diff --git a/nbs/01_vae.ipynb b/nbs/01_vae.ipynb index c0b9351..5aa25b7 100644 --- a/nbs/01_vae.ipynb +++ b/nbs/01_vae.ipynb @@ -11,7 +11,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 15, "metadata": {}, "outputs": [], "source": [ @@ -20,7 +20,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 16, "metadata": {}, "outputs": [], "source": [ @@ -30,7 +30,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 17, "metadata": {}, "outputs": [], "source": [ @@ -50,7 +50,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 18, "metadata": {}, "outputs": [ { @@ -59,7 +59,7 @@ "4" ] }, - "execution_count": null, + "execution_count": 18, "metadata": {}, "output_type": "execute_result" } @@ -94,7 +94,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 19, "metadata": {}, "outputs": [], "source": [ @@ -108,7 +108,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 20, "metadata": {}, "outputs": [ { @@ -150,16 +150,16 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 21, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "NpzFile '../sample_data/nyc_taxi.npz' with keys: t, t_unit, readings, idx_anomaly, idx_split..." + "NpzFile '/run/media/data2/ts_vae-lstm/sample_data/nyc_taxi.npz' with keys: t, t_unit, readings, idx_anomaly, idx_split..." ] }, - "execution_count": null, + "execution_count": 21, "metadata": {}, "output_type": "execute_result" } @@ -170,7 +170,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 22, "metadata": {}, "outputs": [ { @@ -179,7 +179,7 @@ "array([ 1, 2, 3, ..., 10318, 10319, 10320])" ] }, - "execution_count": null, + "execution_count": 22, "metadata": {}, "output_type": "execute_result" } @@ -191,7 +191,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 23, "metadata": {}, "outputs": [ { @@ -204,7 +204,7 @@ " array([ 443, 1684, 3027, 3335, 4581]))" ] }, - "execution_count": null, + "execution_count": 23, "metadata": {}, "output_type": "execute_result" } @@ -228,7 +228,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 24, "metadata": {}, "outputs": [ { @@ -238,7 +238,7 @@ " array([ 1, 2, 3, ..., 4818, 4819, 4820]))" ] }, - "execution_count": null, + "execution_count": 24, "metadata": {}, "output_type": "execute_result" } @@ -249,7 +249,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 25, "metadata": {}, "outputs": [ { @@ -258,7 +258,7 @@ "(5500,)" ] }, - "execution_count": null, + "execution_count": 25, "metadata": {}, "output_type": "execute_result" } @@ -267,9 +267,37 @@ "data[\"training\"].shape" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Mean and standard deviations of training set." + ] + }, { "cell_type": "code", - "execution_count": null, + "execution_count": 26, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(-9.818408712321384e-17, 1.0)" + ] + }, + "execution_count": 26, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "train_m, train_std = data[\"training\"].mean(), data[\"training\"].std()\n", + "train_m, train_std" + ] + }, + { + "cell_type": "code", + "execution_count": 27, "metadata": {}, "outputs": [ { @@ -315,7 +343,7 @@ "2 -1.048144" ] }, - "execution_count": null, + "execution_count": 27, "metadata": {}, "output_type": "execute_result" } @@ -328,7 +356,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 28, "metadata": {}, "outputs": [ { @@ -337,13 +365,13 @@ "" ] }, - "execution_count": null, + "execution_count": 28, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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", + "image/png": 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GNZQgT1R5yTXJ8j0fgxqi3JPInhpg6l01vSNKpqZiXKYGABaKoIblp5wgMjXzEwhqONZNifKEtwlLUmThHsCeGqKcFQzJkQMt4w1qpthV0xvO1FROkqmZz0xNzpBlWc3UzI2z/ARwqzAlLvrcp+jeLZafiHLUwGjkDKfSvJnLTwDQWBY52DKaCGoqCibL1Ci7So71jaqNfWROPcM+uD0BSBIwuyI/7q8rZFBDCYockRD7cs5MDVGO6h9VJp+KXTbYrPH9SojznyY0Cqvlp4mZmspCB0ry7JDlyGQMmZMoPTWW5c14PEI0ntRNiVIX7417nI2ffnJ7/FMuDDUTBjWU80SmpiyOXSJCbcnkQc105SdJktgsnCPUJuEESk8AUOBgUEOJmezcJ2DiRuF//s1mnP/D17CtZSDmdn987zhOuedFbDpijgN3GdRQzusbUQKR0vz4g5qacKamIyqo8QVCGBxTsj6TlZ+A6GZhjnWbmTrOnUCTMBB/o/DDrx7EuT94BU9va+X24RzXOqBkX8avkRDj3b5ACEMeP9490gdfMIQfPL9Hvc3AqA/f/vMH6HZ78dLursxddBoxqKGcNxAuP5Xnx9dPA0QyNW5PQN0QLIIjm0VCyRS9OczU5IbI4r3EMjXxjnT/YXMLjvaO4rbfb8Mt//Weuh+Jcs/O1iEAwNKG4piPR/fUbG8ZhIh93zzQizcP9AAAHnrlAIY84vnLHI8hBjWU8/pF+SmBTE2h04aC8OFxHYNKtka8sJQXOGCxTL5BVgQ1+znWbWqi/DQ/jjOfoqnTT9NkavzBEI6Fp+4sEvDcBx24+IGNU54aT+a2s3UQALC0viTm49Hlp63HlDPnrOHnpR88vxctfaP4zd+PqrcXpXOjY1BDOa9vNPHyEwDUlMSWoHpHxOK9yUtPQCSoOdI7An8wt0Ytc4UvEAk6Es3UFMbRKNzSN4pASEae3Yo/33oW5lYWoG/Eh79sb0v+osmQQiEZu9qUTM2yCZmayEj31nAfzefOnYc8uxXbWgZww6/fhS8YUrOD4vnL6AwV1GzcuBFXXHEF6uvrIUkS/vSnP2X7ksgEBkbC5aeC+MtPwMQJqF71iISpg6P6kjzkO6zwB2Uc7eU7azNq6R9FMCQj32FFTfHUAe5k4hnpPhzOAs2pLMCyhhJcvKQGANBvkhclit+xvlG4vQE4bRYsGBdAi43CHn9QzdRctKQWnzlrDgDgYLhE+pVLTgAQWRxqdIYKakZGRrBy5Uo89NBD2b4UMpFkMzUiqOkYVJ4MIjtqpv4+FouE+eEnH3GiN5mL6KeZWxnfQZbR4hnpPjzu+AUxtdcXDs4pd+xsU0pPi+uKJ6yjcIb/fqh7BP2jfjhsFiypK8bNZ89Hcfhx9tHmBpyzqAoA0GeS8lN861N14rLLLsNll12W7csgkxEj3eUJjHQDkfKTyNT0THNEQrSF1YXY0TqIA11uALUJXi3pXWTyKbHSExDfSLd4hz0v3K9THg7G+0fN8aJE8RNNwsvqiyd8TmRqxsJ7bJY3lMBhs8Bhs+C+j6/AU1tbcddli+EK9waO+ILw+IMJ7VXSI0MFNYnyer3weiMptaGhoSxeDemVWL5XmsD0EzBZ+WnqwyyjqcclMFNjSofGBR2JED017mkahQ/3KI+buZXjMzUManLNB+FMzbKGkgmfEz01wkmzStX/vmx5HS5bXgdAOdLDbpXgD8roHfGhIXxYr1EZqvyUqPXr16OkpET909TUlO1LIh0SvQiJTD8BUPslRKOwmH6qnGJHjbCQY92mNr48lIhilxJYuz1Tl5LGj4uLXjBmanKLLMvq5NOy+smCmtiX9+ZZZZN+H0mS1L1avSZYDWDqoOauu+7C4OCg+qelpSXbl0Q6I8syBsZEo3CiQU04UzMYm6mpLJr++yyIytSEQlycZjbd4ReG+iTe8YpsoccfmvR8sGFvAF1u5fuLTI3oBWOmJre0DXrQP+qHzSJhUe3EUuf4TE1zVKZmPPHcZ4axblOXn5xOJ5zOxKYPKLcMeQIIhgOLhMtP4Z6aLrcXoZCsvsuZapuwMKs8Hw6rBR5/CK0DY2gqj//AQ9I/kWUpivPE92iFThusFgnBkIzBMf+E/obD4SyNOEcMiPTUuD0B+IMh2OM8v4yMTWRpFtUUTQhggEhPDQDUlbhQVzJ1kC1K5mYY6+ajn3KaKD3lO6yTPjFMp6rQCYsEBEIyeka86BmJr6fGZrWo77LZV2M+YkNrkSuxIBlQSgEiWBGbrqMdGtdPAwDFeXaIXY8sQeWOD0TpqWFikzAAOKKC2+myNEBkYpPlpwwbHh7Gtm3bsG3bNgDA4cOHsW3bNhw7diy7F0aGlcw2YcFmtajnrRzoGoYvfHDcTJkaILYERebhDQTVx0EymRoAKA0HNeIcsWiHJzko02qR1BJUP8e6c8ZOdenexH4aIDZT09w0eT+NICY2zVDCNFRQs3nzZjQ3N6O5uRkAcMcdd6C5uRnf/OY3s3xlZFTi3XBZgov3BFGCEls9CxxW5DlmzvioxyV08WBLM4meWhLj2YkqyReZmokvMOoOnHFNyGXhrzHDixLFZ6rjEYToTM1Js0un/V4iu9zDnprMWrt2LU+kJU31JTn5JCjNwoP4IBzUzLSjRmCmxpxEUCN6Y5Khlp+mzdTEBjXlBQ4c7B5h+SlHdA150OX2wiIBJ9YVTXobm9WC0+aVo3fYN2U2R6hQ1wIYv/xkqKCGSGuplJ+AyFi32BcxUz+NsLAmEtTIspzw5lnSp2G1nyb5p1a1/DSup0aW5ajFfuMzNVzAl0vEm6j5VYXInyYj+MQ/nwZJwozPL+pItwkyfYYqPxFpTS0/JTj5JIgFfCLjUhlnpmZuZQEsktJU2u02/rsjUqQy+SSI/pjxPTXdbi9GfEFYJGBW+cRMDcDzn3LF3k6lbL24bvImYcFikeJ6w1ReaJ6RbgY1lNOSPfdJELtqxLqZ6Q6zjOa0WTG7ghNQZpPK5JMQKT/FvsCI4xGayvPhGLdYjec/5ZbDKWytnkylmqkx/hssBjWU05I990kQjcJCPJNPgjjYcj+DGtPQJlMz+Uj3VP00AM9/yjVitD+ZrdWTEZkajz+EUd/UR3QYAYMaymmiUTjRxXuCKD8J8fbUALF9NWQO0Y3CySqZYqQ7cubTxO2xpZx+yimTjfanosBhVY9VMHoJikEN5TTxbjjZTE3N+ExNnD01ALCgimPdZuPWoPwkApTxQc1U49xAVE8NMzWmNzjmV0evJ3ssJEOSJLUfsMfgC/gY1FBOS3X6qchpQ17UKvvKBIKjSKZmJKmfTfojyk/FKZSfSvKUx9BU5af5k5SfeFJ37hCPg+oiZ0oZwfHKTfIYYlBDOUuWZXUDa7LlJ0mSYvpqEsnUiJ6anmHvpIvWyHiGvRqMdE+yfE+WZbQOjAEAGssmnhWm9tQY/AWJZnZY434aocIkE1AMaihnjfqC8AWVlfbJlp+AyK4aILGemgKnDQ3hk5zZV2MOWpSfRE9N9GGrQ2MBeMPHL1QXTwycRaZmxBec9HRvMg+1DKlRP42gntRt8MCYQQ0Zyud/twXn3P8Khjypj66K0pPDZokpISVKNAtbpMTLWPO5WdhUhjSYfhJBDRApZ3W5Pernxp/cDSjlLrHBeLKDMMk8Dk0zBZcK0VNj9EMtGdSQYfQOe/G3HR041jeKtw/2pvz9ROmpLN+e0kZf0SxcXuBIeDX+Ao51m4oW0092q0X9ehGgdA4pLzQ1k2RpAKUMKgJqo/dE0PREpkbr8hN7asj0xGnDevHu4T71v7e1DKT8/VJtEhZEpiaRHTUCx7rNJbKnJvnyEzDx/KfOISVTUzNuhUC08vChrJyAMq9QSMaRHlF+0rinJhzU9DCoITN6dW8XFv3rs/jdO0ezfSmqtw9FsjN6CmoWVisHyiXzJMODLc3FrcHZT0BUUBN+jHaGy0/VRVMHNczUmF/HkAdj/iBsFglN5RMbxlMh+gGNfqglgxqa1MZ9PQCAX795JLsXEuXtQ5FMzfbjg2oTZbLEpEhZQWrvqs9cUIH//MypuOejyxL+WlF+ah0Yw4jX2Js8KRLUFKeYqRm/q6YrXH6arElYEOUDTtKZlxjnnlWeD7tV25dv9VBLTj+RGYl094GuYRwYtxyubWBMHV3NlL4Rn3qIm9NmwbA3gIPdqWU3+tXDLFPL1EiShHMWVSU0zi2UFTjU86JSvT+UXYFgCGPhyaNUMzUTgppwpqamaOrHWGk+z38yO7VJWON+GiB2pFuWU3vDmE0MamhS7YNj6n8/t7ND/e8P2gax9oev4ub/3JzR63n3sFJ6OqGmCKuaSgEA244NpPQ9BzQqP6VKlKAY1BhbdKBfmHL5KXYBX6RRmD01uexQtzgqIw1BTThT4wuGMv6mVUsMamhS4kkUAJ6NCmoefvUgfIEQ3jrUO2GNezqJ0tOaeeVYNasUALA1xb6avtHUFu9pRTQa97hz48Voy9E+HOsdzfZlaE6UnvLs1pRLA5GemthG4eppghr21JifeuZTlbY7agAgz2FFvkNZF2DkEhSDGpogFJLVJ1EA+KBtCC19o2jpG8XfdrQDAGQZ2HqsP2PXJJqET5tXgWaRqUkxqEn1hG6tTHWAoRnt6RjCPzzyFj76H2+a7v6KHTWpZmmA2PKTLMtqT81UI90Az3/KBZHFe9pnagBzLOBjUEMT9Ix4EQjJsEjAqXPKASglqF+9cRjRvblbjmYmqOkf8WFPh9JPc+rccqxqKgMA7O0Ywqgv+TSpeEeb7fJTLgU1f3m/DbKsPGn+9KX92b4cTWk1+QQApepjwoeBUb+6+bpqmp4anv9kbt5AEMf7lQyn1ov3hAoTLOBjUEMTdAwqWZrKQic+vLIOAPC/W47jyU0tAIAPrVA+tulI3+TfQGPvhPfTLKwuRGWhE7UlLtQWuxCSgR3HB5P+vgM6KT8Vq2vxzR3UyLKMZ3dESpm/+fsRU/URaXFEghA5/8mvjnOX5dvhtE29+ZrnP5lbS98oQrKy2HG64DYVFSYIjBnU0AQiqKkrceHiJbUAgL2dboz5g1haX4zbL1gIQCn/+IPpX9AXXXoSVmlQgurXSfmpOEcyNfs6h3GoZwQOqwVnzK9AICTj357Zle3L0sywN/UTugW1UXjMH1V6mrqfBojaCMvykykdjCo9pbIBfToVLD+RGUVvL60tceGkcGMuANx8zjzMrypESZ4dHn8IH7QNpfVa+kd8eOOAsjMnJqgJX1OyQY3HH8SoTxm/LWX5KSNEP9Y5iyrxb1ctg90q4ZW93XhlT1eWr0wbWpafoh8T8TQJA5Hyk8cfwpiPh1qazeE0jnMLkfITgxoykfaoTA0AXLpMydY0lObhQ8vrYLFIWD1b6WvZnKYS1F+3t+PTj72L1fe8iANdw5AkpZ9GSDVTI0pPVoukyTvrVIhFbUMmD2rEaoDLltVhXlUhbjhjDgDge3/dhUAGMn7ppgY1Tu3KT4OjUUHNDCWHAocVjvDUFbM15tM2oKzZaCzLS9vPEDuzxF4kI2JQQxN0iExNOKj51Gmz8c9nzcVPr1kFW/hJ8+Q5SlCTjmbhA11urHviPWzc141gSMaSumLc97EVMXXkFY0lsEhKABY9qRWvjqgXinSlcuMVeVdu3N0QMznYPYy9nW7YLBIuPLEGAPCFCxaivMCBQ90j+OPW1ixfYerSMf3kC4ZwJDz+Pt3kE6AsgRRfx76a7PEGgth8pA/egLbZMvE8VztDxi4VosSZzHOqXmT3LSrpUse4TE2+w4Z//fCSmNusnq1kTTYd6Ycsy5oGBu8dHQAAnFhXjIf+qXnSnQz5DhtOqC3G7vYhvHO4D1eurE/oZ7SH3/XUlqTvCSJeJfmRTI3W/5Z6IbI0Zy6oVO9vscuOz507D/f+bQ9++tJ+XLWqAQ6bcd9naVl+yrMrWRdfMIR94U3aM/XUAEpfTZfba+hGT6M60OXG799twR+3tqJvxIdT5pTht59dA5d96ubuRHSqR2Wk7zlLPOd3GDioMe4zCKVNRxwnAq9oLIHDakHPsBfH+rRdpLa9dQAAcPbCymmXTJ27qAoA8OKuzoR/hiix1ZekL5UbL5Gp8QVD8OrsZHStiH6ay5fXxnz8utPmoKrIieP9Y/jDlpaUf87gmB8PvrQfp9zzIj792LsZXfeu5fSTJElqA/n+TmVCbLrDLAWxnoC7ajInEAzh23/+ABf+eCN++cZhNaDcdKQftz6xVbPSarc7HNSkafIJiM7UeA17VAKDGoohy3JUpmbqF3yX3YplDcUAgM1HtC1B7WhVmo+XN5RMe7uLlypljFf2dMGXYDAgjoGo00GmpsBhhdWiZGfM2Cx8rHcUH7QNwWqRcNGS2KAmz2HF