"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"import pandas as pd\n",
"\n",
"\n",
"metrics = pd.read_csv(f\"{trainer.logger.log_dir}/metrics.csv\")\n",
"\n",
"aggreg_metrics = []\n",
"agg_col = \"epoch\"\n",
"for i, dfg in metrics.groupby(agg_col):\n",
" agg = dict(dfg.mean())\n",
" agg[agg_col] = i\n",
" aggreg_metrics.append(agg)\n",
"\n",
"df_metrics = pd.DataFrame(aggreg_metrics)\n",
"df_metrics[[\"train_loss\", \"valid_loss\"]].plot(\n",
" grid=True, legend=True, xlabel='Epoch', ylabel='Loss')\n",
"df_metrics[[\"train_acc\", \"valid_acc\"]].plot(\n",
" grid=True, legend=True, xlabel='Epoch', ylabel='ACC')"
]
},
{
"cell_type": "markdown",
"id": "e69f5f88",
"metadata": {},
"source": [
"- The `trainer` automatically saves the model with the best validation accuracy automatically for us, we which we can load from the checkpoint via the `ckpt_path='best'` argument; below we use the `trainer` instance to evaluate the best model on the test set:"
]
},
{
"cell_type": "code",
"execution_count": 19,
"id": "5c947f0d",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Files already downloaded and verified\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"Restoring states from the checkpoint path at logs/my-model/version_65/checkpoints/epoch=24-step=4374.ckpt\n",
"LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]\n",
"Loaded model weights from checkpoint at logs/my-model/version_65/checkpoints/epoch=24-step=4374.ckpt\n"
]
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "cea53c9887ec47998a1237f5317d6f29",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"Testing: 0it [00:00, ?it/s]"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"┏━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━┓\n",
"┃ Test metric ┃ DataLoader 0 ┃\n",
"┡━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━┩\n",
"│ test_acc │ 0.7494000196456909 │\n",
"└───────────────────────────┴───────────────────────────┘\n",
"\n"
],
"text/plain": [
"┏━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━┓\n",
"┃\u001b[1m \u001b[0m\u001b[1m Test metric \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m DataLoader 0 \u001b[0m\u001b[1m \u001b[0m┃\n",
"┡━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━┩\n",
"│\u001b[36m \u001b[0m\u001b[36m test_acc \u001b[0m\u001b[36m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m 0.7494000196456909 \u001b[0m\u001b[35m \u001b[0m│\n",
"└───────────────────────────┴───────────────────────────┘\n"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": [
"[{'test_acc': 0.7494000196456909}]"
]
},
"execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"trainer.test(model=lightning_model, datamodule=data_module, ckpt_path='best')"
]
},
{
"cell_type": "markdown",
"id": "c33f957c",
"metadata": {},
"source": [
"## Predicting labels of new data"
]
},
{
"cell_type": "markdown",
"id": "0fa1fbf4",
"metadata": {},
"source": [
"- You can use the `trainer.predict` method on a new `DataLoader` or `DataModule` to apply the model to new data.\n",
"- Alternatively, you can also manually load the best model from a checkpoint as shown below:"
]
},
{
"cell_type": "code",
"execution_count": 20,
"id": "ede892a2",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"logs/my-model/version_65/checkpoints/epoch=24-step=4374.ckpt\n"
]
}
],
"source": [
"path = trainer.checkpoint_callback.best_model_path\n",
"print(path)"
]
},
{
"cell_type": "code",
"execution_count": 21,
"id": "094b80cf",
"metadata": {},
"outputs": [],
"source": [
"lightning_model = LightningModel.load_from_checkpoint(\n",
" path, model=pytorch_model)\n",
"lightning_model.eval();"
]
},
{
"cell_type": "markdown",
"id": "13f38a88",
"metadata": {},
"source": [
"- Note that our PyTorch model, which is passed to the Lightning model requires input arguments. However, this is automatically being taken care of since we used `self.save_hyperparameters()` in our PyTorch model's `__init__` method.\n",
"- Now, below is an example applying the model manually. Here, pretend that the `test_dataloader` is a new data loader."
]
},
{
"cell_type": "code",
"execution_count": 22,
"id": "a19c8b68",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"tensor([3, 8, 8, 8, 6])"
]
},
"execution_count": 22,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"test_dataloader = data_module.test_dataloader()\n",
"\n",
"all_true_labels = []\n",
"all_predicted_labels = []\n",
"for batch in test_dataloader:\n",
" features, labels = batch\n",
" \n",
" with torch.no_grad():\n",
" logits = lightning_model(features)\n",
"\n",
" predicted_labels = torch.argmax(logits, dim=1)\n",
" all_predicted_labels.append(predicted_labels)\n",
" all_true_labels.append(labels)\n",
" \n",
"all_predicted_labels = torch.cat(all_predicted_labels)\n",
"all_true_labels = torch.cat(all_true_labels)\n",
"all_predicted_labels[:5]"
]
},
{
"cell_type": "markdown",
"id": "29e5cc35",
"metadata": {},
"source": [
"Just as an internal check, if the model was loaded correctly, the test accuracy below should be identical to the test accuracy we saw earlier in the previous section."
]
},
{
"cell_type": "code",
"execution_count": 23,
"id": "7bc70633",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Test accuracy: 0.7494 (74.94%)\n"
]
}
],
"source": [
"test_acc = torch.mean((all_predicted_labels == all_true_labels).float())\n",
"print(f'Test accuracy: {test_acc:.4f} ({test_acc*100:.2f}%)')"
]
},
{
"cell_type": "markdown",
"id": "14089769",
"metadata": {},
"source": [
"## Inspecting Failure Cases"
]
},
{
"cell_type": "markdown",
"id": "5c49c01c",
"metadata": {},
"source": [
"- In practice, it is often informative to look at failure cases like wrong predictions for particular training instances as it can give us some insights into the model behavior and dataset.\n",
"- Inspecting failure cases can sometimes reveal interesting patterns and even highlight dataset and labeling issues."
]
},
{
"cell_type": "code",
"execution_count": 24,
"id": "83e96473",
"metadata": {},
"outputs": [],
"source": [
"# Append the folder that contains the \n",
"# helper_data.py, helper_plotting.py, and helper_evaluate.py\n",
"# files so we can import from them\n",
"\n",
"import sys\n",
"sys.path.append('../pytorch_ipynb')"
]
},
{
"cell_type": "code",
"execution_count": 25,
"id": "faa12b44",
"metadata": {},
"outputs": [],
"source": [
"from helper_data import UnNormalize\n",
"from helper_plotting import show_examples"
]
},
{
"cell_type": "code",
"execution_count": 26,
"id": "b9d8d609",
"metadata": {},
"outputs": [
{
"data": {
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uYRwmLp6/RFyD8Q192+Oc4w/9/v/gterzUxmowxIomYyuDYOlbm363/4GlLp2bpyu3qz67Lo7YkQQEUzdFACkLlJK0lcVKBgKUKQaKISEGindQ/cLvWCMGiyh6II2ArlutvWnvPo23FjzdyJSdfC9vP6Tn/Dqb8kfPSSqa0GNk6DXRgyIGvRvfqO68X4kNXzzHPb/vov0sTU1KSDgrMFZQ4q6BIzo/mStGiFjwIjSqRgRzN4AUdRRqmtGj4keE10vRlRvxuzX8P4MyuGzxAi5lIPzoarTay0Ie19AUJ3pZiyHfVwO57XfoG+/H70UQ8FSxFPEkcVRpKGIBaNGKSWD3oSlrpl6qrkQDWCgGEEM1Yjt15Qa6ZSz7gn7zwRyKRhTEMmIlIPeONwr5dVnAqXI4XOttVixiGkwxiLG6UlgwRrEChhHMfZ2lHhDxBrEWWzjsTHgqtFAwDcO3zraWQuNo9SFpHuYgZTJKR8MuTGCdZamsTTe4cWQopCLUMiIgG0MxqkzlVNGRMhJ2/dEMvtbtBSqkde15p3DW0PKGUohxUQYA8ZYTIIYIlJ0bVrn1PX/DDjSP5WBiupXAkEXbrF4LIJBMBgBRD3SvV0AAaMLLsVMQReZKfoq9Y6y3tAlV01FhIQhow9ZMkISSzKOgiVkQy5CzNUYVa9ZKLROt11Tb/YihVwylAwkjRpKrku8Gsg7Snaa1/DB36lx08uRYR/UHgIijS11J6kGX4n5Eerm883v8okGai93YaC61unXKglSQ46eHEeg0DhovNA1Vo0IGo+LFLzViKpxewNR1ECVgreCtQZndV2LCNYYSlEjqEalYEQ16erzjUDKkKNuCAZw1lVdGSjVwFmDq9GXiBCpzp8YvHU0zsF3eI1ftxQ8mY5kFhjbINaTTI8Yi9hMYcswbShZHUpr9/e9OjfRZKyxGoF6QIQQg+rDGkKIxBAPRtg5RykQY0YkVY9f15ExghiD946ca/S1t/2ie4m1hq7r8X2H8zOcszXSqtkCp0Yq73ryHaDZTeexbUtzvCAJ5JRZmTXGQHfU0S06Tt84Y4iFIVYPXwSsJcdCCoEUA7kkXOvoZi1Hxz3eeWxxjGNhHDI5DxhTaJcNvnHEnCEXSiqkqN+76Qyl6FrMuZBCwjiLM5Zl3+OcMBndN8ftyOpyw7idGL0/ZFy8b/H9nDxl4megzk9loDQ0zFCiGqicQaym11LSFJ6l3qgcUnX7f1pjyNU/pZhq5CKlQK7G5ZVTZKoXbyjiSMUSimM7CiEVpggxFaZRbwQpBW80tTDYghXBGa9emMkU0Wis7rsHo2QR0s0s1h3I97qRf9LrbxqOUgpS9mZZo9Kb4VWqHpaIofDquR/5tG95Dh/9rLsQW0NEQ8FIxpqCrWkgKxknBWd0fRiBnCLkUrMBBmc8lETJucboGbKubV2L+jliXDVW+8i/VAdInbicCzFHYghsNmsa72gbrx6xAYw9ZA1MfZU9RGfVT6ipGGPkJrHnrYqUrGlxcv0TsiSKgGsgi6WPc4gOCSNNjpiSSTHp7esc4hvEN+jXLzS5OhHGEGM8bJiI4L1uSSXV73oju2FqNGGtRdPiaqAKr7IQzlqapqVtG5yRqlvVo/63TxXu/7hdsV2H9R7rLK7xNG1L4x2lJOZHHe2sw7cNgYjk9Cq9aSyZSA4ByerQe2/xjdW1kQulGHIMxBAIccRYNUg5FeIYCUMkjKprYw22aRCxGKvZgjglWqtZBOcM3gqpZp9iSKSQyUZoZpritc4hTYs4x3a1JY6v30J9Oph5jUAg6b+LAYlIKZQUwYB15tWNK/vQsVQnwCLFkLGUbKrnrsdz3v8GZp8GFAtiKdKQsIRsWY+JIRR2oRAjDEOpN1Gh9wZvwAl4C7PW4SXjEIrIfiXrZ4hUDxoklzs1UJ+llHLjux3qdK+KUmXvDICG8xisq08pumnCNxufT/ysj9SgbltMjRANCSvl8LM3UHsjVUsRxJgoOWGKYFHvMadEylGjcjIlR00ty41NE3uInETkYJyk1kNygWkaGceRzXqNzHpaZ5BsNF1lVcV743RIC9b0YUZTLvtjKZdqsG5b1PDmunaKFErNQtjG0jjLzCyQwSKD0I07bCyEkilYsneUzlPalsYJzoApSRMrIqSYSCmR65ppGq96PZSuNZzfp0ERTanmrOmuQ+Ze1OA56/DO4Zw7XB8OBirXuO5GzvuWxXQtxjmMtTjvaVqNcAqJ+bLH9y2u8ZhUkJAPdTjEaAYrRijVQDmL81ajHymYIqSYidNEjBNi1XDlmCHCuBnZrQeMs1jv6JYF6/YxhkZQ9HpdNKIXnDFQIIZMCpCd0DRqRJtZr6WWAnGMjJvhtevrUxkok0P1JAum6KV2krCC4h1u5EzF7A1CUc+85o2MdWA8i9NHONsw7taEuGW3GxUkIYYsFoohZUsqlrE0XGwmLtYTQToSjkBLsobQOWIYidPI1XpESqJzgpAxecOiNyxmQu8Nznq8WC3oknXzFcjkzyR/elfy0Wjm8Pi+dlT32ZyrR5wTISaePn+OMYbF0RKSRhGLvsN7p6kSPj5++lafdxfipG5GJWKI1VCleixhS8DkEWsszhjEJAoZKxErBWcsKUeQSCZQciaHgmStaaQKaPHeIdbWeid7T4xSClOMhBD42te+yjgMTLstTx49om0arPW1bgW5ppopAjkhRY0RJSMVcFSyplhKTnAHhj/TU+gQHFmEbDKxpihNUfPaGk/jA75YzHvvUa4viasB13XM3niMuAaMp5gGxNAJ5JKZ4qRpzlKwRe99u+zVGKXEPsiJ3lGMweaCZMFkIdjE5BLNMCBFsCdPyK0ndjP2xmh/S/vi9NpIQbLDiMVkg8m3v2Znx8eUnJmmEQSavqWf97jWMD9dIM4RM4DBisW7BmPMIcuTpgkpRe/HAiUUNlcDViKNwDjsCONALhGHoTGezre0vsHRYMSTjSBWa0eiaQSQjJhav3MOY7R+W7xnvlxw+vCcs/MHzGYzHjw6w3hHbiyb9ZbdessUNozT7rXr69MZKPQmxMirVBmvvD5uBCmHFF8tXu5vLWMMxloWR0e0zYwrKZRdJm2tAiHEIsVTimWMEIthSMJ6B9fbgmk9uJZserI4sJ5cPDFaYimQAolyuHjFZKQitRBFYu0L0Wozy+Hc70o+DmDwSfLtIpQ/5T32v9bCk9bghFwglUKMhSlEVusN1lp822g9rxRS2+C+TYT5zQir77wm9lnIvv6x95XNvsheQBPMGUqqvysgooim8wSNwLJoWouSqnFQG7JPZcdqvDFmX5E7GChKIeXMFCOXV9eM40CeJsZpIu9LrLwCQQivDJt6+kY/s9xIS5WPR6rdhhQcYKl3v+q27MFJmoWwYnDG0lhLGXfk9QrWAyZFmnGBDAMUIUhHQT1zcqKE8ZA1caUCG2pdyMR4yMLktqFYgwkFyWCSIE1CmoxsNhr9zs8R35Ks04g3F/b2RyEv+3SOlhdkD6q4ZfFNSwqBKe9wxmJtg2892IRvG4oxTBOqWzHYvdNeU+45pQrOMZALOSamXcCaAsaRYqoRltZJDYqCtM5hvce1UVe62SunrivZlz30dSIGYyzeebq+Y76cM1/O6Wcz+nkPzhKdYIZBARkWrHv9Gv30TBLiwHaHkDvXFJJYVVxKAYtFrKPkrLnRnA6WzEjBe8v3/+iPcnTykD/5J77Ey5fPeb5ekbKQkyHnjhiFD19csdlOPH25QfwMaWacHj2knS0ofkYWR7SeZtIIKk07UphYXV0gZJruhE3ZMuy2DLnQOTidOZwptNaScyCndDC0dyW3lRITEb0uQC5CmhJjTGy3I7th4OJqhfeWpm/pmoa+abDGah68pgFvoh9vvPHnJkXqLVAUIRcNBClIrmmRkjAlInnCFo9DSHmipKjtCDiMeAyJVCJSokZQtU5EToRpYDeMdI2D7DW9nTMpJYQGMYbtNLEZBq63AykEvFEwT0jgkhZZnbs5mK22U9TziDFolGatfu5+Y7rLpvoSNTUJlOzIaJZE737NaCBgSw8yQ5anZG8YtpF8dUG+vibRasq+gWwKg00Ho26jRzDkpuY+91kXIHSebA1mKpgENkKYG8JcGC/XmGLo5UTHFi6OVV+lEEU3XrdHlVIUeGHAmJpBuWVprCFng7GG2XzBbDZnzBu2o8E0lphgmiJkwUuDKxYpounejNbskkaHu82WaRppux7jLKNPtG1DN1/SdR7XWEYDoSR2aSIZNfYk1fu0HTFGcFaAjLhC0zW0fUdjWrrG4+Y9j98aWCcwzmOdgU7AFMQKvjH0neP4B97CfAa7wKcyUAlHwZBzo+kIoJhc8/ypZiD2nuQNL7DeWFKglETKge1mhdiW7TixC4khGqaQGUNimAamAJebxHbMbAI0ztLYFuNarGvBt5QKId0Xmqes59B0s+pFFOI0MUxa7A0Oem9ovaH1guSsMFYK5g7v/dchHwUo7C+Flt5eFdlj1Hx/SIUpJKaQ2Awj4xhIRet/ISWa/KpadUjzS60NfvwJfC6MlBUOtRIjr1JmB4DPPjLC1mu//1HE4j79q3XWV5FLQddzSokQJobdjhgjMQatoZaCWIMTR4iBYRi4vl5RcmI5mykgEEWz5kOvT61XZb0vcnIYI+QcKZkKVoF9n1y+gzx0KShY5kZqeG9UcikHhJxDoxtcA02PaZaIhdwkcjuSm4bsOrCO6Kujk6f6fpCdJ4kl9w0gSNrrvlD6BoyhjKn2RAp5ZqC3kGqfY9cija1GR2NTWzMjNa7XP+UVzP8uAv0UozrsKEAnhAkj4Iwhx0yKujylVLBSypRUNPArdQ3ccFQEcI3WlFzrafqGttOozDpDrijIHFMFUkAKiRITIQW8d8yPOqw1+M5jrKnRl8VZT9tY2r6jm/UakRrNwBhj8M7RtS3SJ5zePa9dX58OZi49oVi2Y1vz45FFl2lcYl5z+KZQN4RyIze/H5tjSGkkDoGf//LPYN2CF6uJ7TByOQiX14Gr1cjTix3DlDFNrwZRemyzwM6OsN0M13bYVvPZCSEbT3KG6zhRSuHk7FzrKuPAZhy43MKKSGsLjXMcYVn2DcZqMVZyvpGxvl05bPrfA7hAPmIc9oCQUi2UiCL0YkpcrjdMMbIdAiFmYioMYyDGSDGeIoZhjDib8RliAXsjLfUtz+G7OvPXL44MkkkVEGElk1ONlGv3XMnhEA1Yk5CSaxOuwRCREigp1mixNowXyERCGBl2W2KYarraHIAnxkI/a9ltNly9fMlXv/pVnHN88QtfIJZMsUIsCXKhLYrcKiWSkgI1nC1YY0hxVKfCtOSs1y3GiZy/2/FT373krO0b2lBbE5MFSi6kOg7LmkJbIjYm6OcUY2hOn1BMIZcNpWthMYOjU0rTMrmCTAFzeV2RukJoWq01nR4jxmCLIZVMLIW273DGELaDIgmNYJxFvMUME6aAPT7DNA3YXB0yj5NXrQRFIGPAuAP46i6IdHbbba0xFlabDavVGsg0xjGtd8RsyMljxWKwhGFDzhHpPDlGBaPtU3jO4lvP4sEM37V08xm+bfCNGnSAEiGnUsEVQIFhtSXsRtaXV8yXPfOjt2j7BqyCI0DUOPmO+axlNl/QLq6ZciJTARnWMO96FqaBbsFuGIifAc78UxmoTTSE4tjEjpeXL7m8uuDBqWU5E77vzNMag9+zD5R9bUcLqvv8tZZBMuv1ilwCVzuYUqHYDpxFfAOtA5OxszkAKWbwjiQF3zi66iWknNkNIymMxGnCETG24L0jxMyQIojFNHPGXSLGwPVmwpTC2bzBZKn53bzv97t1CSECCgWVfcPnHiy2B5zcqJGpoZBXz6m/y43jMaaDV++wGGtIuRBSYr0bGabAajuSKktHCLoJjuOEjIVxmthsdlx3DY9OT5jPenyzrFFSfvVBhzN4FWHdjLHuwmiZHGo6ZEKyQnXTNCmUOQaIAjZDFIwTTE5ISTgxWBKSAyUFSpoOAZfuYwYkkfLENA0Mg6L2fOvVuQDEOYoYpmEg1d4eCmyGgYurK5oPPa03NM6Rz0+16J2S9rWkQHIGrKHEkYIhGSFZcAZKHCHdzRQK9TNrJFnUgxYUZGNMvde3G9zLFenDr1OGjaL3vKWQIBYKDSZCQRkyzDjhViNiDGItJIGYoZlUn7lgnKNxFr8dkQJ5t9MIs/fIFJBYex2NkC6eka1Dup4ym1H6Obn2Vpm6ZqXsHdJSjeztr9Bxmg6R8261Zlit6eYtzlus03pT5z1SLJKFKWirAhTiFCgpqyNlLUfnS/plx8kbx/jG41uPsQ5rLcNWIeWriw1ShMY1zOcL5vM5u2dXjNuJYTtWFGGre41BMQOmqKFrG5xr8d7TNB5TtEfNAI1vmHVzNttrNpcbLl5cMIyvf2zUpzJQ22iYsmWdOr5xMfG1r7/gndBxdux5cnqMN0a9lZreE1Erbq3V9MiNIu96s2YMA9dTQzYe2oX2SzQZ0zmMz/jFQqOKEMB5EgXXWNq+Yd43hKD0ICVsCbsd1lqcNTTeQBYNp6uB2m62lBC43gScCDGCF9Hayh2m96agTYuUV6wB7BsTMbov7q3PR7Ace1MgN/5dgFhhu6UU3QCAVDIhZjbDxGaYuFpvq0MlxKRd5sOgXvoqRRpvab3FW0umcHy8fAV+KaWCBm6AO+p7fbNxuv0NwJSoPXUpIEkNVJ4mYrhhoExGvEWSwZZEKVmhAEUgTZACOQbI9sZ3zBQSKYVah5rIOdPNe8QYigjFCDFnht1AGgMWQy6w2e14cfmSXCKdN7SNx3mrcGiBFAMpTsRgIBtynBQwZIRsIRvgrgzUHnRScu1bpHoj5dBCYkrCbLfYFy/IH74Hu2vy2RE0LYinJIHiMAFIiciIDCNmPSj9jnOaZPEZ7Agi5Bixsw7Xd9jdhKRE3m4pjcU2wDrAJmBmPeKENF6BMZi2o5w/pLQd2er+IzWz43I5MIcoAcDt3/jjFLQ+KpnL62uuPnzK+aMz+lnPrO+xVvCNV3xOgRwScZwoUkhTpKSshrvxHJ8vmZ/NOX5yjPXaaL7fDXbbgWkcuXx2gcGw7BccdQuW7ZwPAkzbwLgNpEWhaToUyV6IAbDgWo9rWpxt8a6haRyu6P0guVQDNWMVr1hdrvnwvWds1pvXrq9Ph+KbPYZoGTeeYBdEd8w2WprRMYaWVjLZxYOBIu+RIQ0FISUYEgwFrndaNDbtHNfMaJdnZBfIdmJHQxMztuu0buI0tI0hMo0DcWyYHS+IBiZnGSnkOCHFgRh2MTCFCDmTYmAaRg3pbcP1bosxkYvNxLKDRatFyDvK8LGZlD6k8V5RYWLJtam4mFfRk8g3JyT2xv+bRISSEleXL0Gk8sNpBBvDRIoBby2zrsVYpScpaFE2xkRrrXr0YTpQAoWcGWIkQmXm2IMlaoGrRm8fTQGWOwKeeDggnmxJSIq4CtXuMvRFmGHxU8LkAUmq6waHLQUzFmScMGFCqBQ5IkhMxG3ElETfNfSznpThcr1hO+x4eb1mvdmx2exYX28YhpFnF5fEnCmVoaLxBsKIs8L3v/MODx+c86t+5IeYdQ196wleEYNhHLU/KLzEznvaWQ/jDvLtGyhrLGKUX5BS00XVOFnAxkw3jdjLFfnFBU2qzfsvr8i+JfkeioVikdUGKHTHjlIicVZAFOLsY8QEg92NtVYXKY0jeY+dAqRE3mzAG+xqRhkLeSpgHpAbx+bZCyjg2g5vW9zsCBMLWAuSKEAoYErG1HWd7sJABS1DRBRmH0rCLXu64yWttEgRcg5IMSDQOYtEx3qzY9zsmMbA/GjG6cMTHn7xnPlZD63sM6WEXSBsA09/6X2un69ZvVzRNA3dY0vKI5lAO58xTxlL5mgxxxsHzpIF2iNP2zlWeYtJlt70WOfomhYpTvfKVLDWkZNhdbXl/W884+K9l+w2dwwzb2YnxLGQdll7GlwHrkGcI4snkw611FLzvjXTr4vWWELMbENmTEIsllnT49oZTbfAhwE/Cd5HMgkxVt/PCilnUo6EcWQaBt2AUKqZfUe+5ugzISoUeJ9qPERzYhlDYTdlNmOi9eYV39VrV+13JrEIFqGI1WbQSqFTUASSEW0yrox53xQt3ZT9sUJhnEZEhLbCxQ9ub1FKH0SUn6waGCcT0WUt1KZMDA5javOoc1qgFsgimLJvWL0RK8ndGKOPk5K0CF1i1MJwrTqbkiElJCbEGa1RTq+aY7UGqH0+JQRKqAR+UpuPM8RcIGesFYxvMBmmcM12N/LyasPFxSUXl1dsV1umKbCbokLOU8RIxpAI2xWGQg6R3XbLowfnpOUcKXMaZ0nWMA4jKUyEYUsjiWgLadwqW8sti5E9WWulvCoHvmiF5ZeCiUnh9zljmw7jNJVGrgwHVb85a73PiAdniJ0/rGozoSCLCqMukshR13MOEUmRFCYEgx0tuXLOian1pVQgF5LJ2Kh9Y5I1DbsnBc0oCqgUbUPId2CgSilaW0tReUmtwfctzaynpaUkbbQtWTn3nDUkZ5EhVWYJ8K1jdtTTH3V0y5Yph4MTm2Ji3I5sL9dsL1fkKYB3WG8okok5YL2h6Rp8nDHrO2X4qX1PzczS9JZQJqY8afO+qKNiK6JQF4Alp8I4BDbrLcN2ZNzecYrvCz/0Y1xcbXm6+4CmXzJbnPL9P/gDPDqds2ie4/I1YdpoWskIxTVkcaSywLieWXfOi2eXPLu6pO0XNG3Pg8dfxLoObMMwrnAuQ16TpqAd0GIQo70LBssH773P5bNnzBtH27a0XUff9QzDpH0n00TKRYuvxtJ6x9GsZVsyU0lshkROifcv1lg3Z3k0w7h0g8X7dsXOj7Qz3uxpnbTWAdqfk0vlGUQ91gM8D7hZ/9n/WoAUQgWA7Ht5En3jaawlRu1jKcbivBZUh2GvM7e3gErF4hUEYIyA1RSrAgf2iKhXZyB8PqZfPn3//QosiIzDwDiMhGEg58yLFy9Ye0/XOEIYiWHiaL6gbTx93yh5rMsVUJKxrqmcc46cM2OYCBQCIMUwpcLTF1dcXm9579k1u11kCB7THtE2BUlKxplRPj9v4PL5+4Rhy8uX1+SYcMbw8PyUB2cnHM1neGsYd2viNDLuVjw8P+PhgzOGzYYUA09+7e3qs/EtuIZiHIKuJepkAcmKf9w5Yff4AbJcMJMfxlAYhpFMIVqpBK0Ggvaa2a4lUxizprcFoc2CK4ITQzbC6PY0RcKYE+TMsN1ijNC1DdEI0Qp+NsMay2J2BECxjnQ0Z9c6ZQIXaJJiNCtxlTb/Frh9cw9t3zKFwHbY0XUd3aNHPH7zTU7PT1k2C6bdyIunz1hfXrPerOj7hq7vcUz0JpOmOQ/fOOHR953Rzhu9P5OtvJHC6umWp7/4jOtna8IQefP7HnN8fsRbP/IOw2bkxeVTTCkc94a33nyTZt7hF57cQm49rjM4Z4l5y26El9kzjAHwB1LkXIRUCsN2ZHW94fLlFdMUPpM+8k+1p7T9nG4S+vmC+fKI5W7k6PiUo+M5nQzYECjBVJ+okIvDmIbF8WOa9ojZ0RuM7oLoXqK2x9G2C8Q4pggUg/BqXIFydVZesxBIIVBKwKBw35yLjkdwaqyc94p4qqkQU3m7PIWm8VAKO+uIJbLajKx3DZsh0TuDM3ezvX79/Q8q0qgyA4tRPkMrzDpP4yzLrj1ERwcKmBuyB1dRn+OcwpUPLNgFjLUgQtt4LXGJcoE576AolY4om2d9vwKisPRCYRoHNXh7L16UakXJOVuc2fPUqYd1VxHVs+fPK3VWJkyBEAKb7ZacM08vLvBO6XliVNLN3TTRNg39rqlIvnyo3+0NlLGelAtDGMlWoxxsIcTCZpgYpkiImYxBrFfodVHO/X2saUQh2c4qf9nRsqfvW2KMTFNgGEZNMUphdfVSx1gMOzJWm9V3aqBuW5yzFGspViH4rwZqlMOGlIxF2g5jnBrvnBmS1j1zJREvRhAnFaigUJup0kUpM7xmEryxFGMIzrDvsgpRgETwSoNUjCUa5YlLtUm4WywRqqPXVLb1b+Jc4+BRHTI8dxBB2dZjqYAoo2OJWt/SNi1N12GMYX60ZNgNtZ6cMei91ncNpydLlss58/mM1rYYtP6ZYlQi1+uR7WqnGZS+4ej8mOXZkn7ekSoQys8cjbH0Jz2ub5DGYLwlO41WYyqI0yg0pEgu6RXxd90fUiqM48g4qhP4WbVAfDoDNVsyp+PRE4vYlqZb8PiNtzk/7jiOkbyFzfY9hc9SSLnB+yVv/NCv5/j0MQ8e/zDvvLzk6uUlP/+Lv8R6s2XZn2nxfn1NiYItDme0OL+/QOOofSfjsGPRWpxraxpMUWhN23JkLCElnPOk1VqdPCN447DeYY0lNA3jsCUMGz54/gJnNYXx5oOeedd8Jgr+dvKH/vB/qOmSoiwb1li63tO2DW+/+Zjzk2N++IvvIEYn2ryiKqq3782brhQShdlirnxa3mOM3qi28pQt5jVtiiKBjK38c6AMHUXRfrtxYBh3bLZbpmliu1mTQyCO06FwfnQ0p+973nn7TfAe527Uxe7IQv3Ml34WrYuZWgstyuaQE+9fPKdmmw7cd4v5jMZ7+sZhRfBS4eZGsN7rJuIaUi6MU1QutbalGE/McHG9YxgCqRiMc7TOAAq8mMqoRLRASYGQJrxvmHUNP/qjP4g1MG7XUAohTLzcrolh4hvf+AZTiIypsLjYMF+8ZBoHUkr8D29Zn23bUFxD8q7C7QtIpuxHNQiIa3DeYsQyDSMxBC7LRlNwKD9cKglXO2XCNB3Wqt0zueeCRWic03EYlbC45EwYk5L6Fn29K5kkCvxrbaZphaPTM4X9a9KlEnq+Gr1y4y/2zB2vjO3tSbPodV+6ckDGFGh9R9fMaGctbd/S9jOmIXD5/Ir1Zgcpc97rujl7cMLxk1OOTk7AaTkgSWQzbnj67jOuPrji+tk1i5MZs6MZb/3w28wWPf1RW1tpCn3vaVtHc7ZQuiPrKgQos7oYKCnz1hceYqQwyagGyuzr3paYYUoj11eXrK6vWK+uaaTFfFxd/HuUTweScC25RFbrLU3X8+TNt5gvj2lai0HTAPtBWYKw2UZsiJj2GNOdIs0xvs20TaSxHd5EvG0oJeKsVVh6KcxmPcZbhqtrcs4H9uJxHDleHNPP5pydP6BpGmJK+JSJbebqeoWYkf3Ij6briCkSYjxEFM535JTB9mxH4eJqZN5ZYrybCGoaa6NnTHWIniEGy9R4VrOe3nkdVFYbTc0+92/cDcN0aHHQKKnrEaRybVkQswcGItbWG9Ucakuaw8+sri8ZQ2S927Lb7dgNO4ZhULTkbiCnRBx1mF4pmXEcWCzmPH78EGf31LvlBrjv9q3U+y8uMGJxzh+g0SEO5FJoq4dqra3cdpkpb3HW4p3BGUNrXT3zgniHGFNBPoZUBDsJtjUktKP/6npLiIkQInte8lzU6xynUQlNU6ZzhtYJM9fTOCHlQIqJ3W5D44U+Os5Plgjw9NlTQlE6odWU2F5ta9/hHXj8GlbiWk9MkZjqwEYjZKkIOVGKKI3yk0LL903QYjRiUISFRviVZseLrndrlc1AIThaM80xHepEYnX2UcnVsbDU5wq2GGw2lQC21gwpuIz2G+2/yN6vK59FO+l3Lt5akjHaL6qMwLWBVm9sYwy+0Sjq7NEDnn79A4Zpy8V6RTtrOT07pXSWZEGCohO77CjBs6DjtF+SzyPLh0f0Rz2+0/6mEAK2McxOetqZokiT09lYrTes14H1as3L5yt1lt9W0m0korRfaJ8kllwU7Vtqf2HJmWKy9l++ZvmUBqohlS2rzZbT0zNOz86YL1q8y5jUkIylZKXAEIHtNlJsBL9AmmPwS4wLNH7A2RZnJrz1lCI467QgS2HWd7jG8+zlS3IuWOvVQE0Tznk1UA8e4KxltVofuvStU9SVVFLarusP3vN+IJz3LTlmxPYMoXBxPXE0c6R0NzC+lLJu/FOoEZQhTBDGifVizXI2OzRFlpIOBsp7yx46sV/rVEBFUw2URgv62J5dQl6hAg4ovoIWbq+urxQSfXXFbqtGapomUkzkoKzTcVT2hJQCKWuDbwiR7P1HKmN3g97/4MVLrHW0TV+/WSamkSKFhVWWay9OvfqoQAYjewZnR990Os22ZF3H1UCJcYjtsMFiJ6ebdUxcr3cHZgDQDTukSMqJaVI0XpwCzbzHtz3LrqX1hpwiMYzshi1950ip5fh4SdMow/UuQcrCbopMYfda5oZ9N2KsIM7gGo9U+Luxwh7RrOjSjCl75vAEkhCjhsaaivgrQsyxFv6t8sxVpm5bU9uCVIZyZf44DMiw1SCmOvXYKaCFUgsCWRm19/VZKWCrRdrTJR161Q5x0/4OuV1xxmrPXZEDQ/3eQAna02WtYX604HQ658WHz4kpsd6tWbjC2cJTWkM0BReBIPTFYqIaqDQ7wj6wHL1xQrvsaLoGDIQ44RtLt+hwM49xVgd5GuXQm4bA1Ys1l8/XStpdlJUlS4QaewmOgiOXsTpMQZ2OQ0T6+vfQT2WgrJ8hdksIkSnoxiRmjvNC2/bYtmdsWqxkjMn0NrELW/6T//CPcv7k+/mJX9fAsKIM1xQSzgtiMl1nedyfUySyG1famFYix0cLppgZJu3qDzFycnbGkzfe5I033iKlyGY3EKfAFAK7YWI3jsScMSkxTQFrLfP5jMKAmEQ/N1pTiBlvEsYkrjc7hmH72pX7nchv/HN/AzklwjgdxgQYdAbQYtYx71ukQAiBFAadgEfB2QljDeJ9pR8RQq79T/uRDmIOdP37hkZ76A053LpKl18KU0lkA92so+1aTvKJ1v1yweGJMbFb79hsVmy2Kx4/eMzxyRHeekTMq57WKnfhqe5ypTsqBueqdy4Oaw3nD55gjKHkwrDdsotbtrsdpWSOlguM7/FHp4zTSJhG5Rszhn52jLENzs/JGAKGKQykIvimp+RYx8NrDcl6Sy4G44QcE3EyvPn4nLcePeTx2RF96ylEdrsNz582DNs177//db74zhMWi47z81OKXfPs/StCyqRclIHiLjZUZ5A6dwjjEPE0tsEYR5JESpkwBrJoBsR0M9pSOPatomeBPYhmn55WAlQ5GCl7IN19Rcl1QNpRaX6kHN5PaaWNUsAabS1Jtmh7htRZYPX1aqWqNa3RkxGdLXUgTL1FOTEtqzLx4Tgd+BVTCKSgjCIiAg5mR3Nc2/Dy2XOMKVyuMu1Jjz9vCS4T05bFrmBHocs9NhYWTcfx8Ql21rF8cITrPYFAlMDIRrUpCbcGkxJ5KIiJDM1I3kw4sZy/+ZC2a2hPFxhrGHYDY4IxCm2lQXImk02m0eAaQUfLfBYe6aeLoOrwkBhTneOSD6y3YhxitNZjBZwUGgNjibz/ja8zpYZ3fuAKGzeYaaPULSUiknFeGXP7VYNvLSaqp9O1LcYmYubgQfZ9z2K5pOt7wjRVwtpMCJGQInGPnMqFGCO+cYdppSYVvG8oudC0XR2xEAlpQ47T69fudyCPHz1SaPekBqrx/nATtd7hrKY2Usp1+ugEueCsNux5IIsikta7XeXa0+hqX9OyVtNaxuhAOBFF51mrc2lyXVnGCM5ZOuk0fSKGHCNkaGxLDJGNbSojfGa5XLJcLLTOhZCzbgaHScZ3oM9Uaq+WsYi1WK8JJmsNTdNijK3D9DQaSBWFb1yDbTp8NyeKxSCkktTF9C1iW4zvyEkLxDELqfLlURkjtI6sE3L3c4hzZVdZzntOT5Y8OD9l1jWENNK1jjBuieOW62FHqrx+fd/RbEdt4M3UEd53o09jXv1YY5S0dY/eLEojNY4j1jisdXSuwzmtbe5Z2Pe49H3MUk3LgXHbfiQ6LEUh43sDlc0rVvd93K9zvOvATYEota1FXunqECtVmLmUV5gJHQp5+wbKF8FknbKcs4JolE1Ef0SUxsk1HuMd86M5YRqIjHSLlqZzlQEmYVLGJsEnjcK8GEUGHh2zXC7xrWM77YjFYCRqxiMX/FiQCcoIRTJpikjINGJo+5523mG9lgJyyaQMMQkuJzCCNUXXBHWemWhq9bMAnXy6wotx5ALjbmDsB6ZhrJudYxh1oBW2xZQRR+S4F6xk3n33fYxtePb065i4poQVz549JabI8nxJ0/ecPzlnTANDGogfPCPvCsumIxfD4kgYhpHVas3J6Rknp6fshoFpmogps9kOXF5dM4WkvppRgMU4TlrYzYaclb+q61qNUqRgCVgCaX1Fjndx+0OJejOaimIyQGcbnLW0jddi+7RTYteYeP7sgmEY8K6lm/U8ePiAq/WGy+s1P/3f/gzPL14SxdV0pg5v887SNg3OWeYzBQXMZh2PHj3k0aOHLBczmsbxxoPzmgZ5tYHESSMoayy5AlZ2u1OGYceDh2d0XQcCKRbGEg+fV+RuIijX9LRtx8npA1wd075eX5BiZBh2WGO1GTYEppho5gsa3/DgyVt0fU8/X7LIiZgy682GECMFT8oOyTDFyDRNjOOOGAMxjlpzKbE6AoI3rToHRFoPs+WCs5NjTpdz+sbRecvJ8oS0mHPcdfiUma7XXL+8hJg4ms1ZXe9YX7xA2h7T9UQxn0EC5duLlYyRhJGIMwUxjmG9Y5oSq90F47Dl+vKC1nf07Yy333qHfr7A+oYiENBhpLnyz+0nF0tNq8qNH3jF7rAfDinauvRNabmbz98fsRU5KrWZXESwRksNezZzKppVjKUYId3BAt1d6/yk3Xan9TIjbDc7mus1JWfavuX4/ARxDmMdb/zAWzx845w8bjCm4BuIu5E4jJyI0HmhNwamAOOO7cvIZruCckY36+ilIRfB5kadqiS4dcDEgjctIUVWw8SJd5x5R5AGWxxxGzBOndiYBjbDjqne3ydzT47aM4kI1luOjud49/rr+J/qHSt4S5sVxdB4jU4E4Wq9I69HStCuZm/lUPykRFIcGXYrSBsIW8SiqSFrsN7StC1t39PPZjRtS4iZkLUwXTA03tO2Hd43WKteRExJ5xmlRIxKcfNNKYKCrvA6E8U5S8FhDOTocOiU1Thpk+xdyIcfPtPzTQlnBWcNvWtx1tF1rXoqvlCKGopiLMZ5XNfhmg5xnpgKu2Hi2YsrPnh6QaipPe9s3aQtXeNpvOfk+IhZ3+OMVV4vkTrPRxDnOCAvqmSoNQH1SZ0Tus5hTIcgFSat0ad1Qtu2lEaL63ehUu+VmsVaV/ky64ZXCtMUEImkmBmnqBEfeu1DykhIylog+/SowvVj5WzL2vegXngF3ZhKroko1YwxgrWNfn8MjRUWvaVvGm2SLpmcIjmaGglrl/5sNmcYJmDDYr7UwCNFbdpEKF5nBd227LNj+4jDiBCjpqSH3ZZht2a3vWZiw1YuaSxs5wvm82Os95i2U/LXCpzS/1+RYu1Rla/YvGoEZPb/llqPEva49m82arVOVV/7TUZs/ymvkPE1mNsbzdt3SosIYg1N27AnIy6laH03BKw1TMOI75UMtu06GmuwFqW6mgZKMuTi6AS8AEaJittGwRO5JMowkkohEHXLLgp2cEUHOFoBZ5QZojUNzgjOCEMSmKDsItkZ5Vg4GP+sNGFGx1HnAs57Zos5R8dHtN6/dn19ypHv1DEbhVnbcHZ0pLQ5kvnFd5+RdxcsUuasF7y1WJfxvuBsouQdV1dPIQ2UNHB8ekrf97iuwTYt7WzBfHnM0W7ierVDxLLejEgu5Axd13F0dETTKk1PiMotFyuCapyCGqycDz8hRGIUQhCWR8d43yLiSMngaHT0N5lcGmUOuAP5T//zn6qopYiQMJLpXIu3jtl8zmzR8/iNB8xmDfNZQzc/pl8Yjk5ONULqGtLLDetd5P0PL/na158xVkSQNTUfD/RdQ9d43n7yBg/OTnly/oDetSy7nplz2D2iLxft6ck60TXstoQQiDlirKFpGrwXvG/Z7bQeeXl5DQJt1zJfzFks5rStP9S7blPm8yO8cxhjKTkS6uiKkmGz3pJSYrsdan+T06mqSXj+8hrvd8y2I23b0XU6XE+MIYc6SboONfTWQtOQnaUUr5tu7aKWUmhbZd92JdI1hgfLjqNFT+MMcRrIUyEN9rCBzmcLHj9+gxfPn3Fxcc0XvtARY4KcGLYbtus1frHEfAYbwHcie47IkrXnZhpHttsdV1eXjMOKzfoFm6trNtdrvv5LX6Zre95++/tZHp3w6I236ecLun5+CKnznpOzVFaT2vcIvLJYNQoCKgdgBRRUm2IqGQDcsD976PirByrA6CNSdI2neAcxaetocsfpg5MKNkra8xkTcYpIKWwE5qD32qzHpJYuG8p2R7jc4K3FG0+SiSyJZBUGftb0da5YIa+3hOstUyyVJ9LQ+Ia2aWidZlOs9wpCMw2tE1orXA9bwpBIT7dI52DhsVlovcc2BuMN4mqvWi70Rwsev/WYx4/O6bvutavr09WgjHr4bePoWkfXuFqQLozFMSXLuANvDbNGmXkVypyZ0sjl6iWNFRoL8+Uxi+URxvWMofCN959zcXHNy8sB8LRNT86G3RhYrbY1P2vUoypKfRSjAiHEWLq+Zz4FjPXkzQZTCs43B065plFWXms9KUAJRclE00DfWkzbvnblfifyjfc/rHl5oeRAyYHGay3qrbffgkm4XF0xDJbd2nJ8dKyd5XXkeEjpgGA8Oz9jipoKRJQGatZ1zPuOB+enzGc9T87POVrMePLoIceLBSUkNtOGkjPbcSSEyOYw6yiyWW+YwkRMCtV3XutWRgzTlF5t+NbQ9h2n4YREpo+dDje7ZTFWGcVDTHWOESBWKXEq2ampo8dLMRjbYF1D3y/xtRbaNMqw4ep6m82prQu1rlIKMSlruveOQxmqWkJvlTTZpEnXeufx+ymyRQE/qehmm+r1803LZgys12uGX/gK16t1vQaJlAoy7nkDb1ekhlDGGJ02QOHk5IRZv6A/MoRpy26z5OWz51y+eMH66pr15pJ33/0F+n7B1fUVxyfnLI9POTo61vuw8bU+ukdJmhspO3gFbFDZR645p4OB0gkENcIq+ziKQ5R1OH9uokr3UZxGT+kOYPu+bwglYr3FOMUU+uogqhOQ2V2vaNoWFllbQHIhT4kyRvIuMElhOiQ9FcjiLDqRuHInxlAJDqZ0QPBCJo8jIWWyMdgUq/4MYjy29SysI0vBYglj4nrcAJbeOIqxYKSO6ckIWj90ziqZ7WfAzfHpUHzmVbqoazxd6zGiLAQTnm3yhEGYtcJRtnQm63wWk4lp4mp1xbzvMH3PbHHM0ck5U4IxJJ6994zVesf1akdrLE3TgQgxa8dySnsUk3ahx6Sce1OIiDF0fc8sJsQ6dqPOiHHeaxRh1BtxzuF9QzSJOKKD4cpA1xkaezcG6r33n2KNwVtHTiMpTTgntF3L2ZMHyCTIdaYRaA3Muxmmnx2YIUKMFAHrHecPzjDWMo0TIHhnOTs94fz0lC+8/RbHRwvOjxe03tG3LeREDpHtRptxX16v2I4DL6+vmKaJMAWtw4SJGAMiSoFknRbElYNV2Sasc7SLXhe398Sccc7euj6NVWaMGLUPR1H1Vg1I1qK62U+CFaMjt33HbLbE+4a+13XivMN6nZBrnT/kofZzzlJlFl/M+9oXhHIAlqhTe0siT1ucFGZe0yc6ijxoU2SdsTSFSC4F33bsxsjF1ZpvfPDsoPMctY8qTVPllrtdKTdSmlasNtMeL6AYzmROSgPj7pin/YzOe35hdclud83lxQuca7l4ccH5wyecP3gCb7/DcnmE9xVmbl+hTPXDXgEbbpwB+/EUOnSypmyTIlfTzR5APqbuecNglQOvoDID3YF9wrYelzy2sXVdGm1yrlD7nALjZsN8uaTERLGCybkaqEQeIzFrG4OtzmLT+AP7jG9bfNMQRqXsCrby+uXMNEWmEIg5kcRgYp2NZVowFus7mq7XLH8O5GlgWG1gPqebt0RrSSKElIhRzb0VLeMoyPyOYeY6B8RzenzKrOuxCETlyTo5fUguhRcXH7LKlg2WIiPFBbplAjdjNquURE3P6YM3ePzGGzTtnGfPL/jK1/5rhnFiHANj3FLyxDAOjCFgLcxagykWpiumlWVsdETEfNZxeXXF6vqay8trhmFks1ljjKU3Bm89rXd1mGLExokSNpjxBZ1MNF1i0ejMnbuQq+dP8c4xm82Y9Q3LozmPnjxgvuyZzR1x2vC1X/wKvTXMnaMjszs+5np9ifVKiV+mwNGs4Sd+9Pu1YbSAs1YRj4sFi/lcax858eLiKSkEwhSYpkCYJrZbbca93u4YppHrzYYUFfa6v8GNNbXuIjRtS9NA13b4xjFvGqxz+L6jny9xTUtImXgHG+ry+LTWbyr/nRNymqBkrHic88xmS5Tj0dJ0HdZ5+n6GdZodMNbU71tTUPYVWmyflptGpXdxtvbmWKEYIEMYtoRp4OrFB0hOrJzQe0PnDIu+ofHqKOUMU0hkMWQxSNMhvmP14iVGCqenx8xTZkyFscidgCRKJYfde/eYSleEUg4Z0+HcQ95ycx49eJOHDx9wffWSn/+5n2O7HbhevSSkyOXVFbvdhqOjY975wvcxm884OTmp6UN1dJQ5Qrv6dIoxsH+sKFVUuYEa1xLUq34+gJtgi1JKHd6p0B9NeGv/lA6gvH0Zx5FprPPJKuowpoTLuUZ0BtM25JIZdztc1yrgo+uYdT2PHj/h2YsXPHvxgnff/4BhmnjnyWP61rOYtYRdIo4DTdPStC1ny2NKKYRpZDcMDONIjFqrFwMhBdbbLWIT1gsn5w9omxZCwk87Simsy8R6vca0RxTrmEJiu9nx9Bsf8OLZUy5ePGN29AP49vWz8Xw6kIToxMWu63HOQ5HD6PfZbM5mO2MqnomGSVqcOMRMNN2WYjxCqI1hDdZ5rG1wTYuIYRgGxmkihEiaduQUGMahhpIFbwu4gs0jErfEaavoFKuF0pwiKYaa19VNOqdcswXmFat3GpG4w6aB1id6V2it1mvuQnbrFdE7nBQWM89i1vPo4RmLozm5BMIQ2W5WGGvx3jNu1gzWULzFty09YEWYdQ2zrgWkAkLU6PVdT9e1XF1dsdsFNts14ziy3SgKchoDwzARY2IzjkwhsNkN5KRel3W2erka3hejvSfWOprqrfV9j3FOI1bnKKATeu+gCN22XR1xXWi8ofUWigcKVjxt03F0dKqMGpUw11j921qj3r0RpduBV5jkPVigGqiSk66zlCp3oUHqmJkctQl3u15DjmSv16s0lsYpsswY5URMNf1SRCM117RY52m84ezsiDFkhphYDYEQ74LetKphbxEq+g6prR8iGONorIPZHGMii8WcF8+fAy95+fKa7XbNOAW6rlWC3uMlOQf6rtXMBsoBuXeGNItaDqm7PUwdPmKckI+kBm/+LhReMUm8Yofcw9BvJv9uT2LYO3418pN9O7JaXjEGZxoQIYWEbTLFWrIRrGs4Xh6zmwLr3Y4hRFabHcMUcdZBeZWCNpWjsGmaAzy/UI3SHiBkBULEDIVSdKBrAbAWJ5o1WMaRsLtmO+6QpINdcyqEKbDZbNhtt4y7QbsxmjtG8Xnf0LQz5stznO9J2WLF0zjhrScPoUR+1swI9oSNOyHLDsvI8Zljs73mva/+DG++8xOcnb3D1772dT788BnjOLDdbQnTJZv1Nev1Cmr4vYu6UA0Rz5bOrDhv1hw7w3A9EvEkmdE1hrPTJaUU2u2OcVR27mkcavHVkMqAKYE4PcczcSojy8ax6BtSnj4mtXA78uzdX8I5x3rW8caDX8ePfP/b/Lpf999hebTgp/9/P0W2cLroWfiGhff0raO10Eqhc4bTxZymbTS333ot6lMQa7XnC72/1x9ccfnykg9fXmjPWCya7mg72n5BJ4ZT31CKQrABbap0OpHX7qeTWlFiy7ZhNptp/twZUlKmjxgDFxeXhDDVtOztStvOKTmTTKJtLG3rmHUeZ02lynE18mxwvtEUR2Ue0R4a86pWUQOnVzMtC7HoOI+YB1IMbFdXkHX0ixFt1B02V4zDlhfPnyn6bdHj5r3OfEqFEgrFvmLYpmiD6tHxCb7t+L533uJo0fPFtx/z8mrFxeU1X3n3PVabO2gmr9MERBxGAiLKDiEIuY7gEHI1+IbHj97m/OwRJQnf+MY3eP78imE3sF1fU8KGi6bh4tnXWCyXPHnjLc4fPOL8wUOWtT5lracUQ4pGu6ByZZYAhfvc6HWiXpN6ouy5Im6e+42/KHsifhFELCK3T28WxpGSMl3Xk+t/NFDaQjPr8F6HERqBXEmPYym82F6TXcvY9pwdn3C6POHddz9k2EyMIdO1hrZdVCSwHKY5X1xcaWreGvrZjNPzM9UDUu/bxGY3sN3s2G4Hnn/wHtZ3vPXOD9D1PSdnJ8h7X2NarVlvAjlor+E4Ja42a7IYFkfHPH7yhIdPHr52fX2qK6Q1HK+su85TamrCGG2CbJoW5xtSFrZDplv0WNtgZK1M54jOKxknXl5cYIxhHHdMYWIctkzDjmncYZ2yEU+Vv8Qbo4zTzYwwTayur3i+iYjr6Y4eH8alxzAxjgNhP3LDJN1oSsG4hCEhFKyBtvF4b7HOkpPhDrJRAIRxwNDi/YLjoyVPnjzi9OSY2XzG6fEJrfPMmoaZ88yc5/z0hK7v8IsFbdcz6+e4xuPrlFZEGGu9SKwu0pILvmlpZ3MWR5P2VE1R4dBOCVFFDN436hzkfLjv9wMTS0VeGZFqtOwBNcmkMNlxGAlhIoTpwNd325JrOmffhCyitbJIIkwRITCGSF/m2sjrbB13LQf3vFCZ9GvaKdcZRTkncg6UHEnTSIqREEYFY9QGXeWW0wi27TqsaFTXtB2u7bSXEEOszbfKsKXK9hWl1zeWvtcWA+8sXduyXMyx9vZrejfh2tqUWbDyqucI0ExKfb4xFmc9y+Uxy+Wa2WxOmPaUWAOUyHqViXFADExhZBh3nO3O6fsZ/WyBMQ5bowjtx1MzuKczUnXX67WHnu//rA991N3cX9lv+l530KgLWtNzzivy0ypjvDGCrdF1CpFcCYtDbeFIJTPEwMvVmkU3Z9b2nJ2dk4rQd632IJWqf6cs8Vo/3KeGpE6FSIfHJOba46g9k23rmVKhJF3XpSTSVCgZuqZnEwupBIq1GApt30LJxJLJGVK44xpU27X0s8Ti6AgQkliC0Umwrutp+xnz+YwQE89fvOTR2RdYLDumXWTKlra/ZAqFly+eMwwjKUViioho6DmOA+M40C9bMI5dHbxnOs9sec7DheXZ02+wXl3zs1/9gPnRKT/2Ex3WKfXKxYsXXFxcst4qOWjBMLQNbdvQnPQ0raGxns57lkuDMwrgSLIfdnj7EsaRWd/x+NEjfvAHf5Cf/Mmf5OzsBOcsP/pDv5qUooI8jKW1jlnXaQHfNYjVvzWtXihEUonshlFBFK4FUSLNkwePWZw84OTBW0yTEv62XaeEurnm9ovCfa2YQw5/mjQS2u122l+RMyFM7MaJzcWaKUxM46Aw2XE69KK13d3AzMcpYI2lb3odZmkMm+2aGCc263U9P8PZ+QPOOGe+sPgaJe634VIKORVijuQSGcJAzHrT5qQ/5IjkTJkm7SVzjqbrmXUNjV8SQ4clY40w71q61tM2nhgCuRTGojWdGDSFLVJom4bGe7pGSVNfPH9GTDoU8PGD8ztBne0NkRE5MAfYQ1+URjlkqY5QRSUWOD17wDQFHj16RJhGLl++UDQiE9fXK66vhafP3qfrZnT9nMeP32C5POKtt95hNltwcnKmhr3pKoZfGEOpLDHqfJm9A3bIf2hhaT8slf1j5dV32cue6eO2xaCpUdN1tLOGtm8IJWj5xBlyiFxfrvGznqbv2A4byInGO66ngZ99tuILT97i7X7Jr/qxH+OLw8DTDz5QUE5KGBq8aw9fVrCads6RYTexWW9wrlFEdIoKfmkcvnV0i5btSmtU6+uXSoKw2TLvWs5OH/H85VOmsCX3Hu/g4VsPefnsJVfPE+vVDmuuX7u+PpWBKjkgptD1DSmr96cpCvVaXeM5Pj5iu9owrHeMoTBFg3FHND0cn21JwbK6XnG9WpFz5uHDc7REFJFOIb7zk1MwnmfrF3X4XAFx2Kaj6Zd0xfDoicP6lu12yzheM04K0Z1CYBgnRAxt62kk0JWRpcssG8dRk2ldoXcBPfuEJ5HlbkKo0wePefzkCT/xa389Dx6/RSyWq9WICAxBQBqccQRj1PMOgkkFI1F7cyr/mKahAiknVmtl+GgGYQyBYQpMk7JvT0PU3pBc2KxHkGtWmw0hRBD1vrpOGd9zTgc28/V6XbnD9PGcIlNU0sh9JsyVSnNkjHqB8fY9VKt4b3bbDZsctRcqDJQctdjsHF0/wzpLyomUIyaZg+cdKgWNHguViSTUWkjCkGuU1GAo2LapDAlZh3Si87isMaT5Qmf5eP+qlmfVs00FrZB8E5xadbteT8rvF3cKjcfQtL0iFG9ZjGjS00gdnFkUHUkRpXjg5s8r2SNm27bTyO9VCahuF6rPGEaGUnj+9D2uLy/YrK605/H4hFk/p5/N6ftldcQ81jh8ZQtxTllMblRxDqYq3wBZHGQ/DXb/cwcGv6k12lwMbdPRz3raOudLciZOI5vra5pKQpDiDiHj3Zwkha3JPF9fQxEenJ0zm80ZN2umYce42Si1mfOHXrOubQ4o0ylMTCHgndcWoBRJJTHGgLWOUjQL4BBymCr9UuDiasfTFPlgc8U6Tpi5I5VEO3PMj3sKmfnRgtl8/tr19akNlJFM2zdMIVNiJkFF+QjeeY6PjghDYBXXjCEzRejbJU3vODpNXL64ZH15xcXFS0rJvPXWGzinIImm0UL18uSULB55/0o3mFgo4rC+p+mXFNPwqDkhxsxms+PyqiL4pkgIiXGYcN4znzsa2dKx5cgLx23D6VwjJ0sgZwVU6E1zF+E+nD18gzfe/gI/9pN/BmePHjFlw+560Nx75eWi7UiAFGE35Qr42HMOaq1EDGR0FMZ2o6OXjUusNpuDAcpJ+ymsMXRtR4iREAMfPHvGbhgQ6/BNw/JoWbkWI5vNhmmauLq8PAAnpNZaMK/ooxrrmHulkXJONDK4A5VaY0gxst1uGYYtw25LKRERWCyX9L5lNp9jnVOod0pkJX8kpsR2HIhRBx3mXMfFG40alHyWOp7D4ozQOqsNzeOgSDfAO6dAitkcKQW3J0SttYCcdeaWbtTfbKBiUCBLDBPjsKlsFo7Ts7bOmrpdMTW6E0rtK6tTmoUKg9vn3fav0PSfAk+c3tPfRIEjN56fiUHH2+82KwCeffgeTeNZLBcsFscsFkecnj6i7eY0zZy27Vkuz/DWIrSanhWpGZM6eLMa1I9GnFJrfSXv0YK3L94rOCZn7c3sux4JDSUnphTVQK2uFTwjhpx2iBQW854sEGzhxXbFbr3jyeM3OD06ZvPyglXOXL94gfUNru2JMSLAcjGvzoLBTA6xaqCsCOTIFCY240BxQskG43SdxmEih0ROgZfX11ysrvlw3DGWRB8dtrG084ZcZljvWBwtmc0Wr11fn8pA7VYXhCQ0VigpkcjqOWbNTTtrOFoesbragBg2uwBmYLXTvLXzpxyf9SwXp1ytNmw2GyXDDJnNbuDo6IjF4phHDx5hXMt7z1ZcXV/x7NmHXLfCqhVKsbimZ962bLcjz18+5Wo98HK1JRdDKYL4jqafcXr+mGNzzZFxPJp3HPWWvo4BSDHX4rQlpVcd6rctv+Ev/As5OTtjefqAzQi/+NXnymycS12kAtaxH9y0Z+8R9umO6ifWia1QXqEYC2y2GzbbDSlpPwSpKEvFbFabQCOXl9oHhbWInbi+mkg5ElMgDLXWMiiQxFR+Ox10WGtSyUIRInvq/Yhr3I389+3JZr1iGkcuX14qGs8IDx48pp/1HB2f0jQNs1l/6KsZxoFh2JFzIpbMkKbanyN0rcUaq6S9xuCdUvYogUHtycmZkrQXbF/pEG7wzCHkrGPfUzG1OA8UnaUTYzhMJV2vV0zTyHajzdGbzQbvPN57pOmZl7uAmiozuI7XqAZq3yRba1EFDvUi9cQ1Ehh2O16+vODlxQUvX75kt3WadhUliW0bj7NKl9aYWjfJmTCOvAgDL15e1N4lj5pKR9N0LI/OeHD+gPMHZ5yfH9P3HYvFAuc9TTvDWo+xTiO3OgaklFrvE0UepjupP0Ezmx0iKNe2iHGsrl4yDQOhKcofamG32zEME0fHM3znSCHinGNxfsz66SXPL56z+Pmf43x5woOTOdYKYdrh2xm+7Zgvm9rvp05ojOC842jZIWLIpXB1eUWYEikoatVajeq13ppBCo13jGHi2dUVsW3BNmxWg85/Wq85efCAh2+9zYPTB/TtHTNJjNstWSzWKL2RkdqtjzIFW6GSkuqgN2XBLbWPxCBFMLbBt4BVlumQ1NNOWbCupesXzPo51jcs5jPGQSHP0zSx3e6wVmHUycKUMttRZ/oMk9aQihgwHuMaXNPRmJHetrTe452y+uaSyVnIRdNmqdRi/x3I6fk5s/mckBLDMDLslAA35xqdarsp5WCg9lxj1TDlV/l2Rf2+6gNJGXa7kd1uJOeJUp0J55TxPCc1UNMUCSFDLBRJDFOq854iaQqUlMgxaaMqpdYkoORaek7aSJlFMFLIRhDsnURQ+/Rczglj/WF+2GKxYDZfKD1U0yhTOJE4ahSdUiCRyZKVAsk6nDN4Wzknq4Haz+NKSRttQwjVyExax0NJSpUIULfvQq2bSKnjzZVpP6bAOE06HHK7Y7VeM05TNVCB7XaH95HGJ9abnaLYbllugrKhGqP9H/v+oj32G6nGV/vEhkGN/ziOhClQcsIabSB3Tg2IIasRMgrh3zcxj1Gpy0JKTFNWBvkEzjXMFy/ZbK/YDleEcMZiMWOaTmjajvn8GN/0eN8hRsfA7Ce9ykF/wivox+2KazSC2tM8xZh0pMVuR8IQUtQG5BDIMcBxjzGWMAU9494QJbPLgacvL4hj4OSoxzhLN5thXatN812HtYYwbLQlIie893jn1enNWcfs6Ohx7W0rUg3UK5j/PjqNOUMFHoVpR87amut8w+L4iGamM/xeu74+zZO/8fVv0M7mnD1+k2IzRQIl6UZpjceJMjb0Xcd8PqOfz1gsj3j77bdYra740s/8t4RhTRzXBBx2vuT9i2v6ruf05DFnj9/mjbfequPXC288fETjvDIdDFf80lfeZT/m/cUmMoTMeheYQiLkht0wUUri+OSYgY4PrgY4MjSzBdeNJ3kNa2MObFJR1nOxhBLvhDgS4Of+5JcwxvClL/1xStFeBvWydYS4iMVYDwpkPtDCWKdFYu/8AT3mvMLMjWsQDFIstrTMvUXQmlUymVyUKkUnloLxDU4saQrkmJi2w6FbXWKssCkq/xakKRIkY0pUNI+3tM7hZi1YhxWn1Ct3MKT46OSMUgqnDx4e2AratkOcYxhHhnFUVGmNkmIMtd6jo1lOjo6wXmtx+1k3FKUmSmMgToE0TWw2a6ZpZLW6Umb0aeD8/JSzszPMfA41zQe6fyupcSZGheI/u3jGMOy4Xl0fKI2GYUes9b6SizILZO0N/NKXv8zdhPmpwr0LJVtITR0QuidjBjHuVf8N2iPzSz//83z44ftsry+xJbKctby8WhFCYjaf0XqwpiEbTcv3nTL4G7cnOm5xRWiBwQ6EoMCe3W5gtXrJ1dWHvPeNjp/rFI3rm5a+m3H+4DHLmho8OTmn62ecnzzE+5amnSOu6K4nFuT1N5Z+O2n7llgRb6vrNeN6ze76JSlFuu6YAkQDIUfCGCicA5YPnz7DGsPRbE3Ttzz4gbf4hS9/lZ/92sh22nB+fMwX33yTlBXg07bKt+etJcTAbrslJQVlNU2nDqRtsV5oCnhv8MaQKiovpKQk3DnRzec8evMtRucJFIwpWGeZHS+ZHx+B96zSjs24e+36+lRbyMvrLQs858aBVHLVUhtgi3vFypt06qpzCpd948kjjo/mrFeXXF484/KlsLTaQDafz5n1M07PH7I4eUA7O8G6QsmJbragHyOzxTGTJMYU2G43jCFwtQ1Kk5SEYhpMY/CmBwQ3O8I4TzItgzSsKTwPlrUIUjQ62EZPFktG51vlO8pJf/jh+zWNnxHxCB7rPKaSmYpor1mphaY9SaarBkrrdjrzad90avwMIxYrjaZgS0EkIVJItkKnS9ZJuSkRp+kwzj3lxBRjBQckJKdKCK+EkyVZrKkpW1PrUUiNqPcF9Tru+y4UavZIRJ3QbIxBapE+14F3GR2VDTrbKO/d/poXLbGStph9iUhrfjllht2W3XrD9dUV4ziw3qxIKRDCRNe1LBcLUt/jStEpzRV2lqoRGseBECZWmw3jNOqAzcrGP0wTMQRCShiUHimlxFSjrBRvn9A4F53knDVPqXWKPRxBc3vsBxFSqByZkXEcySkx63vOTs9ofYNxz5W1JEViLoSYSKJxYdd1ON9wfHqMWEux5jAYNUal7ZnNZ4qwrNBoEWVmGMeCcxMlwempsp8YEXLW5v0wTVAEaz1itJaWc74Tp1QnMShz+bDdsLm6whpo2tqrV/aoTk2ja8uDDs7MObPerDnuPL5rMH1DiZGr7Yam8cRSsNZqs7mVQ8+XMZoapSRCSBSUCk1KonabaZQVsgIya8O5AqKKUig1jrHu9V3f03QNR2en2N5RyIScPhMH6lMZqF98/4pHueH7XEcxicIIWTdAstY+trsd2+2a7XZFWxtof+2v+TGMMfzYj/0If/xPfIk/8eUv19DbMl8smfUzzs/OaTtF59g0UFJkfmyJpudsKAyrBcNswfNf+gqXm4mXOyFiwLa03Yy26znq5hjrFfGDkItw5Rp2eN5b6wbqjej4+DARMhoRZHMjiXG78if++E+TYmTcbbDGY42nPSC26li2oumiQi1iGsF6sEbZJVydxOsbZXq33THGtjRupvxpYuqQQZBGalamHAxUqGPdY1Qi01JrWYhOLxV4NbXOO1pv6BqLb5VHrGsMjRe8zTibcAKmBMi337eTUAi099XIGwUU55ogUxaHV0MVnbeULOQUKDkzbneHjJV1WsMSVw1Yzry4uODF06c8/fBDht2WmHQkdimZtmlYVmopby3jNOo4knFk2A0Mw8D1+lrnSYWxpppTjcAmtpWkV0rBVwbx7XbLerXi8vKScRxvX585IilW8l1BslGiVtH+GF0rqSbMCtM0Mgw7pjHgrOetN98+pJZ+/itf5fmLC37my19iihGG/ejwxMnZGbOjE37sx3+Stu+xjefy8pKXl5fsdhpBvfXoAW2rIJf1es1mveby8lJbIWJkPjecHJ9yfv6A09MzcgVMTMO2GveCwWPEM0XNFty2OOMIOTJcrbh6+pyLpx/yxR/+AsvjpU6wLbDJBXEe7zrt4QuZ+WzOMOx49vwpzdGMs1nL2duPGTc7nr9/QZHCW7sNZycnHB8fHWrHKSuR9Gy+ZHV9xXp1Bdtd1YUCrmJJTGMkpYhvlZ2/ZKWwo4KinIe43RFK4fzBQ+bHSx698war8Yrr4Vr1+RkA9z+VgXo+OPzk2ZSWJIlso3Zp51zrJJp+amtj4ZtvPOLtNx/TNtq4eHpyxNtf+ALReL729ffYbLbE7cQ2CGO5xshGqT6y5qsvNgOr9YavP18Th5E4FCa3hHlL2xo8hmIszjUY10Dbg3Vk4ylFG/uSOIasyDIrogaKxIgnihCN1HHSr12335HMZy1hKqShbnQ54poW3+g8oZIKcRyIdbTI3niIZPWyakOfQpi91l3aE8Q2WDcDarqwAga8dxgrOOsUwZayTvcsapiKTpQ7QFN9ncTbeZ1nNPOW+axl1jf0jbIoO5NxZKrLgBGh8Yrium158fyZEu2enSKiAwT3iC2pf5RSGKeRnJSSKKfENOwUjVprRFA4Ol7QtA39vK89ofv6m6FpPCV3dEaNvUjBN54YI1dXV6ytZdjtiCkeiHdDCAzVaA01wggVMRhCOJAiO9FG4bgb2G42bLdbQox3EuUfpuJW5N2h7FR1KaK1iH29cT/D6O0vfIEYAinGOtHa0SxOuby+ol0siCEqgW7RiObxo0ccHR3xxtvfT9O22MaxOD7n5HwDpmGz2ei4nUYZTKZpUnTp1RVTmKDAYrHkjTe/j8VyyWKxZF9r8mZP+mu19i0CUj6TDfXbyTiMjMPINAyUkmicVcepZKwF76HvHMOUGUMi5ogtlsXRknbWYbzOIHt58ZLWedrFgnxaWPQ9CX1+iEGnODhbx/hkdTSswTUt45RJKZDHAUCzNPU+t3WESecd0SZImSZlmhhorWCwdPM5tvNs85YhDUxpPKC5X7d8qh3kxeDpRs8mNwgJTMSYDCUe+jW0/6jh6GjOG08e8vabj2i94LylaZa8icUuTvjg5YaL9ciwnRBJXA/lMErekaBkrsfEejvw/vM1JY6QMpM7gjm00ikVPbX4KZbiW7K1gNdcboYohlQsHu1NaY12ZY/iSCgTRimfTXj6nch81jCayGBzZV8I+Aba3mDFkqZIGkdy0k0uZvX0c5pqauUGuEMciMN3p4hpKW6mRKQYpJKatr49DMnT97nBGtFoB6Z4qYMO90irPZINjlrPUd9xtOxpvfbJTNMWkXQwTsosoizLty0vXjxjsVxwcnIEWAVz1K7MfSlfpxSPCkPfbjStVslf971eaowesVgu6HuFM5dcIdRGU6tGwDe+OgoF7x0hBi4vLymlsNsbqKiIvZRzBUxkhkoYOo5jNVDTK/5CaykxErbbCjQY1Dm5gw31FSceHODhVZH7SLPcoF211mBNx1tvf4G9gTBGgQpH5w9ZbdfMlkeEGA6AE0E4Wi7p+xlP3nxLOR0bx/E4MU4jvp2z2+1oWx2ZM5vNDuemyMdAzpmmaTk+OqkNvm1lEhFM1tRZLoFsdZLuzZ6p25Rhb6DGASmZtqm1Tik4p+fT945YAkOIhJywpdAvF4hAv+hZrda8vHjJ2w+fMO97TLb0VnuTYo7EONF4JT0OU03nJ5364NuOXRwJsTAOI9YY+t7XjEJGRNGpnXfEAiVP+Cnhc6Szohme+QxpDZu4YZd2hDJpieczyEJ9OpDERhieD8x/5iuczzynM89SPI1xeGtpWuHs9JTlvCM9fsAX3n6DR49OsaYQwsBqO/HHf/Zr/PTPfo0/8eU/ycXLK6YxVISazuopGaToFMjJtMRcGAJIcUgppFrdiKbT7mtT75hiiNlANkpoirJVA5gMxExJWRdnydikG3bGVJj5HYVQacSSmHeOKSpqKZeRIo5Hjx5ggbhdstvt2O4G1htlbxi3udLH1HxxLrXfx9KaBbPFjAdPnrCNiW0IOuspJ0IeiSUwhUlrS6VocVoMra2Nuq2lb1v6tuHo+Ii+63hydsyscZy2Hk1pJcZhw5QVfGEbR9s2tJ2n7RsdI/8ZwE6/rTrDjjgapt0aUkMJ/rARGbNfY4nLlxdcXlyw225IMRxg4YdNTUTXRcpIqqPKc6HzLUfLJSIQppGYdOhcCIHVas12sz1EE1q/0e07pEhMCoQIITJcKxBCRNkXFEmo6M0p7sgxksaBVCdFf7QR9rZkmiayDJjtDlORXqnehVlyHVtxY5J1fhVp7dnJ97REQ5gIKXF8/uDwPClqLbxVyq1nLzYUjG6OtVYk5piuP6pgE2G9lcP1sv6MznGwnastXG8mStY6C4AXV3vQCsULeMO0mkh7zslblHHckmKg9ZbHb73BybznrXee0M9broYX7KYd7dZgX24ol5GcJ6Yk7GKi9Z5ZtyTsIkPe8vzpC1bW8YMPn7BsO477GTZltqsV7UxH8kgK5AxDipTK4k4umCK1idrQNS0pKmOM7gUoAE4yo91BCnSSOV+ekHzH5BKxTGy3a4oUjPfksA+vX698KgO1joLZRd59ekk46Sm5x3YOnMGJ1Zki1tLMerzpWCxm9L3OWZpC4OX1mg+evuCX3n2fD59fsVrVBtI6NVf7kkQjMiD7RBFLFp0+arB6a4ghUx/b5xrQ3gKl06caL8ueRsaU2sbBPt1joBgdFKjZ2DuRFCdKChjRaESkKINBDDTe4I3Cta1kDJmUPCKZNOn3THFPprmPhAqGQOuFh+fH7FJiFxOX6xVjCFokLWi/GEq94qyr9ECWxlnmXcO865h1HcfLOX3fcr7sdVyEgRB1rkxJynhgvM5bsjWt5xtPUymmbltKTsqVFwNJqAV9ampPd7KcEtM0sht22gMVo6Y+jYU6npyafso5K+RXIMdIrnOgNFK0lBhesWvkRKDW+gCkNo+WQkiRkDS1pzWnoJMAjBJ25rSfYpwJU6hj4dU4VT/iTmS73WKjIZhrLAaDwZagyEYUaKAOnhbUS20g3xuslPPBQMXy6vn6pbQ9RdD+J6GwHRK5wBRfQdidcxhj6vsXco4VzWpqS4uu5H07yh5UsU/tevEYA84BjUG8ELaTwrhvW0qpPXYtpyfHPHlwypPHj+h6j1xP+NEwuZExTgzRolm4QiraGiI4vQai0HNMrvyHFm8dpEQKkdJqX17Z9+mljGBBzCGTYGx9nfcVBBQP0Ht1rDJRIqVoO5G3BuMsg0nEolG/qXymSit0xwZqJ55hG3j5c+9y0hlOesev/f43eXS84A03J+x2fPjeu7z9+FxnGnUNzjqGZHnvxY4/8p99iT/+C9/g577ynO02E3IDptG00p7csAAo4kx55KgwX4hFSHuvCg1ZJ+zBe7o5oVPhxV750EQNoN4TtnZy52oYM7btlSLnDuT62VMtloeRQCEA44vA1q84so7eNyxdAyHgwkRTIsVkRlNIojT5h6bRWg8Yp2u69gG/5ld/P+fnDzk9PeP58+dst1uu1+sDamyfu7GiyLfOQGMNR42nbxq6pgGjkcD1+gXjuONr6yuKNWAN3XKG7xt1SFpPN+uYL+bMlzNmyyVNc/tDIFsrWApx3GJpcZL1pqyIPio7R9s2zOc6hp1S6DtNCZnG420FnTjLNI689/Ur4jSx3awVqh60kbmUUgk+1VGy1iq6rE7XHYNGqqvNRmtNMernI8z7mQKLgvZhhXE6bKo5pT+F6UDvj1tXJz/90/8ViZZd+RLeeLw4Spxqv5k6RzHHg5Eu1UmKKR4MlCJPDSEkhUHvA8JisMZijGNRB0Z23RzQbMjeMCuxK+z7rF4RvRqMcbXW6NinFKvGDvqSLLVOmMFrClumK0jTLWsTjs6PaKzjuF3w5PyEJw9OODpe4LxhfuRYj9c01zA7ajh62LO6yoQJREbCuOPD6xFbHMtugT3yWGtZpREb4FHudSRGKpQpkmwmhYlUhIyyRxhjcaKgqyklnG84Pz1XYNvGMk6DtjqMO8YyMSGEbSHsEqvxJVOzJp+ckqVA0DEfXhqiixR7xwbKNS05B8YQWI8BUuD51QYDLHpHngIxaqNj37+aGXW12vL84pqvvveUF5dKgZSKOcAgod6Aec+opfHMTX6tV4SQNxbpPgaoC1jqjbBvArTWVBxcVpgxQsbWhasFdCfQtJ2Sq96BOG9JsVRG4Fq4rQPaNtfXZO8xvqvEuok4jcQUa+rnVb2EQwa4kFIgTjuG9SXN8REPrGHWtUxSWEltBYjx8Dn7W9qgSMdGMiYOSBqZsk7w3G2vdZPNo87y8g22sVi//3G4xuuP97Xoelfs2xy8bVVJnfdZDQS1MO9sLZrX55WcSWGkpIkYhIggJStIJUTt9k9RaYpqUcugDdQZKIlKRqugk3HSaClOk9aflMrgUKSHcqh7aZpvnyqj3gXCvjlXN9hbVycxRGIxTHkkSyZJgqggJuUTLKScDhHTHn6e0r6dgZrmy5Uqq7wqm5bKR1gSoQIdrHEg2uSfi45m319TbvxNhbjvmfitcQfDdZhdVT+jxH2NOVGcgAMTr5Fy+wZKpwOr4Z7ixHbc4CdHIw7nPB09x/MjJY6hUNLENGrvZyAxMClMvsCsXeLbBu+0lSLkiCvgBKbKHrHe7YhFGCTT+kLrlcUDa4m18RaoLRmWnLR0sB+V402jda2QWU9bBm9o41zJevekADkTBm2XeN3yqQzU8uiIECbWm8wQdkzDyC9+40NeXrY4STSSAEfTLTg+fYBremI2/OK7H/Cln/8a/+V/82WG7IjZUUQ3h5uU9wVlLDgYpfJqkyl1Me9De6VNsGDcq+bVuin2s74WZmvhrySUTVUoKFkjKdP1HbO+ZTabf4Qv7Pbk9HShwxqHTd2sMpAoEnn2wfs0xrJx7SEsH3IklMyQom561R29uXfFMHB9+Zxf+NJP8zhMnFjH94nQGGGcdbqJpnyAkYaoY6DXWYkjr7YbrjdrVtsN19OWMUcmK0jraY4XNPPZ/5+9Pw/2Lcvy+rDP2sMZfsO994051djVczeFkI1QC1A0BiKMzKSwBLYYJEty2ArJDsKSkNTCEpbBkiIk22AMOBwOtQW2gJAEMkiEkILowAJkDHTT7qahJ6oqqzLz5Rvu9BvOOXvyH2uf372ZXVWZLzvz3azqu7J+9d59v+Ge3z5777XXd33Xd9GtVvhFp22nW4dtG9rFgqbr8G2nNPkbiEqlng6V/KEHmJJnCKrCcUk32cYYxCmbUUkSgRB2h5YhJaUDy0wq1CRVG884wVidgqUUUiwKK8bMNO2rQseg70cdp0fbzVAgiaWkrPnEadRcz6xmUvffbKrzFIMzN6F7AN62GBpSbpFisMVgXFtJ5ZaMOuWrKKceMUuq16sUfe2Qm2qdzwwjyeF+zT2KjCRAUYKSIuRUMVOpSMnsABUONRV9mSWkDk7q+ua53+l8T4koWgjrzQVGXjzEN42BUALTdmAYTzm9sDwYX2K1XPLw7jF9u+S17jX6pqd1DY27ZAiBEDL7bWHYBOIQmaaRh6vXODo6oekcPgR255csxNEYy+VuzxQCj8/PSUUoruPOakm7WtE6Q7Gtwtnea91jBitOxbaHgRgj1hpO/DEhJ8Zhw1vnT9iaxCufOqbpW1pnoRTiOHH29BnDfvjQx+u5dmVrTO1TYkEcmcjlPlJS5ktvPmXdOR4eLbDtCtetiVimKfKlN97izcdPCCURs6gmmbnywDlnxeFzrtNbM05APWnO2mbm8MA4JUFY7eJ6Ba9oHmqWC5oLiWNJZATXqv5Xv2jpWkfXeD05Ty/+NAVwfO8Yv/VsthvSbiSENK9pYomQM7tccx4IU0kV5kw/h8V3fQML055nj77MmfWcj5GlWBrMYTzm3Egis00TQ0k8iSP7FHk2DuxSYJ8juXXQWPrjNbZraNZLdUCNVQmrWizctA2+bbG+QYxVyakb0OLTmpcJcmTYbWiahhS1TUjOUe91ilW9Idb2ELlSuBOljAe46gAWmTnXqRttykm1HFMhl6hOaYyUVMgpIweV71mJApWLylocXSiMFaqexomY4sE5vZtZJqKwtXwkHKn3No2UAlMYsFXNZL6ujNGuwIdIXqPH2RnNXLm5TUuuw5KryGzOHKKdeRpbZxWqLvP9eWdnZiVeUFl5s5AtBxRFERaZlxCUQh5HyIkcM8FborcslxnnXzxmurvcKhqfC5ebCWsmttPA0fEa56FtHW1j8LbhZHFEKgU/jVywU8Ht+0vGbWTcJbb7p6S0o1+s8EVVSkIWxmw4v7hgvx9448lTEEPbr7AlsfCWzjdYY+m6llIKF5vzmgss2hVXOhgNuWT248R+HNmHSeFtc5UTjbkw7bZMw0Dc7TDhwy8kf+6W75rfcaQqE7QdJqYxY2Lg/smSB3dewzRLXLciFst+HHn9zbd46+lTQpWMyTnXJl3mMPm0SFS/uVW87jDJMpon0aipOqgageEUUpphPRGpSty5KlIrTBCynkRXjcE4z3K1onGGxhmmWiB5E3Z87xjjDe2zlmlKCBPzDIgUiuhGaMVgMUQU989cQXsz83c2AcI08OzRG5xNhYuzLQ9MS6m9jooIWYQghVEK52ViVxJvhoFNTjzNkeANwRv67i5N19DfPcJ3HX7ZQ4VVsLp5+qahaRp822C9R6zCNDeBSY3DDhFh2u+0/sZpMjlnVRApWeFNPRRdYU06t8FarUeZ8yZzF+ErxKgc2r3nkghhTwyJ/X6adVTpeu2FdYgUstaapRAPB4txZuzVfluHTbhO+gOgXfOD8hFV6r+XlazswnEUfEUs5jqoVPM8Mc3ajUFFiUsCow6qlFjHPlGS1frEpGsyp0qgQK59X1CWaKjqG+HQY6zUg1XJV8D/If8Kh0Uwz7p5PzFxPphkQtcQ+5bU9bT+xUPQu81O0aCcGYczpumCfRg43hxzfHfNKvUcmx5f+9aFnHDGsosDxTiOG8e23YMb2F0+Y7c1rOM9vBgihTFAG+Dx6TMuNzu+9NYjjLEcrweW3nFn2dM5ry1jvGOaRk4vLmi9o3EO3yg9vWAZpond7pLdNLGbJoZpYjLlkPMPObPdbtmendHUrtIftj1nu43KjCmiEZTxRARK5nxM5ItA95WnvPzqq3xmKAwoU+rpZs9mivi+owRLiUrtTjnT1C6i1lpiTpUAYQ6wiIg5OKdS4QBEQ9OMMKVMygETEr7RPielMoVCyoSYiSnjuh7vW5ZH2gww5sLu7Jxpv0FSvJHeMACL1ZpShOM7J0xTYnN51dZ7jnIQJYkICp0oZ++dZYbz32dS4xwVTrstgzmnuAUiDhMDoRTOpfCExFMSj0xiawoXXsiNhdUCv1ywWC5Yndyh6Tr6lXagnUkrQE26mlokPPc7qn+3usG/aDt9+406IO88dQMH+ZfrUYqtahNN01S4iMMGMm+M858pFUqZ+7KqN0pJYSJnHN2ip217UppIKTLud1eF0CnVHJRCVDGq/uNc+3Qtw6p/Sm0QKLp9zwXFL9oeP/4i+wCPzjO+lpPYKsdTRXkoxRyksXLWgnPVYVQST6rrOieNlApXucLZ2R3SRvXfpSq+lCqdlEupcLa+eHZsB0j3UKxV5j+q1QjOCqn3dPfusrp7l9XS4v0NHKCmiBVD4xyXu8CzJ2dcnG5Vo2+K3L13zKc/+xJd29K2DV27outWON8xhIHT3SlCg20KYxNIU2ZITwliSM6xBxzCbmUJboHhHjllNikx2Ewy9dCfM+N2RxFYn5xQkkar+1FVOwqGMQWeXl7wlSdPef3x23Bvyfp4gXeWPAYunlwgJdB5hy8Jc9M0c/J1xQUBsRTRwtcpFfZT5tnlwOlm4HSzZ1m8dl4dJoaQNKFZT6V6SqL2c6kbG6oyfhUOXC1WrhEi5ihK6alVSbtkJBqMKYdNZU6yJqB1Hte0GKdSHtMU2O127C7OaYx8JN7//Zj3Db5paFstoJ1NDidpTUQXVNd8/vvXmgrl8Gc51OeM00QonmAKwziwL5lTEk8k8bZkHnthhyF4j20d3brDr5Z06xXdenno6VOMHIgtRWbGZJUDukZceXce4EXatN/o989aoFhURrzKQzlljJorOAirfbdLUSWU+nL9jJkqXeG5WPNaBUFEW83MlGfrtS1G3/fs9+qQNJKvSvA5Hw5BmiRPOj+/ior+nLsxQm2GqDJiN6HFNw5bhqmw2wacsXhjMSjtOM+ZUbHViWdy0cjJea2OLnnuHlAdlHongMOBAJR6DRwo6cbaurYLqX5GSfkw/6TUPaCSJWZyyXwAOJhAMgLeIqsev17SHa/xLmFvoEmpIhhgMOSQmfaBy+2AdTuOTx4RwsjJ/QUxJ4pA2y7wznPUaV+xIW4OCEoOCbGZYQggQrRKnogFcucRa/FlRZ4CDIM6aa7WRZwmxFl1jih9P6ZMDJEswhgmtvs9l/s9l/uB4+4u7XJRm5FmyhhpO0fbtpRpD/mGIb4D+FhmSMTpwjaFbBz7HHnrdMff+PGf4dn5Bd/9XZ/FN5avPDnlfLNniJCzpYjDeGXdGO9V6sMa/FwHMoy1m2Pl8kvGOO1KqjmoWkQpoj1P5pAzjLqplyt4pG1bOtewPrmL8y2b7ZYwjmw35wxnTxkunvHSgwcsuhdfVArQth0xRHzj8Y3FeSGnWvCoBDHSYfA5QEBKAHinm6prVeX6gX0pPE6BL4SBznpWJF4Pp5ylwOt5ZNs4dq2ju/OAZrnkzkv3aBYty7trXNvimgZb681S3bSNtUgVsnXeq+K6ucolzu045gPEizZTxprnyNqSvRbDUoQsWuekEIbukzEbUhRSHKBGBHPEdPjMQ+mCOjgjoqNS4SoLtF6VM3zr2W4zYZoYdntKzlg5NEmp+miqGP1zrt3MbSE0cmqsYZpGpnFkHLSg+EWb0GBKxhZUE7LMbdYzInOVmR6eCtpOQ1EPJXikUp0saF55PhgA1K63Isq6FCmaVxa0gJ66ERsLxVSZL/T3XyNlzKzM+YqxeoAqVg8g/d0V3fGKu598GesarPHsH32ZsN++yKEEoG1bhAI5IFnb32zOVAD78tkFL792l34h3H14l7sP7uBNy6Ix3O2OOHIdvTM83V7wTC4xTggp4qe6X8SoLLyUWR4d4Wi5Ex1pSoybHZ007KZAVwaiGIYwYbLFTg4rql+5E2FMkUfnzzi9vOQLb77B+RSga1nduUO3XvClv/3TrPueb/vUp3jlk6/x8qsv85M/8f/j7PT0Qx+v53JQ3jkK2rxsxnd1I6pRC4ZYhNPLHf6txyyPeprWsdsHxikyRMXvc04Hxp3N6ZAIVjFPIRkLVgtXQaAqUpuD4qkcim7ndGipNRmUq1xZ0zhc0+KanrZRpe+BOY+gye5YKb4fBUXy/Zj6fCU9iKm0c1KVcaoN4Q7jXR9y7e/vsBmEVxgqULgsmcd5Yp1HeixvSGbj4Nx6Yt9A39IeaWuU5WpB07f0XYfUXNLs/GfYRSE8h7UO6zTHo5CercQXc4BvbiKCmjsNU/LVA4Fci8ArlV9JYbWv1lyDJ1e07tmuoGa5gqOgogkZctLNMF8RBFKsZQBJGXuYGvVWxzkzL+dMyrujzRkvoGRy1FYeMYw3EkEdus/OBcMipLmDARV3NnOB7lU+VOphpVQUo1SnVoqp0VI5wASl3g/kCu+b23eU6ymmwxjJFSRYCkh5Z8G+EbAG03eYtmFx94R20WGNJY0TIeyYNhvScAWnvygzXuZu9+C0Js93jmwK0xDYXOx4/NYzrHd0y5ah2+OsJdNgjGXRrBgTqno5CVOcGESLcbPR1hpZIoVELpESFHJ1kpGcSDkSJGjUC9oDKtd6ytr+fUiRIUeGom11xFtl7NW0QRwmpG1YrxtWS8diYWmbhtZ/+IX5z+WgVstl7f65qWymiDENRpQ/XxDEeh6dXvD2249469kzGm85vdwzToHLYSInZY52XYdznlzKQY17pov7JlOyyu9IPbnqGU2qtIoW9OqpKRNT0g6/SYtP27alcY6j9ZJ+saZbrIgYUi6MzlKSZfIO4xzFOqYUMeFmWHwpZ1UYmPZgMv3SE4ZKo53ZdnrmqjIlKKzxc9RvakIeAWPJFMYCbxIIccfbY6axlosGSttiT5Ysj5Ycrxe8dHzMsms5Xh0pC6/rCMBEIUklqRjBWauEFN9orZNvVAS0afGN6qTNhJUbcU6gShKH0gTNE+nmKIp9iBzo77qnqXPIlRQxO19zaNMuh1zaYbhzUkWJHMnTBDYRrCM0I6MfGIehNtpUlW+MUZLEId/E3CD5ndfOtdwThVJV7reX58Qw1u/zYi3nWGHKCZzVfGiONRdtKxxHZe7lg7ONuY793EuqFIXvEYw0zKh9ORSZw8zEK6VQZiWIa9GRmZtACvVgoflZrWlTJCUXwBly4+lfeUBzvOLBKy8hKRHOzrh48oTzJ0/xcY8tL/5Qatt6nQlYOOyq5c7SEGLg7S885eJsx9/+kS8wThHXGNquIdvAovN0vud48TJtN3CcRt6+eIPduGNrIzFnppSRcUcatkxxD2nLdLHFBGjGhlJ6UsnsUyFYh28WFCwhZEIYmcYdT3cbtuPAhcnsvJD7hs44euuYNhuGTUGmSOeEB6/0LI8yxl7St47QLT708XouB5Vi1K6Yom0YUlYcV3vqXOHHGAuuYbMbsRZCLMQMOdVEc0bFL+uJUuETewWlVEjAuLn4rtSmfFp1ToX4YkrsxwkjuhCcURihazxd17LqO5bLnsVqwRAyU0xsKZC16FJE6PqeEMKN6HKBtjMoJIwF31r6ZYNzKtsyt6JPs2OmqJxIATkodM9RU92EEYqd5ZEK1jmi88Sux3nPUbfAtZ72aEm/bOgXDcve0zUO5yxi5VAwnKRoryQxiNU2H/OGrlFqjZ6MQq1zE8A52rgJMc4Q4+H65lzdoaTB2pqPsu+IjGT+N6N/zgw+qJtlzRPlchURmBCQFInDqPkS6wkh4FNl6s208VJqNHUlvQOah5hRqTl6Uzq5Xm+uzimMg9LmZ4rgiza9/YeHIhtSBXhnokJ1LAdyU/2ONRrVem2hcQ3GqKzWDAHkSk+fu0F775gLfedyiEO/KdH9IoTIVXbWgNEOR8VYaFva1YpmvWJ57y6uaxnPLlUZ/vETpu0WGQKW8pz5jQ/JSqh9xSZ22z2byx3r+z2N9ayOB3Iq7HeBx4/OVbncW8ZpwlvPopnIxYIVvHGc9HdY+CWtHZhSZBeGKolWcMVCgik64nZkt9kQponLacvR+gTvGsLlptbpFXIlSQySyAbW9+7QxDVmsdCyllK0AtgIzr/E8Z0evCOWwjBODGNgGG84BxWrKrMTSGRMUX04Q52wVGzYOpDCbthTSkJsrQzPtcI/c0g8zz1u5kJIay2dc6qm7fTEJKJJVOstTdtqC+SgjdzGacSipylbnWTfevquYdl3rJcdy2WHHQJ2QksLU1I1YaDtOqbNJfmGHFQuSYsabaFpLSJaGZ5TqTp76pPmSTKLbJpDTedVcrnMUUt17Naqinx2lrRcQNNyvLxD17as1j1Na2laQ9dqO3PnDUVUMy1RSKVQarO/w6Y940+HkgN7kJeaH9fbzr9om7XfTHVGOjbm4HxmyaMDhVyuRUkiB9mtmc53gJrQ6v+cq3zPNF05KKd9EmJVJFdnpBSCUorCx5krj1Sd03UHXoo22ZsPAClnht2WaRzIlSl4I0GpoO1XrFQnVaqUk1Sh1zkUnJ1OfU+NjKRc5fCW/RLv3AGWP9SglYy1+r2bxh8c1HVdOD0YKKOvxLnmSptoZilMUqCx2HVPc++E43v3WC7XGDE8/uKXGS4uuXzzMSYnDBlndb940ab0+cR+N7Dd7Nhc7rjz6pp+2bA7XjHuJvaXe548OmM/7lmedCQS7bJlSAERx6Lt6dsFR/0JuRS82TDEERlhbhTaSosphlA823LBs/SEuE/EbSE0Dp87Lp6eqVJImOqyFpqTFc2i5f69uywF+uMTpjgR4oRYwTrL8b27NL2AT+qgpsAwahrnw7bnclBhCpAj3qCMLkNlbiTEFO0nVMP6Aw21GEqElCruWq4mHFyvQpdDTciuaF+hRd/hvadbLGm6jkbANR4BcgkUIpasJVFitNlbjaScUYFV4kQad9que5wYdpdK/40BZ7StRKwFyDdhc+S0XPekzpKCIwftGppijaDylfwNc8K94kOzqvPMVBMRjBOsAW9Uj7BtPHf6JZ1rWLULvHP0bYtzVp2SE7IVBqfah1PJJDQqdjVX6KoQsHP+kG86bOpQN4+EMbFKHF0VYr9Is94jSC0m10UnB6dz7d/gKrE356yk1BwVMDPscjnQpFOcu0VHyjRSUiQOA9Z52pQR6zGu1bbwte7pSl9STSpcO1P156CqUPBOk9XTfss0aOPPlIJGzDW6etFmsmCiQJght0RBa7IEh5aE2MO1lTlpNBfQKmMFBILdk5LTeVPh+ZliH2vEGdJUx2i+S0JNOB/Yj4k5gtKaPqxV5ulywfLl+3jfICbz9I0vE3YDu8dPyVPApIl52/p6TNiP0rZnG7abPW9+6THbzZZpCKro0LWs7i1xrSVOgXEf2G8Hfrb5MqdvXeAaz3K9YTdd0rmeznWsl3dpfEffrmh8h7eGvW3Zu55Vs6I1nsV9y3674eFywZtvPeHRo6dcsCWMO86HpxiErl+yWC5ZLFec3Dthseh5+NLL5FK43GyZcmAqsRKoDav1EWILlAmyB3EsjwLG3rCSRKnKDLM4phH9t4OC+IwlU+GQuhjrIRRNfn7tz59p0aQJoWCNTkrXNLjkdfKXDJjD36W2jC5z4zg4XJtQF1QKlBy06DCoUrgusKtFcFM5E6nwmPcWg8WKIxtNTidbCxrzdR3CWqhcrirmZ/knjRLAOrSNtNHeXG2r6uSd83SNxxtVLXfOYpwlWj1wZKOMwZS1rcl8mjfXHgeG3rWENtcJANeijpvYUQ/6fyKHaO4QER0y6/UlcICOZqiDgyJCOdT9zariKUbtHRUDeRo17zmO2ha7tmufi4BLjbbmCX+IKq9vi9ecE3DYPKekauxaI5UP1yo3oMwxt8OYF3KZE6HMf3JtHXFwPMqBqLnAegjIqcoWlbnB4XVyxZWSxqHGiTrPrg1ZfocwsiI2GME22ga9W/YYDfEYdlvGiw3TbgdJIyctg/jox+1rWZwi035ie75ReauqzyjG4DtHDHMfp8w0BC5Ptxgj7Pd71dVuqxJKCDSNdhDvG1fZzM1BaHjZ9HS25aRtGZxj3J9xud3w5NwwjZEhF/ZpjzUOb5dI5/Grnn69YLFYslguyKmotioOi0ZHGuV2FMn1XzwUh/cd+SMgQsuN9UG6tVu7tVu7tVv7OnYzuNat3dqt3dqt3dp72K2DurVbu7Vbu7WPpd06qFu7tVu7tVv7WNqtg7q1W7u1W7u1j6XdOqhbu7Vbu7Vb+1jax85Bich3iMgPi8iliPwvb/p6bu3rm4j8kIj8s1/juU+JyEZE7Hu99hvJROQLIvJrvsZzv1JE/u6H9Xm3dmsfN3uRa/4jcVB1we3rhT4Skf9ARFbv8+2/G/ihUsq6lPIHP4rr+6js5/m9fz6/92O58ZdSvlRKWZVyA6Jn72Ef1b0qpfy/Synf8WFc4zei3cQauEkHf7vm32kf9pr/KCOo31BKWQF/P/BLgd/zPt/3aeDHv9aTs2f+GNsH/d639uLthd4rEbkR+bcbsF9oa+AX2vd9YfaRQ3yllK8Afx743vd6rYj8ReBXAX+onki+XUR+UET+iIj8FyKyBX6ViHxXPUGciciPi8hvvPYZ90Tkz4rIhYj8f0Xk94nIf/ORfcGvYc/zvQFE5F8VkZ+p0ObfFpF/9Npzv1dE/vi1nz8jIkVEnIj8fuBXcjVmf6i+5h+q3/+8/vkPXXv/D9Vx+Sv1PX+2jtv/49q4feba67/mZ1X7nIj8tfr8fyYid999nV/jO//TIvITInIqIv+liHz6/YzVh23Pe6+q/dJ6n07rqbkDEJHvF5Evzy+qJ+x/RUR+FNjWe/Y7ROSLIvJURP71D/fbfHzsA6yBT4rIfyoij+vYzHP5cyLyF+u/Panz9KQ+98eATwF/ts7l3/0RfZ33tNs1/xGs+Vma5sN8AF8Afk39+yfRiOh/W3/+V4E/93Xe+0PAP3vt5x8EzoFfjjrUNfDTwA8ADfDfAy6B76iv/xP1sQC+G3gd+G8+iu/5IX/vfxx4tX7H3wpsgVfqc78X+OPXXvsZVADGfY0xuwucAr8DlbP6H9ef7117/U8DnwOOgb8N/CTwa+rr/0PgP3iOz/oKuiiXwH8yX+vXu07gN9dr+K76ub8H+Csv4j59CPfqC8CP1ffdBf4y8Pvqc98PfPldr/2R+tq+zskN8A8DLfC/B+J8Ld/ojw86rqja7N8C/g91HnXAr6jPfSvwa+t4PQD+EvB//Gq/8xvl+9bnb9f8e6z5j/KmbYAz4IvAHwb69/nedw/8DwL/4bWffyXwFmCu/dt/VG+oBQLVWdXnfh8v1kF9oO/9VT7rR4Df9AEn6+8A/tq7Pu+vAv/Utdf/69ee+/eBP3/t598A/MhzfNa/c+257wamei++3mT988A/c+19BtgBn/6436v63v/5tZ//EeBn6t+/n5/roP7paz//G8CfuPbzso7XN5ODeu5xBb4PeDzPlfd47W8Gfvhdv/MmHdTtmv+I1vxHiYn/5lLKf/0hfdbr1/7+KvB6eWf3ti8Cr6GnK/eu11//+4uwD/S9ReR3Av8r9AYDrID7H/AaXkXH5LrNYzTbo2t/33+Vn+dE7/v5rNff9Zznva/908AfEJF//9q/Sf3cd/++j8p+PnP03d/51ff52lev/1xK2YrI0w94DR9X+yDj+kngi6WUn9OzQUQeAn8QPZyu0Y3t9Od9lR+e3a75j2jNf+xo5l/DrivavgF8Ut4p7fwpNOR8jMIln7j23Cc/+sv7+VnFYf+vwL+AhtEnKIQ06y5vUchytpff9RHvVvx9A50M120eo+e19/NZn3zXcwF48h6f+zrwPyulnFx79KWUv/IBrvEm7N3f+Y2v89rr9+fN6+8VkQVw78O9tG9Iex341NfIXfzb6Bh+vpRyBPx23qmV/+75/7G32zX//tb8N4qDum7/H/Tm/W4R8SLy/Wh4+ieKUhv/U+D3ishCRL4T+J03dqXv35bohHsMICL/E96ZaP0R4B8WrTE4Bv61d73/EfAt137+L4BvF5F/oiZVfysahv+5D3Bt7+ezfruIfHfdbP8t4D8u700z/aPAvyYi3wMgIsci8o9/gOu7KfvnReQTNTn8A8CffJ/v+4+BXy8iv0JEGnS8vhHX4Ydtfw113v+OiCxFpBORX16fW1NhNBF5DfiX3/Xed8//bwS7XfPvY82/8IUhIj8gIn/+g76/lDIBvxH4dajH/sPA7yyl/J36kn8BTQK+BfwxND81/rwu+kOwr/e9Syl/G8WE/yo68X4Rmnifn/+v0A3wR4G/wc+ddH8A+McqM+YPllKeAr8e+BeBp2ht2a8vpbzXCeerXdv7+aw/huYK30KT2+9ZYF1K+dPAvwv8CRG5QE+Pv+55r++jsPc5R/+fwF8AfrY+ft/7+exSyo8D/3x9/5soVPXlr/umbxJ7jzWQ0IPmtwJfQsfkt9an/zcohfsc+M/RQ+h1+7eB3yPK6v2XPopr/yB2u+Z/zuc+95r/pu8HJSL/LvByKeWfvOlrubVbu7Vbu7X3b9900IKIfKeIfF7U/gHgnwH+9E1f163d2q3d2q09n30zVravUVjvVeBtNIz+z270im7t1m7t1m7tue2bHuK7tVu7tVu7tW9M+6aD+G7t1m7t1m7tm8M+dg5KRH65iPxU1Yv6zTd9Pbf29U2eo/XE13vtN4rdzs9b+4VsL3q9f1TtNjbXHlmu5Og3IvLb3uPt/xbwh4pKtv+Zj+L6Pir7eX7vn8/v/Vhu/OVj2nriF+r8fBF2E2tAVJz0Wz+Kz36P33u73q/ZR7HePxKSRFHpeUAHE9Vier9SIJ/ma7TbEBFB82b5qz1/0/bz/N639oLsF+r8fBH2C2kN/EL6rjdlHyuIT0R+Bq2OnqXzW1GZ+N8vIn8ZFRb8Fvn6svKfFZG/JCph/1+LyP9ZrsnWf1xNRP6AiLwuKn3/N0TkV1577gdF5Pdd+/nQ0kG+RrsBEfmNoq1IzuoYfte1939BRP5lEflREdmKyP9NRF4SkT9/bdzuXHv91/ysau+r9cS7vq+Rq3YDT0XkT0mV7P+42i/k+fkiTES+R0T+KxF5Jtr87wfqv/8DIvJX6/x7U0T+kKgKByLyl+rb/1a9J7/1a/6Cj5Hdrvf3ud4/DEXf91Do/QLXlIZR5Yc//Byv/yG0svx70IjvJb6+FPxfBf49tBXHrwAuuKYK/KIeH+B7/3ZUk82hFdxvAV197gep7Rzqz9/Pz1XMvv67vh2Vg/q1qIjj70Zl7ptrr/9v61i+htLx/ybwS9CWBn8R+Def47Oep/XE3Jrgd9Vr+ET9nf8X4D/6BrhP3xTz8+M2tmh5yJt17nf1519Wn/vvAP9gHc/PAD8B/K5r7y3At36jfNf6/O16fx/r/YXfuA9wo38I+Leu/fw1peDRk0UEFtee++M3sQE87/f+Ku8/BX7xB5yw/2vgT1372aBCj99/7fW/7drz/wnwR679/L8A/sxzfNbztJ6YJ+xPAL/62nOvoIKT79lu4XZ+fmM8nmdsUUf+w+/ztb8L+NPXfv7YOagP8P7b9f5VHh8riO/r2LvbFXwtKfhXgWellN3XeO/H1kTkXxTtNHkuImeonuCHIr1fNCfyOh+C9P7X+KznaT0x26eBP11hhDN0Aif0lPeNZt/08/MF2CeBn/lqT4h21v5zIvKWqIbb/44PvjY+Fna73t/fev9GcVDXq4m/nhT8m8BdUYXd2b4R2m38SuBfAX4LcKeo9P45H5L0vogIOg4/b+n9r/FZz9N6YrbXgV9X3im93xVtm/2NZt/U8/MF2etot9evZn8E+DvAtxVtt/EDvLPdxjeU3a7397/ev1Ec1HX7mlLwpZQvAn8dbbfRiMj3oQrJH3dbo9DPY8CJyL8BHF17/keAf0RE7orIyyjEcd3eLb3/p4D/gYj8ahHxKMY9Ah+k19L7+awP0nrijwK/X7QvDiLyQER+0we4vo+bfTPOzxdhfw54WUR+lyj5ZC0iv6w+t0ZzdRvRFjr/3Lve+43WbuN2vb/P9X4T7Tb+qIj80Q/6/vLeUvC/DW0f/RRtgfAn+Xi02/h63/u/RNsh/yQaMg+8M4z+Y8DfQjHdv8DPnRDvaDdQSvm7aBL2/4S2JPkNwG8o2qrkuex9ftYHaT3xB4D/F/AXROQSTaD+sq//lo/efqHOzxdhX29sSymXaGL+N6CEgZ8CflV9+l8C/gngEm3y9+75/3uB/3ud/7/lI7j057bb9f5z7AOt9296LT4R+ZPA3yml/Js3fS23dmvvttv5eWu39rXtGxHi+7omIr9URD5Xeff/feA3AX/mhi/r1m4NuJ2ft3Zrz2PfjO02XkY7bt5Du3L+c6WUH77ZS7q1WzvY7fy8tVt7n/ZND/Hd2q3d2q3d2jemfdNBfLd2a7d2a7f2zWHPBfH95z/wPyqbYc8Xnz7l0bNLHp1t6buWvvV85sEdOmPoEhASJSaKAUSwjQUBERiniWkKOGsRYyhFSDkzxsQQI2NKRAzFWJp+TchwOUQ2+z3b/Y4yJsiwdC0iggCZTKYwpUgqBWMtBcgpIwgGoW9avHMcr9dMIfL04oKQEiHnQ1XBn/6bP/bCayv+7OePSmMLJ22hd0JvwZSEUOgceAfLVhBJCJlUMkUKYg2lQEyFMRbGCFOAlCEVAyIYI2QgU9iMiRAL+wi56FdO/pjsj9m/+irRe8LP/F1CCGxF2GbDNhlWYYvExNv7ntF49v2C0QiTEfZToKTE3TTiY6QZR4LJBCmYDFLgB59OL3RM/7F/8rdUaYFDxTopJUopWEAQLIK1HmubwxwqBJCM2IBzCesyMSZSyoRJyElI0ZCzoWRLyvqZUxopJZNypORcf6dQCuScybmQYiGXQs6ZFBM5Z2KM+nOKlJQpuVCyasyKCCVnQn1NyVn/LIW3vvLohY7ny/dfLhkhi0VyRHLktXsrHp6s+c2/5pdz73jBw5OGRCSVSAiemA3jlCkkCiOthdaCFdHvhsCsYoP+ibUgQsEQY2E3RJ6dbXh6tuHLT07ZjQG/WOOso3Oe1166x6sv3eXVB0csOoeMOwwFh5ApZAoYHSpT73BJhVIy5Eyuc+P7/qe//4WO50/91I8WnRORjD5inKDAojnBYKEYQpgIYeT8/CnTNFAkkzPECeKQSWNCnICBwSSwgm0dMUZCjDhvsc5ycnJE17asVysW3YJF12PEIgVSGsklkeKEdQ3OegS9JylmhnHgWf39Uxzx3uOcZdF3DNPI42fPiDGRc8IGixThf/iP/lMf6ng+l4OyXY/ERJwmTlY969WS9aqncZalBUnAkME5xHqatsFYoeSRUgopZ7wx4AwiAJkUojoQazHFYkthiJmcMsaOmFyQELA54ASC6OYTAVsfAJSCQSilMO525FwoudA2Db5taZyl8Q4pBSvQNR6XLT4XuLaZvWj7/ANwBhZWMLYgJjNMkZRKda1CSfqdc8mEkMlFnX0BQoIxwphgiBAzpJLVQVlBN5fCfoSpviYDSSCMI1O54NHZhgFYlh2SMyQoCSRDNmDE0rZrgmu46HoeDVve3m9ZpkJH4Q4aijtbHQMFe1N1lDL/8e7frwtPF6BuWJARMfXZRCmBEkeKZIopiAErEGNCMnUD1TGdzYhQigEsqQiUpHNboJQEpVw5rlwo1ZFRIpSMlFw3zYLMIui6ayMlYygUEZy13KzV9SHCfhi53Fn240QuPYvFgpAmpjQRi4dkiAZSScQixJwIZBatx1mLMRW4qY43l0yxHoxDmh4pQtNlWhZ0paecTYz7LWfPLum85+HJmq5ruXf3LstlR+sFMVw5KCkkyXpApp7GCuSUoDp8Azey5m1rsIDLFqShUEghkZOuOzFC41sgk+NEHCfGYYBWcNazOlpReqFM1ZWI8PJxj/UW33jEGIwY2mWLaxzdosEaowFBnZd18yVHIaVEGI0OEBExBovBNwus8eiQBXLRh0ih6zussWzcHnGCICx8j5MPn9LwXJ+YjUGcY9H1uLrxO6sTw8ZALokYI4hFxJJFT4O5FISCtxaKHq1LLlBKXciFnCK2ZDxQBF2UohvEaApjSZQUCDGTEziTwBisMVhjsWJx9VTmjC5mUxe2dw5vDIZCSnoq1XtVMPOmIDezoR7ZiAFszvq9KcSUCalAFqIUyNRTdGGKUA/a5AIxC2OuzifPDoqrCEqgIOyDELIcHFSU+tqcyCQKMNmMKQVXdHu3wIiQxHDeWC4QHk+Bp2PgdD8hRe+9OLCl4OqJGAqiN/GFj+e86VzffEopqA9IdVyszrmcCEEjILERkQQmQo4QE955jDU0rZBcoQyJgm6oiIH5AKFfWedzhiL10JOj3oyckVyvKdcbmBNyzQlhQCribuv1+WtOySA3M0XlmqsXdfxTTAxTZLPbsxv76rQ1eo+pEBIkacmmgGmIaSTnAaLgMrSd0yOCKRpmlwzOg7GI81gszlkyHucXnG1GjPG88ehtKAXnHU3X0i0XuMZirGBImHpIhQyS9aCB/orDAVYyWeqh4AbOpK1fqGMpV4e5YjWCliwY4/C+JZdMjIFcDDFCIhNtwhDJwZKDxVrBWIihRlcB2rbBtQaLwxRHHAvFFlwrNYovFBP19FkSpWi8mZI6Se88iOBcwVnLsl+QS6SUyBh3B2eFZPoajVmxNMZj5MPPGD2fg0Iw1tJ3PavVgtV6QQgjOQbCNijUkQJi0U1A6gaZM2IE5yy6XdYTTs4g6KClhC3q0MToSdVLwZjCaArbkigxEGMmJSFahe+wYKqjMlbP7d46jIhGTOhnMsM9MZBLwVAwRaEA+Srn7Rdla5N0X0uZSCEWiCkREuSkMVROUHIhpysYTw/kQswwFWEq6qBSgaihAsYYiuh3HJIQqiNLqEpjzoWc6mKlMDVZo9JskFIwAjsxjNVBnSXh8W7i6Thxto90UmhEN1ZDxpV6VK1/3JSVcm0DKIVSDy45V8diUBCoCNM0kFLEtwVjM9Ymcg4UIs4J1jhs60hJF3EqAVIEcajb8Dp36oGr5AJGgdWcks79+d9zgZQo1TlRajxWN34jBhHBWXeI8aiHPIvCYzdlQtG1KUJIiWEKXO4HdsNElvrVsh6sQoZsGrIx0BjSeElIkRwVLbC4+lnzGJSDg8J5rHG0tsP7Bctl4dn5jlyEN996VB2Up21b+uUC6wpGClYaRM+7mJJQYDtxmIhZF0UWQcRoNCUvfpI2vr86RNX/oOgcKHptzjXEGJmmSSHPBGNKOCs4CaQIMRhaI7gihEnhjlIyViyd90ixSLZMQ8K7Al5IsRBDprgJTMKaevAtiZQiMSQMRqMwXzDWYPteI9ycYErEVJjSHigsuh4rDms8ms358OfnczmolDNiLScnd2hah/cWK5lkhTJM5LowrRV8YxGjO6kx4OzsMBQHtkbDSusdOWbGcaweHhbWA+gNypleMp6I5MA0RaZYMGJJ1mFx+JzBWkwBMYZl02CtpXWunlYKmUzKhf0wkHImxYxzjtb7K8jhBuxyG8kFQhayFbI1DNkRi1CMp+TMbj+Ss0J9U5CaZ6qn1iIEhFBgVJSAWGquxYjm5wSmLMQCU1KMPolGFSUr5NmIOrhcRPMsaIQQrWMUy7MYuAyFvA20U+KkGNZSWElhAXQCrqBRU9bDTLmhDVVE3hFBiQgYHT+kYK0h58wUE+cXp8Q48eDhEdYJbWtIuZByIKZMwdK1HWJgsQTrM8Yl4hTJCXK0lCykKJQiUIw6IQpS0gHaM+g6sL5GXjI7HHVM+rCH+1bQwGKGnwUOh6ybsjmjE3NijIVn5xuOVz3DGJjCxDiOTKMesvxqAb6BriE3LSX2jFt1VG1p8NbStQ1Gbw3GG8QIYgyCwWOQlCgkei+sOse9kxXdouelV17i5P5d+vUKJxFDhmAUMky53oesUTw1DWBAnVbRw4lkbgLia9vF4fA023xA1HyoJuubpiP1mSn2bPcTQwwYYwiDZbub2O123LmzxnvPNO5JORHSyHq1ZLVaIuZCg4JG6PuGB/fvEEMihkx3FLBNBLPXg/EIUgxkS2v1DJdyRMQgYoFIIZHLSMoD07jFGMdqdYyRFmsapnFSmPJDtudyUKVkRISmQnuCYqamJuXn6MdawTlzOB1YIxhjDg9rNBBH9AKSRGIySNZTu3UKbeRJJ1JjCt6AM3LIZcWUMZLI2ZCNULKQRaE74xxOBG9MPUVnEgZmykDF/Y2Ad+7aZvHibago0FSEggWxhGJIRSjiyDkxBUWFSpLD30OFlhJCKEJEGLOeGVOF6FwREhrFhqK/J1THNiOsc0bmCq4XgliMeMQ4kjEEMQwpEWJGYqTJGRB6qY5JA1lEBKNo1Q3Hpe/cAGSebDULBTqXdWwnYhxBEiIWY/QglrMSJAqRVNShGAvWZVxWooOmAHJ1iEIpV8tJKBgjdY1wNRp1rhlz5aSsWIxYjaDmSKkosaJknb8l37RzurahIsRc2A0ju2EkxEgMkRgjKVoyGW89xjXQdBRbKE4Y9iMpFUIWpJg63+c9w2BsHS/meaQ5OivgraHvWxaLntXRinbR49oGWwRBoVdypkhCQ7pUHVSFm2W+9/XPXCO4F2zO+koOKfNgXoui9L4rQi8ghmkq7PeZ/VQQU0ihcLkJbDYD1i9oGstuG4gpMIUt4yTsB1EYmkK3MCwWPda0pJBIMbEyCd9lxO8ouZAmwdJgxTDPVEW3NA9LmffMRM6RmCa8UBEGTbGkaD4S1OQ5s1qp5hUs4xTYDRPW6aCGDFmEtm1oW0/bmoovg8nVIZWEcwZn27ppFHKcQARf7MHDQ8KI4XjZEUvGx0g0FumWbPMFZR+IqWBzOSTFS4FxP2giuplIzuP7rp7KFL83gHe2TgR1eFbAmJuTRn5MRxLDIB7vPN45QiikUhinTAww7oWSDWSYoqhDo5ARkqiTmp3czNAzCA69J1kKQdQxhTJnSrNGYBRsheVssiTfkVZ3Mf0a260Yzs/ZDgN5e4aPmXsURikEKTxsHEdOaEzQyW1aCAWZNHrIN4DzpTlB967TsRzmSSGlUBl6CWMK1kIpkZgiu/1EiHti2gMJkcJub7HW0LYeKIgt+CaTbcGIJ4zCNNYMUmnV+RhL4xvdcBMYUyMlY96R19GeNwbBHk78cy+clKqjzEomyvnDP6G+l13NlivLYkkYnp5tOFp2nF9uyGkixYlh1Fzq0hh80+KXRwhLIBKmwn635exiixHY+IHGGxpnWa16msbSNBZKIcXANE0M40gmYZxwcu+E1fER9199meWdI2g91lqMFKR0kDIpJEjXHqWQY821JH1kyWTijTv92eaoSSqFp6TMfrfn7PSUr3z5db7yladc7BxiGtr2mN1+y26/5empxfmWaRxJaWIcL2j8gPcbQthTSqLrhbZruXPyjFImKBN3HrQsVpaXPmk00CjQ2TW9azB9izMNYdzpDnMIcSGEiWkaiWkEyYS8Qyw4LzTFkfMNQ3xiDBRlLcWcGadAJ15PisZo3snauhihguvXiq2unyg1N4DUKMxYPdFIJmWlUveNw6CMoIURJgtHywBimcZEYx2LVuECZwxj1oSfnkSV5mvmJVYvQqFFTeDr5L6iv96E7cSTMAx4XDK4AmFSCHII+meMUoM/0RxSgUkqyi4zlVyhvVwTF/OGos9pFJXrSR90UzzsPtXPW7GIb+H4DrldMrQLxmFiygU3OKREiok0AsYKy8aydAYvuTp60U3U6Cn2Bg6oypiDdzgojXDq86VoQjhXeqxVGCPlSIkZ8kDKk0IcaJ6ipERBMCnVSKLSlQFrheItbecRHIbmEB15r05Lsq5xQQ4O6tCULWcEiylaNkCp9PRDPq9Utlsi38CGqrRwMKUcINsal7AfA/thZD+MGEnKQiyV9FAjTGc9xjjEeFzTYafALlxCVjawtwZvNcJpoyelmtOLsB8mZQoiGOfpVku65ZKmaynGMKWISMGauoaNRZxCy0U0J00BsZVNGVMlrGQk2huHTN9hBZ0kM5FhngslkvLEdjOBycS8YpogJqf56FKIUcjJUmhJ2UN0hOjIldE7hUxOI0IAJmLJ9BuDax19bzk+0jlrralzV2FWijrLUiP5VKPkaVR4e/B7RCzOa8nGR8E0fS4H5ZpGE/MR9iFxsdlz11la6/HeU0Rrmuacji5KlIqHAakkiZIhB91GZU4MeoVUQmGKARHhZN1jjGCzx+LoiyWJ43IfODvd0jjHg/UaaxU2vLRbwhRx4hGBnNMBair1lOKdxyMUfzU/nbE35qBOpasOylGmCCEw7UZSSIyh5vDQBKqhOigKE0XTPaZovkiMOqdytYnMqeJSIS4dg5nUQK1TA1Npt850sDwhffqznBrPMxynIbG3jj5NpGlgzwWtGBbGcrdvOXGGRSW3FDEkAjkq+MiLP/DrPa/ECKhnpJlKXtSxjLUWqZRM0zgQYRx3FIlgBkQiYlKtPSt1ry2UsRxG1VAwYmg8ONfR+hXOLLFmjRGH5pYUPrVUqvm1tRHrNaSYNHrCkFPdCGKk5ESOgRgjMSZldN1ABAX1bKcDSQGyGArCxXbH6WXD0/MLlp1j0drqwDNxGvFdpPMN1lust/T9JWHK7IZHhHEgjbvKYsycbI/oupblslc2WBb248QwTkTjsEvPna5jsV7SrpZECmfbDX1j8Vbo2hYrBusbstVIyTiLET0k6AYbDjnBnG4mIp1tjpbebTNhyoil8S1tKzgfOT27BFmyyieIaTC2I5UGkkGkxboW1ywxxmGMBdMRY2QcBoZ94fJ80vkshbcfb/Euc3nuePDSgrt/35q2bVksWpx3GLE4vKYP8kCMGjWN+5FxClxe7DFWiDGTj8B6x7o9wtvuQx+n53JQTbdgmiL73ZYpJlIRjHU46yg2UIrFeI+p+KnSuYuy90SLb5XabSghQMlKpTVCMVLp1JBkIpfClBOmQlLOQG+Eh6uOdetZicJYvdN6HzEwOi3Goyg3L6O1DyVmMJqEdd7XgKr+Tmb45WYc1OPNpESHFCBmSkykqW5ehxOzYGcHRSEXhdmph9X50oUKH5WaAwHdVGqUisgB1rgeQVmpjMiuI7QNl0V4ezvw1j5wdrEhjgN3G4VLmzSyMMJChKUFT8GkeugoCYkBzZBlxLz4E2rOCeDgpJR9dhXD55SJg0IVYRor6aHQrjKYSDYBkYSRhJGiOLwARZ2JESU7+HoociREIrgJ7wLeRYx4wBIr3TIX/YzDPJtZjjWvmKrjzEmjJC3iTcQUtZA3q8OivPgN1da8b6n1gjoL1fFOMTHEzK4Iy66nO15gBiFnh7gCpqiDqJCmd07rEr0nhYl9iBhRZt8wRGKC7X7EGIO3nnEKjCHiuw7fttw5ucditWS5WFPKRCaglEyLKV29NqNIjEWLf40ClFIyYiymnlzsHKLckH01gkbJmRgi++2eGBIijtX6HkfHmcZnMAtW6xVN0+C8Z7locdYSQtI9oQjO63MhTqSUGIeRnDJpUpgzl4w1EWMyY9ix3VqePZ1obOT4CDCFYsE0TklFkyVOmf0wEIdEDoU4aL3mTgYaP9J2I0sfwd4wScK3PSHv2Y8jU6oOyjic82QzUKyBxteaDw4LylhDEUMRxYstpZ6yi0J71Oe9bipjyZQcGXPCisGLxYsSL/yqI+XC2ggpZkrUrHwxBW8LyWZC1JufUcp2jEEp6BWGNMaAqfCLMbqAbigJ9fhyohSIodQK2uuKAvp/GcHVxHGoPCSlpBZmHzAzgOZkvEJ2Gj1kqQn7mvfTdWmYSWcm1wr/riX6lrMsPN4OfOX0kt3lFkmRo+MFjRXa2HIkhROB3hR8yZhUIZ2QkBSghAOm/qJtHjtN6lYSiMwsOCipEPaB/W7Hfr/B9+Aawa88mEgyESMaJen4X0F6JUWtuTEGbxRWlpwQAmLUQTVNwNoeiiGPHBQgrif/qTBrybXkKhdSyVqTljMpBqX/pkjO6qAo+QZGs6JO1OJvREkhNUqPKTPlwlAstD39yR3MLpKS1Oi84hfq5/HO0TQN3jdMZmAKEVch1v0YkRAZhgFjLYuuJ8RIiImVa/Ct4c7xHRarJYt+xRS2hJiQYgGH0NVcXp3nRpCDg4p6P40WqxrREoybOJS+0zFdkXagHp5CZLfb6+FKLMvlPY6PDb45R2zPer2iX/Qs+o71qsM5wzAELTeJBt+1+LY51HuO40SKibCbiDETU8HZgpAY9m+z22VOn02cHCeMLWCUmGa806B5coQpMexGrbdKkMdClkwqI1070vcjuY8Ulz708XouBxWSUp7ffvyYru9Zr9dQIEyTKhDMdFgAtKDOGsF6q7mPrAcbj4BYiqlgSdGNxYlBvCeURMjKaCtitcJcLKYIplR8vrEMJXO62WC8wzir9Se2EKZJz3pimcLENE0457DW4r1S2AWdpFJPr+UGikoBzjZT3bjkIA80D6K3Zj5ok7na8EulLGs0qk7IcHVSNQWMGLyYa7IvWv8TbYVVrcPP7Kms8Oxm2XNuhNefnfKVx0956/FTyrCnoeDKEStTuJ8zfYl0OSGSiaWQp4jkSlopSdUPboh2MkdQV79eacWgzinHpJX7MVFSIoyBVDJD8Igkkh8wWQu49ehU2WSowy8ikA1SDKYYvLWUkgnpknEKTHFD04wY04Npa352BlgLYTeRQiKOhZwMpOu4ve7k1mjUa6n5FKOHjJvImXz+89/KbrfnrTcfMY4TUwh442jalu/4zm/lE594mW/93u/leNXQLzxTOSOPGvnZHEm1cL9Ipu0ajFnx8isvs12vcM7UQ2ypDMDIftTTvTG+buZmXgA4sXjj8MYTi5BjpGkXdE3P3ZOHGDHkFBBrwBgSKkF1efmUQlKav7OItVj30RSWvh8r74jeClILs/f7kf12z8X5JU3jcV5zcil2gKXtHA9fXnD35Ii7J2uWfYOvLIftPvLG4z37sTDsxlr0r9lm54Tu2BJiIsZ8YFO//OpdYODs4m2+9KVLtptTPv2JT3G0WtP5npQi47jHOMtivSaVoHWubWGcRjbbDfuLPXko9GZNXma4/+GO1fM5qJAIITKFQNf1eO+qCkTWjXJ+4czeE3MgUFBAcjnAT/M5/4B2VPqZwWDFaFIfQy6i2nIFLeTNGoE11pCM1GR1PR1ZQayoMkJVMshFt6dSo5F6HtYE4OFxcxHUGJXI0VRHXdNChxqZK5M5pLr2LzWKqs7pKhGvY2+tVfxdika3VshS1RSspRiDsQayIYkhWMcAXO73bHY79tstNo44Cn5s6KxwZDI+JVyORNHDQkpVFaGqJVT08WZy0FWdRMrVFiByNWqmFox750jOERnJKZIySC1avDpoySHgnOnfUungShbS03imUEpUhY+cMLZThQ2pdT22wmKlkAmV8DDXarnDeqiZ2msXC3PsVay5kQF97RMvsbncEKY92+2O3W6Hcw1d3/PKKw956ZWHHN+9S98I1heweigKMWBTIKao6edZbqfxLJcrBGEc9uQUSCky7IdKAtFxTXkevzoY5V2Pim8bY7SesekwIsQoOt5WmFLQGsMYKCXhvFwVohqruZqPgc3rRdEepexba3EeFSVIuvatEdrW0rWWrnU0jcU7S985jA00ZyP7MRJCQIzWAZVKvvCN0Rp1q+C/NZbV0RExePbDOZvtgJRLHtzZ0TqPw9d5mjHW0viOlA0pG9rYaK43F8IYKdPAtB9VheJDtudyUI/efkKMkbsn92gar5DTOJFKprNzLU2tqzGVyFwEg0N9eaaEoKF9PelmZ0m5MAYt9Co5MaVMLJmAnixKGmmdpXWGRhQXXzQNpjMcnazxfYvvWoK7pOwnLoYNKRZSTrjW0/Yd/lpBrtaefDyE3PWcrluTEU2oHyC6eZMVjTyrLgZZqvMHXLnC+RXGE5K3ZO9IqyUug8sF1zgwwr5W11sSudZbBVOIYthnwyYmTi8uGHZ7hEhnMkuBu2HkbizcQRVDKEpNi4LKMTHvHSrHelPw/gzlzXlGqcQYYwyutThr6F9pGPYb9rsNb7z999hPl6rukHOFohpa29D5TudJ0dyTq+xUg5DSQK40dRFUSiYnUsmM4RmEC3yzVn1J8bUQVzBeRykFMMlhrSgJoxRSKuSi0lP1H8EJgqtCty/efvWv/QcZx5HTp2c8fvyEJ0+e4H1L3/d8z+d/MavVkvV6ieSJlEbCFBmGkSdPNvR9oGnvslovcX6JsRZjDUdHR1rPtOwZ9juGYcfF2QXDMNSvrRqJOp+VQIUIu/0ecYZm1ZCSyu24xuBbA1bluopoRFxS4nJ7yTjtOb98BBTatmFljui6BuctxtxUO7zZJamVqipCyYgB33pc4zHOsdnsOTvb1NxkYXMxsb0858tf3mEsNI3lO771PmPIbLcD28uJzWWg6XTOlyJghWQM1oCzhu0QVYMvJcR4lkcPYYLN6cTl6YjLG8oKJZ81DU3b0DSeYXfJOOx5cvGY/W5kugzYorWXF6eXxCl+6CP1XHcoJo02rHVorUI8SFwotbtKdogm6HNRzFLpuVTmU42o6j1KYomSiWKrCEEBW6mmRZlNIQWkLlrrtWZE8XCDtQ7rPNZ7XNNgY6nRF4cTrHW6MESMToZKK5/lb26yUHeOmWbsfJYuna9mToPMqttSWUmHXJNcRarOOcQKtA4aT+kbFdwLV6KoQi12LpV+XjR6SrVAOGYlWzS+oe8W9GWio+Ccw5A1J4IcCn0FDsrQVBr7TC+/CR+lophSabN6Sm5bVRZpvKdxjmXXcXluEJJ+rzAz7ippBosRh3ct3jq0Lk/VUKRG33EMWkTLPJ8AU6q03AQkcrFQHKZESoWrjdM8iXUa1plUZpEDjNH1ldEc6XyGEuGdCMULtKOjJSE0OGuq0oanaVqatuX4aEXbdVirQChFwV1Vaw9VkXsixJYY4yxYrocFa2nblpwjKQWscxhbEZlSy0Hq+lXinUbqc/2aGPCNwzcW1yiECEoUrloppDwS4kBKE1AIsRDjRIwTTTPXYr5YK4fojwqK1HzkjDwUiAnSENmPhd0+MI6RynSiIFV2S7PRbrJcXI4qQTRFYsp1363jgZYF5VwPsrXuKc8lDgacbUnSkUpHzo5c9FDgnMO2vsKNDucDKRWcafEus+gSThqc8TS+x9r2Qx+v5zxC6AwzxpLiSIiBdrGgca4qSyi9zIpGS9OgTJKMFsV21uC8xTeOlLRuZ8iOSCF4g8rzJ2yrCrwpJNI0Me5HYkwMJWMWPZ232DTjq40yV5oW3ydcMUyckaXQiME4h3VOnSJ1XtQkakmqpmxvUCnaiD3AepZ3OihT4Y6ZNSU1LzGnyw+Jd2Nw1tEue0zjmRaO4i150cI+QgnkVJRem5NGpzlRjKUYR/Ato3Fsk2XC0DUdpulYrI9p046uRHzOlBzYBiBMVRFaITCFuLTOar6qq5jqxVrfduqMmoa2bZU+2y/wjWe57Gm8Z7XsefMrX6aUkaZxDMFoJYSotJHqizX03ZK2aVSU0wjeW1LSXMlAJMWRLJOSMCo+ZyiQY2VVjZTikNIh4sF4XNcj2VW1XkHGjEm6qdbiQQ76ftfyFIcTwQu21aqjlJbVcsGdO8eMn5xofIO1jqZdKIRZIx0xTg+dSduIxDgxTnv86HCNxdVx1LlsaJtWa8xSwjd7xhDZDyOIsFg2FZIXYs5IyoSYCDEQppFuYWgXK5arnq5tyWhXBNvMh4jElLYMYUMsA6Vk0jRhBs3Ftl2H8zcQQdWcm9pcD0fViRRyEbb7xHa7Z7OdePJsy2anmnzG6GE8TpkxJaZRGaRffnMDBbZDZJrUMc0tZpw1CsWForqSVMWHXLTEwTm8W5LtSDKRLD1iWpbruzStx7fNfOHQW6zpWC4vaJvI8eoBXdvRth2uazX39yHbc92h7X5QeujmgmXfsOy0x5IzllI0StK8R0IKNN5RvMPYBitgq3pxIjMW1Z/bidVckm8wtmByoV0tMc5Sxj2y37MfB/JUSJPSWjOZbHKV7DGqvDBG9qOqLO/GAKlUR5iYDif8SigQU2XiuZKc+dCH9v2ZE6nCtRxyEHqWf/dmVDTvAYej9AypZbFkYwnGIWLYTJqDM16wxVZtRKeObNnpiWjR0/RHNN2aslgyIFy++TZlTGz2hf2wZxh2TKcTYwxsuoYknth72A/IMNKGiMmpVgXphQkCWapI7Ysf1Qf372Ot6ucpNNHQtR3OWZquwVqDbz2Fwn6Yat5DKeNFEjElZaiOE8s26qK2TinK1jHXA4lzylY80PVFyRg1AW7kcHdUaTpp759iBCkejLaisa7gah5lZvfp/65ypFQtyZsISa315FywNuFcUSqz9RirBz9jNLLKIalIe9Zr7vuOtutoWqd5jzL3fkLFoGtEFGIghKAEjGnScpAa2ihvUCEwk+d8Z1bSU2PxWXOo1lUdQwERJTyZOv+NA7FVMkoyMQeGac8YdlXU98VamrTGEzsXbZuaIxVSTGw2e17/0iPGqTBNsN2MjEMkZWUj7/eDCmSkQkl6EDo/u6AUmGImZdXqzEmRhOJVOKEUQ8mBaZTaqwumMVSk3lFwGLdkN8L5NnGynegS9GLw3ml5DlpWdP/l1yi1hMI5p8iN+2hqSZ/LQe12A+Ow4/zpE9yDe9xZr3DWYa0hhagnfGMOfW2axteLbjCSsaJhaSyZUYTRwJ4KfRiPQ7AitMcnOO8ouwswBre9ZIyJqUwMSeOsbPTEkcSQYqGMsTqnyG6YMAirBmJWpd4ZhnLOq36UqI7UTRbpArhKFVd5Vs0l5TKn5XkHrnPVzKJapaCLGJJxGhGJZRMmINNE7e1iHOR+gWsali/fo12tOHrpAavjh6yO7mPWRww584Uf/VHyZmB/Edicn7M5P+fJ6VNCLGyahugMk+0w4rDFQNrjila7z7nrGZKsqocvbBxne3BPHVTf93jvK61Z8fgrQVK9vmEctdaswtZZhJICU8yUNDGtI94nmq722bles2ctJEuZJUqkKkFUeSSlqStkV3Im4UglUawqvyuD1OBcoUVosFrcViGuuTVCLvmgIHETyjzWet30s2At+GJUvdpanHUYZ7AOYjbaX6i2hen7Xh1U4ysEWMdiPlyVQqyFyCEExmlkHKcaiRlm/K3U187jkXJiHCeazlOKqthYVwkPdfKZotqc1gnGCWLL4Z7ENEEQhmmHNrB7sZZDrBGnZpvFzCrxEGNmt9nzldcfk7IlF892OzFWVmQIgd1uX+F6naspFc7OJv3sQqXSqxSVYsS2KrwYpgpPp6JjPI5a4uJcA+IQ17MdBpDExWYiZbTI2vnDIc2VhrZbHODwj/oM+lwO6m/+rR/DCfSu8PDuHRZ9z7jfswuBadjTeMudOysaq4npOZNSitWisXFHNoVsoPRrbLPg3tGnyMUShsxwueFisyWPCV8MrmkwqcV3DSFql97c9BTrCKKwXEqJaRcYSuTLbz/lfLtnP2Ua50i692CvOaBUMuSqzF4gzWvhhpyU14yDdnlFWYylZvpLbZcB6OIudQ9DHwbAGALKBiyxUJzFv/QJ+rv3ePit30G3WNItFpiuwzQN7fEa4xymbXB2QbI9O4ExRe5/7tu5K5bvXd3h6Ztv8eTNN/krj9/k0dOn/FR8gnOWrmt5uV/y8sN78OwpZdiRt5FSFMqdWx7M7MkXbXfv3NFI0fvagkUZS4dCZWbiicXYhpQEJZo1OFMwzhIkod9GKepihJgjw2aPVFHTYgXxTjccBCsOoWq+Fc1BmUORryhDq0abIgmXoZREUwwiXe1hpvBLyjUfYQqSVdMyayz2wsfTVAkh06gTsDaRU432jTJGrVWiTM4Z57xGrH5F261YrXqMbTT6vHZgSTGx2+64vLxgc3nB5eUlwzBhneY7+sVS25ukhEjNr4qpyvGFcQgYG5mmSNNmmprTm6O0Ajjf0LQdGMMsdkqeyCFzsXnGbnB87gWP5+bpGdY7mvUS24BrqqRQrX/zVnjl4TG5OFK2PH48ME2B7eUzdrtnDOMpfX9E16+xptE6x1kaiXqvrNX8pwjjNA/IVWdmU0tuwrjF+4blYomp83q8vMSZSNxP3Lm74HPNyzStHqhU8uvF2nOy+J7StZ6HJwtEDI33TLut4vI5KyPNmAPdmwNsrkn1IUaKVVzZOY9tW5r1ETkbYGTYD4RS2E4Blwqti6SYapGvqMSKtWTrELT+JJXMFDNDjGx3A9vdoO0oMoSccUKlqpbD7D3AJ2jon83hHPzCzVY6simqeCAiyHUo75rjnDfXQ42DQDZCNoZkLcU3SNvRHt+ju/uQxcufoF2taZdLaBqwFuk7sgihZIbsKKGwixNjikjTslysePUTn2LhPa0VVsslT4zl2bBDrKHLwrpbEdue0vVQMnmr5JNMrkWZ5bC9v2hr25ZDTyUzU8MVepyFdLXmVBPBgm56UlQWp3EGKZFIVGKNqZ2Ji0pwWSrNXLP9GkGJIOIoRZ1PyRGF967nGqoyiIkYESyJgjaCmyWV5jKCA+Q8z1Gytlf5CMQ438sqoknBYGu+ZC6G5hp7k6o24azFOZU+895jnTncBy0lqSLF1yjVIWgklXLCt1rI27YtIQSASnhxh8ghZ2U8xijKfMxVAZx6CKkXba2KCBhjDrR+naORaRqVCfiCbdoP2OQxNWdTslVafcykKUAprBYNqThSVpZnKZkQBvIUiWlHTgURR9uoUEIus9oHiNGC71KUUEGtn5s7OeecadqW4izDPpHiiOSIazzeO6a4x0rkcgNd52qh+Vf5Il9lKn4U7Uuey0H9zKNz7p2seemVV2iXK45WC2yJpNTR9kuaxrNcLgjTQAgjYQq1KV5hTML5ZLBtg288/eKEdnnEYrFimiJDOkfKgDUjb3z5KdvdwObygsYLd48WqkeWFWturHb1zTGx22zYRtiOhZC95qdKYkrwbDfQOaG1Sk/Xkgp7SEbP7KAS0s1QpABNQaoQ58wxOPQJmnM7RRWik1xzThQihmg87vgO7fFdVp/+FM3xCc2rr1G6Jaduze4ysH/6NheXl0zjxLTdEWNgGHbsh8gwRLbTCMbwLd/+LXzL5z7HL/n8f5d12/Hg/h2++CPfiwP+8o/9DfbDnmcXu9pexfMtqxPWqxPGzZ4SBiQNCl9VustNsPjMtRzGbLkKXsbaGyuLNo67e/chX3n9S+x3AzlYvHesVi3WZIwtdAulIy8WHTFFQh5JtUWHoSBGyKLaZ84vKUkLgDNQStSWD6J3EoIyIFPCGGHZGmwUShhJ2RKyxdtO61dQJ5rJxJyYIgxTJn0E/Xbe06RShwsKn9mCpKhss6i1bzFBnCZySiz6JY3tCEl1N/f7HcZ6xDRM46iNAkFFWys8572n63qsa+kWK7q+486dO2y3W7bbLW3X4ivMhBhSpB5qjQqiVla+WDSnYxX667oVIo7lcs04Dez3l+pgS613uwHMdHuxwbUNeK95nFiYgiq3P330hHEYWbRZD+RYFn1D13nSQROv0LZLclKpOGMMfXeXnDPDuGUat4Rpe2gHk+tuYcjVYTsWjcc3hlTOSePEs8sNbdfQ9p5Fb2lbz9GdBetjS9dZrCnk/N4U8hvPQWlxm8NYTy5CiKn+u6HtO61XMKr8UCTWTmGJkCdCVpzaGo9tdDJa48jTpI8wYErEW2i8ZXKemJRhZ30D1mFcRpyjWIvUIuFYIOTClLImB7NUCiWEVLBicJLJZj6VcnBMzEW6B1XbF28zKaLM1aQ12IOrfA4KHpEOVOiae3Ies1oj62PK0Ql71zJiYKukkmmEi+2O892O02dPGfcDabenVGrvbj+y20/sY8T6lk9++pPK9iuC9w39YsW9l17hwbMz2p/+CaaYGac9u3HkdLfjou0p1rK3HmLEFYMrRce73EwElSvrkVKqKkc5OKg0Oyg0V9p3HX23YGi2hCFp/m8E21ot6qx9mgQto2icY4yzwKtuABrtKKZfMpVt7aglgAc7wN1VcV+qdnIxCjfHosXOBq0MiLkwJZ3XISamqBTiF23GXOWArmL4fAhFcyykOJHGQBwD3jmsOOJe24Ts93uQCWQgTJFScm1DMpNBdGyapsP5wmK5pGlbrHf6aBy+aXDO1fqmmWzRXBXaloK2ArqiGIlYnGsoudB3K0AYx6F+K8H79kbYuzGpR5/2IzUtxn4YGIeJ/WbHNKooK0bbglBGrImsliti7gFH3x/jm4WqxFd2nxhoMuQYiTJCmZj79xljcdbjfUvT6Lr2jSOEmaAyag1fCOS2IZdCiCPjtOdyc0HKEyGOWKuHsaZplGhmrm1WH5E9l4M6OTpivVrhm5YQM2cXOyza46lbKOU0xkRCu8Fa78Ekhs2eMSYClkW7ZHl0QtNoP/v92TOmYSBePsOWwrKxvHT/LkfrwnY/0DaO9V3VzyhFK9QBXNeSgKkovLcbNbkdU1GNrgqPWQM+Cx4qxVXD4ZCSSgvlUvv33IyHmqOkXKnvmsCZJYtqrQza0zLAoWAz4XH9mu4TnyKf3CMd3+GtYWT37ILNV56SxZBdw+PTU94+PeXxW28y7ra0ZFpnOV71XO72bPZ7gjj61RFWvg8jjnGIiPW03RGf/a7P4/s1f/3Hf4ySH7Hb7TjbbhlSwjULjroesT3OQj+NdGR6uLEIKh7o2NWBMFNu57OkXpc3jpP1mgd372Ny5o03X2fcChbL6qSjcQ2SLZINJalDW/Ydso+kcNVawsKh/xO2Qn4lUcTqIaJo9mgei5y1p5qoUCK5hWlMxDDRii78MenhagiJcdLW3+M4XfW6eoE2w5ul9vfKtdEjqWCyJY4jl8+ekqdECZk791/CLVp20wVhDGy2G6agLR9AW9zcv39f65wyxCwkDKvVEc55jk/uaM6PhGsdDS1N3+KMU5ZfUvLdAo9zjeoCZu2OQFX4MMYgeLrG0tiOXDJ+e8luNx2aIx6tjg6yZy/SQoY4RkK8ZGpH2sZzdrFhtx84e/KMcRjYXu4Q24BtieMp3k18+tOfo9ASi3bRdc4Rw6Bz0BqMaWmb+wgNKRlKviDngPNNzTOt6foFXb9gfXyE88J+K+z3wjS+jZSJFFSGK5jI+dlTYthS8oaua+m6ltXyiK7tefDwodZFvYBC5+f6DZ9+6T6LvmXhPfvdyBtvPuHOUc9i0ZJSwVQaqPYwytprx2gE1BiDOMdyuaLvl1gxlJgYLzeEaSAPO5z3il+vViyWjlgKrrHcvXukys7x2rYXk2LUotIm1tlDcy3vfYUj5kSutqB3xpBy7USbi+YEsm4yN9G7CJR1M3+nueC5SJ5Z5QDaxiIXQskqT2Qcsj4mr47Ytz2bYWQzvs3ZdmBMWSe3c6ROi5xzjlrjY1Q30VpPcYI0FpM9d07uc3LvPq999jPce/klYi4H531y5wEpZD7z2W/DuobTszMMhpwypxdn7Pc7mjjhSyKIIaIdVVW/7sUP6jBNh/zNXFXETNfmkDqicZYiLS89fEDfNuQ4EVNAYmF7PrDZ7uiWDt8aju+0GAfGRkIYoTJWDVTShMoZWUNV0FZh2ZJSjRIUTlK5I4DMFCd1brahSKKkQioTRgpTtISYGUaVFQsxkEqqXVJfrImxtWwgHeBnKVqQbYshxkK4HIhjII8Je8/Q+o5+EbE+4XzHOGWmUCW2jGW5WiFAmCLsDFPMTMMeZydOju8cyBcS0HlbtG1O1zYaeRpVk8lJdR+tVL3EomSiWerfipIBWt8TfMS7HusszluadoF3N1AHlQtidRxKLkxTYHN5yW63I4aJFANpGlUZ3ESWnULCWRrG0HC+9bp3ihJNUk7ky2eIeIzZMQyXhDDU9iwq4RVjpmQYxgG3veRic4YxMI1PidOO7Va7i4sI+32maRJxCiwWwrB19H2m6xKtD7SNJwTLer3kwUsnH/lwPbeDctbSec+wG3jz8hLvHuC8r9CQJixjqjBIpXC7psEWTyvCYrmk7xe1z01g2l4Qp5Ey7jBGw3u/XiKup1svMc7QLxS/HqvoK6Vw/uwMY8aaxFbmitSw0zX6tYR0aCXtfYO3hrHWCKXKnMm54Pho8NP3ZVWwVspMN50bGlypFGQREgr9SDEU43DrE/JqxdS0PL3c8Phiw3azJ+fC0ckdpG2JzpBSULy9LuyYI6lY8BZTPE7g3ssPefjKa7z2LZ/m7r2H6qCSPk5O7uFsw6c+8zlCTPz0T/0UkCBlTi/OsdaysI62ZKiil1IyTb5SWn+RNoYrB3VdQFcDav27FaOKDs7w0sOHHK2WTLstu92W84szNvs922lLt3I0ncWwwDWC84lcVNdNatGpvUakKNTaE8nKVC3uUIh5rZExUAghkI3BmYZIqvdFc1shOmLM7KegVOyUNJ91Aw5fan2RJtNqIUFVC7HFIAHCZiDsJ+IQMNnQupauz/i20PfCOCWmUJs+GstyuaztO0aKWGIqjNs9VnQtWFGWpDFFnX3RnFfbLxQFsUUlomaFGtEyDa05kwOzw1qFZxvX0biAdx2+9bU+rtO95AZMUBJPzokYAtvLSzbbTSWNBFKY9HBjLOsu03fCkD2y8zw7dyQpOFO0A3ma2O8uELFY0xPiSIwTIYbaGy1jTKiH+cMFAIUcd5Ss/cZmpRm/STgnjPuJroPdxtF1mb5LGC5ovMG5jvAwc//hiX6ccP2DP1R7rjv00lody26zIaak8vDJkFGGjTEWh5BMIpTIfj+QKbi2wTqHbzxd3yuv3mijw/7+PcK4Z3dhsE2HaztcUzfQ1h5IAt65Q2PCnAtN48iLnrv37sHZBVMqNG1DKFSFiKROslHM9OTkmK7xbHcT4xg4v9xenaqZFRxevM2kB4qufyNX21CSQraW2HTYrmfV9uQI2Vh2J/fYAF959JiQMqkU2r7FGcPRekG0lnMSqWjxqW9qK/LW0fc9xw8e8sk79zi6c5fv+vzfx4OXXuW1T36SpunIlKoIbYkSiD5jFy2rO8d85tOfZX9xyv7yjH2KxBQYlyvafsnJ/U+xjJFlnBgffZm037zw8cw51E3r4JYOOnjea+t25ywlq4JB13sav+K7v/c72W03vPXWm3z50RvsH+21rQCFzq1wFsgDqYBkDZSsiOLxvsX2PbloDzJjIEXLlLXlQY4wy/YYakuZMOEsmKYjkpjIhGmDJEtOnpL1oNJYobWa15GbCPOlEnJqNAj1MCcg2WCxdKbXeqZ9gmQw4lkuvUb9IeHbyqqNkZQy2+22ss6EfrHgvrHsmwtKTOx3FzS5YXGnJzWWUhxhGIkxsLh7F2MMU5oI40QctzxpDcOu5+FL97HeY3yjfcikaH1eKWz3G6Y40i1amrahbZuruqkXbK0H54RFJ2zPd+wuLvjyl77A09MzpgKNddzpFhydHLM+OUaMYYqJv/kTb3FxYdhuJvZmh5gdF+dvMU1bxmGnqQDjcNZi3ZVyY86lpjpsZWCWa21dlG1aSlb0ynvN+RtLGM+xzvLsaUPXrei6Ja31NI2j5KdsLgsvv3yPbtHQde4jEzl5Lge19JaxZIaUICptVsUdr1pqX1fhnqagDqrvMM7RtB3O+9oDSl/XdR2BQvJ7rc8xBmsEsZAw5KIRmanwl+LLGecc3me6vsdt9xyUo42Qo9ZkaMNEDrpfXduSi+YG0uXmQM08tKe/ATuQkedjds2bKFIhJCNE73GLJX51zBQyBcPQtOxS4iIk5hS8dzo5rXekCoEgWmy39kcYKXgpLBYLHr7yCg9feYUHL7/Kt3/Hd3L3/kNW6xVgSVFPeYIw7Aa2+y0hjAiFk+UaM+zJYhnzRKIg3uGXC9YPXmIRJvppIjx7m7i/iTGdNci0Qt+IqkCr6rXV4mxriCVpZElGLJzcOaJtHftxy9nmnL7tEFvw1tLYFmc0/yIlM2tnzHNu1v2bOQTFWIpVlt9cMlBqdKxpRSHVdiWFomrzkkklKLutaOM9W1VPdO5faQW+UKsHpqzMImWGHXTjClIM3nhMsbrukjoe3zVIKaQ8afSeZ9JcYr8faqNNi3OOvjfIpJHDOOxBEovc4Ay0zhLynpzRUow612MMpDBwfnpKGHYsFi1N19MtDcY6hcqreO8URmKK2k/OWZU4OpA+XvBwogiD5EiOE2HYc3lxwen5OaEIy67jpFsoI3q1RESwY2CaRsYRQvCI2SJySZguKmtvp3uZCI1vaHJz6CAxhbHeRlFmaC6HXlGlXB3LU3LEaA/98sKoyined/R9IUyW0EA7wdnpwHo9MAwB31hE/AEp+LDtuRxUT+0kuujZjold0N46wzCpM8pKhQ1TJMXMdrcn5oRZ9pimoel62sbjnWfYbikh4sVpC2PTUpIQcsItEiZHSFpcRkyaqAWt5RHD8XLJ5FtNSj87ZVslkfbDyOnlBkrBm4Kse7q+o2lbuq5juT6mudzy+OyS/TAyjBNHnfaPuTG74o7rj7VYNzaeqWnZrNd09x/QPXjImApDKryxGUhty53P3Ofy4pTN5SnZaufhYgKpCEOIrI+PuffSK/yiX/S9PHjwgFdfeshqteLevfss10cs12usb0EMm+2gm4hXZe4cAz/2w/8tX/jZn+aHf+gvYkPmlf4EXywlCbtYwBk++YlP88orr/L5X/RLcLsdZnPJTz56i+ly98KHUlsBiepDGlU7aKw7OChQ3bNpHNhuL7m4OKXkyKc++Rp+YXnw8l36ZccnP/Eq2+2WnCPrVYeYTJGRYbhgGC4pJSA5a/1f0rECbbyZr8GzB5E+Ubl/I+UgfEqOhBzIBqRVeR6xsDQttlhMNNpnrTaeO1C0X6AZazG16eI4TUzDhEyCyYpmSCgsu2P2dkLKjt12xG12LNYryIVtmhiGgWEY8d4fHHrMiWG/15qnpqG7c0IcB372p34c31gwA8vVgrvLBbvTU/b7kWdvv4VvG9pFz7DZsN2c85M//mViHPnUpz/JvQcP+Lbv+m6WR2uW66XS9FPk8uKMQsY1HmuhbYQYy0Gh40XasNlTcuLs7VGZe/uR08uB04tBlUZSJt5JIAVn4OnZJWcXe56dBja7TEqn9DbRtYajh6/VFIphmhJn57tDdBvDlmnacX769wjTwDRNdToKKUWMMdy585oW4BI5Oz1juz3X+kFRJKJtV9y792nkjmXR3FHmqlFCz7AfuDjb0TSO1Ro+Kmf/XA7K1kXXOlW8xTga73G2ho8FhfqsxbpKA0+JEBOpFJz3xJiZxh27iw05Rmzfa6GkeC3ey4lhv0PCxDjLjxU5RESp1rnkIuynwGazYbPdstvtVD+uanoJYLx5B4w3t17wVfmcSfH9kGpHtBuxmao5n1Q1csoiBOMYjOW8CLuYcPtRVccRgvMUo0WjU07sxonJqkR+2ltShu0+8HB1zIMHD/nsZ7+FV155hXt379B3Hev1Eb7taJqOVHOHqrOtkcFms+Hi7JRHX/wij/7e32N6dkpTDNDhi9A3PcedJ7eelx68xP17D1gfHWN9g3Eqimr9h69u/F7mnMWKaMGo0fYado5yjBZ6OmNJXUcuic32nITgWo9zlrbX+dE4S+s9IQQKQeG2dgFZi2uDktbrqVFhk3fI80B1UKa2Gq81d6Um8+t/uSSoKufFKmXdGYNJygDMMZBCZNrvSenDb2fwXiYahioykTNTCDCByYbGNNisUjlt17NYrChACJozQpSwlLKWHcxF1DkXRAJhSoe6NVN/R8oJQmK33dA1DrvsNXIqqrTgnFW6v9V2MzlGpv3A08dPa/71LsfjQAgTmELKmWG3O2j2ySE3eTOgiXGOnIQcAliPaQXrW4xrtMzGKcyWUma/H3j0+G2enm7Y7XeEaHDO0DTQtYJ3LdY6+tWSaYqA11ySCPs9OFtYdD3ROZZdVlkqa4kpYIzllVde1b5wJfLs1HP6jKrYASkF2mbFenXMer1itVrQ9dqDqu1Uvmq/H3V9zNIdH4E9n4MqM+7u6BrPSjxHyxVd19WBMZonspamaeH0GTFlduNIu+jpFguePHqbJ2+/zcWzM0rKyCc/jTeqAxXCjmEYON+/pdCR9Vjn6dolYdJEX66n1l0IbIaRN56e8eajxzx6/ITTyx3DFBhj1k0JR6yqvgqdqWRK03Ysjo7YjJPSpaeJaF786XS2uc6mIEQgiSEaw9Z3nBnLF6fI9PSc6WKgXS5xbcvi6B4IjOPI2eWGt09PKRbECM1mS46ZYTPwiU9/C9/5Xd/NL/u+7+MTn/gEMermUVIhxsw4BELQkP9KsLbw5Etf4qd+7Mf4O3/pL/PG3/tZzNkF1nimneDblrt3HnL37prmeMX3fM/nOTo+4eTkLnYZMOuB/ugul4vTFz6WfdtiRDf5GSKztb23M8rqatqW5WpByncYpx3DuGN9csxy2XN8tOLJW2/z5K23iUfHhDHwpde/hPGGk9UJnXd0o+PZbmJKSUVxS6bEoA3hTHVEwsE5WdeSS1Dme6nQs9E4K6RwcKAkjZqaIgqhj4Fhu2W/3bLdbbX534s2I7q5e0fMif1uTx4zkgziLJ1p6LolR3fv0/VrknHsx4kuRKz3rNYrFsslKWXaVg8sp6dnjON4YI6IiCopZI0cQph49vgxfeO4c7SqvdAKKUyYruVosYAwkMcdy66jhIm3vvwGz5484/x8x/2XH3D/4f2DUG1IQclXzkJfO7BJ7VL8gq1brUkpU2yr6uu5sDx+g/WU8SRWfUvftYzjyKPHT/jrP/I3efPtpyR5maZZcXy8YL3MrBeGpm/xTce9lz5BmBLL5TNV6LGep08d+22LI2KNcHS0VG3ErmEYR4y1fNu3fbc2nSXyla+8zle+8jreKykmhoRzPYv+ZY6O7rJen+BbhceXC0/fW85Ozzk+aUnx6KBS/2HbczmoxrrD6TDGTIrjoejQNtpzp4glp6hdSlNhCpHd6SViG0LITFNg3A94Y7DO0/c9UmA/TJxfXPLs2RNMp2oP4xhw1rNaHqvjCYHNfmCKke04sR1G3n56xvnFhu3ljpKKno6tnqC7psWJRXLGe0vTesQ7bMr0iwXGaSJ3TEkp5zdgUgWwy3yqLpC9g6Zl+cqrjGJgDMQIYxTKlLElYbuJGCPnZ6dszi+JY1BGoLW4rgUPdIauW9J1S6apsNmM7MahlgJEctKcgbPmAIHNbMamaVkt19y7e5+42RLaBa1vOTl5gDs6wq6P8HdWNMue9foY37RM00RTc1Kl6yh9/8LH0xmvhAjn9GE9fatKBKv1US1AXmpfHFMwVrjYnBGSUrpNVT1frHokW1V8fh1lfQJiLb7x2NEixZAOBd9XCh9zUGysoRiLSEFyTdzngGa05RBBGdFcaQqRPMJu2FCmTNxMTMPINI5X8kIv2KSK2tqqWm29owTtT2QahzEecQ2Ntbi2ZXSQnWEMI14yXdvjnKq1N02DiHBycqLCsLjamiMTyZQcWaxWjMOWYXfBbrtju1FChTFONRWBFINCqilxtFjSWou3joxh3A5szy5xYugXHdYZQprwbaORtRga43D+qgXPizTfd0iMSEzkEFXNvT5EVCLMNQ1jCOx3e56cPuPJ6VMWiwXWepxrQSZintidPaMIXO5HQNsT9f0C5/taH+X5ls99jrb1HB8vVQwA0bSLsRzfOVE2ZIm8nF+l7xcq7CuQYsS5hkV/T3N6xrDd7diPkf3e0LaWMPUcnyx5+FKg7RVJ+7DtuRyUrw3FEoVSAjGoSKgYKrTjiLk2GEtZq+FD5HQ3YH2nLePHQBhGOufompZ+0RNDZIqRs4sL3nr0Nss7K4yznD87xztPOErspsBuCrx9fsluHNkOE/th5NnTc0KIxKB9pJy15LpBtb5VEc5c8N7Rdh4ahy3QLZZY50kF7eB7U4VQs2PMRXX1SqF4jywWLF95jaGAnF6QLkfGYSSPBZcjfpwYhj1PHr/NNOxJY6xqG1UyR7STcdstaNsF45i42Axc7JTOOo7hIOy6WixoGofzldlUCk3bslofcf/+A8o4MSxWNG3H8Uuvsrh/n8Xd+yyO19r5szK9pjBhKlEjtw2l6174cDrjsMbQOE/btHRNy3qlUf7dew/pup7lak3TWJzX7P3T08d84fWfZozq5H3rWCw7vG2ZhghSxW8LByFaYy2SaznA7LyYG88pFG6suaKY15q7HCtd3KqkRSoJW/RGpBDJQ6JcjJQxEzd180qRIuVGSiHmtuvO6abuG08ea0sL7zFWZXt802gH6BwJosSEYgpdbWhojTa+UyWClmkKUMyhzcaQAylHlus1hcT5s8fsdns2my051zY+td9QChM5RkpMrJcrVn2Pt579OHF2uWN7voFciNMC5yxTHGmqg2qso3MNi9US51/8eLqupQSDGQM5BKZ6MJqCKu/MqZDL/cDFZsOzszOenZ5i3Qltt1TlcRIhFc7OnzFOI+XpGd43HK3WOF/oUHFcax2f/exnWa56ju8sGYbAMAaNio1lsVgqnJcDbdty7959Zj5zzlrSs1ys2Q8Du/2e04sd2+2ONCmretwteOmVu4xjqIr/Ny11JEIshSFEtvuBy92e1bCmCQ0RsMaBXyB2xBpLv1yxHUd+9id/mrPziVcfvkZr4OFLryBhwggM+y3jMLG5PIecWfUrvuUz38FyteLJm2+w2+05P73gchg52488OrtkMwWmDHHKxGxpfcO6tfiuASOc7be4OhEbY3AUVV12hv7OHdyU2GVL8+ajWrD74kUjDza39s6Z1HSERc8nfvHfz/KV12i+83toLja4v/Wj5P1ThnFTacuWsRsY9nv22w1pHInTgGs6DIbGNfi2xTUti6MTjG/ZDhPlcstu2JNyJqVSO8w2JGAMkWHcY4zQes/q3j0+tz4B6zh9+oRnz56CtbTHx+AbxOuCFwolam1QzpntMHIZRk73G86m/Qsfzldf+QTeK/Tc9wsWfc9yucR7haJqlq02z4NXXv0Ey6M1bzz+CmMYef3NL2NSxBBYdNqm3LWeaRp5cvqMfgFdL1hvMFgK4VBorY5q7o5VlK1aFPpW6E8qcxCsSVU0NRNjhBwYNwN5mwgXBYm1ULWoEC2mvEM66YWZyKGEpO16VuuCK56SoF8t8aYB8Yc+fJ1r8FK4CAPjuOcsBpxtcVZldoy1WOMoRWi79tDpOKaJVBJ3Hjyg6ztKChhrOD+/YH10TNN2NF2PABfn5+wuL9hvNnSN6u555ynFsFoIy27Jol3S27a2moikfeT00TPGy4Gzt59x76UHtIuO+w9vYEirooZzmiNVREqbFOZSeHZxycXlJeebDcb0tN0xghCmgadP38DagrX/f/b+PNq2M13vwn7v18w5V7Pb06mkkqq3fet2xtgY09nXXGziYGxg0MXg2MRhZEBwSGKwITahcSBxDIxkgIczML1pbHAawJAApjFOaN1c+1bdW7d6SSXp6Jyz27XWbL4uf7zfWntLJamkKp29VXXPO8Y6Z+/V7bm+Nef3ds/7PJnV5USYJqY0YIxw4h7TVgHBWbdgPl/gmo4pwFe/8gbnF5dcXFzi2wbnPIvFwQ7pl1Mgp6jDkggpBZbLBZ/4RKP96IsLvvHVb3BxcUnbdMxnC6w4NpvA0AcWex8BkISpEZyyyVQod0mUnCr0VNCR+4RUoIQxjtPzNalYXn/4hHuHC7r9hSL0SmYYJ8ZhYBgGLTcZx95sj/3lAWlvgy2Gs8enxCko6mWY6Keo+kdFEKOMxZ3TCA2B9djvWIO2N4NGv03bUmyhm004r3DMmJQj7DZMZQB0aBjvYbnH3sdf4uilT8LzH2fenGC7OdgLlWlPmSTshvpiCKSoEWW2+l2Uyozu2g7rGsQ6QkqMk0ZquXIQlqKd4mEYSCkybC4xVph1HcvZkvlywfELL9Ds7WH29sgimFlHLJAAYkRSqiSokEtmGHuG1SXroWdTIa43aYeHRzS+4WBvn9lsxnw2q6ULLUelVPsoRWHLznm6rgMRYoqcr9Z0RmitylsUKcqZJ5lhGnGtoxVlSjdmy1qwHWLdFvnq4DV1XkgMpViFF1e4+bZgv/3uc0yUmMkxU0JCouCyrQ5CagZ1G3NQ8pYsqmlaUqMcfNY7dZ6iVYqSC8YrWlHqqEeYEsVCtnp+GKMOSgl2VTkbZyvnpmO+3MMaYdwcEqeBOE2q3lv5+HKMDH3PNGqDvnGK6rXG4pzQNqKS9K7BitWvJSlyM06REjPTOOHbli5MN76cCqrRAXIdT6gM7QU2w4izhtV6w7ofGMcJYxq8nyEIOQU2a51PstYyjZkQC+MUgMwgmb6f8H7g+MjivcoU5Qzn5z1n52vOz1c01UFNU2Wz2DqoHFGdKsgpkZJhsxlZrwbWq4HLizWXF5ekuQZfISQl8Y4aZN86WSxGdW+6yhg8X+6x7BZ448kxgU0Yp9QkCok1lGJ4cnLBG2+e8OjxKZ/79It89lMvsjdrFSl12hOHkdWjFWWYYIr0j85pp8Jxu8DPCxezBReXA3HdUzYDJmXmB3PtSC/meJRrz4mScZqoA3p9KkwN5IUyIXtX+xGtIYrh6M4B+0d7XJ5f7KSSb9oyOpsQYmb24AWOf/hH+OxP/jqOXvokXz49p4yFxeFd2tM1rjuFummmKn09rNfKnF0SKQ5MJfGtN15nttjjjnimnDHeEUtmSoEQIyqV0pBTol9v+Ok//2d58+HrfP3rX0GMcHCwz6c+9Rk++clPc+fec+x//EXs8V1CCAz9hpC0dh6N6OBwVNqVcej51isv861vfp1XXn2Z1emTG1/Pz//Qj2oZyTd1fkjnbaAwjgNn56d85as/B0ZJ3bplQyZwMTxh069Yb85Z+JaFa7WckROlG0FGxmmFp8EmTyFjxeJNVjkYoFTOPd1ytvpegpBJKPJ0Oz+0lacoCUrIMBUaPFhHMKOi0rfvWwqF9NSGId/LRFTwzhVoal8z9IlQEjFnsBnvDClGYtaAhSzMu0adwhh0xouJNE7kVOg3A8579vYPcEYHQ+dtw6z1dPOOnCYe3L3D6eM3OXvyiMViiW985SQcuDg/J4zqvJqmBaOzT52zzBYNTeNpfENMEzFExiFUHsPCGCNhzLyRHmK95S/9lTe7niUo9boRi28aOoOq1YpwcnLG5eUFOQ61P2Zo/Izl3FJyYBxWXF6c08326eb7WOdo3YyCVO2sAMVDbjg7O2ezWfEX/kJL2y5omgOMWbBYNruMf72ZtGWTorJO5Ky6UGKwtmEYE1/72qtM45YL0uL8bEcSm9JEipWC7iOB4qvDiE4MiUSO7KK/nJT3vqRAmibiODIMozLlpsQ0Bc7OL3jj0RO89+wtZrTeMXcepkha9TBOyBQ4PTklhcB80bLpe8YQiCXVer+yRMQUlb14p52DTlALNNaSSyWBZTucllVHJWu5r/GOpvW0bcNGDOY2rn50wj5jyEYwswX+8Jgeg5kil/3AECJN2+oMh7N6nEU322kcKvQ47+hoxKh21lYTRyq0LJer4WVrdONer1asLi74xte+yuuvvcprr7+CiHC6p2Jx0zjxC4zn4OiOQseLTquXsFVC1RM0ThPDZsPJm2/y6OFD3nz4BsPQK6noDVvbznQ417odNZBmMIWYI5thzcNH3yLmiURgtmwoJnGxOmWYeqbQY3KCEEH04p3Khigj2QSmVDBjJgY9n4y5YqLPgmY6RQuJpiisuTZldbYsbYXjdEicpOmoZO3x4qB4RbMRK7sIbxmTu2HbIu2UA9LaohRmJquYIIniroaWSyXqtaJD0cYLxRiyGMKg58swrHHJ03YtxTpVQKggEBHBGqeD9d3sqnFfCtM4MA0DU9CNVbavFVVZEKtZmc72lBrdKwu8Ai2qxE4qDP2IDO/5wZ+KpXQ107llGvcVgOJ9g5BZ90NVKlcgh3OOaZz0XJw2lftR8KWt5AVaBrbW4F2Ldx0xrpimyMnJI9p2zWKRd1UvZZJQCL4y1afqoCJdN9exoQwxFPr16a7a0lQgXNNodqZZVtSZvlKeCmz/g4EkmkaJVTOkMiroYZi0hjpOVDFrhvUlw/qSJ0+e8OTJiU6fp8zFasOXv/Yy33z1NebzOW3jOd7bp7OWA+OQYUAGBQPMu5bF0YJQEudDzyoEirdEKUw5MKwvKEY3X1fAI9jlnMZalvNOm9PGVtx/ZhgDfT+RQ8R4ofWG+axhuTdndXrGbXWhxgxFHKVtkYM7+HvP87VHp+SLgSfrSy77gcVyj66b4bxX1F8KXJw+od+smMKg5RHnVMKkaWlnc5pujnXazDfG7ATiUkqVXQHeeO1VvvQzX+RP/ud/gte+9QqFSghqha9++csc7B/ya6fIJz/9WV586dNVesIwjTp/Ng4bUpyI/YqTR4/44k/9Gd545WUefusV9qyKRd60OeeuMS7IldPOmSmOnJ4/5gtf+nNshks2wwo/N4grjGmNsdC2njEJl9EwxjUxj/T5UtfGFNJkGQarkXAB39kdj1mRmkMVgxTBFtHSV4zEODHGkZCU+DWFTIlAABvBJ8Osmel3GYQ4RaZ+UlqlTAVk3IJlFLGHxRoBZ3BekaDDMNDYQufmOsDvHGEcySnrPJo1uG5ONkIycNpvCNOG9eWp0uo0hs44snHkousYGqfcetYxXyw0+5wGwjRycfqEcZrox4GmaWlnC6RpwTqdJbJO565iVBTcOFQxxIQYLQOCOqn1uYKFbtpCmCpeRnuhRixd17G3XHB8dMw4DKzWF3if8V6zaOcsm42ev+N4QcoDYzjH+xneN+zt3dcen5/hmxbvW05PVwzDhpdffoxzLfv7d3W+z3vGURHAU6hySdbssqj79+7TtR0xDAzDhsePH7JcHrBYHnB052N07aL2EAMxrglhUkDMU2qRfLAelNNas9TyRIoRiZCD6puYoufzNA6M40i/2TANA8d7c/YWM6xvakQTySkzDiPnXDBYB76hSZlGYLI6cX9+eU4fAo9XK8ZUGFNmXRKjoBlU0i9ZcsbUzKjzns7qsKbUIcCUC5eXa4yx3FmvsW1LbixOCrPG4UTLMbdhMWXEg+k6LvqBy9df59VvvMYGYba/VG6x2axyyDlKVPh+CMpPpuSZFrGewzv3mO8dcPzgebrZjMXygOVyqT2MGj2pumhms77kjddf5Stf+hmGzQpnhLabKZqsZMI48OTxI772lS8xTSNdO8cYy2bds9pcslpfkoJuHK+//HVOHj3k1Ze/yeb8DHJU7kV78x6qVEShksht+zta2jw7P2e1WmvmgsXaRmmuSmYaE4XEMAxIihAjofSkEogEnVXLnjxCGQtpnJBS2DtuMI2ee0pZVNiqImpkmSkxkQDB4myDKVmzWqOsEjbp3JOt4xGzecdkJsKoonRFKm3SLVAd5ZrZlEpvZOvAq7GGGCekaB9DvIIdlGIo72bPRLSKIaXgxODE4CuJdMmpUn1tFZkN0zgoRVW5knsPQRGrW0JVjKoXNG2DqxpFdV5av/daTdhC/621dYA41EAtMQz9rcyVpa28TpFa1VDi4GmadNxj1rKY3WWcJmXmF4MzlrZpoSRG5/QaTYlcNqQcOTgQmtazmM/ZPzhgb2+PlM/IZeD05JK2jbT+mOM7C46Pjri4vGAcJzaboOX+tlVS4hh44fl77C0XdJ3l8eNHnJx8i5xHYuxZLBqWyznjMDGNib7fMI6jjhwlyOnDh+1/IAclpvJsx1Qv/EiOlRx2GHTyXbT8NI4jfb9hGgfu7M8x1jPf2+ficqW39YYpRC5ioLUW281YWOV/itYwmMIblxdcDgOvn16Cs4h1rItCwkMdwC1JyGmrVAqhaej29xUtJFupabi8XFNyoV+taXJCpMFKoWu9zmR96Ev7/iyVjBXBtC0Xw8DZa2/w3331Zc6Gic/8ws9yeOcOH/vUp7Sp7BwpVWbzMJFSwGzlN1zD4Z17HN29x3Mf/4RGmG3LcrnUIVB0k7HWkmJgvVnx8PXX+OqXv8TYb2icYTlfgBTGMGqjdt3zta9+mX7T87HnPo7zLcMQ2PRr+nFDSRPTsOGbX/8aT958g9deeQVbEo6ENf5W5Azy1jlty8G1HDpOI6dn51yuN5RiMOJwrsWKAn3CmJUFOvfkpLckI0VyJXn1uGIJKwjrwrQZETKus7gMzgrFZJVKSZVVJVQKq6yEj2IdvpbBxAo5ZTIJkwVJpToog5t1CMJmtdnJed8W2b7SAZXKEqPXk7XKBh9jQIrVwEcMzrc4W3nZKi2T9tGyspQj+LrhIkYlScTot5YVRDFVUUGDSpaIwBSULmmzXpGBroJemrbFiHb6tnOEylh/xegBYJ3TkvUUGUdtO0zTuHO+N2kZ7Yfmyk2YkqikSpgqDVPL3nzJ49MTVn2vLOXW0DSdQse9r5RykRxypS0C7y2L5Yw7dw+5e+8uJyevsNmc0fcrjGTapnD3eMFLL93n8RPLpu85Px8xRiWQpknX5IXn73J0eMDdu3t882XLn/upRC4jITjmM8f+fsdpmpjGqPv7NBFCqg7qlkESSnUS2ax7Si50lfxVrGVY90iKiKPKAxcO9/eZ+4YHdzRq2Wwm2taxzAuemy91VsRpP8RRmDUtnfdMKbIZRl59cs75MPLmpbL1XinPqmKmEsMYpgQhJcK6pxlGpphorWXpLXuLOd7N2Wx6Uky8+a3XWO4vOXzuDnNjuLO35GHjGG6Jiy+T0U554mJ9waMnhhiVmHUclEPLOac8gosFjy/P2KzWhBgogG87XLvAdwtmy33a2YJpChjj2NtrWSwWHBwcqPRARQ6tLwOPHj3k7OyEzWaFd6oc22/W5JJJJWOAedfy5OFDpn7g5U99hr29Q2bLQ0V0WcfJ6WMuzk547dVXWJ+f6mBm45i5lnnb4G9BsbSvmeV6veHy8pLVasXJyQl933NxekK/WdP6PbybkQiIScQcaMqaacycnDwiy5osa3C6QXrb4uv8zqzpmEnL47VGkK+8+gTfGeZHLbiC2KyM0mLp7AxrLLZR4lljISeVUkghUqYMfUaCYGKm2AQkvG8ge2bzjnEYmYZtL++WCI1r9q3XHaqnlCxIphC1p1HJSq3VYVxsxZ1TdKg2RHyxiG04XO6pw541eLE4MbVfKJTabyq1R5JipN/0bNZrQHDOMpvN6kyVUaBJ2Yohau8qCEBW7j+pIJNSiDHunFLT3DwNF0CIna5n0ErSFAvrzcjF5Yo33nhVxyI+8Slms45juYuxM8ASYmS9PqMfzwlhIoSgny1n3nzzFXzTcnLykPPzhzx5coc3Hr7Oxfl5/QaEECMFwboG33S0RTiQGdY1zOf79P2GYdjgG0U2r/qBdT8xhcIUBvph4ks/90W6bs56vaJksFhCyBQ8KRmeRsX0AzmoWNPjaZoUhWKdkgsawxCiwkvDVNEgluV8TvYeQ2DsR9KmBytaf3bazLS+lmJSpG1U/XHaRKaY2IRIHyJDrFDs7WxJ5VUTlB06lVJlNhIhJ9phIDpHg9+pkE6Vzufy/AKRwt6RUqjMm5a2aWia29GG2RKL5pwYaylDBJzVvtG2LOecxdfoKcTATs7ZeXyrTM7eN1jrK6qmaM25aWjbdsdJaI0O8W3Wa8ZRhc26mcqfqIZMZe2ukfKwWUMpnJ+eIGLpFvuAZtPj0LNeXbK+vGQcelUvtobWu8qFd/NO/3J9yTRNnJ+dc35+ztnFGU8eP6Hve4bVWkXu5Oq7LqWWiItHkiWOhSiJZBSRptLsGev1grTWY6XDGGUumDaBkAUzE8SDaENUkQ0OnYGyHrGokyqaLRi08ZxihmyQXLTkJQkj1KjZE2NEjOzO/5u2LUu10jOpg9Tjkwp7VwehaEN9UJQVt96RdwPKRbXsaawHJ4hzSjuE9kTLtjKr70raAqJqiRZjdpUEW8uEqvBbnVvZgjVkF4xtS9o7E+qIgLmVkmlKlpIzKQkhQYgqSTJOgcvVJaUkxjAgxjHrZrhmD6lqwilPOOdr6TOi8PTMpr/Ejgq9F0mkpHOlwzBoqZPCFALjqOS0ChpBVXGdx/tG2eGTJxeVRRkuBlbrnpR0b0Lg7OwE5y7p+w3Oevbmh3XkyGhl57YzqIuLC6YpcHmxZrlYMl92zBcLMJbN5owpTkxxw97+AcdHR+zdv4ctmYtHr3D6JPBmf8bSzmmWc2xtinbeVqijJeTC1A+UMSCpsDfbR2wg0OtmnbLqUJUCUWu4U4lEgSQOcRqHnY4TsRSOFzNF+ljP6vyMHCNMgcOLPbwXTNtxvLfH8w8esJgtPvTFfT/Wo6We2Pf07YwCHB8ekmxTmdv1BLNVMgTRsotxHuMs88U+3fKAbnmIazQ6G8eRxWLB/fv3dz2obf3diLBerzk5OWEYR4Wqdh2Nb+hmM1JKDONY+4g6DBynidde+QYpRu499zGl7qFwdnLC44cPCf0GSZF54+mcpTGilfZbQEb+F3/yv2AaR85Oz5hqpBlT1BmdJJSsc0YhjHqLAylHTHHM7R4PDl7grH/CeW9IZQAy3UwHTedNRU2RODye0c4MFxtq5mSwDmxT6gCm0zk00yBuhoYiCecNYhO2g5B6QtpAzJSUCcNINglrVF9tb3+pTkFgHEZ1ZjdsivLKquabyu5zYDK+VcLWIpFUIrEyu0tR8mXtEGeGdc9wccnJaw8J48jB3SOauZaglQk+1nMKStH6aCETw0i/3lTGGiWbdc4pwSnahxmrioJUschpmki1/G+qI9psNuScaZoG77UEuQ3ibtouVwHQ3mMImXFK9H1iGAL92DOFkZ/76pe5f+/j3L/3Ag+eewnfdHzrtVeYYk/bLSsbfqygp0iYJqCwXp9zcf6YV+v6gGCdJabIK69+i9PTC372S1/l6M4R3UyBGb7pVCKFjLPw+PFjQgh89Stf57L2qhQIbLg4P9l9jq5dIHuOlC3TZNlsNLs+uvPhrtcHK/EV5QzzzuKsYEXhs1ClrEsmDZHYTsRpAucw1tDMOtrFjNlywazRW54yJRVK0ovOGpUpcCI0Fa237BrECGNU0b2YEmMQYs4oAXlB0q7NqizFRpCszdliDLHAGCN91ZtpnMWsHI9PL+iWmXauJ/7e8sNd2PdrQ9EeWYyFKanGllTdq0zdINJ2zqBG0iXXQWiVMOnmyx3Sr21aCqVmo37nsLZEu8aY3VqWUqr8gdU5scbuYLkpRh10pJBTZH15wXr/gnHstZwaApv1ms16rcJnSaHRJQs5QdoNr96sPXrzISFE1uuVwmArtL4UZWcoKZNDJKWgMxw5Vd4ygzjPoluSSqRQGKc1lEhrPI00dZxBWcyNK6qyGyy4XDdDZacwVjdRzWhbjGvJOZByUWowUVaT4p3qJg1AqoAOMjEGrHU41+C8DqlOk84T3bSVim/fsmRQEikr4ssobRtZks6AlayzXkV2jsaQGDY9l+cXnD05IQwjs8UM620V56xOL+fKRqF9wxR1CD3GoAEpAFdIxlJyrTAkHR8RIcbEOI5KHJArxLzORG6zq+3P25GLm7Ytci6XjF42QjdbsLd3xP7+MUKh8TOca+p1qTd1pgbvW2KYiG5iChNkqd9L5YPMhZjiTtfpCsG7wVqHdUrge3R8xPHxPt61tM1C4eIx6rD9MJJLIiZdf2M121fsieBcp6KzzkMxxJAJoTyVWdIPBpJAaLyjO1jircFJJExrMgZHJZAde/oEaZjw947puoZ2/4A933A/FeazBYtuzuWTc8b1wJM3z5EMnfV4LzRGKC10KYG39FOkE2FMiTElLsaBMSWGkEgpQ8i1RJNoxGNFudJc40nOscmJadNzvtoQp4mEZR0Lq/QtDg4PODg8YNHN2Fvcjoc6z0JGiCGzCYUxZIovFFNqZpmYgsqCFBT1F3LG+BY/mzE/OOLg6K7elvtad6ewv39A2zRM08jp6YlKbAt1s5uuegrWIfXEXSz3asahbTFiYRQdVn38+E2Md5ycvrkrSTx+/JiTJydM04jJgQiYFDTqd02F9d6sffNrX9Pe5rbMI6K9h5SZhpEcE2lS9KM1Bl+l21trEefZ6+Ys53schwdcXp4Sw0DjIs4WSkgkGUglIk7wAm22Ou5gM9YZnLc7YtXZfInzHdbPGaeecdqQaqDQtk7h/gmm81GhuilRYlGdpKbBNw1N2yDWshlHnkqR/33YblMvkZxjRZBGrAdKIaseMLlEpEjdtAKUhJTI6ZPHPPz6q7z2la8TxonF3gKssFcOa7krksNVf0gBDRND39d5ulwzJj1nFSSgDAn6v7J2lDJxcXGhPamSSSnsghOgaiHpe++ugRu2fghaMi2VRSYbHjx4qarWdqQccWLo2g4jts59RtUDy4X5/KAGDJkQpvq49pl2BTbRYEJBGIqGHMeRruvwjeVHf/zzfPozn+K5j91Tpd1kWF2uWa02iBH6Tc83vvE1xmnNNK2Vzb7yKVrrmM2WzOf7dJ0KnPZ9YLOJyFMIoD6ggzIVyalghYRGWEWgq8Ok4g2RQhxHHr7xJr6xPPjYPUISsvFcbnouLtbkfiJNCr/1zjGbL7BW1U/LWLAxMCalxo+zTp1STspOnDOhNlHHUck0Y4y0lSzWitLCmyqDkCTSep00399bMpt17B/s68b76AlhsbgVxBmg4AxR5dxcClIRklrmMOQihCkixtLMZiz2D8liaGae2WLJ/Y89z/Gd+xwf3+No/4C2krd2s47Do0PatqFpmhoJS+U+a2h8izVe+wWovPtiuaQUaNqOy7MzLig0Y8cURjabFefnZzx58w2mkGqp95TN5pKYIrYUnW01dbCzCPY2avxhggKhUkhRrgYSyVp2cl65Wo0pGCk7XaFtthpiJMWADRkihGEkmMw4ZFDqOUQcxoH1SomUiBRcRd3pWss2iq2DlRhIJAqRkqNSHzkQL7jGIaMSyOYcSVHLVaWSznrvyLm58fWE2hMqNcspuQ5nBmIakWLVIeWJTMIZr8PFVqP5HKNmUgVsrXOYXJCUSTERgzKipCnosD/syszjOOjj9ZZS0n5cLiQyIqVWBgrOqsimlvjq92c1SPG+AipK0VGNa9nUTVuMKuJZSt30veX+/fvs7yvT/jD0bFaXymxelKeplKDMPEVwrqWbLTFG6vxRYRq3TlyvN6kMKttWoFgDjcd7i3VSg4yJvu8xGGLUOdFQA6BxGrXCkCYdJUgQjTDrVHG3aed432Gso2BUWT0pGcKHbR9oV95CTYuYnXOqs5B0bUsR8G3D+WZFv1lzsVmBEfaPjkhANo7LizWr8ws6MdgiJIHGWbrFnMYIzgiZgBGYYsLWTXpMiTYnGu+IpZDFkHJiHJUwMYRA13W4ynpcssKGSyqkUugah7eO/b09ZvM5h0dHPHr0iCdPTijjRONvx0FNW+W0esGY6qC2KX0uKgCHMTSzOYv9Q8R7Fgf7LPf3ef6Fj3P37n3u3LnP3aNDurbRzdcafKsU+DqJf7VxetfgXaOT6mL1xBbDYrnEWstyb0/ZKoYB37YkEuvNGntxxuM3HxJi3DmofrOq2V2hykTqpopmhjdtOYRa3w910j3tZniaxiltj5Mdm4apwUCKUcXvxrHKkSRsSkgqDKuRRCS7hF04/NzjOyo/HRqQkchFMFVGu1T2BRXwNJWDsygDC5GUdG7QOxBncI2lxC16LRETTNOI9R5bKwK3MqhbnXypfaiclXtxu4FRDDkLKSthsFRFY1Oklqi1J2WKqPSNqHgjdY4yhknXfKybcKXtGfoNU9WAm+r1nVLagR5EN6OaHReMWHIuDMNICBMxTLStxzm3E0rcjlkoAOh2BktS6hUWIhZrWprGc29xn1zA+zmry0veeOM1pmlNjL32+6BmguB9uyPH3WwulIezskNwzUFhdFB8W0mw1iuDvxNSPc/Xqx6BOsxcVGU45TrbNOkQfhgBrb60zQIRg/cq6WHq4HPOKOl2+vDP0A8MM8dYMI6+Eo86UZXL2WJP99lSaIxl7ls2ZUOYEo9fe4RrG2ZtxyavSGMdXBRRmKkBQ0KKwWRhJg5jM5d5wAvMW89MGhBDzBW1FwIpJybvKEXBAbPZbBchpRyZppGtWKGrk+T7c0/TWjpr6Jylcw5JUeu4t2Fe2a4xWh6zY09rjsBbBgu2JOJmxTAM9H2vTjdnpnFkdX7Bt8qrnD054bXZyyznc7xTuQlrLbaWkYyI9vuKFgLGvufJm29w/uREVY2r2NjDN97YzZGcPHnM2fkZQ53GH/oNKSW+/MUvEGvGenl+RqhS0gUhbJFpRQUYndwCiu/iYrehaiRpdqq63tUekSRIQSPuQYl2Q9+TQmQchl2tfTZr8caQfMOUhM0UlVWchMNinOCSbpapKPks9T2TSZymE1zT0ix6Qp4IaWSaogIJog6XpySYnFRWPSQIBcSQM0xlwKaMrcwM5hZQkYCW8Wq/J+VEDLEOdk6VXzAzTgNjM+HdXPua1lAypJzp5jOOH9xl5jykxPGDu0hrWV1eME0949hTgsqdT5XbbZxGYtRsdrW6ZJymHRt6quXuUtiBHdSBZaZpJMWg4IFQR2PqqEbbtrjal40x3orGVggG54RZ53BOMLYwjRtCTMQ4EHNUTT20125MwTrVEdP+pc49Yov2KF2D904BQBQdvxGDreKc8/miarst6bo5XTfnlW885OTxmq6dY52j8Q1t29G0HSlFNusV56enrNerK7Lg6tQ1qFVHmKp4bMoqfhqeAojng2VQtc6ZxRAy9FPEG6GpzTlBm9DaHAWLkDIMmwGfCjPbIAkkKYTZVlCDk2uQVHRjy6KDtlYMjTW16ec0ncyFqRRyFoLk3RDjfD5TLaKcSckx2AphL6VOthsaKzgpkAKWgrdKeX8bkGgAKpux0rllTErKBVcSkiM5jIxrlXze9BvGYUOYApmiVPvTyLppaH1D67cZk9upoG4Z6LffiyCkMNFfXrC6vCRFRRWJFPq+Z8trqJlEJOVYI/pIHjJnJ092v8cwUbJmuduS7zZnyqhs/U1bDPXz1GjZWMFKLenVgVFKqkPmkTCoY5rWG40s+3HHliBd7Wlaqyi27SkaRR1JLpioKDeVJa8EsEWVdvvS49pIopAkVv5KhUWLtkkgZ31NzmynN3UDyOSi8gelzv1Ze/Pn6Lb/tGVdLylXgIFmeqWqxWjZL9eqypaxXcgUbOPoFjN8hfQ3s5ZkMtNUWcmnSZGMOROmcFX6qw5qrD2jpmnYIuAU6HB1bHpMmt1tARA55zqorxvnbmAddVy3EZIWqvzKFqFbCiFqsJ+S6uuZWibXXlWqp0XSc3BHKbBlQ7c1G6zD1EZnGq8AFq5Kzcwr15/l4nxFvwl43+O9Zz5fsljAfKFis8MQdsCqLSvHFrilqGIdA9jqoNWEuML9P1z7QA6qbVsyQsIwhsTlZmTeWCi6WZaSWfdrldAIIy2GpmkxSZhWPSePTzEFls2Me/sHtN4zDutKNxMoxVJEJ84bY1m2LRGI1uiiY3SeKiVaAGswTaOT7aY2Fq3ZQdFDaWpzd3siZ8ZhoN+sefTmI7xvOd7b4/7hPl1zO/V9sV5nylxDEEsgc3n2mHB5xtg0ZBHe+NbXWK1XrNZr+rqRUntX1CzBGFMlRgRET36xdcqkBgCy5YMpGWodOobA3aN9/LxDjCWEwOVqjbOGe3eOee31FUMYyTGQSiFO0+4E3RbxyvbvGkuxFeBxS8wHxoHBYGvg46QgOSI5E8eporsG4jgRx4mwGSgxKjlsBlsKvutovDonMQbXOoorzKTBNw7fONiMlJigMqhYcv3sqTpr4cIMSGNxew22sTjvsAYcVewwqoBnWUfKesINSnvUbEu+QIwj2URs2yK3UJYqKagjHydyUlHBHAslFmJQp5RzYmw0Y4kZLeHVVkDBIV2LM4b2oIOcGaPyt21Wl4RpJE7jdvhJs7OkpfthGhnGsdISJZXvsZYUrwaXr7LKbfSwJZTW4V0xb9tY6z4QwkTcvc/N2Wy5xIio+u+oQd4w9LVkOmBsZLnnSFkYx8yTJ+dQMv2gpWepnz9FlcbwrqFtOnXOJWsJ1diaSWm5tB8GUj7D+5bGd4xjxrmW+WxB284QOoxEDBHnPJJbQtSsqBRFWLuaORUKIQwYa5gxV509uwVzfPjr+YEc1DRNWn6wCvh0VsXtmsbVGmmGTM2eqtaJMRjvMFEjWWesTuU7R2OVxfvKJ2ctlaD1ZVcjA4xUDsAEKUJOeNlq1MiuEd1UR2VFFVBNrhx0fJeLWgAAkrpJREFURRkbchYmtrB0hcvP2pbON3Tef+iL+37MVC4xax1ZlGw3p0TImT5FEjAVbRqHaVJHI6KNf66xIm85z4BdY7CW6wRRp1TRP1IKECt8PdNvVnjnmM+XitR0jlIZjjUyVmaQ7XxK/QtX9Dv1D4vRvozY2p19Cgqb38ms6GyOsr4rZLnECDkT46D9k6BN+Tgp835JCRNzdeCCZHXmuxuqheaNwSHYDGnKlBCRUHbZEyZT6ufeXszkTDIFCY7sy05SmzpiUcZEGTM5ZNXUSoVsSq1U6LBqMoVircrG37CFLXP9NGl2UpIiQotUVvbMFLas4UkHO23NJgto7dogzlCSXtcpZOL23KolvS0Gbdv/izERprBDr+10tIqK+21/3zmfCngoRb+w7Z5grWpq5YqILXWwN6XbgZlrBghpqp8xZmIqpASpsoYbo2V5QRF125mnXMAaqZmiOgMRwTqHJOU2NLtMZ+uUZYcGNhKJEnZs8FN1OuPY1zJ/oWlaQlDBWWvf6h5KraumFPVvWWVjN9ZVxOAtl/jOz06VMbib4YCDecvh/h6t95SkqbUTg3ENjXFgNQJtFnOmyhllEYVRWoMHitkGTwolDXWeSQDfOEzJSE4qfT0l4jBScmE273DO4Jt64prqoKxFxJGzar9sU9BUMjFFBsBby968ZT5fsJgtWNwSLQ+AbTuNUIyH2lRXKejM2TgRUmZIYcdYvthTOfdhHHXzqjxoRt7uDMqVWm/R4KEUlUTRUkHcQXDffPMNLi8veemlT9E2HUeHR5yfn7C6PGMcB0KYoGxLqdfhrLU0WR0TVrBeGaWNM9c82M1ZaypVTkqU2mCf+p4UJ8LYU/I2yCnb2hS7Wk/RMGmLOjOVGFnlI6B1XodQp0DuJ/IUMBUtZLMKSYpUUmWjZboyFcoYKM5RXKAYq3Io27JeiJQxwpRJoR5STnVRIRYFYYRUNGu+Yev7nhAmVqtVDU4Ktn63WzDKZjPR+YFZMxG6qIKEaOnSGJ1HzEbUKZTImAJTjIQQ1