZfykUHyLOnTuH1WpldHSUiooK3G43/f39OBwODh06xDe/+U3a29t5/vnnuXnzJhMTE3R1deFyuTh//jx2u53Ozk5OnTqF1+tly5YtHD161BxRRqNR3nrrLSYnJ3niiSf43ve+h9/vp6SkhO3bt3PmzBmmpqY4evTosnpdunSJnp4eysrKqKurI5VKUVNTw82bNxkcHMTn81FeXs7OnTs5c+YMUkqOHz/OW2+9hcvlor29nUgkwokTJ0gkEjz11FM4nU5A6yy8+eabDA0NEYvFeOaZZzh//jylpaUcO3aMnp4eBgcHeeqpp3jppZdIpVJYLBaOHj3Kt771Lerq6vj+7/9+6uvr7/v1Uig2ghoxKxQfIqxWKwMDA4RCIUZGRgCw2+28//77+P1+du3axfd93/dRXV1NLBbDYrFQVlbGlStXOHToENXV1Vy5cgWn08kzzzxDX1+f6RsbMH/PzMwwNDREKpXiueeeY3x8nIsXL7Jnzx527ty5YvS5sLBAfX09zz77rOlyMx6PMzc3RyKR4Nlnn2VwcJA33niD0dFRJicnGRgYIBgMcvz4cXbv3s2OHTvo6urik5/8pCmUQVNVj46OUltbS21tLdlsFofDwfPPP095eTnbt2836x0KhXjyySdNY7Vdu3bx3HPP0dDQoNTZig8NSjArFB8iqqqqmJmZMR11XLhwgfr6etPQymazMTc3RyaT4eDBg9TU1PDmm2+aS5gikQgul4tAIGC6x8wVsn19fYRCIaqqqshms/h8PjweDxaLBbvdTigUMueYcxFCEAgEsNvt2O12FhYWTMFuCGghBKWlpWzbto1PfepTdHZ24nQ68Xq9WK1WrFYr6XSa+fn5ZQ5KrFYrDoeDnp4empqakFJSUlJinrOhuo7H4zidTnw+n7mxhtEeyWTyHl8ZhWLzsL7wwgubXeamF6hQKDRsNhtSSjo6OigvL6ehoYHJyUkaGxvZsmULPp+P7u5uKioqGB4eZnp6mr1797Jjxw56enrweDzs378ft9tNdTA70vcAACAASURBVHU16XQaq9VKOBw21yjPzc3h8/no6OggEAhQX19PNptl165dDAwM4HQ6qa6uJpVKEQqFWFxcxGazUVlZSUlJCR6Ph9HRUZLJJC0tLfT395NKpdi3bx/79u1jbGyMubk5GhsbsdlsNDQ0YLVasdlsxONxxsbGzI5EKBRiamqK27dvc+TIES5cuEBHR4e5LjqVSnH16lXC4TBOp5PS0lIaGhqwWCxUV1dTXl5utofP53vQl0/xaPP5zSpIWWUrFB9hQqEQ165dM1XBLS0ttLS0rKr2lVLS39/P8PAwoKnSu7q6KCkpWZE2Go3y2muv8fzzzy9TT69GNpvlxo0bzM7OAtqIeXh4GLvdjsvl4rnnnlvXUiyF4j6hlkspFIqHH8Oi2vC3vdEyDGt0h8NhOklRKB4y1HIphUJx/0gmk1y8eJFYLHbXtJlMhmvXrjE/P48QArvd/oEMr4QQOBwOPB7PCqHc19fH0NDQhsvOJ5FIcPHiRRKJxKaVqVCsFyWYFQrFXUmlUpw5c6aoYA4Gg6aAzGQyXLhwgbm5uXter9u3b9PX17fh/FJKRkZGmJmZASAej3P27FklmBUPFKUTUig+gmSzWXPZksvlYuvWrczPzxMOh1lYWMDv99Pe3k4ikaC3t5d0Ok0qlSpYVjAY5PXXXycYDHLw4EHa2tqQUjI8PMzc3BwNDQ3U1taysLBAf38/NpuNjo4OPB7PsnIM5yN9fX0kEglaWlooLy9ndHSUTCbD7OwsVVVVNDQ0MDg4SDAYJBgMUltbSzKZpL+/n3A4TFNTE9XV1aajldnZWSoqKmhubl42cpdSMjY2xsmTJ6moqGDnzp3U1taSyWS4ffs2AO3t7QQCAaamphgdHcXv99PW1qZchiruKWrErFB8BJFSMjU1RTQa5d133+X69etcu3aNEydOEAqF+Nu//VuGhob43ve+x7Vr15iYmDCNsQqVFYvFkFJisVgQQhCLxejt7WVmZoaXX36Zubk5Tp48yeTkJDdu3OCNN95YsRZaSsmpU6e4cuUK09PTnDhxgsXFRd555x1ef/11FhcXicfjDA8Pc/LkSYLBIAMDA2QyGS5evMj58+eZn5/n5ZdfJhQKcebMGb7zne+Y+Qph+PcWQpj7QRuj/4GBAb797W8zNTXFyZMnmZ+fN+unvIgp7iVqxKxQfATJZrOmI5BYLMbk5KTpFeyZZ55hamrKdDLyAz/wA5SWlpqjyHzKy8tpbm4mHo+zd+9ekskkLpeLxx9/nNbWVu7cucP4+Dg3btygs7OTWCxGOBwmk8ksmzNOp9Pcvn2bT3/601RXV/Piiy8yOTmJEIJdu3aZez2/9dZbNDY28rGPfcx033n58mXT41cwGCQUCgGwc+dOnnjiiYJz3EII6urqqK+vZ/v27ezYsYOFhQVKS0t56qmnSKVSvPzyywwMDDA4OIjH42FxcZHJyUmklMphieKeoQSzQvERZHJyktOnT/PpT396mcMQQ71sjHydTifz8/NYrdaio07AXIMcj8cRQmCxWHC5XAghTAOwiooK9u/fb27naIxQDYQQeDwegsEgHo+HZDKJ0+lECLFsVyu3200kEmFxcZFQKITb7aa0tJSSkhJ27drFsWPHqK6uXpGvEEZdo9GoOa9ss9mw2+2mf223201NTQ2HDx/GarUW3CxDodhMlCpbofgI4vf7KS8v5+zZs2QyGUpKSvB6vaZgLikpwe/3c+TIEc6ePcupU6eoqKhYIUwNmpubmZyc5NVXXyUcDlNaWmpaYxvOQB5//HHOnz/P6dOnmZqaWiHcbDYbTz75JBcvXuRb3/oWW7dupba2lpKSkmVroLdv344Qgm9+85tEo1ECgQBPPvkkc3NzvP3229y8eZNsNktJSQkul2vVdrBYLGzdupWrV69y6tQp0uk0ZWVlpsOTsrIyOjo6aGtr49133+XcuXMsLi4qway4p6h1zArFRxApJYlEYtmo1MBut5NIJLDZbOZo0hj5zszMEA6HzbQWi4WGhgb8fr+5F7PH4yGVSmG327FYLKarTGMu2nCVaXgHM3A4HDQ3N5PJZMhkMrjdbnMkbrPZTLW3sStVMpk0w202m3k+hiOSZDJpuhJNp9MMDg4uG/XbbDZaWlqw2+3EYjGEEGY+oyOQSCRwuVxkMhkzjdvtLtpBUXyk2bTemlJlKxQfQQwhVGxEmRvu8/nIZrPMzs6yuLjIwsKCGWexWKiqqkIIsWx/5lzB5Xa7l5UVDofNeeaJiQmcTidut5tUKkVDQ8MKa+10Os3U1BT19fXYbDZzO0mfz7esQ+FyuUzf2G63e9koO5vNEg6HiUajZpjdbieTyeByuZa568ytr/HbZrPh9/tXaVGFYvNQI2aFQnFXUqkUp0+fxuv10tDQwPT0NGVlZSwsLFBWVkYwGMTr9eLz+YjH4zQ2NgIwNDREJBIx9332eDwMDg7S0dFBS0sLV69eZWFhgY6ODqampujo6GBgYIDa2loqKyuRUnL+/HkSiQQ1NTVYrVZzjrmsrIzx8XEcDgfRaJTS0lLm5+eZnZ2ltraWmpoas9OgUNwHlOcvhUJxf3G5XFgsFm7fvk1/fz937tzBbrebO1SVlpbS19dnqouN7Rq7u7uZmpoiHo9z+/btZQZZVquVkpISc+lWMplkfn6e+fl5AHNHqqamJmZnZ6msrMThcBAKhbh9+zaDg4MMDg5is9l4//33kVJitVqXlaFQfNhQqmyFQnFXLBYL9fX1WK1WpqamcLlclJaWUllZic1mw+Fw4PV6TQGdSCTMeeKWlhZKSkpwu9243W5isRgOh4N4PG5uFRkOh4nH40QiEUpLS805YyEE5eXlpiGZx+NhZmaGbDZLQ0ODuS2l3+/HbrcTj8eprKzEYrGsedMMheJhQ6myFQrFphCJRMxRbSQSwWKxEAgEVvi3llKysLBAKpXC7Xbj9XpXqJsTiQShUKhoGQrFQ4jaXUqhUHy4kVKSzWbNNdOgGWmBNkK/n7zxxhu0trbS2tq6Ii6/npcuXcJqtbJ79+57On89OTnJpUuXeP755+/ZMRSbippjVigUH27m5+e5ePGi6d5SSklvb+8H2pRio4yNjS1bBpZLJBLh3Llz5p7VMzMzRd2TbiaxWGxTd85SfHhQ+iGFQrGpXLp0iYWFBWZmZmhvb2ffvn2MjY3x3nvvYbFYOHz4MC6Xi1deeYVbt24xMjLC4cOHSSQSvPzyy9hsNrq6unjyySeJRCKcPXuWVCrFwYMHqaur47333gNgYmKCPXv20NHRsaIOQ0NDXLp0iXQ6zaFDh/D5fFy8eJFUKkUqleLJJ5/E6/Xy9ttvE4lEmJiYYPfu3SvKWVxc5LXXXuPs2bOMjIxw8OBBAPr7+wkGgwQCAY4dO0YsFuPs2bNEo1H27NlDe3v7ilF/Mpnk3LlzjI+P09TUxIEDB5iYmGBkZISFhQWcTifHjh1jYGCAq1evIoQgk8mQTqe5cuUK/f39pgey2dlZBgYGCIfDpmOWuzlTUXx4UCNmhUKxqdy6dYuxsTH27NnDm2++ycDAAH/zN39DQ0MD1dXVnDx5EpvNRmtrK01NTTz22GNUVlZSXV1NXV0dO3fuZP/+/QghOHnyJA6Hg0AgwIkTJ8zRazAYZP/+/VRUVBSsg9PppL29HY/HwxtvvGF6BWtsbMRisfD2229z+fJlRkZG6OzsNJ2j5ONyuWhra6Ouro7HH3+c2tpaAMLhMHv27KG7u5ve3l5ee+01c0nXN7/5TdNXdy4XL16kv7+f/fv3c/36dW7dusXExARvv/027e3tbN++nWg0yquvvsq2bdtwu90kEgl6eno4f/487e3tXLt2jffff5/p6WlOnTpFa2srO3bsUHPwjxjqaioUik3FarXS1tbGtm3beOuttxgdHSUajbJr1y7S6TTnzp0jlUpRWlqKz+cz1yc7HA78fj9lZWVUVVWZ20Qmk0nT6ttwCNLZ2VlwPhgwt20cHR0lFosRCoXIZrPU19ezY8cOhBBcuXKFVCrF1q1b2bp164otIQ1sNhulpaV4vV6qq6tNS+/Ozk46OjooLy8nHA7T29tLIBBgfn4en89nrtvOZXh4mPb2djo6Oujv72dsbIzy8nJaW1vZsmULVquVsbExAHbt2oXf72doaIjh4WEmJyfN5WCgqf2bm5vZunWr8kL2CKIEs0Kh2FQymQx9fX3U1NQQCoWora3F5XJx584d0uk0DocDt9uNw+EgHA4zPT1NaWkpDocDh8PBzMwMc3NzuFwuGhsb2b59uyk4jTXQqxmHxeNxLly4wPHjxwkGg9y4cQPQOgy5wrempob+/n5aWloYHx9n7969BcszXHZOT0+bI3RjhCqEMF17VlRUsGPHDkDzNZ5PXV0dQ0NDtLa2MjIywp49e8hkMsvq5fV6yWaz9PX1MTQ0RDKZpLa2ltraWo4dO4aUkurqau7cuaME8iOM9YUXXtjsMje9QIVC8eHhxo0bxGIxhoeH6erqoquri+rqai5fvszc3BxPP/00lZWV5prkO3fuUFVVhd/vx+v1cvv2bWZnZ2lra6O5uZmenh76+/txuVzU1dWxuLhIU1PTCtedBsYGFLdv38bpdJpbO2YyGdra2kz/3AcOHGB8fJyBgQGqqqpob28nEAisKM/pdBKJROju7jY35/D7/VRVVREKhaipqaGzs5OBgQHu3Llj+g/PF5zV1dXMzc1x7do1mpubOXDggOlTvKGhwdzNy+12c+nSJex2O/X19Rw8eJBsNsv7779PMBg01fEWi4Wmpibl2ezh4fObVZBaLqVQKDaVr33ta2zdupV9+/bd82OFQiHee++9ZZthlJaWcuDAARwOx5rLkVIyMjLC9evXl4W3tLSY6u+1ks1muXbtGuPj42aYsbzKmKNWPJKoTSwUCsXDSWVl5bINLQDTbacQgng8TiKRoLS09K5lZbNZxsfHEUJQU1NDJBLB6XSac71Op5OOjo5lc7rGblnG8QqVaeyWlUsgEGDbtm0rwtaDlJL5+XkqKyuXbXohhFi2UYZCsRpqxKxQKDaVTCazbB5YSkkkEuH8+fPs37+f6elpBgcHOXz4sCnAI5EILpcLh8OxzNnI8PAwr7/+OkeOHGHLli3cuHGDxsZGKisricfjpFIpnE4nVquVxcVFHA4HVquV9957j9bWVmpqapZtFxmLxThz5gwHDhzA6XSau1UZgjoWi62oR+6Wj4a6ORKJYLfbzflhq9VKMplESsmVK1fo6urC6/USjUaRUuLxeEin00Sj0RU7XykeGdSIWaFQPJwUMkoaHR3l7NmzpgvOmzdvEg6HaW9vJ5lMMjU1hc1m42Mf+5ipgk6n09y+fZuFhQVsNhuxWIyenh6qqqpIJBKcOHGCqqoqOjo6mJmZYXx8nJaWFqqqqjh79izhcBifz7ds1Ds2Nsa5c+fMpUg+n880NDNG8i6Xi6efftqsx+joKKdOnSKTyVBaWkpdXR3j4+NYrVYaGhpIp9O0tLRw/fp1tmzZQm9vLzt27GB6eprz58+TyWTo6uoy94PeunUrW7ZsuT8XQ/GhRK1jVigU9xQhBI2NjbS1tfHYY4/hcrlob2/nwIEDDA0NcebMGSKRCOPj48RiMTOfw+Fg586dbN++nW3bthEIBKiqqiKVSpHNZkmn0xw7doympiasViuJRAKPx0NlZaV5rFyhbNSjtbWVxx9/HL/fz/j4OIuLi0xOTjIxMcHHP/5xIpEIc3NzZr5UKkV5eTkejwe73c7Vq1c5dOgQJSUlxGIxRkZG6OvrIxAIUFNTg9/vJ5PJcOfOHfr7+1lYWGBychKLxUI6nS5qtKZQGCjBrFAo7jlWq5VsNsv09DTZbBav12uqmA2nIp/85CdXnYdNJBIsLi4SDodJp9PY7XYcDodpBd3a2sp7771HNpvFarUyPT1NKpVaVobFYiGbzTI1NUUgECAcDuPxeHC73Xg8HkZGRkin0ytUzbnH8ng8TE5OEg6Hqa6uxufz0dPTQ3NzM9FolEgkYo7W29raePLJJ9m1axdbt24lEAhw8eLFzW9gxSOFUmUrFIp7jtPpZO/evQwNDdHU1ITL5aKkpITOzk48Hg+9vb2ANqo1fFK7XC58Pp9pkBUMBnG73SwuLpLJZNizZ485DxwOh4lGoxw6dAi73c6+ffsYGRnB5/OZwtlisVBRUcH+/fsZHh6mra2NPXv2EAgEyGQyOBwOent72bNnj+mYBLQRc1tbG9lsFpvNhsvlor+/n8bGRpqbm/F6vVRUVBAIBBgaGqK8vJyZmRm2bdtGKpVifHycQCBAMBhECMH+/fvvd/MrPmQo4y+FQvFQYDgmMdTZPp+P5ubmDbublFIyOztretOyWq00NTUVdP6RX4/+/n6i0SigOf1oaWlRbi8Vd0Nt+6hQKBQKxUOE2vZRoVAoFIpHESWYFQqFQqF4iFCCWaFQKBSKhwhlzaBQ3Gei0SjT09MkEgnKysqw2+3Y7Xa8Xi9DQ0PmRgagOdkwPFbV1dVhsVhYWFhACEEqlcLlcpFOpykpKSGTyZDJZEin0ySTSaLRKF6vl9LSUrXRgULxIUIJZoXiPhOLxRgaGiKdTjM4OMj8/DxNTU08/vjjTExMsLCwwMLCAoFAwNzmL5FImL6iu7u7GR8fp7S0lJmZGXw+H8ePHyedTnP58mVisRjpdBqXy8XWrVvX5JNaoVA8PCirbIXiPpNIJBgYGMBms2G1WpmZmaGkpASXy8Xc3Jy5+YLX6yUej+P3+4nH43i9XjKZDAsLC0gpqaysZGZmBqvVai4B6u3tpaWlxcxns9mor69XI2aF4t6jlkspFB9G4vE4kUjE3ODB8DJlqLcrKiqoq6sz/TYLIUz3k7FYjGAwyI4dO3A4HPT19WGxWEwnGuFwmEAgQGVlJYODg+aevWVlZaafZyWgFYp7htrEQqH4MDIwMICUklAoxODgINXV1czPz1NdXU04HDa3Crx9+zZXr16lsbGReDxOeXk5fr+f+fl5QHOeEQwGAW2TBUPVXVVVhZSS/v5+SkpKCIfDzM3NEQgEeOqpp3C5XA/s3BUKxdpQI2aF4j4yOTlJMBgkGo2SyWSor69nbm7O9MEspcRqtRKJRIjFYuZ/u92O3+83dz8yRr4ul4uJiQlcLhcVFRXE43Fzm0Wr1YrL5WJ6ehqv10t7e3vBnZ8UCsWmoFTZCsWHkfznTQixLCyTyZh7/RqW2UY6I78h1D0ezzJBawhk0NxIGvsHG+UrNbZCcU9RglmhUCgUiocI5ZJToVAoFIpHESWYFYoHhJSSVCpFOp02P6FQiFAoZKqfs9ksqVSKTCaz4juRSHD16lWklEgpmZ+fJxgMcuPGDeLxuJnWKKu/v5/p6ekVZUWjUa5fv04mk1mhalcoFPcfZZWtUDwg5ubmeOedd8z5YLvdTjgcxuVycfz4cex2Oz09PUxOTlJaWsrAwAAtLS1MTU3h8XiIxWLMz8/T1dVFNpvlnXfewePxMDExweDgIG63m3A4zNGjR6moqGB8fJzJyUkqKytJJpPY7XbS6TQ2m43R0VGy2SydnZ3KQEyheMCoEbNC8YBIp9OUl5cTDoeJRqOk02kCgQBVVVWmcIzFYrS1tZnrn6enp5mdnaW3txer1YrT6QS0vYZra2spLy+npqaGkpISbt26tWzEbLFYKCkpob+/H7fbzcDAAA6Hg9nZWWZnZ4nH48pATKF4CFDGXwrFA8IQtqlUilgshs1mw+/3EwwGCQQCACSTSUpKSshms0xMTOB2u1lcXMTtdpvq6IqKCqxWK+l02oyz2WxEo1GSySSBQACLxUI4HCYWi1FWVmaumV5cXDSXaVkslmWdAoVCsS6UVbZC8aiSzWZZXFwkm83idrvNUXEhUqkUkUgEIQQ+n2+FUJVSsri4SCaTwel0LlsDrVAoNhUlmBUKhUKheIhQy6UUCoVCoXgUUYJZodgkDI9cq5FIJEin08vCpJTE43Hm5ubumr8QmUzGdN+ZGxYMBonH4+YxctMkk0nm5uZIJpNks1kWFhYIh8MPdLmUsexLofioowSzQvEBMISJlJKzZ8+aa5CLfUZGRszNJ3IFUSgU4rvf/S7hcLho+cU+CwsLnDt3zlyHLKUkk8lw4cIFbt68iZSSdDpNT0+PmebSpUtcuXKFxcVFZmZmeOONN5icnFxR9nrrUuiz1vwzMzPMzs5uqGyF4lFCrWNWKD4g3d3d9PX1MTY2Rnt7O9euXSMWi7F7926uXLkCQG1trRl35MgRUqkUFy5cYH5+np07d1JfX4/X6yWbzS4rO5vNcuHCBSKRCGVlZTQ2NnLlyhUsFgsHDx7k0qVLBINBpJSMjY3x/vvvEwgEOHLkCHV1dcRiMUBzLjIwMEBnZydDQ0O8++67tLe3k0wmOX36NOPj42bcrVu3CAQCHDx4EIfDYdbj5s2bDA8PU11dTTweZ3p6GofDgdfrJRQKIYSgvLycuro6s4zDhw9js2mvmdHRURYXF5mYmDB3zZqamgJg7969vPbaa2QyGY4dO4bVauX69evU1NTQ0dHBhQsXSKfTdHV1cfXqVQAqKys5ePCguYWmQvGooO5oheIDYAisQ4cO4ff7kVLi9XqZnZ1lZGSE+fl5Dh48yMDAAC6XyxRqk5OTprct47sYExMTtLW10dXVBYDf72doaIjbt2+TSCTYu3cvQgiuXr1KV1fXMmEI2uYVzc3NgDZqbWlpYceOHTzxxBPU1tayd+9e9u3bx5YtWzh9+jSgbTu5sLBglhGNRjl79iwWi4WrV68yOTmJ3W7H4XDQ09ODx+Mx94ROpVKUlJRw8+ZNEonEsnMZGBggGAwyMDAAgM/nY2RkhHg8ztatW3nsscdob29nfn4ei8VCTU0Ng4OD+P1+s2MTDAY5fPgww8PDJJPJTbmOCsXDhBoxKxQfAGMHJ2OkOzAwQDabxePxkM1mKSkpwePxmGmy2SxSSoQQBAIBdu/ebcbnqmhzlzQZWz5arVauXbuGz+fDbrevSJ9/jPzfa1EBO51OGhsb2bVrF6WlpcviPB4PbW1tbN++nZ6eHmw2G3a7HdC2n0yn0wghuHDhAp2dnVgslmXHMtZoNzc3Mz4+TiqVory8HIfDQTabxWKxkEgkyGQytLe3Y7FYOHfuHC0tLeY5gCbMPR4PFotlhYZBoXgUsL7wwgubXeamF6hQPMxYrVZu3bqFy+WipaWF6elpnE4ndXV1OBwOamtriUajCCHo7e1lcXGR5uZmMpkMo6OjBAIBpqenGRwcNB2KpNNpkskk6XSaRCJBdXU1DoeDdDrN2NgYPp+P7du3EwqFmJqaoqqqim3btnHjxg2CwSBut5sbN24wPz9PSUkJQ0NDjI+PA1BVVUUkEqGqqgqn00kymTSdi/h8Pvr6+kilUpSWlpJMJkkmkwghcLlcDA4OYrVa8fv9+Hw+c+10bW0tTqcTn8+H3+9nbm6OkpISamtrzXPJZrPEYjFaW1vJZrM0NzczNjaG1+ulubmZkpISuru7cTqdhMNhBgcHqampYdu2bQwPDxMMBtm9ezdSSurq6ohGo9TV1S3TDigUD5DPb1ZBah2zQvEQYai2Q6EQoI0yOzs7zZHp/SKbzXL9+nVTne3z+ejs7DTnnNdahtE5AG2P6F27dq2rDIXiQ4RyMKJQKO6OoQJei5tNI63FYlmXd7C15jOsxYUQy9IWC1coPmQoByMKxcNMOp1eNv9pbPF4v5f4TExMcPLkyaLxufUMh8OcOHGCVCq1rmMsLi5y4sSJFYZe+QSDQb761a/y9a9/3TR2k1Jy69Yt/vRP/5RXX3113cdWKB5FlGBWKDYZKSVnzpwxVbigCb133313hXORe008HmdsbKxgnLGeeXJyEtD8bg8PD6+785BOpxkZGbmrc5TS0lKOHDnC7Oys2RnIZrOcP3+erq4unnrqqfuuslcoHkaU1YRCsUampqY4c+YM2WyWTCbDJz7xCex2O6dOnWJmZob29nb279/P5cuX+eu//muuX7/Orl272LVrF9/+9rc5f/48w8PDHDlyhJaWFk6fPs3IyAgNDQ0cPXqUoaEhc4mVz+fj6aefXjEfG4vFeOutt5ienqa2tpajR49y9uxZYrEYwWCQbdu2sX//fq5fv861a9cQQhTsDGSzWS5fvsxLL71EQ0MDu3btYufOnSwuLnLy5ElisRjHjh2joaGB9957j76+PiorK3nyySfxer0ryotEIrz66qvE43GeeOIJGhoaOH36NGNjY5SVlfHMM8/g8XhwOBymqjqZTPLOO+9w6dIlcx30kSNHlCpb8ZFHjZgVijWyuLjIpUuXzKVAb7zxBu+88w4LCwscP36cK1eu0N/fz9atW6mvr+f48ePs3bsXn8/Hzp07aW5u5uMf/zhNTU1cvnyZW7du0dXVxYULF+ju7mZiYoKLFy+yb98+9uzZU3Be2GKx0NLSwq5du7h06RJjY2Ncu3aNZDLJwYMHefPNNxkZGeG1117jwIEDlJeXF1zrK4Sgvb2dxsZGnnjiCQ4ePIjdbjf3f25ubub111+nu7ub8+fPs3PnTm7fvs3FixcLjqij0SgtLS20tbXx3e9+FyEEDQ0N7N69m9u3b9PX17cij81mY+/evbS1tfHEE0/Q1dWlhLJCgRoxKxTrorq6mtbWVhKJBGfPnkUIwYEDB2hpaaGuro6pqSk6OjpwuVyUlZXh9/sBzbra7XZTXl6O0+lkaGiImZkZrl27hsfjMZf8tLW10dLSUtSb1cTEBOfPn8fr9RIOh4nH47hcLjo7O2lsbMRmszE/P4/VamXbtm04HI6CQlEIgdfrxe12EwgECAQCzM7OUlFRwY4dO5ienubq1auMj48zPT3N+++/j81mw+VyFayXkW9hYYELFy4wOzvLuXPn8Hg85j7Q+VgsFnOdd2lpKT6fb6OXRaF4pFCCWaFYB+Pjxu7yvgAAIABJREFU49y5c4eenh6qqqrw+/10d3cTCAQYGxtj+/btWCwWLBYLIyMjOJ1OSktLcTqdRKNRRkdHqampobW1lWAwyGOPPUY2m6WxsZHZ2dm7Wk/39PQghGDnzp1cv34d0IRsbj6fz7fMhWYx71gWiwW73c7o6ChlZWVmWK5ldENDAzU1NRw+fBghBLW1tUXLMpycgOZoZXFxkcOHD3Pnzh1A28Bjfn6eWCzGwsIC5eXl62h5heKjg3IwolCskWAwSHd3N1JKrFYrH/vYx2htbWVubo7u7m46Ozvp6urCZrPh9XrNDSTq6+txu90kk0l6e3spKytj69atpFIpbt68SSQSobm5GSEEHo+H2traoipdowMQCoVoaWmhpaUFq9VKfX09Ho+HWCzGtm3bqKqq4tq1a3i9XpqammhtbV1RlhCCkpISenp6SCQS1NXVkclkaG1tNZdAHThwALvdzo0bN1hYWKCxsXHFHLOUkkQiQWtrK0IIMpkMe/bsYW5ujpmZGVpaWmhqamJhYYHLly8jpSQcDlNfX4/D4SAWi5m+whWKDzHKwYhCcb/p6+vjO9/5Dj/zMz9zz71NGZtXjI6OmmE2m40DBw5QX1+/rrKi0SjvvPMOkUjEDPN6vRw9enTdwnByctLcycqgvr6eAwcOKA9cio86m2YgoZ4khWKNuN1uGhsb74uBkmGclas6FkKs8F+9FhwOB11dXcuss202G06nc91llZSUsH///mUGYG63W+3wpFBsImrErFCskfwNIxQKhSIH5flLobjfFHMZKaVkenqaaDS65rJCoZC5j/J6SSaTTExMrGlnpfn5eW7dusX09PSy8HQ6zfDwML29vQUtpqWUzM7OEg6Hl4WnUin6+vro6+v7QM5SEokEk5OTancohaIASjArFB+QdDrNSy+9RHd3d8F4KSV9fX1cuXLFDDt9+jTf+c53NnS8iYkJ/vzP/5x4PH7XtOFwmJMnT/Lyyy8vC798+TJf/OIXeffdd5ftu5zLK6+8wqVLl5aFZTIZbt26xe/93u8VzbcWRkdHefHFF+/qxlOh+Cii5pgVijwGBwe5du2aaZVcU1PDxYsXSafTTE9Ps3XrVnbu3EkkEuHs2bMkEgmmpqaKuqQcHBzkq1/9KpFIhKGhIY4dO2a6sTx58iRut5vHH38ct9vNnTt3uHnzJn6/n8OHD+P1eleM0LPZLHNzc7z55ptkMhkOHjxIbW0tfX19XL9+HSEEhw8fpra2lsbGRg4cOMCtW7cATbC+//77nDhxAiklNTU15lrrfBKJBD09PQSDQRobG9m3bx9Op5OjR49y6tQpc7Rv7Ih1584damv/f/bO9DmuMr/3n3N63xd1q7WrJVlY3rHNYswwDDPjCwNcBpIhk/XmJql7U3Xf3MqLvM/9J5JUJZVZCSHsgw0Ek8HGNpuxjW1kybYka+1Nve973xeu80RtyQaDByz5+VS5ENLpp49atn79277fLjHJffnyZSYmJujo6GDv3r2YzWamp6e5cOECtVqNYrH4jWuHSyTrAZkxSyTXkMvlMJlMZLNZXnjhBUqlEi+++CKnTp1CVVWee+45EokEb7/9Np9//jlwdW/3epjNZkwmE06nk97eXiGzOTk5idFo5IMPPuCTTz5haWmJl19+GaPRyLlz53j77bevG7iWlpbIZrPE43H+/d//nXq9Ti6Xw2KxEI/Heemll9bsh2srUi6XC5/PR1dX13WnqWu1GrOzs5jNZl5++WWmpqbW7K1PTEzw2muvYbPZOH78OB988AGzs7M8//zzGI1GPvvsM9555x0SiQS//vWvgav74NeWySUSyVVkxiyRrKDZbFIsFpmbmyOdTgtTB6vVyg9+8AOCwSBnz55leXmZS5cu8eSTT7J582bOnz9/3TMDgQADAwMiA9fYs2cPBw4cENlzrVbj4sWL6PV6MpkMOp2ORqOx5sRzX18fjz76KJlMhp///OeUSiXy+Tyzs7Mkk0mSyeSa96KqqlAX0+v17Ny587r3rdfr2b9/PwcOHCASiTA+Ps7mzZtXXXf69Gl27NjBgQMH8Pl8vPPOO+RyOXp7e3nssce4fPkyzz33nNhbfvTRR5menubll1++0Y9CIrljkYFZIllBJpPh5Zdf5k//9E9pNBo899xzABgMBiwWi8hAtWy0Wq3SarW+cBBKVVXq9bp4HCBKyKqq0mw2MRgMbN68mT/7sz9Dr9djMBium81aLBYMBoM4K5FI8Nprr/HXf/3XJJNJXn/99a/9WmjCIXC1j3495yeTySReh0qlgsFgwGg0UqvVaDabVKtV9Ho9er2eWq1Go9Gg0WjIwS+J5DrIwCyRrMBoNOJ0Ojl58iTZbFZ8fmXWqqoqRqOR3bt3c+jQIcbHxwmFQjdcoeru7ubQoUMYjUa+973vtZWYNRnMHTt28PHHH3Po0CFh8LBWRqtNh6/82Gw2Y7PZ+PDDD4nFYqiqSqvV4sKFC5w+fZqlpSU++OAD9uzZg9lsFs95IxRF4dNPPyWbzTI7O8uBAwdIJBKcOHGCUCjE+++/z759+9i3bx+/+tWv+MUvfsHCwgI/+tGPhFHHL37xC6LRKPv372d4eBiDwcAvf/lLisXiF9pESiR3KnKPWSJZgbb6FAqFhJhHX18fCwsLdHV1YTQamZ+fJxAIoNfrmZmZodlsYrVacTgcq4Kzqqo4HA4ajQZXrlyhXC5z1113USgUqNfrBAIBkskk1WqVrq4u0uk08/PzKIoiZDqvDWCqqpJKpRgYGKBWqxEKhRgYGGB5eZlIJILX60VRFPr6+pidnSUej9NqtbDZbIyOjmIymYhGo6iqit/vp1KptKmCac9RKBRoNBokk0l8Ph+9vb1ks1mmp6epVqsYDAYGBgbw+XxEo1FCoRBer5f+/n5UVSWZTDI/P4/T6WRgYAC9Xk8ikWBxcRGXy4WqqvT19X2hPrhEsk64ZXvMMjBLJLeI+fl53n777bZA6nQ6eeqppzAYDCLT1tD+7Wkl8Waz2ebeVKlUOHjwILFYrO15Hn74YbZs2YKiKBQKhS+lvFUqlUR5/FqmpqZ499132wbNPB4PTz31FFar9eZehDVY+X1KJBsYGZglktuFVqsleqbaf1utligX63Q6JiYmsFqtbNq0STymXC4zPz/PyMiIyKa3bNmCTqcTZzYajVWT2VrfWafTceTIEfbu3YvdbkdVVfGmQKfTtfVwT506RVdXF729vaLM3Ww2xYBZpVIR5hzwX+V67T6076XRaIjy+cqvaX137QztNdDpdGQyGdLptMiOV96jDNaSDYTUypZIbhdKpRJnz54ln8+zdetWzp07h8FgwOPxEAgEmJiYIJlMsmvXrrbHTU5O8vHHH5PP5zEYDHz++eeEQiG2b99OKpUiGo3i8/nYsWOHyIgbjQafffYZ6XSa4eFhEokEH374IRaLhV27djE5OUk2m2VoaIipqSng6rpWqVQiFAoxNTXF7t27mZqaEg5VzWaTpaUlrFYru3fvFll9s9lkfHycaDRKMBjE5XKJPemdO3dy5coVkskkw8PDNBoNFhcXsVgsbN68mc8//5xqtcrmzZu5fPkyc3Nz3HPPPXR1dXH27Fnsdju7du26rr+zRHInI/eYJZKviTZRnU6niUQilEoldu/eTTgcZnJykpGREbq7u9syX0VRGBwcZGRkRDgz9ff3MzQ0xOXLlzl9+jTNZpOpqak2daxsNkssFuPBBx9kYGAAg8HA7t27qVQqZLNZDAYDmUyGhYUFDAaDyNyLxSJjY2M4HA7OnTvHxMQE9XqdqakpUqkUbrebvXv3tpW6W62WeNPgdrvFG4xEIsGlS5eIRqPiPnK5HC6Xi3vuuYdYLMbc3BzFYpGFhQWCwSBbtmxh27ZtVCoVKpUKXq9XulFJJNdB/suQSL4GrVaLxcVFCoUCdrudZrOJzWYTk89a/3itdSqtNFwul1EUBYfDIcrHTqeTkZERbDZbmwuUVkLWgrXJZMJqtaLT6VhcXKRSqYg1LKPRKErpzWaTSqVCrVbDaDTidrvZunUrVquV2dlZHA7HqkCpqipjY2PMzs7y2WefYbfb6e7ubhvkqlQqYsLcbreLtSi/38+2bdtwOp2k02mq1SrVapWOjg62bt3K+fPn8Xq9dHR0/A5/OhLJ+kT3d3/3d7f6zFt+oERyO6OqKtFoFIvFQnd3N2azGb/fT61WY2hoiPn5eXQ6HV6vF4ByuUy1WsVsNpPL5Ugmk3g8HiwWiwjqXV1dLCwsoKoqJpOJUqlEuVxGr9ejqipTU1MYDAZMJhN+v59Go4HP5yOdTmMymejq6sLhcGC323E4HFitVgqFgljDAgiFQtjtdiwWC3a7XVxTKBQol8tUKhVCoRCpVIrBwUGCwSCxWIxcLkdfXx96vZ6pqSn0ej1WqxWbzYbdbsdms5HL5YjFYnR0dOB2u4lGo1QqFTHJ7nK5RICXSDYI/+9WHSSHvySSb4BWq8XCwoKYsDYYDIyOjn7h1LOmV61lyF6vl8HBwd/JipFWOtf2t61WK6Ojo9cVFpFIJG3IqWyJRCKRSG4jpB+zRPJ10Xqu8F8TyKFQ6CudtbS0xIULF76yzGSr1aJUKt3w8fV6nVOnTpFOp7/Sc3xTaN/Lyn1ubT1Mqn1JJF+MDMySO5JWq8WRI0eYm5sT/3/s2DGxYnSzXLp0iePHj39lG0NNTGSlDOi1VKtV3n777VWCI7cb1WqVQ4cOtfk1t1ot3n77bZaXl7/FO5NI1gdy+Etyx1Gv1zl+/Dg///nPmZmZYXFxkZGRET777DOmp6f59NNPuXLlCiMjI1SrVQ4ePMhbb73F3NwcwWCwTb1LY3Z2llOnTnHx4kXOnDnDwMAAJpOJjz/+mFdffZUzZ87g8/mEDvcrr7zCJ598IoalXn/9dV544QXC4TDZbJZNmzatEt+o1WocO3aMpaUlTpw4QSKRYGhoiFAoxAsvvMCRI0fIZDIEg0HC4bDQ8T569Ch9fX1Uq1VeffVVLl++zOHDh+ns7OTUqVMkk0m6u7uZm5vj8OHDQlVsJfPz87z00kucPn2aEydOCB/nTz/9lBdffJEzZ87g9XqxWCy88cYbPP/884TDYVKpFMFgkHfffZdf/vKXLC0tEYlEuOuuu4jH47z88su899575HI5+vv7mZ2d5d133+XMmTOcOHGCwcFBbDbb7/Tvg0Ryi7hlw18yY5bcceh0Ovbs2cPIyAg/+tGPePrpp7FYLMIF6cc//jGXL19mcnKS48ePMzk5yYMPPsjk5CTHjh277rnlcpnHHnsMnU7HO++8w/z8PK+//jo7d+7EaDTyb//2b+Tzed5++22Gh4d54oknxBT3gw8+SDAY5Nlnn+W73/3udZ+jUCjg8/l4/PHHOX78OJFIBJvNxr333ss999zDW2+9RTKZJJ/P895773HXXXfx9NNP09HRQblc5v3336e7u5uf/OQndHV14ff7OXLkCLVajePHj2M2m9dU48rlcpw8eZIHHniAvr4+XnnlFZaWlnjttdf44Q9/yPbt23n++eep1+vs37+fYDDIT37yEx555BEMBgP79u0jGAzyzDPP8KMf/QiAV155hUajwZ49e3jzzTeZnp4mk8nw3nvvsWvXLn784x8LvXKJ5E5CBmbJHYe2c2s2m3E6ncJQwWQysXv3bgYGBujq6iKTyTA5OUkymeTTTz/Fbrdjt9uve+6mTZsIBoPs3LmTpaUlFhYWiEQinDt3jkwmQ29vLwaDgQMHDvDZZ5/xH//xH1QqFXQ6ndhhdrvd2O3260pVOhwOdu/ezeDgIA6Hg3w+z/j4OO+99x4zMzMUi0WxM93X18fY2Bi9vb1iF1rbL+7t7cVqtXLXXXdRqVSYmJhgenr6hv7MfX19DA8Ps3PnTpLJJIuLi5jNZrZs2cKuXbvIZrMUCgUcDgcmkwmXy4XD4RBGHiaTCafTidPppFqtcunSJZaWljh//rx4bQAGBwcZHR0V/s0SyZ2GXCKU3LHodDoKhYIIjqqqiuCgaT/39PRgtVp59tlnhYvU9dB2fCORCG63Wzgt/f7v/z42m00E/61btzIyMsJbb73FwYMH+V//63+J5ysWiyJIX++etVUpRVFEefuBBx4gGAzy8ccfi2v1ev2qAK99nxpms5k9e/bwwgsvEAgE6Orquu6bgkQiQSaTIRaLYbVa8Xq91Go18Xmj0SiEVbTvRXOh0kRIisWi2Gfu7u5m9+7d3HfffTQaDRwOB+fPn2/zmZZI7kRkj1lyR6Ipch09epRwOMzIyAhzc3MEAgG6u7uZmprC5/OxZ88eTp8+zenTpxkfH2dgYACXy7XqvFgsxszMDJOTk8zPz/PEE08wMjJCMpnk+PHjnDt3Dr1eTyAQ4MUXX+STTz4hk8lw//3309fXh6qqhMNhPvroIyqVCiMjI6ueo16vMzExIaQ1tY8NBgMnT55kfn4eVVVFoFtaWhJyn3BV03t6epq9e/eKwK8pjr300kv86Ec/YmRkZM2guLy8zNGjR4lGo0xMTPDf/tt/Y+vWreRyOd59910uXLjAI488wujoqBBc+fDDDykUCoyOjqIoCplMhvfff59UKsXY2Bh+v5+jR49y/vx5ZmZmhB3m8vIyd999t7SDlKw3pMCIRPJ1qdfrpNNpFEXB7XZTKpUwGAwYjUahkmUymSiXy0KH2mQyMT8/3yaxqaoq3d3dGI1Goc7ldDpRVZVarUYmkxEym0ajkVwuR7FYFOXelTKb2WxWKH1dO8HsdDpxu91YrVb0ej25XA6LxQJAOp3GYDCg0+mwWCxiZWmlR3Sj0SCfz4vysvZvPxwO8/d///f83//7f3G73Vy5cqVNnxuu9piPHDnCX/zFX2AymXC73W3fn6qq4nOtVotqtUomkxHla7g6vKbdp9Y7zufzFItFzGYzDoeDer1OpVK5YTlfIrlNke5SEsnXRa/X4/V6qVarqKra1j9e+bHFYhEBMB6Pc/nyZbH/DFdVvLq6utbsQRsMBnw+X9vntD7rShRFwWw2YzabaTabLCwscOnSpbZr+vr66O/vF6XolWf4/f5V39+1il06na4t26/X67z//vt88MEH7N+/n46ODqrVKnNzc21rW4qi4HK5sNlseL3eNu1ug8GAw+FYVSJXFGWVUYXRaKSzs7PtnhwOh9D21q6RfWXJnY7MmCV3HM1mk3w+j91up1gs8tZbb/HEE098oTwmwIkTJ4Q94jdNo9EQZhlatlqpVLDZbDedXTabTY4fPy4mre+7774b6laXy2VyuRwdHR1tARjg8OHDDA0NtXlNnzt3TvTYJZI7hFuWMcses+SOotVqMT09zauvvorFYsFkMvHJJ59gs9mEM1QymWRubk6UrlcGvYmJCeLxOIqiYLPZqNVqzMzMiECfzWZZXl4mGo1it9tJpVLE43GSyaQYfjKZTESjUYxGY1sfNZVKEQ6HicfjOBwOcXahUMBms3Hx4kUOHjwozCJOnz7NsWPHxPRzPB5nfn4ek8mEqqpEIhGi0SiNRmPVLvDS0hKHDh1i9+7d7N27l1KpRDweJxaLtZ2l3d/y8jKZTEa8Jpq1o06nY3JyUqiW2e12cVZXVxcmk4lcLsfMzAzlchmHw0EqlWJ2dha9Xn/d9SyJZB1yy3rMspQtueMol8tEIhGq1SqtVotwOMzc3BzHjx/nySef5K233hKrSH/+538uythwVdVqamqKYrHI3NwcO3fu5OLFi0xPT/Pkk08yMzPDzMwMu3btoru7m4MHD2I2mxkdHQXggw8+4NFHH+XQoUP89Kc/bSvbvv/++0QiESwWC5FIhHw+Tz6fJ5vNcv/991MqlYjFYtRqNVqtFtlslkQiQa1WI5VK8e///u+4XC4++OADHn/8cX72s5+xb98+hoaGVpWQ6/U69XpdBMWjR4+STCbZtm0bPT09zM/PMz09zYkTJ9i3bx+vvvoqu3bt4uTJk3z3u9/lzTffZGxsDKvVKgLx4uIimzdvZseOHZw6dQpVVdmxYwfvvvsuxWKR0dFRnE4nL774IjabjWw2y//4H//jhitoEsmdiNxjltxRKIpCX18fvb29bN++HbPZTG9vLw8//DBOp5OFhQXm5ubQ6/W43e5VEpsGg4H77ruPvXv3kkwmuXLlirBxTKVSKIrC9u3b2b9/PzabDb1ezz333MM999zD4OAgiqJw7Ngx/H7/qtK5oijs2LGDPXv2MD8/z/z8PA899BB33XUXoVCI/v5+ent72bp1KzabjYGBAYLBIHfddZfYKzYajTidTlqtFh0dHXznO99Zc8K7t7eXvr4+tm7dKkrjO3fuZN++fbRaLa5cuYJOpyMej1OtVhkZGeG73/0upVKJxcVFAoEAjzzyCENDQ5jNZh544AG2b99OKpXCbrcTCARoNpuoqsqWLVtotVokk0nxmul0Ojwez+/0Zy2RrFdkYJbccRgMBur1OqdPn6ZcLovSrzYMFgwG8Xq9jI6OrhpE0uv1GAwGVFVFp9MJz2RtIlqv17c9xmAwiN6tTqdj+/btnDhxgq1bt67q1dZqNU6fPs2pU6fo7++nv7+fY8eOcenSJfr6+sS09tmzZ8XkciQSYWJiAo/Hw8DAAB0dHYyOjoqJ8huViXU6nfj6yvsul8uEQiEsFovYKdZKztr+cSQS4ciRI8zMzGAwGMRroq1KLS4ucuXKFbLZLNVqFZ/Px/T0NFarleHhYTweD6Ojo22DZBKJ5Cpy+Etyx9FsNkWpuK+vj2w2i8/nI5lM4nQ6KRaLhMNh3G43iUSCVCoFXA1kfX19eL1eDAYD+Xwek8nE0tISNpuNjo4OarUaqqqKrHV5eRmn04nZbBaZ6Jtvvslf/dVfcfnyZXG2Xq9nfn4eh8PB5s2bGRwcpNlsip5xX18fiqIQCoUol8sMDg6iqqrYXe7r6yOZTBKLxejo6MDr9ZJMJuns7KRarXLu3DlKpRJwdcp8x44dZLNZPB4PBoOBZDKJyWTCbrfTbDZZWloS61YOh4NyuYzb7SYej+P3+4nFYkJju9lsYrFYaDab1Go1arUa4XAYVVUZGhqiUCiIx3V2dpJOpwmHw7hcLrq7u1e9QZFI1inSj1ki+V3TarWIRCIUCgXgv/aVV/acb4ZoNMo777zDzp072blzJ+FwmGKxCFwN+pcvX6anp4ft27ffsu8BrmbioVBIrHgZjUZ6enpuOIUtkUhuGhmYJZL1Rq1Wo1wuC3nOa6lWqyiKsmr/WCKRrAtuWWCWNSSJhKvl7UKhsGrYSxvsuhVoYhzXK90ajcYbBuW5uTkuXLhww+eo1WqUSiXxfZRKJT7++GPK5fJXv/GbpNlscv78+dveN1oiuV2RgVkiAeENfC2//e1vmZqa+hbuaDXnzp3j+PHjN7zm/Pnzbdfk83lee+01UY7/JtAkORuNxjf2nBLJRkI2mSQbkrNnz/L555+TyWRoNps888wz9PT0EAqFePPNN8nlcuzZs4cHH3yQSCTC888/z0cffUQ8HmfPnj3s37+fEydO8Otf/1rYHT7zzDP4fD7OnDnD8ePHMRgMPPbYYwwPDzM1NcX58+cpl8vEYjGefvppgsHgmvcWiUQ4dOgQiUSCwcFB/vt//+9ks1neeust4KqYx/79+3nggQfI5/O8/vrrpFIpcrncqn1kDU1t62c/+xnFYpGJiQkOHDiAz+ejWCzy0ksvkclk2LVrFz/4wQ9oNBr89re/ZXx8HJ/Px1NPPYXX613z7JMnT3Lp0iVSqRR6vZ7f+73fo7Ozk5MnTwpBlEqlwk9/+lOcTicHDx7k/PnzPPvss3R3dwNX9bgPHTpEOp1mcHCQp556ClVVOX78OGfOnMHpdPL444/j8/n4zW9+Q7VaJRQKEQgEeOaZZ7BYLF/7dZdI1gsyY5ZsSGKxGCdOnOAHP/gBHR0dvPjii1QqFZ577jm6urp48skn+c///E8uXryI3+/ngQceYNOmTfzJn/wJ99xzD3q9nj179hAMBnn00Uf5yU9+gtfrZWlpiZdeeonvfe97DA8P88tf/pJyuUw6nebNN99k8+bNIoBfD5PJxP79+3n66ac5c+YMk5OTFAoFDh8+zMjICA899BAvv/wy2WyWI0eOEI1GeeKJJyiVSjfMQkdGRti5cyf33nsvf/RHf8TQ0BBw1eCiv7+fxx57jEOHDrG8vMyZM2f45JNPePrpp6nX67z66quryvga4XCYkydP8thjj2EymcS1S0tL/Pa3v2X//v088cQT2Gw2dDodDz/8MIqiiIlzgPfee49KpcLv//7vC+eoCxcu8N577/Hkk08SCAT413/9V8rlMidPniSbzfL0009z/vx5JiYmWFxc5KWXXhK707/61a8ol8ukUikhdvLMM8+sqRkukaw3ZMYs2bBs3ryZ0dFRDAYD//AP/0AymSQajfLnf/7ndHZ2EgwGuXTpEtu3b8ftdmOxWPD7/aIH7HK5sFgseDweEWivXLnC4uIix44dEwpi2mR1X18f27dvv+FubqvVotlsMj09TTKZJJPJkM/ncblc9Pf3s2vXLprNJnC1v33lyhV2797NyMgIe/fuvW7fVlEUYaLRaDTw+XwoiiKy7HvuuQeXy4XZbKZcLnP+/HkikQiHDx8mHA6j1+up1+vX7XFv3bqVTZs2US6Xef7554Vq2OjoKJs3b27bl7bZbJjN5rbH79q1i3/913/lzTff5NFHHxVSnps2bWLTpk24XC6OHTtGLpfDarVy3333MTIyQldXF/l8nkKhwNLSEseOHaNUKhGJRMT6l/a6S/MLyUZBBmbJhqVcLot+pyYgotPphBRnpVIRQVRRlDUzRlVVRaCEqwNagUCA73znO5hMJqG0BXwp3edGo8GLL76IXq/nwQcf5OLFi21nr7RjhKsDY5oFo3bfN0JV1TZLSkB83yvvzWKxMDQ0xHe/+13hyXwj/+OVr6V2lqIiMWJRAAAgAElEQVQoWCyWL6V1PTY2xt/8zd/w0Ucf8U//9E/87d/+LWazmWw2S6vVEqtcOp0OnU4nhE20szVnqu985zvCgUpzpfqy9yCRrBdkKVuyYblw4QJvvPEGr776Knv27KGjo4O7776b1157jddee41wOMzOnTsBcLvdFItFDh48yKVLl0QAHBgY4OjRoxw9epRcLsfY2Bher5cLFy4wMzNDOBy+6aCgqiqFQoFLly7dcHJZVVXuvvtujh8/zm9+8xs++uijGwZPuCq1efHiRQ4fPkwkErnudfv27SOXy3Hp0iWmpqaEp/L1OHv2LG+88QaHDh0Spf61KJVKnDlzhoWFBcbHx7l8+TKtVotPP/2UEydOCM9rgL1797K0tMTrr7/OK6+8wvbt29ssIFcyNjaGx+NhfHz8K7/uEsl6QbpLSTYkMzMzVKtVBgcHGRgY4JFHHsFkMrFp0yaazSbVapUf/OAH9Pf3izJwd3e3UAHr6OhAURQGBgao1+u0Wi36+vpwOp1s3ryZXC5Hs9mkv78fn8+H0WjE7/cLJSutZN1qtdr+KIrC4OAg9Xodm83GQw89xODgIC6Xi46ODvr6+oROdzAYpLe3F7fbTbVaZd++fWzevBmPx7PqXO3szs5ObDYb5XKZnp4eHA4HbrebgYEB9Ho9TqeTwcFBAoEAg4ODpNNpjEYjQ0NDwmHr2nMvX76MTqejp6eHTZs28Z3vfEe4THV1dbX1dcvlMlNTUwQCARwOhxAzKZfLJBIJTCYTP/zhD8W9BYNBUqkUg4ODfP/738dsNuNwOOjv78dqtWK1Wunv76ezs5OxsbFVr7vBYKCzs5Pu7m4ZqCXfNrfMXUoKjEg2JIcPH2Zqaoq//uu/bssEFxYWePnll0kkEuJzDz/8MD/84Q9v6fOXy2VeeeWVVVnrtm3bOHDgwFeWoazX6xw8eJCZmZm2zweDQZ588smv3GdtNBq89957nDt3ru3z2huNUqnE//yf//MrnS2R3CFI5S+J5EZcvnyZRCLB/fff35ZJ/exnP8NsNrd93uVyXXdV6KvSbDbJ5/OrpqiNRiNWq/ULszstW1VVlWq1SiKRIBAIoCgKhUJB9GQ1DAYDNput7dxGo0EkEqFSqdDb24vRaCSRSOBwOFYNqLVaLUqlkuhna+h0Oubn56lUKuzdu3fN+9RcpL5OxprP54WHtabvrVUvNGvOcrlMMBj8wnK+RPItccsCsxz+kmxIRkdHhQfySiwWC8FgkMHBQfG530UJVDOy+CpoFon1eh2/30+tVmNxcRGfz4dOp8Nms4nrgLYhqZVn5PN5FhcXCQaDory+8jot+GtnWCwWMU2tXZdKpfD5fHR2dq75+EajweLiIl1dXRiNRvH1ta693n22Wi3m5+fR6XRCh1x7U6Ldi9VqZW5ujv7+/lUDciuf83qvh0SynpCBWXJH4fF4+PnPf86HH34opqj37NnDfffd923fmqBYLDI5OUm9XieXy+H3+ykUCkxMTNBqtRgdHRW+yHC1jO1yudrOKJVKTE1NkUqlcLvdeDwelpeXmZ2dZdu2bZhMJmKxGMvLy7RaLdETnp6eptFo0NXVhd1uZ3Jykmq1Si6XIxgMrlqnWlpaYmJiglQqRSAQEFrg8Xgcn89Ho9Egm81SLpdFT/najDccDrO4uCj64WazmenpaRRFoaOjA7j6hkp7XCaTYX5+nnq9jk6nw+fzYbVamZ+fR1EUgsHgV35TJJHcDsjALLmj0EREVnI9Na1vC6vVSmdnJzqdjsHBQUqlkrBQnJ2dJR6PE4lE8Hq91Go1rly5wq5du1atQw0ODqIoCsPDw+j1enw+H0tLS2KdqlgsUqvV2LJlC3q9nnw+Tz6fp7+/H5fLhclkIhAI0Gq1GBoaWrMv3tnZSSQSYfPmzej1ei5evEipVCKfz4ust1KpMDY2xoULF8hkMqvaBl1dXcTjcQKBAH6/H0VR6O7uZnZ2ds3XRzP7aDQauFwuUqkUjUaDarXKwMDAV3b/kkhuF2RgltxRDA0N4XK5hCgIcNtlV4qiiJ6t9l+LxYLVasVoNIqp8nw+j9FoFFnlWmeoqioyzZUlXq20bLfbRfna4XAwMjIi7ChHRkbEHvdaQXnl/SmKgl6vx2AwkMlkcDgcpNNpOjs7aTabGI1GIWJyvTN0Ot2qkvv1ZmC0ITez2UypVCIQCKDX61lcXKTZbAopUIlkPSIDs+SO4tSpU7z66qvk83kMBgOFQoGf/vSnPPLII9/2rbXhdDqZm5tDp9Ph8XhECVkLfgMDA6RSKRG010JVVfG4VqtFLBYjl8sRCoUwGo3odLq2wJfP54nH422B0eFwMDs7y/z8PH19favK0Hq9HovFwszMDL29vVitVorFIi6XS6iOTU1NiTL8tSV3DYPBIIK/puyVz+dFZUB7sxAKhTCbzej1epGR6/V6kskk6XRa9pclGwI5lS25o/inf/onxsbGiMfjdHV1kclk0Ov1t3xd6uvSbDYpFosoioLZbKZWq2EymajVaiK71LSzTSYT5XK5TaHMarWi1+vF4wAKhYLIWLXJ8FarJbLPRqNBoVAQw1Y6nY5msylsJLWytIZOp8Nut1Ov1ymXy6Jn32g0xHObzWaq1SqVSgWz2Uyj0WizoNTOqNVq6HQ68bhisUir1RIDYcViUWTuWoav3VOz2URRFEqlknij8FXX0SSSr4GcypZIvgpWqxWbzUa9XmdpaQmbzcby8vK3fVurUFUVu90u/l/LVFcOX6mqislkotlskslk2lazdDodJpMJnU4ngunK89ZCp9OtKuurqorNZqPVapFKpchkMuJr2uqXJpGpoamCaVmtwWAQXy8UCqTTaXGtwWDAarW2rW9pvtXZbFa8CdHOUBSFTCaD2WxeVSmQWtmSjYLMmCV3FLOzs+h0OsxmM7/85S8pFAo8++yzbNmy5du+tS9EC47VahWv18vi4iIulwuHw4HBYKBer9NoNEQA00q6kUiEer0uFMoajQb1el0EsmazKR7XaDTaesp6vZ5Go9G2p9xqtajX6zSbTVGCrlQqQuc6Ho+jqioul4tarUY8Hqezs1Nk/Fqw1p5XURShja3dTzKZJBQK0dfXh8PhYHl5mY6ODgwGAwsLC0KJTKsgaPeq7XevXN2SSL4hZMYskXwVgsGgCCz/+3//bxRFEXvBK1m5E3u70Gw2SSQSlMtljEYjtVqNaDRKPB6nu7tb9Ic1kY6Vj4vH4xQKBTo7O2k0GmQyGUwmE1arleXlZWw2Gx0dHczOzmK1WnE6naRSKfr6+giHw3R2dooMtVqtcvnyZcxms8iatSw4EAgQi8VExq4Jh5hMJux2O+FwmFarhc/nE7aQdru9Tdaz2WyKSWudTketViOVSuHxeFBVFavVSqVSoVgsMjc3J8rxHo+HdDqN1WoVw2ASyXpE/s2VrAtarRaLi4ucOXOGHTt20NHRIaZxb4Z0Os0bb7zB1NQUcNUc4Yknnmgr4Wpeww6HA6fTycLCAl6v9wtLwb9rdDodLpcLu92Ox+MhkUjQ2dlJLpdjeXmZZDKJ3W6nUCi0DXApioLP5xNuTloWrOlkWywWenp6RAbb29sretjLy8tiqlpD6+329fUxMzNDoVCgr6+PbDZLsVjE7XZjtVqFY1U+nxdrVel0GovFIvrd3d3d2O32tjdAer2ejo4OTCYTLpeLZrMpSvYraTabom+t1+vF/X9dFTKJ5NtGTkhI1gX5fJ7//M//JJVKEQqFyGQyfPjhhzd9zjvvvEO1WuVP/uRP+OM//mPS6TRHjhxpu6ZUKjE+Ps7Zs2f57LPPuHLlyhfaLX5T6PV6yuUylUpFTCRrq0pOp5Pu7u5Vhg7a1xVFoVarkU6n295krCwjaytLcNVxa3l5GbvdvmqYqlKpkM1mxTBWPp+nUqmIae9isSjsNhuNBsViEaPRiNvtpre3V/hFX2tHuRa1Wk0MkNXrdSqVCtVqVZTBtUBsMBjw+/0kk8lV0qISyXpCZsySdUG5XBZymvV6fU3f4S9DtVpl9+7d3HXXXUL6cmlpqe0ag8FAd3c3BoMBu91OMBhcs9z9beB0OqlUKpTLZZFVut1ukeFqU9UrvZuNRiMmk0kE8mq1KrJVi8UiMlFVVens7Gzr2Wol6JUT3drrv5YGt9PpxGq1Eo/HqVarWK1WOjo6KBaLeDweMfltNpuFO5SmK67dh8FgwGKxiFJ0pVLBarVSrVapVqvi3jRlsJVyn9qK1rVa4BLJekIOf0nWBeVymUOHDrG8vCyGjHbt2rWmscJaLC4ucvjwYcLhMKFQiG3bttFsNrl48SLPPvssDz30UNv1hUJB+CbX63U6OzvXzQpOrVYjm82KwKzZJ94MjUaDUCiEyWTC5/ORy+XEYFWr1aJcLtPb23tLXhOt560FZu3NgCxHS9YZ0l1KcmehmTKMj4+TTqcZHBxkdHT0Sw/4xONxzpw5s+bXhoaG2LRpU9vnLl++DMD8/Dx6vZ677777uuIY6wVt6E3LNrXMd63gupZJxJf5GsDy8jIej6ftZ6OtcmlT206n86bWmzS3Kc0n+3pog24dHR3ShUryTSOnsiV3HqVSCbiqAx2LxQC+9JqTz+fjwIEDtFotcrmcOAtYs0xtNBqZmJhgeHiYSqVy2/SYvwit/6woCg6Hg3K5LAwkCoUCV65cYWBgAJvNxpUrV7BYLHR1daEoCvl8XgiTaH1ch8PRFmA1KVCTyYTRaBQiJw6HQ/SS5+fn2x7XaDRYWFigVqvR09NDKBQSZ9tsNkqlErVaDYfDsWotq1AoiF714uKikBFVVZVcLofJZBJ9d63frF3ncDgwGo3k83ng6vS39n3p9fovZb8pkXwbyMAsWRfk83neeOMN/H6/CKTXeh1/Gc6ePcuLL75IPp9Hr9dTLBb5gz/4g1WSnF1dXaJnqqlWrQcWFhbEmw6fz0cikcBsNpNIJHC5XMIjWuvravrV8/PzwNV+bk9PD3Nzc3R3d4tArVEul0kmk2SzWfx+P0tLSzidTjKZDIVCAaPRSKFQWHVfmnKXpvOdTqeJxWJ0d3cTDoeFuMnAwIB4TDqdFhPx2kR5MpkkGo3S19cn7sNqtYoetdVqFSIm2ppXLBaj2WzS1dVFOBzG6XTi8XhuurwvkXxTyMAsWRdUKhXsdjuPPvro1xrs+fTTTzlw4ACJRILu7m5SqdSa2XAoFBIDSOttH9bv99NoNIhGo1itVvr7+7l48aKwdvT5fADiY4PBIMq/JpOJRqOB0+mkt7d3ladyJpOhXq+LTLmjo0O4VlWrVUZHR8lms233o9PpxOqUlsVq+9GJRIJ8Po/X611VUs/lcrjdbvr6+to+vnTpEqlUStyHNgBXr9ep1WpYLBYGBgaYnJwkFotRKpXEFLqqqvT09EgHKsltzfr6jSO5Y7FYLGSzWd544w1RevX5fGzevPmmzjGZTDidThqNhhDWiEajq65TVZXp6WmKxSIGg4Gurq5VXsS3I41Gg1gshqqq+P1+sV6miYFoPViv1ysCck9PD16vV8iVaiXhtdDkMFeuV2n/NRgMLC4urrmqZDKZRG9Z62trmty1Wg2Xy7Wqh2+z2VhaWhJynCt7xplMRpSir/1TqVRYWloSQibpdBqPx4PT6SQWi8nyteS2Rw5/SdYFxWKRTz75RHgTw9Vy865du27qnKmpKfR6PWazmZ///OcUi0WeffZZduzY0XZdOp0WvUq9Xk8wGFwXKziXL18Wa0SavWWpVMLlcmEwGMjlctTrddxuN7VajUwms6pnazabqdfrWCwW8vk8uVyOVqslVMVqtRoGg0G8HtoKlqIoFItFVFWlWq22TVk7nU6y2Sxms5lWqyXMLbT+cLlcxmQytZXBnU6nyIIdDoe4p2KxiE6no1AoYDAYREVDW5uq1+viWq0EXqvVcDqd1Go1bDbbupmwl6wr5FS25M4jl8sxPj5OJpOhv7+f0dHRm85iNWUoQAwdmc3mtqB7rRxnNBrFbrffNrvMNyKRSIh1oy9DLpcjmUwyMDCw5vS1FjSr1SoLCwvs2LHjC9+gaP1rbQbAYDCITPza81OpFG63G1VVqdVqYlALWGVucSOi0SiKorRJkWprWB6PR4iO9PT0fKnzJJKvwC0LzLq/+7u/u1VnadzyAyWSSqXCW2+9RaFQwGKxMDk5KeQjb4Zjx46hKAoulwtFUTh16hQzMzMMDw+La65cuUI4HObzzz9nYWGB6elpMQh1u6O5PV0PzVQinU5Tq9WIxWLE43Hy+TyqqlIqlZibmxM9fU2yU6/XEw6HKZVKVKtVdDodc3NzpNNpMT2t1+uJRCI0m01isZgwqwiHwySTSUwmE6lUSpSZK5UK58+fp16vtz2XlhUvLy8LCc/FxUWWl5cxm81kMhkWFxeF8tfs7CyJRAKLxSKkVVutFuFwmMnJSfG9Ly0tiapALpdjYWGBer2+5psGieQr8P9u1UGyxyxZF2SzWSqVCr/3e7+HyWRiYWGBjz76iHvvvfemznE4HLzwwgs8/vjjjI+Ps7CwwB/+4R+2XdPT00MsFsPr9WKz2QiFQuuiv/xlyeVyFItFzGazKCH7/X4ikQi1Wo2hoSEWFxdxOp04HA7xOJ1OR3d3N3Nzc9jtdkwmE5FIBJvNRjKZFBPXWgCNRCK43W5arRZOp1OsSQWDQWZnZxkeHsbtdjMwMLDqzUQ+n0dRFHp7e0mlUqvO1Ov1LC0t4Xa7r1sdcLvdeL1e+vv7xTyBy+UiHA6TyWRwOp0sLi7i9XqlZaTktkIGZsm6QOtJjo+P09HRwYULF/B4PF/68VqPdNeuXTSbTf75n/+ZgYEB/vIv/3LVOcViEa/Xi8lkEn7BG6UnqdPpaDQamM1mCoWCyBZNJpN4jTTt7GvbXJoHsqIohMNhIfOp+T7HYjF6e3tJp9M4HA78fj/lcplGo4HJZCKdTouePdA2sHUtmuuX0Wik1WphMpno7u5Gr9czNzdHR0eHWL/SlOCufbw2YKb9sdlsmEwmMpmMqJp0dnauu6l7ycZHlrIl6wLN1u/cuXNMTEzg8Xh44IEHvnQPcnp6mn/8x3/k+PHjTE1NkUwmSafTXLx4kWazSTAYFNeePXuWaDRKrVYTWaAWhDYCmu44gMvlQlVVbDYbtVoNt9tNOBzGYrHg9XpptVrCtalareJyuSiVSmJ3WK/Xi4yzWCzS09MjStbNZlOUwU0mk3gDEI1G8Xg8eDweKpUKqVRK9O+1YKsZYlgsFgwGA4VCgUKhgMPhECIhJpOJQCBANBqlXq/jdDqFC5UWsHO5HPl8HrPZLHy44epgWTqdRlVVnE6nLGVLbgW3rJQth78k6wYtSGiZnSbR+GXI5/MsLi6u+bWOjo42P+DFxUU+/fRTrFarKNlu27Zt3YiMfBHav3ktgF2bMWpfD4VCQqxkZcaqTT9fOyS30mryRn7WK00ntJ/p8vIymUwGVVVFyVxby2o0GuIxqqqukgTVpEbT6TSZTAa4Whno6ekRJWrtnJWrYCvvUQZmyS1ATmVL7gy0IHxtaTWXy3HixAkef/zxmzpPW7HRfmFXq1WxQrOSVColSrcAyWQSp9O5ocqe+XyeeDzeVi34Omdppf+vwtzcnNg1hv/SRrdarcRiMUwmE16vd83Hav7Zdrsdt9t93ecIh8MYjcYv/WZOIrlJpFa25M7hgw8+oLe3lyNHjlCv14WIxFfZK37llVdIp9M8++yzBAIB5ufnuXDhAk899VTbddf2nefm5ti8efOGCszNZpNoNEqpVKK7u5tMJkM+n6ezs5Nms4nRaKRSqVAoFKhUKkLiU1EUAoEAiUSCVqtFZ2cnExMTuFwuRkZGxJueSqXC7Owser2ezs5OwuEwzWaT3t5ewuEwrVZLSHJqw1ga+Xyes2fP0t3djaqqhMNh4vE4gUCAUCiEXq9naGhI/DzK5bIQMHG73cRiMSwWCw6Hg1gshtVqbVv/slqthEIhOjo66Orq+lZef4nkemyc3zKSDcv27dspFot0dHSwe/duVFUVv7hvllKphNPp5Ne//jWPPPKIEN34ItaLicXNomWZ8XicWq0mTCM0WU273U40GhUCITqdTqwvaTKbxWIRt9tNb29vW8bcaDSo1Wps2rSJWCxGMpnEbreTzWZF6VlVVaxW6yrdc63H3dvbSywWIxAIkM1mWVxcFENrmlMWIHaYk8kkxWKRrq4uotEo2WyWnp4eIpGIWOfatm0biqKg0+mECIpEcjshA7PktkZRFNxuN1arlYceegi3242iKEJp6mbR6XQ8+OCDtFot3nzzTarVapsoxZ2ETqcTPXQtkzSbzSJQFgoFfD6fKP/b7Xbq9ToGg0GoigH09vZSq9WIRqOYzWYRnLWhMm3AyuVyiWEuzXDC6XSSSCSo1Wptk9WqqmI0GolEImIIrFarYTQahcPUyjcBRqORZDKJXq/H7XazvLyMwWAQGbPRaMRqtRIMBslms2KNay3DDYnk20b2mCXrgkajIUQmtCzH6/Wu8lH+It5//33Gxsbw+/1ks1kOHjyI3W7nxz/+cdt15XKZS5cu0dnZKVa1vF7vhipla4NXK4ew4GrA1n4vaKIjOp0OvV4v5Di1YSpADIRpWXA6nQYQk9dawK3X67RaLeFoVSwWsdvt4rlisRipVAqj0YjdbheeztrakzZroA2DaWV4RVHw+/1ira1cLos1rnq9TiKRwO/3i/vQBggrlQoWi0X6NktuFXL4S3JnkU6neeGFFxgeHha9Zb/f/6X9mDVWTuJqg2WtVmvVL+epqSlmZ2fp6emhWq0yMDCAx+PZsNO75XKZaDSKXq/H7/cTj8dRFAWPx8P4+Dh+vx+/38/4+DiBQIBAINB2TSKRQKfT4ff7xdRzo9EgEomIXXBNLtTj8RCNRlleXmbbtm1YLBaRvY6PjzM0NEQ+n6dQKNDZ2YnL5RICIz6fT/zsyuUykUgEnU6H1+slkUjgdDqJRqM0m02h1nbhwgW2bNkiDDwcDge1Wo35+Xk2bdp0w4ExieQmkMNfkjsLo9GIzWYjHo+LCeqvol1dKpU4deoU8XhcBOmxsTG2bt266vm0X96aZvNGDcpwdVo9k8lgMBioVCrU63UAsb+tlY618nc6nWZ6elrsB8fjcTZt2tS2elSpVEgkEpRKJfx+v9DCLpVKIlPXUBRFGFLYbDYx5R2Lxchms0QikbYsWlEUUqkUyWSyrcy9uLiIqqpYLBaWlpYYGxvDYDDQarWYnZ0V2tzd3d2iRC6R3G7IwCxZF1QqFSqVCjt27GgTx7hZDh8+zOeff069XsfhcLC8vEx3d/eq67q6uigWi6TTaTo7O9eFs9TXRSsBa3rUrVZLvCEql8ui16/JeLpcLvx+vzDN0GwYNQqFglD60ul0WK1WcrkcOp2Ocrm86vk1IZJKpSKML7TStsfjIRAItO0gq6pKpVKhq6uLZrNJqVQSQVv7WJsqLxaLWCwWVFUV7QnNOONO+NlK1hcyMEvWBdov3PHxcSH0MTg4yMDAwE2dE4vFeOqpp1hcXKSzs5NWq8Xc3Nyq66LRKEtLS1gsFpLJJD09PRuqv3wtmjfy4OAgNptNrC7ZbDYGBweFx3IwGBQGF1omarVaxc8klUqRy+XE0N7AwIDIhFVVFRlvoVAQVpPLy8vCX3t4eJhms4ndbheymdr1Op2O5eVlKpWKmMz3eDwsLy+zZcsWSqWSKIuvVDfbtGkTFosFl8slMnGz2czg4KDsL0tuS2SPWbIuqNVq4he4hsViuen+4BtvvEFXVxetVoujR49iMpno7+/nmWeeEdeUy2Xhazw4OChKoxtFknMtyuWy2A3XFMGubRWspZ99LdqqlcViERray8vLuFwuEby1M2q1GqFQCLvdTiaToaura5WDlybNubI8rg2d1Wo1stksNputrf+/kVsOktsa2WOW3FkUCgXOnz/P97///a/l9PTII48AVzNwTVDje9/7HtVqVWR1V65cIRKJtDkl3X333Ru6H2k2m2k2m8zMzOByucjlcmI9StOkVhSFSCRCq9Wi0WgIEZJSqYTdbqdareJ2uykWizidTiKRiDDH0HrWzWZTuFjp9XrK5TI2m41SqUSxWCQajQrdbqvVSjQaFTvMTqdTCL9ombnWE9esKwOBwLrwzZZIboQMzJJ1QbPZJJ/P02g0vlZgXmkReODAAfHxwYMHuf/++8Wkt9/vx2KxiGniOwFt19dkMqHX60kmkzQaDVHC16bXc7mccKFKJBIYDAaKxaJwg9J2oDXvZpPJRK1WEytZ2WwWk8kkdpodDgfVapV6vS7K1GazGZvNJhyhtL60NkWvTW0bjUZ6enqIx+NUq1UpGCLZEMjALFkXaJO3b7zxBp2dnWJ39WbXpa5HOBwWfdRKpcLExAQOhwOXy8XS0hLbt2/f0BkzXN1f1nq6er0ei8VCo9FAp9MJQRdtSjubzWK1Wuno6KBarQpv53q9jt1uF65Ter1emEdUKhUURaG7u5tWq4XFYqHZbGIwGHC73RgMBtH/LZfLNJtNIQRit9tRVZVqtQpcfYNls9mE7nlnZ6fwmJZI1jsyMEvWDb29vZRKJWq1GoAoj95qtInfcrmMXq8nGAxis9na3JM2ItpOsob2RkSzvgRwOBwoioLD4cBgMLT13bX+8LV94rXOuLZfr5WfNaMK7YyVb4a0M7TBspVn6PV6GZQlGwYZmCXrAovFwoMPPvi1XYy+DGazmXvvvRedTiemdmdmZujt7b0jV2u00vJKbvZ1WOuMW3EfEslGZOOOmUo2FPV6nWPHjvEv//IvXLhwgUgkwmefffY7ez6j0di2SpNOp1cZLUgkEsnvAhmYJeuCbDbL/Py8cJpSFIWZmZlbdv7Q0NCG7yFLJJL1gSxlS9YNqqoKI4VoNPqVytmTk5N4vd5VjlKPPPJIW89SW/HRBpdW7tJKJBLJ7xIZmBgEyNoAACAASURBVCXrApfLxdDQEB9//DGVSgWfz8djjz120+d8+OGH3HvvvasC87UKULFYjM8//1xMIm/fvv2O7C9vVGq1mmhNGI3GDS0eI1l/SOUvybqh0WgQj8eFgIXD4cBoNIqvr3SOuh6//e1vqVar3H///SIYm0ymVUH30qVLtFotBgYGUFV11QSyZH1TrVaFnrZmxCGRfE2k8pfkzqJer3Py5EkuXrwoRCSGh4f53ve+J66JRCJ4PB7MZrPwBL5WsrPZbPLaa69x5MgRzGYziqLw0EMP8f3vf7/tOqPRyJkzZwiFQneE8tediLYDLd9wSW43ZGCWrAuy2SwTExM89NBDq3ZcW60WpVKJmZkZuru7sdlshMNhvF7vqsC8Z88eRkdH2z5XKpUYHx+nt7dXXN/Z2cnY2BjValVmyxuMlfvoK20qJZLbBRmYJbc1rVaLWq1GvV7HbDbjcrmE89HK8mOlUhFSkZp6lN/vX3Wex+NBVVUSiQRdXV3o9XpSqZSQltQIhULMzc2h1+tptVr09/fLHvMGQmt7NJtNWcaW3HbIwCy57Tl69CgLCwuEQiF+9atfCSehoaEhHn74YeBqwN23bx9Wq7Wt73wts7Oz/OIXvyAajfJXf/VXwNUgXK/XcbvdQoFKp9MRDAaJx+NiOluycZBOVJLbGRmYJbc9u3fvXlMT22KxEIlEsNvtOBwOYZJwI44dO8ZDDz0k3KOMRiPhcJg9e/a0uRL19PSQy+WE7Kd0LNo4KIoi/p7IwCy5HZGBWXJboygKPp/vul8/fPgwIyMjOBwOlpaWCAQCmEym6/7C1fagm80mxWKRSCSC0WgkGo0SDAbFdbFYjEuXLmE2mzGZTNTr9d+pDKjkm0ULzr+DrRSJ5GsjA7Nkw2A2mzl//jwdHR0oisLg4CAul6vtmocffpjnnnuOy5cvYzabGRoa4qmnniIcDotgXi6XSafTBAIBBgcHUVVV9pc3ENrwl06nkxmz5LZEBmbJhsHv92MwGMQv27Uy3J6eHv7P//k/RKNRFEUhEAgAtGVOMzMzotS9vLws16U2IFrbQw5/SW5HZGCWbBjsdjvFYpFWq4XH40GvX/3XO5/Pc/z4cWKxmPjcjh072LVrF3Nzc/h8PrZu3UogEMBsNmO1WkkkEt/ktyH5BlAUBb1eL8rZMnOW3E7IwCy5rWm1WjfsA65U/5qfnycUCtFoNOjp6cFqtdLT09N2/TvvvMP09DRjY2Pil7HWd+7o6ACurl5NTExgt9txu90sLi6yfft2mTFvELT+cqVSQafTodfrZdYsua2QgVly2/PRRx8RjUap1WqiN1iv1wkGg+zdu1eIf+Tzebq6uohGo5TL5TX7wrlcjgMHDnD33XeLwJxIJLhw4QKbN28G/qsHWS6XyefzDA4OYrPZZGa1gdD+HknxGMntiAzMktseTQjkk08+YWxsDK/Xy8zMDLlcrq2P3Nvby/j4OIlEAr1ez/Dw8Kqzuru7efXVV1laWhKBOxAI0Gq1KBaL2Gw2zGYz9957r3Czgqt9597eXjkEtoFoNBo3nOCXSL4tZGCW3NYoisLw8DBOp5Pp6WkefPBBTCYTHR0dnDx5su1aj8fDzp07hcnFWqVnt9tNT08Pkcj/Z+/MguM6r/z+u/f2vqLRjQYa+0YQIEFwpxaSI0oWbcmyNYrskRxPJjXlycPEk6rUvCSPcd7yMpmHcRIrk4nHLtszsmUpGq2URGshRZEiKUoCSAIEsS8NoBvofb/dNw+o+xlNgKQoURIo318Vq8juuzbAPvec75z/f0FkShtlTdeKlMTjcRoaGm7z3Rl8GejLI7Isi78bwdlgM2EEZoM7Al3g4/nnn8flcjE/P8/27durtgmHw4yOjqIoCpVKhYGBgXVa2fv376e3t5eFhQUkSaKhoYFCocDFixeNmdY/IDRNQ1EU42dusCkxArPBHYHNZuNb3/oWV69eJZ1Os3Xr1ipBEFhdK96yZQsNDQ1cuXKFZDK5LjAvLCzwy1/+kkwmg6ZpuN1uHn30UVHC1rnWQnKjkmelUmFlZQW73X5DZTBN0yiXy8iyLMrlnyZD00d8bqVRSVe4MtZRf48kSdhsNjRNo1gsftmXY2CwDuVHP/rR7T7mbT+ggQGsqnGFw2Hy+TyxWIx8Pi/mkGG13HzlyhWi0Sizs7NCKKSmpkasFb/44ot0dHTw5JNPcu+995JOp7l69Soul4tisYjP50NRFObn5ykWi8LJqqamBovFIgKqpmnMzs7y6quvUldXRzqdJpPJUKlUCIfDQpREkiQSiQRvv/02Ho+HkydPYrFYsFgsQqPbbreL7WZnZ0mn06iqKlTJFhYWyGQypFIpzp49SzAYFPPasViMubk5ZFkmkUgQjUYxmUyEw2GKxSJTU1NMTU1RV1dndB6vQVVVVFVFlmVkWTZK2Qa3g/96uw5kZMwGdwSpVIpXX32V1tZWXC4XwLpGrMbGRtxuNwBtbW1iFGZtg1ipVMJms4k1ZJvNhslkYu/evaysrIjMslQqsby8LLp33W73uqxTVVVcLheapjE0NISmabhcLlRVFaNXsJq1Li4uAqud46Ojo1y5ckVIiH7jG9/AbDYzPj7OhQsXsFqtWCwWAoEACwsLLC0tEQwGCYVCRKPRqiBy8eJFUqkUU1NTWCwWRkZG2LlzJ5FIhAMHDogHBoP1lMtlUdI2ArPBZsIIzAZ3BKVSCY/Hw5EjR67bGb2yssLMzIyYUd29e3dVgAS45557+Kd/+idOnz4NrAbXP/3TP8VisYgvaQCHw8HU1BSpVAqr1Up/f39VxilJEj6fj46ODuF2JcuysKXUrSlhVfiktraWbDZLa2srPp+PZDJJIpEgFApVnbOtrQ1JkigWi+RyOYLBIIVCgZWVFXp7e3E4HOTzeVE6L5fLJJNJWlpaCIfDwvKyvb2dQCBANptleHjYcMe6hkqlgslkwmQyGUHZYNMhfQ7ND0Y3hcFtJ5PJ8Mtf/hKHw0FDQ4OQ0+zv7xfbFItFYVAxPj5OIBCgqamp6jiVSoVoNMrU1BSyLIt16gsXLjAwMEAwGARW9bJHRkaoq6vDZrPhdrvXSXxWKhXK5TImk4l8Pi/UpPQZ6Lm5OSqVCqFQCIvFIkqmeuZdLBYpl8ssLS2JBw9d5xtWH0asVqsQwrBYLOTzeYrFIouLi2iaRiqVor6+nlAohKqqaJomqgEmk4lyuUyhUMBmsxnrzGsolUri8zVK/Aa3idv2hGdkzAZ3BLIsMzAwIAKg/tpaUqkUsVgMTdPIZDLU1dWtO04mk8HlcrF3716mp6eJRCL4/X7MZrMI6rIsMzc3RyQSEa+3tLRQW1u77pr0a7h2NMvhcLBly5aq167NzEwmkyh/b7Td2gC79rh2u32dOYckSRtqgyuKItbJDX6P/lBlaGUbbEaMwGxwR2Cz2ejv72d5eVl0Gl/bCV2pVCiVSsCq2MhGgfmNN96gvb0dj8fDT3/6UxRFYc+ePWiaxvj4OD6fD4fDIQLy9PQ0DoeD7u7uW7reT1oe/TRlVKP0+tnRH6qMKoLBZsQIzAZ3BLlcjmeffZZIJIIkSRQKBfbt28fRo0fFNiaTiY6Ojqqxp2tZWVmho6ODd955h7vvvhu/38+pU6c4cOAAzc3NYt+GhgYx3lRbW4vZbL5lIYprR65utq1eFtf/rY9HXWvGoW+7UdOS7pi0kYGHwe/RA7IhMGKwGTH+9xrcEWQyGSwWCw888ACVSgW/38+lS5eqttG7nG8ks9jU1MTLL7+Mqqo88sgjjI6OIssyhUIBp9Mp1KDm5ubwer00NTVx6dIlPvjgA3bt2oXL5RI63GazGVVVKRQKWCwWsZZbLBYxm80sLi7idrsJBAJIkkQ2m6VUKmE2mykUCtjtdrLZLA6Hg2g0ysLCAvv27UNVVcbHx7HZbMzNzdHf3y+MF9xuN5VKhQ8//JCGhgYCgQC5XA673U4ulyObzRKLxejq6jJMN26AJEk4HA5KpZJRyjbYdBiB2eCOwGKxYDabcTgcnDlzhmAwSD6fr9rGZrMxNDREbW0tsizT2tq6bi328OHDeDweQqGQCGoOh4NIJCK+oNPpNIODg5jNZpxOJ7lcjmg0yvnz56mrq2NycpKamhrcbjfLy8ukUilkWcbhcKCqqhjZSiaTdHV1iYaus2fP4vV6SSQShMNhenp6mJycxOl0VmW5xWKRjz/+mLa2NiYnJ0kkEqTTaSwWC0eOHKkK5IqiYLVayWazuFwu0uk00WgUu91OV1fXF/CTuTPRH3QMDDYjRmA2uCNwu93cf//9OBwOYrEYkUiEe++9l3w+L8Ze6urqhPAGIPx2164jOp1O7r33XvHv5uZm4eOsqqrYZmBgAIvFItaxh4aGsFqtXL16lWKxSFNTE2NjY7S2tpLP5/F4PNTX1zM8PCzO39DQUKW5rSgKHR0dfPjhh7hcLuLxONlslkqlQk1NjWjeslqtIvNva2ujWCwSiUSqhEX04+qZd6FQwOPxUC6XMZvNFItFo0R7A4rFIsVi8YbLHgYGXxbGuJTBHc2pU6doaWmhpaVl3XuRSARgwyYwnZmZGS5evMjRo0eZmpoSjlTLy8vY7XbsdjvRaBRZlrHb7WQyGYrFIrW1teRyOVwuF7FYTCh9AVXjSel0WmRmFosFl8tFpVIhkUhgs9nI5XIiK9fHncxmM1arlUqlIo5ZLBYpFApV/tSKoogs2e12k0qlxIOE3u1tBOaNKZVKolpirMcb3CaMcSkDA1hde9Y7sa9lbal7aWmJ5eVlSqUSk5OTImCFw2Eho6mXoAuFApcvX8btduP1epmdnaW/v59EIkEmkyGbzWK1Wsnn87hcLoLBIBcvXsTlcmGxWMTacaFQwGq1UlNTQyaTIRKJMDc3R11dHbIso6oqiUSCuro63G43o6OjYha7paWFQqGA1+tFURRR7tYzYbPZLAKKHoyNsahPhqZpqKpqiIsYbFqMwGzwB0G5XKZYLPLee+9RqVTw+XzAard3oVDg3Llz3HPPPcDvu6mz2SyKotDW1obb7RZrvdlslqtXr7KwsMChQ4eEXKeiKJw9e5bGxkZcLpdoJKupqUGWZTKZDKqqMjs7y9LSEq2traIhTBcCAYTbVTabJRAIiLVvWZaN0uttYq3lo4HBZsMoZRvc0bz++ut0dXWJEvRaZmZmAKrK3O+//z49PT3CdWp6epqTJ0/S2dnJ9u3bRdaczWZZXFzE5/MJ7Wo9eK5t0tL/+Hw+TCYT6XQam82GqqqiUzuZTOJyuTCZTCLI6uVuVVWFmpfH4xGztXpW53a7jazuNqO7SlUqFcxms6GVbXC7MErZBgawmvmUy2VSqVRV9iNJEi6Xa50a1r59+6q+hBsbG9mzZw9LS0tVXbrRaJTh4WHa2tqoVCo0NzcLhymdjcaRrlUHs9ls6zrDobrsrD8MGHwxrG2eM8alDDYjRmA2uCPQNI1sNkskEhFrym63m4GBAVRVZXBwkFQqRblcxuVykUwm2bdv3zo/5nA4jMvlEsHSZDLhdDpxOBxVRg+qqmK1WonFYgC0trZ+QXdq8EVQqVRQVdXIlA02JUZgNrgjyOfzPP/880LMA1atHQ8dOoSmaTQ0NHDx4kVqa2upr6/n6tWrG37xvv766+zbt68qi62pqcFqtVZlrk1NTSSTSZaXl+nu7l6nZ72ZWasMViwWqzLEjSgUCsiyvKHW9u2+Hl3N7HaWjzVNI5/P35Kgii4M43A4jOBssOkwArPBHYHuKfzd735XjBDp88n6F6vL5eLq1avMzc2RyWSqnKd06urqiMfjImDBaln52nJyOp0W2fLi4qJwiLoT0JvZtmzZQiKRIJVK0dbWhtfrJRqNYrVahVUlwMTEBLlcTnhdLy0t4Xa7sdlsxGIxLBYLDoeDeDwuhF5sNhuZTAav1yvWxPVz1dTUYDKZWF5eFh3pExMT9PX1kcvlmJqaoq+vD7PZzPLyMj6fD03TxFq8bplZLpdZXl5GVVVsNhtms5lkMonP56NYLOJwOMjlckiSxOLiIt3d3aTTaZLJJH6/n0KhQCqVoq6ubp1VqCRJRvOXwabFCMwGdwS61OXQ0BB1dXViDbm+vl5s09raisfjEfOpaz2RdVwuF//8z//MW2+9JdZ577rrLg4ePCi2UVWVpaUlQqEQzc3NDA0Nkc1m75jADKua4LC6hppKpbh06RJ+v5/R0VEcDgd/9Ed/JDq89QB28eJFtmzZwvDwMIqi0N7ezvT0NDt27GBhYYHp6Wn6+/sJh8Ooqko6nWbfvn3AatZ6+fJlFEURxh+yLDMzM0NLSwvJZBJYbZhLJpNomsaHH35IJBIRYirlcrnKkUvvTo/H4wQCAWRZxuVysbi4SLFYxOv1UqlUaGxsFDPop0+fJp/P09XVJUbp9IrItawVozEw2EwYgdngjsFut3Px4kXxJdve3l4VmGOxGFeuXBFrxb29vQQCgapjdHR08Od//udVr4VCoap/j46OMjk5SaFQYGZmRmhf3ylYLBbR4a0oCk1NTUSjUYrFIm63m46Ojqr7MZlMNDc3Ew6HWVhYQJZlisUisFph8Pv9pNNpgsEgfr8fk8nE22+/zbZt26pU1fQuZ91IQ+9kd7lc2O12ZFnG7XaLv1cqFYLBIK2trUQiEerq6tY9TDmdTsrlstjeZDKhqiqBQIChoSEOHz6MpmnkcjlyuRyaptHc3Ex9fT25XI7Lly8Ti8U2XIpQFMVwlzLYlBjjUgZ3BPqXbzgcJpfLUVtbSyAQqMpiBwcHcblcQunLZrNt6MxUKpXIZrPCyOBaoYlCoVDVCCZJElar9Y75Etc0jUgkQqVSwW63oyiKkO6MRCJYrVYURRHe1larVZSF9fKy3W4XEp8ej0dIlrrdbnK5HKdOnWLfvn0UCgWKxSKyLDMxMYHT6aSjowOTycTS0hJ+vx+Xy8X8/DxutxuXyyXEXBRFIRKJUFtbK9bBzWYzS0tLYk3aYrGIgCxJEvF4nGAwiKIoLC0t0dzcLCRam5qaUFWVeDxOXV0d2WyWTCZDQ0ND1fqz/jugC7XcKT9Xg03PbSu/GIHZ4I6gVCrx1ltvMTk5KdyZ7rvvPnp7e8U2w8PDLC8vEwwGkSSJhoaGdZlSOBzm17/+NeFwGFidcX7iiSduKNv5VUPTNGKxGPl8HlmWxaz2J913ZmaGQqFAZ2cnsViMYrGIoiik02nq6+s/U6OcqqqsrKyIOXCfz3fbx5kqlQq5XE7IqBqB2eA2YQRmgz8slpeXefnll/njP/5j0eT18ccf893vfldsE4lEWFxcRJZlJEmiqalpXWn0F7/4BRaLRZRAjx8/jsPh4Dvf+c4XfUsGXxJ6ZzggflcMDG4Dt+0XyXhUNLgjUBRFmD9kMhni8fi6LE/XtrbZbKJcey1Wq5Xm5mZqa2upra2lubkZWG1K0t2lbpViscjg4CDZbPZT7X+7icfjXL58+QvrOE6n01y8ePFTf36fBE3TuHr1KouLi5/5WJIkoSjKDUe2MpkMIyMjn+s9GRhcDyMwG9wReDwe+vv7eemll/jHf/xHRkZGOHDgQNU24+PjTE9PMzIywuTkJKlUat1xXC4XP/vZz/jv//2/8zd/8zf84he/YHBwkB//+Me89tprN72OcrksGsN00uk0/+N//I/bEjRuByMjI/zf//t/Pxe/4WKxyMTERNWx5+bm+F//63+t88e+nWiaxtNPP83Zs2c/t3OsJRwO88wzz5DL5b6Q8xkYrMXoyja4I5AkiZ07d9LT04OqqjgcjnXjS5VKhc7OTsLhMCaTSXQWr6W/v59gMLju9UQisaF15Fo0TSOVSvHP//zP/OAHPyAQCIiMS5+JvVYWVH9vo/u50Xk22v56GfCN3vs0x7rRccLhMM8++yz/4T/8hw3Hx669/9tx79e+/0k+4xt99jdCv+bW1lZ++MMfVtloXrvNtecyMLhdGIHZ4I4gmUxy5swZ7r///uuOLrW1taEoCqVSibm5OaFzvba553rezb/61a/o6+u74TVcvXqV3/zmN7z99ttC6OLxxx/H5/NRLpd5++23+ad/+icUReGxxx5j69atFItF3nrrLc6ePYuiKBw5coQDBw5ct6FJ0zSWlpZ46aWXmJmZIRgM8s1vfpPW1lYymQy//vWvaW9v5+zZs5TLZf7sz/6M5uZmRkZGeOGFF9A0Tcz3wqoZxxtvvMFHH32E3W7n6NGjDAwMUC6Xefrpp2lqauKjjz4ilUrx+OOPs3379ute19mzZ3nuueeE/GkgEOD73/8+sOrS9eyzzzIxMYHf7+dP/uRPqK+vJ5lM8sorrzAyMoLH4+Hhhx+mp6fnug1Xy8vL/OY3vyEYDHLp0iXq6up4/PHHxdjb6Ogof/u3f0symeTQoUMcOXIESZI4d+4cb731FqVSiT179nD//fdjs9mIRqO88sorjI+PEwgEeOSRR2hra+N3v/sdkUiEWCzG4uIiO3fu5Jvf/CY2m4333nuP48ePY7fb+ff//t+Lka3nnnsOr9fL1772NSYmJnj11Vf53ve+t24kz8Dgs2KUsg3uCHSjihuVZ91uNw6Hg9bWVu655x6KxSLLy8uf6PiZTKZqRGojQqEQDz74IPX19Tz55JN8//vfp6mpCVh9cEgkEjz++ON4PB5++ctfUiqVOHHiBO+88w6PPvoohw4d4mc/+xmTk5PXPUepVOJnP/sZuVyO733ve9TU1PC///f/JplMUiqVOHXqFOfPn+ehhx7im9/8Jh6Ph0QiwVNPPUVLSwvf+ta3mJ+fF+NAx44dE01yAwMD/P3f/z0LCwtUKhUuXLjAG2+8waFDh3j00Udv2JkuSRI9PT0cPnyYtrY2/u2//bd85zvfEc11i4uLWK1WnnzySRYXF3nxxRfRNI3nnnuO2dlZnnjiCdra2vjJT34iFNU2olAocPz4cXK5HH/yJ39CLBbj6aefFpny6OgoDzzwAIcPH+ZXv/oVi4uLjI2N8fOf/5x7772XRx99lJMnT3L8+HGKxSK/+tWvSKfTfO9738Pj8fDUU0+RzWaZnp7mhRdeYPfu3Tz00EO88MILjI2NAbBz507uu+8+JiYmhC67yWRi165dHDt2jNOnT/PLX/6Sjo4OYR9qYHA7MTJmg01DuVxmcHCQeDxOf39/VSZit9splUq8+OKL1NfXI0kSgUCArVu3Xvd4t3vN0+VyEQqFsNlshEIhURLPZrO4XC6OHj1Kb28vhUKBf/iHf6BQKPD++++zuLjIsWPHqFQqRKNRpqam6Orq2vAc8XiciYkJ/tN/+k90dHQQCAQ4efIks7OzNDY2YjabeeCBBxgYGBAl1JGREVKpFA8++CCBQID77ruPl156SfhP53I5XnrpJUqlEouLi8zPzwuhkIMHD7J3796blmMlScLn8xEMBnE4HDQ3N1eVshsaGnjwwQfx+/3s27ePoaEhMe/sdrt58cUXyeVyzM/PE4lE8Pv91z2Xx+MRDwAPPfQQ//AP/yBmrg8fPszOnTvJZDL89re/JZ1OMzQ0RFNTEwcPHkSSJGZmZjh79iy7d+/m/fffp6WlhRdeeIFkMsnU1BTxeByA3bt3s3//fsrlMsFgULzudDqrfLB1urq6+PrXv87f/u3fcu+99/K1r33NcKYy+FwwArPBpkFVVWZnZ2lubl5XrtY0jVAoJEQjYDVQ6mt9X/Y6n9lsFoYI+pe1bt6wbds27rvvPiRJ4utf/zptbW3XPc6193PtWuna86zdR5IkUR5ee35N09i5cyd79+4F4JFHHqGjo0Ns53K5PtVnd+3ardVqFV3yJpNJjCTJssy+ffvEA9Rjjz1207X8tVy7nqv7U+v3q9/j2tK4rhKmC4jcfffdwh3MYrGIBz632y221Y91s3vWxVRUVTV0tg0+N4xStsGmQVEUTCYTH3zwgchedBwOB/fddx8PP/ww3/jGN/jGN77Bzp07GRsbu2Fp9HajK1FduXKFubm5G3btmkwm9u/fz/z8PIqi4PF4KJVKN9Tc9vl8tLe388YbbzA5Ocnbb7+Nw+EQJfONCAaD2O12Tpw4wfj4OGfOnBG2lfv372dqakq4Z5VKpc8kL2q320kkEly9elWUzGHjByO73c6ePXsYHx/H4XDgcDhQVfWm54/H45w6dYqJiQl+97vf0d3dLXS9NzrPjh07mJ+f5/z584yOjvLee++xa9cuAoEA27dvZ2JiApfLhc1mQ1XVdWpwa9FH8mKxGIVCgZWVFdLptNACf/PNN/nP//k/UyqVeOWVV4xxKoPPBeVHP/rR7T7mbT+gwR8GpVKJq1evUigUCIVCNyx36pw/fx6HwyEcivL5PPl8nmKxiMlkwuFwVM0761msLsmpf9GbzWYaGhpuqoClz0e/+eabjI6O0tnZicPhYHx8nD179uB2u0mn0ywtLXHXXXfR1tZGuVzm+PHjnD9/HlVV2bZt23XPI8synZ2dXLx4kXfeeYdcLseTTz5Jc3MzqqoyOTnJjh07qnymrVYrDQ0NnDhxgkuXLtHe3o7b7Wbv3r20t7eTSqU4fvw4H374IYqi0NfXJyQ0u7q6aGho+CQ/HmC1zBuPx3nrrbeYn5+nr6+PcrlMOBzmwIEDmM1motEopVKJ3bt309nZycLCAm+++SZDQ0M4nU66u7uvGxxTqRTvvvsugUCAEydOiHVrt9vN5OQkjY2NtLS0UKlUuHr1KgMDA7S1teF2u8U9bt++nYcffhi73U5XVxdTU1O8+eabXL58mZqaGnFNDodDZPLj4+N0d3fjdrt5/vnnOXPmDNlslqmpKfL5PK2trRw7doz9+/dz11130drayrvvvktnZ6dQOvuyqzYGXzr/9XYdyFD+Mtg0qKrK+fPnmZqaqio/3ojXX3+drq4uOjs7mZmZYWxsTHzp9/b24vf7q74wI5EITz/9NOPj4/z5n/+5KIHq3cif5Mu1cbBp7gAAIABJREFUUqmITFF3KCqVSphMJlEa1TNDSZKqtlcUhVwuxwcffFA1C62zZcsW2tvbKZfLwrxB14nWNZ7186xlrf6zyWQS+tJr39PPr5e6VVUVRhewusb/wQcfbFiBCAQC7Ny5E1mWKZfLYl+z2YymaVX3Wy6Xq86vfx6AsIP8+OOP1zXyybJMIBDgf/7P/8l/+S//RThKmUwmCoUC2WyWYrGI0+nE4XCQz+exWq2YTCbS6TTxeJza2tqqe9Qf1kqlEk6nU5TZdRlRvSQei8Vwu93k8/l1Dw2yLItsu1QqsbCwIEwyPB4P8/PzNDc3i5L6jTJyg680t+3JzPgNMtg0lMtlxsfHMZlMn+rLLR6Ps3XrVuE4tTYj1vnd734n/HnT6TQmk4mxsbENvZuvh66xDKvd3Ha7nUKhwPj4uBgFWluuXrt9qVTio48+YmVlRQTLtejB2mQyoSgK2WxWfBa60QOsflbFYhGbzcbU1BR2u73KaWttU5JuVHEtG63j66pqpVKJ8fFxkVHqJhCSJK37+ay9Lv3ca89/7b9VVSWRSKzrglcURVQC1n5mmqYRj8dJJpMoikIikRB66X6/n2AwSLlcFp3ruhtYpVIR5fNyuYzX60VRFObn58lms8iyLB5MEokEiqKwsLCA3+8nkUhgMpkol8tCS9xsNpNKpcjn8+Kzqq2tBVbHvKLRKA6Hg87OznWftYHBrWAEZoNNgyRJOJ1OkZncKmazmQ8//JDa2lpkWaa7u3vdOEsul6O3t5epqSnK5TL5fP5TddZqmsbKygovvvgiu3btwu12c/78eTRNo7GxEavVyuzsLE6nk/r6epHhlkolrly5wv79+2lsbMTj8TA3Nye0vWOxGCMjIzQ0NJBKpcQ4k+7YBKsZ6ODgIMPDw9xzzz2Mj4+jqird3d3C+3h5eZnGxkacTqd4OKlUKoTDYdLpNC0tLaIE7ff7cTgcxGIxmpubOXDgAMvLy7S1tXHw4EGKxSIzMzMsLi4SDAZZXFwknU7T3NwsBDhuhcbGxutqk2ezWf7iL/6iqlSvu4DpjVdOp5NIJILJZBIPF5IkYTabKRaLIquWZVlktaqqis+hVCohSRL5fB632w2sluitVisulwtFUSgWiyIrX2ukYbfbqampEQ8G+p+112Jg8FkxArPBpkEvTWaz2XUZnh5EdS9fnfr6ehEcWlpahFWh3r18LQcOHOCZZ54hEongcrlwOBz86Z/+6ae63kqlUlX2DYfDzM7OMjo6is1mE7PN3/rWt6qy2Xg8TiQSYXBwkJ6eHq5cuUKpVGLnzp1cunSJUCiE1+ulVCqRSCQ2LK/ncjkymQySJFEsFllcXCSZTBKNRhkdHcVutzM4OMgf//Efi4CeTCZ57bXX6Onpoba2lpMnTyJJErFYjLvuuouTJ0+yf/9+VFVFVVVGR0c5ePAgp0+fZmlpiWQyyb333svp06fp6ekhGAx+qsB8IxwOB3fddde61/UHDL2SoH8+iqKQyWSQZVlUQvQSuS62YrFYyOfzolFP94Vubm4Wdph6T4I+y613rusmF9lsViwT6CV2/YGroaEBs9m8btnEwODTYgRmg03D3Nyc8BC+9gsunU7z0ksv4fF42L59O42NjVgsFvr7+8W25XKZmZkZ8vk8LperKuvS6e3t5Qc/+AEjIyNIkkRfX98tNT/pSJKE1+slGAzS3d1NIpGgo6OD3bt388YbbzA9PU0oFKKhoWFdRl5bW8uBAwd47rnnuHLlCvl8Xtgl9vb2cvXqVUKhEI2NjQSDQbq6uqo+D1mWxdxtS0sLY2Nj7Ny5E03TGBsbY2Fhgb6+vqpxMlgNel1dXczNzREKhZiYmKCnp4dQKES5XKaxsVGsI68tT4+NjeF2u2loaMDtdotjtLe3f2ECG4qiiOxWx2azUalUKJfLotpyvcBoMpnEiFN9fb1Yp9cfAG+U7epjV5qmVZXl9d8vvWPcwOB2YQRmg01DZ2cn2WyWYDC4ThzE7Xbz9a9/natXr3LixAlKpRLd3d309fXh9/uRZZnp6WmCwSD19fWMjY0RiUTWzcyqqko6ncbtdqNpGtPT06iqekuztTqKomCz2RgaGiIYDApvX5PJRG9vL6qqUl9fXxVQJEkilUpx+vRpzGYzvb29jI+PU19fj8/nI5vNYrfbCYfDQlL00qVL9PT0VAUPp9NJLBZjfHwcRVEwm82oqkpNTQ2VSoWamhoaGhqq1oJLpRIOh4NKpUIymaSnpwen00ldXR12ux2LxYIkSWKefHl5mfn5ebZs2UI6naahoUGMPWmaxvLy8g3HuD5v1rpEfZJtP22p+bPsa2DwaTC6sg02DWu7ggcGBtZlsqVSiUgkwsWLF7l06ZIQ2ti1axd79uzh6tWroiEnHA7T3t6+7hivv/46x48fF+VIWC1vHzp06JavV9M0sZ4bDAYpFotCItPlcon55XQ6TSKRAFZHmwKBgGgqcrvdLCwsUCwWCYVCLC8vk8/naWxsFFrPmUyGXC4nZrvtdjtbt25lZWVFZIp6RlepVKhUKkQiEex2uzg2rHZW6x3ejY2NqKpKOBzG6XTi9XopFApCZ3t+fp50Oo3P58Pn8xEOh0WmvrCwACCqFgYGBsBt7Mo2ArPBpiEejxONRolGo4RCoSqFrEwmw2uvvUY8Hqe9vZ2+vj4CgQCLi4u89dZbPPHEE1QqFaampkRwbm5uXpdN/Z//83/Ys2cPu3fvvqGTUjqdJpvNUldXd13Dhevtq4tYZLPZqk5eQKxRKooiOnttNtsNu9D1a1mr2+z3+8nlcjgcjnX3qAdnPavVu59dLhcej8dYBzUw+HwwxqUMvnpUKhXi8biYh12LoigMDAyIZi/9/WAwyH333YeiKKiqSnt7O/l8XjTr6GQyGcLhMFarlbNnz2K320V50ufzVYmZZDIZXnnlFQKBAPv27WNlZQWLxUJNTQ3hcBiv10u5XCadTmM2m2lqahKBNhKJcP78eXbv3s3Y2BiKotDV1SWyTp/PJwK97tjk8Xjo6upCURTR+QywtLREfX09H3/8MU1NTXg8Hnw+nyg3nzx5kpaWFtra2sS6ejabJRqNsrCwwJ49ez7V+rmBgcGXixGYDTYNbrdbKDNdG5grlYrILte+ZzKZxDrnxMQENTU1Ynxo69athEIhYLVj+umnn6ZSqZBKpVhYWBBZ6sGDBzly5EjV+WRZpr29neXlZQYHB7n77rsZGRkhm80yOjpKuVwmHo8jyzLf/va3hfqTLumoKIqYdz137hxOp5OxsTGCwSAPP/ywuIdcLocsy5w5cwa73Y7NZmN8fByr1Yrdbmd6eppyucy7777LkSNHqpqtMpkMsViMaDRKLpdj27ZtjI+Pi2z6VjJ9AwODzYMRmA02Dbqtny47ubaMnMlkGB4epre3t2qfa80cpqamcLlcuN1usbYKq+Mvf/3Xf73hea8tI9tsNvx+P7W1tSSTSerr6wkGg4TDYaHkpZshZLNZMZ4jSRIul0sEaavVSigU4sqVK8CqbWRPT0/VNa8VQbnWsGLt3/XS+LX3rv/RG9kKhQI+n49IJHLDz9rAwGDzYqwxG2waNE2jUCiImWWLxSI6mnO5HK+88grd3d3CHchut6/LIBcWFgiFQuRyuar9dT744APa29uFYtPCwgKxWIy+vr6q61heXsbr9aKqKoVCgZqaGvL5PLOzs3i93irpTV3UQlEUQqEQ0WhUSEXabDbS6TQOh4NwOIzH4xGiFGazGbPZTCaTIRgMIsuyKGVLksTi4iL19fVChjOTyVAsFimVSlitViGS0dDQQD6fJx6P4/V68fl8zMzMUFdXt+7+DQwMPjeMNWaDrx6SJImZ0Hw+XyXZqEtQnjhxQpSzOzo6uP/++8U2JpOJjo6OdZKY8PvM88KFC2KtVs8yr1y5IgKzLuuoB3+z2YzNZhNr1m63m0AgwNTUlJjtjUajKIqCLMtEo1Hq6urEfRSLRZaXl4XwiZ5N61KQdXV1VRm7x+PZ8O+wOiI1PT0tLBYDgQCqqgot7s7OTtEIZshCGhjcuRiB2WDTUC6XGRwcJB6P093dLVSYYFUc47HHHqsq8641KoBVh6CmpiYxgqTLXMLqqNXLL7/Mu+++y/j4OF6vF1gNxEePHkXTNGZnZxkcHBRrvXrQdbvdjIyM0NTUxOTkJD09PULHOplMYjKZ8Hq9uFwuTp48yfDwMN3d3SwtLdHa2srCwgKtra0iC9ftEm02G7Ozs6iqisvloq+vD0VRGBkZYXl5mebmZhYWFvD5fMTjcQKBAENDQ+zYsYNgMEilUuH06dOYTCYikQh1dXXU1taSSCTYvn27kS0bGNyhGIHZYNOgC1s0Nzfjdrurst5iscjs7CwdHR0bCkpEo1GuXr3K0tISNptNNEPpmEwm7rnnHqanp6usDj0eD+3t7WiaxsLCAk6nk/Hxcex2uygPezwevF4vNTU11NfXE4vFhNRjPB4nnU5z4MABANG0NTw8TDqdRpZlYTUJCJ/fhYUFstksqqrS2dnJ0tKSMMBYXl4W/r/pdJrFxUWampoIhULMzMyIhwpZlvF4PNhsNqH/fOrUKbxeLx0dHUZgNjC4QzECs8GmQVEUTCYTFy5cwOfziQAEqz6958+fp7W1dcPArHdz19TUiFGotTrOurbx448/Tk1NjSgp6+jKVnNzc9x1113CCMHpdOL3+4WcY3t7O6VSiVQqhaqqWCwWXC4XlUqFbDZLfX29cCLS16aLxSLxeFwYHTidTvr6+sQ6ut7YVSgUhDuSLMu0tbWRTCZxu93U1tZis9kIhUKkUimxxlxfX8/Kygqtra1YrVYxynVtGdzAwODOwWj+Mtg0FAoFXn/9dVZWVrj77rvp6ekR72WzWV577TV27NghGrcsFktV8NU9f3V0v91PwjPPPMPhw4epr6/n2v8T1ztGuVxmbm4On89HqVSiXC4Lr+BbRZ/h1g0k/H5/lZHH2msqFoskk0kkSaKmpsbw/zUw2BwYzV8GXz0UReHAgQPMzMysy2h1v90XXnhBSHF2dnbyta99TWwTjUYZGRkRbkN79uwRYh03IxaLCWWtXC7H3Nwc9fX1mM1mYeqgN1np3dZ6Nmu1WoXONKw2runNXfpretd2pVIRTkaFQgGn00mlUhF2hhaLRWxTLBapVCoi8GazWdFUFggEDAUvA4OvKEZgNtg0XLhwgXw+TyKRwOFw0NjYKN5zOp185zvfqcocr80U9WYrvWHr2gz6k7K8vEwkEhE2g5FIhEAgIF4LBAK0t7cTiUQIh8PU1NSQTqcxmUwEg0GWl5dxu92Uy2WhRDY6OoqqqtjtdtLpNKFQiNnZWZqampidnRXl9a6uLhYWFhgcHMRiseDxeFAUBbvdjqqqyLLM0tISe/bsMcrVBgZfUYzAbLBpaGlpoVgsEo1G11k2SpJEoVBgaWlJ6EDX1NRUuRt5PB6cTifxeJy5ublPHbi8Xq/w4E2n09TW1lJTU8Pi4iJ+v1+UnXUziLm5OWRZxuv1UltbK8a+dPvGWCwmVMs0TcPv92M2m6mrq0PTNCwWCw6Hg0AgIHSxdb9hWZYpl8vCDEO3KvwkjkoGBgZ3JkZgNtg01NbWcuzYMSKRyLqgmslkeP7550kkEsiyTD6fZ/fu3VWB2efzoaoqbW1tNDY2Vulf3wput7vKy1gvGe/btw9ZlkUzVyAQwOPx0NHRUaXC5Xa7iUQibN26VTSI7dy5Uzxs6EpdOt3d3UiSRLlcJhaLUVtbK4659vxr9zHkNg0MvroYgdlg0yDLMtu2bWN2dhaTyUSpVBJGE7qT0q5du6hUKtTV1TE4OFi1f7FYZG5ujnQ6Tblcpr+//xMH5x07doh17bUymddeHyBmnK+H3i19q+i2igYGBn/YGIHZYNOgKAqdnZ20tbWRSCRESRcQalcul4t3331XKHetJZ1OE41GcTgceL3eqq7m0dFRYWKhN1/BalPZ17/+dQ4ePGg0UxkYGGwKjMBssKnI5/NCjlPPlmHVS/iBBx7AZrORyWSIRCLs2bOnal+Px0MgECCRSLC8vExjY6PIghsaGvhX/+pfcf78eZLJJIcOHULTNE6ePEm5XDZKwwYGBpsGIzAbbBpUVeX06dOYzWZ6enqqZpQlSaJUKjE6OirGjJaXl6tK1blcDlVV8fl8QrhDVVVMJhNut5vt27dz5swZDh06xK5du9A0jXw+z/j4+JdxuwYGBgYbYgRmg03DyMiIkOTU54B19OYvr9crBDyuFfLQ7RlNJhOSJAnZS92TGVYbrZ599lmGhobQNI0rV67wyCOPfDE3aGBgYPAJMAKzwaYhFAqRTCbxer0UCoWq9/L5PE6nk0ceeaRq7Xgta0vfsF4JDODee+8lEAgwMjKCJEn8m3/zb+ju7r59N2FgYGDwGTECs8GmoVKpMDMzg6qqwllK0zRGR0eFmMexY8doaGhAkiT8fj9dXV23dA5JkvD5fGzfvl28FovFhM2jgYGBwZeNEZgNNg0ul4v77ruPfD5f9Xo8HicWi9HR0QFAJBIB1it/XctGDV3vvfcezz//PE6nU3RhHz58mAceeOB23IKBgYHBZ8YwsTDYNMzPzzM8PEyhUKCrq4uenp51I1HXsnbEqVwuk8lkhMWi2WzGbDZXlb7//u//nl27drFv377rHsfAwMDgU2CYWBh89airq+Pq1atomia8hG8lYE5PTzMxMUEmk8FkMrF37951gh3Nzc2MjY3R2NgoMm6n07nONMOgmrUPSNf+TK5VSPs0x/0iH4y+jHMaGNwKRmA22DRUKhWhO12pVG55/3Q6zdatW1lcXMThcKxrIAPE7PLg4KDo3j58+HCVS5XBelZWVpienmbXrl1Vr2uaxtLSkhhRu1XeeOMN9u3bh8/nu12XelMSiQQmk8l4GDPYtBiB2WDTIMsyDQ0NrKys3LSEvRHBYBCr1Yrdbmdubo6dO3eu2+aBBx7g0KFDVa9dr8v7D4lKpcLw8DATExO4XC46OjqYn5+nWCyye/duLl26JLZ7//33yWQy+P1+6urq+OlPf8qOHTs4cuRIlflINBrl448/xu1209LSwvDwMMVikf7+forFIqOjo3z44YcMDAxUXcfY2BhTU1O0t7eTTCZZWVnBbDbjdruJxWIoikJtbS0ej4crV67Q2NjItm3bRE/B7Ows5XKZpaUl6uvrhY2ny+Viy5YtPP3005jNZh588EHMZjNDQ0M0NDTQ2dnJhQsX0DSN7du3c+nSJfL5PC0tLWzdutXIsA2+MIzAbLBp0DSNTCaDoijk83k0TbulL8OamhqSySQejwebzVYlUKKjqirnzp0jGo2K4N/f31/Vpf2HSCaT4f3336exsZFwOIzJZGJiYoL77rsPq9WKx+Ph8uXLlMtlTpw4wQMPPMCZM2f49re/jc/no7e3d91cuaZplMtl3n77bfbv389HH33Enj17eO+990gkEgwMDIh+AJ1kMsnLL79MMBjkwoULOJ1ONE3D4XAwNzdHU1OTcPzat28fpVKJ119/ne7ubuFVvby8zNjYGOFwmKamJpqbm6lUKpw4cYJQKERtbS0NDQ0EAgHeeecdkskkW7ZsYWhoiFgshs1m48SJE1y+fJmjR49y8uRJOjo6jAc4gy8MQ4fQYNNgMpnYtWsXhw4dwuPxrOvOvhkTExOMjo4SjUZJJpMUi8V127z++uucOXOGkZER4XucTCZv1y3csVitVkqlEmNjYwwMDCBJEh0dHbS0tGCxWHC73SIj9fl8bN26FavViizLuN1uYWWpo2kaZ86coVQqoWkaqqrS0dFBW1ubkF3t6OgQWug6xWJRZKmHDx/G6/USCoUIBAJomkZDQwPBYBBJkjhx4gRWq5VCoVBVYfH7/YTDYUKhEJFIhCtXrohtNE3D6/VSU1ODw+Fg37592Gw23nvvPeLxOPX19YRCIRKJBKFQiC1btgAbz8QbGHxeGBmzwaZBlmWam5uB1aynUChgt9s/8f66h7IeIDZap45Go3zrW99idnaWYDCIpmlMTU3dnhu4g8lkMsBq0L18+TJNTU0iQ8xmswwNDYnmOq/XK/ynLRYLoVCIkydPcv/991eVsq1WK9FoFJvNhsPhQJZlzGYzNTU1+P1+jh07RqlUqhp783q9bNu2jYWFBZqamqipqcFisaAoCn6/X1RBVFUVNpkul6uqsuLxeLDb7bS3t1MoFPD7/USjUaxWKyaTicbGRi5cuIDX6yUWiwlrzp6eHk6dOgXAwMAAk5OT4j4NLXWDLxJjXMpg06BpGrFYDFgNqjab7ZYadC5dukQ6nRaNRKFQaN3+L730krBkPH78OBaLhY6ODh577LHbdBd3JrOzs/zud7+js7OTqakpvv3tb2Oz2bBYLJTLZRKJBOVyGYfDgSRJ2Gw28vk8NpuNUqlEOp1maWmJy5cvA7+vfrhcLiwWC2azGU3TMJvNFItFFEUhnU4jSRIXLlwgHo8DEAgE2L17N8ViEZvNhizLIujqNqD6d5audS7LMh9++CErKyvAqq/3wMAAbrebYrGI2WwmnU5jsViw2+1omkYymcThcFCpVMhmszidTqxWK+l0Gk3TcDqd4hry+Tx2u91YYza4GbftF8QIzAabhmKxyKuvvkqlUmHnzp20t7ff0pfh0tISc3Nz4ou7o6NjXbdvNptF0zRMJhOnTp0inU5z+PDhqkzvD5Fyuczs7CyZTIZQKERNTc0tffb6evLaNWOz2XzTTFPTNFHuhtWqh9lsvuVzf9ZjGBjcBow5ZoOvHoqi0NDQwOzsrMjMboV0Ol1Vyt7ooXNtg9L999//2S74K4SiKLS1tX3q/SVJwmQy3VSNbaP9Ps2Y1e0+hoHBZsJYODHYNMTjcRwOBz6fj3Q6fcv7q6oq1gv1xqQvC03TqFQq69a5JyYmePbZZzdsTPs0FAoFnn76aWZmZm5pP71b+sc//jG/+tWv1jU3aZrG/Pw8P/vZz/i7v/s73nrrrRuOsBWLRX79618zPT294ftDQ0M89dRT/OQnPxFl69tFuVzmlVdeYXBw8LYe91pGRkZ49dVXjUYwg88dIzAbbBpMJhPFYpFAILBhULsZpVIJh8OB2+3G5XLdcvZ2uxkcHGR0dLTqtZWVFYaGhtaNCX1ayuUyH3/88S0HO1mW2bFjB11dXVy+fHnDz/qFF14gnU5z5MgROjs7b3odH3300XWvo62tjb179zIyMkIul7ula70ZmqYxPDzMwsLCbT3utSiKYpTIDb4QjFK2wabBZrMxOTlJQ0MDU1NT+Hy+W3J98ng8pFKpqiagL4NSqUQkEuH48eNi/tXlcuH3+4HVQJJKpYhGozidTmpqakR2XyqViEajVCoV/H4/Vqv1EwWCUqnE/Pw8gNgPVjPZlZUVisUiLpdLnEuSJDHPu7ayoGka2WyW5eVlJicnueuuu3C73dTW1t70OiRJQlVV5ufnRRe1/nDkdrtpamra8GFJVVVWVlYoFAr4fL4qg5FisShmztd+HvrMeywW+8Sd+/p5nE6nmFeura1FlmXReKg3e2UyGbxeL263G03TiEQimEwmBgYGqj6vlZUVLBYLuVyOfD6Pz+erajhc+/nrP2tFUUQDmt6E5vP5jM5vA4ERmA02DZIkoSgKExMTWCyWWy4Z1tXViRJ4Q0ODEJz4okkkEhw/fpyhoSGWl5eZnZ1l27ZtwsFqYWGBX/ziFxQKBdLpNN/97nfZtWsXmUyG3/72t8zNzQGrDxrf//73b/qAUSqVOHbsGCaTiUQiQXd3N//6X/9rzGYzb775JhcuXKBSqZBOp/nOd77D3r17b3i8yclJTpw4wfz8POfOnWN2dpYHH3yQ3t7em17H66+/jqIoJJNJ9u7dyyOPPHLDykWhUOCFF17g8uXLmM1mTCYTjz/+OB0dHSQSCZ555hkWFxeRJAmv18uTTz5JIBBgYWGBn//856iqitPpZGZmhv7+/hteXywW4+/+7u9obGwklUqRSqV46KGHuPfee6lUKvzLv/wL5XJZvHfgwAGOHj1KuVxmaGiIU6dO4fF4+OEPfyj6GP7lX/6FlZUV0d1ttVr5d//u31FbW0s8HufXv/61EGypqanhz/7sz3C73QwODvLyyy8jyzKFQoEHHniAgwcPGtm4AWAEZoNNhizL9PT0MDExccul6MnJSbLZLLlcDpPJhNVqpbW19XO60uvj9/t54oknmJmZ4Y/+6I+45557qr5wC4UCDz/8MJ2dnfzmN7/h1KlT9Pf3c/bsWebm5vjLv/xLLBYLP/nJTzh58iSPPvroDc9XLBZpbW3l8ccfZ2ZmhqeeeoqjR4/S2NjI3XffzcGDB7FYLPz2t7/l3XffZc+ePTcMANu2baO3t5elpSWOHj3KgQMHPlE2VyqV6Ozs5NFHH2VsbIyf/vSn7N27V8ymb8SVK1e4cOECf/VXf4Xf7+eVV17h+eef5y//8i85deoUKysr/NVf/RVms5mf//znHD9+nCeeeII333wTl8vFD37wA2KxGP/tv/23m15fpVJhcXGRhx56iAMHDvD+++/z6quvMjAwgMPhIJlMks1m+Yu/+AtcLpdQnjOZTNx///2YzWZOnz5ddcx8Pk8ymeSv//qvAfibv/kbhoeHueeee3jnnXdYXl7mhz/8IR6Ph0KhgNvtJp1O8//+3//ja1/7GgcOHGBoaIhnnnmG/v7+P/jpAINVjMBssKkoFotcvnwZl8tFqVS6pX3L5TJ2u510Ok0qlVonEflFIUmSCGR6FWAtTU1NtLa2YrVaCYVCLC4uoqoqY2NjLC0t8dvf/hZJkgiHw59IBtJut7Nt2zbsdrso9+oGHplMho8++ohkMsnExMS6a9no2uH3XtayLN90Hx2bzUZXVxdWq5Xm5mYsFgsrKys3DMyTk5MEg0FCoRCSJNHX1yfG2CYmJuju7sbr9SJJEtu3b+fEiRMUi0XiMKnaAAAgAElEQVRmZmbYu3cvdrsds9lMU1PTJ7pGt9tNW1sbZrOZrq4uCoWC+F2RZZne3l4CgcC6B5e1P9Nr6evrw+v1UqlUqK2tJZ1OU6lUGB8fZ2BggLq6OjH7Davl79nZWc6dO8fw8DDZbJalpSWSyaQRmA0AIzAbbCJkWSYYDDI3N0dXV9ctrS8DtLe3Mzw8TD6fJxAIUFdX9zld6WfjevO9JpOJ+vp6IYmpf6nfDD2rW4u+LvrUU0+xd+9etm/fTj6fZ3Fx8bbdx7VUKhVUVRUzzZVK5aZBXV+yqFQqyLJMqVQSDwO6GIneDV4sFjGZTMiyjMlkErPLegf8J6FcLotr1JdK1j5EWSyWWy4nrx3V0vfVH8g2erhUFAW73U5vb69Ypjh06NAt/74bfHUxArPBpqFSqVAsFpEkCYfDUaW9/ElwOBzs2bPnc7q6W0OSJJxOJ+Pj43R2dmKz2W5obSjLMjt37mRiYgKz2UwgECAWi21oxLHRuTYilUqRTCbp6urC6XRWGXeUy2UymQypVIpisUg8Hsflcn0mhatCocC5c+doaGhgZGQESZJoaGgQ66+JRIJSqUQikcDtduNwOOjr6+PEiROcO3dOSHv29vbidrvZtWsXL730EsPDw1gsFt5//33279+PyWSir6+P8+fP09vbSzweZ2Zmhn379t30GlOpFO+//74QmAkEAjfNUlVVJZPJkE6nKRQK4rO6UQ+DLMsMDAzw2muv0dbWRiAQIJ1O09HRQSAQoKuri5WVFXp7e1FVlVwuZ5hkGAiUH/3oR7f7mLf9gAZ/GFQqFWZmZkilUnR2dq4zOLgZkiSt+/NlIUkSbreb8+fP88EHH6AoCp2dnSQSCVZWVti9ezcmk4loNEo+n2fHjh0Eg0EsFgsnT57k3LlzLC0t0dXVdcPPoVwuMzo6Sl9fH7W1tZRKJSYmJujv76e+vp58Ps/p06eZnp6mo6MDu93Ojh07iMfjPPfcc1y8eJFMJsPk5CT5fJ729naRQY6OjtLR0SEkTG+E7qVdX1/PyZMnCYfDPPLII3R0dFAoFDh27BjvvfcemUyGubk5IpEInZ2d+Hw+vF4vJ0+e5MKFC9TV1fHNb34Tl8slqgVvv/02Fy9epK+vjyNHjmCxWKivr2dhYYGTJ0+STqdpbm4Wf65HJpPh7Nmz1NbWimt57LHHxHmmpqYIBALr+hIWFhZ4/vnnGR4eJp1OMzk5iSRJtLa2MjU1RW1tLR0dHWiaxuTkJPX19bS0tFBfX0+5XObUqVNcuHCBZDLJ1q1bcTqdtLW1MTIywrvvvsvw8DA2m43u7u4/+M7stbPyn+b/71r1t1vd9to5/U9x/v96qztcD0OS02DTUCgUePbZZ5FlmUOHDn3idcPNiqZpFAoFKpUKZrMZs9ksSql6yVQ3Y9D/rVcN9DKw2Wxmenp6wxldWZaFy5PZbBZjOIVCAYvFgizLqKpKqVQSMpXlclnoTevWmjomk0lch6ZponSsH3d6eppwOLzhdWzZsgWHwyFm0fWysD6KVCgUqma3ZVnGZrNVnUv/HBRFEV+KlUpFrJfrx9P3KZfL4hr11yYmJoTe+losFgt+v58f//jH/Mf/+B/x+/3Islx1v2s/p7WUy+V1Dlb6z3PtPvp9KIoilhbW/jxNJpOYg9ZL6Wv3X3vff6hUKhVRPdB/d/SH7LWBVP93pVKp+sz037G1vxNrtdVlWRbLJnolRx+J038WunnO2mWJT/hzMSQ5Db56KIpCX1+fEAr5PLh69SqhUOi6JeJIJCJKujrJZJKPP/5YmDJ8EvRMtqurq8oneHh4mP3794vmrmAwiNls5qOPPsJsNtPT08Ply5exWq1s3boVWG0W2sgBS5fRXJtRr20yAjaUyVRVFbPZfMPPWJIkrFYr+XyelZUV/H4/sVhMXIe+PqsH7paWFlGqv3auWL+mcvn/s/feQXZe9f3/6/be9pbtvUm7q2bJ6rYxFkWAbQgGjD0Gx5CEmDqBJAMzTJz5zoBNCCYkAwHiYIqpxoBxkWVcVVdda0vbtb3dvb33+/tDv3OyV9JaspFBxvc9o5nVPvc5z3me5+75nE97v/OyiEoYVrGALkepqVQq5XhLF2KRZ156b/l8Hq/Xy+Tk5Hn3rNfr5QK8dMylc1xuDiqVatlndW5++dxwtNiAnAthjF9tuubNgFQqJTeX6XRafsey2aws8DSZTORyOSKRSEmhYj6fR6VSYbVagbPc+LlcTmq86/V6MplMyXfQYrEAZyl9VSoVmUxGbi7z+Tw2m+1P/p7KhrmMKwZCkej1QCaTYXZ2loMHD3LNNdcwPz8v84SBQEDmgAUBhfi80WjEbrczMzNDW1tbiWGOx+P4/X6USiV2u535+XkqKirQ6/VMT09z+PBhqqqqJAmGw+FgdHSUtWvXkslkiEQiuN1u5ufnefbZZ3nPe97D7Owszz33HDfeeKOs1m1ra2PdunVy1x4KhQgGg3JByWazRKNRuaB5PB5yuRw+n4+qqiqZF7Xb7YyPj+P3+yVxiPAqAoEAi4uLknAjHA7jdruJx+PSq3e5XFitVjweD8ePH0epVHLVVVddkOAjFAoRCAQwm83SwCcSCTKZDM3NzRQKBYaGhqitrSWVSqFSqUgmk6hUKnQ6Hfl8Hr1eL+9HoVAwMjIiPfKqqiopVWkymbDZbESjUaqrq7FarVRXV5PNZnE4HNKoJpNJ3v/+95dsZMTiPDIyQktLC2q1mkAgICuqheEVBl14cOd6cku9aXEMzkaBEokEDoejZAzxjAThS7FYJBwOo1QqWVhYoLW1VY639Do+n0/evzhPkOo0Njb+2VM4lwOiwC+ZTMpIQyKRQKvVljxboVYmPF0hTrO04LBYLEpjLKIU+XyebDZ7HnmPeNeiOHMp7/6fGmXDXMabAgMDA0xOThKJRAgGgwwMDBAIBGhtbSWZTBKLxXjHO97ByZMnMRgMzMzMcOzYMbRaLbfddtsFjU9/fz9jY2OsX7+e+fl5ent7yWaz1NbWolAoiEajHD58GKVSSVtbG1qttmSh379/P3V1dXJhsVgsxONxlEolZrOZJ598kkAgQGVlJTfeeKP0Avft24dGo6G7u5sXX3yRt771rfT29jI5OUlXVxeDg4PMzs6STqdpaWkhEongcrkwm834/X4CgUCJIclkMjz33HNEIhFWrFjB+Pg49fX1VFRUEAgEGB0dZfPmzTz22GPU19fj9Xrlxma5aujZ2VnGx8dRq9VYLBaUSiUWi4VQKERFRQVarRav10s0GmVxcZHOzk7pycdiMUZGRmhsbMRkMpHP50ukGoPBIKFQiNnZWWpqauRmSLQ+JZNJxsfHmZ2d5eqrr5aG2WAwsGXLlpJ5xuNxDh48yNzcHGNjYxgMBtLptExB+P1+ufhXVVXh9XppamrizJkztLa2yuKt3t5eFAoFkUiETCZDfX09fr+f2tpaEokEIyMjcqMkNlv79+/nne98p6wF2L17N7W1tYyOjjI9PQ2cjUxs3boVo9HI0NAQfX19OJ1O+vr6cLvdhMNhnE4nZ86cIZvN0t7e/sf/sfwZIYomAWmI1Wo1er1eVuKL6n04W/C5NJKiUqkkZ74YQ0RWhMEVoWyxoRJj6XQ6CoWCNNh6vZ5isXjJ7YKXE2XDXMabAiJvpNfrZThW7Mi7uro4deqUzAUGAgHi8TgOh4O2tjby+TzBYJBgMIjH4ylpr2lqaqKpqYldu3ah1+vx+/24XC5cLhcajYZUKoXb7cZoNBKLxQiHw4RCIaxWK5lMRi6s1dXVVFdXE4lEqK6uxuPxkEqlaGhooLm5uaQoSK1Ws2LFCukVjo2NEY1GJQtWNBolnU7T1tZGc3Mz/f39dHV1yX5hoWu8tGdZ8FfX1dWxsLBAT08PNpuNubk5IpEI8Xgcj8dDW1sbCwsLVFdXy0XzQmhpaaG+vl7m/ERLV1NTk2TWWrt2LQaDgVwuJ3Wd1Wo1hUKB2tpamWcMBoMUCgU6OjrkGLlcTubXc7kcXq8Xq9VKW1ubzNV2dnZeNCUSj8elJzs5OUlbWxs1NTUolUqGhoYoFArk83mqq6uJx+Ok02nOnDlDMBiUC3o8HmdhYYFsNks6naapqYmFhQUWFxdxu92EQiE0Gg0ej0dWdouKdRH10Gq1VFdXU1FRIfPxw8PDNDQ0yI1JIBDAZrOxuLhIJpMhFovR3t5OVVUVe/bsobu7+7X+eVwxWNr6t/S7JX4WBlUY16V63QLC+AqjKv52zjWwS1vtRHrkSok2lIu/ynhTIBaLMTg4iFKpxO12Mzc3JwuChCen1+sZHh7GZrNRV1fHmTNnMJlMuFwuTp8+LXmcc7mczCcajUacTiczMzPMz89jNBpxu91MTExgMBioqqpibGxMhlQHBwdpaGhAr9czNDREQ0MDdXV1TE9P09LSQiaTYXp6mubmZrxeLxMTEzidTrmAiJys2+2W7Vh+vx+73c7u3bvZvHkzDQ0NpNNpZmdnaWpqksIgBoOBaDTKwMAAVVVV0hhns1mOHz+O1WrFarXS3NxMVVUVarWawcFBfD4fra2tMjScTCbRarWcOXOGzs5OaVzeiMhkMoyNjckCPa1WKz38ZDIpvXS9Xk8ikSAajeJ0OgmFQthsNvR6Pblcjvn5eRkS12q1kkDGYDAQiURwOBwYDAY5Rm1tLT6fT4b6BY1pLpeTHpvYNAie8kQiQSAQkB682WzGZrNhMBhkSkUQtZTxZ8Fle/Blw1xGGZeIfD7P5OQk6XQapVJJTU3NJReDvRKEIINarSadTsu8VjQaxWazEYlEmJ+flxsCkaMVuVg462ns2rWL973vfahUKsLhsCTuMJvN0psuFotyER8fH5eV2uK+1qxZQ1tbG2q1mng8LivFlUolsVhMFnEtrfoW1dhvJohK80QigVqtlmH9hYUFVCoVbrf7oiHQpWOoVCq5IViKQqFANBqlUCjIiE8ZVyzKhrmMMv5SkM/nOXbsGHq9nmAwKCUrI5EIdXV19PX1sWLFipKQ89DQkMy/CuUqn8/Hli1b0Gq1DA0NSYIRvV6Pz+fjLW95CyqVioMHD1JRUcH09DR1dXWYTCbS6TR2u53p6Wna2tpwuVzs379fhgQdDgeRSISqqioikQgLCwu4XC4pHwng8/moqKi4LEQZoVCIfD5/SapWlwPFYpFQKCTv9fW+pijOEx7vhZBOp/F6vRSLRQwGwwWpQsu4olA2zGWUcSVjae/ucq1ZmUyGdDqN0WhkdnZW9vUKYyiKWQKBAHa7vYTmUrRzCE9Kp9NJrzsWi2GxWGQ7UqFQIB6PS4pLwQstCrGMRqOsUj116hS1tbUyb9rQ0ECxWJTG22QykUwmZc5eq9VitVqZmprim9/8Jp/4xCcuuQCpWCwSi8XQ6XTntSr9/Oc/Z2FhoUTJ6fVEoVDgwQcfJJvN8rGPfeyyRQAEa5jVai0xqoFAgPvuu4/bbruNNWvWXPDcmZkZfvzjHzMxMUF9fT3/+I//WG6vurJR7mMuo4wrHQcOHCCRSPDud7/7gsdPnjzJ+Pg4H/jAB6ivr5e/P3ezvJzXeC5LkujTFS1P4vfFYhGXy3Ue09FSD8xgMJDP5+nq6kKr1eJyuaitrb1gb+/S8L04P5/PyxzppSKfz/OrX/2Ka6655jxjnkwmZTvUnwrJZLKEm/tyYGZmhl27dnHXXXeVGFURon4loZbq6mr+4R/+gZ/97GcMDg5e1nmVcWWjbJjLKOMchEIhAKmOJIrEluYMC4UCwWCQeDyOyWQqEbpPp9P4fD7279+Pw+GQFI4ul0v2SAeDQfbu3Usul5PHnU4nZrNZGtNEIkEwGESpVOJ0OksEFsSibrFY8Pv9ZLNZbDabJFZYiqUMRkvnH4lEiEajKBQK7HY7JpNJ5pB9Ph9Wq5VgMEgsFsNoNJYYfDhLBOH3+2WLyqWGWUVOfWpqiqNHj9LQ0CC1mCsrK0sMmCiWUqlU8hksvYdwOEw0GsVgMFBRUfGqWlvEO0wkEhd8bmKeoVBIXn9pNXs+nycUCslIhcPhkFEPUcnf29vL8PCwzOdbrdYSznTRkhWPx7FYLNhsthLCDK1We0EvOZlMEgwGcbvd8nihUGBxcRGdTicVucp4Y6JsmMt43bCU6elcXIjTdqlHIBh8lltcBDHEhT7zSte92BwAdu/ezfDwMCaTifn5eZLJJNdeey033ngjWq2WbDbLrl27ePHFF+W527Zt453vfCc6nY7Tp0+za9cujh8/jtlsZmZmBp1Ox/vf/366u7sZHR3lscce4+jRo6jVakKhEGq1mptvvpmrrrqKYrHIwMAAv/rVr6SEYH19PbfffrtUINq/fz8vv/yyrBhPJpNs27aND33oQ694zwJHjx7lN7/5Dblcjkwmg9ls5qMf/ShtbW0kEgm+853vUFdXx9TUFPF4nEwmw0033cT111+PUqnE5/Px4IMPMjMzg8lkwul0XrK3XCwWee655zh48CATExM8+uijWCwWnE4nd955p1RcWlhY4Hvf+x4+n49YLEZPTw8f+chHZGX8Cy+8wNNPP02hUKBQKLBx40ZuvPHGZXO2S5HP53n++ed57LHH0Gg0kqBE8IIXCgX6+/t5+OGHicfj5PN5mpqauP3226moqCCfz7Nr1y5eeOEFmbaorq7m4x//OG63G7/fzy9+8QtOnjxJIBDgBz/4AQqFQn5PxDX27t3L73//e+LxOIVCgVtvvfWS9K/9fj/3338/H/nIR6QaWTgc5v7772fnzp1ce+21l/QuyrgyUTbMZbxmCFYok8lELBaTNIlioZ+dnZV0diI/KXiPC4WCLDQSnmAymWR0dJSGhgb6+vpYtWoVZrOZeDyOTqeTFanCUzp16hSrVq2SlcepVApACgss9TKz2az0/AT7j0ajYXh4WIZRhZB9KpXi1KlTfOpTn6Kzs5OXXnqJH/7wh6xYsYKuri5OnjzJ448/zl133UVbWxtjY2M88MADuFwutm7dSk9PDy0tLXz1q1+lq6uLW265Bfg/ZqH29nY++clP8vWvfx2Xy8Wdd95ZcjwUCvHDH/6Qnp4e3vGOd5BIJPjud7/L73//ez7ykY/IHPOBAwf44Ac/yGc/+1mKxeKylJIXQmNjI3fccQdut5tEIsG3v/1t/vCHP0gxhnA4TDAY5JOf/CQOh4MnnniC3/72t6xfvx6r1cqTTz7JwsICn/nMZzCbzTzyyCNEIpFLurZCoeDtb3873d3d/L//9//46Ec/ysqVK8+jtJydneWmm25izZo1DA0N8Z3vfIctW7awdu1aRkdHeeSRR/jwhz9MV1cXY2NjfPe736Wuro4tW7Zc1Fucnp7ml7/8Je9+97vZtm0bk5OTfOMb35CGORAI8OCDD7J+/XpuuOEG+YyeeOIJbrvtNpRKJd3d3XR0dOB0Opmfn+c//uM/OHLkCDt37sTlcvGxj32MRx55hL6+Pv75n/9ZRgXE3HK5HIFAgLvuuguTycTPf/5zfvOb37B69eqL9l+73W5qa2vZu3cvPT09qFQqhoeHiUajdHR0lL3lNzjKhrmM14RiscjIyAinT59m9erVvPTSS5hMJlpbW+nr62PLli1S8nB4eJhEIkF9fT0TExPU1NTgcDjo7e2lurpaGpRIJML+/fuxWCySNMPpdDI6OorH4+H6669HpVKxsLDAyZMn8fl8OBwO+vr66OnpYXx8nLa2NgKBAAMDA2zbto2qqirgrLF74YUXJCNTTU0NlZWV7Nu3D5fLxfDwMKlUSnoaDQ0NrF27FqPRyPr166X84IoVKzh8+DD19fWsX79etrl0dHRw6NAhNm7ciEajwWAwSBGKcxdZwUQk/p17fGJiQhqlaDQKnCX+OHXqFMlkUuZ47XY7N9xwA06n81W/P7fbjdlsJhwOk8/nqaqqIhAIlAhNbNq0SW5a1q5dy4svviiLyPr6+ti0aRNN/78a1fbt29m3b98lXVsYYIPBgFKplP3g56KlpYVNmzbJKnW73Y7f7wfg2LFjaDQaSeBhMBiwWCycOnWKTZs2XTSkPTo6CsDWrVtxOp3YbDY6Ojrk8fHxccnyJd5BTU0NL7/8MslkUipExWIxIpEIGo0Gh8Mh56dUKjEajbKtTBTKLYVarWb79u00NzcDsGbNGgYGBmRB4CtBq9Wyfft2fvSjH+Hz+XC73Rw6dIiurq4rVoe8jEtH2TCX8ZqQzWaZmJiQdJaCHWlycpJkMkkikSCbzbK4uIharaa5uZlkMonb7WZhYYGWlhaZHxO7e5vNRmVlJTqdjurqatkCVCwWS/iNhYKPVquV14vFYlitVtrb2wmFQmSz2ZLCmtnZWWKxGNFoFK1Wy8qVK1GpVFRVVaHT6XC73fT395NIJABK9KA1Gk2JEQuHwzgcDrn4q9VqKioqGB4eviwFOrFYjEAgwMMPPyznICghl45vtVpfU19roVDgwIEDPP3003JzMDY2ViKZKHLi4t0IBiXBhBWLxUraikwm02XXE7ZarXJMpVIpe67hbCh3enqa//3f/5Wfz+Vyl9xXHovFSjZFCoUCm80mx49Go/j9fn71q1/JCu1MJkNdXZ0MXT/11FMcOXJEMpRNT0/T1dV1yfcnagfEMxTe9HI0p0uhUChYuXIlZrOZo0ePsmHDBoaHh/nrv/7rN11P+V8iym+wjNcEjUbD5s2bpfC9RqNhcXGRdevW0dHRgdvtxmKxyMVPrVbLyt2Ojg7sdjsbNmwgk8lIcouqqiq2bNmCTqeTXs+KFStkDnZychKlUonJZKK7u1sS1icSCSoqKmQr0erVq1m1ahWJRILp6WmKxSJVVVVs27ZNhirFhmD79u2oVCo8Hg92u11uAEReVbAsxWIxbDYbKpUKu91OIBCQxBu5XI5gMLhs/+tS4v0LHTv3uMlkwu1283d/93cl0pfnqiK9VsGCQCDAT37yE972trfx9re/HZ1Ox4MPPnietORyeU6VSoXJZCIcDsu5p1IpMpnMq57LK+GV7k3QpYoQsYDgQ74YRJ46lUpJvuVYLCafr8lkwuPxcPfdd5foUatUKvR6PYODg/z617/m4x//OBs2bKBYLHLffff90ff4ajZ2ZrOZzZs3c/DgQdnS9kbnyi7jLN7cqtxlvGYoFAo8Hg+1tbW0tbVxww03cM0111BZWUkoFGJqagqbzSZ5aIVXLQyiyOeazWbMZjPDw8N4vV6MRiOpVAqlUkk0GiUWiwFINiuDwUAymcRgMEjPwmw2y/CigKg2FgoxoVCIxcVFrFarFHMIhUKyglYYdbGoT0xM0NfXRzgclmHzjo4OlEolGzZsYGpqihMnThCJROjv72dgYID169dLb0W0L01NTREMBqW4wVJYrVbm5ubw+XxEIhGZf29oaMDlcrF3715isRiZTEaKT1yO3KHgdBYVwOPj45w8efKSx9br9fT09NDb28vMzAzBYJCDBw9K8pNLhaDAHBsbkxXiS0Ppr4SrrrqKUCjEsWPHSKVSpFIp5ufnSSQSl3QfLS0tFAoFent7CYfDDA8PMzw8LI83NzfjcDjYu3ev3KT5fD75DoR+tPiOnzp1ijNnzpx3HRFpEZzjyWTykozvUh5n0dcuOLOXFi2uX7+eQCDA7t27Wb9+/esml1rGnxZlj7mMPxqinUggFosxPz8vDY4oChOFVKtXr6a/vx+9Xs+qVaskg9XQ0BCHDx8GzvbumkwmUqkUk5OTNDU1SbKO6elpyQxlMBgIhUKYzWbe8pa3YLVa8fl89Pb2AshqW5vNJhe0RCLBwYMHZdGQEJNwuVxcddVVwNke3z179vC73/2ORCLBO9/5TllUs2bNGnbu3MlDDz0kIwHXX389GzduLAlL7tixgx//+Md85StfwWazceutt5Z4NG9961v5/ve/z1e/+lWsViu33HILPT09VFRUcNddd/GrX/2K++67T1aY79y5U4abRR77tcDpdHL99dfzm9/8hueeew6z2Ux3d7fcGABSzUdApVLJnLBKpWLnzp3Mzc3x7//+75jNZmpra2loaHhV7Up2u50dO3awa9cu9u7dS01NDXfeeSc2mw2tVntemH7pnNrb2/ngBz/Ik08+yeOPPw6c7cW+8847S9qRlkN9fT3vf//7eeKJJ3j++eex2Wx0d3dLnmqn0ynfwb333ivJXt7znvdQW1tLU1MT69at44EHHsBms1FRUcGqVavOm/NVV13FoUOH+MY3voHJZOKGG27g+uuvR6FQYDQaS56XiC6JcPYTTzzBiRMnmJ6eJh6Pc99991FVVcWtt96K3W4HoKqqira2Ng4fPsz69esv+dmXcWWjzPxVxmVHX18farWa/v5+MpkMVquVhoYGmpqaOH36NFdffTWHDx9Go9Gwbt06stksJ06cQKvVMjo6ik6no6qqCo/HQyAQYGZmBrvdjs/no7a2lkgkQiqVwuFwUCgUmJmZoaqqio0bN6LVaunt7WVkZAS73U5rayvDw8OSZ/jaa68lHo/z0ksvsWrVKg4dOkQmk0Gn02G326mpqWHXrl1MTk7y6U9/mlAoJHPQ5/YxBwIBotGoFLq4EM+x8JYFacfSPKyggRSherfbXbKwJ5NJfD6frHyvqKiQhikSiRCLxaQu76tFNpvF6/VKYQqheSsEMxYWFrBYLFKgIpVKsbi4SGVlpSxiSiaTsobA6XQSCARkL++lIpfLsbi4KEPKLpdLsp1ls1mpxZzP58+bk5CCDAaDMkdstVov+XkUCgV8Pp/USxaRnKW59UQigd/vl/lr0StdLBZJpVKyBsLlcpHNZikUCudtDGKxmCwKq6iowGw2k8/npX638HLj8TjBYJCqqipUKhVer1dGjATUajU1NTUyfJ/P53nwwQfx+Xx87nOfu+x5/jJeFcqUnGVcuRCydqIAS6PRyFYREc49fvw4LS0tcjGzWCwYjUby+bw0lKLYR4Q30+k0Wq1WUk0KmTbRi5+3lyIAACAASURBVCt6QQ0Gg7ymGCOTyUgqSY1Gg91ux2AwSHYpUXijVqt56KGHmJiY4Itf/OIbrpBmfn6e3//+97KI7VzY7Xbe9773XZBQ43Igm83y6KOPSj3hc6FSqXj7299eUgF9OVEsFjly5Aj79+9f9jMrV67kbW972xu6pSibzZJIJJiamuJ73/set912G5s2bXpD39NfAMqUnGVcuRC79gv11er1egqFAhs2bEClUsk8sdBWBUryZEsN43L5M9FuIzyppWMtva7FYpHXE8QkF6riXa5957XiXCKT5YhNLgeMRiM9PT2yIl1EFzweD3D2OYj3snQemUyGhYUFampq/ihheKVSSVtb27ItO4Jl7PVEZWUl69ate8Xjb3QIHm2/38/GjRtZu3Zt2Sj/BaHsMZdRxjkIBoNks1ncbvdlWezOnDmDy+WSXqoIIS+tuH69cPr0aWZnZ9mxY8d5xxYXF0mn09TV1REKhXjyySd53/veV5YWfAMgnU6zuLgo9cXL4hZXBMoecxlvHJwrtvDHjlUsFqVHvLTd6NyxRTWryAnm8/kSb/rcsQQupXgIzuYODx8+TCqVku1fXq+XEydOYDQa2bhxI36/n0ceeYSamho2btyIy+Xi8ccfJ5VKsX79ejZs2MDo6CiDg4N4PB7WrVvH7Ows4+PjJJNJ1q5dK0lSBLLZLEePHsXr9dLe3k5DQwOHDh2SedpNmzYRCAQ4duwYsVhMUlwuRSQS4YknniAWi7FhwwY6OjoIh8M8/fTTWCwWNm/eTDQa5ciRI6jVajZv3iwjEgL5fJ7jx48zPz9PU1MTK1euZGRkhOHhYTweD2vXrsXr9TI6OkoikWDNmjW4XC6OHTvG4uIibW1ttLe309fXx8zMDC0tLaxcuZKXX36ZcDhMKpVi06ZNZDIZjhw5glKpZPPmzcBZAZBUKkV1dTXd3d2X1VssFouy8v/VjJvNZpmfny8RJBHjid7715IamZ6eljzaAjqdrqTvvIy/LKjuueeeyz3mZR+wjDcuRIHT+Pi4FJPPZrPSUMbj8ZI2JaBEPD6dTpNMJqVQwuzsLCMjI9TU1ABnjcOePXsk9Wcmk5Hi9SMjI5w4cYKWlhbm5+d57LHHSkQEMpkMe/fuxeVyyfx3MplErVbLUHA+nyebzco5iPloNBpisRjPP/88W7du5fTp05jNZg4ePMjKlStJJBIsLCzQ2dnJ1NQUGzdupKGhAb1eTzgcxuPxcNVVV5FKpdi1axcrVqzg9OnT2O12vF4v09PTbN++HZvNdsHFXBBuHDt2jNbWVp555hm2bNnC6OgoJpOJY8eO0dzcTDabRaFQ0NraWnK+Wq2WzGobNmyQRnbr1q2MjY1hNBo5dOgQDodDimk0NjaWjJFKpXj++edpa2ujtraWfD7Ps88+y6ZNmxgeHpYtb6Ojo1xzzTU4HA5GR0cZGxuTjFuBQIB9+/axatUqDh48SFtbG0eOHMFgMLB27VrMZjN/+MMfsFqtpNNp/H4/drudF154ge3bt8tiNGFABTlLOByWxVyiSCwUChEMBikUCqjVahYWFohGo+j1egKBAKFQiFwuRzQa5dixY2i1WkwmU8lGLhqNMjs7SzgcRq1WEwwGCQaD6HQ6KajhcrlYXFwkEAjI7/GJEycIh8OYTKYSUp1MJsPc3JwkvvF6vQQCAUnmMjc3x9TUlGzzE/OIx+PMzc1RKBRIJBL4fD6i0SjpdJpAIEAsFiOZTKJQKJifn5cyneVw9+uKf71cA5U95jJed0xOTrJ//36uv/56pqenWVxcpKamhnw+TzKZpKqqqqTVY2Jigt7eXnp6ehgbG0OpVFJXV0csFpPqOQLFYpHBwUFCoRCtra0UCgVOnjzJli1b8Hg8DA0NUSwWGRoakrq4Avl8XnpnnZ2dTExMkM/naWlpYXZ2lrq6OrLZLGNjY1itVnp6eti3bx9Go5Ft27YBYLFYqKqqwmKxEIvFpJgBwMjICFqtFq1WK+kZ4WyeV5CFxONx/H4/4+PjctFWqVRUV1dLwYpzEQqFOHr0qNwcFItFnE4n1dXVkutbeJNCcehcCKKMXC6HwWAgnU7jdDqpqanhzJkzsgpb6DRfKBev1+vZvn07J0+eJBQK0d3djUqlorKyUrap6fV6qqurZc5ZtKWJNIFoqxsfH5csWFqtlpqaGunpLy4ukkwm0ev1MlfudDrxeDznhXDn5uYIhUI0NjZK5Sin08nk5CR+v5/W1lb6+/txu914vV5ZGCg0j81ms4zwiNYlgUKhwPDwMEajEZ/Ph06nY2hoSLbRKZVKFhcX6ezsZGBgAKfTSTgcpq2tDUAWJS6F+BuYmZkhnU4zMjJCc3Mzg4ODaDQadDodqVSqJOok+qbF5tNgMJDJZNBqtcTjcfk+LRaLpA0dHR1l48aNy2qDl3FloUwwUsbrCoVCQWVlJW1tbdTX1xMKhYjFYoyNjRGPx+ns7GRmZkZ+Pp/PSyM1NzdHsVikp6dHehKdnZ3nLW4VFRV0dXXh9XqZmJhAr9fj8/lKKrqbmppYsWLFebzSYm7z8/OSctHr9RIOh6XHUywWWbduHXa7nYaGBllQBWfzxXv37iUQCFBTU0NtbS379u3jpZdekl6qxWKhr69PMmuZzWbGx8cZGRmRPNtms5nq6mopH/lKBVjCKzQYDCXV5MI4KJVKqqurOXDgAC+//PKyXpLZbGZyclISawjPXIwhxBRcLpeMUCyF8GAtFguhUAiLxYLBYGDPnj0ypCv6fwUaGhqYnJxk3759jIyM4Ha7aWxsxGKxUFdXJ3t7l0ZQVq1ahdFoxOl0yrz8K4WEPR4PHo+nJIUhqvXFfQQCAbmJMJvNcjNgs9kwGo1SynPpsxP3EggEqKurQ6FQ4HA4JK2ryWSS89LpdNTW1mI0GqXIit1uL/Hui8UiPp+PeDwuuxgcDofctMbjcfmdWAoh2WkwGKirq0On01FRUYHdbqdQKGC32yWd6fT0tKRRvVTyljL+/CiHsst43aFUKqX0oehRdjqd1NfXMzo6SkdHBxqNhmQySS6Xk2xXdXV12Gw22UPscDiYnZ3F7XZL8hGhFFVZWSkXYjhrAPx+P/Pz81RWVkov1W63S8MqZArFeCqVCr/fz6pVq4jFYoTDYerr6zEajVRWVqJUKpmcnJQSgPl8ntnZWbq7u+np6ZEGTK/X09TURGNjozSSOp1Ocls7HA7ZrmWz2aQesfi91WqVPc3pdJr+/n6mpqaYnZ2V91NXV4fT6aS7uxu73S69dqfTKZ+twWCgra1NesFLxzAajVRVVcl5LB1DKHM1NDRgNpsxmUzYbDaGhoZKxjCbzeh0OiwWC6tXr8ZkMlFfX49Go6GrqwuPx4PZbC7pz7ZYLNTU1MjeZ7vdTl1dHSqVCpfLhdlsxul0UlFRITdgwngKqlLxPkwm03mbDiEoYbVayefzzMzMlISd0+k0SqWS2tpa6V06HA5CoZDsH4azbWe5XK6kL1qMVygUZG95LpfD5XLJsPPc3Bw2m41YLIbT6SQWi2GxWCgWiywuLmKxWEq6FQKBgFRpE4bV6XQSDAax2Wx4vV4ikYi8X/i/KnpBsAPI/HUymZRkOhqNhlQqJVMwtbW15T7n1xeXLZRdrsou48+OVCpFf3+/lIbs7Ox8RQnDRCJBf38/2WwWq9VKR0fHJRfVRCIRBgYG5ALY2tr6mgg64GxIef/+/ezYseNVSS6+GoiCIpHzViqVVFZWvirWr1wux9zcXMkYHo/nVbWEXY4x/hTIZDIoFAo0Gg2FQoF4PC6LA/v6+ujo6MBqtaLVaiVNrMVikb3zSqVSFn8JHnhB8lEsFgkEArS2tjIxMUFPT49MVQiu7Ww2KzeBWq2WXC4njb243sLCAnDWwLrdbtRqtey5LxQKaLVa2W8fj8dRKpXSgAPSu89kMlKEZKmUpFqtlvcsiFA0Gg16vf6PaoUr46IoE4yUUcafG4VCQS7o5aKaKwvFYpFsNotKpZLiKdlsVjJ3iXdXKBSwWq3SCxb81HB28yEETEROXvBdW61WyZMdCoWwWq2S+1uMBcgCNIVCIaM8mUyGdDqNTqdDpVKh0+kkpzwgueKFIIcg0RGhaCGb+Vo3lGW8bii3S5Xx5sLs7CwDAwNs2bLlNXNEC+RyOQ4fPozD4aCzs/M1G1WlUnnJPb/ZbFbqT7e0tLzuhtzv93Ps2DE2bdq0LMvX+Pg4R44cAaCzs5NVq1ZdtutnMhkOHDhAU1MTDQ0Nr+l+E4kEL774ouQ6v+aaa0refTqd5sUXXyQUCmEymbj22mtlkdrSWoV8Pk80GkWtVksltEwmI0U8LBYLiUSCwcFBHA6H9ICVSqUMfcdiMYxGo8yBC8pZUaC2sLAgz41EIoyNjUlN7lQqhdPplDzvqVQKg8GA0+mUwi1erxeHw4FOp8Pr9aLX60uiEbW1teXN35sIZcNcxhsCAwMDfP/736enp+eSDXMul2NoaIjm5uaSc7LZLL/4xS/o6emRFbWvN1KpFD/5yU+47rrraGlpuWzjBgIBAoGArPwVmJ6e5r//+79pbW1d1jBns1kCgQBPPPEEb3nLWy6rYU4mk/zwhz/k5ptvpqGh4TWNIdqTjhw5wvDwMGvXri15jyJ8/NJLL3H06FFWrVolDbNSqZQFUCIfrFQqZVg3k8nIqvRAIECxWJSheVGpXigUZIhZaDWrVCopY2qz2bDb7XI8UcyVz+dxOBxYLBaUSqVs31tcXMRsNpeIV4hK/IqKChwOh6SQFYY5HA5Lr7mMNw/KhrmMv1gEAgEeeOABvvCFL/zRXvaViGKxyP79+xkbG+PTn/70qz6/vb2dtra2ErnDKwkmk4lbbrmFqqoqvvnNb553XK/X8973vpfm5mb6+vpKjolc/FKInOu5/8/n81JR6lza1AudK35uamqSn9fr9XIsQfcqjtnt9pJjS0PQ4pi4drFYpKamRv4s2sfKeHOhbJjLuOwQFaj9/f14vV50Oh1dXV00NzejUqmIRCIcPXqU9vZ2BgcHCQaD1NfXs2bNGhkazmaznD59mpGREZxOpyx8uRRks1lOnjzJgQMHeOmll/jtb3+LzWajurpa9h+Lzx05coTJyUmsVivr16+X7VTFYpFgMMiJEyfw+/3U1NSwdu3a83pbL/YMhF7wueQccDZU29fXx/T0NDabjXXr1skFWqhm9ff3yxzm6tWrqa6uRqFQyLF/+9vfUiwW+elPf4pKpWLDhg0lZCI+n4+hoSFisRitra309PSUtJstdy9jY2OSGERU8sbjcfbs2cOaNWtkr/bFkEql2L9/P7Ozs7hcLtavXy89+GQyyeDgIGNjY+Tzeerr61m9enXJJupCjG5LcbHjgUCAkydPEggEqK6uZvXq1VL/OxgMsmHDBgKBAPv372fz5s1UVlZy7NgxTCYTK1asIBKJcPLkSebm5tBqtTQ1NdHV1XWesRTzuFDe95WOiePL/VymR31zomyYy7jsyOfz7N69m0OHDuHxeJifn+dnP/sZ99xzD52dnQQCAf7rv/6Luro6LBYL+XyeH//4x9x5553cfPPNKBQKnnvuOb7//e/T0dGBSqVienpaFtRcDLlcjqmpKRYWFkgmkwSDQXK5nOwpFdizZw+jo6NYrVZOnz7N/v37+ad/+ieZ87v//vtJJBJ4PB6efPJJVq9ezSc+8YlLWiyDwSBf+9rXCIVCNDU18cILLzA+Ps51110HnDVYDzzwAH19fTQ2NjI/P8/u3bv5/Oc/T1VVFel0ml/+8pfMzc1ht9sZGxvj0Ucf5Z577sHj8RCJRJiamiIQCKDX6/H7/bItRiAWi/Hggw/idrtJJBI89NBDfOYzn+H666+/6PwTiQTf+973qK2tZeXKlQCcOnWKH/zgB9x7772X9B4Adu3aJVucXn75ZbZv387f//3fo9PpGB0d5Qc/+IFsE/rpT3/K+9//fj784Q9flsImr9fL17/+dRKJBNXV1ezevZuWlhY++clPMjY2xlNPPcXq1as5duwY999/P1/4whd45zvfycMPP8y1115Lc3Mz3//+9+nv76e5uZl4PM7hw4f53Oc+t6xIRxllXA6UDXMZlx0qlYqbbrqJm2++GZ1ORygU4otf/CJHjx6ls7MTOLvwt7a28rGPfQylUsl3v/tdnn76ad71rneRyWR4+OGHedvb3sYdd9xBPp/nP//zPzl48OAlXV+v13PzzTdTW1vLqVOn+MhHPiI9TYVCIclBtFotn//853E6nRw+fJivfe1rzM7O0tzczBNPPEE8HufLX/4ydrudgYEB/vVf/5Vrr72Wq6666qJz2L9/PzMzM3zlK1+htraW06dP8/nPf14eP378OAcOHOCee+6hqakJv9/PF7/4RZ599lluvfVW9Ho9d911l5S/HBsb40tf+hJDQ0N4PB5aWlpoampidHSUiooK7r77boDzqE23bNnCLbfcQqFQ4N577+WZZ57h2muvvWjbTFtbG42NjTz//PN0dHRQLBbZu3cvK1asuCDZyHKw2Wx86Utfwmg08vTTT/PAAw/woQ99iOrqatrb27nnnntkkdOPf/xj9uzZw0033XQeL/erRbFY5PHHHycajXLPPfdQUVHB5OQk//Iv/8KBAwdobGwkEokQDocZGxujp6eHoaEhtm7dSjgcpqGhgVgsxokTJ3jf+97Hzp07Zf9wmT2rjNcbZcNcxuuGgYEBZmZmiMVi8p+AwWBg48aNclFuaGigr69PFiQtLCxw9dVXYzAYKBaLrFmzhuPHj1/SdYUBFmHB5Zi01q1bJxmihPi8IHs4evQo6XSaJ554AoVCQSKRIB6Pc+bMmUsyzKdPn6a+vp6GhgZUKhVNTU0l4gZ9fX3EYjH27dvHgQMHyOVyJJNJhoaGyOVysghIiFWEQiHJIS7ucWku80L3Z7PZWL9+vfTwGxoaOHXqlMx1vhK0Wi1ve9vb+MlPfsJf/dVfAXDixAnuuuuuV5Xz3LhxoxRfEKILyWQSQFJYjo6OEolEmJyclCQzfyxyuRx9fX2sWrWKyspKFAoFjY2NtLa2cvToUa666iq0Wi0zMzOSl/zYsWPMzs5SKBTweDxYrVa2b9/Oww8/zMTEBNdddx1dXV3lXuAyXneUDXMZlx2hUIhvfOMbhMNhSad4bh5QpVKVkOov9fQKhYIkWgAkYcTl7ttcOi9h4ITilGAGCwaD8vM7d+48r/p5OWQymZI5C8IJgVQqRT6fJxgMyjls3ryZrq4ulEolExMTfOMb38BkMslw/quFWq1Gr9eX3COcX9h0ISgUCtauXctDDz3EiRMn0Gg0qNXqV63ktJStaun1c7kcjz76KI899hirV6+WzGqXC6KXeOkzF+8glUphNpux2WyMjIwQj8dZtWoVvb29vPzyy5J9TaPRcMcdd7Bq1SqeffZZvv71r7Nhwwb+5m/+5o/26Mso45VQNsxlXHaMjo5y9OhRvv71r9PZ2UksFuOFF14473PLLfAmkwmTycTU1BRdXV0Ui0UWFhbIZDKvah6CxWk5juDlri883Ewmw9/+7d/K4qcLSUQuh5qaGnp7e4nFYpjNZuLxOD6fTx5vbGzE6XRyxx13SC5kUYWrUqno7e1lcXGRL3/5yzidTqanp/n9739/wXsUxBiXu6XG6XSyZcsWnnvuOTQaDRs3bryghORrQSKR4He/+x3XX389t99+O2q1mp/+9KeMjY1dlvE1Gg21tbVMTk5KEphYLMbMzAybN29Gp9PR2NjI8ePHcTgcNDQ0YLFYOHLkCG1tbZI9S6/Xs2XLFjZs2MCJEye49957ueaaa7j66qsvyzzLKONCKBvmMi47hCd84sQJkskkx44dY2pqig0bNlzS+U6nk02bNvHLX/4SjUZDNpu9oGG/GIQIwZNPPsnatWsl3efFoFarefe7382//du/8cMf/pDu7m5SqRQ+n4+dO3deknHaunUrTz75JA899BCrV6/m6NGjBAKBkuO7d+/m29/+Ntu3bwfOKiNdffXVdHZ2YrVaSSQSHD9+HLvdzosvvkgkEjnvOk1NTTz77LM899xzmM1mGhsbz2sTuhCE6lQ8HicajRIIBBgbG8NsNuNyueQG4brrruPZZ5+lUCjw4Q9/+LKFcVUqFXa7neHhYV566SW8Xm/JOxY9yoFAgNnZWVKpFOPj42QyGdxuN1qtVsodTk1NkU6nmZiYAMDlcmEwGHjXu97F1772NX7605+yYsUKDh8+TDwe59prrwXOtos9/vjj3HjjjZhMJpqbm/nZz37GDTfcIGkwd+3aRU1NDWazmf7+frRa7bJ94WWUcblQFrEo47LDarViNBo5ePAg/f39NDQ00N3djcvlorOzk2QyycjISIkHJrRxt27dik6no62tDb/fz759+4hGo7Ka+dUwf5nNZqxWK729vZw8eRKVSsXKlStRKBSMjIxQW1srmb/EnK6++mopSyj6Yw8ePMjY2BgOh4M1a9ZckhCA3W6nurqaQ4cOcerUKVpbW2lsbKSxsZGWlhZMJhNdXV2Mj49z4MABBgYGUKlUrF27FpvNhsfjIZvNsnfvXs6cOcPq1aupqamhpaVF5mrhrGfu9Xo5cOAAY2NjtLa24vF4iEajTE5OsnXrVmlIhNLQpk2byGQyPPjggzz11FPE43FisRjHjh3D6/Wydu1aaYDNZjNHjhzBYrHwgQ984JI5yXO5HIODg6xYsYLGxkYUCgXRaJSJiQm2bduGw+HA4/Fw+vRpjhw5QjqdZtu2beTzebZs2YJCoWD//v386Ec/4vjx42g0Gk6dOkVvby/d3d04HA6OHz/O//zP/9Df349arWZ4eJjjx4/T3NyM2+3G5XJRX1/PkSNHOHz4MBqNhjvvvJOOjg5J2nH69Gne/va3S4nPyclJdu7cidvtJpvNcvDgQfbt28ehQ4dIpVLceuutrF69WuolX0oEpVgskk6nZU1AGX+xKItYlHHlQvANC8EDjUYjc7eCqF/ox4qFTXABC1k8EYIWfMdqtVr+HIvFStqelkKpVGI2m6UBEdcqFouS8B/O5oCVSqUUABCfE3rI4j5yuRy5XE5KK6pUKuLx+CuG1Y1GI3q9Xj4Dcd/5fF4Wop17j0CJIMHSY4JkYun5S5/10jmKZ3qhZ5zNZkty9+l0+rznqFKpSqQJ/X4/X/rSl7jpppt417vehUKhkBSXF3sHYr6xWEzyO/v9fhwOB9lslsXFRaxWq2Tmyufzsr3M7/djMpmkx9zc3MzMzIyUOkylUiWUlel0mng8jl6vR6vVolaryeVyUgxCfAesVivJZFIW+kWjURobG+XzDYfDsvI6l8tRKBRQq9WEQiGcTqfksdZqtczOzlJfXy/z+LlcjnA4LMUr8vk8ZrNZev4tLS2XvLEp4w2JMld2GVcuRBh0ubDnhTimlxpNMca5v9PpdCwuLvKtb32rJF+7FBaLhU9/+tOyAno5Putzvd4LfU4UnS0l5Mhmszz88MP09vZe8PoqlYr3vve97NixA6VSWXKdc5/Hhe7xlY4tR15x7hyXu59zP/NK/dgLCwucOXOGvXv3olKp2LRpkzTWPp+Pb33rWyWh+aWw2Wx89rOfpbq6mmw2i9frpaamhnQ6LaUXhVEXdJUGg4FsNisFQRKJhOSmdrvdUprR5XIxNzdHIpGgqqpKhu2j0ajMCft8PpRKJclkUopKCK5sYaxFy5cQkhDPTMh9KhQKwuGwrNYXGyyfz4darZabi6XvNJ1Os7i4KD1pvV5POByWQhpllHGpKBvmMi4L0uk0hw4dYtOmTRdtpxGKPOcK0WcyGXp7e9m4ceOy4WKHw8Hdd9+9bEuN0PW9FAgZPxFOj8ViUh5vOajVam688UZuuOGGCx5XKBSyPehcTE5OAlBfX3/FhzSnp6d55JFHMBqN3H333ZIRDaCiooJPfepTl/QOFAoFVqsVk8kkDaZeryebzZLNZjGZTMRiMRKJhPR6k8kk6XS6RMtYrVbLFIkwkksJY7RaLQaDQUYqhPxjKpXCbrdLRSkRzdDpdJjNZhYXFyUl51J6Tvi/lEw8HiedTpNOp7Hb7dL7F3rZolBMeOUGg6HkeCKRKIlClFHGxVAOZZdxWZBIJHjggQdYu3YtjY2NuN1uhoaGUCgUdHZ2Mjs7i9frpampiVAoxKOPPsqOHTvo7u6WhjyZTPLAAw+wZs0aampqqKysZGhoCJVKxYoVK5iamiIej2O1WjGbzXi9XjKZDC6XC71ej8lkwuv1ypwmnFWlmpubQ6lUsnLlSubm5vB6vbS1tREMBnnkkUfYsWMHjY2NPProo9jtdrZt24ZCoeDMmTNUVVVRUVHB1NQUyWSS9vZ2mbPN5XKMjIxIWUDB4JVIJGhpaSEYDNLc3CwpP0+cOCFzzNPT08zNzdHY2IjH47niFu18Pk8ulysJ978WiBSGOH+pvKGocn+l3y297rnjZLNZ2ddtNptlREBcMxKJoNVqMRqN8nfnRh2EERe91WJT4HK5MJvNF5z30rnm83lisZg0yEsN8LnnXow+tIw3PMqh7DKuPMTjcRQKBbt375biCELP9vTp01LuUIQPXS7XeQtlNBpFoVDwzDPPcNNNNxGJROjr68NoNLJ7925JCjI4OMj4+DibNm2SDE2NjY34/f4SXuoTJ04QDodRq9UEAgFmZmZobW3lmWeeYcOGDahUKtxut9S3raioQKPR8Oijj6LT6Thw4ABvectb2LNnD29961vPC13u27dPhl1HRkbIZrN4PB4OHDhAKBTCaDSyZ88e3vOe95BIJFhYWMDlcvHYY49ht9vp6+vjjjvuuKSCsj8lXikV8WpwrjG60JiX+rtzxxEayct9TrShnXvuudcxGAwXLShcbj5KpbLkOpd6bhllvBLKSttlXDbY7XYpHTg5OYlWq6Wrq4u6ujq2bNnCzMwMk5OT2O12KioqqK2tPW/R8ng8rFu3Fb1sswAAIABJREFUDrVazenTpwkGgzJfaDQa6e7ulgIK7e3ttLe309zcTCKRoL+/n/b29pLxRE9yY2Mj4+PjGI1Gurq6pDF1OBzU1tZiNBpxOp3U1NSg1+tZWFigoqKC9evXo1KpqKurY+XKlefRMVosFurr6/F4PCwsLFBdXU1nZyfRaJS6ujoOHDiAy+XCZrNRUVEh7yUSiVBZWcmaNWuuGMH7QqFAIBAgGAwuW9i13HnCexS53otBSDoKmUQRKr6U85YbX8xD/Cw82TLKeKPhylgRLhMEpeFyf+DFYpFkMnke2cOlIBAIlFBKCmQyGRYWFl7VWGIer2bxu9KhUChIp9M8++yzWK1WNmzYIAtvdDodkUgEg8EgK2dVKhWHDh2SFcliDBE+FLq46XRaFjiZTCZpyLVarfQydTodVVVVJJPJ88LC2WyWY8eOMTAwwJYtWygWizz//PPU1tZis9nQarX09vaSzWZxu92cOHGCUCjEmjVrSCaT6HQ6WYR0rtelUCikt2UwGGhvb2dubo6DBw/S1tZGe3s7Y2NjtLe3E4lEpGJTPp+nra1NVhZfCZW6wij39/fL72YikZB5UxHuFfldOPs9zmazjI6OEgqFiMfjMrQvSE9EaHipgRQ9yi+//DKhUEgyoAmjns1mSaVSskgsmUxKprTp6Wnm5+fPm0cul+PMmTMEg0Fp6BcWFkrmLsbIZDIkEom/qL+/Mv6y8BeTYy4UChw/flwKqkciESoqKggGg7S3t2O324lEIjz99NPU1dUxMTHBihUryOVy6PV6yQ6kVqsJh8N0dXVhNBoZGhoiEong9/vJZrO0tLQQj8dxu90yX/rUU0+xYsUKjEYjoVAIm82GwWAgHA4Tj8fRarXE43FcLheRSASbzcbLL7/M1Vdf/ZpF5K80FAoFwuEwqVQKq9WKwWAgEAjIHHA4HCabzeJyudBoNEQiERKJBDMzM3i9XuBsm9HKlStxu91Eo1F0Op1UTzKZTKTTacxms/Q6hSxeOBxm7969VFdXU1tby/Hjx2Vl7OzsLE1NTaxatQqn00kikSASiZTMI5lM4na7yefz+Hw+WSzk8/nQ6/VYLBbZQnPmzBkGBweBs4VgHR0dkpBDqVRKgyJ+FwwGsdvtZLNZ/H6/1N6Fs5s9q9WKxWL5s+ceRb58dnaW7u5uOV+lUkljYyODg4NYLBY8Ho8s2hNe76FDh6ipqcHj8XDy5EmZ87fZbCwuLlIsFmltbZXRhmKxyPT0tIxw1NTUMDg4KKMXp06dkiFitVrN3NwcVqtVjq/Vamlra8Nms8l5xGIxDh06RGVlJS0tLbKPe82aNQwMDBCLxdBqtbLHu1AoYLfbqaur+7M/+zL+YvDmyjHn83meeuop+vr6uP3220vEAAQUCgV2u53m5ma8Xi8qlYqXXnqJ9vZ2zGYzgPS6bDYbbrebgYEB7HY7arVaFpMEg0FZyGM0GhkfH2dsbIxCocC6des4ePAgPT09DA8P09TUBJwN4S4uLpJIJAiFQng8HhKJhPT49Ho9tbW17N+/n1WrVjExMSHJLwQvdDablWLr5/I2i/sTx0TYUJAk5HI5stms9OqEJxCJRNDpdGQyGbn4L/UyRAh16e/PxdL5vBIulGtbWh19rkyezWbDarVitVppamoikUhgMplQq9VkMhkZhlSpVCWFO8KbMpvNsg1F6CXX1dVhMBgkOUlHR4es+C0UCgwODuLxeHC5XKRSKdRqtdxExWIxkskksVgMp9OJ3+/HbrczNTVFLpeTTFwul0t665lMRkoWhsNhcrkctbW18vuUTqell69Wq0uIQYCSPlw4m6P/5S9/SSaT4bbbbvuT8DGPjIzw61//mg0bNrB+/XpyuRxut5uTJ0/S2trK/Py8DG23traWFIIpFApMJhNOp5OmpiYKhQJWq5XW1lYGBgZkO5XwnJfyZrvdbnw+H7W1tWi1WhwOB/l8Xnq4bW1tWK1WKdkp8skulwu73Y7dbpf3ICIsTqeT5uZmGYWYnp6W32uLxYJarWZhYYFwOIzNZiMcDlNbW1s2zGVccXhDGOZCocDo6CgHDhzgxhtvvOBnFAoFDodDtijMzc2xcuVKXC6XDMsplUo8Hg+FQoHm5mZcLldJaDWRSFBfX08qlUKj0cj/C4+nvr4ejUZDOp2moaGBRCJBsVikpaWFfD7P/Pw8FRUV1NTU4PP5cLvdLCwsYDabsdvt6PV6kskknZ2dMnSXz+eZnZ0lGo3idrtlj2VFRQU+n49oNEomk0Gv1xONRmW7BpylvlxcXMRisZBIJGhrayOTyTA8PIzJZGJycpKqqiqi0ShGoxGDwSAJJqLRKGazGb1ej9vtxuv1sri4CCB7SU0mE4uLi7S3t8vimFwuJ0OwF8uNihBjJpNZNhQsSCROnTqF3W6XHrcwrNPT09jtdnw+H36/n+bmZrLZLOvWrUOlUkkhe6fTyaFDh6ioqCAUCqHRaLBardhsNg4cOEAqlWJhYYHx8XEMBgMLCwvs2LEDp9PJxMQEZ86cQaPREAqFyGQykphCRFDGx8flhkBsIsLhsNwkCeMzPz/P2NgYnZ2deL3eEnWniyGbzXLy5ElSqRS33HLLJZ3zSsjn8ySTSQwGw7IFSIFAQObB169fL9+LkOtMpVJYLBa5ubjQO1QqlTJVIQhaFAoFFosFg8GA3W5ftoUM/u87JSrBVSoVGo1GRkSqq6uZnJz8/9r70ti4rvPsZ5Y7+74vXERSpCiSomRRlC1bluTI8lovjREbKJA0C7olTdqmbhoUCJqvP/KjKJAAKdqmgJM2TRrZ8RpZlmzZki1FG3eJIkWJFCmuM8PZ95k72/dDPa9nyKFEmbIt2fcBjETknXPPPXN53vNuzwOz2QypVEp/B+VteWwejOCDRS4ymQz11TNiEJPJhLq6ugoRFQECbifcEYZ5tSjnMG5sbARwzThEo1GkUikoFAps2bLlhgalWCwiGAwilUqhpqamom3C7XaT+hDzrhsaGiCVStHa2rrs/g0NDfSzco+JVQ5Ho1EUi0UoFAokk0l4PB6o1Wra7GZnZ5HJZGAymRAMBilnWywWKW/Z2NiIdDpNrEWzs7NoamqCw+GAXq+HQqHA+Pg4TCYTSqUSHA4H9RKzzSocDmNqaopCtwaDAfl8HvPz8xXPMDw8jJMnT+JrX/vaqnRpz549i9HRUXzlK19Z0UDlcjmk02kK8UqlUjpA2Ww2ijrYbDao1WoYDAYKXwYCAZJJdLvdFElQKpVIpVJUdZ1Op4nwIp1OU6iZyVFmMpmKAq1EIoFgMIhYLFaxebPeV41GQ95doVCAyWSCw+FANpuFXq+H0WhEqVSCzWa74Rp9XJiZmcErr7yCr3zlK6uah0KhgMPhAHCNg9vr9cJisdBaAddqKsoLvNRqNerq6hAOh6FWq4mQo6amBlqtFj6fD8lkEmKxmEg2xGIxXSuRSIhFTSwWg+d5GgMAyWHW1dXR/DweD+LxOABUzKO2thbhcBi5XA7JZBIGgwHJZBJ2u50OCyzdwA5vAgTcjvhMGeZqYCHu8tDXjSAWi5eFXpeOuZoWi9VAq9Vi48aNdFhoa2tDPp9HMpmEy+WCw+FAIpEgo7q077OpqYnIE5LJJDiOwwMPPEAFRew6h8NBn2XGCgD1YdbU1FA7E1sDkUgEu91e0R/a29uLycnJVWnmFotFnD59GrFY7LrMR1qtFl1dXXC73eQxsfuxDZ39L/Pa/H4/YrEYjEYjHn/8cfKwAFBo3+fzQSKRoK6ujrwmNm4+n0ckEiEmp23btlUUjjU2NpI61dIe2/r6emKR8ng8FBFh1+VyOXAc96nWD5RKJYyOjmJkZGTVqlwKhYIOTyqVig6XAMhgl1Ocss8YjUZKY7DwO2PkamhooMMxmwdrdWLXsMI5lrIoPwizHDyDUqlEU1MTstksQqHQivNQqVRUvc/mXZ4islqt9I6XrxnD0p+Xp1NWm94RIOCj4o40zPl8HvF4HLlcDlKplPJHS/9QGHl8KpUi+jylUlk1rFoqlag1R6/XU7sFy0Wq1WoK8QLX/tDD4TA4joNWqyUDx5iANBoNhdpisRh5UtWoINlYKpWKPsfyj4zh6HqbAM/ziEQi0Ol0kMvlSCaTiMViEIvF0Gq14DhuGRsXy90yA8vysKy4ioFxCGcyGQSDQVy8eBE8z8Pv91cI3huNRjLgLITq8/kwPj4Og8GAxcVFOshIJBIq7AEqc9HMIwNA3xW7rvyAoFKpwHEcbcSMMYrlGzUaDdUWAMv7WKVSKRwOBxmcpddIJBJiomKHBbVaDZlMRvOQSqWor69HOBxGOp2mIrFUKoVCoQCFQrFsPRlY1IXxSK8m+rAasNx2NBqlsDg7fLBnZFGUanNKJpNIpVJUIV+u5wyAQsvsb4vl8BmT1kr9vuxwzKquGZ96OQ95LpdDLBaDVqulvxMW2VGr1RSdYN+D2Wyu4B5nz1DOT85IUpLJJIAP9aEXFxepADCXy5HBjcfjFfsJ+xvx+Xxk/JPJJDQaDYrFIh0aWf0D41MXIGAtuKMMs1gsRjgcxq9+9SsMDAwgHo9DrVajs7MTTz31VIXHk8lkcPLkSZw9exZzc3NEi+dwOLBnzx7cf//9yziQf/azn0GhUODLX/4yjh07hlOnTiEcDkOhUKCzsxNf/epXyWCm02n85Cc/QW1tLb74xS/i8OHD6O3tRTQahVKpxN133006s8eOHcOBAwfwla98Bbt27Vp2Gj9+/DhefPFFPPvss3jooYcqnnk1p/IrV67gpz/9Kan/vP322/B4PJDJZGhvb8fTTz+9rMgll8uht7cXR48exezsLHK5HOnv7tu3r8JrOXnyJI4cOUIsWiKRCP/4j/9IBker1eL5558nD+udd97B8ePH4fF44PP54PF48IMf/IDGs1gs+N73vlfh0eRyOZw+fRpHjx7FwsICisUi7HY77rvvPjzwwAMVhVIikQivvvoqJiYm8J3vfAfnz5/Hu+++Sx5yc3MzvvGNb1yXmvN665pMJvHBBx9gYGAA8/Pz1Dbldruxb98+dHd3k6FLJpP0HuzatQsHDx7E+Pg4stkszGYzdu7ciX379lUcrorFIkZGRnDgwAHSH25qalpGYPJRMDIygtdffx1zc3NYWFhALpfDP//zP9O4crkcf/Inf4K77767Yi0KhQLef/99HDlyBF6vF2KxGOvWrcMf/MEfYNOmTRXRhkKhgPPnz+PIkSOYnJwEz/MwmUzYvn07HnrooYrowVKwQyjP89DpdIjFYnSQZQfb8gMVu55FKFiRnkajQSgUgkQigcPhoO8jnU5TCxYTrGDvKcs5WywWijKxlAWTc4xEItSdwZDL5YiOk6WQVCoVzUWv1yOTySAej0OpVH6q6QsBnw3cUYY5n89j//79AID29nbI5XKMjo7iwIEDCIfD+Pa3v00beDabxZEjR5BKpdDc3Ayz2YxwOIz+/n78+7//OziOw86dOytO2uFwGIlEAr/61a9w6dIlok9cXFysCIUCH+ahk8kkfvGLX2Bqagrr1q2jSlZ2ihaJRGhra8P+/ftx7NgxdHd3VxiZVCqFEydOIJvNoqWl5SOFx5hQwGuvvUatKayH9r333sPs7Cy++93vUuiwUCjg0KFD+NWvfgWTyYQtW7ZAoVDgypUrJFb/jW98g9pRbDYbduzYgXg8jjfeeAMymQxPPPEEeV2soIbB5XJh586diEQiePXVV2GxWPDII4+Q165UKivCk7lcDq+99hpeffVV1NTUYPv27RCLxRgdHcULL7wAr9eLL3/5yxVeP8uvv/baaxgcHITb7UZXVxfC4TB5Sx8V8Xgc77zzDgBg48aNMBqN8Pv96O3txdjYGJ5//nncddddVAEfCoUwNzeHc+fOQafTYfv27chms+jv78fPf/5zlEolPPXUU+SBjY6O4sc//jFSqRS2b99OBWgvvPAC4vH4mvR+DQYDtm3bhk2bNuHgwYMIhUJ47LHHKLIgkUiWdTWUSiX09/ejt7cX69evR2trKzweD3p6ejA1NYXvf//7WL9+Pc3/+PHjeOGFF6DT6bBlyxYolUpcuXIFL730Eq5cuYJvfvOb9O4sRTabRaFQoEIvxnfNIlNLuwOYwIVCoUAqlaKoRDqdhkQiqRqRYNEpFrVgtQYqlYp6o9l/2WwWMpmMIlWM55pBJLqm2KVWqytSV6zgjxVVRqNR6nkXIGCtuKMMM9M0ff7556mQKhgM4kc/+hEGBwcxNzeHlpYWANdyU9/5zneg0WioVahYLOLUqVP4l3/5lxUFF6ampmAwGPD973+fxAYY4X41cYaxsTGYTCb84Ac/gN1uh0gkopAb2zDq6uqwZcsW9PX1Uf8027SuXr2Ky5cv46677lrWTnMzKJVK8Hq9+Lu/+zt0dXVRr+8vf/lLHDhwAMePH8czzzwDsViMq1ev4uWXX4bL5cJ3v/tdes50Oo1f//rXeOONN9DU1IQnn3wSIpEIra2taG1tRSAQwNGjR6FSqfDggw+uWGm7efNmbN68GfPz8zh8+DBsNhseeuihquHaUqmES5cu4bXXXsOmTZvwrW99i+oBwuEwfvKTn+Dw4cPo7u5GZ2dnxWeDwSDOnz+Pb37zm2hra4NUKqUw+lo2SKvViueffx4GgwFqtZo8ynfeeQc//elP0d/fj87OzgqvamFhAY8++ii+8Y1vkPDC8PAwfvSjH+HEiRP0/NlsFgcOHIDf78df/uVfkgpVNpvFiy++iBdffHFNhrm2tha1tbVIpVLo7e1FOp3Gnj17rvtuMdWkb33rW9i1axeFlffv349f//rXGBgYQFNTE0QiEXw+H/bv3w+LxYK//du/pXcnlUrhF7/4Bd566y10dXUti/wwMCUsZgQBkLQi6zVmYX4W4maV8IyHWiqVUmcBaxdkOWQm3ck83EQiQcabhaCZ8c/lctBqtVTgJ5VKIZfLKULCxmSpLDY+K1IrD/Ozewl5ZwG3AncU85dYLKZNhhVfmM1mtLS0UDEIg0gkgsvlok2SnXDXrVtHPYzVCpikUikee+wx1NXVkcfLTszV/ugUCgWeeOIJOJ1Oup6dnNn1crkcO3fuRD6fx+nTp2ljKBQK6O/vRzqdxr333rvmKtF1/0ekwQ4ESqUSu3fvhlKpxPDwMDKZDEqlEoaGhhAOh7Fnz54KpSOFQoEHH3wQGo0Gp06dohzyx4lisYiBgQEkEgns2bMHWq2WvBmdToeuri6k02kMDw8v86bEYjF2796Njo4OMpIreVE3A0bBqVar6d0BQCQZ1SgrdTodrR1w7f1bt24dnE4nEc0A1w4bly5dosgAy48qFArcf//9N1WkeCuxYcMGbN++ndZRKpVi06ZNkMlkWFxcpOcdGRmB1+vFjh074HK5KM8ql8uxbds2cByHgYGBFfviOY6D1WqFxWIhRjWWy7ZYLFSZn8lkkE6nKSRtMBjIO2U5aIvFQnrOmUyG3m+W55XJZLBarSR6YrfbodPpIJPJ4HQ6qebDarVCq9USV7pGo6GwN2MRZL9XKBS0rzBPnhWDWq3WW1YrIODzjTvKY2a8x+UGkm1q5YVMwDUvIBgMYmRkBFeuXEEgEEAqlUIymUQoFEJtbW3VzUOr1d4UG5DBYKjIlVaDSCRCe3s71q9fjzNnzuCJJ56A1WpFNBrF2bNnUVNTg/b29lWuwsr3MJvNy4rLzGYz9Ho9fD4feRNzc3MAUFGFXT6G2WzG4uIi5fA/ThQKBUxNTaFQKGD//v04cOBAxe9Z+0soFKKKcgaZTEbV07cSxWIRi4uLGB0dxeTkJILBIPFbsyK5pe+