], callbacks=[], layer_groups=[Sequential(\n",
" (0): Conv2d(3, 64, kernel_size=(7, 7), stride=(2, 2), padding=(3, 3), bias=False)\n",
" (1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" (2): ReLU(inplace)\n",
" (3): MaxPool2d(kernel_size=3, stride=2, padding=1, dilation=1, ceil_mode=False)\n",
" (4): Conv2d(64, 64, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
" (5): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" (6): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
" (7): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" (8): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
" (9): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" (10): ReLU(inplace)\n",
" (11): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
" (12): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" (13): Conv2d(256, 64, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
" (14): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" (15): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
" (16): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" (17): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
" (18): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" (19): ReLU(inplace)\n",
" (20): Conv2d(256, 64, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
" (21): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" (22): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
" (23): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" (24): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
" (25): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" (26): ReLU(inplace)\n",
" (27): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
" (28): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" (29): Conv2d(128, 128, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)\n",
" (30): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" (31): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
" (32): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" (33): ReLU(inplace)\n",
" (34): Conv2d(256, 512, kernel_size=(1, 1), stride=(2, 2), bias=False)\n",
" (35): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" (36): Conv2d(512, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
" (37): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" (38): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
" (39): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" (40): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
" (41): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" (42): ReLU(inplace)\n",
" (43): Conv2d(512, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
" (44): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" (45): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
" (46): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" (47): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
" (48): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" (49): ReLU(inplace)\n",
" (50): Conv2d(512, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
" (51): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" (52): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
" (53): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" (54): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
" (55): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" (56): ReLU(inplace)\n",
"), Sequential(\n",
" (0): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
" (1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" (2): Conv2d(256, 256, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)\n",
" (3): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" (4): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
" (5): BatchNorm2d(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" (6): ReLU(inplace)\n",
" (7): Conv2d(512, 1024, kernel_size=(1, 1), stride=(2, 2), bias=False)\n",
" (8): BatchNorm2d(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" (9): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
" (10): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" (11): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
" (12): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" (13): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
" (14): BatchNorm2d(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" (15): ReLU(inplace)\n",
" (16): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
" (17): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" (18): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
" (19): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" (20): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
" (21): BatchNorm2d(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" (22): ReLU(inplace)\n",
" (23): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
" (24): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" (25): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
" (26): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" (27): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
" (28): BatchNorm2d(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" (29): ReLU(inplace)\n",
" (30): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
" (31): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" (32): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
" (33): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" (34): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
" (35): BatchNorm2d(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" (36): ReLU(inplace)\n",
" (37): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
" (38): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" (39): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
" (40): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" (41): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
" (42): BatchNorm2d(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" (43): ReLU(inplace)\n",
" (44): Conv2d(1024, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
" (45): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" (46): Conv2d(512, 512, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)\n",
" (47): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" (48): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
" (49): BatchNorm2d(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" (50): ReLU(inplace)\n",
" (51): Conv2d(1024, 2048, kernel_size=(1, 1), stride=(2, 2), bias=False)\n",
" (52): BatchNorm2d(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" (53): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
" (54): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" (55): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
" (56): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" (57): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
" (58): BatchNorm2d(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" (59): ReLU(inplace)\n",
" (60): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
" (61): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" (62): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
" (63): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" (64): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
" (65): BatchNorm2d(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" (66): ReLU(inplace)\n",
"), Sequential(\n",
" (0): AdaptiveAvgPool2d(output_size=1)\n",
" (1): AdaptiveMaxPool2d(output_size=1)\n",
" (2): Lambda()\n",
" (3): BatchNorm1d(4096, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" (4): Dropout(p=0.25)\n",
" (5): Linear(in_features=4096, out_features=512, bias=True)\n",
" (6): ReLU(inplace)\n",
" (7): BatchNorm1d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
" (8): Dropout(p=0.5)\n",
" (9): Linear(in_features=512, out_features=17, bias=True)\n",
")])"
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"learn.load('stage-2-256-rn50')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Test"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Download test dataset"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Use Kaggle API to download the test dataset:"
]
},
{
"cell_type": "code",
"execution_count": 63,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Downloading test-jpg.tar.7z to /home/cedric/.fastai/data/planet\n",
" 99%|████████████████████████████████████████▋| 598M/603M [00:04<00:00, 131MB/s]\n",
"100%|█████████████████████████████████████████| 603M/603M [00:04<00:00, 142MB/s]\n",
"Downloading test-jpg-additional.tar.7z to /home/cedric/.fastai/data/planet\n",
" 98%|████████████████████████████████████████ | 297M/304M [00:02<00:00, 110MB/s]\n",
"100%|█████████████████████████████████████████| 304M/304M [00:02<00:00, 115MB/s]\n"
]
}
],
"source": [
"! kaggle competitions download -c planet-understanding-the-amazon-from-space -f test-jpg.tar.7z -p {path}\n",
"! kaggle competitions download -c planet-understanding-the-amazon-from-space -f test-jpg-additional.tar.7z -p {path}"
]
},
{
"cell_type": "code",
"execution_count": 64,
"metadata": {},
"outputs": [],
"source": [
"! 7za -bd -y -so x {path}/test-jpg.tar.7z | tar xf - -C {path}"
]
},
{
"cell_type": "code",
"execution_count": 65,
"metadata": {},
"outputs": [],
"source": [
"! 7za -bd -y -so x {path}/test-jpg-additional.tar.7z | tar xf - -C {path}"
]
},
{
"cell_type": "code",
"execution_count": 68,
"metadata": {},
"outputs": [],
"source": [
"! mv {path}/test-jpg-additional/* {path}/test-jpg"
]
},
{
"cell_type": "code",
"execution_count": 72,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"61191\r\n"
]
}
],
"source": [
"! ls {path}/test-jpg | wc -l"
]
},
{
"cell_type": "code",
"execution_count": 73,
"metadata": {},
"outputs": [],
"source": [
"! rm -rf {path}/test-jpg-additional"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Add test data to ImageItemList and ImageDataBunch"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"fastai.data_block.LabelLists"
]
},
"execution_count": 17,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"type(src)"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [],
"source": [
"learn.data =(src.add_test_folder('test-jpg')\n",
" .transform(tfms, size=256)\n",
" .databunch(bs=8).normalize(imagenet_stats))"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(32384, 8095, 61191)"
]
},
"execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Sanity check\n",
"len(learn.data.train_ds), len(learn.data.valid_ds), len(learn.data.test_ds)"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(4048, 1012, 7649)"
]
},
"execution_count": 20,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Sanity check\n",
"len(learn.data.train_dl), len(learn.data.valid_dl), len(learn.data.test_dl)"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"LabelList\n",
"y: MultiCategoryList (61191 items)\n",
"[MultiCategory haze;primary, MultiCategory haze;primary, MultiCategory haze;primary, MultiCategory haze;primary, MultiCategory haze;primary]...\n",
"Path: /home/cedric/.fastai/data/planet\n",
"x: ImageItemList (61191 items)\n",
"[Image (3, 256, 256), Image (3, 256, 256), Image (3, 256, 256), Image (3, 256, 256), Image (3, 256, 256)]...\n",
"Path: /home/cedric/.fastai/data/planet"
]
},
"execution_count": 21,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Sanity check\n",
"learn.data.test_ds"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Kaggle Submission"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Applies fastai Test-Time-Augmentation ([TTA](https://docs.fast.ai/tta.html)) to predict on test set:"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"Total time: 48:48 "
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"preds = learn.TTA(ds_type=DatasetType.Test) # TTA brings test time functionality to the Learner class."
]
},
{
"cell_type": "code",
"execution_count": 94,
"metadata": {},
"outputs": [],
"source": [
"torch.save(preds, path/'preds-tta-256-rn50.pt')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Get final predictions:"
]
},
{
"cell_type": "code",
"execution_count": 34,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"torch.Size([61191, 17])"
]
},
"execution_count": 34,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"final_preds = preds[0] # note, preds[1] is y, which is the ground truth/target\n",
"final_preds.shape"
]
},
{
"cell_type": "code",
"execution_count": 47,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"17"
]
},
"execution_count": 47,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Sanity check\n",
"len(final_preds[1])"
]
},
{
"cell_type": "code",
"execution_count": 43,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"tensor(0.8172)"
]
},
"execution_count": 43,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Sanity check\n",
"final_preds[0][0]"
]
},
{
"cell_type": "code",
"execution_count": 84,
"metadata": {},
"outputs": [],
"source": [
"# PS: I have taken these parts of code from Arunoda's notebook.\n",
"\n",
"def find_tags(pred, thresh, show_probs):\n",
" classes = ''\n",
" for idx, val in enumerate(pred):\n",
" if val > thresh:\n",
" if show_probs == True:\n",
" classes = f'{classes} {learn.data.classes[idx]} ({val})'\n",
" else:\n",
" classes = f'{classes} {learn.data.classes[idx]}'\n",
" return classes.strip()\n",
"\n",
"def predict(f_preds, idx, thresh):\n",
" pred_vals = f_preds[idx]\n",
" tags = find_tags(pred_vals, thresh, True)\n",
" print(tags)\n",
" img = learn.data.test_ds[idx][0]\n",
" return img"
]
},
{
"cell_type": "code",
"execution_count": 85,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"agriculture (0.8172218799591064) haze (0.4136252701282501) partly_cloudy (0.37629154324531555) primary (0.9813070297241211)\n"
]
},
{
"data": {
"image/jpeg": 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\n",
