{"cells":[{"metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true},"cell_type":"code","source":"import os\nimport sys\nimport random\nimport warnings\n\nimport numpy as np\nimport pandas as pd\n\nimport matplotlib.pyplot as plt\nfrom tqdm import tqdm\nfrom skimage.io import imread, imshow, imread_collection, concatenate_images\nfrom skimage.transform import resize\nfrom skimage.morphology import label\nimport cv2\n\nfrom keras.models import Model, load_model\nfrom keras.layers import Input\nfrom keras.layers.core import Dropout, Lambda\nfrom keras.layers.convolutional import Conv2D, Conv2DTranspose\nfrom keras.layers.pooling import MaxPooling2D\nfrom keras.layers.merge import concatenate\nfrom keras.callbacks import EarlyStopping, ModelCheckpoint\nfrom keras import backend as K\n\nimport tensorflow as tf","execution_count":null,"outputs":[]},{"metadata":{"_cell_guid":"79c7e3d0-c299-4dcb-8224-4455121ee9b0","collapsed":true,"_uuid":"d629ff2d2480ee46fbb7e2d37f6b5fab8052498a","trusted":false},"cell_type":"markdown","source":"## 1. Get the data "},{"metadata":{"trusted":true,"_uuid":"3881da757346586d41a6094ebe6ec7cc958cc226"},"cell_type":"code","source":"print(os.listdir(\"../input\"))","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"a393ecff66651491a020eaeb19c467cf98be206f"},"cell_type":"code","source":"TRAIN_PATH = '../input/data-science-bowl-2018/stage1_train/'\nTEST_PATH = '../input/data-science-bowl-2018/stage1_test/'\ntrain_ids = next(os.walk(TRAIN_PATH))[1]\ntest_ids = next(os.walk(TEST_PATH))[1]","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"3571f333c0dc390caf2b7985c2a9c70ae95d33d4"},"cell_type":"code","source":"# set image parameter\nIMG_WIDTH = 128\nIMG_HEIGHT = 128\nIMG_CHANNELS = 3\n\n# load X_train, y_train, X_test\nX_train = np.zeros((len(train_ids), IMG_HEIGHT, IMG_WIDTH, IMG_CHANNELS), dtype=np.uint8)\nY_train = np.zeros((len(train_ids), IMG_HEIGHT, IMG_WIDTH, 1), dtype=np.bool)\nsys.stdout.flush()\nfor n, id_ in tqdm(enumerate(train_ids), total=len(train_ids)):\n    path = TRAIN_PATH + id_\n    img = imread(path + '/images/' + id_ + '.png')[:,:,:IMG_CHANNELS]\n    img = resize(img, (IMG_HEIGHT, IMG_WIDTH), mode='constant', preserve_range=True)\n    X_train[n] = img\n    mask = np.zeros((IMG_HEIGHT, IMG_WIDTH, 1), dtype=np.bool)\n    for mask_file in next(os.walk(path + '/masks/'))[2]:\n        mask_ = imread(path + '/masks/' + mask_file)\n        mask_ = np.expand_dims(resize(mask_, (IMG_HEIGHT, IMG_WIDTH), mode='constant', \n                                      preserve_range=True), axis=-1)\n        mask = np.maximum(mask, mask_)\n    Y_train[n] = mask\n\n# Get and resize test images\nX_test = np.zeros((len(test_ids), IMG_HEIGHT, IMG_WIDTH, IMG_CHANNELS), dtype=np.uint8)\nsizes_test = []\nprint('Getting and resizing test images ... ')\nsys.stdout.flush()\nfor n, id_ in tqdm(enumerate(test_ids), total=len(test_ids)):\n    path = TEST_PATH + id_\n    img = imread(path + '/images/' + id_ + '.png')[:,:,:IMG_CHANNELS]\n    sizes_test.append([img.shape[0], img.shape[1]])\n    img = resize(img, (IMG_HEIGHT, IMG_WIDTH), mode='constant', preserve_range=True)\n    X_test[n] = img\n\nprint('Done!')","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"66796d5d07165234b4fff9e49af8b36cafde8637"},"cell_type":"code","source":"ix = random.randint(0, len(train_ids))\nim = cv2.cvtColor(X_train[ix],cv2.COLOR_BGR2GRAY)\nimshow(im,cmap='gray')\nplt.show()\nimshow(np.squeeze(Y_train[ix]))\nplt.show()","execution_count":null,"outputs":[]},{"metadata":{"_uuid":"9bfdde9e31ffbb295ffd46cb996a0c54ce7f50df"},"cell_type":"markdown","source":"## U-net\n![image.png](attachment:image.png)","attachments":{"image.png":{"image/png":"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gAACCCCAAAIIIIAAAggggAACCCDgHgGre5qhFQQQQOD+BYwZDMbDbq/Ujl+tuP8KqQEBBBBAAAEEEEAAAQQQQAABBBBAAAEEHBJgZoJDTBRCAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQGDsCpBMGLtjT88RQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEHBIgGSCQ0wUQsC5Ao2NLaqqqndupW6ozdkxL9j6hiqrrys752TXjxu6QBMIIIAAAggggAACCLhVoKmpya3t0ZhrBcx4LWfGmF07itSOAAIIIDBcAZIJw5XjPASGKVBWVqlx4/5Tjz/+3/rtbz8xTVLBYvl1V8yvvnpgxGLuTjoUn6+QkYjggQACCCCAAAIIIICAJwtcuHBBe/fuVX5+vqqrqz05VGJzQMCM13JGIqH7+nPnztwRu5ZzgJciCCCAAAImECCZYIJBIsTRJdDQ0NLVoby8Bv38518pIuL/6H//7106e9bu8R01Yn7ppS+6YjYSIWaI2eNRCRABBBBAAAEEEEBg1Aq0tbV19c1ut+vw4cPav3+/jOc8zClgxmu5ixcru7CNa7n16/fcvpYzEiM8EEAAAQQQGKoAyYShilEeARcI/Pu/H1dKyh+0Zcv/6PDh0y5owflVGokQI+Z//dc3TROz8xWoEQEEEEAAAQQQQAABxwVu3LjRNUvhk08+UUlJiVgCyXE7Ty3ZfS1npusi41pu4sTfdV3LHTtW6qm0xIUAAggg4IECJBM8cFAIaewK/PGP3+nhh9/WunW/06efHpMxJdXTH7/5TdHtmI1ps2aI2dNNiQ8BBBBAAAEEEEBgdAu0trbq9OnTXUsgnThxQvX15ttPbXSP0NB71/O6yEzXcnPnvtp1/WmWL7UNfWQ4AwEEEEDAmQIkE5ypSV0IOElg9+5KrVy5W4sX/z+N5B4FQ+mOEbMxbdaI2Ux7QQylj5RFAAEEEEAAAQQQQMDZAsa+CgcOHFBubq6uXLni7Oqpz80CZr2WM77UtnDhb8QXxNz8B0NzCCCAgMkErCaLl3ARMIWAsVmxMx7dexRIX+jllxfpscfSlJwc64yq76nDmTHn5X3VtR/EL36Roh//OMtlMd/TCQ44JPDBBx84VI5CCCCAAAIIIIAAAu4TuHr1qoyfgIAATZkyRXFxcbJauWR33wjcbMmZ10XGfnNmu5YzviAm7em6/ty0KUPh4UHuHgLaQwABBBDwYAFmJnjw4BAaAj0FzLhHgTHV19hXwVi2yZg2e/cSSHnbNisyLFBZGTO7fnr2l+cIIIAAAggggAACCIxFAWNfBWPpo3379unMmTPsqzAK/gjMeC1nxBwR8X+69lU4e5ZNw0fBnyFdQAABBJwiQDLBKYxUgoD7BMy4Fqcx1deYNmssgWRMm62qGt6asN1Jh6TEaBmJCB4IIIAAAggggAACCIxWAWNfheLi4q59FfLz81VdXT1auzpm+mXGa7m7vyA2ZgaLjiKAAAII9CnAnMk+WTiIgOcLGDfod+/erQULPtPPfrZQbc1tHh+0sWzT3dNmPT5oAkQAAQQQQAABBBBAYIQF7Ha7jJ/Q0FAlJydr/PjxIxwRzd+PQM9ruV/+MssU13I3Y35bAVFemuDrq8lpibLauKV0P38HnIsAAgiYUYCZCWYcNWJGoIdA974Kl4+Za7M2Y9rsD3/4ao+e8BQBBBBAAAEEEEAAAQQGEqipqdGRI0eYpTAQkone6/6ylZmu5W5c7dD7vz2pD//b2A+CBwIIIIDAWBMgmTDWRpz+jloB/3Bf0/XtqL1JldXXlZ1zsuvHdB0gYAQQQAABBBBAAAEE3Czg4+OjoCA2xXUzu0ubM+O13IJVqS41oXIEEEAAAc8UIJngmeNCVAg4LPCLX6Tom29eVMS0CIfPGemCa9dG6tChjZowJ2akQ6F9BBBAAAEEEEAAAQRMIWAkEZKSkrR48WJZrSwvY4pBGyRI41quqGiLqa7l4hYE6u/+M0ux02IH6R1vI4AAAgiMRgE+gYzGUaVPY0Lg5ZcXad26eYqPj7zV3xyP77fxYfnHP85ScvKtD56v5A8pZmMGQ/djwdY32IS5G4PfCCCAAAIIIIAAAqNWICAgQFOmTFFcXBxJhFEyyvdey3l2xxYsGKcXX5ylTZsytPKX7yksJsyzAyY6BBBAAAGXCZBMcBktFSPgfAHjQ5yxQdeSJakKDzfH1OaeHzzNErPzR44aEUAAAQQQQAABBBAYmkBUVJQmT57MZstDY/PY0ma8ljNmlL/44nytWjVX/v42j7UlMAQQQAAB9wmQTHCfNS0hMGwB40PcL36xTA8+ONU0H+L44Dns4eZEBBBAAAEEEEAAgTEsMGnSJCUmJrIvwij5GzDjtdyPf5ygH/xgkTIzZ4ySUaAbCCCAAALOEiCZ4CxJ6kGgh0Bn53/0eNX76dmzdqWk/KH3wX5eGcsCbdqUrjlzJvdTwnmHB4rZaMVi+bVDjRkxr107mw+eDmmNTKHVq1ePTMO0igACCCCAAAIIjDGBkpISnT59etBed++HYCxl5OfnN2h5CrhOYKDrIjNeyw015l7L0rqOmZoRQAABBEwqQDLBpANH2KNbwFhD87HH0u7sLWCC7poxZhOwEiICCCCA9sFDiwAAIABJREFUAAIIIIDAKBYw9kNISUlRbCyb2Y6WYTbbfgiGuxGzsR8Cy9KOlr9C+oEAAgi4ToBkgutsqRmBIQkYa2j+7GcLtXr1g6b5EHe/637mbdusVf+2W6kzJg3JisIIIIAAAggggAACCJhZwEgeGPshhIWxka2Zx7E79vu9Luqux52/u2NmPwR3qtMWAgggYH4BkgnmH0N6YHIBYw3Nf/zHTD3ySKqp9kMw2x4OJv8zIXwEEEAAAQQQQAABkwsYSxkZSYRp06axlJHJx7I7fDNcy40b13vj5O49HNgPoXsU+Y0AAgggMBQBkglD0aIsAk4QmDjR2Ew5RaGhflq8OMU0ewt0x/zEE7PdsodDX9RZGTO7DtvtldrxqxV9FeEYAggggAACCCCAAAIeIxAUFKSoqCjFxMTI2A/BauUS3GMGZxiBmPFaLj7+zvXnhg0LTbWU7jCGiFMQQAABBFwswCcZFwNTPQJ3C/j72/Rf//Xc3Yc9/rUZY/Z4VAJEAAEEEEAAAQQQGNUC48ePl/HDY3QIcC03OsaRXiCAAAIIDF/Aa/inciYCCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAgiMBQFmJoyFUaaPCHiowIKtb3RFlp1zsut39zJGHhouYSGAAAIIIIAAAggggAACCCCAAAIIIDBmBUgmjNmhp+MImE+gO+lgRG4kIvK2bTZfJ4gYAQQQQAABBBBAAAEEEEAAAQQQQAABEwqwzJEJB42QEUAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBwpwDJBHdq0xYCCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAiYUIJlgwkEjZAQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEE3ClAMsGd2rSFAAIIIIAAAggggAACCCCAAAIIIIAAAggggIAJBUgmmHDQCBkBBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAXcKkExwpzZtIYBAL4G8bZsVGRaorIyZXT+93uQFAggggAACCCCAAAIIIIAAAggggAACCHiMgNVjIiEQBBBAYBABI+lgPOz2Su341YpBSvM2AggggAACCCCAAAIIIIAAAggggAACCDhLgJkJzpKkHgQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEERqkAyYRROrB0CwEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABZwmQTHCWJPUggAACCCCAAAIIIIAAAggggAACCCCAAAIIIDBKBdgzYZQOLN1CwAwCC7a+0RVmds7Jrt/deyKYIXZiRAABBBBAAAEEEEAAgQ61VH+nopIrarSGKmHaFMUE9LjN0HxRuXtPSrOylD5xHFwIIIAAAgggYHKBHv/Km7wnhI8AAqNeoDvpYHTUSETkbds86vtMBxFAAAEEEEAAAQQQ8EyBTrWUH9Zrr+xXWWtnV4iW4BQt37BGmRMDbobcXqPSbwqkhAylT/TMXhAVAggggAACCDguQDLBcStKIoAAAggggAACCCCAAAIIIIBAl8B1FX+Zp4roh/TM43MU412t0wf2aN9r78q6ZaPSo2w4IYAAAggggMAoE2DPhFE2oHQHAQQQQAABBBBAAAEEEEAAAZcLdNTqcnmnpixMV2pclMJjkpW54VmtjLukfe/lqrzl5mwFl8cxUg20VOn8ia+Ve+SYii5fV3uvOBp0MXePPsy9qOZex0fqhbEc1XmdOHpER46d1eUbbb0DMZaj+nCPci829D7OKwQQQAABBO4SYGbCXSC8RAABBBBAAAEEEEAAAQQQQACBQQQsPvL1k5qbW+8U9I7WwnWrVPbn9/XOp9HasuzOW6PqWctFZb+2Q/vLGm92yxKqpOVP6enMBPl3HWlTTWmBvlGclo74+k4sRzWq/vboDAIIIDDCAsxMGOEBoHkEEEAAAQQQQAABBBBAAAEETCdgCVXitCBdOPiFcs9XqeVWBywhqXpi3Tx557+r1z4oUHWH6Xo2SMAdaijO0+GKKGU88yP99OdbtXn5BF3Z96bezq24a4bCIFW55e0ey1H9+B/1879/Xstjr3QtR5V7tXvU3BIIjSCAAAIIjAIBkgmjYBDpAgJmFTA2UI4MC1RWxsyuH7P2g7gRQAABBBBAAAEEEBh7Ar6KW/y01iXY9cnre1XU0J018JL/5KXa9NQMtRaX6MqoW+2oTTWXK9Q+Zb4yU+MVGT5BSZnr9MLKWJXv+1iHy5s8609hrC9H5VmjQTQIIICA6QVY5sj0Q0gHEEAAAQQQQAABBBBAAAEEEBgBAe9IzVr/90q8VCP59vyuoo/C01Zr64QZOlFSp8AJfiMQnKua9JKPr6+xvpPuLPBkU9TCJ7Wu7HW9887nit2S4arGh17vWF6OauhanIEAAgggMIgAyYRBgHgbAQQ8R8CYwWA87PZK7fjVCs8JjEgQQAABBBBAAAEEEBizAjYFTxh/s/ct9aqouKr6+jpV1Tfr5qQEi+ovlar4epAiYqIV5udtcimrwhInK2zfl/osN0LL505SmM1LsoQp9YkntPBPb+nt12o0paNNCvOArt5ajmqfsRxV5FLNTQyXTdLN5ajs+tNr7+q1hnh1dHhGuB4gRggIIIAAAgMIkEwYAIe3EEAAAQQQQAABBBBAAAEEEEBgIIEONVWcUm5Oro6cKFPDgMsa+Sg4cbYyMhdpblJE103tgWr21PescQ/r+XU1emXXX/XJuH/Qc2nBN0P1n6pHN61W0/YPdfxaq7w9IZmgW8tRVe/Qrtf3aty/bFDaOGMWSfdyVE3a/v4xXev084jch6eOOXEhgAACCNwUIJnAXwICCCCAAAIIIIAAAggggAACCAxDoFVVBR/olV0FqutKInjLP3y8xkdFKSKgx+2G5lpduXpVFVfqVHf+qPacP6kT6eu0cWWygi3DaHbET/FR+Ky1+mniVVXLv1c03uGztG7rBKWeKFVN4ATPSJiMyeWoeg0LLxBAAAEEnCTQ4193J9VINQgggICDAgu2vtFVMjvnZNfv7mWMHDydYggggAACCCCAAAIIIDCCAm3lh7TDSCRYJ2j28mXKnDVZUf4DLGPUUit7aaG+/Cxbhbm79NegF/RSZqzMeWPCS7bgaEX35W+LUvK8KEktul5xURX1zZJvsKKjIxVoLIk0Io8ey1H1at9LtsipSvO263zZCeWWtMniG6yo8bGKiw3xjGRIr3h5gQACCCAwkgLm/Dd7JMVoGwEEEEAAAQQQQAABBBBAAIExL3BDJXnHVKlIzdu4SauTAgcXsYUoNiVT6+OC1PbyLp35qkBl6bFKNOWdiVbVFudp/6E8nbpQKwXHKXl2uh7JSFW0n5faq07q03f3KK/s+q29IyT5ROmBFd/TEwvj75rPMDjdfZdouarThw/oy6ZZ2rwqWb7dFTbZ9fWe3frk+JUeG0obb3prXPw8PfrkYs2JGdddmt8IIIAAAmNcwJT/ZI/xMaP7CIxZge4ZDAaAMashb9vmMWtBxxFAAAEEEEAAAQQQGFGBzuuqrGiUAmbogUQHEgk9gw1MVvqcMJ3Js6u8uk2JUWa7NdGu2lMf6s/vHL+1vJOkujKdPFius6W1+uHzMfrmtXd1pKZdFv9wxYb7qa3+qq7UXVXhx9tV0+rmGRltdh1+7XXtLWuUQsN1bWWyYo0JEu0Vyn3rde053yhZ/BUxeYomhfpKzdW6cO47XSs7ot1/vqbmLRuVHmVs28wDAQQQQGCsC5jtX+yxPl70HwEEEEAAAQQQQAABBBBAAIGRF+hsVXNTh2S1aegr93jJ5muVOpvV3Nox8n0ZagTNxdr/3s3lnR58bLkWTgmXT2utys/kaO+BHH28M1SXa0P0wNqNWjMn+tZSQS2qLT6kd94+pLLswzo9e73SAt2x5FG7aguzdaCsST7xmVr/VObNRII61Vz8lfafb5QleJa+98IqzYnyuyPRXqPiz9/V2znn9PnnZzTz2VkaYsroTl08QwABBBAYNQLu+Jdr1GDREQQQQAABBBBAAAEEEEAAAQQQkOTlr+BQq1Rrl72+fWgknbW6WFojWYIUHDDAHgtDq9VNpTvVfP6MzjR7K3LRKq2aP1XR4WEKj05U2uIntCLFS9+VXJJSFmvl7USCEZpNIUmZenxRjCwtZSopb3RTvDX69vh5tVomaflTS5QS3r3AUbMunftOzQpUyoqlvRMJRmTeoUpaukKLIr3V8u0ZlTaYMOnjJmGaQQABBMaSAMmEsTTa9BUBBBBAAAEEEEAAAQQQQAABpwiEatrMeFk6z+vg3gJdbXH0ZnODLn+drZzyVvlMnalpIWZLJrSrrvKaWhSsKVOi7to8OkgJU6NlkU2xU+P6+Ca/r6KnJChAN3ShvFqOit3XcHU0qq6mTQqZqIlG8uf2o0X1tY2S90SlTg2+fbTXE2u0ps8Il9qv6apRBw8EEEAAgTEv0PNfkjGPAQACCCCAAAIIIIAAAggggAACCDgi4K2QWYu15Lhd+wvf0+/P5SttXqomx0QpNDREIf53bjd0tlxXdX296i5dUFFhoc5eaVCnT6JWLE9ViCNNeVSZDrU2N6tTVvnes76TRT6+NnnJS76+Pn1G7WWz3ZWA6LOY8w5afOTr5yVdb1FXvuf2V0ptCgrxd1471IQAAgggMCYE7vzrPia6SycRQMCTBIwNlFf9226lzpjkSWERCwIIIIAAAggggAACCDgiYJuorE2b5PfRe9pbWKaCg2UqGPQ8b42LX6hHn1ysOTHdS+4MepIHFfCSj6+vLKpVXX1r1/JFd4Lr0I266+pQm2rrGtWpYFnuvCmpU6319WqUl8J8fe56r1dB572whCguIUg6clK5pxcpMS30Vt02RcbHyHbkks7bm5SWNO7eNlvsOnmqSvJ9QHERfSdH7j2JIwgggAACo1mAZMJoHl36hsAoE8jKmNnVI7u9Ujt+tWKU9Y7uIIAAAggggAACCCBgQgH/eC1cv1UzM8/p7LelOnehXFXVlbpUZdxMv/mw+IdrwvgoRcUlaOq06UpJDL+1KbEJ+yurwhInK8JyUKePntXS5LkK6c4YNJxT7tFL8vaRKo6dkj09WnG97rrU6uyxYjUrSAlxIe5JJshP8bMeUGRets68/zft8X5Si1Ni5O/tpcDULC3Lf1X7DhzR7LgsJfjfnrYgtVTo2Pvv68trnQpd+IASfbs7acYxI2YEEEAAAWcJ9PpnzVmVUg8CCCCAAAIIIIAAAggggAACCIwVAasCYpI11/h5ZPT32Rqdojlxedpb/KH+/Kpd81IiZWu5ppLjx1VcG6YFi+P07YHDevvNDi19eKYSQnzUWl+h0vxD+vzMdVkiszQr3s9tUNa4h/X8uhq9sqtAuX/dpvzgiUqZOVVx4aEKTp2p6C8O6fX/Lr15LKBN1Vcv6/zZc7rS2C5L6AI9uXiyzDiHxG3ANIQAAgiMIQGSCWNosOkqAggggAACCCCAAAIIIIAAAi4TaKlXRcVV1dfXqare2FfAeFjkPS5EoUFBioiJVpif2TZc7kPLGqtFT63U5VfeV+H5o9p/vruMv+KzntDSrHBNrf5Obx0/pN0lh7rfvPnbJ0FZaxbeNWOhdxHnv/JR+Kw12hIar/2fZeubsu9U+OV3KuzV0F3HLIGKf3CJHl8xV3E9Zyz0OocXCCCAAAJjTYBkwlgbcfqLAAIIIIAAAggggAACCCCAgNMEOtRUcUq5Obk6cqJMDd1rG/VZv4+CE2crI3OR5iZFmHipI8k7fLbW/2SC0gpPqeTSdSlgvCZNT1VKbKCMdEnKmh/oB/E5yskr6NpwWv5RmpycpvkPL9CMSPfNSrgzDFYFJizQmh/N1mL7d7pQfkmXKyp1rbJK19tuDZo1UJGREYqIm6SpUxMVG2y7czrPEEAAAQQQkEQygT8DBBAYMYEFW9/oajs752TX7+49EUYsIBpGAAEEEEAAAQQQQACBIQi0qqrgg67lc+q67kd7yz98vMZHRSkioMfthuZaXbl6VRVX6lR3/qj2nD+pE+nrtHFlsoLNvBS/33glzx+v5L7EvIOUMH9l109fb4/cMZuCY5OUZvyMXBC0jAACCCBgUoEe/7qbtAeEjQACY0agO+lgdNhIRORt2zxm+k5HEUAAAQQQQAABBBDwNIG28kPasatAddYJmr18mTJnTVaU/wDLGLXUyl5aqC8/y1Zh7i79NegFvZQZa/5vObY3qbbyqipralRd06D2roG6ubxTWGioIqMiFeJByzu1N9Wq8mqlampqVNPQduvPyqpxoaEKDY1UVGSIPChcT/uzJx4EEEBgTAuQTBjTwz9aO9+hlurvVFRyRY3WUCVMm6KYXt+KuajcvSelWVlKnzjO/QgtVTpfVKqKRm+FJiQpKebmNNibgTToYm62CjRTK9IneugmVx7u6/4RpUUEEEAAAQQQQAABBMagwA2V5B1TpSI1b+MmrU4KHNzAFqLYlEytjwtS28u7dOarApWlxyrRrHcmmi7rRM5BHTpa1LVZcf8ANoUnzVV6+gLNGbHlnW4uR5WTfVhHT19W40DLUflEKOnBhUpfOFtJ4Wy93P+48g4CCCAw9gTM+k/22BspeuygQKdayg/rtVf2q6z15qcjS3CKlm9Yo8yJATfraK9R6TcFUkKG0ic6WK2zirVcVPZrO7S/rPFmjZZQJS1/Sk9nJsi/60ibakoL9I3itNTtwTnSSQ/3daQLlEEAAQQQQAABBBBAAIH7F+i8rsqKRilghh5IdCCR0LPFwGSlzwnTmTy7yqvblBhlvlsT7VXHtcvYgLnu5jwE+QRr/Hg/NV25qrpWySd4opIT/XX98iXZr9SpqjhXHxd/oyOzn9SmNbMUPsAEjp5Uznl+93JUFvkER2m8X5OuXKlTq3wUPClJiX4NunzJrit111Sc+7GK87/W7DXPaE1aZNc+EM6JhVoQQAABBMwsYL5/sc2sTexuELiu4i/zVBH9kJ55fI5ivKt1+sAe7XvtXVm3bFR61EhuINWhhuI8Ha6IUsYzj2pujLdqTh/U+/ve1NvWl/RCerQJPqB5sq8b/rxoAgEEEEAAAQQQQAABBG4KdLaqualDstpk8xoqipdsvlaps1nNrR1DPXnky7dd1IEdH6iwTgqevlxPPJKmybEhNzeUbr+u8oIv9MGeUlmmrtH3n4qUd0utLhZ9rcNf5Kro+Ht6zeqnLauT5a558reXo1KYpq94VI+kTb29uXL7jTIVfP6R9hT7aOpLm/VUuLda6spVdDRHX3xVpOPvviWr/0uOzTwZ+ZEhAgQQQAABFwsM+Z98F8dD9Qjcn0BHrS6Xd2rKwnSlxkUpPCZZmRue1cq4S9r3Xq7KWwaay3l/TQ9+dptqLleofcp8ZabGKzJ8gpIy1+mFlbEq3/exDpc3DV7FSJfwaN+RxqF9BBBAAAEEEEAAAQTGkICXv4JDrVKtXfb6W9/Od7T7nbW6WFojWYIUHODWr+g7GuEA5TrVXJKvI5XtsiU9rpc2PKyU7kSCcZZ3oOLmPqrV6b46+cEn+qaqTbKFaGLaMj33441Kj7CoJv+QvrnavVfBAE055a1by1F1Bijpiee1IXPG7URCV7gB8Zq7apXSbaf1wfvHVNXpJVvwRKUte0Y/fn6RIlSp/H3HdXUkL6Wd4kAlCCCAAALOECCZ4AxF6vAcAYuPfP2k5ubWOzF5R2vhulVKqTukdz79Vg133nHzMy/5+PoawelOdDZFLXxS61Lq9cU7n6u4wcO/lePRvm4eTppDAAEEEEAAAQQQQGBMC4Rq2sx4WTrP6+DeAl1tcfRapkGXv85WTnmrfKbO1LQQsyUT2lVXeU0tCtOczAf6Wa7IV3HzHtSktvM6UnhFt2X8J+vhxcmydV5R8YVa9/z1dC9HFfiAMudE9T0b3hqreekJartwTIUV3VerXvKfvFCLUwLVWVGqC93LObknalpBAAEEEPBQAZY58tCBIaxhClhClTgtSPsOfqHcyKWamxjeNdXUEpKqJ9bZ9afX3tVrDfHq6JDChtnE8E+zKixxssL2fanPciO0fO4khRnzgS1hSn3iCS3801t6+7UaTeloG4ngHOuWk33ztm3Wqn/brdQZkxxrn1IIIIAAAggggAACCCDgIQLeCpm1WEuO27W/8D39/ly+0ualanJMlEJDQxTif+d2Q2fLdVXX16vu0gUVFRbq7JUGdfokasXyVIV4SG8cD6NDrc3N6pRVvgOt7+TjK1+vNl20X1OTYm8taeSlcRERGqci1dQ1diUZXP4NT4eWo7LIx9cmr0677FcbpRifWxzjFBE1TjpTr7ob7ZLpEj+OjyolEUAAAQQcE7jzr7tj5SmFgIcL+Cpu8dNaV71Du17fq3H/skFp44yPZ8a3KpZq01NN2v7+MV3r9BuBZIJkjXtYz6+r0Su7/qpPxv2DnksLvunpP1WPblqtpu0f6vi1Vnm7P9Ph4LiOrG9WxsyuOO32Su341QoHY6YYAggggAACCCCAAAIIuETANlFZmzbJ76P3tLewTAUHy1QwaEPeGhe/UI8+uVhzYnwHLe15BbwVEBwkiyp09VqDFNv3vnxt1ZW61mGR1c/WazZAR0uL2uSlQF8fWdzRue7lqOzXdK2hQ7GBfaUvWlV9tUYd8pGfredMkQ61NLdJlgD5+vR1njs6QBsIIIAAAp4kQDLBk0aDWJwj4B2pWev/XomXaiTfnh94fBSetlpbJ8zQiZI6BU7wc057Q6rFR+Gz1uqniVdVLf9eZ3qHz9K6rROUeqJUNYETbm7e1auEh7zwaF8PMSIMBBBAAAEEEEAAAQTGioB/vBau36qZmed09ttSnbtQrqrqSl2qalT3MvsW/3BNGB+lqLgETZ02XSm3ZpCbk8hbwZMmK9pSoqIDR1SatEKT/Xted0pqv6pjX3ytyk6bEuMjdTtlYhw/XKjrClJqXIh7kgkK0aSk8bKcP6sDh0qV9PjUu65EpfaqE/oi97I6LVMUH3PnOrm9qlCHj1VLAdMUF8btI3P+vRI1Aggg4FwB/jVwrie1eYyATcETxvcRjZdskdM0L9J4q03Vp77QoRJp6sMPK9VtH46MDa2iFd1HdLJFKXleVB/vdKipskxlNe0aNz5escHd0077KOqWQz18W+pVUXFV9fV1qqo3pvsaD4vqL5Wq+HqQImKiFebX89stbgmQRhBAAAEEEEAAAQQQQMBtAlYFxCRrrvHziNsaHbGGLFFpWjIrX28d/1Kv/bZMc9PnaGpssGxqUf2l8zp17LiKq1pkCV2gzNSb0847a0/rk3c+0pGyG7JEztOs+Ds37V3bEauiZj+kWUf+puO5O/Tb8jSlPzhNsUE2qaVOly6c1rFvSlTV6qXQeQuV2rWUUbtqi/bpnfeOqKzFW5HpMxXP3SPXDhO1I4AAAiYR4J8DkwwUYbpCoEONl08rP18KmJehW5/xXNHQXXW2qrb0Gx08fFSnzl1VozVYcclzlJ6xQKmxgb2mwN45sU1VBR/qjYP1SnnaWB5ppJMJHWqqOKXcnFwdOVGmhu6vHN0JuMczHwUnzlZG5iLNTYroNeNiwdY3uspl55zs+t29jFGPk3mKAAIIIIAAAggggAACCHiYQLBSVq7V8hvval/xReXvv6j8XhFa5BMxV2s2PaqkrmV3JbVU6UL5DVljFmjdMw8rzp13YwJTtHLDUt14Z7+Ky45pf9mxXtFKNkXMflKbViXf2tuhUy2VZSpv8FHMvCf1zOKJcme4dwXHSwQQQAABDxLg3wMPGgxCcYZAq+rsZbrS0O5AZW26VtXSVa7q4jkVN9z6z8EyTuMTYxXski/Tt6qq4AO9sqtAdd034FvrVH4yWztPFahg+VN6OjPhnmmnDnTGjUXu7oO3/MPHa3xUlCICevwvpblWV65eVcWVOtWdP6o950/qRPo6bVyZrOBhLg7anXQwOmskIowNnHkggAACCCCAAAIIIICA2QQaVXnerpp2fxdee7nYxD9BmZv/QTNKCnX87HmV26vV1OmjwMhYTZw6TakpCQrrsUGzJWy6Vj43VVFTYxTgkmvNgfrrJf+Jmdr80+kqOXFCZ0vLZK9pUqc1UJF9Lj1lVVjKMj03NVJTY/r7wttA7fEeAggggMBoFehx52+0dpF+jS2BRl3I/qt2FjUOqdsn97ylm9+Nl+Q9Q0/f3rh5SNUMXvj6aX324QnVKVRJS5bpkemxCvJu0rWyM/pq/5cq3vumtrds1KaliR6bUGgrP6QdRjLEOkGzly9T5qzJivIf4NNwS63spYX68rNsFebu0l+DXtBLmbF8s2XwvxZKIIAAAggggAACCCDg+QLtNSo9mqPDeYU6d61J1uA4Jc9eqIz0GYrt+WWjnj3puKaC3Tt0sD7ZdddePdtz2XNfhU+dp6VT5w3egjVCicmDF3NpCVuEps5bIofCjUzUSIfrUgsqRwABBBAYlgDJhGGxcZIpBHyCFTclUdH9fYBVh26UnVHRFWl8ynTFB9zaNMsrWqHew/zq/IAwnWouL1Vpi5dCF67WhsVTb2/EFRYZp8lJiTrw1t90MPsd7Qx6Sc/Nj+pnyaMBG3HxmzdUkndMlYrUvI2btDopcPD2bCGKTcnU+rggtb28S2e+KlBZeqwS+b/P4HaUQAABBBBAAAEEEEDAkwXaK1Wwa4d2FVbd3my5ta5MJw+W6dTxFC3fsEaZEwM8uQduj629qU51jR2yBQQroMfMBbcH4lCD7Wqqq1Nju00BYQG9lqx16HQKIYAAAgiMOgFu5426IR3rHQpW2rrvq/2z9/VR/mVdqexUWsYSzU8I6uPGfIvsn9u7kgkpWau0LNbmYrxWXSu3q1khmj0j7nYiobtR78CpWvb8OjX84W19/dE7+iziRT0+2cM+eHdeV2VFoxQwQw8kOpBI6O6c8TswWelzwnQmz67y6jYlRvG/n548PEcAAQQQQAABBBBAwFwCHbp+ar8+LKySgqcvfLXdAAAgAElEQVRpyYoMTY8LlndTlcrO5Gr/oSLtfa1RLS9s1NIED7uuGTHoFlXkvKE/3N4LL3jEInGo4Y5Lyvmfv4yCGSQO9ZZCCCCAAAIOCNz6KrYDJSmCgFkE/CZozpq/00+ey1Bs4ynt+csf9Npnp1TZ0uEhPbDKt79voIxL1uPPLlW89apy33xfR6taPSTmW2F0tqq5qUOy2tRfF/oP2Es2X6vU2azmVk8Zi/6j5R0EEEAAAQQQQAABBBAYSKBR5SVlarFEacG6dVqclqjo8HBFxiZpzrJnteX7WYrXRWW/4YHXNQN1i/cQQAABBBBAoF8Bkgn90vCGuQV8FJayQt//yff1+Ew/2XPe0bZtu3SkvGEEu+WtgOAgWVSri/b6fuOwxizShnWzFNxapI+271dpowfdePfyV3CoVaq1y17vyCbXPbrZWauLpTWSJUjB7t9xrEcgPEUAAQQQQAABBBBAAIH7FuioVvmFG1LAFM2YOO6u6qwKnLxYz2+cr1BPvK65K1peIoAAAggggIBjAqwz4pgTpUwq4B04Senrf6ipMw7qgw9z9fGfLurbJU9qdWaSQgbYM9g13fVW8KTJiraU6MLhr1Q0faVSAvv6T9BbIamPa+OSGr2y/yvt2O6tjRse0t0fz10T42C1hmrazHhZzp/Xwb0FmrRmtqIcmqLQoMtfZyunvFU+U2dq2i38vG2bterfdit1xqTBGuZ9BBBAAAEEEEAAAQQQ8ESBfmcte2lc0nI9u/yq/rz3K725M1x//9x8hbv9OswFaC03VH2jZRgVt6q+uXMY593PKR1quVGnGy3DaLezXs330zTnIoAAAgiMOoG+7mSOuk7SobEu4KfI1Ef1/bjJOvzBh/pi/3b97vSDemLtI4pyM40lKk1LZuXrreNH9dbvLytt/kN65JFURd7zX6Kf4rKe0Qvtb+v17EPavq1Ek0NvuDnavprzVsisxVpy3K79he/p9+fylTYvVZNjohQaGqIQ/zsd6Wy5rur6etVduqCiwkKdvdKgTp9ErVieqpC+qnbgWFbGzK5SdnuldvxqhQNnUAQBBBBAAAEEEEAAAQRcItA9a/nCzVnLsX1+W8tXMRnf07rLr+udwk+0/bMw/ejxqfJ3SUDuqrRDDUUf6nc7T2uIc7V7BOhOgesqen+bdhY19mh/iE9HQwJoiF2mOAIIIIBA3wJ37vz1/T5HERg1At4hScravEXJxz7X7o/ytfvPpYoLazJ2BnZjH4OVsuZ5rWvfoV2FZSo4XKik9OmKtPa14liAEpY+ry1hn+itj47rnN34Jok7P3T2w2KbqKxNm+T30Xvaa/ThYJkK+il657C3xsUv1KNPLtacGN87h3mGAAIIIIAAAggggAACJhUI0aSk8V2zlg9nn9X0J2YosK+bzpYwpa5ZpyU1O7Q/92/a7r1OG5Z4xrxrk8ITNgIIIIAAAiMmQDJhxOhpeGQExilmzmr9eHKKDux6X4fOG3souDOZIMk7UrPWb9XEeWd16qJV8f59JRK6dfwUNWeNtibM1Dc5R1R4uV0R/n19Qu8u76bf/vFauH6rZmae09lvS3XuQrmqqit1qapR3ZNnLf7hmjA+SlFxCZo6bbpSEsNl6ye87JyT/bxz7+Hu2Qn3vsMRBBBAAAEEEEAAAQQQcJ+AVVGzH9KsI3/T8fy/6fcVMzU/42E9khqle240dH0haaPat7+t7Jy3te3CRIU2e9DecENC89K4lIVKj/hWOXWT9PiWjUqP6u9K5+6KW2T//E/6w8F799AbyjXR3bUO/DpIKRkPKuJsjuomrdSWF9IV5eglZUeZPn/5L7o7XNfFOnBPeBcBBBBAYOQF7vk3fuRDIgIEXC/gHTJNy17Yommnzsje4KvYEHf/p+CrsMQ0ZSY60lcv2cKTlL46SemOFHdbGasCYpI11/h5ZPiNtrYNfXJwU9Nw1icdfoyciQACCCCAAAIIIIAAAn0IBM7QmpfWqP2V91VYXqDDBUlK7yuZYJzqn6il339JYR/t1EfHz8tuHBvgpvaCrW/00eDgh9xyo9s2SYu/l66iv+To809PavqmuQqxDB5bfyWMveRc97DIlpCp7z1Uor/kHNSnJ6Zp05xwDTdc18bqOgVqRgABBBBwjoC776A6J2pqQcAZAu2SLTRCEcbKQddvqCUgqN9vzjujuaHV0aLrFRWqqG+WfIMVHR2pQIc2Oh5aKy4t3VKvioqr6upCUJSio/v2ra0f+tqdZZerXRo6lSOAAAIIIIAAAggggIBjAt7hs7X+pxM1r6hIF61xAy/MaovWnHU/VMIDx5STe1KXm8Pl733vbe3h3rAe7nmO9bRnqZ436Pfpg6/j9dz8qIFyIz1PHoHn/kpYvFIPFb2hnI8/1dcJ6zU/3GcE4qBJBBBAAAGzC5BMMPsIEn/fAu01Kv7qgA4dOakLdVJwXIpmp2cqIy1GfmpV1al9evfDoypr6P5WvEU+EQ9oxVOPa2Gcq9fvbFVtcZ72H8rTqQu1RnBKnp2uRzJSFe3npfaqk/r03T3KK7t+e8kg+UTpgRXf0xML4wf+cN63hvOPerSv87tLjQgggAACCCCAAAIIIDCAgC1ciWkPyaGJ1/JVeFK6Vid51rzrAXrXz1vGDfontbzqM50+nqtT01Yprc9NqPs53d2HjdkUTy1T1Z6TOn7wjKZ9L+2+ZlO4O3zaQwABBBDwDAGSCZ4xDkThTIHOap3a9breKay6fTO+rrxQB3eWqLRus56PPaHX3slVTae3/MMnKNy/XfVXrqru2gl9/Eq9Wn/4nDJdtklwu2pPfag/v3Ncdd2bC9SV6eTBcp0trdUPn4/RN6+9qyM17TL2HIgN91Nb/VVdqbuqwo+3q6b1Bb2UGXvvGqTO9BusLhf4sg/CYOi8jwACCCCAAAIIIIAAAh4nYItX5rN/p0yHA7MpOmOz/mluh2wBbt67TxbZ4h7Ssz96yOFo5TVBGX/3U81ttylg3EB7/TleJSURQAABBMwtQDLB3ONH9PcIdKr5bLbeK6yWNeZBPfbYAk0J9VFrvV1nDn6uA9kfaWdMjWqDZmntC6s0J8rvZg0t1So+tEtvH7yg7ANFmv3sLNdsy9xcrP3vFajOOkEPPrZcC6eEy6e1VuVncrT3QI4+3hmqy7UhemDtRq2ZE31r2aUW1RYf0jtvH1JZ9mGdnr1eaYEj9UHOw33v+XvgAAIIIIAAAggggAACCCDgOQLefsEKu3UZ6jlR9ReJt/yCw2SacPvrBscRQAABBJwmMFJ3JJ3WASpCoLdAg86fPqdmS4wWrX5M8yfHKDwsQtEJaVq8dqlSdEkl33kpZcXSO4kEowJbmJKyVmhRpLdaSktV3tw9baB37ff3qlPN58/oTLO3Ihet0qr5UxUdHqbw6ESlLX5CK1K89F3JJSllsVbeTiR0BaeQpEw9vihGlpYylZQPfY+B+4u759me7NszTp4jgAACCCCAAAIIIIAAAggggAACCCCAgDMFSCY4U5O6Rl6g87oqKxqlgARNifbtHU9gnKbG2iRLtKYmBPV+z3hljdKUKcFSs13l11rvff++j7SrrvKaWhSsKVOi7lqqKEgJU6ONiaeKnRrXx6wIX0VPSVCAbuhCebU67juWYVbg0b7D7BOnIYAAAggggAACCCCAAAIIIIAAAggggMCgAiQTBiWigKkEOlvV3NQhWW2y3fPX7SNfXy/JyyZfH0sf3fKSzdeVK391qLW5WZ2yyvee4Czy8bXJS17y9fXpIzYjbNtdCYg+i7n2oEf7urbr1I4AAggggAACCCCAAAIIIIAAAggggMBYFrjndutYxqDvo0DA4iNfPy+psV71rXctVdTZqLraNqnjuupu9PXd/lbV1zVJFl/5+rjiPw0v+fj6yqIm1dXfPfOhQzfqrqtDbaqta7y9cfSdEelUa329GuUlP18f9ZUKuVPWhc882teF/aZqBBBAAAEEEEAAAQQQQAABBBBAAAEExriAK+6YjnFSuj+iApZQJU6LlKX5Wx09Xd3jpnyHGkq+1tGKDvlYL+vYiUtquzvQ6yU6drpeCohVXJgrZihYFZY4WRGWep0+ela1PXMdDeeUe/SSvH06VXHslOz3BFers8eK1awgJcSFjGAywZN97x5QXiOAAAIIIIAAAggggAACCCCAAAIIIICAswRcccfUWbFRDwLDEPBVdOpMxX21T8XvvaJXLz2olHCbWqrO6fg3JaoNma3F08p14NBOvanFenjmRIX4tKn+8jnlH8zWmRZvRabPVLyL/suwRqdoTlye9hZ/qD+/ate8lEjZWq6p5PhxFdeGacHiOH174LDefrNDSx+eqYQQH7XWV6g0/5A+P3NdlsgszYr3G4aLs07xbF9n9ZJ6EEAAAQQQQAABBBBAAAEEEEAAAQQQQKC3gItumfZuhFcIuFPAGrNQT62+old2Fej8kS90vrtxnwRlPbVCWeHfqbrobzp+cLdKDna/afy2yCc+S2seinPd3gTWWC16aqUuv/K+Cs8f1f7bwfkrPusJLc0K19Tq7/TW8UPaXXKoZ3CSEf+ahYob4f9qPdq3txivEEAAAQQQQAABBBBAAAEEEEAAAQQQQMBJAiN8W9JJvaAaBHoJ+Ch81lr9ZMIDKiws0aXrUsD4SZr+wDTFBhh/8jO0ZsuLij+Uo7yCYl1plPwjJil51nw9vChFkfdsjtyr8vt+4R0+W+t/MkFphadUcjM4TZqeqpTYQHlLSlnzA/0gPkc5eQU6e6VB8o/S5OQ0zX94gWZEjuSshO6ue7Zvd5T8RgABBBBAAAEEEEAAAQS6BRpbGvUfO/+j6+Wvn/61/G3+3W/xGwEEEEAAAQQcFCCZ4CAUxcwm4CW/qGmav3Ran4F7ByZo/uPGT59vu/6g33glzx+v5L5a8g5SwvyVXT99ve0Zxzzc1zOQiAIBBBBAAAEEEEAAAQQ8RCC/JF+/KfpNVzRrS9Yqc0amh0RGGAgggAACCJhHgA2YzTNWRIoAAggggAACCCCAAAIIIIAAAsMQ+M3nNxMJxqk9nw+jKk5BAAEEEEBgzAqQTBizQ0/H7xVoVOX5EhWX2FXXfu+7I3ukQ02V36m4uFT2utaRDWXYrXuy77A7xYkIIIAAAggggAACCCDg4QJn7We1u3L37SiN58YxHggggAACCCAwNAGWORqaF6XNItBeo9KjOTqcV6hz15pkDY5T8uyFykifcWvfhD460nFNBbt36GB9sp7+lw1KG+eqXFuraku/0cHDR3Xq3FU1WoMVlzxH6RkLlHpr34R7o2tTVcGHeuNgvVKe/gc9l+ZzbxF3HvFoX3dC0BYCCCCAAAIIIIAAAgh4usAfs/94T4jGsf967r/uOc4BBBBAAAEEEOhfgGRC/za8Y1aB9koV7NqhXYVV6rzVh9a6Mp08WKZTx1O0fMMaZU4MGKHetaqq4AO9sqtAdXeCU/nJbO08VaCC5U/p6cwEefRWYB7tO0LDSrMIIIAAAggggAACCCDgkQJV9VW390roGaCxf8Iv63+p8KDwnod5jgACCCCAAAIDCJBMGACHt8wo0KHrp/brw8IqKXialqzI0PS4YHk3VansTK72HyrS3tca1fLCRi1NGIGEwvXT+uzDE6pTqJKWLNMj02MV5N2ka2Vn9NX+L1W8901tb9moTUsTPTSh4OG+ZvyTJWYEEEAAAQQQQAABBBBwmcD2nO391m2897OVP+v3fd5AAAEEEEAAgd4CrlrHpXcrvELAbQKNKi8pU4slSgvWrdPitERFh4crMjZJc5Y9qy3fz1K8Lir7jfd1tMrdew90qrm8VKUtXgpdsFobFqcpITpCYZFxSpqzXM9veV6PxEtl2e9o59Gr8rhtG7rG0JN93fZHRkMIIIAAAggggAACCCBgAoHGlkb9/Kuf9xvpqwWvyijDAwEEEEAAAQQcEyCZ4JgTpcwi0FGt8gs3pIApmjFx3F1RWxU4ebGe3zhfoa1F+mj7fpU2dtxVxpUvW3Wt3K5mhSh5Rpx872rKO3Cqlj2/TvNCm1T80Tv6rPTGXSU84KVH+3qADyEggAACCCCAAAIIIICAxwh8/M3HA8aS15CnwcoMWAFvIoAAAgggMMYESCaMsQEfM9212mTr86/bS+OSluvZ5YmyXvtKb+7MV5XbpwBY5dt3cNK4ZD3+7FLFW68q982RmD3h4F+IR/s62AeKIYAAAggggAACCCCAwKgWePXoq4P2z5Eyg1ZCAQQQQAABBMaIQJ+3W8dI3+nmaBTw8ldwqFWqtcte31+WwFcxGd/TugfC1Fr8ibZ/ViL3TGz1VkBwkCyq1UV7fb/61phF2rBuloJHZPZEv2HdfMOjfQeJnbcRQAABBBBAAAEEEEBgzAgcPn1Yuyt3D9pfo4xRlgcCCCCAAAIIDC5AMmFwI0qYSiBEk5LGy9J5Xoezz+p6f/kES5hS16zTkngfXcv9m7Z/dla1/ZV1Wv+9FTxpsqItzbpw+CsVXW/rp2ZvhaQ+ro1LJnXNntixfb+Ka/sr208VLjvsyb4u6zQVI4AAAggggAACCCCAgMkE/vLVXxyOeChlHa6UgggggAACCIxCAZIJo3BQx3aXrIqa/ZBmBUs1+X/T7//nXe0/dVV93oq3TVTWpo3KMjY9znlb217Zp5Jm1+6hYIlK05JZ4VLNUb31+1f07v5TquwzOD/FZT2jF7ImSmWHtH3b69pX4gl7KHi279j+26f3CCCAAAIIIIAAAgggYAictZ/VH7/7o8MYRlnjHB4IIIAAAgggMLAAyYSBfXjXjAKBM7TmpTV6IFhqKC/Q4YLLaumvH/6JWvr9l7R2doRay8/L3tjZX0knHQ9Wyprnte6BcKmhTAWHC3Wppb8ERoASlj6vLWvnKLz1ss7ZPSGZIMmjfZ00TFSDAAIIIIAAAggggAACphX49MSnQ459OOcMuRFOQAABBBBAwOQCVpPHT/gI9CngHT5b6386UfOKinTRGif/PkvdOmiL1px1P1TCA8eUk3tSl5vD5e9tGeiM+3vPO1Kz1m/VxHlndeqiVfH+A+X0/BQ1Z422JszUNzlHVHi5XRH+3vfXvhPO9mhfJ/SPKhBAAAEEEEAAAQQQQMCcAlX1Vfr5Vz8fcvDGOZsyNik8KHzI53ICAggggAACY0WAZMJYGemx2E9buBLTHlKiQ333VXhSulYnpTtU+v4L+SosMU2ZDgXnJVt4ktJXJ8ld0TnUP4/2dagHFEIAAQQQQAABBBBAAIFRJvBB/gfD7pFx7ouLXxz2+ZyIAAIIIIDAaBcgmTDaR5j+IWACgeyckyaIkhARQAABBBBAAAEEEEDAkwUaWxr12yO/HXaIxrnPPPSM/G0Dzm0fdv2ciAACCCCAgNkFSCaYfQSJ360Cnn7T29Pj62uw8rZt7uswxxBAAAEEEEAAAQQQQACBIQnkl+QrryFvSOf0LGyca9SROSOz52GeI4AAAggggMAtAUtnZ6erd5wFGwEEEEAAAQQQQAABBBBAAAEEEHCpwLrfrdPuyt331cbayLXa9dNd91UHJyOAAAIIIDBaBQba+XW09pl+IYAAAggggAACCCCAAAIIIIDAKBI4VnrsvhMJBoeRjDDq4oEAAggggAAC9wqQTLjXhCMIIIAAAggggAACCCCAAAIIIGAigY+Of+S0aJ1Zl9OCoiIEEEAAAQQ8QIBkggcMAiEggAACCCCAAAIIIIAAAggggIBnCNQ01XhGIESBAAIIIICAhwmwZ4KHDQjhIIAAAggggAACCCCAAAIIIIDA0AQaWxp1sfJir5NS/pDS63V/L4q2FPV6a2LkRPnb/Hsd4wUCCCCAAAIISFYQEEAAAQQQQAABBBBAAAEEEEAAATMLGDf/k2OTh9WF4Z43rMY4CQEEEEAAARMLsMyRiQeP0BFAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQcIcAMxPcoUwbCCAwqMCvLZZBy3QX+I/Ozu6n/EYAAQQQQAABBBBAAAEEEEAAAQQQQAABNwgwM8ENyDSBAAIIIIAAAggggAACCCCAAAIIIIAAAggggICZBUgmmHn0iB0BBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAATcIkExwAzJNIIAAAggggAACCCCAAAIIIIAAAggggAACCCBgZgGSCWYePWJHAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQMANAiQT3IBMEwgggAACCCCAAAIIIIAAAggggAACCCCAAAIImFmAZIKZR4/YEUAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBwgwDJBDcg0wQCCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAmYWIJlg5tEjdgQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEE3CBAMsENyDSBAAIIIIAAAggggAACCCCAAAIIIIAAAggggICZBUgmmHn0iB0BBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAATcIkExwAzJNIIAAAggggAACCCCAAAIIIIAAAggggAACCCBgZgGrmYMndgQQMKdAS2OjPvq//1dNNTXD6sCb//qvvc5b8U//pMj4+F7HeIEAAggggAACCCCAAAIIIIAAAggggAACzhMgmeA8S2pCAAEHBSovXtTxf/93B0vfW6zoN7/pdXDyokUkE3qJ8AIBBBBAAAEEEEAAAQQQQAABBBBAAAHnCrDMkXM9qQ0BBBwQiJw4UeMWLHCgpGNFxk+Z4lhBSiGAAAIIIIAAAggggAACCCCAAAIIIIDAsARIJgyLjZMQQOB+BGz+/pr14ov3U8XtcyPXrtXkOXNuv+YJAggggAACCCCAAAIIIIAAAggggAACCDhfgGSC802pEQEEHBDI2LTJgVKDF1n2i18MXogSCCCAAAIIIIAAAggggAACCCCAAAIIIHBfAiQT7ouPkxFAYLgCQeHhmv2//tdwT+86z1gqaUZm5n3VwckIIIAAAggggAACCCCAAAIIIIAAAgggMLgAyYTBjSiBAAIuEli4YcN91Zz1y1/e1/mcjAACCCCAAAIIIIAAAggggAACCCCAAAKOCZBMcMyJUggg4AKB2ORkGXseDOdhzEqYu2rVcE7lHAQQQAABBBBAAAEEEEAAAQQQQAABBBAYogDJhCGCURwBBJwrMNw9D4wNnI2NnHkggAACCCCAAAIIIIAAAggggAACCCCAgOsFrK5vghYQQACB/gWMPQ+MWQYNeXn9F+rjHWdt4NxH1Q4d6qgu1tFvjurwwSLV3TrDO+5BLZ81Q9PnJymsV6q2Tife/G/tLGocsG7vlKf1L8+ladzdpTqqVZx3SF98lq/y9ptvGm09uuRhLUgKU6+m7j7X2a+NWI7m6+jhL1VUdzsYPbj8Qc2YPktJYT3/WRlF/Xa2I/UhgAACCCCAAAIIIIAAAggggAACJhPoedfHZKETLgIIjBYBY++DPevXO9ydRS+/LGMD55F5tKn6xHv6y84Tt5MI3XG0l+fr0/J87St8XD/5QboinHGXv+mCPn99hw6WN3c30/XbaGvPGyd14pHn9cKySfLr9a5rXnRUH9c7f3lfp7uTCN3NtJcr/9Ny5e8r1OM/2aT0CCf80+JB/e7uJr8RQAABBBBAAAEEEEAAAQQQQACBsSzghDs+Y5mPviOAgDMEjL0P9gyhorTHHhtCaScXbTitT3YbiQRfxT34uJ54dJZi/YysQYPsx7/QR+/nqfziAX12coaeSwu+2XhHna5WtEgar0e2/EjLYm3/P3t3AhXVlecP/EsVO4isAgUqKouoiAJCFBfEjSQSCRpjNBpbo510ku7558Rkumd6+vR0d7oTPT3/nqQnPdr6j1sWW2kNMaJGBcEFQVzQIAoiYROQRUA2ofifV1RBAQUUUAW1fOucSlW95d77+7wnqXq/d+9Vs1E1yDz6tSyRIPaYhejnIhAosQaE3gHnTyI+KRtFF5NwI1BDF/D7bFUNbp88KUskdGkLpGgsvonT3yUgoygPp09nIUDRu8Ig4u4ThSspQAEKUIACFKAABShAAQpQgAIUoIDRCGjivlmjwWKgFKCAdgSEuQ+E3gbqPPy2bYMwcfPIPJpRfDkF2a2A2O95rI2eIU8kCK2xhiRwKV5cMgFiNCDndj7qh9hIaXE6zgpDI4n9sWJtVHsiQShT5ADviBfwcuyziFoyGdZNQqJCu49e2wIRLCUz8PyLCzFWDLTmZCG3XjqkxvRa1wjEPaRAuDMFKEABClCAAhSgAAUoQAEKUIACFDAgAfZMMKCDyVAooM8CwTExuPzOO/2GELZ2bb/baG8DEazGhSEqqgXWYyf1nNsAIlhZtw841FpajmopYC2kbBurUFYrZCCc4GKv7p/dZjy8k41qiGE/Zw6mygpSjswakoBQSJQXafO91TjMjopCm/VY+PRoCyCysm73aK1AeXULYG1uGHFr05RlU4ACFKAABShAAQpQgAIUoAAFKEABPRJQ96qWHoXEplKAAvoo4OzpCaHXQfb27b0233nFCkyYMaPX9dpfYQoH7yCEefdfk9jVBfZD6fslLcOdzAoATgiYPGZ4J1lWEZ7IwRuhagU+kISJiop0LG4VLeQiClCAAhSgAAUoQAEKUIACFKAABShglAJMJhjlYWfQFNBNAaHXQV/JhMht23Sz4YpWSR8hM+0+WmEFv6njVfRcaEb5vXSczbqE5Oxq+V728JsXjpCZM+DtoPQnWdGbQbZVGxqLM3Hx/NmO/cQeQVgUFoyZAZJhmXxZEaLq1xZUZF5Djmz4J39M6tFzwVDjVq3BpRSgAAUoQAEKUIACFKAABShAAQpQwBAFhnLfrCF6MCYKUGAEBYReB0LvA1UPYbl/eLiqVTqyrAUVaQk4XdAE8dgFWDJVPvkyAGl1OUpbAbTmIvnoiY6EQHvDq5GdfBwH/7oPZws7Z1no2EfsAJvyU/hsV1yX/VqLMnAqbg8+i7+HxrCSE34AACAASURBVBEWkFZcxbHTeWgVT8CSJf4dSZSOGAw07hFmZ/UUoAAFKEABClCAAhSgAAUoQAEKUGBYBZRugx3WelkZBShAAZUC4T/7GY4dO9ZjXciGDT2W6c6CehSe/QqfJxcAHguwce0sOKlM1VrAI2ghIuYGy3shSNFYfBOnv0tARlEBkv+RiHFvRsHbUnnnIlz83hzuC9Zi43wfOAirpFXIOX8S8UnZqMlIwGl/CaK9bUaAQ4rGwvM48HkSijAW8zauQpiTqv+tGFrcI0DNKilAAQpQgAIUoAAFKEABClCAAhSgwAgLqLrqM8JNYvUUoIAxC0yZNw+nZ81CfVpaB4P1rFmY+eyzHZ916o20ApmHDyAuqxpiIZHw6nx4dkkGACJJJH7xm0gVzRbBUjID0a/aAJ99jYyaW0i/NxfeAZ29GtDaANHMl7E6wrNz3gSRA7wjohFdW46DGZW4kX4fi7wDOnoEqKhIC4taUJX5DT6Py0SNWEgkrEGkp3WXegwz7i4h8gMFKEABClCAAhSgAAUoQAEKUIACFDAaAeXbX40maAZKAQroroC5lRVC3367SwOFz8JyXXtIq7Lw3Z5diMuqhZ1fFDapSCSo1WbL8QgOdALQjNLyGkgBiOxd4CoW9u5tAmYbTAyeCnth9KTSclQLOw3XQ1qFe999jr8KiQQ7f0Rt6plIUKsp+ha3WkFxIwpQgAIUoAAFKEABClCAAhSgAAUoYJgCTCYY5nFlVBTQa4Gg5cu7tL/75y4rR+iDtOoGDn9+BGlFgMe89XhzTRgk3XokDLxpragtq2qfA8HSAWNGybIJ/RdT+wgVjcOUTZD1xNiHL2SBL8DmN1chTNK1R0L/De6+hR7E3b3J/EwBClCAAhSgAAUoQAEKUIACFKAABYxMgMMcGdkBZ7gU0AeBUY6OiDpyBAkrVyJi714In3Xq0XgPxz+PR1bNKPjHvopVAU6dQxANqaFijBrjAEuhDJEdXFzNgepalFU0AhLz3kse5QynIScyei++c80T5Bz/or0nhn8MNq4KbJ/DoXODQb7T9bgHGRZ3owAFKEABClBAAwJS1Gcexp/jstDaV2lif8S+uwoB1qrul6tHceq3+DohCzUYg3lbNiOyr+9WwvxU6RlIv3AJ2TXyWsUeCFoUBP/J0+VzX/XVGK6jAAUoQAEKUIAChinAZIJhHldGRQG9FwiLjcWUigrdSyRIy5D6xRFk1JhibNQraiQSmlF8djd2JVfALuhlvBnt054sUD5Cjfm4eqOi25BGtpg01Qvi7CzkpGWhYmpYt0mdn+D+1duohhj2Ab5wU/W7WbmOIb9vQUXqEXyVUQnx2Chs6DeRYChxDxmOBVCAAhSgAAUoMJICwvCMCUfwdVpR38kIeRvbe58KN410S120FiHjVBEyztxC1JtrEeakSz+lW1CVcx3X0i8gObtaHokFPILmYrr/VIR4Oyjd+DLU5IxQ11WkJJ5DRlFTe11ComVJBObO8tbQjSYjecKwbgpQgAIUoAAF+hLQpW9AfbWT6yhAASMU0LkeCZCi/nYiThc0QewXizVhY5R+mPV2gMzhNtkP9snJqM44ggOIwnNLpsuHRFL6MVbTCvHYIAS6KXogiGA9dQ7mnL2L5ILT2HeoCdHL5rTfCSfcLXf+JOIzKgGMQcBkddrRW/vUXF6fhdOn89Aq3PW3Zla3xIaqMgwkblWhcRkFKEABClCAAsMo0ILq8gq0CjdQzNuIdyI91fj+1d48YX6rhCPHkFZkBf+lc9FyJgX3uuUIugZSg9snT8oSCWKPWYh+LgKBsuEcpWgsvonT3yUgoygPp09nIWBNAIY60GPXugf5STYE5QHEZSmSCIpymlCUcQZFGSm4FbUJG9X63qrYt7fXehSe/QqfJxd0TcwIiZaEg7iRuQAbBzuHWG9VcjkFKEABClCAAjolwGSCTh0ONoYCFNBpAWkxLp+92/7jKTsO238b10dzO7vQiyTzsSG2Gp/HZaIo4xh2ZRzruZ9dAFa8GNz1Ir3IExGvLsGDzxJQkH0OB7PPddvPHv6xqxHRVzf9bnsM7mMzii+nIFv24zsLcdt/h94jV/qhr/dxD06Le1GAAhSgAAUooAsCQmIgHmm1ExG1ZTnC7HPx1Zm+2yUtTsfZ7AZA7I8Va6OUhkwSwVIyA8+/2IRy4XtZThZy66cqre+7XO2tFW50OYNjQiJB6B0Q/RyWBErae8E2FuPG6e8Qn1GEgtOJuB2gGAJqsMkZoUfDt+2JhC51CTfHXMTJ+PPILrqMUzemaChxoT01lkwBClCAAhSgwOAFmEwYvB33pAAFKKCmgCkcAmLwppMvrl29jDMZSt3s7fwwLzwEM0NUdwsXOYVh41tOSL+WjgvJ2aiR1SiGnd8cLJ7/DAKGPPmxmiEMajNjjXtQWNyJAhSgAAUoQAGVAo2oKKsFYA5XFzu1eyUIRZmMmYfNMWHwFOaWqldZeNeFVuMwOyoKbdZj4aNi7gWRlXV7b4TWCpRXtwDWih6lXYsZtk8dN7pYwW/FakQH2HVWbSlB4PMvoLF8DxIKHuB2bh0ClNd3bqneu17rMoWD91zEvOyIGwVPAOsWNAM9h/VUrxZuRQEKUIACFKCAjgswmaDjB4jNowAFdEhA5InIX/w7IgfVJOGOtmmYLTyjB1aAyMEboZHCc2D7aW5rc0gi38RvBlW/PsetOUGWRAEKUIACFKDAcAvYYVrk7AFVKvvOFebd