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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"id": "e1480137",
"metadata": {},
"outputs": [],
"source": [
"import os\n",
"import re\n",
"import json\n",
"import shutil\n",
"import numpy as np\n",
"import pandas as pd\n",
"import seaborn as sns\n",
"import matplotlib.pyplot as plt"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "e025ba51",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"[nltk_data] Error loading punkt: <urlopen error [SSL:\n",
"[nltk_data] CERTIFICATE_VERIFY_FAILED] certificate verify failed:\n",
"[nltk_data] unable to get local issuer certificate (_ssl.c:1131)>\n",
"[nltk_data] Error loading stopwords: <urlopen error [SSL:\n",
"[nltk_data] CERTIFICATE_VERIFY_FAILED] certificate verify failed:\n",
"[nltk_data] unable to get local issuer certificate (_ssl.c:1131)>\n",
"[nltk_data] Error loading wordnet: <urlopen error [SSL:\n",
"[nltk_data] CERTIFICATE_VERIFY_FAILED] certificate verify failed:\n",
"[nltk_data] unable to get local issuer certificate (_ssl.c:1131)>\n"
]
},
{
"data": {
"text/plain": [
"False"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import string\n",
"from collections import Counter\n",
"from wordcloud import WordCloud\n",
"\n",
"import spacy\n",
"from spacy import displacy\n",
"\n",
"import nltk\n",
"from nltk.corpus import stopwords\n",
"from nltk.tokenize import word_tokenize\n",
"from nltk.stem import WordNetLemmatizer\n",
"\n",
"\n",
"from nltk.probability import FreqDist\n",
"nltk.download('punkt')\n",
"nltk.download('stopwords')\n",
"nltk.download('wordnet')"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "561b070d",
"metadata": {},
"outputs": [],
"source": [
"data_dir = \"../data/MACCROBAT\""
]
},
{
"cell_type": "markdown",
"id": "234c48cf",
"metadata": {},
"source": [
"We have a total of 200 .txt files along with their corresponding 200 .ann files."
]
},
{
"cell_type": "markdown",
"id": "2e5bec29",
"metadata": {},
"source": [
"**Importance of Converting .ann Files to BIO Format for Named Entity Recognition (NER):**"
]
},
{
"cell_type": "markdown",
"id": "818ed038",
"metadata": {},
"source": [
"To perform named entity recognition (NER) using annotated data in the .ann format, we need to convert the annotation files into the BIO format.\n",
"\n",
"The BIO format is a widely used format for representing annotated text data for NER. In this format, each token in the text is assigned a label that indicates whether it is part of a named entity or not. The labels follow a prefix notation where the letter 'B' indicates the beginning of a named entity, 'I' indicates the continuation of a named entity, and 'O' indicates that the token is not part of a named entity.\n",
"\n",
"To convert .ann files to BIO format, we can extract the text and the annotations from the .ann files and then iterate through each token in the text. For each token, we check if it overlaps with any of the annotated entities. If it does, we assign the appropriate BIO label based on the position of the token in the named entity (beginning, inside, or outside).\n",
"\n",
"Once we have converted the .ann files to BIO format, we can use them to train and evaluate NER models."
]
},
{
"cell_type": "markdown",
"id": "e29d0f69",
"metadata": {},
"source": [
"**Below is the example of bio format file**\n",
"\n",
"| Word | Tag |\n",
"|--------|-------|\n",
"| Patient| B-PER |\n",
"| has | O |\n",
"| diabetes | B-DIS |\n",
"| type | I-DIS |\n",
"| 2 | I-DIS |\n",
"| and | O |\n",
"| high | B-DIS |\n",
"| blood | I-DIS |\n",
"| pressure | I-DIS |\n",
"| . | O |\n"
]
},
{
"cell_type": "markdown",
"id": "738abdb6",
"metadata": {},
"source": [
"**Importance of EDA before the conversion process**"
]
},
{
"cell_type": "markdown",
"id": "ffe5c176",
"metadata": {},
"source": [
"Before converting .ann files to the BIO format, it is important to perform exploratory data analysis (EDA) on both the annotation and text files. This is necessary to ensure that the data is consistent and error-free, which can affect the quality of the NER model we build.\n",
"\n",
"During EDA, we can check for inconsistencies or errors in the annotation files such as missing or overlapping entities, incorrect entity types, and inconsistent entity boundaries. We can also check the quality and completeness of the text data, such as missing or duplicated text, spelling errors, or formatting issues.\n",
"\n",
"By performing EDA, we can identify and address any data quality issues before proceeding with the conversion process. This can improve the accuracy and reliability of our NER model and ensure that it produces high-quality results."
]
},
{
"cell_type": "markdown",
"id": "bd909753",
"metadata": {},
"source": [
"## Loading Data"
]
},
{
"cell_type": "markdown",
"id": "1ff0c063",
"metadata": {},
"source": [
"### Step 1 - Getting doc ids "
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "86277af9",
"metadata": {},
"outputs": [],
"source": [
"def get_doc_ids(data_dir):\n",
" \"\"\"\n",
" Extracts unique document IDs from a directory of files.\n",
"\n",
" Args:\n",
" data_dir (str): Path to the directory containing the files.\n",
"\n",
" Returns:\n",
" list: A list of unique document IDs (strings) found in the directory.\n",
"\n",
" Raises:\n",
" OSError: If the specified directory does not exist or cannot be accessed.\n",
" ValueError: If no files with the expected naming convention are found in the directory.\n",
" \"\"\"\n",
" if not os.path.exists(data_dir):\n",
" raise OSError(f\"Directory {data_dir} does not exist.\")\n",
" \n",
" doc_ids = []\n",
" for doc in os.listdir(data_dir):\n",
" doc_id = doc.split(\".\")[0]\n",
" if doc_id not in doc_ids:\n",
" doc_ids.append(doc_id)\n",
"\n",
" if not doc_ids:\n",
" raise ValueError(f\"No files with expected naming convention found in {data_dir}.\")\n",
" \n",
" return doc_ids\n"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "81104c82",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Number of documents is 200\n"
]
}
],
"source": [
"doc_ids = get_doc_ids(data_dir)\n",
"print(f\"Number of documents is {len(doc_ids)}\")"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "c78cf2b1",
"metadata": {},
"outputs": [
{
"data": {
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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"text_files = [f for f in os.listdir(data_dir) if f.endswith('.txt')]\n",
"ann_files = [f for f in os.listdir(data_dir) if f.endswith('.ann')]\n",
"\n",
"text_ids = [f.split('.')[0] for f in text_files]\n",
"ann_ids = [f.split('.')[0] for f in ann_files]\n",
"\n",
"# count number of files without annotations\n",
"missing_anns = 0\n",
"for text_id in text_ids:\n",
" if text_id not in ann_ids:\n",
" missing_anns += 1\n",
"\n",
"# create bar chart\n",
"labels = ['Text files', 'Annotation files', 'Missing annotations']\n",
"counts = [len(text_files), len(ann_files), missing_anns]\n",
"\n",
"plt.bar(labels, counts)\n",
"plt.title('Number of Files by Type')\n",
"plt.show()\n"
]
},
{
"cell_type": "markdown",
"id": "fac47660",
"metadata": {},
"source": [
"## Step 2: Load the .txt files"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "e04422c7",
"metadata": {},
"outputs": [],
"source": [
"import os\n",
"\n",
"def load_txt_data(txt_dir, doc_ids):\n",
" \"\"\"\n",
" Loads text data from a directory of .txt files into a dictionary.\n",
"\n",
" Args:\n",
" txt_dir: Path to the directory containing the .txt files.\n",
" doc_ids: A list of file IDs (strings) to load from the directory.\n",
"\n",
" Returns:\n",
" A dictionary of file IDs (strings) mapped to their corresponding data, \n",
" where each data item is represented by a nested dictionary containing the following key-value pairs:\n",
" - \"text\": the full text of the file as a string.\n",
" - \"annotations\": an empty list to be used for annotations on the file.\n",
"\n",
" Raises:\n",
" OSError: If the specified directory does not exist or cannot be accessed.\n",
" ValueError: If no .txt files are found in the directory.\n",
" \"\"\"\n",
" if not os.path.exists(txt_dir):\n",
" raise OSError(f\"Directory {txt_dir} does not exist.\")\n",
"\n",
" data = {}\n",
" \n",
" for file_id in doc_ids:\n",
" \n",
" file_name = file_id + \".txt\"\n",
" \n",
" with open(os.path.join(txt_dir, file_name), \"r\") as f:\n",
" text = f.read()\n",
" \n",
" data[file_id] = {\n",
" \"text\": text, \n",
" \"annotations\": []\n",
" }\n",
"\n",
" if not data:\n",
" raise ValueError(f\"No .txt files found in {txt_dir}.\")\n",
"\n",
" return data"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "df461ae9",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"data: {\n",
"\t'19860925': {\n",
"\t\ttext:\tOur 24-year-old non-smoking male patient presented with repeated hemoptysis in .....\n",
"\t\tannotations: []\n",
"\t},\n",
"\t'26361640': {\n",
"\t\ttext:\tA 68-year-old female nonsmoker, nondrinker with a medical history of hypertens .....\n",
"\t\tannotations: []\n",
"\t},\n",
"\t'26228535': {\n",
"\t\ttext:\tA 25-year-old female patient had noticed left-sided visual loss and amenorrhea .....\n",
"\t\tannotations: []\n",
"\t},\n",
"\t....\n",
"}\n"
]
}
],
"source": [
"data = load_txt_data(data_dir, doc_ids)\n",
"print(\"data: {\")\n",
"for doc_id in list(data.keys())[:3]:\n",
" print(f\"\\t'{doc_id}': {{\")\n",
" text = data[doc_id]['text']\n",
" annotations = data[doc_id]['annotations']\n",
" print(f\"\\t\\ttext:\\t{text[:78]} .....\")\n",
" print(f\"\\t\\tannotations: {annotations}\")\n",
" print(\"\\t},\")\n",
"print('\\t....')\n",
"print(\"}\")"
]
},
{
"cell_type": "markdown",
"id": "22f6f20c",
"metadata": {},
"source": [
"#### Document Length Distribution"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "c9402bca",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"def get_doc_length_distribution(data):\n",
" \"\"\"\n",
" Computes the document length distribution for a dictionary of documents.\n",
"\n",
" Args:\n",
" data (dict): A dictionary where the keys are document IDs and the values are dictionaries\n",
" containing the 'text' field with the text of the document.\n",
"\n",
" Returns:\n",
" list: A list of document lengths (integers).\n",
" \"\"\"\n",
" \n",
" doc_lengths = []\n",
" for doc_id in data:\n",
" \n",
" text = data[doc_id]['text']\n",
" \n",
" doc_length = len(text)\n",
" doc_lengths.append(doc_length)\n",
" \n",
" return doc_lengths\n",
"\n",
"\n",
"doc_lengths = get_doc_length_distribution(data)\n",
"\n",
"# plot the document length distribution\n",
"plt.hist(doc_lengths, bins=50)\n",
"plt.xlabel(\"Document Length\")\n",
"plt.ylabel(\"Frequency\")\n",
"plt.title(\"Document Length Distribution\")\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"id": "d573378a",
"metadata": {},
"source": [
"#### Sentence Count Distribution"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "5cc79b63",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"def get_doc_sentence_counts(data):\n",
" \"\"\"\n",
" Computes the number of sentences in each document.\n",
"\n",
" Args:\n",
" data (dict): A dictionary where the keys are document IDs and the values are dictionaries\n",
" containing the 'text' field with the text of the document.\n",
"\n",
" Returns:\n",
" list: A list of sentence counts (integers) for each document.\n",
" \"\"\"\n",
" \n",
" sentence_counts = []\n",
" for doc_id in data:\n",
" text = data[doc_id]['text']\n",
" sentences = nltk.sent_tokenize(text)\n",
" sentence_count = len(sentences)\n",
" sentence_counts.append(sentence_count)\n",
" \n",
" return sentence_counts\n",
"\n",
"# get the sentence counts\n",
"sentence_counts = get_doc_sentence_counts(data)\n",
"\n",
"# plot the sentence count distribution\n",
"plt.hist(sentence_counts, bins=20)\n",
"plt.xlabel(\"Sentence Count\")\n",
"plt.ylabel(\"Frequency\")\n",
"plt.title(\"Sentence Count Distribution\")\n",
"plt.show()\n"
]
},
{
"cell_type": "markdown",
"id": "c3dc7736",
"metadata": {},
"source": [
"#### Word Frequency Distribution"
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "95cfb6de",
"metadata": {},
"outputs": [],
"source": [
"def get_word_frequency_distribution(data):\n",
" \"\"\"\n",
" Computes the word frequency distribution for a dictionary of documents.\n",
"\n",
" Args:\n",
" data (dict): A dictionary where the keys are document IDs and the values are dictionaries\n",
" containing the 'text' field with the text of the document.\n",
"\n",
" Returns:\n",
" dict: A dictionary where the keys are words and the values are their frequency counts.\n",
" \"\"\"\n",
" \n",
" # Load stop words\n",
" stop_words = set(stopwords.words('english'))\n",
" \n",
" # Tokenize text and count word frequency\n",
" all_words = []\n",
" for doc_id in data:\n",
" text = data[doc_id]['text']\n",
" words = nltk.word_tokenize(text)\n",
" words = [w.lower() for w in words if w.isalpha() and w.lower() not in stop_words]\n",
" all_words.extend(words)\n",
" \n",
" word_freq = dict(Counter(all_words))\n",
" \n",
" return word_freq\n",
"\n",
"def plot_word_freq_distribution(word_freq):\n",
" \"\"\"\n",
" Plots the word frequency distribution.\n",
"\n",
" Args:\n",
" word_freq (dict): A dictionary where the keys are words and the values are their frequency counts.\n",
" \"\"\"\n",
"\n",
" # sort the word frequencies in descending order\n",
" sorted_word_freq = sorted(word_freq.items(), key=lambda x: x[1], reverse=True)\n",
"\n",
" # extract the word and frequency lists from the sorted word frequency tuples\n",
" words, freqs = zip(*sorted_word_freq)\n",
"\n",
" # plot the word frequency distribution\n",
" plt.figure(figsize=(12, 6))\n",
" plt.bar(range(len(words)), freqs)\n",
"\n",
" plt.ylabel('Frequency')\n",
" plt.title('Word Frequency Distribution')\n",
" plt.show()\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "0b706abc",
"metadata": {
"scrolled": false
},
"outputs": [
{
"data": {
"image/png": 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938dyPSzXw/V8fCkRgKYqhA2dsKGjf+jpH0hJ2XEp2S6O5wMSXVWJh83qdbi2neW4zJUsGmIR8paN4/kYmkrENBBArmzj+T5hQyceNtGUSr9dz6dgOxSui3k1NJV4OETEWDqOTUqJ7fmUbAfb8wmCisVcURQMVSFsGIR0DUURC/YpOS5lp3IuUkqoWn1NXSVqGmiqOv89e35Q6VfZRlYnw7qqEguZ84sbS/XL9X2KtovlevhBgEBUr4NOSNdQFWV+27zlULId4uHKuC/ZznzfVEUhYupEDANVUW77y/J+QVNU6o06wqqJIu68S5QqVPri6/nfNv09ZuxZ/vmpf3WDRxCAgiLiSHwgQMoAuP7P/Y0V5BkovM2Vwrvk3Uk8aWMoUVoj29ie+gwpoxNFVJ4FgfQouJMcm/0rpu2LeNImZXSxMf4U6+OPoymhyn0vywwU3mag8A4ZZ5iAgLjeRHf0AJsSz2GqcRSh4kuXi/k3OJ97mUcb/y79+R8yWT6DG1i0hLewOfkCHdpeAumRdyc4MfcVZuzLWH4WgUJcb6UndoAtyU+iCgMhBBdyr3Gl+C4ZZwQ7KFB0p1CrgnF97GNsTX2SOrUbX3pk3THOZr/HSOkDLD+ProRoCm1iXfxx2iO70ZVKjgk3sHh94rfpij5EVGvgSvE95pwrKEJnQ+xjbEt/Bl86fDD7l7hBif0Nv0S9ec1LI+uO8O707xLR6nmo/ueJK013/Xuucf/RHm7jb3R+7rYcKyCg4BcZLo/hBDcaM//gEY+E+PxTO+YTIb176go7NrRycHs3W9e1kIyF50Xd1TlRvmgxOVMgV7T54+8cRlGWls3xqIkfSJaKjdNUhe62ujvusmvq2ry4VoTAqM5hrs5jVEVBVQSux32df2at1ATsfYCqqUQTYQqZMtnZInVNifl41HDEINUQ4/CPzuF5ASYwOTqHogjSDTGmx7J3ZtImYKnDivm/FlLXlKC5PU3nukZ+8leeBCHwfR9VUZgay/D+D8+SnS2ABNd2mRyZu+kkRmuhoylFvmSTL1VETaFkMziRwdQ1Lo3OUK5aMecKFo7r0d5wLcb1ix/bybN7N9I/Ms033z7N6HR22XaaUjFe2L+Jg1u7eevkZb797llePLiZA5u75h+EIUNfJNaFEJy4PM7kXIEd61p5bm8fmUKZlw/38+UfHKVsu/zdTz08v2gB8OLBLTy6vYdLY7O89P55Dp8fWvEaeH7A4MQc//ef/ZDNnU08u2cj0ZDOqYEJXj9xmYuj0/zHf/CTpGJryz49lsnzxrkBXj87wIWJGWbyJXRNpas+yXPbN/DxnX2L4k5t1+PVUxf5+uEznB6ZIAgk65vr+dKT+3A8D7V6k5UdlzfODfB//vUP+A9f+iy/+6PDnBgcY1tHM599aCthXee3v/c2Q7MZntqyjr/zzIH5tgZnMnz5rWP86dvH5tvd2tHE33n6wLLuxJ4fcGJwnG8ePcuhS0NM54ooiqAuGmZLexMv7Ozj4Y1dJMKh+X0cz+cHJy/y0ol+zoxMkLdsdE2lMR5ld3cbP3lgOxub6wlVRfNUrsCfvn2c33vtffzqvb6hpZ5ffHwPXziwdNINPwg4PzbNV98/xZvnrzCRLRA2dLa1N/HZfVt5bFM36WjFEhRIyV+8e4JvHjnDLz2xh3jI5K8PneLE4DiO79GaivPi7s28uHsz7XUrx3A/qAgEbaEW/umWf3hP2ldEZWHgRp9kqogTj/wEfpDBDzIEQRZfVv4NggJwf1pBrqIJg5CaoDt2kMZQH5owmLDO8vbkfyemNdKXiBLTKwugZT/LxfyP2Fv/s+yo+zxFd5rTmW9zNvs9wlqKruhDAFzKv8GJua/RHN7MjvTnUIXJSOkoR2a+jJQBm5MfJ6yl5vuQcYY5PPMn9MQeZVvqUwSBS0Aw364QCoYSJqyl2RM9SEJvoezPcT73Cqcy3yJt9tAe3gkIdtd9ke3pz3Ji7qtcyr/JwYYv0RbZBYAiNBRReR/nnFHOZL9Df+6HHGj8Eo3mBvLuJKcz3+b43FcA6Ik9vOBancu9THtkD32JZ0kZHdh+ASFUdCVMWKRoMNcxVDzCSPHYAgE7UjqOJ23qjC5i2uLF5Bo1bhXLtxkoDP1YiFcAQ1fZsq6Z/9//8mm+/cYZXn73HN976yzfffMsXa1pfuLpHXzuqR0LLKyuH2A5LrGwwac/to1ELLSk8UVRFNoa4sQiiz0lFEUQj4YWLIjfCYQiFhkjFOXBjnNdiZqAvQ8QAlJ1MX75N1/k67//Bp7nI4A9j/XxxIu72LCtg/4TI/zHf/bXBH5AXWOCg89upak9zfTY8uJqOYJAcv74EN//i/cYuTRFMV8mN1viyU/vZuPOzps6h2RdlB0H1nH49fP86//tywhFgBD8zX/0InVNCTZsb+eDt/r5V7/5ZUJhg4bW5B11Xe1qSnG4f5h82SaQklzZYjZf4tFt3VyZzGA53rwLr+dL2uuvTfBDpk6zrmE5Hul4ZEUBG4uY9HU0ULJdBsZn0DWFtoYkW7qbSUYr4kdZQvUHQUB9PMwL+/v44pO7MDSVQEqaUjH++vUTDIzPMTyVpbvlmiA0DY1GLYbrBTQko6teA1m1fj62vZefe3YPvS11CCHYua6VsKnx0vv9nB+aYsf6NiLm6hk3+8eneeXURUqOy2N93aQiIfKWw7HBMf7i3RPMFEr8+nMPk4pWBHEgJX/y5lG+efQsnh/w8IYuWtMJ5oolfvt7b+H6AUX7WoZTCRRsh3/7nTfoa21kc1sTFyZm+E8vvcOGpnr6WhtoTER4/dwA2zqaiYVMGhNRWlMJfvqRXRxY30nBtvnPL72z6rl8//h5/vrQKWaLZfav66AxHqXseIxlcgxMzTGWyS9aLf3vrx7ipRP9pKNhntm2gWjIoFC2GZnL8c6FQT61Z/OCl0VdLMLn929jR2cLecvmD18/QjBvi12MHwS8dOICX37rA8azeba0N/P8jo0ULIcTQ+P855ffoX98hp9/fDdNidj8cYq2w5+8+QHxcIiQrvKZfVvwg4B3Lw7xJ299gOX5fHbvlvsqqdWNs/Sz4kF0fxeAoqSpT/wjZNXiWrHAXrXGekhZxA/yBDJHUP3XD/K43mWK5e8SyKWzcd4tDCVKd+zheddhgSCmN3E+9wNK/hx2kCdGRXTpSoTG0Cb6Es9gKDHqjG4sP8el/JsMF49UBazkbPZ71IfWsTHxDM2hzYAgrCYoebOczX2frtiBBQLWUKK0RXawOfk8mjCq40HOW34FKlGtnl3pn0QVBgoqKdop+Rly7jgZZ6gqYKlaYhUUUfFkUhVj3pJ6/b035wwyVj7F1tSLrIs9ji5CpIxOfOnQn3uVgcI7iwRs0mijJ3aQzug+FKFVv2uBWm2rMdTHtH2RsfIJtgYVq7AkYKx0kpCapM7seSDv8xr3P2Xf4nzhAsEaMvh+FBBCIKUkFY/w+ad38OyBPi4MTfPmsUu8d/IKf/DNQ2QLFj/57C7qEpWFYk1VMAyNkKnz8M5eNnY1YHzI4+0qqqrML2DfKVzXr3qz1agJ2PsAIQRmSGffk5vo6qsmAJKQqo9hhHXSRpyP/439FHJlZCAJR03SjXHMkM72A+vo3tQyv7Lz1Of2oGoqyXRF4KTr4/zc//w8Da0pjGpyKCGgvbeBT//CoziWS+AHhCIm9c0JzLDOlj3ddKxvor55odVm58Mb8P0A3VBxnUp9zVBYp6E5SaohThBI6pqTlPJlKiZcSKQiaLrKnsc20ru5Fdfx0XQFEDS0JDHWIJxuhq6mFK+fuES+ZFdSis8VMTWNx7b18B+//hbFss1crkymUCZsaguyDCtCoKgCXau4W6xExSVDqQT+VwWPpiqYulpJjb4CLXUJHt3WQ911sbXr2+upS0QolG1m86UFAna+X6oy70a6EpKKN8vjO3robk6TqArqlroEG9ob+PY7ZxmfK7DZ82EN38O2jhZ+/fkwulJxATY0FdcP2HZ5hK8fPs3FiVkuTsywb10HAOdGp3j34hCKUPjUnj6e276RkFFZGHjv4iB/8taxeUv49efYmIjy6T2bKTkuf/TGUc6NTdEQj/I3Ht5BrmzxD/7gm1yemiNTKtOYiBIyNLoakrQkY3hBwB+9cXTVc+mfmGGmUOLA+k5+9tFdmLpGEEjKrkvBcmhMRDG1hd/f4cvD6KrKx3du5LG+HjRVwfUDyo5LvmyxsaVhgejVNZX2dIKGeATPD/j2B2eZyheX7dOZkUleP3uZgu3wmb1beGHnJqKmjhcEDM5k+fO3j/Pm+QGaElF+/vFrKfCDQJIr2zy+uYdnt20kGTEJpOSJzb381tde5fClYXZ1tdw2ASul5FJxgP7CZSzfJuNUFni2Jvso+2WOzJ2gNdTM4w0H6YhUnhNFr8i53AUOzx0n62UxFZOeaBc7klvojnRWJhZVCfJB5iTHM6eZtmeIahEazfolM00enjvGK5Ov4wYVS/6LLc+xIb6OsBpasF0gA+acLIdmjzJQGiTvFlCESnOogR3JrexKVWoQ59w8p3PnOJ+/xIwziy89ElqcLYlN7E3vJKotjoG/OQRCqKjq0tmoK8ntPKT0Kv9W/19KF9s9Ttl+k8C/twI2kD6z9mXGSieYc4aw/QISn1l7gITeOp/cCirW2pTRjqHE5mNj43ozuhIi705W688WyLsTtEV2Etea5uM9w1qKxtBGzud+QNnL4BvXnheGEqbOXIehRJcReBIvcBguHmHSOk/Bm8YPbAreNE5QwvXLSCryVAiBkKIaU1f5Iz7kguQFDiV/Djco0xTqw1CiKEJBRSept2OqMfLuBLZfwFCuLTDGtRYSeiu6UvV0+VBX68xe0kYPVwrvMF4+TXtkN9P2BXLuGN2xA6SN7pv8lu4OlaulIIDR8hjn8xe5UhpmzsliBw66UEnqCToibWyJ99ESbsZYQ4kiKSWOdDidO89AcZBJa4qCV6rGOpukjRTdkU62JzaTMOKoYmlR8WECGVD0SpzOn2ewOMy0PUPRL+EFPopQCKkmCS1OU6iejkg7XeF2EvrSIU+nsmd5f+4Dpu1Z+uLr+UzbCwBcLFzmTK6f0fI4ea+AlJKYHqU93MqOxBZawy1ripc/kzvP69PvMG3PLPl5d6STjzU+SmdkbfXOrxSHGS6PMmlPMWPPMWlPM1wanR+vL0/+iMNzx5bNI/BC8zPsSe9Y1uvPCzxmnQxXSkMMlUaYsmcoeiVc6VavbYi0nqQt3MKm+AZaQs3zXlh3CyEEqlqxiEbDJsl4iK7WNJt7mvlvf/02L71zjucf3jQvYONRk+a6OJeGpxmZzLBzY+uiGrG3E0PX0FSFsu1iO4st45l8mVxh6Xq4P27UBOx9gqIqJNJREunFljVVVWjtWnqyk26Mk268VpC4pXPhdkZIp3fzwoebEIJ4MkI8ufSELFkfI1kfW7KtpYhdd5xoPLTkNqmGOKmGu1c4uas5hRCCTKHM8FSWmXyJ1oYEW7qbsV2PyUwBP5AUyg6JSIjG5OLzvdPEIyadTQtFRcQ0MHWNXMnGcm+PG2FPS92CB66uVeIwJVCy3fn4z9VojEdpiEeWEM+SI5dHODc2xUT2Wkr/k0MTjM7l2dbezGN93Wyolo+RUpKMmLx88gLT+dKCI2mKwrqmeroaUqiKoCkRZWQuR2dDknVNdViuR8TQyVs2dvX6KEJgatq84FyLuA/pGoGUzBRK5C2btnQCQ1PnV2hhsXUvYhhMZAtM5yuTndZUHF1TF2TTvn4fRVRiV6+u1q4W/3J6ZJLz49O0phK8uHsz65uvjeXmZJwL49N87f0MRwZG+cy+rQus5uua69jX28HW9iYUpXIOLck4HXVJhmdzzBVv7wsv7xU4ljlJQo8TUSNM2dP8cPJN2sIttIaaOZk7S3u4lXojTUDA2dwFfjj1Js1mI/VmGk96XCkOUfAq2ch7Y91IKblcHORHU2+DlLSGmjAUk4yb41LhyiLbdbPZyL70LiatKb419jKP1O9fIJygUiJizsnytZFvM+tmqDfq6I12ESDRFX1BEhCJpOAVUYVCV6QdiSTj5Hh54jXieoy+2Hoi2tLu9rfTPla5h3SEWDzJ9/1xxH3w2h4qHeZK4T0C6VJndqMrEQSCrDtauabXj4lqfdnrUYWOEApe4CCRuIGNL11UYc6761b2VdCVMIH0Ktbq626BSvKk5d8plp/jXO5lRkvHqTN7aAlvRRMG0/ZFxstnVvCFWJpAepX+ygBdCS/4zjXFQEGr9nPhcXUlvGICJlOJUmd2MWGd4UrxPdojuxgqHq0K/85qoqv7G0NoHJr9gDO5cwwUh5hzM5Q8C196KEIlpJqk8hc4l7/A/vQediS3EtOX9yKyfJuh8ghvTx/iSmmIaXuWglfECRwCKdEVjbAa5oxxntO5c+xL76Ivvp6EvvIco1RNuvbWzCGGS2PMORmKfql63Eq+AU3RCCkmMT1KSk+yNbGJfeld9EQXe6dl3BwXCwNcLg4SEPC09ziHZo9wdO4kI+VRsm4eO7CRgKkYnNcvcjbXz0N1u9mZ3Ea9ufKiYsErcrk4yEBxcMnPfRnwUHr3ise4ng8yJziWOcWsM0fRL1H2rQXPzHFrknFrctn996f3VHM/LP5srDzBiewZzucvMGXPkHGzFL0SduDgS7+ahEknrIZI6nGOZ06zr24Xe1I7iGmre5TdKvPVN8o28UhoPjY0GjYJmTqFko2hq8xkiwuqSDTVxdnc08TrRy7y6nvn2belk/am5AI3Yz8IsGwPU1dR15hTZDkSsRCRkMHYdI7B8QyPXfdZsWxzYWiK4YnMkq7KP27c+zdhjRp3gLb6JNGQQbZocXl8lmyhTG9LmoZklFQszNhsnmy1PFBTKr4gM9zdQtdUoh9ayVOEqMTUVVO63w7iYXOBeBJUYiWgshq91lZc32cqX+TK1BwzhRIlx8X1fPKWzcD0LF4QUL5OdA/OZCjZLu11Cdqui8EUQtCYiNGYiGFOzi1oQxGC+lhFJIeMSkKCiKGTioQrL0BVQVdV/CC4pRjq3d1tDM1kuTAxwx++fpTNbY30NKZZ11RHSypOeAk3oOd2bOBbR8/y/qVhZgslNrY20NNQ2acpEb3lWJOR2SzZksWurlZ6GhZObEK6Rmd9inQ0zFS+yFSuQPd1FtWehjTtdYl5TwxRzUKYioQYmJrDucWkbkuRd/Osj/awNbmJY5lTvDNzmP11e9gS7+NM7jwz9ixFv0zOzXMydwYBPNZwgLSRwgps3pp+j4uFAU5pMXpj3fjS59DsUTJOhofr97MruRWE4Eyun1PZs4va74i00RZuYaA4yLfGXl6yj2Xf4ly+n8Nzx3i66Ql2pbbRYNYTSB87cBZYa0NKiHXRHnqiXaT1SojDSHmc49lTDBSHaA+3Litgf9wYKh4m647QHT3IhsSThNRK1t/T2e+wKFwCH8vPc736dIIyvnQxlDACga6YaMLEDgq48loytkB6lLw5NCWMroQQQqm64EJFGi8/5iw/z7nsSySNdrqiD1FvrkdXTC7mX2eivPh+Wtjvxc8WRajowkQIhZI3h0TO72EHRTzpoKuRRWJdiJX7KYQgbXTSYPZypXCIgjfFcPEwSaONpN6GusRCxv2EL30GSoOcyfUzXB7FUAwazQbCkRC+DCh6RcbKEwx7o0xYkxS9EpqisS+9e0mrZtm3uFgY4NXJNzgydwwrsEloMZpCDUTVitXb9m3m3AyXi4MMlUaYcWYp+WV2JreSMpYW/G7gcqU0zEsTP+TI3Ak86VFnpGkLNRNWwyhCwZceZd8i6+aZtKYZLY+T1pO4ya1LHvMqnvSYtKZ4a/oQr0z+iIybI6Un6IlWkplZvsWsM8eYNcGYNUHGrXit7E7tIL1MfwFaQ8082fgo2xKbcAMXN/AYLA8zVp6g5N/4omRUi9AabqLOSFWudWAxUBxkzskikfREumgM1WMsc8+1hJuWFWdl3+Js/jzvzhxBCEFUjdBg1hHVImhCw5UeOTfPnJPhSmmYodIoM84sMTXKpviGu/Bslczly/z594/S2ZwinYgQCRkIAfmSzemL49iOR193E+Z17/9kLMy2Da3s3tTO0bPDfOWV4+zY2DpvoS3bLnO5MjPZIp96fCvpRGRB7pIbpSkdo60pyalLY7x7YoCmdJT6VBTL9hgYneFUtZ81AXufCVgpPRxvCNcfQVXqCRtb7nWXajygJKIh0rEwluNyZWKWfNlm1/o2DF2luynF5FzFUqiqCk2p2G3K0HpjB1GEuCuFpFVVueWMz2XH5dzoFG/1D9I/Po0fBPiBJAgCLM9jLFMgETYXTPuKto0XVLIGh/XFL8SIqc+7Xc8jqFpCr4p5gaqIBdmNb0c82K7uVhRF8NqZS5wZmeRbH8yQioTZ2t7E7p42dnQ205SILWjr2W0b0FSFd/uH6B+f5tTIJE2JKDs6W9jb287WtiYipn7T/SvZLoGEsKGjLnFfRAydiKEzWyyTK9sLPouFTCLGYrcmVVUqiyE3nGZodTRFpznUyLpoN2PlCXRFY1N8A02hBuJ6DFe6OIHDlD3N+fwl2sLNTNhTTNrTADiBQ87LM1gaQUqJLwPO5M7TEmpiY2wdLeFmAPzApzPSznB5dMl+rFRKoeiVOJPrJ6xFeLh+H+3h1mXd33RFI6UnmHUzjJTHcKWH5Vvoik7WzeEEzpL7fTSR838vZam0/ByK0InrTRhKFMcvMGMPUPJmSekdC7b1AptZ+zJZd5So1oAvKz97gU1jeGNlsUWJ0RDaQNYZYca+hKlEEUIl4wwzXj5FY2gjITWBIlSCJdzJlyLAo+jN0h7dTVRrQBEKWXecGXsAJ1jsyi8Q1fhTSd6dxAkq3iEKKorQ0BSDmN5ERE0zUjpGU6iPkJrAC2ymrH5cWaLO7EVTjBuucR7VGqk313Mh/yMuF95k1hmgN/4ocf3+zzzsBA7vzh4h5+TpjLTRF99AZ6SNmBbDlz6zTobTuXOczp0j5+Y5n79InZGmL7aepJFYcKxABoyUxnh96m3enjkEQHekg03xDXRHu0gbSVQUin6J0fI4Z3P9XCpe4WT2LL4MMBSdfeld6Eu4KOfcPGdz/RyeO46Ukq5wO7vS2+kMtxPXYmhCxZUuObfAlD3DuDXBrJthS6KPltDq38OUPcvLE69hBzZ7UztZH+shbaTQhErBKzJYGuFE9gxXSkNcKl7hzen3iGsx9qR2oCpLuz93RNpoD7cSyAA7sLECh1cnX6fgFW9KwO5L72JbYjNBNdP5tD3LN0e/R8bJIZHsSG1hX3rXshbRlL587pI6I0VbqIV1sW5SepKWUBOtoSaSRhJD6NiBw7Q9w4XCZc7k+5l15rhQuMyRzHEazfq7sjhYKtu8eqifsKmTiIWIhg00VaFQDSnr7ajns09uJxG7trCpqQo9rXV84bld+H7AuycHuDA0NR+SZTkexer7+NkDfTfs2fFhUvEIeza1MzQ+x6Xhab783SM01cXwvIBcyaalPs66jgayNTfi+0vA+kGWbPmbZEpfI2Y+Qdj4Z/e6SzUeUBQhaK1LkCtbDE9mcX2fnpY6FCFY19bA2EyOQtmhLh6mKXV7XJvValmXW7UO3o8MzWT4yvuneO3MJXZ0tfLc9vW0pZLEQyZ5y+LP3z3BxYmFcTqqoiAQ+FISyMVuyn61hvHqiNteAiZs6BxY38mOzhauTM3x9oVB3r0wxPeOn+e9i0P89CO7+OSuPiLmNVEYD5t8es8WHu/r4czIJO9cGOTIwChffusD3jp/hd948Qm2tDdiaDf3WK24HoFXvX8+vOjg+QFeEKAoAkNbKMI0VUFbyQJ8B25HUzFQhVpNfqOgoMzXaFWFSoAkIKDsW4xZ48y5GQaKizNnR7Vw9aUvybhZNsbXEVKvrS7rikadkWKkPHbDfXQDl1knQ5PZQEgNrZixfdqe5YPMSS4WLpPz8jiBgyd95pwMbuCseK9+FEZ7ICuCz/YLlPxZbD+PLx1m7Sv4gYeuhEnozQihkDTaGS+fYrx8Bk0xsfw8g4VD1Xth4WRcElSTNr1Byuig5M8xWj6OqUbpiO7m6sJfX+JZTma+wWDhXWy/gCp0Zu3LzDmD7K3/WcJq6obORxMmDaH1zNgDjJVPElJTzNiXmLDOXItHvQ4hFKJaPSElxnDpCGE1iRAKMa2RhN6CoUZJGZ10RPdyIfcqF/KNJPQ2LD/LSPEophqjJ3rwpq69phgkjTYazHWcmPs6qjBoMNff8DnfC3wZMFoeZ0u8j59o/xR98fUL4jullOxP7+b3Br7M8expSn6ZMWuCK6UhdhrbFhyr6BU5mTvDe7NHEQiSRoJPtX18STdTX/oMpkf48uBf0Z+/xLn8BVJ6gq5IB23hlkX9nHZmGSqP4EsfUzF4pvkJHq0/QFxfOnzI9h1GyqOkjOSy2yzYPrDJuBk+3vIMLzQ/TUyPLlhc2+NbbIyt5w+u/CnT9izn8v10RztYH+td0QorhEAVKhElQoQIMS2KJm7uHZOuWl6vogqVkBqqvF8lJLU4LWbTooWFtZAykjxUt5tN8Q10RNqXPCeJZEd5nNj4D/nexKsAnM2dZ39693y+hDuHIBEL8xPP7OT8lUkmZ/NMzubRVJVUPMyBbd08squX3ZvaFoUhxSImD23tor0xxQ8Onefc5QmmM0WEgHg0RF93E9s3VKyy13timYZGU12M9R0NJKLmmgwJQsBDW7uIRUxee/8CF4dnGJ/Ok0qEeWLPOrb0NvP2sQGOnhsmHr1ajrBSzq9YtBkan6MhVRkrXa1pgkDOuztHQjrtTUls178rxpM7zX0lYB1vEMs9i+eP4wdzq+9Qo8YKtNbHmR0oMTSVoT4Rpac5jaIINrTVc3pggom5PC11cZqqccdXJ6iy8gNBIAlkZWodSDlfk/PqM+jD8Y7JWAhVUcgUyuRL9nytU2BBvMSNsqhfUiKv61cQVP4s1a/bxYmhCU4MjbO+uZ7f/NQTdF/n4to/Po26RJsN8SimrpEtlsmULGIhc/58AimZLZZvW5zvjXC9EAkbOpvbm9jU1sgvPr6XP337GH/29jHeOj/A+uY6dne3LRIuqWiYR/q6Obixi4lMgT944wh//s5xXj93mfp4hI6bLFnTEI+iqyqZYpmy4xK9TjwHUjJXvY6JsElj/O7HbC/N9bWNqb6gP+xCGpDQ4jzf8hSP1D+0yF6qK8a8sFRQkNX/rm9jJRfM1fqnCIEvA6AybpYbH69Mvs6Z3Hm2JDbyufZP0mg2YPs2//e5377pCeODhOXnODb7F1zMv4EdFLkqy8dKJzHUGK3hbTzb8o9QhcGmxHNI6XOx8Abnci8R11vYlHiOmNZQzeR79ftUSRmdbEo8z2DxEGdz38cPXFrC29iUeJ6WcMU1UwjBuvhjqELjXO5lDs/8MYH0SZtd7K77IutjT6BeZ1VThYauhFFY/rka1erZ3/CLHJr+Q96Z+h0UodEe2UVnZN+8QP4wrZHtOEGRk5lv8sr4v8FQomxLvciG+JMYapSk0cqW5AtoisnZzPcpetMYaoyu6F42xp+dPx+ojAJNCVcyHK/BOyeq1dMZfYhzuR+wOfFxIlrdokRS9ysqKp9tf4GN8d5FyYmEqAjR/XV7mLCnuFwcJO8VGCmPszO1UMBeLg5yPn8RK7CIaVGeaDjIvtROIkskUFOFSm+0i+eanyLvFhkoDTJQGuKDzElaQ82LxrkX+PPlYgQKTWYjmqIt+0wwVYN1sZ41XwNNaDSbjXym9eMYyuLvPKyG2Jnawr7cLt6cfo+cl2eoNMJAcZC0sXRZtQeNnmjXip8LBC2hJh5vPMirU2/gBC6T9jQlv7zis/l2IASk4mF+7pP7bmp/XVPpak3zNz+79kWqjuYUX/rMAb70mQPLbiOlREoo2858AifT0NjV186uvvZF27/9wWUmpnJs6W7msd3rkFJi6hr1sQgn+kc5emqQ/du7+Xs/+wT/x699csG+29a3sm1969pP+j7nvnorO94VHG/l2pY1aqyV1voEb54cYGIuz/q2euoTUSSSdW315Mo2Y7N5TF2jKX3NAusHkkyhTMlyGJzIkMmXsRyPkeksA+OzhA2dRDRUdfO89rDVVIWtXc3EwgYvH+7HcX22djcjkWiKwnP7+m7pXPxAkitaFC2HoakM07kiruczOpPj8sQs8bBJPGISMQ20W4i/WI6rotnQVFKRhdaLE4PjXJycXbTP1vYmXo6EODUyyemRyXlhJyWcHplgbC43n4jpbhJUBbQQAu26F6aqCPb2tvODUxco2pVsxNfv4wcBmnItQYMAkhGTRzd285VDJ8mWrFs6n63tTbzfkOLy1Bw/OnOZT+7eNP9ZplTmxNA4M4USu7tbaYhHb8wt+B5W4YiqURJ6nBl7lqSeWDSxu/qzQFBnpsk4OcqeNf/5VTfkm3HNMhSdBiPN4bnjlDwLachlxcRAaZBGs55dqe00h5oQgBO4zDqzdEcWTyQWnsODT1hNcbDxb/FQwy8uWrQRQlRdaSuiL643s7f+Z9hV9wVAIlDmy79USsRUtmuP7qY5vBVN6HRF9xNU69sqqKjKYpf3juheWsPbCajEbF897vWJnVRhsCX5CfoSzyxpSb1+u+bQJl5o+/9W+wUKV8W1rGbO/VCiNjVNX+JZ1sWfQMqgatkwUMW1vobVFNuSn2JT4nkklUVNRWgLtoFK+aBPtv8zFKEu+mwpBAqaYiIQdMcOEFbv/+RNUBFu62M9tIVaMFdIVtUcaiKqVoSoG7gU/cVu3MPlMYaqoQIRNczjDQ9jrHBMgB3JLbw1/S5D5RGmrBn68xf5RMszi77bmBYhpVeuqStdXp58jQazjrZwC+oKCyFrJaZF2BTfiLZChmVFKOxN7+JY5hQ5L8+UPcOYNc4ePhoCdi1c9dSpN+qYsCZxAhevmvxsLQs9HzX8QDIxneM3/uVf8ytfeISDu3pIxm7MnTps6vzz/+lFZrNF/vgb7zM1V1h9p48A952AdWsCtsZtoq2+kinO1DVa6xPV7KzQ2ZjC1FQEkkTUJFV9WHh+wLmhKf7z199iKlvEdj2yhYqA/aOXjvDVN06iCMEL+zfz8Yf66Li+9I4iaErH+OUX9vPS4fO8dWqAN09eJmTobOlqumUBe3F0mt/97iEujc3iuB65kk2hbPNnrx7jW++cQVUUPrZzHS/s38SG9oZbamspOuuStKWT9I9P899efY/96zqwXZ8zI5NcnJghV7KIhRdONHZ1t7Kjo4U3zg/wJ28c5dLEDK3pBLOFEj86cxnL9ZdMlnQjBEGlluxMoUzZdbEcj7LtgoDLU3OcGp4gpGtEQwYtycpCRdFy+OM3j3J5ao4NLfU0xKOEdZ1s2eLt81cYmJrj+R0b5xMpBVKSKVr8X197hVQ0TFd9ilS0knxmPJPjjXMD+IFka3szdbHI/D5lx2U6X6TsVPqVK9mUHZehmSwnhyr9ipg6zckYqqKwo7OFx/q6+cr7p/idHx6if2KG3oY0Bdvm8OURTg5NsL2zmRd3b0ZRxG1L8nWnaQ+3sim+gffnjtERaWNjbB2GopNzC5T8Egk9Tm+0G0Wo7Evv4vXptzmaOV4RTULhVPYsA8XBJePaJBK/Kk6klIt8eeN6jD3pXbwzc4Rvj73Ewfp9tIVaCPApeCUUobAh1gtAVI2Q8yrxb62hZqbtWd6ceRfLt5YUz5KK+6SUFSvzg/FtLI8QCroIo7P65EkRKsoatlWFjqpWvjeV1UXc9dsv389KVmONlYVNJXmShqmu3VtBCGXVY69tm8pE/EbaLvtZxstnSBgtNIY2oiu3q2zTnUUTKuuiXZiquaIFLa7FMKqLFr4McIOFi31e4DHjzJJxMqhCJaHHaQk1rVpmJaSYNJmNxLUYGTdL1s0xbc/SFFr4HmwKNdIXX8+huaPk3Dxncuf5r5f+gK2JTfPlvNbiKrwcpmLSGm6eL8u0FAoKnZH2+RCJnJtnxs7cdJsPIpXFMIWoFqlcp6teZQ/8E/TmyBct3jx6CUPX6GhOEQ3fWHKmq/daLGLiBwHmKuUbP0rcN2fq+dM4/jBeMIeq3C/ucTUeZFrq4vz8c3vJFq0FYjNkaPzqZx4mV7RY31Y/n0hIUQSt9XF+6qldWM7ylrTOphSp2MJyQUIIdE3l0W3ddDYmmS2U8bxKnEE6vnAisndjOw3JKNHQ4olafSLCTz21G8tx6W29VkalKRXjs49uI1+yF+1zldb6BA3Jijt0YyrKzzy9m6d2raf+Q+2HTZ09G9r5F3/zBTZ2NBJbQ02zTW2NvLBzIyB5u3+QY1fGMDWNuliYR/q6aEhEGJjKLNgnHjL5if1bCZs6RwdG+d7xfsKGRjoa5qHedmaLZY4MLJ2YZ60UbZe3+4f4q/dO4AUBnh8wmausPn7r6Bne6R9EVxXa0gn+2ReeA0BTVQxdYzJb4Mr0HEEAqiowVBVdU/nU7s08vW09jYnKtRSI+YWQc6NTnBgcrx6nkhE5Yhr83WcOsK+3nXj1WlqOy7ErY/z+jw7jBQG+HzAwNYftebx8op/jg2PVeroG/+wLz5EIh4iFDJ7euh5T03jj3ABvnR/gjbOXK0luNJWntqzjyS29bGxZuqTW/UqjWcfB+r1IJB/MneTI3PHKNRUareEWdqYqbpeqUHiobjfT9iwXC1e4VLxCTIsS12LsSm3nbL5//piXi1c4njnNUGmErJfHl34lu2jmOGk9yb70LnaktmIqBr3RLn6i40XO5S/wg4kfVS1mCmkjybbktUSBB+v2cWjuKG9Ov8sHmROElBBxPc7mRN+CmNyR8hhH504wUBqk5JUp+kV+NPUOZ3L91BtptiT6OFh/c25qNX688KWHF1hYfpbR0nHGSifYGH+WsJpaFEt8v6IIhQazftU6rJV4+avCbnFehLJvUfYsPOkTUkySenzJRasPI4QgoccJqyEybqX2bMbNLhKwIcVkU3wDn2x5lh9OvsmkPc3l4iBzToazuX6aQo10RdrZEOtlXbS74gZ8Ay6tmqIS12OrWhFjWgRTMVFQsHybsl/+SFkfbd9h1pljpDzGjDNH3itg+TZu4OAFHh4+Ra/EhDX1kcsVcqNIKcnlLV5//yL7d3TRkI7demzqR+M2WhP3RMD6QRHXH8PzR3H9GfxgBscbpmS/D3gE0qLsnmQ88y+XPYaqxKiP/20ECx8yfpDHck+TL/8QAEPrJBZ6HENb2TffD7KUnVMUrNdBCHS1lUT44+hqJROm509Tco5Qdo5jaF3Ewx9HICg7J7HcMwRBCVVJEzZ2EjK2oAiDQNrY7kXKzjE8fwKEiqF2EjUPoqmNiFXiqirXaQTbvYDrjxLIIlJ6CGGiKmkMrR1TW4+hXc36uPqdW3KOUbaP4gWzmFovqehPVD+RON4otteP4w3hB1mktCttiRia2oKpr0NX21GVO1+z63YQNnV2rV9cAxfgwObF94OqKNQnojy5a/1Nt5mORxYJ1g/T3pCkvWFp97BIyGDnuoUxCkII0vEIj27rWXM/YmGTXevbWOpUdE2lrT5BW/3aEzWko2Ee2dhFXSzC4HSGkuNiahrtdXG2tDezvaOFkbnsgtIuQgg2tzdh6jpb25uYzldqftbFIuzqaiVbttjR1UJ3QxpdVdnYXM+vPXuQrR1NmJqGIgRPbullW3szG6o1URWh8AuP76YuFqE5GUdTFZqSMfb1XnPxfKyve2HnhSAVubbgYOoqj/f10JqKM1eoxOFKIKxrNCSibGiupy2dwNS1q7sTMXQ+/9A2RmZz5MsWjh+gKoKoadCUiLG1vYm6WBitmi1ZVRTqY5EF/Xp0Ub/A1DS0agZKIQTtdQme2b6ejvokg9MZCraNrqrUx6P0tdTTWZ+at1orQrCvt52QrrGlrXHJUlDP79jI9o4WdnYuTmpyK1wt79AVaa9aYLp5ofkZTMWcL5cT06IktDimatIZ6cBUTC4Vr5B3C0hkxXISaqDRrJ8//0aznicaDzJYHCHvFQipJo1mA3EtSm+0az6RS1gJze/XjmRrYlP1kgrCamh+O0UoxLQoj9Tvp8lsYMqewfJtVKGSMhK0hZrnz2lLog9TNRm3JnADj5gWoyPSynZvE4pQ5mtMmopJg1mPLwMCAjbG11/9OgmrYZL6jSdAqfHjieVnGSy+z0T5DLafJ2W005d4Gk1Zup76/YhAEFEjKDcQp76UbqkkTassHKtCJXQD1yCkmvNi15f+khl6hRDUG2kebThAUk9wPn+RS8UBJqxpZpw5BkqDXChc4ly+n45wOxvj69gQ6yWuxVZM/jZ/fJRly89c3wcVFUPRUYSCJz086eFL/4GPs7d9h8HSMOfyFxgqjTDtzJJz85T9csVNOKicZ8VbRVbzEty/jE/nuDI6S65o4TgemVyZnZvacL2A/iuTmIbG9o1tbOhqBMDzfE5eGOPC4DS5QhnX85Gymh8lHuLpA33Up6ILKgwUyw6XR2YYmczwpc8fJB69ds9LWbHOnuwfpf/KFJ4f0FgXo1R27rjwdz2fmWKJqVxxkV08ETLpuW6edy+5JyPG9UfJlb5NyTmM60/i+ZP4wRySSoC9lBa2e5Ypd6labRU0pZm62C9Wi71fE25BUKRkH2Eq/x8AiBoPY2g9axCwBYr2e9X9BGFjNxFj7zUBG8ySL7/GbPGPCRs7Ces7sb1LZEpfo2QfIpAFNKWBiHmA+tgvY+obsNwzZEvfoGC9huOPIFAxtXW4/ijJyKfQta4lV92kDHC8K5Sco5Scw1juaRz3CoHME0gPRZhoagOG1kPY2EnUPEjE2IciIqsmfbCcU8wW/xTbPU8s9ATJyOcBj5JzhIL1FiXnCLZ3Cd+fJZAWijBRlQS62kEy8mkS4ecfGAFb4/ZytXYrmxZ/1pqKs6NrsUjSVZW+1gb6Wpd2a97ZdU2sr2+uZ33zQuviY309C35WFMFPPbxzwe92d7eyu3vtiQlURWFTWyOb2hrXtL0QAk0VHFjfCWtc2zB17YbauL6thniUhnh0seD9EIoQq57701tvfjFmOYQQNIeaaL6utER3tJPuaOf8zwfq9i7Yx1QMOiPtdK4QS3r1Wdgb7aY3uvjcr0+o0hJuni+zsxpXxeee9M4Vt4vrMXaltrGLbStu12DW0WDWrantGjVWQ0ofgUKd2UNreBt1Zs+97tKNIUSlDMwtWn4WTclvIaHPchnDNUWjyWygvvFRNsTWcT5/gYHiIGPWJFP2DLP2HOPWJMczp+krbGBveie7U9tpDjWuamFe8hx+THADlzP587w98z4ns2fIOFkiWphGs5600UJICaErGqrQUIWC5Vucyp2j4BXvW9fhydk8P3r/AjOZIulEhMGxWS4OTVGXjDKTKTI1V6Bsu7Q1JdFUhcGxOb7+6gk0RUFRBDPZEpeHZ/A8n+ce2YTnLw4zmZ4rcOL8KK2NSTZ0NRAyr0myYtnm5IUxvvbKcTwvIBI2mJ4rULIcpmYLpBN3LsSgaDscvjzCm/1XFoUqbW5t5Jcb7w8Po3tkgc1ief043iAAqpJACBM/mCWQRUBBEdF58bgUqloPKNx9e7mP6w1XxGn5m5ScY9XfKzj+IE5pEFWJkwi/SLb8DXLl7yOlhypieEGGsnsCNz+JpraQUBoWiUGJxPEGyJS+Qrb0DWzvAqCiiCiKUqmBJqWL50/ieIMU7XcpWm/SEP9VoubDqEoSsaYHrUsgC0hZwnLPMpX7TxTtQ0hpIYSJEHqlFIa0cf0xXH+UiLkbucYafDVq1KhRo0aN5Ylq9WxNvXivu3FfYKoGmlKZkvoywPKXD5f5MLZfcU+FivU2oq4Wm63QGWmjM9JG0SsxWBrmbK6fC4UBxq0Jpp0ZTuXOMlwexQkcHm94eNVFq0qt1pVrRV+tye1Kj0AGKChoQl2TOL6fmbCmeGXidY5lTyKlpDnUyOb4RrYkNtIcaiKlJ4moYQzVQBMqE9YU/+HCf6Pole5bAQswnSmiCMGju9fR1pTkd/7qbX7y+d185ukdfOXlYwyMzDKTKRING7x7/Aonz4/xj37lWbZvbGNkIsNXXj7GldFZfvrFfTSmF4ZGep7PyESW/iuTPHVgI+HQQm/S0cksbx65yNhUjl/96cfpbk0zNpXja68cZ3I2T1/PnasRXXQcjl4Z45tHz+B/SMBmSxa//LEfYwFraN3URX8WL3ytVI7rDZEtfYOyexxFhAkb26iL/fKyx1CEiRDmXdavlVqFXjDFXOkvkdImZj6BptZjOWco2m8jcciUvoEfZLG9y+hqKxFjDxCQL7+G41/BCyYo2UcI61tRjc0LWvCDLDOF3yFb+jZeMIUQYXSlmbCxA1NfhxAh/CCD5Z7Dcs/h+zOUnKOMzv1T2tK/RSz0KArxNcRuSIKgRNk9w3jmt7DcMwihV63VHahKEikdPH8S2xtASpuQtgld++ik4K5Ro0aNGjVq3HvCSoiwGkITKq50ybpZ/MBHEcqK8xkpJTmv4qoKoCs6SX3ttd2jWoQtiT42JzZS8IqczJ7he+OvcLk4SNbN8d7sERqMOh5vfHjF43jSI+fmV41nLXllLN8iICCshgip4Qc+/vX9uWNcKQ3jBC4toSaebHyUT7U9j4q66Lu7WibNDfx71Nu1o6kKrQ0JDuzsJhY1cTyfAzu72bKumbcbEuSKFvmija6pjE1maW6I01QXJ2RotDUmaW1McvbSBLPZ4iIBmy1YDIzMUCjZPL5vHfqHaruPTma5NDTDw7t6eWRXL4oi6GhJMzKRYTqzOIP37cQPJCVn5cWY+4F7ImA1pQHNXOgqaLmnKNrvgQtC6OhqO8nwaiuTd3vQX0tAULLfpy39f5IIfxJFRCg7xxnL/HNKzmH8YJps6WvEw89SF/sSMfNxAlkgaj7K8Ow/JJDFSqypP0aIhQI2U/wL8uVX8IJJFBElFnqS5sQ/xNT7ruuDJJAWBesNpvP/hZJzCC+YYjL3b9CUOiLmQ6zl2jj+MJO5f0/JeZ+I+RANsb9dteJeH8Ml8fxZLO80prYesUrmxxo1atSoUaNGjRtBFSr1Rh0pI8W0PUPOLTBpT9EUalyxzI0nPSbtaXJeAVWoxLUYjaGby8QfU6PsT++hL7ae3zr77xgrTzBcGmPMmlh1XztwGF9luwDJcHl03lKb0OPUGamb6uvt4vqZ4s3aQgdLwxS8SvLErkgHD9c/tOp3lnEy8+Wt7ldMXcM0NBRFoOuV84lFTFRVqcSyyool1dBVmhsTvH7kAhPTOZrr4wyNzzE0NkcsYtKyRL6RS0PTXBqZYcv61iU/L1kOxbJNZ0tqwZeUTkZIxW+szM6NEgSVKgr3e46teyJgxRLF7pf6+f4r4n3t24wYezG09SgiWkmrrzYRC32MknO4uqUgYh4gYuxGCBWFOBFzL4qIE8gyXjBFEGSvHVn6+EGGTOkruP4YIIiHnqIh8esY+vpFbsEKYWKhxxBCZSzzL3C8S9juBfL2D9HURky9d9Wz8YMsZfswUfNhWlL/BFPrQxHhBdddSomm1hNVDiKEdkcLTdeoUaNGjRo1fvwQQtAVaac70s60PUPJL/H69Dt8uvUFItryE/aT2TNMWlP40qfZbGR9rOeGEkrNt48AASoqKSNJo1nPjD2LHTh40l/Vslr0SpwrXMTybUKquWTip0D6HM0cp+BVLGiNRj2tobXF8t8JBAJdMbg6/y755VXdoJfCCdz5pEyaUDHV5TM4590CFwsDFP3Sfew8XEEIsSgWW1HEovsgEQvz3MN9nL88wb/7o9dQFYWwqdPbUc/PvLiPWHSh4cd1fS4NzzCbKfLFF/asPK9e1L6CqtxZbeTLoFKO8D7nwU57dte5diOZ+no0JTkv9hQRxdTWzX+uq03oahuKqLiyVGoaRtDUevxgFj/IE8jS/PaBLJO3foDrjSJxMbQeIuZ+QvomlCWKoAtRiRMO6VtJRT7LZO7fI3EpWD8iYuxdk4AFiRA6jfFfI6T1oSgRPryQUBlYKkLc2RWfm0VKD88fw/Eu4nmDuP44vj+JxCKQZZAeoFTjekOoSgpVaUBTG9HUTnStu5oRevVSMncTKQMCmcf1ruC6F/GCMfxgGt/PEMgSUtpIfAQqQpgoShRVpFHVJnStHV3tRde6ESJSW3R4QKkkIvFwvUFc7xKuP4xfTXgXBDkCaSNxESgIoSNEBFVJoCqNaGozutaLrq1DVVKrZjy/3/CDLJ43iucP4/nj1QW/Ofwgh5RlpHSQMqAy59Sqi2tRFBFFVa+O8WY0tR1d60IRydo4eEC5Ng6Gq+NgqDoOZgmCfHUcONeNgzCKkqx4eqnNaFoPhra+Og5ure703aYSxjOB4/bjepfxggn8YIogqLwDABA6ioigKklUtRld7cTQNqJrnSirlCSsjIn7x1DQFelgY2wDZ3MXKPtl3px+j85IOzuSW+czi1/Flz6j5XFemXyDcWsSgaAz0s7O5LYlx/pYeYKMm6M11ETKWLoKwNXjTtkzzNhzuNIlqkVWjamFqiXYmuY74z/g+eYniWuxBf2wfJvz+YscmasIWE2odETa6Lku+d3dRlc06szUvCC7XLzC1kTfohJEqxHXIuiKhh3Y5L0C4+VJUvria1z0SpzJneeVydfv69jXG0VVBGFTZzpT5PG969jU20wqHiYVD9NUH18kOAdGZhgamyOdiLB949JheSFDI2zqTM7kK7az6q2UL1rkSzZ1qTuXTDUIJCXHve+/oQdrVnMfURE91x5qQuioSuq6z5tQRfw6a2bF6qwoMRBKVYBcW+GQ0qZgvV4RXYCpbSSkb0ZZQTgKBJpSR8z8GFPiv1SzN1eSY1UyCK+chl6IMKa+mYi5t3oud26CJwkoWT+kWH55yc9VJU3YfJhI6InVjyUD/GAKyzmM7ZzG9Qfw/PFrE/sgj8RFShcIqF6p6os+jKLEUEQMVUmjKvWVl77WjaFvxND6UJX0mhJh3Qk8fxzHPY/tnsZxL+IHk3j+NIHMEgSFa5N3vOq5KdUJvFGZwCux60R6C4a+AVPfhqFvRlESdyzWJpAWln2YQvnbrOSIpCgxIuZThMx9KOLeu6M77gUK5W9Vylwth1DRlCaSsV9cMMbvFEGQr3hUOKdwvLN4/gS+P1W5v2WhWk7LqiZU86mMWxUhjMr9LaIoSqJ6bzdhaL0Y+hZMfQua1o64jyasUPE+CYICrncRx7uM61+pjGd/miDI4MvqmJYlAmmBdJH4MO9+pnDt/M2qgImhiPi1saB1YGgbMPXtaGorygNUpuTHlco9cRnbPYXtnq3eE1fHQb66kHd1HHgsHAchFBGrjoO66sJeD6a+BVPfiqZ13Hfj4CpSSnx/Ass9hu2ewHUvV99vMwQyV30PuNV3gGTB2FfiKCKNpjaha12V8zV2YmgblhHv6n21eBvTomxLbmK0PM6b0+8yZc/w3fFXGCyN0BVpJ6knqvVTLcatKc7mz3M230/ZL9MT7WZPagdt4aVLhg2XR3lr+hCmatBoNtBo1pHQ4oTUEKpQ8GVA0S8xZc1wvnCBKXsGXwb0RDvpiLSt+u7UhIah6Lw+9Q5Fr0hvtJu0kUITKmW/zHB5jOOZU0xUrcWb4hvYFN+4YtktiSSQEi9wcQMPV7oUvRK+rMSPuoFL1suRcbLoio4mNDSlUoJuLe/6kBJiY2wdL4vX8KTH5eIVXpt6m1knQ4NZhyY0fOljBw6O79AT7aQptDizfk+0m/P5SxS8IsOlMV6dfIOiX6LBrEMXOnbgMGvPMlAa4kyun0lrimazkUl7ek1CVkqJL31c6eEGHmW/jB3Y8/tavk3GzaIrGrqiVa7DXfQY9P2AbMFidCLDFz++m/3buxaUxPkwpy+Nky9abNvYSmKZ7Rrr4rQ3pzh8epD9O7ppqY8zly9x+sIYU7N5utsWJxWTgUTKa39u+nykpOy63O95tWsC9iZRRWLBC6Gy+nvtRVDJrPzhG7MqpBAgfbiuDpaUDmXnBIGsuG8YWie62sZqCGGiax1oSuN8rdhKjd05jFUSLqkiSsjYuqbyO7eOxHKOkS3+3tJ9UZsRwlhRwFbcrGexnMNYzhEs+zCOdx4/mINVYikkPkgbXxbwg6kFnwkRRVfb0LX1mPpWkrFfRlXr71piBSl9vGAc2zmJ7XxQnbCdw/NHqQiUlfCR+JXVeJnHD7huWURH1zqrk7ZdhIxdGPomNLWR279YIfD8cQrlb+MHy4tBRSTwgyymsQ3usYCt1Gk+Tabwu/jB5LLbCREhFvpEdUHkzuH7szheP5ZzHNs9huOexXEvIFnNpUsCAVK6+LKIz/R1t42oitiNmPoOQsYuTGMHhtYz//m9QeL7s7jelYpo9S7jeJdwvQFcf6gaXrHWjOc+4COlgy8L1341j4Kq1KFr6zD1rZj69uo1WF/1OqlxP+EHczjuBWznGJZ7/LpxYLPyhOrD42Bm4ThQGjH0jdXvfxchYwe62rtMSNPd52oYke0cpey8h+V8gOOexQ9mWfn9dt05B9PAZWy38l4ztF5MYzdhYx8h4yF0rWfB4uxVz437BUUodIRbeaLxYezA5nj2FP35i0xa0zSZDST0OEq1DMuUPcO4NYkiFHqj3TzecJAdyS2E1KXfKzm3wPnCRTJOlpgWpd5ME9fihBQTVVEq9WO9MrNOZj7mtTPczr70bnqiK5dhhEo8657UDo5nT/PG9Lucz18kZSRRhUrZt5i0p5mwJqvHbeOR+v1sjPXOZ17+MOfzFxkoDmIHTkW8Bi6e9LhUvDLvgjzjzPH2zPtcKFxGExp6VcDGtCg90c4ly5Fdj6ka9Ea72Z7cwqnsWbJunqNzJxgpj1FvpNEUDV962L5LIH1ebH1+SQG7NbGJi4XL5Lw8GTfLkcxxZp056qsi2AkcZp0MU/Y0qtDYm96FJlRem3obd4X3qhd4HM2cYNKexgsqNXPdwMMOHIbLo7hBZd8rpWFemXydmBatCnkVXdGoN+pYH+udrxl+J5FSoqoK7x2/wvB4BkNX0XWVhlSMTb1NtDZWLNJzuRL9V6YwDI2dm9qXFdntzSn27+zmG6+c4Os/OE5dKoKmqjiuT/K6GFjfDzjRP8rAyCyzmSLnL0+SLZT5zo9Oc7RxmLpEhEf29BINr32+ddUCe5/r15qAvVmECCEWBakr131uLum2d1UUyWoxZ6jc+BIHxxvm6qRNU9JrsvYIISpJr7Q2vGCy+hKcwQ9mgJUFrBAmhtrBffHyDgoEMs8CX4nrCIISrj9I2X6TXPEr2O5x1j7BXaVtWcTx+nG8SzjeWeLRL6ByNx54FTdhxz1P2X6LgvV9HPc8Ut6uDHNuxeXOu0TJep2Q+RDR0LOEzYfR1d7baoVShImudRMydlK0Xlp2u0CWKNtv4Qdz1fjxe/cI8v0pHPfciuIVKuEB0UglWdvt5qp7pOMNYDmHKFqvYtmHVu3TDbSA709Q9iew7Pcp6b1EQ88TDT1dscqL2F3zNrh6rp4/iuuP4LhnsewjWO4HuN4VVl+suVmCivu9M43lvIeudhMOPU409CwhYzeaurTFpsbd45qb8BXKzvuUrB9Stt9dcTHsBlvADyYp25NY9vvoWg/R8HNEQ89gaFXvlHtYyiQIytX329vkS1/Fdo5VBfvNI2UR2z2J7Z6jbL9BLPwi0dDHMfQt87k7BPodea7dCiE1xMZYLyHVJKyGGCwNk3GzDFaz3EokmtAwVYOWUBMtoSYO1O1lR3Ir9WZ62ePWm2k2xHoZLo1S9EuMlScYlCMEsjIXu1rSxlRNmkNNNBhp9tbtZm9qJ/XG8se9SlyLsb9uN3VGqhKXa08zUh7DqYosXdGpN9I0mPUcrNvH3vRO6lcozXMsc5Lvjr9CqZpdeSlmnTnemXl/0e8bzQZeaHl6VQGrCpW0nuTjLU+jCY0rpSFyXp6h0ggDxcGKT4NQq5mdE/OC8cN0RFp5uL5SWuViYYCsm+NMvh8/56MKBV3oRLQIjWY9O5JbeCi9mwlrijdn3sP1VxCw0uOVydc5njlNsMIizmBpmMHS8ILfCQRbEhsJq6GbErCJWJhNvU2kE5UwrETU5GP7NhCPhBCKoKe9noZ0jEQsRMlyuTwyQ097HWNTWcancwgBUkIkbDA6meFnXnwIIcCyXZrq4qSTYXral//+04kw+7d34Tgex86OMDaVo6u1joO7etiyvgVFqcyTAykZm8px5uI42UKZVCJMKhFmZDLL1FyB9qYk+7Z3Eb2BKMAgqMTA3ox+tTyXsVKOzlgaVYgFAj2QAZbvkbEtmsIxtFuM5a0J2Bvi2tdZedktf/Er4natwjCouoVa1/ZXIijK2u44gYIqkgjUyhp0UK642q22n1AX1aG9VwSyXHWN8heJmiAoYbunyZf+mlzpr5Ayf0f6IIRByDhYebnfYVEvpYcfzFC2D5Et/iFl+y3u3AQeApmjZL2C7RwnEnqaZPQXMPWttzVGVtfaCZsPU7R+wPIWAw/XG8J2T1dc+8Ty7lN3FonjXcJyP1hlOw1NbSRiPraER8Ut9kAGSGnheP1ki39MsfwyfjB+W9tY0B4WjnsG171IyXqNdPzvETYeQlUb7nhsYOVcSzjuWQrWSxStl3G9y8g1PKduN65/Bbc4RNk+RDL688Qjn0dV6u6pgPlxRsoAiY3j9pMr/ilF6/tV75M71B42jncOJ3+JkvUaqdivEzYPVsOC7n6MbBCUsb0z5EtfJV/8s+pC7u3ExfUGmMv/v1jOMdLxXyVk7EMhWXE9vok5QEg1aTTr6Yq0E1bDRNXIqomTVKHSaDbQFWknoSWWjJG8iqmarI/20NXTwYncac7lLjBqjZNz8wSyUn6m3qxjXayH3ant1OmpZS2ZV9ma6KPeSHMuf4Hh0igzzhwFr4ATOARSogqNqBamwayfj7ttNOsxlLXdE5IAXej8RPun2JzYyInsGYZKI9XSOhULbXeknX3pXXSE2zCXsRRfJabFaA01r2ihXI6kniCqrm1hQlM0diS30GjWczxziguFy0w7s9i+hRAKIcUkqSdoDTXTElq69qhAsDe9i5ZQM6eyZzlXuMiUPY3jOxiKTlyP0xFuY3tyMxti66oLECZdkQ7KfpmoGllyziUQ1BlpOiI3V76xzqjDUG7O06unrY6e69x0u1rr+K3f+Oz8z594fAtQyUJ85tIE/+Mv3+aFx7fwyO5eUvEwEhiZyPDKO+f5+qsn+MnndmOYGq2NSX7pcwdWbV8IQUMqxuee2cnnntm57Ha6pvLJJ7byySe23tR5LoUvK1mIb4ZJq8AfXzjKP9jxOFHNXPCtukHAaDHHD0Yv8HPr9xA3bs0LryZg51nLWsP1X4Wyij5dWwxChYBALlxtrQjgtU6oBIpizvfvWvzn6vtxQ0L7ThIQyBKBLKCK1PxvpfSw3A/IFn6XQvk7rOYqfCsIYRI2H7njCaukDPD8CfLlrzKX/y8Ewcwdbe96/GCafOmrOO5p6hP/hLD5KBC6LSJWVZowjT0oSoIgyKzUC0rWK4T0bahKnHtx/0kZ4HoXsZ1jK26nKqnqosbtTQJUiVEpYbnHmZr7pzjeJa53/r6TSBxs9xiTc79JOv4/E498Fk3tuKNhBJU2TzM6/UvXeVrcSwJc7zyz+X+LH0yRjv0aipK6DzPff7SpjAML2z3FZOaf4rjnYVWX+duFi+2eZCrzj0nH/x6xyOfR1a67eg9I6WO5x8gWfo9C+Rvc2XHhU7bfxPOGqUv+JtHQ81UBu/aaqVfZEOtlQ2wtiSKvkTISfKnnp9e8vRACQ9XZl97FvvSuG+3iIgzFoDPSTmek/ZaPtRRSSryqV9jWxCa2Jjbd0vE+2fosn2x99nZ0bU20hJpoaWni4zx908doC7fQFm7heZ5aU3v/fNv/Z8VtTNXk76z7xZvuz92gZLkMjWeYmivw/KObaUjHUBWBlKAIQWdrmjePXKJYtiuleNT7Yb69PFLKah3Ym5uPzFglvjpwgl/d8jBR7VqGa6hkN56yCvzBuUN8tnvrLQvY2tt6Hp+79+L8MOqiZE1SetXkFGtBEgQWV19+Fffl+ycxw1qR0lokfEr2m8zl/1M1+dOdrRkmCBExH14xcdbtwPUukin8v2Ty/4kgmL2jbS3TA2z3HJOZf0LR+j6BzN2m4ypoSiMR80lWfrQElKzXqrFd90bIeP4wjttfjZ9eHlVpIBp+5ra3HwSzFMrfYWLmf8LxLnK3xOuCPsgCc4XfJlv8A1zv0h1tS2Ciqe1oahdw/2SCDYIs2cLvkyv9ZTV+sMbdJAgyFK3vMz7zazjuOe7FOziQReby/4Vs4XdxvAt3tW3LOUQm/98olr/H3XoWuv4Qs7l/T6H8jYrrrLhxAVtjGe71ulyNu07I1KhPVazdL711hpGJDJl8mcHxOV559zyvvddPT3sd6WRk3u33fiaQEtf38II7M9/2pSTn2reUZOoqNQtsFSnd+QzAdx9RzSIYrZbWkdUMi2VgdTcQSYAfzCGrmekqmUjvz7I3KxHIMn6QQaeyCmS7J8kWfo+yfeiW44FWQ4gwhr4BVW1k7ZbvG8dxL5Ap/A6F8nfwgww398arZFNGaNWsxDdz33p4/jgz2X+FxCdqPoWqLh+PsRaEEKhqHdHQsxTK32L5BQeJ509gO6fQ1S5U9c7HG38Y2z2F451j5etvoGnthIy9t7Vtz5+iaH2fufx/wQsmubmFGQUhwggRqmQ0l2Vu3AVdEgQ5csW/QkpJMvrzGPq61Xe7CYQQKEqCRPSLzOb//S0u3AgElbJYlYzu5aor8s2MJUkg82QLv4Ou9RAxH7spl8oaN47nT1OyXmE2/9t4wQQ3Pw5CCBGullYqc+O5ESSBzJEvfQ2QJKO/hKFvuIm+3Bi2e45soRI+cnPvNw1FhBDCrNz50ia4msRsRQJcb4Bc8c+RgYUiavd7jdvDRK6ALwPakvcqNOjuo2kq6zoa+NLnD3L0zBBvHxvAc31UVSEeDbFtQytP7t+Acodrt94u/CDAdm/sGeoGPqPFHOPlPP3Zadwg4Mj0CEnjmneflJIpq8Cb4wO0RuKot8HT5aMnYIWA62KZJAFrmdj4sojn3wtr2LVETIa2Hts9i8TBC2bwglm0VSb3FRcsG9cfrqbVB02pR7tFMXIvkEEJP8hU4kP9KTKF/07ZObRizKsi4qhqC7rahqo2oirJiguw0EB6SGkTyCK+P4vvT+AF49WSKcGHjpMgpO9GoN+R1OsVt4wpssU/pGi9XM2EvNp9qaIqSQx9M7q6Dl3rQlXrquWRdCpC20VKhyDI4fqVOomO14/rDbGWDMauf5ls4fdRRISI+fiqdQNXQxExTGMXmtpWjWNb7kHoUXbewzR23XUBK6WP7ZzGcVe2tmhqCyFjN4qyfKzWjeIHOUrWq2QLf4TrXWYtk3YhIhjaOnRtQ7VucQuKEkVgINAqWahxCIIivj+J6w3geBex3TOsxaLlBxMUre+iKGGSyi+jqTdWA3CtKCJMLPwJ8qW/xA7yrGx1Figija61oamt838UJVXNmq7D1YzueJUsrMFsxbLuXcJxz+H5Y6xVFLn+EIXyt9DUVkLGjls+1xor4wd5ytbrZIu/X7X+r2UchDG03uo46KneD0uNgxK+P4XrX8bxLuK4Z9cUa+0HkxTK30eIMKnY365ma7/9XI0Hzxb/mJL9NoHMrmk/QQhDW4dp7KjUd1Ybq2NBAwkSDynL+MEMrjeE457H8S4syrpfwcV2TwM+qnL3FxBrfDQ5OTpB2XVp2/HjI2AVIUglwjz78CY2dDVQKDl4XkXAxiImTXVx2ptv3xziTuP5AeUbFLBeEHA5P8sPRvo5l52i7Ln81zPvoCsK11yIJb6U6IrKz27YS1S/dS/R+0jAKvN12SpZeW82w6y6oP5pIAtrigf1/Rkcb2CVre6cf4jAIGLuwfEuI6WD413B9YYJ6RtX7pEs43gDeP4c4KOIGLraiqqsnjXvfiOQZXy/Uss1W/wTStarBItcPCvWF0PfhKlvrk5k2lDVBlQlVc2qalC5tSulNQJpVevDzuEF09UsqEN43hVcbxA/mEVVEoTM/dwJr/rK/WyRL/4VxfL3qxPrle4lHV1twzR2EzJ2Y2jrqufYXC3PpHMt3llSsaQV8f0pPH+0UkPUPYFlH8Hxzq7SlsRyPiBf+iqqSBEyD9xSDJgQOpraSNh8hGL52ysmJLGcw3j+J5Byy13NRuz5Q9WJ3coLVrrWSdg4eNvqRUrpUbbfIV/6GrZ7kpUn7QqKiGMaOwkb+zD0jWhqJ5ragqrUVTNIX+uXJEBKG9+fw/fHcP1hbPcMlv0+tntq1Umy6w1SLH8fTWklEf0ZKpat27uQI4SKrnUQNh/F8yc/lGlZIISJpnaga10Yag+a1ommNqMqDdWatvXV8W1W79FrL0YpK5bUinAZwfUuYDlHsezDuP6VNfROUrZeJ2I+iqGtq1lh7yBSelj2IfLlr2I5x1l5HIjqothOQsY+TK2vel+0oCr11XFwrQyOrCZEDPw5PH8M1x/Bdk9Xa4afIpArhwx4/jDF8ktoahvJ6C9wJ8aBxKFgfY+S9coy4nIhFeG+nrD5KCFjF7q2Hk1trS7WXvcukBLwCYIcXjCJVxWxlnsMyzmyKDGWlEVs5xTiPqjHXeP2M5ErcH5ymql8EYkkbprs7+6g7LpM5AvETJONTfW4vs8HQ2OEdI2S42J5HgXLwfV9GmIRrsxmONDTScTQGZrNMFsq4wcSPwhoTyfY09FGwXE4PzHNK+cuUnRcAimJGDrPbFqPAM5PTjMwM0fBcoiYBj31KTY2NfD+lWEs12OuVCas66iKgu157O1qozUR5+ToBENzWcquh6mpdKaT7Oq4uYROdxJdU2muj9Nc/+C743tBgHWDAlZTFFojCfY0tKMrCucyk+xtaCes6fNvaYHAUFWawnEea+4hpN56KNF9I2AVYVasZlQe8H6QQ8qAysRm7S8QRRioyjXro+tP4QWzBNJBWSYu1A/y2N5lbO/yKke/c/7riggTDz1Fvvx9Ar+A7fZTdk8TMfejLmMVk0i8YJq89Qqyas0I6X3oWmflej5gSGnh+UOUnUPkSl+uxiden/k5gq72EDJ2ETYPEjL2oKkda87WXGlDVsvmXMbxzuO4Z3DcC6hKHSFjO3fiO5ayTNk5TK70Z7j+KCtN2BQRw9S3Ewk9RcR8AtPYvmJmTFGdvKlKHFWJY+jrCMn9eN7jlPTXKJS/i+UcRsrSCj10Kdmvo2tdaFo7utZ50+cKlRJTsfAnKNuvE/jLC1jXG8RxLxIy5u6YtWMpLOfoqmVbKpPGSt3Q24Xj9VMofwvLObRy2xhoWgcR82NEQs8QNh9CEYkVFxZE1aVY0cLoWhum3EMk9BRlvVKeqWy/hecPs/xiho/jXSRf/mpl0UTfzO13pa/cq7HwJ7Cc9/GdaYQwUJVGdK27al3biKn3YWgbbyA7cuUdoYpk1WNhA4E8SMg4QFF7iWL5e9UFg5UXIL1gHMs5QcjYi6GsvHBY4+ZxvIsUrO9Qtt9h5XGgo6ntREIfIxJ6mrCxf9VEW6LqUqxorWhaa3UcPEnZfpti+SVK9pt4/iDL3wsV99p86SsVwaxv4nbGbEvp4nkj5Ip/tKY634pIEjL2EIu8SDT0DNoKteEr8yQNVa1DVesw9c2EzUcIuecoWi9Rsn6A7Z5d0KbErtQQr/GR49L0LC+fvUAiFCIeMvGDAC/wsT2P06OTaKrChsY6HM/nu6fP83BvJ4NzWfKWTclxyVk2LfEYk4UiuqrSnkrw1sUrlByX7vo0mVKZ4yPj9NSlkUDessmULUqOw1yxjOtV7rNM2eLtS0NkSmXCho6bzTM8lyUdifDO5WFURTCRK6CrKmFdI5ASU9NoScR5+ewFyq5HImSSCJnURR680LgHDc+/cQGrKyqbUo30JRvoSzby7uQQv7L5IGkzjFLVbwKBIsT8z7eD+0bAqkqiWo9MQUobzx/H9YbQtQ5uZCKliDCG2oYiItWYymks9xQRbzeG1rPo5RcEJcrOMUr2oVUtMncSIUyi5qOY2ib8IIvrj1C03yVs7CRq7ENRFsbCShngBxlKzlFy5e8CAUKYxEJPYOrr781J3CKBzFF23q9a5hauFitKClPfSSz8KeLhz6Io8ZuyFFbctWOEjB2EjB0E0sLzhvCDOTT19q/sSenh+WNkC7+D6w2yktukEDFC5n6S0Z8nYj5501YgRZgY+jo0rQ1T38Zs7t9hOe+vaA0NgjlK1utVa+8Xb8kiKjAIGwfRlBZ8f2p+cWUxPrZ7Atc7cFcE7FULRdlefH99GF3twNA333Jc8FWCoESh/C3K9nsrxqkJTHR9PfHwp0lGv1SdsN/4A1+ISmmtWOSTGPp6skqaQvmbVRG7NFKWcdyz5Ep/Tn3iN4HYHXGnDxl7Cem7kdJHVesJ6XuIhB6rxhrfHhd+RYQIGTvQ1XY0tZ3Z3P9T9XxY+cVsuydxvH6MVTxfatwcQVCiWP4uZfutFZ9HAgNd6yUWfpFU7FduOkN0ZWEjQSz8Aoa2HlWtJ1/6Kp4/tOw+lXJT58gV/4T6xG/e1uzUfpCjZL+OZR9FruLeL0SYsHmQRPTniYaeuqkSP4oSI2zuw9DXo2s9ZPL/Fde7tGrbNR58HN9HV1UO9nTQGI9SH42SDJvURSOcHJ1gcDZL1rKxXI+JXIH1jfXkLJuwrhM3TWaKRaSEg72dHLoyQjoSxvZ81jfW8XMHdnN5eo7f+t4PGZrLsqW1kaf7erkwNUPBdvjSI9fyRlyammU0m+NjG3p5bH03x4bH+Mqx01yYnMEPAtY3NNCWiJOxLOJmRahemp7lGbmOvO3Q19RAX1MDjbEI6ej9VbP4o4gXBFjOzXnACiFIGiGeaO0lounoinpbBeuHuW8ErKbWo2stKCJGIHO4/hgzxT+kPvYlVCVBxV2u4i4pZQDVFfcPT3bmXRiNHZTsI0hccqXvoCl1pCKfr8b4KdXjeFjuOWYLf0zeeg2BeceTBS1HZcIZJR37abzcNJZ7hqL9FiAR8V8jpG++zl0owA+KFO23mC38Po43CAhC2iZioY9hqLdmQbtXeP5YNT514aq0ImJEQ8+SjP0yYWPfbW1TEaE7OlkNgixl5z2K1vdZ2QKkEDYfoi7+vxIy9t6WmpSKCBE2D9CQ/N+ZyvxzLOfQihMX2z1FyX6DSOgpNLXlptsVQkFVU4TM/bj+CH4wsXybzkkct5+Qsf+ulK/wgykc99SqGWcNfTOmfvtiIW33FMXyq3grurMKdL2XZPTnSEZ/8bbVpDT0PlKxv4UiTOYK/x0pi8tu6wezFEpfJxH9KQxtI3D7s5kLYRCP/hTx6BermYnv3OKFqtYRD38aP5gkk/8fH3JbXozrXcD1BpEyqJXUuQPY7hmK1qvV+O/lEOhaD4noT5OK/cptHAcbSEa/hCBEpvCfCFYYB4HMUSh9jUT0ixjKVgS3XgO6Uj5tlFzxT9YQIiUw9R0kY18iYn7slt8HqpIiEflJhDCYzf3bNcff13hw2dPRhq6o/ODcRabyBR7f0MMzm9bREIvSVZei5LocGRzB1DR2treQCJkoQmBqGlHToOy6qIpAVxW8wK+4IYdMYqFKbU9DU2mKxciUynh+gKlel3tGyvm5+XSxRDIUImZW3iURQ6cuEmYsl593NVYVgRcExEwDVRG4fmUO+CuPPMTL5y7w54dPUB+L8OTGXg70dNzSdZFSki1bBEEtZfRSzBRKzJVuPqFtZyzFP9l9+ys3LMV9I2BBEDH2UDKOULTfxA/mmMn/D0r2O5j61kpSIhngywJ+kEXBpL3uX7KUe4+qpKmP/jKWcxZfZnH8QSZz/4Fs6duEzd1oSho/KGK757DcU3jBHKa2EUNrJ2+9cvdP/TqS4U/iuJcIgjyOf4WC9Rpl+whhYyemvglFCeH7GSz3NJZ7vvoSrlhbmpL/kJC+lQe3OlLFQrYQQTzyBZKxX8LQbq2u2r3A8a6QK/4Rq4lXVWkiHf8HmMZObvf3Z+hbiEd/kkBmsN1TK2zpVSeYL5GM3nrttYrr3lsrCljXv4Lj9RPIDKq484nHStYbeKsm0NKqMda3z304W/wjXH/lEAVFJImFP0s88kVu96O54or5LI53qVpvcjkkvsySK/4p6fjfv6WFjJUw9e3V/7vzZQWEiJCO/V3K1luUnfyKWbsriaAmkLKEELeW0KzGYnKlP8X1Lq64jSISRMOfJBH9WW7/OGglGn4a179AvvSVFbaU+DJPrvSXpGO/jnKLYRVQWcx03DPVZ/DKk2dFxEjF/g5h4wC3732gEw9/Dsc9Q770lVW9UGo82ERNnYe629nX3UamZPHrX/4aG5vqaYhF2djUQN62+d7pfhqjUT6zcwuJ0LVFmuWeyjPFEvGQSSDBcj2G5rI0JWIYqgpC4AcBru8jrztGZzrJu5cH50VRzrIZy+Z5dF0XQ3MZVjLQNSWi/Nz+XViux18eOclXj52+ZQHrBQH/x1//gLnivao6cn9jex7T+ZVCzu4f7isBGzUfxvMnKyU2vAtIXMrOGSz3UnUFsmp9BQytE4lccqApIkIs/AT13t9itvhlPH+cQBax3LPY3kBlZV0GBDhI6RA2dpKO/gyqkqBov7NCOZ07v2IjhEpd7BdQ1Trmin9B2fkAX+YoOu9Tdo9TcbH2K6UzcBDCJKRvpSnxD4iY+1BE9I64/d0roqHniIVfxNDWPXAWEc+fxnY+wHZOr7idIiLUJ/8xptZXyah525PnKMRCL2C7p3C9wRVd91xvkJL1JonIT3Or7pwhYy+a2onjnlvB8itx3AvYzgkioSdvuq21ISnaP8QPZlbcytQ3Y2gbKmVabrVF6WC7Z7GcIwTByvV245HPEwu9UE1UdLvvAYGpbyUW/gxl+90VLZFSOhTK3yUR+WlUpemOjLu7OZYrl9IgGv5ENVP3ygKqImLHMZQ7X0rlxwUpvflxsFrt5Vj408TCn0IR8TsyDgytj1j485SsN1exyPsUy98nHv4imtp2y1ZQ1x+iaL3K6vMIQTz6U5jG1mqprNtzDSrHUUlEfgbbPbekt1ONG2NPagcbY+twAgdd0Unq90f2XSklb10a5OvHzqCqCn4QsK+rnbqqC25I10iGQoQ1HQk0xaPo6urPZFNTOTo0yuBshpLjsLerla66FLqmIoDe+jpePneRf/yV79JTn+bvfewg6xvr2NbazOv9l/nuqfOEdI3tbU1sam7grcuDy7YVSMm/efmNeeFrqCp7O5ePAV/7tYEzo5NM5Zf3wPhxplIx4+a1ji8DMnaZrw+c4lx2ioxj4csPVf1A8H8d+CT1oVtLlngfCdhKSZR4+DlUJU3B+hEl5yiuP0oQVHzxhTBRlQSa2kLY2FFNYLMYIRQUEqSjP4Wh9VCw3sJyT153rErSm7C2kYi5j6j5CGFjJ453GU1twVnWveluCEOBptaRCL+AoXVTsg9Tcg5hu/14fgaJhyLC6FoHpr6BiLGHmPkwpr65mlL/wRJ5K6Fr64hHvoBp7HwgMyW63iVK9psruqULEcbUdxAxn0BREnds8UFRUoSNvdjOMSzn8LLbSVnC9QawnOOEbtFdWxExQsYuHPc0rj+w7HaOdwHLOX5HBWwlFnkc2zlJEKxcKzFk7KkK2FsfS4EsUyh9Dd+fZiWXPV3tJWw+jL5EnP7t4mqt44j5KPnyV1fYMsDzJ7CcY6hqyx0rq3P3qIypiPkEhfI3VhWwQZC7p/kQPopIaVMofxPfX7nusa52EzYPYmjr7+w40NYRCT1BvvTXLC8oJZ4/ie0eQ9c60NSmm26z4j48guW8v8qWCoqSIh7+DJrSckeuwdXs6q53cRVX7hqrEdHCRLT7M7HQpuYGfnb/LhQhkEiS4RDN8YpgUIQgkBIhYEd7M6amIoTg4d4uAHRVwfF8hBCEdY26aIScZRMzTXZ1xDnQ04GUklQ4RNTQ5+Mc9/e001WXxPb8eZdhU9N4fEMPW1ubsDwPQ1Wpi4aJmQaf3bGFeMggkBLPD9BUBYFgQ1MDqqLwmZ1bcLyKu31I06iP3Y4YWInteTecqKjG2pguF/nTix/wyugFOqMpUkYYdVGoJygftTqwQgh0tZlY6EkMrZe49zSezCADu/q5hhDhqohtZKXkTkIoGFonqpLA1PtwvZFqjVEbhEARITSlAUPrqqakrwzs5uRv4PmzaGoj+nXuc5rSRDLyqfkESWFjdzXp1NX2dEyth9bUvwDA1LoXZXNVhEFd7JdJBC8CChFjL0sj0NWmSt+1XqLmflx/omIZlj5C6ChKHF1tQlc7MbTW+f1W46qV1gtmUJU4EWP3mva7F8TCnyJk7KnGQD9YVEohXcB2j664narUEYt8Gk1tuC1xr8shhIKp78LUt2I5R1hp0uYHM1jOu9WkOjd/bwihEDL3U7bfXlHA+v4kjlexCGhq8023txJSlinZb1atrytlH45i6jvQtFtzU6q06eMHsxStlwlWzAJdcbc29M03lFH7RhFCoCnNRELPkC9/nZVj4Dws531C5r6PgICtoGkdaGorQoRXdCMOZBF/FWt5jbUjpY8vs5SsVwiC5b0/AMKhJzD1rXd8HKhqA9HQcxRKX18hyRxUxsERwsb+WxKwfjCL612uWj1X6luIsPkoutZ7WzxAlm7DIGzux3IO1QTsRxQhBE3xGE3xxWEQQ3NZTo9N0j85TTIcYkd7C4pSEROtyaXLwKQiYc5PTKOpCi2JGDvblw4taYhFaYgttqo1J2I0Jxb3pbdh6XKPjVSOsa315sdcjXvDnFPmtbGL7G1o5/GWXtJGeIlEToKo9hEqo3MNgarECBtbCRu3HoOmKkkixg5YQ3F6XW0iFfn8kp9paoqY+iix0KNLfi6Ehq610hD/W8seXwiDZOQTa+o3VBMMaZ0YtyH+5iohfRMh/X6PJVVRlXqioedQ1UbuV4G9Ep4/geP24/kruaipaGoL0dCz3I2hqKnt6No6FBEnkMtP0CuJp94nRaWM1a1cf1PfhK6vRzjvLVvKR2LjeoPY7sk7JGAlgaxkP11JuACYWh+6vg5VufV6boEs4bjnqiV7Vso+HSZiPoa+QomM24WixDH1rahKXdXKuLyItdxjVcF/fUTTg4siDDS1DUVJ4vvL3wdS2quUnapxI0hZxnHO4noDKyaREyJExHwY7Ta+75ajUq5sG6pSX42JX35Ry3ZP4AVTmLcwDjx/FMftZ7Us2IqIEgt/4o6HAhl6H7q2nv8/e/8ZL0mW3ueBzznh01/vb3nvu6u9nR7XM4PBYOANQQACCWJJrcglJa24+0FaSmsoaSXuUqCkJUGBhECQAz9+0NMz3T3tq6vLe3OrrvcmbfizHzLrVlXXdVXXlOn74DeorsrIiMjMOBHnPe/7/v9C2Cjlrtpx1pkfLwo5MTHI2akRTE2jPZHlxbZNK5KZWogbT/TmdJJNDfU0zRFwzkUuYbO/o3XdymadBfGjkDG3xGc7tvFYYwcJfeWFIG/wAAaw63zaqa5CP4ehb0Ku0ir0auMHl2sTloU9Xw19I4bevSbnJKWNrrXUyuQXCGBVGT+4TKxKSJbXh6bJOix9J4bWhR9emHe7MBqk4r1PwvoMd+v9vBhKBYTRCBX/yKKeh479fC2QXP7x43iaivfeIoqjAkPrwtA31hTSVxchdKTMYepbcf2PFwwogrCHKBpHqQAxj4f2w4YmG9FEmojhBbYKF8nKrXM3xHGBivcOSi1s3VIdB5tWZPFoMYTQkDKLYWwl8qdRav4ANgivE0WjyxoHYTSIH15dZCuJJnM45lOrPt40mcPQu9FkyyLK6OusFpUw4Af9F/iDi0fIGBYvtG7mudaNyFVeK+ysy9JZl73r982X0V1nnVvRpUbOtPGiELXKskGPTsPkOo8MUiRJJ37mthLthwmFIoiuEYTXFtxO0xpX1KplKWiyHl3rWGSrmDguEITXV2Qib5m7scw9C24TRqO4/rFFSwzvhSieqYkoLZxxFMLGMZ9Ek8svW1Ko2nGPsbBoi4ZtHUauwaT9BkKYmMZOWMSepOrHPfRIldNKmVg0OKiK5K33R60EqqbmW/GPohYRDLLMx5Bi7dpFhDCwjJ2IRayibvjSR/H0PR1HKUUYjRAs4D1bPR8HQ+/C0DuW5cO9VAytA0PfsOrHWWeddT49pA2LA/XtvDl0hcv5cUbKBcbdEhOf+N8nhZ3uhfUM7DoPHFUD9yceSuEmAFREEPYRRv0LbqbJxkUDu5WmGsAuXqqqCPCDC5j6Jljm72DqOzCNXVQtr+YLiKsiSxX/Q5L2KyzU3343VBX1xil7by2ypYZl7K1lQldg4UQpYjVTU6CeP4AVSGzzMaRYywDWwNS3IdAX1UMNo0GiePKR6YMVIgGLZrcU6x6ZK4RSxCqP559mYcVbUdWVkHefGbpXBHp1HAhzUWHgMBoiiibusQ82IIrGagJW86OJNKa+ctZdi6FrrRhaB+tmIuuss85K4egGmzMN/N6ZtzkxMcT2bBONdhJD3syXSgT/0c4nyZjLq7BcD2DXeaAQ2BhaZ20l/uHsu6uu1o8vWJ4JIGUKXVu+WNDdIIS9tFJVFRFGAyuSiaqqfm7BMnbjBSfm3S6Opym7r5O0X2KlAliIqoGx+/4i52hULWxWaAIdqwJh2I9abHooZE15eO1K5QUamlYPQlt04h5FE6uSFb9fCCRivfBozYhVcWnjAND1DUixlv11GlLWs5R7TRRPLagbsPB7JxbtNwcQMoVhbL6nY9wLUmtAW4Yw1TrrrLPOJ5lwy3zz+hnq7CRuFHJ2aqSmQnxzPi+F4Fe3PcZy623WA9h1HiikTGEa2x9qO6Bq2eXCXocgkCKJLpvW5JxmjyrMJQVLiogwGlm07G9pxxQY+iZs6/EFA9gozlPxPyCKZ9Bk/YqoMofRCJ5/apHJp0CIJAnnpRXrv4vjPEHUz+Kejxq6bFvjHlOJlOl5bchuparc/ij55T2ci2IPK3FcqJXOLjYOZM02Zg2rboRAytSSnjVxPEMc39s4CKMJonhm0e2kSNzhXLCaaCKHJuvX7HjrrPOgY2oaz+3YwMbGOkx99VwhHmQKrs/FoTE+6hm4p/d3pbL8108sLFYrEOTM5S9Wrgew6zxQ3OgDepgJo2HiRSYsQthoMrummbfqgZcWwEJcyxqsjNG9oXVgmwcpiBSxms+HNayKLXlHSNovIsTyBSPCqI+Kf5SFe18T2OahWjZ8ZQLJOM4TRoOLbKWhyTqkTLKmcgRCIkSSpQRzsSoSr6uUrnOP3MjALoxEk/W1ypC1nDQKpEixlLEXq+KiCubzsdTsrRA2upzbnmQ1EMKqLWTZKNbH+DrrGLrG89s3cmhDOwlz+TYvDyNjhRK2od9zAJvQTfbVt83+Pa4pOd1ppbN81gPYdR4ohDAf+lXhKB5fvOxSxXjBGSYL/+PanFSNOC7hBWeWsKUiViVWqhdQyiSmtgnT2IXrH5n/qMql5L6GYx1CsrwAVimfILyO559acDtNZknZryCEs2Lqx7EqEUZji50hSlWYLvz/EKvoe3nnYSPCaHRRb1qgZrFxfxV5lYpRyiVWM0RxEaXKxKpcs7vxUSoAgmq1gAprf0ZV9efanzf+zQvOEkZD9/XzfJpQqryIlVhtO3ymi7+/JkrcNw8aE8ZjSyqRV8pbtCVkPuI4TxzPt2h3EyEstDXsNRdCIoWDlBmieD2AXWcdTQo2NOTobsjh3McA1vdP4gfHkCJLYh5rz9XCNg2aM0uzVpoLpRRBHHN6cojzM6NMumUea+zk8aZOgjiivzSDLiQb0nUYcnkLlg9FADvu9THpDaJLk0arE0fLMOUPMeUPEakQS0tSb7aR1hvRhE4Qu4x5vRTCCWIVYUqHOrOVrNGMLufOsMQqJohdSuE0pXAaNy4Rxh5xLQOlCR1D2jhamqzRhKNlkEsscYxVjB9XyAdjlMJp/LhCqAKUipFCogkDQ9rYWpKkliOh59CFsehkurrfMjPBGOVwGi+uEKkApdTsfk1pY2spElqOpJ5FW8J+7ycCDSHvffA8CETx9KLBgcLD9T/G9T9eo7O6S5SqBQgrpYMu0LQWEtYLiwSwPhXvPcJoDE02LUuNM4xG8YNLRPHIAltpaLIJx3oesYK3Q6Vc4mixMvKYKJ5gqvgvVuy4K40iWENF3uq1FsUzRNEkcTxFFOeJ1QxxPEMYjxNFMyiVJ1JFVFyeDSyqf4a1c62ec/W/Q5QKbvkcEesCTWtHrNxaJceCWxHHM0wX/9c1Oad7Qal7HwdqSdlbuXR9ghXkRhY2ihdfZFhn6VTCgIHSDCOVAoXAI4xjdClJ6iYtiTSdySyCqpjNUrgRFIy7RcbdEjO+Szn08eMIBehCYms6GdOmNZGm0Upi63MHYIPlPFfzE4y7JRK6wY5sM12p7JL8Z4uBx+WZca4VpzCkpMVJc7ChHX2ZgciDghSCTMJGrraX0SL4wUmKpT9A07rWPIDVpcQ27j14d6OQCzNjfOPqCQbLec5MDePHEXvqW3GjgNOTQwyVC/zG9sMY5qcggL1aPMrHk9/D0bIcqvsCjVY3x6a/z6XCEYLYJWs0szPzHLsyz5M2GhisXOTjye/SXzmHH7lkjEa2pZ9id/YFWu3Nd/S8+FGFfDjOmHedwcolRipXmA5GKIczBMpHIDClQ0qvo8HqZENiH93JPeTMNky5cDlmGPsUwgmGKpfpKR1jxO0hH4zhRWViFSGFhqUlSWl11JmttNib2ZjcT6O9AVubP5ALYo98MM5Q5RLXSsdr+x3Hj8vEKkYTenW/eh11ZlttvwdotLqwtAfYnkboaOLhDmDjOP8ImMOrmm/jyhl5abIBx3oKUUzUJnRz7TsmjHrxgwsYeheaqLvn4/nBhVq2ef7PIGUay9iOaWy55+PMRVzLGD70qJDVDviUConjIpGaIo6n8MOr+MF5/OAyQXiNIBp4xPpwPz0o5RHfo/3Mg0TVy/ne2imq1QILPw+EMJDCQaxpCTUIjFWxq4viMn40SaTKGDKDqTWtiKbBSqCUQgHF0KUYeJQjDz+KiFREDGgIdKnh6CYZwyal20vOFEUqJu97nJoc4seDl/l4vJ/+0gyVKMDRdFqcNI83dvLZjm1syTSylFyCH4WMu2V6ChOcmBzkzOQI1wqTjFaKFEOPWCls3aDecuhO1XG4sZMnm7vZnm2mzrqzsudaYZJ/c/EIPxq8TIuT4te3HeY/2vEklrZ4ANtTmODfXDrCN6+fpc5y+OkNe9hT1/rIBLBCCDKOhfYQa7AsF12TOMsIYCe9Mn917TQ9hUlead/KpHczmaMJSawU3+09xy9uOUCGT5EKcSXK01c+y2DlIqen30QKSRgHjHnXKU5OEqmQDcm9vD327xmqXEYKjZiICX+AwtT38OMKn239LcxPKB1O+P0cnfwup2feIFIBAokmdKSQ6MIEFEHsMu71MeZd53z+HXakn+WZxp+jzdk6byZWqZhJf5ATU69xbOr7BMqr7hcdKTSk0AGFF5WphHlGvKucL7zLqPc8Tzb8DJ2JnfPud8Lr5/jUDzgx/UNC5dfOV0cKo2aErXCjIuVwhmH3Cufyb7M3+zJPNXydVmdlJ+sriUCrWl08xFT7pR72ABZW2oVaSgdD34hl7Mf1j7JQaWrZexvL3Icmc9yL8I5SEX54AS84t+B2utaGYz13T8dY+Pge0SOh3qtW/DqY3bMKUcoljEZw/Y8pua9T9t4hjqdYz5I+GijlE6lHYBwsYwwspfxYYN4X33Mh9FXRYaiEfYyWvseMd5J6+2k6Mr+G/gAsTEcqxotCCkGFo5PXOD7Zy4X8MEOVafKBSxBHOJpJg5VkS6aZZxq38Fj9RjoSdVhSX7B6LVaKYuDx2sBF/vnpnzBcLoAAQ2roQhLGMX2laa7kJ3hz6Cp/e9fTlMPF2zMmvTLf7j3D//f027hRgBACXUh0KTFrgWMUxwyW8vQWp3l7uIdDDR38jW2P8+XuXbPb3GBfXSu7ci28PdzDtOfy+sAlfnXrIUypLfj5lFKcnhzmwky1NSZnOrzSvhVdPjrBnhSCtG3d9wzs/USXEtu899Bw2q/wwWgv/2DvizzbuoFjEzd7aR1Np9lJMVjOE8WfMh/YYjjF1dLHWDLJvtxnqDfbOZ9/l1H3GpWowMXC+wxWLjLu9bE7+xKNVhfXSycYrFykEhUY964zWL7AxtTB2/braFlsLUWkAqTQqTNaaU9so85sx5JJwthjwuunv3KOSb8qzHKx8D71Zhu2lqTBmtsKxY1LnM+/y7HpHxAoD4lOd2Ivrc5WUlodUmh4cZlpf4Qx7xpDlSvEhHQmdpEzW+b9HipRkTP5Nzk58zqh8tGFSXdyL632VlJ6DoHEjUtM+yOMuj2MuD3EhHQl9pI2HnQ/R7Hmq9ArjgpWRL33UUTKFCnnVfzgDLFaIIB13yGT+DkwdtzTccJoGD+4TBQv3IeqyxsB7EoTwT32zH1a8MMrFCvfolj5LkFwtTZm1sfNo0UM6tM9DpSKUGqRyZrQQNyPnju5rDaN+Uga22hNWRhajjh+cH7/cbfAj0bO8SfXPmSgPE2oImKlqP5flUJYoRhW6CtP8tbIBXZm2vmFDU/wavs+LG3+76oU+hwZ7eO/+fg1yqGPAjqcLI81drC7rgVL0xl3S7w3cp0LM2P8q/MfEMZRzWJkfhzdoNXJUImqz8s2J82uXAvbso002kkUMFTK88FYL5dnxvHikBMTg2RNm85klsNNt4tipgyLnblmduSaOTU5xNXCBKcmh3mssYOEPr+IoRdHnJsepSc/hSE1Wp00TzR1oz8i2UohwNI1TF3/VGvV65rENu79nhDEMZNumY5kZo7Khar3QajiFante6AC2Cvjk3z37AXeuNyDH0VkbJvf+/mvzr7ux2USeoZt6ac4XP8VNGHQldjNa8P/ioHKeab8QSIVsjf7GZ5u/Dl0YbA5dYg3Rv8tlwtHKEd5xvw+NnLwtuOmjXq2pZ/E0dK02pupM9vQpYUmDCQSRUyoAqb8QY5MfItLhQ+Jiegtn6YjsWveAHbUvcao20MQuyT1Oh6re5U92ZextAQaOohqNjVSIUHsUYkKDLtX2Jg8QEKb3yFpxL3KmNtLEHtkjCYO1b3KnuxLmNJGot2x33KUZ7hymc2pgzja2vbYfBq5IR6zzp1IkSJpf5bp4v9KHBWZr7w3ikfxgnOYxk70e/AqdP3j+OHVefcPoMkWLHP3Pe1/ceKauNA6nySKxsmX/5RS5Qf44WWiOM/9FopaZ7VYHwcsaWFG3Cd/YslqKD8LUQ2Mq7oCtwewee80k5WfUA6vIzHJWPtpSnyeoeJfkDS2YGh1TFbewZAZ2tO/wOWp/46O9C8TxkWmKu9RDnuQwiFt7qY19TWkMBgo/AeCOI9EoxL2IYXF5tzfRwprtmXsUn6Yb/Uf5zsDJ5j2y4S1RYU6M0mbk6PBSiIQTPklrhcnKIQukYq5kB/i31/7gErk80sbn5zXfqy/NM3vX/xwNnh9oXUTv7D5AIcaO3E0HYEgVDG/sPkAf3X9DN++fpaecp5okex+Srd4vKmTv7PrGfbWtbIpXU/GtLE0fbbUNYwjfm3b4/zhpY/4Xt85RipFruQn+GC0944AVgjBjlwThxs7OTU5hBuFfK/vHFszDQsGsKcnh7henMKPQzqTWZ5s7r4ju/swo0lJ2rEQ8EDrxKw2mpTY+r2HhqbUaLCTXC1M0p3K3fbalF/h5OQwm9MNyxZwggckgI3imLevXue7Zy/ywfU+hgtFlFLUJRK3pZkVipReR3dyL2mjAQBT2jRYnYx5vfhxGVsm2ZZ+kkztdUtLkDNaMWUCP65QCCbuOL4mdFrszdSZrdhaep6+VoWtJXms/stcK53Ei0tM+oOUwvkFKtyoiFvzjjOlQ1dyDzmzBW2OFU+lFDlayJktWDK5oEBUJSrg1fZrySRdid3kjJY5B51SiizN5MwWHC21ZOGpde4dpdaFYuZHR9dasc1DlN2fEM9bXhji+sewzcfvIcCM8YJjBOG1Bbcy9Y3Y5kHEKmQ+lFK162CdGyjl44eXmS7+ayreB4TRwCqU2ksERs3v2ERggjCRovpnHM8QxRP3bImyzt2hVLxejULM4loCVUmftWdtK568cISCfxpFRHvq54mVy0jx2ySMTXjRKJbejIpiysFVDK2OSFUIomn8aJyCfxYhDNpSP48fjTFefoOMdYCEsQE/miSMZ8hYB8hajyGEhhQGt7aG1FspmuwMbhSiCcmTjVt4snETG5ON5MwEljQQAtwoYNov8+bIBd4avcCEV+RKYYT3xi5zqL6bHZm2Oz7XjO9yfnqU05NDKKDJTvLVDXt4rmUTWcv5RMib5Osb9zFQmmG0UiQfLHwP1KSkyU7xy1sOkjMdkrqJ9omyXQU0Ar+4+SAXpkcZq5SY8Er0FOaen7Ynsuytb6PRTjLplnlr6Cq/tPkgjXZy3n7Wj8b66StOA9DqpHm2ZeMjFejpUpKx7TX7TEoFhOE1XPd1/OAsikp1Ud16odZGc/vvUKn8gIr7QyzraRz7s0iZu+31YvF/ww/OYNufI+Hc7sPqeh/i++8Rhj3EqoIUaQxjB479OTSt67YqDIGYzcK6wd0L19VZDp9p38K/u/wxY26RwVIeU+p8p/csV/ITHB8f4Oub9pKYR2TsbrivAWwcKwqexw/OX+K1i1c4OTDMVKU6sZjvEnK0NPVm++zfdWmS0uuwpFMNYLUULfam2dc1oeNoKUxpE8Yhfjz3xMXWkguKJoHAEDYt9kZSeh2B7+JGJfzYRal4TjN0U9oYNWP2IHYZqlymzd6KlIk7thei+iBJ6rkFzuHmfvXafv24zLB7hXZnGzrWHYNPCIGGTkq/dzGcde6O6kr6YjdBDSEsRO13fNAQmGhaZs7reln7FQKwSFifwfVPE0fz98d5/gmC8Bq2eeiuBECCsL+mPryQ+qmOYWzFMvYt/eTvCgFCLjJvFQjMmoXOgzkRkDKLEMv3xo3jMl5wlunS71N236r5JN/NIo9AijSa1oQmG9G0OqTIIEUKKRIIYd8MWoUO6Aih1TJAevXfhE7F/Qkl98eEUd+yP9M6iyNqmcXFwzcTIRM8qONA03LLuFdLFg9OFSspmLd01vb79qJRwriApbWSsx8njAuMlV/HDfvQZYJYeURxGRDEKqAc9GDpLQTxDCX/MrEKkMIijGcI4hn8aBxH7wDAkDlSxlaS5rY5j501HB6v38ivbHwKKQSH6jewNd1Czkzclg1SShGpmBYnSznyeH/sCjNBhd7SBCen+ucMYMfdEuemRmZ7Wg80dLC7rpWsac/5DXcksxxq6ODM1DBnpxZfxDM1je7U/HO4G8fYkmmgPZnF1g3cMGDGrxArdYcHp6MbbErXc6ihg9cGLjJcLnB8YpC2RIYm5/YqPaUUhcDj1OQgo5UiSd1kY7qe7dmmRc/7YeLWDOzqo/CD05TLf4bnfVC1j9SaiKIhypW/II6nUXH5thg2jK7hem+hyQaU9cIde/SDM7jeW+j61tl/i1UF132DcvnPieOp2pxTJ4ynCMLzBMFZUsm/hWFsme2FF6LaC+wYxr0FsKbDl7p24kYhJyeGmPIrFCaHGK0USBkmTzR18/mO7djaQxzAumFI39QMb1zu4Zunz3FtcoqEYVKfcJipuLPmt59El9Yd5bWmdNCFiUTDkg6Olr7tdU0YaEInUi7RMsqZhBBIYZA0cswEo4TKJ1YRCjXnRZ8zW6k329GFhRsVODvzFhJJi72ZerOdpJ6b19ZnIerNdurMVvrLJuVwhrMzbyGQNNsbqDfbSWg5dPnpNGF+IBB6tadpgfmIJnNY5kFs8+CandbdINDQtRbEqghvSBzrWfTyNwijQWDum2QQDeCHl4jicXRt/p7wT+L6RwmigXn3C6BrLVj6dnTtzsnISiBENRO40JRUYGIaW0nYn3lgFzI0WY+xTIXmWHn44UVmSn9IsfwdFvpdbkWIBLrWgqF1oWmt6FobutaCpjWiyfpqACvTSJGoKrgKi2qwuoDQSjSJ639E+GlPCq4VQgKLPYsMDH0zSfuVtfVDvgs0WYepzx0YLYrQWTSAVTFLHRcri+K+VAt9YowqpbD1TsJ4mjAuYevtKGIm3Xdx9G404aCIa57OIZpM0eC8iKk1zi5u6jKNLudvvdKlxqZUIz+34TCW1MmZyTsCu+qpCXShsTvbzpMNm7laGGMmqFAIXXpLd1bwAUx5Za7kb752sKGdOnN+X3EBbM400J7IcHZqIZu3u0OXkpzpkNANyqFPGMdEcYzU7lwA7khmeb51Ez8evEyoYn4yfJVDjR00Oqk75rPnp0fpLU5TiQK2ZRrZU9dKxlx58a/7iSYFaWf5i7VLIYom8byf4Ho/QpOtJBI/j651EKsinneEMLxay8LeO0r5hOF1isXfJ1Z5bOtlTHM/QiSJozFc/z3KlW8jZSMp+Vvo+s3EoJQSxzSYLlfuelnN1g125Jr5la2HODLaR1cqSykIsDWdjek6Djd10fWJ0uJ7Zc0DWKWqWdfzI+P88OIV/vT4aUq+T13C4dlN3ZT9gLevXieO5p5hVP1YrTv+rWrKraNL646skUDW+hbUgr6WsYpme0b9uEIY+0QqJCaqlULFeFGlmnWt/ay3t//fTtZopju5lxG3hyH3EiPuVSa9QToTu+hK7KbZ3kTWbCal5Ujo2ep5LqF8IWe2siG5j3GvjxH3KoOVS4x7fXQldtOV2EOTtYGs2UxSz5G4C7/adVaGaumivuDA12Q9Sfslcqm/tWbn9aAghMA0NmAaO/DDK8TzZkrDmp3KhSUFsNWxHVH23iOKFp4UWMZuTGPHqgiYVKlm2Be6CIQwMY0d1KX/HprMrtJ53F8UijAcoFj5HoXyX7KUSboQCQytA9PYgWXuxzYOYRrb0WTjI1Wy9ulgKePAwDS2kUv/Lrr2oIsM3j3iRgXAgkT3qVc4qlkErRxKxQTRJCX/Mm44RKxcSv4FEsZmTK0RXabxwiFmvONEcYUwLmIbHegyxWjp+0RxmXrnWbxoguHiX7A59/dxjE6SxlZAkbH2garO6Ryju9omAFTDwsUEkUycBfo8P0mLkyVtVBdVojjGi+b+jYqBx2ilOPv37lRu0RLJRjtJzlz6go1SCjcKmfErFAKfShTgR2E1SFUxcW1+O1K5qfBazevPPfjqLIf99W10pnJcL0xxbHyAa4UptmYacW45dwW8OXyVCa80G3gfaGifc58PM7qUpG1rSdZGyyUML+P7JwGDhPN1UslfnX3NNPahCkXK4eVlHSOOC/j+h3j++6RTf49U8tfQ9W6gWr6sGzvw3LcoV76J47yKplpnYydNChL3qESc911OTQ6RMiwON3XykrGZpG7i6MaK9L3eytoHsMDlsUn+7ZFj/PWF6g+Uc2xe2baZXzq0n4/7B3nryrV53l0ts50vIJNCLCFYu3MwxyomiF0K4SQTXh8DlQtM+oMUggncqFgNZlU1mI3ikHiJN3wpNDYmDyCFzseT32PYvYwXlegpHaendIyknqPN2cbm5CE2JPaRMuqxtBRykUBWCo0tqcNowuT41A8Yca/gRWWuFD/mSvEoKb2OdmcHm1OH6ErsIaXXY2vJJQfI6ywPIRwQ5oKTNqV84thbu5N6oKhONBLWM3j+SbwFSn29oGqF41jPLaGMWBHFk3j+CaIFVy81LHMfhrH9Xk5+SQhhVLNJCyQ3FDFxXOb+lA6uDUpVqPgfkC//KUsRahIihWMeJJ34BRL2i3eVeV/nwUMIAykTRAsm+RRxXOJRHQdC2LcEWXOjVEA86429ds9oRUSsVvY5pIgoBheZKP8YLxpFETNS+h6tqZ8maWwlbe5lovIm/fk/QgqDnH2IlLEdKWw0YYMUpMzd6GE/kXKxjU4srY2c/SSTlbcZyP8xINGkw2bzHyCFgSFz6DK94l6zpdDDj6vzPVPqZIy5A04/jiiFN8WqclZi0cl6UjeXVEYZK0UQR0x6ZXoKk5ycGORyfpyBcp5Jt0wp9HDDED+OCGr/W8pI0oSkyUnx2Y6t/OHFozWBnUF21zWzJdM4e2w3Cnh/5DpTXgVbM9iSaXjkyoehWkKcsS3WYvyFUS9RNICmtWBZz9z2mq53o+ubECI9z7uXRhxP43nvAwpd7yaO8wTBzaBYxQU0rQ0/OEkcj1MVW6tm1TUhSFgmtbzfXTFYyvP/PPYjOlNZOpM5OpNZOlNZWp0MWdPGlBqmppEx7WX77d6XEuJSEDBWKiGEwNI0fuOJQ/zs/j20ZlJ83D9API8/kKjlUudHzKsQNx9KKbyoxKXCh3w09W2GKpdm93TjQp7dpxBIIVGqqky8FCwtwbb0E3QldnO9dIITUz+kr3wOLy5RCme4XDjClUI16NyXe4XH6r5EymhAqoWDTVtLsjPzDBsSe+kpHePE1Ov0V84RxC7FcJqLhfe5XDhC2mhkf+4VDtV9iaSera5crgexq4oms0jhLHiFxMpFqdKandODiGM+TVH/Dl5wct5twqgPL7hAFM+ga/UL7k/hU/beJoonWChy1LRmTH07htZ6r6e+KEI4aLKOkGsLbBVVy4QWs9h4aFF4/lkq7k+IoqElbG+Ssj9PfeYfYuibVrz/+uZZrbNWCGEh5SL6CyoiVpM8qsJ3UiaRi5RGKwKUKqOUWtPns1LBiguaSWFQ7zxLvfPsnK9nrL1krL1zvrYx93dn/9vWW3my/c9ved8eMtaeOd/XmfmVZZzx3MRKcW5mkFE3D0DOTLAtM/eCWqQU/i1Vg6bU5ixPvhVDykU9VKvz05DzM6P889Nv897INfw4mlXK/cQMFSkEmpBES7QpqbOq/Yr/4fJx/Djio7E+Djd1sTndgBACv9bH2F+axo8j9tc3sz3bdFuG9mFEk/IO+yJD10g79ppkYOM4T6yK6KIZbY6qEyFSyGVWZSm82nNXMTX9ny9yPiWU8mf7YKWUJEwDgZg3gz8fXakc/+XjX+BKfoLL+THeGLxMT2GSQuDTYCfYlm1iR7aJ39rxxLLL0Nc8gBXAoY42fvfZJ/nDj47zS4f2cbirg5xjV7sxVDU0XKtbuB9X+Hjquxyf+mvy4QQSjbTRyNbU4zQ7m8kaTThaptZnaxDELt8d/J8Ydq8Q3oW/nSUdNqcepyuxh5lgjN7SKa4UjzLkXsaNihTDKT6a/DZ95TO81PzrdDg70ZegjmppVdXlDckDzPijXC+f4ErxKMOVq3hxiXwwxocT3+R66RSvtPwWrc5mtEV7ktZZDprILWpKH6sikZpZozN6MNG05qpNjv8xYTQ8z1aKMLyO6x8j5Xx2wf0pFVB23yCOiwtu51hPY+gb7vGsl0Y1m7DwxF2pkDAeWfJi2MOIF5yk4h9ZdDsp0iTtL9CQ/T/Xsq6r8wSoWlw9ut/3g4bERpf1LJTjU0QE0cgjq9otRQLBYqWiMbFyieMZNG3tBBeV8ojj+YX0Ps28NnSa98YuM+4WSGgm29ItPNU4tx6AJgSGdjMYDeJwXh2XG8RKES9yL/LjiPdHr/NPT/yI3kI1iGyykxxu6uJQQwfd6ToarQQpw8LWDDQh+Z/PvsP3+y8w6ZUX/YyW1NmQqudQYycfjfVxYXqUSzNjPNuykbRhUQ4DftB/nkpNnGpffRs7cqthO7d2aFLyj7/68h0CRY5psKWl/g6F59XjxvWxUsebS+28en2lkr+FpjUx33PVMPbcpsOhCYFj3luc4OgG+xva2F3XQqhivChksDzD6ckRjo73cWJiiPdGrvELmw88hAGsECRMg8NdHXRkM7Rl0iRNEylFreF8bdfHr5dOca10knwwhikTdKf28XTj12vKxgl0aSLRkUIikHhx6Z56SoWQGMLCkBamTJA2GtiUOsSkP0BP8TgX8u9RiqYZqlzm5PTrmNKmzVlcNEIKiRQ2hrSxavvdknqcca+fnuIxLhY+oBzNMFi5xInp1zDkT9Fsb7yHb2qdpaJpTcgFxCSgWloZRVPEcRkpFw52H1WE0LCMAxj6hwsEsBBEvbj+RwsGsEpFxHEe1z9CvGBmW+CYT2FoXQtss3ykSKHrLSw4cyckiiaJVRGl6la8/O1+E0Yj+MFlwmh0kS1NDH0rdem/g661rmJfMtUs18I/yjoriJBJ9EUrHSLiaIJYFVAqXNXf/36gySxSLu6/rpRHFI+tcQDr1hTBP93EKsaLQ6a8Ej3FcT4Yv8J745e5XpzA0Q1ebN7Bz3YfJm3MPeE2pUbylt7aac8liCOcBZIF5TDAjRZuR7ucH+eHAxfpKUwSxYp99W385vYn2FtTOLZ1A1NqaOJmRtHRjSVnEYUQJHSDL3Xt5NLMGMOVAuenR7kwPcpjjZ3kA5c3hq7gRiFpw2JHrpmuZG5pO39AkULw5OYuPpmjlkJg6fqaJM+kSCFEsjrmo8k75otKlVB3WAzqNUX3aM7FvjievM2WTmAiZXP1v8zHMM1DSDH3QpoQWW4V25OyGqfdC+XQ5+TEED3FSa4VJukvThMqRcawaLCS/NymfbQnMuSs5YuA3ZcnhRSCtG2Rtm8XY1LqbpPVy2fYvcKUP0RMTMZoZF/uFTqcndVi5DvuAgqlYipRYdGVs4XQpUFK1pHSc+TMFnJGK1mzhbdG/4hQ+VwvnWRL6rElBbCf3G9a1pM26sgaLeTMVtJGE++Of4NQefQUj7Et/eR6ALvK6Fo72ic8uu4kJlZ5wngIUy5P5fVhxjL2YOrbqXjvwTx+kVE0hh+cJ4zG5xV5iVUZLzhJGI3Pux8AQ9+MaWxbdIFhuUiZQdc6F91OKZ8g7EWXzYhFsvYPG37YQxD1sVjvq641k7BfwjR28Envu5Umjsuou6icWWd5SJFGX8JikSIgiPowtA6EWDzYe5iQsmFJ5YBKVQiiQcxV7M2//XgesSoQq8UzdY8asVLkgwp/1PMeo24epRShinEjnym/zEB5CgUcrO/m8fqNPNW4he2Z1nl79pKGRYuT5tx0dbGurzRNOQwWzDBNuCXy/sKLaQOlGU5NDhHGMbqQfG3DHp5r2UijnZyz1FwBhcDHC5cuzGVIjedbN/EnV08w4ZU4Pz3KmalhtmebODc1ymApT6Riduda2JSqw9Ye7gUmIQRp5/6q/mtaJ7rWRhj24vtHMIyNs69F0RBR1HdHZYQm60EYRPFYrWe16qCgVEQQXiSKhlC39LNLmcGynqDifg/fP4llHkL7RHVTVfjSB4zbWnY0KUlYZnUh5C6DsqFygd87+w4g6E7lONDQTquTpt5OkDMdcpZDznQebhuduVDqxhe6dpSjGby4egO3tRSt9mbkPDepMA6YCoYphdPEK2LOLjClQ7O9EV2afDz5PQrBOIVwEjcq1+x57mU9SGBpCVrszQgEJ6b/mkIwQT6cwIsry9jvOkvB0DuRcuF+TYA4nsIPLmPqn94AVteaMY3t6Fr7vN6cCp8wGsALTqFrn5lzmzjOU/beXTQ4caxnVj3LB1X/VEPrZjEVBEWMH5zDMnYhebQC2CDsI4rGF91O11pJ2i8hltAysVyqWb7FfRfXWRk0mamV6y8+E/KD89jGXiSPVgCryYYlLGhCrEoE4bVVP58bRHG+5pX9aJZuL4yiEga8PnSWK8XbK0QEYGsG29It7Ml18EzTVnZkWrEWmHDXWw6bMw28MXQFgGPjA7zUtoUWJzVvT3NPYZLB8sLZ72LgMeFW56dSCPbVt5E2rHn3OVTKM1opUlkks3srEkFbIsOhxg4GyjMMlfNcmhnnamGCI2N9hLVkzRPNXXSmcusaKiuAYWzBMPYQBBcoV76JkAk02YLCxfc/JgjOIT6Rvdf1qhJ/EJyh4n6fWOURmETxBJ73Y+K4UPM9ryJlFst8BtN8HM97GykdTONQTZNAVRevolGEzGBZz97W8mTqGp31Wba2NNxRFdtet7C41A0rJ6+mkD3je1iajqFp2JpBrNSyxZtmj7Uie3mIkVRLgwEiFc4Gs58kUiHTwQhnZ36Ct0TFxFI4TawibC11h/XPrSgUsYpmS5N1YcwbRAMUg0kUatH9Vi/SGMkt+12xevt15kOTDTUP1RRKzd+PGUYTeMEZUs4X1/DsHiyE0LH0bdjGPorzBLAAYTxOxXuHpH1nAKtUTBxPU/HeZ+HJmEnCeglNNiz/xBdBiiS63oaUdQvYBAFEuP7HJO0vgPZoKTtG0ShxPL3IVlqtF3rXqp9PrFyieGKREvN1VhIhHHStHSnra+NgvuemwvOOE9lfWELJ8cOFJrNosh4hnAUFk+K4iL9M64y7IYoniBYt739UEehS0p7IEagIpVRV7VeFuFGIUgo/jugvTfHh+FWKocfWdDPN9tyVO412it11LTX/1YDjE4Ocmhyi2UlRb925MDlUzvPxxAB9pekFz1IKeVtPZsH3ZgPKW4mVohh4vDZwkevFSaK7qBC8IQb1UttmPh7vZ7RSpK80zdGxfj4e7wcgZzrsq2+j2X60FpfuF5rWgm09X83ABscpFv8lmtYBCJRyESKFpt9ewaXrW7CtF6i4f03F/SFBeAGBU1uQ9dH1bsLw5v1VCAtd30oq+VuUy3+O672N75+qVYMIlCoTx3ks6ylM8xBwM4BNWiaHN3WQss07ernbcwtXr7U4Kf72rqfpL07RW5phsJRnyitzvTiNo+nYmkGjneRrG/eQMpaXCf/UB7AZowlHS1OJ8pTCaa4Wj2LLJKa0EUJDqZhQeeSDCa6VTnBy+nU0YRKraFF1roHyeaaDUerNNjJGE4a0a8GphkAQExPFAaVohuulU0z7Iygi6s0Oknpu3ixpX/ksxXCKerONtNGEIS10Ydb6dG/utxhO0VM6zkwwhiKm0eoioWXWs6+rjBAGhr4BQ+/ED87Pu10UT+D5p4njMkLMb3r+qGMYm7HM/RTd15iv3DSOpqh4R2vflX1buYtSLkHUjx9cYH4lUx1D78A29yPXoERRCA1N1mMbeyl7P2H+iXuM6x8jisdRquuR6v+LVX7R8kQpHHRZj7bKJd0AYTRMGI2sZ2DXkOo4yGGb+ym7b7HQApMbnCCKRlH65kdqHAhhoGkt6FrLghnWWBXwg/O1KhJj1Z8HYTRCEA2u6jEeVARVT9jPt+1hyq+qPwdxSDH0GPMK9JUmmfCKvDlynh+PnGN3tp2vdh7kc617qLOSd+wvY9rszDWzr76ND0d7GXOLfPv6WUypcbCxg4RmIEVV56UYevxo8DInJgYoBf6Cs7Gc6dDuZBgozRApxVvDV6mzE3Qls7M2PV4Ukg9czk6N8h+uHGfcLWFISTCPm8d8HGroYFO6novTYwyV87w3ep1L+TEADtS305XMYT/A6sMzFZexQomsY9OYSixp/MRKMVEsU/YDmtPJO4SLYqWYLJUZmikQq2rlYnd9jrRtLlPsSWCaj5MWaSrut/H9EzVbnXYSzlcRwsHzj3Crb7qUNsnkryC1FjzvPaJ4BChg6JtJJH6eILiC57+LpjXf8h6HZOJnMPRuKu4bBMGZqjKxkGiiEct6Ett+BSlyt51dwjTY1dGMaWiEcbVbuDGVpDGVwNIXvjdbUmdLuoHOZJaDUUA5CBgoz3BheoyzU8NcmBmjFPh8tmPregC7XNqd7fSWTzPlDzETjPDB+F8y44/S6mzB1lL4UYVxr5++yhlGKldx9Ayt5hYGKufx44Xl54fdK3w8+T38uELObKXZ3kTOaMHRUkihEcQe+WCcYfcKg5VLKCJ0YbI1fZgGc/6+ocHKRU5O/5BA+dQZtf2aLdgyhRSSIPaYCUYZdq8wVLkyu9/t6aeoM9tW+itcZw5MfTOmvmXBAFapEkF4FT84j2UeYLX7/x5UqmXEO9C11gXKiD3CqL9abmvug1t8FaN4DM8/AQv4M0uRIGl/HilTq2bP8kk0kcU2n6Dsvc1Cmafq5zqLqW+aU1L/YUUpD6UW7n8VwkHI5fndLRXPP0UULeQPvM5qIGUax3yKivsuaoEANowG8INztZaCh1vp9JPoshlD614wgFXKJQj7CKP+Wt/w6gULSlXvO2tZsvwgIYQgpVt8reuxO16LlaIcebw+dJZvXD/CxfwwJ6b6KAQuIPi57sOzNjaz+wM6E1l+c/sTnJ8epeB7vD3Sw9XCBAcbO9iVa8HWdKa8MkfH+zk7NUJHMktXKkd/cf4y4u5UjkONHRybGCBUMX985RgjlQKPN3bSmkgTK8VAaYZj4wO8PdJDSrfYlmlkpFJkYJHy5E+SNCwONXRybmqUnuIko5UibhQiELzUvoWGOQL3B4kj1/r5g3eP8vnd2/i1pw6iLyGAjaKYb508z9nBEX77+SfY1XZ7FVQQRfz4wlX+xRsfUHQ9yn7A//CLX+bZLRvu0PC5ewwMY09NAfjOc3WcL9zxb5rWSir5q6SSv3rHa5b5OKnkL855pKqI053X+nzESjFaKPGf/dn3mSpVKLgev/zEfn79mUN01+cWfG8x9Plw9Dq9xRl6S1P0FaYZLOephAENdoIDDe1syzSRXGbwCusBLB2JnWzzn2YmGGPU7aEUTXN8+q8R05IbfTuKGIFGs72Rl5p+lVI0w4Tfv2gACwIEBMpj3OtlwutHiBtOtjf8laplvjeOcajui+zNvkzOnNtvDG7cOAVB7DLmXWfc67tjv6omOKWI0YXF4/VfZk/2JTLGozNBfpAxje2Yxk6ofI+F/A2jeJx85U9pNHcjPqUBLIChdZCwniFfnr+MOFZlSu6PMIxtaOJmABtGo1T8owvuX8gEKecrayqUJLU6EvYLTBb+OVWhhPkpuj/ANHbjPEoB7Jyy/rcjhIFk+WqES8H1PiCKF+/JXWdlkTJLwn6JycLvgVpYtKbk/hDT3PPoBbB6B4a+Bby3FtxOqRLFyg/JJn9lVXvCq8HyNYKwd9WO8bAigKRm8eWOA7Q7dfyry2/y/vgVeksTfKv/OJ9v20PGcO7InKYMi6ebN/BfHHyF/8+pnzBSKTBUzjPaV+SH/RdnPTUjFdOdquNv7XyK4XKBP7p8lFIw9/NhQ6qOz3du58zUCO+M9BDEEa8PXOKNwSuzSsNxTfw0qZv8owMvk9QM/qTnxF0HsABPt2zgyHgf52dG8aKwlqk2eLp5AzlrMSuohxchBLq8M4g0NY2vHdjNKzu2cHpgmL/77765Ysf0o4ggjDA0Dct4sEIxKQQd2Qzf+J1fYaxQ5L/85utLfm9fcZp/cvSHbM7UszXbyOc6t7E100hXMkfGtGtexWK2gmA5PFjf2n1ACo2dmWfIGk1cLnxEb/k00/4QQeyhSR1HZmmwOuhO7mNL6jD1ZhuFcBxDLL56sC/3GbJGM33lM4x7fRTCCdywSKh8FApdGNhampzZQou9mc2pQzRbG0npdQv2wB7IfYE6s52+8lkmvX4K4SSVsECkAhSgCx1Hy5AzW2l1NrMpeYhme2O1LHmNsk+fdqTIYurbMY3ti5QRz1Cq/JhM4hcxjZ1IsTaT+QcLga534FjPkC9/Y96tVFym5L1JNvWbN/9NhYTREJ5/av69CxtT34xl7L1DGGE1EZgYeheO9SSu/9GCpasV7yNc6xiGvhldW/0e3bVAoIPQFoxhlQqIFwlqlotSIX54lbL/QU20Zp21RGBgaJ041hNUvPdRC5SVV/yPcbyPMfVt6I9QT7ihdWIZO6hmVeevSojjIsXKX5FO/HRNzGp1yoi94DR+cHnBc/m0ciMbZgiNvbkO9uQ6uJgfZtIvMekVOTXdz9ONW+6wUxRCkDIsvti5g85kjh8NXuKjsX56i9O4UYCjGbQn0jzVvIHPd2xnR66Zt4av0mAl5w1gpRDsyrXwjw++wo8GL/HOyDWu5ieY8V1QgrRp0pbIcrChnVc7d7I910Qp8Pnx0L31Uncls+zMNvGBnWTULWFrBi+2bqLecmZteh4ldE3ytYO7eHXPNhqSdy5uCyEwdY2UZZKwzDn2cO+c6Bvi7OAoj2/oYF/ng9X3L4RAiGovbDmw0LWlxw1bMg38/ku/iKXpWJqOXfvTlNqKe+w+FAHs1tSTNFrd+LFL1rhzZXZb+ima7Y2EsU96jgzjjszTtNibiAlJ6berwwoEjpam09lJ1mhmR+ZpvLiMUhECiSZNbJkgZdST0uuRaGSNZr7Q9nfw4zJN1oZ5hZEyRhNb00/Q5mzDi4oEyiOMAxQxCoVEogkDU3NIaBnSRgOGsBYNMnNmC7aWpMPZgRuVCJRHFPu1/VaFqTRpYkkH57b9Pno3oAcVITRMYzuO9eyCASxERNEI04V/RUP2P0Vo3Z/KRQYp0pj6Nkx9W03I5M6oR+ETBJcJw36kzCCFRRiN4oeXiVV+3n1rsgHHehYp13YFWQiJFBnSia/jBxeIFghglSpSqnwPQ+sk6XzhkegBlCKBFNYC9QfVrHrVh1KxWpP1WFXIl/8DYTTIp1Nx9f4ihETIJGnnp2t2WPMHsEqVKLl/jaF3kXK+vCbK1GuBEA663oVlbMMLzs67nSLADy5S8d4nYb+8JPXiuyem4r2Ht+BzaR2o9sm22lnqzCSTfgkvDhkoTxKrTczV8iOFIGs6HGrooC2R5gsdOyiGPlEco0lJUjdotlO0JTJYms6TTV002ymKoUejnbxDnVUIgaMbbM02kjVtnmnZSD7w8GulvYaUJHSTBjtBZzI360f7G9uf4HMd22m0k+h3ETSYmk7SMGcVl5OGyRe7dpI0zIdm/ng35ymEmDNwvXPD2f+3Iiil6J2c4dTACLvbH+xqk7vVzHGjgMv5cbZnG2lNpLFW0XbpoZgl1Vvt1Fvt877eYHXQYHUs8HonDdbCnoym5tCgLbyfGxjCZnPq0KLbaUInqWdJ6ot7wN0N1f3mSOq5Fd3vOiuLoXWQMJ+mrP2QIJq/VEvhUfZ+jFneRjrxdQy9i9WazD+oCKGjac041vP4YQ9z97MqYlXEDU6i611IzSKM+moLBPOHSbpsJmG9tFqnviBCWCSslygaf0nFLy2YffKCMxQr30bT6nCsp+AhVwyXMocUC/dNKeUSxeOE0eSqZJ6jeIaK+xalyvfv8NVbZ+0QGCSsFyga3yKKZ1ALKEF7wTmKle+gyQYS9rM87OMAqkG8oXXhWM8tGMBW73Fl8qU/xdA3IY3Uii9muf5pKv5HVTGXdRbFkNpsEFgVe4oW9aBwdINN6QY2pRe+p7UmMrQmFhewM6RGezJLe3LxuaSl6eyrb2Nf/d3rnZRDn7FKiRm/gi4kzU6KJ5u6seRDESqgFJRcj++cPE//1AyxUnTVZdnf2camxnpujW3/9OhpeienieKYrvocz2/dQGfdvc3VwyhmslTm495BBqbzFD0PTUraMml2tzezq+1mkPqj81e4NDLOkWv9XJ+cRqF482IPAPs6Wnl8QwdN6epzs+T5XBqd4FjvIDMVF9vQ2VCfY3d7C131WaQQVcXsKOIbR06xp70ZU9c4MzjKcL6AoWnsa2/h8Y2dJEyDsh/QMz7JuaFRRgsl3CAkaZpsbW5gf2fr7HGXw7hb4s96TvLbO55c0vW6HB6Oq3KddR5CpExhGrtJ2p9juvQHzB9kKaJ4inz5zxDCJOm8iqF1I8Ta9cTGyiOKqoqDutZ+X7LAmsyRtF8mX/6TBeyHFK5/hIT1PGgNBGFvTX14bqRIYeibsIydq3PSiyCEjqG3k3S+RBANEIRX5902VkXK3rsIYQMGtnkQ0NZs5VupkDguEMbDmPpWQF/WsXWtpeY5txARYTSCF5yc1+P3XonjAq5/jJnS/04QXmehRY51VhchNHS9jaT9RYKwDz+8OO+2SpWoeO/X1MZNbPMx1nYcRMSqQBgOYBhbEaxM9knXWnGsp8mX/oRYTS90BlT89ym5ryFlBkPbsCL3Y6VioniMQvkv8IOzqEX68tepKqDkgwrFsNrmoAlJWnceWSeH68UpegoT5AOPeivB/vp2WhNrI7K3EpT9gDODo0yVKhR9n6Lnc25ojLFima/uN2jN3vwsXhhS9DxO9g9zemCE7c0N9xzAxkpR8DyOXh+g7PtVS6Yo5tLIONcmpmhIJmjOVN0P3CAk73oUPJ+KH1L2A/KV6vVVCQLimgVS2fc5NzzGN0+cwwuqC/pCwNXxSUYKRV7ZsYXuhhwAQRjxzRPnuDQ6Tnd9jpF8kYLnAdUM84EoAgz8MKRvcoYTfcNEcUyMwgtCTg9W//7Mlu5li1OVw4Dz02NoNVeU1WQ9gL0L/DBiJF+gfzJPV32WpnTygWu+XufBQtfaSCW+Stl7Cz+8xkJKuUF4mZnSHxOrCin7ixj6BqRcHcsXpRQQEsUzRPEYQTiAH5xG05rJJH6eW1V+1wohEljmPgy9Cz+4wtzCRwrPP0GsZojjIkHUSxDOL/yka+1Y5iGkvL8Kiin7i7j+x1Uf0nh+cY0oHqXkvoZSLir161j6DqTMrtpiRnWyXiSKJgnjYfzgCkF4gfrMP0KKDMupBDD0LrQl9DGG0SAl94c45hMIkViByboiiqZx/WMUKn9RszFa50Eg6XwONzhGGI8Rx/MrQkfxOCX3dZRyyaZ+85ZxsDrP2+o4KBHFk4TRMEFwFS84RX3mH6HJelaiIkbKFKa+A8d6ipL7QxYqZ1eqTKH8F0iRJeV8BV1rXda4UCokiicpVL5NsfJdwk9h9lXV/CzvZjFiyi/TV55k0qtWDFiaTney/pHsB42V4uh4P1cLVZ2AZifFy21b7vNZ3R0VP6BvapqvHdzFtpZGJksV/uzj03x0rZ/2XJqv7Lu5kP1rTx3EDyP+5zff5+Pry7OTklKQtW12tzezuamexmSCmYrLd05d4Mj1fh7f0DEbwH5+11Ze2r6J/+3do7x96Rp/46mDHN5YrRDVpJjtEx2cLvCTS9e4OjbJ33v5abrqsxRdj784fpb3r/bhmMZsAHuDUwMjNKVTvLp3Oy2ZFGUvQEqBbVRLwi1dpz2X5oVtG9nSXE/SMrk2PsX/+NrbHO0dYFNj3bIDWENq1FsJQqUWtRpdLuvR110wU3H5zvHz/C9vfMjf++wzfPXgzttWdB4lwjjG9QO8MCKXsFe8+frTgpQOprGTbOo/YjL/z2oqqPNngoLwMtOFf4UfXCST/EUsYy9SpGpZOXHPmYDqwztAKZ9YubXSzSlc/yhl900q/lHieIJ04udIJ75+X9aXqz2jKZL2ZwmjEeJ5BHf88BphNApIgvA6ivl6SwWGvgHHemLVznmp6Hob6cTPEEVjlL13WGghI4onKFa+hx9cJJf+HWzrMJpsRAqH5WRFq9dAXLW3wUMpjyiuek+WvXeoeO8RhFeQMksu/feQYnn3NkPfhKF1UH3MLPR5xyi7b1CxPotjPQncexCrlE8cz1D2fsJM6d9T8d6+p/2sszroWitp56cJo9GaL+xCgkZTlCp/jR9cIJf+HRzzKTStqTYO7t0n9eY48FG4KOURxwW84CIV713K3rsE4SWEsMil/w4ai1URLB1dayKT/BUq3gfE6kbv99wEYQ/50h8BEenE19BkA0Lc3cKiUtXxHsbDlN23mcz/v2/pOf90UQo9SpGPIw1s3cAQWs0o4vbrSNVUfUuhx9ujFzk7PUgl8jGkRrOdYWe27Y5e1UeBCbfE+yO99BQmsTWdDak6nm7uvt+ndVckLYO9Ha28vGMzhqaxsaGOkXyBb5+8wLHeodsCWKhmNFciS6gJQV3S4ZWdW3CDkDCKyTg2HbkMZwZHGJi+qdFh6NXrTpcSWROJsudIhF2bmOJE3xAHu9poy6WJYoVjmmxpauDK6CQn+4f5xcf33faeDfU5ntnSzeMb5m6FtA2d7S1NdNZl8cKIMIrpqMvSkk1TdH2mK8v3SM+aNs+2bODExADtiTRNTmrO8WJpOnKZC0HrAew6czJZLPPm+R4+vj7Af/GVl8kmPo3quCuDJjNkk7+K639EyX19wQwcQKymKVa+Sdn7CQnrWdLOz+NYTyFlGqWqFkpLQ93yXwFBeB3PP0HF/wjPP1YT8Zg/sLgfCGGRcl6lWP4WMfMpxkb4wWWCsHdBGwghHAx9M5axe3VO9i5J2i8ThNcJon6C8MqC2yo8vPAsI1P/ANt8nLTz0yTsz2DoG1BK4+4yQjeug4gonsTzT1Pxj+L6H+EHZ4jiaVZjQqvJHIa+BV3rIIyuL3h+QdjH6PQ/pqXuv8c2DwHVjPliQcqNrMqN/XjhJfKlf0ep8oOaaNPDgkIt6SdY6u9U3U4tYadrLc6SsF8giPoJFyklhqpwmx9eYnTqP8MyD5F2vkrSfgVD34hSOvc+DqbxgtO4tXHg+adr42B1y8ylTONYT5GwnqXsvUU8b6tEFT+8yFTh92pB/N/G1Hdy62cWt4jL3PlbK2JVwvWPMlP8A0rua3waA9cb/HjkPD8cOsPeuk6ea9rG1nQzOtpslqhqmlgtGy6HPt8eOM4f97xPb2kCgHanjpdbd5HQl+9feT+Z656ggD++coyTk4N4UciuXDMvtm4mbT5c8z7L0OnIZW4LShuSCWxDY6I0v/7EcomVYrrs8ufHTvPelV56J2co+wF+GNKQShBEdyceqJSi4Hqc6B/ig54+/vXbH92xzWd3bSWKFdot9j/tdRkaU/OLUvlRxMn+Yb5/phrQjxWKREpR9nxe2LaJKF7+/aHJTvL1Tfv4J0f/mlG3yN661jsEygRwuLkLW1ueSN96ALvOnEyVKnx8fYCJYpl4aTOrdRZEpyHzn6OUS9n9CbFaXFAmjmcouT+i4n1QCwa2YRrbqqWZsglNZhGYIGQ1q6YqxKqCUhWiOE8UDRNEg4TRIGE0ilLFarZB+Sjl8aAFr1V0LGMPhr6JMB5Fqbm9loOohzguEkb98+7J1LdjGXuYSy3y/iBIOV9FKZfp4r8kjIaX9C7PP4UfXmG6+PvoehemsQNT34gmW9Bkfa1XUEOpCFX7/atZ9jJhNFL7/QcJo2GieLp2rdzIwgas5qTWNvfjWE9SKC8UwAJU7ZBGpv5PJO1XSTlfwjL3oYmFBU4UPlE0jOefpOi+husfI4pGiOe5bhzrOaJ4Ej+4yIOnSBzUxm+ZOC6jVJlIlVFxmVhV/+6HF4kWFaOKcYOTyPJfoWstCJFACqf2ZwIha38KZzarv7YIUvaXUHGFqeL/vORyVt8/w2TQw3TxDzC0juo4MDahyVY0WYcQzifGgTv7fYbR6CfGwdQt48BHKZ+16pGWIkl99h/hT/bWBOgWvg9H8RSFyrep+B9hm4+TtF7CMvfVtAo+qazuE0WTeOFZXP8Erv9xVQE9nmSuca5rnehaG65/ZMU+34OKH4dcLozw8eQ1vnHtQ+rMBB2JOhqtNEndQlAVMRp181wpjjETlCkGLgpotFK80LyNr7Tvv98fY9kMlvNcnBljwi1jahrTXoUjY318NNbHhFcipZscbuzi853b7/ep3j1qnlG8ylPYoZkC/8ubH3BpZIKffWwPe9pbyDoW71y+zvfOLLxINx9hFNOQTPDVA7t4YdtGPrnOmHXs24JXqGZ1F6oOeP3cFb576gK2ofMPP/88nXVZTF3jv/vBW7Nlxsvl4sw4f/utP2Haq3B6cphvaWdr/bA3kULw51/4TdoS6wHsOiuMUoqpssvZwVEaU/e3d/DRoDp0da2dXOp3AZOy++NaCdlCxNVgVFVqvVkjuMExpLARWLV+MFnbf4wiAhWhiEEFxHjVXkrlrukEbTlUs0EWjvUsQXh1XvVm1z9ZFRyKJubdl2XswjL3PUDy/wJN1pN0voRSEdOlf020hCBW4aNin5gZwngUP7hQC0YsEAYCSfU6iGu/fe0aIKpN0t1aQLv2ixamvg3HepqK996Ciw1VqkFssfJNKv776FobRm2CLWWqNlkPiePKbX27UTRcE58aqykNzx2YOubT5FK/heufJIqn11SFNQh7cP1j+OG12xYZ4rhSLWON3VogFdbOP6oGYrUxDdX/rr5vsQA2wvWO4QdXEMJEoIHQqn+i1fqpa38XelWkSNq1INeq/enU/JO3YJuHMPSVLCUUSJkj6XwBRchU8V8u6be4EWjG0QxRNIofXkK4c40Ddfu98AEYB7ejYeibySV/k+niv8QP5xehqxKjVIkgvEYUT+L6R5Eig5QppEjWyorj6qIHbq2Mvkis8jXF5zJzzeBNYydp56tImftUBLC2NDClTj5wyQcuE16R/vIUptTRa5P+SMV4cUg59FEoBLAz08YX2vfySususubaWrGtBoOlPD/ou8CR8T4kgiCOmPYrlAIfU9P4XOd2fnrjHnLWw/dZvShiNF+8rfdyqlzBDSNaMqs3ly24Hh9e6+eVHVt4clMnHblsrTxYp+jdqeUhRbUdTMG8Wc+UZVKXcAiiiN1tzXcEsLP7uCXBJOCO7W7l8ugEZT/gpe2bONTdhmMYxKoq5LTcct4bdCWz/JPDX1xwGwHkVmAsrQew94gELg6P85MLPVyfmMYPIzKOTXdDjue2bZizbzSKYwam8hy9NsD1iWmKroepa7Rm0+zuaOFQdztS3F7SVfED+qdmODs4ysBUnnzFJYxiHNOgoy7Dno4W9nS01C7cm+8bmi5wpKef3olpfvvFw0yXXT682kfP2CQlP8DSdTY11vHyrs3UJx2EEFwaHuf0wAjXx6e5ODJO/1SemYrHP/3um1j6zUtlX2crP3t4z4pd8J8Gqr+NjmXuI5v6daRwKLmv1Xpil0JcnbhGhQcub7QaJOwXKLnz2w8F4bVa9nAeA3hZh2lsx9C6VvEs756qnUYHKecrCKExU/w3BFE/S1tcUNXe5QX8ZB80pEzgmIdJOV9lpvj7S1A+VUTxOFE8ThBcxpNppEgjhIUQRi2Iq/ZyK1UmVkXUot+HjmnsIpv6DRzzaZQKMbTONQ5g+ym5r1PxjlLtRQ9QKkQRgApQhKzkAlOsZoijxRbIbqAhhI7AqAW0Rm1xzMCxnkaTzSscwFbHga61k3K+BGjMFP91bRws5e6mULhE8cMzDm5FCIHAIul8ljAaplAJFlQnv0lEHE/dIn4lEeggdFBx9Vpa4tNB1zpI2a+SSvw0YTiEFJkFvbQfBfbXdfGbW57n9PQA10vjjLh5ZvwyldAnUNUFDUPqOJpBW7qJNifH9kwru7Pt7My20+ZkkY9A76sQ4MUh45UilShEACnDYn9DG082dfOZ9q3szDU/lH2+Zc/n9MAwH/b0s6mxjpmKy5FrA4RRxJ72lju2VzWhIQUsVD2rFLPqwErN35pR9HyiWFH0PC4Mj/Phtb5ZBeFbkUKQNA3COObs0CjbWhqqvr6axDENDE2jqz7H7vZmjlzr570rvWxracDQNAquR9n3ydg2Gxvvsj9fQBBFuGFIFCvGi2XeuXydgen8vPuK47j6mWuffTHSps1LbZsX3c6Qy6+MWw9g75HLoxNcHBlnqlTBC6PqRRGEGJrGeLHEV/bvoOUWgSc3CLk6NslfHT3LxZExgjBGSEEYxQgxxPHeISaKZZ7ftoGEac6uoowVSvzwzGXevVydyAuq9faVIECXkgvD4yil2NvZeluKfrpc4ei1ft6/0scL2zfy4/NX6Bmbouj6eGFIJQgZnJ7hxR0bZ9+Tdz2GZ4oMTOcZL5TwghBL1xidKaJrNy+27vps9Wpej1/vGiksHPMwAgMpM5TdHy/aB/ZpxNS3Yupb8IPzc06sFvKRBLD0nZj6VqRcgkn5GiOEgaF3k3a+jkCn6H4P1z+16Gd6OBHoejdp58uE4XWK7g9Y6iRb4RPFE0TMn2Vf9OjCwTL2kE3+DRL2S2gyi6F1YWhduKxd1ilWRcJwiHABP+j7x41sr3dHoi6MNi7oXbwchNDRtU7SiZ9BoFF0v4fnn1xSe8WjgK61kEr8FIqAYuVbSwxibyWuLgipu7PD0WQLKeenSDpfxtA3EccFdL0DP3i0A9iuZD0NVoq9uU4GylOMewXyQQU3Cgni6j3JkBJbM8iZSVrsDJtSTdRbScyHxAd1KXQks7zauZOtmUa8qBpcJQ2TzmSWvXVttCXSmNrD+XkTpsmGhjreu9LL+1d7mam4jBZK7Gpr5nBN2ChWilP9w5wfHmOqXOFY7yBD03m+dfIcJweGyNo2n9u9laxj0zM+xdnBEfqn8vRPz6CU4ofnLnNlbILmdIp9na3sbG0il3B4ZccWLoyM8adHT5GyLfwwIorjOa15hBBsaW5ga1MDR671M1NxMXWNA51t7O1ooS7h0F2f5ZWdmym4Hn999hIf9PShSUmsYhpSCQ51td91ALunrYWBqTxHrvUzVa4ghaDs+TSnk2Tsm/3O+YrL8b4hroxNMl2uMDA9Q8UP+MZHJ2nNpumqy/LyjrmDVCnEbddPrNQdCbaV4uG8Sh8AjvT001mfZU9HC5ub6gG4NDLOd09c4BsfnmR7SyO5pIOl68RxzFi+yJ99dJofn7vCk5s62V27SIuez7nBUd6/0svA1AwduQzbWhpm7XmiOCaMYzrqqv/emEoipWBwKs8HV/t48/xVLF1jT0fLnLUDBdfj2yfO0zc5w662pqr5sZSMFUpoQpBxbl60bbk0z2zt5kBXK8d7h7g4PE57LsOvPH2QtH1T/bAxnXyAyjIfPoQwsM3H0LRGdK21pjh7oTZxu39lvgILKRJU6wvuL1ImscwDuMHxe5hYCWzrcQxj8VXA+4UQGprWQib5N9G0VjT5ndn+zfvrz6hVM56zpenLRwprVok7VmVc/3htUWI1r/VqmaptHiLt/AzpxNdqWUWBrneg653clG1Z534hhIYmG8mm/ia63kqx/B0q/sdE0XA1oL5vSKTI1MquVw/L2A6J2kJW5Vv44VVWr7xZomudpJwvkkn+Iqa+A4FEiASGvgk/OLdKx31wSOgmW9LNbEk33+9TuW+0JTK0JTJ8kR33+1RWlJZ0ii/s3srhjZ2cHRzl4ug4URzzxMZOntncTXd9NdhTSjFRKnN5bILJYpm6hENdwiHvepwfGqMxneTFsLqgUXA9rk9Oc3VskiiO+eKebURxzNXxSfKuR1d9NTitTzr83ON7+d6pCwzlC5T8gB0tjeztaKHiB2SdO8WwdrU2Ee6LefvSNYZnCjimgRuEs5ozGcfm8IZOUpbF25evMTxTJFaKjGORcxwabhFr0jXJM1u62d7SiLNAL+uh7nYUig96+hiYypOyTZ7e1M2u9maqnrHVsl4/ihicznN+eGy2hBmqvb5511uw+lIpRaQUvcUpBkozFAKPzZkGtmQaiOKYCa+MJgRNdmrZ7ibrAew9UvYDfurgLj6/Z+vsxTleKDGaL/Hm+atcGplge2sjzZkUlSDk4vA43zp2jqe3dPF/+OzTdNfnZoPAnrFJgijir46d48OrfTRnkjQbVc+ozrosv/ncY5iGjqndNHMPoojWXJp/9oN3ONLTT6wUUqk7AsuC6/Hm+av8V1//HAe72khY1UD0RinArZu35zK05zKEcUzJ96veVo7N4U0d1CUfvn6IBxkhJKa+ET35N7DN/UyX/gjPP1kToCmzdgIzEinSaDKLrndjGrtXfdK2VBzzEBXvJzWhk6UHGlJmsIyqyMmDjBACISzSia9iGTspVL5J2X2z1us2w0IWIyt8JgjhoMksmmzCMvbP2jatFFImcazDSPl/Zarwe7j+kZoV0sp/RoGFpjXgWE+TSfwSCfuF217XZAO61oEQSdQiKrDrrD432itSzpcx9R0UK9+i5P6YIOy5T+MggyYbMY09tQW91V2stYztyOSvoGmN5Ev/jiC8XlvMXKnFFVlVZNc6SCd+hnTyl9G15toiFchaALu+oLPOw8y+zlb2dbYCzGsjA6BJySs7t/DKzsU9bvd3trK/ts+FsHSdbc0NbPvss0s+31zC4YVtG3lh28Z5t0laJo9v6Fjw8whR9Xn9h59/ftFj1icdPrdrK5/btXXB7RpTSX75yQP88pMHFt3nJwlVzEApzzeunODj8X4uzIzxG9sP89s7n8KNAt4f7aUS+vzMxr2k5PIUvR+4ANbSdTK2hRCCjGXOlVR8IHhsQwe72ppuW1mxDJ0nNnXy3uVeJoplyn71wTtWKHH0+iBRHPP89o3oUpJ3b64ua1Kyp7OVvzp2jlP9I7y4Y9Os6bGuSZKaRRBFVPyAWKlaPbrC1nVyCYfpsjuvUnDSNHlm6wb2dbbOBq+wcKP3OmuHlEls62larScoVV6nUP5LXP8oUTxeE3RZ6dV4wU0BFwNNZknYL5K0v4htPoauNa7w8e4d09iFoW9BiMRdldfaxmMYeldV3OUhwTS2UW/8A5L2FyhWvk2p8tcEUV+tzzdk5SeWN0V8pEhhmXtI2p8nYb+EqW9a4WNVEcLENvfQXPf/Yrr4rylWvln18VU+K7NgoyOEgalvI534OVKJn8LQ2uY4Dw1da8bUN+EFp1bguOusFKaxhTrj/0jC+QLF8rcpVX5AEF2/5V640ln7W8dBEsvYTdL5HAn7M5j62lVwGHo7meQv4ZiPMVX8X6pK9XF+mb3R1YUBTeawzIPUpX4Hx3oSIW7P0EjhYGobl/kJ1llnnXVgwi3zp1dP8NrART7XsY0Z/6ZWgUTghQHfuHKCL3TuIGU8QgGsoUl+9fH9/Oz+qm+jEIKUdXfG3WtFV332jnOTQpCyTaQQVHyfoFaGUHQ9eiemqQQh//Q7b6Jr2m1rugpFEFUfUvmKe5tnVKwUE8Uyr5+9wsfXB+ifzDNTcan4AWU/oOT5NGdS8zaVm7rG1ub6Zafq11ltNJL2KySs5/DDy1S8dym7b+H6Hy/qFbh0BJpsrKnzHsI2D2Eb+2sKrxYPjt3MDTQsYzeWsQvXv9MHbT4S9gvo2uKrpg8eEsvYhalvJZv8G1S8Dyl7b1Dx3iWMxlipxQyBjWlsrV0Dj2Gb+2uWHHZVFGaVkSJNXfp3STtfouS+QbHybVz/OMsJYoWwcMwnSTqvkrBeQNc7qxZT86DLJkx9y3oA+0AisfQdmOlNZJO/husfoeTeGAcjrFxG1sQytmGZB6vjwDiArndUBcNYGUuJu0FgYRq7aM79U7zgFIXKtyi7PyYI+7iXIFaTzSSsZ0kmfoqE+QxSJplrylctId7MegZ2nXXWWS5TXpl3Rq7xH+95jhdaN3O1MDn7mqMbtCbS9JWmCePlL0Y+UAGsEAJL129TvH1QyTg2hn7nhF8IAeKGIXaVIIopeT6GJnlxxyZyCecO/6YbbGysmy3XDaKIY9cH+f2ffMTVkUk2N9VzsLuNhlSChGlwbXyKH527sqB6miYluYTDPIdbQyTZ5K+StF9ZeCvhoGvzl0s8isyabouq+qdp7ETXOkk6rxJFkwThNfzwMmHYSxiN1FRap2uWGj4Q1JRDrZonqI0UCTRZj663omltGLIVXe9E11qQIouUyZoFg0O1xKx6DtdHpvjxscscvdhPoeyRTdn89pefYs+GFjRtaYsgSilcP+T/8b+/Tu/oFFEc89Subn72hX10NOVu29YPQr7z/jm+9e5Z/DAk5Vj8x19/jm0dTVimTsJ+EcvYTXwXGVhda0eTuUW3e9AQiKoKrNAQoo2k8zkc60kiNUMY9uEHVwmia4ThAFE8ThhPoOJSVZGXoLoHYdWsUKpWS5qsQ9db0LRWdNmKrrVj6J01/9hE7TpIAMaa9bVXVVhtDH0TmUQjCfslwnAQP7yIH1zED68SxRPEqkgcl2oqw6pm92IhRaZWBlxVxzX0rVjGtpo3ch1Spu/IMn0S09hJQ/a/IJf+O3Ocn4MuV7YSwbGexdS33dV1/CAgRQpNa1rTY1bHgVa7l7WSsD+DbR4mUtOEYT9B0IMf9dTGwVhtHJRv8TUWVfsgYSOFhcBGkzk0rQVdn2scJO/LOLjjc9dKqSGJZRxA1zaQSfwSQXgVLziLH1ye9fSOVWlWfVsI8+b9XmvDMDZhGXsx9a3oWitS1iFFat7PJYSFbe6nq/k785yZVvUcFw+eIN4694exiQLvfHiZb//wzgXAdMrm8IEN/NrPPnUfzmyd+40fR4xVimxK15MyLbRb7jsCgSZETTRt+YtlD36k+ICia3LJNjJSCHRNokvJ89s3squtGduY+6t3TJ26RDWA7Z2Y5q0LPZwfHONgdxu/9OR+WrKpWZntD6708e7l3tlS5bkQAjRNcL8lgwUCXWtB1+6UMl/nVgRS2EjNRtGAoXVj6lux1ROouECsyjVfVw9FiFIxEFf7mcRNn8dqQFsNZIVMIEWiNomxaz6QdzJZKPPBueu8d+YaB7a2U59OEkUx9WkHcZcrIIau8ZVndjE8WeC775+jf2wGL7gzw6Zpkv1b2rFNg/O9I3zz3bOUXH+2JF6TuYcyGF0eAiF0NJGt9ibTgaltxDIOEKsCKi7W/CzdWuAa164D7vD4lMJCCKd6HYgkUiZqCxdrl2GKophrl0f58z9+D9+rZpE/++UD7DnQRTrTgJR1GNoGLHMXUTxNHOeJlTtrL6NqFhc3rvGbwUn1mpay+j1VS4jnv07DMOJ7f/kxqbTNgcObqG/oxmBl7WHmQ5s9x3WWjqiKPM2Og3ZMbROxcYBI5VFxiVhVauOg6p879zjQaos6ido4SMwu4C12zdwPqr3xCaRMoKsWDH0jlnmIOJ6uer2qMooApaLa9hpwY6wnaz28DUtayKm+XyJEEtu8+363dT69KAWeH1JxA1w3oOz6BEFELuvQ3VF/v0/vocALQ6aKFUbzJfIVl6Ln44cRYRRV2wXv9wnOQVs2zfO3uJd8El1IUobFqFtka3z7QnAhcLk0M0FHMrsiNk3rAewa4JgGzelqT2sQRbTXpcklFhdFGs2XuDgygSYln9uzlcc3dcxmp5VS6Jqk6Hkr7k1WDXerD/WbLlnrrDU3MnKalkMjt+rHG5sucm1oCl2TfOWp3eTSDn4Qkknad+X5K4RA1wRP797AVKHM8csDVLy5F1k0KdnS3kB7Qwbb1Pnmu2dX6uM8MggkQqaQMnW/T+WeEEAiZbFpawszU2W++xdH2bG3k227qv2p1Qm0g8RBn6NndaWII8WFMwM0NmfYubdz1Y6zzupQHQfVbKnO6l0nDxK3BvDrrPOgkEraHNjTRSpl4fsRfhDy3tEezpwfuN+n9sAzMlPk2vgk18amGZrOM1msMF1xKXs+bhASRjFRHM+ra3O/eWxTx4IBbNa0ebK5i29eP0MlDBl3S6QNm3dHrtFbmOK9kWt8oXMHtr78RfT1AHYNqEs67Gpv4vunLvDupes8tqGDlGWh31KSqZTCCyN0KdGkQAhBGMcEYYShSZozqduCiNFCiZ6xSabLLvXJlS3tEaJqqKxrkoLrEUUKNYfC8TqPFvlS9SbanEuzofUuDbLnQ4ibJdKLb7wyx1zngUJqkraOOr7+K08zOVbgzdfO3J/zkIL9j20glXFIJB8ega8HkemJIoXpMk7SorG1GlwppRjoGWe4fxLLMWjf0EhDc2bO9w9eH6dc8mjpqCOdXS9NXWedhwnHNti8oZHNG25m2ApFj2u941S8+2kD92ASxjEThTLnh0Y50z/KucFRLo9MMDJTwAvXynFiZbghMDsfdVaCL3ft4o8uf8ybQ1cYq5QohwHTfpkwjqmzE/xU9y4S6wHsw0FdwuFgdztbWxo40tPPWxd6KPsBdQkbIQRBFFHyAoZnChza0E5dwkHXBDnHpiWb4urYJCf7hmhKJbENnUoQ8FHPAB/1DKCvgjiTFIKkZdKSSTE0XeD0wAgbG3PomkYUxyRMY9GLeDXw/ZCpyRLDg9N0dteTzSXQ5+hDXufuuD48xXSxwplrI4xMFrEMjQ/P9QKQSzl0NmVJ1HyAXT9gfKbExEwZP4wwdEl9OkFDNknSXl3BtTCKGJ8pMT5TxvUDNCnJJm0as0kySZsgjDhzbYSOpiy5pE0YxYxMFShWPDqbcmSTNmUvoHd0iqZsisZscknH9YOQC31jZJM2zXUpbLN64614AaPTRYoVjx1dzeiapHdkiihWWIZGvuxRrHhoUlKfSdBSl8IyjE+1AriQ4r6tU+iGxhe+euj+HPwRozBdZqh3grqm9C0BLAz1TfDOD05jOQbPfWHvvAHs+eN9DA9M8uzn96wHsOuss84jiVKKShByfXyK9y718u3j57g2NvXQBa13Q9IwOdzUScqweG3gIkEcUQg8dKGxr7GNz7ZvY0duZXyY1wPYNUDXJBsbc/ydl5/in732Dn/47jHeu9xLV0MWTQimKy7DM0WujU3yP/3618jY1exsZ32WQ93tvH+5l3///klGZookLYuh6Tx9k9NEsWJrSwOj+ZUXBmlMJ3lm6wb+6uOz/E8/fJdd7c0kLJMgjNjd0cwvPLFvxY+5GPmZCm/9+Bz/5vff4j/5R6/yzPPbSKfX/WmXy/c+PM+R870MTuQplDyEgMsD4wA8ububX//8YTa11ROEEdeGpvjuB+dqIk8uKdti/9Y2PvvYNvZvbscyV+eWEkYxo1MlvvnuaY6c72ciX8LSNbZ3N/Hywa08u2cjXhDyX/3BD/jNV5/gxf2bGZ8p8Y03jnP22gi/89VneOnAZq4OTvAv/updvvrsbr781K4lHXu6WOG//rev8cyeDfz8Swfoas4BMDSZ58/fOsWpq0P887//dTIJmz996yST+TLtDRmuDE1yZWAcKQSHtnXw8y/tZ2tH45zib+vcxHMDKmUf3w+rrRKGhuOYOInqAsmsF3YQUin7eG5AFCmEAF3XSCQtLEtH1ipcoihmYqxAHMegwElaJJIWhnHn7+C5AZWKj+9Vj61pkkTSwnYMZG2xsFL2cSs+lm3g++Hstoah4SQsbNu4657xBwWlFKWCSxzFhGGMrFUDxXFMMm1jmDpuxSeVTbB9fwI7cXPRSkrBEy/tJAxjBnrGbt9vrCgVXXwvRAiolD3UQuqD66yzzjoPMUop3CDk3MAIf/jOMV47ffl+n9KaoUuNvfWt7K2vukGoWj/v3bSiLek4K7q3deYlaZm8uHMTXfVZ/vzoGd6/0supgWFipahzHLobcvzN5x+noy4zW1qcS9i8snsLuib5d+8d56+OnUUg2NRUz08d2MG21kbeuXSd75y4sOLn21Wf5TeeewxTk7x14Ro/OHUJBDRnkrRk708vnq5LEomqN3Aqaa1bA60Qv/nqE/z6Fx7nw3O9/PVHF7FMnf/0F18GqosvZi3gujo0yV++c5qPLvTx2196kq2dTfSOTPGNN07wjTdOAPDEztURxRmbLvKt987yjR+f4G//1NPs39zGVKHCdz84xx+/fgyAJ3d2s6mtgfGZEiXXZ3S6QKHkYRs6PUMTvHRgM31j0zRkEmST9iJHvHc+utDHptZ6vv7CPjZ+5WnO943yv37rPdIJC9s02NS2LnCxEKeP9/KDbx7j1LHrhGHExs3NvPSFvbz604fQ9JtjvvfqOK9/9yTvvnWeibECjmPS0d3AV37ucZ54dhvZXDWzl58u8w9++/eZmSwRRTGvfu0xfuaXn2LjljtXgc+c6OO17xzn+JEe3LJPW2cdX/qZx3npC3vI1DKFH7x9kR99/xRPPLuVc6f6+fiDK0RhzMYtzXzxa4/x/Cu7sO21t2FZCaIw5pt/+C7TE0UGesZI5xLYjsnMVImf/1svsetgNx/++Dw/+d5JDEvnxS8f4JnP7l50v54X8N0//oATH1xBN2T1+9r+MFpdrbPOOussjlKKo9cG+Jc//pCPetZ7g1djSXc9gL0L6pMOv/L0Qb58YCfZhE3SvL1k0jENPrNzMwe72kiYBin7Zp+VEAKNqk3O77z8JH/zuccI42oZgRTVflPb0ElZ5uwqhRCC+qTDF/du49mtG2rbV/tTk6aJoUt2tDXxy0/tx/yE9dCW5nr+k88/x++8/CS5hDMbhCwVKQQtmRS//eIT/NozB2c9mzQp7/jca4WuazgJE4EgmbJmMyzrLA/L0FBomIaOLiWGlCRqE/BbbzoXeke5OjjBTz+7hxcPbsHUNTqaMhRdjx99fJkPzvWtWgA7NJHnJyev8jPP7+Wzj20ll3KIYkWsYr77wXl++NFFntmzga0dDUzMlCh7PiNTRXRDY+eGFq4MTgDQOzJNfTpBJrF6AWxrfZqnd2/g+X2b0HWNjqYs566PcHlgnOvDk+sB7DxEUcyFs4P8yR++S9eGBn73H76KaelcvTDM9//yY6Io5rOv7iOVcRgZmuYnPzrLlUvD/PrvvExDU5py0aP32jhtHfU4zs17VCaX4H/4l7+FWwn4vf/2u7d7nN3C0fev8J0//wjd0Pitv/dZ0mmH61dH+Yt//z6eF/DS5/fQ1FItlx3onWBkcIqnX9jB3/+/fBW3EvDWD8/w9utncRyT5z6zc42+tVVAKTZub6Gtq55y0cVJWaQyDudP9LJjfxdPvrwT09K5dnG4Wje8CL4XMnh9nBMfXOFX/+4rtHTW8f1vHGF6YqX8rddZZ52FUEoRRTHnL49w6vwAl3tGGR6doVDyiOMY2zZoacywc2srTx7cyOYNTXNWqKwmQRjRNzDJB8d6OHthiOGxPBU3QAqB4xg01CXp7qhn59Y2Du7tJJNykAtUuoRhxPEz/Rw9eZ3LPaNMTJcIw5hkwmRTdyNPHdrEvl0d1OeW1kp0t3zUM8CfHznNqb7hVdn/g8L//dgPuTA9tviGtyCF4L9/+qs02sv77tcD2LtAk5JswiY7z+T3Ru9o0po7wBNCYOgadfrSy141KUnZ1m3B8K3YhjFru3Mrpq7TkLr3n/eGkmzVk/bBKNOtZmAthIBkyp7TS9d1Az4+cpVjR68xNloApchkE+zY1c4zz2+jvuHhVHJdTaq+nFXLpZoE9R2lHq4fMpEvEUYRO7qaZvtdDV1jU2s9tqkzMpmnWPFIOSsrkOOHEVOFCtPFCns3tZJJ2pg1G6qOxiyNmQSneoYpVXw2tdXzxrHLFMoe4zMlbENnR1cTf/7WScIopndkiu1dTbMZ2JNXBvnD145Sdm8KT1iGzlef3cNnDm29p/OtSyVobUjP9g2busamtnrOXh8hX/aW+W08uoRhxOvfOUFdfZInntvGrn2dSCmpq08y0D/JGz84xdMvbCeVcfDcgEK+gooV3Zsa6drYRBRGbN3ZRjJlod8y+dI0SWt7Hb4fYjvzL769+8Z5hBQ89fx2Dj+zFV3X6N7UyMjQNB+8fYntu9tnA1hdlzQ2Z/ni1w6RzSWIY8X0ZJGTR6/Rf3181b+r1SadS+AkI3RDI5GycJIWIwPTQLUEO5l2MJbYLhAEIeMjebJ1CRpaszS0ZGloyRDOYau1zjrrrCxKKaI45l/8wZucuzzExGSJYtnD9QLCMAYUUkr6B6e4cGWEY6d6+czzO/n8C2tXSVIsubz5/iVe/8l5+genyBddPC8gimNAoGkC09A5d2mY42f6GZso8FOf348zx/lFcczUVJlvfOsjTp7rZ2SsQKns4QchcVytKusbnOL0+QH27+rkcy/sYt/ujhWt6BueLvDm+R4+uNL3SPS7ZhyLzrosm5vreXrr7UmKVieDF4Wzf1cKSqHHW0M9dKfq6EhmSOom5TBgoDTNpFfhZzbtxZTLXyBZD2DXeWgwTJ3NW5v53f/k8zS3ZG8rJ4Rq/9rVyyP8xZ8cYcvWFrZua0EpqFR8Aj9EW8/Y3jNBGOEF1ZuUY93+0LAMHU1KwjheSkLmromiGDcIq314tnmbGrZp6BiGThhV+/W2tDXwF2+dYnA8jx9E1KcTtNankVIyNJGnd3SKZ/ZsIFMLYJOOxea2BtxbvJRNXSeXWnzRJo4VwRwPJ02T6NrtN2fHMojieLaSYZ07iSPFudP9xFFM8K2I939yEYBKyePalVGGBqbw3Gq/aa4+yZZtrQz3T/GX//5DNm1tZuvONrZsb8VJWHOuzM8u0HwCpRSeG9B3fZyujY1s2to8W36sG5K9hzZw/KNrTI4V8f3aGEhYbNzSRHvnzWx6U0sW3dAoFtyV/3LWGF3XUAo0Q0PTNYQQqPjeLNWkEFimTrnkEUfVPuQwiAiCcPE3P2T4YcRYocSpwWEGp/JMl10qQfXeYmgaCdOgPunQlk3zxKZOUta6GvajwsBUnr88fpbxQlWT5OUdmzjQ1bYky8TVR+B6AZNTJVIpi9072mhuTJOqJWMKRZfT5we42jvOiXMD6IZGa1OGJw5uXJOzO366nx+9fZ7T5wfIpB1efHorrU1ZTFPHD0JKJY+xiSJ9g5MUSx71dck57/FxHDM9U+bf/cWHvPXBRWbyFTZ0NvDs4c00NaTRdEmx5HGlZ5QzF4f4yQeX8IMIBRza27Vin+f9K7181NPPdPnhexZoUpJL2HQ35Oisz9BRl6U1l6YpnaQhlbhDwPUz7VsohTe/uwm3xPf7LvB860Zebt9KeyKDKTX8OKK3OM3RsX68MFwRc84HOoAN45h3+3vpTGdoS6VxjAerr2iyUsbUNFLmyj2ERktFspY96/d6txwbHsLUNLoyWTKP2MNR0yTNLVm+9FMH53zd90OGBqc5e2aAL37lAHv3d2EYGtNTZYB164xlYOgS2zBQCqaKldteK1Q8gigik7CxjJW/pWiyWl6va5LxfIn4FvGXsutT8QIStknSNjEbdaJY0TM8iQBaGtJkaurBp3uGKZQ96tOJ2QxyR0OGrz+/l+iWyFsKQTpx67VSrZwIoxh1y3Z+EDJVuP27AKj4wW0ZXYCZkouha3ddyv9pQamqVdfMVIlsLommidnyVCdhsmtfJ7v2dZJMVX+XdMbhwOGNAFw6P8Tl88NcuzzKpS2DHH5mK10bGm/Lwi5GpRLguQGWZWDfoqYthahmWKMY3w9nrz3D1Kj7RDWHpkkQ1QWXRxUVw6kjVzn78TUGro1TKrhk6pJs2NaCaRuc+egaF070MjEyQxhEWLZBx6YmmjvqSKZsjv7kIvVNaYZ6Jx5aoav5mC5XODM4ylsXezgzOMrQTIGZiosXVCdrhiZrAWyC3W3N7GxrXg9gHyEmS2W+d+oCV8YmAWhMJ9ja3HDfA1ghBFLAi89sY2NXA5m0Q2dbjsaGNEnHBAHFoseuba381Q9OcPbiIFeujXH8TN+aBbCnzg9w8coIqaTFM49v4qc+v5/mxgymoRGEEaWyz8RkkYHhacoVnwO7OzH0OxMSxZLHRyeu89pbZymUPB7f381LT29n7852GupTaJqkVPbouT5O/dvnOXLiOh8c6yGVtOhqr6OxfvkVepPFMh9e6adnbOqu3pe0TBpSCXIJG8c0MHUNXcrbFuxP9A4xUSzf9j5B1dqmoz5z2/xLqapzgxeEeGFEwfWYLleo+AsvHFqGxpbmen7uib1saMzRlsuQTdgY2tzP082Zhtv+fmF6lJ7CJL+x/TAvtG0mbdy8x23NNKJLyb+9+BG/ueOJpX418/JAB7BRHPP9Kxd5vmsjWdt+4ALYk6MjNCWS7GlaGUlogHf7e3myvZP29Nz2A4vx3kAvadMiY1mPXAC7GJomyWQcWluz9PdOkkhatLXlaGrOkErbC/ZLrLMwlmHQ1pgh6ZgcvzTAjq5mUo5JxQs4c22EKFZsaK3D/ETQUFWfq076F8veKBSoO9vqDF2jKZeivTHLh+f62NHVTHMuRRBGXOwfYyJfYntnI7ZpYJtQl05wfXiSruYcrfUZErZJW0OG989dJ2GbZJL2rBKwbRm0WgvfVzRN0JRNMjxZYGy6SC7l4IcR14anGBibvsPKaTJf5trwFMOTBVK2SaHice76KA3pBA2ZdcuQhTAtg83bWnj1a4fo3tx0x+vJlD37QO/obqC5Lcfjz2zh3Ml+Tn58jR99/xRSStJZh8ampd9DNU2gGxq+F+J5N7PxSkEx76JpEtsxZgX2pBCPpIWXkILOzc3UN2eIwohU2sa0DQxTp3trgBAwNjiN7wckMzZKKcaGpmnb0IBuaIz0T6KUIpl2CPyQidE8HRsbaWjJ8tQru+m9MkK56FHXlKa5PUdiFcXU1hI/jDg7NMoff3iCNy5cJYoVUggytkU6nUQKiGKFH0aM5It012eJV6NcZZ115kAIeHxfN08c3IgU4ragCCCdtGlpytA3NMXw6AzjkyX6BqdQSt2x7WowU6hQqvh019ezY0srO7bcLvCWyyToaM2xb1fn7Of5JEopxqeK/OCNs8wUXBrrk3zx5T08e3gLqVuSF6mERUtjhkzaYabg8uHxHk6dG+DUzgE+89yOZX+Ws4OjXB2doLQEP1zH0GnOpGivy9BZn6WzPktrNkXasbANA0vXkOJmoP7ffudNJovl22ZSUgq2tjbwlYM7aUjdnF8opfDCiLLnU/YDJgplBqfzjMwUGSuUGJ4uUJzrHFU1aZBxbDY3N+CYxl2pB3tRSH9phoxpo33ifZqUmFLjan5iRarRHrgAthwEzHguXhgSK4UXRbMT30oQkPc9KkGAEAJH16l3EhR8Dy8MCeKYWCksTacc+DQmkiQNg3IQUPA9/CiqihAZJnW2jRdFzLgufhzNyjzbmk5zqroKM+O6lAKfIIqqjeSGQaOTwI8iplyX13uusClXR9o0sXWdpkS1IXmoWECXkkgp/Ci67bXRUhE/ioiUwtQ0MqZF0jRxw4Cpiss3L57H0Q3COCZtWeQsm0gp8p5L0fdnP1/GtkgaZu1cKpSDAF1KSn5Ayrg/Ikv3Gydhsmt3O59/dT/vvXOJUyd72bCxib37O9m1p6NadrxeRnxPCAHbO5vYu6mVD8720pBJ0t6YYXS6xNELfXQ05WYFnKI4ZmKmTKHsMpEvM1N0cf2QnqEp4hgcS6etPoOmSfIll+litb+1f2yaKI7pG5muBpoJi4ZMgnTCpq0hzcsHt/Cnb5zk9aOX2NhaT9H1+PjiAFJIXnls2+y5drfk+ODsdTqacrTVZ0jaJu0NWV776CI7u5vvKIFeDMvQeXxHJ9/94Dzvnb3ORL5M0fU5fXUINwhJfSKQKbs+F/rGeOP4FZqySa4NT3K5f4wvPrmT7ua65f8YDzGzGWylbhNSEkKgaZLtu9qYmiySn6kgpcQ0tWqpdq1f8sbj0HMDfD9ECEGuPsmzn9nJgcMb+e/+b39J3/VxxkfydwSwqibepO5QcRKkMwnaOuqYnirRf32ClrZc9fqcKXPudD/1jSmydcm7yuo+jGia5MUv75/ztR37q2Vir3ztsXnf/+ovPjnva/Pt91FgrFjinUvX+fH5q8RKYeoamxvr2dnWREs6ha5JvDBkuuwyWarwwrYNJM0Ha0F+nUcXIQTGItVRUgq62+tpqE8xODJDqeQRK3VHELIaZNM2Scckn69w+doYQyMzZNI2Tq1l6MYpLHQqYRQzNlHkxJl+lFIc2tvN1o1NtwWvt7JrWxs7t7Zw8eoIw6MzfHTiGi8/u712nLv/zDeebR9c7lvU2lIKQcax2NnWxEs7N/Pyrs101GcW7cPNJauJmOiWKjSBoD6Z4LGNHXTVZxd8vxeEDE0XOHZ9kDfOXeXs4CgThRJ+GM0+Ect+wNFrA0yVKvyDLz7HgQ1tpGxryUGsITXqLIcPR3uptxI02UmkEERK0V+a5sTEEE1OekWuqwcqgI2V4szYCN+8eJ7e/Ax1jsNQoVDrrVOcnxjntZ7LnB8fQwrJ9oZ6fmv/4/zo+lUuTIwzXCzghiFb6ho4OjzA3zp4mGc6u/hwoJ8fX+9huFggZVo80d7BL+/eR8/UFH92/gyDxTxKgR9FbKqr4x8/9yISwQ97rvBefy8TbpmkYXKguZXfPvg4A4U8f3ruDO/093J8ZIijw4Psamji7x5+CoB/9uF7tCRTlAKfgUKenQ1N/O5j1XT5vz11jJ7pKQq+T3MixRc2b+XF7o1cGB/nP5w9zcnREf7/7P13lFzpld2J/q6JG95HRkZ6D2QmvEd5b1g0RTbZTbbUbLVaetMyoxnNzHoa89aMZkZv9DRLa95IamnpybXUUqsNu5tskkVTxWJ5FKoK3mUCmUjvM7yPuPb9EYksJNICSKBQJPZaNMi4ce8X97vmO+fss3dZ1wk5nTzX3slXd/aTrVT4wfAgH83UuOPNPh+vdO/kWGMzc4U8f3j5IlcSC4ScLtLlMo+3tN2b+TEtdN3A0I1af5Qkothrl9D9yNJtBkEQ8PicfOvbj/LSF/dy+pMxPnj3Kv/x995j154W/vrfeJZg6N4ozj3oME0LXdPRdRNBqM3dDRGWG3MniyJ2m7wuDbijIcRXHtuFQ7Hxw5MDJLNFAl4nj+/p4KUjvfS11pgI5arGn7x9np+fHSadLy8/2Acm5nHZFfrb6/lffvMF/B4nJwcm+P4HlxmcXFymXv7u9z5AEgXaYiH+ykuHeeZAN3UBD1883o9ik3jtw0G++/4lnHYbB3uaefWxXg7taP50nLEgp69NEXA7qA95kESR9oYg+VKVjlhomT68VbgcCr/y5F6yxQonr0zwo5ODNIR9S96u+3j3/AjCTc2VO1rqiAV9fDwwwZXxeew2mecO9fDC4R00RjZ+wWwG3TRQTR2wkAQJRZQfiHtvIxiGia4ZqKpOIV/FNK0lr9cq5ZKCJEsoioxsk3jp1YP823/2M95+/RKVskZjS4hKWWVxIYckChx/cgduj4PpySTj1xcRRIg1BbHbbUyNJ8imS3TvbMDrq9H2ate9ga4bVCoaum6gqQalkkqpWEWSROxLQiCPPtXLa392mvd/PoAg1qjD16/O8f7PB3j1m0dpaPrlTj48xPoYnF3k8uwCpmVhkyQ6wiH+8a9+gbZwYBX17mHh9SE+K9xQIzZNC3OpbePTnKJVY6IsJflNy8LQTSTl3if9e7sbGBia5+LgNK+/c4X5eI6Xn9nFnt4mPK7aO0ISV1eOb0ahUGFmLo261Fvf212P37s+fVsQoKUpRKzOx8DwHBPTKTTduCufdsO0uDQ9T6q4urXoZvhdDr6wdyffOr6XrvrwhtveDJskIYkihvmp9oZFLTDdiq+23SbTXhekvS7Ii3t6+Pj6JP/m3VMMzycp36QDouoGQ/MJ/v733uQffP1F9rfVnFW2stYI2V0829DNH14/y9XMIjv8dXhsdrJqmcHMIiPZBL/WtR+nfPcJvAcqgE2XywzEF7HLMv/0xVeoGAb/5U9/iG6apCtlzi/M4bYp/N8vvkK2UuF/f+9tBpNxCqpKi89PdzBEqlJGEgR+58BhriWTuGw2Li3OczDWwEtdTzKeyfB750+zN1oPCMwV8xxtbOHVnb0MxOP80cBFxjMZ2vwBTs1NsyMc4fmOLupcbiRRQBQE2vwB/uaho8RLRfoidfxq324kUUTg07y+LIp8bWc/bf4AsijgkGUs4HcOHEUQwLTg9y+d43J8gRc7u9kdraczGOJ6OsnvHDzCoVgjNkmiouuMZFKcnJni7z/xLB5F4fcvnGMwsUjY6WI6l2U0k+KfvPBFZEnk//jg3RWKYNuJZDzPWz+5yLtvXEJTDfr3NvPX/+5LS7S+e3LIO4Y/4OapZ/o4cryT1390kTOfjHL+7DjPPL/rsx7aZ4LFuQw//u5pPv5gGFEUOHisk9/8G8+g3FSNPNDTxK722IaGXfVBL998Zj9fe2I35hJNziZLy6rAUAv4/torR/n2i4dW9IzCUqVNFGu9N8DT+7t4dFcb+hp9g5Io4rhJ6dTtVHjlWD/PH9xR60UUag/0W2nLLx3p5an93SiytPz9A91NfP//+Ku1AH2L6qnLYwZcdhu//YWjfPvFw1hW7XfLkogoCnzxkb7l33Nj3Ad6Gvkvvnwc3aglDBRZuu3jroX345f5j2NvUjZVjof7+GudL+G1PQgiIevj+tU5fvhnpzn78QhqVadQqPCd/3iC73/nE+qiPp58fhff/K3HEUWBPQfa+O2/9Rzv/XyAP/4P71PIVbA7bTS1hHjhS/uXX6CiKDI1keDj94fIZUtYJvhDbvYf6eDJ5/uJLQWbyXiOH333DG//9CLlskYxX0UQBU59OIzH56B/bwv/z//1awAcebQbSRJ5980r/LvffRO1qhGu8/Glbxzh2Zf3EI54P7Nz+BAPNuayeeYyeQB8DjtfO9hPzOdBfuhV/hAPEDLZEgNDcwwMzzM9myKZrikSq1UdVdMpV1brN9wPHDvYQbFUpVxRGRpZ4JOzY5y/PEld2MvBPa08eqSL3u7YhgFpuaqRzn4aOEZCXuz2jd+5fp8Tj8eOaVqUqxrZXPmO+2BNy2IqlSFVKKEZ6ysPO2SZbx3fy9cO7ybmv71j2SRxDfcNi6qm33ZLgkux8diOdrrqI/yzN07w4fAEufKnLgmmZRHPFfm/fvIe/+3LT3C0q3mVXedaiDjd/FbvEepdXt6cHuK1yQEquo7LZqPbF+Hv7H6CV1p7ccl3zxR9oALYTLWCblnUuz01ISNDp8nrwy5JJEolJrMZBuKLLBYL6KZJxdApqiq6aRJyOPDa7ZhYSIKI3+6gYujM5LLYZRv1bg8+u4OQ00nM42Usk6bJ66fO5abe7SZgd+CzK7hkmeISVfdX+3ZzYWGeP7x8kTqXiyfb2umPRJEEAZfNhiyKOGQZ7029pjcW7G3+ADGPZ7kP1bQsiprKnw5epqCqiILA6bkZuoIhsCxkUcSjKEhibd839pkoFZnIZBhJpfgXpz7CJkksFArsjtaTKpfIVas0eLwEHDW+eYPbg+ce+bReOT/JqRPDTIzGsUyLcknlyOkxDh7reiAEkvL5MtevzVOp6jQ0BHC5FTLpEvHFHIZh4vH+YvRb3QnOfjzC2Y9HmR6Pw1Kq5cCxLvYd7lj2e7PJ0qbZR0kUcdrFDWm4oiDgcihspdtzo4rvWvt1KPKKoHbNfSqrg1SbLBH03ln/6Y2gybVO5daxBhVQlqRbhKC2B6qpk9NLlHSVklG9I1XY+42Wjgi//lcf58vfOLwqoWGzSfiWFH9rNDeJ/n0tNLWFKRWq6IaBKIrY7TKBkHu5WtrYHOSVrx3iief6lxkhNpuEx+fEH3QttwoEgm6+8NWDPPpUL+YtPTeSJOK86bllU2R2H2ijpSNCqVDzR7QpMv6AG1/Auew7ffBoJ5099Xh8KxdTuw+00toZue/+iQ/x2aNQrVKo1hZ/iiyxoz6CbUm9+VY8aMneh/jFxo2q60/evsJ7Hw0zM5emWFLRNB1BFPC47DgcNpxOBUVRa2r5+v0NYp0OG08c66G1KcT5K9N8eHqEq9fnmZ5Lk86WOH1+nLaWMMcPdvLE8W6C/tVMOsMwqd4kUKQoMuImCSTlpjWPYZiUyiqWdWf3qGGatUrmJurqXzzQy9N9ndT7PLdt3WOTJCThlu9YUNFvP4AVBAFFlmgK+vjbzz+C12Hn51eur6gem5bF2GKa73xyEYdN5nBn8wZ7rEEURAKKky+09nK8vo2KrmFaFqIo4JJsBOwu3NsQvMIDFsDaZRkLi4JarXUpWZCvVjFMqxbUKXY6giFe7OxGEARM06I9ECBRLiGKIrIoIgnisnKXZVl47Q7mi0WKS1L22lI112+vBXwOSUaRpCUvTAFJEJcVSXvDEQJ2B4vFIoPJOH9xbYD+SI0mKQCGZWEs0TBufVG5bDK2my7Oiq5zLZlgKJXkhY4uvHY7E9kMpllbgt74trZE77ixT5sk4Xc48Cp2nmnvxK0oWJZF2OnCYbORLJfJVCo1KoggUNRUXPeot6ZUqFDIl5f9+4rFyvJC70GAaVikUkU+/GAIQ6+NSRQFbIrE8ce66e6JbbKHX1zkc2WKhcqS7xsUC1XKxepDPttD3HO4XHZcrVsP5l1u+6YJMbvDRjTmJxrbmJJtU2TqGwLUNwS2dGy3x76sdLwefAHXctB9M7w+5zJ1+SF+uaDqBuqSpZYk1sSbbkf45CEe4l6hVFb54OPr/OD1C4xPJQkGXBza20pvd4xIyIPdbsMmi4iiyMDwHO+cuMbw2OJ9HaMgCPh9Tnq7Y9TX+djd28j0bJqr1+e5MjTL7HyWRLrI7EKWsakEv/7VIzVV4ZvW2KIoLtOfoRaQ3powvRWGaS33k96tMJ9hWkwk0qj6+gFsnc/NEzvb6awLrRjrVnGD9XUzLKjZDN7BWk4QBGRJoC0S4NWD/RQqKm9eub6igqwaBqfHZmiLBIl43bTXbdxKIyztN2R3EbLfW9HKByqADTocxNxeprJZ/uTKJRyyXFOqEiDkdNFfF0VMxJnO5Zaagk366upuChRXvzBafX6y1QrDqSS5K5coaip+u4Md4QiZSmXdTItlWZycniJZLmFaFulKecX+BUGgYamS+53By7T5/BxvvtngV1jRFycIIAkimWqZqVyWkNNV69lUVlo2tAUCnJyZZDqfpT8SpScUpjMQ5FBDI4ulIrZKGQvw2e20uPw0er0oksgfD1zCp9hJlcvUu+9eCnwtNLWFae2oY3Eug2VBR3c97d1RlG2gRm4HHA4bnV1RqlWNYqGKYZgodplo1EdHV/SB6X+dGk8wPZEAoLWjjqbWrfdA3Cnau6I0tYbJpIpIkkh7d5TWzrrlqtJDPMRDPMRD3D50w0QzzJusuISH1OGHeCBgWRbZfIUf/uwSI+NxvF4Hzzy6kyeP99DSGMR7k6o71IJdl+uzEwFVFJn6Oh91ES99PTF6e2Ls393CtZF5zl2eYmwiQb5QoT7i5dWX9+O8iRVlV2R8N7HssvnysvjfeiiWqlQqNXV1m03C67bfMUPCtCxm0rnlRNZaONzRRGc0hMt+Z+f4Rg/srbjTAPYGJFGkt7GOZ/o7mcvmOD8xt+LzbKnCh0MTtIUDNIV861rqQO08lHSV84lZ5st5SrqGaa0scgmCwNc79uCx3R1L7cGIPJbgtinsqotS0XXipSI+7Dzb3km7P0jQ4WRPtB4BGM9mlkiQFoZl0hEIIosiTtmGV1EQBZGw08meaIwWvx9FlrgSXyRRKuGUZZ5q66DR40UWRPZE62n01nqbgg4nhxsaCTudiEvVzEylAgLEPB52hiLLYxUEgUebWxlILJKplIk4l2hwwJGGJpq83hWTrIgS7f4ARxuaMS2Lsqaxqy5Kmz+wpLJWu2te6d7BWDpNplKhrGvYJIlGr48XO3u4tDhPcUktuaLr2CWZdn+Ap9s6GM9kwIL9sQa6gyHc98ByqKOnnqdf2k1dvQ/TtOjsidHeHd1U3e5+we6w0dEVpaNr+2yN7gUun5vgvZ9dwelWeO6VffclgN25q5lioUpLRwRZkujpb6S5LfLQWmibsas9Rmu0Qn3oYb/kQ9wesok8qYXsXe1Dcdho6qq/7e9VNJ2ZTJbzk7WFy56mGC0hPw6bTL5SZSaTYyFXoFhV0QwTWRLxOuzUed00+L0E78Dr0rQsSqrGXCbHYr5IvlJzE4DaQs3rUKjzuGkM+PEuqZFuBclCiZF4kqlUFlkSeWZn57KKZkXTSRSKzGbyZEplKpqORU14yW1XCLoc1Ps8RL2eVceraDrxfJG5bJ6qrlPRdKqaTlnTuDYfX7aFKFZV3hwcITozv6oKK4kiAZeDJ3rat0QfVHWdRKHEfLZAulSmrGpoplFb7yg2gi4nDX4vdV73hovKWzGTznF9MUmiUCTscfFIZyvKEuW5WFWZzxVYyOXJlauoes3H1i7LeJa8KmM+LwHXyuBnMpXh2nwCVdfpjobpjobJVapcnYuTLJQQBAi5XbSFA8v0Sd0wmUxlmEhmKFSryKJIxOumLRQg6ttaIt4wTeL5Igu5AqliudZWZpi1lhObTMhdO0dhjxvHHaxVcuUKC7kC87kCuXKldv2LIi67jTqvm6aAj4DLiSDwwFXdDcMkmysxMDSLpht0tkZ45FAnu3Y2rrl9vlChXNHW/Ox+QhQEnA6FHZ319HTUs6e3iYDPRamsspjI8+b7V3n5md047MpywOlyKtRHfNjkmnfs5EyKYkkl4F+7CmhZsJjIk8oUsSs2QkE37rto+zEti8VcYU09jxs43tVKyH3nLB2bJK5S77WWemA3qzZvBqdi42B7ExOJDFdn41RuoUKPLqY4MzbD4Y7mDauwBa3KyYUJfjBxBXXJRebWkYkIfKm17xcrgAXoCATpCKx9cjyKQtMa/qhR19oPus5gCICw07VM/b0ZDV4vDd5PfZ+afD6+7tu9/O+v7uzfcKzHmpo51rSSEy4IAr/av3vVtpIoEnQ6+esHDm+4zxc6uqFj5d9cNtuax4JaZfpLPb0b7nO74PO7ePTpPh59uu++HO8XEWpV5/q1Oa5cmKSxJUQht7Fa3XYhEHLz7Bf28uwXfnGtLB4EvHTk7n3kHuKXE9cvTvDhD8/e1T7CDUH+0t/78m1/r1Ct8vHoFP/gtbcB+DvPPsIX9+5EFkXOT89xYniCS9MLxPMFypqO3SbT4PfS3xjlaEcLh1obly0cthJoVjSdxVyBwflFPh6bZmB2gdlMnnylimWB224j5vPQ11Db/+6mepoCvuUgayNMpTL8yalL/PjSNVyKjR31EbrqwhSqVYYWEpwZn+HM5CxjiTTZUhnTsnArCnVeN93RME/u6OBLe3tXVWIypTIfjkzw+uVhsuUKmXKFXLlCSdVWVD/SpTL//O2Ta47NLkv0N0Q53tmybgB7Y1fJQpHRRIrzU3Ocm5xjNJ4iXSxT0lScNhtBt5OOSJADrY0cbmuiMxIi5NkaZe/K7AL/8eQ5zkzMsL+lgb6GOqJeDwu5ApdnFvhkbIqLM/NMp3K13l4LvA47Mb+H3oY6vrinlyMdzSs4bxem5vjX750iUSjy7UcOEHK7+HBkgj89fYmh+QSiKNAVDfNifw/P9nYR9bmZSmX587OXee/aOPO5PA6bTF9DHS/09/Bifw/BDRb7sYZZHAABAABJREFUpmVRqKiMJ9OcHp/m/FTtHMXzRcqahixJBJwOOuuCHGxt4kBrI93RMBGPa0vXqGVZzGXzXJye45OxaS5OzzOdzlFSVeyyTJ3XTV9DlEc6WznY1ohumigPmDe0YVqUyxraUlWwLuxdt8JaKqtMTCdJpTe2gNlumEsUXkFY+9khCNBQ72dvfzNXr88zO59hPp5bYSUDtT7ahno/jbEAk9NJrlyd5ZFDnUQj3jV1CbK5EqOTCeKJPMGAix2d0buyWbQsi3SxvK6/qU0S6a4P477D6ivUtDVW9fVad1+BvYF6v4c9LTHaIkGuzcVXfKYaNWXi02PTGwaw8UqRPxo5R1nXeDzWQdSxutdXABzSL5gK8UM8xC864gtZEos5qg9AlvMhHiyYloVmalQMDc0yMC0TAQFZlLCLNuzLD/yNF183PK1VU0MzdTTLwLA+7QcSBWHZgscu2pAEcc2FQ0ErUzFrohZOScEtOzZc+FlWjRGTVgtYWNglGy7Jjk1c/ZqxLAvV1JfGuDQ+Vo5PXhqjTVxp5v6Liunhed7/3qmVfxSgWlLRVB1RElHsNiR5SeMBC1M3Uas6pmmi2G30Hu6EOwhgb8V8tsDIYopLM/N879wA8XwRmyQiCrUerLKqMbyQYGghwftD4zzf18V/+eyjBN2rzetvhaobXF9M8v3zg7x2cZBMqYJAreoqigKiAIWKytVSgoG5OK9dvMpLu3fwW48cpDMawr4FJcwbuLGozHkrvDs0zndOXeTS9PySGnqtzcewLNKlMqlSmflcHp/TwVf2r07SllSNyVSGy7MLy38TBAG3XaGq6ahLfWOCUEs619gtK8+FXZaW6IMbnSOLXKXKTy4P8d2zVxhaSNT8OEUBmyihSDK6YTKbyTOVyvLh9Um6omF+/ehevrhnJy67cluVQM0wSRXLuBSF7529wp+ducxsJrd8jmBJkbRQJF6oVTr7G6Ic62xZc3+5cpWFbIEzEzP8i7c/Ip4rYmGhqgZnJ2aJ54tUdZ3n+7r5zx+d58/PXkFa8oksa2VOXJ9kPlvAabOtOQ9QC3oKVZWTo5P82/dPMbyQoKobSGLteSmLEpZlLVfMP7w+SW+sjq8d3MVX9vXhd20u6JgpVfjO6Uu8dvEqM+kcUOtvtkkShmkym8kxkcxwcmSS5/q6ON7Zcs/0R+4UkijgcNiQJBHDMEmlC+TyFTTdWO7BNEwLVdW5fHWWS4MzJNOF+zrGqqpRLKkIgoDDLiPLEpJUc/ywrKX3omaQzZUpFKuIQs3FQBSFFUkmQRAIBd088+gO/ugvTnFlaJbzl6cIB93U19Uqswg1rZSqqnPi1AiDw3NUVJ1djUGO7Gu/q99hWZCrVJcD8pshCgIBp4Ooz7MlJd/1sJYKsQWUNW3N494uREGgLRzgiZ3tqwJYqDE3Lk7O89XDu9ZtkyjpKqO5JH//0Iscj7bhtt07SvrDAPYhHuI+Yuz6Apnk/c1wPsTnAxVD5Ux6mLcWLjCQmySjFnFINjrdMZ6K7uV4eOdScLdxMGcBZaPKmdQwZ9MjDOVnmK+kKOoVBAS8spNGV5hDoR6eje4l5gghC6sz1H8w8TZvLZynYqh8pek4v9350obLbt0ymCkl+K/P/SvyWoln6/fzteZH2eVf7UutmjoXMiOcSAxyJTvBQiVD2ahiEyW8sosGZ4gd3ib2BzrZ7W/HrzwY/ev3Eoee3UWofqUolSiJfPAXpxk8NUKo3s/+p/uJtUdwuuxoqkF8JsXF96+SWshw6Lk9fPO/++K2jGUilebfn0gxkcyQKZep87rpbagj7HZR1nSGFxLMpLOUNZ1kscSPL1+jrOv8j194isAmdOJr83F+78QZ3hy4jm6aSzZVCrsa66n3eRAEmMvkGY2nSBZLVHWDH14YJF0s87efOc6+loYt/w6LWkX0h+ev8v3zAwwt1CqBPqeD5oAPu00mWSixmC9QUjVifi871vFlDLmdPNHTTsS9usr53vA4ZyZm0AwTn8PB1w72E3G7VgWSsigS9ro27JE1LYt/894pfnjhKov5WjBhlyXqfV56YxE8Djv5apXrC0nmMvmaQOR8nH/65odkShV+/ehefM6tK+7rhsF0OsfbV0f5g4/Oky6VsUkiYY+LqNeDKAgkC0UW8kVU3aArGqYxsJoJd/P4z0/NMZ/NU6yqPLWjA9UwODM5Q65cZSqV5f3hcXTD5LvnrhBwOdjf0kCyUGI0kSJTqjCTyfH98wPrBrD5apV3r43xD3/8DrlKFWvJf7cx4KU7GsbvdFDRNK7OJ5hJ56jqOoPzcXIfniVdKvNfPffopufl37x/ih9dvMpivrg8BzFfjXXgsMmkimWGFhLE80V+enmIc5OzuDZQ5/8sIEkiAb+TtqYwEzNJzl6eoqkhiM/roKM1AhYsJnOc+GSE7/3kPLl8GcUmr1DzvdeYW8jyH75zkly+zIHdrezsqqepIYDX40DXDdLZMleuzfLOiWucvzyF261w9GDHmo4J4aCbV57fw4enRxmbSvDH3z/N5GyKZx/rpaczis0mkUwWef+TYV5/+woLiRxNDUGO7G9fl1a9VVhWzYpnrUqoJAoEPa67btmySfKazI1SVcWwtkdMtc7nZk/L2oKn+UqVyVSG+Uye5tDaAoqmVfMYjjjc91wL4GEA+xAPcR8xfn2BTOr+Zjgf4sHHYiXDd6be50T8Cim1gGpqGJZJ1VC5rE8wWpjncnYcj+zAISnktbWp55ZlMV5c4J9c+x4z5QRlQ0U1dXTTwMRCACqmRkYrMlqY46PEIN9sfYrj4d6bKrw1HA3t4EJ6hIHcFGPFBcaK83R51g8eCnqFD5ODlPUqhmWxw9tEszOyartkNccfTLzFqeQQKTVP1dDQlyqwmqlTMTTSaoHh/CyDuUlebjjMlxqP3dX53QimZXFlZJ4LwzMMTS6ymCpQLKsYhonTbsPvddLVHGb/jmb62usJrdNTdbeob6sj3LCSmvXB98+Qms/w2FcO8cJfepxQvQ/JJiOKNZV9Qzd44quHeftPP2Lg4+uce3uAJ7925K7HcnF6HsuC9kiAXz+2jxf6u/E6FCRBxMSiqhl8NDrJ988PcGZilkJV5e2rozzZ087jPe341wmgkoUSf3LqIidHJtFNk4jHxfN93fzqkT0EnI7lPk7dNJlJZ3lj4Dp//MlFNMPg9Pg0r18ZxmNX6IpuTTdAN0zeuTbGpZl58pUqL+7q4aVdO+iNRbDbZARBwDBNilWN4cUEumHS37C2hoLXYWdfcwN9a3y+kC9wfmoOzTBx2xWe7+2mPRJcpTQqUGsnWu3lWEOhqvLW1RF+enmIZKGIKAgcam/ia/v7OdTehEOWEQUB07Ko6DoXpub4wflBToxMkC1X+P0Pz9Ic9PN4d9uWqowAqVKZn14e4uToBKIg8JeP7efpnR20hPzL82GYJvmqyqXpeQIuJ111G5//8UQKr0Phf/vK8+xtjmEBf37mMt8/P1irYs8sMJPO0hMN8798+TmiXje6afLHn1zkL84NkCqWmMvmmUpmaAj4VpzHsqZxZXaBf/7WySXKucXB1ka+sr+PI+3NuO0KkiBgYqHqBqfGp/nOqUtcmp5nPlfg54Mj9DXU8fTOzjX7hiuazrnJWd66OkKyUAJgZ6yOV/f18VxfF46l68a0TLKlKm9dHeHHl64xnkxvuU/7fqGm7uviN3/tOP/s371FOlPijXcHOHFqBLsiIwigagblcq1X9Dd/9RGuXJvl7Q+vrbvPhXiOMxcnOXNpgkpFo1LVqFR15hezpDMlTNPk7RPXGB5dxGG3YXfIOOw2utoiHD3QwY7O1T36xVKVy1dnuT62iKLIS1TZJZbJUsW0VFZxOhX27WrhW185jNOxOlkgCgLhoIe/97de5F/9wfsMDM3y4ekRLlyZxmartR8Yhkm5rFIsqbQ2h/nyC3t44cn+u547C9AMY81eVEEQ8G6DMrldltYMCjXDpKzq6Ev6BHd1DFuNHl/v97CQXb1WzZerDM8n1g1gvTY7+8ONnFwYp9ntxy7duzDzYQD7EA9xH2BZFppqMH59kUy69FkP5yEeENyg3f5g5iNOxK+wUMnQ4AxxLLSTLm8DiiiTqhY4n6lVUiuGSlGvbrhPmygRUDxMleL0+9vocseodwRxyQ50U2ehkubj5DWuF+YYys/wfvwyYcXL7kD7iv3s8DXR6o4yVlxguhTnQnp0kwC2zIeJQTTLoM0VpcVVh8e2uhr307kzfJIcIl7N0uWJcSjYQ8wZwi7KlPQqWa3IZCnO9cIsXtlFm+v2RYm2Ak03mF7M8r23LzIwNk8yUyRfqlJRNfQlCwZJFFFsEtcmFjl5cZwdrVGePtTNsT1tW/Yv3ipsioztFkX3gY+vozgVdhxop7knhrxGL5fL56JzdyvD5yY4/bOL2xLAVjSdmM/DC33dfPVAP1Gve0Xm37Isnu3twrIs8hWVoYUEhUqVH128xs5Y3boB7M8Gh7kwPU+uXCHicfNsbye/+ehBWoL+GqX3pgVe0OXEYZMpVqr88OI1yprOu0Nj9MYitEeCWxJBMkyTD0cmsCyLrx/czYu7emgLB/A67CuOZZgmMb8HwzRxriOAKIkiTkXEyerP7bK8zE4QBQGPXcHntN+WsJJhmiQKRf7TyXMs5gsYlsUjXa18/eAuHu1qWyWaZFkWPocdhywjiQLvDo2TLpX5k1MXaY8E8DntW1qUZ0plPh6bwrLgbz/7CEc7mmkIeHHabMvft5YsA+u9nppX/SZUWadioyMS4lhnC15HTajlmd5OzkzMMJnKLAnECLy8ewc76iPYZQkL2N1Uz/mpOZLFEmVNZzKVIerzrFiUTyYz/OTSELOZHKZl0dcQ5VtH9y6fo1uvC7eioOoGpmnV+nrTWf78zBWOdbQgO1a3TxSrKt89e5l4vohhWbSGAry8u4dX9u4k6nWv2D7sceNxKMiSyO9/eJZE4cF7tzvsMof3tvE3f/NJTpwaYWh0gWS6iGGYuBwK4ZCHA7tbePxoN73dMXL5Mq41gsMbyBcqDI8ucPL0KKZpYhgWhmliLFlAAmRyJQrFao0KLIpIkkCpVKWzrW5VAFsX9vLsY7143Q4mZ1Ik0wVy+TKqZiCKAg67QjjoZk9fE3v6mji4p5X6Ov+a1UxBELDJIh1tEf6L33iC0xcnuHBlmvHJBKkbv9mp0BgLsLu3kQO7W+nriRHwbU9S0jDXdmYXqHmu3m16w26T1g1Q85UqqmHcdQB74/nVHQ0TzxVXVZQLVZWxeJpn1vm+x6bQG4jy2uQg08Ucnb4QfptjReAtIPB8cw+uu/SDvecBrGVZYMHsdIrpiSTzs2my6SLVilazOVFseLwO6mI+WjvqiDUFcXs2zxzqmsH4yAIf/HyQYqEC1Pz5+va2cPiR7i2P7/TJ6wxenCKXqT143B4Hjz/XT1tXdFND+mpFI76YZW4qTXwhSyZVpFSsomlG7UaySTjdCoGgm7qYn9aOOurqfZuaK2dSRU6+d5XRa/NEY36OPNZDW1eUQq7MhTPjTI7GKZdUXG6F5vYIu/e3EQi5l71v56bTXBuYYWqstp3DpdDcGmbPwXZCEc+mXlfj1xc4ffI6C7OZDbdzOBW+9peO4w+6b7v5vVJW+d4ffUQmVcQ0TI481sP+o50oioyuGyTjecaGF5ibTpHLlqlWNCzLwu6w4fM7iTYE6OltJBTxrFr0bfX4C3MZ5qbTJBZzZNNFSsWaubckicg2CbfHTiDopr4xSEt7hEh0fdrUzdA1g3SqQGIxTzpZ+PQ/qQJXL08v978mF3O89ZOLXL86t+H+BEHgW7/9BIGQZ1MKytXL05w/NUZyMbfhdqGIly994wgerwNhG5SINU0nFc8zMRZnfjpNJlOiWlYxTQubIuP1OYhEfTS3RZbvra1mPK9enubDtwcpl1QEUeDX/srjBMMeJEmkWKgwN51mYnSRxbks5VIVVdWRJAmXx04o7KGpLUxndz2eB9Cj08Tian6K06lhFioZ2t1Rnq3fz+ORXdQ5/EiCSFGvstPXzBvzZziZGKSol3FKa6v3CYJAUPHylcbjPBruI+oIUOfw45VdKKKMaZnk9BI7vM383tgbTBbjDOYma1TdWwJYj+xkl7+N4fwss+Ukl7PjvNRwCLe8+vlcNlSmSwlG8nMYlsneYAcxR3BNuvOZ9BCLN35rdD+P1fXjs7mQBQnV1CkbVdJqgcVKBpdsp8O9/QGsphsMT8b505+f5+TFcTL58prUL90w0Q2TUkUjni4wn8yTzBUpVlRePL7zto3obxdz44u4vE58Ee+awSvUaIIunxNJFpkZWVhzmzvBnqYYRztaaPCvVtQWBIGwx8WRjmbGkxmGFhJYwLmpWWbSWZqD/hWKr5ZlUVJV3rs2zmwmhwV0R0O8vHsHHZG1BUEcNpmuujBf3tfHW9dGyZYMplNZrs0nONZZpN63udK3BaSKZV7evYNn+7robahbM6iURHHdoPt+IV+pcmFqjmvzcTTDxO+083h3G8c7W9cUMxIEgYDLyeH2ZjLlynIl/PLMApdnFmjwewmtQXe+FZphUtF0vnqgn6d2diwrBN96LHlpzreCoMtFeyS4HLwCtIWDhD0uJFHAMC28DjtHO5pRpNq7QADqvG7qvLVjGIZJvFBacV+qus5oIsWHIxPLtkUv7ermcHvzumMLup083t3G8EKSK3MLlDWdgdlFRuIp+hqiK65TzTBYyBf4aHRqWYV1f2sDj3W1Ub+GKrIsijT4vRxpb+byzAKvXxne0vm5n5BEEZ/XwWNHumlqCLKYyFEsLb2bZQmP205D1E9LUwiHXeaJ4z3Eon4Cfuea67pwyMPjx7ppbtzYD/RWREIe2ppCq/7udtk5drCD9pYw6UyRQqlKVdUxDGvZ3sbtshMJuolF/URCqxXCb4YgCCg2mZ1d9QT9LnbtaCCZKlJaWo8oioTf56Kx3k99nQ+Xc/t6NNersFpYS4rndwenzbZuUixTLFPV9G3pw1ZsMg0BX63H+JZBl1WN+Wx+3e+WdI2r2Tg5tcLZxDRj+RROSV5xbkQEHou1P9gBrK4ZJBN5Bi5McfXyNJNjcRZmM+QyJSoVDdMwURQZt9dBpN5Ha3sd3X0N9O1ppnOdbPPNEASBocEZBi5MUS6p+PxO5mfSxBoDNLetpq7diqmJBG//9CKfvD9ELlvG6VLYta+VJ57vXzdTYpomqUSBiZFFJscTzEwmakHQQo5Mukj5RgAr1kyRXW4Ff8BNpN5HW2eUvj3N7D7Qhi/gWjfoK+QrnD5xnQ/eGqCjp55gxEM46uPNH1/k5LtXmRhZXApg7bS0h5mdSvPyqwfw+JyMjyxw8p2rnP7wOlMTCSplDYfTRlNLmNnpFE8+v4uWtsiG/p/zcxne//kAVy9Nb3j+fAEXL3xpP16/i9tINAOgqQZv//QSMxNJdN1Acdjo7m1AkkWuXprh/KlRxq8vMDedJp+7EcDWrHK8PgfRhgDdOxvYc7CNnbubCddtvpjRtVpgPD6ywNREopZQmUmTXMyTzRQpl1Q01VgOYF1uO4GQi2gsQHt3lL49Leze34rLY98wCZFJF/n4/SEunZ0gkyqQThXJJAvkc+UVjfa5bJnzp8Y4f2psw3GLosAXv3EEf9DNZgI+U+MJ3n3jEqNDGy9k2zqjPPfKXtxe+wq/4ttFLWGSYmhglqGBWcZHFliYzZDNlKiUNSzTxKbIeLwOwlEfLW0RdvQ30re3hZb2CI4tvDymxhP89PvnyKZrHraPP9uP22NncT7HlfMTDFyYYnIszuJ8LYDVVANJFnG57ATDbhpbw+zsb2L/kQ46d8TuKOFxr2BaJh8nr7FQSSMKAnsCHTxTv48m56cUPYekEFI8lI0qi5UMn6SGNtynW7KzL9hZE2ditbKjW3YQtQf4JHWNZDVHvJolqeaxLGvVtrv97ZxPjzJWnGeyFGc4P8v+YOeqY2bUAgPZSYpGBZsosy/QQdi+dsInr1XQLQOP7KLJGabxlt/qs7modwTZ6auprt/N9bkeZuJZ3jo9zFunhilXty6olitWOH9tBgFoqQ+wu2vr/Zh3AkEUKGSKFLMlTMNc87mt6wb5VIFMPLetFMbehjra1wkub6DB72Vvcwy3YqOoamRKFSaTWfobqysCA8O0GE9mGE+mKakaTptMV12I3U0bJyccNpmdsTrqfR6KVRXVMJhMZZlKZbcUwEJNHOrZ3k4660K3VRG930iXyst9tACdkRA7Y3WbBqEBl4O+hig99RHOTc5S1jQuzyywr7lhSwGsIEDA6eBrB/qJeFzbkpTxOuzUeVb2rbsUGx67fUkEScepyLSFgyuEeJyKbbkCblo1oaabA9hMqcJ4Is1cJo8A+JyOWvC6ye+M+b21qrTDQbpUplCtcml6nvZwcMV1WlY1JhLp5UqqXZbpi0XXTbJA7fnaGPBxsLXxgQxgYYnC6nGwp7cJaNpw297uGL3da/dAAgT9Lg7tbePQ3tXaBncCURSIhDxEQluzTdoqBEGgvs5Hfd3WCg93fTzAJkvLFP+bUVPMXlvg6XbgdijrKl0n8iXKqrahcvdWIYsiPpcdWB3BqrpOIr8+08Ap2dgdjLE7uP41JAgCyhrijrc9zrvewzqoVjRmppKcfOcqb/3kIvOzGfRbTIUFAcpllXJZJbGY4+qlac5+PMKhR7p47pW99O1tXbdSI9skunY28PwX91PIVRgZmieXLXPp7AQNLZf5lb/0CE6nsmZ1yTItymWVd9+4zKWzE+SyZWSbRGtHHc9/aT9dO9dflOi6ycDFKV7//jmuXp6ikKus2kYQwNQtDN2kWtFIJ4uMjyxy9qMRznXX86VvHObYEzsJ13k3XXCUSyqTY3HcHiff+8OTJBZyGEsvuGpFI5MqMjuVpr7BT++eZt756WXeeeMSi3Of+gkWNINrV2aYn03j8Tjw+V0Ew+s/LFxuOw1NQQq5MrpuousGhm5QrehUqxqGvj3N4jcjlykxMRonnSzwk784w8XT42tupxcMioUK87MZLp2dYGhglpdePcDRx3sIbPIArJRVLp4Z56ffP8v1a3NUSuqqbQShtiDUdYNKWSWVyDM6tMDZj0fo3DHGV795jEOPdOP1O9edu1ymxJXzk5w6sfJl5nApVJYyn1B7cNtsEvImVERRFLbc/O/xOWhoDqFWdXTNWJ6/akWjWtUwjbtXqoMlpVvLYnI0zgdvDfLhO4OMj8Qx1jDx1nWVckklvpDj2pUZPnr/Go8+3cvTL+6hp7+xVgXe4sLbsiwW5jIIosDpD4f54OcDTE8klz8XhJoaoGHU1Fkz6SJj1xc59/EoE6OLfPXXj9PWGcW+AUXqfuGGj/WlzDhFvUJI8dLlaaDRuTpLLQgCPd4merxNmwawgiBgW0OU6ebPRQQ63DE+kYbIaEWqhoaJxa0kpxZXhC5PjLPp6ySreU4mBtkX6FjeD9TmZLGS4Vx6BBGBJmeYDncMj7z2i7TBGWK6lGC+kuJKbpKoI0jU4ce7RDe+EbDei8AVQNV0Bkbnefv07QWvN1CualybiPPGR9foa69fUsO8N2Nt6Wng/LsDXHz/KqF6P5HGEA6XHVEW0TWdakklPp3iwvtXycRz7H18eyzVbJJIzO8huEkfpcNW88Ks93kZTaQAmM5kyVWq1Hk/DWB002RgdpGSWjvfQbeLxoBvRYVuLQhCjXrXHPAxncqiGSbJQnFZWGczCEDE46KrLoxvk2N91shXVK7NJ5b/vTNWR53XvcrO51YIgoDf6WBPUz3nJmcBljxet0ZnVSSJer+HnfV16/bm3i4cNnnNuVVkCZskoeoGDnn1NrIoLlMgLaxl+5cbWMwXmExlsZa2bQ8HiHjcm9rXSKJIwOkk4nGRLpUxTIuReGrZd/gGSqrGWCK9/O+wx0m934Nnk2vH73TQGg4giSLGOjYqD/ELDkHAqSzR7m8JYC2zpix+t1Y3Xod9XS/jhWyeUnX1mvZOIIk1GvFaTwNVN8iU1rd/rHd5+Rv9j2zLODbDPQlgdc1gZjLJT79/ltf+9BSGYSJJIl6/E5fbjn3JCkAUBTTNQK3qFPMVSqUqicUc77x+idnJFP/Ff/sSHT0xZHltmweAJ57fxexUkly2xNx0msX5LG/96AJ9u5vZfbANRZFX9Y1oms7AxSne+tEFFueyCALU1fs4+ngPTzy3sferaZgszGYYHZqjkKsg2yQcDhsOp4Jil5FtEjabhGlZGJpJtapRLFQo5mvZl9Gheb7z+yfweJ0ce2LHphWocrHKtcszjA4tYOgmjS0hRFmkmK+Qy5RQqzrZdJEffOcTEvE8pz4cplxSaWoNY7NJVKsayXh+absS5z4Zpa0rumEA29QS4rlX9rFrfyulYpVSoUqpWGVmKsnY9UVS8fXpA3eKxEKOE28NMjQww9DADA6ngtfnwO6wYVuaQ10zqFRUCrkypaKKZVlcPj8BgoXdaePxZ/s3pDJrmsHsdIrrV2eplDVsioTDoeBw1o5hs8nIioRpLAV95drclYoqalXn2uVp/lO2TCDsYde+FpR1FAddbjtdO2MrAn0LMAyDS2fGyWVrN7/TpdDcFiG2CRVHEAWcLmXThQxAR1c9L35pP4sLWUqFKsVibe6mxuOMDS8uU+XvFpYFi/NZvvuHJ/n4/SEyqWJNBt9pw+Nz4nAoNQq+8GkwWSpWKeYr5LNlXv/+OeLzOb7668fYe6gD5zredKuOC4wNLXDqxDBXzk+SSRXw+p24PQ7sS/efadRsAUrFKsVCZfnYP//xRRS7ja//xqM0tYbvWhHwrmGBYRnMllNUTZ2YM0RY8a0buIUUDxG7D2mD4HR515aFbpmUjSpVQ0OzdAzLxLRqtuKmZVIyqsvWNSZLNju3HNomysuBc03V+DoFvVyz1FnauGpqzFVSXMtPI4kSx8O9+BX3unSq4+FeZstJRgvz/Hj2FDPlBI9G+tnpbcYtO/DIDhRRvmfWOclsiaHJOFMLmTveRzpf4pMrE2QKZQJe56bWMXeKIy/sYXp4jhM/PMvk1Vn2PLaTaEsYxWGjlK8Qn0lx5eQQU0NzNHc3cPSlfdtyXK/DgVtRkLdQsXTYZGJ+z3IAGy8UVy2kDNNkLPFpwOCQJSqaztBNAdt6qOha7SpdOsdFVaVQ2bgP/AZEUaA1HFgW3nmQUVI1ptOfJp5jfg/eLXpGOm0yzcFPRVVmMzlyldXJ9bXgsNloCfoRhe1LxNgkac2FtijU7FFkUcRps616RojCysSVaa3sKUwXyyzmasIyggAeu53pdJaqtrlqbrJY+jTphkWyWFrl2VnVdeZzn65v6rxuPFuYA0WW8DrsuO0KufLWzvtD/GJBFGpsiPlMDuOWHIZpWeTLVTTDwLSsOxZz8jsd6waw0+ks+cr2BLCiIKx7HMO0lhORa6Fi6MwVN25hQ4AWtx9ZvDtGzLYHsJZlkYjn+eCtQX7wJ58s09LCdV4ee7afY0/uoKO7Hr/fhUWtKjY6vMD7b17mkw+GmZtJU63oDA3M8K//79f5H/7hNwiF1+e822wSX/jaYVLJIm++dp5qRWNxPsu/+92f8T//428SjQWQpJseiKZFKlng3//umyzOZ7EsC4dT4dDxbl75lcOb0pYVu8wzL+/hndcvUSxUiTUF2bWvld37W2jvidHYHMLusCEItUrcyNA8J94a5L03rywHD/Mzac58dJ3GlhA9fRtLd+eyZa6cn0SySXzztx7nuS/uw+d38eHbg/zwO58weGkaTTO4cmGSuek0pmnx/Cv7ePlrB2loDjF+fZF/8Y9/zPXBWQzdZHR4ntmpFAeOdq57TsN1PsJr0C7OnLzOd//w5D0JYAcuTjF4aYpyWcXlsrP7QCvPf3E/fXubl/sdc9ky1y5P87PXzvPJB8PLvaSDF6dpaApx4EgnvsD6VCKvz8kzX9jLGz84h2VBS3uE3Qfa6N/bTFtXPbHGwHJlLpMqcu3KDO/97Aoff3CNQq6CZcHMZJJPPhgiEvXR0r42TT3WFOQb335sxd8sy6JUrPL/+jt/QO7iFADRhgBf/PphXnr14HacwuVjx5pWB8QfvDXAn/2nE9sSwFqWhVrV+M7vn+Dku9dq+xTA7XWwc1cTL355P7v2txIM1eatkC8zMRrn4/eHeOeNy8SX7ruzH4+gOGQUu439hzu21ItrmRY/e+08pWIF07RobAlx5LEeHn+un86eepwuO4ZhMj+b5uP3h3jvjcsMDcwuV73ffO08h453UVfv2xJ9+V7CxKJoqFQMFQsLn+zELa+f6RcFEYek4Jbt62b5b3jAaqbOQjXD6dQQQ7kZZsoJ0mqBklFFNfQlD1Ydk82rBd3eJvp9LXySvMpiNcPZ9HWOhncu9+HOl9Ncy81QNTXckp1HIn1416m+Ajwf209GK6KZZ5gqxXl74SLvLl6izu7n0Ug/T0Z307lUwV3Po/ZuMD6XYnw2dVf7ME2LbKHCpetzHN/dhmS/N8H24Rf2UC5W+NHvvcPAx9e59OEQ1k00NEEQEGWRnv1tvPjtxzn+yv5tOa7TJm8peAWQRWlFhaqs6mi3XJ+WZZEuVTCWxj6aSPO7b53kd986edtjq+rGcn/iZhAQ8Dns97xX+W5hWRa6YaxYgHod9i17RtokaUUPb6Gqoq7BhlkLsijWKqHbeJuJorDhOReFjT9fD2VNp7CUHNEMkxMjE5wYmbjt/VgWFCvqqueobpgUb5oDj2LHvkl19wZkUcTzMID9pYUgCATdzqXreuW9Z1FLUC3mitT7vesGh5sh7HHhXiehMpHIkCtX1mwFul1Y1O6FtWBaq5kRN2M8n+K/OfmD1ftcWptYloVdkvl3T/0aUefd0ca3PYA1DJMzH13njR+cxbIsRFGgrTPK/+PvvkhPfyNOp4IkiyDUnpdOp8LOXU10dEfp7m3kR39+msGLU1SrOtevznHy7as8+cKupf6/tREMu3n2C3vIZ0u897MraJrB5FiC7/7nk3zjNx6l/qYKV2Ixx5//wUkmx+JoS5TmY0/s4LlX9hIIbe41KAgCobCHb/3VJ3B7a3RNn99ZM1+WxRUVQK/fyZ4DbbS0R+jubeCf/58/WqZRX786x9x0atMA1rJqIjgHj3fy8qsH8QfdiKLA0cd3kEkWGB6cRddNsCCdKvDyqwd59gt7aW6LIEkijS0hXv3mMf7FP/oRxUKF5GKBTLKAaZhIW3ww3w9UyioIUFfv5+VXD/DqN4+jOGqm1jcqZT6/kwPHuujubcTnf4f33rxCPlvGMExmp5JcOT/JI0+vT6GTZJFYQ4Df+tvPUd/gXxYMk20SkrRy7vxBFwePd9HWFaWtK8rv/8u3lumxgxenOPbEjnUD2F90lEsqZ05e58O3B8kvVZOj9X6e/cJeXv3WMdxex4p5c3ud7NzdRFtXlCOP9/D/+79+yvj1GqPg7EcjRGN+GpqDm1aibyCfK2FZcOBYJ1/6+hEOHOtEsduWqWeSJNLQFOKVXzlMc2uY7/3hR5z7ZBSoVeEvn5ugtbOOts617TLuFyzLQjU0bvSYyIK0aXVVEiRsgozB+pnWxUqG7818yJvz5ygZVXTTAKyl/lI3IcWLTZTJaSUWKhlUc2MabcDmotMTo9UdZaGc4Wfz59jj71gOYCdLcQZyEyiiTIs7Sqc7hl1cn6JtE2S+1vwIh4LdfJy8xvvxywznZ1isZPjx7Cf8fOEcO30tvBg7wLFQ77Z7wMbTBRbTd5+EuyEEdaivhXsp/3P8C/vZcaCD0ctTDJ0dZXE6TbVURXEoRJqC9Bxop2tPK5HbFFXZCDVa9Ba3FQSUm4JdVddXBQYWUFrHI/F2UfMZ3Pr2sihu+bd8VrAA3bTQjE8XhjZJ2jKlVxRXVkyqmr5iXxtBELhr5dJV46FWkVr/oNxRwKwZxpYD841gAfoa16JpWVRvngNZ2tR3+wZEQdhysPsQv3gQBYFYwLvUZ7/2O3UikaG7PnzHAWzI48TjUNboTIX5bJ6FXIGKpuO8SyEn0zQpqmuvMSzL2pAm77PZeaaha8XfVNMgWSkymk+SqVb4KzsO45Lvvo1r2wPY8esLDF6cIpWo0TwcLoW/9NefYkd/Ex7fGr1uQs32wWaTOPJoD4tzGSZGFikVq1QrGm+/fom9h9s3DGBFUaRrRwOPPdPH4nyWq5em0VSdd9+4TGdPjONP7iQY9pBOFTn78SjvvnEZdcmouX9fC48/20fnjtim6sBQC2AFSeDAsU5kWcKmyOvSVgVBQFREQhEvvbub2b2/jUtnxzEMk4W5mmrxVuB0Kxw81o3b61g+lttjJ9Ycor4xyMxkcul4sPtAK83tkWWlYadTYUd/I7Kt9j3TNCkUqhQKVfwbVCs/C/j8LvYf6eALXzuE17+26qKiiARCbr70jSNcOT9JIVfGsiCdKjI5Ft8wgBUEAZsiceyJHSh2GUWR153zG8eqq/fRt6eZ3l1NXLkwCcDMVIr8Gr3PvyzIZUu8/oNzS+e+lmA5+sQOXvjy/jWVkgUBRLGWjOje0cBf/VvP8U/+398nGS+gVnUGL0xxYecYsVe3tgC3LGhsCfHMS3vYf7RzTdVySRJwOhV6dzfz2LN9XDg9tlyFnRyLk0kVaVutRXRfIQgCNlHmxkrOwNzUjNyyTMwNtpkuJfjJ3Gl+OneajFpkh7eJ45Feer3NBBUPsigvL8g+iF/htdmPWahkNjymKIi0uOo4EOji+8WPOJ8ZZaGawWtzolsGk6VFxouLeGQHjyz5yW6mEumU7HR46onYfRwL72S6FOd8Zowz6WEWKmkuZcaYL6cZLyzyKy2PErGv7Tl3J8gXK+SLW6OgbgTDMFlI5Zc1Ce4FBEFAcSjUNYfwhTzsONiOVtUxDRNBFLHZZVweB3a3fVN1+duBbhhbFhyxrDUCrzXm/2YbiZDbSWsosKJPdquo87ppiwS2/oUHPHiFG/6wAjZJXBZx0g1zywG/aVkrAjtlHb/IBwl3Mi01D93a7xIFgdaQn7ZwYMuV6k/3I9AZCeFSVlazBEFYIfRlmFufAwu2JUHzEJ9PSIJAS9C/YT/25JKI3Z0KLdkkiaDbhc/pIHtLpd8wLa4vJJlJ5+iu35pP9nqo6gbzmcKanraiKKBswFSNONz8Rs+hFX+rebwbTOTTvDV7naFsfBV9/06w7QHs8MAs16/OYRgmdoeN7p0N7NrXgtuzuSeZP+CirTNKY0uI61fnlntGk/E8jc2hDdVDnS6FPQfbyKaLxOeyJBN5sukSb/zgHMGwh137Wxm6MsMbP6ipmQKEoz6eeWkPu/e33Tad0OPd+gUoSSIen4P27ihXLkxgGFAqVCiXVUzT3DRwtttttHdHVwTKoiguKbt6lwPYUNhLJLqSGinJIsGgG9tNGR+1qlEtq/CABbA36KBr0ZdvhigKNLdHiDUFmZ9NUylrlEsqqeTmVRVBEPD5t/67ZVnCH3TR3B5eDmCL+QrVSk2M6TPvo7zPqFY05qbTDF6cQl9aMLV3Rdm1r5VYU3DD8yEIAg6XQt+eZnYdaOP0h9cp5itMTya5enmax5/r35KFFsCBo521pJh34+09PifNbTULpMX5Wn9ZKlGgvIaA1/2GgIBTUlDE2sK+qFeoGOuPy7IsVFOnYqqIrH5mmJbJVCnOe/FLZNUSza4Iv9b6JLv8rYQUL3bx08DStEwuZsa2XF2odwTZG+jgjfmz5LUSF9Kj1Nn9pNU8E8VFKkaVqN3PI5G+DQWkboYi2gjbbQQVD82uCB2eBh6J9HIpO84Hi1eYKSf5KDlIvSPAq83bJwpRVXWqG/TwbBWmZZEvVtd8yW83JFnC5XPiuk9WUKU1aMDrQTcNCtVPEwJOxbaKfiwKAt6bqLx1HjdP7+zkka7W2x6bXZY2VZ39vKEWOIl47HbSSwIpt0MD1g1zRc+r276+WunnGXZZwrm0DpRFke5ohK8f2rUlteWbIVA7Rz7nypaNmtfvp2ulkqqhbrGSbZgmZXVr1PaHuDOYhsnCVJI//Wevo1ZrzhSPfGEfex/bge8WEU+1qvGT//g+I5emavoxnVGe/7Vj1LfeG+acKIq01wU3vO+GF5IU70JoSRAEoj43Ya9rVQALcHFqniOdzXcdwJZVjdHFFOYaxj+SKK5K/NwMRZJpdK+9hvcrDjJqhX9x5QR/q//u75VtDWB1zWBqyesVwOG0sXNXE26vY0PblhsQRAF/0EU05l/2xiyXVOLzWcpldVP7i2DYy6Hj3czPZPjBn36CrhkMD87ywc8HWJjNcP3qHMMDMwDYFImnX9rNweNdGwoabRckWcJ3k3KtaVrouolpWGyWKJVliUjUtyo4sCkybvenC/hwnReHU1mxnSAINWEpRUYUBUyzpo6saXdPw9lOCALEGoP07WnZwrYCiiLXfq9DoVLW0FSdUuHuqyprwWaTVwRKhmHW5s40Ee+yCf3zhmKhwsTIIoX8pw/Prp0xWjvqtlQBEkUBp8vOgaOdXLs8QzFfoVxSWZjNMD+T3lAB/AYEUaB/Xwt1sc2rcpIk4nLbCdV5lgPYUrGK9gAsNARqIkkRu5+MVmSxkiWt5rGw1hRyKhpVclqJqqnhFFf3yqqmTqKaY6acRBZFdvna2BfoIOoIrHn8eDWLamztPLgkO62uKL2+Fs6mr/Nx8iqHQt2MFOYYLy7glOy0uaO0u+tvW3xJFETcsoMOTz0dnnra3FFM0+TtxYvMllNcyIzylebjwPYoE9coqHcfdN6gUt3r8NWyLLKJPPMTCZJzaUzDomVHA03d9dgUGdMwa1VZ00Rx2LalNaSkahSrKpphbGo9U9GNFarAIbdzFYVNFASagz5sS+sA07IIuBzsbV7fauGXDU6bjcaAbzmAXcwXlvs9N0NF05jN3iw+5NmS+NDnDT6nYzl5YVELGnuiYZqC28PQsMsSkZvsf1LF0oaCNTdgmDUv3fwWhbMe4g4hgM1uo74tQi5Z4J3vnqK+NcyOA+34bhHvFwSBYNRPOJZn4JMR5sbjHHtx9z0LYCVRoCsa3pC+OzSXIF0sY5jmHfflx/xe6n0eRhdX6ziMxVMMzCyyv7WROt+dtd5UVI35TJ6JZOZWMWWgljjaKIDdCJIg4pBk4pXCso/z3WBbA9hcrkwqkadcrD10Dd0kGc/z9k8vbZneNDeTIn0LtTadKlIpa/g2eUaJokB9Y4DnvriX8ZEFLp2dQNMMznw0wtUr0xTzNY9Wm01i3+EOnvvCXuobAlsSj1kPulazdclmSpSKVcoltWZfohk1CpBZC1ILuTJjwwsrbEws09oSTUuUhBXB782/92bRKa/fub7ZvSxyw5XY3OJx7yfsDhvhOi+R6Na8/aBGT5fk2kPAMG4/KNdUnUK+Qi5bm7tKSUXTa3NnGLV5M02LVCLP1PhKtUzLtNa8uX/RUcxXVp2LxpbQbc2bIAr09DXiukl5OJctMz2R3FIA6/E6qG8M4vZszRZDkkWcrk+31Zbm97OGIAhIgkivr4XZcpJ4NcNkKU5aLRBSVp/P6VKcidLiusGXYZmoS2rDNkEmZPcir1ENNSyTtJpnKDdD0djagksQBMJ2L49G+jiXvs5QfobpcpJr+Wlmy0nCdi97Ax04pPVfbJZlYWIttb+tVjy9EZw2OSP0eJu4mBljsZolq22PcvYNiKK4pXaRzSAIAnbbrcZD2wvLspi4OsvF969y9dQICxMJBFHk+V9/lLolVpKuGVy/OMHc2CI7DnTQ2ruxrsJWoBkGi/kCmVJlQ5qvqhukiyXms4XlvzUFfKssa2RJpK8himtpcZcolJjN5Chr2rLv5y87vA47O2MRrszWPLxH4ilSxRKWFd6wh9eyLHIVlatz8eW/tUeCBH/BqtRQo4+3hGoLQcM0GYknyZQr1Pu829LH67TZaAsFlv8dzxdJFkpUNH3DvsWSqhHPFyhvUVzsIe4MoigSaQjwa3/nJZLzWS6eWN9SzqbIPPnqIQ481Ydskzjz9sC9HZsgEAt4CHtcTCYza7InFnIFppIZehvq8G9iUbYemkN+GoJrVzgLFZXTYzN014d5flc39jvotV3IFTgzPrOuGJkiSwTd64+9pGuM51cH16ZlsVgucCo+RZPbj7wN7MVtDWCTizmKN1XBCvkKb/3kIm/95OJd7bdSUpfpipvBpsg0t0X4+m88Snwxx9xUilQiTypRy07KskRDS4hv/MZjNauZTaq666FcqpJOFokvZJmZTDI5liC+kCUVz1MqqVRKVaqqjq4aaFrNV/RWH9ytQhRFHI61F4Y3v9gcDmXdrI64onZhrfKp+qzh8TrxBVy3tbC82X/R2uJPsiyrRjdO5InP55iaSDA9kSA+nyWVrFFLy6VahU5bSkRomnFPvG8/j6hUNBKLKyXSA0E37k2ovDdDECDWEFhhQ1QuVokvZDf41qeIRH04HBv3Wa44Hqy4rmoetlse7j2FJIgcDe/gfHqE8eICl7MTtCfrORLagVt2IAkiqqmT00qcSg1zLTe9bhXSJkpLlGQZwzKZLC6SVHO4l2xpTCyqhkaimuV0epjrhZkNKcu3wmdzsz/YRcDmIasVuZAeZSg/Q0GvsMPbxP5A14bft7DI62XmykkckoJHduKUFGxCrS/XxKrRUfUyM+Ukeb2MQ7Ths7m21RPWYZdx2G2QX9/LbiuQRIGA13lP2wgy8Rw//6MTfPTj81SKVQRRoJgrk45nMZeojaZpMvDxdd7504947luPbksACzC8kGAylSHica17ryUKRa7NJ8gv2do4FRut4cCa1MzeWB31Pg/zuQKZUpmhhQQji0l2NdY/8BY39wMBl4MDrY384PwgumlybT7OWCJNf2P9htXUsqoxmcwwMLsI1CokfQ11d9Rf/KCjzuOmMxLC77STLVeZTme5OD1PvbcWONztdeRSbHTUhXApNsqqRqGqMhJPMpfN0xFZX6NhMV/gytL5f4j7A0FkS43Uwh0Kht0ubvRPd9eHGVlY24fZsiyuzsbZ19pwxwFsQ8C73Gu7VpB8ZXqen1500Bzy098UXRKx29oJyFeqXJya553B0XW3cSo2mkLrVxOTlSJ/MnJ+1d8NyyRVKTFXyvNC0w4c0gMm4lQuqfeEmqfrxgrrgM3gcCrsP9LJUy/s5iffO0PyJtuXQMjNc6/sY8/Btk0tc9bCjQBo8OIUb/3kIuc+GV2xf1EUECVxObiq/acWOAtwR9RdURS2VCUWpe23nLhfUBwydsc9sSVehmmaFAtVrpyb5I3XznH57ATZm2xlRKkm7S+smDsBm01CQNhyEuUXGbpuULpJAEeSRRSHbUWP9Vbg9jiWq+dQU3S9wdzYEEJNwGwjv9/thmVZVDWDckXdkHoqCAIep4JyG+dCROBwqId3fZdIqnkuZ8cp6RXSaoE9gXYcokJCzfJx8hpnUtdJqwXcsmPNvktFtBG1B2h1RblemOXj5FU6PTEeifQRsfvRTJ2pUpyTyUF+Nn+WoOKlqFepbqJCfAM2UaLO7udoeCfvxS/xYWKAol7BKSk0uSJ0eTemg+qWyUwpwT+++mdE7H76fa10uGPU2f04JQXN0kmrBS5kRnkvfpm5cooOdz17Ax1bPp9bgc/twOd2MJ/YxKtuE8iSRFM0cE+vxY9/eoGzb13BG/Lw0refQBAE/vAf/3DFNg6XnYb2OjwBF8Pnxrft2Ocm59jdFGNnfR0u+0rPzpqCtsHlmQXeGxoDamvE/oYozUH/qqqquGQx8Vh3G/O5AlOpLJdnFvne2QEa/D68Dju2Nd5fN6wXdMNEMwwMy8IuS9hvU7Tn84CAy8mR9iaaQ36mUllSxTInrk/QEvJzqK0JRZJWe9obJtcWErx9bWSZelzv83CgpYH6X8AA1qnY6I6GOdrRwpuD1zEt+NNTl4l6PRztaMal2NZM4luWhbEkNnbDHsRjV1Zdb3abTHPAR39jlEvT81R1g9Pj0+yoj9Dg92KXV89BVTcYmk/w4R3Y+TyI0HWDiqpv6K0rUFvT+tapxGmqTjFbxr3ECtQ1g3KhUtPBWBKc0zWdQq6MN+BCttWYJGpFpVrRsJb0RRSHDbtT+VytbXc11fPJyNSaASzA4OwiC9kC3fXhO/pNbrtCU8hHU9DHWDy96vOqbvDJ6BSiKPBfPv8IzSE/dllGEFj3eOYSBf702DQ/On+VkTXoyTfgddjp2aDHtmLoDGVX+3vbRJGIw8VX23fxjc69OOW7b3HY1rdAtaKtWOTfCNy20v+6EWSbdNsTLYoCew62896bV1YEmG6Pnb0H2xClO7sZqhWNH/zJx/zwz06RiudXUHElSSRS76O+MYA/6MbjceB0Kih2GV03uX51lktnJ26LvigIwpbP3/3KNN0LyLKEfIfS4ltFJl3iL/7oJK/96WnKpeqKubMpMnVLc+fzu3B7HTgcCna7TLmkMjw4w5ULU/d0fJ8HmIa1rOANoNjkLVs9rMCNZ8NyX7ZBZQsm3AKg2G13Rfu/XVRUnRPnx/hPPzlFtrA+5dbpsPFf/dqTPLK3/bb2bxNk/nLbM1QMlQ8Tg1wvzDI6Mo+4dDNb1Dxjj4V3ciy8k+H8DFdz02vuq8vTwJebjvG7Qz9Aswz+88Tb/NHEO8tiTbplIgsSnZ4Yv9P9Cv/y+o+4mtv6de2UFF6MHeRUaoj5Su3lucPbTL+vdU1hqbVQ0MqMFRY4kxquUYlv+syiVqk1LJOow8+jdf28EDuw5fFtBXUBD9Ggh6GJu6uYKDaJXV0N91Qs58J7g8g2iZe//QTP/fqjXPrg2prbuf0uXD4nqYXMth17IVfgB+cHsUkiv3Jw94oqoGnBJ6PTfPfsFS5OzwO1d9VX9/dR711fU+KrB/oZnIuzmCuQKBT50aVrxPNF/uoTh+lvqFsVmFrUKowDc4ucHpsmUSjxdG8nT/S0b9vvfFAgAGGPm7/59DH+Pz9+h0ypwttXR2uqxBYc72pdea9YcGlmnj/+5CI/vfIplfLXj+6jNRT43Cz4bxdddSG+dqCfT8amyJarXJ1f5J+8eYJX9/fx0q4dyxTjm6GbJrOZPBen57gyswAC/NfPP7Ymfd1jV/jWkb2MxdNU9RLX5hN8//wAHrvCi7t2cPPSUTUM3hsa4zunL2246P88YWw2xY8+GOCds9fX3UaWRPo66vkHf+OVNT+/dnacf/k//DF/8x99kx372xi9MsOf/JOfINskvv63X6S9r5FrZ8b553/vD/nv/9Vfo3tvK1PD87z3F6c58do5MvEcoXo/j335IM9/8zix1sjnZm27tyVG2ONieCG55ucDM4tMJjMc1ptw3GH7RFskwN6W2JoBLNSoxO8OjjGykOSvP3WEp/o68Tsd67YiZEoVfnzhGt8/O8DV2fjaGy2hFsCu30fc5Qvz+09/c83PBKH2xl9Lpf5OsK0Rw62WMuE6L7/6m4+z91D7HVU7b8Drd96W6q9hmGTTRb7z+x+wOLeSlrg4n+WPfu99/ru//yo+v+u2gutctsSH71ytBa+JWvBqs0l07Yzx6DN99O9rJRj2YJPFpSrsp5XYTLoIWAxcmHog+u8eRNzL51NiIce7b17mJ989Q6lYwbJAscv07Wnhkad2smNXE4GgG9kmLc/bjbmbn02jafrDAJZaldpu//SxoWn6HfVTW5aFrn9q1SFJEnbH1h/m9/NdVlV1Tg9OMrOYpVheP8h2OmxUblPd9sYis8EZ4rc7X2KPv50PE4OMFufIaWXsko0WZx3HI70cD/dSNTUyaoGrrB3A+hU3T9Ttxis7+fnCeYbzs2S0AhbglV20uus4FOzm6fq91Nn9RO1+xsT5LY9XEW3s9rfR6qqjqFeomhqtrgj9/tZNF8yyINHmquc32p/jYmaUidIiiWqeol5BN3VEQcQjO2h0hun3t3I41EOvtwWXtLVe562ivTFIR2OID86vT5PaDHZFpjUWZEfr1sTL7hTJuTTBqJ9IcwhJltZN3CgOG4rdRjK/9oLmdtEeDqKbJou5Av/u/dO8fmWYHdEIIbeLqqEzkUgzGk8xn6tdWy7FxqNdbTzS1baKPnwzwm43f/nYfkzL4t1rY+QrVU6MTDAwv0jE7SLq9eBeapcpqxrpUnm5B7GkarRHAhzr3Fzo7/MIQRBw2Ww8vaODofkEP7gwSDxf5JOxKcYSKVpDAbrqatYvZU1jPJlmIplhMVdAN0xcio3n+7t5YVc3Iffd02kfVDgUG3uaYvw3LzzOP33zQzLlChPJNP/+xBl+cH6QiMdNxONCsUmoukmuXCFVLJGrVCmrOrIkcLCtad02Eodi48kdHbw3NM67Q2NkyxWuzCzyf//sBH9xbpDuaAiHzUa+UmUskWIimaGsaXTXh/HY7ZybnL2/J2SbMbWQYXB8gYUNXB1kSaQ+tL7uhd1pIxTzMzU0T0d/MzOjC2hVDV0zmJ9I0NQZZWZ0gWhTCMVuY/r6Aj/745PMjcf52t94jlDMT3oxz5t/9CGGbvD014/Svk2tEfcaTSE/rZEAV2YWyK+RlFcNgyszC+xtbWB3c/0dHaM1HGR/WyM/vnBt2XbrVmiGwVQqyz99/QR/8OF5+hrraAkHCLmdOGw2NEMnW64yspBkeCHBfKZAtlzZkGXmcSi0RgI0rtODCzd8we8PQ2Zbj+J0KSt6SgVBwOFUaG6LoNjvzw+yLItsusif/acTDA3MUK2oSEuUXtO0qJQ1rl6e5nt/+BFf/fXjW1YgtiyLVDzPT753ZrnyKssijz7Tx/Nf3EdHT4xA0LVuT61hmMiK/LnJIv0iwbIsZqaSvPXji+SyNZqVbJN4/ov7ePKF3bR21uHzu7Ctk2Qp5Mvbouz5iwBZlnC5P12g6oZJtaIti6NtFcVCFeMmtoZsk3C5tjdQ2S6oms6F4VlKFXVDA2/jNnwbb4VNlGlyhnHX72N3oJ2CXkYzjZpCr2QnYvcTVDxolo639Umei+0npHhXBXeSIBJUPBwL76TNHSWnlVBNfVnx2CU7CCke6uwBBODb7c/xpcZjxJzBLakHi4KAQ1JwSAqiIOC3uWlz1xNzbO7hKwAu2c4TdbvZG2hfDoB108TEREBAFiScsp2AzUVw6fdt90I85HPT01pHe0OI8bk7q5rEQl5ePN6L4y4N4zeFVUsaiZucA62qo1V1lNu0g1sPHofCkz3tzGTyvHttlMvTC0wk0iiyjGlZFKoqFVXDsCz8TgePdrXy1544TNTn3lBdU5ZE+hujfPuRA9R5Pfx88DoLuQIlVWMhW+C6LYVt6fu6aaIaxoo+ry4h9AtpD3MDolizG/q1w3vwOBR+cmmIkXiKqVSWxVyBq/NxZFHEMM3aHCzRPJsCPl7o7+ZXDu2mwb89gkYPKkRBIOBy8kxvJ4os82dnLnF1Lk6qWCZTqjCZymKXJSRRxLRMNMOkqusYS8nSgNOBR1HWXYrdsHz6rccOIksi7w2NkSiUmMnkSBRKXJ1fRBJFNMOgWFWx22w80tnC4z3tXJ5Z4Pzk7D1XJr+XmEtkmVpIb/iuEwQ2LMQ43XYa2iJMDc+jawYzI4sEo35M02J+IoFa0ZgZXaSpux67U+H0W1fIxvPseaSH4y/vw+5SqJZVpofnGT4/Qc++1s9NAKvIEv1N9VycnF8hrHYzLk3Nc7A9fscBrNtuo7s+zMH2Jj4eWb+wohsmi/kiyWKJuUxuyV6rxpozLQtNNyhUquQr6pZ8WdvCAY50ND8wz+BtjSqDYTfOm5RFVdVgdiqJuQ2GtVtFNl3i1Ilh3vvZFYr5WqVt5+4mGpqCzM2kGbgwRSFX5u3XL9HaUcfhR7vxBzfvFamUNWan04wOzS9XjVo76jjyWA97D7Vv6iNrmiblwv3xDHyIlSgWqsxMJpkY/ZQy2LUjxrEndtK/rwW7feNFqGGYVDaovP0yweFUVtrXWLV7rlioENjCfQQ16tviXBZV/XRh6nQphOq2rmR8v6BqBvFMkZl49p4zJ2RRImL3EbGvn920Y6Pb66Sb9V/mkiDitbnw2jZXId3pa76tMRqWSUYtkqzm0EyDnd5mOtyxDdWHb6BGH4Kw3UvY/tnNtU2W6O+I8cyRHv7kjXOUtkBdvxmxsJcnDnTyyJ72DdVhtwPhhiCJ2RTpeG5dpkO5WGV2dIHkXGbbBJx0w2RnrI7He9ppDfk5OznLWDxFplxB1Q0UWaIx4KM9EmRfSwOPdLbQ1xDdUn7WbVfY01SPz+GgJxrm8uwCY/EUs9kc+YpKoapiYWGTJHwOOwGXkwa/l7ZwgH3NDfRE740NxoMCQRBoDQf44p6dNAf8nJuc5ep8nJlMjly5QlU3sMsSXoed7miYnmiYfS0NHGhpoDt6d/6PnxfIkkjE4+a53i5CbicXp+YYWkgwmcoSzxcpqSqqYdR8XW02Yj4vdV43TUEfPdEIh9oaN7WH2lkf4ZtH9tAWDnB+co7ReIpEoaZKrMgSfpezdt5bG3mkq5WYz0uuXOvz/Lyu83LFCvPJPJm7FLhzuOzE2uo4994gakVlYSJBQ0cdakVjcTpJpVRlZnSRg0/1YXfamBya4/qlSfKZIotTn1JvR69MM319gUyigLnUF/t5wL6WGB9fn+LaXHzNZMZsJs94PE2uXMHnvH0xJ0kUaQ0HeHFPDxcm55YTWevBMC0ypQqZ0p3bPNlliR2xOg51NN3xPrYb2xrA+gNuQmEPDqeNSlmjUlYZGpilWtGw34Zq6J2iXKoyNDjLz167QHyhJtBRV+/jsaf76N/fypULkyzOZUks5liYzfCz184TCLnZtb910wC0XFaJL2RRq59eKO3d9TS3RTb9LoCmGszNpB44+5pfBhQLFZLxPNpNAVNPXwMNTcFNg1eoJS8W5zJ3PY4bC/hlPHhi0JvC43XQ2lG34m+z0ymSi7mtB7CmxcjQHOWbxKA8PidNraENvvXZoFRRGZlOUKneHjX4FxWqoXExM0qimsO0THb4mujw3FkW+bNEQ8THM4e6SWaLfHB+lEyuvGn1XJJEWusDPL6/kxeO7aQ+fO+D8F2P7uDnf3SCC+8NEqz3k5rP1ASUyhrpxRyJ2TSjl6b45PWLmKbJ/id7t+W4VV1HkSX2NcdoCvjY1VjPWCJFulRBNXQUSSbscdERCdITDRPz3965cNhs7IxFaAn5OdDayGg8xVw2R75SpaLrtRYPScJtVwi6HTT4fLRFAkS9ng3tTAAiXjeP97Thcshcz8dJ2bP8aO4idXkPuwIN7PDVL/eEbxf2tzSiLQlNBVxOAm7nplXzW5HXKgznFpkpZXiuoZeWUO339jXUMbSYZCadJVeuLp9/r8NOg99LVzREeyR4W3ZEraEAL+3qoa+hDo9dYVdT/V2TwzoiQb68t5d4oUhXXZiobzW77WBrI9JSBblzDVVfv9PJsc4WFFnCpSj0N0aXvYNvhSgI+Jx2ntrRQW+sjvFEmslUhnihSKmqoS0FsA6bjN/pqAWwAR8tIT+hLVgMiaLI3uYGGvw+9jTFGI0niS/R2e2yhN/poD0SpDdWR8znoaIbHGht5C8f349lWextjuH+nHnxzsSzLKbzy0JXdwqn205De4TX/sMiqfksakUj0hikUqySmM2QnM8yP56g+bfrUZwKxWyJalldLvTcQENbHQ1tdTTesuZ40NEaDtATC/PJqIvkTWJOoiDQGPTRFQ3RGb279U7A5eRIRzNHu1o4OTyxLpV4u7CzoY6jXS00BB6cQsO2BrB2h43mtgjRWIDJsThqVWN0aJ7R4QX69jRvKdC7Uxi6yeRYghNvDXD5XE0NTrHLHH1iJ4ce6aajpx6nU2F2MsXPXjuPpupcOD1GY0sIX8BF547YhmqShm5QKa9cxLo9dhxb6NtTVZ3EYo6x4cUVPrAPcX+gawbVysq58/ic2LZAa69WNBbns0yNrVZVu11Ikriih003DCqVz1dg5PbYaeuM4vU7KeTKWBaMDs0zNZ6grSu6aT+gZVpUKirnT42Rz9eygYq9JqDV0PzgBbCFUpXBsYXPehgPBEzLJKuVeGvhAmVDJWz30e1p2hJ9+EGDTZboao7w7S8cxuNUuDK6QCJTIF+sUlE1dMPEsmqVHqfdht/joLHOz6N7O3hsXwetsfvzmw89u4vxK1MMnhohvZjD7XOiawZjV6aRvneK9EKWq6dGKOUrHH1pL/uf7t+W4xqmhWVZiKJI1Och6vPw1M7tVYOGWu/szliEnbHtq6o2B/1E/R52dUb4d9dPkK6WOJMZx56XcUsKPd7otrfyPNPbyTO9nXe1j3S1xFtz13h3YYhjdR24ZAW7TaYrGqZrmyurvQ119DZsb1CwuynG7qaNlcif7+/m+f7udT+v87p5Zc9OXtmz87aOXe/zUO/z3JP+6Dqvmzqvm0e6WjfczqWI7GtpYF/L5l7mDyrGZ1Mspgqbb7gJ7C6FaEuYXKrA2MAMbr+LYJ2PsquK4rAxPjBDPlMk1hZBsduQZInGjjqe/cZRDj27e9X+nG7lc1N9hVofdX9TlN7GOj4cmsBuk6n3eWgO+TnQ3sgj3a301IdxO+68bUqWRGIBL986tpeZVJbJZOaeBbFRn4dn+7s43tWyYYvI/ca2N6b29DfS1dvA9EQC07QoFir85Htn8PqctHbW1SxJNslMWpaFaVpUKxo2RUaWN5bQtiyLVDLPR+9d472fXcGyLARRoKO7nhe/vJ+WjtrLsaUjwotfOcDw4CzXr81hmhbvvnGZcJ2XcMS7IYVRFEWUW/pb87nyptRSwzCJz2U5/8noln0uH2J7IUniKpuXXKaEuknwaOgmM5NJLp0ZJ5lYX9Bgq1AUGZtSE2KxTItyUSWxUKOm3uxp+yBDsduINQbYd6iDjz8YQlN1xq4vMHhxit7dzdQ3BNYVmrEsi+pSUuvi6TGKSwFsrDFIT28jPv/mWfH7CcuyyJeqXB3/5QxgDdNYpj+ZWOS1EoO5KT5KXkUzDQ4Gu+hw12MTP5+WJjZZoq0hxH/1rae4MjLPxeEZhqbiLKbyFMsqhmnhcSjE6nzs7oxxdFc7jXU+bPex/6ehI8rLf+UpJFni9JuXKGRKyDaJC+8NcvH9q9jsMp6Am+Nf2M+L336ccMPnL5lwL5BTy5xNTfLO3BD/6/4vsdNfj2FZBBQnsvhg9G89SLAsC8u0WJxKoqk6lmXh8jrxhz3YtsBS2s5xFLMlysUqvrAHu+PBqGAaZhXVLGBaKrLoQhG9CNtcxf+sYVkWE3Mp4pniXe9Ltsn4Qm48fhdXz4zhDbrxR7zYXQoOl8Lw+Ql8QQ/eUE04s7GjjuR8hsRcBlGqaedYgK4aS+v5Nc61dfP/blAYsj79+H4y3voaoxztbGEykaEp5OPZ/m6e7e+izutC3oS+vlW47QqP9LTx5fkE3ztzhelUbsPe5Ts9xnP9XTyxs4Oof2uaQfcL2x/A9jWye38r50+Nkk4U0HWTd9+4jMtt58u/eoS2zmgtk7Lkj3oDllX7L8sCwzTJ58oMXJikoztGtMG/Kni8GaZhceKtQd5549KyR6XTqfAbv/M0rR2fqkTKskRbZx2/+TvP8A//pz+jXKpSyFd45/XL+AIuvvj1w4jrZBecLoVIdGWAOzESZ2E2w85dTcveoZ/+HmtZUOrUh8N8/zsf3+EZfYi7hdvrIBhZSW8dHpwjlSjQ2lm37Pd6Azde5qlEng9+PsDPfnT+rscgCAIIEAp7cboUSoUqmVSRa5dnyKaL+INu1ktsWRYbenjdb/gCLl75+mEunZsgq+qoVZ0P37mKx+fg67/xKA6HsiqItayav9z0ZIJ/80/fIJ0s1F5MAuzc1cT+o9tf3blbmJZFtlDm+tTdV98/j0ipBaqmhoBAXi9xLj3CX8ycpGpq+GQnT0X30O6OftbDvGuIgsCe7gb2dD+YlZPufW0098R47luPcuG9QaaG5ynnKzjcdpp7Yux9opeOXc04HlARtM8CBa3CTClDizvIo9Eu/MrWXQx+GWFZFpVSlX/4V/8lE4OzqFWNJ792hL/833+F1p33TzzH0Aze/4vTfPzTC/ylv/cVdhxsv2/H3ghZdYzxwuukq0M0uI6zw/+ryMLt9y4+yNB0g8n5NKns3QewUAtiO/qaGDw9ynO/dgx/xIOjpKA4Fc6/f422vsZl1uOhZ3cxfnWOE6+dx+G203+kC7CYHYujVQ12HGijpSeGZVo1sUTDpFJRsUyr5h9b1dFUHVEUlgU3jSWXg2pVRdcMTMNErWhoVQ1BFJCk9VXdtwMRr5uX9+5gf2sDe1pi2O+RTaRNEvntp45Q0XReO3eVmXR220TEJFHg2f5Ofu3YXnq2kSWzXdj2MyqKAkce7SGTKvLHv/cemlbrO3zrJxe5enmavYfa2XOgjcbWEG6PE1GAalUnmymRWMwyPZ5kZGie8ZFFqmWVv/s/v0oo4tkwgP34/Wt8+M4g8zMZoLbA/vKvHqF3VzPOW2jLDqdC795mXv3mEX78vbPkMiVmJpN8+PYgscYgRx7rWfMYDqdCrClIrCnIwmytD2lyLM7rPzyHKAkcfqxnhYpqPlvmyoVJ3vvZFc5+NEKlpOL1O8nnyhsmix5i++H2OGhoClEX8xOfr1XBx4bnee3PTmEYBnsOrhThyqZLXDg9xtuvX+LyuQk0VcftdSxXDO8GPX2NDA/OUipU0XWD0eF5/tk/fI1Xv3WMzp56PD4noiigawbFYpV8tkQhV6G7t2Fdhev7DbvDRt+eZl7+6kHe+ME50skCicUcP/7uGcauL/LMy3vo29NCIOhGkkVKhSpTEwnOnLzOe28OMD0eR9drWcLd+9s4/uROmlofPPGRTL7MxHxqQ0P3X2S8MX+WtxcvLPW7WmimTsVUkQWJb7c/z05fC4p4/6ozv8ywOxQ6drfQ3NOAoS9VJQQBSRax2W331Mrn8wjNMijpKk7Z9rkS/v+sxioIAg63g//9O3+X1EKWP/w/f/AZjWRpPGLt2n5QELB30SF8EYf04LW5bBfG51KkcqW77n+9AVmR6NjVxMDpUSINQfxhL6pbI1jnJZ8p0r6zcdnGsr2vka/9zrOc/OkF3vrTj/mz3/0ZoiwSrvfz6BcPLAel09fn+eHvvcupn12mWlHJpYrMji7y8+98RKjez+Hnd/NX/sevAPDav3+XD35wlvmJBMV8Ga2q8w9+61/hcCm09zXx2//L12jdcW+Tlg0BL1GfZ90+7u2CKMBfeeIQDQEvf37qMpem5++q2iwIEHA5+MuPHuBLB3pvW+PgfmHbV8SCIBCq8/LYs31UKxo//M4nlMsq1YrG1HiCdLLAmZPXsTtsteyLIGCZJrpmoqo61YpKqahSKavINglD3/hmmhxd5Oc/ucjw4BymYeL22Nm9v5WXv3oIt9exKsMiigJuj4Mvfv0I4yNxLp4Zp1Sscu3KLG/+6DyNrWGaWlY/pERRIBL18cqvHOIP/vU7qFUdwzC5emmaxbkMr/3ZaXwBFw6njXJJJZsqkkkXyaSK6LpB354WXnr1IP/8//zRA6toW61qjA0vMDuVolrRqFQ01Kq2/P9nJpNMjHwqC14pqfznf/suwbAbh1PBbrdhd9iwO2TsDgWH08bhR3u21Cd8LyGKAs1tYZ79wl7+5D+8DxbousmF02NMTSQIR7x4/S4Uu0S5qJJOFcimS6RTBURB4ODRLvYf7eBf/X9fv+uxHH60m4ELk8zPpNGWgtQLp8eYnU7hdCnLolK6YWDotUyj3aHwP/2jXyW0geVTpaIxPDDL4nyGakWjWtGpLs1dtaIyMRpnbvpTj8hUIs/v/8u38AVdOBw35k5GcdhwOGx4/U6OPNKzZobyhj3WF3/lEJWSygdvD5JczJFJFTn3ySgTI4u4PQ4URUYQhFqvb0klly2TSReXg9eevkZe+upB9hxqeyAX4KlcidGZtc3Ifxlgl2yIgkjZqGJYJl7ZSb+/laeiezgW3knQ5tkSKyBeGWK+PECz+yABW8u2MwmqRpHJ4sfMli4QtLfR5j6OX7k/VSPLMrmY/i5heycRRzcOaX0F6buBIArYFPmBSWI9qHhjdoB35q4xXkwxU0pT1jX+xkd/iCSI7PBFeaV5D4fCtV7Gsq7x/sIwHyxeZ76cQ5Fk+v0xnqjvYU/wU6XNf3n1XWRR4vFoF32BhuXvvjE7wPnUFL/Wfoi+QAMfLo7wUXyMPcEmrucWuZyZxbQsWtxBno7t4FC4DbskYy1lsN+au8b7C8PMlbIE7C6aXUFU87NJlglLjLhAnQ9BELC77OifQeJOkiWOvbyP/mPdRB+gpKYo2JBFJ5Jgx7A+FRkq6Yssls8jCQotnqdRjTxXs39Eo+tRZMFFqjpAXpvCtAxMS8UpR9jh/way6GS+dIpU9RpVI03VyIIAnd4vE7L3Iov3v7o7PBUnW7g79eGb4fI4ePnbj3P4+d00dkRxOBUUu40nXj1M7+FOIg0BlKX1jmyTaettJFDn49Ev7K+1dwkCikMmEPHhC9cYdHVNIb78157mqa8eXiG6l1VHiWtnkX0fM5F30+J5mke+sJ++w52oFW1FzUgQBJxuO9Gmu0tGFLV5BEHGJa9fmZREkfVi18XyBbLqOPXOg/iUO+/dvvE+9ToUnt3VRUs4wAfXxnl7cISx+O35gouCQMzv5Xh3K8/t6qKvsY6wx/3A2nLdk7ehzSbR2BLi+S/tIxBy88HPBxgdnqdS1sikakHdZpBkkUi9D4/PsZyluRmmaVEuV/nRd08zcHGKUrGKLEu0d9fzxa8fpq5+A6NdUaAu5ueVrx8ilylx7coMxUKFy+cm+fGfn+bbv/P0mqrJHp+Tx57pI76Q44M3B8iki5SKVUrFKrNTKRS7DVkW0TQDVdWxTItA0M3BY508/6X9dPTUE4l6mZtO33NLjjtBuahy6sQwH713DUM3l4MoXTcx9JoQ0s1CVpqmc+bkdWyKhCxLSLKIJEvIkohkk1AUif59rZ95AAsQinh54rn+JVrw4DJ9vJCvMDORxKbISLKIrtUosZYF4TovRx7t4ZmX99RoyCE3mXTpriTyY01BnvnCXqpVnYunx6hUNErFKhMjNYufG9fcjWOIooDP78LQjHX3CVDMV3j/51e4cn4SXa/Nm2GY6LqBrtdsgKo3zV2xWOGTD4aWf7ckSciyiCSLyLJEXb2PQ8e7kdapCQgCRBsCfOFrhwiE3Jx89ypj1xcoFaqUblIRXOt7TpedA0c7efql3ew52PbA9b7eQDJTZGT6lzeAPRraSbMrQkErY1omimgjaPfQ5oritbm2rORaNQrktFk0c3sUcm+FJNgI2ttIVkepGFl06+6ZEreDrDaDSw5hWtu/4L+hWv8gtRA8yGj3hHky1kNzPsHHiTEWy3leauzHIdmIODzEnLV1QVYt80lijD8aO0Wnt44D4RZU02CimCI+cQ4Li73BmsXUWCGJTRTZF/rUcsq0TObKWa5m58lrteddslrkxOII13ILdHoi7A+1UDE0rmRmeWN2AIdk42C4Fd00uZyZ4bsT53BJCv2BRuySzFwpy+XM7P0/abdC4DMrBQuiQCgWIBQLfDYDuE3oZpWSvoAs1ijqJjpZdZywfTdIkK4OARaN7seo6Cmmim/T5H4Ct9xAsjKAhUm98zAZdYSZ4ge45DpE4bNJUg1NxMkWtu/ZKckS0eYw0eZPExGiBJGGAJGGwKrt7U6FaHOI6AZijg63nZaeGNxClKzoEeIVB4uVi5T0OGBtuq+7xWLlAjbRjUt+/I6+XzWyFLQ5wvbtSRoIgkDI7WJfi416v4d9rTFGFlMMzyeZTmWI50vkK1Wqmo5pWUiigF2W8bkcRJYUujvqgnTVh2mvC9IWDuCwyQ/0e+ee3Sl2e02ROBB0E20IMHRlhqnxOAtzWTKpIuViFVXTMQ0LSRZxOGy4PQ78QRfhOi/1DQFau6I0NodWiWZYlkW1ovLu65f56L0hMsmaalpTW5jHn+1n94G2DU/6jc/2HmxnaixBIV9hcixOOlng5LuDtHdHefzZfhzOlUGszSbR0BTklV85RDjiYfDSNLNTKdKpIpWSilrVsEwJ+w26cWOA7t4G9h/poG9PC5pm0NIeIRnPUy49eFVYTTOYm0lz/erclra3rJqQ1XoQJRFdfTDol3aHjdaOOr78q0eJ1HkZGpxlbjpNNl2iUlFRVQ3FknE4FRpbwjQ0h9jZ38j+o5107YyRXMzT0hEhn59G3ySY3AiKIrP3YPtykmfk2hyLc1ly2dJy0kOSJRRFxulW8AfcNDQFN1VM1jSd6YnklufONCxy2fXnLpcpbah4cOO+6Oipx+G0EWsKMnhpiomRRRbmsuSzJaoVvebnaJNwue0Ewx5iTUE6e2LsOdBGT38jLveD2benGwaJTJHJ+dvLYP4iodVdR6v7zpRK45UhstoMpmWQ1+bRzU+TGqnqOBl1CtUsoYgu/EozflsjaXUC1SxTZ+9Gkdxk1VlKehKnHMRrq1/63jSGpWKXvISUNvxKE7KoEFLaCCotFPWVCQfVKBKvDlHQFrGwcMsRQvYObKKTnDpHRp1EEERUs4RLChNxdOGWw1SMHOnqBDltdul7YSL2HpxygKKeIFEdoaynkUUHZT2DxZ0/EzbC6//xPYL1fnYc7CBU7193u7nxRUYvTSFKIo+8cuCejOXzgC5vHR2eCK3uReKVmnfkl1r24pXtiIKAuJR0iVfy/Hj6Mook83xDLx3eCFVD4/2F63yweJ03ZgaWA9jbQdXQKGlVno7toMMTRjUNDMvkWnaewew8B8OtVA2d12cGyWplnm3YydFIB5Zl8XFijDOpyc8F5Tm9mGN8cJrJq7NUilWcHgdtvY107m7BE3Qvvx+qZZXRy1OMXZmmsCQO5PI6ae6J0bOvDfdNycsTPzjD1PAchm4SjgU48Ew/9a2rq1u5ZJ7Ry1OMD85SLlRwuu209jbSsauZYLR2jxSzJd7584/p3ttGPlNkYSJBKV/B5XXQ1BOj/1g3NuXTxXl8OsXolSnmRheplKrINhl/2EPvkS7qWyMot5OEv+m9KQgSLjlKzHmEor7AZPEtqkYGlxwFQUQ3y6hmAUl0EHHswSXX3/cA1rIsVM1gdCZBvrh+8vmzRllPkVXHKerzCIBTriNs70ORPDjkID6lnaK+gGWtLA4VtQVy6gQlI4FIbT4izl0UtXkqRgaXHMFja0Q1CqSq11BEDz6lnaw6SkGbRbfKiIKC19ZE2N6PamZJVa8zXfgASbSjmSXsop8G91EAcuoEOXUC1SxiE514bc0E7T1YlkWyOkBemwHLIqdNrKjmbxccio32SJDmoJ8DbY1MprIsZAtkimWKqoq61BssiQKKLOG22wm4nUR9bhoDPkIe56YeyQ8K7umdIkki/qCbJ57rZ8/BNqbG4kyNJ4gv5Mhny1SrGoZuYrNJON12fAEnkaiPhqYQTS2hDVWBLdOikCuz91A7mqojCAI9fY088nTvlu16nC47jzxdqwrcWPgrdpl8toy1jpKXJEt09sSI1vvp29vC2PACi/NZivkKhmFid9hwuuzUN/hp64rS2lFH8Cbq56NP9xEMeymXqnR0RxGl1a8rl1th94G2ZcXaWOPaypK+gItd+1uXG+H79rbg9qwOCCRJ5NiTO0glC5iGSe+eFlye1RQVu0Omf28L5jZVh0VRXHcuZJvEscd3kOrNYxgmkXrfbfuAdu1soFrRyWdLKHaZ7p0b9zPYHTZ29DfS0Bzk2uVpxkfiJBZzlIpVLNOqzZ1boaEpSHtXPS0dkeXqoNvj4MnndxNrDKJpBg3Nodv2+bsBr9/JweNdtHVFGR6cZWosQTKRp1rRME0Lmyxhd9rw+ByEIz7qG/w4XRtf0w6nwv7DHfj82yNW4g+4tpx5a2iu9Rfv2t/KyLU5psYTpOJ5ymUNy7JQFBmv30m0wU9bZ5SuHQ3YHVvP7MWagjz+XD+lQs0kvr07itu7dYqVx+dk303nxu1xUN8Y2PA7+WKV+WTurg3df9lgWRaaVWa8+BGaWcYheSnqKVSzuPzZRPEjdLOKgIhmlijoceweNyU9xVjhQzyhCDbRRbwyRFodp9V9DJvoYDT/HpJoA0sgVR1FNQo45SCKuHYFXzdVstoMY4UTOEQvIJBWJ7EsA5/SRLx6jbHChzS7DlI18ixWriEKEjbRSUadZrL4CbKoYFkW8coQkmBHFCSS1VEmCh/jlP0ooouykcG4B9VX4P/P3n8GSZKm953gz2VoHZGRWqvSuqq7qrWcHo3BYIAZEABJECSO3ANJu+PeLW/N7j7sGrl2ZlzuYUkAlAAhCQxG90yL6WlV3dVd1aVlai0iM0Pr8HD3+xBZqquyOit1VsdvLKc6I1y8Hh7p7/uo/8PP/uRdOvY0E2rwP9CAjYxHef8Hn1AulT/XBqwkiEgCKKKIuCjOp4gSqnR7qaObBgvFLJfiU/yDrhPs8tXjVirPk1y5xEhmgU+i4xR0DctDKmw7ZAu93lqOhW6L0vW4w4xlosSKFUe7ZuicXhhhl7eePb4GmhyV+T2nl+hwBRlOb23RuEwiy6WTN7jw7nUyiSyGYSDLMgPnRzn+5YPseqwTd8CFVtSYHorw0//6DlqxTFmr1G5LskghV6Slpx7HHV/paCTJRP8sY9enEESBuvaaewzYVCzDlVMDfPjjc+TSBaCicDh0eZzkwi4OPLMTb8hNJpXnR//hF/QebkdWZfLpAoVcEa2o4frYidVuoWt/C5IskU3muPDeNS68ex2tVL5VtqaoMqFGP8F6H3B/A7biEDExzfKicKdOyUhhsngM0bmoWCwhICAJ1sVMDQGL6KKox8iWZ7BIXpoczyCw8amahmEyG00RiWW2rN6DbpRIlIaI5M4hCSomBguFq1hENx6hDUm8//qobBSJFq8TL/YjomBQZr5wGYcSpqgnmc2dwWtpxyHXUdBjjKRfp9n5LC6aKBlpcuU5NCOHZmSIFW4QsOxEN8sU9TgFPY5kWMiV5zElA0yTsllgOvsxmpFGQEIz82S0aexyDQIS45l3AFBFN/ly9FY5wXogSyIBl4OAy/HZG29TNszV4/U58Poc7FkDVTlBELA7rXzr7z656mM1NAX45m+ceOj9nG4b+4+0s//I8nu/KarMS189wEtfffACwx908Uvfeewzj1ff6Ofrv/YY/Npnn/cf/NOXPvN4bo+dL3/zCF/+5pHP3Ha12Owqv/17Ly5r21w5R6acQTfLOGQnbqWSBvbsy3t49uU9D3VeQaik5B450c2RE913vWeaJkWjSLqcwi27sUi3jSSXx8ZXvnX0oc71IGRZIlznJXyfVJqV4PU5+NbfXVkqy1qw1tdzJ3sOtLDnQMuK9w/XefnVh/xsZqIpJueqba8eFhODjBYhWZqg1/0KDY79DKffZzD9DgaVaOx0/hI9rhfxW9qYyp0jUZqkoKcIW3dyKf49cnoMVXSQKc9hAl61kWhxhKn8eY4G/h52OcBQ+l2S2iTZ8gKqev/+jEUjTaw4imYUeDz0D5EEhXPRvySuTSCJFgxTRxJk9vh+CYCTkd8npU1hk73EiiOktGkOBf4OIHA+9pcktUlk0UKyNIUsKBwO/CamqTOR/YTNVua7WRsbnUmsbH9RIuh03OphWet24rY9WiqrN9EMnbRWoKhrNNh9KHekwrsUKx7VRkYrkNGKqJb7RyJMKmnEn8YmqzTYvHe9pkoyAgKlRae4gUm0mMWn2rFKtw0jiygTsji3vAE7dHmCM29cwjBMvva7LxCs9xOdifPn//qHvPeDMzi9dvac6CGXLjBwYZQPfnSW/+u//U26D1QizZGxBWRVviv6CvDV33kO7bee4kd/9HPe+dvT9z338OUJTv7oLKloml/+H16mrj3M7Ng8P/lPb/PBj89idVhuOXBM0+TMG5d44TsneO5XHsPhsXPhvev84r9/yHvfO03brkYkWWJ+Ksb5t6+RyxT45u+9Qk1TgFwqx8i1KWpbQigWmaKeJKtNU9DjGGaJjDaJQ6lDEiwIgkRBj5MsDVM0khT1JKZZycgQlsjHNk2DsllAFT2ErHuxiB4QRHSzhIS6oS16yrrB1eFZ8lu4J33RSBEvDlAw4vR6voVBmUvR/0xKm8Auh5c0YAt6jGjhBmDS4nqBvB7javxPSZXG8Vt6meYjsuUIRSNJvhwjW54jaNuNJFjwqK045FpAYKFwhf7k9wATmxSgxfkc0cJ1rJKfXb5fB8AwdbLlCHOFizQ6niBg6WWucIlY8Qbp0gSioJLSxtnt+y0C1l6GUj9lLn9hoz7CR5KqIkSVLc9kfoIz8TMkSnH2evbyZOjpdTmPbupMF6Y4Of8eT4eepcXRui7nqbL1mVlIMTmX2OxhbENMcnocq+RZFCIRUEQ7dsmLaepktDlyWpRryVdRxYpn2KM2VFLNRSth2w7ixXHSWqUm3G9pxcQkU54jq0W5GP8uklBZrISsXfeki91J2SigmTncSu2tyIZd9lPQUxT1FLKgYpNuZ7fYZB8GBtnyAtnyPAvFQU4v/DECFYNFQKxEkjGxyZX9BEQccvDWmDaDm22/9LJOubyyVGaP3cpLu7p4adf9VfgfJUzTxMCoCMyZ+l2uB8M0MAwDSRAXjUvhtvlxR2qoiUm2XLpLSAZAEoS7or33Q1jc7marvXvf3dpcfPc6+WyRIy/uoaEjDEB9ew17n+jlg5+cY3p4jt3Hu1nsjIjFpiKKIooq4/I5qG0JIsnSfTNwPt3S7k5Mw2To0hjzk1G+8FtPceDZXQDUtgRJx7K89t/e4+pHAxz7wr5bx2rsquXpbxyhY2/FAVrWyoxenWDs+tStTLObZTvyoh6EzWnBE3DS3FuPIAgYZpmF/BXGMm+SL0cwMCkZGTrcX8WrtuNUGpkovs3l2H9ElZz4LJ0oog0BaVH4SV0cj4gqOhEFBc3IYpo6iWI/8eINTNPAFEz2+v8RbrUFiY17npR1g8tDM+SLW9eALelpcuV55vNXKOopgDuM/KXngKKeJFeeJ1kaJqVNAKCKLkxMREHGo7aSK88zkztN2cgTsu1BFqzoZomxzNskiyOIgky+vEDZyHNzJrgTExMBARODXHmefHmBodRPmZROAuCQw+imRtFIY5MCi+2XBFTRUXFcVFkxVQO2ypan09mFIioMZPo3eyhVPifMLKSYjCQ2exjbEAGHHCRXjqIZOQA0I0dWjy0uGBpxKiH2+r5JjbWXm5HLyiJPoMP5NNeTr5IpL9Bg30/YugNZsOBWGnAoQY7X/C4uObyYeiUgCUvXpqmiHavoZjZ/dTGlTyKtzaKIdmySj5weJ61Fbo0ho81hk7y4lXry5QRh206erPk9BEQMU0cU5MVIwCgZraLGftO4Lq9DLdNyMXSDyHiUmZE5vMH1UUF+lLBKCkGLE5uk0p+a42CgGfuiwRAr5ZgvZghYnThk9db2BV2jZNx2DuimwWhmAc14eIeBKAjU2TzM5lPkyre1MAq6xkw+sbqL2wCiswk+efMyp1+/yB/+P//y1utlTUcv6+QyBQzDxO13sv/pnRx5aYB//y/+nHBLkMPP7+axVw7QvqcR+SH7YhZyRVKxDKIkUt8evuu9cHMAi00lOZ8mk7hd9tHUXYfVcTuTQFYkVJtKPlu85Txo7q3nyEt7efW/vM3/8pv/jq79rZz48kGOfmEfLq8DUZSpsx+j1nb4VsqngLBYqyrSYD9Bve2xu0wbQZARAK+l85YLxCaFOBT85wiCzETmHURBocf7a/gsPeTKs4ykf0a8NIBDrkOSNtaAvTK4tQ1Yq+TFqdRRZz/CvsA/rBiMpo4oKogPMGNschCHUotHbaXX+01AqGTeLO4XtO5mMvs+45m3scs1dLq/iohEtHidnBah3vE4tbZDTGVPcTX+J3ccWcBAx6DMTaNWQMSlNGCXa+hwf4mw7cAd3xfIaDNkyxE0MweYlPQ0Bf3zq7GxFlQN2CpbHlEQkQQJ8VP1IX2pG8yX5mmyNdHiaCVeinExcQGP4iFailE0isRKUSyiilWykdSSPBF8ElEQuZy4RE7PUTSKKIJCt6uHvZ6K5zan53h7/heI85U6qjZHB8eDJ+70xVd5hEllC0Si6TVtKfB5QUDELdcSsnYzkHqL4fT7GJSxih4EQcKl1NDqOM5I+n36U28CELB0sMvzFURBxqs2YmKiGXlU0YFdDiAi4lUb6HQ+w6X4926p/TbY9tPueopseZ4riR+yUBhCM/IkShO0Oo9TZ9tL0NLJQmGQd2f/d0xMrJKbevt+HEqIeGmMspHnw7k/Iq/HUUUHfksbbqUWw9TIanOcnPt9oFLnttPzJQKWTvyWNmKlUX4x86+xST5ElDWLwI5cneTnf3GSVLwieDM7Ok82mSc+n8Llu08tk2mSimWYGowAsOvLj34EddUIELa6ea62hx+OX6DG6mK3r55sucgbU9eZyiX4cuPeW5HAFqeft2f6+Hh+hIClcg/OREe5mpjBIT+8CJ1FlHmxfiffGzvPL2b7KJsGYHIyMsT15OyKjrlRmIZJqajRvqeJ4186SMe+e9P3GztrERfbrwXqvPzGv/w6z//a41z7eIhrHw9y6WQfh1/YzVd+53kc7uVrNpS18i0BxU9HaQVBAKGiYiwrt9O+rXbLp7pYCIvRstuIksih53fT3FPH2PUprnw0yA/+6C3e/u7H/Nr/7cv0Hm6viDgtIa4kIC/5nsTtsQiCiCRU7q3P0sFIeoDB1A9QRMeig0yhxnpgQ1voaGWdhUSGmYUU2gqzNzYCVXITtO6iqKc4M/9vKhk1psEO/7dxyvVEcucZz7xNejHKmtcXaHd/EYdcS9i2n9ncWU4v7icgsDfwD7BJfuxyCEV0oBlZwFxsZyPgUuoxMRhNv8lc/gJlI49DuUNjRRDwqu3M5s9yavZ/xWfpotf7q9jlGhocx5nOfcRY5m0EwK000+P7lUURqB30J7/HcOpnlI0C6jq1Xfu8sKYG7Ox0HIfDimuNhGQeRLmsMzUWpa7Jj7rC3nhv/OQC4VoPbV3hLdvKo8rS1FhruJ6+hkW00OxoIVPOMpwd4kt1X2EyP4lFtOJRvGhGCRGRsKWWocwgjfYmJvMT9Lh20GRvYjw3Rn+mjxZ7Jc0oXU7T69pBg62RoewQ0/kpkqUkXtW7uRdcZUOYjCSYi6XRjc2ta9yOCIKAJKh0uJ4hb4svpleJSKKKS65BRKHZcYyAtQPdqESfLJK7InKyuO8Oz5fQzDwuuQZpcWGoig7aXU+SLS9gLNaX2eUAoiBjlTx0uJ6h2XEM0zSQRQsOOYgq2VFEKz2elynoKUxMLJITpxyibBYRBQWXUken61l0s4gqOnEpYSRBwa3U0+l+llz5tofcrdQjCQoBSycW0UXJyCEvCoo45CCquHSf5uWiWhUcHgdTQxEmB2bIZwrkMwUS80mk+yhDmpiIokigzsuh53bzxNcPr3oMjzoCAkGrk68378fA4Bezfbw2dRVBAJds5dnaHp6qve0IeLq2m1gxy43ULP3XIlglhYDVwSuNuzm3MP7Q51clmRfrdzCdS3AhOsH56Dhe1U7A4uCpcBdnow9/zA1DAE/ARWI+hcvvZNdj9zpMZOV2erCsSATrfXgCTsLNIXYe6+Tdv/2Y/nMj9J8b4cAzO5d9aqvDgtPrwNAN5qdi9B6+rT8SnU1QLpVxeR1YbArpxOJwxc92OwuCgMNtw9pdR6DeR8uOBg4+u5M//9c/5MqH/QTrfdS31yx7nMvBLtfS6nqJkp5Z/KwEJMGCTQ4isHEKsPmixo3RuS0r3nQTUZDwqK0oopOinoDFwg67FEIUFLxqB6rbeUvVVxEd2KUQkmDBb+nBJgUoGenFowmLz+pKFL3WdhiX0oQi2m85Ii2Shw73V9CMDOJdWT7i4hEE6u2P4bN0YpgaqljpnyyhUG8/hldtv2MsTkRkBEGkzfXy4vgrDg1ZsFUUqausiDU1YC+cHqG1s4Zez8PLzz8sxYLG269f5uu/9hiqf2WXMTY0hyAINGyhhtlVlo9H8eJRPJSMInOFObLlDDbJTkANIgkSHsWNGzeZcgaLZMEluxjMDNBgNqCICrXWMB3OTkpGien8NHEtjoCAXbLRYGuk09lFupwmqcXJ6Vm8eDf7kqtsAKMzMSLxzGYPY1vjVupwK/dXBXcoARzK0s/coLXjntdEQcKp1OBU7p3sRcFGjbXn/gcTwGe5VwCsXC4iCCIWyUnYdm9/WkW0Vtr7qPfOZVbJhVVaWiF/NfhqPDz2xf107GliYTrOd/9/r+EJuug51E6g9j71UqKAalXw1Xho7q5b84X2diVocfFC3Q4OB1ruqyRslRQ63CF+ueUg/ak5kloeWRCptbnpdNVQY719f5sdfr7YuIfedB0pLY8iStTZPIRtbvZ6b6sI7/TWoYoSzY671fQ7XTV8tXkvTrkSWRMRqLd5+HrzfobS86S0PA7ZQp3Ng1O2sM/XhHMTo7CGUampxuSeGl1BEOg93M7s2AJXT/XT3FNHbWsITJNkNENZKxNq8OMNucmm8syOzVMu6fjCbqwOC/6wB8WiUMiW7tti71ZdsFmJ9t6JrMg099QxeGGU069fpL6tBn+th8RcirNvXUGxKHTsbUaSH84AjExESUXTKBYFt9+BJ+iiVNTQimWK+dKadWW461pEKx51+QKg60WuUOLq8AzGEl03thKK6MCjOoB7n+cOpQbHfeYGqDhILQ+IdDqUMA7l7pR0UVDwWe6dhz5rPwCbHMAm339+q0R4mx543CrLZ9UGrGEYZNIFRofm+Oi9PmanK701/UEnnb116LrBxU9GcbqsFAolcplS5b2eWkwTpiZiRKYTaFoZh9NKfZOfmloP+VyJ/mtT5LIlymUdl8dGY3MAt9dOPJqh7+oUH75zg9oGPz6/g5b2EOF6L/lciemJGHOzSUzTxOO109QaxONzkErkGB+ZJxHPYrEqJOLZdXk4VdkYREGk1dHGdH6aG+nrWESVXlcvklCZwGRRWRSHUVAEBQEBwzRupQ+Zt/7v5u+VYnyn7EIR1cWIkIQkyOgPEIup8uhgmiZjs3Hm4+nP3rjKtkUWrHiVRmRha6Vr2l1W2nc30barsdIb9LWL1LWFeOHbx2nbfe/CRxAq7coEsVrecCc+i53Hax5sICiiRI+nlh5P7Wdut9Nbx07vvQ6ZLvftRXOHK0SH696+yS1OPy3O20btzejkUsfc5at/4HjWg1JBo//cCFPDERLzaSYHZjF0g3e++zE1TQF8YQ+Hnt2FYlHY+Vgn0dkEN84M84u/PoUn4EIQoFQsE24OYnNa8YbcFHNFRq9NMXB+BJvTiqzKlAoaqWiGjr3NNHTe/txHrkwwdmOa5EKaqx8NklhIcerVc0wNzmJ32zjw7E68QTed+1qIzSY594urvPnnJ3F47OTSeWKzCXYc7WTHsc6HvvbEXJIrHw4Qn0tisVcEp3LpPKFGPx17m3EHVp9ZsRUxTZNsvsTV4Vl0vZptVGX7sQYGrEk+W2JkIEJkJokgigiiSEtbiM6eOsqazus/Ok9zWxBZkchli7S219DaESKbKXLyrWsUChqGYaCXDXr3NOL22CgVywz1zZKIZykWNUqFMkef6Gb/kVYSsSxD/bPEFjIM9c3gdNtweyo9ZCPTCT585walUqUvV1nTOfHsDjp7ZcZG5nnvzSvIsoTTbSM6l0bTtm7ef5WKKmRCizNbmCVeiqOKKlO5SYKWIIqo0mBrYL4wx0h2mFprLbsDe5d13Fw5T6Qwi020ESlEkAQJn+InVU4uVslU+TySK2pMzSWq/V8fcSqR1x2E2bHZQ7kvN9VYW3rrcfmdqFblrtq+KlXWkrJWZvT6FJc/6CObyt+qtx44P8ZE3wxNPXXse7IXxaJQ0xjgqV86QqDOy6X3+xi6NI4oifhq3Lh8DmyLPeYVq4In4EQrlpmfmkEv69hdNtr3NLH/6R13ZQvMji1w6WQf81MxDN2guaeeqaEIs2ML+Gu9dB9swxt0E24O8viXDmBzWrnw7nVmRudxeu0cen43+5/ZSV1rxYFgsSrseqyLxq5a1Dt60ducFpp66hBl8Vak1umxo1oVEgtpsskcggDugIvnf/U4e5/owe1/NA3Ysm4QT+cZnY7do6Zdpcp2YNUGrCxLhOu9fPmbR7h+eZKjJ7p47pV7jQirTeXEszuoa6ik2xTylUjp2Y+G+If//CUCIRdv/fQSEyPzdPbUEq738dQLuxAkAUyTP/6DXzA9EeWxp7rp3llPIOTivTev8fVvP0ZDU8W7mU7mGBueY2J0gd/5Zy8hCPBX/+V9xkfmsTtUpsYWKJcN/vH//YuYmAz1zW6L1InPM7pZZjAzwLXUVVJaCkmQ0M0yT4Sexq/4UUULFsmKRbRglWw45cpk45AcWMRKdMWQjMXtLDhlFwICNsnKcGaI0ewIqmihx9WLV/GS13O4FTeyWKl7sIgWXLIT5SEb2lfZnkxG4kSTObRy9blQZfPZ/8xOJEnE6a1qNFRZP+wuG1/+7Wf58m8/u6ztQw1+nvnlYzzzy8eW3MbldXD4hT0cfuGze7U//qUDPP6lA8s6d7DexwvfPs4L3z6+5DbekJvf+7e/ec/r4ebgPdfY0FlLQ2ctX1nW2R8dMrki47OxLa0+XKXKg1iXVblpmveoxDW3BnHdoThXLJaZmYwzH0nyn3//5yiL3uXuXQ0Ui2XmI0n++k9OUiqWkWWJvitT1Df6P3Vs867zZTJFZqbiDNyY5t/+Lz+6da6mthDJRGVRGqr1VNTqEAjVerDaNq9/X5XPRhFVjvof46j/sXveM00TwzQo6HlskpVWR9ut956uuf9E3O3sYTQ7gkN2cth/lC7n3SIUTfZmmuy3lRV73TvodW/NKE2Vtad/bJ5EOrfZw6hSBYBDz+/e7CFUqVLlESSezjMwPr/Zw/jcYt7VV/r+/7EV4+KCICAu0at5o1kzA1YQBMplHX2JmtJPG7QWi0xdkw9/yMXv/LMXCdV4MAwTWZHQimWuXZ6gVCzzG//oWURR4D/+H2/cdTMFQCuVMe84n9NppbbBR0d3Lf/4f3wFURDRDQOrRaGQ15ibSTI/k7z1rViIpGisCjhtW26kr3MhcZ6CXmCnZxe1lgfXMlWp8ln0j8+TSBc2exhVqlSpUqXKupFI5xmYWNjsYXxuKWhlYpkcc6kssWyeZD5PrqiRK2loZZ2yYWAYJsYWM2PbQ35+6fCuzR4GsKYGLLR3hbn4ySjD/RF6dzfw9Et3eI8F7qorVC0yDc0Bjj/dwzuvXVkU1DHZtb+Z/Ufa8PodROfT/PivT+N0WSkVy7hct/tjKRaZ3Qda+Js//RC3187xZ3rp3lFPe2eY6YkYf/0nHyCJIoZp8uTzO+nsqaOxJcjgjRn+/f/3Z3h8dgzduBX5rbL9aLI341E8mIBLdiEvI81XQKDOVs9zNS/gktdHSbTK9sM0Tcplg+GpKKls1YCtsrWIzyWZm4iSXEhTzJeW3M7hsXPw2a2xuKhSpcrWRNcNYsksI1PRzR7K5wLdMIhl81ydjDAwu8DIfJz5VIZMsUSxrKPpOmXdQDcMdKOixG1ishVLkx/rbH4UDViBE8/uZCGSRDdMQuGKbLWiSHzpG4eob/JXmkEvIooiLreNJ57fSWQ6gV6u+BnCdR6sVpWWthC/9J3HkGUJVZXp3tVAbb33lriFza7ytV89RiqRQ5ZFgjUuJFmkpt7LiWd3MDeTQBAqDatDYQ+KKtPSEeL5L+0jlcxhtars3NdETZ0Xp2vjGkevJ8WSxkIiRzSZJZ7KEU/nSGQKFIoaJU1HK1d+TEwkUUSVJZTFz9fjtOJ12vC67AQ8doJeBx7n+vfzXQ1O2Xmr5nW5CIKATbJhkzbu2nTDIJsvkUjliKXzJNN5Mvki2UKJXF4jVyxR0nTKuo6um7eyGERRQBQFJFGs3C9FwmqRsaoKNouC3aricljwOG34XDY8ThtWi4wkip8xoio30XWDXFFjIZFheCrKzEJySzd0r/L5opgrcfqNi5x/5xqRsQUKuSLlBwgP1rfXPLIGbDJTIJbKEk/lSWbyJDMFUtkC+UIJTTduzW+6XllLKJKELIsokoSqSjhtFtwOK+7FZ6bfY6fG70KVpXsyxKqsLyWtTCKTJ5bMkUjniacr9zSbL1EsldF0HW1xzWKYJrIkIkkisiSiyjI2q4LTZsFhU3E7rPg9dkJeJ26nFYtS1atYipJWJpHOMzWX5OLANJl8cbOH9EiTKRQZmotxemiCGzPzRJIZopks8WyeXEnblr3mk7mt4+AXzE83+qqybK4MzdA/Pk8yszzFUgGwqAovP96L3716UY6iViaRyjG9kGI2mmJmIcV8PEs8nSOVKZDMFEjnCpUJoWxUvDxlHROQRBFFFpElCVWRcNpvTu4VQzbodRAOuKjxuagNuKgPebBZlS2T+75V0co6iXRlYo6mssSSOeKpHMlsgdTioiudqxivhaJGfvGnsvAyb3ngwEQUhEUjVrx1vyyKjEWVsaoyVouCw6bislcWZW6HFa/Ljt9dcUIEPA5qAi5sqoL4OW6zYZoVNetsrkQic3vxm8zkSaTziwuoHFNzSa6NRFYsaiFLIs8f6aa9cWuWJbQ3BDi8owmHbWu1jrkfF/un6B+f37ILLLfDyq72Wnpb7+0DuJZcePcaP/iDnzNyZQKnx46/1oOsLr1ADzcH+d3/7TvrOqaNQNN0Epk8kWia+USGhUSWuXiGWCpLKlMgkyuSzhXJ5IrkSxrlskFZN25FMQBkUUSSReRF55/dqlaMHnvlmel1Vea5oMdBwOug1u8iHHDhdlgfKYM2kc5xbThC3/jcQ+23ozXMoR1NKA/ZV/XTmGbFKTufyBKJpSs/0TTz8QyJTJ50tkAqW6w4I4oaJa1cuZflSlTKMM1FJ66AJIkosoRVVbBbFWyL99TrsuJzV+a+oKeydqkNuKnxO1EV+XO1bjHNSjAjlStW5rp0nsSn5ru5WJqR6RijM7EVnUMUBGoDbr72zNat0X/haDe1Afeqv78rwTRNxhYSnB6e4KPBCS5PzjIdT234ONaDp3ra+IO/9/XNHgawTiJOnxcu9k/zg3cvMTYTX/Y+dqvK3s46vE4r4goiZaZpksoWicRSjM/GGZ6KMjwZZXg6ytR8ctltgQxDX4w0VRbrC4nsXe/LkojHaaO51kdbvZ+e1hqawz7qgm78HjtWVbnPUT9fmGbFYE3nCpWIdyrPQjLDzEKK6fmKQ2FmIcl8PENxBe2adNNcNGaXr4jrsluo8buoD7qpD3loqfdRF/AQ9DoqHmqHBXkTHugbgbn4eeUKJbL5xZ9CkWy+RCZXJJrMMR/P3P5JZIgmc+QKS6dkPgxl3eD1j26sybHWg5cf66W3NbwtDNhPrk/ww3cvMxvdmv14m8Jevv3ywXU3YM+8cYmpwVk69jZz5KW91LWG7spk+jRW+9a/t/fj5t9uIp1jLp5hZr4yv41MR5mcSzIRSZDOFTAeImJRMnS4I5simrxXnE0QBEI+B/VBD631fjoagzSFvdT4nNT4XThtlm3v/Iul8rxzbpAfvHP5ofb72tO76W4O4fc4VnTesm6QyRWZWUgyOZdkeCrK6HSU0Zk4swspsg/x3K04JwCtsmZJcv8okKpIBL1OWuv8tDUEaK/3U1/joS7w6K1bDMOkpJXJ3prvirfmvUQmz0Iie898l8wUKC+hU/NQ5zZNpheS/MF3P1iDK1kfuppCBDyODTdgTROG52K8frmf1y4NMDRXTdNeL6oG7AaTK5SIp3IUNR2bZfkGrGmaZHJF5pNZboxE+PjKGOf7JtdtgVfWDaLJLNFklvN9k1hUmd6WMEd2NbG/q4GWej9+tx1ZEh8pb/VyKJbKZPIV7/98PMvw1AJ9Y/P0jUUYm41TLJU3bWzpxcjE0ORtcYbmsI8dbTXs72mkuzlEjb8SZbBZtu9kXi7rFMs6pVKZolamWCov3pcSkWiamYUk0wsppheSi5kJGUrVns9VthkT/bO4fA6e+eYxnvrG0c0ezppjmialsk4ilScSS3NteJZzfZNcG55lPp5Zd/kS0zSZi2WYi2W40D+FqkjUBtzs667n8I4muppCBL1OHDZ1UyI5m0kqW2Q+kX1oA7bi1C0yu5BiYGKBU5dGOHt9gnSuuO79RkuazvR8kun5JB9eGkGVJXa0hzmys5m9XfW01PrxuW3bypA1DBOtrN+a50paZc7LFTTiqTyz0YrDfHohwcxiNl46W9yW6amPAvFsnh+eu8ZPL/Yxk9iaDthHhaoBuwnMRNPkCqVlGRAVz3SlhvKjy2N8960L9I/Pb3jvrmKpzMWBKS4OTFEbcPH0oU6+9vQe6oNurKqCINyrNP2oUGnXYy7WWBmMTkc51zfJx1fG6BudI53bmmmONxmPxBmPxHnj436awl6O723jmUMd9LaGsSgyoihs+XtnmiaGYZIvahiGSTSVZWouyUQkzvhsnPHZBBOROHPxNNXWzlUeFXLpHL5aD96Qe7OHsqbcTCvNFTQm5xP89OQ1fn6mn0Qqv+5GzoMoafri8yTOq+9fY1dHLV94fAdHdzUTDrhQZXnbR2SXSypbYD6eoaelZlnb33RGzEbTvH9uiJ9+cI3Byc1VuS2VdS72T3Oxf5qQz8nxvW18+cmddDWFsKryLU2VrYZpmhQ1HU0rky+WmYunb30vJ2bjjEcSTC8kSWe39trj80RFeAnevDLA29eHq8brBlA1YDeBmWiKXKFEYBmezUKpzMD4PH/2szN8cn2SfKG06Z61SCzN99++xDtnB/niiZ1849m9hLxOtuA8sCZoZZ2ZhRTvnBvkvbNDTEQS5IoldN3Y9HvxMJimyUQkwd/+4iI/P93Hsd0t/PoXDtFc60Pd4sIX5bLB6EyM//Ov32d8Nk4qW0mFMoxKL+DKv1tTta9KlZXiCbrRCmXyj5gydkkrc204wqsfXOXkhWHSudItfYatgmGaXB2epX9snuY6H68c38GLx3oI+z8f6vXpbIH5RGbZ2+eLGj//uJ+fnLzKjbEIpdLWynhZSGT46QdXOXVphBP72vh7XzlG0OdElrbewiWbL/Gj967wxkd9RGJp8oUSxqIT985/q2wdTCqiTT+5cJ3xaGKzh/O5YGuvWh9RZhZSZB/QCuEmk3MJfnFmgFc/uEYkmiJX2Nio61KYZsVTPR/P8IO3L9E3Nsc3n9vH/u4GnNu0But+TC+kuNg3yemr41wfjZDM5Ennimja1lpoPQzmYiQ5lszx3rkhro9EePFYDy891kNjjXdLeqOhouScSOe50D9FSStvK8dBlc8Po4MRZibjNLYGaWoN3vXe9ESMybEFrDaVvYdal3W8/U/v5J2/+Yj+c6N0H2zDV+NZh1FvLIMTC7zx0Q0+uDjCbDRFJl/cso4nwzApGmVGp2P8xWtnOX9jkheOdvPs4S4sixG8R5VUtsBC/LMN2HJZZ3Qmzh//5DRXh2ZYSGY3tYxmKSqaFQYLySy/ODPA0OQCv/LiAY7ubMa3BqKaa0mxVGZ0JsbgxDyarm/Zv48qtynrOh8OjBNJZh6qzlgQwKYoeO023HYLTosFiyJVROgWf7YSOxuWl5GxEaybAWuaJgW9wEhuhNHsKLFSjFw5h45Ol7OLp0NPo4iVFFrd0MnqWTRDwybZsMsP9zCZjqWwWxS8jntbowxHoszE09T53LSH/WtybaslEk0/0Bg1TZMrQzO8+XEfH1wcYXIuyVYUizYMk3g6z/m+SdLZAs8f6ebJA+00hX2bPbQVYZqV/ls3xuY4e32Cq8OzjM/GmY9XxA8eJQzTvKXi+eP3rzK9kOKlYz3s665/6PqgocvjSLJEfVsI1aquy3hNoGwYG546X6XKwzA8EOHq+XHc3nvnMF03GB2cI5PKL9uA3fdkL0OXxrjw7jViswl6DrXhr/Nhd1kRuNd4stpVOva1rPYy1hzTNMkVNN7+ZICTF4cXa1yztxSDtzpaWWchkeXcjUnmE1lujM3xy8/toy64OSqnG0ElhTj7mducuz7J99+5xNXhWTIbUOe6WgzDJJktcH0kwp++eoaZ+RTPHu6kpW5rrA+hMj+XNJ1StaXbtkHTDc6OTJIpfnZwqtbjpLcuRFdtiAa/G7/DjlWRUKRKa0tpMbVd3IIp7s51WuOthHUxYMtGmdnCLOcT5xnIDDBXmCNdTlM0ihimgSzIPBF8AoXKQtnE5HTsNJP5SVodrRz0HsStLL/m58zQJC1BL/vb7jVgHRaVgMuOYwsJ1swuphCbJvek3eqGwcdXxnjz4z7OXBtnLrb8FJ7NIl/QuDo0SzZfIp0r8MLRHjoag5+94xZCK1ciym9+3Mf10QgD4/PMxTIUta3nSV5LTGB6Plm5d9kC2XyRx/e2PZTA05mfX2H0+hRN3XW09tbTsqOBupYQorT1Hr5Vqqwn8WiGhbkUNse9k7zNplIqlZkYW74q5cevX2T02hQT/dOM35im/9wILp8Di+3+i4hwS5B/vMUMWK2sE4mmee3UdT64OMLwVHTbOqKyhRL943PMxdOks0VeeqyHXe21uByPRi/5OykUK71as4USjvssWiPRNB9cGuGNj25wsX962zgjbqLpBv3j85Q0nXyxxPNHuulqrnlkS6GqrC+6YTAwG33gmlGVJI53t3Cso4meuhD1Xjd+pw27Wvn7qn73Ho41N2BN02SmMMOp6Ck+in5EXIsjCzJWyYqIiI6O+akETEEQmM5PczZ+llgpRq2l9jMNWMMwSReKDM1GeefqMC0hL+lCEb/Tzs7GGkxgbD7OZDSJKsu3orPZQomB2QV03SSRy+OxWylqZayqTEc4gN2iMrGQYDqeoqwbuGwWmgIewt61q3tJpPOksgW0so6qSLc+N9OE831T/OCdy5y7MUlqG9U9GabJ8FR0USFP55XjO+hqCm32sB6KbL7ED9+9zEw0jb4GUvPbiWQmz8dXxihqZURR4PE9baiKtCwDVJREpobnGLo8gTfkpmN3I607G6lrC1HXEsIbdD2w9UeVrYGuGxTyGoV8CV/AeUusJpuuPKvsDgvqA3qQVgFDr8xt9/ucxMVaO+0h0isnB2YRRIHm3oZbrxULGsUlMnic3pW1PFkvcoUSI1NR3jozwE8/uEYik3+oVjhbEcMwiSVz/OzD66SyBVLZAgd7mwhusc9+tRimSSZfZCGRwVF7d3RyLpbm5MVhfvjuZW6MPlx/2a3G6EyMNz7qQzdMVEWmtX7rRGKrbB8M0ySSSqPpS0fND7c38q1jezjQ0oB7G7Sz2+qs+Wokq2e5krzCqegpcuUcjbZGaiw1eBQP11LXiBQj9+wjCRKN9kYGMgPEijEm85P0unsfeB4Tk2yhRN/0PFPRJFq5jCQItNb42NFYg2maTMfSvHN1GIAX9nRS63WRyOX5+aVBVFliOBKj1uuiWC7jtlkwDGgOenjj4gD5koZuGOimwaH2Rp60W9dMer2sG8SSObL5IqpixzRvitRE+as3znHuxiSZLa5suxSTc0le+/A6Ja3Md14+RI3fhSxtrRz++yFLIn63nbDfVUlt+5wZsFAR4Th/Y5JyWcfjtLGvqx74bHXp41/cj6/GzfUzw4xen+L0z69w8sfnaNvdxM4jHXTsbqSmKYA36MLlcyA9oil3251iQWNybIEbV6d44tkdeH0OCoUS1y5PUsiX2LGnkWDNo6WGu9bY7CqmCRMjC9Q1+m8pfBuGSXQ+TTqRw+lafrTuuW89Rjrx4DTOO3FsoVq+TK7IjbE5Xj91nZ9+cA2t/Gg9U3XD4L3zQyQyeYpameN72/C7HY9UFCVf0JhZSNFyhwGbSOc5dXmUV09e3fbG602m5pP84swAqiLxzef243PbqtlDVR4K04TsYpeE+2GRJb51dA8HWxpwVY3XNWHNDdix7Bh96T4y5QyNtka+Wv9Vdnt2I4syfzj0h/c1YAFqLDW4ZBeT+UkWip8tvS6JIvV+N986vpdrExEOdTTy9aO7bm8gCJzobQFMrk/N37WvLInsbAxT43GSKRQJe5zohkn/zDwmBh8NjPMvv/EcPoeVv/3oCsOzMXrqQjSHvKv4ZO5mPpEhmS3gc9vRdZ3phRT/4funOH11jEJxe6etLiSy/OyD61gUmV996SABj33LFaJ/GkEQsNtUXnliZ6WXa2J734OVUiiVuTo8y5+8eob/+e+9iM9tR/oMlcbGzloaO2t5+peOMDcR49w71/jkrStMDMxy45NhHG4bHXuaOPD0TnYd7cAbcmN1WLBYFYRt0MLn80KpVGZ8dIFXv38WURI5/FgHE6MLvPXaZaxWhabW4IYZsKoiYbMoWC0KpmHcpby5lUvsauo8WK0K7795lfrmAE6nBUEUKBQ0zn00xOx0gl37m5Z9vH1P7VjH0a4fhVKZy4MzfO/tS7x7bnCzh7OuXBqYRivrlMsGLxzrwfUICRnmCiVm51O3fi9pZT6+MsqP37/KlaHZTRzZ2jM5l+D1Uzeo8bn40hM7P5c97qusD5IoUuNxsruptmq8riFrbsBO5CeYLkwTsoR4MvQk+737l7WfW3Zjlazk9Typcuqzd1gFoiDgsVvIFUuIgoDDopIqFEnni4zPJ5mMJvlX33v7VuRwf2v9mhfTLySypBaFgSKxDH/71gXePTe0pufYTNK5In/x2lnqgh6eO9KFfwtFBpbCoso8f7ib7751kXg6/7mMwgLkChoX+6f4s9fO8ltfOrJshUZFlWnoqKGho4av/PYzjF6f5sxblzn9xmXOv3uDD396AZfXwYGnd/DkVw+y94keXI9Y2t12xuO189iT3YiiwB/9H28yeGOG/uvT9O5u5Gu/coSW9o0rCehsCnFiXxuTc0nS2QLpXIFUtkg6WyRfWtrLvdn07m4kMpXgT//wbc6fHqG9qwZJkZiZiJOIZTnyRBdPvrDrsw+0zbkyOMN337rA+xeGN3soG8L1kQjFUhlN1/nWCwc2ezhrRq6gMRO93c+yf2yeH757hUsD05s4qvVjci7Jn/70DAd7G6gPepCr2UJVlslNuyKZK1D+VD24LArUe91In5Me0hvFmhuwSS1JSkvR6milw9GxbA+WRbIgCzK6qaMZyxd4EAQBTTco6wamaS7fYyYs/tyBTVVoCnqo9Tr5n37pGXxOG6ZposoyjjWu4VtIZEhlC8RSOU5fHePVD66t2bEFoWKMOawqqiyjLNYylkplCiWNbKFESVt/dTvdMPkvP/oIu1XhxL42PM57Rba2EgJgsyg8faCDZCrPTHR9HSl3IksiDpuKRZVRZelWxForV5QI09kCpQ1s35MrlPjx+1d4bHcLe7vqsS9Dee7Tf3uNnWFEScBiU1EtCjc+GSadyPLx65e4ePIG9W01PPONoxx7eS/hpsB6XUqVZSIIAg6nhUOPdfDcjRk+fLePju4wJ57uoaE5sKHRiAM9DexsC1d6/Zom5h39D7WyTq5QIpMvkc2XyOQratqZXHHxtSLZ3OLr+dLi65X3i5q+roruTpeVJ1/cRW2jjzMnB5ibTWAYJr17Gtm5v4m9h1oJ1T5cKxzTNJkenuP66UFGr05S1nQOPrebvU/0YHVYKGs6hWyBsqbjcNtQNlmw8Oz1Cf7yjbOcuTa+IecTRQG33Vp5dioSoihiGAYlTaeolUllChuijDs+G+enJ6/hcdp4+bEHl0BtF3KFEjMLlS4I2XyJv3rjHH1ja582rMgiNouK1SKjKjKSKKDrBpqmk8mXyBe1DbmHpmmykMjy+//9ff7H33qeoMdRjcJWWRaSKNBZEySSzFL+lBKxYUK6UNyS3US2M2tuwGqGhmZoqKL6UErC5uL/BARElp9uKgCddUEujE4zOhdnV1MNXzjQg6brfPfUFa6MzzKXyjA6FyORy9Po9y55LKsi01rj4+md7fzk7PWKsWDC4c5GTvSsrbLjQiLLfCLDhUXRpvQKal5FQcDlsNBaH6Ap7KGxxkvQ48TjsmK3qiiSdKsGSxAq4hO6YVAs6YsS+Wkm55MMTiwwPBUluw4S+NFklu+/cwmvy8bRXS1buh725uf0zMFOzlwdZzaWWtN0Rb/HTn3QQ43PScjnJOh14HfbcdotOG0WZFlEFITKPUPApDKhGqZJuayTK2hEk1kisTRT80lGpqKVdOd16LlnmpDOFvnRe1cI+ZzLVpU2DZNivsSNcyNcfP8GAxfHWJhOoFoUTnz5IN0HW5AVmb6zI1z/ZJif/Jd3iM4meOFXH6epq3bJ4yqyREdDgH/5915cq0u8C8MwGI8k+NmH14in8is6hiJLfOXJXfS2htd4dGtDY9iD+zPUUouFMsMDES6fH6eju5ZELMuNq9M0tQYJ13k3ZqCAVVWW1BwwTBNdN9B1g7Kx+O/ij/6pfz/9vqbp5IsaFwemeOtM/5qrvIuSiNtrY9f+ZhqaAxTypYoTVJVxee04XdaHiuoYhsHJH57l/e+fYeTqBLl0HovNQk1zgJ3HOgALWqnMBz8+x6WTN3j6G0c5+vK+Nb2m5WKaJv3jc/z1m+e50DdFYY2fS7Ik0ljjpaXOR2ONl9qgi4DbgcthRZUrc93N+c68I+W8VCqTyhVZSGSZWUgxGYkzOhNnaj6xps/3sm4wPBXle7+4SNjvYmdb7S2Rxu1KvqgxG01T0nT+5ucXuDw0Q2YZPeyXwmqRCftdtNT5aQ77qAu68bpsuB3WSvsQ8c75r3IPy7pBoaQRT+WJxNJMziUYmYoyPBVd8+8YQKGkcfb6BB9dHuXJ/R14XRvveHfZLXzlyV3s72747I1XQDyd40LfFKcuj65of1EQaAx7+TuvHF7bga0hnU3BDf37kyWJox1NXBifIfspA1Y3DCLJDEVNxzBNxKpTZE1YcwNWEiQkQUI3dUrG8h90mXKGklFCFVWs0vJFLgRB4Nld7czUhygbBrUeJwCiILKjMUSdz0WprGNRJGq9LgIuB8/u7iDsdRJyO9F1A6sqo5V1dNPE77Dz4r4upqJJdKOil9wU8NxS5Fwrooksb3zUhygIDE1+ds3vnYR8Tjobg3S3hGiu9RPyOfA6bXicNhw2FZuqIMtL12/oi97pTK5IMltgIZFlLpamf3yOK0OzjM3EyK5ikroT04S+0TneOz9EwOOgp2XrNEFeisawl53ttUxE4sw/hIDKnThsKmG/i6awt2K0+l0EPHY8TitOuwWHzYLDpmK3KFhUGUX+bMXfm5GndK5IMlMgmswyF88wMDbP1eEZJiKJNW9P8cn1CU7sayfkcz7Q+CnmSsyOL9B/fpT+C2NMDMyQmE/jDbk4+OxOOnY30dRVS01TAEkS6d7fyr4ne3j7u2e4+vEg4ebAAw1YSRTwu+08e7hzTa/vJrpucGlwhnfODhJnZQasJIrs7qjjyQPtazy6tUGRJSzK0o/8bLZI35UpXv3+J+w92MLhxzsYHZpnZDDCu29e5dmX9xAKb76IkygIiLK0ov6bhmGglQ20ss7HV8aYY+3blImiiN1hwe5Yfa1T/9kR3v/+Gcb7pqlvr6QjX3q/j+KiYQygKBJ6WWdqcJbLH/RtigGrGwaJdJ6/+flFzvdPrcghez8sikRTrY9d7bW01QeoC7rxu+14XDbcdgt2ayVrBe4vNndT3b+olcnlS6SyBRKZPNFElqlF5+2lwWnm4xnKa1AyUiiV6Rub489+9gn/5JtP0Bj2bus+sWXdYGI2zr//m5N8eGmEhUT2oaNIsiTS2RSku7mG9sYAdYHKPfS6bLgcVmwWBYsiP3CNVdYNCkWNdK5IIpMnlswyG03TPzbPpcEppuaSa2bMmiZk8iXeOHWDrqYQbqd1ww0OVZHZ2Rams2l92hHOLKSIp3IrNmAFQcDnsq3bfLwWOKzqhmqvKJLI8a5mXr1wg0Q2T+kONWLDNEnlC1yZiuB1WHHbHr22W5vBmhuwLtmFU3aSK+eYzk8Tti4vGjGVmyJeiuOQHfgtDydj3lEboKP27hREWRI40HZ/71XI/eC6u7YaP2016yulnitW6gyBZU2cggBBr5OdbWF2tdfS0xKmrd5P0Od86KimJIrYLCI2i3LLGC7rBnu76tnTOcflwRkuDUwzNLmAtga1v4VSmY+vjFEfdFPjcy67pnKzsKgyR3Y1c2M0smwDVpJEQl4H9SEPdUE3tQE39UE3dSE3Yb+LoNeJVZVXlY6kyBKeRUdFY01lcaaVDca74uwdq+fqcOW+rWVUNpHOc+7GBB2NgSUN2L6zI1w/O8zI1Ukm+mfJpvPUtYR47AvtdO5pon1PE6F6P4rl9uPG5XPQ3FNHJpnn7b89zdj1B9dUCYKAvHj960FZ17Fb1VU5qgQBbFZly6fKL8XNNF2f38lLX95HQ3OAlrYQqkWmVNQor7EOwGYgiiIWVcSiyuu2uMnnSizMpUgnb9bR373gd7pstHUtb148+9YVZkbn2HG0g6d+6QjR2QSX3u+7axtZlfHXenF47EwObrywjmmapDIFXv3gGicvDJPMrMwBdCdOu4XWOj+7O2rpbqmhp7mGhhoPVovyUMbEzawam0XBZlEILNbc64ZBrqAxOh1jT2c910ZmuTo0w/RCatVzXq6g8fHlUTobg3z9mT2E/a5tnYYaT+f54XtXyBUezqnttKm0NwTZ0R5mR2uYjsYgDTUeHFb1oT8PWRIrmUp2C3VB911z3+7OWi4NTHNpYJrJucSaqV1fGZrl2kiEsN+14WsWURSwWVXWayZJ54qoD3BmfhaCUFlHbte5bj0QBYEmv4fndnUQy+YYW0jc9b6mG7x2qZ8Gn5sd9TWo29ixtVVYcwM2bA0TsoSIFCNcSV2hxdGCV/EiCvcuFm568mYKM1xPXydWitFob6TJtnyVxu3Mcj2+NotCe0OAIzubeepgB+0NgWXVJD4MsiTSWuenpdbH3s56upqCvHt2kIsD02TyxVWnWk3NJfnoyhit9QGe3N++5Sf0nW1huptD3BidI5O/fzTBosj43DZqfC5CfiftDQF6WkJ0NIYIeh0PjHatBYIgoCoSnU1BOpuCHOhp4KOmMd4/P8T1kQixVG5NznOhf4rDO5vpaAzeN5rw8RuX+ODV80iySH1bDUdf2sOe4920727Cal96saKoMrUtQVxe+5J9LatsHFarQmdPLbV1Huqb/IiiSLDGzYlneikVNTxVwa3PJJXI0X91ioufjJJJ50kn81htKuWyjq4b2OwqO/Y0LduAHbg4is1p5dDzezj43G4uvnf9vtvZXVZsDivxSHItL2dZZHJFzvdN8d2fXyCRya9qrpAlkfqQhz0ddTy2p5UjO5vwe9b+eyeJIi67hT2ddezuqGN4aoFTl0Y5dXmUgYl5EunVGeFFTeenH1yjszGIY7eK6zNS97cyhmk+lPGqyhLhoIs9HfUc39vKsd0tuOzWNc1i+/Tct6ejnta6Yd6/MEz/2Nyq0pxvki2UOH1ljK6m4JZ3ulfZfCrOMoEv7OlmNpGmUBokkro7w+fUwBitQS+SKNIe8mPfZL2C7c6ar7Cb7E20OFoYy41xPn6egBpgt2c3dsl+K6VYMzRS5RQiInk9z7vz73IjfQPd1GmyNdHu2JopeBuNIIDLbmVHW5hvPr+fx/e0Lqaaruc5BeqCbl45voNdbbX8yatn+OT6OIl0Hn2Vyp83RiOcvDDM/u6Gz6zF22w8Ths7O+q4PDTD5cGZW6+LooDTZsHlsNAQ8rC7o45DO5rY2VaL3apsqmFeH/Lw1Sd30dkY5IfvXub988Mk1iAaMhlJMDy5QLy3kRq/694NBOjc28yhZ3ex90Q3wXrfso9tc1iob6vBE7zPcatsKLIi4fU58PruNhj8AecmjWj7MdQ3y+s/usD48ByNLQHOfDDI3kOtGLrBXCSF12dnx57GZR8vHcviDbpwBx5sxEmShCSJaOtQE/ggymWd4eko33/7ErN3qNWuBKsq01Ln54sndvL0wQ7qQw8ndrVSBAE6GoM01/robQvz4/eu8NGVMeKrdADORtO88XEfQa+T3Z11W1r/Ya2wWRTaGvw8f6SbF472UBfcmJKD1no/tQEXrfV+/vYXlzh3Y4LcGjhFLw5M88T+dnpbw9s6FbzKxlHvc/ONw7sxDJM3rw4Qy+RvacvkShrfPXOFVL7IS7u76KwN4LJasCpLl0FUWZo1N2BrrbXscu9iPDfOQHqA705+lw8WPqDZ3sx0vpImOFec4925d4mX4txI3yCpVbzGO9072e3ZjVf1rvWwtiUOm4XH9rTw9796jPaG9amFWApVkeloCvIv//6L/Pu/OclbZ/qJJrOr8q5nciVujEQ4c3Wc5450AVv7D3ZvZx3Xh+u5OjyLQCWF1++2c3xvG08d7GRHWxiPc2sZ4rIssbernoDHgcNu4W/furDqlCoTGJmOMTYbv68B+63f+wKiJKKuwJvYe6idjj1NCFu8T3CVKsthYnSBYr7Eb//TF9mxt4l/8p0/5O//3gs0t4d4/82r3Lgyhf0hnhmqRUEv65RLS6snm4ZJLp0nlyng9G5cpMg0TRaSWc5en+Djq2OrOpYsiexoC/MPf+k4uzvqbtW1biSKLHF4RxN1gUoJyJ+/9smq1frfPz9Mb2uYxrCX4COewSBLInu76vnOywc5sqsZWdpYg89qUXhsTys+t4P/9H348PLIqtttRZNZhqeizMczG+ZQqbL96a0P8ZtPHsTrsPLd01eIZ/O3WuskcwX+5vRlTg9P8ExvO8/saKenLoQiiYjiopCncDuie3uFLKxr8Go7si6zRK+rFwGBV81X6c/0M1OYYa44h25WJoPJ3CQz+RlMTHRTx8Rkh3sHz4efZ6d753oMadthUWWeP9LNb7xymIbw5j04rarMP/rGcQRB4K0z/czHVyd6MjYb57VT13lyfzvKFldorPE56WmtobelBptF5cVjPTy+txW3s6J6KW1hj3pd0MV3Xj5IIp3n3XOD5FfpjR6biTExG+fIzuZ73rPYVp7OLskiklxt7F3l0aCQLyFKIs3tIQQqYoKapiMIAnsPtbIwl+b0yQGefmn3so7X0FlL39lhImMLmEssxtOJLAMXxpgZmePYF/av3cV8BoZpcmlgetUt4CyqzP7uBv75t5/eEqJHdUEXv/zcXlRZ5E9/9smqInm6YfDhxRHa6v08e7hrDUe59Xj2cBff+cIhuptDGyqecyeiINDVFOT/8s3jROJpRqaiqxbn6hufY2gqWjVgqzwUDT43f+f4AfY01fIXH17kZP/oXe9PRJP81UcX+f7Zq/gcNnrqQrSH/DQFvIQ9TgIOG167DaetEqGt2q73si4GrCqqdLm6+Lbyba6lrnE5eZnJ3CRZvSKIY1Dp2aqKKs32ZvZ797PLvYs6Wx2ysPGe162GIFQmgy8/uZO6kHvTJoOb7QgcNpVfe+kAhZLGL84MkMoWVnzMQqkinPHBpRGe2N++6YuVByGKIkd3NtNWH8CqynhdNpx2C+KiZ2wrI4oiAY+D3/7qMabnk/SNzlHUVp5eOBNNMTWfpKSV7xF/OP/udSITUZq769h17OFUCbf651ilysOgqDKSJFLIlnC5bfgCDhYiKeqb/FhsKoIA6eTyU1OPf/kAYzemePMvPyCTyiErMqZhkEnkGLs+TXwuybm3rnLx5A2CdV5OfPXQOl7d3dwYiXDq8igz8yvvl223KuzprOeffedpGmu8y1JjX29EUcTvcfDlJ3czG03zzrlBkpmVz3kDE3NcHJhmd0cdId+jl46vKhJHdjbz6184RHtjEFla3zKnByEIwq12S7/3q0/xv/6XN4jEMqvqvzk2E2cykli7QVb5XCCJIm6blcNtjTT4PHxxXw9vXhng3Og0yXylN3WxrFMs62SLJaKZHGdHprDIMoosIosisiQiCSKiKKBIErIoLrYK27zr2ttUxz99+cTmDeAO1sVaFAQBm2Sj0daIW3HT5ewiXU6TKWco6JWJQJVU7JIdt+ImpIZwK24UsVrQDLCno56nD3TQ1RQiG8/Sd2aIvrPDJKMZylqZpfJ4f+v//U38Ye+ajuXmYqI24OKV4ztIZwu8e25oxV5N04RoKsdbZ/p5bHfrpk52y8HrsuNx2rZ0tHUpZEmkMezla0/v4U/Spxmfja/4WCVNJ5rMspDI3uOJvvrxIKPXp1AtykMbsFWqPEp4/Q6sdoXRoTlqG3307G7gw7evk4xXnLeDN2Zwupev3Nl1sI1nvnmM93/wCW/+2UlEWaSYL/HRT8/Td3aYQrZIYi5FbWuI5799nLZdy6+vXQ0lrcy5vknO3Zhc8VygKhK9LWH+ziuHaa3zbynHoCyJhHwOvvn8PiKxNBcHplfcoixfLHN5cJpzN8K8/HjvGo90c7GqMj0tNfzWl47Q0RjclNTvTyMIAhaLwp7OOp473M3rH90gmlxZOzyAeCrHbDRFOlvY1mJcVTYeURRwWFSaAh7yJY3WkI/+2QXSheKtulgA3TDJFEpkWFp87ObzcY07ej40dnVtBWRXw7o+bWRRxq/68av+iuy5oaGZGiYmsiCjiioCW2fS2gq47BaeO9LFns468vEsZ39+mbf+6kNmR+eRFpu1L0Upv35KrqIo0ttSw4l97UzNJ7kxOrfiY+ULJa4MzTI+G6etwb8qOff1pvJ5b8/vpyAISILA43taOX1ljFgyt6Si8nJIpPPMRtP3GLDRmQTZZB5lCyxeqlTZTFraQ5iGSaDGjaxInHh2Bz/669O8//Nr6LqB1+/gyImOZR/P5XVw9OV9uLwOrp4aYHJwFlmR0Yoa+VQBd9DFzqOd7D7Rw67Hu7BtUE3+4OQCV4ZmmYutXLippc7Hi4/1sL+nYdOyjB6EIAh0Nod4/mg3C8ksgxMP16/9TkanY1wcmOL4vjZc9kejZEIUBOqCHr7+zF52d9at2T0sFjQmBmbpvzDGF3/jiRWPzWZRePnxHq6NzJDM5FfsaNHKOpFYmumFFD1VA7bKQ5AuFBmZj3FhbIYb03OMR5OkC8UVZQQYpgmmyWY3s1uLftlrxYatOAVBQJVUVLaO9b4V2dNZz8EdTQR9Ti6+c40Pf3yO6aEIB57bTaih0ktzKXvf/hCe/ZVgs6rs625gPBJnbCa+Yo+0bpjEUjk+ujJKjd+5pQ3YR4Gg18GhHU0MT0UZmJhf8XGSmQKR+yiNipKIxaaiWqsZFFU+39Q3+QmEXKgWBUkS6dnTyBPRDEM3ZtB1g46eOvYfbXuoY4Ya/Hi/dJDug21M9M8Qm01QKmgoFgVf2ENTTx2heh/KBrVkKOsGZ66OMzgxv2Jlep/bxuEdzTyxv33d242tlJsOwON727g2XDHWU9mVOQDTuSLDU1EGJ+Y50LMxUfL1JuCxc2x3M08dbEcSxTULRBRzRfovjvH6X55asQF7k67mEDvb65icS7KwzJ7u9yOazDE1l6SnpWZV46ny+cAwTabiKc6PTvHhwDhnhieZTa5Opb3Kvaz5zJEpV+oN7LIdSdi69Y1bEYsi8+KxHuoCLkRBYHZ0npmROfY/vZN/9K++jd1lQ9jk/IGGkIfDO5r45No4V4ZmV3wcTdN59+wgTx3swOOyPVRz+ioPz4GeBj6+MsbQ1MKKlRlT2QLziXtFvMJNAZLRDIn5NIZhrmm/vypVthNWm4r1DlEzVZV5+qXdyxZtWgrFIlPbGqK2NbTaIa6aSDTNhf4pZhZWVvsqCLCzrZbH97QSvl9bri1GyOfk8M5mhqeiXByYXvFxZhZSnL46zr6uBgRhe9f/y5JIT2uYFx/rxWVf26ikpunk0gXyK3QW3KRSDytxdFcz10ZmV2XAJtN5Ip+RbVDSyyS1HF7Vjixsfi13lc3BNE0mY0lev9TPqxduMBCJbvaQHlnW3IDtS/eRK+dod7bjlt1YJAuKUPEMV/+gl0aRRFrq/BzsbbzVI7WQKyJbJHY+3oXDszUaaYuiQEudn2cPd3NtJLJiY0g3DK6PRpiLZagPerZE7cyjTHOtn+ZaHy6bheQKRbhyBY3UffrK7nq8i8hElNEbU8QiCVxeB5IsAsI92dcCIG1h4a4qVdaTQr5EqVjGvYHtbtaaDy8OMxFJrDiVzGm3cKi3ib1d9Ws8svVjf3cDlwamuTI0i26s7Lrn4xku9E+RKxRx2LZ3GnHI52RvVz272mvv+36xUKKQW7qe70Ek5tOk4is3Nj/NzvZa6oNuLg9MrzhjIJnNMx9PY5rmkuvYhWKKn89e4ligi4DVhV2yoIoykrB20ekqW590vsh3T1/m1Qs3mE2urmtHlQez5lbDleQV3pt/D6/qZYd7B4d8h9jh2oFF3N4P7PXGZlV46bEeHHd472VFQlEU9FX28VxrQl4nB3saCHjsLMSzrFTfTzdMrg7N0FLnozawMQ3PP88013qpr/GQHFmZAVsoaaRz93rFdx3tQCtovP23H/OH/9Nf8fyvHqeuNbiY7n73xC0rEjWNgRWdv0qV7c6ZDwY5//EQv/f/+spmD2XFnLoytqp2aod6m9jZXottg1Ke14Kg10FXc4iGGs+KxfDKusFCPMPlwVmO7mpGkravUbO/u57je1uXVIe4fGqQt7//yYqOnc8WmR5deb3xp/E4rDTX+gh4HMyt8HubyhSYj2cwWVoRY6YQ5w8G3uA/Db7FwUA7T9Xs5FigkzqbD2Gb6mhUeXhevXiDX1wbqhqvG8C6hL0MDBKlBGdjZ7mavIpH8dDr6mW3Zzct9hZcytZPG9po7FYLzxzqxGZRbi36a5qD+MIern00wMu/+RSysjXSUgQBAh4Hzx/p5rtvXVxVUfeloRmO7WmtGrDrjCBAfchDbcDN9ZHIio5RKFYMWMM070r5/st/81Pe+f4ZYrMJyiWda2eGkZSb6tJ3f18bOmr4V9/956u4kipVti/ZTIGFyPJTb6+dHmTs2iRN3fX0HG5HUeWKAIgJP/3jd/jo1fPE51K07Gzg6W8c5ejL+9Zt7GVdZ2QqxmQkQaG0Mv0DURQ42NtIe4N/S8xly0UQBFpqfXQ3h1al5p7Jl7g4MMXhnU1s1zwUn9tGb2uY1rql7+HM2AKnXru0ouObpklZ06lrCa5mmLcQBIHGGi/hgGvFBqxumOQKGplsEfcSQmlN9iD/pPsLfBwdoC81TV9qir8Z+5Audz3HAp0c9LVTZ/et5lKqbGEM0ySezfOzS/1MxlbeWqzK8llzA/aJ4BP4VT+DmUHGcmMktATpcpqkluR6+johS4gWewtdzi5aHa1YRMu2msjWA7tVoaMxQG3AhXxHu5au/a0svBjjF3/1If/5f/7vHHp+N4F6H1aH5b5tXQL1PuQNEMQQBAG308rje1r5/juXKK9CFu3GaISFRBbdMJBEEcMskyhN897cH3DY/20S2iSzhRsIQJP9II32fYxlzzKa+QhZtNLpOkGdbTeKYCFS6ONi/EccDnybqdxFIsV+VMFOm/MYfkszY5lPGM9+glVy0+t5gZClE1Xavql8D0vI5ySwilR03TApaTpaWb9LeMXlc9C2o57mrtrPVNcLNfhXfP4qVbYSmqYzMhhBkkRqaj1YbSrRuRTzSxiopmkyNRalVFp+P+bLJ/s5//YVnvrGUXYcragXF/Mlzrxxidf+5D3ikSQIAukP+ikVNHw1HroOtK7F5d1DSdP54OIIyWxhqU5un0lnU4j2hsCa101uBE1hL51NQX5+un/Fx8jmi1xaTGXdPvHnu9nRVktHY/CB4ovlko6vxs3z3zxCc1fdQx0/uZDm4ocDjN5Yeb3xp6kLuqnxuYCZFR+jpJVJZQtLGrA+1cHLdfs5EuhgJh/nWnKSK4lxribG6UtN8dr0edqdtezztbDb24xfdSKL29WNUeXTaGWdD/pHmY6n0PTlLYpFQcBhUaj3eaj3uvDYrXjsVmyKgiKJyJKEvMU0RRr9ns/eaINYc2un2d6MV/HS7epmrjDHVH6K8dw4k/lJJnOTzBZmmchN0Jfuo9ZaS6OtkRZ7C7XWWqyS9XNpzLrsFna1197TxH38xjRnf36Fif4ZpoYiDF0aw+G2V1Iz7/Ol/kf/+jsE6jbGw2dRZdrqAzTWeBmfjaOtMM05kc4zu5AknS3iddkwTZOSkWEsewa75ANM0uU5suUYaW2etDbHdP4KhllmtnCDopFBEizU23aSLccZzX6MTfJQMNKktFnyepKCnsRvaWGu0I9uasxmb1A2Sxzw/zI1UtfafjBbGJ/bjte5OqVq3TDuMWAPPr2Djt3LU9a02Koq5BtNvDTHQnEGVbRSZ21Blbaf8bAVyaQKfO/PTiGKIt/8jcdpagtx5fw4b/7kwv13MGFuNok/4Fz2OcZvTFHIlVAtCqIoYhommXiWn/3xuyTn0zz3q4/T2FXH1Y/6Gbo0ztm3Lq+LAWuaJoVSmQ8uDpPLr6y2EWBfVz1hv2tb9tV2O63UBz14nFaSmZWVYRQ1nclIgrlYmrqgG2Wb6QEIAuzpqKW17rMdkW6/g/1P9NC1t/mhzrEwkyAZy6ypARv0OvGtsktDqayTzBZYaqZTRJmQ1U3I6qbNUUOHs5aD/nbGs/MMZSKMZOb4cOEG11KTNMxdo90ZpttVT7srTMjqrqYZb3PKhsGZ4Umyxc9+PoZcDnrqQvTWh2gJePE6bHhsVmyqjFVRUGQRWRARRWHLCZyq8tbRq1nzkSiiQsASIGAJ0OHoIKElmMxNMpmvGK+RYoT5wjzXUtfoT/cTtoZptDXSaGukzlZH2BomoAawrmCRZZgmhmkib8Gecg/CZbeyu+NeL2UymiYVy1DXVpFuLxU0SoXkkscpaxvXIUoSRZwOC/u6GpiLZ9DKK1MMNAyTybkksVQOr+vuCWa+OEi3+1ka7PsYzZ5mMneBslGk0b6PkLWTq8mfsVAYIlYcpdZWaRBfNjVmC9fZ4XmJJvt++lK/YDJ3iaKRocG2F5/axPn495jKX6ZdO07I0oEgbK/vy0qxWRQcdhVFltBWGDY3DPMeZ0VDR5iGjvBaDLHKOjCW6+d68gwBSx0+NVQ1YNcISRapqfOAya0eyDOTMabHYxx5ovMeZ6xpmA8VfQWIzyVx+x14Qm4EUSCfKTB2fYrrpwc5+Nxunv7GUVp3NWJ3WZkdnWfgwtiaXd+daGWdSDTN8FSUkvZw13ATURTY21mPz709s15kScLnttNQ4yWZWZkCv2maZAolhiajBDyObWfABjwOWusC+D8jk8cbctHWW48v5H7o/uBWu4rVsbaaKV6nDY/DhiCw4uyBkqaTXqYAoiopNDmCNDmC7PG2MJGb52xshA/n++hLTXEtOUHI4qbNWUOXq54dngZ2epqosbi3ZRBHLw9hlCcR5UYkefl9rh8ldMNgcC5K4QHPR0EQ2NtUy+OdzexvqaerNkCN27nljNTtwrqa0rIoE7QECVqC7PXuZb44z2h2lJHsCFP5KRJagpSW4nT+NBfEC9Tb6ulwdrDLvYt93oev5RlLxxlJxalzuAjbnHgslfYsW/mrcTMdt7Pp3vYIbbsa+eLff2bZx3J5HWs4ss9GkSQO9DTywcUR0quQvJ+aSxJNZmlvuFvcxyK6aHUcIWBpo2TkmMiep2wW2ef7GlbJTUKbIl6cpGCkMczKQ0NEwCp56HCewC77iJUmmCsMIAsW9vi+jCxYmSsOcDXxGkU9g04Z+XPSm1gUBKyqgt2qkMys0IA1zQcav4ZhUtbKlEs6iiojKVK1rc4mYpgGE7l+BjOXMTDRjJXVLla5F5fbxte/cgTM28ragijSuaOO3/6nL91rwJomr33/LKfe6Vv2ObRSGYfbhsVWSThNxTKce+caWknnsVf2E2oMIMkS3pAbT9BNdDq2dhd4B7miRt/YHIWStiLRPkEQ8LvttNb7cW7jLAyP00pz2Mu14ZW3kNN1g6HJBfZ1198l2rgd6GoKEfI5kaUHG97tOxtwe+14HiLb4CaqRSHc5Kdzb9NKh3kP1kXnrSrLFFfogCnrBvnC8p+fhmmSKeeZL6SYL6QpG2Xcio06mw+bpKKKEslSjnciVzgfG+ap8E5eqt1HwOLadqnF5dI5dO0yCk9/bg1YwzSZT2UfqAnTFQ7wK0f38GRPK0HXxq7XH0U2LBYsCiJha5iwNcwh3yESWoLBzCD9mX7Gs+PEtTiT+UmGs8NEi9EVGbAfzIzxH66e5kConhO1LewKhPFbbLhUC1ZJ2ZKRWYsi4XfbCd7H+GzubaC5t2ETRrU8ZElkR1sYm3V11TyTcwliyew99ZMetQ5ZtCIKEhbRjkP2YZd92GQvAFbJjSQq6IZG2aikbYiCjE9tRBJkREHCKjqxL+5nldzopoZN8iAKEmWzhGFoIG2vRcRqsCgydouy4hQ40zTR71PfoZXKZFN5EvMpEgtpcqk8jV21hBsDqFaFfLZAMV/C7rJV04g3kIKeJVaMkNOrTdTXGkEA5VN1gIGQi2JBQ10i6uR02fA8RAsdm8OCXjbQimXKms7CVJyL710nUOul90gHzsVjCWIltFRYRXrvg8jmS1wZnllx2zRZEuhpqcFltyBuwXl4uTjtFmqDqxMc1A1jVZHszaS3LbwsHYWWnjpaeh6u9vUmVoeF3Uc7aVjMPFsLBAGsqozDpqzYgDUMk9JnZC6ZpknZ1ElrBZJajv7UNGdig1xLTpLRCvgtTo4EOnki1EPQ4mEmH+NMdIgzsSH+avQDVFHmlfoDuMXtlaVg6lOIYh2itLJ7/ihgmlDQykvqgEiiyK8e28tTvW0EnNvr/m5VNiWZWRZlAmoAv9/PId8hcnqOs/GzfLjwIWO5ladAuVQLsijy+ng/Px3rw2+x8VR9G883drI3WIvfYkcWRaRFz/hWSNVwO600hJYuijZNE9MwMQwD8zMWD7J6b9uS9UQURZrCPvxuO1NziRXXwc4spIgmc/f84SuiDXFRq1EQJBTRhiLeTjOWkBAQMDEwuXluAVV0wGJasLi4nyzeTpuUBLmyn2lgrrgJ0PZEFAXkVaStmcCnv4aGYRCZiPL+D8/y5l98wOz4AoZh8uv/4su89J0T+MMeLp8aoO/cCEdf3EPvofbVXUSVZRMpjJPVU5+77/lm8cKXH+x4bWoLfqbQ2Z2EGgMMnh9leihCbWuI66cHmR6a4wu/9RRuvxNxsZa0kCuSyxRQ1bWXBjJNk2y+xPXhWYwV5l9KosjOtlqs27zft92qUuN7+Kjinei6wch0lJKmP7Cv6FakqymE17W+i29JEvEEnCuK3j4Ii6pgs6qQureX+XIwTPOB4jyGaZDXS0QKSX4xe4V3564ynY+hijLdrnp+tfk4T4d34VZsiIvrk2ZHkEP+Dp5MTvK/3/gxP5g4zROhXtzK9jJwDCOObHkcUVq7qPl6YJomZb0iGCoIa2sDCALYVYVkrnDPM14UBHwOGyd6WvA7VleLXeU2mzablIwS0/lprqSucC11jen8NFk9i26uvI7z5eZuDgTruRqL8M7UMCdnRvnpWB+vjffT4HBzJNzIsw0dHAs3YZe3hgagx2Gj/gEGbKmgMT8Rpe/sMLHZBLpusNRa9Iu//Sxu/9o+9JdDS52fkako8fTKJoaiViaezpHKFXHZb38lxfvUpgo82HsvICAK4l1p48Li/6pUFpLSGkdA5idj/OS/vsNbf/0xqkWm+2AbfWdHbr0vKxL5TIFrp4cwdKNqwG4gk/lhsuVq9HWr0NYVprn93nKRpTj0/G6GLo3x5//bj/ju779GLp3HG3Lxyt99GscdojSpaIZUNE2oce1Vvsu6QSKdY3Q6tuL6QVkS6W6pwbIOBvZGYrcqBL2rNGANk4lInEJxe6Xz220qYb9rW/XvvRNZElZVc2wYJuUHOOnHsvP80cCbXEyMUtA16m0+vtZwhOOhXrpctVgkFVWU71mJSIJIjdXNkUAn3xv/iLK58raEm4XN9S9AUGCLa2tnskXePdXPsYNt+DwOZHnt1oWiINLgcxPN5O6pg5UlkeaAB8sWEkB6FNjQT7OgF5jMT9Kf7mcoM8RsYZacniOn59AMDa/ipd3ZzmHf4RUd3yrJNDjc+Cw2dgfC/HrPfq7F5vhkbpLL0Qivj/fzwcwYYZuTA6F6Hq9tZre/Fo/FumlF1A6bSmgJj25iLsXpNy7y6n/8BYmFFOVS+d4FhFCJvNY0Bnju145vqAF78yNrDHmw29QVG7AAyUyBRDqPy35nj+BP35PV3KOqAQuAcPu+rRXn37vO0MVx9j/Rw1d++1nA5F9+89/ePqUg4Am4cHjsjH1KWTKtxZAECbu8daTZNwPDNIgUxpnIDRIpjJPQFigYOXSjjCrZsIp2XLKXkKWeOlsrYWsT1k+1gIqV5pjKD7FQnCZemidemmehOE26nABgKHOJPxubRhbvv8jodO7hhfC3kITqJLteyLL0UBkQe5/oJR5J8OGr54nNJOjY08wz3zxGuCWIpFSOk03lmB2dJ5cp0Lb74RRfl0MmX2R6Pom2in7foijSUutDVbZXbd+nUWUJp11dlRgQVASBktkCpU8pum9VREGgrc6Pw6qsOmqVzxaZm4wxMRghHc8uGdV3uu08/bWDqzrXnYiiuKoyskr5zNJ/A2ktz43UFLs9zTwe7KHbXUfI6sat2LGKS39ugiAgCSKqKGORlG3pbBfEjQ+crIREKs+f/M0pfvj6RXo6wuzb1cjunnrCIfeqSxtkSWRfcx2DkfsIOZmglQ1Mc2tkfj4qrOuT0zRNNFNjMj/JaHaU8dw4kUKEWClGUktSMkrYJTvdzm7anG002BqosdTgV1fuRZZEEZdqwamoNDg8NDo87AvUMZ1LMZKK0RdfYDgV47Xxfk5HJmhyetnhr+FQqIFeXwiHsrH1eXarSsBz/2Lu0euTnPrxWWJzSR7/0gFqmoL86A/fpHVXI607G0lG04xencQwTL72uy/g8m1OUXh9jQe7dXWfWypTIJnO0xR2ffbGVbYU430zCKLAvid72HGknWQ0fc9D2u60Yndamei/uw/fleS7RAqj1FhbabB1Eba2YxFtn5uHvGkaxEpzXEp+yFi2j7g2T66comjkKRtlTAxEQUYWZFTRik1y0GTv5FjgZZrtd7eAms4Pczr6c6KlWYp6joKRRzdvT6Q5PUNOzyw5Fq8SrCYaPwTJeI7/8G9ef+j9GpoDfOmby3PSOr12jr2yn9ZdTRSyRZweO/UdYZQ7ykUUi8LRl/fRurORhs61VwPP5kpMz9+/t+1yEEUBt8OKz227q8/5dkQQBFRZxm5Vya6y3jiRzlPStokBKwq01QewWJRVOUCjkSQfvXGZ0z+/QnwuTamo3ZNuKQgCFptKx+7GtTVgBWFVgoImYDzgCVlvD/C7XS/RaA/QYPPjUmzLFmNyyTaeCPXS5AjiV7eHMbgdcdhUnjjaRd/gDJ9cGuP6wCy1NW7amgL0dtXR0xEm6HeuaP2hSiLP7ezg7evDxD+VRqybBvPpLJpe3nZlA1uZNX9ympjky3kWSgtM56eZyc8wXZhmtjDLQnGBolHEITtotDXSYGugwdZAna2Oems9bsWNskR04GERFtWH/VY7fqudBqcbp2IhWsjRn1hgKptkOptiOBXjaizCufkp9gcrUdm9wUoh+kZ8xexWZUlRhMjYApGJKHtOdPOl334OX42bkz84Q+f+Fk589TCmYXLt40E+eePS2ofVHoK6oBv7KtOKktn8qiK4VTaPTDKPalUI1vmWbpmw+Peof0oEwy55ME2T8exVpvMDeJUaQpYmgpYm/JZ6rKL9kW1zVDY0FoozfBx7k770ORLaAqZpYJHseJUQNsmBJEiUjCJ5PUumnCRbTuFWfNike58ZdslFna0FrxK89dpEfpBocRbNLOJXa2i0dWIR71+D02DvQNyG3v/NQtcN5mfvaGsmVFrlxGNZ5qYTBGs9uD02JEkkly0SnU9jd1oI1Dycky5Y7ydYv7RTV1Fl2nc30ba7aV2mgUy+yMzCyg1YRZYI+Zz39DnfjgiCgCSJOG2WNTJgy8DatoxZDwRBoD7kwbLKCHrf+VFOvXaJyGSMrr1NWG0qb/z1xxx6uheP30l0Nsn8dByrTWXPsXVQs13H759fdfJc7R4U4eG/51ZJoctVR7urFkXY3lkKWxmX08rXXt7H2K5GxiajjExEmZyOMzYZ5fKNaVoa/bQ2BWhtCtLSGMDzEE43SRTpqg1yoruFVL7IXOq2s1g3TGLZHAOzUbx2G07r1v+b3w6suQE7lh1jMDPIZG6SsdwYU/kpNFPDJtkIWAKELCHqrHU025tpsbcQtoYXjc21fbCYpoluGszmMkxmkoykYlyPz9OXmCeva+wL1NHm9mOTFaKFHKOpOEPJKOPpOFZZpt3tR1lnKXOBSm9Ot/P+fRlziwbdjqOdtOyoqBFbHSqyIuPyOalpCmCxW+g/N8LP/+IkO452YFviWOtJyOvEukoDNpUpkMxUDdjtiGpRMHSTQu7+rZRM0ySbypFOZHF9Kl2+23UEn1rLTH6IueIoM4Vh5osTuGQfQUsTAUs9XiWMSwlglR4d2XnD1EmVY5yJv8XZ+DuUjDwOyU3Y2kSdrZWAWotDdiMLMgUjT66cJqHNky2nqbU241dr7zlmva0VrxLE4Haa27vzPyBTTqCVi4QsDRwNvHiXgXsnqmh9ZJ0F64HdYeH5L+294xWB2ak4/VencDqtHDjWji/gRJJFMuk8/ddmKOZL+ANrm2UiCEKlNGBNj3qbTK7ITHR1BmyN79HpdSiKAha1Usu4moyFmxHY7YAgQDjgQlllDd/AxQmS0TT7T3Tzyq8fR5RE3v3hOR5/eS9de5uJzaW4cLKPbDJPffvaqRBvBCYmhmlQBmRuG7GmaZLXSywU02hGmZDVjUO2It3xrBUEAVmQNk+U5nOCokiLBmqAfEFjfCpG/9AsAyPzTEzHOHd5nHOXx2lpDNDdHqalMUB92ENNyIXHZX+g/0MQBGyqwpf29RLL5DnZP0o8e3tNWyrrvHF5gLDHSVc4uO16QG9F1vzv5XTsNG/PvU3RKKKICi7FhUt2UW+rp8vZRZezi7A1vGaR1k9TNgzSWpFoIUckl+bc/DSnIxOMpxMIAtQ53DzT0M4TdS3sD9bjUFRms2k+jkzw2ng/b08N41BU/oe9x/Go6/sFk2URm0XB+gBhC1ESUe9Iz7U6rBTzpVvGgt1ppam7ju//n69Tym+OKITbacWqyquqC0rnSqRW2NqlyuYSbgkwMTDD0OUJdh3rRCuVMal8F7SixsJ0nMHL48QiKfae6L5rX5vsolneSZN9B0Ujx0x+iPHsVcZyVxnOXMQuu2mwddNo7yFkacalBLBJrvsKfG0nCnqe8ewAp2NvohklLKKNTtdeDvmeodWxA1W810NbNjRyegbD1JHu46W3So57jHyb5ERc3FYVbfiUGgKWtU8z/TxitSk89nTvXa/94meXkFWZL/3KHo4+cfd3vXvnLB++fYPh/lmefWXPss9jmibFfIlMIkc+U0lNc/uduPxOJEnENCq1eaZpIsnimrepyRZKRKIrFwJTJBG/x77to683EQUBWV79Z5zOFR7YU3srIQoCYb9r1TXMiWgap8fB3se7aN/VSHwuhWqVsVgVahp8dOxuRBQF3vzrj3nvR+fo2d+yRlew/uTLJYYysxT0Enu9rVilSt1rUstxPTnJ2dgwOb3ILk8Th/0d27Lf66OEzarQ0xGmpyNMNldkZHyB0+dHOXV2mE8ujvHBmSHqajzs6qln385GejtrCde4cdotD0xF39UY5qsHd2CYJh8NjhPL5G45ut66NkhjwIMoiDQHPdjVakvB1bDmBmxpsR+nV/VSY6lhj2cPez17CVvDqOL63qx8WWMqm+LCwjRvTQ5yJjJJydBxKxb2BGp5vqmTE7Ut1Dnu7uPW4PTwdYebFrePf/XJO7w5McA/2HkUzzp/t6yqgv0BPVRtTiuqVSEWSdx6zRtyk1xIE5tN0NARxjArLXby2cKKWxysFosi47BZVtUkvFDUyBU1EEAUFJxyEIvouLX4lkUrNtmLVbp972TRgl32oYoOBERkUcUhB1BF+y21YkW0Y5O8WMSbC3sBRbTikP2ooo2tIO50s1bCNCtS/eatH27/N9x67eY+JoBZ8fyai7+Y5mJU4NY+d7+eyhQe2Gh7Jew82sHAhTHOvHUFWZXp3NOMaZhkkzlGrk0xcm2Sj1+/hN1l4+iLSy/cVdFKg62LGmszDY4eLsXfZirfx9Xk+/SlP8av1rHT8wS9rsewy+5b343tSEJb4GrqY7TF52WzvZvHA1+g1dG75D6yqOAWfRs1xCorIDqXJhnP0tAcuOc9r9+BIMDo0Nyyj2eaJvlMgaHLE1w+eYORKxPousmTXzvMsVf2YXfZKJd1YpEEuVSeYL3vniyH1WCaJrmCRjSZXfExBEFAFkXmE5lHIuoQT+XWJGOspOkr7qu70QiCQMjnQFml4W7oBooqYXVUFleCKGBzWsllipQXo9H+sBtfjYu+8ytvqbgZREtpvjfxMefjI/y7w79Do91P2dD5JDbEX4y+z1hmHkWS+dn0ef5Z75d5qmYnPvXRySrajtxsqwMQ8DvZ0V1HJlekVCqTSOfJ5oqcOjvEx+eGaajz8ctfOsjRA624HA/uZ328qwWfw4bPbuP1y/0k8xXBtmxR409PnieSzPCl/T301IZQFRlVut0d4lFx9G0Ea27A1lnreD78PPs8+2h1tCIJ0oapqr0+3s+/uXCSqWylLqnbG+KV5h5ebOqkze1DkaQla7wEwKfa2OEL8bcjEYwNkDK3WRRslqWtZHfAicWmMnjHg7ypp46T3z/DhXeuUtMUIDqT4NxbV/DVeJA2USDD47Rit668SXi+pJEvaojIhCyd/N2OP0VAvGWIdjpP0O58/K7vUofzCdqcxxeb5Ig4ZD/NbYfu2m+394vs8r5yaz8RiR73i3S7n1/cbms8LEwgnS2QyORJ54rkC5XPI79o2BeKJUqaTkkrV/4t65TKZUolffH3yutaufJ7UdPRFl+7tc/N/15jr/+Owx2kYll+8Edv8d//7U8RBAG9bPDj//w2P/mv72CaJu27m3n+W4+x67Gu+x7DwCCtRelPn+Zq8iRzxTFCliYO+b9Ana2TfDlNf/oMb0X+hEQpwmH/F/Gq2yvF7E4y5QQj2Wu3fj/oe5qwdWv30Kvy2ciySLGgMTEyf48RG51LE51PP1QUyzRMXvtv7/Pan7zL5MAspmni8NjpPtB6q55cK2q89Zen+OBHn/C1332Bl/7Ok2t2PcVSmWy+tCqnVyyV489fO8tfvnFuzca1mZjwQDXa5VIq6+jbpGWKKIDbbl11CzaHy0YskiKTrKRWCqKAL+RmYTpOPlvEB0iyhCgKZLeZJkZGKzCUjrDD3YBVqgQmZvJxzsdGSGl5frX1BAd8bfybGz/m5Nx12hw1VQN2k9ENk9GJKCdPD3Ly9CDDo/OIksihvc185xtHaWkMEFlIcfL0IB+dHeZf//7P+Ge/8zxPHuvCu4R2zU166kL84xce4/GuZv7sg/OcGhwHIF0o8v1PrnKyf5T9LfU82d3K3sZamoIeFGn7O/g2kjU3YB8LPIZu6lglK7Igb6g3IaOVkASBX+ncy3MNHXR5A3hUK05FRREfXFgvCAImJjomHtW2IfU6FlV+YO1oQ0ctux7vZmY4QiFXxGJTOfzCHi69f4Of/fG7vPM3H6OXdbRimRd/40nsrs1rkGy3KqirUFMsaWUKRQ3DNCu9Sj/VT0wQRKRP9YC99zXhnm0+HaW7XW+9cca+YZgUihqz0RSRWIa5eJq5WIb5eIZYKkcqWyCVrURGdd1YjKpXIq83I7LGndHYO6Kud/7Onb+b5r3b3IzarjGiKLD/iR5C9T6ufjTI1dODLEzHMQwDb9BN9/5W9p7opnVnwz2pN2ktxmTuBoOZs0znBxEQaLLv4HjwlwhYGrBLHhRRxTANaq1t1Nk6uBj/BTvcx7etAVvU86S0+K3+rB4lQMBSu6S4UpXtQ3N7iCvnx/lvf/gON65MUd/oQ5BEovNprpwbI58t8eQLO5d9vNNvXOLUT84hSSJf/LtPo1gV3vizk9z5l2y1W6htCWB1WLjxyfCaGrD5okY2f//a9ofBME0MfXtEGzcKTdMxt0EEVhQE7DbLmjjIg3Vehq5MMDVcyUKQZYmO3Y2ce7+Ppq5aVJvCWP8MQ1em8GxCT/vVoJk6mXKeFkfPrfXm9dQUY9l5et31/HLTY6iizIlgL+diw6S03GYP+XOJaZrEElk+uTjGR2dHGByZI5sv4fPY+ZWvHuL44Q7CQTdulxVFlmhu8LOjs5bnTvTy7/7r27z+zjV6O2s/04AVBQGX1cLR9kY6avwMRKL85akLXByfJVsssZDO8n7fCGdHprAqMjZVpsblJOR24HPY8NhsuGwqdlXBqsiosowiSchiRU1bEIRNidZ6bBY6w/fX0dho1tyAdcib51F6sq6VFpeXeoebsM2JXVEfyhCttbv4je4DfLGlF69l/ReTiiyhPiClKtwS5PlfO04+U7il7lrbWsMrf/cZvCE3E33TWO0Wug628dJvPInDs3kLYKuqrCo9zDShqJXJFzWctu2t0BZP5ZiaTzI5l2BqPsn0fJL5eIZ8QaNQKld+ihpF7XbUdLvUQi2FzWmlpacef9jD3id6KOZLgIliUXD7HLh8Tqz2e7MNLsR/zkj2Ig7Zyy73E9TZO/EoQVxyAEW03lXrKgkSTfZeTkd/cld7mO1GySiS09OYGAgI+JQQFtG27et6q0DXznpe1g0+erePqxfGOXtqCEwTxSITCns4/kwvh4/fPwvhflx45yqFXJETXz3MM988xtiNKd74s5N3bSNKIm6/C4fbzvxEdE2vJ1/UyKyBAVvlXkplHX07GLCigMtuQRBWn97YvquBqZG5SovFUhnVqnD8lX1c+nCA7/7hW7z+V6fIJHMYuslTXzmwRlewMdwUDnUrVkRBoKhrDKZnKBoauzzN+FUnZdOgzuYlWy5S0DdHs+TzTDyZ43s/PceNgVlm51MIgkBrc4A9vQ10t4epCboI+p0oyu2Al0qlXlaSRI4eaOPdU/3kCw++d7phkMwViKQyzCbSTCdSDM/FmY6nb631dMMkd7N0jopQ2kQ0uWisShVjVar0LpZEEXHRYBXX4O9wNRxsref/8eVnNu38d/JIiZ41ujw0OD0rblZtlxV6fSFMNqYyUpbEB4pBWO0W6trujjJZbCq7T/QQbPARjySRVZlQg5/69vCmfqmtqrzq+hitrJMrlLaVAWuYJvlCiYlIkolInMlIgpmFFPOJDPF0nkQ6TzKTX3XLhe2AYpHxhz34w55l7+NX61BFKyFrM361HrcSrKSE3+e7LAoSbjnIPu+zOJXtWwtaNjVKxk3BMgGb7NzW9bxVbuNy29i1vxlfwMnUeIxcpoBpVgSfQmE3DS0B/MHlqxBPDMzi8jno2t9CY1ct0Zn4fbezOixY7Crzk2tvwH4enl2bgW4Y9/RA3YqIooDdqq7J+qJtRwOqVUWSFqNIokjnniZe+NYxzr93g8R8GqfXzs7DbRz/4v7VD34DkUURu2whUcphmCbDmQgj2Tn8qpM93ubK52dWeoKWTf2BPWWrrA/ZXJG33r+B22XlwO4mOltraG0K0FDnw+9dWmhOEAQURSbgdyKIwgPv3PfOXGF4LkY8VyCVL5C8+e/if2v6/YMVpgkFrUxhhWV4G4Xf8eDI80aypQzY+eI888V5rKKVdmf7Q+9fNgxKuo5VllfUAufml3ejzEBJEpFXkPPu9Njp3Ne69gNaBRbL6iKwAGXdoFTaHpHITK7IbCzNZCTO2Eyc0ekYE5EEU/MJkusglLSVmRqKYJomgTovNscSLaEyBVKxSl+02ubb6Sftzv0IgoT1Pn1NP42AiFVystf7HA7ZuyZj3xxuKm1V2Cp12FVWjyAIOJxWunbU07WjftXHK+ZKFS0Ex4OdeqZhYhrmmjsxi6Uyuc+INlRZGdvBeIXKd9qyRh0ZPAEnnsDdqcFOt41nv36Ypo4wyVgGp8dGU2eYps57W4VtZeyShWZ7kEuJMU7OX6cvNU20mOFooJNWRwiolPpEi5lKy5xqxs2GY7OqPHaone6OMDs6awmH3MtuAanKEl2tIV55dhfBB6S3//RiH+dGpymWt7Yh+iiwpQzYkewIp2OnCVlCKzJgJzNJrsfnCFjtPFZbkV/fyktDSRQf2CQ5k8yRimaQVYmaxntVLQHymQIzI3O4fA58YS/yKmXuV4oqS8tu+LwUhmFSNram4XezzjSRzjMbTTE8GeXayCxXhmYYmYqtWLzqUeCTt65gGCbHXt6Lre3+Bmx8LsmVjwYpZIt87Xeeu/V62dQwjAKiIKKKD+5hXOmVp2zb2tebSIKCcocie17PYpjbw3FT5cGkEjly2SIujw3HGvTkdnkdFLJF8qn8kgaPVioTiyRIxTL4a72rPuedlMoV4bcqn18EQJakdV1LBWo9BGqXn7mzFfGpDo4Fu/jTkXf52/GPSGl5ut317PO14lRslRRjw2AkO4dbsWGXt0+m2aOCz2Pnd379SayWh9fnsVhkDuxuZu+ORpQHOHTiuXzVeN0gtpQBGy/FGcuOrdgzeSk6yx9e+Ygmp/eWAbuVEReLsZdi7NokZxcVhr/yD5+/7zbzUzF+8O/foHVXIy/++pO4fJtTg3yzqHw1GKa5JuqOa42uG+QKJaLJHOf7J3nr9ADXR2ZJ56q1YQA3zo6g6wY7j3UuuU02mafvk2EmhyJ3GbDDmQuUjCLtzn0ELKuPWG0HVNGCTXIiUBGOS2jzlIwChmlU62C3Of3Xphjqi3DkRCft3auPILXtaeKTNy8xfHWSrgNtFHKV2nK9bFDMa5hmhrmJKFdODZCYT3H4heX3l10Oum58rrJJqtzLzTZIrEF0P58tUCqWUVQZ+xIOnny2SD5bxGpTsbtW7wTaKLyqg2fCu5nOxehLTdPkCPJS7X72eVtvbVM2dXLlIj2eBgKW5ZcSVFkbBEHAapHJ5kpkc0VKWrnSymoJk8PnteNeFEetpBFLKJsUJKpyL1vKgNUMjfIqxFnSpSKaYbAnULulI6/LZXo4widvXKR979LGuGmYpONZ3v7rU5z46uFNM2AlUXygMb4cDMPcUoslc1ENOJrMcuryKH/+s7NMROLbQnhjqyHJEojirfYJN5nIXQegzbm2C++tjEWy4Vb8WEUHeSNDvDRPrDRHyNKwrFTqh+Huv0gT2Dp/X48io4NzXD43xqHHO9bkeCe+eoi+s8P8/C8/IDoTxxtyY+gmyYU0AxdGiYzN8+GPzzF0eYJdj3fxxFcPrcl5b6JvsWdylY1HEFizFn1XPh5m9MY0zd21HHth9323uX52hE9+cY1dR9s5sY3qYEVBJGhx8Xu9X1pyG5uk8v/Z8y1ssgWruLzU1SpriYmmGXxwZpB3Tw0wOrFANlfCWOIZ99vfeYKvv7J/Y4dYZdlsKQO2bJZXZcAKAqiShEt9NFIz8umKAEjrrsYlt7HYVMItQa5/PICubV4aoiQKq249ZBhbKwKbzZc4c3WcH79/lQv9U+SLparxukLy2QLZZBaL7VPtkRCQRRX1c9ZCxiV7aXH0cCN9FoALiffxqSGa7d1reh5ZUBEXW0ZpRomcnuX+xQhV1gpVlXCsUeSopbeeX/rHL/Hqf36b9753Gr2sk88WeePP3uftv/kIo1wRAtr/9A6+9rsvEG5Z2/YG/3/2/js4sjS9z0Sf49P7RMJ7FIDyvqq9N+OH5JBDI5JiUJRdalfa3RuhCO1u3Ni7qzXSXsWuJOquqJVEccihHW96pn1Xd3VXd3kP720C6e1x949EoQpdKBQKQAGobjwd1TCZ5+SHzHO+73vd77Usa1vNyTtsDZX2c+un5+IwF9/vQRC4pwFrGhaTw3EyidwjZcCuBkkQCWkedpQPtoZcvsTbp3v4j392mmyuRMDnJBr23NNB476P9sAOW8uaDFgbG9MyMW0TTdq4D1i3dHRr7YIRAdVJUHMync9s2Ji2EkM3sSzrnqk2UGmh4HBq5DPFSirEFrERPakqNSLbw0AcGI/zk/evc+riAJPxDPnijhLnLYq5Ehdu3CAVz2BZNtOjc1iWzbm3rjKx0N/vTgrZItfO9DFwZYzOw81LHoto9WSNBKnyDD7l82FaCQgE1Aj7/CfpyVzAwmQwew2X5MGwdBpdu5CX8c7btk3OzFAws7glLy75/iloPiWIIlbm6PnyDKP5Xhpc90713mF9VNUEmBpPMDY4S03d+pWyZUVm94l2QjE/veeHuHlukJmRucW+4NGGMJ2HW+g80kJNS1Ul02EDMS0L4x6qmTvs8KCk4lkkWSK8glK92+vA6dGYHpvfxJFtPJZtUTR1dMtEESUckoIoiGs2XW3bZiaT41++8wGDc7fVyEVBIOb18L989WU0eVvFpLYd2VyJ19+9jiQJ/N5vPEFnezUOTbnnZxIOPXhGo0dT8T1CnTQeFNcqRa82gzVd7TczN7mUvETezNPuaeeJ8BOLxsuZ+TP0ZfvWNJieTM+6DNhdgQgHwjVcmpukPzVHkze45pY6m4Ft21gr1PvKC4XiqbnsPZ9j6CaZRBbVobCV5XO2ba9bVVEQVq4JftjcGv7pS4P8/MxNzl4fZSaR3VLHwFoRqKR9KbKEIovIsoQiSxRLOulckfV8VHrZYKx3inPvXmd+KsV43xQ2kEvl0Zbp9WqUTYr5EtVNEZ762tEljzW599KXPcvNzBkKZgafEkEUlk5LTsmDVwmtfcDbEIfkpsndxdHQ85xPvEvRynMzc4GUPkeNo5mwVo1T8iIiUrYKFK0CaX2elB7HJfk4FnpuVQZsnbMNj+xjtjROUp/lYvIUhq0T0+pRRA0LC90qo1tFfEqIZnf3Jvz1n13aOqtJzmf56N0eyiWDaE0AVZWW1A86nSqx2sCqz+nyOmnqriNcG6TzSCu5dAHDMJFkEbfPSTDmxxtwb7jxCgvidY/e9LfDNqVULCNJ4oq1rYomo2oyuUzhns/ZrpiWxUwpxUfxXgay0yT1HIZlIosSXtlJozvCycguapxBVPHBtt82kCgUuDY1Q1skxL7aSqmcKAh4NRVpG+91twtl3WRoZI7D+xs5vK+JxvrQhr9vf+f5E6Q/w72zo96tKVNcjjUZsEO5Id6fe5+SWWK+PM8T4ScWH+vL9vFe/L01DUa3dKx11GjVun0cjzUwnkvzh9c+5mR1I9UuL25ZuedFWu/2b1nKsWXZKxpHvpAH1aHSc3aA5GwaX9iDeMffUS7qzI7N0XdpmLqOamRl67xvprWyMb4aRLGSirwV2LZNSTc4c2WE771zmYu946Rzmz8JiaKAQ5VxOVQcmoJDlXFqCqpc6bOrKBVDVJGkhTZMS//das10+3sB+Y7nnr85xjvn+imV156qrzoUWvbUgyAwMzpHLpVHLxvUtVbhC99tVMmKhD/soW1fA3s+JfQ0WxplOHeFZHmGyUIvbjmAgLREL6TFfYADwef5LCEJEn4lzPHwS9jY9GTOk9YT9GevMlEYwqsEcYguBAR0u0zZKpI3MhTMHHXOFvYHHlvV60S1Wto8+0jp88yXpxkvDJA1UoTUGLKoYNsWhq1j2iZtnr07Buw6mZ5IcumTIfpuTDI0MEMo7EVWll7PTa1V/MrvPPlA55VkCX/Yi3+Z++thIgjrLw3ZYYdbyIqEaVgUC/cOVBi6SamoPxSHzMOkbBqM5eP89dgZLiaGyBiFxXY5hm2hWwbOeZX+zDRfrT9Ku7cah3S3w/de2LZNulhEEgRONjfwhe5di4EjUQBp5z5dFYZpEQ17cTkfjtH/eMf2F5D9rLAmi0cVVTySB1mQ0cSlxl/ZKlM0izhEBz7F90DnzRpZ8mZ+LUMCYDyX4mYyjmXb/FX/Fa7OT1Pn9uFVNWRh+cnwb3QeYndoa9pyWPbKBmxNa4z69mouvneNn//JKbqOtuELeZBkkXJRZ2Z0jrOvX2ZqaJav/u0XcW5A24a1YlrWuiOVorByW6GHhW1DtlDmQs84f/raWa4MTK3LwFsNmiLjcal4XBpel4bbqeHUFFwOFa9Lw+PScDtVXA4Vt0NFU2U0RUZTJVRFRl2IqMoLEdZbkVZFqvxOlsRlU7oty+aDS4OU1pERrTlVWk+0s+dEO9lUnsRMikKuxLO/eJzm7rqlTxZA1WTcPicujxPhUw6KkpnDIXmodlb6qtnY2BhLVAHtz6jwkCKq1DqaeSL8RXxykNFCH8nyLHkjw1xpCtM2ABtJUCpzreSkWm2k3tWOS1qdIaNJTvb6TmDbFr3ZSyTLcdILxiyAKEgogopL9mLYO/0+10uxUEaURHbtuX0fGMbSFNwHScktZItIsoisyIhbMDdKorBuAR9RFHA51B1D+FO4HJ+/qFkg4mPo+gRjvVMUssW79izlos7M2DzxyRSRmsDWDHKNJPUcb89c5UfjZ+n21XMo2ELU4UMTFcqWwXwpQ392mremL+NVHPgUJ40L/WFXS7pYwqHI+BwaXsdnN031YSHLIrXVAeKJLMWSjm1vfO/sHTaPNRmw7Z52ylaZjJ6h3XN3PZWERLWjmqOho8scfW8uJS/Rn+tfy5AAuDw3xZ/0nAcg5vKQKBVIlFZOQ/liU+eaX2+9WPeJWtZ31HD05f30nB/k2//79+k+3kF1UxTNqZJN5hi+Mc7kwAwte+t5+peOr1gr+7CxzPWnEIuigCRtvte1WNK5PjjFt378Ced7xh5KypwsiXjdGh5nxTCNBDzURf3URn3URPxUh72E/W78HieKLG1Ex4JNweN3UdsWW0wRrm+PPdDxB4Mvsi/w3IrPkYTPbl2PKIhUOxuJarVMFIcYzfcyUxwjpc9RtovYto0mOnFILvxKmJijgTpnKxGtZtWvUe1swi37qXO2MZi7xlx5iuKCo1ARVVySl4AapWUn+rpujj25i4PHV+5h/iAGYd/FYYyyQV17NdH60KZvtiRJRJbXZ2S5HSpHuxtwu7RtL1xjAzkjz1w5SZUWxiGtf8w2kCinKFolQmoAx0IP6F1NVXhcny8jpLmrhisf9XHpwz7a9tbT1FWL5lBAENDLBtOjc1w41UMynuH4C3u2ergPxFwpw1vTV4lqPn6n7Tn2+BuW9HotmzqDuRn+t2vf5aN4L0dCbQ9kwNpUDFgBgfFkmgvjk4iCgEdViXrceDR1xxi7g1LZuGtPKokixw82c+bCID0D06iKhNvtQJaW76IhS5Xyqx22J2vaGTa6Gml0Nd7zcUVUaHY386Wae8uJL0fRLDKaH13LkAA4EKnl9/c9/kDHtPi2rrbOsux7yncDuH1ODj23B0EU+Iv/40f0nBvg2oe9gI0gVOpI9j3ZxS/+/qvUt9fcFd3aTHTTxLTWFykTBWHTI7CmadE3Nsv337nCuZtjG3puURRQZQmXQyUScHOku569bbV0t8SoCnpQtzDleyPpPNRMMV/C7XtwJWFZVBcnoTsXm8/bQiyJMg2u9ocmsORVAuz2H2O3/9hDOf8OFTa6T+BP/sPb9F4Y5mt/90W+9LsrO3oeBpIoIovr+3uqgh5+7xcep6Vu4+vNNhrTNjmfuMZ3xl/jN5uept3ThLxMraJt29jcblO10nxlWAY/nnyb/twIX687RIv73l0FPuvsPdHGwNVxfvKt9/k3//QvOfRUJzXNESRZIj6V5OpH/UyPzrH3ZDtPfPHAVg/3gSiaOnOlDF+sO0yHt2aJ8QqgSgqtnhhPRrv5wfgn5IziA7+GaVkUDYNvnb3It85eQpVE2qNhvrK3i2faWtBk6XO3dt6L/uFZisWlWUW2bdPVUc2ZC4N8668+4uDeBro7agj4XMvO23U1AWKRB8sk3WHzeCg7aEVU1qROLAvysovFamn3h2l9QIN0K9OadMOkZKycTuYNunn8y0c4/PweBi+PMj0Sp1w08ARc1LXHqG2rXvBgbtKg70GxpFNeZxsfURRQNtmAnYineftsH29+0ruh5xWA6rCPJw608PzRDna3ViNJIpIgIIifLQn9A091gW0jbMDm1MZCYHtvcnfYYbOITySI1oeoatwahe6NiMBatk2xpC8pC9iu3BqigIB0j7KjW8/LmwVkJBRJQVphRrcX/gkISJ/zuS0Q8fLir5xAVkR+/Mfv88Zfnll0vNu2jdOtcez5PXz1d56munFjW0I9bARBQBMVPLJzxX2lS9bQFhSJHwRJEPjC7k7aImEUSUQURHrjcX52vY//6bW3Cf2Ck701MZzK9lGJ3Ur++b/5GcNjc3f93gYMwwJshsbm+f5rl+6Z8fZ3f/sZfvnLG9tbe4eN46EZsA7xwdNZFbFS67VWxEdMcKJsGJT1lWstBUGoqE16Xew60krrvkZs20aURBRVRlblbeFxK5YNdGN9EVhVkXE6Vi9qsF7KuskHlwZ54+MejA3sddjeEOGFY7s4sbeJ6rAPj7NSwwqfzcjiemrkbNtisjDAjcxpRnLXAJuv1/9jvEqYqUI/BTNDQI0R0T6/UYsdHi1SiRx9N6eYGkugLzO/R2N+nnh+lenagoDL60Rzbk16oCZLONT1bRMsy6ZQ1h8F+xUJkT3+DhpcNQQU3z2N2KJZ5LvjP2eXp5kuXys+5d416bIg8VzVSZ6wjuBTPA9r6I8EgiAQqw/ypd96iqPP7WGkd4q56STY4Au6qW2torY5gj/s3dKOBGvBpzjp9tdxIz1OyTTgU3akjY1pW1xPjdHoii70g30wXKrC7uqqRYOrMegn4nbxv/z8Xd7o6ac5FNwxYBd48ngbXR3V6zpHc/3no7Xfo8qGG7AHAwepddTS5H5wJa71RmAfNcq6uSqxIEEQQKiI52jOzTPwHoRiWUe/TzT5fqiKhMuxeZPvpb4JPr42wvT8vdsUrRYBcDpUvvhEN4/ta6ajMUrI50bdwHTC7cqVD3uJTySoba1i18HmBzp2stjPldR7zJSGUSUnE/keTFsHbAy7zEj+GlkjsWPA7vBIMDI4y6k3rnP2gz40h8zsVJpgxEOpqFMq6oSjXh5/rmvV56uqD5FLFyhkHjzdcCNwOhQ86+xpaNr2Qh/t7W/CCoKAU3LglO7tgLexKds6F5PXiTnCmPbKzk9BED73huudyIqMP+zB43dR0xyhVKgoCiqqjNOtVVoCPoKO3irNxxdrD/NHg+/w3bEz7As0Uu0IoIkKum0wU0pzOTHMSD7OyzUHcUsOZoqpu84TUj3Lpu0LQiVzy3FH6ZEmy1R7vVR5PYwl0+g7PZsXefW5vevekwb9rg0azQ4Pgw23Fts97TS6GnGssADci3pXPSdCJ/Ar925yvVpu1ahAZcG5FyLClk2W9zNgyyUdo2QgqzLqHYadbdnMTSaYGZ1DEAXq2qrxhtxbOunnCmVK94kmr4Sy4OnfrBrYfKnMR1eGuD44jbnO6KssiVQFPXzlmb08daCVxuogjm3U7Plhc+V0L0PXxznxyv4HNmBH8zfIm2naPIdRRY2JfM/iY07JS85I7aQU7/DIMNQ3Q9/1CZrbq2jrrOY//qs3eOHLB/B4Hdy4PEYhX8bxAE7Ioy/v560/O83Q9XE6j7YSrFr/2vgguBzquoWGTNMimSmsKI5n2zavTb9LTIti2AaTxRnSeha37KLN3chuXzuSKHGr+CJRTtGXHWYoN0beLOCSXLR6GmhzNxJQb9esmbZFX3aY/uwwST2NZVu4JAc1jir2+HfhlW+vm5/MX+J6uh/DNvHILh4LH6LGWbUkCjuWn+Js4jIzpXkmCzO8Hz9Lf3YYTdSIaEG6fe20e247738+fYrJwgymbVHtiHI4uIeY43ZqbErPcD5xDYCjoX145Nsb5rSe5eP5S2iSygF/N17FjWmbjOYnuZHpZ76cQkQgooVoczfS7K5/ZAw/QRCQFQlf0A3B7dNXcj0k9TwfxnsYy88xX85yKTGEX3UjCyKmbZHWC4zn50gbBc7Ee7mZHme5YqK/1/EKUcfq6i5tKg6igq4Tcbsemc9/M6itDtz3OZZlYxgmumEiiiKaKiMIm5spl9ULnE/0MZyb4dXaY+SNIjczo4zl5yhbOi5Jo91by8FgO86Ftkupco7h/AwjuWnmyxnyZgkJEZ/ios1bS7unloB622l2MTHAjfQo3b4GfIqbq+lhpgrzC3Odkw5vLR3eegKqe/GatO2FjIH0CP3ZCeZKaUqmjvUpe2pfoJm9/hbCWuWazRslejNj9GTGSZaz2Nj4FDctnmp2eesIqhvXCm7DDViPvHZPY6OrkZAaWnMasW3bpMslbiZnGcokKOg65n28vi/Ut9PkDazp9dZLsaxTWEHKe3Zsjp6zgwA8+8sngcqN1X9pmE9ev8zApRFESaTjUDMv/NoTeEOedbc8WAu2Ddl8qVLntEYcWqXf6WZNHANjc1wbmCaeXF/0VZZE6qsCfPGJbr727D58bse2FiqxYcNVlqdH5kjMpJddjO9HojSJJrrY5T1K3kwveUwTndi2jW5tTfRphx0elLmZNIZh8eKXD1DfHOHP/sMpjj7eTkt7FY2tUc6d7mcunln1+fac7GD4+jhjvVO8+WenaT/YjDfgQrmHg0zRFKqbNq520KkpeNdpwOqGyVwqv6JKvQ2cnjuPW3IRUv3Y2OSNImOFKfqzI7hlFw2uGlRRIVFOcTF5g/PJqwu1qiKJcpqJ4jRZPcf+QBdB1Y9hmcTL87w+fQrLthEFARubRDmNbpl0+paqRVvYGLbJeGGKscIUbZ5GYo7IEgPWotLPs2SVKFkldEunbBmVfs2WgfWpaKy10P+zJzPIYG6UZnf9EgPWtm36ssPMl5PEHBG6fW2Ljw3nxzkzf5F6Vw0H/N3olsFMMc7r0+9TtG71KBeYKc0zVZhFEASaPwMCUeWSzuTQLIPXJ3j26w/WyWIryRsl+rPTi8Zn2iiQNpZ2wXArDtyKg7lyhrny8vOAbi0fCLBsm5szszhkBa9WacGULBQ5NzbBfC7PV/Z24dpJH74vtm2TzhQZGJllcjpFOlOkrBtIkojbpREJeWhvjhIKujdFaLNgljif6OPd2ctUOQLMlpL0ZSbIGAVKlo6AgGGb7PE3LRqwo4VZ3pq+wFBuGoHK3GVaJkVL52pqmKer9vFkdO9in+HezDg/nfyYwdwUUc1Pb2acsqVj2CYZo8CV1BAvVh/iSLBj0fDVbZOLiQFenzpLxiggCSIlU2eqmGC8EMctOzgQaKXDrFs0ahPlDBcS/bwzc4n5chaBW04Wk6upIY6EOni6aj+hDTJit1W+rkf2rMsAzuglzs6O86e9F7gYn8KwTNLlErIooooSpm1RNA0s28anakSdHrqD0S0zYMu6Sb5YpqwbaOrdE8/ozUle/5NTKJrCs984CQLkUnne+auPOPPaRWzLRpIlrp/po6ohzNGX9m9JL1jdMMnm1xeBdaoKLu3hp0ffisx/eGWY8dnkuow5QYBYyMvzRzv45RcP4nJsfxl7215/u6PlcLg0nN4Hv/ZMTEQkxGVqzYpWDhsTSfhsLsq6ZTJVSDOUnb+t4C1AtdNLl399tTvbgflSjtFckkRpobd3pRKCY5EmXPL2LIVYL6ZpIUkigYWMGM2hkMsWMU2L5rYqeq5NcOPS6pX2R3sm0Rwq4/3TXHjnOi176onWhXB6NJZT7gtV+/ml3391w/4eh6bgdmmIorDmPt+GYTGfyq1qrh3Kj9HgquZ46ACaqHIjM8D3Jn7Oh3PnCap+Qqqf/uwIZxNXAJsv1jxLlRZmujTHjyff5uPEZVyyk2Oh/ei2zmh+ik8Sl/nl+i9ywN+FLMokyinKlo5HXhr5Ox46wJHAXj6av8AfDX9n2fHVO6uJ1UaYLc9zavYTToQPcTJ0kIDiQxC4q2b2leqn0S2Dvxz7CdfTfXedL6D6aHTVEC/NczPTT5evdTHT+nq6DwGBBmc1XsVNspzmk8RlbmYG+HLtC3R4mrBsi3PJa5xLXEEUxc+EAVvMlbj8YR8/+qNTj5QBG9K8fKlu/YI/XmV5NX/Lsjk7OkG+pONSFRRJJJ7L0zs7x66qCE+1NuNaZh+5w21MyyKbLXLqTD/vfNjD0EicYslAEITFfVFVxMuTx9t56kQHDbVB1HVqAKyGSvuuIqfiV/HIDprdMepcFUdXspwjovmWBPYMy0QSRNo9tTR7YvgUFzmjxLn5Xi6nBhEEgU5vAw13tGkqWzrnEr20uWvo8NbS5I4BApeS/ZyavYoiSoRVHwdVD7ZtkzUK/NXou4wX5nghdogDwTYEKtHcH0+cQRIEfqXxGVo9NTgllZKpcyM9yg/GP2SulOapqv00uasQEBjKTXFuvpcfjn+ER3byYvXhDXnftpUBu176UnN8d/Aqp6dG6AhEaPYGeG9iiKjTTYMngGFbTObSzBby1Lq8/FL73i1towMV8aNUrkTVMhNPYjpFZj7HwYVWOgB9l4a5fqafSG2Q53/1cSRJ4tv/4ge88e0P6D7RsSUGbCZfrIh0rMMucjtV3K7N2dQWijrnb44xm1hf9NXt1Di2u4FffH4/7nXWiW0WpmWtW2zr04Rr/KTns2QSuQduDO6TI6T0aaYLQ0iijI1NycqT1RMM565i2iZ+9cGavT8q5I0yp2cG+Y99H5LVS2SMEiVT52uN+/lnR7621cNbN33pOH8+dI6P40OUTJOMXsTG5icv/X2aPJ9NcQyHS0VWRBLxLP6gm+raACMDs4QiXiRZpJAvoT+AWvtf/V8/pf/iyOLPveeH6D0/dM/nN3bVbqgBK0siroU62HRubZkQumEyk8iu2PP8FvXOavb6O2lbSMPVJJWezCDnk9d4OnqcgOJlIDdC1sjxUuxJun2VtlNhLch8OcXr06fozw5zJLgXFqKzLsmJYRmULB237KLF3YAq3iPbR2DFTBJREFFEGWVhMykLEoooo0r3NhwEVm4S0OSqozc7RH92hLJZRhVVimaJ/uwIYTVIg6sWgLSR5fTceVrcDUS14ML7KRBRg7hlF5dTN7Dtr1Rec5s7UldC102K+TLmBq9TD5uI5uXLdxiwpmVh2CYWNgICsrC+llSCADGvh9cn+hmcS2BaFiG3iwO1Mb66r5u6gO+REjHdCkolnfNXRvnDPzmFDTTUBKmO+XA7NXTdID6fZXB0jj/97sfohskXn99LXU1wU8Zm2hbxUoqv1p3kULAdaQWV6r3+Znb7G1HFpfNOiztG2dKZKaUYzs8sMWABHKLKiUgXX6k9iSRK2LbNiXAnY/k4Q9lpxvJxDgbbMGyLRDnLuUQfT0b38lTVPto8ld7zPsXFYG6KU7NXUEUFVZQRBZHZ0jwXEwOM5mf5lcan+Xr9EygLmkZFs0xI9fEnQ2/w2uQnPBc7uCHlm58pA3Y4k+D6/AxHonX862e+hktW+Y2ff5tD0Vp+tf0A9R4/k/k0f9pziW/1nKfK6dnySECxpJPOFqgK3h15LuXLWJZNdVNk0Tt07o0r5FJ5Hv/Kkzz7jceYGY2z/8kuTv/oHHpx7Sm862EumV+VGNVK+DxOAt6HXzBvWTY9w9PMzmfXbcjtbavhuaO7qAptXE7/w8S27UrNxwYqLgPsPbmLyaE4A5dHefIrh+8rwnHnYy2e/Xw8/2NOxf+CsFaHaevcTH9ISo8znLtCu/coTa5Hq6H9anHLGs/V7KLFEyZVLvDd0UucmR3a6mFtGN2BGL+363G+2rCPG6lpvtX/MbOl1afPPopEoj48Xif9N6do66ph/9Fm3vzxJUYH41iWxehQnIaW1af4vvrbz5CcTd//iQv4QhsvFuR2qMTC3jUbsCXdYHQ6iWXZ93VwBVX/EgElRVCodkT5JHEZwzYomiUyeg5ZkIg5ljpBYloYRZBJ6VlyRgGP4mKPv4PHwof48dRbvDHzAXv9nRwP7afL24oqVtb+rTb2Gt211DljfDR3gf7sCN2+dnqzQ8yXUxwIdFPnjGFjo1s6o/lJ+rMjvD37IZ82i2NaGAsLcRtoBliWjW1ZIAhLypos07qvI6Nc1Cnmyw97iA+FW/s007aYL2eZLCTIGUWckkrMGaRK8yEKYsWp8YDXnSSKvNTZzkudD6dX+OeBVLrIn3//EwzD4u/99jM8fqyNwB396w3DpH94lv/93/yM9z/up7UxuiYD9tYl/qBTy9PRvTS5qlY0XgEkQUSkUlt9W+/HJqR68SluRvNx0nruruO6fA10+xqRFhwpgiDgVVzEHEGmivPkFlLedcsgXkxh2zZVjuBi6jKAQ1KJOQLY2CT1LLploogy4/k4vZlxfIqLE+HuhfIvY3G8Ec1HQPUwlo+TLufw31Fvu1Y+UwZstlzGBo5W1eOSVQRAlaRK1MkyEYCY08uv7TrA1flpfjh0g3qPn33hrUvXy5d05tOFZR+zsRElYVF5uJArcv1MH9H6EI2dtYiSgKzKeIMeUvHMusWI1spEPLWgMrl2/G4HgTWkoD4opmVzsXeS3DrH63M7ONRZz8HOug0a2cPHMC3KurnhKcS7T7RRLJQ4/ZML/Nt/8m2e+tpRqhrCKKp01wwuKxKROxaEakcrJ8NfpSdzht7Mx9g2nJn7EX6liv2B5+n2P05Iq93Q8W4XJEEgpLnwKw4sbC4kxrkwP7bVw9ow3LJGqzdCsyeMS1b53silz7wBu2tPLVU1frw+J4oq88KXDjA1keD8RwMYhsnB4y288tVDqz7f8Zf3Yz3AvP4wWo943Q4aqgL0jsyu6XjDrKQQp3JFHKqMJN17jNbChuxOKnHGCqZtYrHy+yEtREUBVEHhF+pe4anIMa5n+riYvM4fDX2HDm8zv9H0VTzS1gsIOUSNWmcMv+rlYuoGXb42zievEtGC1Diq0BYMbcu2sbF5teZpjgb34ZaXOnwVQd4WxivA1TP9nH7tEsGIj1/+By8u/v6nf3qa6x8PrHhsIVdiYmht19pWY9oWk4UE/3nwXS4mh0jreawFp41LUtnlreU3W56hzVuNY4Wo/Q4Ph7JuMDQ6x5MnOtjTWYPvUxmLkiTS2hTl6ZMd/Pzd6yQz+U0dX0Tz45Tun82XM4r0ZSf4MH6dwdwUST1LwShTtMpk9AK1ztCy+zyf4sKr3B0okkUJGxZrWSVBrKSyCwKJUoaSeTs4VjZ1EuUsAgJh1bc412aNAkk9y1Bumv/q3B8sOmpuUbJ08kaRsOYnYxTwKi7Wu1xtuAFr2uail3WlRuAPA5tKL1iXrCymUrgkhaJhkDf0ivKdIBBQHRyI1PDayE2SpeWNx80imy8xk1h+U6e5NGRFZn46hWmYnHvjCvGxeZ795ZM0dNYiCAKWaVHMl7a0Q8FkPEVhHQJOAH6Pg+CmRGAtrg5Mki+sz4Dd3VpNV1N03T0SN5NcobxuR8Ny/OSP3uPd733C1HAcvaRz/ewgqqYspr3fSU1zhH/y7/724s+yqBDR6nHJPjq8xzCsMhYmiuDAowRwSX6kdfSG3s4IgoDE7QiF/KkJ/1Gn0pe7sgZoovS5SG/zBVx4vA5ESUQQKj//4m88zotfOoht2/gCLiJVq1MYBbZF2zSvS6NunerHumkxOjVP0OvEuYLQYErP3CFQBLptMFuME1D8yIKMU3Lgkd2M29PMluYXU40BZsvzmFh4ZVclRXih6NotO9HEGH7FS6enlY/nL3M5fYMrqV5OhA48cBRAQKikvyHcJdq0FgRBoP+AuCoAAQAASURBVNoRpdYR41q6l5xR4Fq6jwOBbqoc4Up9HjaKKBPVQuSNIlWOCBH17sjQVkeTbxGfTHLlo35qGpdmG/RfGeOjN64sjHP5sVqWRbmkE6vb2vKuB6VsGYxkZ/mXN3/EcG6WmCNAh7cGl6RSsgymi0kuJoeYv5nlb7e/xJ5Aw5LI1g4PHwEBURQJBd04NOUuh58gCCiyhN/nQlXlNUUIp5IZ/uLMZTLFEt21VXTVRmmJhpa0P7oXlXTclV9zrpTmrekLvDlzEQmR3f4mwpoXh6RSNMucjl9fNvp66/zqMvspAZYYvIooEXUE6PY1cC09zOn4NYpmGQS4kOjnRnqEI6EOgqoHeSFabGJh2jZ+xV1JEb7H3+GVnXgU54bMVRu+M/wg/gE92R5a3a08V/Xcqo+bK81xMXmRtJGmw9PBHv+Dpw1qkowqSiTuMEpDDhdzxTwz+SzckXHklGSyehnd2to6i2y+xPTc8gZstC6EN+Th9A/PgW1z5mcXcfqctO5vIhirbCj0ks78dApv0I24gmf7YTIxm163YeTzOPB7lhcv2Chs28a0bIYnExTXITgFsLslRktdeNtsGFZDJl8it07DfTlsy8YbcON0a9j3EXpxeZd+xjkjhShI+JUofiW6pOXVbTl3C9M2MG0DTdrpywZQNg1Gcwk+nB1iNJcgb5ZxiAr17gD7g3XsD9UtpqmVTZOfTVznUmKc3YEavt64f9lz3kxN8/2Ry5hY/IPOp3Er2uIilC4X6c3McDY+ymQhhWGZ+BQnbb4IB0P1NHvCnwsD9X7IsgTybcetJAnUNoSobXi0NuN34nVp1EUD6zqHaVpcH5xmV2MVzhVajI0XprmW7sMru9FElZ7sEDezg+z3d+GSHEiiRLO7jtH8JB/PXyKiBglrQebKCc7OX8Yju2jxNCAKIiWzzGhhEt3SCSg+HJJWqRkTbMqmznIGlG3bixHeldrvyaKMT/EynJ+grdhU2RgLIqqo4PhUBMVe+G+lc0bUIM3ues7MX+K9+Bkyeo5WdwNhNQBU5kKv7OF46AAfzV/kYvI6u33tuCUXRatEzsgjCxKtnsaVPoZNo+NAI9/4ey/cNd8X8yXqWqo49sJuorXL3xOp+SxXz/Qz3j+zGUPdMBKlLG9OX6Y3M8kvNJxgr7+RkOZBESVMyySp5+nJTPKXw6d5Z+YaIc1Dqye21cP+XKGqErtaq4jPZSgvswe8ZcNNzaQIBdxr6gN7bXyG030jjM2nODs4TtTnJubz0BQJ0loVojUaosrvWdagXcmxc4vezDhn5m9SMst8rf5x9vqb8chOFFFippikJz12TwNWWGXdqSiI+GUXv9r0HH889AbvzFziQnIATVQAm72BFl6MHcZ7hyHqFFXcsoZlWzwZ3UNI9S7rAJBFCa/sZCPc9RtuwPbn+jkdP41hGQ9kwJatMjczNxnMV9rGrMWADWgOvIpGX2oO3TKRBZFWX5jXR3t5f2qYsNNFxOFmtpDjXHwCRZRQtrjlSSZfYuoeBmxjZy37nujkZ//5Xd740/fRywbP/spjtO5tQNUULMsmm8wzenOChs5alE2OBt6qqRydTqzLMFIViYDHidf9cIWQLMsmlS2QyhXXlW7tdWk0VgcJ+bY+/exBSGUKa65jW4n9T+6ivn11C7HjU5/xQPY8quik0b0HwyrjkNzIwm0156yRZKLQy0ShF8u2CKoxdnmP45S8iPepE/msktVLXEtO8d2Riwxm5xY2z6BbFpcS41xJTBIv5Xi2ugNJEBAEmCykeGeql8l8mmer2wmoSxfmnFHmSmKSH4xepsUbXhAeqTBbzPLR7BBvTN5kPJ9EXaifKZkGFxPj9KVnebG2i0Phhs9UBHktxGfSpBJ5ghEPofDSetTkfI7EfBZFkah/wFY3pUKZ5Gya2bF5sqk8hm4gKzJun5NoXYhgzP/QorVup0pNxIemymvWOjBMk8t9k7x8souVKsr8ipfZ0jzvzp6hZOmk9QwRNcjJ8EE8cqVmqt3TTFrPciXVw+szH6CJ6kJbmzIHAt20uStGnGGbzBbnuJbpAwRkQcK0TXJGnl2+VppddYsbrKHcGAO5UeZKCUbyE+SMAqdmP6E/O4JX9nAw0E2NswqobDI1UeXJ6BGGcuO8NXMan+Kh2hGl09tKg6sGy7YWW+ekjRzX0n3MluZ5e+ZDbqT7F/rMHsarVNYQp+Sg2hElpPp5c+ZDYo4IMUdkMX0YwKu4eSx8iISepiczwGh+YlGZ1Ck5aPc0sbQx0NZR1xKlpimy7HxQ31bFk186RGPH8qVbsxMJjLLx6Bmw5Rxn5vtp81bzcs0BGl2RJaJNpm3R7q3hWnKU66kxnoh27hiwm4zH7eDV5/bws3evc+b8ENlciVDAjapImJZNNldieGyOvsEZWpuiRMIeUunCXW4nj0utOCuX4cLIBFPJDHPZPHPZPDcmZ1EkkZjfS33IR30wwIt72zjUVIvH8eB73ngpRbyUIqz6eSy8m6jjdnZMb2ac5D2M1wdFEAQCirtSeukIUueK4JEdBFQPze5qOn31SHeULEQdAeqdUS6WBpguJtjrb0a+o3c3VMogLNtal5jZnWyb3DyH5EAURDJGhqSeXNM5at0+OgIRhjMJioaBW1E5FK3lg6lhTk0OkSwVqHP7mC3k+XBqhMerGwk5tjaiky+WmU1kyRfLd/VBjdSHOP7qAUzDZGpwhqrGCE/9wjGiDQuhZNtG1RSau+voOta26QrEtm0zn84xPZdZl4hTyOci5HehPeSeW7ppMj2fwTBWrwK6HLVRP2F/ZdJ7lIincsynNr6mo3VPA617GtZ07HDuCnkzQ1KfoWwW8CsRmjz78cgBJEFmqtDPtdT7zJcnUEUHg9mLOEQ3zZ79OKWNF6zZ7pi2xWguwXdGLnJqup/na3bR5Y/hVRykygUuJsa5MDfGbDFDhy9KrcuPIkrs8lVR7w4ynk9yPTXNY9GWJeedLqTpSU9jA09WteGQKnORbplcmB/jB6OXmSqkeTrWTrsviiKITBbSvD8zwNtTvZQtk0Z3iIjj0XLqbDSDPdP0XJ/gyGPtdxmw6WSeq+dHsCxr1QasbdtMj8zRf2mYvgvDjPVOkoxn0EsGiibjD3upa6+m/WATHQeaiDVFNjwrRJFlwn43dVE/gxNza1KbN0ybm8MzpLJFYiHvPfuVN7pqqXZEyRkFylaOqBaiy9tGu6d5cdMT1UKLNaA30wOkjSweycWJ0EG6fe2EtYqJLAsSES2EJ+8ioafJWwU0SaXJXU+3t40a522FzrxZYKY4x3QpjiiIHA7uwcJmsjBLXi0uSWuGijryC1VP8NH8BaaLcTJGnoBZWpKGlzFyTBXjpPUMITVASA1QtnTGC9MEVB+GfXvNFASBiBbkychRrqf72effRVDxL/ksVVGhyV3Hl2ue51LqBlPFGXJmAYeo4pHdRLTNUUtdDYIgLFvrXFUXRFFlXCvoXciKhOp49OpDi1aZmWKKV2sOElI9d23SJUHErzjZ7a/nh+NnyRk7/c23AsO0iM9n+cmbV7jRN0V1lQ+HpmAYFsl0nuu9U8zOZQiHPFy6NsaVGxN3leg9/2QnsejSUhDbttFNixsTsyQLSz9b3bQYm08xNp/CoUzSFAmwv6FmTeN3yQ5ckkbOKDKUm0K3DUzbIlnOciHRz0wxgSKu//7RLZPziX6S5Sxfrj3BU9F9eO7R4gmgxhFib6CZnswYP5s8h1d2EtUCqJKCaVvkjSJFU8ejOOj2bUymyLYxYBVRQRIldEunaK7txq73+HmpoZ2bidlFpbt94RhP1TTz/aFrvDc5hGFZqKJErdvLV1p2U+defT3Sw8AwLRKZPOMzKdoblm5qJEmksbOWxs7lRWwEQaB+VzW/9z//Gk63A0Xb3I/TMC1uDs2QL+rrKsGtrwoQ3oRopmFYxJO5VbVzWInaiA+P69Fom3Mn03MZZpPrax200Ri2wXDuCnOlcSShYjSV7CJ7fU/hlL1MFHopWwVOhr+OVwlxZu4HXEu/T0Sr/1wasFm9xOXkBG9P9fJkrI3/cvezBFXX4kZ3f6KOkmlwarqfD2cHebVuN37VSbs3Spevip+MX+P0zAAnI80Ai/3vBjNzXEtOEdJcPFHVtljXMl/KcWq6n9Fcgq807ONvdz6xRCGx2unnj/vPcGF+jMuJcZ6r2bXp78l2Ynx0jt5rExw6fncsTNVk5uNZxobjfPWbJ1Z1vvRchve++zFv/cWHzIzEcftdqJqCKIvk0zazY/NcfO86kdoQz37jBK/85lMEohu7pglCJeJwoKOW4cl5zDXMn7ZtM5PIMjKVoL7Kj9e9vAEjCxIH/F20eFZ2iIW1IE9qR3kycu8+oZqk0uFtpsPbfN/x7fZ1sNvXcd/n3UISJGqdVfxC3cvLPi4KIsdC+zkWWj5dfzlCaoCXq5/i5eqnVnzdZncdze5HRzzwTo4+txtJkfCukJqpaArhaj/1bVWbOLL1Y9uVcpf7KciKgogNa3IE7bA+UpkC3/7eJ2RzRSwL4vP3jlZ+eHaQD88OLvvY3q7auwxYy7aZzeSYSmUorVCiVh/y0xIN4netLeDU5K6i09fAmbmb/PnIu3T7GzFtk4n8HKIg4pQd61b3hUq5Q0rPLbTISdGbGUdbEB6TBAlNUgirPlyyVnHOqG4OBluZLiZ4Z+YSfzz0Bg2uKtyyA8M2SZSzmJbJwWD7Z8+AtW0b7IoKoWmvLUIW1Jw8VdvCU7W3owuiIPHNjv10BqOcnhomUSpS7fLwbF0r7f4wmrT1b0EuX+bm8MxdBuz9EEQB1aGiOrZGCMAwLS73T1Ior0/Aqa7KT2gNtQYPimXb5IvldS8c4YBnxTqu7YhpWkzNpYk/JAPWtmxM08I0TKwV6mBFUbgr1bHRtZvj4a8Q0moYzF7k47kf0eo+iFP2UjRzlRRjVzea5OJo6Au8NvnvKFkbH0led+BqEzYkE/kUl+bHkQWBJ6ItFE2D+dLt90IRJdp9Ud6a7OHc3CjPxDrwq05qXH7afVXYY1c5MztC2TIXU4EN22IwO8dwdp4DoTq6ArHF5e9aaoqh7BwRzU2XP3aX6F3U4aba5ePi/DjXklOfewO2XDKwbZtw9O7WWk6XiqJI5LKrd9B++JMLvPlnp8kmchx7aT+Hnt9DdWMEt99FuVBmaiTO+beucem967z5Z6fxhTx84W8+s5F/EgAel8bBznp+dOoaprX2DJZPro/Q0RjF43Ise7/ZK1ae7vCos+d4232f4/JoHHl2N7sONN33udsJTZIJah560hNkjWKlzk8QFp2EFjZ5o0xvZhKPrOHc4haO6+FRNb7dTpXnn+xa93ki4bud56Zlc3Ny9r76KoebaqkL3jZ+KwrVGgHFgyLK992HtHlqebXmGIog88l8Dz+ZOINHdrI/0MIrtcfoTY9zOTm4pEesJin4FDcOSV229tQpO/Ar7oUaVxaDPAcCrZyOX+NPh9/iT3mLSm9tAZfsoMYZ5mt1j3Ek1IFPrjjRG1xVfLPxGdo9tbw9c5GezBh5s4RDVIk5guzxN3EktHpH4f3YeuttgbnyHFkzuyCBv7HGgUOSOVZVz+FoLbYNolDpqbVdND+zhRI3hmb40pO7t3ooD4RumJy5NrJuAae6qkpK7sPGtm0KJX3dbWQ8ThX1HvUP25XxeIqJeJr8Q+oVnM8WGe+fov/yKInZ9D0XOH/Yw5d/59nFn0VEYo5mGt27ERFp9Rzi7ek/wVpwYtkLtZiCICIJMgGlmoKZxbTXJ8J1N0Jls7GOM+jmysb7RpAo55nIJ5ktZvnvz/8ISVw6i1m2jbmgjJosFxa/F4AGd5DdgRquJie5nJhgX7AWTZIZzs4zkInjVjSORZqXnG8yn2K+lKc/M8vFxPhd0QXLttEtk5DmJq3vpMRJsoht22RSBWK1gSWPFYs6pZKOLK1+7jj3xlVK+RJf/r3n+cLffAaXx4Eg3toUQ8fhZo6/coA3/vR9vv9/v8GZ1y4+FAPW7VDZ01qNqkjohrlmI/PM1RFeONZJS234/k/e4XOJIAi4vQ5cnkcry8mvuDngb+Y7Y2f4/tjHfKn2CPWuMJIgYGETL2b48cRZ3p+9wfOxvcTuqF3cbARBWJfonm3bGOb6SrG2Ar/Pya//wrF1n2e5Ody0LHqn4vc1YHfXx4j5bzs4Q6qP3259id9ofgFVlO8bwQdo9dTQ1FrFb7e8tNhmTBREZFGiw1PLqzVHl5zn1ZqjvFh9qGJfLdMd5ndbX8FseQl54bGcUeTsfA//tu+HNLureSq6D7/qRkSo9Igtpflw7jr/qud7/JPdv8aBYOuiurFHdvJkdC8nI92LPWpvCUqKgriY3bURrMuAtWxrSR3Hrd8BWFiUrZUNGxsb0zKZKc3w1sxbDOeGcctugsvIw6+HW+1z5G3SI+3TpHNFLvdNUCwbaOr9ZbS3A6VypTn9yGQCXV/7RObUFOoiAQLeh6tADJXN9kqpHatFVaQVexluR64PTjM9/3B6cE6NxHn92x/w3vfPkU3lMQ3zrmikIAo43Bq7j7UtMWBVyYmFTdHM4ZDcFMwMJSvPdGloQUk0j4W1aNAKAoiCzP2U+taCIkvrqh80TAvdMDFN6541futFt0zyhoFb1nihdhde2bHsmGVBpNkTwq1UvPyCINDoDnI43MCZ+DBvTt2kwxdFk2RupKbpz8SJObyciDYtOV/B0ClbJg3uIEfCjbjuETXwyhq7A1vXT3u7EI5UlBffe/0qDS0RVE1GEAQMw+TaxVFGh+LUNa1ekXh+OkWsKUrz7jo8ARfiXaKDIpIs0dBZS11HNfPTqY39g269iijgczvY117LhZ7xNbdNm01kuTY4RXNtkOrw1pbv7LA9uTX/PEoK/wARzcsX6w5zJTXCTyfO897sdYILUa+SpZMs50jpeZrdVbxSe5B619Y5cSRRWNcaZdk2ZcOkrBvrXjc3E0EQUB+S1opl20wkMugrGPYhj5OGkB/PHVmToiCgCgrqA3wckiDe8/NbzgBWRBllBXNP/VTQcLqY4M9G3qHGGeJvNL9ArTO8eF4bm4xRIOYI8MdDbzBRiNPurUFVK0Z5xd6SkHn4QZ51fZJjhTG+M/6dJb8bzY9iYdGb6eUP+v/gvuewbZuCWWC6NE1Gz9DuaafVvT4tvbJpMJpNES/myRvlFWse94driDq3VnjEMC3iqRxXBybZ21aDQ93+6anZfIlPro9SLK+v/rWtPkIk6EZ+SBv+paxOQvx+PGr1K4ZpcaFnnInZh7O5vfxBD+ffvYGqybz0q4/hcDv44//1+7z0a48Trg4wOTTDaO80kdogr/zGE0uOjTmaGcxe5I2p/4Rb9jNfnqTa0cK15Htcst8io88RUGNMFvupd+5iKHcZl+RDFjb2HhGoOCbWe3kUywa6YT40A1YUBGRRwC2rPF/TSZsnsqyinwA4ZAW3fDuKEdRctPui+FUH70318Zutx3HKKjdS0yRKefbE2mh0L3UeSoKIJAjEnH5erdtNg3t556IkCLiVRyti8jBo66phZHCW02/dID6TobYhiCiJzM1mGOqdJhT1cvypzlWfz+FSkTUFWZWXMV4rCIKAKAooivTQlIgFQcChyjxzuJ3e0dk1G7CGafHhlSF2NUaXGLAC8M2GL+OUHFRpj27LoR1WppArYZkWiiaj3lGGY1kWwzeniE8kcPudNLTF8AYfLUE4VZRpdlfxX3R+gfdmrnM1OcpUMVnpiCFKhFQPh0OtPBXtptNbt5iuuRVIooiyzjXKtGzyJR2fLG2TXMbVYds2mWyJ0Yl55hI5yivsYXe1xmiqX52jwbJsplIZ9BU6XLTHIgRcDqQt7n6yEhWbrMRofpbDwXaqHH5C2t0lMTmziGlbiIKIsEXBwXVHYHNGjng5TqqcWuyfBpDQEySSiQc6X42jhv3+/Ws2YHXLZDiT5PXRPq7NT5PRS5RMc8Wqmv/64FNbbsBCRY34vfMDtNdHt70Ba1k2c+k8753vxzTXZ8nta68h7HdvigdPFNiQ1N9SyVhXG57Npm8sTt9onMxDaKEDMHR9AqNscPSFvbz8609glA3+7F/+hN3H2+k60kI+U+Dsm1eZGJql/KmNb5N7L4ZVZrzQQ0qfRZNc7PM/Q9HMkjbmkQWFopnlcvJtetMfM1eeoNm9F7e8welXAhuS/VAs6ZR0A8dDqpH2yBoRzcNwNkHZNKh3B3HKq3stRZSocfrZF6jlzake+jJxEuUCw9l5fKqD3YHqu+qywg43HkXDtCriJC3endTPlaiq8XPi6U4s02awb5qbV27XJze1VXHweCsdXatXn+w41EzP+SHmJhLoZWPZVmnlos7M2By5dIFdh5o34s9YFkWWOLGvie+/e4VkpoCxxjmwb2SWy/2T7GqMUhW67bXf7WvfyOHusA0ZuDrGjfNDRGuCPPWVQ4vr/oc/u8yZ168yNTKH062x92QbL3zjOIHw3Rvn7YogCDgkhUPBFoJKxVhNlfOUbQNFkPCrLuqdERrdEWRB3NKopSyJKOvsomCaFtlcCZ9L2wABic1BN0ymZtL85M3LDI3Okc4UMZYpiRAE8LodOB3q6g1Y2yaeya04L7ZGQ7i07V/7rIoKEc3HcG6aD+LXaHFX45BUTNsipecZzE5xOn6dmCNIrTOMU9qav2ldBmxIDfFS7CVmSjPES3ES5QTD+WGSehKP7KHasbqUMkVQ8Cpe2j3t7PHtWXMK8WQuw89Ge/mTngvYtk21y4tDklfsF7kRal0bQalscPrSEF96Yjdup4qyjWssM/kSfaOz9AzPrkvRVxIF9rRWE/Q9/PRhuB1FWO9cmy+WV0wT2S7c6tP79ie9TM6mMB9SfWY2mcPtd9F+oIma5ihzU0k0p4okifjDHho6qslniowPzHD6Jxc5+vzexWNDag2y7yQRrZ6imcOjhKh1tiMgUrYKCIjMloa5nj5NSp8lrNXR5Xt8ww1YAQGvS1u3ZzSZKZArlPF7Hs41XeX0sstfxenZQd6e6uVIpJFq0bdk3JZtUbZMZEFa6AN7R2suh5vHqlp5beI6Z+Mj+FQH08U0zZ4Q+4J3q523eaPUuQJcS05ybm6Eg+G6JVFdAMMyMW0bWRRXVb/zWUbTFNp2VROKeOm7PsH8XBbLsvB6nTS2RqltCOF4gCjpoef2MD4ww9UP+3B6HFQ3R3F6HIiiiGmYFLJFJgZmuPjuDURRpGVvA5ODM3dliLi8jnWrE4uiQE3Ex562aqbm0syn1yakli2UOXt9lNbaMC8c67hnP8UdPnv0XBzho59dYc/xVp76yiEs0yIxm+Hnf/YR02Pz+ENuErNp3v/xRWqaIjz+6oGtHvIDIQgCAgKt3hit3u3b41VV5HUHSgyj0pawOuLdpsV5d5MvlHnvo15++tZVomEv0bCXsckEqXSBjpYqBAHGp1LkCiUaa8MEfKsXF7WxyRbLi2WUy9EQ9uNUtneAShAEwpqPV2qOcmrmCqfj17maGkYWJCzbomjpZPQ8btnB45HdNLtji+rEm826DFif4uNYqFIQXTSLTBYn+eHED7mUukSto5YXYy+ueLywkNLpEB1UOarwK35Uce2WfG8qzjtjA4gIfK1tD7uDVfhUB9IKFkuLb3v0TjNMi6HJeS72ThAJuAltgqjRWrBsm/GZJB9cGlpXPakoCFSFvLTUhnCvoZnzml5TFHA7tXV7PjP5EuV11P1uFoZpMTad5NSFgTVvNleFICDLEvKCR1cUBdw+J9lUHn2hP3Ag6sUbdNN7Yfiuw31KGJ9yt5fTIVXugTrnLqJaI3kzjUvyoYoOhA02lG55XBWlkg61VlN/ai7NfCpPbXRlA9u2bQzbIm+UMW0L07bJLZQ7FA2d2WIGSRArsviSjCJWosNVDi8HQ/W84b7J+zMDHJ5sYF+wDp9SkeQvWwYZvUSinOdYpAmvonFngpdPcbAvWEtIdXNhfgxVlCgYOq2eCE2eu1M3W71hDoTquJma5r3pftp9Udp9UVRRxrQtSqbBfDmPIkjsCdbgXojgWrZNwdQpm5UedYlyAX1BvXaulMe9IL2vihKaJG9YY/PtgKxIRGM+orH113gaeqWe/OI71+i7METr/kYCER+SLKKXDBIzKQaujJKey1LfEWNiYIax3qm7rt/2/Y08+bV7t5xZDcKCyNnj+1u42j9FIpNfcynFzaFpTl0coKMxQmvdg6nv7/DoMjuRQBAFqurDCIJAuaxz8XQvgzcmOP78Hh57dT+jvVO88/1zfPLW9UfOgL0ftm1TtHT6MlPUOINElknN3Aw0VcbtVBEFYc1BiGLZYGBsjr3tNTwqPqhcvsRbH9zE49L4ykv72dddx4/fvELPwDS/+vVjuJwql66N8fHFYQ7ta6C2+gEc5TYUDX3F97Pa70V7SDW4G0lI9fCV2pPEtADX06PMldNkjSIiAh7FSYu7mi5fAweCbTi2MBV+w95Jh+Sgxd1CnbOO/mw/ITW0aNxuFvFCjrlSnidqmvivD967l9p25vWPbtLZVIXP49ykutAHI18sc2N4htOXlu+PtVpkWeSxfc34PU5EcXOi4LIoEva7150mOpPIrlt5+WFjWTbJTIG/fvsS47OpNaf7rQZvwMXcZIL0fKVFjyiJRGuDjA9Mk57P4g97MQ0LvWxS+pQKctksYGMjiyqSsPx0JAgimuRCkx5eqyVBENAUGbdDRZYrSqtrYWI2zVzq3r3lbmHaNvOlPGdmhyiYOgVTpzc9Q8HUGc0n+dHoVZyyglNS6PJX0+AO4JRVFFGi21/Nb7ed4P+6/g7/9uYpdvurqXZWFtpkOc9UIU1GL/IHj/8qblnlTr0xWZSIONyciDbzydwIRVOnyx+jzRfFsYwX1SEpPFe9i3S5yPdGLvLPr7zBwVA9AdVJ0TSYK+UYzyfZ5avin3hfXjRgS6bO1cQEY/kkBUNnODtPWi9i2TZvTvZQ4/ThlGRqXQHafFGijs9fT9/V8Bf/8sf0Xaw4ffLZIrPj8/d87tC1cYaujS/72LO/dGLdBuwtDnXW0VoXZnhyntwa58GSbnKxd4KffnCD3/rSsUeyr/YOD04hV0LVFAJRb8WYK5R5/0cXcDpVTr6yjwNPdOBwqfReGmGsb3qrh7vh2NjMFJP8i+vf59ebn+Llmq0x0GVJxKkpuBwq2UJpTecolg16RmceuvL+RqLrJuOTSV58upsj+xupiQXwuh04VAW/z0lbU5Su9mqmZtN8cnGYcNDN8UMt9z8xFae3YVorOvV8Tm3dtcebgSiIeBQnz1cf4vnqQ1s9nHuy4a4Av+LHp2yNumDBNBCAzkB0S15/IzjfM875m2PEwl6qgp5tpe5m2zY3Bqf54OIAmfzaJr1baIrMSyc68d2jof3DQJZFIgHXut/TgfE5EpkCtm1vq8/nFvZCv9urA1P89ZuX1myMrZZobYib54YY65vGtm1kRab9QBMfvnaRxs5aHC4Hg1fH6L88QiCy1FDpy56nbBVocHUT1u5OYd1swn4Xmiqv+T0bm0kym8ze99ooWTpXkxP8vz757l2PXU1McjUxufjz3+l8km80H6J+wTgMai5eqdtNh7+KPxs4y8fxYc7OjyICIc1NizfCVxr2EdE8y6b0umSVF2u7OD07SLpcpMNXRbvv3lGwJk+I32o/wb5gLd8ZvsDH8WFSegGXpBB1+tgTqOH5ml14ldv38nwpz7/vPc27U31LziUg8O97Plj8+WRVC7/TfpJo9U7943K8+OtPcPiFvfd/4n1o7q7bgNFUcDlUnjzUyuhMgos9E2s+z1Q8zZuf9FAT9fH1Z/YBj57y7A4PiG0jySKqKmOZFplEjosf9PDUFw8SqQ4giiKaU0VzqGSSDzFraIuwgZxRpmwZ6yq/2ggcqkzI51yzAVso6dwcmlkw2rbnXujT2DboZYOAz7VYuqDIIqIoUCjcdq7v3lXD9167yORMetXnFgBVqghB3uujdakK0iYFbD4PbLwBq/rxKluTFuGSFZyyylzp0Z74fnjqGjURP88dbd9WtbCzySynLw/xyfWxdZ1HU2U6GqK0N0RQlxEleVhIokjA68blUMnkS2vuB5vJFZmay5DJlzbVAF8thmlxc3iGf/ed0w/deAXoONTE5Mgsqqaglww0p8Kzv3SMMz+/xB/9s+/xp//8h5RLBsEqH89/4/iSY0fyV7Ftm3rX6pVZHyY1UT9uh0p2jQ6aZKZA/2icsZkkDbF7lyc4JZXHoq38/JXfv+85vYp2V92pKkq0eaP8l7ufo2wZC/1eK739ZEHEISm4ZHXZCn+npPJMdTsHQ38L07bxKOpd5/80PkXjZLSF/aE6yqaBhY2w0NRcEWWckox6RxpwzOnjfzr8FYrmymUGmiTj3VEvviePfekQ1jqF8oDF9P6N4lh3A5f7JukbjZMrrD0bZWI2zbdfO0c06OVod/22FzDcYX24/S7ik0kS8Qzp+Rwf/fwKpXyZg091ElpIuddLBsVCadMyszaborlyneRm4XZq1ER9jEwn13S8bpiMz6a42j/J/o5aXI7tL04kSSKBgItkOr+4N3I6VQQBpmZT7O2qONE1VaZcNtAfpExOAIeqIAoC5j32lrIkbhvdnc8CG249tLvb8df6kZZplvuwafIGafYF+Xh6lNFMkhq3D3kby1Xfi4nZFK+dvo7XpXFyX/O2EHgr6yZvnOnl1IWBdafP+t0Onj3ajlNTNrnnrYAiizRUB0hmCxTX2ArCsm1uDE2zv72Gfe1bHzW8E8MwuXBzjG//7DxDk/dON9xImrvrCES8iJKIrEgIokBDezW/9o+/yEevXSY+mSAQ8bL/iU6e+PLSdBTD0pEFBUXYHkZMfVUAj0tleo1vnWXbXB+e5nLf5IoGrCgIOGWFejmwptcRBAFVkFC1B0+rFgUBl6zes6fr8seIOGVx1YrHsigS2UkLXjfObeggg8rm92h3AwNjcU5fHlrzeQzTYmwmxb/5i/f47S8d5+S+pocmgLZVpLIFRFHEu5MmTXNnDf1XxvjZn57m2pkBrn08QMeBRpq7a3F6Ktd6PlskmyzgDTy8kpH1ULYMvjd6hqKp81RVN82eKgDG8/N8f+zjFY+1sZksJJgv37/M5GHjcanURQPAyJrPUSwb/OyjmzTXhB4JA1ZRJBpqQ/QPzZLPV/axoYAb24bTn/Sze1cNPo+DyzfGKZeNBwqwCIKAz6kxlRIxreUDB7ppYa2r8eQOd7LhBqxP8eGRt2bj0uwNcryqnm/3XuR/O/8ux2P11Ln9eFUNRVze89HsDeLXttcmQTdMLvVO4HM7cDtV9ndsnZF0S8n2zY97eOuTXsZm1tdLVFUkGmIBnjzQiixtrpNDECoCQ+11EfpGZtdswAJc7p1gX1sNuxqr0DYxirwSZd3g3I0xfvDeFc73jG9K9BXA5XHg8iy9hzSnypHn9lDbGiOfLuB0a0Rqg4SrA0ueF1CrKJo5ckYSv7r1qf+N1UG8rvXNByOTCS70jHG4q35Jr8sddvisIIoCu1tinNjbRP94nJmF+ve1oBsm/WNxvv2zc8ynczx1qI26qP+RSElcDtu20Q2TvtE41wanGJqY50h3A88d7djqoW05u4+1Mjkc5/Rrl7n8YR/eoIuv/s4zRGoCSJKIaVrMTSWZm0nRebBpq4e7LKZl8uFcL1m9QJe/btGAnS9n+Onk+RUjbDZQtnRyxsNpafcgeF0OGqvXJ2JqmCZnrgzz3NF2vAv71e2M06Fw7EAzH3zSj26YmJZFY12Ihtogr793g3/9H95G02Su907RUBOk+gGU2yVBoDrgZXA2Qfkee69ssVxpwbg9toyPPBv+NooLyplbwVg2xYX4BHPFPDeSs/Qk41Q53XgUdSESe/fE8nt7jrFfW31fvs0ilSvy8bURZFnCxmb/QqRvMxd127YxTIvTlwb5wamr9IzMrtsoigY9nNjbRF3VBvfxXCWSINDdEuPd8/0kMoU1n2dqPsOFnnG6W6rZ177110+2UOKTayP89IMbnL0+uuYU2I3EF/LgC63szGpwdTOSu8Jg7hImJm7Jh/Cp7A1NdOGSN6csoTEWJORzLW6m1kK2UOZS7yRvn+3j68/sQ1PlR3YzvsMO9yLgdXG0u4GRqQQ/eO/qutYG24arA1OUdIP5dJ7H97ewq7Fq22+Ib2HbNrlCmam5NCPTSUanEvSNxukdnWU+nScc2J5dBTabWH2Ix79wgFCVn1y6QFV9kKPPdeN0L0SnbZuquhCPvbyPXdvUgJVEiZORDkqmTlS7beCUTYNUOc8T0S6qncFls/9s22aqmOSjeO9mDnlZvC6NpuoQmipTKq+to4RtV0Qtf3b6JgGvi66mqm1V9vZpnA6Fk0daCPidhIJuBKAq4uXI/iYmp1P0D1VaQ8YiXp4+2UFLw+oV0kVBoDEU4Kw8Tu4e269ELk/ZtNieuQWPHp8pP8BoNsm1xAxBh5Ogo5KGNFfKr1gTm9fXHoV72Mwksrx7vo9iWccwLDqbqnA5FMRNSIs2LYtMrsil3gm+/bPzXB2YorCOiCVUhJs6GqI8fahtyzb0oiiyu7Uav8fBZDy9ZiEFy7K50j/JW2d7Cftd922b8rCwLIupuYox/cP3rm7I57SZWLbBXHmCeGmUqeIAfiWK+Ck14npnJ7t8m6NoHvS5qKvy43M7SKyj9dDIVILXTt+gvirAsd2NqIq0Y8Tu8JlCEKCpJsTzxzroHZ3lct/k/Q+6D32jceaSOcZmUjx1sJWu5hh1VX5UeXvdP7ZtYy4ovScyeeaSOcZnU/SNznJjaIa+0fhimzlNkdfel+szhiRLtO2pp21P/bKPC6JI56Em2vbWozm3Zz20Ikj8YsNJbJu7SqCcssZX6o9yMNiMQ7rb+WLaFhcTQ/Sk1y5+tlFoqkIs7KW+ys/g+Py6RKXeO99PLOzFrSk01oS2ZQcNqPS/bWmM0NJ42zB1aCK7d9XgdmlcuTGOZdk01Yfo7qgh4F+9qSmJIh3VERzyvc2qiUSGoq4D2yvr81HloRuw9q2Z277j+/twqz/sg7I/XM3f3XPigY5p9m6PPrD3IpEu8PYnfYzPpPj1Vw/T2RQjGnA/tKiObduUdIPZ+SwXeyf4Tz86w9h0EnMDpNJroz4Od9bTWr91ff8EAepjAeqrAgxPJdYlQDI1l+Hdc/343BpffWofAZ8Tgc2JkpumRa5YZnouw1tne/nRqWtMz2ceKUl7gOHcFWaKlTYhc6Vx5kp3twHRRCe72BwDVhCgvSFKbcS3LgPWMC36x+L80Y8+xqHKdDRG8bg0pEewJn+HHe6Fpsp0NFbxC8/uZ3Q6SSpbXLM43i0SmQJvnOnhSt8kTxxs4fmjHVSHfQS8TlwOFUkUN10XwrJsyoZBsWRQLOnkSzrJTIHe0VluDE1zfXCa8ZnUunqjfx7IpQsIgoDDpSIuY+SIolBRId7GZdCCIFR6a3/qGlREmSrNR0B1r5iF6JTULctSvBNBqNTBHu6qZFFYxtrv23xJ57XTN5BEgVce66auyv9I9Du9hdulsXtXDbt3rT2bTpZE9tbH8Dg1hFRmWWtnYGaO/CMUYNjuPJQrzLZtLCx0S8eyLSwsDGv1E7siKrjlB0+5afWHafWHH/i47U5JN7jSP8n/+Ic/49XHunjlsW7a6iM4NQVZEjdErc+2bUzTomSY9I3M8uP3r/Ha6RsbdrMpisThrgaePty2IedbK4JQqVA51FVP71icwfG5dZ1vZCrBX795CUkQ+coze/E4b22wHoZzASzbwjAs5tN5zt0c5a9ev8S1oalHznC9xRPRb3Ay8vUVnyMJm+uJ390So6kmyLXBqRV7ut2PYtngUt8E/8P//RP+4Tef5nBXAwGvE0kSN028zLZt7AXnoYDwmVX2XA23DCvbvvX92j9cG7DsimFz+6MUtoXg3mYT9Dp5/EALPSMz/Oj9a2RzpQ0JOE7PZ/jrNy/x41PXObangeeP7WJ/Wy1Bf6VHuiSKSOItZ/f63/vFe8W2sRa0H0zLwrJsCmWdidkUvSOz9AzPcnN4hr7RWfSH2F/7s8jlD/uwbZuO/Q14/C5kRUaSK8bcdoqwr4WY088vNp6g2hFYtn0ZVGxet6ThkR0o28CZ6XM7eGxfMz86dQ3dWJ845/R8hj9//QJTcxl+7ZXDNNeEUBQJUVhbQOpBuT2/V0Jly72uZdmUdQNBEFBkaUPXQ1EQaYmGqA14GZtLUljGmXV9cpZ0ofjItB3a7jwUA1a3dUZyI5yaO0Vvppe0nsZk9fUxB/wH+Dttf+dhDO2RplDS+eGpa7x3YYCDu+p45kg7hzvriQbXL5plmCYXeiZ440wPH18bYWous6EiQEe7GnjqYOu2EbV54kALH1waXLcBC5WJ+//5wUd8cmOUv/W1k3Q0Rh9aO4jR6SSnLw3yzrl+rg1MUTbMBzJeVUVClkTyxe3hBZQFFVnYXnVu9bEAbfVRgr5h5lPra8llWTbxZI7/9Y/e5NjuRl452cWhznqCvs0JMViWTSpbIF/UcTlUQg+QEvVZw7ahWNYpFCvRs3sJbawG07BIZwvMpbI4NRWH9vnu7xfwOPm9rz/OfLrA6cuDZO5VBLYGimWd05eG+PjqCD6Pg47GKPvba+lqjtFSG6Iq6N0Qx4FpWmTyJWbms0zOpRmdTjA6nWRkKsHEbIpMroSxYNDeMmx3eDBOv3aJUz+8QKwhxIEnOznx4h72HG/b8DZPW0FU8/GF2sPIgnRPGScBgZgzyH+7+2tEtK3fCzk1hT2t1TRWB+gfm1v3ni9XKPPGxz3cGJrmmSPtfPnJPdREfJtSF2vbFSHLRDqPbljURO9+3XSmwHdfu4DTofD8E11EwxuvrfFYRyPD8QRD8eRdjw3NJhibT9NRHcGtba99z6PIhhuwhm1wIXmB16dfZ6IwQdEqYtqrvylUUUUW1zessmkymk3y3sQQfek5kqUiogAhzUVnIMpj1Y00egOb3MJlKX6Pk1jIQ7GsMzKVXPVxumEyn8pz+vIQVwemCPlcNNeEaK2P0FIboibiIxJw43Zq96xDME2LbKHE9HyG0ekkN4emuTE8w1Q8w3w6T75YxthAz3Is5OXZI+3s66jdNhGgiN/NvrYaBsbmGJ9dn7KybVcm7gs3x/kf//A1drdWc2x3Iwd31VET9a/5OrNtm2LZYHhynmsDU1zun2RwfJ7ZZJZMrkjxAYUXgl4nL5/soj7m51s/OcvUXGZN49pItqMXUhJFulti7Gur4Z1z/es+n21DNl/izNVhbg5P01gdpKupita6CC11YRpigUr/uFXcG6ZpUdIN8sUyuUKZbL5MplAikyuSyZVI5QqkskVS2QLJTIFUtkCxbFAb8fHKY928dGJ79NtdDZZVUXMtlHSKZb2SvlnWKZYraZy3fle447FCSad06/tbv194bqlsLhoemUKJxDqcE7PJLH/91iXe+LgXURSQxIpH36EqOFQZh6bg0GQcysJX9c6vC89Z/N2nHldlHJqMLG2vus+VEARwu1T+1tdOohsmH18dIVvYOCPWMC0M06KcyJHJl7gxOINz4f3yuh1EAm6CXid+rxOvS0NTZRRJQpYlRKGi6WCYFqZpUTZMiiWdXKFMrqiTK5RIZgqkc0UKpYreRNkwKesGZf321/XUCO5Q4ckvHkQURXouDPP2dz/h4zeuEqkJsO9kOwef3EVTZw2eR9TJJgoi6ipSg1VRoskdvWeUdjMRBAGnpvDKyS7++CdnmUutv71PWTcZnU7y/Xeu8O65fna3xuioj9JSF6apJkQk4F61QVvWTQqlMrlimVy+TLZQIpMvkb613mUra1wyWySVKZDJlxCA3a3V/K2vP0bkU+JpuXyZt07dZFdbjCeOtq/7b72TW1P1c91tnO4dYXQ+dVfpnWXbfDQwSnssTFft1nddeNTZcAN2vDDO1dRVhnJD2NhE1Ah1zjpcsoueTA8ZPUO1s5oaRw1lq8xcaY6xwhgCAoeDh9nr30uds27Nrz9byPHOxADfH7jGeC5NslxEX+jJpEky708O88ZYH19t6ebZujZ86tb0Zgv6nLxwfBeKJPG9dy4zPJVY9bHWguJhrlBmZsEIvdg7gc+t4XKqOFQFl0PBpakoCxE3SRTQDYuyYVAoVhbvfEknmy+RzORJZoqUdWPDtSY0ReYLj3dzuLsBzzZSlJRlicf2t9A/PsfkXHpDvOmFks7QZIL5dIGe4Vl+fqaHWNBDLOyjJuwlHHDj1BQ0VUZTZOSFSdwwLHTTJF8ok82XSGWLzKVyTM9niCdzJDJ5Euk8c6k8uUIZ03pw54JTU3j+2C6+9ORudMOkrT6yLQzYy8l3mCj0rficRlc33f7HN2lEFToaIhzuauBi7wTJdahV38mte3Y+lWdwfA6f24nPreFZ2HBrC4aMupB2dUsF3DAtdMOkpBvouoVhmujGra+V78u6gW6YlPXK8+78eqsV1nZQpr6T4akEN4emmZrLUNYNSmWDkm5QKt8au7H495u3vlqV7+80SAzTXvLzvb/fuNnNMC3iyRzx5O0NnygISAtzrSyJC9+L9/h+6XMkSVycp299L0simlK5LlSlMmdoioyqSjhUmVcf68a7TfrECoIAtk1DLMA3XzqIKMBHV4bJrkNjYDks26ZQrETRbyGJ4qIjQFVkFFlaTNOvpBFWjruVInzrGqrcQ3feWztG6sOm60gLVfUhZsbnGe2b5uaFYQaujPHWX3/M+XdvUNcapXVvA52HmmjuqsWxjfYMD4pl25RMHcM2kUUJTZQXa19VYfvUhyqKxHNHOnjvwgDZfGlD6rgNs1LmNJ/OM5fKcalnAp/HgcflwO1QKnPZgiNPlsTb5VFmpUSqrBuUdBPDNBf3R7phLax3lXVOX3AylRadTAa6YaEqEtGge9kuAoZpMh3PcPRAM7L8cBwIMb+HJzqamEik6Z2+O8Pvo74RjjTX0hQJ4HxImXqfFzb8LhrLjzFSGEESJJrcTTwVeYqIGkGTNNJ6GsM2aHO38Vj4MQzbIKNn6M32cjF1kbJVxq/4aXQ1rum1k6UCH02P8O3ei8wWchyK1FLt9uJRNGzbJl0uMZZNcnV+hv904xx+1cHhaB3erTBibagO+9jbVkOxrPNnPz9PKvvgvcFMyyadK5LOLT1WEgVURV7cLImCsLiZK+vmhkZY74UoCrx4fBfPHe2gJuzddtGEppoQR7sbGBibo3d0dsPOe+vz6B+fw6nJBLxOgl4XXrcDTZFQZAlZkpCkyvthLmzAS2WDQkknXyyTyZVIZgtk86V1b6pUWeLZI+28fLKTlrows4ks7Q0R3r84uBF/7roomTmyxvztX9hg2jp5M0NGnyOk1VDv2rXp4/K5Hexrr+HY7kZ+/tHNDT13sWxQnM8yfUfvTHEhgqfKFYeTsGDAmraNtWC83TLEPitb7NGpBG+f7ePm0MzCBmXBMDdMdLNioD9K9oRl21iGyUYl5wsCKLK0EEkUl3yvKhJPHmzbNgYsLIjbSAJ722rQDRNFlvnw8hDJ7MY4gO6FaVmLzqEdtjfegAtvwEV9WxW7DjTRdbiZsf4ZRnumGO6ZpPfyKAPXJrj0QS/1bVU0d9bQ3F1LTXMUzaFsuz3EpzFti/lSlovJIUZzc6T0HIZVMWA9spM6V5ADgWaiDh/KOjMNNwpREKiJ+nj2SDvxZI6RBwimrIZKRlARpis/C4AkVeYwRZaRRAEbG9uqvH/mHU7bjZ7/RUHA5VSQ5YejUwKgSBJPdDYzMpdkNpMjmV+6N59MZjh1c5iGUIDDzXWfS92EjWLD76B4Kc58eZ6AGuBY8BiPhR9bVBX2Kl7kooxf8dPqaV08psndRNkq05Pt4VLqEjFHjKj24OH1oUyCt8cHmMnn+LVdB3iyppk6jx+vomLbkCoXGUzP887EIH/Sc4HXx/qp9/i3xIDNFUuUyga1UR/PHe1gai7Dax/eoFzemCioadlb2k5FU2X2tdXw9ef201wbQt2GinQOVeZgZz3jsylmEllSG7zRsm2bfFEnX9SZmE1v6LlXiyyJnNjbxFee3ktXcwxNkfG7HbTXR1kImmwp9a4ufMptVWobG9M2yBlJhnNXcUguHOLm91AUBIHG6iDPHmnnxtA0o9PJh/p6lmVXIpBr7Mf3KJLJF5mIpxmdSW71ULYllZquSrTh0wgCG6pRsJGoiszhrgZkSUKRRd6/OMj8OhS9d/jsIckS/rAHf9jD7qOtzE2luHFukLNvX+fKR/18/MZVzr59ncaOGO37G+jY30jH/kZqmiO4vdtToli3DKaLSX46cZEP4z3ES2lsbERBxLItbNsmoHoYiMzwcs0BGl0RNGnrI3C3DLmnDrbSOzK7kJb74MGU1WJzuySADXP3rQ5NU9jTWcvkdIpcoYxl2w+llLApHODZ3W1Mp7Ocujm0RNDJsm0+GRwj5vcQ8bppigQ2/PU/L2y4VZEzcxSMAnWOOrp8XUvkwmVBxsbGsJdu0iJahCPBI0wVp+jL9tHsal6bAZtOcCMxy4FIDb/TfRRNXFpDFHW6CTtcNHmDnJ0Z5+zMGF9s6qRtC5SLc4VKXZYoiDTEAvzKS4cqqRa9E2QLpS03LNaDQ5PpbKzib3zhKF1NVWjq9jNeb9EYC/DUwTZGp5K8e75/224K14JTU+huifEbXzhKd3MMp1ZZLF1OlfpYAK9LI7NBiqFrpdrZSrWzddnHwlodN9MfMVeeZCu0q31uB/vba3n1sS7+5LVz5IvlR/q+3GGHzUKRJQ7uqsPlUJEliQ8uDTKTyK67xc4Onx3sheyS9HyO1FwG07Tw+F1Ea4NIsojqUBFFgYunerhwqod9Jzt46ssH6T7asi2N2LRe4NTMDb419C51rhD7g01UaX4ckkLZMogX0wzkZvirkQ/RRJkv1B6mzhXa6mEvUlcV4PmjHcylcnxyfXRZx9mjjset8dLTu/neTy/Q0z+NKkv4fc57RmRlWUSWHlyAShAEDjXVUijrpPJFzg9PLFEsn83keOfGIB6HytcO76Ym4F08bofVs+GWhWmbGLaBIip45aUKX7IgY9kWZat8l4x0s7uZsBbmUvISI/kRHufBa97S5RJFU6c7GMUhLf+niYKAW1HYH6nmB4PXya9TOnytFEs6pbKBbduoikxrXZj/5m88z7/447e42DtONr+1hsVa0VSZrqYqfu2VIzx+oGWrh3NfBEGgsynKN144wNhMgr7RuTXVmG4nBAFcDpWu5hj/6NefobkmjHqHyqMkinhdGm0NUS71TixbK7IdCKm1GHaZZHl6y8YQDXr46tN7uT40w4WbY+QK5Ufyvtxhh81GkkS6mqv43a+dIBp088P3rhJP5tal/rzDo49lWeglg0KuRDKe5eKpm3z0xlVGe6cAaOio5qVvnuTQU12omszF93v48OdX+PjNq6QTWRRV5sATm19Wcj9miyl+Onker+zk73e8yoFgM275dnZfydTpy0zyz67+Ne/OXGNPoHFbGbAAJ/Y1MZvMMpvIMjA+t6G6AdsBVZFob4nS2RbjBz+7yM3+KfbsqsXvcy4rolhfEyQWXZtatEOROdneiCyKpF47xcDM/BIjdnB2nu98cpWyYfIrJ/YT9rhQpIeX2vxZZMMNWAEBURCxqfSCvRNN1DBtk7yRX+xLeAuX5MIhOiiaRdL6etIthSXnXYmtvDWtBYXZkm7gXGjBUBv18d/85nP8f//kHc5cHd7SFOC1IAiwv72W3/rSMY7vWVsd81agyBJ72qr5b3/rBf7pv/4Rs8nsIz1xO1SFI131/MNffYaGWGDZ5zg1hb2t1Vzrn9q2BmzRzGJYOs57qGlvBoIAkaCH/+53X+af/sGPudw38cDqzzvs8HkmGvTw218+zsFd9fzrv3iP3pHZHSP2c0w+U6qoEH/vEz762RXSyRyBsJcTL+3lma8dofNgE07PbcOvtiXKc794jG//n6/x8ZtXOfvO9W1pwBZMneliii/UHqLbX49LWipApYoyHb5anq/exw/GPiGrP9za8LUgiSIvn+wCBP79d08zncje95hHiamZNP/of/hzEqk8Zd3g0vVx/pJz93z+f/E7z/HNrx1d8+s5FZkTbQ38v3/xJf77v/o5g7NLjdjxRJr//P55LgxP8E++8izN0SCqvH0zFrcbG/5OOSUnDtFB2SqTLCcJKIHFxzyyB03UyBgZZkuzxByxxcduRW51W0e312a4+TUHmiRzcW6Skmmgine3IbBsm0y5zMfTY0SdbjzK1qnc3RLtcWq3xQmqQl7+/i8/QW2VjzfO9DAz/2hMIJoi89zRDr72zF72tFU/Ul4kQRDQFJn2+gj/w99+lX/15+/RNxrfEDW+zaYq6OGF47v4hef2UxupeA6X+yycDoXdrdVIkrjZZShL6M+eJ14au+v3ZbPAcO4KJiZN7r1bMLIKgiAgAj6Pg3/068/wh9/7kDNXR7adou8OO2xHbs09siSyr72G/+53X+YH713lrbO9W6YLsMPW8dqffMBb3/2E0b4ZwKa5u5bHXtnH/sd2Eazy4fJoKJp815qlOVU6DzXTf2WM9Nz6W708DARBQBMVvLITcUH35dOPCza4ZA1NUra0jeO9EAQBh6bw1KFWRFHg//n+R0yss83gdsLpUDhxuAXTtKkobqxMS2PkPs9YGUEQUGWJjuoI/8dvfIl/8/pp3u8ZIVW4XWNcLOtcHJniH/7nH/B4RxMv7Gljb301ftf2Eejbrmy4ARtQAvgUH1kjy1h+jGZ38+JjYS2MV/EyXZrmavrqEgN2vDhOUk8iCzKquDajstkbZHewivcmB/nn59/l1cZOWv1BvIoD27ZJlApcT8zy05Gb9Kbi/GbnYapdW9dM+lbfwjuRJZH6qgDfeP4AddEAP/vwBpd6J7ZohKujrsrPF5/YzVMHW2msDuJ4BKXBb/VD291aze9/82n+8s0LfHx1dMOFnR4WArC3vZZXTnby2P5maiK+FWs3HKrCrsYqHKpMobh1abFThX76s+fv+r0oyGiSixbPAVo9Bzd/YHcgCAKSINBUE+JvfvkE0aCHd872bYs2RDvs8CggCAKaKtNYHeQbLx5kX3sN718c5INLQxvSe3K7Ul8V4HBXPQd21W71ULYFg9cnyKWLnHh5L/tOtNPQHiMU8+MLupFWUIYVRQFVk9EcCtJDan+yXjyyRpunmv7sNLp9t/Pbxsaybfoz09S5wgRUzxaM8v6IgkDA6+SJAy24HSrf+ukn3Bye/Uzog/i8Tr751dVHVAMb0JNYEAQ0WaIxHODvvnCS7toqfnzxJj1TcUyrYkSXDIOxRJqfX+nlwvAEzdEQ7bEwTZEATZEADaEAHoeKKIg7qsV3sOEG7C0F4cHcIH25Pp6IPgFUEnvrHHVE1AgXUhf4cO5DLNsi5ohRMAtcSV1hJD+CR/YQUtdWF9DsDfJCfTvDmSTfH7pOTzJOyOHCKSvYtk1OLzNbyDGSTXIy1siL9e1UOTdf4fQWpbJBcZk0YUWWqK8K8NwRhbDfRVN1kNOXhphL57aNiIwggEtTONhZz7NH2jnS3UAs5F11g+rtyC0jdl97DbIk0lAV5P1LA/SNxjekT+zDQBAg6HPx5IFWHtvfzL72WqIB930j4JJYWaQaYgFyhfKWRZub3fsJKLG7fi8KMk7JQ0irwSMHt2Bkd6PIEh0NEb729F6qw15OXRjkUu/EZ2Jh32GHzUCWJeqifgIeB7VRP13NMT65PsrFnnGSmcIj34dVFAV8bgftDRH2tFTT3hChqSZEbdS/1UPbFhx/cS+7j7dS3xajuiGE6wHEmOrbYrz0zZM4XFvbG9aybZLl3JL4nQDIgsTJyC5+MnGO1ycvsdvfQETzoogyumUwX85yIz3OaC7OSzUHaHBtvnjoapFEkaDPxYm9TTgdCu+c6+f0ghDbdt0LrQZFkWio2/y641uZXM2RIGZnC6ZV0QC6Nj6z+BzbtpnPFZjPFRidT3FlbIqQ20XQ7SDgduKQF/qByzLaQq/rraAxHOCLBzq35LU/zYYbsDWOGuqcdUwUJhAQMG0TCQmESgS22d1MX7aPodwQGT1DRItQskpMFifJG3k6vZ20edamOerXHBytqqNkGrwx3sdAap6byThls7I5dykqMaeH5+paebWxk+5gFKe8ddHCigG7vOEgCALRoIfH9zVTF/XTVB3ifM8Y1wanSGWLWzqJeN0abXURDnTUcrS7gb3tNbgc6iOVNrwSiiyxr72GoM9JbdTHR1eHuT4wzfg2SqWRRAG/10lnYxWHOut4bH8LjdXBRaXh+yEIAoos0tUcY3gqsWUGbJ1rF3Vb0Od1rUiSSHtDlIDXSW3ET0MswJX+SYYn59GN7VlLvMMO2w23U6OzqYq6qgBt9RH2tlbTMzJD71icydn0I6X/IEsiIZ+L2mhlPmisDtFaF2JXYxUhv+uRdupuNPsfb69ktKzhPYnWBQlX+7c8AqVbBn81epqiufQatYGsXmSymOQH42e5lBwhpLmRBRnDMknqOQay02T0PNPFJEVze/ctFgUBj0vjsX3NRAJu6qJ+zt8Yo2d0lngyu22CKQ9CqaQzODpHc0MYTb07Vf3TGIZJvlCmWDJwaDK+VThcxuZTpAtF8mWdQlm/62uupDOdyqyoA5BfeP54YmmZhSJVesWrsoQsbo0Be7K98bNrwAbVIN2+bmRBpsXTUrmrF64Rh+Sg09vJXHmOs4mzzJRmmCpVlOdUUaXWWcs+/z7a3GtvmhFxuvlC0y52h6s4NzPBWDZFVi9V0iI0Jy2+EIeiNdS4fFteg1DSDUr6ygu106HS2VRFW32E3W0xTl0YoHdklvHZNPOp3KYJysiSSNDrJBb20t4Q5fieJk7ubcLt/OwYrnciCAINsSCRgIfOpio+uDTI+RvjjMdTxBPZioL0FozL7VQJ+93URHx0NEQ5ua+Jg7vqUOS7673vhySK7Gmt5r3z/SQzW5MqrVtlwEYSlIr4m21j2joZI4GIiFPyokrbrxYkEvDw5MFWOpuqOH15iE+ujTA6nWR6PkM2X942StaiIOB0KIR8LtzOrY1c7LDDnQiCgNelcaiznkOddQyMz3HuxhhXByYZm04yl8qTyOTJF7eXMStJIm6HSsDrJOh1Egl4aKoJsquxil1NUWoj/mUVTXeo9H/NpQvEJ5Mk4xnKRf2ezninW1si1iRJ4pZFne7EtC0+jPeSuYcIk1d2oFsGfZlJWKbKxCU7uJwc4Xi4g0b3g7eL3GwEQWBXYxX1VQG6mqs4c3WEawNTTMRTFVXxbdRuR5ElAl4nYb8bSbr7Hkxni3znJ+f5zW+cJBz0YFs2gljpXf3payufL9E3PEvv4AyZbBG/x8muthgdLVUoyr33Wz+/0svAzDzpQol0oUi6WCJdKJEplMiVSqwn9qSbJrppkttCCY5U/uH1CH5QNtyAFQWRvf697PXvXVYNuMnVhCzIaKLGtfQ1imYRQRAIq2GOBI+wz78Pr+Jd5syrRxEl2nxhmr3Be3qJjIUNpiyKW2bIlnWT0ipu/kq0TOJodyMHO+q4OTLLR1eGOX9zjLGZJPmiTqFYSQPdKK+YIIAsSTg1BZdDIRrwsK+9hpP7muluieH3bL8+bA8Dp6bQ1RyjrT7Ci8c6eed8P2evjzIxmyKTL5IvVtohPYzUN4FKyp2myjhVGbdLo6U2zIFdtRzuqqe9Poq8jgVdEgW6WmJ0NsfwuLT7HwA0VAU2NKKQKE9i2Dp+JYJL8mPaBpOFfoZylxAFmXpXF9WOVjRp+11viixRG/Xzi8/t5/mjHXx0ZZiPr43QNxYnka5svIslfVMUV2/dr4osoSoSmiKjqTIep0pNxMeethqaa7ZXywaf20FTdRBjJwX7wRAqjonPSmSvsvwKtNVHaKuP8HK2k/6xOBd7J7g2MMXIVKJyL5Urc23ZMDctA0mWRFRFqqTuqTJOVcHncdAQC9DZVEV3S4zW2jAel7ZtHbmqIlEd8rKrcW3GkkNTqI1ujFFeyJW49skgH/zkIjcvDJNLFbAsa9mWELUt0Q1VG/a6HTRXB1nrJqk26ifgcSKLEl+uO0rZWp9jJerYOv2VteByqBzf08S+9lqGJuY4fWmIczfHmZpLkyuUKZTKlMrGpnRwEMXK/KfKlXvToco4NYWA10lTbYijXQ04tbsdttl8idfevsaB3fVEw14KxTKSJBIOeoiGPQT9bgShsuceGInzVz88x4WrY8hyxbneVB/mH/7u89TXBFGU5effH164wY2J2Yf9FuwACPYWdRa3bRvd1knraTRRwyk5kcX12dOWbWNYFiXToGDqZMolDMtaUWuszu3Hq65u8/5pvvWTs3z3nUsMTybWdPzR7ga++fIhnjncvqbjU9kCN4dnOXdjlMt9E/SPzVEoVTyalm1XGoUvfMW+e41Y2DdUGg8JAqK4kKu/oERXHfGxt62GQx21HO5uIOh1Im5R2sJ2olQ2uDE0zbmbY1zsGadvNE4mX8KybSyr8n5X/lWu83tdfbf2O5X3f0GlcOH9F0QBhyITDXrY1RSlq6mKo7sbqavyP5IiWffi/dm/ZL48SafvBO2eI6T0Wb49/P/Bsi1KVp5G124Oh16h1XNgq4e6KizbZjKe4nLfJBd7Khvw0ZkEpmkvuS8Xrw/sFfdTy18jt+9ZQags5k6tEpmvjfpoiAVorQvT3hClMRbAcYfK+Q47PErohsn0fIbzN8boHZmlbyzO2EySdLZYmW/vmGetxXVu+fXuTm7dQ7fXv1tr3+15WJYEokEvDbEATTUh2uojdDREqY8FcKg7rS7Wwtl3rvPdP3ybyx/0Eoh4qaoPoWjLv5fR2iD/1T//9U0e4Q6rxbZtdNPi+uAUF3rGudw7Sf9YnEQmv7jWWQsiRbfWO1baD93xP0FYZs1b2BvJkojHpVET8VFfFaCpJkhbfYSW2jBVQc+KUfrB0Ti/9fv/gbrqAMl0vhI9tqEq4uW5J7r4jV86vphV+P/7z+/y0blB2luiHNjdwNWeCX7y5hV+65cf40sv7KMqsnyg7Zf+zz/+TBuwT3e28Ae/8/WtHgbwECKwD4IiKIuCTavt3boSiVKB9yYG+aOb5xhMz68qVP8vn/wyz9WvPWV5PRiWhbGOHpxet4NDnXXsa6/BMC3S2SJDk/OMTieZmE0xGU8xM58lky9SLBkUyzrFhSitKks4VBmHpuByqFQFPVSHvdREbtXxBImFvciSuPBP2vLak+2Cqkjsaa1mV1MV33jhALlCmfGZFCNTCYanEszMZZhL50ikC5X3vmygGyaGYSGIQqWOQZEWPftOh0LI6yISdBMNeIgE3JV6qqoA4YAbSRSRpMpxn7XUtIw+jyyohNRaCmaW/uw5dKvE1+r/ISWzyPX0B0wWeh8ZA1YAqsM+ogEPTx9qQzdM0rkio9NJRqeTjM8kmUlkSWYKJDMF0rkipYXrQzcrkSVJFFFkCUUWURUZRZZxOyqRn4DHiX8hdTHgcVIV9lAb8RPyuXFoMqIgIIkCoiRWrpvP2PWyw+cLWRKpifiInuziheO7MC2LfFFnZj7L2HSCmUSW2WSWeDJHPJkjnStSLOmUdJOyblDWTQzTrNwXC+uYLIk4FjJa3A4Vj0sj4HEQ8rmIBDxEgh6qQm5qwj5cDnXxPhIlsZKxtXNPrZlrHw8Qn0jw/DeO8yv/4EU8fhf32ljsvM/bH0US2dNSTWdjFb/03AHypTKziRyj0wnGppOMz6ZIZPKVtS5bJFcoU9bNxfUOWFjrKtFURZFxKDIel4bfW1nvbqXqh/1uYmEv1WEffo8DURAQF+5NSarcl/fLprz16Ew8zYE9DbQ2VbISBodnef9ML+Ggi6+/ehBZlpiJZ4iEvTx5vIMTh1vY113H6ESCK9fHeep4+z0N2B02jy0zYG9FBDbCcL3Fudlx/vjmeSZzGY5XNRDUXKiStOJFXePeujQOeyFat1ZEQUBcuPmhogoc9DnZ3RKjbJiLE4VpWdh3eMSS8Qw3zw+TnM3w5d96ckk6hnJH+uFGp6jNz6QoF3Wq7+itNTE0y7l3btC0q4Z9j60tEr3ZCIKALEvIsoRty7gcKgGPk/aGyGKKm2FUnBOmZd0RdatMoIuRs1sRV7HiVVQWzqnIIqosoymVnz/L6HYZVXSgiS4KZpr+7AXavUcIqjVYtsnNzEfkjUenXc2tljuSKKIqFc+zx6kR9rvpbokt3pOGaWEu/LOWRGSXXiO3vM6ieGsDXtlE3/peURYEHTbRuWHbNmfeuMrrf/kxbXvqeOrLB6lrqdqU194B8oUyr717jbc/7OFvfuMx9nfVbYvawIfB4v2k3v773A6NgMdJU01w0TGomwtzrmUtyYKx7ph3EeB67xRvfHCTctngH/+tF3A6lAUHoYgiiZX5d2EuVhRpcY7+vKMb5uI19/WXD3LyYAvyGtrZJOMZfCEPe4+3Ea0NbduWODvcn8Uez/LtfYrLoeL3OGmMBRadSLfWulv35p3rXeU8t/dCt7IgpDvWuMW1Tqrck4osrat0ShQFXniqmy+/uI+aWACA0fF53jvTx0fnB/nKyweQgWJJR5FFvG4NTZXxe53s767jndO9y3YP2WHz2XADdrIwSdEsElSDBNTAms5h2zaGbZA1sggIuOWKktv9FpJ4IUeiXOSZulZ+reMADklGEkRWspFrXFvnRVnIqNgwJEnEJam4HCuLtcw6NDL9caRUiY411sWshYGr48xNp5YYsKWCzuxEknD1o9lmYHGDpYk4VqkAvMNtVNGBjUXGmCOtzzFbHOFY7RdxSB4KRpqF7nlbPcw1IwgCkiSs6r5cDR+dG+Qnb155oGNOHG7hyP6m+3qM0/NZ+q+OMz02zwu/dAxlhTTJ1HyOwesTePxOSoWdxXwzKZUNTp8f5ErPJJlscV1O0EcRUaz0lNXWkMY7PDxHNl3A49ZorQ2jafffV+wApmnxyaVhLt+Y4NmTu1Ysy1oJAQHVoeBwazvG6zbkZv80p88OMDQSX/UxqirzO7/6ODVVlTppTZTRFJntGZ+sBAv2dtbSVB9e7PMqSSKjEwnOnB/EXkjdtOxKNtQtx7AkicQiPnL50royJ3fYODbcgL2avsp4YZz9/v0cUg898PFpPc1Qfoj+bD9pPY2AgEf2UO+qp9XdSlgL3zNqG3G6afYGkQSBZm8Qr6ptudLwWigY+YpIh6giCtJCPWCR6eIYquggpEZwSPdvsFzMl5kcjnPj/BCiKGAaFnuPt6E5VUzDYmYiwVvf+YRivozTrbHvZBuhmJ9kPMvwzUmmR+ewbZtobZDOQ03MTiSZHZ8nny1RKpSJ1AYYH5hlz/FW6lqizM+kGboxSWo+i6JI1DRF6TjQQKmgM3RzktOvXWZuOoUkS6iqzGOv7gdAL+v0XBghly5imhbBqJdjz+8GYHxghpHeKdLzOTSnSm1zlM5DTQCceeMqkiRiGCbp+RzegIsjz3YjKxIXTvUwP52iVNRxex007qqmvi1GfDJJ76URLMumVNBxeTQad9VQVRdgtG+GXKZA9+FmHC6Nsf5pknNZQlU+apu3v1rgo0hUa2A4d5Uzcz/Etm1Cag0xRwuyoJIz01i2hSJuPxXirWJ0Yp43Tt14oGMCfhdd7dVwny3F/GyGc+/eJD6V4tmvHUHZES3edliWRTZfondwhvIWtb56VCnrBtPxNNPxDB732nQvPo/8/9n77+i40jQ/E3yuDe8BBLw3NKC36b2rLN9VXdVdrbal0WhGZrXSjs5oNWdXq5FZ9a5GI9OSWr3d6m51qavLm6zMSs8kk96DJEB47wLhfcQ1+0cASIIwBEmAZFbhOSfPSeJG3PvFjRv3fr/vfd/faxgm2VyR/pHQfUeeymt8hCajhCajGLqB+AuaOfBpZS6S4mLXKJe6Rtf9HrtN5aufPQCfgiQcURRwu2wUNX2J8aZhGOQKRTK5ArFEFqduoGsGoiIsliIKAp9kHfxyrRk+smy4gB3PjnMtfg2v4mWHewfRYpScnkM3dRRRwS27ccrOFQ2bsnqW3mQvx+aO0ZvspWCU+mQpgkKdvY7D/sPs9+2n3LKymOjwlvNYZT0fTQ7x3/uuUGl3YpXkeRG7spDdW15Fhc25YZ9/IxjJ9GFiUmmtwauUkdFSXE2cZSw9iCIqtLt20ehoxymvnv5smiahySgn37qCYZhY7RZ0TadQKGKxKRTyReLhJIlomly2wOWPe/GVu7DaLYzcnOLqyT5sLgumYTJwfRyXz8FI7xSTQyHyuSKJcIqKWj/R2cR8/YHI0I0Jhm9O4fTYMHSDoe5JfBUuLDaVXDpPKpElFc+SimewWJTFyEE6kSOXKeDyO4jNJem+MMT2A42IksiVj/tKgliVmZ2IMjkcoqqhDKfXzqWPelCtKoGgG33hYTh/Y8kkcyRjGfLZAqN904uR35mxCO997xzb9zchqxIjN6dIRNIcebmTRCTNiZ9dpqGtEotNpe/qGJGZOAee2/4gvvZfSurs20lrCcazPdgkF3t9L2KTnIiCSMHI4lHK8VuqH/Ywf+ExzVJpQe+VUWwu6z1HWLbYXHJ5jYnpGOFo+qH2Av80EollmA4lSGUeYg+KTyFFTWd8Oko4ml535KmQL66YmVHfXslo3zQ3L41Q01ROTVM5Nqe1lAJ/W7BBlAQc6+i7ucUW68WiyrQ2lnP5+jg+r4PaKh+CAMOjc3R1TyCJEm99eB2300ooksLrtpGZv1/oukEklimVHayx8LKvoZoyp+NBfaQHzs7aR2elYlNqYLN6lonsBF2JLgZSA8SLcQp6AYfsoNZeS5OjiWprNXZ5aRRxKjvFhegFbsRvYJWsBG1BJEEiqSUZy4xRMArIoszTZU+jiMvTNe2ygt9iI17I8fuXPiJod+JWLciCuGqa0P/9wHOPnIC9kbgEgFWy4ZDcTOZG+WDmp1Raa0hpSXJ6Fotopc3Vueo+dN1gamSOG+eH+If/7rdwej9xEA5NRjEME7ffyet/7UkkWeTf/INvEQ0lmJ2IMNQ9QXg2zuc/8xS6bvLtf/82U8MhsqkcvjIX7oCTaCiJVtTpPNJCz4VhhronmB4NU91UzitfP0pkJs4f/pMfMHJzms4jLRx4ZhuTQyEmhkJ88feevW2sOtsONPLy144yeH2c7/zH9whNxhAE6Lk4TOvuOjoPtzDUPcGlE71Mj83R4q4FwO4s9Ypr6KgCWKx9atxWRW1r6Yd2/CeXGL45tbgtnylw5KVOGjuq+PlfnmZ8cJZcpkDLzhp++mfHiUfSqDaVWDiFxaZS2xLc6K94i3nKrfXYJBetrv1Igky5tX5xm13y0Ozci0t5tNq//CIRj6SIh1Ok4llunB9irH+GyoYyrp0ZQL0lJT4Q9FDTXL7ifTSbyjMxFCIRTaMVNGRFwu6yEgh6sDutK0ZZsuk8sbnSAlohryEAqlXBE3DiK3eh3NZkXtcNoqEEM2OR0qTXYSERyxANJSjMT5RVq0Kwzo/TbUOar8nSdYNsKk88nCSTylPIF0uRH1nE5rDgDbjwlZci0wvHSyezzE3FyecKNHZUEQ+niM0lyWeLCKKAw2XFW+7G43csvsfQDSaH50hE03jLnKtmbMTmkkyNhhFFgdZddYji2jWWhmESS2RIpktGfKFIirOXhzHMkpAYGJ3DZlVWPMftTRWrtneJxjNMh+KY8w6cAa8T3TCIxTNEExly+SK6biIIpUmf024h4HOs6WhtmibJdJ5YIkM6kydf0DFNE1kulVd4XDZ8HjuytPrzeGE/uXyRZCpPMpMjmyuiaQamaSIIAqoiYbOpeJxWvG7bYu3c7fsoFHXmoily+SK5vEbPwDTD42EAUuk8l7vHV2yF4XHZaK4rW1JTPh1KMBdJ4bCrVAe9ZLIFpmbjFDUdq6pQHnDicdkWv6+ZcBJN07Hcsm0tT4l8QSORyhJPZMnkiui6UfqsqlQymXLbcDmsq563VCbPyESEfL5IQ20Aj9NKvqARS5TMcwpFrWQQJ4nYrAo+jx2304qqLJ8CGoZJIpUlkcyRzReJJjKcvzpKfr7n/MhEhEvXx1acxLfUl+Fx2ZgcnuPmpZFl23WtdE30XBhmenSOPY+34avwoFoUhNtq+B1uK09+Zu+q52yLLe4Wu03lqaNtfOcnF/jhm5eprCgFgaZn40TjWXbvqOGjU71ouoEsiRSLOr2Ds1QFPSRSObq6x6koc2FdxTkb4Nce20PuFzg7xml9dLJXNk3AXo5d5mr8KnkjX7LDRsDAQEKizdXGK8FX2OXdhcgnD7Oh9BDDmWGskpUOVwevVb6GVbJyPXGdU3OnmMhNcD1+nV2eXVRYlq8CXAhN8Cc9FxhKRGhy+aiwO7HKMuIaRbBW6dGzw48XI1Raa/EqAeJalP7UdaySja/UfZPZ3CQfh99mJj+5poAt5jUK+SJ2pxWnx7Z4jheinnanhfJqH/L8A9zutGEakIikicwk6L86ynf+43sAKKqMKIkl92KLgt1hJTvfSVlRZXTdIBFNI6sSbl9p5UlWZCpqfcTCSYrzDz6ThbYh5pIHsb/Cg8dfsj+XZAm7w0o+WyCbyhMJJTj51lW6LwwB4Ak4MfRPIg/lNT48gU8WIEzTJJPK8fNvnyabyiMrEsM9k3gCTkyjNEn1lrlQVAmE0kPSYlVIJ7IEgh72PdXBaN80kdkEdqeV8mrvL7yR0sPGqfhwKr5lf6+4RcxusTncvDzCqZ93cfPyKLMTUdKJLIlYhn/1d/58yW/0hV85xDf/8ReWNYcvFnR6u0YZ7Z3m+rlBEtEMdqeVhvZKXviVQ+w+2orbv3Q1Op8t0Hd1lJNvdXHt7ACR2QSCIOCrcLP3iXae/9IBapsrUG6pTyzkipx6+xrf+jdv8c1//AVqWyq4eOwmZ9+7zuxEFNM08Za5+K3/22fYdaQVu6v0m82m8lw7O8DJt64y2jdTErz5IqpFobqpnEPP7eDlXz2M3fWJOBjtnebH//U4I73T/P1//Q1Ov93F+WM9zE5EEEWRxo4qnnhtN099du9ihEgr6vzkT49z6u0uHnt5F3/9f/sC8m3iQNcNLn50kz/9/7yB2+fg97/zd7BYlTU9GoqazskLg5zrGmF8KsrUbIJ4Mru4/Y++/fGq7/33/+Rr7N5eg7SC6Ll8Y5w/+e4pDMPgq585wGvP7mQmlODY2T5OXhhgfDpGOlNAkSUqAk52bavhSy/vobm+fJlprGma6IZJMpXj/NURTl8aontgmlAkiaYZOB1W6qt8HNxdz1OH26gJerGuUntqmiaJZI6+4Vku3xjnet8ko5NRYoksmqajKBIBr4Pm+nIO7q7niQMtVMzf/2/dn2GYhCJJ/uqNi4xPRRmfjjEXSS2KsIHROf7+P/veiuftiYMt/LO//znEW7LE3jl+gx+9e5VtzZX87q8+zuXucf7qpxcIx9LUVnr57Au7eOpgK4Wixrsf9/CTd68STWSpqvDw2ec7efZoO5Xl7hWFdjZfZGQ8wtkrw5y7OsLQ2BzpTB5Flij3u9jeWsmR/U0c7KxfVbAPj4f55//hLUYmIvyv/9Mr7N9Zx8hEhBPnB7jSPcHsXIJ8QcPpsNBYG+CJAy0c2dtIXbVvmYjVNJ1zV0c4eXGQ8akYk7MxYvFPrrlv/egc3/rRuRXP3b/4X77AEwda6DrVx3/9Fz9Z8TULxMMpRnqmVt1e01Kx6QLWNE2KRZ1CXqNY1NB1Y7EGUhRFZEVEtSioqvwLa5T2qLDQD3gz08qdDgsvPb2dcDTN8dN9nLs8DEDA5+T5J9r58mf2c7FrlJv903S0VnK1e4KPz/Vzo3cSXTe4dnOSr3/xEB736iV8LRWBTRs/QKGglRYYDbPU/9a2tNZH1435hcPl81ZNK5lICvOtMtdDNlckny+W3mNV7sl7YLPYlJGYlHq8LmShLZgwZfQMBaNAb7IX3dSptFUStHwS3YoUI8QKMYLWIE+XP02rs+RKW2OrwTANjoWOES6E6U32rihgZzIpwrkMn2/czj8++AKqJN3R4/hRrJHVjCKyqKKKFsK5WcYyg+zxHsUm2Sm3VmGYJnk9u+Y+LDYFi00lGU0Tj6bw+J1LHnoL7qa34wk4Cdb52fNEB7/7v34OQRLRNR1JEjn+08vk0vkVJ1yBoJfR3inCUzGglEI03DPF7sfbsVhLq/amYaAX9E+sVm8Zy+1DEQSBilo/5dU+Dj67naMv7wKhdJOTJWlxtVYoWbUuvq+Y1+i5MEJ8LsXnfvspqpvK+fEff8RQ9yRQemBNjc6RyxYwDZN4OEU2ncdX7sZiVXj2Cwf47n96j0K+yL4nO2jbXbfmed5ii08zgaCHvU900NpZx80rI3z4o4vUNpfzytceW2LiVNcWXNHl+Pq5QW5cGEKSRHYeasbls9N7ZYwrp/oYH5zl63/7JV748qEl77n8cR9//q9/RmQ2SfOOavY83oZW1Ll5ZZQf/ckx+rvG+I3/66vsPNS84pgHb0xw/I3LTI2Eae2sZdfRFhKRNNfODmJ32lCtnzyYo6EEP//L03SdHWDb3nra99ShWhWmhufouTzCcM8k+VyBL/z209hdS2utZ8bC/Mf/x/cITUbpPNRMx546xgZm6bs6xsTQLKlElq/8jecBUCwybbvr6b44wmj/DGMDszRtW5r6Hg0lGO2fQSvo7D7ahsV25wlEvqBx7uoIH58fWOynKEviYiqnIq/uPi2Kd/b4z2QLpLN5+oZm+C9/+THnu0aXmELl8kWS6RwIAp9/YfeK+zBNk5m5BP/hz45x9sowuXxxiTlhJJYmEktzpWeC90/18te//iSHdjdgsy7//Cbwl2+c58fvXCWeXG5QpekG49MxJqZjnLs6zEdn+vgnf++zuJzWJUJdNwxC4RQ/++Da4lhM00QUBIxbIrkrUYqUrnzmwrE075+6ybd+dG5RDPcOzfLdn11kLpLCabfwx985iT6/yDo8HuYvfnQOBIFffX3/ssUETTN47+ObfP+tS/QNh5Z83qJmMDIZYXQqwqlLQxzd18Tf/q1n8bhta36v06EEf/Wzi5y9PMzoZGTJdxFLZLl8Y5yungm6B6b51df3s6ujZsn780WNy9fHOX6m/66vOWk+y6t5Rw2f/e2n1hjlnfEGNt8GSNcNbnSNc/HsID3Xxpkcj5BM5hAE8PmdNLcGOfJkG3sPNFHxKTWa/LSQSeYwdHPZgudGY7Uo/NZXj/KV1/cTiqQwDAO/x47XY0cQBJ59vINnH28HBJrqy5BlkTffv4am6Rzc08Brz3US8D28FOFrPZO8/1EP4WiKJ4608tmXl96XZ+eSFIs69bXLM9dGxyP0Dsxgs6k883j7uo53/FQfx07exOW08vxT2zi8v2lDPsdGsGlS2i7ZaXe181LwJfyqHxGRnJHjSuwKZ8JnCBfCnIuc4/Wq1xdNmQpGgYJRwCJa8Km+Ja12Wp2t9Kf6GU4PM5mdXPGYVQ4XO/1B7IqKTS59tE+jw6BDdlE0cszmJ5nKjpLU4uzyHEQWZIpGATARWHuVShAEGtureOIze/mDf/xdVIuCaZi8+NXDVNavvkLk9Njp2NdIPJLm//gH/x1RFDAMg6/8zRcWVyZXorI+gGqVufjRTf7V3/4zZEWifW8DrZ212JwWEKC6sZy+q6P8y//5v1JZX8av/71X1/wMgUoPh57bwfWzA5x6uwtBKDU3/7W/88qqzc9lRaZxWxVvf/sU3/vP7+MtcxGZTSxxObY7rfzkT46XVvRVmT2Pt+EPuhFEAafXjsNtQwvr2F22rRqcWxgZmeO9d69z7MPuxb8JgsDf+B+f57HH29a1j3A4xbf+4iT9/TP8zu8+zfbtNVjWSMfZYnOpa62kqqEMragjiHD8jSsEKr08+foerLes7MqrrLpGZuI88doePvubT1LVUIYoCRTyGn/2+29w6Xgv/V3j7DrSSkWND8MwyCRyfP+/fAAmfOP/8gqHn99RujeZJulkjv/2r9/k6ul+Lh2/SVmVl8q65feq9753nqc+u5cv//XnqG2uQJJFDN0gny3gK3cvcTctr/bxW//L62CaONy2UmqyKJDLFLj4UQ9/+vs/48QbV3j160eXCdhiUSefKfAP/+1vUlFbylbJpvIc/+llfvynx/nghxd45nP78VeUjrltXwPXzw7QdWaAS8d7lwnY0d5pBq9P4Ak4OfDMNuDOzyenXeVv//azfPPrTwAQjqZ450QPP3rnCqYJf+d3nmP/zroVo0MVty1arkQmW+BC1ygDwyEGx+Z45kgbu7fVUOZzoBsmc9EUI+MRZFmkoc6/YsvOkYkIf/7Ds5y9MkyxqHN0bxMHdzfQUONHkSVm5hJc7Z7g3ZM3GZuM8q0fnQXT5MlDrcuEkAA0VPtpaSgnlc6ze3sNHY1BKsqcyJJELJnl8vUxTl8eYmwqSv9IiO++eYlf/cx+3LfcqxVZYntrJX/y+7+5+LeL10b52QfXuNY7RUdzBf/of3oVdYXr2mZRVm0R0z88S1HT+dXXD3B4byNnLg3x7sc9TM7EeevYDWoqvXzuhd288Pg2+kdm+c4bF5meSzA8FmZiOkZ99dJJ5ZvHrvGT97oYHg9TEXDy5MFW9uyoIeBxkM4W6B8OcfLiID2D05y7Mswf/Pkx/t7vldr/rPbd/vzYDTK5Al63jS+9spf9nfX43HZSmRw9A7O8dew6s3MJzl0ZptzvpKW+HPstv3WHTeX3vvY4X//8QQASqRzvfdzDD9++Qr6g8Xtfe5ynDrWueM2V+Ryl9Pjd9dS23l/pzWZGPItFnYtnB3n7p5cZ6JsmEc9SKGhomr44z8nnY4Tnkly7MkprRxUvvrqLp1/cuRWJ3SRunB0gnczx3G0LnhvJoqYQBBx2y2IUUhSFxRI7YaHnFlBb5eM3vnyEL76yF8M0sNtK6fwPs0fxjo4qRKEkZFeak1/rniCRzK0oYGtrfATL3cvS9dfiiSMtSJLA5HTsfoa9KWzazLHWVsurla/S5GhCEUo3W93UsUk2NFPjw9kPGUgNLHmPYRoYGIiCiCouDYtXWCrwqT56kj3EirEVj9nk9rOnrIqzM2P88wsfUOv04FRUZEFarVc2hyrqqHI8WobfTY4OuhOX6E91I4sKTY4O/Go5AiKxwhwCIhZpbWdWQRDwlrt4/NVdtO6uQxQETNMkWOfH5rCw/5ltFHKfmCy89huP43DZcPscONw2HG4ryWi69Gs2TSpq/Lh9TgzDQLHIFPOl1WerXcUf9OArdxGs9ROsC5BL5xElEZfXjtvnWLwxbDvQSHm1l3yuiNVuQVYkgnV+XvrVIzjcpclHZX2AL37zGcqqvFhsCp1HW6hpqSCfKRl6WWzKYtrza7/xRGmst0w8RUnAG3Dytb/1ErpmICkSpmFitauIUin1yhNw8viru0upxBYZX7lrMd1CkgSyqRw1TeWUVXk2NZ0lWkhyMdLPz6fPA9DqrOHVqoPUOx6dIvlb8Xjs7N5dj6rKpNJ5Pvqwm0gkTWb+u1kPum4wN5dibi5FsaCzZef3cFEtMqpFRtd0LFYVAUpp/C4rNvuda12CdQF2HGyipbO2lA47z/YDTfRdHSM2lyQeTlFR46OQ07hyqp/JoRBHXuxk+/5Gyqq8i5MKp8fOwed20HNphMHuSWbGIysK2EClhx0HmmjfXY/VXnpO3Bq5unVir1oVaprKEecb3S9sc3lNaluC+CvcTI+G0YvGstIGu8PKzsPNNG6rwuYo1ZK6vQ62H2ik++IwNy+PcO3sAI+93IkkW6io8dGwrYquM/10nenns3/ticU0aMMwGemdZnI4RF1rkLY968vsEEWRMt8nJRKqIuF2fnK/K/M6qK289zKHTLbAjb4pmuoCfOMLhzm4ux6Py4ZFlTHNUgQ4ky1gYmJZoV4yEktz6cYYpy8OkctrfOGl3bzweAf11X7sdhVREGhtrKCjpRKf185P3uuibzjEhWujNNQGaKhZOskSBIF9O+uorSqVFCzUflrUkhljQdNpri8j4HPynZ9dJJ7McvLCIJ97YTdu19L9WC0KdVWflCaMTkawzE9YLapMTdB71210TCDgdfD5F3cT8DmoCDjpG54lFEkRT2Zpb6rgq5/ZT1W5h4YaH5eujxFLZAjH0oTCqSUCdmA0xMkLgwyOztFYG+Azz3VydF8TXrcNVSmV5rQ1VlBb5eWtYzc4fXmI812jXLw2xv7OuiWi81Zmwkkaqv187sVdPLavGZ/HjqJIaLpBa0MFdpvCT9/rYnQywvB4mMGxOTrbP1lsEUURv9eB31uKMkXjGdy3pNj7PHZqKr1r1vRarMqS+8GK59I00TWDXDqPCVhtKrIqbWrQwTRNwnMp3nnjMic+7GFyPFJ6fpkmbo+dYKUHp9uGrhlMjIWJRdNEs2muXRmlWNQwBXj+5V2bNr5fdEb7phm8NrbithvnBvGVr25MutGIokA2pxGNZ+bLJUR8Xsdimj6Aokh4PXY88/PTjbo2r14fZ2h0jmQqRyqVp7E+QE//NE8eaaXM72R4LIxFlXnsUAupdI4fvnGZg/saaKgLYLOqOB3WZSnA4UiKy9fG+OB4D6l0nngig8Nu4Vc+vx9JFOnpm+bKtTEKRZ0dHdUc3NuAYZiMT0a4cGWUVDpPPl9EUWS2t1cuRloddgtOh2WZX4BhmFy+NsaNm5Ok0jm8bjs7tlWze0fthpyj9bApAlYVVcot5TQ5mpYIUUmQCKgBam21WCUrkUJkRbdLAQHxtgijU3Zik2wUjSJpLb3icUeSUY5PDtEfD9MdncVnsWGRpPk625XHGrS7HjkB2+4q3SCn8+O4ZC8drl0o8+dRN3UaHC0ErTVr7QIo1acGKr0EKr3Ltllvm5zWt1V+8j6LjM1RDrcZkSyIzNtxeT9Jp1gr/cPjd+LxLzXMsjut2G+ZkNmdVhpviVys9J6VxryAIAjIqkxL5/IJYi6TRxBAURVqW4PUNH3y+TLJHIM3xrl5eYRctkBDRxX+is29meb1IhPZOc6GbwKgGQZPlq9e1/ywcTqtbNteRX2Dn3Q6z43r48Tja6ey347LZeX11/eQSGRpaCzbqi/+lBOs81PVULZsshoIurHYVXLZwmK9fLGgLf6++q6O8r0/zC/57Zumydx0nGQsQ2yuZCy1EjVN5VTWBRbFK6w+sRAoGcfcvDTCxFCI6FySXDpPsaAxNxUjGkqWjJ2M5e6qVrtK47Zq1FtEjiiJ+Cvc1LZUcO3sAEPdExyadylXrQoN7VXUtgSZHJ6j9+oo2/c3IskSc1MxxvpnEUSBtt11OFe5lz5odMNEVSTamip44fEOyla5167G+HSMC12lyU+wzMXLT22nozm4ZHJltSi4HBZee7aTM5eH6R8J0Ts0S/9IaJmABSjzOynzOxFXqPVUVRmHTWV7WyVN9QHOXx1hbDJKcd4caLMzrhx2C3XVPqqDpYye6gov1RUe7DYVRZaorfJRX+0v9cO0OKks92CzqWSyhVIq9i2cuzLC0FgYSZLobK/mmSNtVNyWNmu3qRxQ6wnH0ly4NkoskeHkxUHamytWFbC6bvD4gWYe29e86LIKYKEUXX3mcBsXro4yMhEhnswyMR1bImA3m3Qiy2jvNN0XhpgeC5fKkgCLTSVQ6aGls472PfVLvC02kmJBY3RkjqH+WUxMWtsr2bGrlqbWIP6AE4tVwTBMopEUl88NcencEKHZBL03JrHaVHbtqSdQ7lpcmN9i/UwMzHD1417qVpi7peJZnJ47t4e8X0zTJBbPcubSEDcHpglH0xQKGqIo4nJYqKvx8/ihZmoqvVjU0n1so+8rkViaaCyDIJTKNKZm4nhcNoZGw2iawdR0fPH3XSwa9A3O0NZSgb6GC7jVolBT6cXrtSNKItvbq1BvMUP0eey4nFZGJ6LMhZMLZ4N0Js+17glamytoaqhibCLChSsjtLcES+UKK3x2XTeIJ7KcPjdAQ30ZDbUBRsbD3OiZpKbK98BSrDdcwIqIyIKMKqrLoqgAoiCiiAqKqJA3PrGzX3CIXXWgoowsyKX6WmPlXmRWSaHVE6DVs/4iarfy6DhqLRCwVLBLOkSLtgNVVPGo/lu2BfEoflzKVj3G3SLJEuXVPg48u235BFIoTU5lRWb30VZqW4LLRP6tFA2N/uQkE9k5Kq1+Or2Nmzv4RwBZFnE6rTidVnK5IlaLctepNDabyuEjLZs0wi0eNG6vY0UxJityqfxAM9B1HSg59c5NxdA1g1Qiy+RwCElavoDR2FFFbXP5qiLPG3CWyhLugKEbhGfinH77GldO9VMsFJEVGVkpRXlS8ezi2FZ69EiyiMtj5/Z6SKvdgtvvKDkjzyUxbplU1LVUsG1fA/3Xxjnz7nXadtUhyRKDNyaYGJolUOlh56HmR6q0pabSy4HO+rsWr6ZpMh1K0DMwUxLBjRU01PhXNAcRRYG6ah8VARdjU1GmZuOrpqRJdxAGgiDgdlqpKvdgmpDNFdB1/XZrhU3BblWWRMQX+kraLAo2q0K537nknuiYF7ZFTV+smS3NdeBqzwSReIaKgIvm+rJl4nUBj8tGTaUXj8tGOJriRt8k2dzq/VgdNpVdHdUEy1wrLtxXVrjxemzIski+oJFM5Za/aJNIxjNc+biXEz+9TH/XKPlssVSzbpbMaWRForZ5kCMvdfLk63vxlm1scEEQBJwuK/sPNTM5FqG61s+eA4107qmnssq7mN0Fpe+prr4MwzA5faKXVDLHUN8M16+O8cQz2xDVLQF7t0iSiLfCTccKdZSZdP6OUfv7xTAMkuk8P3v/GsfP9JFM5RaNiXTdYHQizOXrY8yEEnzmhU5aGspXLDPYCFxOKwGfA6fDiqbptDSVc71nasVey2tIo0UcDgvtrUFqu3zE4lkeO7R0nlUZ9NDcWE5mhfZWgiDQ0ljOwX2NXLwi88GJm8yEkrhdthXvIZpmMDkd42b/DAG/E4dNJZMpUCjqxGKZT6+AtUgWREEka2TJ6Tmst6W66qZOTs+R03MICKS0FC7ZRcEooJvzkwnMxTYBC9z679V6FB6sqKHTf3d1F3Zlc38w90Jez2IVbTityyOA5ZbSypVpmujmfJuCFXrqbrEcRZWpbiqnuml5iwu708qOg83sOLiyccztxAopjs12cSbczWNl238pBOy9kkrlmJyMMTubWPL3nTtr8HjsSyZ8pmmW3P6ujaNpBvX1ASpWiYSPjMwxM5PA67HR2hZcsiKeyeSZm0sRCafmJ3smVotCoMxFRYV7WeqgYRjMziYZGwtTXx/A7bYRi2WYnUmQzRZKKW5WhbpaP16ffStyPI9ikVetj70dE7NUY2aa7H6slR0HmrC5Vi6FcLptSzIklhxTVZbUua5GKpGl6/QA3/lP7yErEo+/spuWXbUEKjzYHBbGBmaIzCYYT82uvpMVWoiLkogsy2CCoS99Gvkr3DTvqMHhtnHpRC9f+J2nESWRvq4xIrMJdh9tpWn7o9XXuMznpKHm7p0zNU0nFs8QiqRQZQnDNDlzeXhFc6YFMtlSuUEinSOeWj17Q9N00tnCfEueArl8EU030HUDY144h2OlTCyTUjobprmsl+hGo8jSssinIktIkoiqlKLDtyJJJbNEwyg5NS+QLxSZmo0vCtHJ2Tgfne1b9bj9w6HSgpBpMj1XatGzGuUBFz6PY9WJtySW2hqpsoSumxTX2NdGM3h9gg+/f57eK6M0bq+mvq2ylLVlln6vUyMhRnqmePvbp/EEnDz12X0bPgany8pTz+/ANE06dtRQWeVdUTgJgkDHjmr2H25mbGSOmzcmyWYLXL86xpEn2lFWDoBvsQa1rZV4y920721Yts3QDXKb3KM5l9e4cn2cH//8MuUBF08ebqW+plTuUCzqzEVSdHWPc+JsP16PHbfTRk2Vd1PGosgiVquCqkqoioQsiZiGgcAn8yDTNDEMg1Q6v/6+3+YnAcH1LpQqirRo+idJYmnRraixzHF14RCmST5fckMen4ySzuSRJJGGSi8W64PTIxt+JLfsxipaCeVCDKYHl9XARgtRJrITxItxbJKNK7ErtLvaiRfjxItx4BOReysFo7AYsV0psgtgkWQs62iLUxJ/JuliYV0rGw+asewQbtmLXy3HxEQSJEThkwlzwciTLMZJajEM08Cj+PGqgSUtibbYXMYyc4ykZ4gWkqS0B7eC/WlkLpTkg/eu89FHNykWdRKJLMWizr/4f/8q+/Y1IopLxaCm6fzpnxxndjbBr3/jcV55ddcywVgsavzsZ1c49mE3hw+38Lf+9kuo8yvimUye69cnOH2ynxs3JojHM5hmKX25s7OWZ5/fTmtrEJvNsjjf1TSDC+eH+PM/O8Gv/fpjNLdUcOnSCBfODzEXSqHrOk6nld/8rac4cKAR2fkLKGAXbh13cU+8zQR8TURRxO11IEoiwboAe59sp7x6efukjWJ2IsqFj3pIxbN88fee4fO//dRiRMc0TfK5woqpwwvoukEmmV22/F0saOQyeURRwOlZaughSiLBWj87Dzbx4Y8uMnB9nPr2SoZ7ppAkicaOqsVWY48KVquypK52vWRzGulMvtRrVzf4+PwAH58fuPMbKUUuC8Xlwsk0TVKZPNOhBH1Ds1zvm2JsKko4mi6JWE1H042SwdZD6LUoSuKyWjBBWJj4CWsvbM1fRsZ8q6B8QcM0TYbHw4v9addDNldYczK7UPO6Fgv14Oaq4YDN4erHvYwNzLD/6Q6+/ndeobKhbMn2yEycd79zlnf+6jQf/fjipgjYhXYgL7++d12vr60PUFXj4+aNSYpFnZnpOMajOHH8FHBr8OD2jMuO/Y1rPntMSvfkdKFAtlhqI+NQFRwWFUWSSmJv/j9JLDXPvH0+nEzleOPdq8iyyG985Qh7d9YtyRgxDINXntnBP/+3b3L52ihtTRWbJmBXSxexWEs9kWOJLJPTMaKxLJFYGt0wME1IJLOEo2kSyRwWVWJ2LoHXPf+bF0r3oHxeY2IqhkWVKZtPxY8nskSiaZKpLIZpMBdO4XJaMM3SttlQksnpGDOhBJqmU17mwjRLtbXRWIZkKk80liESS+OwqVRXeamr8fPU0TZqqn2YZilI4PNtfhr4AhsuYKusVQStQfpT/fxg4ge8UPEC9fZ6LKKFSDHCucg5LkQuYJgGRaPIX4z+BTvdO4kVY8zkZgDIG3lC+RCNjsbF/UYLUZLFJKqo4pTvrzbCxCSWz/Le+ABHgnU0ujdvEnUvfBR6k0Z7O+2uXRTNAn61DJfsQZgXqBPZEY6H3uRG4hKyoFBnb+ardd/Eo/iR+AWcWD+CjGdCzOajD3sYnwoqq7x89nP7OHiomcnJGD/8wXnGxiIrvrY0uVDp3FXLO29fY2w0TDSSpvy2KOzkZIzxsQhul4329kpUVV58IF66NMJf/LeTRMIpWtsqOXioGcMw6L05zdtvd9HfP8M3/toTHFollXNwYJZLF0eYmIjSsa2K/fsbSSZzXOsaw+FUH+gK44NCEIVFZ0JD1xdXcTdyQUxWJJq2V/Pxm1cY6ytFP281cVpgNUOmuyWbzhOZSSArEnsea8Pq+CTt2NAN0vEsc1PxVd9fyBWZHAmXoqxy6VyYpkkylmZmPIKsSFQ3liPdJlrKa3zsf3ob7//gPKffuc7cdJy5qRj1rRW0dD44g4v1IorCPTmrFnVtSfROlkVkSWQ9ibyCwPxrb9tnUefEuQF+9M4VrvdNlTwNJBFVkfB5HQR8DmwWhWJRZzaSZOq2rI7NRmCt1nvL28GtiAnZfHFRhIpi6TOut6ayJD5X364qq7e5edjMTcfwBJzse2bbMvEK4A966DzSwsC1McYH1siMeIBYbJ8YUi0YTz2SkY9PEaZRysbRijqGbswnTwgo6srz14Wg01QiyemhUS6OThLN5niqpYFn25up8boxTJNUvkA4naHM6cChKsvaVuULGt190zzzWBv1K5Q7iKJIwO/k8L5G3j52g3A0tSmfXxJFJElEkj6594qigKxIlPmc5LJFPjhxk3/7n9/H5bLSWBfAosoUNY0z54c4caafcCSNLIlMzyb46ucPUFXpRVEkGuoC9A/N8q//4G0a6gL8rW+WWr29e+wGF66MEo2lURWZSDTD6y/vwjBM7FaFk2cHOHGmD6tF4fD+JirKXOTyRX7wxiW6e6dJpXPc7JtmLpzk1Rc6CZa7efrxNt79qJt4opRNs2tHDb/6hYNIDyi9fsNnYm2uNsayYwylhxhKD/FnI3+GJEgICCXRahYxTIMmRxMvBF/gO+Pf4Xrieil92ASP7MHE5EzkDB2uDlyKCxOTrngXQ+khnLKToPX+7Nl1w2QkGeWPu89TbnM8cgK2YOR5b/aHfBj6KQYmFZYqXq/8Oo3ONiRkrscvAPDZql9DEVXOR0/wUegtXgx+Aaf84FzcfpkZz84xm4shCVt1MHfCYpGprPJSEXQTDHo49mE3ExNri//9+xu5eGGYoaEQA4OzywTstWvjzM4kqG8I0LGtCijNKdLpPN//7nm0os43/toTPPP0tvm6JhOtaPBHf/Qhp0/3c+HCMNXVPurqlpvIfPBBN889v52vff0I9Q1l862kSg3v7Xb1F7KNwsLCgcWqMjsRpZjXSm10NnAebLGqHHlpJz/50+NcOtFL2+46aprKlxl3pBJZZFlEtSjLxOHdHU/B5bVhGiaRUAL9FrE1fHOa0+9eJ5POrRo1S8WznH//Bq9+7QhlVV4kWULXDEZ7p7l6qh+r3cL+pzpQb5sE2ewWalsqaOyo5tqZflKJDKl4hkPP76Bx/lr9RUCRpMVz53Za+dIre3n2aDu2FWpglyGAcwWPgQ9O9fLDt6/QMzCNz23nyN5GXnpqO401gU/S3AQYHo/w0/e7eOP9axv9sTYfoWS4srBgtG9nHa89s3P9RkoCBDe4NvRBISsydocVq231GnZZlbE5rOsuTdhsCrkihfmuC7Is4Q847qoNyRbLiYdTvPkXJzjz8y6SsTS6ZuAJOHn2y4f40v/w/LLXm8DJwVH+7PRFLo9PUZxPr63xuDnSVErD1wyDqxPT/NOfvc+vHdrDl/bsxGtfmlliGCbZXBGX07riAtoCTqcVwzDRtNUzdO6HIweaSn2p5+cWUMruaGsJosgSdbV+DsynWc83AsFqkZEkkeef2saTR9swDBNBKKX83upHsm93HTu3VWMYBtK8+z7AZ1/ewyvPdy6+T5YkFFUincrhdtt46UAzOzqqSkan8/d1q0Xh179yBE37xKVfUUQsqowgwNEDzezf3bC46CzLyzNUNpMNv0PYJBsHfQcxMTkeOs5cYW7Z9k53J89WPEuTowm37OZy7DLxYpxKayV+1c9YZozTkdP8+4F/T7laTlbPMpmbJFqI0uJsYZtr232N0cAkWSyQKubR1kghe3iY1Nlb2OU5iF1yMp4d5uPwO9TYG5AkmYQWwyl7aHftRhZLvWHPRD7k6fK1+6pusTGEcnGmc1HSWg638uDSJT6tCIKwuNKorDM60NZeRWWll97eKYYGZzlypGUxAmaacP3aBKl0jvr6wKII1TSdS5eGmZ6JcfBgE9u3VeFyf9L+wTRNDh5soqtrjJHhEJOT0RUFbFWVl87OOppbKhbbbpTev/B5NuCkPGIIgoCvwk3r7lqunxnkP/+/fkD77jpUq0I+W6SuNbjYu/ReESUBb5mLL33zWX70xx/x0z8/Qf+1MZp31mKzq6QTpYjo0M0pXvv1xzj8/A7s95GqHaj0sP1AE6ffuc4P/uhDIjNxvOUuwjNxei+PMtY/Q21zBdOjK6dvCqKApun8n//wr9h+oAFvmYuZ8QhdpwcwdIMnXttNsM6/rB5XEAU8fgdHX+7kO//xPTKpISpq/dS1VCxxTv60Y7UqOOwWJFHEnDfhCQZcOB3rM0a8Nbq+UPN1+vIQg2NzuJxWnj7Sxq9//iA+jx2LRVmSEmi1KIv94z9tiIKAx2XFopQmgbpuYLXIi87G69rHp1RA1bUGSURSzE6snIFjmiaxUIJENEX7nvoHPLqVmQslicy7tqqqTG1D2R2NxrZYm2w6x82Lw/zu//ZFPvrRRRq2VZFN5bDYVl78ujE1w9s3+hgJx3i8uZ6dVUH+8MTZ+bTa0oNZkSS8diteu5VTQ2O8sqMNL0sFrCSJeD02Jqfj5PKrlyBMTscQRRHrJvWoX60+fUE4ypRafa2ExSIumZcs27cio67Q8sxqVbCy9H2GYYDwSVq9a4VSktXczqH0OTbL5Go9bLwLsSBSbinnscBjVFurmcxNEivEMDCwS3YqLBXU2euotlVjFa20udrwqT7yRh6H5MAiWXApLvrT/QymBpmUJtEMjaJZJGgNssuzi1rb/aVhmSZktOIjW8cgINLoaGeX5zCKqGKXnPxg8k8Xjax0o4gsu3HIThRRpdrWQKQQQjfvvSboUqSfM+EeBEHgkL+DnZ4GJrJznAhdZzYXwyoptLtq6PQ2UW0LoJsG8UKaE6FrjKRnKBgaAYuLnZ5GOj2N2OS1JzGGaRDKx7mZGGc0PUukkCRvFAABp2wlaPXR6qym2VWFQ7auOVmZyUU5H+nlcnQAp2zj6/XPErC40U2d4fQMvclxJrMRUsUsRVPDIqr4VReNziDtrlqCVi/iKpHUZDHDZDbMRDZMOB9nLp9kOhfhRnwEA5O0nuditI9/dv1bq44voLr5ZstrSMLaNcrifC1VwdCYyobpSYwxmgmRLGYoGEUUUcarOKmzl9PmqqHeUXFXEeBIPslwepqh9DShXJyklqVoaEiCiEVScMl2AhY31bYA9Y4Kgpbl6Z0PCodDpbUtyNBQiNHRCLOzCYLzE7yxsTDj4xHKylzUNwQWb+a6btDXO0M2W6Tr6jiRcBrbbYIhGk0TCaewWhVSyZVrl6uqvAQrPcseEr+IwvVWqhvLeOVrRxEQGLg2znDPFLIiYXNakBSJA/e5f2G+PufQ8zuQFYlLx28yOTzHSO8MmOZ8faGMp8yJy3v/Rllun4O9T7TzmW88zuWPe/nwxxdRVBmLTaWqPsDzXz7E7ERkVQHr9jl44rXdTI9GuHZmkEw6RyFXxOmx8+wXD/DcF/cvi74u4HDbOPjMNn76p8eJR9IcfmEHNc0VG9J6o/SbFAAT3TAe2nNMliX8XjvBMhdzsTTX+6co6vqSfrt3QyqTJxROks0VqKvysb0lSHXQu+Jr05k8oUhyxW2rIdzyFDHNUsTmYfUgsKgytZVeJmdiTIcSTM0mEAThkRWmtz4fDcNcv6HMbex7qoN4OEn3hSHsTitNO2pweWwgCGSSOcb6p7n00U1EUWT/M9uIzMRLZZG3HM5iUx5IuxUAragzPDDLxGhJcDucFvbsb1iXidwWq2MYJlpRp3lnLVc/7qNpew0zY2EyqzhiX5+aZSgcobM6yO88fgC31cKfnr645DWiIOBUVWo8Hm5Mz1JcoeWM1SKzZ0ct125Ocur8ILIsEix3I4kihmmSzRW4cm2c81dGKA84CVb8Ynf7EASB6kovLz+7g4ryT19Wx6ZIZ1mUKbeU41f9tBZbSWkpDAysohWX4sIqfSJIVEGl2rY0dabF0cJLwZfoinURK5bEr1fx0uZso9PTiV22kyrm+ePu80uc/daLZhoMxMMki5vreHavqKIFm2THIlqRRRlVtJDWUvMiVUczi6VIFCAioYoWdFO7r7KMiewcJ+dukDeKOGUbDtnKTyZOcTZyk2ghhSrKXIsPEymkeLp8F5Ig8tbUOY6HrjGZDaMZOm7VwUBqipSW5ZmKPSvWCpmmSaKY4VK0n0vRAYbT00znovMiTUMAbJIFn+qi1l7GTk8DBwPtNNqDqNLKk8VUMUt3fJR3pi/iU108WdaJZupcivZzOTrAUHqauXyCrJ5HM3UUQcajOKi0+dnmruNwoIPd3iZUcfn+J7Jh3pu+RHdilHgxTbyYJq3l0OcXE4qGxnhmjvHM3LL3LlBnL+d3W169Y3WyLEoktAyn5m5wLnyT/uQkM/koGS2PZmpIgoxLtlFh9dLirOagv42jZduxiMqaE0bN0LkaG+JStJ++5ART2TDRYoqslkczDURBQBFl7JIFj+KgzOKhzl7G0bLt7PY2Y5UefNRIEAR27KzhypVRJiej9PfNEAx6ME2Tq1dGiYRTHDzURGND2eJnNwyTcDiFrunohkE6nV/Rkr69o4rqqlK/tJVwe2zYf4EiZevF5XWw5/E2bE4Lk0MhMqlS32S707qsdrNlZy1f+N2nqajx4VvhwVfdWMZrv/YYqlWlqn5prZu/ws2RFzupbixnfHCGeDiNrukoFgWHy0pFrY/GjirkW+qhZEWiY089X/0fX6BxWzUe3519EBRVpqapnNe+8ThNO6pJRDOYhonLa6OuNUhFjZ/QZJTyKi8Oz/KWPRarQsuOWvY81sb4YIhkLF1qxVXlpXF7NXUtFWseu6LGh9VuIZsu0LKzlmDt8mj/3SKJ4hKX31giSzZXXHHFfbMRBYGaoJed7dW8+3E3Q2NznL86wmP7m/G4Vu9zaxgLNW8sEfQLTr2mWUpFW+0zJVM5hsfDDI2t3/gIStGChUWRQlEjHE0vcw1+EAjz/W3376pnYHSO6VCc631T3BycZnvr6inmJUfSku2SJD44w0ZRFLBZlcUFvEQyRyZbWDVCtBYTQ7MMdU8y1D3JxGCI6qZybI6SmV4uU2B2PMLsRBSrXeXse9e5eKxnmYBt31vPy187uiGf7U70907R2z1JNJrG7rDQ2FxBQ1P5L2QZyYNElqVFQz1REui7OsrcZBRf+colcJOxBEVdZ3dtJbtrKskUiivOLxVJwu+wEc1k0VfIrnQ6LLz49HYGhkN8cPImoxNhKss9qBZ5vrdphpsDs2QyBV58ajuNtXfvzv5pQhAEPG47HvenM5NwU596kiDhVb14Ve9dvc+rejnsP0yNrYa5/ByGaRCwBKi0Vi4aOKWKBf5D1ykkQUQVpTWMFVYmr+tktNV7qT1MyiyVhPOzXI2fxSJamcyOYJecdMXPoYoWEsU4DtlNvBhBUAJEC3PYJdeqUcS7IVFMM5iawjRNTod7cMpWUCBaSNKTGANAEkS8ipOfTp5BFAQCFjexQopIPsG5SC8CAjs8DQStS2uLTdMkXEhwZq6Hn02epScxho6BU7biURxYJAXTNMnoeSayIUYyM/QkxpjJRXk+uI9t7josq4jYBTRDoy81zvXEMMdmrzKemcMiKrgUO37VhW4axIop5goJZvMxhlJThHJxVFFht3d5b7KioZHV8wiAV3HgVRxk9PxiCrEkiHgUBzW21W90FVbfupLdDNPkYqSPvuQEN+KjiIKAV3XiVZzzae8ZEsU04UKCodQ0Y5lZrJLKQX87srC6PL6RGOEnk6e5GOkjXkxjERXcih2vzYksiOimQdYokC5mGSmkGEpP05MYpcZexg53Aw/LF6yxsYzaWj/nzg3S3T3JY4+3omkGFy8OoxsGTc0VBCuXrpCa8xPgzs5a9u1rwLmKu6rdrlJV7V1xmzJvaf/LhigKuLx2Djy9jQNPr54uLAgCLTtraNlZs+prqhrKqFrBpGUBp8fG9gONbD/QuK6xKapM+576u04rVK0KDe2VNLRXrri9osbHzkMrt84yKdUlbT/YxK6jrXd1XK2oE51Lks8VqWkqp7alAucKIvluUVWZYJkbURTQdZOum5PUVvpob67AosqlyKKmUyjquF3WxZS0zaKm0svhPQ103ZxgJpTgJ+91USjqdDQH8XnsqKqMQMmcKZMrEE/mmIukCJa5aKwNLElPs1lVXA4LiiwRiWYYGJ1jbziJ3+tYdC0OR1Nc653i9KUhovHMXY3V77Evui3HE1lOXRjEamnH5bQiCgK6UXI3FkXxnlyZ75ZDuxro6pkgEk9zo2+Kn7zXRTpToLLCjd2mlqJChkEuX3J7jiayxBNZ9u6oxeuxI0sPRsAqskR1hWdRtHUPTNNcX8aOtspFE5zi/DXncljWXEwZ7pkiMpvA5rSQzxUY6p5Y9pqFHs/dF4ZW3Ifd9WDi5tFwio/e76a/dxrTMKmu9XH0qQ5sa/SH32J92F1WDjxXysRp2lnDSPckqkVescUhQF7TkQQRn31999DbHY4XsFoU9nXW85kXdnHm0hAXu0bJF/RSnSkgmKU2VM8+3s6R/U2LDr5bPJo8GlXyK6CKKk2OJpocy0XFAqYJbb4yGlxebHcQNreimwbjqThXwtMbMdQNp93VycXox5wJf4gkShimwV7vEeYKM8QKYRyyC93U6E5cwqeWM5C6QYOjFWWV9kJ3Q1YvcCMxQkbLs9vTyC5vE6F8ghPzkdbh1DTvmBeotgWwSipPlnfiVZ10x0e5FhtirpBgNDPL9fjIMgGb0rJcjPTz7dFjjGZmkQWJBnsFrc5q6uwVeBQHumkwl4/Tm5pgJDVDrJji7ekL5PQiNkmlzVWz5spz3ihyLtLLQHIKA4MGR5AWZxV19nIcspWCoTGSLgnjiewcSS3LpWg/TsVKm6sG623RzFp7Ga9WHyJd/KRn4Xh2jjcnz9GfmsQqqbS7avhS7ROrjskqqetK9Z3LxRlMTZHXi1TafDQ7q2hyVOJRHWiGznh2jt7EOCPpGZJalpvJcb43doJ2Vy1e1bFsAcM0TQqGxo/HT3E+fJO0lqPc4qHZWUWzsxK/6sYqKRR0jWgxxVQ2wmwuSryYwSqp7PW23HHBYDPxeOw0NJZx5fIIgwOzRKMZtKJOX+8MFeVuamt82G+ZTAiCgMdjQ5JE/AEnO3bWUL2JbVq22GIlTNMkncxy6XgvyViGZ7+wn/Jq34ZEzGxWhZb6MqrK3UyFEpy6NAiYTIfq8Lht8yYlBdLZIs8dbd/0hvIel40922t54fEOfv7RDa72TDAXSdHZUU1TXdmiEMxmC8zF0oxORugfCvHSU9uoCLgWBawglKJ8HS1BBsfCzMwlOHVxELfLSntjBYoikUjluDk4w4WuUWKJLE11AXqH1u9UGyx3U1/tx+O2MRdN86P3rqIZBtUVHmRZpFAoieyAz8ETB1o25XzdSl21j2eOtJFM5+jqmeCdEz0MjobZ11lLud+JIpdcR+PJHDOhBEPjYWZCSf7ZP/jcHU1oNhKLKtPSUE51hYehsTAXukYQBAhFkvg8dkyT+WuuwOP7m6laI+1yx8FmPPcpClYTORuFaZoU8hpnT/Zz+kQvoZkE/oCT3fsaOPpE26Ye+5cFp9fO0184gCgKHHq+k9qWIKIo4F+lDtymlOYhiWxuVXGqGwbJfJ6JWIIKlxN5hXINQRBQFYkvf2YfLY3lXO0eZ2wySiZTQFEkKspc7Nley75d9Tjs6lZbykecR1bArpfPN+7gs43bCNrXf1PMaRrvj/fzT8+/v4kju3c6XLtxyC6G031k9QxV1lp2uEv90JLFBIqocDl2mpPhd0kUY3gUP5+v/gY2aWPSACL5JB2uWv5ux5fxqAsTIJN3pi8SysfpTU6Q1LJ8vf45Xq8+jCxKjKRm+NOht3l/9gopLUtfcpzng3sX92mYJt2JUd6dvshoZhZREKmzl/HXWz/Dbm8zTtl2y2sN0nqebw2/z3szlwjl4pwJ9+BUrNQ6yrFLq6+AFgyNC5E+JEHksbIdfKn2CXZ7m1DEpZf6x6Hr/PeRD7gRHyFWTNEdH2UkPUu7q2ZJtNSnuvCpS1MkPYkxToZuAKAIEhVWH0fKtt/Tub6VwfQUkiCy09PI52qO8nTFLiy3pTVfjQ3yvbETnAhdI6cXuB4fpj81yS5vI7bbzotuGszkolyNDZHUsrhkGy8E9/HV+qcJWJan6himQaSQpC85wWwuRpOzckOi+vdDS3M5jY3ljIzMcfnSCIZhkk7nefrZbcuir5Ik0txSgdWqMDoSZnY2QWWld1ld2UL9liDcX5uWLbZYoDTpLaIVDQzdYHxglve+fx6rTeHgs9spXyXaf7coskRluZsvvbqX7791mblIindP9PDzj7qBT9Jy7TaVnW1Vmy5gAaqDHr7+uYMossTbJ7qJxDO89/FNdL17sT5XEErpzyWXShlFXtnM7YXHtzEdSnDi/AAjExH+4M+PlVKK58WaokjUBL28+swOKsvd/O//7s111wA7bCr7d9UzPh3l+Ll+Jmdi/Ke/+Gix9EYUBVRF5pkjbQ9EwAI8fbgViypjUWUuXR+jd2iGG32TGPNmdQvjkiURWZbweezIsvhA6/ElSSTgc/C5F3fzg59fZnImxkdn+vjgVC8wf80JAnabhboq35oCdu+T7ex9sv1BDf2uMU2TfF5jsG+ab/+3j5kcj6CoEnsPNvHia7tL9bpb3DdaUSc630ZNViRqW4Iko2ny2SI2x/LshxqvC0kU6Z4OEc1k53sYlwxZNcMgWywSy+S4NjnD1Ylpnu9owbpCJsCC+NUNg22tlbS3BFftPZvOFFBV6aGUZ2yxPj7134xLUVHu0hhDEMAuq3eddvwgqbE2Um2tL6U13GI/4Va8ABz2P8N2917SWhKP4sMhuzfMlTFo9bHD07DEYXePr4Wu2BChfBwRgYDq5oXKfYuRxTpHOUGbH0WQyOlFZnKxJfvMaDm6YkNcjPYD4JCt/J32L7HNXbesxlJAwClZ+Z3mV0gWM3wU6iJWTHE9PsKlSD9PlO+842doclbyq/XPsNPTgLjCeXmsbDsDyUlC+RgzuRgpLcv1+BBtrmo2tHfIXVJtC/B69WGeq9izYtS209PIdDbKSGqG4cwMumnQFRukxVm1TMBqps5oZhbNLLUPaXAE2eauw6+uXKwvzH+v/oBr8bp72DQ2ldPcUsG1a+OcPz8EZsmsqbOzhorbWusoisSRoy386IcXuXpllNbWIE1N5XhuM/xIp/OIooDFIt+3UdAWWwBgwrn3uxm4MUEqlqH74hDjAyG+8LtPU9tSgbKBTo12m8pXX9tPbaWX90/2cr13klAkhWEY2K0qfq+DlsZyXOt0A94IfB47v/PVx3j2aDvHzvZx6foY41NREqkchmnisFmoLHPT1lTO/s569myvxbeCEU9DjZ/f/dUn2NZSyYenehkYCZHKFkqtuMrc7Ous5/nH2tneWkV3/xR+r525aHrd49zVXo3fY6eloZyPzvQxPB4hkyugyBJup5WaSi8dzffXpu9uEASBI3sbaW8Kcu3mJB+e7aWnf4ZwLEUuX0SVZXweO3XVfna0VXJodwMt9Q++BlOWRL7w4m5qgh7eP9XL1e4JZsNJNE3HZlXxzZ/Tlb7TTxOaZjAxFub/+7//mOmJKIZucvBIEy+8uovmtpXLELa4e2bHI/zBP/o2/+gPv4nDXVoUOPXWVZLRNF/5n19a9voDDbXcmArx8+4+8prGS9vbKOo66XyBobkoA3MRjvcN81HfEKos89UDnXhsK5cB6IbJte5J+odDxBKZUi/rVRbBnjjcyt6ddRv3wbfYUDZNwJZqGTN0J7vpSfQwk5shpaXQTI093j18vvrzqPMpr5qhkdASFI0idsmOS7mzG5ZDVvmbnUfZVVaJXb671FkBAbuiPNICVhAEhDWKDyVk3IoPp+xZ7LO7UdEkt2Kn0ro05a3c4sEul24IdtlKlc2P/RbhKQgl92CHbCWnF0neknILcDM5Tn9yEs3UcchWDvjaaHFVY5GWp2kstEtRBImnK3YxlglxJTbIVDbCybkb6xKwL1ceoNoWQFzlvIiCSLOziiprgJlcjLxRZDIbZtXluAfEkcA2trnrVnUsFgWRapufZmfVooCdyM5RNJY7UAsIWCV1UYgmtSxpLbfqdbLw95WEq64bRCNpQqEEubxGKpkjFsugaQZ9fdO43TYsVgWn00JFhRuHw4IgCBiGQSiUJBJOk8sXmJ1JEItlMAyT7huTGIaJw27B5bISKHPius38xWpVqa31U1bm4lrXOKZp0tZWSUW5e1m/MUEo9W/76tcO851vn+Fnb1yir3eKjm1VOBwWkqk8oZk4A4OzvPbaHp59bjvO+2jTssUWC5imyeCNCY796AKaZuAvd/Glbz7DZ77xON6Ac0Mj/QttqfZ31tPRXEk+X0Sbd9wUhVK7KlWR8K4hJg7vaaC9qYJCUcPlsOK4D9Oyhc8mSSINtX6+EtjH6893ohX1RZPFhSiiqsrYLMp8H8Hl50QQBMr9Tl5+cjtPHGimUNAx5vsPypJYat1jU1FkkY7mIP/+n3wNTTeoqVyfY7ooClSWu3n9uU6eO9pOoajP9zcsRa5lWcRhXX4uPvfibp59rANJFHA7l96jvvjybl58ogNxhW1femUvLz65ff59yyfUC4ZOXreNQ3sa2NFeSb6go+vG4rgkUUSRJSyW0rmTpOXPhtaGcv7V//olisWSoPTfQUj+9q8c5Suv7UeSBFwrRLxWGqckCezeVktLQzm5vIau65hm6ZoTF665Ncy7HnU0Taf/5hR/+ocfMjURRdMMtu2s4eXX99K5t/6RdYj+NLLQv/STf8+3ulvl9TVeN5/bvQ3NMHi3p58Lo5Ok8gWO9Q1xfmQCE5OCphN0O/mto/tpLy9DkZY/2+OJLN994yIffHyTZCqHKIpIkrDqYn19TWBLwD7CbIqALRpFRjIjnJg7wWBqkHgxTs7IoRkaBgb19vrFljALfDj7IQPpATpcHTxZ9iR+dW3HRrus8NXWXfitdtQVLtS1kEWBJreff7D3Kbb7N7ee4l4oGgVGM/2MZAZIFKNoxnKzqZ2eA2x370Vaw7znXrFJKm5laeqZXbagiNLi9oDqXpJeKlByslVEmYyep3DbmMcyIaZy81b0kpV9/hZs0upR8IUbWoe7jiqbn2vxIVJaluH0NIliBpdsW3XCoooynZ5GPIp9zUmNT3XiUkoPXM0wSBazpYW4h/ScUgSZNlcNQeva9XJO2Y5PLaXMm5gkitlFV+RbkQSRWnv5ooidyUU5OXcDv8XFPl/rXbkLp9N5Pv64l3feuYauG+iaweRkjGJR56NjPVy+NIIkiVQEPbz66m4OHW5CEATyeZ3337vBxx/3ousGhbzGzEwCXTd45+1rnDzZhyyJ1Nb5efa57Tz22NIaI1EUqK720tJawVtvXkUQBF59bTder2PFhQ9JEti/vxFFljh3bpChwRAfftCNbhjIkoTVqlIZ9FJR4UbZSg3aYgVqW4P8yt94nnQiS31b5bp6PgqiwLNf2L9oCGW1qwQqPQSCHoRNmvjarSr2FcTWenDYLTg22IymVF9W6kHovY/9yJKIy2ldsSfhrVgtCnXVd+/srMgSHpdtTafk2/G67XhXceq81223IkmltO+1ei6uhdWiUFu5/nr/gM9J4B7sAWxWZYkL9i8Kum7Qc32Cn3zvPN3XxtE0g6aWCj7/lUPs3t+A7SG4Vf+iYxgmyVgaq12lmNfIZQulvqQroEoS7cEyvnF4D3tqK7kyMc1ELEGmUEAWRfwOO23lAfbWVbOjshyrsvICWTqT58OTN/G6bXzx1b1UBz1rZmHVb4Bz/EaRzhdIZvMkcnmyhSIFTUfTDQzTKJVnSCIWWcauKrhtVpxWFZv6i/dbvZUNn8EZpsFQeoiPQh9xJX6FlJZCFVUckoMMGfJGHvO2dRZREMkbeSayE5imSaO98Y4CVhJFap331qNJQMBvsfF8bQtW+dH7gvtTN7gSO0NCi2AVl0/UAbT76Pl6J1RRwXabuJEFCZH5OiRRxiEvn1yICIiCWGpKf5ugmslFCecTQMnUqMVZva4IuEu241fd2CUrSS1LophhIjNHm6tmReddSRAps3jwqc41nXkBVElZfI2JQWGFKOaDxKs68KuuZXWvt6OI0pKWQgVDW/abgtK58KsuDvjbSM/miBVTXIsPk9HzdMWG6HDX0easodzqWVYjfDuqKtPSGkTX145QO50WKis9i9esLIt0bKtas/E2gMdjo6rKu+K2YKWHl17eRX19GYII+/Y14nKvPvl0u23s299AZaWHyckYiUQpUqwoEja7hbKAk9pa/5IIriSJ7NhZw2//ztNUVXnwb7kP/tLi8thx3WUqpCAI1LdVUr+VZrjFFp8qDMOk5/oEb79xhQtnBinkNapr/Xzhq4fZf7gZzyrt1ra4d2xOK7sea+WN//oRDredQq4ACHTsb1z1PQ5VpbU8QLXHzc6qINFsloKml/q/WlTKnQ4q3M41A1oLs5eqoJdDexupr/E/cpF13TCIprNMRhNMRhPMJtPMJTMkczmyhSLZgkZBL2VpGKaJYZqlzJuFLBdJxqqWhKzLZqHM6aDM5aDa66LG78Fjt65ocPVpZMMFbKwY43riOlfiV9BNnU53J3X2Olyyi9OR04xmRpe9RxREamw1eBQP0UKUyewku727N3poiwiCgCQIuNTNt8q/F24mr5LSEjTY26i2NSALyyf/5ZbV+8XdL6XWREsvjVKKcun/RUFYtv1WForrFzBMg2QxQ1or9d1VRIlyi2ddNZaiIOBW7DhkG0ktS9HQmclFaXVVr/J6kTLVjSxId0wpuzXt+vYxPwx8qvOOPV2hFCC+ta7XMFceuSAIqILMS5X7yetFLkR7CeeTXI4O0JecoDk+QpuzmkZnJfX2CmrtZXhV54q1t1arQmdnLZ239QO9E4oisX9/I/vXeDDdCafTys6dNexco23L7djtFlpag7S0rq+eTZJEmprKadpkh8sttthiiy0eDUzTpP/mFO+91cXZj/vIZPJU1/r4zBf288Sz23C5V8/02uLecbptPPbqHk69eYVCXkMQBZp21NJ2hzZpkijislrYVnlvz2mnw8JLz+xgZDxCV/c44WgKm1VFkgRWSr0rDzjxezfXCM80S9dhKJliNBxjLBxnPFL6bzKWJJRIMZfKkC9qdzVDFQSwKgplTntJwPpc1Pg81PpL/9X7PVR4nIjCxpUfPmg2XMCOZEboT/WjGRotzhZer3qdVmcrkigxnBleUcAClFnKcMpORvOjhAt316B8gWQhTzSfvfMLbz2uzYH9EYvCRgtzVFprOeB7ijLLgzOUWEAQhMVo64rb5yOt60UzdIrz6eNQEpkOybZukyCLqGCZF8yGaZDScitGHKEk7BxrpBc/ytgkC5K48Snhu7xNpT62qoNr8WGmshFihRRXY4NcjQ3iV11sd9ezx9fMNlcdNfayRaOnT+N53GKLLbbYYovVWPDsGRsJ8/YbVzh9/CaJeJaqWh/PvdzJZ3/lYKmH8dbzb1NQLAp1bZXUtgbJJHMoC+d6ldOd1zRMExRJXFdJx2rYLAr7Ous4dX6QodE5Al4HbpcVWZZWdPZ+4cltHN63eivP+8E0S59rLplmNBznxsQ0F4cnuTExSziVWbe7+lr7zxaKjEXijEXiXBopidoyp4Nt1eXsq69mZ12QOr+HoMeJRf70Xe8bLmAns5NM56Yps5TxWOAxtrm3ret9LtmFVbSSM3Kk9NQ9HbsnFuK98f67es+vNHfS5i27p+NtFpIgIwvKQ2thIrC2cFl5rWp1NNNYEt0UENbVF3UBUfhEMJuYJVfdNX7bsig9Eg66d8uCGddm0OltotlZzc3EGCdC17gSGyRaSJHWc0QLKT6eu865yE1andW8WLmfJ8t3UmbxwryByhZbbLHFFlv8ImCaJrFomp9+/zwff9hDNJqiqtrHU89t5yu/dnRLvD4AFgzMnPPlGjNjYbSiTk1zxbLXTsQSRDNZKlwOan3ee54lpTJ53jnWzfhUFIsqk88XmQ6tvrfNMnDSdINkLs/gbISPbg7x1pWbTMaS9y1a74RpQiiZJnQzzcm+EQIOO6/ubue5HS00V/jx2Kwon6LODBsuYBPFBEktSdASpMmx/pULi2hBEiQ0U6O4gmnRergenuGPrp9bdbtJSQAZpokAyKLIwfLaR07A1tqbiBXDTOXGcMsrG/rcbRT0YaKK8hKzKROTglnEyvoi35ppLLaCEQURm6jyQBvh/YJgly3s87ey29dMJJ/ibKSbY7NX6UmMkdJyFAyNG4lRxjJz9CTG+HvbvoxFVD+FSwFbbLHFFltssRzTNMlm8nz3L07ywdvXiMcylJW7eO6lTr7yG49h3TJs2jQMwwCzZHqn60t9UrrPDZJOZlcUsO/dHOCHV26wr66af/q55W121ksqXRKwTfUBvvHlw2xvr8Jhs6xaB7sZ7ap0w2AmkeJnl3v43rlrjEXiG36M9Y3DZDaZ5s8+vsTPrvbylUOdvL53Gw1l3k9NWvGGC1jN1NANHUVUcMjrzx3X0TExERHv2Vn3SGUd/8/DL664rWDoRHIZemNznJ8dp97l4+/ueZyD5XdX0/cgqLTWMJC6wZupv+Kq7SwBtQJFXHpTbXJ00OhoW2UPjxaSIGKVFBRBpmhqaIZOojDvJLwOeZTRcmT1wuK+3Ip9S1TdByICfouTF4L7eLK8k7FMiGMzV/l47jqT2TApLcu5SC8/Gj/F69WHcSlbJhZbbLHFFlt8+omEU7zxgwv8/KdXSCVz+PxOXv/SAV79/D5s9+jqvcX6GLw+TnQ2Qevuet76i5NLtg3dGKd2BfEKEM1kscoy7eX3F2xSZInaai/b26torC/D51m7U8VmcKxniO+cvcql4Sky+cIDPfZqRFIZ/uzji1wemeRLB3fyyu72FdsQPWpsuIBVBAVZlCmaRdJaGo+yPqfgRDFBTs9hkSzYpXubMDe6fFTYVnYPNU2ToqETL+S5Hpnh31w5QV9sjm3eclzqg2v4vh4GUzeJF6MUjQKT2RFC+allNaku2fOpEbCCIFCmlpyBZ/MxCobGRDZElc3PnQzgdMMgVkiTLGaAUjS31lH+qYk+P4oIgoCEgCSpWCUVq1OlTPXQ6Ajy9vQFrsQGSRYzfDBzheeCe7YE7BZbbLHFFp964rEMl84N8eaPL5FKltrmiZJA97VxInOpdTnSCqJAZZWX517uxLflVn9XWKwqdqeVbDrP9TMDHHphB4pakiE2uwVxlYinaYJVkXHbLPcVvPC4bXztCwf5+Qc3ePO9a9TX+nE5LKVWOisI2fpqH5UV99bt5FZMs9Sn9i9PX+XnXb30z8yRzt9bpulmYJgmmXyRq2PTJHN5xiNxvv7YHjw26yMdid1wAetRPLhlN6liitHMKNW2ld1ib2ckPUK4EMYluyiz3Nsqi01WsN3BkKnCbuBRrfx0uJtT02McqqijyuG+p+NtFjs9B2i4gzgNWtbvyPooUGMPUGH1MpuPkdFzXI+PsM/XhszaqzyTuTChfIyCUUQVZQKqm3KLZ4kL74Pm1vQKY6Em91OMRVKotPk4UradUD5OV2wI3dQZTc9Q0DXMrTrYLbbYYostPuXkc0Vmp+OEQ8nFv6USWXquT9DXM7WufYiiSGtHJUeebNsSsHdJoNKLO+CkmNdo2lHN3qc6UOdb7BUL2qreJj67Fassk8zl7+v4qXSet491c3NgmtHJCE6HBYsir7pw8eXX99+3gDUMk0g6w3fPdvHW1V5GwjEK2qM5Z8wUivROh8nMt+v5zaf247Vb78s4azPZcAFbbasmaA0ykhnhcuwydfY6Kq2VK6YFm/MFy32pPq4nrhMtRGlxttBob9zoYS0iCSIuVaXNW8Y7Y33EC7lNO9a90uRof9hD2HCanVU0OoLciI+S1nJcjPbzStVBKq1+5BWcd02z5DN8MdLPeHYOE/AqTnZ4GrBKDzfNxyqqiyZUBV0jVcyimwYin466gdXwKKU+tAilFc/be/k+TDTdIJPJE41nSKbzpNI5MpkC2XyRQkGjUNDQNAPdMDHM+TobQUAUhVKTb0VEVWRURcJqUbDbVOw2FYfDgsthxe2yYtky7liGrhskUjmisTTxZJZkqnTus7kimmag6aVm6pgmolhyiJRkEZtFwWpVcNhUXE4rXo8dr9uGy/lor+huNsWiTjKVIxxNkUjlSGcKpDN5srkiRU1H14xSc3rDQJJKzellWcKiytjtKs7569XrthHwO1FVeV39tLfYYqPRNJ1UplC6lpNZ0ukCqUyebK5Aobj0WhYXrmVJxKLK2GwqDrsFh13F57ET8DmxWZVNqTm8FcMwKd4mHvJ5jXx+/T3gRVEgmcguq+HcKNKZPHORNNF4mmQqRyqdJ5MtUCzqFOf7f4qCiCyLKLKEqsq4HBZcztJzrDzgwuW8NzOeNYyANwS7q9S6Mpcp8PTn91PTEixFP4E9T3ZQyK0cldxZFWRoLkrvzBwziRRB970tHMiySHXQQ3VwfaLUt0a/+fVgmiYziRRvXunhe+evMxNPohsbY9QkCiVPGEEAwyzVF2/Enou6zmg4xk8v92BRZL58cCflbscjKWI3XMDW2mppdjQzkhmhO9GNS3ax3b0dt+ImraUByOpZJnOTGKZBrBDjXOQcg+lBVFGl2dFMvX3tXlD3i2lCTis1AzY32fVrMxjPDGGRbJRbKh/2UNZNtS3Adnc9V2KDjGVCDKameH/mMs8F91Jp9aHc0lfWNEtRzd7kBCfnbjCVjaAIMg2OIEcC63O13kzcih27ZEFEoGAUmc3HGE5N0+SseqRqc4uGxlgmhCgI+BQXDtm64mIBlNoTTWfDjGdDGKaJJIgEbT4U8c79dDeDoqaTSGaJRDNEExli8QzhaJpQOEksniGWyJJIZslkC2RzRXL5IsWijm4Y6HrJrk0UhJKokkvi1Wop/We3WXA6LLidVtwuGz6PHb/PgcdlW/J3t8uKzao+co3O75a7Gb1pmhSLOjNzCcLRNJFomulQgunZOOFounTu4xlSmQLFokZB09E0A9MwS4JLLgkuh700QXU7rfg8dsoCTioCLoLlbnxeB+V+Jz6vA6tF+YX1YzNNE9OEeCLLXCRFJJ4mGkszO5dkOpSYXxTIlSb/mQL5gkZR09HmhawkS6iKhCJL2KzKkoWA8oCL6koPAV+pT2FZwInPbUdRHnzdkqYbRGNpLnat3CLvdkRRpL25gvqawKZ+99lckf6hWaZDiZJ5zDqxWhQqK9x0tGz+8/VazwTTocQdxZAoCHg9dg7uaQAeXnuzZCpXupZjaSKxDKFwkqmZOJFYmngiSzyZJZXJk89raJpeuifrBtK82Fq4lp1O6+J9tqLMRVWFh4DPUfrPX7qm7ZtgpmS1KTS3Bnn+lV33vA9RFKiu8eFwWDdkTJqmk0jlmAklCEfSzM4lGJ+OEZpLEomliSWyJNO50kLt/PkURaEkXhUZm1Up3Rc8dgI+BzWVXior3JT5XZQHnJQHXFjU9U31JVF8IM87i02hdVc9mXSOTFHHNMFb5kKxrDzObZXljERinB4a4ydd3Ryor8FltaBKq89PKt3OZXWcXred3/rqY4v/LmgauVyRQlFHEgWsVhWrRV70ZrnfazCcyvBx7zB/daaLyWhi3e8TAIsi47FZcdksOC0qNlXBqsil35EkIs8vGIuCgG6Y6IaBZhgUdZ2CppMtamQLRVK5PIlsnmQuv+7Ir26UhPdfnr6M32HjhZ0tlLkcj9zi84YL2IAlwA73DqZz01xLXOO92fe4Er9CtbWaqVwpRWM6N82Hsx+SKCYYSg+R0lJYJSu7vLvY6dmJS3Hd07FzWpGMtnpeuQkUdJ2pTIKr4SncqhXrI9YDdj2cjx6n3FL1qRKwiiiz09vIE9md/HTiNGktx3fGjmMCe73N+C1uFEHCBPJGgXA+yQ/GP+Z6fJi8XqDWXs4+Xyvb3Jtja343uBUHlTY/LsVOvJhmOhvlJ5On+UzVYRyydTE6q5sGumkgCSI19gfvdJ3VC3wwc5m0nqPZWUWtrRy3YkcVZWShdOM3TZOiqZMsZjkT7ubMXA8AVknlSGDbA41267pBOpMnnswSCqcYGA7ROzBD//AsEzNxstm7MzzQTRPd0ClqOrlckURy7dc7HRaqgx7qqv3U1/ppqAlQFXTjclhx2EuiV1akT13ESxTvnBmg6waZbCmaMh1KcLFrlO7eaYbG5kgkc+ta6DM0fT66USSZWp7ZIggCLoeFtuYgOzuq2NFeRW2VH5/nFysyaxgGubxGdF7s9w3Ocv3mJL2DM0zNJsjm1ncda/NiFiCezDIdWjoBEgWBYIWb1qYKOjuq6WgJUlHmwudxYLerD+w61TWdscko//zfvomxjuiCLIt889ef4lc/793Ulg2xeIZv/eAsZy4OLYu6rYXXY+eZo210/M3Nfb5qus73f3aJY6d6KRTXHp+qSOztrOfAnoYHuki6sKAVS2SIJ7IMjs5xrWeSmwPTjE/FVvydr4SmGWiaQZZiSazNLb8Ze902murL2dFexbbWSuprfPg8dtwu27ruYevB63Pw1HPbeeq57fe9r/slX9CIJzJMhxL0D4W4eHWE7r5pwtHUHaN0hmGWzmeuuOK9weOy0VgfYNe2GvbsrKM66KHM58BqVRDXiKQpioS8yVFwKKULT4+GmR6Zm08dLn3eitoAbXuWB7BimRwWWUaRRP7LifOcqR2nzufBZbEgrSK4f+PwXvyOpf4dkiTi89opFHVCc0mmZuPMhpOkM3kUWaLM56Qy6KGy3I3dpt5XRkAmX+DC0ATfvwunYYdFxWOz4nVYqfQ4aSzzUxfwUOV1U+a043XYcFpVbIqMvILJUl4ridZkNk8knWUumWYymmA0EmdkLkoomSaeyZHI5sgW1s46ME2TcCrLt05fwe+08XhbA07ro+UXtOECFqDN1YYsyhgYdCe6iRaizOXnMOcD3NO5aaZz06UBCDIWyUKnp5Nny5+lzXnvxkTDySgXQhOrbi/qBjPZFOdmx7kRmeWzjdvxW+4vReB+MU0DzdAQBBApiQrd1NbsB5UsxnDKj1bd7npocFTwbMUeprMRTs11kyxm+JPBn1NjK6PRESRgcaObBrO5KNfjo2T1PALgVZ08Wd7Jy5X7V40gPkhEQWCXt4n+5CQXo33Eiil+MnGartgwTY4gTsVWKorXcqS1HF7VyT/c8bUHPk7DNAjl4xyb7SKr53HLdiptfqpsPjyKE1VUKBoa4XycwdQ0oXyMoqmjijI1tgCfr3kMh7z5vw9dNygUNSKxDFdvjHP8TB9Xro+TTOd4kAkSqXSe3sFZegdngdJqtM9rZ1trJZ3batjXWUew3IXNqi4+6D8NoktVZWR5NXOM0gQ1HE1zrWeCd493c/7qKIU7PNzuBdM0SaRyXLg6woWrI7icFjo7anj+iQ4O72vC6bCgKA8n4r8RLKQnJpJZBoZDvHu8m7OXhokns+sSdnd9PNNkaibO1Eyc46f78Lpt7NlRywtPb2f39hqcdgvKGvVdG4WqKpT7nTjtKsl0/o6/WU0ziCUyJJJZAr7NqSE0TZNcvsjASOiuUz3TmTyjE1EMw1jsVbkZJJI54snsHcUrgMNuoabS88AWJUyzJJAy2QKTMzHe//gmH5/pZzqUuKvFgLshlshy6dool66NYrXINNaV8dLT23nsQDN+XylbY6OE7MOilJVhks1pjIzPcexULx+d6WN8Mrahx4kns1y5Ps6V6+P84M3L7O2s4/Mv7aa9JYjHZUOWV352WS3yYkrvZhKdTfAXv/8GxYKGw21Fmj/mzsMtKwrY7166xl9d6Fr898XRSS6OTq55jM/u2rZMwJqmia4bDAyH+PaPz3Pl+hjpTH5+Mb+UQl1T6ePXvnSIg3sa8Lrt93T/NEyTm1NzvHOtnytj02u+VgBUWcJuUdnbUMVT7U0caq6lzu+56wU+iyxjkWW8dht1Ae+SbbmixsBsmNP9o5zsG6F7cpZMXqOor/17HpgJ87MrN/E77exvqHmkMtI2RcCKiDQ7mvnNht/kRuIGZ8JnGEwPktJSGJQeJgICVslKo6ORxwOPs8O9A6/iva/jnp4Z45+f/2DN15iYCAh0+Mr4RsdeGty++zrm/ZLSEoxlBrCIVqpspR/uRHaElLZyuMg0dWLFCJXWhx+JvBfaXDX8XstreFQnb02eI28UmczOMZWNLKaTmabJQjZ/0OrnV+qe5LngHgLqoyPaD/raieZThPJxhtPT6KbBYGqK4fTSm5UoiLQ612dkthnIorS4Yp/QMiSTWfpTkwiUbpwmpcXPhTNuFRU6vY38VtPL1NjLHohZ1nQowfEzfbxz7AZDY2F03diUCf/dohsGc5EUJ88PcPriELIs0tZUwaE9DRw90ExrU8Wnoum3qkqrjlPTDM5cGuKn73Zx6doY+XzxgZ37ZCrPmUtDXOuZoK2pgq998RCH9jQ+lDTYjSCVznHuygg//+Aal6+PL6b7PShiiSzHz/Zz5tIQ7S2VfOHlPRzc24Dfu/52dveKopYER3ff9LoETiyeIRLLbJqA1TSjFJmajd/1IlixqM+nyGbxe22bJpgmp2NkMuuLxjsdFmqqvJsyjpUoajo9fdO89cF1TpztJ5nKoRvGA1tQzOU1bg7MMDAS4q9+fIHXX9zFC09vo67q4c7XNoJILMP33rjEh6duMj0TR7+L9PZ7IZ3Jc+r8ABevjvDEoVY+//JudnRUr5hWbLWoqOtMN74ftKJOKpHhH/y738JxS53patHhZ1obqXDe3X3Mb1+++K7pBlMzcf7VH/yc6Zk4LY3ltDVV4HbZyBc0JqajnL88wr/9/73P3/zNZ3j6aBsu592niqfzBT7sGeSjm0N3fK3DqvJ4WwO/+eQ+WioC2FQFab62dSOxyBLbqsppryzjiwd20jU2zX87eZnzg+N3FLEf9QzRXllGc4V/2aLAw2RTrlRBEBAQcMpO9nj20OpsJa/nSetpsnoWExOLaMEhO7BJNhySA4tkue/WKDt9QX5n+8FVtyuiiEu1UO1ws9MfpMruwvKQI3ojmQHGp3pwK35+q+HvAvBR6C0GU92rvielJ9nm2vOghrhhCAiIQKXVzzcanuexwHbOhm9yIzHCdDZKRs8hIuCxOKi1l7PL08h+fzsN9gqcyuZNJO4FRZR4qqKTKpuPM+EersQGmcqGSWulqLFVUkupxlYfnd7GhzJGp2zjrzW+yDZXPT2JUUbTs4TycRLFDHmjiG4aKKKEQ7EStHhpcVWzy9vMTk8DFRbvpptSJVI5jp/u44OTN+kbnCGZzlNcRzTiQWMYJoZRSue8OTDD2ESE90700FhXxlOHW3nluZ0Pe4hroirLzVFM02Q6lOCvfnye81dGmAklyK5ioLGZGIZJKpPneu8U/+cfvc/TR9v4wiu7qarwbrqhy0awUOd6/sowP//wBl09E8TimYdyLqF0PnN5jZv90/ynmRh7Ltbx8jM72NdZh9WyOeUyglBKcW1uKKNvaPYuBGx6U8YDkMrkGRmP3LPgyheKDI6EcLtqUTfJvGRiOk5mnWURToeFmsoHI96GxuZ458MbnLowyHQoQTpTeCheIQvZIaFIku//7CKXro3y3BMdPHW4jbJPoftvJlvg6o1x/vsPzzE0NkcymSsZ4D0ADMMkmyty6sIAw+NzPP/kNl56egeV5UuDAjargvoAFhAlScTpsSNJIooiI9whqre7toptleV3dQzXCumuyWSOH7x5iUQiyze/8ST7d9XjdtmQJBHTNMnnSyL2D/7rMU6eH6Aq6GH/rrv35Dlxc5iLQxNkCqv/viVRYFtVBV87upvH2+rxOeyo8uaVKAmCgCQISIDXbuVQcy3NFX6O9Qzy309eYSwSXzXzM6/pnB4YozUY4OVdj47J7KYutYiCiE22YZNtpdC9qaOZpdQ0SZCQBAlhAyfJHb4yKuyrr9KIgoAiSthkBbdiAUF46KY7NbYGdlZ0oIif/NhSWpwO1y46XLu5fYQGBh/NvbXh4zjob6faFiCj5ymzeCizLHVpcyk2fq3hOV6qPIBdslBp9S/bx+NlO2l0VFIwijhXST0VBAFFkCi3eHDJNmrsZTxX2EtWz6ObOgKl78guW/EpTvyqC0Vc2x220ubni7WPc7RsO5Ig4lWduNaR+lpl8/G1+md4PriX+FyGayfG+PMTH6IVdKpqfOw91ERtQxmz03EunO4nEcuSiGfIZgrs2tfArv0NVBh+vN0enNddVBdlKmq9HDjaQjDoRRXkeSG78oqVV3XyXMUemp1VpX8rTurWUSvrt7h5qeoA2z31CAi4FBtlK0SnJUGkwuLlifKd7PI2ktJy5PUCRUNDN03MeaMjWZCwSiouxY5v/txtZp9dwzAZGQ/z03eucrFrlInp2EOb8N8tC47H8WSWoqbTXP/ga5vvFosqL4nA5gsavQMzfO+Ni1y5MU40nnmgkcLbMc3SmKZmYrz7UTfRWJrPv7KHba2VqMrmRwPuFV0vpcL+6K0rXOwaLU1KUw827X018gWNUDjF2YtDzMwm6B2c4bnHO6ivWX7f3ggUWaKpvnzd9XPRTRawyVSOkbHwPb8/X9AYGJ5l1/Zq2CSbjKmZ2PoFrN1CbaV3cwbCJynD75/o4aMzffT0TxOJph+YwFoLwzCJJbLc6J0iEsswMh7mxae207nt09NKcCaU4IOTN3n3o26Gx8LkN6FEYz2kMwWGR8O88U4Xs6EELz2zg93baxe322zKA4nAIpTqYP/on3yf8ho/FpsCgkDT9moOvdC57OV2VcGu3v8PMZsrcuHKKNvaKtmzo5aG2sCShVLTNPF57ezfXU/XjYlltcXrIZ7Jcap/lL6Z8KrPAkUSOdJSz68c7uRgYw1+54ONakqiiMOiYlcVXt3Vjtdm49tnrtI1No22SkZA71SISyNTHGquw+d4uKWXCzyw2YEgCMiCjLyJh3SrVtzqxjjDPSi8SoBt7qV1v7IgU2dvZpf38DKBbWJyLXFhwyNjlTY/lbbVJzeqqLDNvfZKVLU9QLU9sK7jCYKATbZQJ5dTZ7+7lbXbcchWWl01tLru7oHmkG10uOvooI6kmqVih49stoBW1Ll8bgh/mYvqOj9zMwmuXhjmmZc6iUfTvP9WF23bS2nBsyMxMsN5PnfwCGDSdWGEmkQZ2xvqsDvWLni3Sip1jgrqHBV3NW6rpNLoCNLoCK75uoVrxKc68amPxop1Ll+kd3CWn759hXNXRojE0o9EuvDdYppgt6o01G6OINhILLfUwKYzebr7p/nuTy5w6doY2WxhQ6z3NwLThLlIilPnBzEMk8+80MmeHXWPZEpxLldkaGyOn39wnZPnBwlFkmjaw5/s304ileNG31RJMEbTvPjUdnZ2VG94HZOiSDTVBxZr2e5ELJ4hGt3ECGw6z/D4vQvYQkGjfzi0qd/p5EyMzDoMvSRRwOWyUV62OSU0um4QiWV470Q3x072MjASeiQXFPMFjdGJMKl0jlg8y1w0zeMHm1HkR7du3jRNRicifHiyl3ePl8Trw0bTjdKi8ekC6WwBwzDZta0GSRKxWVUsD2DR0OawsPuxNpKxNA63DVmREIRSKcJmouk6oXCSI/sbcTmty7J8BEHAalGorfJx4erIXRtHAlwbn6Z/OkxqjZ61B5pq+eKBHTzWUo/L9vCMkQRBoNzt5OltTRS0kvfOldGV+yEncwX6pufomQzxWNvmdopZL4/u8vZ9oJsG6WKByXSSRCFHXtdLaZ2yjNdio9LuxCGrj8RNrxTWX/rQ7/QcpNJau2LvXIAyNYhb+fTXgjwqmKZZah0jizicVgQBQjNxYtE0plkqyNe1Ui87h8tKU2uQ+qZS5G10KMTo8Bzbd9cCAvFYhrmZBNmWwh0F7C8bmWyB3sEZfvDmZU6e7Sf3kFahNwJFkaip9H4qogCqKiHLEplsgZ7+aX781hVOnht4ZITr7SRSOU6eH0CWRSwWhZ3tGy+47odkKkd33xTvHu/mg497yeeLj+y5hJJAGZ+KkkzlSKZyZHMFdm2vmW9htDHnVZEl6qr9pRYUAneMQseTOSLzkf+NThVfMAsbnYjc8z4KBZ3BkTk0rdRqbyPnCqZpYhilFP71CEW73ULAtzltZQpFjcnpGB+e7OWN964RCicfajbGnTBNCEfTfHx+oBTBN00O7G7A6bA8EvO52xmdLzd596NuxiajD3s4S4jEMpw6PzjfV1agvSWIRZWxWGRkSdzU6LvdZePoq7uX/K2QK2K1rzxnmk4kiWayd3WM5jI/FnmpxBEEAUWRyN3B6yGXK5ZK3u7iubNwzzvVP8pUPLnqM6E+4OWlzlaOtj5c8XorHruVZ7Y3E0lnCSXSTMZWjjyPhmNcGpnkaGvdI/F72zQBa5gGRaNISk9R0AvoZqkuxlzHo94m2Siz3H1qnglkigWGEhGuRWa4HplhKp0krRVKqZaqhVqHm05/JZ2BIPUuL6ok33MacXW5m30dtdSUr68p8u00VQcoW8Fg42jg+TXf1+7ahU3afGOOXxbyuSJjw3N89O51qmr9iEJJiOqajiBQarrutHLt8ggWq8Ku/Q1U1vgo5jWymQKxSJqeaxMIgkBVrQ9fwIm0iuvrLyuFgsbw2BxvvNPF+yd6HvZw7puAz0FrUwXB8kfHWGw1VEUG02RwZI6ff3iDY6d6H2nBBaVUt9MXhrBZVcp8TqrW2Xh+s0ml83T1TPDGu10cP9P3SKQLr5d4MsuHJ3sJR9P8+pcPs7O9God9YxZyJUnE67bh9zoIR9N3rGXP5YvEE1nSmTxu18amo+ULGtFYmrlI6p73UdR0pkNxkqkcLpcNWdpIAVtapInFM+uq+fd57ATL3Btu6lKcb3/03vEefvDmJVLp1SNGjxq5XJGr3RNksgVMw2T/7lIt46MwqV5gLpLiw5O9vHOsm/GpR0u8LpBK5zl+ph8BgV/74iEa68uwWhSsFoVUZvOuB0WVqbyt/Gasf5pUPEPFCllN50cmODs8dlfH+FvPPkaFa2nmmaJINNT6GRieY2QigttlW2w5tpBGPxtO0t0/jcOu4nXfTWqvSTpfpGtsmmg6s+IrJFHgmW1NHGqqfWTScBcoczl4vK2B0XCMH124gb7Cwy2UTNM7PUc6X8RpfXAtFldjUwRs0SiS1JJM56bpT/UTzofJG/lFEXsnmh3NvFb12l0fN69r3IjO8sc3zvPeRD8OWUUVJSRBAEFANwzOTI/ynYEuXq5r43/YeYQmtw/lHo2cnjvYxnMH773tz73S4nz4Pcx+kUin80xPRNGKBs++3IlW1Ll6cRhBLFmrF4s6JnD48TbKgm5EUcA6b3ZQXeenfUc1r//KAURRRNcNPB471k1YLf+0YpomM3MJjp/p5+2PbmzIPkVRQJZEJKnUzFsQBUo/c+EWd2Vz3ja/FPHQdANd1zdEdDTUBti1/dGPvpZMMiTCsTQfnenj3Y+612zRtdZ+ZFksnXNRnG8vcst5Nkw03UTT9fmo1f2PPRrPcP7KCJUVbn7l9f0PPVUwny9y/eYkP33nKifO9G/IIsDCdSzLEpIozF/H89fwfPaHYRhoeqmP5v1Gx4qazsWuUQB+/cuH2b29BtsGTUQEQaCuxs/4ZHRdwiyVzhMKJzdcwMYTJffh+z1XhYLG6GSUgN+JvEpk6F7QDYOxiQj5/PoyULweOxVlrg07PpSi8tOzCd473sP3f3aR9DrdkNdCkkr3B1kSESURcf4eAUuvZX3+Wr7fCJ+uG9wcmOHPv3cGSZY4uKdhU6LU90IuV+TY6V4++PjmholXWRZRZAlJEpe0E1owktP10rktavpdleUUizrvneihIuDiMy/uQlUkbLbNEbCFXBFd01GtCqn4UpF3/XQ/xYJG887aZe/rmw3zQe/Kjr4mJpphkC/qFHQNiywTcNj5vScOLXutw6by5OFWvvWDs/z8g+sUChqNdQEUWUI3TBLzi3zXeiZ48nArdTXrz3TUDZPhUKnXanGVa9vvsPNURyP1t7W4eVRoqyzjSEsdx3qGCKeWi/CCpjObSDEajrGj5u5K3zaDDRewpmkynZvmWOgYx0LHFk2b7gbDvLcbW18sxLf7rvDeeD+NLh+fa9pOu6eMgM2OiMBcLs2V8DRvjtzk+wPX8Vps/Eb7PhofYisd0zQWW8bcDQLCphrt/DLhctuoqPIwMxnlD/7Vz/D4HBi6idttR9N0Cvki8UiaP/8vHyKJIvlckVc+v4+jT3fQvr2a0HSc/+Of/gRxXvD+2u8+xY49dY9Ez9pHgaJmcOHqKD99t+u+6l0XRJMkCng9dsr9LsrLXPi9pfQ6iyqVep5KErphUChoZLIF4skssXiGmbkkM3NJcrkihmGAWXr43a3YkmWRxtoAO9qr7vmzPCgsqgwmHD/dzwcf99xVD8eFBQFVkQn4HFRXeqkIuAj4HKiqjKpKmGZpop/K5JkLp5iciTM6ESaX1zAM877dS8cmI7x/4iaH9jTS0nh/tfL3g2madPdP8/2fXeTU+cH7Eq+3LrR4PHaqgx6qKjz4vQ4cDgsWVUaSBPJ5jVxeIxJLMzuXZGomTiicpDif1no/p3ZBxPLlwxza27gxzpcCNNT4udQ1SiKVu+PLk+kcs3NJWho3diIUiaWZnInf936M+ayF7W2VODZSwOoGIxORdfV/BfB5bATLN07AmqZJPJnlp+9c5cdvX7kv8bpwLYuiQLDMPX+PcOL12LHbLKiKhCCWUrKzuQKxeJbZcJLJ6RizcwvXMvd1n+gbmuV7P7uIqkoc2df0UBe5Fj7H1e5x3ni3i4GR0H3t79Z7cHXQQ221j2C5G6fDMl8CAPm8Ti5XIBxNMxtOMjYZIZ7IounGXd0nvvvGRfw+B9m8tmmO5YM3xolMx+nY38gP//CDJe7Do71TNHSs3HLw5R2tdARXzsrM6xqzyTRXx6fpmQ6xraqcf/zqs5S7lvt+OJ1WPvvSbq71THL28jDHTvXisFuw21SKmk4snsEwTXZvr+GFp7bRXL/+Z45mGHSNT5NdozTqaGs91V73I9t+T5UlGsp8HGiq4e2uvhVfk8zl6ZuZ+8UUsOFCmFPhU3w89/ES8eqQHMiivMxVdyUc8r2lxw7EI1wNT7G3rIp/+dhrlNnsKAsRWEA3TQ4H63i1vp2/f+INTkwO80Jt60MVsDcSl/hg9o27ft/RwHMc9D+1CSP65UNRJLZ11vKP/uVXS6vGooBhmFhtKpNjEUYGZznydAdHnyrZh7/35lWy2QLhuST1jeV85ssHefH1vYv7szstn4oWIA+Kru5xzl4aIp64uxqWBRRZpKrCw/49DWxrqaS9udS3TVEkRFFAFEVKz8H5KCxCSZgC5ryIMgwTfT6SFYmkGZ+OMjIRYXh0joHhOSamo+t+0DfXl9HaVLFpD/mNxDRNfvLOlf8/e/8dJGl+52diz+vTe1vet++enunpmR6LGXhggcXucndJ7h61Op6oMwoFFXfBU1A+QlJcUFRICul0J1J31PK4JJfLNdhdDMwCGGAwvnumvasu76uy0vvM1+iPrKppUyazfM/UgxgMUJn55ptvvvm+v6/7fFhOFVhaXt9b+nEEQSDod3LhXDfPnOpkoCdMwO9cqxI+nP0H1o6zaTZM4ivVOg/Gl/j05hSfXJ9kei69rapvY/9hfinLn771Kf/5f/y1XW3lbIXZ+Qx/9oNPuXprekfBq9tlY6gvwsXzvZwcjBOLeFBVGUn8rKry8Pr7s3O3YSmSyZUYGU9w9Vbj2KYyRYxtJoVu3pvlhz+/hU1TOHfyyapHqwgIdHcEsdua+10UCtWmz8lWSGdKzC1kdrwdy7QYm9p9QSPTaAj7NGsZ5ltpId4tdN3k+z++ztvv36e4zSqbKArEIl7On+7k3MkOjg9EcTltj3QSrCVFVlpiHj6Xdd0gmy8zMrbE9bszfHx1gmS6uO2q+c27swS8Tpx2lTMndn4ub5fV+es/+vOPmd7BDDaA12Pn9LE2Ll3o58RgnKDf8VnH0WPXCXPl2JqGSU03WEzkuTeywKc3J7l5Z7aphFJdN/jDP/kAy2pYce0FLq8Dy4JKqcbwtUle/e6zqCv30UKmiKqtH5IMRUL0hdYXTGxU902+c/o4H45P8d/86mN+dn+U75w5gdf+qKirANhtKv/wH3yFdz8e4eOr44xPJymWqqiKxOnj7Tz/TA+vXxokHvG21LZvmCZjS0mq+sbH7kJvOz7n4RaajXhcnO2MbRjAlqp1ppYz+7tTG7DrAexYcYyRwgg1s0ZQDfJS8CUGXAPYJBuiIDYXwG5zvjNfr1I3TJ6LdNDl9iEJT1r02CQZwSVwKd7FT6YeUNYPVm3PIbuI2zsf+Zth6UyXxqiaFcJaHLfsRUQgU0+xUJmlz3WMgHpw1YjPG4IgNCpKgSczdh6fA4fLxpX3R5ifSWEaJsViledfGiAc8SDJIg5ZOxJs2oB63eDWvTluD8+3nGVXVZmzJ9p56fl+TgzEGhUqh4bDoSJLYsuZ9tX393sdtLf5OXeyg3KlTqFYJZMtMT6dZHhskZHxJZaW8xtaHRzrjzHYGz5U81YbUa3p3Lgz21RbmabJdHcEeP3FY5w72UHA78DjsuOwq8hyc8d7NePvcdsZ7Ivw+qUhrt6a5lcfPth2NaJQqHDt1gwj40v0dYX2x+ZhBcuyKJVr/Nu/vMyNu7PbDmbiES/PP9PNhWd66GoP4HPb16qtzZ5HlmWtzUOeOdHOd756lqu3pnnv8ihjk4mWrTnqdYMr1ybxuOz4PQ66dqioLQjQ1R5ouiV5tQK726QyRWYXM5s+RxQFNEWmXN34+zQti/GpJJVdDmAN02RqJkWtvvX3paoyfq8Dr2f32qx/8s4d3r88SiKZb7mKr8gSp4+38eJzfZwcihMKuHC7bDgdWiNwbfFcjgTdnD7Rzte/dIprt6Z59+MRRlfEs1qhXje4cmOSUKDRKRL0H4zqfrFU49/8+WXGJhJNt4g/jtPRaHO9dKGfvu4Qfo8Dp1NrumpnWRY+j4OOuI/nz3Uzv5Tl8tUJfvnRA1JbJAn2eg463OYnEPVSKVY598oQz3/5FOpKwsswDPTa+t+7Ikko0uaf364onIhHGAgH+cmdEd4Y6n8ygBUa2ZSAz8FrLw6urAFq6CtCVpom43U78Hsb3rCt3ONNy2Iunduwy0kUBIbiYZza4V4r+hw2+sIBxJVCzuNU6nUWstvXF9hNdn0lsFBZIFFN4Ff9XAxc5JXQKwS0ABJ7P78kCSIORcWlqMgbmI8LgoAkCtgkBZss75lpcLNEtDZeDL7xyN9uZa+g27qI2NrocQyiShoCAhWjzL38dXSztq3W7CNax+Oxc+pcJx6vA0lqtAjLskhHdxCH63BfiA4DU7MpRicSZLLrixpsRCjg4ksvDfHic30M9ITxex2IG/ymm2X1+qMqMqoi43E1bm6WZVHXDQb7Ijx7totkqsj8Yobx6UZ1dnImuebX6HXbGOgNE4/6drQv+4VpWk3NMnXEfVw838uLz/XS2xUmEnQ/keVvhtXXuJwaLqdGOOAmFvHQ1ebnnY8e8M6HD1puIzdMi1SmyC8/HCYW9uxrAFut6fzo7dtcvjZJusVzGEBVJF54tpdLz/VxcqiNeNS77Tm9VQVNr2LH67HTHvMRCbkZ7I1w+foEH34y3vK8XTZf5qNPx/G67fzt713YcatsNOzG5WwEM1tVhgvFKkvJ3Q1gS+VGK+Vm3R6qIhEJeejuCPD+ldENgzjLani15osVdMNs2uN2MyyrMYs/NddcC3HA5yDga3Q/7BTDMBkeW+Sn79xlcibZkkWQIAh0tvl5/dIQ50510NsVauzXNo+JIAjIsoTHbcfjthOPeImGPPR1h/nwkzE++GSsZRGubK7E5euTtMV8fPfr55B2eL9olXKlxv2xRd5+7z75YrXlTg1JEumI+/jWl89w/nQnnW0BXNtIjAuC0FATXkl+tMV8tEW9HBuI8vbKfGcuv3VFdi/QVq59siLx2nefI9TmX+tWe+bV4+g7cCaQRBGXphH1uPjJnQfUNqiErtkLeh34vbvnv2qaFku59b2TRUHA77Tjd9hQDnl3nipL+Jx2/A77unOwVd0gWdg7C7RW2PWVQEEvUNSLdDu7Oec9R8S2f33SUYeLNqebyXyGiq6jSU8GzYZlkq9VuZdZos8TwKftXTm/WK8yXkwymlsiW69gWCZuWWPQE6XPHcKt2HDKbpzyo/MtHyz/DL8a5LTnOWL2R9thFFHhg+TPSdd2NlvxNGNZFnm9wo9n75Cqrf9DOuGNc9bfjk/d2QVKUWVibX5ibUe2Rdvh/ugic4uZloIWh13lq6+f4GuvnaSrI9BQ0d1DVmeMIiEPkZAHy4JCscJCIsvUbJqp2RST00mmZlPEo156OkOHRixkp4iiwPGBGK++MMCLz/XR1xXeVcsaRZFoi/rwuhsKtaIg8OEn4035Xz5Mtabz/sejfP1Lp3C7bfuyOK3WdManlvnhz2+xnMy3dA6LooDHZeNLLw3x2qUhjvfHcLt2916z2sYZCriIRb2EA25+9dEDbt2fa2k7C4ksH3wyRn9PmC+9NLTt/REEAbtNJRxwYberW1ZzKtU66WyJUrm2a7+nZLrA8haevA6HRl93iFNDbXzwydimnSHlSp3FRJ6BntqufH+rQjHpTKmpdtlwsDHjv1NWE1k/+NlNhscWW+ok0DSZY/1RvvLqCV58to9w0LUrAfXDSJJIPOol6HcSCbnxeuy8/d59ZltoBbcsmJlL8/7lMc4cb2egd//WnpZlkUwXefu9+ywksi1XtjVVprcrxHe+epaXLw7g89p35Rq3Gsx2dwSJR70EfC58HgdXrk/sSfdDs6iaQsfAoz72gYhnx+J/umGSLW8cnFcqde6NLtAR9+Pz2Dc8j5eTBUrlKl5P890PFha5chVjHQ0fSRQIuZ0HLkTYDIIgoMoSAZeDVKH0RCJGNwzy5cOhWL7rK0PTMjExsYm2bVnh7IQ+T4CzwTjvzI3zk+kH9Hn8uFUNWRCxaAx7p6tlbqeWmMxl+PXekwgIzBWf9DyK2l07uoDUDJ1PU1P8ZO4On6SmSFYK6JZJQHVwPtjFr3Wc5ZlAJx7lyZtiVk9jkxwo4pM3dUXUKOo5SsbhKOEfBBYWuVqFPxr7iAf5pXWf87e6n6PLGdhxAHvEzhifSpBINn+uKorEuVMdfPON03S2+Xd9odQMgtCYVXS7bAz0RKjrBlMzKe4+mMfvc9D5OUlmCILAicE43/7KGS4910donRb63cLp0Dhzsh2HQyWXr3B7eK6lRbRhmEzOJJmeTREOuHZVVGc9TKtR9f3Zr+4xOploqVoligIhv4tXXxjgd757gUjIvafnsSxL9HWFGjY2fgemaTE8tti0yqtpWszMp/jxL25zYjBGKODa0Qx/PObD7bJtGcCapkVxRYm4uyO47fd7mKXl/JbXG7dTo7crRFdHoCkLvZm5hofubgSwtZrO/FKOehPtw7B7AWy5UuPG3Vne/WiEfKH5xafDrnJ8IMqvf/0ZXr44gKrIu27n8zCq2giWPa7GPO1f/fg66RVhnWao1nTGJhO8/f59ejqDLbeBbpdypc7oZKLhr91iEKYqMj1dIb7ztbN8683Te7LPjUBW4eL5HpyOxkjIux+PkEofjkoawNJMilq1Tv/pzicey5QrFKsbJz1Ny6JYrXFzboHhxWU6/N51W45zhTL//q8/5btfO8upY20bXpfHphIMjy1y5kRH8/oAVqO9dr1zVRQEPHbtwDs+m0UWRdw2lfVMvQ3T2nTOdz/Z9QBWEzVUUV1pJdvfL0sVJZyKSrZW4f/8yc95IdpFu9ODXVYwLYtsrcJ4LsX15QU8qkrdNHh/fnJN8GUVURD4/aHzuNXtL5Lmy1n+YvoaP527i/5QRmaunGVu5iamZeFWbJwPPPljdcteMvUkU6WRRquNoAAWdbPOWOEuuqWjiYfLQ+qIIx5H1w3ml7Lk8s2LN7kcGr/5zfPEIp4DCV4fZ7U6O9Ab2deM/n7QEffxt779LBfP9+y6lcl6qIrMicE43/naWbKFMmMTiZYEiAzT4ta9Ofq7w3sewFYqdUbGl/jR27daa7Wk0Zp26UIff/C3X8bjtu3boiXgc/LqC4M47Cr//I/eZWY+3fS+F0s1bt+f4+337/Odr57FYd++P2xb1IvbZWO+CSXgcrXO3GJ21wLYxUSOxBZtyW6Xjd7OIO0xH4oiY2wyBwswPZ8iV6iwvj5qa1RrOtNzqaaDnHDARcC3sySsYZgsJvL8xQ+vkc2Vm9YiUFWJwd4Iv/HN83zppWM72odWEASBeNTLr3/jHNlcib955y7FFlpyk5ki7348yjffPE0svD/3kYWlLFeuTbbc9rz6Wd98+Rjf/vKZJwTy9oJTK0q/9ZrOz9+/v+1Z3e1QLlQobtC+fOP9YQzdXDeAvTm7wM25xQ23Wzd05rN57s4nyJYrfP3kIA71STG5YrnGux+PcPGZbob6o+tsqUEiWeD9K2O4XfamA1iLhhLxuj8vQUCRpKY0gA4DgtAIYlctCR/GsqwNbYL2m10PYP2qH6/ipWyU12ZhgX354n42M8r/5dN31v7/T6bWV9ECKOt1/sXdT9Z9TBZFvtd7akcB7JXkJBP55UeC14e5vDzBxVAPz/g7nrhgDbpO80HyZ7y99Nd0OvrxqQGwLBLVRcaK9+hxDhKzHZzS3hFHNEMmV6ZQrDZdCZJlkVDQxdmTHU+Fwu/TjKbJ/N5vXuT5Z7r3JXh9mNcuDXHjzgzLyULLc6XDowvkC3u7mLYsi7mFDO9+PEK2xVkxTVN45nQnv/dbL+BrovWsbhiUdR1BAE2SUdepGuimSc3QqRkmFhaSIGKX5cYC47F7h9OhcelCP6l0iX/z/cvML2aaDpZy+Qp/9oOrvPL8ADZNQdqm4nNb1Iu7ydm9SqW+K4rBsOI3ndi6AutyarTH/bhdNiIhN3MLmU2vUdMrFVjLsnYcXFSrOjNNqnILNCqwPu/OKrCFUpX7owt8fHV9H81131uArrYAX3ntxL4Gr5+9v0DA6+Dv/51XGJlIcH90kVqT85GGYZJI5vnxL27zO9+9gGuPq7CmaTI1m+bytYmWX+tyalw41813vnp2X50LTg7FV5Ip6ZZHDnbC2O0Zrr5zD1l58jo3enuWjr71k8TvjU7yx5/c2HC7wooDgdumcbG3k7/z/LknBJwaz2sORZGoVutNn3Or226ISz5RtASrId72ZDh4ODEtqBsbGHwKHJpK8q4HsD2OHjrtnQwXhvkk/QlD7u3P1LTK2WCM//TMizvejigIuJSdzeQkKgUK+sYtD+laiXy9goX1RHB/xncBl+zhRvYjRgp3yWezCAj4lCAX/K9wzvciEdtu5IOPOGLvyGRLLd0AbJpCd3tgV8RSjtgYh13l9UtDXLrQv+/BKzTmgV67NMTkbIor1ydbeu2D8SXyTVhC7ATdMJmYXua9j0dbfu3ZE+18843TTdueXFtc4P995SOcispvnzzF6929TzxnJJXiL+7f4Wfjo5TqdY4FQ/zHz13kbDSGTX7yFi5LIt/68hkeTCzxzoe1pgXUDNNkOVXglx8O8403Tm1byTUe9TXdblup7l4AW63pJJL5Le26XE4bsUjj++nvCZNI5jcNYGfn0+QK27MAe3If60zNppqqgjqdGn6fA4d9Z8m8mfk0P/3V3ZZe43LauHShn6+8emJH770TBEHA5dT43e9e4J/9q18x1YItTalc46fv3OXXvnIW1x53ayynioxMLDG3hfL1ejxzqoM3Xh7alljTThnojfC9b57n3shC00nmnbIwlWTi/jzPvPJkUsTuUBHl9e/9rw70EHBufK/SJAm/00F3wMdgNIRNlndUMktnSmuCnU0jgE1pCMMaj/2+V1uct+l4tu+YpkmpVme9gFsURLQ91iVpll3fi05HJ+f950nVUlxNX0UVVV4JvUJIDSGLe/uhj/nDdLi8O96OIAg4lJ3dNBo3qI3PVsMyMayVdoPHfmmSINPl7CesxXkl9HUMq6FWKAsydsmBXXIiCo0fVt0ss1wZZ6TwLs8FfgeH7NvRfh9xxG5RqdZbahGVZYmAz3kg4wdfFGRJpC3m4/d/6wU8LtuBHGdBaAhH9XWHuTM8v6bw3Az5YpVUtkSlUsfWpN9oq0xMJ7l6a6blQDke8fL8+R7OnGjfVAjLsixytSrfv3eXt0aGSZRKHAsG1/2tLJeK/Kub11gqFvmdk2cIORx8sjDH//6dn/NPvvx1hoKhdaq2DbXi733jHEuJHB9fm2hagEo3DH709m3On+7C53VsSwfC53Xg8zhQFXlLq5hypc7swtatxs0wt5Ahk9t8XtKmKfi9DtxOG+VKnb6uEJ/cmNx0HrtcqbOcLJAvVHac8KlWV1qIm/g+4hHvjn+j+WKF0fEEt+7NtvS6C+e6efHZ3gMVqxMEAVFs7MvP371PMlWg2OS1wjBMFpfz3Lw7y8Vne9cU5/eC0ckEd4bnW559jYTcPHO6k2N9sX2/DguCgNOhcqw/ykvP9/Pe5dFte/C2Qqw7xItfO8PzXzn9xGOyKlPfoJ3/mY44J2IbW0cKgoAsiiiStBZcrR7R6dkUEzNJCqUqy8kClmVxe3ge3bCwP5YcskyLdLbM37xzB0WWmuqiWdsHBNw2jUWhiMGjCuOGabKYLaxUYQ8/NcNkKVdY95xWJBGXdjhELHc9oiwZJRRBIayFma/M80HyA8aL44TUEB7F0/CDZfObYtQW5Vn/sy2/t11WsMuHo/XQp9qxSRt/yT7Fjktefz5KQEATbWjq1hddyzKpmyVy9QXMI2udIw4Rhmm15v1qWU/NBf5pJeh38uoLA7TFfEi7qDbcKnabSl9XiPaYjwfj6wuxrYdpWiSSeQqlyp4FsONTy9y6N9u0cMwq5890cv5015aLft00SRSLvD8zzdf6B7i6ML9u6zDA5blZ5gt5zkVjfHvwGHZZps3t5v3pKT6YmSLkcBBzPapiv3pL6WoP8uyZLuYWs01XrywLZucz3BmeIxJyb0vYS5YaowBej33LedRqtc7icg5dN3YsXjMzn96y2uz12Aj6nUiSiCyL9HWHtlQ5tyxYXM6TzpZ2FMDqukG+WCGVeVLZcz3aYs1XsjdiZjbNjbszlMrNC6aFAi7On+6kv2d3Fcm3QyPQarTZTs4mGZ1o3n1BX/GGPTYQ27MA1jQtpmZTjG3D4/rsiQ5ODsb37Dq2FZIoEgq4+MprJ7h8bYLyPgSw3UNx4t0hvOtcV5559diGNjpOTcW5zaApky9z894sd4fnWU4XMU2Lj69OcPv+/BNjEpbVEFqr6wbffPM0Az3N616IokDY42JyOUPdeDSANS2LTKlMulgm7HFu6Wl7kFTrOqlCaUOlYU2WCLkPhzjqrgew1zPXuZa5RqqWombWKBklUrUUNtGGXbKjiMqW87CnvKe2FcAeJk752mh3+BgvLK8rq3020EGfO7TuDVs3dRarMyxUZijqeYx1AtNe53F6nINAQ5VXNyuMFt5DREIUZMK2fiK2AWpmhfnyHXL1BSzLwCWHCNn60M0aqdoUPc6LTBU/wcQgbj9BtjaPBQS1bparY6SqUwA45QBRW6PtI1ufRxRk4vZGe9Fs6SYAPrUdAViujpOpNeYq3EqYuP0kNslDojJKujaNJrkp6svUzQr9rpdxyIG1ivIRzVMx6kwWktzKzK2dYxGbm0F3hHbnwSvlqorcknerbphksuXHJNWO2C0kSaQ97uf1F4cOvE1bEKCrPUBH3N9SAAuNlr1CsUoo4N76yS2SyZYYn1pmrgkBooeJhj2cPdHRlEK1IAh4bTa+NTjExbZ2FgoFMpX1q703lxbRJImhYIg2d+PzDviDHAuGuJVY4pWunicC2FU0VebCuW5GxhPMzKebrsLWdYNPb05zYjC+bWXqVfGhrQJYw7QoFCskU0VCQde2524BZuYyZLZoH/Z7nWufSZYkervCKOvM4z3OwlKOZLq4I7GpcqVOIpmn3oT/KzRmiXcSeJmmxeRskjvD8y297szxNgZ7I3sulNYK50518MEno4xNLjedFLWAG3dm+bWvlGiP+fYkGE+mC43ESa61WX6nQ+PMiXa62gO7vk+tYLcpnBiM09MZZHQi0ZQ38U5wrQiSWaaFrhvISsNWxrIsAmFPawnvJomE3Dx7pptI0M3Y1DLzCxk64n7aYt5HPMUFVopHmkw07OH86U4i4eZGQaAxehj3uleC0ycTRnXDZHQpRXvAi89xeAPYTKnCeCKFvkExwaYoRL27f+/dDrsewC5UFhgpjgCgSRoan10Ea1aNmrF1C0jFOBiT5d1kwBPh9egQJb3GWGGZwsq8q0exM+AJ88320wy418/uzJbHuZH9mMXKLALCugt6vxKCtQDWpGRkqJtlJEEhXR1Bt6q45QgFPclY4QM8chhBEFmo3MW0dCws5sq3aLOfZrJ4mbpZxS2HSVRHMC0DWVSZLFzGIfuwgOnSNSRRxS2HSdemKdQTxGzHAYuxwvsE1R6ccoB8fZGZ0g1skhuwGC9+hE3yEtY00rVppopXCGn9SIKMblaxOKq4bZdCvco7iw94a/YWdbNx4znjb0ftkA9FAOtyqC0FStWazuxCmlKphuwWWwp+j9gan8fOUF+Uns7dUXzdKfGol2ik9RthNldqqaLUChMzSSamk1S2UKZ9nDPH2+jrbs4fWBZFwg4n3x06DjQWPhst3ObyORyKivchv3JZFOn1+bk8N0Opvvn9tLsjyLGBKFdvT7VkZ3X3wTwz8xkGeiNoauvLhHDQjb9J9VxdN5meS+HzObYtZGNZFjML6SYCWAfhYCOAlSSBSMiNx2VjaTm/aQvlwlJ2x5YjhWKV+cUnLfs2YqcV2HS2xMR0ioWl5t9TkSXOn+miPX7w94+HiUe8tMV8uJxaS63980tZFpZy9HWFcTh2v+1xcibJ/EIGw2gt8OrtDNLTGdx1b+hWkSQRr8vGs2e6mV/MUqvvzqz3VhRyZa796h4vfO0M6opg48zoIrVKnePPPakDkC6VSRSKyKJIV8CHvLI2sCyLyVSG0USKdKmMQ1XoCwUYiobWuhujIQ/RkIf62S4ejC3x3sejXDzfw4Vz3U8cf1EQ0DQFj9u2IsjUfNJDEgV6w37UTVSvr4zPcK4rhs9xsN/7ZizlCtyYXtjwcaem0h06HNeHXQ9gu53dVM2dmdx2Obp2aW8ODoes8rW2k4RtLj5enmCpksOwLNocPr4UHeSEL45HWb8d6Vb2E6ZL44S1KB2OvhUbnUeJ2Nof+f+mZTDgfhWvEud65vtUjBzZ+jzZ+jw1o8Dp0P8ITXJxLfUXZOpzaKILRXRQ1JPoVhXDqlIyMghICJikqpMkaxMMeP4DAFKZSbK1OfxKB04pwHz5NiUjDZZFob5Mj/MikqCwXB2noCfod7/UUPMs3yZbn8OrxACQBBW/2kG36/ldPuJfPAp6hQ8SY4zmE2sV2KDmoriJeNh+4nLZHslwbkW9bjC3mOX+6CJnT7Zjtx2OOYvPC+0xH2dPduyr2uVm+Lx2Aj4niixSb8GqplCsUq3tfgBrWfBgbKklsRgARRY5d6qTWGS7+gsbL37ztRphhxPbQ4siURDwahr5Wm1LOwNVlenrDjHQG2kpgF1OFRifXuZsup14tPXPFQk1719a1w2m5lKcGIpvK1iGhmjPYiJPsbT52sPvc6xV7hvemDLxqJeZ+cymr00k86QyRUzT3HZirViqsrDUXGVfkSUiIfeOqqAT08tMTC9T15uvqkVCbnq7QnhbmP3bDxRFoiPuJxx0tRTA6rrBxPQyJ4biexLAjk8lWUg0nyBY5ezJDsJB96HQepAViYvne/jF+/e3TADtFrlUgbf+h3c5/9pxVE1BEASGr06SSxfXDWAfLCV5b3QSr13j9y4+sxbALuWL/OjOMH9zd4S5TB6vw8ZLfV38g1eeJ+Ryrj0PGr+pgN/JYF9kLSHi3UURQ0kUOdEWwb7JNezK+CzfODtE3OfZNNA9KCq1OhPLaW5uEsC67RpDsdA+7tXG7HoAeyl4iUvBS7u92acSv+bgzfhx3owfb+l1S9U5Oh19vBh8g7AW3/L5AhI+NY4saAiCiCxo1IUKNbNEzSjilsMINH4sdslLQV8GBBySl8XKPVTRiSxoZGsziIKKKrko6WmytTmupf+88SYWyKKGKEg4lRAeJcZU8RPAIqB14ZAD1M0KJT3NcmV07XWKYEN6KABXJSde9UhBeaeYlkm+XuVedgFzA6umg8bt0nA5NRRFarptrlKp84Of3iAe9dIe8x2aYOtpRxQE2mI+TgzGDnpX1pAlCbfLhsdtJ9lCdatQqu6Jd6GuG0zNplhscUEaCroY6Am3JPjR9D6ZJgiP2dAJIIkSumGygdHBI3R3BDk+EOPDT8ZbatEbm0wws5DeVgAb9LvWBNm2ek9dN5icTe1ICXVmPk2+UN60TVoQGi3EQf+jgXVnW4Db9+c2DWCzuTKpdJFKVd+2sFGhVGW+yQA2GHDiddubam9eD8uyGJ9aZmou3dLrzpxox+91HBqbjIdpi3kJB92MTS639LqpuTTZXKONeDcxTYvZhXRL1y5oVOpODMaeOA8PClkSOTEYx+O2M7+UbXrUYCcIgoCiypgrOhmW2egzFDZo8x5JNALYoWgQWRQbrwF+fn+UH94eplirMxAJUqrV+OHtYQbCQb59+tgTVjrOFQX+eNSLsssBpCSKDMaCeOw2RCG3robC5HKaTyfm6Az66PB7DkUCYxXLsphMZrg6Mcd8Zv3RD1kSCbmc9IU/pxXYI3aOaZmoog1NbG5B1PgJPLnQV0U7TjnARPFjDOpYlkZeX8JaCTpztQXGix/Q63wBE4uF8h0CWjcx7Rg5cYGwrZ+vxv4LBERMDAREBERU0UHUdoybmb8G4Jz/e7jlMAZ1PGqMDusZXon8AwQETMtAEBqvW93Xp8XM+TBT0GtMFVNk96nlZzvIkkRnmx+/18HS8uazcKvU6gZvvz/MyWNtfPmV44QCrkN1kX9acbtsxCPebc807hUOm4q3xQC2Uqm3VFVqlvmlLIlknmoL1k8AZ4534HHb9+Q8VSUJLOvRxZAFdUNHkcSmAo1gwEVXewCXQyVfbL47amomxcJiblv+py6nht/rwGFXt6yK6rrJ1EwKo4Uq/OOMTy1TLG3eedJQILY/0TbY1ebfMii1gGSmyGIiR29X69UHy7IothDAdrcHsO9A3MeyYGY+w2KT77fKicHYgbe1bkQo4MbvbV08Zm4hQ65FP+dmKJarJJIFCi38pgShIaTXFvUdqMLzwwiCgN2m0NnuX0kE7ccIn4VpGGSWctgcKtVyjXKhgrlBEmu5UEQSRQbCQaSVALZmGPzNvRGK1Rp/78Vn+d3nznBvIcH/5q9+ylu37vP6YO8TAazbZeM7Xz27J59IFAS8DjvH4iFmU1nSpfWP4/c/uU1P2EfM60IWJQ7D8sayLGq6wfsPJvnp7ZENnxf1ujnRHsHxeVUhPmLndDh6KRtFFquzeBTftrejik6ctiDBSi+/XPyvMS0Dpxyk1/UiYdsAdbPMUmWEi8HfB2Ak/yv8ahc+pRNVdJKpzfPjuf8KQWhcME75vkmH4yyq6MAlh9CtxoXbrURQRBsyNmK245T09MrrGtn354K/S0h7si3kiO2Trha5l924zeOw0N0eIOh3Nh3ArvJHf/oRhUKFr33p1IELXXweaI/56GhCYGi/0VS55dY+3TD3pEowMrFEKtNaNUUQ4NTxNtx75OMYsNupmyYl/bOWacOyWC6X8drsG6oXP7KPNBbNA31Rrt6cavq9FxM5FhJZqjUdm9Z6MOXzOoiE3IxPbRXANirfurH9pMTY1DLFDVQzVwkH3Xg9TwZAne2BpoKJZHr7AaxpWuQLFZZTW7dxCwJ0dQR3FMDOLmRYThVaFuUZ6I0ciCdpMwS8Djzu1oPr+cUs+eLuB2VTM6mWA2NREBjqjz1h33IY6OsKceve3L4EsN6gm6/+7iX+63/8xyiqTK1SZ/BsF69977l1n1+q1RFFAb+j8fs1LIsPx6dZyBV4rqudc+0xVEnCZ7dxui3KB2NTTygB7xfP93Vyc3pxwwB2MVfgLz65g1NV+dKJ/n3eu/UxLfjra/f40Y1h0sWNiyLdQS/P9RyeDsqjAPYQErN18En6Pd5e+itG8rfxqkFk4dGvqsPeS5u9C1m0EbEP8YISxC41FNN6nBcx0bFLPkRB4pT3m1TNAmCiCHYcsh9FsBGzH+dr8X+01tJ7Kfw/xi55UEQNlxDmmOcNupyfqUG75UhjRlYQ8KpxXg7/R4DQaFEWRATAp3ZwwvNVKuZnAYtXiSMg0uE4R8Q2hFM+HCIyTzOZWon7T0EAe3wwTlvUx72RhZZ88jK5Mm/9/DYzCxlef3GQ585279iD8YtMJOQm1oKi4n4hy9KWNiaPYxgG5h7YLU3NpMi2OAMmCgJDe6jY2ucL8OnCHMnSZyqnddPg7vISXR4vLmXrwEsQBPxeB31doZYCWN0wWVrOs7CUpaez9aDNvxbAbt7yaZgW6WyJXKFCwOdE3kZr38RUktIWFdhw0L1um3dHvLlqWDJd3Na8IzT8WFPpEnoTVWYBge72ALYdaABMziRbSsaIYuMc8Xu3d/z3A6dTw2Fv/XdWKFXJF6rUanpLmgxbMbuQobBFd8HjiKLAYG/kUOo7tMf9OPepKmxzapx/7Tjh9gClfBlJlgjFfYQ2SLJKoogsimvWb6Zp8svhcUq1OmfaY/SGAg0vWEnCbdPIlsstedDvJhf7Ovnp7REmltPU1ukUMkyLG1MLqNJNdNPkjRP9B+YKYFkWdcPg+5/c5fuf3mFkMbmhfZzXbuNEW4QTbc1bC+01RwHsISRRnSdbT1IxSpT1IjbJgSg8elNRBJU2exeiIGGTPNikzxanLuXRxYZXXX/uzSZ5aHN8ZigdsQ2s/W9ZUHGLEdzK+ierItqJ2AbX+bsNRY3h4cn3dMh+HBy+KtDThmlZpKolHuRbsx85CKJhD4O9EW7fn2t58ZdI5vn46gQLSzlu3Zvj3KlOzp3swO3SjhSKWyQcdBMOHg7p+4eRJAFZbu27NAxrTyqwc4vZlqoPoigQ9LsI+l3I25xV3Irn29r5dGGOTxfm6PH58NnsXJ6bZSyd4ntDJwnam2up9LjsdGxDWTa1UnXcTgDr8zqIhppLmui6wWIiRzzibSmAMk2TYqnGQiK3Zet3OOTCt04LqstpI+B3YbMpVCobi4OtHovtkM2Vm6q+AiBAV8fOWohnFzItJWMkSaQ95kdT5UM5/wqN+Tu7pqCpcktt/qZpUShWKVfquxrALi3nKJdbE0wUBIGu9sC2xcr2knjEs29tzZIk4vY7OfFcL7VqHUkWkWRpw1EFt6ZimCZz2RzVus5kKsOVyRk6fB76Qn5cKy2tpmVRrtUP1Igv5HbwXE8740spRpfWFwQsVmtcnZyjWtdJ5Iq8eaqfiNu1r77LNd1gJpXlJzcf8PbdUUaXUlTqG/+uTnVEeK6nHZft8HRoHL5f0RFEtDjnfS9t+pyAGt6nvTnisFHQq8yXsySrO7N12A80VebU8TbujiywmMi1fGPJFyrcuT/H1GyKB+NL3B2eZ7AvQl93mGjYs6NF3hcFURTw+xzbmh/bawRBQGoxGWFaVkvV/K2wLIta3WA5VaC8SQDzOIos0dURQNP2btE/FAzxQnsHN5cW+ePbt7DJMsvlEpc6ungu3oZHa24x4XRqxCIeJEnc1C7mcdK5UkvqxQ/j9zqIhJtLmlhWI+g6PhBvqZqtGyZTsykKxcqWSY1I0L2uuq4kicTCHjwu26YBbMOvtkCpXGt5od8IYLceoxAEAZfTRjjoRt1BUmRxKUehhbZZWRJpi3lbTibtJ4IgoChSywEsNL67Yrm2q+rKiWSBcqW1AFYUG17chzGAjYY82PdxLlcQBBBAa+I9u4N+HFOzvDc6iSSITKUzLOTyfOPUEF0B39r1t6rrLOTy+Oz2tWrtfiOJIpcGuhheWGYuk6e8gWJ+rlzl6uQciXyJmXSWZ7raON4WJuJxYWuxK6lZLKsRPM+ms9ydW+LTiTneG55kOV/c0PcVIOJx8WJ/F6c6oodiZneVw/crOoKzvhcOeheOOMQkKnkmi8k165zDTn93mPOnOxkeXWxaxORhLBqB7NVb01y/M8NAT4Rzpzo4PhCjs91PJOjG59m+h+TnHbtdxe2yYTuEwf7qIqYl9iC9nk4XyRcqLSnhyrJEd3tgx+1fx0Nh8tUaEeeTqqQuVeUb/YN4NRtXF+fJ1ar0+vx8vX+ATq8HpYkZWABVkfF5HLidNjK50tYvWCGTLZFItja/vorbZSMccDVtkzS3kGnZf7deN7g/urjlrKcoCoQC7g1tM+IRL163fdNZfd0wyeTKJJJ5ujtaG4PJ5EokmqjAyrJIe8yH3aZuq8vEshrdCYlkfktRq4cRRZFIyNNyMmm/kSRxWy3OxXKt5WBzK1pNeAlCQ0gsGHDuWcfGTnC7bTjtastJrv3gVDzCaCLOW7eH+VeXr4EF59rjvNrfTcTVECbUTZNMqcJUOkNvyN+UPsBe0RcJcGmgi9HF5KaeqlXdYHQpuaZOfLGvg+PxCHGfm4DLjtdhw6WpSGJrnrSrrIpdFcpVMqUKyUKJ6VSWWzOLXBmfYWyDCvHDqJLEpYEuLvZ3EnIfDuXsVY4C2KeQTC2FLMq45MM303bE3rNQzjJeaM1K4CBxu2ycP93J7EKGv/zx9Zaz5w9jmhbDY4sMjy0S8Dk4eayN5891c2IwTsDnbARqmnzUYvwQfo9jz2Y0Pw9YVkOBuNXzUpZEYhHvjhMn3zt2ctPH29wefuvEKX7rxKltv4cggKZKhIMusvlS0xXsXL5CMlPEtKyWq8yaKuP12PF5HE0Fb7PbCWB1g+GxhS1tuhx2Fb/PsWHHRjzqbWrGPleoMD2XbimAtazGTH8zLcSKLNHXFdxRJbRUrpLJlVo8ny2qNZ2xqQSOQzifuUoimW/JCmqValWntoP7zsOsJgnS2VJLdl6SJOL3OVAV6VC2aUuiiMupYdPklpIf+0FXwMc3Tg5hUxTuLSbw2+1858wxBiOhNT/VumFQ03UCDgevDvTgUA8uYSuJIs/3dTCfyTObzpEsbJ401E2Tm9ML3JxeIOB0MBgNcrIjwmA0REfAg9umocjSyhywiCgKiILQcPQQgBVbIdO0MCwLwzCpmwa1ukG6VGZqOcPwwjK3ZxeZWE5TaDKZIwCDsSDfPnfs0Hi/PsyhDmAbXk8WumliWA3PO3Pli1q7AwsNUxYRodGOJghIgoi4Iir0ebTgeGf5h4S1GJeCX96T7VuWhYnVOOZW49+WBY1vg8axXznuAo1jLosS0soP6jAf85VP0Phcm5xXq59BpHGhWD2npJW/H8RnXP09LJRzTBSS+/7+O6G3K8SbLx/j3sgCt+/NbSgU0AqpTIl3Pxrh/cujBP0uLp7v4dWLAxwbiOFyaMiyiCRtL3P5ecLrseE4hKqXhweLZKbYsjWPJIlEw4e/arWKosiEQ25GJhI0W8au1nQKxSr1urGttkeX00Z73NdUADu3kKVSqTdt22NZFvW6wfDo4pYBbDzixeXQNtxuLOLB24TCbS5fZma+NW9Vy7LI5spNWUWpikR/d3hHVf2l5ULLyZhiqcYff/8yf/z9y9t+38OMbhi7WlUslWtUq3pL9zFZkggFXIcyeF3F7bJht6mHLoAFGIgEGYhsnDiyKQov9nXxQm9n4xgf8HGOeFx86UQfy4Ui//aD69SbPP9SxRIfjZX4aGwaaPgGB50Ooj43QZcDr8OGU1OxyTKyKCKKDWEo3TQp1eoUyjU38D01AAEAAElEQVQypTKJfJHFbIFseXuq0qIg4LFr/E/feIGz3XG0PWpr3gmHb48ewgJmS1mupqa4l11gopBksZwjX69QNhuZWruk4JZthGwu2hw+up0BjntjHPPE8Kq2z6XnaL6ewSntnZ9jxagzX85yL7vAcG6J0XyCdK1Ivl6lqNfQTQNVkvGoNvyKgwFPhGcCnZz1tRGxedaCvINkqz2YLCS5mZ7lbnaByeLqeVWlYtaREHAoGi5Zw6c66HD4OOGNccIbZ9ATQRUP5mdjYrFUyTOSX2KhvD0xkYNkoDfCP/i9V/kn/81PmJtP75pKoGlaLKfy/OQXd/j5u/eIRbw8d7aLS8/1c3wg+oVXL3bY1ZaVfr9IWDRaZfVtBLChoAtROvjrXTMoikTI70QQaGmGuFbVyeXKhEOti4C5HBptMT/Xbs9s+dyFRJZypb6aH90Sy7IolWtMzqS2TD60xXyb2sNEQg2LHVEUNp2lzRcqLQewuXyZTK68ZZANje+orye8IyXgTK7U1Ht9kTAMc9cCWMtqnAetbk+SRAJ+x6HuDnI6NDTt6b1XHLaiVW/Yz/eeO8VyrsgPbwxvaxuGaZHIF0kWS2sFovUmb6yV/7JoaEQ0tCK2t8YSAJ/Txj/69utc6OtYE8k6bOzZmZqsFnl3aYQ/Gvvoiccuhfv4g/5L+LX1+6kztRJXU9P8zdwd7ucWydXKlI06VUOnbhkrFcHGF5MRBJaEPFPFFDfTs2iSjF1ScMgaA+4wL0X6eSHUS9S+s3Zb0zK5n1vkf3ftr3a0nVUuhfv4Vvtp2p0OMrUUqqgS1uIIgsB8eZqSsX621sIkW08Tse2+F9NUIcXHy+N8uDzOSG6JklGjYtSpGPWVKriFaZlYgChAoiIiCSJ3s/P8fP4udllFETZWktuK54Pd/G7P83S5du77qYqPtulYlkWuXuG9xChvz99jvLBM9vHzymxUYwVArJVWqvkSt9Kz/HJxGIekErd7eS02yKuRQdodfuQ9uBnVDJ1UrcRsKc1sKcNcKcPMyr+ztRJLlcKG8693snP8X2//hH/+4Fc72gebpPBaZJDf7nkOr7rzAFAQBDRVZqg/yj/6T7/GH/67D7h9f66lGaLNsKxGO2FdN5ieS5HKFPngkzFiYS8nBmM8e6aLMyfa0VT5UN3g9gOHXT2UoiGHBqshstOMxcnDiKKAx2k71BWVh5ElcVsen9WaTrawzQDWqdEe8zX13FrNIJluCOM00/JertSbCl6h0SLs3MRvWJElgn4nXreddHbjdr9Cscr8QpZ63UCWm+vuSKaLZDbZ5iP7oUj0dIZ21EKczZVb7ib4vGPo5q4lTC3LItvivDw0Kmkel/2gC4OboqkyyiG1UdoKAQ686vo4kijSG/Lz97/0PAC/uDe+oajTZliwcv7uvb6yKAj0hP38h689x6vHenDZ1EO7ZtqzVY1uGiQrBW5n5p54LKK5SddKTwSwNUPnTmaen87f5XJygulimly9vOlXZlkWpmVQxwADeOjcmC2lcSs2jntjOw5gLaCo19b9PNuh0+mnZNSYLSf4IPkzPLKX32j/AwA+Sr3NVGl0wz1Zqswz6Nr+PNTDmJZF2ajx1swtPkyMMZJfYrGcJ69v3nZgWGBYBmBQNuqka80Lg2xE1Oamau7OnIomKYgrOaqiXuV2Zo63Zm5xMzPLbDFNUa9hbnBmWYBhmRgWND4fZOsNS4LZUobZcobLy5O8ETvGK5EBQradVcNrhs77iTGmiykWKzkSlQLZWpmiXqWoVynoVYor1e+6tfnCpKTXKOk1KLVWJXgch6Qy4I6g76JQlCAI2G0KJwbj/Id/+2V+/t593r88wvxSdldVZXXdJJsrk82VSSznmZ5Lce3WNLGoh+MDcc4cb6e7I/CFmQu1aQrKQ6IhhmWSq1X5p9d+yVc7BinpdW6m5inpdc4F43yj8xgfLE3x7vw4pmXxYrSLFyJdBGwNFWNrpd3+TnqRK0szjOWT5GpV6uaT5+av95zia51D+/VRt002X2m5AiuKAm6X7dDe3B9HkkScTlvLPUm1uk6+0Jrf5Soup0Z73Nf085eW8xRK1aZ+m6VyjfGp5aauHW1R76bbFASBUMBFMODcNIDVDZNcvsxCItu0LdFyqtCUcJaiSAT9Lrxu+46SItl868mYzzs7qUY9jmVZ5PNljBa9qEVRwGk/vMEAgKY9vQHsYUVTZPojQf7+688Tcjv5ya0HLGULB2r1sxF2VeFsV5zfeO4kLw9247Uf7vvbgaTly0adTO1Rj7KiXuXDxBg/mr3DleQES5XtKR8+TK5ewaVo2KTDO//lkX30OY+hiZ9VuRYqMzgkJ12OgSeeb2FSMZr3d9uMmqEzU0rz1uwtfrkwzHhhmbKxOxWxg8YuKUiiSLJa5OPlcd6aucWV5AS5+vbmAVapmjoThSRzpSxL5RzJapEvx4/T42pNlfLxbX5/+hpj+QTJapGCvn4w8HlAEARUReL08TYcdpW2qJePro5z78EC2fzunNcPU6sbLC3nWVrOc3dkgeHRJW7cmaGvO8xgb4T+njDxiHdf/df2G0WWHhEasiyo6Do/m31Avl7FISvMFLMslgvczyxRNw3eW5wkW60wU8wwW8wiCeIjgeiHi1P85cRt5ks5HLKKJslkaxVuJOcp1Ks8G25nwBPCqRzO1qOHsYBypdZyhUYUBJwO7ak5dyRRxGlXV6oUzX9WXTc3tZfZDJumEAq4cNhVSk14Zi4t5ygUq0Sb0AsplWqMTSa2fJ4oCsQimwewAKGAi5Dfxcj45tssVepMTCdpi/maGpdZThXIZLe+ttltCu0x346tbArFasvVwS8Cu5kkrVTrWK1eL0QRh109bEXCR9A0+VAqJC/lC8xmciiSxPFoCHlFYdiyLO4tJLg5t8hSvoBL0zjdFuXZzramr8uGkUQ35gALTT27J/uvyhLH28LI0mkCLge/uDvG8MLytqqxe0W738PF/k7ePNnPhd52PPatNQEOmgMJYCtGnexDAWxJr/He0ih/NvkpnySnKBm7M0CuiBLHPFEC6uGSfn6YqK2dsBZ/5G8SEic8z/BC4M11+twtFitzO86K1E2D6VKav5i6yp9OXiVfr2xYkYSGWJMiSqhio0XYME1qpr6rFbrdxC4rlPQan2Qn+fPJq1xJTu7qvtZMnZuZOfIrwebv9lzAp9q39b3opsmdzDzz5exTY42zE1aPUX9PmHDQTWebn4+vTnDr/izj08ltL5a3wljxjJyaTXHt9jS9XSFOH2vj+ECMrvYAHXE/irL9FvjDiiSJG1Z07qQXebO9n68HhrienOfH08PUzRucCcR4Ld7HL+ZGuZ1a4NryLF/uGEBEwLAs/nz8Fh8tTfFyrIcvtw8QtDlYLBX4ke0eb03d55gvzPd6TnPSH93nT7sNLItaXW+5QiOKAupT1JotisK25tsM09p2S6q00rYcDXuYmE5ueYwXE3kKxa2rvZbVsEYZn95cjV0QwOdpeCBv5asaDroIBrbupilX6oxPJbl0oX/L58JqALt1BdZhV+ls2/n4TKVax2yxOnhE81hAvW62LEQoCKBpyqG+vyiStCdjUTtleCnJL4fHCDgdDD0k5DSZyvCD2/d558EEyUIJl03lbHuMoNNBh79ZmzEDy9peh0krCILAYCyEz2Ej5nXz7vAEt6YXmE3nNvVg3Wu8dhuDsSAv9Hfx2rEejsXDT00V/sAC2EythLWicHstNc0fjX3EjfQstU1aSEUapvciAtaKSq6xwUVEAKI2Dx0OP055d6oAmijTZvdhWAa6ZaKbJrplrKkkbydAElfUbR+m09FHQI0gbyAW5FH82KXtB+WWZbFYyfHz+Xv88fgVihskDGRBJKA5CahOPKodt2LDKatIgkjN0CnoVbL1MrlameVqgaJe3fD7WEUAZEFCk2RUUUaTZDRRRpVkOp0BbNLunJKqKHMzPctfz9zgcnJy3cBQRGi8vyQjC40Lt2VZ6Ja5Nhu7WUBpYTFRWOavZq7T7vTxtfjJtQD/iObwuG28+FwfQ31Rrt6a4hcfPmBiapml5fyKoMveNNrk8hWu357hzv05omEPF5/p5YVne+ho8xMKuLHbDvdCoxXEFdn99XAqKq/Eenk53kPQ5uSnMw+YLmT4p5d+jQ6XF8M0mcylSFZL1AwDTZIp6TWuJKZxKSpfaR/gyx2DAJT1OkGbg5/NjpCulLFJ8lNRgQWo62ZL55ogNI7r03SKCAJrlYtWME1zRzOVNlWmuyPA1GwKw9j8GC8tNxfAGoZBLl9mbnFzX2lBEOjpDDb1ew4GXIQCLgRB2PRcKFdqjE8lmjpfDMMkmS6SLWxdgXXYVDrbm2tL3gxdNzYVojpih1gNVeNWe0AFQdhxdX2vEUUR4RB2lIwvp7g6M8+peGRtnWYBP7s/yjsPxpFFkRf7OsmVq3wwPsWxaIi/df40Pocdw0xjGEksqwQICIINRe5FEGQMM4NhZhEEO5L46G9PNxYxzSyWVcOiBogoUheCIKMbCSyqsLI+FEU3itz10OsyWFYNkBBFL4rcsbbdsMfFt585xom2ML+8N84HI1NMJzMkCyWqdX1fWotlScRrtxHxODnZHuXrZwY53RHD6zj8VdeHObgAtl7CsEzmShn+2fA73MrMPRK8CrAS3CioooQiyY0FkaxhExXqlkGpXqWg16ibOjXToLbyb8MyEQSBZwIduJXd6eEWEYjY3Pzd3ucp6FXy9Qp5vUqhXiFfr1LQK40ZRdNoyPtbBoV6dVsznd+I//amjw+6TuGSWxfUWKVs1Lm8PMG/Gvto3eBVAOySSofTz+vRIV6NDDDgieBWtEeCbcMyWSznuJGe5ecL97iWmmapkt+w/dUmyfhUJ2HNRcTmIWpv/DticxOxu2l3+Hc8q7xKtl7mx3N3uJOZeyIItUkKDknBo9pps/uI2z24VTsuWUU3TfL1KjOlNLOlNKlqkaJe2/B7tIDZYob/fvhdzvnaiTt8KEJri0RBEAhqTvSVc3czTCxKem3DVm9FkLDLCtoOlZLtstr4vvdJxTvgd/LmK8e5dKGfDz8d4ye/uMPoZIJsrky1pu/Zgqyum8zMZ5iZv8pPfnmH1y8N8sbLxxjoieB22VAU+akKUtZDFDe2tmp3eHCrGpIg4pQVInYXiigRtjtRRAmPqmGXFWqGQVmvo4gS2VqVmmHQ4fQ+EqAqokTM4UZEIFMrUzV2Z559P9DrrS36BUHYkdXJQSAIwrY8a03Tank++GE0TaGnI8h7l0cxttjMUjJPoVjZ0kqnUKyysJTb0odTEkX6e8Ib+r8+jMdlJ+h34bArm9qIVKp1JmaSGLqJvIVNV6FUJZtrzi/UYVfpatt5ANtIxux4M0dsgt5iwgtWE0j7dUfdHpIkcAjjV5LFMrIo0hcKIK4EsLlKlXceTGCYFr938Sy/ce4k9xeX+T/84Of89N4o3zg5hM9hp1K9TLnyMwwzhSBoyFI7Pvd/hiB4qNcfUCz/AN2Yw669hMf1B8CqwvlPqNbvYFkFdGMWy6oR8P4vEdDIl/49llUAJCyrjCL34vf8F4BCsfwDqrUbWFYZUXSjqc+iyL/3yOeRRJHBWIjecIBvnTvGz26P8It740wlMxQqVaorgpS7YTe4iiKJqLKMTZGJeFw829PGV08NcK67bc1L92njQFuIc/UK/7e7P+V2Zp7KYwtyh6xxIdjN86Eezgc66HWFcMlPBqPpWompQoo72Tk+SU5xMz3DXDmLiMAzgS7cyu5lFCI2N38w8BKwfvLNtCxKRpVcrcJIfok/HPmAj5MTu/b+q5z0nN/R6+9nF3hvaZTl6vrefA5Z45VIP/+z42/S4wpueMEVEYjbvcTtXt6IH+NHs7f5N2MfczMzu+7zXwg11KcvhHrW/rZX18r/38gHVI36E1VxSRB5OdzPN9tP8Wywm5DNtWa1tLovq99tplbio+Vxvj91jfcTYxsGl3XLYLac4Yezt/mdnuc2VNfeCJes8o/PfJOqsXX2raBX+MHMTd6avbXu4/3uMF9rO8lzwe6W9uFxJEEgqLlwKfsrdGS3Kbzx0jFee2GQa7dn+Mkv73D52gTLTfhI7pRCqcoPfnaLX300wmsvDvJrXz3LyaHdV/s+TNhlBUVs3LxEQcQuN5I7q7+JVeP0hrCZhSgIBDQ7iiSRrJQo1j9b6NdNg7lSDhMLr2pD26Vuiv2g5XZAeGpmX9cQGgvUVjEta0czlTZNpqcz2JQwUb5QIVeoUNvCdzabLzM9n9pye6IoMNATxqY1p4Ph99qJRbyMTmw8B6vrjapqKlskEvIgb3JMF5dyTVWUARwOlfbYLgSw9d1d+B7xJIax2cDVxmwngbSfiMLGyc6DpFyrIwoCfkdDK8awLD4cn2Yhl+eFnk7OtsdQJAmfw87p9ig/uze65rtaq98FQcXv/ccoUjdgAo17nqZeQBCcVGofPvaOOtX6bWzqMzgd36NSeZ9c8Q+xqS9Rq99C12dwOX4Tl+O7lKsfUCj9CXV9CkXupVx5D7vtSzjt30ASN9dGkUSBuM/N7798nr/70nnuzi7x0dgUl8dmuDu3xHJ+5+Ko0LiP90eCnO9u49JgN890xfG77Ic6mdIMBxbAjuaX+cncHd5bGqX8UBUwZvfwSmSAb7adpt8TXqvCKqK45oH0MD7VjssXZ8AT5uttp8jUSozkE1xOjvNiqHfXFuCPv+96X7wAuGQbDkmlaupNvbdhGViWiSw2LzS1kwtMzdC5lp7h4+XxdR9XBIkvRYf4jwZfodPp33TR8fB+qEh8JXYcEfgXI+9zP7f4xPOvp6f56YKfM/527LvU1r0RJb36yA1GFWUG3GH+/uArnAt04FFs2MSGUvFG361XtfNadJBBd4R3Fh/w3w6/88R2V6kYOn89e4OvtZ/Epzpa+o4kQWTQE6XRlLw52VqZjxLrf3cATkWjyxXgtH9ngZeAsGIjtH833IePmSSJnD7eRn93iO9+7RxXb03x3pVR7tyf2/PqQr5Y5efv3ef+6CKXLvTxva8/QyjoOpQ39p0iCeIjVXYBNv/NA3ZZ5ivtA/xo+j7/fuwm2VqFdqeX6WKGPxm9iWlZvNE+QLvTu/cfYJeQtqikPY5l0bIK6YFjsS0vTEkUUHaw8NZUhe7OYNMBfzpTJJsrEQlt3I2TyZWZnttaaV0UBfp7ItiaqMAKAvi8Dtqimwew0LBlGRlP4PM4kO0b38vml7IUSlsHsC6HRiTofqo9OL9IbNf7+dB3dgvCobOigUb1UJbEtfWRYZr8YniMSl3ndHuUnqC/0WEiCNhkmXylgrlScHDZv0Ol9iG5/D8DBJyOX8OmPgdoK56q631eGVUZoFK7QrV2DUGw47R/i9XVoSJ3IEkBQEYQNETBudKiDH73/5xy7T3SuX+CLLXjsH0NTV3fNWT1vS2rYU05FA/SFfLynfMnKFRqJPIFppNZppNZEvkiqWKJTKlCqVprVGmNRueQLIkokohNUXDbNPxOOyG3k7jPTVfQR0fAi9dhw67I2FQFTZaeGvu3zTiQq2VBr3I9Pc1EYZmi3gheBeBcoJNvtZ/m5cgAUZu7qSBHEkQkSUSTZNwK+FUHEbuHE94YMbu35XbOnSAIwsoCUEIRpCdmW9djrHCXB/lbPB98nZAaQxAErqbfJ6hF6bD3NrWNVpgppRnNL21oe3PG387rsSF6XMG1ykwzCIKAU9G4GOplqZJn5G7iiYplrlbhbmaeT5JTvBJ9UmF5N3n4PmETZc4Hu/h7/Zd4JtCBS27Ou7HRVqnR7QryFUmmbhn8dw/eo6g/uSAxLJOZYpq7mXmCKzPDzSIIQtPVqrJYR9pEZEFAQBakQ6283QyCIGDTFGyagtOhEQ27efZsFzNzaT69OcWNOzMsLuep13dfrbnRPlRjYjpJNl9mYirJd752lmdOdTa1EH6qaPEeJggCWPB3B8+Tq1W5ujzLSG4Zj2JDlSQcssJ/ef4NXo714FGfnnkaVW5tdt20rG0FgweJaVnbslcRRQF5By1msizi9zaElGq13JZqz6lMiUyuvGkAm82VmJ3fPICVJJGA30ko4Gx6//1eB21R35bP0w2T0Yklzp5sx7FJALuQaK4C63HbiEW8u5IkU5TWF6c2TeGVi/3Y7dqhbCHdKQ3BwJ3Z3T2MLEktx3mWtf3K7Rcdj91GXTeYSmYo1+qMLCf5dGqW/nCAnoAfTW6sn3TTpFCtIYoiqzc3SWrDrr2Bqpyhro+Tyf8/ifj/X0jS5rZalqWjyP1o6jkkMYT40IysIGgIyCtrfgEQaVR2QVEGECU/hpGkUvuIQvlPNwxgP9te49+qLKPKMh47hFwmbT43g7EQ5ZpOta5TNxpBq25YmFZjVMDCQkBAFAQkUVgJZqW1dmGHqmBXFaRNRomeVg4kgNUtk1S1SKr6WRB1MdTLdzrP8lK4f0dzkJIo4hFteHaxdXgvSdeTTJRGeC7w6trf7uWv02+dpM3ejcjuBrDjhSSzpcy6LUaSIHI20MEzgU7Ubbb/BTUnZ/0dDLoj3MstPPKYicVMKc0HibE9D2BXEYDT/nZ+u/s5LgS7cWyj8quIEnG7l2+0neLK8gTXUjPrKmXXTIPh3CJn/R0tBbBHbI6qyoSDboJ+Fz0dQXo7Q7z4bB/jU8sMjy8xNpFgMZHb9ba5ut6w4MnlG22NC4kcr1wcIOh3fu5uBK0iCgK5eoV2l5czgRjtTi82SSFoc3DCH8Gn2g+lmuW6CMLKor+1lxmGhWlaK0WLw38+WNb2ZllFQdyRKqUgNNSaO9oCpDIljOrmKuOpTJFsbmPRo4bPc4VEcvOxAlWR6OkIoqlK0wGdz+sgHt26c0DXDUYnlqnVNj+ei4kcxSYqsB63nVhkd/QfWk3GANhsCl966RjRiGdbQl+HHaddxevZpXuy0EjKbOc3f9iTXpZl7a7f0C4xEA7w6dQsbw+Pka1UmM/mSZXK/J3nz9Ed8K39vqu6zlw2R8BhRxYbdmHV2sdU67cBAdPMIwoBEMSGJWX1YyrV96jVHyAgIohu7NrLiKIHy6piGAtg1UGwIQo2HPZvshqoro9JsfwDDDMNmBhGAlHcXieSKIrYVBGbqsDhNVI5UA6sX8V66L+7nAG+3XGG1yKDBG27lyV7WjAtg6r5mT9ptp6ibBQbF5JdXhdNFZMslHPrPuZT7fQ6g0Rt2xeIkkWJsM3F2UDHEwEsNGaW72XnKek17NLeK73G7T5eiQxwKdy3reB1FUWUaHf4+HL8OBOF5IaehiP5BHl9Z16zR6yPKDZ8N4f6owz2RThzop3JmSSjk8tMTC8zPZtiei5NJltq2dNzMyrVOtduT1MoVajXDV65OEAs4nkqgpa94nZqkbFcildiPfxG72l63YGn+nhoqtyy+qZpWVRr9YY1xh7t125imhaVJsSEHkeUGgH+TpBEkd7OIPdHFqhsEcCmVyqwG1EoVUllipS3sNvSNIWB3khLc4dOu0o4uLVvrWGYjE0l1uyXHj/3VwV+lpbzmwpCreJx24lHdqflXlEkWs0dSaJAJOSmrzP0VFlDHQQCDW/tVq93lmVRq+ktqxfvJ4ZhHkoF6xOxCC/0dvLWrfu8PTyGLIi8OdTHpd4uAs5GYqJuGCSLZaZSGQYjIdSVqqwgqIiCHRARZQ927RKi4Gg8howkxdCEhhaKgAaIjYBWUJClOKLowzAzVOsPUJQBZKkNm/Yy8oqysCTFsNteRRIjgIgg2FbeT0BSY6jy4P4fsC8IB36lkgWRr7ed4sVw3xcyeHVILjTJzq3sFUp6EUkQKelFEtUFRgp3kIT1v6KgFiGghlt+v8VynlS1uO5jbXYfQZsLuYXW4fVwyTYG3OvvW900SFaLLFZydDkDSHu49BMQeDbYxQvh3l2piIqCyEvhfv586jrz5dy6E6sThSSF+t57ij2tGKZJrlzFa7dtSwTHsizuzyfwOe34PXaeO9vNuZMdpHMl7j1Y4Pb9OcamlllM5FhOFigUq7tWmR0ZT/BXf3MdURJ4/cUhQk14Rn5eqZsGArBYLvDR4jT3M4m1uWlNlonZ3bStqBQf9uBOoKEAu1lr/npYpkWhWEVVZNjmTNx+YhgmxXKt5QqLLEk7bp2XJJHuziCquvW9JbUyA7sR6UyxKVE3myoz0BtuSbhKlqVGNTTsYWxqY49Zw7RYSOTIFSrEDHPdFuVypU4mW6Ja2zpp4HXbdq0Cq2nKSgtl81gWe2pb9nlDU+WW27RN06JcqTWhdHFw1HVjR4Jte0Xc6+bNY/24NI2x5RQem8YbQ330BP1rXq+maaFKEuc64rzc141TUwEBm/YiNu3Fdbdr0y5g0y488fda/RZYJpLUjiJ3YRhLWFYJy9KRpBhOuWftuYrctWahA+By/PqufvYjNuZAA1hJEInZvXyn8wyxXbJPedoIa3E67D1cy3zIcP4WsiizXFukbBSZL09veJF8IfAGgUBrAaxlWRT06hOKz2v7YnPhlnfeem2TFOL2jbPJNVNnppim0+HfOxliwK1oPBvo4rgntivbEwTodAWI2FyMiDIV88njuFjJUTbqa3MJRzxKqVbno9FpvnSiD9s2rH5My+JPPr7Fhd52nu/rQHPLyLJEOOAm/IKbV18YZH4py/XbM1y5PsmD8SXSmSKFYnVHXparjE8l+cnbd3DaVL708rGm1U0/L1iWRc00aHN4CGpOPlqc4uOlz65TkiDglFWeC3fwG32nORuIY5cP/zHyehwtz3mapkW+UMXndfA0NF0ahkmxWGl5+ayqEm7Xzu4LkijQ29VcdS+bK5PNlTFMc92kQjJTJJHMb7kdm02hvzvccmLC6dDoag9sGsBCQ+13fjFLZ9yP2/XkGZBYzjcCli2CQkWW8HnsBHy70yfocmotWzyZlkW+WDlSL24CQRBwObWWFb1N06JQqh7GDt016nXj0LY5dwd8dAd8Gz6uKjLPdMY51xFr3I920BGkKqeo1e9TrV2hWvsUBBFZasemXUDg6fA2/yJwoAGsXVL4RvtJAqprX9VODxNRWxtfinybAddJ5irTlPUCmVqSkBaj0963YQDrV0Mtv5dumetay6xil1XUXZh/kUVx03ZdwzLJ660vpFrluCdGp9O/7Xnex1kNSDucAdzqLJV1WtjKeg3dWjE5PyTxq2Ga1I3PfOtEQVjz/aob5pqaakMEQEQUBOorho2GZSEJAuaKhYosiVirRu7CSpe70FApFQUBwzTRTQttpcWqphtrliOWBUu5Iv/2w+uc64rjc9hQZAlJaDymm4/uiyJJiOLKNg0T07LW/tmMeMRLPOLly68cZ3I2ya8+HOGdD4eZnkuj68aO24vvPJgn4HfS2Rbg5LH4U9c62xCaA6eiYpM+qyTIKzY6dvmzllhZELFLCjap4YdbN00m8in+HzffJVuv8Eb7AL3uxm/MtEwKeo0by/P8YOouNdNAG5J5JnTIrYiEhniPIre66DfJ5ctYpm9v9muXMQyTfKH18QZNlfHsMIAVJZHujkBjnmsLqjWdXKFCqVzD7XzyfVPprSuwkiTidtpoj/lbXse6HBrdHZvbX6wyNZPi1FDbEwG+ZVnMLWWaqr76vHaCAdeOhLIexu91tNzybZomqXQRwzjE0dUhQRDA7ba1nBgxTZNiaeuExkFSq+k78nw+SARWtAh24X4sS1F87v9k5zt1xJ5y4AHst9rP4NxjS5XDjk100Os8TrdzEMuymC6PMeg+zUX/6xu2EMsb/H0z1oKrDVAEaVcSCQIC6iZtyKZlUdH1PW+lORvooN3h2/Xt+hQ7tg1sjyygotepm8auBc475d58gu9/cof5TB7TNDnZEeXvv/48oiDwp5dvcW1yjmK1RlfIx+vH+2j3e/jzK7ep6Qb3F5Y5FguxnC8S9bp47XgvhUqVH90YRpYkUoUynUEPXz09SG84wLXJOT4em+E//+aryJLAH394HadN5WR7lKVsgb+8epd7cwn+q7/6BZos8dsvnOVCbzuz6Sxv3x3j8vgMlmlxrC3Md8+foDvk5/78Mj+6MczI4jIBl535TJ7z3fEtP7csi/R0hmiP+fj2V85w/e4MP/zZLe4MzzU1l7YZ1+/MEA66GOyLPHUzY6IgELY7+fdf+3soorimWH0h3MF/+9pvrVjlNP72cqyH58IdiIKAQ1ZZrhT5p9d/yWQhzf/62S/zYrQbVZI/81C2LKqmzn/yzp/xILvMVCFz6ANYAQGft/UKrG6YLC7nODYQ3aM9211qdYPlVLHlCpCqyDuuwAo0KpvBgIuZ+fSWgV2hWCWdKa0fwGaKWwo4uVaqqNtZyzqdGl0dgaaeOzWbolR+cmTEsmBhMddUABsMuHZ1HCHgdaC2GsAaFsl08emzhjoIBAGPy9ayp6thmGQypUM5Y7pKsVxr6pw94ojDwIGtvGRBJGhz0ekMtGTX8nlEEISVgLTxdYS0GB7ZjyrakLfRZrkRkigibKJqXDN19F24gZmWSXmDNmVotI67FG3PW2x7XEEC2u7LtzlkddM54YqhU7cM1AMeMbcsC9OCf/mrT3lhoIvvPXcSTZZxaAqmZfFgYZkbU/P8+rMniXhdfDQyzY2peUzTQjdM+sIBbIqMicXJ9giiIDCymMRj15hKZvgvf+1L2FWZ7396l7tzS/gcNmq6QalaZ1WpolzXkSUJh6JwtiuGJArcmJrnD157Dp/DRsjtpFitMbywzFw6xz/82ssA/Kv3r3J/fhlBELg/n6BSr/O/+MYrCILA//EvftbUnI4gCMiSgCSqaKrCi8/2cqwvyv2RRX754TDX78yQyW7PKLxYrHJ/ZJGPro7z6gtPl0jDqvS/X3t0LlyRJLyPdWCokvxIIqZm6HyamKXL7Sfu9OBVbY9UoC3Lwo6CJsksV0objiscKgSIhNwtJyIMw2RpOf/UVK3qdYNEKt/SDKymyricWmPOdwesWsy1x308GF9sLoDNluhqfzSQrNV00tkSufzGIk8ALpdGd8f2hMUcNoX2mA9FlrYcO5ieS62bDLNoeMDWmggGQn7nrgawfr8TpcXvSzdN5peyGNuwWfqiIQAupw1FaSh4NPtr0g2TRCp/uAPYUm1bQm/7gQVkSmVuzi1wdz5BrlLlXHuM811thF1ODNOkquuUanXcNq3RwfWUdUcd0RoHtsJ2yCp9rjCaJD91LXh7zcXAl3BIrl33gNXExsJSRGA9N7J8vbIrC86aaWzoMwuNQNqr2vc0fHVIKiHNhUPa/eq+KjbaXjfCsIxDMUtkWha5cpVUsURHwMNQPLxmbZItV5hKpvHYbXSH/LT5PUwlM9yfTzCXySGJAlGvCxOLUq1O1OOkUKmRLVfwO+z4HHa6gj48do2Qy0mlbpAuPtmeaFkWFhaSJOC124j73CiyRGfAS8jdSC7MpXNMJNLcnl3Ef7sRVCXyJXLlCkvZAsVqjYDLwUA0iG5ahDzOlto9V21O3E4bbqcNv9dBZ5ufcyc7eP/KKNfvzLTsJ2taFrMLGd79eISXnu9H3NAQ/fOFRSP+Kdaq1A3jiVlvw7K4k14kUS7iVZ8OOzMBiEe92G1KawtS3WR+MXtoZ8YexlpRTE4kCy31vbhdNgI+57YE19ajI+7D6dBIZzZPHBWKFdKZJ8UGk5kimWxpywSW22mju7O5NuDHkSQRt8tGPOplZj69acAxt5ilWK6ujVisYTVEnray2QEI+ne5Aut34rCriKLQdLBk6CbTs6ld0Qn4IiBLIl63HVWVm65Y6obJcqqAYZrrKlcfBgrFCpXqzrqT9gLTsrgzv8Rbt+/zydQcqWKJmm4gCgKDkeBKAGvxYCnJv/zoKl89PsArAz24tC92d+fnnQMLYG2SQrcrcFjGBA8V7fbuPdmuLIr4VQcuxUau/mQGe6GcI7vO31ulpNeYLm5sMq+KMlGbe08v4GGbG5estTyn0gyiIG5aPbY4HEr5Ag1ja8Ns+FWuzt403JkEVEmmqutrwba+IqEviw2PO1WWkCQRVZbWvAEty8LEoqobK8FpI3uPZaHIjZnVcr2ORUO0IluurKkEQuO46Ctm7qs3cUlszLvaZJm4z4MgQNznpi8SXBMjaQRLjS3ohrkjIQy3y8axgRjhkJtYxEM05OaXHz6gUGxNPTpfrDAyvsTcQoa2qK9lUY+nEZsk82KsiytLM/z11F2WK0VCNheCAIV6jblSjvcXJkjXyrwc66Hfs70gYr9xOTQCPgeaJjddgdB1g4mZ5KFU7Xycak0nlS015Un6MD6PfVeDq464H6dj60VloVgltU6Qu5TINdU14XJqdLdv79wTBAFNlenrCrGwlKVmbhzUFVdanSuVOg77Z5/LshoesNX65ueSIAgE/E6C/t3rFLJrCkG/E7tNaXpUQjdMZuczVKp1TNPatYTF55HVdUso4MJmU5oOYE3Toliqkc2V8bhsuzbzvFvohkEuX97SnuogmEln+fn9UX45PI5TUznbHuOn90bIV6prXYOiKFA3TO4tJJBEkfOdbUcB7OecAwtgVVEmqDk5NEo3XxDaHT7CNte6Aex8OctcKUOhXsWlaNvavmVZZGolbqRn1n1cFSWCmpOwzY24h9992OY6NDOoB4UggFNTGYqFeLCwTLFaQ5EkAi47veEAvZEAH4xMcnVylrGlFJPLadx2jfZAoxqLsP6v0zQt8uUKn0zMIYkCyXyR/miQmNdNuVanpuv86v4EmiyTLJQIOB1rr1UkibDbyYcjUwRdDgajITx2G32RAIu5Al67hiiKmKZJ2O3Ersr4nXYmltO8c28cTZYo1XZu9yAIEPQ7eeF8L7Fww9P1Fx8MU2xBJdI0LTK5MrfuzRENeVqeiXoacSkav9t/jrphcG15jolcGq9qAwEquk66VqZUr/FyrIevdg7S6fYd9C5viSAICAJEwx6cDq2FANZkei5NuVLDNB2HetFfKFZZWMy13L7o8zgIBXc3gHU5tr635ItV0tknK7CLy/lNPWIBVEXC79vZfmuqTH9PmI+ujsMm3RmmZbG0nCdfqKwFsA2/3TrpTGlLQRynQyXgc+Kwb+9++zirwVU84sXtsjUdwFqWRb5QYTGRJxLyYN+hbdIXgVDQhd2mkN3ifHwYwzCZW8wSDXsOXQBbKFYplKroh7CN/ObcAlen5wg47fz2s2foCvh4b3TykefIoojfYaM74OPeQoKqfjhboY/YPQ5shS8JIg55dy7aRzRPvztMh8PHaD7xxGMFvcqd7Dxj+QRn/O3bqpCWjBrjhWVupGfXfdynOhjyRHHu8XfvlDXkL6iy9SqC0PDl/M3nT/GLO+N8PDaDAPRFAvRHgnSHfLzQ38XduSVKtToxr5tzXXFiXjdT/gxum0bQ5aBuGHjtNmRRRJZEJFHAZdO4Ob1AqVYj5nNzsj1C2O1ENwwGoyE+eDCF267S7vfQE/KjyY1RAY9d42tnBrk+OY/TpuJ32gl7nAzFQ+QqVT4YmUIUBCwg4nUx5A5xLB4mkSvy/vAkfpedU+1Rol73I5Xd7aKqMr1dIX7/t14gnStz9eYUpXLzLVTlSp1b9+d4/dLQF0Jc3y4rvBbvwy4pvL84yUg2SapaxsLCKasc84U56Y/yWryXiN31VOkbdMQDeNx2kun1fbIfx7QssrkyiWS+UY05xJZKuXyZ6blUy6/z+xxEQrtncRcJuXG7bEiSsOnscLHUmIF9vNVyqYkA1uO2Ew170HYgrqaqMgO9kabsaBYSObL5MtFw4zgZpkkyU6RSq2+ZDIuGPHg99l1PfrTFfHjcdhaWck2/xgKGxxbp7QoeBbBNEA15Hqm6N4NpWkzNpjgxGGv5tXvN0nL+UFZfAcaX0+SrNd4c6uO7Z09QqtXXxqEeRpUlwi4nV2fmjwTJvgAcYAAr7Ml84hGbM+SJ0ucK8/7SGPV1FIk/SU7S4wzS4wriVmwtBbF10+B+dpFfLA6TWWcGVgCiNg/nA507+QhNYZeUL6w10+MMxcIMxdb3DP762SG+fnboib//5vOnATgWf/R1mWKZTyZmiXhc/P3XL+B+rHLQ5vfwn3310ob74nPY+XuvPPvE3yMeF986d4xvnTv2xGMD0SAD0b1rRZVliWjEy+//1gssLGYZn15uulJVremMTy4/FXOQu4UgCFyMdnEx2rX1k58i+rpD+H0OxqdaeZXFvQeLdLUFDm0Aa1kW6WyJ8S18TR9HFAXCQTfxyO4FsDZNIeh34bRr5Dax9ClXauTyFXTdXLOEsVaqnVtVvPw+B21R3472czWx1RBD2rztejGRI5f/7LPoesMf1mxC3Csa9uBz27d8Xqt0tfvxexxbP/Ex7j1Y4KULfYQCrkM5o3mYaIt6cTbRTfAwpmUxNplY14LvoJmZz+xYnX+vyFeqKKJIu2/za5EoiNhVhUqtfih0SI7YWw5shS8KAtoXvMXzIPCrDk772znuja37+EI5xw9nb/GnU1fXDXA3Yyy/zF/N3ODHc3fWfdwuqxzzRnk1uveqrQ/7Wx5xxFZIosCpoTjPnu3C721+4VevG8wvZQ+1suQRzTHQEybod7ZkvWJZcHt4jnyL89P7TTJdZGTiya6bzQj6nUTDrVeZtiIW9uDb4jdmWY3uhkzus0RopaqTTBe2nOMNeJ20R7072kdJFAj6nAT8DuQtBOMaAexnQbWumywsZZuqAMUijQrsbtPbFSYcdLVc2b1+Z4Z0duc6GF8EujqCLfsjm6bF3ZGFlrp89ovp2RTFQ3oda2iZCFvqDeiGQbpUxr0yinTE55ujCPILhiAInA90Mh4b4n5uYV2Biqlimn89/jH3swt8q+MMzwW7sEvqhgHhbCnDO4vD/HTuLrcyc+gbiF484+/gK/ETaLtoDbQRsngkob4XuO0aLw50cbYzjvOQVpy2w2q14dnTndy8O9t0G6llWZQrNcqVOi7X3oiGHbE/2G0qHTE/AZ+z6e8f4Na9WTLZEmZ74FDOwS4t55mcSVGutLZo7mwPEIt4dr0SFw2vBG3rT5msUa3WSaWLhINuABaXsk0t/P0+B/GYb0f7KAgCoijQ2xliYSlHQd94YZ9I5skVKmvtzrpusLCUa6orIxb24NtGpXQrNFWms81PJORuqY04VygzPLZIV3uA8C7OPn8e8XnsBP1ObDal6YqqZVnMLaRZThfobA/sqM19txmdSJArHM7kRdTjwsJkeGl5w8RQqVZnbDnNlclZTrdFscmH59huhmVZ1A2D+UyBZKFIulihVKtRqevoxuFwtHiYNr+HN070H/RuAEcB7BeSgObkUriP8fwyP5i9+cTjumWwWM7yzuIDHuSXiGhu2hw+ApoTp6wiCSJ106CgV1koZ1ko51goZ0lUCpSM9RcYp31tfL39FGf9HfvUmiRwJBC2+0iiiFNTcX5O1f26O0O4t5FVr1TrWKZ1gD0tR+wUURTo6w7REfe3FMBmco1Ff0ebf1cVe3eLyZkk90cXWlbu7u0M7bgVdz2iYQ++JqqOlWqd5ENWOguJHKUtWhxVRSLodxL07VzVVxAF+rrDXLs9valCeaWqk8k1FJ5dThu6YbKQ2LorQ5ZFIiE3Ltfu60GIokB3R5COmL+lANY0LT69McnxgehRALsFkiQSj/oI+JzMLWSafl29bnJvZJGejiCxyM46BXYD07RIZ4rMLWYO7QzsufY4t+eX+GB8in/27mXOd7ZRN01K9TqzmRypYplrM/O8MzJOzTD47tkTuG2HV2MnVSgxupTi7twS44kU85k8pWqdqq5T1w1008SwGs4Rhyx+5WJfx1EAe8TBoYgS/e4w3+08R65e4b2lkSd8YQ3LIlsvk82WGWYRj2LDIWtrvr2GaVIzdbK1MmWjjrWJccxxb4zvdp7j5cgAXnX326WOOGK3CPgd2LTWL4urlkJHPN0M9kXp6Qpy895s8x6ahsnVW9OcGIwfugC2Wq0zOplgZHyppde5nRp9XSEiIfeu71OjArt11bFS1Uk9FMDOL2UpblGB9fuchAIu1F2obImCQG9XaMvZZsuyyGTLZHLlRgCrmywm8lu2EAf9LjxuO8oeqdH29YTp7Qpy9fbUpoJZj3NvZIHhsSX6u8N49mA+9/NEb2eQWNjdUgALcP3ONM+e6ToUAaxuGNy8N0cmVz60ozD94QBvDPWRr1T5q5t3uTI1S6lW5/rMPMliQ+xtIZfHMC1+/ewJLnS1Y1cOV3hjWRbjiTRXJ2e5O5tgMplhIZtnOV8kX64+NeuHnpD/oHdhjcP1DR+xb7gVG+cCHRiWiU2SuZKcJFsrPxHIAphYZOplMi14xAqAJik8G+jiy/HjvBYdJG4/+Iv1EUdshixJ2+oQUOSjlvXPA5Ggm97OEEG/i0Qy3/Tr7j6YZ3QyQW9XCJfz8GT+J2aSDI8uruupuhn9PWE62/x7opTqcdvwexueu9VNLIsaLcSf7ffCUm7LFuJoyL1rSQRBEOjpDDZ1DNLZEplsifaYH103WExsbVnUHvfhdGh71pEUDrjo6w4TCXmYX8w2/bpMrsy1W9MM9IR59kzXkZjTJvR2hYhHfQi3ZlqydhsZX2JqNkV/d6hlIajdxLIaOg7vXxlt2SN6P3HbNC52d6BIIu+MTDCRTNMT9FHTDeYyOVyaSn84yNm2GF8+3k/A6Tg092PDNMkUK3w6OctHo9N8Mj7LdCpDuUn/4CM25iiA/QLjVmy8FOknpLkI29x8mppiupiiqG9fYEASRNyyRtzhpc8d5je7znPa175tX9kjjthPypV6y4rCkiSiafLRQu9zgKJI9HaFONYfbSmATaaLXL89w0BPmFPH2g7FuVCt1blyfZL7o4stLa4FQeDZM11Ed1F9+GEUWSLgc+D3OFhIbNze+ngFdiGRpVTefJEdCXvWZmZ3iiA0bH+8K1XS+iaerulMkVSmhGmZay3FWwWwnW1+nI69G8WQ5ca5fPpYW0sBLMCte3N0dwTo6QwS9B+uroLDRCTkpj3mw+3SHlGi3opMtszt+3MM9UUY6ovu4R5uTiPZkufa7WnKh1BY6mGCLgdfGuzjXHucW/OLzGXzlGo1JEEk6LTTFw4yEA5gVw6PNkdN15lL53nvwSR/evkWY0tJ6l8gx4K95iiA/YKjiBKn/G1E7G7+3cQn/PXMDYr6o36BsiBi0WiBWK3QigiIQuMfRZRQRRmbpOBT7RzzxHgtNsjL4X4csnZoMmFHHLEViRa98ERRwGlXUVX5UAr4HNE6vV0hzp3q4PL1iU0rhI9z7fY0vV0hejoPtgq7GqtOTKf49OYUsy22N/q9Ds6c6NjTduiAz0Uo4No0gK1W66QyRSzLwjBMEsuFLcVyoqHdDGAFFFmiLeZleHyRzCbqvOlsiXS2SL1ukMmV0PWtF6mdcf+eV9862/2cPdnOe5dHKJWbv65lciU+vTFFV3uAL79yHO1zJNi3m8iyRFd7gJ6OIDfubqFK9hjXbk9zrD9Kd0fwQMScLMsiV6jw/pVRkqkCxiFtH34YWRIJu5284e476F3ZEt0wmE5l+eH1+/wP712jUDm8Fe6nlaMA9guOZVnolsnl5CTvLA4zV8o88rgiSMQdXiygrNeoGHUEodEe7JJtuGSVuN3HoCfMcW+MY54YbQ7fUdB6xFPFaoVqZGLpEeuOrVBWPGSPzvfPD36vg+MDMU4MxLl2e7rp1y2nCly+Nk5PR4BXXhg8wISGha6b/OWPrzM8utjSXJskibz24iDtMR/qHs6QBf1OQluIBFVrekPd2bJYThcplKqbLrIlSSQSchHw7a6qb0dbAI/LtnUAmylRrekspwtNbbc9vjct2g/jcdkZ6otx9kQHH3463tJr740u8MOf36K7I8iJwTiCwKHoLDhs9HeHOTEYbzmAnZlLc+3WNMcHYhzrj+77sTVNi6XlHD/46Y1NuwsOAw93kDwN56BlWSzlivzg6j3+8FefUtGP2oX3gqMA9gtOyajxr8cv8+8nPmGhnEW3PsscB1Qnv9l9nt/sOt9oAbZYm5AVBBBW/iMKArIoIgsSsiAeaf8e8VRiAR9fHWdpufnWUVVpZOAl6Uh++PNEd3uQr7x6vKUAFuDOgwV+9Ms7dLYH6O0K7dHebY5umPz1T2/wyY1JsvnWdAvsmsI3vnSKgH/nKr6bEfQ7CQc2r5TqhkmxXKNcrjEzl6JW33wRGAt78Hudu/5b7Gzz43bZgfSGz8kXKmTzZUrlGqnU1grWNk0hGvJsKRC1G3S1+/nGm6e4cn1ySx/Nh7EsuD+6yP/3X7/LP/yffJmOuB9JOrq7P04s6mWoP0rA7yTVgno5wKc3p4iE3XS3B7DvcTLjcWbm0/zNO3eZW8weOqXbx0mVyuimic9uQ3sK7HGqus5b1+/zF5/cOQpe95CjVdcXmFS1yA9mbvLvxi8z/1jw2uMK8g+GXuXv9F6k3eEnoDoJ2lyEVv4Jai4CmhO/5sCr2nGuKBRLovhUZMiO2Dt0w2RmLs2nN6dIpguHVtnwYXTd5J0PHjA8ttSSybzNpnByKH4UwH7O8LhtnDzWxvPPdLdUSa3VdG7emeVf//nHJJL5fT/3i6UaH1wZ48/eusricq6lhanTqfHmK8doj/tQlb1Rxl0l4HcSCji3THbqdYPlVIGp2TS12uZVoo64D5/Hvuv3n442P+4trG5M06JQrJJYzpPcogIrSSKdbX5sNmVf7pUOu8pgb5RXXxhEllu7TlWqde4+mOf//s9/xt0H81Sqh9NmZZVCscqDsSWuXJ/Yt/eURJGu9gDPnelq+bXZfJmPP53grZ/dwjStlmbVd0IyVeDjqxO8/e69p+L+/MsH4/yffvgL/vsPPnkq1HrfuTfBu8MTLBdaS2gc0RqHP5VxxJ5QMeo8yC3x7yauMF/OPnJRiNk9vB4d4qttJ4nZ90bI44jPL6ZpspjI8advfYpNUxjqi3JiME5PVxDvIbRlqFTrPBhb4k/f+pSl5a3VQ1cRAKdD4/SxNuSjAPZzhSSJxCNefv3rzzA6sbzWytoM2XyZy9cmUGSJ3/31C7RFfSh7HBBCo4318rUJ/uytq8zMpVuqtimKRGdbgO9+/RxO594p465i02R8Xgdut21T8Zu6YZJIFZhuogLbHvfjbcJftlUiATc+jwNZFjedbS2WqswvZbf0EJbEhj2PpkrsR65XFEXCQRe//vVzjEwsMb+YbfrcsKxGUuTm3Vn+u3/zHl959QQXz/cQCrgOTaK6Uq0zPZvi/tgiw6NLJNMFOuJ+Lpzr2Zf3FwRoj/l44dlePvx0nHyheTEn07SYWUjz01/dxeXS+PKrJ5DEvW2TTaWLvPPRA378i9st+V0fJFOpDNPpDCdi4YPelS1JF0u8NzzB/flEy3PFkijgc9jx2G3YFRlVkVAliX25UDTJsfjBdBatx1EA+wUlUcnz0fI497OLT2S0Btxh3owdOwpeDyGN1u3NsOCAc5SWBeVqnXsjC2SyZe4+WOD6nRm6OwJ0tQfo7giuKDfaDrRyaVkW2VyZG3dn+Zt37nDn/hy1evOzQE6HtmKj4D0ScPoc4rCrnDvZwZdeGuKn79wl1+TC1LIsUpkSv3h/GMuyeP3SECeG4nhc9j1Zh6x2PHz06TjvfDTM7ftzLW8jEnTzxsvHGOiJ7Mu5LIoiHredSNC9aQCr6wbLyQJTsylqW9hOdMT9+Ly7O/8KjS6LcNCF22UjvYkdUbFUY26xiQBWEuntCu3pjPHj2DSFE0Nxvvnmaf78raskUs3N6a5Srel8cmOSYqnGzHyaZ890Mdgb2ZPjvRV13SCfrzC/lGVuIcP0XJrp+TRTM0nmFrMIgrDvokgup8ZQf5QL57r5xfv3W+p8qFZ1RiYSfP9H1zAMk0vP9eH12BHF3b83Ts+leO/yKG+/d5+RicRTUc2ERkuuJstE3Ft3bRw016fmuTefILeFYjo0vKZdNpW+SIC+cICwx0nA6cBlU9FkGUWSDl1yPOja/9/8RhwFsF9Q5kpZrixPPuH7KgoCHQ4/J3zxA9qzIzZDFkQkYeMLmmGZj7SCHzR13WBmPs3MfJqPr8nEIh6O9UXp7QrRFvMRDrjw+5z4PHacDnVPbtqPY1kWuXyZ2cUsd4bneP/jUa7cmGq5fSsccnPxfO++zLEdsf+IooDLpfFrXz3D7Hyam/fmmm4vtyyLfLHCD99uVDleWspx8lictqhv1xSKTdMikcozMZXk8vUJPrgyxtRsausXPobXY+eZ041AfT8TSh63jXjUy8hEYsPn1OsGswsZZubT1DdJLmlq49qyV+rP0bCXoM+5aQCbK1SYmUs3H8DuY5AlCAI2TeHrXzrFxHSSjz4db2k+GhqJybsP5plbSDM2meDZM13090Roi3oJBlyoyvY8tDd/T4tKVSdfKJPNV8jmyqTSBeaXckzOJJmYXmZ6Lk3lIbVwt8u2q/vQDIIgEA64+eprJ7hxZ4Z0dmsbpYepVOvcebBAsVQjX6hw7lTnis3Szs9nwzDJFSqMTy3z8dUJfvXxA6Zn0/vWrrwbOFQVmyKjm4dnbfM4lmVhAe8OTzKf2VpHw2PT6I0EONsZ42xXnJPtEaIeF5oityQKaVom6do0ufoiIa0Xt7K9KrVlmSRrU1SNPEGtB5v0qEaBaRmka7MsVW5zJ3MDBJEOxxmcchBJOJhQ8iiA/YKSrZeZKCw/8XdFkHDIGg5pfwUFjmgOVZJRxY1/thVDp6wfzjmlWk1naibF1ExjkR0MuOjvDjHQG6G3M0Rb1IvLqWHTFGw2BZsmoyoykrSzuWrTtNB1g3KlTrFUJVeoMDqxxEdXJ7h2e3rTRelG2DSF3s4QF852b3u/jjj8yJLEYG+Ub7xxmkKpxvDY4qaB1OMYhskHn4zxYHyJ55/p4YXzvfR2BfG47TgdGpra8A9u5vRetZMpV+rkixXSmRLXbk/z7scjPBhfasnyZxVNkzl9vJ03XzlBPOJt+fU7weOyb/me5UqNO8PzJJKFTdtewyE3Pq9jz6qasbCnIWy1SbCdzhQZsyzS2c2vJ6oi09Ue2PM548cRRYFIyM23v3KGYqnKpzenWrIMWyWbr/D+lTGu3Z6htyvE8+e6OTEYJxhw4rBr2G0KqiqjyhKyLK4lRR6+hq8u9k3DxDAb53VdN9B1g3rdoFY3qNZ0qtU6yXSRmbk0U3MpJmeSzMxnyOZaC773A6dD48yJDi49188vPrhPodiabYphmIxNLfOHf/IBr0wmeOlCP71dIbyexrVCkZs/X3TdpFKtUyhWSGWKDI8t8dNf3WN4dGHT79ymyZimRV03DpWwU2/Qz8jSMtOpLMVqDad2+NanFlCoVLk9s0imtPn56Xfaea6nnW8/c4zXj/eh7eC6ZVkGE4UrPMj/iovBv73tANbEYKJwmURllAvB33kigLUwSVYnuJ35ESUjS7o6zbfa/1d0OV1I0lEAe8Q+UjN0CvqTF1jDMinpNUp6DadycF6GR6yPKspokoIsiOtWWrO1MulaCcuyDs2M0kYkU4U1MQlBaLRh9XSG6OkI0tURoKvNTzTixe2yocgSothQvF5d8K9+vtVPuepVbAGWaWFaFqZpUa3qJNMFxiYT3Hkwz407sywsZVtqF34YQYCeziAvPNtDLHLUZv9F4M1XjpNI5ikUq0zPppqeh11lOVXghz+/xTsfDtPfHeaFZ3s5dayd9pgPTWskaRq+2oAgIPDZ+bx6Huu6QTbfSL5cuznNh1fHSaaLGC3Muj6MKAr0d4d586VjPL9P84IP43HbiEU3D2CLpRqXr01sua3eziDOPVRxjUU8BH2bKzMn08Wmqq8et41w0IXcQkCymzx7pot8oUKlWuf67ZmWZqUfplSucfv+HLfvzyEIDf/k3s4QPZ1B2qI+ggEXfq8dl9OGKApPXKf1lWRMsVilUKqSzpRIZhr3hMRyntnFRotwpVJ/KlpdBQHcTo0/+N0XGZtK8GB8qaVk1yr5QpUf/vw2718Z4/SxNl660M/JoThBf0NhWxTFJyyNHr5OmIZJNt+ouF6/M83VW9OMTT5ZrHgcURQY7I1SrtSYmktv2bK/n1zobmc8meb6zDyfTs9xrj22ds3caJWjyq1VMneKYZrcnUuQLpY3nX3VZImvnBrgd144w8n26L7t35ZYoAg2bJIbSXiyq0wSFIY8r9HreoH58h3+fOofH8BOPspRAPsFRRYl7JJC1Xz0IqVbJncyc/xi8T7f7jh7QHt3xGbYJRmXrJGpP5nlS1TyzJUy1EwdTXp6Wlstq3HjvnVvdmVB1AhSRVHAadcIBV2EAi48Lhtejx2HXUNVJBRZQpJELAsMo5G1L5Vr5PJl0tkyiWSeRDJPsVRbu8lbprWjBZHToXHhXDevvji4a5//iMONIMB3vnaWak3nL358jWQTVinrUSzVuHlvltvD84iCgNttoy3qJR7xEvA5cbk0NEVGlqW1ClQmV2ZpOc/8YobF5Ty1mr62WN0JkaCbb3/57IGdxx6XjVjYgyCw42pPX1cIxy60W25ENOQh4HetJRa2i02T6e4IHnhy8ZWLA41rZanG3ZGFHW/PsmB8apmJ6WTj2s1KgLWi2SBLEooiYgGGYaEbxmfnrwXWikffanC7+rfDVAVshkaV28Nv/9pz/OGffMDEdHLb28rmynxwZYyPPh1HVWXiEQ/tcT+xiBe3U0PTFERBoK7rK57J5Ua1ej7NcrJAuVprSdm4Lerj937zItPzaf7sravML2a3ve+7jddu4/XBXgrVGv/bv/obXu7vYSAcwOewI28wdvT6YC9u2/4VYQzD5N7cEpUtxOZePdbLd589wfG2yD7tWXOIgswZ/7ewsBDZOLm2Yp65j3u2MUcB7BcUp6wStrnXDYLu5xb5/wz/imvpGV4K99PjDBLUXNjlRuXvoG++X3SCNjftTj+ZzJPfXd0yGCskuJKc5OXIwAHs3c6wrFXT8s9uuvV6uVH5mksjiQKiKDYy+msLpZVnWw9log0LwzTRdRPdMHdt3keSBN54+RhvvnJ8Tys+RxwuBEHAYdf45punkSSRP3vrKsstCuGs0ki2mBhAJluiUKwwNrmMLD10XgtgWp+1DX/WYrk7M2CxiIe/99sv8vKFfjRNPhCRS0kScbtsREIeFhO5HW2rpyu0p79HVZUJ+J34vI4tW4Q3Q9MUejoC+1oZWg9RFLl0oQ9Fkfjzt65y9VZrfsfrsd61e5Va3UCofva8zyura6NLF/qYXczwo7dvMzO3sX/wVqzey/RyjanZFHOLWWRZQlq5TsBnQf/D1wnDMFs6zjZN5vd+8yInh+JUqnUCXsehCmD/xQef8OfX7pCvVMlXqvz4zgPeXj0OG9RgT7dF9zeAtSzGEimqm/i+umwa3zx3jGPx8IFfAx6nsZ46mK6Q7XIUwH5BidjcnA108CC/9MRjVVNnspAkUyvzaXIKl6yhiSserxteLhpIgogmydgkBbusErW5aXP46HYG6XD48aj7L7DweSNic9HlDHA7s77a6HBukb+euUmPK0Sb3fvUJxwsqzGTU9e31/K7W4iCwJdfPcFXXztJZ5t/XwSnjjg8iKJAKODijZePIYoCf/bWVZaWtxbr2AzTtKjVDGrsz7ktigLRsJv/4G9d4sVne/F57Qe2kGokBVQ62/w7CmAbFkB+7La96zgRRYGgz0Ek5N5RAGvTZLo7gwgHrFouCOByaDx7pgtVkXDYVd67PLqn7/l5Dlwfx+nQ+OprJymVavzNr+6S2OF1AqCum9R1E9hdjQuXU+N3vvMcF85143Hb8fscjXnvQ0R3wMdLfa357DrU/e1AM02LhUyB+iYt+S8PddMfCexg3ywWysNMFj8hWZ1EFESCWjd1s8ojSX+zQqY2y3jxMunqDHWzjCJqhLQ+Op3nidj6H9nqB4l/yXJ1HMMyCGu9HPd+maDWuq9xzSyzUL7HrcyPeDH0e3iVOJLY+KxVo8Rc6VZjVjf0d/AoEcQdij8dBbC7hGlZ6KZBzdSpmQbL1QIVY+MLTVmvk66WSFaLqKKEKkooovxZ680eE7d7eSncxwdLo8yVn8y06ZZJslogWW2tyiAiIIsSyspn8ig2fKqDoNYIuk54Y5zytdHrPjxeUk8bbXYfQ54ofzN3Z8M52I8S4zhlla+3neKEN45DVptaqFqWRd00KBk1VLGRiDhsmcKDQFEkvnRpiG+9eYahvsiR8vAXlFV/2DdePoaiSLz1s1tMTie3PUe4n9htCoO9Eb755mleer4f3x5ZdbSCw6bS2RbgyvXJbb1elkTaol48bvueKygH/S5iYQ/3Rxe3vQ2bptDTEeQwuG4JgoDXbeeZU51oqkzA5+Tdj0fI5sotz3gf8STxiIcvv3ocwzT5xfv3WUzsPIjdbYJ+J199/SRfff0kwYALSRLxeR34t5j33m8udLXTHwq29BqvfX+LJaZlsZwvbnoveKGvk6DLse01fqo6w3DuHdK1adxKBJvkpqznWKgMUzUeTqxZ1MwyhfoyTjmAKMjUjAIzpZvUzDJ2yfOI2FPY1o8muhgvfsx8+S49rovb2r9G67FAojLKROETTnjfxC42dA4KeoKZ0nWS1QlU0QG70IZ8FMBuwUI5R6KSp6TX0C2Dutn4RzdN6tbq/278u/ZQAJusFpgqbmxpMFlM8uO5O9zKzK0Fr+pK4CeLEoogrv1vWZBQxM/+f9TmJqS5scvbX0S7FRtn/R38eucz/OXMdRbLuV2xXzGxVo6BThFI10pMrhwHl6zR6wpyPtjFS+F+zgc6ccjaUYDUIgHNyTFPlB5XiJF1KugWsFTJ8dfTN0hU8pzxdxC3e/EoNmySgiSIjdYkzM/OW0OnYuhUjBolo4ZhWbwY6mXQE0U7IIW5w4AkiQR8Di6e7+XbXz7DQG8Yu+2odfiLjCSJxMJevv76Kew2lbffvcfdkYWWVUf3CwHw+xycOdHOGy8d45WLg6jq7luebAe7XaGz3b/t18uyxEBPBE35/7P332Fy3el9J/o5+VQOXV2dc6PRaGQQIAmCmRwOOaMJmpE0VrQlex3WXj/3Oq3DXa/v+u7z2L7y+trrIMuSLFlhNJqcyCGHORM5o9E556quHE68f1SjgUZ3IzYSpz/zcABUnTrnV+Gc8/v+3vf9vvIdfz/RiI+a6ls3bRNFAZ9Xo67m/sqK8Xk1dm9vIhr2EQl5+fj4EGOTi5TK96eb/YOCIAh0tlYj0IMkirz94UWm7pO0XFEUqK0OcujhTr7wmV3U14SWF7MiQS/R+0zA1gQD1AQD19/wHuLikimVsddp9aPKElvrqm/LQXmicJpEeYSo1sz20Auoko9keYzx/Ekc93LqsigoBJQ4bf6HiaiNKKKHgpXiRPI7LJSHWTQmVwjYzsAhbNekaKeZLl645fHJokpIqaHO08Nw7mNa/fuX3IwF0sY0SWOMWk83Xjl8y8dYcbwN2cunmDOLk7w3189cMUPJNiuTfMekbFuU7Mt/Go7NzVjDjOQSjORWF/hXXGZl9CW3WV264s+lx56q6eLxeCce+dbbHgiCQI0e5Bda9pEyC7w+dYFEOb+qL+xGkrPKnElNMZCd53xqmq+17efRWDth1YN4jd6mm6xEESXa/DGeqe1iopCkZK+uuXCBrFXm9ele3pnpp84boloP4Jc1FFHCdh1sx6ZoWxRtk4JVJmuWyVklSrZJSPUQ0/y0+mM3LWAFQJbFB35hwuetRIf27WziK5/bR1XUf981Fd/k3iCKAsGAh88/t5OqiI833uvl3MUp5hPZW3a3vhPomkJtPMjeHU08c2gre3fcfFrYncSjV1KIbxVFkejqqEG5Cy1pImEv8eogoijckoGWrirEIn78vvuvjEaRJdpbqqmuChCvDvDxsWH6h+dILOY2rO76bnCprjoW9d/roQCVWuPOtjgeXUVVZd75qO+6PY3vNKoi0VgX4fGHO3nx2e001UdXPO/360RCXmRZwrrHZTsPEq4LZdNa029DFASCHo3qoA9VvnXZNVvqQxJVGrw7iOltAHilEHFPF7PFi5ePh4guBQgpteStJJZj4FI5j23XpGil1ti7wEaYIehSkDb/w7w183+TMibxKzFc12HRmKBoZ9kR/vxtH+MSmwL2Ogxm53l/doDZ0u2ZTNwol6KX10o2qdYC7Io0UMetCVjHdSnbJlmzRMoo0BOq42RynIxZWuVKfCco2ibHE2NMFlL8o+0v8Eh1O0FFv69Wpe936rwhnq/r4WhijLOLk5ju+jca07UZyyevmRGwkQiiQCTko7E+imU75PJlDMN6IFohAGiqTCCg091ZywtPbuOJR7bcdi/aTT59XGpl8dj+Djpbq/npOxd495N+xqcWyRfKt+0SfDvIkojfp9HRWs3zT2zj0IFOImHvPRvPeuiaQm11CE1TKN9CxE+RJba23x0B6/dqxKI+fF6VbO7mo+1+v0Z97d3ttXuzBPw6X/rsHnZ2N/D2R318cHiAmbkM+UL5mq1B7iWCULlme3SVWNTP9q31PPpQ+70e1jKCINBYH+FrX9xPc0OUb/3oGBNL14i7/Zn6fRotjVFefHoHzz6+lWDAs2obRZYI+HXCQc8tG9XdKRzXxbRtioaJaTs4rosggCSKaLKELiv3dJHZctYOAUmiQMzvXTLfuvX9l6wMsqiiS1dmgggE5BgLwtDyI4ZTZL40QH/2A9LGNGUnh4NN3kwQUOI4d9BzQRW91Hu341WiTBbPEtEaMewCyfI4uhigwbt9w461KWB/xnBcl7xV5uziFD+cOM2bMxfImnc/9c3BZbqY5j/0vsU/VjQOVrcjXdMeapMrUUSJzmA1/2jHC/yDo9/asBTwjUCRJbZ21PDP/97P8c5Hfbzx/gUGhucolsxKn9b7cx6EKApIksiO7gZeenY7j+xtIxy6/yb9m9x/xGNBfvnnH+bA3lZee/s8b37QS2Ixf9stm24WQahEoeprwrz07A6ePbSVuprwPXEZvhFEUcCjKzTUhhmbuPlaYlWV6GyPo94FASsIAgG/h/qaCBdzN996xu/TaKgNb/zA7gDtLdU0N0R5+mAXr71znjfe7yWRzG+oo/vtIgoCgiigawrbt9ZxaH8HB/a00tQQvf6L7wF+n8Zzj3ezvauOb/zgKB8cHmQ+mb0rC13i0uf03OPdfOGFXXS2xq9ZMx7wacRjgftGwF5yWs6XDYYTi3w8PMb4Ypp82USWRKr9XrbVxtnbVE9t0F/J/rpGj9g7hSyIa7baEgWBgEffgKy01e9JQEAUVpaEzJb6OJr4C0ynxKHq3ySmt6GKXo4lvsVMqfc2x3CdEQoCqqizJfA4Y/kTtPgeImvOU7BTxD2dSynFG8OmgP0Z41xqiu+NneTt2T5SRoHyOkZTIgK6pOBVVLySek33YRcXy63UU5Ysk7xtYN+gmBrLJ3lvpp8aPciW4P3VF+t+RxNltgZr+P/u/wX+S+87nEiOkbPunzq8cFDnxWd6ePLRTsYmkxw/M86Js2NcHJi9r+qrJEkkFvHx6P52Hn+4k7amGKGg565Mijf59CAI0NYc4zd+6SAvPN3D+4cHeOfDPsbvUsqg36fR3VnL04918fDeNoJ+/YEwG1MUiY6WaqZmUjclYLWl3ph+n3bXsiOCfp2m+jAXB29ewAZ8Og11t54ufbeRJJHmhii/9tVH+NJn93Dk1AjvHx7gfN806czqFm53C1kWiUUqkdadPY3s7mkgGvbh0RQU9f6e0goC1FQH+Wu/8jhPHezinY/6+PDIIDO32UZq/eMJBAM6B/a08vnndtDeXE0goCNex0XM79OJxwKc75u+I+O6FU5PzvDNY2d4u3+YsmVhO0utgoSKQFQkicZwkC/t3sYvH9iDfJdX7QQBdFVGLAjYVy/yLI3vdiW1Vw6TtxIUrkgBdnFIGzNYjrH8WN5aJG8m2Rn5HDWerciCgoND0c5Qtu/8ooQkqHQFnqYv/S5zpUGS5TEc16bes2NDj3N/n+2bbChvT1/kO2MnOJEcI2UUV9W7Vmt+dkUb2R1ppMVfRVT1IYsiIsI1JwiXVsdc3KX0ZIuMWWS6mGYgM8fRxChTxTSms3oSZ7sO7831sz1ST2egejNN8yaorHRVROz/s+c5Ppwf4t3Zfi6kpslapdvatySIeCTltiI3oiji0VV0TcHn0Wioi/D0wS7SuSIjYwnGJpNMTC8yOb3IQjJHqXzn09cr4xKoivhoro/S0VrNlvYamhuihIMewiEvuibfc3fWTR48BEFAkSVkn4inKUYk5OXxA52MTCQ42ztJ78AME1OLZDfI7EkUBKpjAdqbY/R01dHVUUNdPEQk5CUY0Jf6yd7/19NK/WUVHx8bpHQTH43Ho9LaFKtE4u6WgA3oNN5iza7fp1H/gERgofJ7lmUJnyTi9Wg8+egWdm1rYCGZY3hsgd6BGQaG55maS1Mq3bkFyYBfpy4eoqkhQktjlOaGKHXxMH6fRsCv4/dpyA9IiYcgCEiSQMCvs21LHXXxIE8+uoW+oTlOnBmjd3Cm4gJ9m1HZcMhDW1OMndsa2L29kbp4iFjUj6Yq1xWvAAF/JQJ7v3B+epbvnzrP+4OjhDw6j7Y1URsMENBUHNclWSjSOzvP+ek5/uLYGcIeD890td/VPrACAn5dRRQFbPuq7891Mayb88lZiwbvds6nX2ckdxifHMUrh5gvDTFdPI/tXj4HZUFBEEQWjXEMp0DJtRjJH2W6eB7WEdGu61T+Y+1ezsvb4eJgL23lrLmtgEhQiRP3bGGycJqMOUudZxs1ns7bev9Xc8cEbFDReaKmk6i2tptZQNHpCtbc90mjz9R20eavoniNljh3m1Z/FbWeG6+lsV2H08kJvj12nKOJUTLmSnEjAE/UbOGpmi62hWqp8QQJqR50SbmlFSPHdSjbFjmrTDKW51C8k1cmz3J4YYS0uXrldqqYZji3wKJRWPf3snK8AhHNy9/d9uyq93KJFn8VsRvY161wINZCleZb99i7o414pLsT+RCESqR8SzBOSPWwPVzPcG6eoewCk4UU08U0KaNA0TIpOxamU6lFlQURRZTxySp+WSOkeoiqPqp0P3E9QKM3zM5IA5p4+5cIQRDQdQVdV6iO+nFcl7bGKtLZIplsiUyuRDZXIpMtkkoXSWUK5PJl8oUy+aJBsWRSKpsYhoVh2pimhe24OI5bSdF0XRAEJFFAlARkSULXZHRNwaMr+HwaoYCHUMBDJOyjuipAJOQhHPRWet6FfcvGKvf7HGj/7lb+yd996aZe09oYvW9MTa6mpTHKL31hP08/tvWGX+PVFbo6au7gqG4PQRBQFInqqgDVVQHqa8NsaYuzkMyRWMwzn8gyPZsmkcqTzhRIZ0rki5U6cdO0l9M0FVlCliWUpT6dQb9OMKATDnqJRf3UxUNEIz6iYR+xKj/RsBftLvc+XIuZ0hjjhQEWytOU7AKO66JLHoJKhHpPG3V6C1758u9R1xWeeGQLSqhEX+osc6UJinYBSZAIKVU0ejto83UjCTIIAo5rM5Q7z0DpOIHm9SeoGXOR9xdepmTneSL2c1RptctmgYZTZr48xWDuHIvGHKZjook6Ma2WJu8W6j2tq4wFE+VZ+u3j2B2j/P2//TR5O0df9iQL5SnKThlV1KjVm9kWeAifstKtuGBlcQJJTpR/QnEijePaeKUAdZ5mWrxdRNT4fSvAKgshEA56CQe9NNRFaGuOsaunkWSqQDpTZCGZY24hw2K6QCZbJJsrk8uXKZQMLNPGtB0sy8Z13UrKoyQgiSKKIqFrCrqm4PUo+H06Ab9O0K8v9yMNBTxLv30PoWDl716Pet9+XjeKR1fw6GFi0QDNDVF2bK1nYTHH7HyGqZk084ksi+nK55srlDAMG9O0sW0HUaoslimKjEdXCAU8RMNeohE/DbUhauPBiiFXrHINUpWbu4/Hon5eeKqHjtZrZ8UJVCL1NdV3VuyemZzh9OQMrVURfvnAbjpiUfyaiiZLuC4UTZO5bJ4joxN849hpfnSml/0tDXdVwIqCQDzoZzyRXtUL1nZdUoXbb0/V4N1F1lpgsnCWI4lvoEk+vFKIRt8uZq4wcYpqTbT5DzBZPMc7s7+DLKgVUye1bsWc3nFtRvNHmcifIW8vMl8aoGClOLzwdfxKNT45zJ7Il/DKEWaLfYzlT5A0xshZSVwcTi3+gMHsRwSUalr9B2j07gSWFmoEhVbffk4ufh8BgSqtFU3c2N/Jbc9ObadAsvgOJXMUQVCIeB7Hp3bhkVW2BGvYElw90XBck6I5wkLhfzBWdglqewmoO5GltUVZ2ZqiYA5RtqawnDSOayEKKooUxiO34VU6kMTgtaOEroPlZChZE5StCQx7Adst4LoWgiAhCV4UKYZHbsardiFQseXfGqpla6h21f4KxiDp8hFwbfzaLgLaDhzXoGAOUjAGMJ0kjlNCEGRkMYAm1+FTe1DEKMIajruVCKZF3uijZI1i2glsN4/rOkvj8yCLYTS5Fl1WUKQbS290XIe0UeRbY8c5lhhbJbpUUWJ/VSu/1LKffVXNBFX9ttMcREHEI6t4ZJVqPUB7oOJkW7AMPphf3SzddGwm8ymmCukbE7CCgE/WeLau+7bGeau0+mO0+u+vPraiIFLrCVHjCbI9XMdsMct8Kct8OUvWLFG2K+2dLKeyciYJIooo4pFUPLKCX9YJqTphxUtU8xJWvUjCxq9qVy5sApGwb0WvOdt2KJZNstkS2XyJ4pJwLZZMyoZJ2bAxLbsyGbJsHLciXp2lGkOBSmT1Uh2rqshoqoymVcw9/D6NgE8jGKgI1/uljcjN0tpURWvTzfXDu5+pivipityf4nqj8Ps0/D6NtuYYlmWTzZdZSOYqE9N8iVy+TLFkLonXygTVdSupkpIkIsuVBRmfV8Pv1Qj4NcIhH1URH6oq3zdu367rMlkc4vjiu0yXKiljsiBjuza2a2O6BkW7QFipWiFgBdFBrcrh2TZCvJSgylUQieC4Dg4F/PIY9aF6tgX34ZH9OK7DmVQeY/YwBbGPnJXGJwcQhcv3RNMxmC9PcjT5JkE5ill1ObRbsHKMFfo5mXqfhfI0kiAjIGC5FuPFASaLw+wIPcLW4J7K+Jbuh3krw7Q5QD40xs6eJziXPku7adLoBLEck7JTot4j8mJtDwElvHy8lJGgLztLb/YCc8VFZEFeGuMo48V+5kqTbA8doMHbftv33ruBIkvL563rVnw1crkSyVSeTLZIrlCmUDAoFA1KhoVlOdi2jW1fWmysTPYlSUSWRFS1cq3WNQWPR8XnVfF5NYJ+nVDQg6be+RZJ95IrF7sAsrkSC8nc8mJALl+mUDQq9z/LwXYcxKXouCKLqKqyfG8LBT1UV/kJ+HUU+dZLYHxeja0dtWztWD33vRdMprKYtsOBlgae7WpHXeO91YeD+DSVE+NTnJmapXyXnZ5FUaAhEuT02AywMuDlOJUescbS3OVWr9l+JUaH/yB+OUbWnEMUJEJKPUElTo3eRVhtACCo1NIVfBqfHKNkV4yfqrRWJEHFcS188qU6cQFV9OGTo8iiSlCJLz8uChK6FEBYuq7KooZXDmO7BgElTp2n+9KW6FIARVjtrh5RGxEQCal1VOvtG95t5LYFrOMa5I3zTGX/FJbElibXI19DaVt2ilTxA8ZS/x6A9ug/w6esXIGvCDqTXPkcqdJHZMrHKZiDmPYCrmsiCjqqHMev9hDWHyOkP4wmNyIKa70ll6I5RKr0MTnjLAVjgLI9heVkcFwTUZCRxAC6VI9P7SHieYKwfhBJ9K8pNgEK5iDT2T/DcQrUBX8dXW4kWz5BovAGGeMUhjWD4xQqAlaKElB30hT+Wyji6vQj17UxnRTp4scslj4kb1ygbE1hOxkcbERBQRJ8qHI1utyyNL5DeJSm634/JdvibGqS92b7yVwV/ZQEkbge5FfaH+aRWBte+c70t1REmYeqWjifmuZ4cpyibazaZqGcY66UAervyBh+VhCoiPv2gEZ74P4S2ddCkkT8SxP0W3XX3mST+x1ZloiEvEQ+heZgLi5n0p9wLn2EOk8Lnf6dBJQwjmuTszLMlycJKJFKJHUJx3XIW1kOJ97gQvY4Ld4tNHo78cshTKfMdGmUC5ljpM0EYTVGk7cTVdSo0uLUe1oZyJ1hrNDPlsBO1CsEbMHOMlEYomgXeCjyND4piCiI2K7NbGmCY4vvMF4YoCe4n1q9CVXUyVlpRvK9DOXPU7Bz1OrNBJXIKvGUs9KcSn1I2ligyddFRIkhCAJpM4kuefBIVyzMORaDubOcTH2A4ZTY4t9Ftd6AhETSnKM3c5yzmU9AgLBajV++9T6z9wJBAEkQCAUr4mmT2yfgr0Sh2+71QO4jbNfBp6nUBgNrileoLIr4VIX6cJATE9O3na57s0iiSEe8Ck2R4KpEQ8d1yRTLLGTz1AT9aDcZEb+EgEBUayaqrW6HVuPpWv67IupU6+1U69d24xYFkQbvDhq8169NrdJaqNJabmq8RTuNIAjEtFai6sa3cLttASuJXmLeF5nPv0zJGidnnCNo7iOg7Vr3NSV7kkz5CCAgC0GC2kPIUnjFNi5l8kYfY+n/TKZ0BAQRRQzjkVtAEHFdE8vJspD/CenSUWoDv0jc92V0pXnNVcx0+SiTmT/AsOeRxSCSGECRqhAQcV0by82SNwfIGedJlT6ks+pfEtT2IAnXjgjabgHDmiFdOspE5ncpmaNIYgBVqgapIvAdt0jZmkZkbYFoOTnSpY8ZWvw/Me0UihRGkcKociXF2nEtXNfAsBMUzREERLxKxw0J2KxZ4ieT58mZ5VWns1dW2RVp4FC8A0W8s4Y1AUWn3hsmrgcYza/uf5u3yveVAdEmm2zys8ElV9V8vkw+V6ZYNDANazkSKokCkiyhqBIej4rXq6J71BUunslEjsVkHkkSiFb58Xo1Uqk8qcUCtu2gqjLhiI9AUEeSRCzLZmE+Ry5bXH4+FPYSCnmRH1DzMBeX6eIIlmuyLbiPfZGnUMTKPa+yIO1guw7SFULTcgxmyxMcTr7BlsAuno5/mVq9eVk0powFLNfiaPItBnPniCjVRLU4YSVGi28rF7MnOJc5QrN3C4qoISDgui4Zc5Gh/HlUUaMrsBt9SVQW7Twj+V5G8r1sDx7gc3W/WonALh2vztPMu/M/YrzQz1DuHDvDjyAKK9MQC3aWkXwvX238G9R7Wi+/x6U77JXzj4yV4kLmOAUry8NVz/Jo1WdXRCF8UoAPE68ykr9Im6+HrsD686ZNNvlZJebz4VMVMqUStuMgreFR4bguBcNkIVegJRpGvcEsxY1CFgW2N9bgVVUgv+b4LkzN0VwVvmUBe79z6TrvuBaWazCaP44ieqjS2vDK4Q0/3m1/iqKg4te241W2YNoLZMtnyGnn8as71kmVtSmZ42TKJxAFlZD+MKoURxSUK7ZxKFnTjKb+f6SKHyGKGhHPk1R5nsWn9iCLXgxrjnT5CNO5b1A2J5jNfgtR0KgP/iaScHXeu4BHbiWkP0zZmibsOYhf3Y1HbkAUdEwnQ6Z8lPn8j0mXDlOyxpnNfQtNrsMrXnsFw3LypEqfkDf7Maw5qn1fIKQ/gibX4uJg2LPkjX5c18CrtrNWAXXZmmAq8z8w7DkUsZpa/9eIeJ5Ak+sAEdNepGxPky2fIF06QsRzCK/Scd3vxnVdclaZwwvDaxooRVQvT9ZsqaSK3oXUpYCiE9W8awrYsm1Ruo/qjDfZZJNPP67rYlkO+VyJU8dHOXNyjP6+GWanU+TzZSzLwefTCAQ81NQF6dhSw849LWzb3kDoir6q773Vyw+/ewyfX+OLX91Pz/YGXvnhSd786Vly2RL1jRGee2EnTzzdTTjqY2pikW99/WOOHxkmnytRWxfmiWe38exntlPXsDrq9yAgAEElymRxmNnSBPPlSaJqDbKgLKXpiqsWSvN2lqHcOUzXoM23DVEQyVnp5ect16TB08Zx3mW6OEI+mCFKHL8col5vQZe8XMyc5Jn4l/G5lTIiB4eUkWCyMEREqabe04YqVeYEC+UppkojqKJGm6+bgp1bce9TRJ2YWsdIvpfRQh89of1cXVXskXxs8e+k0du+Ipq81j10rNDHojFLWI0R0+rJWyvdZkNqjIAcZtGYY7Y0vilgN9lkDXbUx7k4N8+56TmmM1miXg+iICII4LpLLXYMg4H5BBdn5/ny7h5UWaJsrTSGFBDWjeDeLpIo0l1XTdTnYSKZxnJWO6ofGZrg4fYmqvzeB/Iafz0cbEp2how5w6IxxWj+KB2Bx6jWr69XboUNWwao8j1P0RykZA5TMPqwnAzKVVFVAMOeo2D2L0VCw8R8LyCJK6Ocpp0kXfyQxeIHgE2d/69S4/95dKUFgYooVqUafFoPqlzLeOq/UDD7SZeOEtT2EdIfXnXcoL4Hv9azVNsqIyBxSUwqUgyP0owuN2FYcxStQdKlo1jO9a3NHTdP3jiHT91OZ+z/IKw/Cly2y3bZQdTzzNLWa/9gLSdHzrgAQNz/BeL+L6HLTcvbq1IMH51EPIeWanYVhBv46kzHZrFcYKaYXjOZwiurbA3W3rW6m4px0NoXD8d1b7vAfZNNNtnkZjDKFn290/z+77zFyNAc5ZKJ4yxdi5YuR+lUgUy6wNRkklPHRxkZWsDr09i1Z3VKVC5TovfsJGMj83zzzz7Gtm1cFwb6Zkku5Cjkyxx8vIv//t/e5tjhIZylKO/w0DwLiRypxQJ/4395DuUBXKEXEHm46llmS+N8kniDi9lTdPp30BPcT7u/B1lYbTBVdorMl6cA+MnM13lt9i+uuh+5OK6D5ZoU7TyWc3lC6pdDdPh2cHTxbSYKg/ikIF7ZT8ZMMl0axcGhO/gQyhXHzVlp0maChfI03xj/T0vR0MvHc10HBxtZUMlbGdw12sGpoka11nBD982kMUvBzjNZHKY/e3rVor7rOtiuRUiJUbIL193fJpv8LNJTV8NoMsU3j5/hH3z7FZ7a0kZDOIiuyJi2zXwuz5nJWc5OzRLzeWmrinBmcqZyCb9iWunTVA62b3wq6yVUWeKhtkamUllm0tlVz38yMM7P799OSyyMKj941/jrUbZzjOSO8N7c7yMJMu2Bg3QFniSs1N2R423YJxjRn2Be/iEla4y8OUC2fJKo9+lV2xXMAXLGOUBEEaOE9ENIwsraibI9TaL4NuCgy81EvU+hK02r6lsFJKKeJ1nIv0LRGqFkjpIpn1pTwApoSMIl57q1bjwKqlRDQNtN0bpUa1uGZYuY9dHkeqLepwlpB1alG92INBQEEVHQcNwCJWsKxzWWC6dX7Wv5Znz9PRuOTcrIr1sJoAgSUc1312wjSrZJfp00YVmU7nga8yabbBTDuTl+On2at2bPLz8mIPB3tn6Wx6q71n3dhfQEr0yd4khicMXr/sWuX6AreGcu8pusTSZT5PiRYf7wd99mfi6DaViIoki8JkhjcxXRKj+yLJFJF0gs5JgYS1A2LGpqQ7R3ru3OubiY49iRITwelcef7qamNsiJoyOMjS6wmMzz8Qf9TIwn6eud5tFDXTQ0ROjrnWKwf5ZspsjwwCy956bYuYY4fhCo01v4UsNf5ULmGH3ZU5xNH6Yve5KIWs2u0GPsDD+KV/Yviz/HdSg7lYKxbcF9BOTICjOmK4lpNQSVioeEIAj4lRBbg7s5uvgWA7mzNHo68Mp+FsozjBcG0EUPPaGHkMTLbvqmY2I6Bj45yNbAnuXU4qtRBIW43oAkrhbdIhIe+cYc7stOGdu1qNEbafJ2ooirjU4AvJKfZu/GtpgolwzmJxcZuzjNxOAs85OLpBey5NIFSoVKmrzruBXndlVGUWX8YS/BiI9wdZDq+gg1TVFqm2PUtMSQHpBWNZt8+vjjT07wjWOnSRVKuLiML6ZRln6PrutiOQ4l06JkWsxlc/ybn7675n5aouE7JmAvnRtPdbdxdHhiTQGbKxu8cW6QmqCf7vprOzw/iOhSgPbAQWo8WxEQ0EQfuhRc10vodtkwAatKsYr4M4cpmoOky8eIeJ9cjphCJX04b/STNy4gi0FC+v6lKO2V27iYdpJ8+Swg4lO3oUrViMLa9aOyGESVapAEH6aTpGSNr7nd+sJ16XkEpCVjKAAXc6n21FlTTF6JJjcQ1B5CEm/NmEMWQwS1fSSLb5ApHWUq84dEPE8T0HajyfGrxn3jNxDLtclbqw2TLiEKAupdEo0uLhmzSKK8ujYAwC+rBOS7Z3m+ySa3Q0jxsj1cqUHPmiXemj1H0siTW6e10iWimp/dkRa8kspCOcs7sxfIWsXN9Pm7jGFYDFyc5tt//gmT40kA2jriPPZEF9t2NBCO+NC0Sm2kadqUSyapxTypVIH6hihe79rXqkLewOvV2L23hS985SF0j8r2XU18/Y8+4MK5ScZGFigWDfbtb+MXfuVRfF6N/TPtfPPPPuLIx0MsLuYZGpy7YQE7MTjLu98/xsCpsQ37bARR4C//ky/S3HVzCyqCIKAIlVYyPjlAh387c6UJRgoXGcn38v7CyxSdPHvCjxFRK/fZyn23Mg3p9O+kxduFKq1tBqQIKj75sjmkJurU6S1E1RpG8r1kI08RceIkytMslKep1uqp0ZoQr5hfiIKIKEj4pAA7Qg8T1xrX7J0lIKCK2ppRYwSW9nn9e7GEhCiIxLR6docPEVar195OkNDE2zdBcl2X8b4ZznzcT9/JEWbHk+QW8+SzJUoFA6NkYBk2tm3j2JXe7YIgLDm4i8iqjKrJqLqC7lXRfTpev06oyk99WzWf/ZVDxJuim32yN4DX3jjHsZOjyLLI3l3NPP9Mz70e0n1LQzjIwbbbF57xwJ13vN9SG2NvSz1TixlmM7kVzzmuy3sXh2mrjhD1e4kHP10O/KIg4ZGCeKS7Y0a3YQJWECTC+qNkyifIlI5QMC5SMsfwKK3L25SsKYrmIKadQFdaiXieQGBlOwvXNbCcFKaTpOIePMx4+neRxfW/6Gz5JI5bwnUtbDu97naOa2DaCQrmMIY9i+WksZ0irmvgYmE6afJLqbxLr7ih966IkaWU31tDlWqI+7+MYc+QN/pJFN6gYA7jU7fgVTrxKl341K3IYmhDVzJs16FomwSUtVeFN5JkOc9EIcViee00qbDqJXKH+rZusslGE1Q87Aw30+aLk7WKnE2Pr9nj+Gqiqp+Hou1sC9YzXkhwanGUnH1t0bvJxjM7k+bYkWH6L04D0NAY5XNf3Msjj3VSXRNEXqNOyrJsikWjIoLEtcWLbTsEQx72HWijvbPSQi4S9fHBuxcZGZqjWDQRRYHHn+6mc0tNxaExHuDjD/o5e2qcYsFgfvb6pSuXyKUL9B4b5sjrZ2/hU1gbQRT4yt96/pZfL4syEbWakFJFrd5MvaeVBk8bb899n9Opj2jxblkWsIqoElYqbaFMxySgRJajrNdDFCR8cpAtgZ2cSX3CXHkSTfIwX55GQKDVtxVNWnlv80g+fFKAkp3Hdp0VvWHvBEElgirq2K6NLChUa3cmy8IybRbnMhx5/QznDg8yfH6S2fEEhez1ry2u62I7LjYOpmFRzK3eRlZlWrfW8cQXH3ogWv08CIyMJTh8dAhVlYlGNuc+12J/cwNtVdHrb3gd9LtgkOfXVZ7a1s5oIkWidwjrqp6wc5k8r53px6epPL+9k6j/0+dIf7fY0CRsn9qDV+kkVz5DyRonXTqyQsDmjHMUzEFAQpfrCWh7uXoV06GM7eRwqZgOFcw+CmbfDY5AxGF1xNF1Xcr2FLnyGbLGmaU2OtOVGlfXWV6BdV0L21k7QnjNowrqqjrem0EWA0T0x3CcAqnSR+SNi+SNC+SM06hSHJ/ajV/dgU/dhl/djiJFV5herbtfQcKnrB/VLNkWY/kE1br/jt6UHNfh9OIk51JTlB1rzW3ingC1ngerhcAmP7vIokRQ9BBUPBQtHx5JvaHeboooE1ZlwqoX23XRJHlzQngPmByv1LPalrMsKB97sot4zfotnGRZIhC4fpQsGPLQ2n450ubxqMRiAXx+nWLRxB/w0N3TsPy8qsoEQx68Pg3TtMndgOi433Cp1AwbThlFVBCFSuTRK/tpkjoJq9UcSb7JojFHyb680OORfDR6O5GSbzKYO0ubrxufHFhhjuS6LpZrVvbJyjRWRdTYHnyYC5njTBaGKNslFowZAkqYDv/q1hARNU5cb6jUpOZO0+nfgS55V4hYZ6kuVRIkBG4vbbZObyGkREkas4wXB2jwtqFelUZsuxau6y5/ZjdLuWQwOTjHBz86wbvfP8b06AK2tbE9MB3bwR/2oqgywjqLN5tscqOUSib9g7MMjy5w8OEOqqL+dRcFodLjtT784MwPexriPL2tjdl0lrMTs6uePz85hyyKuK7Loa5WGqObrQNvhQ0VsIoUxq9uJ6Mcp2yNkyp9SLXvC4iChotFrnyGojWKIkXxqdvQ5JpV+3BdB3c58imgy42oUs0NCTYQV/WThYpxVLLwJrO575A3L6KIYTSpDo/ShiKGkUQ/kqBjO0UKZh+Z8vGbfOfikinUrSEIIrIUoibwVYL6/krf29JRitYwhjXPYvE9EoW3CKjbifk+R9Tz9FJN8LX7tqqSRFT1oojSmi7EGbPIJwsj7Io0oorChte3VCy1YTSf5O2Zi1xITa+5XVDRafJGiesPzgVqk/sPd8kIbL6cYdHIU7DKWK6NgIAiyvhkjXpPBK+srpgo2o5D1ioyU0yRs8rYro0kSAQUnSotQJVayf641/VfObNEwsiSMgqUbQsHB0WQ0CW1ksGg+vBupuFfF8u0mZtJMzaygCCAx6vyxDPdhDcoCqLpCpHoyowhr09D0xQEUcDjVYlWrTyWqiooqoxhlDCMtRf57mtccHC4mD2BV/Ljlf3IQuU8Mx2DRWMOwykTUCKo4uXfqEfy0ertosnbwXhxgAuZY1iugV8OIwgCtmNhOCVSZoJm7xYCShjpimmLLCi0+roIKVXMlidImQnyVoZavZk6z+qUw4gSo8XbxUDuDH3ZU7R4t1CrN6NJnmWhXLTzmE6ZVl/3baf11upNNHu3cCL1PhczJ4mqcaq1eiRBwXEtTMcgZ6XRJR91nhbUVR0Uro1l2UwOzvHGNz/hlf/xHsX8nWlFJ0oi2w504A3c+WytTT79ZLJFfvST07z5zgWaGiJEwl7ET5EHildVOLSlhWyxTLpYYjyxMjPUchxOjk2TLpZYzJd4oruVxkgIv66u2SJok7XZcBusgLYLf7lnKYJ4gZI1ilfpwLDnKZj9mPYCQe0hQtpqoyUAUVCWjZAEZGLeF6kJ/CKqdGMFz1e787quy2LpfWZz3yZnnEeT6qj2fY6Y7/N4lXZE0bMcASmZ40znvn4LAnbj8CgteJQWqn1foGD2kyq+T6r4IQVziKxxhrx5EdvJUeP/KrrSeM19qaJMVPNR5wkxUVhc5fK7aBR4c7qXF+p7aPFFUUV5wybprutiODbzpQzfGDnK+3MDpNZJsdwWqqM9EEOTPn2ubJvcHVzXxXRtJgtJXp8+w8nFUaaLi5Rss9LgXNZp9Eb5nzqfo81fjbbUw9NybBbKWY4kBnh9+gzjhSRF20CXFFp81TxW3cWzNdup0gKVerF7FC0tWGVOpUZ5d+4C51MTZMwiZcfCJ6lUaQH2V3XwdE3PphHUDZDLlUgmchQLBooiUVsXJl4TRFU35vojyxIe78rFRUWVkBURRZbweJQVPWSBpRpEAdetpCE/iDiuzU9nvwlARKkmqISRBZWCnWW6NIrlmOyJPEHkijpQUZAIqTE+U/NLvDrz5xxNvsVwvpeYVoskSBTsPBkzScKY4Zea/jbeq6KzoiCiSz7avFvpzZ5gzpqkSq1ZM9IJIIsKLb6tPBL9DO/O/5BXpv9sSRhHcFyHgp0hZSwgiQq/1vz3UEX9ts55VdLZFX6MklPkbOowr0z/GY3eDrySn7JTImemSBpzdAZ2EtNqV4j7G2FxLsOHL5+8o+IVKr/pbQfa8fo3Bewmt4fruhQKBhcuTj+w17oboSYU4PkdnViOwx+/f4JErrBiDu64LoNzSX7vnSN8PDjGV/fvYHtjnLDXg0dVUGVpU8xehw1XDF6lE7/aQ0J8DctJkSi8jh5sJlM6Stme5lJUNajtW/P1oqBXaj1RAQfTTiCiIAm+WxJXLhaZ0lHyRi+KGCXqfZa26P+6zrYOjnvnbgI3gyz6CGp7CGq7qQ/8Goni6wwnfxvTSTJfeBldaUFXGriekYRXVnm0uo0fjGdXGcWYjs1QboF/c+ZV/tedn6XVX4W8FEm+pc966eR0gbJt0p+d49+df50zi5MU1zGpERA4FO+gO1R708fbSCrRYne5Gf3VCLCuO+b9juM6676vm0G49L/70InSch2mCov8byf/gpH8HHWeCDsjzdTqYQp2mZHcPOfTE+iygry00uu6LvOlDD+eOsHvD7xJgzfKQ9E2wqqPmVKK86kJfi89QX92hn+8/UuIrnAzHmobykfz/fzZyPtMFJJsCzXwWHUl02SmmOJsapyh7Cy7Iy33ZnB3iEtN0df65VYs+W4tvbNYMCgWKqUmsixR3xBBlDZuoiCKwiqBuvycJKxZX3urSKKIJImXx3/FNfjqv1zdUmJDESruvHsjjzOQPct0aZSh/DkERHxykLhezzPxr7AtuA/PVc6/qqjR6d9JuDnG8cV36Mue5mz6ExzXxiMHiKpxDlZ9lmqtfm1TJWBLcDeD+XOU7DwhtYpm75Z1hxpUIjwUfZI6TwufJH7KWKGPwdxZREHCL4eo0ZvYGti7wi0ZKvdEQRAQr2jBdyPU6I08E/8yzd5OTiy+z2DuHEUrhyZ5CCpR2vw9dAf23XS013Vdjr5xjne/f/SGxasgVK5hwuUHLu2s8sfyzi+nhQuigDeg07G9EX0d87JNNrlRLMsmlSowPp64Y5ej+4WGSIiv7N9O1Ofht19+n0yxtCqQVDRMjgxNcGRogs54lENdrRzqaqG7rpqwr3JNEK44ae+H2df9Mge8AyEvAa+yhaD2EIulD0gU36Q++GtkykcxrDl0uQmfug1pXVMmEUWK4FO3kDPOky4fxXTSaFw72rgeFaOmHC4WilSFT+1ed1vbyVE0h27pOHcSSQwS9TxPwT/MbO7blK1JTHv+hl4bVDx8vnEXr0/1rul0ajo2x5Nj/NMT3+fzDTt4uraLJm8U6RZ+oCXHYrKQ4kRijHfn+jmdnCBjljDXqXsFeDzeyb6qFqL32MApY6U5lvyId+dfxbnKvEtEpM7TxN/o+Pv3aHS3x/cnv87F7FkK9s3Xd1/JvshBnot/noBy/6V6z5cy/Mnwu4zm53mhfjdfbHiIVn81kiDiuC6Wa1OyTeJ6CHHpFmA4FmdSY/x44jh7o238w54vEFF9iIKI7TocSwzxjdGP+GRhgMMLA+yNtqJL107bv1OcS4+TKOd4rnYHv9X5DJpYuXTbrkPJNhEQ8F+j3v1B5Pjix3yw8CYLxuoaonq9iUernmJPZO1MnmthmDaGWSmpEEQBTVc3LLJ+KZK6HgJrmt7eMq09Dfwvv/2rZBfz5DNF8pkC+WyRQrpILlNc+nup8memSC5dYHYiyeJcGtva2OiHiMjBqhc5EHkW27WXSoEEREFAREYVNRRx/fMnqsZ5svqLHKx6Ecdd+n4QEAUJWVSuGQ1t9/Xwm23/BNu1UEQV/TodARRBo9HTTnX9b2AtdRuASjmPJEgogrpKLNfpLfzc0vYeyXdTvxmvFGBb8CE6/DuwHAsXZ/m9SULls5GEm5uOTQzMcv7wIFPD158LqLpCY2cN3Q+10dRZSyQexBfQUTQFQRAwDJNywSC7mCeVyLIwlWJ2LMHUyDzZxTxbH2pF1ZX7Y/a8yQNNKl3k4sDsp168XiLo0Xl++xY6a2L8u1fe58zEDAVj7YDOyEKK6fRZfniyl6CuURsO0BqLUBsKUB30EvLo+HUNXZGRReGeRGh9mkrDfVKzu+ECVhAEvGoHQX0/yeI7lMxRsqVTZMtnsJw0AW0vfnXHum66giBU+qp6niVnnKNsTTOf/xGS6MOrtK17XHfFDfPy26qkFC+ZNGHhumsbZJj2IlnjLNny6Vt+77dCZdz2Ug3tWhGFyqqvJHiuaEl046e+Ksp0BeI8X9fNa9MXSBmrXYDLjsVAZpY/Led5ffoCzb4q2v1V1HiCVGl+PLKKJsoIQqVe0HQdDNuiaBskywWSRp65UpapQor5Upa0UWTRKJBbp+crlXdKiy/K19r20xmoCI17ies6lOwCSSNxRQ12hUoUIbDOK+9/8laOlJEkb69hL3lT+8muEvf3A7bjsFDO8MF8H0HVw4t1u+kO1a8Qm5fqsSsConKOTRdTnEtPYOPwmdpd1HsiK9LoO4O17Ag3MTA+w9HkENtCjfdMwEqCiINLwS5j2CYx7fLv8VL2wKdtdll2yqTNRRaNxKrnfFKAsnNr2TKSKCCJl4z7XEzLYmNDk9f6Hjb2O1JUmUh1gFDUj21V2qPYloNt2ljW0t8v/WnbFLIlPnz5JK/+6QdkU2s7wl8iMZvm/IkxREng0Gd2UMyX+d4ff8CeRzvweDUGL0wxNZbAtl3MsklrVy1PfHYnuUSJ04eHmZtKLR+7Y1sdj392J6Ik0nd2gvPHRpidSqF7VTq6K89JyLzz3RNYpg0uzE2n8Ad1vvTrh1Dla5e3KKJ6TXF8NYIgIAsK8hp9XtdDFm9u+ysRBRFV0NdMa75Vzn0ywPCFyWsuRKiaQufuZp7/pUfo3NWMP+RF92oomowki8vtcBzHxbEdLNPGMi2Mkkm5ZFLKlykXjaW2OtpdjbzkM0U+fvU0J9/rxShXJvy+gIddj3Xx9FcO3LVxrIdl2QwMzXHh4jSjYwkWEjlKZRNZEvF6VcIhLw31Ebo6a2hrieFfJ/1aECotDQ3D4uz5SU6eGWNyKkUuV0IQBSIhL62tMR55qJ3GhsgNZXBMz6Y4f2GK3r4ZZmbTFIoGmipTVeVnS0cNu3Y00txYdc3FNlgyQC1bHD85Sm//DFPTKbK5ErbloCgSfp9GdSxAS0uM7q5aauNBNG3lOWJaNsdOjDI0PM/sXJrpmTTjk8nl5//T776Fz6etubD3j/4fL1FbE7ruOO9HCoZJIptnKpVlajHDyMIiC7k8lrP++Wo5DlbZIF82SOWLzKSz9E3Po8kyqiwhSyKyWHHBr2TD3cU3tMTe1gb+yReevvsHXoM7UnQoixF8ahdepY2iOcJc/nuUrQkEQcKnbsGnrp/eA6CIMSKeJ0iV3idbPkOi8Cq2myesP4JHbkcWgyAIOG4J016kbE9RNIfRpAai3mdQparlfUmiF1WqRhL8mPY8qdInBLX9eNVOBFQct0DRHCVV+pBE4Q0cd/2+qXcC2y2QK58lWXwHn7oVj9yCKsWRRD8CEo5bxnSS5IxzLJbex3az6HILqlTDjUyGREHAp2j8QstDzJdyHEmMrCksDcdmqphmpphhIDvPCdWLX9bwyiqKKCEJlbiVQ8Uox3YdTMemaJkUbIO8VSZrljGuEW29hCrKdARi/EbHQfZGm/BvGs9schsUbYOZYoqMWeShaDsN3ugqoSkIq+MlC+UM4/kEaaPIGzNnOJ0aXeEkXLQMxgtJLNdmqrCI7W6ss+fNsDvSyoXMFGcWx/mvA2+wI9RId7CBzkAtmqTc0VYgnzY0XUHzVCZZtu2QXMjhOA9uPEAQBCRZQJJF4NoCq5gv039yFOkGJsHlssX8TApJqmxr2w5jA3O0b63DcVxG+2exLJv9j29lMZHlozcvsHVnE+WSwXDvNLpXZeeBNhZm0hx5t4/uPc3oHpWzR4YRRIG9j3WSnMty+vAQndsbqK4NMTOexLYd2rvr2N3cjqopS+9rkyuxTIv+U2PMjC6su40oiew4uIXP/frj7DjYSajq5hdhXdfFcVxsy77r30MxV+LDV05y9qN+jFJFwIaq/ISr7+1isuO4zM1nePOdC5w9P8nUTIpUqkihUMayHQRBQFUkdF0hGPTwxMEtxKr86wpYURTJ5kv86Cenee/DPqamU2SyRQzDQhAEdF3h7IUpzp6b5Asv7Wb7tgZ8vrXnTJZlc+TYMB8dHuTiwCzz81ly+TKmaSFJIl6vxrnzU5w5N8HBAx0cfKQDj2fthR/TtJmZS/ODH5/kYv8Ms3MZstkSZcPCcVwkSUBVZXxejXDYy4F9rTz7ZDedHSvNWctliw8/GeD02Qly+RKFvEGpdDkCOTy6sO7CSKn84PVH/8Hx8wzOJUnmCqSLJbLFMplSmWyxzGK+iHmDdb+O61IyLUrm/WXqV+W/f1o+3REBKwoyutxEWD9IwRxksfghlpPFo7TiVTqQxfA1Xy+JOl51C3WB30Dg62SNsyTyr1IwLqLLTUvpxwKOa2A5aQx7jrI1ScTzJGHPwavGohLU95Ezzi31qD3GhPD7eJQWREHFdkqUrQmK5jAgUO17idncd+7Ex7ImjlumaA4xk/sLvHIrmlyPIlUhCT5AxKXSF7dgDJE3LiCLIaKep/Gp2274GCIC28K1/HzLXkRB4FhybM1ILFQEatYskTU3vpWDAERUH7ujjTxft43n6rrxSOp9k0+/yYNJ2TFJmQUEoM4TRrlBN8O8VSZtFnBwyFklzOJqgeqVVfZEWmnyViHfwxro7eFGPmft4YO5iwxmZhjIzNDsG6EzUENPqJGtwXoi6q35BPys4ffrhEJeZEXCMm2mJxfJZooEAp5NsXQd3Cvqt0RRIF4XZu9jnSzMpnn3lTPMzaTweFRESaC2Mcq+x7YwMTLPkff6mJtKoWoyw30z+Pw64aifXKZAKpEjOZchWl0pTQiGvXRsq6e548aMG38WWZhOMTueIJ9dv/d0Q3uchz+zg31Pb8Nzi+ZLgiAgSevXdN8pHNshlyly8fgIuVRheYFJ8xhY5Xs3obdth+Rinh+8fJK337vI3HyGgF+noT5MrCqAR1dwlkyKEskcmWwJy3bw6OtnBxSLBhf7Zzl9ZoJ8ocyWjhqiES+CIJDJlpiYXGR4ZJ6pqUUcx6Uq6qe1Jbbmd3L81Bgvv3aG02cnkCSRluYqauJBvB6VYslkbj7D8MgCH348wOJiHkkSePLxip/C1feOxVSet9+9yE9+egbDsOloj7Nre2NFPAtQLlnk8mXm5jOVKG/BYK2giiyJbNtaRyRcSevPZEpc7J/hfO8UAM8/s42a6uCa7ZkiIe89iTLeDq+e6efE6BT5knHNaOsmt88ds31VpRpC+kFmc9/BdCqrhH51Fx6lfd304SuRBD8x72cRBBG18CYFs5+iNU7OOL8UJXURkBFFD7IYXGqL044krK59CWoHMHwJwKVkjbGQ/wkuJsKS47GyFDGOeJ7Cq2xhPv8KzjqpxhuNKKgoUjUeuaXi1GwN4zhlXKyl9ygt9ZkN4lN7CGp7ifleWtFf93pUok8CT9ZsQRElIpqX44kxJgupdfuybjRh1UOTN8quSANP127l0eq2+9YQ6NNGtV5Lo9lK3spiuRa2a2E5NjYWllP5d+U/e0PMnu42LqwyRrjR17m4hBQvL9bvpsYTXq6PvRJREAmrPnTp1tIHN4KI6uPZmu20+eIcTwxxPj3JZDHJ6dQYZ1LjfKZuFw9XdVC92YrquugelVh1gFgswMx0isVknnOnJwiFvQRDm03lL1FxRa5E31zXxV4SFfbSpEy8ZB4lVO4xiiotb1sxlhIuP6dIWJaNIIBRNjHLFjMTCUCge3czPr++nCYYDPvwB2+vfc2nnYmBWbKp/DUz37ftb2f7Ix23LF7vJeWSwdx4gsRM6s4Zj90C+XyZDz8Z4EevnCaXL9HcGGXv7mZ2bG+ksT6C36fhOC6ZbJGp6RSJZI6O9jjh8PrXlUy2hDm6QCTs5aXP7OShvS3LabOJZJ7TZ8Z59Y1zXOyf4ZOjQzx5qIt4dZDAFS2NHMdhcbHAy6+e5sTpMQI+nf0PtXLw4Q5am2ME/Bq5gsHYeIL3Pujj8LFhzvVOoagyW7vqiFcHVwnF+YUsb75zgWyuzNYtNXz+szvZ0dNAKORFQCBfKJNKFxgbTzI0Ms/+va3U1q6ujdR1hZc+s3P53+OTSX7w45PLAvbF53ewc3vjhprb3Utm0lnShQevl/eDyB0TsLLox6u0o0q1FK1hBBQC2g50eXVvtrWoOP6pVPs+T1DbS7p0lGz5FCVrHMvJ4Lo2ouhBlarxKK0E1B341B4UKbJqX5ocJ+77Il65jWTxHYrmIJabWxKPMfzqNsL6Y/jV7Rj2PGH9MUwngSSun6oii0F8ShcCMrrShHCTBgyXkAQ/QW0fTaG/Rc44Q8maxLSTOG4RcBAEtdK3VmkmpO0npO+vpFDfQi2VIko8WbOFNn8V7wb7eWO6l7F8koxZomgZ6/h93hoiAh5ZwS/rhFQP28N1PF2zlYeqWohom5PEu8nu0H6aPW3k7Rwlu1j5zylSdkrL/y7bRXJ2jpSRIGtl7vWQbwpFkPDJGg6VHrCmU5lEX29xRBdlvLKGKsq0+2vYF21bdii+H9EllW2hBrYG68iaJU4ujvLW7Fk+WRggb5XwSArP1u6418O87xEEqGuIsG1HA7MzKRzH4bWXT1NdE6R7e0MlgrhGNMB1XUzTxnFcZFn81Ey41kP3qkiSxOJClvGhefLZEunFAs5SClwhX8Y0bSaG50nMZijmy8TiIWzbJp8rMzedYmJonunxJOWiSXVtCN2j0thWTbQ6wM79bSBUTK/qmqoqgheWRO89fOMPADNjCxRz69eAy4pE67Z6GtofzCh2LlVg8Mz4fSVebdthdj7D9354gly+RDDg4aXP7OTZp7dRHVs9V9y+reGG96vrCs882c2v/NKjSJK4/PuPhH1EIz4EUeBi/wyW5TAwNMe2rXUrBKxp2hw9PsLZ85OUSxbPP93Ol39uL60tseVtAgEPdTUhqiI+DNPm9bfOMzQ8z+Fjw7z0mZ2r+rCWShYzs5X+pTu3N7J3Twv1teHl50MhD/V1YXq66y+ZWG+et5vcVe6YgL3UAuHSJLLS37QDRQrf9L40uZ64/4vE/V+85fEoUpiI9wki3ieuc6xattf81+vuL+x5lLDn0VsezyUEQUSVY8TkF4j5Xrjt/d0ITb4of6ntAM/XdfPOTD/vzw9yPjVF1ixhuQ6O6+C4lVrXS+b6V99HhKX/F4SKWK20FxCQhEqRuV/R2Bqs5UBVK4fiHTT6Ivc0gvWzTK2ngVrP9W+mM6VJ3p9/nXfmX7sLo9o4vLJGrSeMJIgMZGfImAVq9RDSFSm/7lURWkEQiGh+6jwRBrOznE2NszPcXKn1vuIufKX506XX3W1cXFz3sgGVKIiEVC9Pxrt5NNbJ/3bqLziZHGE0t3493CYraW6N8fDBTo58NEguV+LMqTG+/eef8Pkv76NnRyO6riyntLmui+u4WLbD7Ewa07CoqwsTqVrPSf/TQSjio7YpSt+ZCf77//UT/CEPTe3V6J5K2YemK4z0z/Jn//lNyiWTPQc7qWuOMjuZQtMVBs9PMT40j2057HqkndrGKIoqs++xLXzydi9H33sVQRAIV/n4G//kC6iSjOZRUdSN60f+aSUxk6ZUWF/AhmIBojUhPL4HL/oKkE0VGDgzdq+HsYJC0WBkNMHwUt3xow93sP+htjXF680Srw7wcy/tRpJWG/OEQ152bm9EEgVsx2UhkaNQvOzV4rouZcPirfcuks+XiVcH2NHTsEK8Xkl7e5zOjjgffDxALlfi2IlRXnh2O4qyUsDKsojfr1MsmYyNJ0mlClRF/MhL5l9XjnPzdN3kXnDHBKztFihaIxTMIcAhrD+GJtXdqcNtcpOICFTrQb7cvIefa9rFopGnLzPLYHaBsXySifwic6UsRdugaJsULRPLtREQkAURVZTxyipBRSeieanWA9R7QjT5orT7YzT7o3gkFVkQkURxzdTMTe43BB5EJ1tZEKnWguwOt3IsOcRPpk7ja9Zp9q28gds4uC7LhmRN3hg7w028Pn2aH0+e4Mn4Npr9MdQrsiks1yFvlfDKGso9rIFNm3lUUcF3leGZKIhIQqVVyQP41d0zvF6VnXua+epfeoQ/+r13ADh+ZJjeC1M0NVfR1hEnWuVHFCCTLpJaLDA2usDCfJZde5r55b986FMvYAH2P97Fnkc7KgsoS78vWZGYHF7A49N45Olunv3iXnArKcWKWjlHfAGdxz+7k0Of2V55ThaRlybI3bub6dzegLtU1ygIoGqVc+6rv/k4giggS5/u6PbtklvMY16jFrS6PvJAp2HnUgUGTo/f62GsIJMpMjRyuWXRvl3NxDdAvHo8KrU1IWLrmGwJAqiqRCjkYTFVpFy2sK8yAjIMi4sD05TKFo0NUaKR9Y12BCDg0wmHPMzOZZiYTK5ZghMJe9m/t5VXfnqGYydHKZYMnn6ym0f3t1NftzrTcZNN7jZ3TMAa1gyp4oeAg4BCyPMImlxz3dfdj0wlM7x+up+P+sb40oHtPLerA2WNG2wqX+QP3jhK3/Q8v/XsAXa31qEpd+wjvi0uubKqkoxKxRk4rHrZHWnCcCwMx8Zy7EoklkvR2KUJB5Voq7gUDZJFEVkQUUQJVZTRJBlVlFc4ut4sruvyB28e5dTINC/t3cpT29vxapsR3E1WIwgCcT3Ir7c/zmQxwWvTpxjOzdEVrKNK82O7DnPFDBezU/ydrs+yJViLLqnoksKucAtfaXqEb459zL848y32V7VTq4dxcVk08kwWkqTNIv9851eIqn5kQcJ2HZLlHHPlDCXbJGsWSBl5bMfmYnaK0IIXXVLwyxpxPYRf1hEEAcuxmS9nSJRzlByTyUKSrFnCdR1Op0YpOQa6qBBUvcS0AH65Ej1xXJff7X+DiUKSZm+MWk8Ir6xRtA3Opyc5sThCZ7CWLYHae/xNPDgIgkBVzM/zL+5E9yp89xuHWVjIkssUGbg4w/joApIkVVqH2Q625VA2LGzLxlhy4fy0IwgCsiItC8+Vzy09L0vo67iYrvecJIvrmmWpm9f4G6KYL2Nb67uie/2VHq8PIsVcifmpJImZ9L0eygpKZYtEstKKThQFamqDeL2331bNoytEIr51W8Vc8jC5dD1yXZcr9aZlO6QzJYoFE9d1OXN+gomp5LruwgDZTIlkKo9tu2Rz5VUZSgA18SBf/PweEos5Tp4ep29glumZNK+9fo721hh7d7ewd3czVVH/A9nmZpMHnzuirmynSMHsZ7H4HgISIf1hPHIrovBgrggals1sOsfgTILFfJH1/GIs22EimWZsIUWhbK55UbhfkUURWdRWRXjuJbOpLOMLi2SKpQfqs9zk7qNLKttDTfzdrS/x3lwvI7k53pvrRaAScVVFiYDiWdFyRhQE6jxhPtewl7Dq5ZPEACeSw5hOJdNAESV8sk6bP44uKssLMnmrxLtzF3h16lSlnZRrM1lYxHRs3pw5y/HkMJIgVvZdv5dHYlsQgKxV5OWpk3w834/tOpRsg0Q5h+06/GDiKD5ZRxZEOvw1fLZ+N3ujlb7XAhDTAgxkZzmeHMZxHUSx8p5ERB6v7uaJeDfbw4335sN/QJFliep4kKef205DY5Szp8cZ6p9jenKR1GKeYqEEuHi8Gr6ATkt1gOaWKvbub6O2Lnyvh39PidWGeOz57cuR0yuJ14d58sWdeNZp9bHJ7WOZ115EUT0K0hoLDw8CqYUs4wOz1xTo9wLLspdTd1VFQlPlDRFusiyi38Biw3rxAMd2KBTKOO5SbXrBWHIEvjGsdT5nVZVpa4nxV371EGf3TnL81BgX+6YZHJ5jejZN38Asb7/Xy/aeBg492kl9bRhVvT8DNneTgKYR8jyYqfs3gu8+Whi77V+b6zrYTg5wQRCxnCy58hnm8y9TtqaQxABx/5dRpfgNuQ8/yHg1lZ/b382h7hY6aqObaVC3yTM7O+hpqqG7IY76KTdM2eT2EAUBn6zxWPVWavQQE4UkKTOP6dhIgohXVolpQWo9YeQrrkOapNDiixFSvHQEapgrZShYBoJQEcUhxUuDN4JX1rjUSVYRZVp91Twe777mmAKKh7geXM7sVUWFrkDddVORY1qAqHY5PVUQBJ6q6aHNHydl5CnaJi4umqjgV3RafdU0eavwK5/em+adQpJFqmJ+ItFOmlpizM2kSCby5HNlTMsCFzRNQdVkgkEPseoA1TVBAlelZ/bsbETTZTLpIs2tq2vPduxswqOrFApl6hujq5/f3YTuUTHKJnUN9396ntev413H3dYX0PEFNn+LdxLbdq65qCvJ0gMbFUvOphm/OH2vh7GKSpXG5br4jeqiICwZmd3OwK58/ZaOGrq31hGL3li/To+urqp/vTQuXVfYtrWO2poQne1xRkYXGB5dYGhknrHxJMOjC4yMJRgbT/Li89vp7qq7ZuT3TlHIFuk9Mkj/8WH2PbuDjj0tiOJKvWGUDKYGZ/nwB8c48NndNHXXo3s3fpHtlw/uZjG/fnurB536yI13OkjNZ/jge0fQPCrbD22lrm1jTeVuW8A6bolU6UNK1jguNpaTIVc+R844gyR6iXqeIqw/hix++uuFvJrCszs67/UwPhUIgsDBrpZ7PYxNHiAEQUCTZHrCjfTcRDRSFiVieoCYvvWGtvdIKg9VtfNQVftNjc8nazwRr0RLbwYBgc5ALZ2bKcJ3hEu9LhubojQ2rRaXN8KWrbVs2br+97Olu44t3et7QGzdVs/WbfW3dOxNfgZxuaZDr/CAOjm7rktyNs1Y/8y9HsoqZFnC56uIM9NyyBfKmJaNco8X1yVRwOfVkEQRsKmvC/PcU910b72+58wlY8BrvQdBEIhGKm7I27c1MDuXpn9wjov9M1zsn+FC7xRvvnMBVZXw+3W2dNz9UsFSvsz5j/p4/U/eI1obon1XM1wVLzPLFlMDM/zod39KdWMVNS3Vd0TAfnZX14bv80Elm8zx9jc/IhD2UdNaff8K2IX8TzCdFACioKNIUQLqTuqDfxlVqkK4hwYoN4LrQtm0mM/kWMgWMCwLWRQJeXUKZXN55e1q8iWDmVSWuXRuxeNbG6oJ+zzr1oGWDJNUoUQ6XyJfNjDtShqHJsuEfR6qgz68mrJqhc91XTKFEgvZAplCCcO210wlqosEaY1HMG2buXSOyUSGLXUxXNclkau81nZcVFki4NGoiwTQVWXVeF3XJZkrspDNkyuWsRwHWZII6CrxkJ+QV19zFdKyHRbzBRYyBQqGiW07FTMCWcavq0T8nlWfT8kwmcvkmUysrH1pjUeoCflXrahdSdEwSeYKJLMFSqaN4zpIooiuyAQ9GhG/l4BnM6Vtk0022WSTnwEewKobo2SyMJ1ibiJ5r4eyCo+uLDsOO47L+GSSttYYkfCNRTrvFJJUcQsOh70Y81mSyRzFkol2B9y8NU2muamKpsYqHj3QzulzE/zB/3iP0bEER46N0LO1ns72mptaPLlb1WGSLBKqDrLj8W6itSEk5dOdEfqzwG0LWEFQ8Cod+LXtlK05oNKKJqQ/TJX3BbxK220P8m5gWBaDswl+ePQ8H/SOkiuV8WkqPY01bGuspmSaa75uJpXlu4fP8vLxi9i2Q7ZUxrId/v1vfZFD3a3rpr6OLqR4/8Iwx4cmmUxmyBbLOK5LyKuzp7Wel/ZtZVdLHR51Zb55tljmw74x3j03RP90gmypRKFskisZ2I6DT1PxqAq/dGgXf/OFR8mVDF492cd/++kn/NOvPoth2Xx4cZSLk/MUDZOAR6OzNsbXDu2ip7EGn345/cN2HNKFEm+cGeDd80MMzyUpli08mkJHbRWf2dnJEz1tBDyXVv8qWLbNXDrPa6f6+KB3hNl0jkLZRBJEQj6dtniU53Z18MyODsQr0qwTuQKvn+rnT987geO4ZEuVFc5/+OWn+MWDu9DWEbBl06J/eoE3zwxwZGCCZK5I2bTQFZmqgJedLXU8t7ODhzo2awQ32WSTTT6t2JaNadqYZRPLsLEteznd9rLrsYAgChUzKUlCVmVUTUZeqmm8X1v4XHoPtu3gOM4aze0ebBzHYX5qkenRBYzS2vOte0nAr9PeWo0si1iWw4lTY2zpqCEY8CBJ904MCYKArsns2NbAh5kBRsYWGB9PsHtHI95rRBjXai231nNrnQ+CAD6fxr7dzfQf7CKRPMFCIks6c/3UWVEQVnxel1yV73Rfbd2ns/2xrWx/7MYyrTa5/7ltASsJfuoCv0Fd4Dc2Yjz3jN7Jef7kneO8eXaQ5liIz+3rxrIdzoxNc258Bstx1nxdQ1WQXzy4i0e7WphKpvn6+ycZnU9d93if9I/xyvGLmLbD9qYaakJ+LMfm474xXj7ey0I2z68+sZeDW1em0f7o6AW+8eEpVFniiZ42OmurmE3l+ObHp5lZzPHCni6e39XJtobVofo/efc4qXyJqN/Lo13NSKLI2fEZfnq6n9GFRf7pV55hb9vlfqGpfIk/ePMI3/74DEGPzo7mGuIhP3PpPGfGpjncP8ZfSz/MVx7dQdTvXX7dTCrHX3xwmj96+yidtTEOdDQR8upkimWGZhP0Ts7SVhPhqZ52uOKaVR308eK+rWxripMplPiz90/SOzHP9Tg7NsOfvneSjy6O0lUX47N7uxARmM/m6Z2Y5eLUHNsa4zx03T2tzYPZXGaTTTbZ5GeLdCLH0LkJ+k6OMto7xex4gsR0imK+XBFFQsXp2BvQqaoNUd0Qpa2nka49LbTvaCS8AW1R7hSO7ZDLFEjNZSlkSzj2p0vAlgoGA6fGGL0wda+HsiY+n0Z7WzUtTVUMjy7wwUcDtLdVE6vyE6++8brAO4Gqybzw3A7OnJtgZi7DB58MUlsb4slD64s113WxrMq89uoaWGep77Ukisjy+rMf14VCycBxHCRJRJKuP1OqpGJfFtbTMyly+Rq0+8gcaJMHgw2IwD74U/tsscyJkUmODE2wu7WO//2XPkPQqyEAyVyB7x0+x3c+PrdmGxdVlqmPBqkJ+ZmLhXjtVD/jC9e3f//s7i4e39qKqsh4VQVJEnFdl68+uot/9b23GJhZ4OLU/LKAdV0X07Z598IwluPy1QM9fOnAdhRJpGRYtMYj/J/ffpNcsYxXraToXs3I3CK/+sQ+Pruni3jIjyDAQrbAv/7u25yfmOXCxBwtsQjRgLfymQxP8r3D52ipjvC3P3uQ7saKmZJh2fROzvEfX/mQP3n3OFvrq9nX0YBPq0RvE9kChwfHCPk8/IuvPU9DVQhJFHGcynswLBtNllbVXSiSRDzoJ+r34Dgub50dZHAmcd3PcnA2wdBsgt2tdfyLr31mOWptOw5l08J1Xbza7RoLPPi/80022WSTTxOO41IuGHz86imOvHGO4fMTpBM5zLKFZVrYllOJwDruclTJMmyK+TKp+SwjF6Y48W4viioTjgXo3NXMw5/Zyd6nuvEF7nzXBNuyyWeLZBI5Mskc6WSOdCJHNpknnaj8O7P0WD5dxCibOLZDZjGPWV4/Snn0jXNcODKEot6eKOjY2chX/+fPsG3/zdX7r4fruOQyReYmkkwPzzE1Ms/MyDyTw/MkZ9NkUwWK2dK6r88u5nn5j9/nvR+e2JDxAOw42MmLv3qI7Y9c279EEARiUT+/8SsH+bf/4TWyuRLf/t4xei9O89DeVjrbqwkEPJimTSZTZGomRf/gHPHqAM8+2U1jw63V198Iiiyxa0cDTx7q4s13e7lwcYo//JMSp89Nsm93C/HqALIsUiqZJJJ5JiYX6R+cxTQs/vpvPkVdXXhF2m82V+Lw0WF+9JNT7N7RRFdnDfX1YUIhL7IoUiwZzM5lOH5yjNdeP0cmW6Knu576ush104eDAZ2OtjiiKOA4Lj94+SSO67J/XyvhoBfLtikUDDLZEls64iuErVE2meib5of/5adcPD6Ibdo0dzew5+nt60btP/7RMV7743cZODkKVFKJf+Uff5lHPreX4FW9d13XxbEdTrx5juNvnmHk7DiLs2lsyyZaG2HHoS4+99eeI1wdRLwiimwaFrOj87z8e2/Sf2KYxZk0ZtlczpGQJJFQLMj/68//LrH6KB/+4ChHXztFpCbM3md38OP/9jrDZ8cRRZG69jiHvnSAh17YReiq8RVzJY6+dpqPfnSM0XMTGIZJrC7CI5/by5NffZRIbWiFJnMch3y6wE//5D1Ov3OB2bEFHNvGH/HR2FnHgc/u5sCLe9CuMN5yHIeFiSRvfeNDjv30NIuzaVSPSseeFh7/0gH2PrtjVYuufLrAsZ+e5p1vfcx43zSKKtP9cCcHXth9R93ENz2vgfFEisHpBF5V4YmeNhqrgohCJZXIr2vsaqnj1Mg004vZVa8VBQFRklAkCV1RkEThhvL/qwI+qgKV3l9X1oEGPBotsQgD0wukC5X2MYIg4ALpQonFfJGoz0NDJETIW3F61BSZnS21aIpMMl+kbJorUnov0VEbY09bPW010eXUZkWSeLizkb6peebSObKlMtGAl0Q2z8d9YxTKBi/t3cq2xjixoK8yFtdFIM5Le7v5jz/5kI/6RmmuDuOrrpwEglBpXVI2LXJlA12RlwWk61YSnyr7WIkgCMiSgLwk5mVJXLf2eOV3UHmvRdOkaJjUhPzLJ/HVPdNuDWH5GJtssskmm9xbXNdlcT7D0TfO8eHLp5gemSM5l6GYK2Fba2dLXfla165MVE0DWGo5kknmWJhO0XdylHe/f4xDn9/Dw8/vQPdpd2Sh/rWvf8jxty+QmElhmTamYWEZFqZpYRn20t/t5cds89rOw1dSKhiUbqKVynqEqwO3nM5rGhaL81kGz46xMLHI7ESS+clF0oksxVxpaYzl5T9Nw1pO814Px3HJZ4rkbyBV9UZp6IhTvsH3qHsUdu9s5jd/7XG++6PjTE2nOHlmnOHRBXxeDVmWKsEGy6ZUMsnnyzy8vw3TvLMtgQRBQNMUvvj5vSiqxNvvXWR8MkkqXeDY8RE0rVIPa9sOpmlTXBpbbU0Q23GoFExfKXxcsrkSvX0zTE2neO/DPnRdQVGk5f2UyxbpTJFUukBNTZDnn+6hu+v6RoOaJtPSFOWZJ7p598M+JqdTfOcHx3nj7QsoS5+f7bgIAvzzf/xFauIVseTYDoMnR/n6v/4eQ6dH2fZoF1W1YXKpAp+8coKZ4bWz9Tp2t/I5VWH84iQXjw7xzjc/Ip8p4NhrXydEUeTIqyeZHV2gqi5CS0/jsgHUT/7727jAi3/5aaqbqpbHNT00yx/9799kfjLJvud3EqkOMjU8x6l3zpOey/DoVx7m4Zf2Eliqly7mSkz0zXD63V4GTo6geVT2Pb+LYrZI/4lhfvA7PyWfKfK5v/bscrq1UTL4/n9+jU9eOYGsSGw90IGiycyNJ/jR777OzMg8L/3WM7T0XC6VK2SK/PH/5ztc+Lif+o4a9j27AxeXTCJHNpljdnRhxefgui5Dp0b58e+9yfmP++nc3ULn3jYKmSJjFyf5zn94hYXJRV76rWcQlpyvLdPmja9/wFtf/wCjbNL9cCf+kJf58QQ//N3XmeibJhy7MxkKmwIWWMjkmUvnCOgaW+urV4g/WRKpCflprAqtKWBvFUGAiUSa/ukFJpMZ0vkSZcvCtG1ODk+RLZaxbHtZwApUxKYoCJi2vSKl+ZIBleu6yOL6luztNVFqQr4VdbmSKFAXCSJLIrmSQdm0AMgUy/RNzSMIAnta6wleYdYkCAIBj86e1jpEQaB3cp504fKqaSzg41B3KwPTC/zRW8fY2VxLT1MNW+urqQn7K5/vBk4IttRV0dNYw+GBcf7zTz5iZ3Mt2xrjbKmLEfTot91OQBDWF7Cu62I4ZebLs8yXZ0ibi+SsLIZTwnIrNy1ZkNElDwE5SJVaTVyvJ6SEUcS7bzf/acRxHYp2gfnyLEljnqyZJm9nKdtlLLfSj1kURGRRxSv5CMhBomqMmFZDSIkgi/fHZdByLDJmigVjjkUjQc5Kk7fymK6B7VbOS0mQ0UQNr+wnKIep0qqp1mrxSF6ke2yU57oupmswW5pivjxLylhc+h5KOK6NgIgsynhl/xXnQh1BJbzm2Cup+5uZD5uspJgrMXB6jA9fOcWZj/oZuziNaVi3vV/bcsgu5smm8syOJ5ifTDJ0doKnfn4/jR01qPrGpjiO989w9pMBEtOpDd3v/UIhW+LC4UF+8Advk08XyaXz5DJFjJJ5XaF6vyKJIsGAhycf7yIU8nD63ASDQ/PMzqaZmEximDayLOHRFYJBD91ddezoaSAc8l5/5xtAQ32YF57dQUNdhLPnJxkYmmNuPku+UMaybBRFwu/TiUZ9bN1Sy46eBqIR36oFGo9HoaO9micPbWF8PEliMc/sXAbDtHDdyrzY59OIVQXYu6eZvbsq/93I+xRFkaoqP1/54j5CIQ/nLkwxM5tmbj6D67qoqkzAr1MTXyl6EtOLnH7vAoOnRjnwwi6e/eXHCcYC5FMFjrx6isn+tVsvResjBKv81HfUIAgC73zzo3XHJlR6JfHo5/dhGRb+iA9vwINtO4z3TvJH/8e3OPKTUzz6uX3LAraULzPWO8WZDy7y3K8c4vEvHyBaFyabzKF7VN777mG8QQ+7n+5BviJVu1wyKOaKhGIBnvuVx4nEQxhlk49/dJwPf3iUC5/08+jn9i4f58x7vXzy8gkCER+HvrSfjr2tyLJEcjbNq3/4NifeOkdjVx3heJBQLIjruBSyJT78/lFaeho59KUDtPY0glARtoVMkWAsgHJFL+/kTIpT71yg9/AADz2/k0NfPkAg4qNcNDjx5lk+efkEn7xygh2Pd9PcXXHNHzk3zok3z2LbNk/8/MM89MIuVE0hMZ3i5d9/846WOtwfM7d7TL5ski8bqLJEdI3UW4+m4tc3zsHWtGwOD4zzQe8I44k0AqArSsVAYul5160I0yu/ep+u0l4T5czYDKdHp2mIBgn7PGSLJd7vHaFkWnTWxogF13bFiwW8q0yhEARUubKqZtkOztIKr2HZJHNFJFEgFvShXNXTVpFF4iE/oiCwkM1TMi9PIKIBL8/t6iRXKnN2bIY3zgxwanSaztoquhvi9DTG6aitWjr87U9Q22uivLR3K7IkcnFynv7pBVqGInTVxdjWGKe7MU5dOHDLxxIQkISVp4rruqTMRaaKY0wWx5gtTZIw5smYaQpWDsMpY18SsKKMJur45AARJUpMr6VWb6DR00K9pwlduvOpap9GSnaR+fIs08UJ5srTS6IpQc7KULDzGE4Zy7UuC1hBwSN58csBQkqUmBYnrtdSqzfS4GnGK62+kd9pXNclb+eYKo4zU5pkvjRDwpgjZS6St7IU7QKmY2K7NgIgCRKKqOGVvfilIBG1imq9lhqtjnpPMzEtftd/T45rkzEzTBRHLp8L5aVzwb50LjgICMiivPwdRNQqqrVa6vRGGjwt1HubkJCWvwNJkO65KN/k/iKdyHL6gz7e+8FxTn1wkUwyv/EHcSuT0t5jw0yPLJBZzPHUzx9gy+7mDU0rdpZSmz+tGGWTmfEE5w8P3uuhbCiiKFAV9fPEY120tVYzPp5kfiFLNlfCtGxkSUTTlYoIqw7S1BghsEZf5N07G9F1GUkS6eq8duuZQEDnS5/fS75QpqkxSqxq7baUgiDQ0lxFrMrPls4aRsYSJBay5Ismtl1p+eP1qkTCPmprgjTUR/Cv0c9Z0xQ62uJ85YsPMTWdYjFVoFAsYxqVoIokS3g9KtGIj+amKlqaq9C1G3c91jWFbd11+HwaPd31zM9nKRQNXNdFUWV8XpWqqJ+A//K8e3Zsgb5jQ8iKzIu/+Qyde1qR1cq8zDItRs6NM3JufNWxJElE8mr4w168wRs7f/c+u2PVY6FYgPadLZx+5zzF3OXsyHLRIDmdwigabN3fTl1bHF/ISyQeonFrPaIkkksVUNSr5pCOQ6QmzMEvPMTup3qWHy8XjUoa8myKhcnksoA98top0vMZDn5hHwe/uJ9gtPIbaNpajygI/N9/979z/uN+tuxtI3Qp4um6y+UUsiIRqQ3hD68/z5kanKX3yACSIvHZv/I0TVvrlrt/KKrM1MAM5z7so+/40LKA7Ts2xPTQLJ1723jiq4/Q0FmJwrf0NDI5MMPwmbEb+sxvhU0By+U00/XOPfF2G01fxdhCiu8dPsfZsRk6a2Mc7G6hpTpCQNfQFJk/fufYqkbIgiCgSBLP7exkIVvg2OAE6XyJumiAQtnk1MgU3Q1xDnW3UBdeO1yvK8oNu+W5rouz1Ky7kk698vlK820RgUq6yZVKW1dkOmur+OufeYSP+8Y4MTzF8GySD3pHODIwwaNdzXzxQA/tNVGkDRAMAY/OI11NNFeH+bhvjFMj00wk0vzo2AWOD03yzI4Ont7RQWNV6Jb2XxE/l08Vwy4zU5qkL3ee85lTjOWHKDvr1+0YjoHhGGStDDOlScieIaxEafdvZXtwD23+LVSp1UuR9s2I07Wo/C5t5suzjBeHGcj2Mpi7yLwxg+Ounzpouza2a1N2SqTMJBPFUQQEAnKIZl873YGdtPo6qNHr0cS1W0NtJI7rUHZKzJSmGM0PcjFzlrHCEFkrva67qLv0OtM2Kdg5FphjpDCAKEhUazV0+LayJdBDk7eVaq0GAfGOv4+iXWCuNE1/9jznMqcYzQ9gumun47mA4dgYTpm0uchkcQxJkAgrVWwJbGNHaC+tvk78chBJkJBFGUXcNPbYpEImmefom+d57c8/5PzhQSzjzqZlQkUwv/HNTyjmy9jmQbYdaMe7xoR/k589FEWirSVGW0vsll7/yP52HrnB2uJwyMuvfu3RG963z6expaPmlnuyioJAwK/T011PT/ed6U8tiiKtLTFab/DzyyxkmZ9I4A976djTinRFNDPWEKWuPb6mgL0V8pkCC5OLpBcylPJlLMMiu5inlCtRyBYrdZ1LWdeSLOHxa4iyyNTgLKn5DIIgLO0jiSiKRGvDax4nXB2k66GVv4FQLIAv6CWXypPPFJYfHzo9hupRqW2NL4tXAFES2fZIJ4Goj+mhWRYmk2w90IEgCngCOo/+3F4ufNzPu9/+hMT0Is3dDcSbY8TqI6tqWRcmkkwt1UaPnB1j9IrPM5cukE7kKObLzAzNLj8+PTRHMVeiujFKTWv1iv217WwiELlzbaY2BSygKRKaIpMvG6Tyq4WIadkY5u2nKF3i8MA4fVPzNMfC/OLBXTy5/XKrIdd10RR5ORJ6NQ9vaeLc+Czvnh/m7Pg0owuLBD06O5vr+PxD3XTUVq2Osl7BjU5nFUki6NGZTWVJF4pUB30rTJcs22YxX8B2XYJeHUVeKYwlUSTs8/Di3q08t7OTgZkE710Y5p1zQ/z4WC9l0+LvfeEJJHVjaktVWaalOkJzLMzPP7KdE0NTvHl2gA96R/ne4XOIosivPLHnlvYtICALynKK5FhhiHfnf8rF7FkK9q1FAFJmkuOLHzGY6+Xh6BM8UvUkVWoMSdj43m2fFlzXwXAMZkqTfJJ4j7Pp4yya1zf5Wnd/uGSsFGfTx+nNnKYnuIfHYk/T7G3HK/vvWPTPdm1yZobR/AAfJN6iL3seax3RdyM4rs1saYrZ0hS92TPsDh/g4egTxPVaFNQ79nsqWgWG8/18kniXs5kTGE75pvdhuzYJY47FxAK9mTM8X/Nz9IT2EFGiKIKKKm72bv5Zx3VdjJLJyfd6+eHvv03fqdFrRi4FAWRVRvdq6F4VWZERJXF5EdqxHSzLxiyZFAtlygVjzV7qlzDLFu//8AS25aBqCtsOtK9IBbxVZEVC8yhonptfpDHL1jXHLEoikize9sK7qsnX7L9+LQRBQJalm3p/ju1iWfY1v19JFjfk87+EoskbGqDY5M5QLpkYRQN/xLcqmql5VDwbsLDkOi7FXInT717g5NvnmR6cJZ8pYJZMyiWTxNRipVbbdXGpBHh8IQ9tO5po2lrPe985jOpRqWuLMzu6wMUjg1Q3Rtn11LY1j6foygoxCpVzV5CE5ZZZl8gksuheDc27svRMEAQ0r4bu00nNZyheoWG8AQ9/6R99ie//p1c59+FFLh4ZpKohws7Hu9n/mV20bm/CE/As//6LuRK5VJ7kTJrf/2d/vuaYq+oiKFe028xnigiigL5UA34l/qB3OUp+J9gUsEDE5yXq9zCfyTO+kOKRLU0Ay4ZFqUKR+czGpSrNp/MUDYvGqjCtNZEVz5VNi/l0jvw6pgKDMwlOjkzRXhPl15/ax/ammjsyQfV7NNprovRNzdM/k6AuEiQk6cufSbFs0j+1gOu6tFaHl1OsK7q7EkO6ZE6lyNJyTWp7TZR//d23ee/CCH/384due5yXjgdL/f0EAVWWeaSrmX3tDXi1j/je4XOcGZ2GWxSwoiCiiAoONuP5Yb47+WdMFEdx3NuPAKTNRd6ae5n58gyfr/sFqvVaJDbTJq/GdV3KTpnR/CDfnvhj5srTyynaG4HlWpxOH2WsMMRnar/A7vABAnJow827HNchbSY5sXiY12d+SM7euLp6gKSxwHvzrzOQ7eUXmn+DBr0ZVdxYE5pLUfALmdO8NfcKI4WB296ng0PKTPLtiT8hZS7yaNWTyKKMKm1Gu36WcV0X27IZOD3O1//dK4xdnFpf3AiVFh3egE5tc4yufa1s2d1MdV0UX8iDx6dh2w6FbJHUfJaJwVkuHhum/9QYmcU8Rnn92kzbsjn80zPIskisIUxtcyVqdDvnVXVDlI4dTVTXR66/8VWM9E6TSxVw1mnvFwh7qa6P4F0jdfVmaN5ad8v7UBSJqtoQW/e23vBrMsk8C9OL5NJrmzRJskQ0HqSu9dainmvR2FmL7wZTSze5dwgsnW/u5T61K806bz8d3zQsTr97nt/5B3+M7tN59PN72fnENmL1UcyyyQ/+y2u8862PV7xGkiUauur4K//vX+K3/9rv8PV/9X0kWSJcHWT7Y1089YsH2bFO71lREldFQddDEEWcK/pZX+LS+3aXjK+uvCZJskRdW5y/+du/zsi5CY6+eoqPXz7O9//za7zzzY/5rX/5lzjw4u7LLsRLi3/tO5v42j/84poRL1VXqG6sumJcSy9cGsuKfsJ3uFf1poAFWqojtMWjfNA7ytvnBnlp71a8uopARVD2Ty1wbnx2TWffWyHk1dFkiXzZIFdcGbV45UQvw/OLmPbak/O+qQWS2SJt8Shhn36Vd9zGEQ/6eGJbK68c7+V7n5yls6aKgK4hSRXr86nFLN87fA7bcXhsayvx0OVVpLJpky2WqA6tXFkShKV0bEFc4bx8u2SXaidCvpU32kvHk4TbS6UUl/43V5rmmxN/xGxpakPE6yUs1+JM+jiyIPN8zRdo8DZv2L4/LRTsPBcyp/n2xB9TsHI4XNtp9FZJm4u8Mv0dsmaax2LPElGrrv+imyBhzPHBwpt8uPAWRbtw/RfcApZrMlUc4w+H/iO/0PQbbAn04JE21kTkfOY0r8/9iMnC6Ibu18XhnblXwXWX07k3+dnFsR0Ssxn+27/4FlPDc9eMOvpDXg48t52nv/Iw3ftaUTUFURYrpS6V2S+wNNl1XB56pgf7N58iOZPm7e8e4d3vH2NiYHbdibBRMjn1QR/f/a9v8jf/5S8uu3DeKi/88mM8+4uP3FId7G//nT/k1PsXKebXznroOdDBF//q02zZ07Lm8zeKJIkrTF5uhkDUz6HP7+XA86vrCdfjyOtn+fEfvcvZj9deFPMFdA59fg+/9o++cEtjWgtJFldF9Da5/9B9GrpPI5fKYxnWisheMVcin779+6lRMvjpn75PIVPk1/7pV3jsi/vRvCqCKLA4m6a8NNe8mnyqwPE3zuANePj7//Wv07azGUWTkWTpls+fq4nVR5gZmaeYW50lWsiWyGcK+IJefOsYaTVtraOuPc7TXzvIkVdP8ef/5vv82b/6Hjse37osYH1BL76AB0mW2Pvs9qXPeOV1ToAV175gxI9rOxRzJRzLWZHanV7I3rKL+Y2wedZSEZS7WurY0TTF6dEZ/tnXX2V3Sx2SJDI4k2AqmcarKZSvskJ3HIf5bJ6FTJ6SYTGXzrGYK+I4LucnZlFlCZ+uEvBoVAd8BJfa3uxrr+edC0McG5pAFAQOdDbhui4DMwscHZxAkSTCvrUnbrtb6yqpuOeHODE8VTFgouIKF/F7eaijgSe3tdFSHb0to1+frrKrpY6vHtzJ66cH+Lc/fJcdzbVU+b0kcgXOjs0yOJvgiwd62NVah38ppcDF5dz4DP/2B+/SXhulqSpM2OfBdV0mkxlOjUxhuw4v7OxCvsIYynFdUvkiM6ksJcOiZJjMpnOYts3QbJJP+scIeDR8mkp10E/IpyMKAq7r8IMj53jr3CBt8Sj10SAhr15ZeJhOcGxwgljQx972hlv+LFwgZS7yw6m/YL48i+WuTCeXBJmwEqXJ20pADuGRvciCjOmY5KwMCWOe0fzgNetkbdfiXOYkVVo1iqgQ1+tuebyfNvJWlvOZU7w6/T3yVvaaq3oiEvWeJuJ6LQE5hC55kASZslOiaOVJGPNMFsfW3Y+LS97KcTj5Pg4uT1a/QEgJb8j7SJTneX/+DY4tfnRN8Sog4JF8NHiaiGk1eCQvuuTBcR1KTpGcmWG+PMtEcXTZnfhqbGxS5iI/nv42L7o23cGdGyJiLcdivjzD67M/YqY4ec2FBFEQqVLj1OmNRNQqvJIPURAp2HkKVq6S9lyeoXhVGr7pGhxd/IAGTzOGc/utQDZ5cEnOZfjOf3mdsb4ZjGv0PW3d1sCX/6dn2PFoJ5GaEJ6baH2jtih87jeeoHNnM69/82M+/snpdXsXphM5zn7Uzwc/PsFjn9+LJN36TVbVFVRurcZbVqRrvj9JEdG96j2NLIqigKjJNzWB17wqkrx+BpIgChWTn82I6c8c0dowDR21nHr3PMffPMveZ3YsO4NPD80xen7yto/hui6lfAlVVwnGAniDHgRRwDJtMskcvUcH13Q8L+ZKXDw6SKg6QCgWJBD1b2iaO8COQ1uZ6J9m5Nw48xOJ5Siobdl8/KNjZBI5uvd3ULtUh3ql0BYEAUmWkGQJuTZMS08D9R21DJwcWdFGp74jTktPI+c+7OPIq6c59KX9q87HqwV887YGAlE/kwMzDJ0dY8veyyWRvZ8MkJrPELuFLJMbYVPAUhF/O5pr+drje3j5eC99U/OMzi/i01RqwwEe39ZGMlfgJyf6VrzOsGzeOD3AG6cHsByHsmkxkUhjOQ4/OXGRjy6OoUgijbEQn9m1hSd7KsXa7TVVfPnAdl4/3c/FqTmG55KosoRfV3lhdxe24/DW2ZXOfZcE3tvnBknmitSE/MRDfhRJwqVSkzqbzvGjoxfIFsq8tK+b9ppbb5wtiSLVIT9/6dBuIj4vJ0cm+bB3BNt1kQSRkFfnFx7dxWf3dFET8i9HpwVAUxTCPg99UwucH58DoVJTKy/VxX5tWxvP79qCcmUjaMvm6MAE3/jwFLbtYDkuYwuLlE2LD3pHuDg5jyJLRP1eXtjdybM7t1TaAQkCAa+OgMCpkSmODU0iLjkri4JAd2Ocg13NPNp16yvRZafEVHEM27VX1Pn55SCtvk62BXcSU2vwy0FUUUUWZUREHCo1myW7SMpMMJTr43TqGClzEXeNiX/RLnBi8TARpYqgEt50JwZMx2Agd5EP5t9krjyzpugUEAgq4Yohlm9LRSzJflRRRRJkRAQs18Z2LYp2gYyZZrI4Rl/2LGOF4VX1py4ui0aS06mj6KLOU/EXUQTltqL4JbvE4WSlbjdjptbcRhQkGj3NbA3spMnTSlAN45G8yIKyVI/rYrk2pmNQsPOkzCSj+UHOpU+waCRWiUkXh5nSJB8svIkiKnQHdt1Wy6CKY3KWN2d/zFRxDNNdX1x2+rfRHdxJg6eZoBxCk3RkQUGgknFguiYFK8+imWA0P8iFzCnmy5eNIdJmCsMxNk3NfobJZQpcPD7CBz8+QSlfZq11K1mVae9p4Kv/82fY9VgXwagP8QaNCpf3oUhEa0LsfGwLii6jqDJvf/fImsdzbIeZsQVe/4uP2fNkN76g55ZrRDfZZJMbp7YtzvZDXZx4+xzf+r9+THo+Q1V9lNRcmtPv9jIzPLcqK8KxnUqv4XyZ5EyKxdk0rgupuQxz4wls26lEdj0aklIReK3bGhk6PcbxN84gKxLeoIepwTmOv3GmYmi6xth0n0b7zhbe+84n/N4/+zq+JeGraApVdRG2Hujg4M/tq9S33uI84uAXHqL38AAn3zqHaVjsOLQVVVeZGpzl9T9+j1CVn51PdFPTUhGwRslkom+Kt77xEU1b64nWhlE9CsVsifMf9zM7Os+WPa0rhHZ9Ry27n9nOyLkJvvPvXyE5naJhSy2yKlHIFJkZmUdRZZ795UP4l3ra9jy6haM9jVw8MsAPf+enPPK5vXj8HiYHZjj9Xi+5xTvgFL/EpoBdIuzz8HBnE2GfztBskkLZQJVlGquCdNRUkSsZ1EeC7GqpRVo6SURRpDUe5eDWa4ujiN+zIsXWp6sc6m4hHvIztrBI0TCRJYlYwMeullrKpkVTLExVwLucamvZDq+e7OPd88P0NNbwUEcjsYAXWRJxXbAch9lUlj959wRHhyborKuivSaKR5HZ39GIJIrsaq4l4FkZ2ZVFkS11Mf7qcwdorApRfUULHlWW6Kit4ksHFLY1VjObzlE2LTRFJh7ys6U2RmMsdFU6sEBjVZBfe3IvM+kc+VIZ03YqfcM0lXjIT3tNlIboSkdgURSoiwQ4eB2h6dUU6iLB5WMKCOxrqyfo0VjI5MmXDWzHRVMk/LpGU1WI1niUqsCtR59s1yJv51Y8Vu9poie4h23BXTR6WvDK6zutua6LQwd1ehNVapzjix8zURxd07hnvjzDhewZ4no9WwJrF/7/LDFRGOV0qlKbupZ41USdRm8ru8P72eLfRo1eXxFK17hJ2K5Ns7eNBk8T5zOnuJA5TcpMrtjGxWG+PMup1FHieh27Qvtv632cz5zkbPoEifL8mu/DLwfoDu6kJ7iHNm8nETWGJK6/guu6LrZr0+RppVZv4Ez6OKP5QQpX/U4d12Y4308kVYVfDv3/2fvv6MjS9D4TfK4PbxDwHolMpLdVlVnesrqru9mGRXZTJEU2RY0oSrvizo52drW7czQzZ4/2SDtnNGeP5ow4ErUS2Wx6190k21R1l+kyWVnpfSaQ8N6Fj7j+2z8CiUokAkggE+nxnFOVAG7Ejevi3u/3ve/7e+kMd9/2PpS9EtcKVziXPbViNoEu6+yPP8W+xJN0hrcS1eKrmmHZvr2wD82czZ6gN38RT3gIxG0bpG3yaDA1PMeHf3tqxT6piipT31rD137zVZ54ZReh6J25h4djQXY+sQWzZDPaO0nfueqOpmbRpvfMMGc/vMqhl3ZuiHnMJptssjqRRIjdz+3g1V96juM/PMOPvvU+4VgIPaBT11rDziPb6D09sOQ985MZjv3gNL0nByjnTSaHphG+4PhbZ5nonyIYDdK5u42Dr+ymY1cruqHx3NeeYmpklv6zw0wOzhAMB5BVGd3QeOkXnuY7//5HSz4jN1+g79QgkwPTtGxtJBQNoGjKQjTX4tqZQfrPDhEMG+x5bjtG6PaMCVu2NvK5b77Ex987wbXTQwxdHEOWJWzTJhwP8exXn2Dn09s+ux8tmN/1nRrk2pmhRfMzIcBzPLYd6uLlbzxDIPzZ9oRiQfY+v4Ny3uTY909x9O9OVkzOrk8KCtiyd2mJW21LDS/8/GF832fg/AjTI3OEogF0Q2f3sz2kpzLrnlRcK5sCdgFJgljI4MnuVp7sbq36mu0tSy2idVXh2e0dPHsLAVuNVDRMKhrm6Z7q9Y6d9Uujp67n8YNTVyiYNk/3dPDSrq5lLXF83+e9iwNcHZ9ZNJ0K6Br7OprY11E9JVVVZLoaauhaIVorSRKttXFaa9fWgkaSKpMBz+7oXNPrr6MpCns7mti7wnb6wqPkzpO2h/HFCLN2lpTRiSYHaatN0FabWNfn3Qm1ej2Hks9wKHGEukDjLV8vSRIKCk3BVuJasmIINeczUhpYJmYEgqHiNfoCl2gLdT7WUdiim+dy/hxX8xertmbRJJ3O8FaOpF5kb/zQmo+VIinUGLXEtMRiiu6x+Z9ScJcaKnnCZcoc55O59+kIdd9SjFWj0iM1y6fzHzJtTuCxPDUxIAfZG3+Cp1Mv0RbqRJP1KmtaiiRJqJJKU7CVlFFHYuG6upq/gOktNUCxfYur+QvU6LXUGfWE1ei69gGu9z2e42T6KMUVjKcMOcC26E5eqv88zcG2Ne2HLus0BSspxgk9he1ZjJYHN1OHH3NKeZOBC2Oc/umVFV8Tq4nw9Of28ewXD6Abd5YhcZ1QNMD2Ax28+LUnGbg0hucuz5QRQlDMlXn3r47Tc6CTwDrSle8pD+AmbbLJ7SLLMs1d9XzxH75KbXOS8b4pPM+nvi3Fnud24NgOze810LK1cTES6/sC1/HwXA89qNG+o4X2HZ+Vk/mej+u4i26/iqaw/fBWvvAPXuHqiX7mJ7PIikRDey3bn+omVhvDMm1SzclFQ9Oxvkne/bOPKWSL/Oxv/gx1rTVourboaHzpk16+/5/f5cPvHGfrwU6MkEFzdwPP/OwTRGuW9/MNRYPse34H7TtalpglKarCk6/vI1EX49InfUwOzuC5LtFkhJ4ntrDn+R1LWtaoukp9ey0vvHmYqaFZirkSwhcYIZ3alhQ9h7rY9fQ25Bs6iEiSRH1bile+8QwNHbVcPTFAdiaLEIJAOECqOcnW/R0EbhDhiqpw4KVdhGMhLnx4hdnxeRRNoa2nmcNvHCBWE0FWZZINt9fGcjU2BexDghAwlSkQDwcI6tVt33NlC8txK4LpEbOFL7pzjJfOMlm+iCrrxLRm4loTmnxvBZ4maRxIHuFg4vCaxOvNhNQw+xOHKXklck5mWeQPKi12hkr9TJkTdITX1ifuUWSo2E9f4TKZFVrlNAVbearmefYnnkJfg1i6GVVWaQ628VztaxS9AifTR3FuEk6mX6a/cJULudMcSj697jpSx3e4kD3NULEP01/urCmjsDW6kxfqXqc50IpyGym+umywK34AAVhemav5i8smRubtWXrzF+kIdbMrvn/dn2H7FpPmOFdy56ouVySVhkAzL9e9QWuoA0Va334ElCC7YvuwPJO3Jr/LpDmOX0Xsb/J4MDk8y8Xj/WRmclWXq5pC29ZGPvfLz6AHNka8XqemIc5Tr+3m+9/6KVMj80tqxK7jWC5nPrjC3GSGRF100wToMUIIgeN7XM5OUXQrz4saI0xHJElAuXd9qz3hk7HKjJYy2J5LRDPoiqQwlEe3FZ+qqzR11fPVf/r5qsv3v7Rrye/1bSm+8luvr3n9kiShKBJPvL6PJ17fV/U1v/U//eriz57rMdE/xYWPrvKF33iFZ7/8BPoNLWZ830fVVd7/i0+YGppZnBDbeWQbO49sq7r+RF2Mz//6y1WXaYa26ntvRFEVUk1JvvSPXrvla29EkiQiyTCH3zjA4TcOrOk9gXCAvc/vYO/zO5Yt+/I6jv962bzrPiRIEtTGwkznCoync8wVSgS0ikOYL3wc1+fDy4OMzGaoi4VpTm78bMf9QgififJ5JswL9MRepTm0975sh4REfaCJQ8kj1BnrF6/XiWoxdsb2MmtNcXTuvaoppdPWBL35i7SHuh7Zh9FquL7LxdwZxsvDVZfrcoAnks+wJ37gtsTrdWRJJmXU8UbjzzFUvMaMNbmsPY/pm3ww8zY9kV0YcmDNrXWE8Cl6BT6aq+44LCER0aJ8rvGrNAaab0u8XkeRFHbE9lD2SoyVRyi4ywf+4+Yo57In6YnuQpXXN9Cat2fpL1zFXCF1OK4m2B3bz/bY2h1Hb0aWFJ6oeYaBYi95N0fezd72ujZ5ePF9wfCVCS592r/ia+KpKNsOdtCxvXnDP19WZGI1EZ56bQ8//MOPsMrLswGEEOTTRfrODtPQniJZF9vw7bhj7m4Hi8cWAaTtMv/dib/lcrZSt/96y3b+xb7XaQvfHbOaahQdm/cm+/gPlz9kysyzO9nEvzzwBluitaiP4ZjhfiB8sdC+RsK1PUo5E3/hd9/zKeVNJgamyc7l2f5k97KsyU3ujE0B+5CgKgpfPLSD//LOcf7jW8c4eW2M7S11KLLMfKHExZFpTg+OoakKP3dkDwe7Nv7Bfr9whUXZTS+k4d7+APlOkSWZp2qeJ67dvjnWdZoCbWyL7uJM5hilKuJm3p5lsNSHj/9Y9oWdssYYLQ8uS+u9zvbobrrCWwkpy1Nw1ouMTFxL8EztK/xk6m/JOuklyz3hMloeYrDYT1iNEFLX9pmmbzJaGmS0NFjVrTeohDiUfJrGhbrdO0WTdNpCnexPPMWHsz9etrzo5hkpDTBaHl53LeycPcO1wsrpnLWBBg4ln173NlfjYPIIY+Vh8oVNAfs4YpUtxvqnGLk6seJrWrc28OSru+/aNoQiAQ6/vpef/MWxqgL2OldODrL32W0PpoDd5JFmsDDH0elB+guVDKVjM0OcmhslZYRJBVb25Nhk41A0hbrWGmpbknz///cTNEOlc3criqqQns5y8eOrnPrJeTRN5fPffIlg9PEtCbsb3FcB6wmbrNXLdPkYWfsaJW8ax8sjcJElDU0KoytxIlo7SWMnNcYewtr624uU3RlGCm8xVnwHXzjUBHazO/lbaHIYaY3RlPuNpsh8+cmdhA2Nn14a4OLoFJ/0DSN80DWVZCTA5w9s55U93expbyASuL1C8QcRyyvgCou0PcIH0/8bll8gpjayO/mzhNWN7dO5Gpqksz26h5ASvuOoqCIp1BuN9ER3czrz6bLlnnDJ2mnGSkO0P4ZpxFdyF8iu4NYLsD/xJA2Blg2JTkuShIrKk8lnOZU+St7JVhWcF3KnaAt3rFnAFhba/6zU9ieiRnku9Sq6vDE1dJIkUWs0sDf+BMfnP8Dyl/eIzDkZLuZOr0vAOr5D2p5lyhyvujyqxmkLdlJ7B1kJwKLjcFuwizqjgeFS/7KU7geV4dy3mS1/QE3gMK3Rr6PKdz6x8rgy0jvF6LXpxbq0ZUiQakywZeftt0a7FVpAo3174y1bYQxeHqOQXV4asMkmdxsBy54tsiQ9dBlbOdtkrJTFFz71wSh1gYfn3ilJElsPdPHr/+M3ePvbP+Xj7x3nrW+9j+t46AGNZH2cZ778JM9+5Qm6D3RslhpsMPflaPrCo+iMMJD/LjPlE5jeHI5fxBMWQjgIBBIykqQgSxpz5nlsL0NQqb8tATtnnmWi9FPmrfMgBJaXpiH4NHXBJ9CkO++NeC+QJIlo0OCFXV3sbK0nV7awXQ+EQFFkDE0lHgxQFw8T0vWqNbIPK5WWMxJxrZmd8c9j+2XOZ75L1h5Dl0P3pA5WlTQagy3EbsPIpxqSVGn90h7qripgAUpekdHy4yVgrz+Q+4tXKTjV69/qjSbqjMYNNriSiKhR2oJdzFkzVdNXrxUuk3eyNBhNt5z4EghKboHewuUV3ZMbAy3UGvXIbNwkmiZp1Ogp2kJbuFblswtunr78ZbxGD5m1WfpnnTSz1vSKbXOSeoqmYOsdtei5EV3WaQg0k9CSS1rrPMjYXgbLncb1V+9TvMmtGR+YZmq4et07QCIVpbE9RTh+957dsiwRjoWobUpSyJZxq/R+BJgYrJij+L7/4LXTeXSGAJtUoSWUYH9NCydmh0nbZfYkm9iVaCSiPlzBi+Ozw3xv+DyyJPGF1l38TMv2+71J6yIQCdDzxBaSDXGys3kcy0H4AllVCIR0YjVRapoTS2pjN9kY7ouALTgjDOX/luHC9ym70zctrdx1BR5CePjCxqWIJKmo8u09sCwvg+Wl8RcGYLafwfYyCPHwmYTURELURB4O0b1R6HIYXQ6hKxFqjC5cYeP4ZVxh37PBoiZrtAQ70GR9w2Y4w2pk0a21WqSp7JUYL49uyGc9LAghyDkZZq2pqq1aJCS6wtuIqrE116KuBUmSKuuObKO/eKWqgK1s1zQtwfZbRmFtzybtzDFvzVRdHlGjdIS3rrsW9VZIkkRIDbMtuouB4tVl9byOsEnbs8xYk9QZDShreARknXnm7dkVlyf1FI2B6s7tt4MkSdQbTSS0modGwNaFXiSibyWoNqNID9cA8kFjcmiWmfHl5nbXqWmIU9eSRFHvnmCUJAlFVahtTjDWP72igC3lTXLzReyys6QdxSab3G0SeoAXGrtJGiHKrk1TKE5npAbtQZtIuQVn58c4NT9CQg+RtpeXUz3oyLJEMBJY4m68yb3hngtY1y+Tti4yWnhrUbzKkk5C7yGitWMocWRJQwgfT9i4fhHbz1IXOERQrb+tzwxrLUS0NorOOOAT1TqJ6h0oG1B3tsndR5ODxPUWyl6W3tw7CHwCSoygkrhn51CTNJoCLRscLdOJaQliaoJ5e3l/UMs3mbZWrgN7FPGFx6Q5RtkrrTA5IdER3kJgnW7Aa6U12LFimxkfnylznLybv6WALXtFZq3pqr1+oTJ50RbsvNPNrUpADtIZ3oqEDFWcfC3fYrg4QFJLoSi3fgTknOyyuuDPkBbaEd3evXklknqKqPrwGNHFjb3EjftjLvco4dgu85NZcnOFFV8Tq4mQuAc1p5IE0UQYdRWhLIQgP1+kXLI2Bewm9xRVVuiI1NARuXNPjvuBEAJX+PTmZsjYZRL64xWY2eTOuecC1vRmyVhXKLifNQmvMXbRGf0KdcEnCCp1KLK+IGAtLC9DyZ0iorWgy+vvXwiQNLbTGnkNXY4j8KkxdpHQtyNLmyH9hwFZUkgZXbi+xZR5GQmJtvCTRLWGeyZgFUklZdQhb0D68HUkSUKXdWqNetL27DLB5vgOWSeN6zso0qNrjX8jnvCYMEdx/erCTwLqjWZ0+e4MFpN6baXGGamqgJ61pym6eWD1UobSgoBdCUMOUhdouNPNrYoma9QZ9WiyhustP46ucBgrD7EnfnBN6yu4efIrpHNrkkZEiRJSN9Y0JKYl1lxr7AubsjtG0RkkbuxFCB/Tm8TxMgg8FClIQG0kqDYjSxo35lYK4eH6BUxvCsfL4okyQrgLGT8RDKWOoNoMkrxYowvgCQvTnaJgX12yLSGtnYjWjVTlPmF7GcruMJ6wieu7Mb1pLHcKV5SQkFHlMIZSR0BtWtjOx49CpkQuXcS2qkc8ASLxILHk3TepkYBg2EC+hXNoIVda1ejpvrGZyb7JA4wAZswC46UsJbf6836TTVbjngvYojNO3hm64S8y3bGv0xh6Fl35bFZVkhRUKYQqhwhrd+aoayhJ2iNv0B55447Ws8n9I6ym2BJ9ji3R5+7L5yuSQkKrQd5gEalKGkk9VRGnNw04BD6WV6boFYiq8SUD6EcVH58ZcwpXVB/AKpJKUq9B2+DU2+sElAARNYouG1VTmNP2HCWveMv1mF6ZjF09DVJCIqAEiat3p+WCLCkE5RBRNYblWcv6qXrCY8qaWJZevBIlr0jJq+4GXXFlDm/4tRlWwgSV4IoTCTfi+kWmim/Rn/mP7Ej9C3xhMVc+SsG5hu+XUOUoqeAztETfJKR2otww+eEJk7R5gunSjyk6g9jePL6wkSQFQ6mnJvgULdFfIKA0IN3Q29bzi6TNE/RnfgeBtyh+O2K/yrbkb6NIy+uzi841hnJ/QNkZZ3vNP2em9D4Z6ySWNwtIGEotycBTNEV+lqi+dcOO5cPE3GSGUn51UyTX8ZifztF/4e6WV7iOR7lo4furX39mycJZIcV4k002WY6g0sf23Pw4eWe52eAmm6yFey5gLS+N6V03aJDQ5DA1gV3oyu1FVzfZ5F4gSwpRLb6QlrlxqLJKUkutKAB84ZNzsoSV6IbWfD6oCOGTceaqiisZmZgWX1cv1tshqiYIKeGqAjbnZLC86r1Qb8TyzRX7mOqyQViNoCl3LwNElmRSegMZJ43t3yxgXeatmWXCthpCCCyvTNmrLirCaoTgXUjnVmUNQw6gStqK5lHVGMr9ASAIqs3Uh17B8wvMm8cZyn0bx8vQmfiHRLRti9kMrl9govh9stYpIvo24oH9KFIQ050gY55kKPv7eL5NV/zXMdS6G7YvRl3oRUJaK46XZ6zwl6TN42vaxpI7yNX5/4WSO0xt8HlqAkcwvSmy1hlG83+K6U6wt+7/DWs02XqUyKWLmLeIZh794VmO/vDsPdqiW+PaHr67gmPyJo8VQlSm21zh4/k+AoEQlQmQ6z4LiiShygrSwt/Wsk5fCMpVsmluJqhqyNyZE3FlHwSuEPjCx1/YJxb2A6kyWpElCRkJWZJRFj5vpc8VQuBdXx/X98fl05khCgsC1hMCy3MXf6+GLElosoImry0TTgiBj8DzK/vhr3A+FElet4OzLwSO7+H4HvLCOdWkyj37xmO45Dq4fuyQkFf4XE/4OL6H6/uL+xxQtDVfLzfut+m5i/uryjKarKA8QuPIey5gPWHjLQwMJRQCSi3SZjvaTR5wZEkmIIc2PNIkoyykX64gYPEpuYUFJ+ZHHx9B3s1VF7CSQkSN3fVBfUAJoMnVxWXJK2JXaU9zM45vU14hUqvJ+l0RfTciIRPRIlVrtn3hk3Mz+OLW15QtbGx/ZbM0Qw5iyIE73t5qaLKOrhg47toFrOOl6U78E+rDr6JIIYRwKbkjnJv5vzFdepea4NME1WZUqZKerCs1bEv+NpKkoEihxRRjX1hkrNOcn/nvmCm9TWv05zH4TMBKKOhyEs04gECQMY+Tk86vaRtdv4jjpzlQ/78Q0bciSwYCn+ni2wxmf4+8fYm8fYWI3vPYPRsLmRK2+XClE7qOt3LLn/vJ4zX3cV+RKn0z8IRgopzlnYlePp0ZZqSYJueY+MInrgVpiyQ5mGrjtaYeWsJxtDWUJLnC52J6kn/80R/f8rX/4bm/x65EI+odlDp5QjBUmOfozACn58YYLKbJWCVMz0FGIqjq1BhBWkIJumO17Es2s7emhYi68oRs2ipxOTvNlewUg4V5BgtzDBXSpBfWC9CXm+F/Pv8T/tdL76+4nrZwkp/v3M/f2/LEmvZFAL3ZGY7NDHJ6fozB/DwZu4yPT1QL0BpOsi/ZxNP1XexLNi8K8bUwVszw7WvH+evhs9QFIvxi10G+0XUIXVERwGBhno+mBzg2M8RoMcO8WURTFGJ6kLZQgl2JRp6sa2d/smXJ517JTvOtvmO8M9GLhERTKMbvPPuLpIzwmrdPAOfTE/yLT79Lxi4hgM+37OQbXQfZnVx/J5cHlXv+dBTCxadywUqAIukLP23ebTd5cJGQ7kraqiRJaKvUYgshML3yY9OaQwhB2S1WFewSErqi3/VUak3WUKXqt0bHt3GFgy/8VaPArnAxV4haKpKCerdrHCXQJaNqux+BwPRMPOEhhFh1QqCyvyunR6qSirLCsbpTVFld9btRjbixl6jegy6nkCQZIQQhtZ360M8wmv9zcvYl4sZeIgspuhIqAbVpIbPis5lwIYIE1WaCWgsFuxcfe6G9242RBmkxI6NS87q261KTYyQDTxAz9qBIgcVzFNa6iOhbyVpnKLtji9v4OFEumg9dOu71CMcmjy+KJFNwbD6ePsufDJxkxsyTsy0s312MwM3IRUaKGc7Oj/HW2GV+vnM/LzVuoz64eq1/xezIY966tUOvK/w7GikMFeb5u5GLvDvZy1Q5R8GxMT0XT3j4C9e5LMmMlWSuZmf4eHqQsKbTGIzxj3qe5XBdB7qyXDyfmR/jzwdPcy49gek5WJ6L5bncuLWe8Cm6NsVVJiyjmoG5xnrZwcI8fz10lqPTA0yUchRcC8tzcRfOx7RUYLSY4dz8GG+PX+VQbRvf6DxAd6x2TRlenhAUXIt5q4SExEQ5X5mAty3+cug0P5m4ymBhnrxjYXvuYqRWKeUYzM9xPj1BzjE5ULPUwb89nKQ+EMXyXIqujS983pno5Yttu4iucbI4bZW4kJ5gqDCPuzBR3RWpoSH4aGW63lMB6wsPHxexZOZ/U7hu8mBTSTNR7kraqrwgjFf6FlTSUJzHaJAksIVddX8lSaqIsrt8z1AlbUWzrsr5cPGFt+r14At/lTpeBW2DeqauREXsG8grHCsh/Mp1hY/EyrP11/d1JRRZ2ZC+yNWQWf+6g2obmpJYFIWSJCFLOjFjF0rBwHTHsf3MkvcIPDLmSQpOH6Y7hesX8IWF7WcwnfFK+zXhV6a1N+DSU+UIEb0HRQoumTxQ5DCakkAID8fPPjaTVjfiWC7eZjruJg8ZWbvM0ZkB/nzwNH25GTwhiGoG9YEIqixTdGzSdomCa1FwLWbNIrbvIoAvtO4iqq1sSqjIMk2hOP9kx/OUXIey51B2bTJ2meFimqHCyi2n1sNEKcuf9J/krfHLjBWzuMJHRiKqBYjrUVRZxvE98o5F3rGwPJOcY8JCRY0nfBS5+g0yqGo0BGOUbhCnnhD052eZt0q4wies6jQFY6uKrIZgjOZwYtX9cHyP3twMv993jE9mhpgu53F8D0WSCKsG8WClBClnmxQck6JrM2+VmCrnmSrl+Oa2w+xKNBFU1z7J7PqVCYaS6/An/Sf5wehFBgpzmJ6LIknosoqmKpRcG0942L5HTAsQUpe3ZQyrOjsSDfTE6zk1N0rJdfi70Yu81LSViBZY0yNoopzj5NzIonhtjyTZGqsjri/3ZniYuSujqJIzSc4ZwPWLuKKM65dw/TKuKDNvXsD2K7VhAh/Tm+Fq9g/Q5JVnoeoCB0kYOzGU1dsq5OxBZswTVXrLLkWVAnTGvoYhx6q6Ra4X1y9TdqfJOYOY7gyOX8ATNmINNWbX0eUo2+K/suxiztvDjBXfwRWV2beQ2kRD8PCaja1sL89k6QPyzsiCI2eAuuAT1Ab2rfq+ojPGWPEdbL9i3tIeeYOI1oYsqQgEnm9RdMfI2f1YXgbXL+LjIqOiykF0OU5IbSSitaIrCeQ1RmkEAl84FJ0xis4YZW8ax6scTxAosoEmRwkpDUT1TgJKaokpy92iWiRrQ9aLvBCNW1nCrtVs51HBFV7VwXslCq5X+lvcRRRZXVU4Vep4Vh9k+/grnjdZUu5a1PJGNFlb9Vh5KxznG6lMOq68r5WJnbskYCV53ZNGqhxGYmnUVpJkDKUOSVIq4nShhEUIH9ubY7z4N2TME/jCRZGDlagoKjIq3I1JK0nHUOqW/b2ShKgu3gM3SjA/TLiuh+9vCtgN4fGb/7hv9OdnKboW13KzbInW8kSqjfZIkpgeQJFkSq7NWDHLyfkRzs9P4AqfS5kp3p/sozNSw+G6jhXXLSNRa4T5etfBSuTSr0QvJ8s5fjJ+dcME7PtT13hvso+hQpqgorE9Ws/hug6aQ3HCqo4iybjCp+Q6ZOwS0+U8o6UMA/k5DqVaaQhGV6yv3BKt5cvtKrkb6lsdz+Pb1z7l1PwYrmuTMsI819DN841bVtzGkKLRHFpZB7i+x2Q5x7f6jvHj8avk7DIBRWN7sp4DNa20hRNENQNJkii5NhOlHOfTE1zKTDJt5nlvsg8k+Mfbn2NrrA5jDW3moBL5nizl+MHoRf525AIzZoGeWD098XoagzHCqo4kQdG1mbNKjBbTpIwwOxINy27xkiSxI97A3mQzp+dGsX2X8+lxBvLzxLXgLYW15/uMFTOcnhtb/NtTte00hmJrrh3eaLJ2gUu5Ya7kR6jRo3y55dkNWe9dGUWl7csM5P66ImxEEccr4PjFSouCGwZDFQE7R1929dx+kfgHhLWWWwrYgjPMYO67zFur1yLpcoLm8EvocmTV6MOt8IVHyR1n3rzIvHWOjHWVojuO4+dwfXNdAjakNrMt/ivL/l5wRujN/iGmNwtAbeAQUa19zQLW8QuMFN5msvwRvrDR5QSKZNxawLoT9Gb/mJJb6UMa17sJqvUIfErOJHPWWebN86StS5jeLLafxxcOsqShSWEMNUlU66A1/DPUBZ+85bkDcH2TsjvJvHWJOfMceWeAojuO7WXxfAskgSoF0ZU4YbWVhLGdGmMXSWMHQbXxrg2kgbs7GHjMBqm3QrrfI68N+Phbn9J7cdJv8RkbENWX7mo8/HbXfvN+SchUUnxvFOyunydtnWAo+3uocoT60KvEjN0YSh2qHKbsTFByR7C9jRkgfrY1SlWX4k1A+GJDrstNNrmXTJbzZG2T7fF6fqHzAC82baUx+Jlg8IRPxirzwdQ1ftf9mIH8HLbvcT49wcm5EZ6qbV+xlEOSJHRFpfWmyONkOUdvbuaOt/36t+2nk9cYL1WCS+2RJD/XsZ8vtu2iNhBZ9nrTdZgs5xjIz3EpM8X+VDONq0RO64NR6m9aXnYd3h6/giZVxpgRzaAnXsdLjbdfOpG1Td6b6OP7o5couza6rHIo1cYX23bxbH0XTaH4kk4Sc1aRk7MjfH/0Iu9PXiPnmLw9doWuSIqYHqAtvLZOAbbvMViY44/7T1JwLZ5t6OLFxq0cqGmhORTHUNTFvrczZoH+fGU8vyVaW3V9zaE4uxIN1AUiTJsF8o7FJzODdESSBG/RHz1tl+jPzzJWygCgSjLP1HctO4/3Csd3uZgb4rtjH3E600dXuPHBFrBld5o582xlFvkGFCmAj7vw9+tfGwlFMlZ1d725d99KKHKQoFpPyGtaqLX1EMLDEzb+OiOit0IIQdEZYaTwI4YLPyLvDACVmipNDmMoiYWZdHtBzC5NJ1SkAOrCbL8i6YTVlg3btruB7WVx/CKOl2Wk8BaDhb+h7E4te50vbFyKlL1pMtZVoloXNYE9wOpfOtcvkbX7GCu+w3D+h5S95etGgC0cbD9HwRlhqvwxMW0r7dHP0RJ+hYjWvuZI73oQVCJq1we/GzlkF/g4/o3fh5uRFqKBj4/KVSWtavsUgagcq7s8wPWEu2rUW5bkquZINyIhrxjF9YW3al3pRmF79qrHSpG0W7pqy6y+r2uJRt8+Yt1ptK5fQNz03BH42H4WgYcqhRf7f1veHLPlD7G8WZojX6Et9ksE1YrBhRACBMvWtWE8Pl/ndSErt3ZeTjXGqWlIICsPxkFsbK/FCG72lH+ckaiItJ/vPMAvdT+5rN2eIsmkAmG+0LqL0WKWP+o/zrRZYGpBBJqeQ3AVE6S7yoLL8Fgxu5ji2xVJ8XLT1qqiR6KSEtwVTdEVTfFqc8+93d4VcH2fkWKaPx88Tdm1EcCWaIo3O/fzevN2AlUilykjzKtNPST0IHnH4r3JPlzh852hc+xJNlMfiK4pCuv4HmOlLKqU50ttu/nmtsPsiDeiyp89Oyt+JwrNofiqUWQAQ1HpitZyMNXKD8cuA5UJhhcbuleNdAP05+e4mJnEEwJFkmgKxdmVaCK2Spr63WS8PMvRuYtcK44TVjfW8PGuCNigUkdt4MCiWdONlNwpis4YnjABCVUKkTR2rJoGGlabUaRbH/yo1k5n9EvUBvbj+AVsL48jihSdUfL2EJZ/40z6nT38XL9If+6vGC78ENObWWxEH1KbSBjbMZQkQniU3Aly9gDlhYb1i/uktZIK7CGmbSGo1BPWHmxnMMvLUrCHGC+9x0DuO3jCRJWCyJJ+g4GJQAgfXziVcy8EqcAeNHn1wnFfuKSty1zL/TmjhbcReAsCIIgi6UiSuhhd9UVlAsQTJp6wyTl9XM1MU3Kn2ZH4JqGFAejGOtUK/OuGN0gbOvj0Ebi+vYp8lVBl7W5nzT5AVNKEq/bFFQLbt+56baArnFUFrHLD9bgSsiSvaNTkCQ/Xv7tOqwKBIyxWsvSQJAlVVm85GaNIyqqvcW8h9u8EX3ir1t9Wo+yO4fg5hPAXTZyEcCk4vfjCxlAb0OT4wvotLHcWCYm4sRf1hjIWgVupgXUn4TFxAH8QUFUFWVl9UuX5nz3El379RQLh+zMgu5lgSH9gtmUJj80z4/5jKCo9sTre7Ny/6mFXZJnXWnr4/thFps0CnhBkbZNps0BHpOaebe/NVJ6pnz0rLM8l51j4QiwT4w8qecekNzfDxcwkUBk7vd6yg0Op1qri9TqKLLMj0cDPde7jw6l+XOEzXs5ydn6Mnnjdms+LjER9MMrf3/oU2+MNS8Tr7dAWTnKkrpO3x6/iCZ8L6QkGC/Nsi9cR1aoLQV/4XMvNcDFTCQAZssZLjVtJ6MH70obR9Gx+PHWS4eI0bcE6bH9jxwt3RcA2h1+iKfxC1WUDub/iauYPKLijyChEtFaerP+XhNTGFdd3vXPSrQgq9QRDdbA4xK38f6p8lN7MHzFVPrrufVmJ8dL7TJU/wfQqKRxBtZ6u2Nfoif/ywgy/vPD5grwzxEDur+nN/tHi+wNKkpbQKzSGnuFheNKY3iy9uT9mzjyLJywCSj0t4ZeoDR4gpDahyRE8YVF2K5HXWfMMeWeQmL4F9RbpcgVnhP7cX90gXivtlbpiX6MheISo3o4qhxHCw/IyZKzLDOa/x3T5OK4oYvs5xovvIEsK+1P/zR2lha+Ej4/tWxveMkQIgbNKlEeSJALKxrfveVCRJImQEkZGxrspY0JwXcDeXSrGRdUjpLpsoC1EiFdDlTQCSrBqL1hPeLh3K7J3A5VjVd3N2ZCDazJIUmUddRXDKe82ROZacYSDvY4esABp8wR1oZeJ6NtQpRAgcPwcE4Xv43oF4vpOAguThbKkoyuVFDHbm1sSbS05Q0wVf4grChu2P5vcGt3QUKq4mN6IosqEY0GS9bF7tFWbbLI6jcEYB1NtBJXV6xNlJDrDNQRuuKfavkt+ld6n9wIZieZQgsHCPEXX5nxmgr8aOkN7uFLH+zAwYxY4Nz+++HtMM9iTbKbpFtFOgIhq0B2ppSdWx+XsND6C85kJni52rlnA6orC51t20hiMoW6AWEwZIXYnm2gJxRkupvERfDo7xPZ4/YqtcLK2ybX8LKPFNAABVeXzLTtWbXF0Nzk6e5FP5i6xPdpGQ6CGn86cYwWfr9virghYSZJXSU27+e8SEsqGpH5eb20ASyWhhFIlIndnw+Dx4vuL9aGGkqQx9Czdsa+jSKEbtqUy6I5o7XREv0TBGWay9AkCl7R1kZwzQL04jLJCz8kHidHC2/jYKFKQjuiX6I79PCG1CUUOIKNWoh0Iolo7qcA+OqM/iyvMSp/fVS5YTzgM5L/LdPnYQopfkJrAXval/muCah2aFK6kkEsSoBFU69CVOMnALvpzf8Fw/vsU3XEsL81s+QyTpY9pCj2/4fsvhE/JLaLrG+uC6wmPgptfMaooIxNWIrdM9XxUkJGJqfFKhPMmkecLj7ybu8nFfOMpu0WsFXq9BpXQZxHiVdBlnbASoVqFUqVH7K1bItwJvvDJO7mqvV5lSSaqxpC5dbqmIRsr9sSFiki2/fWJzLXiCnchvX7tqHKYkdwfMW8eI6J14wubtHmConONutBLRI1dqFIYAF1JURM8wkThewzlvoXpTRNUm7C8WbLWeYp2P1F9O3m7d8lnCOHj+gVK7jCeX8YTJkVnGF+YlNwRZssfoskxFDmIoTaiy8m7UtrwKBJJhNCDq4sAy3SwyvZd7wf90LNZSnzPSOohOiM1a7omdUVFk5WFnLVK6qvl3b/WUde3+bWWHgYLc/TmZpi3ivzN8AUuZ6Z4tbmHlxq30hZOrtnU6H6QscsMFOYWf98SqyWur821V5IkQprOjkQjV3IzIASDhXlmzLVPYKqSzMFU64Jh053fmyRJoi4Q4bXmHv5L7ycI4NjMMC80bGVXsqnqfl1IT9Cfn0MAuqzQFk6yK9mEfo/Pmyd8psx5vjf+ITV6lCOpnVi+gyfcDX0WPrhX4wOKEBXjqYIzguNfdwZupi5wCENJLHt9pQWLTkhtoin0EtPlE3jCxfFLlNwJTG+WsLw2Q6b7ieVn0KQwzeEX2BL/BWL6loUevjch6aiEEPL1lJTVe/zOm+dImxewvDQgEdHa2Z74VeJ69/KJB6lSYyxLKpocojP6ZfL2IKY3hycsSu4Eo4Uf0xR6btXPvB084ZN3c8S0xIamYnjCIePMs9JoQ5ZkYlr8vqR/3A8kSSKp11Z16fXxKbg5TK9MVMTummlX3s2tKDCjamxNUXhDDhDTqs/82r5NyS1gexa6cndSD4XwmbNncP3lAyMZhRo9taZrSpIkDDmAIQewFtx7b6TkFih7xQ3Z5hu5Xu/srFMc1wZfRJY0Ss4Qk/b38YUFKDSGv0hr9E3CWtei87wqR6gxnmRL4reYKb/HdPHHSJKKKocJa12k4s9iupMU7P6bts0lZ1+kN/3/RQgPgYflTuH6RTLmKUx3DAkNRQ7QGP4ijeHPL0Z6N1mdaDJ0y3pSq2xjlu7OpMkmm9wOYU2/ZT9XqNxPpcV/pRtyBe//bMOLDd1MlLJ8d+g8A4U5MnaJs/PjTJZz/HjsCt2xOvbXNHMg1Up7pAb9PjnarkTJtZkxP3sWNQVjhFRtzWLSkFXawglkCTwBc2aBwjoi47Ik0xJKbKjTb40R4qXGrfxR/wnMBefpK7kpDpVbaQwuz0A5l55gIF8R8Qk9xLP1XYQU7Z6mgQshKLpl/njoJ2SdEl9reZ7d8S7OZq6tWNJ0u2wK2HUi8Cl7Mwv1rJXoRkBJEtFWtkEHUKUgCWP7DemtAsvLYnmZNTsK318ESWMnjeHnietbbzmLcmM0fDWmykcpumMIPHQ5TtLYSSpwYE2zNGG1hYTRQ9q6tOD+XCBtXcT2c+hybENb3/jCI+PM0xxsvfWL14ErXDL2XNW+pzIyASVISAk/NinEiqRQH2iqpK1WyUx1/YrgT+gpjFukGt4OlmdSdPPYK0RgE3oNQSV0y/UElCBJPVV1WeUeUibrZKhTGu5oe6vhC4+yX6Lg5vCrHERVVqkLNK1pAkBCIqiECCnhqgK24OYpuUUEYkOvUdMrY3qlddfLBNR6EsZBPFHG8qYRwkOVI4S0TiJa9xKvBVlSMdR6WiJfJapvx/EylSwQOUxQbSWotmD5cwTVZgJLSlwUAmoTTeEvrbotkqQS1bejSJUJj6DaRkvkTRw/S0Tbtuz1hlJLQ/hniOk9xIw9j2XUNlkXI3iLetJ8pkRufjO1e5MHB11WCatrn4x8EJ/mtYEIX2jdRcoI8+FUP6fnx5gq5xkpZhgpZujNzXIuPc5Pp/rZFq9jf7KF/TXNRLXAA5ENYfveEsEZ0wPrEpOqLBM3glw/O5bnUvYcHN9b03okCWK6gbKBxyKgVMyy9te0cHp+DMtzuZCeoDc7s0zATpfz9OamF6PGqQXxe6/PTd4t8eHMOY7PX+HVhkMcSG4lroUXCio3BewGcbsnVeD4ecQNAytZ0tHk8OqfJinoSnyJOY0vrAUzq4eDVHAfSWPHhgyshBD4uMybFxeirxBQUsSNbWjyrQUCVFLVQ2oThpKk6I4j8LD9LEV3HFUPobBxqdmucJm1pqqmZN4uFVMimzl7puoXW5U14loSVV57Q+2HHRmF5mA7WrXoPpWvzrQ1QXOwHeMuRC/Tzhwlr7TijTal1xNWbz3THlYj1Bor1/WbfpkZe4q6wMYLWMd3mLOmVzSKUiSVpmDrmnvRhtUoES1G2plbtsz2LYpeJZpsKBtXK1VwcpTcIuvNgxTCJ6i1EFTXNikoSxpBrZWgVn1iyqCOmL7jpvcohLUOwvHVJy1vJqDWE1DrV1yuKXFqlCch8OS61vsokayPEU2EkBUZ36t+r01PZ5mdyNzbDXsYuf+a4rFBliS0OzTteRDYEq0lZYTZEq1l1+wwFzNTDOTnGCmmyTllspkyl7NTfDo7xJnEGE/WtnOkroPt8YZb9ie92/jCx71hXK7ewoDwZiQqLsHX3yGo9FStjPnWIoSlSmr4BgpGWZKIagHeaN1Fb24Gy3O5kp3mUnaKw3UdS1K6L2QmGSlmsH2PsKrTEamhJ15/T28DZc+irzDGW5MnaA3V8XzdXuoDiYVjIja8rOExFrC3j8xNbX2EWEOLHrGsrZCEvJjO9qCjSkEiWjsBpW6D1iiwvDRldxpPVGbNfDzK7hTjxffWvJacPYh7Q2RI4FFyJolpnbCCCLodHOEwWR7bUAc1VzjknSwZO11VMBlygLpVRNCjiCzJNAaaCath0rZcpUWLYLg0wI7oXqLaxpu4jJWHKbr5FZZK1BmNRNTVXbUBgkqYWqMBXTaqRnNLbpGx0iC7Yqv3Y74dLN9kqDSwYrqOJuu0BbtQ13jviakx4lqCkSrLfHzyTpa0PUdjcONagWWd9CrnYZNHlVC0Ys4UjgbIZ6qn8c9PZpkZm6+4wj8AkZ9NNpGkje58cP+I60EO13WwN9nMSDHNp7PDnJkbZaSYYbKcY84qMWsWeX+yj09nh7ianebrXQfZk2wicp9atUBF7N1onuQudI5YKwKB6y8d38mSdMuWeXebgFJxEv6T/pPkbJPpcp6r2WkmSlk6o6mK0z7w6cwQU+UcAPWBKAdSLff0fHjCZ7w8y0ezF5i1c/yj7i/RFqpHv4sBmE0Bu25kAmrdklQ0RxQou7PE9C0rvssTNiVnbIkBjSZH0G/RYuZBIaDUosvRDas7FHgUnZGFGrUKBWeIK5nf5wq/f/vrFT62n6/qvnonuL7NaHkQx7cRIrQhD6uiW2DCHFnRkTaoBGna4JTlBx1ZkgmrERoCLcxa05Ruqq8UCPoLVyik8qRE/YbVBl9/0A0Uesk5y52DAQJykPpAI6E1RGA1WSOuJWgINDNSGli2vODmGCz24QoXparJ3O0hhKDkFunNX6xu4IRCRI3RHGxbcwQ2rteQ1Ko3XAeYt+eYMMc2VMDO2tNk3cyGrW+Th4f6thSp5uSKAjYzm2d6dB6rZD+Y7Ws22eQRIKhq9MTr2Rar4+udB7mYmeDDqX6OzQ7Rl5slY5UouQ7fGzlPybP5ze3PsS/ZjHKfItGarBJRDaappNAWHBtnHRlzni/IO591OdAkhYCiod2FUqX1oMoyreEE+2qamSrnSdsl+nOznJwbpSNaKVMqOBbn0hPMWkUkoDWc4Mna9WUI3Skl1+RcdoAPZs6xJdJEvZFk2kwvLp82M9i+iyRJDBQqBriNwRqCd5BJ9xgL2NuLZUvIhNVGAkoNBWkEX9iU3CnS1kXqg09UjagKIXC8PFPlY/i4C+tRCKmNi31LH3RUOVRxA94gBALby1WJsN05vrDWNfO2FlzhMmVOkHbmCKkRtDs8FkIIcm6G4Sri5jpBJUxbqPOOPudhZVtkByOl/mUCFmDammTWnqIx2LKmetS1Yvsmw6V+Cm6u6vKucDdRNb6m9jNQSSPeHt3NaGlwWYTd8k0mzTHS9hw1ei3KBrV+8vHIu1kGir1VJ3HCaoSuUDfaOmZFk1qKlFG3xHTkRtL2LBPlEQ4kntoQIS6EYLw8wpxVzcN5k0ed1u4GmjpqGbw4VnW563hMDs9y7fwIu49svcdb9xBx/32Bbo/VbiEbn4W4yS2QJAldUTiQauVAqpWvl/O8PX6F3+89Rv+C6+9Pxq9ypLaDzkgNSWPjnsnrIaRq1AYji9s0Wc5hes6aMzUs32WslF0cOyaNEGHtwekQ8mpzD2fmx0jbJQYL85yaG+WrHfsQwufk3AhT5Ryu7xNUNDoiSXYlNr48aTUmzXmu5ceZt3PMz+c4Pn9lyfJK2WDl2P7j4/8zAP+f/b/FgeTt38MfYwF7+0ioNIWep+ROUnBGKDpjjBZ/QlzfSlN4eQsX288wVf6EwfzfLKYRJ41dxPWtiwYfDzqypG5sKxchlhhhwfWU6jv7HEU2Km197kLmv4/HxdwZEloNCf3Omo57wmPGnORq7kLV5aqkktBraAq03dHnPKz0RPdwIn2USXO86vLTmU+pNRroCi83w7kdXOFybP5D0vbcipMqO+P7ia7gLFyNiBplV2w/707/ALdKX9mCW+CnM2/zxaY3UZTVeyWvlRlrirOZ4yuaUMW0ODvj+9e1Tl02qNHrqDUambEmli3POmlGygPMO7Ok9DsvMZizZ5ixpu6Ku/EmDz5t2xpp3lLPYp+RKoz1T3PyvUubAvYRQ1UVVHXlyTzP83Hdu9N3epO1kQqE+WLbbmqNCP/ixHcoODYC6M3NMlHKrVnAVtyYN267knqI7mgtx2aGAOjPz5Kzy4u9MG5F2bW5nJ3CXxCw7ZEktcats63uFYdrO2gNJxnIz1F0LYYK8/Rmp+mKpvjp1DVydqWUrjtWy+5kE8o97lyR1KMcTu0goVX3AxouTXM2248qKbzR+BQA9YHEHX3mpoBdJ9dnclojr5G1e7G8LI6fI2df49z8v2Os+A5xfSu6EkOIimNx1upl3rqI4+cBga4kaIu8Tk1g7z2omxCVGtMNjkjeMZKELOnceGtJGDvojH6ZpLFj5ffdarWohNQGFHljBMGN+MLnVPoTdkT3EdXWHomrxpQ5Rl/hMkWvuptmUq+lI9SN+hg6kQLEtSRbwj3MWJPM27PLlvflL7E1vGPNNamr4YlK1PLo3HsUqtRdysjEtCRbIzvXZOB0HU3SqDMa2R7dS2/h4jJRaXolzmSOcTBxmNZQx6r9VteC49uMloc5kz1RdbkhB2gItLAl0rOu9UqSREqvpTPcXVXA+vhMmxOczRznlfov3Na238iZzDGmzPE1OxaqcpTmyFeoCRwhoDagK3c2ubTJ/SWWDNO+rZHmrnrG+6ervmZ+Ksfl4wNMjcxR37q2/pubPPjoAQ3dWDk7xLYd7PL6ekNvsrEokkxMC9AZraE7Usv5zASeEBRdC9Nbx7mRKu7N17+7putQcm//3NYHouxLNvMnnMRHkLXLXMhMsi1WT2Nodb+MomsxWJjnanZ6MUq4M9FAc3jjfTZul5Cq82RtG/35WQbyc0ybeT6dHaYpFOfTmWHybmV8sTVWx95k8z2/J8a1MAcSW9kRba+6/OjcRQaKExiKzldanqu8R7+zCYLHc3QM3KlFX1CppzP6FSQUJkofYnqzZO1+yu4Ms+ZpFMmg4lhcwvazC+JVJqK10Rn9WZpCz2Hcg96AAh9XrOyqer+QkNDk6JJoqyIZhNUmUoGNN7bZCASCGWuKk+mPCSpBGoMttxXpLbh5ruQvcDl3fsXzUmc0si2687EdmKmyys7YPkbLQ6TtuWXHqeQVOZ05RlSLsy/+xG33U/WFT8ae572ZHzJljlWtR9ZlgyeST5PUU+uatKi4ZId5tvZlxs1hbHupgPXxydhp3p3+Aa83fpnGQGulfdBt4AmPa4UrnJz/mIw9X/U1dUYDO6J7bivtOmXUsTWyg1PpT6oeo4wzz7nMSbaEt9Ma6rityR1f+EyYo1zMnV1xH6ohSyoBtfGmVjebPKwoqkLHjmZ2PtG1ooB1bZfhqxP88A8/4lf++ReRFfmxvVeuyEN4OHRDQw+sLGAdy6WYK1HKlwlFN36S+nFECIHlu6iSgiJJa/4eVfp92ouxkYCiras3rIREQg+iLtTMpu0S02Z+zW1rbiaiGWyN1bEn2cS59DieELwz0UtXJEXCCBFQqj9bPeHTl5vl70YvUl4Q4Ek9xL6aFpqCa8+4utvIksSRug6OzQwxkJ9jzizyycwguxKNTJUrxy2hB9karaU1nLjn26fJKpqsEtWqjy9iWghVUtAkhbo7jLxe5+H3/b5PSJJCjbGH9sgXqA8+tSBYfRw/T8EZJWP3krWvYXnzu5B71QAAX2VJREFUaHKYlLGPzujPsj3xa3REvkhYa11bOxpp8X8LrK9mVAgX051Z9/vuPjIhtWFJXa3jFyh7D3bdmydczmVPcCrzCdPmxLprbU2vzMXsGc5mTzBnVx+cxdUE7aEuGgMbZ4rzMNIcbKMnuov6QPU68ZHSIMfnP+Ri7gymV173+j3hMWNN8un8h5xMH8X27WWvUSWNhkAzT9U8T0AOrHvCQpU0tkZ20hPZRVhZPtt4PS396Nz7jJWHcKpsw61wfIdrhSt8Ov8B1wqXq9a+hpQwXeFt9ER33dakS1AJ0xJspzPcXXW57duMlYf46exbzJgTK7bwWQnXd5m2JvnpzFuMlYdxxPqPwyaPDs1ddex+eiuJupWzKzKzeT7621Mc/8kFrPLm9fIoEIwYBCMrl1UJX5CbLzIxuDwrZ5PbwxOCgfw8fzpwku+PXuRcepxZs7DMkfc6Zdfmanaat8evMlnO4yOQkWgNJ0gFVm8neSOyJNEdqyWgVMaAecfiYnqCT6YHsTy36thKCLGY4nsz182Ovtaxj5heeVZfzkzxvZHzvDNxlalyftk6c7bJ8ZlhvjN0lqPTFT8SiUq96a54I+H76Kpcja5oLT2xepJ6iIJrczkzxQdT/YuR762xOrpjdYTUB6d2927yGEdg7xyBh0AgISFLGqocpjZwAE2OAj4SMqocRFeSRNRWEsZ2olr7ulrnSMhLhK7nW0t60K6GLxwsL4PpzW24K++dIiETVOsxlCQFZxSBi+XNk7P78YW7Ib1m7xbz9iwn00dxfJs98UM0BloIqZUbdzVxULE5F6TtWfoKV/hk7n2Gi/1Vo68yMh3hbrZGdhDYoLrI9XDrSP29i+QbSoCe6G7mrBlyToayt9SV1BE2fYXLuMLF9Mt0hreS0utQJW3VWWRf+BTdPBPmGJdyZzmd+YSsk172OgmJpJ7iYPIIzcG224rwyAtR2KdqniftzDNQ7F0mUk2/zIn0x7jCYXf8IC3BduJactUoZsUQoRI9HikNcDLzCb35i1VNr2RJoSPczc74flLGyn1Ib7UfNXoth5LPMFwaWBD7VaLi6WOE5BC744doCbURUiKrOkV7wqPo5hkrD3Mpd44T6Y9vazJik0eLaCLMtv3t7Hu2h/e/Uz0l3nU8JoZm+c7vvoMky+x6agvhWPCuRmKFEFimQ36+QG1zcjPqu8HEaiIkUhEkSVpxcnhuMsPFT6+xZU/Fof9RPgeu72N6DkXXxvU9XOHj+pV+p1PlAtPlpSUv13KzaJKCoaiosowqKQv/ykQ0g4CiLrsf+8JntJjh29eOYygq22J1dEZqaAhGiWgBDFlFkSR8BKbnMm8VuZie5KPpAQo3pK3uSjSSMtYuYBVJYm+ymcZgjOlyHtv3uJiZ4tvXjjNRzlFjhNFkBSEErvCwPY+AqtIdraU9Ur1MJKEHea15O+fS47w70UfGLvHhVD9pq0R/bo6uaA0hVUeWJEzPZaKU4/jsEMdnR5izSmiyzO5EE19p30tLOP7AJTGEVZ3dySa650Y4PjvMtJnnnYmr2L6HBOxLNrNlwZn4QaMhUMOztbvXZSB5Kx5clXDXudOBuCBj99Kf+wvGi++hymGaQs+yK/mPCar1GybAZElFlT+7KVh+upISLHykWxRp216OjH1lsc/qg4QkSWhSmLi+lbwzhOXNY3kZMlYvRWecqF49j/5+oEgKuhzA9i28BTOeKXOcnJNhojzKweRhmgJtBJUQqqyhSAoSMgKBJ1xs36Lg5rmav8CxuQ+Yt2dWNApK6DVsj+2lY4VI11rwhY/j29i+hS98fCrNuMXCv4u/L4ig68tmrWlyTmbF9eadLMPFfqJafGHSRkZGRrrx34WfZUlefI0maWiycVvpsU2BVvYmDjFjT3Ild36ZGZLlm1zNX2DKHGd/8jA7o3uJa0kCShBVUhfOhYSPjyc8HN+m6BYYLQ9xLnuSa4XLKxoeRdQYPdFdHK55Yd3bfTPboruYMMcqrZPKI8vOf8HN8fHsu4yVh9kbf4Ku8DaiagxdMVAkBXnBpdgXHu7CNZV3c/QXrnA8/TGz1tTitXkzdUY9+xNPsTWy8472IaxG2RXbx5nMp/QXrlaNklq+yTszP2DammRf4klagu2Lrt2KpCJJlevTE97i92KsNMTpzKf0FS4tTqDIyIsTONVE+SaPPk0ddbz4tSc4/0kf6alcVUFjmw6n3ruMEOBYDjuf3EI0GUbTN25oI4TAthyK2TLZ+QJTI3NMDMzwlX/4MsoqhkP3nQeramhNxFMRUk1JjJCOWax+X54ZT3PyvUs884X91DQkNtQI6EEj75hcyU5zMTOJ6TqUPQdz4b+MXaY/P7fk9X8zcp5PZ4YIqjoBRSOoqpV/FY0nUm1sidVWjc4pkkTZdejNzXA+XfE50GWFhBEiphrosoojPHK2ScYuY/mVZ40qyTQGY7zZuZ8diQb0FdJ0qyFLMl3RFM/WdzFnFhkppknbJX4ycZUPp/upC0QJqRqeLyh7DnnHpDWc4L/qeWZFAavIMnWBMP94x3M4vsfx2WFmzSKfzg5zcm6UqGaQMsIokkTGLpOxy9i+h4xEVDPojtbyD3ueYW+y6YGNYu5KNLIr0cjpuVFMz+ViZhKAuB6o1O2GHpy05xvZEWtnR2xjx/WPsYC9M4TwGcn/kOnyp/g4RLUOdiR+g7DWvKGfo0gBAkqKHH0AlN1piu4Ejl9EV1ZOr/KFS8EdZbz4wYZuz0bTEHyaeesClpdG4FFwhhksfJedid9AkQILs6urP6EqEU4fgbcw0N/YeqioGqcrvI1Jc4xpawJvIQJe9kpcyJ3mcv4ccTVBV6SHpJ4irETRZR1HOOSdLDPWJL2FS5heedUIpyppHEw+zfbo7juKvpp+mcnyGIPFPizfxPIsbN/E8i0sr/KvLSzshZ8rrzFxfHvVtkYXcqe5mDuLLuvosoEhBzAUA102PvtdNtCVys+6bGAoAeqNRlpDndToK/cSXQlJkugKb+PFus+RsecYL48tyyYQCDLOPO9N/4CfTv+I1lAnzcE2EloNISWMKquYnknRzTNrTzFYvEbeya66r7pssD26mxfrXieq3bmRgyzJHEm9gOmVKHvFqnW9Pj6DxT6GitcIKiHaQl00BVsJK1FCSggfQdkrkXMyTFnjDBb6bplqG1IiPJN6hd2xAwTvMKIvSzIxLcEXm97kD4d/lxlzcsVjeCF3mkv5s9QbTbQFu0gZdYTVKIqkYHolCm6eKXOcsfIwGWd5vWtcT9Id2YHr25zOfHpH273Jw0k4FmTHoS5+5utH+N5/fp9y0VxRlJ1+/zLpqRyvfeMIh1/fQ11zDZqhomoVgbmeuj4hBJ7r47keruPhWC7jgzOcP9rHiXcu0HtmiEg8zJe++eKDLWAfQhRVoaYhRlNHLQMrtFEqFyyunhriB9/+kC//g5eJJELI8tprNx8mJkpZvjd8jj8bPL2m1388PVj17zIS/2zXi9QFI8uEmSRJJIwgtYEwOcfEWYj0esJnppxnmvyS9ciSRECpCOP6QIRf23qYz7XsJGHc3vPll7ufxPJcfjh2abGW0/JcRoqVrChp4TMVSUKVKtHk1VBlhS3RWv7bva/x7WvH+clELxOlLI7vkXMqAvz6viiyTFDRiOsB9te08OvbjnAg1XrPHXzXQ2s4wY54PbWBMJM3ROD3JZtpiyQx1jGJ8LDz+OzpMu7sZmd5aQruCLafBSRUJURY3fiaRV2OEdO3MF3+BKiYMk0Uf0pUa6cx9OyK7ys6Y4wX31t834NKY+gZJko/JW8P4YoiZW+agdx30KQoW2I/t6pIv47Ap+ROUnLHiWgdBJU7b+VxIzV6LS/Vfx5PuHxr8HfIOukl4sMTHvPOHJn0JyBdTyKu9ICoBA3Emvrd7okf5FDyaeqNOzOjyTtZzmaO8+7MDwAWt+E6YsnPS5fdCoFfEby+SZ7ckm+RdPNvC7/uiO7lxbrP3ZaAhYqw7w5v582WX+Xbw/+BjD2/4vH08RkpDTBaGrxp8mPt50JCZl/8SV6u/zyNgdbb2uZqBOQgz9W+hiIpvDP9ffIr9JsVCEpekav5C/TmLy0cxxv3o5KSfqt0bxmFzzV+mUPJp4lrG2MYp0oaneFtvFz3BX48/TfMWlMrvtYXPlPmONPmRNVzUdmD5edClVSeSb3E9ugeLubOApsC9nElWRfjq//oVa6eHubS8f5Va12Hr07w+//6e7z7l59y+HN7Ofz6Xrp3t6IZax/m+J5PIVtmYnCGvrPDXD4xwJXTg8xPZrFNB8+rZK5E4mtPlbxvPKR6rqEtRc/BzhUFLMD8dJa/+p0fYxYtvvwbL1PXnERSHtIdvs+oksz+mhb+7ZE3OT47zJn5Ma7lZpko50hbRUzPxRU+uqwQ1QI0BmNsj9fzZG07zzdsIWmEbikqVyOpB/knO5/nuYYtvDvZy4nZEYaL8+QdCwWJkGZQo4doCcc5mGqjO7628V1DMMb/affLvNG6i4+mBzg2M0hvboa0VQIBUT1AeyTJvmQzzzVs4Yna9kqK9QP+xZGA7lgdT9S287cjn7VhPFLfRfMDZDp1L3iMBeydIt0w7hcU7BF6c39IS/gVAkpqIXp457M4AbWW+uBT9Gf/DJ9K2saseQaR8Sm64zQEnyasNgEyvrApuuPMmqeZKH3AXPkMINDk2GILnwcNWdLpiv0cjl9grPgOAg/by3A1+wdMlz+lPvgUSWMHQbUBVQpwvS2Q6WUou1PknUGydh8FZ4SgWs+emv/DhgpYRVKJaUlaQ50gBG+2/n1+MPlXTJbHlgkhH/+2DrEqqeyM7ednGn6WpkDLHV8311ODvTXWSt/BJy3Z3WWCauFXT3h35IItSRK6bNAe3sI3O/8pfzvxFwwVr2H55opbJW6z470hB3m29mWeTD5HU7Bl1frN9SJJEmE1wlM1zxNSI7wz/X2mVuhzC9f3w1v3fsjIxLUkbzS9yc7YXmJaYsOiE5JUue8dSh7BETYfz77DhDm64uvXey5USeW1+i9xMPE0Cb2GsfIIEtID56J+PxFC4DouZsnGLNlYJRuzbGEWr/9uYZZtrLK98Bpr4WeLUq7M4OUJivmV64yFL/jDf/t31LUkCQR1jKBOIGQQCFV+NkI6gaBe+T1k3PCaz35XdQVZvvPvjiRLxGoi/KP/4U3+93/551w5OYC1QhuV68dluHeS2YkM7/3lp4TjQdp7mqhpjBOJhQhFA+iGhi8Ejulglm0c0yGXKTI/mWVuKkshU8KxXCyzcgwt08FzNnuP3iuat9Rz4PntvP+dE5QL1e/xiEok9kd/9DHnPupl95GtbDvQQWN7imgyjBHQ8H2B5/nYC9+DcsGkkC2Rz5QoZEpk5/JkZvPse247B1/aQX3L2tpvSUDKCPHvnvkFLK8yJotoBnWBtbcE+ddPfYXyQsuYkKqTWqF36pZYLb+9+yW+ue3Imte9EikjTFxfbpAlSRIKEo3BKK819/BsfRe27+H6Hp6ojHKEEMhSJRKqLtTYhhSNkKYjc2fRb0mSCCoa+2ta2Bqr5Ze3PInje/jCr7RbXIiUapJMUNWIqGszVqpsr8K2WB0toThfat2FvbBP15drskJA0QirOkFlde+Mm2kOxfhnu17i17YeBirtheoCkbsugCVJQpFktBvur3E9yP6a5nWZaD0KPBIC1hMWOXuAojOGJ0w838ITduVnYZG3B8nZQze8vszVzLcIqLUoUhBVMpAlA0U2UCQDRQrSEHwKRV75i6IpUcJaK7oVx/azlL1prmX/goniByiygYTCjVOgEhKKbKDKYUJqA3G9Z0GY1a/qCqpKQeJ6N22RNxgp/ghf2HiizLx5nrI7xUj+LVQ5hCwp+MLB8UtYXhrTm0FCoT54hIjWzmD+O3hihYfBfUSSJOJ6N52xryAQTJY+wBMWljfPrHmKgjOMrsRRpADygqmNEN7i+XX8AraXxxNlJJTKgH8Diaox6gON6LIOArZH9yAh88nce1wrXllmLLQ+JGJqnIPJwzxV8zxNwTbUDSxwf5SQJAlDDtAW2sKXm77BmcynnM2eYMaa3BBxIyPTHt7Ck8nn2B7dTcqou+O+rFU/ZyENd2/8EFE1xsn0US5kT2GuIMbXS0SNsjWykydrnmNLuIewGl783mwUkiQRUsMcTBwmqAQ5Pv8R1xbMtG4XGYWEnuSFutfZEz+0YMalElEjRNU4OTezcTvwEJPPlDj30VV+9Ecf4Toenuvhef5iyqvn+fg3/Oy5/sLfFn53PMyyjWuvfq4ufdpP31kVRZEr/6kKiiojX/9ZkVf4vfK6F758iCdf202y7s7S7yVJQlFl2nua+MXffoPv/O47nPu4d2VhQ6XFTm6+QG6+gCxLTA7PYQR1VE1BVRVkpTLw872FY+P5OLaLVbaxTQd3U6zeVwJBnY4dTRx+fQ/v/dXxFV8nhCCfLlLKm8xOZDj13iUCYQPNqFy3QixM5nrX08F9XMfFsV1c28O2HGzLIdWUYNfhLWvePmlBxHWsUIe5FtrCa8uICSgagaBGQ/Du9yNVZYXoQpT1XiNJEkFVI6hu/PjHUFQMRSW5wiTB7aIrKg3BKA3BO+tDfztMlLNczVY6diiSzOG6dhoC0TuKhD+MPBIC1vVLTJY+ZKL0Eb5wEMLBF27lPxxcv4TrfyY0PGEzXnwfRTaQJRUZDUlSkSUNWdJQJIOawC4UVhawiqTTEn4F288wWTqK4+couqMU3ZWjETIqimygyXFCaiNJYzsNoWepDxxCkavfNCRJJqDUsiX2Jp4wmSp/guPncUWJvDNE3hlaXPuNrXICSh0NoSO0hl/FEzbDhb97IAUsgCoHSRl7kWMqQaWWqfJR8s4QnjApumMU3ZVTia5TqRWuQZU29iaV0GpoCrRWJhkkCKlhdsT2EFKCNOfb6C1cYrw8smI0sDoV4doW6mJ7dDfbY7tpDLRuaLTvUUSSJFRUOsLdBJQgDcFmrhUuM1i8xswqJkarrJGgEqIp0EJXpIct4W10hrcRUSMbLvpuRJZkomqc7dG9RNU4raFOruUvM1IevGVtbjUkJBJaDa2hTroi29gS7qEt1IV2CzfmOyWh17A7doCoGqMp0Epf4RIT5ui6Iv+KpBDXknSFt7Ejtpcd0b1EtfiiA3NQCVOj124K2AUcy2FicJZjb59H+HcvKl0umJQLt//+jh3N7H1224ZsiyRJqLrK7iPdeK5HOBbg1PuXyczkb/le3xcUFiJujx0PadKCJEvUt6Z49ecPM3xlguGrk3juyvcUz/WYn8oyP5W9rc9zLPeufpc22WQjydkm/fk5hgoV7whVknmlcRsJ/e46sD+IPBIC1hM2OXuQOfP0Gt8hsPz0iq1RJVT8W5ijlNwpXFGmeuOU6vi4+L6L4xcpueNk7T5K7iQIQWP42YXPXr42VQ5QE9hNN18npDaSsa5Q8iaxvSyuKCOEh4SCIocxlCQhtYmawG4ag8+SNHaQcwYXIsIPLroSozZ4kKBaT0RvZ948T8mdoOzO4vh5PGFWJieoRGsUOYAmh9HlBAE1RVhtpsbYQ0C5vVlRXTboCHfzYt3rSyJ6DYFm2kNdS14bUIJsi+4iZTTQHGxnqHSNaXOSrDNP0S1Q9ks4voO/MJCvuBgbBJUQUS1OUkvRGGxlS3grHaFugurGpn2E1DDd4e14dQ9GJKEh0Hzb9a83c/0G3RhsocaopTXYQUeoj7HyCHN2pd1OyS1g+mUc314UU7Iko0gqhhwgqISIqFHiWpJao4HWUAdd4W3EteQ9m0SQJAlDMegMb6Up2EprsJPh0jWmzHHm7TkKbo6SW8Tyy7jCraRTUbmWNFlf3I/r11NDoJmO8Baag+1E1Hs3IxzVKkK83miiZeG7MGfPkLXTFL0CplfG9Z0FUX49/SxAUAkT0xKk9Fqag+10hbfREe5ecLP+7B5Ya9RzOPUC7eGlEZKkVkNDYGMN8x4eHobB9sZvoxHU2f/CdgJhg3gqyqn3LzPSO4nvPVgt4ja5c8KxILsOd/PFb77Ad3/3XSaGZnDtB+N59qhQtG0G5tOcnZhiT2M9PbUpAtryCKgQgmMjY4zncuysr6M7VYOmPNjjyUeZ/vwsVzJTFF0bVZJpCsU4mGp74HrW3gvuuYANaY3UBZ8k4nUioxDSmlZN1V0LimSQMHqw/eqmKOtFRkaRqm+TLzwKzhATpQ+YKH5I1u4FIKZvQZOjC9HcpSK0Yv/v4+Pi+mVMdxbbz+P4OaZLnyKjkQzsxJCTKxovyJJKffBJ4vo20tbFioh1J7D8LL6wUdBRlSgRrY0aYycxfSsBJYkQPmG1icbQ09h+AU0Or8kpWZfj1AefwvQqszxRrR1dSaz5GN4OiqQT07uIaG20hF4mbV8iZw9QdqcXRKyF5TjMzltMzHpsa+mmva6H2vBWIlobhnL7RjUaAWrdLTTPx2mui9GYihEwVk5nkSSZlFFHjV7L7vgBJs0xJsqjiyLK9Mq4wgEkNFkjqIRJaEnqjCZaQu3U6Cn0NVz3tuPSPzZHvmixpTVFIhpEuUVtWUxLsD/5FPuTT633MKwZXwhm5guMTKWxbkhHjEUC7N16b4SFLhsLjsPtmF6JCXOMKXOctD1LzskuiFgHgUCVVHRZJ6JGiWlJavV6GgMVEXw3UoXXiiRJBJQgO2J72BbdScaeZ9IcY8aaZNaa5nLuMvPOPE2BOuJaHEM2CCgBIlqcuJak3miiKdBCRI2irKNNkRCCeTvNlDVDVA1Ta6Ru26VYlVXqAo2kjHr2J59irDzERHmMtD1LfuE8VCYSpIVzECOh19BgNNEUbKNGT60Y8a41GnihruG2tmuTRw/d0Njz9FZqmxM0dtRy9AdnGOmdJDObx3PvrpCVFZlQNEBNQ5yO7U1I8uMV7bjXhKNBfuYbT1PMlDj6o3MMX52glH8ws8geRvKWxUdDI/y7j47yW0eeoiUWqy5ggb+7fJWPhob55hMHaY3HNwXsfaLs2pycG1lsnRPWDJ5v6KYxGEWTH79zcs8FbFPoOZpCz23oOg0lwfbEr7I98asbut6b8YWH5c1xJf37jJXexfELBJQUdcFDNIVeIK5vRZfjywZjlX6gNo5foOiOM1n8gMnyUcruFI4okLX7mDPP0Bx6+ZbbYChxGkPP0Bh6Zk3bLEkyhpLgSMO/Wte+JoxtPFX/36/rPRuFLKmEtEZCWiMt4VeWLJvLFvnOiXP86d8c47/62tMcqNtJKnDnEadi2ebouSH+zX95m1964wnefHUfLfWJW77vugDpDG+lM7z1jrfjZnJFi9/73jEuXJvk//Jrr3J4dzuKcf9TjX1fcK5vnD/50SkmZnOUTZuy5bC/p4V////4xj3dFlmSCakRuiPb6Y5sv6efvZEokkLKqCNlVEzICm6RKeuPmLF9Xqz/MocS+zGU1Sc9XN/D8i0c3yGuxVZMKRIIzmUv8N3xH7A7voPXG16hPXRnjsuyJBNUQmyN7LzjnrMrYXoWlm8tCPnHb8Z5k8o9t6mjji/+2gscenknP/rDjzj1/mXmp7KUCya26eBvUEqoqinoAQ0jqBOvidC5q4UnXtnF/ue3L7boeWB5yPW1JEsYQZ2v/7PP09LdwNt/epTeM8MUc2Us096QIL+sVOq4NycjVkYCUuEgW2qSJIMBlM1jdV8wPYdLmSmOTg8yVJhHkSQaAlG+3L5nXf13HyUez72+TRw/x2jhxwwXf1iJekoBumJfY2v8F9ecupo0ttMUepZTM/+a4cKPFoyI8qTNS2sSsJs8fsiyTCiooyob29/2TlBkiSd3tdOYijGfK/HBqX7eO9l3vzfrkUNCIqAEUCWVtYxI006a0+lzjJTH+NWOX0STHi1TsEu5K5zPXmJ/Yg/7Ervv9+bce6TK/UDTlA0TaXeDjXAgvhWartK2tZF/+C/fZH46y9EfnuPYD8/Se3aI7Fxh0cQHcb2F1ipILPocSFKlBZgsy7RsqWf7oS52H+5m15Fumjpr78m+VUMIsdjGx/crhS6SLCHLMjc/FhRFeWCeFXeCJElIisTzXz7ErsPdnHrvEu/+9XEuHO3DMp3Fc3tLp/Obz29l5SRqoyTrYxjB+5eF86AjSRK//dzaAiab3DlCCHwh8G+6oM/Oj/M7lz/g5NwIAkjqIZ6qa+dgauNa/T1sbArYdWB5GUaLP0YsmMWkAvtIGXsx5MS61iOjE9baCSi1FN1RfOFi+bdnQLDJo00yFuT/+s1XcV2fSMhAf4Bm/WPhANs76/F9wcRsjk/OD936TZusmZAS5Nc6fxHX9wipwTWJ0Yyd5WrhGs5CvfijRm/hGpPWFDv8jTEIethIpKJ8/u8/xwtfOfRAn99QJEAgdO9EQSIV5ZU3n+K5Lx4gM5tntG+KwctjDF+dZG48zfx0jkKuhFWycR2v0poroFbaAgV1IrEgNQ1x6lpqqGutobE9Rdu2RhK1UfSAhqaraLp6X0Xh1HiGb//7n3D2+ADpmTxOMMiLXzvMF37hSVo6lnoMGAGNYOTeu8neTRK1UZ772YMceHEncxNprl0cZfjSOMNXJ5ibzFLMlykXKi2jfF+gagqaoRGOBogmwyRqo9Q0xKlvraGxo5a2rY0k62NEEqFNAbvJA8OMWeAvBk/z4fQAYUUHBDNWkalynqxdxvE9dFlhX00Lv7r17pWJPQw8dAJ2fD7Hh5cGuTg6xf/zF15FvYe5+J4wydn9iAX3p5DaSEBJrbtvZ2UGULrxD8jSQ3cq7jtrt896eFFkmXjk9moT7yafRSkq3z9NWR4F2OTOkCWZiLr23oJCCLJOjpHSKA2BOh4Os5+1IUSln+xgcZiiV7zfm3PfkBWZUCRA6BETJ3eKrMgEwwbBsEE4FqS2KcH2Q52YRQvHciqtU1yvErn0xWIkW5alhVZAMpquohsaekBDD+gEwjqq+uBEMuPJMF/4+lMcfKabqxfG+fgnFwlEAiTr4tQ1377/w0oM908zN52nZ3cL4ej9v95kRSYQMjACOtFkiIb2Wg69sINyycaxHDy30hLJ932EqDyjZLnShknRFDRNRTMWzvFC32JNUx/p9GEBFCyb9wcG+HBwmKlCAU1W6KlL0VNby0q7PpnP8+61Qb576dKSv//aoYO8unUL+irj7sl8nmMjY3w6Msp0oYjleYQ0jfpImB11dTzR2sy22tSy980UipwcG+ej4WFGMzkc36cuHOJAcxPPd3bQkUwg3/RdHM3mOD0+wYWpaUazOfKWhSxJ1IVDPNnawgtdHTREIlW/w2cnJjk6NMKV2TmypokvBPGAQXMsxhMtzRxsbiIZWjr2EkJwbS7Nu/39XJiaIVMuoykKbYkYT7e38WJXF/odZso5vsd4KcfZ+TGUBW1h+x6OXzExMxSV5xu28CtbnqQ1lLjtz3kUeOhUk+m4jM5luTQyzb3OoBLCX9KKRkLhdkbtnrApuZPYC1FXRdJv2z33YWd6Pk/v8AyDE/PMZoqUTQdJlkhEguzorGd/TwvxSKDqDUGS4MrQNO+d6GN0OoPr+SRjIXZ3N3Kwp5WAoS05PUKA5/ucuTrG+b4JptMFJAmaamO0NSSX3RxvxLQcrgxNc653nKn5Ao7rEQkZdLWk2Lu1ifbGzwYQZcvhx8euUjYdtnfWc6F/gqHxNG2NCV57qods0eTU5VEmZrI018d5+Ymt1CWjyAtPk8nZHJ9eGOb01aXtg77xuYN0t9aiKssnTM73TfDR2QF62uvobq3l0uAUVwanyRctwkGd5ro4B7a30NGURNeWfu2n0wX6hmcYHJ9j5vo5kCARDbG9s57925pJRB8/i/b1IhC8N/0haSfDzmgPO2I9CCFwhctfjn2PjJPjSM0T7I7tQJM1im6R4/OnGS6N8LnGV6kP1JG2M1zIXuZi7vKSdb/W8BJd4Y7F9jI3Mlgc5lpxgClzmsHiCNPWLCWvzH8a+BYyn10ru2I7eK726arX+Yw1y3BplOHSKGWvVGlTZNSxK7aDeqMWtYpB1FhpnL7CAOPmJCWvjCoppPQadsZ6aA22YCifRTUKbpHLuauczJzh6Zqn2BrpIqR+1vLK8iwGS8N8NPsJ26Pb2BXbQUKPk7Gz9BX7GSqOkLYzDBaH8fD40dRPOJk+s/h+VVb5xbY3CSuhW16nfVNznBga49rMPLbrEg8G+Oazh0iEg6veAx5EXM/nx5euYToOT3e30xBb+4THg8T178lbU+8xWhrHx6c52MizqcPUGut7NqqagqoFCcc2fuLPEz4T5Ul+OPkOjnAAOFLzBD3RbsLqxrZwu5lAUGPbzmY6ttSjGxrnTwzetc9yHY/LZ0fpvTBGS0fqgRCw15FkqSJCDY146uG83u8Vs4Uib/f182dnz1F0HBqjEVRJ5tzEFJemZ1Z8X0BVaYlH2dfYSMlx+GhomPFcns/1FPBXycfvn5vnh1f7eLd/AF8I6iNhJFmi5DicHp9gvlSmNhxaJmAH59N8/2ovHw4OY7kuiWCAoKwynMnSP5/m2tw8X9qxnSfbWpaELT4eGuZHvX1kyiYR3cBQFRzP4/TEJJdnZsmYJp/ftpX2ZGLxPb4QfDI8yp+dPc9INktQ04joOq7vM10ocml6BkmCLankEgFrui4Xpqb5g5OnGc3mCKgqQU3Ddl1OjU1wYXKa4XSWr+3ZSU0odNvhFU1WiOkBIqpB3rFwfA9FlqkNROiM1HAo1cpzDVvYk2x+bGtfr/N47/06kSQVXYlRdmcBQdEdxXTnELq/pihsJYrgMlX6mIx1BdevRBJUOUxC77nLW/9gcvLyGD891cdMuogsV2KqjueTL5qc6x0nX7I4sreDusTyB9WVoWl6R2bIFS0sy6FkOZRMh3N9E5TLDk/uaiMe/ewGVLZszlwd5zvvnmNkKo2hqwR0jZHJDBf7pwgH9aq1UulciROXRnjrkytMzubQVAVZknA8nwv9k1wbmeX1p7ezvaMeWZZwXI+zveNcHZpmbCbD+EyOoYl5Tl4ewfcF2YLJwNgcs5kCJy+P4rg+33j9IPpCNFOSKmLIcT3yJYuL/ZPkCiYvPbGVrpblM5cAY9MZ3j95jb6RWTqba+gdnsGyXYQQFMs2Jy6NMDw5z+tP72DftqUuwaevjPH+yT6m5wuL58D1fHJFk7O94+SLJkf2dlKf3Bws3IrR8hi9hWsEZIMdsR58fGateT6ZO8G0NUNCi9ERaiOpJyh7JsfTp5i2ZnihbmmNkStcyp7JtcIgBbfAvsRuOkJtVQVsySuRtXOk7SxFt4jjO7jCJe8Ulog50zepzMkvfbTOWLMcnz9Fzslj+w4+HiXP5KJ0mWlrlmdTh+kMty++XghBb+Ean8wdZ7A0gu3bqJKKj09v4RoDxSGerT1MT2QrUa1yzVwXqO/PfERbsJX2UCs3Dvdd4TFpTvPB7CeoskpnuIMEcRzhkHPypO0MOTeH6VtIQNk1ycmf9QHVJG2x1dBqzBdLvHe1n9PDEyTDQQKahuv7D5ThjS8q331Zkm5Z9+4LwcXxKfKmxd7Wxnu4lXcDiagaIaKGuZLvY9aaY19897oF7N1EAjRZI6nHybsFfjpzlOZgI53hNsLcXQErSdJiKnMoEkBR714tbmauwGDfFKNDszjOZvuahxHb8+idm+Mvzl9gLJfjlw/sZ1dDPZosM57PcXJsgqPDI1XfGzEM9jc10pFMUHZcJvJ5Zou37qV8aXqGd/sHKNg2v3roAG3xGCBRtG2mCgV0RaExunQcYbku7/YP8O61AaKGzpd29NAci6HKEpP5Aj+42svR4RFCukZbIr7k/alQiKdaWwioGo3RCCFdw/Y8+ubm+YOTp3mrt4/umuRSAesL3urt49PRMZ7taOOFrk6SwQCeL8haJqOZHF01CcL6ZxOwnu8zUyjyrZOnuTA1zatbutjb1EA8EMB0Xa7OzPG3l6/wp+fOs7U2xZOtzUvevx4imsFLjVupD0Qoujau76PIEhE1QHMoRk+8nqZg7LEXr7ApYNeFKgVJ6Nsx3XkEHlm7j6nyJxhKkojWiiZHl7fQQeALF8fPY7pzFJxBBnLfIecMIPBRpRAxrZOkcXdcOx90XNcjGQ3RUpegqS5GOKhjWi5XhqZ5+5MrSB9LNKZiVQXsub4JtrXXsbe7iYZUlLLlcKF/kneP9+F7HnXJCLuClTQwz/OZmsvzZ2+f4nzfBE/v7WR/TzOhgM7UXJ5LA1Mcvzi8bHbRtB2uDs/wV++cZXB8nhcObmFbez1BQ2MmU+Bs7zjvn+zDtB0af+4ZYjek9k3N5ZmYyfHEzjZ2djXwh98/wd99cJEtLSn2bmuiZDq8e7yXt45e5msv70VTK4PVmniY5/ZvYdeWRiZmc6RzJYpla03H81zvOOlcic7mGnZvaSQaNhidyvLu8V5+eqqfeCRId2st4RtqflzXIxEN0lQbo7kuTjioY9mfnYMffgwNNdFNAXsLJCRq9CQgkXGylaiS7zJcGllopRRcFGMJPY7jO0yZ0zQEGtBlAwmJmBqtiNVwGxkny1+Ofo9ysbzq59YZtWhxjZ5oN+eylxg3J2kw6vl842sL5k8VavREVTE0XBrBMizaQq10hTswFINpc4ajc59ybP4ESS1BY6CegBLAFz4Ft8g70z/lSr6P5mAj++N7SOpxLN9muDTCyfRZbN8mIAfoiXajybdvJBVSQnSHu2gw6vHwGCgOo0gyh5L72R79rA5WliSCSuCWQnR4Lsu50SlChsYvHzlAMhykbDvEAoEHJvpasm3Oj07RGI/SlIhiqCs/pmVJYntjHZbrEg08vHV8kiShSSov1D1NwSnwvQmJa4WB+71Zy5AlmYZAHV9r+SJpO8PpzPn7vUkrIoSgkDeZncySnitQLlq4joeqq8QSIZraaqhJRZBvyOgZ7p9mdirHwNVJrp4fI58r8cl7l0neEOncub+dhubP7iVCCIQQjA/PMzORoVAwQUAwbFDXGKe1s7YyMXrD9ys9V2BsaBZVVeje2cTY4CwzkznKZRtFlqipi9LV00hgszb1tsmUy1ycmqZvdpZnOtr5e/v3UhcJI0sSlutSFwpzcWqarLl8bKHKMrFAgFggsJBaG7hl+z6AdLnMfKlEazzO57Z1kwx+lrnlC4HvL59kHM3m+HCoMvb64o4evrZ715J7sQT8/snTnJuY4srMzBIB+3R7K890tKMr8uL2CSF4tqOdj4eGuTQ9w1ShiBDis+sVwUgmi+N57Gtq5JXurkWxef1adoVAvWEbSo7D5ZkZ3urt442ebXxj/x621NQsrnNPYwMZs8y3T53l05HRZQJ4PYRUncN1HRyu67it9z9OrFvAjsxmUGSZVDSEIktkSxZjc1maa2LEwwF8XzCXL+H5Pm21CYQQ5EoWc/kiZdtFkiCoayQjQeKhymD/+kVQshwyxTLZkonn+2iKQiIcIBkJLdTYVR9g+L5gNl8kX7YIGRoN8c/SMbPFMulimZJVsdZXFJmgrtGQiGBo6roGLboSozn8EvPWBSwvi+WlGSn8ANOboTH0HFGtA0XSYTFtz18UrwV3lLR1icniR5jeHAIPWdJJGD00hV4koNau9tGPLK88tZXXjvSgqwrKwoPUF4KfsXroHZrm2sgs0+n8khvQdTRV4UvP7+aZ/Z0Ymorn+RzZ28nYdJazfRNcGZqmrTFBMhaiZDlcG53lk3ND7Oxq5O9/8Um622pRZBnbdjlzdYz/6fd/smz7ZtNFTl4a4fLAFC8/uY3ffPNZEtEQsizhej47u0b4ve8d4+1jV3h+/xYO7GhZsn1dLSm+8foBTNvlR0cvMzad5Wsv7+VnX9zD0MQ8I5NpTl0exbQcQoFKD2FNVUglwqQSYeKRILFw9RTqali2y9bWWn7ja0eoS37WXkgg+N575xkYn2dyLkd362fX20tPdPPKU9uWn4Mj2+kbnqF/dI6p+ernYJOlpPQaNEkl5+QXIqEeg8VhavQEuqxheiZpJ0OnaKfsW8zZaQ4k9mEs9KJVZZW4HCOuxUg6CSJqGPkW2R11Ri11Ri2e8Jiz0iiSTEyLsDPWg76GHreO79IT3cYXGn+GhB5f/LvlW3wwe5Rxc5x5O0NzsBHbd7iS7+NM5jytoWY+1/gqu2M7UCQFX/iUvBKu8DiRPk17ro36QGXbbpewGiKshhZTTA1ZR5EU2kIt7I7vWPf6pnJ5fCHoqq1hR1PdbW/X3UIIwXyhzB9+coY39vaQDAdXFbCqIvPFfQ9v66hqLLrEPuA86PdCIWCkf5qf/ugC/VcnKeTK2KaDrMjUNsR49rVdPP3SDlL1scX3XDg1zJlj/Qz0TjI9kcX3fb73x5+g3WAe+Bv/9eepb0pUMoWEwHN9xobmePt7p+i9OEZmriIYIvEgW3c287mvHqKjux5F/WwMN9I/w3f+8GN0Q+Wrv/IMH759gavnx8iki0jArgMd/Mo/eWVTwN4B04UivbNzBDSNV7u3EDX0xfGuoaq0JxPsb25iJJvbsM+sDYepDYeZKhR499oAe5saSQQDxAwDXVGqetacm5hiMlegNhwCJM5MTC5Z7gmBoarMFEsMpjO8dMOygKZRsCzmShYlx8FZqIH2hUCTFWzXw3TdJXlHkiTRVZPk0vQM5yanaI3H6KqpIREwiBhGxeDtJrGeLpucGB3Hdj2aolHGsnlylr24vGTbxIwAEnB1bq7qpMAmG8+6Bex/evtTQrrG15/bRywU4O0zV/k3f/ku/81XX+SNg9spWjZ//uE58mWT//7vvU7ZdnjvQj8/PHWVwel5ZFmiuzHFS7u38PmD2wnqlU1wPZ9Lo1P86HQvx3tHKJgWqWiYp7e385XDu2lNxVGV5Q8MIQSZUpm//uQCJ66N8sSWFr756pPokoLr+7x/YYB3zl+jb2IW03GJBAy2Nqb4zc8fob0uia6u3QRKl+O0hl9junyc6fIxbC+L6c0xUvgRI4W3UCQDQ0mhysZCvayN4+dx/AJLDVUkFMkgpnfTFnmDtsjr6z0NjwyhgI7j+li2i+v7FZONBWv8VCJM//gclu1USXyE/T3NtDbEMRZqOhVFJhkL8upT2xiamOfq8DT7eppJxkJkciUu9E8iSRIvHuomlQgvztjpukpzfYKn9rQzMpVZ8hmj0xnO9U0QiwT46st7iYYDi5MjqiKzpSXFCwe7Od83wbsn+tjWUYexcE3HIgEaU5WovKbIpBJhLMulNhEmHNQxdJVYJIgvBEXTJhENcqcdGtqbkuzd1rxEvAJ0t9aRSkQoli3S+aURvZXOAVTOwbXRWUyr+jnYZCkpI0lYDVPyymScHIaiM1QaoUZPktDiFL0iaTuD5duk7TSucGkKNqxJaN4t2oItbI10LRGvAJ2hDs6o5ym6JYpupdzB8i1OpE9h+RYHE/toD7YupjVX+sAGeaH2Wa7k++grXmN7ufuOBOxG4AtB0bJxPZ+ZfBHLcXE8n7lCCUkCXVEILQzuSraN5wsMVUG/QTiajoPtehiqiqGpOJ5HyXYwVBXX93E9D18IFFlGVxQC2lLHWt8X2J6L5Xp4C1EISZIq61MVFFnGclzKjsNkNs/5sUme6W4nXSzjej6aIhPQ1CXbdH2iVwC6qhDUtKr18Y7nYbuV/wQCeeFz9YXPvf6asu2gL+yP43mIhf0xVAVDvb8OvDfjCx/Hd7B9B4FAQkKVVXRZQ0ZGUEnDNz2TkBJEkZQlkSBXOJievbCsIqw84WH7Dq7vLq5TkzV0WUNCuq39d3xncSILKlkaiiRjKAYyd7ctmixLzEzlmBxP07m1gY6t9YQjBgO9U3z444v86K9Pohsar3/l4OJ79hzqoGtbA1fOjfL+j85hWx6/8OvPU9vwmcht6UgteksIIcjMF/hP//YHDF6b5uDT3bz4+b0IIbh8doQP3jrPYO8k/+2/+jo1dUvNdBzHY2Yqx7f+tx+TrInw9Ms7icQDzE5mK/Wtibubkv2oU7BtZosldFmhM5lYFkEN69qydN475UBzI4PpTn7/xGn+Xz95j+21tbzS3cVzne20xuOEdQ1VXnrdj2Sz5G2L3rk5jo+Oregr0xaPY7uV71GlHK8S8T06NMLRkRGuzc0zVyxTdhwszyNvWYv3sQVXL6CStfLmnl30zc3zVm8fn4yMcqi5mZe2dHK4rZWYYVTu39wQXLNthtJZBPCfT5zk906eotpoSJZlHM9fvMc/ini+j+W6OAv7qMkyuqoulv/ZnocE+AvPmqCqoSgynu9ju5+ZUamyTEBV1xTZX4l1C9imRJRMyWQ2V0SRZQan0zTVxBiazlA0bWbzRQQ+TTUxSpbDp32j/M4PPuarR3bz668+gS8EH14a5C+Pnsfzfd58ei+SBH0Ts/z5h+ewXJd/+sVnqY9HGJlN8x9/dAzb9Xjz6T1safys/u/6NW7aLt965ySXx6Z5adcWvnpkN7qqIARcHp3hTz88w77OJn7phQMEDY3pbIHh2Qy1sfBtNWTW5CiHav/vXM38AcOFv6Poji8sEXjCpLT4O4t/vxldjtESfpWO6JeoCexG5tHq1bgeHNfjxMURjl0Ypnd4htlMgWLZxrJdimZl0Cl8ltyArlOXjBA0lg78VUWmrTGJqsjMZooUS5WZsLLlMD2XR5Yl2hoTi6L3OgFdpaUuseyelC2UmZrPo2sqXc2pZV+2aChAS10c1/O5NjaL7biLAlZTFQLGwrmVQFdVwgspzVC5kWoLA07PExviGVsTC1GbCC/7e8jQ0FQFx/WwLGfJMsf1OXl5hGPnh+kdnmYmXaRYtrAdl0J54RwIqp6DTZZSo9cQ06JMmlPM2fM0BOoYKo3QHekioAQ4l71IxslieibT5gwyEi3BpiWGR/eapJ4gpkWX/T2gGCiSguO72H5lttkTHqPlcVzhUWfULjOukZFpCTahyxqz1jxZJ79svfeavGnxP37nbS6MTzNXKGG5Lkf7R/i9D08QMXRe3rGF//PnniceDPB7H55kcDbN5/f08OrO7sV1/O2Zy7xzuZ/P7+nhywd2cmFsiv/1xx/zlYM7OTc6ybGBMfKmSVsyzuf2bOPnDu4mdMO9aa5Y4scX+/jRhV76Z9K4vkcyFORL+3fw1QM7aUrEeOdyP//5wxOMzGfIlkz+zfffQ1243zzZ2covHt7HKzu2LK7zn/3h9+idmsH1fV7avoXfeP4JdjU3LNv/yxMzfO/MZT7oHSRbNqmPhvnqwV28saeHxnjlvJ8dmeR/f+8TvrRvx8L+jFKwLNprEryxp4evHNxJ6DZT4u4Gs9Ycx+ZP8eHsJ8zZ88S1OAcSe3iu9gjtoRZKXpkzmQt8a+hP+ec9/4SOcBu6VNn+klfiZPosfzn6N/z2tt+kLdSMJmmMlMb4aPZTTmXOUXALJPUkR2oO8Xzt09ToidvazjOZC3w89ynXioOYnkVECdMZbuOrLV+gMVB/1/s0P/faLo68tB1ZkpAW+sU+80olRfPjdy4xfG16yetbOlIIAaWSRSQWxDIdtuxopLnts7GXfMO4qZAzOfnRNU4d6+eb/8fXeOFze6ipq4jdvU90EYuH+Js/PcaZY/0cfnE70fgNpjglm9GBGd548wm++ivPUFNbmey9PnmqrCO4sMlyXN/H8lwkSSKoacsmS5QFAbGR1Eci/NKBfexrauQvz1/knWsDnJ+a4j8fP8lLWzr5+b27ebJ1qRFTyXFwPZ89jQ080dJMWKv+nYgHAuxq+Cxrpmjb/Jt3f8r7A4MkAgEOtTTzhe091ASDBDWNb508zanxiWXrkYBttSn+1edf4+2+fv7u8lV+3HeNt3v7aIhG+PrePby5Zxc1Nxg4ecKn5NhIwJd2bKchEkFbQXi1xGM0RB7dcquxbI6/PneJ0wvHdn9LE1/a2UPUMPhocJj3rg0iSZUU9lQ4zK8/dYjdjfUMpTO8dbWP4yNjCCHY09jA1/fvoTURv8Unrsy6r97GmijpUpnZfIlI0GB0Lsvn9vfQOz5L0bKZzRXxfWhKxkgXynz32AUOb2vnlb3dtNUmgMoFNJsr8s65a/zc03sAifcu9CPLEq/u3cqRnnY0RaY1FePq+CxnBiY40tO+KGArA38F03b4jz/6hPH5PG8c3M4Lu7oIGZUvqi98ynZl1jwSNGhOxamNhuiqr+FgVzPRoLHumqfKzRU0OczW+DdoDD9L2rzAvHWRvDNI2Z3B9Qt4wkZCRpI0VDmILscJqvWE1WaSxg4Seg9BtQFdiSNL2mPRDuZmhBCULYff+fMP+fTCMAFdZUtrLYd2thEN6eiawvfev0DvyMpOebqm/v/bO/MYPc77vn/mnnnva+97l/dNkSKt07ZkR7Gt2PIRw0HstEmM9EBa9J+iQIHmj7YokBZIgSBoi6ZNGjRGEsRxHMeWLx2WdVCiKFK8z12Se5/v7nu/75z9Y959l6slKZKSFVF9PgDBfd933pl5Z56ZeX7X97fBCSFLEslYGCVtNMIbI4Reo7rtIhEac/I7v6dIWKa24UysRibNmEnU0jbYb5qqELUMACrVBv4N0tiSxIZaDlm+ldf9/ZHUtgyNiHmTB0DYw73Z9L25xeY5+OPvHOGNM9fRNYXhniz7t/USjxjomsr3Xz7L5fFbnwPBehJanIQaZ8KfYq4+jyLJlN0KHUYbST3BxdJlCnaRhcYSi3YeUzHJ6Ol1taofNKZiYsjGTT5Zbfe1Njb9IKDm1ZGQMBTjpvsdVSMokoLtV3ADZ8PnHzRRXed3n3yYqu3w4oUxjl2dZHNHlqf3bkeRJZKW2apXsl1vXZR0Fcf3qTthhgKEaW1zxTL/42dHeWTTAL/16AEkJF4fG+eF82PETYPP79sBQKFW509fOcbZqXlG2rN88cAuLE1lvlimJ53A0sPr9dBwL/2ZJOdnF/gPf/8Cv/3oQR4Y6CFq6MRMnVxsvbPg3z/zKcr1Bv/r5TdpOO5N1UHfnpjhb4+fZaFY4esf20dbPMpEvsAPT1+iZjt8ZvdWBnNpPN9nZqXEH//8TR7Z1M83Hz9IEMCR0XGePz9KzNR5eu+HQ6dhsbHEkaVjnCmc5xPtj9JmZCk4RY7mj/Oz+Vd4NHeYodgA3VYHEcXiZOEsOSOL3jzHi408o+WrpPUUXVYHqqQyVZ3mxflXKDplfrnzSRJajLy9wssLR3ADj0dyh+g02+94H4MgYKI6xfPzP6fdyPHV3i+gyzpFp8yKUyCuxpFvIsj2fqOqSsthuvYmtHelUDWFSqmG7/vIzcn4jf+vPqdkWW6VlryTUqHKyWNjKIrM7oNDZNsSqM1040wuxuadPbiOx6VzU+w+MLjOgA0I0HSFJ57eRzoXR9OFJMv7iSJJaLKCHwSUGnbLMbCKHwSt+9n7hSxJxA2D/d1dDKZT/KMD+zk6Mclzl0d57foEy7U6xUaDT21acw6uRuGG0ik+u20LPYnETdetyFKrnMLzfX5y6QpvT88wlEnz5V07eWSwH1NVUWUZWZL47tnzN53jS5KEIkm0xWL8yvatPDLYz1h+mdeujfOzsav86bHjLNfrfHXPLgab4k+yFBr7kiRxuL+Xgz09t6xx1RSZyC2M8PudfLXK2dl5FqtVfu+pJwD4qxOnODM7z6ZshpVanbrr8m+eeAwZ+KNX32BiZYWUZXBudp5ivcG/+/QnCYKA//baUS4sLBI3DZLmvamc330ENp3g/MQ8C8UyuUSEhUKFf/bUQ7x28RrleoP5QpmAgK50nJrtcOb6LKauMl8otyJTpVpYN6spobiOLElcn1/m5LUZJhZXeP70FaD5EFhYYa5QplRbMw4kCRqOx588f4yjVyb54sd28tC2AdKxtYJxWZIY6cxwYKSXk1dnmFwssKOvgz2DXWzraQs9kvcQTQq/I2GqWTQlTlTtps06iOOX8YI6fuAQBH7TYJCRJBUFHUW20OQIupxCV+JIfLhSsj5oHNfjtZPXOHpmnKil86nDWziwvY9YxEDXFGRZ5pW3x26bXuB5/oab8ur7BKEHd9VQlSQJRQlTy2q2s3GyF7DO+FxFkUMlUN8PsB2vNYZb2/J9bNcFQNPe2TNQ+sAjlrIstSYh74br+Rw5dY03zlzHNFSePLSFgzv6m8ZrmF742smr95Sp8P8riqSQ0BLoss5cYx5FDsdEp9lB1sgQVaOU3TLTtRlWnAIdZjuGrP+D3gtkSX7XOttVVlVYA0KBKh8fhfUTZNsPry9FUu54kh4Q4PgOv4jetYosMZBNEQCX5ha5NGvQmYyzq7cjTBNDuqfLVJIkDEXmqV2bGW7LNB2nAc+dv8L56QU+vy9c7vj1KS7MLLC1M8czD+ykO5VAlWWqto2myESbkdpUxCJmGNRdF1mS6Muk2N7dTsIyQufXO3ZyMJfGdl1SEYul8s0VQo+MjrNUrvLQSB+f2rEJS9fY1dNgvlTmxPg0m9qzDObSrd9jqgpP7drCUC4UI3N9nxcvjHFhZuFDY8COlq8xVZthU3yYBzP7iSgmDc9m2V7hSvkqVyvjbIoPk1AT7Exs5UzhAoczB8IU+SA0gKdqs+xKbm9deycL56h4NbYnNnMgvQdd1ql6VaZq01wsXWFzbPjuDFgCyl6FFafIUHSA4dggSS2O7TnU/DoxNYL8ATiuS8Ua46PzXDg9yfz0CtVKHcf2mJ7IMzO5zPDWrve0/kbdYXp8Ccdx+T9/+FOs6JojzHd9VpYrBAQUmq3nbkSWZExLp6s3s67GVvD+ENV1MhELZ8FjolBgb9f67Iy647J0B8rCd4vcjPiaqkpHLEZ7NMquzg6+deIkp2ZmOTo+uc6A7UrEieo6pUaDuuM0a2Fvjx/ApcWw1vTRwQH2dXXSFQ+zSVaFmJZrNRrerRW0VVkmZVkkTJP2WIyhdJr93V38/ksv88KVMR4bHGgZsBFNa0UKF8oVTFW9o/38qFGoN8jXanTEYww0j017LEahVidfrWGoCh3xKAPpFBIQNwwarsd8qcK1/DInp2cxVTVM/67WKNYbrbTwe+EeDNg4kgRTiwW60wkiusZwZwZTU1mp1JlYLKDIEp3pOOW6TbFaZ6C9i6GODJax5pXYN9RN3DSQ5dCoKNUbmLpKf1uazhvq9zZ1hfVTwx2Z1iTD9XzylSozy0XKdZuVSp2G426YBGZiET53cBunr88yvrDCuYk5LkzOs6U7xxcO7yRmGhsicXeDIulYahuW+uETA/mw43o+Z0dnWC5WObijj0O7BlrCQkEQ4PsB5aqN697aQ7hcqlF33HXvhWrDRVzfJxkzWym8hqaSjlsEQcB8vhy2BrihTaDjeiwXqxumz7GIQTYZZaVcY3qxSH9nel0tdrXusLActp/pyiVRf4GtDe6MOx/Pvh9wbmyWfLHKJw9u5vCuATb1hWN59SFQqdk43ke3nuP9RkIiqSWIKCbz9QVUSSWrZ4hrMRJanJSWYNIJDdiiU6LH6g7r896HyeyqIXZjlP39RpEU2o0cc/V5VpwCNa9OTF1LWQ8IWGgs4gYOCTVORAkvslWVWQjrAn3Wjykv8MjbK/i32fMbj9HdJNyvetxh1QgMnZfqeyw41xSFzR0ZRtqypKPh7+xKxUmYBvkbJoYXZhYIgK1dbWztzLWccrF3qAbLkoQiS61nkiyHr2+7n7frXe24XF9cxlAVdvV00t7sERs3DR4Y6OHE9RmmV4o0mg44XVXY0pljU3uWhBV6xLtTCeKGTv5dlLA/SOYbC4xVrlNwijzr/7T1/lRthsnqNAORPvzAJ6Ja7E/v4fjKKWbqc+SMDLbvMF2bxfEd9qZ2tsbUeHWSieoktm8z31gEwnvgZHWa6docZbd8VyJ2EhJtRo7BSD+TtTC62x/ppT/SQ7fV+QuvfwXIL5Y49spljr16GddxaetMks7GURSZes1hca4AcNPWcXeK5wU06g6armJFDKzI+jEdTZj0DuXYsr1nw2eSDJquourvdPwK3g9y0Qgj2QzPXxnjlWvXeXxoAFPTkKXQMTVbKnF2bv7dV3SHBIRaAQGhwbd63+2Ix8hELF6+eo1jE1Pka+vvJbs7O+iMxxjLL3N8aoadHe3EjPUZQQ03bAmoKcqGoIaurheHsj2PtyanmCmVcN5hwAYAzYh0pFmPK0sSMV0nkkkT03XiusFCpULdXZtbpiyT/d1d/OXbp/j51Wsc6OkmZZnrBPaCIKDqOGiK0lrvRw1NllFlmZqzlllVd1yiRqi/oCsKMX1NLExTZAjCWlhdVYgbOiO5DDISm7IZRnIZIvq9R6vv2oDNxqOYmsbY3BJzKyUG2tMYmkpfLsXsconZ5RLDnRmy8SjVhkM8YjLYkeGLH9tFe3J9bd7qAxtCZeKudILHdgzx0Nb+Ddu19LUcfj8IkIBP7BomHbM4Nz5HJmph7dHIJcJtrC67s7+T4c4sk4sFzk7McWJsir9/8zybu9vYO9i1zqgWfLDYTih8Eo+a686D43pcHl8IDc3beGdGJxZYXK7Q15FCVZTwBtJwOH5+Ett26e9Mk46HXrJYxGCoO4vvB5y6PM2hnQPNVOOwuLxQrnPh2tyGiG5HJs6m/hwvHx/lyMmrtKVjxKzQa+/7AXNLRU5fnkFTFfZv7bmvxlNAGFUOgoBE1CByw4TacX2uTCwwly+JPoB3SVKLYykRJmtTGIpBX6QHvamem9bSzEhzzNRnqbgVelN73rdUwlAgRkWRZKpuFT/w33flaF3W2ZnYFoo0lccYjPYTUSxkSSYIAmzf5nThHFW3xqbkMDk9LPtQJZWYGjom5xsLNLw1lUYv8Cg6JUbLY3jBrceaLMnosk7Nq7eivB/UJGFVLOlGVFmiMxlfl6GgNg3QurNmoK9U65iqSsww3pNgxd1Ssx2qtkNU1zYYy+mIBQTUXbdVZqHKMp2J+LpjumpQO7dxJH6QBIQp7FW3RlKLU7yhxjquhsrbfZGwz7Uh6wxF+0lqCa5WrtNn9VB0S8w3FsgZWfqs7tY6y26Fumdje/a6deaMLDkjS1ZP392OSpAzMjySe5CzxQssNvLk7WWuVq4zHB1kf3oXhmzccebDvTB6YYZXfnqGxfkiv/TMA+zY208yHUU3NV589iSzk/n3vA1FkbAielj+9fReOrrTG30qkkQsZhJLWOvfRmr1HRe8/2QiEXa0t9OdiHN0YpLvX7jEtrYcpqqSr9Z4a2qaxerGCGwQBNQch1LDxvE9HM+n3GjgBz5LlSrjKytENR1dDY2V1dTaIAg4MTXDlaU83YnQkWc2ReHmyxWuLOaJGQa970gRHkqneai/j++eK/OzsavEDYMtbVlMVcX2PMq2zWypTGcsxoN9YequLElsa8sR1TUuzC9wdCKs2ff8gKlikR9dvITvBxudf8206b85c5aUaZKLRojqOookUXUcxvLLFBoNBtIp4jdoGMR0nd2dHTw+NMhb09N87/xFFipVOuIxFEmi5roU63UmVgo8uWmEnmQC/SaKy/c7KcukJ5Hg4sIiP70YZsqu1OuM5DJkIxGmC8WbOuNTlsnmXJZSw0aTFRRZwvMDMpEIlvoBGrARQyMVNSnXbcYXV9jUFU5QhjuzXF9YplxvkIpaRAyNqKmzZ7CLq3N5FosVsvEIhqaESlWOhyxLRAmNzc1dOU5cnWZyaYWa3UXcMgiC8CEcBAG6qqA1U9UUWSYTi/Dkns3sGezmT547yrErk8Qsg4/vHCZq6qE6XqWG4/noqkJPNkl7KkYqanLsyiSjs0ts6227rwyOjxKyLDHQlcbQVcZn8oxOLIaS/H4YIf3Ra+ebUfVbr2NyvsCJi5NoqkwqHsHzfcamljhy+hqJmMXWgXYyydCATURNtg21056OceLCJG+eG6fecDANjUrd5uzoDNdm8hu80V1tCfZv7eXEhUl+fOQCPe1JetpTaKpCpW7z5tlxTl6aYrArw+Fdg0RMnVrj3uv+giCgYbthTZsfkC9WsR0PAihW6iwXqhi6iqrIGLqK9h6ELmRJor+zeQ5ml7k8vtCKfi+slPnRaxeo2w7SO7IUgiDADwKqdQevqbhXroXqrY7rsbhSDuumZAlDU9G0jV7TjzJJLUFUjbDYWMJQDHYltrWijxk9hSarTFWm8QnotbpRpLX+dU7gNI0zj5JbxmmqrFbcKgWniC7rqJIS/i+vv31LkkRUsUhqSRbtJS6XxsgaaWRJwQ88Ikpkg9Lw3aLLOnuTuziaP87l8hg5I4sX+EQUEzfwWGws8frSmxiKwZb4JtrNXOt7HWYbEcVitHKVy+Ux3MBr1QhfKV9lpj6HH9zcUApbq4RRrSvlMSaqU1y3JogoYZ9CH59Os72liHyvhNHP8D50I8XaxlQnSZLQlXePHplaOImzXfeOjO7VCcDNyiPuBrkZZV6t372RSsMGScJUNbTmRGu1hdeHPRomI5M1Mnwsc5DD2QMbPtdlvWUYRtUoOxLbGK9MsZhYYr6+RMmtsD2xBUMJozwBYbp7j9XJ420PsSOxsS2Rpdx5KzNYO4e7ktsZiQ0yWZvhfPESF4qXOVu4QJuRZSDa2xKW+kUwcXWB2akVhrd18tmvPIjenOu4rke9alOr2bf8rqLIyIpM4Ae4t3FgmpZOz0AbF05PYlk6fUO5Da1v3us4FtwbpqqypS3H53ds529On+Uv3j7FQCpFTNep2DaKLLO7s53nr6zvt+z5PqNLeV4fn6DebENzfXkF2/V4e3oG1/eJ6hppy2JvVyfb2ttaPVNPzc7ynTPnSFkmmUiEmK7j+T5TxRJV2+FgbzcPD64PUJmayqe3jFBzHV4YvcpfnDzFQDpFVNOouy7FRoOVao1PjAyxrztMeZdliQd7e9jX1cmp2Tm+ezYUFfL9gIVKBdf32dnZTn1q/X1v9ff94PxF6q5LJhIhaYYtfqq2w0ShSMYy+dy2retqcRVZpiMe45uHDxC8EXB0YpIrS0u0RaNhOYhjU6g1yFer7OnqpCuxURTxo0DMMNjclmWuXOb45BQBMJzNsL2jjZiu0xGPcWMW4FAmQ3ssRsoy2d7RTtVxODE1HTq8CRjOZshGLO4mc/BG7qlqPpuIEgQwvrDCk3vCZvLDHRlev3gdgFw8jIKmoxafP7SdP/jey/z4xEUWCmXScYtK3aFUa5CJWXxi9wgS8NiOIa4vLnP08gSqrDDSlQkjXIUyhqpyYKSHnuzGyVdPJsFXHtrNn790ghdOXSEbj3BgpAdJkjgzPsd0vkjcMkhFTRqOx9nx2WaqcuquWugI3l80ReHQ7gFePHaZk5emqNRthnuy2I7H9dllFpZLDPdmsZ2NNyAIJ2dDPVleP32d05en6cwlqNsO58fmqNsuX/j4bjb3rzkoDF2lvzPD5x7byfdeOsO3nj3GSG8ubLFTqpIvVhnqzjL5jjY68YjJ3i3dPPXwdr7z/En++1+/wnBvDsvUWciXmFookIyafPGJPQx0pVEU+T0ZsJ7nc3V6iatTeeq2w1KhyuJKGc8POHFhklKlTtQyyCQjDPdk6W57DwpuisyhXf28dPwypy9PU63bjPTmcFyP6zPLzC+XGOoOz8mNBEFAtWZz7NwEpWqdesPl3NgstYZNvljlx0cuYOkapqEy1JOlryNNLHIzkaCPJgk17ONadivM1xcY6Pw0qhyOw1XBpvnGIu1Gjm6rs2V0+fhM1+ZaqYwlt0zeXsELPC6WrmD7NpZikdTi9Fg9dJgbSxeyRoYdia28kT/GX018J1RflXXcwGVrfDOP5j72nn6bKit0mO082f44P517kZ8vvMb54iWyepqG32CiOkXVq/F42yNsS2wm2kwvNhS91bv1YukKP5z9Cd1WF6ZskreXydvLDMeGKCzfvifh7uQOFhtLHFs+znRthjYji0cYaf5a35eIqO+tLimia/hBwHK1Rt1xkCWJuuMyvrRC1b71hP92DGbTvHVtiol8gXy5GgoINutLA8Ieh6sOnjDtTkZVZMoNO2w74HlhtEqSNpa83GAcvNNMSFgmXck4V5eWGVvIM9KeQZUVbM/j/MwCEV0jF4t86J6DwQ3/3vmrJCQyRoaIYrLQWEJpOnMgjOSHxuias0yRZB5I7ebPixeYrM0wV1/AD3y2xTetW2eX2cG1yjgFp4QqqWiyRthZwGu21LmNA+4mKfur2Qh+4CNLCkORfvqsHoai/fzvsW9xsXyFDrPtjttnrbaW832/ZVQGQYDn+TiOi2O7a/oH0prmg9ZMz63XHHw/XH5pvsi1K3MU8pVbbi8SNYhEDRbnCsxO5sl1JMIomx9gmFpLqCmetNh3eJhXnz/Lq8+fIxIz6B3MrRm/roddd0llo0Kk6R+ArkScX9u3h5Rl8sLoGDPFEsV6g12d7TyxaZiYrnNlMU/SXGsP6Po+5xcW+MtTZ9atqzMRZ7pUYroUZihkIxEUSWJzLttqjbO/u5ulao1Li4tMrBRwXI+YqdMZi3Noay+PDQ0wks1s2M/BdJqv79/Hjo52XrgyxqXFRUp1m6ih0RaN8omRYR4dHCDaTDeVJYneVJJvHjrIsxcvcXxqmtMzs8QNg52d7Xx1z24mCwVszyNhmmulFpKEqig8s2sHJ6ammSgUWFgqIyORsix2d7bzqU0jHO7vI/aODhemqvJAdzf/9omP85NLo7w1NcX15ZWwXM006ErE+ey2LQykU7dUKP4o0BGP8eU9O2/62WPDg+tef23/7tbfKQue3rGNp3fcff/2W3FPd5S2RJSEpVOq2a0I7EhnONFNRU3amqnCUVPnkW1DGKrKt187zR/+4FUqdZtExGBXfyfPfGztIGzrbecff/JBfvL2Rf7u6Flm8kVURaE3m+Dzh3asPeDZqO66va+DX3lwB99+7RTfeukEPdkkXek4miJz5OJ1zo3PUa7bGLrKps4sv/74Azy0deCmPfMEHwyKIjPYleGf/uoj/N3PTnP8/ASnL0+TjFns29rLv/q1jzM6ucjicnldFHa1N1fE1PknX364Fa199e0xbMejpz3Jl57cy9OP7iQeXa9slk5E+I2nD5GOW/z49YucvjKNLMtsH+zgK0/uY9tQB6+fvrYhQtKVS/K1X9rPUFeG7710hpMXp6jZDrlklAd39PPUQ9t4YHvfuu/IzTG6TtKpmY53w700nJRKa2JPDcflBy+f42+eP7nhmD37yrnW30O9Wb766f0884ndzXVJrXXdzJclNbdPsObrkmWZga4Mv/PlR/jez05z7NwEZ67MkIhZ7N3Sw7/42uNcnV4i//fVdefA9XymFgr8/p89R6FUX7edStXmj/7y5dbrZz65hy89sYfN/f//1IlHtTDSqTWN1v5oH5q8GoFNk9RCz25MjZIx1h7mtu9wZOkNfjDzkw3rPLJ0lCNLRwHoNDt4quMJPt35yQ3LdVvdfKbr0+iyxtsrp3lj6RiSJJHRM/SY6wVbpNZ4ubn3c/VakySZGz2kkiTxcO4wOSPLa0tvcLpwntHyVXQ5NFKfafsc+1K7W8ZruC6JuBrjt4a+wbMzP+FM4TxnC+eRJYXBSD+f7fwltiW2cLF46bb1wI+3PYIma7yxdIzR8jXOFS9gqRZ9Vg/eLaK3d0NPKsGR0QlevXyN4bY0cdPk9dFxToxP31Tl9054bMsgL1++xnPnr+B4Hp/cNkxE15gtlqk7Lvv7u8k2FYZlScLUVdrjUV6+dI3BbJquVBxdVUiYJgnLaPVADIKg2XMwzIjwvADP9284bxIPb+pnPL/C90+eJ6rr9GaSXJxd4Htvn+eJbcNs6/pwXJerUbqAADfwWunvq3/Dao23xNb4COPVCd5cPkFCj7MnuYMgCFhoLFHz6vREuhiODgBhtHZrYhNxNc6J5dM0vAYjsUH6I73rtn8gvZfJ2jRHlt5ElVU2x4bwA5+Z2hxu4LE1PkK72dY89gFe4GP7YV2eh4ff2s/wmgoIOFe8RNEpkdFTpPQkDb/BaPkatm+T1TN3pTwe+AH1ms1KvkKtajM9vki9alNcrjB5bRFFlYlEDVKZGLquggQ9/VnS2RgXT0/wnf/7Ktv39LG0UOKF75+kVKxiWLfOPmvvStLZk+boy5f49p+9wvJiGU1XqFZt9h8eoXcwzKyIJSwOPLyJQ49u4aUfn2ZmYoldDwySbouHbXKuL3L+7Qn+9X/6Cn1DOWHEfsBIQNI0+Nre3Xxt7+6bLvP93/zGutempvHVPbv56p6bL3+7bR3u7+Vwf++7LnszMhGLT20aWSfw9G7s6GhnR8fNxdU257J8cmR43XsSYanE1/fv5ev79971PkqSRH8qxTcPHeCbbMz+EHywSME95Hc0HJdyPZTlTscsZCnMZ16u1MKCaFNv9dkMgoCG61Gth97k1ZosXVWIGBrGDQ3fHTdspl63w3YFkhSG7iOGhtls0u54HtWGg+245BLR1ncbTtg3NACSERNFlmi4HpW6jdPcLlLYd9PStVa7HcE/LLbjUq3bNByPwA+QZQldC/uluq5PudYgYupEzPB8eb5Pte5QrTVIJyJ4fkCt7uC4LkEQGsZhKxm9OYlb21Y40sPU11rDwW0W+GuqgtXsk7q4UiFq6URMfZ2Dw/cDGs19DcdTWB+mayqWoa1TJ/b9gGKljut5RC0Dy9BCVbxiDc/3iUcMTEPDaV4XtYZDNhlFVWSCAErVOpXbpHet7nPE1Ik207VqdZtyzUZVZKJWqCJ8Iw3bpVxrQADRiI55Q+F8eA4cGo5L4AdIsoSuKcQs44ZzsHZMgyDA9XyWCpWbKjffSNTUiVj6e0p1vt8ICGh4DcpuBQmJlJ5sibZ4gU/Nq1HzamiSSrKZ0isRKthWvSo17/aCOYqkYCkmlmJt+CwIwsl13a+3IkDQVPyUTSKq1Vqu4TeoejU0ScNSzA0pybZvU3GryJKMpZgbokWO71D3GjiBgx/4zRpcBVMx0WVtQ33f6uS/5tWwfQcvCCOLqqxiyDqarLFsFzAVA1M2UeWNY2Z1vxu+jeu7zeiY1FR/jr9rTeF3T5zj+XOj7Ovv4rcfO7jh85VqjefOjfLs6QvMFcrIksTOng6G2zIcvz7FU7u28MUHdvLW9Sn+yw9/zuNbBvnGww8QN8MMg7euTfK3J85RbTj8wdc+B4Qpa5fmFnn+3Civj46zWK4QAAnT5DN7tvDZ3Vtb/VghTFd+9co1vvX62yyVQ2XHj4308bk929jd20m53uDbb53lR6cvslSpslyp4QcBCdMgbhkMZTP8xy99moRlUndcjl+f4sdnL3NyfIaKbZO0TB4a6efpvdsZbkujKQpHxyb4rz99lY9vHeIbD+1vKSMfvTrB3504h+P6/Oevfua2x/a9EAQBP5x9jjfzb7No56m4FVzfJaZGMRWTvkgPv97/ZdrNNlzfZbo+x/Hlk5xcOcuSvYwiySTUOLtTOziU2d8yUFenN9+b/hGvLr5BVI3yZPtjPJI7vO757/gOo5VrvJU/yYXSZYpOCUVSSGlJDmcf4EB6Lzkjy7XKBC/M/5zThfPYvs2KUwyvK8Ukrac5mNnL57t/GT/wOVM4z0sLrzFZm6bh26Ggm5FhV2IbT7Y/hqmYd1wDuzhf4NXnzvHXf/IyfhDg2C7VSiN83kXC3uLJdJRf+52Pc/DRrVgRnVq1wVuvXeH575/k2uVZXMcjmY7ywEObGNjUzpEXzhONm/zL3/vChjY5vu9zfXSen//4DEdePE+5WEOWJbLtSX7jd59k/+GR1vEN/IDiSpUXnz3FidevMDW+RKPhYBgamVycke1d/OpvPkY6E0NubufUm1f5i//5M5YWivzRX/3zVnqzQCAQ3Cn3ZMAKBAKBQHC/sVCqsFypETN1ulMb+w36fpg+PF8sU2mmDCctk7hpUKw1SEct2uJRSvUG15dWSEVMOhPxlrOrWKuzWK7i+T6bO3Kt9TZcl6VylaVylbrjEgC6ItMWj5GLR9apWXq+T7luM7lcoOY4oRMkYtKeiBE3DVzPZ6ZQYqFUxrmhldhqRN3SNbZ25lq1reV6g4VyaOi6voeuKOTiUdpi0ZajuVirM5EvhL8nGW9lPBVrdRZKocG9qT37vp+PVcII6iIrTrFZ9x2yGk02ZZMeqwtDafbr9R1KzZ6qDb8ROkIklYQWJ6klMJX1JQtLjTx5ewVVVsnoqVYWxI3UvQZFp0jBKeEE4XHXZY2UliSuxdFljapbY8nOU3LL6yLyYWRHJaUl6DDbQwV3r0q+sUzNr+MFHjIyhmKQ1BKkteRdOdDthsPyYpmZ2wgvqZpCd1+WZCYatowLAsrFOksLRcrFOp7no+sK6VycSNRgeamMJEn0DeVuui+NukNhuUJ+oYTdcEEC3VDp7suSSK2l6q+Ov+WlMitLFWrVRtgeUZYxDJVYwiLXGSr0r26nXKwxN72CY7ts2dVzx63fBAKBYBVhwAoEAoFAIBAIBAKB4L5AuL0EAoFAIBAIBAKBQHBfIAxYgUAgEAgEAoFAIBDcFwgDViAQCAQCgUAgEAgE9wXCgBUIBAKBQCAQCAQCwX2BMGAFAoFAIBAIBAKBQHBfIAxYgUAgEAgEAoFAIBDcFwgDViAQCAQCgUAgEAgE9wXCgBUIBAKBQCAQCAQCwX2BMGAFAoFAIBAIBAKBQHBfIAxYgUAgEAgEAoFAIBDcFwgDViAQCAQCgUAgEAgE9wXCgBUIBAKBQCAQCAQCwX2BMGAFAoFAIBAIBAKBQHBfIAxYgUAgEAgEAoFAIBDcF/w/toLODn02DWoAAAAASUVORK5CYII=",
"text/plain": [
"<Figure size 1200x600 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"\n",
"def get_word_frequencies(data):\n",
" \"\"\"\n",
" Computes the word frequency distribution for a dictionary of documents.\n",
"\n",
" Args:\n",
" data (dict): A dictionary where the keys are document IDs and the values are dictionaries\n",
" containing the 'text' field with the text of the document.\n",
"\n",
" Returns:\n",
" FreqDist: A frequency distribution object from the nltk.probability module.\n",
" \"\"\"\n",
" \n",
" word_freq = FreqDist()\n",
" stop_words = set(stopwords.words('english'))\n",
" for doc_id in data:\n",
" text = data[doc_id]['text']\n",
" tokens = word_tokenize(text)\n",
" \n",
" # Remove stopwords and punctuation\n",
" clean_tokens = [token.lower() for token in tokens if token.lower() not in stop_words and token not in string.punctuation]\n",
" \n",
" # Update word frequency distribution\n",
" word_freq.update(clean_tokens)\n",
" \n",
" return word_freq\n",
"\n",
"def plot_wordcloud(word_freq):\n",
" \"\"\"\n",
" Plots a wordcloud of the word frequency distribution.\n",
"\n",
" Args:\n",
" word_freq (FreqDist): A frequency distribution object from the nltk.probability module.\n",
" \"\"\"\n",
" \n",
" wc = WordCloud(background_color='white', max_words=100, width=800, height=400)\n",
" wc.generate_from_frequencies(word_freq)\n",
" plt.figure(figsize=(12, 6))\n",
" plt.imshow(wc, interpolation='bilinear')\n",
" plt.axis('off')\n",
" plt.show()\n",
" \n",
"word_freq = get_word_frequencies(data)\n",
"plot_wordcloud(word_freq)"
]
},
{
"cell_type": "code",
"execution_count": 16,
"id": "74f6c6e7",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import matplotlib.pyplot as plt\n",
"from collections import Counter\n",
"import collections\n",
"\n",
"\n",
"stop_words = set(stopwords.words('english'))\n",
"\n",
"all_words = []\n",
"for doc_id in data:\n",
" text = data[doc_id]['text']\n",
" words = nltk.word_tokenize(text)\n",
" words = [w.lower() for w in words if w.isalpha() and w.lower() not in stop_words]\n",
" all_words.extend(words)\n",
" \n",
"# Get the word frequency distribution\n",
"word_freq = Counter(all_words)\n",
"# Remove stop words\n",
"for stop_word in stop_words:\n",
" del word_freq[stop_word]\n",
"\n",
"\n",
"# Get the 20 most common words\n",
"most_common = word_freq.most_common(20)\n",
"\n",
"# Create a horizontal bar chart\n",
"words = [word[0] for word in most_common]\n",
"counts = [word[1] for word in most_common]\n",
"plt.barh(words, counts)\n",
"\n",
"# Add labels and title\n",
"plt.xlabel(\"Count\")\n",
"plt.ylabel(\"Words\")\n",
"plt.title(\"20 Most Common Words\")\n",
"\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"id": "0c11622f",
"metadata": {},
"source": [
"#### Non-ASCII Characters"
]
},
{
"cell_type": "code",
"execution_count": 14,
"id": "d274a876",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"File: 19860925.txt, Non-ASCII characters: ['×', '\\u200b', '\\u200b']\n",
"File: 26361640.txt, Non-ASCII characters: ['μ', 'μ', '\\u200b', '’']\n",
"File: 26228535.txt, Non-ASCII characters: ['μ', '–', '’']\n",
"File: 23678274.txt, Non-ASCII characters: ['µ', 'µ', 'µ', 'µ']\n",
"File: 25853982.txt, Non-ASCII characters: ['×']\n",
"File: 28103924.txt, Non-ASCII characters: ['–', '–', '–', '’', '’', '’', '–', '’']\n",
"File: 27064109.txt, Non-ASCII characters: ['×', '–', '–', '–', 'μ', '–', '–', '’', '’', 'β', 'λ', '’', 'β']\n",
"File: 20146086.txt, Non-ASCII characters: ['–', '–']\n",
"File: 28353558.txt, Non-ASCII characters: ['γ', '\\u200a']\n",
"File: 22515939.txt, Non-ASCII characters: ['\\u200b']\n",
"File: 28353588.txt, Non-ASCII characters: ['×', '×', '\\u200a', '\\u200a', '\\u200a', '×', '\\u200a', '\\u200a', '×', '\\u200a', '\\u200a', '–', '\\u200a', '\\u200a', '–']\n",
"File: 26309459.txt, Non-ASCII characters: ['µ', 'µ']\n",
"File: 28272235.txt, Non-ASCII characters: ['’', '\\u200a', '\\u200a', '×', '\\u200a', '–', '\\u200a', '×', '\\u200a', '\\u200a', '–', '\\u200a', '\\u200a', '\\u200a', '–', '–', '’']\n",
"File: 23242090.txt, Non-ASCII characters: ['\\u2005', '\\u2005', 'ö', '\\u2005', '—', '—', '\\u2005']\n",
"File: 23312850.txt, Non-ASCII characters: ['–', '–']\n",
"File: 26106249.txt, Non-ASCII characters: ['’', '’', '’']\n",
"File: 26313770.txt, Non-ASCII characters: ['α', '\\u200a', 'μ', '\\u200a', '\\u200a', '×', '\\u200a', '\\u200a', '\\u200a', '×', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '×', '\\u200a', '\\u200a', 'μ', '\\u200a', '×', '\\u200a', '\\u200a', 'μ', '\\u200a', '×', '\\u200a', 'μ', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '×', '\\u200a', '\\u200a', 'μ', '\\u200a', '×', '\\u200a', '\\u200a', 'μ', '\\u200b', '\\u200a', '×', '\\u200a', '\\u200a', 'μ', '\\u200a']\n",
"File: 18416479.txt, Non-ASCII characters: ['\\u200b', '×', '×', '×', '×', '\\u200b']\n",
"File: 28353613.txt, Non-ASCII characters: ['\\u200a', '°', '\\u200a', '\\u200a', '\\u200a', '°', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200b', '\\u200a', '\\u200a']\n",
"File: 28151916.txt, Non-ASCII characters: ['\\u200a', '×', '\\u200a', '\\u200a', '×', '\\u200a', '\\u200a']\n",
"File: 26175648.txt, Non-ASCII characters: ['°', '–', '\\u200b']\n",
"File: 23468586.txt, Non-ASCII characters: ['μ', '–', 'μ', 'μ', '–', 'μ', 'μ', 'μ', 'μ', 'μ']\n",
"File: 28216610.txt, Non-ASCII characters: ['–', '°', '×', '×', '–']\n",
"File: 27059701.txt, Non-ASCII characters: ['\\u2009', '×', '\\u2009', '’', '’', '\\u200b']\n",
"File: 28121940.txt, Non-ASCII characters: ['–', '\\u200a', '\\u200b']\n",
"File: 27741115.txt, Non-ASCII characters: ['°', '\\u200b', '–', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', 'μ']\n",
"File: 21067996.txt, Non-ASCII characters: ['\\u2009', '\\u2009', '\\u2009', '×', '×']\n",
"File: 28100235.txt, Non-ASCII characters: ['’', '\\u2009', '×', '\\u2009', '–', '–', '’']\n",
"File: 28151860.txt, Non-ASCII characters: ['\\u200a', '\\u200a']\n",
"File: 25884600.txt, Non-ASCII characters: ['–', '–', '–', '\\u2009', '\\u2009', '×', 'μ', 'μ']\n",
"File: 27904130.txt, Non-ASCII characters: ['’', '’']\n",
"File: 18787726.txt, Non-ASCII characters: ['×']\n",
"File: 22719160.txt, Non-ASCII characters: ['β']\n",
"File: 28422883.txt, Non-ASCII characters: ['\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', 'μ', '\\u200a']\n",
"File: 26675562.txt, Non-ASCII characters: ['–']\n",
"File: 21477357.txt, Non-ASCII characters: ['°', '\\u200b', '×', '\\u200b', '\\u200b', '\\u200b']\n",
"File: 25139918.txt, Non-ASCII characters: ['\\u2005', '\\u2005', '\\u2005', '\\u2005', '−', '\\u2005', '\\u2005', '\\u200b', '\\u2005', '\\u2005', '\\u2005']\n",
"File: 28353561.txt, Non-ASCII characters: ['\\u200a', '°', '\\u200a', '\\u200a', '\\u200a', 'μ', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a']\n",
"File: 22791498.txt, Non-ASCII characters: ['\\u200b']\n",
"File: 28538413.txt, Non-ASCII characters: ['\\u200a', '\\u200a', '×', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a']\n",
"File: 27842605.txt, Non-ASCII characters: ['ɤ', '\\u200b', '“', '”', '\\u2009', '×', '\\u2009', '\\u2009', '×', '\\u2009', '\\u200b', '–', '–', '–', '\\u200b']\n",
"File: 20671919.txt, Non-ASCII characters: ['\\u2009', '\\u2009', '\\u2009']\n",
"File: 26469535.txt, Non-ASCII characters: ['–']\n",
"File: 28353604.txt, Non-ASCII characters: ['\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '–', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '’', '’', '–', '–']\n",
"File: 28403092.txt, Non-ASCII characters: ['\\u200a', '×', '\\u200a', '\\u200a', '×', '\\u200a', '\\u200a', '“', '”', '\\u200a', '\\u200a', 'μ', '\\u200a', 'μ', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', 'μ', '\\u200a', 'μ', '\\u200a', '\\u200a', 'μ', '–', '\\u200a', 'μ', '–', '\\u200a', 'μ', '\\u200a', '\\u200a', '\\u200a', '\\u200a']\n",
"File: 28239141.txt, Non-ASCII characters: ['°', '°', '×', '×', '–', '–', '–']\n",
"File: 28202869.txt, Non-ASCII characters: ['μ', '・', '・', '・', '・']\n",
"File: 25024632.txt, Non-ASCII characters: ['×', '\\u200b', '\\u200b']\n",
"File: 28403086.txt, Non-ASCII characters: ['\\u200b', '\\u200a', '\\u200b']\n",
"File: 18666334.txt, Non-ASCII characters: ['®', '\\u200b']\n",
"File: 25572898.txt, Non-ASCII characters: ['–', 'µ', 'µ', '–', '–', '×', 'μ', '–', '×', 'μ', '\\u200b']\n",
"File: 28296775.txt, Non-ASCII characters: ['–', '\\u200a', '\\u200a', '×', '×', '\\u200a', '“', '”', '\\u200a', '“', '”']\n",
"File: 22514576.txt, Non-ASCII characters: ['–', '–', '–', '–', '–', '–']\n",
"File: 26584481.txt, Non-ASCII characters: ['β', 'μ', 'μ', 'μ', 'μ', 'μ', 'α', 'β', 'μ', 'μ', 'μ', 'μ']\n",
"File: 28296749.txt, Non-ASCII characters: ['×', '×', '\\u200a', '×', '\\u200a']\n",
"File: 19860007.txt, Non-ASCII characters: ['×', '×', '\\u200b', '×', '\\u200b', '×', '\\u200b', 'β', '\\u200b', '\\u200b', 'β', 'β']\n",
"File: 28190872.txt, Non-ASCII characters: ['™']\n",
"File: 25743872.txt, Non-ASCII characters: ['\\u2005', '\\u2005', '\\u2005', '\\u2005', '\\u2005', '°', '\\u2005', '\\u2005']\n",
"File: 26523273.txt, Non-ASCII characters: ['℃', 'α', 'β', 'β']\n",
"File: 28193213.txt, Non-ASCII characters: ['’', '’', '’']\n",
"File: 28120581.txt, Non-ASCII characters: ['×', '×', '×', '×']\n",
"File: 26670309.txt, Non-ASCII characters: ['’', '’', '®', '®', '°', '’', '’', '’']\n",
"File: 26336183.txt, Non-ASCII characters: ['\\u2005', '–', '\\u2005', '–', '\\u2005', '–', 'γ', '\\u2005', '\\u2005', 'μ', '\\u2005', 'μ', '–', '\\u2005', '–', '×', '\\u2005', '–', 'é', '\\u2005', '\\u2005', '\\u2005', 'μ', '–', '\\u2005', 'μ', '–', '\\u2005', '\\u2005', '\\u2005', 'μ', '\\u2005', 'μ', '\\u2005']\n",
"File: 25410883.txt, Non-ASCII characters: ['–', '’']\n",
"File: 26530965.txt, Non-ASCII characters: ['–', '–', '∼', '–', '–']\n",
"File: 28057913.txt, Non-ASCII characters: ['’', '’', '≤', '’', '–', '–', '–']\n",
"File: 20977862.txt, Non-ASCII characters: ['\\u200b', '\\u200b']\n",
"File: 25721834.txt, Non-ASCII characters: ['\\u2005', '\\u2005', '\\u2005', '–', '\\u2005', '–', '\\u2005', '–', '–', '×', '–', '×', '–', '×', '–', '’', '\\u2005', '\\u2005', '\\u2005', 'µ', '\\u2005', '\\u2005', '\\u2005', '\\u2005', '\\u2005', '\\u2005', 'µ', '\\u2005', '\\u2005', 'µ', '–']\n",
"File: 19860006.txt, Non-ASCII characters: ['\\u200b', '\\u200b', '\\u200b']\n",
"File: 23155491.txt, Non-ASCII characters: ['‘']\n",
"File: 28207542.txt, Non-ASCII characters: ['\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '×', '\\u200a', '–', '\\u200a', '×', '\\u200a', '\\u200a', '–', '\\u200a', '–', '\\u200a', '–', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '×', '\\u200a', '–', '\\u200a', '×', '\\u200a', '\\u200a', '×', '\\u200a', '–', '\\u200a', '–', '\\u200a', '–', '\\u200a', '–', '\\u200a', '–', '\\u200a', '\\u200a', '\\u200a', '–', '\\u200a', '\\u200a', '–', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200b']\n",
"File: 23864579.txt, Non-ASCII characters: ['™']\n",
"File: 26361431.txt, Non-ASCII characters: ['\\u200b', '\\u200b', '×', '\\u200b', '\\u200b']\n",
"File: 28100279.txt, Non-ASCII characters: ['°', '’']\n",
"File: 26683938.txt, Non-ASCII characters: ['μ', '\\u200a', 'μ', '\\u200b']\n",
"File: 18258107.txt, Non-ASCII characters: ['°', 'μ', '’', '–']\n",
"File: 22665582.txt, Non-ASCII characters: ['’', '×']\n",
"File: 28248858.txt, Non-ASCII characters: ['\\u200a', '\\u200a', '\\u200b', '\\u200a', '×', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a']\n",
"File: 25293719.txt, Non-ASCII characters: ['\\u2009', '\\u2009', '\\u2009', '\\u2009', '\\u2009', '\\u2009', '\\u2009', '–', '\\u2009', '\\u2009', '\\u2009', 'μ', '\\u2009', '\\u2009', '\\u2009', '–', '\\u2009', '\\u2009', '–', '\\u2009', '\\u2009', '\\u2009', '∼', '\\u2009', '\\u2009']\n",
"File: 21308977.txt, Non-ASCII characters: ['–', '–', '’', '–', '−']\n",
"File: 22814979.txt, Non-ASCII characters: ['\\u2005', '\\u2005', '\\u2005', '\\u2005', 'μ', '–', '\\u2005', 'μ', '\\u2005', '\\u2005', '\\u2005', '\\u2005', '\\u2005', '\\u2005', 'μ', '\\u2005', '\\u2005', '\\u2005', '\\u2005', '\\u2005', 'β', '\\u2005', '–', '\\u2005', '\\u2005', 'α', 'β']\n",
"File: 18561524.txt, Non-ASCII characters: ['®', '®', '−', '°', '–', '–', 'μ', '–']\n",
"File: 26444414.txt, Non-ASCII characters: ['–', '\\u2009', '×', '\\u2009']\n",
"File: 21923918.txt, Non-ASCII characters: ['\\u200b', '\\u200b']\n",
"File: 23035161.txt, Non-ASCII characters: ['\\u2005', '\\u2005', '\\u2005', '°', '\\u2005', '\\u2005', '\\u2005', '\\u2005', '\\u2005', '\\u2005', '\\u2005', '\\u2005', 'µ', '\\u2005', 'µ', '\\u2005', '\\u2005', 'µ', '\\u2005', '×', '\\u2005', '\\u2005', '\\u2005', 'µ', '\\u200b', 'δ', '\\u2005', '\\u2005']\n",
"File: 24898994.txt, Non-ASCII characters: ['\\u2005', 'ü']\n",
"File: 28265107.txt, Non-ASCII characters: ['–']\n",
"File: 27974938.txt, Non-ASCII characters: ['°']\n",
"File: 24526194.txt, Non-ASCII characters: ['\\u2005', '\\u2005', '\\u2005', '\\u2005', '\\u2005', '\\u2005', '\\u2005', '\\u200b']\n",
"File: 25858931.txt, Non-ASCII characters: ['\\u2005', '\\u2005', '\\u2005', 'µ', '\\u2005', '\\u2005', '\\u2005', '–', '\\u2005', '\\u2005', '–', '\\u2005', '–', '\\u2005', '–', '–', '–', '\\u200b', '\\u2005', '\\u2005', '\\u200b', '\\u2005', '\\u2005', '\\u2005', '\\u2005', '–']\n",
"File: 28090049.txt, Non-ASCII characters: ['℃', 'μ', 'μ']\n",
"File: 28115731.txt, Non-ASCII characters: ['–', '°', '°', '−', '’', '−', '–', '\\u200b', '’']\n",
"File: 17803823.txt, Non-ASCII characters: ['×', '×']\n",
"File: 24294397.txt, Non-ASCII characters: ['’', '’', '\\u200b', '’', '’', '’', '’', '’', '’']\n",
"File: 27683825.txt, Non-ASCII characters: ['\\u2005', '\\u2005', '\\u2005', '\\u2005', '\\u2005', '\\u2005']\n",
"File: 25661749.txt, Non-ASCII characters: ['‘', '’', '\\u2005', '\\u2005', '‘', '’', '\\u2005', '×', '\\u2005', '×', '\\u2005', '–', '\\u2005', '\\u2005', '\\u2005', 'µ', '\\u2005', '\\u2005']\n",
"File: 28196820.txt, Non-ASCII characters: ['–', '–', '\\u2005', '\\u2005', '\\u2005', '\\u2005', '\\u2005', '\\u2005', '–', '\\u2005', '\\u2005', '\\u2005', '€', '\\u2005', '\\u2005', '\\u2005', '\\u2005', '\\u2005', '\\u2005', 'µ', '\\u2005', '\\u2005', '\\u2005', 'µ', '–', '\\u2005', '\\u2005', '\\u2005', '\\u2005', '\\u2005', '\\u2005', '\\u2005', 'µ', '\\u2005', '\\u2005', '\\u2005', '\\u2005', '\\u2005', '\\u2005', '\\u2005', '\\u2005', '\\u2005', '\\u2005', '\\u2005', '\\u2005', '\\u2005']\n",
"File: 28248891.txt, Non-ASCII characters: ['–', 'π', 'π', 'α', 'α', '–', '\\u200a', '\\u200a', '\\u200a', '–', '–', '–']\n",
"File: 18236639.txt, Non-ASCII characters: ['μ', 'μ', '≤', 'μ']\n",
"File: 28033278.txt, Non-ASCII characters: ['μ', '–', 'μ', '\\u200a', '–', '\\u200a', 'μ', '–', 'μ', '\\u200a', '–', '\\u200a', '\\u200a', '–', '\\u200a', '\\u200a', '–', '\\u200a', '\\u200a', '–', '\\u200a', '\\u200a', '–', '\\u200a', '\\u200a', '–', '\\u200a', '\\u200a', '–', '–', 'μ', '\\u200a', '–', '\\u200a', '\\u200a']\n",
"File: 21672201.txt, Non-ASCII characters: ['≥', '\\u200b', '°', '\\u200b']\n",
"File: 21254744.txt, Non-ASCII characters: ['–', '–', '–', '–', '–', '–', '–', '–', '–', '–', '–', '–', '–', 'Ⅱ']\n",
"File: 28079821.txt, Non-ASCII characters: ['μ', '\\u200a', 'μ', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '½', '\\u200a', 'μ', '\\u200a', '–', 'μ']\n",
"File: 24957905.txt, Non-ASCII characters: ['’', '’']\n",
"File: 27196481.txt, Non-ASCII characters: ['\\u200b', '\\u200b']\n",
"File: 26266396.txt, Non-ASCII characters: ['\\u200b', '\\u200a', '\\u200b', '\\u200b', '“', '”', '\\u200b', '\\u200b']\n",
"File: 24518095.txt, Non-ASCII characters: ['–', '′', '′', '′']\n",
"File: 26350418.txt, Non-ASCII characters: ['–', '–', '–', '–', '–', '–', '–', '–']\n",
"File: 23897372.txt, Non-ASCII characters: ['\\u2005', '\\u2005', '‘', '’', 'λ', '\\u2005', '–', '\\u2005', '\\u2005', '\\u2005', '−', 'κ', 'λ', '—', 'β', '—']\n",
"File: 15939911.txt, Non-ASCII characters: ['–', '–', '–', '“', '”', '“', '”', '–', '“', '”']\n",
"File: 25926582.txt, Non-ASCII characters: ['\\u2005', '\\u2005', '—', '\\u2005', 'µ', '\\u2005']\n",
"File: 27980261.txt, Non-ASCII characters: ['×']\n",
"File: 27980272.txt, Non-ASCII characters: ['℃', 'μ', 'μ', 'μ', 'μ', '℃']\n",
"File: 25759562.txt, Non-ASCII characters: ['×', '\\u200b', '\\u200b', '×', '×', '\\u200b']\n",
"File: 27821134.txt, Non-ASCII characters: ['“', '”', '’', '“', '”', '“', '”', '’', '≥']\n",
"File: 28173879.txt, Non-ASCII characters: ['°', 'μ', '®', '–', '’', '®', '’', '’']\n",
"File: 23076693.txt, Non-ASCII characters: ['°', '\\u2005', '\\u2005', '\\u2005', '\\u2005', '\\u2005', '\\u2005', '\\u2005', '\\u2005']\n",
"File: 21527041.txt, Non-ASCII characters: ['\\u200b', '\\u200b']\n",
"File: 21505579.txt, Non-ASCII characters: ['–', '–', 'Ⅱ', '–', '–', '–', '–', '–']\n",
"File: 24781756.txt, Non-ASCII characters: ['\\u2009', '\\u2009', '\\u2009', '–', '\\u2009', '\\u2009', 'μ', '–', '\\u2009', 'μ', '\\u2009', 'μ', '\\u2009', 'μ', '\\u2009']\n",
"File: 28250406.txt, Non-ASCII characters: ['–', '–']\n",
"File: 25934795.txt, Non-ASCII characters: ['–', '–', '–', '–', '–', '\\u200b', '\\u200b']\n",
"File: 27661040.txt, Non-ASCII characters: ['\\u200a', 'μ', '\\u200a', 'μ', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', 'μ', '\\u200a', 'μ', '\\u200a', 'μ', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', 'μ', '\\u200a', 'μ']\n",
"File: 25210224.txt, Non-ASCII characters: ['×', '×', '\\u200b']\n",
"File: 28202865.txt, Non-ASCII characters: ['°']\n",
"File: 28403099.txt, Non-ASCII characters: ['\\u200a', '\\u200a', '\\u200a', '°', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '–', '\\u200a', '\\u200a', '×', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200b', '–', '–', '–', '–', '\\u200a', '\\u200a', '\\u200a']\n",
"File: 28202862.txt, Non-ASCII characters: ['™', 'μ', '™']\n",
"File: 28320420.txt, Non-ASCII characters: ['×', '×']\n",
"File: 28595573.txt, Non-ASCII characters: ['\\u200b', '–', '–', '\\u2009', '\\u2009', '\\u2009', '\\u2009', '\\u2009', '\\u2009']\n",
"File: 26474553.txt, Non-ASCII characters: ['\\u2009', '\\u2009', '−', '®', '\\u2009', '\\u2009', '−', '\\u2009', '\\u2009']\n",
"File: 27130218.txt, Non-ASCII characters: ['μ', '\\u200b']\n",
"File: 28154669.txt, Non-ASCII characters: ['’']\n",
"File: 22218279.txt, Non-ASCII characters: ['–', 'β', 'μ']\n",
"File: 28154281.txt, Non-ASCII characters: ['×', '×', '×', '×', 'μ', 'μ']\n",
"File: 28353556.txt, Non-ASCII characters: ['\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '–', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '–', '\\u200a']\n",
"File: 26664317.txt, Non-ASCII characters: ['–']\n",
"File: 26445413.txt, Non-ASCII characters: ['\\u2009', '×', '\\u2009', '\\u2009', '×', '\\u2009', '\\u2009', '×', '\\u2009', '\\u2009', '×', '\\u2009', '\\u2009', '×', '\\u2009', '\\u2009', '×', '\\u2009', '\\u2009', '×', '\\u2009']\n",
"File: 26257516.txt, Non-ASCII characters: ['λ', '–', 'κ']\n",
"File: 28272214.txt, Non-ASCII characters: ['\\u200a', '×', '\\u200a', '\\u200a', '\\u200a', '–', '\\u200a', '–', '–', '–', '\\u200a', '\\u200a', '\\u200a', '–', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a']\n",
"File: 28154287.txt, Non-ASCII characters: ['°', 'μ']\n",
"File: 19307547.txt, Non-ASCII characters: ['’', '’', '–', '–', '®']\n",
"File: 27990013.txt, Non-ASCII characters: ['’', '×']\n",
"File: 27906105.txt, Non-ASCII characters: ['\\u2009', '×', '\\u2009', '\\u2009', '×', '\\u2009']\n",
"File: 27842595.txt, Non-ASCII characters: ['\\u200b', '\\u200b']\n",
"File: 24654246.txt, Non-ASCII characters: ['\\u2005', '‘', '’', '–', '\\u2005', '\\u2005']\n",
"File: 21720478.txt, Non-ASCII characters: ['–', '–', '–', '®', '–', '®', '“', '”']\n",
"File: 28383413.txt, Non-ASCII characters: ['–', '\\u200a', '\\u200a', '\\u200a', '∗', '°', '∗', '°', '\\u200a', '\\u200a', '\\u200a', '\\u200a', 'μ', '–', '\\u200a', 'μ', '\\u200a', '–', '\\u200a', '\\u200a', '–', '\\u200a', '\\u200a', '–', '\\u200a']\n",
"File: 19009665.txt, Non-ASCII characters: ['α', '\\u200b', '\\u200b']\n",
"File: 28767567.txt, Non-ASCII characters: ['–', '\\u200a', '×', '\\u200a', '\\u200a', '×', '\\u200a', '\\u200a', '\\u200a', '×', '\\u200a', '\\u200a', '\\u200a', '×', '\\u200a', '\\u200a', '×', '\\u200a', '\\u200a', '–']\n",
"File: 19610147.txt, Non-ASCII characters: ['\\u200b', '\\u200b', '\\u200b', '\\u200b', '\\u200b', '\\u200b']\n",
"File: 22781096.txt, Non-ASCII characters: ['−', '\\u2009', 'μ', '–', '\\u2009', 'μ', '–', '\\u2009', '\\u2009', '–', '\\u2009', '\\u2009', '\\u2009', '\\u2009', '\\u2009', '\\u2009', '\\u2009', 'μ', '\\u2009', 'μ']\n",
"File: 27100441.txt, Non-ASCII characters: ['°', '\\u200a', '–', '–', '\\u200b', '–', '–', '\\u200b', '\\u200b', '\\u200b', '\\u200b', '\\u200a', 'μ', '–', '\\u200a', 'μ', '\\u200a', '–', '\\u200a', '\\u200a', '–', '\\u200a', '\\u200a', '–', '\\u200a', '\\u200a', 'μ', '–', '\\u200a', 'μ', '\\u200a', 'μ', '–', '\\u200a', 'μ', '\\u200a', '\\u200a', '\\u200b', '\\u200b', '–', '\\u200a', '\\u200a', '\\u200a', 'α', '\\u200a', '\\u200b', '–', '\\u200a', '\\u200a', '\\u200a', '\\u200a']\n",
"File: 26692730.txt, Non-ASCII characters: ['−', '×', '°', '×', '°', 'μ', '\\u200b']\n",
"File: 27793101.txt, Non-ASCII characters: ['\\u2009', '×', '\\u2009', '\\u2009', '×', '\\u2009', '\\u2009', '×', '\\u2009', '\\u2009', '×', '\\u2009', '\\u2009', '×', '\\u2009']\n",
"File: 27004009.txt, Non-ASCII characters: ['\\u200b', '\\u200b', '\\u200b', '×', '\\u200b', '×', '\\u200b', '\\u200b']\n",
"File: 28151882.txt, Non-ASCII characters: ['°', 'ü', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '°', '°', '°']\n",
"File: 28353569.txt, Non-ASCII characters: ['\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200b', '\\u200a', '×', '\\u200a', '\\u200b']\n",
"File: 27057898.txt, Non-ASCII characters: ['\\u200b', '\\u200b', '\\u200b', '\\u200b', '\\u200b']\n",
"File: 28353596.txt, Non-ASCII characters: ['−', '−', '−', '\\u200b', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a', '\\u200a']\n",
"File: 27928148.txt, Non-ASCII characters: ['°', '–', '–', '–', '–', '–']\n",
"File: 22520024.txt, Non-ASCII characters: ['\\u2009', '\\u2009', '\\u2009', '\\u200b', '\\u2009', '\\u2009', '\\u2009']\n",
"File: 27846860.txt, Non-ASCII characters: ['°', '–', '’', '’', '’']\n",
"File: 26395443.txt, Non-ASCII characters: ['°', '\\u2009', '×', '\\u2009', '\\u2009', '×', '\\u2009', '’', '®', '®', '®']\n",
"File: 27749582.txt, Non-ASCII characters: ['\\u200b', '\\u200a', 'μ', '\\u200a', '\\u200a', '–']\n",
"File: 24161539.txt, Non-ASCII characters: ['–', '–']\n",
"File: 28250304.txt, Non-ASCII characters: ['μ', '\\u200b', '×']\n",
"File: 25410034.txt, Non-ASCII characters: ['\\u2005', '‘', '’', '‘', '’', '‘', '’', '\\u2005', '\\u2005', '\\u2005', '\\u2005']\n",
"File: 26714786.txt, Non-ASCII characters: ['\\u2009', '\\u2009', '–', '’', '’']\n"
]
}
],
"source": [
"non_ascii_characters = []\n",
"# Loop through each file in the folder\n",
"for doc_id in doc_ids:\n",
" # Check if the file is a .txt file\n",
" filename = f\"{doc_id}.txt\"\n",
" # Open the file\n",
" with open(os.path.join(data_dir, filename), 'r', encoding='utf-8') as file:\n",
" # Read the file content\n",
" file_content = file.read()\n",
" # Find all non-ASCII characters using regular expressions\n",
" non_ascii_chars = re.findall(r'[^\\x00-\\x7F]', file_content)\n",
" # Print the filename and the special characters found\n",
" if non_ascii_chars: \n",
" print(f'File: {filename}, Non-ASCII characters: {non_ascii_chars}') \n",
" non_ascii_characters.extend(non_ascii_chars)"
]
},
{
"cell_type": "code",
"execution_count": 15,
"id": "01e3a0ba",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'≥, λ, ü, α, κ, \\u2005, Ⅱ, γ, ö, \\u200a, ®, ℃, ”, ≤, ∼, δ, ™, π, ×, \\u200b, −, μ, ・, —, é, “, ‘, ½, µ, °, ɤ, €, ∗, –, ′, ’, β, \\u2009'"
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"', '.join(set(non_ascii_characters))"
]
},
{
"cell_type": "markdown",
"id": "2463d35f",
"metadata": {},
"source": [
"#### Transliterate non-ASCII characters to their closest ASCII equivalents."