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oyyBdCzg/sX6vFj2fFYHXHRZ5jWMUGxpNnSf+0GJawgQQHVX0jq5XCtApJEHzdqg6ex2CUfNyfZ4MPJG4WSptzkIbMW9Qb3RuV+OWyUlrJx2xKuLsizKyRRSoG9Ozl1iFbAg8zZyblUcovU3RtGgF4EzQauo7MNXDBtCVaf3zIrBIluQnGMwdxwmsWbUWT9pE7uTleWnJtICSTS9MWe7S20Sf97aevzRZ59jr5yn0GsHf6mjnX8R/k1D+aVtjVS+YrnqXj8lCkD5KgIVUolnRSNtydrBWRUiyCjSqDniu1+aWLD+rQUo8UktvuLRJJCIR9ygf0wKkzGoiGyuYlEpQnlFa+gC1eaJgBodlv1Vwlaw8M0zpQXbZ64vkLAVudLY3PpugDu0kkcQifE0kZA1g/FLerIs95JNqKu7oRTgKTsKRYLBTqcMELB6EOR6b2ghLw4HjpAFWwJX5ZiWBDV1z5jYrkBhIRAZTgmMCbjZ3zbYBa8lnzgWZgU69IvlZMVutnzMdWcE+l3VAwOqUq71BgLjV6UtmV6s2Pb8GK6Fpy/Ad5ajqgWHofuBi4LnnF4JDAmbMZzSL1//fVqvuTRAYs/+t8dvI9zXpBXtA+fAW4g+ZSAyXEsDDDxwlFzLTEzbGiI+O3YMsgVUA1nt80eMj7UyZC2bI9tpTt22rfjza+uSiZVpR1SBihcFPEV9oo0oj3WnnoZsYaBr0PX+srIawShl2Es4Mii5vDBMDj7VW3zi9zBMZmPgCCYDD8AnNbzv0f/uR1OrjB9ZDdW9mMaC8vwopHJm1BYbZb9ysX/iVjjBloIeJmhYHYy83eAllDqyj24YML6sCApiEH38J/99eYkHD8jdRWjLgFbA0/lZZnEpi19j5K8la7cVQfYa9Hv4CIgMueINE7q8upjTmwrfVZwxpb6twR4eaI+xgNK54JSbnzUX0v1AowWCZBn7qTWrNE5XFWjTcgICe646ERv8m14jfMPLnKzEguYW29OS4oRFUrk6kXgEXWQcyaACwWnU9Yw+B8+tQWQJdBUgZu+QXBi0Bs4kwAujATqXYlJ6qOKafKjPdwTOtepXyJv65TqXbcqL9h5AeWFrRpjpwK5CJk9Nk1QIyj264+L0BCL1zHJzzoX9p7fdKExWBfKASgAo1oBqH6zSgDZELBp4Efuxn2NPQfmpa4oGXO3TsNcZSCRylyVSVaDGt2rsQ/6zwo25q1qs37fyQCZJLcqFxnxaBajNgQOADGfye/ip8elAWm0B9RjgLdLkjmVJ9/qJslfdx6jEnwluPVsT9ryBOa7qokb5+XopnvV4GQ3+BnPRCKtlGG2Q24q2I2xf10zBlXq0QtxVaAT897gF6P8VhNkrb3hXINUvWERRAEoXH1aPNv4t/Np+8CLB+r3kbPxO7XchnKu/+8RaSfBJhD3VqRbubcVhRlZn4bdH779sdOBTVBP69P3Arr+ocpjiS5GHxjrIIniTQxUFbwh4D8EGcG8DByR+cvKBijowbmQ8x+AFwQVGkwL8FN2c0G1DBLWnK85TAGiqi+lAyzAE/Cb8fLuBBoHaLeTp+FWriORXQ1MK/RT0qz3J7c2jZL/SHDxAeY/ZH4rFouwhWeVwxgcAjYV138R8ZVZJVwXyYHwIswShvRFQ6Kqs+GScPzB4kPlUE9WGA9gcVwEzH8R/8n9fB/fxGJPBE4I7S2G5GBgZ+qx+Cjfne+/fT8Pup+oIqVgmYRxeMZQL356CDSBbN8y1CcdO6NPasKEOflRuw+Kz8eM1ZgqINT/X7rLiOO1NpVSeQnyx1fARGq4rHrDSkYXxCVNr4YX37Yco5YB1Y817hskpVQepZPRVkknc9DSou4m44B1XTguK56zp4nkqDpxsuN4LEb2Q8SGMdD5+ZOFAlphDAUOv2IHGTOI6ntnOXUGtEtZiTGQBmtIOoYk5kpWKSfq94NCOa8A8n6YSixs9Of3xnMkeXI4uZ0q6OuqfSVVnmUFB4a+FWJImY2P7PUhHeTx2kXiL20nJ3IR3N/PpQUXSl6iBhbxxOyAYpAuyb2kw3FOgiwx4w6xFVvGRgvQFENRJ/sP5fPr38zNOuUtkBwW8qA/HMBFEFWZ5Z0X4KST5BJydVaM84kCZKQ57z/+F28WfFRWq4SUHlKseM+vGud4Kf35M+ZO2C+YH2zm+fFqjYSHQZNWM9Bha70HwWmXV9r3FHsqBF6SKZ/kiCUzcYu5Ufra/r//HQQTq3bfY2l5oHyeev2Nf7d/2uQ1zZafKy0Zzl9Od1VcHY7HsJguJkyUSv+nvtsW9CdHqs6ySsAQIoZjEzOO2+Qv+VvwzQ9BZdJ/CRjIwDQHaQxV8EMkXlkXQCWKSbLCOicHQdQ4vvxEXrHsucW1ORCdQZDHv9uv8PVkxM9iPIDAc4XS7SfzfLOFCb5dasbNMY2UE+OIHJUFV1nPdX7P7rlbh137KxoIhB1U3qOulLANysU/wtW0Frk7P2eHBbWWUSVtVtmJeQwliCAcXNWdadUwcgKMosfhhKlbxfTpM3S7urYr26+hieauVUY4qhcWYllWFXKaIXlRptXyCi4HU1PMn+uS8WAJCfFIJrZbr4wmTCc/1O721ZsgPArx1TEDQYZnzZAx/31edePedyp2obNgArp+rOGfz8GWulxrOsyhwUSwMus9MP78Gp60aP09s0SmrEBcolcnKqbQiQNN1caYj+QySiVv87j+te5aNmOE3xG4aEh6O2pRITm5A0n16aY1ktWM+i5lvud/tMvWlFk5SA04Eypkue1G4ved+7shHIO5FO89VFVlv0UVyFDGPcYtoCNO06hv1G57gCnj0CJRRpkr50GNBtYwgKp+Sn9v0bAD+ozS71fZXcih/KguT+BzP8vtioIh/kwzE7YFGW5G+v9HJvbIxhqQI8Z1D2sDCrXKMq2c5KEWrpjFkLoCwlJO7MXiPvNAWpk2Bal6k25k0lwJHWPjVelxq6Z5iNOLVMrLXwo7SgtabdaT6zt2v41vB0PbVRCQo9a32yY2dogK7UszM4+up+xX8rrqwRS/iHLgJlS+A6zs0KL3NEjRwYGm4LwaakFiPcElaj418CzhXvUrpkqbGNYBk4ERKs3YKkZYDKA8NagUVSy/Ln477ul6/cacLGpdv0X8BwsuavaTaZUmCw4upcYDcBmePpNKPI/84ov2oQrEqPhVAZFAyTbtjASVld5M/Xk4wrdZiJr+1ZgLYlA4AjrOIjSJnHQ2OhojIqaeB23AJnT6MACvzIA20HZ7sCCEeeigYaULX+IBsv1uqUFf8iyp04BjgLhMJowUQBycCXQOgg6Sfj9yrF5bdaAQAwt4rbQOFnuRYl3N5js/EctVg2og+Ix2zWxKpfX32L9gJjEbqPKmmXmqeumc+qZwEzSVkxGC7Z4o/6ttqdmbRuflpr1bypEJsWuZ5v7MY1U7u8onfYOKdUEcxfA2+xFziC1gI1p1FzOQFBaY/yN8bwkVlmsIkyLzZXh5wEWGgjw5DBrGSJsy98SmBi12IJb+6Lpf1fbt/Qhs9DhyUqFf5ODKl2wJwmZG6BFytoLECwU6V5NefQXFW6WqWcS7RLfQ/D08bp7bqQjydB+uFPQfO5kFGe278CXNkG1GwyLe8H+Dzacmw4TmsLVdmoHLS4cPREze8fpnlv+st5rMLdp1j2130qSHYt+konkFrHSk90Qs5qi3GioujSusVHDJiaRsABdULd3mu73EBZbTWHMqdlFXTQq11CXYM/X2LiQjoobib3oQKgErQFSosz+zbJIiyAbqaVgFMxFSsy3qXnIHuvxOGcp1anQKPinHIFZwmdsRUj8l2SUE20fQiZ8Wc0Rjc1hMGOd8cYFYNYGwzEYwr+W3cBwmqTsGdOfIAjzaZQLZjqfiwrsdRpBs1Ma6j7kQO6fvqPBayHBVRa8f7blvKh0KsKUHPJZLmvbqnU5i7aSHQK3v4wPiDdps08rRnaTJ06tVX21FNIPlHbbeQKANpsnEia1tB9jU3aFNdgNEh5/wmfFlI6dyO0ppcwkj4my4GjquChBm6VxeDAVZYaNmludbyR5SPqOJ83RuOyOjD1A+VBLrM5o2kkzWB9PQt7NI1MKNo/UqmJJSaiIwXXKnDowE1jEk4Nq4PY432vlRezMxa2LN8I0lr8RxDpz2QZeFRHJsiR0HtBDdPItxSxOjqh4yxw4EpOtl8FReiuJGu8WgPzMtnMfOrsUqRJLYXov1V+o56u+T11xEvrLa1KM+2Y2JOEt4AjkHZRkN+elrD2wmTRdoBXYvosH+EbBBLUvwKXLhiqcVmOyV0vtXjWcqaU+JL+RUygtB243ZVjLqTmd/LDbxdlnYs9Y3wwDkn99kFp7wcPDv6j16UjMFZVjWYBxwUzbmgh0qoJTDoAbg8GG03KvBQAfIDWVElgMYBbZ4FPeG34IX64s81bVADRrwv5RGUR4mGaMXBOzfXfs0JmZCh1DUoAz5mcjmk1qMkboFJiIqrxZjJbxRCS3k67KhA7r9nfwRVWpyYxNQkj3DN7RpiBvpKo1oq298cqKyd5ovB3dYEyMkSCx8QPwxPR8B/Aw5bzllRmlZ6V537d8XsxJUWQyGs+hIyl/TMTnyeQeOB+AZbd+hva140KyiR+4caDBzc8HVdesDiVV86bql3PHSLKcLjh8Phde9fPL7j9AiIRd+CxwPXLgEjepnKgEQE8NxAf5K9fUAvmY4ZzqrAn7urVb7+qN0HF8soEPpfgK5mjx7oHBUmq3UrQ5NIo6ANUWfDxq1Ncz10Rg+K5Mn0tHMlNGILOBBhcTFz5btihAI+Y0HDIhIEItVgzeB6U+fFB+tVulT2cVype8mlHvZ4fwBU4D2A3EGciCg/Z64dMGbDazGOy+JT7YGl5JtIe7nzjX6th4dD4+HzwQZ3HAGNXZq8S5I8D9mEQdNviicoAJXDltltGOzsB6IaIV0VNxV5cJztA/kaGaOWA9inoUarUXGugQk5D4t/7Q+vZFlCWtjEwZxRP9VUwAy7SM546p8FPxcb0DBZVHWnPy/GwA1GdZ3DBGVCumQfd1KfqNTKqboB7YI5KJsXLpnhP1URcBnsRd/Kq1oxa2u4FY23W/sA7ykg+R3fYM6uefbDuTGI0PQwOizO3XOu7ETcdiGcaN4UVwHgmm4uQsUmvtjpyFqGtEy2MZSOrRguvMR672Ia5mOY3t3tGp3b0rATtM7wIwxmIJkcZkyyLoN5vi0vhMN7vS1dkV6KNEfFaqwTSozWGkCQ1RGpLhUNeWM8FM2C2ki46Ghfg1fZqWVFpUKEH2pAUn7SVd+b+jtoK7I5jB2aO//n5n3QNsvkuu6qx+GQmvbT3PGCRTDZk9hinqtW+icc7FZBrUxcwibRSCNZauh4nCwEUyuHhsaYnS2b4AVyBbq5NogJ9Blw07XtZbIYr1ajPmDMjT9cdVWVblbyVtlZ/DgDv2oyayjo3Iaor8PTaHwtAIzqX80SZhMpIFUgoU/B5IWQvlc3CUT/0xAArc8S8ioa+hX8DkiX3rZewVaqHZwy44xHArZqDBgAY7HG6CsDs6iNzcHFF+csPrqsAoPy5xBPA3am0hAIutZLBMl+HwnRiDBlhTge/ZIOCIrPUAGOfhUW5Jehvt2Zo+aIWKTuxh/3X5OYnFv0XXogWUDehr9olffE9jOEPVMl3ckOZqgDBTInyf8G0zzEUnc+F4wf/73/mVClQBq03KokXVA2zJpJSTKYM2p+DA7qTEizWUg9Vg1YjoNQsRZWM9PNTpc5VRSkrLDtBpiY30+ciR1CNKV2neS7h1LwM+KH298UCulbX75x2AzuB6qFs1ilC0dWsclebt8y6GOspe6FiMGY+Wz6F+zYjcb+QCCC4J5MazenU3SxFyS10zZLVO26vTkKDN7zawWrhViWXk8GSvmdQ0NzUhadaNtXC7BirNLN0mrY2My1oxWSOCRgdeJn/Vj6SCk8eVcZtf99qlnWIhARvBBBAAwCIwLmQuC0BAPYl/O/KyAXKizkWtbhhCz0kYQlLAAAgAElEQVR73V/BpR2709+tscRaB9xYkoxiUNFtf7seqhXkj1yyAQC6IS7+mFOErFvBBYzFAQ4y+QEQ9jVGa+CgOcKB2wKvJMD+iVDtlvX6LGVDi8NZOqtiJS5eW2nRe2H2F3h9Vupyn07VZfKQ+N2AH3QOJ6QwvSwDKbsFxjtNN2ngxPfGvFJQVMxPVIfgBm/xY43EaEo8AmyO+ZKJkSLiF6d1C6zCm5f20Zq8jn5qK6IKd4L+i74ikUtF+veSUUXtBhenGXwYvYtyjSkeCx5jxkUAI55UfTrqCltQaEF4lMCllf9UQFf+dDyB358btTGHzUn9sKYcdd+V5Naiv2iR65fri6O1Rm+IprbupCzF4pGhsv5pN2J9S5uvlk8rb6XHGHOVirXa09vfW3fuAfB7roAhlqAAZQkYyDMOpPfW2ScfRFRForsNMDLjIlo5KtPyHsSihgGIm8+Z69pVs+o1MBZR8cOqyRp255dCgq57Kaa76nF6N5+hLGCUxp0W4yNHsaB3/v0Lp6zB2FzSr27Dn1OZqc/Ksog+Zm/ntVp9mLWygGVnnvZuwqHeGmPG3f7CrrOWxj1CNqGo5RoApKawEeyl5b7psdN2VkAyXCUkVgBkkLfNawGTOyyChUN1sXqum2VtvjADzhkXB0+1WQboTwWe4M48C8YxKj5Qay3ts6V7xq94Slsf+fpKzydfej2/7vK+++tbCXTziR1AXY9Q9F3XNGvE0FHSkBjmmjmUXW5rHH1aF5JAThcoAfWlR1ZRjKN2l9ahojxiLGqjWVhWAQCvq1ThmLkJRe6/uLSBr8Y383qjrfzdmleiMxSL9ZRO/La02p5kjMPWuhQA1BNvBHTQzYi4c3g8mYnAV+ny09p4tyrbANBr3CA8acKk+5EPAQAxn8la2TTQyjFd28YTn3tNBW1D9xpAIp7pa2+mIops08RzdNYINRmyVHhpA5rpyB1k+bI6bExAvX9YmaMtktVcZIJ0j8au01qomcUcYTTBFmpm5rIyDoxtyiKn1DfNSiMpwi2V4WtPgwcsxtSyxQJqIOKoQpi67d5Uo/lro6wWLd5fWMv5jR963/vJQY3cgpijLV5aCxVFTqxtqPiq+6/PqrmLdMloRvmlKTNCbjrRpXtEqisS5/boPlQMVWOgikJpJoJacobfiEYtVgNfCgKAAqoVY0k8MYVZyvqJNwyojUVQGvkLTHtl34G0YJUkTNetdemaGgp9GqsZRdODrsxUcNHQ5QhNWq5LuIB5Ne55sgxVzD4LwDrW8zLFxB8YYD0dDTZcQI7yaKIPGEQIQQwd2FlEuVsLznXSzFXoo627gIX28G8N95fXsgKeNGJJcfH8WesdYtpswqkS7t5pEJpMxrGr4aIIlvQRqxMyMw9X5R8eJE9irYHpYBNr0g4TaPTaHu0JggDBgiBaFsBfoJ+0K5P1z9+92FP1wq0HB4Is6G+TwURayVAaulQ6DeM/crm9H/934d8aqRGK1mKysYmrWSr/3XntYilvgYCBbbhH84X9LIFMcPvpooR6Gm6qYMb2EgTeIqti4gDVbhuyZL6pC1q0Q5tdzVTjFw8p+LmVm3jyYWWgcfudARFMMZ5uOfCtnZE8rp7ArB4bcgXeQs5xqRqpAzzT36FjT+lwWiVXndo7mkub136yTg5t4U9FAaQySHgKnnk1yEBWI8RjqH73v9Wgc4Q60dkjXF2GjFEMWYG3DxIpoXHwANCcjUd4YHkhceDsKV8tnB7cUa2PPX/RignAHNdlqL3wwMcSP7UBu9wCSkY+I3fXz4M7jbUL2vL64Meru215v1WNFzDc3LV4UDuzY2n93rCkIA6q7TMsuCGmink8ZUQl8kwJS91EwMNYSvzQjI3RvBRQM1a/Z9TmHOFXA7lDB8/kXStzAPhJpBfo/XJHPIYTtQvNHbVNOIATiY+VEj6esItuXlZzEUtD4DeY8sHlpyoDLctffQznVMAwMnB/KkDm7kh7cMeN64cNV4RYAs6QKlHZC9AZwzTkUwHfc4lvgbZj/MGHvJ7q60gaFwvQrUnH+WRnSWQBFiMn+dhh+cDwFODnqQM5q1NO9ea3Sn3WBjie3GcOO9xtmMwCpFXGICuwh0yc+AXgA8sbFgbLqxSgBTIfPM/nrT8ExGA61T7FV1nzAabmIsHTgbkvQldCklrCmF935t9M3tD/COb7+leAqSMxgKVpxM+M9Mq6GD02ppoWYYIoQrjRpNa/FyL+xaqBlS9qQIZzJ1btYECnC6VRdMhE3ff0HSS8f2oeuQK5nphryA1yvM/L/V86SLnxVBS8rQFRkcUvuau9Md/l22H9MYG39eV0j1qJGzqyD+PhoFkCoXUoEi0z3agEUp9znpaAXSWAmXjiU/doS6qi4gab7ADQmZYEgOemYfG2GasJR1kQTTvyglK41rTWinCONJ83+ZNz6zUii3elq+iW21rQQrGWAMs6bXdZaSe0JVMrtKtdNwtk80j9uIN/7IcQFUdp2RSLvFixJqLD5wxDi8TM/1LteqXWcuVea2J9PnsPrqsgILGV0L5SVCIic+oGloByoMsbfr0bwVcDyeLal9nfdCqknDp965WUkRAHEyCkOwGogMirRXmtGAOOGmPS5FrAr0i5DYhZj3ly9u1vSXNtunz9T67iom/B1TxjntJHYQ8DZh1g1mCcQpXh0GH9RUDxjLfaVKuwJO3r7x0yyWuz0dTdJfJk7/6D1qqnU0x7nR/ccSPiwzVn7xrLCjo8FSOKds+mowIMyPsm01pbkaJPAtWXQCavsXDXos8v0CYaKa0XMOfwVHUZHtAAQUSdkutLA0LvYNuCF8vuKg0bNwEsZcvXAyqG1gd68hnloiZ5kPGpCDyB6u4URr6f2pOe1QwMgpv9nZk/ASCTXWFt3QTTDBP2vCabfEhvxtA1jBS/wY5CtXPHwe8uTajfbgEfTT6HP270Gu0jBh3hV3RVjFruCokRw5yR6K7F7Yc1cwB/NkLdyCyA2xJuLyJ3AmtI9H6I6JZf4IbRsH3qT99xa8Jh6tcYei1L4AYes4Wn7SUe91bJPD6Lc7b0Steh6PoqyiMSqoOyETiNjWWVm+ugVAMloYWpy3jq811c00rFXubRWpwhpop6Wg2JyD6HjLQy0OXiZ1M3JNJmR/pA0bH4prguJu/xVBNT1KaioWYXi4SkHrB4aALGr/suJdc8FOoZWJV+dRIU+SwLxN7VkLy6WdfXM9ZYSLFLX+xFn7WjX2VzT4UZmVu1RUjrxyzBTvREH1RKZn+nN439ly+KfpvBmzoiuOBOGsIaoQHtl39m8Uv88STPTkP2XBp0chDYYT1Pdb9VtNsBlkEBb/tncgLCSdEEeM3kdY1AM1tQq2lFBw33fGugCO6nfwn+Cnw6Jf7vzwRHbos+hI19FgJv7QRSz8TDuElbQFbnzOlMwqwADO6bNRRA1bHbT9El7spdrxSaoiCyTYDyk7fS7IXldmace6YMrHtkHw/HEqCifYPx2xTOVmgiZa746xZLFeOA2aQvZTSSh7ZIJR0UNLkQArteUVkYZGVZuVJWD1PTzfIvQJzh79V+y9e3sjIeDda/X8U9YHmH7cHL5Fh+7p8KECVWVRjh2fVwTb5ihtEafxuc2L1bZq1EqTBZud0msMbOSWRmpenk1PJvF1AQNEZJZd8DKCbhuZ0diRVr6vSctz7dBcGi26bvnzMdn2+sBwDMlcv016fvsmnAOkjaOkSlexpHB3ik5V4Pb0as+Wrc/ZsqkHF1vuHuyKQAsQDLBJJpTH7SkE/g33io+Q6tQetxR0fS59RkYGyWsUI1faWBl17lgZd1uWk/D9SqFU/yPRljgwnQmnvTtNfBNBabtesFoiRoe7Xol6c2zi3LKy0Ras+t+3NtjzmeruWwbphqevMofSezf9TI11Ly/zVWfO92JY8M9XCBG0nSrNERObXNV57tVgyNOOB88iU30r7C0zq/HWP+KE2in3PfNvvfLqLoIY+QC2eq1PiZCXUZJgskwGgqQzmqMbdcC3ty5suBa/9bR36BP02VzttqJGLaVHweLUB7fb7XTD70AsLpjLtTjDETb81hDda7hE70yH3j/b2lKcISJ6sUGgae2Mxnm0zgKrn2QrjRTLAyUVG2hkoxLYKn+eYchNFzupdgWDeMmlNrVtLqdSjNXnkge0vzPhFg0FGnTdfZjVWRUesZa6XAaPusV1ORjHl6w9kosT7yHgU09mo7VWW/z1PP0rZu9T8QL2tedqqOQVZf1V0ZszZrvntsnGlhYSwGsvltSoG+U4DAKGHAcPmZrrAvpOOEu8DGZiijOZKa8V3Kspk9Ilh6ub2RiTpvfYOvexQIRDN8Mza/VJHtXSsmbVl/q9V2AC4TdDXwtrUYFm0VSD4q1eLLeUBv2BBPyCNXsbSE3+YOmHzCnyCQWDfZRkxiCmLGZl3wN6HHTa1efA0SMoA12v098Pe5rpqtzGJ0Q9bEvYQ8OT6l3h5IAZSG1W60pN366/LaUJWJfKrMurCmtqPCymrJSKTLvlTVQAAPOw3ZWnt3VsDVaooU7Spojgb2Jegczwp6knqfZXW1hkZnYZ6c4rfyOqbx6VDyIQiQ5jnZJTe6RZlUUEujsyaiYWtSDWg/YAFj/XJVbjVw7dcUORuyj8rZILBD6lcJ//SSaU1iBguHOcsdoVSeV+96B9wN//wCMqx29UWZ1cHxSdDcKk+cAD4p37ty0E88a+IGnSH3wwjq7Vcxi3KjqOBQAPgdgf/jroYTdQhwYJqy1YOvY6iDBsaESlQNuqH2ToNNO4/x8qgdgB97YHFwcs7hGzCi4Jh1n8JiEJUGVZDLesOHNMVTXWSi6Nvy+WAECZOz/xeVm79Q5qLMaFlIFb3/l6hRDT3tBKPQP4j7N3Qqb5nqiSrw4kEvxgM62b+/tuoCkQ/+83nwy38h7gef+669E+eCuSPuRDw37OcfdiV88DtLwA8r5W4YVB9vbU6NstGxXffDQ0WsDimPp8Z58FO1IF3jcCjoxTNmB7+DrdDcyH9VkuxezUafuGHm+HGrLcgopfR5dM4BTfWuISgwuu/KAOEwCKq1oYaQcq5KygPtmSnoWoFzsyoEimgeOmaA13kT/1pVQzsMmYn7rhhL1ZQ48rmr5uIBy39B/oiWl9dr7Z3IBO6sGFEp4R2rK2V5dW5Z9fpapwTgRQQdVDnHHaCLF6pQJVSQB0VCnS27nWmNlcHpijgQAVv/SFAWMsq/rD75MjZL23jVmk6ZrmWbqDK7jM9pJbV88i+jCd05xQZvVWe2cThscFbWUYNOa/8cO61VVN1Yz+yUUJuHX3hu2qhK7bcQv//t7cZLk6RRe7NPUnJuBL8+2xBtCL9oMvU2NlPS9/Z7UBh1vXLiLShZFshfqhlrvfWceb7ci74lB9AxGllonQV46Q/szVkqeOqKQ+7cq3bxMSm6xZtAld/qZOIGhTW+ReZZy8Uf2xbLUBYryTdsmxZ8dtAl8gr4orMo27KzZh/rZy2abvLm++PDWIytJQrePw24egumgFm+cwegvIthZI6eTp3UZ5HLd6TfVxF0+uedSC1PLFHWw7FWDUuYxjwpDDIgrA+EEPKqAWZerK02MnULGVOVgR0XWeWgom1zOD+jYJjyyKmh94lCor9+N+73MGWnpDpzt/z55S+lxvS1mnIjBDS18UPXDYuNDztMUUcYJNJKZdRyTWQiMnqTzMUtvC+eSg7SBJgrRZtsFGpZQhh3WyN16hPdlgx0SWMz5S7qcsAdHs/UFnBeDYbkfQn/ZFSUZanTqOVewuwF8JnZLdbXKgNebeUvA3B2DKHG6oGqeEywRZd+9R7f9+vPj8eVquGJeY1Jq6wKTEd1L55VpeivKBAD2KYHdXD+v8ujFQjvOJv4jSUl1ZOxhcLWg62EyYI1fMkSX3jlvqNMuAhAB328M/m6cU2wlL4Xsro0/yC39JykU9NySW9MoCQB1Am8tmZV9wgK3kkWrkjImpTZY7PElMImFvNQ+KQCsrccIBaaGumfe/lV/IGVBnyxBrWkiopuLsjSQq3LDesA9Oz05Av/kwzeKEJtk4Ay+61Vm1aKB0hDTXxhh4tqG/VXIikTE0+ol7ra9lICJdyoFlRw6+223ViWLYIMTx8uwgdwvOQGKpskD7QFwBmpq7Spf13/y2FQbQbnLvrWVnD0XqJaJsUYwKBd1voMoZtH82vCxZNfIPD1cwfHM5sOQUDAobxtxWqz3vPwbe6IE76hhyM27mEBLRr8eYvry5ioOUnIQIHv4garyqtG0VqgYmmZ9dmIfHQzvBnEe0I2ZtT2XbDytqia8k1MM3T5sdW+XfafI1O5VVyiQWihaWYTuYnH1UshprS36ez2oZDo5WA+PHV3fYG1A6S2LWBRWe8umMp1Y9uLwRQZXduysJaQ7IVWjfcLfiPa3EvdP1HaPic0mFF0c95Guy4BARHfr3qQ/Zm0fomsxuW9t8H8Q0xXWixa48FQlYCefcTcVq9DLeuf5sXRLT1TG0ZQG20opOoIJPf0FYz24tqwNe/cTwduzlead4dfOZu+TENvc/t1qxm7+mvWR2WiGp/SszXuckjx0Oi5b3F/c9LXb5fv3azcCidxNSMuDaStjnWm30S/eaI1Ao5Ueg9o88t5I3UdlcXTBURAz6SEPF/PHftm61RriqrJxEAYALoG8WQtKC2NtGj06xNb1mZ3WRN9G2rX1n9WQpw3TSibgIt6Elov2Sa8MUU4Vg6szO6OMjM1tTMEzn+aBNRMNZZVOZaJrhLpNe5ZQGxeX91Nz7Gi5HWfKjSqNe3CDGMEH9UjMaS1OZHeG0EtbnnYk/CZlCc7yh4zHgq6LZQpuewjxLb09KT0jxGLrc92mC7M0xC91HZogwDkL2hFBQi7uKcTaxKwGB4QFj2YqlXVUej9S+SWZG6PaiyZ1B0GQGhNBccjKwKQBQAgzyjAjuEAcsH/OwvAgN7gJqFnphaC7EtI5KlB1G0PT/W4E7jjgSHq5BaA2n8IbED3KG/TXpSWYMmBIxGFyur/PiRYQvmyBYYRp/ItgGOIT+LxaklycGBWR0bd+eDyOvuq+7ppdVZOskeWwyS+HiGTHj5aKQhkbXhScosWRQeH4dnBnFfANQCrzIE61OiQNu012ArPjCmltmV1r02zdpx6Pt1UM0eLIa3BSHGeAUOxBgoM9KgtuL0G3G0XhowD51geKPMDZCy+MNI4wCYs6vi01BsnIxMZYbVDLhLuyslnB/ieBRzqz2e7c9VSPGYCImvFmMB02ekaBwrKsCsUGzLQiuqFmfvoja0fyq3eAC3LFL0uyQUP+eJZgfcg3yn0XsV1GpdiVYtJvl+J7gm5PkLm8NfV508VWRqR65giw4fHQjsCJ3rjJYDgpUzJAH0stZg4ATLFmNd175z91abT/YTsb1dg9t1P9lL8mEj45WPug7X9yGpFng8uu+o3auqY6Dz+VqQjplPrCBBjHG3Sa3eYiOhGPz2ZHaAgHZSGfHYd6vDAvBfFTEBDJbZkYvRvIlewSFphApkKOs2tj9KSX4yqSs3RpeXqTZykYEQnH1b7s/e464zALLcruZ0aWTEiK/2cWUa3uhuXwD2Ip0DgXIefDzi38q9zwmrN3foA6M5OmMlGx75kfPFs4BNnOtCW6jwXHQNqCwDL/17r9ArGgqDdQrnWU++nAgitrZv5SGWNheD8ZPF9oOJlTfYU39U9ik7/NQAk6sxH2PCXAwwS1+uqQkDmsGPqukNlnh/gx64+JSx+B44bLrtwLsMvXHieB/E8+NBKuPw0MuWvalx4PwkLYwAQyHxwZyDxUxsSuOspnwTglSW4Dv7z+ReOC24HngeRN37HjQPHj/1UdPupPLYdx40PnjvxCYPhB/Hc3ebLHDjHl0kbDYkW1agyLQE/cJw6w+Dnf0J73PM+gwSH/fpDerSCaSyHKHBq8w6Tr82nTUtF0h0VkKo4Bk0/Uzn1U+cXBvDBgzDD5Rd+HGVB/OY4zAH7hxZCwKJq8D89RzHmaHizOlvxwY3nrjF6Ne9CgHny6xciAvdzM2BYQO95wcPwLx4+0/Hx7M1BCOAOpnCRUB98DccM8B/gvu+11VXCbfix6j+QvwL//sv8uAPnWIOEXwnL4tObe+s9H/qshsCpjjoJWikKjlYNfw2zujp5BD64YWa48qp+kHnjV16tsHR82ggY+RoGbf8tAAl2ks7Oek0weKSxMlUP7j5ekq5MA1eB0N0LuDtKMZ17P3DTDsua7KuJ7c92VqzHo7b1l84BlPmhWrD6uvg92+Is0uZLE8oc2bnQ9oxv9SzrLSE8UPFCNcPScRP1OwWtKi0U8LRG75WybUsCvz/Iz2cOTzBXLwbh7eb/caH1c+9IcgJgVWw5UfKyX4z+W3fLhWX1iqOfsEKAL+bomngRpe36bXWBzFqfd9DuZdr/+RI/7d+/zhv4y0vgbq+r3u8n2qAFl4dq/S/AAFUY3HmoZVRIXVq6drABnePreZYZVoe+JmAXtp0jTZUIBssMezhAdk/CMsHm85mKTcq22g1jwoDgqlR2