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Repository: ternaus/TernausNetV2
Branch: master
Commit: 3f5aeffd4389
Files: 21
Total size: 1.1 MB
Directory structure:
gitextract_f5zw2qvs/
├── .github/
│ └── FUNDING.yml
├── .gitignore
├── Demo.ipynb
├── LICENSE
├── README.rst
├── img/
│ ├── MUL-PanSharpen_AOI_4_Shanghai_img6917.tif
│ └── RGB-PanSharpen_AOI_4_Shanghai_img6917.tif
├── models/
│ ├── __init__.py
│ └── ternausnet2.py
├── modules/
│ ├── __init__.py
│ ├── bn.py
│ ├── functions.py
│ ├── misc.py
│ ├── residual.py
│ ├── src/
│ │ ├── common.h
│ │ ├── inplace_abn.cpp
│ │ ├── inplace_abn.h
│ │ ├── inplace_abn_cpu.cpp
│ │ └── inplace_abn_cuda.cu
│ └── wider_resnet.py
└── setup.cfg
================================================
FILE CONTENTS
================================================
================================================
FILE: .github/FUNDING.yml
================================================
# These are supported funding model platforms
github: # Replace with up to 4 GitHub Sponsors-enabled usernames e.g., [user1, user2]
patreon: ternaus
open_collective: # Replace with a single Open Collective username
ko_fi: # Replace with a single Ko-fi username
tidelift: # Replace with a single Tidelift platform-name/package-name e.g., npm/babel
community_bridge: # Replace with a single Community Bridge project-name e.g., cloud-foundry
liberapay: # Replace with a single Liberapay username
issuehunt: # Replace with a single IssueHunt username
otechie: # Replace with a single Otechie username
custom: # Replace with up to 4 custom sponsorship URLs e.g., ['link1', 'link2']
================================================
FILE: .gitignore
================================================
# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
*$py.class
# C extensions
*.so
# Distribution / packaging
.Python
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
wheels/
*.egg-info/
.installed.cfg
*.egg
MANIFEST
# PyInstaller
# Usually these files are written by a python script from a template
# before PyInstaller builds the exe, so as to inject date/other infos into it.
*.manifest
*.spec
# Installer logs
pip-log.txt
pip-delete-this-directory.txt
# Unit test / coverage reports
htmlcov/
.tox/
.coverage
.coverage.*
.cache
nosetests.xml
coverage.xml
*.cover
.hypothesis/
.pytest_cache/
# Translations
*.mo
*.pot
# Django stuff:
*.log
local_settings.py
db.sqlite3
# Flask stuff:
instance/
.webassets-cache
# Scrapy stuff:
.scrapy
# Sphinx documentation
docs/_build/
# PyBuilder
target/
# Jupyter Notebook
.ipynb_checkpoints
# pyenv
.python-version
# celery beat schedule file
celerybeat-schedule
# SageMath parsed files
*.sage.py
# Environments
.env
.venv
env/
venv/
ENV/
env.bak/
venv.bak/
# Spyder project settings
.spyderproject
.spyproject
# Rope project settings
.ropeproject
# mkdocs documentation
/site
# mypy
.mypy_cache/
================================================
FILE: Demo.ipynb
================================================
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"%matplotlib inline\n",
"from pylab import *\n",
"from skimage.morphology import watershed\n",
"import scipy.ndimage as ndimage\n",
"from PIL import Image, ImagePalette\n",
"\n",
"from torch.nn import functional as F\n",
"from torchvision.transforms import ToTensor, Normalize, Compose\n",
"import torch\n",
"\n",
"import tifffile as tiff\n",
"import cv2\n",
"import random\n",
"from pathlib import Path"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"random.seed(42)\n",
"NUCLEI_PALETTE = ImagePalette.random()\n",
"random.seed()"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"rcParams['figure.figsize'] = 15, 15"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/vladimir/anaconda3/lib/python3.6/site-packages/torch/utils/cpp_extension.py:118: UserWarning: \n",
"\n",
" !! WARNING !!\n",
"\n",
"!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!\n",
"Your compiler (c++) may be ABI-incompatible with PyTorch!\n",
"Please use a compiler that is ABI-compatible with GCC 4.9 and above.\n",
"See https://gcc.gnu.org/onlinedocs/libstdc++/manual/abi.html.\n",
"\n",
"See https://gist.github.com/goldsborough/d466f43e8ffc948ff92de7486c5216d6\n",
"for instructions on how to install GCC 4.9 or higher.\n",
"!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!\n",
"\n",
" !! WARNING !!\n",
"\n",
" warnings.warn(ABI_INCOMPATIBILITY_WARNING.format(compiler))\n"
]
}
],
"source": [
"from models.ternausnet2 import TernausNetV2"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"def get_model(model_path):\n",
" model = TernausNetV2(num_classes=2)\n",
" state = torch.load('weights/deepglobe_buildings.pt')\n",
" state = {key.replace('module.', '').replace('bn.', ''): value for key, value in state['model'].items()}\n",
"\n",
" model.load_state_dict(state)\n",
" model.eval()\n",
"\n",
" if torch.cuda.is_available():\n",
" model.cuda()\n",
" return model"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"def pad(img, pad_size=32):\n",
" \"\"\"\n",
" Load image from a given path and pad it on the sides, so that eash side is divisible by 32 (network requirement)\n",
" if pad = True:\n",
" returns image as numpy.array, tuple with padding in pixels as(x_min_pad, y_min_pad, x_max_pad, y_max_pad)\n",
" else:\n",
" returns image as numpy.array\n",
" \"\"\"\n",
"\n",
" if pad_size == 0:\n",
" return img\n",
"\n",
" height, width = img.shape[:2]\n",
"\n",
" if height % pad_size == 0:\n",
" y_min_pad = 0\n",
" y_max_pad = 0\n",
" else:\n",
" y_pad = pad_size - height % pad_size\n",
" y_min_pad = int(y_pad / 2)\n",
" y_max_pad = y_pad - y_min_pad\n",
"\n",
" if width % pad_size == 0:\n",
" x_min_pad = 0\n",
" x_max_pad = 0\n",
" else:\n",
" x_pad = pad_size - width % pad_size\n",
" x_min_pad = int(x_pad / 2)\n",
" x_max_pad = x_pad - x_min_pad\n",
"\n",
" img = cv2.copyMakeBorder(img, y_min_pad, y_max_pad, x_min_pad, x_max_pad, cv2.BORDER_REFLECT_101)\n",
"\n",
" return img, (x_min_pad, y_min_pad, x_max_pad, y_max_pad)"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
"def unpad(img, pads):\n",
" \"\"\"\n",
" img: numpy array of the shape (height, width)\n",
" pads: (x_min_pad, y_min_pad, x_max_pad, y_max_pad)\n",
" @return padded image\n",
" \"\"\"\n",
" (x_min_pad, y_min_pad, x_max_pad, y_max_pad) = pads\n",
" height, width = img.shape[:2]\n",
"\n",
" return img[y_min_pad:height - y_max_pad, x_min_pad:width - x_max_pad]"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [],
"source": [
"def minmax(img):\n",
" out = np.zeros_like(img).astype(np.float32)\n",
" if img.sum() == 0:\n",
" return bands\n",
"\n",
" for i in range(img.shape[2]):\n",
" c = img[:, :, i].min()\n",
" d = img[:, :, i].max()\n",
"\n",
" t = (img[:, :, i] - c) / (d - c)\n",
" out[:, :, i] = t\n",
" return out.astype(np.float32)"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [],
"source": [
"def load_image(file_name_rgb, file_name_tif): \n",
" rgb = tiff.imread(str(file_name_rgb)) \n",
" rgb = minmax(rgb) \n",
" tf = tiff.imread(str(file_name_tif)).astype(np.float32) / (2**11 - 1)\n",
" \n",
" return np.concatenate([rgb, tf], axis=2) * (2**8 - 1)"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [],
"source": [
"def label_watershed(before, after, component_size=20):\n",
" markers = ndimage.label(after)[0]\n",
"\n",
" labels = watershed(-before, markers, mask=before, connectivity=8)\n",
" unique, counts = np.unique(labels, return_counts=True)\n",
"\n",
" for (k, v) in dict(zip(unique, counts)).items():\n",
" if v < component_size:\n",
" labels[labels == k] = 0\n",
" return labels"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [],
"source": [
"model = get_model('weights/deepglobe_buildings.pt')"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [],
"source": [
"img_transform = Compose([\n",
" ToTensor(),\n",
" Normalize(mean=[0.485, 0.456, 0.406, 0, 0, 0, 0, 0, 0, 0, 0], \n",
" std=[0.229, 0.224, 0.225, 1, 1, 1, 1, 1, 1, 1, 1])\n",
"])"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [],
"source": [
"file_name_rgb = Path('img') / 'RGB-PanSharpen_AOI_4_Shanghai_img6917.tif'\n",
"file_name_tif = Path('img') / 'MUL-PanSharpen_AOI_4_Shanghai_img6917.tif'"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [],
"source": [
"img = load_image(file_name_rgb, file_name_tif)"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.image.AxesImage at 0x7f54a61444e0>"
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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Y7/e4vePzZZ4m9F0UhIrsMVqP4W9q/+TGFhEl59z/COB/AxAA/C9E9He/5TdVKRWDqeSy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Nqkcw5d3+Grl9+g7QmS+f777+Gzr14QR7cx+JrzHqmYeM/AMEDvPZZkv9m0DabFoO+lAJ9/+RWq\nMJQTmYACEw2hW1tWhQBV085rnzFSbbW5U/OoAKwKovJaThkZUI61/FvKGTG4B/uyFEbsPjRNxMXF\nHk9U3W+HXArOp7OaOk/TxHF35R/pOwhXUn73nWdP0W963N7e4ZLpEdvtBm3T4HC4x9UVCU545/D6\n5kYTodJ1pIhYwe++/fZb3N7cIMSgomokNkRCFy9evAQAvHn7FldXl7jYb1dcX3q2t+grgQoxoa/X\nHModMhUdadCB7FBUeITguSEG4jfLb0wTm8Eves4xkPKzGIOjupff5/hBJFu0+FdkVXAHIViHSSrA\nNdHNO0pCZMGZl1kNkiWgBwtL1AfdBKrkq/wviBOmXA9+X4hUxdGEhsUWaufr0+mMaRhXC6LnjbAJ\nQZ3fU0pIxUjzJReAydRi/hsqAmpbEW6l3vYw8WubxgwhZyKzxhhX4yQSvpmrESVlnIYzyPSNJmuM\nUcnw1o0YIYaSEjTlnFAytBIMMN/O0eIuwfswDGx8zAtaFJK4VUg1E3ZWKZ6r1a0WoPCejI/NsDIQ\nx2RV3aEkoHZRrwMlNafj3XC32ynm2XuPtmk5OBYunm10EtCKmtc4DnqvEweu91QAUyWqpmm0iind\nrvrhlEQEgCZzgaXnd9utbvLDMGC33TBx1ipltfolQIvVfr9HZvUygJ6twGOlnb9p0qRZAs6a7/Rw\nzOrznCYyv5bAsu/71SIt4ysdJVXKDEF5PBJYNyFgmtdctJILiiN1Ktn4atn3WZMBkSQ3QZs0JTIn\n5OSXzndECBH73U6Nyfu+00q4JMwFYDPcdYKwVAGIvA+wYFs4gvXzIJshjQW9f54XnM4DmsZMbWXe\nzJW6nWwWBxx0TEUwQUzHAQ6AnN0TgObmNJIoi2zCAxu6P1SVzLlUCk1OkwNZDzN3g9rY2DrUQxXG\n5PqlKCbmxHxySIVEAkytLANeLC40O9b5UAuwiPhBWHF2uBOUpGAS9bqMZ2bBU80pypmq9gBWMtN1\nUUW6H07X4aAdbeVeFOIZivACAArYqtcBruRKJ6/YtUriI98nHdycjMcVPJkBH+4Pylkt3BFo207h\nANO8aIBUZ+q1HLR0HHJKiGI46hw/b0bClzlWc+KkAuqqSrwElNGbWfecaM9p21bnhIghyJgBUM4r\n8XPXIiGirEb338O5dRE1Caeq6jrO8wznYOiCQnP9dDrr/e3bVlEtsh4u84yF1Up9VZ2Wa695XPTZ\nrF2RwIUtV+1Xem9LjZyBFbNENAUF4zhiGiddT0vxABb4xmknQzq2qyCO83ML3On761GSgrT8rpyI\ndFS+fvUKAHB9eYn333kH9/f3EIqV4+7dyvaCkxsP41M7vj/Ru5UqsPGLOIbjM0NVHCb0i8cwmYJi\n27aYmcMnl+u4S2xFFba6fRD3ODgcTkccTxTTfBDfx9XVJW7u7zFWe6IPHi55S2bTgu1+h6ZpdA6H\nJiKlaVW4BIC7+3s0Tav7hlgUpLk2/60Kwc6eQx+YV6UPgJy4cRG1UyhzjudV2za42OwBAJtNr+uK\nql2iKMdYCrzTNOM8nEkngKfm9eUltpsNliXhPFDBbBhHTNOEYRy0KE32HlSQkoIpFfcdhsHsJnb7\nHRVtL/Y6/9u2Qds0GMdRn9eWi8USvwBQMSspbh4PB9zf3WGz2ejnAkut73ZbFRa7ub3BNI409p7u\n69XlHtfX1xiHQZ8bFLq3sRJRk06zcB0B6QoG6zTyuc3TxAJptE6czme8/967uLu7x4Hj5qaJ6JqW\n3v+gi/19jh9EsgXYduEKK+zBIH4ibkHtZXqfeJQ4QOXDYwhwkarwVvUMOri2oXuteNbyykJ8rB/r\nGMKq0uKcwziOCM4pbKRrIvwDct48z3QDuZtFF0LX0bM7tvdOO2wGHzSvC6n6BB9Y+pUIpvI+x35J\nmjDyd0QfNHiXALruAIzTiPNpoOCFJ2bbtgiRKjJGYE/o+x4xRtxzh0YSuTqQTpzpL8uiDz8tTBao\nyoYVQ1yNpZDNpc2NkhFjw+p7lngLvKKGJbQNJdrjaF5hkaWvTfVKOg5OAwAJboP3OsbTOOFwfyCy\nJI8TSZcXbR3TLeSFDhXkk6EV2tIOHnNKmJcHcr0MrYqcqDRNQ/48pf6uhBA8ur7DhmVSh3GoxseC\nlpQT+21IEkmLb9u22u0TtToSKKGvIGgAQ6n4vozThO1mg5QzzmdKLDebjXZZZU6Qr5dbBSVN0+i4\nyG9651eMUPXUKgarNSVBg1sdTyeIhHPSDX0xURY+bm5vEQNV7QSCKrAsSkSkQsdzNFfS9yCfLQen\nZPVxGjEOIxVgqkSp7k4ItCeXgok70QJxRKk6JKzqVsOogIJ5mTHNE27YB6SuiC+VuIJzDsNokD6B\n4MBBg7fA9905j92WYJnzPGMYRrx+81afu76njm3TNKtqdMl5lRw479F3He7u6Nxub++wTDOC85oc\n1vYRsoF5Rx1uBw+vMbkj8Y1SuIIoo84XqPuTVewVdZCzeufVm7UkdVK4ItEgK37pDdPEn9eJSPP3\nzPOXBIXkFCw4kv8txZ5pSUYtYeTnbkV8pwSnqwpS3jukvPajkvd651fBK8EZTTTCefJxadpGRVMO\npxNXWa04EPl+jpx00EHFQ5VbF3XBSjBqUqSCFW4Sr3PiU1gNCYfNUokHF7csiQyB7TKqBBcw+HL9\nd4Frqu9kSqaKqjDCpPvzqtvLQhySEMjeLV3nGMPKHxNg+Lmz4hdA8+v27g5912K/o4B2GM60LmXr\nHNM5AKUEXUsE9vVQ2VHg1/X6pBBXVTIk6O52u9XrD6wSOrH3VX3uf6geuS5oeedXNWR7BqBxU0oZ\n8B67zQaf/v5zAMAvP/kYz58/w+u3bzXOaNqGUEHLUiU1nIBVoiEiFeKdR5KOIu+NdUIknSJCN1jX\nRrpWOtedw5IzK2GaeqrztgannLV4Kj5euZCgR9t26s94c3eHd58/xzDPON7c0Hd1HQoX1qVIdzqd\n8fyd5+j7zn5jmvQ65NzevL3BxeWFxhMA0GviMvxBMpyRjYLBxeHyYM/Se1iqBHmVQ9JacnV1gffe\neRcA8PTZNS73e5pjIvOeMinCpqRJ6tu3b/Hqu+/QtrMW0AsXrPq+w4kRVygZFxd7XF1dKupmYSGs\nGKPGJilRwXLPCZaM+ziO6NpG71dKC8XD/Dv8w2hiBQ3PmQsLtm9QsbbDpu8q4RcSqQjeqxiGeMk6\nWHHsfDqz11XCyAJMS0rkV1oJBAGkqhiDoXrOw4BlnnF7e6uJ9bzMHIdlvGVlxHmZcT6f8cnHP9V9\nIKWE3/zmUzgHfMQ+Y//+P/01vu/xKJDxeDwej8fj8Xg8Ho/H4/F4PB6Px+Px93D8MDpbUgkHwQ2c\ntDOrMlsTIzabjeFdGeaQUlb5z6bZckfDqmzeSQXYOBU5UY3Ee/9AwnFd6ZSKWkoJc0U6DVyJFZO9\nvuvw+vVrDMOgVYCeORc1hrRjfor1XOgqlmzQKiF3E/xDeBcZOS9Ic1GTRCdVp2x+NOanNWrHYlkW\nXF5ckFdWJXPdNg0LBAgvZEKZygo21jQNhmHgjpVULagiFbyZ9JVqyASuMY4jSWdekm/B/f09Qgjq\niwFAO2TiMA5UBE6eF3StTmFfZpQXVZ5aChnjRNfdti2Ox7NeK/jeS+U5cWXIul6G8pnmqZLhJq7P\nNE06nm3boO97go5Kmzp4RFiHrWkiQgyY56UyE2Vjxs3GJGxB1cBSEdNLTtpRE5PAvie/i8PhqMRU\nkkzf4vrJFbbc2Ugps3CMPdZpIbEK573C8qaJqmIkB8/nsiwYp5k4BIyhzjlhGJLCzOSo5aBLMSl5\n43+RMMSyLFqN89W9lg9LdzFWHeaJjVnbCpJaUFAWg3vSGDfaFQgVHtskea3yTn9P+mx678inCkDH\nsukxRhzTaQUHlN+2v1sFXtYcH4J2u6QqKLw2sXUAqEvt4FbeO+K5Jbwv+j76/YvmQs9Bn+u6U8Ld\nKecN0tjEBmEbtNNFb7OulnUPxGelEgPg+7Lh8Zh6gjemtKhEvHTwpAJJ45MhZpr6vBYRxLA1TCr9\nBCMzzqpAujOs2wFYB1vGSQQnai5iWhYspaygPyFQt0A6HhMjAjpGE6SUMGWad+L5Il2SkpLZCMSG\nIEO1jQSbvqaqW9d3HUEaq0K3dJdqngX9wd15Hvd5Wag6DXuNYFNk9Nl1DOnpWpyGAafzYDxZ79Ew\nnE87rzx3rMIue9260yewbYHsF17TBSlC97VoRdmq805FaOT2ePZno33SurP12k1zwjpVCn3z/g87\nm7xf1vDQdtNCNhg1X+Uxkjm9zDN8cMiLdZidI3uOpokK+S8542c//Qjn84C7u1vIG2mvxur5ov+0\nsRMbhbUXYSV2Ii/yva+7eA7SGTLOmvBB05LWe3jVDa/H0ASenP6b3Ah5NpalMiGOEREFxVF3FKBO\nUdd3mJcFntewJRfM84Q2mM8aMtnZOO/Ni5Q3ySktBg/krqTzXiGumWHUxTl9zXnib4UY7dlcyJtr\nnBf1T7u4uMDd8aBy8CLmoM8P7Bnp+w5nhve/+u41PvjgA+x3O9xwx8azZUm9npNNAsWIMp7iJTVO\nEwrD3ASiG4KJzuREoiHSuaLXaN5471UgpBY90jg0UOeE+MkmYf8Hgg7e42K/x7vvPufPeXQ9QRmV\nT8tx2XevX+PtW+ribbYb/Mkf/2IVD97e3WG73eLq6hJffvUCAPDdd2/g5gn73Q4nnhMhRuw78qFU\nc+lEHoixEpxRPl/VjXOBbDbIdolfYzSZ8l8jwaWnCkLaxKh7/fp5ckrBAIC+bzEOI1uTCHeSOlME\nGXb6udubWzjnFTI5jRQLjtOk+4rEA5tNj6dsYHx1dYUQAn7xyccrSOx2u8GrV9/izZs3Ou65ZOx3\nO4U5/jcJIzSVNQpWBYYj/xZjpAmnPA66gcMw6qbZ9z3AQblN9oy0EOTNkhxa8MXPQl9VSI/xx0II\nxFlgBI4unsW8NoR34GFQvsT+VkHVtug3czJjSlU2rF7LLmE4n1kxyh7ywMFSPTHFF0WDUm7R52QP\nXEoL4pMn2G42CgU7nwfknNFvehMNgMMwjhDPFb1+H1CCqTF2+1ZJwQJV3PQ9HD9MEoQevMM0L/rQ\n/PEvfo6cM47HY+VtlhUeUhuMLsvMhqeigJd1M5S2sffk2XIeBr2GeZqxpISua/V8E39OsNCAQbFq\nsz+ZN13XqkDIvMw4C3+uEsgYGEbQVTwrOBifjpMR75xCHyCLSim6KC1LwjRPcHCazHrvMY0kRNBz\n0nN1dQVRYDKRCw66nNfF27uM2EQWOrDFRUwWaz5iThljHnXx2W03OJ8HzPOkWO7C0DjhL8j3tW2n\ni8z5fMbxdMQw2Hf1XYftdqucKoBgqiklIrRLwLQsKOyJlB8sWrVYAyXfFJSs1dYYHltzGz15PPW9\nW70mCRAA3B+OWJZ5leRcXV5hs9ng/v6ga4wYuIqgyTIvcCCIp+LnGRYZUQnr+D8UzViWhDktyLko\nuViSfZnfNr6tJiZyHgDgYrRNPmfMrLBY+9Y85JOQeM06URUxDDm8M9VJ2bw2XUfzuUADVZpDxPWR\nZ1igcbR2WiGMCMk218EBUslZg7fAhbFV7Aiod5H5W9Fa5HwwsYKZzFm9c1r0EI7BkpISp7uuRcml\ngnhyga1APZBKmdC1jUJmAbAhsBgbWyKkAVo0CGbwYeVFKDy/GMyfDiAFq1oFUXwDm6ZZXYMLgTii\nApluW1zuqWB2PImZKN877wDxkeL65Mo4mMc2V3PJ8fNkiYX9Id/reOCd85ocg/kz3tPuKeM0T8sa\nDuVMJMBU9rw+K9XbqufEAvqFzZutsBbwRz/9COM44quvvgJAa0zOxuGTYoT3XqGWIQRSzpwjovgC\neo8NFyNubilQDazOWI+JQN4cCkyACXpPNDlE0fXeBAz4X4pxEZ13q4RT7sXCHGDjentVi7Qlkf5D\nBRj4OSywYC9ywl8haPljBPETY943t7d4en2Nd955rsF2mhc0TYuck3pPCXR0zgonQD4AACAASURB\nVHYfCMo1IxeYUAig6oTy2pwyfADAUEyAkjJRthTRDM88oYKipsOp0H/LpYcYOXGzcQPDSR2g8OBw\nPFFRqVYhBvPNXHVveLyaptG4QZJD5735PfK6cn886muzwL5dpYrNxQeKzSw5Nm658XgBrNbY+vmQ\nI4SApm00pmvbBvOyYLi50bWk7zss84IYAz74gFQma+EwSeaHceB7bNx8H5hvVI1JDJ5995KeT991\naLt2xWPaX+yx6Xvc39/r/hEjcbPuzwcc2I9su91i0/cVr0kfGz1kv6kLd2BKifM2fsEHdF2L29vb\nVYw0jiO2m77i3yZNjq+fkFDH5eUlmhhxdXWpBeQYAtEXgtfn2jkqlBN8n+bTzc0t/uZvfoWXX3+N\nOybjy95DgmbGWfy+xw8i2apJuJ5J+yKmAADIhfgUzqqRDWPkvTORi+F8RmReQc2zCMFToCSbVzQl\nuTroEEngVoJxrniGythSsNfTOKphZxMjtn0Pj4qszs7rOWfMFYG9FJOhdbwhi4IaAOUFFGStlLRN\nAzisjGnpe0iCVJK5hgUYauW94+mEr168hHMW0Ldtw+c1a2DZ9z3atllVN6TyHkNQfO88zWjaZpXk\njeNkEuY8+WMIGM6DLujl6TUcHOZKSnoYR+NOVfdDE2VJyjggXU1s3qAoOTEzSVKJXN9TqpRmnU/z\nPENc1Jf6QQ8e5/NZkzzHwXzbNBAVOiLYm/EmfTQjzQmzBJt8PU0T4VBJ2DpTqQOsquW8YfuJuB2Q\ni0kTyxx03msyS+NO3SM1pPeOuX1B8g9ME5nNpmSdPSH83t/f4/bOuHgmomDdqMPhiGWe0TN/rJat\npWsv1HE7WRLdNA0++uhD7Pc7TXpXiZO2xWhxa2LUpLxtW+6mppWUfCm0YcjzL9VIB7fqKMmYxioB\nkyBPzm9hrodzWRPvzXaDPneYptmw3PPMSat0GDomE0frOif69xon7lBzLoQMTbzGtCQd/xgD5pkM\nJY3v4zFP84qjIZVcPOhGyf2qq2sqkZ3WQS3c32Gy6WxOCy9P5peI4ghxGOD5mnIlRwxesKx6T38W\n7Z6tnpElreTbqXmSdaMEeHNtWzhAeRYheHQNKasdeT0RGekmNtaJjxEfffghyTgz9+zNzVuczict\nSDTMORJeoJ5bzvAPxtJxbFwrSnruiNU8hjTPEBEPuYeSMErETMWCgiUnFduRdSLz803vc7qGSzAg\nY73pezUwHllyfMXlKRQiL3nR79duLL8llQzkrAI2fBs40bI5XOTeolLG4w7DShUvrzuUqzc+OCwI\ntXUSWHcCJPnyVcB1PB3/X/bea9mW5EwP+9KUWW7v47uBxjQJDKjBhEgpFNI76RUZIYnSjUL3DA6H\n5DRsm9PHbr/Wqqo0uvhd1sbEDHgxEX2xKwI4wNrLVGVlZf7mM9jutvjVr36JZxxIvX//ATc3N0jL\nWW+WdA9aYRlwoUn2ewfg3fv3JBoSrejmq0OBb+5XoaQxRF0jEpvPt2uYFKIi/7Zcf7vOyz0UTpBY\n1ViRxa34lKUWBG+qrIKugT6vBdFTkKsBraTKbl1UKZm6ZlIw+nx9g/efPuHFixf6fJ1OZwxdh+pM\nvKULAd0QMJ0nFWohviElJ0VvtQOchwuNGql38B2tkZqAeIfqGvsVAD6Q0XfoOhW1+Hh9TbxwtkLJ\nqACLhrUJWHW0B8yCpJlnHM8nbDdb7A/MxZtn3ROkmJH4fnV9p2MSQsA0L6hNjJhyQlnKqojYdb0p\nRcqei7a7Ies1PyMO+lzPfC4xRuOvx0AcYV2rK5thJy3IwFX0IGPhyEUVEq0I2G43OsdySlQY7LpG\nSIOvo1ZFYV0cDri7u8fpdNJ5KL8dY2w4hhkLI11EhGKeqLEhaAkAGDgxdM5pgcvBOq2ACE9Rh1nu\nlwhDBW9zQp6Z25tbbDne+OKL1zgeT9hvt2YtwMXT0+mEga/rZ19+gdevXmIcx1V8mZijKo2Gz1dX\njGxatCtaMj3rp9MJ57PIwSeKeSv0NyoXy4/HoyK0VKDnLzh+EskWgBUZGsCqUtpFIlve397h4oKq\nwnUYqJIFkw2t2aE6adVaNylzIrAi7Ka0qqZ7xzAdNAo6pag0u7Z6Qcol09nU6FytDBkzFbTaLCqy\n7wTnUJ2RfOV9JOxh5zuOoyZfANRfqlYTA6G2PYDGL8RxoD0ts77Wdx1JQdeiMLJlWViC1+vDejqd\nVBJdVEh0kce6cClJg1SGiazvkbN1uyRhFtno3/3+9yTKwCIRgHUvCjuYy32IgRahoBXFav48VV/h\nfbGRK3UemSER2hVrqvDm1+EVHqOSwJzweu81AZVK5/F41Cpjm2QojLKy6lcVWAKNuQRNNEbkndR1\nJi/qfMCwHbQ62n5/Skk7EiVGqnaFoJ0ykfQuta42QxF0UGU27zGdzui6bpXQLsvCcvd0fu8/fFT1\nSQvyLUCXe11YbETGTb5z6HudXyklXF3dIHiDpIpoSSvDXXLGMs8EAeJxenZ5iXI4YJ5nfT5lgRcy\nOn22aCHFqtEe1RdOpCxQCSFg6I0kPAwDu9rPFjRnshuIsYWEOThn6pxRuhhN51DKdgVo7quJoQjE\nU9Q+z3XSAoQIKHjvrXOeK5SI3gZNfF/aLpXYOWiXyTE0s5FXT3pN5lvknAmE0BglvR9a+WXvoMKd\nXTlyyehcXFdnUeGayr5stvQGW0u946DThleLYKbQJomaBTEpUQHo1ctX+IoruZtxg91ui+1mo6I8\nwQdsNiOurq/xH/+OiMsP33+PaZrw7JLhkfPSwMd53LzXZ6KFL3pRT+S3kf9Vx8UXQR1kLcDIbZC/\nn84nbFiael4WPJyOpOYXrWPTLGh6L0QkQwQHpHJeC3STp0CaNv/aBLTeOe0SuCrQTwsOHSdnLfyQ\nv9BgY6CCSeB9x4bJw/I2mUtN9V6Tvsq/V5u5Ket1q25IwaDzflUckeKkdSkcbm/v8PVf/QK/+uUv\n6W8x4nQ6qXCTqKmWYr/pnezDdSUsc3d3h9JYkKQkhYE2cGZIagMjE3RJbpJDCRZX3X9RenRF13US\ndYAmXAB7XFYW92gCTh8CnCs6rkHVLflznHiEEEgNEmC4HAlNKWRS9p9KyrsAwQnfffyIr372pVmk\nOAd4sgRQKKCjRKIbeo1l5pmEpWIIcKLuWTIyiia6ACVI1TlU3yTwjgoBLvgmaeQ0P3jaqAGkkuFg\n31UKF6X7TpOtxIUcEgCxQsCHz1d4+fIFXr54CQD4/bffoh8GlJyQFusw3z8ckYol29M801gvFdNs\nvoiVx1X2Us+vrQoJlbpn0Xudr1JM6ToTudEOTFNYoa8ya4GUU1PsbmIWxx6H6gsmyX/Sudl1HUQ5\nVdbhvu9wOjnM3AWSOZHygtGPGAdZSyi5CI06N1Cx3W7w4sVzncOkkl2x3+10CDyrR+62W73G29tb\n3N7e6XUKGqIUE9+qhek/Dqtkk7xZLY7cbbcI3pOCYmNxIuqel0xTubm5xd3dPboYNTk6HU/44e2P\nq+L7vCw4Hk9IaVEEW2a6Q1oMdTMOg9oBaSEwBgxuJCqA0jn+8mTrSSDj6Xg6no6n4+l4Op6Op+Pp\neDqejqfjX+D4yXS2mnIyQQFgkqNdF9F3keA1AgVaFniuhrbk2pzSioRPGGjHvixWjQzeo2+kjHPJ\nyMmksOV4uL8nXHJTzaBKq51L5mrP0HWAVh2oShyD+a9oNVC+iCvHbYUz54JasnaP6FqTft58yEhe\nGLWaSTCPYxeDVp5zyliWhK7v1DzuCMrwnXMKyxJIElVizHyWMPSLtnDneUZkXolCDiKZBk7ThMN+\nr/esa3hytzd3Kucs0AeS9awMhaN3LmVGrRGDN16QQE8cjJ8h2N5ltmp8ZLNCcVynD1OxIngzYU45\nrX2CYFCWuqrGPpKWBlW3SO7YoCkimSqdnePpiGWeUWNEL0bHjqvgpayggKVSRbSVulVuVgPzkaqL\nQhy9RwxU8ZFq0W67pQ5rzlp5iiFit98hp6zX79mI+OHBTJdrJa5faojpFdxV8vYsorJ8v7fuJwD0\nXa+eXfMy4/PnzzifTnj+nFzfe+nMRRvNnAsuLi7w8HDE90zg/eKLLxCjR8lVx074G13X6RhrRwit\n6XCiqjlX6gCqoE3TjFqPitE3WEjUqlqthsOXTo/AEa2bSVVQ+vsaJtXi0gPDEnIuOD4ICVlsErKO\npfcEfWrvtWMRhtpcF7iL2pLray04naljKadC3U6Hko0rovxENiMG+LluOsJyX1sOmxi8xhCQ6nrd\nJMNh/pwDPBeo5fqpG6StYLpW6Uxqt4G6cCJ0Ih076eqnputyPJ2w2+7wi59/iV//6lcAiPx9d3+P\nH9+9s2opKs7nCbe3t4q9L9xJWhgKIx1Cgr7ZsSxp1ekWuBx1ToXUHZTv1vJzFD4oa9iy0FrXdXg4\nHfXeAOKLaJ5fKbFHG8+PLVdTcy0ozEdKJWtFXZAdm7TF1fU16tLwPhjqLJVy54POwzOTxjP7UCIX\nhcD0fY+u75W7B9AamZaE3ECmnOPOdjVRFofGi0xuuXcoidAlBntfc1PkaJ8vgJ71vu/VxgGgbtT9\n/T1OpzNevXwBgDrgfdc13BGD4YqnFxx3BRmqLb83DD3xP7XrRDL1Dk65QUHh/WuIL/GhTV6/MOfE\nexIsAcx7TCCRel7VuIA0niIvXxWdQ/L4NOZrQQwT53G8J7UmvEBFQOR9sfH7Ys7Njvf+m9s7XN3e\nwseAbmBIdt8RDDBnRdjQdTCFQu4NwweL06mGwlBumhvW2c6Et9TvErhdDME4psyjDl0HL/Fa19Hn\nWjEG5zCnZFy8GNkyJ5vAkw94+/49fvbzL/H6FXW2/uEPf0DPnw/iJ9l3+Pjpk84LgJaqWlnsKNj1\nR0fPvsIXRWCrZKS52Ye4ayfXNTAnKHiDCHYMq1yWWZ8JQXSox2ZiDlPJCt1zbgShd8xKQddtZ/6s\nIihHnWanv3meJky3t7i4PPA1EGKo7zrs2PaE4PILSvG6971+9QqvX79SBAkAPi/yQJTrOi9niqca\nOsfD8UjCShxbHvZ7DP1ArzW8J6LnVJ3X87zg7vaOeGqLcNIbuwXZ59jKYegHhWR+/8Nb3Udfv36l\n9+vd+/c4nc+6XomfWAvx7OIIOODicGH8REdCY7WY8A39jfYxuRctAu2fO34yyZZBwWjS5JINzpUL\n+i4SVEAgbkvCXCovktJy9QxTaRIQ3mxaXk8pBedEBO42uCCIibONxDmFkqF5MPsY0AW/WuiEdyL7\nRhcNgy5O7Ulw4g2mnK63rAIrsYWSQyA1DtBNA3BEMG/x8wI3yW0gRQFDF6M+5DEEVaTrG45GhfFj\nZDxJVSzAO+MtiDiGQokKG8tW46MBtCiKIaoKHlRTciPomV/BNKMP8FjDlwo/zCEGdDXoeWRWXpJ7\nOE+zYuDb5FVMolXJkoMK+phswgGbYYNaDeYT+eGKHGTRmBBhcxgGu2eO/JokwPvuhx9wc3O7SvDF\nS+18OumC0/cd8TiYVwAQ1DRxkKv335ERYoeoCQ1wxDTN+NnXX+DAggvX1zdq2rriAHDyFRqoqnce\np/MZ1zekyBVYQch5UwYjaAKNkOvWC30bqEsSJxCnzWaDZVkwz7Mq+eRSsN1ssN/vdKEKkZKdaZq0\nLZ9++AGvX73CxWGvSXnkZH5Zks6vUiuOxxPO01njegqk6VnSoknDW3j9ihbh/X4H4YlWJv+74NCF\njpMp41SQya5xlmShj1GKFCLk0RRHUoIDcbwERht8wDAOcLBFvvK8cM1nW+ipee81qn3N8xUDmbcL\nR6cyLKeUrGsYQavyyrBdEo7V9zsW6xCvNBYcaAV+Fob3tXC7vu9VaVCT3krvk8Bcj1qV9ySflXRF\nDYwB5eLJsdts0XUR/+2b3+Lv/v6/0hjnxHNsUZ7Bsiws8gPlKPScRAgWf2C+aqt2Vxmy3nfGz1F4\nJJokKmULolruiWdo1CMoMM1Dg3SRCbvdwwpadyL7nMkAUDJbFKISQL59rWiICk94B6cEGhpL9ygQ\nGMcNLhhus9vvsN1u6Xx4Hd5td+j7HpeXF1o8+bv//Pf4h3/4hnzaHgV5xN0xXq3zZN7boqsQeAxb\nA2Oa8HZdgRVt6zrxr+v/0gLP/f39io+Rm+/WPdJ5OMj4VuW6ynWdi3AETRVYeI6k7MlzPSXyI/Te\nxFW6jsbbOyowrC9WOVCROWLGtaQzFBEFq0NwotpA2hwH7qvB5JhI/blCRK4Fy2QqwTkz19lZ4p4S\nqQ233+dYjOi8LLi4vOSxJIXU4px6bzkH5EqFoSIwYwf4GAm2LjAy9uasTsyo6TcyeB0TmFWhuVCc\ng+8kDvEoDki1KAdM/5WYjvdq4hjS30QR0IWATopPruL0cMaSs8LINpsRznl4bwqiKWdcXl7iPM+4\nFr5y12F0QFesgCzcSNcWbnlgHivWioKsjPGrly/w+tUreC4SALRHno4n5NzpPQtcLJW9ahgHVpwF\njlxAOhz2yhE0DnPSIpUUS733OE8T7u8fVusLQEVLgTOSL6WJ2wDAuBmx3+1Qa8Xnqysdu3EY8M1v\nf7eC0bvmc3R/KEZEqQrnJi7yYv2TSp6FOWdVWL65ucXnqyt4b/5cuy2t88GbAqI8BktKmgiG4BGH\nnjjQs9Bc6Lk8HU+65r54scPLly9xPB41Vo8hYLPdYF5mnE/iHeqw3++x221XVAtqAvi16Epd02s0\nBvwLjp9EslVrXXVviEQdFGd6Pp8Vj3nJlT2qMmVsmol0Pk9MfA1woqhWCIdbq1VURZGqHSiSB2YD\nNTXspICcTGGt8yDnJ0mDBLO5wYbKBp1L0kkXQwCKmfppkFPMRbw19FO8d6HFxbs2EQTj04tVj3lT\ncd5rQJvyYkEan55I4edsCa3yJmrVasE4DLz5N1K/XKG2+2WEYVKW4SCgEkZVk6gQkJYF8zxpwrC4\nhfDlVUzwqNpHiYklW7UUnM7TKhEUgQq6NsNFU9fFNs0YAmIYMfSDXYMPiNHMruX+Rx4X3fgawQXj\nXhFfpR8G5d4cj0edJwCw3Wxwf/+A6TzhXGnRJJPiDZuT0vluNhsM47Byae/7nmRUQ9Cq7bIsGIcB\nOeVGXKPquYrSzvk8Ee+qrsnZNKf9KrgsrDopweWyLByrtQajtmjL2FUpA8p85XlDnTNa5LbbDbYX\nF8qDkes6nk64vr5RIu3h4gDvHLabjWKv53nB1dUVpslURs/TpPyGlhCc8rpgAifS3BZIlVr0vERV\nStSSUjIu3sPDkc43JeU8ZOYSLrOoE5qVQxtEyzjIeZjFQFbOludkRAQ75LMUHlfrFHnuWmcTJpAA\nbF30oe+iTc2eMeKEtEIPVRMmVUZkJas2RA/eU6WVr2EYBg1SJcCljbauEjBZD1qRA0mq1iqjFEC1\nnK2ck16jVMUTEnJhu4Em8ZmnCdenk3axEneJ28Cn1sqCOEa6Ph6PpGTLc65UUhds8wI4YOj6lQJu\nyYWLWyaaQIW7/IgTDC1QyLpeQeqtC4skAdzRioH4HVqhpyrrqtvhqZoeglVyS3XasThy8n6eqFjm\ngOb6ORDi+3U8kzH24eIC/9v/+r8AAL7++mt+nkoz9mQ9MTSm1nJfK7V86Xw5iaBCGO85YTWSNqS2\nYMgL1KHl8ZGXhOupipec5LdWHc573N3f4Zvf/k7X+hhIpEpMydvExsqRfF9K0T2t8DrivVudWykF\nKHZvInNucylmKC/3x/sVd7KirIoIvu/gnSc+2qNnuMC4vZDCWMMTzaWYTYL9Kq0LEFEWE3lQM3TY\nfiVdIecdiVD4ApGXiH0HwOH7H9/hb/6ausSpZHz4/Bn7zUY7KqVSEkJIIZ4ncu9cozIIx5u9JbS5\nFHTcnZWLoMJth1Ksiyd7ku+iUq8kmRui2PmQGl8r6FIqxzC1ojh55oB+HPDDu/f44gsyBP71r/8a\nv//jn5CWrMlbXhYcLg7opglv37+nMfEBb754g/N5wo/v+LVIohlAYx/CxfIY40psiuIDh+1mq599\nOB6RcsIDK/TJuHrvmy47dTE3HOeKGmorSvH+w0dSSOa1HqB1c2GxIenoClKp6zq9X8uScHFxwG67\nNZ5gTtzJs07ZZhxxOOyRc8anT1Qcvbm5Je5pKRi4iBq4SN+aBE/ThLQk9ENvz06M2IymFDjNE06n\nM/q+Q1tUkX1Cnn0ZA+XnA/xsZuVV6RgyEkGK2SEG6pKGoNLvV1fAbrfF0HdaMA0hoGe16vvwwGOS\nsd/vqDs3y7mQCqnYxMj7nKOkLmq8+o+vf//Y8ZNJtmTRdE4ELUzXf+gH+ErvE18BWqgC7m5vFVoj\nXSnvHB4mqijEGLHdjASRSuvEopaqKzMpnASd5PR99IDXbMpVkRcVkTLlL7QgVOsJTluwqvqVTYkJ\nMIWi9nbVWpVIp90U8Z7ixR+QYHtdBa4cSJSmaq0y5suivyzfVXJB4gwsdtESi0YZcuYOhXRjcrWA\nUxZXEb0gNbyZz4UUX4TUOM+zJpcTv5YWOw8J6KRDRn8XaNGAkeXGZXMZhwF9Rz4rOk+GngPq1geq\nqpjASglJk2G5BtusV8E2Q0basXOO1G0E6rTb7bAZeq3YdiFq8ijn4R1VsT59vtIiwsXFBbpTj+12\no9UugZ1675DVZ4p+dxiGxt+BfvvDx0+44wV9ZAhSDF4XCFEU6oJ158T/KMagv5tS1uDAPESKSuy2\nEs4t1FIVAJt5bfYM5tuSUsLYDwg+4Mwqnh8+fMQnrhTKvF6WBadTwvF40s+qamOTCAp8qUrghKYb\nwaRdAHDVIUYKGkXJ7tPnz7g4XFCnkbuRV1dXOJ1I5cmgepy0SrFEE3S7VoGUQjAcoOdBglntdmWz\neyiex7LUZjmQDmjVwKBVN3Msr95WVKXAIYeqpLUbGihpSTmZ5xUHLgpLgag1Gslfut+1EUyRTlWb\nQIkASasqJZ3aFnrtQAlHzlmf4dYPSq4/s3qWA7A0RalcyFdJuqcTw2dTYxFRStEqs27C3v/ZuQhK\nQAncvKkShNs2ZYFSrpQmpcvVyuG7tQoeJZ4M5ZT9hWGFpTT30FmyrusEoIGlFYZpXgfnVM1rSYv+\npgpOeMAV+7IuBMCRTPIdyxd/+913+P6Ht7i9vcPdPVXF7+7uVRxHjnEc8erVS0JANEXEwImGQfw4\nYWzmIe0NnGi0SZer8HD6kok2GcQVDqx42XQPasXd3R2ur691vnvvsWvWzXmeYUAF64ilnBBrMLEJ\n7iaQ9DTvaSWz9HXRRCD49jmnf2dOnkMI2j05s2/TMA4rlIwLAkPiOYG1QjL/Dy5uQeeJQAp9Xc8T\nAI2Pk9NrbRN8GW95zTkHx95jciXjOOJ8PuO3f/wjvv7FVwCAzWZLglRdJO8r0DoUokNG1UQNLPlf\nG0+xyre2opL4BWiPWEpRWL+8rziH4qoKyXj+zFIKFh6bzdDhYvtMn6/zNMEHT16k8hh6h4XFrGTG\nlloxjCN+/PABO94jf/3rv8Z3b3/E7cNxJTby9t17hBiUVpFLxZdfvMHt/QN+/PABMuhUXGkLVw59\n31NyZC8ReiYlLVSIGNQ4Dgqle/XqBZ4/e8bQdUvUP378hE+fPvF9GLHbbR6tpQummVX1+DwuLy8Q\n2adK3td1HbbbDQs/SVduoo7rsugzfH1zg/NpWvlYzvOMP/3pW5zOZ/2+58+fIXi/8vcSgavPn6/U\nNuF0PCHEiKHv8Yrhmxf7PSctnODHiG6ktV/W16Hvsdvt8HA86vpVa+X1JpvoEe+3IcZmKaE9ru96\n5GCejXBEi5HCyufzNfa7HdUqdB4S1Nx7p5QXOJrvczJhOVlX6XTbgkmFR+NluIJu/NPHk0DG0/F0\nPB1Px9PxdDwdT8fT8XQ8HU/Hv8Dxk+hstZl88ETgyzkpuTyy0EBeLLsfhwGbceRWopFL1WfGWyUr\nOA8fTK5aoT/eZDeBhosghTGBUZWiVRsxR66loCqJk9zHW/ieyMj7hgOTS+HqJndxUlbPq5azVqQ6\n3RBdc0qK3Qbof3rnFBsOYAUh1IoppLsTtDKksuAN9MkzNp3ECDo9P/LG8cYzKYHhSsYJEIfv4AM+\nhc96/SKxCXC1D9YZAoC0kFhE6HvtJu13FwS58SYHLB1LE0WwrqCMBf2GGAdjVe3OKWFhc2O6D1kN\noGtTbXQM6VG5e0fVSSqW8hgzjjelpH5Jh+0WJRtcreSEoevZkFEqsQGxi+i7TrspHz99QggBX3/9\nVxh6gTkV1GWBCx1itIrPY/5LrQTNu7q+Vt7V82fPcTjsEV1Q3oLAkgQ6IPNEqu/SxXFopMsf/bt+\nDSA/H6viBx9QWx+0jmE0jSgHjUtm7DW/z0G7Pyphy4T5FoIoJHqBz9BH+f43aCCBFLb8odYwWrp9\nHz58wv39Ay4uLjBPhs0fx4G4WE1naHAe2nWqPEbOBDi0Wg0H4X/RxyvfN4NMiW+bQaywWvfkPKjr\nErAsVrWO0bgjACCm56F5/tu5rJVngfdZ483uRwNJlK5Z202Q72qfuVrX36Vehznp/BKId21ghBXQ\n6mzrFSZH6+XkK/Mykj2HUlVVPmGMKAwbUa+TSl2h0Ajz0HpbdB7WUrlDaetQxx5zOVuXTBskFWYY\nWk1YQ2GqhZ4lQRnoNXgH50zSWyBT1a8hMlV/S7iIDANs7qF4xEmHHgD7SS7Ej9E56NH3Uc1lNx15\nkDnv8R/+7/8HAHUKdrud8jHlfongUdudebi/J55sNDjnsiwYx1FhdNM8wTlP/FTp4rLgkWueHYXQ\nWrOPurh1We0J1v2xfXqeZ2zGEd1g6ynqml8cAov4tG0iSHfTOiw5JQx9jwN3PwDqEiaG42rX1jk9\nrxYeLM+d7KEjd7QIwSKwKbKtCN7EOkqpCn2NGnMIV814oY7n+Qpu5RyPlT0PuVTUVHSvFh6ic9ZN\nFAuQCjMS7scR87Lg6voav/vTnwAAX755g2cvnlOXQiwYSsaJOyqtAJdYGWrT4gAAIABJREFUjrTc\nbOJt2XoSg0c3Dqi1YG78/irYA5QvbU4JARWh71H4nKeU8Juvf4Fb5lN98/s/oANxGkMTqxU+D4XG\nM51iSQmfrqnrcvj4CamQIXLPe8But0PKGReXFxi5s/Xd92/x+eoaM/s+AdQRrZVFM+Q6Q8CSFpyv\nzsrPc4Baa6j5726LcTNiO44KIwdIOGusg8ah52lCjEEFHbbbjULr2uegFBISka5+KcRFjDGqkfAw\nDgSNu3/Q16Q7XkrWzrFzHuNmQC11JaUOUEyt6C+Qf+XLF8/1XpzOJ/Kfur3FPBk9IIaA0+mEDx8+\n6rU+u7hoECcGwWs7TEU0C/gQlITw0eQ14aCX9rWO9z8n3d6i8as8/yFEnM8TPdeNCX0uGd512mqS\n32gtc1RszRvVJAtdqOFs/fccP4lkq1aYkABoY6mlqkpLDJGC/RBXCnhdCMgOqiCjAXiFwrhQKchr\nN3lJRgjCZm3DkssKV5oSTRBRoQLsu4hrZRtkz0acphRDCYn68fA5l2zmhDEETNNEvhzNhi6LiE0u\nhjE2QY5wBPLS+ACFyBAc1ziX06LmUE1cwbECljdIRxbfMWfQJ++pLdsqKnaxU2U5eVCm80Q42wD1\nPdmMI/b7rQZtMZAKVNcoQBJkkRW/GiikvC6bEj1EpDSnxGw0nAI+SKwgcyLaJCqF4Jstt6FWUv2r\nbXDpAGTDMotHyQpyVQqOpwdcXl5qspUSPeSinkfJInEAjydrwb988RxvXr9WM73vfniLh4cjjscT\nthvCGW82o2LvW58lUc+ShE6gMAILAcAteYf9ftcQro0s3wo9kGBCWAUSApnQMeVkgJJ6GzugVec0\nzpwWKWplBUCDh+rG3yRMFOSvk/7CojehNzVKxWoXCyTaz0ii5jmoIiihzWHPz9dua9j7ZVlwf3+v\n86Treg1YDCbn0BL8SzEbyJbvkhgv3865WuuKJydQBYHc8EsNVMgSMErmlibBJehWW5RS/Lhr1s5q\n0LiVEbFg4BvoA12nCRUIXFB8VpL3uh7KTZ9ZPCQ2nK1SKqaFIMJ6/Z7EArxz6hW1eub5LAJ7GJZa\nND4WeKgUqmRI1DevtDAygojItQrnqhQLQh2AGnxzvsx3aVTXjqcT+Wf1vXo8EZcmgJb7BpbVBnd6\ndhViek7XSDArHwzOmnPGVAkOk5uk1AHq0wUQHyVx0cxWNuIJyD4jv3