OTqejiAkD02NmoVvgWntcLBZDY2Pjsqp+vV5PecxPGi6Xq+K7ZgdSiURSQX959epV5HI5vPfeexgcHKwYI5lMgud5IgW5kfxnNdxsxwMr9isvlqymTHWzc/gkyF0ECFgJd5RhZiGsG6FUKuHy5cv42c9+hrm5OdTX18PtdsNkMoHneUxOTq74WUZusFow4oUbQa/XY+fOnfjv//5vDA4OYt++fbh8+TJmZ2fxxS9+8ZZ4StUq01lrCuMuZlWrbONdCrFYTNWsq2mJuhXIZrMQi8UVGyyDSqWC2+2u6KUun+tH2fyvBxZReOGFFxAIBNDY2Ain0wmLxYJEIoGJiYmqn5PJZKt6D/L5PAqFQlV9XvburUbM4VaCHW5XY8gymQwArPhdWa3WCtnNTxpLa0EECLgTcUcZ5tUik8nglVdeweTkJP70T/8U9913H7XdLCws4PTp05/4nMRiMbq7u/HGG2/g1KlT2LFjB06fPg2lUonu7u41e32McINxRDOwEJ9erycjrdPpqLd0KXieJza01TJWrQUikYjCi88+++yKkQPG3PRxI5FI4KWXXsLi4iL+4i/+At3d3cScNTExgRMnTqxpfLlcDplMRt9VOVhI9tMwaqu9p16vh1Qqxb59+7B3796q1zANZwECBHw03FE55tUinU5jdnYWZrMZ3d3d0Ov15AUz+stPAw6HA93d3RgbG0N/fz8uXLiAtrY2NDQ03JLNeGFhAcFgkP5dKpUwPT2NSCSC+vp60hxubW2FVCrF0NBQhbpTqVTC1NQU/H4/Ghsbl4XzGHMSK7a5Ecr7O1fKOUokErS1tSGbzeLSpUvgOK5CsYkdEMoJRD5OMPY1l8uFrVu3Uk8rAMzOziKVSq1pfLPZDIvFgtnZWRK1AK6tvcfjqaiTWAuY58iqn28V2Ltz8eJFlEolKBSKZd9XtWiAAAECVo/PpGGWyWSkJjU+Po5EIoFYLIYLFy7g5ZdfXjUT0q2GRCLBrl27qF0pEolgx44dt4RBDAC8Xi/1sLIio1dffRVSqRQ7duygDXPz5s1oa2vD+++/j3fffRd+vx/hcBgXL17E/v37wXEcHnzwwWVhYqVSCZPJBK/Xi3PnziEcDiMSiZDy1lIwwZCZmRmMjIwgEokgHA4jGAxW0DNu374dLS0tePPNN3Hw4EHMzs7C7/fD4/HgwoULOHToUFXv/uOAXC6HVqtFMBjE5OQkkskkotEoBgcH8frrr69Z31en0+Huu+9GIBDAK6+8goWFBUQiEUxOTuKNN95Ys+FnYLSm8XgcfX19CIVC9F2tJVS+ceNGdHV14dSpU3jxxRdx9epV+P1+eL1ejI2N4a233sLCwsIteQYBAj6v+EzGm1QqFR5++GFMT0/jX//1X+FyuSh029XVRXmyTwMNDQ3YuHEj+vr64Ha7sWXLllviXbB+6UuXLqGnpwcKhQKhUAjZbBZPPPEEtm7dWkFz+PWvfx3/+Z//iZ///Od4/fXXwXEcQqEQOI7DH//xH1edl1KpxL59+zA5OYl/+7d/I0IXlUqFb3/728tacjQaDR566CH813/9F3784x8TDajBYMBf/dVfEQGI3W7Hn/3Zn+EXv/gFfvnLX+Lll18mKU4mycgEFj5u6PV6PPzww/jlL3+JH//4x3A4HMQ0d88996z53ZFIJHjssccwOzuLY8eO4dy5c1Cr1Uin02htbUV7eztisdian0MqlWLPnj0YGhrCb37zGxw9ehRSqRRisRhf//rXl7WerRZqtRpf/epXAQAHDx7Eu+++S9rZrKWpoaEBbrd7zc8gQMDnFZ+YYWaFR6zvsFqh0koQi8XYsGEDCoUCVa2yCt1CoYCmpibs3r0bNpuN7rFz506YzWb09fUhEAjAaDSis7MTHR0d+P3vf49EIlGRB5NIJNi2bRui0ShUKhX1KzLSg0KhUEH9x3EcduzYQa0iq4VKpcJdd92F3t5edHV1XZed6mbhcDjw3HPP4ezZs5iZmYFSqURnZyc6OzuXkSY0Njbi7//+7zE0NITLly+D53k4nU5s3bqVuKCXQiQS4b777oPZbMbAwADC4TDkcjnq6uqq9jSLRCI89NBDcDqdOHfuHLGiNTY2VlQAs/D697//fQwPD2N8fJxYlGpqarBx40Zqo2Foa2urKjW5VojFYjz88MNwuVwYGhpCLBaDwWDAli1b0NLSAqvVWkG7KJPJcM8996BUKi2LMHAcV/FOsTWxWq349re/jd7eXly+fBlisZg80Z6eHszPz9/UO1UN7KD2D//wDzh79ix8Ph+kUimcTmdFF4HFYsHevXvR3Ny8bAyDwYAvfOELaGlpqZAIdbvd+Ou//muMjo5idHSUBCGcTic2bNiApqamNc1dgIDPO0RrDc1VQdUBmeqR3W7H3NwcHA4HNBoN0uk0OI6jQiMmxsAa+xmncyKRoOuCwSAymQysVisWFhZgsVjA8zyMRiMikQiKxSIsFgv14S4sLMBqtVIBVDkRPzsoMCOcyWQgl8vh9XrBcRxsNhtCoRDi8TgaGhqI2zqZTFIxFRNYYO1I1wtN8zyP//iP/8CxY8fwwx/+EJs3b17zgp8/fx7/9E//hPvuuw9/8zd/s+bxBAgQIEDATeOWFVZ8Yh5zPp+H1+uF2WwmHWKmf6tSqbBx40ZIJBLE43EsLCwQSw8jEGD0euFwGNFoFIVCgbSK9Xo9AoEANBoNIpEIkQwwTeREIkFjWK1W5PN5XLlyBfF4HHK5nLwTuVyOfD6P2tpaKJVK8DwPn8+3jFAiEonA7/fDarWSBGAoFKLeydbW1qotG6wYq6enB21tbcs8i2w2i1deeQVXrlxZ9bref//9t9xr/Kygp6cH77zzzqrzwm63G88999xtQRLxUd+FPXv2fHyTEiBAwCeCT8wwM/WZYrEIvV5PpPVMxYaFiMsVXQAgEAhAq9USLSYzokz1iIVcM5kMUqkU9Ho9Ueyx8Dlj/mHGlYWkJRIJeerMmBsMBigUCng8HvA8T0xO5b3N5WMXCgWEQiFiFqvWYjQzM0PavgcPHkQul8MTTzxR1QB8HuTkGF0pizCs1AbFtJPVajV919WuZd8r+x1TPgJW3wa0mmvZvJmh/7jbt27mXfg8vDcCBHxe8In0+wzNAAAgAElEQVSFshn/LaOtZBscq5Bm5PZyuRwSiQRzc3Oora2ln7GqX5lMhkwmA5lMRrlmjuMoBM3k+hQKBd2PhZtTqRSRWSgUCtroGeEGa8lh15ZKJcjlctrkGeUfyxcyr5jpJ2ezWdjt9mX5wf/5n//B7373O+LmfeaZZ/Doo48uu44dSG7mO5FIJBgZGbljQtk8z2NwcBDr1q3DxMQEnE4nXC4XkskkxGIxKRMVCgUMDAzA7/fj3nvvhd/vR11dHdLpNK0jkwNcXFwEz/Nobm4mnuczZ87A7XbDYrEgFotBJpMRv7JWq0Umk0GxWKT2nlwuB41GA6lUinQ6jWg0StEadkAbGhrCxo0bEY1GkUgksH79esTjcXAcR1zPK0kqMjDBBrlcjlAoBIvFUtWgXu9dYIIr5dKiQCWZTDgcvq6m+PXA9KxvtlsgFouRPKYAAZ9D3HmhbEa1txQcx5EBZNeJxWKsX7++Qsi8fAOqxsxV/nvmRZdvEEyAvdyolhdyLUX5Z9kc2YbL5lW+obJxq3lRe/fuJXENu92OmpqaFYurPgpfdn19Pb73ve9VKDzdrigWi5icnITdbkc4HEYqlcLCwgIWFhYgl8vx8MMPE8VqNBolzd2rV6/Cbrfj9OnTWL9+Pak3dXZ2IhAIIJPJVKQGwuEw6QXHYjF4vV40NDSA53msX78e/f39aGtrQyQSIYWhtrY2iEQijI2NIRQKUe2AXC6Hw+HAxMQEGhsbEQwGST+7t7cXKpUKJpMJUqn0htSqsVgMo6OjaGlpwfT0NMLhMIxGIxlaZrhtNhs8Hg8V1zHJ02AwCKlUimAwCI7jYLfbKfJUW1tLNRRXr15FOByGzWYjLWyJREKHXKaGxBSWzGYzSTByHIf5+Xl0dHTQex0KhSg1FIlEkMvlYLfb4fV6KaIVCoXgdrsFwyxAwBpxW7RLsUKvclTL0RYKBSQSCajV6ptmFmKG9GbCj4wXmQlYXO+e1xvX5XLB5XKt+Pt0Oo18Pl8R0i9HPp9HLBajA8xSQQ29Xo/t27ev8qk+RLFYpOrnj0LgwT6fz+eJUax8HXK5HOLxOB1qVCoV5HI5bDYb8vk8LBYLjEYjAoEApFIp6eQC1w5XLpcLer2eNHDD4TB0Oh3q6+uRyWSoENBut2N2drbCu7RarTCZTPD5fAgGgygWi5DJZHC5XNBoNDCbzaitrUUikcDx48exc+fOivVmbGlMlUyj0dC87XY7YrEYRWMsFgsUCgWcTucNjZJKpYJOp4NKpSIpwcXFRUrtqFQqZDIZRKNRRCIR6PV6ei4mNcoiPiaTiTSJgWtRJ3awY0IPTJo0m81Cq9UiEAjAYDAgEokQA5xer4ff74dSqUQmk4FGo4HBYKg47DL9ZJVKhUuXLkGlUpE4RzabJRUoAQIErB2fWCj7pgb4vzDe0pYqv9+PF198EV/60pdIW/jjxNtvv410Ok1aumsFU+JZ+lzHjx/HwsICnnvuuar3CQQCOHToEBYWFtDY2Iinn356zUpUwLWDx69//Wvce++95C3eDLLZLA4fPoypqSmIxWJ89atfrZAs9Hq9OHToELxeL9rb2/H4449DIpEgmUxSCoKlNFgqg6UbGJkJ8wCZOD3jdWaHFXZIYweEeDwOiUQCo9EIhUKBQqGATCZD3iJLa7B0x9TUFAKBANra2hAIBEhfWafToa6uDoVCAblcDjqdDqlUiu4fi8VIjpApijHedPb+ltOIljN8+Xy+irx5sVgko1wqlZBOp2E0GhGNRsFxXIXKVTqdRrFYJGrPXC5HvdVs7dl6chyHXC6HZDIJpVIJlUqFWCwGk8mEYDAImUxGfOMsny+VSslQs7QCAGoXZIehQqEApVJJ3wvzvE0mk6BJLODzijsvlH0zYOo19913X8VGXygUqCL7k0AymbxlTEzAtSKw2dnZCu8MuOYxX48m1GQy4ZlnnsG7776LQCCwZvYphmKxiGg0+pGZ0GQyGR555BFcunQJhw4dWkbTabPZ8Oyzz+LNN99EMpmkeVfzKuVyOaUbSqUSeaPMMCzt9+Y4rqK3mfW3My+3/PBTLYWiVCpRKpVQW1tLoWIW1WAh4aVRkHKPkFXCV+vfzufzOHbsGLZu3QqLxULCITzPI5PJQKvVkjFjtKVMnhS4ZmBFIhFsNhuKxSJ8Ph+y2SycTid5sczrZX3RrAUwl8tBIpGQBrlKpaowsCx8bbfbqZiNdUBIJBJaK4fDgVwuRzUZSqWSIkblueuVNLkFCBDw0XFbGWbmLczPz2NkZATNzc3IZrNEk8jADHQ+n4darYZcLqeNp1QqUXiN6SivNnxdKpWQSqWQyWSqbubFYpE8uqVjs+I2ZshVKhUp9rAQ/Llz5xCPx9Ha2grg2gZcXgCWzWaRSqVoo2YhSha6rOYlM++zPAzO8zxSqdSy0PL1njuRSJD4e7mWdKFQIDk/Fq5kBpN5iisVO5XPuxoNZPl6cxxHxVfMC2Wh1XQ6TcaKSVFKJBIS3GAhfpVKdUO1KfZ+MM82lUrRM7PPFotFpNNpEpTQaDQU6mdrxa5lRWtsXTKZDLxeL86fP4+amhqUSiV6fualsu4C5mHa7XbE43F4vV4Ui0VIpVLI5XIKp+t0OsTjccTjcQQCATqkpNNphMNhyvGySneLxQKPxwODwYBcLkdesFwux8LCAjKZDD2/TCZDMBhEbW0t5ubmYLfbEYlEIJPJwPM8zGYzTCbTJyIgIkCAgGu4rQxzPp/HyZMnMTo6ivn5ebz55pvgOA6NjY145JFHAFzbNM+cOYNgMEjtUU8++SR5JufOncOZM2fA8zwkEgm6urrQ3d19w5x0qVTC+Pg43n33XeRyOZhMJsTjcfIICoUCBgcH0dPTQ5vdtm3b0NXVBalUitnZWRw5cgTJZBKFQgFarRaPP/44nE4ngsEgjhw5grGxMfJSRSIRHnvsMaxbtw7ANZ3e119/HX6/HzzPY/Pmzdi9e/cNQ9YjIyMYHR3Fc889R15gf38/xsfH8dxzz92QQYoVO/X19SGZTILjODz66KNobGxEoVDA73//e1y4cAGFQgHFYhGtra3Yu3fvmuUWC4UCRkdHcerUKfLKNm/ejHvuuQd9fX1Ip9N4+OGH0dPTg56eHnzta1+DRCLBa6+9hqeeegr5fB6HDx+mvnW5XI5HH30U9fX1N7z30aNHkc1mwfM8FVOxAj2RSISLFy/ixIkT4HkehUIBdrsdjz32GHnlR44cgcFgQCAQgMfjgVgsxtNPPw23242zZ89ieHgYc3NzOHz4MORyOdxuN/bs2QOVSkVVy4yJq7yWIpPJgOd5GAwG0nBmff/MmJYLREgkEphMJgQCARpDrVbDYDAgFArBarXC5/MhlUrBarVWSH4mk0ny0lmuW6PRQCwW08GU6XMLbVgCBHyyuK0Ms1Qqxc6dO1FbW4uXX34ZX/rSl2AwGJZtXplMBk8++STy+TxeeeUV9Pf346GHHsLc3ByOHj2Kffv2we12Y3Z2FgcPHoTFYqlKOViORCKBQ4cOYd26dbj33nsRCATw29/+lkLps7Oz+OCDD/Dwww/D4XBgenoab7/9NqxWKxobG6HX64nsI5/P44033kBPTw+efPJJmM3mijz1k08+Sd4mQzAYxP33348HH3wQExMTOHLkCFpbW5fxTy9FfX09jh07hpmZGbS0tCCTyeDcuXPYsGHDqrWrFxcX8Yd/+IdQKpV4++238cEHH6C2thZSqRQNDQ1oaGiARqPB7OwsDhw4gI6ODtTW1t5w7Ovd0+Px4K233sL999+PDRs2wO/3480334ROp4PBYMDExAR4nsfCwgLy+Tx8Ph8VRimVSpw4cQKJRALPPvsspFIpYrHYMtrOlRCPx3H16lV86UtfgtFoxJkzZ3D48GG4XC5otVrYbDY8+OCDMBqNiMfjeOmllzAyMoJ7770XwLXc/KVLl/DII49g9+7d4HkeVqsVIpEI99xzD2pra/G///u/ePrpp2G32yn3zELsUqkUOp2ODnjMgy9nlitvK5TL5TCZTORlszy9UqmkyA2ryWD3YfzwwLVCsGw2i2KxCJFIBK1WC7fbjWw2S2sqFoths9kgFovR0NBAf3OCURYg4JPHbWWYWfiStXYolcpl+Ui5XI7u7m7aeNatW0d510uXLiEej2N2dhbz8/PI5/NIJBKYm5vD+vXrr7vJBINBRKNRdHd3w2q1wmg0orGxkX5/8eJFJBIJyhPzPI9oNIqFhQU0NDRQKHR8fByZTAbZbJYUkZiXVN7GtXQuDocDW7ZsgVwuh1QqxdGjR1clT2k2m9HQ0IBz586hqakJHo8H0WgUGzduXPWmumXLFtTV1QEA2tvbcezYMSL/MJlMmJ6extWrVxGPx5HNZonqdC2YmpqCQqHAli1bqN1oeHgYw8PDeOCBB5DJZBAIBJBMJtHa2oq5uTkYDAYigLHb7RgcHMT58+fR1taG2tramyqIW7duHZqamogjfWhoCMFgEFqtlnqkL168SH3TS7+LmpoabN68eVmIl8kgsrxs+ftbno9lOXXmGbN8cLXvTKVSUUGVUqkk2U1GI1stKsIKyfR6PZHxsDw6K7pj6Rp2gFsrP7cAAQJuDW4rw7wasMIW4EPNWVZ0xPir2eYmlUqxa9euVYU3WYiPbVKsApWRijCvhkEmk2HPnj1EgnLixAkMDw9jw4YNlM+7mSIt5v0AH/ZJr+bzEokEmzdvxu9+9zsEg0GMjo7C7Xav2nsEPqzmZevJ7huJRPDb3/6WFINYbnetxWflud1yz0ytVhNpiFgsxszMDHmSFy5cQDweh8vlgkgkQnt7O2QyGQYGBvDSSy+htrYW+/btg8FgWNUcmDY18KFhYgVab731FrxeL1paWqBSqaiPfemarTXvWu5B38xnVnsAKecOqNZ+KECAgNsTt61hZpSX1bCSJ2gymaDRaLBr1y7yMJhQxY3ANrBEIgGz2UxeEiv6YWPv2bOngsZTJBIhnU6jt7cX9913H3bs2AEAmJycXCZQzwrBbuaZbgSRSETqToODg7hy5Qr27Nlz05t9NczNzcHn8+HP//zPYbFY4PP5cPz48Y80z6X3Yx5yOYtbMBiEwWCAVquFTqfD5cuXYbVa4XA4cPr0aUSjUXR0dFDVdmtrK9avXw+fz4f9+/djaGgIu3fvXtVaRqNR5HI5cBxH3rBSqUQ0GsWFCxfw7LPPoqWlBdlsFn19fTf9fACWVakLECBAwGpwWxpmtVqNYrGIgYEB1NXVQaVSrSqn2dbWhoGBARw8eBAbN25EoVBAJBLBXXfddUNPymw2w+l04r333sM999yDUCiE2dlZYpPq6OjA0NAQDh48iA0bNiCfzyMajWLr1q2QyWTQaDSYmZmB0+mEx+PB9PT0Mk1aJkN54cIFcBwHt9tdUW1eDcxbTyQSiMfjSKfTREjBvDYWEj506BCFtm9FbpD1AV+5cgXhcBjnzp2rCGNnMhnEYjEEg0HwPI/FxUXk83no9XrqLWZzZ79Xq9XQarVYv349enp68N5772Hjxo3weDzweDx45plnIJFI4HA4cOLECXR0dBDJRjwepzaloaEh5HI5GAwGxONxFIvFm6KQnJ6exqlTp2C1WnH27Fm4XC6YzWbqApicnIRMJsPExAQCgQAxt6123aRSKQYHB5FIJCCXy1FfXy/kawUIELAqSH74wx/e6jHXPCATvBgbG8P09DRkMhnq6upI7am1tZU84kAgAJlMhqamJqhUKtTV1cHj8eDSpUvweDzQaDRoaGi4YSGUVCqF2+2Gz+fD+Pg4FAoF1q9fD7VaTWHc2tpaLCws4PLly/D5fNBqtWhoaIBSqYTFYsH09DQmJiYgk8nQ0dEBjuPQ1NRErUUmkwmJRAKjo6Pw+Xyoq6urUKZiVcH5fB4LCwtoamqCTqfDwMAATp48iUgkgnw+j+npaUSjUdTV1VGxj1KpRF9fHzZt2rTq/HKhUIDH48G6detgMpkgEomQSCSQSCSwceNGGAwGcByHixcvwuv1orm5GQaDAbW1tdDr9ZiZmcGRI0cwOzsLiUSC+fl5zM7OoqamBgqFAj09PThz5gypgF29ehWJRAJ1dXW0nvPz87h48SKy2Sz27NmDpqYmKoDy+/3o7u6GVqsl4pAtW7ZAKpXC7/djeHiYDGdnZye2bt26qjDvhQsXoNPpwHEcRkdHYTAYsG/fPkpBGAwGjI2NYWpqCkajEU1NTfQOlkolzM/PQ6VSVaRIWOqBeclGoxFjY2MUOWH1CiwSVC6CwrS/y0lIGNiYLA+99PPs3gIECPjU8f9u1UC3JfMXANq0yskm2M/K88gsNFyel2XiFqyqlbWHrBRGFovFUKlUZBDKq2LZ/a83Nvtd+XyXfpY9U/nn2XNUewZWrMMoIZeGRcs/XyqVMDc3h9/85jf4oz/6I+qfZe03K4EVG5U/B7sXy0mWGxuWz2efYQZjKVgYfTXzrrYe5Z9l8ygWiyiVShWfZevN5sP6eK9XnCaTyfDqq69CqVTiqaeeqiD5YPdmhx8W6maiJs3NzVQpzpjLWLuR0+nE4uIiEokE9ZAD1wq+IpEISYryPA+lUklqaQCo0pyxaYlEIjgcDgDXSGkUCgXS6TT1dbO/2UKhAJfLJXBTCxBwe+CzzfwFVOfPXg2nNtvgy3/O8zzeeecdeDyeqvfS6XR44oknqDVrpUKZamNfb26r/Xy1Zygf63pzWlxchM/nw9mzZ9HQ0EAbeqlUQl9fH86fP1/1c1KpFI888siywjhmpMrnUv7v8nksvXYprjdvNvZK1ywd+0ZrxHD16lW89957K+Z3t23bRoZtpXuzIjDGJMaoMdkhhxlPJrTBDGYymSTlK+CagWf90sCHOWdGoMLC3Izukx0+yjXI2VxlMlmF0hWTNhUgQMBnD7etx3zdGywJ4RUKBfj9fphMpqoha5anvZHHzAqQrFbrHVPFOjg4iL6+PlitVuzevRsGg4G8yKUe89JCOFZxfDuB6VuzNp+bxY08Zrlcjt///veQy+W4//77q15TTsTBIgNM2ILjOGKaYxGGfD6PdDoNnudp3izUzK4pD1WXG3XGKsauZ4eRRCIB4MN8NYsqsGvY9dWoQwUIEPCp4JadlO9Iw+z1eokQAbhGTfj6669j3759yziVbwbhcBiHDh3CU089dceEB5mXxQxFLpfD9PQ0GhsbKw4X2WwWMzMzlMO9XZHJZHDs2DFs27btI+sJXw/ludmbWYelfyflB5zr/W41Yy69/qOOJ0CAgE8Vn/1QdjUwFZ7z58+T2AHrrWUk/oFAABzHQavVkmeRTCaRTqeJqGGljY7lPNPpNPXZMuEC1j7FeKkZD3YikQDHcchkMqRCJJPJEI/HIZPJSNKRMT0BH2o38zxPcnzV5pTNZpHL5ejZ2NhMvYiFM5lwA8/zmJubw8DAAEksGo1G5HI5zM7OYnBwEBqNBjKZDEajkXKy8Xic+LmlUinxY8vlcsTjcWKqWsmQsXx2MpkkZinmiWezWVoL9p0wRSSpVIpEIkHrzHSC29raKsRLWN9z+XfCvEf23ZZzbV8P7ADDiD1KpVLVz5Tnv5eqgbHvgz1j+bqwgxJ798rrFarNZaU5ChAg4POLO8ow5/N5TExMYHp6miT3Ghoa4HK5kMvl0NPTQ/SMXV1daG5uxsTEBEZGRiCVSpHL5dDd3Y2ampoVN790Oo3Tp08DuEbduGvXLjidTly4cIE0fwuFAh588EHo9Xr09PRQ6DOXy6GrqwsulwunT5+GVCoFz/PI5/Po7u5GOBzGzMwM9u7dC7FYjHPnziGfz1Pv81LMzs6ip6cHRqMR6XSaerQZhzUrBDKbzdi+fTsRjCwuLuLChQvQarXYunUr/H4//Xx4eBharRZdXV3IZrM4ffo0MpkM8vk8bDYb7r77bqRSKRw5cgQWi4WM4c6dO1cMLYfDYRw/fhwcxyGfz6OlpQWtra0IBoO0ltlsFs3Nzdi0aRP8fj9OnToFs9mMZDIJq9WK7u5uZLNZqoZ+7LHHYLPZqAq6r6+PhCs6OzvR1NSE6elpDAwMQKFQoFgs0trfCKVSCQsLC3Sg0Ov1JFghlUpht9uRzWapJoEVnCkUCthsNiQSCXi9XpjNZioMUygUlDuWSqWw2WzIZrNYWFggmUpGWiPwTwsQIOB6uKMMM8dx6OzshM/nQ01NDTo6OgCADFRTUxPa2towNDSEiYkJuFwuDAwMYNOmTXA6nRgeHsbQ0BCcTueKnlWxWERHRwfq6upw4sQJTE1Nwe12E5kFz/M4cuQI/H4/9Ho9CTDs3buXvDE2J7VaTT8Xi8VQq9U4f/48KQJNT0/j3nvvXXGTLhQKyOfz2LVrF0QiEd58803Mzc1RkdGjjz6KfD6PQ4cOUc/1li1bkE6n8cADD5BHV1NTg3w+j1wuhy984QsU4mYEHzt27EAqlcKxY8fQ1NQEpVKJcDiMrVu3Yt26daQbvBIikQiy2Sx27txZEakYHByEXq9HR0cHFhcX0dvbi6amJhSLRUQiEezevRtms5nypxqNBtu2bSOVJfZ99PX1oaamBo2NjZiamsLAwABqamqwuLgIpVKJnTt3kh7yasGqpLVaLcLhMAqFAukTMyPNBCNKpRIikQgkEgnJKhqNRvLYGZ1mOBwmlal8Pk/qTel0GolEAhqNBsVi8aZY2QQIEPD5wx1lmJnhY4as3KBxHEeCARqNBoVCAalUCqFQCBcvXsTExAQRUlwPKpUKFouFxonFYsjlcrhw4QICgQDkcjlisRgZDpFIBLvdvqyISiwWw+FwVPxcrVbD4XDgypUrcDqdEIvFN8yj6nQ6KkzT6XSIxWKIRqOwWCyQyWQUZg6FQkSGUr5e1daOhXIDgQAWFxdx6tQplEolCs8D1yqPmUd4o1ysy+VCbW0t3n//fRiNRmzduhUqlQrBYBD5fB7hcJhSAGzddDod9Hp91Srw8nkzucRsNov5+XkUCgVKL2zYsAG9vb04cuQI3G43Nm/evCrGM9ZTzlrvTCYTtWYVi0VS2bLZbHSostlsyOfziMfjlCIoFoskzykSiVBTU0ORmUQiQZ4zM+7AzeW1BQgQ8PnEHWWYy1Fe9AQsb+sBrhlrnU6Hu+++m8KirEVnJSw1DMA1EpOxsTE8/vjjUCgUFTJ7wMqb7dJxRCIRmpubcerUKQQCATQ0NNywKprlrtn/Z2FRdjgoFArIZDLUJlVuBJbem60Z+7darUZ9fT127txJXq5MJqPc9WrDrTKZDNu3b0cymcTg4CDOnDmDffv2QaVSoaamBu3t7QBA8ow3Mz7TgN66dSsJbbB7Mr7ySCSCkydPguM4bN26ddXjMiNebszZHMvXjV0jk8moPmDp54APW7pYyHrpGAIECBCwGtxxhlksFsNsNmN8fBz5fB4ul2tFL1itVqO5uRkDAwNwu93geR4ul2tVohblkMlkkEgkGB8fJz3ljwqLxQKO4zA/P4977rnnhpt2KBRCb28vCoUCcrkc3G438vk83n//fZw+fZqKmBjlI4sW9Pb2wmg0orm5mYrheJ5Hb28vDAYDmpub0dLSguPHj2NgYICKyjZv3nzTzzQ3N4fZ2VnI5XIkEgnodDpIJBJs2rQJ/f39xBkul8uxadOmFccJBAKYn59HNBrF5OQkcrkcXC4X2tvbcf78eUQiERQKBZr/2NgYYrEYpFIp8vn8TVFyroTrfR+rNbCCIRYgQMBacFtScl4PLAzJcRxt0hqNBkqlElarFRzHQSKRQK/Xw2QywW63Q6VSkfas3W4n5ael/7E8MOtjlkqlMBgMsNlssFqtyGazMBqNaGlpgdlshkKhAMdxMJvNFZ4UcM1bt1gsy4yFWCxGOByGSCTCpk2bKljBlv4XDAapwE0sFmPz5s0wGo1QKpWw2+3IZDJQqVTYsmULdDod5UXLOZ+NRiMkEglp+mazWSgUChiNRmg0GjidTmSzWYhEIlitViJZUalUtA7lVJHVKCFZXrZQKMBut6O9vR1SqZS+g2AwCI/HA4fDAbVajUwmA+CaZxkKhSCVShEIBBCPxxGPx2Gz2cDzPILBIMxmM9RqNTiOQzgcRjabhcPhgEgkoshBOp1GY2Mjmpubkc1mkUqlqBgvnU4jmUwiHo/Td8QoQhmpRzabpXyyAAECBHxEfPYpOT8u5PN5nDt3bpnXKxKJ0NTUVBEu/TjunUwmcfToUbS3t6O5uZnav7LZbMW1HMdBJpPB5/PhySef/NjmtBqwyujLly8v+53BYEBHR8eKFdu5XA5jY2OYnZ2laEcqlYJcLifGLJYrl8vlSKVSaG1tJa9ZIpEgnU7D4XBAJpOB53lqM2Oc1UqlEo2NjXC5XLhw4QJSqRRKpRJ4nodKpYLZbCb+72QyicnJSQQCAeh0OirY2rZtm6BHLECAgLXg800wshawDbsaZaNUKl0zExbP88R5vBTj4+MYHh6GxWJBd3c3KSItNcoM8/PzmJ6ext69e9c0p7WCtYixXHc5xGLxdb3NYrGI2dlZxGIxiMViyOVyJJNJmEwm5HI5qNVqpNNppNNpym+7XC6k02nI5XIEg0GUSiXiMmf81dlslnqEGfuVUqnEzMwMkcNwHAej0QidTgev1wulUol8Po9EIgGRSASDwYBQKASFQoG6uro7hu1NgAABtyUEw3y7YnJyEsFgEN3d3ct+x+QRLRYL4vE4hoaG8IUvfGHFsXK53C3LnX7SKBaLCAQCVNm9EsoNejQahVQqpSK98vTASkxbrNiNkZYUCoUKMpRyUYxUKgXgQ/GO8kI5IYwtQICANeLzyfz1aYHJMKZSKdhsNqhUKvh8PvA8D7lcDrfbjWQyCa/Xi0AgUNUbTyQS6O/vh1Qqxfr166FQKBCJRDAxMUHazIyQgv2b47gKD75QKMDn8yEWi8FoNMJqtSIUCiEQCECv18NutyMSiRBzmdVqhVarhZ2LLe0AAAa9SURBVNfrRSwWg8lkgsViweLiImKxGKxWK4xGI3w+H/E9M2WqhYUFSCQSuN1uFAoFallSqVSU42UolUoIh8Pw+/2Qy+VwuVxYWFjAmTNn0N7ejrq6OiiVSszPzyOfz8PpdKJUKiEUCiGbzUKn01HV/NzcHDQazbJ7lKNatTur0l4JYrGY2qyuN5YAAQIEfNoQmipXAUZRGY/Hcfr0aYRCIRw9ehTJZBL9/f3weDzo6elBMBhEKBSiKuRyMMpMiURCxjYcDiOZTGJgYABerxc9PT0IBAKYmJjA2NjYsrYndv9UKkVFTadOnUI2m0VfXx98Ph8uX75MldCFQgEzMzMYHBykULTP50N/fz+SySROnjyJVCqFs2fPYnJykghNent7sbi4iMnJSVy8eBHBYBAffPAB0ul0VSGQUqmEM2fOIBgMIp1O07x5nifSjpGREUxNTSEUCuHs2bOYmZnBiRMnkEqlaE3ZfPr7++H1equ2fQkQIEDAZx2CYV4FeJ5HIpFAMplENBpFPp+HxWLB5s2bYTKZEIvFkEwm0dHRsaJIhFqthslkgtPprCAX6ezshMlkQjQaxfT0NCKRCBKJRNWWLJVKhbq6OgQCAeKVlslk6OzshN1uh9/vh0gkQn19PVpbW2E2m7GwsIDGxkZ0dHSgpqYGfr8ffr8foVAIyWSSOKs3bNiA1tZWcByHq1evLpuH2WxGe3t7VTpTVjgXj8eJCctiscBgMGDdunXQaDTwer1oaWnBpk2bqCq6trYWHR0dlEuen59HKBRCKpUidSUBAgQI+LxBCGWvAtPT0/D7/aipqYHP5wPwIX8y8CH5xPT0NHw+34pFRIycxGKxkHgCy3VKpVI4nU4YjUZotdqqKlnFYhE2mw1yuRyXLl3C3XffDZ7nMT09jWAwiLa2NmQymYq5mc1mzMzMQKfTQaFQwGAwwGKxwO12o76+nig02WFCIpHA6XRCr9dDp9PBbDYjl8stE3JYOi+NRoOmpiacO3cODQ0NUCqVKJVK8Hg8sNvtMJlMmJubQywWg1wup0psBtYCZrPZ4HK5VsV5LUCAAAGfRdxxfcyfBljltEQiQW1tLfUwMzECk8kEh8MBv98PnU4Ht9sNvV6/bJxyXmaj0Qi5XE68ySaTCTU1NYhGo8jlcjCbzcuKvph6FM/zaGlpgc1mg1qthsfjIeIUsVgMnU5Hlcl6vR75fJ7yv263GzKZDOFwGAqFAiaTCWKxmLSsmScfjUbB8zzNg/VEVwMzwOFwGHV1dXA6neA4jg4iWq0WNTU1iMViyGQy6OjogFqthlqtJmUsh8NBOfNSqQSr1fqR9JgFCBAg4FOC0Md8OyMWi2F4eJjai8RiMTZu3HhT+sLxeBznz5+nMUQiEVpbW2G32yuuYwIQayliuhn9X9YHHo/H6WculwtNTU1Cu5EAAQI+zxDapW5nML3e8lYcxkh2PTDyDKZOxEQWSqUSEokEZDIZ6Tqzlp/x8XFoNBqYzWYqtmIKSKw6nOO4itB5JpNBsVgEx3HgeR4ikQjBYBBWqxWLi4twOp0Uvi4UCtR/DFzj62ZqXmwMpvJUU1Pz8S6sAAECBNy+ENqlbmeIxeIKEYPVYmpqCpcuXSLFI9bDzAg85HI5rly5gmg0iu3bt8NgMCAcDuPq1auw2+0IBoNQqVTgeR51dXWYmppCXV0d4vE4OI5DY2MjxGIx+vv7iZyDGV2v14vOzk4MDQ2B53lcuXIFWq0WuVwOLS0tcDqdAK7l26enp4myVCqVIpFIoLGx8VYvowABAgR8LiFUZd9mUCqV5KWKxWIkEglks1lIpVKEw2EkEgmoVCpquWIKTkynORqNwmQywWw2Q6PRkJ5yoVAgr5cxjaXTaWLMMhgMxG3NmL5UKhXUajWcTidEIhFyuRy8Xi9SqRQdHmKxGBQKhRDGFiBAgIBbBCGUfRshnU6D53kA18LazOsWi8XIZrPI5/NQKBRIp9MU4mbyjZlMhgQqZDIZ5HI50VyOjIxQQVYul8Pk5CTq6+uh1+uRSqVgMBgQjUah0+mQSCQqPiuRSIgqE7iWY2ZeNguFZzIZ6PX6O5KhTIAAAQJuEYQc8+cZpVKJuKI5jrtuK1OhUEA6nYZSqaS8t0gkgkKhWHXBWKFQoAMDM9YCBAgQIKACgmEWIECAAAECbiPcMsMs5JgFCBAgQICA2wgfR1W2oAogQIAAAQIEfEQIHrMAAQIECBBwG0EwzAIECBAgQMBtBMEwCxAgQIAAAbcRBMMsQIAAAQIE3EYQDLMAAQIECBBwG0EwzAIECBAgQMBthP8Pz3490Wvrnx8AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "positive_word_cloud = create_word_cloud_with_mask(\"sorting_hat.PNG\", fourgrams_dict_pos, 75, \"Positive Review Word Cloud Fourgrams\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 418,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "negative_word_cloud = create_word_cloud_with_mask(\"sorting_hat.PNG\", fourgrams_dict_neg, 75, \"Negative Review Word Cloud Fourgrams\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 419,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>word</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>79</td>\n",
       "      <td>209</td>\n",
       "      <td>harry_potter_and_the</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>32802</td>\n",
       "      <td>65</td>\n",
       "      <td>and_the_deathly_hallows</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>32801</td>\n",
       "      <td>64</td>\n",
       "      <td>potter_and_the_deathly</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>32803</td>\n",
       "      <td>61</td>\n",
       "      <td>the_deathly_hallows_part</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>23482</td>\n",
       "      <td>45</td>\n",
       "      <td>the_half_blood_prince</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15095</td>\n",
       "      <td>42</td>\n",
       "      <td>the_order_the_phoenix</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3517</td>\n",
       "      <td>39</td>\n",
       "      <td>the_harry_potter_series</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8949</td>\n",
       "      <td>28</td>\n",
       "      <td>potter_and_the_prisoner</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8950</td>\n",
       "      <td>28</td>\n",
       "      <td>and_the_prisoner_azkaban</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5092</td>\n",
       "      <td>26</td>\n",
       "      <td>the_best_harry_potter</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>23481</td>\n",
       "      <td>25</td>\n",
       "      <td>and_the_half_blood</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>27566</td>\n",
       "      <td>25</td>\n",
       "      <td>harry_ron_and_hermione</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17397</td>\n",
       "      <td>23</td>\n",
       "      <td>potter_and_the_order</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17398</td>\n",
       "      <td>22</td>\n",
       "      <td>and_the_order_the</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>23480</td>\n",
       "      <td>22</td>\n",
       "      <td>potter_and_the_half</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>81</td>\n",
       "      <td>21</td>\n",
       "      <td>and_the_sorcerer_stone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7986</td>\n",
       "      <td>21</td>\n",
       "      <td>the_first_two_films</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>80</td>\n",
       "      <td>20</td>\n",
       "      <td>potter_and_the_sorcerer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11238</td>\n",
       "      <td>19</td>\n",
       "      <td>the_harry_potter_franchise</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4117</td>\n",
       "      <td>19</td>\n",
       "      <td>emma_watson_and_rupert</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       count                        word\n",
       "79       209        harry_potter_and_the\n",
       "32802     65     and_the_deathly_hallows\n",
       "32801     64      potter_and_the_deathly\n",
       "32803     61    the_deathly_hallows_part\n",
       "23482     45       the_half_blood_prince\n",
       "15095     42       the_order_the_phoenix\n",
       "3517      39     the_harry_potter_series\n",
       "8949      28     potter_and_the_prisoner\n",
       "8950      28    and_the_prisoner_azkaban\n",
       "5092      26       the_best_harry_potter\n",
       "23481     25          and_the_half_blood\n",
       "27566     25      harry_ron_and_hermione\n",
       "17397     23        potter_and_the_order\n",
       "17398     22           and_the_order_the\n",
       "23480     22         potter_and_the_half\n",
       "81        21      and_the_sorcerer_stone\n",
       "7986      21         the_first_two_films\n",
       "80        20     potter_and_the_sorcerer\n",
       "11238     19  the_harry_potter_franchise\n",
       "4117      19      emma_watson_and_rupert"
      ]
     },
     "execution_count": 419,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Visualizing the top 12 words/characters\n",
    "eda_reviews_top_words_pos = word_freq_dict_to_df_top_words(fourgrams_dict_pos, 20)\n",
    "eda_reviews_top_words_pos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 420,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>word</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>1707</td>\n",
       "      <td>89</td>\n",
