diff --git a/README.md b/README.md
index 27257ab..29d057d 100644
--- a/README.md
+++ b/README.md
@@ -1,5 +1,7 @@
-
+
+
+
# Deep survival analysis made easy
@@ -55,13 +57,11 @@ cindex.p_value(method="noether", alternative="two_sided")
cindex.compare(cindexB)
```
-
## Installation and dependencies
-
First, install the package using either [PyPI]([https://pypi.org/](https://pypi.org/project/torchsurv/)) or [Conda]([https://anaconda.org/anaconda/conda](https://anaconda.org/conda-forge/torchsurv))
-- Using conda (`recommended`)
+- Using conda (**recommended**)
```bash
conda install conda-forge::torchsurv
```
diff --git a/docs/notebooks/introduction.ipynb b/docs/notebooks/introduction.ipynb
index a1ab3bc..bdfb74d 100644
--- a/docs/notebooks/introduction.ipynb
+++ b/docs/notebooks/introduction.ipynb
@@ -14,7 +14,7 @@
"\n",
"### Dependencies\n",
"\n",
- "To run this notebooks, dependencies must be installed. the recommanded method is to use our developpment conda environment (`preffered`). Instruction can be found [here](https://opensource.nibr.com/torchsurv/devnotes.html#set-up-a-development-environment-via-conda) to install all optional dependancies. The other method is to install only required packages using the command line below:"
+ "To run this notebook, dependencies must be installed. the recommended method is to use our developpment conda environment (**preffered**). Instruction can be found [here](https://opensource.nibr.com/torchsurv/devnotes.html#set-up-a-development-environment-via-conda) to install all optional dependancies. The other method is to install only required packages using the command line below:"
]
},
{
@@ -74,11 +74,26 @@
"execution_count": 4,
"id": "d7a98ea2-100f-43ef-8c45-c786ddcd313e",
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "CUDA-enabled GPU/TPU is available.\n"
+ ]
+ }
+ ],
"source": [
"# Constant parameters accross models\n",
+ "# Detect available accelerator; Downgrade batch size if only CPU available\n",
+ "if any([torch.cuda.is_available(), torch.backends.mps.is_available()]):\n",
+ " print(\"CUDA-enabled GPU/TPU is available.\")\n",
+ " BATCH_SIZE = 128 # batch size for training\n",
+ "else:\n",
+ " print(\"No CUDA-enabled GPU found, using CPU.\")\n",
+ " BATCH_SIZE = 32 # batch size for training\n",
+ "\n",
"EPOCHS = 100\n",
- "BATCH_SIZE = 32\n",
"LEARNING_RATE = 1e-2"
]
},
@@ -458,10 +473,10 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "x (shape) = torch.Size([32, 9])\n",
+ "x (shape) = torch.Size([128, 9])\n",
"num_features = 9\n",
- "event = torch.Size([32])\n",
- "time = torch.Size([32])\n"
+ "event = torch.Size([128])\n",
+ "time = torch.Size([128])\n"
]
}
],
@@ -537,16 +552,16 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "Epoch: 000, Training loss: 31.94\n",
- "Epoch: 010, Training loss: 30.21\n",
- "Epoch: 020, Training loss: 30.28\n",
- "Epoch: 030, Training loss: 29.59\n",
- "Epoch: 040, Training loss: 30.68\n",
- "Epoch: 050, Training loss: 29.72\n",
- "Epoch: 060, Training loss: 29.01\n",
- "Epoch: 070, Training loss: 28.84\n",
- "Epoch: 080, Training loss: 28.95\n",
- "Epoch: 090, Training loss: 29.45\n"
+ "Epoch: 000, Training loss: 12.75\n",
+ "Epoch: 010, Training loss: 12.02\n",
+ "Epoch: 020, Training loss: 11.79\n",
+ "Epoch: 030, Training loss: 11.84\n",
+ "Epoch: 040, Training loss: 11.61\n",
+ "Epoch: 050, Training loss: 11.61\n",
+ "Epoch: 060, Training loss: 11.46\n",
+ "Epoch: 070, Training loss: 11.57\n",
+ "Epoch: 080, Training loss: 11.56\n",
+ "Epoch: 090, Training loss: 11.20\n"
]
}
],
@@ -601,7 +616,7 @@
"outputs": [
{
"data": {
- "image/png": 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",
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69STQCIIgOooyghaZyGrRrBY2ND22a5SkUIqTCBluueUWLF++HO3trPPmk08+wa9+9StotVo0NzdjwYIFGDRoEBISEhATE4Njx46hsLDQo30fPXoUw4cPR1RUlHTfhAkTHLZ76623MGbMGKSmpiImJgbvvPOOx6+hfK0JEyZAUEQOL774YjQ1NaG4uFi6b9iwYTbP69GjByorK716LYIgCEIF3iQQkQBoNEBUMrvdhdKcFEG7ENBHsUhWsF7bQ2bPng2LxYJvvvkGY8eOxebNm/Hqq68CAH77299izZo1ePnll5Gfn4/IyEhcf/31MBgMHu3barW63eazzz7DE088gVdeeQUTJkxAbGws/v73v2PHjh0e/w78tQS7tC5/feX9er1tmF0QBIcaPIIgCMIHlBE0gKU5m893qU5OEmgXAoLgUZox2ERGRuLaa6/FJ598glOnTqFfv34YPXo0AGDz5s248847cc011wAAmpqacPbsWY/3PWjQIHz00UdobW1FZGQkAGD79u0222zevBkTJ07Eww8/LN13+vRpm23CwsJgNpvdvtby5ctthNq2bdsQGxuLrKwsj9dMEARB+IgUQeMCTbRB6kICjVKcREhxyy234JtvvsH777+PW2+9Vbo/Pz8fK1aswP79+/Hzzz9j7ty5XkWb5s6dC41Gg3vuuQdHjhzB6tWr8fLLL9tsk5+fj927d2PNmjU4ceIEnnnmGezatctmm169euHAgQM4fvw4qqqqYDQaHV7r4YcfRlFREX7961/j2LFj+OKLL/Dss89i/vz5Uv0ZQRAEEUCkOZwJ7LILdnLS0YIIKaZMmYKkpCQcP34cc+fOle5ftGgREhMTMXHiRMyePRszZszAqFGjPN5vTEwMvvrqKxw5cgQjR47E73//e/ztb3+z2ebBBx/Etddei5tuugnjx49HdXW1TTQNAO677z70799fqlPbunWrw2tlZWVh9erV2LlzJ4YPH44HH3wQ99xzD/7whz94+W4QBEEQPiGlOBPYZRcUaILVk+IcIqRoaGhAfHw86uvrERcXZ/NYW1sbCgoKkJeXh4iIiCCtkAgE9LclCILwkA/mAAU/Ate+Awy7Efjx78DGF4GRtwFXLwnaslwdv+2hCBpBEARBEN0LhyYBsQatpTo46/EBEmgEQRAEQXjPj38HPrsDMJvcb9vZdIMUJwk0giAIgiC8o7ka+OEvwJFVQNnPwV6NIw5dnCTQCIIgCILo7hz/hjnzA6E3hNxqdZ7iJJsNwlO+/vpr9O/fH3379sW7777rt/1S70f3g/6mBEGEDEe/kq+HWl2XoUkWj/Y2G4YmwNgalGV5Cwm0IGIymTB//nxs2LABe/fuxd/+9jfU1NR0aJ/cnb6lJUjD0YmAwf+m9hMICIIgOpW2euDMD/LtUItK8eiZNgzQiR3v4bHsNhB663UCTRIIIjt37sTgwYMld/krrrgCa9aswc033+zzPrVaLRISEqSZjlFRUQ5jh4iuhdVqRUtLCyorK5GQkACtVhvsJREEcSFz4nvArBizF2oRtNY6dhkRzybpAOwyOhVoKGF1aAk5QVuep4S8QNu0aRP+/ve/Y8+ePSgrK8PKlSvxy1/+0u/PCdTa3njjDfz9739HWVkZBg8ejMWLF2PSpEkAgNLSUpvRP9nZ2SgpKenwujIyMgCABm93MxISEqS/LUEQRNA4+iW7DIthKcNQq0Gzrz/jRKeIAi3E1uuEkBdozc3NGD58OO666y5cd911AXnO1q1bMW7cOIfU0bFjx1weFN29zrJlyzBv3jy88cYbuPjii/Gvf/0Ls2bNwpEjR9CzZ0/VmiJ/RLsEQUCPHj2QlpamOoqI6Hro9XqKnBEEEXwMLcCpdez60BuAPf9mHZ2hhL3FBqeLdXKGvECbNWsWZs2aFbDnWCwWPPLII+jbty8+/fRT6SB44sQJTJ48GU888QQWLFjg0+u8+uqruOeee3DvvfcCABYvXow1a9bgzTffxMKFC5GVlWUTMSsuLsb48eM9/TXdotVq6aBOEARB+I/T6wFjC5DQE+gzhQm0UEtx2ltscLqYQLvgmwQ0Gg1Wr16Nffv24fbbb4fFYsHp06cxZcoUzJkzx6k4c4fBYMCePXswffp0m/unT5+Obdu2AQDGjRuHQ4cOoaSkBI2NjVi9ejVmzJjhdJ+vv/46Bg0ahLFjx/q0JoIgCILoELx7c+AchTt/iKUMnaU4o5LZZRcRaCEfQesMMjMzsWHDBlxyySWYO3cufvrpJ0ydOhVvvfWWz/usqqqC2WxGenq6zf3p6ekoLy8HAOh0OrzyyiuYPHkyLBYLFixYgOTkZKf7fOSRR/DII49Is7wIgiAIotMwGYDj37HrA2cDkUnseshF0ESBxi02ODyCFmrrdQIJNJGePXviww8/xKWXXorevXvjvffe81s9mBKr1Wpz35w5czBnzpwOvw5BEARBBJSCTUB7PRCTDmSPA1pr2f1t9YDZCGhDxAJI2cWphFKcXZOKigrcf//9mD17NlpaWvDEE090aH8pKSnQarVStIxTWVnpEFUjCIIgiJCHd28OuArQaFiEShBlREvHPDz9itMuThJoXY6qqipMnToVAwcOxIoVK7BhwwZ89tlnePLJJ33eZ1hYGEaPHo21a9fa3L927VpMnDixo0smCIIgiM7DYgaOfcOuD5zNLjVaIDKRXQ+lOjRXNhsA2Wz4i6amJpw6dUq6XVBQgP379yMpKQk9e/bEkiVLsHLlSqxfv97j5yixWCyYOXMmcnNzsWzZMuh0OgwcOBDr1q3D5MmTkZWV5TSa5u515s+fj9tuuw1jxozBhAkT8Pbbb6OwsBAPPvigv94egiAIggg8hT8xERaZCPT6hXx/VAqr6Qqlui6nNhtcoJ1n8zpD3MQ95AXa7t27MXnyZOn2/PnzAQB33HEHli5diqqqKpw+fdqr5yjRaDRYuHAhJk2ahLCwMOn+oUOHYt26dS6L9t29zk033YTq6mo8//zzKCsrw5AhQ7B69Wrk5uZ6+S4QBEEQRBAp2sEu+0y1rTWTOiNDKCrlzGYjShRoZgPQ3ghExHXqsrxFsNIE5i4H7+Ksr69HXFxof8AIgiCIbsB3/wdsfx24+HFg2vPy/ctuZdYbV7wMjLsveOtTsmgIUF8E3LsByB5t+9hfstj0g1/vBZL7dPrSvDl+Uw0aQRAEQRCu4SnMKLusEr8diilOe5sNoEvVoZFAIwiCIAjCNU4FWort48HGYgbaG9h1+xQn0KU6OUmgEQRBEAThGncRtFCJSPHoGQCEq6QQSaARBEEQBNFtcCbQQm3cExdo+ihAF+b4uJSSDZH1uoAEGkEQBEEQruFGtA4RtCTbx4ON1MGZoP64FEEjgUYQBEEQRFfG1A4YGtl1Lsg4USFWdO/MpJZDKU6CIAiCILoFPDomaIFwe28xRRdnKLh2kUAjCIIgCOKCQKo/S2IzOJXwGjSLUe6eDCauLDYAIJo3NYRI16kLSKARBEEQBOEcZw0CAKCPBPTRttsFk9Y6duksghalGPcU4pBAIwiCIAjCOZJAS1F/PCqEolKepjhbqgGLpXPW5CMk0AiCIAiCcI4yxalGdAhNE3A2KJ3DxaTVLHd8higk0AiCIAiCcI6rFKfy/lDwFnM2KJ2jC5MbHUKl89QJJNAIgiAIgnCOW4EWQuOe3KU4gdAz13UCCTSCIAiCIJzjaQQtFCJS3gi0EG8UIIFGEARBAAWbgOI9wV4FEYq4E2hSDVoITBPgXZzObDaA0DPXdQIJNIIgOsbGhcCqh0O+I4pwQWst8PF1wAezgbYQ8LIiQosuVYPmTYozBFKyLiCBRhCE71itwOaXgf2fAOePBXs1hK80VwFmA2BsBk6tDfZqiFBDmsPppIszlCJSlOIkCIIAYGgCLCZ2veZ0cNdC+I4yanb0q+Ctgwg9rFYvImhBjkiZ2gFTK7vuzGYD6DID00mgEQThO7zeAwCqSaB1WZQjek58Dxhbg7cWIrQwtgCmNnbdaQ1aiKQMefQMAhAe53y7KOriJAiiuyN9IYIiaF0ZpUAzNgOnNwZvLURowUWXNhwIi1bfhgu39gbAZOicdanBv4/C4xxnhiqJDqGuUxeQQCMIwneUTtwUQeu6tDfa3qY0J8FRpjcFQX2biARA0NhuHww8qT8DKMVJEMQFgDKCFioCraYA+P4ZoOpksFfSdeACLS6LXR5fDZiNwVsPETq4qz8DWLQqMsl2+2AgWWy4EWhKY90Q7j4ngUYQhO8oa9CayoH2pqAtBQDQWAF8OAfY9k9g6ZVMrBHu4U0Cfaawg1dbHXB2S1CXRIQI7jo4OaHgzi+NeUpwvV0XmcdJAo0gCN+x/3KrOROUZQAADM3Af24E6grZ7aYK4KNfAo3lwVtTV4HXoEUmAAOuZNcpzUkAnkXQlI93hRSnLkzeJoTTnCTQCILwHWWKEwheo4DZBHx+N1C2nx0o7voWSOwF1J4FPrqWGbESzuECLTwOGDiHXT/2dUinf4hOwluB1hzMFKcY7XMXQQMU3m2h64VGAo0gCN9RpjiB4NShWa3AtwuAE98Bugjg5k+B3InAbauAmHSg8jDwn5sAQ0vnr62rwGvQwuOAvEvYZVMFULwruOsigk9XiqA1VrDL2HT32/JGgRC22iCBRhCE70ht7WK6IBgpzm3/BHa/B0AArn0HyBnH7k/KA25byVIZRTtYhI1Qh9eghcey9E+/mez20S+DtyYiNPBUoIVCDVpjGbuM7eF+2+gQmn7gBBJoBEH4Dq9ByxrJLjs7gtZSA6x/nl2fuRAYNMf28fTBwNz/AYIWOPEtUF/cuevrKvAIWoRo7jlwNrs8+hWLUBIXLjxlGe0ughYCZrXeCLSo0PdCI4FGEITv8Aha1mh2WX2qc1+/4hAbNZWQC1z0kPo2PcfLHWj2KVmCIaU4Y9ll/lRAFwnUnQPKDwZvXUTw8boGLYiCp0EUaHGeRNAoxUkQRHeGC57MUeyypcqxcSCQVB5ll+lDXG8XFsMuDUG2AQlVlE0CAHOMz5/Krh/5IjhrIkIDj1OcQa5Bs5hZ3STgZYqTmgQIguiO8BRnfBYQncaud2aas+Iwu0wf5Ho7Hhmyd8wnGMomAc6gq9nl4ZWU5rxQ8WRQOifYTQLN55mvmaCRv4tcEUU1aARBdGck36EEILkPu96ZjQKVR9hl2kDX23HhoZw5STAsFscUJwD0n8W6YmtOA+UHgrM2Iri01TPRA8iTApyhrEELhKAv3s0scyqOqD/O68+i0wCtzv3+QmXAuwtIoBEE4RsmA2AUrSsi4oEkUaB1VgTNapVTnGmDXW9LETTnGJoAiAfUCEUELTwW6DuNXT+0otOXRYQAXLyExQD6CNfb8giaxRSYMod9HwOn1wP7P1F/3Jv6M4BSnARBdGOUX8IR8UByb3a9s8xq6wqZuNDo5eidM8LFGrRgj6IKRbho1ehYxEzJ4GvZ5eEVlObsTux8BzjigYWKp2OeACbgeK1nIKJS3IS27pz64950cAKKJoHQncdJAo0gCN/g9Wfh8YBGCyTns9udFUHj0bPU/oBW73pbiqA5R9kgIAi2j/WbAeijmBgu3dv5ayP8T/VpYPWTwMoHWGG9KzytP+NwIRcQgSZOA+Gj3OzxVqBJ8zgtITtphAQaQRC+YT/3jqc4OyuCVik2CLirPwNIoLlCrf6MExYtm9ZSmrN7wOsJjS2yqHGG1wItgIX3/hZoWr383RWiVhsk0AiC8A1usRHJBZqY4mytlVMjgYQXC6e56eAEFAKNmgQc4FMElPVnSobwNOeqkE0FEV7AO58BNqvWFV4LtA50crpLofPvm9Za+TOrxNsaNEBOc4ZoJycJNIIgfIOnOPlg4rAoIDaTXe+MNKfkgeamQQAAwkSBRj5ojth7oNmTP429fw3FNJuzO1B+SL7ub4Hm67inbUuAv+baikd7lGnI+iLHxxvL2WVshuevG+ID00mgEQThnN3vA/v/q/6YJNDi5fuSOynNaTYCVSfYdUpxdgxJoKmkOAFW/D3gCnb9MKU5uzw+RdA8aBIAfIugmdqBzS8D7fXAmR+cbGOwPbmqVWkUaCxll/wk0RNCYX6oC0igEQShTksN8PUTwJePAsY2x8d5yoFH0AA5zRnoCFr1KcBiZJGd+Bz325NAc46aSa09g5VpTjeF5RcSB/4HLBnr3Jsr1GitA+oVNVxuBRrv4vQyxdnshUA7vlqOjjkTdvxkkGNfh2Zsk/fhTQRNstoITS80EmgEQajDi24tJqC50vFx3iQQmSDf11kRtApFg4B956EakkCjFKcDrpoEOH2msEhpUzlQ+FPnrKsrcOBTFsk98GmwV+IZlXZCMmA1aF5EpPYpfM2cCTT7Lkt7gca/q3QRQGSi569NKU6CILokTQpR1ljh+Lh9DRrQeWa1/EDjbsQThyJoznHXJAAAujBgwGx2nbo5ZXjdU+H24K7DU3j9WVw2u/S3QEvoyS6rT3m2fUMpM5+1fz17HASaXYpTWX/myQkbJ8QHppNAIwhCHaVAayp3fFxKcarVoJ0JrLGppxMEONTF6RxPImgAMOQadnnkC0pzcnjkpmQvYGz1fT+154BPbwm80KsQBdqAK9ll83nXUWUuXDwVaOlD2GVNgWfR6p8/ZT5kglZ8PSfd324jaD7UnwGKFCcJNIIguhLKtGajikBTS3Em5gEQmBAK5JdehRceaIBtBI0c8W1pF/+OrmrQACDvUkAXyQ7a7iIvFwKmdjniYzECpft839feD4FjXwM/LfHP2pzBBVruBDkV6MyZ32yST8I8FWgxqUBMOgDFGDZnWK3y2KbBovh3JtD4/Tzy5yDQfOjgBBQ1cyTQCILoSthE0NRq0OrYpTKCpo+Qi/YDVYfW3iQfVDzxQANkgWY1AyaVhocLGU+aBABm7Jkg/m3riwO7pq6A/UlLR6JfXNzVFPi+D3dYzAprmiFAYi/Xr9lWB2lGqzd1Xdz2puKg6+2KdrJUqD4KGHsvu89dirPHMHltylFzDWIELc7bCBqlOAmC6IooC2fVUpzSJIEE2/v5TE5P61C85fwxdhmTDkR7eGavj5avUx2aLW1ubDaUxIsRDBJo/hNoVqutQAtUhLemgE0P0EWybmsu0JxFQ7lYikhwP0pNCU9zuvI0A4D9H7PLQVfLtWst1eq/Pxdo8dly1EsZRfM1gibZbITmPE4SaCHA119/jf79+6Nv37549913g70cgmC4axJQq0EDAt8oIKU3PYyeAYBGI5vVkkCzhb8frpoEODw6qmYUeqHB65545LFou28H+bpCeRC4sVk9Wu0PeHozbSCbneupQPM0vcnJGMoulYa49hiagUMr2fURt8g+a1azbWSMwwVaZKIs5mwEmpdjnjghPo+TBFqQMZlMmD9/PjZs2IC9e/fib3/7G2pqOmFMDtE12LII+ObJ4NRNNbtoErBY5IJ7ZQ0aIA9N50ay/sabCQJK3DUKbP0n8OEvO1bsHQqUH2S/i9nk2faeNgkAJNCU8KhN70tZmq6tXo7ueoN97VrNmY6vTQ0u0DLECFdiHrv0t0CTUpyHnX9vHf0KMDQCCblA7sWAPlKOcqulOQMl0LR6OQMQgmlOEmhBZufOnRg8eDCysrIQGxuLK664AmvWrAn2sohQoKUGWPcnYNc77KDb2TQpU5x2Z/WGRnbWCTimOLNGscvCnwIjLL0Zkq7EnRfa9jeBMxu7ts+XsRX45EZg7TPAwf959hx3o56UUIpThouC+J5A9hh2Xe2zY7UC5487/18o2297O2ACTfy/4SnIQEXQUvoBGj37jnDWgLBPTG+OuIVFt5WvoxbJshFouew6F2hWq29zODnRoeuFFnSBtmnTJsyePRuZmZkQBAGrVq3y6HlvvPEG8vLyEBERgdGjR2Pz5s02jz/33HMQBMHmJyPDy/y0n9buaq2lpaXIysqSbmdnZ6OkpMSv6yS6KAWbIBXpBioa5QyLxa4GrdLWWoGnN7XhrDFASeYosduv2reIgju8GZKuJDyGXTpLcfKDQL2X/3/Fe7x/TqDY8Zaceju11v32ZhOrSwKCK9Dam4B3pgDrn/fvfgMJFwWxGUDPCey6Wh3ajy8Br48DdjkpX+ERtDDx89kRgWa1AoeWq9d/8ZSjvUCrO6eemvVVoGn1QOoA29dUUlcInN0MQABG3Czfz9OcLiNoSY4RtLZ6wCRGvb2NoAEKs1qKoDnQ3NyM4cOHY8kSz9uLly1bhnnz5uH3v/899u3bh0mTJmHWrFkoLLRtvR08eDDKysqkn4MHnUchtm7dCqPR6HD/sWPHUF6uUiDt4drdrdWqclYleGO0R3RfCn6Ur3e2QGutYfUgAACBXVd+capZbHB0YUDOOHb97Bb/rqvpvJiKEOSDgKe4Mqs1tspf8g1eiK3as8C7U4H/3uTdWgJBSw2weZF8+/QG935lynSvt00C/oyOFm0HSvYwu4mugjKt1vMidr3ITqC11cvWGQc/d9yHskGgvzjvtLYDnZx7/g18fjfw4dWszku5Dj7iiZs7x2UBGh1gNsi/ixJpzJOHcziVZLhoFDj+HbvMnSiLLcD1HE+1CBqfx8nXHpHAUqXeQhE058yaNQsvvvgirr32Wo+f8+qrr+Kee+7Bvffei4EDB2Lx4sXIycnBm2++abOdTqdDRkaG9JOamqq6P4vFgkceeQRz586F2Sx/oZ04cQKTJ0/Ghx+qf2l4snZ3a83KyrKJmBUXF6NHDx/OAojuh3Jw8PnjnfvaPKUZmSh/gTUpGgXULDaU9JrELv0t0Hh6MykPCIvy7rmuatCUaRVv6quqToJ5Ph0LfhfY5leYp1naYPZ3aa11783Fxaougglrd8RlARCYVYk/Iw48zRai3XSq8Bq0uB5A9lhA0LCojjKauvvf8ueteKdj+q62gIknbbg8kN7XCFpdIfD9M+x683nbiB0XSvE5smWGVifXFKqlOX2NoAGKTk6VoMjJ79ll3+m297uMoNWxS7UaNC7QvLXY4Cg7OUOMoAs0bzEYDNizZw+mT7f9406fPh3btm2zue/kyZPIzMxEXl4efvWrX+HMGfUPvkajwerVq7Fv3z7cfvvtsFgsOH36NKZMmYI5c+ZgwYIFAVvruHHjcOjQIZSUlKCxsRGrV6/GjBkzVPf3+uuvY9CgQRg7dqxP6yF84Ie/Am/9Qv6C6CzqCm2/qDs7gsYbBKLTgBixNEDZyenMYoPT62J2eW6rfyMt0gQBL9ObgNzFaVCpQbMRaF6k76R5pUb1eaWdRV0hsPNtdn3an4Del7Hrp9a5fp5Uf+ZB9AxgIo5bGfizUYALhBDtplNFGUELj5VFCY+imdpZXSPAIlVWC3B6o+0+uIBOHwyk9GfXfRFoVivw5a/ZZ5sLqi2LZQEu1Z/ZNda4qkPrkEBTNAooMbaK6U0AfafZPuYsgmY2yWbKkYmyF197PfteVqaafYF7oVGKs+NUVVXBbDYjPT3d5v709HSbVOT48ePx4YcfYs2aNXjnnXdQXl6OiRMnorpaXSVnZmZiw4YN2Lp1K+bOnYspU6Zg6tSpeOuttwK6Vp1Oh1deeQWTJ0/GyJEj8dvf/hbJyer/EI888giOHDmCXbt2+bwmwkv2fMAK9Is7+T0/I6Y348T6xOpTnTtehzcIxKQBseLnV9nJKZ3RJqg/P2s0i8o0n3cuLpsqAZPBu3VV+lh/BrhOcdoINC9SnEovrGDWoW38C0tV9ZoE5F/OfgAPBJqHJrVKAlGHphQI/k41tdWzyFLVSf/ts71RFvpcGNjXof38KfuficuSjVhP2tUFcoGWOVIWS231zh31nbH3AxZx10UAd33LrG5aa2TRzpuMOkugcasN+5FPZ7ey6GtspuP/sCTQ7H53pe1GRDwQFi3XjdUVKoSyjxG0EB6Y3uUEGse+TstqtdrcN2vWLFx33XUYOnQoLr/8cnzzzTcAgA8++MDpPnv27IkPP/wQy5Ytg06nw3vvveeXejB3a50zZw5OnDiBU6dO4f777+/w6xF+wmyU//k7O/zN05vDf8W+dM2Gzh2vI0XQUhURNIUYkSJoTlKcunCW9gHU05zFu4FFg4GvHvduXdVidCGlr3fPA7wQaF7UVylrd4JlPVF+kIkBAJj2PBsW3Wcqu12yx/XB3huLDU5XE2jbXgO2/VNO/6lhtTIx66kHGf9fCBcFAyDXoRX+xE6mtv2T3b7oYaD/LHb91DrbFG7pfnaZOZKl7LnI8GaiQF0RsOYP7PrUPwKp/YHLfsdub/0nMyK27+DkJLmw2uiIQItOEb83rPJJFSA3rvS93HGoubMUJ//fDI9naVkASFR0cjZ2NIJGKU6/kZKSAq1W61C4X1lZ6RCpUhIdHY2hQ4fi5EnnZ1EVFRW4//77MXv2bLS0tOCJJ54IylqJEKGhFFIXZWeGv61WuUGgzxQgWRQjnZnm5AeqmHQWRVPeByhq0BKc78NVHdpPrzPR6W1kkh9I+Jm/N3gq0EytnkcwlKLVm+YCf7LuTwCswOBrZYuT+CwWobBamHWIM/gUAU9MajmSQPOTILVa5YJvwP8CjUetCn9yXt92ci3w8XXAW5Pcz5AE5NFCSlHABVrFYeDAMhb1jogHRt/Bomv6aHbiU36AbWexAGU/s+uZI9klF0yepjmtVuCrx5ilRc5FwPgH2f1DrmN2F211wPY3ZJFkL9CkCJqKIJSaBHwQaIAizano5OR/i/xpjts7i6BJDQIJ8n1SHdo521pAXwjhgeldTqCFhYVh9OjRWLvWNlS8du1aTJw40enz2tvbcfToUacF+FVVVZg6dSoGDhyIFStWYMOGDfjss8/w5JNPdvpaiRBBGSHozLOryiPsIKWPYlGo1H7s/qAItFT5IKSW4nQWQQOc16E1VTKjSsC7g7GpXRZB3GTTG1zZbNgfFBo8jA7ZRNCCINCKdrGohEYHTPmD7WP5YhTt1Hrnz/fGA40TLx4c/SXQWmttGzf8eaBsqpR9xtrqgPNOxBcvXG8qB/49i0UeXaE2Wiguk3UYWi3At2IEa+y97MRAF84MbQE5ilRzhv3eugi5I9lbgbbvY9atq4sArn6dTQgA2OWlT7Hrm18RRzxFAMl9bJ/vLMVZVyT/TWLUm+vcwjs5udVGzRk2n1ejk2sklTirQVN2cHKUjQKSWPZRoFGK0zlNTU3Yv38/9u/fDwAoKCjA/v37JRuKJUuWYOrUqTbPmT9/Pt599128//77OHr0KJ544gkUFhbiwQcflLZ58skn8eOPP6KgoAA7duzA9ddfj4aGBtxxxx0Oa7BYLJg5cyZyc3Ol9ObAgQOxbt06LF26FIsWLXJ4jidr93StRIiijIh0pss0T2/mTmRf7CmiQDvvR4FmbAOWXgWsfVb9cZsmATHaq9Yk4KwGDQCyxrDutKYK27FP+z5mRfUAO2h6WodWew6AlflF8bNeb+AixF0EDfA8fad8TzwVdf7k6BfscvC1jgdfZR2as5Stt00CgP9TnPbRG38eKE9vsL19bpv6dgWb2GV0KvssfHC16w5kZ52DvA6tXezMHK/4nud/j5NiXSCvP8sYJqfuksQ5tp5abfBOzcueBlLybR8bfA2QOpBFqgF5xJMSLtCaz9vWih0QU+a9Jrk+CXOF/UxO/nv3nKAesY10k+J0JtAksdzBCFprTefW+XpA0AXa7t27MXLkSIwcyUK88+fPx8iRI/HHP/4RAItsnT5tO9PvpptuwuLFi/H8889jxIgR2LRpE1avXo3c3Fxpm+LiYtx8883o378/rr32WoSFhWH79u0223A0Gg0WLlyI5cuXIyxMbjUfOnQo1q1bh+uvv96ntXu6ViJEUUYIvC3a7Qi8QSBPPOPmAq3Kj1YbJbtZN9WOt9TTPlIELU09gubOZgNgBrZSHZrYuWUxM68mJZ5GJ6X0Zp5j/YoneJriBDwTHxazrfVIMCJoJ8TID69xUtJzAovCNlXYppmUhEKTgH30xp8CjTdJ8A5eNaf/xgrxf0sA7tvARImhkaU8TziZ6uKs7qnnePn6yFvk8gBA7lrkdhvKBgEOF2ieRtB4rVq/mY6PabRyLRrgmN4E2P8vFz7c9d9qBfb/h10fMdezdaihFGgWixyl5ELVHuUkAeV3Ep9TaiPQxONnTYH8P+hzBC1053EGXaBddtllsFqtDj9Lly4FwCYCnD171uF5Dz/8MM6ePYv29nbs2bMHl1xyic3jn376KUpLS2EwGFBSUoLly5dj0CDnnV/Tpk1DRESEw/0jRoxATk6OT2v3dK1EiKI8AHVWfYLZyFKCgJwGSBXb76tO+M+ygh8ATG2y87wSfpCMTrWtQeOv785mg9PrF+yS/06nN7Cz3oh4+bmeHpB5VCHRx5MbTwSaTvwO8ER8NFcpzHzR+TVotWeZsBC0rFbRHl04kCd+1zhLc7Z1IILWfN4/c0u5yBA08n79gcUs/94TH2WX51TGj/GTh4whLDJzy+dAv1nsf+PTueqRa2ezH3PFtL6gASb+2vaxhJ7MSoPbbagJtEQvUpyttbL9hNLwVcnAObJQyhyhvo19mrNoB3t9fTR7vq+k9AW0YUzsVp1wbq/BUQ5M578X4DqCVnWcbS9obMWwNyjncYZYHVrQBRpBhCzBqEEr2SN7GfEv1qQ+7Auord7zLjN3KA8A9gcD5ZinGIUPmrFFFjfubDY4vA7t7BZ2YNz9Prs94hbZQsTT9DE/kCf5UH8GyKN0XPmg8dZ/TwQaP0hrw8Xb5Uxgdxa84LrnRc7/Dryb05ndBv97etMkEJkoD7b2R9SQCwP+3vtLoJXuZ9GX8DjgoodY7VNjqe2QbUAWDr1EMauPAG76CMgZD1hMjmlSQOG9ZSfQUvsDV74CXPuOHA1TwsXJye8VDQIj5Mf5Z7v5vPORZBzeWBGd5ty0WaMBbvoYmPosMOJW9W3sBRqPng26Wq7b9AWtXj653Pkv5/YaHF24HOlUZixcCTQ+Dzgm3TF96w3cC00ZEQ8BSKARhDNsBFonnVnx+rO8S+QhwvoIOaTvrzSnsias2raEAG117MAEsC+usCg5Bca/wNzZbHCyx7Kz6MYyVudzQhzzMvou77unlClOX/Akgsb9mzyJhvHal9T+7HeEVX1kTqDg6Td7R3YlvFGgcLv67+2LzYYgyGah/mgU4H9XPnDcXwKNi9Lel7LPaY8R7LZ9mpPXn+VNku/T6uUItpobvqu6p7H3AkPVy2Kk9N6hFYCxmaWgeQkDwNbJi9bdWW3wlKS7juakPGDSfMeZuRylQDO0AIdXstsdSW9y0sX/p32fsEs1ew0lalYbagJNH8mEKcfX9CYnTWzS8Pfkkw5CAo0gnKGMDrTWMUfrQMMFmn2XEz8T9dfIJ+WXf42dQONRuogEdlYLyOkDfmDyxGYDYF+kWeKB96vH2Rlvr0msM1Vy8PY2xdnLs+3t4SLT0ORYDGwv0LyJoMVlysXi/h4i7gxDiyJl5EKgJfdhgtZiBAo2Oz7uSxcn4N86NB4J4vWK/kozcYHGRVGuWMCvbBSoL2ERZEHDmnKU8Ah2uZ1As1p9997Knciij+Z2drvHcMfIj6d1aNIJSwfrmfkJT+1Z4Ng37DOR0FNO13YEbrXBf19Xn1VAvZNTTaABtmndjgq0AbPZJe8uDxFIoBGEGm31tnUQsAa+gLS9SfYFsxdoUqOAH9zQrVbbL/9quwMBj5Ipazp4mrOpgnWAmtrYbU86vHgdGhdYY+5ml94INItFPiD5muJURons05ySQBvGLhvL3AtypdVCHBcsnVSHVrCJ/Q3ic1h3nitcTRUItkAzGeTuVy7Q2hvYZ6wjtNSwRhhA/v17igJMGUHjIrfHCMfPMhfrlUdtU9ct1XIXsrcCTVkXCNjWn3E8tdrgwjahowKtl7i/s8DPYnpz+M1yBL8jcKsNgKWYeeOTMzyNoAG2As1XDzROvxlsfeePAlWnOrYvP0ICjSDU4AfayEQ5ShToOrRz21hqMSHXMUrkz07OpgqWXuHYR9CkBgFlCoGPe6pQjF4RPDuw91KciUenAgOuEq8n276eyzWXM0EiaOUBz96iC2dfwoCtpYCxjdXXAXJhs9XiPl3ZpEhzxYv1dJ1ltaEcOO2uo5ULFB6dVeJLkwDgP7Pa+iL2XusimSEz//t0tKTgzEa239SB8lq5kWzVCTlKx6OKyvQmJyGXfb7NBtsTI/65iE5lqVBv6avoYlQVaB5G0KQUp58EWs0ZeVbo8F91bJ8cZeeoM3sNJWpmtR5F0HycIsCJTJCF87HQiaKRQCMINXhkIC5bMQokwHVo/MxeeYbNkVKcfvBC4zVnvGOxpsC2rV1pUstRjnuS0ptxnp1lZ48DNOKBbORtbOA2oIigeSB8efQsIce3gyLAhIxaHRr/fQQNE+OepittImiiQOuMCJrVKgu0fjPcb99jOLusLXD0nPOlSQCQRXJHBZpyMoRG433a2xm8e5PX4AEsOsMNYfn/2lmx/qyXyv+cRqOe5lQzqfUGpYs+r4tTInmhnXW9n1oPa9DcEZfFhLHFBMDKIo1qDQ6+II18gnN7DSU+pzh9nMOpZGDopTlJoBGEGvzAE5/t3OHa3/BJAWp+RXz2ZGOp++4ud/Az85zx7IvZ3G5bFK80qeVIVhsVnltscMKigBE3M7HLh0YD3h2MazpYf8ZRE2j8bD0igR2UJfHhTqApOvmkCFonCLTKo+zzqYuQx2m5IjaD1T1ZLY4djL4Y1QKev0fusE9bu2sc2bMUOPKl633yuZqAoyhQDjSvPcveD41Ojq7ZI7nhH5Dvk5zrfRQFibnApb8DJjyqPlPWE6sNi0WOoHU0xanV2Ual/dEcoGTsPcxeZNiN7re1T3FaLIqOcTuBpowcdjSCBgD9rwQgsE76zqoldUOHBVpDQwNWrVqFo0c9mF9GEF0FfqCNz1aMAglwBK1arH2wdwQH2JcTF0wdHfnEU5op/RTpDUWas4lbbCgiaLGKGjRPLTaUzHkNmH9YFjKAdwJNahDwsf6MIzUKKAQaP0PnBweeEnOXrlRGUvwlWDzhpNi92WuSc3sFJYKgSJsp/s6mdtll3ucatBLn8y09wX62qqvPREMpazRZfq/r6RMVh9jnVB8lCzIObwQ4t01Ob2aOcm4nwevQ/BlBA4DJTwMz/qyenuZ/q4YS5z5zTeXsbydo5ehtR+Dvvz4KGPzLju9PyaULgEd3Ok5dUMM+xdleD2kesv33jVKYerJvd8Smy0L92Dcd358f8Fqg3XjjjViyZAkAoLW1FWPGjMGNN96IYcOGYfny5X5fIEG4paUGOPAZ62zzF/xAG5+tOKsL4DQBi1k+Y05WEWiA/9Kc/HWSejOPNcDWaoNH0PiIJ+X1xgrPLTbc4Y3NRkcbBDjcC61dRaDxM3QpXelCbJlNilSwIsXZGRE07n/mSXqTkywe9JV/Z+V74G0ELS4TgMCirx1JR9p35roSaHzt5nbHukklPHrWa5KjtQQXbGU/y5YvaiUFHC7QKg7JBrfOTGr9RVQSEC7+bzlLc/L0Zny2PCaqI/DvnIGzvf8s+BP7bAX/39RHyx3lnPgcFkXW6P0jUoGQS3N6LdA2bdqESZNYWH3lypWwWq2oq6vDP//5T7z44ot+XyBBuGXT34EV97EZj/5CKdA6owatrpCdEWvDnRfB+6tRgHdtJveR5zcq0ylNKilO5bgnTy023MEPxsZmwNDsettApjjtBZonHYrNlQCsLIIRnSJHBluq/eOu74zWWpaeA5w7squhVnjOhbY+2nuTT61eFigdiRp6E0HjKT2ApXmdwWc+qr0/CTns/8tqlqMkag0CnNSB7G/cUi0LM8leJUACTRAUnZxOvND81SDAmfhr4KKHgWnP+2d/vsLncfLxTs7qzwAmvn/1H2bE620NpTN4A9O5rSExVcBrgVZfX4+kJPYmfvfdd7juuusQFRWFK6+8EidP+sECgCC8hXdYVfvx89fZNWg8vZncx/nB0h9WG0qLjaTe6gdu1SYBMYLWWivbcHQ0ghYWI7vwu/sy9FuK0xOBxtOVLqJhPM3FHcwjEvzrru+M0xuYuEjp751Y5ZHSGpUImq8Ht452clqtjoXurqKqtQqBdv6Y+j6NbUCRKGDVxl8BirSnlXXs5oxX3w5gIoD/3/E0Z6AjaIB7qw17YdtREnOBmQv9U8vVEZxF0NQEGsCaQPqrzCH1lcRcZrVjtQDHv/Xffn3Ea4GWk5ODn376Cc3Nzfjuu+8wfToznqutrVWdZUkQAYd/YfLi3Y5iMcv76qwaNC66nKU3AWbuCnTMrJZbbAgaVsORbJfitFrVbTYiE0W3fMVavalBU0MQ5IiJq+hkW4P8hd3RFKck0BQ2G9IwZl6DxlOcLoSHfR2SIHSO1QYfjt7PjeGnPfZ/Z8D3BgGONE3Ax9+3tVZeA+/IcxlBUzQ4OBNo54+xbsTIJOediLmKurTsscxM2RVSHZrYKOCPGjR3uLPa8JcHWqhhMzDdLNe7RjkRaIGAzx8NgTSn1wJt3rx5uOWWW5CdnY3MzExcdtllAFjqc+jQof5eH0G4R0o9lPtnf02V7Ete0LL6ok6JoImiR62ri5Mi1qDVnHFdJO0K/oUfn8PsLqSW/gLxC7FWNuGMVkTQBEGOovEmhY5G0ADP6tB4tCAqpeP1MZJAa5Dvc1aD1lZnK+SUqEVRAm21YTEDp8T6s75e1J8BcgStvkj+7EhjnjoaQfNRoPGoaGwPWSR5nOJ0ItC4iMoY6twfjhvWAp51wUoC7RAzrOURZn9YOzjDnUDzdMxTV0MamG5hKXh3EbRAwOvQzmyUfQKDhNcC7eGHH8ZPP/2E999/H1u2bIFG9EHq3bs31aARnY+pXRZO/pqDKHmgZbIC3OjOTHG6EGhxmSwtaDXLBzdvUaY3ASbUtGGs/q2+WD4whsc7Flhzqw2+1o7WoAGedXJ2dMSTEk9SnBFxsvh0VvSvFkUJtNVG0Q72GYxIcOxOdEdMmvjZUdgz+GpSy+moF5pams7TFGfNafWTFJ6GzHARLEjtL3/u7Cd2qCFZbRwUxZmVWXPwE7dAoDxxUqO7RtC0erlBoqVabszqTIGW2p99D5sNst9gkPDJZmPMmDG45pprEBMTA7PZjP3792PixIm4+GI/zO4iCG9QirLG8o61/HOU9WeAbQSNd3L5Gz5exFWKUxDkCJuvaU6e4uIpL43W1mpDqj9Lc3iqZDjJrRn88aXpiUDjhdIdTW8Cngk0QDG6yYn4UJvFGGirDV7U3m+G9517ysJz/hnwZVC6ko7WoKkKNMXnQfm/ZmqX33ONnkW41To5JYE2zPnrCgJw44fA7H/apjudwQd+15yRT05iMvwzCskZvNayrtBRiJoUvoXdLYIG2HbNByOCJggh083pU4rzvffeAwCYzWZceumlGDVqFHJycvDDDz/4e30E4RplWtNq7rgDOaCIoIkREV6DZmpz323oC+1NzIAWUPdAU8LTnO46OU98ry4U7CNogKKA/IzCYkNFoMWm2972S4qTj3vyIMXZ0QYBQBYjylmcagcBd+k7tQhaIK02rFZZoA240rd92DcK8DRvh5sE3AjSmgJg8VBgw59t73cl0MwG2zR0XREAK/PpyhzB7rPv5LRYWBoScB1BA5gf2ug7XG/DiUkVU9kKA9xAdXByYjPY+CtlxJNTXwzpveARx+6E0qw2GAINkAXa6Q22c1g7Ga8F2ueff47hw9nokK+++goFBQU4duwY5s2bh9///vd+XyBBuMS+MaDRD40CSosNAAiLlrsNA5Hm5GflUSnuv4g8aRQ48yPwnxuAT29xfIwfnPnBGlAUkJ+RTWqV9WecGLui6K6Y4lTzQWvhRrVqAs1dilNxoI4PYA3a+WPsfdCGA32mut9eDS7Kq+0Ems81aGLEsKXatQfh3g9YJGjzy0DFYfl+NesUfSQQJopopWhXuubzcU32jQJ1Z5kBsTbcdS2nL/DpHtyDLtDdjoIA9BCjgOe22j4mjT3LdT+HtSuizFgES6BljgR++Rbw2D7fR8v5Aa8FWlVVFTIy2Idz9erVuOGGG9CvXz/cc889OHjwoJtnE4Sfsa8787RRwGIBvnsa+PxuxzMke4EmCIH1QpMmCHhwUOGpm+LdzrfhQ7HL9tua2lqtinShMoKmcJnnFhqqKU67+/wSQeMCzcX76tcUpyhGXDUJAAqx5SQ61KQWQeMTCAIg0I59zS57X+bc9d4d9p53HW0SiIiXxZSz98lqBQ6vEq9bgLV/lB+TLDbs/q5SHZpCtCt9v5wJNJ7eTBvo/4Mqj8idF6N2gbTY4HCbkNMbbO/3twdaqBEKAk0Q2Hi6IEcovRZo6enpOHLkCMxmM7777jtcfjmbddbS0gKt1kuzQ4LoKPYCzVOrjbXPANvfAA4tB05vtNsHF2gKw1hvpwmU/ex5LVK1B/VnnOyxAAQWTeH1YvYU7ZSvH1klX2+qZKk9QWP75a6MrKjN4eTYRw06arMBuI+gmY3y++jPFCcXJ6Z2ZjsC2Ak0FwXwZqO8XrUIWnuDbALrL46tZpcDrvB9H/Ypzo42CQiC+zq08gNy5E+jZynC0xtYXRX/P7OPjKp9JqSi+J5AmijQ7Ds5PWkQ8BX7fXaKQBMjpWd+YB28HH97oIUaoSDQQgSvBdpdd92FG2+8EUOGDIEgCJg2jbk179ixAwMGDPD7AgnCJQ2iQBPEj7InnZw73wF+WiLfPvqF7eP2ETRArkPzJMV5Yg3wr0uAJeNYutEdnnigcSITgLRB7Dp3lFdiNrJhv5xDK+TrksVGtu3YFB5ZqT2rMGBVS3EGogbNjc1GfRGrLdRF+CetZO+Dxn2WBI3cPQYo5nGqRMN4lFGjl73TAJYK52lff6Y5G0qB0r0ABKDfLN/3w//O9cVMmHbUqBZwX4d2RPzf6jcdGHsvu/79MywKZLWwOiv7yKyaQFNLcdp3cnrSIOArwRBomSPZ/1hbPVC6T76/u3ZwcvjJcGuQmgRCCK8F2nPPPYd3330X999/P7Zu3YrwcPZFr9Vq8bvf/c7vCyQIl3BBwb+03Qm0498C3y5g1/uLxdbHVrPZigCrpeEiTDnYO8qDYnaAzapc9TC7bmwGPrlBjn44wxMPNCU9RedzNYFWdgAwtTKxodGzlAwvppbqz+wMPOOyWYTDYpQPBGoRNKVA00U6zsbzBWddexxlnZI/6m3C7WrQ+AEgIsG2K0/paWa/LpspAnZfoa6Ena8cFz8/2WMdGzW8ITpVttqoPdvxLk7AtVmtMr056JdsaHZ4PJtr+cNf2f1qf1c10V6rSOvFZbG0rH0nZyAjaEm9WVE+pzMc97U6IO9Sdv3Uevn+7p7i5Cc9zRRB86lP+Prrr8cTTzyB7Gw5wnDHHXfg6quv9tvCCMIjeFNA5ih22eBCoJXsZTVnVgsw6nbWah+VzM7Uzm0Rny8eWMNibIvgoz2IoFkswKqHWJ1a+hA2183cDiy7lQ1zV8NqVVhfeCrQRGuAIhWBVrSDXeZOYGNQAPkgKXVw9rF9jkYj13fx388+WgaIkQ7xYOqP9CYgRyYtRvW0oD87OAFZjJjbWRRJmiJgdwCwGQZuJ8rVLDak53kwaN1bpPSmj92bHEGwNUDt6CQBQBak3CBWScVhJqC04cwaJCoJuOQ37LFDn7NLtTSduwiaIDCvKkA++Wiulv930wf7/Os4RaO13W9cAE1qlajVoSmbBLoj/GS47hyLngMk0Lzhxx9/xOzZs5Gfn4++fftizpw52Lx5s7/XRhCusVplQZYlCjRnEbT6EuA/NwHGFlbbceWr7AyVH/SOfClup/BAU57ZS3URLiJoO94CTq9n6bjr3gNu+AAYfjP7kllxP7DrXcfnNJaJdWFaz2tK+OzAsp8du+e4aMsZBwy+ll0/vMJWCKqNwLEXbWopTq1efh/8kd4EmBmuWtceh3dw+qNBAJBfC2BpTmdn6DbDwO3qq1yN+vE0glZ1Elh+r3NHfE5bPVCwiV3vqEADbEc+SQKtA3/LfjMBCMCJ72xrHwG5/rHvNFkEjnsAiO8pb+OJQGtvkk8c+EgoLtB4o0CFGD1L6u2/wdn2KCNznTWzkgu04l3ss9DWIH9mu2sEjX/H8O8rXYT7cVzdFK8F2scff4zLL78cUVFReOyxx/Doo48iMjISU6dOxX/+859ArJEg1GmrZ+k8gNVrAM4F2p5/swL4tMHADUvlLq+BYtT36FesEJfXDinrzwCFQHPSJFB+EFj3LLs+/UVWyKzVAVe/wQ5KsALf/MbR+JA3CCT2YqOXPCGhJxMPFpNtvZnVKh8kcy4C+s9i0YuqE0DlETmCltzHcZ/2AkgtxQnIByZ/WGxIr+WiQ1bNiqEjaHUsPQswSwZXKRRnnZxqFhsOz3Ej0Ha/Dxz8H7DzbdfbnVrHoosp/fxjHaFsFOhokwDAokojb2XXv3taTgfbpDcVmRV9BHD5s/JtVYFml+LkMzgj4uXIbepAdskFWiDTmxxutaGP8r3z1VsSc1ltqtUMFGyWI4lRyR0fexaq8O9aczu7vECjZ4APAu3Pf/4zXnrpJSxbtgyPPfYYHn/8cSxbtgx//etf8cILLwRijQShDhdjEQmywGitBYytjtvyVMio22zPsPMuYRGE5kqWHlRrEABc16AZW1k0xGxgRdy8GBpg6cNZfwPG3sdu//S67XOrvKw/A1hkr+dF7LoyzVlXyN4TjU4sMI4D8lmXNQ6tUDep5ShFW3ic45gnDi/o9lcEDXDdyenvFCdg28nJBRovTFbiLBrmKoImWW24SXFy0cEFujO4OW3/DnRvKlF27PqjSQAApvwB0EcDJbtZVzTA/t+qT7IxYv1m2m4/+Fogexy7njXacX/2nwdlepNj38nZGQItR1xzcn7n+o8p05zdvUEAcByhRQLNc86cOYPZs2c73D9nzhwUFPg4H5AgfIFbasRlMpHGIyNqUTRndV66MNm64MiXzgWaqxq0H/7KzuRj0oGrlzh+eQsCMOk3LI1Z+JOtyaw3FhtKckSBVrhDvo9Hz3oMB8LEgubB17DLvR+K7vmCetRCmeJUM6nlcLNaf9WgKV/PXqBZrbJA81eKE1AXaKoRNCcdiq5q0DyNoPHPLv9cqmEyyMaoA65yvT9P4UK84pBc39PRSExsBvCLJ9j1dc+xExbevdlnqqMA1GiA21YC9/8I5Ix13J/950HZIMCx7+QMZAcnJ2MocMtyFoHvTLjdxun1ihOWbizQ7P8XSaB5Tk5ODtavX+9w//r165GTk6PyDIIIEMpUkyDI41fszWotZjl6pDZKaeAcdnn0K6BejGzEOUtxqkTQjn/LLmf8xbmxYVwPVigNMLHE8cZiQ4kUQdspzx+V6s/Gy9v1n8lqOLi/WXyOevelMoKmZlLL4TVAak0EvuLMaqO5ShaVCT0dnuYzSoHmahizs3mcLiNoinFPrua28qhcQ7FzF/5zW1idWEy6eqTJF7gQl040BHm6QkeY+Ch7v+qLmL8grz8b/Ev17cNj5JFN9nCB1lLDuqvVImhxWaye0GICKg/LJz2BjKABQN/L1UsEAkmvX7CO7Nqzsgl1d46gaXW2EXoSaJ7zm9/8Bo899hgeeughfPTRR/j444/x4IMP4vHHH8eTTz4ZiDUShDq8g5PXAvFLe7PaukJWz6ANtzWf5fSZwg5SDcWydYVDilMUEa11siUHwA6u3Caj1y9cr3eUOPvv5/+yDkLAe4sNTvoQllZqr5fdzXk0TSnQwmNZkTYnWSW9CQCxmUzIAa4F2rj7gCnPABc97N16XaHmHA/I9UXORKWveBpB45HGwh22IkqKoKnUoPHuPlOb845fk8HWZJifPNjD/559pvpvMHd0im39VHicf9J1+ki5tuyHv7G/nUbvmN70hKgksG5hK3sPeTpYGflVdnIeXsmigVHJneNP1tmEx8j/03wWaHc1qeUo05z+jNZ3Mbz+r3/ooYfw6aef4uDBg5g3bx4ef/xxHDp0CMuWLcMDDzwQiDUShDq8gzPOTqDZR9CkNGIf1i5vjz4C6DudXTeLxpf2Ak06gFvlgzrAiu+tFnbW7y6qlH85E0It1ay2yNQuH3w8tdjgaHVA9hh2vXA7K/iuFOccKgUaIKc5AfX6M0C02hAfc9YgALAD/CVP+ndYtLNxTyXiOCveoesvPBVofSazyF1TObDjTXaf0ppDTQzowuX3z+mg9VIAiuiaszq0yiPs0p+2EYJgmy72Z6H5kOuZ3Q0v7u4zxbeDq0arqPk8bztFQAmvQzso1r1lDO2esykB9lkEIH1uunOKE7ATaBRB84prrrkGW7ZsQXV1Naqrq7FlyxbyQCM6H/tuOp5ysq9B8ySNOGiO4obg6HOk1clfFMrISNnP7DJjmPuDg1YHjBQHmO/9gHUoWi0siuEqauUM7odWuJ2JGauFHcTsxVPfGXJ9njOBpnzMl7V0BGc1aHzeaLZKnVJHUBVoKk0CunBgijg7cvMiJiD5FAFtmPMDhzurDfv6NGcCjUcQuRDxF8p6Q39aUmg0LM3PGdSBY4L0mahUT3ECcicnb8gIdHozmHBPQ053TnECJNBE/BQ3J4ggYJ/i5KLKPsVZ7YFAy5+mSPGlq6fU1OrQeHFyDw+Lk0feBkBgtSQ8XZHcx7czfz5RoGi7wl5jvON24THMmFfQsmHbzhh7L5D7C+b63pmo1aBZrcz7CZAjhf7CRqDVsevODgJDrmNNF4ZGYNPfbevPnP3N3A1atxduao0Cpnb5fj7ay1/YdOz62aohdwIw6UmWlu2QQBM/E1WnZL82+whaqp1wDWSDQLDJGK44iRDUSzW6EyTQAAA6TzZKTEyE4OEBpKbGw2HSBNFRPE1xemJlER7DUpDHvrYd8aQkKoVFO5QRNO6g7unZe2IuS1ec3gBsfpnd5216k5M9ls2QrCuUPafUBBoAzFzIaoTCop3vr89kRSqlE1GLoNUXsWiVRscEkj/hRfGGJsUkgQT1bTUaYNoLwIdzmNEwj9LGqDQIcHh0g3fc2aOcVmFoUo+gVZ9idVXh8f6vq1JGUQPh5zX1mY7vg38meJo7Ok3uTObYRxa7cwRNo2H/m4eWi7N0PfRM7KoobW9IoLlm8eLFAV4GQXiJ2SR3JsaKkTNJoNlH0HgNmhshNPI2JtC4hYU99l5oZhMbZwOwM1xPGXUHE2g8vearAWl4LGsWKD8gNwo4E2garWtxFkykrr1q1nGr0crpzYyh/ncR51GjlmqxSxSuDwK9L2UR1lNrgR9fYve5cpLnNV7cZNcenuLMnQic/F5doHHfvrQB/q+rSgpgBM1fSAJNNGJWq7ninZyGRtYA5OuJTleh73Qm0HhzRHcmkgQa4KFAu+OOOwK9DoLwjuZKVnMlaOUvcx5JayhjKTJBYGksXpOmZrGhpP9M4LF9slWCPdF20wSqT7FuPX2069ouh9e5gkXjeKrUW4sNJT0vkqN4YbGBmUMYaKQvYyt7b2NSZYGW5ef0JiBHjeq4fYbgfjLCtD+xlLRR7OZ0FdXin4VaJwKNR9B6TWICrbWG/d7KqIEk0Aa6XpcvBDLF6S/4/zQXr2o2K7yTs2Q3kD6I1Xh2Z4beyJqYci8O9koCj02KU6U+9AKBatCIrglPb8ZmyBYE/KBpbpejU/wLPirFszOxpN7OLR3sa9Ck9OYQ72wQdGHAiLny7Y6M8OmpiPZlj1HvUg11tDr5S5i/t1L9mZ8bBABZlHB/s8gE93+/9MHAiFvk264iaImKCBr3qFPCa9NS+snRX/s6NN4gkBoAgRaVLM/fDNTcyo5i7yforCiepzm7c3qTo9GwWtLO9mELBlSDBoAEGtFVUfOi0oXLB3r+OD/w+WOOIfdC4zVoyg5Ob+GeaNpwx0Hl3qBMxzpLb3YFlHVopnb5vfV3gwDA6g0BOZLl6QFg8v/J3bCuImjxOax2ztyuPtWCv258lnywrbETaNxiw98dnICt1UZnzZT0FvtpFs5sJS56mNWOXvRI4NdEdB4k0ACQQCO6Ko12DQIcqZNTfNxXp3417GvQvO3gVJKSD9z8KfCr/zgWP3tDfJYcsenVhVMfSoFWfoiJm8gk71LHnsIjaFYxuuXpASA+C7hqEeuE7e/CgFWrk1Ny9ia0xlZZ4MdlyZ9LZR2asVWuXwtEBA2QI07O0vnBxl6gOYugpQ8Gbl0eGCFLBA/+XavRh27tbCfQzZP2RLelwc5igxObweYMShE0H5361VDO47RaFSlOH9v7+8/q+JoA4Pr3WcSl1yT/7C8YKK02uADOHhMY41H7uitvztBH3Mx+3JGYx8RZbQGQp/i78M+tPoq9rppAqzoBwMoEaqA86aY+y4TmQMe5yiGBQ4rTj6O+iNAnOZ8ZHyf17r7mwx5AAo0IbUwG5uRu/wVtb1LLkTo57SNo/khx8jqpalZH1FrLUlmBKOT2hqxR/nfb72yUETRuTxGI+jPAMa0XiCLkpDzgNBw7OXl6My6LHXjUBFolN6gdGLiDU0wqMPT6wOzbH9hE0C4A3y/CFo0GuP69YK8i6Hgk0K699lqPd7hixQqfF0MQDnw9D9j/H+C2lbYeXdxKw97xX2lWa7UGrgaNR89SB/h3TuSFinIeZ6AMajn2w8EDUePCU7P2Kc56Rf0ZoBBop+XOY15/Zm/EeiERHsvqM83tTMx2d98vglDBoxq0+Ph46ScuLg7r16/H7t27pcf37NmD9evXIz4+3sVeCMJLmiqBA8sAWIG9H9o+puziVCKNeypnIs3YzKJc/hguzOsiTG3yUPXu7F7emXCBdv64GEETgKzRgXmtjqQ4PYXXBdpbbfCxRHHiOKjEXGYVY2yRo77nFRG0CxVBkKNo3X3uJEE4waMI2r///W/p+lNPPYUbb7wRb731FrRa1tJvNpvx8MMPIy4uRDuCiK7Jz58CFhO7fuI7wNAiF9RLKU67CBq/3Vgq158l9gK0+o6vJyyajYMytQGnN7L7LoT2/s6AH4yLdrDLlH5ARIBO+MKiAQiQBk8HJILGrTbOypExQI6g8UivVs8+nzWnWZozLjOwHmhdiZhUJmi7+9xJgnCC112c77//Pp588klJnAGAVqvF/Pnz8f777/t1ccQFjNUK7PtIvm1sYaaeAGBoBtrr2XWHLk7FuCd/1p8B7CDLo2gVHejgJBzhAo13Vgaq/gxgf0dlHVpUAGrQeMS2vV42NgZsLTY4yjq09iZ5OHigOji7CvwzQQ0CxAWK1wLNZDLh6NGjDvcfPXoUFjVTRoLwhaKdrJtNHwWMuZvdd1isb+TpzbAYx3QVbxJoqpRTRe4mCHiD/cGcImj+wd5WIVD1Z5xwRR1aICJo+kg5mqtMc/IuTp7iBGzr0KqOs+vRafLkiguVfjNYFLXvtGCvhCCCgtddnHfddRfuvvtunDp1ChddxEwyt2/fjr/+9a+46667/L5A4gKF15wNvoa5Z+9+HzjxPYswqJnUcqJSWM2ZxQSc3cru8+eMvihF+39CbuDScBca9rYKgYygAbbCPlBGmEl5LNVeUyALTj5FwCaCJjYUVJ9SdHBewA0CnLH3AqPv9m5KB0F0I7wWaC+//DIyMjKwaNEilJWxA2WPHj2wYMEC/OY3v/H7AokLkPZG4PBKdn3kbUCPESxlVHsWOLmGDdQGHNObAPsyj8lgtSt8gLg/Ojg5SodrSm/6j4gEWVjrowNff9UZAi0xDzi3Ve7kNDQDbXXsepyTFCf/zF7o6U0OiTPiAsbrT79Go8GCBQtQUlKCuro61NXVoaSkBAsWLLCpSyMInzm0gnVfJvdlsyYFARgsWr0cXuncpJZjL9z8GUFTRnoyhvtvvxc6giBHJ7NGBX6maGdF0AA5xckbBMLjbGdgcoFWe1aeTnGhNwgQBOHbqCeTyYR169bhv//9LwSxO6m0tBRNTU1+XRxxgcLTmyNvlbvfBl/DLk+ulbsznQk05f0R8Y7ps46gjKBR/Zl/4XVoga4/AxReaELg0tRSJ6co0CSLDbvxSrGZbManxQSc28buI4FGEBc8Xqc4z507h5kzZ6KwsBDt7e2YNm0aYmNj8dJLL6GtrQ1vvfVWINZJhArN1UDJHuair48E9JGobBXw4b46XDltGgZmujjYmU2AxQgIGgACE18ana1beuVRoGQ384YarhipkzGUDRWvOc0ibICjSS1HKdCS+/rXjZ1SnIEjbQDrju0zJfCvxbs4I+IDF63jXmg8xWlvscHRaNjQ9IpDgNnA7ruQTWoJggDgg0B7/PHHMWbMGPz8889ITpYPVtdccw3uvfdevy6uO/P111/jN7/5DSwWC5566qnQfe/aG5kfWdFO5vBub7wJIA3AkwDWfHkfBj74svp+yn4G/n0FYLCLsobFspmUg68B8qcCe0VrjX4zgdh0eTtBAIZcC2z6O7PcABxNajnKFKc/688AWaBFpTiP4BG+MfsfwIRHgcwRgX8tnuIMVHoTkCNozZWsuYWn5uNVBpRzgQawz1VkQuDWRRBEl8BrgbZlyxZs3boVYWG2ozdyc3NRUlLit4V1Z0wmE+bPn4+NGzciLi4Oo0aNwrXXXoukpAD4MXWEtgbgwzlA6T7b+5P7siiAqQ0wtqLqfDlSzJXoV/Oj830d+MxRnAGAoRE4+Bn7CY+TGwBG3e647eBrmEDj2JvUqt3P63v8Rc44loobdtMFPcQ3IIRFd444AzpHoEUmsp/WWnZiYz9FQInyc0rpTYIg4INAs1gsMJvNDvcXFxcjNjZW5RmEPTt37sTgwYORlcXOpK+44gqsWbMGN998s5tndiKGFuA/NzFxFpkEjH+A1QZljXY4qN3152X4ynw/ehpOAW316jU9ZzezyzlLgEFXi4akVuD8CeDIKuDwKnm+ZkwGkH+54z7SBjGH+aoT7LZaFydgG1nzdwQtLhN48iSJs64O90ELhEmtksQ8JtBqChzncCpRCjTq4CQIAj40CUybNg2LFy+WbguCgKamJjz77LO44oor/Lm2kGXTpk2YPXs2MjMzIQgCVq1a5bDNG2+8gby8PERERGD06NHYvHmz9FhpaakkzgAgOzs7tKKPpnZg2a1A4TYW1bptJXDZ75hoshNndS0GHGyMQYElHVpYgHM/Oe6vtRYoE4eL51/OOtgiE9i+eo4HZi4EnjgM3L0GuGQBcOOHgFbl3EEQ5GYBCEBMuuM2gG2Njz87OJXrILo2aYPZZfqQwL4OH5peWyBPEbBvEgDsImhUf0YQhA8CbdGiRfjxxx8xaNAgtLW1Ye7cuejVqxdKSkrwt7/9LRBrDDmam5sxfPhwLFmyRPXxZcuWYd68efj973+Pffv2YdKkSZg1axYKCwsBAFar1eE5Qqgc9M0mYPk9wOn1zMX/lv+5TDsdK28EAGy3DGJ3nN3suNG5bQCs7CDkLOql0TBLjSm/Z6LNGUNvADR6lgZyNl8zLoutPSxGPkAShJK+lwPzDgJTnw3s6yQpGgWkCJq7FOegwK6JIIgugdcpzszMTOzfvx///e9/sXfvXlgsFtxzzz245ZZbEBkZGYg1hhyzZs3CrFmznD7+6quv4p577pEK/xcvXow1a9bgzTffxMKFC5GVlWUTMSsuLsb48c5FSXt7O9rb26XbDQ0NfvgtHCmra8b5j+7BsOpvAW0Y8Kv/MNHkguOiQPvJMgg3YyMsZ7c4qv4CUbTlXdLxRab0Be7/wXURdVgUcPuXrDtPH9Hx1yS6J50x45F3cpYdYPWWgHoELSoJyBwFNFUA6YMDvy6CIEIerwUaAERGRuLuu+/G3Xff7e/1dHkMBgP27NmD3/3udzb3T58+Hdu2MY+jcePG4dChQygpKUFcXBxWr16NP/7xj073uXDhQvzpT38K6LoBQDi8CsOqv4UJGuhuWAr0mez2Occr2EFnh4XVzQjlB4DWOlsBxaNqvSb5Z6EZHqSlcgI8KoggPIFHcMv2s8vIRHYCocY9awGrGdCFd8rSCIIIbbxOcWq1WkyePBk1NTU291dUVNAkAQBVVVUwm81IT7etj0pPT0d5eTkAQKfT4ZVXXsHkyZMxcuRI/Pa3v7WxLLHn6aefRn19vfRTVFQUkLWHDb8eb5lmY77hIRj7Oo8QKuERtAok4YwlA4LVAhQq6tCaq2X7AH8JNILoKvAUp9XCLtWiZxytjsQZQRASXkfQrFYr2tvbMWbMGHz55ZcYMmSIzWMEw76mzGq12tw3Z84czJkzx6N9hYeHIzw88F/cCVFheMl8MyxW4A/NBqTFuU4PWq1WnBAFWrhOg+2WQeitKWcpzf6iwDu3hV2mDgRiUgO5fIIIPWLSWT0k9+5zJdAIgiAUeB1BEwQBy5cvx+zZszFx4kR88cUXNo9d6KSkpECr1UrRMk5lZaVDVC3U0GgEJEYxf7uaFoPb7UvqWtHYboJOI2B4doJ6o4BUf0bRM+ICRBDkOjRA3WKDIAhCBa8FmtVqhVarxT/+8Q+8/PLLuOmmm/Diiy9S9EwkLCwMo0ePxtq1a23uX7t2LSZOnBikVXlOUrQo0JrcCzSe3uyTGoO0uHD8JNahofwgs9YA/F9/RhBdjSSFQKMIGkEQHuJTkwDn/vvvR79+/XD99dfjxx9duMh3M5qamnDq1CnpdkFBAfbv34+kpCT07NkT8+fPx2233YYxY8ZgwoQJePvtt1FYWIgHH3wwiKv2DC7QqpvdCzRusdE/IxaJUXqcRyKqI3KR3HaOWWtkjwXOHwMgAL1+EchlE0TokthLvq5msUEQBKGC1wItNzfXphngsssuw/bt2zF79my/LiyU2b17NyZPljsc58+fDwC44447sHTpUtx0002orq7G888/j7KyMgwZMgSrV69Gbm5usJbsMckxYgTNA4F2XCHQTGYWQT0ZNYIJtLNb2CgogJmBBtqxnSBCFaUXH0XQCILwEK8FWkGB47Ds/Px87Nu3DxUVFX5ZVKhz2WWXuU3pPvzww3j44Yc7aUX+g9egeRJBOyFabAzIiEVZPRNjP+uG4iJ8wWrPjK1sQ6o/Iy5kkqgGjSAI7+lQilNJREREl4gQEa5J5jVoze0utzOaLTh9ng0/758RC4OJ2QjssAzCAwBQcRBoqWIbU/0ZcSEjRdAEIDbT5aYEQRAcjwRaUlISTpw4gZSUFCQmJrrs1rT3RyO6FrwGrbbZ6HK7M+ebYTRbEROuQ1ZCJEpqWbSsoC0aSOkPVB0HGssAQQPkhn5zBEEEjIRc4OLHgYgEmmxBEITHeCTQFi1ahNjYWACwGZROdD+SYpjfWrWbCNqxcjZuql96DARBkGrXqpvagQG/YAINADKGuR7LRBDdHUEApj0f7FUQBNHF8Eig3XHHHarXie6HnOJ0XYMmNwjEAQCSopmwa2gzwdjzF9Dvfo9tSPVnBEEQBOE1Hgk0b4Zzx8XF+bwYIvhIRrUeCrQBGSyymhCph0YALFagNm0s0viGeZcCYP55+4rq0D89FtHhfit9JAiCIIhuiUdHyoSEBLdTAvgoI7PZ7JeFEcGBpyprW4ywWKzQaNT/7koPNIBNIUiKDkNVkwFVlnikjboDqD4t+Z9tOFaJez7YjRtGZ+PvNwzvhN+EIAiCILouHgm0jRs3BnodRIjAI2hmixX1rUYkiilPJY1tRpTUsaYAHkEDIAm0mmYDMOefNs85WFIPANhbWBuopRMEQRBEt8EjgXbppZcGeh1EiBCm0yA2QofGNhNqWgyqAu1EBbPXSI8LR0KU/Lg8hcCxwaBY7PI8V90Co9kCvdbrKWMEQRAEccHgczFQS0sLCgsLYTDY1ioNGzasw4sigktydBgTaM0G9El1fJzXn/VLj7V7HmsUUKtfK6ppAQCYLFacq25GflqswzYEQRAEQTC8Fmjnz5/HXXfdhW+//Vb1capB6/okRYfhbHULqp0MTD8uWmwo05v8eQBUn8cjaABwsqKJBBpBEARBuMDrPNO8efNQW1uL7du3IzIyEt999x0++OAD9O3bF19++WUg1kh0MklurDaO2Vls2D/PfkyU0WxBWb0s0E5VNvltrQRBEATRHfE6grZhwwZ88cUXGDt2LDQaDXJzczFt2jTExcVh4cKFuPLKKwOxTqITSXIx7slqteJ4ha3FBiclRv15ZXVtsChGl546TwKNIAiCIFzhdQStubkZaWnM5SopKQnnz58HAAwdOhR79+717+qIoMBNZ9UGptc0G1DXwsZA5afFqD7PPvJWVNtic/tkBQk0giAIgnCF1wKtf//+OH6cjfEZMWIE/vWvf6GkpARvvfUWevTo4fcFEp1PsjSP03ktWXpcOCL0WpvHnKU4i0WBlpscBQA4U9UEizKkRhAEQRCEDV6nOOfNm4eysjIAwLPPPosZM2bgk08+QVhYGJYuXerv9RFBwJnQAmSBlp0Y5fBYcox67VpRDXvOxD7JKKtvQ5vRgpK6VuQkOe6DIAiCIAgfBNott9wiXR85ciTOnj2LY8eOoWfPnkhJSfHr4ojg4KpJgKcrsxMjnT6vrsVo43VWJEXQotE7JRrHyhtxsrKRBBpBEARBOKHDbqFRUVEYNWoUibNuhCuBxtOVOSoRtMSoMPCJYLUtBsVzeNQtEn3EujXq5CQIgiAI53gdQbNarfj888+xceNGVFZWwmKx2Dy+YsUKvy2OCA7KFCefscpRii17tBoBiVFhqGlm457SYiMAyCa1OYlR6EsCjSAIgiDc4nUE7fHHH8dtt92GgoICxMTEID4+3uaH6PrwWjKDyYJmg63xMBdbajVogCL6JprVthnNqGxkths5SVFS5ycJNIIgCIJwjtcRtI8//hgrVqzAFVdcEYj1ECFAVJgOEXoN2owW1DYbEBPOPiZWq9VlBA1wbDDgQ9Wjw7RIjNJLAu1kZZNDdI4gCIIgCIbXEbT4+Hj07t07EGshQohkFS+0qiYD2k0WCAKQmaAu0JKlcU8saqaMuAmCgLyUaGgEoLHNhPONjka4BEEQBEH4INCee+45/OlPf0Jra6v7jYkuS2K0HoDtVADeIJARF4EwnfpHx77BoEiMuOUkMUEXrtMiNzkaAKU5CYIgCMIZXqc4b7jhBvz3v/9FWloaevXqBb1eb/M4TRPoHkjTBBSDz4vcpDcBRQRNFGjFtY41a31SY1BQ1YyTlU2YmE/dvwRBEARhj9cC7c4778SePXtw6623Ij09nWqIuinJKlYbriw2pOfF2I57Kq5xFHX5aTFYd7SCImgEQRAE4QSvBdo333yDNWvW4Be/+EUg1kOECGpeaO4aBJTPs4+gKU1pyWqDIAiCIFzjdQ1aTk4O4uLiArEWIoRwLdBcRNCc1aApniNZbZwngUYQBEEQangt0F555RUsWLAAZ8+eDcByiFBBVaDVOB/zJD0vRu7ibG43Sc/PTpKfw6cJnG9sR32L0b8LJwiCIIhugNcpzltvvRUtLS3o06cPoqKiHJoEampq/LY4InjYpyotFiuK63hHpvMImjSPs9WIc9VM0MVH6hEXIX9OYsJ1yIyPQGl9G06db8To3KSA/A4EQRAE0VXxWqAtXrw4AMsgQg37VGVVUzsMJgs0ApARH+H0eYlR7HlWK3CopB6AbLGhpE9aDBNolU0k0AiCIAjCDq8EmtFoxA8//IBnnnmGzGq7Oc78zHrER0KvdZ4Z12s1SIjSo67FiP3FdQDUuz7z02Kw+WQVTlZQHRpBEARB2ONVDZper8fKlSsDtRYihOCTBJraTWg3maVuzCwX9WccLu5+LqoDoJ4S7ZsWC4AaBQiCIAhCDa+bBK655hqsWrUqAEshQom4SB20GuZxV9tslDo4XXmgcXh69Hh5IwD1pgIamk4QBEEQzvG6Bi0/Px8vvPACtm3bhtGjRyM6Otrm8ccee8xviyOChyAISIwKQ1VTO6qb2xUTATyPoJksVgDOU5wAs+5oMZgQFeb1R5EgCIIgui1eHxXfffddJCQkYM+ePdizZ4/NY4IgkEDrRiRHM4FW02zwyKSWw8dEcdSaBJKiw5AUHYaaZgOOljVidG6ifxZNEARBEN0ArwVaQUFBINZBhCDKRoGiGseZms7gKU5OVoL6cyb0ScY3B8rw9qbT+NdtYzq4WoIgCILoPnhdg6bEarXCarX6ay1EiMFNZ883tqNE8kBzH0FLjpEFWkpMOCLDtKrbzZvaFxoBWHO4AnsLa/2wYoIgCILoHvgk0D788EMMHToUkZGRiIyMxLBhw/DRRx/5e21EkOGRsGPljTCardBqBGTEOfdA4yQpImiuBF3f9FhcNyobAPC3b4+R2CcIgiAIEa8F2quvvoqHHnoIV1xxBT777DMsW7YMM2fOxIMPPohFixYFYo1EkOCmswdEP7Me8RHQufBA4yQratDcdX3Om9YPYToNdhTUYNPJKt8XSxAEQRDdCK9r0F577TW8+eabuP3226X7rr76agwePBjPPfccnnjiCb8ukAgePFXJrTA8aRAAbCNo7p6TlRCJ2y/KxbtbCvDSd8cwKT8FGtHewxknKhoRG6FDj3jP1kMQBEEQXQ2vI2hlZWWYOHGiw/0TJ05EWVmZXxZFhAZcaIluGR55oAG2NWiu5nZyHp6cj5hwHQ6XNuCbg64/Q6V1rbjqtS248/1dHq2FIAiCILoiXgu0/Px8fPbZZw73L1u2DH379vXLoojQIMmuG9OTDk5ATo0Cnom6pOgw3H8JGx32yvfHYTRbnG67+1wtDCYLjlc0oqHN6NF6CIIgCKKr4XWK809/+hNuuukmbNq0CRdffDEEQcCWLVuwfv16VeFGdF2S7fzMPE1xhuk0yEqIRFl9K/qkRbt/AoB7fpGHD386i7PVLVi2qwi3XpSrut3h0nrp+pnzzRiRk+DR/gmCIAiiK+F1BO26667Djh07kJKSglWrVmHFihVISUnBzp07cc011wRijUSQsI+geZKu5Lx/51h8fM94j+vEosN1eHRyPgDgo5/OOd3ucEmDdP00jYkiCIIguik+zdcZPXo0Pv74Y3+vhQgxEqL0Nrc9jaABQP+MWACxXr3eVcMz8dxXR3CikqUv4yJsX99qtdpE0E7ToHWCIAiim9Iho1qie6PXahAfyUSSTiMg3QMPtI6QEhOOnklRsFqBn4vqHB4vrW9DbYtcd0YCjSAIguiueCzQNBoNtFqtyx+djgZedze4WW1mQiS0buwv/MHIngkAgH2FdQ6PHS5h0TNBXMbp880BXw9BEARBBAOPFdXKlSudPrZt2za89tpr5ATfDUmKDsOZqmaPRjz5g5E5Cfhif6nq6KdDpaz+bGKfZGw9VY1z1c0wmi3Qe2CeSxAEQRBdCY8F2tVXX+1w37Fjx/D000/jq6++wi233IIXXnjBr4sjgg9vFMh2MvDc34zKTQTAImhWqxWCIEfteARt6oB07CusQ4vBjKKaFvROjemUtREEQRBEZ+FT6KG0tBT33Xcfhg0bBpPJhP379+ODDz5Az549/b0+Ishw77P8tM4RQQMy4hCu06C+1YiCKtsU5mExgjY0Ox55Kcy+g9KcBEEQRHfEK4FWX1+Pp556Cvn5+Th8+DDWr1+Pr776CkOGDAnU+ogg88jkPvjbdUMxd3zniO8wnQZDs+IBAHsVdWhVTe0ob2iDIAADe8Shjxg1o0YBgiAIojvisUB76aWX0Lt3b3z99df473//i23btmHSpEmBXBsRAiTHhOOmsT0RHd55DSByo4Bch8ajZ3nJ0YgJ18kCjbzQCIIgiG6Ix0fd3/3ud4iMjER+fj4++OADfPDBB6rbrVixwm+LIy5MRvVMBFBg08l5SKw/GyxG1/iEAoqgEQRBEN0RjwXa7bffblOwTRCBYmRP1ihwrLwBze0mRIfrcESMoA3OjAMARYqz2aGZgCAIgiC6Oh4LtKVLlwZwGcQ111yDH374AVOnTsXnn38e7OUElYz4CPSIj0BZfRsOFNdjQp9kHBInCAzJZBG0vJRoCAJQ32pEdbMBKTHhrnZJEARBEF0KMpAKER577DF8+OGHwV5GyDBKjKLtK6pFQ5sR56pbAMgRtAi9Vho9dYY6OQmCIIhuBgm0EGHy5MmIjfVudmV3RjlRgKc3sxIikagY4E6dnARBEER3JSQEWmNjI+bNm4fc3FxERkZi4sSJ2LVrl8vnPPfccxAEweYnIyPD72vbtGkTZs+ejczMTAiCgFWrVjls88YbbyAvLw8REREYPXo0Nm/e7Pd1XGgoOzl5g8AgMXrGoU5OgiAIorsSEgLt3nvvxdq1a/HRRx/h4MGDmD59Oi6//HKUlJS4fN7gwYNRVlYm/Rw8eNDptlu3boXRaHS4/9ixYygvL3f6vObmZgwfPhxLlixRfXzZsmWYN28efv/732Pfvn2YNGkSZs2ahcLCQmmb0aNHY8iQIQ4/paWlLn+/C5nBmfHQawVUNRmw5jD7+/D6M07v1I51closVlgsNJ6MIAiCCD2CPt28tbUVy5cvxxdffIFLLrkEAIuOrVq1Cm+++SZefPFFp8/V6XQeRc0sFgseeeQR9O3bF59++im0Wi0A4MSJE5g8eTKeeOIJLFiwQPW5s2bNwqxZs5zu+9VXX8U999yDe++9FwCwePFirFmzBm+++SYWLlwIANizZ4/bNRK2ROi1GJQZj5+L6rDrLPNDG5LlJILmYw3are/twNmqZnw//1LEdKLPG0EQBEG4I+gRNJPJBLPZjIiICJv7IyMjsWXLFpfPPXnyJDIzM5GXl4df/epXOHPmjOp2Go0Gq1evxr59+3D77bfDYrHg9OnTmDJlCubMmeNUnLnDYDBgz549mD59us3906dPx7Zt23zapytef/11DBo0CGPHjvX7vkORkTkJNrcH20XQuEArqm1Bm9Hs1b7L69uw7XQ1SuvbcKC4riPLJAiCIAi/E3SBFhsbiwkTJuCFF15AaWkpzGYzPv74Y+zYsQNlZWVOnzd+/Hh8+OGHWLNmDd555x2Ul5dj4sSJqK6uVt0+MzMTGzZswNatWzF37lxMmTIFU6dOxVtvveXz2quqqmA2m5Genm5zf3p6usu0qRozZszADTfcgNWrVyM7O1u1Bu+RRx7BkSNH3NbndRf44HQASIkJQ3qcrZVGSkwY4iJ0sFqBs9XeRdH2nJOnFJysoBo2giAIIrQIukADgI8++ghWqxVZWVkIDw/HP//5T8ydO1dKRaoxa9YsXHfddRg6dCguv/xyfPPNNwDgdMIBAPTs2RMffvghli1bBp1Oh/fee88vBqf2+/DFOHXNmjU4f/48WlpaUFxcfMFEyVyhjKANyox3eE8FQUCfNN4o4LtAO17R6PsiCYIgCCIAhIRA69OnD3788Uc0NTWhqKgIO3fuhNFoRF5ensf7iI6OxtChQ3Hy5Emn21RUVOD+++/H7Nmz0dLSgieeeKJD605JSYFWq3WIllVWVjpE1QjvyU6MlAxoh9h1cHJ8tdrYU6iMoJFAIwiCIEKLkBBonOjoaPTo0QO1tbVYs2YNrr76ao+f297ejqNHj6JHjx6qj1dVVWHq1KkYOHAgVqxYgQ0bNuCzzz7Dk08+6fN6w8LCMHr0aKxdu9bm/rVr12LixIk+75dgCIKAaYOY0L20X6rqNr4ItFaDGYdF6w4AOF7eCKuVujmJzsNotmDX2RoYTJZgL4UgiBAlJATamjVr8N1336GgoABr167F5MmT0b9/f9x1110AgCVLlmDq1Kk2z3nyySfx448/oqCgADt27MD111+PhoYG3HHHHQ77t1gsmDlzJnJzc6X05sCBA7Fu3TosXboUixYtcrq2pqYm7N+/H/v37wcAFBQUYP/+/ZKNxvz58/Huu+/i/fffx9GjR/HEE0+gsLAQDz74oJ/enQubZ2cPwqbfTsb43smqj/fxwWrjQHEdTBYrUmLCoBGAhjYTKhvb/bJegvCED7adxQ1v/YT3txYEeykEQYQoIeEtUF9fj6effhrFxcVISkrCddddhz//+c/Q6/UAWPTr9OnTNs8pLi7GzTffjKqqKqSmpuKiiy7C9u3bkZub67B/jUaDhQsXYtKkSQgLk53ohw4dinXr1iE5Wf3gDwC7d+/G5MmTpdvz588HANxxxx1YunQpbrrpJlRXV+P5559HWVkZhgwZgtWrV6uug/CeCL0WPZOjnD6urEGzWKzQaNzX/vH05ri8JBwrb8SZ8804Xt6I9LgIN8/sGKE21L2uxYDIMC3Cdc5rPYnAcEJMqx8rawjySgiCCFUEK+V2uhwNDQ2Ij49HfX094uLUa7MuFIxmCwY+8x1MFiu2/W4KMhMi3T7n3g92Yd3RSvzhyoHYc64W3x4qxx+uHIh7J/UO2DpX7ivGi18fxZu3jsa4vKSAvY6nVDW145KXNmJIVjw+e2BCsJdzwXHXv3di4/HzGJeXRO8/QVxAeHP8DokUJ0H4il6rkSJsnqQ5rVar1ME5plcS+qaz+acnAtwo8PXPZahulqciBJuDxfVoMZixv7CO6u+CwPkmllIvq28N8koIgghVSKARXR7eKHC83L3IOlPVjNoWI8J1GgzqEYf+kkALrBdagejTdjJE5oaeqWLrMZgtqGk2BHk1Fx5Vjew9r6hvp3FjBEGoQgKN6PKM68VShl8fcG5szOHRs+HZCQjTadAvnYm7kxWB6+Q0mS0orG4BEDqD3Quq5HWUN7QFcSUXHhaLFVViBM1gtqCaBDJBECqQQCO6PL8cmQWdRsD+ojq3qcq9okDjUwp6pURDrxXQbDCjpC4w6abi2laYxChJSV0rmtpNAXkdbyioko19K0igdSp1rUbp8wCwsWMEQRD2kEAjujypseGYMiANAPDZriKX2+7m9WeiQNNrNeidwqJogapDK7AbQxUKUbQCxYD58nqyGOlMzttZupRSHRpBECqQQCO6BTeOyQEArNxX4tT8s67FgFOiOFLO+eyXwerQjpcHRjgpxRAQ/Dq0VoMZpYqoDaU4Oxd7gUYRNIIg1CCBRnQLLuufitTYcFQ3G7DhWKXqNvsK6wAAvVOikRQt++H1S5Pr0AKB/SD3k5XBHS1lv54KEgidyvkm2/ebImgEQahBAo3oFui0Glw3KhsA8Nlu9TTn7nM1AGyjZ4AighaoFKdY7zU0Kx5A8FOcyvozgCJonQ1F0AiC8AQSaES34YYxTKD9cLxStfCdd3COthdootXGqcommANgeXBGTHFOF+eK+jvF2dxuQlFNi8fbc4HGB9FTk0DnwgVaj3g2uaKsjt5/giAcIYFGdBv6pMZgbK9EWKzA53uKbR4zmi34uYgNSB9jJ9B6JkUhXKdBu8mCQi+Ejie0Gc1SCmvaYCbQCmta0GY0++017v1gNy75+0bJysMdXDBO6MNGnFEErXPhAm1YNouoljVQipMgCEdIoBHdihvEZoH/7S6y8TU7VtaIVqMZcRE6ydiWo9UIyE8LTCdnYU0LrFYgNlyH/umxSIjSw2r1bri7KxrajNhRUA2r1fMU7RnRA22COIC+rsXoV8FIuIZPERiWnQCApTjJrJYgCHtIoBHdiiuH9kB0mBZnq1uw62wtWg1m/G93EZ5eeQAAqz9TG6guTRTwYBqBN/BoVV5qNARBQF9RCJ7yU5pz77la8GN7dZNndhk8xTkiJwHhOvYVQGnOzoNH0AZlxkEjAEazlcxqCYJwQBfsBRCEP4kO1+GqYZlYtrsIv1t+AOcb29EoGsNqNYLUSGAPbxQ44ef6MN4x2Ss5GgCQnxaLXWdr/SbQdp2tka5XeSDQapsNqGsxAgDyUqKRER+Bc9UtKK9vQ664RiKwcIGWGR+J1NhwVDS0o6y+Famx4UFeGUEQoQRF0Ihux41jWZrzTFUzGttNyEmKxG9n9Me2303B7OGZqs/hI5/8HUHjHmh5KUz89JUsPfwl0Gql61VN7qMwfAZnZnwEIsO0SI9jhepUh9Y5GEwW1IoCOTU2HD3iIwEAZdTJSRCEHRRBI7odo3om4KHL+qCivg3XjsrGxD7JqmlNJbyT80xVE4xmC/Ra/5y78CkCXKDxWjd/eKG1m8zYX1Qn3fYkgsbTm3mpbD0ZokCjFGfnUN3M/kY6jYCESD16xEdgfxFQFqAxYwRBdF1IoBHdDkEQ8NTMAV49JyshEtFhWjQbzDhb1Yy+omDrKJIg4hE0MVJ3troFBpMFYTrfheChknqbqQnVHkTQ+JB0vp4M0eqBxj11Djy9mRITDo1GkCNoJJAJgrCDUpwEASbquCg74af0Y2ObUTog90qRI1Yx4TqYLVacs3P095adBSy9mRClB+BlBE2cP5pOEbRORRJosWySBXmhEQThDBJoBCHC69D8NVHgnOhLlhwdhvhIJqIEQVCkOTsmBHeLDQLTBjJ/NU86AXlXae8U2xSnP2vQ2oxmLFp7osONEFarFW/+cBobjlX4aWXBhwu0VNEkuEcCj2CSQCMIwhYSaAQhwuvQVu0rQakfaoLO2KU3Ofl+aBSwWKzYLU5GmDU0AwBQ22KAyaw+KJ4/56xdTVxGPBMK/hQIH28/h3+sP4mXvjvWof0cLKnH3747hv9bcchPKws+kkATOzZ5BI3mcRIEYQ8JNIIQuXpEFjLjI1BY04Ib3vrJYWalt5wVn9/LTqD19UOjwInKRtS3GhEVpsXF+SkQBMBqBWpanEfRyhva0Ga0QK8VkJ3Iap94irOysc3G2Lcj8JFaHY1EHhc7aisa21wKz64ET0PLAo39HSoayKyWIAhbSKARhEhqbDj+99BE9E6JRkldK2546yccLWvweX/2DQIc3ijQkRQgt9cY1TMR4TotkqJYTZOrRgG+np5JUdCJXappsUygGc1W1PjBLNVqtWJvIVtbUQdHWp0W07FWq2fpW29obDPi5TXHcdLPkyPcwacI8BRnamy4ZFZb1UyNGgRByJBAIwgFWQmRWPbABAzsEYeqpnbc9K+fJMHhLc5SnH3TYqXHfY0M7Spg9WdjerG5onzwuatGgTN2DQIAEKbTICWGiTtP6tDOVjXjgY9241i5unAtq29DRQNbg8Uq1+H5gnIcVmWDf8XL53uKsWTjKbzy/Qm/7tcdcoqTCWO9ViNF06hRgCAIJSTQCMKO1NhwfHr/RRidm4iGNhNufXcHTrlIR5rMFlTaiRur1YqC87aWFpyshEhE6DUwmCwoqm21ec7JikaYPUh18QaBcb2SAADJMR5E0HiDQKrterzp5PzXptNYc7gC/1h3UvVxezHbkZmjyueeb/KveDlSygTmKT/NRPUU+xo0AGRWGwSqm9r9PneXIPwNCTSCUCE+Uo+P7hmH8XlJaDGY8X8rD6nWaFmtVjz0yV5ctHA9vj9cLt1f22JEQxsbMdXLboSSRiNIA9t5iq3dZMbDn+zFtEWb8K9Np12urbi2BaX1bdBpBIzomQDAswiavQcaR+rk9MALbe+5OgDAttPVqkJyX2Gdze3TPqZxjWYLChXRN39H0PjBubC6xSNB7C/UBZpotUGNAp3G3Ut3YdY/NqOoxvcIL0EEGhJoBOGEqDAdXrlxOCL1WuwsqMH/9hQ7bPPhT+ew9kgFLFbgD6sOoaGNjfHh9V49xJFK9vRVWG00tZtw17934dtDTOBtO1Xtcl18/ubgrHhEhTGvaR5BczXuyVlNXHq8Z1YbDW1GnBAjifWtRhwsqXfYZp8YQeOWJb5GqM5VN8OkEE6Vjf4TaBaLVfK6M5gtfunY9YTmdhOaDawmTy2CRlYbnYPZYsXh0gaYLVYcKHb8DBNEqEACjSBckJ0YhSem9QUA/GX1UVQrIlQnKxrxl9VHAQBRYVpUNrZL1hLOxBCHm+LuOluDm9/ejm2nq6ETx1EdLq132VHJGwTG5iZK97mLoCnTqb2dRNAq3AiEn4vqoFzWlpPnbR5vN5lxqISlDm8Yzeah+priPFVp20Fb2eg/8VJU24JWRfPCmQ5263oK/9tE6rWIVoh22WrDP7+j2WLtUHNGd6e8oU0S//4YuUYQgYIEGkG44a6L8zAgIxZ1LUb8ZTUTYO0mMx77dD/aTRZc2i8V794xBgDw8fZC7D5bI6UT7S02ONwL7Yfj53GwpB7J0WFY9sBF0GkE1LYYXR6seYPA2Lwk6b4UqQZNXaAV1rBUXnSY1iZ6A3huVsvTm+HieKpNJ6tsHj9S2gCD2YKk6DBMHpAGADhd2eyTfQQXdnyE6nk/RtC4fQenwAsRubewFq98f9wnAaRMbwqCPBtWNqv1TyTvj18cwrDnvu/0DtWuQrEirdlRM2WCCCQk0AjCDXqtBn+5digEAVi+txjbTlfh5TXHcbSsAUnRYfj7DcMwsU8KbhyTDQB4esVBKYVmH63icIEGsKaB/z04AaNzk6T7D6ukDwGgttkgTSAYoxpBU09xKoekK8UBIKc43TUJ8AaAW8bnAmDpzOZ2k+LxOgDAyJwE5CZHQa8V0Go0+zSlgAu0wZnxAPyb4rQvDj/rYaep1WrF/GX78dqGU3h70xmvX1et/gxQRND80MVZ02zAZ7uLYDBbsOFYZYf31x0pVjTmkEAjQhkSaAThAaN6JuKW8T0BAPM+3Y93NhcAAF66bpjkJfZ/VwxEcnQYTlY2Ye0RNp7IWYqzV3I0xuclYVTPBKx4eCJ6i00DXJAcLlW3seDTA/qkRiM5Rj7Q8+vOImhyg0CMw2PpceI0ARdCymKxSvVlvxyZiZykSBjNVuwokOvl+OMjeyZAr9UgV2yO8CXNyT3QJvRJBuDfJoFjYgSNi2dPU5x7ztVKYu7fWwvQYjC5eYYt9h5oHH+a1X71cymMZrYPZ5+hC52iWlmQn6lq7tQmEYLwBhJoBOEhv50xAKmx4VI0Z+74nrh8ULr0eEJUGP44e5DNc5ylOLUaAcsemIAVD18s2VwAwODMOADOD647RUE0TpHeBNi8T4BF0NTq11zVxPEUZ12L0Wnq7kxVExraTIjQazCwRxx+kZ8KANisSHPyDs5RPVlkr49o5+FtlMJqteKM+JyLerPf83xju98mHfAI2owhbEQWF6/u+FzRJFLbYsR/dxZ59brOImhpolmtyWL1aOC9K1bsldd4uJQK4NVQRtAMJgt1chIhCwk0gvCQ+Eg9nps9GADzEvvDlQMdtpkzPBOX9mPiRasRkJMY5dVrcIF2xMnBdYdYfzY+L9nmfp7iNJgtaGx3jOzwIel5KY7riY/US3VlztKcvP5sWDaLjl3SNwWALNAqG9pQUtcKQQCG5SQAgGQl4m0ErbKxHY3tJmgEYKzo82YwW1DfavRqP2oYTBbpvZg5mAm0ktpWtJtc15S1Gsz4+kAZAOCakVkAgHc2nYHB5LnRsDOBptNqpChsR7zQTlU24ufieqlu70xVs9dRvguB4lpbQXYyBNKcbUYzVuwt9mutJdH1IYFGEF5w5bAeWPXIxfj8wYmSxYUSQRDw4i+HID0uHJP7pyFM592/2CBRoJXWt6HWbrxRY5sRh8TatPG9bSNokWFyZ2CVype8PCTdMcUpCAIyuNWGE4HA6894dGxinxRoBBYdK6tvlerP+qfHIiacvS+SQKv0rkuSe6f1TIpCbIQe8ZF6AP5pFDhT1QSTxYrYCB2GZccjJlwHixVuoyjfHylHU7sJOUmRWHjtUKTHhaO8oQ0r9zlarzjDmUADIL3/HfFCW763BAAwZUAa0mLDYbUCR8uoUcCeohr2HvN5tKFQh/bZ7iLM/+xnXPPGVoroERIk0AjCS0bkJCBJTCmqkZMUhS1PTZE6O70hNkKP3GQW5bJPc+4+VwuLlQkXXrekJEU88NvPrWxuN0njl/KS1VOu6W46OfkA9FGiMW58lB5Ds9n1LSerFPVncuMCb3hQi6A1t5uw4POfsUZh7svh2/Pnp4m/lz8aBXgHZ//0WAiCgF5iRJFH1ZzB05vXjsxGhF6L+yb1BgC89eMZj2uYnNWgAUBmQsciaGaLFStFgXbdqGy3kdgLFZPZIn3GL+vPIt2hYLWxv6gOAEu//urt7TYmzcSFCwk0gggAeq3v/1pyHZrtwXXHGZ7eTHJ4DqCoQ7MTMjx6lhQdhvgovepzM1yMe6pvNUppoFGKztFJ+SzNueVUlVR/NlIUcIA8UqqysV0y8OV8vqcYn+0uxjOrDjkUxvMGAR6BS5UEWse7HHn9Wb8M5kPHI4oFLhoFyupbseUUS+VeN4p16t48ricSovQoqGrGt4fKPHptHkFLUYugxXVs3NO201Uob2hDfKQeUwamuW02UWPDsQpsP+PaJLmrU1bfBrPFijCdBhN6s8+vr9Mu/MkxMdIZFaZFSV0rbnr7J5efSeLCgAQaQYQYzg6uvGNyfO9kh+cACqsNuwja2Sp2Nt4r2Xk9nJzidIxS8bP7nklR0msAwCRFHdqBErbNKEUELTZCL3WI2h8EuaipbGzHviL1+Z1coEkRND90ciojaIDcNMFFrBor9pbAamWNGT3F9zA6XIc7J/YCALy+8bTbBgaLogFALcXZ0QjaCjF6Nnt4D4TrtJLIP+RhBK26qR33fbgHt7+3s1vXQfEOzuyESPTPEKddVDb5rQHFF4xmi5Rm/eie8chPi0FZfRt+9fZPHZplS3R9SKARRIgxSCWC1mIw4aA4lsZpBM2J1YYriw2Oq4Hpe+3Sm5yRPRMRFaZFTbMBbUYL4iJ0Dr5vcqOALICqm9qxU2x2AIBvD9qmObmY65PG9pUmrs0fwuE4j6CJAk2y2nCS4rRarVgupjevH51t89idE3shKkyLo2UN+OHEebWnS9S3GiX7C24qrESqQfNh7FRTuwnfiWPCeISPi/wT5U0wmt03MpTUtcJsscJgtuB/e7zrTu1K8A7OrMRI5CZHQ6cR0GwwB3VQfUFVMwxmC2LCdRjVMwH/ve8i9E+PRUVDO2586yd8sb8kqAKSCB4k0AgixODRD2UX3p5ztTBZrMiMj5CKm+1JleZx2gs0FjVQ6+DkuJomIDUIKNKbABCm0+AiRTRvZM9EaDS2JrhqnZx8dilvoPjucLl0AGpuN0lTFBwiaB0UaM3tJqlAvL+Y4uQ2KM7SSfuK6nCmqhmRei2uGNrD5rGEqDDJG2/x2hMwuRBCvP6Mdcw6zmblNYW+CIVvD5ah1WhG75RojBA7aHOSIhEboYPBbMHJCvdRmApFdPK/Ows77McWqnCBlp0YBb1WI/39g9kocLSMRcr7Z7C6yNTYcPznvvEY1CMO1c0GPP7pftz8znaHCRhE94cEGkGEGGmxEUi168KT6s96JztMAuDIETS7FKeYvnPmyQYAGfGiWa2dQLBYrFKKU5m+5PxCrEMDbOvPONwLTZni/E5sDLh/Um9E6DUorm2V0rk8kpUSE4aEKCY4/VWDxuvPUmPDpSYP3jRR2diOJhV7Et4cMGtIhtSdquS+Sb0RE67Dz8X1WLzupNPXrnLRwQnI0wQqGtq8Nk5dLnqfXTc6W/psCILgtJZRDWXktKimFZtPVbnYuuP8XFSHJRtOurU38Td8zBM/yckXTwKCabXBjZMHiCcNAPtfXvHwRMyf1g/hOg22n6nBFf/cjBe+PqL6OSW6JyTQCCIEse/Ck+rPnKQ3AecD03l0qJeTDk5ATnFWNtq62Z8634TGNhOiwrQ2BxAOr0MDbDs4Oflp7Dk8glbfasRW8eD/y5FZuKwfm9nJU3R8Oz5ZAVAKtI5F0LhA4/VnAOtG5c0VZ+2iaG1GM776uRSAY3qTkxYXgb9cOxQA8PoPp7DlpLqwcdXBCbAooU4jwGSxSlYq7jCZLVi1rwTbz9RAENj7qcSbRoFKUaBx7f/J9nMercFXnvvqMF7+/gQ+2HY2oK9jD4+g5SSxaDLvFA5mBI1Hxgb0iLO5P0KvxWNT+2Ld/EsxY3A6zBYr3ttSgKdXHAzGMokgQAKNIEIQ5USBNqMZPxdx/zP1BgEASJYGpssRtPpWI2rEpgFnY6cASEapRrMVNS3y83n92bDseOhUOlPz02IwOjcRWQmRGJ3rKNB4Hdm56hYYzRZsPFYJo9mKvmkxyE+LwayhzCyWNw3YNwgo19bRGrTj5Wzf/dJthaazNOe6oxVobDMhKyHSJpVrz5zhmbh5XE9YrcC8ZftVI32uPNAAZlZ75TCWQn35++Muf482oxmf7DiHqa/+iHnL9gMApg5IQ1aCbepbFvnuBRpPcc4ZngkAWH+sUtWTbf3RCkm0+orVasUJUZS8t6XAK7PfjccrsftsjfsNncBNankErW869+oLYgRNTHEOVDkBApiY/NdtY/DWraMBAGsOl1MU7QKBBBpBhCDK6MfewloYzBakxYa77MTkEbTziggajwqlxYYjWiVFxwnTaaTidWWa096g1h5BELDs/ovw428vU00BZsRFICpMC5PFinPVLZIQmymOWZo8IA16rYDT55txqrJRIdBkMclFTWObyekoKk84XsEOhPaRwDwnAm3VPiZErh6R6VBbZ8+zswehf3osqpra8cSy/Q5pSncCDQB+M60/9FoBm09WOY3ErdpXgkkvbcTvVx7CueoWJEbp8cTl/bDophEO2/LP0JGyBrc1ZRWiqLy4TwrG5SXBbLFi2S7bZoFvDpThng9249f/3Ycf3TRFuHythnY0G8zS9S/2l3j0vMLqFtyzdBfueH+nT6lRg0n2QOMCrY+U4gxOfVd9i1GqueznRKBxZgxOR15KNAwmCzZ14P2/0DCZLV1W0JJAI4gQhEc/jpc3SilBV/VngNwd2Nhmkg5gUnrTRfSMw9OcZ6qaceZ8E3acqcZ2sfbNmUADWPRHLboGMAHHD4KHSuqlAzsXaHEReqmO7duD5VKqqU+aHEGLi9BJo6g6YrUhRdCcCDRlirO22YAfjlcCkEc7uSJCr8Xrt4xEpF6Lraeq8eYPp2we90Sg9UyOwi3jcwEAf/3uqIOo+vHEeTzx2X6cb2xHj/gI/PGqQdj6uyl4/PK+iI1w9LfrkxqNcJ0GTe0mnHPjTs8jaGlx4VLjw7JdRVLjw55zNXjis/3S9n/84pDPYtneOuLtTWc8akrYeLwSFivQbDB7FBW0p6y+FRYrEK7TSKnmPqkxEAQ2W9W++7kzOFbOfo/sxEjEqfwNlQiCgOni7F81g2dCndvf34kJC9c7TGbpCpBAI4gQJCcxCrHhrAvvs92sCNxV/RnAxI5OjPTwNCcXaPb2F2rwTs7H/rsPU175ETe9vR2F4oFdrQHAU3g07P2tBWgzWpCTFIlBinobLta+OVgmebblK1KcgiAgLa5jjQLVTe1SbV7fNFu7EclqQyHQvjlYBpPFikE94tA33XVkg5OfFosXfjkEAPDq2hM2Y6Dc1aBxfj0lHzHhOhwqacDXB2UD3LNVzfj1f/bCamX1cD/+djLu/kWe6rgxjk6rkaKF7hoFeA1aelwEZg7JQFJ0GMrq27Dx+HmcrWrGvR/shsFkwZQBaUiPC8e56ha88cNpl/t0BhdoF/VOQmy4Dicrm7BRFMOuUEbtuDGyN8gdnJHSiU5kmFaKpgWjUUBuEIhzsyVj+mAm0DYcq/QqNXyhYrVasedcLRrbTDjgYW1nKEECjSBCEI1GwEAxisajLxf1di3QNBrBoQ7Nkw5OzoQ+cp1VTLgOeSnRGNcrCf93xQCpQ9QXeCH2AdHHbdaQHjaRwGmDMqAR2MHKYLYgXKdxqKfqaB3aCdFqIicp0iHV20vyQpMNS1ftY2k3T6JnSq4fnY3rR2fDYgWeWPYz5n+2H03tJo8iaADr3nvgEjZG6uU1x2EwWdDcbsL9H+1GQ5sJI3sm4M/XDPF4xusgDxoFDCaLNB4sPS4C4TotbhCbIt7ZdAZ3Ld2F2hYjhmXHY8nckfjjVYMBAG/9cBpnfDBS5fVeI3ISMfciFq37149nXD6nzWjGttNy2nef2FnsDXL9mW2ZAD8ZCEajAI+gDezh2UnAiJxEpMSEo7HNJDUOEc5pNZrRLgpZ+yagrgAJNIIIUXiaE2DpS2XhvDOSo207Oc960MHJuXdSb+z5w+U48vwMHPrTDGx88jJ89uAE3H9JH1+WL2G/7hmDM2xuJ0WHYXyeLA57p8Y41HzxyJOvnZzHxQNh/3THSAV/bxraTKhtMaKopgW7z9VCEIDZYtG8N/z12qGYd3lfaATm8H/VPzdLA7DdCTQAuGdSHlJiwlFY04L/7DiH337+M05UNCE1Nhxv3Tpa1UfNGcpmE2fw6J5eKyBRHAV28zgmnHaerUFBVTOyEiLx7h1jEBWmwxVDM3BJv1QYzBb88YvDXpuoyqO8onH3xXnQawXsPFsjzXtVY9fZGrQZLVKXKZ/96g32Q9I5PEIaDIHGbXT6u6k/42g1AqYNYp3P3x+uCNi6POX1jafwyCd7O1QbGkiUDVNdcXQWCTSCCFF4kTfAxgy5qj/j8DmPVU3tsFqtUtqud6p7gQawCI6rtJkvKOvJ0uPCMVI0U1XCuzkB2wYBjqsUZ0FVsySAnHFcjKDx8T5KIsO0yBR9yAqqmvGl2KU4oXey5PDvDTqtBvMu74dlD0xAVkIkzla3SEXxngi0qDAd5l3eFwDw4jdHsfpgOfRaAW/dOkqqE/SUIVlio0BpvVMhxT3Q0mIjpM9Yr5RoyUIlNkKHpXeNlaKYgiDg+TmDEabTYMupKnx1wLNZpBypESQtBulxEVKU8u1NzlOmPxxn6c1ZQzIgCCxd6W26m0fQuMUGJ1gRNIvFKltseJjiBIDpg9j/ytojFUE1FG41mLF43Ql8c7BMqtcMNWoVHelnSKARBOEvhmTJX9rKCJMrUvjA9CYDapoNaGwzQRDYHM1gkZscBR4QmzE4Q7Ujkh90AMeIG+B8HmddiwFzXtuCa9/c5nKk0Qm7EU/25KXKac6VYnrT3lfMW8b2SsLqxybhClF8xoTrkBjlOOZJjZvG5qB3SjRM4gH4+auHYHSu6xS3GgMyYqHVCKhqMjiNPsr1Z7bi8amZA3BZ/1T8+86xDnV4vVKi8chl+QCAF74+goY2o0fraWo3SdMS+oijx+4XU7rfH6lwOnuS159dNSwT/URvvf1e1qEpa9CU9AmSF1phTQtajWaE6zQuu7PtmdAnGdFhWpQ3tAW1rmpfUa00vmzDsdAUaNXNygha15trSgKNIEKUPqkxiApj6SxlfZgreAStuqldqj/LjI9EhN7ztJi/CddppQjBVcPUU4YZ8REYJzZBDM2Kd3hcqkGz67TbWVCDRrHGy9nB3WKRfbecpZJ4mvObg2U4VdmEMJ1Gal7oCPFRerw+dxTeu2MM3r9zLLRu7Do4eq0Gz8weBK1GwN0X50kpR2+J0GuliKSzRgHewWkfnRuSFY+ld43DmF7qwvDBy3ojLyUa5xvb8aaHDQMF0qSIcMSL6dT8tFhcPjANViurebOnuLYFpyqboNUIuDg/RWpY8bYOrchZDZoo0Mob2jwWmv6A15/1S4912gWtRoRei8sG8DSnbTdnm9GMV78/3ikRLT7dBAA2Hj8fkuPBlJ2bJbWtnT65oqOQQCOIEEWv1eDNW0fj1RuHO4382JMcLc/j5GOTermYwdlZLJk7EkvvGiuJMDX+8asRWDJ3JKYOTHN4LNVJBE05dP1QiXqd1bmaFjS2mxCm0zit4+NWGzyVdvnANLe2B54iCAKmDkx3+burMbl/Go48PwN/nD2oQ68veeo5eX8qFB2c3hCu0+LJ6f0BsHmgniBPirBNYz9wKatz/HxPsUOtEI+ejcxJQHykXhZoXtShtZvMkhDNsYugxUfqpQhtZxrW8voztQkd7uB2G98fkevQTGYLHv3PXvxzw6lOmTag/N8739ju0cSKzqZGIdAsVrgthQg1SKARRAhzab9UXDtKfcyQGtystrrZIEXQXE0Q6Cx6p8bgsv6OwktJj/hIXDUsU7XWztm4p10KV3lnEaKDYhpoYI846J1EKuwFwy9HdCy96S+8aQhwBm8UOOTk/eHmrWlx3nfqXto/FTqNgLPVLR51yalNigBYOviy/qkwWaz4+5pjNo9x0XxZ/1QA8kixA8X1LgfUKymtY79jpF4rzWFVwicKBCLNabVaVbuPeQTNfsSTJ3CD51OVTTh9vgkWixVPLT+IdUdZ5Kysvi2gvm4Gk0Uyse4nvnehmOassfM+4yetXQUSaATRjeA2G+cb2yVPMU86OEMdLh6qm9ulg3JTuwmHFGftzs7gDxbXAQCGqaROOcr3KD5S71ZMdiUG8ZFPZervD49Kpsd63xARE67DmF5MMHkyXUBtUgTnd7MGQCMAqw+WSwd/g8mCbaJR86Xi3Nb81BjEhuvQYjBL9inuKFIMSVc7AQhko8BH289h7J/X4R/rTtrczz3QnI14ckVchF4aP/b94Qr8efVRLN9bDK1GQKxoI8MjdL7QbjLj9PkmB4HDOVBch3aTBcnRYbj74jwAwIYQbBSwX39X6+QkgUYQ3QhlBI13LYVCBK2jJEeHQyMAVqv8pbv3XC3MFqvkCXakVH2kEfdfG5rtXKDlJEVJ9WFXDuvhsc9YV4APhy+ubVW1Q/A1xcnhYtYjgVYpWmykOaaaB2TESUPpF64+CqvVit3natBsMCMlJkyKBGo0AoaLncD7ijxLc9oPSbeH16HxZhJ/8o3Y5bp4/QlphFdzu0kygfbUYsOe6aJdzesbT+G9LQUAgJeuG4ZJ/Vj37ZEyzxsISuta8YdVB/Grt3/CxIXrMeCZ7zD1lR9x+as/qtbl7RDTm+PykjBZrIc7UFwn2fuECvy7gk9Z4VmFrkL3+RYiCEISaDXNBinl1B0EmlYjSGa5PM3Ja2BmDs5AmDjSqNCuxsRisUqRNbXmA45eq8HgzDgIAiSR0F1Iig5DQpQeVqvjmCVAKdB8MyO+tB9LPW47XeXSD8tssUoRjHwntYBPTOuHCL0Gu87W4vsjFZLou6Rvqk33L69DU+vkNJktDi779kPS7Rksfjb2FdX5tdi9zWiWmhmsVmDesv2obGzDiYpGWK2sO9lXE+hpA1kdGp8z+YcrB+K60dnSlA5vImhvbzqDj7cXYvuZGpTWt4E7stQ0G/D1z471hTsVAi09LgKDM+Ngtcrp6FCB22zwUXXepDi99fcLBCTQCKIbwetrzBYrWo1maDWC06hBV0Oy2hD9r/hB4uL8ZClNZF9nVVDdjKZ2E8J1GocRT/a8ccsofP7gBJdzR7sigiBIgui03QGq1WBGQxs7wKf5GEEbkBGLjLgItBktNoXj9hTXtkiTIjIT1IVSj/hI3PMLljL727fHsFGsa7pUrD/jOOvkbDWYceU/t+Cyv29EWX2rdH+RE4sNztCseESFaVHXYsRxP0bR9hXWwWCyIDU2HP3TY1HV1I4nlu2XThp8jZ4BYuez2GH76OR83DuJ2ZVIKW0viva5cL9zYi8sf2gidv3+cjw9awAA4PM9RTbbmswWyVSYN75MEaNoG0OsDo3bbIzOZf/TnqY461uMuOzlH/Cnrw4HdaQWCTSC6EaE6TSIj5S7D7MTI50Wxnc1lF5obUYz9osH53F5yU5HGh0SGwQGZ8a5tTLITozyyWusK5DvxOuLi90IvQZxEb4ZFAuCIEXRXKU5uQjIS4l2aTfywKV9kBQdhjNVzThR0QRBACb1tRVoI3LYAfdUZRPqW+UU3GsbTuJ4RSNK69vwyCd7pYOrszFPHL1WIx3Ed5zx3wil7eK+JvROxpK5IxGp12LrqWosWnsCAGtc6Qiv3zIK/73vIvxmej/pvkE92P/CqfNNHjv888jzrCEZGJ2biNTYcFwzMgtajYC9hXU2n5sjZQ1oajchLkIn2efwNOemk+dd+hF2NtxmY5T4t61sbJcijq5Yd7QC56pbsPVUVVDLHbrHNzdBEBK83gLoHulNjnIe54HiehjMLDLRKzlKMvW1F2hS/ZmL9OaFAO+atLeRUHqgeTKpwhk8wuXKf8tV/ZmSuAg9Hp/aV7o9LDvBofMyKTpMMnf9WRTqpyob8c5m5qMWrtNgb2EdFn57FICiBs2JQAMgFd1vP+M8CugtXKBd1DsZfdNj8fzVbI4pj+z4YrGhJDU2HBP6JNv87dLjwpEUHQazxYqTHjRRGM0W6f3JVTTLpMVFSML78z3F0v08Sjq2V5IktIeLf6PGNpPLkV2didliRZ0o3nslR0sWRJ50G397iPnLzRrSI3AL9AASaCHANddcg8TERFx//fXBXgrRDVDWtHSHDk6O0mpjpzgoelwvNgJL9vqyHWl0UGoQSOjcxYYYPIJmX4Mm1Z/50MGp5OL8FGg1Ak6fdz52y5nFhho3j+spCbDL+qWqbjOCNwoU1sFqteIPqw7BaLZi6oA0LJk7CgDw761nsXxPsWRz4SzFCQAX9WbR051na/xSh6asPxsv7vv60dm4VjGhwpsRT54iCII0fN2TRoHSulaYLVaE6zRSlJpzg1iPuXJfMczie6JsEOBoNYL0dwqVNGddi0GqpUuI0ksnq+7SnE3tJmw6KY4WG9pxs+qOQAItBHjsscfw4YcfBnsZRDeh20bQFPM47Q8SfKRRdbNBigqZLVbJG22Yiw7OCwEu0M5UNUsHWkAxh9PHBgFOfKQeo8S6MGdpTlcWG/aE6TR445bRuHNiL9wt1qTZw/3Q9hXVYuW+Emw/U4MIvQbPzRmMaYPS8dBlzPz2qeUHAADRYVokRDk3Hx6alYBIvRY1zQac9IPdxv4iuf6st/h/KAgCXvjlEIzsmYChWfGS/5q/4Y0CntShnatmgjo3OcphDNvUgelIjNKjoqEdm06yaQHce3B8b9vpJjzNGSp+aLyDMz5SD71Wg14eCrQNxyphMFnQOyVa6oAOFiTQQoDJkycjNja4HwSi+5CijKB1J4Emnt2X1bc5FClH6LVSITwXZQVVTWg2mBGp13oUtenOZCZEIlyngcFksYlw8Y5YXy02lLiz2+ANCp7+LQZlxuG5OYNtaiqV8EaBvedq8ZfVLJX56yl9paaY30zrhwm9k6V5pjlJUS7TuGE6uQ5tux/q0JTpTeXrRofrsOKhifjq178IWH0obxTwpJPznPh56Jnk+F0RptPgatG0+fPdxThR2Yi6FiOiwrSS7Qnnkn6p0GoEnKxsCgnHfi7QeHrc0wgan4oxc0hGh9L+/qDLCrTGxkbMmzcPubm5iIyMxMSJE7Fr1y6/vsamTZswe/ZsZGYyd/NVq1apbvfGG28gLy8PERERGD16NDZv3uzXdRCENyRHywKtdzcSaDzFeaikHi0GM+IidDZnuJJjvjjSiNefDc6M83gGZndFqxHQO9UxzdlRiw0lkt3GqSqHzreaZoN0wLSf2uArAzLiEK7ToKHNhKomA/LTYnCf2MkIADqtBv+8eaQk7LOcdI4q4WnOHQX+FGiOjSeBPvDzRoEjZeregErOiYIl18nAdm47s/ZIBb4/zEZLjc5NdBCX8ZF6SeBuDAHTWnuB1tsDgdZiMElrv2JocOvPgC4s0O69916sXbsWH330EQ4ePIjp06fj8ssvR0lJier2W7duhdHoaLh37NgxlJeXqzwDaG5uxvDhw7FkyRKn61i2bBnmzZuH3//+99i3bx8mTZqEWbNmobCwUNpm9OjRGDJkiMNPaWmpl781QbgnJZZ9IYVpndsZdEV4kwA/3ozLS7JJyfCoAY+g8RFPrgxqLyTUOjk7alKrZFCPOKTEhKPZYMbuc7aF9mdEUZiVEImoMN+6Re0J02lsmj9euHqIQ8ddamw4/nXbaIzISfBo4DxvFNhxpqZDPlhtRjP2ih5tF9mlAjuD3qnRkjcgbwBwBo+gORNoQ7LiMbBHHAxmC9784TQASPYe9kyRhrhXqD7emdSIHmiJUWIETTwxOHO+yenf9sfj59FmtCAnKdIhQhgMuqRAa21txfLly/HSSy/hkksuQX5+Pp577jnk5eXhzTffdNjeYrHgkUcewdy5c2E2y23HJ06cwOTJk53Wf82aNQsvvvgirr32WqdrefXVV3HPPffg3nvvxcCBA7F48WLk5OTYrGPPnj04dOiQw09mZmYH3gWCUCdVTHH2TI7qVpGjVLsCZvvh40OybK02DlIHpw289ksp0PiYp7QONgkAzOFfstuwMyx1NiS9o0zsw8TPtSOzMKGPuhAa2TMRqx65GJeLA8ZdMSw7ARF6DaqbDR0a+/SzWH+WEhMelCi2XquRosvuGgUKpRo05+vkUbRW0bbDvv6Mc6UYddp6uiroaU5uscG7N3PFFG5Dmwm1LY7BGgBYrejeDHZ6E+iiAs1kMsFsNiMiwvZLJTIyElu2bHHYXqPRYPXq1di3bx9uv/12WCwWnD59GlOmTMGcOXOwYMECn9ZhMBiwZ88eTJ8+3eb+6dOnY9u2bT7t0xWvv/46Bg0ahLFjx/p930T3YVLfVPxyRCZ+M62f+427EBF6rY1X17g824MEj6CV1LWiuqldEmoXeoMAR62T058pTkC227CvQ/O2/sxTHrosH/+6bTQWXjfUL/vzVx0at+q4qHdS0A70njQKWK1WnKsRU5wuDK1/OSITOvFkL0yncfo/lZMUhV/kp8BqBf63u0h1GzWWbi3AiOe/l06q/AG3MkkUBVpkmBaZ8UwzFFQ5iu82oxkbjrLI36whwe3e5HRJgRYbG4sJEybghRdeQGlpKcxmMz7++GPs2LEDZWWOYykAIDMzExs2bMDWrVsxd+5cTJkyBVOnTsVbb73l8zqqqqpgNpuRnm57Zpaenu40barGjBkzcMMNN2D16tXIzs52Wkv3yCOP4MiRI36vtSO6F5FhWiz+1UjMCoEaCn/Do2hqRcpxEXr0/P/27jwqqjNNA/hzq4oqimKRRQSUVYls4oKaaLBdSAxGjSZ2m9iaYLpnHFyIy2Q3aY0dW09Pj8nxTIcc02omrT2knZiMiUYDJm0S0wajoihETQTEBRGVTWStb/6ouheKRQooqAKf3zmcI3UvVV+9qcjrt7yv+ZfMnpNXcKeuAQatGqE+9/YBAVnTJU4hBCpr6nG71jQj0tkuAs1NGOIDlWRqBP7lj43LXHL9NWtOcHaEXqvGI9F+0GnUNnvO+82J/5G7dEVoT9MDAvbSWGqj7QStuKIG1XVGqFUSBt6lBIm3qw4JkablyxGB/eDs1Ha8nxobCAD4+w+XUG9l0dpPT11FaVUd3v8u36r7rXFL2YPWeMhEXubMK2k5u/fN+RLcrm2Av4czhjtIWZ5emaABwF//+lcIITBw4EDodDps3rwZv/71r6FWt/3BCQoKwgcffIAPP/wQGo0GW7dutcm/bpo/hxCiQ8974MABXL9+HVVVVbh06RJnyIjaIC/FjQpquUkZgFKwNi3T9K/36ACPPrXM2xUh3gaoJNMSz/XKGmX2zFWngavONvvCPA1apbjnb//7B2w+eB5Go+hQDTR7a9yHdqNT+9BM+89uWTyXPcjdNe42gyaX2Ajo59zuidKUKeG4b4Cr0oqrLQ9HmUpzFJVX37WzRFNy8dj0nCKbtVa6oSRojbPDjSc5W86gfX668fRm83Ij9tJrE7TBgwfj0KFDqKysRGFhITIzM1FXV4fQ0LY/PNeuXcOiRYswc+ZMVFVVYeXKlV0ag4+PD9RqdYvZsuLi4hazakTUdXKh0dZOxgFQCtbK/RR5QKCRs5NaKUHxc/Ftmy9vyjY9ORzz7w+CEMCm9HNY9NcflFZC7XURcATDAz2g06hQUlnbanP59pwsLEWNef+ZrWcMOyLCPIN2pawapeYN880V3DAlRtYUtI4Z6IEvVk7EI9F3X/7TadSYM8q0Z+1/Mttf5iyvrlOSqfLqehz+qaTdn7GG3Ci96Qya/D6bn+SsrTciPUde3nSclYdem6DJDAYD/P39cevWLRw4cACzZs1q9b6SkhIkJCQgMjISu3fvxpdffom///3veP755zv92lqtFnFxcUhPT7d4PD09HePHj+/08xJR61KmhOPfH74Pz4wPafV6VLNlT+4/syTXivvpeqVyQMAWJzib0mnUWP/4MPxxTiy0GhUycothFKaZuuaV6h2RTqPGqCB5H1rHlznln7nfjvvPAMsl/7aWOeUZtKC77D/rDHmZ86uzxco/BNrSvPXS3uzWtyl11M3KljNoYcpJTsvXPPxzCSqq69HfTafsQXQEvTZBO3DgAPbv34+8vDykp6dj8uTJGDp0KJ599tkW9xqNRiQmJiI4OFhZ3oyMjERGRgbef/99vPXWW62+RmVlJbKyspCVlQUAyMvLQ1ZWlkUJjVWrVuEvf/kLtm3bhtzcXKxcuRIXL15EcnJyt7xvontZkLcLUhLC4e7cevHSmADLhCyGJzgtyDNYPxdX2rTERmvmjgnE/yaPUzZmD/F1dYiTcdaQWzPJe8mEEDhy4QZe2Z2NPSfvXh5JrqFmz+VNWXsHBdorsdFZQ3zdMDrYEw1GYdHHszXybJa8zP7FGdssc8plNrxcmnZWMX3+C25UWdSH+78TpvJcidF+DrUlwjYbD+ygrKwMr7zyCi5dugQvLy/MmTMH69evh5NTy7+4VSoVNmzYgAkTJkCrbfyPNWzYMGRkZMDbu/X/kX744QdMnjxZ+X7VqlUAgKSkJLz//vsAgCeffBI3btzAunXrcPXqVcTExGDfvn0IDg624bslImv0d9PB102H4ooauOo0CO1DvUhtYUiTYrUqc7LU1TZPdxM7qB8+TYnHe9/k4eEo3257HVszJVfn8X3eTez8vgAffFegLJt/dPwSHgjzarU0SXVdg9LlYlwby/A9KSrAHfvPFLU5g3bRvMTZWheBrnpqbBB+KLiFtKMXsXji4Db3deWbN+w/Eu2HQ+euo6SyBod/LsHkoZ3/vFTV1qO6zpTkeTVpfTfIUw+1SsKdugZcq6iGv4cemw+exydZpqT7sRGOVfqq1yZoc+fOxdy5c62+/+GHH2718REjRrT5M5MmTbJqk+iSJUuwZMkSq8dCRN0nOsAdxWevI2agu8Ns9nUUg5uc5HQ3t1DqaqP09ni76vDytIhufQ1bGxHYD1qNCtcrarD649MAAL2TGm7OGhRX1GDbt/mtvqcdRwpQU2/EwH56hzgQEdnODFq+eYkzxMe2M2iAqSbaG3vOoPDmHXz38w3Eh/u0MQZzCRZfA/RaFXYcuYh9p662SNDk3rrWHPyRuwho1SoYtI0HB53UKgR5uSCv5Dbyrt/Gh0cL8XbGeQDAi4lDMaaNArz20muXOImIWiMXLB0/uPVfCPcyeQbtalm1sg+nu5Y4ezNnJzUmmYvuhni74PUZUTjyagL+8Lip3tqOIwUoa1bstLKmHu+YK+0/lzDEIZZz5T2ZPxVXoqa+weJaWVUdyu6Y3oOt96ABphIos0aaZqTSjl5s8z55iTPE24Dpw0z3f5FzDXVNSnQIIbDiwyw89l+HseNIQbuvfeu26X15GbQt/jvIJznf3JurJGevTIvAkklDrH1rPYYJGhH1Kb95MBQ7fns/kicOtvdQHI6HixN8zJ0mcs3LXrY+xdlXbHpyBPY9NwFf/vsk/DY+FB56J0yJ8EWEnxsqa+rx3//Mt7h/+7d5uHm7FqE+BuUUo70FeDjDQ++EeqNo0RlBLlDb301ns/ZbzT01xtRe64sz15RZrebym5wkHRvqBR9XHcru1Fmc5vzgnwX41Lz37x9W9Pm8cdt0AEYuUtuUnKDJy76rH43Evzno3xVM0IioT9GoVYgP92nRl5FMhvha7jfiDFrrXHUaRAVYLpOrVBKWTDbNtGw7nIfbNfUAgNKqWmz5+gIAYOXD90HTTk2xniJJknJQIKuw1OKasrxp4wMCTTXt4/nN+ZY10UqralFqnokM8TG1pkuMMZWo2mc+zZlVWIo39+YoP3OisLTdBvCtldiQhTZpvfXa9Ej86y/COviueo5jfIqIiKhHDGlWi6x5j1O6u+nD/BHi7YLSqjr8T6Zp6e7dQxdQUVOPCD83zHCwDh7y3q+9pyzLV3TnAYGmxoaYylacaqWNk7y8OcC9cRbvUXP8vsi5husVNVi68zjqGgQejhoAZycVSqvqcKFZaY7mbrRSYkM2LcYPUyJ88cc5sfiXCY6bnAFM0IiI7ilNN6/3c3G6a9seakmtkpTl8y1fX8ClW1V4/7s8AMDzU4c63MGUx4ab9nX988INFJU11iQruNE9JTaaizW3TTp1qbTFtfxWCuXeH+oNH1ctSqvq8Kt3v8Pl0jsI9nbBf84drjzXcfNJ2bYoM2guLWfQvF112LZwDOaOCezEu+lZTNCIiO4hTWfQuvsEZ1/1xKhB8PdwRnFFDX793veorjNiZFA/pV+lIwn0csGYEE8IAWUfF9B9NdCak4tFn75cjoZmS5NyT8ymy45qlaR0K8i/UQWtRoV35o+Cu7OTUkT2WDsJ2s1W2jz1RkzQiIjuIU0TtO6sgdaXaTUq/Kt5eUxuY/XC1KEOcXKzNbNGDAQAfGwuyAo0tnkK7uZagWH9XeGiVeNOXUOL1llyF4EQH8sxTG+yTPz7WdFKC7c4c4eHYxetTdBaL2jdWzBBIyK6h/i5Oyu1oXhAoPPmjQ2Cl/mU4INDvDF+iOOWdZk+zB9Oagk5V8tx7loFqusacM3c6iu4G0psNKVWSUpHj5MtDiq03gv0gTBv/DY+FC88MhRzRzcuRY4yz6D9VFzZZn9RgDNoRETUC0mSpBSsZYmNztNr1VgzMwoxA93xuxnR9h7OXXkatJh4n2n59ZMTl5VZPzdnDfq1sk/L1mLNCVr25caDAkII5ZBAaLMZNJVKwuszorB0smU9OS+DFmHme080S/aakhM0T86gERFRbzIysB8A4L4BbvYdSC83a8RAfJYyAUP9HD+Oj480LXP+X9YVJTEK9nbpkWXZWPPnrelJzpu3a1FRXa+Mw1ryLNrdDgrcMpfu8OYMGhER9SYvJkYgbdEDmBHrWL0HqfskRPrCVafB5dI72H3c1MC8u/efyeQZtJyr5UojdLkOW4CHc4dOErd3UKDBKJRTnJxBIyKiXsWg0+CBMO92expS3+HspMa0GNPpyANnrgHo/v1nsmBvF7g7a1Bbb8Q5c9P5tg4ItGeU+aBAVmEp6pu0g5KV3amD3ELb06VlJ4HehAkaERHRPWC2eZlT1t0lNmSSJDWph2Za5szv5CnScF9XuOk0qKptwI9FFS2u3zS3eXJ31sDJQTo6dFbvHj0RERFZ5YEwb/g26RzR3V0Emho2SD4oUAoATQ4IdCxJVKkkjJT3obVSbuNmk0bpvR0TNCIionuAWiVh1ojGfYchHUyOumK4OUFrPoPWvMSGNeR6aK0dFJBn0JigERERUa8hL3O6OWt6tJPEMPMS59kiUx22/Fa6CFhLOSjQx2fQNPYeABEREfWM6AAPvLtgFDz02h7tGxrg4QwfVy1KKmvxzfkSVNbUQ5JMrag6anigB1QSUHjzDorLq+HbpOAyZ9CIiIioV0qM8ce4wd49+pqSJGGYudzGHnNP0AAPfYdKbMjcnJ2UGn7N96HJM2ieTNCIiIiI2ief5EzPKQLQueVNWVv10OQaaN5M0IiIiIjaF2s+KFBdZ6pf1pVDCm0laDfkNk+9vAYawASNiIiIeoBcakPWmROcMjlBO3253KJx+i2lUToTNCIiIqJ2+bo5w9+jcUN/V5Y4g7xcEOHnhtoGIzYf/El5/CYTNCIiIqKOkQ8KAB1v89SUJElYPT0SAPDBP/Px8/VKAEzQiIiIiDpseGA/AIBKAgI9u1Yod0J4fyRE+KLeKLBhXy7u1DbgTl0DACZoRERERFYbaU7QQnwM0Gq6noK8Oj0SGpWEjNxifGou3+GkluCq6/1lXpmgERERUY8YN9gbv58Vjf/4ZaxNnm9wf1cseCAYAPDm3hwAptkzSeq5IrzdhQkaERER9QhJkvD0uBDEBXvZ7DlXPBQOD70TyqvrAfSNEhsAEzQiIiLqxfq5aLHioXDle29XJmhEREREdrfggWCE9TedCuUMGhEREZEDcFKrsPGJWIT6GDAjNsDew7GJ3n/MgYiIiO55Y0O98NXzk+w9DJvhDBoRERGRg2GCRkRERORgmKARERERORgmaEREREQOhgkaERERkYNhgkZERETkYJigERERETkYJmhEREREDoYJGhEREZGDYYJGRERE5GCYoBERERE5GCZoRERERA6GCRoRERGRg2GCRkRERORgNPYeAHWcEAIAUF5ebueREBERkbXk39vy7/G7YYLWC1VUVAAAAgMD7TwSIiIi6qiKigp4eHjc9R5JWJPGkUMxGo24cuUK3NzcIEmSTZ+7vLwcgYGBKCwshLu7u02fmywx1j2Hse45jHXPYax7jq1iLYRARUUFAgICoFLdfZcZZ9B6IZVKhUGDBnXra7i7u/N/+B7CWPccxrrnMNY9h7HuObaIdXszZzIeEiAiIiJyMEzQiIiIiBwMEzSyoNPpsGbNGuh0OnsPpc9jrHsOY91zGOuew1j3HHvEmocEiIiIiBwMZ9CIiIiIHAwTNCIiIiIHwwSNiIiIyMEwQSMiIiJyMEzQSPHOO+8gNDQUzs7OiIuLwzfffGPvIfV6GzZswJgxY+Dm5gZfX1/Mnj0bZ8+etbhHCIG1a9ciICAAer0ekyZNwpkzZ+w04r5jw4YNkCQJK1asUB5jrG3n8uXLWLBgAby9veHi4oIRI0bg2LFjynXG2jbq6+vx2muvITQ0FHq9HmFhYVi3bh2MRqNyD2PdeV9//TVmzpyJgIAASJKETz75xOK6NbGtqalBSkoKfHx8YDAY8Nhjj+HSpUtdH5wgEkKkpaUJJycn8d5774mcnByxfPlyYTAYREFBgb2H1qs98sgjYvv27eL06dMiKytLTJ8+XQQFBYnKykrlno0bNwo3Nzfx0UcfiezsbPHkk08Kf39/UV5ebseR926ZmZkiJCRExMbGiuXLlyuPM9a2cfPmTREcHCwWLlwovv/+e5GXlycyMjLETz/9pNzDWNvGm2++Kby9vcVnn30m8vLyxK5du4Srq6t4++23lXsY687bt2+fWL16tfjoo48EAPHxxx9bXLcmtsnJyWLgwIEiPT1dHD9+XEyePFkMHz5c1NfXd2lsTNBICCHE2LFjRXJyssVjERER4uWXX7bTiPqm4uJiAUAcOnRICCGE0WgUfn5+YuPGjco91dXVwsPDQ7z77rv2GmavVlFRIcLDw0V6erqYOHGikqAx1rbz0ksvifj4+DavM9a2M336dPGb3/zG4rEnnnhCLFiwQAjBWNtS8wTNmtiWlpYKJycnkZaWptxz+fJloVKpxP79+7s0Hi5xEmpra3Hs2DFMnTrV4vGpU6fiu+++s9Oo+qaysjIAgJeXFwAgLy8PRUVFFrHX6XSYOHEiY99JS5cuxfTp0/HQQw9ZPM5Y286ePXswevRo/OpXv4Kvry9GjhyJ9957T7nOWNtOfHw8Dh48iHPnzgEATp48iW+//RaPPvooAMa6O1kT22PHjqGurs7inoCAAMTExHQ5/myWTigpKUFDQwMGDBhg8fiAAQNQVFRkp1H1PUIIrFq1CvHx8YiJiQEAJb6txb6goKDHx9jbpaWl4fjx4zh69GiLa4y17Vy4cAGpqalYtWoVXn31VWRmZuK5556DTqfDM888w1jb0EsvvYSysjJERERArVajoaEB69evx7x58wDwc92drIltUVERtFotPD09W9zT1d+fTNBIIUmSxfdCiBaPUectW7YMp06dwrffftviGmPfdYWFhVi+fDm++OILODs7t3kfY911RqMRo0ePxh/+8AcAwMiRI3HmzBmkpqbimWeeUe5jrLvuww8/xI4dO/C3v/0N0dHRyMrKwooVKxAQEICkpCTlPsa6+3QmtraIP5c4CT4+PlCr1S2y/eLi4hb/cqDOSUlJwZ49e/DVV19h0KBByuN+fn4AwNjbwLFjx1BcXIy4uDhoNBpoNBocOnQImzdvhkajUeLJWHedv78/oqKiLB6LjIzExYsXAfBzbUsvvPACXn75ZTz11FMYNmwYnn76aaxcuRIbNmwAwFh3J2ti6+fnh9raWty6davNezqLCRpBq9UiLi4O6enpFo+np6dj/PjxdhpV3yCEwLJly7B79258+eWXCA0NtbgeGhoKPz8/i9jX1tbi0KFDjH0HJSQkIDs7G1lZWcrX6NGjMX/+fGRlZSEsLIyxtpEHH3ywRbmYc+fOITg4GAA/17ZUVVUFlcryV7VarVbKbDDW3cea2MbFxcHJycninqtXr+L06dNdj3+XjhhQnyGX2di6davIyckRK1asEAaDQeTn59t7aL3a4sWLhYeHh/jHP/4hrl69qnxVVVUp92zcuFF4eHiI3bt3i+zsbDFv3jwekbeRpqc4hWCsbSUzM1NoNBqxfv16cf78ebFz507h4uIiduzYodzDWNtGUlKSGDhwoFJmY/fu3cLHx0e8+OKLyj2MdedVVFSIEydOiBMnTggAYtOmTeLEiRNKiSlrYpucnCwGDRokMjIyxPHjx8WUKVNYZoNs689//rMIDg4WWq1WjBo1SikFQZ0HoNWv7du3K/cYjUaxZs0a4efnJ3Q6nfjFL34hsrOz7TfoPqR5gsZY286nn34qYmJihE6nExEREWLLli0W1xlr2ygvLxfLly8XQUFBwtnZWYSFhYnVq1eLmpoa5R7GuvO++uqrVv+OTkpKEkJYF9s7d+6IZcuWCS8vL6HX68WMGTPExYsXuzw2SQghujYHR0RERES2xD1oRERERA6GCRoRERGRg2GCRkRERORgmKARERERORgmaEREREQOhgkaERERkYNhgkZERETkYJigERH1UpIk4ZNPPrH3MIioGzBBIyLqhIULF0KSpBZfiYmJ9h4aEfUBGnsPgIiot0pMTMT27dstHtPpdHYaDRH1JZxBIyLqJJ1OBz8/P4svT09PAKblx9TUVEybNg16vR6hoaHYtWuXxc9nZ2djypQp0Ov18Pb2xqJFi1BZWWlxz7Zt2xAdHQ2dTgd/f38sW7bM4npJSQkef/xxuLi4IDw8HHv27FGu3bp1C/Pnz0f//v2h1+sRHh7eIqEkIsfEBI2IqJu8/vrrmDNnDk6ePIkFCxZg3rx5yM3NBQBUVVUhMTERnp6eOHr0KHbt2oWMjAyLBCw1NRVLly7FokWLkJ2djT179mDIkCEWr/HGG29g7ty5OHXqFB599FHMnz8fN2/eVF4/JycHn3/+OXJzc5GamgofH5+eCwARdV6X260TEd2DkpKShFqtFgaDweJr3bp1QgghAIjk5GSLn7n//vvF4sWLhRBCbNmyRXh6eorKykrl+t69e4VKpRJFRUVCCCECAgLE6tWr2xwDAPHaa68p31dWVgpJksTnn38uhBBi5syZ4tlnn7XNGyaiHsU9aEREnTR58mSkpqZaPObl5aX8edy4cRbXxo0bh6ysLABAbm4uhg8fDoPBoFx/8MEHYTQacfbsWUiShCtXriAhIeGuY4iNjVX+bDAY4ObmhuLiYgDA4sWLMWfOHBw/fhxTp07F7NmzMX78+E69VyLqWUzQiIg6yWAwtFhybI8kSQAAIYTy59bu0ev1Vj2fk5NTi581Go0AgGnTpqGgoAB79+5FRkYGEhISsHTpUvzpT3/q0JiJqOdxDxoRUTc5cuRIi+8jIiIAAFFRUcjKysLt27eV64cPH4ZKpcJ9990HNzc3hISE4ODBg10aQ//+/bFw4ULs2LEDb7/9NrZs2dKl5yOinsEZNCKiTqqpqUFRUZHFYxqNRtmIv2vXLowePRrx8fHYuXMnMjMzsXXrVgDA/PnzsWbNGiQlJWHt2rW4fv06UlJS8PTTT2PAgAEAgLVr1yI5ORm+vr6YNm0aKioqcPjwYaSkpFg1vt/97neIi4tDdHQ0ampq8NlnnyEyMtKGESCi7sIEjYiok/bv3w9/f3+Lx4YOHYoff/wRgOmEZVpaGpYsWQI/Pz/s3LkTUVFRAAAXFxccOHAAy5cvx5gxY+Di4oI5c+Zg06ZNynMlJSWhuroab731Fp5//nn4+Pjgl7/8pdXj02q1eOWVV5Cfnw+9Xo8JEyYgLS3NBu+ciLqbJIQQ9h4EEVFfI0kSPv74Y8yePdveQyGiXoh70IiIiIgcDBM0IiIiIgfDPWhERN2Au0eIqCs4g0ZERETkYJigERERETkYJmhEREREDoYJGhEREZGDYYJGRERE5GCYoBERERE5GCZoRERERA6GCRoRERGRg2GCRkRERORg/h/D+SBSNBsj1QAAAABJRU5ErkJggg==",
"text/plain": [
""
]
@@ -670,8 +685,8 @@
"output_type": "stream",
"text": [
"Cox model performance:\n",
- "Concordance-index = 0.6310824155807495\n",
- "Confidence interval = tensor([0.5192, 0.7430])\n"
+ "Concordance-index = 0.6610040068626404\n",
+ "Confidence interval = tensor([0.5505, 0.7716])\n"
]
}
],
@@ -701,7 +716,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "p-value = 0.010845780372619629\n"
+ "p-value = 0.002155780792236328\n"
]
}
],
@@ -728,8 +743,8 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "AUC 5-yr = tensor([0.6811])\n",
- "AUC 5-yr (conf int.) = tensor([0.6162, 0.7460])\n"
+ "AUC 5-yr = tensor([0.6954])\n",
+ "AUC 5-yr (conf int.) = tensor([0.6360, 0.7548])\n"
]
}
],
@@ -836,16 +851,16 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "Epoch: 000, Training loss: 1280120.50\n",
- "Epoch: 010, Training loss: 63.86\n",
- "Epoch: 020, Training loss: 60.99\n",
- "Epoch: 030, Training loss: 56.87\n",
- "Epoch: 040, Training loss: 56.78\n",
- "Epoch: 050, Training loss: 52.20\n",
- "Epoch: 060, Training loss: 53.11\n",
- "Epoch: 070, Training loss: 52.22\n",
- "Epoch: 080, Training loss: 50.10\n",
- "Epoch: 090, Training loss: 53.71\n"
+ "Epoch: 000, Training loss: 4903.93\n",
+ "Epoch: 010, Training loss: 20.11\n",
+ "Epoch: 020, Training loss: 19.83\n",
+ "Epoch: 030, Training loss: 19.17\n",
+ "Epoch: 040, Training loss: 17.98\n",
+ "Epoch: 050, Training loss: 18.01\n",
+ "Epoch: 060, Training loss: 18.66\n",
+ "Epoch: 070, Training loss: 17.93\n",
+ "Epoch: 080, Training loss: 18.28\n",
+ "Epoch: 090, Training loss: 17.48\n"
]
}
],
@@ -899,7 +914,7 @@
"outputs": [
{
"data": {
- "image/png": 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",
+ "image/png": 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",
"text/plain": [
""
]
@@ -973,9 +988,9 @@
"output_type": "stream",
"text": [
"Weibull model performance:\n",
- "Concordance-index = 0.5115728378295898\n",
- "Confidence interval = tensor([0.3899, 0.6332])\n",
- "p-value = 0.4260494112968445\n"
+ "Concordance-index = 0.4752066135406494\n",
+ "Confidence interval = tensor([0.3505, 0.5999])\n",
+ "p-value = 0.6516208648681641\n"
]
}
],
@@ -1008,9 +1023,9 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "AUC 5-yr = tensor([0.5368])\n",