qzoU5yuT0XUSqUDcZFJ6VdqKGIu402n77/LBX6/kfeKvvwDADIr92e9BAfeiH+sMZA1qjK+40ITU5//67pVsJfxwUmE6yaq+XAfp0K4ioZ8A0lQSOUK7pxB0pkuLDQEbcXt8QRqVxtNZgSDhvQtJdNgGC4/4Hb8fbpUM9mobQnUQUrfEmFF7sMY8nBpgFprSrbF/as7G/dfK+5nDn0T4aump9eb9TzNegcywi+xxLYQ1Dbdgv6DF1uecg0zb0MRgUh5YEoP56cuNWry3RPCPtRSNjEGQWqMKjvwKcD+At22pasoFd29XS12Mg0e7oRyQXKZq8eKshbPydARLpC0h0KC/97SUBznCUDxrTS91sSrTfgKtiks8OT0xX2sBa43/ItQfDIbvq18f5aL++7uKnbUT9lo9JpkB+4oLLBRlQhhtVbyRFABwaeIK52k3l7rfuOvkHxkg3F6ZYu11GOOeKgcU14WwQOBu4XEEKwnrtF+kTjFnJFQEZshS1sngak3gyaijlU4xnnmBRQuAvfF4r8/Cmfquar4tawvqydpZF95PjhZTYxZgNmhsy0T/PVtB6Hl6Lwk0sAIRjNIquwAu/Pu1FGEvrW+/lBMVneY+9acrCzs9203WkQueuJNiru7AK/1j4xViYqYTdchMCXh9J7mosdFxKEEyyAIora40Va0r5Vx8HOiiNMVYa0xac+sGmn3GouBStOpUYbaFOiOiCU3LYC0rFO8yzh89371CWuCWzLU4bwtwuFNwbv2+T3R+reOMssZhvXFPgcu28qrQYD1fzxiYv/bvUswIHrTDm30t12qTxdvF4EyAGQWaVA99or3ws602yzcTMU3dVBgQ5DnpIsPQbAVGWBt/XF2A2DGVvfjs4GXyv9Zhk8bEaUGfscy/GzxvDVXnXuDBclJI1L4BYFJJr2fyv1Wz01Fp/db2YoACoSEvKyBThm32KLby6fHY/GdkvATwOsyCgj4B0AEA075/gWrnrMV0RgCf+g49u/hBaiIhys1WWR/6EWCsBXZNwOqUYdV+PFDnKm6w6cyIiAR2zk3YD+e8y5QjESqsT+/0n7fWZADwpaFFrG8A2xHlL6KDjETe7s/WvdzXrV6CWvdWXiN7BeWIiO8miLoVsSDjLwmL1/MuBS+6QstGuCrKLVZIIi1ozhIoBoJHqyVr0KKaeyKiCnZQ0p1eqZ3IRDzT8tsPeOpwLWqXIEOBsdEUucaCLC3oSf+QFzoAu3zzxZiYJEj8kLl5HjuytAeeMnHzRxmMN1ar19q7Br8VVL9c0fMNOMudGkrWzKLNlq0h0Ipjzz2AdplG0Wx0Ga05wj+AgfVuDREz09p0MqbnSoUpnLTWvYY93+smqCyqEsgr6WkG2MOWKiwckQKa8mo+T8HjDphpnBM0A5Il7KROqnvOtzDU9zNqz0o12UjADtJ4dl7HYGYfyV6O1xBeQaW9dvu1wGPdcG73fWOBtPXfIcmGfn0++23A79QUdgzBeIXGErgqlYPuGV9jGb/ifiZ4smbcrL9TTnuabwabNJ5+UvBFLXjrsFDr1lyB2qV2+eJ86IRZpwZMZNKBsRKGdKa3zOCnjpr5Fvo1TXKatQQIdORXX72RoMYoozlMTSmutXyS8g27TJWlFkl+Gp9CC2YUwTb2rHXnHvsGgacns6rVeq427l8CvYVVF+9ipddrnmTxZj05EYf99t0ZRCbgjHtQgdNjF9ISiuBoTt7HjbOFSq69ajaMmqFCoPqrmJkUurGl3dv0IQRkAPhZVFVANpfrJ7qMlaOjszxZ0ZgT/uvFbuHc3L7Wrz/ypf23P8jvxbdVIWivZ962+eHP1xPJzNUXgHOMwzvfCFb/X+qXZ7Y1QxmDMt7m69mapO7KvcY9fuur5WvlMYCHISh4VVJWh2JaoziIpBWFuPn3J2dm3kBCZo/SGMHtwbCDYJruuMGvg8BvqIxZjyCvgvm4nl+KiW1wtlABr7Vbjb5xqTHjX1wlEJVnv8YGs6n51vcAxVe2qL+XDRr3SywFChKwudxAFyupfXPBeSaAa2RHmjznBraXW88if1WGhic2kw9kDZR1EvC8KlVnALvco7v8ZHIj0p5LjluUMnhJt8zG662UWoQMgNqwq6qx81ri7+zAnU7SkQ+t+T36Hur03qb9AvbNIe8F0gCV9pUJtvi8vy+LZ9uMijOpJ4IqZGZtO4ybwAuaFnv1CU1fCmWPIWG4nBGWZF4xo8Z6wWBu+NwP/McLsdOQcVdemJDj+GHQprQxHi0qH/v7KbOsnLbS8khqAEPcUCRrShWjiOZuwLlgSBzuNc8IHhZiVV/u9b2y2mtn2vELx6+KRH9kYrJ3nhkmkJX4SWsXJ5rIzj/GrsCT0w+WQlug3Bp7WORyWMorO0Fm+QCoXIzmVgMu0xkIRRv1ThCDlxlY538ZWJMAACAASURBVMu36W/ViPInwZZR2gRVt93ble0pCyQoQJKFKUp88DwFmBfbfn0CyMdwnQM34BN1Bv11OQ4ccVuttd8oLzKB+OCJgMWF66pD4++nagSsDn/AcxdPnKtom3cAdtESmSKq8Xgd/8ZNq6ySXxcS/9ipjS5PAnm/Y1W0hMwN/vODK+lnm7FcRBZcmcaP/cLxH+42fZh6log8CFgDgpkyZCSjOQ4uVpiCPJtIz7a2KjCXPACCMmEGO6rvuxD4QMdbd90AEokHznMm/tTg9mKlVmpAu0/vfI702DtqeSnwJqbfNgCQlea7Ab9kPjFFZlUe1zvj1oP2g+N5Vl2t3A3vgqCIu01HdVtpnGrNVZ/sEBUbUtWi6ftOtKSL8GTiMfWhnSDVpC2nNnsqg1U5VtaGosCvNN1ayFZI/ZrNItLTqjjMN5FmVYBmIO2Oaqwwa2baMagVevmT/hxUQrsJh3J6lOavOotvPaFot9I95hXcrfXLUuLHALpbwRN+rOdSv8s11h5nYFnADPwpBrXmEaizGWGjAR/bZzOie1W0C0Rhccz3SvnUmE8U7+qcg9/dLk732bb0ssI2AV8En6Cc9fsmAlL5tG9XK6k0cTdHavxUf+BWnT/4bo/s+aLZXkt8vf/b66rcK2vYoT42K3sQVUgRz8OpHJjVSfIpMw7A5uQyvKBv1zBeBCCZrKwMpWEyH9TBnQUUZyXyq325CFwjrLPfWOPt1TEnzTr4GDna8CztWCBjkGhI4Itgm5EouKn2V7MYJqleZP4KCRYw2bzf//8BAA0luRW15Agt0ZBAvVmi+TPxYtb3/grDd7GQbJ6K51gDcKe5ZL1m+cJudb5f9wjkOjrUW5j3ilqzPefe8OlDLXVaPmJkokUQCx/o9MTioTTHw9iFNwHJE4r3YE6Hfo7RvQ3E/azdkPVAWxaaXKBvwTcNa8HtfGPUSSLxrXW7F8BrsQgVWRbYOJub8/ZROvXpTtI2r+i3X+huiwd6IjOq/vlKmv8JFrkA9DtqgS6/kPZpLaQJBhL5aFPGDGcHSxzAua7K5nVxe3Z+uCXk0U49ABZIs+kZEIoxfFUbqBmkndYAlYtWhRm48KcvSSSetC52qmNB0RbEGz1jyJy7Sl7tROW37zzOXmyWmpq35myNvTS8/e3cBWA0MO+408r59azNEsBiBhjrLLNJP8zLdYzB5vhqUFoC+kzgLcGsDZ96rN2q6rBDCipAlrYH08/GULDSbYa2MnbgauhNgXaDWmqrlPdizCib45WiVQs0KjASLlK8zvEoNoQdBXi/esy2P6u5fQfBX+j7mrr9cfddc7u/+l9pfJ3ELQWdsLZqBVJJoHoD2t9e9YTLw5FePl4gaFoZnJreL8OTXuesZxaM5/hGbgenmUx+dN1cpQzIZCS4BuR8hhnwtO8GqFEC7aMic0jjt+5FuR5lheB8qsz4YQzCsnxxryImKgYEqoJRUXNpEPX1n5IXLcewatOLPKDxr3D+H4TVa2Lf+7P5/9ifl012YgpZlU6e4kEBAAs7vjmGK3K3CzXi18eqL5p3myoYfWZG98/UdiRKI0fU2p7HqgiL5841/XtCDvjk7RqgBFte9fkCw4zJ9UvhXHZwWOcBM5r8i+FZ/95/WL9RMRrH8VJswZ4RoZSpxtMdqXbs6i+g9aVRF9viW4B9rbbW/ptTZvW+oUcdrev9FHCNWtE6JIB/gApmUrsIIPQ6+K9ficTVtWGpdFkJ/7Gr0m14EI8BRNICTgY5qFakUQUCmmAi8TwBuEyzyoubGY4f+DHE8zBga60e1UdOEdo28UREA7WNQwd9du054xNO5+MQPJ6YgIyZdd75Fa9onaPlibWPnePfC2nfy/pGb1kmNGxeX0ptUvmL4I6pUBmB7I/IhdupljmxlG2u2zyMtJu+1yNm0UvXsxutgTHtd1S/3TQkmY8n7PLZL/vMqiyo03ZVX/XWpA5aEm/LbsdnAODHfVLULLuuTNJ05wWyGqAAvflHp+/+ipukUNPWEni3siq0N4GznAXMZKqRAEAlNhTcEakZ87b+gOwAZbGbjYWjZ3b3Zt17irLqNW7U5rRtS4lfxnXMjrF4l0/u1/x83Vknx6bzRFcNyhLpUV1J0xHUuG4UaEbha4h/+j4SlrIWmbprM1hMNEJvKVPSAUb1ZRU0IaR5UblkNa9I2jvGGIAYVlVrvc862BGGJYu3jwH/JZ8vKwD8+fTTvyFpQA8LzyW4O1Cqu/aGFi1aC+/QMmHtC+8RFVCnpqTExreS6tmoM68iFE/frQbSxmkWMtUzCPZ0Ua3Lsbn5xxPpVl2d3dssdQS09fflV22sVDbGk5kU7lAro+AlTD+o58jrKACozWgRCfOnc/qGpMVIyytKx9Y68AbMSFVwcIKWpfyXgPY1U2qz13gsRazPBwx6qkmV5tThDOru2O9EAAb6HG87dMKEtYrXazzvAexw29wxv75Yr+uTH5g5TiotoVhmn79TJEhvLlNzisCBSYObiEj04uivq3Z79Vl3mbWFOx8gKkbaZabrvwRauEu+JfgszGB5ah2UyBTfkbnGjTuRMMXBc4TEcoTr1yhQqPhHRBrs/ep+1IVSNFmzR8wrKMbJHgkSYsncy3589qV4EcHAlmNoxal0mRNNo7XX68rWpGUmM9jZY23cVbp8gKpdtaKFBKTIkCy4qog6PLnxJ7qCqsBswalu9gJBWYo2C0KQK1nm52kVdOz0rfX6VCjJeAwHOnVXLdRKokX/BBg4pOBbtNtrjHabln7r1hxNvHX0e2rfcf8/p26SrMUDytM/rQmsBdcERqRPoPhAa1bxKzSY9ysFHLme/d+/rn9+Xdx77bjjxr/3v7gja8+5/eBm/ud0awj61QhceY8GDVbgETEDiX8zcdj336lFJNBPVj32P+fggeFzkbkdsAx8IvE7A/+IcEJ/1GI/7DQTwZKlpGD5bIpAAD/H6ffFAi/gnMRlhgcH1+X4MUM8N37/DjzPU4h9yuKpGvED5OniESDZAKV2LT7qRy+mRjEYD17qLqxGGjqh6XNAfxXIrF42ZobLWYbNXY5oQWYQSKcc8QHTAyd7DcxQDUkoZGZ1EFIFi2oeNxLRbdqzfG2cyqTEB3b+AfyDiA8+mUhccL+494JWwP0g0/BznYrS3x/YE7jsQCGcjEr9pmlHKAAc/I+fn/LNI7r9mBt7Srjj+f2/cXBqmzcVCJD4dQ7cDv4Xm7866Rae5R78fvBk4N/7rmo+1oGwOLSh+vJTrg8SOOVCIKsmA9q8RNQ8Ms/JkA+f607+EhjIbTPr7fT3ggm5FkjUGYwtpdr4hkETL4C15OkDrJ+pg2wC9silpdVOi2/6NAqmbMa3oOr6ZVXIkWT0X/iFQ1AKf2CPgiTrMtGl5tqIaSwby6FwF0Ip3UNF0tf+Nqb+CG86G+AyxzHH5/O7CaH4e/1bjO/az2/GBjIcBz/Dq0QS6F59bYVWz4E5n4DpqTR2ML762oS2huq7HE3lzAbBYYsub5Nsm446GPP1y34W5Jq/8gyvbQR1k47FzA28NZpnFWJpyNu1ykKseUBifuZ71VmEXygYZL3IDXwMZH7ejxcuDxhtUS6eUJ2CKRqfBMVNvwR36BF0e7de0TsSCArGa0kIOAbAfDYpGdd+v1e9iDJZ03oLNACW0GK/cu05GGvtvZYEbd2s7/K2G/7/NPTc7/38Iebw2p9G5P50eHa/Ls/quV+tvYDjPzAAd96488aFX39cuk0eW40st4+iVS4eXuYhgM33yUMTD+VIpqt2Bf4ODd8rPemAKu1qvGPsJIEwGHPQfWKBQFuTKg5JjZCbL5VWpFWbfqHcoEm+lH4tVprqtQEEaytA1JjiIC2JrIhl/Q6NKKhyrf6wLRO97fbNSJLgYmcYYM8zVX+6PJdrdRbCFGIMABiAqPSe04S2DGTe1RMigX9+nVfn5OyMQI0saGK3CKmIXxmlqAVR/r4pmQoAn9raS//SWTBQXaYYvzjoYp+OWcD6WLA+aMbQwWZjQdGHMRALHh+miljxNJ8rt1FUHoEQouKN9PxOjlaY6xJTXv29tt+vxTR7Hf+8LJvO702LG7xYo7Guup77rmCfq+LqwYParBMR2qsynCu04c+Kyn4DhAIq+Nu1i34nuE9ARGSTtczAk4HjZGhn5aE0/NrlZK5FLevDTcCSHGO+Fsea8Cp/jgaAaOFmpmOlIOvfgbNaUJtS1CSJRbAJfbcufC3XFvIFAKM58Eb39ZnO3JjG9guWl1oMs9e1TYXNeTaXzgBrUDKvkXUQ641PbY1uDerQ1mJp1j64E+UaQhYAAGP/xppz9XOQVrdFhMmO1AGkEU8pm1OB3mpZ9uCHPSUHWdHrUe32jRF/jk1rJkCgi1oHczAbhuhdrtMLUdbNW7lOQ9M/tauo0uqv75V9gz8jC+/XPrlI37f1XlWSr9uCwLMXfu44dAZw3fnAo4y7dMNtanwBnLy+r23h39ppUmWCKU45l/m6GPksejk17YdjV4fqJ4A7VEVs/Veau+6XfxD+BTBbFhqhFfCpXz4caD5qbsFnNfF+Y4qD90FaCWby1wM0ghmNUL9vibcGBvA2Yxe8C+Y05f4VJ1jnyelo7e88BlN7Dqb6pmhE3XcEaC/Uqdwrb2FVSp3AYa38bYFww6/rwj9+Ie+apYKTlYmp+ztqAsmUa3Luna6UmbeArd+TQMY9JkFff6CmAiemcJiIQ4ILjC4YY0sDv11zplvZew2a5QCMvfkG2eYBpWn+lLP3e/v6/L+X+//29d3CPoE/dyz+iUd/fV3d5FKTKF7ncYeGx/4Et51ZlPDXpSN+6vn+xpuXIuZ1Dx7UARvHrHeYIR1PslSnGdzXwRVVYuPOAzEbkilHHWgYtBVlZNZV6at10ES+tAG9LVmtTjqy/0LuYgplN7YaV/xIH4146j7iQla2SXv1KPnteAH7gAhmep2laWDkc2xfOfetOBej0OEjecINpkkRwHNVak9a/uDC8YNf/gv/cS787/t/AQ0AZanZSi04EnDvE3KTB7kwjTCyq8g9AKVva/7VqFUHiQSya1YuWYccd8n+KgdGCX5vPsQ4cgOyW5/OHxOvvCinb/6xAGgZWqtkwKQae+X5nvT5ex3IXi/x1MgVsABgWI5fyykdFw/2fWYkencZLjzx4MENhMEvx7ELOk+ls6DS9mIwoxm6AkgvHUht292B/5jYEOXCqoizoWedUrsuStXVoWeWyHcZH0jceH0N32eta5feZRciak+BylJXPJCj05VTpNE6IKe11F4KLhN0QvIbnxcYtRX1pkvTNfBaOqyxORKf2Pf1nrMYw8V2OZeO9v9+CdTmYYddkmrLr+MXTvnPCfx+6ly/Sq1lF1dVA78KEvycRJ6DPF4nEmc56Wlep0yxfjWk1RI03xnVZyNVc2dQsiwIh1chWWaDVQdUjk07Oa99C7mK11R9aDbr9DdjvH4XLefaNrwtAmtzxtYizVrZC9WX6ZF/Pu+vr85EvC5tfsursRZbgwyHSf72u3nyhXB8nt/4N/6Fu+Mf/IPjpaGe+CD91+aH/d/Ldy1fWJr1m5BvENh0qiObA3WOXBXn3EhqiWozXpRUS9CFENBiGjW3CoD43A4xK1Jq7YtqjD/wSuHtQ0NYZVzCqa61D7ILMPV8a0YQmhuy/a+pFFYN99In67saZq+fzyPE011UtWhf/KTzj2SyWKO0ipd0+wZdji1mGuvGeBlM/2HVtzm8jk+/yJD/xm/8mzd+4So1QRp3vT6X6ceyCnnOqWyTTt8x0FqI6WnXqdTy801r6AUW2rOCrMKaYwe/4zOT2uM3Y4xxdLksjd3Is6ajvR5bbOo6jUlAsUEAyFFcr5dQfVlj+Nv7v4Hw152GvebbjdPL8v3bEF5WybpwA8Anf1e5aPzgeLXs9pN4whH5A7sJrzKraOoZ9w7GjWq75Q7/JPK+8VgwGOs4pxg0zWHsOW+ZyLyRuGF2Id3wAaqe/z9RBScojWLnIj0Pt6HWLsBKAyXyE3MApWcd4pHGKLXhOdVf/nQOPVkhdmDp+GTi+vULft3499//BBz4P/7jP2AJ/Pu//zfs50I+wbP2so5D5zZYRMVM6hCV2q/uCSCi4SK6R0CdRiuNkM5g2fNBRvSeBBjP2qtqKZhdAOfzBM8TcOBcdY+Lx3dNyXRpTmeg5rZdny8wqXTeycS/+FTXHWrZhNe+fhiun4OwT72HV0yAIOtw/A/7wfPU4SsHXmO233VmogVuJO4HOJnweID7wfOpsmy7AD+Jz6fuX6nYikOZ12EsbomPMQ6Vah1nsDTEk/jg5lF1NTGj1XgWHj5PZbcUDCVGFY8J8GWB5eTXJXAJIMOqzySFyc1gh/ZBxJIpNbgBpEEm5R09RnGEofbTGGtZGoBoAVXsp+RHbeMfJLdeVLPLrojNrBqSRPWJuAe0Fib+f4x96ZokOY6cAfTI6t33f1R9UleGk9APmAHwyBytYqY6Lz9IEPdZgNIqr82xoV4OtlOC8HIwhpwvl3BMNTIfcV35S+NctgKqAdlvvblslj6uAtKBAXeqZ8dS6B+QOGDAAq5rtOzRRyrf1qF2ACm0UgL6WkmYxqlGcaJUQNf5xyltoTUMFsk0+0VtrBhp/FialJO6I6iGUWL/YNgj5CSJoQq1fnqUVB8qV90gz4SGXiD6XpMNwYNXtx35PWpuwS+fRJ5nLu/wfiDwtL5c+xkqoJGhbebqh3szwXMymxRRT04weKaZmwG2nwgceLxf3vyoFWN45tFC0MZZSTvTYc3DG5uSqv3w7+jCSffj87wq0LadES8aOfTYX5UIPqxWbfpVq2zSpCoLUgvQvqPX95seAADXsshpK1AqYuCcjZIkl2W2Ek4lSgCtClkxDj7arXDVI3BTYlTqLmaTJsP3FmIQwQxQ4xA4Ktc7fmwjfz6W0t0tv99pkKaUM+DFKNlxdoMRsZOA3adtKmOF0+59JJuot5+ONoSs9gO4WqlIR3+Ix1VWxNKz5hLpuyLyOaqrEGAS9DxtPT2muXF4lt0WRc7++PHMsVaTerkePEv08ckA5r4eMHBqKOwtmep8/jVOCoS8+KD7CfC0oxnnGoh+rIPA6mhV6yiGSnvfm5nOf7ouYdGp3UHfwcSRpr5mLNWb4hf+MQ6rYFJStzJJybj/E/WTWeS1sz344nGzF6YmQ0t46F5DZWH2WnqhsgyuP25wy5FXB4H73NkV1YxjvjKxtyb+Rkc+gECclZ1amcWTnvVFaTuBLocJtQlLz/W7DpvrJFJX7Pae4hRM7oA4TE7vZW6AwR4hHiegDrLB6K3zM3nCgSp7jdMApNR3M9ybDqsizPM45ebHWn9/v8AOs1M+FaEyAYlSqIS7zyc6wHFlrdXoDCn3pZ0Z0H3g9BpFYrwYQMlapq5q7LfiNVHnkd/PLMTpACub2QYuROsJAs4yR+xstQUDlmc34DgHe7M5KNRlwctXk/lIzRwD7RB+mPtGnJkMkNy2CEAhSEQNiQ3mi9+GZhZyRM4IklQGa+H68DN91Nv+0AieHuWKdoAseinTNJ7367UVMWLIs3Vd9e/wYpIjJy6fUVlmTRNFj3zR5ebZgQee+fls9GmsD+gsNvv4SkSx7gykDLlH8w+tKb075FSagwtcF/P4tWOAvdLTHjA19i8GEnUgen7W/oMjnZppm2VX4w3g5uyCTgLJscsGjS47tb9g0UsmjjT3iYEQxr1PApmCWBmCu5xG2p/kZyJ8aRCNzYUsCTd0mNn6MkJI5DxQ51NfmB5N6YWd1fg/fz5l5/NdbSCI83YmqAGEMVg2nHX907QK3AkF9VXkOzP2H6MPwQfhBx7GyW+rFpAU8hTxno3qr7D9FFFOxiD8rXyXj6c3g/2E+fy0Hjj1kDOySs267dfjIcUQhvRrbBnPaxj8toYfhD+uCwDXzXxodQN0Sw7tYTlZ9rQX9LGxYEkLibrUIWPSBZHhfUb21WAnWvif5QX4g0zFlH9hR2BdNihAK48sjzoZRegccsD5PqPTLx1nrRmoDtw4xdI3su9cHZNlUpC3VlJAC8Coepk7pecHEgwubOPrfEZDMSiZoyQZMNTq6aa3x6MBm6puPBjok1OMTEBJfRyYnTK3MG8tEItlVSB4fB25IFoXz7tqQbiOE8kQFrPtugNP7rdjO8YMP4MSmyyiFK5unJXvLl9U9FonZEvoyp7ntYf8r3AuJICiYNmw6ESbhvxk6PjQkH5+cjpyYJZddh6NtTwrITifxagHaUeajuB9wCQn4Kezn1qBzJYpdiYjvbYBsdlBJVvSQoM54qSKrSo0caDk8NnvJ99xmlGYkmoOcHY2tJAacrLKLQuDgmm7uUCFUZ2DQ1JYUmI+TmFyxOwYk/6CALZSkwkkG1pLlH6CRVsmkBV/qKGd9DAfTZ6hFsBQXZyAnZP98JZntdrZhQSVZGKUZZbTdzU/ca5bzjhnb3wjwQYEPyHLh6o/Jf1A3MfTDV0ARMlcsW8xG/cOBYLMRwwvOmo88Kk+WlP+2yg5xXMkB06+fU565lmNl8caJRQ8lEHYjsCs+sv1qFmnmI72SMzAKjuTlFR1H0Y4nGLRmQsgEuaqT2pFCaoPeW6oZKopcRMIIuHf9I/J7MXigvkIgLocai9FlL9wkPSdWfpOoBkTYsSe2jLv01mq4rNxAUIDSE5Le7ry5YyDwxjSS6DccfAiwBSDzoyvRuCz2YDzHMTNWPVlCMatQqmhyHKejQwg6qiFDPn4PL1lYNkjgPMuRw35TsfXj8F3epGPCVE1yQbZMjw6ezDonSgvmKk9uZxPBDoJpvR4NOJaRAHPzfGu4Y2NlIKTrtFhy2ubmWzFmtDI2ppCIYT13wGUnd9SPUqCFJ+Uv6Li5hMrAc2OM8gS/f//zKiAwXDbbsYh4I0w044ojcuNLcXQDuRLviVkq245vmpatN1FJJ+kdgRTMcI6Lgkp0fSMtETD2QDf9oCAofmAmIRpX4Jw88pfyX9cWc46aRNETHTextQ4ntJZuwzLvFyYzj/oo/nw/OP5de7lN18gAFzLdhI956vv/cbZgNsFX1mkv/c33vsNx8HLHWavoa5temkN52Io7w4AC3Yt/BmIrbe7qdXjwvvOOHBUrrZjH8ZiAWiElGqdcSpPJws2FtXaN80Y9gN4W+D9BtZJBFxO2UK10i37v7/PnVGPfTJ3ACnZwz27y5jDYmPh4LUAf704pRY495ujv6iCR+YN5jTblO5nBXA2bNidYOjKLOC+29Q4wB1bvAkB4B0XXtSobqbEftFXcAfwfd9ZPw/PVOpCpHSy3p7JVG7eSfDgGlxt3eV5P0BsZKm1AeH4OoF/ceO2gGPRvXvToXqxV18yBseC+wHwTjw4C9vyrC4yhjssW4Edz6Gm+2/G6C3Tzo8bOzxnl+o71NQNZL4BRUciAu/NCMfUeBDVA8DvZpCZUpx4eCw1xrM3Hka+mCkZ7dvnaDlGxtAT+RDSkN8QkSvWHzDsYyVvFJ1Su3KEdFKmO9umaeMAMv/DzysXHJxnEJEVrGQse78eggfIvpeZZBnVik5eN7HuZEGGS6pWnOAQTE26SVXxjoP7BDuS2Bj8mckutldxFUNQehPohvLyTzYXcTjBB5UqKx4vr3jwHkUegOZmkgbZpXBDue36PEZNt3rBJ+Z1qvc/GzjbslswkJlsiX0wA/5EhrEiecGjWzEitZVPGerj3/n446ckiwGeQZt1laPTTTUlraAZgZecmpIzQ7rlNYnxlWoLEYRxwjEG3LUCoUcmSt1gURJpbNlwRY37zIJdmBLuHgaLkxmeVFvKSUvY5BDalqeycQUjp2kizSY5gRfh5dpTNZwuW0l7FUum5pwAtEA2YDmfh/EUpB+o84sWYuO/qYuH4ImhWUwJXe+SVtDmdXfW1HAZ7rnCwk1pz3DYL5/S9rRJe1yfTCNwIdLrnfnw7EdKDmmeZL4jMkKALK80cqMdG34ybbMXzNfQFjOWgzq5mHBGYSE1AImPxWmxCgftvj33T8nyjoOIlnxOFUsC4URAcw8U3sn3J/AZ9uUzjRmFer7hUhybcOkJNJZTkFzcvtFFXPbnYfzEg10mRTtLdbHi3kUMAz5yVrlLH1K4SPeQ0Pk/UKKd4RU7YWkDCkGivzc4whZ2vB/MVcxpmfwlibCSTkJqKfaOTAb7HkRgANX8ZC5ilkYkn1jgtG00NLXDaiSeShjJ/at7Xq2YdQGJbrSniwk2dMWD6utwVj4//Rvt9vO8O3MP5DQYa2oWE9ozpDvIL9BsRNNdJ0xCWnEB88ciH8tt8u9wqEy/S8hb7hciTcL7ANgIO6XWmF2UOAloDcmsB8dU1wCPVGqKCGkHH1ACWBoDI8JWRK49ixvPrkL682EKbsXJKRGX587uoIkRDf4Y3NQvIDalerSK5ycTmewC5HFve9Aqo9AH59e62t6y+qHQw55IVY0uxjmWfPVmbKk+RnuyI98aPuxJUGOo37BtVDGtKSHtkZlY6+9F5HOodovhAlaS18wzTZpno7bbhmTEywzL0k24o2WcSxOwTMRySLtQIpjwDxPqkOpqQNUKHEftVo7UhvWAtPXe0wmaB9Xed5pygyTr2ngyg+aH8TizJ5GJZJ8UGjoH/lpsq9fX/gsDUt0fDFiLqgSg/yf1T7lvtRZJfwC4Fm2vtEeFFFZtwiwOOwEDFxwXvbmlcjp53XDG0OdWcWo3bTpfqok9kngp0fQfLjpaYuaC9bw2ZfX8uU0BsFqcDodQhVDGf+VEyRTVRGo3g0dGRm7Wot+KeBjPg8S0xmFPEq7fTSnOe/Wc5xENLaB2AmF7aYHAE+1+HnY8fnNik0nly72Q2ceqqUbTtKtIgVYlafhYVEtyed4DqOSvRRMqA0pDgxARkzFc7MyjXorJGJpLnrMLB9pl2uisGPCs9rRabJp3MgGM782xZrz6mwy3tAGSvwQ4nrD/pDexp5bZ/Zshxz++L4GTrwAAIABJREFUwzjL5sCVaUonYWoh748Xi3NEwejHuh7fN2tqamoWd4FqlTkLSAjilNCHowmpptEvcJmGZlLVLg9pHnbn66RTbku0lIiRxDf4avVM9mmBy6A27h9AA9OKuSaGrWKsH0dax+TNT+lgsDRORWCqJLEmiH0f7BPMjkxY5cDjEYOtf00YRSsjQEtafhyHij70nCk/svtxMxMnEWcmZmDK/pIs/D4TZ/gzpevEDXtAwygJhYCJYNl3Jx10pQESAdOxl5WbEtqILBZCJGN8eXaAboYs4gf3A1Qy1aRBvkWNYRollDMQJRW9wfuAsx6mXQdaCy3pz/MMnlN1NrKnRtlMfCCg3jWcTI0HZzynTyjG7VHPURh4sjlpCElv0YCp3aAiV78AoMGF9k2M0Oe48xLNqagimzCCU3gP3PhzHErwU5I+hscaaAQyvj0BoBBMNIM1tIQGKs+gJrfoAIBMNqLkrPBbvQ+42CMuaDsqfKauNIZ2kgGpsaRDWqG5fLhRDzW3jmUfdJydKaW+DMsz/moIxGmu/1Myp1o5NdHB8HN/phTrGIcWdc0xo1vWHsjePDwZmENmjrIhGSayVbX1ESivZLkanssqCevEiZmnIFqogakROBasxUjj41DiGH1IW6ZWCSz5OppQZTKFzg+pNXpkkKe0RWqRnUcXPXvyQSB8QSC1kxAVGaonYAtCPI+n2XM8/iroTPGq64fNXww86rt5Tww4zLU+pwkFAjvxMsQSngw8b4vP5fSn+JJEynnsSMbUdRTxMYZTgt1vIg94h9c8tUOi32BRzTl4HxFq7ky2nRBsfWRiSZLIgpFDveuxdcB5eu59BAv4sNsAh2YDtoJVOWsRlSYl9apUOiC1gCWCMHkQEzm2ARUhatVzMXV6rUw//vfvEa94kP8DJZuyIC2gkM8c6nADOibVNksc+2D4AnQ/r3vHgcNH7ny+45DKlnmp1zlDT/sdvoHa3fwk0/gCS4AJhw3Qphea5gudOARrf05YMAxIphBN/NKrz2nBIJoUo1/CGbAMms9W486D9FH8x3y8MOCFYXN+iOCKnXHvihJwjY9Lfv0k3OT2fFJjk+ynWHgSvwazuGQ/1HsCCJhRBz/l/UCFMSA4frx6gsK9iL80E3R/7es73lmVxdi95kDbcnzZPzh/37jc4PYFIPDeGyfu5KxuwPcb6zL4Kwt73neu7Y8v/PNiU8oTOVQyouq95fu9FdMlBnhkbFp9eMxuWFzYZ2HjhtvByw3LFq4wvCntcZ0eUBGGEyu7A0ewHz1wLiC2BjY7AgvXlWs7++SQE09/xzEgLmC/A76AtQxqRvneB/t0LFj95lGA1eEfLCy2POvchtR26L0gbvpKBryQ8fqg9rHfG8syOWtbRjS+DACYoxHf8NuBk4z7+CkGAQS2bbyPFwI5pbMaaygEkhoGNaUAYbKxXtII25Gasf8A7GaDEDA/w7EuB+IgYuP+e3CxkQfEKOAVPThxsFaOj9snk8Z8XYDnPIH3OVnOeXa2Nz+WMt8cy3JWRSwaT811xCHzdzKhQZhuIG5L38DJMLJo0lfL+M1tUbyQ2R2ort8LXlcJyxOzSCoeMU9pyfJbFTMg80xbPLXuHYGbM9X+1JWnnOBOjfeOQMQNg6Z6tUpTCs7Z1BwXDuc0BDJb8ELg8qNuuOjcYv3z9NJnEsLujQGFoIecXdWCToIoww5KhMhqwzwrqqXhKK9RX/5gYS1NFeLZOLRrMsefusSJh3c2Cy5WqaZt30pF9cxSZN/7CbQIo/YzZItNp2Kr7tI84rFwufMM+2qVXNVcpTaaweIuW9SYONBVXDm8pNbGV1RVnHi6Aap9gImH0ySy9UC5NoakWuX5mjHB5AH51P7aI9b7EtFJg5F2M3TcznH4+MT4b2f1Gx8ZUJKLKY3XAESmLj/y/umwxeN5z5eOuEfnh3gw0ef0aJ0PBUEfWdqB1gN1QzaCiY5gWeOLhuB8fp5Y0lrpfG+ylb76U7fQz0+NrXfcV9kHBJ660gEyDwBkVkcaBhIhUq133HFjnxvhINdzxJ0OsuNJyIuOtEWEdXW8ObvNiQIOlxfo2Vf2sbqYaNISNYk7mUC2DstuRGBcGqr6I882ePaV510VKlL/gV909xPZkfg+wD/reewA2I4qY+F+n2Ken+piEmB/nwdAexyMpUsZk9QuREzFUk1ZjnUkpEKAgy1Obd6MHXVgbKzaaKD0K9i42A6MvfqSR7dD9T4JQ80FEBMQ0g+HfSF0o/UTRcVg2z4OgLUcQlX5lkBtR4lMmgKc4+MTLytLtJgOv9biBCWrvbqlFnpARqBiNVJUjHX2sNgOgfZ3BhwOFyWTSjNHX4O4+tz/56cj821KjDf0dTbkY/R59zUl8+v38fHb6WwOJO+7lJtdY5dILJlAYyyEYWkm6BQKxz433vcNf72SPA9gy6qcvQs/9rDxpZ6xV7RWIQ+fGqxVssZ0rvXmlDqTGsVmj/yZGZV7CFhmop1WzzzxJhEJyGgBiVJeZgA4J9tO+ZUU+YMLm1UTknlQUw4ZgHUSKfYwdRTdiAC+1qvuKEQkE4ah3uHzjAPF5Er+0XMv5yvUiuzQCzwdtIUOojyhVo1cgaLF+0RFf6T9zM0GcUR0VzkTQ3F4Qud5puq2o8m5PHZmcuo6oq6dx5OU/fdjUSAsgFpESXE2djHBx9p/U0Vk+rnRMJ8hMc93A8a5AigKLSage6yfN4+wT2FOnujn15SizxwANI8bPL8YiX08Z74baAag6srrXTsOgDXxcTZuc2w78AvthYbD2QQykJmAZq/inMkgtDL7QABKhDFJCDGgK2ScKTHxnGQrGWaVMW04+IbU2B9KkQXOcWCTAVhnHmYfvfQ19ApyzR7seMh84gR4PA5RX0cnt8dH6rlR+6kKP4ve/3Bwav5fOjmbeqJMKYEo71+U1HLPa2JurwtFtA3PAesCl2zg4WQaMlDmhkW0s1LP+IBF/7c94J88YF6RIWO2/LJA1ZcG0HFwKuFM0tIaTWGJjyePpfHbFDpCN+UZZN/EBffEwTOd1WjTM355vH42pBNyErUc0J/RhM9/+nStYomAlvT/4fMUMn33NCk+cXV+5vMvhiFrQ5XQg5Mc90osdWdFkiBpgF/OIZbjZeNc0rzPhgfLOsuriuzE3H/sWAjPgyYr7g0vMqTB63RarGR0Sib0/NjMTmNhzAkrT/l8ea6Vr/TWZIJOHhHRBmDuFaKKH0/K391OIjq5F4fBFysu3VLjErHXIuwpOfgOXfDMGbD6u9YYR+O0jeWyZD7FV+V0fSJNMtfIc5fk4WzIfIZEgdZIdhTAzOMoqypszP0QhJ6ycO+djWiVhFa8itluJsas3AgvPJqlsf/pU5roaS23Z1ZkOex+wFiQbZ/SlJFFpJbhM6sbZygQNRPTHxjx89Pn2P+S9VpFb8QTC3LjZ6+nPDWAz7fq99MkWQCuF9JLe0xjpOgQKnWGddxGU+HciIgkpNcX8+YDCut0ssZBROapl+poYO58iRXsDhDjqTIEF8luRZRUTWxpuKgnTwmHgyJ+SQlzdtpdhheZ1s3hdseuSrQwShZDev2TGJKhJA0HlOk4+a5I53P1FGQgrlCK0Y9CBnDYsqwo3aVR8r2zx5l9PLsOlz4b/iFxeJwZxLyECC2hV8UkaXMzeaqKTVjcE6GQXcJTZpMNH0pe9ySY8hl8rFlrODwvTQ6OE6WdWbBdHQ4JDkCFNZN57V89bZOhCwbpXdeQUXVIhBjEVLVD4CZzC7G3DqX1gcjULd6BB+cY8Bi/qnPEeEqMk0HuGvJzVCHnIP7n/fh4KuqpPv6++b0qSK4vODY8ixnNGObIA1mUoLBA2MY5NzuoGF62sPyF7X+h9LZWYQJVjkZRL8kqNv+jqeKv2lxQRXkmQsjCD2xqFkOCUlJ4Ef+RvgxbwLUUqeCAigzAcKmdqZb5B1alqlPC2jkFSLg8+8NuQ0AVEi/lUZR3G0Dclahz4JVbD65BJ2oB2E7TxQZIOzEmoVRRuSG1dGEmaw3zJRqG+TN70tloimoOM6HIXVgn9Mz2bp7EOIqL4vHNb5Jvomz+HNnVFUpEy+nF0VqLtQZicvRWRObQh/xBEvP9nnBPv1b7sugBKG3Kzapeodn6wLoZ4kPTeE2W+tijqWHIRybohELjXWt1Z+7jl+t/2e14vujv59/mffK1LwCX2cnY6A44Dmyluh9huHfgXH+ByISePzAcW/hGpoA63gjmBxAUOWdwOdZio9H7G8rEO1QZI6j5OxD3WDy9vAgwTn4h2LDDcHAx1XQjY/l/7EJ8pSc/S1azPPbLDMcc3wDi3Ljvb1zm+K8//4Udgf/17zcsgD9//iCwKTlJujuwjQ1GHPD7L9wWrvUCri/k0NKNfQ6+T8boqyyVY6AOwOrJwHUiC3au9KBke/I8hnMclyYCROF9IUJdZ+XSBDMFyJQDexuwL0jrMr8RyC7HZx94OI6lV90tWM3p2IdRi7MztTmyHPwd+dx1GV7LcNuNF15pn9sG7KSz1w17STvISEtGfFKLyO7QB+sFnNsQ+yrbIIvOknAuy9yNzSnBwKrkL7MDi5waqXr/iF3hkIjAGj01pQBPBrdvT4cX28I7c0iWX3AsfMc34b5x7BSzLOm/r9RKyNLljZe2dccZtQtW2rPTPNkm3DKqCGS8Ji3qQiCb74B42Mnhg5qDvIziD3aYGNdarnPQapk5Jwe3hBKHNFshgBuG24Arh2oEVCbZo5TlHY8nSEM2f/59+YXZeI0CP+vCGcp5CneWIlpkFhfLHcXVgVIoeKSbpKC2WuwUxMwE6UYpmYA+pTyIsyVOWRMvPkkVWz3rAEuJCebaU0ORZzjopEoplJl3NZwkb8VSSoNNncWhYpypCstidPo4JD1ToA1VUACtz9B2kCFRR4zuunln9W8ovYY7N2SIz4yMNidAq81XT1TufJCsSWgNwE+mAD8K1WLufSx953Xn7DJAo84tSvIXfohOtFt7oTv17o4uuBKbJmx+kXuWXaHMXiW9nTh3bFeSkgG4oCY3/RydWS/xmXXYreIhNAPQtraRqGVmlpzm+bTCZ328wyfUOVRBuuD7pBmZ10E9NOF6NhmnhK/p8fnzdcC4qp6nBVmqZssCd/GdbPix5CETglk6bDoDjUCM4Giv3FQWGIlmrRBmYs1n9NjjsHFEvtOreGQQaqQtmZslgxnnZDUAlYc5DqmUusODKimSTCoCFYab5chAZizWDAVPP0p76JoBTBWv+tkj3ZNqeKFM1ZryKkmq76FDa2TJ5Kqb/g+5oESJqFLjSvn9oRtaStLFREFmFTnXkVqDYNX2tgdgp9jBr3Tn4PI3mknXPqK+qKls+3pDgpDaxUXNQm3mIxGdHMr2Ly8fmxUumzq8gBoITcAcPGK4zKquI3MtOhyqCH2MJxdLsI7bo97YcYTkNcbEoMlKRghIa4xSAvrIy0HUDtsCmD5BGBv6jKOfC/roxHDkm4EVA8CQCPmgFcHWTBmpvBlqCmhUBOWNmoiAOgoGAwEAuyorUrisCTZHO2wNKjcqODG7sGLeFuW8OJHdjO99l2aVLcGMapfAnPasZzwOqUtQbQJvLIbWEO1HpDmkjG0RZ8H4iFFYFR/pUKSpSAdQWaygRHcWNDSlPOmFegmHYHpzIAmmoZyZeOLw7UzEkIyy662fT4dCrkDaHwZMIMiUQDqRplH1f2LbtutDBg8Q8t4RlNJrao2MCAlxi9xQMN501oa4RT0YwuQHTOd3fRpe/hN8wDhRITIrVdfEEA62izGBsKhISAznNuEHRL2rohUUu1MgZOgWbPElB7SWb+1Cm4JAG2uApeRDjKpZe3zNyAc3FYKNcDRw1XDNevmhyOue9emHbcaihQaAe78ZQqZsGgeal1EpDdDD+9OPOiUCxntAduOVRqTGJMq5d+xO5dae0pmzwRJnZI45AZD2Wa5xTH6HyFPAaf7aHXfUpbgmAqNlcn1i7D0AyXx6WGrXLrYQaqophORB6RnEsDiQ1SJejQjgshfkD6gdxMGKwBqeg4IPB6Goq7MSjCrCaWLuwD6BFT4FygO5ZnLRQMnae91nwgsRDs0Ci9p6mxIx4AHc+zvvd7CtOI0VHrTU3n6zGHWfRyBNFhG14Yx2aCg8F2DtxzpiHHE+XSnYeVvvXuzukbtS+x6wCsn04pR5t0VJ/88coJhAnjyVeFGm86DPnPMYULiGpQxaOC7AOl/e+lABZqHFhiEl741OqEin3SnifkhxfR9ISlT4TJNhx3URaXdGaUTkzxRnYjxeEuJQXeZhWZOgE8lENBnQyP1Z2QnR5bFg4mVJh3yHfMRiaEF7V3WKlTNvzZAfeNhHA8OQpPw6WErlFlRUBEFlpFnjoAciQhCZlA1x5iuLSBAZZlVIt9qbG5N6gGz8QgYTsKcitJGmHVevEOZnbNswljwIX/3+AiJcIThrSyLqHB/01tlHPKOB+cI93fQD7k/o/yjQebws/TmTXOX3EUOU8zG12EHUes8jAtXvFiPoQSO9/jzD3F/tzIafYPrN5A+w8QguzmCwa5UImwKjTIr3gczJX5IKcS1bmUsPFgUxJcqZnPF3H7zQWsCOPB9Jz2WrWRoRTSqbnaiEiDiaHTBYl3wHQF5bkpOAjmwq+qglr0lEZEzO+YAOvLh5jZNckcVMTjaiZBCNEsvndZPygMyPROmMXNwAPdaS/L38Tn2Gdd6BDlqIIMkfSLg5pKIztl5IF48DjFK1ogir8Z33EWH80fyxZaCYmfofzL8BGbk4JzMmw7PyUa+1HVlspf1BHXG9iEHmmt4qhi28z9CnMwdCjTsTDzZO5pno2t4WwLOwxZ5LEZIK+WfXmmZqy6c2ELhPFIN+tPaKxDMLhrnJJpQzcU5SnC9AjMHA6FCzoDqDhrYECBn7hLkcy3WExkxEEbmRsHVHVKp1UGAVnpABzGKoOtUyv5/4WbCDQc6Xy6VW6YKYk2r6QCvDd5xRIDPr9EwtsLgc1Zy5uMeHhyAMaNTsq5kmU36HdCSyTx02lr84TrodVjvAkcsTsM3BYXMPnoTdNAExGoRj4zsPWFGSICwJoNI/RAmBQbiA2jupqsygTsftWK1rtfUHHg+CjiJ5NFKe/medMxEwZhiKmSk+YHWNyCfQTLfwg9WVnfTEWhBK8WJKw1yplfL3B32uPpD/8TX63Qq9iXkCgPsFnBuBA5O9awaE0yUwk2lbmgqgZ6zbi9BOQR6wNlfiaaKeUM4pk5TqDNrL/yteNxql81c+ouh7UtgHLr0bM1JAcWxPzWJSYNOaF2OpZBETE5Ag4V3FrVtQXcc33AGPhdcyLHthx8GxwHfccLOMDfPeyxs4iWCsRz5yMlFK2sKyhePpKAyo7LUJ0yLSiy7pwr+Dm1F4SvXPiIDflKBuWNeF4wsRWc//t8Z8M3vQDMsPbg2DMwN8MW6bcVGLXWqaAcXxz2HmGCVVMO0zG4IA8KBpYJk0F8iZ7OFs6c7+BNciCfJ84OwPkMhr0tuIVcGDKvuYnYdjOXCyjt2EXXrmQeYgROYUhBm2G8KBa12s4ATsGOwsHNb2HwTsKNWbuHVb45kFcP4FzHMEG+PMb0rwFS1/2y8hRE4qPkwlPpax6xJG5rgsme8JdUBOtdVDRBlYx3GLmPxFxnYQ+2BtABfnSJxM6/XFGgKGmf+5OotummKHmuP5SwZ0MM4YVCcD530o/KTJURtBMoplNSEgv9bfKLh8tVMbVtJeNzlkpgy/kugz5CScKb/ompZEFrGDYqup4dBQ8yjmVqxfJjmAK53wQwoduiYGVy8bkBxaCFgmlZ0GjlFRNC8ETmIasVFKEE2obalXCZoFoHXIQQUiA5sf0DYt44i8eqZhQoxDJIhiPjgsPTmkOsX4irVndODn3LlE2DRvAm5Xv4v2Yow1yJcxIVmbe3xaS3r8ZXDwlLTDeWVgmqpTlZaOEYDtirJ8KJXthxlnqofaWEDScUvl0tbGGj8VFj2DoKBpAlQ/X+EOL1DwMvMxBPPWYqbuWFnLQx1NXIss7UUJtgwuBfvq6NrC6dYQQqnaTl/UQJ8oDWhoGPHcr8UT335IaxvnPg72aUqmhjR1Geu/jtvmb/Mph/EpLymEuuc0xUFZj8ICpYhfKgbTBNVSjqTKhnVqczQQdaRxIjOoLJNRFju2pBITAJtqZsYUN8tFdL/XJwStOKUh7ju5mHONDHd5GDTB06j9dDKDfkGOWrafbLPp6z8PID8V7Glfzs+gEMs1iPOHtkTTOXagvMDjHO1BaYNhyP+hvzbAUU4jIXK0WhfFPDMK4HRYDvIpCaFn2/iKz6/zaCTVKZWltGjtUlMLTwbuL178ZHfnN2E4iF1srqVbfXwujA5eRjPkBM5jDVYPhzhRgzIAZz71offSgtoctE+tizc194HESdCMy0uszrVJewAjnljmvYV0yNr0JMz3NXz07mYAmSaXNMWWYvbUBoLI2H2yE/4SqNcJ0FseOppCeznfeln8roOqkHqhMFQOxaTCYgGcdw4dIepcj9LBgmkB47HjCNyHnnf6KhA69Px7nPcAyTwsItRDgg+uy83WX6cDz8bmCNwCPjMMdRyJOAFwQEk9cMZNh3MPlOLT96FF6XeCafN5FPELyWzck5pQlL0r/m84OLHq5PK5fOYUXNr6IJBBYo9zrqg+4RAYzEzPCGUWAsu++iyQMquy7yxw/MpMVIHOnosqkxLShBLXKlxJZ106zHh2hL2dPqu5WbkwCvcWABK/ioUEgMXZDH22+rvguIv4FWP+8cpBOwTdIy8BxNOORZT3CvMkmgENPbnKuCUMxO8ydneGgNuYGmiyhGtsKdEmhnSg5zHXN4HZyJn7VkhtYBB3Wmr+8w5kSq8hY02ECobUpRB/x2bWHLPgzcoGCxycfZMi1hMYxCZj4DNxJpqAWeVolrZ1iWz+i7yEnNXLi27FIqWp3AxbpQQBPG1tWKYWT2wgHJS0NYCS90/iFxE+pGQbY7pZ05jFuk8F6VRPP2DeYhxSg9V+7EcoU3ggs6Z+N5GoCbsiB/zBoOca1XFhjRcDCQ+sANNYn05gMzHD6TUnnigEBmuvOOhQPO1sO9Dchty6lYQfjJVe+MqsJfx1/eVKPEN2OCbzKNKc9DmGyRYJcK/6Kc1rK1i1jjnOHIosyKD7TUICUuyTqSpXJs2rKbSUiaInKZIDGK4KXU3P9UCaKDWSTg9xL0GAQzBVP5D+ADopEGVbuYBGaaguMvOjQttyIgXSueVsDU6TROCX+pWI1hJowLPCfaUa+rC1y0s+9u6N1GB2n5v2yHp7MFxYjRhlAggjmky9PK+UYnXAeHB9vq7sc+2ww6qn9xRiPuxtYFn8ExSMAQfMuc79IZGaDTdnzH2Xtjq9ZaMXeQDkXlYEjYUfH0OxR4Td7TOqw1LHu4CxiWkYxvBUAHaSMRSVWcuJwR3P2SypztRwq/Md+GBzbZ18I5PQ9H0qmFmiTK1W/S5lVRbe0zmXZugIAeuoeb7t5Rih3TonPPxgjbptAvWJze+IQdbejHql8B35jsX9sqNnPUFi4nJO+tHpW6WJZtgknXf5eJ+qrNBzkduYSDJHiVXd9nXB9sE6u3L3j/AA9EgOcVibOZmc8loLi9Vn09YuVHOOKtMWSEQFVKtjTuLWhE1WUbm63eqealNtJfEC4o+SNIfGYyA1D/JyMUbB0VCSRWgs3NX31QWtj7W/i3m8clB1uMhhZWOrqQgYb280oHNNRy+mEyinJVR89qEBSIKXdC3G2E/XMeirEQb61ZG6Xr+byS/D58rUbhF8OgQD6strnwDU82NjM8Hs8OUhSWwAVl9eJCVCRSC25F8Tk3mwYzD4TDC6ke/204QeVczA52KyeeEiIzeKgA1Vy3YeQBXdRa9UUYl+Zm/8QMKjhc187rF2o+YbumJBRl0AygPITc5YdZlZ5HZR7Le5f5oFymg3tFsvuCgHfMHODY9MoVW11cy/qoowU7y9nT9/ajCApK+kIOHuV5peHrVeSZPBCwdwxtd4JnQ8JHnBuj3nHfYYuOhr+IdOwamkjFk/5fQz6zOcPf3bdrQZJdG8ReeevCodfqEbiBBuYiKHJ+FFmBMStSRiRqUzFLUEvfJRBFBPEMP7+HWeqfBgcGbT2R2UT2O66AUpAVeIPcGlH1WFKRNgngkFSxaF2dAa5BJTcVfFkkpi5jayBbtblpkrLJlNZ63aiOXy/XHz042Uw0+1gScuknBpLsUE4IMJSEMZooE4dsZTvYBLQczhu2qB3zEiAHQAZhSAYM7e4gfO4gedi8PZ2HPD3XBdX1hYuN839v0GfDEUoTBdij33lQ1Fzsb7HLxP5JgnQ47lTlgi3DWNKwMalqW2MGDbwfd7Qy2z7cOTew6w/GY7KbIuy++dyPtm+m/la++splF4LtYFnN3tocUpPbAiOwYlUFWPuBC2yhOw7Y2lGQEW2NjY7+yYdDnz/4t+VYGW7zH3atFSKTlFndJbhDDehUAHqdrHxntHjim72h+guLEBuD2J5Ga8HTprMfLjNV5NhARqJr6QTlhj05R90mVjX4jLcNbG6zb4ihyUYp5ngdzPwqFfxHDWMxIQpwk+t214XS+cG/h+/83szmVYDsS9EnFeGdZ7vw12Au7fiMPRMBaJH4st3SKJwOOf/FtshN3YAezDXMxwCqaeAyCScjZ6eZkRdoFXUI3fQYdaAP8kczhs22ygK2ABBsd6UzsexTojSJUXH0PYKgZVcltMx6nVRGSNC1hh46i2+FUUGQGrylDQJ5RJc41legJwBQLGyq58o9FRlgfnJmlCWziZaqYKX4Y7bmiya4sOB0O6uHdkooa0Bkg65GIFdRE9LJNSFPM/N8qHIM6ouQMFHKn5H9EJ0lH/YvytGVw8/0jVooQ6Oj1+CDj0Y/PQ2A6FsIjqSNRsuZ80vf0l4UxPjfH01lzKiRYox1fSzqGN6uIXDwSVAAAgAElEQVRqCJpurhAX/6tXZF/8D7AEavhHKUGybWvTNiQ7z8XYviLAZLBUZyVx9kFh+zwLZb65O+59cGIjwticM6cWuTtuVnCulREk24Z9DDsC3xG43IfZRXgZdYegM/IAiFVaTPpZcsaRqjhjgn2oQO5WEY16hzMMHVZyw1VVhZbWEcmUHkJf4KAkd67VEZwT0VoVzsCDwk++oR0Nc+GP6yfufn50x5Ulskrkyc+ShCA7S+2WqZQBxuOTA733Zo/8RWRJMaU00HtHMYEH8T/+SyAOIIlADh0xCIUlE5om5xSR/ITBP1Ts31p2f5B7qqNyU8OKCQ1YFyAnLyl6PScnrhglK4ledqWcPNlQVSG0UxweZVqMoykgzbQflJRuaU3JR1jzcNrRGimFtFSn6En3BBlIZMaAj2YoyYWFf4bHfw2wKcIY0A5pd9bnGgmeJJjpZIQhjiNOahnVas3v4QMwIBbu/cbiZKbLAAvHHUm+NwJ/lmdmYKm/1ofjCheDTID4i85dsZr902duGFOSbKjOQhEKH2cnpAdxl5QhHHicXfYcJX0CCb6zMjOxQseH0ThDqiYDibu8mtoens693sc8tyfeTzK75NhKrpLqs5xDhuTQqzwpPdLpZqps7jXbfa1RU71j444c7yTb/fFmyKFsKZFMBygkBuLoviiJUTTK/6TDJup5TgRS+Wc52eYpFyAaLO0i0KHnTQXIAckfWgURT/acCK2KO4amY2iHXQxpqr/+4D4/Dra1pwAKs0yLJOLIhrdKepp7bPubpmJuhUQiR28xwBKxnr3uHr6QTGsOCgYGIAo4O5jmGxIQVJlF9CwRL9CreAxRDVHNAL/6DGuKnhnWctjJuQsPuHGoaYjJJlKKK5YAqegQ358JRax4pCZVFYtAOZgr1x5keg4YC7ISH6crcHwGtfYToI1VxnqhmJJxHhI/vxg+n26//lTMGD8/V6+LO1QSD/PLc4lLHaypzmeV1R2Ruc5y6dXCM//+MDmmHWLknhCyRbNGCUQK5NhEgArQisCeAKqDQVSGIajTJFL6EwrjsGvfAhj9DOW1tnFSA6qTmTQ/1jPbkZgCWvHXDk/pjlT3Rk6BPSV+9CuL8ZWqSrvMOdHYeFH71IZT9OPQ6w0KAf74iHugiD0VpOnNltmT1YQ7siITikxzeGwuIdX0UyZQeVCwD9OAPftIOlKy3ydyNqGlHwCW+f4bAXPgBQ5MKQ0VZRY14pu4Za22VhjsnzcctknzJYlyjwxGiGkFU28VXaqu2J4O8QgwTdCYVp9ivZZheOBhmtRkjPyvnPCIGA1gPs6qBMoTV4op8beT+D/xAACuLkEcf1aU66QHWOGQkjyFVLSPCngkxYh6aXJLqcQ+CC+J3d3qZwE7s+tQKmLag/bg1uB1KIkx3o9T4cYhjHLFA/jj14M7KUEpQ5klP01mzbyH4RVqIiW5ohaU94bW1PBwcktlZ824b+9xSCy+TxOypPEXXKTPcA0CdNnrveQHAJSwAyTzSwk0bP/0FBJECrlmzoH/SHTqLSBSYKyZ4FU5Xpx+a4H2jlkyAU+zSROllhsWPfmbcxPXKwdaHCbwlJdfhJNPGzmMhIS1RpngtSxS4grFYJOGjaG5hrUiU/msNPeW4KwsvDIdnFGcNzJM24KqTno4/aZg0mkawFqFpvaRkdz5GuN8P39q/f75EVQuiQlrGOZLTlbB5fjwQwOcSosB64wm2JbXmGUNfgooQ4QDvgvoqep3ppa4BKMr+S9Q3U8TLt6OJnJ8A1BNIzTOXMCxgBrsTa5X+9P3Q6IaIa8IhsKi3dx7ohEa6SOZWkcxDt5MSrHgdCET91U2xWHZUmDBK0W6CNNqhWhVCQX3yu6rtEEbGYSdyekhedIbLw1iYgBaewlgSBzKEkspZswslIBMfDeODWN9xjKOTc+HHRjoDidTvJuIuI3lgziyyCMrPdmRChft8XS1wywdgsssKw1L3E1m2aG1ZtbZ76BhlH0G5fuAkoAKKsqqG8cRgZoO7Mbx5YcmTL9PDFQNWfdBzTsQd2yYE3fHmafPoH1msOnonEeXzsxBwTq1xwGPLRQuNwPQS+t6xn3JuffZUwvP84xUO/0A+9yQViC73JEe+XRG7UKWH0gIwNj0PktgRxFRwcM6DFgHzW0K80UUZdcddIosNxsPd1oR9geLqN/YuK+8xLyuHVX5bkMpIhCpd44glV067dzaM/uoNCwpNqQB5jHOD6UTGXVwwKUSrSAtBAH548E9lD0/EKqear1340E9TCQ+x8AoTWQnXVDD00RpN2R4F4FsJ3Ng1Q5VYiuhkCYMJW8EW9wFW4M7jtOEIjd3QzIZADg2GsNGMfO5Jwj3+MvDEdwi2nWueaFcQCTd0GxSnjc1WQ+Wqmela/Lpj74EZALqoZg+LDpx0Wr643wJFpOUEW6TPuPjeorfel881LEmeb1L71PScIBzAQyULFlyVyoIIgdpiBCcB3Yic/TfZ8PHeOcVnpzbknFsbJhEymmVRQkM7g67LrzPnT3sYfC1EL5hbvjnLLzjhuGFhVcmd+y/CDt4rRde6w/+/v2GRU7RfSHzD24YPAJfJ0Nk5+RkYBhSzaREySqsG24vBi8O/GSs/xzgHYHLunW4iFo89xLjCgfehuxpb1h0TKaL44UdN1urGS574WIXovfZsMXowJz2YafDDsvzWXP0DH0V1bKb8FygU5QIvtmC2S+HrYU4kVOeN3tAuONytpQSQYheIpHqvQMasy7bX+G6fb4R9sq8A2orN3sxIizbVZ1vqJZiMQVY6zs4eO/s6vRlAGwXAzAAHjcWz+IOEZ0hvqmd2UGcr6w2PYBSow3BCcAL5++uUN45OSvh0Lfky4ErCKsEgSN7Xsi0MmTE4LBsfCFLrx1sNLo33gG8AcACr+W4mIUXUWNVUmsejsPKxlOLLU5gcgdipYCtgSMkzbwu4ZeaQwuUdF0t5Mh7ZuQicNlFjfrgFumbwSwHAl2k7cEFnxLiqTQkVroZLob9dmx88rS2laT65e2VRlzaSnpqM+7LtpmBVLP4BHMjsj6lRzLIA7dsV31ObtDCcFvk2HKsWqcOzLl5E1cy9vsNJDEjh2kA1g6h4qK/8e2r3DwNPS9GoZYZl6md1pNzt2onfZVvkvSNMcC+1iNmXVDiHiV5wPcH3pbw3CebaGQb87RhYwVekr6QZBjqJLU6SedWkE9JSqW65jXG/HjCKIBrpQTJCc2be02MdV9VsSfNkLvhKStiwjx/RIE+KFh8GdZJTSELvFzxYqi1/QHokE7kXy401NvabycUTQWTHYJCZtynFpsZg4EMkTucLfOBgw1Wgpd2NBRYjUUoeCsi9NC3jAzP2DqOyTDOG1PjuQZaCKcTA/NoovGFeKYsXMPmXKwfHyGboB2FIIkVYgQODaYQYtT9BG2NxfrxfCcCHapWyk1S002GeYxKlBF5XFcBN276DdJfgQByeGRCvEI1yqIiA9BhKFXCpJ6RwaR0amJ7KlZPhymtzUqCHikj2KCXl9pDNSMlsRv3UUk+9gG9GMRYi5hn8jSXYDnHQWqwQUyI2HJ23sF4V6zOHpzJRcWt5QwkAyj2IKR2Y1NTPgfKXQzIsbz8wr4De+c/gERrVnUkao/WYV+DcuyttnwGLnWtwwvpJIzjyClSDP+RcdlynLOzvTjoX6h4USXDsmiLDNSNfinDPjvt95EzralGAJi8w05RYMY98XEjtcmVfIg+g+6rGeioSrEiqxOGhG0EEH7AKqXu7GtkXfqFzn6gSqanGTMCE+PcTjIIA65sCNrSp1scU9KWinloywKdKcgwDLFX2V+p+tJR81v+OzdunDnQNpe4p8Ritya3Q/2MDomDROhvZoUpC0zFTdlK6SB8QzXlAvb0kHtUVHkwquk7/0wB6iHc8jRvHATTfFWIGXVNMoClfn2DnpUTEPWGAaNKxmdBa+WO6u+7v63L5RvosOMLL12BcGspw9K3/aiOnIgDMk11nS3xrBNMAVA3PVCv4XieAkC7CEZ65vTljcATSzLSUO+e2w8yHHr12qOe/zsML14LZCzUHpNzQWOyKuGtOQ1gSoIKdrJ+bAmIJHoAMDXFlS+LjLL6HKpn7uPc+3c+cKLO8QGDEUBmmqBRu5Gg6JmeuiO1XwRnY1NbdDIdV6gfhstq2IIs8/lqAMepirGuOFAOQnOwRv8BOyC6c/9t+bMIop4uZcIcsIUsyhDDITGbqpalN1nPitSMAZanujteyzN9NE7Zzeafekl+2tub+fo9QGEegghJ7OnU7/VZmOlELb0dHL5Yh0jPFTGhQ/CtYcTUEcc51CulnwoJqeopqi70t+DPlgNeYKky57xPo/bAdmjS9JQEVO8WMLwcigpNKWchXyEGrn9iVlI6Dh3EBmc9gEyHswPG3ntUJCq4o4VoeUqRbVacP+yzc+4fUxGPOdScRu8VrCtcLZb24S2s6MQ4Avs4C/VXrPVhJTOhT0MqN0mwWsA/RUeLFZt5DJTKtfGjEW8PBKnNGIzmzsxGpMhh3cKVsUjgHOwa5UzhDseVODDYq7LE+FlUcTSIu5waSJs9/EqVnbdr6k9K3KDtHVATygIBnXCgg6ji6PwnW13ZXMekQtfxpxfajKZCH07AMof8BF7yuRN70t73Sqet3VCta/hLnddMIMG+E3n0T8zuYEGzi/KnTQ7vhfi5hvYXOCW8GjrUORdDrZ5tQyswKKNqUdUWQLrUFZAXX4ilkKrqCU6FwUCJOboEEydeR3FBa8lj+ewTnTKbylmeeQfjWwMM5YIUHPFUKgYxBgVOoqOqQCnZopaTWgO7MT21AyJiVZ9m9+pDDbCOPbzsamkhhYPA49QLd7jCEpc8l8LuQDvmMPS6mYbHtboAMVQEJcopvHuLVpBCTotTbwz7JH4588fPFqmpdxFjFPO7zuHsdXnJIyWxHEkuaY+cCRiWfciczgRJeKOJcKLj3cDBspVOqJKhnRprEXgw4ToKAsiURcgduue474j0AAPwa1EFP8zLpvrPJ6mE05DJNx5W72zJKcbzGwMQv46Pf4mQqsuWVarhKQ5N5ll8h9Nbm8h6A7jDcrQWU0hVEx7ibqaDbqSBpNSQNCWsjbfVtcboRpAzH2oNmXvuMMRWtmbHmhMIzF5Qhi3De0rzVVRCXW/VbWlaTEEmLmem1GKndmcwpjm0E1NEpCXf3szeigEylXhoHmPh/VMA329OM16OZSx6O6kWa0ioVPYD+UHEbDEYU2sv+SOZTnNMakYSNKHTelpv8TzOSm4bGWolXqw1LMjvYM9n5crUyp+CSEwOhyXPebER9/MRGxuGS8SSF/CpNawgsI1OupI85IRyDnHx7UHG2Hqo2pG2sg6RSESkt497o4gK2LUWHQjXS+8rViLRCVSL8UQyhaaYiRiS3ih1MtckB1gjkJGS7BMjdXpjf+w7W1pBOcuY7hpqmUOQLV6DSHhcIuJyog0mGACrZcb5CFmSYd+x6H2I4g2KlRh4/5EU4T9PTeCY4b6zlbiSVASnuccHViJhqn1a9KRI8aqSqLAseeb4M7lWNeXBzTOHX0hqymdg0kxEV2k/5C/NnpJohppVAGsRHpk96AqZSvsRboaxChbFeMV8Kxa/7LH32p/wIkhYQ7exMgUisfjBlPtzBtMT+nU6fTqL7QxGL5rTesE1Ukvt5rftsN2EK0IOXYOpDR8ClzIxxV0NCxYrJZWltL6JnO6Gl6dds4/jNsdl9GoeOXWAdS2YL+AFnO+/Xa8fF0QWqdbvjMUGKg/YAXx51uB/xzf+4OJ27jwHrf0AFhvxbbiWZTydnoT0VAKxHBFvLHf4Ymgt2iaF5bXf98Exx5+vhRcMcefz/zjwVhTiMGcvMishd3HjZPYB3BxXZIhGKivwApBalHtmSmZxSXLsL0OWwYpwIh0WjuD064zbm+X6VWqcQj/P5La/SO1C1qbQlCz5TokLtlXbwaQkCjC7roQHUzGDBJ4cKw/bSBRH/QCEdwD29411BdZrAZYzGvbZdA5ecOxURNZKZxRQXv99DjtWZAq2WwrWG6lJnnPwj/0XZMZUHQkA7J3JN5bwBDbMM8qBMOww3Bv4Whd2fGPfwD/rD9wvfNsbe79xzsb/ftNwM2RrbXtxTRuGDduVpUSGKup1ZNk1y4pNjrcAzqYT0VGzGqjlpPNUpxT4NwIrskqiNDHPFGoPMdiOhqh7lTBMr7ylJoWiTuoD8KZCk5wlW6cZlGF62ZmytxUX8pRWGT5UdYVoyotPfKmMPSseNe4Rs+HbDHTe6IjHRchwzC62nH+q1s9qhHDi8YLPkOPshWJ8ht5DwyDVT4ZbbpM1p68+Nm+PJwNRGq80waebpXh3T6WBuHdZ/Fp5fQ90Q3IhjckbBpQjNrWYVfco6Jc/iaH/54/1wwq5DEN+y0dT62KfwQYimJnCwh9FlJRc1rameAqCyKh9E2GmzpG8h45XaqARHBHnjguGszLpZa/05p9jnAaVr1kG+KV3tHlVHYQg30AwfLcYkWA42QyIi5rVwOUDYKxfIdCJIdoTYjZMbC22tSRNuJr3y2mCSrCqMxzpgOJD0oBDyQpAarxlqnWItiE8fAAat6SPusQKLcWtyq+jtVB9UUrlLK80J6Af6ZFW/5XqnwSbKYIxpQ7aPksbNF+eamKKgWzA4IwCPMH8uc7uiX4GrzOa2anFSHXMMhXK1+gKQxMZDDVsHqiIX4SrhB+9WeupXAr9Mz1ZByPyyzdcfj24bzH60Hs08qvRqtnP/M0Hkc3vSsIZVGNeMC+nGVVrPrdUUlNRT6Q/Qc+kz6DWLBjX2w2wSMcWNZoJ16yyy2tyeAtbm0VO21mW0uDvOjjU2IK5C460fBBZsSrHZVaIsjdFpAq+HFghDWqYdJEalTLqND8mUXQ6ygeTFUhUT2KLsx8nFfPwTGAa5jVYSl5/bhP5cV4T3xlZidM4Q4nDc1HW08xe6WddM3FF9nz1XZcTbnzEACVTz2772XjIEUCcw9HEJBKpESaFiPgUn/1KDRp4mGEO5CYeHEiIFIyvo4F4HvBJQ9Ep3YIaQ4w9WKZ+Gu3O4N+cyFYSTzdJdeH6h2B7gLZyFk1OQVCSaJtTDxnM3UZGXoCMdRBH+RjyMTXZGZ9raVn+mxYQ45tiP+XA/ckqBIn5RAukqCUBd+k31V1LNbnvF+wGE3AvriY5q8YyZmC4V6XFAXAUl0w44yNlSVYTYzr1YJoGTbMiFJnIdacTU+Yh90ZGkleJSfaSBSMDAPWsFGNgbYMbI0LxPU6gbXPhQjpDffAIaQBe7yx/Q0Ox1m9KIacDVhEf3fLDh1x0mnRzqea/jtkAsKsvjGGhcpKl/WDgJgHguCi5aEOZU0FbXJOCmlM2cM/Yz1gjBAtbIn5qKkSWc3Ie4DVqEcSiA+2Q2vItnLYrm5UbsEbTkJPH6upTGHKnSFL3aySBNxTyeSwbATaUtCZK63Msnq9Q0XP7La8Nn+rbYHYFU0n8dqcqOyDfbeNZbXoIDMl4iDjThCpi7aeKHdaSVutIyQTy5yzhXtQKdMMQNh+EVQj78WrLhvzUJnmBdOMAspclmcGVzz4RuO+U9LaaAdzsIJyDRY3KpsMiU6RlgydqBAxpy4ehq5YfUQ5U6zcb+rrGU1jtrNnqdNDl4/yHSaQwpQQMijkJeYwSw8qXwzKexk3ykZoePMzoXFyuhk7AsUOpc7z6aAEUaYcsdzHk5pw+otZX9Z5IAoJ1onABpfCgrZ9GEgntRGKXJFN8S5lhilwuomf0/Y/vtH+0ZJ5YF9Qy7ARuJixRxqRFfY7CCa2Jj8OIUon7dRPVD2RGjF8WA+pTzidaN39kSPIZoSCyhaRkxW/Gm6EnjRcC5SAd0Ehc0LkDlcAj6WJ6gyQ7oGrC+TdYo7SkvMOzZdZEXBi6lx3P+mhgaO8tYUVn7WHue+0CxMd85zLnsgdjCrLAE1hOIoh85gmGg80p4zw5Pw2/QwpXOe4mQT9a0I0og62o9ffYecJYXvGBm4GfxNwen2Roie+qWKRGrXseHFJCluF0B4SkdfkP5ONpygeg+X8FuUNeTjVBjUFARNRGFdq7/EpPKDPzZAY4MgS0H+KCB1Uxz4CilOBPYmEn2Gm4252yWw85ePk5D4oQZG/Rxsp8CNljyTEtmmhMT7FQCwEo/AgD9uHI0by1iCqKScqBVEc+UJ3/GIL0IuhJmoZtG5WBNw5XnvdE9BInieaGCulESD7Lu/AgRTSkn4xJX5fNfgrlW4ZMwEWcUkJO7Y1LquNRDgPSd6LMVD9AznOckGlEPvukhBahzned7t2Xe/aMLtE0jRM5iRmooSISMI508CHUfIWEd7JC1U1+gpp6wZszlKxcmhTsaZb2bAoSnlLwpWFVTq8YiqiwmYDGzE9yhFLJzaDahGwgc8PWV0mukhsidoAtw/KfmvcGgKBaK/M1ca+foa/XlB5CuuReQnZCtAZmgISeT1nLgX1GWiX/5oY4hvvB3fDje2sW1RIZYjhZxise4mE5btvS9j0eCLtzeAMUwmo0NyArzsS0zkl9//CwzPBiZeCdegw8AhcyCpIMycbCo6U2Ff3pg/90AkopL9n8EU3I1FcRbkvwPN/WADpswiM1MQIWW6Wsajg+9JGpBfz8yEchj33Z+MUAvLI7FdsWA3Aw1deVDnWKiaq8Vf4uK42nj8iQGkB4m4gmGKYjCbdKoyNNs2C77oh06sGBs8EyYkZcjPmYDrwL/UR4wWtoAuy7Tir13Zvbv2BYWHZYzGNYy2pP56QyOk0ZkUr/Vm3I7PHvx4lYhpSVQF6wxI1lX4lb1i+x4SDdC0zeQ0/fcit6NA2wGSP6wPODAdd931ieM+TjGM6d3tBrLVzXwrm/UV4WId8BIg6+beMPItNw14UTi7XZG/scqmC7vNaGfA9WeldPBL7t4ArAQrZP4AtI7QGGHTfMspjGFw+RiSULhn89a/A13/7cgdgGC4fdBnjgxg0VLV+4kgcYB5Uc1g3Ega8E0Dfb+FwgFlFbyJTnDalQZob7fFNddwWTUOm4FnhvYyWY4XimdibRH3gEPF7ZqUZMdzexmWX25Y5THaKJ4kmsQQlMIjGOiLazSUXpH5mRlHQ4RSHU3jkh9gTwPsnwX5Qw26j8IZOpnBOesz2c0QZOZnmQiLh8YUVKsXu/cVb7KeTbUGlxIDqsK+kodf8ywBa+ZsJdACduZLclXkKGI+epyFhCxOKbOOR4+QW7nD0tD/y9gPXK6kSPbGu+M418RwC2sS6WdsfB2YBGhQGLPRnaeZlvlamVkQtjO3I5JGFMUhNDsDsL0kJDVFOt8NeCx39D6Y62WuynBkKY2kJYFryZZZm+uh9tBOLfW6+lGZNVk0Hn8rVEOQz/1GAHS0KLyu2mVJAnXwclBhOHlVPJacyQyTfu3egTnbEmZWOmSWqheq4hubt4ZwClpUixcXr3czDD+SgmSU6q2UUC8AaHadvKfAe5/hnTzosP17mT5ZKYDC2tUuJ8a8UfnL0V83mXPAZR/21t5akF5NfzoTzbePo0DX4sgL/3mHbpgGPuEDeZVQCAO1Vnq7JpHbNW2YgujpTlUE6tcNX7xsFiLlOxBP19JskPpysXqffqfwDKBwawSe1hItrjRU0wSo0BJbk0kpz4c1pyR99Z0O4NF9K22SUoRMNkngeYl1JMDjLdh2ffpkupIRZS0w8aMwTzpMNkwk/sqBWJj3om0o00AShZypIBXFWyaTCsFWlrxUGcjTlMU0pUaaSBbMSAJnxIWlgu+7jq63NVpUHYYADj+QDS/hJf0mQZ3lcwgNFTHxUD3Zsqc7AZpWdd9oWL/fcONsuZjPOGe/BFM4yeAKxkoO58/ESMCuLVHqY0AIBjdAJaNwSBCEvUyBU9EK8YwP7ltzJRiDmTqh9U8ETIJwPpr9l6XuozoDBetqontcVBlLlmJbXT4ZeEbMAjepLCazKBeLx7bH+sptRFIADVscuXM9Oh1UJsU/Dk1tXUtZ2e7GXFWgZvRyZVU3X+0Zoq9WnG0IbQKi0Ucz360nBJRqYuwiPUV159QuXjHXpeIHF48pRihfTd1MhvaqEQ7CN9VWtd1YJdw38EHQC4zFd2YGXMXq2mzslQWzsw6ujLs40A3vtu6eYEQKgH3sm5AIdlu+V9bc+t2zNVqKQ9I5H6Y4QQsdn0AaW+pZp7D0Zmiym49qHhgFoMSEa2KknFqooq6COQxTizJYCO1QItZRqdJ1J3okdzfw/TkLC6q+/5IIlCrCbSRETqFv+DBjDllBhXYPQhYLVPS3qtLU970dSgxQ/UGvxJwXQYOuP3TG5tYhswMuh5ZK5MIY1aiN7TXXttvAejJZbsfvKtdLpS1UUogYdtTZMuWQBIXDnRGlIMHJRZcvpvSfjjvOKTbROmpoNrD38y13baDp2hmbJ9gLSgjXK6FouhlpXdgZpyVNCk/x1znuVpLWS898p2ZAx5WSPpQTr7/IHgjUhC3vN+w5fjyxd8UdU6B2dn9de+6Q9IYxXuFy7LLi7pzegySmmOko52WmWjAUiumJzXPXOgT6THftPMqAIkM2ajpzPJArgi7eSNgxt3D0Z48Nnes2HYIDq4QbFdazUlXePMi4dlhnkTOnFmqL2PZ8yY/UQAlISMYi6flP/UAIyYnXkbBplQh1GGfH7rOJJ0mQl5Mb6sHJD5CsP+4XwcSIQzGMAv3AmTBJRmnPCXgOitSDwGVF4eyESwTBvmXt1ZY5//zpa/I5HDn4BEi9+GWZN0M8Ze9+PwH3tpLjU1mRBHaG4OCjMypXqFHluPbLOnLjAxkBGWlpCK/lsyX+ANmeRRRmwhkwHXPuRRlk6dmzZ1Urh/AGBuOBezIwlL/QLMkAcSbIOlzKt6UOaMm7NjkNGRNbivfFYOVByzhL8lYtqiZ5/MKHwcnXiLyeo+rYrpLXGgGakgshXig4gZC+bqgNDhxga4P8qln/Ysw1UzCWYAACAASURBVKTWRN6J0SRc68mEff790zzggM2/PCTv47Z5RMacBuvIgXl7zAHDX/Z0XEhmW0p+dIKUVqx4v41/94hPd4PqASfT6kU8vbj8KbXMGFBqn0yGKYUbNX25Hp3O4cxbEwNIBJcB5yvtfE2mhnVHnFz05gAckID4HEpDVcVo3TXNVzv8QZ+Tqci8yB/lD1KofB5XjGc9SG4W4RgaQRVRkYlU4cXJ0NKB/GMCsqGKg65zZ/zRV86IO+lRoTRYiHNzra0eTwTzRU9zBM59GJfMKS+2LvzZqUXcuJngY9VLQP6AuT9ZHILRHE5ZvescuWEG7DVZJYcDJle9jAwmTmkxRqSQY00jsxOQrYkU8gZgeCUBAZBfIFE1vbvTvUi2wLutvspDDS7ZedoWjps2ftQ9UxIlQQz8GmijRJ7BGeeFSiEuF/A8PkmkZBDSlhY7Jm9eqLM4gaoxDygBTAC1B1RgUvv5fS3qfEBKO+zfyv8iBmTIlmYhhzQw1P7clJORdhqcXKvJLF7LsfehnyAAW2QSqWWc+AZCIdCpy1BS1m/84SuoPcgWLgVlED+iELr7LSJJic53jT/74QgsZiBdW7Y/18drdxgbkeoBNDlIEz36qwWQHTpqDbjinCzVtPSo31QLNZ01E16SUi18NBshQq8c2hbn4MZOr7MD/royBn8FjFPSN30KInTDeTCA+viT8Qm4k7clUTVg3MFuvumAXAzRfEemC1/MWLzZHDnvWny2kFu2fSOo2RcXkTFidT5IG3xBJb/28a+kfMmLPmFjuNDR02UfXPXBCL4fe/9hLsyz/+VRAm9lW5jV3MQA8McMtxk7PVvmbxR8UZLrjNfIG5C4nw1NjoR2AEutp4La3mMHuZrWB6ykrjzbgj7guDhdYFt3FdbfbEg/E57qPJEmzloMb/OMxQBt1FBM/NJnCqHnR2W2PEuX5tBHkQ8jE/CRyZe8q5LCYNLG8BFt4e8YYgQ1WaejzxBVpKXEMuFcoAV0pkBHRZcVZncEm9UC13ISwb2zSaKSnz3V++zlHp0MspMzqogi9hsA2LILJWl833A6AP+4Yb0u/GWY7QVDbOAbhuv6gt8b+6R/3t1xWSJItawDIwueKk8AiJP2TYCymFLVPWe6u+XUndcxZP9ghYlYP8fkC8eFc17Y5w34G8sX3P8bOMA5/wf4PjmayhxhF25blaXocWe0xMk6jsM5BDOuwHkF7M658o702B53mC3mUtw4+411qXX2oTa26PLYLG5R/ECGRDvjMk1hZVxXpd11DgdxXjDb2Wog2T9ggeVvLN+A/YOLWsp3elL5DMd2w4U70ww2Mit0ZZZcrhc4J9nYhZ1wWg5Yqp477oxLVyGPZe59pdMG3NhW/YgpO+AHdxzcsfEP/hvb/uLGDXhg4Uq/RGSI9N/9XbF5EUFqWgtmX/i+U3Ct9VX+iL27hj88fRzLUjN78986B/8EcMDEM6RGk81LlR8B+GFzk2jvemZVZuTBTlaLmF3QnMpA1rGkkPBSx7Nwj9zgZDZlJqrl+efpbzrtpYk4brFEM1xV1kwiicQtj6fjkbyScwHGP3xwvWBHHvV9aR9KPFJHxfTCDNfgZs4RzT5e5pDNYoizmWfk7OibiT1753CR64vSYm82mGT4Zx/EtkxiGutvn8tTJZ8ed5FPMoSM8xsJDfBKSKm0zYoICDyGmgEnajCGemhxHSTzuygrpauIOtVHWM9p67oljw24D5nD+/NTI9GfiV4lbYwED+mVJYTH2n98ftFnylPeqmye74EiLG0qUV2N1VK+nIEKe0lqtyYje7kSgiJwRzaCcWPOL7KJazKATL/KM432bYWV2fCLCH98Dm+qiN/QBuruKKWwJfx88gDhpybR+aDDb1DXEL8EdSJwDJWg2oAVvYFugIErBdnnJyDMyZ8mgxSOXVOhFCcSs4ah4tfKdJOdF3bKrp2OwqDqklIP6azLeSq42AknGUE+7fv9ZlMYSkbPoY8q3TR6/JV5p7RHZYAtaR6IsqZnDYaPzfcyW2/OnIXDzKgFdcHtIhxGQ6KB7ISemXcve/APVPdOZCSkT8Ue/zuU5e2dGERGlvBMkEUdZzODxtaZUFW8JACs87iuniVP6fSq/fjq/R4MVI1+UTZzld2p2wNVdyGM1T7i+Q51JjZqfSba52Pe+AsPZy9/RaeYIB6Z2fnGrpTxS6YBHX8+4jyfrG5CVn8Xzgh8TZQTfsIHlMI1GcN8gzI2k4EoRzFhn2bBmEBBwYXo9x1qJpmqPRrrkvELFx/v7D8XprjNxUXdQgbwkaIxQiVq46RxQ097Tt7sfqEkbRaJHBab5FKWdY67JN9mfXfwHXtv1Iw7C+yb3uEjgk3nnvoAqJRSPuT8f+AOcco+3AG3WpPOVCOjE/CHNn57/g8z3BppBKM9vufuLZCDMDfjsJ2L2FYcD1ASwtBiho+Y60VJkE7mmPvSsf1E8iGu63yF5j/l1efdj0QE8Fzq7NEjrISsYJNRxdmlUUHS30pTSEbZBNd7aul24htOP0sgW1lmAdyFDPKmR+KYmDwdlBE0oZoB/LpDto6X5m0hPbA/03+Xv/gpbcVjRcP9gqf0f8DWUlPspjH91PIJRODQ36bwpz4qg+4nloxveR+oZwvGwYgfULVUKOAJly0FQIbxQC9spflyDp21D1y9O+W9LTSJw0hxjA4xfcW1LkQc3HtjnztHWBFwSePdVqnuMwUArKr4ykkVrbpVTjg6sQX1+wZQSnNqAOfQ2ZSdbpTnJjVagFTy0CN2YyGWXHbpHItJkEI9fEptNqOkaUIx0t5d3nMZLc8mrfGxDMREwMFFHp5iooKNa/7Dp6oXZUaMRyQM5Ew7FSUATmWeaSBKfwapWyJ4kGqmOWlIx+TiTtNkOmkShMHjwoqVXaKfu5UQTb/CGr8fK9DXE8GKxacLRWAbLLR3MKX+eLDwb76j8eM/hLvGjh8XmPxa+fdyJBa9NiP9eGN9n1f747elpRUDCEBz0CeiCdG1+IyjZhGOh2c7JfZVLzVDRMCXZ/PBkSpSceZ8nyOjCHEyApGNHjdt13Q0rpUM4GCzb2gi4gFPzUfTkrFVaQT7ZyJD7bOSW8RQaid5WM600jxYkly0pAnQNmWLqbB0gmUo2pFtpU4zkeLNk0d7Ebz6Bs7ok+7re2Y4DRWl/lQJnsgplWKSgkIt898nrEQRY/VyKfhYZ2RORIdJFSkhgyvNg4yWCxZCZt6JbFziIs2CZQs5gUJMvFODA56p3UFNivenmQBk2TjqROfuxJZOMcJnxEQ4tR4EN8EhLWZAahC/vi/ys0/4kgZsHB0BIlqZIVyAWnCDr4W2XlGrwuO/vbfWAtQo5NESrKS/1mvAKIxNgi9sW2g7Y0R0B0BuA644TBDRkKuMMwdB8IJlo8fBEI9aRVu2PJWqGAhoYKcJSB8EXla2pbp5HvL+J7p/nzOGRQ5gKmUZyXAq+Wa87wC4jHMJTmJGeMCXKgMd2OkFPkTN/B+ZE9oHIO1g4BkCiuNOeT+cgbKxRUSoGz/UUPRFkkSssajQTX3mg85DYehnW/ETl69Gkpx4EGGPsyBQiVfN6KrZabSHHQa28jZghOsyfNp5J7fdtZ9Ve1DeO4Azm3L+/nFPhl3aa6B6IGykszl5VkD1/go3CrQfaPEwPYtcYlCa4GTKtUhpXtEA3eNAzR8InonOWw9+oL+N9zY8iq543MpnMCMD6NirbNy+/VgCYJ3OntKBTI75iULioCitwGrx896IyHJMDtEKGMM0eeD3/ab/QXvNsc5ujrUc73+/e9OPHIOUETPNoGCqMwn8X8becM2RXFUWDVC6Zp33f9i9p2yJ+4MIQO5e51zP11NVtjNTQhAgQJB7/WLKIY7mMH/B8K6j1O0EayvGlPjCRBVd70xPtb0K7FTr71D4Kz4wwP5eTpTzq2mvIXAWqtPQ6z0IPNSF63uhxRlPmRfPm+iZX7kHxaGAnT1CcHqc8i+tFF/NrZi3x2dahwiePmXkyBzZFDbXxqnpA4FjGx+W0wb0vlyroN9h0u7vr4fl3zILNsn0AJX+vHefFpxKvJVfvwL9+f2ZrKC+QVl0JmhvACjSTOGuB9IKIJieTiT5el7zqIZlX98zAE+8V3aJXUSFk8bWITJ9Pv0wuPLF6bmMAGzlwNVA4ZNe+IM8Cfg/nrvEB7mf/UVuDbSHf38+eQ7bAV+Gn+U427A/TEhSHBOeCSx+eDb74PymOaiyC0BmrP2Caa3u8J1n4w2sAuPpVPmcFMQHTx5ZtixBvveGReBxw+Mbv28hMM3gJWbMxIxNwddx07RmA9jZZny9PLXIB7DteFvgbSn6D36wVEreDFjMudhZKyCz9DYQae6GeiTYQbCb0+NOtlfXH1pi3Pva8rT2w6BkAAPSe48PfoOAL43t2nUn1/hynPeHWZ4Ofx74y3D2B/vzBl6dTZk42t2bD9hNCkoWCmBvWByocm4YOysvWUG03qiB7WRPw2Xkq22Zr2IHPyuwAvjBD2CO/8Ebn8gW8WaG4xtvNVeNwCycIcz/7IA94vGk5Zspx/EBlr8yCQnpSX+C0RkppScDLc82VBkGN4a0A58gQIaCwS2QUjp1snIz+nQ2JTtgr38AZL7H6kuqR8KjQE7hszEZTzTMJDxFmOTaflM5P3VE6htHAriDn9/fCUJB4pczFVNmlMobf3ja7G1dastpfqgfXxwOWGapQiGRBSukqY9JQxAd41T3VQxtn1poZqHd49W3tTlQEkdWkbHqkfdmOeqe9tCU82zyRaqpLw82C51owct0A3KertZZiv+K9MYFk+bpVFtA6bZt9cghpDP8ldOP4QUb49Oyyj6xsa4z6+9BJjqp9mLgcDsm09hrzDImEmC0Dr1LVfUh0SuuVOGxduPnqbPjOaCwqIK5OvkZYw7lTyePyAbQ+OQwLmUbkTyrtEftbSp9YsPHmO6oOsvWH35Gf5Q8/16mT65E1FWypLQRNF4jc8mg6sfzNW02RJr0sddXZCb9RPnI6HWZa6RfTABQGUikjDzGpx1TXMvblqs3WT9Pi0QB1tIoPr88zauOXXbzDT9d1WeWku6C7ACYZgwbC/ttJ8k8KpYWs3dP+bohCXR4JNSRjseDwDsOPp+NV22yO5CSZEpmibDizzqgERnhDwFgCCC0H47eHjmYFRjtyCQmR+05c3y3+diLIsa36xlGMLY/wAmQqwyYQTLaEaW9A6lp82h1qho5Y7N7kVeYWCsqZaZ3VSwsxyWB0LbiWg2t+AUK4XF58AQcai9O/Cl+mwIv1q75R39WLAUd98mwYYRAlHUJncdtNG6uS1pbzGPQgpVXPqBGJECUr7VZNerZddwYVv6t/PLYvnyjpOYQdIwKN3hPXPONPy8eN3zg31/ihwfJXEUpDlpyXyGrqNEkGhrRJtnIscqxo5qdMjrmNtWU8miGsANVKvp58iCH4sXwdNxQ0vAZumtqDwdbmLV4YFoC+R0uF8051TLM3oAHsTdgqil4eQ+QizwpF6XR4oCpxtmiSodXTII96Ok0jxOwu4R2yFoQVtEZlN511Disgp6MsYsZBbAsnwYydWuKiw++eCAwKWpyyKlGRPCsyGTSsQiap3meFlRcPf0y/QSBQP993YZ8IX60lgvDKIE4C46mwgpGBGRx/o29Nf8wbr+A8tHIEx9D4xn4Xa7bAmARWDoE4cPZSd4EAh+fMHfnqjQMC9SjBd/HvcaKxPV2VBi0LJ/pkYvAifel8a0FGAhk+3BVYAVkhjCx40R5LKWdNBVfFCtemw0cvjE4StsfYLQNo5AyLORO4aDjTMKfZtpKFVkZd86QD4t4SrhDxNN7+YysBNQgILFZ8NqubET2zNNtuLjOpa7WYfCur2d5IKM0rCRbmpxRtvSGD+uKiyC0lskuAShx4KKJidNJdMqErY5MKuQip1cJIQOuBID2yVc1OsgxORnNME84AmaLjkql2kog0hGrAzpTePXTAfyOz1JocAGbPg/cjrUyu9u8QrvSoiwBgL18QubvYHbrew7MhJbLkH4nKZRzlNG4Sti0bKUJ+czyoVaqriYfNbeKHNn4qj4OvnENCm2mfLsZB1hfEYeh0Nr+aAtjRrb+VJPI7sAqilnebxI0eJqrzCE9zrPQAjzPYsfuxgrpzXugstV5zrwJLtNlm/IGTEua7Ki9rBssJHBAxKbD2yrOe9AVf2ovGOg9oqGi5o2japbhcOTZ8yOPquZMn8DjPNDh6aOohVUYTEJlisZH7QeNqyxjpRhDFhqB78uDhs7cS5ApnWk55qr2ErQ0cKrteTG5oxrWHBLCGfcvk92S6vuqOScQGAKIbPhZZeOGNaQDYqW9pfia1Py1U5gMYBUe1LbrO0Z/vWgmtsVpDapuyNzAHMMif6i6sfJbiueHMOr1ctUcSLAMKPISdKLNC4bPgo7BcDX2yDVzKcvob8uqsLpDlCp3pSEWJXWFfm8rSzvzwpkAdqyx9csxZFIWt3h0khW8f+HBk1192XrJjIk9FEh2VhEYVIHDY9liOg7eOwEg9ieF1x+Ynay4Z10vx8i0G5kmvKgG3Ds0lmPQ6X1qKjeGQgN1OGeDKaEf/CzliCdFqqWymnlATq1Nxr41XB4isWoeoSiAL53Kc7Z8kpWEdFYaSuvKWjv6v2S6LAdAlXAVjJX1kyEt8GSa8Xx4lNUQrtxBrrqlY9IYm1TatDL2xIgprLQhvoD2YqhylLYYti2Q15yT0ZEAgMVtWqR/Y/ltwSAI7HQkZGOnqDmU45V08sGQ04oQCMkKrYIvWgN+IQ67U5NmS3EQahy2CLxEaipvZ3QgGMoV/YyaShEJZcm6fD6UYTcnRikPJqjlrbG99iKogegzf4LhPysCZpEaWRzjXy/vANtg1GN8pYyQyEQqkySgwEC/P6lJgocyHKoCnEST6R/QAZdkGZmXedI/DhEnjKESOmCIrNKoH6SpLfdgak85W3JAiw60pScp5CFGkqWimG+0WytNZMZW2TOJ7UWQ/oi5X/KyJBx5viD9GBmusrVSjcrH48E5iopWQi5706htTQwEiVeM+v283nIcW6MrJrMS4MmsrZ/nSQLdsQ296K8nU9LlbVyfGQXIkb/G/do8bIN6AICDNR2NdMo8dgmEGC+QOIUDPPSFyG8hsNdfazDuHIX8BvsEYkUW0JBVfIBQ44VTnNDWh7WylwE2IW6CARCsX8mmocAlzG6ZyFY5G7TJ9N5DdazOyhVi1FDJEzmuof3lKLeAahMAiggBV/RprukglFlgWXaEXs7aiszKVIUgN+VNtEKcYPKc88mc6/UC3LLZBphhZYEPGUd74WApLXySMOsYDhYO66Qv86zh/xjCHef