Downloads: 1
[610063]:
/
augnito.ipynb
1050 lines (1049 with data), 466.2 kB
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"id": "0e3f1184",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Defaulting to user installation because normal site-packages is not writeable\n",
"Requirement already satisfied: spacy in /home/user/.local/lib/python3.8/site-packages (3.7.2)\n",
"Requirement already satisfied: numpy>=1.15.0 in /home/user/.local/lib/python3.8/site-packages (from spacy) (1.23.1)\n",
"Requirement already satisfied: typer<0.10.0,>=0.3.0 in /home/user/.local/lib/python3.8/site-packages (from spacy) (0.9.0)\n",
"Requirement already satisfied: smart-open<7.0.0,>=5.2.1 in /home/user/.local/lib/python3.8/site-packages (from spacy) (6.4.0)\n",
"Requirement already satisfied: cymem<2.1.0,>=2.0.2 in /home/user/.local/lib/python3.8/site-packages (from spacy) (2.0.8)\n",
"Requirement already satisfied: srsly<3.0.0,>=2.4.3 in /home/user/.local/lib/python3.8/site-packages (from spacy) (2.4.8)\n",
"Requirement already satisfied: weasel<0.4.0,>=0.1.0 in /home/user/.local/lib/python3.8/site-packages (from spacy) (0.3.4)\n",
"Requirement already satisfied: langcodes<4.0.0,>=3.2.0 in /home/user/.local/lib/python3.8/site-packages (from spacy) (3.3.0)\n",
"Requirement already satisfied: thinc<8.3.0,>=8.1.8 in /home/user/.local/lib/python3.8/site-packages (from spacy) (8.2.2)\n",
"Requirement already satisfied: jinja2 in /home/user/.local/lib/python3.8/site-packages (from spacy) (3.1.2)\n",
"Requirement already satisfied: spacy-loggers<2.0.0,>=1.0.0 in /home/user/.local/lib/python3.8/site-packages (from spacy) (1.0.5)\n",
"Requirement already satisfied: murmurhash<1.1.0,>=0.28.0 in /home/user/.local/lib/python3.8/site-packages (from spacy) (1.0.10)\n",
"Requirement already satisfied: pydantic!=1.8,!=1.8.1,<3.0.0,>=1.7.4 in /home/user/.local/lib/python3.8/site-packages (from spacy) (2.5.3)\n",
"Requirement already satisfied: tqdm<5.0.0,>=4.38.0 in /usr/local/lib/python3.8/dist-packages (from spacy) (4.64.1)\n",
"Requirement already satisfied: packaging>=20.0 in /home/user/.local/lib/python3.8/site-packages (from spacy) (21.3)\n",
"Requirement already satisfied: preshed<3.1.0,>=3.0.2 in /home/user/.local/lib/python3.8/site-packages (from spacy) (3.0.9)\n",
"Requirement already satisfied: setuptools in /home/user/.local/lib/python3.8/site-packages (from spacy) (69.0.2)\n",
"Requirement already satisfied: wasabi<1.2.0,>=0.9.1 in /home/user/.local/lib/python3.8/site-packages (from spacy) (1.1.2)\n",
"Requirement already satisfied: catalogue<2.1.0,>=2.0.6 in /home/user/.local/lib/python3.8/site-packages (from spacy) (2.0.10)\n",
"Requirement already satisfied: requests<3.0.0,>=2.13.0 in /usr/lib/python3/dist-packages (from spacy) (2.22.0)\n",
"Requirement already satisfied: spacy-legacy<3.1.0,>=3.0.11 in /home/user/.local/lib/python3.8/site-packages (from spacy) (3.0.12)\n",
"Requirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in /home/user/.local/lib/python3.8/site-packages (from packaging>=20.0->spacy) (3.0.9)\n",
"Requirement already satisfied: typing-extensions>=4.6.1 in /home/user/.local/lib/python3.8/site-packages (from pydantic!=1.8,!=1.8.1,<3.0.0,>=1.7.4->spacy) (4.9.0)\n",
"Requirement already satisfied: annotated-types>=0.4.0 in /home/user/.local/lib/python3.8/site-packages (from pydantic!=1.8,!=1.8.1,<3.0.0,>=1.7.4->spacy) (0.6.0)\n",
"Requirement already satisfied: pydantic-core==2.14.6 in /home/user/.local/lib/python3.8/site-packages (from pydantic!=1.8,!=1.8.1,<3.0.0,>=1.7.4->spacy) (2.14.6)\n",
"Requirement already satisfied: blis<0.8.0,>=0.7.8 in /home/user/.local/lib/python3.8/site-packages (from thinc<8.3.0,>=8.1.8->spacy) (0.7.11)\n",
"Requirement already satisfied: confection<1.0.0,>=0.0.1 in /home/user/.local/lib/python3.8/site-packages (from thinc<8.3.0,>=8.1.8->spacy) (0.1.4)\n",
"Requirement already satisfied: click<9.0.0,>=7.1.1 in /home/user/.local/lib/python3.8/site-packages (from typer<0.10.0,>=0.3.0->spacy) (8.1.7)\n",
"Requirement already satisfied: cloudpathlib<0.17.0,>=0.7.0 in /home/user/.local/lib/python3.8/site-packages (from weasel<0.4.0,>=0.1.0->spacy) (0.16.0)\n",
"Requirement already satisfied: MarkupSafe>=2.0 in /home/user/.local/lib/python3.8/site-packages (from jinja2->spacy) (2.1.1)\n",
"--- Logging error ---\n",
"Traceback (most recent call last):\n",
" File \"/usr/local/lib/python3.8/dist-packages/pip/_internal/utils/logging.py\", line 177, in emit\n",
" self.console.print(renderable, overflow=\"ignore\", crop=False, style=style)\n",
" File \"/usr/local/lib/python3.8/dist-packages/pip/_vendor/rich/console.py\", line 1673, in print\n",
" extend(render(renderable, render_options))\n",
" File \"/usr/local/lib/python3.8/dist-packages/pip/_vendor/rich/console.py\", line 1305, in render\n",
" for render_output in iter_render:\n",
" File \"/usr/local/lib/python3.8/dist-packages/pip/_internal/utils/logging.py\", line 134, in __rich_console__\n",
" for line in lines:\n",
" File \"/usr/local/lib/python3.8/dist-packages/pip/_vendor/rich/segment.py\", line 249, in split_lines\n",
" for segment in segments:\n",
" File \"/usr/local/lib/python3.8/dist-packages/pip/_vendor/rich/console.py\", line 1283, in render\n",
" renderable = rich_cast(renderable)\n",
" File \"/usr/local/lib/python3.8/dist-packages/pip/_vendor/rich/protocol.py\", line 36, in rich_cast\n",
" renderable = cast_method()\n",
" File \"/usr/local/lib/python3.8/dist-packages/pip/_internal/self_outdated_check.py\", line 130, in __rich__\n",
" pip_cmd = get_best_invocation_for_this_pip()\n",
" File \"/usr/local/lib/python3.8/dist-packages/pip/_internal/utils/entrypoints.py\", line 58, in get_best_invocation_for_this_pip\n",
" if found_executable and os.path.samefile(\n",
" File \"/usr/lib/python3.8/genericpath.py\", line 101, in samefile\n",
" s2 = os.stat(f2)\n",
"FileNotFoundError: [Errno 2] No such file or directory: '/usr/bin/pip3.8'\n",
"Call stack:\n",
" File \"/usr/lib/python3.8/runpy.py\", line 194, in _run_module_as_main\n",
" return _run_code(code, main_globals, None,\n",
" File \"/usr/lib/python3.8/runpy.py\", line 87, in _run_code\n",
" exec(code, run_globals)\n",
" File \"/usr/local/lib/python3.8/dist-packages/pip/__main__.py\", line 31, in <module>\n",
" sys.exit(_main())\n",
" File \"/usr/local/lib/python3.8/dist-packages/pip/_internal/cli/main.py\", line 70, in main\n",
" return command.main(cmd_args)\n",
" File \"/usr/local/lib/python3.8/dist-packages/pip/_internal/cli/base_command.py\", line 101, in main\n",
" return self._main(args)\n",
" File \"/usr/local/lib/python3.8/dist-packages/pip/_internal/cli/base_command.py\", line 223, in _main\n",
" self.handle_pip_version_check(options)\n",
" File \"/usr/local/lib/python3.8/dist-packages/pip/_internal/cli/req_command.py\", line 190, in handle_pip_version_check\n",
" pip_self_version_check(session, options)\n",
" File \"/usr/local/lib/python3.8/dist-packages/pip/_internal/self_outdated_check.py\", line 236, in pip_self_version_check\n",
" logger.warning(\"[present-rich] %s\", upgrade_prompt)\n",
" File \"/usr/lib/python3.8/logging/__init__.py\", line 1458, in warning\n",
" self._log(WARNING, msg, args, **kwargs)\n",
" File \"/usr/lib/python3.8/logging/__init__.py\", line 1589, in _log\n",
" self.handle(record)\n",
" File \"/usr/lib/python3.8/logging/__init__.py\", line 1599, in handle\n",
" self.callHandlers(record)\n",
" File \"/usr/lib/python3.8/logging/__init__.py\", line 1661, in callHandlers\n",
" hdlr.handle(record)\n",
" File \"/usr/lib/python3.8/logging/__init__.py\", line 954, in handle\n",
" self.emit(record)\n",
" File \"/usr/local/lib/python3.8/dist-packages/pip/_internal/utils/logging.py\", line 179, in emit\n",
" self.handleError(record)\n",
"Message: '[present-rich] %s'\n",
"Arguments: (UpgradePrompt(old='22.2.1', new='23.3.2'),)\n",
"Note: you may need to restart the kernel to use updated packages.\n"
]
}
],
"source": [
"pip install spacy"
]
},
{
"cell_type": "code",
"execution_count": 19,
"id": "b6db8d01",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Defaulting to user installation because normal site-packages is not writeable\n",
"Requirement already satisfied: seaborn in /home/user/.local/lib/python3.8/site-packages (0.13.1)\n",
"Requirement already satisfied: numpy!=1.24.0,>=1.20 in /home/user/.local/lib/python3.8/site-packages (from seaborn) (1.23.1)\n",
"Requirement already satisfied: matplotlib!=3.6.1,>=3.4 in /home/user/.local/lib/python3.8/site-packages (from seaborn) (3.5.2)\n",
"Requirement already satisfied: pandas>=1.2 in /home/user/.local/lib/python3.8/site-packages (from seaborn) (1.5.1)\n",
"Requirement already satisfied: packaging>=20.0 in /home/user/.local/lib/python3.8/site-packages (from matplotlib!=3.6.1,>=3.4->seaborn) (21.3)\n",
"Requirement already satisfied: kiwisolver>=1.0.1 in /home/user/.local/lib/python3.8/site-packages (from matplotlib!=3.6.1,>=3.4->seaborn) (1.4.4)\n",
"Requirement already satisfied: cycler>=0.10 in /home/user/.local/lib/python3.8/site-packages (from matplotlib!=3.6.1,>=3.4->seaborn) (0.11.0)\n",
"Requirement already satisfied: pyparsing>=2.2.1 in /home/user/.local/lib/python3.8/site-packages (from matplotlib!=3.6.1,>=3.4->seaborn) (3.0.9)\n",
"Requirement already satisfied: fonttools>=4.22.0 in /home/user/.local/lib/python3.8/site-packages (from matplotlib!=3.6.1,>=3.4->seaborn) (4.34.4)\n",
"Requirement already satisfied: python-dateutil>=2.7 in /home/user/.local/lib/python3.8/site-packages (from matplotlib!=3.6.1,>=3.4->seaborn) (2.8.2)\n",
"Requirement already satisfied: pillow>=6.2.0 in /usr/lib/python3/dist-packages (from matplotlib!=3.6.1,>=3.4->seaborn) (7.0.0)\n",
"Requirement already satisfied: pytz>=2020.1 in /home/user/.local/lib/python3.8/site-packages (from pandas>=1.2->seaborn) (2022.5)\n",
"Requirement already satisfied: six>=1.5 in /usr/lib/python3/dist-packages (from python-dateutil>=2.7->matplotlib!=3.6.1,>=3.4->seaborn) (1.14.0)\n",
"--- Logging error ---\n",
"Traceback (most recent call last):\n",
" File \"/usr/local/lib/python3.8/dist-packages/pip/_internal/utils/logging.py\", line 177, in emit\n",
" self.console.print(renderable, overflow=\"ignore\", crop=False, style=style)\n",
" File \"/usr/local/lib/python3.8/dist-packages/pip/_vendor/rich/console.py\", line 1673, in print\n",
" extend(render(renderable, render_options))\n",
" File \"/usr/local/lib/python3.8/dist-packages/pip/_vendor/rich/console.py\", line 1305, in render\n",
" for render_output in iter_render:\n",
" File \"/usr/local/lib/python3.8/dist-packages/pip/_internal/utils/logging.py\", line 134, in __rich_console__\n",
" for line in lines:\n",
" File \"/usr/local/lib/python3.8/dist-packages/pip/_vendor/rich/segment.py\", line 249, in split_lines\n",
" for segment in segments:\n",
" File \"/usr/local/lib/python3.8/dist-packages/pip/_vendor/rich/console.py\", line 1283, in render\n",
" renderable = rich_cast(renderable)\n",
" File \"/usr/local/lib/python3.8/dist-packages/pip/_vendor/rich/protocol.py\", line 36, in rich_cast\n",
" renderable = cast_method()\n",
" File \"/usr/local/lib/python3.8/dist-packages/pip/_internal/self_outdated_check.py\", line 130, in __rich__\n",
" pip_cmd = get_best_invocation_for_this_pip()\n",
" File \"/usr/local/lib/python3.8/dist-packages/pip/_internal/utils/entrypoints.py\", line 58, in get_best_invocation_for_this_pip\n",
" if found_executable and os.path.samefile(\n",
" File \"/usr/lib/python3.8/genericpath.py\", line 101, in samefile\n",
" s2 = os.stat(f2)\n",
"FileNotFoundError: [Errno 2] No such file or directory: '/usr/bin/pip3.8'\n",
"Call stack:\n",
" File \"/usr/lib/python3.8/runpy.py\", line 194, in _run_module_as_main\n",
" return _run_code(code, main_globals, None,\n",
" File \"/usr/lib/python3.8/runpy.py\", line 87, in _run_code\n",
" exec(code, run_globals)\n",
" File \"/usr/local/lib/python3.8/dist-packages/pip/__main__.py\", line 31, in <module>\n",
" sys.exit(_main())\n",
" File \"/usr/local/lib/python3.8/dist-packages/pip/_internal/cli/main.py\", line 70, in main\n",
" return command.main(cmd_args)\n",
" File \"/usr/local/lib/python3.8/dist-packages/pip/_internal/cli/base_command.py\", line 101, in main\n",
" return self._main(args)\n",
" File \"/usr/local/lib/python3.8/dist-packages/pip/_internal/cli/base_command.py\", line 223, in _main\n",
" self.handle_pip_version_check(options)\n",
" File \"/usr/local/lib/python3.8/dist-packages/pip/_internal/cli/req_command.py\", line 190, in handle_pip_version_check\n",
" pip_self_version_check(session, options)\n",
" File \"/usr/local/lib/python3.8/dist-packages/pip/_internal/self_outdated_check.py\", line 236, in pip_self_version_check\n",
" logger.warning(\"[present-rich] %s\", upgrade_prompt)\n",
" File \"/usr/lib/python3.8/logging/__init__.py\", line 1458, in warning\n",
" self._log(WARNING, msg, args, **kwargs)\n",
" File \"/usr/lib/python3.8/logging/__init__.py\", line 1589, in _log\n",
" self.handle(record)\n",
" File \"/usr/lib/python3.8/logging/__init__.py\", line 1599, in handle\n",
" self.callHandlers(record)\n",
" File \"/usr/lib/python3.8/logging/__init__.py\", line 1661, in callHandlers\n",
" hdlr.handle(record)\n",
" File \"/usr/lib/python3.8/logging/__init__.py\", line 954, in handle\n",
" self.emit(record)\n",
" File \"/usr/local/lib/python3.8/dist-packages/pip/_internal/utils/logging.py\", line 179, in emit\n",
" self.handleError(record)\n",
"Message: '[present-rich] %s'\n",
"Arguments: (UpgradePrompt(old='22.2.1', new='23.3.2'),)\n",
"Note: you may need to restart the kernel to use updated packages.\n"
]
}
],
"source": [
"pip install seaborn"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "b350b4b9",
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": 2,
"id": "b4d4538f",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/user/.local/lib/python3.8/site-packages/torch/cuda/__init__.py:83: UserWarning: CUDA initialization: The NVIDIA driver on your system is too old (found version 10010). Please update your GPU driver by downloading and installing a new version from the URL: http://www.nvidia.com/Download/index.aspx Alternatively, go to: https://pytorch.org to install a PyTorch version that has been compiled with your version of the CUDA driver. (Triggered internally at ../c10/cuda/CUDAFunctions.cpp:109.)\n",
" return torch._C._cuda_getDeviceCount() > 0\n"
]
}
],
"source": [
"import numpy as np\n",
"import pandas as pd\n",
"import matplotlib.pyplot as plt\n",
"import seaborn as sns\n",
"import torch\n",
"from torch.optim import Adam\n",
"from torch.utils.data import Dataset, DataLoader\n",
"\n",
"import pandas as pd\n",
"import numpy as np\n",
"from sklearn.model_selection import train_test_split # Import train_test_split\n",
"from sklearn.feature_extraction.text import TfidfVectorizer\n",
"from sklearn.ensemble import RandomForestClassifier\n",
"from sklearn.metrics import classification_report\n",
"import spacy"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "f043501f",
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": 9,
"id": "f7bec098",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Unnamed: 0</th>\n",
" <th>description</th>\n",
" <th>medical_specialty</th>\n",
" <th>sample_name</th>\n",
" <th>transcription</th>\n",
" <th>keywords</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>0</td>\n",
" <td>A 23-year-old white female presents with comp...</td>\n",
" <td>Allergy / Immunology</td>\n",
" <td>Allergic Rhinitis</td>\n",
" <td>SUBJECTIVE:, This 23-year-old white female pr...</td>\n",
" <td>allergy / immunology, allergic rhinitis, aller...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>1</td>\n",
" <td>Consult for laparoscopic gastric bypass.</td>\n",
" <td>Bariatrics</td>\n",
" <td>Laparoscopic Gastric Bypass Consult - 2</td>\n",
" <td>PAST MEDICAL HISTORY:, He has difficulty climb...</td>\n",
" <td>bariatrics, laparoscopic gastric bypass, weigh...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>2</td>\n",
" <td>Consult for laparoscopic gastric bypass.</td>\n",
" <td>Bariatrics</td>\n",
" <td>Laparoscopic Gastric Bypass Consult - 1</td>\n",
" <td>HISTORY OF PRESENT ILLNESS: , I have seen ABC ...</td>\n",
" <td>bariatrics, laparoscopic gastric bypass, heart...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>3</td>\n",
" <td>2-D M-Mode. Doppler.</td>\n",
" <td>Cardiovascular / Pulmonary</td>\n",
" <td>2-D Echocardiogram - 1</td>\n",
" <td>2-D M-MODE: , ,1. Left atrial enlargement wit...</td>\n",
" <td>cardiovascular / pulmonary, 2-d m-mode, dopple...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>4</td>\n",
" <td>2-D Echocardiogram</td>\n",
" <td>Cardiovascular / Pulmonary</td>\n",
" <td>2-D Echocardiogram - 2</td>\n",
" <td>1. The left ventricular cavity size and wall ...</td>\n",
" <td>cardiovascular / pulmonary, 2-d, doppler, echo...</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Unnamed: 0 description \\\n",
"0 0 A 23-year-old white female presents with comp... \n",
"1 1 Consult for laparoscopic gastric bypass. \n",
"2 2 Consult for laparoscopic gastric bypass. \n",
"3 3 2-D M-Mode. Doppler. \n",
"4 4 2-D Echocardiogram \n",
"\n",
" medical_specialty sample_name \\\n",
"0 Allergy / Immunology Allergic Rhinitis \n",
"1 Bariatrics Laparoscopic Gastric Bypass Consult - 2 \n",
"2 Bariatrics Laparoscopic Gastric Bypass Consult - 1 \n",
"3 Cardiovascular / Pulmonary 2-D Echocardiogram - 1 \n",
"4 Cardiovascular / Pulmonary 2-D Echocardiogram - 2 \n",
"\n",
" transcription \\\n",
"0 SUBJECTIVE:, This 23-year-old white female pr... \n",
"1 PAST MEDICAL HISTORY:, He has difficulty climb... \n",
"2 HISTORY OF PRESENT ILLNESS: , I have seen ABC ... \n",
"3 2-D M-MODE: , ,1. Left atrial enlargement wit... \n",
"4 1. The left ventricular cavity size and wall ... \n",
"\n",
" keywords \n",
"0 allergy / immunology, allergic rhinitis, aller... \n",
"1 bariatrics, laparoscopic gastric bypass, weigh... \n",
"2 bariatrics, laparoscopic gastric bypass, heart... \n",
"3 cardiovascular / pulmonary, 2-d m-mode, dopple... \n",
"4 cardiovascular / pulmonary, 2-d, doppler, echo... "
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df_medical = pd.read_csv(\"mtsamples.csv\")\n",
"df_medical.head()\n",
"# print(\"Dataset Structure:\")\n",
"# print(df_medical.info())"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "366a44ca",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(4999, 6)"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df_medical.shape"
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "e074ff96",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
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"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>transcription</th>\n",
" <th>keywords</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>SUBJECTIVE:, This 23-year-old white female pr...</td>\n",
" <td>allergy / immunology, allergic rhinitis, aller...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>PAST MEDICAL HISTORY:, He has difficulty climb...</td>\n",
" <td>bariatrics, laparoscopic gastric bypass, weigh...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>HISTORY OF PRESENT ILLNESS: , I have seen ABC ...</td>\n",
" <td>bariatrics, laparoscopic gastric bypass, heart...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>2-D M-MODE: , ,1. Left atrial enlargement wit...</td>\n",
" <td>cardiovascular / pulmonary, 2-d m-mode, dopple...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>1. The left ventricular cavity size and wall ...</td>\n",
" <td>cardiovascular / pulmonary, 2-d, doppler, echo...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4994</th>\n",
" <td>HISTORY:, I had the pleasure of meeting and e...</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4995</th>\n",
" <td>ADMITTING DIAGNOSIS: , Kawasaki disease.,DISCH...</td>\n",
" <td>allergy / immunology, mucous membranes, conjun...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4996</th>\n",
" <td>SUBJECTIVE: , This is a 42-year-old white fema...</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4997</th>\n",
" <td>CHIEF COMPLAINT: , This 5-year-old male presen...</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4998</th>\n",
" <td>HISTORY: , A 34-year-old male presents today s...</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>4999 rows × 2 columns</p>\n",
"</div>"
],
"text/plain": [
" transcription \\\n",
"0 SUBJECTIVE:, This 23-year-old white female pr... \n",
"1 PAST MEDICAL HISTORY:, He has difficulty climb... \n",
"2 HISTORY OF PRESENT ILLNESS: , I have seen ABC ... \n",
"3 2-D M-MODE: , ,1. Left atrial enlargement wit... \n",
"4 1. The left ventricular cavity size and wall ... \n",
"... ... \n",
"4994 HISTORY:, I had the pleasure of meeting and e... \n",
"4995 ADMITTING DIAGNOSIS: , Kawasaki disease.,DISCH... \n",
"4996 SUBJECTIVE: , This is a 42-year-old white fema... \n",
"4997 CHIEF COMPLAINT: , This 5-year-old male presen... \n",
"4998 HISTORY: , A 34-year-old male presents today s... \n",
"\n",
" keywords \n",
"0 allergy / immunology, allergic rhinitis, aller... \n",
"1 bariatrics, laparoscopic gastric bypass, weigh... \n",
"2 bariatrics, laparoscopic gastric bypass, heart... \n",
"3 cardiovascular / pulmonary, 2-d m-mode, dopple... \n",
"4 cardiovascular / pulmonary, 2-d, doppler, echo... \n",
"... ... \n",
"4994 NaN \n",
"4995 allergy / immunology, mucous membranes, conjun... \n",
"4996 NaN \n",
"4997 NaN \n",
"4998 NaN \n",
"\n",
"[4999 rows x 2 columns]"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df_medical = df_medical.loc[:,[\"transcription\", \"keywords\"]]\n",
"df_medical"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "ebb40936",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"transcription 33\n",
"keywords 1068\n",
"dtype: int64"
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df_medical.isnull().sum()"
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "642c8567",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(3898, 2)"
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df_medical = df_medical[~(df_medical['transcription'].isnull()) & \n",
" ~(df_medical['keywords'].isnull()) ]\n",
"\n",
"df_medical.shape"
]
},
{
"cell_type": "code",
"execution_count": 14,
"id": "368ecaf5",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/tmp/ipykernel_4778/3926128181.py:2: UserWarning: \n",
"\n",
"`distplot` is a deprecated function and will be removed in seaborn v0.14.0.\n",
"\n",
"Please adapt your code to use either `displot` (a figure-level function with\n",
"similar flexibility) or `histplot` (an axes-level function for histograms).\n",
"\n",
"For a guide to updating your code to use the new functions, please see\n",
"https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751\n",
"\n",
" sns.distplot(transcription)\n"
]
},
{
"data": {
"text/plain": [
"<AxesSubplot:xlabel='transcription', ylabel='Density'>"
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"transcription = df_medical['transcription'].apply(lambda x: len(x.split()))\n",
"sns.distplot(transcription)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "996ab945",
"metadata": {},
"outputs": [],
"source": [
"# Text cleaning\n",
"df_medical['cleaned_text'] = df_medical['transcription'].apply(lambda x: ' '.join([word.lower() for word in str(x).split() if word.isalnum()]))\n",
"\n",
"# Handling missing values and duplicates\n",
"df_medical.dropna(subset=['cleaned_text'], inplace=True)\n",
"df_medical.drop_duplicates(subset='cleaned_text', inplace=True)\n"
]
},
{
"cell_type": "code",
"execution_count": 25,
"id": "1738d729",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Classification Report:\n",
" precision recall f1-score support\n",
"\n",
" Autopsy 1.00 1.00 1.00 1\n",
" Cardiovascular / Pulmonary 1.00 0.17 0.29 6\n",
" Consult - History and Phy. 0.50 0.20 0.29 5\n",
" Cosmetic / Plastic Surgery 0.00 0.00 0.00 1\n",
" Dermatology 0.00 0.00 0.00 3\n",
" Discharge Summary 0.00 0.00 0.00 4\n",
" ENT - Otolaryngology 0.00 0.00 0.00 1\n",
" Emergency Room Reports 0.00 0.00 0.00 4\n",
" Gastroenterology 0.00 0.00 0.00 5\n",
" General Medicine 0.38 0.63 0.47 35\n",
" Hematology - Oncology 0.00 0.00 0.00 2\n",
" Hospice - Palliative Care 0.00 0.00 0.00 1\n",
" IME-QME-Work Comp etc. 0.00 0.00 0.00 1\n",
" Lab Medicine - Pathology 0.00 0.00 0.00 2\n",
" Letters 0.00 0.00 0.00 2\n",
" Nephrology 0.00 0.00 0.00 6\n",
" Neurology 0.50 0.18 0.27 11\n",
" Obstetrics / Gynecology 1.00 0.25 0.40 4\n",
" Office Notes 0.78 0.70 0.74 10\n",
" Ophthalmology 0.00 0.00 0.00 2\n",
" Orthopedic 0.00 0.00 0.00 12\n",
" Pain Management 1.00 0.20 0.33 10\n",
" Pediatrics - Neonatal 0.67 0.15 0.25 13\n",
" Physical Medicine - Rehab 0.00 0.00 0.00 2\n",
" Podiatry 0.00 0.00 0.00 1\n",
" Psychiatry / Psychology 1.00 0.45 0.62 11\n",
" Radiology 0.65 0.96 0.77 45\n",
" Rheumatology 0.00 0.00 0.00 1\n",
" SOAP / Chart / Progress Notes 0.38 0.80 0.51 25\n",
" Sleep Medicine 0.00 0.00 0.00 5\n",
" Speech - Language 0.00 0.00 0.00 1\n",
" Surgery 0.82 0.99 0.90 211\n",
" Urology 0.80 0.29 0.42 28\n",
"\n",
" accuracy 0.69 471\n",
" macro avg 0.32 0.21 0.22 471\n",
" weighted avg 0.64 0.69 0.63 471\n",
"\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/user/.local/lib/python3.8/site-packages/sklearn/metrics/_classification.py:1334: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
" _warn_prf(average, modifier, msg_start, len(result))\n",
"/home/user/.local/lib/python3.8/site-packages/sklearn/metrics/_classification.py:1334: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
" _warn_prf(average, modifier, msg_start, len(result))\n",
"/home/user/.local/lib/python3.8/site-packages/sklearn/metrics/_classification.py:1334: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
" _warn_prf(average, modifier, msg_start, len(result))\n"
]
}
],
"source": [
"# Splitting the data into training and validation sets\n",
"X_train, X_val, y_train, y_val = train_test_split(df_medical['cleaned_text'], df_medical['medical_specialty'], test_size=0.2, random_state=42)\n",
"\n",
"# Feature extraction using TF-IDF\n",
"tfidf_vectorizer = TfidfVectorizer(max_features=5000)\n",
"X_train_tfidf = tfidf_vectorizer.fit_transform(X_train)\n",
"X_val_tfidf = tfidf_vectorizer.transform(X_val)\n",
"\n",
"# Train/Fine-tune the model\n",
"clf = RandomForestClassifier()\n",
"clf.fit(X_train_tfidf, y_train)\n",
"\n",
"# Evaluate the model\n",
"y_pred = clf.predict(X_val_tfidf)\n",
"print(\"Classification Report:\")\n",
"print(classification_report(y_val, y_pred))"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "e818f489",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Defaulting to user installation because normal site-packages is not writeable\n",
"Requirement already satisfied: spacy in /home/user/.local/lib/python3.8/site-packages (3.7.2)\n",
"Requirement already satisfied: cymem<2.1.0,>=2.0.2 in /home/user/.local/lib/python3.8/site-packages (from spacy) (2.0.8)\n",
"Requirement already satisfied: thinc<8.3.0,>=8.1.8 in /home/user/.local/lib/python3.8/site-packages (from spacy) (8.2.2)\n",
"Requirement already satisfied: catalogue<2.1.0,>=2.0.6 in /home/user/.local/lib/python3.8/site-packages (from spacy) (2.0.10)\n",
"Requirement already satisfied: setuptools in /home/user/.local/lib/python3.8/site-packages (from spacy) (69.0.2)\n",
"Requirement already satisfied: langcodes<4.0.0,>=3.2.0 in /home/user/.local/lib/python3.8/site-packages (from spacy) (3.3.0)\n",
"Requirement already satisfied: wasabi<1.2.0,>=0.9.1 in /home/user/.local/lib/python3.8/site-packages (from spacy) (1.1.2)\n",
"Requirement already satisfied: requests<3.0.0,>=2.13.0 in /usr/lib/python3/dist-packages (from spacy) (2.22.0)\n",
"Requirement already satisfied: jinja2 in /home/user/.local/lib/python3.8/site-packages (from spacy) (3.1.2)\n",
"Requirement already satisfied: preshed<3.1.0,>=3.0.2 in /home/user/.local/lib/python3.8/site-packages (from spacy) (3.0.9)\n",
"Requirement already satisfied: tqdm<5.0.0,>=4.38.0 in /usr/local/lib/python3.8/dist-packages (from spacy) (4.64.1)\n",
"Requirement already satisfied: spacy-legacy<3.1.0,>=3.0.11 in /home/user/.local/lib/python3.8/site-packages (from spacy) (3.0.12)\n",
"Requirement already satisfied: spacy-loggers<2.0.0,>=1.0.0 in /home/user/.local/lib/python3.8/site-packages (from spacy) (1.0.5)\n",
"Requirement already satisfied: packaging>=20.0 in /home/user/.local/lib/python3.8/site-packages (from spacy) (21.3)\n",
"Requirement already satisfied: smart-open<7.0.0,>=5.2.1 in /home/user/.local/lib/python3.8/site-packages (from spacy) (6.4.0)\n",
"Requirement already satisfied: numpy>=1.15.0 in /home/user/.local/lib/python3.8/site-packages (from spacy) (1.23.1)\n",
"Requirement already satisfied: murmurhash<1.1.0,>=0.28.0 in /home/user/.local/lib/python3.8/site-packages (from spacy) (1.0.10)\n",
"Requirement already satisfied: pydantic!=1.8,!=1.8.1,<3.0.0,>=1.7.4 in /home/user/.local/lib/python3.8/site-packages (from spacy) (2.5.3)\n",
"Requirement already satisfied: weasel<0.4.0,>=0.1.0 in /home/user/.local/lib/python3.8/site-packages (from spacy) (0.3.4)\n",
"Requirement already satisfied: srsly<3.0.0,>=2.4.3 in /home/user/.local/lib/python3.8/site-packages (from spacy) (2.4.8)\n",
"Requirement already satisfied: typer<0.10.0,>=0.3.0 in /home/user/.local/lib/python3.8/site-packages (from spacy) (0.9.0)\n",
"Requirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in /home/user/.local/lib/python3.8/site-packages (from packaging>=20.0->spacy) (3.0.9)\n",
"Requirement already satisfied: pydantic-core==2.14.6 in /home/user/.local/lib/python3.8/site-packages (from pydantic!=1.8,!=1.8.1,<3.0.0,>=1.7.4->spacy) (2.14.6)\n",
"Requirement already satisfied: typing-extensions>=4.6.1 in /home/user/.local/lib/python3.8/site-packages (from pydantic!=1.8,!=1.8.1,<3.0.0,>=1.7.4->spacy) (4.9.0)\n",
"Requirement already satisfied: annotated-types>=0.4.0 in /home/user/.local/lib/python3.8/site-packages (from pydantic!=1.8,!=1.8.1,<3.0.0,>=1.7.4->spacy) (0.6.0)\n",
"Requirement already satisfied: confection<1.0.0,>=0.0.1 in /home/user/.local/lib/python3.8/site-packages (from thinc<8.3.0,>=8.1.8->spacy) (0.1.4)\n",