       "      <td>harry_potter_and_the</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>26092</td>\n",
       "      <td>36</td>\n",
       "      <td>the_half_blood_prince</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8710</td>\n",
       "      <td>33</td>\n",
       "      <td>the_order_the_phoenix</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>303</td>\n",
       "      <td>29</td>\n",
       "      <td>the_harry_potter_series</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12209</td>\n",
       "      <td>25</td>\n",
       "      <td>have_read_the_book</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2227</td>\n",
       "      <td>24</td>\n",
       "      <td>read_the_book_and</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7765</td>\n",
       "      <td>23</td>\n",
       "      <td>the_harry_potter_movies</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8215</td>\n",
       "      <td>21</td>\n",
       "      <td>the_first_two_films</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>354</td>\n",
       "      <td>20</td>\n",
       "      <td>the_lord_the_rings</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>31311</td>\n",
       "      <td>19</td>\n",
       "      <td>the_harry_potter_books</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1000</td>\n",
       "      <td>19</td>\n",
       "      <td>read_the_books_and</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8152</td>\n",
       "      <td>19</td>\n",
       "      <td>you_havenot_read_the</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2346</td>\n",
       "      <td>18</td>\n",
       "      <td>never_read_the_books</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8153</td>\n",
       "      <td>17</td>\n",
       "      <td>havenot_read_the_book</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8967</td>\n",
       "      <td>16</td>\n",
       "      <td>the_fact_that_the</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>999</td>\n",
       "      <td>16</td>\n",
       "      <td>havenot_read_the_books</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19605</td>\n",
       "      <td>16</td>\n",
       "      <td>and_the_order_the</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7723</td>\n",
       "      <td>16</td>\n",
       "      <td>the_first_two_movies</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8136</td>\n",
       "      <td>15</td>\n",
       "      <td>you_read_the_book</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2788</td>\n",
       "      <td>14</td>\n",
       "      <td>have_read_the_books</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       count                     word\n",
       "1707      89     harry_potter_and_the\n",
       "26092     36    the_half_blood_prince\n",
       "8710      33    the_order_the_phoenix\n",
       "303       29  the_harry_potter_series\n",
       "12209     25       have_read_the_book\n",
       "2227      24        read_the_book_and\n",
       "7765      23  the_harry_potter_movies\n",
       "8215      21      the_first_two_films\n",
       "354       20       the_lord_the_rings\n",
       "31311     19   the_harry_potter_books\n",
       "1000      19       read_the_books_and\n",
       "8152      19     you_havenot_read_the\n",
       "2346      18     never_read_the_books\n",
       "8153      17    havenot_read_the_book\n",
       "8967      16        the_fact_that_the\n",
       "999       16   havenot_read_the_books\n",
       "19605     16        and_the_order_the\n",
       "7723      16     the_first_two_movies\n",
       "8136      15        you_read_the_book\n",
       "2788      14      have_read_the_books"
      ]
     },
     "execution_count": 420,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Visualizing the top 12 words/characters\n",
    "eda_reviews_top_words_neg = word_freq_dict_to_df_top_words(fourgrams_dict_neg, 20)\n",
    "eda_reviews_top_words_neg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 421,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "positive_bar_plot = top_words_bar_plot(eda_reviews_top_words_pos, \"Top 20 Positive Words\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 422,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "negative_bar_plot = top_words_bar_plot(eda_reviews_top_words_neg, \"Top 20 Negative Words\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 423,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Adding a label to the positive reviews and negative reviews \n",
    "positive_df[\"label\"] = \"pos\"\n",
    "negative_df[\"label\"] = \"neg\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 424,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Combining the positive and negative df together \n",
    "combined_df = pd.concat([positive_df, negative_df])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 425,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>rating</th>\n",
       "      <th>review</th>\n",
       "      <th>new_review</th>\n",
       "      <th>percent_cap</th>\n",
       "      <th>review_tokenize</th>\n",
       "      <th>stopwords_removed</th>\n",
       "      <th>stemmed</th>\n",
       "      <th>sentiment_reduced</th>\n",
       "      <th>bigrams</th>\n",
       "      <th>bigrams_stopwords_removed</th>\n",
       "      <th>fourgrams</th>\n",
       "      <th>label</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>The Magic Comes To Life!\\n== Once upon a time...</td>\n",
       "      <td>the magic comes life once upon time and not t...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>[the, magic, comes, life, once, upon, time, an...</td>\n",
       "      <td>[magic, comes, life, once, upon, time, long, a...</td>\n",
       "      <td>[magic, come, life, onc, upon, time, long, ago...</td>\n",
       "      <td>[beloved, thanks, novel, well, witch, strange,...</td>\n",
       "      <td>[the_magic, magic_comes, comes_life, life_once...</td>\n",
       "      <td>[magic_comes, comes_life, life_once, once_upon...</td>\n",
       "      <td>[the_magic_comes_life, magic_comes_life_once, ...</td>\n",
       "      <td>pos</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>Pure Magic\\n== This movie is a delight for th...</td>\n",
       "      <td>pure magic this movie delight for those all a...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>[pure, magic, this, movie, delight, for, those...</td>\n",
       "      <td>[pure, magic, delight, those, ages, seen, seve...</td>\n",
       "      <td>[pure, magic, delight, those, age, seen, sever...</td>\n",
       "      <td>[delight, enchanted, outstanding, special, del...</td>\n",
       "      <td>[pure_magic, magic_this, this_movie, movie_del...</td>\n",
       "      <td>[pure_magic, magic_delight, delight_those, tho...</td>\n",
       "      <td>[pure_magic_this_movie, magic_this_movie_delig...</td>\n",
       "      <td>pos</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>Enchantment, Trapdoor to Imaginary World.\\n==...</td>\n",
       "      <td>ian enchantment trapdoor imaginary world this...</td>\n",
       "      <td>0.002242</td>\n",
       "      <td>[ian, enchantment, trapdoor, imaginary, world,...</td>\n",
       "      <td>[ian, enchantment, trapdoor, imaginary, world,...</td>\n",
       "      <td>[ian, enchant, trapdoor, imaginari, world, tra...</td>\n",
       "      <td>[trap, passion, like, missing, hard, wishes, l...</td>\n",
       "      <td>[ian_enchantment, enchantment_trapdoor, trapdo...</td>\n",
       "      <td>[ian_enchantment, enchantment_trapdoor, trapdo...</td>\n",
       "      <td>[ian_enchantment_trapdoor_imaginary, enchantme...</td>\n",
       "      <td>pos</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>10</td>\n",
       "      <td>Harry Potter and the Sorcerer's Stone\\n== 10/...</td>\n",
       "      <td>harry potter and the sorcerer stone unforgett...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>[harry, potter, and, the, sorcerer, stone, unf...</td>\n",
       "      <td>[harry, potter, sorcerer, stone, unforgettable...</td>\n",
       "      <td>[harri, potter, sorcer, stone, unforgett, star...</td>\n",
       "      <td>[fantastic]</td>\n",
       "      <td>[harry_potter, potter_and, and_the, the_sorcer...</td>\n",
       "      <td>[harry_potter, potter_sorcerer, sorcerer_stone...</td>\n",
       "      <td>[harry_potter_and_the, potter_and_the_sorcerer...</td>\n",
       "      <td>pos</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "      <td>Great Journey to the Magic World\\n== I watch ...</td>\n",
       "      <td>great journey the magic world watch this movi...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>[great, journey, the, magic, world, watch, thi...</td>\n",
       "      <td>[great, journey, magic, world, watch, again, b...</td>\n",
       "      <td>[great, journey, magic, world, watch, again, b...</td>\n",
       "      <td>[great, amazing, miss, good, friendship, brave...</td>\n",
       "      <td>[great_journey, journey_the, the_magic, magic_...</td>\n",
       "      <td>[great_journey, journey_magic, magic_world, wo...</td>\n",
       "      <td>[great_journey_the_magic, journey_the_magic_wo...</td>\n",
       "      <td>pos</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  rating                                             review  \\\n",
       "0     10   The Magic Comes To Life!\\n== Once upon a time...   \n",
       "1     10   Pure Magic\\n== This movie is a delight for th...   \n",
       "2     10   Enchantment, Trapdoor to Imaginary World.\\n==...   \n",
       "3     10   Harry Potter and the Sorcerer's Stone\\n== 10/...   \n",
       "4     10   Great Journey to the Magic World\\n== I watch ...   \n",
       "\n",
       "                                          new_review  percent_cap  \\\n",
       "0   the magic comes life once upon time and not t...     0.000000   \n",
       "1   pure magic this movie delight for those all a...     0.000000   \n",
       "2   ian enchantment trapdoor imaginary world this...     0.002242   \n",
       "3   harry potter and the sorcerer stone unforgett...     0.000000   \n",
       "4   great journey the magic world watch this movi...     0.000000   \n",
       "\n",
       "                                     review_tokenize  \\\n",
       "0  [the, magic, comes, life, once, upon, time, an...   \n",
       "1  [pure, magic, this, movie, delight, for, those...   \n",
       "2  [ian, enchantment, trapdoor, imaginary, world,...   \n",
       "3  [harry, potter, and, the, sorcerer, stone, unf...   \n",
       "4  [great, journey, the, magic, world, watch, thi...   \n",
       "\n",
       "                                   stopwords_removed  \\\n",
       "0  [magic, comes, life, once, upon, time, long, a...   \n",
       "1  [pure, magic, delight, those, ages, seen, seve...   \n",
       "2  [ian, enchantment, trapdoor, imaginary, world,...   \n",
       "3  [harry, potter, sorcerer, stone, unforgettable...   \n",
       "4  [great, journey, magic, world, watch, again, b...   \n",
       "\n",
       "                                             stemmed  \\\n",
       "0  [magic, come, life, onc, upon, time, long, ago...   \n",
       "1  [pure, magic, delight, those, age, seen, sever...   \n",
       "2  [ian, enchant, trapdoor, imaginari, world, tra...   \n",
       "3  [harri, potter, sorcer, stone, unforgett, star...   \n",
       "4  [great, journey, magic, world, watch, again, b...   \n",
       "\n",
       "                                   sentiment_reduced  \\\n",
       "0  [beloved, thanks, novel, well, witch, strange,...   \n",
       "1  [delight, enchanted, outstanding, special, del...   \n",
       "2  [trap, passion, like, missing, hard, wishes, l...   \n",
       "3                                        [fantastic]   \n",
       "4  [great, amazing, miss, good, friendship, brave...   \n",
       "\n",
       "                                             bigrams  \\\n",
       "0  [the_magic, magic_comes, comes_life, life_once...   \n",
       "1  [pure_magic, magic_this, this_movie, movie_del...   \n",
       "2  [ian_enchantment, enchantment_trapdoor, trapdo...   \n",
       "3  [harry_potter, potter_and, and_the, the_sorcer...   \n",
       "4  [great_journey, journey_the, the_magic, magic_...   \n",
       "\n",
       "                           bigrams_stopwords_removed  \\\n",
       "0  [magic_comes, comes_life, life_once, once_upon...   \n",
       "1  [pure_magic, magic_delight, delight_those, tho...   \n",
       "2  [ian_enchantment, enchantment_trapdoor, trapdo...   \n",
       "3  [harry_potter, potter_sorcerer, sorcerer_stone...   \n",
       "4  [great_journey, journey_magic, magic_world, wo...   \n",
       "\n",
       "                                           fourgrams label  \n",
       "0  [the_magic_comes_life, magic_comes_life_once, ...   pos  \n",
       "1  [pure_magic_this_movie, magic_this_movie_delig...   pos  \n",
       "2  [ian_enchantment_trapdoor_imaginary, enchantme...   pos  \n",
       "3  [harry_potter_and_the, potter_and_the_sorcerer...   pos  \n",
       "4  [great_journey_the_magic, journey_the_magic_wo...   pos  "
      ]
     },
     "execution_count": 425,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "combined_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 426,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>rating</th>\n",
       "      <th>review</th>\n",
       "      <th>new_review</th>\n",
       "      <th>percent_cap</th>\n",
       "      <th>review_tokenize</th>\n",
       "      <th>stopwords_removed</th>\n",
       "      <th>stemmed</th>\n",
       "      <th>sentiment_reduced</th>\n",
       "      <th>bigrams</th>\n",
       "      <th>bigrams_stopwords_removed</th>\n",
       "      <th>fourgrams</th>\n",
       "      <th>label</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>487</td>\n",
       "      <td>3</td>\n",
       "      <td>Deathly Disappointing\\n== Time for your OWL m...</td>\n",
       "      <td>owl rofle omg deathly disappointing time for ...</td>\n",
       "      <td>0.005435</td>\n",
       "      <td>[owl, rofle, omg, deathly, disappointing, time...</td>\n",
       "      <td>[owl, rofle, omg, deathly, disappointing, time...</td>\n",
       "      <td>[owl, rofl, omg, deathli, disappoint, time, ow...</td>\n",
       "      <td>[disappointing, dreadful, poor, better, luck, ...</td>\n",
       "      <td>[owl_rofle, rofle_omg, omg_deathly, deathly_di...</td>\n",
       "      <td>[owl_rofle, rofle_omg, omg_deathly, deathly_di...</td>\n",
       "      <td>[owl_rofle_omg_deathly, rofle_omg_deathly_disa...</td>\n",
       "      <td>neg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>488</td>\n",
       "      <td>3</td>\n",
       "      <td>Nothing but disappointing.\\n== It's been 3 ye...</td>\n",
       "      <td>nothing but disappointing been years now sinc...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>[nothing, but, disappointing, been, years, now...</td>\n",
       "      <td>[nothing, but, disappointing, been, years, now...</td>\n",
       "      <td>[noth, but, disappoint, been, year, now, sinc,...</td>\n",
       "      <td>[disappointing, strong, mess, ironic, shocked,...</td>\n",
       "      <td>[nothing_but, but_disappointing, disappointing...</td>\n",
       "      <td>[nothing_but, but_disappointing, disappointing...</td>\n",
       "      <td>[nothing_but_disappointing_been, but_disappoin...</td>\n",
       "      <td>neg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>489</td>\n",
       "      <td>3</td>\n",
       "      <td>A middling series ends on a low-point.\\n== I'...</td>\n",
       "      <td>middling series ends low point will admit tha...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>[middling, series, ends, low, point, will, adm...</td>\n",
       "      <td>[middling, series, ends, low, point, will, adm...</td>\n",
       "      <td>[middl, seri, end, low, point, will, admit, ne...</td>\n",
       "      <td>[low, admit, liked, emotional, improvement, li...</td>\n",
       "      <td>[middling_series, series_ends, ends_low, low_p...</td>\n",
       "      <td>[middling_series, series_ends, ends_low, low_p...</td>\n",
       "      <td>[middling_series_ends_low, series_ends_low_poi...</td>\n",
       "      <td>neg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>490</td>\n",
       "      <td>3</td>\n",
       "      <td>OK but not I'm not Wowed!\\n== Harry Potter an...</td>\n",
       "      <td>but not not wowed harry potter and the deathl...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>[but, not, not, wowed, harry, potter, and, the...</td>\n",
       "      <td>[but, wowed, harry, potter, deathly, hallows, ...</td>\n",
       "      <td>[but, wow, harri, potter, deathli, hallow, par...</td>\n",
       "      <td>[wowed, improvement, great, horrible, good, gr...</td>\n",
       "      <td>[but_not, not_not, not_wowed, wowed_harry, har...</td>\n",
       "      <td>[but_wowed, wowed_harry, harry_potter, potter_...</td>\n",
       "      <td>[but_not_not_wowed, not_not_wowed_harry, not_w...</td>\n",
       "      <td>neg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>491</td>\n",
       "      <td>3</td>\n",
       "      <td>Its OK, not great.\\n== Well I watched this la...</td>\n",
       "      <td>dvd its not great well watched this last nigh...</td>\n",
       "      <td>0.006944</td>\n",
       "      <td>[dvd, its, not, great, well, watched, this, la...</td>\n",
       "      <td>[dvd, its, great, well, watched, last, night, ...</td>\n",
       "      <td>[dvd, it, great, well, watch, last, night, lef...</td>\n",
       "      <td>[great, well, feeling, like, well, bothered, h...</td>\n",
       "      <td>[dvd_its, its_not, not_great, great_well, well...</td>\n",
       "      <td>[dvd_its, its_great, great_well, well_watched,...</td>\n",
       "      <td>[dvd_its_not_great, its_not_great_well, not_gr...</td>\n",
       "      <td>neg</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    rating                                             review  \\\n",
       "487      3   Deathly Disappointing\\n== Time for your OWL m...   \n",
       "488      3   Nothing but disappointing.\\n== It's been 3 ye...   \n",
       "489      3   A middling series ends on a low-point.\\n== I'...   \n",
       "490      3   OK but not I'm not Wowed!\\n== Harry Potter an...   \n",
       "491      3   Its OK, not great.\\n== Well I watched this la...   \n",
       "\n",
       "                                            new_review  percent_cap  \\\n",
       "487   owl rofle omg deathly disappointing time for ...     0.005435   \n",
       "488   nothing but disappointing been years now sinc...     0.000000   \n",
       "489   middling series ends low point will admit tha...     0.000000   \n",
       "490   but not not wowed harry potter and the deathl...     0.000000   \n",
       "491   dvd its not great well watched this last nigh...     0.006944   \n",
       "\n",
       "                                       review_tokenize  \\\n",
       "487  [owl, rofle, omg, deathly, disappointing, time...   \n",
       "488  [nothing, but, disappointing, been, years, now...   \n",
       "489  [middling, series, ends, low, point, will, adm...   \n",
       "490  [but, not, not, wowed, harry, potter, and, the...   \n",
       "491  [dvd, its, not, great, well, watched, this, la...   \n",
       "\n",
       "                                     stopwords_removed  \\\n",
       "487  [owl, rofle, omg, deathly, disappointing, time...   \n",
       "488  [nothing, but, disappointing, been, years, now...   \n",
       "489  [middling, series, ends, low, point, will, adm...   \n",
       "490  [but, wowed, harry, potter, deathly, hallows, ...   \n",
       "491  [dvd, its, great, well, watched, last, night, ...   \n",
       "\n",
       "                                               stemmed  \\\n",
       "487  [owl, rofl, omg, deathli, disappoint, time, ow...   \n",
       "488  [noth, but, disappoint, been, year, now, sinc,...   \n",
       "489  [middl, seri, end, low, point, will, admit, ne...   \n",
       "490  [but, wow, harri, potter, deathli, hallow, par...   \n",
       "491  [dvd, it, great, well, watch, last, night, lef...   \n",
       "\n",
       "                                     sentiment_reduced  \\\n",
       "487  [disappointing, dreadful, poor, better, luck, ...   \n",
       "488  [disappointing, strong, mess, ironic, shocked,...   \n",
       "489  [low, admit, liked, emotional, improvement, li...   \n",
       "490  [wowed, improvement, great, horrible, good, gr...   \n",
       "491  [great, well, feeling, like, well, bothered, h...   \n",
       "\n",
       "                                               bigrams  \\\n",
       "487  [owl_rofle, rofle_omg, omg_deathly, deathly_di...   \n",
       "488  [nothing_but, but_disappointing, disappointing...   \n",
       "489  [middling_series, series_ends, ends_low, low_p...   \n",
       "490  [but_not, not_not, not_wowed, wowed_harry, har...   \n",
       "491  [dvd_its, its_not, not_great, great_well, well...   \n",