/z5iJ7jY68JPaRuMm70EUW02GOtj27PdIktYy5IizSgtr4EUQjJmcMkZ6cO7yKxuBexDMH+qUtJCVmv7970wSc8mcAkFKEABClCAAoYloAvfgAxLlNFQgAIUoAAFKEABClCAAhSggMYFpOV3ceVsTrfemrMRHhLUbZJhjVcNoAUVmdeQ0wqI/fwxSUXPBW3U2meZIgd4h4ah//THwHt1dK23GQ/vZKNamLciwBduoq5r+YkCFKAABShAAeMRYDLBeI41I6UABShAAQpQgAIUoAAFKKBfAtIalJcKA+e04l7ycdzr0vpW1GSn4ER2Gm7OewWvRo7X2vA60oqrOHY6D63iCYha4q8bky93sej5QVqRhbSc9jkgpk7q2XNB/eSMojeDvI7GYmRePI/vFUNwCnMoLHoGwTOnQCIMKcUHBShAAQpQgAIGK8BkgsEeWgZGAQpQgAIUoAAFKEABClDAcATEHkFYEjEXs7wd2udOUJpkuCj5G5wetwnR3jYaDliKxsLzOPB5EoowFvM2rkKYkx78jJaWIe3YORS0WmBsVASmKnpSDCY507GPOVxtinH8s1PIqGntdG4tQsapI8i4/CPWvRkFbyYUOm34jgIUoAAFKGBgAnrwLcjAxBkOBSjQQ2DW1oM9lqmzIG3nOnU24zYUoAAFKEABClCAAvoq0NecVcIkw9GvwAZ7cDCjEjfS72ORd4AGew20oCrzG3wel4kasZBIWINIT2vdl2zMx9kDXyK5CPCY9wrWho1ROXH1wJMzLSi5mAy4z8e6jXPg7SBcTmhBVc5FnIw/j+yaDMSf9sGb0T5a6yEyUPy237QNdBduTwEKUIACFKBAHwJMJvSBw1UUoMDwCcyfM3VAlZ2/eHtA22tz48EmQwbaJl1Lnhhr3AM9btyeAhSgAAUoQAFtCthgYvBU2Gcko7q0HNVSQHET/pBqlVbhXsIRfJ1WhFY7f0S9vBxhEt1PJEirbuDw5/HIqjGVJRJ6DP00pOTMU9SInsGW1fMh6RjNyBQO3nMRE12Hzw6moebGNdxbNAkBGjkIQzqC3JkCFKAABShAAS0IMJmgBVQWSQEKGJ/AQJMhAxXSpeSJctuNNW5lA76nAAUoQAEKUEBHBGofoaJRCslQL2RLK5B5+ADisqoh9liAza/Oh6fOD93Tgqp7Z3Dk68soarWHX9RKxIR5DqKHgKrkjB1cXM2B6uZeJmAWwXLidATaZyC5ugLl1S2AtbmOnBRsBgUoQAEKUIACmhRgMkGTmiyLAhSgAAUoQAEKUIACFKAABUZGYJQznIZ80f8Jco5/gbisWtj5x2DjqkA4dNyFPzJh9V9rt+GYNmtoOKaO5IwlnMaMArIr+m8KalFW0QhImExQA4ubUIACFKAABfROgMkEvTtkbDAFKEABClCAAhSgAAUoQAHjEJAWn8Unu5JRbTerl8l9n+D+1duohriXu+YH4tSCitQj+CqjEuKxUdigF4kEKRpzTrXP62AXgNiNLyBANpfBQOLuZduO5Iwp7F2cIEYZasuq0AjPPualGIUxTpa9FMjFFKAABShAAQrou4DO32Oh78BsPwUoQAEKUIACFKAABShAAQoMTkDk5osAezFQk4avDiTgRnF9R0HSqhykxn8pu/gP8Tg8E+imcqLhjh36e1OfhdOn89Aq9seKNbPgpAe/lqUVafjiqzTUiCcgakP/iQQhOfOX3/4Wv/2v75DTKFUhoio5I4L1JH94i4HWnGvIrGjptp8Ujfdv4kZ1K2Dvh8lu7JXQDYgfKUABClCAAgYjwJ4JBnMoGQgFKEABClCAAhSgAAUoQAEDExB5ImJDNB4JkwoXpeHorjQc7RGiPfxXPI9ZTp0/bzt6NPTYtgzJu/6I5I7lYzBvy2ZESoDiyynIbhVWZCFu++8Q17FN9zdi2M/biHciPYeWvOhe7IA/1+D26SQUtFrBLzYGYUrx91ZUe3LmIpKrheQMEP1cBALlE0sLyZm0lESczqgExBO6Jmes/TB/zhhkJ+chYd9hNEQvw3xvB4jQgqqcizgZn4EajfQO6a3lXE4BClCAAhSggC4IdH7b0oXWsA0UoAAFKEABClCAAhSgAAUoQAElAZFDIFa/6YLMa1eReiYDRbIL/sIG9vCbF46QmTPgramhfZTq1fW30uJ0nM1ukDUzO+6/8Nvesx+A/TxseScSkkEmZwBzSCJWIurBHiQUZCPpYDaSugCJYecfjQ0RI51g6dIofqAABShAAQpQQMMCTCZoGJTFUYACFKAABShAAQpQgAIUoICGBSwlCJgtPKPVKlgkicQvfhOp1raKjSSRb2KAuyh21avXQSdnRGMQtvGncErPQPqFS8iukWd17Pwwb/F8zAmQgLMl6NWpwMZSgAIUoAAFBizAZMKAybgDBShAAQpQgAIUoAAFKEABClBgZAUGkzDpaPEAkzMd+4kc4B26SPbsWMY3FKAABShAAQoYjYAeTCllNMeCgVKAAhSgAAUoQAEKUIACFKAABShAAQpQgAIUoAAFdFKAPRN08rCwURSgAAV0W2DW1oOyBp6/eLujofPnTO14L7xRXtdlBYDu2/a1vVBX2s513YvgZwpQgAIUoAAFKEABClCAAhSgAAUoQIFhFGAyYRixWRUFKEABClCAAhSgAAUoQAEKtAsobk4wBA/e+GAIR5ExUIACFKAABSjQnwCTCf0JcT0FKEABClCAAhSgAAUoQAEKaEVA2xfhFQkLVb0iNRVQX70xNVWHuuUo4lV3+8Fup+3jpk67jClWdTy4DQUoQAEKUGA4BJhMGA5l1kEBClCAAhSgAAUoQAEKUIACFBgGAW0mToTm61LyxJhiHYZTh1VQgAIUoAAF+hVgMqFfIm5AAQpQgAKDERjojztV2ws/VnXhzrfBxM99KEABClCAAhSgAAUoQAEKUIACFKCAIQmIDCkYxkIBClCAAhSgAAUoQAEKUIACFKAABShAAQpQgAIUoIDmBdgzQfOmLJECFKCAwQsIvQWEcWpV9SYw+OAZIAUoQAEKUIACFKAABShAAQpQgAIUMEIB9kwwwoPOkClAAQrog4BiPF4haTFcE+zpgwvbSAEKUIACFKAABShAAQpQgAIUoAAFRkKAyYSRUGedFKAABShAAQpQgAIUoAAFKEABClCAAhSgAAUoQAE9EmAyQY8OFptKAQpQgAIUoAAFKEABClCAAhSgAAUoQAEKUIACFBgJASYTRkKddVKAAhSgAAUoQAEKUIACFKAABShAAQpQgAIUoAAF9EiAEzDr0cFiUylAAQroioBiDgPFvAZCuzgZs64cHbaDAhSgAAUoQAEKUIACFKAABShAAQpoXoA9EzRvyhIpQAEKUIACFKAABShAAQpQgAIUoAAFKEABClCAAgYlwGSCQR1OBkMBClCAAhSgAAUoQAEKUIACFKAABShAAQpQgAIU0LwAhznSvClLpAAFKEABDQgIwyYJwyil7VyngdJYBAUoQAEKUIACFKAABShAAQpQgAIUoMBQBNgzYSh63JcCFKAABShAAQpQgAIUoAAFKEABClCAAhSgAAUoYAQCTCYYwUFmiBSgAAUoQAEKUIACFKAABShAAQpQgAIUoAAFKECBoQgwmTAUPe5LAQpQgAIUoAAFKEABClCAAhSgAAUoQAEKUIACFDACAc6ZYAQHmSFSgAIU0LSAMI/BrK0HIcxroK2HMF+C8BDqER6cO0HGwP9QgAIUoAAFKEABClCAAhSgAAUoQIEREWDPhBFhZ6UUoAAFKEABClCAAhSgAAUoQAEKUIACFKAABShAAf0RYDJBf44VW0oBClCAAhSgAAUoQAEKUIACFKAABShAAQpQgAIUGBEBJhNGhJ2VUoACFKAABShAAQpQgAIUoAAFKEABClCAAhSgAAX0R4DJBP05VmwpBShAAQpQgAIUoAAFKEABClCAAhSgAAUoQAEKUGBEBDgB84iws1IKUIAC+i2gmBRZMUmyEI02J2PWby22ngIUoAAFKEABClCAAhSgAAUoQAEK6L8Aeybo/zFkBBSgAAUoQAEKUIACFKAABShAAQpQgAIUoAAFKEABrQqwZ4JWeVk4BShAAQoMVkDo6SD0fEjbuW6wRXA/ClCAAhSgAAUoQAEKUIACFKAABShAAQ0JsGeChiBZDAUoQAEKUIACFKAABShAAQpQgAIUoAAFKEABClDAUAWYTDDUI8u4KEABClCAAhSgAAUoQAEKUIACFKAABShAAQpQgAIaEuAwRxqCZDEUoIBuC3z44VFUVzdixYpAhIf763ZjNdC6yspa/OlPx2Fvb4lVq0Lh6yvRQKksggIUoAAFKGAcAlVVVbh79y6sra3h5eWFUaNGGUfgjHJYBPbtS8KtWyVYvHgy5s2bAisr82Gpd6QqUcT7zDMT8OyzMw0+3pFyZr0UoAAFKECB4RBgMmE4lFkHBSgwogJ37xbj3/7thqwN27dnY8UKZ2zYEGLQP2YSE3+AEKvwEGJ//fVx2LjxGaNIpIzoycbKKUABClDAIAQqKytRXl4uiyU/Px8uLi7w9fWFg4ODQcTHIEZOQPhe+tpribIGCN/VZs06jbffDsXy5UFwdDTMpJUiXkCI9zw2bJiOtWvnGGy8I3d2sWYKUIACFKCA9gU4zJH2jVkDBSigYwLHjj3CypUJWLDgLxDulBLu4jf0x9///iPmzj2EmJi/Ii4uFQ0NzUMKWTEpsjBJsuI5pAJV7CxMviw8Zm09KHuq2ISLKEABClCAAsMiICQWLly4gHPnzqG4uHhY6mQlxiGQllYvSy44Of0Zn356EkKywZAfQrzvvHMZQrxCz2FDj9eQjyVjowAFKEAB4xRgMsE4jzujpgAFABjbjzfhoCsnUoQfrMaQSOHJTgEKUIACFNCUwJMnT5CRkYGTJ08iNzcXLS0tmiqa5VBAdpHdz28X3n//K1y4kGXwIkLvWSHeLVv+n1HEa/AHlAFSgAIUoIBRCHCYI6M4zAySAhToT0C4Qwq4jG3b/IxiXgUhkZKWdln2o/UPfwjkvAr9nSBcTwEKUIACFFASePr0KbKysmTP8ePHw8fHB5aWlkpb8C0FBi8gDH+kGJrzZz8LN/h5FYQetMLTGIYiHfxZwT0pQAFdFJCW5CD+0kPcO5aCbfualJpoj/d3h2JO4GREBztguO7k1qn2lKTiNUkC9impqPXW3QPb/zsAEx3HYmmkBLZq7aSBjbq0dzyOFK9HrLt4UAW3XI3H5JAM5Ap7TwpC+p1oBA/oCnwjru74DCHbagCYYcORrdgb6zyotmhjpwGFoo0GsEwKUIACmhAwMfmtJoqR/XDThx9vmopXQBPuChOexpJI0ciJMgyFfPvtt8NQC6ugAAUoQIGhCghzKhjNvArNlXiQnYfSBjHsx3nD280WnT+z61GQeh43MRWLw8bCYqiwery/pr6nCT1Kjx07JptX4V//dT4iIqbo5DwDmo03gfMq6PG5z6ZTwHgE6nE37lv8dGUW2mfB6R55NT7efArAKbhveAZH/7QIoe7avASra+3p7jGAzyVF2PZSUfsOEX74fMcyrB/GhMwAWmq0m2rzTDZaVAZOAQrov4DyjzdDnxRPcbQGchecMI+B8FDMayC8F+ZO4IMCFKAABShgrALCvArC08bGBn5+fpBIJIZF0VyA8/u/xLnChva4TOzhvehFxIaPg5VsSQuq827iGjywMGysYcU+wtEIPUqF+b6ABHzyyTOIiQmGp6fu3KGoaR72oNW0KMujAAU0K/AEV3fsQci2yvZiI/yw+9fzsbrjLnop6u7exqHdZ7H542qU7LuMsB9bkR4fhWBbbfRR0LX2qNJW907/etw9m4mUk5dldkjMxsaQcpSnb8J7wTaqCuayERDQxlk8AmGwSgpQgALaETDWeRWWLTtmVBNUa+fsYakUoAAFKGCMAoY5r4IU9TlpuFDqgjkvbcZb72zFukXuKDvzFQ6llqLVGA/0CMUsDM05duxfZfMqXL+eN0KtGL5qFfMqGMs8EsMny5ooQIHBCUhRdzUJ73UkEmYhPX41NnUkEoRSRbD1DcCmP76KM7+0b68mMQPv/S0XdYOrtI+9dK09fTRVrVXW8I0Mw6aPtiBr91i4y/apxLb3knC1TqpWCdxI+wJMJmjfmDVQgAIGIiD8eFNMimcMP96MMZFiIKcqw6AABShAAR0QUMyrcObMGWRmZqKxsVEHWjXYJrSg+mEpWieGIHyKJ5wd3eEdHoNXl0lQdOYELhTpc2yDNRnZ/YQepTNn7kNMzF9lkxc3NDSPbIO0XLsQ79y5h2Txnjp1HYYer5Y5WfwIC1RW1soSgh9+eJSTj4/wsRh49XW4cuiWfGgjR2zfsaD33gYiJ0RsDMBSWSWtSPzbHWS3DLzGvvfQtfb03Vr111pj8sal+P1S+WCKibdw6IrmUzHqt4dbKgswmaCswfcUoAAF1BBQ/Hjbty9Jja0NYxNFImU4kyiKYZPSdq6D8OSDAhSgAAUooI8CQlJBmFMhKSkJtbW1+hiC7C5LMwsLoKkJTzsiMIdL6POI8atF4uGzyKnnHYMdNMP4RhiaU7jI/vOftw9BOYxVj0hVQrxCD1pjiXdEkFmp1gUSE3+QzdUn9Lxhkkzr3JqtoCYfJ/fLh/ub5IWFgX0PvSPy9sXLigviuRXIL9dwXz5da48mtUXOCFyi8G3AkYwyaDwXo8n2GlFZTCYY0cFmqBSggGYFPv30imYL1IPS7t8v04NWsokUoAAFKEAB3RMQkgplZfr6/1FTOHhNgEP+JZxOzUNVszxxYOKAKc89h1DxdRza/x1uV/Fn/kideTduPBqpqkek3r///ccRqZeVUkAbAook2YIFf4Fww5rQc0HbD2lJDo7FncEHC38PYRL19ufvsfCDM4g7W6zWcDyqyxDK+hNe25GCuGM5KOk1z9yIqzv+S17vZ9hzV967qq4YZw/H4zWJok3Ca2/tEuYK+ERexsf44GyNemw1mfhAUb7kEM7W9NrInuWJnLDs0ygcORKFIzuD4dffTLQiS9i7qbj0WncPOxT2kn2IK+rn/5/SMsRt/pM81j9hc1wZZK3WVHt6Rqp/S4RzJy4FO15TOCnOIfn5qOZ5rX+BD3+LVZzRw98I1kgBClBAnwRWrHBGSspqJCX9Qp+aPaS2btvmJ4s5NjZsSOVwZwpQgAIUoIAxCgiTMYeHh2PSpEl6G76px1y8EuOJgpP/wMlspaEGrCZhydrlmPI0H9llnf0W9DZQPWv4rFnWsotaxvK9VIh3794IVFS8q2dHis2lQP8C3YeZLSzUQpJQWoUr//V3eEoOImZlCj5OVL5TvhWJH6dg5aJd8H3tJK6U9HKBu88yhDibsG/bGayMOQjJokOIu1vfT/CNqKxtQd2dRLzmuwuLXsrAvhLlXRTt2oPoX91QSlDYYOYLU+XDCDXg44/ScbffvIAUNelZ2C8v3329P0LsBnBp1FaCyNgwCL+LY7vMk6DcXqX30kZUP5Q3yt0a9jYm7SttJ+GNHUGIED6V5OHt/7iKol7b3oKiowl4e08TADEitq/EX2LHQNZqTbVHqcm687YZj8sV3yvEmORo2R5zjwbW427cISwctQuLVp7Btn2Ck/JDfj72d14r78L3fQr0l0Prc2eupAAFKGBMAsIF9RUrAhEe7m80YX/yyTNYujQAvr4So4mZgVKAAhSgAAU0IWBmZgYhieDj4wNLS0tNFDnCZZjBcfoKvOVVjipYdWmL2HE6Yra6Y0pmHqpt3WHeZS0/aENAuLll27ZIBAVNgpWV4YsL8f7sZ+GYN2+KUcSrjXOGZeqXgDDMrPAUfoOuXRuGGTMmaCCAJ7j65wMIk08e7L5hFvb+WwSW+Fq3ly3c2X3oPH63ORuJ+y4j7MdWpMdHdZsToGsZiPDD7n8JwbPR3nCXX5MXeiwcPZiIt7cVoSQxCysj6rD77BpsmiyvR0UkLXmX8YufJ+P0kiAc+flcxAQ7yC8c1+Pu6UT84bU07CtpReIfT+DfQ9yxS34xvX0YoYs4daoVOJWNlJy58PXt629iHdJPPkB7LsEK65eNh52K9mhqkTTnLr4W2iY8ApzhaatIXIhgG7wUB448wqyVeSjZcxqv+jsi/j0f2HarXFp0Ff/xdl57myOCsOONST226bZLrx97b0+vu4zcCuUhnDAaSwIV54Ryk+pxZ89XiNxcIPdRfT7Gn0jH/1Wc+uuCjwAAIABJREFU16dLcSRtLWI9eElcWXIg7yk3EC1uSwEKAJCiuepHZOeWocHUHuN8JsLNRulPSVMBUr+/DUyfj7CxvX9Z0CdKY7ugLtzx9fbboVi+PAiOjqNUHiphDoNZWw9CMa+Byo24kAIUoAAFKGCEAkISwdvbG+PHj4epqdJ3JIOwEMHczhWuqmIxd4FvsIuqNVymQQHNXljUYMO0VNTrr4/Dxo3PGNXNPFqiZLEaEhCGAxrOhzBfn/AcegJRirqrSXhPkUjYFIW0XWHwUFzbFoIS7nLftAp+9l+0X+BOzMB7f/NRusDdtQxEBODMFy8g0r3r/+tE7t6Ifc8LYRPl5ZQUYPMvLmPuiUj4dtRnBslEBwDC0EQ1+OVLFxHxyxhc/X1gR1Ki3dkavkui8MmBOpxelIUSNGHP/97CBzHyskRjMPdlJ+CUMIxgBb5OKcNGX89e7mAXqlKa82BpCDZHaDGVUJePz/9wBadkgThi+4dhSvELC03hEROFTzftwco9TUjcloC/LZTgvWDFPAHC5ZcyHP2Pc9gjZD/cx2L3ZxHdkjvtSmr9t9/2qFXK8GwkrcDZP53Fx4oeJJtC8cpMJRdZK4TzMRFvdiQSej8fV2zyQqjXN1i7KBOJ8p4gYd3P/+GJzCBq6fhnbBDRMAgKUEDLAm1oLrqA/Z/tQ9zxEzhx7Evs3HkYFwqedNbbWo28azeRV91Ll8jOLXX6nXIX6rffXmYUd+YLX1BPnlwhG75pw4YFvSYShuvAnb94W1aVkLQQnnxQgAIUoAAFdFnAxsYGQUFBWLZsmWw4I8NLJKiv31b1A76PP47vf6hEm/q7ccs+BISbWwoK3sLHH6/R0B3KfVSmA6v+8IdAZGdvwa5dP2EiQQeOB5sw8gKKydaFeRXi4lIHMa9CHa4cuoVEWSiOePdn07omEjpCNIXH0tl4N0IMoBWJf76GK4o5BaSPcOp/bsrLsML7v17cI5HQUYzsQnkkfq+YfPhUOnYn9jGngbsvfv2vAd0SCYrSRLAL8cd6d/nnzEcorFOMCWQO72VB2CRb14pTX99FjmKVYveOV+UhjsRY+rIvvLVxVVQ2dv8ZfBC9H5tlQ+7Y45dn1uJd5SSBok2iMYj5z4Xy9ldi23tJuNoRm/LwRhbY9OlybOyjd4eiyB6vA2lPj52He0E97p69gB0/2YVFf6xurzwiAAd+H6zifO16Tm/fsazP89E9cjF+/X57z8qSPRk4mSOfp2O4QzSA+rqmDw0gIIZAAQpoU6AOOZfSUOo6Gy9FzYCbuApZSQk4s/+fMN2yGmEufXUn1Ga7gLa23/Rawd27xfDz29XreuUV+tKFuq94hXiEL5grVyYoh9bre2McvqlXDB1asXz5ch1qDZtCAQpQwLgEcnNzkZWVpVbQLi4u8PX1hYODcIclH4JAW8ND3M64BtgEInKKI+QjRBsNTl/f0wbyvVS4ueVf/3U+IiKmjPhNHn0dvL7iFfZT905uId4NG6Zj7do5Oh1vXxZcRwFtCwjzKrT/zkuAkGSMiQmGp6dz/9Uq35Hv7oogn67D1XUpwNYVQaHmQGIDUPIAJ9PrEBlpB5Tm4Zhs3H7hLnkvLAvpPiBPl1KALr0GmnH9QQ2ksFPZa6DfuQtsHeAXIAZKWoGSelQ/aYNifCKRhz/WrU/Cno8b+h7qSFqMwx/dlQ9x5ISX58rnHejW7IF/fIS413Zi5T7F+P7yEtw9sP0fQVgYPh3B3XpvKNch8piFv8RX4H5IGhI7eoNMAu6k4Ffy4Y3cNy3Ef8ao296htUe5bZp7n4+Vkt8PsDgxIt6fjx3/Mke1n/I5vXQqXujRc6F7dbYIWeYF94+FHi5q9GLpvjs/dwgwmdBBwTcUoEC/AtLHeFjUhomRYZjiIXQHdEH4qtEwPbAPZ75Jhef6ufDotxDd3MAYL6gLd3ytWhVqFL0udPOsY6soQAEKUECfBYRhjAxnPoT+j0RrTTEelNWr19OgohJPIQUqC3E/p1FeuBjWYzwhsTPrvzIj30Jfbm7R1GES4t2wIQTPPjuT8yFoCpXlGIWA8rwKr78+v8/fdS33HuCIfMgYLBkP/z4nHbZD5Efvo+2jrowtxWW4oFjUZfx/xcLur6Zw83KCO8pQglacSipC6SZPKDoYdG5thiVh7orcQOdi5XciS9i7Cd0IlCeMVmyg3kVi5fkC3DcFYZm3lm+GLCnCn+Nd4WVmB4nSnBKKVne+CvMnLMCO7bkI2VbZPtxRUDjwu5T2iah7vTO/swS13qndHrVK095Gwjwc7/gicHbfSZgu57SbDUb128tEBFtPZwQIc16jFZnZVaiDZ9/nnfai1OuSmUzQ68PHxlNgmAVMzGBhCTQ1KWXcxa4IjXkWhXvicfiUK7ZEDnObhlidMc6HwDu+hnjScHcKUIACFDBaAcOeD6GvwypFU34KvozLUnkZp9c9b5/EwfZRCwFYwS/2DawJYDKhNy9ju7mF8yH0diZwOQUGJqCYVyElZXUvw4K1ojy/ArnyYt3drNF99Pn+a+xWxgwXyK7t97mjCNajrdAxk+KFMhS3AH3cpN9nab2vVAyDlIWPS+RDHW307DY/QTNyUrLl8xdYYf06fxXD5vReQ99rnBG791do26vYqgUlV2/iwrkM/HxbBl7al4He5pdQ7AHYIPiNKGw//jW2JVZi26J4+SpH9D18T2cJne800Z7O0jTzbjyOFK9HrLswfJaKR00mPpgc1z5HQmI5KndEq+6N0LFr1/MR+xIg2afeyAyKIkoe1kMYsFuLs2YoqjK4VyYTDO6QMiAKaFHAxB5ePqNwJjkRqc4LMdPLEUIu32T0FDwXU4zd+/+J/fWekEoBXe7ob4xdqDV9x5diDgPFvAbCWcfJmLX4b49FU4ACFKDAiAoI8yH4+flBIpGMaDt0o3Iz2HlMxARXG/RySQB4UojM7HJgjC8CPBWXrMwwxp4/P1UdQ2O7uYW9Y1WdBVxGgaEL5OaW9ZJM6Fq2tYvSBf6uq9T+pIky1K5MnQ3tJmL1u474WJhg+lQ2UnLmwtdXqeeBtAwpX1e0l6TOEE3q1NnrNqZwDw7CquAZiFp+Hm9FJmFfYiYWrbVEenxU7xMo2/rg3QNLkDUroX3CZYgRsT0Kb6iaa6HXulWtGGR7VBWlrWV2/vj5pxOwf2UeStA+d8TCvqy01Q6Wq5YAv82pxcSNKECBdgELeCyIRUzVlzh64HtYv7sKAdZCXzIRrCYsxNoXG/FF/HVUtFnqVDJh7FhnCBfThYexdKGeNm0shKSJRGKNbdsi1fpSybOcAhSgAAUoQIF2ASsrKwi9EOzt7TkfgoxEBOuA5Xi91RrHvsvAw7JKtAbMxuKQ8bBVkVGQFp/F/ewKwG8uno/0VDk+trGea87Oo2TfS4uL6/H226FYvjzI4OcHEHog/P3vP8rGd+d8CMZ65jNubQoIvZr6G+ZIm/XrRtk2mPnCVCzdloxTKMO/787Gqo8COu467xziSIyId2citM9hnjQVkQi2k+fg336fhX2by4DEDPzq0HSc2NTb/xdbUJKajROK4aiECbCP30P2G5N6T0AMqKkDbc+ACh/ixqbwiBEm7P4cm0+1Aok38T+nQrArVr15Itzfj8UdpeM9xMZw934EmEzoB4irKUCBbgJiZ0xf+VN4lVQDFsqD0pnBMWA5trr7IzO3Brbult12HLmPVlbmOHr0LTQ0NBvNOKy+vhIkJf1Chi7Er48PoaeD0PMhbec6fWw+20wBClCAAnosIPRAcHR0hKWl7nyfGXlOa7jNWI7Xx0/C2WMncClhP+5nheH55fMwxZlO6h4fR8dR+PLLLWhoaDL4JILCZNeun+Cjj2qNJl5F3HylgLYFBtvLJzezAuXwVjF3gfotri9vQP1Ah4iZpM649uq3ofuWIm9fvLz0Ik6dakXJ/iyk/9tURMqSBspDHDlh/Qvj0c/U0d2LHsJnc3jP9cNSlOFUn/NGSFGnPOFyhB0mJNbgYseEzD4aarO67RlCyIPdVSTB6g+DsP9UGhLRhD1vJ+D5sLWI9ej/0rWuDVlkKhmDcKBjaLGBkzTjcblieHFTuNnr1jUd5SuBA4+Ne1CAAkYqYA479zGwE+5Ea65FacF95PxwHVdS03AttxItaEVtSR5yHhSjqlHVBEkjw6avF9UHqyXEa2wxD9aK+1GAAhSgAAW6CzCR0F2k/bPYwR9L1m/BxqgpsCq+hH/s3IMjVwrRoHpzLlUhIHw/E5IKxvQwtniN6dgy1uEXEIZGq6h4F7/6VUyfky53tkwMl/FOmKRY8PAJaqWKD+q+di2j5Ho5HvZbhhT1j9uTDrJa1JokV932qNhONAZzX3ZqX1HyACfT69rf12Rj97+Xtb9f6oe5g554WZgLIQNxcak4vOMAfnW2RkUjei4SjbKBW8/FXZfU5eJvb8onXHafgE8P/AT/vd1RNuF04rYE/O2qMLp/94cW29O9qmH5LILtzBC8s8mivbaSPLz931lQrdz1fMSgzmktBmVjDTfFTOO5FcgvH+B1MWkNHlxvljdwFPw8deumDSYTtHjusGgKGK6AFI2lt5D0z93Y/qc/42979uPgP47hREICEmTPEzge9xUO7t2F//7oI/zX3uNIzamA4k/hyLtI0Vz1AJnpV3Dl+l08fNLStUlNBUg9noDUAuFeCwN8NFfiQeZVpF65juyHdd0mUqxHQWoCjqcWoMkAQ2dIFKAABShAAQpoQEA8CuPCYrB16yrMkTTi9onP8beD55HzWHEXnQbqYBEUoAAFKNAhIAxhe+RIlCyJ8PbbywackDT18cJKxcXNzEcorOsrE9CMu3s+g4nJb2Fi8iFei3ska8fAyhB2acHDBxVoH7VHjKULPODaEZE23pjDe1kQNsnibMD+k/mogRQ16VnYL2uEGEtf9oX3oK+EmgD5N7FyZQJe2paLz2Xl9x9HS3EZLsg3Uz359RNc/VsCtiUKF5wtsOnTKMR42LdPyBwh3MFZiW3RRxBX1O26BbTVnv5j0toWojGI+SAUS+UVlHyciJ0qEylAl/NRNk+G7lxxgt14LFtvJY/iIY5fqkBf/+K6ekpRd+0m9gvDPQmPISXAupasqU+D/iekqQawHApQQN8EnqLy5jF89r9HkHizEPVtYlg5umO833QEBQV1PqdOgucYO5jhKWoepCPh4G7sS7iLmraRjrcNzUUXsP+zfYg7fgInjn2JnTsP40KBUqa/tRp5124ir7r7/6xHuu0aqL+5AOf3/x17475Fwolj+Grnbnx14UeluwlbUJ13E9fyqrslGTRQN4ugAAUoQAEKUMCABEQwd56CJes3Ye3CiUDuORz86/9D/PUSNI749z0DYmYoFKCATgm0tf0GQ30KSQF1H4okgjCEbWxs2ICTCB31KF/cVL5rv2MDpTfKkxXDAQum2bWv7FLGfRz8/lHfF0jr8vHNfvmkx3DCy3PVG/9eqSUDfivy8Mc6+UVc2VBHNTVIP/mgPaHh7osPVkmGMI+PGK5h/vJkBdqHUqrp7xJxM+7fKJQPdyNGgJ9Dt+GKpKi7moT3hImjAbhvWoj/jJE72U7CGzuCECGsEO7S/4+rKOpSnTbaM2Byje8g8g3Dh7JeGULR7ZMxX1WV/FI+H1GB/d/kQ94XpZc2CUmynVj4wRnExWXgaok2r/fYInT1tPZjJwzZ9Ek6rqmKQVVLpY9w6n9uIlG2zgKbfjptCAkwVRUMfRmTCUM3ZAkUMCqBlqIUfHn0JmpM3REYtQ4/e/+XeP+drdi45kVER0d3Ple9is1v/h/86pf/gi1rFmOaUyuKUo/iHxeLoc0/2f0fjDrkXEpDqetsvPT6z/DOT1/BIkkZzuz/J1LLdSiT3X8gg9hCivqcNFwodcGclzbjrXe2Yt0id5Sd+QqHUkuZPBiEKHehAAUoQAEKGL2A2B7e89fgza0rEORUhYxjn2P3iTvs4Wj0JwYBKECBoQisWOGMlJTVuHJlmyyJMPTha5Uvbjbg49+lQOUFWrSgJPFKx13R7puCsKxjWCDlMoQLpClI7PWCbD3uHErGn2V32wsXyZXLGYpMf/vaImSZV/t8ECVFyEjNxsn97QPxua/3R8gQJ14WeUzDz94Vhh8SLvDfxe/+lImSLhf4ldsnzINwEX9QDLHkPg4/XebWNZkhDG/0Xkb7heOIWYj/yyx4dFypFcE2eAF2yC+sl+w5h/84WtYlgaPx9uAR4l77sEevFOWotP/eBsFbI/C+oieNbDJmVYkr5fOxFb0PByW0WHEsSpD4cQpWfvIQGNUBrYWQuh47JKYh+q3zuNNfQqGuEHG//BIr97SPE9EluaSFVg62SG3KDbZN3I8CFNBZgSfITbuOR3BG8Oq1iAnzhouV0O2uj4f5aEj8wrFy4/OYbN6Iwss3UTiS2QTpYzwsasPE0DBM8XCBo5svwle9jGUeJTjzTSqKmg35VroWVD8sRevEEIRP8YSzozu8w2Pw6jIJis6cwIWixj4OZNdVikmRhUmSFc+uWwz9kzD5svCYtfWg7Dn0ElkCBShAAQpQgALaERDB0m0Gol//KdbN80RjcblSr0ft1GgwpRrd8JNNqHpwC+mpV3A9+yGedBlGug1NBVdw/PgVFDQZ8ndygzl7GYgWBLZt85MlEY4efQvh4f4arKHnxc2Q6EPYe7Wq8+J0XTHO7jmMtYsy2y9uC2P3/2dwt4vbEfhs99j2i/WJmVi09jD2nC1WuiNcirq7t3B4xxeI3FzQ3iMgIgAHfq9cjgbD6lGUCHYh/lgvuxD9BP/8MEU+xJEV1i8bD3kfix57qb/ARmn4oVYk/vEogn8Sj8NdDABpSQ6O7TmEaP8k7JMNsaQYvkh5MmHl4Y0csX3HAgTbdr9Mq1xf+6TER7sMd6S8fqjtUV9B61va+ePnn06QTxKuKm6hBcI5rXQ+Cr0YQv6OD/Zk4q7SRfuex8Iev/x1GGb2sNZ0VDYIfnctzvzSXlZwyb4k+PvuwY7DPXtFyNp4OB6v+e7Gyo+rZdu7b1iAs12SS5pu3+DLUz6LB18K96QABYxDoK0Oj0obABt/TPOyHVjMtr4Im+GAO2nFKKpqgZfLCP35MTGDhSXQ1KQ0pq/YFaExz6JwTzwOn3LFlsiBhaY/W4tgZmEhBI/O6M3hEvo8YgoP4PDhs5BsmaM/4bClFKAABShAAQroloDQSyHyFbzpcwc/FNfDXGLf9Q5M3WrtyLdGNvzklzhXKJ++2sQe3oteRGz4OLSPtCwffhIeWBg2duTbO+QWNKLo/FfYey5f/l1UDDvvhVgVOxtjrYQLaG1orX6Aa9eAcQtDMFYYD5wPChiJgJBEeP31+WpOqDxYFOHi5qtIFR9BzLtFKEnMxsaQbGxUVVyEP47873LEenT/3W6NyZvWINH+W/x0ZRYSE7OxWXiqKkMYtmfDMzj6p0UIde9eTi87aGKx3USsftcRH2+rxMVE+cA3S0OwOWLoqQRZ82x98