]
},
{
"cell_type": "code",
"execution_count": 19,
"id": "5374e94d",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"∗ *\n",
"€ EUR\n",
"™ (tm)\n",
"κ k\n",
"— --\n",
"Ⅱ II\n",
"“ \"\n",
" \n",
"’ '\n",
"α a\n",
"π p\n",
"γ g\n",
"ü u\n",
"° deg\n",
"・ \n",
"δ d\n",
"≤ <=\n",
" \n",
"β b\n",
"– -\n",
" \n",
"é e\n",
" \n",
"∼ ~\n",
"× x\n",
"ɤ u\n",
"≥ >=\n",
"℃ \n",
"ö o\n",
"µ u\n",
"” \"\n",
"½ 1/2\n",
"‘ '\n",
"′ '\n",
"® (r)\n",
"− -\n",
"μ m\n",
"λ l\n"
]
}
],
"source": [
"from unidecode import unidecode\n",
"\n",
"for char in set(non_ascii_characters):\n",
" print(f\"{char} {unidecode(char)}\")"
]
},
{
"cell_type": "markdown",
"id": "b861a098",
"metadata": {},
"source": [
"## Step 3 - Load the ann files"
]
},
{
"cell_type": "markdown",
"id": "933b9676",
"metadata": {},
"source": [
"### 3 - a Checking structure of .ann files"
]
},
{
"cell_type": "code",
"execution_count": 20,
"id": "834f1ac1",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"T1\tAge 2 13\t64 year old\n",
"T2\tSex 14 20\tfemale\n",
"T3\tDisease_disorder 31 34\tHHT\n",
"E1\tDisease_disorder:T3\n",
"#1\tAnnotatorNotes E1\tHereditary hemorrhagic telangiectasia\n",
"T4\tClinical_event 38 46\treferred\n"
]
}
],
"source": [
"sample_ann_file = doc_id + \".ann\"\n",
"lines = []\n",
"with open(os.path.join(data_dir, sample_ann_file)) as f:\n",
" for line in f.readlines():\n",
" lines.append(line)\n",
"print(\"\")\n",
"for line in lines[:6]:\n",
" print(line.strip())"
]
},
{
"cell_type": "markdown",
"id": "d6c12028",
"metadata": {},
"source": [
"All the 200 .ann files are in brat standoff format"
]
},
{
"cell_type": "markdown",
"id": "86bc7231",
"metadata": {},
"source": [
"**General annotation structure**\n",
"\n",
"All annotations follow the same basic structure: Each line contains one annotation, and each annotation is given an ID that appears first on the line, separated from the rest of the annotation by a single TAB character. The rest of the structure varies by annotation type."
]
},
{
"cell_type": "markdown",
"id": "83102689",
"metadata": {},
"source": [
"By looking at the first few lines of one of the .ann files, we can see the format followed is as follows\n",
"\n",
"Annotation_ID [TAB] Entity Start End [TAB] Token\n",
"\n",
"This format is a variation of the BRAT standoff format, where each line represents a single annotation. \n",
"Here's what each of the fields represent:\n",
"\n",
"* Annotation_ID: A unique identifier for the annotation, typically a string or number.\n",
"* Entity: The type of entity being annotated, such as \"person\", \"location\", \"organization\", etc.\n",
"* Start: The starting position of the annotated entity within the original text, typically measured in character offsets.\n",
"* End: The ending position of the annotated entity within the original text, also measured in character offsets.\n",
"* Token: The actual text of the annotated entity, represented as a single token or a sequence of tokens.\n"
]
},
{
"cell_type": "markdown",
"id": "31bca0e2",
"metadata": {},
"source": [
"**Annotation ID conventions**\n",
"\n",
"All annotations IDs consist of a single upper-case character identifying the annotation type and a number. \n",
"\n",
"The initial ID characters relate to annotation types as follows:\n",
"\n",
"* T: text-bound annotation\n",
"* R: relation\n",
"* E: event\n",
"* A: attribute\n",
"* M: modification (alias for attribute, for backward compatibility)\n",
"* N: normalization [new in v1.3]\n",
"* #: note"
]
},
{
"cell_type": "markdown",
"id": "fa3a6035",
"metadata": {},
"source": [
"**Question 1:** <span style=\"color:blue\">Do all these annotation IDs needed for NER task?</span>"
]
},
{
"cell_type": "markdown",
"id": "66814466",
"metadata": {},
"source": [
"**Entity annotations**\n",
"\n",
"Each entity annotation has a unique ID and is defined by type (e.g. Person or Organization) and the span of characters containing the entity mention (represented as a \"start end\" offset pair)."
]
},
{
"cell_type": "markdown",
"id": "bcd00d63",
"metadata": {},
"source": [
"**Question 2:** <span style=\"color:blue\">Does the entity annotation followed by single \"start end\" offset pair or more than one \"start end\" offset pairs?</span>"
]
},
{
"cell_type": "markdown",
"id": "c377793d",
"metadata": {},
"source": [
"**Token strucuture**"
]
},
{
"cell_type": "markdown",
"id": "af25ca57",
"metadata": {},
"source": [
"The actual text of the annotated entity, represented as a single token or a sequence of tokens."
]
},
{
"cell_type": "markdown",
"id": "35863d4d",
"metadata": {},
"source": [
"**Question 3:** <span style=\"color:blue\">Number of annotated token with more than one words and what are all the possible separators ?</span>"
]
},
{
"cell_type": "markdown",
"id": "7da84ae1",
"metadata": {},
"source": [
"### 3 - b Checking all the annotation IDs in all .ann files"
]
},
{
"cell_type": "code",
"execution_count": 21,
"id": "6c8125d9",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'#', '*', 'A', 'E', 'R', 'T'}"
]
},
"execution_count": 21,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"tags = []\n",
"\n",
"for doc_id in doc_ids:\n",
" ann_file = doc_id + \".ann\"\n",
" with open(os.path.join(data_dir, ann_file)) as f:\n",
" for line in f.readlines():\n",
" tags.append(line.split(\"\\t\")[0][0])\n",
" \n",
"set(tags)"
]
},
{
"cell_type": "markdown",
"id": "d2ef78bc",
"metadata": {},
"source": [
"**Question 1:** <span style=\"color:blue\">Do all these annotation IDs needed for NER task?</span>"
]
},
{
"cell_type": "markdown",
"id": "1dd32d46",
"metadata": {},
"source": [
"**Annotation IDs needed for NER task**"
]
},
{
"cell_type": "markdown",
"id": "1e683f81",
"metadata": {},
"source": [
"To generate the BIO format for named entity recognition, only the T tags are needed. The T tags represent annotations for named entities in the text. Specifically, we need to identify the start and end positions of each named entity and assign it a label indicating the type of entity it is."
]
},
{
"cell_type": "markdown",
"id": "cffe8a99",
"metadata": {},
"source": [
"For named entity recognition, only the T tags are needed to generate the BIO format. \n",
"\n",
"The other tags such as #, *, A, E, and R are used for representing different types of information in the .ann files and are not directly related to named entity recognition.\n",
"\n",
"* \\# is used to denote comments in the annotation file.\n",
"* \\* is used to represent coreference annotations.\n",
"* A is used to represent attribute annotations.\n",
"* E is used to represent event annotations.\n",
"* R is used to represent relation annotations.\n",
"\n",
"Therefore, we can ignore all other tags except for the T tags when generating the BIO format for named entity recognition."
]
},
{
"cell_type": "markdown",
"id": "11ca9267",
"metadata": {},
"source": [
"**Question 2:** <span style=\"color:blue\">Does the entity annotation followed by single \"start end\" offset pair or more than one \"start end\" offset pairs?</span>"
]
},
{
"cell_type": "code",
"execution_count": 22,
"id": "dc01ca71",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"There exists more than one start end offset pairs\n",
"701 714;730 735\n",
"There exists more than one start end offset pairs\n",
"4085 4093;4103 4108\n",
"There exists more than one start end offset pairs\n",
"3117 3124;3135 3141\n",
"There exists more than one start end offset pairs\n",
"2552 2559;2585 2654\n",
"There exists more than one start end offset pairs\n",
"704 715;721 726\n",
"There exists more than one start end offset pairs\n",
"828 835;861 879\n",
"There exists more than one start end offset pairs\n",
"849 857;861 879\n",
"There exists more than one start end offset pairs\n",
"341 350;357 358\n",
"There exists more than one start end offset pairs\n",
"315 317;319 330\n",
"There exists more than one start end offset pairs\n",
"297 313;319 330\n",
"There exists more than one start end offset pairs\n",
"606 621;641 647\n",
"There exists more than one start end offset pairs\n",
"1017 1032;1052 1058\n",
"There exists more than one start end offset pairs\n",
"1316 1318;1328 1336\n",
"There exists more than one start end offset pairs\n",
"1386 1391;1408 1412\n",
"There exists more than one start end offset pairs\n",
"606 621;641 647\n",
"There exists more than one start end offset pairs\n",
"2001 2005;2034 2037\n",
"There exists more than one start end offset pairs\n",
"2114 2133;2139 2143\n",
"There exists more than one start end offset pairs\n",
"2428 2438;2444 2463\n",
"There exists more than one start end offset pairs\n",
"2428 2438;2472 2499\n",
"There exists more than one start end offset pairs\n",
"535 538;546 550\n",
"There exists more than one start end offset pairs\n",
"2015 2024;2052 2061\n",
"There exists more than one start end offset pairs\n",
"1644 1653;1673 1684\n",
"There exists more than one start end offset pairs\n",
"474 481;490 503\n",
"There exists more than one start end offset pairs\n",
"2831 2851;2858 2859\n",
"There exists more than one start end offset pairs\n",
"2637 2653;2667 2674\n",
"There exists more than one start end offset pairs\n",
"2296 2320;2327 2335\n",
"There exists more than one start end offset pairs\n",
"2362 2371;2375 2377\n",
"There exists more than one start end offset pairs\n",
"2362 2371;2383 2386\n",
"There exists more than one start end offset pairs\n",
"1366 1373;1386 1404\n",
"There exists more than one start end offset pairs\n",
"1596 1600;1628 1631\n",
"There exists more than one start end offset pairs\n",
"1657 1661;1690 1693\n",
"There exists more than one start end offset pairs\n",
"2306 2308;2316 2323\n",
"There exists more than one start end offset pairs\n",
"1557 1559;1560 1567\n",
"There exists more than one start end offset pairs\n",
"2186 2188;2189 2196\n",
"There exists more than one start end offset pairs\n",
"2427 2429;2430 2437\n",
"There exists more than one start end offset pairs\n",
"1746 1813;1814 1845;1846 1878;1879 1921;1922 1950;1951 1976\n",
"There exists more than one start end offset pairs\n",
"4047 4155;4156 4238\n",
"There exists more than one start end offset pairs\n",
"1101 1111;1121 1126\n",
"There exists more than one start end offset pairs\n",
"1101 1111;1131 1137\n",
"There exists more than one start end offset pairs\n",
"1439 1446;1457 1476\n",
"There exists more than one start end offset pairs\n",
"2352 2357;2367 2371\n",
"There exists more than one start end offset pairs\n",
"2873 2880;2902 2912\n",
"There exists more than one start end offset pairs\n",
"2873 2880;2917 2926\n",
"There exists more than one start end offset pairs\n",
"1645 1650;1660 1673\n",
"There exists more than one start end offset pairs\n",
"1246 1252;1261 1274\n",
"There exists more than one start end offset pairs\n",
"1251 1257;1274 1276\n",
"There exists more than one start end offset pairs\n",
"464 465;477 484\n",
"There exists more than one start end offset pairs\n",
"467 468;477 484\n",
"There exists more than one start end offset pairs\n",
"1610 1633;1652 1658\n",
"There exists more than one start end offset pairs\n",
"2533 2540;2559 2570\n",
"There exists more than one start end offset pairs\n",
"2542 2547;2559 2570\n",
"There exists more than one start end offset pairs\n",
"1739 1743;1761 1766\n",
"There exists more than one start end offset pairs\n",
"1994 2004;2021 2029\n",
"There exists more than one start end offset pairs\n",
"900 905;915 918\n",
"There exists more than one start end offset pairs\n",
"926 929;938 939\n"
]
}
],
"source": [
"flag = False\n",
"for doc_id in doc_ids:\n",
" ann_file = doc_id + \".ann\"\n",
" with open(os.path.join(data_dir, ann_file)) as f:\n",
" for line in f.readlines():\n",
" if line.startswith('T'):\n",
" label = line.split('\\t')[1].split()[0]\n",
" start_end_pair = line.split('\\t')[1].split()[1:]\n",
" if len(start_end_pair) > 2:\n",
" print('There exists more than one start end offset pairs')\n",
" print(' '.join(start_end_pair))\n"
]
},
{
"cell_type": "code",
"execution_count": 23,
"id": "516683aa",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 1200x600 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"entity_type_counts = {}\n",
"for doc_id in doc_ids:\n",
" ann_file = doc_id + \".ann\"\n",
" with open(os.path.join(data_dir, ann_file)) as f:\n",
" for line in f:\n",
" if line.startswith(\"T\"):\n",
" entity_type = line.split()[1]\n",
" entity_type_counts[entity_type] = entity_type_counts.get(entity_type, 0) + 1\n",
"\n",
"entity_types = list(entity_type_counts.keys())\n",
"counts = list(entity_type_counts.values())\n",
"\n",
"# sort by count in descending order\n",
"entity_types_sorted = [x for _, x in sorted(zip(counts, entity_types), reverse=True)]\n",
"counts_sorted = sorted(counts, reverse=True)\n",
"\n",
"# only keep top 20 entities for visualization\n",
"entity_types_top = entity_types_sorted[:20]\n",
"counts_top = counts_sorted[:20]\n",
"\n",
"fig, ax = plt.subplots(figsize=(12, 6))\n",
"ax.bar(entity_types_top, counts_top)\n",
"ax.set_xticks(range(len(entity_types_top)))\n",
"ax.set_xticklabels(entity_types_top, rotation=45, ha=\"right\")\n",
"ax.set_ylabel(\"Count\")\n",
"ax.set_title(\"Distribution of Entity Types\")\n",
"plt.show()\n"
]
},
{
"cell_type": "markdown",
"id": "99c50527",
"metadata": {},
"source": [
"**Question 3:** <span style=\"color:blue\">Number of annotated token with more than one words and what are all the possible separators ?</span>"
]
},
{
"cell_type": "markdown",
"id": "f5cbd5b5",
"metadata": {},
"source": [
"After taking look at all the tokens, \n",
"\n",
"possible separators are \n",
"\n",
"* space\n",
"* \\u200a: a Unicode character that represents the hair space.\n",
"* different forms of hyphens and dashes:\n",
" * -: This is the regular hyphen or minus sign character.\n",
" * \\u2010: This is the hyphen character.\n",
" * \\u2011: This is the non-breaking hyphen character.\n",
" * \\u2012: This is the figure dash character.\n",
" * \\u2013: This is the en dash character.\n",
" * \\u2014: This is the em dash character.\n",
" * \\u2015: This is the horizontal bar character.\n",
" * \\u2212: This is the minus sign character.\n",
" * \\uff0d: This is the fullwidth hyphen-minus character."
]
},
{
"cell_type": "markdown",
"id": "cbeefe41",
"metadata": {},
"source": [
"### 3 - c Split when annotated token is a sequence of tokens."
]
},
{
"cell_type": "code",
"execution_count": 24,
"id": "d8111c9a",
"metadata": {},
"outputs": [],
"source": [
"def splitting_tokens(file_id, start, end, hyphen_split=True):\n",
" \"\"\"\n",
" Splits a token into its constituent words and returns a list of tokens along with the corresponding\n",
" ranges for each word in the original text.\n",
"\n",
" Args:\n",
" text (str): The original text containing the token to be split.\n",
" start (int): The starting index of the token in the text.\n",
" end (int): The ending index of the token in the text.\n",
"\n",
" Returns:\n",
" A tuple containing:\n",
" - a list of the constituent words of the token\n",
" - a list of lists containing the start and end indices of each word in the original token\n",
" \"\"\"\n",
" text = data[file_id]['text']\n",
" token = text[start:end]\n",
"\n",
" extra_sep = ['\\u200a']\n",
" if hyphen_split:\n",
" extra_sep += ['-', '\\u2010', '\\u2011', '\\u2012', '\\u2013', '\\u2014', '\\u2015', '\\u2212', '\\uff0d']\n",
"\n",
" new_range = []\n",
" tokens = []\n",
"\n",
" curr = start\n",
" new_start = None\n",
"\n",
" for c in token + \" \":\n",
" if c.isspace() or c in extra_sep:\n",
" if new_start:\n",
" new_range.append([new_start, curr])\n",
" tokens.append(text[new_start:curr])\n",
" new_start = None\n",
" elif not new_start:\n",
" new_start = curr\n",
" curr += 1\n",
"\n",
" return tokens, new_range\n"
]
},
{
"cell_type": "markdown",
"id": "20af3b1e",
"metadata": {},
"source": [
"### 3 - d Load ann data"
]
},
{
"cell_type": "code",
"execution_count": 25,
"id": "87ad7036",
"metadata": {},
"outputs": [],
"source": [
"def load_ann_data(ann_dir, doc_ids, data, hyphen_split=True):\n",
" \"\"\"\n",
" Loads annotations from a directory of .ann files and adds them to the corresponding \n",
" files in a data dictionary.\n",
"\n",
" Args:\n",
" ann_dir (str): Path to the directory containing the .ann files.\n",
" data (dict): A dictionary of file IDs (strings) mapped to their corresponding data, \n",
" where each data item is represented by a nested dictionary containing the following key-value pairs:\n",
" - \"text\": the full text of the file as a string.\n",
" - \"annotations\": a list of annotations for the file, where each annotation is represented \n",
" by a dictionary containing the following key-value pairs:\n",
" - \"label\": the label of the annotation as a string.\n",
" - \"start\": the starting character index of the annotation as an integer.\n",
" - \"end\": the ending character index of the annotation as an integer.\n",
"\n",
" Returns:\n",
" data - modified the input dictionary\n",
" \"\"\"\n",
" for doc_id in doc_ids:\n",
"\n",
" file_name = doc_id + \".ann\"\n",
" \n",
" with open(os.path.join(ann_dir, file_name), \"r\") as f:\n",
"\n",
" annotations = []\n",
"\n",
" for line in f:\n",
" if line.startswith(\"T\"):\n",
" fields = line.strip().split(\"\\t\")\n",
" if len(fields[1].split(\" \")) > 1:\n",
" label = fields[1].split(\" \")[0]\n",
"\n",
" # Extracting start end indices (Few annotations contain more than one disjoint ranges)\n",
" start_end_range = [\n",
" list(map(int, start_end.split()))\n",
" for start_end in ' '.join(fields[1].split(\" \")[1:]).split(';')\n",
" ]\n",
"\n",
" start_end_range_fixed = []\n",
" for start, end in start_end_range:\n",
" tokens, start_end_split_list = splitting_tokens(doc_id, start, end,\n",
" hyphen_split)\n",
" start_end_range_fixed.extend(start_end_split_list)\n",
"\n",
" # Adding labels, start, end to annotations\n",
" for start, end in start_end_range_fixed:\n",
" annotations.append({\n",
" \"label\": label,\n",
" \"start\": start,\n",
" \"end\": end\n",
" })\n",
" # sort annotations based on 'start' key before adding it to our dataset\n",
" annotations = sorted(annotations, key=lambda x: (x['start'], x['label']))\n",
" data[doc_id][\"annotations\"] = annotations\n",
" \n",
" return data"
]
},
{
"cell_type": "markdown",
"id": "3f5f6e81",
"metadata": {},
"source": [
"**Loading Data into _data_ dictionary**"
]
},
{
"cell_type": "code",
"execution_count": 26,
"id": "d4147e2c",
"metadata": {},
"outputs": [],
"source": [
"data = load_ann_data(data_dir, doc_ids, data)"
]
},
{
"cell_type": "markdown",
"id": "1b716841",
"metadata": {},
"source": [
"**Looking at the _data_ dictionary**"
]
},
{
"cell_type": "code",
"execution_count": 27,
"id": "460b40ce",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"text:\n",
"Our 24-year-old non-smoking male patient .....\n",
"annotations:\n",
"[{'label': 'Age', 'start': 4, 'end': 6}, {'label': 'Age', 'start': 7, 'end': 11}] .....\n",
"text:\n",
"A 68-year-old female nonsmoker, nondrink .....\n",
"annotations:\n",
"[{'label': 'Age', 'start': 2, 'end': 4}, {'label': 'Age', 'start': 5, 'end': 9}] .....\n",
"text:\n",
"A 25-year-old female patient had noticed .....\n",
"annotations:\n",
"[{'label': 'Age', 'start': 2, 'end': 4}, {'label': 'Age', 'start': 5, 'end': 9}] .....\n"
]
}
],
"source": [
"for doc_id in list(data.keys())[:3]:\n",
" text = data[doc_id]['text']\n",
" annotations = data[doc_id]['annotations']\n",
" print(f\"text:\\n{text[:40]} .....\")\n",
" print(f\"annotations:\\n{annotations[:2]} .....\")"
]
},
{
"cell_type": "markdown",
"id": "6d64b7ee",
"metadata": {},
"source": [
"Successfully loaded data into dictionary which is in the below format\n",
"\n",
"```\n",
"data : {\n",
"\n",
" 'file_id': {\n",
" \n",
" 'text': text_data,\n",
" 'annotations': [\n",
" {'label': label, 'start': start, 'end': end},\n",
" {'label': label, 'start': start, 'end': end},\n",
" {'label': label, 'start': start, 'end': end},\n",
" {'label': label, 'start': start, 'end': end},\n",
" {'label': label, 'start': start, 'end': end},\n",
" ....\n",
" ],\n",
" 'file_id': {\n",
" \n",
" 'text': text_data,\n",
" 'annotations': [\n",
" {'label': label, 'start': start, 'end': end},\n",
" {'label': label, 'start': start, 'end': end},\n",
" {'label': label, 'start': start, 'end': end},\n",
" {'label': label, 'start': start, 'end': end},\n",
" {'label': label, 'start': start, 'end': end},\n",
" ....\n",
" ],\n",
" \n",
" },\n",
" \n",
" ......\n",
"\n",
"}\n",
"```"
]
},
{
"cell_type": "code",
"execution_count": 158,
"id": "79950359",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'Activity',\n",
" 'Administration',\n",
" 'Age',\n",
" 'Area',\n",
" 'Biological_attribute',\n",
" 'Biological_structure',\n",
" 'Clinical_event',\n",
" 'Color',\n",
" 'Coreference',\n",
" 'Date',\n",
" 'Detailed_description',\n",
" 'Diagnostic_procedure',\n",
" 'Disease_disorder',\n",
" 'Distance',\n",
" 'Dosage',\n",
" 'Duration',\n",
" 'Family_history',\n",
" 'Frequency',\n",
" 'Height',\n",
" 'History',\n",
" 'Lab_value',\n",
" 'Mass',\n",
" 'Medication',\n",
" 'Nonbiological_location',\n",
" 'Occupation',\n",
" 'Other_entity',\n",
" 'Other_event',\n",
" 'Outcome',\n",
" 'Personal_background',\n",
" 'Qualitative_concept',\n",
" 'Quantitative_concept',\n",
" 'Severity',\n",
" 'Sex',\n",
" 'Shape',\n",
" 'Sign_symptom',\n",
" 'Subject',\n",
" 'Texture',\n",
" 'Therapeutic_procedure',\n",
" 'Time',\n",
" 'Volume',\n",
" 'Weight'}"
]
},
"execution_count": 158,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"entities = set()\n",
"for doc_id, doc in data.items():\n",
" for ann in doc['annotations']:\n",
" entities.add(ann['label'])\n",
"entities"
]
},
{
"cell_type": "code",
"execution_count": 159,
"id": "136329d5",
"metadata": {},
"outputs": [],
"source": [
"\n",
"colors = {\"Activity\": \"#f9d5e5\", \n",
" \"Administration\": \"#f7a399\", \n",
" \"Age\": \"#f6c3d0\",\n",
" \"Area\": \"#fde2e4\",\n",
" \"Biological_attribute\": \"#d5f5e3\",\n",
" \"Biological_structure\": \"#9ddfd3\",\n",
" \"Clinical_event\": \"#77c5d5\",\n",
" \"Color\": \"#a0ced9\",\n",
" \"Coreference\": \"#e3b5a4\",\n",
" \"Date\": \"#f1f0d2\",\n",
" \"Detailed_description\": \"#ffb347\",\n",
" \"Diagnostic_procedure\": \"#c5b4e3\",\n",
" \"Disease_disorder\": \"#c4b7ea\",\n",
" \"Distance\": \"#bde0fe\",\n",
" \"Dosage\": \"#b9e8d8\",\n",
" \"Duration\": \"#ffdfba\",\n",
" \"Family_history\": \"#e6ccb2\",\n",
" \"Frequency\": \"#e9d8a6\",\n",
" \"Height\": \"#f2eecb\",\n",
" \"History\": \"#e2f0cb\",\n",
" \"Lab_value\": \"#f4b3c2\",\n",
" \"Mass\": \"#f4c4c3\",\n",
" \"Medication\": \"#f9d5e5\",\n",
" \"Nonbiological_location\": \"#f7a399\",\n",
" \"Occupation\": \"#f6c3d0\",\n",
" \"Other_entity\": \"#d5f5e3\",\n",
" \"Other_event\": \"#9ddfd3\",\n",
" \"Outcome\": \"#77c5d5\",\n",
" \"Personal_background\": \"#a0ced9\",\n",
" \"Qualitative_concept\": \"#e3b5a4\",\n",
" \"Quantitative_concept\": \"#f1f0d2\",\n",
" \"Severity\": \"#ffb347\",\n",
" \"Sex\": \"#c5b4e3\",\n",
" \"Shape\": \"#c4b7ea\",\n",
" \"Sign_symptom\": \"#bde0fe\",\n",
" \"Subject\": \"#b9e8d8\",\n",
" \"Texture\": \"#ffdfba\",\n",
" \"Therapeutic_procedure\": \"#e6ccb2\",\n",
" \"Time\": \"#e9d8a6\",\n",
" \"Volume\": \"#f2eecb\",\n",
" \"Weight\": \"#e2f0cb\"}"
]
},
{
"cell_type": "code",
"execution_count": 160,
"id": "100809d4",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<span class=\"tex2jax_ignore\"><div class=\"entities\" style=\"line-height: 2.5; direction: ltr\">Our \n",
"<mark class=\"entity\" style=\"background: #f6c3d0; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" 24\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Age</span>\n",
"</mark>\n",
"-\n",
"<mark class=\"entity\" style=\"background: #f6c3d0; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" year\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Age</span>\n",
"</mark>\n",
"-\n",
"<mark class=\"entity\" style=\"background: #f6c3d0; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" old\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Age</span>\n",
"</mark>\n",
" \n",
"<mark class=\"entity\" style=\"background: #e2f0cb; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" non\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">History</span>\n",
"</mark>\n",
"-\n",
"<mark class=\"entity\" style=\"background: #e2f0cb; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" smoking\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">History</span>\n",
"</mark>\n",
" \n",
"<mark class=\"entity\" style=\"background: #c5b4e3; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" male\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Sex</span>\n",
"</mark>\n",
" patient \n",
"<mark class=\"entity\" style=\"background: #77c5d5; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" presented\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Clinical_event</span>\n",
"</mark>\n",
" with \n",
"<mark class=\"entity\" style=\"background: #ffb347; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" repeated\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Detailed_description</span>\n",
"</mark>\n",
" \n",
"<mark class=\"entity\" style=\"background: #bde0fe; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" hemoptysis\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Sign_symptom</span>\n",
"</mark>\n",
" in \n",
"<mark class=\"entity\" style=\"background: #f1f0d2; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" May\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Date</span>\n",
"</mark>\n",
" \n",
"<mark class=\"entity\" style=\"background: #f1f0d2; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" 2008\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Date</span>\n",
"</mark>\n",
" with \n",
"<mark class=\"entity\" style=\"background: #ffdfba; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" 4\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Duration</span>\n",
"</mark>\n",
" \n",
"<mark class=\"entity\" style=\"background: #ffdfba; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" days\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Duration</span>\n",
"</mark>\n",
" of \n",
"<mark class=\"entity\" style=\"background: #ffb347; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" concomitant\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Detailed_description</span>\n",
"</mark>\n",
" \n",
"<mark class=\"entity\" style=\"background: #9ddfd3; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" right\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Biological_structure</span>\n",
"</mark>\n",
" \n",
"<mark class=\"entity\" style=\"background: #9ddfd3; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" thoracic\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Biological_structure</span>\n",
"</mark>\n",
" \n",
"<mark class=\"entity\" style=\"background: #bde0fe; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" pain\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Sign_symptom</span>\n",
"</mark>\n",
" \n",
"<mark class=\"entity\" style=\"background: #ffb347; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" which\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Detailed_description</span>\n",
"</mark>\n",
" \n",
"<mark class=\"entity\" style=\"background: #ffb347; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" intensified\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Detailed_description</span>\n",
"</mark>\n",
" \n",
"<mark class=\"entity\" style=\"background: #ffb347; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" while\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Detailed_description</span>\n",
"</mark>\n",
" \n",
"<mark class=\"entity\" style=\"background: #ffb347; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" breathing\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Detailed_description</span>\n",
"</mark>\n",
".</br>During \n",
"<mark class=\"entity\" style=\"background: #e2f0cb; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" holidays\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">History</span>\n",
"</mark>\n",
" \n",
"<mark class=\"entity\" style=\"background: #e2f0cb; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" in\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">History</span>\n",
"</mark>\n",
" \n",
"<mark class=\"entity\" style=\"background: #e2f0cb; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" his\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">History</span>\n",
"</mark>\n",
" \n",
"<mark class=\"entity\" style=\"background: #e2f0cb; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" home\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">History</span>\n",
"</mark>\n",
" \n",
"<mark class=\"entity\" style=\"background: #e2f0cb; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" country\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">History</span>\n",
"</mark>\n",
", this \n",
"<mark class=\"entity\" style=\"background: #a0ced9; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" Cuban\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Personal_background</span>\n",
"</mark>\n",
" patient suffered from a \n",
"<mark class=\"entity\" style=\"background: #bde0fe; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" cold\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Sign_symptom</span>\n",
"</mark>\n",
" with \n",
"<mark class=\"entity\" style=\"background: #bde0fe; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" fever\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Sign_symptom</span>\n",
"</mark>\n",
" and a \n",
"<mark class=\"entity\" style=\"background: #ffb347; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" strong\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Severity</span>\n",
"</mark>\n",
" \n",
"<mark class=\"entity\" style=\"background: #bde0fe; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" cough\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Sign_symptom</span>\n",
"</mark>\n",
".</br>The \n",
"<mark class=\"entity\" style=\"background: #ffb347; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" strong\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Severity</span>\n",
"</mark>\n",
" \n",
"<mark class=\"entity\" style=\"background: #ffdfba; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" dry\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Texture</span>\n",
"</mark>\n",
" \n",
"<mark class=\"entity\" style=\"background: #e3b5a4; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" cough\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Coreference</span>\n",
"</mark>\n",
" \n",
"<mark class=\"entity\" style=\"background: #ffb347; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" persisted\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Detailed_description</span>\n",
"</mark>\n",
" \n",
"<mark class=\"entity\" style=\"background: #f1f0d2; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" after\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Date</span>\n",
"</mark>\n",
" \n",
"<mark class=\"entity\" style=\"background: #f1f0d2; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" recovery\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Date</span>\n",
"</mark>\n",
" \n",
"<mark class=\"entity\" style=\"background: #f1f0d2; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" from\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Date</span>\n",
"</mark>\n",
" \n",
"<mark class=\"entity\" style=\"background: #f1f0d2; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" the\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Date</span>\n",
"</mark>\n",
" \n",
"<mark class=\"entity\" style=\"background: #f1f0d2; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" cold.\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Date</span>\n",
"</mark>\n",
"</br>The patient did not report any \n",
"<mark class=\"entity\" style=\"background: #bde0fe; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" loss\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Sign_symptom</span>\n",
"</mark>\n",
" \n",
"<mark class=\"entity\" style=\"background: #bde0fe; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" of\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Sign_symptom</span>\n",
"</mark>\n",
" \n",
"<mark class=\"entity\" style=\"background: #bde0fe; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" weight\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Sign_symptom</span>\n",
"</mark>\n",
".</br>The initial \n",
"<mark class=\"entity\" style=\"background: #c5b4e3; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" CT\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Diagnostic_procedure</span>\n",
"</mark>\n",
" \n",
"<mark class=\"entity\" style=\"background: #c5b4e3; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" scan\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Diagnostic_procedure</span>\n",
"</mark>\n",
" of the \n",
"<mark class=\"entity\" style=\"background: #9ddfd3; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" thorax\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Biological_structure</span>\n",
"</mark>\n",
" showed a \n",
"<mark class=\"entity\" style=\"background: #fde2e4; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" 12\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Area</span>\n",
"</mark>\n",
" \n",
"<mark class=\"entity\" style=\"background: #fde2e4; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" ×\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Area</span>\n",
"</mark>\n",
" \n",
"<mark class=\"entity\" style=\"background: #fde2e4; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" 4\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Area</span>\n",
"</mark>\n",
" \n",
"<mark class=\"entity\" style=\"background: #fde2e4; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" cm\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Area</span>\n",
"</mark>\n",
" \n",
"<mark class=\"entity\" style=\"background: #ffb347; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" solid\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Detailed_description</span>\n",
"</mark>\n",
" \n",
"<mark class=\"entity\" style=\"background: #bde0fe; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" mass\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Sign_symptom</span>\n",
"</mark>\n",
" \n",
"<mark class=\"entity\" style=\"background: #9ddfd3; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" paravertebral\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Biological_structure</span>\n",
"</mark>\n",
" \n",
"<mark class=\"entity\" style=\"background: #9ddfd3; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" right\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Biological_structure</span>\n",
"</mark>\n",
" in the \n",
"<mark class=\"entity\" style=\"background: #9ddfd3; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" lower\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Biological_structure</span>\n",
"</mark>\n",
" \n",
"<mark class=\"entity\" style=\"background: #9ddfd3; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" thorax\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Biological_structure</span>\n",
"</mark>\n",
" without any signs of \n",
"<mark class=\"entity\" style=\"background: #bde0fe; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" metastases\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Sign_symptom</span>\n",
"</mark>\n",
" (Figure 1).</br>The \n",
"<mark class=\"entity\" style=\"background: #c5b4e3; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" bronchoscopy\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Diagnostic_procedure</span>\n",
"</mark>\n",
" (Figure 2) with \n",
"<mark class=\"entity\" style=\"background: #ffb347; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" non\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Detailed_description</span>\n",
"</mark>\n",
"-\n",
"<mark class=\"entity\" style=\"background: #ffb347; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" bleeding\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Detailed_description</span>\n",
"</mark>\n",
" \n",
"<mark class=\"entity\" style=\"background: #c5b4e3; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" biopsy\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Diagnostic_procedure</span>\n",
"</mark>\n",
" revealed a \n",
"<mark class=\"entity\" style=\"background: #e3b5a4; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" mass\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Coreference</span>\n",
"</mark>\n",
" of the \n",
"<mark class=\"entity\" style=\"background: #9ddfd3; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" lower\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Biological_structure</span>\n",
"</mark>\n",
" \n",
"<mark class=\"entity\" style=\"background: #9ddfd3; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" right\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Biological_structure</span>\n",
"</mark>\n",
" \n",
"<mark class=\"entity\" style=\"background: #9ddfd3; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" bronchus\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Biological_structure</span>\n",
"</mark>\n",
" which \n",
"<mark class=\"entity\" style=\"background: #c5b4e3; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" histologically\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Diagnostic_procedure</span>\n",
"</mark>\n",
" and \n",
"<mark class=\"entity\" style=\"background: #c5b4e3; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" immunohistologically\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Diagnostic_procedure</span>\n",
"</mark>\n",
" provided evidence of a \n",
"<mark class=\"entity\" style=\"background: #c4b7ea; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" granular\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Disease_disorder</span>\n",
"</mark>\n",
" \n",
"<mark class=\"entity\" style=\"background: #c4b7ea; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" cell\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Disease_disorder</span>\n",
"</mark>\n",
" or \n",
"<mark class=\"entity\" style=\"background: #c4b7ea; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" Abrikossoff\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Disease_disorder</span>\n",
"</mark>\n",
" \n",
"<mark class=\"entity\" style=\"background: #c4b7ea; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" tumor\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Disease_disorder</span>\n",
"</mark>\n",
" [1].</br>The \n",
"<mark class=\"entity\" style=\"background: #c5b4e3; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" bronchial\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Diagnostic_procedure</span>\n",
"</mark>\n",
" \n",
"<mark class=\"entity\" style=\"background: #c5b4e3; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" lavage\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Diagnostic_procedure</span>\n",
"</mark>\n",
" which followed was \n",
"<mark class=\"entity\" style=\"background: #f4b3c2; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" negative\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Lab_value</span>\n",
"</mark>\n",
" for \n",
"<mark class=\"entity\" style=\"background: #9ddfd3; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" malignant\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Biological_structure</span>\n",
"</mark>\n",
" \n",
"<mark class=\"entity\" style=\"background: #9ddfd3; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" cells\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Biological_structure</span>\n",
"</mark>\n",
".</br>The patient was \n",
"<mark class=\"entity\" style=\"background: #77c5d5; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" discharged\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Clinical_event</span>\n",
"</mark>\n",
" and surgical intervention was planned.</br>\n",
"<mark class=\"entity\" style=\"background: #f1f0d2; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" Four\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Date</span>\n",
"</mark>\n",
" \n",
"<mark class=\"entity\" style=\"background: #f1f0d2; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" days\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Date</span>\n",
"</mark>\n",
" \n",
"<mark class=\"entity\" style=\"background: #f1f0d2; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" after\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Date</span>\n",
"</mark>\n",
" \n",
"<mark class=\"entity\" style=\"background: #f1f0d2; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" discharge\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Date</span>\n",
"</mark>\n",
" a \n",
"<mark class=\"entity\" style=\"background: #ffb347; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" spontaneous\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Detailed_description</span>\n",
"</mark>\n",
" \n",
"<mark class=\"entity\" style=\"background: #bde0fe; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" hemothorax\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Sign_symptom</span>\n",
"</mark>\n",
" developed.</br>The patient needed to be \n",
"<mark class=\"entity\" style=\"background: #77c5d5; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" readmitted\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Clinical_event</span>\n",
"</mark>\n",
" and the \n",
"<mark class=\"entity\" style=\"background: #e3b5a4; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" hemothorax\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Coreference</span>\n",
"</mark>\n",
" was \n",
"<mark class=\"entity\" style=\"background: #e6ccb2; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" drained\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Therapeutic_procedure</span>\n",
"</mark>\n",
".</br>No \n",
"<mark class=\"entity\" style=\"background: #bde0fe; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" malignant\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Sign_symptom</span>\n",
"</mark>\n",
" \n",
"<mark class=\"entity\" style=\"background: #bde0fe; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" cells\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Sign_symptom</span>\n",
"</mark>\n",
" were detected in the \n",
"<mark class=\"entity\" style=\"background: #c5b4e3; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" cytological\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Diagnostic_procedure</span>\n",
"</mark>\n",
" \n",
"<mark class=\"entity\" style=\"background: #c5b4e3; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" examination\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Diagnostic_procedure</span>\n",
"</mark>\n",
" of the \n",
"<mark class=\"entity\" style=\"background: #9ddfd3; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" drained\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Biological_structure</span>\n",
"</mark>\n",
" \n",
"<mark class=\"entity\" style=\"background: #9ddfd3; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" liquid\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Biological_structure</span>\n",
"</mark>\n",
".</br>After an uneventful course and \n",
"<mark class=\"entity\" style=\"background: #f4b3c2; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" decreasing\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Lab_value</span>\n",
"</mark>\n",
" of the \n",
"<mark class=\"entity\" style=\"background: #bde0fe; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" hematoma\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Sign_symptom</span>\n",
"</mark>\n",
", the \n",
"<mark class=\"entity\" style=\"background: #bde0fe; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" tumor\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Sign_symptom</span>\n",
"</mark>\n",
" was \n",
"<mark class=\"entity\" style=\"background: #e6ccb2; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" excised\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Therapeutic_procedure</span>\n",
"</mark>\n",
" by performing a \n",
"<mark class=\"entity\" style=\"background: #e6ccb2; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" lower\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Therapeutic_procedure</span>\n",
"</mark>\n",
" \n",
"<mark class=\"entity\" style=\"background: #e6ccb2; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" right\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Therapeutic_procedure</span>\n",
"</mark>\n",
" \n",
"<mark class=\"entity\" style=\"background: #e6ccb2; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" lobectomy\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Therapeutic_procedure</span>\n",
"</mark>\n",
" \n",
"<mark class=\"entity\" style=\"background: #f1f0d2; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" 6\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Date</span>\n",
"</mark>\n",
" \n",
"<mark class=\"entity\" style=\"background: #f1f0d2; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" months\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Date</span>\n",
"</mark>\n",
" \n",
"<mark class=\"entity\" style=\"background: #f1f0d2; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" after\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Date</span>\n",
"</mark>\n",
" \n",
"<mark class=\"entity\" style=\"background: #f1f0d2; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" the\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Date</span>\n",
"</mark>\n",
" \n",
"<mark class=\"entity\" style=\"background: #f1f0d2; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" initial\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Date</span>\n",
"</mark>\n",
" \n",
"<mark class=\"entity\" style=\"background: #f1f0d2; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" admission.\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Date</span>\n",
"</mark>\n",
"</br>The final \n",
"<mark class=\"entity\" style=\"background: #c5b4e3; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" histological\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Diagnostic_procedure</span>\n",
"</mark>\n",
" \n",
"<mark class=\"entity\" style=\"background: #c5b4e3; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" examination\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Diagnostic_procedure</span>\n",
"</mark>\n",
" confirmed a \n",
"<mark class=\"entity\" style=\"background: #9ddfd3; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" peribronchial\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Biological_structure</span>\n",
"</mark>\n",
" and \n",
"<mark class=\"entity\" style=\"background: #ffb347; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" infiltrating\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Detailed_description</span>\n",
"</mark>\n",
" \n",
"<mark class=\"entity\" style=\"background: #c5b4e3; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" S100\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Diagnostic_procedure</span>\n",
"</mark>\n",
" \n",
"<mark class=\"entity\" style=\"background: #f4b3c2; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" positive\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Lab_value</span>\n",
"</mark>\n",
" \n",
"<mark class=\"entity\" style=\"background: #e3b5a4; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" tumor\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Coreference</span>\n",
"</mark>\n",
" supporting the Schwann cell origin theory with \n",
"<mark class=\"entity\" style=\"background: #f4b3c2; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" very\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Lab_value</span>\n",
"</mark>\n",
" \n",
"<mark class=\"entity\" style=\"background: #f4b3c2; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" low\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Lab_value</span>\n",
"</mark>\n",
" \n",
"<mark class=\"entity\" style=\"background: #c5b4e3; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" growth\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Diagnostic_procedure</span>\n",
"</mark>\n",
" \n",
"<mark class=\"entity\" style=\"background: #c5b4e3; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" rate\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Diagnostic_procedure</span>\n",
"</mark>\n",
" of \n",
"<mark class=\"entity\" style=\"background: #f4b3c2; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" 2%\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Lab_value</span>\n",
"</mark>\n",
" and a \n",
"<mark class=\"entity\" style=\"background: #c5b4e3; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" size\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Diagnostic_procedure</span>\n",
"</mark>\n",
" of \n",
"<mark class=\"entity\" style=\"background: #bde0fe; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" 15\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Distance</span>\n",
"</mark>\n",
" \n",
"<mark class=\"entity\" style=\"background: #bde0fe; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
" mm\n",
" <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">Distance</span>\n",
"</mark>\n",
" (Figure 3).</br></div></span>"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Load the small English model\n",
"nlp = spacy.load(\"en_core_web_sm\", disable=['ner'])\n",
"\n",
"for doc_id, doc in data.items():\n",
" text = doc['text']\n",
" annotations = doc['annotations']\n",
"\n",
"\n",
" # Create a Doc object from the text\n",
" doc = nlp(text)\n",
" prev_end = -1\n",
" # Add your custom annotations to the Doc object\n",
" for ann in annotations:\n",
" label = ann[\"label\"]\n",
" start = ann[\"start\"]\n",
" end = ann[\"end\"]\n",
" if start > prev_end:\n",
" span = doc.char_span(start, end, label=label)\n",
" if span is not None:\n",
" doc.ents += tuple([span])\n",
" prev_end = end\n",
" \n",
" \n",
" options = {\"compact\": True, \"bg\": \"#F8F8F8\",\n",
" \"ents\": list(colors.keys()), \n",
" \"colors\": colors}\n",
"\n",
" # Generate the HTML visualization\n",
" html = displacy.render(doc, style=\"ent\", options=options)\n",
" break\n"
]
},
{
"cell_type": "code",
"execution_count": 71,
"id": "283d820f",
"metadata": {},
"outputs": [],
"source": [
"def create_html_doc_visualziation(html_file_dir=\"../html_files\"):\n",
" \n",
" if os.path.exists(html_file_dir):\n",
" # Delete the contents of the directory\n",
" shutil.rmtree(html_file_dir)\n",
" # Recreate the directory\n",
" os.makedirs(html_file_dir)\n",
"\n",
" # Load the small English model\n",
" nlp = spacy.load(\"en_core_web_sm\", disable=['ner'])\n",
"\n",
" # Define the HTML template\n",
" html_template = \"\"\"\n",
" <!DOCTYPE html>\n",
" <html>\n",
" <head>\n",
" <meta charset=\"utf-8\">\n",
" <title>{doc_id} Visualization</title>\n",
" </head>\n",
" <body>\n",
" <h1>{doc_id} Visualization</h1>\n",
" <p><a href=\"main.html\">Back to Main Page</a></p>\n",
" {displacy_output}\n",
" </body>\n",
" </html>\n",
" \"\"\"\n",
" \n",
" for doc_id, doc in data.items():\n",
" text = doc['text']\n",
" annotations = doc['annotations']\n",
"\n",
"\n",
" # Create a Doc object from the text\n",
" doc = nlp(text)\n",
" prev_end = -1\n",
" # Add your custom annotations to the Doc object\n",
" for ann in annotations:\n",
" label = ann[\"label\"]\n",
" start = ann[\"start\"]\n",
" end = ann[\"end\"]\n",
" if start > prev_end:\n",
" span = doc.char_span(start, end, label=label)\n",
" if span is not None:\n",
" doc.ents += tuple([span])\n",
" prev_end = end\n",
"\n",
"\n",
" options = {\"compact\": True, \"bg\": \"#F8F8F8\",\n",
" \"ents\": list(colors.keys()), \n",
" \"colors\": colors,\n",
" \"collapse_punct\": False}\n",
"\n",
" # Generate the HTML visualization\n",
" html = displacy.render(doc, style=\"ent\", options=options, jupyter=False)\n",
" \n",
" # Fill in the HTML template with the doc ID and displaCy output\n",
" html = html_template.format(doc_id=doc_id, displacy_output=html)\n",
"\n",
" # Write the HTML to a file\n",
" with open(os.path.join(html_file_dir, f\"{doc_id}.html\"), \"w\", encoding=\"utf-8\") as f:\n",
" f.write(html)\n",
" \n",
"\n",
" # Define the HTML template for the main page\n",
" html_template = \"\"\"\n",
" <!DOCTYPE html>\n",
" <html>\n",
" <head>\n",
" <meta charset=\"utf-8\">\n",
" <title>NER Document Visualization</title>\n",
" <style>\n",
" /* Add some basic styling */\n",
" body {{\n",
" font-family: Arial, sans-serif;\n",
" }}\n",
" h1 {{\n",
" text-align: center;\n",
" }}\n",
" ul {{\n",
" list-style: none;\n",
" padding: 0;\n",
" }}\n",
" li {{\n",
" margin-bottom: 10px;\n",
" }}\n",
" a {{\n",
" text-decoration: none;\n",
" color: blue;\n",
" }}\n",
" </style>\n",
" </head>\n",
" <body>\n",
" <h1>Main Page</h1>\n",
" <ul>\n",
" {doc_links}\n",
" </ul>\n",
" </body>\n",
" </html>\n",
" \"\"\"\n",
"\n",
" # Create a list of links to the doc files\n",
" doc_links = \"\"\n",
" for doc_id in doc_ids:\n",
" doc_link = f'<li><a href=\"{doc_id}.html\">{doc_id}</a></li>'\n",
" doc_links += doc_link\n",
"\n",
" # Fill in the HTML template with the doc links\n",
" html = html_template.format(doc_links=doc_links)\n",
"\n",
" # Write the HTML to a file\n",
" with open(os.path.join(html_file_dir, \"main.html\"), \"w\", encoding=\"utf-8\") as f:\n",
" f.write(html)\n"
]
},
{
"cell_type": "code",
"execution_count": 72,
"id": "b5c020da",
"metadata": {},
"outputs": [],
"source": [
"create_html_doc_visualziation(html_file_dir=\"../html_files\")"
]
},
{
"cell_type": "markdown",
"id": "fd81ee7f",
"metadata": {},
"source": [
"### Token frequency analysis"
]
},
{
"cell_type": "code",
"execution_count": 73,
"id": "738a22a8",
"metadata": {},
"outputs": [],
"source": [
"# Define the function to get token counts\n",
"def get_token_counts(data, remove_stop_words=True):\n",
" token_counts = Counter()\n",
" stop_words = set(stopwords.words('english'))\n",
" for file_id, file_data in data.items():\n",
" text = file_data['text']\n",
" annotations = file_data['annotations']\n",
" for annotation in annotations:\n",
" label = annotation['label']\n",
" start = annotation['start']\n",
" end = annotation['end']\n",
" annotated_text = text[start:end]\n",
" annotated_tokens = annotated_text.split()\n",
" if remove_stop_words:\n",
" annotated_tokens = [token for token in annotated_tokens if token.lower() not in stop_words]\n",
" token_counts.update(annotated_tokens)\n",
" return token_counts"
]
},
{
"cell_type": "markdown",
"id": "4411960a",
"metadata": {},
"source": [
"### Annotated token frequency (without removing stop_words)"
]
},
{
"cell_type": "code",
"execution_count": 74,
"id": "7b1832e6",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"token_counts = get_token_counts(data, remove_stop_words=False)\n",
"\n",
"# Sort the tokens by frequency\n",
"sorted_tokens = sorted(token_counts.items(), key=lambda x: x[1], reverse=True)\n",
"\n",
"# Get the top 20 most common tokens and their counts\n",
"top_tokens = [t[0] for t in sorted_tokens[:20]]\n",
"top_counts = [t[1] for t in sorted_tokens[:20]]\n",
"\n",
"# Create the bar plot\n",
"plt.bar(top_tokens, top_counts)\n",
"plt.xticks(rotation=90)\n",
"plt.xlabel('Token')\n",
"plt.ylabel('Frequency')\n",
"plt.title('Token Frequency Analysis')\n",
"plt.show()\n"
]
},
{
"cell_type": "markdown",
"id": "986cb352",
"metadata": {},
"source": [
"### Annotated token frequency (After removing stop_words)"
]
},
{
"cell_type": "code",
"execution_count": 75,
"id": "8251c849",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"\n",
"token_counts = get_token_counts(data)\n",
"\n",
"# Sort the tokens by frequency\n",
"sorted_tokens = sorted(token_counts.items(), key=lambda x: x[1], reverse=True)\n",
"\n",
"# Get the top 20 most common tokens and their counts\n",
"top_tokens = [t[0] for t in sorted_tokens[:20]]\n",
"top_counts = [t[1] for t in sorted_tokens[:20]]\n",
"\n",
"# Create the bar plot\n",
"plt.bar(top_tokens, top_counts)\n",
"plt.xticks(rotation=90)\n",
"plt.xlabel('Token')\n",
"plt.ylabel('Frequency')\n",
"plt.title('Token Frequency Analysis')\n",
"plt.show()\n"
]
},
{
"cell_type": "markdown",
"id": "36e11a78",
"metadata": {},
"source": [
"### Collocation analysis"
]
},
{
"cell_type": "code",
"execution_count": 76,
"id": "5b824092",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[('ground', 'glass'),\n",
" ('glasgow', 'coma'),\n",
" ('lesser', 'curvature'),\n",
" ('egfr', 'tki'),\n",
" ('vena', 'cava'),\n",
" ('bronchoalveolar', 'lavage'),\n",
" ('glomerular', 'filtration'),\n",
" ('muscularis', 'propria'),\n",
" ('6-minute', 'walk'),\n",
" ('alkaline', 'phosphatase')]"
]
},
"execution_count": 76,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import nltk\n",
"from nltk.collocations import BigramAssocMeasures, BigramCollocationFinder\n",
"\n",
"# Define the function to get collocations\n",
"def get_collocations(data):\n",
" # Tokenize the text and filter out stop words\n",
" stop_words = set(nltk.corpus.stopwords.words('english'))\n",
" tokenized_text = [word.lower() for file_id, file_data in data.items() for word in file_data['text'].split() if word.lower() not in stop_words]\n",
"\n",
" # Create a bigram collocation finder\n",
" bigram_measures = BigramAssocMeasures()\n",
" bigram_finder = BigramCollocationFinder.from_words(tokenized_text)\n",
"\n",
" # Filter out low frequency bigrams and get the top 10 collocations\n",
" bigram_finder.apply_freq_filter(5)\n",
" top_collocations = bigram_finder.nbest(bigram_measures.pmi, 10)\n",
"\n",
" return top_collocations\n",
"get_collocations(data)"
]
},
{
"cell_type": "code",
"execution_count": 77,
"id": "dcd50453",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
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" (('malignant', 'cells'), 0.01652892561983471),\n",
" (('12', '×'), 0.008264462809917356),\n",
" (('15', 'mm'), 0.008264462809917356),\n",
" (('2%', 'size'), 0.008264462809917356),\n",
" (('2008', '4'), 0.008264462809917356),\n",
" (('24', 'year'), 0.008264462809917356),\n",
" (('4', 'cm'), 0.008264462809917356),\n",
" (('4', 'days'), 0.008264462809917356),\n",
" (('6', 'months'), 0.008264462809917356),\n",
" (('Abrikossoff', 'tumor'), 0.008264462809917356),\n",
" (('CT', 'scan'), 0.008264462809917356),\n",
" (('Cuban', 'cold'), 0.008264462809917356),\n",
" (('Four', 'days'), 0.008264462809917356),\n",
" (('May', '2008'), 0.008264462809917356),\n",
" (('S100', 'positive'), 0.008264462809917356),\n",
" (('admission.', 'histological'), 0.008264462809917356),\n",
" (('after', 'discharge'), 0.008264462809917356),\n",
" (('after', 'recovery'), 0.008264462809917356),\n",
" (('after', 'the'), 0.008264462809917356),\n",
" (('biopsy', 'mass'), 0.008264462809917356),\n",
" (('bleeding', 'biopsy'), 0.008264462809917356),\n",
" (('breathing', 'holidays'), 0.008264462809917356),\n",
" (('bronchial', 'lavage'), 0.008264462809917356),\n",
" (('bronchoscopy', 'non'), 0.008264462809917356),\n",
" (('bronchus', 'histologically'), 0.008264462809917356),\n",
" (('cell', 'Abrikossoff'), 0.008264462809917356),\n",
" (('cells', 'cytological'), 0.008264462809917356),\n",
" (('cells', 'discharged'), 0.008264462809917356),\n",
" (('cm', 'solid'), 0.008264462809917356),\n",
" (('cold', 'fever'), 0.008264462809917356),\n",
" (('cold.', 'loss'), 0.008264462809917356),\n",
" (('concomitant', 'right'), 0.008264462809917356),\n",
" (('cough', 'persisted'), 0.008264462809917356),\n",
" (('cough', 'strong'), 0.008264462809917356),\n",
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" (('days', 'concomitant'), 0.008264462809917356),\n",
" (('decreasing', 'hematoma'), 0.008264462809917356),\n",
" (('discharge', 'spontaneous'), 0.008264462809917356),\n",
" (('discharged', 'Four'), 0.008264462809917356),\n",
" (('drained', 'liquid'), 0.008264462809917356),\n",
" (('drained', 'malignant'), 0.008264462809917356),\n",
" (('dry', 'cough'), 0.008264462809917356),\n",
" (('examination', 'drained'), 0.008264462809917356),\n",
" (('examination', 'peribronchial'), 0.008264462809917356),\n",
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" (('fever', 'strong'), 0.008264462809917356),\n",
" (('from', 'the'), 0.008264462809917356),\n",
" (('granular', 'cell'), 0.008264462809917356),\n",
" (('growth', 'rate'), 0.008264462809917356),\n",
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" (('hemoptysis', 'May'), 0.008264462809917356),\n",
" (('hemothorax', 'drained'), 0.008264462809917356),\n",
" (('hemothorax', 'readmitted'), 0.008264462809917356),\n",
" (('his', 'home'), 0.008264462809917356),\n",
" (('histological', 'examination'), 0.008264462809917356),\n",
" (('histologically', 'immunohistologically'), 0.008264462809917356),\n",
" (('holidays', 'in'), 0.008264462809917356),\n",
" (('home', 'country'), 0.008264462809917356),\n",
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" (('lobectomy', '6'), 0.008264462809917356),\n",
" (('loss', 'of'), 0.008264462809917356),\n",
" (('low', 'growth'), 0.008264462809917356),\n",
" (('lower', 'thorax'), 0.008264462809917356),\n",
" (('male', 'presented'), 0.008264462809917356),\n",
" (('mass', 'lower'), 0.008264462809917356),\n",
" (('mass', 'paravertebral'), 0.008264462809917356),\n",
" (('metastases', 'bronchoscopy'), 0.008264462809917356),\n",
" (('months', 'after'), 0.008264462809917356),\n",
" (('negative', 'malignant'), 0.008264462809917356),\n",
" (('non', 'bleeding'), 0.008264462809917356),\n",
" (('non', 'smoking'), 0.008264462809917356),\n",
" (('of', 'weight'), 0.008264462809917356),\n",
" (('old', 'non'), 0.008264462809917356),\n",
" (('pain', 'which'), 0.008264462809917356),\n",
" (('paravertebral', 'right'), 0.008264462809917356),\n",
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" (('persisted', 'after'), 0.008264462809917356),\n",
" (('positive', 'tumor'), 0.008264462809917356),\n",
" (('presented', 'repeated'), 0.008264462809917356),\n",
" (('rate', '2%'), 0.008264462809917356),\n",
" (('readmitted', 'hemothorax'), 0.008264462809917356),\n",
" (('recovery', 'from'), 0.008264462809917356),\n",
" (('repeated', 'hemoptysis'), 0.008264462809917356),\n",
" (('right', 'bronchus'), 0.008264462809917356),\n",
" (('right', 'lobectomy'), 0.008264462809917356),\n",
" (('right', 'lower'), 0.008264462809917356),\n",
" (('right', 'thoracic'), 0.008264462809917356),\n",
" (('scan', 'thorax'), 0.008264462809917356),\n",
" (('size', '15'), 0.008264462809917356),\n",
" (('smoking', 'male'), 0.008264462809917356),\n",
" (('solid', 'mass'), 0.008264462809917356),\n",
" (('spontaneous', 'hemothorax'), 0.008264462809917356),\n",
" (('strong', 'cough'), 0.008264462809917356),\n",
" (('strong', 'dry'), 0.008264462809917356),\n",
" (('the', 'cold.'), 0.008264462809917356),\n",
" (('the', 'initial'), 0.008264462809917356),\n",
" (('thoracic', 'pain'), 0.008264462809917356),\n",
" (('thorax', '12'), 0.008264462809917356),\n",
" (('thorax', 'metastases'), 0.008264462809917356),\n",
" (('tumor', 'bronchial'), 0.008264462809917356),\n",
" (('tumor', 'excised'), 0.008264462809917356),\n",
" (('tumor', 'tumor'), 0.008264462809917356),\n",
" (('tumor', 'very'), 0.008264462809917356),\n",
" (('very', 'low'), 0.008264462809917356),\n",
" (('weight', 'CT'), 0.008264462809917356),\n",
" (('which', 'intensified'), 0.008264462809917356),\n",
" (('while', 'breathing'), 0.008264462809917356),\n",
" (('year', 'old'), 0.008264462809917356),\n",
" (('×', '4'), 0.008264462809917356),\n",
" (('and', 'left'), 0.012121212121212121),\n",
" (('left', 'hepatic'), 0.012121212121212121),\n",
" (('magnetic', 'resonance'), 0.012121212121212121),\n",
" (('right', 'and'), 0.012121212121212121),\n",
" (('(Ig)', 'G'), 0.006060606060606061),\n",
" (('1.0', 'alanine'), 0.006060606060606061),\n",
" (('116.96', 'μmol/L'), 0.006060606060606061),\n",
" (('139', 'U/L'), 0.006060606060606061),\n",
" (('156.98', 'μmol/L'), 0.006060606060606061),\n",
" (('1880', 'mg/dL'), 0.006060606060606061),\n",
" (('19', '9'), 0.006060606060606061),\n",
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" (('2.8', 'cm'), 0.006060606060606061),\n",
" (('247', 'U/L'), 0.006060606060606061),\n",
" (('4.2', 'cm'), 0.006060606060606061),\n",
" (('524', 'U/L'), 0.006060606060606061),\n",
" (('6.84', 'mg/dL'), 0.006060606060606061),\n",
" (('68', 'year'), 0.006060606060606061),\n",
" (('856', 'U/mL'), 0.006060606060606061),\n",
" (('890', 'g/L'), 0.006060606060606061),\n",
" (('9', '856'), 0.006060606060606061),\n",
" (('9.18', 'mg/dL'), 0.006060606060606061),\n",
" (('9.9', 'kg'), 0.006060606060606061),\n",
" (('Biliary', 'brushings'), 0.006060606060606061),\n",
" (('Biopsies', 'ampulla'), 0.006060606060606061),\n",
" (('D', 'amlodipine'), 0.006060606060606061),\n",
" (('Doppler', 'ultrasound'), 0.006060606060606061),\n",
" (('Endoscopic', 'retrograde'), 0.006060606060606061),\n",
" (('Esophagogastroduodenoscopy', 'normal'), 0.006060606060606061),\n",
" (('G', '1880'), 0.006060606060606061),\n",
" (('IgG4', '890'), 0.006060606060606061),\n",
" (('Medications', 'vitamin'), 0.006060606060606061),\n",
" (('Physical', 'examination'), 0.006060606060606061),\n",
" (('Total', 'direct'), 0.006060606060606061),\n",
" (('U/L', 'Viral'), 0.006060606060606061),\n",
" (('U/L', 'alkaline'), 0.006060606060606061),\n",
" (('U/L', 'aspartate'), 0.006060606060606061),\n",
" (('U/mL', 'IgG4'), 0.006060606060606061),\n",
" (('Vater', 'chronic'), 0.006060606060606061),\n",
" (('Viral', 'hepatitis'), 0.006060606060606061),\n",
" (('abnormalities', 'within'), 0.006060606060606061),\n",
" (('active', 'duodenitis'), 0.006060606060606061),\n",
" (('alanine', 'aminotransferase'), 0.006060606060606061),\n",
" (('alkaline', 'phosphatase'), 0.006060606060606061),\n",
" (('alpha', 'fetoprotein'), 0.006060606060606061),\n",
" (('aminotransferase', '139'), 0.006060606060606061),\n",
" (('aminotransferase', '247'), 0.006060606060606061),\n",
" (('amlodipine', 'eprosartan'), 0.006060606060606061),\n",
" (('ampulla', 'of'), 0.006060606060606061),\n",
" (('ancillary', 'test'), 0.006060606060606061),\n",
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" (('bilirubin', '6.84'), 0.006060606060606061),\n",
" (('biochemical', 'radiological'), 0.006060606060606061),\n",
" (('bowel', 'movements'), 0.006060606060606061),\n",
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" (('carbohydrate', 'antigen'), 0.006060606060606061),\n",
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" (('cholangiocarcinoma', 'Biliary'), 0.006060606060606061),\n",
" (('cholangiopancreatography', 'magnetic'), 0.006060606060606061),\n",
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" (('diagnosis', 'corticosteroids'), 0.006060606060606061),\n",
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" (('duct', 'cholangiocarcinoma'), 0.006060606060606061),\n",
" (('ducts', 'Endoscopic'), 0.006060606060606061),\n",
" (('duodenitis', 'ancillary'), 0.006060606060606061),\n",
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" (('hilum', 'porta'), 0.006060606060606061),\n",
" (('hypertension', 'hypertension'), 0.006060606060606061),\n",
" (('hypertension', 'presented'), 0.006060606060606061),\n",
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" (('immunoglobulin', '(Ig)'), 0.006060606060606061),\n",
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" (('mg/dL', 'carbohydrate'), 0.006060606060606061),\n",
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" (('retrograde', 'cholangiopancreatography'), 0.006060606060606061),\n",
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" (('strictures', 'central'), 0.006060606060606061),\n",
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" (('ultrasound', 'magnetic'), 0.006060606060606061),\n",
" (('vitamin', 'D'), 0.006060606060606061),\n",
" (('wasting', 'colonoscopy'), 0.006060606060606061),\n",
" (('weight', 'loss'), 0.006060606060606061),\n",
" (('within', 'three'), 0.006060606060606061),\n",
" (('year', 'old'), 0.006060606060606061),\n",
" (('μmol/L', '9.18'), 0.006060606060606061),\n",
" (('μmol/L', 'international'), 0.006060606060606061),\n",
" (('serum', 'PRL'), 0.008064516129032258),\n",
" (('stimulating', 'hormone'), 0.008064516129032258),\n",
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" (('2.68', 'μIU/ml'), 0.004032258064516129),\n",
" (('2207', 'ng/ml'), 0.004032258064516129),\n",
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" (('ACTH', '37.4'), 0.004032258064516129),\n",
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" (('AE1/AE3', 'CK'), 0.004032258064516129),\n",
" (('AE1/AE3', 'vimentin'), 0.004032258064516129),\n",
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" (('CT', 'head'), 0.004032258064516129),\n",
" (('EMA', 'cytokeratin'), 0.004032258064516129),\n",
" (('FSH', '4.57'), 0.004032258064516129),\n",
" (('FSH', 'other'), 0.004032258064516129),\n",
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" (('stool', 'cultures'), 0.003289473684210526),\n",
" (('studies', 'negative'), 0.003289473684210526),\n",
" (('symptoms', 'respiratory'), 0.003289473684210526),\n",
" ...]"
]
},
"execution_count": 77,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from nltk.collocations import BigramAssocMeasures, BigramCollocationFinder\n",
"\n",
"def get_collocations(data):\n",
" collocations = []\n",
" for file_id, file_data in data.items():\n",
" text = file_data['text']\n",
" annotations = file_data['annotations']\n",
" annotated_tokens = []\n",
" for annotation in annotations:\n",
" start = annotation['start']\n",
" end = annotation['end']\n",
" annotated_text = text[start:end]\n",
" annotated_tokens += annotated_text.split()\n",
"\n",
" finder = BigramCollocationFinder.from_words(annotated_tokens)\n",
" bigram_measures = BigramAssocMeasures()\n",
" scored = finder.score_ngrams(bigram_measures.raw_freq)\n",
" collocations += scored\n",
"\n",
" return collocations\n",
"get_collocations(data)"
]
},
{
"cell_type": "code",
"execution_count": 78,
"id": "135d5ee5",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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"text/plain": [
"<Figure size 2500x2000 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import spacy\n",
"import pandas as pd\n",
"import matplotlib.pyplot as plt\n",
"\n",
"nlp = spacy.load('en_core_web_sm')\n",
"\n",
"# Load stop words\n",
"stop_words = set(nltk.corpus.stopwords.words('english'))\n",
"\n",
"all_tokens = []\n",
"\n",
"for doc_id, doc in data.items():\n",
" contents = doc['text']\n",
" # tokenize the text\n",
" tokens = nltk.word_tokenize(contents.lower())\n",
" # remove stop words and punctuation\n",
" tokens = [token for token in tokens if token not in stop_words and token.isalpha()]\n",
" all_tokens.extend(tokens)\n",
"\n",
"# create bigrams\n",
"bigrams = list(nltk.bigrams(all_tokens))\n",
"# create a bigram collocation finder\n",
"finder = BigramCollocationFinder.from_documents(bigrams)\n",
"# apply a scoring metric to rank the collocations\n",
"scored = finder.score_ngrams(BigramAssocMeasures().raw_freq)\n",
"# get the top 30 collocations\n",
"collocations = [' '.join(collocation) for collocation, score in scored[:30]]\n",
"\n",
"# create a pandas dataframe with the collocations and their frequency\n",
"collocations_freq = [score for collocation, score in scored[:30]]\n",
"collocations = [' '.join(collocation) for collocation, score in scored[:30]]\n",
"df = pd.DataFrame({'collocation': collocations, 'frequency': collocations_freq})\n",
"\n",
"# plot the collocations as a bar chart\n",
"plt.figure(figsize=(25, 20))\n",
"plt.rcParams.update({'font.size': 25})\n",
"plt.barh(df['collocation'], df['frequency'], color='blue')\n",
"plt.title('Top 30 Bigram Collocations')\n",
"plt.ylabel('Collocations')\n",
"plt.xlabel('Frequency score')\n",
"plt.tight_layout() # optional, to improve spacing\n",
"\n",
"plt.show()\n",
"\n"
]
},
{
"cell_type": "markdown",
"id": "366e439f",
"metadata": {},
"source": [
"### Distribution of Entity types"
]
},
{
"cell_type": "code",
"execution_count": 79,
"id": "66d66d09",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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"text/plain": [
"<Figure size 1000x1200 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import spacy\n",
"import pandas as pd\n",
"import matplotlib.pyplot as plt\n",
"\n",
"# Load spaCy's English model\n",
"nlp = spacy.load('en_core_web_sm', disable=['ner'])\n",
"\n",
"# Create an empty dictionary to store entity types and their counts\n",
"entity_counts = {}\n",
"\n",
"# Loop through each document in your data dictionary\n",
"for doc_id, doc in data.items():\n",
" contents = doc['text']\n",
" annotations = doc['annotations']\n",
"\n",
" # Create a Doc object from the text\n",
" doc = nlp(contents)\n",
" prev_end = -1\n",
" # Add your custom annotations to the Doc object\n",
" for ann in annotations:\n",
" label = ann[\"label\"]\n",
" start = ann[\"start\"]\n",
" end = ann[\"end\"]\n",
" if start > prev_end:\n",
" span = doc.char_span(start, end, label=label)\n",
" if span is not None:\n",
" doc.ents += tuple([span])\n",
" prev_end = end\n",
" \n",
" # Loop through each entity in the parsed document\n",
" for ent in doc.ents:\n",
" # If the entity type is not in the entity_counts dictionary, add it with a count of 1\n",
" if ent.label_ not in entity_counts:\n",
" entity_counts[ent.label_] = 1\n",
" # If the entity type is already in the entity_counts dictionary, increment its count by 1\n",
" else:\n",
" entity_counts[ent.label_] += 1 \n",
" \n",
"# Convert the entity_counts dictionary to a pandas DataFrame for plotting\n",
"df = pd.DataFrame({'Entity Type': list(entity_counts.keys()), 'Count': list(entity_counts.values())})\n",
"\n",
"# Sort the DataFrame by count in descending order\n",
"df = df.sort_values(by=['Count'], ascending=False)\n",
"\n",
"# Plot the entity type counts as a bar chart\n",
"plt.rcParams.update({'font.size': 13})\n",
"\n",
"plt.figure(figsize=(10, 12))\n",
"plt.barh(df['Entity Type'], df['Count'], color='blue')\n",
"\n",
"plt.title('Distribution of Entity Types')\n",
"plt.ylabel('Entity Type')\n",
"plt.xlabel('Count')\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"id": "15ff5818",
"metadata": {},
"source": [
"### Analyzing the entity lengths, frequencies, and contexts."
]
},
{
"cell_type": "code",
"execution_count": 80,
"id": "398cf163",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Entity lengths:\n",
" Min: 1\n",
" Max: 54\n",
" Mean: 6.400996345283676\n",
"Entity frequencies:\n",
" Age: 613\n",
" History: 1846\n",
" Sex: 191\n",
" Clinical_event: 757\n",
" Detailed_description: 5319\n",
" Sign_symptom: 4814\n",
" Date: 2112\n",
" Duration: 756\n",
" Biological_structure: 5488\n",
" Personal_background: 73\n",
" Severity: 415\n",
" Texture: 77\n",
" Coreference: 437\n",
" Diagnostic_procedure: 8364\n",
" Area: 174\n",
" Disease_disorder: 2209\n",
" Lab_value: 5005\n",
" Therapeutic_procedure: 1601\n",
" Distance: 325\n",
" Medication: 1444\n",
" Dosage: 991\n",
" Shape: 94\n",
" Administration: 205\n",
" Nonbiological_location: 695\n",
" Qualitative_concept: 56\n",
" Frequency: 170\n",
" Activity: 179\n",
" Volume: 122\n",
" Quantitative_concept: 65\n",
" Outcome: 54\n",
" Subject: 78\n",
" Color: 82\n",
" Other_event: 94\n",
" Time: 169\n",
" Family_history: 493\n",
" Biological_attribute: 13\n",
" Height: 8\n",
" Mass: 4\n",
" Occupation: 41\n",
" Weight: 8\n",
" Other_entity: 327\n",
"Entity contexts:\n",
" Age:\n",
" - -year-old non-smoking male patient presented with repeated hemoptysis in\n",
" - -smoking male patient presented with repeated hemoptysis in May 2008 with 4\n",
" - A 68-year-old female nonsmoker, nondrinker with a medical history\n",
" History:\n",
" - presented with repeated hemoptysis in May 2008 with 4 days of concomitant right\n",
" - in May 2008 with 4 days of concomitant right thoracic pain which intensified while breathing.\n",
"\n",
" - discharge a spontaneous hemothorax developed.\n",
"The patient needed to be readmitted and the hemothorax was drained\n",
" Sex:\n",
" - right thoracic pain which intensified while breathing.\n",
"During holidays in his home\n",
" - nondrinker with a medical history of hypertension presented with new-onset painless jaundice and pruritus\n",
" - noticed left-sided visual loss and amenorrhea 2 years prior to being seen, with\n",
" Clinical_event:\n",
" - home country, this Cuban patient suffered from a cold with fever and a strong cough.\n",
"The\n",
" Detailed_description:\n",
" - cough.\n",
"The strong dry cough persisted after recovery from the cold.\n",
"The patient did\n",
" - without any signs of metastases (Figure 1).\n",
"The bronchoscopy (Figure 2) with non-bleeding\n",
" - and immunohistologically provided evidence of a granular cell or Abrikossoff tumor [1].\n",
" Sign_symptom:\n",
" - recovery from the cold.\n",
"The patient did not report any loss of weight.\n",
"The initial CT\n",
" - lower right bronchus which histologically and immunohistologically provided evidence of a granular cell or\n",
" - histological examination confirmed a peribronchial and infiltrating S100 positive tumor supporting the Schwann cell\n",
" Date:\n",
" - weight.\n",
"The initial CT scan of the thorax showed a 12\n",
" - initial CT scan of the thorax showed a 12 × 4 cm solid mass\n",
" Duration:\n",
" - 4 cm solid mass paravertebral right in the lower thorax without\n",
" - solid mass paravertebral right in the lower thorax without any signs of metastases (\n",
" - aminotransferase level 139 U/L (normal <32 U/L) and\n",
" Biological_structure:\n",
" - bronchoscopy (Figure 2) with non-bleeding biopsy revealed a mass of the\n",
" - non-bleeding biopsy revealed a mass of the lower right bronchus which histologically and immunohistologically provided evidence\n",
" Personal_background:\n",
" - After an uneventful course and decreasing of the hematoma, the tumor was excised by\n",
" - of 16 months, he presented with a clinically evident enlarged abdomen and was referred for oncological\n",
" - an abdominal ultrasound and computed tomography (CT) that revealed: Aspect of ileitis of the last\n",
" Severity:\n",
" - 2% and a size of 15 mm (Figure 3).\n",
"\n",
" - adrenocorticotropic hormone (ACTH), 37.4 pg/ml; thyroid-stimulating hormone (TSH), 2.68\n",
" Texture:\n",
" Coreference:\n",
" Diagnostic_procedure:\n",
" Area:\n",
" Disease_disorder:\n",
" Lab_value:\n",
" Therapeutic_procedure:\n",
" Distance:\n",
" Medication:\n",
" - /L (normal <3 g/L).\n",
"Doppler ultrasound, magnetic resonance cholangiopancreatography and magnetic resonance imaging\n",
" - of the liver were suspicious for a subtly enhancing mass (2.8 cm to 4.2 cm in\n",
" - enhancing mass (2.8 cm to 4.2 cm in diameter)\n",
" Dosage:\n",
" Shape:\n",
" Administration:\n",
" Nonbiological_location:\n",
" Qualitative_concept:\n",
" - ; ejection fraction, 36.6%; and LV mass index, 75.6 g (Z = 6.3;\n",
" - the other hand, in colonoscopy terminal ileum appears swollen, inflamed, with frequent ulcerations and\n",
" - appears swollen, inflamed, with frequent ulcerations and biopsies were made.\n",
"\n",
" Frequency:\n",
" - ICU, we performed genetic analysis for Barth syndrome from the\n",
" - we performed genetic analysis for Barth syndrome from the evidence of displayed cardiomyopathy, neutropenia\n",
" Activity:\n",
" Volume:\n",
" Quantitative_concept:\n",
" - -plateau configuration.\n",
"Skin biopsy revealed hyperkeratosis in the epidermis and mild inflammatory changes throughout the\n",
" Outcome:\n",
" Subject:\n",
" Color:\n",
" Other_event:\n",
" - The biopsies were taken and show a subacute and ulcerative ileitis compatible with Crohn's disease.\n",
" - 100 nM (nM) [2].\n",
"Standard dose erlotinib (150 mg daily) achieves 3000\n",
" Time:\n",
" Family_history:\n",
" Biological_attribute:\n",
" - initial improvement, 1 year after this treatment was started uveitis worsened, and at age 12 years infliximab was\n",
" Height:\n",
" - ; (b) small chest, as determined by a cardiothoracic examination\n",
" - small chest, as determined by a cardiothoracic examination; and (\n",
" - .\n",
"After surgery, the cardiac function improved drastically (cardiothoracic ratio=0.47\n",
" Mass:\n",
" - (Fig.2).\n",
"During endoscopy a pedicle was not\n",
" - ).\n",
"During endoscopy a pedicle was not identify by handling\n",
" Occupation:\n",
" - presented to the West China Hospital of Sichuan University because of an over 1-month\n",
" - Sichuan University because of an over 1-month history of recurrent fever (between 38\n",
" - He did not have chest pain or shortness of breath.\n",
"Further inquiry revealed\n",
" Weight:\n",
" - of ventricular arrhythmias decreased and pimobendan was tapered off.\n",
"\n",
" - decreased and pimobendan was tapered off.\n",
"\n",
" Other_entity:\n"
]
}
],
"source": [
"# load the data\n",
"nlp = spacy.load('en_core_web_sm', disable=['ner'])\n",
"\n",
"# get the entity lengths\n",
"entity_lengths = []\n",
"for doc_id in data:\n",
" for ann in data[doc_id]['annotations']:\n",
" entity_lengths.append(ann['end'] - ann['start'])\n",
"\n",
"# get the entity frequencies\n",
"entity_frequencies = Counter()\n",
"for doc_id in data:\n",
" for ann in data[doc_id]['annotations']:\n",
" entity_frequencies[ann['label']] += 1\n",
"\n",
"# get the entity contexts\n",
"entity_contexts = {}\n",
"for doc_id in data:\n",
" doc = nlp(data[doc_id]['text'])\n",
" \n",
" for ann in data[doc_id]['annotations']:\n",
" label = ann[\"label\"]\n",
" start = ann[\"start\"]\n",
" end = ann[\"end\"]\n",
" if start > prev_end:\n",
" span = doc.char_span(start, end, label=label)\n",
" if span is not None:\n",
" doc.ents += tuple([span])\n",
" prev_end = end\n",
" \n",
" for ent in doc.ents:\n",
" label = ent.label_\n",
" start = ent.start_char\n",
" end = ent.end_char\n",
" context = doc[max(0, start-5):end+5].text\n",
" if label not in entity_contexts:\n",
" entity_contexts[label] = []\n",
" entity_contexts[label].append(context)\n",
"\n",
"# print the results\n",
"print('Entity lengths:')\n",
"print(' Min:', min(entity_lengths))\n",
"print(' Max:', max(entity_lengths))\n",
"print(' Mean:', sum(entity_lengths)/len(entity_lengths))\n",
"print('Entity frequencies:')\n",
"for label, freq in entity_frequencies.items():\n",
" print(' {}: {}'.format(label, freq))\n",
"print('Entity contexts:')\n",
"for label, contexts in entity_contexts.items():\n",
" print(' {}:'.format(label))\n",
" for context in contexts[:3]:\n",
" if context:\n",
" print(' - {}'.format(context))\n"
]
},
{
"cell_type": "markdown",
"id": "47c9e0f6",
"metadata": {},
"source": [
"### Check for overlapping entities:"
]
},
{
"cell_type": "code",
"execution_count": 81,
"id": "83ed7d4d",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Total number of words with multi labels found is 826\n",
"Total number of files with multi labelled words is 105\n"
]
}
],
"source": [
"multi_label_words_count = 0\n",
"multi_label_files_count = 0\n",
"for file_id in data:\n",
" annotations = data[file_id]['annotations']\n",
" overlapping = False\n",
"\n",
" for i in range(len(annotations)-1):\n",
" if annotations[i]['end'] >= annotations[i+1]['start']:\n",
" overlapping = True\n",
" multi_label_words_count += 1\n",
" # print(f\"Overlap found between {annotations[i]} and {annotations[i+1]}\")\n",
"\n",
" if overlapping:\n",
" multi_label_files_count += 1\n",
" \n",
"print(f\"Total number of words with multi labels found is {multi_label_words_count}\")\n",
"print(f\"Total number of files with multi labelled words is {multi_label_files_count}\")"
]
},
{
"cell_type": "code",
"execution_count": 82,
"id": "4ea8087b",
"metadata": {},
"outputs": [],
"source": [
"total_count = 0\n",
"overlapping_count_dict = {}\n",
"for doc_id in data:\n",
"\n",
" overlapping_count = 0\n",
" \n",
" text = data[doc_id]['text']\n",
" \n",
" annotations = data[doc_id]['annotations']\n",
" \n",
" for i in range(len(annotations)-1):\n",
" label = annotations[i]['label']\n",
" start = annotations[i]['start']\n",
" end = annotations[i]['end']\n",
" \n",
" if annotations[i]['end'] > annotations[i+1]['start']:\n",
" total_count += 1\n",
" overlapping_count += 1\n",
" overlapping_count_dict[doc_id] = overlapping_count"
]
},
{
"cell_type": "code",
"execution_count": 153,
"id": "39fb238e",
"metadata": {},
"outputs": [
{
"data": {
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",
"text/plain": [
"<Figure size 1200x600 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import matplotlib.pyplot as plt\n",
"\n",
"sorted_dict = dict(sorted(overlapping_count_dict.items(), key=lambda item: item[1], reverse=True)[:20])\n",
"doc_ids = list(sorted_dict.keys())\n",
"overlapping_counts = list(sorted_dict.values())\n",
"\n",
"fig, ax = plt.subplots(figsize=(12,6))\n",
"\n",
"\n",
"ax.set_xlabel('Doc ID')\n",
"ax.set_ylabel('Overlapping Entity Count')\n",
"ax.set_title('Top 20 Documents by Overlapping Entity Count')\n",
"ax.set_xticks(range(len(doc_ids))) # set the tick locations\n",
"ax.set_xticklabels(doc_ids, rotation=45, ha='right') # set the tick labels\n",
"ax.bar(doc_ids, overlapping_counts)\n",
"plt.show()\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 83,
"id": "33667222",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 1200x1000 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import numpy as np\n",
"import seaborn as sns\n",
"import matplotlib.pyplot as plt\n",
"\n",
"# create the entity_ranges dictionary\n",
"entity_ranges = {}\n",
"max_end_of_text = 0\n",
"\n",
"for doc_id in data:\n",
" text = data[doc_id]['text']\n",
" if len(text) > max_end_of_text:\n",
" max_end_of_text = len(text)\n",
" \n",
" annotations = data[doc_id]['annotations']\n",
" doc_entity_ranges = []\n",
" for ann in annotations:\n",
" start = ann['start']\n",
" end = ann['end']\n",
" doc_entity_ranges.append((start, end))\n",
" entity_ranges[doc_id] = doc_entity_ranges\n",
"\n",
"# create the heatmap with overlapping intensity levels\n",
"heatmap = np.zeros((len(entity_ranges), max_end_of_text))\n",
"row = 0\n",
"for doc_id, doc_entity_ranges in entity_ranges.items():\n",
" for start, end in doc_entity_ranges:\n",
" for i in range(start, end):\n",
" heatmap[row][i] += 1\n",
" row += 1\n",
"# plot the heatmap with Seaborn\n",
"plt.figure(figsize=(12, 10))\n",
"ax = sns.heatmap(heatmap, cmap='Reds', cbar_kws={'label': 'Intensity'})\n",
"ax.set_xlabel('Position')\n",
"ax.set_ylabel('Document ID')\n",
"ax.set_title('Heatmap of Overlapping Entities with Intensity Levels')\n",
"\n",
"plt.show()\n"
]
},
{
"cell_type": "markdown",
"id": "4284746f",
"metadata": {},
"source": [
"### Checking if subwords overlaps\n",
"\n",
"Checking if there are any annotated start_end_range partially overlapping"
]
},
{
"cell_type": "code",
"execution_count": 28,
"id": "0a28eb3f",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"part of words overlaps: old old,\n",
"part of words overlaps: symmetry, symmetry\n",
"part of words overlaps: months months’\n",
"part of words overlaps: years years.\n",
"part of words overlaps: walking walking,\n",
"part of words overlaps: (LV) LV\n",
"part of words overlaps: hepatitis hepatitis,\n",
"part of words overlaps: long ong\n",
"part of words overlaps: insufficiency insufficiency,\n",
"part of words overlaps: IIA, IIA\n",
"part of words overlaps: T1bN1, T1bN1\n",
"part of words overlaps: bacteria bacteria,\n",
"part of words overlaps: diarrhoea, diarrhoea\n",
"part of words overlaps: intake intake,\n",
"part of words overlaps: drugs drugs,\n",
"part of words overlaps: tobacco tobacco,\n",
"part of words overlaps: pork, pork\n",
"part of words overlaps: consanguineous consanguineous,\n",
"part of words overlaps: output, output\n",
"part of words overlaps: dialysis, dialysis\n",
"part of words overlaps: intolerance, intolerance\n",
"part of words overlaps: palpitation, palpitation\n",
"part of words overlaps: GD GD,\n",
"part of words overlaps: smoking smoking,\n",
"part of words overlaps: sibling, sibling\n",
"part of words overlaps: student student,\n",
"part of words overlaps: trauma trauma,\n",
"part of words overlaps: drugs drugs,\n",
"part of words overlaps: sarcoma sarcoma,\n",
"part of words overlaps: cholecystectomy, cholecystectomy\n",
"part of words overlaps: (HBV) HBV\n"
]
}
],
"source": [
"for file_id in data:\n",
" annotations = data[file_id]['annotations']\n",
" overlapping = False\n",
"\n",
" for i in range(len(annotations)-1):\n",
" if annotations[i]['end'] > annotations[i+1]['start']:\n",
" overlapping = True\n",
" word_1 = data[file_id]['text'][annotations[i]['start']:annotations[i]['end']]\n",
" word_2 = data[file_id]['text'][annotations[i+1]['start']:annotations[i+1]['end']]\n",
"\n",
" if word_1 != word_2:\n",
" print(f\"part of words overlaps: {word_1} {word_2}\")\n",
"# print(f\"labels: {file_id} {annotations[i]['label']} {annotations[i]['start']} {annotations[i]['end']}, {annotations[i+1]['label']} {annotations[i+1]['start']} {annotations[i+1]['end']}\")"
]
},
{
"cell_type": "markdown",
"id": "bf7a1940",
"metadata": {},
"source": [
"We could see that there are a lot of overlapped annotated tokens differs by a trailing punctuations.\n",
"\n",
"It means for some tokens, duplicate annotations exists \n",
"* one that doesn't include trailing puncutation \n",
"* one that includes trailing punctuations"
]
},
{
"cell_type": "markdown",
"id": "c83387c3",
"metadata": {},
"source": [
"In general, it is recommended to remove trailing punctuation marks for Named Entity Recognition (NER) tasks. This is because trailing punctuation marks such as periods, commas, and question marks are often not part of the named entity and can lead to incorrect labeling."
]
},
{
"cell_type": "markdown",
"id": "3fbebd58",
"metadata": {},
"source": [
"data"
]
},
{
"cell_type": "code",
"execution_count": 28,
"id": "6b30bbb1",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Category Count\n",
"-----------------------------------\n",
"Starts with punctuation 158\n",
"Ends with punctuation 512\n",
"Neither 45298\n"
]
}
],
"source": [
"# Count number of files starting and ending with punctuation\n",
"start_punct_count = 0\n",
"end_punct_count = 0\n",
"neither_punct_count = 0\n",
"\n",
"# Loop through each file in the data dictionary\n",
"for file_id, file_data in data.items():\n",
"\n",
" for annotation in file_data['annotations']:\n",
" \n",
" # Get the annotated text\n",
" annotated_text = file_data['text'][annotation['start']:annotation['end']]\n",
" # Check if the first or last character of the annotated text is a punctuation character\n",
" if annotated_text[0] in string.punctuation:\n",
" start_punct_count += 1\n",
" elif annotated_text[-1] in string.punctuation:\n",
" end_punct_count += 1\n",
" else:\n",
" neither_punct_count += 1\n",
" \n",
"# Print counts in table format\n",
"print('{:<25}{}'.format('Category', 'Count'))\n",
"print('-'*35)\n",
"print('{:<25}{}'.format('Starts with punctuation', start_punct_count))\n",
"print('{:<25}{}'.format('Ends with punctuation', end_punct_count))\n",
"print('{:<25}{}'.format('Neither', neither_punct_count))\n"
]
},
{
"cell_type": "markdown",
"id": "c769a5c3",
"metadata": {},
"source": [
"#### Removing Trailing Punctuation"
]
},
{
"cell_type": "code",
"execution_count": 29,
"id": "c058e892",
"metadata": {},
"outputs": [],
"source": [
"def remove_trailing_punctuation(token):\n",
" \"\"\"\n",
" Removes trailing punctuation from a token.\n",
"\n",
" Args:\n",
" token (str): A string representing the token to be cleaned.\n",
"\n",
" Returns:\n",
" str: The cleaned token with trailing punctuation removed.\n",
" \"\"\"\n",
" while token and re.search(r'[^\\w\\s\\']', token[-1]):\n",
" token = token[:-1]\n",
" \n",
" return token"
]
},
{
"cell_type": "code",
"execution_count": 30,
"id": "19e06806",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"doc_id: 23468586 words: (LV) LV | labels: 23468586 History 314 318, Disease_disorder 315 317\n",
"doc_id: 19214295 words: long ong | labels: 19214295 Detailed_description 424 428, History 425 428\n",
"doc_id: 27749582 words: (HBV) HBV | labels: 27749582 History 253 258, Detailed_description 254 257\n"
]
}
],
"source": [
"for file_id in data:\n",
" annotations = data[file_id]['annotations']\n",
" overlapping = False\n",
"\n",
" for i in range(len(annotations)-1):\n",
" if annotations[i]['end'] > annotations[i+1]['start']:\n",
" overlapping = True\n",
" word_1 = data[file_id]['text'][annotations[i]['start']:annotations[i]['end']]\n",
" word_2 = data[file_id]['text'][annotations[i+1]['start']:annotations[i+1]['end']]\n",
"\n",
" if remove_trailing_punctuation(word_1) != remove_trailing_punctuation(word_2):\n",
" print(f\"doc_id: {file_id} words: {word_1} {word_2}\", end=\" | \")\n",
" print(f\"labels: {file_id} {annotations[i]['label']} {annotations[i]['start']} {annotations[i]['end']}, {annotations[i+1]['label']} {annotations[i+1]['start']} {annotations[i+1]['end']}\")"
]
},
{
"cell_type": "markdown",
"id": "d5a58135",
"metadata": {},
"source": [
"Fixing \"doc_id: 19214295 words: long ong | labels: 19214295 Detailed_description 424 428, History 425 428\""
]
},
{
"cell_type": "code",
"execution_count": 31,
"id": "873b1a59",
"metadata": {},
"outputs": [],
"source": [
"for annotation in data['19214295']['annotations']:\n",
" if annotation['start'] == 425:\n",
" annotation['start'] = 424"
]
},
{
"cell_type": "markdown",
"id": "582bdebe",
"metadata": {},
"source": [
"### Saving data dictionary to a json file"
]
},
{
"cell_type": "code",
"execution_count": 33,
"id": "b9ea9dbb",
"metadata": {},
"outputs": [],
"source": [
"def create_json(preprocessed_data_dir, data):\n",
"\n",
" if os.path.exists(preprocessed_data_dir):\n",
" # Delete the contents of the directory\n",
" shutil.rmtree(preprocessed_data_dir)\n",
" # Recreate the directory\n",
" os.makedirs(preprocessed_data_dir)\n",
" \n",
" # Write the dictionary to a JSON file\n",
" with open(os.path.join(preprocessed_data_dir, \"annotated_data.json\"), \"w\") as f:\n",
" json.dump(data, f)"
]
},
{
"cell_type": "code",
"execution_count": 34,
"id": "d8bae181",
"metadata": {},
"outputs": [],
"source": [
"preprocessed_data_dir = \"../data/annotated_json_data\"\n",
"create_json(preprocessed_data_dir, data)"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
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"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
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"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
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