"Requirement already satisfied: blis<0.8.0,>=0.7.8 in /home/user/.local/lib/python3.8/site-packages (from thinc<8.3.0,>=8.1.8->spacy) (0.7.11)\n",
"Requirement already satisfied: click<9.0.0,>=7.1.1 in /home/user/.local/lib/python3.8/site-packages (from typer<0.10.0,>=0.3.0->spacy) (8.1.7)\n",
"Requirement already satisfied: cloudpathlib<0.17.0,>=0.7.0 in /home/user/.local/lib/python3.8/site-packages (from weasel<0.4.0,>=0.1.0->spacy) (0.16.0)\n",
"Requirement already satisfied: MarkupSafe>=2.0 in /home/user/.local/lib/python3.8/site-packages (from jinja2->spacy) (2.1.1)\n",
"--- Logging error ---\n",
"Traceback (most recent call last):\n",
" File \"/usr/local/lib/python3.8/dist-packages/pip/_internal/utils/logging.py\", line 177, in emit\n",
" self.console.print(renderable, overflow=\"ignore\", crop=False, style=style)\n",
" File \"/usr/local/lib/python3.8/dist-packages/pip/_vendor/rich/console.py\", line 1673, in print\n",
" extend(render(renderable, render_options))\n",
" File \"/usr/local/lib/python3.8/dist-packages/pip/_vendor/rich/console.py\", line 1305, in render\n",
" for render_output in iter_render:\n",
" File \"/usr/local/lib/python3.8/dist-packages/pip/_internal/utils/logging.py\", line 134, in __rich_console__\n",
" for line in lines:\n",
" File \"/usr/local/lib/python3.8/dist-packages/pip/_vendor/rich/segment.py\", line 249, in split_lines\n",
" for segment in segments:\n",
" File \"/usr/local/lib/python3.8/dist-packages/pip/_vendor/rich/console.py\", line 1283, in render\n",
" renderable = rich_cast(renderable)\n",
" File \"/usr/local/lib/python3.8/dist-packages/pip/_vendor/rich/protocol.py\", line 36, in rich_cast\n",
" renderable = cast_method()\n",
" File \"/usr/local/lib/python3.8/dist-packages/pip/_internal/self_outdated_check.py\", line 130, in __rich__\n",
" pip_cmd = get_best_invocation_for_this_pip()\n",
" File \"/usr/local/lib/python3.8/dist-packages/pip/_internal/utils/entrypoints.py\", line 58, in get_best_invocation_for_this_pip\n",
" if found_executable and os.path.samefile(\n",
" File \"/usr/lib/python3.8/genericpath.py\", line 101, in samefile\n",
" s2 = os.stat(f2)\n",
"FileNotFoundError: [Errno 2] No such file or directory: '/usr/bin/pip3.8'\n",
"Call stack:\n",
" File \"/usr/lib/python3.8/runpy.py\", line 194, in _run_module_as_main\n",
" return _run_code(code, main_globals, None,\n",
" File \"/usr/lib/python3.8/runpy.py\", line 87, in _run_code\n",
" exec(code, run_globals)\n",
" File \"/usr/local/lib/python3.8/dist-packages/pip/__main__.py\", line 31, in <module>\n",
" sys.exit(_main())\n",
" File \"/usr/local/lib/python3.8/dist-packages/pip/_internal/cli/main.py\", line 70, in main\n",
" return command.main(cmd_args)\n",
" File \"/usr/local/lib/python3.8/dist-packages/pip/_internal/cli/base_command.py\", line 101, in main\n",
" return self._main(args)\n",
" File \"/usr/local/lib/python3.8/dist-packages/pip/_internal/cli/base_command.py\", line 223, in _main\n",
" self.handle_pip_version_check(options)\n",
" File \"/usr/local/lib/python3.8/dist-packages/pip/_internal/cli/req_command.py\", line 190, in handle_pip_version_check\n",
" pip_self_version_check(session, options)\n",
" File \"/usr/local/lib/python3.8/dist-packages/pip/_internal/self_outdated_check.py\", line 236, in pip_self_version_check\n",
" logger.warning(\"[present-rich] %s\", upgrade_prompt)\n",
" File \"/usr/lib/python3.8/logging/__init__.py\", line 1458, in warning\n",
" self._log(WARNING, msg, args, **kwargs)\n",
" File \"/usr/lib/python3.8/logging/__init__.py\", line 1589, in _log\n",
" self.handle(record)\n",
" File \"/usr/lib/python3.8/logging/__init__.py\", line 1599, in handle\n",
" self.callHandlers(record)\n",
" File \"/usr/lib/python3.8/logging/__init__.py\", line 1661, in callHandlers\n",
" hdlr.handle(record)\n",
" File \"/usr/lib/python3.8/logging/__init__.py\", line 954, in handle\n",
" self.emit(record)\n",
" File \"/usr/local/lib/python3.8/dist-packages/pip/_internal/utils/logging.py\", line 179, in emit\n",
" self.handleError(record)\n",
"Message: '[present-rich] %s'\n",
"Arguments: (UpgradePrompt(old='22.2.1', new='23.3.2'),)\n",
"Note: you may need to restart the kernel to use updated packages.\n"
]
}
],
"source": [
"pip install spacy"
]
},
{
"cell_type": "code",
"execution_count": 34,
"id": "e1b56b58",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Defaulting to user installation because normal site-packages is not writeable\n",
"Requirement already satisfied: nltk in /usr/local/lib/python3.8/dist-packages (3.7)\n",
"Requirement already satisfied: joblib in /usr/local/lib/python3.8/dist-packages (from nltk) (1.1.0)\n",
"Requirement already satisfied: click in /home/user/.local/lib/python3.8/site-packages (from nltk) (8.1.7)\n",
"Requirement already satisfied: regex>=2021.8.3 in /usr/local/lib/python3.8/dist-packages (from nltk) (2022.8.17)\n",
"Requirement already satisfied: tqdm in /usr/local/lib/python3.8/dist-packages (from nltk) (4.64.1)\n",
"--- Logging error ---\n",
"Traceback (most recent call last):\n",
" File \"/usr/local/lib/python3.8/dist-packages/pip/_internal/utils/logging.py\", line 177, in emit\n",
" self.console.print(renderable, overflow=\"ignore\", crop=False, style=style)\n",
" File \"/usr/local/lib/python3.8/dist-packages/pip/_vendor/rich/console.py\", line 1673, in print\n",
" extend(render(renderable, render_options))\n",
" File \"/usr/local/lib/python3.8/dist-packages/pip/_vendor/rich/console.py\", line 1305, in render\n",
" for render_output in iter_render:\n",
" File \"/usr/local/lib/python3.8/dist-packages/pip/_internal/utils/logging.py\", line 134, in __rich_console__\n",
" for line in lines:\n",
" File \"/usr/local/lib/python3.8/dist-packages/pip/_vendor/rich/segment.py\", line 249, in split_lines\n",
" for segment in segments:\n",
" File \"/usr/local/lib/python3.8/dist-packages/pip/_vendor/rich/console.py\", line 1283, in render\n",
" renderable = rich_cast(renderable)\n",
" File \"/usr/local/lib/python3.8/dist-packages/pip/_vendor/rich/protocol.py\", line 36, in rich_cast\n",
" renderable = cast_method()\n",
" File \"/usr/local/lib/python3.8/dist-packages/pip/_internal/self_outdated_check.py\", line 130, in __rich__\n",
" pip_cmd = get_best_invocation_for_this_pip()\n",
" File \"/usr/local/lib/python3.8/dist-packages/pip/_internal/utils/entrypoints.py\", line 58, in get_best_invocation_for_this_pip\n",
" if found_executable and os.path.samefile(\n",
" File \"/usr/lib/python3.8/genericpath.py\", line 101, in samefile\n",
" s2 = os.stat(f2)\n",
"FileNotFoundError: [Errno 2] No such file or directory: '/usr/bin/pip3.8'\n",
"Call stack:\n",
" File \"/usr/lib/python3.8/runpy.py\", line 194, in _run_module_as_main\n",
" return _run_code(code, main_globals, None,\n",
" File \"/usr/lib/python3.8/runpy.py\", line 87, in _run_code\n",
" exec(code, run_globals)\n",
" File \"/usr/local/lib/python3.8/dist-packages/pip/__main__.py\", line 31, in <module>\n",
" sys.exit(_main())\n",
" File \"/usr/local/lib/python3.8/dist-packages/pip/_internal/cli/main.py\", line 70, in main\n",
" return command.main(cmd_args)\n",
" File \"/usr/local/lib/python3.8/dist-packages/pip/_internal/cli/base_command.py\", line 101, in main\n",
" return self._main(args)\n",
" File \"/usr/local/lib/python3.8/dist-packages/pip/_internal/cli/base_command.py\", line 223, in _main\n",
" self.handle_pip_version_check(options)\n",
" File \"/usr/local/lib/python3.8/dist-packages/pip/_internal/cli/req_command.py\", line 190, in handle_pip_version_check\n",
" pip_self_version_check(session, options)\n",
" File \"/usr/local/lib/python3.8/dist-packages/pip/_internal/self_outdated_check.py\", line 236, in pip_self_version_check\n",
" logger.warning(\"[present-rich] %s\", upgrade_prompt)\n",
" File \"/usr/lib/python3.8/logging/__init__.py\", line 1458, in warning\n",
" self._log(WARNING, msg, args, **kwargs)\n",
" File \"/usr/lib/python3.8/logging/__init__.py\", line 1589, in _log\n",
" self.handle(record)\n",
" File \"/usr/lib/python3.8/logging/__init__.py\", line 1599, in handle\n",
" self.callHandlers(record)\n",
" File \"/usr/lib/python3.8/logging/__init__.py\", line 1661, in callHandlers\n",
" hdlr.handle(record)\n",
" File \"/usr/lib/python3.8/logging/__init__.py\", line 954, in handle\n",
" self.emit(record)\n",
" File \"/usr/local/lib/python3.8/dist-packages/pip/_internal/utils/logging.py\", line 179, in emit\n",
" self.handleError(record)\n",
"Message: '[present-rich] %s'\n",
"Arguments: (UpgradePrompt(old='22.2.1', new='23.3.2'),)\n",
"Note: you may need to restart the kernel to use updated packages.\n"
]
}
],
"source": [
"pip install nltk"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "47f4988a",
"metadata": {},
"outputs": [],
"source": [
"# Import necessary libraries\n",
"import pandas as pd\n",
"import numpy as np\n",
"from sklearn.model_selection import train_test_split\n",
"from sklearn.feature_extraction.text import TfidfVectorizer\n",
"from sklearn.ensemble import RandomForestClassifier\n",
"from sklearn.metrics import classification_report\n",
"import nltk\n",
"from nltk.tokenize import word_tokenize\n",
"import matplotlib.pyplot as plt\n",
"import seaborn as sns\n",
"\n",
"# Download the Punkt tokenizer for tokenization using nltk\n",
"nltk.download('punkt', quiet=True)\n",
"\n",
"# Load the medical transcription dataset\n",
"df_medical = pd.read_csv(\"mtsamples.csv\")\n",
"\n",
"# Text cleaning\n",
"df_medical['cleaned_text'] = df_medical['transcription'].apply(lambda x: ' '.join([str(word).lower() for word in str(x).split() if str(word).isalnum()]))\n",
"\n",
"# Handling missing values and duplicates\n",
"df_medical.dropna(subset=['cleaned_text'], inplace=True)\n",
"df_medical.drop_duplicates(subset='cleaned_text', inplace=True)\n",
"\n",
"# Check for non-string values in the 'transcription' column\n",
"non_string_values = df_medical[df_medical['transcription'].apply(lambda x: not isinstance(x, str))]\n",
"\n",
"# If there are non-string values, replace them with an empty string or handle as needed\n",
"df_medical['transcription'] = df_medical['transcription'].apply(lambda x: '' if not isinstance(x, str) else x)\n",
"\n",
"# Splitting the data into training and validation sets\n",
"X_train, X_val, y_train, y_val = train_test_split(df_medical['cleaned_text'], df_medical['medical_specialty'], test_size=0.2, random_state=42)\n",
"\n",
"# Tokenize text using nltk\n",
"def tokenize_text(text):\n",
" return word_tokenize(text)\n",
"\n",
"# Apply tokenization to 'transcription' column\n",
"df_medical['tokens'] = df_medical['transcription'].apply(tokenize_text)\n"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "4a8b8bb8",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 1200x600 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Exploratory Data Analysis (EDA)\n",
"# Visualize the distribution of medical specialties\n",
"plt.figure(figsize=(12, 6))\n",
"sns.countplot(y='medical_specialty', data=df_medical)\n",
"plt.title('Distribution of Medical Specialties')\n",
"plt.xlabel('Count')\n",
"plt.show()\n"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "02289768",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 1200x600 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Visualize the most common words in the dataset\n",
"common_words = pd.Series(' '.join(df_medical['cleaned_text']).split()).value_counts()[:10]\n",
"common_words.plot(kind='bar', figsize=(12, 6))\n",
"plt.title('Top 10 Most Common Words in Transcriptions')\n",
"plt.xlabel('Words')\n",
"plt.ylabel('Frequency')\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 42,
"id": "12d52d36",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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xYubPn8+8efO4cOECTZo0oVWrVly9elVr/4CAAEaMGMG5c+eoUaMGLVu21PScjx8/nsuXL7N3716ioqJYsWIFBQoUAMDPz4+NGzcSHx+vOdaGDRsoVqwYDRo0yPQ1Ee+W8PIlUZcvUb1GTc06AwMDqlevyYXz53RYWeZJJv0gmfSHEnNJJv0gmfSDZNIfSs2VY1QGulv0lP5WLkQ6bdq0CScnJ1xdXTE0NMTHx4e1a9dm6BgFCxYEwNbWFjs7O/Lnzw/AvHnzCAwMxMfHB7VazezZs3F3d2fRokVa+w8aNIi2bdvi7OzMihUrsLKy0tQQHR1NpUqV8PDwwMHBgYYNG9KyZUsAvL29Adi5c6fmWMHBwfTo0QNVGs81xsfH8/jxY63lzU4b8X4PHj4gMTERW1tbrfW2trbcu3dPR1VljWTSD5JJfygxl2TSD5JJP0gm/aHUXCL3kE4XoXjr1q3j888/17z+/PPP+e6773jy5EmWjvv48WNu3bqFp6en1npPT0+ioqK01tWoUUPz7zx58uDh4aFp079/fzZt2oS7uzujRo3ixIkTmrYmJiZaj0SdPXuWixcv0qNHjzTrmjlzJlZWVlrL3Nkzs5RVCCGEEEIIIWQi3YyTThehaJcvX+aXX35h1KhR5MmThzx58lC9enXi4uLYtGmTpp1KpSI5OVlr34SEhA9SY7Nmzfjzzz8ZNmwYt27d4tNPP2XkyJGa7X5+fhw4cIC///6boKAgGjRogL29fZrHGzNmDI8ePdJaAgLHfIgoimFjbYOhoWGqydNiY2M1j37pG8mkHyST/lBiLsmkHySTfpBM+kOpuUTuIZ0uQtHWrl1LnTp1OH/+PBEREZpl+PDhWo8YFSxYkJiYGM3rq1evEhcXp3ltZGQEQGJiomadpaUlRYsWJSwsTOucYWFhuLi4aK375ZdfNP9+9eoVZ86cwdnZWev83bt3Z8OGDSxatIhVq1Zptrm5ueHh4cHq1avZuHEjPXv2fGdmY2NjLC0ttRZjY+N37iO05TUywtnFlfBfTmrWJSUlER5+kgoVK+mwssyTTPpBMukPJeaSTPpBMukHyaQ/lJorx8icLhmWR9cFCJFTEhISWL9+PVOmTKF8+fJa2/z8/FiwYAGXLl3C1dWVBg0asHTpUmrUqEFiYiKBgYHkzZtX075QoUKYmpqyb98+ihcvjomJCVZWVgQEBDBx4kTKlCmDu7s7QUFBREREEBoaqnW+ZcuW4eTkhLOzMwsXLuTBgweazpMJEybwySef4OrqSnx8PLt379bqkEmpd9CgQZiZmdGmTZscumKZExf3jOjoaM3rf/75m99+i8LKyooiRYrqsLKs6drdl/FfBOLqWp7ybhXYsD6E58+f49XGW9elZZpk0g+SSX8oMZdk0g+SST9IJv2h1Fwid5BOF6FYu3btIjY29q2dFM7Ozjg7O7N27VoWLFjA/Pnz8fX1pXbt2hQtWpTFixdz5swZTfs8efKwZMkSpkyZwoQJE6hduzZHjx7F39+fR48eMWLECO7cuYOLiwu7du3CyclJ63yzZs1i1qxZRERE4OjoyK5duzTDFY2MjBgzZgw3b97E1NSU2rVraz36BNCpUyeGDh1Kp06dMDExyYGrlXmXLl6kd89umtfz57yeP6Zl6zZMnT5LV2VlWdNmzXlw/z7Lly7h3r27qMs5s3zlGmz1eJipZNIPkkl/KDGXZNIPkkk/SCb9odRcIndQJf93IgshRLa5efMmpUqV4ty5c7i7u2fpOGXKlOHUqVNUrlw5w/s//zDT03xQejyXlhBCCCGE+MiZ6OnwB9NqATo79/PwuTo7d1bo6a0W4uOQkJBAbGws48aNo3r16pnqcBFCCCGEEEIIoRvS6SJELhYWFkb9+vUpW7YsW7Zs0XU5QgghhBBCiI+ZHk9oqyvS6SJEDnJwcEj1UdQZUa9evSztL4QQQgghhBBCd6TTRYiPgBLnP1FiX5QS75MQQghlSEpS3i9eAwPl/eJNUuIfSICB/JEk9Jh0ugghhBBCCCGEEOL9pAMsw+SBLCGEEEIIIYQQQogcIJ0umTRp0iStjwDu0aMHXl5eOqsnJzg4OLBo0SJdl5FpwcHBWFtb67oMIYQQQgghhFAGlYHuFj2lv5X/R3JyMqtWraJatWqYm5tjbW2Nh4cHixYtIi4uLsfPv3jxYoKDg3P8PEry559/YmpqytOnT1Ntu3nzJiqVSrPY2trSuHFjzp07p4NKRXps2hhKs0YNqFLJjS4+7Ym8cEHXJWXamdOn8B/Yj0b1a+FeXs3hQwd1XVK2UdJ9SiGZ9IMSM4Eyc0km/aCkTN9u/oYO3q2oVf0TalX/hG5dOvLz8Z90XVa2UNJ9Ali7eiVdOrbDs2plGtSpyTD/gdy8cV3XZWULpd2rj93MmTOpUqUKFhYWFCpUCC8vL65cuaLV5sWLFwwcOBBbW1vMzc1p27Ytt2/f1moTHR3NZ599Rr58+ShUqBABAQG8evUqQ7UoptOla9euDB06lNatW3PkyBEiIiIYP348O3fu5Mcff8z0cRMSEtLVzsrKSkZV/EdiYiJJSUlpbt+5cyf169fH3Nw8zTYHDx4kJiaG/fv38/TpU5o1a8bDhw9zoNrcJ71fe7nBvr17mDdnJn0HDGTTd9tRq8vRv28vYmNjdV1apjx/HkdZtZoxYyfqupRspbT7BJJJXygxEygzl2TSD0rLVLhwYQYPHUHo5q2EbtpC1WrVGeY/kGt/XNV1aVmitPsEcPb0KTp26szXGzezYtU6XiW8on8fP55/gP/kzklKvFc5RqXS3ZIBx44dY+DAgfzyyy8cOHCAhIQEGjduzLNnzzRthg0bxvfff893333HsWPHuHXrFt7e3prtiYmJfPbZZ7x8+ZITJ04QEhJCcHAwEyZMyFAtiuh0+fbbbwkNDeWbb77hiy++oEqVKjg4ONC6dWsOHz5M/fr1ATh16hSNGjWiQIECWFlZUbduXc6ePat1LJVKxYoVK2jVqhVmZmZMnz4dgFmzZlG4cGEsLCzo1asXL1680Nrvv48XxcfH4+/vT6FChTAxMaFWrVqcOnUKgKSkJIoXL86KFSu0jnHu3DkMDAz4888/AViwYAFubm6YmZlRokQJBgwYoDUq5M8//6Rly5bY2NhgZmaGq6sre/bs0Wy/dOkSLVq0wNLSEgsLC2rXrs21a9eA1x9FPHToUK3ze3l50aNHjzSv8/vqSXmcZ9euXbi4uGBsbEx0dHSax9u5cyetWrVKczuAra0tdnZ2eHh4MG/ePG7fvk14eDhHjx5FpVJpdcBERESgUqm4efPmW4+V8kjYunXrKFmyJObm5gwYMIDExETmzJmDnZ0dhQoV0tzzFNHR0bRu3Rpzc3MsLS3p0KGDVg9oynHXr1+Pg4MDVlZW+Pj48OTJE02bffv2UatWLaytrbG1taVFixaaewH/G9mzefNm6tati4mJCatWrcLS0pItW7Zo1bNjxw7MzMy0jq9r60OC8G7XAa82bSnj6Mi4iZMxMTFhx7atui4tU2rVrssg/2E0aNhI16VkK6XdJ5BM+kKJmUCZuSSTflBaprr1GlC7Tl3s7R2wdyjFIP9h5MuXjwsXzuu6tCxR2n0CWLZyDa28vCnj6IS6XDkmT5/JvzG3uHz5kq5LyxIl3quP3b59++jRoweurq5UrFiR4OBgoqOjOXPmDACPHj1i7dq1LFiwgAYNGvDJJ58QFBTEiRMn+OWXXwD48ccfuXz5Mhs2bMDd3Z1mzZoxdepUli1bxsuXL9NdiyI6XUJDQ1Gr1bRu3TrVNpVKhZWVFQBPnjyhe/fu/Pzzz/zyyy84OTnRvHnzVG9eJ02aRJs2bYiMjKRnz558++23TJo0iRkzZnD69GmKFCnC8uXL31nTqFGj2Lp1KyEhIZw9exZHR0eaNGnC/fv3MTAwoFOnTmzcuDFVDk9PT+zt7QEwMDBgyZIlXLp0iZCQEA4fPsyoUaM07QcOHEh8fDw//fQTkZGRzJ49WzNq5J9//qFOnToYGxtz+PBhzpw5Q8+ePTM8FOpN76sHIC4ujtmzZ7NmzRouXbpEoUKF3nqshw8f8vPPP7+30+VNpqamABn6Av+va9eusXfvXvbt28c333zD2rVr+eyzz/j77785duwYs2fPZty4cYSHhwOvO8hat27N/fv3OXbsGAcOHOD69et07Ngx1XF37NjB7t272b17N8eOHWPWrFma7c+ePWP48OGcPn2aQ4cOYWBgQJs2bVKNBBo9ejRDhgwhKioKb29vfHx8CAoK0moTFBREu3btsLCwyPR1yE4JL18SdfkS1WvU1KwzMDCgevWaXDgvj4PlFkq8T5JJPygxEygzl2TSD0rM9KbExET27f2B58/jqFDRXdflZJrS71OKp09fv49Keb+ljz6We6UE8fHxPH78WGuJj49P176PHj0CIH/+/ACcOXOGhIQEGjZsqGlTrlw5SpYsycmTJwE4efIkbm5uFC5cWNOmSZMmPH78mEuX0t/RqIiPjL569Spqtfq97Ro0aKD1etWqVVhbW3Ps2DFatGihWd+5c2d8fX01r318fOjVqxe9evUCYNq0aRw8eDDVaJcUz549Y8WKFQQHB9OsWTMAVq9ezYEDB1i7di0BAQF06dKF+fPnEx0dTcmSJUlKSmLTpk2MGzdOc5w3R6I4ODgwbdo0+vXrp+nwiY6Opm3btri5uQFQunRpTftly5ZhZWXFpk2byJs3LwBly5Z97zV6l/fVA68fiVm+fDkVK1Z857H27NlDhQoVKFq0aLrO/fDhQ6ZOnYq5uTlVq1YlKioqUxmSkpJYt24dFhYWuLi4UL9+fa5cucKePXswMDBArVYze/Zsjhw5QrVq1Th06BCRkZHcuHGDEiVKAPD111/j6urKqVOnqFKliua4wcHBmo6Qrl27cujQIc2ombZt22rVsW7dOgoWLMjly5cpX768Zv3QoUO1hrT5+flRs2ZNYmJiKFKkCHfu3GHPnj0cPJj2HCPx8fGpfvgkGxpjbGycqWv2Pg8ePiAxMRFbW1ut9ba2ttxQyDO+SqDE+ySZ9IMSM4Eyc0km/aDETABXf79C98878fJlPKb58jF/0VLKlHHUdVmZptT79KakpCTmzZqBe6XKODpl7X2GLn0M9ypb6XBC25kzZzJ58mStdRMnTmTSpEnv3C8pKYmhQ4fi6empee/177//YmRklGqKkMKFC/Pvv/9q2rzZ4ZKyPWVbeilipEtycnK62t2+fZvevXvj5OSElZUVlpaWPH36NNUjMB4eHlqvo6KiqFatmta6GjVqpHmea9eukZCQgKenp2Zd3rx5tToL3N3dcXZ21ox2OXbsGHfu3KF9+/aafQ4ePMinn35KsWLFsLCwoGvXrsTGxmomBvb392fatGl4enoyceJELrwx2VNERAS1a9fWdLhkh/fVA2BkZESFChXee6z0PFoEULNmTczNzbGxseH8+fNs3rw51Rd+Rjg4OGiNEClcuDAuLi4YGBhorbtz5w7w+t6XKFFC0+EC4OLigrW1tVbHz3+Pm9JBkuLq1at06tSJ0qVLY2lpiYODA8B7v/aqVq2Kq6srISEhAGzYsAF7e3vq1KmTZsaZM2diZWWltcydPfO910YIIYQQQlccSpVi05btfB26mfYdfJgwbjTXrv2h67LEO8ycNoU//rjKrLkLdF2K+EiMGTOGR48eaS1jxox5734DBw7k4sWLbNq06QNUmZoiOl3Kli3Lb7/99t523bt3JyIigsWLF3PixAkiIiKwtbVN9biKmZlZTpWqpUuXLppOl40bN9K0aVNND+vNmzdp0aIFFSpUYOvWrZw5c4Zly5YB/3u8xs/Pj+vXr9O1a1ciIyPx8PDgyy+/BP73KE5aDAwMUnVWvWvi1vTUk3Je1XsmOXr58iX79u1LV6fL5s2bOX/+PA8ePODatWs0b95cUz9od7ilZ+LZ/3ZCqVSqt6571wTA6T3um8do2bIl9+/fZ/Xq1YSHh2seX0rP156fn5/mk7GCgoLw9fV95zV+2w+jgMD3/zDKLBtrGwwNDVNNNBYbG0uBAgVy7LwiY5R4nySTflBiJlBmLsmkH5SYCSBvXiNKlrTHxbU8/kNHULZsOb7Z8LWuy8o0pd6nFLOmT+H4saOsXvc1he3sdF1Olij9XmU7HU6ka2xsjKWlpdbyvtH8gwYNYvfu3Rw5coTixYtr1tvZ2fHy5ctUH9Jy+/Zt7P7/a9rOzi7VpxmlvLbLwNe9IjpdOnfuzO+//87OnTtTbUtOTtY8vxUWFoa/vz/NmzfH1dUVY2Nj7t27997jOzs7a94kp0iZXOdtypQpg5GREWFhYZp1CQkJnDp1ChcXF626L168yJkzZ9iyZQtdunTRbDtz5gxJSUnMnz+f6tWrU7ZsWW7dupXqXCVKlKBfv35s27aNESNGsHr1agAqVKjA8ePH0+yIKFiwIDExMZrXiYmJXLx4Mc1M6a0nPY4ePYqNjc17H0GC1/nKlCmTathXwYIFAbQyREREZKqed3F2duavv/7ir7/+0qy7fPkyDx8+1LqX7xIbG8uVK1cYN24cn376Kc7Ozjx48CDdNXz++ef8+eefLFmyhMuXL9O9e/d3ts/MD6OsyGtkhLOLK+G/nNSsS0pKIjz8JBUqVsqx84qMUeJ9kkz6QYmZQJm5JJN+UGKmt0lOTsrSPH66ptT7lJyczKzpUzh86CAr1wVT7I03sfpKqffqY5ecnMygQYPYvn07hw8fplSpUlrbP/nkE/LmzcuhQ4c0665cuUJ0dLTmqZYaNWoQGRmp9QTDgQMHsLS0TPd7QVDInC4dOnRg+/btdOrUiXHjxtG4cWMKFixIZGQkCxcuZPDgwXh5eeHk5MT69evx8PDg8ePHBAQEvHdECMCQIUPo0aMHHh4eeHp6EhoayqVLl7TmUHmTmZkZ/fv3JyAggPz581OyZEnmzJlDXFycZl4YeP1ISs2aNenVqxeJiYlaIz8cHR1JSEjgyy+/pGXLloSFhfHVV19pnWfo0KE0a9aMsmXL8uDBA44cOYKzszPwukfvyy+/xMfHhzFjxmBlZcUvv/xC1apVUavVNGjQgOHDh/PDDz9QpkwZFixY8M6PYk5PPem1a9euDE2gm1Y9JUqUYNKkSUyfPp3ff/+d+fPnZ+mYb9OwYUPc3Nzo0qULixYt4tWrVwwYMIC6deumehQoLTY2Ntja2rJq1SqKFClCdHQ0o0ePTncNNjY2eHt7ExAQQOPGjbV6aHOLrt19Gf9FIK6u5SnvVoEN60N4/vw5Xm28379zLhQX90zr0a9//vmb336LwsrKiiJF0jcPUW6ktPsEkklfKDETKDOXZNIPSsu0ZNF8PGvVoUiRIjx79oy9e3Zz+tSvLP9qja5LyxKl3Sd4/UjR3j27WbhkGWZmZty7dxcAc3MLTExMdFxd5inxXn3sBg4cyMaNG9m5cycWFhaaOVisrKwwNTXFysqKXr16MXz4cPLnz4+lpSWDBw+mRo0aVK9eHYDGjRvj4uJC165dmTNnDv/++y/jxo1j4MCBGfpPbUV0uqhUKjZu3MiqVatYt24d06dPJ0+ePDg5OdGtWzeaNGkCwNq1a+nTpw+VK1emRIkSzJgxg5EjR773+B07duTatWuMGjWKFy9e0LZtW/r378/+/fvT3GfWrFkkJSXRtWtXnjx5goeHB/v378fGxkarXZcuXRgwYADdunXT6gCqWLEiCxYsYPbs2YwZM4Y6deowc+ZMunXrpmmTmJjIwIED+fvvv7G0tKRp06YsXLgQeD3x0+HDhwkICKBu3boYGhri7u6umWemZ8+enD9/nm7dupEnTx6GDRum+Wjtt0lPPem1a9cu1q1bl+H93pQ3b16++eYb+vfvT4UKFahSpQrTpk3TmhMnO6hUKnbu3MngwYOpU6cOBgYGNG3aVPMYV3oYGBiwadMm/P39KV++PGq1miVLllCvXr10H6NXr15s3LiRnj17ZiJFzmvarDkP7t9n+dIl3Lt3F3U5Z5avXIOtng7JvHTxIr17/u9re/6c13PitGzdhqnTZ6W1W66ntPsEkklfKDETKDOXZNIPSst0//59xo8N5N7du5hbWODkpGb5V2uoXtPz/TvnYkq7TwDfbf4GgN6+2u8BJk+bQSsv/e2gUOK9yjE6nEg3I1asWAGQ6j1XUFAQPXr0AGDhwoUYGBjQtm1b4uPjadKkidaHxBgaGrJ792769+9PjRo1MDMzo3v37kyZMiVDtaiS0zsLrRDZ4OzZszRo0IC7d+9m6yS/Srd+/XqGDRvGrVu3MDIyyvD+LzL/SeG5lhJ/cr1nOiQhhBBCZ5KSlPeL18BAeb94k5T4BxJgoMA/kkz0dPiDaZ1JOjv38590d+6s0NNbLfTVq1ev+PLLL6XDJZ3i4uKIiYlh1qxZ9O3bN1MdLkIIIYQQQgiRLfRkpEtuIldMfFBVq1ala9euui5Db8yZM4dy5cphZ2eXro9DE0IIIYQQQgiRe8jjRUJ8BOTxIv2gwJGzQgghFEIeL9IP8niR/tDbx4vqT9XZuZ8fGa+zc2eFjHQRQgghhBBCCCGEyAF62r8mhPjYKfA/PBQ5ekeJgymV+D+jQgjxPvKzTz+okPskRG4jnS5CCCGEEEIIIYR4P5lIN8PkigkhhBBCCCGEEELkAOl00ROTJk3C3d1dpzXcvHkTlUpFRESETuvQteDgYKytrbN0jHr16jF06NBsqUcIIYQQQgghPgiVSneLnvroO12Sk5NZtWoV1apVw9zcHGtrazw8PFi0aBFxcXG6Li9NPXr0wMvLK1uO9a5OBJVKxY4dOwAoUaIEMTExlC9f/r3H/Ng7aFQqlWaxsrLC09OTw4cP67qsHLVpYyjNGjWgSiU3uvi0J/LCBV2XlGVKy3Tm9Cn8B/ajUf1auJdXc/jQQV2XlCXfbv6GDt6tqFX9E2pV/4RuXTry8/GfdF1WtlDa1x4oMxMoM5dk0g+SST8oLZPS/pZ4k9Lulcg9PvpOl65duzJ06FBat27NkSNHiIiIYPz48ezcuZMff/xR1+XlKoaGhtjZ2ZEnz4edCighIeGDni+7BAUFERMTQ1hYGAUKFKBFixZcv35d12XliH179zBvzkz6DhjIpu+2o1aXo3/fXsTGxuq6tExTYqbnz+Moq1YzZuxEXZeSLQoXLszgoSMI3byV0E1bqFqtOsP8B3Ltj6u6Li1LlPi1p8RMoMxckkk/SCb9oMRMSvtbIoUS75XIPT7qTpdvv/2W0NBQvvnmG7744guqVKmCg4MDrVu35vDhw9SvXx+ApKQkpkyZQvHixTE2Nsbd3Z19+/ZpjpMyqmPbtm3Ur1+ffPnyUbFiRU6ePKlp8+eff9KyZUtsbGwwMzPD1dWVPXv2AG8fabJjxw5UaQyhmjRpEiEhIezcuVMzmuLo0aPZe3He4r+jVx48eECXLl0oWLAgpqamODk5ERQUBECpUqUAqFSpEiqVinr16gHpv5abN2+mbt26mJiYsGrVKiwtLdmyZYtWPTt27MDMzIwnT568td59+/ZRq1YtrK2tsbW1pUWLFly7di3Vud513+D1/SlZsiT58uWjTZs26f7ha21tjZ2dHeXLl2fFihU8f/6cAwcOaLYnJSUxatQo8ufPj52dHZMmTdJs69mzJy1atNA6XkJCAoUKFWLt2rXpOv+HtD4kCO92HfBq05Yyjo6MmzgZExMTdmzbquvSMk2JmWrVrssg/2E0aNhI16Vki7r1GlC7Tl3s7R2wdyjFIP9h5MuXjwsXzuu6tCxR4teeEjOBMnNJJv0gmfSDEjMp7W+JFEq8VzlGZaC7RU/pb+XZIDQ0FLVaTevWrVNtS3ksBGDx4sXMnz+fefPmceHCBZo0aUKrVq24elX7f1PHjh3LyJEjiYiIoGzZsnTq1IlXr14BMHDgQOLj4/npp5+IjIxk9uzZmJubZ6rukSNH0qFDB5o2bUpMTAwxMTHUrFkzU8fKivHjx3P58mX27t1LVFQUK1asoECBAgD8+uuvABw8eJCYmBi2bdsGpP9ajh49miFDhhAVFYW3tzc+Pj6aDp0UQUFBtGvXDgsLi7fW9+zZM4YPH87p06c5dOgQBgYGtGnThqSkJK1277pv4eHh9OrVi0GDBhEREUH9+vWZNm1ahq+VqakpAC9fvtSsCwkJwczMjPDwcObMmcOUKVM0nTJ+fn7s27ePmJgYTfvdu3cTFxdHx44dM3z+nJTw8iVRly9Rvcb/vgYNDAyoXr0mF86f02FlmafETEqXmJjIvr0/8Px5HBUquuu6nExT4teeEjOBMnNJJv0gmfSDEjMpldwrkdM+6o+Mvnr1Kmq1+r3t5s2bR2BgID4+PgDMnj2bI0eOsGjRIpYtW6ZpN3LkSD777DMAJk+ejKurK3/88QflypUjOjqatm3b4ubmBkDp0qUzXbe5uTmmpqbEx8djZ2eX6eO86dGjRxnuBIqOjqZSpUp4eHgA4ODgoNlWsGBBAGxtbbVqTO+1HDp0KN7e3prXfn5+1KxZk5iYGIoUKcKdO3fYs2cPBw+m/Rxp27ZttV6vW7eOggULcvnyZa15ad513xYvXkzTpk0ZNWoUAGXLluXEiRNao3PeJy4ujnHjxmFoaEjdunU16ytUqMDEia+HZjo5ObF06VIOHTpEo0aNqFmzJmq1mvXr12vOHRQURPv27d97n+Lj44mPj9dal2xojLGxcbprzogHDx+QmJiIra2t1npbW1tu3NDPx6mUmEmprv5+he6fd+Lly3hM8+Vj/qKllCnjqOuyMk2JX3tKzATKzCWZ9INk0g9KzKRUcq8ySI8ntNWVj3qkS3Jy8nvbPH78mFu3buHp6am13tPTk6ioKK11FSpU0Py7SJEiANy5cwcAf39/pk2bhqenJxMnTuTCB5iYKTQ0FHNzc81y/PjxNNtaWFgQERGRanmX/v37s2nTJtzd3Rk1ahQnTpx4Z/uMXMuUjpwUVatWxdXVlZCQEAA2bNiAvb09derUSfN8V69epVOnTpQuXRpLS0tNp1B0dLRWu3fdt6ioKKpVq6bVvkaNGu/MmaJTp06Ym5tjYWHB1q1bWbt2rda53vx3yrlTzguvO5pSRvfcvn2bvXv30rNnz/eed+bMmVhZWWktc2fPTFfNQugbh1Kl2LRlO1+HbqZ9Bx8mjBvNtWt/6LosIYQQQgghgI+806Vs2bL89ttv2Xa8vHnzav6dMh9LyqMsfn5+XL9+na5duxIZGYmHhwdffvkl8Hr42n87gLJj8thWrVppdaD8tyPjTQYGBjg6OqZa3qVZs2b8+eefDBs2jFu3bvHpp58ycuTILNcNYGZmlmqdn58fwcHBwOtRH76+vmnOewPQsmVL7t+/z+rVqwkPDyc8PBzQfsQH3n3fsmLhwoVERETw77//8u+//9K9e/c0z5ty7jfP261bN65fv87JkyfZsGEDpUqVonbt2u8975gxY3j06JHWEhA4Jst50mJjbYOhoWGquW5iY2M1j5vpGyVmUqq8eY0oWdIeF9fy+A8dQdmy5fhmw9e6LivTlPi1p8RMoMxckkk/SCb9oMRMSiX3KoNkTpcM09/Ks0Hnzp35/fff2blzZ6ptycnJPHr0CEtLS4oWLUpYWJjW9rCwMFxcXDJ0vhIlStCvXz+2bdvGiBEjWL16NfD6UZwnT57w7NkzTdv3jTIxMjIiMTHxnW0sLCy0OlBS5hXJTgULFqR79+5s2LCBRYsWsWrVKk19gFaNWb2Wn3/+OX/++SdLlizh8uXLqTox3hQbG8uVK1cYN24cn376Kc7Ozjx48CDD+ZydnTWdNSl++eWXdO1rZ2eHo6Oj5lGrjLK1tcXLy4ugoCCCg4Px9fVN137GxsZYWlpqLTn1aBFAXiMjnF1cCf/lfxMQJyUlER5+kgoVK+XYeXOSEjN9LJKTk1J1rOoTJX7tKTETKDOXZNIPkkk/KDGTUsm9Ejnto57TpUOHDmzfvp1OnToxbtw4GjduTMGCBYmMjGThwoUMHjwYLy8vAgICmDhxImXKlMHd3Z2goCAiIiIIDQ1N97mGDh1Ks2bNKFu2LA8ePODIkSM4OzsDUK1aNfLly8cXX3yBv78/4eHhmhEdaXFwcGD//v1cuXIFW1tbrKysUo2cyGkTJkzgk08+wdXVlfj4eHbv3q3JVKhQIUxNTdm3bx/FixfHxMQEKyurLF1LGxsbvL29CQgIoHHjxhQvXvydbW1tbVm1ahVFihQhOjqa0aNHZzijv78/np6ezJs3j9atW7N///4MzeeSVX5+frRo0YLExERNJ9PSpUvZvn07hw4d+mB1vE/X7r6M/yIQV9fylHerwIb1ITx//hyvNt7v3zmXUmKmuLhnWo/X/fPP3/z2WxRWVlYUKVJUh5VlzpJF8/GsVYciRYrw7Nkz9u7ZzelTv7L8qzW6Li1LlPi1p8RMoMxckkk/SCb9oMRMSvtbIoUS75XIPT7qTheVSsXGjRtZtWoV69atY/r06eTJkwcnJye6detGkyZNgNdvvB89esSIESO4c+cOLi4u7Nq1Cycnp3SfKzExkYEDB/L3339jaWlJ06ZNWbhwIQD58+dnw4YNBAQEsHr1aj799FMmTZpEnz590jxe7969OXr0KB4eHjx9+pQjR45oPpb5QzEyMmLMmDHcvHkTU1NTateuzaZNmwDIkycPS5YsYcqUKUyYMIHatWtz9OjRLF/LXr16sXHjxvfObWJgYMCmTZvw9/enfPnyqNVqlixZkuFrVL16dVavXs3EiROZMGECDRs2ZNy4cUydOjVDx8mshg0bUqRIEVxdXSla9PUvsnv37ml99HVu0LRZcx7cv8/ypUu4d+8u6nLOLF+5Bls9HpKpxEyXLl6kd89umtfz57ye66dl6zZMnT5LV2Vl2v379xk/NpB7d+9ibmGBk5Oa5V+toXpNz/fvnIsp8WtPiZlAmbkkk36QTPpBiZmU9rdECiXeqxwjE+lmmCo5PbPJCpFLrF+/XjOHTMojTEr29OlTihUrRlBQkNanOWXUi1fZWJTIMUr8aazEXzEGBvLHhhBCiNxJgb92AWW+zzfR0+EPpk3m6ezcz/dnz/yhH5qe3mrxsYmLiyMmJoZZs2bRt29fxXe4JCUlce/ePebPn4+1tTWtWrXSdUlCCCGEEEKIj50eT2irK3LFhF6YM2cO5cqVw87OjjFjcu6TeHKL6OhoChcuzMaNG1m3bh158kj/qBBCCCGEEELoG3m8SIiPgDxepB+U+NNYib9i5PEiIYQQuZUCf+0C8nhRbmLadIHOzv1833CdnTsr9PRWCyGE8ijxDwqVEkMJIYQQQnys5G+7DJPHi4QQQgghhBBCCCFygIx0EUIIIYQQQgghxPvJRLoZJldMCCGEEEIIIYQQIgdIp4uemzRpEu7u7jqt4ejRo6hUKh4+fJhj57h58yYqlYqIiIgcO4cQQgghhBBCCJGdPrpOl+TkZFatWkW1atUwNzfH2toaDw8PFi1aRFxcnK7LeyeVSsWOHTu01o0cOZJDhw5l+diTJ0/m888/f+u2SZMmoVKpUKlU5MmTBwcHB4YNG8bTp0+zfN636dGjB15eXlrrSpQoQUxMDOXLl8/0cbdv30716tWxsrLCwsICV1dXhg4dmrVihcamjaE0a9SAKpXc6OLTnsgLF3RdUpZJJv0gmfSDEjOBMnNJJv0gmfSD0jKdOX0K/4H9aFS/Fu7l1Rw+dFDXJWUbpd2rHKNS6W7RUx9dp0vXrl0ZOnQorVu35siRI0RERDB+/Hh27tzJjz/+qOvyMszc3BxbW9ssH2fnzp20atUqze2urq7ExMRw8+ZNZs+ezapVqxgxYkSWz5tehoaG2NnZkSdP5qYhOnToEB07dqRt27b8+uuvnDlzhunTp5OQkJClul6+fJml/XV17Oy2b+8e5s2ZSd8BA9n03XbU6nL079uL2NhYXZeWaZJJP0gm/aDETKDMXJJJP0gm/aDETM+fx1FWrWbM2Im6LiVbKfFeidzjo+p0+fbbbwkNDeWbb77hiy++oEqVKjg4ONC6dWsOHz5M/fr1AUhKSmLKlCkUL14cY2Nj3N3d2bdvn+Y4L1++ZNCgQRQpUgQTExPs7e2ZOXOmZrtKpWLlypW0aNGCfPny4ezszMmTJ/njjz+oV68eZmZm1KxZk2vXrmnVt3PnTipXroyJiQmlS5dm8uTJvHr1CgAHBwcA2rRpg0ql0rx+2+NF69atw9XVFWNjY4oUKcKgQYPeeV3++usvLl26RNOmTdNskydPHuzs7ChevDgdO3akS5cu7Nq1661tY2Nj6dSpE8WKFSNfvny4ubnxzTffaLXZsmULbm5umJqaYmtrS8OGDXn27BmTJk0iJCSEnTt3akbXHD169K2PF126dIkWLVpgaWmJhYUFtWvXTnVNU3z//fd4enoSEBCAWq2mbNmyeHl5sWzZMk2bt42wGTp0KPXq1dO8rlevHoMGDWLo0KEUKFCAJk2aALBr1y6cnJwwMTGhfv36hISEpHrk6ueff6Z27dqYmppSokQJ/P39efbsmWa7g4MDU6dOpVu3blhaWtKnTx8aNGiQ6v7dvXsXIyOjbBnhlF3WhwTh3a4DXm3aUsbRkXETJ2NiYsKObVt1XVqmSSb9IJn0gxIzgTJzSSb9IJn0gxIz1apdl0H+w2jQsJGuS8lWSrxXOUZloLtFT+lv5ZkQGhqKWq2mdevWqbapVCqsrKwAWLx4MfPnz2fevHlcuHCBJk2a0KpVK65evQrAkiVL2LVrF99++y1XrlwhNDRU0wmSIuXNc0REBOXKlaNz58707duXMWPGcPr0aZKTk7XeTB8/fpxu3boxZMgQLl++zMqVKwkODmb69OkAnDp1CoCgoCBiYmI0r/9rxYoVDBw4kD59+hAZGcmuXbtwdHR853XZtWsX9erVw9LSMn0XEjA1NU1zJMaLFy/45JNP+OGHH7h48SJ9+vSha9eu/PrrrwDExMTQqVMnevbsSVRUFEePHsXb25vk5GRGjhxJhw4daNq0KTExMcTExFCzZs1U5/jnn3+oU6cOxsbGHD58mDNnztCzZ09NJ9V/2dnZcenSJS5evJjujGkJCQnByMiIsLAwvvrqK27cuEG7du3w8vLi/Pnz9O3bl7Fjx2rtc+3aNZo2bUrbtm25cOECmzdv5ueff07VoTJv3jwqVqzIuXPnGD9+PH5+fmzcuJH4+HhNmw0bNlCsWDEaNGiQ5SzZIeHlS6IuX6J6jf/dJwMDA6pXr8mF8+d0WFnmSSb9IJn0gxIzgTJzSSb9IJn0gxIzKZXcK5HTPqqPjL569Spqtfq97ebNm0dgYCA+Pj4AzJ49myNHjrBo0SKWLVtGdHQ0Tk5O1KpVC5VKhb29fapj+Pr60qFDBwACAwOpUaMG48eP14yMGDJkCL6+vpr2kydPZvTo0XTv3h2A0qVLM3XqVEaNGsXEiRMpWLAgANbW1tjZ2aVZ+7Rp0xgxYgRDhgzRrKtSpco78+7cufOtHVFpOXPmDBs3bkzzTX+xYsUYOXKk5vXgwYPZv38/3377LVWrViUmJoZXr17h7e2tuXZubm6a9qampsTHx78z57Jly7CysmLTpk3kzZsXgLJly6bZfvDgwRw/fhw3Nzfs7e2pXr06jRs3pkuXLhgbG6c7O4CTkxNz5szRvB49ejRqtZq5c+cCoFaruXjxoqbDDGDmzJl06dJFM4eMk5MTS5YsoW7duqxYsQITExMAGjRooPXYVrFixRg0aBA7d+7UfD0FBwfTo0cPVGk81xgfH6/VSQOQbGic4Zzp9eDhAxITE1M95mZra8uNG9dz5Jw5TTLpB8mkH5SYCZSZSzLpB8mkH5SYSankXmWQHo840ZWP6oolJye/t83jx4+5desWnp6eWus9PT2JiooCXj+GEhERgVqtxt/f/61zwVSoUEHz78KFCwPaHQuFCxfmxYsXPH78GIDz588zZcoUzM3NNUvv3r2JiYlJ9wS/d+7c4datW3z66afpap+S99ixY++czwUgMjISc3NzTE1NqVq1KjVq1GDp0qVvbZuYmMjUqVNxc3Mjf/78mJubs3//fqKjowGoWLEin376KW5ubrRv357Vq1fz4MGDdNcMEBERQe3atTUdLu9jZmbGDz/8wB9//MG4ceMwNzdnxIgRVK1aNcMTKH/yySdar69cuZKqY6tq1apar8+fP09wcLDW/W3SpAlJSUncuHFD087Dw0NrPxMTE7p27cq6desAOHv2LBcvXqRHjx5p1jdz5kysrKy0lrmzZ6bZXgghhBBCCCFEzvioRrqULVuW3377LcvHqVy5Mjdu3GDv3r0cPHiQDh060LBhQ7Zs2aJp82ZnQMqIhLetS0pKAuDp06dMnjwZb2/vVOdLGQXxPqamphnOsnfvXlxcXChRosQ726nVanbt2kWePHkoWrQoRkZGabadO3cuixcvZtGiRbi5uWFmZsbQoUM1jyMZGhpy4MABTpw4wY8//siXX37J2LFjCQ8Pp1SpUumqOzNZAcqUKUOZMmXw8/Nj7NixlC1bls2bN+Pr64uBgUGqjrm3TbRrZmaW4fM+ffqUvn374u/vn2pbyZIl33lsPz8/3N3d+fvvvwkKCqJBgwZvHV2VYsyYMQwfPlxrXbJhzoxyAbCxtsHQ0DDVRGOxsbEUKFAgx86bkySTfpBM+kGJmUCZuSSTfpBM+kGJmZRK7pXIaR/VSJfOnTvz+++/s3PnzlTbkpOTefToEZaWlhQtWpSwsDCt7WFhYbi4uGheW1pa0rFjR1avXs3mzZvZunUr9+/fz3RtlStX5sqVKzg6OqZaDAxe36a8efOSmJiY5jEsLCxwcHDI0ASr6X20yMjICEdHRxwcHN7Z4QKvr1Xr1q35/PPPqVixIqVLl+b333/XaqNSqfD09GTy5MmcO3cOIyMjtm/frjnXu3LC65FEx48fz9KnDzk4OJAvXz7NZLYFCxYkJiZGq82bE/emRa1Wc/r0aa11/51zp3Llyly+fPmt9/d919PNzQ0PDw9Wr17Nxo0b6dmz5zvbGxsbY2lpqbXk1KNFAHmNjHB2cSX8l5OadUlJSYSHn6RCxUo5dt6cJJn0g2TSD0rMBMrMJZn0g2TSD0rMpFRyrzJIPjI6wz6qkS4dOnRg+/btdOrUiXHjxtG4cWMKFixIZGQkCxcuZPDgwXh5eREQEMDEiRMpU6YM7u7uBAUFERERQWhoKAALFiygSJEiVKpUCQMDA7777jvs7OywtrbOdG0TJkygRYsWlCxZknbt2mFgYMD58+e5ePEi06ZNA9B0qHh6emJsbIyNjU2q40yaNIl+/fpRqFAhmjVrxpMnTwgLC2Pw4MGp2r569Yq9e/dqzb+SHZycnNiyZQsnTpzAxsaGBQsWcPv2bU2nVXh4OIcOHaJx48YUKlSI8PBw7t69i7Ozsybn/v37uXLlCra2tpoJjt80aNAgvvzyS3x8fBgzZgxWVlb88ssvVK1a9a3z9kyaNIm4uDiaN2+Ovb09Dx8+ZMmSJSQkJNCo0evZ1xs0aMDcuXP5+uuvqVGjBhs2bODixYtUqvTuH7Z9+/ZlwYIFBAYG0qtXLyIiIggODgb+N6IpMDCQ6tWrM2jQIPz8/DAzM+Py5cscOHAgzce03uTn58egQYMwMzOjTZs2723/oXXt7sv4LwJxdS1PebcKbFgfwvPnz/Fqk3rklr6QTPpBMukHJWYCZeaSTPpBMukHJWaKi3ummTIA4J9//ua336KwsrKiSJGiOqwsa5R4r0Tu8VF1uqhUKjZu3MiqVatYt24d06dPJ0+ePDg5OdGtWzfNJLf+/v48evSIESNGcOfOHVxcXDQfCQyvR5TMmTOHq1evYmhoSJUqVdizZ49mREpmNGnShN27dzNlyhRmz55N3rx5KVeuHH5+fpo28+fPZ/jw4axevZpixYpx8+bNVMfp3r07L168YOHChYwcOZICBQrQrl27t57z2LFjmJubU7ly5UzX/Tbjxo3j+vXrNGnShHz58tGnTx+8vLx49OgR8HqU0E8//cSiRYt4/Pgx9vb2zJ8/n2bNmgHQu3dvjh49ioeHB0+fPuXIkSOpPh3K1taWw4cPExAQQN26dTE0NMTd3T3VXDwp6taty7Jly+jWrRu3b9/GxsaGSpUq8eOPP2o6aZo0acL48eMZNWoUL168oGfPnnTr1o3IyMh35i1VqhRbtmxhxIgRLF68mBo1ajB27Fj69++vGWFSoUIFjh07xtixY6lduzbJycmUKVOGjh07puuadurUiaFDh9KpU6d0P272ITVt1pwH9++zfOkS7t27i7qcM8tXrsFWj4dkSib9IJn0gxIzgTJzSSb9IJn0gxIzXbp4kd49u2lez5/zet7Alq3bMHX6LF2VlWVKvFc5RibSzTBVcnpmlxWK5O/vz6tXr1i+fLmuS1Gc6dOn89VXX/HXX39ly/Fu3rxJmTJlOHXqVKY6yV68/ZO0hRBCCCGEgij1nZ0eP1mSJhM9Hf5g2nqlzs79fGdfnZ07K/T0VovsUL58eWrUqKHrMhRh+fLlVKlSBVtbW