o802fzLPc6wxWDreecGV41\nKMTnfJ7Im62ayhiJHi1a0NLrQCWeLw+VJKhpmSE3TODZLdxUv6FZm0ksra5gjyS+BDxexw0yb/DF\nnBNC7HUfIiEB26vEsw7VlAeD82QaXiyJ7LoO8zxREilFxY/JuFLt2sTXoM+8+DTCafG18F5Va8WS\n5ua6KuaGTymfb/cwOYiTze8RaKGDqu8VHgtFrjlPfKwmc62Ovr+FGTtPapDeWVE55wx4MiH+/bff\nASDRlDdvXuN3v/+DQahRMbGHnyR5MQYEjo8U0ljpWZ+mWZew3W6HVAueP3+mPnPOkbefD16LX8Kv\nPE8TfvuHPwAA3v74Dp8ZjgcAoe8w54SaM/qGS59Kwd3trY7RMI7Er+s7XN3Q52/+099hSQm73Q4v\nXpCK5eWzS1xyovXuPSUHy7LgD3/8E8Opq84TuLxSo0sNfFb+PZ3PGIYe281G55MPtA+FaPDV0+mk\nwknHptjYdZ3xruaZi21c5QF5wJVSsNvuVFziu+++x83dHZm/87N0f3wAKtAP/Uqx1jnHYl62RtJ5\nutVegkr3V+LVWgvu7u64WElrzvF4xPX1Dd874VM69QUU+N7tzS12WxuP4EPTJLBYNYaICQZTLgw9\n7WK3Knirr2Ez9qI8qGBr/ieE2JjQU8zYFsI8+7y1iqIO0Pnb+qH1TA9o1//M4lNWMHlUwfwnjp9E\nsgVYh0EKId5BNxYHoGYK+sZGNntJiThJQpJ0RlaVxEIWwhDCoyCPeQGLYZRjpK5YSwiXzWQlfiHJ\nWnOjJUhbVegqVlVWvdqmatHFzvDW/KM5kzqPkWs5eXhUmtYqHx+lFq7ErBXUJGGQCqgERaUJfJaU\nSLCBF0LwtZ9OJ6ScVkqG25GMROUh2W226GJYSZov88JdD1sgc0pY0qLjIWTotFiAq+ftoNwuM391\nK2EO2WxNXIQVGiu0UhxDAAJ3BaQK6sjNvlVVc47J/61JHSfV8E67Uc45vHrxnK9H5Fk9Qmeqk54X\n0dxI2nu+75cXFyZoMU3Y73Yrwz5ZeCtM5U+qwn3f6/0ZhoE7PibLLkkEKpqK50Ty0s7rMyH8odiI\nvNzd3ekzoV08Vslyzq8qOSveUMNxkbhimiauzlkQKeqPzlmHVeal90GThGVJ2qGQLyx8H3zDl5Ln\nKreJcK0qXS9BGZFm11LnY+ww9APmZdbNRYRa4IyIbIqFprwmk8WeYa/n1VbdtRgj84uf5uDXwRZZ\nOBTbSJwDu4GuCvS5FDV3pmuljTtn+yxxZdaFhcgKk2g2K/C6IzuUdL+E6A3wulRJQUzGSIQhXFMI\nqqwmV0rRxMo7q/Y+TlRWHDDpxFdv38d2FsF7DaSEr4eK1dqhwWiz5oryqszXVDJt7CK9n7FaH+Va\n5fO62TLvjIoQTUGuCH/X7quUCeU1Cc5qUxzLpSBzAm5/p45DKVWvRTo6pRQN/Enti54N4YUeDnv0\nw4CPn6+aIqLDkqyYJ/P0dDypemaMQavKcr7ROxCDBs1coi5nzqnhthHfSUxK5ZAO0CqxACV/2hUV\nYQ3nmsefg8pmoKQISHw56GdTzoiS/IPMSVqOmXwvLf2yh7D4BFqOHYmMnM/TygrC874hzyY991XP\nBwDmadGOlSmGkuJf252jIktd7c+10v14zB2ka7bXhOfadlSC84idmcG3AaHxaTwCrw8SqwTek21k\ngIfrG5znCdvdFnfMYZ1TxuWzZ4D3xhd1dB390Gk8JHO48DMFUFH1YuhxOBzMSqAjZcue1RsBmrui\n9KrPq3OY5gnXtzfK2eo3I/709q3xdR2dH5xDkLkZHBA8+s1oysExIlDtTjnBJ+7i7g975XF57/Hp\n8xU+Xf0Ot8xj7PoOLpA4girRSjLvWiSQFKYarizvEbFJmoZ+QBC1ascCWUOPvuuoS90U26hAvPAY\nLVrk0a7uMmOeJ+x2W+IfATgcDjiezlRYPdBraRkUldTxM0KPFq2drX1BYtGj/YE4SzkXMnMuQBgs\n/pknQiu1/KlaCxfdLEZ2jsRa2m5UbfjIYgJOxf1mDjuKMRT5lakgG6M92/NCnLVxGDR+paTVwQen\nwlK1FjX+1jIwc3FJJG/WMe66DiHYc+2ch1MuKL9WxfrB1jTJI1qExaoD/c8cP4lki9ch/T9VNm4h\n4QdPLuOPFvO2Ak8HbSDeeQ22peIoEusAycZn3liDBC+BApKlgT2J6pBvKkbSLnZtMsR/pw2mrXjS\nIlebG6Mkdv6LdE9Kcy2+yaABWjSloiwzaUlJfQpkUS8V6Pjhl4A6SRu2UdDJHDSNw6iym957HA4H\nbDZjI2lPD9i2bBTmNs+TBmZSLfOAJikCB5RulOl+2cNnqmiLbgSy2HqGnpBXmm180tmT5I1giW61\nMFHnQCrN/GOlqvqknUkFChHO2/Q1wKGFR0gl93Q+aUVmHHqCzPm66oA5QBWVgqN5lQQ6A5or0/mM\n77//QStUl4cDUEm+Ve7/ZjOu4EIAkLN1OQaVa96iViAlI7XGGLHf7RGj+c9Iwp9z0XsjSUptzo/u\nSzW4DygwK7nAe6zmv3QfaHgZRoiqEuQ0hz18sIqSPOP0/62w4PjGtkmUBmB8SKBO/2k6OzCZa/mN\nypXoroFNAFjJVZfSKII2vyHdbRsTt4Ip02IbSQ66eU02NaveyTU2pHigSbz0V+23m04UVc4MvlAr\nPfspJVtfKlBQVkUY2ljBzw69TSSJ14GwPENWKWxhxPID0knTglStPP/sugoLyxDU18atIvOmJBtw\ngZyUvCsXEwJYe8iEdZfFCSy0LYZU3cD1szmzVJl1Xgu4a59lQ6cCgsBG5LZoHqpqr9WKck4CxkUD\nF3vmOPlsoD/tvJbvbdde15ybvF+7w7x+rxJaSBICDRr6YcDl5QWub28xnbgbV8PaF5C7JAC0O0GJ\nBckmt7CvwCIq9lGBxplViVSeS2mTaL7WavfXO1jnxRZ9fq/tf2lZ6H3sjQfQ3p85qZZnO4vgShOs\nSQFOpwikYAY42fO9Y2XLiFZEB6D9MzVJybJQd0n23MQiB7UWJPFKYtgqwZRl7nRaCND57Rz2O7KX\nEEGvh+MJQGWIFHjc7bss2TbfMtnDx3HAbrez9cM5zPOMJTcKbZykFU6IAHoeHNtlyL09zxOtxdx5\nAYApzZjSgsPlhULBzuczNuOAsUloxmHAfrcjVBEH9LvtBtvtFs8uLlSG/I/ffocf3r8nYYamSLcs\nCaK/SnOSCuOn86T73YtXL/Hu/QeNS776+c8wDiPmZcb7DyQkMS0LXjx/jr/9zf+gRdBvfvcH7HZb\nXN3cqMjHfhzpHlzf4N1Huq4QIi4OB1RArQ+886jOoc6L7hGi7Fyxhtc7OKSSVgVLWUtkjTmdTths\nBgzD1pRHVaG2WBe7kGebzP0QW283EynrOuoISpy32Wzw/DmJiEi82nUdy7qHZm4SbH1eFrFORewi\nDpuRURB0TsfjiZsNFnNIIW+aJp1j0zTh+HAkYaJG5Mh5h4fjg1rQPH/2DDF2eh6J0WBdb3HJNM2Y\nphnLkhCb7n9iywV5Tj99/kz+eq9e4sDJZmT/q2Ux3y7Pwhht0UO66LlaQdKHwGu8a1BnVhTSWLoU\n+OJXBRK6J+5RgRN/8fEkkPF0PB1Px9PxdDwdT8fT8XQ8HU/H0/EvcPwkOlsOhskXAvk4jlZRaCrh\nrQS1VF5b/yCHirHvrR3M0AXz5aH3taaxgHUlAGi27DyZYa5ENBh367jdCwissCicC4B6EZAkpVR0\n3aptKq7fTVEMYqJcK8zYr+LPvJMyy+MyPgEAEAJl695XE7QAZenTNKs5W9/1XH2IWgU9n8/q1aAG\no46I0947JWcej45gDUyKpNeOKLlgM47o+TcyVw6tYl3YY6fh+JTKlVynEvVSUXZ1LXMNxY5LCZTe\n64CmiyNw0aCVh5Qz8kLwE3mfdA3bSqlV/lvzwIzTRF2toefqXt9T9cR77QyIF4l6D3nqVHgH7ZwC\nJDn63fff45oJvF3f4zxNOJ/OKkM7DiMW5oDJzRGzbOOfAXAOaVkUciL3cLfZEt9NOSsEjUg1Y2G+\nV8oZkfH8TudORHIkw2z9CbMmaNvmpZoVQmCIoYO52YuQBc1P6JgLvO4xGb4lnBNvws6A/ruunpH2\n3Ggo+NyyQOEMey7iGq0PTkrEfyBXe5rDCh1uIBeFK23mqeSUE2TjQR0mkl1uxBUc4OBRxGC1SJfE\nzlekwQMcEqxTVlGRcmkqql47Q60ctVbZc9N58wHOoxlDuTbXwJWaZxAGnaBqLn3XeZqoW+vNdLJk\nrsQ+6goKyd9ele5Na8FQgOpW91+qp7VW41g561S1kC5BB7fQD/JosfsqgiQtEbtzHcToWq+VoVAq\nruCDdjYVMsprifMOyPJZE0yQzm7mTmRtztc3HFyVZW/urcLHApkcp/znnB04gy/Bia+LQ+Yu4+39\nHVLJ2G432qEiLqh71CUReKR5v9XK1WHpTudCnC1vHSZuE3N3h+9qaeaRwkirSvW34iKlEndKxp2M\nth1oOO2zgVELKzhOrWi9nEKgez1Nk97/wOfachNjF+Fqg/QodCHUkaTv6vsOv/jFVyQGwGN5cThg\nXmbtKAMEoZqFK8yn1fU922uYQA7NE1rn5DXnHfvU2b3wfA2tGXZwxOmpDT62VKIx1Ar1YwqRhFZk\nPqScFMol3b9lOuM80T2X7qeICtRqa3oIEbFjOxN+8ePnz7i4OODNF2/w5g2JNaTFhDDk+Y8MqR36\nQa16Lg57bMYNxnGA573/3efP+P7de7z/+FE75X3fQ6wZ5FannIkPHoOeSzmecH88YscQt1/99a/w\ny3/1Nc7nCf/+//wPAIBv377Fmy/e4KtffIU/Mu/st3/8I169fEGzT7oUtcC7gHG7QZepizXPM87z\nTHwqhYLKfuWw7tjz0TybBIkzq4LK3V7nHOZl1u9T0R4+lmVBZq6o3DMPojNoF74aD1H2r3EcyWts\nSfjmt7+nsWTPvhDMboC4WMJxN1/Ivu+x222bZ1hg4XUl6d6zF5VwdgVtUKPBqNOSbA2T2AcZrlIc\nLnEy+YU1KAw4ve9yXfMyE1JiGJoukeeu7aLxy8XhgGVJePfuPZbnzwAAr169RC62ZwBQKC9ZeMia\nU+E4FpbQmdAhVb3LZE48hgdSXP5INEr2/1pXKI6/9PhJJFtoAic1nKx1tSlXzkrs0vgG1SZ4YTjO\nNM/WvvWeXdS9tivFc6uLcbW5eO/hAnlLyTEMZDIrD17PpoC0CXFAz8RJIegCtCCKQa0o18gepZyN\nIgGXBSWiRFhh1yWiFy3PQAKj2EUj+uaMEBh2qStE1na4HOdpQswZ48aU2g6Hg8EqGI9N4h0e281W\nxSBKzrrQt8pwOSWcTyfkFHXcgzc4pwfBSmp93IIlSJ/GgYy5bbHtBs+yVrrMhVrKinCv7f/aBO+O\n7xE//B23/lsekqv0wIYQtDWf2Diw7zts+fqdI04PBWKSlPJlSPLAvI5a1/w4KiR43DABOOWiQZnw\nByIvbgKPANjoTyGTMibExepYwAQASsq4vbtHjFFb+qVWHE8nTOfJig2l4MybtyQZgQ2OS25gtHwR\npQJevKHsxvFtqBZc2QfpljXkYv1brc1rJnKyhjNawiLvrLUoZFF+V94iAV1krk7JWTce5ZI41wRI\nVKgQh3iAAuScM+BsEwqeyNzGWRBYiUH3HKomEc2gQNAyJhpBxrEyVwCgugpXXbMp2fq3EmOQJKBa\nIaiiKgRjxUUFVlAlKjb51XolggH/GASiXUtd8500Rg5C9akNBFFU58yMnblPxT6vXmQVthbVajC8\nFf9GxsHEaypDSxVuqedkcEAJ/AUWSWMRgRpQi9zTQLwJwarBIGnttQovqTaQuZaHpsEWn5trIOmQ\nbUDWN32f7GXyu7QvkWiM+EyJQIizBJSTltN0whdvyLB1u92SEEDjj+U9eXmJGavjwpGDGakCZsip\nyXyQtbC9OTr0zdwmuKQPVqST577lNlW+T20CxnUFSy4gY2PPMb1SeUswUQv5bt/cIyrIwQpcovLb\nFDPIGNmzEa0VTO7v7vHw8IAdJwxffvkGd3d3OJ3OqwIfJUgGo0w54zSdKabQYm7SAk1bzPn2hx9W\n0KzQBN8KjyxZAzodb5iwjnpAVuKcHIVjtSReW5zGFsPQo4tkAKy/yfSBvu/U1Pvh/gEfP81kTsvz\n6+F0xu/+8Cc8f36pdAFwYW+aJnzx5jUA4OWL56jF4ZwWhIUTq4+fcHt3hy+/eKN7zna3Qz8O6IYe\nM5/zxMl8y08tIPGusizKH6uVebh8bnNKOE4zXrx4jjdsVvxfvvkt3n74gOP5jM2O1P72+z1i19OY\naZGCFAwzq+DSS5S4ptmKmeLp5r235xoZeSbIX+tH5fg9alLM/nkhhuYZgxb4BIK9ZThmW+B1PqAB\nE8MXp+tQux6e2f9KYjWJLYJ3qtCYUsL5fIYog9KcIDje6TTpaxK7dQ3/t2QSN4p9xOKMBlKZbiLx\nYGRRGSnYANDxSYv5OC7LwmIo1owAJAk1NdW+77AJo8bbsqflUjDytT979gz7/R6fPn/GDQufTPOC\n58+fYRtH9RRbloTdbrtS7DWfznYPI7jtNM96/43PawU4x4W1GKOuk8uycHNAv25dJPpnjp9IslX1\nRkk1ZZomFcPwMVL1sBrhXI52k4whAN7jfD5rlZ0kYcHBmlQUA4YuYp5m/b4YgnadepE/BalzOW/c\nHiL9k0rM43NozR+d94SFrQ0BlrshdbWjmYqX/H/nA4IX6VzwBvIoh3akwCOiAHIeQsA23C6JhojZ\nK51bxXmesd1t8fIlqfTUClxfX+N0OjWBP020nAuNFQiPPM8Lhr5XkuwwkHR7SknJuZvNiD5GrTJI\nolVLtQ4Ij7dvKsWyobbCF+3f5AGmoLoghrXS0sTyrSpMwYFcK3CiMVDFavP2ziF63ziaV1IZikb+\nLClRUNUEfk5ujgaWxLmaZlOjkuC57zsNSisWDdZEDON8PqNyUB2bav/pfOZzFA6SyaMrgR/A7e0t\naim4vSXy7/HhAaWaWaCOAXcZpYvZd71uOFpBXRK6LirJtP2sbphCHm7CSAcZjqaK7wN3GEoTRAVN\n1NrvFt7B484VAMOKC/kVNtdFAa/rOisEcJfDw+6P5gS16iaUM40lkWztvka9KtogwFV4UyM0uXmt\n9mtHRyNuGiH3iO/GHbIQAnyVANHmZFsZFDlorbzq82FjI/Lo7bhLeF8e3b9Vcij3zWG1yceONlGZ\nI9Stp+duKVzF5Y71as9xTqXKV+qIlZ4TXe24XdVytkrTWZJD1Np8I8zQJkEa5PJmKGIsAFaqVnpd\nPsBF2zdkgxZZb3l/4WRRRR68dSdWiqWP9iSqfrKpdTvmsPkCAEvOcNyR0YCEkw1Z5wAiiYcY8fUv\nfqEqeNM8Yxj6FZfnw4ePkLCFzq1VYJRniTtCORvfx5O6pDw/7ZgCTREFFcE/6oo6QNAKbXfYO7mH\nsnbT/p3aQmZDqteC8uOMVH7HSyeTPr/ZbLCSyPbEJ3718qUmB0tKePv2LY7HozQ74HuPmztaI2X9\nHoeBxIUaHhcFtz1CDJjOFNAJp0T+Lv8+fp5EHAuOBFro+p12qCw5drpY6nrFFXXnTOpcFFalItn1\nkde4gHm2YLPWmT7TzGtaL7eaqG02G/z6179CF6MWn4T3eDyeFE0Tgsc0nXF1e4vbe9pLPn6+wjgO\nOB1POLKg0zxPyLngf/53/xb/hkUoQh9RHBD7DmHmZICLs7VCryN6ErnJOWsi8ezZJfa7HX72sy8A\nAC9fv4KPAUspGDk53h/2OJ3POC+L8q6GcUB1nIjy0cWIJSWa1zy+wzAwd8zWBOEUlebeyN6QS9Fx\nomILUGDzv1a29IFD39G5pLRotbDtlEun+czzqe8i8+yEc18Rec2UOrCIEnkuDgJUQHKeumwLf1eM\nAX3fr9b+xN2l0vJlea6KyAS/qMVik4gnBeS2KBfEMB625A19j74fcLfcNTYXjpJ2WYNL0Y6Sc9ax\nSzmT/Q2vU8PQUwGxRpwKza9cSRjq4nBorBUmRlVVLSJQ92+Ba7rTVGSnIlJrI5RSXm3NZJrs13uK\nxKg5NwJMFPtTQ6SJ/f7C44mz9XQ8HU/H0/F0PB1Px9PxdDwdT8fT8S9w/EQ6W00FEtzBaLGSDdRI\nlUG8wA3ts/OyIHqP/W6nbV7hXKyqwlzJ6Pt+5ZXlnNeqJJ0LyzIXS4Ol4tlCabRa2WS5BrdqO0ok\nCWvfZTANxd466jaUatVofR+syyMlsVKLmgT6JgOXd3VdxMLtURnPJSXq2PS9VlnITK7nLoNVNwXL\nKpWRhyNB0uKFx4ax3PNE5xxDYA8WwryjVFWFA7gT1HT6RJmqrYAK3ASoqiolsJTSjK/I7NfGhLiW\ngqBzpO0OtOcBbeWTwJlBGkopOJ5OWrXeb7cEBa1NxQuwao9UY/m39dxCILhSmVbdVOnayGt0DR5z\nWpRPNU3zCg8OEKzifDqjH3r1LRmGAdttwvv3H1TCVvySrq6uV1KvotzXmnrXylWb3MAynSP+il6J\n0+7LGiZnmG2CWhVur9v9agSe7d9H1WrxwQgh6LOTWLHKvK6gvmOoBrcspepz2nYZrGu0/rG2YyNw\nPt/w7qQitvqcdlhNGYogTtadIyn3NS9Cu1juzyGCNr+5il0bGWHY3PSN3D5BYKpyi+i7nMK/tIvv\nIylMtgRUCAf0cfcwrzo2j5VSBWpizz+tJaV4zNUQAfRdBHOUXyWPvMAwGuMAVOmwKHyl/CMwQltT\n2/Mlpcika2kIHrU6hkg3n+G1Qn3heLFewcO8a39KVdxaOGuFKVNqN439s5x3q6lMcvYFytlz3LV9\n3PGq62sLzFcRLgh9mL5gSYt2ore7LcG8S0Zq1Aj3ux3uTyfrsPPcEd5s1b2xsUeAU5iztiN1v2u7\nyXS9K3hvKWRB0Hd6r3MurIppXnwO0O5f26FbFrMOAIyfbRdOyoil1BWMozK8u5SiUK2hDPy8MsQ3\nZe3gPXt2Se8ZeizLjGnar7hYjrtuAtN7++6deklqV7nZV6Q7RV3T9T0NjP5oOwoxRgzDsOoeTa29\nRwNxDtyhl0kWWHKfFI5tH46xw25rXc15WRBC0c7O69evcHE4kCcXn/fFxQHPLi9QK7SzJd55Dsbt\nOZ1OOJ2oqyVwu6VSl8gHj6trgm/dH494dnmJm5sb7XbVUrHf7/D55gYTdx0vnz3HV1/9HJfPLnE8\nmQfk6Xha0R7A8+TN69f41S//tV7Hy5cv1OLlx3fv8eOHDzh/+x3+6uu/AgD87//Tv8Pd/T2C9/ju\n+x8AAON2S3tnw0WcGe7f0iqWhRQcUzJjWpFDrxW6dhZGLnnnSAkbtEfkktaKoowaiTFiEFuCTB1S\noiUIzC9jmidCBDUaAMQfbropjr5T1pcWoWHQeDaNr8ZbKqUozFGQPoUNrQNbJ8j3mD1QoyjIa47a\nSMhz2yAtBPHSxai/ofZMrlXsJsVI1Q0oBu3WeKhW5pn12v0rtep/ZM9dFvJO7buoz7V0mE/nMx4e\naF6Pw4DNZoOua1S3c0atebWvLYuY0DtFZsl8IGRIY5xdqatpsE9WJ4Z1vurjoOafOH4yyZZJGjOM\nLjSi4VUIuLa4Ct/CuwZ7zsFWi9sEjBzfwpK8c4/eB5SyqMw6YDLBQtwDoJhyNA9mgAUtLX+i4+BX\nuTIA+sasNeWkE6GFdCQmbytnwTmGpUA39FrJNNF5M1irEFiLJZbsyMkPAAAgAElEQVSJ+WalmCFu\nqRWn8xkXl5d4+ZLMLsdxxPsPH3B7d9dAqzKW4xGpgaq5Wgn+0dwz74nvU0vRCZyWBVPJQCfG1GEV\nQNPnKFAr2URDCgyWIfuwK02crvA1k6he78xVpYLpNwBUhwITDRE56xVGm/HVwXt1fR+HHvOSVPCB\nhl8C/0ecF2fy3dJmb6GQANhGwCMKZMgRhv10Ouuc2G63OBz2TaBkhNuhM1PPiYU1ajVssgMQWBwm\nN0mUwM3WHEjAxT8nhFLNwOZY5de1rc6Ye7sfNiaSgEnQ1cKBchZRkrVoRghrjHqbsOlPMOTJ+6Cw\nxcwBI20SDcyjVExpxoEJ1oQxLytxGbklpdQGZ18RY7daE+R5Mmx7WSVa+j6ec23y4iBwi2Z8q8jt\n00viTZZS0mAwsGP9XGb9bNdFtPw2vTeZTcG9QT+Ej9SMHh4ff86Rq3pu62S1rgLQlDKGvtPkXa41\nl6TPPUDBRq20IRUncKvMPCxndRXe8ITPSPcwKOTOIHgyjrZ+TBzgBO9xnoXfWDlwsDyCoCu2RlBy\ni9WyEXhtasULnHPIYEGD1s6QA+7a/H9KXAxOKMIF0fsmyJFim18lkilLkmAJLcHHHIQ+U0rF9c0N\nvYd/43g+4+rmhqAzUhzaE7zKNedRctaEDoDC5/QZBTjYoWCuFQoSGw7jDpFvomuCvGHwts5ZVqpJ\nuvAx5mnGdrvBsiy6DwEVJVd0LDoEGP+5XdWdo73SOaeFhfP5hN1uq8JCBIFyuLu/x7t37wEAX3zx\nmu0wtupteH9/h4f7I46no17D5cUBHz99xvF01Pd10eDeQ+PHJfL/O5ah3owjhmHgIgmd28sXzzGO\nI06nsyY5f/9f/huWlJjwT9cfY8R2s9HkC7DgOuei+5BAxTcMo9tut7puXVyw3Pbz5+i6ThM6GqMz\n/nR7y3uEiP6YlYPcrjvmsNUKHBgKuN1u0dce00J0AznmtMDHqCbZImjww7t3ePE9URJ+8zf/Br/5\n298g56xy8PfHI8+7gB1f12azwWazweGw1/l5fX2D//if/jN+ePtWx/zLL7/Ev/13/6Puff/wzW8p\nCXv3XoNtOJAUflP044XDiuYAUiZILvkHMocXbC7cRcTEXLEl6Z5lcEPjfUqiIoXI2hTHcyF+bi0F\nZy4+77ZbdLFbFZbOM4lEKG3FOeRWyAfkV0qcMK/iFQTFcwolBKBj2xrfS2EjZ0ssuxgReU33Tugy\nlBCp3xy4YM9F05ZzVUrBfr9T3z6AhHnaNa1NEOm6wGBkK9IutbKnVsDNzQMAgoLudlukZNypLkaC\n9lcrPge2Mfr0+QoPD/TZ/X6H2EVqVBSLEWRNSxpLyd5n98HDs92UFYZkTOAszhcYqAi9Aes45Z87\nfjLJllQyOiaztv4uRCwMyvEBoBsyVS0tiCylrJTcAKweLPms/JubIC/GwD46HHAEUslpK8oc6lCw\nx2cgQVOr5kQTU4Qumsna/r4Pzed5Eqak3yUKPTlTYClCGfpZ5qHJQyhblFTGwL899D3mZTGhDn4Y\nbu/u8Mc/fcfn4HFzc4PPV9daaViWBZkzfvXBePYMh4sDYqP455kjtRRLSvq+Q05ZN9YaK8ahR3De\nTPySGdC23B8HSurWG/86wJVorDadMuk8rEi42TpmwtuSYJNwyaxQmMhYeb/bqju64H01SOSfJZWn\n9YPWEvXhaLxIWU8qICRqJoGEHXSdsgFdHPYQ20MJomNHxrwxRn0mHo5H3N7eYVkW61i1hr9NcNWK\ndOjJAKvrEn8n4htJB7hw5dbbeMrYNoGVZ0Ul5btUI7hrR6HYb8tHu9gBnJTK98tCuFrEtHJsapSW\nFNbVs+m8RxfMwJn+xlypBj//uFOeixjWrr171udBCzOq+eKRgaNg3WWOmFdOqyj4+JDFvBNyP9jL\nSUjUTaLaNiLkuqTaKfc95cRdGuMTyvU+5pX4EGzu50ybVLMZqoiPazqHjryf2nVumZcVR0rObV5m\n5S7KF+WUMKcFHSdm4zjQc18febw4L5OIftdToNEWPeQ78mp+F06mCmLktVmePxH0kEXDOfUAJNEH\n4o1JF8OBN9nGwDSKaexqbKlz3ha9nHNIOWFJ1n0VHmErYCDBCyl1yfqfVa0vNkWvaVlA5t/i15U5\nkXHY7fc8TuQJKHPJOVETrHCQfa4tAFjiDklmm+cwBOLryhzuNyP6vkPJBbudBMxbLMu8UkDtuSP6\n7Nml3psPHz/iu+9/QGqN5L2H7+jaz6xsOy8LG7Y3/oncrYRzqBoMcszAhqvi/3Y6nfHp82e5O/jw\n8SOGoceXXxAH6HA4YJ5mnK7Ommz94hdfoZSCtz/+qPeVkB8diSNxAnZxcUGiEedJ53/Hnoan01kD\n8D/+6Vt6dJuO0jTP2O/32O12TUc+QAycp0k4kJXjkIC8ZP2NcTOuuuQ9q6nJ/vrD2x9NAIo7LMu8\n4PbuDvM8awF1M25oHi6zrkkpJfhA4gcDo1XGccAw9PAxoD+eeG5SIrxlhVedO97j7uEBv/39H+g1\nR8Jb7z980OTvq69+jr/9zd9gWRI+f76i3314wJJJGVE6oHNK+PlXP8e//uW/AkCJ4Lv3H/Dv/4//\nCx8+ss/WNHE8aKq4InLRFtWkk+KagDm4wN1/r13BzM+/JBwAJYLTRNyg3Crb8tosHZCZlQ37rtNk\nzFSoTdlWRE5C8Np5HoYRpxPt4wDFTPIf3ftHFvhYjE9JRUBWdn7EHSrFRLe0OOcsfpMOcc5F50TJ\n5MPmmz0ieFK5tbWBfjflhHnxUO/YZu6qt2uyxEbuDXLGNM0rkY+UMzcSpOtEiuGtoE0FFeSp+cJJ\nL7/v4uJCix4lZ9zd3uMWd2r+vN1ulSNpSByL/XUPT1QsdLBurzzf3jVic9W6e6043F96/GSSLVEK\nFCPZtkFXcoGH4weKg6OUubtlExpVoB/WdYkhkKKYPADN4ZxDp2NFAVJLElTH79rCKzxa0zmAgzyW\ntsz50URzJupAyjjNAsHqeq1kPJyH567e0gRDIsGOZrKkhSarbMoiyZlLQU3Smk36oIsIA8AT/eYW\n3pPZXy6Z2sNdB+fo+7YbqkRO06Rj54PH0A9UHeExXmYipnddhyJJrfOI0en/P51OSMuCzThodVLu\nOW3wbXZMD1ltFhKTR+VxZTxWrXZfyT3c8aIhX03dGTIZbsj/rEomqn9djDjs99QqFiltruyjqUaV\nIgpfpiCpt04WKpbcleCKhoOJm7VqV07k/CXBoO+noKK1JijZlLnk9U4UwWptEroK2eW1KuwDQ7gq\nfBNAawDTdCjkHqgRsKfvb+0VqDJv8t++6TZbRZETjlKVcC1BXktCpvHAalN6vJgB0DFq1RhzyVSl\n9EGhDLQ20IZxnmiTrxwXtYmfQDmDs86mc56VmqxDFfwafiyQQu8dvJxHYthDMw9kzfCNgatcv8xp\nvUtUQmuKKJa0mrElrTkpm9G5GJxLQaAdMwdLaKUqQTBn/t1SFYYi903k1bOzbiqtYWa4WkGBTgxB\nrSAcgHmakKrZachYt7CRnKgjMPT9KgARNTs5X6pqlj8TniCoJkk5yw+LKWh7HdRVq6waK2O+Jj6b\nKEPz/cX+TtdKhavQnIeI2QhRHGDVLh6HEweWfd+j63ssy4KOSfNyrT0nB/L7niWo5X3zMuPheGTS\ntgkk0NxAMzcCNkzY1z0xk9G8VeILKq//pVlfrXPYvIYKlLJKBJdlBuC0EHR5eYFxGOCDV9hzFwPe\nvP4S4zBis6E50XXUFdpuNjgxjOzu/g773Rbn83lVRJ3Tgr7r8eIFyTqP46jm3Vqh5oC8vWVUnylN\nR1Skrwc+b0rwaM+rmvT0HVXKH0O5Sq0MzabEKrDymvdeofbz/AkihS/7/MPDA66ub3A6nfQ7D/sD\n9rsdztMZH9hMlyBtJITygiWsb+/u8enTJ4a6WQzTDz0O+73O0/M8oStZk8NauRDhzFoii0pwKdhi\nw+c743Q+Y54n3D9wN2WccNjvEbuo4gLyjIzDYIEvo0OePX+mohOnacLFxQE5Zxw5AUs5Y+h7bLZb\nfL6+AQB89//+f7g4HFYd1c/XN/iHb36HeVlw/3DU69hsRrx6+VI7dNLVkDlyPJ+QFhK5kPiFjIH9\nak13lfa+ENbdCSo8WbGWIHR0SP1L1lfa24POp4mVPqULnHKGq44KzZrkOV6bDW623WxU0KIVcBjU\nNkCKzQvHRYm/n4Q7qBvHKpMwK4tVvbkC1a2VLAs/J4Hjt8ziRe1a2sbB8ruVx66garIhthfztGjy\nHoJHShnzfI+lkYgXCK4cy7KoQBAAVI4Pur6z4lPoMAw9Hvi5pPFIOJ0mPHs26vot96uUjKwxLa3B\n47DTxPLh/gEPpxMn4iyGMo7IAlVuFg6CEFvhThJQWcf5bRqfyLMuQiWPESZ/6fEkkPF0PB1Px9Px\ndDwdT8fT8XQ8HU/H0/EvcPwkOlvBB1xeXADgaiWTXU3CkVqJ3lUlXLceG9Ip6GKHoe8JFtNk/MLZ\nWhmRNZV2ObxfyyYLEbIlmFtluhEE4P8I3hwgyEkr00zXVqFeEwAKV9Hl+uj7Kzy4uyF8p65DKXXF\nPZEO3Hk6a8UnxqgEQ9eUbxxDlQ48xo47CSEGbVeXQuaFh/1OqxQXhwPu7+/xzTe/xfsPhIM/nc44\nTxO6EBp5/QDvPOZl0uy9cjekawiUOSVM06wt7cgdPPFkoXtA5M9S8soPRkn4UnleERVl7Ow7FPbG\nELVSvc2XSlydJSXFS2+3RK6c5kWvP3LFw7s1wZ7vvlVB5LWmeiSES6l2LiyLP242TUeMuA9hmtUv\nYppngpoUu9bIXIFUq96vfuhxcdjj9vZO77/ix4vBTQWC5ZzTDphKNDdz2HuHnKjqJX5BRWCFpaIK\nGrA8bqPb82I4ZuagBIOjCR9IhFTku6oDal5XqEW4QrgiMQQSXGASMGDdLt83HbCUWe62areNfDXI\nE81EAkSEp+kixYCuRiIZN1DlVljGpKadjTl3IaXzAv3uNXzSOaoMkqCGdMq4kuawgoiYqIOVMqt0\njpr3yWetHufUK8Rw8wSRRK06UQtbMLSm7EKm1ueQO3jSeZT74BwhDaQjPC8LwyCLrmseVCUttVgX\nm/l07XM0M0eyNb+W7qV01Wjcwd1+GzsvYkbN2sHtQ3rumjm28oCDwSpbfq2slyqQwuiZVugisey7\nVJ8BwMeIlAjWIhAsgfFGNiOXMfbBJNYBqvTutrvVnnBze4uH04nWC+0AE4+LumzGh3SOxiM18Ohx\nHPT7C3N9QgwrzmUrBkVjaVBugXgH79F3vQypvm+73aDvOlzfUBfjeHzAdjPi1csXyjGazhP6SBVp\nud193yF2AV1n8v1dRxC8i4sDXrx4rnPs7u4eKeeVp1xpjJ8BKOdWDHeHYUDwHtM04f6BxBtSWnB5\ncWDop3lWhRDQxaCv3T88MHyr17Hs+16fGeMsJq2Cnxj2eP/woF082es2mxGxC3CLQdVCjBjHEZtx\nNBEK4ds56Pqf+L53XYdnl5d6ztNsvoshBIXDyrmN44iLw4E6vTyHyaaFUClyXbd3d0iZuGPindlz\nzNTW6NUseTH+cwgBx9N5ZcHiSsF5mnE5jsrjeng44jxPiK7T7vy8JIobuk67FvNC1icfPn3GFc8n\n8gisCk2r3OkTyKzMpYrHXQW6x+M46nM9zwucY2ixxG+5MHrK6z4o8EiCYEOvodaq9w8gNIygnxSW\nxugE521fI+EKsm5RPjFzh7wzb9Pj8Yjj8dR0WUmS3XuzHxJeE/GA6dBuPrWnadzYRqGkjBXlwq1t\niUiQimJOe80RJywX7QrX2pGvVtMpB8wqRoismfdh8gKlo4K6xAJxFS+ytjt5e3eP83nCeTqriMow\nEHfz4eEI5wgK2AEmVCTWB6HjDqHF2857EojZ7TT2ExsjEScDrPsn5y7/ChJD6TcgCPWa31w4Nsm2\nT6zajf/08ZNItgRyAwA+cBjrDSvpQIF5jBFOrtE7oJBaiLTXZZPr20QnNz4Yuo9Wxrs29oq1wnFy\npa8VU1nTZAui3oVmAef3N3CwlIsKQCiEhWE1Qob2vHCjgfjknDHNiUmWloDlUphDI0TqjhVfAi54\nUe6ZaNx1/Yp0Sw+TJVa5ZPRdZ7/PV5ZzRsqmlpdSwjAMuLg46Ob66dNnTNNE3C3G7Tu+H957VIXg\nMXSmUfwB80RkYwls9FebpLdye1fUywCgOElkGg8kOedSDL7EUNAWWijEbeHLyRiXWjH0vRKCvfdk\n9hyiPj9ZAzmDJZKgB238rRFpah7ivu8xDgOO55P6oDhPBrmEDzcxhJzJR0IWoaura3gfMI7mDj/N\nE5n9NX4kXewwDiMe/MNqflUWNmj5PkXGVAJ1Jon6YEmpcG/ITNPEasRVXX3wGNtugVrDZ3PyrxlL\n61znJEOeR/CcEcEINSvmJKuFOHlvUAiBNPhMvl3iyQdYoNJyiqLMy1r1fRVgSIctlAv7kEnwJufS\nwgi9c8i1YJoXUzKStaHhCUoiFEKAa4wVid9lYjha6KilWbxp/GS8AMKUU5AYdcMttcBVCooNRptt\nrWsO8ZpbJ03NmlZorfIIKJqQirqVbbCOydUIRhAnNa114OO8R+fJV6lVdxTYsLxXcPh/xtmT513W\nVTFCb87ZilQGB5G1IzTrmvjCtIqlNkYybmxC3pybQFJbV8TYRXR8DosU+LqIi8MzhBgxc6Ai/JFV\nAsoCL9U5DXKHcSBxhWDJ1jiP6PtegzSAnrkQApaUUWEKYp7VKCUwHgbi2XxkzlLOiVUbK2TjFM+8\nWrJyR0SxlGBCnAjkjBhpLRkY+iiee/v9VmF/BEtiGJus6/ybKZvYTN91QOXEsYHpj5cXZL4qkHSG\n6Dtv8MjgAwpvZ1J/6Hsyc2/N4EMIxLHajnz9lIxP86Rr32ZDJqq52D5XCyn0wZkH0n6/p/lGk1Ln\nofMO3gWFeL5+9UrXlxbi7r3HbmswZTrHqAI4ABUuBUKuRa8QKHG6OGhS0nUdDm6v60Zin6gQvMK+\nui5iM46oqArxk7Ww9YmkfaSsaAWkkBcYuioFTqFLBITIz3/w+vqJx6lWEvJoIcMueIzjiJIL5pX3\naMB5mgyy6z15zTlTgBYu/EpsyBFHSuZmrnUlyAO+R5GfdTlCDEACCDZvr5cKeFcVHhgR4BzNfRF0\nIfNtjp28wQjrIzqK806Fb2RfX9iAWhJguffy2+IVt93tGHIra0mHyOu+3FdZk1rT7BXkmZ9r4ZXJ\necuHVSVW92aD4BqPuHIzw9n6X+k15w3i3w89trstagE2Aq1jqOjDw1FhxONmg2VJDWTa4erqCu8/\nfNRzE6hw18WmYDKSuuP5hNP5xOfrVem0Zx52P9B8jc06H0LA0PeadAL0fJ2OZ1q3m8KNUHlUJdy1\nhvXQ1yQp13nDxb0QInT6/XfACH8SyVYIXnHh8zSj5hkhdo3KWlVivl48D0zr8CxVqBqaThGoG5Ca\nbpd3FshoVaFSUFuqKfcEVsrK2QIV2pgK4D18EIndqhKRrdRtZv6UBr614OHhaIEAY98jq43xxWK3\n3aEuC+SDw0CTmHDkXCnjRWgYR90MJVFc491pcVhSxnE2omspeSV/WmvF6XREThkjPzRvXr/CF29e\n49mzZ/j0iTbw0+mEu7s75JQw9D8DAGy5miRSzgBQszzQvGE6L56murHe3T9gO47YjIMlfU4I3Ra8\ny/npjeKBkmqPBXRVA7xWeVAq26qC5Ugd6GK/16DmPM2UaDVKY0IOLZXUB+U1Sbits1khPCg5Q+cd\nutjBe8aZ8yJdsnECQwhsmrhYt7MQ4X6eFx2TlJIGcKo815yfdpTkvy3XIoVINrpUqVchmWfrClDn\ngZLIrnkmRPVKChpi8i11ttY0tr1HpvgjfxdDxEayvQoJ3jD1Wbo+q3tOG1qEddRijDhPE+4fHlbd\nko6NIuWTgatVrtoGnktmVTG7LvpbQik2Pnpvm/kQvIdvLSO4kuyc0+AoNUTfVpgnhIDqW9PJrElZ\nhXW74Fh9rfkcOCmRsxHVvXVn3qTvTQzEabJa0czPZr6KvH9ddSkpqOpjr78xpwW7zQbjYIqqx+MR\nlTtONmreNi5d1rgyWeUM+LoqFC8vY6zJkJN7GFj0yOn6IpLJkigANAc77oyKQqF3Hn3XNfM3cXJi\nwheeC3vNT9Lz6CpQjWenYhYwYnrKGZfPLnF5cYE/fvvt/8/eey3JcqRngp+LEJlZ6iioZqNHkLxa\n233/F1nbMcoh2UADOOeUSBXCxV78yuOAHPZctBnGrMKMRKNQlRnh4eIXn9C/lc5Z7E21SwtKTTFn\nWRf4EvQcijx/vfMbwr3zgCvAOFg3QrtljWHnmjJ6VoCb55nPzG0SGZlz1u6vkiAdDjt+D5SsiZE1\nAFyvF+x3A0IIym2qfNa0RQnZC4fQ67oehx5v3zxgt7POQ/BU8Z6XRTtF3nvc3d7Q2mZ58RgjDocD\nhr5vCjokQqKd/l5sCsxIWzrku/1OZbnneSHUTBO8XqdrI9FtPGkp7GjH2ntVI5TA0kEk7834XTlH\nDkrgJ+NnGis5X9+9f4cQA6Zp1o5i13V4eLjH4XBo7oVQJy1PHNyJ0W59Jdl2ChxZ5GEcMc8zHGyf\nk7E67Pe4ERPi4DHPC3VfZI5ykJ1L3gSc0zxhvz8A3I14fjniep3wc62aWNzcHCiRc06L4wUi/x2s\nOcv1jq0dQOaCScOJr2TTI/M85WQS7dJhqhWx6zZG14F5rbQ/y7lh9h6qHphJyVLeEwAM/UDKmfOs\nljMxRsB7TlhFmZCKqH3fKd+48sZXa9WEdl1XNgC2RoBzJMQhy1CsEAI8UhWu+4R5nkkl+WC2L5Lg\n65jI33qvoiRd16mthRU4Bd3SogzsbGm7/blkxBCtEx8j7m5vcb5cLSnnNdYPPRUoANze3sD7oN3J\nT58/4/Pj0+bdlFpZDK/TxkDf94AjRUbZD0oWrqKpPXZdxH63x/3dra7RkjLWlBFi3AgVnS8XOO+U\nO0cS/b0aLdM8MQ6uiHvQz1mcpHn+zKIeoVkTf+7120i2fCBfJtBL3o0jb97y4BRQktdS29mgSzc5\nR1Xc1gm6ymFe6waCQuXTNlhxiLEztS2+l8yy01qhck7lc2VxUVej8KZp7drCFZiuIWvv9ntNjvp+\nYKlKO/gzq7Ycbm7UkRyOVIScs0Pee6+QK4H0nM5nLFyxUigJB/OpkWvmSJ2J/PpYXB2wwKTkwvLi\nFff3BEE87Pcsrb6FaUo53yTHKwXk/PkUtFftWtHfkVdC4U4bvRtnFewmGLQNtKm8pMKbqSVq9GgF\nKVnwWkGbUmwqud45XOepCUJ+XSnWBKKpglul095FrUy8byZl+7kA1P+kLYR471UwQL5zv9tzAJpN\n5SdlVjzqYWT4Ig/Xfqnes7xrUafLxRQ6HZO8ndv8sb5z6QE6UPBagU3SIORseR9F5czt8NLgtamo\nyYEgz5By+tW8UTEGHXdsOtNyyA3jgJCEzGzw0MKbqBzGpIzmFbJC405BWQtfpQ3aNnS6F4cO0Q4I\nXqetuARg1T3pnHkW7ajVxEva/apVfKr44t00z2oQT2/7zqbo4DadeJr8kjFYFzPnagqH/LekMmeJ\nK31vQ5rm54Kz5AAc0A3D0AiL0N/FRo2R/r5uxEZExW6jICZBgLMgRzpMpdhaIRgNef3Jz5a0WvLr\nt11GCc7onRH0OvAoxS4ipcxBqcCZFuoABPPooe4PTfPabpKg+euKzOFMnj/RIJ6QavdGiEH2EmgH\nLBRa96XWpgPmTeqZB35eyD/o668+4A2LK3Rdr8G1BPQvxyP+6Z//xXy3JOlhGDoAfP/97/Hh/Tt8\n+vxZxSvmZaHiZVOlMbEfrz5+OScc9ntGbBgUWRJ5s5GgvTulVd/XOA747rtvNp3dUgpeXo6beTLP\nM3bjiGm64vmF/J2GYcB+t8Pt7UE7+4GJ81oc4EIn+WpZp7uUitP5ZIqSIZDUfPCqAjeOA969e4fd\nbsTpdOZn5S5GsCKSnLcpZe08OEdFI/GMlDFx3sEVg6+SHyYVFWSNDUOPDx/eY55mPa/lDFbYMGhf\nm+d5I9ePSjC8LwUSnHcY2DPg7dsH1FpwPJ20mC1r482bB13DidX4+q7TOZxSwrzMBL+WzkY/qICF\nJNu5FEzzhK7pPJ3OZwhcTfch9qoU4Q15rxK8OhFIE7icqlfQe23RCgG23gVq3O7b8m7WNSHEsJEp\nF+nvtkgl8Y4IBdH7T4iR0T+qRkpS/cuy4sgFDVHOk+RHPmdZyLpDEtDdblQLAVn/03VS9BB9pxU7\nFWq5LNSFnGcVk7i7u8XtzY2eawAwsh/osqwwryiLAWRtrrJvNkIh4Dgtl9ycEbJJm0VSiBEfPrzH\n21x071gTfR+hpyQZzriezvj8SKqTL8cjJdUx6nkYwMXmWrBIJzYX7Pc73QMBYAVtJ11vRT9SiZzw\n9PyEt2/IbuDNm3t+v5ZEyZz4+PGzxgjv373TRM8QcR7LQuMiPxNIceupJvMp5626+Z97vQpkvF6v\n1+v1er1er9fr9Xq9Xq/X6/V6/QWu30Rnq8Ja0KfTCdNEJEzliXhPYgoNjl9w/a1JKAAl4mvFh+Es\nXYwKiSLSYURakxInhdTuY9CvIPgGyXcfT1RVkExXSKwAkVOD73A43GgVxXuPvu83VWDx8tEOgFTK\nS4HjakwuVY0DfaCKyrIsmGeSdVWTTADgLoF0QI6nU9MatTavVLrVB4klr30D/fCejBrJ9Z4+7zJN\neMA9uq7HslglT2AiXjGvBlGSioh0mOw76Q+bojvGYaQu3Jr0vYrsc2DOBEAVO4GDyiVV7JJNmlW4\nKOq1BqoeDv3A0ruGvV6WBUirVsC7QMT8XAq6ZuwSm9WqpH+tiKHTaiB9b9xUQKhCTLCymcfyfL1y\n1yzgcGOGmOfLZQMFBKjztLLcLcBVVn7+tqMivCitRUnFrujFcEYAACAASURBVIFqpVQZ9/xlXaVu\nvlN8xlrPM6DB0POziQALauNH5JwUs/U+chaXdpMNl/cr247JalvnULD/zpm4SKlV5e+N20ceQq0c\nfEo0j0JnHnAE5+k2MJrrNMGtDjeHvVZyhcvT93FToW47p8uyouSMXPJmPK0Ly5XEEBhykBRuKTCr\nlnDruZKa05ajBu7EtnBD+Vz5LXrWuiH1SoeV3odB1qT71K5N10IlGSabisE8YghktszPQu+G/uZ8\nOZPXEAQKSD458p2ZOSVtFxugYnVwVqFWkYa6Fc6Q8TZzbAfnGRJdkt1fzlt4uA/INaPktOGsylkB\nCMqhIJeKyD/b73ZYE603rbyyGInwZel+gnb5RAzjep3wz//yrxh++hnvP7wHQPuaCB+0Po4C3ZNK\ntvcEI87F4Nxw1Gm5Tr3O2WmeUWvB3d0tjgyt+/z4BO89drudyZBfrpjnSTkQu92ovNOev/N8PuF4\nfNlAt/ouKgSp7ciLWIFIlR8OB/LXqkU92vpe/J7MhDuEwGT7VX9G0tc9wxPpfud5RlpXpJRMNCmy\nlUTFF9Lkhfle9H4eHx9RK36FsHCNJySd3Yt21AGogfY4mm9VSgm/fPyItK6KOiFjePYZlE4B79Pe\nGxKFEA4VrtqZ45xniF9VOwDvyXC2OkPdlELIl3gw/0SAzo+NbDhz6VoLCucc82Xp8uxNmpqzNPiA\n9+/f4e3bN4ocKtLVcLb7B17r12nWWCoEEniotarM/7zMWJYVt7e3uAjMq2SiPTSogHWVTmUrrsDW\nN01HCeA1RQ+t97IRAqpFuXcbETHuHHt4/T3ZX3V8a0GoBIUszRqWM0sbscUsKGQPm5cFpWTqIHFX\nJKdMHOu+x4cPH/i9euScSDxFvKy4g5OZqgEQTaGlbMhVikENDe5nEHKBlV6vVzXw/fz5kdBGLHgG\nkCw/7evWifTOIaWMUqwD6hnhUHJpUBcVKW854d57jZMMpiz0B6dQ2C53urfJUz0/H/Hp82ftxBHc\nsYXrG5d2bsZlTXQPu93YvH86w1pu7m63Y4jmqt2znBPevn2rQl4AsNvv8Lv97/D111/hjz+QSfYf\nf/wRbx4e8PXXX6lZ9zzNym8U3iGt27oFD9WKwqIcLdrlz71+G8lWNfJ6DBELFpzPFyO1jiPxGoop\nftVK/88713hb2YITwzZSFcloFYlyzkSEdQ1ut5Aaz7KYr8D9/T3DJoIF1jFiGEeUUs1DqWmhiv8A\neQ1UHM+Xxh8ib4jPHbepL5eLbl6Cay7XK068uKTFKf+d7tcS0RZ7O+525BIv38OJpvd2vzSOGV3s\nNNmg8WPBicbPY1lWbrmyd0PKqIxPvzbY4KEfkNbVMN+FYU5tcsw3pPCgQKanay0NxNOpb4N8lqpS\nooEbMbSzff/yLkopakS5poTz9YK+6xReELuIm8MBl+ukHiKl0JxpxyOXwkEkzPOm0hzsus48SXIi\n+EH7jhzdnzwrqb1RIKkHq3M4ns5YVuNnPTw84HA4wFJNFsNQwQyDgq1pVSirfK9CWL5IIqQIQePo\nFWLU+sHRgWPFC9tG7H+JQ892vKuq+8nVEsPlMwS+6ZrA2pCtjVKgp+RACey1AAwE2ygoieBL+/4l\n8Wg/nw9gCV4lkUgNpEXHz9nYidJlag55LeQ0e6wkDBLk0iG38n36X/+tQDZrYaiaa7gXnBA0h0vg\nQ0BNqeVnhbikmvjxO20Pc/EFonuRf5rqFf2O58B1a95OiUCzNhF43LcEdoJUmzIUQR4Jay9E9pwT\nBYfeEneag0WhvvLFPohJNo9vU3TT/Y/V04ijY95QgffDFo9fStWih+wtUfljAq3hudOMUeGbVH8j\nwnZCOLoABW9393fMj+D5WAtcqZvxzIUEdIisbXCi6zSRuIM3yNiayLtL3vcwDBj6HpfLZcMfgAM+\nf/6sZ+Lt7S3evXurQVlKGfvdiP1up2dfCIG9FG29juMOQMXj45NBhpj7lHPGmweC6Dw83GOeF95z\n6T7mWXwHW65jRSmWHMj7l71ZvmNeiKvaFhakUDYvM4aBxv27b7+Fcw6fPn3Sz9ztdogxmGfRmnSP\nlJ8JDWDzHpgDErypx+042aazgJPNwMF8w+9O66olqi18zxJq+efxeCTTeX5fu3HE4XBgeJgl/otA\nmZsChAfgzACU1oSjRA2AxkEVgGgISqBOsHGLc+Acnx8jzy8aX4JCGk+sZ+5cbMzgU8rohx6XTEHz\ndJ2wpoTL9ao+e13XKQ9OqRCcuAj/ChC4XYRzXove8vkqksPP5qIVZHKuuqe14ytwRNlfS0ko1QHV\nYKq+2j6g6om890UR+wGwlkQUFdi2LgmGrBfAuKPeu03xDrViLUWFL4Q7WoFGNMfhdDximmc13R3H\nYWNKL0XF69Xigf1+hy5G3N/f4/6O1uEvHz/i46dHTPOsEOLdSHtErSbyIjxGNIm1mJSHaPB420uj\nFvaqjFtT4BUIYhe7zTlRC4lGaJH+SvFsCzWvlcVXJB5q3qmcm4VjylZYiDhxBJmWFReYgx5ixMRC\nGi/HM2oF3r55o8IcJZN4HnEemSf59i0Ohz1qrTpO1PCo6HvjQF5nEtXZ8KT53E856d8Kr/bPuX4T\nyVZO2ciwIZAZ3/WqDx45qN5Uf5pkQ5RYRI3Le79JcDxvrHJ4eSY1ksAEveieSXPPLy/4xA7nXdfj\nD99/Txk+f3cpFU/PL5SIiNnfNBH2vhStZFAu+Gu59jYTDsEjxo6ImLIouSrms28WA6mFwTmNmAIH\nLu13Er6WqkoiWVoLVXGlGgRQ8E4dpVU3Fao6VqQ1aWLpolOVQTRBg1SyW24T38Cmu0E3IAE+dFys\n2CUJsBlnEnHZbRKBTqp2qTGcDf5XOOMKkRcPWLOYCVMluVZTH8qZFnNrMCoV7DRNuknEGAHuYvra\nkq6LPRD4gPAWHHmwShygVbEQSanRecNZL2tS40Q5lC+XC86XC25vbnRuppT5UJs3xtTEK7HuYWSl\nK1HRlPm0riT+Ic+1LMuv3lMrMiNXEeXEpqPUxYhSPFoj4xhD806bz22CaMdcItcQ860LB+WJCX+t\n5WzK3A0hYP4iUWuDRnlGBxgHQHgPDVdoHAc4v8OyLCb+IJ3jZo59qdpHQhPWtZNxowSp6nfJXCIV\nJVuv0JzQkg2A1RerrSXijTaCI44VBRsFqRADfKUkaVmN7yoV+1ZcpC1wyO9tE3dJfCzRlqTTe3v3\nK6MIhmGPnn92na7UwclFg/7Iog1ijAmA71UCJ3t+5xwQXNMW5fGrds+lUMAcvG94sokC5i+q5RWS\nFNnz0vywZMbLe9NAtWqXURNa71AlCNGOunS6MibuFPzNX/93/P6vvsNlmvDjn37iMZl0/GSP7Lpe\nVcakSCVWIcvajDH/TAQY6PeymezyHDueTjgeT5uzI+eMw2G/KU71zE/6/PkJAPDmYY+vvvpA8uq8\n54xDj8NhT3zcput0uV4xTVd8YnVDoKLreoRmDys5o+/7jYGtdArO5zPxwfha1xXr+mtzWlG0A4h7\nsS4rlmVWxbvT6YQQAna73YbLcj5vOzFiJaCca54HaV11P5TuWGjiget1wrfffo39boc//fSTvGqK\nLYrJYdMeFEGcYBon4Tm1Cdj1OuGPP/6IP/3pJ8hEDCHg7vYWD/f3yncax1GNk7e2GZQgSVIi3Lza\nFMZyKVgaA1eA9mbqzLVBLn2mxCAiZPX09NQoOUYOfpvzwHs4x4mZdOy8R993OJ3OWsy8u73FL/Mn\nnC8XLXqMLHiV82rfy4qbJDYls6kRjJLkqpCthJkQGzfdOpHEP1+WxZR9RczDO/hiQkghRqzLipRZ\neXEY1LxZ7k2tK3KLsKkaI0p8mTJZxbTxpeyRrRiSiJW0wc5+v0dKCZenJx3jNa0Yh0EL2SLBfz6f\nlTtYUTEOI0SuHQDev3+H4/GI89kMgal4QPGKxA05Z6R50eKV3C+aohW/WC2WGBfRkCX4Yl23ysvy\n333wWC9cgFlWOqd0LpFkfju/hH8cY0ASYZFStCso9jO1FizrykI9jPTgTji9A5knDtM84zpNpljM\n6IcQI24ZOTeOIxeRyPCd3j8V2c+Xi6LEYiQFQ+dNIn9dE+kfcAeO7g9/9vWbSLZSSnh5IjJsRSXF\nM/oXANRqrCK33QRqtULhRAAQA4kN7EaD7gl0Q0iB8rdLogkxNxv/zc0B+90ep4Em8bIseHx6xsPD\nA2ae/D/+9DNCCFgamdBSKPlovSpEpYU2COnG+E11dk2ZfMO8QwjWTaLDFSYv7SsnTY26HydA5BXU\nJDaO9QuaajCRGI0oKtXUw+FGYRPzPCMEStLE8TulhGVeWe5VAk6awGtK6OK2e7FZwKDuRG0SIccV\nOnmHKSciK3bWYXOOXeS54glYF09gLfR7HstK5NHdaK1vqUS08AUhprcpX1uZkS92XLFVgjkHzLKR\nA0BOJL9fStFnC1zF0pRTKvgwgjzJoScEWOckxoh+6GkBS2JdSKp4X3a4Odzo2KWUyUeCf+/l5Yh5\nWVROHAAyEoKPKM4ERbwH+o42ca1a+6Cy65pINIRzre41XR4JGiVQbztCwQeWL29UoPgdmDoejU/r\nRxUaCMmmo5KTdRr486njXPHhPUG15pUSpZubG4PSNAeSJNbiE7Pj4IDGxGklOGvlmRTLJKkD2Ado\nTRps0iZrHVibOnQw6QbM88t5p+RqOFHjq83v0bMNfdRDLqWVCOHO5MBrZWlrhvoBQE5V97YN3LJk\nUlHVwIS6JFTNbHwLsyWfaBLjtoilBR7txBnsub0cf3bO9ntjTx5NX3adoU9O+1TwFGZ+8ZEbuHUv\n5O+UdO6ouuAm0SrUIXVe10TlZ9kKuYlym2SW8k1WFQegAbk8Q4iB4DrO4XffkRLr3/7Nf0M/DPjl\nHz/rBnB7e4tSMs7XK1ymH3777TdY04p/+Md/NpRALiA/QYNbDQ0sr3025yJyyaqoWhjGvIujJ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ReKc5FwwjFaak21O0m9CoO+YM78lqRKIkK2bJXhWVK6cFqVzQxciy5kXnA0nYZz2bOj7nSESK\n50PTlTcFxKIFmpajLAVfiVdyzSbqJIXVQt0n3xTCYhdZwOK8KZpGVsGUK9WCy+WqZ3/Xdyq4Ivcr\n6pI+eLWMWZaFCoUxKP9P/qDljsUY4R1JuLssv1a5o+TgmsQypcQCSBz7smplrQ1yQs6marYxlQvy\ny7Ka2jUX0ayY0+ynThKXiFAC1mXdKH2v64qffvpZ36twq1sT4X2MGIaBhb6kmBNI6bXGZi0XMgP3\nltBKwXBzOUqe27leASyikM7PQag5ErDR7un/aZ0tgT/J5eDhg1UspRqp0BRIoGIBP/0MgBOFI6nQ\nVng+SK8MBxqGHm/evNko42iXqGwrytRlWlVcIoZAm0pbtViTJkgSXBde4K5pk1IBtwCNX0FNUuFu\nqtilcCvVfiZSp3rIcWVXJGDp84JWz3WD5L+jQExgKVRVRW2gFLyhOdiQmrpaQQy93ougbSyRAt+L\nde1qLRsvIupUFCbOWmWrgjar3Y6CiMwQqE1AnwAfKUi8SldMCKzepLTlfUgHie+EoEC1otOuY1VR\nE91wK7nYOzSS07VwZ7DCR5Pmnhhe5WGJWggmaOC8JwhYhQZHKZOCGR241tKXipCKQcSIy/WC7tiQ\n5oeBNt1ctLPz8HCPp+cX9qXhDTIXTvocpKXoYF0lg2qYL4YFw7X5mWya/LvObdSHqMpsY06QtGoJ\niHZgGy8v7VSZQt88L+j7Dl1nSk4kXsHwX8gmHLQDIgd61xcqtlSTXyUYnUN0NnaZPXuoS2z3vK4L\nKqDk96+/eo+UVpJrbhSZNnBO8SurVZ+hZwLt+XpR2J+Mh3NRu6ldNVsBmRO1VJwvF5SS9YAUnzka