F78Rkz83RHZhd+SfRl4aV9G7y1398D2vc/hjSXKwzwpD28kRsT2KLwRbKO6DPlwR8dD0pAoH+4obFdYZ5JHI+1RXfXILTWFx9LZeDfix/a5JOSTMS/+KKBbQqjb+YhqfLw5TvZU2XZ3D/z56Er8ItShn+8n+Vgp+b3KIlQvtMP29DfxXnC3iZJFToj8cAuyFybiD6+lYV9JEba9VAQgXnUxsqX2eP/z5/Av633g3j231Mdew7lqGP81D2dYrIsCFNCKQNtTNDVKAVNzmA/4j5oI5hamQFsTmp722g9QK83uUqiJPbx8RuFMciJSnRdippcjzAGYjJ6C52KKsXv/P7G/3hNSKeDQZUdD+GAKB68JcDhzCadTnbBo5ng4CAfSxAFTnnsOobu/xqH91ZgobTHE4A3hADIGClCAAhSggA4JNKOutBSltbWoraxFx43kYmvY24+Cp+8kuDooJh/UoWbrTFOUh59cgpluYlRnJSNeGH7S9DW8GuaKfvr/6kwkajek/j4uXSiD65yViJrpDnH1HSTFJ2L/IVNseTUMLgYXsNoy3NDIBKZN60wOfvLJM4iJCYanp/PwKIgcEPp/XkfhmhzEX8hC3M8z5HfOt1fvviEI/x3rj/Bo7z4uZFrDN3Y1zhTnIP5SPi5+cgkfy4czai/FHu/vDsWcwMmIDu7voq02wrbBzBemYum2ZJySFT/UiZdVtNHWE7EfvYPazT/g1M08HOvmKEykvGH7XKzwccNsFZbSojT8IjpNPrxREHa8ManbXArKdSp6leQiZFslhOGOfhXuhr9uGt+5zxDbo1ybzry3nYStv/bFnxOzZD1cZJMxr56I93okXdrPx3O1xTh76j4yjqVg2772YYLaYxEj4v3ZeGfOeJXHQvvxWsN3yXPYWzgbP4+/i/yKPHyyOVs+J4Ki9vZ/M2FOLiPURkU71HtlMkE9J25FAQoIAiIr2NmbAvnFKK5thWT0AL7xtz1GQV41YDIWdjYD2E/j8hbwWBCLmKovcfTA97B+dxUCrIXMiAhWExZi7YuN+CL+OiraLA0wmQCYeszFKzHV2Hv0Hzhp/QbWBMjvzrCahCVrl6Pxi+O4UfEUYsPLpGj8TGKBFKAABShAAaMUaHyIzNRLSL1yG0X1Xcao6cZhAjO78Zg+JxxzZk6E48DvROlWnqF9VAw/OVc2/KQ1AGdh+EnTQ9glDD/puQbzPQwrZmn1QxS1eiEyfAo8hO/fzuFY9aopDuxKwjcXJFhvaAEb1uFjNBoU8PWVoKDgLVhbWwx+QuUhtkfk7o0Vq4RnNPYOsixZGbHeWBG7CB8NuAwx3GM3ok3tEc2cEbv3V2hTs7Ei30icbNP2kAMi2PpOQ6zwHKCjyCMMu4vDsFttNxsEv/cO2t7ra4fBt6ez1Hbnpz+Px+SQzM7Fg3nnHoa9bWGDPr+EazR2katRrO45YitBZKzwnIv31DxPuoQ15PZ2Ka3nB5EDgleEIRhhiN3Uc7U+LWEyQZ+OFttKgREXsIfPVE+YPHiA5O9vYnx0IFzU+mFYj4dXz+Ni0VOYTZoKn4EkIbQRs9gZ01f+FF4l1YCFchcLMzgGLMdWd39k5tbA1r1bFzVttGXYyzSD4/QVeMurHFXyDvSKJogdpyNmqzumZOah2tZd1mNDsY6vFKAABShAAQpQoLXyBo7ujcetmvYkgomVI9zHuMDFyUbpLvomPC4rR3lpOWpqHuBqQj5uZs7G6tWR8LYbyRtKdO34Gd/wkyZmFrBEM5qedl4ZEruEICamBHsOf4NTkvXQ9qU/XTsL2B7jFRi2ngjGS8zIBy0gRf3jBtTDAQumaWhoqEG3hTvqogCTCbp4VNgmCuisgBijpy9AxI1inLv1DT67n4GA4CmY4OYCe/vRGG3V+SelrbkOVbW1qCnJR/atW7hbVo82My8sXjQFo3UiPnPYuY9R0RIRzJ19ECz0Mm2uRWlBIWqbAItRLnB1HWUgF9hFMLdzhauK6GHuAt8AUxQ8KMT11Fy0mlhglIsrPD1cYaeUOBImRRYeikmShffCRMx8UIACFKAABShgoAItBUj68lvcqjGDW+BiLAqfjgku1kpJhO5xN6OmOBeZl84h6dYlHPqHNTa9Fg63zq+L3Xcwss/GN/ykicM4+DgkI/l0GpwXzYSXgwUAMUZPWYKY0H3Yf+hL1E9shRTDNNyLkZ1xDJcCFKCAWgLSYhz+6C5Kls7BXG9hUGg+KNBVgF/lunrwEwUo0J+A+VjMX7sWlt99g+9vFeJmciFu9rcPxLD2DMWS5xdghpvwo0EHHq3VyLmchJQrt5FfA9h5+CEwLBxzAtxgiaeo/OEM/nk8HYUd3fdNYOY0DYtfjEKoh9ARXZ8fjXiUdRnnLjUhcN1S+FooJrcTepCcwuGTN1GhdMeYEKmJ9TjMWhKFhTPcYYj9NfT5aLLtFKAABShAAe0LtKEpNwNXHrXBPvhFrF/ui/6/DZnDTuKP8JXusGvZjbg7GbhWGIxnvfhNQnG8jG74SdOxWPDKs6jaG48DJ23w7poA+XlkgwlLXsKLjf9A/I1ytImZTFCcI3ylAAUoMLwCLSg6ehb/fsoUm45Mg7fyQA7D2xDWpsMCTCbo8MFh0yigswJWnghduRVTw+/j7r083M8vQmXVI5RUNkDRabmj27vHOEzymQw/+UTHOhFTWxV+OHoAh29VdrS3pugWkuNykVezDq9IMrH/cCqq28SwcnSHo1UrasvKUVORiRN7a/F00xqE60pSZMCgTXh44Wvs+f4BnmIMnCqewlci3G3QjPLUOOxJyMVTiGHlNA4TxzvAAk2ozr+PvIofceXYfpQ1tU8IOOBqB7GD0NNB6PmQtnPdIPbmLhSgAAUoQAEKaE6gFTWPKtCM0QicNk6NRIJyzfbwD5sK2zsZ+LHoMdq8LKG4jUF5K+N8b3zDT4odA7HyLS+UVJmgyy1GYmcExPwE7lN+QG61LdyVesQa57nBqClAAQqMhIApPGI3qD9PwUg0kXWOuACTCSN+CNgACuirgCls3HwxU3jO06cY2tB09zy+uVUFU7cgLF06CxPtzfC0thh3ks8i6fx3iHOrxuNR07Hi1Wcxw0V+91xzFXJSjuJQcj7OJ2Uj8OXpsNWnsBVtffwDziTl46nZOMxZ+QLmyhIJAJrycOHcfTw1ccS0F1Yjeoar0pBOT/E45zwOH7qAB2fP44epKxWl8ZUCFKAABShAAaMQkOJpUxPaYAqLQVzkFZmbwxRSNDY9ld3IwWSC8knTz/CTwS7KG8vfS9H4qBCF1a2wHuMJiZ2Zim10eJH5aLjLxtuUornuEUpLH6O2tgq1TYrbkmpRkpuDulFOcHN1gCWn2tDhg8mmUYACFKCAsQkwmWBsR5zxUmDYBFpQ9UMKUnKBSXPnYoqDrvy5qceDrPtoMnHDvOVLEeIhvyfKwQmuK9rw8JOjuPOjDSbHLuxUlp0bAAAgAElEQVRMJAhm5g7wnr8Yz2TtQ3JeHoqaAuDXMTzQsKEOsaJWPL53G7lPzeAZtRyL/Zw67gxsKclDbhNgPnkBlnVJJAhVmmG091xEPZOL3cl5uJ1XN8R2cHcKUIACFKAABfRLQAwbu1EwQSEKimsBidMAmt+C6oICPIYpxttZgSMmdKd7isd515B8IR0/3C9Hg6kdPHxnIGzOLEyR2PYyJ0ULKm8ex8HkWvjFvoE1AXqWTEA9SjPTcDE1HZlFdR09hbvLyD6b2cNr+jMInzMD3o5d+jKo3JwLKUABClCAAhTQroCuXN3TbpQsnQIUGAEBKRoeZiEjA7AJnoMpDiPQBFVVttXhUWkDYOOPia7dfpDYemCSxBx38l0xadyonnubumDiRDskXylGUcVT+Cnu6u+5pY4uacWTmlq0wR4Txo7uSCQAUjTX1qABlvCe4tVLjwsLuE/2xujkiygtr5FdCJDqaJRsFgUoQAEKUIACmhYQY7TPZIw3yUV+8nlcH6/Ue7PPqqRofHgdZy8WoM3MG4E+9n1ubXwrn6Ly5rfYe/QmahQ35T+tQdHt84j74SZuLnoRseHjYGVIMK2PcPPolziqGG7UxAqO7q5wcXGETUcPBCmaHj9CeXkpymqq8eBqAh7cvIWw1auwzFv5O6whwTAWClCAAhSggH4IMJmgH8eJraSAjgg8RU1xIco6JiXuq1ktqKhslm1QWXAfOfXyPzcm1hjjJYFdx4+FvsrQwrq2p2hqlAKm5ujZS98MFhYiQGQOCzNVHfBFMLfQ5z+bIphZWMAET9DUrJwKEMF8lN2Afqhe2rkOYVsPQpjXQFsPYb4E4TFr60HZK+dO0JY0y6UABShAAQqoITB6GhZH3MLeczdx7LP7SA+YgSkT3DHG3h72o60676Bva0ZdVQ1qax4iP/sHZN59iIY2K3guno9po0fqC6Aa8Y3EJnVZOH08EzWwh3dEJOZNlmCUuBEVhXdw+dwl5Hz/Fb5oXo21C70G9D1tJEJRr84mFCXF4ahsuNEZWLRoDqZPcIFVr6eFFM01D5GXeQmnk24j9dBRjNLrucvUU+JWFKAABShAAV0W0OerYrrsyrZRwEAFGpB//h+Iy24YUHy3E75G+2VhAGJ/xL67CgHWI9TJ3cQMFpYioKoWtU/bAOWhitoaUPO4BZDWoeaJFOjRxqeorWkETEbDwmyE2j8g+e4bm8LBQwIbXMH11LuY59U574OpswSe5ukoeFCGpgC7rhPiyYppQOHte3gMG0z3cOAQBd1p+ZkCFKAABShg8AKW8Ji/Gq9ZJuCf399C0c0UFN3sP2gT63EIXRKFhTPcwR+fyl5taCrKQ16zCPahy7FqwaSO718Ozh6Y4O2FpK+PIPn8YcSNeg1rQlw6EzbKxejT+6YHSLvyELAPwer1UfDu8V27ezDCfBIS+IW/CA87KT6Jy8Lla8UIe3YCz6XuVPxMAQpQgAIUGCYBfp8bJmhWQwGDEzCzg8dEL7ja9PZnRIonhXeQXQaM8ZsMTxv5xXeRK+zFqu76HyYhE3t4+TjDJPke0rOq4DvDUT7cjxT1uVeRXiqFmelDXM8sQVjk2K4/VOpycT2rVjZEkofOzAExMDdTz6mY6XwVyXcS8FWCCNEL/OEq3A5mOxmRkTex60wyLga6Y+E4G6WCG1F+PQFHLgk//sIQ6GWttI5vKUABClCAAhQwHgFreITG4s2pc5BzNwf59x+goLIKFSWVaFAM09MxbI0EYyf5YIrfODj07A5qPGS9RvoUFUXFaMJoBPp7dCQSFJuLbSch8pUY1O86hKvfHcZppw2ImqD8/Uyxpf68ttU8QmkzYBPoD69+EwnKcYlg6x+CGbZZSPuxGFVtE+Aygj8nlFvG9xSgAAUoQAFjE+jtKqCxOTBeClBALQE7BMSsR+vpeHyX8RBlj9oQMCcCIeNGqbhTqhnFZ4tlyQS/+c8iUmfmF7CA65Sp8Lh8Bjnf7MW+kiD4OZqjufI+blzLxePRgVjgU4SklDh8hQWYO3UsRpu1oPbhfWQkn8edZjGcw6bCU1//epqOxYJXlqNqbzxupR7B3zLsMd5vMiZ6OMPBzhczXZORfODvyJcts0VLVTnKHtzD3bJ6tJk4I/j5uZig3JtDrfOGG1GAAhSgAAUoYEgCYhs3+M0UnnMNKawRisUUFr0lW6x9EfXyQpTuOYPUr+Lh/NOVCHHUt8mWO1nbnjahsU0EUwuzgfdyFZnBwlSEtsYmCJ2LlSb/6qyA7yhAAQpQgAIU0LqAvl4O0zoMK6AABXoRsHTHjOifYLxvEo59cxkJnz9A1uwoLF8wGc69/RDqpaiRWmzqFooXl5fJJrt7cCURDxQNMRuH+S8uxnzHH1GVfQQ3ko8hN1mxUng1gZnnfETP9ujaY0F5Ez14L3YMRMwWB4w79z0SrxUg/9Zl5N/q2vCuy8Sw9gzGwqhIhHiwV0JXKX6iAAUoQAEKUKA/gdbGGtQ0SGFuYwcbPfm+2F9MQ18vho3dKJigEAXFtYDESWWRpm7PYFVMOfYcvoHvvjgHp82LMUFPZ2QW2djB3qQV+QUPUQtPjFYZseqFbdVFyHvcCpPxdlB0eFa9JZdSgAIUoAAFKKBNASYTtKnLsilgsAJmcPBbjPVv+iD95HGcuXgYO7OnYfGLUQjVi4vNZnCcvgJvuk/DrVu5KKkDbMaMx+RpPpDIhm3yR/SWDfBMuYi0mzkoawCsnMbDd3oI5j7jpzdJk75OP7HtOMyK3ojABaX4Mb8QxQ/LUFnxCI/qnsp3M4OtszOcnNwxbtIkTJCMhrlSgYpJkRWTJAurtDkZs1LVfEsBClCAAhSggF4JNKP04kHsSq6FX+wbWBNgp1et115jxbAbPwGuJrnIv3AZ2ZOXwc9W1c9zMUZPicLqiGrsPXcZX34hxupVs6GXt3eMnoCp4y3wIP8Svr8+FtEzXLt8v+zVurEYV89eQVGbNSYFThxQEqLXMrmCAhSgAAUoQIFBCaj6tjKogrgTBShgfAJi2/EIW7kJk/yT8e3xVJzYXYB7Ec9jebg3Rot13UMESxcfhCz0UdlQ4WJ7SJTwVLnaQBYKk9q5wztAeBpISAyDAhSgAAUoQAEK6ImAiUsAIqZn4Osb6fj6s4cICJmNefOmwLnHr3Rh8uuX8GrrIRw4n4IvduZigv0TPYlSuZmOmL44HDf2nsOtY7twP30qgqd4wW2MA+zt7WDVMa+aFM11j1FbW42S/Lu4lSnc3COFmeciLJrmqFwg31OAAhSgAAUoMMwCPb6mDHP9rI4CFNB7AUs4T1mC9R4TcOHb40g89wX+mhWE51bMg4vex8YARlJA6Okg9HxI27luJJvBuilAAQpQgAIUoICWBOzgF/0KYlq/xNFbhbh54Ra8wybD2VSkoj4bjFv4CrY4nMTX393A/WJh4gB9G+/IBOYe4Vj7mgW+++cZ3Cq6ieSimypi7bbIxBaeoYvw/MLpcOMVjG44/EgBClCAAhQYXgH+r3h4vVkbBQxWQDzaG/PXbYHv9bM49l0Gju3Jg4dDIwBbPY65GTXFxSirb4WptSPcXB1gqfM9LjTFLUVzTSmKy56gxdQaTm6ucBhg8MpDICm3qvtwSL1tp7wP31OAAhSgAAUoMMICzU9Q9aR5EI14itom4cI3HyoFxM6YvnIrxgbfxQ8FpvC0UpVIUOxpCZcZ0dg6biquXbyCWw9b4WSlb19ORbDyCMXKN6cgPOcu7uU/QH7BI1RVlKGyoVUeqBhWjmMwxsUVHmMnwmeKL7wcLBQIXV75PbILBz9QgAIUoAAFtC7AZILWiVkBBYxJwBpuM5bj9Ql+SDoaj5QH9TqcTKhH6Q83cCMrFwVVTRDbumLi1BCEBrjBEkBrVRbOHjuBS/m1aP/5awIzx8mIiHkec8ba6PlBlaKxNBtXb2Qhr6ASjeJRcJ04FaGhU+BqKQJaK5F9Nh7fXHqAesVvfzNnTI6IxgtzxundPXB6frDYfApQgAIUoIAOCEhRn30cf43LguJy78AbpW930Q88wsHvYQEHrwCEe6lTggjmjt4IW+6NsF4214sL7GJbuPkFyZ7zeomjv8XsvdqfENdTgAIUoAAFNC/AZILmTVkiBYxeQDzaB5GvboHPD3dQXG8ByWhd+1PzBD+eE8ac/RGK6YaBQuRn/4B7j1Zj7TxzZMTF42JhA0ysHCFxNEVdWTlqKrNwen89Wl5bg/keQspBHx9SNPx4Hl8cOI/Cp4pMAVCUn43Me4/w6tpnYJ4RjyMXH+CpiRUcJQ4wrStHWc0j3Dn9FepaXsH6+WP1MXC2mQIUoAAFKEABHRSYtfXgsLRKLy6woxl1paUora1FbWUtOjp0iK1hbz8Ko5xc4epghb76IujXBXZhboRHKC0V5keoUurBYgpr+9EYNcrJyHoGD8s/BVZCgf/P3puANXWl8f9fAiKLIKAoi4gLggu4AIIVF8R9KtWitY5adFy6TG07P3/F1mc603ba6SL+nV+rnXbqyLhUW9vKaK1TV0RxQ5aqaBXEBRVwQxAQASH8nxsSCCEJWYEk3/s8Mfeee867fM41JOc957wkQAIkQAJ6EWhvI3x6OcPGJEAC7YiAtRN8goaj/Q0716HqWgr+m3IDTzp4YsioUPh7OcO64jYunjyOsyn7cFTUDedvAT1Gz8fzY/uik/CLrbYU147swLcpN3As+SKGzBuGzu0It8amVF1D8n+P4daTjvAYMgJh/l5wsq7AnYupOHL2OHYfFcPn/E2gxxjEPj8avTsJfyZqUH4tBdu/TcGtY8fx25DnmqlT3LqoWQUWkAAJkAAJkAAJmDABERwCwhDe5TJOlPpiytLZCHe31dCfahQkbcD6lLJm9U1r4LuZ+YYrqLyNrNSTSD19AfkV6tZ+WKGDsy8Gj4zAyGF94Garbkskw5lneEkVuJOVhhOp6cjKL5euAlahpYMLeg0egYiRQ+HnpnyrIxUtWUwCJEACJEACJGAEAgwmGAEqRZIACSgjUIvK0lI8rrWFo6sjNP35qUySfmUVuH72IkrQFSGz52Kanyyngx8C/LrBZv2POJtajEqXoYiJ6FMfSBAUWjuj95gJGHFxM1Ju3sDtqqHo3NFKP1NavXUdqq6fx9kSwCXkWbwwzR8OUhv8Avqiu80mbDubjkeVbhgWEy4NJAgVbNCp90hMGXEZG1IKcf12pSQpsjCTUF0QQd09edfV1TONWYTy3vCcBEiABEiABMyUgK0vxj4TjuyNJ5C0/wL6zx2Gzqb2Vagddk3tg7PYuWk3zpfWBxGEVbGe3dzh3sVRbgVCFR7evYd7d+6htPQ6Mvbm4VzWU5g9Owp+zurWKbRHh+/j3E4h4fSD+iCCsBLWszvc3d3g2OCKGFUP7+PevTu4W1qC6xl7cf3ceYTPnoXJfp3Bx64d9itNIgESIAESsBgCDCZYTFfTURJoYwLiQpz4z0aklPkjZvksBDm00UyqunLcv/MYcByAwF6yQIKUjUNvhA5zR+bhQtj694aXYrDAxh19+jgj5XQB8oueIMCr7UIiuvVmLUrvF6EanTEksGdDIKFeVif0CQ1C18zDuGcbgD5eivsad0T3Pj3hmJKOvPxiiANMPW+EbgTZigRIgARIgAQsl4AVbHtG4JmnrmDjiUP4OaMH5oS6yw14Wy4ZnT2vuYkj3/6M86Ud4DFkAsZHDEZvdwc1TKtRWnAFWScP48j5k/j+BwcsWhABD5P5VV+F/COJ2Hm+GDYeQzF+/EgM7u0O1TmkxaguvY1rWSdx4MgFpH6/E06L5iDCgysUdH7m2JAESIAEBAI1GVjdPxRxV4SLl7CjYB1iPE3mjwn7sI0JtNFoXht7TfUkQAKWS6DuCaoqxYCNLZqvDLeGs2tniCCCvbMjOjSjJIJtR1P+AyvGk6oq1MEGHZs7D5GzK9yEvwr2TnDq0HzOl8jWFqbsfbPuZAEJkAAJkAAJkICWBOzRc+zTGN+/Cx6fTcVvD9VtyaOlaIurXoeqK5k4fb+ufsXojBHwUxtIEADZwtlrACJmzkV0f0c8uZWJX29Vmg65qutIO30bcAnF7BeiEe6nLpAguCWCrbMXAiKexcLoAbB9kodTvxagxnQ8pqUkQAIkQAIkYHYEGEwwuy6lQyRAAmoJiOzh7GIDVBShqEKstmrzm1UoefAYsHKCc+M67ObV2m2JNRydnWCFCtwrqtDSSjEqS0pQARu4ONuDfzy0xMfqJEACJEACJGAuBGx7IOL5P2DJ4mkI6tywL40a72zRfeQ8vP76i4gOUFgVqqZVW97afGQzlv5nKW7dv2VEMxpXjPo3WzHakloXDAgfhE4ow438h+pzDrQkqhXv15Xex51qwNF/AHpptUpZhE4DQjG0E/DoRgGK61rRaKoiARIgARIgARJoQoCTTJvg4AUJkIB6AmJUPyrFo2odvsHXlaFKvfBWutsZvn7dYHU9B0eOXYPflL5o3NBHBIeg2XgnSLkptfd+Q1pOOay6DIOniQYTnH17o7vVFWQfOY1rfhPQ214uLOAQhDmqnUdWWi6qrdzg42kaAwHKe5GlJEACJEACJEACrU3A2s4ZrnatrVU3fWeuncGC5AWSxq4HXbFqzirdBLXYSv2K0Zaa168YFaOy6okkmNB8TWlLElr/ft2TKlTWiWDTsYP2E1NEHdDRRoS6yio8EX6KmILDrY+YGkmABEiABEjA6AQYTDA6YiogAXMiUI7s3V8jMfux7k5pMoFNd+katLRB18Bh6Hv0FnJTv8W6W4MQOnIURg90V7mFT+2jO7h2+TxOHT6J60/s0GNoALqb6KenVdcBCO97ErtyT2LLupsICn0Ko0cPRFdV/tSW4861y7hw6iiOXa9Ehx6DMLA796nV4EFjFRIgARIgARIgARMksC11W4PV8dnxeLvsbbg5uTWUGe5EtmL0Fm4WlAFeXbQQXYOSmzfxEDbwNaEVoyJHZ7hY1SLv5m2UoQc6a+FxXUk+rj2shZWvMxzl5sJoIYJVSaDNCJSVlUl0Ozk5tZkNVEwCJEAChiLAP8OGIkk5JEACJkPAqvMQxMwfDz9noCI/C5l55Wpsr8ad1ERs3XUMV0oB58DJeHaEl8rAgxpB7eOWlRuGxszGBD8XoOIWzmXegDrvxXdO47utPyHlSgngHIRpz4aZUJK/9oGcVpAACZAACZAACZgGgQdlDyAEEOSPbScagwvy5fqfW6Nzv/7wtapCXspRnLmnae4DMSpvn0HSiZuo69ALQ/q56G9Ka0no3BuDfDuiLu8kDp65g2pN9VYWICPpNPLrHNB3SB+tghCaqmA9EjAWASGQcOTIEcnr8OHDKCgoMJYqyiUBEiCBViGgai5qqyinEhIgAVMj4ISAkcHoknMCpb6TsXR+ONw1XWkgvoWktRuRUj8po40dF8HeJwLzXu2PK79dQkHHzlDthg1c3D3g4u2GgMFheCqkNzTaHriNPVSr3r4nIua9jAFXLuJCQUe1/ohc3OHt4g2PgMEIe2oYendunpZarS7eJAESIAESIAESIAETIaAscLD53GYsHrcY9raNG2MazJ3OgZgQeR6bDp/Dri+vIj1oKAb29kQ3Fxe4dLZv/H5aV43y4lKUld5GXvZvyMq5jcd19ugxYQwCTeqLqRsGT4jA2U2HcX7XelxNH4SQgb3g0c0VLi7OsLeW7V0kRnX5Q5SVlaAwLwfns3Jx97EYHXqMx/hAY6wSMViPUhAJNCNQU9OYMvzRo0fIzMxEdnY2evbsCV9fX9jYcFiuGTQWkAAJtGsCXJnQrruHxpFAeyNgBdueEXjmqe6ouZ6C/VkPTCbhm1KStl3Qd2gERg9wU7PtqpBH4Vm8seR5TAkzg0BCA4iOcOs7FKNHD4Cr7Hdbwz25E4cgzHpjCZ6fEsZAghwWnpIACZAACZAACZgXgcfVj/HaqdeaOZVWkYZffv2lWblhCuzgPWY2FkwNQhebR8g/dwwHdv2ArZvW44vPP8fnstfar5DwzTb88FMSTmffRqV9T4RNfwHzIkxttawVbL0jMHfBFAR2sUZF/jmkHPgJP2zdhPVfrG309/N1+CphC7b+sBtJp7Nxt9IePcKewaJ5T3GFrGEePEppYwJCUOHixYs4dOgQsrKyUFmp6cokwxouLszArsT1eGucF6ysrKQvL4x7az0Sk3LUrmCXWaJchiArCAtWb0PirgwUimW1Fd/LkbF6nFTvbCTkCBzEKM9JRmLCWxjXYFOjvF0ZhWgq7j6S3gqVygjFW0n3FZUovxZfQsJkmd8y3cqrqi6tRmHG/5D442os8JLxk71L/VfLUZn/AMpzkNRMphb9IrTXs19V+6z6jvJnoSW7lTEQuG5pfC79ViOjMSbXxADlOhufF+M/f03MsZgLhkAtpqvpKAkYioA9eo6djKeyt+LEL/uR0XMmQt0sZbZ6LSpLS/G41haOro6wNRRSE5FTW1mK0sdi2Do6w9G2PhZ99MQFE7GeZpIACZAACZAACZCAagLqAgab0zcjJjxGdWO97jjAOywGrwwaidycXORdvY6bD4pRVPgAj4VEw8JhZQ83z+5wd/eCT99+GBjQE67S72LSGib0JoK9dxhmvjIQEbk5uJx3HXk376O46C4ePK6V+mENe7du6ObeHd4+fdBvoD96uTJnlwl1Mk3VkMCTJ0+Ql5cneXl5eaF3795wdXXVsLUe1cSFOP3Z25ixfDMKm4kpRPKqF5G8CvCMXYednyxFmKeSX75qZQhCz2Nz3DxsFk4jV2LHv95GjL9zM22NBffwoKwChUmfYu7495DceEN6JpMXiNg1X+GTNyLgKflJ6oaw2fMQuSoDycjAqk9/wuLIRfBvYeq0OPcEtu+v995z0RxM9rNrplFtQfklJH7wBmau2q+imsxegeNGJH3xAvp3UmeU4H81yi9tx6tRC7G5WcfI+sUTkSs3YduHE6X+N1UvLjyAd+YuwMfJigJk7aX2fDagaUN9rtQ+C/J61TxPEv2yZ2CtimdAzki1OoV6jfyN+/zJ2WRBpwwmWFBn01USMBgBW1+MfTYKD/ZewNmUS+j3TBA6q5vdbjDFbSxIXIgT/xG2avJHzPJZCHJo/DJg/oPq1bhzYivWp5QhIOZlzAlyRtrX89q4Q6ieBEiABEiABEiABAxD4JOjn6gUtOv+Lhy/eBwRAyJU1tH3hrWjBwKGCa9R+ooyjfbWneARECx5jTYNi2mlmRP4+eef29RDIZeC8HJxcUGfPn0gBBeMc5QgY81ShMftkYj3jF2DTX9ejImygX5hVvv3G/DB4lVI3rwM4Teqkb77DYQ0GQhvKgORK7DhT7MxNTqkYYBbmDG+c+vnWBa3GYXJH2Nm5B1sSPoHFvVXFVCoxr3DqzE3biOwYgMOLZ6FKJlN4kJk7NyKz5fFYXPheWxe/jJsfH/G+hhfiCBCp2FT8cKkeCQLwYH9e3Esdy78/dUFByqRe2wv6sMAIXhh3hh4N/60bxm7OA+JbzyHmQnnAXgicsWH+Iu8vdLVFd9v+BSLV+1H4eaFiLJxQtr6GLV6aq79iDdeX4wDE+Ox4/V5mBHiiXqzSpFzYAP+vmA5NhcWIvnj5XgnVOa/nLnlp7GmIZCgxC6hb/f+hE2vL0TUq7EYVyHXVufTps+Cbs+TnPKHGdj6wb+UBJPk6qCpzrZ9/uTtspxzq7q6Otl8B8vxmp6SAAm0AQHVs/qHv7hVJ3tafTC7Ie9D82CCTg6YVKNqFCRtaBJMMCnzaSwJkAAJkAAJkAAJqCAgBApGfa9+ED8uIA6r5qxSIaH1i5WtGG19K1pRY20lSksfo9bWEa6OSmZJt6IpVGWeBNo6mKBI1dHR0Qh5FcQoz/gM0aHLJYO1not2qBjgrkZ+4nIMn/kFCoXB8vid2P1mGDpJjGwqA5Hv4dC2lYhStnoB8nIATNqA7F/kVw0IW9xEIzSucR2CapsU9HquxKFLHyLKWRhul9ejaK8iWWEbodNYHT0DccLs/SZylNRVUiTOScDUgMWSYIRqe4Udmy4hYWoUFktWQDyHDdmbsahJkKMGhYnL4DXzX1It6lYdiFGa9A76j/+4fjVJM5aVyEmIRcDiHySyVNslRvmlLQqrH17CjoJ1iPHUdr550z5RrVNd/8gzGInlK/rj21W38MLGD/CnF8IaglON3dBUZ/t4/hqts5QzbWJvlsKEfpIACRiFgDXsnF3hqmR7ICEooMvLKGZSKAmQAAmQAAmQAAmQgEUR2HhqY4v+xmfHI6cgp8V6rVOhfsXo559/jd3Z5a2jso21iO+cwH8+/xxf7M6GQSbTtrE/VE8CLREwTl6FBzj9/VbprO+nsfyPUSpmytvCe1Islkd6AihE8pqdOF0qzVQgvon9/0yQygjBir+8qiKQIHhoC+8Zy/DhJEEOgP3/xIZkdTkNnsOHb/1OhU3CCoQYvLYosF5W4X7sS39Qfy7omRCDFyRqFOyV1mh8E6P09E6skWwD5IlJH8YiUhKQaKyh/kyM8lu5yJJU6ouJTw9XYS8AkR+mvvSMVNwxbD92XSHfg4Imz4X4y9vjlQygC/VEcA6dIPURQFYubpXLZY8QX8ex7cekAtX1rQid+k/H68ufVlCuy6UBnqcmak9gzarTmLrja3y8QFkgQQjQtMfnr4kTFnHBYIJFdDOdJAESaCQgRvWjEhQXF2v/KilDVaMg0zyrfqS93xJWJSir4kI20+x0Wk0CJEACJEACJKCKgBAg+PeNf6u63aR8f5aqvbGbVOMFCZAACRiMgCyvwsGDByXJmoXfsTofpeewb0tGfXPPwQjup2rLIQCd+iA4TLrVkvzA/Z0M7JJs7yPs8DMJk0Pd1Jsj6oVRz8tWfhXgzPX7qgfUY+dgapOZ+wqiRd0RGCHb6z8DOzLz0JCX1zkYs2UD5PL2KogAHiB9335prohReH5UL+lWQs0qqigQwTnqIxTU1U1/07gAACAASURBVKGuLhebYnxU1BOKbeDu64e+khqFuPLgkWrfBZwvTECousBGJy8EBEkDM4UPUPKoMZggnwMCLfUtXDBkXKTULjXmt3TLEM+Tog7PaMyb4KO6T9rr86foh5lfa7uGxcxx0D0SIAHzJ1CO7N1fIzH7se6uWuvetG1bilGRvQdfJF6ELL2d9vbYa9zkfSvNE2m8yx33NObKiiRAAiRAAiRAAoYj8OPpHzUW9tqp1zB35Fy4ObUweKaxRFYkARIgAc0JyJI1u7u7S5I1d+vWTfPGAGouZ2KHLC/vxFAMUDdwja6I+jQddZ82VVFTcBXHZUVBfujRJJeC7Ib8uy08evmhfo1DIfYf+Q13FvWXXMvXEnIPTBo7EN2bFipc2aHPkDD0xQ+4AuBKVh7uIUQqywXDnonBpLg92K8uEbPcALhOiZcVLDLcZV9MDO8HNeEdQOQIFw8HJSrlV0sAaLFvARuvPhCyAAkcdT0M8Twp6m4poNJ+nz9FT8z7msEE8+5fekcCJEACJEACJEACJEACJEACJKCEwIOyB/jz2T8ruaO6KPm3ZMSEx6iuoM0dYcXoo2ptWkjrPjHRFaPVeFT8CLp4XFdm8uuDdehnNiEB5QTu3bsnuaFdMKEG9/JyGwaPPT1c4KhcvJpSBRlDe8Gjxf1ORHDo7IaGIfDjV1FQAzTfnt8BHi6OqmekK7NKQZbIbzxeWhSI/cLKCaWJmMUoTT+ILZKAig6JlxVtEBJD7z6JvNoipK59F6skWycpVmqNazEelTyQrrYANOpbd18ECUsmdI4mKDwLOj1Pimw8ERTgJc3NoXhPuFbQ2c6eP2UWm2sZgwnm2rP0iwRIQAUBJwSMDEaXnBMo9Z2MpfPD4a7pSoOGBMwqRLf7YhEcAsIQ3uUyTpT6YsrS2Qh31zSBXWMC5nbvJg0kARIgARIgARIgAQ0I/Jz5swa1mlb55OgnmDpsKuxtNV+t2VSC7Kp1V4zKtLbpe0U2dn+RiGzdl8hC06/tbeonlZOAkQl06NABHh4eemlxcO/cOMCvoyRDyNBRtfJmIh9MmBcNz4TzKMQxbPnpHGY3JI4WmshtcaTJFk3KtUgSPheeXo+3ZyzDZtlKD5V1W/9GW/SLYXRqF1AyjM7W7x9z0NhiDNEcnKQPJEACJNBIwAq2PSPwzFPdUXM9BfuzHsCiMgHY+mLsM+HoUnMVSfsv4KFFOd/4FPCMBEiABEiABEjAsgk8rn6MdafXaQ0hrSINmVcytW7HBiRAAiSgLwFHR0cEBwdj8uTJ8PX11VecGbaXT1LcPBGzOP8otkpyRngicvkMhKnd5kkVnmoUJn2MueGyQEIgYuO3YsfOdBTUCnkUmr6epMfrn5tAlSksJ4E2IsCVCW0EnmpJgATakoA9eo6djKeyt+LEL/uR0XMmQt06tKVBrahbFky5go0nDuHnjB6YE+rOWV6t2ANURQIkQAIkQAIk0PYEUn5LgRAY0OWIT4pHxABht2l9DgtcMergh5HhHsg58RC+UxZgfnh3jb+DiguSsHZ9Csr0Qc62JGCiBIQcCf7+/nB1dTWYB03zDegmtuLeQ1QA6vf5VxTd1w1OxpzW7DwSiz98DqsW/wBIEjEvR1RUVwCVyN33HRIkKwlG4YVnBqvZTkfRaLnr0mP4f/PfQ7KkaBJWHkrAh1He2m3PJCfOGKc69YuehhjiedLWBJ38NPbzp60TJlrfmP+FTRQJzSYBErAIAsIM/Wej0L9bOc6mXLKwGfpCMOVpjO/fBY/PpuK3h3qsNbeIh4VOkgAJkAAJkAAJmBuBfx7/p84u7bq/C2eundG5fUNDi1sxKp3Q0+UJriclI4vfQRseBZ6QgDICwuqDCRMmIDw83ACBBBu4+/o1zpK/XYIysTKt6sqayig8cx23W5QhRsXDB5Kgg0Syh4uKYEIFbpc8gnpxCrIi+sCr2RRpO/iNmoJJEmUZ2LLvHEqFc/F1HNt+rN65SVMwys+u/lzLf+WTDnuueAtvqw0kNN3jX0tVWlQXwdHFrSGpdeHtEjxqqfW9PGTpnC9BEN70WYBOz1NLRireb6qzfT5/ijab5zWDCebZr/SKBEigRQJWsPV+Cs8vXoLF04PQ2arFBoDIEyP/8Cpef/VpBDiY+MenbQ9EPP8HLFk8DUGdNdl91hbdR87D66+/iOiAThrAYhUSIAESIAESIAESaJ8EhECAEBDQ59iWuk2f5tK2shWj3fEkV1gxeg9mP8VDFkB5ko1ffv4VD8zeYQM8JhRhUQSEfAgDBgyQBBGCgoJgZ6fboLcyaDb9gjHTU3onKxe3ytUN3VciJ2E2rKysYGXlhwWJNyUNtZMhNKnG7eu50uTAnpg0diC6KzMOhcjKLkC50nuyQnlZQN8gX7jLbsm9i/yfwVsrQiQlhau+wo85lRDnnsD2/cKyhBCseOsZ+Ov0c75pcKDlPftLcDE1Xc4yY52K0KmHH4Jk4qWJqWWXzd/FKL2YjgPNb2hVot2zoPx50kqhEMLQ6hkWpMs/M63z/GnrkynWbxbDM0UnaDMJkAAJtA4Ba9g5u8JwX+dax2pDabG2c4arpTpvKIiUQwIkQAIkQAIk0OYEDBEIiM+Ox9tlb8PNyU1Pf6QrRh8cwEVhxWi/qRpO9NBTbZs1FwIoo/Ds+BLsvXgBKb/1wTNBbtBkXk+bmUzFFkFg2rRpRvGzuLgYx48fb1G2kA8hICAA3bp1g42NkYbqnAdj8gshWLUqQ2ELICXmyc/kRzDGBkqH7ZvI2I2tB19CZIyv6m1+ys/hpy3SFQEYhedH9VJZt3DLQaT/ORJRqnIZNLEpBDODfaGclBtCJ0+C56oMSSLm7ccyEPggEfsFN/VKvNy4AqDlvMtilGdswQcC61Y4RB69MNQTkMRLrpzG2auVCPFX9eNdLhG1PrY1eRb2Y1+6bEspJUKb9J3c86SkqtqiJjrb6/On1gOzuKlTLM4sPKcTJEACJEACJEACJEACJEACJEACFkXg1v1bEAIBhji2nTDE6gQAFrdi1A7eEbOweMkCTNcwkCDqPhJ/eP11vBodAAdDdB5lkEA7ISDkQwgLC8O4cePg5eVlvECCxF83hM2eh0jJeQZWfbAFGUpXJ1SjMHk7tkhGpgHPRXMwuWFbIHkZ55GwdiOSC6tV0CzFpe//hTXJ9UPvTeUoaVK4ER98na5idYIY5b/+0mATIudhdpiqYK4IzpGx+HCSsAyjEPs3vIO31uwRIgl6JF4W7G26AuDKgbO4qnRxhxjll7bg1eh4IHaulDcg2+Nfief6FzkHY/byp6VyfsA7n/4P+apsM1iQQ/5Z0PV50tZ1eZ3t9fnT1ifTq89ggun1GS0mARIgARIgARIgARIgARIgARLQgcDnBz/XoZXyJq+dek35jVYolawYdXWBo62F/KS3toOzqytcHW1bgS5VkIDxCQj5EMaOHSvJhyCsRmidQ4ROIX/A6njpoHPycoRGr8SmjMLGXAXlOUhK+AvmjpcmGfZ8Fev+Ng3eDR81gozF+HLDovo9+pPfw/i5f0FCUo5cEECM8pxk/Lj6NUQtTqjf4ijyPXzzobwcRY9HYkX8QiBuBqLfSkBSjiTTQX0lcSEyNq1EdOhyaeLjQCx6LQbDOjUYpSgMEPXCqOdH1ZefSEZ9PEOPxMtSDSK/8XhpUWD91f538NLKLciQC6aICzOwK2ElogcsxIGJH+PLjxYiTLq1VOGWrfjxkpxfza3Wo8QFw36/CItkuhKWYb6CbZD0bT3H7EUf4uO5ffXQJzQ1xPOkrQkm8vxp65aJ1VfzP8/EPKG5JEACJEACJEACJEACJEACJEACJKCGQKCndBBITR1Nby3puUTTqqxHAiRgoQTs7e0bPFfMh+Dk5NRwr/VOXBCyfD1S18RKgwGrsDDUC9aS3AhWsHIKwPjFq+oH7SNXYkfyR4jxVgziOaP/on8gecfK+ln3yauweHwAnGQyrKzhFDAOz8VtlgQSPGPXIXXbSkR5KsqR99oW7uPexLZDLwGrFmN8QGdpvgYrWFl7IXSh1CYEInbDt/hM3dZKErF28J/1MlbIckQIZXokXm6wVOSLGX97XzpoX4jkVbEI9erYYKu1VyhmLF6F7NiNSPriBfT3HibZWkrSvjABiwcIfjXmoGiQa4ATkfcMfJa0EbESn5vbJutbiW2fzYe/8j2itLTEEM+TliphCs+ftj6ZVn0GE0yrv2gtCZAACZAACZAACZAACZAACZCAjgRix8ai7t26Ji9tRMm3Xf+H9do0ZV0SIAELJCAkUI6IiJC8xo8fj759+xo0qbJOSEWeCPs/m3CrIB07f4iXDj43SvKMjccPO9NRcOgjxPg7N95ocuYM/5iPcEiQseNrrIiUH7UXKk7Cig0/YGd6AW5tehVhagMJQv2byMp7BM+od+tlNrMrELHx3+FQ9nFsWhSITk1sUXEh3V+//q4+iZebyhd5x2BDTjYOKbVxK3YcykbOpgXoL1k50RWRf/onNq6YJCfEBR4ujUEmuRt6norQqf8CbBJsa9Ynnohc8bWCbXqqkzU3yPMkE6bpuwk8f5q6YoL1rOrq6upM0G6aTAIkQAIk0I4IlD14gCvp6agqL2+wau/MmQ3nLZ1M2bGjoUrfsDB07dGj4ZonJEACJEACJEACJGBMAlbva57+Vwgm8CABEiABEjAEgXJkrI5GaFwygL6I3XEYm2J8DCFYKuM+kt6agvFCEmTPlTh06UPVyZ0NqJWiTIWAsZ8/U+GgvZ0GWdSivVq2IAESIAESMCcCez75BNnxuiczVAw8vMs4tzk9HvSFBEiABEiABEiABEiABEiABFqVgDj/KLZuyZAkXp70YSwinbk5S6t2AJWZLQH+TzLbrqVjJEACJNB6BOxcXAymzGH4cIPJoiASIAESIAESIAESIAESIAESIAFLI1CCX79NQEKhEEuIwUuT+4ADoJb2DNBfYxHg/yVjkaVcEiABErAgAuNfftlg3oYtW2YwWRREAiRAAiRAAiRAAiRAAiRAAiRgSQSqUZj0Gd6M2yNZlRC5PBaTmiWRtiQe9JUEDEuA2xwZlielkQAJkIBFEnByc8OQv/8dZ//8Z739D542TW8ZrSugFFnffYXE7Mdq1VoHxGD5nCA4NKslRmVBGnZuP4DsUsBl9EK8FtVDzcyZGhTnnsGv6ceRkl0ildYR3sGjMHjAIIT6uapp20x5Oysgy3bWITSHBEiABEiABEiABEiABEyHQHkOkr7fgA8Wr4KQiQGRcVj9cqhmCZtNx0taSgJtSoDBhDbFT+UkQAIkYD4EwmbN0juYMGLtWgiBCcs5alB8+RB2bD+F/FrBa2v1rouLkPXjN0i8KAsiyKpXIT/zEPIzj+H8lEVYGN7NhAMKMp+0fSdLbYmxPgmQAAmQAAmQAAmQAAmYPoGbSFwwDjM3X2nqSuR7OLTtVYR04qYsTcHwigT0I8Bggn782JoESIAESEBKwMvfHz2XLMGNf/9bZyZBkybp3LbNGopLce9ONYBuGL10MaK8bDUzRVyMy3t3YHvabTgOGIvRNaeRclmQo+oQo+LCIewSAgnW3giO/h0mDvGCnVC9sgBnD/wPuzPzcfNAMi4EzUKQgwl+aSZLVZ3PchIgARIgARIgARIgARIgAU0IeMYi/vM/4JkpY+DPQIImxFiHBLQiYIIjDVr5x8okQAIkQAKtSGDEwoU6axMCEUJAwjIOITBwANvTHsFvykK8MjsY7i39RRYX4FRSDmphj4DpsxEtCyQIwOy8MOTpZzDRpyNQex0XrpRbBkaJl2RpQZ1NV0mABEiABEiABEiABMyGQCeEvHkYdXV1qKvLxaYYHx0980HMplypnDrUFWzCm7MiGUjQkablNDPU82c5xGSecmWCjATfSYAESIAE9CYwICICXadPx/1du7SWpU8gQmtlhmxQWYy7ZbWAdRe4u2jxZ9XKA6MWT0NkDyGLQqkGFjmi51MTMaXOET79OjWvL7KDg2Q1QjXu3CuFGM6mt9URWTbvV5aQgK4EKm8hdecO7BVyq7iMxtLXouClLmgpLkZueibSj59Edqlk3zXAOQCjI0IxLNQPrsraKmsjrJwaH4wB/QfDz1WDz8TKy9j95XZkltZCdW4ZXSGYaLuKLHy3JhHZ0m5Q7oU9AmJexpwgZ+W3tep/c87FoxwPS0mABEiABEiABEiABHQjoME3fN0EsxUJkAAJkIBlEgiNjcVeLYMJQgBCCERYziGCQ+AYRGrjsMgVfmHh8GuxjS26u5tgIKFFv1RVIEtVZFhuuQTExRexd8cupOVXaQZBfBepGxOw96ZC/dJspPySjRPnp+CVheHoIhdQEBefxY8bd+OiLPAg01Sbj8z9+cg8dB5TXpmL8C7qfm48Qu6BvZJAgqw53/UnoFX/MxeP/sApgQRIgARIgARIgAQsiIC6b/cWhIGukgAJkAAJGIrAsKlTcXT4cFSkpWksUghAmP5RjXuX05F08SRShJnAksMFAaMjEDpsqGYzdPWAIC66iLTcx4D1AAzqq2Tlgh6yW78pWbY+c2o0DwJyicgdB2HS6EocSrkCtRPcUY2C5B31gQTnAIyNnowxfq4QQZitfgL7dh9F9s3D2JXWWy65eyku7NsnCSRYew9H9O8iMcRLWGUlRmXBORz4315k5l/DgQMXETQnCMKd5ocYlblHsDvzETy93XE3/17zKhZaIi65hztCp2myoqQJI2373wJy8TThwwsSIAESIAESIAESIAF9CcjNL9JXFNuTAAmQAAmQAGBrb4+wZcu0QiEEIEz1aBj0qb2ClJ2/yAUSBI9KkJ2yB1u/2IykWxXGc1F8F2m7DuNmbUf4TIzEIFNMviwMQ8oG0MjSeM8KJZs3gYqL2Lc9DWV+U7D0lWcxxF2DhPAV2Th64m59EvnnYxApCSQImGzg6jcGs58fCRdU4eaJdFytFEv4iQvSkZRdH7ycPneKNJAg3BLBzmsonn52HHysgdrci7hSUd+mGfjKKziwOxOlzoMQHuTW7DYLdCCgbf8zF48OkNmEBEiABEiABEiABCybAFcmWHb/03sSIAESMAqB4GnTkKyh5BFr10oCEBpWb8fVOsI7eBwiR4VIVyHIz9C9iZQfktHzlSnwszNwHL8yD0nffIuUfMB79O8xN7yb6eVKaNarZNkMCQtIQCMCNug26gXMiPSFHcRoOYQpRsWVi8iVzIIPQH+P5sEHkYc/glxOIKUkDzce1MDPyxaw74mnpkxBnYMP+ikJXorsHepXI9QW4V5JDeCgKFe2vVFnBM+LRL/Hv2jknWVUEqOy6D7KAFh3d4eLVn8ytO1/C8jFYxkPDb0kARIgARIgARIggVYjwGBCq6GmIhIgARKwHAJObm4QggSnXnutRadHzp3bYp32XEHkFYU33o1SYmL9DN3o+Y6AJLnoeaRfHgU/VckylUhoqahxz3IbSSBhfpQwgGi6B1mabt/R8nZCwGEAorRKxlKDkntFqIU1XIL84aFs4FrUDf2DuiAlpQhZl+4i0qsHRK5+CAtvOYOLqsT04qLzOHr2IZyDn8dEP0eIs9oJP1M3Q9v+Zy4eU+9x2k8CJEACJEACJEACrU6AwYRWR06FJEACJGAZBIImTcKpFlwNiIuDEHgw68POFyFDuiAzpQh37pVCDEMkR5bbF7vWBQFTZmJGeA+TDiRo9AyQpUaYWIkENCdQiaK7whx4TY5alN0tRiV6qMiBIJNRg6KsXyWrHawDBqCv4soF2bZsjsGYN7Gv5HOr5RUUMtkW9i6+h8unD+Hi8ZPIliW6dg7A6IhQDAv1g6uy4I8BEZlXLh4DgqEoEiABEiABEiABErBgAkb+CmrBZOk6CZAACVg4AS9/fwjBAnXHmCVL1N02s3uygTh93apBcdZP2LjtFPLhg9GLl2KOJQQSmmAjyyY4eEECehOwRXd3VYFOG7i4d4G1hjrERRnYdeAaaq17Y+LEAQqBhxoUpe3FgZuOCI4ea/ht3zS0sX1Xk60WAWovp2DnL8caAwmC4aXZSPllK75ISMYtaQ4Lo/gjC/qYeC4eo7ChUBIgARIgARIgARKwYAJcmWDBnU/XSYAESMDYBIZMn47s+HilarpOnw4h4GA5hzWcurnquXpAjMrc/diYmIVS5yDELHwGQa6W+KecLC3n/w09NR0CYlTeOopvNh6pD3QunIXwLk0/n+oDDTfgKN3eyHR8ayNLrb0RPDESo4bLViFUoOBsMv63Ow35+cfwwwFvvBLdT8+/K0p8M8tcPEr8ZBEJkAAJkAAJkAAJkIDWBJp+w9e6ORuQAAmQAAmQgGoCAyIiIAQN7u/a1axSVAurFpo1aJcF1ShI2oD1KUWSvb+VDupU5iHjbBGALgjqr19yZHFRGrZ9l4ZS696YEmtugQSybJePOI0iAY0ISFdMCYFOax+MXjgHUT0cmraUzXSX296oaQVe1ROwhVfUK1CaigcO8BoyBZJUPFvTUHr2V1we3xdBiltJ6YHS3HLx6IGCTUmABEiABEiABEiABJQQ4DZHSqCwiARIgARIwHAEIv74x2bCHIYPR9/g4GblpldgC4/+AXBBLUozd+Cb3WdQ0LDtRA2Kc1Ox+5sdyCythbVPMIZ42OrhYikuHDiCm7X2CJg+o9mMXz0Et5OmZNlOOoJmWCSBamlOF2XON267o+wuxMW4/L+N+EKyYmoApixSEkiAdHujgm4Y/VwktzdSClLTQhHs+gzGEBdroLYI90pqNG3YQj0hF88+JHyxExdLnRAwZT7mR/kaftVDC1bwNgmQAAmQAAmQAAmQQPsmwJUJ7bt/aB0JkAAJmDyBgaNH48Dw4ahIS2vwZczbb8PW3r7h2pRPRF5jEBtTItl6KD9zF9ZnNl+FAecgTH82BF1kIXzxLSSt3YiUktpmrpekbMAHKbJia7iMXojXonoABelIyn4suZGd+A+8nyiro+TdZTSWvhYFL5k+JVXaYxFZtsdeoU3mTcAOXbo5AdnC6ilVhyxJs5LtxcRFyPrxGyReLIG191gsnj8GPeyUfPBUXMQBIY9CLZCyIR4NH3GKKrMTES98uFkPQMzyWQadca+oyjyuy3C3qBLw0idQLZBQWFmyWFlAyDyI0QsSIAESIAESIAESIAH9CDCYoB8/tiYBEiABEmiBgBA0CFu2DMkLFjTUHBgZ2XBu+ic2cA2agVe6+OPXjFM4lJmPhhCBcwBGR4RiWKhsv2vT99a4HpClcflSOgkoEpCuCEpJQUlWDm5H9mgehBSX4t6daiVbtT1C7p5tSLxYBucBM7Bw1hC4KokjCBrFJfdwp+GDUdEGXutOwAndutjp3lzSkrl49ATI5iRAAiRAAiRAAiRgUQQYTLCo7qazJEACJNA2BIKnTUOyVPWItWvh5ObWNoYYTasIdl6BeEp4RWugRNQDUW+8gygNqjZU8YrCG8o30W6oYh4nZGke/UgvTIWAyMMfQS4nkFJyARlXw+Hl5yhnuhiVV8/hrLCKyiUA/Ru2aqtBUeoOfJf5ANY+UxCrJpAgCBOp/fwSoyLrR6xJvAgExGD5nCAoZFuQs8cCThtWrnVG8LxFiG7SH4L/qvpENzbmnYtHNyZsRQIkQAIkQAIkQAIkoJqAivlDqhvwDgmQAAmQAAloS0AIHkzZsQND/v53hMyYoW1z1icBEiABEjAWAZEHhozoCWs8QObu3UjOLYZYokvI+3IMO3dnohQd4TMiEB6yXw6ybYusB2D6nOGNW7gZy0ZLkivqhv5BXQChP777FrvPFqBS5r+4GLmpe/DNd2nN+0RWR6t3c8/FoxUMViYBEiABEiABEiABEtCAgFVdXV2dBvVYhQRIgARIgARIgARIgARIoN0SqEZB0gasT7nbsoWKeVXkch80b2wN5wHRctsYaaEHjXlfZHGI5vK5MqEZE7X9IdRW7BOhTIt+kfa/x+0krF2fgpJmBigpUHxmlFQx5SKr9600Nr/uXf581hgWK5IACZAACZAACZgdAW5zZHZdSodIgARIgARIgARIgARIQAsCoi4Imr0UXbJO4ejBE8gurU9wYO0djPHhIRgW5AV9d+bXwhpWbeiPX5GRmoLM/CopE2s4BzyFiNBghPq5QnWAhghJgARIgARIgARIgARIwDgEuDLBOFwplQRIgARIgARIgARIgARIgARIwAQIcGWCCXQSTSQBEiABEiABEmgXBBhMaBfdQCNIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIoP0S4DZH7bdvaBkJkAAJtHsCw1/c2io2pn09r1X0UAkJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkIByAgwmKOfCUhIgARIgAQ0JjBk5SMOaulU7euKCbg0N3Kq1AicGNlupOAZnlGJhIQmQAAmQAAmQAAmQAAmQAAmQAAmQgBoCDCaogcNbJEACJEACJCBPwNiBE3ldxjpvy+AMAzLG6lXKJQESIAESIAESIAESIAESIAESIAHjE2AwwfiMqYEESIAESIAESEBKQDEgoy64oU9dQZ02stXV18YOdjQJkAAJkAAJkAAJkAAJkAAJkAAJmCsBkbk6Rr9IgARIgARIgARIgARIgARIgARIgARIgARIgARIgATUEShH7upxeN/KCu9b+eHfiTfVVeY9CyfAlQkW/gDQfRIgARIgARIwNgH57Y2E1QKKM/2NrZ/ySaCtCcj/H2hrW6i/KQHmkGnKg1ckQAIkQAJtS0AYzNX0eLeuTtOqrEcCrU+gPAdZ+9NxfdfHyNx8Xk5/ILzjVyIoOBRDovxhJ3fHqKftzR6jOmtc4QwmGJcvpZMACZAACZAACZgJAfltk4TBYQ5CmknHtpIb5vK8yAIj5hAUlP8/3UqPAWT8WkufsfW05nNtTuxak5uxnwHKJwESIAESIIGmBKpRfHo9dsxYhvzCpnfqr84jP24e8gEciF2HXrn+lwAAIABJREFU5z9Zin6etsoqGqisvdljILfaUAyDCW0In6pJgARIgARIwNIJaDMgqU1dgaux61t639F/EiAB3Qho+9mkmxbjt2qLYIw5sGsLbsZ/GqiBBEiABEiABAQC1ShKXI4vZ36BWuHSMxbBn/8BIVPGwKuTsNO+GJU5yTix4VOkrNqP2s3LsO1GNebtfgN+kvuGptje7DG0f20jjzkT2oY7tZIACZAACZAACZAACZAACZAACZAACZAACZAACZCAWRAQ5/+MXctkgYRFGJ20FtGzIqWBBMFFEez8oxD1cQJiVk6q9zk5Hru/SkelEQi0N3uM4GKbiGQwoU2wUykJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJmAOBElz9NgE3JVsbBcJn3V8R2d9ZuWMibwx69SX4eAq3C1G6Zicul4qV19W5tL3Zo7Mj7a4hgwntrktoEAmQAAmQAAmQAAmQQNsTEKO6+Dqy0k/j9Jkc3H5U09SkqptI3bMXqTcrmpbzigRIgARIgARIgARIgAQsjYD4Nm4cyJR6HYFBT3lD3aCzyHMgegVJoglAYS7u3a42LLH2Zo9hvWtTacyZ0Kb4qZwESIAESIAESIAESKD9EahDdf5xbNl0GLee1EnMs3IOwPhZ0Yjwcaw3t7YE1349B/QciXCf9ucBLSIBEiABEiABEiAB5QTKkbs6GlvjkgE8h9HZmxHlb4vKnKM4e+wXnFi8CqWyhs32vBdulKIg6SAu7fuXZN/7+qqecF7xPiJmT0NoiKfaQeT6+tUozjiInGu/Iev1OIVEvYHwjl+JoOBQDInyh53MFtl7+Wnsjp6BzORCwPNVTElbg3BvNQl8xXlIXToNexPOAwiEz46fsTDGVwMbGxRqzgv1tg8eN04jDuLCDKSfzMTVte8iW/Cn4ZAy6BcA/+gQuKoblZe2MaSsBjO0OakQwf2ldZjyEgBrX/h3b2HIWeQIRw8HqYZ7eFQmnbhjqP41lD3aMLCQui30rIVQoJskQAIkQAIkQAJGI5D29TyJ7OEvbtU6KbLRjKJgElBLoBy5J9Nwp/tTeG7KUHhYF+Pikb04tOW/sFk6G+Huan6wqpXLmyRAAiRAAiRAAiTQnggIg7gVKE76FBvHv9cYRJCZWLgZmc9tRmbkmvokuchB6gdvYO+q/bIa0vdClK56Eb+sCsS5Dd9i/qLA5kEAWYvySypkyCqcR37cPOQDOBC7EQu/eAE95JPzdgrFxNVxyA1djtLCL3Dgr1HwWx+DLkoH3KtRtDMeBySBBE84x2/AXK0CCTKbZO8t8ILM9kCcW/MVZr4RoTwQIC7E5c/exvblm+sTFcvEN7zL5AB7I1diyr/eRri/ii2DDCmrQb8OJ538ERTjr0NDoYk7HJ2kQ9SG6l9D2aOjR+bcTOl/NXN2mL6RAAmQAAmQAAmQgC4Exowc1BAMkQVIdJHDNiZAQPwQt/Pr0CcsHAO93eHm4Y+IWc9jsnchDv2Uivzq+tUKJuAJTSQBEiABEiABEiABtQTE13biv/N/hFP8DswrqMK7dXV4t64Kr6dvRkCkdBua5Hjs+f4kLn/1JvZu8UDwjnS8XivUq8O7tQWYt3EF6oe6zyN/8d9wIkdFOl1hlcAbz0mDEcJqhg2IyX4o1SnIq8Vb2YcwekV9ct7azQux8Y2dKGqynb4IdiGvInbHq7AGUJuwDJvXnFaawLdJAt7IOES/HKo6yKGWkuxmNR4dXo2N4/8FKNoucNgRD28JsvPIX/4y/rszD01Ml4gpQe6apdgmCyRErsDonXI86+rwl4J0TImPlfiH5I+xN/L/IOlSw3oRmTEADClLTmxrnJZexrUDV+o1efrB3UM2WaeN+lelPa0Bw7R0MJhgWv1Fa0mABEiABEiABEiABIxNwKoDOtoBVVVPGjVZd0fYjKkIKD2GH/dfBjMlNKLhGQmQAAmQAAmQgCkRsEOXPgFSg5Nx5rl38HD5Bsx/MwZ+nrIBXVu4hszDjNVx0iBBIUoWj8K2Nd0xOmktomPktt4RecJvwUpExz8tlXkMWceuKxlEB8S5h3BKskoAsF60DrEfL0JQkxn3Itj5RyHq488welJ9IKM24TuczVUMTtiiy4w4TFwUWJ/AN+5vOJBR0rQTxHlI++u79QmBPRdh9JeL4Se/wqFpbQ2vTiA77mM8Uma7wCFmOebvXtMQWLm57F+40CSxsBiVGf/B7rg99foi30PMtg8QNV2OJwCRZwjC31yPV6QBExQmIOWNH1HQJDJhSFkaum+watUoOpiIXMnOTp5w+TAWg5zlh6hbu39bssdgjpuFIPmeMguH6AQJkAAJkIDlEkhMTIWV1fvYv/8MHj82cAInC8N65sw1hIXFQ2D64EGZhXlPd9uKQGZmJvbt24e8vDzU1CgkPG5No6xc0KufE/JSkpF6/QFknyZWnQfidzNCYJ35X2z5+RyKm/yga00Dqau1CAifgcJn4Ucf7cStW/dbS63Z6BGYLV36H6xY8R1ycgrMxi86QgIkQAJmRcBzISa8qGzGvgh2/YbAU7o4QfDZ+oV5GNFf2XY7Lug9LhIdJGAKUZZdoGSlgBiVt3JR/8uiLzyeHq5iayJhNN0Pw156RopZRXBC5Ivhf3sfPhL79iDzzf8gt1z25Ux+e6NA+Kz7KyKV2q1LTz6HkW/9ToXtItgNi8FISZBDiHPsx4X0B41KxDdx9p8J0u2kQhDwl1cR1BDAaaxWfyYMqC/DSGlQBfv/iaPJct9FDClLUbVRr8WovPQt/rvsi/otnjwXImqWf/McFq3WvxraY1QmpiWcwQTT6i9aSwIkQAIkoIbAqVPXJHcnT96FsWM/w+bNRzgQroaXultXr95FWloFZs7ciy5d1mDdun0cCFIHjPcMQqCgoABPnjxBVlYWDh06hEuXLqGyUnEmmkFUtSCkI7zHxmBGzwLs++YgsitkP0xFsO89DnOfHYAnuVdwl7sdtcDR9G8Lf1eEz8I///ksfHy+kAyKC8FWHpoRqKioxr//fQPx8dkICFgvCSwcP35Rs8asRQIkQAIk0CoErF+YgL5NZoXLqe3khW5BsmhCCPwmD4YsZa5cLcmplZMbHKWFtbdLUKVYASI4RH2EdyTbKOViSYxPsxqNBTZw9vVrCE48evAIyr52ibxnYK5sJUByPHZ/lY5KNB0ctl70PqbP0CbhcqMVSs9i52CYf7O00I1VRd3hEzFAep2Bq5l5jXkR7mQgS7oyA56TMCjUrbGdsjNRL/R/fpT0TgHuXL/fuOLDkLKU6TZSmbjwEH56ZaU06fbTCN69AkEqnr/W6F9t7DESEpMTy2CCyXUZDSYBEiABPQhUP8D1rAyknj6D7NvljV9qJCIrcDN1L/ak3lTyxU8PnW3UVBj8WbAgWTIQLswo5YxI/TritddOSQaChNml2g4ECYmXhZdwHD1xQT9D2rC1YLvMfpk/bWiO2asWggq5ubk4ePCgJLhQXFzcuj5bd8XgmS/hT4sj4dtR/itzB7gFTcOLL/4e06aMxzBPNT8mW9diamsFAsKg+LBhmzFjxhdafxa2gnntXoUQWBg16vuGlW9cRdjuu4wGkgAJGJnAf5YuxftWVg0vbdTJtxPOUxMTtWkurdsXHuH9VAYIIHKEo4csfNAH3Xp0UqlD5OTSEExQWcngN4T99f8g3WKpEKXCdkdJe3FANlgd+R6mfzhNxSoCXYzxhMvYgeistqkdug8JkwZCgCdZeQ2JrWsLruKurG2QH7q0uO2SLVx6+dXnTkAhSo78hofS9oaUJTPJuO9CkGcTEkIm4WKysL9RILw3fIKJIS5q1Bqzf3WxR42pFnRLmirbgjymqyRAAiRgqQSqb+Lolm9x+NbjegJWLvAb/yxiInrCXlJSg5Jr5/ArvDEuXN0sEdMDKMwoFV5LlvTEwoUjENEwU8T0fGlri4WBNOE1fXpXxMaGYurUYbC3l+2t2tbWUb+5EhC2PRJe7u7u8PHxgZeXVyu5agtnz25KdIlg27UvgqwLcP1WFlKv1MCqozPcu3nB26sz+D9CCTIzK9q16z527foew4c74O23x/CzUMv+la18A/Zi7doRmDt3JNzcnLSUwuokQAIkYPoEbvz73wZzovDSJYPJUi7IDY5OBhpGFBcid/dJFNUW4drad5EtGVxWrrXlUhf4vfxXBO/JRGbyHmSOl+YjwNMIXv2Gmm2EWpbcvIYDHF0cm2/J07xiY8nxqyiqAVxtalCalwtZRi7rob3gIj9fpbGF3JkIHTu7SfTVCqVGkSWnzmin1Sg+vR47ZiyTrkiYhIAdn2FGTH8NEmIbo3/1scdokExGsIE+BUzGXxpKAiRAAhZKQIyK3DQcv+OOkc9NxDAPa5RcTMHuQ9/he5sFmB/eXTrbwbzxCDMihRcHf/Tv5/qBtL0YPvwoYmMHcyBIf6SUoAGBe/fuQXhlZ2ejT58+8Pb2ho2NEb/OVt/DxeNHcLJyMOZN9UdHmY2VBcjYuwv7zt5t+EFYf8saDj1CMPHpsRjaMItP1ojv5kiAg+L696qw8k14xcUFYO7ccAwd2lt/oZRAAiRAAiZCICAuDtnx8QaxdvzLLxtEjnGFKA7iGkhbpzA8/c063Bs+sz7hMjzhHP/XFma9G0i3jmJE7p0bv1vqKEPWzJCyZDIN9i4uxOXP3sb25ZulOyNMwoBDCZgV5a15UMaQ/WsIewwGxzQFGfHXl2kCodUkQAIkYJ4EalBy+w5q+4xCxMAekmWsXSNmYL7N91h/6Bcc7zEHY7zbv+dCcmVDHBz8qadoCJ4Cy7S0xoGgJUvGwN+/tWaNG+JpMG0ZP//8s2k7oKP1jx49kmx9JORU8PPzkwQV7OwMvN1QTQGOb/kGB4XVXC5uKJrsDy9h9ljtHaRu/wZ7rz8GrOzRpXcf+Lp0BKqKkXf1BopuncauhCJULZ2NcHeuUdCxi1utmSE+B2XGyg+KW9JnoaEYyq98i4uLQnBwX658kz1cfCcBEjBbAmOWLDFIMGHE2rVwcmth//02p1iN4qSPsXH8e9JtfwLhHb8SQf0C4B8dAleFWfq1GavxaWicwsQNVU5Uozg1CQXC7jmSoxCle47j1suh8GtxKyFpE74ZnkD5JaR+8Ab2rtpfL9tzEUYn/QNRWifDNlD/Gswew6MyJYkK/1VNyXTaSgIkQAIkoDkBETp0FAa7quS+jNnCPexpzAgoQ/KPSchtSDCquVRzqCkM/ggJhoVcAEyqqV+PCgNBQoJN7iWuH0e21pyAkFfh4sWLDXkVysrKNG+stmYtHp4/iiO3KtGhRwTmvBBRH0hAHapyT+Hw9cewch6M6a+8jmUvzEJ0dDSiZ8Vi2f9dhnkje6LDk6tISrqEcrU6eNNcCfCzUL+eFVa+CXkVxo79DJs3H8GDB4b6f62fXWxNAiRAAsYg4OXvj67Tp+stOmjSJL1lGF1A6THsmy8LJAiz0/di0ZtzET69eSBBO1sUEi5HRkKS2aEhIbN20lqrtvjeQ+1zFfZ1g4OSkVxDyjKY/+XnkfTqcw2BBOvYdZib8aUOgQQD9a/B7DEYIZMVpOQRNFlfaDgJkAAJkIBKAjZw7dUbrnkncSD1GoqrxfU1rVwx8He/Q5j1GXy/5X+4UFyjUoK53xAGf+STajIppO49LhsICguLR2JiKmqqLPe50p0iW2pLQMipcOTIEaSmpuLu3YbUdtqKkdYvweWz1/HEyhfjn41EgJtsg6MqFF69gSp0QsCEcRjqrrAawtoFfuMmYERXa1RfvoRrFhqk1RG62TVT/Czk3xXtulhY+bZgQbIk4L9u3T5UPqzUTgBrkwAJkICJEIiKi9PL0p5LlkAISrT3o/ZyJq5KVw5Yr3gL09Ruc9M0v4Ba38rTGxMue76Kid9sx/T4pwFIEzJnlKhtrt3NCjwqeQTpr2kVTcWoevigsU5EH3SR7AtjA2dfv4bEzLVnrqNEvSAACrI8XGAvGck1pCwVbuhTLBm4/z1SNp8HhC2nVuzAoi9eQT9PHVbtGqJ/DWmPPlzMpC2DCWbSkXSDBEiABFoiYOM9Cr+f0QM39/2Afdly82Xt+2Li3GkY+CQP2Xdl6aBakma+92WDP5wRqX8fy7aTOrP5Ou5euIvqR9X6C6UEEmiBgJBT4fTp0zh8+DAKCgpQU6NDMEv8GKUlNUBnH/i4yO8KWo2yh48Bax8M7Ous3BKb7ug/wA2oLcI9QQYPiycg+yx0cPhY8llY+YiD4to+FMIqwvPf38KB/xxFweUCbZuzPgmQAAm0awJ9g4PhMHy4zjaOWLhQ57at17BpcKDlPf5LcCs1XQPzSpD71d+QKUngHAifdXEY7t2tPiFzpCeAPciMfgep+Yb6HVKIsuwCqP9LXo2S67nS/ABAhyBfyL41WvcLRh/BLOHIykVReUvRBHlZnnAZOxCdpc0NKUsq0jBv4jykviEXSFi5CQs/joGXTttNGaB/DWqPYRCZuhQGE0y9B2k/CZAACWhMoAPcBk/Hq39agHG+9k1aWbsNxowXl+D306Zi0jBP6DBfoIk8c7iQzYicMuUrcDap/j1640Qpzm27gaA+pptPYczIQRBewpH29Tz9oVCCUQkIeRUyMzNx6NAh7fVYdUBHOxFQUw3ZQq56IbZw6tz081N74WxhyQSEz8J/LtuH8mJu3aPLc5B1tBjffZSG345f1KU525AACZBAuyRga2+PMW+/rZNtwhZJAyIidGrbuo1E6OjiBmuNlIpRmbEFB1dltFBbqPcf7I7bI6lnveh9TJ/hW5/Ut1MoJq6Oqx/EL/wCB/76M4paGrdvQZvsdu2Wg7hSqkaY+DoubT8mrR6CPsG+jX47D8agF0Lq7xXuRtrBm40rGGQK5N/LzyFji0zWKASN6tWYtNiQsuR16nVegtw1r2JvgrAiAbBetA6xH05slg9DMxWG6F9D2qOZ1ZZQi8EES+hl+kgCJEACDQREsHXuju7OHRpKGk5s3eEfEoawAGdU3rmJK7m5uHLzLsqbjqQ1VLeUEyGo8PhxlaW4a3Q/H5c9NroOKiABeQJCXgWtD6vO8O7pBJRfQOpF+aXxtujawwO2tbdxvUDFnLTqAlz47QHQ0QveXZR81mptDBuYI4En3P5Nr26trtTh/7VeGtmYBEiABIxLYGBkpE4KQmNjdWrX+o1EsOvhByep4icHzuKO0vF4YX/8LfgmOh6Indswo19pTgBh+5s34+uTOUeuwZzPZqBLwyinCHYhf0C0ZLsjoDbhXezamad+4F5TKIUbcfDrdBWrE8So/PUXnN0v3c8pch5Cw+QTY7uh3+x5Ur/O4+bajbhQqGrVRCluff8vnJWsuhAG5udgiJ/8FpuGlKWp8+rqNR38R7M+UddWyT29+9fA9igx0VKLGv6bWSoA+k0CJEAClkXgCR7mnsDOjZ/ho/f/ho/+sQE/Jp3Hncr6b3K1Dy7glw1rsearBHyzdSu+SfgS/9/qr7Dj9C1Y4hDw3/8+BNnZS+HmJvvaa1lPiyG9XbKkJ/o/0x1e/Ux3ZYIheVCW8Ql06NABvr6+mDBhgg7K7NBjcCC6WpXj0u4d2PvbbTyuFcSI0GngGET1qkLWkdO48VjhV3D1HZzZvRsni+rgMiQQvTpa6aCbTcyZgMdgB8x//ym4erias5tG882jty2ilw1C4OiBRtNBwSRAAiTQFgSc3NwwYu1arVUPmzpV6zZt1UDkNx4jFgXWq9//Drav3IJcuYF0cWEGTiesxJcDFuL2xI/x3EcL4SndEqh2y1aculQqZ7r89jdPI3j1H+DXbBsdF7ntjs7j5rJ4pOm93dFIBMQvBOJm4Mu3EpCVI2eTuBC5m1biy9Dl9QEOBMLntRj0aWKXEORYjOc2LKpfrZD8HhLn/gVJSTlywQkxKnOScXL1a9i4OKF+u6TI9zD9w2lywRIBhSFlyaHV9VR8E2f/mSD1XVWfaCrcAP1rUHs0tdsy6slvAmsZHtNLEiABErBYArV4+NseJPx4FqV1Ugilt3AhJR851x5i0e898OuW/+J0SS2s7N3g5WaHmrJ7uFt6D+d/2YaSJ/OxIMIL5v6HY/hwB8TGDsbcuSMZRDDA/xUhIDNrVhj8/b0w/MWtBpBIESSgnoCjoyN69uwpCSTY2Oj+iVWfZ6YEm3aeQ+oPXyPT2QcBg/rC280FzgMHoXvyMXzz1bX6MscaFN+7jes5V3H3cS2sXIbj6bG9IUvbrN5i3rUEAmvXjsCkSUGYt/owuvXsZgkuG9TH6dO7IrvOGr97doRB5VIYCZAACbQnAkGTJuGUFgYJwQdhiySTOUS+GP6393Hhl5m4WViI0lWx2Lqq+coK69iNWPjFC+jR6YFkS6BsYbujwgSkDEhACvrCe8dBzPf9r3R7I084x/8VE0NclGOQbneUKwzwS7Y7ioLf+hiFQXnlTZWX2sJx3JtYeKgjNo5fjMRVi5GotGIgvDd8i7kx0m2XmtRxRo9F/8Ail+7YPvNjlCavQorwalKn8cI6dh2e/2SpiuTFhpTVqFOnszsZyJJubyTJVRHqikwtBHWIT8dbb4bAGvIrCvToX4PZo4UTFlJV919YFgKIbpIACZCA2RCoysXhn86h1MYTwZPGI6yPGzo8eYj8Sydw8MgJ/JLogtsPOyNw+mxED+0uzZtQjYe5x/Dj98dw6+hxXBwyE0FNZlaYDR0IAxWxsaGYOnUY7O2ZNUKfnhUCMsuWhWHatGBJQEY+iHD0xIWGvAP66GBbElAk4OLigj59+sDLy1CrX4Q8M9FY6tIDhw8cxa+3buD8yRuo3wFWpl2hzKoTegRHYsqEYfC25wJgGSVLfVf8LLRUDvr4zYC0PvTYlgRIwNQIePn7IyAuDtnx8RqZPnLuXI3qtadKIu8YLMrJRtben5D6ehzypbsBAYHwjl+JoOBQDInyR/1mPl0x6E//RBH+giOr9kvdcIFD0U/Ytkw6+z8yDtEvh0rrK/NUtt3RIWyN2yPZ7ui/Ef6YvyhQTRtlcmRlN3En7xFcY97FGwXTkH78MM418+MdhD8zFUH+srTLsrby787wivkIbxTMRPrJTFxd+y6ypdsZ1deahIANS9FnSARCQzwb8yTIi2g4N6SsBqFtdiLO34lt0W3Vv23mtkkpZjDBpLqLxpIACZCArgTqUHX9Ei5VWaPr6KmYGuojXWHgCrfuLsDtDUi8VAjb/jMwuSGQIOiyRWe/CEwZkYsNKbdwJf8xggIcdTWiXbaLiwvA9OlDEBExoF3aZ0pGCQGZP/4xAqNHDzTLgIwQCJEdQoCESZhlNNr2XQge9O7dG66uxtg2xgadeg5H9OIhGFtwA3n5hbh95z6K7j9AeY10iZdNJ3Tt2gVdvH3Rt28veDkzGNm2T0Tbazf3z0JjE+YKQWMTpnwSIIH2TGDI9OkaBROEoIOwNZJuhw1cY77Cu3VfadDcB+GbchG+SYOqnjFYUidbAq+mfid/BM16U/JSU0tyS+QZhshP9yHyU4WaS19XKFB36QK/N3/Gu2+qq6P9PZFnCMJmCS/dBUtkxIQgLGap9gYotNBPVif4vXlYP0aa9r+C3c0uhYBTgQbPUUNDFf1rKHsa9PBERoDBBBkJvpMACZCAWROoRen9IlTDGX36uCtsVeSEnn27w+rSLXj19UanZhw6onufnnBMSUdefjHEAY4tzIxoJsBgBXV176qVtWLFd4iPz1ZbR3ZTtuWEsP2OpR7qeCYmpmLmzL0aoRECMnPnhmPo0N4a1WclwxGYNm2a4YS1A0k///yzxlYI+RD69esHOzv5RHQaN9eyoi2cvfwQJLy0bMnq7ZuAus9BwXJt/q5YanBaHcOcnAIEBKzX6CHgCkGNMLESCZCAmRMYEBGBrtOn4/6uXWo9HbNkidr7vEkCJEACxiLAYIKxyFIuCZAACbQrAmI8qapCHWzQ0VZx6w0rdOhoCxFE6Nixg1KrRba2CgEIpdXafaEw2/Htt8cgMnIg8yEYoLeEgMyMGSHo0aOrAaRRBAm0TEBIquzn56d3PoSWNWlSQ4zq0ju4kVeAoooaWHV0hkcPX3h3dahPqKeJCNYxCwIMTuvXjZYahNGPGluTAAmYM4HQ2FjsVRNMEIINwpZIPEiABEigLQgwmNAW1KmTBEiABFqdgAgdOnaEFR6itOyJZPuiRhPEeFRaDjFq8LD0MergDKvGmwDq8KSsDI8hgmvHDgr3mlRstxfCbMe4uCgEB/c1y+13WhM8AzKtSZu6ZASEpMoBAQEGzIcgk6zqvRr3s7NwpaQDvAID4eOoEIStLcJv+3/CnrQbqGiyCtsaDr4j8Mz0sQhwVR6cVaWR5aZFgPkQ9O8vBmH0Z0gJJEAC5klg2NSpODp8OCrS0pQ6GBUXp7SchSRAAiTQGgQYTGgNytRBAiRAAm1OwAauvXqji1UKLqbnYJz/MHSWRQwqriI1vRDWHYA7Z35DQXh3eDf56/AQOWdyUQUn9PTubFLBBGG245IlY2DJWxkZ6tGTBWSYW8JQRClHEwLu7u7w9/c3Uj4EdRZUovDXQ9ib7YTRPv3h4yifB6EU2bu34cezD1CHDnD27Qe/LnaofXQH164WoDTvOLZvLMesRdEY2NlanRLeM0EC3IpHv05jQFo/fmxNAiRgGQRs7e0xODYWp5QEExyGD0ff4GDLAEEvSYAE2iWBJsNF7dJCGkUCJEACJGAQAjbdAzDUOw0Hc/cgYXMBQgK6wra6CFfOnkXuQ1cMH+uNy0eO4/vvxBg3ahB6du6AJ2V3cC3z/2fvTuCivO798X+YYV9GVtkRBEFURFnEuCJxwUQjokmsSbxWY5s28eZ184ppcm/b1Hvb21b7T3+9SW7SWr0xGmMWjYaYoLggKBFR3BcQFGQV2UX2Gf6vZ5iBGZhhHWCG+czrZWfmec5zzve8n0mZec5zvucMTt6ug4nzPEz1Go7c5APvrrCQsrAqlVI/AAAgAElEQVRmgnC349q1s5jKaOCUmDHDH8JFn7i4CVi9egYHZAZhyUP7LiCsg5Cfny9PYzR86yH0PT6hZOv9dCRerQQkU/DUc0sQ5mnbmdao+QEuJ3yJb69fR1JaCPyX+sOif9WztJ4JKP+uvPyyD9avnwkOqPbvBDk720EYgBEenCHYPzuWpgAFjFtg1tq1OLd5czeEeW+/DWGwgQ8KUIACIyXAwYSRkme7FKAABYZbwNQDM1cuQenuBFzPu4BTecoArOA17yksmOcI/6r7+OLKGRzOPaPc2f5s5oN5y2d0mbGgXkQf3gkXeXpaCFIfYjSUGIR1EM6f180U6ox/vCDvduTPPsO8WZMNhYBxjoBASEgIhH/6+2hGWU4Oqtus4Dt3PiI8bdVna5m7Ytqyp1BS+DnOX7mOvJjxCLJQTgPT314xMu0C/Lui3aYvexwd7XDo0Kt9KcoyFKAABSigImDn6IjQP/wBV/7jP1S2ApOio9Xe8w0FKECB4RbgYMJwi7M9ClCAAiMoIHYMxapfuCPk+k3kltQBNmMxbuIkBHm031kbtHw91nulIS3jKrLL6gErF/gFhiBiTiSCnfV7VsIIsrJpIxFQDoSkpN2AcoDESLrObnYINKKi7BFg4oHJExzUBxKUZSw8ERw4BuczKlBeK0WQC79uK2n4TAEKUIACFKBA3wVmrF6tNpgw8/33IQwy8DHcArYIePMU3n1zuNtlexTQTwH+utHP88KoKEABCgydgOVYBEaMRaCmFsR28IlYIv+naTe3UYACFKAAAJE5LMy0zTgQwdzCFGhrQlOLjFwUoAAFKEABClBgQAIegYFwXrEC5YcPy48PWbx4QPXwIApQgAK6FOBggi41WRcFKEABQxdorkJBXiEeVNVDamIBOxdXeHm6QmIuMvSeMf5BCcjQXHUfWbllaDC1h8+E8XCzUfkK0VSA9OM3gKnzEOVtPaiWeDAF9FvAGm7ezjDJrkFVrRSw1vT/jS14VNsImIyBhZmm/frdQ0ZHAQpQgAIUoID+CKzctg3fAJgSHw9hcIEPClCAAiMtoHIlYKRDYfsUoAAFKDD0Ao0ov3UOp35sQugLixHYkcu7HqUXj+Hro1dR0dKmFoaJtQ8iF8ViwTR3GGaioyZU5d1B7oN6mNr7YEKAG2zEyi62oakgA8evAlMXRsK7w0O5n89AG5qLzmLP7lMoVHw2TCRBeHL1csz2tmkHklbj3qWrgM8sRHnTjAKjWcAUzsEhGHc6CddulmKWmze6fpluq8nGhVuPAJtgeDp03Tuabdg3ClCAAhSgAAV0LSAMILx66JCuq2V9FKAABQYswF84A6bjgRSgAAUMTaAJpWe/wK7jeWjBWDhVtCDQwxxAMx6mH8SuxFy0QAwrJx+MH+cACzShOv8u7lXcx/nDe1DW9C94McoVHdfhDaL7jShK2Y/dp/LRIo9XDEnAAqyOfwLeVsIdw22QVufh0iXAZ0EEvDVnQDeIng5dkHXI+TEDD1yfwLOx0+AmrsKt04k4secbmG56DlEuwmeo54ew8LLyIaw3oFx7QLmNzxTQX4EypO7YhguOY+Eo/H+GiSXsXczRYiZD+ZkkpIesw+yONREa8DArEylJKchpFsE+YiK8+E1bf08tI6MABShAAQpQgAIUoAAF+i3Anzj9JuMBFKAABQxUoOYmTpzOR4uZD2ategZz5AMJAJru4eypu2gxccSUZ57D8mmu6Lw83IKanBR8/eVZ5J1Mwc3JqxBia0BpO+rv4sezZXCdtQqx090hrr6N0wnJ2POlKTa9GAUXwxoZGZkPnqwGpUVtGB8ThUmeEgAumL16DEz3fooT36bD66U58ByZyIa9VWEgRPkQBki4CLNSY7Q/S9FQWYIiRTeLCpX97bImQtN9nP3mBK43AWZe87Byjk+3WQvKI/lMAQpQgAIUoAAFKEABClDAEAU4mGCIZ40xU4ACFOi3gBQ1d24gt8UMXrHLsDDIqeMe/NaSe8htAswnzscStYEEoREzjAmYg9iZudiZeg837tUhJES4oGwYD1l1KYqkvoiZPQmeQm5z59lY/aIp9u44jW/PeuClecZyGXwQ58vEDBaWQFNT+9wOeU1iV8yIW4rCXQn4+pgrNsX0r35tsxNUL9ar1qhpJoO2sqrHqb7ubx1dy/e3PdW2+doQBSQIWfMWQgBIG2tR2yAF0IqGmlrUt7YB0gZUV7fBdYzKV2kzWzi6+iLUPxJzZgbBmWvNGOKJ7yFmrh3TA04vu5husBcg7qYABShAAQpQgAIGI6DyC8hgYmagFKAABSjQbwEpHtc+Qhvs4ec9pmMgAZCh+VEtGmCJgEm+sNVYrwXcJwZgTGoaHjyshQwSGMrcBBMzC1iiGU0q60CIXSIQF1eCXV9/i2MeL6Gf18E1Co3qjSb28J1ghxOpyUh3XoDpvo7ymSsmYybhqbhi7NzzDfbUe0EmAxxGNQQ7Z6wCYksJHBQLxjg4uGhnEHli3k/Xad/PPQYsoNu1Y4xrcFK36QaNy86A/5Nh6BSgAAUoQAEKjFoBDiaM2lPLjlGAAhRQFRDBzMICJniMpmaZyg4RzO0ksFLZMppemjj4YIJDKlKTMuD85HT4OlgAEGPMpEWIm/Ep9nz5OerHSyGD82jqto77YgHP+fGIq/och/Yeh/UbqxEizPKACFZ+C7B2ZSP2JVxGRZslBxN0LM/qRpeA6toho6FnxnVRd/BrxyjPudGlR9NhukGjs1N+aPhMAQpQgAIUoAAF9EiAgwl6dDIYCgUoQIGhEzCFg6cHbHAel9OzMdd3ascsBFNnD3iZX0BBXhmaQiQQLrerPxpQeOMOamCDqZ4OBjMrQd4HU2/M/8lSVO1OwN6jNnhjTQis5Tts4LfoWaxs/AoJVx6iTczBBPVz3uWd2BlTV/0cviXVgIXqvBQzOIYsw8/cg3Ettxa27orbt7sczrcUMHYBXgQ18E8A144Z8AlkusEB0/FAClCAAhSgAAUooJcCHEzQy9PCoChAAQroXsDUazKmO19E6u1E7E8UYfn8YLhaiQHbiYiJuYodJ1KRFuqOBT42Ko034uHlRBz4sRSwj0Kob/uleJUCev9S7BiKVa/6oqTKRH2gROyMkLifwn3STeRW28Kd+c17OZfmkLiP1VBGBHPnCQjvYTxGeSFVuDO761oEqhX2tE+1nPC6P2W7Hqt83586VMsKd2Qr+6Ssi88UoMAoFhiCtWNGsZZa15huUI2DbyhAAQpQgAIUoIDBC3AwweBPITtAAQpQoI8C8rv0l8nv0r+efgAfZ9pjXNBEjPd0hoMkENNdU5G695/Il2+zRWvVQ5Tl3UF2WT3aTJwR/vQc+FmY9LExPStmPgburppisoRzYFifkxwZV1oPTV69bWtF1c0zOJML+M+Zg0kO3b9m0LA3Q+6nAAX0ToBrxwz4lDDd4IDpeCAFKEABClCAAhTQSwGTtra2Nr2MjEFRgAIUoMCQCEjr7iPz1HEkXypAfa9/AcSw9pqGBbExiPDsPithuHKAD+1d4E2oKshH4YNq1EsBCzsXjPXyhIfEfEj8R3elzSg+uRM7UoG5mzYixoOGo/t8s3cUMCIBaTmuHvoch265YmXH2jFC/1tQee2H9rVjWiwRFP8K1oRIjAim965KK6/g0O4E3HJfoZJuEIC0HNcShHSDZWgRByNezbX3elmCAhSgAAUoQAEKUGD4BTiYMPzmbJECFKCAHgjI0Fz7APfzC1FcWobKinKU17Uo4jKDrbMznJzc4ePvDz+PMTDsS8IyNJdn4eypTDSGxmFpoDKNkwyNpZeQ+PUxXKloVj8nJrbwinwSTy+YCjdL1TUC1IsZx7sW1BYXokwYaen10YqKy0eReAOYHLsE05wUMxNMrDHW1wMSca8VsAAFKEABPRZoRq2wdszYsV3+/0z4O5PbvnaMfwiCnA37r+aQnIDmGnm6wbGuEqj/KWhEeXZ7ukH/sEA4d5/QNiThsFIKUIACFKAABShAgYEJcDBhYG48igIUoAAFDESgtfQsdu86gcIWEeznrsfmGC/5ItLSh+nYu+Mo8lraYGLlAr/xnrC3AJqqi3D33kM0tJnAzHcJNr0YBRf1Kx8G0nNdhVmLa/s/xsGshoFXyDtOB27HIylgZAKX713GvvR9mOk3E/FR8QbY+97TvRlgpxgyBShAAQpQgAIUoAAF5AK894MfBApQgAIUGMUClbh+Ig2FLZbwmvUMVs7xkA8kAI+RczYNeS0iSKY8jReXh8JFZQFmaU02Tn59CGl5Z3DyZhCeD7EfxUb96JqZBJ7jfeFqo+3rgwyPC28jqwwYGzQRXjaKWR0iV9iLDXS9jX7wsCgFKDB4gd99/zscLj8MZAH10+thZW41+EqHtQYZGkpvITMTsAmfhUkOw9r46GqssRx5hdWQWo+Fr0fXGQ2jq6vsDQUoQAEKUIACFDAUAW1XAwwlfsZJAQpQgAIU0C5QcxdXcuth4hWLlQsnwlF5Pbu1DHdzHwHmwVi4RH0gQahMPCYQC2Ijkb0zBXduFKA+xB7dV4zQ3uzo2iNBSNxLkCYl4PvMUpSVtyFkVjQifOy6pKoQei2smVAsH0wImreUayaMrg8Ce0OBIRcQZiXIBxIULf1w6Qc9mZ3Qz3Rvle2p8yoL7iKnXvFzy8jTvUlr7uFC6llk3MxDRYMIEs8ghEbNRNQkT9homf0nq7yKw5+l4lFQvPpaC0P+SWQDFKAABShAAQpQgALaBDiYoE2G2ylAAQpQwOAFZI9rUd0mxhg/T9grBxKEXjXXoaahDeKAifC31bwmgqn7BASPOYvUBw9RLQOsNRczeKM+dcDSHdOW/xTjAk/j8LfnkPhJHm49EYtl8yfCWWVGR5/qGoJCW01UT672Bt5t63XFce0Hcw8FKDDkAkJ6I9XHn1L+pCeDCQ3IT/mq3+nebiR+gRvKDhlxujflAszXa5Vr70hRW3QdqQdv4crVBVgd/wS8rYz5j6zyQ8JnClCAApoFGpobsPPUTswJnINpftM0F+JWClCAAsMkwMGEYYJmMxSgAAUoMPwCJmYWsDSRoa6pBTJAkeIIgLktxlj17QL08Eetry2awSFoIV76xQRcOHoEJ9K+xj+ypmDhyljM8DTeeRv6erYYFwUMTaCwvBDbs7arhZ1Rn4Gzt85idvBste0j+obp3vrJX42bScdxvRaQBMzHwrnB8LQTobGiELfPpeBMzgns2deCF9fOgw8HFPppy+IUoICxCAgz9Taf24zIq5E4/fppA0wBaCxniv2kgHEIcDDBOM4ze0kBClDAKAVMHDzgYwOcv3wBt+aOQ4hyFoKpA7y8bHC+4D6Km6YgwKLrwEIbmgtv42aNDBZTPeHEGyY7Pj9i23GIWrUB/sGp+O5IOn7YWYA70U9j2ewAjNGSqqLjYL6gAAUooEXg0MVDGvdsP7ldDwYTmO5N48npy8amB8i99xgm9jMQt3o+/JR/bx1c4OHnD7/TB/B5ago+O2iLn6+JgCP/jvRFlWUoQAEjEhBmJQgz9YSHMMiemZupB38XjegEsKsUoEA3AV4e6UbCDRSgAAUoMGoETD0wdbobTJpvIWF/Em4+qEd7kgV7TIqZA9/mGzidlo8GtQ7L0PzwMhIOnEMFnBEa6g0Ltf18A1jCedIivPSzNVjgD+Se2ocP//kdLpc2gImE+PmgAAX6K1D5qFJ+x6Wm44Q1FLKLszXtGt5tinRvv1gzCx4NN5H4yQ7sSbqJ8mZh3hsf2gRkFUXIbwJsAoPgrRxIUBYWS+AX8yyeC3dCS85R7EvK7fL3WFmQzxSgAAWMV0AYPBAGEZQPYZCdDwpQgAIjKcCZCSOpz7YpQAEKUGCIBSzgOT8ecVWf49D1c/jq44uQjAvC5PGecHSwwaTpLkhO3YeP84VtHrBprcbDsvvIzi5FQ5sY9uELMd+PKXy0nSTxmADMe2ETAi+fxOHvM3F41z14OjQCsNV2CLdTgAIU6CaQfDO52zbVDf9M+Se2rdmmummEXjPd28DgRTC1MOtMNahWiS0CYlfiyQd7cTz9Gxx0/hesiXABJyioIfENBShgxAJdBw+EQfbL9y5z7QQj/kyw6xQYaQEOJoz0GWD7FKAABSgwtAJiZ0yNWw97n9NISr6Mwvzr+DH/unqbXbaZWHsjbMFiLIzwgpV6Sb7rJmANt2nL8LJfEE4fSsCZvHoOJnQz4gYKUECbgGr6Bm1lhLUU3n70NhztHLUVGdbtTPfWd26RjQT2JlLkF5TiEbwwRtOhph6YtfoplO46hOvff40kp3WI9bPRVJLbKEABChiVgDBoIAwedH3sS9/HwYSuKHw/dAKN2Th55QIyr/0RW4pUf0dPwbqwd7DCNwKLQwKH93YyfYxp6M6A3tVs0tbWxowEendaGBAFKEABCgyJQHMNiu/fR1FxKR5UVqC8vA6t8oZMYGrrCGcnF3j6jIe/nxsk5swE2O9zIH2Egpu3UVxvAY8pU+BtMzyGW026rnmhOfJ3+ZVHMwy3UmAEBYQFlud8OafXCN6f+T5eW/Jar+WGu4C0JgdnvzuC5JwamLqF4akVc+Fycx/+mQrM3bQRMR7mwx2SfrXX9gBn/7ETxx+MQdjzL+KpoDFaZh20obnoDPbsPoVCeGPWcysRbZ2J/92RikdB8XhjTQg4T1C/Ti2joQAFhl7grf1vQRhQ1/QoeLUAXs5emnZxGwV0JNCMkjs78PYXr+HT9lzBWut19/wAh1ZtwgyHof7eo48xaWUZtTs4mDBqTy07RgEKUIACFBguARmaq4qRV/gAVfWtMLGQwGWsBzw9xmCov04KPeRgwnCdZ7ZDAd0LxH0Yp/GuS00t1b9TDytzfZwvVo9SRbq3UjjI070VldlyMEF+EmWoyzqCHV9koha28AyJwKy5T2CSs6a/DjI03E/Bvr0pKGy1gaefHSrvlqCZgwma/nPgNgpQYJQLFJYXwvtDb6291NdBdq0Bc4eBCTSjKP0NRCZ+iBIhcvE6bH/yp3hm+jwEWgo3jMlQV5yML1P+jI1Zx9r7JnkPF37xOsLl+4eiu/oY01D0U//r5GCC/p8jRkgBClCAAkMq0ISqgnwUPqhGvRSwsHPBWC9PeEg0XegY0kD0u/Lmh7h19jR+bJyKF5YGdi5K3ViMi4mHcfRKGVrUeiCGtVc4Fj09H9PchvZ+Ug4mqMHzDQUMRkBI3zD90+l9jvdA7AHER8X3ufxwF5TW3FGke3uENozlYELHCWhB5dXvsPvQVdS2WSEo/hWsCZF07FV/IUPzw6v4/osfcKWiWb5LzMEEdSK+owAFjELgg6MfYPO5zT32teKNCr1JAdhjoNxpcAKyioPY9NEq7BJmJIg3YOf6v2KDl4a/3bIinPx6A568JQwouCM67BASls8YkpRH+hiTwZ1YHQXMNRN0BMlqKEABClBAXwVkaC7PwtlTmWgMjcPSQGUeZhkaSy8h8etjHRcsOnpgYguvyCfx9IKpcBuyOys6WtP/F63FOLtnL44XNgD2jqhYEggP4YYU6QOkf7EXiXkNgIkVnPzGY5y9BdBUhfy791FReB6Hd1WgadNziHLh4Iz+n2hGSIHhFRByPvfn8aeUP+n1YIJ4zATEvLgJE5Tp3sbwp1b7+TWD49QVeNV7OrJulsDUq6cBZhHMXaYh7mfemHIpHenXi9HkZKUlNVJ/Pj0sSwEKUMBwBCofVfY6kCD05rvM77Bu/jrD6RgjNRCBalxK29U+kIAp2LDot1ivaSBB6I3IE9FP/hwbso9hl7QEyVcO4fyTEYix1nW6W32MyUBO5xCEyW+4Q4DKKilAAQpQQH8EWkt/xJ5dJ1DYIoK9UxWWBNpAfh38YQa+2HUUeS1tMLFygd94T8ivg1cX4e69hyg8/y12lTVh04tRcBHrT3+GPxIpaq6n4HRhI8y8ZmPVytntAwloQ1POOZzKa4CJZCqeeXEpprlYdoYnrUbOyW/wZdpdnDx5G5Ofnzokd6h0NshXFKCAIQlkF2drzQOtrR8Z9RkQ1liYHTxbW5GR3y62g3dIJLQnphj5EEcmAhHMHXwRMtu3b82bOyEg6ikERPWtOEtRgAIUGE0CyTeT+9SdD85/gGefeFZPUwD2qQsspI8CslJcuZupiGw2ng70lP9+1haqyGESZtu5Y1d1CSDNQV51M2Ct8rtQ24H92a6PMfUn/lFWloMJo+yEsjsUoAAFKKAqUInrJ9JQ2GIJr1nPYOUcD8UXocfIOZuGvBYRJFOexovLQ+GisuCytCYbJ78+hLS8Mzh5MwjPh9irVmpkr6tx50oeWkzGIXZlNIIclV8dmlBy9z6aYIuJCxeoDyQIQmJ7BCxYiJnZnyL1zm3cq5+CEB3coVJeWIjm+voBnYPi7Gy145y9vWFupY/519XC5BsKjEqBY9cU+XX72bvtJ7fr6WCCDM21D3A/vxgVirVj3LzGwdPZmnfV93qOm1FbfB/5xZXt6QYlbvDy9YSzlVGP5PeqxgIUoMDoFGhoboAwE68vD2GQPfVmKhZPW9yX4j2UqcPFhOWIyBQGMaKx/YUEvBlgq7289CL+8ucIbBFynJptx4VfvYnwjv/LVq3rWezc9Ck2eJijrjgFx27/gPdTt6FzqGQK1oW9g/jgBVge4N7jBWvtwWjfI6u6iITsTKSlvYtttfLM/+2peIK2YvPk+VgcEtjrzU6a6xDabI99hWsQnogIh7vGG/E1WVgCjdk4eelb7D6xRWVhY3dEa4yrGhcTXkRE5hEA4XgrPhF/DnHW3mnlnvqT+NV7T2KbPE3ROzjxxu/7PlugWQTfmR/ggFCXyTg80dtMS5EN7G2sgWrhgIeorG9tj6LxPP7yURy2CPbiV3HgF+8h3qmH2eqyfBz8ZBlWFVyX+26I/Q47osa1fy50FZPSh8+DElBeERhUJTyYAhSgAAUooJcCNXdxJbceJl6xWLlwIhxNFFG2luFu7iPAPBgLl6gPJAglxGMCsSA2Etk7U3DnRgHqQ+zRU1IGvey7roKSNaC2uhUY4w1ve9WvDc14VNMAiH0xyV9D/kyhfVNXTAx2RGpqBR4KdVj38OWxD/E+qqzEh94Dv993R1CQWiuhf/gD4v7939W28Q0FKDD0An1N36ApksPlhyGstTDNb5qm3UO0rRnlWdeQW20GjylT4G3T5YqBtAI3j32LIxn3Ud+mGoIY1uNm4pkV8xHkYKa6w3het5YjKzMX1eYemDLNG8pEg0oAaeUNHPsmERmFdVCjM7HDuCeWYkVMMBw6LlApj+IzBShAgdErkJmbCWGQoK+P/z37vzoYTOhra/0tJ1xYrkfJtT9j7cHfqQwiKOu5jk8zX8CnmVOwLvJj/Cl2tpaL8sryfXyWleB84tuIy/i0ffFgtcNKkJz1MyRnAe7pH+DQqk2Y4aDhN0qPdQgVKmIXXp59BweefxvxHlp+E8nbFyyaUVf4BV79ZL3KIIIyOGVc7oi+tRv7Vi9SWNhjeng8FmcewTFcxLaT32Lj5A0I7PJVRFlL+7MMtbnHsUcYSBCGTwIWIqI/N3VZBiImKrD94H7/rwscrRW/GS0j8MryLTjy2RtIln6I1w7HIGp9PDw1xt6MoozteE0+kCCsvbATf1MOJAgx6CqmfveHB2gS0HgKNRXkNgpQgAIUoIChCcge16K6TYwxfp6wVw4kCJ1orkNNQxvEfhPhb6v5T6Gp+wQEjxFD+uAhqmWG1nMdxmtiBgth3YjWZjSrOZjDbszw3tVvYWUFn5df1lnnrCQ9feHXWTOsiAIU6CIg5HgezKO/ay0Mpq32YxtRcukEEhPP4k6N4m67jkprkZWwD1+fFwYSzCAZNwlhYWEIDfKExEyG+vyz+OKTI7hZo/hF33GckbxoLsGlY4lIPH0HNWp/QwDU3ULC7m9wXhhIMLPHuMnTEBY2FUGeEpi1PUJ+2gF8cug6atRGGYzEjd2kAAWMVkCYgdefhzDILqQA1M9HMx7e+gvWHvw7ELQTJzbVoO3dtvZ/vynGhdjtWCcfML6OTzNewa8z8tH1T0X/+1WNi0c2IUoxkODu+R6Oqbb7qyycmPsWogGUFL2GqE8+xMXGrq2q1wHJW9i59AKKf6OI/d02SP/1Ag6ErYO7EGDtH7Fq179hV2Ftj+G2Pvwar3+yHklu23HghWJIlRbv1iAr7j2FRQmSb72hZiFym4Xn7eUtAdWJOFPa2GM7QCUu3DimGEgJx0uTp2JIf/XU30F6aW57TOIA+NorB2dEsA14FXtjX5U7lRS8hhePnEedhuhlFd/ht0kftscs2YK/LIroddaIhmo6N2mNqbMIXw1cQPMVlIHXxyMpQAEKUIACeiNgYmYBSxMZWpta1L+YmttijJXq6ILehKx/gZiMgaePHVB3A+m35HNXFTGaw9nLDebSUuQVa/lC21yMGzcrAQsPeDoN/q5cISXRzPXrdWY0a+1andXFiihAgb4JCOkbhBzPg3lsz9qOwvLCwVShs2Nb76cj8WolIJmCp17+V/zr+mexfPlyxK15Gf/25s+xYoojUHsdSWl5aNJZq6Ohokbc/zEZV2sByeSn8PLrr2L96hVYvnwl1rz8Ot785TOYIgFqb6QgLW9gqe1GgxL7QAEKGJeAMCggDA7093H4Sv+P6W8bAyufhm2Zf0SW9wfY+9wGxKjeuS9yR3jUG/hwzXvyC/vCnf67kv6O5PquF/b707IMdTn/hzflKYEAd+8DyNjwb