59fOBwD87OUD8PiTS9mHQjJ+8uI+nPX9l/GjDfvQ7fZi475uvHmgd+Yv1og7XH7SIlMDREpQ4jypmcpPQNQCPmZqMmJw1I8bfr0Jj//9CADgwhNr8KvrV+OJm9bAYbPgxd2duOuPO1IOEEIhOXL+VwbKT75ASD0bz2gY1FAMtzegTgXNVLs9JbyYb/NR7ZqFfYEQdrcrQc2KxumDmlWNpagqcsLtDeCdw4m9eLWFAzc9lJ8kKdKsbMagZmuLEvSuaiqddHz+mlNnoa7EhfZBD37/7rGkfsb/vnccP3lxP9zeAE6oKcLZCysBAL9641DM7R7YsA83/PrdtOwEGlZP6NYoqMmLzfjEU3YQJ873GfQFyUiO9Izgo//xJt440IN8hxU/v+5k/PL61bjgxBqcMb8SP7umGRYJ+MOW4/jZywdS+ln9oz74g0pglK4dNQDgsFnUZuHo8/+MhEENxRBZmpI8O/Ic09eCT1YnoLTL1OzrdMMXCKHYZcOs8vxpb2uJajp94YPESlDiftaXZr/8BJh7rFv8WzdNMbXhslux7rwFAICHXj2YcLYmGJLxyKsHAQC3nrcAz952Nr73kWWQJOCVvd3qgr/X93fj31/aj1f3duPXbxxJ8t5MTcvyEzBxKWRVHKfAi0MJuwzcE2EEHn8Qn/3NJhzqGUFDaR7+93Nn4JKlsVnIi5fW4jsfWQYAePzvRxAKJZ+tEf00lYWOlM8Vm4nRm4UZ1FAM8QIUT4e9CGr2dw3H/WL89qFeXPXQm/inX7yNW594D997ZheO9o6on9/RqmwIXtFYGlfDrChBbdjVmVCKVzQK66H8BERtFTZjUDNumm4yn1jdhIoCB7rdXnzQltiW6Od2duBQzwhK8uz43Nr5sFgkzKkswAWLlcfGr988jDFfEN94aqf6NY+9eVgtF2lFfL9CpzaZmuKoTE1FgSOuJur54RPf93eZZ1NzvB574zDWPfEeRjJwwvT9z+3Fwe4RVBU58dS6M7CkvnjS231ydRMKnTb0jvjw/vGBpH+eKD1VxdFXlSrx3N8xaMyjEhjUUAzxAhRPWaai0KnuTPigdeYXIo8/iK/84X1saxnA3w/24pnt7fjVG4dx99MfqLfZHj72YPkMpSfhjPkVKHBY0THkUQOimQRDMjrDTXfT9Q1lkpkzNeIdX900gbLDZsHiuiIAkc2p8ZBlGQ+9oqT2bzhjTkxA8Zmz5gAA/m9LK777zC4c6xtFXYkLcysLMDjmx2/fPproXZmWltNPAFCaFynVxTvxsqhGCWr2dbgN2+iZrJ++vB9/3d6OJ95JroQZr7cO9uKxNw8DAO7/+IppG7gdNgvOWaSUQlNZMhnPgaZaEc/9HSw/kRkkkqkBgJWNpQCA9+M4g+kXGw/heP8Yaotd+MknV+Grl54AAHhjf7f6wrcjPPm0YoYmYcFps2LtCdUA4i9Bdbu9CIZk2CxSWuvTiTDzUQntcfYvzQ9Puh1KIKh5dV83drUPId9hVZf5CafPq8CJdcUY8wfx3+Fene99ZBluDZe6fvn64ZQORI0WCskY9qWv/BTvxMvcygJYLRLc3oChx3ITNeINqAs1f/XG4YQHB+Ll9vjxlT+8DwC45tQmnLe4esavOS/8/PTy3uSDGnXLeyYzNQZ9/DCooRiJZGqASEZl+wyp1baBMfxHuO/hrssX46rmBnx+7QKcPLsMIRl4elsrPP4g9oZP4443UwNESlAv7OqY4Zbhawm/A6kpdqlTR9kW2SpsvgV8nYPxTW2IoCbeQy5lWcZD4QbMT502Wz0mQJAkCZ85c47698uX1+LCJTX4yKp6zCrPR9+IL+ZdfSqZjWFfAOLLtZ5+AuJ/h+60WTE3fILzvs7cKUGJbbuA8hz2p23pWeZ433N70DowhqbyPHzjQ0tm/gJAfdO1s3Uo6V6nTnXyKf1vwmrUXTUsP5EJdCQ4FbRCDWqmz9Ssf3YPxvxBrJ5dFrMo7+MnNQJQSgR7OtzwB2WUFzjQkEAD79oTqmGzSNjXOYwjPTO/y28f0M/kk2DW8pMyiqo8Oc707y3OtIk3qNlytB+bj/bDYbXgn8+aO+ltrlxVj7mVBagqcuLbVywFANisFqw7Txkj/49XD+Kzj2/Cmd9/GSd+8zls3Ncd188eT0w+OawWzZatleRFBzXxP1ajS1C54vhAbKnk568dTKkxdzLBkIynt7YBAO65anncvVNVRU6sDD9PvpJktkaUn6rSOM4t1LH8RGaSaFAjdsm0Doyhd3jyyP7dw334y/ttkCTg21cujWkA/tDyOjhsFuztdOPJTcfU75nIVt2SPDvWzFPGy1/fP/OLkp521AhmDWp6RrwIhGRYpJmnd0Sm5ljvaFynv4sdNJcuq52y58Rps+LZ287Gq19ZG3ObjzY3oqE0D30jPry0pwutA2Pw+EN48OX98d61GFr30wCxQU0iW2QXViu9SWITcS5o7Vd+p0+bV44ilw0Hu0fw4u7El3JOZ3f7ENzeAIqcNpy5oDKhrz0/3LT+0u7kghrRA1iTgXJ5pFGY5ScygY4EzxcpctnVd9hTZWse3aiUnf7xlFlYNq5XpiTfjovCY9m/36RslJ1pP81kFtcq0wct/TO/u2jX2Tg3ABTnKS+G6difkk2dg2IU1ameGzaV2mIX8uxWBEJyXFuq93TEt8/IZbeiYNy7aofNgp/9UzNuOGMOvnPlUvzq+tWwWSRsOtKv7klKhFvDc5+E6NPjE9kie0JtOKjJoQmo1nCmZnFtMT512mwAwCOvHdS0WfrtQ0oQvXpOWcJl6/PDvTdvHOhJ6kyorji2vGtFlJ+GPAHNes4yiUENqTz+oLriO5EsRqRZeGDC52RZVg+9/OQpTZN+/cdOagjfVvn7TJuEJyOut20gnqAmfO5TBp4g4mXWTE0iPVoWi6QGyPE0C+8Jl1fEi3iimmeV4dtXLsX1Z8zBBSfWqHtGkpmKSkempjTF8tP+TrfmJRi9Er/39aUu3HjmHDhsFrx3bABbWwY0+xnvHFaWjK6ZV5Hw1y6tL0ZVkROjviDePZzYstJQSFaPSMhEUFPktKEgvKPMiNkaBjWkEnVbp80Sk/qeiXinvGOSTM2xvlH0j/rhsFpwYt3kLz7nLKpCRVST54pwkJQIMZodzy9hJFOjv6DGbHtq4jlHLNq8OJuFx3xBHAnvNxJZulSJd/h/2tqacMZM3L7Iqc3kE5BcozAAzK4ogN0qYdQXVDMYZifKTw2l+agucuGiJUr29/V9PZp8/1BIxqYjSjBy6tzyhL/eYpFwvpiCSnC0u2/Uh0BIhiRB3fabTpIkRTULM6ghAxMP4LoSV0I9LSKoef/44IR077bwO6UT64vhtE3eQGm3WnDlKqV5uKrImVSHf104QGmPJ6gZmPlsq0yLTD+ZK6jpTHBFwHw1UzN9ULOv0w1ZVp7ktRrLP21eORZWF2LUF8QftxxP6GvTkakpdtmxorEES+qK4zrMUrBbLWp/0v6u3OirEcFbQ3hv1qkaH+Gyr8uNgVE/8h3WpDLJANTx79f2JtaMLsa5KwpmLuFqpdbAW4UZ1JAq0XfVwpK6ElgtEnqGvROCiq3HBgAAzU2l036PT58+B9VFTlx9cmNCAZUgTtvuGPIgOE3KPRAMqds52SicfvHuqBEiY93Tl59EP41WWRpAeYd63elKtua3bx9NqB9D6yMSAOXd/Z8+fyae+cJZCfdwLKxRsqJ7O8zfV+MPhtQXX5F9FdvOtx4bmPb5IF7vHOpTv2+yxxSIDM+hnpGEelUyuXhPEL+v8bxJ1BsGNaTqSHIqKM9hxaLwk+j4ZmGRqVk1Q1Azt7IA737jQnz10sUJ/WyhqsgJq0VCMKr+PJkutxchGbBbJVTGcZZOpoigZsQXjGvyxyg6E2w8nxdnpmZ3u5KBWJxkP81UPtrcgAKHFQe7R/DWwfgPSR32antCt2CxSLAksUtpUXWkr8bsOgY9CMnhwxjDZ18tri1CodOGYW9A3X2VCnFg7pokSk9CeYFDLR8dSKCJuzODTcKCmqlhUENGJs76mO6MnqmIDcDRS/i8gSB2tSnvqGcKalJltUjquGPbNPsV2qMW7yXzYpEu0S+GZipBJbrMcV6l8mLcP+pXm9a3HO3Hl57cFhOs7k2xSXgqRS47rmpWGtcTWeCWjvJTKhapE1DmD2rU0lNpnvo7bbNa0DyrFEDqJShZltXm3lPnJt4kHG1BONhMZDFiZxYyNXXsqSEzaB1Qxmjrk+g1WdE0cQnf7nY3fMEQyvLtmF0x/YnbWqgrnblZuG1Af6UnQHkSFsu8hjzGG6OcSrzbhIU8h1VdvHioexihkIyv/u/7eGprq7oaQJZltfx0Yp125SfhnEVVAIAdrfGPdusuqAlnTvd3DmtSftGzSJNw7POWKEFtPtKf0vc/2D2CnmEfnDYLVjYl108jqP9fEgg2M3mYpVBj4F01DGpIdTz85NBUnkRQ01AKQMnUiF6E98Olp5VN8Z24nap4xroji/f00yQsmK2vZsQbgDt8YnIi25ujNwtv3N+t9tf8dXu7uqG4f9QPixR556ulpeETl/d3uuPeKSL21GjZU5OKWeX5cNos8AZCaIlj54+RtUaNc0dbPVspFYmVEskSpafmWaVTDjvEa2FUsBmvbGRqapmpITMQT36NZYlnVU6oLYLTZsGQJ6Bueo23n0YrdXE0t4nP1elonFsQ7/LNEtSIJ8RCpy3ulfJA7MGWv3rjsPrxtkEPtrYMqMvx5lUVanYkQbSG0jyU5tsRCMnYF2ej7ZDOMjVWixRV6jB3CaptIDLOHW3VrFJYJCXoaU9h5b9oEl6TYukJiPQ6JfL/RGRqMnGYpSCCmm63FwGD9fgxqCEAygupeGJuLEs8i+GwWXDNqbMAAOuf3Y1QSM5CUKNc93RPYOo4t44W7wlm21UTKT0l9g5TjHW/uLsTr+/vgSRFRnT/ur095aV7M5EkSc3W7Gyb+fR5ID3TT6mKlDrMPQE1fpxbKHTa1PJksiUoWZY1aRIWRKbmeP8YRrzxlZmz0ShcWeCEzSIhJAPdUxx/o1cMaghAJEtTWehAviO5d5tfvGAhipw2fNA2hMf/fgSHw4dLZiqoqY9jV41aftLREQmC2cpPiTYJC+PHui9eUoObz5kHAPjbjnY1U3NimoIaAFhWr/ROfBB3UJOe6adULAxvFtZi+kfPRE/NZMs0V4f7apItQe1sHULnkBd5ditOCn+vVCQ6ARUMyegZVhrmqzNYfrJYJPVoDqP11TCoIQDA8f7kS09CeYEDnz9vAQDg3r/tBqCMakefYZNOaqZmYObyUzLN0OlmtqCmPcEmYUFsFRY+c+ZcnL2oEkVOGzqGPHj+gw4A2u6oGW9peJpvZ5zNwsPhd93FOgpq5lUqGa94ztEyKlmW1UxNY+nE567VKS7he2GX8lg7d1GVZqVOceBoPBm03hEvguEDYaO3rmeCeDNitAV8DGoIQHSTcGpTSjeeOQf1JS4EwhMXK5M4nDJZoqemy+2ZtA7sC4TUVGqi2YNMKBblJ5Mcapnojhqhptipnj2zrKEYp84th9NmxUVLldX3Hr/y/3bxFMduaEGUn/Z0DM3YUxAKyWrJsFhH5SfRYxLPeWhG1TvigzcQgiRN/ju9eo6SXdnd7o673BNNBNCXLKtJ7UKjRJ/NNROxeC+eA2G1ZtQFfEn/Kx04cADPP/88xsaUXxgtT0OlzIs0CaeWwXDZrbjz0hPUv2eq9AQov/h2q1IH7pxkAV/nkAeyDDisloy/64mH2XpqRNo60fF5SZLUTMlnz5qrTs5dsaJevU2R0zZhhFdLcysKUOCwwuMP4VDP9NuN3Z4AxNR0prKS8RDlmC63N6mToY1AlJ5qilxw2Ca+nNWV5KGhNA/BqB6/eB3uGcG+zmHYLBLOP0G7oGZBuK8mnmbhbPTTCOpYt9kzNb29vbjwwguxaNEiXH755WhvbwcAfPazn8WXv/xlzS+QMqNFZGpSKD8JH1nZgNWzy2C3Sjg7vPMjEywWKWq/wsR3p9E9HnpavCeYrfyUyhPy/R9fgYf+6SRctapB/diZCyrVf6MTaovSuibAYpHUJtOdrdP31fSPKj0PBQ7rpC+s2VJe4IAzfD2dg8Zq9ozXVOPc0cS+GnEgZbxeCGdpTp9fgZJ87TJwixJYwNcVfnNWrdH5ZokQb0aMtlU44d/AL33pS7DZbDh27Bjy8yMvgJ/85Cfx3HPPaXpxlDkiU5PMjprxLBYJ//XPa/DG185Xmz4zJbKrZuIvYlscT4DZVJxnzpHuZEp9cyoL8KEVdTGBi8NmwSXhEpQoD6XTsgbRLDx9X40IavSUpQGUjJfIZpn1tG51nHuaN2OiBJVos7AoPV28RLssDRCZSmsdmHkCSrwxqM5CpqY+/NjZfnwQIQMtcEw4qHnhhRdw3333obGxMebjCxcuxNGjRzW7MMocWZYjPTUaZGoApQyVjZTpdGPdx9UpCf01CQPR5SfjbxQOBEPqsQaJ9tRM52uXLsat5y3AunBDejqpY90zZGoGRpUgtFTDd/NaEY91s/bVHJ9im3C0ZA637Bry4L3wYbwXLalN7SLHKStwqOfOzTQBlY3Fe8K5i6pQ7LLhUM8Int3ZkfGfn6yEg5qRkZGYDI3Q19cHp1M/BwRS/HpHfBjzByFJ+n3Bj5dYqjddpqZRp/fRTOWnnmEfQrKyBK5Cw4NDKwqd+MolJ2TknevS8Fj3rrahad+pDowpmZoynWVqgEhW0qxBTeTcp6kfD4tri9XDLcXxGjPZsLsTgNITmI6hgoVxLuHrGY40CmdakcuOz5w1FwDw4Mv7DZOtSTioOfvss/Gf//mf6t8lSUIoFML999+P8847T9OLo8wQpafa4smb7YxEjGpPtlshUn/XZ1AjJmfMENSI0lN1+PR0I1pYUwiH1QK3N4CW/qnHovtHDJCpSWGjrp6p5z5NM+BgtUjq4ZbxlqCe/0AJai5eqm3pSVAnoGbI1IhDXbM12HDjGXNR5LRhT4cbL+zqzMo1JCrhV7D7778fjz76KC677DL4fD589atfxbJly7Bx40bcd9996bhGSjMtm4SzLTKGOPFJvE3nQY3I1Lg9fsO8K5pKR9Rp6EZlt1rUrcXT9dUMjOo5UyN6aozV7BkvEayNPyJhPHEOVDybhd0eP9462AMAuGSptqUnYWGcE1D94aCmPEtBTUm+HTecOQeAkq0xwpRzwkHNsmXLsG/fPpx11ln4yEc+gpGREXzsYx/D1q1bMX/+/HRcI6WZOs6tQZNwtolMTdu4TI0sy3G9q8smsacmJAPDPmP31YheAC37abJhWcPMfTX9Ou6paTRxT82IN6D2M83U/J9Is/Dr+3vgD8qYV1WQtkGHRXEebNmb5aAGUJZfFjis+KBtCC/v6cradcQrqfWXJSUl+MY3vqH1tVCWiG3CZsjUiJ6anmEvfIGQWk4bGgtgxKfs6tDjNmFAaa522CzwBUIYHPXrapFbokSTcCZXu6eD0lfTMm2mRq/TT0BUpqZ/DLIsp3UMPtNEObnYZZvxzK1VTaWwWiT1cMu6aZ4DXtqtvHCff0K1dhc7juipaR0Yw6gvMOnRNIFgSC1FZzOoKStw4LrT5+CR1w7igRf34bwTqnW5EkNIOKjZuHHjtJ8/55xzkr4Yyg4xQZDq4j09qChwwGG1wBcMoXPIo25IFk+AFQUO5Dm0P9lZKyV5dnS7vYbfKtw7ogQ1FQXGDmrmVc181IB44SnTYaZGlGPH/EEMjPpRpsOlk8mKZF5nfjNW4LThxLoi7GwdwuYj/bhi5eTPdaGQjNf2hYOaE9MX1JQVOFDssmHIE0BL39ikh7OKDKAkZT9gvunsufjd20exs3UIf9jSgk+eMiur1zOdhIOatWvXTvhYdPQfDJpzc6WZRXbUGD9TI0kSaktcONY3ivbBiUGNXvtpBBHUGL1ZuNutZC8qi4z9IjpLPH76xxAMyZM2PffruKfGZbeistCJnmEvWgfGzBXUDMw8zh1t9ezycFDThytW1qNj0IPvP7sbV66qx/mLlYbg7a2D6Bn2ochpwylzUj+VezqNZfnY1T6E4/2jUwQ14Qxgnj3rzfYVhU7cduFC/Ntfd+P+5/bi0qV1mi4k1FLCPTX9/f0xf7q6uvDcc8/hlFNOwQsvvJCOa6Q0CoYiB8KZIagBIgv4opuF2xJ8AswWcSCi0Y9KMEumpq4kDzaLpGb+JiOmn/T6JN9g0rHueMa5o4l9NZuP9mPUF8Bnf7MJf9rWhjv/sB2j4R420TNy9qJK2NN81pJYdNoyRRawN3w6t14C0evPmIOF1YXoHfHhgRf3ZftyppTw/7WSkpKYP5WVlbjoootw33334atf/Wo6rpHSqHPIA39Qht0qGb6pU4gsHIu8CBkpUwMYfwGf2K9RZfBMjdUiqY3lU7346Hn6CTDvAr5EG/8jh1sO4QtPbFX7pHpHfPjPt5TFsS/vUcaWz0tjP40gehjF9Ol4IlOjl3Pq7FYLvn3lUgDAb98+GvfOn0zTLBStqanB3r17tfp2lCHiibq+NC/rKU6tiGzMsb7IQYTxnBGjB2ZZwCfeZRo9UwNEXnwm66vxBUJqA7oee2qA6F015hrrjmRq4sswi8MtQzLw0p4uOKwWfPr02QCARzcewuGeEexsHYIkAWszEdSEM+NTBctiR42eguUzF1Ti8uW1CIZk3PmH7Tgyw2Gv2ZBwT8327dtj/i7LMtrb2/H9738fq1at0uq6KEPM1CQsiPX277dExnDVbcI6v5/FJghqRn0BjIZf6CsK9fOEnCz1xWeSd9Rim7BFgm6n1epNev5T5Nyn+H+nV88pQ+s25evu/dhyXLWqHq/v78HhnhHc8l9bAAArGktRlYEDJNXy0xSZGnXxns5+h77xoSXYuK8HO1oHcdEDr+G60+bgixcsyHozs5BwpmbVqlVobm7GqlWr1P++/PLL4fP58Mtf/jId10hp1GKicW5hVXh76N5ON8bCL66tOj/3SRCjm6InxYhElsZps6DQmdTWCF2ZrvdB7EkpybPrdszVjD01/qgep0Syr1eurIfNIuGL5y/AP5zcCJvVgi+cr5wjtqdDWYSXzlHuaOI593jf6KRL7fSYqQGUTPif1p2BtSdUwR+U8dibh3HxAxvR5dZHJjDhZ5zDhw/H/N1isaCqqgoul77T+jS5lj5zNQkDSpq5ptiJziEvdrQOYmVTCbrCe1P03ihcXaT8Hok9L0YUfV6NGfaizJqmTCA2vurlXepkRHnGTEFNx6AHIVk5ub0ygRLnBSfWYNd3L405DubKlfX42csHcChcSrkgjaPc0RrDQY3bG8DgmH/CY6hPB4v3prKgugiP33gqNu7rxt1P78TR3lGs/9sePPDJVdm+tMQzNbNnz47509TUxIDGwESmRu9lmUStaioFAGxr6VfPgXLZLbp8gogm0t7GDmrC49w6S5sna7qeGj1vExZEJqPLrSykNIPo07kTzZCNP9/OZrXgixcsBKBswBbl63TLc1jVgyrFm8toolFYz89Z5yyqwk//sRmSBDy1tRVvH+rN9iXFl6n56U9/Gvc3/OIXv5j0xVDmHTfRjppoq5rK8PwHndjWMoBlDcppy/WlebrPHIigpsvAQU1vOFOj5enc2SQyNV1uLzz+IFz2yPJGvU8+AcqLotNmgTcQQsegB7MqjP+73qZx4/9HVtXDFwxhUU1RRp8jmsrz0DPsRUv/KJY3lsR8TpRx9RzUAMDKplL806mz8Lt3juHuP+3E3247O+3j8NOJK6h54IEH4vpmkiQxqDEQXyCknqZstkzNyiblCWLbsQF1sZbeS0+Acqo1oJRwQiFZt30a04mUn/T9ZByv0nw7Cp02DHsDON4/igXVkUVpA2P6z9RIkoSG0jwc6hlB68CYKYKaRBfvzUSSJHxidZMm3ysRTWX52HpsYPLSpgEyNcKdl5yAZ3d2YH/XMB574zD+5dzsnQMZV1Azvo+GzKF9cAwhWSnLVJnkXbWworEUkqSMsW49phxip9czn6KJSQd/UMbgmDHX2ovyk1kyNZIkoak8H7vbh9DSNxYT1Oh5m3C0+nBQY5a+GnVHTZzj3HoVmYCKDWpkWdbFYZbxKs134K7LFuPO/92Of39pP65YWZ+1oYzs5Ygo60Qdt7EsX/dlmUQVOm1YFH7xef6DDgD6PZ07mtNmVd/1dw8bswQlnowrTRLUAEBT2eQvPgPhbcKlefrN1ACRMo1Zgpq2wcTHufVIXcA3rqdm1BdU+5+MENQAwMdPasTq2WUY8wfx+v7urF1HUvOWx48fx5///GccO3YMPp8v5nM//vGPNbmwqTz00EP4wQ9+gI6ODqxcuRIPPvggTj311LT+TLOKjHMb+4lhKquaSrG3061mDvQ+zi1UFzkxMOpH15AXi2omngmjdz1uc5WfgEhfzbHe2KBGPZ9H5y88kQV85ghqIisajD2kEtmBFPu4EpNPLrtl0hO89chikbD+Y8sx6gtiZXhQIxsS/td66aWXcOWVV2LevHnYs2cPli1bhiNHjkCWZZx00knpuEbVk08+iTvuuAOPPPII1qxZg5/85Ce45JJLsHfvXlRXZ2YMz0zMdJDlZFY2leLJzS3q343QUwMozcL7OofRPayPvQ+JMsu5T9GmevERe2r0uk1YiCzgM+ZjKposR86razR6+Unsqukfi+mhU8e5dV7WHG+hDt6EJVx+uuuuu/CVr3wFO3bsgMvlwv/93/+hpaUF5557Lq6++up0XKPqxz/+MW666SbceOONWLJkCR555BHk5+fjsccem/T2Xq8XQ0NDMX8owozbhKOtGvduwTBBTaGxx7rVkW6Dn/sUTc3UjCsTiI3Ceu+paTDR+U89wz54AyFIElBbYuxMTV2pCxZJGdqILjerQY2Jsp2ZknBQs3v3bnz6058GANhsNoyNjaGwsBDf/e53cd9992l+gYLP58OWLVtw4YUXqh+zWCy48MIL8dZbb036NevXr485fLOpKfPd7Xpmxm3C0RbVFCIvPH5rpCdAdax7yHhBTSAYijqIz0yZGiUoGL/91Qh7agCgplg8poyfqRGBWU2Ra8LOGaOxWy2oK5m4sVqv24SNIOFHREFBgdpHU1dXh4MHD6qf6+np0e7Kxunp6UEwGERNTU3Mx2tqatDR0THp19x1110YHBxU/7S0tEx6u1xlxm3C0WxWi7r7obrIaZgnQHWrsAEbhftGfZBlJYg0SoNjPKK3v4qSkyzL6p4aPW8UBoCq8GNqyBOAxx/M8tWkxiiH08Zrsgko9dwnE/0OZUrCz/KnnXYa3njjDQDA5Zdfji9/+cu455578JnPfAannXaa5heYCqfTieLi4pg/pBjzBdV9ImbN1ABAc7gEZZQmYcDYW4XVhWH5DtOc+g4ALrtV3SEkXnxGfEH4g0rWRu89NcUuG5zhoN6Ij6to6ji3SZ63JpuA6hOrAhjUJCzhoObHP/4x1qxZAwD4zne+gwsuuABPPvkk5syZg1/96leaX6BQWVkJq9WKzs7OmI93dnaitrY2bT/XrI6Hn5iLnDYU5xmjuz4ZFy2pgUUCzphfke1LiZsZghozjXMLkb4a5XdHnPvksFnUMqdeSZKE6nAJqtPgJSitF+9lW9MkZ4v1DTNTk6yEg5p7770XfX19AJRS1COPPILt27fj//7v/zB79mzNL1BwOBw4+eST8dJLL6kfC4VCeOmll3D66aen7eealdokXG6+HTXRVs8px/vfuhhfufiEbF9K3KoNfFRCj3pEgvmejCMvPsrvzuBYZPLJCL9DoqxpxMdVtEhQY+LyEzM1SUs4qOnu7sall16KpqYm3HnnnXj//ffTcV2TuuOOO/CLX/wCv/nNb7B7927ccsstGBkZwY033pixazALs++oiVbkMsaLjiAyNYNjfngDxup/6DHZuU/RmsZnakQ/TZ4xXnjUYNnomRq1/GSO565Jy0/sqUlawkHN008/jfb2dtx9993YtGkTTjrpJCxduhT33nsvjhw5koZLjPjkJz+JH/7wh/jmN7+JVatWYdu2bXjuuecmNA/TzMy+o8bISvLscIQPhBPj0UZhthO6o4k3AKJ0a5TJJ8HIGcBokUyNOZ67xHNw++AY/EFli3A/p5+SltQ4SFlZGW6++Wa8+uqrOHr0KG644Qb89re/xYIFC7S+vgluvfVWHD16FF6vF++8847a30OJUSefTPJux0wkSYoa6zbWu+pe9TBL82VqRE/Nvk53zOSTUV54qouNX34a9gbUsp9Zpp+qCpXJzJAcaQsQR42YsYybbinNuPr9fmzevBnvvPMOjhw5woyJgYjyU6NJJgjMptKgzcJmO6E72sqmUhQ4rOgc8uK9Y/3oD5/7VFZgjExNlQkyNWJHTbHLhiKXMf7dZ2KxSFhWr0zmvnmgB4FgKKpfy3y/R+mWVFDzyiuv4KabbkJNTQ1uuOEGFBcX45lnnsHx48e1vj5KE/GOgOUnfVK3ChtsV436DtNEi/cEl92Ki5cqk5Z/3tambhPW+44awQw9Ne2DyrUbaUVDPC5coiQEXtzdqZY1Jck4jy09STioaWhowOWXX46enh48+uij6OzsxGOPPYYLLrjAUM2YuWzI41ffCZj1iASjE+O3RsvUqCPdReYLagDgylX1AIC/7mhX+4f0fkK3oC51NNhjKlp7OFNjlO3g8brwRCWo+fuBXrVnqzTPbqpdT5mS8IKSb3/727j66qtRWlqahsuhTBBNwhUFDhQ4zbujxshEpsZIpQJZltXMklmnNs5aUImyfDt6hn14dW8XAOOUCESg3Dvigz8Ygt1qjA3b0USmRhwtYBYLqwsxqzwfx/pG8fS2NgDm2sidSQk/qm+66SYGNAYnmoQbWXrSLSMu4Bv2BuALKNMbZmwUBpSzei5fXgcAcHsCAIwz/VSe74At/M6/x2BlTaF9MHxEgskyNZIkqdmaP21rBcCgJlnGC9UpZcfVJmFzvdsxk2oDBjWiHFPgsCLPoe8Nu6n4yKqGmL8bZUGaxSKpwaYRD0sFIpkas5WfAODCJdUAoJ4txqAmOQxqcpDaJMzJJ90yYqam18SL96Ktnl2GuqgXVb2f+xRNlKCMVNaMZtZGYQA4ZU45il2RdgAGNclhUJODIov3zPfEYBbRQY0sy1m+mviYeZw7msUi4YqV9erfSwyyURiIPirBmBNQHSbO1NitFpy3uFr9O4Oa5DCoyUGRIxKYqdErUSbwBUMYGgtk+WriI8pPZs/UAMCV4aDGbpUM01MDRGVqDFh+GvL4MexVfhfqTBjUAJEpKMA4Deh6w9GXHNShpnDN+cRgBi67FSV5dgyO+dE97EGJAV44zXxC93jLGkrw3Y8sRaHTZqgpIiMflSCet0ry7Mh3mPOl69wTqmCzSAiEZGZqkmSc30bShMcfxFB4aqOqkEGNnkWOSjDGC1CulJ+ET58+Bx87qTHbl5GQyK4a45WfxDZhs2ZpAKDYZcdly+tgtUhY0ViS7csxJAY1OUZsfHVYLSjOM+e7HbMw2lZh0adRbdLFe2ZghkyNmYMaAPjBP6zA23ddgAXVRdm+FEPiq1qOEdM0lYUOboDWOaNtFRYvlFVF5n7RMTIj99S0iaDGhJNP0Vx2K1x2865ESDdmanJMt/rCw3fTeme0rcLihVK8cJL+iPJTz7AXoZAxpuqEDpMu3iNtMajJMZG+B77w6F2VgQ4glGVZDZhZftIvJUMLBEIy+kZ92b6chEQW75k7U0OpYVCTY5ipMQ4xGt0X3jCqZwOjfviCyhEJfGzpl81qUc/lMloJSl28x0wNTYNBTY4RmRq+8Oif2FQ7YIB31KJEVppvh9PGfgA9Ez1PnQaagJJl2bQndJO2GNTkmEijMIMavRNnCvWNGCGo4eSTUajnihkoUzPkCWDEFwRgvhO6SVsManIMy0/GITaKDhig/KQ2CXPySfciY93GydSIce7SfLupD0ul1DGoyTFsFDaO8nBQM+wNwBcIZflqpifKT5x80j8jHmrZNigW7zFLQ9NjUJNjmKkxjiKXDZbwKiG999VEyk/M1OideqilgcpPubJ4j1LHoCaHjPoidWkGNfpnsUgoDWdr9D5+Gyk/8XGld0YsP7XnwBEJpA0GNTmkx628MLrsFhSwLm0IYgKqf0TffTVqpoblJ90zYvmpnZkaihODmhzSPaw8MVQVOXlEgkGIZuF+vWdq3GwUNgq1/OT2QpaNsVU4EtSwp4amx6Amh3SHMzVsEjYOMdat56BGlmWWnwykptgFiwT4AiH0DOv3cRWtXTQKlzJopukxqMkh4rTnKgY1hhFZwKff8tOwN4Axv9KrxfKT/jlsFtQUK8HB8f7RLF/NzGRZZqaG4sagJodw8sl4jLCAT5SeCp025DtsWb4aikdjmRIctIYbcPVsyBPAqLp4j5kamh6DmhzCHTXGY4SeGp7ObTwNpUpQc7xf/0GNKD2V5dvhsnPAgabHoCaHMFNjPJHpJx0HNTwiwXAay/IBAK1GCGoGWHqi+DGoySEMaownkqnRb08Nj0gwnoYykanRf0/N8XCJTFwz0XQY1OQQlp+MxwjTT8zUGI+RempENkmUzIimw6AmR8iyrGZq+OJjHGqmRtflJ/bUGE10T43ed9WIbFIjMzUUBwY1OWLYG4A3fCgiMzXGIXpqhjwBBIL6PNSS5SfjqQ8HNaO+oK7XBQCRbBKDGooHg5oc0R01dpvHIxIMoyTPDrH8eWBMny8+LD8Zj8tuVXvr9D4BFSk/5Wf5SsgIGNTkCDYJG5PNakGxS98TUCw/GVOkr0a/zcIef1B9fLFRmOLBoCZHiHXolYWOLF8JJUod69ZhmWDMF4TbEwAAVLH8ZChG2FUjNgnnO6zq7wHRdBjU5Ihud+QwSzIWPW8VFqUnl92CYhe3CRuJ2FWj56AmevKJh/BSPBjU5Aie+2RcYgJqQIdj3dGnc/NFx1giu2r0G9SIySeWniheDGpyRA9P6DYsPS/g4+ncxmWEXTWcfKJEMajJEWqmhi8+hhPpqdFjpiY8+cQmYcNpLNX/VuHjnHyiBDGoyRHcJmxc6lZhXfbUcEeNUYmSjtsTwKBO1wWoPTXM1FCcGNTkCI50G5eeT+oW5Sc+rown32FDeThg1uvBliw/UaIY1OQAWZYjmRq++BiOnke6e1jWNDQ999X4gyG0D4aDGp77RHFiUJMDRnxB+IPK+S7l+dxTYzR6Lj8NeZRAqySPO0SMqEHHfTUdgx6EZMBhtbBsTnFjUKOB7/5lFz784Ot480BPti9lUsPh5WhWiwSXnf/LjUbP5aehcC+G2HpMxqJmanRYfhLZo4ayPFgsXBdA8eErnAaO9I5gZ+sQWvr0924HANzhd9NFLht3iRhQWYESMAyM+REM6etEZbFNuIiL9wxJz1uFj0ct3iOKF4MaDYiFdmISRG+G+MJjaKV5SqZGliOZEb1g+cnYxFZhPfbUtDKooSQwqNGA2NHRrdOgRs3UOPnCY0QOmwVFTiUg7dNRCcoXCMHjDwFgwGxUka3C+ssyi4M2OflEiWBQowEx+SEWkenNsFfJ1BTyhcewSkUJSkdBjQiWAaDQyceWEYmgpn/Uj5Hw84ReHOeOGkoCgxoNiBXx+s3UKE9WPHDQuESzcN+IfspP4nFV6LTBZuVTiREVu+zq84LeSlBqozDLT5QAPhNpIJKp0WtQIxqFWX4yKj1OQA1FNaCTcal9NTpqFg6FZLSJxXvlPCKB4segRgNiRXy32wtZ1td0CsAJFTMQC/j0VX4SGUAGy0amx76aLrcX/qAMq0VCDRc7UgIY1GhAZGq8gZA6aaQn0WUCMiaxgE9P5ScxicVg2dhEI+5xHZWfRJNwbbGLpU1KCB8tGnDZreoTux77aiKZGr6jNipRftJTpkaUn4o5zm1oetxVwyZhShaDGo3oeQLKzd4Hw4tkavQT1LCsaQ567KkRbw5ri3n6OyWGQY1G9DwBxRcf44scaqmfoIZHJJiDWn7SUVAzED68VTzuieLFoEYjVVHNwnrj9jJTY3TiQL+eYR0FNQyWTUEENT3DXnj8wSxfjWJgTHmcl/AAXkoQgxqN6DlTM8yeGsOrK1GC5vbBMd1M2LGnxhxK8uwocFgB6GdXTT8zNZQkBjUa0fOuGpafjK8m3Fvg8YcwqJPzn/i4MgdJknTXVzMYDmpKGdRQghjUaETPmRpOPxmfy25FebhZuH1QH83o7Kkxjwad9dWI8pM4zJUoXgxqNKLX6SePPwhfkIcOmoGYBOnQSVDDTI15iL4asR8m2/pHmKmh5DCo0Ui1ThuF3VHLAAscfPExskhfjT6CGvbUmIfedtWIEmspG4UpQQxqNCIyNf2jfvgCoSxfTYR6QrfTBqtFyvLVUCpqS0SmRh8vPDwo1Tz01FPjD4bU561SBsyUIAY1GinNs8NuVYKGnmH9ZGu4eM889JSpkWVZfWyxp8b49NRTI3bUSBKzgJQ4BjUasVgkdZeIniag2PdgHrUlygtPx1D2g5oRXxCh8GQ5X3iMT/TUdLo9Wc80D4abhItddmaXKWEMajSkxwko8W6ah1kan54yNWLyyW6V4LTxacToKgoccNktkGVlF1I2DXCcm1LAZyMN6XECiuPc5hHpqcn+4yvST2OHJPHdtNFJkqSbZuH+UTYJU/IY1GhIj0clsPxkHmKke9gbUDNw2TLEXi3TadBJs7A4iZ5NwpQMBjUa0uNWYWZqzKPAaVMnjbKdrXFznNt0IgdbZndXDctPlAoGNRrSc08N31GbQ124WTjbfTVDY8wAmo1afsry+U9im3AZy0+UBMMENffccw/OOOMM5Ofno7S0NNuXMyk9ZmrEvociNgqbQm3UwZbZxHFu82nUyVi3yNSUMAtISTBMUOPz+XD11VfjlltuyfalTElkanp0FNSwp8Zc9DIBNcTHlemoRyXoJKhh+YmSYZhnpO985zsAgMcffzy7FzKNqqjykyzLupgKiTR08gnCDET5Kds9NUPM1JiO2CrcMeRBIBiCzZqd97wsP1EqDBPUJMPr9cLrjWRNhoaG0vrzRFDjC4YwOObXxUiiyNQU8h21KegmUzPGBnSzqSp0wmG1wBcMoWPIowY5maaWn5ipoSQYpvyUjPXr16OkpET909TUlNaf57RZ1TqwXvpq2ChsLnrZVROZfuLjyiwsFkk9LuFIT/YmoERQw0wNJSOrQc3Xv/51SJI07Z89e/Yk/f3vuusuDA4Oqn9aWlo0vPrJ6W0CSjQKs0xgDnU6aRQe4qoAUzqxrggAsLNtMGvXwD01lIqsvs368pe/jBtuuGHa28ybNy/p7+90OuF0OpP++mRUFTmxv2tYN1uF2ShsLiJTM+QJYMQbQEGWptoi0098XJnJsoYS/G1HB3a0Zieo8QVCGPEFAbBRmJKT1WekqqoqVFVVZfMSNCcyNV1D2c/UBIIhjIafIPiO2hyKXHYUOm0Y9gbQMeTB/KrCrFyHOPuJjytzWdFQCgDYmaWgRjQJSxKzy5Qcw/TUHDt2DNu2bcOxY8cQDAaxbds2bNu2DcPDw9m+tBh14QVWrVleYAVESk8AD7Q0Ez301ahnP7GnxlSWNRQDAI72jmJwNPNHcQxG7aix8IRuSoJhgppvfvObaG5uxre+9S0MDw+jubkZzc3N2Lx5c7YvLcascmVi4GhvdleNA5EXHqfNAgdPUjYNPUxAcaTbnErzHepzWDb6agbCGUD201CyDPNK9/jjj0OW5Ql/1q5dm+1LizE7/ITQ0qefoIYlAnMRB1t2ZKlZ2BcIweMPAWBQY0bLG0oAANuPZz6o6R8JNwlz8omSZJigxihmVYSDmv5RBENyVq+FzZzmlO1MTfQJ4dx/ZD7LG5WgJht9NWqmhk3ClCQGNRqrK8mD3SrBH5SzPnbLxXvmVJvlrcJinLvQaYOVfQ+mo2ZqWgcy/rNFTw3LT5QsBjUas1okdRPnsSz31bi9XLxnRnrJ1DADaE7L6pWgpqVvTN0Zkyn9oyw/UWoY1KSBaLQ7luW+mmHRU+Pkux4zEdNPbVnKBPKIBHMrybdjdriMvrM1vUfLjMfyE6WKQU0aiCeEo1kOaniSsjmJx9fAqB99I5l9Jw3wiIRcsCxLJShuE6ZUMahJAzVTk+3yE3tqTCnfYUNDeB/Swe7M72niye/mt6IhO83C6rlPBSw/UXIY1KSBuqumbySr1+Hmi49pza9WNgkf7Mp8UKMu3mOwbFrZGuseiFq+R5QMBjVpMLuiAICygE+WszfWHTnMki8+ZjO/SnmMZSVTwyMSTG9pOKg53j+m7o7JhAE2ClOKGNSkgcjUuD0BDI5lftW4wMMszUuc+XSwO/PZwCEekWB6JXl2zKnI/GZh0ShcxkZhShKDmjTIc1jVgy2zeVyCKD8VcvrJdERQcyAL5Sf21OSGZRkuQXkDQfUA3tI8ZmooOQxq0iTSV5PNoIaZGrNaEO6paekfhccfzOjPjvTUMKgxsxUZ3iwsFu9ZJD5nUfIY1KSJOC7hWG/2moUZ1JhXZaEDxS4bZBk4kuHHWKSnho8rM8t0pkaUnnhCN6WCQU2azC5XGjmzuYCP00/mJUmSOgGV6RKUmqnhhIqpiaCmdSAzzcJi8olNwpQKBjVpoi7gy1JPjSzL6vQT31Gbk9os3JXZTE3PsBcAUM4XH1Mrdtkxt1J5c7YjAyUocUQCx7kpFQxq0qQpy0cljPiCEIeEM6gxJ9FXk8mxbl8ghO5wUFNX6srYz6XsENmaTAQ1oqeGk0+UCgY1aSIyNR1Dnow3cgKR0pPVIiHPbs34z6f0i4x1Zy6o6RzyQJYBh9WCCm59NT2xWXhHBvpqBsa4o4ZSx6AmTSoKHChwWCHLwPH+zGdrxJlApXl2SBKb7swoegFfKJSZJY8dQ8rJ4LUlLj6uckAmMzV9I9wmTKljUJMmkiRhVkX2moVb+5UTnOvDZwSR+cwqz4fdKsHjD2XsxO62AeXn1JWw9JQLljUUA1CahXvDZcd0aQm/+WvgcxalgEFNGs0qV345s9Es3Bp+8eEThHnZrBbMqRDZmsw0C7cPKpkaBsu5ochlx7wMNQuLA4DFOgyiZDCoSaPoM6AyTWRqGsr44mNmkQmozPTVtDNTk3OWZejE7qPhfUsiUCdKBoOaNBLjkNk4dFCUI5ipMbf51cpj7ECGHmNt4UxNHR9XOUNsFk5npmZg1KeeKSa2sRMlg0FNGi0Mj9zu78x8UMNMTW7IeKYmHCzXM1OTM5ZlYAJKZLOri5zIc3Bak5LHoCaNFtYUAVAmRsQhgJnCnprcENlVk6GemoFwpqaEj6tcsbS+GJKkZOl60tQsLM7Im81+GkoRg5o0Ksmzo6ZYOa07k9kajz+InmFlpJtBjbnNC2dqeoa9aXvBETz+IHrDqwLquXgvZxRlYLPw0R4lKJ9Vzn4aSg2DmjRbFM7W7O90Z+xniixNvsOKUm7nNLVCp00tc2452p/Wn9UR7qdx2S3cJZJjlotm4TSVoESmZg4zNZQiBjVptrBaCWr2ZTBT0xZVeuKCNPM7ZW45AGDT4b60/hx1nLuEj6tcs7Re2VezpyM9b844zk1aYVCTZotqws3CXRnM1LBJOKecOicc1BxJd1ATHudm6SnnLK5VgprdHUNp+f5H+5Ty02yOc1OKGNSkmWgW3peF8hP7aXKDyNTsbBvCSPhk9nQQmRo2CeeexXXK89iRnhGM+bQ9y87jD6JzSOkHm81xbkoRg5o0WxjO1HQOeTE4lpkJKB6RkFsaSvNQX+JCMCRjW8tA2n6OKGtynDv3VBU6UVHgQEjWPussjpEpctnYA0gpY1CTZsUuu7p9NVPNwsfDLz6NLD/lDJGteTeNfTXtXLyXsyRJUrM1e9q1fR470hPZJMxeLUoVg5oMECWo/RlakNbG8lPOOSUDfTU8zDK3nRjuq9nVrm1fjcjUsEmYtMCgJgPEyG0m+mqCIVkdvWWjcO44NZyp2XpsAP5gKC0/g4dZ5rbFdWICStugRmwTZj8NaYFBTQaoE1AZGOvuHPIgEJJhs0ioLuI76lyxoKoQJXl2jPmD+KBN+wmVUV9A7QljpiY3La4Nl5863JBlWbPvy23CpCUGNRmQyQkoMflUW+KC1cL6dK6wWCScMqcMQHr21YgsTaHThiIXmzlz0YLqQlgtEgZG/eq0khaO9XKbMGmHQU0GiPJTl9uLwdH0TkCpO2pYIsg5oq/m3TT01UTOfGKWJle57FbMCx+XoNW+mkAwhOPh56w5lczUUOoY1GRAkcuujsHuS/MSPnVHDftpco6YgNp8pA+hkHblAQBoUxfv8XGVy04UfTUaTUC1DSjlcofNghqWy0kDDGoyJFMlKBHUNPLFJ+csqy+By25B/6gfh3q07d8SmRruqMltYqx7t0YTUGKT8KzyfFhYLicNMKjJkEw1C/OIhNzlsFmworEUAPDesQFNv7d6RAK3Cec0Mdat1QQUJ59IawxqMkRkanalYTIlWuSIBD5J5KLmWaUAgK3HtD2xu01dvMdMTS4TmZqD3SPwBlI/LoE7akhrDGoyZE2432HLsf60NQvLshx1RAJffHJRc5MyAbVV60yNekQCMzW5rLbYhZI8O4IhGQc0WCZ6OGqbMJEWGNRkyOyKApxQU4RgSMbLezvT8jMGRv0Y8yvvnrggLTedFM7U7O10Y1ijwy1lWY46IoHBci6TJAknanhcwsFwYLQgPCFKlCoGNRl00ZIaAMALH6QnqBGlp8pCJ1x2a1p+BulbdbELDaV5kGVgu0aHW3a7vRj2BmCReJ4YAYvDfTWpNgt7A0EcCe+oWcighjTCoCaDLl6qBDWv7euGx596PXq8lnB9mi88uU3tq9EoqBFlhlnl+XDaGCznumUNJQCQ8onwh3tGEJKV07mripwaXBkRg5qMWt5QgtpiF0Z9Qfz9YI/m3/9IeJJgDpvuclrzLNFXo02z8IFuUSIo0uT7kbGJzdXbjw+m9OZMBMsLqwt5OjdphkFNBkmSpJagNuzSvgR1NJzKnc2mu5wWmYAa0OSMngPse6Aos8rzUVnohC8Ywo7WwaS/j1hvsZDBMmmIQU2GiRLUhl2dCGq89VXUp7luPLctrS+Gw2pB74hPHZlNhXjxYVBDgPLmTD1nLIUjOdRMTQ0fV6QdBjUZtmZuBYpcNvQM+7CtRdtdIuoiK2ZqcprTZsWSeqWZU4vR7kj5iS8+pFg9RxzJkfxz2P7wkTF8XJGWGNRkmMNmwXknVAMAXtCwBOXxB9WxW+58oJM06qsZHPOj262cyMwXHxJEpmbL0f6kzhnzB0PqjhqxmJRICwxqsiC6BKUVUWYoctlQlm/X7PuSMWk1ASVKBHUlLhQ6bSleFZnFkrpi5DusGBzzq5m8RBztHYU/KCPfYeV5YqQpBjVZcM6iKlgtEg51j6hj2Kk6ErWZk5MEJIKaXW1DKU6osERAE9msFvUxlkxfTfTjis9XpCUGNVlQ7LKjuakUAPD6fm1GuyP9NGwSJqChNA9VRU4EQjLeTyFbIzI186sY1FCs1bOT76vhRB2lC4OaLDlnURUA4PX93Zp8P3Xyif00BGVC5cz5FQCAP21rS/r7cEKFprI6hQmo/V0c56b0YFCTJWcvrAQAvHGgB4FgKOXvx0wNjfePp84CADy9rRVuT3KHqKqTT8zU0DjNs8pgkYDj/WPoCA8pxCuyo4aPK9IWg5osWdFYipI8O9yeAN4/nvwCKyGyo4aZGlKsmVuO+VUFGPUFk8rWjPmCOB4+9Z1lAhqv0GlTVwdsPhp/tiYYknGwmxlASg8GNVlitUg4a4GSrUm1BOUNBNEWPsySmRoSJEnCtWtmAwB+9/bRhLcLH+wehiwDZfl2VBTybB6aSPTVbDocf1BzvH8U3kAIDpsFjWV8viJtMajJIlGC2rgvtaDmeP8YQjKQ77Ciii8+FOXjJzXCabNgT4cb7yW4iO8gl+7RDE6bp/Rt/WHLcezpiD21OxSSMeabOHknSk/zqwphtXDyibTFoCaLzg43C29rGcDgWHI9D0DsmU8cj6RoJfl2XLGyHgDwu3eOJvS1keMR2MxJk7vwxGqcvbASo74gbvrPzegf8QEAXt7TidX3vIjl334en3jkLTz0ygHsbB1EKCSrfVrsp6F0YFCTRQ2leZhfVYCQDLyVwqndR3p4OjdN7do1SsPwX7e3Y2DUF/fXceyWZmKzWvDgNc2YVZ6Plr4x3Prf7+H+5/bgM49vRt+ID4GQjHeP9OEHz+/Fhx98A6fe+yJ++5YSXDOooXRgUJNlZy9UsjWv7Us+qOHp3DSdVU2lWFJXDG8gpL6gxINnPlE8SvMdePTTJyPfYcWbB3rxH68eBABcf/psvPzlc/FvVy3DRUtqUOCwomfYh9Zw/x+PR6B04N7zLDt3URUe//sRbNzXDVmWkyofHellpoamJkkSbj5nHm5/chseee0gPnlqE6qLpl9N7wuE1C3VDGpoJotri/Gjq1filt+9hwKHFd//+Aq17DmvqhCfOm02fIEQthztx2v7uuEPhnDBidVZvmoyIwY1WbZmXjkKHFa0DozhhV2duGRpbcLfg5kamsmVK+vx678fwfstA/jR8/tw3z+smPb2D796EIGQjMpCJ8/mobhctrwOL3zpHJTm2ycNmh02C06fX4HTw0shidKB5acsy3fYcOOZcwEAP35hX8In3vqDIXWXyJxKZmpochaLhG9+eAkA4H+2tGBn69S7kXa2DuLBl/cDAL55xRI2n1PcFtUUzZgFJEonBjU6cNPZ81DksmFvpxvP7GhP6GvbBsYQCMlw2iyo4ZMJTePk2WW4YmU9ZBn43jO7IMsyBsf82NvhVkdvvYEg7vifbQiEZHxoeR2uWFGX5asmIoofy086UJJvx81nz8OPNuzDTzbsw+XLamGzxhdvHok6HsHCnQ80g69degJe+KAD7xzuw4rvvAC3JwAAyLNbsfYE5fT4fZ3DqCx04HtXLWOWhogMhZkanbjxrLkoy7fjUM8IntraGtfXyLKM/9nUAoCnKFN8Gsvy8blz5wOAGtAUOKwY8wfx7M4OPLNdyRSu/9gKlBc4snadRETJYKZGJwqdNtyydj7u/dse/PtL+/GhFXXId0z/v+d/NrfgrzvaYbNI+JfwCxXRTG67YCHOXFCJ4jwbmsryke+wYmfrEP62sx2v7e3G2hOqcNGSmmxfJhFRwiQ50QNhDGxoaAglJSUYHBxEcXFxti9ngjFfEGt/+Ao6h7y4eEkNHv7UyVOuET/Q5caHH3wDHn8IX79ssfrum4iIyGziff1mpkZH8hxW/Me1J+GaX7yDF3Z14r7n9uD/XX4i2gfHcM9fd+O1fd1YVFOEU+eW45U9XfD4QzhrQSVuPnteti+diIgo65ip0aGnt7Xitt9vAwBctaoeL+zqxOgkB8NVFDjw7G1no7qYU09ERGRezNQY2EdWNeBo7yh+vGEf/rStDYAyjnvHRYvQNjCGdw/34WD3ML566WIGNERERGEManTqC+cvQN+ID6/u7cLnz1uAfzipUR3Zvnp1U5avjoiISH8MMdJ95MgRfPazn8XcuXORl5eH+fPn41vf+hZ8vvhPHDYaSZLw7SuX4tU7z8MnVjdxBw0REdEMDJGp2bNnD0KhEH7+859jwYIF2LlzJ2666SaMjIzghz/8YbYvj4iIiHTAsI3CP/jBD/Dwww/j0KFDcX+NURqFiYiIKML0jcKDg4MoLy+f9jZerxder1f9+9DQULovi4iIiLLEED014x04cAAPPvgg/uVf/mXa261fvx4lJSXqn6YmNtgSERGZVVaDmq9//euQJGnaP3v27In5mtbWVlx66aW4+uqrcdNNN037/e+66y4MDg6qf1paWtJ5d4iIiCiLstpT093djd7e3mlvM2/ePDgcysF6bW1tWLt2LU477TQ8/vjjsFgSi8nYU0NERGQ8huipqaqqQlVVVVy3bW1txXnnnYeTTz4Zv/71rxMOaIiIiMjcDNEo3NrairVr12L27Nn44Q9/iO7ubvVztbW1WbwyIiIi0gtDBDUbNmzAgQMHcODAATQ2NsZ8zqAT6URERKQxQ9RwbrjhBsiyPOkfIiIiIsAgQQ0RERHRTBjUEBERkSkwqCEiIiJTYFBDREREpmCI6SetiMZingFFRERkHOJ1e6YBoZwKatxuNwDwDCgiIiIDcrvdKCkpmfLzWT0mIdNCoRDa2tpQVFQESZJS+l5DQ0NoampCS0tLzh25kKv3PVfvN8D7nov3PVfvN8D7rsf7Lssy3G436uvrpz1RIKcyNRaLZcLyvlQVFxfr6n98JuXqfc/V+w3wvufifc/V+w3wvuvtvk+XoRHYKExERESmwKCGiIiITIFBTZKcTie+9a1vwel0ZvtSMi5X73uu3m+A9z0X73uu3m+A993I9z2nGoWJiIjIvJipISIiIlNgUENERESmwKCGiIiITIFBDREREZkCg5okPfTQQ5gzZw5cLhfWrFmDd999N9uXpKn169fjlFNOQVFREaqrq3HVVVdh7969MbfxeDxYt24dKioqUFhYiI9//OPo7OzM0hWnx/e//31IkoTbb79d/ZiZ73drays+9alPoaKiAnl5eVi+fDk2b96sfl6WZXzzm99EXV0d8vLycOGFF2L//v1ZvGJtBINB3H333Zg7dy7y8vIwf/58fO9734s5Z8Ys933jxo244oorUF9fD0mS8Kc//Snm8/Hcz76+Plx77bUoLi5GaWkpPvvZz2J4eDiD9yJx091vv9+Pr33ta1i+fDkKCgpQX1+PT3/602hra4v5Hka838DM/8+jfe5zn4MkSfjJT34S83Gj3HcGNUl48skncccdd+Bb3/oW3nvvPaxcuRKXXHIJurq6sn1pmnnttdewbt06vP3229iwYQP8fj8uvvhijIyMqLf50pe+hL/85S/4wx/+gNdeew1tbW342Mc+lsWr1tamTZvw85//HCtWrIj5uFnvd39/P84880zY7XY8++yz2LVrF370ox+hrKxMvc3999+Pn/70p3jkkUfwzjvvoKCgAJdccgk8Hk8Wrzx19913Hx5++GH87Gc/w+7du3Hffffh/vvvx4MPPqjexiz3fWRkBCtXrsRDDz006efjuZ/XXnstPvjgA2zYsAHPPPMMNm7ciJtvvjlTdyEp093v0dFRvPfee7j77rvx3nvv4Y9//CP27t2LK6+8MuZ2RrzfwMz/z4WnnnoKb7/9Nurr6yd8zjD3XaaEnXrqqfK6devUvweDQbm+vl5ev359Fq8qvbq6umQA8muvvSbLsiwPDAzIdrtd/sMf/qDeZvfu3TIA+a233srWZWrG7XbLCxculDds2CCfe+658m233SbLsrnv99e+9jX5rLPOmvLzoVBIrq2tlX/wgx+oHxsYGJCdTqf83//935m4xLT50Ic+JH/mM5+J+djHPvYx+dprr5Vl2bz3HYD81FNPqX+P537u2rVLBiBv2rRJvc2zzz4rS5Ikt7a2ZuzaUzH+fk/m3XfflQHIR48elWXZHPdblqe+78ePH5cbGhrknTt3yrNnz5YfeOAB9XNGuu/M1CTI5/Nhy5YtuPDCC9WPWSwWXHjhhXjrrbeyeGXpNTg4CAAoLy8HAGzZsgV+vz/m32Hx4sWYNWuWKf4d1q1bhw996EMx9w8w9/3+85//jNWrV+Pqq69GdXU1mpub8Ytf/EL9/OHDh9HR0RFz30tKSrBmzRrD3/czzjgDL730Evbt2wcAeP/99/HGG2/gsssuA2Du+x4tnvv51ltvobS0FKtXr1Zvc+GFF8JiseCdd97J+DWny+DgICRJQmlpKQBz3+9QKITrrrsOd955J5YuXTrh80a67zl1oKUWenp6EAwGUVNTE/Pxmpoa7NmzJ0tXlV6hUAi33347zjzzTCxbtgwA0NHRAYfDof7CCzU1Nejo6MjCVWrn97//Pd577z1s2rRpwufMfL8PHTqEhx9+GHfccQf+3//7f9i0aRO++MUvwuFw4Prrr1fv32SPfaPf969//esYGhrC4sWLYbVaEQwGcc899+Daa68FAFPf92jx3M+Ojg5UV1fHfN5ms6G8vNw0/xYejwdf+9rXcM0116iHOpr5ft93332w2Wz44he/OOnnjXTfGdTQjNatW4edO3fijTfeyPalpF1LSwtuu+02bNiwAS6XK9uXk1GhUAirV6/GvffeCwBobm7Gzp078cgjj+D666/P8tWl1//8z//gd7/7HZ544gksXboU27Ztw+233476+nrT33eK5ff78YlPfAKyLOPhhx/O9uWk3ZYtW/Dv//7veO+99yBJUrYvJ2UsPyWosrISVqt1wrRLZ2cnamtrs3RV6XPrrbfimWeewSuvvILGxkb147W1tfD5fBgYGIi5vdH/HbZs2YKuri6cdNJJsNlssNlseO211/DTn/4UNpsNNTU1przfAFBXV4clS5bEfOzEE0/EsWPHAEC9f2Z87N955534+te/jn/8x3/E8uXLcd111+FLX/oS1q9fD8Dc9z1aPPeztrZ2wlBEIBBAX1+f4f8tREBz9OhRbNiwQc3SAOa936+//jq6urowa9Ys9Tnv6NGj+PKXv4w5c+YAMNZ9Z1CTIIfDgZNPPhkvvfSS+rFQKISXXnoJp59+ehavTFuyLOPWW2/FU089hZdffhlz586N+fzJJ58Mu90e8++wd+9eHDt2zND/DhdccAF27NiBbdu2qX9Wr16Na6+9Vv1vM95vADjzzDMnjO3v27cPs2fPBgDMnTsXtbW1Mfd9aGgI77zzjuHv++joKCyW2KdDq9WKUCgEwNz3PVo89/P000/HwMAAtmzZot7m5ZdfRigUwpo1azJ+zVoRAc3+/fvx4osvoqKiIubzZr3f1113HbZv3x7znFdfX48777wTzz//PACD3fdsdyob0e9//3vZ6XTKjz/+uLxr1y755ptvlktLS+WOjo5sX5pmbrnlFrmkpER+9dVX5fb2dvXP6OioepvPfe5z8qxZs+SXX35Z3rx5s3z66afLp59+ehavOj2ip59k2bz3+91335VtNpt8zz33yPv375d/97vfyfn5+fJ//dd/qbf5/ve/L5eWlspPP/20vH37dvkjH/mIPHfuXHlsbCyLV56666+/Xm5oaJCfeeYZ+fDhw/If//hHubKyUv7qV7+q3sYs993tdstbt26Vt27dKgOQf/zjH8tbt25Vp3ziuZ+XXnqp3NzcLL/zzjvyG2+8IS9cuFC+5pprsnWX4jLd/fb5fPKVV14pNzY2ytu2bYt5zvN6ver3MOL9luWZ/5+PN376SZaNc98Z1CTpwQcflGfNmiU7HA751FNPld9+++1sX5KmAEz659e//rV6m7GxMfnzn/+8XFZWJufn58sf/ehH5fb29uxddJqMD2rMfL//8pe/yMuWLZOdTqe8ePFi+dFHH435fCgUku+++265pqZGdjqd8gUXXCDv3bs3S1ernaGhIfm2226TZ82aJbtcLnnevHnyN77xjZgXNLPc91deeWXS3+3rr79eluX47mdvb698zTXXyIWFhXJxcbF84403ym63Owv3Jn7T3e/Dhw9P+Zz3yiuvqN/DiPdblmf+fz7eZEGNUe67JMtRKzOJiIiIDIo9NURERGQKDGqIiIjIFBjUEBERkSkwqCEiIiJTYFBDREREpsCghoiIiEyBQQ0RERGZAoMaIiIiMgUGNUSUdWvXrsXtt9+e9NcfOXIEkiRh27Ztml0TERmPLdsXQET0xz/+EXa7PduXQUQGx6CGiLKuvLw825dARCbA8hMRZV10+WnOnDm499578ZnPfAZFRUWYNWsWHn300Zjbv/vuu2hubobL5cLq1auxdevWCd9z586duOyyy1BYWIiamhpcd9116OnpAQC8+uqrcDgceP3119Xb33///aiurkZnZ2f67igRpRWDGiLSnR/96EdqsPL5z38et9xyC/bu3QsAGB4exoc//GEsWbIEW7Zswbe//W185Stfifn6gYEBnH/++WhubsbmzZvx3HPPobOzE5/4xCcARIKo6667DoODg9i6dSvuvvtu/PKXv0RNTU3G7y8RaYPlJyLSncsvvxyf//znAQBf+9rX8MADD+CVV17BCSecgCeeeAKhUAi/+tWv4HK5sHTpUhw/fhy33HKL+vU/+9nP0NzcjHvvvVf92GOPPYampibs27cPixYtwr/9279hw4YNuPnmm7Fz505cf/31uPLKKzN+X4lIOwxqiEh3VqxYof63JEmora1FV1cXAGD37t1YsWIFXC6XepvTTz895uvff/99vPLKKygsLJzwvQ8ePIhFixbB4XDgd7/7HVasWIHZs2fjgQceSNO9IaJMYVBDRLozfhJKkiSEQqG4v354eBhXXHEF7rvvvgmfq6urU//773//OwCgr68PfX19KCgoSPKKiUgP2FNDRIZy4oknYvv27fB4POrH3n777ZjbnHTSSfjggw8wZ84cLFiwIOaPCFwOHjyIL33pS/jFL36BNWvW4Prrr08ocCIi/WFQQ0SG8k//9E+QJAk33XQTdu3ahb/97W/44Q9/GHObdevWoa+vD9dccw02bdqEgwcP4vnnn8eNN96IYDCIYDCIT33qU7jkkktw44034te//jW2b9+OH/3oR1m6V0SkBQY1RGQohYWF+Mtf/oIdO3agubkZ3/jGNyaUmerr6/Hmm28iGAzi4osvxvLly3H77bejtLQUFosF99xzD44ePYqf//znAJSS1KOPPop//dd/xfvvv5+Nu0VEGpBkWZazfRFEREREqWKmhoiIiEyBQQ0RERGZAoMaIiIiMgUGNURERGQKDGqIiIjIFBjUEBERkSkwqCEiIiJTYFBDREREpsCghoiIiEyBQQ0RERGZAoMaIiIiMoX/D1OuE8PLZYQjAAAAAElFTkSuQmCC", "text/plain": [ "