QGGoGrcRZjqfUpmOrDarJU5pqJsU86EEHflLaUzuuqTALvHtoO9oMjAvu93jmyL/rtpyzkSY2YcUmU1L4RkyNkqk0MGiLuS2uPH5/odpMrkIU4dVgh1dMTifUcykRKV/NVUBWRdD71tg80tU2GKDkomxIFcIsPQ0Kxaum5OKZmum9GNM3YZaUm7smoIA23b4BuP8w3OdcSoQe+HbR9MbsOrRknrr4bAFp3HGseYIoKmg1YEttPMRpCScALzzuNEKXDaqsGUarYTSmbKkZCLfs6iDNG5FIXkUjCmKNopU5sKV4zl25q3DpI5Uiq4VFSjB50nFql6MUVJG72xmpzFtKNEumlLxtbenpDEEI3FtA4vwnJuSQJzqCeDx9bN7fT0lJgiIcZdHVoBDigFTckK/qhOqKS0g/2qswo1EsukUhimiSdPTmrj1bNeX7BenxOi1qHNzoGbaw6q3mNVk8ZYh3HqSLe9k5u2ab1W1eFpJE8TKQTiNGg5LgWEwtWKaymOio8r2/5GTnUmqTIciG7MDt1kYwiQMpLViVFUZ8xuI98iNcOo/ZFQEJtUeBZt8EuNRk0uEItKb9TnR1E4fBFVLk6lkEvYwYhv0labNTEENn2/Q+g1RjnurLWIEcKkkOWVWbE3O8Abh9gtzJ8r1Fyy5JTY9D3DesP56RkpBFIMeOsRMcScCVHP61gHrbu2wXlfHYqex1tnJHXmbVuuc869JbPKWVFpArtyn6nVmXILMekwKuowxCugx46GzHlMNiSxGNtTxFd5kTWIw2AUHZnjbiat5Ih1fidwqCU+bYnsHNQO5OCqsrTSxeXtWMU0QNmqceuQ+lY9wTlfg1CzWz/vPd1sztHRXWaLZYWbC/G2UXy+NuG7xtE2TpvyrqGIUEmId1LGmjBW9rCSQIRZ6/HG4ozFpQxb+fJaF55iZBMjKejFP2906LTkCEUwVnC4nePTUorVYLM6KNiK1WWS0R6JVqO1tOd9o8EzFd0FlBRJN1+OBiCK0S1fhCTqpEzT4Z1n2S20tOOVublpG0rdIDchI9NECYpQcnXWQ8t9mnVKmrSMV5vbJWv5pORELlOlj0qkCFMIPDk9q5GbZRzWjOOmNuqlQkph21zayTtvyyk1yt1eBGy/+xu2cbUmx8jY9+QwaQkvqmyFR0skrl5selFL5UPcNntrZlMdVKl1vu3mHGMmDROmovBMbX2YenHu1kUBfZQMkgpGtPad81UZXE9hzfgUI1HqZrXNoGQXZce0nYu5WVtv1sQYWW82OG9xdRjZVGkQI1UOY9PjyorpYKL1LVbKLjgSMYipA821bLVarTg9PYMaDCh82iDWEq8Np+dcsJUvbhtEbpVft+u9dURb/snrHHyl9se3pTDnXD1PLbfg7xlHhevHCqm/Kk8KxqqispgWsSsQv+Pn9E0LOHI2FThRnVRJ1ek4BFdLe3bHVXjdlEnC1baCqQFZUmRwfc+UFVZuqlCis17P/13Z1NI0ntlszuHRXebzPW1PFGq14cO1DyxY6J1j1ml5zTjDGAMhZZ70a6YpMA4jnfN0ztO0jWrHBCHkyGrslfTUOfy2bp8KCZVgjyURU6EfVPSMnOq0f80QrMNs4dJGszVf55e2fHXmWkZljOygkL72qFqvMPRYitZZRTM8buHiB8jeV9dpkXaGbWcsD4+hm2MPjsFaLY/UOZR+vaGUEdfNEd8xq9o41rldz8fVerLJ8Wrot6LFYu25xKis3ymGWlYQvO9qv6ogzoAVYrSUEmt1SUuQILUctqWpUvVUPaFt3XTTrbiok4dvKjIuxjp/U5CsKjzeWi3JpUyWTJGqgkshG3VUuehMSUoBslddp6yErdZ7lcbIRhm6o8p3bweC9QvNNSISTNZ+A7lm+sVUOp+aWVUU6zbNL0krj6Hk6hSlOs3bGSoFOL+4JIbAanWJr0CPKSjSscikCLtxokyXjOuGo+WxEuHOlJ4nTmE32Lu5vGDoNzx8+Cbry0tOHj1W2ZgQaNsZzju62YJCYQwBUI0yMVZ7HFGrNAZFDQO7IeztDdjx8aWt5IdVgtmmbbHWKirzGsPETVquKD7fVBVd50CUu7CkvGN9mM860v4B3jWAYZpUJ2uczO58c97jG69EuwglV+kdcWw7+7lov85YS9s0tE2rcH2x5GJ22a2p5XpEe4uuScwWlgcfy7tKS9spqOKlT3yK4+P7PHf/PnuLDiMBI08nv/9ggoXWqs5SHYYVoXI2RcYYGUKgH0aKV9lr662WOzKkmBmniVwU8VFQtI8Uw1ZGoxQh56KpfUxE5wBBS95m5/V31CXG7BiWt2i165G9/lxZ0EVnYRwVzF7yrh5bu38fzop+QCvG1NKN0czPN/jZHDNf0O4dgNUy3xQnphAQM4EJiKmIsBoRmip3j+iws0GZs3cbaI3OjXHkFJFg6kxbHZwEnG91PXIhhrFGRlbhq7KNVreqpGWXTW15v6zZzurcEoQPmIahOglV9NX52FxLPLBlf1MHUXugW7bwcvXY7pzYZlTsmqU7ICR15EHh+/q70lLok4QtyKKWWsr2/8KW26xsVSm27cIK6tHTMWuptJbKbsNC1SqawkTB6bVklG3fOCVwzikTciAz7HpKqVFgTs55x4k3jhP9MNL3A30/MAwDYRz1+Rl89BjXaM84Jd1r3BY9ppnk9TNrJ8QJb3E2Oecd92Qphab27sxWBeEWSs9b0wFudhmKb9yuhJyCgpGMUa5GlRTZDsPW/o4OkGorw6jMu6m9YazFGI+IAr40/o87J9Q0bSWGbjHGKp8pVwjgLVQ9kxHrcT4xmy91iD1rlts0LYvFksViyWw2wzuraF4pTwUTJbcVmT2zZ/bMntkze2bvZbc0nfrMntkze2bP7Jm9tz1zUM/smT2zZ/bMPpL2zEE9s2f2zJ7ZM/tI2jMH9cye2TN7Zs/sI2nPHNQze2bP7Jk9s4+k3ZqDEpHfJCL/8ffw+t8iIn/qwzymZ/b+TESKiHz2to/jo2Ii8q+IyO+97eP4fjAR+YaI/ORtH8cze/92m9f7d3RQ9YTqRWQlIg9F5F8Wke9ZH72U8m+UUn7N9/o+P6j2vaz7s03gO9vTOq9/Ptiztfvw7dn1/s72fjOoX19KWQK/BPhlwO9+eocEInI78rYfPXsq6/5sfXd2o+f1D5jd6tr9gJ7Dz673t9kHKvGVUr4F/EfAj7yf54vI7xKRr4rIpYh8UUT+hmuPvaVEV9PIv1dEvgx8+dp9v11EviYij0Xk/yzyzjKtIvJ/EZFXRORCRP60iPyV1x77R0Xkj4rIv1aP5Qsi8kuvPf68iPwxEXkkIl8Xkd/+QdbladsHWXcR+deBl4B/v0Zj/6CIfLKu5f9MRF4G/jMR+VUi8urbXruLxETEisg/fO37+9Mi8uI7/L2/oq77T3woH/YW7Ls4r/8iEfkzdV3+CNC97fH/uYh8RUROROTfE5Hnrz32a0TkSyJyLiJ/QET+SxH5bR/qB7pB+6BrV+0Xi8ifr2vwR0Rkt37fYe3eskeI2j8rIm/W9/rzIvIj9bmtiPx+EXm5ZiR/UERmH9bnfpr27Hq/sg/koOoB/zrgz9bff5eI/Afv8ZKvAn8lcAD8Y8AfFpGPvcfzfyPwy4HPX7vvbwB+KRpV/Abg73qX1/73wC8GjoF/E/h3rp/4wF8P/NvAIfDvAf9c/QwG+PeBnwJeAP5q4O8XkV/7Hsd5o/ZB1r2U8ncCL1OjsVLK77v28K8Efgh4P5/tfwP87fXv7qPrvnnbcf1a4N8C/qZSyn/+gT7UR8g+yPqKSAP8P4F/HT3X/h3gb7r2+K8G/ingbwE+BnwTPe8QkbvAvwv8Q8Ad4EvAX/Y0PtNN2XexJ4CuzV8LfAr4MeC31Ne+69pds9/I1R7xa4C/CvgF6HX9twJP6vP+T/X+Xwx8Fr22/5Hv4iPeuD273q/ZWySd3+EGfANYAWfoCfMHgNl3et27vNefA35D/fm3AH/q2mMF+NVve34B/tprv/89wJ94p9e/w986BX68/vyPAv/ptcc+D/T1518OvPy21/5DwL/83XzGD+v2vax7fe1PXvv9k3UtP33tvl8FvPpur0M3z9/wLu9f6hp9E/jR21ynm15fdEN8jUoTVu/7/wG/t/78LwK/79pjSyDU7+A3A//1tccEeAX4bbe9Hjd8bv4d137/fcAf/E5rd+28+9XXHv/VwM8Bfylg3raua+Az1+77FcDXb3vtnuKa/kBe7++3NvkbSyn/6ft87s5E5DejnvmT9a4lcPc9XvLKd7jvm8Dz7/AcROR/C/y2+nhBo4Drf+uNaz9vgE60NvsJ4HkRObv2uAX+q/c4zpuy72rd38PeaX3fzV5EM+B3s78f+NdKKX/hezqi27XvZn2fB75V6pVb7Ztve/zPbH8ppaxE5AkawT/Pte+glFLeXnb5PrLv5dx8+7W4vabfa+2+Ue++vn7/mYj8c8A/D7wkIv8P4HegJdc58KflihhW0Ov6o2zPrve32VODmYvIJ4B/AfhfAndKKYfAT/PeVNfvxFx7vQ76Ehq9vv1v/ZXA70RLA0f1b51/h7+1tVfQyOrw2m2vlPLr3sdrP6r2bgzA1+9foxcxoDVo4N61x18BPvMef+NvBn6jiPz93+Uxfr/a68ALIm+hxH7p2s+voUEPACKyQMt536qv/fi1x+T678/sPddua285t0sp/9dSyl8M/DBa0vsHgMdAD/zwtWv6oCgA4QfRfmCv96c5B7VAF+gRgIj8Vj5YI3Vr/4CIHNW67P8K+CPv8Jw9VIf3EeBE5B9BM6j3Y/8dcCEiv1NEZrVZ+CMi8su+i2P9qNhD4NPf4Tk/h2aR/2NRfv7fDbTXHv9DwD8hIp+rzegfE5E71x5/De3X/XYR+Xs+zIP/iNt/jZ5rv11EnIj8jcBfcu3xfxP4rSLyi0WkBf5J4L8tpXwD+OPAj4rIb6zZ+98LPHezh/+Rtvdau28zEfllIvLL6/m7BgYglVIyGhz/syJyvz73hY9SX/lDth/Y6/17clAV9fEfvdNjpZQvAv80ekE/BH4U+P9+F3/m/wX8abR/9cfROvXb7f+Dol5+Di23DLzP9LaUkoBfjzZTv45GX38IBXZ8JO291r3aPwX8bhE5E5Hf8U5PKKWcoz29P4RGqGvgernpnwH+KPAfAxfous/e9h4voyft75TvYyTa2+07nNcT8DeiPdBTtDH/f7/2+J8Afg/wx9CM6TPA31Yfe4xGor8PbeZ/HvgfgPEpfZQbt/dxbr6rvdfavYvto47oFL3unwC/vz72O4GvAP+NiFwA/ynwC7+b47pt+/l8vX+k9aBEpACfK6V85baP5Zk9sw/bKoL0VeA3le9jFOQze2ZPy55x8T2zZ3aDJiK/VkQOawnrH0b7pP/NLR/WM3tmH0l75qCe2TO7WfsVKFrqMVpa/o2llP52D+mZPbOPpn2kS3zP7Jk9s2f2zH7+2rMM6pk9s2f2zJ7ZR9JuU27jHxaRP/Q9vP4fFZE//GEe0zN7b5Mrjq/vW/LJp2Ei8l/8IKEYn5bJM5mW7zu77Wv+/chtrK7dslxRwq9E5Dd9t3+4lPJPllKeXdTvYN/Lmj/bBN6fPa3z+gfdnq3b07Fn1/w723f0itenr0XkGyhv2IdJx/FtJiKulBKf5t/4KNvTXPOf72u7tds4r38Q7KOwbj+I5/Cza/6d7amW+OQ7S2D84frzO9HDb+/7u0XkNRF5XZRv793+1r8jIm+I0u7/SRH54WuP/Ssi8s+LyB8XpZL/b0XkM9ce/0Ui8p+IUvx/SUT+lqe0JE/VRORP1h9/qkZef6tUmn1Rpow3gH9Z3kGN+HoUJsqo8U+LyDfrev4peQepAhH5m0Qp+78bhpDvWxORv0ZEfrauzT/HNUotETEi8rvr2r0pKvFycO3x31wfeyIiv0d+gMXm3sV+UkS+LCKn9ZoUeO91e5f9oRORP1zX8UxE/nsReVCffyAi/2LdM74lIr9XlNrnB85+0K/575VJ4g+IyB94j6d8JwmMt9s70cP/BPA5lFr/d73Hxfwf1efdRwkn/423Pf63o5IfR+iE+f+hfoYF8J/U47tfn/cHrju4j5K915qXUv6q+uOPF6Xe39JCPYd+B58A/u738Wd+P/AXo1IQx8A/COS3HcdvRSUNfrKU8tMf+IN8hO291lhUMuOPoVQxd1HI+F9+7Sm/pd5+AqWfWXIl7fJ5lKX6N6FyEgcoEeoPhL2P/QDgr0PF+H4c5c7cXuu/hXdZt2t2fX/4n6Lr9yLK1/e/QPn3AP5VlI7qs8BfhO4d37fthJ/X1/wHoT7nbbTuH/TGt0tg/OHy7vTw2/t+0bX7fh/wL7799e/wdw7raw/q7/8K8IeuPf7rgJ+tP/+twH/1ttf/34D//Xf7OT/M2wdd8/q5P3vt918FTEB37b7fwtukSravQ4OWfvs9ve052+/kdwBfBD5+2+tz02uMSmb8N9d+F5QN4rfV3/8E8Pdce/wXopIRDtUj+reuPTav3813fU19v6zbtXPsr7j2+x8Fftf7WLd32h/+LlTm5Mfe9jceoNRRs2v3/e3Af37b6/WU1/UH8pp/qsgM+c4SGG+39yO38aPv8HcsmhH9zShD79bz30VZzeHbKf63Nd9PAL9c3iq34VBBuh8Ue1RKGd7nc++icgXvRb3/DwD/eCnl+1Uq4nuxd5LMeOVtj1+X3/gmej49eIfXbkTlJH4+2btdh++1blu7vs7/Opo9/dsicgj8YeB/h17PHnhdrgjnDR9MeuIHwX4grvmn5qDkSgLjrwa+UErJInLKdye38bP153eU2wD+J6ja7k+i0ccBmq29X7mN/7KU8te8j+d+v9rb1/Xt1PvXGbUfo2S7n0FVht/Jfg3w/xaRN0opf+zDPNDvA3udaxIwtYdyXRLmLZIR6DkbUcLk17lGWFpr/NcZo38+23ut21aSZHcel1ICWrL/x0Tkk8B/iIru/YdoBnW3fJ8CAz4k+4G45p8mSOJ7kcC4br9HROa1J/RbeXe5jRFlM56jNP3v1/4D4BeIyN8pIr7efpmI/NB3cawfBXs/1Ps/BfywqKxBh5ZLASgqVfAvAf+MiDwvKj/yK0S547b2BVSy+58Xkb/+wz38j7z9cXTt/kbR2ZDfzlslM/4t4H8tIp8SkSV6Lv6Ruln+u8CvF5G/TFQ6/h/j/QVRPx/svdbt20xEfkJEfrRWTy7QcmAqpbyOMnL/0yKyX8EXnxGRX3lTH+QW7Af2mv9eQRJ/UET+4Ls8/F1LYLzN/ksU1PAngN9fSvmP3+E5/1r9G99C66Tvm3yzlHKJRgd/GxrFvYE2Atv3et1t2XdYc9AT71+tyKZ3RCOWUn4O+MdRCYIvA3/qbU/5HcBfQEEuJ+h6mLe9x0+hDe9/QUT+R9/FR/nI2nutcbmSzPg/ogHR53irjMy/hJaf/iQq3zIAf1997Rfqz/82mk1dAm/yAyK38T7Ozfeyd123d7HnUId/AfwMuk9sB/d/M9Cge8Fpfd7HvsvjunX7+XzNf2S5+Gra/nXA/zxP1Z/ZD6jVTOEMlZT5+i0fzjN7Zh85e8bF98ye2Q2aiPz6WrJeoNDev4D2TZ/ZM3tmb7NnDuqZPbObtd+AlpJfQ8uDf1v5qJYxntkzu2X7yJb4ntkze2bP7Jn9/LZnGdQze2bP7Jk9s4+kfaA5qN/0e/7AW9Kta4NwyPZ3kbfeL4IDhIKh1Ofp/fo80d8NiBSuErpy7V/I+ko8YOuBF4QIZMkUSRgyUjIU9H0KgKEUIW9/FZ3izTmTc776ewL/wj/y990C5DeWUgq5ZJ2evnacoL8IIAW2B7tbovqc6+u9e6jeJ8i3A5nL9r9vz57f6b2uDZ9AgUdvPOTRGw+5XK8QI/zIj/8YbdfhnPu29xL8ja7p3/ETnygpwxTBtPvY7gCZHyGuwbuMkDBlgqzrnY2niKGYbneuDn1P32/4ua9+nbOzCzbDQEEwxiFikRrXlVLqOaQrlMkUMpmEnoQCRTCInptSaFuDswaDgaLnYdM0NE3DZrMhxsg0RQSDwSEiFOr5ATy5WN/oen72c58sXddw584Rq/Ulq9Ulq82KUjIfu3+fOCVOn1ywPUucsxij65NzIQT9PCFExnEkpUTXdVhraZqGUjK5FDKGAowhYgS8NbTe0XjL8cEes7blYH+PME6cPTlls9kw9AMaYwvGeEoppJiIJRKJILme+0LOkCLEmMm5YI3BiOFJv7nR9fxv/+hfV6Zh4PLkhG45o1vMSKGQU6H0iZwNubSMk2UMltx9nOL3ce19Do7v8Jkf+oUY14Fp+erPfZ1pivwlf/mvYjafY53RS/TaeVm4Oj91Ja4+bsqFvLtFSk6MJVGARbvAWUfbeN5pEmL7ljm/hQ2J2dx8qOv5AQd1r3bN9+uc9H9dGHnrC3Y/l3pX2W2c2yddLax+7IJBdLMWc+2Q1P1t7xBydYJ6MyIYa0EMRYSYMsM4ggiplKtjuQXLldIj58w0TYQpYL3DWIPzXlchF4ZhYOpHck6ICMuDfd0I3nbslXlzd1Ju13ZrhfLO49Bve91b3q++D6VALoRxol+tWV2cgzGkdHURbP+X+l43v7R63pT6wUWgbR2+bWlbQUqCIMQYiCGQpJDrbXsOhimw2fSEMRBjpGR15Zlcne7VXzIiYEz9vFmdVHUqJWlgIQW8d3gnzDqLtUJJupY5C21r8d5CdoSIBlkZyAXnDc55QkrkWyjHj+MIFNbrNTFGdSzeA4W27fA2M84DIegtpXy1OZZCjKluYm89L4wxdF1HTJEUI1GXQ9cTvR5iigiFaQpYY5imiZT0/HfO07SFUjRwLVlIOV8FeEUD2O35XmowUHZhmbzrZfA0zTqwTrDeYIwG5ykXciyUvD3ugpGEM4WY15RQSDkzXA6cPeoQtwA7Z5p6cjL0w0gWg7FXBbGUkr5mnMhFnfLVZqtncIgaHMSYKSVScmBKEQTuHWTmXUfjNRV4p1Nv6wzfumd8uEW5D+SgxJh6cZZ3jLTlbQ5q67B2zuKa60GunyCFfG1DYfesbfSv7scAFqkR2tVjBQvF1E2pYCVhJOMk0XhD01iW8yXONUT0C33zSWSKesIi29zu5i2XTKnZ3PnpGU8eP2H/8ICu6zg4PgIRcko8fvgmb7z6LaZpwjnHj/xFv5i26zDWqJMDzHZNStHgfbeKsrtq35aD7cKGHTPX9kt4S9RVrTqo9dk5b77yLd54+BCxhh/7pX8xvmsxOV85tFLPkRteVoPRPKZkrIBxcOdoyWL/gMP9GSUFhtUZ69WK9eqSMRcSmSyJnIUcCxcXFzx8400uzi/p+0E3PRGQgkjGiNWAywht02KtxXtPyomUE2J0m4whUUqGlDjY7zjY71jMLNZAv+opdb2893jvCQshxsjFWSKFTJgie3sdy70lmzESU/4On/7Dt/Pzc6w1rDcXLJcLlssF3lusNdy5c4eSC7N2zunpKScnp4SgTiTGeBVwFsi5BotGHZRzjuPjY4ZhoB96xurcUhZyyursIkwiWAPTNELJGDGIs8z8gjlLctZMbb3qySGSieQCCXV4W4+VcyZuKyYilLfsNTdn7QysFVLUIBSBacyEMWMyen6ZiLMZJ5kpjMQIF+uJ4cmM9cnPUPwdsj/GtXdpugPeeHyKbTbq2IzBGssUJqYQeePxKVNIjDFTilw59FLoQyKmzBgyUgbIPWEYcdbwY5/7FPfuHLG3mFdHVD9AXbS3B6RPyz6Yg5JtVvNu3+y1etnuLt0stxWPq4zp7R+wuoiiDg3Zbqxlt4VqPCTkkkGsRkNyVdLbLr4IWIHGwrJzLOYNe3sLrPNcrEaCFMhpV7Iq1zO6G7Zy9cmZxonN5YrG+1q4KKQYuTg/4+TRmzx+7TUtCbUt/XoDQNO1YAwYIYwTpIzx+rtYWx1WzTq3Vn8pWSOzXRnR+WupbM20ypVTEzRxdY1lNutorSVLIUwDMXS0TfMWx3YbIaqIRQxYV5jPZiz2lxzudSzmntZkck5gC8UL0nl8zMQiBIQQMpswkcJIihNd67HWIMZWhy9YK1hrMKIOqmkajBiMMcQEMcIUIjkVWm81si8RS0FKJk6JRGbse6wxLOYdOUfGfsIYLV/PO0+ymSCReedYzDwZjXhv2u7du0OMgU2/ZhwnXQ/RUt44ThgxOOfY3z/QjMrrlnJxcUnf95yenpKS5p/XSUBTigxDT4gRSsGKQSyIaUgxMuR0LccRighTiLoBi8EZg3FOq3i50HYF6zPWeYw3GGdIJRFT5PJipQ4zToipe4Q17xhkP21L2WkmbvUYrbfMFoWmEeIQyQlyyBrYlEwhYiwsFoVghFVqGJJnGBx7BXyJXHztDTCOBLvSZcqBmBInFytizIRYr+CiGVsphTEkYi6EmCl5ouSAzROz1jFM+vptUJtrpen6PnITALsP6KB4702nbDPIbTpZatkIkLd2PHZp+LeVlMquHFi2Tqp6IK3vC5pL6SaaSeqYCpRSI1spGIHGCYvOcbjXsb8/x1rPsBkxZHVQGW4bJ3L1+YUwTWxWK2ZtizOGkgsxBM7PTjl99CaPX38NayzdfM6wXmOspvWm8YhxTONIDgFfPMZZnJWd87uWJ+1+yzmRYoRcatnEXX1f9Vklb1N4LW9ZZ3DeMZu1NM6SUiKMA2EaYbHcfSbZlldu2IpYBHBemM06DvYWHCw65nNPiZP2hySDE2xrcUaIGcYCxKzOKUw7B9W1DcY3u9PZN/reIoIxgvdN/cyZEAoxQLkMxFxonCenqP2wmknFba2/H2gbT+vm9P3ENAy0rcdYw7x1JFuYUGc1n3mmW3BOAPfu32W9XnFxec40jdU5GUrxTOOEsw5rHHt7exwfH7O/v4cxhjfeeMjZ2Rnn5xfknHZRuN4yKSX6vq9rVzBGMFi8MQRjCNN09QLR83iKCWsKWMF5wTpHyWAKgMVnaNpMN+/o5i1TnAhhYhim3QaLaAVGzO2kUCk7cklgqoNyhtnCkqPQ50CYCqE3u+BbMyphMYN1NqzGlovQcBEaogOfA49O3iBkQwSsCNYYCpFcMqt+JCdI6ap+FWMkZS3t5VKIKdfsNbH0if2ZY5giIaZdSVTZkG5+r/xgDqqWkN7Jc75XNHI9c4Lv6ON2Dup6tb/sbrW8R6bkSMqb2rQWrLRYsbTeMGsdd/Y79pcty0VLmALrOPD45IT1MJFy2vWtvpPffZp2fRM3IhgxDP2GnCJPvuW4ODvli3/+z3Px5iMun5yw2N/HSuEbX/45mrk2We8+94DjB/d5+atfYXNxyb3nHrDc3+fu889R5Kp8SkEvfBGstVyen3N+fk6ctLfwyc98FiOGmDO2bsAXF5eMw8h6s6ZpG47vHrPerDg9P+H88UPCMPC1n/pz3HvhBRY//ksQRbtoL+EWktJkDNZ5DuZ77C2WLLxjePyQiUyOEzkF4tSTUySnRDENxlgaNyPmQA4bhAnnUu0FWnzT0HYdh0dH5BzIedKAK2dWNZN11jLvFA4kOTGOAStaaoolE4aRdQzMZho4zLsO7z3GeKxNWJvp+0ApsLfoaL1j2c0Q5xjHibOLCzbDdOPreXx8RNe1TNOkPbacmKaJaQq88uprNM6znC+Zz2fM5zMePx61XH1+Tt/3tG2DMbH2nnTvmM06jDH0fb9rC+zv72s2arXXREmEKRJDBDGkAsOmp3Geg70W4xp825KzYI3l3r0HLJd7PHjwMfb2lyz2lnz9G1/j8ZPHxCxsNmtWqxUxBEKMpFvq6a3PRlIamKaBbpHpTCGMiZwyxWWcURCNOhXNLBE9h/rJ8I0njstQWIeRTMG5ni+8csqUhGwsTgpWChApJTPlrACRtG23mN1nj7FmszkTagn0uYOOFFu+/OVvcnF6Ro6BO3ePuHN8iLde2yE1AAU0q3qK6/WBS3zlqlnxjoCI97Jdw/Itb/ptP9Qqk7zlSRlBSs0IRKBeLCkOKOLJYLzDGkX/dI1nMZ/Rth7vPMM40g8T/TAyTlqnLtf+7O3BJGBXKK/Wb3rGYcAZuDh5wunrbzBcXDBt1jSNx1jh9NEjfNfSzmfM5jMOj49YXZxzcXLKcrmkaZpr65jVuZfCOI67vsfQD2xW610kXHK5hhbUFYlTYBwGVpcrutCy3N9j2PSsVxdM/ZrQ95w9fEjbtoxDryUW68Aanu6p+86WSsGIwTcN1giSEuOwpqQJyZGSIjEMGtXnhPEzsB7BISlQSkAkYS14LxirPcxZ13B4sGSaBqagWXrOmX6z2Qb5mgUYfT4lI1mQLArwKYWSMlIcIgZrNRhJqVCKQcQS40TOmRQL1oO1lpgzMSaGcWQYb95BOWdxThF3IUx6zaVEjIlpCDS+QWpZ3pgandfsKISpAgF0Y9zuEdaquO0W8CAieO/oulazG9ThJ5OuOTYtTaVSrvYAY/HO0fiWO3fvcXR0zCc++Sn29/e0bzf0IMLde/dYrWZ437BaXZJWKwVn5JvPSlOIu/VTRxGJKZHiFuFcsG5bYhesAxBS0kz/bJNZTZF1mDiYF5wVHp/0jEnAOhxZHVSZan1JyEVIWXal6C2IJaaiCMpcCNVJHc4sgzc8OTmDHJnPGzKFtvW1j+935a9ty+eaS/jQ7YOh+GrJ7e2Bx3dyTuVtzuA9/wBXbYzroAqDkLGA1Z5JiYSpZ332Ok4EZ4TlnY+zbPd5/sEx81nH4d6cXBu2j0/XnK96zodITIWEJVM30VuK9ne2beTGRBwnvvrlL3N5ccHCG0wKMFyQ1j2p3/B43IBxXD58gvUeP+9orHB454C0WVP6njQNpGnSiwGIRVGQMUy88vWvQc7MujnjMDKNE2M/kKwjT5M67hiJomWQvu/p1xuGiw1xM2ELfOtrX+PrX/wC8zDRlcLp175M7lcs7h5zcHyXvcNjZrPFt8HOb8IuxpG2gO17Qt+zLhn6FbZE7hzuIyWR+xXjNDKNI75bYJwn+Q1TLtgcaF1mMbcYb7DW0M0c3czibKGPkX410rQdgsXbBdM0cX6yqh3Swv7+jMP9OeNmYhotxETbONrG4r06t816ZJwSm/4CZx3GOlI2hJB4480LrDXM25aQMiEnNikSbyHif+21VxmGkSdPTrUMlNIOtZljoi8DF2cXilL0tqLFQHvBgjEQo8LMt8CZUnJ10q6+X2KxWHCwvwclc0Fm6Ht9L4GQEkVgubePtZYETCkh48SnPvUid47v8vnP/wh7+/vcvXufpmlw3nP33nP4ZsbHX/ok4zhwcvKEP/2n/wf+zJ/9M4zTRIrpxteza2v1xjqMF7IUxj4QxkwxFSYeFLVojaGpayhWCEy8eX7KxWbNum/Y90tab3j45hkhCU3X4UrGkklRM9lUoFiHNB3WOazzbKPzXOQKbZkzKWdiykwh8s3X3+Rbb7zBz/zsz/KJT77AJz/xPL/kl/w49+7dYdF1gCHv9umnZx88g3obgu8KSn5131tLgNeKWO96gb3TR3wrGCNvHUm9T3F3inTR+n7G20zXCPNZy6xtsNYRQ2IYI5shshkjIQupKIpnh3ETeCuK4Obs/OKSnDLTMHJ+fsHYb1ifn7M+O8V2jkYKMylEKSQjCjdOmbH0OB/IJXN5csrj119nfXbOuFpz+eSEFBPGt2Qg1Y0zhok3X3mVkjOzttMTOGXGYcJYyxuvvIJ1jhwS4ixYw+njJ/TrDZen5wr1XZ+zPj2BaaAxQmOFkiJps+bs9dfIIZJixt63GDP/jp//w7bNGIgJDGt8yfic8GHEm0JOGaGCapL238w0UVLWejxgSsFLpnU6krCFNBsxjOOkMzTW1bo16PmjUHCNKqFtGry3xDFhbK4bg8V6VxF+2s8rOTOOgeQK3pcdGjOWQooFSiSVTCqZ2+lAwTAMxBjx3lFK3MHGc9KMEEB24wRXlQBjLGAQuZrN2e4LKSWMKRiz3SsKJSdKzrSNw1sLRdcj5YJJmSS6IVoRXNOw3Nvn8OCA4zt3ODw6Yr5c4puWcZo4PTtn0/c8fnJCjJFPfvIlck7s7S159dVXODg44DRt4e83a9YWihQkslszY8BanefMCdIW1JRhjFb7ZcaRisUUaIwhe4c12/7ytvlRdiM9u37RLnvVOTP97jIlX6tSydW4i86l5QqkSIQYePzkHGMNR3fvsBkGXnjuAa1vaJtut0U/rd3zA4e423mnHYyYb8+gtrMOb7Xv1Hlil2Zts61Sth0p6gIr0FyRfQVrYNE58rShhIFlWzhYWI725zjXUIqhHyOnZxueXI5c9oGpfmSpl7zOtbzVGd6kffnrLzMOAyePTkgX58SLcy4fvs767Iy9oz1c59nb6/DZ0RRP3gTGmAlxIAVHLoXXvvoNLs7OGJ+ck8fAxckp1jfY+Zd0nKY68xwDjx6+CjnTWkPbtDRNyzCpC3v8yqsYMZAztvWYxukGNQX6s0soGWshrs+Z54m9+YzOW2IqxM0F3/yzf4bFvedY3H9A80v/EnzT3Ph6Pj5bYRHOzSUuZ1zOHLSeRdtw90ih56A1/hwzMQ+IwJgi2RqarmUmAt7SZ73su25GKcLZ6QXeN8xm810pq+SEs4aDgwOs09Jd1yrSrd8ETCwY7xFvwVkSQRv7zlBCZL3e4LzFN06HyY1QrK7pZhOwRqgVsVsBmq5WK5xzHB0dsFr1lLxhHHQ+TNC+qQDGaPlItwfdFI0xOGcJIe0GQqEo+s+oU9+OoIxDz+AdB8t7jG2LESGn2qgXgwXMOGGsY7Hc45Of/jSf/exn2d8/pOvmzJd7hBB59bXX+emf/mm++IUvcufOHe7du8uv/omfYDbvGIY1F5fnPDl5zM/+zM9yenp64+tpmoxJGWJiO8vZzSylEWKciEEowZKLlt2myZKxuG7OlDqWpmG5WMD+HntzQy6ZxcwREjSNjoQLCiDJBYqxFFEPmHIi5sQ0RXLWfF+DK1sHwRMlR0oRxHkEnR19/c0zXnntTd48OePuvSN+5V/2y7l7fMQLz3+M7eBRfkqQqO+iB/Xt/afrjwNvcV5vdT7vZaX6iOqU3lIT3MYIIKT6m24Ms8UewUCUjBApeQJ0yK8fC+ergSeXPUOAWGw9To3Etu+ai7xHdvd0TR3UyNmTU7ow0IWehYVu5lg6QyOQU8YUobGOzmkGsK7liZQt5fKcIYzE9QC54HPC+IZmW2MuGSmBkhPWaC3aSkFyoIRMGJMOSp7p95unQLOY4eezHbLv/OyUEgNOMq1kmjqgO1JDiJSQccXgTggIU98TQ7jx9TTGQ9Y5mhwTMSXaUjBFh529rf3LGqFLTrpJlowtYHIiFksE1lMglMTF+SViNEDa9lJ0KDVhrEJ6xGivSQRiTJSS6IeRGBJidDRiqlmRkGm9Q0DRpTW7SkkzhswIoqgq74TGG0KMu5LKTVpKep71fU9KCWvtt1VLtnnIdh7Me8fe3v5u5uns7IIQUl2XUueiCjGGnWPr+wFnDOP+kpQiXaflzTzpfJSYgm9a9g8O+fSnP8OLL77EgwfPYV2Ddw0HBwdsNj1vvvmInMsuY0g5c7la47zj4OCQ+/cf8MILL/Dyy6+wWq1ufD1XF5EQAherifm+Zb5n2EwzQrRsghCTY0wzUrHEYkmlQcSyMHOKNxzvCbP5HrPFHmMK9DHz4LkXiFnJCAQ9P9UBFbIIhoIjaf8wZ1Z9ZAqJzXpFSiNpGNUx5UQOQo4zgjc4MTSuJRdtr5ycbxhD4me/9BWee3CXrvHEmAgx1eqA4d7BSx/qen2wDOrtkPC3Oal3xsXLd3ZOUmp/q3abr6FEdsi/3XtkpNIaeWtYNHuMJTLlCSmJkkZKSaQsXG4mzlYDJxc9fRQitqbCeUfAI0AohbeCMm7Ovvz1V5jGiYuzc+7YzF2bWDjw84a51z5QTsqg4Y2jtVrLP09BSyDFMq4Ccn6hzXoMTco4H2izAvFzSZBGhELbNVgKrgQMEWIkhsSUCuOk/YXYD3RhSVcy+4f7iBUuL85Jw0BTImY5Y76cEZKWAhrjKClhhpERQ4yJse8Vwn7DZqyHErT/FiISIkMpmKLsIdkZrFHkUi4FipLsGApkMDnjiyEWIYfAFGDMFzjvaeezXWN4mhTQ4L27VkkASqnZVdS/lwpGHKkURQ3mgJHCct5i6+S/WIOxlhBrDyBGCmBLwjdC2xgYpc4T3ayVkomx1H6N9uSM2V6dtYdRr1trLW3b0nUtDx7c3znyEBKrlaIdr5gmMjHpBiQijOOAFRjGgZQibduyGbSPIlmZEJqm4+DgkE99+tM8//zz3L//gHHS2aiDgwO2EOpSijLHsHVQl8wXM54/eI67d+/ysedfYD6f17Lszdr6MjKOkfPzANLiWsPluKSPHedTR8wtIe0Tsidkh5gWaxwiHdlHjvYuOT7e4/hoyStP1pQ+8+C5I2I2u/bLLvQWZT+xJTBLPSVpn+msT/Rj4Em4ZBwmVuMpxKhOapqRW0NIHeIE4xwWQ8Zxdn7B+cWaRfs1Nus1H6slv3U/0s3nOO/40c/epoPie8003sUJFHZOSuv49cItV4DzLVedlYiVzKIxeGOxNuksStMRQmC92XC+WjFF4bVHa85XI5ugg73OGByRWeO5d7ioNVl4dHbJMN18tA/w5msPCTFwuVrRdI79mWVZCs4YJmd08GaxREJEQsCK0KbEwWKBOE+zUIYM5zxiPWIMrptXWPSxbihWyDEABet0TsgUrfmXlPlYQpupYiipkEMCb5HG0jghjgMPv/EyYb3CDCuMNwSBUTzFWGbOYSXi7QhFp1XTMBCH4cbX82BvH4kRaRxlnCjjhE0jJY70w4bsHU3jyChyxFqrmU8dCC+x4EsmFYMvwkRhiIFYMkkKzjqcdcxnM6y15KwgnL4fiDGQUuTo6ADvPF3TMk2Bvh/x3uIbyzAmnY1aDThrmc1a7QXWgcmUs2ZjBrQ/UbC20Hghu5ufQzk6ONYRjcsVIYxM1fHvrPaFUy6MIYIZtT1nwHpbh2YtGWg6dfDjMJBy0iFdY7DOId5TnOH08oIYM7GAGI/3M9puyWy24NMvfY4XPv4Czz94iaO9Qzo/Z9YavPccHR5CgfmsQ8j0mxUxTfTDhi9+8WfYbDY8//xztO2MO3fu0bZzjLl5EI+h4G1m0STOLgqvnAvfPGm5HOcMzGtJfqNZSxGOD+8wnzmMK4x95uE6kGcRmUceX15w2U+4RgOHbXZaB0h3c6amRCRtoBisWO4d7IEseeHQsro849WXL3j85ps8fvSQcjjDtA7aA4rRfSEC0YBtOpwRutlceRRT4LXX3+QrL7/Bcm8f7z0/+St+yYe6Xjf4DX2nDOWqhlmhC5pV1Ts1Psg4U/AGZo3DCZgtfNI6YtIZjb7vGaKw7jcMU1bosZIr0FrDrPXsL+faO0kZY9a3VeFjfbliqg5qKA3BtFB00DiKAeeQtkNsBGtxxmJKZu50gLRdLHG+wzet1o2txbadUiXdvYt3DuccOUcoYOwVXVVOSW9FantblA8sFpKBbAqSJ6bNim7WYeIEUSPoQiGIJYvDGQcl49GMRGIkjQOh39z4enbeI9bgbAHnwDtin9UhlysgAiJILS8ZI0jOFcusUHtTCqZsUav6uWJK2luRjBhTHZTS52yRajEGfX7NKEQ0K7XuimA2pUwcJ7JzdF1TwQBX5J2mDpNuMxWpKMzbgO0721CM4rxzTMQpvGW4vC6l0gvV7CiVTMwJybXchDbhnXdYYxXeXeeRtt+DGGWLGLaUR6WAsTjXsJgvWS73uXPnHseHd1jO9ujaGd61NN7TNJ62afHOUnIipUhKAabC5Cx9v2YcB0oB6zyz2Vydorl5hy8VHOIc9Gt4tIaHp5mLMZFNVKrhMlXQgjCfH9A0MMbCmDJD0v/HVBjjxBRHmnZEpFKeZWpvCUBZfCRHDBNZHKVA4wXnLH42pzEjFzPPOZEyXlLCQIlBxyIKlchXy7hiLMbqnKESJ0M/jDw5PWcMZTe0/mHah+6g3gtu8G6PVdwP20vwrad/roi9hCFxZ2/OYuZ57mhBHNc8eeNc+bekMAwj/RhIr75GxLEZLSnpjFRnEq2zvPjcHRbzGUdHR5ycX/Lk7FI3h1tyUCcP36TvB958/Ah3tKA5WnC01zJvPQ0GcS12/3g3j+J9o5DkZkExVml4akpvKqonxgnbNJqeNw2+aXDOKU2MtVflmbrSWxJNQWfNTDFkA0kK/eUJfcnsz+eMYSD3GYNuPs45km2w1mJTwsZEznqCP3n5q4ybc176RT92o+vZUph1LfcO7zJvPDPnePLwNaZhw7zTTd8aiFbXy4g6n5Q0m4xTIhrIomvrRGhcA9ZgvGcxmzGfzZRBo/bYtsSn8/m8AgUKIYR6Mdf5n9p3EVGqJNe1GEEJglMmxIxY/Y66tiOljClaXIljJka5lcHSi4tLLd+WUpUCKh+emDr2oc4r5UIJkcXeEu8bHj1+DKhDPj+/JKZMN5vpOi0X9P3A9PiRIhy9DoCqk9NMchgnvG+Zzfb54c//GPfvP8cv+NwPsb+3R9fMWM73ODw4YDGf0zSexjmGvufrX/0KpydPgMzBgbJb/PDnf4jnn3+e2ayjazu6plNo/y04qLYNRFuIuePiVPjmk4lx+jKuJObGME2Z0/PIlBtCbtj75BF3DvbIEiiSaDpBfCG5hG2FpgjLWah9JwWUbMt7UDBSlA0meDa9Yeghbh7jnHD/eMbevuPFF19iszrl9MlrpBgYhw0uRIyxlNq31+/SULCIOHzTsndwQNu2GApD3zMO44e+Xh+6g3qvGO/dH5O3/b+df8oYAUvBW6GxloNFx968ZTFrGPOAKQkpWWHUKZKK0PcbsjTk3CJ4vBUWnWfReg4WM5q2qdQ0kWGcdizIt2HrlUZ30ziw2ghnDayXLTPnWe4dYJd72OX+jtYI6yjGgmtASZsUrbPro5UdAGALK1UJB91Mt21DhUtXaYR6XwrKZCDZkAWygdj3TKMSgOaUyQUk62ZliFCMZh8kiqkpb06cn54wpJufM9lrG7rWM2tblvMZi65lGjeMvcdJADJkZTYQYxDJUIzW60WrI8br8GfnDCULscgOcr7tqW4poNq21dKz1QDCWkcpWuobh6BOX6RO7seaXW1H765ARUWRA2zpdo0I3qokh2SNZsstRFExxCveSupMohhFhlEXrFK2b8lKjbEKbKiZ4NHxMcfH93nhhedZLBYArNdrXnnlVcZxZJrGnTSHdW1FAFpm8znLxQEPHjzgwYPnOD46ZD6f03UdTdPgnaPtNIvKOTONI2dnZwxDr3DpOgOpzBcTMUZlkghTpe65eQsxEQL0gzAFQywG7zOtBJadMNjMahXJYsEYuq6h61pW/UAuGedqXzoXzeKdxZhdmQmR2r/f0jqJZlEaHGmdSkzGOeHwYEYODUyJWaeD/SnH3Xl6RQh7NUBQCsSstyoqUy/5/FRGdW6+CPuudhXNbDH9FoUFewP7c8/BvOGl5+6wt+jwTFxEg8kTkgKkSJgmplQI+QJjO6QxuMbhvOP5OwccLmd87N4hIWUeX6w5v7jg5PSMKdwGa5za40ePNBqfJp5cJkIcuPfgLmaxz51PfJZ2uYc7OFZGgZQYY9AySkgoRX4hZ53psHUKv5QEovIDeQqM48TJyQnDMOwGI2MMdF1HW8uBIsL56SkpZmIoFCNkA/uNIHFktV4TxxGJhcZkmpJwpaeUgIkCOZMaV3nXMq+8/E2iWP76G17PF+8cqCRE17K/t8f+wYHSBfUbxvUT4jQw9pe7PokYgxT9vKVon6dZzmn3jsjJ0yUhnK91LWtZdByn6pQM+/sqe5JS0ki+8YQwME0j69W4K/WlrCUta9JOF63qxuzCslQdf84amLVtbQIkwzQqtdJNmzKP6PCnbm7aON/SD12BdFUrwtWSMhTtsc3nfO5zv5DPffYX8NnPfo7Dw0OapuHs7IwvfOELfOELX+RnfuZnODl5TIiB2XyG85auE+7fv8/zH/s4P/RDv4gHDz7G8eEdGu+Zdx2zmVJFLRYLmsZzdnbCxcU5r732KperFTkl1usVCLz88jeBwosvfpzLywvOz8932e9N28VFYBjg8YlhPVisbVkuW9pGONwvrNeJzVBoy5woh+wfHbPYP+DkfKVaWq3OP8WYMNZhPWBk10/fOndl5DAYhCKZWCJiEyKZthP2lg2/6DPPk6bEa67hm1/pKDkyhhGZBhY5kouCSErZxig6QzpMhX5UoEWMGYrUKsyHX4L+UB3UOzJKlO+8+e/ypwric6IzTp0ztM6ynDUcLjoOlx0Hi462cYR+TYkKnRZKbXRnjULDiGBoTaFrHLN5x3LWMGss06RlwLPzCzabgSnWqFVuPt0H7V1saXeadsHycB93cBf27xD9TIXYYr7qcaQIFHzj9cQh1WheObe282PaZzGcnJxw8uQJL3/zZZ1psTo7FWLkzvEd7ty5w/HxMdZavvXqa4zTxBQqNZKBF+8fMXeG+d6SYjUi897QNIbeWrIIroCJEVdGnUYvmU0IZLn5DOre0QExZ/opME2B9WYAcfh2jskDwRhyHFXYLm/n4IBKlTXb6zh88DGO7r/AYfIMseAenewg0t57nHO1VOe4d+8eRoRQ9aVCmBBpsNbw3HMPtOEfMjFOhDQxDmtyDMgUdppHTIFCQOm8RUcATMFJpmks3jW0nb0VFJ86S42+vVfnY5oZRSzr9VCRY7oxasvU0zQt+/t77O3t8eKLL/KpT32aT37yUzz//Assl0vmszkP7j/g+PiYT3zik/zoj/4I3/zmN+rMlQ72pgTHx3e5c3yPw8NDuq5jsZzTtS2LClCx1uBr6Xvbd4oxKGN9RVrKZs3rr7+GCNy9c8zrr7/G+fmZjkDcgsN3DZgkJBGyGIr4uvElUh2eNdbS+jmz5hDvvQJLpqDSJk1HLoVhmhBQVves5Xqz0xCpN6ko3kptlFLWcQV0+Hc+m5FdZl6dPVhK7UdrVaYedNkN5ABbra7MMKadptTTkiv6wFRH+t87z0C9mxqrRvVXF9fbJqT0vuqcDKVmTYVF65i3njsHC472FhzvLVjMPEYyYRXIMVByhK1AIUWpbOKENQ4vhUVj2Vt0LDtP5y1hHNhsBs7OL1n3IyFlLZndxhQkOmeSVdSGppuxd3gXd3AXWR4T/AzEU4ISZyq0OYFA13VAIZZU4c2VbaBoGr9lbz45OeWrX/0aP/OFL3J+fs58sUcpMIXASy++RErQdQu8d7z22hts+p4xpjpzI+w3FrO/YL5cKtehCN4LzhkoiVgyNmZMzriS9XhSBsJTO2nfy+4d7bMZRjbDwDiNJLE0bYu1Dl/mWIEwbhjHSVkKjEpnFGOwTcPs8JA7H3ue5z/xaTbZ0YdMblpi0GzVe4/zHmMszjnu3r2LIEp3dH7G+fkZWrVvWMwPMGKxtqkIuIHT0ycKwa9cdZt+g0rIFNWZEgB1CtYkuplnMWuZz5tbAvJU+IyAdw5rHbabUzBselUmViYELTd539A0HXfu3OXBgwf8+I//Yl588UVeeOEFdTTtjL09ZTz/3C/4HJ///Bmnp6d84Qs/zZMnT1itVnWvMCzmeywWe8y6JW3bsFjOmXUdy9mCLXGt8xbnTOUIVCdVSqolfL1eXn/9NWIM7C0XnJ2dcXFxTrylMp/zYIKQjVDEgnHUiSVS0gxFjKPpZjTLA1yjEjjTpOViP/eEElRaB8GKwRQFRqjGw1V5T785hTiUXHYcgKVomXDWzig2M+tmeNfU2TG51jIoV+W9a5lyrs5umnTOMFem86dxen5wJgm+O1qLdxzsvfa/gJb0KCy90HnL8bJh3nqOFp6DuWfZeZzR+v82otvfPyCEiRADIUS8gWFKNCax9IW5zXQEchgZS+BiPXLRj1xsRsZUwLiKSrsdB0XOKsbYNNy9f49Pfe6zHB0d0c1mxGlCSsF1na5TnYnKKXF6ekqpzX1rDc5aneoXzXxyzpydnfHyyy/zhS98gcODQ5577jnu3X+OUjLrzYbDwyOOjw45OjqgaVt+0Y98XjVgpJ6kFPYXcxpn4WCJxISdJgVmGINJEyZF8tkJZXVGPjshZyXhXG8GVrcgsGecw/iEbRtWmzX9ySlHe/vMmpajeUvXebztcO0a262JUVWKZ7NEt9zjzkuf5M7zL7F39+OYKeJD4EFU5nMDLLo5s24B1iJGSWlLKaqELIJF0H3Hcnx0F+88zvmqapoYh54QAsN6Q99veHLyiNXFGavLc8qoAJMwDEwhcLEKjGUiT5nF3h7O3/zcTtt2tZohOO/xvqHYhpihqcrPy+Wco6Mjjo6OmM3mNL5hf3+PO8f3+PgLL3F8fIf5fMFisVDNqMYjdXRES3SNkg2Po/aJYmLoR8Yx1N6plq1UxqdU4InFSM1mjeyc0hb9aA2kKTJOI1/50pf45te/xpd/9mewFRxxcX5Gijdf5stlJBbHWDqGnBljYJZ1OiOHCMnimzndfJ/5/l28bXACbaOyJsvFnPPNBUM/Mmu6et2bKnxaZ9KyoiBFoEhULTMjpIKKtO56S0LOwjSlynbuIRtK0nK3ovhqhlSAOmfVdkLTqjZaKZBiJpWghAcfsn1AuY3qoXez49cGFOGtM1LbbOt9HLMgWKikr4VZ45g1hpk3NLZg8oRFLxSp7y27wcCuskjDrPUKR88Jb0VLhSViciAlRymWfpwYxsiYdNZFtnxWt5RBlaxaONY5ZrM5e/uKjLGVdXgnn71D3G0bv4PSx5RM17bY7oolQyn1M6vLFefn55ycnPLc/QccHR2xv79HTBr5eO8U1WcUgDFfLjWSt3YXQRmjMOFkW8QUsu0qUs2SS4AYYNOT7aYOouoxh6A0NTduFfxgnSWXxDhsiE2rkti0iLU0xtEVS7Itw7Am50hjYbZ/wN7hfbrlIa5b4EpPKjDrWkrOSkg8W7DoFhTrwBjtXeWMFUOYzYjjhDiD9Y6joyPtydgaJZcttD+zWW/Y9Bust3Stp/WGsDonjyNjSfQlsxZDSRDI9eK/+TJ00zQ6+9KoM/a+IRaL5ELTtnjvODw85M4dLRdLZdtompa2nbFc7jOvczPeN1VipELuo/asrLXcvXu3gnAULLFebbi8XLFarUlbzr/tNVqqcqzV61eEyk5eWUHqczWAi1xcXFBK4cnjx8xnc+bz2a4fe9OWKinrlIVYBUNLFnKpRLtisb7FNzOadr7rK1trcDVr17kzZXo3UsdGZDf4tNsrdIB6S2GsZTvdM0rNqDIpbsl/0e+uUiVVEOC1TGr7LipZ75zZ7cc5FWIuT4Xp5LvoQX37UVzBx9/tCN89ewKwRueTFo1j3lo+dnfJrDGE1SOG80te++pDXnzpk9gXP8ViMcMajebabsb+0RHTsCGMG1UiTYlhSMQEYdowrRN53JDTMbiWs01iEzJRPMVUWHWtrd6GxTjRti17e/t0sznWeZ3N2s6IXOc1FGF9eUm/2XB+dqqlQTEcHR1hjoWubQGNqNbrDa+++ioPX3/ENAYWywPmywN+5ktf4ez0lG9+42U+/elP8+lPf5rNlPBty6OTU1JOteaspgPSqkdjxOCsY9Y0zHxD2whOYNnOmfyKkxCxIWKScvtZe/MRf64KpHvzDomRJmf224bGGYYpUowlWc/iznMcz5fEOAKZ+czTzObs33kA1hKmwLBRhGWaBowIjW8hReI4qPqwtdiu1f9bizk4YDGbI07nRWbzOaVcsU6UUph1M0xrca5jsdzj4HCfi7PHXJwd8eSVb9BfnCMxIMZy7DqGEBlj5OR8TSo3T81zfHxM13iOD5aK+rSW8/XAFBL7+4fsHxzw2c9+ugYtwle/+g36TU/bav90b++A/YNDDg8PaBrl3ksp1Z5IuqJOQxTWnDJGdCPuunb3PICu9QiF1eqiZmNzjOjjJydPODs7JdSBdGeNbqjKiso0TWzWG9btirZt6fvbcVCrtXCxtpxeeIYIpEDOM3LuGI2l2I7O32F2cJ/5cl+ZURAaZyvDudVScNHzT7yy5UsuO4BULrFScgFiKRnGUGqGmQnDhn4VefzoMZKFmAIFHRDvGkvXOlqvHJBTLMRt4Fky2Rm6uWO+cMznOuQ+jjDmp6Ov9QEd1FZ2/Z0ypUoaue0FUapo3XVXJFdkkju4reCMYd54Fq1j0Tr25i2dg4t1oaTIZnXJZr2i71d0nccah6kZlHcN0qrSpiktpWRmndZH16uREAL9ODLEQnENo1kQ85af4vrh3VIGVRQu2nUdtmYu2+PZluyunlwHIkupKLQrddCrT6Tw35wy/bonhAjUdD1lLi4uODs75/Ligr7y5aWUMDkTkk73x1AZq7fzQUU5vay1dG1LYw3iHd4ohN9IQxLHZcj4mHExg22wxr794z59K1mprIwwbzx2PmPeNBixnPc9EWEyjuNuzrzt8LMOa4XFrME1Dc43TDEwDj2bywumcSCFEXEWKQ0pTAxTROqc2bxraxRvoNHPLHUkwDpbM2Sd8s8VxaJSE9t+dmaxWCIlMp7tI1mHeF0LrXH0ITJMkYdPTphuQbCwaRq6WcfBwQFbouiIpUmFxWKP/YN9jo+PmabAOI7klGufQ3af1Yit7ObbQeW3wpjVpO4HVvtvVp2Ur2XNUh18zok4BprWU0pXxygCp6cnO3ReSlGP4//f3ps9SZbd932fs90tM2vtZTYMAJKAKImmTVoOS35xOBzhP9ihF784whEOhR0yFLQpUgIBYhnM9FpLVi53O5sffiezqgGQwFAzXXjoM5HT3VXV2Tdv5r2/8/t9Ny/EFa3AGk1VWWFaOsc0TY9jHaUEyPBlomOURtsaKsvcLICK7BcoVaMz+BDwZIbJU1mO16Sk4koyrgZQIgA+4E8yGVGgTCEyyH3AKmGtxpBZ396i0YzjiPcy6i75uUccOxV/yFhYEzEm/CRRNQKtBELx+IuPXaA0B657oYtR+g6lhMGjFY3OaIpXnpVC8jAqwxpd2lap+NZoKms57VqJt64d56cNRmWmtWKbPJvNmtvba9quo+sanOuODJ66bsrOakFbKJgpwjhMXL295eWLV1y/ecP1/ku8sjz7/j9HuQajnBz7Y1lIlHXQ0JyenlK5iugjqlHHC1Q/HPUlyYxRzlItF8UZw9C2DdYa0I6sLCorYkjsdnuho2orjLZ9z5vXb7hbr9lvt0Ibz0IHdsd/K7Pb9yIg9Z7ZC6Xa1jV1VWFUxnUVp43hZFFjjcZPmllXfNUn2hhZpIBdLam+BWX571py+8w0Brpli14s0Nox+8B/fPEVu8mz9/CDquPko884Pz+jbSV1ORetUr++4fbmivX1G+Z5wlWOpm3RTcvY7xn7AV3X2LphcXoiok/lcMaRHShTzGPtfTjcPJccoJyPIyq54WdOTs85WS1h8uyaJQaLdo7l5QVTiIw+sP73f8XdcP3ez2fTNJysVnzyyafl5hipFjMZw3e/9z26ruPs7ISrq2vGcSwRLqLJy0kRg+AXBwNTkNBM4Gg8eww0RNzgFRqXciHZiQA15ESIHj97tus7rNMsFi2znxjHgZ/85O/45S9/zjj2R81ev9/h/UxVVVSuZrVoaRoRC8fg2T9CB4W1ZFMxpw6FpjWGqnuKWazYnH2XHBRuvRcNp/fcbXbMMfL6ZkvXNJyfBaZ5ZBh6XJ3I2VK7SjarSolpqzUlyVikAEMf2Gw8Rmla5zBY4pz5+S9+jilatv3ujhgmYgyEYmyscgJTNqspSjdKZH19S2cV680du6EXK7D0B+BmnrU6VKTDV5A/ZazKOJWpdaQ2UBtYLiXFEu2KnYn44RmjiypdxntWlxOn5XniNBKyANNkMMYyTSPruxueDZdUlcEYBdlSWYdSBqWS2PhoJUyzCrquY7Fcslr27NMkCadkyFFmrcXrL6G+lZP7+6zDKOPs/Iy2bVD3tfwd7KmcaBY208SMTh6dJZrdKIfJtRiSIu+KMYblakWzXh9p0QLmz/hCWU0lgG6eZ7GZGSZ2uz1XVzd47wu1XTKnjBMBbPYTK53xlWI2mWwdU8j4CDEbYprxMTBPg1imvOdllAItTsyH93j0gb2fuNnfsZsCQ1DsxoFhnjmh7Gq1JcVAPw7sdhs2t1dM+w0peJxakI3GDwNzv2fse2yOQrvNolmytmREJSFJoDl2xNZIHpT1FqtdwQ1Kd6kdSklO1en5E5xx+HFGW8NqJRqubAy/ev0W19bv/Xw6544JuAfB93KxpGo7Li8vjzRoa62kOBe5xgFbAtHsTNMszM9SoJRSgrU+LFLIjl+hqJwrLLvMMPRH3VmBjOVz62ecN3JvWK/ZbDbHLi7nRAyBGCJeeZy1uGOMRyxxH+9fBrrfZ3a9YeNPCFkTs2JaO8yoiSHilMFRUemayjaELKzdz54/O55TayqcaQjBkbMm+JIpZe8turxGwiIj+Bm818w+M88QlcYnRe0jOnsYdkzzXLBrgZVzEqlDiqK/PAivc8q8eHFDvxuJPvPVqzX9MGLct+PM8fUKlDp0TYcbfb7vhBQS9KYCS2tY1IbLs5am6dCukeJkHUZrrNGi/CIfTTqdksTXGDx+GonxXs+gjWGaJ9brW/phT9s2LNoWZRXZOSidnTaH3ZjoDbrFguVySX8ycOc1hCxMoCzRHAojLgIcyB/vf1lrqZvmyNyTtpz7UeqhSCk59oXJaJtZpAlVFP6eGk9EEl2kQdfWyJy+kSRNwVClQAUvmUQC2EbmaSJl6Tr3u56rq5ujoNd7T04J5SxN5SBMXNSaeeHwVpNdZEqWOWYShpjE0WMae+IjWMmYYsNjtMzuc1bM48h+Hrnpt+wmz5wMu2lgnGdCElujbKyYvo4D+92W7fqGNO3FpaSyMGvmfmAaeuZhT1JZpHM5FhBbog7IogdSuvgelmvGWktwgRSFt6sRLzjjtPhEagjnl1S2ot/t0VpzsjqhXiyoupbPXr9+lAJ1wJ0O3eU0TZw//YjV6RkXF+cADEMv4uiqvi9QxhZXDYghMk8zCgtKQhDl56sCvh/A/nLilDr6Pd5H9+R3Rt6xRKrMs2GaJjabO7bbLdM0iaA5H1zlpUvSWuPKdRBjKEX1/Y+g97tUCtSKEDUxKfbZoZ1iEYp90UIKVG0b8CNGKU6fPUPE9xlrKileXuMDKJUxOtNUGZ0SJsn9UOlMCDCXAjXNmdlngqqYs8bFhAqRvNsxe4/WqhSoct/JohGNJdBTaUvImRcv11y/veP67R1zBB8V3cHp5hteX6tABV3JBZs8h5iCxmoMkbh7y+wnbucd9dNL6uaCZW3oOocpuhFnpZMSbEpmy0XrjCETg5O5cXB4P7HbOck4KR+qaZ7YbbdUzuGKp1yKkYPVylGomsT0VLmasyfPaFfnsFqz6Se2vjgsaMO305R+vaWU0HVPThasTlYsVktSCviSayXhIBKZkXKgGW5x+1vqq59B8kQy8ckfgW0IpiYq6SL6fs+XX71kfbeR+bFWUtBVLim7hn6auL5bY7oGV9fcbXZstjt2u50wqorbOWRUjOgUGGxmv2vZbhv6aUIZQ6pX7KdRdFLJYBL0s2d8hNNb6bqIRh0BRQTWwXMzj4Raxkx+mNj3G25vr3j69JKUWtGNKJn55xQwRJa1wSqDIUPwTLs9YR4hzLRuRdvWNHVFVTm0NahsgGI9o/M73QEUvDGL8r6ytVCiK1PA0EzVLIkBYjRM08z84i0nl54VidWyIanT934+h2ksWEcoURoNF08uuXzyBGdNsQ+aIQsxIUbPOA7crG84354TkpdH9JgyURvH8djBSNeljuNOA6CQAmUNJEtOiegDPgvSulotqCsHOTHPM+M4MU/S3Y3jXCj9iSlGQnFTMdNMP0xYY7Cls3OPELexvc3cjYqbXcMYHVO0uI2ndZnPngrM0TrNou1YLTsWwQKJelFDVgQPtbKcdSt+9mrL7W7m1dUoQn/tMXqWDU/VoYwlqoJrZyQRIXvq1QXNYsGz50vm/S1v1rc0ixOeP78k2AWqkvsB1pGzjFyzkmKVE/hUSYbcdY+2Dm0d1hh5T77h9fU6qEJzVShh0qHpKoNVMG5nUhpJYcRkj1NgVMYoGdtpnXFaqrr4oCkoAKpooOTZNYiBJ9LSm+I4DaLtmea5gHr+mLp54EQePOjSIc44A8bhGkfVTLioyX76B2CnxylWB7+yuq6oi+9WP4aScMlxF1mc9dBhwsw9en8DUUZzarWHku6atQh2ffDsdvtjTPnhnAupQnaqISYmPzP5maQU0zwxz16wkiS6igNllwJqpyRq9HH25BBAG8AxBi8dthKiakwR/wgjfqNcaV+sgLpkxhQZYgCrwWnyFPAliuHgPFAwfZQSSm9lDa0WV5NU9CCzn+U1pyT4p5ML0xh9ZFxKeCEPsJXffIB6QKaw5V3meLFnZQghMU49rnG41qF1pq7e/45/mqaS6TSL0LZtadqGrmuPAnHywU2i4EVhZr/fstvvGMaetnWkVJOSmMtO04Qxhnmej4Uq6VTAfjiEQmolnU+KIltIMWOMoq4qrJXif+jy5REKeUAIPqFQumORVYQQZXToxO3iMLp8n2ueZeQWomIOhinI57TShtY5amOI/gBvJMhBmoFcikUGpxVtJX6RRsOunwhedKSa4qrjAkpDMnKJ1i5R5YTLEi5om4Z2eYKKMykJ2WzRtQw4sjVYZ8FIKq9BNr0piV8l2pKiGCI7ZTG2GCB/C3EwX3MIG9E5UuWJi1XH5arj6aqmVoldtYG0wtmPqOuGqq6Z9nvmccI5cbyuK4dzNbaq5WIspqcHtp/WSiIlrID+dSXuw4vFkpiFxrjb7Y66E6M0+Qh0ZnGG8IGhRBqHKFqDEDNX25ExJFTVobSRUUQRlskw4XFGfBK5bGmalq7rWC4XzGHE+yQF5whKlZsAEfJMnLdio28dKgbwEV1z1CKIZ9zIPMuFixJq/vLslJgUc5+orcOiZOyXEsM0EFKg64TKb7QuGJ9iCh5jDG1XM6uKt71cQFkrlAff7ximiSZEXAYTFPoRWFLWtWTESmaKM7sQuAszmzxTn7ao1qKtAR3Z7e5KFMMSYsIaw+rkhCo/56yxmHFL9hO7zSACRz+h8oxVkeWiZXWyoqpqtHFH2tA7aOaDj1TKMk6FUvC1LuMw2agpBcpUKCvki2Houb2+Yhi33N6+ZhN6fHr/mN6bN29EujGN/PAHP+DiydOj3VO/25NTomua4m2X8UHcMf7+Zz9lnCc++fQT/vSf/YC2/ZOjNumqOJ33fc/p6Smnp6e0BzzK6HtcuGyQdpsN19fiJXlysuKf/fBPqGrRVN3c3LDdbLi6uuL25pZxFDJKzFKQDtRnXfRxddOwXCzo2g5rHsGKVFdURvHU7ukJDFScf/wpq9WSJ+cLdps7/uPf/mc+/WjB/uMl19c3BO95/tFHKAWzn0RLlxLf+eyf89lH53zxNnC3G9kM4eh4nCaJejcq4XSgMz1dlehqCNqQnMXVFm81cZpxSnPSdFSmIjvH6UI6qFmpYg6bCUEMeKOLqOSxsSoRHJaucTT1N38+v9YzmhSodGZVWS6WDc/OFqxcwqSINxploKqbo5lkCFFSSrW4HFDYPFo9pFDLzjwm5IacEgfnIa3Fl8o5C0G+P08TWinGaZSkx+AJQT6M67st4zwzzhG0xVYtJRyCkKUDVEq/g6Ud1uOUJ1iuWtq2xpT4hwND4oAZHXC+o9WIMmRtoWogBTCOfLRL+bV1UC0ieIhzjieXl1SmQgXNarWkdu5Ix+33PdM8i8ehMWQEjFZAnGey0cxasUsQffEyVmCmGWaZlRstXYGtIu4RCpQqXoMhJ6YY6OeBMc3MRLTV6GwwzhCJjF7shmLwhQ5uaJoOE0+odCZtNXEc0GNC49FxJqfSyRbX7qyk9xfXnMiB4ZpVIUwcet+yc1DFxFMdNx4cmX3FlAaMKiPrQPSKMCZIHpXff0vaD+ORyp0K+/BAlogpHgkN4ox/eD2JefZstxtevPiKp0/O2e6e45x0LPv9vtjuHLAgiyJTOQfJFGq6ePLllOn7ns1mQ7/vMWWacrCa2u/3rNdr1us1u93+yHg9Ovrn+2v7IRnDGiv/3nteNzvog7wuUkLlSGU1dVWyrIrEYZo002jY77aEORDOJ1JObPstoTizf/LpTF0rzpaGEC2bwZT0B6j0jEIx5YqYwCuNT5m5ZODFmIlZHiFrfFTMQYlGr7a0jSFrkUkYDS4rkhFmZqJCJfEA1NqI+N1prP7m76Jfq0DVaWBZOT5/suTzj874zvML9tevmfYjvRLRqKtqEqa86EwmUtVKwsecZBPVtSj6DxRScR6IR3DTObHu0FrjnKVtWxhHwhTZ7nb0w0BbN2LSOY5stzs22z1ffvWK3X5gTpp2seL5d76HqRpMVUPVYTncUA5WPo812Ltf3/nOMy6fnCKROJmYxVdQowqLKaHR4iWdIdoaVS9pTp+jUiRpQ2o6ksrl9iY3RKUVzgnbURuxhVosOv7lv/xT+v3A2+dXRRNiebtes+0H3rx5QwoRRxbPNWMZsrhV+KGXbq9qS+G7B/fr2rCwik9qQ2UqDNA09yLM97qsI6XIOM+shx1vdrdsfc+UZ5STkbJpLDOeu2HDfuwZxxFCxtUV3XlHXi1J4Qm7t6+ZdluchzxKd6lCEY5Ky0NMMlghZVQKqBSIxWXC4I5jUTkXJcFXW7DFK618P6VIiEFYWwawoE1EJ1BzokpRsLD3vDab7fE6VEqOfbfr0drijKZyTiYmbhRiRHE2mKaJ66tr/uqv/oq2qbi4OKMp0RhXV1eM40jOmY8//li0SxcXgulVleDVroIssoe3b6/48ssv2W13hOCZvaftxJ3i5cuX/OQnP+EXv/gF6/VdCUyU6+hAOJYNsT4yY2OMEtVRvX8ZxN/+ArKF2CjmGJlDxuqEM5mhHxiGnugHwmyYJ0u/2eJnjwqR4Gfevn7Nfren7wf+xQ/+lJPTJX/ySU1TKV7eBmoTaXXiwt1gCXwxfYTHMOsalTxp8nRTpBpn9n5mCIkJy92k2Gwjn545lquai5OGiIJ+krG1EicLhYKFghzJ0WOs+VZHpV+rQDmdqa1i0dSonBj2W96+fcPubs3V6xtsVXNul5jaYatWfMmUQrkG5SzZNmAqxCO+lIcc7zsFATxkng88+N8x1ygWiuh+vyd6z+31DdvNju12x+s3t+yHid5nTs4j559AhUEbKZpZlSCPfPgn84Mi9Til6mRZsWwttclYpBtVKUMq3Us5H4edYTAtqs740++iidKp1md426C0E+FfoTjXdU3btqQU6dqWrmux2uCMYx5mmfEbxcfNM56EQGU1yU+YOGFtjTE1yVYklDguKIWxFZW1OGtoVJSEYyvYltGW+e6K27sr+hKX/t6X1oQws+n33PU71v2WKXmCSoWCL/8N48DgJ65vr2lcwyfPPxVGpbJSHLSmaleAYeEjduzJRjMOhjhALBuweU4oHSEmVJYCRVU+vyHcd6HqHv9ThaFGTkVQOhPmmWG7Yep70jRgYqCrKipjqI1mCor4COamKaWjpVgq3czd3R05w+XFGcZY6rrCVe5I2z6M1UIMbLdb1us119fXPHv2FGctP/nJTyUKA1iv19zc3vCdTz/lZLXkdLXCuYq2XaCVbGLX61uur6/Zbne0xaaoqsQxfhzHoqu6z93Kxw3B4fqW8y1YlmdSmqlMYt73mlNNZRecP7nEOgkSXZ1WOJt4ux7odzPaStCltZqnTy9ROXO67Nj1GV2EuVYrhmlgs9txtxnZ7YN44tlMVJk4CxUqxYSyGlsZDBGdNVWO1ClQzxPkwNmqgblBhZam1tQOTpagtMAyR3PwBOSEn8X3UDrSDAQxjf0W3OG/VoGyGiqjaZsKYqDfzbx9+5b19TVv3m5oFivMSaZzFdotxAq+CEuxlmxrsnHiHp5CqRIFZEUccUWVrwp75NicF1qpRGorpej3e4Z+4MWLF2zudmw3O65vd/SjZztHPJY5glEWa5oCdMuz5cPIrFApUY+ngzpZOpatoTYZpxI6hVKgxKeLg3lrKVCzaUmVY6y6o/M7ypF1VRw2JNHVGEPdVHShBTJd19G1HbWrscYyjeMxu+n09BRjNMsa0jygxw3WdVjbEusVyVg8ct61sSyK68eSmUolnM6M2XAda158EVlv10xZOIjve2UgpMR22HM37FgPW0abCOpA15efG6eRcTtzc3tNU7WM00jV1ELaKaIS163AOBZKYcc9kUQkMftQChQPClRE5YDOEV2MexP3O/aD6Pq+QB20Oh4/9kzDwHi3ZhoG8jhgUqCrKyptqLUQieIjxEOIyFZT1w05p1KgNpDh8vzsSBd3TrRehy4FIMTIdrdlfXfHzfUNu+0Way1///c/5e5ug1KZ29sbrm+uCfPMxfk505NLmqbl5CSKsasy3N6uub6+Ybfbslot6fu+6LP0kcRhjD46dtyTizgej1z74vOnEELQYxSokGsa13F++YSTVcNqVeODON98tR6Yxwlt1bFIPX1yTmUsq0VHDB6VJCPPGsUwDmz2O+7uIvtdIqZMSpmsBS/KOZFVRGGwlcYmjYkalxN18lR+RBE5XdXkuUGFhqZW1C5z0omuqqts6SXy0bdvSF6kLEamPCklUpi/lbyyr0czx7GbE796fYtJMzpNXL3dMewjverwqeFNr6iSx009lSnEKWdlxNR5Fk3FoqlodMQqybyRzaRCaVGgH+1KDkapDzQYpmhL+mFgt91wfX3N0E+M48zsIzEp2sUJzeIEU3ckU+PRhOM8OkNWx7m/jNEeC4GCeuFoFhWLRU1V11RVTT8MwkLKiAahOISnKBYyWVkS+gjKi/4G9DyKUFkbUs7i71c3Yub55JKLi3Oc1XjvOT1dME4j0zTy9OkTmrrmjz59Tup3+KsX6KpG1y1b2zFkxZuba8EUcwZrSdoxhUBICRU9c5yZ5oFKwcX5Kd7KhfK+191+x12/5eXtFbd+Rx89s1GCHSe5YznnmG1AGc8vv/qCu82WZ0+f8Xz6iG6xvGfmmRpVKTQZV9UsjEM3Ha47wXVnoBuGcQI0OSYqKym4qoyQ/TjKuLXgLLrsOOW/SIyeadixvb5me32N325JfqZLAYwmL1bCai3dfngE54O2aWnblrPTM1KC6+tbrKnwc+C7n3+3jHo1dVWzXC45OTlhuVzy+s0VMSWsdbx8+ZIvnlzw/e9/j65rubvb8Pr1a96+fctqtWR1suKnP/47VqslHz9/Ttu2nJ6cYYwQqX70ox/x6tVrUpJd+09/+lOeP3/Os2dP+eyzz1itVlxdXfPixQsJP1zfcnu3Phape3RW7i3Be9ba0D8CBvX82Ypm2dG2mpOF5mKpWe888+S56T3EzHnXMM8Db9/ucdphlOHm9kbwYaMkgkMbvnyzQ90q3tzWaGP5737QUhmJH/F9zewj28ERlUJZjYpyzxj3Pbvo2dWBnEZ09oRpy/7uiv3dW5RSvPrVz8kZ/BzeGS4prYSCDsQoRUo2B4pvo95/rQKVkF3jtp8gjGQ/spsSc9RE7fC6og8wTwmTPbUWAZmzAecsPovoK6UITlEZqdLqIPfNMuFLxWX3UJxiEqFYCLGoqQ8Xu1wc1jmqpHGVIuuMWaxou6V4XGlL5H7eL8UoPyhQhyHfIwl12wrbOIyzgheVw8g5H3309KGDykIhlVNVKP/q4MKnJLzxOLPMVJUwJGNMJdpd4SqLNorlaoFxskvrmpq2rkBByJHB1cUMVYtuKmWmSXy3UohEFwjWMYYRHSM6zsd8GE2mW7TEGvIjWPEN00Q/jSLETZ6A6L4OWVlACbuTx77fk2Lmen1N0zQy769UoeIblLZgHCqDblqcD+SY0bYiKY33QUZIMaEwaGVLHlZmLqmt1toHgtP7A8kp4ueJsd/Tb+5I/R4VI8ta9IJUlWBbOWPDI5xMKPlOFVVVk1NmGEb6fqCqavFpLJvIAwlHHM4dIXi8j8VVf8vt7S3DMBzDBcdx5ObmhmEY2G63jPuermvpdzvatmW1PCkOMZqXL19wc3OLMZbb21u++uqrcj6Rn12t+OSTT8g58+bNGyY/s9ltSUEmBLJJkNeTiqfcPAsb7n2vtnXYyuBTwgfB3qc5yMPn4oLjSFn0ZEMYICs2pvg5KjEuqJRlNwT8ONHPltXC8clFLQGORrOtFf0cqHNkThAPhCmliCHgp0yYDOSJFGbmcWDYbYmFE3B7LUL9aZw5uKYf/CVPLy6QYh+w1kgml1HfSubr1ypQPos+Y569aGOTg/YJtgWDlZTNaCBF1DzKzBNxQNBaY6s9rdN0VvPZ5YKTrqI67YqOxAhxISamcSKESVwAfOb6tuduN7EZIudPzjldLXl2fkaKge9/93vMQVx3v3x1x26YSbahWizpViuCIDVlJyXrHoPi0ZkS3WfPcdUC7xzD6AnTxHq7Z5gm9pstGiV0cOckMK5yKCNxDuJfds+IFMhOir0qwPYwDOx2e37845/y1Vcv+ej5uThL6AqrM03tmK++ZOj3/PXf/pLNMHG1n/DzxDzNbIeJyQe2Q1/orfFIj27blspZlo2jM4qnNvPke8/56HvP0EuLsu+/6L+4u2I79qznnkknoi7v82HGW/Yi7aKhrmrubjbspy1/8+O/Zrvb8PHzT1guVyy6pXwstBYrJ58YpkhWllwvmBMk74nT3XFzNVkjAvJBeqRxHLDWslwtRVcCyFZClQ1FZtjvubu54erNa1ZW01hDV3WFrXbQngkjzcfw3s/nanVSNEPyWRrHkco1KKVZr9cYrVguOlLKWCs41CHQURuJa7m+vubHP/4x/9Wf/RnPnj1lsVjQdR0xRvb7PeM4st/uqJxj7PdoLenB+13Pbie+kDlD1y3o+z1v3rzk+fNnPHv2jD//8z9ntVpxc3ONtYa/+Mu/oPpPDcM0cn2zJsyxjKIebEMLVpUeA9Oznut+4Jf/8RqHxiktngVKMamOk9qxXGm0h+wn/u5nv+D2dsPQC8X+T374fZaLjkXX8XJXs/WWOVXUTcMff37Kqs4sXKIfItshsflPM3eT4i5ZEjJJUCZjXMLVI1O/5e3LF3zxs5/z87//KU+enFPXFbv9wDjNrDdbEWjXDW3X0HYdzz75FK0Nw26grh1Vbbm9fsM0Dt/4+fp6xPVyU48ZVC4jpjIfP9BtD7Ne0c4W2qwClTPBi5g0BRh9Qxtz0fmIRPdh9ojEmJdArQghGZKqqOoF3eKEk9MzVE60TcMcFFNQ7GON6SfmrDHFdkX9WgF6p3PKB/q2eqwGCuUcygoTLGaJUB6nif1+z5uXryAmKmNLWJxFV+Ku4eqqGMo6rLFYa2QurzXaWsZ+ZLu5Y7fdsd/t2XctGhhOGqyxKDUVd2dLGkdiv2Nz/Za7wbP2Cj9N+Gmin2ZCEPrr8b1RMhaNIeKBSSusgSiUALSRvBjt3r/V0W4a6P1EQES6B0nBO/9XYKz4ulW1I+jIdr9ls71js73DWkvbNKIaz5kUAn6a6Xc9wU9EPxFiLjk+h4jyVIgiGrTM/4dhoK7FzsdZR9d2GKVBUyITNCQx9p2mmQaLUzJG0UaXXl9GfC7VqPj+uyhr3ZFafrC/EkPYxDRNx5BBAcjluiVn2ralU4rVyQnWaKZR7IjqusKUz+vhwpQI8SDjp0lYY95Hdvue/b4vOJiM5yTjSQyM59nz+eefSwDhZkPKEmdirRCEBJO6fy330R4cP8vvez158gQ3NlyHmhyVyHCEC4JLEyYncpT07DDOTMPMPM7M48ToHPvdQNe01FUtzMSy75rmxNV6YHSZvRNReT9HfMikdBCHaxz6mDiRShp5XTvqphZ2tRb4w1qDjaZo3kzJ3NNHk25tDLGyOHcw+P12dvpfO7BQflN8H9QRPytfL5fUYUx1YM1RmDQBvI8MRJ75TJtU0fUYxBcv3o9isiJmTciGKTqCasFZlqdPuXhyyccfP0Er8e8bo2YMhrG6ot4NbPZ9iS0WWxmVMyrff0Df6aQeEX8CwIiuKWVNTJEQM9s7wdb+33//I/w4YbLomLQxaCdC02YhNNtFt6BtBSc4Pz+jaRqaVub8P//JTxkHcYdoXIXOmX7XYkiksaddnZJXJ7j9nrjZsHv1JZsps9WrEj4YMVlhjKVrmnLjfGDueQhTI+N0wiAjnxA9JhfH1Pe83uw3TCkwG9EsKiU3ePK97ohSBDCK1fmSMAdurm5xVcWLV7/CGFgtW6xzqJzx40C/2fL6xUt2w579sC+SCPGciyExDBOpEFtEt5bY7XYslgu+973vAbBcLnFOzqczDp0rNBUxwDjOuBQgOXGmNube9UMrVG0fhSRRFSp23w8FG5aR2UE039SV5F0VMojoygLPnj3l5OSMH/7pn/LlF7/kqy+/4KuvvqLv+yOxAqTwGK1KMZZCTUYIUWVEevi8TdPIOMJuF9n3Pdc31/zwn/0QYwxf/OpLlFJcXlyQUy641O2DCYkQJaT3V4U48f7P51/+N3/JeqdYfKnp58RQGHExeO6ufkXlPfMust+u2W5uhW0bM7XSpNnz8sUbTpcnrLol9TZhJ7Eju1r3/B//YUetM5UG40TveT1WRA261tRWs8BQGYVWmWkcMQo++vgZ07gnxpmx35NiYLVa0C1a2kVz7D6btqFpGzH11qAag1IRlWfUEUj5Ztc/oUCVw1DqQWH6bT98f7D3RaAIGB/8KqK8w8dTvMoyghmMPuOTwjYLGltjY6RuOqyrUVrCz7KKzCGyHzzDODFOs6RUHj+E8Ns2Su9O9x6vSGmV0SqJFZQz6EaOO4ZIVddy8EXBHaJHFVbfZrMVZ4emxVWOqqro2lYydCrLMIy8fv2G4AMhJhSwWZ9ysdCSuUVEh5E0OsEFi0bH6iRdmOKoQwGOJrbSRhdmVJSbdMgR4xShtUwa9jEwTiM6vv/z2seJkJN0T9ybjcoIvgB48ooAJLMpZ9CJEGfWmzVPnzzlYNQrfH/xgpvGkc3mjuvNDT6IaNcZwZf8LISRGNNxPDeNI1MYUF9k6tqxXHScnz+hqQXbM0azXC05OT/j7PKSOO6ZcmIsZp+tE7/IlJMo3B7hY+p9KCQlX1xPHGShzm82G4xR3NxISvMcAnd3d/R9j0LTtA3Pnz/nbn2DsfaYbOucpapqKlcdSSSHAVwMgrvGGI+sy4O4Vu47Yi7r55ldStze3tI2LR89fy4O/ssFk5/pxwHr7DvAvVIiKq6co6mFpv6+1+effMYzD5cXMPjE6MXp3fuJzc1ImifS1ONPa0K4ZPz4Y8IkGJFPiX3MWGe5vdsy9RNpytTJg6qIccmQFCOaOGcSijGCcuAaUCQ0AaJYQY3DjLPQVIqmazm9OBfscIblaoVSimWM7HZ79vv+CCfoYl1nbNGYoTFkzLcgJP+aBSq/e0P/By6YgoIAD7qVBz+cD7D+0VVCRoCJdBTYxawYfcJnja0XqCpRkamaVgpUuTFEDJOf2Q0D/TQxzjPxmE1SKKf5t9f2d7/2OEXKkNAqoVTCOYPDQrHFqYp7dRyFhOC9hyiEiZubG4CiBzFlvCQ3Ym3kAh+GUXwJUYInrVf86WcXLJYNq9YxzyMTWuz0S5dmDJIRcwyY493d5nEMSwHJMzkFrLb4qmFUYFOAOUB4/yOUIc3FkSE9YG/dIz9CO77HIrTR6OJA7uPMZnPHOA0cty85k2MihcA8jmx2d7y9vWKcJHeotvfnKcRIiElMkZUi+sB+1Oz2W1arBRfnZ3TtkspW4j2ntcTBnJ5yennJ9ZuZyU8MOcr42mpSimUD8TgjKe9DEdJL8rMtBqsxRO42GxSZ69UCHyLT7MXxoe9pFyvquubp06e8fPEl1lq2mx0hBE5OTkQ75Vxh6kKhsZR493txs1I8IA6Vg9IKH8Q8en27ZrlY8tFHzwX/sk4iU/q9iIu13AUOmVMydeho2+pRvPg++/hTAP6EUpxCZLfrmaaR3dqz3/W8ea0wrsa4GhsTKkXG/Y7tMPLF9ZqUMpvtDj/swCcaIokViVN8NIRsGHwkJPEutBpc2farHMhxJpEYTSBXiqZ2NF3D6fkZd+s1IUSWy2WJ6RHS2m67P3Asit9fFkahUhgURuWSTP7Nrq9pnnTY6fwXriM7odgZgdi4pECOgZAVc9ZsxsB2Sngljr5aZRmFZUVSVkYCEbbDzO1mzzRLwmQqJbJETj0mB+J3LsUkNk3bDNGggsGYxLKtWCyWWGMZldAdta1KREFit+tLHInM2VNCwOQk5ykj1P2D68M4e243Pf/3//cTFs5yYhSpach1y8XCYUlcT5m9T+znXQGR5YZxbxuTiClwaEvFOtHw/NklZ+dLnn3vCbHJ9H6SG+r736DitS8jifuLRZxDFDoLYyKVlFtdXA+MUjJXV4q+Lz6IWZOy/L0IaOc4vbhgm3q2cU/eBXyYoXRCVWXJ2RXMVclIMRriHOjv7vjyy58Txgk/RC4vn3F2+ZScM9M4cNvPDNmyyxVTiMS3O1btTFAcTYDNISv0Pa9pGnnohqE1eO9RCm5uMsMwMIWZaZwYxpG3b9+y2W7wMXK3XnL99jX73Y4YxJnfmJrLy2eEAE2zYCrBmIJxKGxlpGMMHnSWbC11AAkAlPg/KoPOirvNhu7mhk8++pjK1WhtaJsFJyenx3gNpQ8RLJp2ueDs/JzT0xPct+C+/btWSMUpRoPVoqGLLonx9rMLXoTAL37xBSAM0q4WUXzXNpxenvG//MWfy7lSiv0w4EPEp4qQNFNw+CzeeVMwzAFe3gxsh5kXmx27cUc/blg5T+MyJ0sJHNXJY1WmMqKjlA5Wjs1qyZuwxhZeQOakkH6GklasydTdm3euuW9qfU0389/3Cnk4SvmNJ/ktz5IhR0hFvJghJMUYElPMxALsUdwAxGhBF2YTTD4yTGJ4et/hqePp+oeO+hDiJz/0OGXMKUkqjnFERYtKFmegdpaubVEoohcRs1aWppZY+4fx8LnM2A8Ati7jEq0NKAmKzFnhQ+TN1RqnNZ3KUNdQ18znK5rKgmtQyeP3PaEElQkZIIuL8WH4msugN6VjQrJ1lrprGdVEjKOw597/iJ+k7ju9wzr+rgzTVQadBfsAocce/OQOXSGFZXdg0Cmjxcm7aWjqimGySPpWFOC4ssePfCxdpk4GnwI5B3a7LW/ja95evCVFTVSOlMWZYbvZs+k9uzExTZkpDEw+0rUWC5icqZV6BERPQgqFTSiY7kGTeMCaY4oorYQSPQwM48DsZ6wvHfok2NW9Rx7UtSTbVnVDiIUVrLRoapxBRXHel/DuB9fl4baiDykIBh880zhCFiq0MTI+7NrFMajzONpV6khAMdZi7fu3OprnCV1syEhiuqpzFFPXtqWqHLP3xOiFhBPFjsw4w4mzfPzRMypncNZIFEpMJOWIMTOOnpDEd3SORmjrGl6vM1/dRsIciKOnyjNWgTE1zipqJ+zTQzxMRmJnIIvUpIzJUxaMuaqEVTynVCYRGesUrnpkDAq+TpH6/VYqlvh5HolJPo9jyOx95m6IDHMmKUdGKLZzkkfUlilkrrcjt7uRu/2ET5CVUNaPVPIH/9Y/PMTL/+h3v831efu0XIjgTI1VFWkdqIKh+m7Ddrfnqxcvxeo+gzNG8ICimj/Yi6iCCcqcuLjtoqmrBle3WCe5O7udiICvlQQ2amXQfuby/IT/4d/891xd3/Dyf/8/2W23bHb7sm/VuKamW7Q8/+gZzgoL69VXL5imkc1ug6lhszlBuYy1YAKPwZE4xmboQ8eRMiolVFZYbTDKHCn71jpcEWvWucIqR1c3OCMRCCGEwlCLGGM4PztjP2zZbzZEMzEFAwjmVKti35UlhiDFKPqlbFHtinnwvLp5w/bur3D1kmr1nLkYHAfv8cEfwXyFZ1ErvnxS8/RsxZOzE56ddLTua1+u/8VrnqcjSWEcR2KMGNOjtabtGrmhzpM4cxTboQPBBmREl7NEtFzf3DDNnj/7sz9juVry9NlT3r55yzAMVJWjri3L5bII0mEYhqIzk+eRT7qYUi/aBctuQe3cUZriXMVi2fHkUrNYLDg/PeOu/JuC6wZurm+4W9+xWCxwj5Co+/c//TFNXXFxfirRtWFmmgJoxcnJRzx99oQ//1f/Nev1nru7nnGYmELg9c0WbMV2c8f52YpmUaOUA6V4+vxTjILkB3EX15qcPOM0U5uZ+suRv/nZLHKcWBFKGGxXWy7Pl/zR55/wiy9eMEyieQoh8vbtldxLdBnz5sw8jiijqOsGZTTzpuimcsIYTdt884GaX5tm/l/yYw/HbUeTzBjF6DRFUtIkNFNIjD7gQyKk+5FJRpUMo8CuF4rrZj8wzIGQ7rGtfKCNC6p6RMTuge8Hx5QfrzgBnFXtMX7dKItC4XKUSIeuJsYgZp2Vw1hHZQ3+gY/YIZGU8ipzGRQrhAGmtbgitG1T6L1aIhFGL+GTIEQKH/AxFafjkqsTQjmXCpsM4jhtxWnhkNEVE5u7DZBYvVpw8eSE88tTdIllepR1KNSI6a6MkTWVrjHa4qzkCVljJbIcRWgCBkvlKmxx5g4HoWdKMkNF4rQdlsbUKCNjT43CJhlD55wFhBafI1RWVEaRTSbZzDB6+rknTmt8SOz2w9EwWRfcT+VIiApzO5KzJSVDpTW+fv8jqYfroR/mIWBQuiNh7x2EyUfLoZSPf3bWEgrRZJ4mcsp0bXcUk+viYK4psRiVw8/C6HtH3yx0XKrKsVosqIswWCuN0Ya6quR4zIwr4YRehSNumoKYUk/DgNfvH4P6+5/8jKapuLs4Eycd5JrT2oCzjD6w7CQ3xxnNPDXih6jh4uyErrE4nSCOqOxRymBNxugS0mpEZkKU+6nVCaszVoE1mnQYe5KL2fOBkavu2a1kxmHkfoMhj5giwQfGcRLqeYooIpmEaWp0+ubvo19/C/ENNVAxivbBB09WclH7rPFZse1n1vuJwQdCykUYKiO9fvIoPZBevWWcJl68uWEOiaC0KM8P5Ix8AMQPBIl8nOHfj8YeH536tD0Tj73ZS5HwARsGbBpYnJ6IXx6wWC44PTujcZZpGLBGo3KWtkr67AP1BIU4bBgrGgZjNOcXZ3RdByS2uy2//FWPyQqHIvvAuJ/48stX3G3uGMaREA+jnSTPmQNWJVqnpaCGQI4JP3l++fItbVPTX2/5N//6X/GDH/4RTSNO6u9/6SIiz1g0lTLUtsIaS+sWWC1Bb4euoKqE0FBlh8LgTENbVzitiMWxOacgnnmzhzlSJcOJXRJpSueTSxyMuKS4ABTmnZBPoFo4us7x5nZi3weub66JWZEP4XxaFzNOIBt2c2S9Hbi69Zx2W/ph5nT5/iPfD+dJa30sUIeuvR/29+OqBz9/iHJPKZJjonaO1XLJ7c0t+xC4W6/JKXN5fsH2bsNt0e+prCAltJJEWT96eoYjSYJD0YuRZdvy/OkTlnVHW7c0taOtK1bLBSl6hn2i0obGOgJTcRO5HxtO/fjezyXAv/1f/zea2vHk4oTVsmW5qAu5w3Lx1VcsVkuePXvKRbdE6xXGVVjnePrkGZW1NFYxT3vm/ppMErJY2BOVJvpJ5h3KkFNijgE/TeTgaZ3F5ow3ChfvUEpMFHKK7Iee2XsyYDQYnbjZ3hQcSgT/1jkxadCKqzdXLNqKVkdx3DeRZXuK+xZIJ4+Q2CXrsMM67sZQ+JQZQ2I/zuzHB8m3h98oxThOpCi+fD5EppDLhW7vrWTywRfqQSeVy3DyoRj4HbHe4xSrAzV5DoFpnpmmqYQzRm6ur7i62bC+virjYENsavw0kWI6Hrs0TYfXfv/cqpAYqspJ1kwMrFZLck50TYsfZ+aiFt8PI9Pf/GemaWIYZ0IQMe4BmI4+sd8NfPWrl+W9S0zjiLWa73z+Cavlku985xM++uxjlmenuEpc1d/30smJ27PS1MZSG0tjK4wyos1KmujT0b7FZ8k0ClMU4FrJeYrBU6KZCQXn2O92jMNAilE6WG0IOchmKIEuOCHaCBlDSU8fs8LPmcHL53tM4nCRUGT1oPM9vnGCkYVU0ftE2nt+9fqWq/X73/EfipMx5liYjlhnVqSYCX6+l5iVWAtTBPzOORZtx9nJCW9evWIcJ968ekXbNJwsl6wWHV3TkOJMmCP9nmPEjtEapzXaCpllDkGIOyEV9/hMDpGoPfvdlrbrOD094fr6La9evmS72TANo4SbPjCTJUsm0mNsUBWaGGG3H4kpMvpJRO1ac7vfo7VF/+efF9IIElFSVzx98pS2qlh1NWQPeOqmxtUVkQZnDYaMbVoZ6ZtE8gFiQKdAx4yuPKYO5DlTGUVdiQh7nmeC96QYcC7TtoonFxWQJE7D6kLJr6hcTWVnKqNYtrZ8z1GXTcY3vR6pQKnjiC/EJIBo8fk7FKh+nO/pwAX5UkoxTDPTJMPClGHOByKAfvDsZeClVAFZD+7lHPvV+wIFj4lB+ZTlgxoC4zwxjAMxi07h5vot11d3rG+uJSPHOmLoiAfB5EHkpe4LibzEe6RQVPVVoSsH2rY9Fqjt5Bm8Zxwnckq8fPOmAMnlQlai5yFD8JEYBobdQM4y+losOtqu4fPPP+Xi4pzvff+7fPTpxyzOTjD6cU6pyRaNotKW2la0rqI2MgLKcyYnucEppYRpWLwwwxQwJpNMJAVxzZfuMRO8F6xtcyc4TAjoEjqosj6SKlQZM5EFw8pG3hcPEqfhZ4aYmVImGdGewcM9hXzgVbZkNFlZBj8L020esI9gvgty3R0AdLgfz8t1LHEhFCr3QWCsnYIMzloWXcf56Slh9mzv7njz6hUXFxd89/PPWXZSoHbbiRA8Q4rkpmbZdVitsEYd491TSiUhuwCyMZHwRBT73Zaz83NOTk/w3vP61Sv2my3zOFGXtF5n7ZGsobL/VuIhftcyWuQx+2Fijp5+1lgrG+lxGhmHyO3thFIyXlssW5qm4tnlBYu24fJ0RVVpqkpzenZC27WEaGkqR9tYmq6j6Vra2hFDJgWPDp4mT3RVoKs9k05oragqi9bi7B6CJ6eIs5muUXRVjTGZqhIJhlJgbUNla2o7UznNohUXe3l/vp0L/lspUP/YYQoidCSCg5IxR0YxhpnNfmacPXMooXCoYweVkQh3XYpPQhVXb3W4T5dpl+y4jozfexpXwbEP7L17geBjrcFDCDDMmSko5mwxtqGuMifNBCcdf/zRJT4ndjevuXoVGKdZzC7LBZYK+/HYaGp7xPuMtTRNw2azIa5vReyrFN1iwTzPjONYxnHiGScWMpMwsoZRMAYyGl0602Kxn2F1suLp00v+p//5f+Ts9ITlyZKmaQqm8jjnc6FPsMbQ1A22hKzF4vAQD+O4YmCvAB3lQCfv0V6wt36/Yxp6rLMyAtnesV6vefXyBQf9XlN3WG2p7cGbwOKsw1pHDHIT9CoRvGfY7bmbI9f7iT4kfD50TO8WnPsCIEzJlA5XiaOPFBPa97vmeUZrLcLZBxs7rRTWaGLM5EOAY9kIJp3LyCkwTxMnywUniwV/+9d/zX6z4erNa0iRT54/o20qnj29xI97GVGlTJxntusN0Qeaqj7iJK6zhBDZjwPzfs/1q9dcnp6j20yYxQXh9uaKfrclhsDp2SnWGLpCiKjrWvCuw+t572cTnjxbCR07h5LKrI6kBWM0yiRCisxzJPjIzVpGkT//2WuMUdS1jOyNVceYk9OTU+rKsWxruraha2sWixatDC9vRja7iTev72idoqmQv1tXDNsziA3GtGQiWkfaGkzWNM2SqpKYD6UsWhtq1+JszfnpZcFvxS0mZVWi5r/58/WN0szv3Zrvb/kPd4cyihJ3ZqW4p4Aq8TTzMTHOnlC0N1JdDlyHg9uTwHI6K5I8SaEH/KYYVz14HDqofChKpUjdF6/HKVIhK3kkGQUltKSVWkdTOVJbc3m2YtOP7IYJP/bM4yQt/bH43mNqOQtQqrQq0Rv34xnvfbGakeweVfCPpm2p65rLywsOmT+yY9b0wyC4Qzz8G+pIRmnbhpPTFZ98/JzVyQrn7BF7eKSJKZUqRAjTlI0MpCwFMx5szR+MdnT5fYziPKHJxOAJwYvJaIpM48jQ92x3W1xVUdUVGIWyBlMIKcZUOFvhbI0PkZASPnlSyowhM/jIMAd80u+Ywhyl7zIiOB5XPlD6gVSuj8f4jB7GefAPYbdHYFeuzyTHnaLgVUPfc356xmqx5GS1pGsbyb7qe+Z5wlnL6ckJb51jLMJ9VcgMRmtMVYnlUxFVH1mVQJxniU0vx3n4fM/zLFigddRNQ9s2cj3VtdDLjcTRfNOM5N9ntZ2TDV7pusmKEA4hi6U7ReQN3gv7McZECLNs6nUqhAYltHytWbRXVM6yaBu6pqJtapZdizGW/ZyY5sB+0xOdxjtD3TbkJAm9IUhXSU4YlamcQmPoOivuJ8sFWjmUdjRVg7MVXSM+pzKtEb/Uoj75xtc/oYP67YfxsDj9xvcePCwlI8oYSeC0johonjbDzO12i48eRRKfPoVUaChuE9IdFRLr8fmh3HcUvIMtlbiCQ+d0T+R72Dk9Xgd1KLpKG5SRqIaqqkRbpA1np4GLi3P6YWA/DNytt4zTxGZzSQgBP3tiKtb401wsZwTfSFlROYUi8ez5M1CafpyY55n9+o5x6Ak58fn3v8ezp0/46PlTUkrsdlvm2TPPnp/97Ofc3t7x9s2VjBVVQhuFs45PP/2Izz//FEXETwPzkEtgojqmKb/vtaiW8huviEo+JyGUILci7ZDRscwtDlMzlSVHZ7WscM6QcmCcxBvu6uaG69tbbjYbzs5OaVYLVGXEVd5IknBdNzhX4VyF8RkfEnd3kc0Q+NXrNbvBs5+iyCBQYhQK9+PZ4nRwxP1UBhWJqtB4lZUu9j2vWCIpDh0UHJijkIKCwgQ9YDuJDFHiR66vrvgP/8+P+Df/+l/zZ//8X/Df/sVf8uTykv/wox+x32x4+eVXfPzxx3z/8++yX68xpV+0Tujmh25n0S2wzorfXwhM00BlHbWtOF2d4lxF9DNDv+dufcu+3zMHTz8OYrukZUTZjyN1XVHV9aNd8U0t72fw0iXNU2Q/THgfmObI7COaSFNBYy0pl5Ti0AqZKnhG7xmDJ0fpxPphFtyyxA9pJWNRwfDUsdvdaIM2luWqY7lcMM8BV0X8kLDAqjU0T5ekZFA2ybi2clhTYUyNrSxGg2dHDorkNSlKgVJWvbPB+qbW1+ugfk3U+us3oN9VpLQW407JKIrMPgjWhNgajbNn9uFITz38zaykOB3//GvP+/DXwy7kgMU8qEgPD70Uq9JJ/f6n4BtfwrqRc2K0fJBwlqTB6UyKlsoZKmdoakttDfM8c7JopUB5f3SZnsaJECPjLOmac0hgLCoFFA25RJqIE7W4lOd0P9LbbLaQM9MsxqcKMUMVlwWEbYmIiJvGsehq2trhxwGVIlA6tqLcV49wG9DCTXpHTXAgRFD0TTzoAg+/M05RV4ZFJ2JJgGmehdGYhM3UdUuaphNtmZFcsqwRKr+WjUBKB0qzMDPHyTOMkdln2Wgd7PUP5rUPTGwP2Zn3P1L8BFWCLGLr973yO9fO/cYvI0zJA6arDtMIdX8thtlze33Dqxcv+eIXv6Df7yAlVoslVeVwxrDsOi7Pz/no+TM0mfX65p5uDkfXklzkDzmlEnmuj+4fKmf87Nnvdrx8+ZL1+lbCOOeZ0U+oQYq/0go3uaO04DGWNYV7o8Eo8eI0OpO0MOhk844YBGdFLKc4pFhcSgpOqe5hilwYypni+FEgj6iixL0bjbJihWa0hGparRBzhAg5YnWmdmCVky5OxZJuTvlAhvJWixSIrIhRk5IUKI35Vjak/wSa+de7nR9gYK3BafF5s2j6UdpwAVhhjnC36xknL+MM9dvHdr/78N5l5z0kQ/xafSUfxoePuCxSoJIRKx6LBV2Ts0MlsTWSMctCfo0HbzQhNqQo349JOqgYY3EwD+z3A69v97y+7fHUBJUJPjNPgX6/l91vzrz86iW3Vzd8YewxKt5VDlc5cgxU1mBN2STkzOmy4fLilIuTBcvasrl5g3NOughrRQCpzKNEagPHixXEJcIagzISHCjFyRDLyE+CTmBRa7qu4vmzFcvFAq1gu92y2e6JKJpuyWcn5zTO0Vh3THY+4kZkYpjwcy/j6pDZ3O24uxvYbCJJKbK2ZaMlziAcx3pyQxE+zyGKUqpU0pGkAjnaR+zzf/O6IkuciTocb4ajZ4MSjfY8jrz48iumfc/f/c3fUDnJi/re59+hrmuWywWffPSM737nU1TyXF1d8X/9u3/HPE2k4gGYkrDRtNaM04hSGWc1tdK4uiEFzxwCu33PenPHFy+/oh9H9sPI3X5H3++5223JOQttGu6h50dYlRFoQiUNNqGSAgzegbXgPSiMbFaSYk4QYqKfPCEFfPZkVfRLCKvzOALVxXHyMBVAYm+cNTRNTV1V1HXFyXJB2zXk5MlxwiSHMZG6Bt0uyLRM80zKkUAgp5mUJmIyoDW2ashJSQTSYbOnxcvzm15fr4N60Nn8/vcemeuL/kDYaT5n9iPMXjPNIu5LGYbJFy89SlTHrxEY/pF/9NcL0vFrR/re4ed+7WdS+lZa0993OeXFnkcnsoNsFDmJYSxR7EVkpxJJURGTIqeENw9zs+ThG2H3+WbG+8CyqUXc6yqu9pF+HvFhxGXPwhnIGkXCRE+aEkFrktbgDdEZvDVkP+PwPD3rUIAzlrPTJacnSxqj0ClIqq7RWCIWVcgJ6lEKlDNH+s0xruLgXVa8HohJF1GyYJlGQddVdI2jtg5CZNz2DJst036gsxU4Td20WGR8eQBHj5hBTAX8hpgS85zY7XuGYeJArEBplCojscM4r4xE4dD5y/MarXClk85KEweEjPCe1zt2YO9+Aw3iQ2hFYK6UEpGz0TR1TQEAZbzW96i2RSFjujEl5nkqse8rlosl1hguLy6OIYa+CPlVwaGskU7eGhljpZgY/ECIkTdX1/iciEZj65q2a6nqisl7xnEsmBNwuBfJi3hfp/G4mmpBTglnPI2LxEbGdjFGQoj4EOjbkRQzMcG2n5lmxAQ2gin5TjkhujEoLGYxiZZ4IRlha6VoKkdVWZbLmqapaJqaZdfQ1I5Kz+iUiXMsRWgu2U4KQ43VUBvICAkrhCSyAvSxk0plAuW0w9hH1kEd3IXLWTl+cB9eYMfvPtDlKA4xGiXuPWf2KR5vHAeyRMq5YEv3JeUBB+B3Htuv//ru4zebvyMd+2t2hd/kcghLzpgDQ0tC7HLW5OJcHk2SWa/RUqxy4tc/C0pJgGBKSTy3QmRqR5wTAaP/6orsR8Y0AgHqMu4iiVFvCAWWV3gF0Si0AWu1aB7OOpy1tHXDctGxXLY0BnQKmByxWeNUwpaHK4XhfS972MUVarQprhdaKyotG6GQQIeECgmdxSy2bSu5aI0l+8g47xk2e+ZxpLMiluy6JYRIKuc550SgeBWGyKF9kNTpwG4/MIz+iC8dwj1lDPagQJWvpfRw4qBoaklNRkf2YyR8C2acv2v9tmtbvi47dGPEH1Ibg9H3AXer1Uqw4hAZ+55h6KmtxWglmpssOrq3qxWLruNP/viPOV2tuLi4OAYkhlBGekrJcxcXBGcUGtmoDcPIOM28efsWnxLZGi6fP2N5eoKra8w0EQfxU3x47PA4yHPjFoVx6zkos0MI5Cxj+hA9w2jERSdmMhLFE5IlRIUOpTAl2QgqFFGVFAOLbJqSnC+tDG1dU9eWk9OGtq3pupqutlRWS4HKnjCNgtHmTNaShmyt6JpqZ0kkUo7sJzG2DtmQlRC6itEaWju0/uZJ4V/fiy8fpp7/OOb0zt8pOFDO8Tj7T9rIzvDYkh5o0oWEfqDiHungX+cYf3txypljvtEfgosEHKx4IBtzX4hLNHkEstaYlMjFHDamWEIBxcX8nRuIldebXEk97RpRpnvPR88vGWfPbj8QQmSeReeTyxgl53Rk6ukyQtDFWFNrhbNWknydo6rk0TYNzjm6rsM6YUwZa46xB4/RQZ2uumLyKgJcYfJlVMrkIMVCK0NlNdZaESTnyDjuycFivdwUc4zoOdJica5CKY0eZWerYsIcJBDKCGuwbspFCy/evuZ6s2O9HRjmjHYW0FDsfIB38tAOb7zWgo0qEl1X891PLiBM5DDxq37D3j8Od/+3dVE5C44SycwpURVBZ93WYta6WAgeqRRptZRO3MjY92A4O40jL778ku36Dj+OLBcLovfSmSlNU1XYosnzxalfKaHfzwTImtkHQow0TY1NkZBh2Ir+ab/Z4KeDl+DhwO+JVY+BQ509eSbXnD8UqEMsTLF+Sx4/7whJDGNPzxtm7+nHwOwz/SQ6vhRSwX1lU6+1wrpimKtMceqXja51hsWyom4sdQ2V9RidpeNCJgpg5KGkJBzOVwxZxvXa4ZxG64Q2WqQbwR/PYQ6H1/PNrn8Si++3lYyD4+0/9HcOfw8o1HC5YO87MfXgJ9WDzuafgkQ9PK57rOnY5P9WuuzjrIPjxYF2T85QYpdzodYfhLNH9lTRIpVngAdEEOkKixDaWqyzNKmiaaqi8amPo4TjjL94wcVw/wEzpTAdNSjOybjMmCLOEx87Ywx1Vf5cipMpZrL6Eawk6pIxFEPBk4/vsRT3Az2XQuQQm71cfMYyPmtyjKSCVxgUlZbNQyrAlUpZqolS6CyjO4wllW5o8oF+mOTmme7He3DfLQHHu8BDwFsJ3xxnDcuuIc+Q5ywd6SNs+R8Wp98oUuVxyHBTWqGtEZ9D57BaS1yDMaiD0W3OzIUenmKk3+/x08zd7S0phOMGUitF1odNRKG6lws5wdGFRhzSM9ZospKRffC+WIf5otG6L0aHicxjFai6aYv/qIWD4EDJvSmTSXHG2USIEzFplI34YKjqwOzBDkU07yMkX0bMMt6zVmIxrDaF8anwQaYgda2pKoWrJOZD63R89QeZjlLm/ivlmymVQpbFQR5T+AHqnld+NET4FsSP6g/hJv1hfVgf1of1YX1Yv74ey2/6w/qwPqwP68P6sP7R9aFAfVgf1of1YX1Yf5DrQ4H6sD6sD+vD+rD+INeHAvVhfVgf1of1Yf1Brg8F6sP6sD6sD+vD+oNcHwrUh/VhfVgf1of1B7n+fyRQo0+afYxjAAAAAElFTkSuQmCC\n",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"20:1: E122 continuation line missing indentation or outdented\n"
]
}
],
"source": [
"class_dict = {0: 'airplane',\n",
" 1: 'automobile',\n",
" 2: 'bird',\n",
" 3: 'cat',\n",
" 4: 'deer',\n",
" 5: 'dog',\n",
" 6: 'frog',\n",
" 7: 'horse',\n",
" 8: 'ship',\n",
" 9: 'truck'}\n",
"\n",
"# We normalized each channel during training; here \n",
"# we are reverting the normalization so that we \n",
"# can plot them as images\n",
"# unnormalizer = UnNormalize((0.5, 0.5, 0.5), (0.5, 0.5, 0.5))\n",
"\n",
"show_examples(\n",
" model=lightning_model,\n",
" data_loader=test_dataloader,\n",
"# unnormalizer=unnormalizer,\n",
" class_dict=class_dict)"
]
},
{
"cell_type": "code",
"execution_count": 27,
"id": "d0155a81",
"metadata": {},
"outputs": [],
"source": [
"from torchmetrics import ConfusionMatrix\n",
"\n",
"\n",
"cmat = ConfusionMatrix(num_classes=len(class_dict))\n",
"\n",
"for x, y in test_dataloader:\n",
" with torch.no_grad(): # since we don't need to backprop\n",
" pred = lightning_model(x)\n",
" cmat(pred, y)\n",
"\n",
"cmat_tensor = cmat.compute()"
]
},
{
"cell_type": "code",
"execution_count": 28,
"id": "8c55e82e",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"from helper_plotting import plot_confusion_matrix\n",
"\n",
"\n",
"plot_confusion_matrix(\n",
" cmat_tensor.numpy(),\n",
" class_names=class_dict.values())\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"id": "84b3b121",
"metadata": {},
"source": [
"## Single-image usage"
]
},
{
"cell_type": "code",
"execution_count": 29,
"id": "c3fbb1ae",
"metadata": {},
"outputs": [],
"source": [
"%matplotlib inline"
]
},
{
"cell_type": "code",
"execution_count": 30,
"id": "49fc0838",
"metadata": {},
"outputs": [],
"source": [
"import matplotlib.pyplot as plt"
]
},
{
"cell_type": "markdown",
"id": "a2a9a626",
"metadata": {},
"source": [
"- Assume we have a single image as shown below:"
]
},
{
"cell_type": "code",
"execution_count": 31,
"id": "d5e1a331",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"from PIL import Image\n",
"\n",
"\n",
"image = Image.open('data/cifar10_pngs/90_airplane.png')\n",
"plt.imshow(image, cmap='Greys')\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"id": "a9804a8c",
"metadata": {},
"source": [
"- Note that we have to use the same image transformation that we used earlier in the `DataModule`. \n",
"- While we didn't apply any image augmentation, we could use the `to_tensor` function from the torchvision library; however, as a general template that provides flexibility for more complex transformation chains, let's use the `Compose` class for this:"
]
},
{
"cell_type": "code",
"execution_count": 32,
"id": "c1d0b315",
"metadata": {},
"outputs": [],
"source": [
"transform = data_module.train_transform\n",
"\n",
"image_chw = transform(image)"
]
},
{
"cell_type": "markdown",
"id": "ad19d939",
"metadata": {},
"source": [
"- Note that `ToTensor` returns the image in the CHW format. CHW refers to the dimensions and stands for channel, height, and width."
]
},
{
"cell_type": "code",
"execution_count": 33,
"id": "3799087e",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"torch.Size([3, 32, 32])\n"
]
}
],
"source": [
"print(image_chw.shape)"
]
},
{
"cell_type": "markdown",
"id": "df5cdcd6",
"metadata": {},
"source": [
"- However, the PyTorch / PyTorch Lightning model expectes images in NCHW format, where N stands for the number of images (e.g., in a batch).\n",
"- We can add the additional channel dimension via `unsqueeze` as shown below:"
]
},
{
"cell_type": "code",
"execution_count": 34,
"id": "59be99f2",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"torch.Size([1, 3, 32, 32])\n"
]
}
],
"source": [
"image_nchw = image_chw.unsqueeze(0)\n",
"print(image_nchw.shape)"
]
},
{
"cell_type": "markdown",
"id": "15b55256",
"metadata": {},
"source": [
"- Now that we have the image in the right format, we can feed it to our classifier:"
]
},
{
"cell_type": "code",
"execution_count": 35,
"id": "54262d1f",
"metadata": {},
"outputs": [],
"source": [
"with torch.no_grad(): # since we don't need to backprop\n",
" logits = lightning_model(image_nchw)\n",
" probas = torch.softmax(logits, axis=1)\n",
" predicted_label = torch.argmax(probas)"
]
},
{
"cell_type": "code",
"execution_count": 36,
"id": "406a04d1",
"metadata": {},
"outputs": [],
"source": [
"int_to_str = {\n",
" 0: 'airplane',\n",
" 1: 'automobile',\n",
" 2: 'bird',\n",
" 3: 'cat',\n",
" 4: 'deer',\n",
" 5: 'dog',\n",
" 6: 'frog',\n",
" 7: 'horse',\n",
" 8: 'ship',\n",
" 9: 'truck'}"
]
},
{
"cell_type": "code",
"execution_count": 37,
"id": "9dd4af30",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Predicted label: airplane\n",
"Class-membership probability 100.00%\n"
]
}
],
"source": [
"print(f'Predicted label: {int_to_str[predicted_label.item()]}')\n",
"print(f'Class-membership probability {probas[0][predicted_label]*100:.2f}%')"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
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