1ik2q5wh3vMf3Vc4EbtdryZdEHlArd6HZD8DifW/xc2zFBPZSRyCEf88h3IUFwoh3QXNh74Gtlq4VvCY6xyZnQy3jn2a9wNPIaLG95EvFpaJwkCQ1/H+yveaR+cECzOnUCOsi6RL+aEzFFAnMEXt/PUf9t2Jaq/iqM5F9u32v8SGyf3IS1S1zr6/L4ZRdcOKmZBuGPxrHWIVpsFYQ7PyC34wHuKMCEt2zYAACAASURBVHyD5Mz/xMc5qr8pAcjycejwu+0LPos3YOezGxEu3Mw24EdvMQ24Yh6oEBjM2SEiBShAAQpQQK8FTBw84GMD1F2+gFt1ym9jQvodB3h52UBaeB/FTZpueWxDc+Ft3KyRwWKcJ5yM+q+lJbymToGzSR1uJxxA4s1SNMhvsBXBdtI8xPg24drp87jfoOIrfCqaH+ByQgJ+rGiDfegU+FroZvAmePZsOK9YMejPXdCWLbBzdBx0PcZRQT2K07/EX7duxdatH+FkcXPP3ZZVIef8Cez/6++xVX7MVmz9636cPJ+Dqi4fk86KWlGVcwEn9/+t85itf8I/E87gfE5Vzz+YOip5jJyE99uP//2XuDaoH6MdlfKFjgWE3M79Sd+grflDFw9p2zWM25tRlpOD6jYrjJs7HxGeturrI5i7YtqypxBpD1RfuY48jX9vhjFcfWpKVo6cmxVoM/PD3Jjp8LRRTaMngrnLNCyLi4A9ynHlSgEHYvTp3DEWClBgyAQGOiggDLJnF6uvDTZkQfa74mfx+9intKS2EcF2fDw2yy80A5Aew9Hcyn630HlAJc5f+EyRTulpvDEvRku75vAMXYc3JMLd/iVIvnII55XfG2UFOJayS1FHON5a+CpiNKVBkjcqXCh/Db/vmDXwv9h5o7wznK6vxOvxm2VPaknlJILEfyFeUqb2e5SDwo4ZE5YICF2DDfJ9JTh2La1zoKFrG1BNceSOxSGzEDBkv2VlqCv8HP+unFEgXo9fzQzsvvaFaBziVmxVxH8EWxL+T2U2iGp6oynYsOi3WO81mHkUfYypmxs39EdgyD5S/QmCZSlAAQpQgAJDImDqganT3WDSfAsJ+5Nw80E92hNN2GNSzBz4Nt/A6bR8NKg1LkPzw8tIOHAOFXBGaKg3LNT2G98bU885+EncVEhaC5H+1T/w1//5Pxw4loJzlx7AbtJkuFaewd6Pd7dvO3sSPxzah4/+3w4cvl4J2Ifh6fl+OjWMWLdu0CchirMS+mYoq8Kd7/dhV+It9DxxW1GdrAzpn/wdn/1wBlm1KmldarOQ+sNn+PCTdFR0HVCQVeDalx/ifz47gtQs1TuVmlCUeQI/fPZ3fJJe1suAggyNOaeRkDmYH6B9I2GpwQkIuZ118dh8bjOEtRdG9tGIirJHgIkHJk9wgMYhUwtPBAeOAZorUK7638TIBj7yrTdWoeyRFCaeQZjgqDqQoAzNBBbeQQi0Ecamy1GradxfWZTPFKAABUaBgDAYIAwKDPRx7NqxgR46tMd5rsFSD0vtbYhcMcU3WLH/Ig7k5aNrQkHtB3fZo3pHvngqwlRnJHQpCsvxCHP3aN+qOohRcxGH5Xn7hYX0FmOJfy83H6nNGijG5YflWr+z9rp2gaUHguwU6Yyklahu6vzSLHKahxcCwtvj7SnVkSwbX5/8RJHiaA6en+jb/eJ+V4sBvpdVncB/f/WOYv2Hp7F9zVtaF3kWOcXhb8pZKB2zQdQv/Lt7b8V/RioWXB6GmAbYBA8T7s2kAgUoQAEKUGD0CljAc3484qo+x6Hr5/DVxxchGReEyeM94ehgg0nTXZCcug8f5wvbPGDTWo2HZfeRnV2KhjYx7MMXYr6f0S69rPKxMIPj1OXYZO+FU0kpuFR4H9d/vI/rKiWALttMbOEVFo3YhdPhaaXbexemL12KRLW2+/dGmNngN204F2/tX3z6UlpWdQuJBw4jo8gKwYvnoPXEGdxRGR/oHmczipMPILGgCZAEYf7yJZgX4AARhFkHaTiakIKsglM4nOGH9VFjFT9sZKi/cQKHhRRaYk+ELX8Ki0I9IP/J2ViMK0nfIyGzCAVJybgRshohatOmVSJozEVSQiYeu3vCvaxIw2J7KmX5csQEhAslA0nfoC3gC7kX9GPRSZE5LMw0DiUAEMHcwhRoa0JTS+dFAW19MrbtIgsLaE2CJzKDhakIbY1NaBEGE7QRGxsa+0sBCoxKgcEOBgiD7GtnrYWjXS8Xv4dVzx2Lx0+Ca49tWmK8zwz44ysIWfdzH+TjIcIV6X56PLDbztbiTBxQfld1i0Cwtu+N8iOdEbPmArqOVbdW3EXHChR2AfDqNd2OOdxcAtrXBEAJjt29iQcxEzXE749FfhN6XrtAZAN7G2tA9d6ajl46ImLyYrhnXUQJ2lMdrfeY2G2gQFaahi+qS+RHuXuvwRK3HgZyOuru7wthEGCPykLSU7Bu7p/wSoB9DxUJ6yf8FH8JO4GIzCPt6Y58fwkcVwxGSH6HvSuXaZlJ0kO1HbsGElPHwXzRTwEOJvQTjMUpQAEKUMDABMTOmBq3HvY+p5GUfBmF+dfxY776ZXB02WZi7Y2wBYuxMMILw7vEsD7bmsLWJxLLN4ZifvF95BeVoPRBOSrKK1HXqvgabmoLZ2cnOHmOg7+/LzwkysW3dNsv+doJ77+Pc5s3D6jimC1bBnSccR1UixtHE5DxaDxiNy1DlH0u9p/oRaA+CylpZQDGYu7z8Yj2UJ5/UzgEzMNzz7fi/R2pKEi7gLuhsQgQfpzJinHuZDaksELQiuewPERlWrOlB0KffgaND3chsSAPN3LrEKK6vyOcx8hJSkRm7RiExQTjcQIHEzpo9OyFs50zIq0jdZLmSD+6Zg03b2eYZNegSph1oPGiRQse1TYCJmNgYabbgVX9MBhgFFZj4e1ihuzKKtTKtNE9Rm2DDCYOFtA6VjPA5nkYBShAAX0SEGbaCYMBg318l/kd1s0f/AzewcbRebw13Gxsul3w7tyv4VXZXRRLAXdxK0rSX4NH4t81FFJsMtuOC796E+Hy9D+teFiRIx+QEPa629rDRvuRWvZ0qcPVF269/ukWwdrKER23n3XEr6WJAW9WpkH6I7ZJFamOoiciUC2+RuTcTkT7HJVwvBQ5bxAX57UF2oySOzvw9hevKWYkLMZbsX/Db6Im9mHBZHuEL/ottudkYkvtEWw5eETRyNPYvvz1HtJJaYtFuX0wMSnr4HN/BDiY0B8tlqUABShAAcMUENvBJ3IZNobORfH9+ygqLsWDygqUl9cpptGawNTWEc5OLvD0GQ9/PzdIzNW+mRlmv4ckanNIPAIQIvwbkvr7VqmwePJABhOsIyPhHxbWt0aMvJTJ2LnYGBfVfkdWr+ufylCfews5wt1g9kGY6KYcSOhEFLkFIsQ+DanV+bhf2YoA+WCDDXyeWITYNht4T7DtLKx8JbKEtfwCbTMePKyFDJIuP0iV6Y1qIAl7HosmNEIfMukrw+ezuoBwt2TiK4kof9SZTzhoh3JhQvWymt5lbcrq2Gxtbg0vZ6+O9yPzwhTOwSEYdzoJ126WYpabd7dp32012bhw6xFgEwxPB/706jhPJk4IDh+H09/fxs2SKLh5dk0oKEXNrcu41QTY+HjAgbMSOuj4ggIUGH0CwiCALh4fnP8Azz7xLKzMeTuUtc2Yzgv8A8TVRR0DbFrzYdZheC70aWwTFpiWpzpai0DVFFKyPJy5dqb92L6kaNLcivatshKcT3wbcRmfKmYBL8Y78bvw+xDPLt/PtVcByxl4Y90HuPXRqvYFl+GO6LDf9jKroYf6dBFTD9Vzl2YBfqPV7MKtFKAABSgwGgXMx8AjIET+bzR2z5j6JCyeLCyinLW9f7llZ7z2GoSZDXz0JiDBlJgneiuksr8V1Q8rIIUY9iGBmu/iEo3FxBAnpKZW4NrtMkR7eEEkckDAjCgEqNSk+aU5XF26DiQAkJXjSspV1ErC8MIif1jKbmg+nFv1RkAYUBhoCoZAj8AR7kcZUndswwXHsXAU0reZWMLexRwtZjKUn0lCesg6zHZR/rxqwMOsTKQkpSCnWQT7iInwUu4a4V6MSPPVqdjx+wtwdHeElYlAZw8XiwaYCckavruAkJ/NhotywKCxDFkXU5F0OgvNJi6ImOzebZBmRPrARilAAQoMkYAwCKCLR0Z9BlJvpupHCkBddIh1dBGwx/TweCzOPIJj+Aq/TnkFq9fEdKRO6kxx5I7o0DjM0DhjskuVfX3beBsHD72OVVmKtTnEG7Bz/V+xod+LJTejJOckflCmoxIWwM45i6zGCIT3mlKqS7A6i6lLvXzbq4Axf6XtFYcFKEABClCAAhTQXwFhEeX+DiaELVumvx0y6MgUC9H2qQ9SPCqrQiO8er1jTFZxCxk5DYA4GJP9u85caEVFRiKSCmwQ9sL89rRJvc6g6FOALESBHgSkaKgsQZGiRFGhsmiXNRGa7uPsNydwvQkw85qHlXN8eEG8rQGVxR1y6KBTWxOhDU35P+Kb49fRBCt4zVuKOT5Dke9Zed74TAEKUGDkBYRBAF096prqdFXVCNdjCveoj9EW9fGA4hjM2gvKBusf10D4aqmShFO5S/uzjSPslIPj2ksNeI/IbRaet3fHseoSlOQcx4X6aMWix6opjubgpfCpfUg71McwGq9j196fYGNRe6pgd88PcGjVJsxw6D4Tuecauyy4LImGX20y0uQLMs9GwvIZfY9ZZzH1HDH3ahbgYIJmF26lAAUoQAEKUEDPBYRFlIXFlMsPH+5TpDPffx/CjAY+hlJAywwCeZOmsHdxghjCugp9eMjKkHH4FAqkFvCOjcbkLndXySou4nDSfdgI6Y0C+p8Vtw8RsAgFFAIShKx5S57aTdpYi9oG4Xa6VjTU1KJeWDNG2oDq6ja4jlH5aWVmC0dXX4T6R2LOzCA4G2vqPOsQrPm1kBRPisbaWsjppA2oqa6XpxmUNtSgWjoWYzoyC5rAzM4RruNC4R81GzODXdDfSxX82FKAAhQwNAEhjd/1gs413VYlrupzFw7EHugoa2thiwj/iI73Q/aiqQYPZX2pvR6ljx9DKNrxf/PdDpOhvqFSftFevmvseHjI10DoVrCXDaZwcQqAv7CIs1DycTUeyQB37Q1rqE+9jpIHeSiVAZIe6+gSv4097Hosr6HZ/mwS+WJOyBwg9StAegxHc99ATIgzUJ+GnWlftddkH4s5ulp4We2ivTuigz7A3+PiENjfWQRCZI0X8PFXigWXxa/ig3W/xbi0DZ0LMgfvxZs9LuKsgNJlTP2xZ9kOAZVvvB3b+IICFKAABShAAQoYhICwmPKXfRxMCFm82CD6xCCFHxv5OLn3c6QWAZ5zf4K1UWPVf4QqBxpsFOmNiEaBYRIQW0rgoLhR3sHBRXurIk/M+6k+LYKpPdTh2SOGpcQB7XQOcHDW3qrIYy5+ul77fu6hAAUoMNoEhDR+aqn8Evvew/io+L4X1lFJWXUeLnekqemp0hJcKytGHSb2cHd/M0of5ihy8AP+ruPQw1/XnhqDqUcYVomBbUJsj3JQ2ChDYJebUToraET2yXUIEi7Kwx/rYk9hd5R3P+sQalON3x2Lx0+Ca2cjQ/DKEgGha7Ah7Svskl7EnhtX8R8h0UDuceyRnxN3LA6ZhQBdDGjI8nFwn3JGgjuig3dj3+pF/RygURJU42LSf2JLbQmAKdiwaAvinMZCpLog8/5fY/wv3kO8Uw+3Eeg0JmVsfO6vgC4+Xv1tk+UpQAEKUIACFKCATgSExZSFRZV7ewjrK3gEjnS+9d6i5H5BQFZ1BV9+tKdjIOHFmHGKC5BKH5X0RssV6Y2Uu/hMAQpQgAIUoAAFKNBPAVPY2Sgv4RfgWkVVD8dX49LFg1Bkzu+hXPuu9lQ8PUxjUF00GOFY5Ttu4GkBradiSUB4e8Pyu/Yrtcen1m4Y5nsr+q9WRwI+u1Ygn1mhtaLGq/j2imLRY8zB8xN91W+A0XrgwHeInObhBUU/233LceHGsfYBGfF6/GpmoA5iqMbFI69ilWLGjLv3B9g74IEEGepy/g9vCgtHA3D33or/jBzXHqNlBF5ZvgXRwg7ph3jt8Hco0vpx0WVMA/fnkT3NNKIOBShAAQpQgAIU0HMBYTHleW+/3WuUoStW9FqGBXQh0IwHD2u1/OhSLtKsrZ1WVN05il0fHsKtWjsExb6I7gMJQHt6o2K4zX2G6Y20UXI7BShAAQpQgAIU6LOAOdxcAuAuL5+LpBsZWi7oql8U7lP10k/wXycuQPNKDjLU3f0Be6qFu9WFxQlewHMTBpOS1BEzIl5ovzCNi9h2fA8uNmq6Mt2MkhtfdLTr7r0GSzrSAqnWcR270j5BclWzlq7W4nba3/Ge/G574SK5aj1aDtHJZkdETF7cfr6kPyLzzhkczbkor9k9YCEitM7G6GvjXc6z5D0krI2D50BvRxfSGyVsR7LQfLe6RLAN+Cn+Eva0PLiSgnfx24x8Db8ldBxTXylYTqPAQD8KGivjRgpQgAIUoAAFKDDcApOi5feyaG1WWFchePZsrfu5QxcClnAaa9dLRcpFmsWwG6tMd6I8pBVV177FJ/vOoQjemLtxE9ZEeXWZkSCUrcWNpNMokDahKPUT/HnrVmxV/bf9ILKEKd7SWzi4/b+wdes27L9Wq2yEzxSgAAUoQAEKUIAC3QREkEyIwxuS9uEE4YLuvx85iIuqF9Ebs3Hy5DtY/tl2IOwz7PQUVifo7TELb4WtBzLjsHz/LpwsVvlOJivBxWShvjfaLzILqW9mxWP6QHLxd4ShfmEatW8g4qN3sDunpPPitLwfv8Hag79rb1fI3b9imcqFcqGOjfho7ob2i/W1v8OTn/wGu65lqwyIyFBXnIyvEzYjJnVX+4wAye+wd6VqPR1BDcELEST+C/GSfG2JLHxz8v9TpDgKx0uTp/aQUqqPocgKcCxll+K8PI3ty3+K8AGfF9X0Rtrqske4kO5I/vm7jl1J23GoossAjk5j6qMDi2kV4JoJWmm4gwIUoAAFKEABQxAQFlUWFlc+t3mzxnAj1jFvuUYYnW40h9vEINinpqL6WjZKo73g0fWWFVktHj4Qfhg4IWSi6hoIMjTmHMMnB6+hVhKC+PXPIMRBy1fUjjp0GjwrowAFKEABClCAAsYtoEg3c0R+cf86Ps1chU8zu5Io8uY/PRE/7uq6T9N7c7gEv4l9vhZYe3AjnszaqKmQPIf+urmf429RitQ3Wkr1bbM9wp/egXTx24jL+BQltduw/rNt0LgUj+QdHHj+bQ05+iWYGPNXJNu44ueJf0Ry7TZsPCj80xyBu+cHOLRqE2Y49JDrX/OhA99qHYbnQp/GtswjSFPMjID9L7Fxcg+LEvW1tZqLONyxIPgRbPnMAVv6eqywAkXYBdxeHg5TqM4mcEd02G/xirYFllU/f/J0RzGIWh/fOcijs5j60REW1Sqg5Zea1vLcQQEKUIACFKAABfROQFhc+ZyGqIT1FKYvXaphDzfpWkDkFogQ+zSkVt/AxbtR8AiwUWlChsa7V3GlWgrYB2GiW+ePLVlFBvbtz0Ct2A+x63oYSBBqE3kh5vVfI0alZrWX9dew/72DyEIw4t9YjZBBT/NWq51vKEABClCAAhSgwCgVEO7I/zec+Nd5SLj0Jf5f6jbFnelCd6dgXdg7iA9egOUB7hChoNOgJQf5ta0I13gjiLD+wmO4R72LE17LkHD7FA6e2IJPOxZvFur9Nf4lfCliPCSddQ72lcgdM57ajcIn/lVDm4C753b8z9QFmB0R3sNiwhIERv03TgSuQkJ2JtLS3sU25UV7eXyL8dbcTZjlM1thMtig+3u8PaaHx2Nx5hHF+hU6XHi5v6FoKS+rOITX9ytmnki24C+LImCrpayQhb893dEJRGQegXx2THIgPoyZ0sMxWivjjiEWMGlra2sb4jZYPQUoQAEKUIACFBhygf1vvYWs7dvV2hFmLCx57TW1bXwzAAHlRXrpWMzdtBExHp2DAZ21taIifR8+SrwHqSQI85cvwbwAB4jQiqqcNBxNSEFWrSm8YzdgfZRyZkItru3/GAezgKD4V7AmZJA/JJVxcjCh87To+SuTrSZ9jrDtXf5s6TMWC1KAAhSggMEKGPbfxjpcTFiOiEwhQ74/1sWewu4ob4M9FwycAhToLsCZCd1NuIUCFKAABShAAQMUEBZZ7jqYMGvtWgPsyciHLCs+ifd3pKK6WyhlSN3xR6R2bFcdXDCFU+TTWJG/FwdvZeH0Z1k43VFOeCGGJHgpVkYqBxIAWfEFnMxqkJfKOvhXbNUyfVxewH4uNm2O6Z4+Sa0NvqEABShAAQpQgAIUoAAFKECBoRLoms12qNphvRSgAAUoQAEKUGBIBYRFloXFlpWPoC1bIKynwMcwCoicEPLcJmyKn4sgiXxVOHnjYs8wLI7fgF88FwoHfvscxhPCpihAAQpQgAIUoAAFKEABCuhOgGmOdGfJmihAAQpQgAIUGGGB9IMHkbhqlTyKTVlZ8AgMHOGI2DwFKEABClCAAhSgAAX6LsA0R323YkkKUGD4BZjmaPjN2SIFKEABClCAAkMkEBUfDxw4AO8pUziQMETGrJYCFKAABShAAQpQgAIUoAAFjFOAgwnGed7ZawpQgAIUoMCoFZAPKIza3rFjFKAABShAAQpQgAIUoAAFKECBkRFg1tqRcWerFKAABShAAQpQgAIUoAAFKEABClCAAhSgAAUoQAGDEeCaCQZzqhgoBShAAQpQgAIUoAAFKEABClCAAhSgAAUoQAEKUGBkBDgzYWTc2SoFKEABClCAAhSgAAUoQAEKUIACFKAABShAAQpQwGAEuGaCwZwqBkoBClCAAhQwTIHIn31mmIFriTrjHy9o2cPNFKAABShAAQpQgAIUoAAFKECB0SvAwYTRe27ZMwpQgAIUoIDeCMybNVlvYhlMIClpN/p1eGXlI3l5R0e7fh3Xl8KjbZCmL33W9zJ9HWji50Lfz6Ru4+vr50K3rbI2ClCAAhSgAAUoQAEK6F6Agwm6N2WNFKAABShAAQpQAMeOXcaSJYflEu+/PxNr186CrgcVRssgzWj4uPR1oKmwsBze3h/yczEaTnof+tDXz0UfqmIRClCAAhSgAAUoQAEKjLgA10wY8VPAAChAAQpQgAIUGI0CdXVNHd3avPkcnJzew1tv7Ud2dnHHdr4wPoHz53M7Os3PRQcFX1CAAhSgAAUoQAEKUIACBiDAwQQDOEkMkQIUoAAFKDAiAs2VyLt2EennLyOrtA5StSDqUZCeiCPpBei8ZK5WgG80CGzfnoWgoB2Ii/sQZ8/e0lCCm4xRgJ8LYzzr7DMFKEABClCAAhSgAAUMT4CDCYZ3zhgxBShAAQpQYOgFmguQsuef2H3wOyT+cBj7/7ET+8/eR0NHy62ovncVl+5Vdxlk6CjAFz0IHD5cjjlzvsSMGdtx8GA6GhqaeyjNXcYioPxcCINN/FwYy1lnPylAAQpQgAIUoAAFKGA4AlwzwXDOFSOlAAUoQAEKDJOADPU5GTj7wAWznl2E6W5iVN9KRcKJ/fjS9F/wYpQrxMMUib43Y2KydVAhZmTUY9WqRERGpmDduqlDsq7CoALkwQMSGOznQhhUOHyYn4sB4fMgClCAAhSgAAUoQAEKUGDIBDgzYchoWTEFKEABClDAUAVaUV36ANLxEZg9yQvOju4ImB2HF5d4oOjEDzhb1GioHdPbuIVBBWX+/P/+70NcV0Fvz9TwBsbPxfB6szUKUIACFKAABShAAQpQoGcBDib07MO9FKAABShAASMUEMHMwgJoakJLR+/N4TLjacQFPULy1yeRUy/r2MMXuhX4j/+4Il9XYdOm/+O6CrqlNeja+Lkw6NPH4ClAAQpQgAIUoAAFKDAqBDiYMCpOIztBAQpQgAIU0KWAKRx8/eCQ/yOS0u+hqlkxcGDigElPPYUZ4sv4cs/3uFHVqstGWVcXgX/+8758XQXmz+8CY+Rv+bkw8g8Au08BClCAAhSgAAUoQIERFOBgwgjis2kKUIACFKCAvgqYes7BT+K8UHD0KxzNqusM08ofi9Yuw6SWfGSVdc5b6CzAV7oWEPLnC+sqzJ//N3zwwVFUVj7SdROszwAF+LkwwJPGkClAAQpQgAIUoAAFKGDgAlyA2cBPIMOnAAUoQAEKDI2AGRynrsCrvg9RBSu1JsSOUxH3M3dMunYP1bbuMFfbyzdDJSDkz8/IOIf796uwbduaoWqG9RqYgPJzcfx4Dg4detXAome4FKAABShAAQpQgAIUoIAhCXAwwZDOFmOlAAUoQAEKDKuACOYSV7hqatPcBYHhLhr2yNBYXojCaimsx3rBQ2KmoQw3DVRgy5YgrF0bNdDDedwoFRA+Fy+/PG+U9o7dogAFKEABClCAAhSgAAX0RYCDCfpyJhgHBShAAQpQQO8EWlBz7xJSz17AzbsP0WAqgWfgNETNisQkD1uINcbbisqrR/BZ6iMExb+CNSEcTNDI1M+NyovFgYEe/TySxUezAD8Xo/nssm8UoAAFKEABClCAAhTQPwEOJujfOWFEFKAABShAAT0QaEHl1e+w+9BV1LYpwmmpRdGNFBy8eRVXn1yJ+Nk+XRIg6UHYoyyE99+fibi4cHh5OY+ynrE7gxHg52IwejyWAhSgAAUoQAEKUIACFBioAAcTBirH4yhAAQpQgAKjWaDuFpKOXEMt7BEQHYO5Ez1gJ25EReFtnDv1I3KO78e+5uewdoEvBxR0/DmIjLTGunVTsXbtLDg62um4dlZnqAL8XBjqmWPcFKAABShAAQpQgAIUGD0CHEwYPeeSPaEABShAAQroSKANTUX3cK9ZBPsZy7B6vj8sFDU7OHvCL8AXp784gNSUr3HQ7l+wJsJFS8ojHYVjJNUIF4vffnseli6dDisrLmttJKe9127yc9ErEQtQgAIUoAAFKEABClCAAsMkwMGEYYJmMxSgAAUoQAHDEWhBRVExmjAGocGeHQMJyvjFtv6I+Ukc6nd8iYvff40kp3WI9bNR7jaq57a2d7X29+DBdKxalah1v3LHihXO+OUvZ2Pu3EkcRFCiGPgzPxcGfgIZPgUoQAEKUIACFNCFgKwK5xMPIC6jCCVCfZ6xKH45Cu66qHsgdehbPAPpA48ZcQEOC2LaTwAAIABJREFUJoz4KWAAFKAABShAAX0VMIWFuUhzcNaBiH1+AR7sOoH0/Qlw/vkqRDhysWXNWJq3CoMIW7bEYPbsYM0FuNUoBfi5MMrTzk5TgAIUoAAFKDDKBGRVt/C3A4fxRlGTXvRM3+LRCxQGMSABDiYMiI0HUYACFKAABUazgBg2EjuYoBAFxY8ADyeNnTV1m4nVcQ+x6+sr+H7fKThtXAg/K41FuVFFYMuWILz88jwEBnqobOVLYxfg58LYPwHsPwUoQAEKUIACo0OgHtlXkvGHhAx8KtWHHulbPPpgwhgGI8DBhMHo8VgKUIACFKDAqBQQQzLOD64mucg/ew5ZE5cgyFbTVwYxxkyKxXPR1dh96hw+3yfGc6ufgPWoNBl8p/7wh1CsXj2DgwiDpzToGsaPH6sWPz8Xahx8QwEKUIACFKAABQxXoLEQBw8dwKqsankf3D1n4lC0DT787AQ+HYle6Vs8I2HANnUuoOnKgM4bYYUUoAAFKEABChiWgIlLCKKnZuKLKxfwxUelCIl4Qp7T37nbNwdLeM57Fi9Kv8TelDPY949c+Nk/NqzODlG0wkLKBw60Vx4dPQmOjnZD1BKrNSSBadP8cOBArDzkofpcpKTdMCQSxkoBClCAAhQwSoHs4mJ5vwM9OFt1dHwAGnEx6SusyqoFYIF1kSvwp9hguNek48MR6aC+xTMiCGx0CAS6XRIYgjZYJQUoQAEKUIACBicgQdDynyBO+jkOXS/E1bPXERA1Ec6mmtZQsIHPgp9gk8NRfPH9FdwtbgOgnu/IGC9uWlmZIz4+akjPvDG6DinoMFU+lJ+LjH+8MEy9YDMUoAAFKEABCgxU4Njly1hy+LD88BXOzvjl7NmYO2kSrMzNB1olj9MXAbEn3nt+FV6f4ABNv5yGPUx9i2fYAdigrgU4mKBrUdZHAQpQgAIUGC0CYmdMXfUzeIdn42aBKbysevo6bAmXacvxM5/JuJR2HtdLpXCyEssleHFzaD4QdB0aV9ZKAQpQgAIUoAAFhlqgrqlzUd7D5eU4fPgwIpOS8NqMGVgWFgZHu+Gf0SqrykFCdj7S0n7Etlplsn8xooOewObJwVgc4gHbPsBorkc40ALrwuZghasbnogIgLvGnxaNuJjwESIyhbv7x2Lnpo3Y4GEONBbj5KWL2H0iU2UdAm2xPcbFhF2IyKyU3+D0Vvwr+HOIpPfI66/hV+8dxDah6+JgnHhjNWKsNQaptS7R2EikvzoTMxwGeLm18Q7+8tEX2CL4i/1w4BdrEe/UQ12yMhz8ZBdWFQifJwtsiN2AHVFjOwYxBh2P1p5yhzEL9PCJNGYW9p0CFKAABShAgXYBCzj4hmC2b188RDB3DEDUsgAM7f34fYmFZShAAQpQgAIUoAAFKGA4Ahn19fiX5GQgORnvz5yJuPBweDk7D30HZFU4n3gAcRlFKOnWmhTJWWfk/9zTZ+LQqie1XyjvsR6h4iZ8mqlYO+BsMA48vwzxHj2tttaIyvpW1BWm4dVPTqsMIiiDVMb2I6JvLce+1aGKAQobTA+fjMWZqTiGBmw7eQEbJ8cgsMdxARlqc29hj2IMxT0gGBH9HEgALDE9ao4yuIE9W/rjleVhOPJZBpKl9/Da4YuIWh8FT42xt6IoIxGvyQcSxIgOW4W/qQwk6CSegfWCR41yAQ4mjPITzO5RgAIUoAAFKEABClCAAhSgAAUoQAEKGI7A5nPnIPzbEhSEtVFRmObnN0TBP8bFI3sRJb+LH3D3jMTup6KxSHmRX5gRkJaC/0rNQnLROUR9IsWFX8Qi3LLr1W31eiAJws7ZEViqMgNBmLFw6EwyXsssQkntLazaVYed69dgg5f2AYXWh+fw+olUJLmF4UD0HMQFKFMH1SP7SjL+kJCBT6VSJN/6Ab/OcO+4K1/kFojn7dNwrFoKVGfhTOkcBAozHLQ+6nDhRp5iMMUKL00ehz7MZdBa28B3iGAbsBh7Y8sRmXgPJQVJePGIIxKWT+g2K0RWcRG/TbrXHrMkDH9Z5N+tzMDj4JEU0C7AwQTtNtxDAQpQgAIUoECvAjI01z5AcdljtJpaw8nNFQ6W7emNej3U6Ao0oSrvDnIf1MPU3gcTAtxg00HVhqaCDBy/CkxdGAlvCxOj0zHuDsvQXHUfWbllaDC1h8+E8XCzUfma3lSA9OM3gKnzEOWt/Qe3cRuy9xSgAAUoQIHhETDZunV4GgKwPStL/k9YV2FLTAzC/P11uK6CDHU5p/GmciDBOxYZXe+Ct/RATMxqBNnsa7+4XZuJN5MmdLm4rV4PJCE4sf4ZxHRJ9SNyCED8cl9EjVXUJS3AxgPnMGez6qwBM3iMdQAgpDmqxTvH0hAdHIeLHbMOlPTWCAyNxfuiOiQdvIUSNGHXuev4VaSiLtFYzAlxAlLLAFTgi9tlWO/h1ZH+R1lLx3N9Po7mNLS/tY/AxskjM5TQHoApPCNj8cGN9vRFyZmJ+DjYA28G2HSEC1kZDh0+hV3ylEze2PlstIYBns7ifEUBXQqo/ErRZbWsiwIUoAAFKEABwxeQofFBFi5euYV7BZVoFNvBdfxkzJgxCa7C3UjSSmSdTMC3P+ahXlhzWXiYOWNi9HI8M8unyxLMiv1G+9SIopT92H0qHy1yAzEkAQuwOv4JeMvXomiDtDoPly4BPgsi4A0OJhjPR6UNzUVnsWf3KRS2tP+HZCIJwpOrl2O2t+JHo7Qa9y5dBXxmIcrbeGTYUwpQgAIUoAAF2gXk6yp8+SUira3x9rx5iJ40SQfrKtTh/IXrSJY34Yg35k3Rkk7HFJ6hT+CNtPvyXP7JVy7h/JP+nesJyMpxLOWqoh4rvLVwYbeBhM7zKFwoj8Hvz32CjfJZAxew80aE9jUNxIH4zbIQLesriCDxD8ZL4lvt6xw8KkdhowyB8vRE5ggIDcOGtETskkpx7Fo2cqK9tKQ6Uk1xJMbikEAEdJ140dmB4XklGou4FQuw4SMh/kpsSTiNBR0zQlTTG1lgw6JlWN/D7I7hCZitGJPASP/nYUzW7CsFKEABClDAgARkaLifgs92foXjP15DbmERivJvI/PUQez8LAX3GxpRei4BB9LyUA8rOHp4YKzEDGgpx+2k/diXUoBmA+rtkIdafxc/ni2D66xVePnV1/DzFxbAoywZe77MwEPl+nZDHgQb0E+BOuT8mIEHrk/g2Zd/ic0//wme9CjDiT3fIP0h/yvSz3PGqChAAQpQgAIjIyCsq7AqMRFO772HD44eRWF5+cADUb0bX+yKMA8r7XVZuiLMXZEmSJqHo7l1nWVr7uGwPG+/sHCxL5b497JMs3LWgLyGZlx+WAtZZ21qr3pdu8DSAUF2iqm+0npUNynvcAJETsF4IUDRJ3mqIy3fq2TF+PpktiLFkROen9i5gLFaMMP8RuQUib+tiUS00K58Rkgu6iBDXeEZ/LsivZG79wL8Z6R+xDvMPGxuBAU4M2EE8dk0BShAAQpQQG8Fmu4h+ZszKGyxgFvoTMwI9ICduB4PbqXj9JWzSEiRwft6AeA1D+uenws/W+ErRSvq7qXii89TUXjmLG6GPotpYzry+OhtV4cjMFl1KYqkvoiZPQmewt1SzrOx+kVT7N1xGt+e9cBL8zyHIwy2oY8CshqUFrVhfEwUJnkKU+pdMHv1GJju/RQnvk2H10tzwE+HPp44xkQBClCAAhQYWYHBrqvQWpyHA8qbWtzGIbjHBYcliFnzFjov1Xf2vbWiDGeVb+2c4dVtPQXlTuWzKdxcnOCOMpRAimN3i/Agxgvuyt0dz2ZY5Ofe89oFIkvY24gAYZZDt4ctIib7wj1LSIOkPdWRrDQbXyiOd/cOwxK3ntZW6NbIEG4Q1k+Yj7+E5SIisxLydEe+s4HjZ9oXo5aEYO/KcC2zSYYwLFZt9AKcmWD0HwECUIACFKAABboKtKEp7zquVAP24SvxUtx8TJ80AQFBoZgdtxbPhduj4soF3H7siOkxUYqBBKEOU9j6zULsTDeYtJQgr7Sxa8VG+97EzAKWaEaTIo2NACF2iUBcXCBqk7/FsRyVu7uMVslIO25iBgtLoKmpPQGWXEHsihlxSxFUewZfH7uDeiOlYbcpQAEKUIACFOhdQFhXYfqnnyLuww+RXVzc+wHyElI8rKhArqK0u601VDLy97EOoViXelxd4NbrlUYRrK2s0LEKVFkZijWNBfQjCs1FlWmQ2uOUpzrqNgWiGTm3s3BMXoEVXooM1rOL8zYIXxSL7RLhBq1KbDmYIE81BThi+/IlPaST0izCrRTQhUCv/4nrohHWQQEKUIACFKCAIQlIUVtegWaMQeAUn84v+vIu2GJ8RAicGxvQYO6J8d2mQ1vAdbwPbPAY+UVVWqcsG5KGLmI1cfDBBIdCpCZlIK+qSVGlGGMmLULcDBEyv/wc390op5cusA2tDhN7+E6wQ35qMtLzKjvSg5mMmYSn4sIhzvwGe767iqpuP34NraOMlwIUoAAFKECBoRQQ1lW4XlAwoCasbVQu7g+