" ] @@ -379,7 +407,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 29, "metadata": {}, "outputs": [ { @@ -425,7 +453,7 @@ "2 -1.048144" ] }, - "execution_count": null, + "execution_count": 29, "metadata": {}, "output_type": "execute_result" } @@ -437,7 +465,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 30, "metadata": {}, "outputs": [ { @@ -446,7 +474,7 @@ "(5452, [48, 49, 50], [5497, 5498, 5499])" ] }, - "execution_count": null, + "execution_count": 30, "metadata": {}, "output_type": "execute_result" } @@ -461,7 +489,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 31, "metadata": {}, "outputs": [], "source": [ @@ -485,7 +513,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 32, "metadata": {}, "outputs": [ { @@ -544,7 +572,7 @@ " 'start_step': 0})" ] }, - "execution_count": null, + "execution_count": 32, "metadata": {}, "output_type": "execute_result" } @@ -562,7 +590,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 33, "metadata": {}, "outputs": [ { @@ -571,7 +599,7 @@ "(1090, 4362)" ] }, - "execution_count": null, + "execution_count": 33, "metadata": {}, "output_type": "execute_result" } @@ -588,7 +616,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 34, "metadata": {}, "outputs": [], "source": [ @@ -603,7 +631,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 35, "metadata": {}, "outputs": [], "source": [ @@ -622,7 +650,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 36, "metadata": {}, "outputs": [ { @@ -631,7 +659,7 @@ "(48, 1)" ] }, - "execution_count": null, + "execution_count": 36, "metadata": {}, "output_type": "execute_result" } @@ -642,7 +670,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 37, "metadata": {}, "outputs": [ { @@ -651,7 +679,7 @@ "1" ] }, - "execution_count": null, + "execution_count": 37, "metadata": {}, "output_type": "execute_result" } @@ -672,16 +700,16 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 38, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "(array([0.]), array([0.]))" + "(array([0.00318042]), array([0.96157844]))" ] }, - "execution_count": null, + "execution_count": 38, "metadata": {}, "output_type": "execute_result" } @@ -692,13 +720,11 @@ "means = np.zeros((len(trn_data), n_features)) # ((len(trn_data), 4))\n", "stds = np.zeros((len(trn_data), n_features)) # ((len(trn_data), 4))\n", "slice_from = n_features - 1\n", - "\"\"\"\n", "for i, _trn_data in enumerate(trn_data):\n", " means[i] = (np.mean(_trn_data[\"subset\"][:, slice_from:], axis=0)).astype(np.float32)\n", " stds[i] = (np.var(_trn_data[\"subset\"][:, slice_from:], axis=0) ** 0.5).astype(\n", " np.float32\n", " )\n", - "\"\"\"\n", "means = means.mean(0)\n", "stds = stds.mean(0)\n", "\n", @@ -714,7 +740,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 39, "metadata": {}, "outputs": [ { @@ -723,7 +749,7 @@ "(array([0.]), array([1.]))" ] }, - "execution_count": null, + "execution_count": 39, "metadata": {}, "output_type": "execute_result" } @@ -2005,7 +2031,15 @@ "name": "ts_vae-lstm" }, "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", "version": "3.9.18" } }, diff --git a/nbs/02_lstm.ipynb b/nbs/02_lstm.ipynb index 1d04d04..4d2857d 100644 --- a/nbs/02_lstm.ipynb +++ b/nbs/02_lstm.ipynb @@ -11,7 +11,7 @@ }, { "cell_type": "code", - "execution_count": 587, + "execution_count": 18, "metadata": {}, "outputs": [], "source": [ @@ -20,7 +20,7 @@ }, { "cell_type": "code", - "execution_count": 588, + "execution_count": 19, "metadata": {}, "outputs": [], "source": [ @@ -30,7 +30,7 @@ }, { "cell_type": "code", - "execution_count": 589, + "execution_count": 20, "metadata": {}, "outputs": [], "source": [ @@ -51,7 +51,7 @@ }, { "cell_type": "code", - "execution_count": 590, + "execution_count": 21, "metadata": {}, "outputs": [ { @@ -60,7 +60,7 @@ "(4, 'cpu')" ] }, - "execution_count": 590, + "execution_count": 21, "metadata": {}, "output_type": "execute_result" } @@ -97,7 +97,7 @@ }, { "cell_type": "code", - "execution_count": 595, + "execution_count": 22, "metadata": {}, "outputs": [], "source": [ @@ -111,7 +111,7 @@ }, { "cell_type": "code", - "execution_count": 596, + "execution_count": 23, "metadata": {}, "outputs": [ { @@ -157,7 +157,7 @@ "2 -1.048144" ] }, - "execution_count": 596, + "execution_count": 23, "metadata": {}, "output_type": "execute_result" } @@ -170,7 +170,7 @@ }, { "cell_type": "code", - "execution_count": 597, + "execution_count": 24, "metadata": {}, "outputs": [], "source": [ @@ -184,7 +184,7 @@ }, { "cell_type": "code", - "execution_count": 598, + "execution_count": 25, "metadata": {}, "outputs": [], "source": [ @@ -202,7 +202,7 @@ }, { "cell_type": "code", - "execution_count": 599, + "execution_count": 26, "metadata": {}, "outputs": [ { @@ -211,7 +211,7 @@ "'/run/media/data2/ts_vae-lstm/models/vae_100_z24.pth'" ] }, - "execution_count": 599, + "execution_count": 26, "metadata": {}, "output_type": "execute_result" } @@ -230,7 +230,7 @@ }, { "cell_type": "code", - "execution_count": 172, + "execution_count": 27, "metadata": {}, "outputs": [], "source": [ @@ -260,7 +260,7 @@ }, { "cell_type": "code", - "execution_count": 173, + "execution_count": 28, "metadata": {}, "outputs": [ { @@ -269,7 +269,7 @@ "114" ] }, - "execution_count": 173, + "execution_count": 28, "metadata": {}, "output_type": "execute_result" } @@ -288,13 +288,15 @@ }, { "cell_type": "code", - "execution_count": 174, + "execution_count": 29, "metadata": {}, "outputs": [], "source": [ "# | export\n", "@torch.no_grad()\n", - "def get_embeddings(x, n_windows=1, latent_dim=32, seq_len=1, sampler_repeat=200):\n", + "def get_embeddings(\n", + " x, vae_model=None, n_windows=1, latent_dim=32, seq_len=1, sampler_repeat=200\n", + "):\n", " \"\"\"\n", " _summary_\n", "\n", @@ -317,6 +319,7 @@ " _description_\n", " \"\"\"\n", " # actual_shape = x.shape[0]\n", + " assert vae_model, \"VAE model missing\"\n", " vae_model.eval()\n", " x = torch.from_numpy(x.astype(np.float32)).view(\n", " n_windows, -1, seq_len\n", @@ -340,7 +343,7 @@ }, { "cell_type": "code", - "execution_count": 175, + "execution_count": 30, "metadata": {}, "outputs": [ { @@ -349,7 +352,7 @@ "(48, 1)" ] }, - "execution_count": 175, + "execution_count": 30, "metadata": {}, "output_type": "execute_result" } @@ -360,7 +363,7 @@ }, { "cell_type": "code", - "execution_count": 176, + "execution_count": 31, "metadata": {}, "outputs": [ { @@ -369,18 +372,20 @@ "torch.Size([24, 1])" ] }, - "execution_count": 176, + "execution_count": 31, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "get_embeddings(data[0][\"subset\"], latent_dim=24, sampler_repeat=1).shape" + "get_embeddings(\n", + " data[0][\"subset\"], vae_model=vae_model, latent_dim=24, sampler_repeat=1\n", + ").shape" ] }, { "cell_type": "code", - "execution_count": 210, + "execution_count": 32, "metadata": {}, "outputs": [], "source": [ @@ -388,6 +393,7 @@ " {\n", " \"subset\": get_embeddings(\n", " data[i][\"subset\"],\n", + " vae_model=vae_model,\n", " latent_dim=24,\n", " n_windows=1,\n", " seq_len=1,\n", @@ -409,7 +415,7 @@ }, { "cell_type": "code", - "execution_count": 211, + "execution_count": 33, "metadata": {}, "outputs": [ { @@ -418,7 +424,7 @@ "114" ] }, - "execution_count": 211, + "execution_count": 33, "metadata": {}, "output_type": "execute_result" } @@ -429,7 +435,7 @@ }, { "cell_type": "code", - "execution_count": 212, + "execution_count": 34, "metadata": {}, "outputs": [ { @@ -438,7 +444,7 @@ "torch.Size([24, 1])" ] }, - "execution_count": 212, + "execution_count": 34, "metadata": {}, "output_type": "execute_result" } @@ -456,7 +462,7 @@ }, { "cell_type": "code", - "execution_count": 213, + "execution_count": 35, "metadata": {}, "outputs": [ { @@ -465,7 +471,7 @@ "(torch.Size([24, 1]), (48, 1))" ] }, - "execution_count": 213, + "execution_count": 35, "metadata": {}, "output_type": "execute_result" } @@ -479,7 +485,7 @@ }, { "cell_type": "code", - "execution_count": 214, + "execution_count": 36, "metadata": {}, "outputs": [ { @@ -488,7 +494,7 @@ "torch.Size([1, 24, 1])" ] }, - "execution_count": 214, + "execution_count": 36, "metadata": {}, "output_type": "execute_result" } @@ -500,7 +506,7 @@ }, { "cell_type": "code", - "execution_count": 215, + "execution_count": 37, "metadata": {}, "outputs": [ { @@ -509,7 +515,7 @@ "torch.Size([1, 48, 1])" ] }, - "execution_count": 215, + "execution_count": 37, "metadata": {}, "output_type": "execute_result" } @@ -544,7 +550,7 @@ }, { "cell_type": "code", - "execution_count": 216, + "execution_count": 38, "metadata": {}, "outputs": [ { @@ -560,7 +566,7 @@ "22" ] }, - "execution_count": 216, + "execution_count": 38, "metadata": {}, "output_type": "execute_result" } @@ -585,7 +591,7 @@ }, { "cell_type": "code", - "execution_count": 217, + "execution_count": 39, "metadata": {}, "outputs": [ { @@ -601,7 +607,7 @@ "91" ] }, - "execution_count": 217, + "execution_count": 39, "metadata": {}, "output_type": "execute_result" } @@ -631,16 +637,16 @@ }, { "cell_type": "code", - "execution_count": 218, + "execution_count": 40, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "(0.062399868958291936, 0.9604037987006889)" + "(0.0658557007260682, 0.9927613388051043)" ] }, - "execution_count": 218, + "execution_count": 40, "metadata": {}, "output_type": "execute_result" } @@ -665,16 +671,16 @@ }, { "cell_type": "code", - "execution_count": 219, + "execution_count": 41, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "(0.017459377794611184, 0.9338161809877916)" + "(0.10866227288815108, 1.0199923000552438)" ] }, - "execution_count": 219, + "execution_count": 41, "metadata": {}, "output_type": "execute_result" } @@ -699,7 +705,7 @@ }, { "cell_type": "code", - "execution_count": 220, + "execution_count": 42, "metadata": {}, "outputs": [], "source": [ @@ -742,7 +748,7 @@ }, { "cell_type": "code", - "execution_count": 221, + "execution_count": 43, "metadata": {}, "outputs": [], "source": [ @@ -764,7 +770,7 @@ }, { "cell_type": "code", - "execution_count": 222, + "execution_count": 44, "metadata": {}, "outputs": [], "source": [ @@ -775,7 +781,7 @@ }, { "cell_type": "code", - "execution_count": 223, + "execution_count": 45, "metadata": {}, "outputs": [ { @@ -784,7 +790,7 @@ "(torch.Size([23, 1]), torch.Size([23, 1]), device(type='cpu'), False, False)" ] }, - "execution_count": 223, + "execution_count": 45, "metadata": {}, "output_type": "execute_result" } @@ -795,16 +801,16 @@ }, { "cell_type": "code", - "execution_count": 224, + "execution_count": 46, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "(tensor(0.1302), tensor(0.1469))" + "(tensor(0.2006), tensor(0.2119))" ] }, - "execution_count": 224, + "execution_count": 46, "metadata": {}, "output_type": "execute_result" } @@ -826,18 +832,18 @@ }, { "cell_type": "code", - "execution_count": 225, + "execution_count": 47, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "tensor([-0.7804, 0.8250, 1.0887, -0.2493, -0.1671, 0.7274, 0.8392, -1.0637,\n", - " -1.0509, -0.2585, -0.2681, 0.3393, 0.0214, -0.6696, 1.7127, 1.6241,\n", - " -0.2395, 0.7001, -0.7561, 1.0845, -0.0900, 1.1255, -1.4998])" + "tensor([-0.8867, 0.1043, -0.6268, -0.7938, -0.3937, -2.1358, 1.3801, 1.6557,\n", + " 1.2209, 1.1083, 0.8444, 0.2453, -1.5830, -0.0320, 1.7102, 1.3061,\n", + " -0.4923, 0.7550, 1.5762, 0.3177, -1.4427, 1.1391, -0.3619])" ] }, - "execution_count": 225, + "execution_count": 47, "metadata": {}, "output_type": "execute_result" } @@ -848,18 +854,18 @@ }, { "cell_type": "code", - "execution_count": 226, + "execution_count": 48, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "tensor([ 0.8250, 1.0887, -0.2493, -0.1671, 0.7274, 0.8392, -1.0637, -1.0509,\n", - " -0.2585, -0.2681, 0.3393, 0.0214, -0.6696, 1.7127, 1.6241, -0.2395,\n", - " 0.7001, -0.7561, 1.0845, -0.0900, 1.1255, -1.4998, -0.3959])" + "tensor([ 0.1043, -0.6268, -0.7938, -0.3937, -2.1358, 1.3801, 1.6557, 1.2209,\n", + " 1.1083, 0.8444, 0.2453, -1.5830, -0.0320, 1.7102, 1.3061, -0.4923,\n", + " 0.7550, 1.5762, 0.3177, -1.4427, 1.1391, -0.3619, -0.6281])" ] }, - "execution_count": 226, + "execution_count": 48, "metadata": {}, "output_type": "execute_result" } @@ -870,7 +876,7 @@ }, { "cell_type": "code", - "execution_count": 227, + "execution_count": 49, "metadata": {}, "outputs": [], "source": [ @@ -879,7 +885,7 @@ }, { "cell_type": "code", - "execution_count": 228, + "execution_count": 50, "metadata": {}, "outputs": [], "source": [ @@ -901,7 +907,7 @@ }, { "cell_type": "code", - "execution_count": 229, + "execution_count": 51, "metadata": {}, "outputs": [], "source": [ @@ -910,7 +916,7 @@ }, { "cell_type": "code", - "execution_count": 230, + "execution_count": 52, "metadata": {}, "outputs": [ { @@ -919,7 +925,7 @@ "torch.Size([8, 23, 1])" ] }, - "execution_count": 230, + "execution_count": 52, "metadata": {}, "output_type": "execute_result" } @@ -930,7 +936,7 @@ }, { "cell_type": "code", - "execution_count": 528, + "execution_count": 53, "metadata": {}, "outputs": [], "source": [ @@ -1007,16 +1013,16 @@ }, { "cell_type": "code", - "execution_count": 529, + "execution_count": 54, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "(torch.Size([4, 23, 1]), torch.Size([4, 23, 1]))" + "(torch.Size([8, 23, 1]), torch.Size([8, 23, 1]))" ] }, - "execution_count": 529, + "execution_count": 54, "metadata": {}, "output_type": "execute_result" } @@ -1027,16 +1033,16 @@ }, { "cell_type": "code", - "execution_count": 530, + "execution_count": 55, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "torch.Size([4, 23, 1])" + "torch.Size([8, 23, 1])" ] }, - "execution_count": 530, + "execution_count": 55, "metadata": {}, "output_type": "execute_result" } @@ -1054,16 +1060,16 @@ }, { "cell_type": "code", - "execution_count": 531, + "execution_count": 56, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "tensor(-1.6197e-08, grad_fn=)" + "tensor(3.8873e-09, grad_fn=)" ] }, - "execution_count": 531, + "execution_count": 56, "metadata": {}, "output_type": "execute_result" } @@ -1081,7 +1087,7 @@ }, { "cell_type": "code", - "execution_count": 532, + "execution_count": 57, "metadata": {}, "outputs": [], "source": [ @@ -1101,16 +1107,16 @@ }, { "cell_type": "code", - "execution_count": 533, + "execution_count": 58, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "tensor(1.0741, grad_fn=)" + "tensor(1.1664, grad_fn=)" ] }, - "execution_count": 533, + "execution_count": 58, "metadata": {}, "output_type": "execute_result" } @@ -1121,7 +1127,7 @@ }, { "cell_type": "code", - "execution_count": 534, + "execution_count": 59, "metadata": {}, "outputs": [], "source": [ @@ -1142,19 +1148,23 @@ }, { "cell_type": "code", - "execution_count": 535, + "execution_count": 60, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "tensor([[ 0.1348],\n", - " [-0.1299],\n", - " [-0.2675],\n", - " [ 0.2319]])" + "tensor([[-0.1624],\n", + " [-0.2289],\n", + " [-0.3625],\n", + " [ 0.2802],\n", + " [-0.0331],\n", + " [ 0.0802],\n", + " [ 0.0809],\n", + " [-0.0612]])" ] }, - "execution_count": 535, + "execution_count": 60, "metadata": {}, "output_type": "execute_result" } @@ -1165,16 +1175,16 @@ }, { "cell_type": "code", - "execution_count": 536, + "execution_count": 61, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "-0.007666554301977158" + "-0.05084865167737007" ] }, - "execution_count": 536, + "execution_count": 61, "metadata": {}, "output_type": "execute_result" } @@ -1185,19 +1195,23 @@ }, { "cell_type": "code", - "execution_count": 537, + "execution_count": 62, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "tensor([[0.9981],\n", - " [1.1154],\n", - " [1.1840],\n", - " [0.9988]])" + "tensor([[1.2556],\n", + " [1.2146],\n", + " [1.2584],\n", + " [1.0052],\n", + " [1.3797],\n", + " [1.0589],\n", + " [1.0078],\n", + " [1.1512]])" ] }, - "execution_count": 537, + "execution_count": 62, "metadata": {}, "output_type": "execute_result" } @@ -1208,16 +1222,16 @@ }, { "cell_type": "code", - "execution_count": 538, + "execution_count": 63, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "1.0741039514541626" + "1.1664310693740845" ] }, - "execution_count": 538, + "execution_count": 63, "metadata": {}, "output_type": "execute_result" } @@ -1635,18 +1649,19 @@ }, { "cell_type": "code", - "execution_count": 566, + "execution_count": 64, "metadata": {}, "outputs": [ { - "data": { - "text/plain": [ - "'/run/media/data2/ts_vae-lstm/models/lstm_100_val0.81.pth'" - ] - }, - "execution_count": 566, - "metadata": {}, - "output_type": "execute_result" + "ename": "NameError", + "evalue": "name 'num_epochs' is not defined", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[64], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m model_path \u001b[38;5;241m=\u001b[39m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mMODELDIR\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m/lstm_\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mnum_epochs\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m_val\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mval_score\u001b[38;5;132;01m:\u001b[39;00m\u001b[38;5;124m0.2f\u001b[39m\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m.pth\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 2\u001b[0m model_path\n", + "\u001b[0;31mNameError\u001b[0m: name 'num_epochs' is not defined" + ] } ], "source": [ @@ -1747,13 +1762,14 @@ }, { "cell_type": "code", - "execution_count": 570, + "execution_count": 66, "metadata": {}, "outputs": [], "source": [ - "def concat_first_emb(y_emb, first_emb):\n", + "# | export\n", + "def concat_first_emb(y_emb, first_emb, dim=0):\n", " \"\"\"Concat first_emb to y_emb\"\"\"\n", - " return torch.concat([first_emb, y_emb])" + " return torch.concat([first_emb, y_emb], dim=dim)" ] }, { @@ -1973,6 +1989,18 @@ "display_name": "ts_vae-lstm", "language": "python", "name": "ts_vae-lstm" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.18" } }, "nbformat": 4, diff --git a/nbs/03_ad_complete.ipynb b/nbs/03_ad_complete.ipynb index 8ca82d3..85cbdfb 100644 --- a/nbs/03_ad_complete.ipynb +++ b/nbs/03_ad_complete.ipynb @@ -40,7 +40,7 @@ "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", "from datetime import datetime as dt\n", - "from ts_vae_lstm.concepts import get_window\n", + "\n", "from scipy import signal\n", "import os\n", "import math\n", @@ -64,40 +64,15 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 34, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "t\n", - "t_unit\n", - "readings\n", - "idx_anomaly\n", - "idx_split\n", - "training\n", - "test\n", - "train_m\n", - "train_std\n", - "t_train\n", - "t_test\n", - "idx_anomaly_test\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/home/gg/.local/share/virtualenvs/ts_vae-lstm-hz-Oy2CQ/lib/python3.9/site-packages/torch/cuda/__init__.py:107: UserWarning: CUDA initialization: CUDA unknown error - this may be due to an incorrectly set up environment, e.g. changing env variable CUDA_VISIBLE_DEVICES after program start. Setting the available devices to be zero. (Triggered internally at ../c10/cuda/CUDAFunctions.cpp:109.)\n", - " return torch._C._cuda_getDeviceCount() > 0\n" - ] - } - ], + "outputs": [], "source": [ "# | export\n", "from ts_vae_lstm.vae import VAE, Encoder, Decoder, StochasticSampler\n", - "from fastcore.xtras import noop\n", + "from ts_vae_lstm.lstm import get_embeddings, LSTMModel, concat_first_emb\n", + "from ts_vae_lstm.concepts import get_window\n", + "from fastcore.xtras import noop, flatten\n", "from dotenv import load_dotenv" ] }, @@ -242,6 +217,13 @@ "test_m, test_std" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Standardize again although the scale seems correct. In the training set the mean and standard deviations were exactly 1, 0." + ] + }, { "cell_type": "code", "execution_count": 11, @@ -264,51 +246,15 @@ ] }, { - "cell_type": "code", - "execution_count": 12, + "cell_type": "markdown", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(-9.818408712321384e-17, 1.0)" - ] - }, - "execution_count": 12, - "metadata": {}, - "output_type": "execute_result" - } - ], "source": [ - "train_m, train_std = data[\"training\"].mean(), data[\"training\"].std()\n", - "train_m, train_std" + "Make dataframe for visualization" ] }, { "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "array([0.53649793, 0.55448895, 0.4132313 , ..., 1.72615445, 1.62523604,\n", - " 1.58264792])" - ] - }, - "execution_count": 13, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "data_test_norm = (data_test_norm * train_std) + train_m\n", - "data_test_norm" - ] - }, - { - "cell_type": "code", - "execution_count": 14, + "execution_count": 12, "metadata": {}, "outputs": [ { @@ -354,586 +300,497 @@ "2 0.554489" ] }, - "execution_count": 14, + "execution_count": 12, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "df = pd.DataFrame(\n", - " data_test_norm, # data[\"test\"], # - data[\"train_m\"]) / data[\"train_std\"],\n", - " index=data[\"t_test\"],\n", - " columns=[\"value\"],\n", - ")\n", + "# | export\n", + "df = pd.DataFrame(data_test_norm, index=data[\"t_test\"], columns=[\"value\"])\n", "df.head(2)" ] }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "normalize the test data with the means from train" - ] - }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 13, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "(value -4.127634e-17\n", - " dtype: float64,\n", - " value 1.000104\n", - " dtype: float64)" + "" ] }, - "execution_count": 15, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" - } - ], - "source": [ - "df.mean(), df.std()" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [], - "source": [ - "p = 48 # so that one window is one day\n", - "\n", - "data = [\n", - " {\n", - " \"subset\": get_window(\n", - " df.values,\n", - " window_size=p,\n", - " end_step=t,\n", - " indices=list(df.index),\n", - " return_indices=False,\n", - " ),\n", - " \"end_step\": t,\n", - " \"start_step\": t - p,\n", - " }\n", - " for t in range(\n", - " p, len(df), p\n", - " ) # take steps every 48 so that we end up with non-overlapping sequences\n", - "]" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [ + }, { "data": { + "image/png": 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", "text/plain": [ - "VAE(\n", - " (encoder): Encoder(\n", - " (flatten): Flatten(start_dim=1, end_dim=-1)\n", - " (conv1): Conv2d(1, 64, kernel_size=(5, 1), stride=(2, 1))\n", - " (conv2): Conv2d(64, 512, kernel_size=(5, 1), stride=(2, 1))\n", - " (bn1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n", - " (bn2): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n", - " (linear): Linear(in_features=4608, out_features=512, bias=False)\n", - " (linear_mean): Linear(in_features=512, out_features=24, bias=False)\n", - " (linear_var): Linear(in_features=512, out_features=24, bias=False)\n", - " )\n", - " (decoder): Decoder(\n", - " (linear): Linear(in_features=24, out_features=512, bias=False)\n", - " (dconv1): ConvTranspose2d(512, 512, kernel_size=(5, 1), stride=(2, 2))\n", - " (dconv2): ConvTranspose2d(512, 64, kernel_size=(5, 1), stride=(2, 2))\n", - " (bn1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n", - " (bn2): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n", - " (flatten): Flatten(start_dim=1, end_dim=-1)\n", - " (linear_out): Linear(in_features=832, out_features=48, bias=False)\n", - " )\n", - " (latent_sampler): StochasticSampler()\n", - ")" + "
" ] }, - "execution_count": 17, "metadata": {}, - "output_type": "execute_result" + "output_type": "display_data" } ], "source": [ - "vae_model = torch.load(VAE_MODEL, map_location=device)\n", - "vae_model" + "start_step = 0\n", + "p = 48 # for one full day\n", + "n_windows = 3\n", + "sns.lineplot(\n", + " data=df.reset_index().iloc[start_step : 1 + start_step + (p * n_windows)],\n", + " x=\"index\", # possible since we reset_index to add \"index\" column\n", + " y=\"value\",\n", + ")" ] }, { - "cell_type": "code", - "execution_count": 18, + "cell_type": "markdown", "metadata": {}, - "outputs": [], "source": [ - "@torch.no_grad()\n", - "def get_embeddings(x, n_windows=1, latent_dim=32, seq_len=1, sampler_repeat=200):\n", - " \"\"\"\n", - " _summary_\n", + "Goal is to predict for each new entry (ie, every 30 minutes for the NYC taxi dataset).\n", "\n", - " Parameters\n", - " ----------\n", - " x : _type_\n", - " _description_\n", - " n_windows : int, optional\n", - " _description_, by default 1\n", - " latent_dim : int, optional\n", - " _description_, by default 32\n", - " seq_len : int, optional\n", - " _description_, by default 1\n", - " sampler_repeat : int, optional\n", - " Number of times to repeatedly sample from the sampler to ensure we have enough variablity in the embedding, by default 10\n", + "Workflow:\n", + "- $k$ is the number of sub windows\n", + "- Sample one window of $p$ readings \n", + "- Use the encoder to calculate embeddings of this window\n", + "- Pass the first 23 embeddings to predict the next 23\n", + "- Append the first embedding and make it 24 embeddings\n", + "- pass it to Decoder to reconstruct time series.\n", + "- Generate score based on MSE\n", + "- Generate binary indicator for that time $t$\n", + "- Continue to next time step\n", "\n", - " Returns\n", - " -------\n", - " _type_\n", - " _description_\n", - " \"\"\"\n", - " # actual_shape = x.shape[0]\n", - " vae_model.eval()\n", - " x = (\n", - " torch.from_numpy(x.astype(np.float32)).view(n_windows, -1, seq_len).to(device)\n", - " ) # p, seq -> n_windows, p, seq\n", - " embedded_x = torch.zeros(n_windows, latent_dim, seq_len).to(device)\n", - " for idx in range(n_windows):\n", - " batched_x_window = x[idx].unsqueeze(0)\n", - " # print(batched_x_window.shape)\n", - " z_mean, z_log_var = vae_model.encoder(batched_x_window)\n", - " for _ in range(sampler_repeat):\n", - " # explore multiple potential future embeddings by sampling from the latent space multiple times (Monte Carlo sampling).\n", - " embedded_x[idx] += (\n", - " vae_model.latent_sampler(z_mean, z_log_var).permute(1, 0)\n", - " / sampler_repeat\n", - " )\n", "\n", - " # reshape\n", - " embedded_x = embedded_x.reshape(latent_dim * n_windows, -1)\n", - " return embedded_x" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "tensor([[-1.1162],\n", - " [-0.6177],\n", - " [ 0.9496],\n", - " [ 0.0659],\n", - " [-0.3395],\n", - " [ 0.5848],\n", - " [ 0.5230],\n", - " [ 0.3429],\n", - " [ 0.7156],\n", - " [ 0.2479],\n", - " [ 1.3845],\n", - " [-0.2441],\n", - " [-0.0588],\n", - " [ 0.6809],\n", - " [-1.1954],\n", - " [-0.3005],\n", - " [ 0.9971],\n", - " [ 0.3035],\n", - " [-0.7928],\n", - " [-1.4273],\n", - " [ 1.4949],\n", - " [-1.8884],\n", - " [ 0.3921],\n", - " [ 0.1850]])" - ] - }, - "execution_count": 19, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "get_embeddings(data[0][\"subset\"], latent_dim=24, sampler_repeat=1)" + "\n", + "> From the paper: \n", + "At time $t$, the VAE-LSTM model analyses a test sequence $W_t$ that contains $k \\times p$ past readings tracing back from $t$. Our model first uses the encoder from the VAE to estimate the sequence of embeddings $E_t$ in $W_t$. \n", + "Then it feeds the first $k − 1$ embeddings to the LSTM model to predict the next $k − 1$ embeddings. Finally, our model reconstructs the last $k − 1$ windows using the predicted embeddings and the VAE decoder reconstructs the time series." ] }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 14, "metadata": {}, "outputs": [], "source": [ - "data_embeddings = [\n", - " {\n", - " \"subset\": get_embeddings(\n", - " data[i][\"subset\"], latent_dim=24, n_windows=1, seq_len=1, sampler_repeat=1\n", - " ),\n", - " \"end_step\": data[i][\"end_step\"],\n", - " \"start_step\": data[i][\"start_step\"],\n", - " }\n", - " for i in range(len(data))\n", - "]" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We have now the testing embeddings. Can have already one benchmark with VAE reconstruction. But we now pass this to the LSTM model to predict expected embedding for next window." + "vae_model = torch.load(VAE_MODEL, map_location=device)\n", + "lstm_model = torch.load(LSTM_MODEL, map_location=device)" ] }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 15, "metadata": {}, "outputs": [], "source": [ - "from ts_vae_lstm.lstm import LSTMModel" + "p = 48 # so that one window is one day" ] }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 16, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "LSTMModel(\n", - " (lstm_input): LSTM(23, 64, batch_first=True, bidirectional=True)\n", - " (lstm_hidden): LSTM(128, 128, batch_first=True, bidirectional=True)\n", - " (lstm_output): LSTM(256, 23, batch_first=True)\n", - " (ln1): LayerNorm((128,), eps=1e-05, elementwise_affine=True)\n", - " (ln2): LayerNorm((256,), eps=1e-05, elementwise_affine=True)\n", - " (ln3): LayerNorm((23,), eps=1e-05, elementwise_affine=True)\n", - " (dropout): Dropout(p=0.45, inplace=False)\n", - ")" + "12" ] }, - "execution_count": 22, + "execution_count": 16, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "lstm_model = torch.load(LSTM_MODEL, map_location=device)\n", - "lstm_model" + "len(data)" ] }, { - "cell_type": "code", - "execution_count": 23, + "cell_type": "markdown", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "torch.Size([24, 1])" - ] - }, - "execution_count": 23, - "metadata": {}, - "output_type": "execute_result" - } - ], "source": [ - "data_embeddings[0][\"subset\"].shape" + "Loop through the time series to find the anomalies." ] }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 17, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "torch.Size([1, 24, 1])" + "(4820, 1)" ] }, - "execution_count": 24, + "execution_count": 17, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "data_embeddings[0][\"subset\"].unsqueeze(0).shape" + "df.shape" ] }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 18, "metadata": {}, "outputs": [], "source": [ - "@torch.no_grad()\n", - "def predict_next_embeddings(data, device=\"cpu\", batch_size=1, latent_dim=24, seq_len=1):\n", - " lstm_model.eval()\n", - " data = data.view(batch_size, latent_dim, seq_len).to(device)\n", - " data_first = data[:, 0, :].unsqueeze(1)\n", - " data_next = data[:, 1:, :]\n", - " embeddings = lstm_model(data_next)\n", - " embeddings = torch.concat([data_first, embeddings], dim=1)\n", - " return embeddings" + "training_stats = {\n", + " \"lstm\": (0.0658557007260682, 0.9927613388051043),\n", + " \"vae\": (0.00318042, 0.96157844),\n", + "}" ] }, { "cell_type": "code", - "execution_count": 42, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "torch.Size([1, 24, 1])" - ] - }, - "execution_count": 42, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "x_emb.shape" - ] - }, - { - "cell_type": "code", - "execution_count": 