Created
June 17, 2020 09:24
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wandb-example.ipynb
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{ | |
"cells": [ | |
{ | |
"metadata": { | |
"ExecuteTime": { | |
"end_time": "2020-06-17T09:09:08.600291Z", | |
"start_time": "2020-06-17T09:09:00.556633Z" | |
}, | |
"trusted": false | |
}, | |
"cell_type": "code", | |
"source": "import wandb\nwandb.init(entity=\"noklam\", project=\"viz-sklearn\")", | |
"execution_count": 1, | |
"outputs": [ | |
{ | |
"data": { | |
"text/html": "\n Logging results to <a href=\"https://wandb.com\" target=\"_blank\">Weights & Biases</a> <a href=\"https://docs.wandb.com/integrations/jupyter.html\" target=\"_blank\">(Documentation)</a>.<br/>\n Project page: <a href=\"https://app.wandb.ai/noklam/viz-sklearn\" target=\"_blank\">https://app.wandb.ai/noklam/viz-sklearn</a><br/>\n Run page: <a href=\"https://app.wandb.ai/noklam/viz-sklearn/runs/q82a1050\" target=\"_blank\">https://app.wandb.ai/noklam/viz-sklearn/runs/q82a1050</a><br/>\n ", | |
"text/plain": "<IPython.core.display.HTML object>" | |
}, | |
"metadata": {}, | |
"output_type": "display_data" | |
}, | |
{ | |
"data": { | |
"text/plain": "W&B Run: https://app.wandb.ai/noklam/viz-sklearn/runs/q82a1050" | |
}, | |
"execution_count": 1, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
] | |
}, | |
{ | |
"metadata": {}, | |
"cell_type": "markdown", | |
"source": "# Example from sklearn\n* https://scikit-learn.org/stable/modules/generated/sklearn.metrics.confusion_matrix.html" | |
}, | |
{ | |
"metadata": { | |
"ExecuteTime": { | |
"end_time": "2020-06-17T09:14:13.258267Z", | |
"start_time": "2020-06-17T09:14:13.255262Z" | |
}, | |
"trusted": true | |
}, | |
"cell_type": "code", | |
"source": "from sklearn.metrics import confusion_matrix", | |
"execution_count": 8, | |
"outputs": [] | |
}, | |
{ | |
"metadata": { | |
"ExecuteTime": { | |
"end_time": "2020-06-17T09:09:10.823326Z", | |
"start_time": "2020-06-17T09:09:10.815327Z" | |
}, | |
"trusted": false | |
}, | |
"cell_type": "code", | |
"source": "confusion_matrix([0, 1, 0, 1], [1, 1, 1, 0])", | |
"execution_count": 3, | |
"outputs": [ | |
{ | |
"data": { | |
"text/plain": "array([[0, 2],\n [1, 1]], dtype=int64)" | |
}, | |
"execution_count": 3, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
] | |
}, | |
{ | |
"metadata": { | |
"ExecuteTime": { | |
"end_time": "2020-06-17T09:09:10.838334Z", | |
"start_time": "2020-06-17T09:09:10.826329Z" | |
}, | |
"trusted": true | |
}, | |
"cell_type": "code", | |
"source": "y_true = [0, 1, 0, 1]\ny_false = [1, 1, 1, 0]", | |
"execution_count": 4, | |
"outputs": [] | |
}, | |
{ | |
"metadata": { | |
"ExecuteTime": { | |
"end_time": "2020-06-17T09:09:10.852332Z", | |
"start_time": "2020-06-17T09:09:10.841326Z" | |
}, | |
"trusted": false | |
}, | |
"cell_type": "code", | |
"source": "tn, fp, fn, tp = confusion_matrix(y_true, y_false).ravel();\ntn, fp, fn, tp", | |
"execution_count": 5, | |
"outputs": [ | |
{ | |
"data": { | |
"text/plain": "(0, 2, 1, 1)" | |
}, | |
"execution_count": 5, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
] | |
}, | |
{ | |
"metadata": { | |
"ExecuteTime": { | |
"end_time": "2020-06-17T09:09:12.410367Z", | |
"start_time": "2020-06-17T09:09:10.855326Z" | |
}, | |
"trusted": true | |
}, | |
"cell_type": "code", | |
"source": "from wandb.sklearn import plot_confusion_matrix", | |
"execution_count": 6, | |
"outputs": [] | |
}, | |
{ | |
"metadata": { | |
"ExecuteTime": { | |
"end_time": "2020-06-17T09:09:18.432436Z", | |
"start_time": "2020-06-17T09:09:12.413364Z" | |
}, | |
"trusted": false | |
}, | |
"cell_type": "code", | |
"source": "plot_confusion_matrix(y_true, y_false)", | |
"execution_count": 7, | |
"outputs": [ | |
{ | |
"name": "stderr", | |
"output_type": "stream", | |
"text": "Failed to query for notebook name, you can set it manually with the WANDB_NOTEBOOK_NAME environment variable\n" | |
} | |
] | |
}, | |
{ | |
"metadata": {}, | |
"cell_type": "markdown", | |
"source": "# Screenshot from wandb" | |
}, | |
{ | |
"metadata": {}, | |
"cell_type": "markdown", | |
"source": "![image.png](attachment:image.png)", | |
"attachments": { | |
"image.png": { | |
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fPygLVP+uKyXEJyjEJynkr18Y9jt/LUTePr4y4p577jmqlHDLLbcOPkFh3E9KyO87SgjxiQgXXvSJQYniD/74Tw6dU1miyNuP87vuExDGXeeTEvyDN44x23DCAAMMMMAAAwwwwAADDDDAAAMMMMAAAwwwwAADDDDAwOIbiE84iHJBfLpCfB3DrK/pyFJCnNzgqw9uvbX2qxymVUiI16mWEqIQccppp6dcGIhPTnjaHz49ffNb3xqEVldKiBv+w4oI5fpcSsjbn/62t9deiDalhG99+9vpb//uFUPPo20pwSclLP7/+Gf9P3avzxADDDDAAAMMMMAAAwwwwAADDDDAAAMMMMAAAwwwwAADy29g4UoJgbIsJlx00UXp5ptvTv/2b/+Wrr766kHDIn9lwySAq6WEONbnDmwPvsLhy//nK4Ovbnjt696Q7rv//j1LCe99/1m1JYPq+U27lHDLrbcNihNRgHju856fzjnv/EGJIt5bFB9ifdtSwrifilC3nU9KWP5/WKq2/e2aM8AAAwwwwAADDDDAAAMMMMAAAwwwwAADDDDAAAMMMLCaBhaylBBYczHhk5/85KCIEOWE+MiHaRQS4vh1pYTvff/76dnP3Uxvfsup6Vl//hfps1d/7lDZoO6TEm688cvpCU/ZGHxlwj333nto22H/Y8vbv/JVr0733vvjo7Zv+kkJUYaI4sH+s88d5FW+7qSlBJ+UsJr/YJSGPGaAAQYYYIABBhhggAEGGGCAAQYYYIABBhhggAEGGGCAAQb2MrCwpYR4Y2Ux4bzzzptaISGOXVdKePDBB9N73vf+wY3+KCXc+d3vHioO1JUSfvjDH6bnveBFg2LCge3PH9p22EW588470zOedeLg0xhuuumrR20fx4iSw6te/ZrB+eXjfP8HP0gnPucvB0s8ztmcfMpp6am/+/spygx52/j9k5/8JP3TP79+ok9KiOzrPgVhnHWTflJCvHb5fjz2Dx0DDDDAAAMMMMAAAwwwwAADDDDAAAMMMMAAAwwwwAADDDAwnwYWupQQqOIG9be//e30jW98I907xqcRjAuxrpQQ+15/w5cGxYBTTjs97e7uHro5XldKiO0vvOgT6bGPf2L6td/8rRTb5E9MiN9XXPmpwfP5nOJ473jnuwZlgROf89z0pRtvHLy/KBF88tLLBseITz4Yp5QQx8zH2vrwRwdFhEGJ47bb0kv+5mWD15jk6xvi+OMUEOq2mbSUkPPyez7/UXFdXBcGGGCAAQYYYIABBhhggAEGGGCAAQYYYIABBhhggAEGGMgGFr6UkN9IfIpBfjyN38NKCffdf3+67vrr03fvuuuI1xtWSoiiwZnvee+gmBAlgOoSBYPyqxriuJvPf+FR28V+L3jxS9PT/vDpY5cSotTw5I3fOOpY8ekJbz7l1MH6L3zx2iPeR5Ps2n6FwySlhHjNJudoW//YMcAAAwwwwAADDDDAAAMMMMAAAwwwwAADDDDAAAMMMMAAA7MzsDSlhGkjGlZKGPY6w0oJsX18QsG1112fXv6Kf0iPe8KTB2WAZ574nHTJJy9NUXKoHvMHP/hhOuNdZx76ZITY9qpPfybdffePBoWEcT8pIYoaUaB47vOeP3jN+LSGOO73vve9wfr4BIdJSgnxvuo+CaFuXS4iVEsZ8XeUJG6++etjHStes5qXv2f3D4jsZc8AAwwwwAADDDDAAAMMMMAAAwwwwAADDDDAAAMMMMAAA6MMKCU8BMgoIHs9F58EUVdC6GJd+XUZe52X57lmgAEGGGCAAQYYYIABBhhggAEGGGCAAQYYYIABBhhggAEGZm9AKUEpYeJPHuiigFB3TP9gzP4fDNfANWCAAQYYYIABBhhggAEGGGCAAQYYYIABBhhggAEGGGCAgSYGlBKUEiYuJQS4uhLBNNc1QW1b/wgywAADDDDAAAMMMMAAAwwwwAADDDDAAAMMMMAAAwwwwAAD82FAKUEpYSqlhAceeCD99Kc/nXo5IY4Zx/YPxnz8g+E6uA4MMMAAAwwwwAADDDDAAAMMMMAAAwwwwAADDDDAAAMMMNDEgFKCUsLUbvg/+OCDUy0mRCEhjtkEtG39A8gAAwwwwAADDDDAAAMMMMAAAwwwwAADDDDAAAMMMMAAAwzMjwGlBKWEqd/0n/RTE3w6wvz8A+Efa9eCAQYYYIABBhhggAEGGGCAAQYYYIABBhhggAEGGGCAAQYmMXDPPfekiy++OO3fvz9tb29P/f5003Nba7qD7ef3fwBNywnKCPN7Lf3vzLVhgAEGGGCAAQYYYIABBhhggAEGGGCAAQYYYIABBhhggIG2BuLTEnZ2dtJ9992nlNA2RPuN/h9gFBTiqxjid7nkdfIbnZ985MMAAwwwwAADDDDAAAMMMMAAAwwwwAADDDDAAAMMMMAAAwxMbsAnJfg6iZk3Y/wPefL/IctQhgwwwAADDDDAAAMMMMAAAwwwwAADDDDAAAMMMMAAAwwwMI8GlBKUEpQSGGCAAQYYYIABBhhggAEGGGCAAQYYYIABBhhggAEGGGCAAQYY6MSAUgJYncCaxwaOc9IMY4ABBhhggAEGGGCAAQYYYIABBhhggAEGGGCAAQYYYIABBvo1oJSglKCUwAADDDDAAAMMMMAAAwwwwAADDDDAAAMMMMAAAwwwwAADDDDAQCcGlBLA6gSWdlG/7SJ5y5sBBhhggAEGGGCAAQYYYIABBhhggAEGGGCAAQYYYIABBubRgFKCUoJSAgMMMMAAAwwwwAADDDDAAAMMMMAAAwwwwAADDDDAAAMMMMAAA50YUEoAqxNY89jAcU6aYQwwwAADDDDAAAMMMMAAAwwwwAADDDDAAAMMMMAAAwwwwEC/BpQSlBKUEhhggAEGGGCAAQYYYIABBhhggAEGGGCAAQYYYIABBhhggAEGGOjEgFICWJ3A0i7qt10kb3kzwAADDDDAAAMMMMAAAwwwwAADDDDAAAMMMMAAAwwwwMA8GlBKUEpQSmCAAQYYYIABBhhggAEGGGCAAQYYYIABBhhggAEGGGCAAQYYYKATA0oJYHUCax4bOM5JM4wBBhhggAEGGGCAAQYYYIABBhhggAEGGGCAAQYYYIABBhjo14BSglKCUgIDDDDAAAMMMMAAAwwwwAADDDDAAAMMMMAAAwwwwAADDDDAAAOdGFBKAKsTWNpF/baL5C1vBhhggAEGGGCAAQYYYIABBhhggAEGGGCAAQYYYIABBhiYRwNKCUoJSgkMMMAAAwwwwAADDDDAAAMMMMAAAwwwwAADDDDAAAMMMMAAAwx0YkApAaxOYM1jA8c5aYYxwAADDDDAAAMMMMAAAwwwwAADDDDAAAMMMMAAAwwwwAAD/RpQSlBKUEpggAEGGGCAAQYYYIABBhhggAEGGGCAAQYYYIABBhhggAEGGGCgEwNKCWB1Aku7qN92kbzlzQADDDDAAAMMMMAAAwwwwAADDDDAAAMMMMAAAwwwwAAD82hAKUEpQSmBAQYYYIABBhhggAEGGGCAAQYYYIABBhhggAEGGGCAAQYYYICBTgzMVSnh+9//fvrmN7+Zbr31VosMGGCAAQYYYIABBhhggAEGGGCAAQYYYIABBhhggAEGGGCAAQYYmIGBuG8f9++n8ckLc1NK+M53vgPTDDApgCjAMMAAAwwwwAADDDDAAAMMMMAAAwwwwAADDDDAAAMMMMAAAwzUGYj7+JMWE+ailBANi3iDd9xxR3rggQeSHwlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEZpNA3LeP+/dxH3/ST0yYi1JC/soGhYTZgPKqEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQggTKBuH8fpYS4nz/JpyXMRSkhfwxE+QY9loAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhgdgnke/lKCbO7Bl5ZAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQksJQJKCUs5WX1piQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAKzT0ApYfbXwBlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEljIBpYSlvKzelAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSGD2CSglzP4aOAMJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpDAUiaglLCUl9WbkoAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCcw+AaWE2V8DZyABCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAkuawL333psuvPDCtH///qOWiy66KMXzdT+xPp6v2y+ON2y/umPNcp1SwizT99oSkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJLDUCdxzzz3p0ksvTfF7Gj/TPt40zmnUMZQSRqXjOQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkMAECUy7RDDt403w1sbaVSlhrJhsJAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEmiewLRLBNM+XvN31GwPpYRmedlaAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkMHYC0y4RTPt41TfywAMPpK997Wvp9ttvTz/72c+qTzf+WymhcWR2kIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCYyXwLRLBNM+XvVdHDhwIO3fvz+dffbZ6bbbbqs+3fhvpYTGkdlBAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkMF4C9957b7rssstS/J7Gz7SPVz0npYSHHkoP1Sy5XVENzN8SkIAEJCABCUhAAhKQgAQkIAEJ9J/AXXfdlS6//PJ0xRVXpLvvvrv2BOIjIOPjIC+++OJ0zTXXDP7//boNYw4Qz8d2sf2wj46M14nXi9eN1/cjAQlIQAISkIAEJCABCUhAAhKQQPMEfH1DTSEhhhNKCc0x2UMCEpCABCQgAQlIQAISkIAEJNBFAvfff3+65JJLBh/1GB/3GEWB+P/dqz933nlnOu+88w5t96Uvfam6yeDvWB/HiSW2j/2qP3H8eJ28Xbx+nIcfCUhAAhKQgAQkIAEJSEACEpCABGabQL6XH/+/e9tlre2O09wvv5HZxunVJSABCUhAAhKQgAQkIAEJSEACEoiPkbzwwgsPFQQuvfTSFP+VRfXnlltuGXw/ZS4SfPGLX6xuMvg71udt4vssY7/qTxw/XidvF68/rY/FrL6WvyUgAQlIQAISkIAEJCABCUhAAsucQPz/2F/5ylfSbbfdNvTTCpu8/3wvf5J+gFJCk8RtKwEJSEACEpCABCQgAQlIQAISWPIE4usVrr322kHh4Jxzzhl85ULdW97d3U1XXnnloEhw0UUXpR/+8Id1mw3Wx/NROIjtY7+6n/hqh3i9KC7E6w/7moe6fa2TgAQkIAEJSEACEpCABCQgAQlI4OEEDhw4MPj/weP/v45iwqQ/SgmTJmh/CUhAAhKQgAQkIAEJSEACEpCABGoTiPJA/FcQo36iOHDfffel//zP/xy12eD52G6vokG83rDSwsgX8KQEJCABCUhAAhKQgAQkIAEJSEACgwSUEoZ8z0RuV3AiAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkEC7BKLwH1+d+J3vfGfP/zhgnFfI9/J9fcM4adlGAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgMCqd9gAACAASURBVAQkIIGxE1BKGDsqG0pAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgASaJXDvvfemyy67LMXvafxM+3jVc3rggQfS1772tXT77bf7pITy4x1yu6IamL8lIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACs0rgnnvuSZdeemmK39P4mfbxqud04MCBtH///nT22Wen2267rfp047/zvfzy/n7Tx2tNd+hi+/xGGidgBwlIQAISkIAEJCABCUhAAhKQgASmnsDNN9+czj333HTeeeelnZ2d2uP/x3/8R7r66qsHQ45LLrkk3X333bXbxfp4PoYhsX3sV/cTrxOvF68br+9HAhKQgAQkIAEJSEACEpCABCQwDwlMu0Qw7eNVM1JKeOihVFdqUEqoUvG3BCQgAQlIQAISkIAEJCABCUhgNgn8+Mc/ThdddNHgv6qI/7Ii/muQ+OjH6k98DOQ555xzaLvrrruuusng71gfx4klto/9qj9x/HidvF28fpyHHwlIQAISkIAEJCABCUhAAhKQwKwTmHaJYNrHq+bj6xuUEqom/C0BCUhAAhKQgAQkIAEJSEACEpirBO6///7BJxvkgsDll18++A8Mqid5xx13DD7VIG83TikhPgUh9qv+xH/AEK+TjxWfrBDn4UcCEpCABCQgAQlIQAISkIAEJDDrBKZdIpj28brOJ3/AQN2HD4y7ztc3dH2VHF8CEpCABCQgAQlIQAISkIAEJLBgCcR3Tl588cWDTy+46667as/+Zz/7WbrhhhvShRdemD796U8PLRFEuSCej+1i+9iv7ideJz4tIV53Gt95Wfca1klAAhKQgAQkIAEJSEACEpCABJomMO0SwbSP1/T9NN1eKaFpYraXgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJjJnAvffeOyja50/3K3/H1w/G83U/sb78esRyvyjuD9uv7lizXKeUMMv0vbYEJCABCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhgiRNQSljii+utSUACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABGaZgFLCLNP32hKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIIElTkApYYkvrrcmAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISmGUCSgmzTN9rS0ACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABJY4AaWEJb643poEJCABCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhglgkoJcwyfa8tAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISWOIElBKW+OJ6axKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIIFZJqCUMMv0vbYEJCABCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhgiRNQSljii+utSUACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABGaZgFLCLNP32hKQgAQkIAEJSEACEpCABCTQSQLb29tpbW3tiGV9fT3t7Ox08nrjHHTfvn1HnM/m5mba3d0dZ9dW28R7jfccOcRrz/In3me83/Ka1L3/gwcPpo2NjSO229raan3q8brx3uO44/7E6+XzDEd+JCABCUhAAhKQgAQkIAEJSEACEpgsAaWEyfKztwQkIAEJSEACEpCABCQgAQnMUQJ1N7XzDeb8exY36Msb3X2dx7yXEqJ8UC0LlOecc2pbSsjHqnudUWTLa6WUMCopz0lAAhKQgAQkIAEJSEACEpCABMZLQClhvJxsJQEJSEACEpCABCQgAQlIQAJznkDdf42fb2xXf7e90d02gvwpCbP+tIa25z/pfsOuTfWmf1kIyNeszbUqX69pKWHS92p/CUhAAhKQgAQkIAEJSEACEpCABI5MQCnhyDz8JQEJSEACEpCABCQgAQlIQAILmkB5Q7t687+8SR03u/u8UV2+dp+vO0+Xscwg8v+jP/qjwVcklIWDvE1cuxNOOOHQVyiU24z7nvKx+r7W456f7SQgAQlIQAISkIAEJCABCUhAAquUgFLCKl1t71UCEpCABCQgAQlIQAISkMCSJlDehK4WEvJbztsM+/qG/Hz+L/SH3dDOXwsQz8exyr9j3ebmZopjxU/1uXzsXE6ITwrI66o334d9usKwY1Y/daDcru49l8/nc6jbrix7xGuUf8d+1fPOeZe/q9m+/OUvT3GdyqzyV29ENrE+n1N5/Opx6rape1+xXV3mZ5555hGvVX1/OdN8LeI4ZUbxfD6Hcn353j2WgAQkIAEJSEACEpCABCQgAQmsegJKCasuwPuXgAQkIAEJSEACEpCABCSwBAmUN6Lb3Bwu9883mcvf+eZ0RLXXtuWN62Hb1t0gL2++x+vkG+FlyaK8CV6eX3487DyrmVSLBXn/+J3PLbMYtW3er3zdvF/5u1omOPXUUwevU/fe4lzze4/j51xyaSG/ZvV3fo9NMi+Pkd93+X7z+ypfO59zuS7vW75njyUgAQlIQAISkIAEJCABCUhAAhJ4OAGlBBIkIAEJSEACEpCABCQgAQlIYOETKG9E55vY476p8oZ5vuEc+w676Vy+VnnTvFxf3qQuj1+uj9coSwbV88435stzqls3znnmG/bxmuV5lp9UUJ5LuX15k748l3J9uX1d7mUGObP8XvKN//x3HDc/ztvGMfPrlecw7L2Xrzcq8/JY+bzz68Rr53OL56r5lOdYbpeP47cEJCABCUhAAhKQgAQkIAEJSEACDyeglECCBCQgAQlIQAISkIAEJCABCSx8AuUN47ip3ORn1L51zw27qR+vmW9Ulze7x71BXj3v6rHK45Q364e91/I841j5p3rcvD5+1z1X3qQvz7EsBJTlhvJ4+XH13CPXfNx4zfL58rm93me5X1k+GLY+zqe8pmUu+VzzeVVLCfF8zieey0vdMfKx/JaABCQgAQlIQAISkIAEJCABCUggJaUECiQgAQlIQAISkIAEJCABCUhg4RMobzSXN87HeWP5RnNZJMj71d14H3azP/apO9a4N8ir5113rPKGeb4pHr/rSgF151n3fvJ7jd91OZavGc/nn72OlbeL32UGcb5xnPxaUSaIx5F/vgbla1Zzycctt4ljtikl1B27PG75fuN1y0yrr5nPy28JSEACEpCABCQgAQlIQAISkIAEjkxAKeHIPPwlAQlIQAISkIAEJCABCUhAAguYQHmzuO4G/ai3VHfzP29fd+O9fK3Yt/ypO1Z5Q768cR775RvzcYO7eoO87lixT14f+1SX8nzqzrPu/ZTnX3c+w27S73Ws8rhlBnHO8Tp5/yginHnmmYP3kq9d+Zo5l+oxqu+9zLbctly/V+bxfPna1VJCPF/mn8+3fK8eS0ACEpCABCQgAQlIQAISkIAEJHBkAkoJR+bhLwlIQAISkIAEJCABCUhAAhJYwATKm9D5v7avvo28TfVGcr7JXLdfvnEeN8DzfnU3+/Nr1R0rv24co8kN8rpj5deJ32WBoLxBn2+k151n3fsZdsxcBhh2k36vY5XHLTOIc41zrK6L9fGe46d8zXweOY/YLl+r8hhltsPWx7HL3PKxy3MtXztnmZ8v982Z1x0jb++3BCQgAQlIQAISkIAEJCABCUhAAr6+gQEJSEACEpCABCQgAQlIQAISWJIEypvJ+aZ1+dbqbmrH8+WN5uoN5rrn6m7259fJr1G+/rg3yPMN+ThWuU95rPw61d/le8/vYdh51p1jPl7dc+Wxy5v0bUsJ5fvJr1e9wV/NfdhrlTl1XUoozyGfb1mQyBn6LQEJSEACEpCABCQgAQlIQAISkMCRCfikhCPz8JcEJCABCUhAAhKQgAQkIAEJLGgC5Q3q8qZx3eN84z7eanmzubxhXq4vb3gPu9kfx8o32cvjlOdVHie2L49VPlcWAfKxhp1P+brxXnNxoDx2nFf+KW/4509/iOfK9eX25bnkY8f25fmUx8mvU/4uM8jvJ54vj12uL88ltilfa1hO5fry9cr18ZrVY5fnWT2n8v3maxsZxzmV577X+6++hr8lIAEJSEACEpCABCQgAQlIQAKrlIBSwipdbe9VAhKQgAQkIAEJSEACEpDAkidQ3ryuKyPEurobyOUN/Lr9ypvT5bblzfuINt+4Lm+wj7pBXj5X97qxrjxWeUO9bvvyfEadZ3lDvXqc6k38ctsyhzLrukxLauX7LN9PeY7l65bvM16/zLZ6vvnv8rh12+fj1x27PNe691vuk99r+Z7iHPJ5lsfyWAISkIAEJCABCUhAAhKQgAQkIAFf38CABCQgAQlIQAISkIAEJCABCSxhAuVN5GE3revedi4V5H3yDehy2/JGelkCiG3y/uUN8vLmdb4xXh6vfD5eN+9bd6zYrywD5POM39Wb4qPOc9hxqseI7epu0lf3r8sptsk/5XvM7y+eK99LeYzy+pXnlDPJ7zueK99nuW35mmWuw46dz7X6fstzLM89ti9fu+7a5mP6LQEJSEACEpCABCQgAQlIQAISWOUEfFLCKl99710CEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCTQYQJKCR2G69ASkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCCBVU5AKWGVr773LgEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEugwAaWEDsN1aAlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkMAqJ6CUsMpX33uXgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJdJiAUkKH4Tq0BCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIYJUTUEpY5avvvUtAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQ6TEApocNwHVoCEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCSwygkoJazy1ffeJSABCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAh0moJTQYbgOLQEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEljlBJQSluzqf+7/XJ/Ov2E7ferfdywyYIABBhhggAEGGGCAAQYYGNvAX134ufQ/Pni5RQYMMMAAAwwwwAADDDDAAAONDNx+++3pRz/60ZLddfV2ppmAUsI005yDY51/+SfTSSedNPbQSXlBeYMBBhhggAEGGGCAAQYYYCAMvPDizzcaOikwKHAwwAADDDDAAAMMMMAAAwyEAaWEObhJPOenoJQw5xeo6ekpJRgmGigzwAADDDDAAAMMMMAAA20MvPTSLygl+K+hGGCAAQYYYIABBhhggAEGGhuYVSlhZ2cnra+vp7W1tUPLxsZGOnjwYNNbrJ1uv729nTY3N9Pu7m6nrzPPB1dKmOer0+LclBIMH9sMH+3DDQMMMMAAAwwwwAADDCgl+C+c/FduDDDAAAMMMMAAAwwwwEAbA7MoJezbt+9QEaEsJeTHW1tbLe60Tn+XOI84J6WEW1MUEx566KHWy9okO09r39yumD6VxTqiUoJBomEyAwwwwAADDDDAAAMMMNDGgFKC4WOb4aN9uGGAAQYYYIABBhhggIG+SwnxyQN15YP4hIT4pIR4Lj5BIT5JYdY/SgkPX4F8L3+SboBSwqw1F6+vlGD42Gb4aB9uGGCAAQYYYIABBhhgQCnBINEwmQEGGGCAAQYYYIABBhhoY6DPUkJ8BUJ86kAUD+LTEqo/UUQ44YQTagsJ1U9XqH56wbACQXV9/tqIKD7ceOONh84nzqn8+ojq68XzcaxV/FFKWLKrrpRgkGiYzAADDDDAAAMMMMAAAwy0MaCUYPjYZvhoH24YYIABBhhggAEGGGCgz1JCLgTEDf74xIRxfspPUIj9yqUsEVTLB/nY1fXlOZTHyo9z2UEpISeYBl/d4OsbDuex8I+UEgwf2wwf7cMNAwwwwAADDDDAAAMMKCUYJBomM8AAAwwwwAADDDDAAANtDMyilNDk6xlyqaDcpywq5E9cyNvlUkG+cVxdX5YSym3zduXr5HXldvm4q/TbJyUs2dVWSjBINExmgAEGGGCAAQYYYIABBtoYUEowfGwzfLQPNwwwwAADDDDAAAMMMDDPpYTy6x6iIFD+5MJA/rSE/He1QFBdX5YSyk9ryOuVEsqUH36slHB0Jgu9RinB8LHN8NE+3DDAAAMMMMAAAwwwwIBSgkGiYTIDDDDAAAMMMMAAAwww0MbALEoJ8VUJZSFg2A3e8hMRqtvH33GctqWEsnwQr6+UMOwq+PqG4cks6DNKCQaJhskMMMAAAwwwwAADDDDAQBsDSgmGj22Gj/bhhgEGGGCAAQYYYIABBvosJZSffJC/dqG8rZuLAbmAUG4/7icl5JJCPm68TpQX8ico5NdQSsgJ7f3bJyXsndFCbaGUYPjYZvhoH24YYIABBhhggAEGGGBAKcEg0TCZAQYYYIABBhhggAEGGGhjoM9SQty4zZ9wEEWBsmhQfipCWRjIpYJyXbltLjfkr2kot8sFBKWEyW6ZKyVMlt/c7a2UYJBomMwAAwwwwAADDDDAAAMMtDGglGD42Gb4aB9uGGCAAQYYYIABBhhgoO9SQtygzUWDKAvULcPKCtVty09FKAsI1e3i70k+KSEfLxcg5u4mc8cnpJTQccB9H14pwfCxzfDRPtwwwAADDDDAAAMMMMCAUoJBomEyAwwwwAADDDDAAAMMMNDGwCxKCXEPtq5EUH7KQfU+bbXIUFcQKD+FIYoEsU3+BIU2pYTy6yPy8arntQp/KyUs2VVWSjBINExmgAEGGGCAAQYYYIABBtoYUEowfGwzfLQPNwwwwAADDDDAAAMMMDCrUsKS3eZd6rejlLBkl1cpwfCxzfDRPtwwwAADDDDAAAMMMMCAUoJBomEyAwwwwAADDDDAAAMMMNDGgFLCkt1w7uDtKCV0EOosD6mUYJBomMwAAwwwwAADDDDAAAMMtDGglGD42Gb4aB9uGGCAAQYYYIABBhhgQClhlneHF+O1lRIW4zqNfZZKCYaPbYaP9uGGAQYYYIABBhhggAEGlBIMEg2TGWCAAQYYYIABBhhggIE2BpQSxr6Vu7IbKiUs2aVXSjBINExmgAEGGGCAAQYYYIABBtoYUEowfGwzfLQPNwwwwAADDDDAAAMMMKCUsGQ3nDt4O0oJHYQ6y0MqJRg+thk+2ocbBhhggAEGGGCAAQYYUEowSDRMZoABBhhggAEGGGCAAQbaGFBKmOXd4cV4baWExbhOY5+lUoJBomEyAwwwwAADDDDAAAMMMNDGgFKC4WOb4aN9uGGAAQYYYIABBhhggAGlhLFv5a7shkoJS3bplRIMH9sMH+3DDQMMMMAAAwwwwAADDCglGCQaJjPAAAMMMMAAAwwwwAADbQwoJSzZDecO3o5SQgehzvKQSgkGiYbJDDDAAAMMMMAAAwwwwEAbA0oJho9tho/24YYBBhhggAEGGGCAAQaUEmZ5d3gxXlspYTGu09hnqZRg+Nhm+GgfbhhggAEGGGCAAQYYYEApwSDRMJkBBhhggAEGGGCAAQYYaGNAKWHsW7kru6FSwpJdeqUEg0TDZAYYYIABBhhggAEGGGCgjQGlBMPHNsNH+3DDAAMMMMAAAwwwwAADfZYSHvH016culyW7dTw3b0cpYW4uxXRORCnB8LHN8NE+3DDAAAMMMMAAAwwwwIBSgkGiYTIDDDDAAAMMMMAAAwww0MZAr6WEP3lDekSHS/WO7cGDB9PGxkZaW1sbLPE41vlploBSQrO85n5rpQSDRMNkBhhggAEGGGCAAQYYYKCNAaUEw8c2w0f7cMMAAwwwwAADDDDAAAPLWkrIhYStra1D94jjsWLCoTjGfqCUMHZUi7GhUoLhY5vho324YYABBhhggAEGGGCAAaUEg0TDZAYYYIABBhhggAEGGGCgjYFeSwnPeGN6RIdLeUd4e3v7qAJCLirEc37GT0ApYfysFmJLpQSDRMNkBhhggAEGGGCAAQYYYKCNAaUEw8c2w0f7cMMAAwwwwAADDDDAAAN9lhJ+4RlvTEcvb6hZF9s1Xf/GPe8HKyXsGVHtBkoJtbEs7kqlBMPHNsNH+3DDAAMMMMAAAwwwwAADSgkGiYbJDDDAAAMMMMAAAwwwwEAbA72WEv70pPQLRy1vrFkX2zVfv9dd4viEhPX19bSzs7PXpp4vElBKKMJYhodKCQaJhskMMMAAAwwwwAADDDDAQBsDSgmGj22Gj/bhhgEGGGCAAQYYYIABBmZfSqgrKrRbN+p+cRQRopCwtbU1ajPP1SSglFATyiKvUkowfGwzfLQPNwwwwAADDDDAAAMMMKCUYJBomMwAAwwwwAADDDDAAAMMtDHQaynhmW9Kv9DhMuw+cS4k7Nu3b9gm1o9IQClhRDiL+JRSgkGiYTIDDDDAAAMMMMAAAwww0MaAUoLhY5vho324YYABBhhggAEGGGCAgV5LCc96U/qFDpe6+8MKCXWpNFunlNAsr7nfWinB8LHN8NE+3DDAAAMMMMAAAwwwwIBSgkGiYTIDDDDAAAMMMMAAAwww0MZAn6WERz7rzanLpXozOBcSfGVDNZlmfyslNMtr7rdWSjBINExmgAEGGGCAAQYYYIABBtoYUEowfGwzfLQPNwwwwAADDDDAAAMMMNBrKeHP3pwe2eFS3gw+ePBg2tjYSAoJZSrtHisltMttbvdSSjB8bDN8tA83DDDAAAMMMMAAAwwwoJRgkGiYzAADDDDAAAMMMMAAAwy0MdBvKeHk9Mg/qy5RVKiui7+bry9vAkcZYW1trXZRVCiT2vuxUsLeGS3UFkoJBomGyQwwwAADDDDAAAMMMMBAGwNKCYaPbYaP9uGGAQYYYIABBhhggAEGei0lnHhyemSHy0LdGF6gk1VKWKCLNc6pKiUYPrYZPtqHGwYYYIABBhhggAEGGFBKMEg0TGaAAQYYYIABBhhggAEG2hjotZTw5yenR3a4jHM/1jbNE1BKaJ7ZXO+hlGCQaJjMAAMMMMAAAwwwwAADDLQxoJRg+Nhm+GgfbhhggAEGGGCAAQYYYKDfUsJb0iP/vLtlrm8EL/DJKSUs8MWrO3WlBMPHNsNH+3DDAAMMMMAAAwwwwAADSgkGiYbJDDDAAAMMMMAAAwwwwEAbA72WEp79lvTIDpe6+6/WTZ6AUsLkGc7VEZQSDBINkxlggAEGGGCAAQYYYICBNgaUEgwf2wwf7cMNAwwwwAADDDDAAAMM9FtKOCU98tmVJT45obou/m66/tmnzNV932U6GaWEZbqaKSWlBMPHNsNH+3DDAAMMMMAAAwwwwAADSgkGiYbJDDDAAAMMMMAAAwwwwEAbA72WEp5zSnpkdYkCQnVd/N1i/ZLdOp6bt6OUMDeXYjonopRgkGiYzAADDDDAAAMMMMAAAwy0MaCUYPjYZvhoH24YYIABBhhggAEGGGBg5qWEukJCy3XTuWPrKNUElBKqiSz430oJho9tho/24YYBBhhggAEGGGCAAQaUEgwSDZMZYIABBhhggAEGGGCAgTYG+iwlrP/FqanLZcFvFc/t6SslzO2laXdiSgkGiYbJDDDAAAMMMMAAAwwwwEAbA0oJho9tho/24YYBBhhggAEGGGCAAQaUEtrd112lvZQSluxqKyUYPrYZPtqHGwYYYIABBhhggAEGGFBKMEg0TGaAAQYYYIABBhhggAEG2hjotZTw3FPTeofLkt06npu3o5QwN5diOieilGCQaJjMAAMMMMAAAwwwwAADDLQxoJRg+Nhm+GgfbhhggAEGGGCAAQYYYKDfUsJpaf25lSW+0qG6Lv5uuv65p03nhq2jHJWAUsJRkSz2CqUEw8c2w0f7cMMAAwwwwAADDDDAAANKCQaJhskMMMAAAwwwwAADDDDAQBsDvZYS/vK0tF5dooBQXRd/t1i/2HeK5/fslRLm99q0OjOlBINEw2QGGGCAAQYYYIABBhhgoI0BpQTDxzbDR/twwwADDDDAAAMMMMAAA/2WEv4lrf9ld0urG7R22jMBpYQ9I1qsDZQSDB/bDB/tww0DDDDAAAMMMMAAAwwoJRgkGiYzwAADDDDAAAMMMMAAA20M9FpK2PyXtN7hslh3hhfnbJUSFudajXWmSgkGiYbJDDDAAAMMMMAAAwwwwEAbA0oJho9tho/24YYBBhhggAEGGGCAAQZ6LSU871/SeofLWDdkbdQ4AaWExpHN9w5KCYaPbYaP9uGGAQYYYIABBhhggAEGlBIMEg2TGWCAAQYYYIABBhhggIE2BvotJZye1p/X3TLfd4IX9+yUEhb32tWeuVKCQaJhMgMMMMAAAwwwwAADDDDQxoBSguFjm+GjfbhhgAEGGGCAAQYYYICBXksJf3V6Wq8u8ckJ1XXxd9P1f3V67f1XKydPQClh8gzn6ghKCYaPbYaP9uGGAQYYYIABBhhggAEGlBIMEg2TGWCAAQYYYIABBhhggIE2BvosJTzqr96aqksUEqrr4u826+fqxu8SnYxSwhJdzHgrSgkGiYbJDDDAAAMMMMAAAwwwwEAbA0oJho9tho/24YYBBhhggAEGGGCAAQZ6LSU8/63pUR0uS3breG7ejlLC3FyK6ZyIUoLhY5vhRfnJpAAAIABJREFUo324YYABBhhggAEGGGCAAaUEg0TDZAYYYIABBhhggAEGGGCgjYF+SwlvS496fnWJokJ1XfzddP3bpnPD1lGOSkAp4ahIFnuFUoJBomEyAwwwwAADDDDAAAMMMNDGgFKC4WOb4aN9uGGAAQYYYIABBhhggIFeSwkveFt6VIfLYt8pnt+zV0qY32vT6syUEgwf2wwf7cMNAwwsu4HTz/9IWltbO7S88m0np2V/z96f/10zwAADDDQ1oJRgkGiYzAADDDAw3MAjnvf36f954m+mJ7/3oiSn4TnJRjYMMMDAahrot5Tw9vSoF3S3tLpBa6c9E1BK2DOifjfY3t4+dMMkbp7E301+lBIMHpsOHm3PDAMMLLuBKCT81//2/6ezrr50UESI3/G3YgL7y27f+2OcAQaaGlBKWM3hoaGx684AAwzsbeC4V586mNkqJeydFU8yYoABBlbTQK+lhBe+PT2qusQnJ1TXxd9N17/w7U1uy9q2QQJKCQ3C6nrTnZ2dtL6+fqiIEIWE+DvWj/ujlGDw2HTwaHtmGGBgmQ2cd9MX0rG/+rh04stefMQnI0QhIdbH88v8/r03//tmgAEGGGhiQClhNYeHhsauOwMMMDDawH992rMO/UdkSgmjs2JJPgwwwMDqGuizlHDMC9+RqksUEqrr4u8268e9J2u7ZgkoJTTLq9Ot9+3bl2Ipf+rWlc9XHyslGDo2GTralhcGGFh2A/lTEeLTEsr3Omx9uY3H/vfBAAMMMLBqBpQSVneAaHjs2jPAAAP1BqKQ8F/+3/8vPfZN70vxWCmhPid+5MIAAwww0Gsp4UXvSMd0uFTvvfp7OgkoJUwnx4mPsru7mzY3N9PW1tYRx4pPS4j18fw4P0oJBqerNjj1fplngIFRBqpf3ZC3zaUEX+HATzbhNwsMMMDATlJKMEg0TGaAAQYYGG5AKWF4NtzIhgEGGGCg31LCGemYF1WXKCpU18XfTdefMc7tWNu0SEApoUVoXexy8ODBtLGxceirG/JrRCkh1sfz4/woJRimGqYywAADDBw2MKyUkL/WQSnhcFbcyIIBBhhgQCnBINEwmQEGGGBguAGlhOHZcCMbBhhggIFeSwkvPiMd0+Eyzv1Y2zRPQCmheWad7NGklHDHHXekk046aeRioGigyAADDDDAwE5SSvC/A/87YIABBhgY34BSgkGiYTIDDDDAwHADSgnDs+FGNgwwwAADvZYSXnJGOqbDpZMbwQ6alBLmBEHTUkJ8gkLd8t4PnDUoKxi8jT94k5WsGGCAgeU1MKyU4Osblvea+9+za8sAAwy0N6CUYJBomMwAAwwwMNyAUsLwbLiRDQMMMMBAv6WEd6ZjXnLk8qhBSeHIdbFN0/Wxj59uElBK6CbXxkfd3d1Nm5ubaWtr64h9o3gQ6+P5cX58fUP7AZzhpewYYICB5TOQywdRTiiv77D15TYeL58H19Q1ZYABBkYbUEowSDRMZoABBhgYbkApYXg23MiGAQYYYKDXUsJL35mOqSyD8kFlXWzTZv0492Nt0zwBpYTmmXW2x759+1Is5U/duvL56mOlhNFDNkNI+TDAAAOrZeC8m76Qjv3Vx6VXvu3kI0oJ8Xesj+eZWC0TrrfrzQADDAw3oJRgkGiYzAADDDAw3IBSwvBsuJENAwwwwEC/pYR3pWNe2t1Svffq7+kkoJQwnRyncpSdnZ20vr4++FqGOGB8SkL8HevH/VFKGD5gM3yUDQMMMLCaBqKAsLa2lvKnJeRPSagWFfhYTR+uu+vOAAMMHDaglGCQaJjMAAMMMDDcgFLC8Gy4kQ0DDDDAQK+lhL9+VzqmukRJobou/m66/q/fNe4tWds1TEApoWFgXW8eRYS4cZKX+LvJj1LC4YGa4aIsGGCAAQaygSgk5P/bGr8VEtjINvxmgQEGGDhsQCnBINEwmQEGGGBguAGlhOHZcCMbBhhggIGZlxLqCgkt1zW5L2vb8RNQShg/q4XYUinh8EDNcFEWDDDAAAMMMMAAAwwwwMD4BpQSDBINkxlggAEGGGCAAQYYYICBNgb6LCU8+m/OTF0uC3FDeAFPUilhAS/aqFNWShh/4GY4KSsGGGCAAQYYYIABBhhg4LABpQTDxzbDR/twwwADDDDAAAMMMMAAA7MuJRzz1/VFhabro+zgp5sElBK6yXVmR1VKODxQM1yUBQMMMMAAAwwwwAADDDAwvgGlBINEw2QGGGCAAQYYYIABBhhgoI2BXksJf3tmenRlOSY+PaGyLv5us35mN3mX/IWVEpbsAisljD9wM5yUFQMMMMAAAwwwwAADDDBw2IBSguFjm+GjfbhhgAEGGGCAAQYYYICBfksJ706P/tvuliW7dTw3b0cpYW4uxXRORCnh8EDNcFEWDDDAAAMMMMAAAwwwwMD4BpQSDBINkxlggAEGGGCAAQYYYICBNgZ6LSW87N3p0dUlSgrVdfF30/Uve/d0btg6ylEJKCUcFclir1BKGH/gZjgpKwYYYIABBhhggAEGGGDgsAGlBMPHNsNH+3DDAAMMMMAAAwwwwAAD/ZYS3pMe/bLqEqWE6rr4u/n6xb5TPL9nr5Qwv9em1ZkpJRweqBkuyoIBBhhggAEGGGCAAQYYGN+AUoJBomEyAwwwwAADDDDAAAMMMNDGQK+lhJe/Jz26w6XVDVo77ZmAUsKeES3WBkoJ4w/cDCdlxQADDDDAAAMMMMAAAwwcNqCUYPjYZvhoH24YYIABBhhggAEGGGCg11LC370nPbqyHBMlhcq6+Lvp+tjHTzcJKCV0k+vMjqqUcHigZrgoCwYYYIABBhhggAEGGGBgfANKCQaJhskMMMAAAwwwwAADDDDAQBsD/ZYS3pse/XdHLg+XD45cF9u0WT+zm7xL/sJKCUt2gZUSxh+4GU7KigEGGGCAAQYYYIABBhg4bEApwfCxzfDRPtwwwAADDDDAAAMMMMBAn6WEx/z9e1OXy5LdOp6bt6OUMDeXYjonopRweKBmuCgLBhhggAEGGGCAAQYYYGB8A0oJBomGyQwwwAADDDDAAAMMMMBAGwO9lhJe8b70mOoSRYXquvi76fpXvG86N2wd5agElBKOimSxVygljD9wM5yUFQMMMMAAAwwwwAADDDBw2IBSguFjm+GjfbhhgAEGGGCAAQYYYICBmZcS6goJLdct9p3i+T17pYT5vTatzkwp4fBAzXBRFgwwwAADDDDAAAMMMMDA+AaUEgwSDZMZYIABBhhggAEGGGCAgTYGei0lvPJ96TEdLq1u0NppzwSUEvaMaLE2UEoYf+BmOCkrBhhggAEGGGCAAQYYYOCwAaUEw8c2w0f7cMMAAwwwwAADDDDAAAO9lhL+4f3pMZXl0VFSqKyLv5uuj338dJOAUkI3uc7sqEoJhwdqhouyYIABBhhggAEGGGCAAQbGN6CUYJBomMwAAwwwwAADDDDAAAMMtDEw81JCTSFhUEposX5mN3mX/IWVEpbsAisljD9wM5yUFQMMMMAAAwwwwAADDDBw2IBSguFjm+GjfbhhgAEGGGCAAQYYYICBPksJx77qrNTlsmS3jufm7SglzM2lmM6JKCUcHqgZLsqCAQYYYIABBhhggAEGGBjfgFKCQaJhMgMMMMAAAwwwwAADDDDQxkCvpYR/PCsdW12iqFBdF383Xf+PZ03nhq2jHJWAUsJRkSz2CqWE8QduhpOyYoABBhhggAEGGGCAAQYOG1BKMHxsM3y0DzcMMMAAAwwwwAADDDDQbynhX9Ox/1hdopRQXRd/N1+/2HeK5/fslRLm99q0OjOlhMMDNcNFWTDAAAMMMMAAAwwwwAAD4xtQSjBINExmgAEGGGCAAQYYYIABBtoY6LWU8Op/Tcd2uLS6QWunPRNQStgzosXaQClh/IGb4aSsGGCAAQYYYIABBhhggIHDBpQSDB/bDB/tww0DDDDAAAMMMMAAAwz0Wkr4X/+ajq0sj3n1WUeti22aro99/HSTgFJCN7nO7KhKCYcHaoaLsmCAAQYYYIABBhhggAEGxjeglGCQaJjMAAMMMMAAAwwwwAADDLQx0G8p4QPp2P8VS5QTHn78mOLxpOtndpN3yV9YKWHJLrBSwvgDN8NJWTHAAAMMMMAAAwwwwAADhw0oJRg+thk+2ocbBhhggAEGGGCAAQYY6LWU8JoPpGM7XJbs1vHcvB2lhLm5FNM5EaWEwwM1w0VZMMAAAwwwwAADDDDAAAPjG1BKMEg0TGaAAQYYYIABBhhggAEG2hjot5TwwXTsa6pLFBWq6+Lvpus/OJ0bto5yVAJKCUdFMnrFwYMH08bGRlpbWxtriW1jn75+lBLGH7gZTsqKAQYYYIABBhhggAEGGDhsQCnB8LHN8NE+3DDAAAMMMMAAAwwwwECvpYR/+mA6trpEIaG6Lv5usb6ve7qr9jpKCQ2vuFLC4YGV4Z0sGGCAAQYYYIABBhhggIHlMaCUYJBomMwAAwwwwAADDDDAAAMMtDHQbynhQ+nYf+puaXjr2OZjJqCUMGZQwzbb3t4efGLC1tbWEZvs27dvsD6e7/PHJyUsz0DQcNe1ZIABBhhggAEGGGCAgT4NKCUYPrYZPtqHGwYYYIABBhhggAEGGOizlHDcaz+UYoliwuHHHywet18fx/PTTQJKCRPkuru7mzY3NwdLPC5/8icqxPPV58rtpv1YKcHQss+hpdfijQEGGGCAAQYYYICB5TGglGCQaJjMAAMMMMAAAwwwwAADDLQx0G8pYSsd99pYonzw8OOHCwrTWT/te7eO93ACSgkTSBhVPMjPbWxspHjc149SwvIMBA13XUsGGGCAAQYYYIABBhjo04BSguFjm+GjfbhhgAEGGGCAAQYYYICBXksJ+7bScR0ufd3TXbXXUUqY4IrnT0pYW1tLw76+wSclGCL2OUT0WrwxwAADDDDAAAMMMMBAWwNKCQaJhskMMMAAAwwwwAADDDDAQBsD/ZYSPpyO21ddoqhQXRd/N13/4QnuHNt1VAJKCaPSGeO57e3tFKWEYUs83+ePT0owgGw7gLQfOwwwwAADDDDAAAMMrLYBpQTDxzbDR/twwwADDDDAAAMMMMAAA72WEv75w+m46hKFhOq6+LvF+j7v667SayklTOFq7+zspPX19SOKCX1/bUN+G0oJqz1ENER2/RlggAEGGGCAAQYYYKCtAaUEg0TDZAYYYIABBhhggAEGGGCgjYF+SwkfScf9c3dLvufq93QTUEqYbp4zP5pSggFk2wGk/dhhgAEGGGCAAQYYYGC1DSglGD62GT7ahxsGGGCAAQYYYIABBhjotZTwuo+k42KJYsLPHx8bn4owhfVxDD/dJKCU0E2uMzuqUsJqDxENkV1/BhhggAEGGGCAAQYYaGtAKcEg0TCZAQYYYIABBhhggAEGGGhjoNdSwus/ko6LJUoIP3987Os+fOjxpOtndpN3yV9YKWEKF/jgwYMpvq5hbW1t8DUON954Y9rc3ExbW1tTOHqzQyglGEC2HUDajx0GGGCAAQYYYIABBlbbgFKC4WOb4aN9uGGAAQYYYIABBhhggIF+SwkfTce9vrul2Z1ZW4+bgFLCuEkN2W57e3tQRohCQi4lxLpcUui7mKCUsNpDRENk158BBhhggAEGGGCAAQbaGlBKMEg0TGaAAQYYYIABBhhggAEG2hjotZTwho+m46pLlBSq6+Lvpuvf8NEhd4StnjQBpYQJEtzd3R18IsL6+nra2dlJUUbIj/OnJ0Q5IR739aOUYADZdgBpP3YYYIABBhhggAEGGFhtA0oJho9tho/24YYBBhhggAEGGGCAAQb6LSV8LB33huoSpYTquvi7+fq+7umu2usoJUxwxXPxIL6qIQoKZSkhFxaUElZ7qGeo6/ozwAADDDDAAAMMMMDAohhQSjBINExmgAEGGGCAAQYYYIABBtoY6LWU8MaPpeM6XCa4dWzXEQkoJYwIZ6+ncvEgvrYhCgllKSEex/pcWNjrWNN63iclGHguysDTebLKAAMMMMAAAwwwwMB8GVBKMHxsM3y0DzcMMMAAAwwwwAADDDAw61LCsfEpCTVFhabr4xh+uklAKWHCXHP5IAoIdUs83+ePUsJ8DfUMWV0PBhhggAEGGGCAAQYYWBQDSgkGiYbJDDDAAAMMMMAAAwwwwEAbA32WEo4/6eMpligQdPG4z/u6q/RaSglTuNr5axzKUkLfX9uQ34ZSgoHnogw8nSerDDDAAAMMMMAAAwzMlwGlBMPHNsNH+3DDAAMMMMAAAwwwwAADsygl5ELCtH/ne65+TzcBpYTp5jnzoyklzNdQz5DV9WCAAQYYYIABBhhggIFFMaCUYJBomMwAAwwwwAADDDDAAAMMtDHQaynhTR9Px1eX+PSE6rr4u+n6N3185vd6l/UElBKW7MoqJRh4LsrA03myygADDDDAAAMMMMDAfBlQSjB8bDN8tA83DDDAAAMMMMAAAwww0G8pYX86/k3VJUoJ1XXxd/P1S3breG7ejlLCBJcif23D5uZm2t3dPeJIOzs7aX19PdU9d8SGU/5DKWG+hnqGrK4HAwwwwAADDDDAAAMMLIoBpQSDRMNkBhhggAEGGGCAAQYYYKCNgV5LCW/en47vcJnyrVuH+3kCSgkTUBhVSsjPbWxspHjc149SgoHnogw8nSerDDDAAAMMMMAAAwzMlwGlBMPHNsNH+3DDAAMMMMAAAwwwwAAD/ZYSzk7HvzmWKCc8/Pi44vEk6+N4frpJQCmhRa779u1La2trYy0+KWG+hmyGnq4HAwwwwAADDDDAAAMMMFBvQCnBINEwmQEGGGCAAQYYYIABBhhoY6DXUsLJZ6fjY4lCws8fH1c8nnR9i1vHdhkjAaWEMUKqbpI/BWGcYsL29nZ1907/9kkJ9cM1Q0e5MMAAAwwwwAADDDDAAAOjDSglGD62GT7ahxsGGGCAAQYYYIABBhjotZTwlrPT8R0und7IXeGDKyVMcPFzOaHvT0MYdcpKCaOHbIaQ8mGAAQYYYIABBhhggAEG6g0oJRgkGiYzwAADDDDAAAMMMMAAA20M9FtKOCcd/5bqEkWF6rr4u+n6c0bdhvXcBAkoJUwQ3jzuqpRQP1wzdJQLAwwwwAADDDDAAAMMMDDagFKC4WOb4aN9uGGAAQYYYIABBhhggIE+Swm/eMo5KZbjf/578PgtD6+bxvp5vP+7DOeklDCFq7i1tZU2NjZSfHJC/MRXNsRXO/T91Q3x2koJo4dshpDyYYABBhhggAEGGGCAAQbqDSglGCQaJjPAAAMMMMAAAwwwwAADbQz0W0o4N/3iKd0tU7h17BA1CSgl1ITSZFUUEqKAsL6+nnZ2dga75nWxPh73+aOUUD9cM3SUCwMMMMAAAwwwwAADDDAw2oBSguFjm+GjfbhhgAEGGGCAAQYYYICBXksJp56bfjGWKCb8/PHxxeNJ1sfx/HSTgFLCBLnGJyPEJySUhYR8uPxpCZubm2l3dzev7vy3UsLoIZshpHwYYIABBhhggAEGGGCAgXoDSgkGiYbJDDDAAAMMMMAAAwwwwEAbA72WEk47N/1iLFFI+Pnj44vHk67v/Gbuir6AUsIEFz6XEuqKB/m58msdJnipsXdVSqgfrhk6yoUBBhhggAEGGGCAAQYYGG1AKcHwsc3w0T7cMMAAAwwwwAADDDDAQJ+lhF867bzU5TL2TVkbNkpAKaFRXEduHJ+AEIWE+JqG+GSE8id/hUNdYaHcbtqPlRJGD9kMIeXDAAMMMMAAAwwwwAADDNQbUEowSDRMZoABBhhggAEGGGCAAQbaGOi1lPAv56Vf6nCZ9r1bx3s4AaWECSXkr2mIYkLdUi0rTPhye+6ulFA/XDN0lAsDDDDAAAMMMMAAAwwwMNqAUoLhY5vho324YYABBhhggAEGGGCAgV5LCaefl34pligmdPB4z5uxNmiVgFJCq9iO3Cl/VUNZSuj7axvyGSkljB6yGULKhwEGGGCAAQYYYIABBhioN6CUYJBomMwAAwwwwAADDDDAAAMMtDHQbynh/PRLp3e35Huufk83AaWE6eY586MpJdQP1wwd5cIAAwwwwAADDDDAAAMMjDaglGD42Gb4aB9uGGCAAQYYYIABBhhgoM9Swi+/9fzU5TLzm71LegJKCUt2YZUSRg/ZDCHlwwADDDDAAAMMMMAAAwzUG1BKMEg0TGaAAQYYYIABBhhggAEG2hjot5RwQfrlt8YS5YSfPz69eDzh+iW7dTw3b0cpYW4uxXRORCmhfrhm6CgXBhhggAEGGGCAAQYYYGC0AaUEw8c2w0f7cMMAAwwwwAADDDDAAAO9lhLedkH65Q6X6dyxdZRqAkoJ1UT2+PvgwYNpY2Mjra+vp+3t7cHjtbW1NGyJbWOfvn6UEkYP2Qwh5cMAAwwwwAADDDDAAAMM1BtQSjBINExmgAEGGGCAAQYYYIABBtoY6LWU8PYL0i93uPR1T3fVXkcpoeEVn/dSwknvOCuddNJJ6Zmv/YBFBgwwwAADDDDAAAMMMMAAA2Mb+NP9n0nP+8Q1FhkwwAADDDDAAAMMMMAAAww0MtBnKeGxb78wxRLFhC4eN7x1bPMxE1BKGDOoRdns5DM+MCglPOLpr08WGTDAAAMMMMAAAwwwwAADDIxrYPO8A6nNfxFjH/8lFQMMMMAAAwwwwAADDDCw2gZ6LSW848L02A6XRbknvGjnqZSwaFdsj/NVSjBwHHfgaDtWGGCAAQYYYIABBhhgoDSglLDaQ0RDZNefAQYYYIABBhhggAEG2hros5Tw399xUepy2eNWrKdbJqCU0DC4/PUNa2traZxlY2MjxT59/SglGCqWQ0WPeWCAAQYYYIABBhhggIFxDSglGEC2HUDajx0GGGCAAQYYYIABBlbbQK+lhDMuSv89lignHHp8YfF4svV93dNdtddRSmh4xZUSDPTGHejZjhUGGGCAAQYYYIABBhhYJANKCas9RDREdv0ZYIABBhhggAEGGGCgrYE+SwmPO+Oi1OXS8NaxzcdMQClhzKCGbba9vT34xIStra0jNtm3b99gfTzf549PSjD0XKShp3PllQEGGGCAAQYYYICB+TGglGAA2XYAaT92GGCAAQYYYIABBhhYbQO9lhLe+Yn0uA6XPu/rrtJrKSVMcLV3d3fT5ubmYInH5U/+RIV4vvpcud20HyslzM9Az3DVtWCAAQYYYIABBhhggIFFMqCUsNpDRENk158BBhhggAEGGGCAAQbaGuizlPAr7/xEiiWKCV08nva9W8d7OAGlhAkkjCoe5Oc2NjZSPO7rRynB0HORhp7OlVcGGGCAAQYYYIABBubHgFKCAWTbAaT92GGAAQYYYIABBhhgYLUN9FpKeNcn0q90uPR1T3fVXkcpYYIrnj8pYW1tLQ37+gaflDA/AzbDTteCAQYYYIABBhhggAEGGBhuQClhtYeIhsiuPwMMMMAAAwwwwAADDLQ10Gcp4fHvujh1uUxw69iuIxJQShgRzjhPbW9vpyglDFvi+T5/fFLC8AGb4aNsGGCAAQYYYIABBhhggIHhBpQSDCDbDiDtxw4DDDDAAAMMMMAAA6ttoNdSwpkXp8fHEuWEQ48/UTyebH2f93VX6bWUEqZwtXd2dtL6+voRxYS+v7Yhvw2lhOEDNsNH2TDAAAMMMMAAAwwwwAADww0oJaz2ENEQ2fVngAEGGGCAAQYYYICBtgb6LCX86pmXpC6XfM/V7+kmoJQw3TxnfjSlhOEDNsNH2TDAAAMMMMAAAwwwwAADww0oJRhAth1A2o8dBhhggAEGGGCAAQZW20CvpYR3X5J+tcNl5jd7l/QElBKW7MIqJQwfsBk+yoYBBhhggAEGGGCAAQYYGG5AKWG1h4iGyK4/AwwwwAADDDDAAAMMtDXQZynhCe+5JMUSxYQuHi/ZreO5eTtKCXNzKaZzIkoJwwdsho+yYYABBhhggAEGGGCAAQaGG1BKMIBsO4C0HzsMMMAAAwwwwAADDKy2gX5LCZ9MT3hPd8t07tg6SjUBpYRqIi3+PnjwYNrY2Ehra2tpfX093XjjjWlzczNtbW21ONpkuyglDB+wGT7KhgEGGGCAAQYYYIABBhgYbkApYbWHiIbIrj8DDDDAAAMMMMAAAwy0NdBrKeG9n0xP6HCZ7E6tvYcloJQwLJkx129vbw/KCFFIyKWEWJdLCn0XE5QShg/YDB9lwwADDDDAAAMMMMAAAwwMN6CUYADZdgBpP3YYYIABBhhggAEGGFhtA32WEp74vk+mWKKYcPjxJcXjydaPeYvYZg0TUEpoGFi5+e7u7uATEeLTEXZ2dlKUEfLj/OkJUU6Ix339KCUMH7AZPsqGAQYYYIABBhhggAEGGBhuQClhtYeIhsiuPwMMMMAAAwwwwAADDLQ10Gcp4UnvuzR1ufR1T3fVXkcpYYIrnosH8VUNUVAoSwm5sKCUMHzgZRgoGwYYYIABBhhggAEGGGBgfgwoJRhAth1A2o8dBhhggAEGGGCAAQZW20CvpYT3X5qe1OEywa1ju45IQClhRDh7PZWLB/G1DVFIKEsJ8TjW58LCXsea1vM+KWF+BnqGq64FAwwwwAADDDDAAAMMLJIBpYTVHiIaIrv+DDDAAAMMMMAAAwww0NZAr6WEsy5NT4oligkdPB51z3Zrayvt27dv1CaeG5KAUsKQYMZdncsHUUCoW+L5Pn+UEgw9F2no6Vx5ZYABBhhggAEGGGBgfgwoJRhAth1A2o8dBhhggAEGGGCAAQZW20CfpYQnn3VZqi5PqlkX27RZP+y+bhQS4l6wUsKwhEavV0oYnc9Yz+avcShLCX1/bUM+UaWE+RnoGa66FgwwwAADDDDAAAMMMLBIBpQSVnuIaIjs+jPAAAMMMMAAAwwwwEBbA32WEp7yr5el6hIFhOq6+LvN+nzPNf/On5y/vr6eTjjhBKWEHEzD30oJDQM0qSHDAAAgAElEQVSb982VEgw9F2no6Vx5ZYABBhhggAEGGGBgfgwoJRhAth1A2o8dBhhggAEGGGCAAQZW20CvpYQPXJaeEkuUE37++MnF40nXV+8Fx6fib25upignxKck+KSEakLj/a2UMF5OtVvlZkx8QkJ8ZMc8/CglzM9Az3DVtWCAAQYYYIABBhhggIFFMqCUsNpDRENk158BBhhggAEGGGCAAQbaGui3lHB5esoHultG3e9VShiVzujnlBJG5zPy2fy1DfFxHTs7OyO37etJpQRDz0UaejpXXhlggAEGGGCAAQYYmB8DSgkGkG0HkPZjhwEGGGCAAQYYYICB1TbQZymha2uj7ukqJYxKZ/RzSgmj8xn5rFLC/AzPDDJdCwYYYIABBhhggAEGGGBgMgNKCas9ROx6sOf4fDHAAAMMMMAAAwwwsLwG+iwlnPChy1Ms4amLx6NuDisljEpn9HNKCaPz2fPZ+B6R+PqG/F0ie+7Q8QY+KWGyIZwhpvwYYIABBhhggAEGGGBgVQ0oJSzvgNDw17VlgAEGGGCAAQYYYICBLg30WUrY+NAVqbqcULMutmmzftStXKWEUemMfk4pYXQ+I5/Nn5QQpYRhy8bGRort+vpRSjBAXdUBqvfNPgMMMMAAAwwwwAADkxlQSjCk7HJI6dh8McAAAwwwwAADDDCwvAb6LCX82tYVqbpEAaG6Lv5us37UPV2lhFHpjH5OKWF0PiOfVUqYbOBlYCg/BhhggAEGGGCAAQYYYGB+DCglLO+A0PDXtWWAAQYYYIABBhhggIEuDfRZSvj1rStSLFE6OPT4Q8XjCdePujmslDAqndHPKSWMzmfhnvVJCfMz0DNcdS0YYIABBhhggAEGGGBgkQwoJRhSdjmkdGy+GGCAAQYYYIABBhhYXgN9lhJ+48NXpi6XUTeHlRJGpTP6OaWE0fks3LNKCYaeizT0dK68MsAAAwwwwAADDDAwPwaUEpZ3QGj469oywAADDDDAAAMMMMBAlwb6LCX85oevTF0uC3dzeEFOWCmh5YXa3t5Oa2trh5ZoxszDj1LC/Az0DFddCwYYYIABBhhggAEGGFgkA0oJhpRdDikdmy8GGGCAAQYYYIABBpbXQJ+lhP/5kStTLFFM6OLxPNzvXcZzUEpocVW3trYOlRHmrZiglGDouUhDT+fKKwMMMMAAAwwwwAAD82NAKWF5B4SGv64tAwwwwAADDDDAAAMMdGmgz1LCUz9yZepyaXHr2C5jJKCUMEZI5Sa7u7tpc3NzUErIn46ws7OT1tfXB0s8nuWPUsL8DPQMV10LBhhggAEGGGCAAQYYWCQDSgmGlF0OKR2bLwYYYIABBhhggAEGltdAn6WE3/rop9JRy0euPHpdbNdi/Szv8y7zayslNLy6Bw8eTBsbG0cVEKKgEJ+aEF/rMMsfpQRDz0UaejpXXhlggAEGGGCAAQYYmB8DSgnLOyA0/HVtGWCAAQYYYIABBhhgoEsDfZYSfvujn0qxRDHh0OOPFI8nXD/L+7zL/NpKCQ2vbi4lRDEhHuefXEqIr3aY5Y9SwvwM9AxXXQsGGGCAAQYYYIABBhhYJANKCYaUXQ4pHZsvBhhggAEGGGCAAQaW10CfpYTf+dinUpfLLO/zLvNrKyU0vLpKCYaKizRUdK68MsAAAwwwwAADDDDAwLgGlBKWd0Bo+OvaMsAAAwwwwAADDDDAQJcG+iwl/O7HrkpdLg1vHdt8zASUEsYMKm+mlGCgN+5Az3asMMAAAwwwwAADDDDAwCIZUEowpOxySOnYfDHAAAMMMMAAAwwwsLwG+iwl/N7Hr0qxRDGhi8f5nrDf001AKaFhnrmUsLa2lsZZql/z0PDlGm/u6xsMPRdp6OlceWWAAQYYYIABBhhgYH4MKCUs74DQ8Ne1ZYABBhhggAEGGGCAgS4N9FlKeNr+q1J1iXJCdV383WZ945uzdhgrAaWEsWI6vJFSwvwMzAwvXQsGGGCAAQYYYIABBhhgYHoGlBIMKbscUjo2XwwwwAADDDDAAAMMLK+BPksJv7//qlRdooBQXRd/t1l/+K6wR9NMQClhmmnOwbF8UsL0BnKGm7JkgAEGGGCAAQYYYICBVTKglLC8A0LDX9eWAQYYYIABBhhggAEGujTQZynhD87+dIolSgddPJ6D271LeQpKCUt2WZUSDE1XaWjqvfLOAAMMMMAAAwwwwMD0DCglGFJ2OaR0bL4YYIABBhhggAEGGFheA32WEv7w7E+nLpclu3U8N29HKWFuLsV0TkQpYXoDOcNNWTLAAAMMMMAAAwwwwMAqGVBKWN4BoeGva8sAAwwwwAADDDDAAANdGuizlPBH53w6dblM546to1QTUEqoJrLgfyslGJqu0tDUe+WdAQYYYIABBhhggIHpGVBKMKTsckjp2HwxwAADDDDAAAMMMLC8BvosJfzxOZ9OsUQxoYvHC36reG5PXylhbi9NuxNTSpjeQM5wU5YMMMAAAwwwwAADDDCwSgaUEpZ3QGj469oywAADDDDAAAMMMMBAlwb6LCU8/dzPpOoS5YTquvi7zfp2d2jttVcCSgl7JbRgzyslGJqu0tDUe+WdAQYYYIABBhhggIHpGVBKMKTsckjp2HwxwAADDDDAAAMMMLC8BvosJfzJuZ9J1SUKCNV18Xeb9Qt2a3hhTlcpYWEu1XgnqpQwvYGc4aYsGWCAAQYYYIABBhhgYJUMKCUs74DQ8Ne1ZYABBhhggAEGGGCAgS4N9FlKeMZ5n0mxROmgi8fj3ZG1VdMElBKaJjbn2yslGJqu0tDUe+WdAQYYYIABBhhggIHpGVBKMKTsckjp2HwxwAADDDDAAAMMMLC8BvosJfzpeZ9JXS5zfit4YU9PKWFhL139iSslTG8gZ7gpSwYYYIABBhhggAEGGFglA0oJyzsgNPx1bRlggAEGGGCAAQYYYKBLA32WEp55/mfT0ctnatbFds3X19+BtXbSBJQSJk1wzvZXSjA0XaWhqffKOwMMMMAAAwwwwAAD0zOglGBI2eWQ0rH5YoABBhhggAEGGGBgeQ30WUp41vmfTbFEMaGLx3N263dpTkcpYWku5cNvRClhegM5w01ZMsAAAwwwwAADDDDAwCoZUEpY3gGh4a9rywADDDDAAAMMMMAAA10a6LOU8GcXfDZVlygnVNfF323WL9mt47l5O0oJc3MppnMiSgmGpqs0NPVeeWeAAQYYYIABBhhgYHoGlBL+b3v3FitLlud3vR55AAn5wZIliwdjP2DZ6icswRti1PXgN5BmhhfE1WXuGBgMGOOhbUOPDTYGbAZwY2yKsbm5a6ZnpmfG40tVn75MX6bvXfucstvTbvthpNI8dJ19OXXO3oH+EfmPzIi9c2dmZERmXD4lRa9ckZERK7753fucXut3/mGScshJSufmFwc4wAEOcIADHOAAB+brwClDCf/SW3+raG8RQGjvi36X/f2s2DpLm4BQQpvIxPtCCf1NyJncxJIDHOAABzjAAQ5wgAMcWJIDQgnznSA0+eu75QAHOMABDnCAAxzgAAeGdOCUoYR/+affLmKL0MEQrye+VDza4QsljPar6TYwoQSTpkuaNHWvfOcABzjAAQ5wgAMc4EB/DgglmKQccpLSufnFAQ5wgAMc4AAHOMCB+TpwylDCv/LTbxftLcIJ7X3R77K/2wqtT+0iIJSwi9DE3hdK6G9CzuQmlhzgAAc4wAEOcIADHODAkhwQSpjvBKHJX98tBzjAAQ5wgAMc4AAHODCkA6cMJfyrP/N20d4igNDeF/0u+ye2NDyZ4QolTOar2m+gQgkmTZc0aepe+c4BDnCAAxzgAAc4wIH+HBBKMEk55CSlc/OLAxzgAAc4wAEOcIAD83XglKGEf+1n3ilii9DBEK/3W5F11KEEhBIOJTby44US+puQM7mJJQc4wAEOcIADHOAABziwJAeEEuY7QWjy13fLAQ5wgAMc4AAHOMABDgzpwClDCf/6p94p2luEE9r7ot9l/8iXgic7PKGEyX51Dw9cKMGk6ZImTd0r3znAAQ5wgAMc4AAHONCfA0IJJimHnKR0bn5xgAMc4AAHOMABDnBgvg6cO5TwUCCh676HV2DtPZaAUMKxBEf2eaGE/ibkTG5iyQEOcGAeDvzOH/7x4jf99t9TvPbaa/X2W/+pHy58v/P4fn2PvkcOcIAD/TkglDDfCUKTv75bDnCAA8c78Lt+/x8sfus/83uLf/bP/0yB5/E8McSQAxzgwLwcOGUo4ff97DtFbBE6WL9+e+P1cftHtvQ7m+EIJYz0q7y4uCh+9Ed/tHj//fcPGqFQQn8TciY3seQABzgwfQf+iX/uDxX/8G/5HWUoIcIJ8Z3+jt/7B4p/6B/9LcVv/t0/JJjwL0z/O/Zz6jvkAAc40J8DQgnzmhQ0yev75AAHONCfA//kH/5TZchdKKE/pvzEkgMc4MC8HDhlKOGNn/1M0d4inNDeF/0u+w9amHXw3gSEEvZGdboDI5DwkY98pHj99deFEiyWWDDjAAc4wIEjHPhtP/T7ygBCBBE2F62iUkKEFSK0sLnf6/4WtrDEkgMc4MD0HBBKmNekoEle3ycHOMCBfhz4x//5f3FddU+lBFUi/lI/Xvn5xJEDHJibA6cMJfz+n/tM0d4igNDeF/0u+0+3IrysKwkljOz7fvPNN8u/5P7Ij/yIUMIRi1AmQKc3Aeo7851xgAOndCBCCVEtoR1WOOUYXIvzHOAABzgwNgeEEkyMzm1i1P1wmgMcONaBCCT8I//Ybyv+6Z/4RBGvVUrg1LFO+TyHOMCBuTpwylDCv/Fznylii9DBEK9HtnQ8m+EIJYzoq4xHNcQjG6JSwpMnT4QShBL8610OcIADHBjIgXh0g0oJFgPHthhoPJzkAAfO7YBQggnSuU6Qui9uc4ADfTgglMCjPjxyDh5xgANzdeCUoYR/8+efFO0twgntfdHvsn9ES8ezGopQwki/TqEEE5LnnpB0fQ5ygANzdSAe6fDaa68VUS1hrvfovvz8coADHOBAFweEEkyQznWC1H1xmwMc6MMBoQQe9eGRc/CIAxyYqwOnDCX8Wz//pGhvEUBo74t+l/0jXTqe/LCEEkb6FQolmETsMonoM7zhAAc48LgD8biGeGzDb/rtv6f4nT/840IJA1Wi4OHjHuKDDwc4MFYHhBJMkM51gtR9cZsDHOjDAaEEHvXhkXPwiAMcmKsDpwwl/NufflLEFqGD9evPbLw+bv9Il44nPyyhhJF+hY+FEr73ve8VH//4xx/dxjrJZVwmYDnAAQ5w4FwOCCRw71zuuS73OMCBqTgglGCCdK4TpO6L2xzgQB8OCCXwqA+PnINHHODAXB04ZSjh3/n0k2LIbaRLx5MfllDCSL/CXaGEeP+h7U/86T9bhhWmMullnCZoOcABDnDgFA7kIxtUSODbKXxzDZ5xgANTdUAowQTpXCdI3Re3OcCBPhwQSuBRHx45B484wIG5OnDKUMK/+wufLe5tn35yf18c12H/SJeOJz8soYSRfoWPhRIeG/Kf/HN/UShBKWrlyDnAAQ5wYMOBDCT85t/9Q7hscJnqgplxW+zlAAc4MJwDQgkmSOc6Qeq+uM0BDvThgFACj/rwyDl4xAEOzNWBs4cSHgoqdNz32Dqs97oTEErozm7QTwolDDfRZhITWw5wgAPLcSAf2SCQsJzv3M+375oDHOBAdweEEkyQznWC1H1xmwMc6MMBoQQe9eGRc/CIAxyYqwOnDCX8e7/42aK9ReWE9r7od9k/6ALwgk8ulDDSL18ooftEmklI7DjAAQ5wIB2IMMJrr722dYsqCnmsljcc4AAHOLB0B4QSTJDOdYLUfXGbAxzowwGhBB714ZFz8IgDHJirA6cMJfz7v/jZor1FAKG9L/pd9o906XjywxJKmPxX2LwBj28wkbr0iVT372eAAxzgAAc4wAEOcIAD3RwQSjBBOtcJUvfFbQ5wgAMc4AAHOMABDgzrwClDCX/glz5XxBahgyFeN1de9foiIJTQF8mRnEcoodvkm0lL3DjAAQ5wgAMc4AAHOMCBpTsglDDsJJ1JUHw5wAEOcIADHOAABzjAgbk6cMpQwn/wS58r2luEE9r7ot9l/0iWfGc3DKGEmX2lQgkmUpc+ker+/QxwgAMc4AAHOMABDnCgmwNCCSZI5zpB6r64zQEOcIADHOAABzjAgWEdOGUo4T/8a58r2lsEENr7ot9l/8yWjkdzO0IJo/kq+hmIUEK3yTeTlrhxgAMc4AAHOMABDnCAA0t3QChh2Ek6k6D4coADHOAABzjAAQ5wgANzdeDcoYSHAgld9/WzYussbQJCCW0iE+8LJZhIXfpEqvv3M8ABDnCAAxzgAAc4wIFuDgglmCCd6wSp++I2BzjAAQ5wgAMc4AAHhnXglKGE/+iXP1+0twggtPdFv8v+iS8Vj3b4Qgmj/Wq6DUwoodvkm0lL3DjAAQ5wgAMc4AAHOMCBpTsglDDsJJ1JUHw5wAEOcIADHOAABzjAgbk6cMpQwo/98ueL9hYBhPa+6HfZ322F1qd2ERBK2EVoYu8LJZhIXfpEqvv3M8ABDnCAAxzgAAc4wIFuDgglmCCd6wSp++I2BzjAAQ5wgAMc4AAHhnXglKGE//ivf76ILUIH69ef23h93P6JLQ1PZrhCCZP5qvYbqFBCt8k3k5a4cYADHOAABzjAAQ5wgANLd0AoYdhJOpOg+HKAAxzgAAc4wAEOcIADc3XglKGEP/jXP1+0twgntPdFv8v+/VZkHXUoAaGEQ4mN/HihBBOpS59Idf9+BjjAAQ5wgAMc4AAHONDNAaEEE6RznSB1X9zmAAc4wAEOcIADHODAsA6cMpTwn/yNLxTtLQII7X3R77J/5EvBkx2eUMJkv7qHBy6U0G3yzaQlbhzgAAc4wAEOcIADHODA0h0QShh2ks4kKL4c4AAHOMABDnCAAxzgwFwdOGUo4T/9G18oYovQwRCvH16BtfdYAkIJxxIc2eeFEkykLn0i1f37GeAABzjAAQ5wgAMc4EA3B4QSTJDOdYLUfXGbAxzgAAc4wAEOcIADwzpwylDCf/Y3v1C0twgntPdFv8v+kS39zmY4Qgmz+SqrGxFK6Db5ZtISNw5wgAMc4AAHOMABDnBg6Q4IJQw7SWcSFF8OcIADHOAABzjAAQ5wYK4OnDKU8If+5q8U7S0CCO190e+yf2ZLx6O5HaGE0XwV/QxEKMFE6tInUt2/nwEOcIADHOAABzjAAQ50c0AowQTpXCdI3Re3OcABDnCAAxzgAAc4MKwDpwwl/Od/61eK2CJ0MMTrflZsnaVNQCihTWTifaGEbpNvJi1x4wAHOMABDnCAAxzgAAeW7oBQwrCTdCZB8eUABzjAAQ5wgAMc4AAH5urAOUIJGUjou534UvFohy+UMNqvptvAhBJMpC59ItX9+xngAAc4wAEOcIADHOBANweEEkyQznWC1H1xmwMc4AAHOMABDnCAA8M6cMpQwh9++4tFe4tgQntf9Lvs77ZC61O7CAgl7CI0sfeFErpNvpm0xI0DHOAABzjAAQ5wgAMcWLoDQgnDTtKZBMWXAxzgAAc4wAEOcIADHJirA6cMJfwX73yxiC1CB0O8ntjS8GSGK5Qwma9qv4EKJZhIXfpEqvv3M8ABDnCAAxzgAAc4wIFuDgglmCCd6wSp++I2BzjAAQ5wgAMc4AAHhnXglKGEP/LOF4v2FuGE9r7od9m/34qsow4lIJRwKLGRHy+U0G3yzaQlbhzgAAc4wAEOcIADHODA0h0QShh2ks4kKL4c4AAHOMABDnCAAxzgwFwdOGUo4cc/86Uitj/yTtVWr79Y7utj/8iXgic7PKGEyX51Dw9cKMFE6tInUt2/nwEOcIADHOAABzjAAQ50c0AowQTpXCdI3Re3OcABDnCAAxzgAAc4MKwDpwwl/Jef+VIRWwQQ6tfvbLw+cv/DK7D2HktAKOFYgiP7vFBCt8k3k5a4cYADHOAABzjAAQ5wgANLd0AoYdhJOpOg+HKAAxzgAAc4wAEOcIADc3XglKGEj33mS0V7i3BCe1/0u+wf2dLvbIYjlDCbr7K6EaEEE6lLn0h1/34GOMABDnCAAxzgAAc40M0BoQQTpHOdIHVf3OYABzjAAQ5wgAMc4MCwDpwylPBHn3ypaG8RQGjvi36X/TNbOh7N7QgljOar6GcgQgndJt9MWuLGAQ5wgAMc4AAHOMABDizdAaGEYSfpTILiywEOcIADHOAABzjAAQ7M1YFThhL+2JMvFbFF6GCI1/2s2DpLm4BQQpvIxPtCCSZSlz6R6v79DHCAAxzgAAc4wAEOcKCbA0IJJkjnOkHqvrjNAQ5wgAMc4AAHOMCBYR04aSjhs18u/lhsT1Zt+fpL1b4e9k98qXi0wxdKGO1X021gQgndJt9MWuLGAQ5wgAMc4AAHOMABDizdAaGEYSfpTILiywEOcIADHOAABzjAAQ7M1YFThhL++Ge/XMQWwYQhXndbofWpXQSEEnYRmtj7QgkmUpc+ker+/QxwgAMc4AAHOMABDnCgmwNCCSZI5zpB6r64zQEOcIADHOAABzjAgWEdOGUo4b/63JeL2CKQMMTriS0NT2a4QgmT+ar2G6hQQrfJN5OWuHGAAxzgAAc4wAEOcIADS3dAKGHYSTqToPhygAMc4AAHOMABDnCAA3N14JShhP/6c18u2luEE9r7ot9l/34rso46lIBQwqHERn68UIKJ1KVPpLp/PwMc4AAHOMABDnCAAxzo5oBQggnSuU6Qui9uc4ADHOAABzjAAQ5wYFgHThlK+Pjnv1y0twggtPdFv8v+kS8FT3Z4QgmT/eoeHrhQQrfJN5OWuHGAAxzgAAc4wAEOcIADS3dAKGHYSTqToPhygAMc4AAHOMABDnCAA3N14JShhJ/4/JeL2CJ0MMTrh1dg7T2WgFDCsQRH9nmhBBOpS59Idf9+BjjAAQ5wgAMc4AAHONDNAaEEE6RznSB1X9zmAAc4wAEOcIADHODAsA6cNJTwha8UPxHb51dt+frL1b4e9o9s6Xc2wxFKmM1XWd2IUEK3yTeTlrhxgAMc4AAHOMABDnCAA0t3QChh2Ek6k6D4coADHOAABzjAAQ5wgANzdeCUoYQ/8YWvFLFFMGGI1zNbOh7N7QgljOar6GcgQgkmUpc+ker+/QxwgAMc4AAHOMABDnCgmwNCCSZI5zpB6r64zQEOcIADHOAABzjAgWEdOGUo4U/+yleK2CKQMMTrflZsnaVNQCihTWTifaGEbpNvJi1x4wAHOMABDnCAAxzgAAeW7oBQwrCTdCZB8eUABzjAAQ5wgAMc4AAH5urAKUMJ/82vfKVobxFOaO+Lfpf9E18qHu3whRJG+9V0G5hQgonUpU+kun8/AxzgAAc4wAEOcIADHOjmgFCCCdK5TpC6L25zgAMc4AAHOMABDnBgWAdOGUr4b7/4laK9RQChvS/6XfZ3W6H1qV0EhBJ2EZrY+0IJ3SbfTFrixgEOcIADHOAABzjAAQ4s3QGhhGEn6UyC4ssBDnCAAxzgAAc4wAEOzNWBU4YS/tQXv1LEFqGDIV5PbGl4MsMVSpjMV7XfQIUSTKQufSLV/fsZ4AAHOMABDnCAAxzgQDcHhBJMkM51gtR9cZsDHOAABzjAAQ5wgAPDOnDKUMKf/tKvFrFFIGGI1/utyDrqUAJCCYcSG/nxQgndJt9MWuLGAQ5wgAMc4AAHOMABDizdAaGEYSfpTILiywEOcIADHOAABzjAAQ7M1YFzhBIykNB3O/Kl4MkOTyhhsl/dwwMXSjCRuvSJVPfvZ4ADHOAABzjAAQ5wgAPdHBBKMEE61wlS98VtDnCAAxzgAAc4wAEODOvAKUMJ/92Xf7WILcIIQ7x+eAXW3mMJCCUcS3BknxdK6Db5ZtISNw5wgAMc4AAHOMABDnBg6Q4IJQw7SWcSFF8OcIADHOAABzjAAQ5wYK4OnDKU8Ge+/KtFbBFIGOL1yJZ+ZzMcoYTZfJXVjQglmEhd+kSq+/czwAEOcIADHOAABzjAgW4OCCWYIJ3rBKn74jYHOMABDnCAAxzgAAeGdeCUoYT//itfLdpbhBPa+6LfZf/Mlo5HcztCCaP5KvoZiFBCt8k3k5a4cYADHOAABzjAAQ5wgANLd0AoYdhJOpOg+HKAAxzgAAc4wAEOcIADc3XglKGE/+ErXy1ii9DBEK/7WbF1ljYBoYQ2kYn3hRJMpC59ItX9+xngAAc4wAEOcIADHOBANweEEkyQznWC1H1xmwMc4AAHOMABDnCAA8M6cMpQwv/4q18tYotAwhCvJ75UPNrhCyWM9qvpNjChhG6TbyYtceMABzjAAQ5wgAMc4AAHlu6AUMKwk3QmQfHlAAc4wAEOcIADHOAAB+bqwDlCCRlI6LvttkLrU7sICCXsIjSx94USTKQufSLV/fsZ4AAHOMABDnCAAxzgQDcHhBJMkM51gtR9cZsDHOAABzjAAQ5wgAPDOnDKUMKf/erXitgijDDE64ktDU9muEIJk/mq9huoUEK3yTeTlrhxgAMc4AAHOMABDnCAA0t3QChh2Ek6k6D4coADHOAABzjAAQ5wgANzdeCUoYQ/99WvFe0twgntfdHvsn+/FVlHHUpAKOFQYiM/XijBROrSJ1Ldv58BDnCAAxzgAAc4wAEOdHNAKMEE6VwnSN0XtznAAQ5wgAMc4AAHODCsA6cMJfxPX/taUW5fXbVfqwIJfe0f+VLwZIcnlDDZr+7hgQsldJt8M2mJGwc4wAEOcIADHOAABziwdAeEEoadpDMJii8HOMABDnCAAxzgAAc4MFcHThlK+Mmvfa2ILUIIQ7x+eAXW3mMJCCUcS3BknxdKMJG69IlU9+9ngAMc4AAHOMABDnCAA90cEEowQTrXCVL3xW0OcIADHOAABzjAAQ4M68ApQwn/89e/VsQWgYQhXqWcUpUAACAASURBVI9s6Xc2wxFKmM1XWd2IUEK3yTeTlrhxgAMc4AAHOMABDnCAA0t3QChh2Ek6k6D4coADHOAABzjAAQ5wgANzdeCUoYT/5etfK2KLQMIQr2e2dDya2xFKGM1X0c9AhBJMpC59ItX9+xngAAc4wAEOcIADHOBANweEEkyQznWC1H1xmwMc4AAHOMABDnCAA8M6cMpQwv/6ja8XsUUgYYjX/azYOkubgFBCm8jE+0IJ3SbfTFrixgEOcIADHOAABzjAAQ4s3QGhhGEn6UyC4ssBDnCAAxzgAAc4wAEOzNWBU4YS/vw3vl60twgntPdFv8v+iS8Vj3b4Qgmj/Wq6DUwowUTq0idS3b+fAQ5wgAMc4AAHOMABDnRzQCjBBOlcJ0jdF7c5wAEOcIADHOAABzgwrAOnDCV84ptfL8rtG6v2m1Ugoa/93VZofWoXAaGEXYQm9r5QQrfJN5OWuHGAAxzgAAc4wAEOcIADS3dAKGHYSTqToPhygAMc4AAHOMABDnCAA