ohvaDdFXPIEJQP9R6PJ4LdWzfpinVkawMZ65VtO/vS4om9dqH553lBLyxbhE2dEz4FiM6LBavqC7IPDyRsBUKyAU4mMAPAgUoQAEKUIACXQRkaGlqQhtMYWHe/auCSOIAR2GzlR3szLovFCwyNwfzKHYhNfXG/J8shU/Bcew9mq1yp7kN/BY9i5WTZMjJeqhx6niXmvh21AlYwHN+POJ8inF073Fk1StHDUSw8luAtSuD0ZKTizJNeQVGnQU7RAEKUIACFKDAQAW2BAVhhr//QA8fpcfZYHr4ZCyW964Mv07JQq1KTztTHIkRHTodM3pM9aRy4LC+bEVJThZ+6Ji9IUVyzh1kNSq/Mw5rMGyMAvytz88ABShAAQpQgAJdBcSwkdjBBA/wsKIe8OhP3lAZGqurUQ9TeEis0H0oomtbxvNe7BiKVa/6oqTKBBaq3RY74/9v7/6Dor7vPI6/WGCRH66wgPwS+SGCiChBRCMajVprG01MzJhcokkuzTTttTOd67S9md7NJXcz90+uczO9y0177SRz1mpsGo2JTc7GJP5ASVBDIoiIAYHIz8gPBeTHIrs3yw9F3SWggt+FJzMK7Pf7/Xzen8dnmdnd9/fz/qRv/FtFzT2j8ktBinKRwBl6Oj9PQAHvMM3f9KLi6y5JfkP/anxlTV+v70elqqi8VUFRUybg4BkSAggggAACCNyJwH8tWaK16elKjo6+7WbKG5p0UUku9i0YXZMdVzr7bppx7gI14q/AQE299f6kEV/+TSeaIpP1RHCePrjUq7qyEp3sSNOqvqTB0BJHodq6ME7fsHX0N3U1Bsdv2nDZYlFCa6vy+jZknq19G2YbMOYxYKBJQwlw46ChpoNgEEAAAQQQMIKAtyxxCYrwKlfp4eOqSFqjBP8hH3AGpOvJf0p3HWjvRRWdKJPNy6rYKOO9HHcd9Dg+ap6mqAhnf3bZ2hvV0HBZbW0tausevO28TXXlZWqfGqrIiBBNubaceRxjpKt7JGCWJWq6i75NMofN1sIwSbY2NVyoVlu35Dc1XBERUzWaVJ+LxnkIAQQQQAABBDxQYFFAgH6cna31mZmyTp16GyPwVnhoqGapqn/fhCtX1GaXooa85B9Zoze2U9dwUfV2yTJsO3Z1dPYnHfr6cCYThj1/ZJG4Pcs0XcvSQ6Xcr6XeSv21vF2r0i1SR6ley/u6/7LgFC0zzMbLQ0bSVa7f/nlgw2XvBL36zMOKy9t+fUPm1Gj9jHJHQ8D4cTwESCaMhzJ9IIAAAggg4GECXmGpWjzrE71T9om2v3pB6Vn3a/nyuQpz98qht10NFV+q+NMjOlrZJd8ZaZobccP99x4mMFbhdqih6ITy8k+qqKZ9+LJGvsGKn79EOUszlGTFcqxmxDDt9l5S2aeHdfR4sapaJUtMihYsztHS9EhNUY+az3ykt987qeqOwTXuXvINnac1j65Tdsy1LQwNMxwCQQABBBBAAIG7L/BIWJj+LidHy+fOlb/5zm4p8ImO1ybvAr3ifGnR1qjqLruS3Zb5sencx68pxfmBvHz1zLrva9ti550O0ujacV5xVfUXm1TXd7W31ibGqO9em77fx+I/s5IWZOr5vP16vbdT24ur9I/paVJ5ibb3vazy1tr0ZCWNZULjtoZ1RZ8d2D+w4bKfnv/WOm0MDZbJuSFz2Z/089Zm/XzXbiX+8Ck9FuruTdptdcxFCAwrYLg/lWGj5SACCCCAAAIIjI+Al1UZj23WmqRgqaNahQVfqX2Ynu0Nx7Vrx7vKLb8kWdK1/tFsRfKa9kax3kYV7n5N/7PnkAqdiQQvf1mj45WyIFOZmYP/MpQ2a4amW3ylnkuq/Gy/dvz2j9pfdnn4xMONPfGbpwk4WnRm73bt/PALVbX2SOpRa81p5e75g3Ycq1FHxUfa/la+qjskf2uUYmKmq+8p0lSk/9v2Zx2rH9zU29MGTrwIIIAAAgggMBIB534IRzdv1t4f/UhrMzLuOJHQ12dAnL6d5N/f/cAd+25jGbpRsUK0InZIIaMb2jmvHUWNGraaf1eV3j01sOmxQvXEnOljXhrVFJqqpwfG2l/qqFUniyv7ExreyfqHJdFjHoNbW5cH7GovO6yfFTT3HY2KfVD/umjAacos/WBDplY6j/RW6MfvfKaaYcFddsCDCNy2AG/zb5uOCxFAAAEEEJjgAv4zlfP0D5RaXqLiWj9NG6bkjik4XDHBMYpMma/s++9TwjTfCY4z2uF1q+bwHu093SKfyAytXr1U8xPC5e/W1C5ba70qij7RgcPFyn9zr6Y+/6RyIlmhMFp545/vUPe5I3q377mRqbVrFykx2Fc9bbU6m/uxDh95X3siL+ny1Pl6ZMt3lBE+sG+CrUVlR/fqzdwqHTlcqgVPzKdmrvEnmwgRQAABBCaAgOOll+54FHvy87Vp//5vbOffFizQ49nZd7QfgvtOgpSdNU8rS0/okDr1yodHtXn2Oi2ccvN9x1dVV3xc2y/1r46Mis3Ut28oCTS0nW69nndUTyc/rFUhrj5y7NDZvFz9R6u7ttxHe2dHgpSVFq+o0hLV9dao4MtSXSzr7GsyKilVWW5XZNxZr7d9tbO80b4CHXI2YFmkfU8tUsy1aTEpKGmFfpVZ3lfuqO7CQf3ziQT9fvHYJ2VuezxcOKEErj0VJ9SoGAwCCCCAAAII3CUBP1lnZWj58lSFDLcxWkC6Hv/JC3piXTaJBFfy3ZU6cbxeCs7S5q0btDhpuESCswGTzJZopeQ8quc2pMrcU6VPP6/VVVdt85iHC3SosuS8ur0itWT9WmUlRMoaEqqImela8ciDSlGdyr8yKWXNg9cTCc4Rm0OU9MAaLQnzlq2iQjXX9t3wcA7CRwABBBBAYJILOPdDcG6q3PTTn+qXGzeOUSLBiTz4obS1X7z1hLJ+86a2lbVcX1nQVauPP35LT+0p6v9g21m3/5GFQz7YHmxnpX6zPLZ/A+fWIq3+37f0elHtkJXNdrXXntZb+3ZqVe6F/hUBlnT98dGb2xqryTfJMitVW/tu5Lmitz8+OlDiyF9b0+I0ZJ3FWAUwinaHljey6t83rHCR4AnUQme5I4tzQN16/cB+7W3incIokDn1DgRcpQnvoDkuRQABBBBAAAEEELhZwNHaqAabFLggVfGjuvPJpKDULGUElejEV7VqcSQofLikzs0d87vxBRztamzolAJTlXjzPiNBMZoVbdbZqgjNmulic0WfcCUmWpR7vFY1TT1Kib6z2snGxyJCBBBAAAEEJq6Acz+EZ7Ky9J377rs7ZYxGRBWohQ9tUb73bm08UaO61lI9t6NUz7m61pKq3U+sd1OfP0BzVj2pQ4F/0Yv7S3SotVTf2+P856ohKSpmifZuWq1sl6sXXF9zx48GJGrzAqteKWhWXutAAdfgLH0v7e6kEq6W7dOcHQX9G1q7C7Zmv6L/xcWKlJh1qn1hsaI0tLyRt1ZmrtMP3G2wPFDu6L0dJ3RooNzR4ucWX0v03J143A2ExyezAMmEyTz7jB0BBBBAAAEExkXA0dOtLodJPn6+o6/HavKVn49Jjq5u9TgkkUwYlzkbt04cPerusks+ZplvWTPsKz8/k2Qyy8/X1cSbZPbj5fy4zRUdIYAAAgggMAYCL8ycqeeWLFFOauoYtD6CJk0hyv7uC6q+v0z7zpZoz0cF+kN/FaK+i6NiMvWf81OVk5WkqFteqwxtP0DJizfro+Qy7TtXpby8T/TKQDmj/rOC9Yvl2Vo6c442JIWM/jXx0K5u6+dA3bcwTWsLcvVB3/XG23jZ3nRCP9nlLDvlLG+UqV99a9YwZSwHV5ZcL3f0y0OR+u9VccNcc1twXITADQJeDofD+baULwQQQAABBBBAAIGxErh8Utt+/Z6q4h7ST57N0rRR9ONoztfrr+5XzW1cO4puOPVeCTgadOx3r+nDljQ9+fcPK8VvSNJg8FhDpNb88BnlhN+cOLii0r2/067CaW6O36tB0S8CCCCAAAIIDCfQabPpQmOjAsxmzQgLG+5UjiGAAAKGEhg2p2ioSAkGAQQQQAABBBDwVIFpCUqL85Oj6hN9+EWDbCMdR1etPvv4uGocAZq1IHFUSYiRdsF591jAK1jxs8Pk1f2lTpa06PpdPnZ1lH+mkw12+frU64uiulv3zGgv1xclbVJgtGLGs0zAPSajewQQQAABBDxdwN9s7tsLgUSCp88k8SMw+QRYmTD55pwRI4AAAggggMC4Czhkqzmq7dsOqrrHpICYNC2cG6/I6SEKDrbI33vwbnS7bO2X1dZ2SXVV53S6qExfd9rlO2O1nn82R5E335g+7uOgw7EQuFp/TNte/0jVV6cqflGmUqxm2ZrP69Tn5WoJXKAVs2t0+GSPEpet0LK0WE3zvaq2+vMqyD2iU/VXFbb8Gb24KlY8PcZidmgTAQQQQAABBBBAAAEEBgVIJgxK8B0BBBBAAAEEEBhTAbs6a07q/bc/0ummEa5N8ArSjEWr9dCD8xU5hQWlYzo997TxHjUX/kXb9haq9frSBMl3ph7YslkrrV/pnd/v1qkb6g47A/aS74wHtOWpBzTTn+fHPZ1COkcAAQQQQAABBBBAYBIIkEyYBJPMEBFAAAEEEEDAQAK97aovO6cvqypVdaFRLU1fq7lzcJc7b/lbp2t6eIRiYhM1e26y4kP8DBQ8oYydgF1dF8t1+nS56tqlwOlxmjNvtqID+9cb9LZ/pc+P5ulEoXO1iuQfGqfk+VlatiRFYbfu3Dx2YdIyAggggAACCCCAAAIITFoBkgmTduoZOAIIIIAAAggggAACCCCAAAIIIIAAAggggAACIxOgtOrInDgLAQQQQAABBBAYHwHbZdXWNqrjqrcCQiMUEeIv7/HpmV48TqBTjZW1utTrr+nx0bLwRPG4GSRgBBBAAAEEEEAAAQQ8SYBkgifNFrEigAACCCCAgGcLdNXrzGeFKqmoVkuXt4IiEpWWvVDpEQGSetRSeljvvPupqjoGyx6ZZZ2zUhsfXqxYauJ79tx/U/S9l1RxMk/HTpzW+aYu+VhilLwgW0sXp14rdXRLE/YmFb7zhnLbkvXYTx9XegD7JtxixAMIIIAAAggggAACCCBw1wRIJtw1ShpCAAEEEEAAAQSGEeis1MGdb+pIdef1k2oqVVpUpsYtm7Xc/IX27M5TdY9J/tYoWX2u6OuvW9V89oC2t1/Vs1uXKcbsdf1afpo4Ar2NKtz7hvaebtbg/ss9rdUqzq3WmVMpWv34BuXEBk6c8TISBBBAAAEEEEAAAQQQ8EgBkgkeOW0EjQACCCCAAAKeJdChikPvK7e6S76R87UsO0XRU73V0VCiTw4XKnffQZliK1StWC1/ZpNWJFj6Shv1tpfr8J92K7f6Ux06k6anM6yeNWyiHYGAXe1nDuq9082SZbZWrlmqOTEWeXc1q/psvg4eLdWH2ztl27JZD84koTACUE5BAAEEEEAAAQQQQACBMRIgmTBGsDSLAAIIIIAAAghcE+i+oFOnGqXgLG3euk5Jg+VokmYrKcKs3+8sVP4Vu4Lv+65yBhIJzmu9g2bpgXWLVPJari5UXlR3hlV+1xrlh4kh0Kma8mrZvMKVvXGjViQ4S145v6wKi45XUkKu/vRGro7s2KepL25SltV34DjfEEAAAQQQQAABBBBAAIHxFaCw6vh60xsCCCCAAAIITEIBR2ujGmxSYHKq4gcTCX0OJgUkZui+sF51dvorLjHylmSBT0S8EgOl7qoaNdknId5EH7K9RTVVV6TARKXGDiYSBgfto6CEFfqbzVkK7inV+zsPqqKTJ8GgDt8RQAABBBBAAAEEEEBgfAVIJoyvN70hgAACCCCAwCQUcPR0q8thko+fr2558WUKUkjf3eZTZJnq4q5zk6/8fG65ahIqTvAh+5hldjnNJgUkrdYTq+Pl0/Spdu0pUPPg/twTnIThIYAAAggggAACCCCAgLEEXL5lMVaIRIMAAggggAACCHi2gCnQomAvuzouNqtjtEPpalVzh11ewRYF8spttHrGP9/kL0uwj3S5VrVt7rIEfopc+rA2zgtRT9lftfNAuYZs4238MRIhAggggAACCCCAAAIITAgB3pJOiGlkEAgggAACCCBgaAFLrJIifGQrPaajFVduCtWi9Cd/oZde+qFWRZtvOmbTxaICnbN5KzQ2Qmy/exPPhPh1muKSpsvLUaljR86p3V0+wStEczds1MoZvmrK362dB87psrtzJ4QLg0AAAQQQQAABBBBAAAGjCXi//PLLLxstKOJBAAEEEEAAAQQmlICXv6b51KvgbJW+KixUWXOPpoRHKzzA280wr+pKw3mdOf6B3j1Yrk7fmVq6drHig3zcnM/DnitgUqB1ilqKS1RVWaJT5U2yTQlTbHjgrSWxvKcpLjVGjqpiFRUXqvB8kzqh6Vj9AAAC20lEQVTbL6mtN0yp989VhK+X5zIQOQIIIIAAAggggAACCBhegJUJhp8iAkQAAQQQQAABzxfw1rSM9dqyJkUWtaumsFBV7cNspGuvV/6uXXont0ytsmre+oe0JNLP8xkYgWuBoFRteHaD5lmkjppCHSusl831mZJ/vB7c+qweWRCqnppK1XY63J3J4wgggAACCCCAAAIIIIDAXRXwcjgcvAO5q6Q0hgACCCCAAAIIuBOwy9ZcqTPFDfKbt0ipIe5WGrSq6K03lN8bp/nZS7QwIVju1jC464nHPVDA1qzK0lJd8EnRslSrhl9n0K3msi+Ul1+s+u6ZWvn0aiX5DX+FB4oQMgIIIIAAAggggAACCBhIgGSCgSaDUBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQMKIAZY6MOCvEhAACCCCAAAIIIIAAAggggAACCCCAAAIIIICAgQRIJhhoMggFAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEjCpBMMOKsEBMCCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAgYSIJlgoMkgFAQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEjChAMsGIs0JMCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggYSIBkgoEmg1AQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEDCiAMkEI84KMSGAAAIIIIAAAggggAACCCCAAAIIIIAAAgggYCABkgkGmgxCQQABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEDAiAIkE4w4K8SEAAIIIIAAAggggAACCCCAAAIIIIAAAggggICBBEgmGGgyCAUBBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAASMKkEww4qwQEwIIIIAAAggggAACCCCAAAIIIIAAAggggAACBhIgmWCgySAUBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQSMKPD/rq12jKErmNEAAAAASUVORK5CYII="}}},{"metadata":{"trusted":true,"_uuid":"d3922abbe33a541a94b2c77f9ee32c435bfd46f0"},"cell_type":"code","source":"# Build U-Net model\ninputs = Input((IMG_HEIGHT, IMG_WIDTH, IMG_CHANNELS))\ns = Lambda(lambda x: x / 255) (inputs)\n\nc1 = Conv2D(16, (3, 3), activation='elu', kernel_initializer='he_normal', padding='same') (s)\nc1 = Dropout(0.1) (c1)\nc1 = Conv2D(16, (3, 3), activation='elu', kernel_initializer='he_normal', padding='same') (c1)\np1 = MaxPooling2D((2, 2)) (c1)\n\nc2 = Conv2D(32, (3, 3), activation='elu', kernel_initializer='he_normal', padding='same') (p1)\nc2 = Dropout(0.1) (c2)\nc2 = Conv2D(32, (3, 3), activation='elu', kernel_initializer='he_normal', padding='same') (c2)\np2 = MaxPooling2D((2, 2)) (c2)\n\nc3 = Conv2D(64, (3, 3), activation='elu', kernel_initializer='he_normal', padding='same') (p2)\nc3 = Dropout(0.2) (c3)\nc3 = Conv2D(64, (3, 3), activation='elu', kernel_initializer='he_normal', padding='same') (c3)\np3 = MaxPooling2D((2, 2)) (c3)\n\nc4 = Conv2D(128, (3, 3), activation='elu', kernel_initializer='he_normal', padding='same') (p3)\nc4 = Dropout(0.2) (c4)\nc4 = Conv2D(128, (3, 3), activation='elu', kernel_initializer='he_normal', padding='same') (c4)\np4 = MaxPooling2D(pool_size=(2, 2)) (c4)\n\nc5 = Conv2D(256, (3, 3), activation='elu', kernel_initializer='he_normal', padding='same') (p4)\nc5 = Dropout(0.3) (c5)\nc5 = Conv2D(256, (3, 3), activation='elu', kernel_initializer='he_normal', padding='same') (c5)\n\nu6 = Conv2DTranspose(128, (2, 2), strides=(2, 2), padding='same') (c5)\nu6 = concatenate([u6, c4])\nc6 = Conv2D(128, (3, 3), activation='elu', kernel_initializer='he_normal', padding='same') (u6)\nc6 = Dropout(0.2) (c6)\nc6 = Conv2D(128, (3, 3), activation='elu', kernel_initializer='he_normal', padding='same') (c6)\n\nu7 = Conv2DTranspose(64, (2, 2), strides=(2, 2), padding='same') (c6)\nu7 = concatenate([u7, c3])\nc7 = Conv2D(64, (3, 3), activation='elu', kernel_initializer='he_normal', padding='same') (u7)\nc7 = Dropout(0.2) (c7)\nc7 = Conv2D(64, (3, 3), activation='elu', kernel_initializer='he_normal', padding='same') (c7)\n\nu8 = Conv2DTranspose(32, (2, 2), strides=(2, 2), padding='same') (c7)\nu8 = concatenate([u8, c2])\nc8 = Conv2D(32, (3, 3), activation='elu', kernel_initializer='he_normal', padding='same') (u8)\nc8 = Dropout(0.1) (c8)\nc8 = Conv2D(32, (3, 3), activation='elu', kernel_initializer='he_normal', padding='same') (c8)\n\nu9 = Conv2DTranspose(16, (2, 2), strides=(2, 2), padding='same') (c8)\nu9 = concatenate([u9, c1], axis=3)\nc9 = Conv2D(16, (3, 3), activation='elu', kernel_initializer='he_normal', padding='same') (u9)\nc9 = Dropout(0.1) (c9)\nc9 = Conv2D(16, (3, 3), activation='elu', kernel_initializer='he_normal', padding='same') (c9)\n\noutputs = Conv2D(1, (1, 1), activation='sigmoid') (c9)\n\nmodel = Model(inputs=[inputs], outputs=[outputs])\nmodel.compile(optimizer='adam', loss='binary_crossentropy', metrics=['accuracy'])\nmodel.summary()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"1892482eca2205f41d727409556db333ba3c330f"},"cell_type":"code","source":"# Fit model\nearlystopper = EarlyStopping(patience=5, verbose=1)\ncheckpointer = ModelCheckpoint('model-dsbow012519-2.h5', verbose=1, save_best_only=True)\nresults = model.fit(X_train, Y_train, validation_split=0.1, batch_size=16, epochs=50, \n                    callbacks=[earlystopper, checkpointer])","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"8aa7d7fa9e52abe00606128ad2e04420b5d77e0c"},"cell_type":"code","source":"plt.figure(figsize=(8, 8))\nplt.title(\"Learning curve\")\nplt.plot(results.history[\"loss\"], label=\"loss\")\nplt.plot(results.history[\"val_loss\"], label=\"val_loss\")\nplt.plot( np.argmin(results.history[\"val_loss\"]), np.min(results.history[\"val_loss\"]), marker=\"x\", color=\"r\", label=\"best model\")\nplt.xlabel(\"Epochs\")\nplt.ylabel(\"log_loss\")\nplt.legend()","execution_count":null,"outputs":[]},{"metadata":{"_uuid":"c7e575fe277b199f63b3037fd3dbbbdd02d3a9aa"},"cell_type":"markdown","source":"## Prediction\nNow we can load the best model we saved and look at some predictions."},{"metadata":{"trusted":true,"_uuid":"56fcb2f283fd761c5a80850058dfa0ba0ae66d57"},"cell_type":"code","source":"# Load best model\nmodel.load_weights('model-dsbow012519-2.h5')","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"65f5c04ab4a58d1737b71f36a97a18f077c822c9"},"cell_type":"code","source":"# Predict on train, val and test\npreds_train = model.predict(X_train[:int(X_train.shape[0]*0.9)], verbose=1)\npreds_val = model.predict(X_train[int(X_train.shape[0]*0.9):], verbose=1)\npreds_test = model.predict(X_test, verbose=1)\n\n# Threshold predictions\npreds_train_t = (preds_train > 0.5).astype(np.uint8)\npreds_val_t = (preds_val > 0.5).astype(np.uint8)\npreds_test_t = (preds_test > 0.5).astype(np.uint8)\n\n# Create list of upsampled test masks\npreds_test_upsampled = []\nfor i in range(len(preds_test)):\n    preds_test_upsampled.append(resize(np.squeeze(preds_test[i]), \n                                       (sizes_test[i][0], sizes_test[i][1]), \n                                       mode='constant', preserve_range=True))","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"4fc5a34730aed394a619c3c3ce862014345a674b"},"cell_type":"code","source":"# Perform a sanity check on some random training samples\nix = random.randint(0, len(preds_train_t))\nimshow(X_train[ix])\nplt.show()\nimshow(np.squeeze(Y_train[ix]))\nplt.show()\nimshow(np.squeeze(preds_train_t[ix]))\nplt.show()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"1160a69df9dac2038aac4db6fee519e2f5e98e26"},"cell_type":"code","source":"# Perform a sanity check on some random validation samples\nix = random.randint(0, len(preds_val_t))\nimshow(X_train[int(X_train.shape[0]*0.9):][ix])\nplt.show()\nimshow(np.squeeze(Y_train[int(Y_train.shape[0]*0.9):][ix]))\nplt.show()\nimshow(np.squeeze(preds_val_t[ix]))\nplt.show()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"cb091acf1ca5183d73b52bfb67f74723302e7931"},"cell_type":"code","source":"# And test data\nix = random.randint(0, len(test_ids))\nim = cv2.cvtColor(X_test[ix],cv2.COLOR_BGR2GRAY)\nimshow(im,cmap='gray')\nplt.show()\nimshow(np.squeeze(preds_test_t[ix]))\nplt.show()","execution_count":null,"outputs":[]},{"metadata":{"_uuid":"f090ba939fc919af81371cf425207349dcf6ef75"},"cell_type":"markdown","source":"## Image data from research"},{"metadata":{"trusted":true,"_uuid":"3c0bd4b9ad539b50a78e2e044938a2a27f87e16a"},"cell_type":"code","source":"# retinal image\nimg = imread('../input/retinal-cells1/MAX_PVRetinaStackSmall.png')[:,:,:IMG_CHANNELS]\nplt.imshow(img)\nplt.show()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"e76d23f89bab83f1120a1a85c567d52fd1cc2947"},"cell_type":"code","source":"# resize\nimg = resize(img, (IMG_HEIGHT,IMG_WIDTH), mode='constant', preserve_range=True)\nformat(img.shape)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"0491932bac1672728f53ad4f2fd8b30901cff0bf"},"cell_type":"code","source":"img_ = np.zeros((1, IMG_HEIGHT, IMG_WIDTH, IMG_CHANNELS), dtype=np.uint8)\nimg_[0] = img\nformat(img_.shape)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"6b69fdc7c685f8499d63f75f6866543484e2102d"},"cell_type":"code","source":"# predict\npreds_img = model.predict(img_, verbose=1)\npreds_img_t = (preds_img > 0.5).astype(np.uint8)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"da992583bd982ace0e814fa6ca92e9d19d84c073"},"cell_type":"code","source":"imshow(np.squeeze(img_[0]))\nplt.show()\nimshow(np.squeeze(preds_img_t[0]))\nplt.show()","execution_count":null,"outputs":[]},{"metadata":{"_uuid":"b252622339a6445cc3bbd9ccabc721751c1fe23a"},"cell_type":"markdown","source":"Obviously, it works very well. "},{"metadata":{"trusted":true,"_uuid":"a53e0566939370ed16d22c3e4422eed2e0b27c72"},"cell_type":"code","source":"","execution_count":null,"outputs":[]}],"metadata":{"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"name":"python","version":"3.6.6","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"}},"nbformat":4,"nbformat_minor":1}