8LCwpg7dy6DBg3K8nETEhKIjY1l3LhxVK9ePdtHJQkhhBBCCCGEyDnS6fIR69Onj65LUIyrV68ybdo07t+/T8mSJRkxYgRjxozJ8nHDwsKoX78+ZcuW1fp0LCGEEEIIIYT44JQ47CiHyeNFQnwE5PEiIYQQQgjlU+o7OyW+z9fbx4u8Vuns3M936OegAT291UIIIYQQQogPRalv5oUQGSQT6WaYXDEhhBBCCCGEEEKIHCAjXYQQQgghhBBCCPF+SnzWK4fJSBchssmkSZNwd3fXdRlCCCGEEEIIIXIJ6XQROeLo0aOoVCpUKhUGBgZYWVlRqVIlRo0aRUxMjK7LeyfpPMmcTRtDadaoAVUqudHFpz2RFy7ouqQsk0z6QTLpByVmAmXmkkz6QWmZzpw+hf/AfjSqXwv38moOHzqo65KyTDLpF6V9T4ncQzpdRI66cuUKt27d4tSpUwQGBnLw4EHKly9PZGRklo6bkJCQTRWK7LBv7x7mzZlJ3wED2fTddtTqcvTv24vY2Fhdl5Zpkkk/SCb9oMRMoMxckkk/KDHT8+dxlFWrGTN2oq5LyTaSSX8o8Xsqp6T8x7ouFn0lnS4iRxUqVAg7OzvKli2Lj48PYWFhFCxYkP79+2u1W7NmDc7OzpiYmFCuXDmWL1+u2Xbz5k1UKhWbN2+mbt26mJiYEBoaSo8ePfDy8mLGjBkULlwYa2trpkyZwqtXrwgICCB//vwUL16coKAgrXMFBgZStmxZ8uXLR+nSpRk/frymEyc4OJjJkydz/vx5zTd3cHAwANHR0bRu3Rpzc3MsLS3p0KEDt2/fTjN7UlISU6ZMoXjx4hgbG+Pu7s6+ffu02pw4cQJ3d3dMTEzw8PBgx44dqFQqIiIiSE5OxtHRkXnz5mntExERgUql4o8//sjw/cgp60OC8G7XAa82bSnj6Mi4iZMxMTFhx7atui4t0ySTfpBM+kGJmUCZuSSTflBiplq16zLIfxgNGjbSdSnZRjLpDyV+T4ncQzpdxAdlampKv379CAsL486dOwCEhoYyYcIEpk+fTlRUFDNmzGD8+PGEhIRo7Tt69GiGDBlCVFQUTZo0AeDw4cPcunWLn376iQULFjBx4kRatGiBjY0N4eHh9OvXj759+/L3339rjmNhYUFwcDCXL19m8eLFrF69moULFwLQsWNHRowYgaurKzExMcTExNCxY0eSkpJo3bo19+/f59ixYxw4cIDr16/TsWPHNLMuXryY+fPnM2/ePC5cuECTJk1o1aoVV69eBeDx48e0bNkSNzc3zp49y9SpUwkMDNTsr1Kp6NmzZ6pOo6CgIOrUqYOjo2MW7kT2SXj5kqjLl6heo6ZmnYGBAdWr1+TC+XM6rCzzJJN+kEz6QYmZQJm5JJN+UGImIXRJvqcyRka6ZJx0uogPrly5csDrESwAEydOZP78+Xh7e1OqVCm8vb0ZNmwYK1eu1Npv6NChmjZFihQBIH/+/CxZsgS1Wk3Pnj1Rq9XExcXxxRdf4OTkxJgxYzAyMuLnn3/WHGfcuHHUrFkTBwcHWrZsyciRI/n222+B151C5ubm5MmTBzs7O+zs7DA1NeXQoUNERkayceNGPvnkE6pVq8bXX3/NsWPHOHXq1Ftzzps3j8DAQHx8fFCr1cyePRt3d3cWLVoEwMaNG1GpVKxevRoXFxeaNWtGQECA1jF69OjBlStX+PXXX4HXj1Vt3LiRnj17pnl94+Pjefz4sdYSHx+fzruTcQ8ePiAxMRFbW1ut9ba2tty7dy/HzpuTJJN+kEz6QYmZQJm5JJN+UGImIXRJvqdETpNOF/HBJScnA697SZ89e8a1a9fo1asX5ubmmmXatGlcu3ZNaz8PD49Ux3J1dcXA4H9fxoULF8bNzU3z2tDQEFtbW82oGoDNmzfj6emJnZ0d5ubmjBs3jujo6HfWHBUVRYkSJShRooRmnYuLC9bW1kRFRaVq//jxY27duoWnp6fWek9PT037K1euUKFCBUxMTDTbq1atqtW+aNGifPbZZ6xbtw6A77//nvj4eNq3b59mrTNnzsTKykprmTt75jvzCSGEEEIIIYTIfnl0XYD4+KR0Ojg4OPD06VMAVq9eTbVq1bTaGRoaar02MzNLday8efNqvVapVG9dl5SUBMDJkyfp0qULkydPpkmTJlhZWbFp0ybmz5+ftVA5yM/Pj65du7Jw4UKCgoLo2LEj+fLlS7P9mDFjGD58uNa6ZEPjHKvPxtoGQ0PDVBONxcbGUqBAgRw7b06STPpBMukHJWYCZeaSTPpBiZmE0CX5nsog/X3KR2dkpIv4oJ4/f86qVauoU6cOBQsWpHDhwhQtWpTr16/j6OiotZQqVSrbz3/ixAns7e0ZO3YsHh4eODk58eeff2q1MTIyIjExUWuds7Mzf/31F3/99Zdm3eXLl3n48CEuLi6pzmNpaUnRokUJCwvTWh8WFqZpr1ariYyM1Hr0522PKjVv3hwzMzNWrFjBvn373vloEYCxsTGWlpZai7FxznW65DUywtnFlfBfTmrWJSUlER5+kgoVK+XYeXOSZNIPkkk/KDETKDOXZNIPSswkhC7J95TIaTLSReSoO3fu8OLFC548ecKZM2eYM2cO9+7dY9u2bZo2kydPxt/fHysrK5o2bUp8fDynT5/mwYMHqUZsZJWTkxPR0dFs2rSJKlWq8MMPP7B9+3atNg4ODty4cYOIiAiKFy+OhYUFDRs2xM3NjS5durBo0SJevXrFgAEDqFu37lsfewIICAhg4sSJlClTBnd3d4KCgoiIiCA0NBSAzp07M3bsWPr06cPo0aOJjo7WfFLRmxNFGRoa0qNHD8aMGYOTkxM1atTI1muSHbp292X8F4G4upanvFsFNqwP4fnz53i18dZ1aZkmmfSDZNIPSswEyswlmfSDEjPFxT3Tetz7n3/+5rfforCysqJIkaI6rCzzJJP+UOL3VE7R5wltdUU6XUSOUqvVqFQqzM3NKV26NI0bN2b48OHY2dlp2vj5+ZEvXz7mzp1LQEAAZmZmuLm5MXTo0Gyvp1WrVgwbNoxBgwYRHx/PZ599xvjx45k0aZKmTdu2bdm2bRv169fn4cOHBAUF0aNHD3bu3MngwYOpU6cOBgYGNG3alC+//DLNc/n7+/Po0SNGjBjBnTt3cHFxYdeuXTg5OQGvR8N8//339O/fH3d3d9zc3JgwYQKdO3fWmucFoFevXsyYMQNfX99svybZoWmz5jy4f5/lS5dw795d1OWcWb5yDbZ6PCRTMukHyaQflJgJlJlLMukHJWa6dPEivXt207yeP+f1fHQtW7dh6vRZuiorSyST/lDi95TIPVTJKbOaCiF0LjQ0FF9fXx49eoSpqalm/fHjx/n000/566+/KFy4cIaP++JVdlYphBBCiI+NvGMQuqTEwRUmejr8waJjiM7O/WRzd52dOyv09FYLoQxff/01pUuXplixYpw/f57AwEA6dOig6XCJj4/n7t27TJo0ifbt22eqw0UIIYQQQgghhG7IRLpC6NC///7L559/jrOzM8OGDaN9+/asWrVKs/2bb77B3t6ehw8fMmfOHB1WKoQQQgghhBAio+TxIiE+AvJ4kRBCCCGyQt4xCF2Sx4tyD0ufr3V27sebur2/US4kI12EEEIIIYQQQgghcoCe9q8JIYTQB0kK/K9RAyX+d5sQQryH/OjTD0r8vQugQr4Acwv5yOiMk5EuQgghhBBCCCGEEDlAOl2EEEIIIYQQQgghcoB0uuipHj164OXllS3HUqlU7NixI1uOJYQQQgghhBBCoVQ6XDLgp59+omXLlhQtWvSt73dVKtVbl7lz52raODg4pNo+a9asjBWCdLrkKkePHtXcTAMDA6ysrKhUqRKjRo0iJiZGq+3ixYsJDg7WTaG5wOrVq6lYsSLm5uZYW1tTqVIlZs6cqeuyPmqbNobSrFEDqlRyo4tPeyIvXNB1SVkmmXK3tatX0qVjOzyrVqZBnZoM8x/IzRvXdV1WtlDSfUqhxEygzFySST9IJv2gtEzyu1foi2fPnlGxYkWWLVv21u0xMTFay7p161CpVLRt21ar3ZQpU7TaDR48OMO1SKdLLnTlyhVu3brFqVOnCAwM5ODBg5QvX57IyEhNGysrK6ytrXVX5Hu8fPkyx469bt06hg4dir+/PxEREYSFhTFq1CiePn2aY+f80JKTk3n1Sn8+53nf3j3MmzOTvgMGsum77ajV5ejftxexsbG6Li3TJFPud/b0KTp26szXGzezYtU6XiW8on8fP57Hxem6tCxR2n0CZWYCZeaSTPpBMukHJWaS370irREiH2LJiGbNmjFt2jTatGnz1u12dnZay86dO6lfvz6lS5fWamdhYaHVzszMLMPXTDpdcqFChQphZ2dH2bJl8fHxISwsjIIFC9K/f39Nm/8+XrRlyxbc3NwwNTXF1taWhg0b8uzZM832devW4erqirGxMUWKFGHQoEFa57x37x5t2rQhX758ODk5sWvXLs22xMREevXqRalSpTA1NUWtVrN48WKt/VPqmT59OkWLFkWtVgNw4sQJ3N3dMTExwcPDgx07dqBSqYiIiNDse/HiRZo1a4a5uTmFCxema9eu3Lt3L83rs2vXLjp06ECvXr1wdHTE1dWVTp06MX36dE2bevXqMXToUK39vLy86NGjh+a1g4MD06ZNo1u3bpibm2Nvb8+uXbu4e/curVu3xtzcnAoVKnD69GnNPsHBwVhbW7N7927UajX58uWjXbt2xMXFERISgoODAzY2Nvj7+5OYmKjZb/369Xh4eGi+aTt37sydO3c021NGOe3du5dPPvkEY2NjNmzYgIGBgdb5ARYtWoS9vT1JSUlpXqMPbX1IEN7tOuDVpi1lHB0ZN3EyJiYm7Ni2VdelZZpkyv2WrVxDKy9vyjg6oS5XjsnTZ/JvzC0uX76k69KyRGn3CZSZCZSZSzLpB8mkH5SYSX73Cl2Kj4/n8ePHWkt8fHyWj3v79m1++OEHevXqlWrbrFmzsLW1pVKlSsydOzdT/zEunS56wNTUlH79+hEWFqb1Rj1FTEwMnTp1omfPnkRFRXH06FG8vb1J/v+PjFuxYgUDBw6kT58+REZGsmvXLhwdHbWOMXnyZDp06MCFCxdo3rw5Xbp04f79+wAkJSVRvHhxvvvuOy5fvsyECRP44osv+Pbbb7WOcejQIa5cucKBAwfYvXs3jx8/pmXLlri5uXH27FmmTp1KYGCg1j4PHz6kQYMGVKpUidOnT7Nv3z5u375Nhw4d0rwednZ2/PLLL/z555+Zup5vWrhwIZ6enpw7d47PPvuMrl270q1bNz7//HPOnj1LmTJl6Natm+ZaAsTFxbFkyRI2bdrEvn37OHr0KG3atGHPnj3s2bOH9evXs3LlSrZs2aLZJyEhgalTp3L+/Hl27NjBzZs3tTqAUowePZpZs2YRFRVFq1ataNiwIUFBQVptgoKC6NGjBwYGuePbN+HlS6IuX6J6jZqadQYGBlSvXpML58/psLLMk0z66enTJ8DrkYD6Son3SYmZQJm5JJN+kEz6QYmZ3kZ+9358dDnSZebMmVhZWWkt2THFREhICBYWFnh7e2ut9/f3Z9OmTRw5coS+ffsyY8YMRo0aleHj58lyheKDKFeuHAA3b96kUKFCWttiYmJ49eoV3t7e2NvbA+Dm5qbZPm3aNEaMGMGQIUM066pUqaJ1jB49etCpUycAZsyYwZIlS/j1119p2rQpefPmZfLkyZq2pUqV4uTJk3z77bdanSNmZmasWbMGIyMjAL766itUKhWrV6/GxMQEFxcX/vnnH3r37q3ZZ+nSpVSqVIkZM2Zo1q1bt44SJUrw+++/U7Zs2VTXYuLEiXh7e+Pg4EDZsmWpUaMGzZs3p127dhnuiGjevDl9+/YFYMKECaxYsYIqVarQvn17AAIDA6lRowa3b9/Gzs4OeN2BsmLFCsqUKQNAu3btWL9+Pbdv38bc3BwXFxfq16/PkSNH6NixIwA9e/bUnLN06dIsWbKEKlWq8PTpU8zNzTXbpkyZQqNGjTSv/fz86NevHwsWLMDY2JizZ88SGRnJzp0708wUHx+fqsc32dAYY2PjDF2b9Hrw8AGJiYnY2tpqrbe1teWGnj7jK5n0T1JSEvNmzcC9UmUcnVL/3NAXSrxPSswEyswlmfSDZNIPSsz0X/K7V3xoY8aMYfjw4VrrsuM9zrp16+jSpQsmJiZa6988V4UKFTAyMqJv377MnDkzQ+fNHf9VLt4rZaTF255lq1ixIp9++ilubm60b9+e1atX8+DBAwDu3LnDrVu3+PTTT995/AoVKmj+bWZmhqWlpdaommXLlvHJJ59QsGBBzM3NWbVqFdHR0VrHcHNz03S4wOu5aSpUqKD1xVu1alWtfc6fP8+RI0cwNzfXLCkdTNeuXXtrrUWKFOHkyZNERkYyZMgQXr16Rffu3WnatGmGH7l5M3fhwoU1Of677s1rkS9fPk2HS0obBwcHrc6TwoULa+1z5swZWrZsScmSJbGwsKBu3boAqa6hh4eH1msvLy8MDQ3Zvn078Prxpvr16+Pg4JBmprf1AM+dLZMMC2WbOW0Kf/xxlVlzF+i6FCGEEOKjIL97xYdmbGyMpaWl1pLVTpfjx49z5coV/Pz83tu2WrVqvHr1ips3b2boHNLpoieioqIA3vpm29DQkAMHDrB3715cXFz48ssvUavV3LhxA1NT03QdP2/evFqvVSqVpgNj06ZNjBw5kl69evHjjz8SERGBr69vqslyMzOp0NOnT2nZsiURERFay9WrV6lTp8479y1fvjwDBgxgw4YNHDhwgAMHDnDs2DHg9ZDANx8JgtcjVN6VO6VD623r3uzMedu1etf1e/bsGU2aNMHS0pLQ0FBOnTql6UR53zU0MjKiW7duBAUF8fLlSzZu3Kg1auZtxowZw6NHj7SWgMAx79wnK2ysbTA0NEw10VhsbCwFChTIsfPmJMmkX2ZNn8LxY0dZve5rCv//iDR9pcT7pMRMoMxckkk/SCb9oMRMb5LfvR8vfZlIN73Wrl3LJ598QsWKFd/bNiIiAgMDg1RPnryPdLrogefPn7Nq1Srq1KlDwYIF39pGpVLh6enJ5MmTOXfuHEZGRmzfvh0LCwscHBw4dOhQps8fFhZGzZo1GTBgAJUqVcLR0THNUShvUqvVREZGaj3qcurUKa02lStX5tKlSzg4OODo6Ki1ZKQTx8XFBUAzeXDBggW1PmY7MTGRixcvpvt42em3334jNjaWWbNmUbt2bcqVK/fWuXnS4ufnx8GDB1m+fLnmMbJ3yYke4HfJa2SEs4sr4b+c1KxLSkoiPPwkFSpWyrHz5iTJpB+Sk5OZNX0Khw8dZOW6YIoVL67rkrJMifdJiZlAmbkkk36QTPpBiZlAfvcK/fH06VPNf+gD3Lhxg4iICK0nDR4/fsx333331lEuJ0+eZNGiRZw/f57r168TGhrKsGHD+Pzzz7GxsclQLTKnSy50584dXrx4wZMnTzhz5gxz5szh3r17bNu27a3tw8PDOXToEI0bN6ZQoUKEh4dz9+5dnJ2dAZg0aRL9+vWjUKFCNGvWjCdPnhAWFpbuzxh3cnLi66+/Zv/+/ZQqVYr169dz6tQpSpUq9c79OnfuzNixY+nTpw+jR48mOjqaefPmAf8bQTJw4EBWr15Np06dGDVqFPnz5+ePP/5g06ZNrFmzBkNDw1TH7d+/P0WLFqVBgwYUL16cmJgYpk2bRsGCBalRowYADRo0YPjw4fzwww+UKVOGBQsW8PDhw3TlzW4lS5bEyMiIL7/8kn79+nHx4kWmTp2a7v2dnZ2pXr06gYGB9OzZM92jlz6krt19Gf9FIK6u5SnvVoEN60N4/vw5Xm3e3UGUm0mm3G/mtCns3bObhUuWYWZmxr17dwEwN7dI9UyuPlHafQJlZgJl5pJM+kEy6QclZpLfvSKnRpxkt9OnT1O/fn3N65T5Wbp3705wcDDw+omO5ORkzdymbzI2NmbTpk1MmjSJ+Ph4SpUqxbBhw1LNKZMe0umSC6nValQqFebm5pQuXZrGjRszfPhwzUSu/2VpaclPP/3EokWLePz4Mfb29syfP59mzZoBr7+wXrx4wcKFCxk5ciQFChSgXbt26a6nb9++nDt3jo4dO6JSqejUqRMDBgxg796979zP0tKS77//nv79++Pu7o6bmxsTJkygc+fOmh/KRYsWJSwsjMDAQBo3bkx8fDz29vY0bdo0zUlxGzZsyLp161ixYoVm2F+NGjU4dOiQZgKsnj17cv78ebp160aePHkYNmyY1jfdh1SwYEGCg4P54osvWLJkCZUrV2bevHm0atUq3cfo1asXJ06ceO+jRbrStFlzHty/z/KlS7h37y7qcs4sX7kGWz0ekimZcr/vNn8DQG/fblrrJ0+bQSsv/f0jSWn3CZSZCZSZSzLpB8mkH5SYSX73Cn1Rr169VNNN/FefPn3o06fPW7dVrlyZX375JVtqUSW/rxIhslFoaCi+vr48evQoV47YyK2mTp3Kd999x4ULFzK1/4uMf5y8ENkiSYG/Ygz05H94hBBCfHyU+HsXlPm710RPhz/YdvtGZ+eO/Tr1iBR9oKe3WuiLr7/+mtKlS1OsWDHOnz9PYGAgHTp0kA6XdHr69Ck3b95k6dKlTJs2TdflCCGEEEIIIT5myuv/ynEyka7IUf/++y+ff/45zs7ODBs2jPbt27Nq1Spdl6U3Bg0axCeffEK9evVy7aNFQgghhBBCCCHeTh4vEuIjII8XCV1R4jBnJQ5xFkIIoQxK/L0Lyvzdq6+PFxXosUln574X7KOzc2eFnt5qIYQQ+kCJfyQJIYQQuZVKnv0QIteRThchhBBCCCGEEEK8l758ZHRuInO6CCGEEEIIIYQQQuQA6XQRQgghhBBCCCGEyAHS6SJ04ujRo6hUKh4+fKjrUrJNjx498PLy0nUZQgghhBBCCJEjVCqVzhZ9JZ0uH1hKZ8Pbln///ReASZMmoVKp6Nevn9a+ERERqFQqbt68qWmTk1+Uu3fvpm7dulhYWJAvXz6qVKlCcHDwW/MoqfNEZM6mjaE0a9SAKpXc6OLTnsgLF3RdUpZJJv0gmfSDEjOBMnNJJv0gmfSD0jKdOX0K/4H9aFS/Fu7l1Rw+dFDXJWUbpd0rkXtIp4uOXLlyhZiYGK2lUKFCmu0mJiasXbuWq1evvnX/kSNHau1bvHhxpkyZorUuK7788ktat26Np6cn4eHhXLhwAR8fH/r168fIkSOzdOzs8vLlS12XIP7fvr17mDdnJn0HDGTTd9tRq8vRv28vYmNjdV1apkkm/SCZ9IMSM4Eyc0km/SCZ9IMSMz1/HkdZtZoxYyfqupRspcR7lWNUOlz0lHS66EihQoWws7PTWgwM/nc71Go19evXZ+zYsW/d39zcXGtfQ0NDLCwstNZl1l9//cWIESMYOnQoM2bMwMXFBUdHR0aMGMHcuXOZP38+4eHh3Lx5k/r16wNgY2ODSqWiR48eAMTHx+Pv70+hQoUwMTGhVq1anDp1Ks1zxsbG0qlTJ4oVK0a+fPlwc3Pjm2++0WpTr149Bg0axNChQylQoABNmjShZ8+etGjRQqtdQkIChQoVYu3atZr9/P39GTVqFPnz58fOzo5JkyZp7fPbb79Rq1YtTExMcHFx4eDBg6hUKnbs2KFpExkZSYMGDTA1NcXW1pY+ffrw9OnTNDOl5xrs2rULJycnTExMqF+/PiEhIZqRQ8+ePcPS0pItW7Zo7bNjxw7MzMx48uRJmuf+0NaHBOHdrgNebdpSxtGRcRMnY2Jiwo5tW3VdWqZJJv0gmfSDEjOBMnNJJv0gmfSDEjPVql2XQf7DaNCwka5LyVZKvFci95BOl1xs1qxZbN26ldOnT3/Q827ZsoWEhIS3jmjp27cv5ubmfPPNN5QoUYKtW1//IEoZubN48WIARo0axdatWwkJCeHs2bM4OjrSpEkT7t+//9Zzvnjxgk8++YQffviBixcv0qdPH7p27cqvv/6q1S4kJAQjIyPCwsL46quv8PPzY9++fVoje3bv3k1cXBwdO3bU2s/MzIzw8HDmzJnDlClTOHDgAACJiYl4eXmRL18+wsPDWbVqVarOrmfPntGkSRNsbGw4deoU3333HQcPHmTQoEFpXsf3XYMbN27Qrl07vLy8OH/+PH379tU6r5mZGT4+PgQFBWkdNygoiHbt2mFhYZHmuT+khJcvibp8ieo1amrWGRgYUL16TS6cP6fDyjJPMukHyaQflJgJlJlLMukHyaQflJhJqeReiZwmnS46Urx4cczNzTWLq6trqjaVK1emQ4cOBAYGftDafv/9d6ysrChSpEiqbUZGRpQuXZrff/8dQ0ND8ufPD/xv5I6VlRXPnj1jxYoVzJ07l2bNmuHi4sLq1asxNTXVjD75r2LFijFy5Ejc3d0pXbo0gwcPpmnTpnz77bda7ZycnJgzZw5qtRq1Wk3NmjVRq9WsX79e0yYoKIj27dtjbm6uWVehQgUmTpyIk5MT3bp1w8PDg0OHDgFw4MABrl27xtdff03FihWpVasW06dP1zrvxo0befHiBV9//TXly5enQYMGLF26lPXr13P79u1UedJzDVauXIlarWbu3Lmo1Wp8fHw0I4VS+Pn5sX//fk2n0p07d9izZw89e/Z863WE1yNsHj9+rLXEx8en2T6rHjx8QGJiIra2tlrrbW1tuXfvXo6dNydJJv0gmfSDEjOBMnNJJv0gmfSDEjMpldyrjJGJdDNOOl105Pjx40RERGiWPXv2vLXdtGnTOH78OD/++GO2nPfNjp7/TtSbXa5du0ZCQgKenp6adXnz5qVq1apERUW9dZ/ExESmTp2Km5sb+fPnx9zcnP379xMdHa3V7pNPPkm1r5+fn2Y0yO3bt9m7d2+qTokKFSpovS5SpAh37twBXo/SKVGihNYjWVWrVtVqHxUVRcWKFTEzM9Os8/T0JCkpiStXrmTqGly5coUqVapo7fff81atWhVXV1dCQkIA2LBhA/b29tSpUyfVOVPMnDkTKysrrWXu7JlpthdCCCGEEEIIkTPy6LqAj1WpUqWwtrZ+b7syZcrQu3dvRo8eneYokYyIiIjQ/NvS0vKtbcqWLcujR4+4desWRYsW1dr28uVLrl27ppnLJbvMnTuXxYsXs2jRItzc3DAzM2Po0KGpJst9s9MjRbdu3Rg9ejQnT57kxIkTlCpVitq1a2u1yZs3r9ZrlUpFUlJStmbIKX5+fixbtozRo0cTFBSEr6/vO3t6x4wZw/Dhw7XWJRsa51h9NtY2GBoapppoLDY2lgIFCuTYeXOSZNIPkkk/KDETKDOXZNIPkkk/KDGTUsm9yhh9HnGiKzLSRQ9MmDCB33//nU2bNmX5WI6OjprlzU9LelPbtm3Jmzcv8+fPT7Xtq6++4tmzZ3Tq1Al4/bgRvB6pkqJMmTKaeVdSJCQkcOrUKVxcXN56zrCwMFq3bs3nn39OxYoVNY8wpYetrS1eXl4EBQURHByMr69vuvZLoVar+euvv7QeE/rvhLfOzs6cP3+eZ8+eadVsYGCAWq1Odcz0XAO1Wp1qvp63TTb8+eef8+eff7JkyRIuX75M9+7d35nH2NgYS0tLrcXYOOc6XfIaGeHs4kr4Lyc165KSkggPP0mFipVy7Lw5STLpB8mkH5SYCZSZSzLpB8mkH5SYSankXomcJiNddOTOnTu8ePFCa52trW2qERkAhQsXZvjw4cydO/eD1FayZEnmzJnDiBEjMDExoWvXruTNm5edO3fyxRdfMGLECKpVqwaAvb09KpWK3bt307x5c0xNTTE3N6d///4EBASQP39+zfHi4uLo1avXW8/p5OTEli1bOHHiBDY2NixYsIDbt2+n2UnzX35+frRo0YLExMT3dkr8V6NGjShTpgzdu3dnzpw5PHnyhHHjxgH/68nt0qULEydOpHv37kyaNIm7d+8yePBgunbtSuHChVMd08zM7L3XoG/fvixYsIDAwEB69epFREQEwcHBWueF158M5e3tTUBAAI0bN6Z48eIZyvchdO3uy/gvAnF1LU95twpsWB/C8+fP8WrjrevSMk0y6QfJpB+UmAmUmUsy6QfJpB+UmCku7pnW4////PM3v/0W9f/zQRZ9x565mxLvVU6RkS4ZJ50uOvK20REnT56kevXqb20/cuRIVqxYkaqjJqcMHTqU0qVLM2/ePBYvXkxiYiKurq6sWLFCayRJsWLFmDx5MqNHj8bX15du3boRHBzMrFmzSEpKomvXrjx58gQPDw/279+PjY3NW883btw4rl+/TpMmTciXLx99+vTBy8uLR48epavehg0bUqRIEVxdXVM9EvU+hoaG7NixAz8/P6pUqULp0qWZO3cuLVu2xMTEBIB8+fKxf/9+hgwZQpUqVciXLx9t27ZlwYIFaR73fdegVKlSbNmyhREjRrB48WJq1KjB2LFj6d+/f6qRKb169WLjxo3vnEBXl5o2a86D+/dZvnQJ9+7dRV3OmeUr12Crx0MyJZN+kEz6QYmZQJm5JJN+kEz6QYmZLl28SO+e3TSv5895PW9gy9ZtmDp9lq7KyjIl3iuRe6iSk5OTdV2EEFn19OlTihUrRlBQEN7eWe+RDgsLo1atWvzxxx+UKVMmGypMn+nTp/PVV1/x119/aa1fv349w4YN49atW5pHujLixavsqlAIIYQQQuRWSn1np8TBFSZ6OvyhSJ+tOjt3zKq2Ojt3VujprRbitaSkJO7du8f8+fOxtramVatWmTrO9u3bMTc3x8nJiT/++IMhQ4bg6emZ4x0uy5cvp0qVKtja2hIWFsbcuXMZNGiQZntcXBwxMTHMmjWLvn37ZqrDRQghhBBCCCGygzxelHHS6SL0WnR0NKVKlaJ48eIEBweTJ0/mvqSfPHlCYGAg0dHRFChQgIYNG751IuHsdvXqVaZNm8b9+/cpWbIkI0aMYMyYMZrtc+bMYfr06dSpU0drvRBCCCGEEEKI3E8eLxLiIyCPFwkhhBBCKJ9S39kpcXCFvj5eVLTfNp2d+9ZX+jmxsZ7eaiGEEPogSYF//Rko8S8/IXRIgT8mFPkGUQghROYY6LoAIYQQQgghhBBCCCWSkS5CCCGEEEIIIYR4L5lIN+NkpIsQQgghhBBCCCFEDvgoO12OHj2KSqV66/Lvv//qujy90qNHD821y5s3L6VKlWLUqFG8ePFC16W9Vb169TT1mpiYULZsWWbOnElumU865Wvz4cOHui4lwzZtDKVZowZUqeRGF5/2RF64oOuSskwy5W5rV6+kS8d2eFatTIM6NRnmP5CbN67ruqxsoaT7lEKJmUCZuZSU6czpU/gP7Eej+rVwL6/m8KGDui4p2yjpPqWQTLmffE+JtN5Hf4hFX32UnS4prly5QkxMjNZSqFChD1rDy5cvP+j5ckLTpk2JiYnh+vXrLFy4kJUrVzJx4kRdl5Wm3r17ExMTw5UrVxgzZgwTJkzgq6++0nVZJCQk6LqETNu3dw/z5syk74CBbPpuO2p1Ofr37UVsbKyuS8s0yZT7nT19io6dOvP1xs2sWLWOVwmv6N/Hj+dxcbouLUuUdp9AmZlAmbmUlun58zjKqtWMGZt7/y7JDKXdJ5BM+kK+p4TIuI+606VQoULY2dlpLQYGry9Jjx498PLyYsaMGRQuXBhra2umTJnCq1evCAgIIH/+/BQvXpygoCCtY/7111906NABa2tr8ufPT+vWrbl586Zme8pxp0+fTtGiRVGr1QCcOHECd3d3TExM8PDwYMeOHahUKiIiIjT7Xrx4kWbNmmFubk7hwoXp2rUr9+7d02yvV68e/v7+jBo1ivz582NnZ8ekSZO06nv48CF9+/alcOHCmJiYUL58eXbv3s2zZ8+wtLRky5YtWu137NiBmZkZT548SfM6GhsbY2dnR4kSJfDy8qJhw4YcOHBAsz0+Ph5/f38KFSqEiYkJtWrV4tSpU1rHOHbsGFWrVsXY2JgiRYowevRoXr363+cc16tXj8GDBzN06FBsbGwoXLgwq1ev5tmzZ/j6+mJhYYGjoyN79+5Ns84U+fLlw87ODnt7e3x9falQoUKqekeOHEmxYsUwMzOjWrVqHD16VLM9ODgYa2trduzYgZOTEyYmJjRp0oS//vpL6zwrVqygTJkyGBkZoVarWb9+vdZ2lUrFihUraNWqFWZmZvTu3Zv69esDYGNjg0qlokePHgBs2bIFNzc3TE1NsbW1pWHDhjx79uy9WT+U9SFBeLfrgFebtpRxdGTcxMmYmJiwY9tWXZeWaZIp91u2cg2tvLwp4+iEulw5Jk+fyb8xt7h8+ZKuS8sSpd0nUGYmUGYupWWqVbsug/yH0aBhI12Xkq2Udp9AMukL+Z4SIuM+6k6X9zl8+DC3bt3ip59+YsGCBUycOJEWLVpgY2NDeHg4/fr1o2/fvvz999/A65EKTZo0wcLCguPHjxMWFoa5uTlNmzbVGtFy6NAhrly5woEDB9i9ezePHz+mZcuWuLm5cfbsWaZOnUpgYKBWLQ8fPqRBgwZUqlSJ06dPs2/fPm7fvk2HDh202oWEhGBmZkZ4eDhz5sxhypQpmg6FpKQkmjVrRlhYGBs2bODy5cvMmjULQ0NDzMzM8PHxSdWJFBQURLt27bCwsEjXNbt48SInTpzAyMhIs27UqFFs3bqVkJAQzp49i6OjI02aNOH+/fsA/PPPPzRv3pwqVapw/vx5VqxYwdq1a5k2bVqqbAUKFODXX39l8ODB9O/fn/bt21OzZk3Onj1L48aN6dq1K3Hp/F/u5ORkjh8/zm+//aZV76BBgzh58iSbNm3iwoULtG/fnqZNm3L16lVNm7i4OKZPn87XX39NWFgYDx8+xMfHR7N9+/btDBkyhBEjRnDx4kX69u2Lr68vR44c0aph0qRJtGnThsjISCZPnszWra9/sKeMwlq8eDExMTF06tSJnj17EhUVxdGjR/H29s41j0QlvHxJ1OVLVK9RU7POwMCA6tVrcuH8OR1WlnmSST89ffq6c9jKykrHlWSeEu+TEjOBMnMpMZMSKfE+SSahS3KvMkYeL8q4j/rTi4oXL6712t7enkuX/vc/pPnz52fJkiUYGBigVquZM2cOcXFxfPHFFwCMGTOGWbNm8fPPP+Pj48PmzZtJSkpizZo1mi+KoKAgrK2tOXr0KI0bNwbAzMyMNWvWaN7of/XVV6hUKlavXo2JiQkuLi78888/9O7dW1PL0qVLqVSpEjNmzNCsW7duHSVKlOD333+nbNmyAFSoUEHzaI+TkxNLly7l0KFDNGrUiIMHD/Lrr78SFRWlaV+6dGnN8fz8/KhZsyYxMTEUKVKEO3fusGfPHg4efPezmrt378bc3JxXr14RHx+PgYEBS5cuBeDZs2esWLGC4OBgmjVrBsDq1as5cOAAa9euJSAggOXLl1OiRAmWLl2KSqWiXLly3Lp1i8DAQCZMmKAZfVSxYkXGjRunde0LFCiguU4TJkxgxYoVXLhwgerVq6dZ7/Lly1mzZg0vX74kISEBExMT/P39AYiOjiYoKIjo6GiKFi0KwMiRI9m3bx9BQUGa65+QkMDSpUupVq0a8LpDyNnZmV9//ZWqVasyb948evTowYABAwAYPnw4v/zyC/PmzdOMZgHo3Lkzvr6+mtc3btwAXo/Csra2BuDatWu8evUKb29v7O3tAXBzc0szX3x8PPHx8Vrrkg2NMTY2TnOfrHjw8AGJiYnY2tpqrbe1teWGns6vIZn0T1JSEvNmzcC9UmUcncrqupxMU+J9UmImUGYuJWZSIiXeJ8kkdEnulchpH/VIl+PHjxMREaFZ9uzZo7Xd1dVV84YfoHDhwlpvdg0NDbG1teXOnTsAnD9/nj/++AMLCwvMzc0xNzcnf/78vHjxgmvXrmn2c3Nz0xpZceXKFSpUqICJiYlmXdWqVbVqOX/+PEeOHNEc19zcnHLlygFoHbtChQpa+6V0ngBERERQvHhxTYfLf1WtWhVXV1dCQkIA2LBhA/b29tSpUyetSwhA/fr1iYiIIDw8nO7du+Pr60vbtm01tSUkJODp6alpnzdvXqpWrUpUVBQAUVFR1KhRQ6v30tPTk6dPn2pGEf03W8q1f/N+FC5cGECTNy1dunQhIiKCsLAwmjVrxtixY6lZ83XPdmRkJImJiZQtW1brWh87dkzrOufJk4cqVapoXpcrVw5ra2utTG9mTsmUsj2Fh4fHO2uF151Nn376KW5ubrRv357Vq1fz4MGDNNvPnDkTKysrrWXu7JnvPY8Q+mzmtCn88cdVZs1doOtShBBCCCGUS6XDRU991CNdSpUqpRlN8DZ58+bVep3yCT3/XZeUlATA06dP+eSTTwgNDU11rIIFC2r+bWZmluFanz59SsuWLZk9e3aqbUWKFHlnzSn1mZqavvc8fn5+LFu2jNGjRxMUFISvr+97h3KZmZnh6OgIvB59U7FiRdauXUuvXr3ee76MeN/9SKkzJW9arKysNPV+++23ODo6Ur16dRo2bMjTp08xNDTkzJkzGBoaau1nbm6eHTG0pOdrwdDQkAMHDnDixAl+/PFHvvzyS8aOHUt4eDilSpVK1X7MmDEMHz5ca12yYc6McgGwsbbB0NAw1URjsbGxFChQIMfOm5Mkk36ZNX0Kx48dZW3IBgrb2em6nCxR4n1SYiZQZi4lZlIiJd4nySR0Se6VyGkf9UiX7Fa5cmWuXr1KoUKFcHR01FreNceAWq0mMjJS65GQ/040W7lyZS5duoSDg0OqY6e3E6dChQr8/fff/P7772m2+fzzz/nzzz9ZsmQJly9fpnv37uk6dgoDAwO++OILxo0bx/PnzzUTyYaFhWnaJCQkcOrUKVxcXABwdnbm5MmTWnOUhIWFYWFhkeoRsOxmbm7OkCFDGDlyJMnJyVSqVInExETu3LmT6jrbvfFm7tWrV5w+fVrz+sqVKzx8+BBnZ2dNpjczp2RKyZyWlBFQiYmJWutVKhWenp5MnjyZc+fOYWRkxPbt2996DGNjYywtLbWWnHq0CCCvkRHOLq6E/3JSsy4pKYnw8JNUqFgpx86bkySTfkhOTmbW9CkcPnSQleuCKZbDPy8+BCXeJyVmAmXmUmImJVLifZJMQpfkXmWMzOmScR91p8udO3f4999/tZasfGxvly5dKFCgAK1bt+b48ePcuHGDo0eP4u/vr/WYzH917tyZpKQk+vTpQ1RUFPv372fevHnA/0ZvDBw4kPv379OpUydOnTrFtWvX2L9/P76+vqneoKelbt261KlTh7Zt23LgwAFu3LjB3r172bdvn6aNjY0N3t7eBAQE0Lhx40x1erRv3x5DQ0OWLVuGmZkZ/fv3JyAggH379nH58mV69+5NXFycZiTMgAED+Ouvvxg8eDC//fYbO3fuZOLEiQwfPlzr8a6c0rdvX37//Xe2bt1K2bJl6dKlC926dWPbtm3cuHGDX3/9lZkzZ/LDDz9o9smbNy+DBw8mPDycM2fO0KNHD6pXr655LCwgIIDg4GBWrFjB1atXWbBgAdu2bWPkyJHvrMXe3h6VSsXu3bu5e/cuT58+JTw8nBkzZnD69Gmio6PZtm0bd+/e1XTw5AZdu/uybcu37NqxnevXrjFtyiSeP3+OVxtvXZeWaZIp95s5bQo/7P6eGbPnYWZmxr17d7l37y4vXrzQdWlZorT7BMrMBMrMpbRMcXHP+O23KH777fXjvf/88ze//RZFTMwtHVeWNUq7TyCZ9IV8TwmRcR/140UpH9f8ppMnT75zEtZ3yZcvHz/99BOBgYF4e3vz5MkTihUrxqeffoqlpWWa+1laWvL999/Tv39/3N3dcXNzY8KECXTu3Fkzz0vRokUJCwsjMDCQxo0bEx8fj729PU2bNs1Qx8TWrVsZOXIknTp14tmzZzg6OjJr1iytNr169WLjxo307NkzU9chT548DBo0iDlz5tC/f39mzZpFUlISXbt25cmTJ3h4eLB//35sbGwAKFasGHv27CEgIICKFSuSP39+evXqpZk0N6flz5+fbt26MWnSJLy9vQkKCmLatGmMGDGCf/75hwIFClC9enVatGih2SdfvnwEBgbSuXNn/vnnH2rXrs3atWs12728vFi8eDHz5s1jyJAhlCpViqCgIOrVq/fOWooVK8bkyZMZPXo0vr6+dOvWjcDAQH766ScWLVrE48ePsbe3Z/78+ZqJiXODps2a8+D+fZYvXcK9e3dRl3Nm+co12OrxkEzJlPt9t/kbAHr7dtNaP3naDFp56e8fSUq7T6DMTKDMXErLdOniRXr3/N/PiPlzXs9x1rJ1G6ZOn5XWbrme0u4TSCZ9Id9TQmScKjm3fO6s0BIaGoqvry+PHj1K11ws2Wn9+vUMGzaMW7duaU34K14LDg5m6NChPHz4UNelpNuLV7quQHyskhT4K8ZAj4e3CpEbKfDHBPJjQuiKEr+fQJnfUyZ6OvzB3v97nZ37zyUtdXburNDTW608X3/9NaVLl6ZYsWKcP3+ewMBAOnTo8EE7XOLi4oiJiWHWrFn07dtXOlyEEEIIIYQQQogs+KjndMlN/v33Xz7//HOcnZ0ZNmwY7du3Z9WqVR+0hjlz5lCuXDns7OwYM2bMBz23EEIIIYQQQojcTSbSzTh5vEiIj4A8XiR0RR4vEkK8jwJ/TCjyUQihH5T4/QTK/J7S18eLHIbs1tm5by5u8f5GuZCMdBFCCCGEEEIIIYTIAXravyaEEEIIIZRAif+DLfSDEkeFJKPAUIAK+UGRW+jzYz66IiNdhBBCCCGEEEIIIXKAjHQRQgghhBBCCCHE+8lAlwyTkS5CZJObN2+iUqmIiIjQdSlCCCGEEEIIIXIB6XT5CCQnJ7N69Wpq1KiBpaUl5ubmuLq6MmTIEP74449sO4+DgwOLFi3KtuNllXSCfFibNobSrFEDqlRyo4tPeyIvXNB1SVkmmXK3tatX0qVjOzyrVqZBnZoM8x/IzRvXdV1WtlDSfUqhxEygzFySST9IptzvzOlT+A/sR6P6tXAvr+bwoYO6LinL5HevkI+MzjjpdFG45ORkOnfujL+/P82bN+fHH3/k8uXLrF27FhMTE6ZNm/ZB60lMTCQpKemDnjM7JCQk6LqEXG3f3j3MmzOTvgMGsum77ajV5ejftxexsbG6Li3TJFPud/b0KTp26szXGzezYtU6XiW8on8fP57Hxem6tCxR2n0CZWYCZeaSTPpBMumH58/jKKtWM2bsRF2Xkm3kd68QGSedLgq3efNmNm3axObNmxk/fjzVq1enZMmSVK9endmzZxMUFKRpe+rUKRo1akSBAgWwsrKibt26nD17VrM9OTmZSZMmUbJkSYyNjSlatCj+/v4A1KtXjz///JNhw4Zp9UQGBwdjbW3Nrl27cHFxwdjYmOjoaB48eEC3bt2wsbEhX758NGvWjKtXr2rV/vPPP1O7dm1MTU0pUaIE/v7+PHv2TLPdwcGBGTNm0LNnTywsLChZsiSrVq3SbC9VqhQAlSpVQqVSUa9ePc22NWvW4OzsjImJCeXKlWP58uWabSkjZDZv3kzdunUxMTEhNDSUpKQkpkyZQvHixTE2Nsbd3Z19+/a98/ofO3aMqlWrYmxsTJEiRRg9ejSvXr3SbH/y5AldunTBzMyMIkWKsHDhQurVq8fQoUMBmDJlCuXLl091XHd3d8aPH//Oc39I60OC8G7XAa82bSnj6Mi4iZMxMTFhx7atui4t0yRT7rds5RpaeXlTxtEJdblyTJ4+k39jbnH58iVdl5YlSrtPoMxMoMxckkk/SCb9UKt2XQb5D6NBw0a6LiXbyO9eITJOOl0U7ptvvkGtVtOqVau3bn9zmNaTJ0/o3r07P//8M7/88gtOTk40b96cJ0+eALB161YWLlzIypUruXr1Kjt27MDNzQ2Abdu2Ubx4caZMmUJMTAwxMTGa48bFxTF79mzWrFnDpUuXKFSoED169OD06dPs2rWLkydPkpycTPPmzTUjSq5du0bTpk1p27YtFy5cYPPmzfz8888MGjRIq/758+fj4eHBuXPnGDBgAP379+fKlSsA/PrrrwAcPHiQmJgYtm3bBkBoaCgTJkxg+vTpREVFMWPGDMaPH09ISIjWsUePHs2QIUOIioqiSZMmLF68mPnz5zNv3jwuXLhAkyZNaNWqVarOohT//PMPzZs3p0qVKpw/f54VK1awdu1ardFFw4cPJywsjF27dnHgwAGOHz+u1dHVs2dPoqKiOHXqlGbduXPnuHDhAr6+vm8974eW8PIlUZcvUb1GTc06AwMDqlevyYXz53RYWeZJJv309Onrn1VWVlY6riTzlHiflJgJlJlLMukHySRyE/nd+/GRx4syTj69SOF+//131Gq11rqhQ4eyZs0aAKytrfn7778BaNCggVa7VatWYW1tzbFjx2jRogXR0dHY2dnRsGFD8ubNS8mSJalatSoA+fPnx9DQEAsLC+zs7LSOk5CQwPLly6lYsSIAV69eZdeuXYSFhVGz5usfbqGhoZQoUYIdO3bQvn17Zs6cSZcuXTQjPpycnFiyZAl169ZlxYoVmJiYANC8eXMGDBgAQGBgIAsXLuTIkSOo1WoKFiwIgK2trVZNEydOZP78+Xh7ewOvR8RcvnyZlStX0r17d63rlNIGYN68eQQGBuLj4wPA7NmzOXLkCIsWLWLZsmWprv3y5cspUaIES5cuRaVSUa5cOW7dukVgYCATJkzg2bNnhISEsHHjRj799FMAgoKCKFq0qOYYxYsXp0mTJgQFBVGlShVNm7p161K6dOlU5wSIj48nPj5ea12yoTHGxsZvbZ9VDx4+IDExEVtbW631tra23NDTZ3wlk/5JSkpi3qwZuFeqjKNTWV2Xk2lKvE9KzATKzCWZ9INkErmF/O4VIn1kpMtHaOzYsURERDBhwgSePn2qWX/79m169+6Nk5MTVlZWWFpa8vTpU6KjowFo3749z58/p3Tp0vTu3Zvt27drPSqTFiMjIypUqKB5HRUVRZ48eahWrZpmna2tLWq1mqioKADOnz9PcHAw5ubmmqVJkyYkJSVx48YNzX5vHlelUmFnZ8edO3fSrOXZs2dcu3aNXr16aR172rRpXLt2Tauth4eH5t+PHz/m1q1beHp6arXx9PTU1PxfUVFR1KhRQ6tX1tPTk6dPn/L3339z/fp1EhISNB1X8Pp/Cf7bSda7d2+++eYbXrx4wcuXL9m4cSM9e/ZMM+PMmTOxsrLSWubOnplmeyGUYOa0Kfzxx1VmzV2g61KEEEKIj4L87v04qVS6W/SVjHRROCcnJ83jNikKFixIwYIFKVSokNb67t27Exsby+LFi7G3t8fY2JgaNWrw8uVLAEqUKMGVK1c4ePAgBw4cYMCAAcydO5djx46RN2/eNGswNTXN8HCwp0+f0rdvX82cMW8qWbKk5t//Pa9KpXrnRL0pnUyrV6/W6vQBMDQ01HptZmaWoZpzSsuWLTE2Nmb79u0YGRmRkJBAu3bt0mw/ZswYhg8frrUu2TBnRrkA2FjbYGhomGqisdjYWAoUKJBj581Jkkm/zJo+hePHjrI2ZAOF/zPSTt8o8T4pMRMoM5dk0g+SSeQG8rtXiPSTkS4K16lTJ65cucLOnTvf2zYsLEzzKUeurq4YGxtz7949rTampqa0bNmSJUuWcPToUU6ePElkZCTwekRLYmLie8/j7OzMq1evCA8P16yLjY3lypUruLi4AFC5cmUuX76Mo6NjqsXIyChd2VPavVlT4cKFKVq0KNevX0913JSJd9/G0tKSokWLEhYWprU+LCxMU/PbcqbMV/NmewsLC4oXL07p0qXJmzev1nwtjx494vfff9c6Tp48eejevTtBQUEEBQXh4+ODqalpmrUaGxtjaWmpteTUo0UAeY2McHZxJfyXk5p1SUlJhIefpELFSjl23pwkmfRDcnIys6ZP4fChg6xcF0yx4sV1XVKWKfE+KTETKDOXZNIPkknokvzuFSLjZKSLwvn4+LBt2zZ8fHwYM2YMTZo0oXDhwvz5559s3rxZa3SHk5MT69evx8PDg8ePHxMQEKD15j44OJjExESqVatGvnz52LBhA6amptjb2wOvP03op59+wsfHB2Nj4zR7hp2cnGjdujW9e/dm5cqVWFhYMHr0aIoVK0br1q2B1/OzVK9enUGDBuHn54eZmRmXL1/mwIEDLF26NF3ZCxUqhKmpKfv27aN48eKYmJhgZWXF5MmT8ff3x8rKiqZNmxIfH8/p06d58OBBqhEibwoICGDixImUKVMGd3d3goKCiIiIIDQ09K3tBwwYwKJFixg8eDCDBg3iypUrTJw4keHDh2NgYICFhQXdu3cnICCA/PnzU6hQISZOnIiBgUGqkUF+fn44OzsDpOr4yQ26dvdl/BeBuLqWp7xbBTasD+H58+d4tfF+/865lGTK/WZOm8LePbtZuGQZZmZm3Lt3FwBzcwvNvE/6SGn3CZSZCZSZSzLpB8mkH+Linmke0wf455+/+T/27ju+xvv///jjJGQvYiQIQYYIIilqj+AbMYMKmiKIUWJHUTNWjNAYtUlQq2iVGi3aUKm9R6pmo0YRQhNk//7wcz6ODBKJk3P1de/tut16rvl6Xu/jRN7e1/v88Uc0lpaW2NqWyubIgkt+9gpdntBWW6TTReFeffXx8uXLCQ8PZ9asWSQnJ1OmTBmaNm3K3Ln/ewZz5cqV9O3bFw8PD+zs7Jg+fTpBQUHq7VZWVsyYMYPhw4eTmppK1apV2bFjh3rSqcmTJ9OvXz8qVqxIYmKixgiPN4WHhzNkyBBat25NUlISDRs2ZNeuXerHhapVq8aBAwcYO3YsDRo0ID09nYoVK9K5c+d3zl6oUCHmz5/P5MmTmTBhAg0aNCAyMpKAgABMTEyYPXs2I0eOxNTUlKpVq6on7c3K4MGDefLkCSNGjOD+/ftUrlyZ7du34+jomOn+pUuXZteuXYwcORI3NzeKFi1K7969GTdunHqfuXPn0r9/f1q3bo2FhQVffPEFt27dyvBDy9HRkbp16/Lo0aMMj0UVBC28W/L40SMWLZzPw4cPcK7kwqKlK7DW4SGZkqng27xpAwB9enbXWB88dTptfXT3L0lKaydQZiZQZi7JpBskk264eOECfXr972fUnFkv59hr0649U6bN0FZZ70V+9gqRc6r07H4zFkJ8UAkJCZQuXZo5c+bQu3dv9fr09HQcHR0ZMGBAtqNxsvLi7fMdC5Ev0hT4I0ZP/oVHCCEUQYE/okhHgaFQ5s9eIx0d/uD0xR6tXfvPWS20du33oaNNLYQynD59mj/++INatWrx5MkTJk+eDKB+zArgwYMHbNy4kXv37tGzZ09tlSqEEEIIIYQQIoek00UILQsNDeXy5csYGBjw0Ucf8dtvv2nMh1OiRAmKFSvGsmXLKFKkiBYrFUIIIYQQQvyXyZwuOSedLkJokbu7OydPnsx2H3kCUAghhBBCCCF0k3S6CCGEyDeP4pO0XUKeK2aef1/BLvKWzCkkRN5R4B8nklPTtF1Cniukp9DPCIXGEv8N0ukihBBCCCGEEEKIt5K+/5zT03YBQgghhBBCCCGEEEoknS5CCCGEEEIIIYR4Kz09ldaWnDh48CBt2rShVKlSqFQqtm3bprHd398flUqlsbRoofmV1I8ePcLPzw8LCwusrKzo3bs38fHxOb9nOT5CCC2YNGkS1atX13YZNG7cmKFDh6pf29vbExYW9k7HRkREYGVllS91CSGEEEIIIYR4KSEhATc3N77++uss92nRogV3795VLxs2bNDY7ufnx8WLF9m7dy8//vgjBw8epG/fvjmuRTpdFC49PZ3ly5dTp04dLCwsMDMzw9XVlSFDhnD16lVtl5dnbt68iUqlQl9fn9u3b2tsu3v3LoUKFUKlUnHz5s08ve7x48ff+Q9e586d+fPPP/P0+gXJxvXr8G7uSU33qvh16cT5c+e0XdJ7k0wFy/rVKxjQsyutPWvT0bsR478Ywq2/bqi3P33yhAWhIfTwbYN3o5p0bfd/LJwzg/j4f7VYde7ocjtlRWmZVi5fil/nT6hXywPPhnUZNnggN29c13ZZeUJpbQWSSRecPHGcwQP707xJfapXceaX/fu0XdJ7a+vdlJpuLhmWmdMna7u0XPt20wZ8O7Slfu2PqF/7I7r7debQbwe1XVaeUNqfKSVKTEzk6dOnGktiYmKm+3p7ezN16lTat2+f5fkMDQ2xsbFRL0WKFFFvi46OZs+ePaxYsYKPP/6Y+vXrs2DBAjZu3MidO3dyVLd0uihYeno6n376KYMHD6Zly5b8/PPPXLp0iZUrV2JkZMTUqVO1XSJJSXn7zSalS5dmzZo1GutWr15N6dKl8/Q6rxQvXhwTE5N32tfY2JgSJUrkSx3atmf3LkJnhdBvwEA2bv4eZ+dKfN6vN7GxsdouLdckU8Fz7vQJ2nbswsIV3zBr/jJSU1L4Ykh/nj9/BkDsw/vEPrxPv0EjWLnuO74YP4VjR6IInTZRy5XnjK63U2aUmOnUieN07vopa9ZvYvGyVaQkp/B53wCeP3um7dLeixLbSjLphufPn+Hk7MyYsbr1mZ2d1es2s3v/QfWycOlKAJo1b/GWIwuukiVLMmjoCNZt2sq6jVuo9XFthg0eyLWrV7Rd2ntR4p+p/KJSaW8JCQnB0tJSYwkJCcl1lsjISEqUKIGzszOff/65RnsfPnwYKysratSooV7XrFkz9PT0OHr0aI6uI50uCrZp0yY2btzIpk2bGD9+PLVr16Zs2bLUrl2bmTNnEh4errH/ihUrcHFxwcjIiEqVKrFo0SL1tlcjSb777juaNGmCiYkJbm5uHD58WOMchw4dokGDBhgbG2NnZ8fgwYNJSEhQb7e3t2fKlCl0794dCwsL9SiRUaNG4eTkhImJCRUqVGD8+PEkJyfnOHOPHj0y5AoPD6dHjx4Z9r1w4QLe3t6YmZlRsmRJunXrxsOHD9XbExIS6N69O2ZmZtja2jJnzpwM53jz8aK4uDj69etHyZIlMTIyokqVKvz4449AxseLXj0ytXbtWuzt7bG0tKRLly78++///lU+LS2NkJAQypcvj7GxMW5ubmzZsiXH9yW/rV0dTodPfPFp35GKDg6MmxiMkZER277bqu3Sck0yFTwzwpbQonU77Cs4UNHRmS/GT+H+vbtc+eMSAOUrOjJpxlfUbdCYUmXscK/xMb37D+LIoQOkpqRoufp3p+vtlBklZvp66Qra+nSgooMjzpUqETwthHt373Dp0kVtl/ZelNhWkkk31G/QiMDBw/Bs1lzbpeSZIkWLUqxYcfVy6GAkZezK4lGjprZLy7VGjT1p0LAR5crZU86+PIGDh2FiYsK5c2e1Xdp7UeKfKSUaM2YMT5480VjGjBmTq3O1aNGCNWvWsH//fmbOnMmBAwfw9vYmNTUVgHv37mX4B/NChQpRtGhR7t27l6NrSaeLgm3YsAFnZ2fatm2b6XbVa9/3tW7dOiZMmMC0adOIjo5m+vTpjB8/ntWrV2scM3bsWIKCgjhz5gxOTk507dqVlP//y8y1a9do0aIFHTt25Ny5c2zatIlDhw4RGBiocY7Q0FDc3Nw4ffo048ePB8Dc3JyIiAguXbrEvHnzWL58OV999VWOM7dt25bHjx9z6NAh4GUn0OPHj2nTpo3GfnFxcXh6euLu7s6JEyfYs2cP//zzD76+vup9Ro4cyYEDB/jhhx/4+eefiYyM5NSpU1leOy0tDW9vb6Kiovjmm2+4dOkSM2bMQF9fP8tjrl27xrZt2/jxxx/58ccfOXDgADNmzFBvDwkJYc2aNSxZsoSLFy8ybNgwPvvsMw4cOJDje5NfkpOSiL50kdp16qrX6enpUbt2Xc6dPa3FynJPMumGhP8/kZm5hWWW+8TH/4uJqRn6hQp9qLLeixLbSYmZMvPqMTZLy6zfjwWdEttKMomCIjk5id07d9DWp4PG38F1WWpqKnt27+T582dUc6uu7XJyTf5M5cybk89+yMXQ0BALCwuNxdDQMFc5unTpQtu2balatSo+Pj78+OOPHD9+nMjIyLy9YYBu/C1U5Mqff/6Js7OzxrqhQ4eyYsUKAKysrPj7778BmDhxInPmzKFDhw4AlC9fnkuXLrF06VKNUSJBQUG0atUKgODgYFxdXbl69SqVKlUiJCQEPz8/9USzjo6OzJ8/n0aNGrF48WKMjIwA8PT0ZMSIERp1jRs3Tv3/9vb2BAUFsXHjRr744oscZS5cuDCfffYZq1aton79+qxatYrPPvuMwoULa+y3cOFC3N3dmT59unrdqlWrsLOz488//6RUqVKsXLmSb775hqZNmwIvH1MqU6ZMltfet28fx44dIzo6GicnJwAqVKiQbb1paWlERERgbm4OQLdu3di/fz/Tpk0jMTGR6dOns2/fPurUqaM+36FDh1i6dCmNGjXK9JyJiYkZnm1M1zfM9QfS2zyOe0xqairW1tYa662trbmho/MbSKaCLy0tja/DZlGlmjvlKzpmus+TuMd8E76MVu06fuDqck9p7QTKzPSmtLQ0QmdMp7q7Bw6OTtouJ9eU2FaSSRQUkb/sJ/7ff2ndNuv5JXTFlT8v0+OzriQlJWJsYsKcsIVUrOig7bJyTf5MCXj5e1axYsW4evUqTZs2xcbGhvv372vsk5KSwqNHj7CxscnRuWWky3/M2LFjOXPmDBMmTFB/3VVCQgLXrl2jd+/emJmZqZepU6dy7do1jeOrVaum/n9bW1sA9Zvx7NmzREREaJzDy8uLtLQ0btz432SXrz8X98qmTZuoV68eNjY2mJmZMW7cOGJiYnKVsVevXmzevJl79+6xefNmevXqlWGfs2fP8uuvv2rUWqlSJeDl6JNr166RlJTExx9/rD6maNGiGTqxXnfmzBnKlCmj7nB5F/b29uoOF3h5T1/dz6tXr/Ls2TOaN2+uUeeaNWsytMvrMnvWcfbM3D/rKERBNH/2NG5eu8q4qTMz3Z6QEM+XwwdSzr4CPfp8/oGrE/81IVMnc/XqFWbMnqvtUoQQBdT277dSp14Diitgfj/78uXZuOV71qzbRCffLkwYN5pr15TzBR0ie9qc0yU//f3338TGxqp/x61Tpw5xcXGcPHlSvc8vv/xCWlqaxu+I70JGuiiYo6Mjly9f1lhXvHhxihcvrvF82qvOl+XLl2d4A735aMzrI0ZeDY1MS0tTn6dfv34MHjw4Qy1ly5ZV/7+pqanGtsOHD+Pn50dwcDBeXl5YWlqycePGTOdQeRdVq1alUqVKdO3aFRcXF6pUqcKZM2c09omPj6dNmzbMnJnxFzZbW9tcfbOTsbFxjo95cwSOSqXSuJ8AO3fuzDARcHajVsaMGcPw4cM11qXr588oF4AiVkXQ19fPMNFYbGwsxYoVy7fr5ifJVLDND53OkaiDfLUknOIlMv5Lw7OEBEYP/RwTE1MmzwyjUKHCmZylYFJSO72ixEyvmzFtMr8diGTl6m8omcN/+SpolNhWkkkUBHfv3ObY0cPMmjtf26XkicKFDShbthwAlV2rcPHCBTZ8s4ZxE3XzW5nkz5QyxcfHa/xOd+PGDc6cOUPRokUpWrQowcHBdOzYERsbG65du8YXX3yBg4MDXl5eALi4uNCiRQv69OnDkiVLSE5OJjAwkC5dulCqVKkc1SIjXRSsa9euXL58mR9++CHb/UqWLEmpUqW4fv06Dg4OGkv58uXf+XoeHh5cunQpwzkcHBwwMDDI8rjff/+dcuXKMXbsWGrUqIGjoyN//fXXO183M7169SIyMjLTUS6var148SL29vYZajU1NaVixYoULlxYY2bqx48fZ/uVz9WqVePvv//Os6+Frly5MoaGhsTExGSo0c7OLsvj8vJZx3dR2MAAl8quHD3yv0mV09LSOHr0MNXc3PPtuvlJMhVM6enpzA+dzqEDvxC6cAW2pTI+7peQEM8XQ/pRuFBhpoTOxyAf3/v5QQnt9CYlZoKX78cZ0ybzy/59LF0VQelsHj/VFUpsK8kkCoIdP3xPkaJFqdcg80fDdV16elqefyPphyR/ppTpxIkTuLu74+7+sg2HDx+Ou7s7EyZMQF9fn3PnztG2bVucnJzo3bs3H330Eb/99pvG703r1q2jUqVKNG3alJYtW1K/fn2WLVuW41pkpIuCdenShe+++44uXbowZswYvLy8KFmyJH/99RebNm3SGMUSHBzM4MGDsbS0pEWLFiQmJnLixAkeP36cYdREVkaNGkXt2rUJDAwkICAAU1NTLl26xN69e1m4cGGWxzk6OhITE8PGjRupWbMmO3fu5Pvvv3+v7H369KFTp04a3xb0uoEDB7J8+XK6du3KF198QdGiRbl69SobN25kxYoVmJmZ0bt3b0aOHIm1tTUlSpRg7Nix6Oll3U/ZqFEjGjZsSMeOHZk7dy4ODg788ccfqFQqWrTI+VcDmpubExQUxLBhw0hLS6N+/fo8efKEqKgoLCwsMv1GJm3p1qMn478chatrFapUrcY3a1fz/PlzfNp30HZpuSaZCp75s6ex/+fdTJk1DxNTUx7Fvvy2MVNTMwyNjEhIiGfU4H68ePGCLyeF8CwhgWf//9vTLP//v2LpAl1vp8woMVPI1Mns3vUjX83/GlNTUx4+fACAmZm5eg4zXaTEtpJMuuHZswSNR8tv3/6bP/6IxtLSElvbnP2rckGSlpbGjh++o1UbHwrpyKTu2ZkfNod69Rtia2tLQkICu3f9yInjx1i0ZIW2S3svSvwzlV90ZSLoxo0bk56enuX2n3766a3nKFq0KOvXr3/vWnT/T77IkkqlYtOmTSxfvpzw8HBmzZpFcnIyZcqUoWnTpsyd+79nzwMCAjAxMWH27NmMHDkSU1NTqlatqp4U911Uq1aNAwcOMHbsWBo0aEB6ejoVK1akc+fO2R7Xtm1bhg0bRmBgIImJibRq1Yrx48czadKkXCZ/+XVe2Q0HLFWqFFFRUYwaNYr/+7//IzExkXLlytGiRQt1x8rs2bPVjyGZm5szYsQInjx5ku11t27dSlBQEF27diUhIQEHBweNbyPKqSlTplC8eHFCQkK4fv06VlZWeHh48OWXX+b6nPmhhXdLHj96xKKF83n48AHOlVxYtHQF1jo8JFMyFTzbv/sWgOEDNEewjRw3hRat23Hlj2iiL54HoNsnrTT2WffdbmxKaT6mV1DpejtlRomZNm/aAECfnt011gdPnU5bH939S7oS20oy6YaLFy7Qp9f//jzNmfVyPro27dozZVru/y6lbceOHObe3bs6/bnwukePHjF+7CgePniAmbk5jo7OLFqygtp162m7tPeixD9TouBQpWfX/SOEUIQXKdquQPxXPfw38e076Zhi5rr1yNJ/WZoC/4qjpyP/wiiUR4F/nEhOTdN2CXmukJ4yPyP0FJjLSEeHP7hN3K+1a58Nbqq1a78PmdNFCCGEEEIIIYQQIh9Ip4sQQgghhBBCCCFEPtDRQU1CCCGEEEIIIYT4kOQp15yTThchhBD5xtpM5j8R2iPznwiRd5T4x6mwvvIG/SuxnYTQddLpIoQQQgghhBBCiLfSla+MLkiU170rhBBCCCGEEEIIUQBIp4vQEBERgZWVlbbL0EmTJk2ievXq2i5DCCGEEEIIIfKFSqW9RVdJp0suREZGolKpiIuLy7DN3t6esLCwD17Tm/5LnSerV6+mZs2amJiYYG5uTqNGjfjxxx+1XdZ/zsb16/Bu7klN96r4denE+XPntF3Se5NMBd/JE8cZPLA/zZvUp3oVZ37Zv0/bJeUJpbUTKDMTKDOXZNINkqngk59RukWpuYT2SaeL0GlBQUH069ePzp07c+7cOY4dO0b9+vVp164dCxcu1HZ5/xl7du8idFYI/QYMZOPm73F2rsTn/XoTGxur7dJyTTLphufPn+Hk7MyYsRO1XUqeUWI7KTETKDOXZNINkkk3yM8o3aHUXKJgkE6XfBYXF0dAQADFixfHwsICT09Pzp49q97+6pGUVatWUbZsWczMzBgwYACpqanMmjULGxsbSpQowbRp0zTOO3fuXKpWrYqpqSl2dnYMGDCA+Ph44OVInJ49e/LkyRNUKhUqlYpJkyYB8PjxY7p3706RIkUwMTHB29ubK1euZJth8eLFVKxYEQMDA5ydnVm7dq3G9j/++IP69etjZGRE5cqV2bdvHyqVim3btgHg6elJYGCgxjEPHjzAwMCA/fv35+a2AnDkyBHmzJnD7NmzCQoKwsHBARcXF6ZNm8bQoUMZPnw4t27dAv438uenn37CxcUFMzMzWrRowd27dzXOuWrVKlxdXTE0NMTW1laj7piYGNq1a4eZmRkWFhb4+vryzz//ZFlfWloakydPpkyZMhgaGlK9enX27Nmjsc/vv/9O9erVMTIyokaNGmzbtg2VSsWZM2dIT0/HwcGB0NBQjWPOnDmDSqXi6tWrub53eW3t6nA6fOKLT/uOVHRwYNzEYIyMjNj23VZtl5Zrkkk31G/QiMDBw/Bs1lzbpeQZJbaTEjOBMnNJJt0gmXSD/IzSHUrNlR9e/X6pjUVXSadLPuvUqRP3799n9+7dnDx5Eg8PD5o2bcqjR4/U+1y7do3du3ezZ88eNmzYwMqVK2nVqhV///03Bw4cYObMmYwbN46jR4+qj9HT02P+/PlcvHiR1atX88svv/DFF18AULduXcLCwrCwsODu3bvcvXuXoKAgAPz9/Tlx4gTbt2/n8OHDpKen07JlS5KTkzOt//vvv2fIkCGMGDGCCxcu0K9fP3r27Mmvv/4KQGpqKj4+PpiYmHD06FGWLVvG2LFjNc4REBDA+vXrSUxMVK/75ptvKF26NJ6enrm+txs2bMDMzIx+/fpl2DZixAiSk5PZuvV/H5TPnj0jNDSUtWvXcvDgQWJiYtT3BV52Lg0cOJC+ffty/vx5tm/fjoODA/CyA6Vdu3Y8evSIAwcOsHfvXq5fv07nzp2zrG/evHnMmTOH0NBQzp07h5eXF23btlV3cj19+pQ2bdpQtWpVTp06xZQpUxg1apT6eJVKRa9evQgPD9c4b3h4OA0bNlTXpm3JSUlEX7pI7Tp11ev09PSoXbsu586e1mJluSeZhLYosZ2UmAmUmUsy6QbJJLRFqe2k1Fyi4JBOl/dQpkwZzMzMNJaYmBj19kOHDnHs2DE2b95MjRo1cHR0JDQ0FCsrK7Zs2aLeLy0tjVWrVlG5cmXatGlDkyZNuHz5MmFhYTg7O9OzZ0+cnZ3VHR0AQ4cOpUmTJtjb2+Pp6cnUqVP59ttvATAwMMDS0hKVSoWNjQ02NjaYmZlx5coVtm/fzooVK2jQoAFubm6sW7eO27dvq0elvCk0NBR/f38GDBiAk5MTw4cPp0OHDurRF3v37uXatWusWbMGNzc36tevn2FUTocOHQD44Ycf1OsiIiLw9/d/rx7LP//8Uz0C502lSpXCwsKCP//8U70uOTmZJUuWUKNGDTw8PAgMDNQYaTN16lRGjBjBkCFDcHJyombNmgwdOhSA/fv3c/78edavX89HH33Exx9/zJo1azhw4ADHjx/PtL7Q0FBGjRpFly5dcHZ2ZubMmVSvXl0958/69etRqVQsX76cypUr4+3tzciRIzXO4e/vz+XLlzl27Jg6w/r16+nVq1eW9yUxMZGnT59qLK93eOW1x3GPSU1NxdraWmO9tbU1Dx8+zLfr5ifJJLRFie2kxEygzFySSTdIJqEtSm0npebKLzKRbs5Jp8t7+O233zhz5ozGUqpUKfX2s2fPEh8fj7W1tUbHzI0bN7h27Zp6P3t7e8zNzdWvS5YsSeXKldHT09NYd//+ffXrffv20bRpU0qXLo25uTndunUjNjaWZ8+eZVlvdHQ0hQoV4uOPP1avs7a2xtnZmejo6CyPqVevnsa6evXqqfe/fPkydnZ22NjYqLfXqlVLY38jIyO6devGqlWrADh16hQXLlzA398/02vGxMRo3K/p06dnmSk9PT3LbW8yMTGhYsWK6te2trbqe3r//n3u3LlD06ZNMz02OjoaOzs77Ozs1OsqV66MlZVVpvfu6dOn3Llz5633rlq1ahgZGam3v3nvSpUqRatWrdT3bseOHSQmJtKpU6csc4aEhGBpaamxzJ4ZkuX+QgghhBBCCCHyRyFtF6DLypcvn+EbggoV+t8tjY+Px9bWlsjIyAzHvn5c4cKFNbapVKpM16WlpQFw8+ZNWrduzeeff860adMoWrQohw4donfv3iQlJWFiYvJ+wfJBQEAA1atX5++//yY8PBxPT0/KlSuX6b6lSpXizJkz6tdFixbNdD8nJycOHTpEUlJShtEud+7c4enTpzg5OanXZXZPX3XaGBsb5ybWBxEQEEC3bt346quvCA8Pp3Pnztm28ZgxYxg+fLjGunR9w3yrr4hVEfT19TNMNBYbG0uxYsXy7br5STIJbVFiOykxEygzl2TSDZJJaItS20mpuUTBISNd8pGHhwf37t2jUKFCODg4aCzv8wf45MmTpKWlMWfOHGrXro2TkxN37tzR2MfAwIDU1FSNdS4uLqSkpGjMDRMbG8vly5epXLlyptdycXEhKipKY11UVJR6f2dnZ27duqUxoWxmj9tUrVqVGjVqsHz58rc+HvPm/cqq06VLly7Ex8ezdOnSDNtCQ0MpXLgwHTt2zPI6rzM3N8fe3j7LiX1dXFy4deuWemJegEuXLhEXF5fpvbOwsKBUqVJvvXfnz5/XePQns3vXsmVLTE1NWbx4MXv27Mn23gEYGhpiYWGhsRga5l+nS2EDA1wqu3L0yGH1urS0NI4ePUw1N/d8u25+kkxCW5TYTkrMBMrMJZl0g2QS2qLUdlJqrvwiE+nmnIx0yUfNmjWjTp06+Pj4MGvWLHXnyM6dO2nfvj01atTI1XkdHBxITk5mwYIFtGnThqioKJYsWaKxj729PfHx8ezfvx83NzdMTExwdHSkXbt29OnTh6VLl2Jubs7o0aMpXbo07dq1y/RaI0eOxNfXF3d3d5o1a8aOHTv47rvv2LdvHwDNmzenYsWK9OjRg1mzZvHvv/8ybtw4gAx/MAICAggMDMTU1JT27dvnKvvr6tSpw5AhQxg5ciRJSUn4+PiQnJzMN998w7x58wgLC9N4HOhtJk2aRP/+/SlRogTe3t78+++/REVFMWjQIJo1a0bVqlXx8/MjLCyMlJQUBgwYQKNGjbJsx5EjRzJx4kQqVqxI9erVCQ8P58yZM6xbtw6ATz/9lLFjx9K3b19Gjx5NTEyMeq6c1++dvr4+/v7+jBkzBkdHR+rUqfMedy1/dOvRk/FfjsLVtQpVqlbjm7Wref78OT7tO2i7tFyTTLrh2bMEjbm0bt/+mz/+iMbS0hJb21LZHFlwKbGdlJgJlJlLMukGyaQb5GeU7lBqLlEwSKdLPlKpVOzatYuxY8fSs2dPHjx4gI2NDQ0bNqRkyZK5Pq+bmxtz585l5syZjBkzhoYNGxISEkL37t3V+9StW5f+/fvTuXNnYmNjmThxIpMmTSI8PJwhQ4bQunVrkpKSaNiwIbt27crw6M0rPj4+zJs3j9DQUIYMGUL58uUJDw+ncePGwMsOgW3bthEQEEDNmjWpUKECs2fPpk2bNhpzlQB07dqVoUOH0rVr1wzbcissLIxq1aqxaNEixo0bh76+Ph4eHmzbto02bdrk6Fw9evTgxYsXfPXVVwQFBVGsWDE++eQT4GVb/vDDDwwaNIiGDRuip6dHixYtWLBgQZbnGzx4ME+ePGHEiBHcv3+fypUrs337dhwdHYGXo2F27NjB559/TvXq1alatSoTJkzg008/zXB/evfuzfTp0+nZs2cO79CH0cK7JY8fPWLRwvk8fPgA50ouLFq6AmsdHpIpmXTDxQsX6NPrf599c2a9nL+oTbv2TJk2Q1tlvRcltpMSM4Eyc0km3SCZdIP8jNIdSs2VH3R4wInWqNJzMhOpEO8gKiqK+vXrc/XqVY2Ja2/evEnFihU5fvw4Hh4eWqyw4Fq3bh09e/bkyZMnGvPM/PbbbzRt2pRbt27lqsPuRUpeVinEu1PiTxj5y4YQQiiD/IwS2mSko8Mfak2P1Nq1j33ZWGvXfh862tSiIPn+++8xMzPD0dGRq1evMmTIEOrVq6fucElOTiY2NpZx48ZRu3Zt6XB5zZo1a6hQoQKlS5fm7NmzjBo1Cl9fX3WHS2JiIg8ePGDSpEl06tTpvUZICSGEEEIIIcT70OW5VbRFJtIV7+3ff/9l4MCBVKpUCX9/f2rWrMkPP/yg3h4VFYWtrS3Hjx/PMPfMf929e/f47LPPcHFxYdiwYXTq1Illy5apt2/YsIFy5coRFxfHrFmztFipEEIIIYQQQoickseLhPgPkMeLhLYo8SeM/AOPEEIog/yMEtqkq48XfRxyQGvXPjqmkdau/T50tKmFEEIIIYQQQgjxIUnHXs5Jp4sQQgghhBDiP0d+eRRCfAjS6SKEEEIIIYQQQoi3kol0c04m0hVCCCGEEEIIIYTIB9LpomMmTZpE9erVtV3Ge3szh7+/Pz4+PurXjRs3ZujQoe99nbw6jxBCCCGEEEIIkVPS6fIOIiMjUalUxMXFZdhmb29PWFjYB6slKCiI/fv3f7DrZaVx48aoVCpUKhVGRkZUrlyZRYsW5dn5v/vuO6ZMmfLO+2fVRjk9T27du3ePQYMGUaFCBQwNDbGzs6NNmzYFoq0+lI3r1+Hd3JOa7lXx69KJ8+fOabuk9yaZCr6TJ44zeGB/mjepT/Uqzvyyf5+2S8oTSmsnUGYmUGYuyaQbJJNukEy6Q6m58ppKpb1FV0mni44xMzPD2tpa22UA0KdPH+7evculS5fw9fVl4MCBbNiwIU/OXbRoUczNzQvMebJz8+ZNPvroI3755Rdmz57N+fPn2bNnD02aNGHgwIG5Pm9qaippaWl5WGn+2bN7F6GzQug3YCAbN3+Ps3MlPu/Xm9jYWG2XlmuSSTc8f/4MJ2dnxoydqO1S8owS20mJmUCZuSSTbpBMukEy6Q6l5hIFg3S65LGYmBjatWuHmZkZFhYW+Pr68s8//6i3nz17liZNmmBubo6FhQUfffQRJ06cACAiIgIrKyu2bduGo6MjRkZGeHl5cevWLfXxmT1etGrVKlxdXTE0NMTW1pbAwED1tri4OAICAihevDgWFhZ4enpy9uzZPMlqYmKCjY0NFSpUYNKkSTg6OrJ9+3YARo0ahZOTEyYmJlSoUIHx48eTnJz8zud+87GgtWvXUqNGDczNzbGxseHTTz/l/v37wMtOjyZNmgBQpEgRVCoV/v7+Gc7z5Zdf8vHHH2e4lpubG5MnT1a/XrFiBS4uLhgZGVGpUqW3juAZMGAAKpWKY8eO0bFjR5ycnHB1dWX48OEcOXJEvd/cuXOpWrUqpqam2NnZMWDAAOLj49XbX7X/9u3bqVy5MoaGhsTExJCYmEhQUBClS5fG1NSUjz/+mMjIyHe+lx/C2tXhdPjEF5/2Hano4MC4icEYGRmx7but2i4t1ySTbqjfoBGBg4fh2ay5tkvJM0psJyVmAmXmkky6QTLpBsmkO5SaKz+8etpBG4uukk6XPJSWlka7du149OgRBw4cYO/evVy/fp3OnTur9/Hz86NMmTIcP36ckydPMnr0aAoXLqze/uzZM6ZNm8aaNWuIiooiLi6OLl26ZHnNxYsXM3DgQPr27cv58+fZvn07Dg4O6u2dOnXi/v377N69m5MnT+Lh4UHTpk159OhRnuc3NjYmKSkJAHNzcyIiIrh06RLz5s1j+fLlfPXVV7k+d3JyMlOmTOHs2bNs27aNmzdvqjtW7Ozs2Lr15Qfi5cuXuXv3LvPmzctwDj8/P44dO8a1a9fU6y5evMi5c+f49NNPAVi3bh0TJkxg2rRpREdHM336dMaPH8/q1aszrevRo0fs2bOHgQMHYmpqmmG7lZWV+v/19PSYP38+Fy9eZPXq1fzyyy988cUXGvs/e/aMmTNnsmLFCi5evEiJEiUIDAzk8OHDbNy4kXPnztGpUydatGjBlStXcnQP80tyUhLRly5Su05d9To9PT1q167LubOntVhZ7kkmoS1KbCclZgJl5pJMukEy6QbJpDuUmksUHPKV0TlQpkyZDOuePXum/v/9+/dz/vx5bty4gZ2dHQBr1qzB1dWV48ePU7NmTWJiYhg5ciSVKlUCwNHRUeN8ycnJLFy4UD0iY/Xq1bi4uHDs2DFq1aqV4fpTp05lxIgRDBkyRL2uZs2aABw6dIhjx45x//59DA0NAQgNDWXbtm1s2bKFvn37vs/tUEtNTWXDhg2cO3dOfc5x48apt9vb2xMUFMTGjRszdDK8q169eqn/v0KFCsyfP5+aNWsSHx+PmZkZRYsWBaBEiRIaHR2vc3V1xc3NjfXr1zN+/HjgZSfLxx9/rO6omjhxInPmzKFDhw4AlC9fnkuXLrF06VJ69OiR4ZxXr14lPT1d3Z7ZeX3kjr29PVOnTqV///4aI2mSk5NZtGgRbm5uwMuRU+Hh4cTExFCqVCng5bw+e/bsITw8nOnTp2e4TmJiIomJiRrr0vUN1e+BvPY47jGpqakZHnuztrbmxo3r+XLN/CaZhLYosZ2UmAmUmUsy6QbJpBskk+5Qai5RcMhIlxz47bffOHPmjMby6hdhgOjoaOzs7NQdLgCVK1fGysqK6OhoAIYPH05AQADNmjVjxowZGqMuAAoVKqTuNAGoVKmSxvGvu3//Pnfu3KFp06aZ1nv27Fni4+OxtrbGzMxMvdy4cSPDdV/x9vZW7+fq6prt/Vi0aBFmZmYYGxvTp08fhg0bxueffw7Apk2bqFevHjY2NpiZmTFu3DhiYmKyPV92Tp48SZs2bShbtizm5uY0atQIIMfn9PPzY/369QCkp6ezYcMG/Pz8AEhISODatWv07t1b435NnTo1y/uVnp7+ztfet28fTZs2pXTp0pibm9OtWzdiY2M1Ou4MDAyoVq2a+vX58+dJTU3FyclJo6YDBw5kWVNISAiWlpYay+yZIe9cpxBCCCGEEEJkRibSzTkZ6ZID5cuXzzCKolChnN3CSZMm8emnn7Jz5052797NxIkT2bhxI+3bt89xPcbGxtluj4+Px9bWNtP5P7IaDbJixQqeP38OoPHYU2b8/PwYO3YsxsbG2Nraoqf3sg/v8OHD+Pn5ERwcjJeXF5aWlmzcuJE5c+a8PVQmEhIS8PLywsvLi3Xr1lG8eHFiYmLw8vJSP870rrp27cqoUaM4deoUz58/59atW+rHv17Nr7J8+fIMc7/o6+tnej5HR0dUKhV//PFHtte9efMmrVu35vPPP2fatGkULVqUQ4cO0bt3b5KSkjAxMQFetunrzyvGx8ejr6/PyZMnM9RgZmaW6bXGjBnD8OHDNdal6+fPKBeAIlZF0NfXzzDRWGxsLMWKFcu36+YnySS0RYntpMRMoMxckkk3SCbdIJl0h1JziYJDRrrkIRcXF27duqUx8e2lS5eIi4ujcuXK6nVOTk4MGzaMn3/+mQ4dOhAeHq7elpKSop5YF17OURIXF4eLi0uG65mbm2Nvb5/l1xJ7eHhw7949ChUqhIODg8aS1QdI6dKl1fuUK1cu27yWlpY4ODhQunRpdYcLwO+//065cuUYO3YsNWrUwNHRkb/++ivbc2Xnjz/+IDY2lhkzZtCgQQMqVaqknkT3FQMDA+Dlo07ZKVOmDI0aNWLdunWsW7eO5s2bU6JECQBKlixJqVKluH79eob7Vb58+UzPV7RoUby8vPj6669JSEjIsP3VV1ifPHmStLQ05syZQ+3atXFycuLOnTtvze7u7k5qair379/PUJONjU2mxxgaGmJhYaGx5NejRQCFDQxwqezK0SOH1evS0tI4evQw1dzc8+26+UkyCW1RYjspMRMoM5dk0g2SSTdIJt2h1Fz5RSbSzTkZ6ZKHmjVrRtWqVfHz8yMsLIyUlBQGDBhAo0aNqFGjBs+fP2fkyJF88sknlC9fnr///pvjx4/TsWNH9TkKFy7MoEGDmD9/PoUKFSIwMJDatWtnOp8LvBw5079/f0qUKIG3tzf//vsvUVFRDBo0iGbNmlGnTh18fHyYNWuW+hf9nTt30r59e2rUqJEv98HR0ZGYmBg2btxIzZo12blzJ99//32uz1e2bFkMDAxYsGAB/fv358KFC0yZMkVjn3LlyqFSqfjxxx9p2bIlxsbGWY4E8fPzY+LEiSQlJWWY3Dc4OJjBgwdjaWlJixYtSExM5MSJEzx+/DjD6JFXvv76a+rVq0etWrWYPHky1apVIyUlhb1797J48WKio6NxcHAgOTmZBQsW0KZNG6KioliyZMlbszs5OeHn50f37t2ZM2cO7u7uPHjwgP3791OtWjVatWr1jncxf3Xr0ZPxX47C1bUKVapW45u1q3n+/Dk+7Ttou7Rck0y64dmzBI3HDG/f/ps//ojG0tISW9tS2RxZcCmxnZSYCZSZSzLpBsmkGyST7lBqLlEwSKdLHlKpVPzwww8MGjSIhg0boqenR4sWLViwYAGAetha9+7d+eeffyhWrBgdOnQgODhYfQ4TExNGjRrFp59+yu3bt2nQoAErV67M8po9evTgxYsXfPXVVwQFBVGsWDE++eQTdT27du1i7Nix9OzZkwcPHmBjY0PDhg0pWbJkvt2Htm3bMmzYMAIDA0lMTKRVq1aMHz+eSZMm5ep8xYsXJyIigi+//JL58+fj4eFBaGgobdu2Ve9TunRpgoODGT16ND179qR79+5ERERker5PPvmEwMBA9PX18fHx0dgWEBCAiYkJs2fPZuTIkZiamlK1alWNSXDfVKFCBU6dOsW0adMYMWIEd+/epXjx4nz00UcsXrwYePm11HPnzmXmzJmMGTOGhg0bEhISQvfu3d+aPzw8XD1h8u3btylWrBi1a9emdevWbz32Q2nh3ZLHjx6xaOF8Hj58gHMlFxYtXYG1Dg/JlEy64eKFC/Tp9b8/R3NmvZy/qE279kyZNkNbZb0XJbaTEjOBMnNJJt0gmXSDZNIdSs2VH3R5xIm2qNJzMhOoyFcREREMHTpU/UiKEHnlRYq2KxD/VUr8CSN/1xBCCCHE+zLS0eEPDedGae3aB4fX09q134fM6SKEEEIIIYQQQgiRD3S0f00IIYQQQgghhBAfkoz4zTkZ6VKA+Pv7y6NFQgghhBBCCCGEQshIFyGEEPlG/jVECCFEQSXzjgmRczKRbs7JSBchhBBCCCGEEEKIfCCdLkIIIYQQQgghhBD5QB4vEkIIIYQQQgghxFvJ00U5JyNdhFaoVCq2bdum7TKEEEIIIYQQQoh885/vdImMjESlUqm/NejV6yJFivDixQuNfY8fP45KpdKYPOjV/pkt9+7de+v1V69eTc2aNTExMcHc3JxGjRrx448/ZlpjftZka2vLjBkzNNaNHj0alUpFZGSkxvrGjRvTrVu3t2bLa0lJScyaNQs3NzdMTEwoVqwY9erVIzw8nOTk5A9eT15QUufTxvXr8G7uSU33qvh16cT5c+e0XdJ7k0y6QTLpBiVmAmXmkky6QTIVfCdPHGfwwP40b1Kf6lWc+WX/Pm2XlCeU1k6vKDVXXsvq98wPseiq/3ynS1bMzc35/vvvNdatXLmSsmXLZrr/5cuXuXv3rsZSokSJbK8RFBREv3796Ny5M+fOnePYsWPUr1+fdu3asXDhwg9aU+PGjTN0rvz666/Y2dlprH/x4gVHjhzB09Mz22xZSUpKyvVxXl5ezJgxg759+/L7779z7NgxBg4cyIIFC7h48WKuzivyxp7duwidFUK/AQPZuPl7nJ0r8Xm/3sTGxmq7tFyTTLpBMukGJWYCZeaSTLpBMumG58+f4eTszJixE7VdSp5RYjuBcnOJgkE6XbLQo0cPVq1apX79/PlzNm7cSI8ePTLdv0SJEtjY2GgsenpZ394jR44wZ84cZs+eTVBQEA4ODri4uDBt2jSGDh3K8OHDuXXr1gerqUmTJkRFRZGSkgLAv//+y+nTpxk1apRGp8vhw4dJTEykSZMmABw4cIBatWphaGiIra0to0ePVp8DXnbmBAYGMnToUIoVK4aXl1em1584cSK2tracy6JHOSwsjIMHD7J//34GDhxI9erVqVChAp9++ilHjx7F0dERgMTERAYPHkyJEiUwMjKifv36HD9+XH2eV6OAfvrpJ9zd3TE2NsbT05P79++ze/duXFxcsLCw4NNPP+XZs2cZcgQGBmJpaUmxYsUYP3486W/5rsEffvgBDw8PjIyMqFChAsHBwer7Y29vD0D79u1RqVTq1wA7duygZs2aGBkZUaxYMdq3b5/tdbRt7epwOnzii0/7jlR0cGDcxGCMjIzY9t1WbZeWa5JJN0gm3aDETKDMXJJJN0gm3VC/QSMCBw/Ds1lzbZeSZ5TYTqDcXPlBpdLeoquk0yUL3bp147fffiMmJgaArVu3Ym9vj4eHR56cf8OGDZiZmdGvX78M20aMGEFycjJbt2r+Ic/Pmpo0aUJ8fLy6g+K3337DycmJjh07cvToUfVjTb/++iv29vbY29tz+/ZtWrZsSc2aNTl79iyLFy9m5cqVTJ06VePcq1evxsDAgKioKJYsWaKxLT09nUGDBrFmzRp+++03qlWrlml969ato1mzZri7u2fYVrhwYUxNTQH44osv2Lp1K6tXr+bUqVM4ODjg5eXFo0ePNI6ZNGkSCxcu5Pfff+fWrVv4+voSFhbG+vXr2blzJz///DMLFizIkKNQoUIcO3aMefPmMXfuXFasWJHlPf3tt9/o3r07Q4YM4dKlSyxdupSIiAimTZsGoL7X4eHh3L17V/16586dtG/fnpYtW3L69Gn2799PrVq1sryOtiUnJRF96SK169RVr9PT06N27bqcO3tai5XlnmTSDZJJNygxEygzl2TSDZJJaItS20mpuUTBIZ0uWShRogTe3t5EREQAsGrVKnr16pXl/mXKlMHMzEy9uLq6Znv+P//8k4oVK2JgYJBhW6lSpbCwsODPP//8YDU5OjpSunRp9aiWyMhIGjVqhI2NDWXLluXw4cPq9a9GuSxatAg7OzsWLlxIpUqV8PHxITg4mDlz5pCWlqZx7lmzZuHs7Iyzs7N6fUpKCp999hn79+/n0KFDODg4ZFnflStXqFSpUpbbARISEli8eDGzZ8/G29ubypUrs3z5coyNjVm5cqXGvlOnTqVevXq4u7vTu3dvDhw4wOLFi3F3d6dBgwZ88skn/PrrrxrH2NnZ8dVXX+Hs7Iyfnx+DBg3iq6++yrKe4OBgRo8eTY8ePahQoQLNmzdnypQpLF26FIDixYsDYGVlhY2Njfr1tGnT6NKlC8HBwbi4uODm5saYMWOyzf66xMREnj59qrEkJia+8/E59TjuMampqVhbW2ust7a25uHDh/l23fwkmXSDZNINSswEyswlmXSDZBLaotR2UmouUXBIp0s2evXqRUREBNevX+fw4cP4+fllue9vv/3GmTNn1MuuXbvU61/v+Fi3bp36mLc9mpJZh0x+1vT6vC6RkZE0btwYgEaNGhEZGcnz5885evSoutMlOjqaOnXqaExqVK9ePeLj4/n777/V6z766KNM6xs2bBhHjx7l4MGDlC5dOtt78bZ7BXDt2jWSk5OpV6+eel3hwoWpVasW0dHRGvu+PqKmZMmSmJiYUKFCBY119+/f1zimdu3aGlnr1KnDlStXSE1NzbSes2fPMnnyZI173adPH+7evavx6NKbzpw5Q9OmTd+aNyshISFYWlpqLLNnhuT6fEIIIYQQQggBoKdSaW3RVYW0XUBB5u3tTd++fenduzdt2rTJ0Pv5uvLly2NlZZVhfY0aNThz5oz6dcmSJYGXoz8OHTpEUlJShs6VO3fu8PTpU5ycnD5oTU2aNGHIkCHExsZy+vRpGjVqBLzsdFm6dCkNGzYkKSkpx5Povnr0503Nmzdnw4YN/PTTT9l2HgE4OTnxxx9/5Oi62SlcuLD6/1UqlcbrV+teH62TG/Hx8QQHB9OhQ4cM24yMjLI8ztjY+L2uO2bMGIYPH66xLl3f8L3OmZ0iVkXQ19fPMNFYbGwsxYoVy7fr5ifJpBskk25QYiZQZi7JpBskk9AWpbaTUnOJgkNGumSjUKFCdO/encjIyGwf48mOsbExDg4O6sXc3ByArl27Eh8fr37U5HWhoaEYGRnRuXPnD1pTkyZNSEhIYO7cuTg6Oqq/6ahhw4YcO3aM3bt3qx9DAnBxceHw4cMao1CioqIwNzenTJkyb62jbdu2rF+/noCAADZu3Jjtvp9++in79u3j9OmMz1UmJyeTkJCgflwrKipKY9vx48epXLny22/MWxw9elTj9ZEjR3B0dERfXz/T/T08PLh8+bLGvX61vJrQuHDhwhlGylSrVo39+/fnuk5DQ0MsLCw0FkPD/Ot0KWxggEtlV44eOaxel5aWxtGjh6nmlnEOHl0gmXSDZNINSswEyswlmXSDZBLaotR2Umqu/CIT6eacjHR5iylTpjBy5MhsR5QA3L9/Xz3Z7CvW1tYZRlC8UqdOHYYMGcLIkSNJSkrCx8eH5ORkvvnmG+bPn09ERESW18yvmipUqEDZsmVZsGCBxsgTOzs7SpUqxbJly+jatat6/YABAwgLC2PQoEEEBgZy+fJlJk6cyPDhw7P95qbXtW/fnrVr19KtWzcKFSrEJ598kul+Q4cOZefOnTRt2pQpU6ZQv359zM3NOXHiBDNnzmTlypVUr16dzz//nJEjR1K0aFHKli3LrFmzePbsGb17936nerITExPD8OHD6devH6dOnWLBggXMmTMny/0nTJhA69atKVu2LJ988gl6enqcPXuWCxcuqCcbtre3Z//+/dSrVw9DQ0OKFCnCxIkTadq0KRUrVqRLly6kpKSwa9cuRo0aBbwcyXL79m3WrFnz3pnySrcePRn/5ShcXatQpWo1vlm7mufPn+PTPuMoH10hmXSDZNINSswEyswlmXSDZNINz54lqL8AA+D27b/5449oLC0tsbUtpcXKck+J7QTKzSUKBul0eQsDA4N3Glb2+gSxrxw+fJjatWtneUxYWBjVqlVj0aJFjBs3jhcvXmBgYMAvv/xCw4YNtVJTkyZNWL16tXo+l1caNWpERESEej4XgNKlS7Nr1y5GjhyJm5sbRYsWpXfv3owbN+6ttb3uk08+IS0tjW7duqGnp5fp4ziGhobs3buXr776iqVLlxIUFISJiQkuLi4MHjyYKlWqADBjxgz1uf79919q1KjBTz/9RJEiRXJUU2a6d+/O8+fPqVWrFvr6+gwZMoS+fftmub+Xlxc//vgjkydPZubMmRQuXJhKlSoREBCg3mfOnDkMHz6c5cuXU7p0aW7evEnjxo3ZvHkzU6ZMYcaMGVhYWGi8H+7evavxA7wgaOHdksePHrFo4XwePnyAcyUXFi1dgbUOD8mUTLpBMukGJWYCZeaSTLpBMumGixcu0KdXd/XrObNezrHXpl17pkyboa2y3osS2wmUm0sUDKr0d5mhVHwQN2/epFGjRtSpU4d169Zl+diK+PAaN25M9erVCQsL03YpufIiRdsVCCGEEEIULEr8LUiXH8H4rzHS0eEPXouOvn2nfPLTgI+1du33IXO6FCD29vZERkZSqVIljYluhRBCCCGEEEIIoXt0tH9NucqXL8+kSZO0XYYQQgghhBBCCKFBT0ZT5Zh0ugjxDiIjI7VdghBCCCGEEEIIHSOdLkIIIYQQQohsKXH+EyFEzqlk4qAckzldhBBCCCGEEEIIoRgHDx6kTZs2lCpVCpVKxbZt29TbkpOTGTVqFFWrVsXU1JRSpUrRvXt37ty5o3EOe3t7VCqVxjJjRs6/eUw6XYQQQgghhBBCCKEYCQkJuLm58fXXX2fY9uzZM06dOsX48eM5deoU3333HZcvX6Zt27YZ9p08eTJ3795VL4MGDcpxLdLpksfe7EUrKCIjI1GpVMTFxQEQERGBlZXVOx9vb2+vs1+X/C7evD+5VVDbXwghhBBCCCHel0qlvSUnvL29mTp1Ku3bt8+wzdLSkr179+Lr64uzszO1a9dm4cKFnDx5kpiYGI19zc3NsbGxUS+mpqY5vmfS6fKavPrFO6f8/f1RqVT0798/w7aBAweiUqnw9/fP02t27tyZP//88533P378OH379s3TGnLr9eFdlpaW1KtXj19++eWdj2/cuDFDhw7NvwL/ozauX4d3c09qulfFr0snzp87p+2S3ptk0g2SSTcoMRMoM5dk0g1Ky3TyxHEGD+xP8yb1qV7FmV/279N2Se9NiZlAee+9V5SaS0kSExN5+vSpxpKYmJgn537y5AkqlSrDwIQZM2ZgbW2Nu7s7s2fPJiUlJcfnlk6XAsLOzo6NGzfy/Plz9boXL16wfv16ypYtm+fXMzY2pkSJEu+8f/HixTExMcnzOnIrPDycu3fvEhUVRbFixWjdujXXr1/Xdln/WXt27yJ0Vgj9Bgxk4+bvcXauxOf9ehMbG6vt0nJNMukGyaQblJgJlJlLMukGJWZ6/vwZTs7OjBk7Udul5BklZlLiew+Umys/qLT4X0hICJaWlhpLSEjIe2d68eIFo0aNomvXrlhYWKjXDx48mI0bN/Lrr7/Sr18/pk+fzhdffJHj80unSw4cP36c5s2bU6xYMSwtLWnUqBGnTp3KsN/du3fx9vbG2NiYChUqsGXLlree28PDAzs7O7777jv1uu+++46yZcvi7u6usW9aWhohISGUL18eY2Nj3NzcMlxj165dODk5YWxsTJMmTbh586bG9sweL9qxYwc1a9bEyMiIYsWKaQzFevPxIpVKxYoVK2jfvj0mJiY4Ojqyfft2jfNduHABb29vzMzMKFmyJN26dePhw4dvvRfvwsrKChsbG6pUqcLixYt5/vw5e/fuJTY2lq5du1K6dGlMTEyoWrUqGzZsUB/n7+/PgQMHmDdvnnq0zOv35uTJk9SoUQMTExPq1q3L5cuXNa67ePFiKlasiIGBAc7OzqxduzbbOs+fP4+npyfGxsZYW1vTt29f4uPj1dtTUlIYPHgwVlZWWFtbM2rUKHr06IGPjw8Aa9aswdraOkMPro+PD926dcvl3ct7a1eH0+ETX3zad6SigwPjJgZjZGTEtu+2aru0XJNMukEy6QYlZgJl5pJMukGJmeo3aETg4GF4Nmuu7VLyjBIzKfG9B8rNpTRjxozhyZMnGsuYMWPe65zJycn4+vqSnp7O4sWLNbYNHz6cxo0bU61aNfr378+cOXNYsGBBjkfXSKdLDvz777/06NGDQ4cOceTIERwdHWnZsiX//vuvxn7jx4+nY8eOnD17Fj8/P7p06UJ0dPRbz9+rVy/Cw8PVr1etWkXPnj0z7BcSEsKaNWtYsmQJFy9eZNiwYXz22WccOHAAgFu3btGhQwfatGnDmTNnCAgIYPTo0dlee+fOnbRv356WLVty+vRp9u/fT61atbI9Jjg4GF9fX86dO0fLli3x8/Pj0aNHAMTFxeHp6Ym7uzsnTpxgz549/PPPP/j6+r71PuSUsbExAElJSbx48YKPPvqInTt3cuHCBfr27Uu3bt04duwYAPPmzaNOnTr06dNHPRmSnZ2d+lxjx45lzpw5nDhxgkKFCtGrVy/1tu+//54hQ4YwYsQILly4QL9+/ejZsye//vprpnUlJCTg5eVFkSJFOH78OJs3b2bfvn0EBgaq95k5cybr1q0jPDycqKgonj59qjEnTKdOnUhNTdXo0Lp//z47d+7UqE2bkpOSiL50kdp16qrX6enpUbt2Xc6dPa3FynJPMukGyaQblJgJlJlLMukGJWYSukGp7z2l5lIiQ0NDLCwsNBZDQ8Ncn+9Vh8tff/3F3r17NUa5ZObjjz8mJSUlw4CGtymU6wr/gzw9PTVeL1u2DCsrKw4cOEDr1q3V6zt16kRAQAAAU6ZMYe/evSxYsIBFixZle/7PPvuMMWPG8NdffwEQFRXFxo0biYyMVO+TmJjI9OnT2bdvH3Xq1AGgQoUKHDp0iKVLl9KoUSP1aIw5c+YA4OzszPnz55k5c2aW1542bRpdunQhODhYvc7NzS3bev39/enatSsA06dPZ/78+Rw7dowWLVqwcOFC3N3dmT59unr/VatWYWdnx59//omTk1O2535Xz549Y9y4cejr69OoUSNKly5NUFCQevugQYP46aef+Pbbb6lVqxaWlpYYGBhgYmKCjY1NhvNNmzaNRo0aATB69GhatWrFixcvMDIyIjQ0FH9/fwYMGAC87Pk8cuQIoaGhNGnSJMO51q9fz4sXL1izZo16wqWFCxfSpk0bZs6cScmSJVmwYAFjxoxRjypauHAhu3btUp/D2NiYTz/9lPDwcDp16gTAN998Q9myZWncuHGm9yQxMTFD72u6vuF7fSBl53HcY1JTU7G2ttZYb21tzY0buvnIl2TSDZJJNygxEygzl2TSDUrMJHSDUt97Ss2VX/RyOKFtQfWqw+XKlSv8+uuvGdo/M2fOnEFPTy9H03SAdLrkyD///MO4ceOIjIzk/v37pKam8uzZswwzHL/qDHn99ZkzZ956/uLFi9OqVSsiIiJIT0+nVatWFCtWTGOfq1ev8uzZM5o31xymmJSUpH4MKTo6mo8//jjbmt505swZ+vTp89YaX1etWjX1/5uammJhYcH9+/cBOHv2LL/++itmZmYZjrt27VqmnS6v7/vZZ5+xZMmSLK/dtWtX9PX1ef78OcWLF2flypVUq1aN1NRUpk+fzrfffsvt27dJSkoiMTHxneejeT2Tra0t8HJkSdmyZYmOjs4wmXC9evWYN29epueKjo7Gzc1NY4brevXqkZaWxuXLlzEyMuKff/7RGFGkr6/PRx99RFpamnpdnz59qFmzJrdv36Z06dJERESoJ1/OTEhIiEbnGcDY8RMZN2HSO90DIYQQQgghhNBl8fHxXL16Vf36xo0bnDlzhqJFi2Jra8snn3zCqVOn+PHHH0lNTeXevXsAFC1aFAMDAw4fPszRo0dp0qQJ5ubmHD58WP2ESZEiRXJUi3S65ECPHj2IjY1l3rx5lCtXDkNDQ+rUqUNSUlKeXaNXr17qx08y+07xV/OB7Ny5k9KlS2tse5+RDK8e0cmJwoULa7xWqVTqzoL4+Hj1iI43verMeNPrHVNvG9r11Vdf0axZMywtLSlevLh6/ezZs5k3bx5hYWFUrVoVU1NThg4d+s5t9HqmV50ar3eAaIO7uztubm6sWbOG//u//+PixYvs3Lkzy/3HjBnD8OHDNdal6+fPKBeAIlZF0NfXzzDRWGxsbIZOQ10hmXSDZNINSswEyswlmXSDEjMJ3aDU955Sc+WXrP7ht6A5ceKExtMIr34/6tGjB5MmTVJP31C9enWN43799VcaN26MoaEhGzduZNKkSSQmJlK+fHmGDRuW4fesdyFzuuRAVFQUgwcPpmXLlri6umJoaJjpxLBHjhzJ8NrFxeWdrtGiRQuSkpJITk7Gy8srw/bKlStjaGhITEwMDg4OGsuruUlcXFzUc5hkVdObqlWrxv79+9+pxnfh4eHBxYsXsbe3z1BnVt9t/vo+bxuyZWNjg4ODg0aHC7xso3bt2vHZZ5/h5uZGhQoVMnw1toGBAampqTnO5OLiQlRUVIbrVa5cOcv9z549S0JCgsb+enp6ODs7Y2lpScmSJTl+/Lh6e2pqaqaTMwcEBBAREUF4eDjNmjXTmIfmTXn9rOPbFDYwwKWyK0ePHFavS0tL4+jRw1Rzc8/myIJLMukGyaQblJgJlJlLMukGJWYSukGp7z2l5vqva9y4Menp6RmWiIgI7O3tM92Wnp6unsLBw8ODI0eOEBcXx/Pnz7l06RJjxozJ1e9VMtIlE+fPn8fc3Fz9WqVS4ebmhqOjI2vXrqVGjRo8ffqUkSNHZjpCZPPmzdSoUYP69euzbt06jh07xsqVK9/p2vr6+upJd/X19TNsNzc3JygoiGHDhpGWlkb9+vV58uQJUVFRWFhY0KNHD/XMyiNHjiQgIICTJ08SERGR7XUnTpxI06ZNqVixIl26dCElJYVdu3YxatSod6r7TQMHDmT58uV07dqVL774gqJFi3L16lU2btzIihUrMs2WFxwdHdmyZQu///47RYoUYe7cufzzzz8aHSP29vYcPXqUmzdvYmZmRtGiRd/p3CNHjsTX1xd3d3eaNWvGjh07+O6779i3b1+m+/v5+TFx4kR1b+qDBw8YNGgQ3bp1o2TJksDLOWdCQkJwcHCgUqVKLFiwgMePH2foQf70008JCgpi+fLlrFmzJpd3J/9069GT8V+OwtW1ClWqVuObtat5/vw5Pu07aLu0XJNMukEy6QYlZgJl5pJMukGJmZ49S9B4ZP/27b/5449oLC0tsbUtpcXKck+JmZT43gPl5soPOjLQpUCRTpdMNGzYUOO1vr4+KSkprFy5kr59+6q/3nn69Okak7a+EhwczMaNGxkwYAC2trZs2LAhy9EQmXnbozVTpkyhePHihISEcP36daysrPDw8ODLL78EoGzZsmzdupVhw4axYMECatWqxfTp07P9tpvGjRuzefNmpkyZwowZM7CwsMhwH3KiVKlSREVFMWrUKP7v//6PxMREypUrR4sWLdDTy78BVuPGjeP69et4eXlhYmJC37598fHx4cmTJ+p9goKC6NGjB5UrV+b58+fcuHHjnc7t4+PDvHnzCA0NZciQIZQvX57w8PAsJ7Q1MTHhp59+YsiQIdSsWRMTExM6duzI3Llz1fuMGjWKe/fu0b17d/T19enbty9eXl4ZOqUsLS3p2LEjO3fuVH+ddEHSwrsljx89YtHC+Tx8+ADnSi4sWroCax0ekimZdINk0g1KzATKzCWZdIMSM128cIE+vbqrX8+ZFQJAm3btmTJthrbKei9KzKTE9x4oN5coGFTp6enp2i5CCPFSWloaLi4u+Pr6MmXKFI1tTZs2xdXVlfnz5+f4vC9S8qpCIYQQQvwXyW8MukFGIegOIx0d/uCz4oTWrr0toIbWrv0+dLSphVCGv/76i59//plGjRqRmJjIwoULuXHjBp9++ql6n8ePHxMZGUlkZORbv3ZcCCGEEEIIIfKLnvTs5Zh0ugihRXp6ekRERBAUFER6ejpVqlRh3759GhMvu7u78/jxY2bOnImzs7MWqxVCCCGEEEIIkRPS6SKEFtnZ2WX4RqQ33bx588MUI4QQQgghhBDZkIEuOSdfGS2EEEIIIYQQQgiRD2SkixBCiHyTpsCZF+VZZiHEf5F89AkhRO5Ip4sQQgghhBBCCCHeSiU9sDkmjxcJIYQQQgghhBBC5AMZ6SKEEEIIIYQQQoi3koEuOScjXcR/WmRkJCqViri4uFwdHxERgZWVVYb19vb2hIWFvVdtumbj+nV4N/ekpntV/Lp04vy5c9ou6b1JpoJt5fKl+HX+hHq1PPBsWJdhgwdy88Z1bZeVJ5TUTq8oMRMoM5dk0g2SSTdIJt2h1FxC+6TTRYgCLCkpSdslvJM9u3cROiuEfgMGsnHz9zg7V+Lzfr2JjY3Vdmm5JpkKvlMnjtO566esWb+JxctWkZKcwud9A3j+7Jm2S3svSmsnUGYmUGYuyaQbJJNukEy6Q6m58oOeSqW1RVdJp4sQ2UhMTCQoKIjSpUtjamrKxx9/TGRkJPBylEzPnj158uQJKpUKlUrFpEmTaNy4MX/99RfDhg1Tr3/l0KFDNGjQAGNjY+zs7Bg8eDAJCQnq7fb29kyZMoXu3btjYWFB3759SUpKIjAwEFtbW4yMjChXrhwhISEf+lZka+3qcDp84otP+45UdHBg3MRgjIyM2PbdVm2XlmuSqeD7eukK2vp0oKKDI86VKhE8LYR7d+9w6dJFbZf2XpTWTqDMTKDMXJJJN0gm3SCZdIdSc4mCQTpdhMhGYGAghw8fZuPGjZw7d45OnTrRokULrly5Qt26dQkLC8PCwoK7d+9y9+5dgoKC+O677yhTpgyTJ09Wrwe4du0aLVq0oGPHjpw7d45NmzZx6NAhAgMDNa4ZGhqKm5sbp0+fZvz48cyfP5/t27fz7bffcvnyZdatW4e9vb0W7kbmkpOSiL50kdp16qrX6enpUbt2Xc6dPa3FynJPMumm+Ph/AbC0tNRyJbmnxHZSYiZQZi7JpBskk26QTLpDqblEwSET6QqRhZiYGMLDw4mJiaFUqVIABAUFsWfPHsLDw5k+fTqWlpaoVCpsbGw0jtXX18fc3FxjfUhICH5+fgwdOhQAR0dH5s+fT6NGjVi8eDFGRkYAeHp6MmLECI06HB0dqV+/PiqVinLlymVbd2JiIomJiRrr0vUNMTQ0zPW9yM7juMekpqZibW2tsd7a2pobOjq/hmTSPWlpaYTOmE51dw8cHJ20XU6uKbGdlJgJlJlLMukGyaQbJJPuUGqu/KK7D/loj4x0ESIL58+fJzU1FScnJ8zMzNTLgQMHuHbtWo7Pd/bsWSIiIjTO5eXlRVpaGjdu3FDvV6NGDY3j/P39OXPmDM7OzgwePJiff/452+uEhIRgaWmpscyeWbAeRxIir4VMnczVq1eYMXuutksRQgghhBBCTUa6CJGF+Ph49PX1OXnyJPr6+hrbzMzMcnW+fv36MXjw4AzbypYtq/5/U1NTjW0eHh7cuHGD3bt3s2/fPnx9fWnWrBlbtmzJ9Dpjxoxh+PDhGuvS9fNnlAtAEasi6OvrZ5hoLDY2lmLFiuXbdfOTZNItM6ZN5rcDkaxc/Q0l3xh1pmuU2E5KzATKzCWZdINk0g2SSXcoNVd+UenwhLbaIiNdhMiCu7s7qamp3L9/HwcHB43l1WNDBgYGpKamZjg2s/UeHh5cunQpw7kcHBwwMDDIthYLCws6d+7M8uXL2bRpE1u3buXRo0eZ7mtoaIiFhYXGkl+PFgEUNjDApbIrR48cVq9LS0vj6NHDVHNzz7fr5ifJpBvS09OZMW0yv+zfx9JVEZQuU0bbJb03JbaTEjOBMnNJJt0gmXSDZNIdSs0lCg4Z6SIELx8lMjc3V79WqVS4ubnh5+dH9+7dmTNnDu7u7jx48ID9+/dTrVo1WrVqhb29PfHx8ezfvx83NzdMTEwwMTHB3t6egwcP0qVLFwwNDSlWrBijRo2idu3aBAYGEhAQgKmpKZcuXWLv3r0sXLgwy9rmzp2Lra0t7u7u6OnpsXnzZmxsbLCysvoAd+bddOvRk/FfjsLVtQpVqlbjm7Wref78OT7tO2i7tFyTTAVfyNTJ7N71I1/N/xpTU1MePnwAgJmZuXqOJF2ktHYCZWYCZeaSTLpBMukGyaQ7lJpLFAzS6SIE0LBhQ43X+vr6pKSkEB4eztSpUxkxYgS3b9+mWLFi1K5dm9atWwNQt25d+vfvT+fOnYmNjWXixIlMmjSJyZMn069fPypWrEhiYiLp6elUq1aNAwcOMHbsWBo0aEB6ejoVK1akc+fO2dZmbm7OrFmzuHLlCvr6+tSsWZNdu3ahp1dwBqq18G7J40ePWLRwPg8fPsC5kguLlq7AWoeHZEqmgm/zpg0A9OnZXWN98NTptPXR3b8kKa2dQJmZQJm5JJNukEy6QTLpDqXmyg968nRRjqnS09PTtV2EECJ/vUjRdgXivypNgT9i9ORZZiGEEEK8JyMdHf7gt/aM1q69rlt1rV37fehoUwshhBBCCCGEEOJDkol0c67gPJ8ghBBCCCGEEEIIoSAy0kUIIYQQQgghhBBvJQNdck46XYQQooBQ4PQnQgghRIGVlqa8H7x6MsupEAWOPF4khBBCCCGEEEIIkQ9kpIsQQgghhBBCCCHeSibSzTkZ6SKEEEIIIYQQQgiRD6TTRfzn+Pv74+Pjky/ntre3JywsLF/OLYQQQgghhBDapKfS3qKrpNNFaF1kZCQqlQpXV1dSU1M1tllZWREREaGdwkSObFy/Du/mntR0r4pfl06cP3dO2yW9N6VlOnniOIMH9qd5k/pUr+LML/v3abuk97Jy+VL8On9CvVoeeDasy7DBA7l547q2y8oTSnvvgTIzgTJzSSbdIJkKtm83bcC3Q1vq1/6I+rU/ortfZw79dlDbZeUJJbXT65SaS2ifdLqIAuP69eusWbNG22VkKikpSdslFGh7du8idFYI/QYMZOPm73F2rsTn/XoTGxur7dJyTYmZnj9/hpOzM2PGTtR2KXni1InjdO76KWvWb2LxslWkJKfwed8Anj97pu3S3osS33tKzATKzCWZdINkKvhKlizJoKEjWLdpK+s2bqHWx7UZNngg165e0XZp70Vp7fSKUnOJgkE6XUSBMWjQICZOnEhiYmKW+8TFxREQEEDx4sWxsLDA09OTs2fPqrdPmjSJ6tWrs3TpUuzs7DAxMcHX15cnT55kOFdoaCi2trZYW1szcOBAkpOT1dvs7e2ZMmUK3bt3x8LCgr59+wKwdetWXF1dMTQ0xN7enjlz5mSbKSYmhnbt2mFmZoaFhQW+vr78888/GvtMnTqVEiVKYG5uTkBAAKNHj6Z69eoAHDx4kMKFC3Pv3j2NY4YOHUqDBg2yvfaHtHZ1OB0+8cWnfUcqOjgwbmIwRkZGbPtuq7ZLyzUlZqrfoBGBg4fh2ay5tkvJE18vXUFbnw5UdHDEuVIlgqeFcO/uHS5duqjt0t6LEt97SswEyswlmXSDZCr4GjX2pEHDRpQrZ085+/IEDh6GiYkJ586dffvBBZjS2ukVpebKDyqVSmuLrpJOF1FgDB06lJSUFBYsWJDlPp06deL+/fvs3r2bkydP4uHhQdOmTXn06JF6n6tXr/Ltt9+yY8cO9uzZw+nTpxkwYIDGeX799VeuXbvGr7/+yurVq4mIiMjwGFNoaChubm6cPn2a8ePHc/LkSXx9fenSpQvnz59n0qRJjB8/PsvHn9LS0mjXrh2PHj3iwIED7N27l+vXr9O5c2f1PuvWrWPatGnMnDmTkydPUrZsWRYvXqze3rBhQypUqMDatWvV65KTk1m3bh29evV6l9ua75KTkoi+dJHadeqq1+np6VG7dl3OnT2txcpyT4mZ/gvi4/8FwNLSUsuV5J4S33tKzATKzCWZdINk0j2pqans2b2T58+fUc2turbLyTWltpNSc4mCQ74yWhQYJiYmTJw4kS+//JI+ffpk+MXp0KFDHDt2jPv372NoaAi87BjZtm0bW7ZsUY9GefHiBWvWrKF06dIALFiwgFatWjFnzhxsbGwAKFKkCAsXLkRfX59KlSrRqlUr9u/fT58+fdTX8/T0ZMSIEerXfn5+NG3alPHjxwPg5OTEpUuXmD17Nv7+/hny7N+/n/Pnz3Pjxg3s7OwAWLNmDa6urhw/fpyaNWuyYMECevfuTc+ePQGYMGECP//8M/Hx8erz9O7dm/DwcEaOHAnAjh07ePHiBb6+vpnex8TExAyjhdL1DdX3LK89jntMamoq1tbWGuutra25oaPzaygxk9KlpaUROmM61d09cHB00nY5uabE954SM4Eyc0km3SCZdMeVPy/T47OuJCUlYmxiwpywhVSs6KDtsnJNqe2k1Fz5RXfHm2jPO4102b59+zsvQryP3r17Y21tzcyZMzNsO3v2LPHx8VhbW2NmZqZebty4wbVr19T7lS1bVt3hAlCnTh3S0tK4fPmyep2rqyv6+vrq17a2tty/f1/jejVq1NB4HR0dTb169TTW1atXjytXrmSYAPjV/nZ2duoOF4DKlStjZWVFdHQ0AJcvX6ZWrVoax7352t/fn6tXr3LkyBEAIiIi8PX1xdTUNMM1AUJCQrC0tNRYZs8MyXRfIZQiZOpkrl69wozZc7VdihBCCAGAffnybNzyPWvWbaKTbxcmjBvNtWtXtV2WEOIDe6eRLu/69boqlSrTXz6FeFeFChVi2rRp+Pv7ExgYqLEtPj4eW1tbIiMjMxxnZWWVo+sULlxY47VKpSItLU1jXVadGh9aiRIlaNOmDeHh4ZQvX57du3dneg9eGTNmDMOHD9dYl66fP6NcAIpYFUFfXz/DRGOxsbEUK1Ys366bn5SYSclmTJvMbwciWbn6G0r+/9FsukqJ7z0lZgJl5pJMukEy6Y7ChQ0oW7YcAJVdq3DxwgU2fLOGcRMna7my3FFqOyk1lyg43mmkS1pa2jst0uEi8kKnTp1wdXUlODhYY72Hhwf37t2jUKFCODg4aCyvfyDGxMRw584d9esjR46gp6eHs7Pze9Xl4uJCVFSUxrqoqCicnJw0Rs28vv+tW7e4deuWet2lS5eIi4ujcuXKADg7O3P8+HGN4958DRAQEMCmTZtYtmwZFStWzDDi5nWGhoZYWFhoLPn1aBFAYQMDXCq7cvTIYfW6tLQ0jh49TDU393y7bn5SYiYlSk9PZ8a0yfyyfx9LV0VQukwZbZf03pT43lNiJlBmLsmkGyST7kpPT9Ppb8RUajspNVd+0VOptLboKpnTRRRIM2bMwMvLS2Nds2bNqFOnDj4+PsyaNQsnJyfu3LnDzp07ad++vfpxICMjI3r06EFoaChPnz5l8ODB+Pr6qudzya0RI0ZQs2ZNpkyZQufOnTl8+DALFy5k0aJFme7frFkzqlatip+fH2FhYaSkpDBgwAAaNWqkrnXQoEH06dOHGjVqULduXTZt2sS5c+eoUKGCxrm8vLywsLBg6tSpTJ5c8P51pFuPnoz/chSurlWoUrUa36xdzfPnz/Fp30HbpeWaEjM9e5ZATEyM+vXt23/zxx/RWFpaYmtbSouV5U7I1Mns3vUjX83/GlNTUx4+fACAmZk5RkZGWq4u95T43lNiJlBmLsmkGyRTwTc/bA716jfE1taWhIQEdu/6kRPHj7FoyQptl/ZelNZOryg1lygYctXpkpCQwIEDB4iJicnQWzt48OA8KUz8t3l6euLp6cnPP/+sXqdSqdi1axdjx46lZ8+ePHjwABsbGxo2bEjJkiXV+zk4ONChQwdatmzJo0ePaN26dZYdIznh4eHBt99+y4QJE5gyZQq2trZMnjw500l0X9X7ww8/MGjQIBo2bIienh4tWrTQ+HYmPz8/rl+/TlBQkHpyXH9/f44dO6ZxLj09Pfz9/Zk+fTrdu3d/7yx5rYV3Sx4/esSihfN5+PABzpVcWLR0BdY6PCRTiZkuXrhAn17/e//MmfVyrp827dozZdoMbZWVa5s3bQCgT0/NPxPBU6fT1kd3/5KkxPeeEjOBMnNJJt0gmQq+R48eMX7sKB4+eICZuTmOjs4sWrKC2nWzHq2sC5TWTq8oNVd+0OEBJ1qjSk9PT8/JAadPn6Zly5Y8e/aMhIQEihYtysOHDzExMaFEiRJcvy4zPAvtmTRpEtu2bePMmTPaLiXXmjdvjo2NjcbXRMPLSYYfPHiQqwmrX6TkVXUiP+Xs01g3pKO8ULo8vFUIIcT/pKUp8GeUnvyM0hVGOvrMSZ9vL2jt2st9q2jt2u8jx009bNgw2rRpw5IlS7C0tOTIkSMULlyYzz77jCFDhuRHjUIo1rNnz1iyZAleXl7o6+uzYcMG9u3bx969e9X7PHnyhPPnz7N+/Xr5hjAhhBBCCCGE1qjkH59y7J0m0n3dmTNnGDFiBHp6eujr65OYmIidnR2zZs3iyy+/zI8ahVCsV49MNWzYkI8++ogdO3awdetWmjVrpt6nXbt2/N///R/9+/enefPmWqxWCCGEEEIIIURO5HikS+HChdHTe9lXU6JECWJiYnBxccHS0lLjW1qE0IZJkyYxadIkbZfxzoyNjdm3b1+2+2T39dBCCCGEEEIIIQquHHe6uLu7c/z4cRwdHWnUqBETJkzg4cOHrF27lipVdPMZKyGEKAiUOFpTifPUpCkwlMxTI4R4m+TUNG2XkOf0Zf4TIXJM/sqQczl+vGj69OnY2toCMG3aNIoUKcLnn3/OgwcPWLZsWZ4XKIQQQgghhBBCCKGLcjzSpUaNGur/L1GiBHv27MnTgoQQQgghhBBCCFHwyOjYnMvxSBchROYaN27M0KFDtV2GEEIIIYQQQogCIsedLuXLl6dChQpZLkLktcjISFQqFa6urqSmpmpss7KyIiIiQjuFCQ0b16/Du7knNd2r4telE+fPndN2Se9NMhVsK5cvxa/zJ9Sr5YFnw7oMGzyQmzeua7us96LETK8o6b33OiXmkky6QUmZli5aSI1qLhpLx7YttV3We5HPc92j1FxC+3Lc6TJ06FCGDBmiXgYMGECdOnV48uQJffv2zY8ahQDg+vXrrFmz5oNfNykp6YNfU9fs2b2L0Fkh9BswkI2bv8fZuRKf9+tNbGystkvLNclU8J06cZzOXT9lzfpNLF62ipTkFD7vG8DzZ8+0XVquKTETKO+994oSc0km3aDETBUqOrDnl4PqZeXqddou6b3I57luUWqu/KBSaW/RVTnudHm9w2XIkCEEBQWxbt06Jk+ezOXLl/OjRiEAGDRoEBMnTiQxMTHLfeLi4ggICKB48eJYWFjg6enJ2bNn1dv9/f3x8fHROGbo0KE0btxY/bpx48YEBgYydOhQihUrhpeXFwAHDhygVq1aGBoaYmtry+jRo0lJScmylsePH9O9e3eKFCmCiYkJ3t7eXLlyRWOf5cuXY2dnh4mJCe3bt2fu3LlYWVkBcPPmTfT09Dhx4oTGMWFhYZQrV460tILzLQJrV4fT4RNffNp3pKKDA+MmBmNkZMS277Zqu7Rck0wF39dLV9DWpwMVHRxxrlSJ4Gkh3Lt7h0uXLmq7tFxTYiZQ3nvvFSXmkky6QYmZChUqRLFixdWLVZEi2i7pvcjnuW5Rai5RMOTZnC7e3t5s3SpvSpF/hg4dSkpKCgsWLMhyn06dOnH//n12797NyZMn8fDwoGnTpjx69ChH11q9ejUGBgZERUWxZMkSbt++TcuWLalZsyZnz55l8eLFrFy5kqlTp2Z5Dn9/f06cOMH27ds5fPgw6enptGzZkuTkZACioqLo378/Q4YM4cyZMzRv3pxp06apj7e3t6dZs2aEh4drnDc8PBx/f3/09ArGlEzJSUlEX7pI7Tp11ev09PSoXbsu586e1mJluSeZdFN8/L8AWFpaarmSvKOETEp97ykxl2TSDUrMBBDz11+0aNqQdt7NGTd6JPfu3tF2SXlKPs8LLqXmyi8qlUpri67Ks9/atmzZQtGiRfPqdEJkYGJiwsSJEwkJCeHJkycZth86dIhjx46xefNmatSogaOjI6GhoVhZWbFly5YcXcvR0ZFZs2bh7OyMs7MzixYtws7OjoULF1KpUiV8fHwIDg5mzpw5mY44uXLlCtu3b2fFihU0aNAANzc31q1bx+3bt9m2bRsACxYswNvbm6CgIJycnBgwYADe3t4a5wkICGDDhg3q0T2nTp3i/Pnz9OzZM8vaExMTefr0qcaS3eig9/U47jGpqalYW1trrLe2tubhw4f5dt38JJl0T1paGqEzplPd3QMHRydtl5MnlJJJqe89JeaSTLpBiZmqVK3GpKnTWbB4OaPHTeTO7b8J8P+MhIQEbZeWJ+TzvGBTai5RcOS408Xd3R0PDw/14u7ujq2tLV9++SVffvllftQohFrv3r2xtrZm5syZGbadPXuW+Ph4rK2tMTMzUy83btzg2rVrObrORx99pPE6OjqaOnXqaPSw1qtXj/j4eP7+++8Mx0dHR1OoUCE+/vhj9Tpra2ucnZ2Jjo4G4PLly9SqVUvjuDdf+/j4oK+vz/fffw9AREQETZo0wd7ePsvaQ0JCsLS01Fhmzwx5t+BC6KiQqZO5evUKM2bP1XYpeUaJmYQQIjP1GjSk2f+1wNHJmTr16jPv66X8+++/7P1pt7ZLyxPyeS6URE+Li64qlNMD2rVrp/GLp56eHsWLF6dx48ZUqlQpT4sT4k2FChVi2rRp+Pv7ExgYqLEtPj4eW1tbIiMjMxz3ap4UPT090tPTNba9etzndaampnlW8/swMDCge/fuhIeH06FDB9avX8+8efOyPWbMmDEMHz5cY126vmG+1VjEqgj6+voZJhqLjY2lWLFi+Xbd/CSZdMuMaZP57UAkK1d/Q0kbG22XkyeUlEmp7z0l5pJMukGJmd5kbmFBuXL2/H0rRtulvDf5PC/4lJpLFBw57jCaNGkSEydOVC/jx4+nf//+0uEiPphOnTrh6upKcHCwxnoPDw/u3btHoUKFcHBw0FhefWAWL16cu3fvahx35syZt17TxcVFPS/LK1FRUZibm1OmTJlM909JSeHo0aPqdbGxsVy+fJnKlSsD4OzszPHjxzWOe/M1vHzEaN++fSxatIiUlBQ6dOiQba2GhoZYWFhoLIaG+dfpUtjAAJfKrhw9cli9Li0tjaNHD1PNzT3frpufJJNuSE9PZ8a0yfyyfx9LV0VQOpM/i7pGiZmU+N4DZeaSTLpBiZne9OxZAn/fukWxYsW1XUquyee57lBqLlFw5Hiki76+Pnfv3qVEiRIa62NjYylRogSpqal5VpwQWZkxY4b6W4VeadasGXXq1MHHx4dZs2bh5OTEnTt32LlzJ+3bt6dGjRp4enoye/Zs1qxZQ506dfjmm2+4cOEC7u7Zf6AOGDCAsLAwBg0aRGBgIJcvX2bixIkMHz480wltHR0dadeuHX369GHp0qWYm5szevRoSpcuTbt27YCX38bUsGFD5s6dS5s2bfjll1/YvXt3hkmiXFxcqF27NqNGjaJXr14YGxu/593Le9169GT8l6Nwda1ClarV+Gbtap4/f45P++w7iAoyyVTwhUydzO5dP/LV/K8xNTXl4cMHAJiZmWNkZKTl6nJHiZlAee+9V5SYSzLpBqVlCgudRYPGjbG1Lc2DB/dZumgBevp6eHm30nZpuSaf57pFqbnygy5PaKstOe50efPRjFcSExMxMDB474KEeBeenp54enry888/q9epVCp27drF2LFj6dmzJw8ePMDGxoaGDRtSsmRJALy8vBg/fjxffPEFL168oFevXnTv3p3z589ne73SpUuza9cuRo4ciZubG0WLFqV3796MGzcuy2PCw8MZMmQIrVu3JikpiYYNG7Jr1y4KFy4MvJwTZsmSJQQHBzNu3Di8vLwYNmwYCxcuzHCu3r178/vvv9OrV6/c3K5818K7JY8fPWLRwvk8fPgA50ouLFq6AmsdHpIpmQq+zZs2ANCnZ3eN9cFTp9PWRzf/kqTETKC8994rSswlmXSD0jL9c/8eY0cF8SQujiJFiuLm4UHENxsposNf0iGf57pFqblEwaBKz6oX5Q3z588HYNiwYUyZMgUzMzP1ttTUVA4ePMjNmzc5fVq+VkuI3OrTpw9//PEHv/32m8b6KVOmsHnzZs6dO5er875IyYvqhMi5tHf7ESO0TE/+1UoI8RbJqRm/rVHX6esp77NPPs91h1GOhz8UDEN/+ENr1w5rp5tTmrxzU3/11VfAy5EuS5YsQV9fX73NwMAAe3t7lixZkvcVCqFgoaGhNG/eHFNTU3bv3s3q1atZtGiRent8fDw3b95k4cKFTJ06VYuVCiGEEEIIIYTIqXfudLlx4wYATZo04bvvvqNIkSL5VpQQ/xXHjh1j1qxZ/Pvvv1SoUIH58+cTEBCg3h4YGMiGDRvw8fEpsI8WCSGEEEIIIYTI3Ds/XiSE0F3yeJHQFnm8SDfIcHQhxNvI40W6QT7PdYeuPl40fLv2Hi+a21Y3Hy/K8VdGd+zYkZkzZ2ZYP2vWLDp16pQnRQkhhBBCCCGEEELouhx3uhw8eJCWLVtmWO/t7c3BgwfzpCghhBDKoFLgf3oq5S3p6ShyEULkncL6eopbtP3zJD/+0/bnrnyeK59KpdLakhMHDx6kTZs2lCpVCpVKxbZt2zS2p6enM2HCBGxtbTE2NqZZs2ZcuXJFY59Hjx7h5+eHhYUFVlZW9O7dm/j4+Bzfsxx3usTHx2f61dCFCxfm6dOnOS5ACCGEEEIIIYQQIq8kJCTg5ubG119/nen2WbNmMX/+fJYsWcLRo0cxNTXFy8uLFy9eqPfx8/Pj4sWL7N27lx9//JGDBw/St2/fHNeS4yfJqlatyqZNm5gwYYLG+o0bN1K5cuUcFyCEEEIIIYQQQoiCT1emQvL29sbb2zvTbenp6YSFhTFu3DjatWsHwJo1ayhZsiTbtm2jS5cuREdHs2fPHo4fP06NGjUAWLBgAS1btiQ0NJRSpUq9cy05Hukyfvx4pkyZQo8ePVi9ejWrV6+me/fuTJ06lfHjx+f0dIo1adIkqlevru0yshUZGYlKpSIuLk7bpSiGvb09YWFh2i5DCCGEEEIIIRQlMTGRp0+faiyJiYk5Ps+NGze4d+8ezZo1U6+ztLTk448/5vDhwwAcPnwYKysrdYcLQLNmzdDT0+Po0aM5ul6OO13atGnDtm3buHr1KgMGDGDEiBHcvn2bX375BQcHh5yeTuekpqby1VdfUbVqVYyMjChSpAje3t5ERUXl6XVy22mTk+Pq1q