       "\n",
       "                             bigrams_stopwords_removed  \\\n",
       "487  [owl_rofle, rofle_omg, omg_deathly, deathly_di...   \n",
       "488  [nothing_but, but_disappointing, disappointing...   \n",
       "489  [middling_series, series_ends, ends_low, low_p...   \n",
       "490  [but_wowed, wowed_harry, harry_potter, potter_...   \n",
       "491  [dvd_its, its_great, great_well, well_watched,...   \n",
       "\n",
       "                                             fourgrams label  \n",
       "487  [owl_rofle_omg_deathly, rofle_omg_deathly_disa...   neg  \n",
       "488  [nothing_but_disappointing_been, but_disappoin...   neg  \n",
       "489  [middling_series_ends_low, series_ends_low_poi...   neg  \n",
       "490  [but_not_not_wowed, not_not_wowed_harry, not_w...   neg  \n",
       "491  [dvd_its_not_great, its_not_great_well, not_gr...   neg  "
      ]
     },
     "execution_count": 426,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "combined_df.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 427,
   "metadata": {},
   "outputs": [],
   "source": [
    "#I need to reset the index \n",
    "combined_df.reset_index(inplace = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 183,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Ready to see if I can predict the review sentiment \n",
    "no_stopwords_df = pd.DataFrame() \n",
    "tokenized_df = pd.DataFrame()\n",
    "stemmed_df = pd.DataFrame()\n",
    "sentiment_reduced_df = pd.DataFrame()\n",
    "no_stopwords_df[\"review\"] = combined_df[\"stopwords_removed\"].copy()\n",
    "tokenized_df[\"review\"] = combined_df[\"review_tokenize\"].copy()\n",
    "stemmed_df[\"review\"] = combined_df[\"stemmed\"].copy()\n",
    "sentiment_reduced_df[\"review\"] = combined_df[\"sentiment_reduced\"].copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 184,
   "metadata": {},
   "outputs": [],
   "source": [
    "no_stopwords_df[\"label\"] = combined_df[\"label\"]\n",
    "tokenized_df[\"label\"] = combined_df[\"label\"]\n",
    "stemmed_df[\"label\"] = combined_df[\"label\"]\n",
    "sentiment_reduced_df[\"label\"] = combined_df[\"label\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 185,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>review</th>\n",
       "      <th>label</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>[magic, comes, life, once, upon, time, long, a...</td>\n",
       "      <td>pos</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>[pure, magic, delight, those, ages, seen, seve...</td>\n",
       "      <td>pos</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>[ian, enchantment, trapdoor, imaginary, world,...</td>\n",
       "      <td>pos</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>[harry, potter, sorcerer, stone, unforgettable...</td>\n",
       "      <td>pos</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>[great, journey, magic, world, watch, again, b...</td>\n",
       "      <td>pos</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                              review label\n",
       "0  [magic, comes, life, once, upon, time, long, a...   pos\n",
       "1  [pure, magic, delight, those, ages, seen, seve...   pos\n",
       "2  [ian, enchantment, trapdoor, imaginary, world,...   pos\n",
       "3  [harry, potter, sorcerer, stone, unforgettable...   pos\n",
       "4  [great, journey, magic, world, watch, again, b...   pos"
      ]
     },
     "execution_count": 185,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "no_stopwords_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 186,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>review</th>\n",
       "      <th>label</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>[the, magic, comes, life, once, upon, time, an...</td>\n",
       "      <td>pos</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>[pure, magic, this, movie, delight, for, those...</td>\n",
       "      <td>pos</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>[ian, enchantment, trapdoor, imaginary, world,...</td>\n",
       "      <td>pos</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>[harry, potter, and, the, sorcerer, stone, unf...</td>\n",
       "      <td>pos</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>[great, journey, the, magic, world, watch, thi...</td>\n",
       "      <td>pos</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                              review label\n",
       "0  [the, magic, comes, life, once, upon, time, an...   pos\n",
       "1  [pure, magic, this, movie, delight, for, those...   pos\n",
       "2  [ian, enchantment, trapdoor, imaginary, world,...   pos\n",
       "3  [harry, potter, and, the, sorcerer, stone, unf...   pos\n",
       "4  [great, journey, the, magic, world, watch, thi...   pos"
      ]
     },
     "execution_count": 186,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tokenized_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 187,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>review</th>\n",
       "      <th>label</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>[magic, come, life, onc, upon, time, long, ago...</td>\n",
       "      <td>pos</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>[pure, magic, delight, those, age, seen, sever...</td>\n",
       "      <td>pos</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>[ian, enchant, trapdoor, imaginari, world, tra...</td>\n",
       "      <td>pos</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>[harri, potter, sorcer, stone, unforgett, star...</td>\n",
       "      <td>pos</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>[great, journey, magic, world, watch, again, b...</td>\n",
       "      <td>pos</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                              review label\n",
       "0  [magic, come, life, onc, upon, time, long, ago...   pos\n",
       "1  [pure, magic, delight, those, age, seen, sever...   pos\n",
       "2  [ian, enchant, trapdoor, imaginari, world, tra...   pos\n",
       "3  [harri, potter, sorcer, stone, unforgett, star...   pos\n",
       "4  [great, journey, magic, world, watch, again, b...   pos"
      ]
     },
     "execution_count": 187,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stemmed_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 188,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>review</th>\n",
       "      <th>label</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>[beloved, thanks, novel, well, witch, strange,...</td>\n",
       "      <td>pos</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>[delight, enchanted, outstanding, special, del...</td>\n",
       "      <td>pos</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>[trap, passion, like, missing, hard, wishes, l...</td>\n",
       "      <td>pos</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>[fantastic]</td>\n",
       "      <td>pos</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>[great, amazing, miss, good, friendship, brave...</td>\n",
       "      <td>pos</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                              review label\n",
       "0  [beloved, thanks, novel, well, witch, strange,...   pos\n",
       "1  [delight, enchanted, outstanding, special, del...   pos\n",
       "2  [trap, passion, like, missing, hard, wishes, l...   pos\n",
       "3                                        [fantastic]   pos\n",
       "4  [great, amazing, miss, good, friendship, brave...   pos"
      ]
     },
     "execution_count": 188,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sentiment_reduced_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 189,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Now I am going to create my bag of words for the tokenized reviews \n",
    "#First, I must remove the labels that I just added... \n",
    "tokenized_label = tokenized_df[\"label\"]\n",
    "tokenized_df.drop(\"label\", axis = 1, inplace = True)\n",
    "no_stopwords_label = no_stopwords_df[\"label\"]\n",
    "no_stopwords_df.drop(\"label\", axis = 1, inplace = True)\n",
    "stemmed_label = stemmed_df[\"label\"]\n",
    "stemmed_df.drop(\"label\", axis = 1, inplace = True)\n",
    "sentiment_label = sentiment_reduced_df[\"label\"]\n",
    "sentiment_reduced_df.drop(\"label\", axis = 1, inplace = True)\n",
    "\n",
    "tokenized_bow = bag_of_words(tokenized_df, \"review\")\n",
    "no_stopwords_bow = bag_of_words(no_stopwords_df, \"review\")\n",
    "stemmed_bow = bag_of_words(stemmed_df, \"review\")\n",
    "sentiment_reduced_bow = bag_of_words(sentiment_reduced_df, \"review\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 190,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Counter({'harry': 1,\n",
       "         'potter': 1,\n",
       "         'and': 3,\n",
       "         'the': 4,\n",
       "         'sorcerer': 1,\n",
       "         'stone': 1,\n",
       "         'unforgettable': 1,\n",
       "         'start': 1,\n",
       "         'fantastic': 1,\n",
       "         'film': 1,\n",
       "         'series': 1,\n",
       "         'career': 1,\n",
       "         'impeccable': 1,\n",
       "         'emma': 1,\n",
       "         'watson': 1,\n",
       "         'other': 1,\n",
       "         'kids': 1})"
      ]
     },
     "execution_count": 190,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tokenized_bow[3]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 191,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Counter({'harry': 1,\n",
       "         'potter': 1,\n",
       "         'sorcerer': 1,\n",
       "         'stone': 1,\n",
       "         'unforgettable': 1,\n",
       "         'start': 1,\n",
       "         'fantastic': 1,\n",
       "         'series': 1,\n",
       "         'career': 1,\n",
       "         'impeccable': 1,\n",
       "         'emma': 1,\n",
       "         'watson': 1,\n",
       "         'other': 1,\n",
       "         'kids': 1})"
      ]
     },
     "execution_count": 191,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "no_stopwords_bow[3]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 192,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Counter({'harri': 1,\n",
       "         'potter': 1,\n",
       "         'sorcer': 1,\n",
       "         'stone': 1,\n",
       "         'unforgett': 1,\n",
       "         'start': 1,\n",
       "         'fantast': 1,\n",
       "         'seri': 1,\n",
       "         'career': 1,\n",
       "         'impecc': 1,\n",
       "         'emma': 1,\n",
       "         'watson': 1,\n",
       "         'other': 1,\n",
       "         'kid': 1})"
      ]
     },
     "execution_count": 192,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stemmed_bow[3]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 193,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Counter({'fantastic': 1})"
      ]
     },
     "execution_count": 193,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sentiment_reduced_bow[3]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 194,
   "metadata": {},
   "outputs": [],
   "source": [
    "tokenized_df = bow_to_df(tokenized_bow)\n",
    "no_stopwords_df = bow_to_df(no_stopwords_bow)\n",
    "stemmed_df = bow_to_df(stemmed_bow)\n",
    "sentiment_reduced_df = bow_to_df(sentiment_reduced_bow)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 195,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>the</th>\n",
       "      <th>magic</th>\n",
       "      <th>comes</th>\n",
       "      <th>life</th>\n",
       "      <th>once</th>\n",
       "      <th>upon</th>\n",
       "      <th>time</th>\n",
       "      <th>and</th>\n",
       "      <th>not</th>\n",
       "      <th>that</th>\n",
       "      <th>...</th>\n",
       "      <th>peaks</th>\n",
       "      <th>payoffs</th>\n",
       "      <th>footnotes</th>\n",
       "      <th>wowed</th>\n",
       "      <th>lashed</th>\n",
       "      <th>sellout</th>\n",
       "      <th>wash</th>\n",
       "      <th>hairs</th>\n",
       "      <th>tingling</th>\n",
       "      <th>lump</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>59</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>47</td>\n",
       "      <td>5</td>\n",
       "      <td>18</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>30</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 12982 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   the  magic  comes  life  once  upon  time  and  not  that  ...  peaks  \\\n",
       "0   59      8      1     5     1     2     2   47    5    18  ...      0   \n",
       "1    8      2      0     0     0     0     1    6    0     0  ...      0   \n",
       "2   30      0      0     5     0     0     1    7    1     2  ...      0   \n",
       "3    4      0      0     0     0     0     0    3    0     0  ...      0   \n",
       "4    5      2      0     0     0     0     0    1    1     0  ...      0   \n",
       "\n",
       "   payoffs  footnotes  wowed  lashed  sellout  wash  hairs  tingling  lump  \n",
       "0        0          0      0       0        0     0      0         0     0  \n",
       "1        0          0      0       0        0     0      0         0     0  \n",
       "2        0          0      0       0        0     0      0         0     0  \n",
       "3        0          0      0       0        0     0      0         0     0  \n",
       "4        0          0      0       0        0     0      0         0     0  \n",
       "\n",
       "[5 rows x 12982 columns]"
      ]
     },
     "execution_count": 195,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tokenized_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 196,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>magic</th>\n",
       "      <th>comes</th>\n",
       "      <th>life</th>\n",
       "      <th>once</th>\n",
       "      <th>upon</th>\n",
       "      <th>time</th>\n",
       "      <th>long</th>\n",
       "      <th>ago</th>\n",
       "      <th>vivid</th>\n",
       "      <th>fertile</th>\n",
       "      <th>...</th>\n",
       "      <th>peaks</th>\n",
       "      <th>payoffs</th>\n",
       "      <th>footnotes</th>\n",
       "      <th>wowed</th>\n",
       "      <th>lashed</th>\n",
       "      <th>sellout</th>\n",
       "      <th>wash</th>\n",
       "      <th>hairs</th>\n",
       "      <th>tingling</th>\n",
       "      <th>lump</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 12957 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   magic  comes  life  once  upon  time  long  ago  vivid  fertile  ...  \\\n",
       "0      8      1     5     1     2     2     4    1      1        1  ...   \n",
       "1      2      0     0     0     0     1     0    0      0        0  ...   \n",
       "2      0      0     5     0     0     1     0    0      0        0  ...   \n",
       "3      0      0     0     0     0     0     0    0      0        0  ...   \n",
       "4      2      0     0     0     0     0     0    0      0        0  ...   \n",
       "\n",
       "   peaks  payoffs  footnotes  wowed  lashed  sellout  wash  hairs  tingling  \\\n",
       "0      0        0          0      0       0        0     0      0         0   \n",
       "1      0        0          0      0       0        0     0      0         0   \n",
       "2      0        0          0      0       0        0     0      0         0   \n",
       "3      0        0          0      0       0        0     0      0         0   \n",
       "4      0        0          0      0       0        0     0      0         0   \n",
       "\n",
       "   lump  \n",
       "0     0  \n",
       "1     0  \n",
       "2     0  \n",
       "3     0  \n",
       "4     0  \n",
       "\n",
       "[5 rows x 12957 columns]"
      ]
     },
     "execution_count": 196,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "no_stopwords_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 197,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>magic</th>\n",
       "      <th>come</th>\n",
       "      <th>life</th>\n",
       "      <th>onc</th>\n",
       "      <th>upon</th>\n",
       "      <th>time</th>\n",
       "      <th>long</th>\n",
       "      <th>ago</th>\n",
       "      <th>vivid</th>\n",
       "      <th>fertil</th>\n",
       "      <th>...</th>\n",
       "      <th>batchmat</th>\n",
       "      <th>dehuman</th>\n",
       "      <th>jubil</th>\n",
       "      <th>voledomort</th>\n",
       "      <th>microsoft</th>\n",
       "      <th>powerpoint</th>\n",
       "      <th>waysid</th>\n",
       "      <th>lash</th>\n",
       "      <th>sellout</th>\n",
       "      <th>tingl</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 8589 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   magic  come  life  onc  upon  time  long  ago  vivid  fertil  ...  \\\n",
       "0      8     1     5    1     2     4     4    1      1       1  ...   \n",
       "1      2     0     0    0     0     2     0    0      0       0  ...   \n",
       "2      0     0     5    0     0     2     0    0      0       0  ...   \n",
       "3      0     0     0    0     0     0     0    0      0       0  ...   \n",
       "4      2     0     0    0     0     0     0    0      0       0  ...   \n",
       "\n",
       "   batchmat  dehuman  jubil  voledomort  microsoft  powerpoint  waysid  lash  \\\n",
       "0         0        0      0           0          0           0       0     0   \n",
       "1         0        0      0           0          0           0       0     0   \n",
       "2         0        0      0           0          0           0       0     0   \n",
       "3         0        0      0           0          0           0       0     0   \n",
       "4         0        0      0           0          0           0       0     0   \n",
       "\n",
       "   sellout  tingl  \n",
       "0        0      0  \n",
       "1        0      0  \n",
       "2        0      0  \n",
       "3        0      0  \n",
       "4        0      0  \n",
       "\n",
       "[5 rows x 8589 columns]"
      ]
     },
     "execution_count": 197,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stemmed_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 198,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>beloved</th>\n",
       "      <th>thanks</th>\n",
       "      <th>novel</th>\n",
       "      <th>well</th>\n",
       "      <th>witch</th>\n",
       "      <th>strange</th>\n",
       "      <th>perfect</th>\n",
       "      <th>gift</th>\n",
       "      <th>alive</th>\n",
       "      <th>forget</th>\n",
       "      <th>...</th>\n",
       "      <th>remorse</th>\n",
       "      <th>bitch</th>\n",
       "      <th>innovation</th>\n",
       "      <th>carelessly</th>\n",
       "      <th>elation</th>\n",
       "      <th>ecstasy</th>\n",
       "      <th>impressively</th>\n",
       "      <th>dehumanized</th>\n",
       "      <th>mourning</th>\n",
       "      <th>wowed</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 2160 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   beloved  thanks  novel  well  witch  strange  perfect  gift  alive  forget  \\\n",
       "0        2       1      2     3      1        1        3     2      1       2   \n",
       "1        0       0      0     0      0        0        0     0      0       0   \n",
       "2        0       0      1     1      0        0        0     0      0       0   \n",
       "3        0       0      0     0      0        0        0     0      0       0   \n",
       "4        0       0      0     0      0        0        0     0      0       0   \n",
       "\n",
       "   ...  remorse  bitch  innovation  carelessly  elation  ecstasy  \\\n",
       "0  ...        0      0           0           0        0        0   \n",
       "1  ...        0      0           0           0        0        0   \n",
       "2  ...        0      0           0           0        0        0   \n",
       "3  ...        0      0           0           0        0        0   \n",
       "4  ...        0      0           0           0        0        0   \n",
       "\n",
       "   impressively  dehumanized  mourning  wowed  \n",
       "0             0            0         0      0  \n",
       "1             0            0         0      0  \n",
       "2             0            0         0      0  \n",
       "3             0            0         0      0  \n",
       "4             0            0         0      0  \n",
       "\n",
       "[5 rows x 2160 columns]"
      ]
     },
     "execution_count": 198,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sentiment_reduced_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 199,
   "metadata": {},
   "outputs": [],
   "source": [
    "#normalizing the dfs\n",
    "#Now, I need to normalize the dataframe \n",
    "tokenized_df = normalize_df(tokenized_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 200,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>the</th>\n",
       "      <th>magic</th>\n",
       "      <th>comes</th>\n",