3N14CyhhAwn9NxObGl4MsMVSpjMV7XfQIUSTKQufSLV/fsZ4AAHOMABDnCAAxzgQDcHhBJMkM51gtR9cZsDHOAABzjAAQ5wgAPDOnDKUML/9q2vF7FFZYQhXu+3IuuoQwkIJRxKbOTHCyV0m3wzaYkbBzjAAQ5wgAMc4AAHOLB0B4QShp2kMwmKLwc4wAEOcIADHOAABzgwVwdOGUr4C9/6ehFbBBKGeD3ypeDJDk8oYbJf3cMDF0owkbr0iVT372eAAxzgAAc4wAEOcIAD3RwQSjBBOtcJUvfFbQ5wgAMc4AAHOMABDgzrwClDCf/7t79RxBaBhCFeP7wCa++xBIQSjiU4ss8LJXSbfDNpiRsHOMABDnCAAxzgAAc4sHQHhBKGnaQzCYovBzjAAQ5wgAMc4AAHODBXB04ZSviL3/5GEVsEEoZ4PbKl39kMRyhhNl9ldSNCCSZSlz6R6v79DHCAAxzgAAc4wAEOcKCbA0IJJkjnOkHqvrjNAQ5wgAMc4AAHOMCBYR04ZSjhL33nG0VsEUgY4vXMlo5HcztCCaP5KvoZiFBCt8k3k5a4cYADHOAABzjAAQ5wgANLd0AoYdhJOpOg+HKAAxzgAAc4wAEOcIADc3XglKGE/+M73yhii0DCEK/7WbF1ljYBoYQ2kYn3hRJMpC59ItX9+xngAAc4wAEOcIADHOBANweEEkyQznWC1H1xmwMc4AAHOMABDnCAA8M6cMpQwpvvfqOILQIJQ7ye+FLxaIcvlDDar6bbwDKUEK0NAw5wgAMc4AAHOMABDnCAAxzY14E//hf+cvFn/spftWHAAQ5wgAMc4AAHOMABDnCAAwc58KlPfar4jd/4jW6Lmwd+6v989xtFbBFIGOL1gcNx+J4EhBL2BDWVw771rW8VP/mTP1l8/OMft2HAAQ5wgAMc4AAHOMABDnCAAxzgAAc4wAEOcIADHOAABzjAAQ4M6sAnPvGJk4USfurim0VsEUgY4vVU1oSnNk6hhKl9Y8aLAAIIIIAAAp0JRGjvyZMnnT/vgwgggAACCCCAAAIIIIAAAssj4P9LLu87d8cIIIAAAuMl8JcvvlnEFoGEIV6P986nPTKhhGl/f0aPAAIIIIAAAgcQMJF0ACyHIoAAAggggAACCCCAAAIIlAT8f0kiIIAAAgggMB4Cf+XpN4vYIpAwxOvx3Om8RiKUMK/v090ggAACCCCAwCMETCQ9AsdbCCCAAAIIIIAAAggggAACDxLw/yUfxGInAggggAACZyHwfz39ZhFbBBKGeH2Wm1rARYUSFvAlu0UEEEAAAQQQqAiYSGICAggggAACCCCAAAIIIIDAoQT8f8lDiTkeAQQQQACB4Qj838++VcQWgYQhXg838mWfWShh2d+/u0cAAQQQQGBRBEwkLerrdrMIIIAAAggggAACCCCAQC8E/H/JXjA6CQIIIIAAAr0Q+H+efauILQIJQ7zuZZBOco+AUMI9JHYggAACCCCAwFwJmEia6zfrvhBAAAEEEEAAAQQQQACB4Qj4/5LDsXVmBBBAAAEEDiXw/773rSK2CCSsX39z4/Vx+w8dj+P3IyCUsB8nRyGAAAIIIIDADAj81E/9VPHkyZMZ3IlbQAABBBBAAAEEEEAAAQQQOBUB/1/yVKRdBwEEEEAAgd0E/r/3vlXEFoGEIV7vHoEjuhAQSuhCzWcQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBE5K4K/+7W8XsUUgYYjXJ72ZBV1MKGFBX7ZbRQABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBKZK4JN/+9tFbBFIGOL1VLmMfdxCCWP/howPAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQKB46+98u9wikDDE64cQf+xjHytee+21cnv99deL999//6HD7HuEgFDCI3C8hQACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCAwDgI//d1vF7FFIGGI1+27fPPNN4vNIEIEFN54443i6uqqfaj+IwSEEh6B4y0EEEAAAQQQmC6BSKvGXxYzwbrZbv4lcrp3aOQIIIAAAggggAACCCCAAAIIIIAAAggggMCyCPzMd79TxFYFEqKtXve1f5NmzjE/efKk3v3QvvpNL7YSEErYisYbCCCAAAIIIDBVApFe/chHPlJcXFw8eAuxP96P4/yHAAIIIIAAAggggAACCCCAAAIIIIAAAgggMA0Cn/q73yliixDCEK83KcQ88kc/+tF788xRLcHc8iap3a+FEnYzcgQCCCCAAAIITIjAvknVSLeqmDChL9ZQEUAAAQQQQAABBBBAAIGBCeT/n9ystLfttf8/OfCX4fQIIIAAAghsIfCzf/c7RWwRSBji9eZlt80hRyghNv/tT0AoYX9WjkQAAQQQQACBCRDISaTNkloPDXvbXygfOtY+BBBAAAEEEEAAAQQQQACB5RBoPzt6OXfuThFAAAEEEBg/gZ/7te8UsUUgYYjXmwS2zSELJWxS2u+1UMJ+nByFAAIIIIAAAhMi4PENE/qyDBUBBBBAAAEEEEAAAQQQGCGBWGx44403iqurqxGOzpAQQAABBBBYLoGf/967RWwRSBji9SZZoYRNGse9Fko4jp9PI4AAAggggMBICWTFhIdKbSqzOdIvzbAQQAABBBBAAAEEEEAAAQQQQAABBBBAAIFHCHz6e+8WsUUgYYjXm5e+uLgoPvrRjxbRbv4X4cX4h3H+25+AUML+rByJAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIHAmAr/w994tYotAwi+stk9/7zvlvj72b95W/sO3zUcFP7Rv8zNeP0xAKOFhLvYigAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCIyIwC/+vXeL2CKAMMTr9q1GRYTNyrse8dQmtF9fKGE/To5CAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEDgjgV/6/kURWwQShnj90K1FECEfE7wZUHjoWPseJiCU8DAXexFAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEERkTgr33/oogtAglDvB7Rrc5qKEIJs/o63QwCCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCAwTwK//PcvitgikDDE63lSO/9dCSWc/zswAgQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQACBHQS++4P3iyG3HZf3dkcCQgkdwfkYAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCDxOQCjhcT7eRQABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAIGOBIQSOoLzMQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBB4nIBQwuN8vIsAAggggAACCCCAAAIIIIDAqAi8//77xeuvv1689tpr5faxj33s6PG9+eabRR/neWggm+N98uTJQ4fYhwACCCCAAAIIIIAAAggggAACMyYglDDjL9etIYAAAggggAACCCCAAAIIzI9ALOxnICHaj3zkI8XFxUXnG40wQpxHKKEzQh9EAAEEEEAAAQQQQAABBBBAAIFHCAglPALHWwgggAACCCCAAAIIIIAAAgiMjUCGCH7sx36seOONN8pAQVQ66Ppfnk8ooStBn0MAAQQQQAABBBBAAAEEEEAAgccICCU8Rsd7CCCAAAIIIIAAAggggAACCIyIQPtRCBFGiCoHEU64urq6N9LN47O6QgYY4vgMNeR70UYlhm1BhV378zzxeIm4dvy3OQaPb7j3FdmBAAIIIIAAAggggAACCCCAwOwJCCXM/it2gwgggAACCCCAAAIIIIAAAnMhkI9uyEX/eGxDPL7hoUc45HsZFNhsI5jQVyghgwqb54/XOUahhLnY5z4QQAABBBBAAAEEEEAAAQQQ6EZAKKEbN59CAAEEEEAAAQQQQAABBBBA4OQEMgAQbfy3GSzIfTmoPDbDAbE/Kyts7svjNj//0L74fHt/Bh82z5fBiQxKCCXkN6JFAAEEEEAAAQQQQAABBBBAYJkEhBKW+b27awQQQAABBBBAAAEEEEAAgYkR2La4/1DQYDOskI9r2Ha77aBBHPfQvsf2x3sZUMiKCUIJ24jbjwACCCCAAAIIIIAAAggggMCyCAglLOv7drcIIIAAAggggAACCCCAAAITJZAVCHLR/6E2jon/tgUYHrr1hwIID+2Lz7b3b4Yf2uMRSniItn0IIIAAAggggAACCCCAAAIILI+AUMLyvnN3jAACCCCAAAIIIIAAAgggMDECjy3+b4YBIjQQ/20ef0ylhDfeeKM8V/uceZ2s0hBjyEBEhieEEiYmmeEigAACCCCAAAIIIIAAAgggMBABoYSBwDotAggggAACCCCAAAIIIIAAAn0R2Hw0wkMhgwwHZBAgrptVDV5//fWyckLsawcGNo/LoMHmvoc+GwGEPDavsRleyH05lkOqNsS1/YcAAggggAACCCCAAAIIIIAAAvMiIJQwr+/T3SCAAAIIIIAAAggggAACCMyQwEOhg83bfCi0sLlvs5rCZqggzpEhgjwmrpXhhdzXbjOU8NhxQgmb35DXCCCAAAIIIIAAAggggAACCCyXgFDCcr97d44AAggggAACCCCAAAIIIDABApuPYtisSLA59G3HbO7PYEG70sJmJYM4Jt/PIMTm5zLAkKGEGMPmcVFZ4fvf/34R48xzbZ4/Qgz+QwABBBBAAAEEEEAAAQQQQACBZREQSljW9+1uEUAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQKAnc3d0Vd3dFUbXx+oF+0Xr/wP6z994rnj17Vtzc3FTbixfr17Fvj/5rL168KM69ZbqCOwgggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCydQDNokIGD07cRSGiEEjKccEArlLB0m90/AggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggMDJCJw3cNCqnLCj0sKzZ61KCTetSgl79IUSTqaWCyGAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIzJ3AeUMH/VZTUClh7ra6PwQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQACB0RFYBw9alQeKcfUD3HqsdyXHQ/rvvdeslPDiRbNSwj59lRJGp68BIYAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAgiMgcDmAv4SX6uUMAYLjQEBBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAYLIEhg0bNCsV3N1Nq//sWbNSwk2rUsI+fZUSJvujYeAIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAvsSGDZ8cNd4TMJcrqVSwr52OQ4BBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAYDEE1qGAVmWCYth+AF5f+67kfZ5+NY71eLr133svKyW8KG5ubooXdaWE/fsqJSzmx86NIoAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAvMisLng73X/1RpUSpjXz4u7QQABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBDYQqCf0EGzksHd3Zn7rcoKUVuhcZ9n7j+rKyXclJUSbupKCfv3VUrYIrTdCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAALnIdBYmL/rvwKA8+/HVKWE8/jvqggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACPRFoBAQGrgwQQ9683nD96jrr80+z/15dKeFFWSnhRV0pYf++Sgk9/aA4DQIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIDA4wQ2AwFe71et4JycVEp43GfvIoAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAgiciUA/i+nNygZ3dwP3W5UU7ibTX3Gpx9tPZQaVEs70w+OyCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAJNAv2EEMZfPWBJ96lSQtNxPQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQACBExGoFudblQvqf6m/Chcc2I+hby7699fvp3LAejwjO9+KWz2+nvp1pYQXL4qbm5vixaq9yfbmpri+vi6uV20c0+6/Fh869xY3Epv/EEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQTGR2AzKOD1vKo53N7eFtu2p0+fFrGVQYMIH+zcVqGE+ribQihhfD/PRoQAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAgiclUD34EGz0sHd3cD9VmWFu7P1V/dZX/+8lRRub+/KoEF8j1XgoFs/Ht9QhRKqsEFdCeF6/75Qwll/lF0cAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQOD+B7iGEeVUNGDuHbRUNhtp/eKWE+9UUhBLO//NtBAgggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggMBJCawX31uVDOp/6b8KGxzYj5tYnzvqFnTtn7fSQFZ4WI9/x3hW91kf36EfwYJgVwYMVu25+3WlhJtWZYQD+kIJ5Y+B/0EAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQTmTWAzLOD16Ss87FfNIB+3cNt47ML6s6d9/+nTfHxDVkCowgnX1/v3hRLm/XvF3SGAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAwEIJdAseNCsbZMWA9bmOfL9VOSFqKazPfVcM199R6eDu+PcblQ5uq/BA3FsVKBh5f0tlBpUSFvrLw20jgAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACbQKNxf2701cCWMr111ULsprBfNunT58WsR1SGWF9bFRTuClUSmj/pOojgAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACEyBQhQD6rTQQt70ZLti/f3ylgbju+no9n291X/X5d/Rvt1QOiDGWoYSJv5/3savNSgk3N9VjG7q0Qgml1v4HAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQGD+BWES29cdgd9WDfPxCVkNYVv/p02cqJYz/14IRIoAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAt0IHB5AaFY6iOIDzXMc2W9VUojaBo3z99avzhvUqvMf17+9rcIEca4qiHDm/kQqLWSlhOtWpYRD+ioldPvZ9ykEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEBgEAKNRX6VEZqhhz147K5+kFUPxtBmSCLHMq6+SgmD/Ig7KQIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIHBaAnUQoa4MsHpEwYH9GHV9riiTsHf/uEoEWZFhfb0Dz7caZ/35PfoRPqgrH4y88kCOc2ptVkq4aVVKOKSvUkL5Y+h/EEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAgdMR2AwOeL0KYDxSBWF79YNxVRbIx0SsxzuV8eU4m+26UsJNcX19XeRjG66v9+8LJZzu94orIYAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIDAggl0Cx80Kx9kRYL1uQ58v1U5IWoprM91V3TvH1gZ4W778dWCfrU4HmM7SX/klRZuzzS+rJSQYYSskHBIXyhhwb/03DoCCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCAxLoLHg/0glgCUft64qcLsKIJyzzRBEjmHZ/XWlhOuqUkJWSIiqCeW2qpjwSF8oYdjfMc6OAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAILI9AIGBxYiSBQbX6+e397JYLq/D2/vxp3Pd4t/bh2GUI407/8z+trq+9hF4eslJAVErq0QgkL+wXodhFAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAoH8Csbhru8/gfhWEZVceuL3N+2+GM+r9GdrI487cf/rsWfH06dPiOisk3GRlhFW7R18oof/fN86IAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAILINAthNCshHB3d2C/VUnhrrf+8ZUTIoCQ//I+F9kH65+50sLtxK+f38uuVqWEBfwic4sIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIDAeArGIa6sY3K+CcFs9muH2lG1WHshr6je/l208cv/j7dOnVaWEq6vr4urqqujSqpQwnt9fRoIAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAiMk0AghHFiZIG5n8/P794+vXBDXXV9vx/lW46yPf6DfqIRw4koBcS+b19fvzuPVq1cly33aeHTDxcVFcX1dhRK6tEIJ5Y+h/0EAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQTWBDaDBEt93fwX93OvRLClYsAqDJGPo8jHNoyt/+rVbREhg1e3q7an/sUqlFBXSFiFEw7pCyWsf694hQACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCyawX/igWfkgihE0P3dgv1VJIWobNM63d7/6XHx91ecP729WIshF9zhXFU5o/sv8g99vVTrIxf36/DN/P++zS7tPRYP4joY4TqWEBf9CdOsIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIHA8gVgkXur2cCWErIgwVJshhzz/Uvp5n822rnCQlQ0ObXuujNCutKBSwvG/Y5wBAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQWRqARQqgrC6zCCTv6gWrz8/v3D69cENdZn3/H51fjqo9/oN+ohDBwZYIY++b1ltwfooLBUJURqvNWgZEYd1Up4WlxvXpsQ9VeH9T3+Ibyx9j/IIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIDAnAlsBgmW9DoWmZtb/kv93D/V/mrcq/BDPk4iHwtx6n5d8WDgygXtSgZD91VKmPNvRfeGAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAJHEzg8gNCshBDFCprn2NFvVVKIWgeNz+/drz4XAKrP79ePY6sQQtX21m9VPsjF//r8E38/7+OxdnoVD16VLhwz7qpSwkWrMsLVQX2VEo7+NeYECCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCAwJgKxsLyUrVkFIasfDNlm6CGvMZd+3sddEYv4deWDV7eP92dWGaFdeUGlhDH9ZjMWBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBA4G4E6hFBXFlgFE3b0Y8D1Z6Mswt79/SoXrM934PGrcdSf3+iXQYSBKxMEk7jOnNtjKggEm+6frwId68+Pt19VSnjaqoxwfVBfpYTy14r/QQABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQACBqRHYDBPM/fX2igj5L/zHXrlgNc5V2OH29nT9RuWDmVc2aFc6yPBEVn7Y2m+FLPI8+fiGq+vr4upq/diGQ/pCCVP7zWq8CCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCycwGEBhGYlhCiG0Pz8jn6rckLUUmh8fu9+9bn46qrPP97PRfs4tgokVG3nfqvywe3E+8mh3eaiu/axSg77V2ZQKWHhv2zdPgIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAJLIRCLz3PfqvBBVjwYqs2QQ55/Kv0c57ptVEB4VS3CZ0WAul1YZYSscNDX/V88fVpcXFwUV1dVpYSskHBIX6WEpfyWdp8IIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIITJDAvcoGdaWBVUih1Y9b3Awv7N9/vHJBjmN9vgOPX42r/vzGOMswwsCVC9oVBabWP23lg/0rCVTjmu/xKiXET6z/EEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEBgVgQ2QwVze32/GkL+y/+xVy5YjbP1OIl8DEQ+bqKPfqMCwsQrHWSYIisX1P3VfY29X4USLoqskHB93ayYsE9fqb9sLQAAIABJREFUpYRZ/Xp2MwgggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAghMl8B+AYRmJYSsYLD+7I73NyoUlJ/p3N+/UkIVRKgW9eOanfoDV1LIMEE9vp6vl+d9qI0QQi7Oz7OdbiUFlRKm+/vUyBFAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAoB0IuFs9kmEGbRU8yOoHfbYZashzTqVfjTMrBmxtJ14Z4dXMxn/x9GlxcXFRXF01KyQc0lcpwa96BBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBA4OYH4F/Pl1g4m7OjHQOvPRpmErf39KxlU5zvw+NV16+sXRfmv/eNcZSDhhJUG4np53bG1w1Q+mG7lgYrHucaf192/bVZKuC6qxzUc1gollL+m/A8CCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCAxNoFr8n081hAwAlCGE22qh9/Z2rJULmmGJepwZoshxH9GPxzCMvVJAhiSyUkPdX1U40L8tNr/HKpRwUVxdV5USqlDC1YP9y8vL4urqqoj2ctVGXyhh6N+szo8AAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIDAwgkcFkZoVkKIYgjNz7f6rUoJUTuhcfze/epz8VVVn9/er0II1SJ/HNup33MlhduBz5f3udnG4nUu4k+7zcoBeT/L7cd3+vLlqzKY8PLlyyIrJWTYoGqv6vDBPn2hhIX/AeD2EUAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEBiCQLWwP5+qCFXwIKsh9NlmqCHPOdb+XfUv6F+t/iX9tnZVcSArEYy9csJkxpdcO7QRLnhZhg1e1mGDfftZKWGz8kG7EsKuvlDCEL9hnRMBBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQACBhRK4V9mgrjywCii0+oFpM8Cwf397JYPqfAe+vxpHff2iKKsAZGWAvisR5HnH3A5XCWEplQjyPodp1xUNsrJB/22zUkJWSDisFUpY6B8GbhsBBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQACBPglUQYB5VEZoVkUYb+WCcpytx0dkeOL2djXuA98fW+WAfCxEVl6o+6uKAXPt71vJoHrcQvdKCLs+r1JCn78lnQsBBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBA4isF8QoVkJ4V4lhbsd77cqKdzt3T+sUkIu4mflgoP7q8X/+vMj6+e42m0u6k+rzcoDr8pqFhFYaI5//P0MA1RtVjjIxyt07efn+mtVSjjoV6KDEUAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEECgDwKxsD2HLRay+9/GXVkhKw5sbVcVCOr39YsIDtzjkVweaV++zJDBcJUMMtwwVGUFlRL6+I3pHAgggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAgggsBeBKojQqmywo3JBnHgzwLC9f1hlg6y4sD5f6/Or69bvb4yjDCL0XMkg7jHOO8Y2Fq5jbP21469E0LzfbePN/d3bKhTQX2WCUZyvDGG8Kl6+fFWUoYSnT4urq6vi8vKqaq9W7Z791168eFGce3vvvfeK2PyHAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAALjIrAZKJjy6zKI8GBlhDNXNliFGfJxEbc99GNh+96/7H9VhRJe5b/sP1E/wwF53an2h6pEUIUQxltJoVulhKvisgwxXJYhBqGEcf1ONxoEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEERkFg/wBCsxJCVjBYf771/kbFgvKYA/sBpzp3qzLC3f1+LIDHsVUgoVnJIEMAW99vVT7IsEB9/Jnfz3Fkm4v942yzEkFWbBhvv1mpIB+/kJUQdvXzuPm0VSihVSkhKyTs2QoljOJXukEggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAgggMA4Cscg95a0KIFSL3v28zlBDnnMc/boSQlY8yPbElRCyAkI9nrFcP8expV1q5YNDKzN0q5RwqVLCOH6dGwUCCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAAC4yFQBxHqSgSrcMKOftxB/dkok7C1f7+SQXxuffyB76+uk5/vu5JBjC1CDWNqY0G5n0oI461UUN3ftvHl/sPaly9HXrmgfNzGq6Ie54j6ZSjhaatSwtVV+ViGy6yUsKOvUkL5a87/IIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIILBMApuBgqm9frgSwrkqGayu23pcRIYl8nERh/bPXYkgQxA5jrH3D60EMI3jXxXNyg7H9/O+qzZDG/cfT9F8fMNlM4xwuV9fKGGZf7a4awQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAgQUTOCx80KyEEMUNmp9v9VuVEqIWQuP4rf3quPhaquO396swQrOSQS76x2f3er9VCSHDAvXnB34/r9Nuc9F/XG1WJshKDePov3x5fxH98UX2XHzXNjlt59EMJbQqJGSlhB2tUMKC/7Bx6wgggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAssiEAvgU92qoEG1GH7c6wwt5LnO1c/r3hWxQPzq1e3D7W1r/1z7eV9b2malgJetygH6Q/GpQgkXxeXVVXG5URnhkL5QwrL+nHG3CCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCyTQCCLUlQhWAYVWP/BsHr+9v72SQfX5A99fXbe+3sY4yhDCkZULYkxxnrG0MZYII3Rrx1GpYD3+bePJ/Ye1L19u/5f7+/4L/6OOK0Mir4p6HAvul6GEp0+bj224alVM2NEXSljgHzpuGQEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAYBkENsMFU3pdhhBuq4XsfCzDel9WGDj1+6vrrsIN9bgO6MdC+ausBJCVEQbuZ+ghKzHU/VYoIsd1jvfjMQxD/Uv/KpzQ9/lftca7u5/jaIYlDn38xOmPbz6+4bIZTtionHDVqqSw2RdKWMafN+4SAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEBgQQQeDyA0KyHc3R3Y36hgUF5n7/7uygmxIB7njDYX/ffutyoh3J64n+Nst7nIP642KxdkpYbT9Q9blD9zxYRzV2zYdv0TVm5QKWFBf3C4VQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQR2EYgF8altVQAhqx700WaoIc91qn5e5658LENWJrjXDlwZISse1Nc91fXyOu32VTwGoe9KBXM/3+7KC83KEsMdn5USLluVEA7pq5Sw6ze39xFAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBAYOYFGEGFH5YK4lc3jt/d3VzaI86w/v+P41XXz+L4rGcRYIuBwrva4Sginq1RQjXPf6+Vx+7fNSggnqnRwwsoB5f0t6HoPVUp4fnlZXF5eFs+fr9odfaGE8tek/0EAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEBgegQ2wwVTeP1wVYSsMFAtfOdjG9bHDvX+6rytx0VkWKIexyPvxwL1qSsTZPghr3vufhVCGFvlgsMrB+R9VG2GKV6WVS9e1o9RmFf/ww8/LKtYfPjhy7J9++23i7feeqv45CffqvdfXFwU77570QwhZBhhz1YoYXp/thgxAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIDAwgk8HkBoVkKIYgbN41v9VuWEqH3QOH5rvzouvorq+O39KmDQrGSQi/7x2Qffb1U+yLBAffyJ36+vu3o8QYYBztNm5YJXJbt4VENzHMP1D1u0z8X9mbcjq5zwYTwu4+XLIsMG+/bffvudKpTwViuUcNEKJeyojNCupCCUsPA/sNw+AggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIDAdAhUi/93zdDA3Xj7VdggKyB0bTO0kJ8/VT+vc1f+a/lY+I8F+XvtKqRQ759qP8fdbl+9Khe4X67arCiwrP7hlReafPr7fIYNImiwWeng2H6c936lhA+LZqWE562KCfv1hRKm82eMkSKAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCyUQCOMUFcmWIURWv1AtHn89v72ygbV53e8v7pOff6N65ZhhCMrGcQY4jznbGMBvlmBYN/+cJUKqvF0PX9+bnvbrIQwUIWDkVUWiABB477P2C9DBx0rHeysjJDn3dK+/U6rUsLLl1UoISslZIWEA1uhhIX+weW2EUAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEExk9gM1ww9tdlEOG2Wuxuvs6KA/neUP3VeVdhhnw8RD72Yd/+q6wUkJURBu5n6CGve45+LIQ3/2X/qfuHVxLIig2NMMHLl81wwQj7WelgjG39+IZPth7f8G7r8Q3PL1sVEx7vCyWM/88aI0QAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEFgYgccDCM1KCHd3O/obFQzK8+7d31EpYeO6VQihWdkgQwBxzQffb1VCyPBAffzA7+d1oo2F7QwDnKfNygU5jmH7L19mZYBdi/h53MTbE1c+iEcpNEIHE+nXoYS3WqGErJSQYYSslLBnXyhhYX+AuV0EEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAIHxEogF8qlsVdAgqx8c02ZoIc9xmv6rrITQbgeujJAVEerrD3W9PO+qPW8lhPFXXmjy2a9yw4cffliHDyKIcEi/Ci2sP3/KfoQP3nnnnaLdfupTP1u89dZbxSdVShjvHxJGhgACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggEAXAo0gwo5KBnH+zeO39/erdLD+fOv41XXq94uirCYQ1y4DCUdWMsjznLrtVglh2MoFEVBojmtbP/fvbpuPNei50sGJKw9EYKBxPyfu91b5ICsmnLn95FtvVeGDR9oyJPHyZXFxcVG8m5USskLCga1KCfFb1H8IIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIInIHAZrhgzK+bVRFOU8lgfc28XjMMkY+HyMc+PNaPBe3BKxOsKi5kuCArIpyyHwvJ1eL9+CsT5DgbYYN6/BlCyPs5TX+z0kFVuaD1GIYP59GPSghZEWFbm/dfhhLevSguLy+L5/m4hgNboYQz/OHikggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAssm8HgAoVkJ4e5uR79VOeFu736rMsLqOvHNVONrVUa4rUIB8V4VGNjRP7KSQoYN6uvtOF8et9nGgneGAk7bZiWDvP4w/XUIYd9F+zxu5O3AlRB6q3yQIYWsfDDDfqNSQoYRslJCu5/7W+0oQgnf/e53i/fee6+4vr5e9p8+7h4BBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQGDWBGLBfApbFTqoFtKPf50hhjzfUP3qvHVFhFXlgnv929uymkC9fyr9epyviggjxCMN1qGEqfdfte6nv37+i/8IImxWQtjVrz73Ycn4wwwbfNh3f9yVF37wgw/Kxzc8e/be9Csl/Pqv/3oZSvje974nmDDrP2bdHAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCwTAKNIEJdiWAVUGj1g9Dm8dv7uysdxHnWn28dv7pO/X7RqoywozJBu5JBXCsCDOdqj6uEMEwlg3Wlhm3nz/2Pty9fDlzZYODKBBGgaDymYaB+HR7oWrkgP7eo9lVRV44o77vqf/DBB8Xf+e53i4uLp8Xf/wf/oAollBUQrornjUoIV+V75eMdVu/H683+KColvHjxovj+979fBhOiYoINAw5wgAMc4AAHOMABDnCAAxzgAAc4wAEOcIADHOAABzjAgTk48OzZs2IK29OnT4v19mzjdewfqr8677M8/+H9KC1/8fRp+a+5Y/F0iH5w2TzvPPtPa47V/e3uJ4c8/tT98rEC775bfjfvvnuhvbgohuDwa7/2a8XzfExDx3Y0oYQIJkTFhHyUwxz+kHEP/rLEAQ5wgAMc4AAHOMABDnCAAxzgAAc4wAEOcIADHOAAB5bpwONBhPdaQYUd/fda7+/drz4XDlbjud+PheR4L9oMH2ztr46r3z9xP68bbSxINxfBh+5XoY31dc/Vz+uOvF2FXCIoUn5PPfSrEMIqfBBhlM1F+Ln2877O0MbvjWaFhMtWhYT9+6MKJUQwwYYBBzjAAQ5wgAMc4AAHOMABDnCAAxzgAAc4wAEOcIADHODAlB24ubkpxrxdX1+Xj1Tv3t60Pn+a/tXVdXF1dVXca69b+8faz3G126tV+ftVG/dYlr+fVP+quGyM97h+/Mv8eETA8+fPq8cA7NEvHxewcXy3/uqxAx0rAhxbUWCunxdKEIQQBOEABzjAAQ5wgAMc4AAHOMABDnCAAxzgAAc4wAEOcIADHOjBgTqI8OJFM5TQ6kfgoj725qZk/3C/Om59/IH91XXy89c3VXggrlUGEg7s5+dO3cZYY6H+sLYKXqw/d6p+Xufx9vIywhURPuipLcMaG+ebWD8CCFWIYNXu28/jJt1etSoQ3O+XIZUIaZT3uQqtTKgvlNDDHzBTTuoZu6QpBzjAAQ5wgAMc4AAHOMABDnCAAxzgAAc4wAEOcIADHDjOgc1AwRhf36+IcJrKBtfXzfDDIf1YsK8rImRlgayUcGQ/ww1XrbDD0P1mJYHLVmWBvvu7KxVUoYjLVjhi+H4jfKAiQTOMMVMeQglCCZKPHOAABzjAAQ5wgAMc4AAHOMABDnCAAxzgAAc4wAEOcIADHRzYP4DQrIxwc9Pqtyon3Ozdf7xyQoYAsrLBzv6BlROGqLywrmxwaGWEY4/PygZ5nn76sQDfrIjQ7vdUKaGvigt5nh4rLZQhhKxkkIvuU+3nuCfd3q/EUFeqKO+rn/fj0RsfPH9exCMphBI6/AEjLXhcWhA//DjAAQ5wgAMc4AAHOMABDnCAAxzgAAc4wAEOcIADHJiyA/uHEW4aj2k41efuV0aoFtj333/iSgrXN+XCfV0ZISsiZHtkZYSsgFCff6jz1eddldcvH8+QIYS+KyH0fb7dlRWalR62H5+VEGKhOxamt/Wr/ev3u/Vbj33I0IO25p78u7QffBChgufFsa1QglCC5CMHOMABDnCAAxzgAAc4wAEOcIADHOAABzjAAQ5wgAMc4MAeDtShgh2VDCJwUR97c1Oyfbj/eKWDrKiwPl/r+NV18v0hKhdEkCHGPkQb5+xeGaGfSgbr6+97vjyu2V5mhYG+2h4rFZSVGgY8X7nYnZUDMgywrZ/7R93urhQQ97y+71UIJUIY5f7x9rNyQQQNNisZDN0XStjjD5gpJ/WMXdKUAxzgAAc4wAEOcIADHOAABzjAAQ5wgAMc4AAHOMABDhzvwGaoYGyv71dAOHGlg1VoIR8PkeGIbf2hKxdk2CGvM1S/WTmg78oF7fNtr0zw+OMhslJDPiain36U5O/yL+99riduGYrI72FVlaKuaJChg6x0cOa+UIJQguQjBzjAAQ5wgAMc4AAHOMABDnCAAxzgAAc4wAEOcIADHODAFgf2CyA0KyNkhYP6s63KCTd791uVEW6a/Vz0j+tUwYRmRYN777cqHmR4oP58z+/nebPNcMBp2qxkcFWyiUc3NK/brR8L8Y+HAHLxf2TtkZUSqgoA8TiGzQoBE+jn4v2o2t2VGGreq8oLVYWD50VWOhh7v115QShhyx8wEoPHJwYxxJADHOAABzjAAQ5wgAMc4AAHOMABDnCAAxzgAAc4wIGpOhAL6WPdqgBCtaje7XWGGPIcQ/VvygX8CATEQn7drh7bMPp+jvP6uqwKcNrKCO1KCYf2d1dWaN5P8/gIH8TCeCwuZ0WEdr/av36/W7+nygEZlphoW1c4yMoGM2uFEoQSJB85wAEOcIADHOAABzjAAQ5wgAMc4AAHOMABDnCAAxzgAAdWDlRBhFblgx2VDSJ4sRlgWPeblQ2ygsLe76/Om8cfW9kgxhghhlO0EUJoVibY1e9WuWB9na6fz8/db5sVEY6sfHBkpYIIEDTGM0A/wwdlm5UFcpE/+6Nsd1ceiHta39dVFTKJ0EW5/zT9CHhkpYN2JYFh+pet652vL5TgLxn+ksEBDnCAAxzgAAc4wAEOcIADHOAABzjAAQ5wgAMc4AAHONAKFmyGDM79+n41hKEqG1QL8/nYh7ptPR4iwxEPvR8L51dZYSArJBzZz3BDnnfIfixcV4v/h1YmOPT4ZmWCy8sMHeT1h++Xi/QZOtDWFSE6ccnQQ1SYqMMHz4u6AsLz59X+rICwsL5Qgr9k+EsGBzjAAQ5wgAMc4AAHOMABDnCAAxzgAAc4wAEOcIADHFi0A7tDB81KCFnxYP251vvtgMPW/uOVFHLRP65TBROalQ7uvd+qhJDhgfrzPb+f5402FvIzLHCaNisb5HWP6+8fCsiwwJnbjpUS4rEM64oBsYA+sn4u7p+13V15IR9lkZUPqnZdCaHv/jCVFNbjHfr8Qgn+krHov2REuSMbBhzgAAc4wAEOcIADHOAABzjAAQ5wgAMc4AAHOMCBZToQi+lj3aoQQlYuOLTNEEN+bqh+FUa4yooI2R5ZGSErItTn7et8eZ5VG49EOF1lhEMrKbSPv19ZoTn+h9+Pxeb8l/+5kJ79ql2/362/CjVkuGGGbVn5ICsczKU9caUGoQSL0hblOcABDnCAAxzgAAc4wAEOcIADHOAABzjAAQ5wgAMc4MDiHGiEEbZWMqhCCxFa2Tx+3X+80kFWVNh6/Oq89fsvXpTVBuJaZSjhwMoG+bmh226VEI6rZBABheZ1t/Vz//a2ejzDkZUOOlYqqCsyDPj5MlyQlQYyJLCtn/vP2t6vTBD3sL6PKjwydL8MH5SL9dUjGPrvXxZZWSHOHVUqltIXSvCXjMX9JSP+YLdhwAEOcIADHOAABzjAAQ5wgAMc4AAHOMABDnCAAxxYpgOb4YIxvW5WRhiqskG1UJ+PdcjHP+zb771ywaqyQoYNskLCEP1ykXvQygj3KxVU4YfL8tEWdRjhcph+/RiGDCFo6woR6zDD+nEV9eMVsvLBiSsHLO36QgkWqC3Qc4ADHOAABzjAAQ5wgAMc4AAHOMABDnCAAxzgAAc4wIHZO/B4AKFZCSErHKw/03q/VTnhZmt/dyWFWICP61ShhKrd2j+wckKGDerzHfj5+nOrxx1kWGCYNisbXK0qIhzf3y8UcGTFhMuOn++hUkK52J7hg6wscO5+juOk7f1KC/GoigwjrCsSPK8rE9ShgEbFgv3fryodrI8fR3+8lReEEvwlY/Z/yZB0XWbS1ffue+cABzjAAQ5wgAMc4AAHOMABDnCAAxzgAAc4wIFwIBbWx7hVIYRV5YLrQ9sMMeTnhunXlRFWFQ3q/iqkMLp+Pa5Vuf9BKyNcFpdHnf9+ZYXm+e6/HwvtsfidYYR2v9q/fn+//mrxPsMME28/yMoHY28XVplBKEEoQSiBAxzgAAc4wAEOcIADHOAABzjAAQ5wgAMc4AAHOMABDszSgTqM0A4ntPrt8ML2/u7KB3HN+vOr62z2I4wQx5ShhI6VC/LzQ7XdKiEcX9mged1t58v999uqMkLHygXtigc9VDJojKfj+erHMuS//M/QwLZ+7j9pe79SQQQiylBE2a5CIhGq6LEfAY2q4kEV1ji+P95KA1UlhumOTyjBXzJm+ZeM+MPdhgEHOMABDnCAAxzgAAc4wAEOcIADHOAABzjAAQ5wYJkOxGL92LYyhFBXRBimskF9jQw9XDfDD9c7+kNVPsiwwVXrMRB99GPhOx/T0Kw0MHwlg7xuI3xQjyfDETm+/ftVhYN5VTCowxUZqji0XVWJqCshLKzSQP24iawAMZb73/PxF0IJFq8t3nOAAxzgAAc4wAEOcIADHOAABzjAAQ5wgAMc4AAHOMCBWTiwfxCh/ViHVr9VSeFma3935YRYkM+KBhkK2No/sHLC9ZHHr8dxXS7sZ3hgmDYrG1yVVSIiANG8zmH9y7qyQXvRPxf/z9weWBmhqiAQ/+J/s8LACPqNigdZ6eDY9n5lhfr+V5UU6kX4PRe9dx1fVRrou7LCrvNNt7JB35UZhBL8JWMWf8mQdF1m0tX37nvnAAc4wAEOcIADHOAABzjAAQ5wgAMc4AAHOMCBdGD/QMLpqijEonu3beBKCquKCXVlhKsqlFD3VxUNzt7PcazafishHFtJof35q6I5vt39WIiPxd+sjNDuV/vX7+/Xn2aFhboCQlYCOHc7lkoEyWHi4xFKEEoQSuAABzjAAQ5wgAMc4AAHOMABDnCAAxzgAAc4wAEOcIADk3WgCiM8XukggguboYXt/d2VD+I868+3jt+4ThlGOLCSQZw7Pjd0G9eIRw4c1h5WyaB7JYS8zrptPh6hYwWEAysXRMCgcd2e+gdXQhikUkG70sH9ygURgChDEKvKBX33+6lcsLxKBFnBYGqtUIK/ZEz2LxmZfNRKwXKAAxzgAAc4wAEOcIADHOAABzjAAQ5wgAMc4AAHlunAZtBgDK/LIEJZHeE0lQ7ycRD5GIdd/aEqH2S44aoVdji236w80K5McGz/fiWDKoTQfhxEP/06jJCPZ1hYWz9eYSb/8v9k99PT4yvq8fZ8vh988EERVS6q9oNVe78vlCCUIJTAAQ5wgAMc4AAHOMABDnCAAxzgAAc4wAEOcIADHOAAByblwO4AQrMyws1Nq79R0aA81979VmWEjfNWgYRmpYMMCcQ1Hny/VRkhwwX18Ue+X5+nFRbIEEG/bVY2yAoM3frxL/IbFQru9VsVDC5P1O9QKaEDtMxZAAAFLElEQVSsNJDhg6w8cOp+XnfQ9n6lhWMXwfuppPC8qMZRPSYjztnsL6/SwmP3vw4XPC8+aIQNju8LJfhLxqT+kiHpusykq+/d984BDnCAAxzgAAc4wAEOcIADHOAABzjAAQ5wgAPhQBkguLkZVVuFDaoF+P1fZ0ghPzdMv66McFU9rqHur0IKZ+/nOK6vy0cFDFsZ4dDKCvcrKTTH9/D7sfCdYYTnl9ViePardv3+fv3VYxQyzDDSNha0y0X/c7VlBYBYPF+NQ7/+PiJgUFcy+EFUNji0v1H5oPz84X2hBKEEoQQOcIADHOAABzjAAQ5wgAMc4AAHOMABDnCAAxzgAAc4MHoHGoGEdkCh1W8HGNb9hysd7P3+6jpxfBlAOLCSQVYuGLrtVgGhW2WDqGpQXW/b53P/w+1lX5UOOlQyaFRkOOLzZbggKxFkaGBbP/cP2t6vXBBjXI/zqgqBRGii3H94v59KBvOrVFBxycoMw7dZ0WDsrVCCv2SM/i8Z8Qe7DQMOcIADHOAABzjAAQ5wgAMc4AAHOMABDnCAAxzgwDIdaIQRRlAl4eFqCMNUOsjHP+RjHXb1h6p8kCGHq9ZjII7pl4vkV9VieBUOOLSSQfv4hysXxHUa4YOe+s8zfLCUdlX1QSWCqMSQYYr14yCOfVzFts9XFQ42KhM0HquQFQ/G/75QggVvC/4c4AAHOMABDnCAAxzgAAc4wAEOcIADHOAABzjAAQ5wYJQObA8ktB/lsKPfqqRws7W/vZJCFUaowgdZ6SBDAlv7B1ZSyPBBfb4dn6+Pa4UFMkTQb5uVDnZVRtj+foYPHg8JXLVCBAP1O1ZGqMMIWXkgQwmn6ud1em3vV1bIR09Ui+WHL8L3U0lhveifFQhyPHPpZ+ggKx3MtS+U4C8Zo/xLhrTrMtOuvnffOwc4wAEOcIADHOAABzjAAQ5wgAMc4AAHOMABDoQDsdg+pq0KJFSL8t1eD1NJoa6McHVdLuTX/VVI4ez9ehyrxwP0WhmhXSnh0P7uygqXq/GWjz14Xj3qIBbDs1+1h/ZXj1HIMMPI2roSwgdREeB5MVj/eev8M+9XYYMPih/84IMiAgiP9zcqH5THH9EfSWUFoQShBKEEDnCAAxzgAAc4wAEOcIADHOAABzjAAQ5wgAMc4AAHODAaB8owQjuY0Oq3gwvb+9srH1Shh9b7q+vk+Q6tXNA+Pq4RIYa+224VEI6vdNC8bp5ve9usiHBgxYOOlQwuL1fX6eHzjfBBVibIEEH2T9Ler2QQYyvHV7ar0Ec8YuHAfrPyQLsywa5+VlC4LAMM68cajLefFRaGaCPAkRUPtBG+WPMQSvCXjNH8JSP+gLdhwAEOcIADHOAABzjAAQ5wgAMc4AAHOMABDnCAAxxYpgNVSGAcFRLuV0MYptJBPv4hwwy7+n1VPshwwVXrsQ999fMxDVlpoJ/+/coGed5m+OGy9fiHw/r3KyGMu7JB/TiJDEtsazPEEBUfogLCzCsT1PdX3meGJ/K+j+vHYntd6WAklQj6GU/eV/+tUIKFcEEADnCAAxzgAAc4wAEOcIADHOAABzjAAQ5wgAMc4AAHOHA2B/YLI7Qf6dDqtyop3Gzttyoj3Nzvx4J9VjbIkMDWfqsSQoYL6uOPfL8+Tys8kKGCftuseHBVVneIAETz/Lv7D4cEDqyQkJUOjm0PqJSwrjgQC/abFQhO0M+wQK/t/coKxy7SV5UF1ov63foZBhhvJYVm5YjLVfhg/S/+q8X/8fSnUpHh/wdGNjSggWv1hAAAAABJRU5ErkJggg==" | |
} | |
} | |
}, | |
{ | |
"metadata": {}, | |
"cell_type": "markdown", | |
"source": "The common confusion matrix should be:\n\n| | |\n|---|---|\n| TN | FP |\n| FN | TP |\n\n\nThe UI is showing this instead:\n\n| | |\n|---|---|\n| TN | **FN** |\n| **FP** | TP |" | |
}, | |
{ | |
"metadata": { | |
"ExecuteTime": { | |
"end_time": "2020-06-17T08:58:10.346250Z", | |
"start_time": "2020-06-17T08:58:10.340250Z" | |
} | |
}, | |
"cell_type": "markdown", | |
"source": "Traditionally, the y-axis should be the *Actual* and x-axis should be *predicted value*" | |
}, | |
{ | |
"metadata": {}, | |
"cell_type": "markdown", | |
"source": "![image.png](attachment:image.png)", | |
"attachments": { | |
"image.png": { | |
"image/png": 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" | |
} | |
} | |
} | |
], | |
"metadata": { | |
"gist": { | |
"id": "", | |
"data": { | |
"description": "wandb-example.ipynb", | |
"public": true | |
} | |
}, | |
"kernelspec": { | |
"name": "python3", | |
"display_name": "Python 3", | |
"language": "python" | |
}, | |
"language_info": { | |
"name": "python", | |
"version": "3.7.4", | |
"mimetype": "text/x-python", | |
"codemirror_mode": { | |
"name": "ipython", | |
"version": 3 | |
}, | |
"pygments_lexer": "ipython3", | |
"nbconvert_exporter": "python", | |
"file_extension": ".py" | |
}, | |
"toc": { | |
"nav_menu": {}, | |
"number_sections": true, | |
"sideBar": true, | |
"skip_h1_title": false, | |
"base_numbering": 1, | |
"title_cell": "Table of Contents", | |
"title_sidebar": "Contents", | |
"toc_cell": false, | |
"toc_position": {}, | |
"toc_section_display": true, | |
"toc_window_display": false | |
} | |
}, | |
"nbformat": 4, | |
"nbformat_minor": 4 | |
} |
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