\nNqvGy9i071Arvs2B45zH+XzeFJYI4ut07ohCpVbsuqh7i3SWZQ9N66oJ6TAMKCXjOk8KS3n39i2O\np+MGzoxGgMRI8pxAOqsGioJhCEGLXrKuSylajbxOE4a+x36/U0GA6/XKXQpPSpf0DdBLA2/3BYRW\nYKAmJABOjCvazh57+FWD+H14/w7LuuD//f/+h/7eBow2ugAAIABJREFUMAzqOXPhQsiyLFhTwvPx\nxaq7X2V8f3PAw8O9vlDyaqS5L0EZFdMLF4Hs/qTTuzbd4HdvH0z1DBSsRRYdkDGX/yhn6dPpDB88\nvvrwDhMT9c+JVGn7rjOIK9f/pEMD8H4QBL6e7StQVdgDAKufBtzsD1b0CsH2dQl2PUs/D4PKy1+n\nWRUVW1+iyOMk3Sg47paJ6EumokCtdm5JgaLNteg8JAVLea4YO1wuV1WuBSjZWFdCGbRy+7U2XVXQ\nGTEvK/qe/JAA4L/5/4J//bc/4unpWdeOrCeB2Mn9wblNQTYyPNrxHgUA5Vw29IaFu5CHw8EEQkrF\n+3fvNvCom8MBT0/P+PmXj7qHfXj3Dm/evCElVtmv+Z5EzU/m0n6/56KBiBBYbKW2N6zER36iRj+Y\n51nPLYBFzjyv0WYPo700QMkGtbLScqPOql3vFi5PyAbrHBG80aEtoLKFRDDJceqG+U0SIedVLRXV\nNV0cLuRJIiyFR3iLNagTF1RcCaCvur29Rdd1WmyQYhshF5x+r6CJZHznuli3HzSX9/sdgnfaxSnc\nIeq+EP6Qz1Q1aRcIKTUvKi4ha2NNWdW0BXrbwr7V/xRbiXTnvcLk5Z2IdYBc8zyrV6a8B+fdRtlS\nzoeu6xQt5VnISuyGAGqWtCgSGl/yBYsxGhQWtD/F0Chnp4yckyID5B2mnMhXlMek7we4SOeExtLe\nY7i50fgfoDVMya2DTKjW7uY/u14FMl6v1+v1er1er9fr9Xq9Xq/X6/V6vf4C12+is4UvYITShtzA\nbfjn1i0hGE1szNnkZ23VylXKhJdlUQjMYb+n30vWSq+g6ndpvjcwznpdjLM0DANXMBujOK6AtB5C\ncA6eym+bR20x5SlndUtXA9ciHlZmwlxyYQlKNNU+zqpr6z+RdDzkuWIM6Loew2CVx7Su1NZtvBBE\nulX5R7DqOQkANFWUWhBdgOefLevKXgWDQQlSRknmhO69I/NfQOEWXip7qFbd4Gq4A8yIsyMSbS5m\nVpwLtYgLTK668Lij6YDSd3vEZoyzdIBgPyu1wNUtfLHCyJNWNCeYz5IS+gaukKs5stOvV+zGAWvT\nOXIMjWurcZ7lWVNbxQ1UKZRxkneaS8HQmEmez5cN6dgJpKpaZSyXyvBaw7QJzC2zXDJAcA01Zc32\nzmSsfy33Lf+kKmHbVXCF/t01v+gaIQMZX/GEEh8Z+S4HpzKwMiYiwmFVdnZ3b2RdXbOP2NtyEH8s\ngReUatBj5YUNA/b7HV6Ox6ZiaPA8+zf6HuXGOMLTiycXQNVOB4e+73DTE/SD/HX26tUBAMfjEblk\n5jeZRDy+eA6pAm7ENXhfk/ctY5emC7w3eMluNzLEiiwAANoTlsWqnVKtc86EUsSAuvUnIxENmk/S\nnSMz1JkI89JN4q5u10X927RSJT62JGz+H0Pfq4DDwt5/p9NJu1hvHh54rmQ47h7FGDFNE8FaG86u\n56q41SiFh2JrujIOX9arCGNUFNRiEL/MfjLix9f3JLQgAjn0rjOOxxPzfmxOzStBfaTy+vHzJyzr\ngq+/+qB7qWdkxTAMDaTTI7CX28YkmEVNjKNEf3c4HHQOr2vaCjDpGFft2Czriuv1isfHZ/293Tgy\nBzSjprabhs1eQnzL7XlWK+AKrVeZ109Pz+i509V6z/XahTFERGIJ+zdviLP9livnaV2b6r4nqXtn\nHkLSJVIjXR6flnCfBV1STYAmsk1HKVkFnlIioZyeOVkA7c0xUrdCoNuBDWSFewVA44KVJbUB4O7u\nDn/z30ecz2dcriTAsywLpmlmAR6D9NHeVrbnK9vZLDP93uHQ4bDbWVeAIAcbCNM0TXDe4Zuvv9a5\nH7zHj3/6CT/9/LN2WNc1oWf/qKhdZxO1UFn8rsPhcICDU0+5dJ0g/n/y1TkRP7yF9DkWqlnmBrER\nCEIs+5Y8PwDUkrUbJR1Nia64+aUxAb3rTCiSarBHOJYJbwx3M3c/SOxHxCVovtXmDAgscJKbbkyQ\nbkjbWeNYpX1+MQjXmwXtidfrdcvPa3akoqgQ7q59YcK9LGZqPI4D5iWg74w7mVLCvLAheiNKFCI/\nxwYlEdAPJtQia+56ueLI3rap8XETHjWJqvjN80VGQLSmxtLpFOl5GQcHNPeREGLEOI4mrFGqQnnl\nLFXOLeySn5VarTtVyPjdha3wCVC3dhneYehGNNs/PYfrsHrz6IohoPqtLVNiDl7f9xY38fvp+15j\nAt9A1v+z67eRbFXDz4tKSQsjAMRvoGlfeke8o5SbxSsfZ95bokRIXjtGGj+dzkzQ5AOS/R7QQPCc\nIy1+750mamISidJysTyE32STkL2YcoaIZghJXtrhkdvKtYERiK8TbUp0Ed6USOyyUGUTon3XFHQk\nQJBFuNvtVQjBDFErAjk+abBamkXqmwkszA4JTDzjs533yI3poiiZKWSS35Fu6LxhemdcHAnGiaMj\nY2kBvo4vQ9y8I4VA+XxCkVb1uxLOVuuB5Tn5alMFUSEkbyueOw6sglR10/Qc3MYY8fRM/ivLuuLt\nmwc1PAbAUDEHofWRilkAvNOE6e4u4Xy5QtzK5VlFYMBa7o79ODqd19frxG7zjWu9Ax4eHnTjBCQp\nqxtIn3BAhB9EP/MQ7L5sGpTIC/TLNjUKVp3BMJJxWeTFVn0/jZmoIspavoclTgDgBatUgdrshgK9\nNaiiwI+CKpQJBEogcO29VFQlsIYQ9HDV4kURMrRXrqB3Hrc3N3h5edE9oe+IgB6aQGCaSLlNgzwu\n7LRYfIERppyAlZ7r8+MjPj8+WoEFEuAUwBnfz8FgEsrj4QKNeJXIGIshqCjvIZPCZ9/3qkhFnJiC\ny/msz39/uMX7d281iTCIhe2vMocEciHXOA4KSwWIE7bb7bDb7Yw/kzMpQa0rhp6C4zc8V8WcmOYS\n8VjEpwkgGNmyvDDvg/brN28fkHPB+XzW+ToOPS6XHs8vLya4AIPRqGgGc3Zqux4gextd3jt4F5in\nwDsF7xuScMq77roOowSOoENZRG9aLorMF3mudVlxOp0wDIOqBZIQSqHkV+BxmUw4HdAEeSSY0Bq7\nVpI1JTiYBDWgeahwZmfzRa7gxcep2xRqSKWsIvZS4KR3K4JDANBCMaWWJWtTziMZ23me0X/BWZKC\nk4x7y6VplSwnNnrXNdGIAWx+v0k2ApvfCq9IxlcAP6VJhGnfNljt7e0NSq34008/65iQ4TAVKXes\ngKj+irAgX7zIfCMYFUPAze0NdvudikHVSgnaPM2aqB2PJ7wcjxvIrEDXSEWYxuTDh/d4//6d8tqW\nZWX1x6BFym4kEYRpnrX4OI7EQ//m66/xr+sfAbDC8HXCfr8zgS/v4XJBQlLOIhz7WHkTjAohYBh6\nnE5n3N7R/nLYH3A6nxVyLe/QB8/+qFV/JgVdU0+Vs8LEkOS9y7QtHBt6j6YwLDB4e/+ibOebYkCp\nFX0XVZEOMIqB9x49UyNE/VBEIuQ7SEQCxvEqBCFvi35J4ItdB6dFCagB+TyJaiPv7E2C6MUDT+Yr\ncwlzzpqkdx3xaJdmzqWU8Xw8YuK4AKBCmhR2ZH4Rv9Bhnc07lAoLk0JRASq27Hc75Gzcya4rOOz3\nDA+VeeI4Tkgm6gGCiB4OB425UyKxGRFMApp1lyRWE1+txjTeOeKIIuraziWjqlqv8Unlb9UXktVQ\nhXIEyHtzXJDjwnjfgegdOz3X1pTo/Aqmsihnq1AY5Bl2u91G5O1/5/ptJFuADm4M3MVoEhfB9rqq\neQsrZfHm3RwCEghaBl0Qm6AS4MlY7TADqNowzzNiIycagseaJEO3Co0EtHqQVWhGviFdcpXuS4U4\nedZSTe1NccYsNfzlws+cDLVVRjID3G5MQpwdR+4eNd022TSl2kMJlm1Y4C6AigtkIuPOy4KDmOx5\nBxFAsCoCd5OaAKbrO6CYCoxwe4a+10B9XUkentQnbeNTHLeSn0m23zniVQHcOaOdCxrZc/fGB98q\nQrMqUdEkL3pPClprUuEL50TtzCm+fVlWrJlUIfWAAHC+XjHuRux4jDsOcOTdTPOEmDscbvaKiy61\nkkN8c7ACTrtWcrB2hQyIRyXTA5fLFdM8o+965Vgty4r7+ztSJeNkizh7i1aN5PLeU7LZdM+E3yR1\nJHo+Tr6F8sEJiSvWFXMihNJUHm2cLVC3LhN/Pie2bYet8L9LR1U+UCuHOtfpO0kpUTogZEQ4jsNG\n3YxG1Q506epItU0+D6ibrsiyLljWBTeHvXYPZDYrybtk7ghbhylAxCacJoLOmZm1BEPCkVIBEFhh\npRVrkEq8dhZg8r/g9S1/K0InmiCAuge5ZK1Q9n2HWmnua+fh+ZnJ+/Zu1rTi86fPJq3PCePbhweV\nL1chiyYAc47UNHPOFvw6qgaWavN63FngqXPTSSfQZJOXtOJ8uWK/3ykHhtSv6Bn0m53D4faAEAOe\nX170/oIPaCWcS+Uig9waG18LLxaAcdmqR5Qgel2p6toITsQuoh9oj9Du9OWCUgr62KHjBPfleESa\nqKpdNPDpWRGwakel76lTVLjIB1iSG6MR3anIZskO3Sz0GVTAxNPnmRhCQXRRz5j2787n80bmW1S6\n1sVMcg/7PYtH2N+C0QBtB0AUEeX2aI/ylODo66L18WXyR79fdM9d1xWi0KfPK3zlxq5Azv3WMkDW\nbVuwc27LMZEg0TnX8EdovX337Te6bn/48SdcLmdUVC2Ylboyp6pRT+V3Fzbr3yEvC5xzygnNuWDo\ne9zc3Gjg9+FDwul0wvl8xYm7DKfziQrItSoX8O3bNyoND4A7C/QsIspyvlwZXdJrF7MUEkNpn6vv\nezzc39PfS9GnkonsuqamIBs4yY84cEcvMWJmGEflZyWWZV9Xk/4WQZ62YJ5SIo4tLO4qpeoeZp2X\nqsbuNL/E1HjVe6OkynHXVQoLgPeR+G5akALmaVZ+utxbZEsH4/+beqR2u2KA53UuiTrxI+sG6SHy\n863ID83nvFnXwqXvuk6RE23XV66cM6Z11X145CSaLEhmHhOPeVkaXhXg/QWB+a6SgOz3FOderhcd\nE1KsrSowJ9d1mqjwxXuC8G1bDlgXO1ZGtPcaQsTufty8Vzn/ZX2J0uc8LyiNYqXscW2c73zYcP19\npli+7zqdcxsRoSZGiFF42U3egIoYdk2htWAYB8oB+PGHcdB4qPOslhiqCoSYABPZF7RF6n9nO/sP\nr99IsvVrGKFUAei/NgGiiOfxzx0aiVwnFbaqWWuMETv2lij8s+pk82+SFw5o2ip1CBHresbxeNQN\np+s6jEOvFU3AFGBoDmyhKXRf9vLbyr4En5RoyfNXiCypFOxlMVfor9E/Cwes/HHS4hzHcaO4Q4vA\na6KCUlFQvkgYacxTMp+Svu9ACmJbdbvYdZT86nOJ8o2Dn4QkPhPBurOgM3a0ybXkWlRgaZSsciLP\nntiIgYRGmVGkukutKCs4qeINrRZkiKKeTi66f+/sfTlS4um8wSifj0ccz+dtpcl7FR2Rex6HkZ6p\n2UwCP8uyGOHUhcCdrKL3KxXwNhHKhYm+6j5PgcvlclHfnt1uxOl0IrEGtT6gatLYWBVo0OPtgMgc\njMuzyHeIT5MkSBr0V2iiKpteLkZsdc5vEvgKTgyaZ2ohC/L/3RfiDjJvmizO/lZ+LvfhSZI216xB\nA1kPFCYNaw+UDgfv9PdkvVnaZxAiItPS3xIZPOPz50db/17k2u0+RBBDnrGA4GO5ls3hqTLvsMAi\nBIIWBiVwO1V8XIskdPRuumgwylKLkv1VPRROCy3tYU3IZeuAzMui61PW9fl8xk8/V/zV774DALx7\n+waXyxU/LLN2WA6HvVpQmL8QVUG3yoaBD0nzrKtcLCnViPQVlQVoLCcr1cRVJLi6u7vFfrdDjEFV\noGqtGMcdMstRy7sYYo/7+ztNBp9fjnh+eUFZDD0wcnGn9UgShSopIKmwAiwR3O/3WNLKlh4tuZyh\nlXzmaEJSq1aWD4cDFcdSVkREYClvgrBbkuucQy1Jk9LgvQa/pqroGbFgFVqCONFgaqe0ktxzK3pE\nY+U0iJrmGbVi4wFFZwsnngLTKyQHv+1iQ9+HXD6Yl2T7/p0zGJHcg3TY22CoSnebf5UU31jGnZ91\nWVcu0linbuhJoVIU+5Z1JU+t3rpphUUUNuqEnuGOTScmpczedDYPH5+esK5pc87f394hxr0WP+n5\nAweWJpsvYg1CEQBM2TVUA1x778nHixUDAWCeJi08yDvbjSNKrXoePNzfoVbyMpNCwy+/fMSbhwf8\n9V//VztzGGZZAXz/PXlv5ZQI9h87zI1svgjkyN8u3A3q+17XYQikHNiPNnfOlwtE9rxVHhQ4rwTI\nle1QUnPWxxgQQ9hIxHvnkGslRBDA3XxBXVg8FbgrrBA3STSavZlQIknvnZ6U4rJazB5Gosm26yai\nNbVUTKv5wq2LwEdNxbbr4sZaRqwQNNED+ezJmvtVbKadmECQV2fd39PpjNPprDBfgBWMvUMIJhAh\nMN5pmjUe/vT5EQJ5byG5oSPkVOtFO47jJm4KkeCCIXh9VrEL6fvOaBpOzoDGAxYUc8ieK7YS3nvs\ndlYIAEPtW3VAUTrUZ+07dLHjOUa/13OCmxq4qRRPSfGxRY5QIbOFx6eUSOwqWIFL4p+WziGWHDIn\nBFreBhPt0fufXa8CGa/X6/V6vV6v1+v1er1er9fr9Xq9Xn+B6zfS2TKRgwqB5FlrwjDYDsaHN88p\nQ+cRVKmtHnQNZE47ShWAZwnNTlqTHtM0YWyqZzEQvn1dV8Phh6idArkSEzypImGQPcGkb/yXmlTY\nMcyqrfBrZcaZL1Xb3pZug/A3SEqeq33DgL7vjYz6xd86lTWF8rhk8JaVKuDkwUUX8Ysy3GiyrqUU\nlJxx2O/x7i35fizLTPK3XdOBYqly8+ihKt+SEzK3vsdx0K6FPP/usMe6rrhcTPxhv9/j5kCiJipX\nypVy62pQZ2tNGX6wTqHCz3Jp4GZFoZTC7QoT+y8ERx0vSNs4ER7Y8fOj4jrNqHCKSZbu3TBaRaWU\ngtPliqRS5R1ubnckatH4UQQWODBvK8JU+0YOe7fbMeHcA5D2vddqp3rUvBzNbFrmcDv3YBU/HhzI\nglpT0rWSpDIKMfRruR+VxEAEbuIDc/YaU0ftyLTS77DqNH8Syc3zf9RqJHdroE2nZn20/nEe60pE\nYala7XY7dIG891yw/cOBK6Z8X+u6YllmhNHMHoN3iCGii8GgdD4wLKt5X56I0wJ7il1HvkLOoAXW\nGW/Is44I48fTSTlWIQRgpQpvauaE99zNUmiZ+ZQE33TsVOrfOnEVVL0uApnlz/beK1wuM/SnRQQI\nT3DlZ1+WRavVynfoO67Q2xyqEKNI65wKr4/2TRMgCkxyV25LZ3uzzNORydybrohz7F2VGeoL9B1V\nGa9s3AkAd3c3CJEqvL3+Xqc8IAAsgNJhnmc8H6kr8P7dOwxDvzHr3O3JhyqlhL6XY7IiZ+L2eoYp\nCodX4CUAcDjsyNi5MQn2IWA3Dhh6g72i2h4v/xDubC4ZoW+5vpXPK4P+Je06Np23EK3jHsVrbVE4\nWwgB0zzjcr3iIFwkfs8tQRxSEUcjEoRKfFTXig3RPBJhG7lf43Y28MjC3E5vc0e5ncGedcMbRAOj\nBTROOHKnv4VCllLY8473vNBUrfkJlnVhsQXj4sUu4ny54J/++X8q1ByAmo1LtzftCQ6VGjEhMUgt\nxbiYIURUNn9t/YJIxKDxPWR0jXPALXet7u9uG0Ecuo95JsiYcDhrAHOJTbjq/v4e9/d3cHA4n8VM\nNmt3ooWuS1dAYqRSac0675o4J2DoycvociaY+vVyRakVT88vKmhyf3uHI4vZyHktZ8PhcFAzbYLW\nMb9NkA28X2mHE8C6Zu2WA1DYNtm18Lhl6lbSvBUO70wQz4aHv66EpilsxQBQlzDGiGVdN2bNl+tV\nYX4A+05yd1f4wSF4jOOO7X/oWYmfOhFnTOYwn2Fd32kHhMx7s96n/G1pYsmu71SUQX0S5xmoFSHG\nptNP8MIQA67M7ZrnhbQFht7O5hCR1lU9ueTd5FxY+lwg0wmlXLDf73F3Q9SFYRgYmrml4GSxEol8\nxmeC1mUWcaOrcodNOD/Uqd6NBr8XCPQw9E38/kV8svkZ7HL0/kk3wGxqYqSzP1frTuWcNyIfgjiR\nsQDoFcle7ZuzO+XEtincAc9J/dQ2aJI/8/pNJFvtOLZwQhlhgxE2iUtlBTmKwehH3IKlDcYgPfM0\nbxSqKJkjgqkKczgOEJa18XggmBnBErkdPZDQxpoS1mybJg2+bRpK/nVu03KFcxpE6vO7rXGm+ALI\n361ZlJlaK1K6yG+BD5zOyPztBJbNS34mrVSBFwGsyNJArsDftqaEeVn1uYR7saQV7/dvARDMbbpe\n2bvIDuvSbJC73cDte2BgLDqc+ZjJAlgzqbUtKWkrOZUMBkKqup/AI8S0mV5iBbxj9UL+CoavOG/k\navF7GMYBIz//LSfjL6eTBpzOE/dr4WAVoEV5eXrC119/pckWCRg0iTuxeeG8mcDWWnG+XAkrruPb\nKPDw8/vsVZ1PIIPTNME7z+pKpiBXa1GVH4CENOgBk71/hsu0HBXPPLc2oO37nvy+nEHwyMvEw8PB\nNUGDd8adICVKMYK19UAowHZxEjyxVdmTpIrWigRWTiG4rVqcY+VNCQaGvgMiMM1J3/84jgzVKHoY\nimdVyklFExwnfrGLCjdOmQ5IMeiU7+hihylQoE4eLQF3d/vNAdR3PQ6HfUMk9szrsmCwlopfPn5k\nfyh7DxLwKFSROUUkiEFXiBEB7BUjhw+gCY4UNCSgWxbjBYoBaikNVMe7jbdZzgm7cVRVOrsYfqlJ\n2RdG6KA6T4hSaBLgKEHDhnHQANx4PaZ22ve9HWAwyJgYcUuSd3d3g8vlSkRmnusCPYyxTd4dbm8O\nDWofOJ8vyLUoj+XAJHDnvSogBk4qiBdkQY5zDre3txhHSVLpfLHki02+g1fxJRpf4jtJwtleuSks\nOe/gmfMne50DGWYOwaBa8p5EiRWg+ZxLQT/0OoeneSYBIplzXGgb+n5jajsMPSXkTeFCYEDCYa0c\nIHkpkkCgP3IGSUIElCLT0gom4oHVFu6q42eWs5n5ZvK5sI/Y8GIkAaPjUyBXXiHu9PnskwlLBEVI\nofX3kTii5b/td5RYPz09I8z0bncj81CyiaYcTyc8PlFSJRyqcRwRef7LMR9Q4ZxHddmg0/wMuRHI\ngXOoOW+C4VIIGp1z1vfqGAYqcwQ8pbz3CgXuug5PT0/4u3/4RxxZebCWgnfv3uLD+/fQOcff671X\niBvtJVE9o2h+ZUyXM5wPluCzyh7BAUWoiuKL6XjEONAauL+7o7hhNjGQjoVWcrOvEywr0Z7QCKS1\nSboH7d81G68PFZpoSmJduAg5z7OerzEEPcvlOp/PFBPFqOfB8/OzClHIc43jgCkLj4n5aVzcqLVi\nYs/WWhlymZKOU62FuVm9ClisKTFfqqBkK6KJvylgfldtEWG33+neaOcGwezWKem4SaJHRtEG0yRB\nIzOSlmfuGqPzrqO/vVwn3WNIbZZiBIHqSpyyfJFoiPjWl5w1Oet9COhi5AI8F4KGQfdH4aGT6jUl\nsuJFKnHQRhysVuOSyrnp7dw0uoiZQrexr5xVbUNH9orWcF1hlU34rr/fFJH/3Os3kWwBtonKxMjZ\n5EBNDalYsOHooFKTSgDVGTFfx8DJJIFWhkSkoO+7ZsAdqzQNyDwxr9OkHLKWdxWYY6VdGxd4I7FA\nQir4zTGif/+l9GnKtmgAE7CQS6o/3lnCKPfVD71OxHme4TrHm7/h/e1sNNxuZcl4uQeVOi6i1iQ8\nEyKcX1VymTou67Lg5UgKffv9jsi8TRZ5vVzo/jgo7TrabKd5wpmrMZklTLNWTqlLljNxHYQg7Dmg\nrGi4QbXCgToNK2/C436H+4e7TdAUA5vu9Z11orgydb5crVomhsmns3a7xnHAOI4Y+kETKeHEdV2n\ngZ8EcltsM22Ykgh9/vwZp3/+FyxrsgpwCKqMVJtkJsTApoOS9DnUQlhhWbC+UKduN4zKWXk5vgAs\nX18aciMdUk43hlxaZTubZ1J1bTsPKSUsy6pzWKrl1rGkggStR7mqwOD18yVEK80aURnhtjtZLJBX\n8rPGYbaazpeLysHaYbhimq6qhiWXA1UWgxjHOurGXM4XnWOlUEX193/1Ow1M53lGrRVv3lIV9/np\nWXHurWrZbjei783YkSrFK72zKolrosQimFktiVwETjotiSJLh0aEgw8IScToGagTl5J1VCR4GZpE\nsAIYBsGxy74TMc9Lk5BS8tX1Ue+DOpXGf6G/M8SAPoMP8KA5lZN10xMrNyl3DiJYYPMwccGkLTY4\nUIfZ9x0qB5UfP32G9x7jMGz20lorUtlKnUuiKwf/4eagXUAA6Iced6xcJ3yHaaIALXbRRENqwK4n\nhS8zYabEipJBE1cQ2WU13IUplrW8s1IqYiNKs6aEUrfJkBS72o6SzPOU8wYBIgU5Q2IEXosyPpxc\nwAo3MUbs9zsM48hG37QmJfBRcSQHFkxo1NO4aOMcTJ2W9xHHARYAOOFWOuseVZgKapv4iTWDTooq\n9+MUTSHbScvHkXFp4wHjUVgiCJC9hd6b96jMn1IJblQM/YDb21vd++bFeGJX7mxcp1lN0kU2++bm\nBre3NxhZTh0AXl4mxBhxe3PQ/VKC9FphogbB5MVFcv16nXC5XpBSUrn2+7s7fPPNV9hetMGaQELA\n5XLFL798VKGQXAqJezTvsNSCWmiuj7yWl3nFsi6IIWqi9vj0hGma0fWdCoQMw6CcIOWnrUm7BzL+\nMq9TzpogOe5oUjJlxQZXPHKx7rnwldruJiV0Hl3Pol9tLCZJRqJuVCkVMyvMLvMCET7Qed3Ebe1e\nKkmOdP+V//WFUnBlVIeakDtSVxaUAUD7CT3YDC4mAAAgAElEQVSPFVqITxSxG3e/6uDIOddy7Vqk\nQ4WJvwFAyqbY3fPZT4WLyn8rIjcURy7tuubiw5diGKpuyev1fLlsjIBpTMRcvcAKK04LlLpflbKx\nQhG+NnWerdCy5lU/g66qBUPZX+k5/ObfHccyaoMCO0OIAysWCQ50/BifWDjx7guUmfHQbU8Qj+c2\nadQDyG75z75+E8lWW4msnFBt4AbcJdrACaoRCSUoHYcBh/1eqwiAHSSodng5xx2HtsoOWhDX6WpQ\nFW7n5pbAyURw54AoBGYmNct/5y/hv3Ht13ASKYeXKZFJcGgymPa/A0wdS1VlakLX9+RJ0og3VFbf\nkgkiC5g6A3SPl8uF2/B+81xyuMjVdVHJnlYZpIVeATw9Ewzner3i/u4WfT/oAj2fT6gAdgfaDFyl\nz1vSqhv6NJGARAxWUQhdBxc81pyROSkLMWqLXRKmCErkdruxgW943N/f49tvvsbDwx2/BqdKSXJo\nllJwuV7xP//l3zRR2x/2+MPhgD/8lz+oJLaIfnR938BViAwqhGKZT/JddB8MUWze6/5wwO3dHV6O\nJ93QpJvYzokQIoJPrKIG/fzqCvb7nQZI87KQwAugAV2MtOmDq4UykVpiv1zS6TR/NzoEnbduL8FZ\nKehXLzdRVYqSWMZfkZCpFEkblgpJsMeKfi6AlAkKTEUE8LsRafy6qVq1RQH5p6iWodkTlpUOblMd\nAxdR+k3lTURPOoHNxB5dT/5m1t2hpEFk1EvOWNZHHI/HzUbddx3BfKT65tjLrlFji4HkvLsuNs+f\n9LtUOt4bKViCnMNhj77rKHjh4GpNK/u0uU0wLIFw1KC58efi84rmn4lXlELiDof9Ho/hCQBwWRbs\nuGssv0dj73TuyBiVyvuMBP0sr3w6nxG0etrpnq2QDhhxWYseqIQYaPaww+Gg70yhX5Egn7WaV5p0\nbNvg2rqMdLdd6HBzc0PP38CUdR/kcZNgqi20+dD9ioQviT4Fa21QVq3IATmwKcCXYCiGAB8DqeDK\nvPak7pfm2bqnHAzmpsMeWJlvK1bhOahpi3m0Ptqgn4Lxi1axu9hpMU2egRIdCtRQbCwl6VcSei0E\nhQoesvolmLN3gk0y1wr10OM1irqFxig4q/hLoliacaf36hUylEuh87gptNZaWSW22Zs4WBSoN/0e\n/TyEQG06+inPVYMROQBdP7K6muwRJ0zTxAgTeofTNKuIgBTCZA51ne2dUmJxDvj8SOvu8ekJ4EDY\nguuM8/nayHx3quAoBenK5+Ht3a3u33d3dwT3qxYjUahK6nbqi8Q56/PxiE+fPgOgQnPX9VjXhOv1\nUZ9B9gCFR1Y6g25ubhR+/fT0TB5HQ68dClq7biPMcj6f0Xc9gg8osQ2GW+9Qgq3NyXxS4zCYaFWz\n94syooxv3/dkK1G20vpD7DdwUxFH2OxNJcOh5w6rFSpEaKqNtWVvk2u/3ylUTxI7UtmkM0TO3C5G\ntjPhz6osSNLIqq+JxExEslzHnLvCre8eQ8A0HjmdT3DOE6R5ln04KqzuRhWmqRAXfMCqIh8JhZET\n0nVFpfOZvB3teSt3mhT2G0NTzJV729qjwDWUmCbZks+SOEfk2An2KAmjU+VZS1SzeekFO/vlncv/\nllhIfi7/jB3TXkoj/CQxy7+XWH3R3ftzrleBjNfr9Xq9Xq/X6/V6vV6v1+v1er1er7/A9ZvobAFo\nqliUIQvZWy4F+ylGAgC3WKWiPDL5cZqNnOeqU3K5aFpXFJL+rFXl0KOjjoVUvgCusviAZVm1MkIY\n/h0u06xiDYBUQLeeV5t7hVX6rUrvm6zesu2cMzw8SmPFG5n4qX/bRdRScJlnff7D2z35ZSwrhKGk\nkq7FMOAhRCl4GknWgPeGeafGBloPod1IVeZ0Oeu9n85nhBhwf3ur8qeBycBSZakgh/ZhHPD+wzsA\nwOPjE6bpuvVV8MRZQIVi1OdlQa4Fdzd3WnFelgW3tzf4w/d/hTv2oyLfKJoH11kqtfROH1+e9W9D\nFzHUAb///q823ixDP2j1BKBWN5xDP/QmpV7KrzpFtVJnQqqMnz5/xufPZGD73bffAiCuW9d1GMYR\ncwOjoXdnkBZwlWWaZgw9PcN+v9MOnXQx1zWxoaZTT7UPH97jp59/ZnNtmVYiU9x0QPi7S