       "      <th>life</th>\n",
       "      <th>once</th>\n",
       "      <th>upon</th>\n",
       "      <th>time</th>\n",
       "      <th>and</th>\n",
       "      <th>not</th>\n",
       "      <th>that</th>\n",
       "      <th>...</th>\n",
       "      <th>peaks</th>\n",
       "      <th>payoffs</th>\n",
       "      <th>footnotes</th>\n",
       "      <th>wowed</th>\n",
       "      <th>lashed</th>\n",
       "      <th>sellout</th>\n",
       "      <th>wash</th>\n",
       "      <th>hairs</th>\n",
       "      <th>tingling</th>\n",
       "      <th>lump</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>0.073201</td>\n",
       "      <td>0.009926</td>\n",
       "      <td>0.001241</td>\n",
       "      <td>0.006203</td>\n",
       "      <td>0.001241</td>\n",
       "      <td>0.002481</td>\n",
       "      <td>0.002481</td>\n",
       "      <td>0.058313</td>\n",
       "      <td>0.006203</td>\n",
       "      <td>0.022333</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>0.097561</td>\n",
       "      <td>0.024390</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.012195</td>\n",
       "      <td>0.073171</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>0.083333</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.013889</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.002778</td>\n",
       "      <td>0.019444</td>\n",
       "      <td>0.002778</td>\n",
       "      <td>0.005556</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>0.181818</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.136364</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>0.080645</td>\n",
       "      <td>0.032258</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.016129</td>\n",
       "      <td>0.016129</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 12982 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        the     magic     comes      life      once      upon      time  \\\n",
       "0  0.073201  0.009926  0.001241  0.006203  0.001241  0.002481  0.002481   \n",
       "1  0.097561  0.024390  0.000000  0.000000  0.000000  0.000000  0.012195   \n",
       "2  0.083333  0.000000  0.000000  0.013889  0.000000  0.000000  0.002778   \n",
       "3  0.181818  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "4  0.080645  0.032258  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "\n",
       "        and       not      that  ...  peaks  payoffs  footnotes  wowed  \\\n",
       "0  0.058313  0.006203  0.022333  ...    0.0      0.0        0.0    0.0   \n",
       "1  0.073171  0.000000  0.000000  ...    0.0      0.0        0.0    0.0   \n",
       "2  0.019444  0.002778  0.005556  ...    0.0      0.0        0.0    0.0   \n",
       "3  0.136364  0.000000  0.000000  ...    0.0      0.0        0.0    0.0   \n",
       "4  0.016129  0.016129  0.000000  ...    0.0      0.0        0.0    0.0   \n",
       "\n",
       "   lashed  sellout  wash  hairs  tingling  lump  \n",
       "0     0.0      0.0   0.0    0.0       0.0   0.0  \n",
       "1     0.0      0.0   0.0    0.0       0.0   0.0  \n",
       "2     0.0      0.0   0.0    0.0       0.0   0.0  \n",
       "3     0.0      0.0   0.0    0.0       0.0   0.0  \n",
       "4     0.0      0.0   0.0    0.0       0.0   0.0  \n",
       "\n",
       "[5 rows x 12982 columns]"
      ]
     },
     "execution_count": 200,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tokenized_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 428,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(984, 12981)"
      ]
     },
     "execution_count": 428,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tokenized_df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 201,
   "metadata": {},
   "outputs": [],
   "source": [
    "no_stopwords_df = normalize_df(no_stopwords_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 202,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>magic</th>\n",
       "      <th>comes</th>\n",
       "      <th>life</th>\n",
       "      <th>once</th>\n",
       "      <th>upon</th>\n",
       "      <th>time</th>\n",
       "      <th>long</th>\n",
       "      <th>ago</th>\n",
       "      <th>vivid</th>\n",
       "      <th>fertile</th>\n",
       "      <th>...</th>\n",
       "      <th>peaks</th>\n",
       "      <th>payoffs</th>\n",
       "      <th>footnotes</th>\n",
       "      <th>wowed</th>\n",
       "      <th>lashed</th>\n",
       "      <th>sellout</th>\n",
       "      <th>wash</th>\n",
       "      <th>hairs</th>\n",
       "      <th>tingling</th>\n",
       "      <th>lump</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>0.013986</td>\n",
       "      <td>0.001748</td>\n",
       "      <td>0.008741</td>\n",
       "      <td>0.001748</td>\n",
       "      <td>0.003497</td>\n",
       "      <td>0.003497</td>\n",
       "      <td>0.006993</td>\n",
       "      <td>0.001748</td>\n",
       "      <td>0.001748</td>\n",
       "      <td>0.001748</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>0.034483</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.017241</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.018248</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.003650</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>0.044444</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 12957 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      magic     comes      life      once      upon      time      long  \\\n",
       "0  0.013986  0.001748  0.008741  0.001748  0.003497  0.003497  0.006993   \n",
       "1  0.034483  0.000000  0.000000  0.000000  0.000000  0.017241  0.000000   \n",
       "2  0.000000  0.000000  0.018248  0.000000  0.000000  0.003650  0.000000   \n",
       "3  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "4  0.044444  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "\n",
       "        ago     vivid   fertile  ...  peaks  payoffs  footnotes  wowed  \\\n",
       "0  0.001748  0.001748  0.001748  ...    0.0      0.0        0.0    0.0   \n",
       "1  0.000000  0.000000  0.000000  ...    0.0      0.0        0.0    0.0   \n",
       "2  0.000000  0.000000  0.000000  ...    0.0      0.0        0.0    0.0   \n",
       "3  0.000000  0.000000  0.000000  ...    0.0      0.0        0.0    0.0   \n",
       "4  0.000000  0.000000  0.000000  ...    0.0      0.0        0.0    0.0   \n",
       "\n",
       "   lashed  sellout  wash  hairs  tingling  lump  \n",
       "0     0.0      0.0   0.0    0.0       0.0   0.0  \n",
       "1     0.0      0.0   0.0    0.0       0.0   0.0  \n",
       "2     0.0      0.0   0.0    0.0       0.0   0.0  \n",
       "3     0.0      0.0   0.0    0.0       0.0   0.0  \n",
       "4     0.0      0.0   0.0    0.0       0.0   0.0  \n",
       "\n",
       "[5 rows x 12957 columns]"
      ]
     },
     "execution_count": 202,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "no_stopwords_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 203,
   "metadata": {},
   "outputs": [],
   "source": [
    "stemmed_df = normalize_df(stemmed_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 204,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>magic</th>\n",
       "      <th>come</th>\n",
       "      <th>life</th>\n",
       "      <th>onc</th>\n",
       "      <th>upon</th>\n",
       "      <th>time</th>\n",
       "      <th>long</th>\n",
       "      <th>ago</th>\n",
       "      <th>vivid</th>\n",
       "      <th>fertil</th>\n",
       "      <th>...</th>\n",
       "      <th>batchmat</th>\n",
       "      <th>dehuman</th>\n",
       "      <th>jubil</th>\n",
       "      <th>voledomort</th>\n",
       "      <th>microsoft</th>\n",
       "      <th>powerpoint</th>\n",
       "      <th>waysid</th>\n",
       "      <th>lash</th>\n",
       "      <th>sellout</th>\n",
       "      <th>tingl</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>0.013986</td>\n",
       "      <td>0.001748</td>\n",
       "      <td>0.008741</td>\n",
       "      <td>0.001748</td>\n",
       "      <td>0.003497</td>\n",
       "      <td>0.006993</td>\n",
       "      <td>0.006993</td>\n",
       "      <td>0.001748</td>\n",
       "      <td>0.001748</td>\n",
       "      <td>0.001748</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>0.034483</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.034483</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.018248</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.007299</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>0.044444</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 8589 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      magic      come      life       onc      upon      time      long  \\\n",
       "0  0.013986  0.001748  0.008741  0.001748  0.003497  0.006993  0.006993   \n",
       "1  0.034483  0.000000  0.000000  0.000000  0.000000  0.034483  0.000000   \n",
       "2  0.000000  0.000000  0.018248  0.000000  0.000000  0.007299  0.000000   \n",
       "3  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "4  0.044444  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "\n",
       "        ago     vivid    fertil  ...  batchmat  dehuman  jubil  voledomort  \\\n",
       "0  0.001748  0.001748  0.001748  ...       0.0      0.0    0.0         0.0   \n",
       "1  0.000000  0.000000  0.000000  ...       0.0      0.0    0.0         0.0   \n",
       "2  0.000000  0.000000  0.000000  ...       0.0      0.0    0.0         0.0   \n",
       "3  0.000000  0.000000  0.000000  ...       0.0      0.0    0.0         0.0   \n",
       "4  0.000000  0.000000  0.000000  ...       0.0      0.0    0.0         0.0   \n",
       "\n",
       "   microsoft  powerpoint  waysid  lash  sellout  tingl  \n",
       "0        0.0         0.0     0.0   0.0      0.0    0.0  \n",
       "1        0.0         0.0     0.0   0.0      0.0    0.0  \n",
       "2        0.0         0.0     0.0   0.0      0.0    0.0  \n",
       "3        0.0         0.0     0.0   0.0      0.0    0.0  \n",
       "4        0.0         0.0     0.0   0.0      0.0    0.0  \n",
       "\n",
       "[5 rows x 8589 columns]"
      ]
     },
     "execution_count": 204,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stemmed_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 205,
   "metadata": {},
   "outputs": [],
   "source": [
    "sentiment_reduced_df = normalize_df(sentiment_reduced_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 206,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>beloved</th>\n",
       "      <th>thanks</th>\n",
       "      <th>novel</th>\n",
       "      <th>well</th>\n",
       "      <th>witch</th>\n",
       "      <th>strange</th>\n",
       "      <th>perfect</th>\n",
       "      <th>gift</th>\n",
       "      <th>alive</th>\n",
       "      <th>forget</th>\n",
       "      <th>...</th>\n",
       "      <th>bitch</th>\n",
       "      <th>innovation</th>\n",
       "      <th>carelessly</th>\n",
       "      <th>elation</th>\n",
       "      <th>ecstasy</th>\n",
       "      <th>impressively</th>\n",
       "      <th>dehumanized</th>\n",
       "      <th>mourning</th>\n",
       "      <th>wowed</th>\n",
       "      <th>total</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>0.03125</td>\n",
       "      <td>0.015625</td>\n",
       "      <td>0.031250</td>\n",
       "      <td>0.046875</td>\n",
       "      <td>0.015625</td>\n",
       "      <td>0.015625</td>\n",
       "      <td>0.046875</td>\n",
       "      <td>0.03125</td>\n",
       "      <td>0.015625</td>\n",
       "      <td>0.03125</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.029412</td>\n",
       "      <td>0.029412</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 2161 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   beloved    thanks     novel      well     witch   strange   perfect  \\\n",
       "0  0.03125  0.015625  0.031250  0.046875  0.015625  0.015625  0.046875   \n",
       "1  0.00000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "2  0.00000  0.000000  0.029412  0.029412  0.000000  0.000000  0.000000   \n",
       "3  0.00000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "4  0.00000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "\n",
       "      gift     alive   forget  ...  bitch  innovation  carelessly  elation  \\\n",
       "0  0.03125  0.015625  0.03125  ...    0.0         0.0         0.0      0.0   \n",
       "1  0.00000  0.000000  0.00000  ...    0.0         0.0         0.0      0.0   \n",
       "2  0.00000  0.000000  0.00000  ...    0.0         0.0         0.0      0.0   \n",
       "3  0.00000  0.000000  0.00000  ...    0.0         0.0         0.0      0.0   \n",
       "4  0.00000  0.000000  0.00000  ...    0.0         0.0         0.0      0.0   \n",
       "\n",
       "   ecstasy  impressively  dehumanized  mourning  wowed  total  \n",
       "0      0.0           0.0          0.0       0.0    0.0     64  \n",
       "1      0.0           0.0          0.0       0.0    0.0     10  \n",
       "2      0.0           0.0          0.0       0.0    0.0     34  \n",
       "3      0.0           0.0          0.0       0.0    0.0      1  \n",
       "4      0.0           0.0          0.0       0.0    0.0      8  \n",
       "\n",
       "[5 rows x 2161 columns]"
      ]
     },
     "execution_count": 206,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sentiment_reduced_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 207,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Now I need to remove the total column for each df \n",
    "tokenized_df.drop(\"total\", axis = 1, inplace = True)\n",
    "no_stopwords_df.drop(\"total\", axis = 1, inplace = True)\n",
    "stemmed_df.drop(\"total\", axis = 1, inplace = True)\n",
    "sentiment_reduced_df.drop(\"total\", axis = 1, inplace = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 208,
   "metadata": {},
   "outputs": [],
   "source": [
    "sentiment_reduced_df = sentiment_reduced_df.fillna(0).astype(int)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 209,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Creating a testing and training df for the normalized dfs \n",
    "tokenize_test_train = tokenized_df.copy() \n",
    "no_stopwords_test_train = no_stopwords_df.copy()\n",
    "stemmed_test_train = stemmed_df.copy() \n",
    "sentiment_test_train = sentiment_reduced_df.copy()\n",
    "\n",
    "test_train_label = combined_df[\"label\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'test_train_label' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-1-a83a52027865>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mtest_train_label\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m: name 'test_train_label' is not defined"
     ]
    }
   ],
   "source": [
    "test_train_label"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 210,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Creating 4 df: 1: the training df with label removed, 2: the testing df with label removed, 3: the training label, 4: testing label\n",
    "tokenized_train, tokenized_test, tokenized_train_label, tokenized_test_label = train_test_split(tokenize_test_train, test_train_label, test_size = .3, random_state = 9)\n",
    "no_stopwords_train, no_stopwords_test, no_stopwords_train_label, no_stopwords_test_label = train_test_split(no_stopwords_test_train, test_train_label, test_size = .3, random_state = 9)\n",
    "stemmed_train, stemmed_test, stemmed_train_label, stemmed_test_label = train_test_split(stemmed_test_train, test_train_label, test_size = .3, random_state = 9)\n",
    "sentiment_train, sentiment_test, sentiment_train_label, sentiment_test_label = train_test_split(sentiment_test_train, test_train_label, test_size = .3, random_state = 9)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 211,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Counter({'pos': 148, 'neg': 148})\n"
     ]
    }
   ],
   "source": [
    "#Getting a count of positive and negative opinions in the test label \n",
    "print(Counter(tokenized_test_label))\n",
    "#There are roughly the same number of positive and negative reviews in the test and train set. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 212,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The accuracy is 0.8614864864864865\n",
      "[[132  16]\n",
      " [ 25 123]]\n",
      "The number of true negatives is:  132\n",
      "The number of false positives is:  16\n",
      "The number of false negatives is:  25\n",
      "The number of true positives is:  123\n"
     ]
    }
   ],
   "source": [
    "\n",
    "#Naive Bayes attempt Multinomial \n",
    "clf = MultinomialNB()\n",
    "clf.fit(tokenized_train, tokenized_train_label)\n",
    "test_predicted = clf.predict(tokenized_test)\n",
    "#Getting the accuracy for naive bayes \n",
    "accuracy = accuracy_score(tokenized_test_label, test_predicted, normalize = True)\n",
    "print(\"The accuracy is\", accuracy)\n",
    "cm = confusion_matrix(tokenized_test_label, test_predicted)\n",
    "# confusion_matrix_graph(cm, accuracy, \"NB Multinomial Tokenized\")\n",
    "tn, fp, fn, tp = cm.ravel()\n",
    "print(cm)\n",
    "print(\"The number of true negatives is: \", tn)\n",
    "print(\"The number of false positives is: \", fp)\n",
    "print(\"The number of false negatives is: \", fn)\n",
    "print(\"The number of true positives is: \", tp)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 213,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The accuracy is 0.8648648648648649\n",
      "[[132  16]\n",
      " [ 24 124]]\n",
      "The number of true negatives is:  132\n",
      "The number of false positives is:  16\n",
      "The number of false negatives is:  24\n",
      "The number of true positives is:  124\n"
     ]
    }
   ],
   "source": [
    "#Naive Bayes attempt Multinomial \n",
    "clf = MultinomialNB()\n",
    "clf.fit(no_stopwords_train, no_stopwords_train_label)\n",
    "test_predicted = clf.predict(no_stopwords_test)\n",
    "#Getting the accuracy for naive bayes \n",
    "accuracy = accuracy_score(no_stopwords_test_label, test_predicted, normalize = True)\n",
    "print(\"The accuracy is\", accuracy)\n",
    "cm = confusion_matrix(no_stopwords_test_label, test_predicted)\n",
    "# confusion_matrix_graph(cm, accuracy, \"NB Multinomial No Stopwords\")\n",
    "tn, fp, fn, tp = cm.ravel()\n",
    "print(cm)\n",
    "print(\"The number of true negatives is: \", tn)\n",
    "print(\"The number of false positives is: \", fp)\n",
    "print(\"The number of false negatives is: \", fn)\n",
    "print(\"The number of true positives is: \", tp)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 214,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The accuracy is 0.8513513513513513\n",
      "[[131  17]\n",
      " [ 27 121]]\n",
      "The number of true negatives is:  131\n",
      "The number of false positives is:  17\n",
      "The number of false negatives is:  27\n",
      "The number of true positives is:  121\n"
     ]
    }
   ],
   "source": [
    "#Naive Bayes attempt Multinomial \n",
    "clf = MultinomialNB()\n",
    "clf.fit(stemmed_train, stemmed_train_label)\n",
    "test_predicted = clf.predict(stemmed_test)\n",
    "#Getting the accuracy for naive bayes \n",
    "accuracy = accuracy_score(stemmed_test_label, test_predicted, normalize = True)\n",
    "print(\"The accuracy is\", accuracy)\n",
    "cm = confusion_matrix(stemmed_test_label, test_predicted)\n",
    "# confusion_matrix_graph(cm, accuracy, \"NB Multinomial Stemmed\")\n",
    "tn, fp, fn, tp = cm.ravel()\n",
    "print(cm)\n",
    "print(\"The number of true negatives is: \", tn)\n",
    "print(\"The number of false positives is: \", fp)\n",
    "print(\"The number of false negatives is: \", fn)\n",
    "print(\"The number of true positives is: \", tp)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 215,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The accuracy is 0.5\n",
      "[[148   0]\n",
      " [148   0]]\n",
      "The number of true negatives is:  148\n",
      "The number of false positives is:  0\n",
      "The number of false negatives is:  148\n",
      "The number of true positives is:  0\n"
     ]
    }
   ],
   "source": [
    "#Naive Bayes attempt Multinomial \n",
    "clf = MultinomialNB()\n",
    "clf.fit(sentiment_train, sentiment_train_label)\n",
    "test_predicted = clf.predict(sentiment_test)\n",
    "#Getting the accuracy for naive bayes \n",
    "accuracy = accuracy_score(sentiment_test_label, test_predicted, normalize = True)\n",
    "print(\"The accuracy is\", accuracy)\n",
    "cm = confusion_matrix(sentiment_test_label, test_predicted)\n",
    "# confusion_matrix_graph(cm, accuracy, \"NB Multinomial Sentiment\")\n",
    "tn, fp, fn, tp = cm.ravel()\n",
    "print(cm)\n",
    "print(\"The number of true negatives is: \", tn)\n",
    "print(\"The number of false positives is: \", fp)\n",
    "print(\"The number of false negatives is: \", fn)\n",
    "print(\"The number of true positives is: \", tp)"
   ]
  }
 ],
 "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": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}