3X5CWCIBFO3I2n5qVAVtZbwkGH6KWs+W1fAFnCL7D8Hv+F84Kv2FSP4DbwoMHsX/xxmGhy1WFOMIDfgL2pIY8mRjA+G2ake8D/OzN+O4QHM+/f7fhH8sSI2+a0ms5HlttFXikAK4FU1Wao2YgQu8Ds407bzGPabyUHkv6pQLMLMWIwHNkCQTDXoddefIk4gGqFVY21mh9fwC8jKFYCsE5+j1rOv6enVl5z0+e90cgGMt3BBYyamJxqE0CH1o3r8cQ/mT/AyRTBwUhfQiGD+u+G7KOg4RJ205fhIKt04KhOmfAdnwceKgNTwTe+IVbzsvM8T87+WNhkR7sR4BFa0EwGnjWi1mEn9zePs/obQhkCDQGoAPbVlkHBqtTdxkaz4o9cohWjoYsPgM+HyHgQWX9FVgA5g99HbliBvZm4DtOJ3Uw7qkM2HxI4H/j3yqdnynV2Tcgz/MAz8lMHwRrr52NNkOD7ZsxagNKO4nBjXs4054uuwLHJ3FSzTiPQIBNBrWP+Q+9p8Yz+YpIdviOW4/A0PZWwhD+ILA6i8p49ChOZjG+Vp7rUYBLbmRlNtJZZkzjtSFpVWVmsAnqN77PykMP0lTNLjIBmdt2rMxJbushZ6QjE5emPir55yMUOZkfzdeSANsYIxnMMJ4XXhoCkHMXJWxT+yf/5f1eq6vpqnpuaC3/y5js625TcU3XVgDdc8/Q31Q4lUACmrqgVSpnpEJxVvdunS/rZdWGT2XubPz/ZFs7yDutUeb3dcpxzkTlzuxryfT6fru4JzCau/R3bX5xXjDu2L6ZBM7hdamf7eJO+jU32CRf/a7N4JMbciDr/xviwyQkmzSRAB6UGcHnf7xHm8WbkGbZmQ4VpBc/ZKY167x/PzB3LD+ZdVYlw2ly42QGmLzrHHgmoxjCXyX8mSjDmG4OAs96soEji5dW2gjDcw/j/oc2q7Y6vUeT6XSPW8Td1NBOh5ZckuW83obOiyg2Sh9A3bMXdD4NUMcdoGPM/fRLYMYzlXMARBVnKenTenE8Z+79Y4ayDswCP73DoeXaY51pPJORb0C4YXMypiHwY4qi6DPry0LfMiqPIJD3ntfL/2GkDMU9JC7sfcjrFiGjvEPnMDyhxBsK+XC2alIdCLBqw1XySnBKrcz7WGFZAd+kVfLBoNMU/iJDh3mtqNF3y2PQUihWpzY7wChAlA+NaxG5ns/yBXsM9hjiOGJLkNLxdbjv1QLIyyg2rFpwVjOngOZ+/2fJzDqlCVHTQabJ0hTfRhOKMee8JvegCQKDgWRqKYRoStHkYE4jn4XB1SNN3Gw5FmdppmO5tdgML+pZawLWpYnzj80W6CmAMsUa6hWGBwQQrLUPKeMJDIOphOIBVBFOjCjB0MYYv9n1d2v38tgfq1N3+VpfXGel6YEpF3peXOQIdLJN+a0EGCDm1HfbgiuW4d/V1xXTuqBS0nsR1/wdwN5nUK+WFYB8DWxDhy6wIgDIrtYEvtJ47YAzOpUTfPNzOdwEZvSbD5ijX4nOfR90GNjZPr9CgwnmupcoJtAS1znuBPhBgVob8SUdJfqz5C9B4LmyNvR7dRwF1LxSJmyb4XxQVXTRTJx7lOh+cwBLfCnVwrDo/Hh2pPVx0lGxzSu0ehCsRyCzhyGrkby0vA0/efhzT8Yd15tX6/yqGy2L3Cq8P1kk82OROd+GOihn2mwVZ2mh7NLIKRNGN6NT09CJpaWM4LxYXdZQac0KdSmEGLJmpLfIKTpKq/UonJdA1+KiJLLWKmQZtBjWB4P/NFmt56fSOoS+/X0ZGmK8GabSZ1ULYjCrD2HEkN/LW89fDgtNNM/18e+Dg9/Nbr+XdhSaWJ6FKMERDE04mvDLuev32lZqolY5HBpkbVUHrXXUVlvaAocmwbjtn4L/56stvgYa5kSE/h6KcQh5r1n+7tfcgWfjsCkiEEFtXXdthgp5p2GXhzrz6EmUD5sOWg/oszfiZH2/zYoLbobtdB+5UDtN/mAIT4eQZf4pWt091vLCxw4dpmLo1LJHcdfdbjXTwAyQ7/hf0kuCnxiRJrq74ai97GD4BAdwj3quz6IMgBz9Y8aTf8n0ahQKqEyzFdgYhnB+q5mLSVGxbpmqxWZDA0QlZoke1l/geLs+72RAOZLUrUf/JnP1OjuH+CFtZTSMDeMfoqa7Hzog2Y8VxVm0jJQAZjCW0j7FKwiw7r2AVcThcwNYIXFvO6SDkYZjXv6SJkMDgDLr6kCcvqczGSaLQYVzRYMMDytzsKyE8R2bv9QATBP4olYPMARiykexfFehcKAToiJ4CCtqcyTuQFjQ1UwBMgT7tOdidyYk92BkStU5ywYfUQxzABi7fGR6K6sJXI1D80mOgK10Pm7bedTzNHordnowOuMaAHOeGZAZuXObwi1Cn1yMgt+MbAbC1IP9lLrJklZRHKtcJr32+QYAaeJ0mm7bWMGsxsgtQFXfReDxRTreItBCoX1rC2ABTTFCA1jyRe9NqyX0uENFK0XHb/C67j0BQOKs9zOcpK1fqbAbKzq7bb7HNZNlplkPlQKFgyWSqpMg6AcAO5Ge7lIsBNSjkl8KOVvtvRFKFONao30BXZGBwi1rMs41x1I0MkeHGm/fQHtBbhHt9+TDMXxr6/ynfJhBluuG03ay8byit0K7cYrucvwCyO0PfVq5oqk4D9Iifdy7gw+U8QZUb2gxXQp9aqbpAa468sfI80Gx3Qg72OuVpj0sO/ia4XGHPQvZl0+CQeGnwGbCheONd7KDJTtp4dR9SIh2GLXIrkF5kwCA55VHUKHz+qJs3ulnGVua59iLcRh23udU+FZm/0TSzz54gCxswi1URkaylv16PXmMmURbZC5VBZ5Me2uoaOUQPexa/NK+IyISlSdTsvrSHkbl26x21bz/sCqoPdpZZFhD9tuBKyAiPYo+ddsCHMXzvwVEvgFA2t8qIqL5WrB+vbWl1BZhbqsW+Xe5NLRjBx3HZvjg0BHtyL4QWVrMoZRyDvgLALQlVu9EaNbDnM5vDm0x5qeXdjjKD/gDKLXsk0IXJpTbGvNb+ZW0AkTDKjAaqiaddNohm6FvzCM7eJarLzk/YoBRGubzye567pv197K/+HLAV+B3f2CHjGKn86fPwtovfM7/QKZ79vnLfgL2zgVfnrvkjYV/zfBZB49tPOFYEfifjyoekIEdiMO4sgO2DWY/eB6D4QDnFxtv4J278Hj9wtc/cLzg8WaHmIWzArCDeD/Q2Xog6x6eHZnqzJhzLyCdaDG2J6oBaJYlsu3UQZ4A8H5n+3BlIByW6TYzvPLEP+QpcE9nZRzLLRMCOwsVcwCnwpP58ySAHs/69GbwRedWtkrGDtZ0PlEpq2Ed2vt5MpPuw/7RzkhAbokC2MDJQgp5dPicbMJqJ83r9R/EzvDvcw4+AH4te0X+xx2bTWaALPF9kPkFjgWLB/7zpAVFBEtLM3hIJ/D+KMLyzhLolEE7Poy81OovexAbOO906vrLsLfjrMwniQ+AWNn7AYB9gLOAbSe7IRktSP6Xtfmtxp9JawfyrQCG99nQvi+L1eZnb2y8A/A0Opnabp0l6FTVTGRObDVw80D3AwEZoIXd24xgtCt819ZZgFTbxK1WSAAAIABJREFUOlpGZtlnYuyxsDIdIKsCo9+/tAsia1TI8eEAnmVjn6usQB0hTQ+ztMLyg4PXFyoqnJdRgV17q9ZnJ042+ow+oCHUg1A7wIqufoFnNshgfnYY7DDhgsx1984wZoEBlb8dIjlHxFLm/f7cgwFn5/g/xgibUWClvdcZTrzIQiLUWq0Fh+lG4tXBKEDbzUpCqXCqUqOhLRf/rsJ9Ilrjf45EXITK4jR2b5b2nlq8fsZYxyAT1q0M2jsZbNBSz2+DeRr5ftH/1D5WV+gMw+RRMYPM/n1yHts+BA46hik0ZYKjHbwhVqo/BpOJ+aURi+EH4w86fP89/XpluXybBlGLU4/ttZLrtC2A4skxvpLpshRLQmoMZ1hl3+PMKAC905rL/AcDXo8xgT/P6ycApMm9T+6tGEG/9ups/IsRGR/7pgE6Q+CSybLsM3bQbzCOu9KkTM9wagb4qBpsyAQfC6nN1AimqERel1lrKYRqhRYUsBOKoHIBTuNw4XEBFjJ0itRax3KMh7HRXIROfMrst6iKLQ7gNU4+ekVkAMPKbdnpApuV7hqy0HLSgdSWHfttk3mmoUsENfwA8P7sur/gpEKsQNXL6xeFUUumeGmmut3yc7QDb/qpGUmQZ3Ccmr/rPkKsHYEqIxvj2Zi+DQcOE86IFcdPVhLaPCzgA9DIIsE5+GlrDdA2UnMQZC20MxAIdprWPUSXxG4jj7VlKG4JtDLVehzrcdlI1dYJFrdV/FUumEqUyueqZ0UpnbFUqnUwWIBzy0k/lzD+AROALWMYkVaAWbaH2lxUQ2WhGcC4fF6zXQKcD3BpZaKugd2Fc/ZkCavST7ajxiVEkzNDJJ0+Ggskxx465JB5HiHzWSYAsxGrIaQEv5iwX4epoEehNqNG0f5X40fnRSgtE0jLQHM1Ox1hCKvFd0vDT/J/jM1YwrBOJut82Kcgi13K/6EkF5r9Elxqq2oG0ar/D0fUGW27MnpSAaY/lJvNC6XWpMk4+Jn1eCJ4irIBhR6cGpRauuco0l1oKusF8AwGcB12clT+h1J7a1x0OhxukQCreLyUeAjUAsUnmluOSrkvol9wiszzGOZQ7GEUaKuApvM3HfW7z4cWNUqqSwl17xYxOteGz/fashSE1TMSOHoUGl1aaEmER0tR64oCh7rL7escGBPB1srRvdF4+mgbsAv/2xFknHybKPl0J5I51UeQkeRYw9cIimR0s/bIaFQ7simkAepGvMwzEkCz7oRcaKWPoGxDObY+Ou/OtdGzpdNV0kna+TA8V2bn8dr3Va4E853NDBvZmqyODXMiToByP/iM2HMMbiqD3eaS87NKrVbPnIHuRePI3AMBztiONW8OFSUtw0eaNI61bdEg0UVcou6ZzilRPIBq/XWvb/rsk27nAv/WckngHRvBLMyF3OtuWks72Pbti3dorECVzA3DCiipKTQgXTj3fvqgk3VCGrQtmhbVzb8ORiwsbsdn3dvEJJlXYnwG8prKxrTZNQPoClLWvri58kOUjH6dZ7AFH9CE5vMG1bl32zm1RSpmv4A0e9JgMJ78UzPHIHEOi2g0C6j1Q54YTFQynpHulFaN8hQjZJKOt/VB5lX5JkN68t8wLI+MPJwUqn0+pbwuzy41PK4FnD4IcUlHQrS9qGiJxpfkwjq3hglL0Dqe+9+NdC4FkhlKa5mXQ87N8+DShGJqW62VFweLoelzgGoSSkCjQT0Cy4JHt72Ev2v1WUUXbiGyqjfQvB1FPrJ9KWTRV+MqwMTB5mGvFuybvrIqLj0g7dv6hVWLvMz6MxZB58+UJHqNu6ykqUcVGra0gCcIai63eu1UjSKHKhVFyZWB1p/WxxW7F83auVj1HUTxgVBuo6Jl3AJfXSNMYNPDzBB3bqvcc25PjAvqcTXZRBU3xuwBnOhMvcfTu/0xVJtjESlLVe0s9m33PiQLdnCCsYYAJgBo4WMhQ4fz853dXk+eTYVJQ9BxpmPI0hCwhccjj0v6yvP+UOcaYyt0fZdMbAIsFouohWGUunodyBIQuWyAJwV0ta6YxqAHKnRz4DTtkypO/4Aj5+gHWX+BjtHJj85+BBhrNpCAcWwrLtAx0VvDOWPtKZJRa4jOKaholxV9ymdRwh8EZylSG+nbNMOZ+dUeCyOAzSno2DjwMAzj8oRyfofPWuZJRwfCTx7pP/kcd88zX43bxbuySD8uH01LcMfeg1WS6aeRdShQLOyYqCIHcfuMHEkrtcZTLQiYY0VapSc+XJJDGsm3o6XiMwbIB6J7bEylDQXMUWOo2oFSlG7wZXiURPdlaRdqASiTKQUmH+ZmWRbsPBWyUW29RMhsn71MBTiscuUDTPkFYCePtcobnOWMnV2JA7GHdo4MSTlTZ8858IdWgAcQTnO2C5OZO3yBHWYelvJe8EhC75C53tGLMp0MeRqSACRHHJtL4wTwz6jcX+sTFGBDZR8UvkFYT2YLLtCwOhBBt1MUc9vhMWYKj8zjXqa+NgWW+sMy7FodhNCMG0h6HvOqirRhXfch7A/vtRXDs9yb8LnWHT03PYOftsIeUQDLegRdKZo0tqRJtqDLC513kTM3Anj8AeyDcFaNpmXg5lj2ZFl1u6ZQWO8khsS/Ne6UpjXei1ZG8rgPcJkWADOxS6uLbgKD5HODHbV+UcHuYTXo/9Zr1nPI+1ZpxDG3PG+Sa6EA9xxb8jWw3PDAVE++TaDpcbYnz3NvFoDIsknMuN6OwC9sOf5ZL5xA9vj7JNFf68l7LVX5MSxbeK2F2IH37xufJ+BPmsraGpyzq1rqcR5XiFPnmh2ejjA4nk9mCn7MEjR855l3IqjZhu20YlzhoZVMc+KD2E5m9mzlHXkmXimctGFpCr/41ofM7/jB6hQjyyXcJPZCgtWhCfdwFU6knl0R7EkQCPskbNG6+Y0soLL+SS1hdnBsp9NUVZywgefFPIZAuMFWVuqVqX+QvpVVWZhR6dcLgc8n8F4Hxw3Pph9G7Ois0ESVfiydUovxbIuMoggcg+dGjlqlhSFeDyxyV1/1COLAzsbaH3zc5RIpEHYADwzHgcVKvUpc0TZR2vH3fFIUuNVyOJ6fbBJy8AuL3GL6yuQxJj0AyN4Kjz2M7b8hP9BG1jt8zKnwuiRaSxD9ROa1HaXoAzhQ1ejlL+jMRxjP4yOA80HExj4r/UYsIqls2HBuXSLTltRgzp0gezwTpSwL79JrwvqWH+z4ZDgYDwHWhtXGOph741EJLjk6UvNH7aHq6CG9w7J2HIkiSkxgmnbvOWQGy7IwY1goB5x7IPbR4+LP3Gnh2j+GFEp5lilASlh8PShN5AyAHj3U0kvc1ozO48kuVciQkGZG51lHzefObG4FIFPUxnv1Kl8rTYr+viyL3A/y2zG+QloL47PCLRmSGY4w4Fgyxtajhw9gDqVqKdxvloaS76Rr7qXgTo0xrRdEa3ILevrru/e9gD69rvXzMzzW5vipb/bLeR2/1FOy+8vjkz9esj6MVkkXl0yB7hOPq/RtP8DHv5rZFQ79a/7AHy9LmRA7pomGD7qgyGPyi2iO0vq5VVjFF509URYFxLttnfRWO6V0skS5t9rcwWMMklZdPD1MjF01AHAtgCbkp2QNQDoo0tmgVcoJzhhvIKrQpsifQCAyBOTZf3miH46hdgMchFObpcmD2upWIQkgLQKAKb4En5PX1L5YSG7g/rar9VadOJFR8+Ccj/W2Rx2Si0aDZkprtUG8bJ2uqyVMOUHn3vScTbDMGStscyyz95KRNFhDDC7VPfEFqskAtJBYn9AJSr3+aTUVvMWEuQY4JSVNEHDvcbgFPpH/fLOXgOUdDrLxd6+61f8LQE9bVAeD1/RTOHGvUr1Miku5UUz5/jO3QWpt/j38Vqb/fSFjORsF9igHYdDJ65Y5//lx/se+P/hZStE27HOwPYVWnZEBORObT2L8V+ulEmIlQz7W3XoOBC6t5zMlW4qkLwp0+aohXBeB5zXjcRLICmGliZgxyAM1ZU9nTFREWwtWcfRHXhyDH6s+fcK2dxy8LFtEKaYr73DGSNM0UbLLphAqzIgiZNTYta8LA7AX5EQprB0a7hgFtyjYzNtWVSNz5crRu7/lLCoQj+KxwMk+iZ4twJTQ0gz3FSMf8q3XmaA61kdWiMqyCwBaEw2jooQsxgz53mnNVuEy9E+3DeUptLx4MY5q8rcdxTAqn7OQ2w1tAeYEUyZvC2BCnQTJACYsxddNDHPfPXlAXpPpJG+6cnRfRJ/NW5Tv8gYU5+Lz8qVCLSrNVSBQj0ga7miBR63PXImhOIVFQ1NPfir6Rv/1qJpqadSvxVZLYliiuryNybTB3/OirtqDWmAdplD+Ojx73UlS7QtQavKc3TYrba2IjKoKZCXh1Ea1fSjhSOZ4+Stj7WdDlYcBQ54SPl8EbeBpD+9Dhkz7oc1yAHDs6VHTda3k67CPutS0Bzg1b2fKNR2lUg2RPRCV0oq2XKqSrc4TDEXf2u0vADfQuQDAUBZTbrNGWFbUoaYPTrK1ybzv/GnFKFOnCNzl1a7DMpBfO58vl5jKlejfl/7942Xjp5HefoZW5iBDhJpC+8WJGg8GOIpIF4nFc+O7es85twa7/F6FA0WrIIBSfq76GsXxXe/C+C7ALav4ruhtdXWthzUAiFeetI3oVOn5octvdeaWCAoEw0OB3sgqlVY0IeLVYRBNSjo/U31t9bLKcUcK5fP2IdNnyItnVvDheFekifgbUQBhrJR6DPD1AqKTQ2rcdFgZOFcJ1OAHA+CedfEVLOrchCSvq3ttCQxqrmao+Lpb8DAUk58oDHf4C0OKcyDa9rcrJp9zWOOvGouc9scU0yYn4dJu1s6gFjn9pjMdApvWLH971TZx/N3rLI2eDLom0JAfMiGsozbTFy8R07HVSXWMZZpKfYqvXf9sCKUV4gYJJeH6vn7+rNyIoT37C1G01iNkRv4DyczCsQzb5fh7trJB5P/KWwZgzkNkgY74eNHHEfiYIGEAsba2tS5J83mOQK9HqfTfxOVWCeCeZFEgD4VRudqdZRC1IhVWt6rglsyqAqDueZ4bjVhKhOsdoAihAx2nGkAU6Jpn99nIlNsdd+WZAIDPu0gsAa8WUETy6yDQNHEwjJUytwmMZPI1nG+XIJPhFtHfF3jApxfYhPpjbHPwBpQvJXjEVdQROL88j1mrmIn20VP19gak4/eLSf5bE7c0F0+wb0MJ4mCKEhKjsNuwdubgy03ITDbH4/TzVLnkoBdbGW8txl03qukvg6JoHC0413qPdUifMB3XLPwBF/tGbguuK+O6/o9VtfE9acvqgspBiSbyhh/kATCW51bl54oZRGRpfWl+WReWkagXNxC7RbzkJChXWlcpDZtzqZNCRiGL8oMAwKNTZ3mNjQVvJ5EI6Bzg6ft3TDk4+IGsDmTvPlvc8hsLO2SJ7xbmqAwmmdciwh5aQeEVQ2rWBw7b6WjR3mnxLhktAOx8UHFmskXKWhZJcGhrI1Cwiw1Um++EHH70JxD5H8g4tLFEomj+privaAluhyJCrpAhY0ONG1jGOz3HtF3gMHwsw4Qv60hLiX6hDBAx6De1Py2AD0u6IdoCUD6Hc1CX0hM/FQp/C/9tLqhHszPiUw4Wa4+22LaAmS8DmCo7nisStb4Zq/W33yluFqjqIRj0v2DkHnt6zZ9eoPo3vqvqMaX0xigM2X7djHwC5mRI8Rl+7VREABEXMITdvoN51KvwZ2y1RFN90+b/+DPBNMoaeOLNssiMRytjyJfhBYeOxQPRIboIIpLhRyYJY8ZLFXAitfbzMqjisEX6HCNrj+Ofx69S6IHc58vMTjk5PVFbBWQgAT9mOPgXKRwPThg8NrI6n2Nvx+ML7qoLn7H0c7pGfRzk4SbGr5PmVLf//gtfuVXJ5ArDOXlI35C17I8FQodWLFOkbRm2ZUFTOwF751jL4ZYtdwG8kwEsIyPPSpfQOdkUVb0Q0n+QEfKwjJ78B4Ztb9KXWmEbEI7FevEJWobPAeKdc4qfg4eAnA2Pgk1MuWd1eqoJ/NPZVRZaONYx/O9+Zx8Iz7XJU5F9+uDEvwlOkdGc2CwkS9pvO7Bgn4EDnGDd+pV6Yr8pt2QSJvpBlaCf84FXeFfm8SmgxvlB+x1OJlQZgBWIdRKYglGLaP0KpMMYCET4yA35kBSpmX+coWDmZyx7AP9JEP18MmfjBcSPYa2FFU8mt9Ep+T4fOOUiFRzg9mCZuhaozdcrnaHnFycMiCypl3z/SgUR/4vsBek0UqJUVPoiBLpZvwEGPGXJ0WoTglVyhuv4RmOPZKRhLyrEYSYAGoZnQRfzvuu6FHTpKBqpbZEUZvWYIO0UIIL7uLKZRFcufIdM5t3asfXfvrWdB4mIBwiUkBjzIOa1Quwy9qtASFQWZHuWp/qq2EFZDxh3yv/Jf6L3Da/4B4GosuYfMs0Hh2FHB+yUc0kvlfk6ShMb+8+MaAUzyb4pooWhotjAXC+QRn1VamAJaM49K0YBBEcYVM25ju4EgN15J3pLvym+rxQzdX+q4UE2WbefmX2K8w7Oegio+csNWSZ0OXxJ+XIc8v62eM3OlF4LGCMfZgcvPHiQIKNknGyYmfd8/tfwsV2hPsfCsoXMxcl6nYPc+fxIWjoyinQ7MvG1Gu3knzaMLO4nSPz6MIRF0royMfJB1x4TqNOAwUSaas0FOd3scrAF0C2e00uGVjA2thA5Wa8ZtfWBUHwbdBYaxq4KAGrPpFh2nXcvv0X+LA/3ZdrzoWGc35hyo19aFDFERDIvhjYyyzSRqSXlMGpWQqGvvt1tx3rvLbNQ4ux4oFP3+cisEKNYt03BHsIV3AvObfCYVsFqR5/FD2MeGFA3gPSM++jYanq4yydNXkiNPO9USTEsC++P1xx6m0Y7JAJmjtOrR5oY5GO/YK+1zPVWA8CMmCTiuy+CfkcEmkkE4DJbtS/v9UySCbBOnlNxTx+MBc77k36AkNoSD0TCeawscVaUHgulESg2Dul61LxtOPn7vihee1Q9Vx9q+pnHDmSXEGr38bn+2t+EC6eQdVptfuV02PAY7LFrYAC4L6sHgJv0Hh+1lo6xIgKxFGiRcRoVrqta+DjVKCJYEsho8uoxcxZcVQCp+X0KoNiD/g58CZgJ5UG5r1Nz4319Js2vKAlvN7X+heY2VomgsuONjj8zTKQjsBEZ9mSqpBWQBs1QwMpr0nIxfMroJqMNVgI6IEZYM/9WrT4JuXvG/KXhTv1f/qK2KFNDUgFFdpx+vSjIBDStHyITq8pvYBfElYw6njEjWTrUgXYQTJUtHVfX5px6bbRvnisSgH1KMAvnjYLohoOd5y0CbHSqtPTcuKy18ArghGe6/QHAsmkRwAcbm9WeWJsqRZi+B2+qk+QNelHDHfOHwpI51MdWaishuFI7s4Yf8N6/g/uETvrp6aSZIZIZSouo7L3ZUYbk4sJ2iuYEX/3uPjXlRfrxW2avu/bK9c4Q6FDW3KktyYX8MYkn9RbADsQyFRiqcVkAtruX32wS2nSKOiqkd+1ioMEw+kI0lud1QnKg07IxZhbzNvTnTSZIZpnatSYfGd1JkrcfIUu7ieEyk7IAjOEkMVc5ke1eQj3IkRo0qzvvii5pe5LO2BzLsVzvHF5Ws50bxEk5UfhDN6M87bI69N9T3x2KRKQ+qFOu8ws2kRro8CZ5RAlYALM/FVoo/o+m1+py5WcHgu1g9955+vIJrPMP/jmGf+Nf/OJfxAFWZIZ/mJ5ZZjMqTTkOnACaAYd7LYspxpwNuLI+n6XquuUVLexPfqcFkNqa+6fJ5Am/0J4shRrU1P3wW/1ZMWF5cQd4jKtQDT3mPWBZjjwMXVWYhxHQLboyXRYlVHGke0JKZGhwSU9+Lg36oaYZh0Izbk0m/ndYKJ28IVN1cNFXiq5+CZNwKRIhMVRhSKAhNwk1k0ItFnQ6DyH9QC1RHk2Cg2ulmmmnmTygBHIZwT5oU6QtlSRPwHzVdTH+q4o+8rUUwYsJah3PVjYl1z/PxfR5hWj+ciN/mbZvdEfbzFcJHNMRrQ+aCnnYKrlbPNOOMYPu27ymdazwHKNIAuNQ6bkTKSt2gPhART8cPxS4YBk99oPeucX4+c+T4hysUiwK0opwVyqUMgIONp/pZbbQk26CO2oooMKE4iHjOopSWQ9AWvpMJkAhf8FCoVF9WgSX6dsp0W0W2bzO5GD8xuWJEXVRgeoEkHQxGHcIG3KspWMjvf8CZLmfUFr/3I6tk/vI0I0tuOckVEy10UYMyitTANXjkzjlNqSZTNPqLEOg3FilJni1pdc/c7y5iCWEMkfT16GS7uVvUMkzMAxn93N7z4q70GitSIZNHYYtxVM/7LLmwseYgAZxRUzCs+hIgKfhUOnPJ4DnWelHOQrLcs0Yt5+5D2LlEk4D1hYcdvaA8R5AOzENPX8ZqbmM9Jc0R7SC0zrhy0oFqNyYr8htb52IDENWv256p8Mw4xOfQG2V4vPBil/gLER8srv2KvHucQuJynw9jJAJ8jVWq0inuEvrOyZUU3k+TCuV861O9y05AmfRzWGGCdWgfS+LXRYLFabmsjDlTYtZ/Ox1R9GqJ2zMI/j+Qv1qUMkrXdKx0iaI3pmEED2ZG4HOUhyICmCtYO9Uu3KfYiGLk+7a+aPQtwQqOowpmpWFk19dqz79y7inZSOGRpngAPCOoKYR26sVd47lX4tKEuon9boc+mbEkALybCkeHX/729YlIo8goxlKRofmqXRVtWXXYXIWCIc7+/eGVsVKYFzJV4NvHO3ghaHy5KIK0FFz8r9/pYig+IpslPRG+BFvaEp8mEfzgyZWSW/jPvEp2dnVRzMB7ATwwQdPZJg9rTpuuTmWz+eNjd+a2wsGMAoQyPLuUWXporZGuVaf/C6dF6nhqRDIcIsAsNGKr+wBAx78bnoFO2MqUSeBYYFFgSHNQKOR2keJOcbz0GHGngq5sPt5Z7cglXhZQtisf7+O4Y0PPnkKGw8exq83PvjAbLHeeqoixfDB+gCxHsT5RdDDutZPNt88KXxHDihP9DQHcFgeLDIEk4ublYK0z81qwyvLLwXymaqdYFbx8ed5gBCDRS1GVcuRgJoxjp9CkaHgYJWf9IabO8wyunviIPYZ+DggIaytIPJqOhwzUSr2wefDwhmWsfc3gF2ppbne8WgPy0jQUBI7djrhsoEbBVcedqv3XirN7jwXvy0dx0RYe72xkTkRkqUO1gWOLcADyz8ANtwewP7Jj/3NmokpixsJwr5z3h8Ah2HqKs6aC4Rwx3bDPzTPz+xOZTr5+iA3dL9AbATjcxmdOKQDQ24W8GV5ejIAbAeO4TBRKDwYEgTwmx2jAoZnZfOtzzmoNnIWeSQmgHg/eL2S3XYY9ie3EHDLngXqfcieG8ceFocBLF6IdaqYyyIon7DsmwDDRm/hnLXRlAFpAJ6seDNNKJT2MoC5+mIMYv1ImujFlEaOCoNkDngeS+z9dvvrAcNajqiDj1ZpC6WjLBsudJBP4a4UgJHyUZpRTqwThmO/f+pX0zn+dmBdr1bDaP02IxZWP9eX+YhhXoFXtfKoEwXQQRBJb8oLPeImWv5lXFJCdNbmynkVPY68TcoBUCmoUXPJa7QVmmVR+973XOonvyd/KAL0EXWQqivhMQMgnnbK2Sl+ieM0nWVOq1OClQVosgr0HUV/bnLzFyou0s4oaBlODPz5suv6jiH1u8pZqO0g+bL0qGl8gWr0WqZeA2XNR/Q9skID8FOVtg68AEbVjdJB3BfP6FG+QR9BiWlbN+08vOetfg4B4HGjI00Ou8HQ2pNNknQeANnpYhYJVXOqepFVtppJBJJDzQPtRkItg9czLjhg8gev535dzrJvOa7wVCgDlITurArI11AP+Po1t9XNGAVd0SB33cIGi4iJrUFVx1OT7jk+pYaCYFEpw1wPQOExayKg72mRolynNTmuTELykugSUsasLbiN+ctLYDr7Akx/CJUyzmfnWlnvWSdoWFY/BWxXSApMvcbJ0FgBSFmfOaZr8zOGWfArGdC8rJNtVCRm1kOwedF1N83GBw8JLr+z8JvTyrEZcd/PUVGhLLveNAO0pvlGHgk/mfTkhuULj2WKdrAtnc6LNBk08VqFBvGQldOZfVFkl+JupffMkEnEdfuc8vnCTzJECV38+ZkWrZJ6xNSYW34xMWPCNcGuXpfTU661nCyatL7bxRYKw6Mnr5RYF8CNxCVVqRmYVvOoKRUSDI0x5HC6zqCFKkK3r2H4x7Hca4YfpIBqLGbI5BgWYgyehujxacycxwBAnQzUicm0CD4jfm3cm3t51j/MlPuDBjXuQZO/0OUXGWp7+L58gkFNc5jyarWSHcU4EeXTutYPiihFhfZArQVrgV9OYVKWXQHcGLz+UZC+jYHmvt6X93RZKzFQfrJUBhQAlgqbJMslamKdGADAsUjmDIYsqwX6DQzmi+nJBB4TT9u9IF96SwVL51eOPhTP1N+CMsPzZwZcTjz52HC2UAilsQAb740bV0ahNdE3zYgvIZXmPMV/ZND6mUyjPVnHqXt5cm6rxiJ3EHA41t5eFHOHhsuxDvS2+h/Ksd8ptHYRHfWkRlT5D7zRAVvZhmR88WCCFgs+XIvTd4/Tzq5ibI5P4VclyKwVBa77ANjp47iDQAW7YwZ/eQ1emAAwLS1tN97Wny3St5xclr3zHIYV7HlHgD5smp63VsdnjFFSk/MQ0dzC1LFiB/bn1NrLrK2FcWQiFB1vc26i+Xeqc6qXqPFXhx/IT2KMjMmp2GHUCZLTgkt2aBXXjuiAqfNP3SNGUEnM2hPrHA/JoqIYUco2D9RZyWHRRCOIttMf/IUH8uxzC7NEko+rWRpQDS1K6NHMNv+qSY09XKfEKgJq497KOfAsohm9Z8/FyWvPYYvl0o5jzy3QDLVgTP2Tpwdj0qQW0IAr5yJ2dOJLzYt3itGYgSikfTnBuwZxCAomohgwAAAgAElEQVS1pSHar/OpXaZqA2iJ60RYiIBIkP0CAQPfqxx1hX8MHg5VMg6gDq4cHjJ6OIMJfsU0AzDznv2VQ0sjl13/oZlV1xK1kullzclkzz/lINW8dTyheRCYVY/UfLVa2ddzYwAjaaX4PQG3lq9E7kpcnk/Md4bV0HZq6TvEQ7shookzkuNk1cWloNDCmh1Led0B8KHX/5QSqTT6+KaPpFMOoA5/N4y1PaDfBoTgyTbcQ0tJkDj6qfW1eFpc05iJ+re6GpepHI40Vo9pqL+BkAU6eW3tbQOVbNSQFMVEGpPEQJZMsWicanShS0fBI5BPamtlprRV+vgrkFwsQK32pV04il6IJLdKh2V5dAcsa/wdQ8We5VzbUOBEjG91f9EIlukhQGBv+jaoqcwMjyM74lJTqODKMTrrEXiilqvlf8oJd1PZprvDpofjW8Gj1tGg1RqLkQ9LADY5v4I9cMtZ7KOujBg5ebJoxuf1mQMJl7Xw896xEx3izC2nliiVh7BJh8WaB9uBNnQ72hkZZcKn53U8IKbK/NKsBQ6mE2RF5CodR347tOrgyJKUA9y0eRDK1gGrRseanxTobecIQhKMn2kk3owblerZF99CHgEdvZNebtHUgmYQPZlPi3f6KTeRUc92mpEezFUf6cFGJEiH4GFete6hcXgh/ry/BNypSeWXFiiUE03wUrwszLxf08cagnu0OVZ0w9Avg4mrKqylE8wBHDnHyoky0TTGz5ztCatDSWadtehm+Dc+Vz29Eri6jcxZzvpWksX4Y3Eueq6igYC9j40L+8XQR23QwUQXA0/PCXUP4sgGoiu4Ul0nx6CE3W3q7PGdiBqjNMflhacwr5LH9geVbaDlRLSGjzMEMSqH4dYNX8IvedEXKOwqfS8r2Dg2RahgNmY0dWUMob8PPc2f8tW1n6ufJz56PnjXwpsZVrCCLzen7s20BuApZZ4CtK5A0lAn/EXRm/icclBVdR2kBtNgi+mCByci8PIPAqdMKPCseVg2gkAkE0nRhar7eiL5u+bdh0Hd8pjvQdQBJIWZzjZ4sFSXt4XgNUZBXM78X6TAPcjyZCo8KnIsY8kJ7slOON5h2GfDY+OH3Y3UCESAZxBTHYyO7+VAcx7xPbQMUrA7vJN5Bofx+8XTZ3n1ORl+O2q8TIbO6IPyzFOQs5cCzweEVaMSd8cP1ZRO4yEAt4XHBOyBtzzZsNrnF5OEetNtnNg082W15RblVRZU4Me1Xcg1dW4LjwHnyftZSyECeRgt/QM8Jy+4ikj/wFrkS/ZAWAvAkym78S9+2DwmIzXZwCYbuyZNVoEo9T6DLvsAn0Dm6fB5QgiHZbjPAeBNeuei7Z1NUbKU2sILC79Ma17L6myJjn+f8ybQ5vtenax4nBiZaYmz4QAee7LM3Uq6PdVf7bvNC7XPRJBE4l6//GzogxleEwAMBXIoIG2GRy48iZiPzweW5q0vCwnJ8ER/oD3GEBZaP3sVOSQcwQVXFaERB58aj/et+bT0UdgIpDxog6CQB/0QGveLxqywMSwTOQJVIqvtChGVVgp0olFV+uY2aWq4fhXY829nXv3pjWOBhS8rwdUzoblpKWvCY856hrXm00uWB6I9Ojq9fs3z0lt6b87i/99r7trzLhLF/ruWb6QVmyXgHZzc7gUP7ZDX0m/trAQ15GLMUyD9TXNg0qm17XzRc4Pb+T34kHxwcGrvXxhCObERetXdryfFsDKUPCZ68Z4NAFphUFMQ6eUCCIw7ZxpSebR74vdSYA6aHwVBoH9ScK3vUPs5LlrgTuWsqroitO5NLr7yEELmJDla249APVtPDpJHJZryKPWYpJ7hAsMAsEZqbqfU1l4Y2qo0VRbS0vIijA2ricKJTGi6TMtB4z+szIvq/N001zbPAaPzzErQy7/S+FP3Mu/3O9rSz9kMTxkfWEckCIZuqkaD8pcEKaX26EOF1Dr8OZu/v2YQeYp9/94ETFJrv53z32CmHZWf6kwok/PuXTxeERUNKJ3x9bJavzFLQ+eQQH4qyQp/2qCwtkDjGUpXTl/P+a9UMgBnb66b17zzHkmQigLozMlELnXIKaYouElumTro8m4OdWls2dyziOEEUUUaaSWJfaDaXbF1RD2a/6tuQLQocmuBzF/X2CSZA+DM2Hs+0tSHTPQYrpJaTVkT/XaMuQqQIvpRZQ4LtC5MVF2cO7vxYlw+j/gL/3o+OC+FhacG+EOHCmSh0NKBOh9p0eceujQ9hrb/0v4VCbhwfmj8C0FodVlgdnEG0gI76INbf47+/y38X7NtGta1ifjxl6+Kr3ObS1/FQfsHzAq8ij7SxDW6IfyDB/T4pKyPKzoiJtIqqS0fa4JSyDeT28LvOymadMel5k9yZikYs3mFFG9U/sZ1qRUjKh+gCVZMQWJ8y0yjVP61gD6kJlwQYwagnmqtUQPK25fq/BZ+OScdAMMWxegB9JFRCrUcKum78CrRrbke3sZ4H71SkzWFLr400AROa+kKfQ5p/DaR0z/R3xEjteM0ygLILQwrw1ncNy+N8JUb+7UOcmS5S5vn3jeYF2/cA5chonHP31FDm9gIAFXjU+HKtMoMV8gKqfEVbQJyrXdsTBhs8foi4v/1Na+ReKB+Cg4myMiJB+Se3k50uICCp6qGXcT4biEyYXluc3F9ZqimHYWadt+hzcdSG5I5YIJFJrMdRCmF8i99UeB6GS7hj3pKfvOpuNNAJYPBLRNoNvcQilHT+k+hCVRBAoDhujmYYLaWiC7BP1EAIEYv8ZV3nyXEfU0MVg4AF5f25kF34a1dTHSF26akVYstPqoWyXijQ5wNeVpbSgcKzVfUd/RsHdZRU8wWVBE5wF6Q8O/lM40nKuGlU2YmzKiGf6+LjxH1XbMsd1YllqSPLco4QyABl6OUvHiBWGvD/Nu9tb+bjcODzayyivKw1XDUmQTxiqWM3+3r7z9fVpbmfa3YPFPRvyYA9qRANqbJY/yKolACOLaraQfQFXzRSm0C3Rx5w4wiDGN8Y2pl95IfpWBVvdeGVVMRMEa5Jvh8Uw4AWAsXAthA5MEpWjiPCQDEfOijlGaGT7yL7y8mGwIttM3BWO/7gT8GKKaVQ3AZID2tUIv61bvL0SGm1UTEdNb3DALCFJEALQlvJBxblzie5xAUCotmo4qzS5hdYC2xkjmsPW6b77DcXghMBata36RLFIg1S7W2YBAMok6nZfU3Nf//+jLL04o80q20XKhBp9HsTRL0doWLLLNYvoJSWsKR8Zwyj8t5lT4Mx4OwD6IKdKDocR93msIef3nv7y91V7w0clMSMpx9TCAYZo3IXoWqSpWt5K00bETgyEn7NQwbz9advwXQMBRbrXJQgVFulCk6ZGZyTEhxhSNL6bMornXm498AAOC6Las277n77hOmDgEAP7SIhrUyG5R/pyc0WjVqBWlrX9CWpqB28+2B7+u7JUQUl6WgZhikFG7c6RUGWhLSqLX8zQi1B+XslXk4ES0qrgv0oSg+KaQJo0FAJlpQSIMViCI1PniQR06+7ARjdV1pBDJizNOW1/ajJbKMtyl11EjaTTiXIBVyJnRFAM9a2EFvdmYclcWjNRXzFKl7KYZg3S8BtuouAiAtEkgPLbMfeJnTrfGTmFYVaG6vytdTWqQnQOvPGLAxmKB/tWLN+SRE0n8bMxojD6UtAUBkvUulY0wjEMVGBoHyhKz573x9TrEvBVPO8RqZknTaWC/lAZVrG+n7iu70zPp5xnoTm7xXIN1y9rgCl/pngbCNHaz9/zrgIX4c5LlmHdhZcNZxZ1km76Fk3HThd28W1aQQMk/dzWDL8I6d1KTFkZ1UAVSZa71vaRFwsXTMM5Cm57MMcQL7zf285zM3Etj8ZH117YM8gFcAv/FBwFjzIJf0CeN8DfbD5pZ24GGZeRdplv9G4P+MLUFbBVGONnenhvIS4KqDCHn6jZmUhnDG47lV2a8DO8BiLu+h8ACZSefrYJ+FLE2VmyHzQ9Pecr/PynktMIfOrlwDY/txmb8TaJ7XU9u2DFsSTPbGZ2+s85RDCTV3RWgM/4N3OrLg5RA8lWn3YMWW/dcWaOf34gzpacujLb9vFahRgBAXi8Dvpf+FP1jH8X5/YI/j9fPCjztObHzOGxEPLH6A2AnUJ2Dn1LzynAmA2LzfgAiNM3KFFQDdFNowYyWlwFHNOoBIk2XF1OFawJ6GVaZ22wFObPwiMFqOVMi7gDMAN/biIOgvWtaLFvGzDwMpNQaSULbf6gm1khqoxM1iEGb1n5KFZr+6wkKpKgN0XlmIqbRSZVl6LGjf3+GSM6Y5tBfXQEo++LtSTnERKP9a/qQvA9qnTatgRilyDIqbB6jxV+ngHsCcsXVZa9P0pdytzwDooFBd+8ekvm7PORxaIjMsm1qeztCDAj0xWQBVyqsf2TTpcQyNq7HSd5NLmAlQ2tbF+Ck9p20ShsYuy8Lyfs0/rR8LguLrJ1DrVGpujFsWqe5fMyh6jhuKN8SKXJfe99cyNjORFrr/4T69yItR6+GyUDrbUvJmMJgPxVArMsBEZynGkuRwUnG37u+7z5/9fHzRJN9/lEH3NxYGB1Tma0RNo151vFZ3Dfzxin7ktxd8PGFo0L5XO0CoIRHlP/gej9k9fjNkFReghKNOYnGczgo8SVIlXchpFdhH2Y6JrweBMFai1Wj/cAzehJT/RB55jScLP9wM9QeGoBnUK+vk1Jd3AMsC7mlOx879XnYTt0yt1cEUC27zCNpKOJfoDnCX01TWSgEuhcEjC2orb5GtMFJLjWnM49/T1yCadPRjoPdFxlwnaXvJYYsMG9cY0A7fiRrjfoM3K4wqa4vgcIE0ovarl7fFABUAifJRB+PyeV2HcwuVGM6jI0504vr30DgzyoyZKmNcSAQBScnA5Df8XR2NZS0geXLHMUJ8QDuzgBxm9Hn1arAhgkUyTzozzqAsCdFQncNW+E6LHpnS2lVUUVAcFHp9PcZ/J3RQJD//o8suJ+g+9NzEJo7/nEzbPAfQGfnoB6ItF5mdPRcvVa7JTQlOzjATFWN8wv27AWZrlAxTlAPdhk0gaaMcG4YlI41qkWsQPYaKSgCkJ8ceyCo0YaiisSW+XHNGgear1z+/l8bhl8b+InEe5kZ/J3KsCjWfOg5rQztZhRctNmZTmeBAtAeWi7ie2aYs7xVj7b80hOeaK059YIMK5N9rHeaDuP0s4vAa5mgUqIeAl5IQQBSdgSrl1GKCSuKHo/oWYPLitSq9OOUXspKHApaBrxLvAygK0Hu2yq4bt0+BO30ghzcMA9ZhdbjIQylJ5NRQZsGiDRqfYdFkquV5R4WdLMD6coMGMZjLhuZvL+Kk/yCsfrcrm04iJCfOfkdWaQ2djDNIKtyjE5JisHkhKTXnjI9cSNqaw5D7PtkzQuilfodD+CNQQiPIEc1KE3NCVs0pQ2+gw7HRwwLKy6/usA3OSlpSPkKPO4qxEuArfMs9anodmsOKAfVMy/XdMbhx2NZZibEFpoCRS36i7z2p3XPuV8nQWIKo/43HYnxO82o6qOuMDibDj4dYWxs+CRxzjaSY+nAUpEypKL3QlwA3ZCtZ/9RWcY7i3iJxA1BC20pJcy/LC82eAtMnWzSjHHDygAqp3FjGWdVPoqkbQDfUHAxYQGupgeNYeVpV7kqE5g6f32+bwehRzGaHY9TfCz8JZEXmP3ASdd+EO7M/sVTgt6WNjJo7KIbR8WCTDT+Yom+oRbACmrmwNsaywMNLphBlVP7COejWZNaaVpoYAPM1WjAb3RO03MQyenJrm6xWozDQoOeQmgtQ6QxL7evIMt/6hsxaGycEOe6YIVEyZ9FMJ5L6+2PJ8o7lPOWTbP4xQqOD70ox3JLT28Sxn9f3kp/n/IcHf6DHnSw2tNDkw5Chbz1efrhPOiZXtF3YH5M7NJnROanWhxdUKLnJ1cDJ+V2BVsMFACeARxSaF4uZWGkO+dumjLchqiOaItU0x7NQrGW10x3p3OT7RmYCDOFrjHAs1Ekt/QEr9fKwRtSK9YIipCGvtWjNozUZgq292rN4kvAAD1fhE734K5zbn12JPR4yPBkhmQhgaFXLJSiDYAICvyonYO4FZapMHXKrBcOd/LE8G1xWvN4AeCa6HPk7MPw4lu8cj3Yg6lm1h9X7XfCk+SMZ7wQqDTBprfpNgM4uXpkQkSHTKOCV6JwhZAN/xjoCI4NwsEkLaHPhdZWl8mrOxPjdmnci2KQUFY1pBoshxBc2AIjKINV2y3APxdxLSwu8N62NDavP9LLrl/TBSEVmjo1MBXZUqtkM4R/0+i75+O2uKgBIDdOvKNthElYM1WZ4WJtABtQ+fhm920IdJmSVNrF0JJ21ahEQvZhiGvkCCmll/ktDyfdwIZgWZaD2F5G1B12vg0Ww8WNt/wHULh2T1SMye1FW0hD+qUkNtQgJVMxvEONxfDODzPjMdCjl1Ws+OJRMJCshhW2PfGUjNxrI/OcGRwNbphFw7iSaiwFEAti1/v3bMcCrqGd7Sso1K/pMgUCzlCHDWhpA63Ir7eYhjvvb4C6OHE5A4NZ939cKlDrXv58sDE+eOD0RNP/1GFIGk+FuHw1u60NzjAECY8wFOTx+fZ2eLGtg3I6+mBPWPpXxuIPkrRcGHyL9RHMr9LxeL1yedmowpxbbO3d4L3PEOqyxzh7p2/LQhD8ZV0QUU8UO2H7DzwvLHzwGRHzIfA6swBMb/2uHCSQpe0LH5RS0k8dWVYdfTRGAtDDsGGKf5JSfFxwLtjPrbD8PHt/M41aTDhmq6RvYOHhxobel6aTuzcnkFbEmKU83KzkGxwe2VtGwXEjm3P+ot4FnyMcEbjnkqngsECTwGpglGU8WDYHhzTJeApED4L3fcAMeX8xgy8iA2cFy4LyLo3P0POn5xMILhl8EwFThuXcXMh0fgGuALccCBYN7VDPSlwy8kObtMsMn/sXvzi4/rwcw5mrADOtHsG5ZQ8Bo3ZzAOadqMYRRm3hvF5NengVngswTh5raado7nFEqJVMJwKUE9kqQDxg+xrDeAbA39tmwn38qYSnAiJHWkKfzjY1kzBTS+xA0Hb97Y7nBPGtAfCKwdubnfmxn9iFzRBR9AgKPOR75zGp/oIkLPJvrLsVq3fL1xAeqAh2hOhGAedL8mSiVnuRLkVLD09yXdSQVqycOgNwBDIWEf6hpiD+Qs0UglH0EGkmz5V9r7WdlrNRNfgRjmSQQfGRioJHS/Fb5fFoZf/qagXXziyNKUGrOMXX0ny9ZEr251Ku1UfHvsBBUOLPOMJSenWjPHncEk96C5E0dhrd9MtHKSM2hfoxFLmqy0xvKhVdJ9isyO4ZfWZaBdiLW+gXCVx324tcRMFa1yVed3ITCnvSlmFLKYow5fzpNd2lbFdWswy+MnUnPW/2vNXpSZKH1IaCakPJHRFjS12ReKyRkTKPjAgKDsQe/IcbdbDw9af7YYiSKbLm0VvmztmZ1J119Wz3xl3+id/p1ko53zkvfrf8//g4WBY2vobf4JWv0STsaOPySgSmoX7wfFzMEzKNMn2zF1oy4tKiMcZtFhYCOpZNMqbRyRE4iT699hX/HgOotSADsBgD39itoGaJ/hv1hpF+vLCRhw8SPApILGL7AYe6Ee9jKwmsGMz+p+Xh/P32E16CMriZ8WRLSFC7PPgWT+wEJbeJnVGxewi6uDDK5yfQdziwQrKVNZVWFBXbGVbEW8MjvY9xh8W/lLgagfNwxh1bsAJtlAPiYBPt29urQDHpoOT940Tewx+8UQqUIyqw4m1tPZ5LXYKI/Fj/pozVs+6R505i5l0ugbMoYN8gs1M7s6LqQsxK2/n2f/lPpT6ufUnLaBvaWU4+U8APDAgjB0DeP17r0vv8mil/008Jqv6+UmhzEKaTPR+Wx3LqVTe9x/ntvOQ7JHFo4B9MvZXIbVGT+6tJbPDEBo0EABuBEpTEXcUIM+0W9e/Ks5W7V+1BDqa+6fOI5MxU455EOvMYto+bRIPD4g4cmehweUx0RDK/OS2e4bCjkJCjxqKyDaSV8A2U72/hzFBS0aR4Wgd7ASCUOjuWc7GHn6wePZ8irek+V5NqYb6QzM1Iri9F3MKpw8abWXXwlEdBErCyGKuA5VMEfv5vInRoqjSkDfOGoO/Zc/vGaCkYg0GMRSOYCiOf7uoC699a2VuJlGEr3S/vbWK/ok4iGBpJas2Jy0VtjzNeTx9mjPdA1s6RKl7gSCAAzVaKq5/D+0w/jAHPSg6gcZQWUtpGCVELGWJT0jPeM1MyjqpdUDyxeoyYMvggYbH7Fj9WlqFtHpaOsVJEkRSoyohqK3Gq8GUpRjfxYCEBWMNZgg/E+41gU5/TF0016ElI1FMvEtm6h5TDsgxL+Q4192xdnLHdBNW52vDm7ZxeIT9yXIpRZlL//BvAEbEWVN4sPwXoHIrzCHAkm7K/oVgpjPlfacGMkQ43Ry2eykNaPFy3/BGpD1hxIOivNB5C7LrcYp6dHM6iyJY0xiv+yBega/X+jYhKsLgWTmyzPEF5gjbgccxIk2SiTPvN7eTnHwrGqTmKpVetx/EGm+PYBFFt8rcq30h9TVBTXxleLTAnh6crOtc9/hQ45QMdAtdCkkijPT6uo9EdGOYfsWDZSNTL9GYMpzYKLABJ+reuVyAdGLoaCMK9PxswCEmbXQRPthbhK8vg/MJrbFDpr+cnFtNo3owQ/amD7bDgWwtOKMLBTvGXXms/+LeG/zqqPRek1ndpH4GrjAg2sLhow8Q0EzQUydVXdhhXPM6oSkYdfDNWma3mytdZRxAh3QHkGVBxVEYn0eqyHMP9NEJhkxLWFq9FC7s5TPEAhrjMqgSwUMAh2SziklFpMb1iFpQGY+o9850kjVX4WyzrX7obr6b8fj2+SFACANM6p3NvK3olazUeuraelO0rTpGbmN01TSyorrVGDkGOrNDoaCA4AV2fgBVTPKmYH6nitASzPbNgjNJUeVu3DTu1rlDUnrzec+yxuMXJfdzN7xzkEAOmE8bF8QFx7OgBYj8/RjBnyZ3wKrC5zywwwnjWPacYlOCxPszld9kVg+kKCY8l4fvldNEaIyYzCr6OreZ3TwQZ6tHtYhToXg1w/hzYLolXo0ksT0ARfA7gO1weeOx/zqjy0LRNgEKccj+9wPMaKFTw05QieYMwU2Zfr2R1eNiSz74iMLgEXT86dysQr4/wGR0M+Lu1ZYzHxKJii6+tPzYdxQ60VRJP+KJlRNf3ow5ljik4jMqCatwRQ9SRmhqtGXdeTbrlM0yzQliId6Lm+Y8hjCo80RA2+iMh3baSK6OqKzXcajJTtldfFwbTjSO+3Rz4VplU7LcW0a5JV8iv3deoC5M4IwKEpJ1NnLvm1fycVxlYnwhhnri8Q0xuFl27F6/OTjp6rtLa81bqPFT1o8gxfx6JPwLFwWHYyvleGz1vBxKPw8h4A8iJozyxNxDkwYuOkddU5qHH2w3ofTWeeWaefRmD/t3C6Xp2XW224YCgrAJ+uAq3Esm631hGGxCaZyVYOxyXaaIyR31Muw2XVNMqWY1dzuQWIdAxQC9HBqZNLBmBHdj7mcVo9Kq1N8ehctNs/JqnJtuS0jI6Votw7t296pqYY4453Zk4P7Xq2dxQldceIHhDYZp3JJlb+8mQYok98lcf4ZD91PF3AA6H17hzwl7W+nEd/S0x4Nh3HC0R0sMXxQ6cYYA9gx/DssZe1DCPuCLwDQDiWezpnlyNcjUOo+X9eWHK87MAGNYwE2prxmqsykGye5nwstEmOQLx3MkkdzCajKoXEH8TQxBKoBICDiFWLKjMsIrLuPBt/ltY1hcr4bgCPHxzPGvOZKJHXbQeOO/6lk4oGByRU52jX6zRSc41rI0FA8sXmG2QcHUoSoK0KqTZSah5mwPl8IPMTVjmjDf7LEyR30vTXFn4jqf5wL7QRWW8ASiU2fGDpXsCD5zHAD/Y++PcwR2QFLN4wvBChdHV0qHLwuWJY48RGvbseV2+bVDInGGLMcpl2Pth0TpptPOtJJXRYk18mfT8sZyBZ2JEUl2+BPhA4EMtyXxtAIGtVukyEMEQYlonTuvoQ2EnpkXlPY+UdzEAw4LWy58IMy9uxTo1dyevPt/ZLRdx4ed7yMkabzs6TYAbE7lzlaQLrvse4rGSqmdQU1h7MuWLTbNtx6gBIEC3zaGhqksNmEJU5ZfKbnjsnHUYE/7JGOIKOWnTEOBDYngKxKBg+9loHwaIo0kpJlCotFoY3OWGafoGet0NCB8z2ZhXtRBb7kDwlIwSdZLs1gr5AWoYiLt55DlqjqQnmdqdGZoBOec4yE7duKrXdyxejRJYWmNuj4hFcl9V6zyWZ4922c21NiTxMWAoH2HAUAaw45WPo1WOUhCPWGpvOo5tla27Ot116UeMCuctATapsTDmyzvjuZFyaDNlUhJWowWgNgM1kJafPocghJfPfiDOeIWsG8kNRQSs/xmnJoNYjmg/453Ou+3JS9dLvJKocWSES09TSTZs/Wp7TS0cTvcl7aAlUmaLxpNKWBnyoi109Ak0GeFbKOWBXnfJZDE03HVtaXnGXxhlV/7UoAItC9OMJLcud4SxWRiL5009hmOkJIS2CwJsZjQ/pU5pySISY0tk23COLsZplLZ8Ddhku5rbaVWnvJyWt/V9hwVxOQ61wLZXJ4mmygDSoPfnkgfo/Ha+8RqnJ+km/L2DDqRUjKWgwYgnmGKiRicPbNyUeXZr/MXbiiWGdai4h/Ku16dOOgPYoGwdPdObnHglMpWAU1ZFya5zt3e2g3RWmk7AKEEW3okdLuw3nt1BznoxUsKofl9bWBabGsLTue75yB4oH8qKnbRVxo9fkDae4RVuAOKCnNjWgebetkpNOoJA3omDZzUIiRbnWop8T/QUc7gOVCJOOkkZ54AO2mrwmmTvseRod4+mSVFCXyhVoTRzFbY06pzIO+zt9rxnA8HkAACAASURBVM65UsuD8kIj6LCqR17MfgheVfYMLehA4IPNmHpqn6TXqh2JnExXDjpyAEVpCR3kWBWzEPIKmfRhO6AmJmjs8zVrR2S6dcEox7eKHvYl+GKcUjuBKwKkHIsKzQUTX4xWUATe1PqzTkFtUTA943P9jZGJ5EBDOsOUkJZKgdmKOagRVek+AyXT36/o5ygalAuQkC3qpOIKDZi4pN9z4GVpx03/WbW5iF0ibH1P64jLQdS9hQ8PaqDUQuytJ8/ze5/SZhcn1GBiTPgvHBKgNrHJnYWqrqSW08JztIjFLNY3i/k+ELb7c60+gFFKcwx5IFmNj7urwchNaGM+dg4mrA+HWGQRyRJ46/vlN/KnN5Uqxl2pQZHfk0tvAqdM3QyxRe5NEThDo+bNRtQirIGaD53LUXQbDFVPG1pOzT30jsCxZ2Xjugac68VxKjRJNrgAKGQRDAIKTmUBPPD262AufDL07/nk46jFFSEygmmvvFFgmi8ydHwqVLYwaZKgmrxIAIjRNYpzLNy8NcywEvhtzXlEjAzgdrEtk/4s/34s2CX6BjLNrFIyOE6VOFNTEzPLXJegzFmefHDLreqjmmxp5hrcPc+weMAP8O9ukqRZrX1Gxncz0QLlhS82iiZaLWyFJ+qNmkmMtwZ/5SEavZ/ZpWRiac288jD+ILTN/WgwlVdwyZvUQwbTxahZDxuM1MNpzSopu6SIi3BrBTHV19eGtk6m2mTEDIdxy2SOn3jhExvvqPNjrPibtHzi+UuKupXP5eo0NACg5sOwozSeNkLHfEQMevx2/Z9MGw0LRS/+L2I3AKDXr96zboZaOpw3ykMtVDDincuJgTL/QzyhuXIsXVlJ72psAcSB4wOE4TBhLL8VRRegBUs+hqj7/fma7yqMazjpLLRA+KHgOu47jJRq8V5EjWnSP9c4v7tosV1GN8BW7BgX6+9glCXv9GjfJCfUWgyvxcFxw//hefgzBLD2exEdMkLL8wXUlfYnn0Eu4uGYemtwKxEx7IsNGrfquIdMdMY/vYW9CBjpG/jERrfBEjzJSXgv2aHtkfkF+b6DR2qtzUu91FK6mkriay7EGzFlofRYE1kTmTrrdVIv8xg4x0LHtgAUIsuTke2y1M0rj2c8+9L+Gh8SOs1mWbbhJy8004htzOFmX+W56wt1DmI3Tk6qD6V/A6xuUVo3g4dnCJ7OQuQ5ETV4x3WXEpxIvj5mTY9cwTL1A+nTUXWfbApKuI1oZTAUiRKP4nxlc04pJI40ZknwonIa1Ivw+xYzmShH2xbTNDaMixsTBA7QTtCbxiDdlYT1CHmqJh9NL1CQflbGKz8b+HwikzlOltHayEw3fP1rLWMaTYld2QMMCZTz7C9EkCNP3u9aXP6nhNjD09V55yChD3YcrPC65//rNZucaCQqejLfTfCjBV4WST8lq/wGeYX7WdilNIKmHYsuM5nnlPDIljq2cSwTYxQelTZLBt+S9muWxYdEf6PaaOtEwHjaqokJ1PbHusy16Vt0/oiYXYuX9/TbqiOdS4taDjL+8oS0XrIi1KycC85eWjS5bA62tZ0iMs0FrdlRyshynHU/gW1aCd1YptOwldgT1XLYLicvJ0CLOQlCkYQhU5nzgNMwiTQmrqcAbDrx5gy17PV7tHNR8jYzJzNtWrTNmz9heSTUPAOs6wX852dhPa+c6nvj932wzzsTT/6/vq52y3FbRxZASp65+/5ves9JxhaB/YEqkO5kt3O6p9O2JYoECt8AkWYMw8iBJ95lPw0cY4i0zyr+OaWIll9FF7lsf8jR0hdmWMvwJwKXTdzu+Nib1YDWxPHm9NPtuNtdg5EGjyMTygDDoF+ytJfndMdz0yIVfQiETywsIBdtci+CZFqztEq1VUsWvZTjbh1EBUz3PepsPchc1Usg6/BW1mx48yAgG8y8m28+mVhPdfOxETAPxKLpBqBbDCe69Zq0gR6eynBUkX0AofGQZe/GIU5lQ0t7btMhEsjqEGV/Av66AL9qjyw5OyDxrAXLAWTA3THnhczA53nDYLjGoOaS5e1PZfsVQZkZbE184gHop0kDPrGwVmDFg3vesIzSDJ0Zll7ZfJnAMuX67xBcA1C2lQ9kVtIWd0KD167xQpiyLDlVJxNPBtbztCpdDkcJzmRPiWLNWktUI1bSNhhRuqdhSbCK9AeQzjqbcnGo9/F+jxXAPtgRklYCbZtA9B33Z2rgzqw12YNpqEYS0x3TL9zjxu0DA9VYIq6acjNWYMQqEGC7qYXA5d7jpk+rJvvh/VBTmBdg2bP/zpyDYlABApFbffezpH06r2wB2B66wJPl79sRxIZffUj72ooanCOrtqhqjSLWZoIfXyZipR10lnROr0SMv3/0dDOCSEcX0mCsnhN4IWs0mtEUq32TPyK7gaqjmox0C3BYz12s0eYJ5HVI59Ov0YjIr39L+aPEsv28G8OZz+0FeGAcXvkSCVA9PvLkj2Yudb3s7sQ/pbdSYcssouanBeR+36mg5Nc3r+m749RmoIMW1hFItfNqjJnkcUvtQmtoij7w1LlPbqCpurcpWfNhkLAoLTBkwpyeQaBDuc9WMJqJqbDU32MfoR0/v/dF/LcfhDvKYiAig/uob2UyZSLGRMwH9hh8lEd2j4QKXIPOE7c+IKnsHe/kHYPJCdXfgk0+QnLXvujxUARaLYUpIcT6wDwnRFyt+QHQlJtjTzaZHDc5XzotRGJ6f3zXj5F46FEbVl1+jpqyYoJhsHR81qdesX0FHUBStGrYSCA6c8vM2ReR5FnVNRzGuoHVxjgYIxnGouq6/7zBtVegbEY98wkAW9mM7XXFP78MOQjsUcb+HBPDB3IttGnBjwrkCsS0D4YTJuiOa9AMah+qteqowT5o/tKE/GOF1DLa1CEQOgXTctSorZrIUzxIAIaXADlBgExazVkSy2LTaoPrXkZiR4/qM+zhAErweIq63HtGQRYxQIlV7afTkwoEIM0XUKm2wK/vf5i13wn4dY0Z+UGkI9IQtJsf2oIPfz8dcMNGn4JFslhmg1cSnU8E+kJwxYJ4ouqMI8z+kjYGZAYedR62Ag5dpyINGu64Q34i88rOm8cFt5QRY00bB0z9JB4+N6WsHe9z1rhbeDnR+t6MpPA+rzxy7QSQKMYKSwxeL+h4Us28ZwKtvkpbOvY2SRKZO5UV5cYsAGGIdW3qPXvmSWGqWgfn0ypFKIshGlgFuC3L98/hFAhMqMoNll88mZW52D4RMUohIWqmwTEnUntNonAri9+p0yaYSWdsctJOvg1ySTJTqBbnGfFxxihR2vkHXqDuVkLwz/PBNg82mCnSNXg2P336e5dkw+/3GQVkGRl0Mnu2yn6cco8cO2EusdPux+F5/qkN6QNyWEpj0e4ChmkSERGouWhlxyWAJwP2tvIArmDmkiO9yliU2tXSkpt63gJODBNCnELHEnZMdhEAnKy4gupxVO9BH8ZhtyVhVSS0dSNsD/IpLbD/vtk4oeTr720+nuF50LP78M1E7lbVYwAGZI6QobkfbAr7FaUADpXd5agayDAocaMcstmRhO8sQK4uEyOyDb6SNskwIAk7OjkX8gwHvcR2nJNUZt1F29aMbd9xkAMCvnBzN47RYWv9QKxyZk7Z99DgkM0sTJzleg0eoN0q+VXnVeFfZ0IMnXJoA+tc0Bc96Qr1nZj+kOi8M+jcE4N9/lbSFOaeSTLtleieBSLykZ29ZU+KExBXLU2qTqynZQnc+xNTIInWQs7huvMwG2QCnxqCUU+o4221oEPFc8I5+spYtJNb3wJgn1UFCyFbuezXeuLV72vULR2rUV+eSe2DQhXbHt1Rg33sumx9QMUswwrxzIDsCrnaeJOtSlVBQCRJfxLHee+0bvG59xEbO8401QTYg6T1wZIYqPaQTgh/MpERVaDimmwjha0KbBI1mnnl6oPrPbdUD8xiJGVeZlb6K9cOkyeD0u4AwapfyE5tTe6HquQEJIr4CBz4rg2A3ZnzxybpVplUXR0Wweo3XsudgOwMdZYPoJRIyerScjQ3YqunXNdiNqofHJIAzHeLecWiD0Lr5eZhcx9NRRsUbIkqoLiCcR1pgWsMIAJr7X0RmSnXRTSlBDbtNw46976L2KxMEpnCSgnu8m2UuayOWa1JJL5dFbYP58zK/NoJI8AfeyyXw7Qx+0Iks1owd0ipt3E+FCp1shw1O4VWPCsbjiPNIfaTPdMbwoKILX/zH4Bwzxt4EssWplnlBRglUzoSiw8jTC5mU6z8G2g2WndM2E/rfhOPWOCaE2OUZzmiQnWJrKrE4b1Xgw8faeycHMgI2MVDbSDhAXCv5Gsx1Z83McvtbkhbjPkDkQpJJdzEHDxN3ScTk0CVZrt3/SGFQI90pB9PmzjZXwxkBGKBckpiZZ2Dc+Js8tnXWkgbMB+lOfJcQskfzWqAqkG/aBo7zLeqhfCuJeEbO0Rcm9GAlQfD4NAGjc5qXR9qdTZIE+adkq3Jv2nVbTlt7THidPWasi7bBb+ND+/V1I9hGoDDrLzY56HRcGbSnvh8VsLFYvMtZStfr2vIt7CF3yGTuV/nuW3toi4wvxv27xNw/u2PlfMuCD+d8MEdfo6L7m3ABmTbGoD3QdbubrYrEJFaS3MMZsA9J8IefJ7EpNuq2yTrlGGNaAA4vUbrmn3oUq8leQzAsNkbcrpImgmuUZ2JaaOblRSb03DNASyFyXjlEMYXmI68qqhEzqIs+1pKQRNSJpQ1kz0vz6GedhUhaJjt5+muoJvimcRWPhv1OgSZuAEAhop982nzhAFAR+yimo4n6ZT5rhSR2ZFgQklJZuxbHgSWukpSs+H9+3yyAqgPAe0M3dmhlumsNgVmNz5NMqOZl+nYXMPVRML8om0+6F+q5w2CwMjEIuB2H4N+KOu28X0mQJ9BmZh1RFMUIQWHYOioMmDwGYtErPnnzJzs3bPj2Levt6nXiBSExA0cuoi0gASmrcS4Bu57YkynIDH4mLjGxHj+Ww+KgYo60hRwR/qFKbSkB1o2l5PYHquZ6uXsGsyHZ1wUH8xxc1NEBLZVWJTn+GUXfl2Vl/AUxZTtiwdzVHx9mCNzYcUHC1l9AMYFw0NnC7+8vPRDh+2KA6u1CWCpiXWB22etOapP/+sa1ed9FMF7R4qMTjwxf+36igcLA2az1PVceLLy/kd61fqHIaJ0o9l7V+bNei/kMkSUpBiegJfT8MHA/4Al0z3zoO77ZOKDwJQ7koe+ELujkpeIOQuYmjGlpbgj8kHEB0j6YVCSHhHwcQGL/ezNgMHYO+NTv16Oh+ajzYtrUIal4wlHxoOux/AJWDmksf6C/2bHnrUn5EiwpAVWSMLLBBJtUaxEmSiVh1AqN2IiFhCrmk8EAmkBN8dww/DEyDqHP5FYs/bBH8AWnZUewEiMuLiWbHxVvwXA8BrOEeIFIB5qBV/gBOf/kUANYNowEFmzFKRodO5JAuEFSgNPZYfKGDzKBUsLI8DQjRlyNqA0kYlRiSXLKlljjELLRB72afKCG0aSRCxZ8P1ljVRpKn0ZUODJ6TBzqkRCr3NeX6Iq6Dzi65qqGtNfhu9qug75YFFivNF6HxckFU8qw2jT4bAxacsnojaQf5Ot5gx5phnmqGuVJzx3iNOrE8yKvnXVBaRVKBWlNCxEHZ10PZ6h9ijUPPNU7+gjKF1D0jZ7T1T/KImz9Yb9e2lL+5rnUJLEfq1mAFpHa2THllkYyFyHxthqH0GliH3l1gTOs7UsQKthMLmlHn8uGBADStnFsS7l2GdfuJhAtnR1EkpgTPi4cc1Rg0mMU4DjAewDUbBZAZIShiTTDU/hkifimJMmkLzoZ1EOljOKMI1mxTAsRAFEH4YXgKilPJ9LrqUEHcNW2bZJDURKZm11UqO+do+KANvA6x4Gi50Ob4ycJenQjKnAkYWkM7UJtemfzwPQcQMhnMguy6bz08MPw09P+1T4ph0tW9HLVlAOwoTwqWzDz/I2c9tJRlqomCqnwHD3JiY9rPUfuthkh+6cNr2ZcTyyIdORuaVlKXYBDbHoQigSu9jgkrputWL3xErHxECY4W+ImDhnz1DgUtohPuyjNwgi7RUms4UZ4NlaUuGV9kxmwXbqNERnK+LcKxy7jsa6VlcPFVFgEPpgAif7FwUEAgua2QjbZxRA11yF1mqqsdjgU6Xe9Joj+z1O6RdmwEKr5U1+ZJhYoAp+RFW0ShJJjICPxBiOOWqfH1RIUsNpwXtr3yWRzDagJO9xxlR21Acs9AHSHT4HrjFx+YAj8c6FZy3GN7J5Ja2yOGVaJBoBGsAX+xEUDRbR7JHlAi7uDvvbEWPK5HG2uIJ3SDhib2QZyBrVq3zRSMQKPA9VMzknfjhizvMwHvJJiLrBlurZEkuORSS6wrD7C+q9iY5xt40uFNSphDE7MA8JPXm//bmKGTsz9Fj23JUVfdFjdbntW+zsO123yfDJ9rBrb/zoUjQ0SMyUzul0EtFGx2hACWdPRRLfMEN61Tm2ZD7zPhMVDbGDycWABgLa3v2DXLc8PXP+9X18ybAww+5XYNIIz/O3BoKuRKOjw5I28MnIBLQ8SE/zJKcZ1kD10lvZEtpJXG0qQpqAQaPYFK5sGsw3wR3IHEgbGD5wjZugKw3McPbIBenInVmYCSYMPdtxiyLaM1dqjoHrunFfL1xjwuKD9TzMZYn9OZ6FEqIk/Q8crjNnaGHPEd6mWgIYpJ1uXp1FA8NHjXHTWCIAEYHnCcTa/DxP51ldXA6nhYyl+pAvU0C7W0kT+p0ZgWZQ9ZxWesiTQ+5nE62j5pQJAKrZA4iWh+otAsDWFNY6tRNQPXcAN+AJe+hl5udV3y9TQrncckKx4wnkUs/wxj2Y/Bdoc+WxT/vHxEu1sioE3h0Bd3RkRwKSve25b/1g9FPYJobwjVVJztxBA0VOJAvRTLM/cLI9qI5SsW6g24TQ72yw0fl/I4Sd95ZgQqnnpaEQhGxfMHnNpEf8EGjci7Jo3UttrtTx3HMHkhpbr4vPsHKfAz3VzlFCj9EgmeX4vecF5MAn3gXANbeLIUyrjNhxYXpplO9I4PNGZuWkKKtvunoqBtwravS6Xvj1+o153fg8f2PgD+x5es+cNORpUlB3eJzb3b/H3piEQQmvCgm6Xdh1I9K0Bua4MMbA/bLuDFwAsLCe1Q7l6YN118yIKtUoy7YbcfQqLidGafxe6o7tGKim4zSYZKnPn6cjp62qbUZXuOe4DnJXNQG4RsXYJyVQqYubRJ+n+q3RN9Y28rAKvKQ/3X6rQo8loXJHDE95uL/1HIcNrzUH+cASCC8beLfeMiI2ygMcuyNAVTbSuYmA26pqrQ359Tnb7a9PsXwC3z+ktYAZ6LCQJXpPheFGZtkaQGyC0+vWd+lLt6NLq5DfherpOapa92nfAoHoDCPrjfrUIB3keSZ5zLo7eP2UQ0qrrRdV97F9OgO/YDmRT7X7ciTGrPyHMRyRo5qMmiNjYK1K2RqzCuJes5yQ8ylbOlkQVObnQLU+rzwZN8N13XjdL7x+/8Z1v+AfwycB/zyw54FbtAT3Xvfe6UO+FqhWBlILqvrIRovyT9QMzRpCOjDGxD1vXOPC/XtWVqOVY/V5PgUAURw5RwLDOb02Deth5RXV3kfExrpdSzE62TaPRBDX+WQPdpBDqh8Okn2n89DobDpIrm1ba4eXOGWr6OWccRsYjKeic+UDwwYeZpG1oBAzyP74FmibsLXZBzmJcsV7hdC5haxt6QUWf0wfkOVYNr235Nb7wpKAkA2G4PvYUPewPa3BBwejJOhp1joIJprA06HR45lNjsv9aFsLOPw6+4mPrM4sKHdXSzXb5oRA0NBO0K+bHDqsuWNk9KTbjIr0FA3V2cofhK4bAVXiwD1GazGpZxGiWkWI+mgf3tSjJl1bwseN4ZXiXtreQmJhXBfm9cLrmlzHI8rBuiaGT1x+4b0+WPEgFjNC7wvzdeP16xfu1wtzJJ6V+PPng3jeKP8ZC8SCHjEJlKYxa7/T8mgTrziHmjCdUm5VmXtNqwzLMXBdF17XjXvcuF4vuE8oGWutP3ieh2F9x7QAUwGMjeuY120Ahn0BlBbpIOyYV9GHDpdQraQhMc8OjBlfLwVxAbvB46aJb76kmipwqFLbiqtnVmvpyQOESLXHQSWJVbc+491J7/bOPPy2zqRS7ZZRmS1k+1rnQIp/pg1urSWxVdzyJziMzS6AZPfk7LZWSGBZpZYGGVX3kcmAPPf20GQIRJ3Ec5yHwkh6jkrk0bOX2nD6Wn7io87YtBJjYDcPF3nqtVBwqjSIBpf2Y1aCH9W61r8Se4rUJJS1owwlRQl80ycZSqPBcYC4w/0DhXg1SFMbUT0tf8FGqc3qEZgo6T+uG3NcDG+rVqMcj9e4MceN+f4v1gI+TPm+5sDrmvh9TfyaF/4g8Pd74Z4TyycyuqqgrvuVMyy6U0cqChd58RWJocYNB9zualg7HHMO+LxwXS/c9y+85gUfF30ZhmS5tpvXZKI0zMhVtlNGZbaxECJA9d2KYqfNg9GT7Mt2T0lGogs7YQz/DQyvTK7ITU0ur6Y5nCmWTz5baqVhYAA298NaEYRFYrANWVi18UosRL4rI80MZhMkCdx5becCAohnq8BW0lUaRlq2xWNgLJj/3w24E+hJuaBXXio/lIW+1d1wtcSpLIrWhtwBu4F4MLMaqwgOFMyMDLysxu8xolW19ou1Bl5dcZIiRE5WIGCjQqR21Bcg1V/uHFj6F+1maj1UNSVJHzc4rs76TDIzBjCmIda/IYXRdBp4RrA2Xl50a3wg9JGYr5aEFT0wmA0kVq1t0H9Dxn+itFNfu1Vajx0nVBgCnwQSb+5rVboWeFfU50biHhfmnMgEPp+KrEwfuAEgVu3l7XjlC3OVmYBVNJLXq1TtCIQ57uvG7/s3rnkjfSB94L4mfv96AfnB+23wz4N3PHjWwpULYQR7hqcdkiWOa/wH6Q/Mnko5z4lhk/HGmow058B1X5jzwvAL93Xj13XhnhPz/lVkm+ogNdiFqHpczEW0lZq8VUjh/La4Df//F4VD23KE6wIGwrPMglbGW9PcTsQdbFIUQZJ7S+idVfBvX3pnIk299rSoc7HouLaSYxTGkmaQOI0V2z9tay1fF2xmoMKdMnd2nL83KqvXwpmMa6gU6+DvFuocg62FE2zb6953M15WUs4KqLN0Mcee0JtYSGeTE0OZcZ2duZ/JqSXpxKB1aGBIHOrflwJV2sTxhx+7iF7JodwcdyYIskRX3iN5jByLUn/nGNRtfVcOwqGRcnXRnXlYgyYDYYl1RA960lIEci18xgeWAxYTbhNmo2YbmqIT2z+FMTDnhd/XC9e8KiRIFX1ejnvdJTwNyAwY06i1g2pQZqS/0gYKvIzJbg6n/wIsOb8wL8c1JyZNkzmU1Vjh7qLDBHJgDD4fz3Q+iR6/7CwEqrBZs9BP0v86rDP010Gn1uOAdKsCFgPVDhI2qbkdRtjqKmzH3Jv57YgdmGLSehCpfKQ77Gq8apstKVV/qzUar7Pv7uozqA0qvjm+tordufHNHCLbLYHKvrvqt1Tw71hDKZtooEJ0IUqn+accpbou+vMyrw6OQgMQwzeZC0b/TqmP1BPUUIWJTG5VamvxzYqzn4YBXIJJU4ISF5ogzn8J/vh3AaKd287OrwfhvjDHAXIilzpXj8e2XRAdKlq0mSUWMz1NNGRYiyPVFuB4NmZbvVZHFFj5IOOBR3nU1UOgJvjUdV9j4PJiQJulSVyaOZAMaw7H675glhiz7PaMqjJNH+SBJN0VTWlPDOXLGj7hXMMYhns6LnckXpjTMOfAnBNzXP3tPjDZdSmR7CztGFl/MzPMLtVIfWfzytfB/vjSK+Vg0AHoSHfnF+X/S6KVarsJOIMInzQABjrhyLHzAL5lMQHKCFrccCVuJABnWZV8UGf9QPIjSMi9tGPUPIDetIMoDdqTTbDSYrbTLDf46Pl5/60tHG7RH5wh7NRae2YAQDDLvrf2XDtzflb/qlpYcWR1UU569Rv0zLfPINDPohiCwk69TmkL7WT7AQQpiNikvCF+74Xi361A/MCSyj2g0dImZl3JmTex5cbWYKRzfDk1KRiyRvNCo9wCVfJrYyCi/FILTxWbxQLCYfkpfxC7+6ICAJj+C9cYBIBqhtLPlHLaeZkYXGWsxPP+IPzBw/ZlXYH4RY8GywG3iek3bAxgGHwa5py4xwT8BbfAoMk3Rt2rzIFRrhjSmTSCHMkJ04bZ3VslOEi8Z37IVjH/qQNco9Qa2WCdh22SokVQGsLZNKRNUqoriUeJJ0mmShJJ2+lQlH6DQdWLE6HpTKtmlIz9wjYB94NJZ6y1rjzbi+ku/0KRIioe0A5/fXFHP2PQqO2pSpv1dwZcv2LNtDU/kI5Kl+e31hnUjipRIPfdpXURZTOBR3ZzxzMZfWDIqMwEYZg1E8qvcDKrnkm/JHAAwPGaHCAJlhv/2Mfz7cmtPIDw1ANmKn3cqKZnY01FVeq9SlLq2s7UWZ2aRgJdVVn1E++nUo5XJmzMjsB4DtbrJ4Dyk1WjF4c5C8CtVP6eG5HVC3Lv6O5mXWuswrI1AnNcWOOhb0lJ/o28DK1aOVe7aIv1EFkRi7DSBhKVEFU8ohyGGiGfml7bFCbBUeXUc45BrzIoMbVdJCjbShr60U40l7aATehR4R+F2iRZlHgnaZAw2JyNgAUilXlVDRocgxrCOGzyhGEZWKVV9+5QpJGNFRbKijpYGsLUbIKUSvOlPO1BaZmd+/9Ns1vV3CyscKjYIY/3CiC21FYLb2suA7SiRiNodlw5DZEVIjWFDxYlsrQu5dn3QWwQkNJThTqHB4VqcnW1/X7GXfCXOCsRtyw/oU4JNNmf2S/a8S4cV9j0FVAq7vf7RbDW/ge5RgEY4/BmcLtOMbATqo5rWfsikmCpJ6pk5ljOpHGDr6zaDh+MxNDw/RDQ/AAAAtVJREFUyXrfSMeIgTkLIAYuRNTo86RmoWQ1oIDl/f5UQ9310FnumOPG/fpP7fVTZeNhTxUnpTRIGj25mKq/4Ks0AqzAn5F47MHFTMY5vbQPxfyDZh4BQHQrTVg0OO/xPboijp91UP6DQE/mNyy2LVVYJjNrIirrrVfUgVWyRak2WxLLYVOSeqVioiyUyHL3bKIhK1m2866aRtYhm+cOaaZVxMAHAoZHmXPOCTx0gjuYyRV1gBV68a+1igR/knaK7GzrJQ0OX86/U/rzCsSIyMXhJ/qP4cHsHJACKtRzWQkxNoU0JjwdzTbVV4C3M9uBwrAtXaStJ6vlekGUnEr3lUA4gb8whppB7N34IhGA2oXcWueX4dSwTg2w32F8jOD0YRQga8jG5ROXzbLhT4rcyldTjGDLDrrWkqrbTyKehTESYJPcAubyIWQV3cMRcAtcUdJ5RmUYXlS94eWg0xzHBeCvP38h4wNEYPiFMSb8esHcMO6B+fcfrLXwPDUN+cmnnXRSRJ8AcpXtbqgCso99AEuM92SU4Xd18x4XzBxrPXjig5GS+AKmDQIAMIfrQLGJ6B+HtUngPGGDIXJb6cgDYbj4lZt52toI3asI2hOlAUSwnD5bjSSuV0nlj1XV8/BmbMP6JbhZBionC2JrDCcAxBmLTV2jpPs69sS+fpG67KjhGmKhTXIi/xNg//kVfa1daaelUPbmBjVdqtRDgiC93f0ILf0TjsV1yI1GzcSwueX/+rJWAnuNW0cRVtiPzTmAAICt72fSrvzjRue/lXjf/g0cn1cV3DTHbXdnYDbjkwZV0JW2vu7yBTNeYcyi1aBAKa2tzdr1c7pk9ahcGRjrqSStMXBdEzYHfJX2tlbgE4H35w3Ep8KowzDHCz5n5R6kwVfg43VP9wUsRiniOMcApcGAs8hr4UHYA/84Ml54Xa9KiBsVN3vWg8/zBmyWxufe5ppoAwD+F0fgQctdYeEvAAAAAElFTkSuQmCC\n",
"text/plain": [
"Image (3, 256, 256)"
]
},
"execution_count": 85,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"predict(final_preds, 0, 0.2)"
]
},
{
"cell_type": "code",
"execution_count": 86,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"cloudy (0.3825205862522125) haze (0.5826690196990967) primary (0.6680986285209656)\n"
]
},
{
"data": {
"image/jpeg": 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\n",
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\n",
"text/plain": [
"Image (3, 256, 256)"
]
},
"execution_count": 86,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"predict(final_preds, 20, 0.2)"
]
},
{
"cell_type": "code",
"execution_count": 87,
"metadata": {},
"outputs": [],
"source": [
"def get_row(f_preds, idx, thresh):\n",
" pred = f_preds[idx]\n",
" tags = find_tags(pred, thresh, False)\n",
" image_path = learn.data.test_ds.x.items[idx]\n",
" image_name = re.search(r'([^/]+)$', f'{image_path}')[0].replace('.jpg', '')\n",
" \n",
" return image_name, tags"
]
},
{
"cell_type": "code",
"execution_count": 88,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"('file_19658', 'agriculture haze partly_cloudy primary')"
]
},
"execution_count": 88,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"get_row(final_preds, 0, 0.2)"
]
},
{
"cell_type": "code",
"execution_count": 89,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"('test_18218', 'cloudy haze primary')"
]
},
"execution_count": 89,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"get_row(final_preds, 20, 0.2)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Create data frame for Kaggle submission file:"
]
},
{
"cell_type": "code",
"execution_count": 90,
"metadata": {
"collapsed": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Progress: 0\n",
"Progress: 1000\n",
"Progress: 2000\n",
"Progress: 3000\n",
"Progress: 4000\n",
"Progress: 5000\n",
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"Progress: 60000\n",
"Progress: 61000\n"
]
}
],
"source": [
"df = pd.DataFrame(columns=['image_name', 'tags'])\n",
"\n",
"for idx in range(len(final_preds)):\n",
" if idx % 1000 == 0:\n",
" print(f'Progress: {idx}')\n",
"\n",
" image_name, tags = get_row(final_preds, idx, 0.2)\n",
" df.loc[idx] = [image_name, tags]"
]
},
{
"cell_type": "code",
"execution_count": 91,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"\n",
"
\n",
" \n",
" \n",
" | \n",
" filename | \n",
" tags | \n",
"
\n",
" \n",
" \n",
" \n",
" 0 | \n",
" file_19658 | \n",
" agriculture haze partly_cloudy primary | \n",
"
\n",
" \n",
" 1 | \n",
" test_18775 | \n",
" agriculture bare_ground clear habitation prima... | \n",
"
\n",
" \n",
" 2 | \n",
" file_20453 | \n",
" agriculture haze primary | \n",
"
\n",
" \n",
" 3 | \n",
" test_23183 | \n",
" clear primary water | \n",
"
\n",
" \n",
" 4 | \n",
" test_28867 | \n",
" partly_cloudy primary | \n",
"
\n",
" \n",
"
\n",
"
"
],
"text/plain": [
" filename tags\n",
"0 file_19658 agriculture haze partly_cloudy primary\n",
"1 test_18775 agriculture bare_ground clear habitation prima...\n",
"2 file_20453 agriculture haze primary\n",
"3 test_23183 clear primary water\n",
"4 test_28867 partly_cloudy primary"
]
},
"execution_count": 91,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.head()"
]
},
{
"cell_type": "code",
"execution_count": 95,
"metadata": {},
"outputs": [],
"source": [
"subm_path = path/'subm_fastai_1.0.34_tta_stage2_sz_256_rn50_val_0.2.csv'\n",
"df.to_csv(subm_path, index=False)"
]
},
{
"cell_type": "code",
"execution_count": 98,
"metadata": {
"scrolled": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"image_name,tags\r\n",
"file_19658,agriculture haze partly_cloudy primary\r\n",
"test_18775,agriculture bare_ground clear habitation primary road\r\n",
"file_20453,agriculture haze primary\r\n",
"test_23183,clear primary water\r\n",
"test_28867,partly_cloudy primary\r\n",
"test_17746,clear primary\r\n",
"test_11747,agriculture clear primary water\r\n",
"test_21382,clear primary\r\n",
"test_10914,agriculture clear haze primary road water\r\n"
]
}
],
"source": [
"# Sanity check\n",
"! head {subm_path}"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**Upload submission file to Kaggle**"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Kaggle allows late submission to check your score. You can use the following command to do that:"
]
},
{
"cell_type": "code",
"execution_count": 99,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"100%|██████████████████████████████████████| 2.19M/2.19M [00:00<00:00, 7.36MB/s]\n",
"Successfully submitted to Planet: Understanding the Amazon from Space"
]
}
],
"source": [
"! kaggle competitions submit -c planet-understanding-the-amazon-from-space -f {subm_path} -m \"fastai: 1.0.34, train: stage2, sz: 256, arch: resnet50, val split: 0.2, TTA\""
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"---"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"![](https://i.imgur.com/H560plJ.png)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "fastai-v1",
"language": "python",
"name": "fastai-v1"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.0"
}
},
"nbformat": 4,
"nbformat_minor": 2
}