93CAcR3\nS+ZdKpnhEVbxFly1vNeVsdOtHLJWG7E1K6dqoXUPAnMHl2IwhxgCKjJSKgYfhtlBpGS7QsfiBwq5\nUHC1E80YhanGGKzbW+l5x6HXv/WMQmordJWfRda+wBFLNmlxz1xQen7uAHCV3PtgAhGVZKjHocfp\nfNExIVGbgjs2upUqawxBO7GfPn3iTh621UJGAOi65a5jbKqRhEXfzh0HWlsTdzOmacI4UEVVqqpi\nXDzNs64bv2e/v2YfAsy3qq1sHm4OuE4TLvwdvXSHG5ib9567YraPkqwveSZJR20/jtTVK1mr1gRT\nqgpjaa8Qg3aUCbpq5cm+6+CDQ0oGl+27gFCDkvFlDsk7qk21U56zJVzLvFd+JkzW3TpFQUUCWml2\n5Rw1CIMuRiRn5shytXxK4YnWze9w90zh7Z6rwEX32JQyrtOM6zThLQscxY5En/re1kPKC0GwY9zc\nR4jsg9nAvrqu23gZUaXfIKXyT5nb1mHneQODVhOfmg1leYqJF5Mrdh7Ckdy6vIdh6FmGO+g+vCwE\nI2u5GGKU7hrpZ0GhTNNs1fEYtXjdwq2EUyRGx9M0UVcsBp3rwZOh7y8fPzZy7fcYuCOj9AgWb6oV\n2olWqGzbOSgFy7ooxG1JK3cOvIo3rOuKru/x/e9/b+uQu4jiFyTfWSH8U6/vlHybjK8ufqeEauA5\nmhNiVxklJP5ZWW1apLPnHFk3lMZGRZAeLc+GPlO6PzbuAJRPdr0Qx7XlRC7zjJnfrZ7BDFHr+77x\n57R1qya87Nk2DNZBarl98nlDIE40eXoZ9C2XrIIoMsdaIRSAuuLkx+Y3gjYyhrmJJWppBDKYl9cK\nhsUQEYLH9XIlmgCo039/fw8Hh+PpqO+h8p5jMEWzaRH0y/39Pe64+6m+XQxPF1Ekul+DZtsYk19f\n5JgKsDiilqriMp5jlU1HyMlZ2VxV/P9kj4COVW3mnBNus55zhbts1rGS53ZNnAOAaTHbc/NLcYv2\nSLXfoQ5rK2FPmghebRH+o7/9j67fRLLlAE1ICFJUNgupbe+2l/xOS5o+n8lkslOsPLCmLZRAoSBo\n131VI2JdGBpM24DL57RBjj4DzBtM/umYoA/QJGm9NwSfSi9UII70f18qo8jB0RL4Kip5QfCXff78\niBADeS+J+euyEGbZB92sZQOmwJKesYuRfHCq4VapJU08hlbhSgwAjY9AggTzMutGcsME4mWe7DtL\nQd9FvH37Vt/X84tssgYtGfqeyfU8J7zD4XDA/mavSc/9wz2++eYr3DEZFwD60MF5j/N01QARleBa\n/TjqoUHBs8Pt3a0eGs45hBgxTZPBASPBQ0u1Q7oC8CFuSNcC1VP+TwU+Pz0RYdubUp7zHiFG9J2J\nZtCYdIjq+cAt/GpBU61biCJAm7AkG8sieP8rQXCiEccF4uO94Y0FQiOHDEAwsNLAdWSOiX+MrAlJ\nNAWWQkIrrESXLREkiFbV+xW8t8FrWx6DBW8E76J5GXjzLqUw/csOfuVzwRJB+fvQcArEJys065Cm\nEAfqcmgATNa1tS4wQE1wUyKyet/p76zrgpx69I1JsPBOCAkp85tgsMswYKcQmcRwafs8+pnDmrbQ\nBzVUbCCzmRXfFEbKOHkSxTDoS60OJWfc3xG09s2bezYZpfHd73cKFVXInPfsPWTQCkk8gnfw4p8D\ngk2R3xDd77Ks6DouuHBAN80z5nVBTpackPolBScCaSP1xLzhVJVcWBCh16ShorKnWoDbHOEOHqE5\nhMHQOoE9kd8iiYvQel3WlYslpjzpq1fYuhRkuh6qxGfQ5YCAuoGgbKHY5sezpqT+NTROpJLW951C\nX6hYtjDclOcrr5NhGEzUhHkRtfGvEwidq5YIQgJJEeDwXs1Ebc5l3m+MPSkmrb+GERX1AtPfE96p\nwGNTQkpZYbAAMM8TQ8isiOZ4/Nrkwjfnb8ttEb8v3SeqwVrtdx3aIphAW513m/utlbmn/FnXyfhZ\nph7bU3GoSeZFyawNGruuV06ca/aSrutQasGnz4/6XPdOfACluBBR2TvtgdX9Us44nU/Y7/eavHdd\nt6FQzBMJGfV9r0mExDOS0Mm4OU/wTuUEFuOEt/FQO97yDDlnIENh9aikMgdXFTI4rCtuDgfyUmoC\nUEm0tGCWC46nE8ZxwI6Lg7kQpLUtQAtfSWKV+7s75JJxvU54XimxIB6l28DNurHHNM+4Xq8bTlfi\n+dTxHB76HsPQbxQP5Wxq15zsua1gkhRazC+M4tVLuerfyHOt/Fw9f+C6LFyAF9ge02Kas0oUnCmZ\npmu322OeJ9zf3+Nv//Zv6LPWFb/88hGnywmHvfi/klDW4XDATuCmbHBNYij0vn784UfklPH111/h\nhx9/pPm0LCwWVxpxOMexqJ25AFRV2oojvEaDwXdb4S39LM+iLDxvpEBdS22+k4rOzjlUZ4V/X3gd\na/NC2NsWwTsNW9u8ARan6/yqeibYGREIpthQQygWYA2Ihv9NSs/6tf9baMLfRLIFoCHAWSLSZqiA\nVEcsUPPeYz/uNPBKiaQaY+w1AM8l04JsMrqSy6+MWwEa4LE5IGop6PtOqyj0+7LoLDCRau1mUjrC\n3qOa6olURO0wgRIzbcOz59YqYxKisr1lmTAUNOoIoZSM0+mkC39/2KOLVGlsCYz/P3vvtWxJkl2J\nLXcPcdTNvClKdTcGaMyAZjS+DH+AX00a/2CMbyTNhiTI6QHQ3VWtqjKvPOeEcMGHLeMWBlZ4gFk9\n3IA1svLkEREutm+x9lrkpEa34AJEQNBoyEWYFVoVk/f6xR/58M21asAhgrAjB8Jdl4BGgcA4kDH4\n4ssv8NXXX2HoLaN+OFAFyIvpRS47xGB9fJQ96rDkbBkVxmeXas3aCAFV7qcaDXWMEblWZJ95Y+ck\n+KC8Um+LZpRjZLFPY2kqueAyzZgYx//27Vv8j//xP24c2nlZmeHHgvicKWvz3/3df1AijbvPd7hO\nE7799jt18oiCNKFzhrm2hq5LOJ1O+PyZcPafPt8xu5frzeLxWtdFjaA818tKiTAWbg9dqdrQZ+eV\n6OzlY+TMbxnqGigQd2E7OXLcF9a58Q2yBjW+pz1HzEwmfu1ZlOQ3qD+xoo/cP9Z1ygwmV+SNkkvR\nA1ycxmVdlEFL+iC8c10qEbUoUyKzly7LssmKEumHF/5OKhVgVbKGkhtnfC146ftuY+eIZaltehtq\nW7jKSr1g9FlyIqSxWee1NRz2e73nUgpiSPjVr36BLz5+0PuTZAtA2fmn5ydyVHi9iNhkCUbokwvZ\nPRV3BAWgHTvMaiNZliBy/xEAXB6fNAsqtmk3jjQnbn21latGwWVUQQdyF7fMXUISFDfOMDtPbt0J\nK5WMb2A76p2cxr1HnnlR0Am7vfRvMamJIyoRJz9xJt/uI2znmjOlQz84h4N7c0J01Vmrcvhko1XV\noGtTkiASSFRuXJdjSMhDyM5zVTs1DdzFXg0D2dLn8xlJ538k9EOtmGZjreu6TkV7/ZrzdiME6teZ\nl1l7u8bdTqspPhFG68b3TzXNxnvGQHGalEgqktNqlf4Vu90Oz89nCwTGkXqnXLAdAzHMlmKMehLI\npBiROMCR/jBvSzeBXbB9QoexzB4n0Xgtybo7X64YBmItlapNLEXJb6TKcDwe8O7dLdsGsms5Z5zP\nZ0zcI72uK/aHPTyxUuJ+Iqk0yucoyAouEKpY84rLdVK/RBKhCIbqkWDe2wmAHM8x7ja+Cbiq4KuY\n8zIDzZAzXd/j/fv3uFwuSqw1DAMxSiNocrzrRqYSp/u9XK/qCybv9JayIQzL7A+2Zv5QjJH2dAh6\n9pLcjCQQzNfceN8Ak36YzaCxgz6rVjs6Yqf21e5lWdAf9hjGUfey7K+npye1V/v9HkM3bERzW63a\n8yT38fHDB/zd3/0H/OpXvwQA/N//z9/jf/8//k/UUvA//E//PQDgV7/6JT5+eO8kYjgAG3ebZOT/\n/L/8r/jHf/wnvH//TpM+0l9MkgUW9Fq/pdjE6JACZjulArThSeD3yudLqZiukyKHhAiv0WHM30+V\nXjnr7bcDUOs2peYCar3U/thLZIujzjUVRLaFm6bnt0naCMrH+ya1FORSqQd8P+Bfe/0sgi1fdaKF\nTK/7w6ZWbsTlid+NO3Q9KZpruZiz10oLCcosEzmEOX4SEYvytdwD6UxkROc4jsOAx/as5frMzoXP\nlIcQFHJnL5Lzl+uPGyw9hWnPh6UtkGT6XHKgcaMiZRvr5jfpv+lPyroKyxs7OeczM+qZdoMwmPlg\nS5oeazV2uC5FZD4Iq8LIxOGxylvh/dBaU5amWgoOhwNu31I2ve873N6+xZGbMgGg75J+n2RP85rJ\nWXdOs2SYPLmAsuYxFAkAgd+Y5GFmR71LBCkiSmMZz06DSKUXrxWtVAzjzlTk2VCnznQa6CfpkJeD\ndBhHhJhdcETsTF3fa2WntRUNVKETGNl6ndAPvTYRA3TIHQ4HjONoDkKk7No8G5TkdDxSFWuTdama\nGTdowqBBlFasSlFHQvaEMIX5JnTaJWRtZExSTOh6q5xBkgxuDbdGa4d4LgTKEZ3zLO9rSGiIIaEJ\ndDEXzSj5aucwEDOe7KWxH9RR8Ws4MuzFIIVmkHvXeJxnyr7njg/SlR2/WvV3W6ax2LFzOGOmdQ4X\nWEjDtEs+CKRwXVergHAgiDbo3pyXmde17dfGhmqaJs2oDf1ALIOdZa2lKt4qOU/0vh673UgsmHzP\nh/0eb97c4P27dwpL/OMf/0TaOIsxKxLdrslI3JxOSucrTkdKETH1aNVsrgRUEnQCtP6FjU7mmqpk\nTZlm5X2SNPMw0tCMnIDWnE6bS3oFVB5ndfJ57VUYVItYpQIiG0s57JtkKCHOth3qNq8UpPhEwjbI\nksTbNhGWGELkM7li+6VRHuADPdC+3UKeku4BegZbm1bhTsw+Zi6I7F0f9AMUECtKIibMdcH9wyO+\n/PILureeqq5dSqpH1hBw2O+x1qr7JkQimuJcm7uM/VF+N6aIUIpBa2syJ1IHIDD01bL9kizzVfcY\niC6+ZpPvSJytFzNEwWHA8/msZB8fPvRsC8yXoHECBwKyRsiRLI68wFfY/J6TSoe8b5kXpvk2Ku2U\notpXeYZpmnC+EIzcnMKAUolV93SkCkXOGdO8aPURoMrrsqzmlPe9BkJasVtXXK8T1nXVhMH1OmFZ\nVnQO6UBVd6bOdq/FGFUzTsY8c0BjVUFCORyPRz03l3nBp8+fNwzKRFJhRAwA7fVlmTfJZEIhGPwe\noECl1Gq09wG2D50/KDTi/jWCCEdzjltlSR9bS5Iw87pYtRaG79l5SLYkbpAOnpRGmfp4nYjdlt/Q\ne3TFgXEc0SUjlOrYp5HNlNdVn0PGfHqe8OHjB/z613+tQdo0TXh+fsaOdVUB4Juvv8avfvkLSqQo\nKRFJ4KzriiOvrx1XxxeuntOa6ykoD21zRtJZ+xKtRUlT2ztNK+jim+RMc21Q66qEKZ5tOISI1l4k\n8fk7xa4l0JnenMGR+CfYTdHrHFzLRAROHqRk1dtSTdPXE5ylJAG02WGClbp2oCBJ+4oyiZ386aWt\nV4KM1+v1er1er9fr9Xq9Xq/X6/V6vV6vf4PrZ1HZCsHgfCLg66P7GIRu2KLM3mWdfLaPaMmbZY8i\n665Ua8wUjn3fo0DkFhIZb+FxALTMPzEhhRdUJKwpfb/qQP0zoE7KfjaDLgZok69G2QioDJsqLejn\nLDMnWSYqeUZH6V5bgTRF+qbWifXCjA6bK0YuG9lxU7lXao+pQ6gFqNazI9Cu3W63aeysteJ8vmjV\nruSMN2/f4Kuvv+LPrXj79g2Ox6MJDXIyOIWoWaadwrlc42hk7bVqjbIXFoc9HPZKwytQAkSjIW5S\n7XNN9Bv6YK32caXDN5wTboDL4JbdDCEqBb3+bkowRl/TvBDBwK6XqmYxym3OTP/2d7/D11/RON3e\nvsWFNaSg65qyrh7v3kBaGJfrRbMrX375Be7u7jXrKeOuz4otPNVhUbHm1Zaq2yeItDe6YE3CL6GH\nkfHenjaVAALtRQVAPmt7IueMGq3HcrffKVTIV+1e9m1G7kOUygBAWSdSlrfs1TAMGAfSWZOxWJkE\no9aie2AFEdz4CrBU+mQeRD9FCBtkfBeuCqnQJ8PDhmHQivg0zdQn1CW8ffsWAFGOd0wGIwQZQz/g\nfL1gmiZcLlf+7ERrKQREB2fd7Xac9adxGocBh8MBIQTdJ7dv32K/3+Hz5zt8+90fAJD0Qy5FoSrH\n4xHjOChUEZCqetj0/5VS0VpmOmTLHgauOMr8EM2+VSjofREhVoRq1a5aK84XEh2WMT4dj2ggcgSZ\n/6Y4+7ZZY6lLCMX2psCoJPssc0H33nS+iF45uWoMrUmqdFt1qtWGUoxIQCqa8hsANmKoSkoSCVZD\nvWsmByCVCF3XDUo2YuLW1iOh0Ef3/Vqd5mrEmu3+5O9iN6XfTmCd+qSNoNHSh1p5/E83N9qfs65E\nn19r25xNDZTpN61Aguh4yOiaM0IhHTg5DwVqGBiaKJdUaA1GD4Xo6zlFLxLqRUTt67YPO8SAy4U0\n9t5wb2LH5B7+u2gNv6hspsRVW6qq6v1yz5dVXgguvWZrDZCqBvW3OZQEf0LtRM5ETHK96pqgHhF6\n35Uz5X1Pkg85r/qs1+uEp+fnzToXf8RD/Kr0QEm7RG3aF+flRkgbcK/2UPTbnp6e3PriikY06KoQ\nbtRWEURMNwYkJJxOR33W8/miPpfcn0CvCaXBNiFGvSdbD21TJQNDZVtrquMHnr+YInrp2WJYoJe4\niS0gcnVNnlUqR1RBsz58sV9WAalojavuDmHRGMrqofYhRaC6s5bP63kuup8CAksoNO1FBSMHtMcs\nBjpDmkGjG0QGKUIgPH3X0XivGd9++x0A4Juvv0Lfd7heru4+iMrd60nOy4Jvvvka797d4plRSJcL\n6bodDgezmywETO0l7goBqe/Nr230/LVQK4WM8TiOG3hzbUSQ5ntuZZ/LeS97lZAxtiZe7mF/L3Dr\nVepiJncUtSXB750qZ4nqeBIqQ1pp6DcFKu1870AQco8eeDE6/+L1Mwm27IH6rleooIcm0NU2E9Ol\ntNHFycw0ExAceYM1untYBhozj/E3dxzMpa4z5iJuevZlaEC0CjoHm2pOXNk2IZVmDY4gQnSyCHPO\nKlanpXpmbEvswMr3CNROnFJZwPQe54QGgUXIvdLGWNdF4UYxkoBz8rAqbjb1ItHSbOr7R9aVxKB3\n+x0mESeulaEgUXtVMmudqUFzzkxSWBLpO3h4ZGQnqhQ3koEc61IqzuyASsl68vpGPH61bQX7vNPH\nX6hGU5XqU4eONVUMmkOOdggRiQ8IFDa4ruejci+LOum1YV1W5FJMNw1ErHA4HBQiIUxvf/jjn1TA\n8nQ64fn5GZfLZYP3P+x36PtBp3peFu7lC9oDQXAzgpUJ09zDwwMQAspaNg4XP50ezCEGJGYv00A9\nZ6BGIDVBA0IYgDyssvKalbFUxqlm30/Bc+KeEHPeh6HXxmAAaKGh74VYIehci2bJQUUcTU9OZkth\ntwCCYMM52bKuqzoofU96Wv5wHRhKlVgomBcPUCuuvM6HYcCuFIL4iUPLTll0cJikh+1sTe5dx70I\nWRnKyIHIP2rWvjkdsRsHFUm+DD2RpkhvASgoffvmBsfDUcckJurFG4Ze7ennu894+t3zhmnqw/t3\n6sAABrvuxt4dkMVB1azhmP403arAzmhDM7IZdtBzKdqfEmJEbAIdsZ41OsxM82pZFoIDOVZQarSX\ngE3GvSJwEkVs4rws6CKJmKtwbm2oMDY+cY59UqVU2qd9bwQMAlsX4giaV7JXIvYucxhiRNfbQU39\nZOQwbZqrYYQ38lnZH7J2FDLfFChj6zQEDQZqc4Gf6z3Z9mtGIouppr0TEzGk7fd7nBnOfOF+ooV7\nUel9RATQOcdqzRm1FO0vlbUD7xBCzm2+Lz3XqiZNg3O4EjvWygDMxDINweDhlTUHmz0HJbIMkivQ\nwRtmppXfhI4R9N5S1xE8rtp8UFAZEIJBL0lTEm4eoobllpB0zrnv6eIcjTEPVszzjOfns7Lnls6C\nSj1zpwm1FDQ0LJxEJFIK6/8qtfL7HCto4EDtsHewt8QsxsYKOA4DdruRnlnWNTNMrrkoaUjXkS0k\nUh4L5mul51CYF5MKPDw8au/08bCnPZ1XtRnH4wFCLKJrtDVNWmvrAid3gnO2QyB/JSjbJ+2N5LSy\nEGA9NmJLecyiI5ERHVLvDtC/h815IGtF+uXdzZB/Kuuw2BoTnzPGiC51zDYo5yvtR9q/Tb+rtYrs\nxlJ63bUXL0b86U9/wrfffodf//qvAQB/+7d/g3/8p9/iH//xn/BwT/psf//3/y++/e47XM4X109X\ncLlcsK4L9ntq3/jbX/81fvmLb/CnP/15oz1mTKFCXhMQoyQOxL5Yn6hcltTCxta1ZgUP6Wn2PXbS\n2uALLfI5SoK7hFER9l/LBnu+BID8gcw9kP5szi6YpTmt+rziCBFba9jspxACUk+xRNZ7Nt/eB9s/\n9fpZBFs+yhx7yiyLojpgrF3+EM0saBdjVGcjZzrce6ayBaCK734TWWN00skvlSa0torUrKLQ0LhX\nSAKfBfvDHkPfa4PhqpUC6HqgviOha6bXUseN0PJ3wX9WlynkoA/cUC33IQepsNWmFIAijeXiDJGz\nHJyDQGrbckSIc0XOceeIKUrOyGVFislVFGhBVr5Huo5oPP5qrF0fl2bGuYncU5VXdkyqNINzNpCo\ngsHvWxETCT8W7WPhADIaQQaEZj9EJW0I6ogAACAASURBVMinvyYKcDSwDq5xVg75qkxVMtfCbCXO\nA0AOTS0Zed32Z1HwmnWuE9MEt2rzMI4jdiHi+x9+AAD88U9/xuPDI+4fHnTcxnHUyoc0DT89P6M1\nYtUUVqHWGna7HRqMrrXWin7oMQ6DYbmvV2oIh1UFu753WVLLoPnKhKw7cJZJ1nrivjnJ6NP7sV2v\n0szvm1pTQmW5hS66CjQasmNBq6VgHCnIUXYnUJYpBWNBKyUzdbgFCKHr2QljKlp4Z9OcYaoeUKDW\nuyA/xcRC2duKQqlGhgPOpIdslW6pnogdStx3WFtDK4LFFxHsLaOqEuPwOKUYkbiiJP1Ul8uFgucA\nxeOLPZOKL71GlbNaLaBJhezLDz/8oNXeru+oWsfBDwDtxSru7z07vXIsCXlJF6yfLOs9bA+daZ4Q\nowUW65rRcsb1etVKuDTDyzwBQFkWAI0dO5qvy/VK/SPjoIe17PMQAWE28qyUufiKWsF1mjYVj5d0\nwHRZrx8JDWdj7QTZ+RCiCifLfadEPYtw9kqIEIyAiCpV3imx/ktjlauNKiSeLU+fORqDoDBOZtd3\nmrqIgKDSCwDdkrL7AZjnBbUW9MOAwQnuXi7E1jqwfZEEk1SyeHRozrVyQq8l6UPRbLw8j+87NDvh\nWxpaEqfXnE16BluLgmAxiQ1o70t1NlyRGJXugyqMVIWRccvMMFZZwgMgCY67u3uUYombfqBex3lZ\nrALC/+f3XOoSEV8VQ0CEWpBShxiAdZX5EmeQMuEAMAwHLMuCp+dnTUrNy4xlpcSYVKJFdJoYKk1g\ne9/tjYmSgwC/F2OkM2ccRz2HJLDJOeOgjHoN12k2PwNbtsvO9TTO8wJPm06EE4VIhdRRLTw3URNm\nc1sg0hcmGRK1+iD9TtpvGyKETsGSo9DPyZ+SuFSJEtf/iQZ0ffrRPifShajJGyIjmbTPDqA+cUE7\nKVGNBFCdBeWe0XRLIhWA9qL/OTTq45fXIpOZNBegwIIxWmBGwy5Bz2434u7uDv/5P/9fEMbqNzc3\n+Pd/+2usy6IB3u+//Q4lZwzjgAMHVtL3vN/d6L39/vff6pz5CitAPqA/5wXtJevfE7fpOMeAulJy\ndUM2xyzFbpDQQkOV6mQQxFZT5kGbM8BL7bysrsm7aynurKax9nMjRYvs7IsQ9BTXTyoBLgBb6+wP\neMRG33dKDrbp/f2J188m2DIdkKyU5AYP5Cx3axumJvmfGAipNskgyXeL4ndxRigydEAPUskwOiME\nBG7MT0p+MM0zbpnqOjqjIaxtsr2EYSlGcyRiCCiw5r/IAQNlR80oGTTSJjIyE504tRR4AAEOIhJA\nm95nTyCVL4M+iNO6LotVA2LQaN8gWMZi2KujSN9NB6BkgS1YFgfjer3iOs/OwaP7CNGYvMQAr7mo\nUe5HInTIpaghkSZVOVD8bw7DqBW71hrpUjgWsJWbTne7nRnm3DbOIQCs2TaulvBLRV4XzMuKe2aC\nSinh9u2tkhPQb2QAQcdot9thnmf84Q9/xH/5zT8AAP7yl++RUsI8z66R2mhlJYiiBuQDTqfjhmVu\nVW0V3hMMGSI9GgucJMgVAxYkqxewyfB0HCR4mJfoe3iNpmVdiQ5ZJAdYvkBXF2sThWArrjWmh64V\nq8uyIgChGQQ4DgNDRqBOSeJKFO0fdkqmCYf9Hjc3N7h/eKDfqJQY6B1kMjJsIAA/Mp6Fabf9uEeG\ne9H3iaZMNeraEND3gzpgfc+OfjO62lKqwhxkAGYmxuh70y3SzH4MCgdpsINZ7RonKMLGDtEECuWx\nrBPSKKsaqAv8OsaIcSeMb80q42o7C1oz6mfKGVI2Xh13dqiFOl5eozXmILkAOqnyun39fCZWOK0o\nCLOpq5QJI9WyZnRsX9GMBU5tHYwl1TthTZJAml0l565zVTFX6JGv5zNi66gqo6EcwMJgGywoSyFp\noklJKDghIVU6+T6ooy73UTVr650y0QYszqELIRAzmJ4ltG9KLeYgxaSBltx7ANk7YV5rDfh094T5\n7l7nWmB7Hz68U1uaM2nR0PdwYC2ws65XO0fQU2BxbKQxEFFURYX3G1szh5XGhKtXnOEHaD0tChGy\nCoV8p5FXyZkZVBsrgGjaZ5ed3427DRxadMNaA9ZM75MAwqMhciYyp2lecLlQtY8qenS+GozUSIU2\n+pR0+jun3Cp9U7Zkw26/Jx+A1/Xd+QGXy4WSLa56Lg5icsQREoTJfYQYkULQRC8lCQKmafpRkE/Q\naoEadxjawOyNFGwuy4zrdcLpdNowlMr3COuuQAMJZWLyGCEEDF2vkYWtYTvfJHFVm51DeibYsqEq\nVohW/g1WUfNXrQLJNZvOi25T9UiJkhIKXY2G1JHKIT1TZBfTkg1ir3y1Q1+T+wWddzEYyU8uWQ2N\n7IlWLBDXCgkdAJuEp5wMSSvMtI7u7+/xn/7T/wYA+PjxI25v3+JXv/oFfvhETMQfPxy1nWNDIlaJ\nMEOqWCPTwddGhGB0v1tWTgDsb1AVO2ezTd7npT+pIBGDrX/ZH1vbR2QXhn5p7rdE/1H0zrZjLlBl\nq0RXtRE+mSNoCu9fGjpNWAYNguv9P7I7SdeijJnI6wDQxDgQABeU/9TrlSDj9Xq9Xq/X6/V6vV6v\n1+v1er1er9fr3+D6WVS2QrD0hmgPdSltMo8CLfB06BIdSx/PwIJ1payaPSfITKUmRonGYZk2o4gO\nmiW0voXMlYGtwDC/3eA1eeVMpGVVUqAom3DF9BOSIYfmLyhLFDeii5QVSa6PhdTjqcdEIQK1KKxO\novEAgdc0g9s1AIGqWvKs67KwsF/EslKUT+KALBQaDEISgow/ZzdKQYwjEw5IVpGatD1tqHzGa3t1\nXcI4DKoVpBlNlz328+2RNTFSFuxyYZFkpldeVptrBIZYzL702wMIWJZV72UYBgzDgOvVem+Aqj1/\nkvG9XK74fPeAT58/q0Dn+3fv8PT8jMP+oH1jHagCJBmrP//5e3z77bf47g9/xP09VWIu1ytET0Sg\nAxUVoSOYn0EyCX7x67/5G80e/vDDJywLCR3KfQwjacn5xmwSb+wwu1xh33cKR9O106C9g7LGqCos\nYt90L0M/4PHxEZfLZVuNhGUjUyJ4R+QMoiy6lxkwL/go79vtpEpZ0bHArIdf2Xz1GMcBw9DhyNCf\neSZq2b0jasmF4cZdj5nFtImCv6M+OYG+MIV0SgZLlR4dkR2Q3yeBZamcQHH9HloisAyFUTT8CDIH\nGORKK6etqYaah79Yz6rBN3qGkXmbWGtViCDA4rwpbatCQWBqVd/XdYOSDvCdcZXd9SHGqNA4rcQk\nEv3tmYZffjPEgOfnC/X4gQRhiaghIQSGFjFFdmU9K/m+DkSPLp89nU4Q4Wx5fpGB8FlmubrkyRUq\nRLRW4UuMatBncALtXp+L+gpsvgYv2yD7htLYlECXkeMMqyeNkAx5KZYBl54ILxkhc1hh1Z6+I/sg\ncynXmjNiiFrdCFE0muKmstv1vdqcp+czppnIVS5cOamcxX96fsavfvkLAMDbf/dX6LsO9w/3VukF\nFWAXJyMhEC96zKDvg+4LqfwGV5mwDHgIDQiW8RZq5ZgcGUat6BmZsBahsO6JxKHZuZZzhej7AIQ4\noSp5RGU9Rclyp2iVrFobzuczljWr/Tkejzo3sjaGceSKo9lDqS6Nw4Cb0w3PQ8AyL5jm2bL2RSpx\nBnObpxm7cYfD4YDz+azzOo4j+s7gzNK/SYRQRefRw5lIlqBjjSeGQrrvsP1A2KoudRt4nFWc6PtI\nQHygKhvfV9f1GMedyuYADOmqRAcvVQEj0LE+zsaQVBFZl3WyIb6g0VPIpVVjGsmGSN8wQ1GT8wdl\nP/bcj0XPRWvNQ9yEqMdXutc1m2/El/R+eRpv3cvO3sjctNYQHDxcK10OYSRnRdfx2bSSL9n3nUKr\n5fP635HlfKJV9lqr2O0IHipV10+fP+Ph4RG73Yid0q2TL9ALDT2kME/+nBAw5UyEaR7WTn5jBaLJ\nXHSJWjEEGST3KlVL8WFKI+mG0sLGNvvKVdPnNM9BkF8eEeKrfG0z7p3adYDWVwm2t+k3qGfYU/9n\nbvzve5NqWJcVEKhyET4Bqiqu1SDZgvqZWShbnkn8HEVsvYRO/AvXzyLYelkiTAj/7HtCMLhFYIgH\nbUTpFVhIj4YDE4CDkhYUIwowBI2FjRWjHkXR2kqOaehIpykGbcC9XC7ajyJOfu57DtZsAoGGvus3\nquQACcdF6TtocnBZn0xrBNOKAahBHCsKlehGzUGqrRCTH49X4fsCLDiCQJdgzdV9n5DzChKQZRHH\nWlAqHeiK20bDzemIGBPuH+7tniEbSb7PWLMUDjj0CAh6yN++fYtvv/sDPt/f469YnI+Ml5WZ5fnp\nMEmbA6LrCR42TxTg3bOxub19u+kroM9uDXpr5Lj2velAXKcnMkwvjCkJ+4Gfa8DxeMRvf/t7/Ibh\ngO9ub/HNN9+glr9o8DzzYZvZiF6uV1wuFyyzOSrjMGCeF9akkGelHqwQg/b/hcDMTTw29BrBIAlK\nZYFwSgnLsujeSSmRJsu6qGN9PB5Ra8XpeFSH4/n5jDWv6BlyCZDTvHKvgKyJZVkx7kacXN9CZAIa\neQbC0lvfhqwHgVxsoYsdw1QNIkBkGJ7ZM+ghra/FgJH7cWTNpZSIqGU3WpN66SnICNCAuZSCeZpB\nosIyTrS+lnnZiNgSq5gJG7bGkBBxSkCi3H3XaZ8U9ZvS52S/7nc7pC5iXUxTSZgSAWNL0t4lpxVF\nSSWC6XbigJaKdckbmEvjxJDXGorsbHRKMML9Q51YVHtW1LxZ+w1t0z/g4U7WhE8QnFIrHh4Juvh8\nPpOD1HekdQQhJmAITGVHR51lC8op2HQwU0h/KItf98I01mmPrpCGyGGZS1HHR8iGPDBJ7IhBQXsN\nSH0PjBBt9GFLtiOBhIyRBq9u7qQvxER4gxI9mIgnacX8qLmcE2hyDlHAb5Almx+GiQ7Sx1kxL9RX\nNrIw95pX3N8/4P6RxW+XVfsJRcuvsv7bOk34/odPAEhc/uaLj8DDFkIf+DzM0q/bZEx9YkUCreSY\naAuEMMYzOdZa+J7le0hjiAJIm5+Hx0d0XafPNc8zOesOvlxKwR/++EdOEgJfff0lhGhD3lNrxTTN\nmKZJ4cSH/R6p65CnCZ/vyHm9v3/A4XjEOAxKXjHNsyZfrD+Q4FLJEVUNwwjqW5z1XmowO6OJrtZw\nna6Y50nHuO97JRvR/Vqq9WBK0CT3ECzpMwyJEk2urw28J8SmdZHbBVgbVOZB2hRWd74qlLaZfY0c\nzEqvEEDwVk9oJsknnyyqgX2oYH18IVhftPk65EekGCnAoJmlvhsJGFwiVlN57Ld7YiFNzPW9Pr/A\nntfFSD5240DQeD4/ATqbhaHWwx4RAlqMal/8/TT14WhNgBNnACeuOx5ssbnc097aVlOWjlKzhyFG\ndLBkHUA2vVVLAnZdx5qqFZxX0ICR+tjMHwDIxobVbL/0QBp0lWzidbrqudkqkTfFFI2Uh/00H7xK\nUjwEn4IVf9KCPkRKXMgZLH2uHuJHa5P8S/NLKy6XC7cI0GsxEptka8ZOKgRyQNAkjZA8TfPiEs1O\nb9Q9l+wJ35fWWsO8rJoI7LoOoYiG3ouz8SdcP5Ngy6pEMmEvm2vF0QxhO1DSLEnvCWr4hF6z7wd0\nXcU0z9r83PcBmTN8MfGAN6aCTxGd0P9GCnG86vs0TZT9dixYy7ry5z2VeoeOe6N85tFXnUKjv+dc\nNCs0Ss9JqxAKuF4IB1z2sHFmmljwDFtdckVpRTOKaBXU11Xh6bBjJLKR6/Wi90ZVAOuLyGvG5Xol\nnC8vdHmWcehxPjvDHMMm6KGDsWmj/s3NCXf39/j8+Q63TH2dUsJuNyKlqExmRJZBc+gzKsuyKKsk\nQAHDPM949+6dPr+MixpAUFM/OJvns3Zd32/YZ8hgCBGJVQ8GDrjkh//4xz/j8fGZRYapKkgZp2CU\n9hDhya1gY+RmU00YuMyeHRC0XtZslbJaiwb4ymhW6TPUo9B4XnvaJzEoNf3Q97i7v8c1RmXBu7k5\nYZ7nDatU3/dY+1V7Jun5qcH7dDqos9acMac5jFo1Vac/EkOix4ALoxSRP9CzzvOMw36H3W6nzvCV\ns2591zunLKnwrgSM87yg5KiHKcB7mBtfZe3Q4RuZepjnIpjIboJUqhtXu6zfjzJvlmWU/gQE63fK\nXNUi4ht2cnJGiET6Yhn16sh7tsLEKVlzuVT5qfrG+0v6w5iREYCyK+73exUwFvFzuMA3MUNh8iKp\ny8L2UfZINgc5OOe40fM3Nx7dOOI6L9on9nym5NOHDx91fc3zjGuYmDqbhlwFPh0ev0n2vgEY6I3j\nOGjgIutpnhftWRUiEe0hbdbU7nsfOrdOfAVgWVfUbMQ8NG6UQHApLe19oCKOc4aCZOLtfXJIb7P2\nTDwihzdXToUxUr42cBDumfFSJHISsSdSFRAyJbmXGIn+X/qWPn2+w/3D4+a8CTECpaiz2fVEx15b\n0x6Ep6dnvHt3SxVLXtdUbaQesabsZtmqSWKbIcLMxZFXFer3rdaP4SVa9IwvFHxRZduQKFKhWvT5\nibwhALgwg+LT8zPmeUHYcYV1WTnxZOdwLlThXdYVVfpzNLjvEALd23WakEvB6XTSM/1yuWCaZ07q\nSMDEVVauDNJaO6MJYoHXxDgMKLVsevukFzSliD0HWBK0xBhV5iEGs92aZUdAGlx1hp91GAZdXzJO\nEpRvPh8CnnnciMF54HthG7ZmrIwKUKbkkpFaYuFtVz0CIXlUcJzP+dYsSbXpmWxWZXvZe2WIhK18\nj/cjaC9s92YAyUj4Z2yNiMxiTMomm3NWZIOOnTD4DoOu4UURR7Y+pHe/NUuE+2ru5ozoEu2bIM9M\nAWQDdA1btd72otgS2RU5i89nlaOYAih31bBlLN1K8pRKfp+3Q4JM6px/lFmYOgaPICkIgRLvir5q\n0H5vpUgPRn3ufTPyuSzUUp+8MTlaoWpo6pL6OXLPVMkWKvyKwsl2sWkxRuz2e2KVrXJ+rSilcD8x\nz+uyotSqNoDGPLIMTtVAmOaWiek0mUg+n+8xrK3qd8qzllqV3M36AvGTr59NsOUX0stqBxiWpA3m\n8NkAi8lCYmrW2nSyrvOMoe/x9u0bLd9erlfN8MjhIkrelp3kbARXrHwmX7LHYoSfLxc2NuYYCUSp\nFqPjfTlBUi0mcgqBAHBGmStI9PQEUaKvltcaMSBxhQoATuMRARnIZtACQ3+6rsOgDbGLZsCGZJnc\nWjPmuRjz3kCVgufzs26Ivu+YPcyyWQL9CjEorblQLAtk4u7+AafTCeNuxA+fPvHnEk6nE968udFx\nm6ZJ4aJyaOwPB/z5z3/Bt999pzpTu92I4/G0oSumCgll4lrwMDaiIdbMGC+a1gxKhNbYmW3qvAfO\n2N3cnDTjKWVlz5i5riuOopnElzitfi/GLiEEq6aJT7yuq2NFTCglaPApYymGQDKUAm8d+l6Dt5wJ\n4rUrRZt/je7fGniFeY7YpQQ2RMQcl/NFHYm+73E6Hgmy6SBXApuTS6hT5RBplQ6bw36PYZT1Rdm/\nwJUwug86WM+Xi76mh1wtmu1clgV5XTeH8jhQEDXNs8ueBoUWKHxnWcjQcwM0YI4PfYbvLhjhgt+n\nVPGCjmGtlTWILCu85owza/zQ81e0tsduN6rNKezMtGbV+cQJDmJG8k3IZA/kNXC1b5osiQSQcw2Y\nDIIcqlIZAqDO8TwvFryJ7pKWkyUzaMcB7UGlztB7m+cZrTWcTif6zb7HvCyYpkn3tcLzWtVqr8Cz\nC9PzApT0iJrgoGe9TjOOB6rClkBzeDmfSY+rFE36DL0wccZt43FratvpWUU/0L0FTR0iwBI8pRS1\nX5URBsGtJXE+CArKlQhmugqhbhImdD50WtlPKal2ZIWRGoQYdIxkrmn9VzuLAsGtO2GzBQdgDK9T\n6B952pvMeWuNCYN0Fnmue808ExxZIJg2UuSkGNSaWFdJP8wHti91cGojNtV5WfRw7oeeST1WTcDV\nWhEQsKyL6UB1Hc3tOOq9TNOM3X6HLiX97OV6xX6/19X55798j91uR0GPzHOtVCnoOkWmPD+fOQlq\nZ/WbNze4Xifc3d9rEN+zfQlczZU1sS4r8gtoZWAIrpiNNa+IgeDMEhzvOMnk/Rp9/7pqgOWZ+oz8\ngSG+or+WOiXokvu4Xq8EI+t7xGhIk1qo3UCZbcFwQJccbWhaJdrA2vge1NlkZMGW2dk9jxDURdey\nIRXgUomoh5NVND/E2ullHgChZef1JaicwOUsUIGvBYG02b0a7NqS6gr9c5pyP2YmtaBBA1VYMCy2\nqeNEmWgy6edqQ4O9phA5WHJcng2wKpxQvWvbSq08JiY/ZGQOCcFVCTUZ5BM8TbTsLJklMOd54e9h\nUh7fftCaJY18ojnFxMGGkVchUPXVxp2eylcKUxOiCrGvdm56dkqdN6Gb5/W3LKvem6AS+n7QwHVZ\nFkhLjcx1aw3LyoQWzldZ1pXn3pK+SDbfABH+CCmTJcKh69TGhNYxod1M5uenXq8EGa/X6/V6vV6v\n1+v1er1er9fr9Xq9Xv8G18+ksmV4VMFPIjjhTG5xri5jK5STWqLg94UYUFx2LzBs63KdNAO82+8U\nrqT05atAbcomo1RrwzgO6K6SLSL9mNPNjUIOBBsssBAARvARDI/tn1f+CGBoAgwyRn1bESwfQ4Kk\n/RbvL9nW3mmFXacLupQ4c20ROgkFViW0EChjQ9tUNiRL4ok8UkrcCyKioyyA3I36/DJvVLkQ+CLR\nsMt3/uY3/xUfP37Au3fvFAM+jiMeHh5wPp/x9u0b/R6D5gipwhm///23+Id/+i2++forAMBXX32F\nxCXiYTCNklwKiftuoGBhQ5NbS9Gs4DLxa5zxik44dV1WnM9nXC+T6VuVinEYfwxVkxQPX1ZS31Zs\nhNZbrrzmDTy0MmyBKJypinc8HhRPPzHxQ61U9hehTUAykZRFkjWxG0ecz2eUaloThTXcPKxj7AeC\n67geKKmkCZEDrbduk+3zvUZyIwHUWJpLxgjac5LtbaVgVuFEhnS6zLtoz1H1sepaCjES4E/hw5Er\nGK4qwBUaT/+dS9HM7UsdJA/x1CxhsIIPELSSDZiGUS7ZQbWo6rdmq3aldAA44y+vCea8teYotzOu\n04S+67Rita6ZCGS6pP1JNH7U0C99NvM84+OH95p9le+LMWi1DHDEATFAakACW9P+0iD4eeuVcENq\nKAKQRELXJZx6ggx2fY94ueJ8ueDp6Vm/r+9JONbTRvd9h3lelCCncuVh4PfScy06H4JO6Icep3Bk\n3SSpAHeIXaKeVSeS+xLV0QLBZLzuYGR4+KpVeKtgytNrtatW3Q9914MasY1IgWDAXCF2lQcAWPJq\n1c7WMEuzuUIxrJ9UoE7axxaC9WeBqqci5iq/S4LNBiXqhx4VVrELjU+VYCCsLIQ4Q4+ZK/MLV42n\nebHFH6jfbF2zVgzWsm56mQDuJ1y5N9HZAkEneAFksr92jomoaWL9GroX0qJ6Pl/U/u32O30m2Sdd\n9wbny8XRMdOVszuTGuEZSEzc1joa2Q2pOvdN6J2DQ50kvHt3Q3Bx7hOeF+od67teyTWk0i8QZPps\nVNiU3kslgeTUdRsyFBqvqjDtEKyiZLpFNJ6yb4Zx0D0sZ3XkSldrDRPf7zD0RFazrmh85vR8VhER\nl9xdUF9nW7XaEtIIRE3kaWi8M0P4ev2sQCN95aXrEtpK+12em6oalSnl+fvWjP1+p+fBmleu5EUi\nXqFfgBCceaQDQcOdxmTXGcTd+Vy1VjRfxWv87w2bKpNUxYwUjWH7gFbYG8if8CLp8l5foavV1om0\nOLTYNigJGeOcV91zu92oFUoPSZdnNI4A9iFaRSlSiTGfQ/cct06kLmkVX2Z4XmaMbHNojbh2FJi2\nqtelCtH1ycoQM9pMCeRWqoh2Xbc5lwhW7c5lrsLGEJQMpDUag8vlar1WXKkilMGs7wOvN7++loXa\nD2QvCmlK7zRm13WlVoDWLCAK4Z8ZY9b+DGEzZz/1+pkEW6ZvIo5WDNuStlyq/5GCQmSCKznWLGJt\nDKPhY2ZeZnW2uy6xKGhPBwxo8sHBksJB+Gwbx0Edn/P1glxY2CxpNMj9XRFJ4DtdVIY6L8wnZWgA\nCqkizLOUORvjYqt+13438EY1Z0KCH9JL8s3lRUkL5EohbpztGC1QVX0vBBWEk3GXAKPrug1DW+Ax\neQktQ2i60NdM/TXSx/Htt99xj1DB8zNBC7/7wx/x7vYW797d4re//T09636H63XC57s7NQaXyxXP\n57PCMv1v1trwwNpL0vy+rtnYkiL1g13mRcvatRbM80U3IkBws2U2sgmAWBuv1wnP57NCC/ue9URa\n014ZCvqK2qVSqrIiySxkUFDedR5G2FSYVl4rheaQdGPE8DFOmfHcMicmRmiBZavbA1KgkFQ2N0bJ\n1LOGmga+A4s3J3UkwE4TkRPwSyB9M1k3Q9cbc9FiY7nf7xAQcJ0IRtWlhNRF3gNubUpzrBJwRHIa\na1VHiliWekeSAWa1o3ETRqLaSOQ4IOmBFuDgJQLtTE0DUzkkSWdrK+LYXuyHyjCNGJM273siCk1m\nMFRmXbP2CqHRfqqtqi2Rw6fBggwJxqWxV67DnvrahFWq1SP2+/2m34vgbR0HMexcxR5NbBDPISUK\njFGMes54DTp4jGjZ+L67xuKdvu/ozZsbpK7ThuvWGtZSkPNsEExmu6T+RHOGcs64XieM7ES/u70l\nhrdlVTgIEZp0iMvi9Px67ak1SBvBNMVhBVhMvXqdFQpwAv+3rC/AayVyD2POKGtGEvH6YmxVXjQb\nrWzgsbVW5NI2/ROJ53pZVvSDOU3EAmYHu8C8SOeMfiJFZphsgNeeyoWZe5nxbBxHHA9HdVQKP3do\nwSVQhA2waUJqnhfM88xrxKCF3OlRCAAAIABJREFUy0LBosCl7+7ucL1etzYMBocd2F51yXTsvKj9\nMA4OzA0ABOO/Xq50/oL2PwXHFqj2fa9acfL5NWc8n8/6/btxxOV6hWcFjUIawEG9zJsIWIuQMPWs\nGJRfrv1uh74f9BzKJalN9utAIPNidoUMJzJMDHBrNEZNEIUQNelnwuG0N0UzCRC4XdoE7o2DFO27\nKeQIUy+5Ywp8AXOyxIz1DsHBqv1ejwzd8+yGArfyjH/+M/LnwlqDCstrDbvdjnvH7Z4EmjYkCl5M\nR9NB7VizScmWuF1Be1RhyWK7b+i4CNOqfx8lKhzJR4hosCSi7M2u73UO18X6dYoLrkKMSM3SVBSU\nCNO0Gzv5k2+PINkvIHXioynp20oBOoLC6KQXM7wYc5kbMRytuR5/vVm9bQ1AxWcI2PbdU7LCgg0V\nYK9GLoTASajmGLADrW0Zy8vlgsvlsumbFzijD+hJlJxgi7IXA8g3JzZhBy0lw6/7OjQ7x2b2Qwa2\nSdnDwxOdX55lmJjE5UwT+D35dLL3aIw5kHyxhn/q9fMItlxglWJEATlNKVizWuNqVXIN3Cs3jPfR\nEUS8iMYlnxmTN2hsdEvRalfqiWHM440Jhxu3r3EErSLAMAE3atC0wA+tMe27Va3Itrh+ngCgNr1l\nyabktWpAFVPEbjduaLzH8T1iiJwhoIW03++wY+fugUV47+8f+N494yH3nzRoZa9LHWKgTSDOgGTN\nu67TLGPXdTidjtq7xdOHELpNFkgcZunZevf+FiEE3N3d28GfOjw+PhFbFH/ucrngdDrhF998o872\n7373e0zThMPhgEfOnn/11ZfY7w+OgYw26/U64Zl7jgBqfr6cLxz4SqYlY1kJ9ysBggiELvOih6E1\nWlqV4dhTcJS9IyXVRMX7ho3jJdM8jCziy/fW9z0OhwP6vnO9aDuEKP1BZoQeHh9x2O+M8a1UhJC1\nWZTGM2kGx/cJ7nY7tFbVoe/6HuAsu4y7ZkijVXvzyokBZ0ilP0N7Z4Zeez2k0pk6Fpd1jbmFqWlL\nKZvDULJKYrrkwPB49zQMCIBmLvmNbJxNENiY36w/S2yLd/KTC540AEdBZeZBn8n0AsbUv9GjYa9V\ngWmeaXwc4YLQcYs4KWBi7V3336b+BShD3WrT9UhzEvU+JHjTAwd2MAOBqwXmcIQQkGsGHDUvOUt2\nyIMrJ5KsALjhurLNcN8l5BD+fc/nMx4eHrU/STLWIQRlAAU7C+M4qsMqznFKSR31kR1c+m5LQCEY\ncQBAlYlagzai81Tr/fmxY2CE3gcVN3wZOrCIrNm+y1WkAzoX4FgfgieJIYH15s4N+h1gG9DVKmLw\nvj8vMvmFZaP7fuDqqTWEr1l6/jh44WCosSi0XLvdqEnF9XIhhtgQgLxN0vjK5rIsJI1Rijp060LE\nO/O84OmZyFByKbi5MQppeS6aZxP/lIqt7+0MfFZ5+u9aK5Ap4JLABwDbQiNX+vTpDsPYvyA/sN+V\n+ZCqi2XYyaGOKaLzQQ+T0pj9FlppswcxSt/JqtXZg0vEZq2KJrLB1foJpXG/+SpjiCB0jkk/iIir\n9BUDwG7cIcawodz3gbhc0k9mJBgRMW3tSWaH0tt5Qk0wSUI0u4HQGH0BHScRk/U9W+IP+IShECIo\ng16jyo84pwAQuN8TMDtNBEqSu2TfpFAFHL2J0cuXVufgitiv7SU6f3xwUNYVQEB1/ZRK+OHY86QK\n5/Ksrvpa9R5K4eRFAJZi52VrQiIhvxGRJM3q/bpKiT9dEzGibvqfTdx7w/Yo/qZStQf1iXUOgwQu\n5LcClGSXPlkNNpmAq7pkTgAHao5Iwmy9dbsL+x8R93CydRyAESSkzt/3/HwmXgSZr8DJJq7u0sBB\nx3SLptj2k1FCrqAEIzMDImKigDk6mytrXfzhzFXUlBJW1zsovXc+YWiJSH7fwgQyPgDm/sHo+gz/\nuYLQf+v6eQRbzqEpORuFuUTlBQSPCBZHySR1DkanG9/pVtFmtoMQICNYWkVeihpSYS2jjIaVDQdu\nwtbAIlpDsBj6jgO37SMZA57PlMfosj21IDSg691rzFZzOOw1wBmGHstM2liHw4F+syPa76+/+gLv\nP7yjewsRJWc8Pj1hYcN21ypKLtjt7fvEaHVdp88gfx9HDw8MTI4QlfFvv9+pg/3u3S0Agn5QZcCs\nKzmX24ZrYXaS71+50XoYB63OiDOgByco8yAwBcna/v733+Hp6RmlGAtWa+SQ+wbu1hqxLeXV2K24\nGhJc5jUAjlrUGOrki5WONxQ12PJscqhJVe90c8T+sMc4DAp7EePVd506QwBlZNecNSg9X87qkPmM\nyn632zQrK5NUzlZlGocfNQATW2XCdVo0e/zmzQ0fOFtNNZJMsCqL0FfzN+nYDVwVhvsnr+OWc6bg\nKNhz+gpR4XGTzCftVQ4sMx0CL7VQhLlIDqpcqzpMxR1MIQRysPjQGlhjozpDT/pPQMu+SZh0kbwj\nQUxxnZKMNDB8LecNbXLf90CDVgCGYXTQQnZomVHvzZs3eqCJQxs068L/nxtxxfGPIWCeF8puO0IX\ng9uK80qQkWEYdN6EfcsfCuKkaVY0WqP9pioaAASTIBCioNTZOpymWYk6xDYVhulerpPuzd1+h+OR\nkjRKCBHIudzvxg1RDYKQbBR9hr7vN9l+qQhW+QzfuyAiNsGWcwSFDrg1/55ADejRNKBUP6taMGPw\nruDOK0rudY5REOx85cWSCJKI85Vzeg76foWzM+sWVXYZusxQRk+uIBTPtVZlaIwx4ng8anUAIGp+\nH7hP04S+77E/7HFk1MH5csFv/us/YL/f21wz42AMljRZV6om+T0ijtwg1Tg4ApoQ9NwQaGEfwsaR\npUSVEfAAlNC4Xn21y4IzeX5CW2xh9XJffv/2qdtoABI6JKj9o3m1BI3B3ohUY6mrBoLCYLZh8uP9\nRplwIz4RCJfsaxp/co67F/Bl+YwsHpF+8NVDX3WUzxHU2p41wKC5/KaNjZfxlbPLCCUC22LHwA5L\nBryE5PuLqmx0nhpBkDAwe1RPQG3CUkefzcW06eRrCfq1Jb16uWeg42EVdtH0TNGqJ6Lh5mUt5NmT\nS6BvkwI2XzEl1Gz+xTAOZHcdQUYplsQWO0xVWPEPtwkYOp/0b2jNHHwiQaPf7aNJXNTagOgSXArh\nixu/mSpqfpQocbosCwZOYC3ronbFTSJXzeEQUUGhtpZEJJs5DL36CPNMrJi1VQydJRtqsQBXnt8n\nUGtraJwsVTvMRGuEDBA7v2j1V58qUFKxS8mCI9aDpEDN7MI0z0zKZP67BLxF/ZVVkyuq4dYrd/8m\n2UGJAUBaHP419a1XgozX6/V6vV6v1+v1er1er9fr9Xq9Xq9/g+vnUdkCtAQZU0Rs3PwujfQxIDbK\nsEjFirK8JOTn8j2AYu9ffLGrRCAYsmThPotSqWmO1Oota73b71RfBGA6dKZ5l2qX6AeUaiVRxZwG\nIDG9emBstmQZpMITU0TfWSYHaJss4zRNCDFgv9/h3S0RSYy7Eb/45mt8/fVXmun4/PkOn+/ugacn\n7ZX6m7/5dywABwfz6lSLxmdBu5RIPJh/eFkWNL5PyQxIxQYuCyKl6lIrJoYSSQ+Ab5CP3D/lm5qJ\nWMOWwTxNSDFif9grznYcBxz2+w1d893dHUEkYRA4gcwI0QlNNZV9PVRjv9tjGIhKdCf6YYxD9lXK\nEALRNdfqMpD8Xc3000oj2Ntf/dWvAACn0xH39w9EWe7EFmtr+HT5rPPfdQlPT08beJRozPzlL3/G\n4UiVgq+/+pKybLW66hwRZAzjsO0LqLRGPcyj1spN3dxn1FGFJF+tsXfUpmtXoW1C2GIZWsmeCpUy\naYBtCSc0h+wKyiFIZrpqNrOEoGMr2aO+32pzyRoJwIYmN3Imd7OvAc2CKR67SwA38UvlUqjPfX/m\nOI5aLZCqsMDlJFO2LCvD9KLLRgadsyT7i+UWltUobFOXgAbcPzxsILnLupKWDD/ruoieWKcVaOkt\ngIe/Na60ucxv0apN04Z4/bvP+HNW31cEpcdG8O6lZPT9sKnCaqVvzQrVfXx+ZmjkqvDI1BHNez8Y\nUcf1csX5+Yy3b95o39k4jhiGgXtUef4C2ZM1Z9d7kxRWq8QUUuVtbfNZhZNIxndT4RJ4JFEGC5yJ\n4EGEhsgi+xAYrlMN0kPEIxVLMZIbGd9ltWo69TZQBUPOkvPlqgLkMq+5UAU4MiW6zEVAYJig9WgM\n47DRLZP1CYB1AE2aQCF+tXJPqGXiSb+PKmKS7Z+WSfuzpGJdalWCkpntNcFge5zPFz1LTscThoF0\nC6Pb7LR3bF5rpYzzMPQKEzWyq+AqIJZF1p6trufxCUYaw9VgWdNS6fIEV6JnJRBOWjdxU5UCoPaN\nkAP09ctiFS2ZB4Hu0X3J73rKdBadTYS28VCtlLiS4vah348CS5T2BI+csPniChPDyjzUPPD31dYQ\npZ+sSw7OvkWY+N+Xf/ewPxlk6oO0e5MzXL6jYxKVFirqFtxjxAmQXnyZWbFhAS20DbLJyBes4rWu\ntDbFHmSHfhK/JIJQKi1tq2n0FD+uxnn4mlRhmjvTUyLkUAxBW02WlUmeABSGEabUadU2ONukcyM0\n7CuLCwenvbgRH5ZqMo2ZakBxyamWtqkwQvtL5dkI1SAi9gCwXm2vn1lnTZxfD78vrE0XY9Lnkj42\nj3wqlaB3C4ulA0a4EkK0syIEnG5OG2kcuV+BSSqCwZ19svmoymw9jLkUpls3iKXIzdgaJkj5si4m\nLt0bZNmj33LOKDFYD3cIXI1MzjYUhxzh9STVcK4E/muvn02wJX0HuRZkFvAN3IslDaStNUSJlyIt\nmurgSYKdTWELi6ncTKrEFwAQA1Iwp6zUgjwV7HbQ9VtqVV0QrwMivyeb8OZ0JChIq3pACESPAhpx\n8kz4Tu4tBPuT3hMVLrVjY//Fxw/sQABffvwIAPjlL77B119/iVIrvv/+B72f3W5AYhgiAHxz+xWk\n8VHJABq0FCy9CTc3J8QYcb0a817gBZl2I25v38pNox+od0yMhThVl8tVD+sYwsaxeHNzwuU64f7+\nXudmXcWhCHp4Hw57JNZfkmd4fOy11G89RtQDNAy9Br3D0LOznTbzkCIxQ3nYX6mF9KbEIFdrOD0M\nUsKng3ocR4UICma7FutRGseRcPY8br/7fIfn8zNKLjhywPTFFx9x2h+I6ICN0sPDI86XCz5+eL9p\nfu77Dre3twpPuFyuGygRAHXuBhYPBvgQKoWDHFtoqUu4OdzgxE5ZrRVFDFsyoylsjkoukiKWpaHU\njE514LpNvxCNMTmIkhyh5mBytMyhkQSEvc8w44CW7BOxJHnxx1oqkhCCOLguadiZLlzfdxwYNXVe\npD+BkgiGb0/sCEiyJYTIrJvZGCRBDrjCSBhS7KEV0zShXq7YjaNCTXMpOB6Ibaw4D6SUguk6qYDp\nzc0J40iMkrWIg8yMVSmZ6j2YdXQD/YkKU1amvRgJ1++CYwSD9fnDKgDu7017ghRWCRbtdpC5xvtZ\noBiAwUg6dygLMUKXOl2by7Licr1iGAfctJOukyv3bYkTfTjs6XdKQejYzg4DqDdp1XXiYWchOQhm\naxu7I/teHYFG5EWeyS2XoppdJujtxovX+uPTMy6XK1KKePPmDX+dsYHJub/kBY2Ztrx+4PP5soHH\n+vus7nwZhgH90GtyQB4uDSYKWkq1gEyTg5QEkP0w7kadC1lzgaF962oJxJQ6TNOE33/7rQZu+/2e\nIf1GGiC2z8ODggiYO2fIQ8F9YJE4mZfc2SzBkcKyOHkzDgPAWm6XyxXjuHsBLU8bXUNyjLaabZmh\nRTFG9IPZb+mHkjWX1WbCXXZvydlmcRIFFBSC9RJ5trgqzfbqCxKcrzh/xcPj5Flkj4foIXKSYGKb\nTW20fCsCBWaHvBQEF0wJ9NfGl4I2IQCg+xBtpuDuiQRsq0+08fhQ4kbWhGh+mUaTJM/ofXImcDKk\n2X6KgSCdxQWIiEz48yIQ9U65CJ576HrDlkkRYBvaKCtlDj2dGySey5DRvuPe4S0ZCBr5o1ET/ALt\nNNKEzImXLnWu98j6uIpLfFBiuWkQ4u2xjluOGhDQbyYlpTDB5agBk9icnlnyPGQSgLZZyPtMk9LG\nqe975Bw0qKV7c4EPXykYEZUk1iSgJkIwKxikaPvm+ekZ8zxvgh/p3/Z7v7aGvDK470VCAg4aTrYk\nYuZEpfym978BMOFXp/dHY02fpRaX7TNI0Ky/q3FF+5df+4nXzyPYCtZjJY3swnoGwAwWGxQAaOKU\nRJcBouYRropZNpjo4M2wCROKDDwgDXwF13l2woYJd/f3uLm5wQ1Xih6engjLmjNuOBj68ssvSNxz\nNsZDccyGvlenUaonsrhiDNzoC33WlBLevLlBKQW3XMX66ssvtbr2lrPCt+9uUWrF3d09Hp+ogbnv\nO+3HeXwkgozLdcY4Dvjyqy+0ovLp82e0BlyvEy4X6hU6HPYYxxGXy0Uboj9+/MgHflOmsWEYlFxB\nArDCjdUp2QHWAN7kYtAr08RC2e5ON0dcL3SAG5VsQdf12I07pYP/4dNnxBhxOp02dNhd11HFhz9L\nDf6UUTIikUGz9mIgP336jB9++IS+N7KCoe9xvH3L2HM5rMg4bYg/+LumycQ+JVCpiebwiD1qLfh8\nd6fY5mVe9D5k/nfcH0e9R7JcaT3f3BzVQEiWhcbTDl4JuIoEr9IrlbM6/sK8uRtHk1dono2Pfnie\nFx0jXymJKeIw7DdEGoUzTQDN5cwi2b6pVdgZhWVKskRb40T1ZVWc52fVIKOaoW2V6Ho9bl2ZpdTw\nmQMnYyx9g+NuxMJViyrMa/6zyHQPwedBmTLbHRAS9BlpBjmz1+aO2hgxzzNXwsyhoWpfw2euyF6m\nCe/f3WLgdUtj1yN1EnhKQ3Tjw3vbEFyZwMKq6IHXQFCGuvgiUyqfzdmISkS0mogenJ1MLAjMDyb7\nN4akVOWalXWOYxVnC4BQb3V9h6EMaLVZL06MWOaZfpu/5+HxCbtxxOAOZu1Pcs8fuWpUmIoeIHHK\nFCM6VxX0jKry8NdpwnSddF73O0qAhGK9bbkURJB8hWSK84UE3kspWvXZjSMOxwNag9rclfclJXrM\n8SWJg6okN1oBXRaMygBKjiMRJVgWWM6OJoXGQGM/joOuRUo+ZLV9IQRM07Sp6p5uTgAHn58+fQZA\n58Y3X3+1qaZNE4mFUyAsSIxeq+SyTuaFgu3BB2EcFBEttKt2cwVIkn55XRntYX0bvuoqzy+VUB9I\npZToeZsFB1Jl9wGZVHQ9KYm8bvT9kcVTTSS154pgznnjmRqZwosyDqx6VIXdLZjQMd2bEHWZXaNN\n4oPXCLSqyBv5zU3fZWyWkNoEGE3fD5A9zDVDiDjkRV/B0dtoQuBl37eyUK0y2nHykXq2JaClikBt\nZjtaI//MBzkxCAtqwIbSvhQKvoQwoVoQJGNJ0jhhQ2jQdx0FTnJGtKY05CoF0az/UYY88poM1QKG\nZVnQ9wNSsqRMKVXJFSwoJQIln4jpu4hcMuZlgScgE8SG7AlfXTbGv8C2zVA41HNnBFvaRxSc9I/z\nH6WfUgJ838PcJWLEbKtVotZMtqnvBiWbEUH2TeDDa7hZaxtqYRbMTY+lMU/LJUHgkXt4ayFylJwL\nxIBJFbZlt4940XtJIkVdhKAkQsqy6irbQtJV3DhTFc4YfWWcXgbv3l+w0i5XoelFfY32nCPRwk+/\nfh7BFiw7SxkAoSY23YqcMzcj0/tbA0Jr6GALxOBitgllsqiBVmB/nTJ+KUGGMAn1ni2KMuL7/c5R\nDncGh3JG4fHxEX3f68FA1M0TUaDCeP/FwND3B31dIA+73Yj9bmcGBbSY97sR4ziqk3O+nJHXVRnA\nAFrUQ9/jF7/4WlnL/r//8hs1AhLkHI8Huq/OoDRPT084HPbYH3Yo33v2la2+WXIwjNllaMQoCRxm\nWSmoVP2gnAE0rgDRBkiRGiLRrMIih1Fz0L1vvv4KN6cTBxxC9Ttg3O3QHGxmmmakLmE37rRp/PPn\ne6wrOQQSHB6PFMg8Pz+r83Y6HvHu3Vsl7QBIk2Zdl03WamWooTcuy0LUyQLJPBwOGHqCPioFd99R\nEysMYioaGmQI7fvXaQWaOYipSw6G4LL9HAhIYLWuGafjgSARECNE47PmjH2kNTGmxFIHQZnhpnlG\nCpGbgOm5JMAuxaiBjS5ZMkUEA43RnAGZvxCMQWkYeuSVdKc8xXKtlEFUMhxXulfIIDsDuRQEl3kK\nDIkwBtCiyQzfdNs4myhrvRXa+0PfwyszVc4qe0mHWp2jzsaWxtQgIw1UadxzJbah4fly0cMToANL\nwjhZ69frhE/tDh8/fNjAedd1YeYmC6xjYJIaSSy5aoOcDwLz6ByM1Jg+PYw6bKsmEMekbB28GCEs\naoA4gk1ZymT+6GXLgCeG5HmIcIyRbFywtfPmzRt1/mSur9crRq6USeVpWYnZNcWkYzfPC0Kkcbi/\nP+t8pUiBoFbY2REs7vB+enrGw+MjeqF0XzM7OEkZ5WKKWKYZOZ/VAb9OExoCYjL2wOfzBefrdeOU\nyfot1dYJETdFhXsBjtlzN7qgjGCOy7I42G+HlrPSx8tF7LTHTSBxCkedw8vlglIKDoeDgyVVTVJ9\n/PhB515ht+7Mlf/JDhENHJ98igz7aq23ygY7h1YxMYhjxTYwb61tSE5iMEKH4t4n75WLnHTbvWR7\nImLcvkcv50xppdclboSkw7R8yKGr7nu20D4Zr8hry5gMoXvdKg8A28cGTQ7KmHqHTe1mSu5ZmGVu\nk3WnyjvUzvNaGgcb3+pIiVxgKcGmPCu4WkP7d3M3oPPfsvhCTqB+WBX4vquyceCdOfEDQNc3fDWK\nq38xWoKrOvIRentDit0GkokmbKcWzInuaq3VZISKJOTd+boWlDKr9I88F+ldlW1FrWSo2Clk/skf\nk31NZA5548PI6635dpKgY24V87YJSBVx0/d6bkp1lnwO06eT4MKSDx2TqpiPNPO63u12yk4trTLL\nurrAoiA02tticyUhG4qRnKWYeL274ASUXFq6Bfu059+gYFyJy9AUMu9JWWKMRKbizrLE53XSRKOd\nyzbXJA2SUoQwe3Mqc0Oi9M+RQ8nvyJwBokPbuE1F4LG0r301C5ww2yQ4Xnz3v3S9EmS8Xq/X6/V6\nvV6v1+v1er1er9fr9Xr9G1w/i8oWQQcpQlzLitIaxiFtytLjbkA/mJBuDJFETOs24nVfav/dKNMi\n1QjJxvkMimS6goM0AtCM1/v3RK/+4cMHxBRxvlzwl++/B8D409pQnp8xzdwD9eaGoITR1LZrKdTf\noArXnAVNpqre9wRbGVyE/vD4iL5/j1Qy1vOqzyQlcm0EjQQjqlfrAXv//p2KEgt8R0rhwzhoJvd8\nuWhTumQkrtOE/X6Hvut17GQ8QrB+F8kwphQVXhMY+iWVty51mOYF87woBIMyG1Q12XVcFdrvsa4r\nPt/daZXseDzi7Zs3OJ/PWk27XidM06wEAwDwpz//Bdfpiq++/FKfq+8Shv6A/X6vGZ9WF3Qp4Xg4\naPY4xoiHh8eN1lBgbPaaV0cJ2qtWls/I9K5BPASq5BwOex3zdV0ROIO8lB9DUDRp1ypVKF2FaeGe\nwb7vtAIy8l6orSnhSOKKW4MlraTsTTAZochvVi0uohfTcT+F7Ynj8YjHx0eqinFFSypCO9d8nlLC\nNE0KmdTqZ4PCMlqjfsUQTJia/s6wHJc9lnytjcmPhgtCcezV7LXC5TPHoN/oewf9A0GZhChBxkQg\nSJKhDgxVENDHPC+aKfWVztZIO+elplZ0tkSz8q0peU0IQSGYk5JyOEgV/26HhNCxLES0e2uVNENk\nnZRc0bPIqLxv3I2Yp5nFb0W3ULK8bEs4I77JPCZXfXEVuZgSpuukUgX0W9Rf6ysPIVClyL/WWts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ttDXezH8vUIgU2Cm14D0IjHtxg9Qr5L5wqIsdOuBT2Torxp350R/pf4WMmIdinZ+RneLCbb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t92O+iB\nY88uFxLpmuH1bBkrO+X3KEvGjGfTjHDJTk6moMUwDH749SeOMO+jVgt2xkkOs2VxKJhXw5sdQClJ\nZecx9MAxWFpwENhaYa+eKeWejkFfh1dhLAiCwvZCNjClhPP5hEicFvUlP2xzkbU8TbPaNbGls8Jc\nvv5dr7oTMnaAx+X8lRNJKf/4rAkJqRyrQjlnrR575aH3bPNgMMI99JphAK7VcMlUHzOjrH5pyfXg\n1CUwUeM2opSCVDRYpRKpwjQv1wv2KwOLAad5wqvz3QH2zswrk1njOCElr3ravOIosxwTbQatVFik
gitextract_f5zw2qvs/ ├── .github/ │ └── FUNDING.yml ├── .gitignore ├── Demo.ipynb ├── LICENSE ├── README.rst ├── img/ │ ├── MUL-PanSharpen_AOI_4_Shanghai_img6917.tif │ └── RGB-PanSharpen_AOI_4_Shanghai_img6917.tif ├── models/ │ ├── __init__.py │ └── ternausnet2.py ├── modules/ │ ├── __init__.py │ ├── bn.py │ ├── functions.py │ ├── misc.py │ ├── residual.py │ ├── src/ │ │ ├── common.h │ │ ├── inplace_abn.cpp │ │ ├── inplace_abn.h │ │ ├── inplace_abn_cpu.cpp │ │ └── inplace_abn_cuda.cu │ └── wider_resnet.py └── setup.cfg
SYMBOL INDEX (69 symbols across 9 files)
FILE: models/ternausnet2.py
function conv3x3 (line 16) | def conv3x3(in_, out):
class ConvRelu (line 20) | class ConvRelu(nn.Module):
method __init__ (line 21) | def __init__(self, in_, out):
method forward (line 26) | def forward(self, x):
class DecoderBlock (line 32) | class DecoderBlock(nn.Module):
method __init__ (line 37) | def __init__(self, in_channels, middle_channels, out_channels, is_deco...
method forward (line 55) | def forward(self, x):
class TernausNetV2 (line 59) | class TernausNetV2(nn.Module):
method __init__ (line 62) | def __init__(self, num_classes=1, num_filters=32, is_deconv=False, num...
method forward (line 99) | def forward(self, x):
FILE: modules/bn.py
class ABN (line 12) | class ABN(nn.Module):
method __init__ (line 18) | def __init__(self, num_features, eps=1e-5, momentum=0.1, affine=True, ...
method reset_parameters (line 53) | def reset_parameters(self):
method forward (line 60) | def forward(self, x):
method __repr__ (line 73) | def __repr__(self):
class InPlaceABN (line 83) | class InPlaceABN(ABN):
method __init__ (line 86) | def __init__(self, num_features, eps=1e-5, momentum=0.1, affine=True, ...
method forward (line 106) | def forward(self, x):
class InPlaceABNSync (line 111) | class InPlaceABNSync(ABN):
method __init__ (line 117) | def __init__(self, num_features, devices=None, eps=1e-5, momentum=0.1,...
method forward (line 146) | def forward(self, x):
method __repr__ (line 166) | def __repr__(self):
FILE: modules/functions.py
function _check (line 27) | def _check(fn, *args, **kwargs):
function _broadcast_shape (line 33) | def _broadcast_shape(x):
function _reduce (line 43) | def _reduce(x):
function _count_samples (line 51) | def _count_samples(x):
function _act_forward (line 59) | def _act_forward(ctx, x):
function _act_backward (line 68) | def _act_backward(ctx, x, dx):
class InPlaceABN (line 77) | class InPlaceABN(autograd.Function):
method forward (line 79) | def forward(ctx, x, weight, bias, running_mean, running_var,
method backward (line 119) | def backward(ctx, dz):
class InPlaceABNSync (line 140) | class InPlaceABNSync(autograd.Function):
method forward (line 142) | def forward(cls, ctx, x, weight, bias, running_mean, running_var,
method backward (line 205) | def backward(ctx, dz):
method _parse_extra (line 244) | def _parse_extra(ctx, extra):
FILE: modules/misc.py
class GlobalAvgPool2d (line 4) | class GlobalAvgPool2d(nn.Module):
method __init__ (line 5) | def __init__(self):
method forward (line 9) | def forward(self, inputs):
FILE: modules/residual.py
class IdentityResidualBlock (line 9) | class IdentityResidualBlock(nn.Module):
method __init__ (line 10) | def __init__(self,
method forward (line 78) | def forward(self, x):
FILE: modules/src/common.h
function __device__ (line 14) | __device__ Pair() {}
function __device__ (line 15) | __device__ Pair(T _v1, T _v2) : v1(_v1), v2(_v2) {}
function __device__ (line 16) | __device__ Pair(T v) : v1(v), v2(v) {}
function __device__ (line 17) | __device__ Pair(int v) : v1(v), v2(v) {}
function getMSB (line 38) | int getMSB(int val) { return 31 - __clz(val); }
function getNumThreads (line 40) | static int getNumThreads(int nElem) {
FILE: modules/src/inplace_abn.cpp
function mean_var (line 7) | std::vector<at::Tensor> mean_var(at::Tensor x) {
function forward (line 15) | at::Tensor forward(at::Tensor x, at::Tensor mean, at::Tensor var, at::Te...
function edz_eydz (line 24) | std::vector<at::Tensor> edz_eydz(at::Tensor z, at::Tensor dz, at::Tensor...
function backward (line 33) | std::vector<at::Tensor> backward(at::Tensor z, at::Tensor dz, at::Tensor...
function leaky_relu_forward (line 42) | void leaky_relu_forward(at::Tensor z, float slope) {
function leaky_relu_backward (line 46) | void leaky_relu_backward(at::Tensor z, at::Tensor dz, float slope) {
function elu_forward (line 54) | void elu_forward(at::Tensor z) {
function elu_backward (line 58) | void elu_backward(at::Tensor z, at::Tensor dz) {
function PYBIND11_MODULE (line 66) | PYBIND11_MODULE(TORCH_EXTENSION_NAME, m) {
FILE: modules/src/inplace_abn_cpu.cpp
function reduce_sum (line 7) | at::Tensor reduce_sum(at::Tensor x) {
function broadcast_to (line 16) | at::Tensor broadcast_to(at::Tensor v, at::Tensor x) {
function count (line 28) | int64_t count(at::Tensor x) {
function invert_affine (line 36) | at::Tensor invert_affine(at::Tensor z, at::Tensor weight, at::Tensor bia...
function mean_var_cpu (line 44) | std::vector<at::Tensor> mean_var_cpu(at::Tensor x) {
function forward_cpu (line 53) | at::Tensor forward_cpu(at::Tensor x, at::Tensor mean, at::Tensor var, at...
function edz_eydz_cpu (line 65) | std::vector<at::Tensor> edz_eydz_cpu(at::Tensor z, at::Tensor dz, at::Te...
function backward_cpu (line 74) | std::vector<at::Tensor> backward_cpu(at::Tensor z, at::Tensor dz, at::Te...
function leaky_relu_backward_cpu (line 92) | void leaky_relu_backward_cpu(at::Tensor z, at::Tensor dz, float slope) {
function elu_backward_cpu (line 107) | void elu_backward_cpu(at::Tensor z, at::Tensor dz) {
FILE: modules/wider_resnet.py
class WiderResNet (line 11) | class WiderResNet(nn.Module):
method __init__ (line 12) | def __init__(self,
method forward (line 67) | def forward(self, img):
Condensed preview — 21 files, each showing path, character count, and a content snippet. Download the .json file or copy for the full structured content (1,161K chars).
[
{
"path": ".github/FUNDING.yml",
"chars": 678,
"preview": "# These are supported funding model platforms\n\ngithub: # Replace with up to 4 GitHub Sponsors-enabled usernames e.g., [u"
},
{
"path": ".gitignore",
"chars": 1203,
"preview": "# Byte-compiled / optimized / DLL files\n__pycache__/\n*.py[cod]\n*$py.class\n\n# C extensions\n*.so\n\n# Distribution / packagi"
},
{
"path": "Demo.ipynb",
"chars": 1087678,
"preview": "{\n \"cells\": [\n {\n \"cell_type\": \"code\",\n \"execution_count\": 1,\n \"metadata\": {},\n \"outputs\": [],\n \"source\": [\n "
},
{
"path": "LICENSE",
"chars": 1601,
"preview": "\nBSD 3-Clause License\n\nCopyright (c) 2017, mapillary\nCopyright (c) 2018, Vladimir Iglovikov, Selim Seferbekov, Alexander"
},
{
"path": "README.rst",
"chars": 5341,
"preview": "===================================================================\nTernausNetV2: Fully Convolutional Network for Instan"
},
{
"path": "models/__init__.py",
"chars": 0,
"preview": ""
},
{
"path": "models/ternausnet2.py",
"chars": 4099,
"preview": "\"\"\"The network definition that was used for a second place solution at the DeepGlobe Building Detection challenge.\"\"\"\n\ni"
},
{
"path": "modules/__init__.py",
"chars": 0,
"preview": ""
},
{
"path": "modules/bn.py",
"chars": 6868,
"preview": "\"\"\"Adapted from https://github.com/mapillary/inplace_abn .\"\"\"\n\nimport torch\nfrom torch import nn\nfrom torch.nn import fu"
},
{
"path": "modules/functions.py",
"chars": 8661,
"preview": "\"\"\"Adaptation from https://github.com/mapillary/inplace_abn .\"\"\"\n\nfrom os import path\n\nfrom torch import autograd\nfrom t"
},
{
"path": "modules/misc.py",
"chars": 335,
"preview": "from torch import nn\n\n\nclass GlobalAvgPool2d(nn.Module):\n def __init__(self):\n \"\"\"Global average pooling over "
},
{
"path": "modules/residual.py",
"chars": 3560,
"preview": "from __future__ import absolute_import\nfrom collections import OrderedDict\n\nfrom torch import nn\n\nfrom .bn import ABN\n\n\n"
},
{
"path": "modules/src/common.h",
"chars": 2692,
"preview": "#pragma once\n\n#include <cuda_runtime_api.h>\n\n/*\n * General settings\n */\nconst int WARP_SIZE = 32;\nconst int MAX_BLOCK_SI"
},
{
"path": "modules/src/inplace_abn.cpp",
"chars": 2398,
"preview": "#include <torch/torch.h>\n\n#include <vector>\n\n#include \"inplace_abn.h\"\n\nstd::vector<at::Tensor> mean_var(at::Tensor x) {\n"
},
{
"path": "modules/src/inplace_abn.h",
"chars": 1484,
"preview": "#pragma once\n\n#include <ATen/ATen.h>\n\n#include <vector>\n\nstd::vector<at::Tensor> mean_var_cpu(at::Tensor x);\nstd::vector"
},
{
"path": "modules/src/inplace_abn_cpu.cpp",
"chars": 3309,
"preview": "#include <ATen/ATen.h>\n\n#include <vector>\n\n#include \"inplace_abn.h\"\n\nat::Tensor reduce_sum(at::Tensor x) {\n if (x.ndime"
},
{
"path": "modules/src/inplace_abn_cuda.cu",
"chars": 9966,
"preview": "#include <ATen/ATen.h>\n\n#include <thrust/device_ptr.h>\n#include <thrust/transform.h>\n\n#include <vector>\n\n#include \"commo"
},
{
"path": "modules/wider_resnet.py",
"chars": 2783,
"preview": "\"\"\"Adaptation from https://github.com/mapillary/inplace_abn .\"\"\"\n\nfrom collections import OrderedDict\nimport torch.nn as"
},
{
"path": "setup.cfg",
"chars": 141,
"preview": "[flake8]\nformat = pylint\nexclude = .git,__pycache__,.idea\nmax-complexity = 15\nmax-line-length = 120\ndoctests = True\nigno"
}
]
// ... and 2 more files (download for full content)
About this extraction
This page contains the full source code of the ternaus/TernausNetV2 GitHub repository, extracted and formatted as plain text for AI agents and large language models (LLMs). The extraction includes 21 files (1.1 MB), approximately 748.5k tokens, and a symbol index with 69 extracted functions, classes, methods, constants, and types. Use this with OpenClaw, Claude, ChatGPT, Cursor, Windsurf, or any other AI tool that accepts text input. You can copy the full output to your clipboard or download it as a .txt file.
Extracted by GitExtract — free GitHub repo to text converter for AI. Built by Nikandr Surkov.