3L3bt3sbS0zPF13tVff/2FsbFxts++bd26FU9PT4oUKYKxsTHOzs706tWL06dP51tdIu9tXL8O7+ae1HSvil+XTpw/d07bJb03yVTwnTxxnMED+9O8SX2qV3Hml/37tF1SnpB20h1KayuQTLpCMhV8SvzsU2KmV5T2/lOikJAQLC0tNZaQkJAcn+fevXsAlCxZUmN9yZIl1dvu3btHiRIlNLYXKlSIokWLqvd5VznudAFo1aoVUVFRJCQkcP36dXx9fQkKCsLNzS03p9MZ6enpdOnShcmTJzNkyBCio6OJjIzEzs6Oxo0bZ5icpyBLTk7GwMAAGxubHE9KlBM//PADTZo0wczMLNPto0aNonPnzlSvXp3t27dz+fJl1q9fT4UKFRgzZky+1SXy1p7duwidFUK/AQPZuPl7nJ0r8Xm/3sTGxmq7tFyTTLrh+fNnODk7M2bsRG2XkmeknXSHEttKMukGyaQblPjZp8RMoMz3X35RqbS3jBkzhidPnmgsuvA7Y646XeDlbMA9evSgVKlSzJkzB09PT44cOZKXtRU43377LVu2bGHNmjUEBARQvnx53NzcWLZsGW3btiUgIICEhASNY5YuXYqdnR0mJib4+vry5MkT9bbIyEhq1aqFqakpVlZW1KtXj7/++ouIiAiCg4M5e/aseqbmiIgIAOLi4ggICKB48eJYWFjg6enJ2bNnAbI9TqVSsXjxYtq2bYupqSnTpk3L9PGiqKgoGjdujImJCUWKFMHLy4vHjx8DsGXLFqpWrYqxsTHW1tY0a9YsQ943/fDDD7Rt2zbTbUeOHGHWrFnMnTuXuXPn0qBBA8qWLctHH33EuHHj2L17NwA3b95ET0+PEydOaBwfFhZGuXLlSEtLU2fZv38/NWrUwMTEhLp163L58uUM9Xh4eGBkZESFChUIDg4mJSVFvT0uLo5+/fpRsmRJjIyMqFKlCj/++KN6+9atW3F1dcXQ0BB7e3vmzJmTbf6YmBjatWuHmZkZFhYW+Pr68s8//2jsM3XqVEqUKIG5uTkBAQGMHj1aPVrp4MGDFC5cOENv6tChQ2nQoEG21/6Q1q4Op8Mnvvi070hFBwfGTQzGyMiIbd9t1XZpuSaZdEP9Bo0IHDwMz2bNtV1KnpF20h1KbCvJpBskk25Q4mefEjOBMt9/SmRoaIiFhYXGYmhomOPz2NjYAGT4veyff/5Rb7OxseH+/fsa21NSUnj06JF6n3eVo06Xe/fuMWPGDBwdHenUqRMWFhYkJiaybds2ZsyYQc2aNXN0cV2zfv16nJycaNOmTYZtI0aMIDY2lr1796rXXb16lW+//ZYdO3awZ88eTp8+zYABA4CXDebj40OjRo04d+4chw8fpm/fvqhUKjp37syIESNwdXXl7t273L17l86dOwPQqVMn7t+/z+7duzl58iQeHh40bdqUR48eZXscvHz0qH379pw/f55evXplyHDmzBmaNm1K5cqVOXz4MIcOHaJNmzakpqZy9+5dunbtSq9evdQjfDp06EB6Nt/hFhcXx6FDh7LsdNmwYQNmZmbqe/KmVyNw7O3tadasGeHh4Rrbw8PD8ff3R0/vf2/jsWPHMmfOHE6cOEGhQoU0cv722290796dIUOGcOnSJZYuXUpERATTpk0DIC0tTf2o2DfffMOlS5eYMWMG+vr6AJw8eRJfX1+6dOnC+fPnmTRpEuPHj1d3bL0pLS2Ndu3a8ejRIw4cOMDevXu5fv26RpusW7eOadOmMXPmTE6ePEnZsmVZvHixenvDhg2pUKECa9euVa9LTk5m3bp1mbahNiQnJRF96SK169RVr9PT06N27bqcO6ubj4hJJqEt0k66Q4ltJZl0g2QSIm/J+y9n9FQqrS15pXz58tjY2LB//371uqdPn3L06FHq1KkDQJ06dYiLi+PkyZPqfX755RfS0tL4+OOPc3S9d/72ojZt2nDw4EFatWpFWFgYLVq0QF9fnyVLluTogrrszz//xMXFJdNtr9b/+eef6nUvXrxgzZo1lC5dGng523GrVq2YM2cOBgYGPHnyhNatW1OxYkWNcwCYmZlRqFAhjV60Q4cOcezYMe7fv6/u0QsNDWXbtm1s2bKFvn37ZnrcK59++ik9e/ZUv75+/brG9lmzZlGjRg0WLVqkXufq6grAqVOnSElJoUOHDpQrVw54+U1W2dm1axfVqlXLcmbnP//8kwoVKlCo0P/ehnPnztX4Zqzbt29jaWlJQEAA/fv3Z+7cuRgaGnLq1CnOnz/PDz/8oHHOadOm0ahRIwBGjx5Nq1atePHiBUZGRgQHBzN69Gh69OgBQIUKFZgyZQpffPEFEydOZN++fRw7dozo6GicnJzU+7xeW9OmTdUTRjs5OXHp0iVmz56Nv79/hnz79+/n/Pnz3LhxAzs7O+DlrNiurq4cP36cmjVrsmDBAnr37q1ulwkTJvDzzz9rzIHTu3dvwsPDGTlyJAA7duzgxYsX+Pr6ZnpfExMTM0wola5vmKte4HfxOO4xqampWFtba6y3trbmxo3rWRxVsEkmoS3STrpDiW0lmXSDZBIib8n7T5ni4+O5evWq+vWNGzc4c+YMRYsWpWzZsgwdOpSpU6fi6OhI+fLlGT9+PKVKlcLHxwd4+bt5ixYt6NOnD0uWLCE5OZnAwEC6dOmSo28ughyMdNm9eze9e/cmODiYVq1aqf/1/78mu5Edbypbtqy6wwVe9palpaVx+fJlihYtir+/P15eXrRp04Z58+Zx9+7dbM939uxZ4uPjsba2xszMTL3cuHGDa9euvbWe12dezsyrkS6ZcXNzo2nTplStWpVOnTqxfPly9WNHWcnu0aKs9OrVizNnzrB06VISEhLU99vHxwd9fX2+//574OWjVE2aNMHe3l7j+GrVqqn/39bWFkA9LOzs2bNMnjxZ49716dOHu3fv8uzZM86cOUOZMmXUHS5vio6Opl69ehrr6tWrx5UrV0hNTc10fzs7O3WHC0DlypWxsrIiOjoagMuXL1OrVi2N49587e/vz9WrV9WP70VERODr64upqWmmdWY2wdTsmTmfYEoIIYQQQgghdNGJEydwd3fH3d0dgOHDh+Pu7q7+B/4vvviCQYMG0bdvX2rWrEl8fDx79uzByMhIfY5169ZRqVIlmjZtSsuWLalfvz7Lli3LcS3vPNLl0KFDrFy5ko8++ggXFxe6detGly5dcnxBXebk5KT+ZflNr9Zn9Qt7ZsLDwxk8eDB79uxh06ZNjBs3jr1791K7du1M94+Pj8fW1pbIyMgM26ysrN56vax+SX/F2Ng4y236+vrs3buX33//nZ9//pkFCxYwduxYjh49Svny5TPsn5SUxJ49e/jyyy+zPKejoyOHDh0iOTmZwoULq3NYWVnx999/a+xrYGBA9+7dCQ8Pp0OHDqxfv5558+ZlOOer88D/Hk9KS0sDXt6/4OBgOnTokOE4IyOjbPNrU4kSJWjTpg3h4eGUL1+e3bt3Z/oeeGXMmDEMHz5cY126fv6McgEoYlUEfX39DBONxcbGUqxYsXy7bn6STEJbpJ10hxLbSjLpBskkRN6S91/O5HpS2A+sjz5GMQABAABJREFUcePG2Q6YUKlUTJ48mcmTJ2e5T9GiRVm/fv171/LO96x27dosX76cu3fv0q9fPzZu3EipUqVIS0tj7969/Pvvv+9dTEHXpUsXrly5wo4dOzJsmzNnDtbW1jRv/r9JpWJiYrhz54769ZEjR9DT08PZ2Vm9zt3dnTFjxvD7779TpUoVdaMaGBhkGD3h4eHBvXv3KFSoEA4ODhrLqw+EzI57V9WqVdN4ru1NKpWKevXqERwczOnTpzEwMFCPPHlTZGQkRYoUyfYbrbp27Up8fLzG40zZCQgIYN++fSxatEj9qFNOeHh4cPny5Qz3zsHBAT09PapVq8bff/+t8YjY61xcXDJ8NXhUVBROTk6ZjvxycXHh1q1b3Lp1S73u0qVLxMXFUblyZQCcnZ05fvy4xnFvvn6VfdOmTSxbtoyKFStmGHHzuryaYOpdFTYwwKWyK0ePHFavS0tL4+jRw1Rzc8+36+YnySS0RdpJdyixrSSTbpBMQuQtef+J/PbOI11eMTU1pVevXvTq1YvLly+zcuVKZsyYwejRo2nevDnbt2/PjzoLhC5durB582Z69OjB7Nmzadq0KU+fPuXrr79m+/btbN68WWM0iZGRET169CA0NJSnT58yePBgfH19sbGx4caNG+pvPSpVqhSXL1/mypUrdO/eHXg5eeyr587KlCmDubk5zZo1o06dOvj4+DBr1iycnJy4c+cOO3fupH379tSoUSPT4971F+4xY8ZQtWpVBgwYQP/+/TEwMODXX3+lU6dOXLt2jf379/N///d/lChRgqNHj/LgwYMs57jZvn37Wx8tqlOnDiNGjGDEiBH89ddfdOjQATs7O+7evcvKlStRqVQak+S6uLhQu3ZtRo0aRa9evXI8MmXChAm0bt2asmXL8sknn6Cnp8fZs2e5cOECU6dOpVGjRjRs2JCOHTsyd+5cHBwc+OOPP1CpVLRo0YIRI0ZQs2ZNpkyZQufOnTl8+DALFy7MstOoWbNmVK1aFT8/P8LCwkhJSWHAgAE0atRI/ajXoEGD6NOnDzVq1KBu3bps2rSJc+fOacwlA+Dl5YWFhQVTp07NtjdWW7r16Mn4L0fh6lqFKlWr8c3a1Tx//hyf9jnrGCtIJJNuePYsgZiYGPXr27f/5o8/orG0tMTWNmfP2xYU0k66Q4ltJZl0g2TSDUr87FNiJlDm+y+/5OF8tv8ZOe50eZ2zszOzZs0iJCSEHTt2sGrVqryqq0BSqVR8++23hIWF8dVXXzFgwACMjIyoU6cOkZGRGUYfODg40KFDB1q2bMmjR49o3bq1+hd0ExMT/vjjD1avXk1sbCy2trYMHDiQfv36AdCxY0e+++47mjRpQlxcnPqbenbt2sXYsWPp2bMnDx48wMbGhoYNG1KyZMlsj3sXTk5O/Pzzz3z55ZfUqlULY2NjPv74Y7p27YqFhQUHDx4kLCyMp0+fUq5cOebMmYO3t3em59q+ffs7vR9CQ0OpVasWixcvZtWqVTx79oySJUvSsGFDDh8+jIWFhcb+vXv35vfff8/VN/d4eXnx448/MnnyZGbOnEnhwoWpVKkSAQEB6n22bt1KUFAQXbt2JSEhAQcHB2bMmAG8HCnz7bffMmHCBKZMmYKtrS2TJ0/O8v6qVCp++OEHBg0aRMOGDdHT06NFixYsWLBAvY+fnx/Xr18nKChIPTmuv78/x44d0ziXnp4e/v7+TJ8+Xd0xV5C08G7J40ePWLRwPg8fPsC5kguLlq7AWoeHZEom3XDxwgX69Prfn4k5s17OX9SmXXumTJuhrbLei7ST7lBiW0km3SCZdIMSP/uUmAmU+f4TBYcqPSczwwrxDk6dOoWnpycPHjzQmGMlL0yZMoXNmzdz7ty5PD1vQdK8eXNsbGw0viYaXnY4PXjwIFejyV6k5FV1QuSMEn/CKPFfeJTYTqDMthJC5B2lfvYpkRI/z43ea/iD9ozfc0Vr157SwlFr134fOtrUoiBLSUlhwYIFedrhEh8fz82bN1m4cCFTp07Ns/Nq27Nnz1iyZAleXl7o6+uzYcMG9u3bx969e9X7PHnyhPPnz7N+/XpFP74nhBBCCCGEEEojnS4iz9WqVSvD1x6/r8DAQDZs2ICPj0+uHi0qqFQqFbt27WLatGm8ePECZ2dntm7dSrNmzdT7tGvXjmPHjtG/f3+NiZqFEEIIIYQQQhRs8niREP8B8niR0BYl/oRR4hBnJbYTKLOthBB5R6mffUqkxM9zXX28aMJP2nu8aLKXPF4khBBCCB2kxL/MAiSlpGm7hDxnUEjv7TsJkQ+U2EGhxM8+JbaTELpOOl2EEEIIIYQQQgjxVnoK7KzMb/LPJUIIIYQQQgghhBD5QDpdhBBCCCGEEEIIIfKBdLqIAmvZsmXY2dmhp6dHWFhYpusmTZpE9erVtVqnEEIIIYQQQvwX6KlUWlt0lXS6iA8qNTWVr776iqpVq2JkZESRIkXw9vYmKipKY7+nT58SGBjIqFGjuH37Nn379s10XVBQEPv378/XmlUqFUZGRvz1118a6318fPD393/n80RGRqJSqYiLi8vbAguIjevX4d3ck5ruVfHr0onz585pu6T3JpkKvpMnjjN4YH+aN6lP9SrO/LJ/n7ZLyhNKaydQXqa23k2p6eaSYZk5fbK2S3tvSmsrkEy6QD7PdYNS2wmU11ai4JBOF/HBpKen06VLFyZPnsyQIUOIjo4mMjISOzs7GjduzLZt29T7xsTEkJycTKtWrbC1tcXExCTTdWZmZlhbW+d77SqVigkTJuT7dXTVnt27CJ0VQr8BA9m4+XucnSvxeb/exMbGaru0XJNMuuH582c4OTszZuxEbZeSZ5TYTkrMtHrdZnbvP6heFi5dCUCz5i20XNn7UWJbSSbdIJ/nukGJ7QTKbKv8olJpb9FV0ukiPphvv/2WLVu2sGbNGgICAihfvjxubm4sW7aMtm3bEhAQQEJCAhEREVStWhWAChUqoFKpMl138+bNTB8vWrVqFa6urhgaGmJra0tgYKB6W1xcHAEBARQvXhwLCws8PT05e/bsW2sPDAzkm2++4cKFC1nuk5iYyODBgylRogRGRkbUr1+f48ePA3Dz5k2aNGkCQJEiRVCpVOpRMmlpaYSEhFC+fHmMjY1xc3Njy5Yt6vM+fvwYPz8/ihcvjrGxMY6OjoSHh7/9hn9Aa1eH0+ETX3zad6SigwPjJgZjZGTEtu+2aru0XJNMuqF+g0YEDh6GZ7Pm2i4lzyixnZSYqUjRohQrVly9HDoYSRm7snjUqKnt0t6LEttKMukG+TzXDUpsJ1BmW4mCQzpdxAezfv16nJycaNOmTYZtI0aMIDY2lr1799K5c2f27Xs5VPHYsWPcvXuXTp06ZVhnZ2eX4TyLFy9m4MCB9O3bl/Pnz7N9+3YcHBzU2zt16sT9+/fZvXs3J0+exMPDg6ZNm/Lo0aNsa69Xrx6tW7dm9OjRWe7zxRdfsHXrVlavXs2pU6dwcHDAy8uLR48eYWdnx9atLz+0L1++zN27d5k3bx4AISEhrFmzhiVLlnDx4kWGDRvGZ599xoEDBwAYP348ly5dYvfu3URHR7N48WKKFSuWbb0fUnJSEtGXLlK7Tl31Oj09PWrXrsu5s6e1WFnuSSahLUpsJyVmelNychK7d+6grU8HVDr8T3FKbCvJJLRF2kl3SFvljJ5Ke4uuKqTtAsR/x59//omLi0um216t//PPP/Hx8VE/MlS8eHFsbGwAMl33pqlTpzJixAiGDBmiXlez5st/dTx06BDHjh3j/v37GBoaAhAaGsq2bdvYsmULffv2zbb+kJAQqlWrxm+//UaDBg00tiUkJLB48WIiIiLw9vYGYPny5ezdu5eVK1cycuRIihYtCkCJEiWwsrICXo6OmT59Ovv27aNOnTrAy5E8hw4dYunSpTRq1IiYmBjc3d2pUaMGAPb29tnWmZiYSGJiosa6dH1Ddea89jjuMampqRke87K2tubGjev5cs38JpmEtiixnZSY6U2Rv+wn/t9/ad22vbZLeS9KbCvJJLRF2kl3SFuJ/CYjXcQHlZ6enm/nvn//Pnfu3KFp06aZbj979izx8fFYW1tjZmamXm7cuMG1a9feev7KlSvTvXv3TEe7XLt2jeTkZOrVq6deV7hwYWrVqkV0dHSW57x69SrPnj2jefPmGjWtWbNGXdPnn3/Oxo0bqV69Ol988QW///57tnWGhIRgaWmpscyeGfLWfEIIIXJn+/dbqVOvAcVLlNB2KUIIIYQoYGSki/hgnJycsuyAeLXeyckp1+c3NjbOdnt8fDy2trZERkZm2PZq5MnbBAcH4+TkpDHp7/uIj48HYOfOnZQuXVpj26uRKd7e3vz111/s2rWLvXv30rRpUwYOHEhoaGim5xwzZgzDhw/XWJeunz+jXACKWBVBX18/w0RjsbGxBeoxqJyQTEJblNhOSsz0urt3bnPs6GFmzZ2v7VLemxLbSjIJbZF20h3SVjmjQoef89ESGekiPpguXbpw5coVduzYkWHbnDlzsLa2pnnz3E/KZW5ujr29fZZfIe3h4cG9e/coVKgQDg4OGsu7fqDa2dkRGBjIl19+SWpqqnp9xYoVMTAw0Pjq6+TkZI4fP07lypUBMDAwANA4rnLlyhgaGhITE5OhptfnrClevDg9evTgm2++ISwsjGXLlmVZo6GhIRYWFhpLfj1aBFDYwACXyq4cPXJYvS4tLY2jRw9Tzc09366bnyST0BYltpMSM71uxw/fU6RoUeo1aKTtUt6bEttKMgltkXbSHdJWIr/JSBfxwXTp0oXNmzfTo0cPZs+eTdOmTXn69Clff/0127dvZ/PmzZiamr7XNSZNmkT//v0pUaIE3t7e/Pvvv0RFRTFo0CCaNWtGnTp18PHxYdasWTg5OXHnzh127txJ+/bt1XOmvM2YMWNYvnw5N27coHPnzgCYmpry+eefq+duKVu2LLNmzeLZs2f07t0bgHLlyqFSqfjxxx9p2bIlxsbGmJubExQUxLBhw0hLS6N+/fr/j737Doviev8+/l6QXhVUUFBAqthbxILGErti1xjFGg0ae28oFixYY48G7MauSSxfSzBK1Kixi8ReSVSsiAICzx8+7M8NiNKy7Hi/vOa63JnZmfuzZ1ngcOYMz549IyIiAktLS/z9/Rk/fjwVK1bE29ub+Ph4fv755/fOjaMtnf27MW70CLy9S1GqdBnWrF7Jq1ev8GvZStulZZlk0g1xcS+5ffu2+vG9e3e5fDkSKysr7O2LaLGyrFNiOykxE7z9ofynHVtp0syPfPmU8SOVEttKMukG+TzXDUpsJ1BmW+UWXZ7QVluU8ROC0AkqlYqNGzcyd+5c5syZQ0BAAMbGxvj4+BAeHq4xH0pW+fv78/r1a+bMmcPQoUOxtbWlTZs26vPv2rWLMWPG0K1bNx4+fIidnR2+vr4ULlz4o89RoEABRowYwejRozXWT5s2jeTkZDp37syLFy+oVKkSe/fuJX/+/AAULVqUiRMnMnLkSLp160aXLl0ICwtj0qRJFCxYkODgYK5fv461tTUVKlRQH9/Q0JBRo0Zx8+ZNTExMqFmzJhs2bMj2a5WTGjZqzJPHj1m0YD6PHj3Ew9OLRUuXY6PDQzIlk264eOECvbp3UT+eNePt/EXNWrRk0pRp2iorW5TYTkrMBPDHsaP8HR1Ncz/l/FCuxLaSTLpBPs91gxLbCZTZViLvUKXk5symQog84fUbbVcgPlVK/A6jw3cE/uQkvEnWdgk5zjCfXBkutEM+z3WDEtsJlNlWxjo6/GHawQ/fgCS3jKxTQmvnzg4dbWohhBBCCCGEEEL8l+TyosyTP5cIIYQQQgghhBBC5AIZ6SKEEEIIIYQQQogPUinxWq9cJp0uQgghhFAkmf9EiJyjxN+zlDj/iRLbSQhdJ50uQgghhBBCCCGE+CCZ0yXz5E9AQgghhBBCCCGEELlAOl3Ef6Jr1674+fll+nlhYWFYW1tn+/wqlYrt27dn+zgZuXnzJiqVijNnzuTqeYQQQgghhBBC6AbpdBHvlZSUxJw5cyhdujTGxsbkz5+fRo0aERERkSvnc3JyYu7cublybJH7NqxbS6P6dahcvjSdOrTl/Llz2i4p2yRT3nfq5An69+1D/c9rUK6UBwcP7Nd2STlCae0EyswEyswlmXSDZMr75HuUblFqrpymUmlv0VXS6SLSlZKSQocOHQgKCmLAgAFERkYSHh6Oo6MjtWvXzvVRI0K37Nm9i5AZwfQO6MuGTdvw8PDkm949iImJ0XZpWSaZdMOrV3G4e3gwakygtkvJMUpsJyVmAmXmkky6QTLpBvkepTuUmkvkDdLpItK1ceNGNm/ezKpVq+jZsyfOzs6ULVuWZcuW0bx5c3r27MnLly8BmDBhAuXKlWPp0qU4OjpiampKu3btePbsWZrjhoSEYG9vj42NDX379iUxMRGA2rVrc+vWLQYNGoRKpUpzK7K9e/fi5eWFubk5DRs2JDo6Wr3txIkT1K9fH1tbW6ysrKhVqxZ//vnne7OlXga0ceNGatasiYmJCZUrV+avv/7ixIkTVKpUCXNzcxo1asTDhw/Vz0tOTiYoKAgHBweMjIwoV64ce/bsyfB1PHToEFWqVMHIyAh7e3tGjhzJmzdv1NtfvHhBp06dMDMzw97enjlz5lC7dm0GDhwIQFBQEKVKlUpz3HLlyjFu3LgMz/1fWr0ylFZt2uHXsjUlXF0ZGzgRY2Njtm/dou3Sskwy6YYaNWvRr/8g6tSrr+1ScowS20mJmUCZuSSTbpBMukG+R+kOpebKDXoqldYWXSWdLiJd69atw93dnWbNmqXZNmTIEGJiYti3b5963dWrV9m4cSM//fQTe/bs4fTp0wQEBGg879dff+XatWv8+uuvrFy5krCwMMLCwgDYunUrDg4OBAUFER0drdGpEhcXR0hICKtXr+a3337j9u3bDB06VL39xYsX+Pv7c+TIEY4dO4abmxuNGzfmxYsXGWYMDAxk7Nix/Pnnn+TLl48vv/yS4cOHM2/ePA4fPszVq1cZP368ev958+Yxa9YsQkJCOHfuHA0aNKB58+ZcuXIl3ePfu3ePxo0bU7lyZc6ePcvixYtZsWIFkydPVu8zePBgIiIi2LlzJ/v27ePw4cMaHUbdu3cnMjKSEydOqNedPn2ac+fO0a1btwzz/VcSExKIvHSRqj7V1Ov09PSoWrUa586e1mJlWSeZhLYosZ2UmAmUmUsy6QbJJLRFqe2k1Fwi75BbRot0/fXXX3h5eaW7LXX9X3/9pV73+vVrVq1aRdGiRQH47rvvaNKkCbNmzcLOzg6A/Pnzs2DBAvT19fH09KRJkyYcOHCAXr16UaBAAfT19bGwsFDvnyoxMZElS5ZQokQJAPr160dQUJB6e506dTT2X7ZsGdbW1hw6dIimTZu+N+PQoUNp0KABAAMGDKBjx44cOHCA6tWrA9CjRw91pxC8HaUzYsQIOnToAMD06dP59ddfmTt3LgsXLkxz/EWLFuHo6MiCBQtQqVR4enpy//59RowYwfjx43n58iUrV65k3bp11K1bF4DQ0FCKFCmiPoaDgwMNGjQgNDSUypUrq/epVasWLi4u6eaKj48nPj5eY12KvhFGRkbvfS2y48nTJyQlJWFjY6Ox3sbGhhs3rufKOXObZBLaosR2UmImUGYuyaQbJJPQFqW2k1JzibxDRrqI90pJSfnofYsVK6bucAHw8fEhOTmZqKgo9Tpvb2/09fXVj+3t7Xnw4MEHj21qaqrucEnvef/88w+9evXCzc0NKysrLC0tiY2N5fbt2xket0yZMur/Fy5cGIDSpUtrrEs9z/Pnz7l//766QyZV9erViYyMTPf4kZGR+Pj4aFwqVb16dWJjY7l79y7Xr18nMTGRKlWqqLdbWVnh4eGhcZxevXqxfv16Xr9+TUJCAuvWraN79+7vzRUcHIyVlZXGMnN6cIavhRBCCCGEEEJ8iJ5Ke4uukpEuIl3u7u4Zdiak7pMZBgYGGo9VKhXJyclZet67HUL+/v7ExMQwb948ihcvjpGRET4+PiQkJHz0cVM7Rv697mPqy23NmjXDyMiIbdu2YWhoSGJiIm3atHnv/qNGjWLw4MEa61L0c2eUC0B+6/zo6+unmWgsJiYGW1vbXDtvbpJMQluU2E5KzATKzCWZdINkEtqi1HZSai6Rd8hIF5GuDh06cOXKFX766ac022bNmoWNjQ316//fpGC3b9/m/v376sfHjh1DT08vzaiNjBgaGpKUlJTpWiMiIujfvz+NGzfG29sbIyMjHj16lOnjZMTS0pIiRYqkuV12REQEJUuWTPc5Xl5eHD16VKODKCIiAgsLCxwcHHBxccHAwEBjvpZnz55pXLYFkC9fPvz9/QkNDSU0NJQOHTpgYmLy3lqNjIywtLTUWHLr0iIAA0NDvEp6c/zYUfW65ORkjh8/Spmy5XPtvLlJMgltUWI7KTETKDOXZNINkkloi1LbSam5covcMjrzZKSLSFeHDh3YtGkT/v7+zJw5k7p16/L8+XMWLlzIzp072bRpE2ZmZur9jY2N8ff3JyQkhOfPn9O/f3/atWuXZn6WjDg5OfHbb7/RoUMHjIyMPrpn2c3NjdWrV1OpUiWeP3/OsGHDMuyUyKphw4YRGBhIiRIlKFeuHKGhoZw5c4a1a9emu39AQABz587l22+/pV+/fkRFRREYGMjgwYPR09PDwsICf39/hg0bRoECBShUqBCBgYHo6emluXtTz5491XPp/LvjJy/o7N+NcaNH4O1dilKly7Bm9UpevXqFX8tW2i4tyySTboiLe6lxKeG9e3e5fDkSKysr7O2LZPDMvEuJ7aTETKDMXJJJN0gm3SDfo3SHUnOJvEE6XUS6Um+pPHfuXObMmUNAQADGxsb4+PgQHh6eZm4TV1dXWrVqRePGjXn8+DFNmzZl0aJFmTpnUFAQvXv3pkSJEsTHx3/0nDIrVqzg66+/pkKFCjg6OjJ16lSNuxvllP79+/Ps2TOGDBnCgwcPKFmyJDt37sTNzS3d/YsWLcquXbsYNmwYZcuWpUCBAvTo0YOxY8eq95k9ezZ9+vShadOmWFpaMnz4cO7cuYOxsbHGsdzc3KhWrRqPHz/ms88+y/Fs2dWwUWOePH7MogXzefToIR6eXixauhwbHR6SKZl0w8ULF+jVvYv68awZb+cvataiJZOmTNNWWdmixHZSYiZQZi7JpBskk26Q71G6Q6m5RN6gSsnMbKlCpGPChAls376dM2fOaLsUnffy5UuKFi3KrFmz6NGjh3p9SkoKbm5uBAQEpJmv5WO8fpOTVQrx8ZT4HUaXh7cKIYT4P/I9SmiTsY4Of1gYcVNr5+5b3Ulr584OHW1qIZTh9OnTXL58mSpVqvDs2TP1rbBbtGih3ufhw4ds2LCBv//+m27dummrVCGEEEIIIYQQmSSdLkJoWUhICFFRURgaGlKxYkUOHz6sMZ9NoUKFsLW1ZdmyZeTPn1+LlQohhBBCCCE+ZTKaKvPk8iIhPgFyeZHQFiV+h5EfNoQQQhnke5TQJl29vGjR7ze1du6Aak5aO3d26GhTCyGEEEIIIYQQ4r+kJx17mSadLkIIIUQmJCvwT6N68qdRIcQHKPGzT4GRUCkwE4Ce/KYvdJietgsQQgghhBBCCCGEUCIZ6SKEEEIIIYQQQogPktGxmScjXYTihYeHo1KpePr0qbZLSVfXrl3x8/NTP65duzYDBw7UWj1CCCGEEEIIIXKGdLqIPCUpKYk5c+ZQunRpjI2NyZ8/P40aNSIiIuKjnq+EDoutW7cyadIkbZeRaRvWraVR/TpULl+aTh3acv7cOW2XlG2SKe87dfIE/fv2of7nNShXyoODB/Zru6RsWfH9Ujq1b0P1KhWo41uNQf37cvPGdW2XlSOU9t5LpcRckkk3KCmTkj/7UoUuX0aF0p7MnD5V26Vky8Yf19OuVXNqVK1IjaoV6dKpPUcO/6btsnKEkr6mcpNKpb1FV0mni8gzUlJS6NChA0FBQQwYMIDIyEjCw8NxdHSkdu3abN++/b3PTUhI+O8KzWUFChTAwsJC22Vkyp7duwiZEUzvgL5s2LQNDw9Pvundg5iYGG2XlmWSSTe8ehWHu4cHo8YEaruUHPHnyRO07/glq9b9yOJlP/Am8Q3ffN2TV3Fx2i4tW5T43gNl5pJMukFpmZT62Zfq4oXzbNn8I27uHtouJdsKFy7MtwOHsPbHLazdsJkqn1VlUP++XLt6RdulZYvSvqZE3iKdLiLP2LhxI5s3b2bVqlX07NkTZ2dnypYty7Jly2jevDk9e/bk5cuXAEyYMIFy5cqxfPlynJ2dMTY2pmvXrhw6dIh58+ahUqlQqVTcvHlTffxTp05RqVIlTE1NqVatGlFRURrnX7x4MSVKlMDQ0BAPDw9Wr16tsV2lUrF48WIaNWqEiYkJLi4ubN68WWOfO3fu0K5dO6ytrSlQoAAtWrTQqCEpKYnBgwdjbW2NjY0Nw4cPJ+VfU+f/e7ROfHw8I0aMwNHRESMjI1xdXVmxYkU2Xumct3plKK3atMOvZWtKuLoyNnAixsbGbN+6RdulZZlk0g01ataiX/9B1KlXX9ul5IiFS5fT3K8VJVzd8PD0ZOKUYP6Ovs+lSxe1XVq2KPG9B8rMJZl0g9IyKfWzDyAu7iVjRg5lXOAkLC0ttV1OttWqXYeavrUoXtyJ4k7O9Os/CFNTU86dO6vt0rJFaV9TIm+RTheRZ6xbtw53d3eaNWuWZtuQIUOIiYlh37596nVXr15ly5YtbN26lTNnzjBv3jx8fHzo1asX0dHRREdH4+joqN5/zJgxzJo1i5MnT5IvXz66d++u3rZt2zYGDBjAkCFDuHDhAr1796Zbt278+uuvGnWMGzeO1q1bc/bsWTp16kSHDh2IjIwEIDExkQYNGmBhYcHhw4eJiIjA3Nychg0bqkfizJo1i7CwMH744QeOHDnC48eP2bZtW4avS5cuXVi/fj3z588nMjKSpUuXYm5unvkXOJckJiQQeekiVX2qqdfp6elRtWo1zp09rcXKsk4yibwiNvYFAFZWVlquJOuU+t5TYi7JpBuUmOnflPDZl2ralCBq1KzNZ++0l1IkJSWxZ/cvvHoVR5my5bRdTpZ9Cl9TOUlPpdLaoqvk7kUiz/jrr7/w8vJKd1vq+r/++ku9LiEhgVWrVlGwYEH1OkNDQ0xNTbGzs0tzjClTplCrVi0ARo4cSZMmTXj9+jXGxsaEhITQtWtXAgICABg8eDDHjh0jJCSEzz//XH2Mtm3b0rNnTwAmTZrEvn37+O6771i0aBE//vgjycnJLF++HNX//1AIDQ3F2tqa8PBwvvjiC+bOncuoUaNo1aoVAEuWLGHv3r0ZviYbN25k37591KtXDwAXF5cMX8f4+Hji4+M11qXoG2FkZJTh87LqydMnJCUlYWNjo7HexsaGGzp6PbZkEnlBcnIyIdOmUq58BVzd3LVdTpYp9b2nxFySSTcoMdO7lPLZB7B39y9cvnSJ1Rs2f3hnHXLlryj8v+pIQkI8JqamzJq7gBIlXLVdVpYp/WtKaJ+MdBF5yr8vtclI8eLFNTpcPqRMmTLq/9vb2wPw4MEDACIjI6levbrG/tWrV1ePYknl4+OT5nHqPmfPnuXq1atYWFhgbm6Oubk5BQoU4PXr11y7do1nz54RHR3NZ599pn5+vnz5qFSp0ntrPnPmDPr6+urOoo8RHByMlZWVxjJzevBHP18IkTcETw7i6tUrTJs5W9ulCCHEf0Ypn31//x3NzGlTmTwtJNf+8KUtTs7ObNi8jVVrf6Rtuw6MHzuSa9euarss8R+RiXQzT0a6iDzD3d09TSdHqtT17u7/9xcPMzOzTB3fwMBA/f/UkSjJycmZLfO9YmNjqVixImvXrk2zLTOdQ+8yMTHJ9HNGjRrF4MGDNdal6OfeN/v81vnR19dPM9FYTEwMtra2uXbe3CSZhLZNmxLE4UPhrFi5hsLpjNzTJUp97ykxl2TSDUrMlEpJn32RFy/y+HEMndq3Uq9LSkriz1Mn2bh+LcdOnUNfX1+LFWadgYEhxYoVB6CkdykuXrjA+jWrGBsYpOXKskbJX1Mib5CRLiLP6NChA1euXOGnn35Ks23WrFnY2NhQv37Gk2UaGhqSlJSU6XN7eXmluS11REQEJUuW1Fh37NixNI9TL32qUKECV65coVChQri6umosqSNO7O3tOX78uPr5b9684dSpU++tq3Tp0iQnJ3Po0KGPzmJkZISlpaXGkpt/YTEwNMSrpDfHjx1Vr0tOTub48aOUKVs+186bmyST0JaUlBSmTQni4IH9LP0hjKIODtouKduU+t5TYi7JpBuUmEmJn31VqlZl49adrN+0Tb2U9C5FoybNWL9pm852uKQnJSVZp+8kqsSvqdykp8VFV8lIF5FndOjQgU2bNuHv78/MmTOpW7cuz58/Z+HChezcuZNNmzZ9cHSLk5MTx48f5+bNm+rLez7GsGHDaNeuHeXLl6devXr89NNPbN26lf3792vst2nTJipVqkSNGjVYu3Ytf/zxh/pOQp06dWLmzJm0aNGCoKAgHBwcuHXrFlu3bmX48OE4ODgwYMAApk2bhpubG56ensyePZunT59mmMff35/u3bszf/58ypYty61bt3jw4AHt2rX7qGz/hc7+3Rg3egTe3qUoVboMa1av5NWrV/i1bPXhJ+dRkkk3xMW95Pbt2+rH9+7d5fLlyP/fyVlEi5VlTfDkIHbv+pk58xdiZmbGo0cPATA3t8DY2FjL1WWdEt97oMxckkk3KC2TEj/7zMzM08xJY2JigpW1tU7PVTN/7iyq1/DF3t6ely9fsnvXz5w88QeLlizXdmnZorSvKZG3SKeLyDNUKhUbN25k7ty5zJkzh4CAAIyNjfHx8SE8PDzNnCvpGTp0KP7+/pQsWZJXr15x48aNjzq3n58f8+bNIyQkhAEDBuDs7ExoaCi1a9fW2G/ixIls2LCBgIAA7O3tWb9+vXo0jKmpKb/99hsjRoygVatWvHjxgqJFi1K3bl31LQKHDBlCdHQ0/v7+6Onp0b17d1q2bMmzZ8/eW9vixYsZPXo0AQEBxMTEUKxYMUaPHv1Ruf4rDRs15snjxyxaMJ9Hjx7i4enFoqXLsdHhIZmSSTdcvHCBXt27qB/PmvF2/qJmLVoyaco0bZWVZZt+XA9Ar25dNNZPnDyV5n66+4OfEt97oMxckkk3KC2TUj/7lOjx48eMGzOCRw8fYm5hgZubB4uWLKdqtQ//nJ6XKe1rSuQtqpTMzFwqxCdMpVKxbds2/Pz8tF1Kpr1+o+0KxKdKid9hUlBeKF2+DaMQ4r+RrMAPdAVGQqmf5np6yktmrKPDH1aevKO1c/tXctTaubNDly+NEkIIIYQQQgghhMizdLR/TQghhBBCCCGEEP8l5Y05yn3S6SLER5Ir8YQQQgghhBBCZIZ0ugghhMg1SpwqRCV/4xFapMR5NWROId2gyHZSYKT4xGRtl5ArjBQ4p4vIXU5OTty6dSvN+oCAABYuXEjt2rU5dOiQxrbevXuzZMmSHK9FOl2EEEIIIYQQQgjxQbrSAXvixAmSkpLUjy9cuED9+vVp27atel2vXr0ICgpSPzY1Nc2VWqTTRQghhBBCCCGEEHlafHw88fHxGuuMjIwwMjJKs2/BggU1Hk+bNo0SJUpQq1Yt9TpTU1Ps7Oxyp9h3yN2LhBBCCCGEEEII8UEqLS7BwcFYWVlpLMHBwR+sOSEhgTVr1tC9e3dU74zUWbt2Lba2tpQqVYpRo0YRFxeXrdfmfVQpMjuo+BeVSsW2bdvw8/PTdikih7x+o+0KhBBC5ASZ00UIkRHFzulioLyxAsY6es3J2lN3tXbuNqUKfvRIl3dt3LiRL7/8ktu3b1OkSBEAli1bRvHixSlSpAjnzp1jxIgRVKlSha1bt+Z43cp7937iwsPDUalU6qVw4cK0bt2a69evf/QxoqOjadSoUbbqcHJyQqVSsWHDhjTbvL29UalUhIWFZescnyInJyfmzp2r7TLStWHdWhrVr0Pl8qXp1KEt58+d03ZJ2SaZdINk0g1KzATKyrXi+6V0at+G6lUqUMe3GoP69+XmjY//+SEvU1I7pZJMukFpmZKSkliycB4tGtej5mflaNn0C1YsW6SIu3wqra1yi0qlvcXIyAhLS0uN5UMdLgArVqygUaNG6g4XgK+//poGDRpQunRpOnXqxKpVq9i2bRvXrl3L8ddMOl0UKioqivv377Np0yYuXrxIs2bNNCYSyoidnd1HvXk/xNHRkdDQUI11x44d4++//8bMzCzbxxd5x57duwiZEUzvgL5s2LQNDw9Pvundg5iYGG2XlmWSSTdIJt2gxEygvFx/njxB+45fsmrdjyxe9gNvEt/wzdc9eZVLw63/K0prJ5BMukKJmVaFLmfLpg0MGzmWH7f+Qr8BQ1gdtoKN69dou7RsUWJbibdu3brF/v376dmzZ4b7ffbZZwBcvXo1x2uQTheFKlSoEPb29vj6+jJ+/HguXbrE1atXOXHiBPXr18fW1hYrKytq1arFn3/+qfFclUrF9u3bAbh58yYqlYqtW7fy+eefY2pqStmyZTl69OgHa+jUqROHDh3izp076nU//PADnTp1Il8+zfF0s2fPpnTp0piZmeHo6EhAQACxsbHq7WFhYVhbW7N37168vLwwNzenYcOGREdHq/f5mGyXL1+mRo0aGBsbU7JkSfbv36+RF+DOnTu0a9cOa2trChQoQIsWLbh586Z6e9euXfHz82Pq1KkULlwYa2trgoKCePPmDcOGDaNAgQI4ODik6XD62OOGhIRgb2+PjY0Nffv2JTExEYDatWtz69YtBg0apB7JlFesXhlKqzbt8GvZmhKurowNnIixsTHbt27RdmlZJpl0g2TSDUrMBMrLtXDpcpr7taKEqxsenp5MnBLM39H3uXTporZLyxaltRNIJl2hxEznzp7Gt3YdavjWpkjRotSt34DPfKpz8cJ5bZeWLUpsK/FWaGgohQoVokmTJhnud+bMGQDs7e1zvAbpdPkEmJiYAG8nEHrx4gX+/v4cOXKEY8eO4ebmRuPGjXnx4kWGxxgzZgxDhw7lzJkzuLu707FjR968yXiikMKFC9OgQQNWrlwJQFxcHD/++CPdu3dPs6+enh7z58/n4sWLrFy5koMHDzJ8+HCNfeLi4ggJCWH16tX89ttv3L59m6FDh6q3fyhbUlISfn5+mJqacvz4cZYtW8aYMWM0zpGYmEiDBg2wsLDg8OHDREREqDt4EhIS1PsdPHiQ+/fv89tvvzF79mwCAwNp2rQp+fPn5/jx4/Tp04fevXtz9+7dTB33119/5dq1a/z666+sXLmSsLAw9WVYW7duxcHBgaCgIKKjozU6nLQpMSGByEsXqepTTb1OT0+PqlWrce7saS1WlnWSSTdIJt2gxEyg3Fzvio19+/3TyspKy5VknRLbSTLpBiVmAihTtjwnjx/j1q0bAPwVdZmzp/+kWvWaWq4s65TaVrnl3aks/usls5KTkwkNDcXf31/jj/7Xrl1j0qRJnDp1ips3b7Jz5066dOmCr68vZcqUycmXC5BbRitedHQ0ISEhFC1aFA8PD0qXLq2xfdmyZVhbW3Po0CGaNm363uMMHTpU3Ts4ceJEvL29uXr1Kp6enhmev3v37gwZMoQxY8awefNmSpQoQbly5dLsN3DgQPX/nZycmDx5Mn369GHRokXq9YmJiSxZsoQSJUoA0K9fP437qtepUyfDbPv27ePatWuEh4erbw02ZcoU6tevr37Ojz/+SHJyMsuXL1d/YYeGhmJtbU14eDhffPEFAAUKFGD+/Pno6enh4eHBjBkziIuLY/To0QCMGjWKadOmceTIETp06PDRx82fPz8LFixAX18fT09PmjRpwoEDB+jVqxcFChRAX18fCwuLDG9tlt6t1FL0PzzBVFY9efqEpKQkbGxsNNbb2NhwQ0fnApBMukEy6QYlZgLl5kqVnJxMyLSplCtfAVc3d22Xk2VKbCfJpBuUmAnAv3svXr6MpZ1fE/T09UlOSuKbfgNp2KSZtkvLMqW2lYD9+/dz+/btNH/0NzQ0ZP/+/cydO5eXL1/i6OhI69atGTt2bK7UIZ0uCuXg4EBKSgpxcXGULVuWLVu2YGhoyD///MPYsWMJDw/nwYMHJCUlERcXx+3btzM83rs9fqlDrh48ePDBTpcmTZrQu3dvfvvtN3744Yd0R7nA2y+I4OBgLl++zPPnz3nz5g2vX78mLi4OU1NT4O191FM7XFLrePDggfrxh7JFRUXh6Oio0WFRpUoVjTrOnj3L1atXsbCw0Fj/+vVrjUmVvL290dP7v4FihQsXplSpUurH+vr62NjYqOvLzHH19fU1Mp4/n7nhmsHBwUycOFFj3ZhxgYwdPyFTxxFCCPHpCp4cxNWrVwhdtU7bpQgh8pD9/9vNnl0/Myl4Ji4l3PgrKpLZM4OxLViIps39tF2e+A/o0qUyX3zxRbqTPDs6OnLo0KH/rA7pdFGow4cPY2lpSaFChTR+0ff39ycmJoZ58+ZRvHhxjIyM8PHx0bjEJT0GBgbq/6eO1EhO/vAt6fLly0fnzp0JDAzk+PHjbNu2Lc0+N2/epGnTpnzzzTdMmTKFAgUKcOTIEXr06EFCQoK60+XdGlLrePeLKKvZ3hUbG0vFihVZu3Ztmm0FCxZU/z+9WtJbl/oaZee4H/M6v2vUqFEMHjxYY12Kfu6McgHIb50ffX39NBONxcTEYGtrm2vnzU2SSTdIJt2gxEyg3FwA06YEcfhQOCtWrqFwBiMrdYES20ky6QYlZgKYPycE/249+aLh2xHwrm7uREffZ+UPy3S200WpbSXyDl3qqBKZ4OzsTIkSJdKMrIiIiKB///40btwYb29vjIyMePToUa7W0r17dw4dOkSLFi3Inz9/mu2nTp0iOTmZWbNmUbVqVdzd3bl//36mz/OhbB4eHty5c4d//vlHve7EiRMax6hQoQJXrlyhUKFCuLq6aizZuaY9p45raGj4wbtQZfVWalllYGiIV0lvjh/7v8mVk5OTOX78KGXKls+18+YmyaQbJJNuUGImUGaulJQUpk0J4uCB/Sz9IYyiDg7aLinblNhOkkk3KDETwOvXr1Dpaf4Kqa+nn+k/EuYlSm0rkXdIp8snxs3NjdWrVxMZGcnx48fp1KmTeqLd3OLl5cWjR4/S3M0nlaurK4mJiXz33Xdcv36d1atXs2TJkkyf50PZ6tevT4kSJfD39+fcuXNERESor9tLHb3TqVMnbG1tadGiBYcPH+bGjRuEh4fTv39/9aS4WZFTx3VycuK3337j3r17ud5Zlhmd/buxdfNGdm7fxvVr15gcNIFXr17h17KVtkvLMsmkGySTblBiJlBeruDJQfzy809MnR6CmZkZjx495NGjh7x+/VrbpWWL0toJJJOuUGKmmr6fE7Z8KUd+C+f+vXv8enAf69aEUbtOPW2Xli1KbKvcoksT6eYVcnnRJ2bFihV8/fXXVKhQAUdHR6ZOnapxB6Dc8u+Jqd5VtmxZZs+ezfTp0xk1ahS+vr4EBwfTpUuXTJ3jQ9n09fXZvn07PXv2pHLlyri4uDBz5kyaNWuGsbEx8HbemN9++40RI0bQqlUrXrx4QdGiRalbty6WlpZZC5+Dxw0KCqJ3796UKFGC+Pj4dK9R1IaGjRrz5PFjFi2Yz6NHD/Hw9GLR0uXY6PCQTMmkGySTblBiJlBerk0/rgegVzfN778TJ0+luZ/u/uKhtHYCyaQrlJhp6MixLF04jxnBQTx5/BjbgoVo2bodPXsHaLu0bFFiW4m8Q5WSV35rE0ILIiIiqFGjBlevXtWYpFdpXmd8d28hhBA6IlmBP7bp6fBfL4XIa+ITdfcyn4wYGSjvAg1jHR3+sOlM5qeByCltyxXR2rmzQ0ebWois2bZtG+bm5ri5uXH16lUGDBhA9erVFd3hIoQQQgghhBBCO6TTRXxSXrx4wYgRI7h9+za2trbUq1ePWbNmabssIYQQQgghhMjzdHluFW2Ry4uE+ATI5UVCCKEMcnmRECIjcnmR7tDVy4s2n43W2rnblLXX2rmzQ0ebWgghhC5IfKO8H/4M8invBz+hO5TYQSEdSUJblPjeM9CX954QeY10ugghhBBCCCGEEOKD5E9PmSevmRBCCCGEEEIIIUQukE4XBVOpVGzfvh2AmzdvolKpOHPmTK6cKywsDGtr61w5ttAUHh6OSqXi6dOn2i5FCCGEEEII8QlRqVRaW3SVdLrkAam/RKcuhQsXpnXr1ly/fj3HzuHo6Eh0dDSlSpX66Od07doVPz+/j9q3ffv2/PXXX1msLmeoVCqMjY25deuWxno/Pz+6du2qnaIyoLSOqg3r1tKofh0qly9Npw5tOX/unLZLyjbJlPc9+Ocfxo0aTl3fqlSvUo72rZtz6eIFbZeVbUprJ1BmJlBmLiVlWvH9Ujq1b0P1KhWo41uNQf37cvNGzv18pU1KaqdUSsqk1Pfexh/X065Vc2pUrUiNqhXp0qk9Rw7/pu2ycoSS3n8ib5FOlzwkKiqK+/fvs2nTJi5evEizZs1ISkrKkWPr6+tjZ2dHvnw5P41PYmIiJiYmFCpUKMePnVkqlYrx48dru4xPzp7duwiZEUzvgL5s2LQNDw9Pvundg5iYGG2XlmWSKe97/vwZPbp+Sb58+Zi3cBkbt/7MoCEjsLS01HZp2aK0dgJlZgJl5lJapj9PnqB9xy9Zte5HFi/7gTeJb/jm6568iovTdmnZorR2AuVlUup7r3Dhwnw7cAhrf9zC2g2bqfJZVQb178u1q1e0XVq2KO39J/IW6XTJQwoVKoS9vT2+vr6MHz+eS5cucfXqVQB27NhBhQoVMDY2xsXFhYkTJ/Lmzf/dB/jKlSv4+vpibGxMyZIl2bdvn8ax/315UVJSEj169MDZ2RkTExM8PDyYN2+eev8JEyawcuVKduzYoR6BEx4erj7Ojz/+SK1atTA2Nmbt2rXpjtr46aefqFy5MsbGxtja2tKyZUv1tkWLFuHm5oaxsTGFCxemTZs2OfIa9uvXjzVr1nDhwvv/0p2cnExwcLA6e9myZdm8ebPGPocOHaJKlSoYGRlhb2/PyJEjNV7v2rVr079/f4YPH06BAgWws7NjwoQJGseYPXs2pUuXxszMDEdHRwICAoiNjQXejm7q1q0bz549U7++qc9fvXo1lSpVwsLCAjs7O7788ksePHiQI69Pblm9MpRWbdrh17I1JVxdGRs4EWNjY7Zv3aLt0rJMMuV9K39YTuHC9gROmkqp0mUo6uBA1WrVcXAspu3SskVp7QTKzATKzKW0TAuXLqe5XytKuLrh4enJxCnB/B19n0uXLmq7tGxRWjuB8jIp9b1Xq3YdavrWonhxJ4o7OdOv/yBMTU05d+6stkvLFqW9/3KTSouLrpJOlzzKxMQEgISEBA4fPkyXLl0YMGAAly5dYunSpYSFhTFlyhTgbSdCq1atMDQ05Pjx4yxZsoQRI0ZkePzk5GQcHBzYtGkTly5dYvz48YwePZqNGzcCMHToUNq1a0fDhg2Jjo4mOjqaatWqqZ8/cuRIBgwYQGRkJA0aNEhz/F9++YWWLVvSuHFjTp8+zYEDB6hSpQoAJ0+epH///gQFBREVFcWePXvw9fXNkdetevXqNG3alJEjR753n+DgYFatWsWSJUu4ePEigwYN4quvvuLQoUMA3Lt3j8aNG1O5cmXOnj3L4sWLWbFiBZMnT9Y4zsqVKzEzM+P48ePMmDGDoKAgjc4uPT095s+fz8WLF1m5ciUHDx5k+PDhAFSrVo25c+diaWmpfn2HDh0KvB05NGnSJM6ePcv27du5efNmnrw8KlViQgKRly5S1ef/3h96enpUrVqNc2dPa7GyrJNMuuG3Q7/i5e3NiKEDqV+7Ol+2a8W2LRu1XVa2KLGdlJgJlJlLiZn+LTb2BQBWVlZariTrlNhOSsz0b0p47/1bUlISe3b/wqtXcZQpW07b5WTZp/D+E9olt4zOg6KjowkJCaFo0aJ4eHjQuHFjRo4cib+/PwAuLi5MmjSJ4cOHExgYyP79+7l8+TJ79+6lSJEiAEydOpVGjRq99xwGBgZMnDhR/djZ2ZmjR4+yceNG2rVrh7m5OSYmJsTHx2NnZ5fm+QMHDqRVq1bvPf6UKVPo0KGDxjnKli0LwO3btzEzM6Np06ZYWFhQvHhxypcvn7kXKQPBwcGUKVOGw4cPU7NmTY1t8fHxTJ06lf379+Pj4wO8fT2PHDnC0qVLqVWrFosWLcLR0ZEFCxagUqnw9PTk/v37jBgxgvHjx6On97avskyZMgQGBgLg5ubGggULOHDgAPXr11e/RqmcnJyYPHkyffr0YdGiRRgaGmJlZYVKpUrz+nbv3l39fxcXF+bPn0/lypWJjY3F3Nz8g/nj4+OJj4/XWJeib4SRkdFHvoKZ8+TpE5KSkrCxsdFYb2Njww0dvXZZMumGe3fvsGXjBjp17kq3Hl9z6eIFQqZPxcDAkKbN/bRdXpYosZ2UmAmUmUuJmd6VnJxMyLSplCtfAVc3d22Xk2VKbCclZnqXUt57qa78FYX/Vx1JSIjHxNSUWXMXUKKEq7bLyjKlv/9ymg7PZ6s1MtIlD3FwcMDMzIwiRYrw8uVLtmzZgqGhIWfPniUoKAhzc3P10qtXL6Kjo4mLiyMyMhJHR0d1hwug7lDIyMKFC6lYsSIFCxbE3NycZcuWcfv27Y+qtVKlShluP3PmDHXr1k13W/369SlevDguLi507tyZtWvXEpfB9a3v5u7Tp88HaytZsiRdunRJd7TL1atXiYuLo379+hrHXbVqFdeuXQMgMjISHx8fjRmyq1evTmxsLHfv3lWvK1OmjMax7e3tNS4D2r9/P3Xr1qVo0aJYWFjQuXNnYmJiMswKcOrUKZo1a0axYsWwsLCgVq1aAB/dNsHBwVhZWWksM6cHf9RzhdAlyckpeHqVpG//QXh6lXw7LLhVW7Zs2qDt0oQQeVDw5CCuXr3CtJmztV2K+MQo7b3n5OzMhs3bWLX2R9q268D4sSO5du2qtssSIs+SkS55yOHDh7G0tKRQoUJYWFio18fGxjJx4sR0R5YYGxtn6VwbNmxg6NChzJo1Cx8fHywsLJg5cybHjx//qOebmZlluD318qj0WFhY8OeffxIeHs7//vc/xo8fz4QJEzhx4kS6d/N59zbXHztB5sSJE3F3d1ffMjtV6pwqv/zyC0WLFtXYltmRIAYGBhqPVSoVycnJwNs5dJo2bco333zDlClTKFCgAEeOHKFHjx4kJCRgamqa7jFfvnxJgwYNaNCgAWvXrqVgwYLcvn2bBg0akJCQ8FF1jRo1isGDB2usS9HPnVEuAPmt86Ovr59morGYmBhsbW1z7by5STLpBtuCtji7lNBY5+ziwsH9/9NSRdmnxHZSYiZQZi4lZko1bUoQhw+Fs2LlGgqnM4JXlyixnZSYKZWS3nupDAwMKVasOAAlvUtx8cIF1q9ZxdjAIC1XljVKfv/lBj2dnl1FO2SkSx7i7OxMiRIlNDpcACpUqEBUVBSurq5pFj09Pby8vLhz5w7R0dHq5xw7dizDc0VERFCtWjUCAgIoX748rq6u6pEeqQwNDbN896QyZcpw4MCB927Ply8f9erVY8aMGZw7d46bN29y8ODBdPd9N+/H3iHJ0dGRfv36MXr0aI0MJUuWxMjIiNu3b6d5LR0dHQHw8vLi6NGjpKSkqJ8XERGBhYUFDg4OH3X+U6dOkZyczKxZs6hatSru7u7cv39fY5/0Xt/Lly8TExPDtGnTqFmzJp6enpmeRNfIyAhLS0uNJbcuLQIwMDTEq6Q3x48dVa9LTk7m+PGjlCmbc5eN/Zckk24oW64Ct27e1Fh369ZN7N8Z9adrlNhOSswEysylxEwpKSlMmxLEwQP7WfpDGEU/8vt4XqbEdlJiJiW+994nJSX5o/84mBcp8f0n8hYZ6aIDxo8fT9OmTSlWrBht2rRBT0+Ps2fPcuHCBSZPnky9evVwd3fH39+fmTNn8vz5c8aMGZPhMd3c3Fi1ahV79+7F2dmZ1atXc+LECZydndX7ODk5sXfvXqKiorCxscnUxF+BgYHUrVuXEiVK0KFDB968ecOuXbsYMWIEP//8M9evX8fX15f8+fOza9cukpOT8fDwyPJrlJ5Ro0bx/fffc+PGDdq3bw+8HWUzdOhQBg0aRHJyMjVq1ODZs2dERERgaWmJv78/AQEBzJ07l2+//ZZ+/foRFRVFYGAggwcPVs/n8iGurq4kJiby3Xff0axZMyIiIliyZInGPk5OTsTGxnLgwAHKli2LqakpxYoVw9DQkO+++44+ffpw4cIFJk2alKOvS27o7N+NcaNH4O1dilKly7Bm9UpevXqFX8v3z/uT10mmvO/Lr/zp7v8lPyxfSv0vGnLxwnm2bd7EmPETP/zkPExp7QTKzATKzKW0TMGTg9i962fmzF+ImZkZjx49BMDc3CLLo4XzAqW1Eygvk1Lfe/PnzqJ6DV/s7e15+fIlu3f9zMkTf7BoyXJtl5YtSnv/ibxFOl10QIMGDfj5558JCgpi+vTpGBgY4OnpSc+ePYG3s2tv27aNHj16UKVKFZycnJg/fz4NGzZ87zF79+7N6dOnad++PSqVio4dOxIQEMDu3bvV+/Tq1Yvw8HAqVapEbGwsv/76K05OTh9Vc+3atdm0aROTJk1i2rRpWFpaqu9QZG1tzdatW5kwYQKvX7/Gzc2N9evX4+3tnfUXKR0FChRgxIgRjB49WmP9pEmTKFiwIMHBwVy/fh1ra2sqVKig3q9o0aLs2rWLYcOGUbZsWQoUKECPHj0YO3bsR5+7bNmyzJ49m+nTpzNq1Ch8fX0JDg6mS5cu6n2qVatGnz59aN++PTExMQQGBjJhwgTCwsIYPXo08+fPp0KFCoSEhNC8efOceVFyScNGjXny+DGLFszn0aOHeHh6sWjpcmx0eEimZMr7vEuVJmT2fBbMn8PypYsoUtSBIcNH0qhJM22Xli1KaydQZiZQZi6lZdr043oAenXrorF+4uSpNPfT3V+mlNZOoLxMSn3vPX78mHFjRvDo4UPMLSxwc/Ng0ZLlVK1WXdulZYvS3n+5SSbSzTxVyrvXUAghFOn1G21XID5ViW+StV1CjjPIJ1fmCpGTkhX4o6ie/FaiE5T43kOBkQD09JT3NWWso8Mffr7wj9bO3bRUYa2dOzt0tKmFEEIIIYQQQgjxX1LJRLqZJn+uE0IIIYQQQgghhMgF0ukihBBCCCGEEEIIkQvk8iIhhBBCCCGEEEJ8kExZlXnS6SKEECLX5NOXAZVCiIzJpLO6QYlzziryvafASELoOul0EUIIIYQQQgghxAfpSc9epsmfIIUQQgghhBBCCCFygXS6pEOlUrF9+/ZcO76TkxNz587NsePVrl2bgQMH5tjxsurd1+3mzZuoVCrOnDnzUc/t2rUrfn5+uVbbfy0sLAxra+tsHye334tCCCGEEEII8bFUKu0tuuqT63QJDw9HpVKpl8KFC9O6dWuuX7/+n9Vw4sQJvv766//sfGFhYahUKry8vNJs27RpEyqVCicnpxw9p6OjI9HR0ZQqVeqj9p83bx5hYWE5WkNW1a5dW/3+MDY2xt3dneDgYFKUeDFzDtqwbi2N6tehcvnSdOrQlvPnzmm7pGyTTHnfqZMn6N+3D/U/r0G5Uh4cPLBf2yXlCKW1EygzEygzl2TSDUrLJJ/nukOJmUC5uYT2fXKdLqmioqK4f/8+mzZt4uLFizRr1oykpKT/5NwFCxbE1NT0PzlXKjMzMx48eMDRo0c11q9YsYJixYrl+Pn09fWxs7MjX76PmzbIysoqR0aG5JRevXoRHR1NVFQUo0aNYvz48SxZskTbZeVZe3bvImRGML0D+rJh0zY8PDz5pncPYmJitF1alkkm3fDqVRzuHh6MGhOo7VJyjBLbSYmZQJm5JJNuUGIm+TzXDUrMBMrNJfKGT7bTpVChQtjb2+Pr68v48eO5dOkSV69eVW9/9OgRLVu2xNTUFDc3N3bu3AlASkoKrq6uhISEaBzvzJkzqFQqrl69SkpKChMmTKBYsWIYGRlRpEgR+vfvr97335cXPX36lN69e1O4cGGMjY0pVaoUP//8MwAxMTF07NiRokWLYmpqSunSpVm/fn2m8+bLl48vv/ySH374Qb3u7t27hIeH8+WXX6bZf8eOHVSoUAFjY2NcXFyYOHEib968UW+/cuUKvr6+GBsbU7JkSfbt26fx/PQuL7p48SJNmzbF0tISCwsLatasybVr14C0lxfVrl2b/v37M3z4cAoUKICdnR0TJkzQOMfTp0/p2bMnBQsWxNLSkjp16nD27NlMvzbpMTU1xc7OjuLFi9OtWzfKlCmjkTE+Pp6hQ4dStGhRzMzM+OyzzwgPD09znL179+Ll5YW5uTkNGzYkOjpave3EiRPUr18fW1tbrKysqFWrFn/++WeaY0RHR9OoUSNMTExwcXFh8+bNOZIxJ61eGUqrNu3wa9maEq6ujA2ciLGxMdu3btF2aVkmmXRDjZq16Nd/EHXq1dd2KTlGie2kxEygzFySSTcoMZN8nusGJWYC5ebKDXJ5UeZ9sp0u7zIxMQEgISFBvW7ixIm0a9eOc+fO0bhxYzp16sTjx49RqVR0796d0NBQjWOEhobi6+uLq6srW7ZsYc6cOSxdupQrV66wfft2Spcune65k5OTadSoEREREaxZs4ZLly4xbdo09PX1AXj9+jUVK1bkl19+4cKFC3z99dd07tyZP/74I9M5u3fvzsaNG4mLiwPeXnbUsGFDChcurLHf4cOH6dKlCwMGDODSpUssXbqUsLAwpkyZoq65VatWGBoacvz4cZYsWcKIESMyPPe9e/fw9fXFyMiIgwcPcurUKbp3767RkfNvK1euxMzMjOPHjzNjxgyCgoI0Oj7atm3LgwcP2L17N6dOnaJChQrUrVuXx48fZ/q1eZ+UlBQOHz7M5cuXMTQ0VK/v168fR48eZcOGDZw7d462bdvSsGFDrly5ot4nLi6OkJAQVq9ezW+//cbt27cZOnSoevuLFy/w9/fnyJEjHDt2DDc3Nxo3bsyLFy80ahg3bhytW7fm7NmzdOrUiQ4dOhAZGZljGbMrMSGByEsXqepTTb1OT0+PqlWrce7saS1WlnWSSWiLEttJiZlAmbkkk25QYiYlUmI7KTETKDeXyDs++U6X6OhoQkJCKFq0KB4eHur1Xbt2pWPHjri6ujJ16lRiY2PVHR1du3YlKipK/TgxMZF169bRvXt3AG7fvo2dnR316tWjWLFiVKlShV69eqV7/v379/PHH3+wdetW6tevj4uLC02bNqVRo0YAFC1alKFDh1KuXDlcXFz49ttvadiwIRs3bsx01vLly6tHSqSkpBAWFqau+V0TJ05k5MiR+Pv74+LiQv369Zk0aRJLly5V13z58mVWrVpF2bJl8fX1ZerUqRmee+HChVhZWbFhwwYqVaqEu7s73bp103jN/61MmTIEBgbi5uZGly5dqFSpEgcOHADgyJEj/PHHH2zatIlKlSrh5uZGSEgI1tbWOTISZNGiRZibm2NkZISvry/Jycnq0Uq3b98mNDSUTZs2UbNmTUqUKMHQoUOpUaOGRmdcYmIiS5YsoVKlSlSoUIF+/fqp6weoU6cOX331FZ6ennh5ebFs2TLi4uI4dOiQRi1t27alZ8+euLu7M2nSJCpVqsR333333trj4+N5/vy5xhIfH5/t1+R9njx9QlJSEjY2NhrrbWxsePToUa6dNzdJJqEtSmwnJWYCZeaSTLpBiZmUSIntpMRMoNxcuUWlxX+66pPtdHFwcMDMzIwiRYrw8uVLtmzZojGSoUyZMur/m5mZYWlpyYMHDwAoUqQITZo0UV+q89NPPxEfH0/btm2Bt78kv3r1ChcXF3r16sW2bdveO6LjzJkzODg44O7unu72pKQkJk2aROnSpSlQoADm5ubs3buX27dvZyl36iidQ4cO8fLlSxo3bpxmn7NnzxIUFIS5ubl6SZ3jJC4ujsjISBwdHSlSpIj6OT4+Phme98yZM9SsWRMDA4OPrvXdNgCwt7dXt8HZs2eJjY3FxsZGo84bN26oL1n6t0aNGqn38/b2zvDcnTp14syZM0RERNCoUSPGjBlDtWpve7/Pnz9PUlIS7u7uGuc+dOiQxrlNTU0pUaJEuvUD/PPPP/Tq1Qs3NzesrKywtLQkNjY2Tdv++7X18fHJcKRLcHAwVlZWGsvM6cEZ5hVCCCGEEEIIkfM+bpZTBTp8+DCWlpYUKlQICwuLNNv/3TmgUqlITk5WP+7ZsyedO3dmzpw5hIaG0r59e/XkuI6OjkRFRbF//3727dtHQEAAM2fO5NChQ2mOm3pp0/vMnDmTefPmMXfuXEqXLo2ZmRkDBw7UuBQqMzp16sTw4cOZMGECnTt3Tnei29jYWCZOnEirVq3SbDM2Ns7SeT+UMz0ZtUFsbCz29vbpzqPyvgl5ly9fzqtXr9I99r9ZWVnh6uoKwMaNG3F1daVq1arUq1eP2NhY9PX1OXXqlPoysFTm5uYZ1v/uHZD8/f2JiYlh3rx5FC9eHCMjI3x8fLLctqlGjRrF4MGDNdal6Btl65gZyW+dH319/TQTjcXExGBra5tr581NkkloixLbSYmZQJm5JJNuUGImJVJiOykxEyg3l8g7PtmRLs7OzpQoUSLdDpeP0bhxY8zMzFi8eDF79uxJc5mOiYkJzZo1Y/78+YSHh3P06FHOnz+f5jhlypTh7t27/PXXX+meJyIighYtWvDVV19RtmxZXFxc3rvvxyhQoADNmzfn0KFD6V5aBFChQgWioqJwdXVNs+jp6eHl5cWdO3c0JoU9duxYhuctU6YMhw8fJjExMcu1/7vGv//+m3z58qWp8X0fjkWLFlXvU7x48Y8+l7m5OQMGDGDo0KGkpKRQvnx5kpKSePDgQZpz29nZffRxIyIi6N+/P40bN8bb2xsjI6N0hzD++7U9duxYurf/TmVkZISlpaXGYmSUe50uBoaGeJX05vix/7szVnJyMsePH6VM2fK5dt7cJJmEtiixnZSYCZSZSzLpBiVmUiIltpMSM4Fyc+UWPZX2Fl31yY50yS59fX26du3KqFGjcHNz07gEJCwsjKSkJD777DNMTU1Zs2YNJiYm6f6iX6tWLXx9fWndujWzZ8/G1dWVy5cvo1KpaNiwIW5ubmzevJnff/+d/PnzM3v2bP755x9KliyZ5drDwsJYtGhRmusWU40fP56mTZtSrFgx2rRpg56eHmfPnuXChQtMnjyZevXq4e7ujr+/PzNnzuT58+eMGTMmw3P269eP7777jg4dOjBq1CisrKw4duwYVapUyXBel/epV68ePj4++Pn5MWPGDNzd3bl//z6//PILLVu2pFKlSpk+ZkZ69+7NpEmT2LJlC23atKFTp0506dKFWbNmUb58eR4+fMiBAwcoU6YMTZo0+ahjurm5sXr1aipVqsTz588ZNmxYuiOCUuetqVGjBmvXruWPP/5gxYoVOZovuzr7d2Pc6BF4e5eiVOkyrFm9klevXuHXMu1oKV0hmXRDXNxLjUvy7t27y+XLkVhZWWFvXySDZ+ZdSmwnJWYCZeaSTLpBiZnk81w3KDETKDeXyBuk0yUbevTowdSpU+nWrZvGemtra6ZNm8bgwYNJSkqidOnS/PTTT+/t5NiyZQtDhw6lY8eOvHz5EldXV6ZNmwbA2LFjuX79Og0aNMDU1JSvv/4aPz8/nj17luW6TUxMMrzcp0GDBvz8888EBQUxffp0DAwM8PT0pGfPnsDb2by3bdtGjx49qFKlCk5OTsyfP5+GDRu+95g2NjYcPHiQYcOGUatWLfT19SlXrhzVq1fPUgaVSsWuXbsYM2YM3bp14+HDh9jZ2eHr65vmbkw5oUCBAnTp0oUJEybQqlUrQkNDmTx5MkOGDOHevXvY2tpStWpVmjZt+tHHXLFiBV9//TUVKlTA0dGRqVOnatzdKNXEiRPZsGEDAQEB2Nvbs379+mx1uuWGho0a8+TxYxYtmM+jRw/x8PRi0dLl2OjwkEzJpBsuXrhAr+5d1I9nzXg7f1GzFi2ZNGWatsrKFiW2kxIzgTJzSSbdoMRM8nmuG5SYCZSbKzfo8oS22qJKeXeSCZEphw8fpm7duty5cydXftEXIqe8fv+duYXIVUr8DqOSnzWEEJ8g+TwXImcZ6+jwh4OXYz68Uy6p45n+IIa8TkebWrvi4+N5+PAhEyZMoG3bttLhIoQQQgghhBBCiDQ+2Yl0s2P9+vUUL16cp0+fMmPGDG2XI4QQQgghhBBC5DqVSnuLrpLLi4T4BMjlRUJblPgdRpe/6QshRFbJ57kQOUtXLy/6NUp7lxd97iGXFwkhhBBCCCEUSDoohBAgE+lmhVxeJIQQQgghhBBCCJELZKSLEEIIIYQQQgghPkhPBrpkmox0EUIIIYQQQgghhMgF0ukiRCapVCq2b98OwM2bN1GpVJw5c0arNQkhhBBCCCGEyHuk00UoVnh4OCqVSr0ULlyY1q1bc/369Rw7h6OjI9HR0ZQqVeqjn9O1a1f8/PxyrIa8YsO6tTSqX4fK5UvTqUNbzp87p+2Ssk0y5X2nTp6gf98+1P+8BuVKeXDwwH5tl5QjlNZOoMxMoMxckkk3SCbdIJl0h1Jz5TSVFv/pKul0EYoXFRXF/fv32bRpExcvXqRZs2YkJSXlyLH19fWxs7MjX76cnx4pMTExx4+ZW/bs3kXIjGB6B/Rlw6ZteHh48k3vHsTEaO+WctklmXTDq1dxuHt4MGpMoLZLyTFKbCclZgJl5pJMukEy6QbJpDuUmkvkDdLpIhSvUKFC2Nvb4+vry/jx47l06RJXr14FYPHixZQoUQJDQ0M8PDxYvXq1xnOvXLmCr68vxsbGlCxZkn379mls//flRUlJSfTo0QNnZ2dMTEzw8PBg3rx56v0nTJjAypUr2bFjh3oETnh4uPo4P/74I7Vq1cLY2Jhly5ZhaWnJ5s2bNc65fft2zMzMePHiRS68WlmzemUordq0w69la0q4ujI2cCLGxsZs37pF26VlmWTSDTVq1qJf/0HUqVdf26XkGCW2kxIzgTJzSSbdIJl0g2TSHUrNlRtUKu0tuko6XcQnxcTEBICEhAS2bdvGgAEDGDJkCBcuXKB3795069aNX3/9FYDk5GRatWqFoaEhx48fZ8mSJYwYMSLD4ycnJ+Pg4MCmTZu4dOkS48ePZ/To0WzcuBGAoUOH0q5dOxo2bEh0dDTR0dFUq1ZN/fyRI0cyYMAAIiMjadWqFR06dCA0NFTjHKGhobRp0wYLC4ucfGmyLDEhgchLF6nq83859PT0qFq1GufOntZiZVknmYS2KLGdlJgJlJlLMukGyaQbJJPuUGoukXfILaPFJyM6OpqQkBCKFi2Kh4cHffr0oWvXrgQEBAAwePBgjh07RkhICJ9//jn79+/n8uXL7N27lyJFigAwdepUGjVq9N5zGBgYMHHiRPVjZ2dnjh49ysaNG2nXrh3m5uaYmJgQHx+PnZ1dmucPHDiQVq1aqR/37NmTatWqER0djb29PQ8ePGDXrl3s3//+eSvi4+OJj4/XWJeib4SRkdHHvVCZ9OTpE5KSkrCxsdFYb2Njw40bOTd/zn9JMgltUWI7KTETKDOXZNINkkk3SCbdodRcIu+QkS5C8RwcHDAzM6NIkSK8fPmSLVu2YGhoSGRkJNWrV9fYt3r16kRGRgIQGRmJo6OjusMFwMfH54PnW7hwIRUrVqRgwYKYm5uzbNkybt++/VG1VqpUSeNxlSpV8Pb2ZuXKlQCsWbOG4sWL4+vr+95jBAcHY2VlpbHMnB78UecXQgghhBBCiPdRaXHRVTLSRSje4cOHsbS0pFChQrl+Sc6GDRsYOnQos2bNwsfHBwsLC2bOnMnx48c/6vlmZmZp1vXs2ZOFCxcycuRIQkND6datG6oMLmocNWoUgwcP1liXop87o1wA8lvnR19fP81EYzExMdja2ubaeXOTZBLaosR2UmImUGYuyaQbJJNukEy6Q6m5RN4hI12E4jk7O1OiRIk0HS5eXl5ERERorIuIiKBkyZLq7Xfu3CE6Olq9/dixYxmeKyIigmrVqhEQEED58uVxdXXl2rVrGvsYGhpm6u5JX331Fbdu3WL+/PlcunQJf3//DPc3MjLC0tJSY8mtS4sADAwN8SrpzfFjR9XrkpOTOX78KGXKls+18+YmySS0RYntpMRMoMxckkk3SCbdIJl0h1Jz5RY9lUpri66SkS7ikzVs2DDatWtH+fLlqVevHj/99BNbt25Vz5dSr1493N3d8ff3Z+bMmTx//pwxY8ZkeEw3NzdWrVrF3r17cXZ2ZvXq1Zw4cQJnZ2f1Pk5OTuzdu5eoqChsbGywsrLK8Jj58+enVatWDBs2jC+++AIHB4fsh89hnf27MW70CLy9S1GqdBnWrF7Jq1ev8GvZ6sNPzqMkk26Ii3upcfnevXt3uXw5EisrK+zti2TwzLxLie2kxEygzFySSTdIJt0gmXSHUnOJvEE6XcQny8/Pj3nz5hESEsKAAQNwdnYmNDSU2rVrA29nLd+2bRs9evSgSpUqODk5MX/+fBo2bPjeY/bu3ZvTp0/Tvn17VCoVHTt2JCAggN27d6v36dWrF+Hh4VSqVInY2Fh+/fVXnJycMqy1R48erFu3ju7du+dE9BzXsFFjnjx+zKIF83n06CEenl4sWrocGx0ekimZdMPFCxfo1b2L+vGsGW/nL2rWoiWTpkzTVlnZosR2UmImUGYuyaQbJJNukEy6Q6m5coPujjfRHlVKSkqKtosQQmRs9erVDBo0iPv372NoaJjp579+kwtFCfERlPgdRodHtwohhBAijzDW0eEPx64+1dq5q7paa+3c2aGjTS3EpyEuLo7o6GimTZtG7969s9ThIoQQQgghhBBCO2QiXSHysBkzZuDp6YmdnR2jRo3SdjlCCCGEEEKIT5mO3DN6woQJqFQqjcXT01O9/fXr1/Tt2xcbGxvMzc1p3bo1//zzT6Zfjo8hnS5C5GETJkwgMTGRAwcOYG5uru1yhBBCCCGEEEIneHt7Ex0drV6OHDmi3jZo0CB++uknNm3axKFDh7h//z6tWuXOxMlyeZEQQgghhBA5KDEpWdsl5Lh8esr7W60Sp7ZUKXTiMYXG0kkqHZpKN1++fNjZ2aVZ/+zZM1asWMG6deuoU6cOAKGhoXh5eXHs2DGqVq2ao3Uo79NTCCGEEEIIIYQQihIfH8/z5881lvj4+Pfuf+XKFYoUKYKLiwudOnXi9u3bAJw6dYrExETq1aun3tfT05NixYpx9OjRHK9bOl2EEEIIIYQQQgiRpwUHB2NlZaWxBAcHp7vvZ599RlhYGHv27GHx4sXcuHGDmjVr8uLFC/7++28MDQ2xtrbWeE7hwoX5+++/c7xu6XTRMeHh4ahUKp4+ffrefSZMmEC5cuX+s5qUQKVSsX379mwdo3bt2gwcODBH6hFCCCGEEEKIvEal0t4yatQonj17prG872YjjRo1om3btpQpU4YGDRqwa9cunj59ysaNG//jV0w6XbIkteMjdSlcuDCtW7fm+vXr2i4NgKFDh3LgwIFMPScnOh0+5NWrV5iZmXH16tX31pC6WFlZUb16dQ4ePJirNYmcs2HdWhrVr0Pl8qXp1KEt58+d03ZJ2SaZ8r5TJ0/Qv28f6n9eg3KlPDh4YL+2S8oRSmsnUGYmUGYuyZS3LV20gEplvDSW1s0ba7usbFPa5/nGH9fTrlVzalStSI2qFenSqT1HDv+m7bKyTWnt9C4lfU4olZGREZaWlhqLkZHRRz3X2toad3d3rl69ip2dHQkJCWkGMvzzzz/pzgGTXdLpkg1RUVHcv3+fTZs2cfHiRZo1a0ZSUpK2y8Lc3BwbG5scP25CQkK2nr9v3z6KFy+Oq6vre/cJDQ0lOjqaiIgIbG1tadq0aZ7pzBLvt2f3LkJmBNM7oC8bNm3Dw8OTb3r3ICYmRtulZZlk0g2vXsXh7uHBqDGB2i4lxyixnZSYCZSZSzLpBpcSruw5+Jt6WbFyrbZLyjalfZ4XLlyYbwcOYe2PW1i7YTNVPqvKoP59uXb1irZLyxaltVMqJX5O5BYduWN0GrGxsVy7dg17e3sqVqyIgYGBxkCFqKgobt++jY+PTzbPlJZ0umRDoUKFsLe3x9fXl/Hjx3Pp0iWuXr3KkydP6NSpEwULFsTExAQ3NzdCQ0MBqFOnDv369dM4zsOHDzE0NFQ3enx8PCNGjMDR0REjIyNcXV1ZsWKFxnNOnTpFpUqVMDU1pVq1akRFRam3/fvyohMnTlC/fn1sbW2xsrKiVq1a/Pnnn+rtTk5OALRs2RKVSqV+nHqc5cuX4+zsjLGxMatWrcLGxibNhEV+fn507tw5w9drx44dNG/ePMN9rK2tsbOzo1SpUixevJhXr16xb98+UlJSmDBhAsWKFcPIyIgiRYrQv39/AIKCgihVqlSaY5UrV45x48apH//www94e3tjZGSEvb19mnZ49OgRLVu2xNTUFDc3N3bu3Kmx/dChQ1SpUkX9/JEjR/LmzZv3Znny5AldunQhf/78mJqa0qhRI65c0fxG+/333+Po6IipqSktW7Zk9uzZ6msLb968iZ6eHidPntR4zty5cylevDjJyXnnzgirV4bSqk07/Fq2poSrK2MDJ2JsbMz2rVu0XVqWSSbdUKNmLfr1H0SdevW1XUqOUWI7KTETKDOXZNIN+fLlw9a2oHqxzp9f2yVlm9I+z2vVrkNN31oUL+5EcSdn+vUfhKmpKefOndV2admitHZKpcTPiU/d0KFDOXToEDdv3uT333+nZcuW6Ovr07FjR6ysrOjRoweDBw/m119/5dSpU3Tr1g0fH58cv3MRSKdLjjExMQHejgYZN24cly5dYvfu3URGRrJ48WJsbW0B6NmzJ+vWrdPotFizZg1FixZV366qS5curF+/nvnz5xMZGcnSpUsxNzfXON+YMWOYNWsWJ0+eJF++fHTv3v29tb148QJ/f3+OHDnCsWPHcHNzo3Hjxrx48QJ42ykD/zfKJPUxwNWrV9myZQtbt27lzJkztG3blqSkJI0OiQcPHvDLL79kWENycjI///wzLVq0+KjXEzRf0y1btjBnzhyWLl3KlStX2L59O6VLlwage/fuREZGatR9+vRpzp07R7du3QBYvHgxffv25euvv+b8+fPs3LkzzYibiRMn0q5dO86dO0fjxo3p1KkTjx8/BuDevXs0btyYypUrc/bsWRYvXsyKFSuYPHnye+vv2rUrJ0+eZOfOnRw9epSUlBQaN25MYmIiABEREfTp04cBAwZw5swZ6tevz5QpU9TPd3Jyol69euoOu1ShoaF07doVvTxy68bEhAQiL12kqk819To9PT2qVq3GubOntVhZ1kkmoS1KbCclZgJl5pJMuuP2rVs0rOtLi0b1GTtyGH9H39d2SSIDSUlJ7Nn9C69exVGmbDltlyP+RamfE7lGR4a63L17l44dO+Lh4UG7du2wsbHh2LFjFCxYEIA5c+bQtGlTWrduja+vL3Z2dmzdujVLL8mH5MuVo35ioqOjCQkJoWjRonh4eHD79m3Kly9PpUqVgP8bSQLQqlUr+vXrx44dO2jXrh0AYWFhdO3aFZVKxV9//cXGjRvZt2+f+hZWLi4uac45ZcoUatWqBcDIkSNp0qQJr1+/xtjYOM2+qZ05qZYtW4a1tTWHDh2iadOm6jde6iiTdyUkJLBq1Sr1PgBffvkloaGhtG3bFnjbaVSsWDFq16793tfo2LFjwNtZpD9GXFwcY8eORV9fn1q1arF//37s7OyoV68eBgYGFCtWjCpVqgDg4OBAgwYNCA0NpXLlysDbjolatWqpX7vJkyczZMgQBgwYoD5H6r6punbtSseOHQGYOnUq8+fP548//qBhw4YsWrQIR0dHFixYgEqlwtPTk/v37zNixAjGjx+fpgPkypUr7Ny5k4iICKpVe/sBvnbtWhwdHdm+fTtt27blu+++o1GjRgwdOhQAd3d3fv/9d37++Wf1cXr27EmfPn2YPXs2RkZG/Pnnn5w/f54dO3a897WLj49PMxIpRd/oo693zKwnT5+QlJSU5pI2GxsbbtzQzUvDJJPQFiW2kxIzgTJzSSbdUKp0GSZMnkpxJ2cePXzI90sW0rPrV/y49SfMzMy0XZ54x5W/ovD/qiMJCfGYmJoya+4CSpR4/2X2QjuU+DkhYMOGDRluNzY2ZuHChSxcuDDXa8kbfyrXUQ4ODpiZmVGkSBFevnzJli1bMDQ05JtvvmHDhg2UK1eO4cOH8/vvv6ufY2xsTOfOnfnhhx8A+PPPP7lw4QJdu3YF4MyZM+qOhoyUKVNG/X97e3vg7YiT9Pzzzz/06tULNzc3rKyssLS0JDY2Vn2f8owUL15co8MFoFevXvzvf//j3r17gGan0fvs2LGDpk2bfnB0RseOHTE3N8fCwoItW7awYsUKypQpQ9u2bXn16hUuLi706tWLbdu2aVza06tXL9avX8/r169JSEhg3bp16pE3Dx484P79+9StWzfDc7/7mpqZmWFpaal+TSMjI/Hx8dHIWL16dWJjY7l7926aY0VGRpIvXz6NTiYbGxs8PDyIjIwE3l43mNpxlOrfj/38/NDX12fbtm3A29f6888/1+jI+7f0bqU2c3r6t1ITQgghhG6pXtOXel80xM3dA5/qNZi3cCkvXrxg397d2i5N/IuTszMbNm9j1dofaduuA+PHjuTatfRvKCGEUC4Z6ZINhw8fxtLSkkKFCmFhYaFe36hRI27dusWuXbvYt28fdevWpW/fvoSEhABvRy+UK1eOu3fvEhoaSp06dShevDjwf5fUfIiBgYH6/6kdAe+b48Pf35+YmBjmzZtH8eLFMTIywsfH56Mmxk3vLybly5enbNmyrFq1ii+++IKLFy/yyy+/ZHicnTt3Mm3atA+eb86cOdSrVw8rKyuNzh5HR0eioqLYv38/+/btIyAggJkzZ3Lo0CEMDAxo1qwZRkZGbNu2DUNDQxITE2nTpg2QtdcU3r6u2p43xdDQkC5duhAaGkqrVq1Yt24d8+bNy/A5o0aNYvDgwRrrUvRzZ5QLQH7r/Ojr66eZaCwmJkZ9WZ2ukUxCW5TYTkrMBMrMJZl0k4WlJcWLO3H3zof/mCb+WwYGhhQr9vZn/JLepbh44QLr16xibGCQlisT7/oUPidykirbU9p+emSkSzY4OztTokQJjQ6XVAULFsTf3581a9Ywd+5cli1bpt5WunRpKlWqxPfff68xIiN1W3JyMocOHcqxOiMiIujfvz+NGzdWTyT76NEjjX0MDAwydeelnj17EhYWRmhoKPXq1cPR0fG9+165coVbt25Rv/6HJ9yys7PD1dU1zegaeNt50qxZM+bPn094eDhHjx7l/PnzwNsJ5fz9/QkNDSU0NJQOHTqoO1ssLCxwcnLK9G203+Xl5aWelyVVREQEFhYWODg4pLv/mzdvOH78uHpdTEwMUVFRlCxZEgAPDw+NeWiANI/h7Wu9f/9+Fi1axJs3b2jVqlWGtWbnVmpZYWBoiFdJb44fO6pel5yczPHjRylTtnyunTc3SSahLUpsJyVmAmXmkky6KS7uJXfv3MHWNu3PTiJvSUlJzvbdQEXO+xQ+J4R2yUiXXDB+/HgqVqyIt7c38fHx/Pzzz3h5eWns07NnT/r164eZmRktW7ZUr3dycsLf35/u3bszf/58ypYty61bt3jw4IF6DpjMcnNzY/Xq1VSqVInnz58zbNiwNKM/UjslqlevjpGREfk/MAv+l19+ydChQ/n+++9ZtWpVhvvu2LGDevXqYWpqmqX64e1lNUlJSXz22WeYmpqyZs0aTExM1COE4O1rmvo6R0REaDx/woQJ9OnTh0KFCtGoUSNevHhBREQE33777UedPyAggLlz5/Ltt9/Sr18/oqKiCAwMZPDgweleMuXm5kaLFi3o1asXS5cuxcLCgpEjR1K0aFH1ZMLffvstvr6+zJ49m2bNmnHw4EF2796d5jItLy8vqlatyogRI+jevftHj9z5L3X278a40SPw9i5FqdJlWLN6Ja9evcKvZcYdRHmZZNINcXEvNS6VvHfvLpcvR2JlZYW9fREtVpZ1SmwnJWYCZeaSTHnf3JAZ1KxdG3v7ojx8+ICli75DT1+PBo2aaLu0bFHa5/n8ubOoXsMXe3t7Xr58ye5dP3PyxB8sWrJc26Vli9LaKZXSPidyUwYzSoj3kE6XXGBoaMioUaO4efMmJiYm1KxZM81EPh07dmTgwIF07NgxzeS3ixcvZvTo0QQEBBATE0OxYsUYPXp0lutZsWIFX3/9NRUqVMDR0ZGpU6eqJ29NNWvWLAYPHsz3339P0aJFuXnzZobHtLKyonXr1vzyyy/4+flluO+OHTvw9/fPcv3wdpLfadOmMXjwYJKSkihdujQ//fSTxoRXbm5uVKtWjcePH6eZsNff35/Xr18zZ84chg4diq2trfryo49RtGhRdu3axbBhwyhbtiwFChSgR48ejB079r3PCQ0NZcCAATRt2pSEhAR8fX3ZtWuX+jKm6tWrs2TJEiZOnMjYsWNp0KABgwYNYsGCBWmO1aNHD37//fcM7xClTQ0bNebJ48csWjCfR48e4uHpxaKly7HR4SGZkkk3XLxwgV7du6gfz5rxdv6iZi1aMmnKhy9pzIuU2E5KzATKzCWZ8r5/HvzNmBFDefb0KfnzF6BshQqErdlA/gIFtF1atijt8/zx48eMGzOCRw8fYm5hgZubB4uWLKdqteraLi1blNZOqZT2OSHyFlXKu9dLiP/MzZs3KVGiBCdOnKBChQraLidL6tati7e3N/Pnz3/vPo8ePcLe3p67d+9SuHDhXK0nJSUFNzc3AgIC0sxpoit69erF5cuXOXz4sMb6SZMmsWnTJs6dO5el475+8+F9hMgNSvwOI3/hEUJ8SGKSdueEyw35PnAzBF2kxF+DMrqxhS5TYixjHR3+cOrmc62du6KTpdbOnR062tS6KzExkZiYGMaOHUvVqlV1ssPlyZMnhIeHEx4ezqJFizLc9/Hjx8yePTvXO1wePnzIhg0b+Pvvv+nWrVuunisnhYSEUL9+fczMzNi9ezcrV67UeE1jY2O5efMmCxYsYPLkyVqsVAghhBBCCPGpU2D/V66TTpf/WEREBJ9//jnu7u5s3rxZ2+VkSfny5Xny5AnTp0/Hw8Mjw33d3d1xd3fP9ZoKFSqEra0ty5Yt++B8NHnJH3/8wYwZM3jx4gUuLi7Mnz+fnj17qrf369eP9evX4+fnl2cvLRJCCCGEEEIIkT65vEiIT4BcXiS0RYnfYZQ4xFkIkbPk8iLdoMRfg+TyIt2hq5cX/XlLe5cXVSium5cXKe/TUwghhBBCCCGEECIP0NH+NSGEELpAiX+ZEkKIDzHQV97fNS/ff6HtEnKcZxELbZeQ4xQ4eAdQbi5dpJJZXTJNed8RhBBCCCGEEEIIIfIA6XQRQgghhBBCCCGEyAXS6SLE/xcWFoa1tbX68YQJEyhXrtxHP//mzZuoVCrOnDmT47UJIYQQQgghhLapVNpbdJV0ugidEh4ejkqlUi8FCxakcePGnD9/PsfPNXToUA4cOJDjx1WqDevW0qh+HSqXL02nDm05f+6ctkvKNsmkGySTblBiJlBmLsmkG5SUafuGMNrXr0TYolnqdcvmTqF/lxZ81aQ6PdvUY+b4wdy7fVN7RWaRktoJ4NTJE/Tv24f6n9egXCkPDh7Yr+2Ssk2JmUTeIp0uQidFRUURHR3N3r17iY+Pp0mTJiQkJOToOczNzbGxscnRYyrVnt27CJkRTO+AvmzYtA0PD0++6d2DmJgYbZeWZZJJN0gm3aDETKDMXJJJNygp09Woi+z/ZSvFXNw01ru4edFnaCCzV2xidPACUlJSmDKyL8lJSVqqNPOU1E6pXr2Kw93Dg1FjArVdSo5RYqbcpNLioquk00XopEKFCmFnZ0eFChUYOHAgd+7c4fLly+rts2fPpnTp0piZmeHo6EhAQACxsbEaxwgLC6NYsWKYmprSsmXLNN8A/315UXJyMkFBQTg4OGBkZES5cuXYs2dPhnUeOnSIKlWqYGRkhL29PSNHjuTNmzfq7S9evKBTp06YmZlhb2/PnDlzqF27NgMHDgQgKCiIUqVKpTluuXLlGDdu3Me+XLlu9cpQWrVph1/L1pRwdWVs4ESMjY3ZvnWLtkvLMsmkGySTblBiJlBmLsmkG5SS6fWrOBYEj+PrQWMwN9e8k1C9Jq0oWaYCheyK4OLmSftuAcQ8/IcH/0RrqdrMU0o7vatGzVr06z+IOvXqa7uUHKPETCJvkU4XodOePXvGhg0bADA0NFSv19PTY/78+Vy8eJGVK1dy8OBBhg8frt5+/PhxevToQb9+/Thz5gyff/45kydPzvBc8+bNY9asWYSEhHDu3DkaNGhA8+bNuXLlSrr737t3j8aNG1O5cmXOnj3L4sWLWbFihcZ5Bg8eTEREBDt37mTfvn0cPnyYP//8U729e/fuREZGcuLECfW606dPc+7cObp165a5FyuXJCYkEHnpIlV9qqnX6enpUbVqNc6dPa3FyrJOMukGyaQblJgJlJlLMukGJWVa8d10yn9WnTIVPstwv9evXhG+dyeF7IpiW7Dwf1Rd9iipnYQQ2ZNP2wUIkRUODg4AvHz5EoDmzZvj6emp3p46UgTAycmJyZMn06dPHxYtWgS87UBp2LChuiPG3d2d33//PcORKyEhIYwYMYIOHToAMH36dH799Vfmzp3LwoUL0+y/aNEiHB0dWbBgASqVCk9PT+7fv8+IESMYP348L1++ZOXKlaxbt466desCEBoaSpEiRTRyNmjQgNDQUCpXrqzep1atWri4uKRbZ3x8PPHx8RrrUvSNMDIyem+27Hjy9AlJSUlpLsWysbHhxo3ruXLO3CaZdINk0g1KzATKzCWZdINSMkX8upcbVy4zdeGq9+6zd+cm1n4/n/jXryjiWJwx0xeSz8DgP6wy65TSTkKkocvX+WiJjHQROunw4cOcOnWKsLAw3N3dWbJkicb2/fv3U7duXYoWLYqFhQWdO3cmJiaGuLg4ACIjI/nsM82/qvj4+Lz3fM+fP+f+/ftUr15dY3316tWJjIxM9zmRkZH4+Pigemeq7erVqxMbG8vdu3e5fv06iYmJVKlSRb3dysoKDw8PjeP06tWL9evX8/r1axISEli3bh3du3d/b63BwcFYWVlpLDOnB793fyGEEEKI/9KjB3+zctEsvh01GUPD9/9RqGbdRkxfvJbAWcuwL1qMuZNHkpAQ/979hRAiL5KRLkInOTs7Y21tjYeHBw8ePKB9+/b89ttvwNtbNzdt2pRvvvmGKVOmUKBAAY4cOUKPHj1ISEjA1NRUy9VnTrNmzTAyMmLbtm0YGhqSmJhImzZt3rv/qFGjGDx4sMa6FP3cGeUCkN86P/r6+mnmxImJicHW1jbXzpubJJNukEy6QYmZQJm5JJNuUEKmG1cu8+zpY0Z+85V6XXJyEpHnT7N3x0bW7vodPX19TM3MMTUzx96hGO5epene6nNOHPmV6nUaarH6j6OEdhIiPSoZ6pJpMtJF6Ly+ffty4cIFtm3bBsCpU6dITk5m1qxZVK1aFXd3d+7fv6/xHC8vL44fP66x7tixY+89h6WlJUWKFCEiIkJjfUREBCVLlkz3OV5eXhw9epSUlBSN/S0sLHBwcMDFxQUDAwON+VqePXvGX3/9pXGcfPny4e/vT2hoKKGhoXTo0AETE5P31mpkZISlpaXGkluXFgEYGBriVdKb48eOqtclJydz/PhRypQtn2vnzU2SSTdIJt2gxEygzFySSTcoIVOp8pWZuWwD05esVS8u7iWpUach05esRU9fP81zUlJSSElJITExUQsVZ54S2kkIkTNkpIvQeaampvTq1YvAwED8/PxwdXUlMTGR7777jmbNmhEREZHm8qP+/ftTvXp1QkJCaNGiBXv37v3gnYiGDRtGYGAgJUqUoFy5coSGhnLmzBnWrl2b7v4BAQHMnTuXb7/9ln79+hEVFUVgYCCDBw9GT08PCwsL/P39GTZsGAUKFKBQoUIEBgaip6encUkSQM+ePfHy8gJI0/GTF3T278a40SPw9i5FqdJlWLN6Ja9evcKvZSttl5Zlkkk3SCbdoMRMoMxckkk36HomE1Mzijm7aqwzNjbG3NKaYs6u/BN9l9/D91G2YlUsrfMT8/AfdmwIw9DQmPJVqr/nqHmPrrdTeuLiXnL79m3143v37nL5ciRWVlbY2xfJ4Jl5lxIz5SaVDHTJNOl0EYrQr18/Zs+ezaZNm2jXrh2zZ89m+vTpjBo1Cl9fX4KDg+nSpYt6/6pVq/L9998TGBjI+PHjqVevHmPHjmXSpEnvPUf//v159uwZQ4YM4cGDB5QsWZKdO3fi5uaW7v5FixZl165dDBs2jLJly1KgQAF69OjB2LFj1fvMnj2bPn360LRpUywtLRk+fDh37tzB2NhY41hubm5Uq1aNx48fp5mLJi9o2KgxTx4/ZtGC+Tx69BAPTy8WLV2OjQ4Pn5VMukEy6QYlZgJl5pJMukGJmd5lYGDE5fOn2b11PbGxz7HOb4Nn6fJMmrcCq/wFtF3eR1NiO128cIFe3f/vZ+pZM97OG9isRUsmTZmmrbKyRYmZRN6iSnn32gchhFa9fPmSokWLMmvWLHr06KFen5KSgpubGwEBAWnma/kYr9/kZJVCCCGE+NRcvv9C2yXkOM8iFtouIcfJb3a6w0Q3bsSVxvm7sVo7d2kHc62dOztkpIsQWnT69GkuX75MlSpVePbsGUFBQQC0aNFCvc/Dhw/ZsGEDf//9N926ddNWqUIIIYQQQohPnFxdlHnS6SKEloWEhBAVFYWhoSEVK1bk8OHDGrPaFypUCFtbW5YtW0b+/Pm1WKkQQgghhBBCiMyQThchtKh8+fKcOnUqw33kCkAhhBBCCCFEniBDXTJNOl2EEEIIIYQQGfKwV978J0okd5YRIu/R03YBQgghhBBCCCGEEEokI12EEEIIIYQQQgjxQSq5vijTZKSLEEIIIYQQQgghRC6QTheR42rXrs3AgQO1XcZ/rmvXrvj5+Wm7DCGEEEIIIYTIFSqV9hZdJZ0u4qOFh4ejUqnUS8GCBWncuDHnz5/Xdmk5SjpPsmbDurU0ql+HyuVL06lDW86fO6ftkrJNMukGyaQblJgJlJlLMukGpWU6dfIE/fv2of7nNShXyoODB/Zru6QcobR2AmVmAuXmEtonnS4i06KiooiOjmbv3r3Ex8fTpEkTEhIStF2W0KI9u3cRMiOY3gF92bBpGx4ennzTuwcxMTHaLi3LJJNukEy6QYmZQJm5JJNuUGKmV6/icPfwYNSYQG2XkmOU2E5KzATKzZUbVFpcdJV0uohMK1SoEHZ2dlSoUIGBAwdy584dLl++rLFPcnIyw4cPp0CBAtjZ2TFhwgSN7U+fPqVnz54ULFgQS0tL6tSpw9mzZ9Xb0xttMnDgQGrXrq1+XLt2bb799lsGDhxI/vz5KVy4MN9//z0vX76kW7duWFhY4Orqyu7du9XPSUpKokePHjg7O2NiYoKHhwfz5s1Tb58wYQIrV65kx44d6hE94eHhAJw/f546depgYmKCjY0NX3/9NbGxse99neLj4+nfvz+FChXC2NiYGjVqcOLECY19du7ciZubG8bGxnz++eesXLkSlUrF06dPefnyJZaWlmzevFnjOdu3b8fMzIwXL16899z/tdUrQ2nVph1+LVtTwtWVsYETMTY2ZvvWLdouLcskk26QTLpBiZlAmbkkk25QYqYaNWvRr/8g6tSrr+1ScowS20mJmUC5uUTeIJ0uIsuePXvGhg0bADA0NNTYtnLlSszMzDh+/DgzZswgKCiIffv2qbe3bduWBw8esHv3bk6dOkWFChWoW7cujx8/zlQNK1euxNbWlj/++INvv/2Wb775hrZt21KtWjX+/PNPvvjiCzp37kxcXBzwtjPIwcGBTZs2cenSJcaPH8/o0aPZuHEjAEOHDqVdu3Y0bNiQ6OhooqOjqVatGi9fvqRBgwbkz5+fEydOsGnTJvbv30+/fv3eW9vw4cPZsmULK1eu5M8//8TV1ZUGDRqoM964cYM2bdrg5+fH2bNn6d27N2PGjFE/38zMjA4dOhAaGqpx3NDQUNq0aYOFhUWmXqvckpiQQOSli1T1qaZep6enR9Wq1Th39rQWK8s6yaQbJJNuUGImUGYuyaQblJhJiZTYTkrMBMrNJfIO6XQRmebg4IC5uTnW1tasW7eO5s2b4+npqbFPmTJlCAwMxM3NjS5dulCpUiUOHDgAwJEjR/jjjz/YtGkTlSpVws3NjZCQEKytrdOM6viQsmXLMnbsWNzc3Bg1ahTGxsbY2trSq1cv3NzcGD9+PDExMZz7/9dkGhgYMHHiRCpVqoSzszOdOnWiW7du6k4Xc3NzTExMMDIyws7ODjs7OwwNDVm3bh2vX79m1apVlCpVijp16rBgwQJWr17NP//8k6auly9fsnjxYmbOnEmjRo0oWbIk33//PSYmJqxYsQKApUuX4uHhwcyZM/Hw8KBDhw507dpV4zg9e/Zk7969REdHA/DgwQN27dpF9+7d3/uaxMfH8/z5c40lPj4+U69rZjx5+oSkpCRsbGw01tvY2PDo0aNcO29ukky6QTLpBiVmAmXmkky6QYmZlEiJ7aTETKDcXLlGri/KNOl0EZl2+PBhTp06RVhYGO7u7ixZsiTNPmXKlNF4bG9vz4MHDwA4e/YssbGx2NjYYG5url5u3LjBtWvXMlXLu+fR19fHxsaG0qVLq9cVLlwYQH1ugIULF1KxYkUKFiyIubk5y5Yt4/bt2xmeJzIykrJly2JmZqZeV716dZKTk4mKikqz/7Vr10hMTKR69erqdQYGBlSpUoXIyEjg7dw4lStX1nhelSpV0jz29vZm5cqVAKxZs4bixYvj6+v73lqDg4OxsrLSWGZOD84wnxBCCCGEEEKInJdP2wUI3ePs7Iy1tTUeHh48ePCA9u3b89tvv2nsY2BgoPFYpVKRnJwMQGxsLPb29uq5Ut5lbW0NvB3Sl5KSorEtMTExzf7pnefddar/f2+x1HNv2LCBoUOHMmvWLHx8fLCwsGDmzJkcP378I5JrR8+ePVm4cCEjR44kNDSUbt26qXOlZ9SoUQwePFhjXYq+Ua7Vl986P/r6+mkmGouJicHW1jbXzpubJJNukEy6QYmZQJm5JJNuUGImJVJiOykxEyg3V25R6fKQEy2RkS4iW/r27cuFCxfYtm3bRz+nQoUK/P333+TLlw9XV1eNJfWDrWDBgupLalKdOXMm2/VGRERQrVo1AgICKF++PK6urmlG1xgaGpKUlKSxzsvLi7Nnz/Ly5UuNY+np6eHh4ZHmPCVKlMDQ0JCIiAj1usTERE6cOEHJkiUB8PDw4OTJkxrP+/dEuwBfffUVt27dYv78+Vy6dAl/f/8MMxoZGWFpaamxGBnlXqeLgaEhXiW9OX7sqHpdcnIyx48fpUzZ8rl23twkmXSDZNINSswEyswlmXSDEjMpkRLbSYmZQLm5RN4hnS4iW0xNTenVqxeBgYFpRqa8T7169fDx8cHPz4///e9/3Lx5k99//50xY8aoOyHq1KnDyZMnWbVqFVeuXCEwMJALFy5ku143NzdOnjzJ3r17+euvvxg3blyajg4nJyfOnTtHVFQUjx49IjExkU6dOmFsbIy/vz8XLlzg119/5dtvv6Vz587qS5jeZWZmxjfffMOwYcPYs2cPly5dolevXsTFxdGjRw8AevfuzeXLlxkxYgR//fUXGzduJCwsDEBjJEv+/Plp1aoVw4YN44svvsDBwSHbr0NO6+zfja2bN7Jz+zauX7vG5KAJvHr1Cr+WrbRdWpZJJt0gmXSDEjOBMnNJJt2gxExxcS+5fDmSy5ffXoZ9795dLl+OJDr6vpYryzoltpMSM4Fyc4m8QS4vEtnWr18/Zs+ezaZNm2jXrt0H91epVOzatYsxY8bQrVs3Hj58iJ2dHb6+vuoOjAYNGjBu3DiGDx/O69ev6d69O126dOH8+fPZqrV3796cPn2a9u3bo1Kp6NixIwEBARq3le7Vqxfh4eFUqlSJ2NhYfv31V2rXrs3evXsZMGAAlStXxtTUlNatWzN79uz3nmvatGkkJyfTuXNnXrx4QaVKldi7dy/58+cH3l6mtXnzZoYMGcK8efPw8fFhzJgxfPPNN2lGpvTo0YN169ZlOIGuNjVs1Jgnjx+zaMF8Hj16iIenF4uWLsdGh4dkSibdIJl0gxIzgTJzSSbdoMRMFy9coFf3LurHs2a8nY+uWYuWTJoyTVtlZYsS20mJmUC5uXJDBrMciPdQpXzs8AQhRK6bMmUKS5Ys4c6dOxrrV69ezaBBg7h//36a23N/jNdvcqpCIYQQQnyKlPgbg/zyKLTJWEeHP0T9Hae1c3vYmWrt3Nmho00thDIsWrSIypUrY2NjQ0REBDNnzqRfv37q7XFxcURHRzNt2jR69+6dpQ4XIYQQQgghhMgJ0leZeTKnixBadOXKFVq0aEHJkiWZNGkSQ4YMYcKECertM2bMwNPTEzs7O0aNGqW9QoUQQgghhBBCZJpcXiTEJ0AuLxJCCCFEdijxNwa5vEhok65eXvSXFi8vcpfLi4QQQghNycnK+yldT09+ShdCCCWIiU3Qdgk5roCZMi9Flw6yPETaItPk8iIhhBBCCCGEEEKIXCAjXYQQQgghhBBCCPFBKhnqkmky0kXLVCoV27dv13YZQgghhBBCCCGEyGF5rtPl+++/p2zZspibm2NtbU358uUJDg7W2Ofx48cMHDiQ4sWLY2hoSJEiRejevTu3b99O95jBwcHo6+szc+bMNNvCwsJQqVSoVCr09PRwcHCgW7duPHjw4IO1duvWjbFjx753+99//823336Li4sLRkZGODo60qxZMw4cOPDBY+cEJycn5s6d+9H7Ozs7s3///vceK/V1MjMzo0KFCmzatCmHKs3bwsPDUalUeHt7k5SUpLHN2tqasLCwjz7WhAkTKFeuXM4WmEdsWLeWRvXrULl8aTp1aMv5c+e0XVK2Saa8beOP62nXqjk1qlakRtWKdOnUniOHf9N2WTlCSe2USomZQJm5JJNuUFqmUydP0L9vH+p/XoNypTw4eCD9n0nzqnVhy/mmaweafP4ZrRrWYtyw/ty+dUNjn4T4eObNmIxf/Ro0rl2FwBGDeBzzSEsVZ42ut1NGlPY1lVtUKu0tuipPdbr88MMPDBw4kP79+3PmzBkiIiIYPnw4sbGx6n0eP35M1apV2b9/P0uWLOHq1ats2LCBq1evUrlyZa5fv57ucYcPH84PP/yQ7nktLS2Jjo7m7t27fP/99+zevZvOnTtnWGtSUhI///wzzZs3T3f7zZs3qVixIgcPHmTmzJmcP3+ePXv28Pnnn9O3b99MvCqZl5CQ+UnBzp07x5MnT6hVq9Z79wkKCiI6OprTp09TuXJl2rdvz++//55jNXysxMTEXDt2Rq5fv86qVau0cu68bs/uXYTMCKZ3QF82bNqGh4cn3/TuQUxMjLZLyzLJlPcVLlyYbwcOYe2PW1i7YTNVPqvKoP59uXb1irZLyxaltRMoMxMoM5dk0g1KzPTqVRzuHh6MGhOo7VKy5Ozpk7Ro04EFK9Yyc/4y3rx5w/D+vXn16v/u9LJw7gyOHjnE+OBZzF0cSsyjBwSOHKTFqjNP19vpfZT4NSXyjjzV6bJz507atWtHjx49cHV1xdvbm44dOzJlyhT1PmPGjOH+/fvs37+fRo0aUaxYMXx9fdm7dy8GBgZpOjQOHTrEq1evCAoK4vnz5+l2EqhUKuzs7ChSpAiNGjWif//+7N+/n1evXr231t9//x0DAwMqV66c7vaAgABUKhV//PEHrVu3xt3dHW9vbwYPHsyxY8c09n306BEtW7bE1NQUNzc3du7cqd6WlJREjx49cHZ2xsTEBA8PD+bNm6fx/K5du+Ln58eUKVMoUqQIHh4e1K5dm1u3bjFo0CD1CJWM7Nixg4YNG2JgYPDefSwsLLCzs8Pd3Z2FCxdiYmLCTz/9BLwdCTNp0iS6dOmCpaUlX3/9NQBbtmzB29sbIyMjnJycmDVrlsYxo6OjadKkCSYmJjg7O7Nu3bo0I3RUKhWLFy+mefPmmJmZqd8PO3bsoEKFChgbG+Pi4sLEiRN58+btvZFTUlKYMGECxYoVw8jIiCJFitC/f3/1MRctWoSbmxvGxsYULlyYNm3aZPj6AHz77bcEBgYSHx//3n1u375NixYtMDc3x9LSknbt2vHPP/8Ab0dVTZw4kbNnz6rbJHWUzNOnT+nZsycFCxbE0tKSOnXqcPbsWfVxz549y+eff46FhQWWlpZUrFiRkydPfrDm/8rqlaG0atMOv5atKeHqytjAiRgbG7N96xZtl5Zlkinvq1W7DjV9a1G8uBPFnZzp138QpqamnDt39sNPzsOU1k6gzEygzFySSTcoMVONmrXo138QderV13YpWTJ93hIaNvXD2cWVEu4ejBg/mQd/R/PX5UsAxMa+YPfOrXwzYBgVKn2Gu5c3w8dN4uK5M1w6rzvft3S9nd5HiV9TIu/IU50udnZ2HDt2jFu3bqW7PTk5mQ0bNtCpUyfs7Ow0tpmYmBAQEMDevXt5/Pixev2KFSvo2LEjBgYGdOzYkRUrVnywDhMTE5KTk9W/wKdn586dNGvWLN3OjMePH7Nnzx769u2LmZlZmu3W1tYajydOnEi7du04d+4cjRs3plOnTuoMycnJODg4sGnTJi5dusT48eMZPXo0Gzdu1DjGgQMHiIqKYt++ffz8889s3boVBwcH9eiU6OjoDDPv3LmTFi1aZLjPu/Lly4eBgYHGiJaQkBDKli3L6dOnGTduHKdOnaJdu3Z06NCB8+fPM2HCBMaNG6dxOU6XLl24f/8+4eHhbNmyhWXLlqV7adeECRNo2bIl58+fp3v37hw+fJguXbowYMAALl26xNKlSwkLC1N3yGzZsoU5c+awdOlSrly5wvbt2yldujQAJ0+epH///gQFBREVFcWePXvw9fX9YOaBAwfy5s0bvvvuu3S3Jycn06JFCx4/fsyhQ4fYt28f169fp3379gC0b9+eIUOG4O3trW6T1G1t27blwYMH7N69m1OnTlGhQgXq1q2rfh906tQJBwcHTpw4walTpxg5cmSGHWT/pcSEBCIvXaSqTzX1Oj09PapWrca5s6e1WFnWSSbdk5SUxJ7dv/DqVRxlypbTdjlZpsR2UmImUGYuyaQblJhJiV7+/5H6lpZWAPx1+RJv3ryhYpWq6n2KOblQyM6eixd0p9NFieRrKnNUWlx0VZ66e1FgYCCtWrXCyckJd3d3fHx8aNy4MW3atEFPT4+HDx/y9OlTvLy80n2+l5cXKSkpXL16lSpVqvD8+XM2b97M0aNHAfjqq6+oWbMm8+bNw9zcPN1jXLlyhSVLllCpUiUsLCzeW+uOHTuYM2dOutuuXr1KSkoKnp6eH5W7a9eudOzYEYCpU6cyf/58/vjjD/XIk4kTJ6r3dXZ25ujRo2zcuJF27dqp15uZmbF8+XIMDQ3V6/T19dWjUzJy7949zp07R6NGjT6q3oSEBGbNmsWzZ8+oU6eOen2dOnUYMmSI+nGnTp2oW7cu48aNA8Dd3Z1Lly4xc+ZMunbtyuXLl9m/fz8nTpygUqVKACxfvhw3N7c05/zyyy/p1q2b+nH37t0ZOXIk/v7+ALi4uDBp0iSGDx9OYGAgt2/fxs7Ojnr16mFgYECxYsWoUqUK8HY0ipmZGU2bNsXCwoLixYtTvnz5D+Y2NTUlMDCQ0aNH06tXL6ysrDS2HzhwgPPnz3Pjxg0cHR0BWLVqFd7e3pw4cYLKlStjbm5Ovnz5NNrkyJEj/PHHHzx48AAjIyPgbQfW9u3b2bx5M19//TW3b99m2LBh6vdUeq9Rqvj4+DSjcVL0jdTHzmlPnj4hKSkJGxsbjfU2NjbcuJH2cj9dIJl0x5W/ovD/qiMJCfGYmJoya+4CSpRw1XZZWabEdlJiJlBmLsmkG5SYSWmSk5NZOGc6pcqUx7nE25/ZnsQ8wsDAAHMLS4198xew4YmOzeuiNPI1JXJbnhrpYm9vz9GjRzl//jwDBgzgzZs3+Pv707BhQ5KTk9X7paSkfNTx1q9fT4kSJShbtiwA5cqVo3jx4vz4448a+z179gxzc3NMTU3x8PCgcOHCrF279r3HjYyM5P79+9StWzfd7R9bX6oyZcqo/29mZoalpaXGaI+FCxdSsWJFChYsiLm5OcuWLUszaXDp0qU1OlwyY+fOndSoUSPNCJx/GzFihPp1mj59OtOmTaNJkybq7akdJ6kiIyOpXr26xrrq1atz5coVkpKSiIqKIl++fFSoUEG93dXVlfz586c597+PffbsWYKCgjA3N1cvvXr1Ijo6mri4ONq2bcurV69wcXGhV69ebNu2TT1yqX79+hQvXhwXFxc6d+7M2rVriYuLS3PO9PTo0QMbGxumT5+eZltkZCSOjo7qDheAkiVLYm1tTWRk5HuPefbsWWJjY7GxsdHIc+PGDa5duwbA4MGD6dmzJ/Xq1WPatGnq9ekJDg7GyspKY5k5Pfi9+wuhy5ycndmweRur1v5I23YdGD92JNeuXdV2WUIIIT5h82ZO4cb1q4ybPEPbpQiR82SoS6blqU6XVKVKlSIgIIA1a9awb98+9u3bx6FDhyhYsGCGv8BGRkaiUqlwdX37V84VK1Zw8eJF8uXLp14uXbqUZkJdCwsLzpw5w4ULF3j58iW//fYb7u7u761v586d1K9fH2Nj43S3u7m5oVKpuHz58kfl/fdlIiqVSt3JtGHDBoYOHUqPHj343//+x5kzZ+jWrVuaiWrTu4zpY+3cufO9EwK/a9iwYZw5c4a7d+/y5MkTRowYkWM1fMi/jx0bG8vEiRM5c+aMejl//jxXrlzB2NgYR0dHoqKiWLRokfrSM19fXxITE7GwsODPP/9k/fr12NvbM378eMqWLcvTp08/WEe+fPmYMmUK8+bN4/79+zmSLTY2Fnt7e40sZ86cISoqimHDhgFvL6+6ePEiTZo04eDBg5QsWZJt27ale7xRo0bx7NkzjWXYiFE5Umt68lvnR19fP81EYzExMdja2ubaeXOTZNIdBgaGFCtWnJLepeg/cAju7p6sX6O7E14rsZ2UmAmUmUsy6QYlZlKSeTOncOzIIWYvWkHBwv83sjm/jS2JiYnEvniusf+TxzHkt5F20yb5mhK5LU92uryrZMmSALx8+RI9PT3atWvHunXr+PvvvzX2e/XqFYsWLaJBgwYUKFCA8+fPc/LkScLDwzV+kQ0PD+fo0aMaHSJ6enq4urri4uKCiYnJB2vasWNHhvOfFChQgAYNGrBw4UJevnyZZvvH/HKfKiIigmrVqhEQEED58uVxdXXNcJTDuwwNDdPc4vjfYmNj+fXXXz9qPhdbW1tcXV2xs7P74MS88PZyr4iICI11ERERuLu7o6+vj4eHB2/evOH06f+7VvLq1as8efLkg8euUKECUVFRuLq6pln09N6+rU1MTGjWrBnz589Xt/v58+eBt50n9erVY8aMGZw7d46bN29y8ODBD54X3s6/4u3trXHZV2reO3fucOfOHfW6S5cu8fTpU/X7OL02qVChAn///Tf58uVLk+XdD3p3d3cGDRrE//73P1q1akVoaGi69RkZGWFpaamx5NalRQAGhoZ4lfTm+LGj6nXJyckcP36UMmU/fNlWXiSZdFdKSnKu3j0ttymxnZSYCZSZSzLpBiVmUoKUlBTmzZzCkUMHmbVwBfZFHDS2u3uWJF++fPx54rh63e1bN3jwdzTepcr+1+WKd8jXlMhteWpOl2+++YYiRYpQp04dHBwciI6OZvLkyRQsWBAfHx/g7ZwnBw4coH79+syYMYNSpUpx48YNxo4dS2JiIgsXLgTejnKpUqVKuhOkVq5cmRUrVjBz5sxM1/jgwQNOnjypcYeh9CxcuJDq1atTpUoVgoKCKFOmDG/evGHfvn0sXrw4w8tN3uXm5saqVavYu3cvzs7OrF69mhMnTuDs7PzB5zo5OfHbb7/RoUMHjIyM0u2p3bNnD+7u7jg5OX1UPZkxZMgQKleuzKRJk2jfvj1Hjx5lwYIFLFq0CABPT0/q1avH119/zeLFizEwMGDIkCGYmJh8sFNn/PjxNG3alGLFiqnn/Dl79iwXLlxg8uTJhIWFkZSUxGeffYapqSlr1qzBxMSE4sWL8/PPP3P9+nV8fX3Jnz8/u3btIjk5GQ8Pj4/ONm3aNBo0aKCxrl69epQuXZpOnToxd+5c3rx5Q0BAALVq1VJfHuXk5MSNGzc4c+YMDg4OWFhYUK9ePXx8fPDz82PGjBm4u7tz//59fvnlF1q2bIm3tzfDhg2jTZs2ODs7c/fuXU6cOEHr1q0z2SK5p7N/N8aNHoG3dylKlS7DmtUrefXqFX4tW2m7tCyTTHnf/LmzqF7DF3t7e16+fMnuXT9z8sQfLFqyXNulZYvS2gmUmQmUmUsy6QYlZoqLe6lx+fy9e3e5fDkSKysr7O2LaLGyjzNv5hQO7N3F5JnzMDUz4/H/n6fFzMwcI2NjzM0taNS8FYvmzcTC0gozMzPmzwqmZOmylCytO50uut5O76PEr6ncotLl63y0JE91utSrV48ffviBxYsXq4dz+fj4cODAAfXERjY2Nhw7doygoCB69+7N33//TYECBWjUqBFr1qyhWLFiJCQksGbNmjSXv6Rq3bo1s2bNYurUqZmu8aeffqJKlSofHGrm4uLCn3/+yZQpUxgyZAjR0dEULFiQihUrsnjx4o8+X+/evTl9+jTt27dHpVLRsWNHAgIC2L179wefm/oalShRgvj4+HTnmtmxY8dHXVqUFRUqVGDjxo2MHz+eSZMmYW9vT1BQEF27dlXvs2rVKnr06IGvry92dnYEBwdz8eLF9166lapBgwb8/PPPBAUFMX36dAwMDPD09KRnz57A2ztETZs2jcGDB5OUlETp0qX56aefsLGxwdramq1btzJhwgRev36Nm5sb69evx9vb+6Oz1alThzp16vC///1PvU6lUrFjxw6+/fZbfH190dPTo2HDhhp3O2rdujVbt27l888/5+nTp4SGhtK1a1d27drFmDFj6NatGw8fPsTOzg5fX18KFy6sHu7YpUsX/vnnH2xtbWnVqlWakTba1LBRY548fsyiBfN59OghHp5eLFq6HBsdHpIpmfK+x48fM27MCB49fIi5hQVubh4s+n/s3XlcjOv7B/DPtO9FRZbSprRSx5YlRLJmPXZF2ZfsiYOU7KJDjr2NY8m+HHtlyy5FQitZskWotM7z+8PX/IxCTeXpeVzv72te3zPPPDWfy9Q0c899X/fGrWjZqvXPv7ga49vjBPCzJoCfdVFN3MDHmu7Fx2O0m4vouv+Kz/3oevbqg0WLl7EVq8yO7P/cM3LaeDex457zF6FLj94AgIlTPSElEGDhnGkoLChE05atMNVz3q+OWiFcf5y+h4+/U6T6EDDl7fr6m3N2dkabNm3g6enJdpQKKyoqQu3atXHixAnRzj5se/r0KXR1dXH27NnvNiom5Zf3/d3PCalSQiH//sRISdEnPISQ3w8f3zG8zeHuctTvqaks2cYa1V0ZOhtwjkK1mv5Qdmlv8li7bwOtH38wX11x9KFmT5s2bUTbO3Pd27dvMW3aNDRr1oy1DJGRkcjOzoaVlRUyMjLg6ekJfX39UpeFEUIIIYQQQgghXFLtG+lWN56enmJbAnNZrVq1MG/evDI1xa0qhYWFmDt3LiwsLNCnTx9oa2vj3LlzJXZ0IoQQQgghhBDCLq7sGL106VI0a9YMqqqqqFWrFnr37o2HDx+KndO+fXsIBAKxy7hx48p5Tz9Hy4sI+Q3Q8iLCFlpeRAgh/MDHdwy0vIg7aHlR9fGIxeVF+uVYXtSlSxcMGjQIzZo1Q1FREebOnYv4+HgkJCRAWVkZwOdBFxMTE/j6+oq+TklJCWpqapWam6MPNSGEEEIIIYQQQkhJJ0+eFLseEhKCWrVq4datW2KtLJSUlKCjo1OlWWjQhRBCSJWhWSGEEMIPQh5OddFU4d+sEB4+TKS6YfGlXX5+PvLz88WOycvLQ15e/qdf+/79ewBAzZo1xY7/+++/2LFjB3R0dNCzZ0/Mnz8fSkpKlRca1NOFEEIIIYQQQggh1dzSpUuhrq4udlm6dOlPv04oFGLq1Klo3bo1LC0tRceHDBmCHTt2ICoqCnPmzMH27dsxbNiwSs9NPV0I+Q1QTxdCCCGEVEQxD3t0SfNwNiZf39lRT5fq43Fm/s9PqiI6KpBopsv48eNx4sQJXLp0CfXr1//ueZGRkejYsSOSk5NhZGRUKZkBmulCKsGIESPQu3dvtmP8MgKBAIcOHQIAPHr0CAKBALGxsWX62t/t34oQQgghhBBCKoO8vDzU1NTELj8bcJk0aRKOHTuGqKioHw64AECLFi0AAMnJyZWWGaBBF1IGW7ZsQePGjaGiogINDQ3Y2NiUaRrXrxYSEgKBQAAzM7MSt+3duxcCgQD6+vqVep+6urrIyMgQm6b2I3///TdCQkIqNUN1sXvnv+jq6IBmNlYYOuhP3L1zh+1IFUY1cQPVxA18rAngZ11UEzfwsaYvgrduhq1VI6xcvoTtKBXGt8fp1s0b8Jg4Do4d2qCJpSkiI86yHanS8O2x+t0xDINJkybh4MGDiIyMhIGBwU+/5ssH6XXq1KnULDToQn4oKCgIU6dOhYeHB2JjYxEdHQ1PT09kZ2ezHa1UysrKePXqFa5cuSJ2fNu2bdDT06v0+5OWloaOjg5kZMo2P1BdXR0aGhqVnoNtJ08cx6oVSzF2wkTs3nsQpqaNMH6sOzIzM9mOJjGqiRuoJm7gY00AP+uimriBjzV9cS/+Lvbv24OGJqZsR6kwPj5Onz7lwsTUFHP+8mY7SqXi42NVVQQC9i7lMXHiROzYsQM7d+6EqqoqXrx4gRcvXuDTp08AgJSUFCxatAi3bt3Co0ePcOTIEbi4uMDe3h7W1taV+m9Ggy7kh44cOYIBAwbA3d0dxsbGsLCwwODBg7F48eLvfo1QKMTSpUthYGAARUVFNG7cGPv27RM7Jz4+Hl27doWKigpq166N4cOH482bN6Lb27dvj0mTJmHSpElQV1eHlpYW5s+fj5+1IJKRkcGQIUMQFBQkOvb06VOcO3cOQ4YMKXH+4cOHYWtrCwUFBRgaGsLHxwdFRf/fACUpKQn29vZQUFCAubk5zpw5I/b1pS0vunfvHnr06AE1NTWoqqqibdu2SElJAVByeVH79u3h4eEBT09P1KxZEzo6Oli4cKHYfWRlZWHUqFHQ1taGmpoaHBwcEBcX98N/h19te2gw+vYfgN59+sHI2BjzvH2goKCAQwf2sx1NYlQTN1BN3MDHmgB+1kU1cQMfawKA3Nwc/OU1E/O9F0FNTY3tOBXGx8epTdt2mOQxDQ6dHNmOUqn4+Fj97jZs2ID379+jffv2qFOnjuiyZ88eAICcnBzOnj2Lzp07o1GjRpgxYwb69euHo0ePVnoWGnQhP6Sjo4OrV6/i8ePHZf6apUuXIiwsDBs3bsS9e/cwbdo0DBs2DOfPnwfweRDBwcEBNjY2uHnzJk6ePImXL19iwIABYt8nNDQUMjIyuH79Ov7++2+sXr0aW7du/en9u7m5ITw8HLm5uQA+Lzvq0qULateuLXbexYsX4eLigilTpiAhIQGbNm1CSEiIaEBJKBSib9++kJOTw7Vr17Bx40bMnj37h/f97Nkz2NvbQ15eHpGRkbh16xbc3NzEBnK+FRoaCmVlZVy7dg0rVqyAr6+v2ODOn3/+iVevXuHEiRO4desWbG1t0bFjR7x9+/an/xa/QmFBAe4n3ENLu1aiY1JSUmjZshXuxN1mMZnkqCZuoJq4gY81Afysi2riBj7W9MWyxb5o07Y9WnxVG1fx+XHiG3qsykfA4qU8GIYp9TJixAgAn9tEnD9/HpmZmcjLy0NSUhJWrFhRJQO+HO2ZTH4Vb29v9O3bF/r6+jAxMYGdnR26deuG/v37Q0qq5Jhdfn4+lixZgrNnz8LOzg4AYGhoiEuXLmHTpk1o164dAgMDYWNjgyVL/n+dblBQEHR1dZGYmAgTExMAn38R1qxZA4FAAFNTU9y9exdr1qzB6NGjf5jZxsYGhoaG2LdvH4YPH46QkBCsXr0aqampYuf5+PjAy8sLrq6uopyLFi2Cp6cnvL29cfbsWTx48ACnTp1C3bp1AQBLlixB165dv3vf69evh7q6Onbv3g1ZWVkAENXzPdbW1vD2/jxFs2HDhggMDERERAQcHR1x6dIlXL9+Ha9evRI1iVq1ahUOHTqEffv2YcyYMSW+X2n71zPSZdu/XhLvst6huLgYmpqaYsc1NTWRlpb6na+q3qgmbqCauIGPNQH8rItq4gY+1gQAp078hwcJCdi+e9/PT+YAvj5OfESPFalqNNOF/FCdOnVw5coV3L17F1OmTEFRURFcXV3RpUsXCIXCEucnJycjNzcXjo6OUFFREV3CwsJES2zi4uIQFRUldnujRo0AQHQOALRs2RKCrxbv2dnZISkpCcXFxT/N7ebmhuDgYJw/fx45OTno1q1biXPi4uLg6+srlmP06NHIyMhAbm4u7t+/D11dXdGAy5cMPxIbG4u2bduKBlzK4ts1g3Xq1MGrV69EGbOzs6GpqSmWMy0tTezf6mul7V+/cnn1a3xMCCGEEAIAL15kYOWyJfBbtqrKPiQihFQOrvR0qU5opgspE0tLS1haWmLChAkYN24c2rZti/Pnz6NDhw5i531psPvff/+hXr16Yrd9+SOanZ2Nnj17Yvny5SXup7I6RQ8dOhSenp5YuHAhhg8fXmqj2+zsbPj4+KBv374lblNQUJDofhUVFcv9Nd8O0AgEAtGAVnZ2NurUqYNz586V+LrvNeSdM2cOpk+fLnaMka66FzA1NGpAWlq6RKOxzMxMaGlpVdn9ViWqiRuoJm7gY00AP+uimriBjzXdv3cPb99mYujA/39NVlxcjJhbNxG+619cvXUH0tLSLCYsPz4+TnxFjxWpajTThZSbubk5ACAnJ6fU2+Tl5ZGeng5jY2Oxi66uLgDA1tYW9+7dg76+folzlJWVRd/r2rVrYt/76tWraNiwYZn+6NasWRPOzs44f/483NzcSj3H1tYWDx8+LJHB2NgYUlJSMDMzw5MnT5CRkSGW4Uesra1x8eJFFBYW/jRjWdja2uLFixeQkZEpkfF7fwQk2b++ImTl5GBmboFrV/9/xyihUIhr167AurFNld1vVaKauIFq4gY+1gTwsy6qiRv4WFPzli0RfuAIdu09KLqYW1iia/ee2LX3IOcGXAB+Pk58RY8VqWo004X80Pjx41G3bl04ODigfv36yMjIgJ+fH7S1tUtdaqOqqoqZM2di2rRpEAqFaNOmDd6/f4/o6GioqanB1dUVEydOxJYtWzB48GDRrj3JycnYvXs3tm7dKvrDmp6ejunTp2Ps2LGIiYnBunXr4O/vX+bsISEh+Oeff0qsz/xiwYIF6NGjB/T09EQ9auLi4hAfHw8/Pz906tQJJiYmcHV1xcqVK/Hhwwf89ddfP7zPSZMmYd26dRg0aBDmzJkDdXV1XL16Fc2bN4epafm3PuzUqRPs7OzQu3dvrFixAiYmJnj+/Dn+++8/9OnTB02bNi3396wKw11HYv7c2bCwsISllTV2bA/Fp0+f0LtPyVlEXEE1cQPVxA18rAngZ11UEzfwrSZlZRUYNxTvgaeoqAh1DY0Sx7mEb48T8HmHqfT0dNH1Z8+e4sGD+1BXV0edOnV/8JXVGx8fq6rD4XU+LKFBF/JDnTp1QlBQEDZs2CCaYmdnZ4eIiIjvDmYsWrQI2traWLp0KVJTU6GhoQFbW1vMnTsXAFC3bl1ER0dj9uzZ6Ny5M/Lz89GgQQN06dJFrDmvi4sLPn36hObNm0NaWhpTpkwptXHs9ygqKv5wuY+TkxOOHTsGX19fLF++HLKysmjUqBFGjRoF4HPX8oMHD8Ld3R3NmzeHvr4+1q5diy5dunz3e2pqaiIyMhKzZs1Cu3btIC0tjSZNmqB169Zlzv01gUCA48eP46+//sLIkSPx+vVr6OjowN7evsRuTGzq0rUb3r19i38C1+LNm9cwbWSGfzZthSaHp2RSTdxANXEDH2sC+FkX1cQNfKyJj/j4ON2Lj8doNxfRdf8Vn/sG9uzVB4sWL2MrVoXx8bEi1YeAYRiG7RCEfKt9+/Zo0qQJAgIC2I7CC3nf37GaEEIIIeSnioX8e8sgLcW/T+z5+s6Oy01Uv0eBo9MfnmUVsHbf9TTkWLvviqCeLoQQQgghhBBCCCFVgAZdCCGEEEIIIYQQQqoALS8i5DdAy4sIIYQQUhG0vIgb+PrOjpYXVR/PWVxeVJejy4s4+lATQgghhBBCfhUaoOAGPg5OEMJ1NOhCCCGEEEIIIYSQn6KBvfKjni6EEEIIIYQQQgghVYBmuhBCCCGEEEIIIeSnBKCpLuVFM11IpXv06BEEAgFiY2PZjkIIIYQQQgghhLCGBl04ZsuWLWjcuDFUVFSgoaEBGxsbLF26lO1Yv8yIESPQu3dvtmOQUuze+S+6OjqgmY0Vhg76E3fv3GE7UoVRTdxANXEDH2sC+FkX1cQNVFP1d+vmDXhMHAfHDm3QxNIUkRFn2Y5UKfj2OH3B17oI+2jQhUOCgoIwdepUeHh4IDY2FtHR0fD09ER2djbb0chv7uSJ41i1YinGTpiI3XsPwtS0EcaPdUdmZibb0SRGNXED1cQNfKwJ4GddVBM3UE3c8OlTLkxMTTHnL2+2o1QaPj5OAH/rqhICFi8cRYMuHHLkyBEMGDAA7u7uMDY2hoWFBQYPHozFixeLzvkyE8THxwfa2tpQU1PDuHHjUFDw//upC4VCLF26FAYGBlBUVETjxo2xb98+sfuKj49H165doaKigtq1a2P48OF48+aN2PdYsWIFjI2NIS8vDz09PbEcAJCamooOHTpASUkJjRs3xpUrV6roX+b/rV69GlZWVlBWVoauri4mTJggNigVEhICDQ0NnDp1CmZmZlBRUUGXLl2QkZEhOqeoqAgeHh7Q0NCApqYmZs+eDVdXV7EZNvr6+ggICBC77yZNmmDhwoVlzgJ8nrmkq6sLJSUl9OnTB6tXr4aGhobYOYcPH4atrS0UFBRgaGgIHx8fFBUVVfjfqjJtDw1G3/4D0LtPPxgZG2Oetw8UFBRw6MB+tqNJjGriBqqJG/hYE8DPuqgmbqCauKFN23aY5DENDp0c2Y5Safj4OAH8rYtUDzTowiE6Ojq4evUqHj9+/MPzIiIicP/+fZw7dw67du3CgQMH4OPjI7p96dKlCAsLw8aNG3Hv3j1MmzYNw4YNw/nz5wEAWVlZcHBwgI2NDW7evImTJ0/i5cuXGDBggOh7zJkzB8uWLcP8+fORkJCAnTt3onbt2mI5/vrrL8ycOROxsbEwMTHB4MGDq3ywQEpKCmvXrsW9e/cQGhqKyMhIeHp6ip2Tm5uLVatWYfv27bhw4QLS09Mxc+ZM0e3Lly/Hv//+i+DgYERHR+PDhw84dOhQpWeJjo7GuHHjMGXKFMTGxsLR0bHEwNXFixfh4uKCKVOmICEhAZs2bUJISEiJ89hUWFCA+wn30NKuleiYlJQUWrZshTtxt1lMJjmqiRuoJm7gY00AP+uimriBaiJs4evjxNe6qgpNdCk/2r2IQ7y9vdG3b1/o6+vDxMQEdnZ26NatG/r37w8pqf8fP5OTk0NQUBCUlJRgYWEBX19fzJo1C4sWLUJhYSGWLFmCs2fPws7ODgBgaGiIS5cuYdOmTWjXrh0CAwNhY2ODJUuWiL5nUFAQdHV1kZiYiDp16uDvv/9GYGAgXF1dAQBGRkZo06aNWN6ZM2eie/fuAAAfHx9YWFggOTkZjRo1qrJ/o6lTp4r+W19fH35+fhg3bhz++ecf0fHCwkJs3LgRRkZGAIBJkybB19dXdPu6deswZ84c9OnTBwAQGBiI48ePV3qWdevWoWvXrqIBHxMTE1y+fBnHjh0TfZ2Pjw+8vLxE/86GhoZYtGgRPD094e1d+lTV/Px85Ofnix1jpOUhLy9f7hrK4l3WOxQXF0NTU1PsuKamJtLSUqvkPqsa1cQNVBM38LEmgJ91UU3cQDURtvD1ceJrXaT6oJkuHFKnTh1cuXIFd+/exZQpU1BUVARXV1d06dIFQqFQdF7jxo2hpKQkum5nZ4fs7Gw8efIEycnJyM3NhaOjI1RUVESXsLAwpKSkAADi4uIQFRUldvuXgZKUlBTcv38f+fn56Nix4w/zWltbi2UHgFevXpV67rhx48TuT1Jnz55Fx44dUa9ePaiqqmL48OHIzMxEbm6u6BwlJSXRgMuXbF9yvX//Hi9fvkTz5s1Ft0tLS+OPP/6o9CwPHz4Uux8AJa7HxcXB19dX7N9m9OjRyMjIEKvpa0uXLoW6urrYZeXy36fZMiGEEEIIIYRUFzTThYMsLS1haWmJCRMmYNy4cWjbti3Onz+PDh06/PRrv/QU+e+//1CvXj2x277MhMjOzkbPnj2xfPnyEl9fp04dpKaWbcRXVlZW9N8CwecJYV8PDn3N19dXbImPJB49eoQePXpg/PjxWLx4MWrWrIlLly7B3d0dBQUFooGor3N9ycYwTLnuS0pKqsTXFBYWljvLz2RnZ8PHxwd9+/YtcZuCgkKpXzNnzhxMnz5d7BgjXTWzXACghkYNSEtLl2g0lpmZCS0trSq736pENXED1cQNfKwJ4GddVBM3UE2ELXx9nPhaV1URcHmdD0topgvHmZubAwBycnJEx+Li4vDp0yfR9atXr0JFRQW6urowNzeHvLw80tPTYWxsLHbR1dUFANja2uLevXvQ19cvcY6ysjIaNmwIRUVFREREVFodtWrVErsfSdy6dQtCoRD+/v5o2bIlTExM8Pz583J9D3V1ddSuXRs3btwQHSsuLkZMTIzYedra2mLNdz98+IC0tLRyZTE1NRW7HwAlrtva2uLhw4clHgdjY2OxJWVfk5eXh5qamtilqpYWAYCsnBzMzC1w7er/N0oWCoW4du0KrBvbVNn9ViWqiRuoJm7gY00AP+uimriBaiJs4evjxNe6SPVBM104ZPz48ahbty4cHBxQv359ZGRkwM/PD9ra2qL+LABQUFAAd3d3zJs3D48ePYK3tzcmTZoEKSkpqKqqYubMmZg2bRqEQiHatGmD9+/fIzo6GmpqanB1dcXEiROxZcsWDB48GJ6enqhZsyaSk5Oxe/dubN26FQoKCpg9ezY8PT0hJyeH1q1b4/Xr17h37x7c3d2r/N/h/fv3iI2NFTumqakJY2NjFBYWYt26dejZsyeio6OxcePGcn//yZMnY+nSpTA2NkajRo2wbt06vHv3TjRbBwAcHBwQEhKCnj17QkNDAwsWLIC0tLTo9rJkmTx5Muzt7bF69Wr07NkTkZGROHHihNj9LFiwAD169ICenp6od09cXBzi4+Ph5+dX7tqqynDXkZg/dzYsLCxhaWWNHdtD8enTJ/TuU3KGDldQTdxANXEDH2sC+FkX1cQNVBM35ObmID09XXT92bOnePDgPtTV1VGnTl0Wk0mOj48TwN+6qoKA0y1t2UGDLhzSqVMnBAUFYcOGDaLpbnZ2doiIiBBr/NSxY0c0bNgQ9vb2yM/Px+DBg8W2Ml60aBG0tbWxdOlSpKamQkNDA7a2tpg7dy4AoG7duoiOjsbs2bPRuXNn5Ofno0GDBujSpYtodsX8+fMhIyODBQsW4Pnz56hTpw7GjRv3S/4dzp07Bxsb8VFnd3d3bN26FatXr8by5csxZ84c2NvbY+nSpXBxcSnX9589ezZevHgBFxcXSEtLY8yYMXBychIbVJkzZw7S0tLQo0cPqKurY9GiRWIzXRo3bvzTLK1bt8bGjRvh4+ODefPmwcnJCdOmTUNgYKDoHCcnJxw7dgy+vr5Yvnw5ZGVl0ahRI4waNaq8/2xVqkvXbnj39i3+CVyLN29ew7SRGf7ZtBWaHJ6SSTVxA9XEDXysCeBnXVQTN1BN3HAvPh6j3f7/tZ//is899nr26oNFi5exFatC+Pg4Afyti1QPAqa8zSxItTZixAhkZWVJtMUxKZ1QKISZmRkGDBiARYsWVel9jR49Gg8ePMDFixcr9fvmVe1O3YQQQgghnMPHd0HUb4M7FDg6/eF1NntvLLRVuPmPxs3UhFShx48f4/Tp02jXrh3y8/MRGBiItLQ0DBkypNLva9WqVXB0dISysjJOnDiB0NBQse2tCSGEEEIIIYRwFw26EPINKSkphISEYObMmWAYBpaWljh79izMzMwq/b6uX7+OFStW4OPHjzA0NMTatWur3dIhQgghhBBCCCGSoeVFhPwGaHkRIYQQQog4Pr4LouVF3MHV5UVvWFxepEXLiwghhBBCCCF8RAMU3FCj2SS2I1SJt9cDf34SIdUUDboQQgghhBBCCCHkp/g4WFnVpNgOQAghhBBCCCGEEMJHNOhCCCGEEEIIIYQQUgVo0IX8NrZs2YLGjRtDRUUFGhoasLGxwdKlS9mOxRu7d/6Lro4OaGZjhaGD/sTdO3fYjlRhVBM3UE3cwMeaAH7WRTVxA99qunXzBjwmjoNjhzZoYmmKyIizbEeqFFx6nGa6dcalHbPw6tIqPI5YivDVo9GwQS2xc+TlZLDGawCeRi3H62h/7Fo1CrVqqoqd0765CaJCpuPVpVVIO7MEfh69IC1dfd928vVnr6oIWPwfV1Xfn35CKlFQUBCmTp0KDw8PxMbGIjo6Gp6ensjOzq7Q9y0oKKikhCUVFhZW2feubCdPHMeqFUsxdsJE7N57EKamjTB+rDsyMzPZjiYxqokbqCZu4GNNAD/ropq4gY81ffqUCxNTU8z5y5vtKJWGa49TW1tjbNxzAe1cVqHH+EDIyEjj2IZJUFKQE52zYmY/dLe3xFDPbeg8KgB1tNWx23+U6HYrk3o4tG48Tl9OQMvByzDcKwjd21nBz6MXGyWVCR9/9kj1QoMu5Ldw5MgRDBgwAO7u7jA2NoaFhQUGDx6MxYsXi85p3749pk6dKvZ1vXv3xogRI0TX9fX1sWjRIri4uEBNTQ1jxowB8HkWja6uLpSUlNCnTx+sXr0aGhoaYt/r8OHDsLW1hYKCAgwNDeHj44Oiov/fck0gEGDDhg1wdnaGsrIy/Pz8YGxsjFWrVol9n9jYWAgEAiQnJ1fOP04l2B4ajL79B6B3n34wMjbGPG8fKCgo4NCB/WxHkxjVxA1UEzfwsSaAn3VRTdzAx5ratG2HSR7T4NDJke0olYZrj1OvSf9gx9FruJ/6AncTn2GM9w7o1akJG3NdAICaigJG9LbD7NUHcP5GIm7ff4Ix3jtg18QIza30AQD9O9siPuk5lm4+idQnb3DpVjL++vsQxg5oCxUleRar+z4+/uxVJYGAvQtX0aAL+S3o6Ojg6tWrePz4cYW/16pVq9C4cWPcvn0b8+fPR3R0NMaNG4cpU6YgNjYWjo6OYoM5AHDx4kW4uLhgypQpSEhIwKZNmxASElLivIULF6JPnz64e/cu3N3d4ebmhuDgYLFzgoODYW9vD2Nj4wrXUhkKCwpwP+EeWtq1Eh2TkpJCy5atcCfuNovJJEc1cQPVxA18rAngZ11UEzfwsSY+4sPjpKaiAAB49z4XAGBjpgc5WRlEXn0oOifx0UukZ7xFC2sDAJ+XH+Xli8/W/pRfCEUFOdiY6f2i5IRULzToQn4L3t7e0NDQgL6+PkxNTTFixAiEh4dDKBSW+3s5ODhgxowZMDIygpGREdatW4euXbti5syZMDExwYQJE9C1a1exr/Hx8YGXlxdcXV1haGgIR0dHLFq0CJs2bRI7b8iQIRg5ciQMDQ2hp6eHESNG4OHDh7h+/TqAz0uOdu7cCTc3t+/my8/Px4cPH8Qu+fn55a6zrN5lvUNxcTE0NTXFjmtqauLNmzdVdr9ViWriBqqJG/hYE8DPuqgmbuBjTXzE9cdJIBBg5cz+uHw7BQkpGQAAHU015BcU4n32J7FzX2V+QG1NNQDAmcv30bKxIQZ0+QNSUgLU1VbH3DGfXxfX0Vb7tUUQUk3QoAv5LdSpUwdXrlzB3bt3MWXKFBQVFcHV1RVdunQp98BL06ZNxa4/fPgQzZs3Fzv27fW4uDj4+vpCRUVFdBk9ejQyMjKQm5v73e9dt25ddO/eHUFBQQCAo0ePIj8/H3/++ed38y1duhTq6upil5XLqWEwIYQQQggpm4A5A2BhXAcuXsE/P/krEVcfYG7AIaydOwjvrwXgzuEFOHXpHgBAKGSqIioh1Z4M2wEI+ZUsLS1haWmJCRMmYNy4cWjbti3Onz+PDh06QEpKCgwj/segtGa2ysrK5b7f7Oxs+Pj4oG/fviVuU1BQ+OH3HjVqFIYPH441a9YgODgYAwcOhJKS0nfva86cOZg+fbrYMUa66tbQ1tCoAWlp6RJN4TIzM6GlpVVl91uVqCZuoJq4gY81Afysi2riBj7WxEdcfpzWzP4T3dpaopN7AJ69yhIdf5H5AfJyslBXURSb7VJLUw0vMz+Irq/dEYm1OyJRR1sd7z7kokHdmljk0QtpT6v/DB9CqgLNdCG/LXNzcwBATk4OAEBbWxsZGRmi24uLixEfH//T72NqaoobN26IHfv2uq2tLR4+fAhjY+MSFympH/8aduvWDcrKytiwYQNOnjz5w6VFACAvLw81NTWxi7x81Q26yMrJwczcAteuXhEdEwqFuHbtCqwb21TZ/VYlqokbqCZu4GNNAD/ropq4gY818RFXH6c1s/+Es0NjdBm7Fo+fiw8Y3b6fjoLCInRoYSo61rBBLejVqYlrd9JKfK+M1++Rl1+IAV2a4knGW9x+8KTK85OqR410y49mupDfwvjx41G3bl04ODigfv36yMjIgJ+fH7S1tWFnZwfgc6+W6dOn47///oORkRFWr16NrKysn37vyZMnw97eHqtXr0bPnj0RGRmJEydOQPDVM8OCBQvQo0cP6OnpoX///pCSkkJcXBzi4+Ph5+f3w+8vLS2NESNGYM6cOWjYsKEob3Uy3HUk5s+dDQsLS1haWWPH9lB8+vQJvfuUnNnDFVQTN1BN3MDHmgB+1kU1cQMfa8rNzUF6erro+rNnT/HgwX2oq6ujTp26LCaTHNcep4A5AzCwa1P8OW0zsnPyUFtTFQDwPjsPefmF+JCdh5BDV7B8Rl+8fZ+Djzl5WD37T1yNS8X1u49E32eaS0ecvnwfQqEQvTo2wcyRjhjmGVRtlxfx8WePVC806EJ+C506dUJQUBA2bNggmtZpZ2eHiIgIUYMzNzc3xMXFwcXFBTIyMpg2bRo6dOjw0+/dunVrbNy4ET4+Ppg3bx6cnJwwbdo0BAYGis5xcnLCsWPH4Ovri+XLl0NWVhaNGjXCqFGjypTf3d0dS5YswciRIyX7B6hiXbp2w7u3b/FP4Fq8efMapo3M8M+mrdCs5tNnf4Rq4gaqiRv4WBPAz7qoJm7gY0334uMx2s1FdN1/xed+dD179cGixcvYilUhXHucxg6wBwCc2TpV7PjoBdux4+g1AIDnqv0QChnsWjUK8nIyOHv5PqYs3SN2fufW5vAc5QR5WRncTXyGP6dtxunohF9SgyT4+LNXlQTg8JQTlgiYb5tYEEIqbPTo0Xjw4AEuXrxYKd/v4sWL6NixI548eYLatWuX++vziiolBiGEEEJ+U3x8x8Dl5QrfU6PZJLYjVIm31wN/fhLHKMqynUAy7z+Vf/fXyqKuyM3uKDTThZBKsGrVKjg6OkJZWRknTpxAaGgo/vnnnwp/3/z8fLx+/RoLFy7En3/+KdGACyGEEEIIIYQQdnBzqIiQaub69etwdHSElZUVNm7ciLVr15Z56dCP7Nq1Cw0aNEBWVhZWrFhRCUkJIYQQQgghRDLUSLf8aHkRIb8BWl5ECCGEkIrg4zsGLr+J+x5aXsQdXF1e9CGPveVFagrcnDNCy4sIIYQQQgghhBDyUzwcq6xyNNOFkN8AzXQhbKmu20NWhJQUvdwghBA+KObh36hPBcVsR6gSstLcnOHwI1xtCvuRxZkuqhyd6cLN1IQQQgghhBBCCCHVHC0vIoQQQgghhBBCyM/RhN9yo5kuhFSSc+fOQSAQICsri+0ohBBCCCGEEEKqARp0Ib+NkJAQaGholHqbQCDAoUOHfmkevtm98190dXRAMxsrDB30J+7eucN2pAqjmqq38D27MKCvM9q0/ANtWv4Bl6EDceniBbZjVQo+PU5f8LEmgJ91UU3cQDVxS/DWzbC1aoSVy5ewHaVcYmNuwnPqBDg7tUfrPyxwISpC7PZtm9ZjcN8e6Ni6Kbq0t8OU8e64d5dbj1txcTE2rv8bvbp1QtsWTdCnR2ds2/wPqPVp6QQs/o+raNCFkJ9gGAZFRdSJ9kdOnjiOVSuWYuyEidi99yBMTRth/Fh3ZGZmsh1NYlRT9Ve7dm1MnjoD/+7Zj39370PzFi0xzWMiUpKT2I5WIXx7nAB+1gTwsy6qiRuoJm65F38X+/ftQUMTU7ajlNunT59gbGKKGbPnlXq7rl4DTJ/9F8L2HMQ/27ZDp049TJs4Gu/evf3FSSUXFrwV+/fuxiyvedhz4D9MmjID20O2IXzXDrajEZ6gQRdCvvFlmdCJEyfwxx9/QF5eHpcuXUJ+fj48PDxQq1YtKCgooE2bNrhx48YPv9f+/fthYWEBeXl56Ovrw9/fX+z2jIwMdO/eHYqKijAwMMDOnTuhr6+PgIAAAICbmxt69Ogh9jWFhYWoVasWtm3bVql1V8T20GD07T8Avfv0g5GxMeZ5+0BBQQGHDuxnO5rEqKbqr117B7S1b4cGDfTRQN8AkzymQUlJCXfuxLEdrUL49jgB/KwJ4GddVBM3UE3ckZubg7+8ZmK+9yKoqamxHafc7Fq3xZgJU9DOoVOpt3fu2gPNWtihXn1dGBoZw2O6J3JyspGSlPiLk0ruTtxt2Ld3QBv79qhbrx46OjqhhV1r3Iu/y3a0akkgYO/CVTToQsh3eHl5YdmyZbh//z6sra3h6emJ/fv3IzQ0FDExMTA2NoaTkxPevi19JP/WrVsYMGAABg0ahLt372LhwoWYP38+QkJCROe4uLjg+fPnOHfuHPbv34/Nmzfj1atXottHjRqFkydPIiMjQ3Ts2LFjyM3NxcCBA6us9vIoLCjA/YR7aGnXSnRMSkoKLVu2wp242ywmkxzVxD3FxcU4eeI/fPqUC+vGTdiOIzE+Pk58rAngZ11UEzdQTdyybLEv2rRtjxZf1cZXhYUFOHxgL1RUVGHckDuzeqwb2+Dmtat4/DgNAJD48AHibsegVeu2LCcjfEG7FxHyHb6+vnB0dAQA5OTkYMOGDQgJCUHXrl0BAFu2bMGZM2ewbds2zJo1q8TXr169Gh07dsT8+fMBACYmJkhISMDKlSsxYsQIPHjwAGfPnsWNGzfQtGlTAMDWrVvRsGFD0fdo1aoVTE1NsX37dnh6egIAgoOD8eeff0JFRaXU3Pn5+cjPzxc7xkjLQ15evoL/IqV7l/UOxcXF0NTUFDuuqamJtLTUKrnPqkY1cUdS4kO4DhuMgoJ8KCopwT8gEEZGxmzHkhgfHyc+1gTwsy6qiRuoJu44deI/PEhIwPbd+9iOUqWiL5yD99yZyMvLg6aWNgL+2QKNGjXYjlVmrm6jkZOTjQG9u0NKWhrC4mKMnzQVXbr3ZDsa4Qma6ULId3wZCAGAlJQUFBYWonXr1qJjsrKyaN68Oe7fv1/q19+/f1/sfABo3bo1kpKSUFxcjIcPH0JGRga2trai242NjVHjmz9So0aNQnBwMADg5cuXOHHiBNzc3L6be+nSpVBXVxe7rFy+tOyFE8Ih+gYG2L3vIML+3YM/BwzCgnleSElJZjsWIYSQ39yLFxlYuWwJ/JatqrIPvqoL22bNEbJrPzYG/4uWrdpgvtcMvHvLnV48Z0+fwMnjx7Bo6Ups37Uf3ouWYkdYEI4dOcR2tGpJwOKFq2imC/ltqKmpIScnB0KhEFJS/z/e+GWLZ3V1dbHzlZWVf2W873JxcYGXlxeuXLmCy5cvw8DAAG3bfn+645w5czB9+nSxY4x01f2xr6FRA9LS0iUa3WVmZkJLS6vK7rcqUU3cISsrBz29BgAAcwtL3IuPx64dYZjn7ctyMsnw8XHiY00AP+uimriBauKG+/fu4e3bTAwd2Fd0rLi4GDG3biJ817+4eusOpKWlWUxYeRQVlVBftwHq6zaApVVjDOzdFUcPHYCL22i2o5XJ2jWr4DpyFDp36Q4AMG5ogoyM5wgN2owezr3ZDUd4gWa6kN+GqakpioqKEBsbK3Y8JiYGwOflP99jZGQEOTk5REdHi44VFhbixo0bMDc3L/VrzMzMxM4HgOjoaJiYmEBaWlqU5/bt/1+rnJycjHfv3ol9jaamJnr37o3g4GCEhIRg5MiRP6xTXl4eampqYpeq/IRFVk4OZuYWuHb1iuiYUCjEtWtXYN3YpsrutypRTdzFMEIUFBSwHUNifHyc+FgTwM+6qCZuoJq4oXnLlgg/cAS79h4UXcwtLNG1e0/s2nuQNwMupREKGRQWcudvcV7eJwikxN8WS0tJQygUspSomqOpLuVGM13Ib8PCwgKdO3eGm5sb/P39YWhoiIcPH2Lq1KkYOHAg6tWr992vVVZWxvjx4zFr1izUrFkTenp6WLFiBXJzc+Hu7l7q18yYMQPNmjXDokWLMHDgQFy5cgWBgYH4559/AACNGjVCp06dMGbMGGzYsAGysrKYMWMGFBUVIfimPfeoUaPQo0cPFBcXw9XVtfL+USrJcNeRmD93NiwsLGFpZY0d20Px6dMn9O7T9+dfXE1RTdXf2gB/tG5jjzp16iAnJwcnjh/DzRvX8c/GrWxHqxC+PU4AP2sC+FkX1cQNVFP1p6ysAuOG4h/oKSoqQl1Do8Tx6iw3NwdPn6SLrj9//hSJD+9DTU0d6hoaCN22GW3adYCWljayst7hQPguvHn9Eh06ObGYunza2ndAyNZN0NGpA0Ojhnj4MAE7d4SgZy9u/uyR6ocGXchvZc+ePfD29sbYsWPx/Plz1K9fH3369BE1u/2RZcuWQSgUYvjw4fj48SOaNm2KU6dOlejB8oWtrS3Cw8OxYMECLFq0CHXq1IGvry9GjBghOicsLAzu7u6wt7eHjo4Oli5dinv37kFBQUHse3Xq1Al16tSBhYUF6tatW6F/g6rQpWs3vHv7Fv8ErsWbN69h2sgM/2zaCk2OTgkGqCYuePv2Leb/NRtvXr+GiqoqGjY0xT8bt6Jlq9Y//+JqjG+PE8DPmgB+1kU1cQPVRH6VBwn3MHns/8+yXrd6BQCga49emDXXG48fpeHEscN4n/UOauoaMLOwxD9bw2DIoab2M73mYdP6v7FiqS/evX0LLe1a6NNvAEaNncB2NMITAoZhGLZDEEI+e/r0KXR1dXH27Fl07NhRdDw7Oxv16tVDcHAw+vYt/6h7XlFlpiSk7IRC/v2JkZLi8PxWQgghIsU8/Bv1qaCY7QhVQlaaf10x1BW5WdOnQvbuW1GWvfuuCG4+0oTwRGRkJI4cOYK0tDRcvnwZgwYNgr6+Puzt7QF8Xs/86tUrLFq0CBoaGnB2dmY5MSGEEEIIIYRww/r166Gvrw8FBQW0aNEC169f/+UZaHkRISwqLCzE3LlzkZqaClVVVbRq1Qr//vsvZGU/D+Omp6fDwMAA9evXR0hICGRk6FeWEEIIIYQQwg4Bhyb87tmzB9OnT8fGjRvRokULBAQEwMnJCQ8fPkStWrV+WQ5aXkTIb4CWFxG20PIiQggh1RUtL+IOWl5UfbD5vkJQnI/8/HyxY/Ly8t/dqbVFixZo1qwZAgMDAXxeRaCrq4vJkyfDy8uryvOKMIQQUgny8vIYb29vJi8vj+0olYaPNTEMP+uimriBauIGqok7+FgX1cQNVBNhg7e3NwNA7OLt7V3qufn5+Yy0tDRz8OBBseMuLi6Ms7Nz1Yf9Cs10IYRUig8fPkBdXR3v37+Hmpoa23EqBR9rAvhZF9XEDVQTN1BN3MHHuqgmbqCaCBvy88s+0+X58+eoV68eLl++DDs7O9FxT09PnD9/HteuXavyvF9QgwhCCCGEEEIIIYRUaz9aSlSdcXMhGSGEEEIIIYQQQkgptLS0IC0tjZcvX4odf/nyJXR0dH5pFhp0IYQQQgghhBBCCG/Iycnhjz/+QEREhOiYUChERESE2HKjX4GWFxFCKoW8vDy8vb05OeXve/hYE8DPuqgmbqCauIFq4g4+1kU1cQPVRLhg+vTpcHV1RdOmTdG8eXMEBAQgJycHI0eO/KU5qJEuIYQQQgghhBBCeCcwMBArV67Eixcv0KRJE6xduxYtWrT4pRlo0IUQQgghhBBCCCGkClBPF0IIIYQQQgghhJAqQIMuhBBCCCGEEEIIIVWABl0IIYQQQgghhBBCqgANuhBCCCGEEEIIIYRUARp0IYRIJCoqiu0IlS4nJ4ftCITwSrt27RAWFoZPnz6xHYX8gLS0NF69elXieGZmJqSlpVlIJJkPHz6U+UKqD29vbzx+/JjtGJUqJiYGd+/eFV0/fPgwevfujblz56KgoIDFZJJLTU1lO0KlCw4ORm5uLtsxyG+ABl0IIRLp0qULjIyM4OfnhydPnrAdp1LUrl0bbm5uuHTpEttRfolOnTrB0NCQ7RgSu3jxIoYNGwY7Ozs8e/YMALB9+3bOPn76+vrw9fVFeno621EqjY2NDWbOnAkdHR2MHj0aV69eZTtShYWGhuK///4TXff09ISGhgZatWrF2TeO39vIMj8/H3Jycr84jeQ0NDRQo0aNH16+nMNVfHyeOHz4MIyMjNCxY0fs3LkT+fn5bEeqsLFjxyIxMRHA58GKQYMGQUlJCXv37oWnpyfL6SRjbGyMDh06YMeOHcjLy2M7TqXw8vKCjo4O3N3dcfnyZbbjEB6jQRdCiESePXuGSZMmYd++fTA0NISTkxPCw8M5+wkOAOzYsQNv376Fg4MDTExMsGzZMjx//pztWBX2vU9y+vTpA1dXVxYSVdz+/fvh5OQERUVF3L59W/Qi/f3791iyZAnL6SQzdepUHDhwAIaGhnB0dMTu3bs5/+YjICAAz58/R3BwMF69egV7e3uYm5tj1apVePnyJdvxJLJkyRIoKioCAK5cuYL169djxYoV0NLSwrRp01hOVz5r167F2rVrIRAIsHXrVtH1tWvXYs2aNZg4cSIaNWrEdswyi4qKQmRk5A8vX87hKj4+T8TGxuLGjRuwsLDAlClToKOjg/Hjx+PGjRtsR5NYYmIimjRpAgDYu3cv7O3tsXPnToSEhGD//v3shpNQTEwMrK2tMX36dOjo6GDs2LG4fv0627Eq5NmzZwgNDcWbN2/Qvn17NGrUCMuXL8eLFy/Yjkb4hiGEkAq6desWM2nSJEZTU5PR1NRkJk+ezMTGxrIdS2KvXr1i/P39GSsrK0ZGRobp3r07s3//fqawsJDtaBKpVasWo6qqyri5uTHR0dFsx6kUTZo0YUJDQxmGYRgVFRUmJSWFYRiGiYmJYWrXrs1mtAq7desWM3nyZEZLS4upUaMGM3HiRObWrVtsx6oUL1++ZBYtWsQoKCgwsrKyTK9evZiIiAi2Y5WLoqIi8/jxY4ZhGMbT05MZPnw4wzAMEx8fz2hpabEZrdz09fUZfX19RiAQMLq6uqLr+vr6jImJCdO5c2fm6tWrbMckpeDr80RBQQGzf/9+pkePHoysrCxjZWXFBAQEMFlZWWxHKxdVVVUmMTGRYRiG6dSpExMQEMAwDMM8fvyYUVBQYDNahRUWFjL79+9nevbsycjKyjIWFhaMv78/8+rVK7ajVciLFy+YVatWMVZWVoysrCzTs2dP5tChQ0xxcTHb0QgP0KALIaRSPHv2jPH29mbk5eUZZWVlRlpammnTpg0THx/PdrQKWbt2LSMvL88IBAJGW1ubmT9/PpOTk8N2rHIpLCxkDhw4wDg7OzOysrKMqakps2zZMiYjI4PtaBJTVFRk0tLSGIYRH3RJSUlh5OXlWUxWeQoKCpiAgABGXl6ekZKSYho3bsxs27aNEQqFbEeTyLVr15hx48YxGhoajJ6eHrNgwQLG3d2dUVRUZGbMmMF2vDLT1tZmYmJiGIb5PPgXFhbGMAzDJCcnM8rKymxGk1j79u2Zt2/fsh2jSuTk5DD3799n4uLixC58wbfnifz8fGb37t1M586dGRkZGcbe3p4xNjZmVFVVmd27d7Mdr8w6dOjAuLi4MGFhYYysrCyTlJTEMAzDnDt3jmnQoAG74SpJXl4es3r1atFrJHl5eWb48OHM8+fP2Y4msatXrzJjxoxh5OXlGX19fUZdXZ3R19dnoqKi2I5GOI4GXQghEisoKGD27t3LdO3alZGRkWFatmzJbNmyhcnOzmbS0tKYoUOHMmZmZmzHLLcXL14wy5cvZ8zMzBglJSVm6NChTGRkJBMWFsZYWFgwjo6ObEeUGF8+yTEwMGDOnDnDMIz4oEtoaCgnf+a+VlBQwOzZs4fp0qULIy0tzbRu3ZoJCgpifH19mdq1azODBw9mO2KZvXz5klm1ahVjYWHByMnJMf369WNOnDgh9obw4sWLnBqsGDJkCGNra8u4u7szSkpKzJs3bxiGYZjDhw8zFhYWLKcjX7x69Yrp3r07IyUlVeqF6/j0PMEwDHPz5k1m4sSJTM2aNZk6deows2fPFg1UMMznD0Bq1arFYsLyiYuLYywtLRk1NTVm4cKFouOTJk3i3GPzrRs3bjDjx49natSowdSvX5/566+/mNTUVObChQtMx44dmWbNmrEdsVxevHjBrFy5kjE3N2cUFBSYQYMGiV5fZGdnM56enoyenh7LKQnX0aALIUQiX5YT1axZk5kyZQpz9+7dEudkZGQwAoGAhXSS+XpKc+PGjZl169Yx7969EzsnOTmZkZWVZSdgJeHDJzlLlixhzM3NmatXrzKqqqrMxYsXmR07djDa2trM2rVr2Y4nka+X6WlrazMzZsxg7t+/L3bO3bt3OTU1XVZWlmnUqBGzYsWK7049f//+PdO+fftfnExy7969YyZOnMg4OzszJ06cEB1fsGAB4+fnx2IyyRUVFTFbt25lBg8ezHTs2JHp0KGD2IWLhgwZwrRu3Zq5ceMGo6yszJw+fZrZvn07Y2pqyhw7dozteBLj4/OEpaUlIyMjw3Tr1o05ePAgU1RUVOKc169fc+r1xPd8+vSJKSgoYDuGRPz9/RlLS0vR0tCjR4+W+MDmyZMnjLS0NEsJy+/Laz4LCwtmzZo1TGZmZolzXr58yYufPcIuGnQhhEjEwcGB2blzJ5OXl/fdcwoLC5lz5879wlQVo6amxowdO5a5fv36d8/Jzc0V+9SKK/j2SY5QKGT8/PwYZWVlRiAQMAKBgFFQUGDmzZvHdjSJSUlJMU5OTkx4ePh3X5RnZ2czI0aM+MXJJHfhwgW2I5AymDhxIqOsrMwMGDCAmTJlCjN16lSxCxfp6Ogw165dYxjmc3+Nhw8fMgzzeUZS69at2YxWIXx8nvD19WWePn3KdoxK9+7dO2bLli2Ml5eX6M38rVu3OFursbExs2TJkh8uH8rPz2dCQkJ+YaqKcXNzYy5fvvzDc4RCIfPo0aNflIjwlYBhvrNPICGE/EaKioqwefNm9OvXD7Vr12Y7TqXq2bMnTp06BRMTE4waNQouLi6oWbOm2DmvXr2Cjo4OhEIhSyklU1BQgOTkZGRnZ8Pc3BwqKipsR5LY48eP0aBBA7ZjkDK4ePEiNm3ahNTUVOzduxf16tXD9u3bYWBggDZt2rAdr9y0tLQQFhaGbt26sR2l0qipqeHOnTvQ19dHgwYNsHPnTrRu3RppaWmwsLAodUc3LqDnCW64c+cOOnbsCA0NDTx69AgPHz6EoaEh5s2bh/T0dISFhbEdsVyKiorg5+eHUaNGoX79+mzHIYRzZNgOQAjhptDQUGhpaaF79+4AAE9PT2zevBnm5ubYtWsX514UysjIYObMmaJ6+KRWrVo4f/487OzsvnuOtrY20tLSfmGqyiEnJwdzc3O2Y1QKrv3OlIWNjQ0EAkGJ4wKBAAoKCjA2NsaIESPQoUMHFtJJZv/+/Rg+fDiGDh2KmJiYEtuVHz9+nOWE5ScnJwdjY2O2Y1QqU1NTPHz4EPr6+mjcuDE2bdoEfX19bNy4EXXq1GE7nsT4+Dwxffr0Uo9//TzRq1evEh8WVGfTp0/HyJEjsWLFCqiqqoqOd+vWDUOGDGExmWRkZGTg7++PESNGsB2lUq1du7bU41//7Nnb20NaWvoXJyN8QzNdCCESMTU1xYYNG+Dg4IArV66gU6dOWLNmDY4dOwYZGRkcOHCA7Yjl1r59e0ydOhW9e/dmOwr5iZycHCxbtgwRERF49epViRk6qampLCWTXI0aNco0QDFy5EgW0klmzpw52LBhA6ysrNC8eXMAwI0bN3Dnzh2MGDECCQkJiIiIwIEDB9CrVy+W05aNjY0Npk2bBhcXF6iqqiIuLg6Ghoa4ffs2unbtihcvXrAdsdz8/f2RmpqKwMDAUn8GuWjHjh0oKirCiBEjcOvWLXTp0gVv376FnJwcQkJCMHDgQLYjSoSPzxMdOnRATEwMiouLYWpqCgBITEyEtLQ0GjVqhIcPH0IgEODSpUucGWRXV1dHTEwMjIyMxJ4nHj9+DFNTU+Tl5bEdsdx69eqFvn37wtXVle0olcbAwACvX79Gbm4uatSoAQB49+4dlJSUoKKiglevXsHQ0BBRUVHQ1dVlOS3hMprpQgiRyJMnT0SfjB46dAj9+vXDmDFj0Lp1a7Rv357dcBKaMGECZsyYgadPn+KPP/6AsrKy2O3W1tYsJau4iIiI7w5QBAUFsZRKcqNGjcL58+cxfPhw1KlThxdvFBcsWIDFixeja9euogGK69ev4+TJk5g4cSLS0tIwfvx4FBUVYfTo0SynLZs3b95gxowZmD9/vthxPz8/PH78GKdPn4a3tzcWLVrEmUGXhw8fwt7evsRxdXV1ZGVl/fpAleDSpUuIiorCiRMnYGFhAVlZWbHbuTiIPmzYMNF///HHH3j8+DEePHgAPT09aGlpsZisYvj4PPFlFktwcDDU1NQAfJ45NmrUKLRp0wajR4/GkCFDMG3aNJw6dYrltGUjLy+PDx8+lDiemJgIbW1tFhJVXNeuXeHl5YW7d++W+hrJ2dmZpWSSW7JkCTZv3oytW7fCyMgIAJCcnIyxY8eKXtMOGjQI06ZNw759+1hOS7iMZroQQiRSq1YtnDp1CjY2NrCxscH06dMxfPhwpKSkoHHjxsjOzmY7YrlJSUmVOCYQCMAwDAQCAYqLi1lIVXE+Pj7w9fVF06ZNSx2gOHjwIEvJJKehoYH//vsPrVu3ZjtKpenXrx8cHR0xbtw4seObNm3C6dOnsX//fqxbtw6bN2/G3bt3WUpZPurq6rh161aJpSvJycn4448/8P79ezx48ADNmjXDx48fWUpZPoaGhti8eTM6deok9gl2WFgYli1bhoSEBLYjltvPZkUEBwf/oiSVx9fXFzNnzoSSkpLY8U+fPmHlypVYsGABS8kqho/PE/Xq1cOZM2dKzGK5d+8eOnfujGfPniEmJgadO3fGmzdvWEpZPqNGjUJmZibCw8NRs2ZN3LlzB9LS0ujduzfs7e0REBDAdsRyK+010hdcfY1kZGSE/fv3o0mTJmLHb9++jX79+iE1NRWXL19Gv379kJGRwU5Iwg8sNvElhHDYkCFDGFtbW8bd3Z1RUlJi3rx5wzDM550hLCwsWE4nmUePHv3wwlU6OjpMWFgY2zEqlb6+PpOQkMB2jEqlrKzMJCUllTielJTEKCsrMwzzectyJSWlXx1NYrVq1WJCQ0NLHA8NDWVq1arFMAzD3Lt3j9HS0vrV0STGx+3K+UhKSop5+fJlieNv3rxhpKSkWEhUOfj4PKGsrMxERUWVOB4VFcWoqKgwDMMwKSkpjKqq6i9OJrmsrCymU6dOjIaGBiMtLc3o6uoysrKyjL29PZOdnc12PPI/ioqKzI0bN0ocv379OqOoqMgwDMOkpaWJfrcIkRQtLyKESGT9+vWYN28enjx5gv3790NTUxMAcOvWLQwePJjldJLhY4NC4PMOP61atWI7RqVatGgRFixYgNDQ0BKfZHNVzZo1cfToUUybNk3s+NGjR0UNJHNycsSaMlZ3kydPxrhx43Dr1i00a9YMwOeeLlu3bsXcuXMBAKdOnSrxKWN15uXlBaFQiI4dOyI3Nxf29vaQl5fHzJkzMXnyZLbjSayoqAjnzp1DSkoKhgwZAlVVVTx//hxqamqc3BWM+d8MxW/FxcVxqiHrt/j4PNGrVy+4ubnB399f7Hli5syZoh5r169fh4mJCYspy0ddXR1nzpxBdHQ04uLikJ2dDVtbW3Tq1IntaJUiLy8PCgoKbMeosA4dOmDs2LHYunUrbGxsAHye5TJ+/Hg4ODgAAO7evQsDAwM2YxIeoOVFhBDyjYSEBKSnp6OgoEDsOBfXKwPA7NmzoaKiUqKvBpfZ2NggJSUFDMNAX1+/RA+KmJgYlpJJbsuWLRg/fjy6desm1nT2+PHj2LhxI9zd3eHv74/r169jz549LKctu3///ReBgYF4+PAhgM9NuCdPnizawePTp0+iJqBcwrftyrt06YL09HTk5+cjMTERhoaGmDJlCvLz87Fx40a2I5bZl0az79+/h5qamtjAS3FxMbKzszFu3DisX7+exZSS4+PzRHZ2NqZNm4awsDAUFRUB+LxbjqurK9asWQNlZWXExsYCAGcGaMPCwjBw4EDIy8uLHS8oKMDu3bvh4uLCUjLJFRcXY8mSJdi4cSNevnwpep6YP38+9PX14e7uznbEcnvx4gWGDx+OiIgI0euIoqIidOzYEdu3b0ft2rURFRWFwsJCdO7cmeW0hMto0IUQIrF3795h27ZtuH//PgDAzMwMbm5unP0UMTU1FX369MHdu3dFvVwAiF60c2m98tdbcAqFQoSGhsLa2hrW1tYlBihWr179q+NVmI+Pzw9v9/b2/kVJKld0dHSpAxR8m6nEZW5ubvj7779LzCTIycnB5MmTOdmYunfv3lBVVcW2bdugqakp6lNz7tw5jB49GklJSWxHLLPQ0FAwDAM3NzcEBARAXV1ddJucnBz09fVhZ2fHYsKK4+vzRHZ2tmjnOUNDQ04PZEpLSyMjIwO1atUSO56ZmYlatWpx6vXEF76+vggNDYWvry9Gjx6N+Ph4GBoaYs+ePQgICMCVK1fYjiixBw8eIDExEcDn36cvu2gRUllo0IUQIpELFy6gZ8+eUFdXR9OmTQF8XlqUlZWFo0ePlrq7R3XXs2dPSEtLY+vWrTAwMMD169eRmZmJGTNmYNWqVWjbti3bEcusQ4cOZTpPIBAgMjKyitOQ392tW7dEg7MWFhaiadxc9L03U2/evIGOjo7ok3ou0dTUxOXLl2FqairWHPjRo0cwNzdHbm4u2xHL7fz582jVqlWJQWZSvT19+hQAUL9+fZaTVIyUlBRevnxZYqeiuLg4dOjQAW/fvmUpmeSMjY2xadMmdOzYUex54sGDB7Czs8O7d+/Yjlgh337QRkhlop4uhBCJTJw4EQMHDsSGDRsgLS0N4PNMkAkTJmDixImc2TXha1euXEFkZCS0tLQgJSUFKSkptGnTBkuXLoWHhwdu377NdsQyi4qKYjsCkUBxcTEOHTokNkDh7Ows+h3jmlevXmHQoEE4d+4cNDQ0AABZWVno0KEDdu/ezamtUz98+ACGYcAwDD5+/Ci2HKq4uBjHjx8vMRDDFUKhsNRP3p8+fcqp3iBfa9eunei/8/LySiwX/bI1MRfx7XlCKBTCz88P/v7+op0PVVVVMWPGDPz1118/3DWnurGxsYFAIIBAIEDHjh0hI/P/b7WKi4uRlpaGLl26sJhQcs+ePSuxEx3w+fErLCxkIVHlCAsLw8qVK0Uz+kxMTDBr1iwMHz6c5WSET2jQhRAikeTkZOzbt0/sRZ60tDSmT5+OsLAwFpNJrri4WPQGQ0tLC8+fP4epqSkaNGggmsbNNY8ePcKZM2dQWFiIdu3awcLCgu1IEqtZsyYSExOhpaUl6tvwPVz8FDE5ORndunXDs2fPRFObly5dCl1dXfz3338wMjJiOWH5TZ48GR8/fsS9e/dgZmYG4HPPJFdXV3h4eGDXrl0sJyw7DQ0N0Zup0hp6CgSCny57q646d+6MgIAAbN68GcDnWrKzs+Ht7Y1u3bqxnE4yubm58PT0RHh4ODIzM0vczsXlHQA/nyf++usvbNu2DcuWLUPr1q0BAJcuXcLChQuRl5eHxYsXs5yw7L40/o2NjYWTk5PYEqkvy9v69evHUrqKMTc3x8WLF0tsOrBv3z7Ozl5cvXo15s+fj0mTJon97I0bNw5v3rwp0bCaEEnRoAshRCK2tra4f/9+iXWv9+/fR+PGjVlKVTGWlpaIi4uDgYEBWrRogRUrVkBOTg6bN2+GoaEh2/HKLSoqCj169MCnT58AfG5MGBQUhGHDhrGcTDJr1qwRDYqtWbOGd1OAPTw8YGRkhKtXr4r6ImVmZmLYsGHw8PDAf//9x3LC8jt58iTOnj0rGnABPr9wX79+PeeaEkZFRYFhGDg4OGD//v1ivavk5OTQoEED1K1bl8WEkvP394eTkxPMzc2Rl5eHIUOGICkpCVpaWpwaGPvarFmzEBUVhQ0bNmD48OFYv349nj17hk2bNmHZsmVsx5MYH58nQkNDsXXrVrFm9dbW1qhXrx4mTJjAqUGXL/3E9PX1MXDgQM41CP+RBQsWwNXVFc+ePYNQKMSBAwfw8OFDhIWF4dixY2zHk8i6deuwYcMGscbGzs7OsLCwwMKFC2nQhVQa6ulCCJHInj174OnpicmTJ6Nly5YAgKtXr2L9+vVYtmyZ2Jssa2trtmKWy6lTp5CTk4O+ffsiOTkZPXr0QGJiIjQ1NbFnzx7R9oFc0aZNG2hpaWHDhg1QUFDAvHnzcPDgQTx//pztaKQUysrKuHr1KqysrMSOx8XFoXXr1qJp91yiqqqKixcvlthx5Pbt22jXrh0+fPjATrAKePz4MXR1dTm15KEsioqKsHv3bty5c0e0ve3QoUOhqKjIdjSJ6OnpISwsDO3bt4eamhpiYmJgbGyM7du3Y9euXTh+/DjbESXCx+cJBQUF3Llzp8QMsocPH6JJkyaiDw64iE/9rADg4sWL8PX1FdsGe8GCBZwbRP9CQUEB8fHxJZZNJSUlwcrKCnl5eSwlI3xDgy6EEIn87A3Hl91/BAIBZ6dxA5+XqfxsKUt1paGhgcuXL8Pc3BzA5+n2ampqePnyJTQ1NVlOVzHHjx+HtLQ0nJycxI6fPn0axcXF6Nq1K0vJJFezZk0cO3asxA4k0dHR6NmzJyeXTPXq1QtZWVnYtWuXaBbIs2fPMHToUNSoUQMHDx5kOaFksrKyxHZus7CwgJubm9hOOYRdKioqSEhIgJ6eHurXr48DBw6gefPmSEtLg5WVFScHJwB+Pk+0aNECLVq0wNq1a8WOT548GTdu3MDVq1dZSiY5PvWz4jNLS0sMGTIEc+fOFTvu5+eHPXv2cLI/IameaHkRIUQiaWlpbEf4Jbi6/TXwufGnlpaW6LqSkhIUFRXx/v17zg+6eHl5lbpEQCgUwsvLi5ODLj169MCYMWOwbds2NG/eHABw7do1jBs3TmzaPZcEBgbC2dkZ+vr60NXVBQA8efIElpaW2LFjB8vpJHPz5k04OTlBUVFR9DitXr0aixcvxunTp2Fra8tyQsk8f/4cly5dwqtXryAUCsVu8/DwYCmV5AwNDZGWlgY9PT00atQI4eHhaN68OY4ePSp6E8xFfHyeWLFiBbp3746zZ8+KtvO+cuUKnjx5wtkZSXzqZ8VnPj4+GDhwIC5cuCDq6RIdHY2IiAiEh4eznI7wCc10IYSQ/8nJycGyZcsQERFR6huP1NRUlpJJRkpKCqGhoWKfvg8ePBgBAQGoXbu26BgXX6grKiri/v370NfXFzv+6NEjWFhYICcnh51gFZCVlQVXV1ccPXpUtM1tUVERnJ2dERISwtlZFAzD4OzZs3jw4AEAwMzMDJ06dWI5leTatm0LY2NjbNmyRbQzSVFREUaNGoXU1FRcuHCB5YTlFxISgrFjx0JOTg6amppiM/sEAgHnnvuAz32fpKWl4eHhgbNnz6Jnz55gGAaFhYVYvXo1pkyZwnZEifD1eeL58+dYv3692PPEhAkTONsnSV1dHWfPnkWzZs3Ejl+/fh2dO3dGVlYWO8Eq4HuzfgUCARQUFGBsbIwRI0Zg5MiRLKST3K1bt7BmzRrRzEUzMzPMmDGD80vBSPVCgy6EEImlpKQgICBA9IfK3NwcU6ZM4eTuCcDnAYnz589j+PDhqFOnTokXF1x7kV6WnhNcXf6lo6ODnTt3luizc/bsWQwZMgSvXr1iKVnFJSUlib3xKG2LTsIeRUVF3L59G40aNRI7npCQgKZNmyI3N5elZJLT1dXFuHHjMGfOHN71qvni8ePHuHXrFoyNjTnTZ+xH6HmieuNjP6s1a9Zg8eLF6Nq1q2iW1fXr13Hy5ElMmzYNaWlp2L59O9atW4fRo0eznJaQ6oUGXQghEjl16hScnZ3RpEkTsSmZcXFxOHr0KBwdHVlOWH4aGhr477//RPWQ6mvs2LG4cuUKDh48KBrkS05ORr9+/dCsWTNs3bqV5YS/r2/7MvwIF5et1K5dG9u3by/ROPLUqVNwcXHBy5cvWUomOU1NTVy/fp2zA+aEe+7cuVPmc7k4SMbHflb9+vWDo6Mjxo0bJ3Z806ZNOH36NPbv349169Zh8+bN1boXSnkGvNTU1KowCfmd0KALIUQiNjY2cHJyKtFXw8vLC6dPn0ZMTAxLySRnYGCA48ePi+28RKqn9+/fo0uXLrh58ybq168PAHj69Cnatm2LAwcOcKZnw/Tp08t87urVq6swSeUxMDAo03lcXbbi4eGBgwcPYtWqVaJmptHR0Zg1axb69euHgIAAdgNKwNPTEzVr1oSXlxfbUSpVRETEd5eLBgUFsZSq/Pj4PCElJSVquP8jXJ2N+eTJEzg7O+PevXsl+lkdOXJE9HeLS1RUVBAbG1tiVlVycjKaNGmC7OxspKSkwNraulov8f3ys/cjfNgIglQv1EiXECKR+/fvl9pkzM3NjZNvOgBg0aJFWLBgAUJDQ6GkpMR2HPID6urquHz5Ms6cOYO4uDgoKirC2toa9vb2bEcrl9u3b5fpPC7tnsX3JturVq2CQCCAi4sLioqKAACysrIYP358qc2duWDp0qXo0aMHTp48CSsrK1GvkC+48kb+az4+PvD19UXTpk1LXS7KJfQ8wT26urqIiYnhVT+rmjVr4ujRo5g2bZrY8aNHj4o2HcjJyYGqqiob8cosKiqK7QjkN0QzXQghEtHV1cXq1avx559/ih0PDw/HzJkzkZ6ezlIyydnY2CAlJQUMw0BfX7/EGw8uzt4hpLr48nKDS28MfyQ3NxcpKSkAACMjI04P1Pr5+WHBggUwNTVF7dq1SzTSjYyMZDGdZOrUqYMVK1Zg+PDhbEchhBe2bNmC8ePHo1u3bqKeLjdu3MDx48exceNGuLu7w9/fH9evX8eePXtYTktI9UIzXQghEhk9ejTGjBmD1NRUsSn2y5cvL9dU6Oqkd+/ebEcgP7B27VqMGTMGCgoKP+0bwsVeIV97+vQpAHByCvq3wsLCsHLlSiQlJQEATExMMGvWLM6/GVZSUoKVlRXbMSqFv78/goKCMGLECLajVJqCggLR3ya+4tPzBF8a84eFhZXpPBcXlypOUvlGjx4Nc3NzBAYG4sCBAwAAU1NTnD9/XvS7NmPGDDYjSiQrKwvbtm0T/exZWFjAzc2NszuBkeqJZroQQiTCMAwCAgLg7++P58+fAwDq1q2LWbNmwcPDgzefZpPqw8DAADdv3oSmpuYP+4ZwtVeIUCiEn58f/P39kZ2dDeDzDhgzZszAX3/9xcldZVavXo358+dj0qRJogbVly5dwvr16+Hn51dimnp15ubm9tNzBAIBtm3b9gvSVC4dHR1cvHgRDRs2ZDtKpZk9ezZUVFQwf/58tqNUKj4+T/CpMX+NGjW+e5tAIEBOTg6Kioo41yuksLAQY8eOxfz588vct4sLbt68CScnJygqKorN3vn06RNOnz4NW1tblhMSvqBBF0JIhX38+BEAqv063rK6deuW2CceNjY2LCciv4M5c+Zg27Zt8PHxERugWLhwIUaPHo3FixeznLD8DAwM4OPjU+JT3dDQUCxcuJBTfR369Onz3duKi4tx9uxZ5Ofnc+7NFPC5p0tGRka5dp6q7qZMmYKwsDBYW1vD2tqaF31qAH4+T/CxMf+3MjIy4OPjg6CgIDg4OODkyZNsRyo3dXV1xMbG8mrQpW3btjA2NsaWLVsgI/N5AUhRURFGjRqF1NRUXLhwgeWEhC9o0IUQIhEHB4dSd4n58OEDevfuzckeAK9evcKgQYNw7tw5UV1ZWVno0KEDdu/eDW1tbXYDlkONGjXKPNvo7du3VZyGlEXdunWxceNGODs7ix0/fPgwJkyYgGfPnrGUTHIKCgqIj48vsdtFUlISrKyskJeXx1KyynP48GHMnTsXz58/x+zZszm5A1CfPn0QGRkJTU1NWFhYlBig+LKUgEs6dOjw3du42qcG4O/zxN27d0vMtEpMTIS1tTWnnyc+fvyI5cuX4++//4aFhQWWLl36w5/N6szV1RVNmjTh1AzFn1FUVMTt27fRqFEjseMJCQlo2rQpcnNzWUpG+IZ6uhBCJHLu3DkUFBSUOJ6Xl4eLFy+ykKjiJk+ejI8fP+LevXuibaMTEhLg6uoKDw8P7Nq1i+WEZff1DlKZmZnw8/ODk5MT7OzsAABXrlzBqVOnODX1no/bpn7t7du3JV74AUCjRo04OzBmbGyM8PBwzJ07V+z4nj17OL+UJTo6Gl5eXoiJicGkSZPg5eX1w6UF1ZmGhgb69u3LdoxKxdcdSvj4PKGtrY3Y2NgSzwmxsbGoVasWS6kqprCwEOvWrcOSJUugqamJ4OBg9O/fn+1YFdKwYUP4+voiOjoaf/zxB5SVlcVu52IvNTU1NaSnp5f4nXry5AlvZm+T6oFmuhBCyuXOnTsAgCZNmiAyMlK0TSDweYr9yZMnsWnTJjx69IilhJJTV1fH2bNn0axZM7Hj169fR+fOnZGVlcVOsArq168fOnTogEmTJokdDwwMxNmzZ3Ho0CF2gpXTt58OxsTEoKioCKampgA+fyoqLS2NP/74g5OfYrdo0QItWrQoscRj8uTJuHHjBq5evcpSMsnt378fAwcORKdOncR6NURERCA8PPyHS3aqq4SEBMyePRsnT56Ei4sLfHx8eNHIlM/41HCWj88Tvr6+WLNmDby8vEptzM+lDwcYhkFYWBgWLFiAoqIieHt7w93dHdLS0mxHqzA+9lLz8PDAwYMHsWrVKrGfvVmzZqFfv35iH2ARUiEMIYSUg0AgYKSkpBgpKSlGIBCUuCgpKTHbtm1jO6ZEVFRUmNu3b5c4HhMTw6iqqv76QJVEWVmZSUpKKnE8KSmJUVZWZiFRxfn7+zM9e/Zk3r59Kzr29u1bplevXsyqVatYTCa5c+fOMcrKyoyZmRnj5ubGuLm5MWZmZoyKigpz4cIFtuNJ7ObNm8zQoUMZW1tbxtbWlhk6dCgTExPDdqxyS09PZ0aMGMHIyMgwvXv3ZhISEtiOVKkKCwuZM2fOMBs3bmQ+fPjAMAzDPHv2jPn48SPLySRTXFzM+Pj4MGpqaqK/Werq6oyvry9TXFzMdjyJ8fF5QigUMqtXr2bq1asnei1Rr149JiAggBEKhWzHKxdLS0tGSUmJmT17NpORkcG8f/++1AupHvLz8xkPDw9GTk5O9DwhLy/PTJ06lcnLy2M7HuERmulCCCmXx48fg2EYGBoa4vr162J9TuTk5FCrVi3OfqLTq1cvZGVlYdeuXahbty4A4NmzZxg6dChq1KiBgwcPspxQMg0aNICHh0eJrRz9/f2xdu1aPH78mKVkkqtXrx5Onz4NCwsLsePx8fHo3LmzaEctrnn+/DnWr1+PBw8eAADMzMwwYcIE0c8jYY+SkhIEAoHYTkyl+bbXBhc8fvwYXbp0QXp6OvLz85GYmAhDQ0NMmTIF+fn52LhxI9sRy42PDWe/4PPzBNcb83+9e1RpfdUYhoFAIOBkw22+KS4uRnR0NKysrCAvL4+UlBQAgJGREZSUlFhOR/iGBl0IIeR/njx5AmdnZ9y7dw+6urqiY5aWljhy5Ahnp6aHhIRg1KhR6Nq1K1q0aAEAuHbtGk6ePIktW7ZgxIgR7AaUgKqqKo4ePYr27duLHY+KioKzs7PohTtXFBYWokuXLti4cSPne5187fjx45CWloaTk5PY8VOnTkEoFKJr164sJSu/smzFy9U3U71794aqqiq2bdsGTU1NxMXFwdDQEOfOncPo0aORlJTEdsRy42PDWVL9nT9/vkzntWvXroqTVD43N7cf3h4UFPSLklQeBQUF3L9/n1c7MpHqiRrpEkIkEhYW9sPbv90ilgt0dXURExODs2fPin2C2KlTJ5aTVcyIESNgZmaGtWvXinYhMTMzw6VLl0SDMFzTp08fjBw5Ev7+/mjevDmAzwNJs2bN4mRDUFlZWVG/JD7x8vIqsQ0s8PnTXi8vL04NugiFQrYjVJmLFy/i8uXLkJOTEzuur6/P2cEJPjac/SIrKwvXr1/Hq1evSvxccuVvr62tLSIiIlCjRg3Y2Nj8cLc9Lm0ZzcXBlLJ69+6d2PXCwkLEx8cjKysLDg4OLKWqGEtLS6SmptKgC6lyNOhCCJHIlClTxK4XFhYiNzcXcnJyUFJS4swLv28JBAI4OjrC0dGR7SiVqkWLFvj333/ZjlFpNm7ciJkzZ2LIkCEoLCwEAMjIyMDd3R0rV65kOZ1khg0bhm3btpU6SMFVSUlJMDc3L3G8UaNGSE5OZiERKY1QKCx1hs7Tp085u8yjcePGCAwMLNFwNjAwEI0bN2YpVcUdPXoUQ4cORXZ2NtTU1MQGKwQCAWf+9vbq1Qvy8vIAPs+0ItVfaUushUIhxo8fDyMjIxYSVZyfnx9mzpyJRYsWlbojk5qaGkvJCN/Q8iJCSKVJSkrC+PHjMWvWrBLLCbjixo0biIqKKvUTRC5uQ/yFUChEcnJyqXXZ29uzlKricnJyxNZhf/uCiUsmT56MsLAwNGzYsNQXf1z8+dPR0cHOnTtLfAp69uxZDBkyBK9evWIpGfnawIEDoa6ujs2bN0NVVRV37tyBtrY2evXqBT09PQQHB7MdsdzOnz+P7t27Q09PD3Z2dgCAK1eu4MmTJzh+/Djatm3LckLJmJiYoFu3bliyZAn1nSDVwsOHD9G+fXtkZGSwHaXcvteDh3rvkMpGgy6EkEp18+ZNDBs2TLQ8h0uWLFmCefPmwdTUFLVr1y7xCSIXtyEGgKtXr2LIkCGiJshf4/qLiuTkZKSkpMDe3h6KioqiF0pc9O2W2F/j6s/f2LFjceXKFRw8eFD0SWhycjL69euHZs2aYevWrSwnJMDnGS1OTk5gGAZJSUlo2rQpkpKSoKWlhQsXLqBWrVpsR5QIHxvOKisr4+7duzA0NGQ7CiEAPvfucnV1xevXr9mOUm4/68HD5+Vi5NeiQRdCSKWKjY2Fvb09Pnz4wHaUcqtduzaWL1/OycayP9KkSROYmJjAx8cHderUKTEooa6uzlIyyWVmZmLAgAGIioqCQCBAUlISDA0N4ebmhho1asDf35/tiATA+/fv0aVLF9y8eVPUiPrp06do27YtDhw4AA0NDXYDEpGioiLs3r0bd+7cQXZ2NmxtbTF06FAoKiqyHY18pW/fvhg0aBAGDBjAdpQKqVGjRpkHyLneg4cvpk+fLnadYRhkZGTgv//+g6urKwIDA1lKRkj1Rz1dCCESOXLkiNj1L398AwMDf7idanUmJSXF2ew/kpSUhH379sHY2JjtKJVm2rRpkJWVRXp6OszMzETHBw4ciOnTp9OgSzWhrq6Oy5cv48yZM4iLi4OioiKsra05vaSNr2RkZDBs2DC2Y1SqixcvYtOmTUhNTcXevXtRr149bN++HQYGBmjTpg3b8crs67+33bt3x6xZs5CQkAArKyvIysqKncuVLcsDAgJE/52ZmQk/Pz84OTmJLQU7deoU5s+fz1LCyvXhwwdERkbC1NRU7G8Wl9y+fVvsupSUFLS1teHv7//TnY2qm29fw36hrq4OExMT1KlT5xcnInxHM10IIRL5dvtUgUAAbW1tODg4wN/fn5N/sFasWIHnz5+LvRjkAwcHB3h6eqJLly5sR6k0Ojo6OHXqFBo3bgxVVVXRFrepqamwtrZGdnY22xHLrUOHDj/85JeLy4u+lpeXB3l5ec4u//paVlYW9u3bh5SUFMyaNQs1a9ZETEwMateujXr16rEdr9y+9wZEIBBAQUEBxsbGnNvdY//+/Rg+fDiGDh2K7du3IyEhAYaGhggMDMTx48dx/PhxtiOWWVm2Kwe4u1y0X79+6NChAyZNmiR2PDAwEGfPnsWhQ4fYCVYBAwYMgL29PSZNmoRPnz6hcePGePToERiGwe7du9GvXz+2I/7WfvQ7JRAIMGjQIGzZsoX6JpFKQzNdCCES4eP2qTNnzkT37t1hZGQEc3PzEp8gftlumWsmT56MGTNm4MWLF6V+Mmptbc1SMsnl5OSU+mLo7du3oh0xuKZJkyZi1wsLCxEbG4v4+Hi4urqyE6qChEIhFi9ejI0bN+Lly5dITEyEoaEh5s+fD319fbi7u7Mdsdzu3LmDTp06QV1dHY8ePcLo0aNRs2ZNHDhwAOnp6QgLC2M7Yrn17t0bAoGg1J5PX/oktWnTBocOHUKNGjVYSlk+fn5+2LhxI1xcXLB7927R8datW8PPz4/FZOXHx7+3Xzt16hSWL19e4niXLl3g5eXFQqKKu3DhAv766y8An3f9YRgGWVlZCA0NhZ+fHy8GXc6fP4+cnBzY2dlx5nnhi+/9Tr1//x63bt3CxIkT4efnhyVLlvziZISvyjZ0TgghZXT//n3MnDmT7RgS8fDwQFRUFExMTKCpqQl1dXWxC1f169cP9+/fh5ubG5o1a4YmTZrAxsZG9P9c1LZtW7E3twKBAEKhECtWrPhhQ9rqbM2aNWKXwMBAXLp0CVOnTi0xUMYVfn5+CAkJwYoVKyAnJyc6bmlpydkmutOnT8eIESOQlJQEBQUF0fFu3brhwoULLCaT3JkzZ9CsWTOcOXMG79+/x/v373HmzBm0aNECx44dw4ULF5CZmcmp5/aHDx+WuoxNXV0dWVlZvz4Q+S5NTU0cPny4xPHDhw9DU1OThUQV9/79e9SsWRMAcPLkSfTr1w9KSkro3r07kpKSWE5XPsuXLxdb5sUwDLp06YIOHTqgR48eMDMzw71791hMWHnU1dXh4OCANWvWcPaDNlJNMYQQUkHZ2dnM1q1bGTs7O0YgEDAWFhZsR5KIiooKc+zYMbZjVLpHjx798MJFd+/eZWrVqsV06dKFkZOTY/r378+YmZkxtWvXZpKTk9mOV6mSkpKYGjVqsB1DIkZGRszZs2cZhvn8+5WSksIwDMPcv3+f0dDQYDOaxNTU1EQ/Y1/X9OjRI0ZeXp7NaBKzsLBgoqOjSxy/dOkSY25uzjAMw5w5c4bR1dX91dEkZmBgwJw5c4ZhGPHHKTQ0lDEzM2MzWoVMnjyZ+fvvv0scX7duHTNlypRfH6gSBAcHM9LS0kyPHj2YRYsWMYsWLWJ69OjByMjIMMHBwWzHk0jDhg2ZPXv2MNnZ2Yy2tjYTERHBMAzDxMbGMpqamiynKx8bGxtm9+7douvh4eGMoqIic+nSJSYzM5Pp3r078+eff7KYsPKlpaUxysrKbMcgPEIzXQghEouOjoabmxtq166NMWPGoFWrVkhISEB8fDzb0SRSs2ZN0ba2fNKgQYMfXrjI0tISiYmJaNOmDXr16oWcnBz07dsXt2/f5t1jeOXKFbEZFVzy7NmzUhs4C4VCFBYWspCo4uTl5UvdnS0xMRHa2tosJKq4lJQUqKmplTiupqaG1NRUAEDDhg3x5s2bXx1NYqNHj8aUKVNw7do1CAQCPH/+HP/++y9mzpyJ8ePHsx1PYvv37y+14XurVq2wb98+FhJV3IgRIxAdHQ01NTUcOHAABw4cgJqaGi5dusTZ3QSnTp2KoUOHon79+qhbty7at28P4POyIysrK3bDlVNaWprYMuTjx4+jf//+aN26NWrWrIl58+bhypUrLCasfKmpqZzeWp5UP9TThRBSLq9evUJISAiCgoLw/v17DB48GOfOnYOdnR3c3NzQqFEjtiNKbOHChfD29kZwcDAvm6clJCQgPT0dBQUFYse5stvFt9TV1UVr5vmgb9++YteZ/+0IdvPmTc7u4GFubo6LFy+WGNzbt28fZ5e2OTs7w9fXF+Hh4QA+L21LT0/H7NmzOdun4Y8//sCsWbMQFhYmGjh6/fo1PD090axZMwCfd0HT1dVlM2a5eHl5QSgUomPHjsjNzYW9vT3k5eUxc+ZMTJ48me14EsvMzCx1uauamhqnBsW+1aJFC/z7779sx6g0EyZMQPPmzfHkyRM4OjqKGrcaGhpyrqdQUVGRWK+0K1euYOrUqaLrdevW5fTP