- "AUC 5-yr (conf int.) = tensor([0.4759, 0.5976])\n",
- "AUC 5-yr (p value) = tensor([0.1182])\n"
+ "AUC 5-yr = tensor([0.5116])\n",
+ "AUC 5-yr (conf int.) = tensor([0.4587, 0.5645])\n",
+ "AUC 5-yr (p value) = tensor([0.3335])\n"
]
}
],
@@ -1045,10 +1060,10 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "Brier score = tensor([0.2628, 0.2636, 0.2951, 0.2946, 0.2976])\n",
- "Brier score (conf int.) = tensor([[0.2578, 0.2586, 0.2904, 0.2892, 0.2920],\n",
- " [0.2678, 0.2686, 0.2998, 0.3001, 0.3033]])\n",
- "Integrated Brier score = 0.2008299082517624\n"
+ "Brier score = tensor([0.4384, 0.4445, 0.4472, 0.4525, 0.4509])\n",
+ "Brier score (conf int.) = tensor([[0.4324, 0.4372, 0.4391, 0.4433, 0.4411],\n",
+ " [0.4444, 0.4517, 0.4553, 0.4617, 0.4607]])\n",
+ "Integrated Brier score = 0.24550026655197144\n"
]
}
],
@@ -1081,7 +1096,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "Brier score (p-val) = tensor([0.4400, 0.4360, 0.0980, 0.4130, 0.1450])\n"
+ "Brier score (p-val) = tensor([0.0190, 0.1500, 0.4940, 0.5490, 0.4680])\n"
]
}
],
@@ -1121,9 +1136,9 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "Cox cindex = 0.6310824155807495\n",
- "Weibull cindex = 0.5115728378295898\n",
- "p-value = 0.06813302636146545\n"
+ "Cox cindex = 0.6610040068626404\n",
+ "Weibull cindex = 0.4752066135406494\n",
+ "p-value = 0.018631745129823685\n"
]
}
],
@@ -1153,9 +1168,9 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "Cox 5-yr AUC = tensor([0.6811])\n",
- "Weibull 5-yr AUC = tensor([0.5368])\n",
- "p-value = tensor([0.0004])\n"
+ "Cox 5-yr AUC = tensor([0.6954])\n",
+ "Weibull 5-yr AUC = tensor([0.5116])\n",
+ "p-value = tensor([1.5964e-05])\n"
]
}
],
@@ -1182,7 +1197,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.12.7"
+ "version": "3.10.14"
}
},
"nbformat": 4,
diff --git a/docs/notebooks/momentum.ipynb b/docs/notebooks/momentum.ipynb
index cfd0fe6..d7d8082 100644
--- a/docs/notebooks/momentum.ipynb
+++ b/docs/notebooks/momentum.ipynb
@@ -11,7 +11,7 @@
"\n",
"### Dependencies\n",
"\n",
- "To run this notebooks, dependencies must be installed. the recommended method is to use our development conda environment (`preferred`). Instruction can be found [here](https://opensource.nibr.com/torchsurv/devnotes.html#set-up-a-development-environment-via-conda) to install all optional dependencies. The other method is to install only required packages using the command line below:\n"
+ "To run this notebooks, dependencies must be installed. the recommended method is to use our development conda environment (**preferred**). Instruction can be found [here](https://opensource.nibr.com/torchsurv/devnotes.html#set-up-a-development-environment-via-conda) to install all optional dependencies. The other method is to install only required packages using the command line below:\n"
]
},
{
@@ -104,11 +104,34 @@
{
"cell_type": "code",
"execution_count": 6,
+ "id": "ebaf967b",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "CUDA-enabled GPU/TPU is available.\n"
+ ]
+ }
+ ],
+ "source": [
+ "# Detect available accelerator; Downgrade batch size if only CPU available\n",
+ "if any([torch.cuda.is_available(), torch.backends.mps.is_available()]):\n",
+ " print(\"CUDA-enabled GPU/TPU is available.\")\n",
+ " BATCH_SIZE = 500 # batch size for training\n",
+ "else:\n",
+ " print(\"No CUDA-enabled GPU found, using CPU.\")\n",
+ " BATCH_SIZE = 50 # batch size for training"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 7,
"id": "794004c5-588c-4590-ae96-c6d9e52109ff",
"metadata": {},
"outputs": [],
"source": [
- "BATCH_SIZE = 500 # batch size for training\n",
"EPOCHS = 2 # number of epochs to train\n",
"FAST_DEV_RUN = None # Quick prototype, set to None for full training"
]
@@ -135,7 +158,7 @@
},
{
"cell_type": "code",
- "execution_count": 7,
+ "execution_count": 8,
"id": "4abbc6b0",
"metadata": {},
"outputs": [],
@@ -153,7 +176,7 @@
},
{
"cell_type": "code",
- "execution_count": 8,
+ "execution_count": 9,
"id": "ebf5caff",
"metadata": {},
"outputs": [
@@ -201,7 +224,7 @@
},
{
"cell_type": "code",
- "execution_count": 9,
+ "execution_count": 10,
"id": "c216fa33-de09-4be2-82cc-83cb73db3a42",
"metadata": {},
"outputs": [],
@@ -217,7 +240,7 @@
},
{
"cell_type": "code",
- "execution_count": 10,
+ "execution_count": 11,
"id": "8056a675-fbce-4f4b-86c0-ab7dd924e4b1",
"metadata": {},
"outputs": [
@@ -255,7 +278,7 @@
},
{
"cell_type": "code",
- "execution_count": 11,
+ "execution_count": 12,
"id": "1e7a2c7e-a1ef-42fa-ba74-1d33a1dcf2f3",
"metadata": {},
"outputs": [],
@@ -266,7 +289,7 @@
},
{
"cell_type": "code",
- "execution_count": 12,
+ "execution_count": 13,
"id": "3f577acf-a821-41a4-8544-318617755d1e",
"metadata": {},
"outputs": [
@@ -296,7 +319,7 @@
},
{
"cell_type": "code",
- "execution_count": 13,
+ "execution_count": 14,
"id": "430079cc-4fad-4da2-8ea5-aa904c41ec0e",
"metadata": {},
"outputs": [
@@ -319,21 +342,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "Epoch 1: 100%|██████████| 11/11 [01:02<00:00, 0.18it/s, loss_step=218.0, val_loss_step=282.0, cindex_step=0.652, val_loss_epoch=287.0, cindex_epoch=0.665, loss_epoch=228.0]"
- ]
- },
- {
- "name": "stderr",
- "output_type": "stream",
- "text": [
- "`Trainer.fit` stopped: `max_epochs=2` reached.\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Epoch 1: 100%|██████████| 11/11 [01:02<00:00, 0.18it/s, loss_step=218.0, val_loss_step=282.0, cindex_step=0.652, val_loss_epoch=287.0, cindex_epoch=0.665, loss_epoch=228.0]\n"
+ "Epoch 0: 0%| | 0/11 [00:00, ?it/s] "
]
}
],
@@ -344,34 +353,10 @@
},
{
"cell_type": "code",
- "execution_count": 14,
+ "execution_count": null,
"id": "7854deb3-52f8-4a92-b38f-ff304bf82a34",
"metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Testing DataLoader 0: 100%|██████████| 20/20 [01:22<00:00, 0.24it/s]\n",
- "────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\n",
- " Test metric DataLoader 0\n",
- "────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\n",
- " cindex_epoch 0.6686268448829651\n",
- " val_loss_epoch -458.2862548828125\n",
- "────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\n"
- ]
- },
- {
- "data": {
- "text/plain": [
- "[{'val_loss_epoch': -458.2862548828125, 'cindex_epoch': 0.6686268448829651}]"
- ]
- },
- "execution_count": 14,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
+ "outputs": [],
"source": [
"# Test the model\n",
"trainer.test(model_regular, datamodule)"
@@ -391,7 +376,7 @@
},
{
"cell_type": "code",
- "execution_count": 15,
+ "execution_count": null,
"id": "bab50a3f-5670-4264-b2c0-4eccb5f48624",
"metadata": {},
"outputs": [],
@@ -408,51 +393,10 @@
},
{
"cell_type": "code",
- "execution_count": 16,
+ "execution_count": null,
"id": "00473ec0-9f44-47f2-824d-02dcc92dba7d",
"metadata": {},
- "outputs": [
- {
- "name": "stderr",
- "output_type": "stream",
- "text": [
- "GPU available: True (mps), used: True\n",
- "TPU available: False, using: 0 TPU cores\n",
- "IPU available: False, using: 0 IPUs\n",
- "HPU available: False, using: 0 HPUs\n",
- "\n",
- " | Name | Type | Params\n",
- "-----------------------------------\n",
- "0 | model | Momentum | 22.3 M\n",
- "-----------------------------------\n",
- "11.2 M Trainable params\n",
- "11.2 M Non-trainable params\n",
- "22.3 M Total params\n",
- "89.366 Total estimated model params size (MB)\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Epoch 1: 100%|██████████| 110/110 [01:18<00:00, 1.40it/s, loss_step=57.10, val_loss_step=63.80, cindex_step=0.848, val_loss_epoch=59.80, cindex_epoch=0.841, loss_epoch=58.10]"
- ]
- },
- {
- "name": "stderr",
- "output_type": "stream",
- "text": [
- "`Trainer.fit` stopped: `max_epochs=2` reached.\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Epoch 1: 100%|██████████| 110/110 [01:18<00:00, 1.40it/s, loss_step=57.10, val_loss_step=63.80, cindex_step=0.848, val_loss_epoch=59.80, cindex_epoch=0.841, loss_epoch=58.10]\n"
- ]
- }
- ],
+ "outputs": [],
"source": [
"# Define trainer\n",
"trainer = L.Trainer(\n",
@@ -470,34 +414,10 @@
},
{
"cell_type": "code",
- "execution_count": 17,
+ "execution_count": null,
"id": "6441c1ea-b87f-4ff7-92dd-a8d7abf8daa5",
"metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Testing DataLoader 0: 100%|██████████| 200/200 [01:38<00:00, 2.03it/s]\n",
- "────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\n",
- " Test metric DataLoader 0\n",
- "────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\n",
- " cindex_epoch 0.858147144317627\n",
- " val_loss_epoch 72.23859405517578\n",
- "────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\n"
- ]
- },
- {
- "data": {
- "text/plain": [
- "[{'val_loss_epoch': 72.23859405517578, 'cindex_epoch': 0.858147144317627}]"
- ]
- },
- "execution_count": 17,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
+ "outputs": [],
"source": [
"# Validate the model\n",
"trainer.test(model_momentum, datamodule_momentum)"
@@ -513,7 +433,7 @@
},
{
"cell_type": "code",
- "execution_count": 18,
+ "execution_count": null,
"id": "855bda61",
"metadata": {},
"outputs": [],
@@ -527,7 +447,7 @@
},
{
"cell_type": "code",
- "execution_count": 20,
+ "execution_count": null,
"id": "38b1f7d1",
"metadata": {},
"outputs": [],
@@ -553,20 +473,10 @@
},
{
"cell_type": "code",
- "execution_count": 21,
+ "execution_count": null,
"id": "112e2e5d",
"metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Cindex (regular) = 0.6948477029800415\n",
- "Cindex (momentum) = 0.8578558564186096\n",
- "Compare (p-value) = 2.1650459203215178e-11\n"
- ]
- }
- ],
+ "outputs": [],
"source": [
"print(f\"Cindex (regular) = {cindex1(log_hz1, torch.ones_like(y).bool(), y.float())}\")\n",
"print(f\"Cindex (momentum) = {cindex2(log_hz2, torch.ones_like(y).bool(), y.float())}\")\n",