3rdiY2NFPf4IqSw06EIIKZcGDRqgf//++Pvvv8VeSPDB2rVrkZKSgtq1a0NfX79EH42YmBiWklVMamoq+vTpg7t374o1y/yyiwyXdrtIT08v03l6enpVnKTyfftGSkpKCqampvD19UXnzp1ZSlUxCxYsgKurK549ewahUIgDBw7g4cOHCAsLw7Fjx9iOJxF/f3/0798ftWrVwqdPn9CuXTu8ePECdnZ2WLx4MdvxJLJt2zb06tUL9evXFw2sPHnyBIaGhqJeG9nZ2Zg3bx6bMctFIBDgr7/+wqxZs5CcnIzs7GyYm5tDRUWF7WgVYmxsjJMnT5bY6efEiRMwNDRkKUFqbxAAAFYLSURBVFXlycvLK/HBQGmzsLigadOmaNq0KYDPf2fv3r2LVq1aca7prJGRES5cuABDQ0Okp6cjMTFRrF/S06dPOdd7p0aNGqXupJeTk4OioiI4OjrCx8eHhWSEr2jQhRBSLg0aNMClS5egp6eHBg0acHpmy7d69+7NdoQqMWXKFBgYGCAiIgIGBga4fv06MjMzMWPGDKxatYrteOXy9ba13w4efTnG1W1Tg4OD2Y5Q6Xr16oWjR4/C19cXysrKWLBgAWxtbXH06FE4OjqyHU8i6urqOHPmDKKjoxEXF4fs7GzY2tqiU6dObEeTmKmpKRISEnD69GkkJiaKjn09sM7V50c5OTmYm5uzHaPSTJ8+HZMmTcLr16/h4OAAAIiIiIC/vz8CAgLYDSeh3NxceHp6Ijw8HJmZmSVu5+Lz+dSpU2FlZQV3d3cUFxejXbt2uHz5MpSUlHDs2DHRciMumDhxIiZNmoSLFy/i6tWrsLOzE/udioyM5NzMxe/9rqipqcHU1JRXzxmkehAwzDf7AxJCyE9ER0dj27Zt2Lt3L0xMTDBs2DB4enrizp07MDMzYzse+YaWlhYiIyNhbW0NdXV1XL9+HaampoiMjMSMGTNw+/ZttiOWmYyMDOrXr48RI0agZ8+ekJEp/bODxo0b/+JklSMrKwv79u1DSkoKZs2ahZo1ayImJga1a9dGvXr12I5HSLXn5ub203MEAgG2bdv2C9JUjQ0bNmDx4sV4/vw5AEBfXx8LFy6Ei4sLy8kkM3HiRERFRWHRokUYPnw41q9fj2fPnmHTpk1YtmwZhg4dynbEcqtfvz4OHTqEpk2b4tChQ6Iat2/fjsjISERHR7MdsVyCgoJw9OhR6OjowNvbGzo6OqLbJkyYAEdHR/Tp04fFhIRUbzToQgiRWHZ2Nnbt2oXg4GBcvXoV7dq1w5AhQ9C7d2/ONpTkoxo1aiAmJgYGBgYwMjLC1q1b0aFDB6SkpMDKygq5ublsRyyzFy9eIDQ0FMHBwcjKysKwYcPg7u7Oi8G+O3fuoGPHjtDQ0MCjR4/w8OFDGBoaYt68eUhPTxfbIptrCgoK8OrVKwiFQrHjXFwG5uHhAWNjY3h4eIgdDwwMRHJyMmdnG+Tk5OD8+fOl9n36ttbq7Edv/IqLi3H27Fnk5+dzcvbEt16/fg1FRUXOL5nS09NDWFgY2rdvDzU1NcTExMDY2Bjbt2/Hrl27cPz4cbYjlpuCggKSk5NRv359jBkzBkpKSggICEBaWhoaN25cajNuQgiPsbdxEiGETxISEpgZM2YwtWrVYmRkZNiOU2YaGhpMjRo1ynThqjZt2jAHDx5kGIZhBg8ezHTp0oW5dOkS4+LiwtntvRmGYS5evMi4ubkxqqqqTIsWLZjNmzczxcXFbMeSWMeOHZlZs2YxDCO+xW10dDTToEEDFpNJLjExkWnTpg0jJSUldhEIBIyUlBTb8SRSt25d5ubNmyWO37p1i6lXrx4LiSouJiaG0dHRYdTU1BhpaWlGW1ubEQgEjLKyMmNgYMB2vEpx6NAhxtzcnNHQ0GCWLl3KdhyJLViwgHn06BHbMSqVsrIy8/jxY4ZhGKZevXrMtWvXGIZhmNTUVM5u26unp8ecOnWKKSoqYnR1dZljx44xDMMw8fHxjIaGBsvpCCG/GvV0IYRUCjMzM6xatQrLli3DkSNH2I5TZlz9VLo85s2bh5ycHACAr68vevTogbZt20JTUxN79uxhOZ3k2rRpgzZt2mDJkiUYPHgwxo0bh379+qFmzZpsR5PIjRs3sGnTphLH69WrhxcvXrCQqOJGjBgBGRkZHDt2DHXq1Cm1cSHX8HH3mGnTpqFnz57YuHEj1NXVcfXqVcjKymLYsGGYMmUK2/EqJDo6Gl5eXoiJicGkSZPg5eXFuUamXzt8+DAWL16Mdu3awd3dHf369RPbWYaLDA0NkZaWBj09PTRq1Ajh4eFo3rw5jh49Cg0NDbbjSWTkyJEYMGCA6HnvS8+na9eu8aoXHiGkbGjQhRBSqWRkZEpsfVudubq6sh2hyjk5OYn+29jYGA8ePMDbt2+/272fKy5fvoygoCDs3bsXpqamWL9+PWdfoAOAvLx8qVPOExMTObtcLzY2Frdu3eLVmww+7h4TGxuLTZs2QUpKCtLS0sjPz4ehoSFWrFgBV1dXTj2nf5GQkIDZs2fj5MmTcHFxwa5du1C/fn22Y1VYbGwsbt++jeDgYEyZMgUTJ07EoEGD4ObmJtrem2tGjhyJuLg4tGvXDl5eXujZsycCAwNRWFiI1atXsx1PIgsXLoSlpSWePHmCP//8UzQwJi0tDS8vL5bTEUJ+NRp0IYSQ//nZdsRc7D/xPVydDZKRkYGwsDAEBwfj3bt3GDp0KKKjo2Fpacl2tApzdnaGr68vwsPDAXxu9pmeno7Zs2ejX79+LKeTjLm5OWdnf3wPH3ePkZWVFe1SVKtWLaSnp8PMzAzq6up48uQJy+nK58mTJ1iwYAF27NiBHj168LLBu42NDWxsbODv74+jR48iODgYrVu3RqNGjeDu7o4RI0aUOhurupo2bZrovzt16oQHDx7g1q1bMDY2hrW1NYvJKqZ///4APm+D/cXv8EEPIaQkaqRLCCH/IyUl9cOZH3xovMh1srKyqFevHlxdXeHs7AxZWdlSz+PiC/X379+jf//+uHnzJj5+/Ii6devixYsXsLOzw/Hjx6GsrMx2xHKLjIzEvHnzsGTJElhZWZV4vNTU1FhKVjF82z2mc+fOGDFiBIYMGYLRo0fjzp078PDwwPbt2/Hu3Ttcu3aN7YhlpqSkBIFAgEmTJqF169bfPc/Z2fkXpqoaBQUFOHjwIIKCghAZGYlWrVrh+fPnePnyJbZs2YKBAweyHbHC9u3bJxq84JLi4mIsWbIEGzduxMuXL5GYmAhDQ0PMnz8f+vr6cHd3ZzsiIeQXokEXQgj5n7i4OLHrhYWFuH37NlavXo3Fixdzcoo933z5NB6AaIDs2z9jAoGA0wNkly5dwp07d5CdnQ1bW1tRLwAu+vJ4fTuYyTAM5x8ngD+7x3wZ6OvQoQNevXoFFxcXXL58GQ0bNkRQUBCntmD/+jnie7j+s3fr1i0EBwdj165dkJeXh4uLC0aNGgVjY2MAwLp16+Dn54eXL1+ynPTnioqK8ODBA8jJycHExER0/PDhw1iwYAEePHiA/Px8FhNKxtfXF6GhofD19cXo0aMRHx8PQ0ND7NmzBwEBAbhy5QrbEQkhvxANuhBCyE/8999/WLlyJc6dO8d2lN/e48ePy3RegwYNqjgJKYtz5879cPZYu3btfmEaQrjPysoKDx48QOfOnTF69Gj07NkT0tLSYue8efMGtWrVKrFFe3UTHx+PHj16iJaw9erVCxs2bMCAAQMQHx+P0aNHY9KkSZzsxWNsbIxNmzahY8eOUFVVRVxcHAwNDfHgwQPY2dnh3bt3bEckhPxC1NOFEEJ+wtTUFDdu3GA7hsRycnI4uTSlNHwcTAkLCyvTeVxcutK+fXu2I1QKW1tbREREoEaNGrCxsfnhQFJMTMwvTEZ+NwMGDICbmxvq1av33XO0tLSq/YALAMyePRvGxsYIDAzErl27sGvXLty/fx/u7u44efIkFBUV2Y4osWfPnolmHn1NKBSisLCQhUSEEDbRoAshhPzPtzvHMAyDjIwMLFy4EA0bNmQpVcXVrl1b9EK9TZs2bMch3/jRlrwCgQA5OTkoKiri5KCLgYEBRo4ciREjRnC6EXWvXr1Eu4/07t2b3TBV4OXLl5g5cyYiIiLw6tWrEkv2uLwUh2/mz58vdr24uBh3795FgwYNOLcV9o0bN3D69Gk0adIEbdu2xa5duzB37lwMHz6c7WgVZm5ujosXL5b4oGDfvn2wsbFhKRUhhC006EIIIf+joaFRau8JXV1d7N69m6VUFbdjxw6EhITAwcEB+vr6cHNzg4uLC+rWrct2NAJ8d5p5RkYGfHx8EBQUBEdHx1+cqnJMmTIFISEh8PX1RYcOHeDu7o4+ffqIBjC4okaNGqJeISNHjkT9+vXL1DuEK0aMGIH09HTMnz8fderU4fRW8nw3depUWFlZwd3dHcXFxWjXrh0uX74MJSUlHDt2jFOzy968eSP6O6Surg5lZWW0bNmS5VSVY8GCBXB1dcWzZ88gFApx4MABPHz4EGFhYTh27Bjb8Qghvxj1dCGEkP85f/682HUpKSloa2vD2NgYMjLcH6N+/fo1tm/fjpCQENy/fx9OTk5wc3ODs7MzL+rji48fP2L58uX4+++/YWFhgaVLl6JDhw5sx6qQmJgYhISEYNeuXSguLsaQIUPg5uYGW1tbtqOViYyMDJ4/f45atWpBWloaGRkZqFWrFtuxKo2qqiouXryIJk2asB2F/ET9+vVx6NAhNG3aFIcOHcLEiRMRFRWF7du3IzIyEtHR0WxHLDNpaWkkJiZCW1tb9AHHpUuXoK+vL3YeV3c5u3jxInx9fREXFydqjL5gwQJ07tyZ7WiEkF+MBl0IIQSflxZdu3YNBQUFaN68ObS1tdmOVKXWrVuHWbNmoaCgAFpaWhg3bhy8vLygpKTEdrTfVmFhIdatW4clS5ZAU1MTixcv5uRWqT9SWFiIf/75B7Nnz0ZhYSGsrKzg4eGBkSNHVuvZFXp6epgzZw66desGAwMD3Lx5E1paWt89l2vMzc3x77//0rIHDlBQUEBycjLq16+PMWPGQElJCQEBAUhLS0Pjxo1LLJOtzqSkpMR+77/savbtda4tbysqKsKSJUvg5ubGySbAhJDKR4MuhJDfXmxsLLp164aXL1+CYRioqqoiPDwcTk5ObEerVC9fvkRoaChCQkLw+PFj9OnTB+7u7nj69CmWL1+OunXr4vTp02zH/O0wDIOwsDAsWLAARUVF8Pb2hru7e4kdSbissLAQBw8eRHBwMM6cOYOWLVuKfvbWr18PBwcH7Ny5k+2Y37V582ZMnjwZRUVF3z2Hq28QAeD06dPw9/fHpk2bSswy4IMJEybA19f3uwNlXNKgQQNs2bIFHTt2hIGBATZs2IDu3bvj3r17aNOmDad2xfl2dun3cHGXMxUVFcTHx/Py94kQUn406EII+e05OTkhOzsbq1atgoKCAhYtWoS7d+8iKSmJ7WiV4sCBAwgODsapU6dgbm6OUaNGYdiwYdDQ0BCdk5KSAjMzMxQUFLAX9Cd+tmvM17i0g4yVlRVSU1MxefJkTJ069buzjbg4xT4mJgbBwcHYtWsXpKSk4OLiglGjRqFRo0aic+Lj49GsWTN8+vSJxaQ/9/HjRzx+/BjW1tY4e/YsNDU1Sz2vcePGvzhZxdWoUQO5ubkoKiqCkpISZGVlxW5/+/YtS8kqh5qaGmJjY2FoaMh2lApbuHAhAgICUKdOHeTm5iIxMRHy8vIICgrCli1bcOXKFbYjEnxuvt23b1+4urqyHYUQUg3QIn5CyG/v1q1bOH36tKi/RFBQEGrWrIkPHz5w8o3ut0aOHInBgwcjOjoazZo1K/WcunXr4q+//vrFycqHj7vGAMC9e/cAACtWrMDKlStL3M7lGRTNmjWDo6MjNmzYgN69e5d4Mw983uFo0KBBLKQru7Vr12LMmDGwtLREcHAw7OzsOL2d7bcCAgLYjlCl+PT54sKFC2FlZYX09HT8+eefoqbU0tLS8PLyYjkd+aJr167w8vLC3bt38ccff0BZWVnsdmdnZ5aSEULYQDNdCCG/PSkpKbx48UKsMaaqqiru3LkDAwMDFpNVXFFRETZv3ox+/fqhdu3abMchpeDzFPvHjx+X2DKVi/jeSJfvVFVVERcXx/mZLo8ePcKZM2dQUFCAdu3awdLSku1I5Dt+tLsZVwfRCSGSo5kuhBACICEhAS9evBBdZxgG9+/fx8ePH0XHrK2t2YhWITIyMpg5cya6d+/OdhTyHVwcTCmrLwMuHz9+FJttICUlBRUVFbZilVvdunWxf/9+dOvWDQzD4OnTp8jLyyv1XC420v1aXl5eiWWGXJ/x9/XzOFdFRUWhR48eomV4MjIyCAoKwrBhw1hORkojFArZjkAIqUZopgsh5Lf3ZQeF0p4Ovxzn8idT7du3x9SpU3m1PKe4uBhr1qxBeHg40tPTS7xJ5HoPCq6LjY3F3Llzcfz4cQCfZxrk5uaKbhcIBLhy5cp3l7tVN3xvpJuTk4PZs2cjPDwcmZmZJW7nYk1806ZNG2hpaWHDhg1QUFDAvHnzcPDgQTx//pztaIQQQn6CBl0IIb+9x48fl+k8ri6TCA8Px5w5czBt2rRS15ZzcQbPggULsHXrVsyYMQPz5s3DX3/9hUePHuHQoUNYsGABPDw82I74W3N3d4eRkRHmzp0L4POgy6ZNm1CvXj0wDIOgoCAwDIPt27eznLTs+NxId+LEiYiKisKiRYswfPhwrF+/Hs+ePcOmTZuwbNkyDB06lO2Ivz0NDQ1cvnwZ5ubmAIDc3Fyoqanh5cuX3/1ZJOxZu3ZtqccFAgEUFBRgbGwMe3t7Xu1SRwj5Php0IYQQnittbTnXZ/AYGRlh7dq16N69O1RVVREbGys6dvXq1Wq9/fDvwMzMDDt37oSNjQ2Akj01rl27hgEDBpR5wLM6CQ0NxaBBg0QNTPlAT08PYWFhaN++PdTU1BATEwNjY2Ns374du3btEs1YIuz5Xu8xPvSq4SMDAwO8fv0aubm5qFGjBgDg3bt3UFJSgoqKCl69egVDQ0NERUVBV1eX5bSEkKpGPV0IIYTn0tLS2I5Q6V68eAErKysAgIqKCt6/fw8A6NGjB+bPn89mNILPs8e0tbVF1319faGlpSW6XqdOHbx8+ZKNaBU2YMAAnDp1ComJiQAAExMTODo6cno3o7dv34reuKupqYmW57Vp0wbjx49nMxr5yqlTp6Curi66LhQKERERgfj4eNEx2hWneliyZAk2b96MrVu3wsjICACQnJyMsWPHYsyYMWjdujUGDRqEadOmYd++fSynJYRUNRp0IYQQnuPqsqgfqV+/PjIyMqCnpwcjIyPRlt83btzg1QwErlJQUMDjx49Rv359AMC0adPEbn/y5AmUlJTYiFYhR44cwahRo/DmzRux41paWti2bRt69uzJUrKKMTQ0RFpaGvT09NCoUSOEh4ejefPmOHr0KDQ0NNiOVyk+fPiAyMhImJqawszMjO04EnF1dS1xbOzYsaL/5urMRT6aN28e9u/fLxpwAQBjY2OsWrUK/fr1Q2pqKlasWIF+/fqxmJIQ8qt8fz8zQgghvJGSkoLJkyejU6dO6NSpEzw8PJCSksJ2LIn16dMHERERAIDJkydj/vz5aNiwIVxcXODm5sZyOmJjY4NDhw599/YDBw6Ilh5xxeXLl9G/f3/Y29sjOjoab9++xdu3b3Hp0iW0bdsW/fv3x9WrV9mOKZGRI0ciLi4OAODl5YX169dDQUEB06ZNw6xZs1hOJ5kBAwYgMDAQAPDp0yc0bdoUAwYMgLW1Nfbv389yuvITCoU/vdCAS/WRkZFRauPtoqIi0U6JdevW5cXOWoSQn6OeLoSQ315ubi4nP3Uvq1OnTsHZ2RlNmjRB69atAQDR0dGIi4vD0aNH4ejoyHLCirt69SouX76Mhg0bcna2AZ/s378fgwYNQkBAAMaPHy/qK1RcXIx//vkHM2bMwM6dO9G/f3+Wk5Zdt27doKuri02bNpV6+9ixY/HkyRNe9D95/Pgxbt26BWNjY0422gYAHR0dnDp1Co0bN8bOnTvh7e2NuLg4hIaGYvPmzbh9+zbbEQmPde/eHS9evMDWrVtFA8y3b9/G6NGjoaOjg2PHjuHo0aOYO3cu7t69y3JaQkhVo0EXQshvT0lJCQ4ODnB2doazszN0dHTYjlSpbGxs4OTkhGXLlokd9/LywunTpxETE8NSMskUFhZi7NixmD9/PgwMDNiOQ75j9uzZWLlyJVRVVUX9QlJTU5GdnY3p06dj5cqVLCcsn5o1a+L8+fOiXkLfunPnDtq1a4d379794mSkNIqKikhMTISuri5cXFxQt25dLFu2DOnp6TA3N0d2djbbEQmPvXjxAsOHD0dERARkZWUBfJ7l0rFjR2zfvh21a9dGVFQUCgsL0blzZ5bTEkKqGg26EEJ+e+np6Th8+DAOHz6MS5cuoXHjxqIBmO+9weISBQUF3L17Fw0bNhQ7npiYCGtra+Tl5bGUTHLq6uqIjY2lQZdq7urVq9i1axeSkpIAAA0bNsTgwYPRsmVLlpOVn6KiIh48ePDdHkmPHz9Go0aN8OnTp1+cTHJhYWFlOs/FxaWKk1Q+ExMT+Pn5oXv37jAwMMDu3bvh4OCAuLg4dOzYsURfHkKqwoMHD0RNt01NTWFqaspyIkIIG2jQhRBCvvL+/XscP34chw8fxsmTJ1GzZk3RAEy7du0gLS3NdsRy09XVxerVq/Hnn3+KHQ8PD8fMmTORnp7OUjLJubq6okmTJiUatBJSVaytrTFt2jSMHDmy1NuDgoIQEBCAO3fu/OJkkpOSkoKKigpkZGTwvZeDAoFAtJsRl/zzzz+YMmUKVFRU0KBBA8TExEBKSgrr1q3DgQMHEBUVxXZE8pv48rslEAhYTkIIYQvtXkQIIV9RV1fH4MGDMXjwYBQWFuLcuXM4cuQIRo4ciY8fP2LdunUYOnQo2zHLZfTo0RgzZgxSU1PRqlUrAJ97uixfvhzTp09nOZ1kGjZsCF9fX0RHR+OPP/6AsrKy2O0eHh4sJSN8NXLkSMycORO1a9dGt27dxG7777//4Onpiblz57KUTjJmZmZ4+fIlhg0bBjc3N872bynNhAkT0Lx5czx58gSOjo6ivkKGhobw8/NjOV35paamipbpEW4ICwvDypUrRTP9TExMMGvWLAwfPpzlZISQX41muhBCSBndvn0bRUVFaNasGdtRyoVhGAQEBMDf3x/Pnz8H8HnXhFmzZsHDw4OTn779aFmRQCBAamrqL0xDfgdCoRADBw7E/v37RdsOMwyD+/fvIykpCb1798bevXtFb+654tq1awgKCsKePXtgbGwMd3d3DB06FGpqamxHI19RUVGBvr4+nJ2d0atXL7Ro0YLtSOQHVq9ejfnz52PSpEmiBvaXLl3C+vXr4efnR7M0CfnN0KALIYT8Rr5sT6mqqspyEkK4ac+ePdi1a5eoT4OJiQkGDRqEQYMGsZysYj59+oS9e/ciODgY169fR+/evREUFAR5eXm2o0mkX79+aN68OWbPni12fMWKFbhx4wb27t3LUjLJ5OXl4cyZMzh8+DCOHTsGgUCAHj16wNnZGY6OjlBQUGA7IvmKgYEBfHx8SvRDCg0NxcKFC5GWlsZSMkIIG2jQhRBCeM7BwQEHDhyAhoaG2PEPHz6gd+/eiIyMZCdYJSgoKEBaWhqMjIwgI0MrZqsLvm/DzmcXLlyAt7c3Lly4gDdv3qBGjRpsR5KItrY2IiMjSzRDv3v3Ljp16oSXL1+ylKziGIbBlStXcOTIERw5cgTp6eno1KkTnJ2d0bNnT2hra7Md8benoKCA+Ph4GBsbix1PSkqClZUVJxvYE0Ikx605sIQQQsrt3LlzKCgoKHE8Ly8PFy9eZCFRxeXm5sLd3R1KSkqwsLAQNQOePHlyia2xya+npaWFHj16YPPmzXjx4gXbcchPPHv2DEuWLEHDhg0xaNAgNGvWDPfu3ePsgAsAZGdnQ05OrsRxWVlZfPjwgYVElUcgEKBVq1ZYtmwZEhIScPv2bbRt2xYhISGoX78+1q9fz3bE356xsTHCw8NLHN+zZ0+JnQQJIfxHHwsSQgg+f3L45MkT1KpVizfTtL/eRSUhIUHszW9xcTFOnjyJevXqsRGtwubMmYO4uDicO3cOXbp0ER3v1KkTFi5cCC8vLxbTkQcPHuDw4cMIDw+Hh4cH77Zh54vw8HAEBwfj/PnzcHJygr+/P7p3787JXdq+ZWVlhT179mDBggVix3fv3g1zc3OWUlWNhg0bYsaMGZgxYwYyMzM5udsU3/j4+GDgwIG4cOGCqKdLdHQ0IiIiSh2MIYTwGy0vIoQQfG6SqaCggHv37vHmUygpKSlRk9zSnuoVFRWxbt06uLm5/epoFdagQQPs2bMHLVu2hKqqKuLi4mBoaIjk5GTY2tpy/pNsPuHjNux8ISUlBT09PQwdOhS1a9f+7nlc3A3s6NGj6Nu3L4YMGQIHBwcAQEREBHbt2oW9e/eid+/e7AYkvBcTE4PVq1fj/v37AD7vFjZjxgzY2NiwnIwQ8qvRoAshhPyPhYUFtm3bhpYtW7IdpVI8fvwYDMPA0NAQ169fF1vnLycnh1q1anH2Da+SkhLi4+NhaGgoNugSFxcHe3t7vH//nu2IpBRfb8N+5MgRzm7Dzhf6+vo/3b2My7uB/ffff1iyZAliY2OhqKgIa2treHt7o127dmxHIzxWWFiIsWPHYv78+T/caY8Q8vugQRdCCPmfo0ePYsWKFdiwYQMsLS3ZjkN+wN7eHn/++ScmT54MVVVV3LlzBwYGBpg8eTKSkpJw8uRJtiOSMuDqNuyEEPIj6urqiI2NpUEXQggAGnQhhBCRGjVqIDc3F0VFRZCTk4OioqLY7VxdJx8aGgotLS10794dAODp6YnNmzfD3Nwcu3btQoMGDVhOWH6XLl1C165dMWzYMISEhGDs2LFISEjA5cuXcf78efzxxx9sRySEEPKbcnV1RZMmTTBt2jS2oxBCqgEadCGEkP8JDQ394e2urq6/KEnlMjU1xYYNG+Dg4IArV66gY8eOCAgIwLFjxyAjI4MDBw6wHVEiKSkpWLZsGeLi4pCdnQ1bW1vMnj2bGrUS8puqWbMmEhMToaWlhRo1avxw6RRXB9FdXV3h7u4Oe3t7tqOQH/Dz84O/vz86duyIP/74A8rKymK3c7FPEiFEcjToQgghPKekpIQHDx5AT08Ps2fPRkZGBsLCwnDv3j20b98er1+/ZjsiIYRUWGhoKAYNGgR5eXneDqL37t0bx48fR4MGDTBy5Ei4urpydhc6PvvRsiIu90kihEiGtowmhJBS5OXloaCgQOyYmpoaS2kqRkVFBZmZmdDT08Pp06cxffp0AICCggI+ffrEcjrJCYVCJCcn49WrVxAKhWK30afAhPx+vgykFBUVQSAQwMnJ6Ye7MnHRoUOH8Pr1a2zfvh2hoaHw9vZGp06d4O7ujl69ekFWVpbtiARAWloa2xEIIdUIzXQhhJD/ycnJwezZsxEeHo7MzMwStxcXF7OQquKGDh2KBw8ewMbGBrt27UJ6ejo0NTVx5MgRzJ07F/Hx8WxHLLerV69iyJAhoh2aviYQCDj7WPHNp0+fwDAMlJSUAHzeUevgwYMwNzdH586dWU5H+ExJSQn379/nZM+q8oiJiUFwcDC2bt0KFRUVDBs2DBMmTEDDhg3Zjvbbunr1Ko4ePYqCggJ07NgRXbp0YTsSIYRlUmwHIISQ6sLT0xORkZHYsGED5OXlsXXrVvj4+KBu3boICwtjO57E1q9fDzs7O7x+/Rr79++HpqYmAODWrVsYPHgwy+kkM27cODRt2hTx8fF4+/Yt3r17J7pwtVcDH/Xq1Uv0u5OVlYUWLVrA398fvXr1woYNG1hOR74mFAqRmJiIS5cu4cKFC2IXLmrevDlu377NdowqlZGRgTNnzuDMmTOQlpZGt27dcPfuXZibm2PNmjVsx/st7du3D61bt8bff/+NrVu3onv37li1ahXbsQghLKOZLoQQ8j96enoICwtD+/btoaamhpiYGBgbG2P79u3YtWsXjh8/znZE8j/KysqIi4uDsbEx21HID2hpaeH8+fOwsLDA1q1bsW7dOty+/X/t3Xtczvf/P/DH1Tk6I6dUrHMq0deZnDZpVIs5Dx2czfm0jZymsc+MoZuYw2ILiRHbyDGGnKKy0EGUqckhKdHp+v2hrp9rxYh6dV097rfbbreu9+utHtlq1/W8Xs/n6zJ2796NgIAAXLt2TXREgnLuHAsLC8MXX3yBadOmVTjI1NHRUVCyd1NYWIiIiAhs2bIFkZGRcHR0hL+/P4YOHSprgf3111/h6+uLR48eCU5b+7Rp0wb/93//h6CgIKiqquKbb77B//73P74ZQFTLsehCRFRKR0cHCQkJMDU1hYmJCfbs2YO2bdsiNTUVDg4OyM3NFR3xjcXFxaFly5ZQUVFBXFzca+9VxBcfPXr0wOzZs7ltu4Z7eYjzwIEDYW9vjwULFiA9PR3W1tZ4+vSp6IgEoFWrVrCyssKiRYvQuHHjcqf+6OvrC0pWeSoq5TdzSyQSSKVShS0kAS8KmSUlJRgyZAhGjx6NVq1albsnOzsbzs7OnCsigI6ODq5cuSJ7Q6CgoAB169bF33//DWNjY8HpiEgUDtIlIirVokULpKamwtTUFDY2NggLC0Pbtm2xf/9+GBgYiI73Vlq1aoXMzEwYGxujVatWshcbZRT9xcfnn3+OGTNmIDMzEw4ODuWGRypiIUkZWVhYYO/evfjkk09w6NAhTJs2DQBw7949hR1MrYySkpIQHh6uVDvHlLXgsHLlSnz66afQ0tJ65T0GBgZK+/3XdE+fPpX73aahoQEtLS3k5uay6EJUi7HoQkRUysfHB7GxsXB1dcXcuXPRr18/rF27FoWFhfj+++9Fx3srqampaNCggexjZdO/f38AgK+vr+yaoheSlFFAQACGDh2KadOmoWfPnujQoQMAIDIyEs7OzoLTUZl27dohOTlZqYout2/fRseOHaGmJv9Ut6ioCGfOnFHIAbuFhYXw8fGBs7MzWrZsKToOvULZUOMyRUVF+Omnn1C/fn3ZtcmTJ4uIRkSCsL2IiOgVbt++jUuXLsHCwoI7J2qY27dvv3ZdEV9QKavMzExkZGTAyclJ1vJx/vx56OnpwcbGRnA6Al7MAJk3bx5mzZqlNDvHVFVVkZGRUW53wYMHD2BsbKywhdkWLVrg119/hZOTk+goVAFzc/Ny7Xn/JpFIcPPmzWpKREQ1AYsuRERKKiIi4o3u8/DwqOIkVFs9fvwYxcXFMDIykrv+8OFDqKmpscWohlDG+ScqKir4559/ZDv+yiQmJsLFxQU5OTmCkr2bTZs2Yc+ePdi2bVu5nysiIqqZWHQholpt9erVb3yvom0H/vcLqX/PdSm7pogvqABg27ZtCA4ORmpqKs6ePQszMzOsWrUKzZs3h6enp+h4BKBPnz7o168fJkyYIHc9ODgYERERPBGshlCmnWPe3t4AgH379sHNzQ2ampqyteLiYsTFxcHa2hoHDx4UFfGdODs7Izk5GYWFhTAzMyt3KlNMTIygZERE9Cqc6UJEtdrKlSvf6D6JRKJwRZeSkhK5x7q6uoiNjUWLFi0EJXp/1q1bh4CAAEydOhVLly6VFY4MDAywatUqFl1qiHPnzlU4D6lbt2746quvBCSiiihSUeW/lJ20JJVKoaurC21tbdmahoYG2rdvj9GjR4uK9848PT3/s32FiIhqFhZdiKhWU8Yhs7XBmjVr8OOPP8LLywvLli2TXXdxccHMmTMFJqOXPX/+HEVFReWuFxYWIj8/X0AiKhMREYE+ffpAXV39P1sRFakFccuWLQBezNaYOXNmuZ0gim7hwoWiIxAR0VtiexERUS2hTDtdtLW1cf36dZiZmcl9X0lJSXB0dOQL+hqie/fuaNmyJdasWSN3feLEiYiLi8OpU6cEJSMVFRXZsfIVzXQpo8gtiMqoRYsWuHDhAurVqyd3PTs7G61bt+aAViKiGog7XYiISr18/HBFNm/eXE1J6L80b94cV65cKdcWcfDgQdja2gpKRf/29ddfo1evXoiNjUXPnj0BAEePHsWFCxcQGRkpOF3t9nL74b9bEZVFeHg4wsLCkJaWhoKCArk1RZ19cuvWrQqLYM+fP8edO3cEJKKXHTt2DK6urlBVVRUdhYhqEBZdiIhKPXr0SO5xYWEhrl69iuzsbPTo0UNQqvdHIpEozSyA6dOnY+LEiXj27BmkUinOnz+P7du345tvvsHGjRtFx6NSnTp1wtmzZ/G///0PYWFh0NbWhqOjIzZt2gRLS0vR8UiJrV69Gl999RVGjRqFffv2wcfHBykpKbhw4QImTpwoOt5be7kF7NChQ7LZNcCLAcFHjx5F8+bNRUSjl/j7+yM7Oxtubm7w9PREnz59eEobEbG9iIjodUpKSjB+/Hh88MEHmD17tug4b8XQ0FCuyJKdnQ09Pb1yrQQPHz6s7mjvxS+//IKFCxciJSUFANCkSRMsWrQIfn5+gpMRKZ68vDxERUVVuCtE0YaIA4CNjQ0WLFiAIUOGyLUgBgQE4OHDh1i7dq3oiG+l7Pd2RafQqaurw9zcHCtWrEDfvn1FxKOXxMXFISIiAhEREYiPj0fnzp3h4eEBT09PmJqaio5HRAKw6EJE9B9u3LiBbt26ISMjQ3SUtxISEvJG940cObKKk1Stp0+fIjc3F8bGxqKjEICcnBzZO7s5OTmvvZfvANcMly9fhru7O54+fYq8vDwYGRnh/v37qFOnDoyNjRVyTkidOnVw7do1mJmZwdjYGIcPH4aTkxOSkpLQvn17PHjwQHTESmnevDkuXLiA+vXri45Cb+Du3buyAszx48dhbW0NDw8PeHh4wMXFRXQ8IqombC8iIvoPKSkpFZ7AUtMpejHlTdWpUwd16tQRHYNKGRoaIiMjA8bGxjAwMKiwpU0qlXJAaw0ybdo09OvXD8HBwdDX10d0dDTU1dUxfPhwTJkyRXS8SmnUqBEePnwIMzMzmJqaIjo6Gk5OTkhNTS23U0SR8MQ9xdKkSROMGzcO48aNQ15eHg4ePIh9+/bBzc0N06dPx5dffik6IhFVAxZdiIhKTZ8+Xe6xVCpFRkYGfvvtt1pTwKjpUlJSsHTpUtlQY1NTU+Tm5srWVVVV8eeff8La2lpUxFrv2LFjMDIyAgAcP35ccBp6E1euXMH69euhoqICVVVVPH/+HC1atMC3336LkSNHwtvbW3TEt9ajRw9ERETA2dkZPj4+mDZtGsLDw3Hx4kWF/H5epmytYLVF3bp10b9/f/Tv3x/FxcUK29pLRG+PRRciolKXL1+We6yiooIGDRpgxYoV/3myEVWPNWvWoGHDhrLHjx49QkBAgKy1aOfOnVi5ciWCg4NFRaz1XF1dAQBFRUWIioqCr68vTExMBKei11FXV5fNDDE2NkZaWhpsbW2hr6+P9PR0wekqZ8OGDbJTmSZOnIh69erhzJkz8PDwwNixYwWnq7z/agVj0UUxqKqqokGDBqJjEFE14UwXIiJSGA4ODti0aRPatm0LAHIDMgEgKioK/v7+SEpKEhmTSunq6iI+Ph7m5uaio9BrfPTRRxg1ahSGDh2K0aNHIy4uDpMnT8a2bdvw6NEjnDt3TnREKtWtWzdYWVnJWsFiY2PlWsEUfRcPEZEy4k4XIqJSqampKCoqKneUbVJSkux0CBLr1q1baNKkieyxv7+/3NGp5ubmuHPnjohoVIEePXogKiqKPzs1XGBgIJ48eQIAWLp0KUaMGIHx48fD0tJS1sqnCOLi4tCyZUuoqKggLi7utfc6OjpWU6r3SxlbwYiIlB2LLkREpUaNGgVfX99yRZdz585h48aNOHHihJhg79Hp06fh4uICTU1N0VEqRUVFBXfv3pW1q6xcuVJu/Z9//oG6urqIaFSBPn36YO7cuYiPj0ebNm1Qt25duXUPDw9ByaiMVCqFvr4+tLW1UVRUBGNjYxw8eFB0rEpp1aoVMjMzYWxsjFatWlV4vDIAhR7irIytYEREyo5FFyKiUpcvX0anTp3KXW/fvj0mTZokINH716dPH1y5ckXWjqNo7O3tceTIEVl70b8dOnQILVu2rOZU9CoTJkwAAHz//ffl1hT5ha+ySE1NhYeHBxISEgAAJiYm2L17t8IeZZuamiqbk6Gsp/w4OzvjwoULsLS0hKurKwICAnD//n1s27aNv/tqEFVVVdkpbi978OABjI2N+buPqJZh0YWIqJREIpFtsX/Z48ePleYJkqKP8fLx8cHUqVPh5OSEjz/+WG5t//79WLZsGVatWiUmHJVTNsiUaqZZs2ahqKgIP//8M7S0tPDdd99h7NixuHTpkuholWJmZlbhx8pEWVrBlN2r/l/7/PlzaGhoVHMaIhKNg3SJiEr169cP2tra2L59O1RVVQEAxcXFGDRoEPLy8vDHH38ITvju/j14VhENGTIEO3fuhI2Njexo6Bs3buDGjRvo378/wsLCBCekMlu3bsWgQYPKtbMVFBRgx44dGDFihKBkBACNGjVCeHg4OnfuDADIyMiAiYkJcnJyyrWCKYKIiIg3vpetbVQVVq9eDQCYNm0alixZAh0dHdlacXExTp48iVu3bpU7LZGIlBuLLkREpRISEtC1a1cYGBigS5cuAIBTp04hJycHx44dU4qt26GhofD09FTIF1Qv27FjB3bs2IHExEQAgKWlJYYMGYLBgwcLTkYv4xb7mk1FRQUZGRlyx7Dr6OggPj4ezZs3F5iscspmnZT590wXiUQi+5j/7VFVKPu5uX37NkxMTGRv4ACAhoYGzM3NsXjxYrRr105URCISgEUXIqKX3L17F2vXrkVsbCy0tbXh6OiISZMmwcjISHQ0IoWjoqKCf/75RzZno0xsbCy6d++Ohw8fCkpGwIuiWGJioty/HxMTE/z5559yJ07p6ekJSPdujhw5gjlz5iAwMBAdOnQAAJw9exbz5s1DYGAgPvzwQ8EJ31zr1q1x9OhRGBoawtnZWa549G8xMTHVmIxepXv37vj1119hYGAgOgoR1QCc6UJE9JImTZogMDBQdAwihVb2wlAikaBnz55QU/v/TzeKi4uRmpoKNzc3gQkJeDF3wsrKqtw1Z2dn2ceKOvB46tSpCA4OlrVOAUDv3r1Rp04djBkzBteuXROY7u14enrKWvS8vLzEhqH/VFhYiLS0NGRkZLDoQkQAWHQhIpI5ePAgdHR0ZE/Sg4KC8OOPP8LOzg5BQUEwNDQUnJBIMZS9MLxy5Qp69+4tN9egbIt9//79BaWjMsePHxcdocqkpKRU+IJXX18ft27dqvY872LBggUVfkw1k7q6Op49eyY6BhHVIGwvIiIq5eDggOXLl8Pd3R3x8fFwcXHBjBkzcPz4cdjY2GDLli2iIxIplJCQEAwaNAhaWlqio1At07VrV2hpaWHbtm2ymTX//PMPRowYgWfPniEqKkpwwndTUFCAe/fulTshzNTUVFAiellgYCASExOxceNGuZ1+RFQ7sehCRFRKR0cHV69ehbm5ORYuXIirV68iPDwcMTExcHd3R2ZmpuiIlXLy5El07Nix3BO/oqIinDlzBl27dhWUjGqD7OxshIeHIyUlBbNmzYKRkRFiYmLQsGFDNG3aVHQ8UlLJycn45JNPkJiYiGbNmgEA0tPTYWlpib1798LCwkJwwspJTEyEn58fzpw5I3ddkVvBlNEnn3yCo0ePQkdHBw4ODuWG1+/Zs0dQMiISgaVXIqJSGhoaePr0KYAXQxjLjrM1MjJCTk6OyGjvpHv37hWeIPP48WN0796dT9KpysTFxaFXr16ylo7Ro0fDyMgIe/bsQVpaGrZu3So6IikpCwsLxMXF4fDhw7h+/ToAwNbWFr169XrtINqazsfHB2pqajhw4AAaN26s0N+LMjMwMGALJRHJcKcLEVEpDw8PFBQUoFOnTliyZAlSU1PRtGlTREZGYtKkSbLjiRXNq06QSUxMhIuLi0IXlKhm69mzJ9q0aYNvv/0Wurq6iI2NRYsWLXDmzBkMHTpU4WZrkGJ69uwZNDU1laJAUbduXVy6dAk2NjaioxAR0RviThciolJr167FhAkTEB4ejnXr1slaH/744w+FPGnF29sbACCRSDBq1CjZ6RfAixNk4uLi0LFjR1HxqBa4ePEiNmzYUO5606ZNFbZdjxRDSUkJli5diuDgYPzzzz9ITExEixYtMH/+fJibm8PPz090xEqxs7PD/fv3RccgIqK3wKILEVEpU1NTHDhwoNz1lStXCkjz7vT19QG86PXX1dWFtra2bE1DQwPt27fH6NGjRcWjWkBTU7PCnVSJiYnldl4RvU9ff/01QkJC8O2338r9nmvZsiVWrVqlUEWXl3+Gli9fjtmzZyMwMBAODg5QV1eXu1dPT6+649ErhIeHIywsDGlpaSgoKJBbi4mJEZSKiERg0YWIqALPnj0r9yRJ0Z7Mlp22ZG5ujpkzZ5Yb5EdU1Tw8PLB48WKEhYUBeLHrKi0tDXPmzOG8A6pSW7duxYYNG9CzZ0+MGzdOdt3JyUk240VRGBgYyLVGSaVS9OzZU+4eDtKtWVavXo2vvvoKo0aNwr59++Dj44OUlBRcuHABEydOFB2PiKoZZ7oQEZXKy8vDnDlzEBYWhgcPHpRb55NZorfz+PFjDBgwABcvXsSTJ0/QpEkTZGZmokOHDvj9999ZCKQqo62tjevXr8PMzExunlBCQgLatm2L3Nxc0RHf2Nscb+3q6lqFSehN2djYYMGCBRgyZIjcf38BAQF4+PAh1q5dKzoiEVUj7nQhIio1e/ZsHD9+HOvWrcNnn32GoKAg/P3331i/fj2WLVsmOt5bcXZ2fuOhkdzmTFVFX18fhw8fxunTpxEbG4vc3Fy0bt0avXr1Eh2NlJydnR1OnToFMzMzuevh4eFwdnYWlKpyWEhRPGlpabKZadra2njy5AkA4LPPPkP79u1ZdCGqZVh0ISIqtX//fmzduhXdunWDj48PunTpAgsLC5iZmeGXX37BsGHDREd8Y15eXqIjEGHr1q0YNGgQOnXqhE6dOsmuFxQUYMeOHbJj2Ynet4CAAIwcORJ///03SkpKsGfPHty4cQNbt26tcHaXotiyZQt0dHTw6aefyl3ftWsXnj59ipEjRwpKRi9r1KgRHj58CDMzM5iamiI6OhpOTk5ITU0FmwyIah+2FxERldLR0UFCQgJMTU1hYmKCPXv2oG3btkhNTYWDg4NCbUcnqglUVVWRkZEBY2NjuesPHjyAsbExW/aoSp06dQqLFy+W22UVEBCAjz76SHS0SrOyssL69evRvXt3uetRUVEYM2YMbty4ISgZvczf3x/NmjXDggULEBQUhFmzZqFTp064ePEivL29sWnTJtERiagacacLEVGpFi1aIDU1FaamprCxsUFYWBjatm2L/fv3w8DAQHQ8IoVTNtzz3+7cuSM7XYvofZNKpUhOToaRkRH++OMPqKkpz9PdtLQ0NG/evNx1MzMzpKWlCUhEFdmwYQNKSkoAABMnTkS9evVw5swZeHh4YOzYsYLTEVF1U57/CxERvSMfHx/ExsbC1dUVc+fORb9+/bB27VoUFhbi+++/Fx2v0lRUVF4734W7Deh9K5spJJFI0LNnT7kXvcXFxUhNTYWbm5vAhKSsUlNT4eHhgYSEBACAiYkJdu/eDRcXF8HJ3g9jY2PExcXB3Nxc7npsbCzq1asnJhSVo6KiAhUVFdnjwYMHY/DgwQITEZFILLoQEZWaNm2a7ONevXrh+vXruHTpEiwsLODo6Cgw2bv59ddf5R4XFhbi8uXLCAkJwaJFiwSlImVWNlPoypUr6N27N3R0dGRrGhoaMDc355HRVCVmzZqFoqIi/Pzzz9DS0sJ3332HMWPGKM3A8CFDhmDy5MnQ1dVF165dAbxoLZoyZQpf1Ncw2dnZOH/+PO7duyfb9VKG86yIahfOdCEiKpWeno5mzZqJjlFtQkNDsXPnTuzbt090FFJSISEhGDx4MDQ1NUVHoVqiUaNGCA8PR+fOnQEAGRkZMDExQU5OjlIcUV5QUIDPPvsMu3btku0gKykpwYgRIxAcHAwNDQ3BCQl4MZh/2LBhyM3NhZ6entxuU4lEgocPHwpMR0TVjUUXIqJSqqqq6Ny5M4YPH44BAwbA0NBQdKQqdfPmTTg6OnJAMFWZ9PR0SCQSmJiYAADOnz+P0NBQ2NnZYcyYMYLTkTJSUVFBRkYGGjZsKLumo6OD+Pj4CmehKKrExETExsZCW1sbDg4O5Y7GJrGsrKzg7u6OwMBA1KlTR3QcIhJM5b9vISKqHS5evIi2bdti8eLFaNy4Mby8vBAeHo7nz5+Ljvbe5efnY/Xq1WjatKnoKKTEhg4diuPHjwMAMjMz0atXL5w/fx5fffUVFi9eLDgdKSOJRILc3Fzk5OTI/lFRUcGTJ0/krimqsp8nKysrfPrpp+jbty8LLjXQ33//jcmTJ7PgQkQAuNOFiKgcqVSKEydOIDQ0FLt370ZJSQm8vb2xefNm0dEqxdDQUG5rs1QqxZMnT1CnTh38/PPP8PDwEJiOlJmhoSGio6NhbW2N1atXY+fOnTh9+jQiIyMxbtw43Lx5U3REUjIVDQ5/+RStso8VdYC4pqYmTExM4OPjg1GjRsl2kVHN4u3tjcGDB2PgwIGioxBRDcCiCxHRa8TExMDPzw9xcXEK+yT9p59+knsRoqKiggYNGqBdu3ZK30JFYuno6ODq1aswNzeHh4cHOnXqhDlz5iAtLQ3W1tbIz88XHZGUTFRU1Bvd5+rqWsVJqsb9+/exbds2hISE4K+//kKPHj3g5+cHLy8vznMRLCIiQvZxVlYWFi9eDB8fHzg4OEBdXV3uXr7ZQVS7sOhCRPQvd+7cQWhoKEJDQ3H16lV06NABw4YNw7hx40RHI1Io7dq1Q/fu3fHxxx/jo48+QnR0NJycnBAdHY0BAwbgzp07oiMSKayYmBhs2bIF27dvB/Cinc/Pzw9OTk6Ck9VOLx8R/TqKvNOKiCqHRRciolLr169HaGgoTp8+DRsbGwwbNgxDhw5V+H75gwcPQkdHR3aaR1BQEH788UfY2dkhKCiIu12oypw4cQKffPIJcnJyMHLkSFmL3pdffonr169jz549ghMSKba7d+9iw4YNWLZsGdTU1PDs2TN06NABwcHBsLe3Fx2PiIjAogsRkUyzZs0wZMgQDBs2TKneKXRwcMDy5cvh7u6O+Ph4uLi4YMaMGTh+/DhsbGywZcsW0RFJiRUXFyMnJ0euuHfr1i3UqVMHxsbGApMRKabCwkLs27cPmzdvxuHDh+Hi4gI/Pz8MGTIEWVlZmDdvHmJiYpCQkCA6KhERgUUXIiKZl4ctKpOX52osXLgQV69eRXh4OGJiYuDu7o7MzEzREUnJ3bt3Dzdu3AAAWFtbs9hCVEmff/45tm/fDqlUis8++wz+/v5o2bKl3D2ZmZlo0qQJSkpKBKWsvY4dO4ZJkyYhOjoaenp6cmuPHz9Gx44dsW7dOnTt2lVQQiISQU10ACKimkIikSA7OxubNm3CtWvXAAB2dnbw8/ODvr6+4HSVp6GhgadPnwIAjhw5ghEjRgAAjIyMFProVKr5njx5ggkTJmDHjh2yGQaqqqoYNGgQgoKCFPrnikiEhIQErFmzBt7e3tDU1Kzwnvr168uOlqbqtWrVKowePbpcwQUA9PX1MXbsWKxcuZJFF6JahjtdiIhKXbx4Eb1794a2tjbatm0LALhw4QLy8/MRGRmJ1q1bC05YOR4eHigoKECnTp2wZMkSpKamomnTpoiMjMSkSZOQmJgoOiIpqUGDBuHy5ctYs2YNOnToAAA4e/YspkyZglatWmHHjh2CExIRvT9mZmY4ePAgbG1tK1y/fv06PvroI6SlpVVzMiISiUUXIqJSXbp0gYWFBX788Ueoqb3YCFhUVAR/f3/cvHkTJ0+eFJywctLS0jBhwgSkp6dj8uTJ8PPzAwBMmzYNxcXFWL16teCEpKzq1q2LQ4cOyYY4lzl16hTc3NyQl5cnKBmRYgoJCUH9+vXx8ccfAwBmz56NDRs2wM7ODtu3b1f4we+KTktLC1evXoWFhUWF68nJyXBwcEB+fn41JyMikdheRERU6uLFi3IFFwBQU1PD7Nmz4eLiIjDZuzE1NcWBAwfKXV+5cqWANFSb1KtXr8IWIn19fZ6aRVQJgYGBWLduHYAXu8aCgoKwcuVKHDhwANOmTeOJYII1bdr0tUWXuLg4NG7cuJpTEZFoLLoQEZXS09NDWloabGxs5K6np6dDV1dXUKr3o6SkBMnJybh371654YrsLaeqMm/ePEyfPh3btm1Do0aNALwY8jlr1izMnz9fcDoixZOeni57Qb937170798fY8aMQadOndCtWzex4Qju7u6YP38+3NzcoKWlJbeWn5+PBQsWoG/fvoLSEZEoLLoQEZUaNGgQ/Pz88N1336Fjx44AgNOnT2PWrFkYMmSI4HSVFx0djaFDh+L27dv4d0epRCKRDTgleh+cnZ3lTgFLSkqCqakpTE1NAbxod9PU1ERWVhbGjh0rKiaRQtLR0cGDBw9gamqKyMhITJ8+HcCLtha2rIg3b9487NmzB1ZWVpg0aRKsra0BvJjlEhQUhOLiYnz11VeCUxJRdWPRhYio1HfffQeJRIIRI0agqKgIAKCuro7x48dj2bJlgtNV3rhx4+Di4oLffvsNjRs3Vspjsanm8PLyEh2BSGl9+OGH8Pf3h7OzMxITE+Hu7g4A+Ouvv2Bubi42HKFhw4Y4c+YMxo8fjy+++EL2RodEIkHv3r0RFBSEhg0bCk5JRNWNg3SJiP7l6dOnSElJAQB88MEHqFOnjuBE76Zu3bqIjY19ZY85EREphuzsbMybNw/p6ekYP3483NzcAAALFiyAhoYGd1HUII8ePUJycjKkUiksLS05x4qoFmPRhYhIyfXo0QOzZ8+WPTknqi75+fk4fPiw7Fhya2tr9OrVC9ra2oKTESkeqVSK5ORkFBQUwNraWm7oOxER1Vz8bU1EtZq3tzd++ukn6Onpwdvb+7X3KuqpEJ9//jlmzJiBzMxMODg4QF1dXW7d0dFRUDJSZhEREfD398f9+/flrtevXx+bNm1Cv379BCUjUjypqanw8PBAQkICAMDExAS7d+9W6JP1iIhqCxZdiKhW09fXl804qehoW2XQv39/AICvr6/smkQigVQq5SBdqhJnzpzBgAED4OHhgRkzZsDW1hYAkJCQgBUrVmDAgAGIiopC+/btBSclUgyzZs1CUVERfv75Z2hpaeG7777D2LFjcenSJdHRiIjoP7C9iIhIyd2+ffu162ZmZtWUhGoLd3d3NGvWDOvXr69wfezYsUhPT8fvv/9ezcmIFFOjRo0QHh6Ozp07AwAyMjJgYmKCnJwc1K1bV3A6IiJ6HRZdiIiI6L0yMjJCVFQUHBwcKlyPi4uDq6srHj16VM3JiBSTiooKMjIy5E6+0dHRQXx8PJo3by4wGb0sICAAnp6eaNOmjegoRFSDsL2IiGo1Z2fnNz5COSYmporTVJ2UlBSsWrUK165dAwDY2dlhypQp+OCDDwQnI2WUn58PPT29V67r6+vj2bNn1ZiISLFJJBLk5ubKDaFWUVHBkydPkJOTI7v2up87qnp37txBnz59oKGhgX79+sHDwwM9e/aEhoaG6GhEJJCK6ABERCJ5eXnB09MTnp6e6N27N1JSUqCpqYlu3bqhW7du0NLSQkpKCnr37i06aqUdOnQIdnZ2OH/+PBwdHeHo6Ihz587B3t4ehw8fFh2PlJClpSWOHTv2yvWjR4/C0tKyGhMRKTapVAorKysYGhrK/snNzYWzszMMDQ1hYGDAI4lrgM2bNyMzMxPbt2+Hrq4upk6divr166N///7YunUrHj58KDoiEQnA9iIiolL+/v5o3LgxlixZInd9wYIFSE9Px+bNmwUlezfOzs7o3bs3li1bJnd97ty5iIyMVOgdPFQzrVy5El9//TW2bdsGd3d3ubXffvsNI0eOxJdffonp06cLSkikWKKiot7oPldX1ypOQm/r2rVr2L9/P/bt24dLly6hbdu28PDwwJAhQ9C0aVPR8YioGrDoQkRUSl9fHxcvXiz3DnxSUhJcXFzw+PFjQcnejZaWFuLj48t9X4mJiXB0dGSbB713JSUlGDRoEHbv3g1ra2vY2tpCKpXi2rVrSEpKgpeXF3bt2gUVFW64JaLaIysrCxEREYiIiECXLl0wc+ZM0ZGIqBrw2Q4RUSltbW2cPn263PXTp09DS0tLQKL3o0GDBrhy5Uq561euXIGxsXH1ByKlp6Kigl27dmH79u2wtrbG9evXcePGDdjY2OCXX37B7t27WXAholqnQYMG8PPzw759+1hwIapFOEiXiKjU1KlTMX78eMTExKBt27YAgHPnzmHz5s2YP3++4HSVN3r0aIwZMwY3b95Ex44dAbwoJC1fvpztHVSlBg0ahEGDBomOQURERCQM24uIiF4SFhaGH374QXbKj62tLaZMmYKBAwcKTlZ5UqkUq1atwooVK3D37l0AQJMmTTBr1ixMnjz5jU9vIiIiIiKit8OiCxERgKKiIgQGBsLX1xcmJiai41SZJ0+eAAB0dXUFJyEiIiIiUn5sqCYiAqCmpoZvv/0WRUVFoqO8N/n5+YiIiJAVWoAXxRZdXV3k5OQgIiICz58/F5iQiIhI+Tx//hx5eXmiYxBRDcGiCxFRqZ49e77xsZyKYMOGDfjhhx8q3NWip6eH1atXY+PGjQKSERERKZ+srCz06dMHOjo60NPTQ/v27ZGcnCw6FhEJxvYiIqJSwcHBWLRoEYYNG4Y2bdqgbt26cuseHh6CklVO27ZtMX/+fPTr16/C9QMHDmDx4sU4f/58NScjIiJSPr6+vvjjjz8wefJkaGlpYf369WjcuDGOHz8uOhoRCcSiCxFRqdcdYSuRSFBcXFyNad6doaEhYmNjYWpqWuF6WloanJyc8OjRo2pORkREpHyaNWuGjRs3onfv3gCApKQk2NraIi8vD5qamoLTEZEobC8iIipVUlLyyn8UreACvBgOnJWV9cr1rKwspZphQ0REJNLdu3fh5OQke2xpaQlNTU1kZGQITEVEorHoQkSkpOzt7XHkyJFXrkdGRsLe3r4aExERESk3VVXVco/ZWEBUu6mJDkBEVJPk5eUhKioKaWlpKCgokFubPHmyoFSV4+vri+nTp8Pe3h59+/aVW9u/fz+WLl2K77//XlA6IiIi5SKVSmFlZQWJRCK7lpubC2dnZ7kW5ocPH4qIR0SCcKYLEVGpy5cvw93dHU+fPkVeXh6MjIxw//591KlTB8bGxrh586boiG9t+PDhCA0NhY2NDaytrQEA169fR2JiIgYOHIjt27cLTkhERKQcQkJC3ui+kSNHVnESIqpJWHQhIirVrVs3WFlZITg4GPr6+oiNjYW6ujqGDx+OKVOmwNvbW3TESgkLC0NoaCiSkpJk78INHToUAwcOFB2NiIioVikuLi7XgkREyo1FFyKiUgYGBjh37hysra1hYGCAs2fPwtbWFufOncPIkSNx/fp10RGJiIhIASUmJmLTpk3YunUrB+sS1TIcpEtEVEpdXV3Wc21sbIy0tDQAgL6+PtLT00VGIyIiIgXz9OlTbNmyBV26dIGdnR2ioqIwffp00bGIqJpxkC4RUSlnZ2dcuHABlpaWcHV1RUBAAO7fv49t27ahZcuWouMRERGRAoiOjsbGjRuxa9cumJqa4tq1azh+/Di6dOkiOhoRCcCdLkREpQIDA9G4cWMAwNKlS2FoaIjx48cjKysLGzZsEJyOiIiIarIVK1bA3t4eAwYMgKGhIU6ePIn4+HhIJBLUq1dPdDwiEoQzXYiIiIiIiN6Rmpoa5syZg8WLF8sNy1VXV0dsbCzs7OwEpiMiUbjThYhqvfz8fERERODJkyfl1nJychAREYHnz58LSEZERESKYsmSJdi1axeaN2+OOXPm4OrVq6IjEVENwKILEdV6GzZswA8//ABdXd1ya3p6eli9ejU2btwoIBkREREpii+++AKJiYnYtm0bMjMz0a5dOzg5OUEqleLRo0ei4xGRICy6EFGt98svv2Dq1KmvXJ86dSpCQkKqLxAREREpLFdXV4SEhCAzMxMTJkxAmzZt4Orqio4dO+L7778XHY+IqhlnuhBRrWdoaIjY2FiYmppWuJ6WlgYnJye+S0VERESVEh8fj02bNiE0NBT37t0THYeIqhF3uhBRrVdUVISsrKxXrmdlZaGoqKgaExEREZEiy87OxsWLF3Hx4kVkZ2fDwcEBq1atwt9//y06GhFVMxZdiKjWs7e3x5EjR165HhkZCXt7+2pMRERERIro1q1b+Pjjj1G/fn20a9cO7dq1Q/369dG3b1/cvn0b6urqoiMSUTVTEx2AiEg0X19fTJ8+Hfb29ujbt6/c2v79+7F06VL2YBMREdFrpaeno3379lBXV8eSJUtga2sLAEhISMC6devQvn17XLhwASYmJoKTElF14kwXIiIAw4cPR2hoKGxsbGBtbQ0AuH79OhITEzFw4EBs375dcEIiIiKqyfz8/JCcnIxDhw5BS0tLbi0/Px9ubm6wtLTkiYhEtQyLLkREpcLCwhAaGoqkpCRIpVJYWVlh6NChGDhwoOhoREREVMM1bdoUO3fuROfOnStcP3nyJAYPHoy7d+9WczIiEolFFyIiIiIionekqamJlJSUV7YP3blzBxYWFnj27Fk1JyMikThIl4iIiIiI6B01btwYCQkJr1y/evUqGjVqVI2JiKgmYNGFiIiIiIjoHXl5eWHmzJnIysoqt3bv3j3MmTMHXl5e1R+MiIRiexEREREREdE7evToEdq1a4fMzEwMHz4cNjY2kEqluHbtGkJDQ9GoUSNER0fDyMhIdFQiqkYsuhAREREREb0Hjx49wpdffomdO3ciOzsbAGBgYICBAwciMDCQBReiWohFFyIiIiIiovdIKpXK2owaNGgAiUQiOBERicKiCxERERERURWJiopCXl4eOnToAENDQ9FxiKiaqYkOQEREREREpOiWL1+O3NxcLFmyBMCL3S59+vRBZGQkAMDY2BhHjx6Fvb29yJhEVM14ehEREREREdE72rlzJ1q2bCl7HB4ejpMnT+LUqVO4f/8+XFxcsGjRIoEJiUgEthcRERERERG9I0NDQ5w5cwa2trYAAB8fHxQXF2Pr1q0AgOjoaHz66adIT08XGZOIqhl3uhAREREREb2joqIiaGpqyh6fPXsWHTt2lD1u0qQJ7t+/LyIaEQnEogsREREREdE7+uCDD3Dy5EkAQFpaGhITE9G1a1fZ+p07d1CvXj1R8YhIEA7SJSIiIiIiekcTJ07EpEmTcOrUKURHR6NDhw6ws7OTrR87dgzOzs4CExKRCCy6EBERERERvaPRo0dDVVUV+/fvR9euXbFgwQK59bt378LX11dQOiIShYN0iYiIiIiIiIiqAGe6EBERERERERFVARZdiIiIiIiIiIiqAIsuRERERERERERVgEUXIiIiIiIiIqIqwKILEREREREREVEVYNGFiIiIiIiIiKgKsOhCRERERERERFQFWHQhIiIiIiIiIqoCLLoQEREREREREVUBFl2IiIiIaphRo0bBy8tL9rhbt26YOnVqtec4ceIEJBIJsrOzq/1rExERKQMWXYiIiIje0KhRoyCRSCCRSKChoQELCwssXrwYRUVFVfp19+zZgyVLlrzRvSyUEBER1RxqogMQERERKRI3Nzds2bIFz58/x++//46JEydCXV0dX3zxhdx9BQUF0NDQeC9f08jI6L18HiIiIqpe3OlCRERE9BY0NTXRqFEjmJmZYfz48ejVqxciIiJkLUFLly5FkyZNYG1tDQBIT0/HwIEDYWBgACMjI3h6euLWrVuyz1dcXIzp06fDwMAA9erVw+zZsyGVSuW+5r/bi54/f445c+agWbNm0NTUhIWFBTZt2oRbt26he/fuAABDQ0NIJBKMGjUKAFBSUoJvvvkGzZs3h7a2NpycnBAeHi73dX7//XdYWVlBW1sb3bt3l8tJREREb49FFyIiIqJ3oK2tjYKCAgDA0aNHcePGDRw+fBgHDhxAYWEhevfuDV1dXZw6dQqnT5+Gjo4O3NzcZH9mxYoV+Omnn7B582b8+eefePjwIX799dfXfs0RI0Zg+/btWL16Na5du4b169dDR0cHzZo1w+7duwEAN27cQEZGBn744QcAwDfffIOtW7ciODgYf/31F6ZNm4bhw4cjKioKwIvikLe3N/r164crV67A398fc+fOraq/NiIiolqB7UVERERElSCVSnH06FEcOnQIn3/+ObKyslC3bl1s3LhR1lb0888/o6SkBBs3boREIgEAbNmyBQYGBjhx4gQ++ugjrFq1Cl988QW8vb0BAMHBwTh06NArv25iYiLCwsJw+PBh9OrVCwDQokUL2XpZK5KxsTEMDAwAvNgZExgYiCNHjqBDhw6yP/Pnn39i/fr1cHV1xbp16/DBBx9gxYoVAABra2vEx8dj+fLl7/FvjYiIqHZh0YWIiIjoLRw4cAA6OjooLCxESUkJhg4dioULF2LixIlwcHCQm+MSGxuL5ORk6Orqyn2OZ8+eISUlBY8fP0ZGRgbatWsnW1NTU4OLi0u5FqMyV65cgaqqKlxdXd84c3JyMp4+fYoPP/xQ7npBQQGcnZ0BANeuXZPLAUBWoCEiIqLKYdGFiIiI6C10794d69atg4aGBpo0aQI1tf//dKpu3bpy9+bm5qJNmzb45Zdfyn2eBg0aVOrra2trv/Wfyc3NBQD89ttvaNq0qdyapqZmpXIQERHRf2PRhYiIiOgt1K1bFxYWFm90b+vWrbFz504YGxtDT0+vwnsaN26Mc+fOoWvXrgCAoqIiXLp0Ca1bt67wfgcHB5SUlCAqKkrWXvSysp02xcXFsmt2dnbQ1NREWlraK3fI2NraIiIiQu5adHT0f3+TRERE9EocpEtERERURYYNG4b69evD09MTp06dQmpqKk6cOIHJkyfjzp07AIApU6Zg2bJl2Lt3L65fv44JEyYgOzv7lZ/T3NwcI0eOhK+vL/bu3Sv7nGFhYQAAMzMzSCQSHDhwAFlZWcjNzYWuri5mzpyJadOmISQkBCkpKYiJicGaNWsQEhICABg3bhySkpIwa9Ys3LhxA6Ghofjpp5+q+q+IiIhIqbHoQkRERFRF6tSpg5MnT8LU1BTe3t6wtbWFn58fnj17Jtv5MmPGDHz22WcYOXIkOnToAF1dXXzyySev/bzr1q3DgAEDMGHCBNjY2GD06NHIy8sDADRt2hSLFi3C3Llz0bBhQ0yaNAkAsGTJEsyfPx/ffPMNbG1t4ebmht9++w3NmzcHAJiammL37t3Yu3cvnJycEBwcjMDAwCr82yEiIlJ+EumrprQREREREREREVGlcacLEREREREREVEVYNGFiIiIiIiIiKgKsOhCRERERERERFQFWHQhIiIiIiIiIqoCLLoQEREREREREVUBFl2IiIiIiIiIiKoAiy5ERERERERERFWARRciIiIiIiIioirAogsRERERERERURVg0YWIiIiIiIiIqAqw6EJEREREREREVAX+HxK9mermzp3ZAAAAAElFTkSuQmCC",
"text/plain": [
"<Figure size 1200x800 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Visualize the confusion matrix\n",
"conf_matrix = pd.crosstab(y_val, y_pred, rownames=['Actual'], colnames=['Predicted'])\n",
"plt.figure(figsize=(12, 8))\n",
"sns.heatmap(conf_matrix, annot=True, fmt='d', cmap='Blues')\n",
"plt.title('Confusion Matrix')\n",
"plt.show()"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.10"
}
},
"nbformat": 4,
"nbformat_minor": 5
}