43, + "execution_count": 19, "metadata": {}, "outputs": [], "source": [ - "x_emb = data_embeddings[0][\"subset\"].unsqueeze(0)\n", - "next_x_emb = predict_next_embeddings(x_emb, device=device, latent_dim=24, seq_len=1)" - ] - }, - { - "cell_type": "code", - "execution_count": 44, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(48, torch.Size([1, 24, 1]))" - ] - }, - "execution_count": 44, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "p, next_x_emb.shape" + "# | export\n", + "\n", + "\n", + "@torch.no_grad()\n", + "def predict_next_embeddings(emb, lstm_model):\n", + " lstm_model.eval()\n", + " next_emb = lstm_model(emb)\n", + " return next_emb\n", + "\n", + "\n", + "@torch.no_grad()\n", + "def reconstruct_ts(emb, vae_model):\n", + " vae_model.eval()\n", + " ts = vae_model.decoder(emb)\n", + " return ts" ] }, { "cell_type": "code", - "execution_count": 45, + "execution_count": 114, "metadata": {}, "outputs": [], "source": [ - "predicted_embeddings = [\n", - " {\n", - " \"prev_subset\": data_embeddings[i][\"subset\"],\n", - " \"next_subset\": predict_next_embeddings(\n", - " data_embeddings[i][\"subset\"].unsqueeze(0),\n", - " device=device,\n", - " latent_dim=24,\n", - " seq_len=1,\n", - " ),\n", - " # since we predict for the fututure\n", - " \"start_step\": data_embeddings[i][\"start_step\"] + p,\n", - " \"end_step\": data_embeddings[i][\"end_step\"] + p,\n", - " }\n", - " for i in range(len(data_embeddings))\n", - "]" + "# | export\n", + "\n", + "\n", + "@torch.no_grad()\n", + "def AD(\n", + " past_window,\n", + " vae_model,\n", + " lstm_model,\n", + " window_size=48,\n", + " threshold=0.8,\n", + " latent_dim=24,\n", + " reconstruct_with_true=False,\n", + " stats={\"lstm\": (0, 1), \"vae\": (0, 1)},\n", + " normalize=True,\n", + " steps=None,\n", + " # device=\"cpu\",\n", + "):\n", + " steps = np.asanyarray(steps)\n", + " if normalize:\n", + " past_window = (past_window - stats[\"vae\"][0]) / stats[\"vae\"][1]\n", + " remainder = len(past_window) % window_size\n", + " if remainder > 0:\n", + " print(\n", + " f\"past window not a multiple of window_size! Adjusting for {remainder} extra points.\"\n", + " )\n", + " past_window = past_window[remainder:]\n", + " steps = steps[remainder:]\n", + " # start\n", + " n_windows = int(len(past_window) / window_size)\n", + " print(f\"Number of windows from time series: {n_windows}\")\n", + " ad_score = np.zeros(n_windows)\n", + " ad_status = np.zeros((n_windows, window_size))\n", + " ad_window_loc = np.zeros((n_windows, window_size))\n", + " # window = torch.as_tensor(window).to(device=device).unsqueeze(0)\n", + " # print(window.shape)\n", + " emb = get_embeddings(\n", + " past_window, n_windows=n_windows, vae_model=vae_model, latent_dim=latent_dim\n", + " ) # encode 48 steps to 24 embeddings\n", + " n_features = emb.size(-1)\n", + " emb = emb.reshape(1, n_windows, latent_dim, n_features)\n", + " # standardize with training stats\n", + " # print(emb.shape)\n", + " ts = np.zeros((n_windows, window_size))\n", + " past_window = past_window.reshape(ts.shape)\n", + " steps = steps.reshape(ts.shape)\n", + " for widx in range(n_windows):\n", + " emb_idx = emb[:, widx, :, :]\n", + " if normalize:\n", + " emb_idx = (emb_idx - stats[\"lstm\"][0]) / stats[\"lstm\"][1]\n", + " # pass embeddings from 1 to 23, predict 2 to 24\n", + " next_emb = predict_next_embeddings(emb_idx[:, :-1, :], lstm_model=lstm_model)\n", + " # print(next_emb.shape)\n", + " # now can use either the true embeddings for 1-23 and append last prediction of emb\n", + " # or take true embeddings for 1 and prepend to predicted 2-24 emb\n", + " if reconstruct_with_true:\n", + " next_emb = concat_first_emb(\n", + " next_emb[:, -1, :].unsqueeze(0), first_emb=emb_idx[:, :-1, :], dim=1\n", + " )\n", + " else:\n", + " next_emb = concat_first_emb(\n", + " next_emb, first_emb=emb_idx[:, 0, :].unsqueeze(0), dim=1\n", + " )\n", + " next_emb = next_emb[:, :, 0] # last index not need for decoder\n", + " # VAE decoder\n", + " ts_widx = reconstruct_ts(next_emb, vae_model=vae_model)\n", + " ts_widx = ts_widx.squeeze().detach().numpy()\n", + " ts[widx, :] = ts_widx\n", + " # calculate for this window the anomaly score\n", + " ad_score[widx] = np.linalg.norm(past_window[widx] - ts_widx, 2)\n", + " ad_status[widx, :] = ad_score[widx] > threshold # global label for all items\n", + " ad_window_loc[widx, :] = steps[widx, :]\n", + "\n", + " if normalize:\n", + " ts = ts * stats[\"vae\"][1] + stats[\"vae\"][0]\n", + " past_window = past_window * stats[\"vae\"][1] + stats[\"vae\"][0]\n", + "\n", + " return {\n", + " \"reconstructed\": ts,\n", + " \"actual\": past_window,\n", + " \"score\": ad_score,\n", + " \"status\": ad_status,\n", + " \"steps\": steps,\n", + " \"threshold\": threshold,\n", + " }" ] }, { "cell_type": "code", - "execution_count": 46, + "execution_count": 115, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "dict_keys(['prev_subset', 'next_subset', 'start_step', 'end_step'])" + "(4820, 1)" ] }, - "execution_count": 46, + "execution_count": 115, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "predicted_embeddings[0].keys()" + "df.values.shape" ] }, { "cell_type": "code", - "execution_count": 47, - "metadata": {}, - "outputs": [], - "source": [ - "@torch.no_grad()\n", - "def decode_embeddings(data, device=\"cpu\", batch_size=1, latent_dim=24):\n", - " vae_model.eval()\n", - " data = data.view(batch_size, latent_dim).to(device)\n", - " ts = vae_model.decoder.to(device)(data)\n", - " return ts.cpu().squeeze(0).numpy()" - ] - }, - { - "cell_type": "code", - "execution_count": 48, + "execution_count": 210, "metadata": {}, "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "past window not a multiple of window_size! Adjusting for 20 extra points.\n", + "Number of windows from time series: 100\n" + ] + }, { "data": { "text/plain": [ - "(48, 1)" + "{'reconstructed': array([[-0.37095137, -0.71029042, -0.96521639, ..., 1.12072285,\n", + " 0.8734631 , 0.53760717],\n", + " [ 0.14774397, -0.23366639, -0.5530458 , ..., 1.27868252,\n", + " 1.12708304, 0.86494387],\n", + " [ 1.17749256, 1.0457286 , 0.86881661, ..., 1.29616334,\n", + " 1.29405921, 1.26996601],\n", + " ...,\n", + " [-0.51005296, -0.85207209, -1.1032039 , ..., 1.03413444,\n", + " 0.75924857, 0.39863259],\n", + " [-0.37796968, -0.72115898, -0.97798675, ..., 1.10958686,\n", + " 0.86004049, 0.52057116],\n", + " [-0.01572335, -0.39253187, -0.69416234, ..., 1.23456672,\n", + " 1.04633556, 0.75154132]]),\n", + " 'actual': array([[ 0.56685778, 0.2334616 , -0.28420203, ..., 1.66445086,\n", + " 1.6671214 , 1.72250002],\n", + " [ 1.50548329, 1.24545675, 1.01902284, ..., 1.56184579,\n", + " 1.74133438, 1.77998697],\n", + " [ 1.66388864, 1.57786905, 1.3288058 , ..., -0.28265593,\n", + " -0.49137993, -0.69420062],\n", + " ...,\n", + " [-0.68787565, -1.04853948, -1.32248095, ..., 0.90981169,\n", + " 0.79989778, 0.4004408 ],\n", + " [-0.09290684, -0.54956965, -0.88479304, ..., 1.66501308,\n", + " 1.67260304, 1.54216811],\n", + " [ 1.51096493, 1.16323215, 0.88409015, ..., 1.72615445,\n", + " 1.62523604, 1.58264792]]),\n", + " 'score': array([ 3.14830179, 5.74953409, 4.50761679, 2.4898748 , 2.16952293,\n", + " 2.07277075, 2.45619865, 3.38695335, 8.03626843, 6.84410681,\n", + " 3.17776818, 3.09956095, 2.34001055, 2.46321914, 3.10309336,\n", + " 5.84718795, 4.79908616, 3.10175051, 3.37061673, 2.30388446,\n", + " 2.09129415, 2.98879679, 5.57814671, 4.36481737, 3.28469587,\n", + " 1.83031469, 2.78075645, 2.38800037, 3.38908136, 5.78094085,\n", + " 4.99310777, 3.34756248, 3.29602447, 3.21861073, 6.58711713,\n", + " 4.96356226, 5.30398443, 4.35396291, 3.12810142, 2.80191564,\n", + " 2.95742416, 2.66481645, 3.06846338, 5.96325617, 4.82445659,\n", + " 2.5281494 , 2.66530158, 3.09443486, 2.75843561, 3.79199361,\n", + " 5.40301311, 5.93821814, 3.07491229, 2.46060207, 2.41730399,\n", + " 2.89976692, 3.83743675, 5.27286921, 4.48407918, 3.81831407,\n", + " 3.74586189, 5.45980509, 6.40238049, 6.45285303, 5.1864822 ,\n", + " 4.14508924, 4.83992762, 4.05936429, 4.4369826 , 6.5463075 ,\n", + " 4.88743051, 5.0698343 , 4.67425855, 4.3445559 , 3.78854803,\n", + " 2.69373966, 2.13462261, 2.74957477, 6.15709583, 4.83401112,\n", + " 3.95344325, 2.54721579, 2.87063306, 2.28978885, 2.69760448,\n", + " 4.37800217, 4.86816797, 5.72696452, 3.66830056, 2.41493268,\n", + " 2.33238398, 2.48268066, 4.94566315, 5.02561818, 8.73928939,\n", + " 10.93100751, 3.81888611, 2.31739425, 2.57861603, 6.12076609]),\n", + " 'status': array([[0., 0., 0., ..., 0., 0., 0.],\n", + " [0., 0., 0., ..., 0., 0., 0.],\n", + " [0., 0., 0., ..., 0., 0., 0.],\n", + " ...,\n", + " [0., 0., 0., ..., 0., 0., 0.],\n", + " [0., 0., 0., ..., 0., 0., 0.],\n", + " [1., 1., 1., ..., 1., 1., 1.]]),\n", + " 'steps': array([[ 21, 22, 23, ..., 66, 67, 68],\n", + " [ 69, 70, 71, ..., 114, 115, 116],\n", + " [ 117, 118, 119, ..., 162, 163, 164],\n", + " ...,\n", + " [4677, 4678, 4679, ..., 4722, 4723, 4724],\n", + " [4725, 4726, 4727, ..., 4770, 4771, 4772],\n", + " [4773, 4774, 4775, ..., 4818, 4819, 4820]]),\n", + " 'threshold': 6}" ] }, - "execution_count": 48, + "execution_count": 210, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "next_x_ts = decode_embeddings(predicted_embeddings[0][\"next_subset\"])\n", - "next_x_ts.shape" + "threshold = 6\n", + "pred = AD(\n", + " df.values,\n", + " vae_model,\n", + " lstm_model,\n", + " window_size=48,\n", + " steps=df.index,\n", + " stats=training_stats,\n", + " threshold=threshold,\n", + " reconstruct_with_true=False,\n", + ")\n", + "pred" ] }, { - "cell_type": "code", - "execution_count": 49, + "cell_type": "markdown", "metadata": {}, - "outputs": [], "source": [ - "predicted_ts = [\n", - " {\n", - " \"prev_subset\": decode_embeddings(\n", - " predicted_embeddings[i][\"prev_subset\"],\n", - " device=device,\n", - " latent_dim=24,\n", - " ),\n", - " \"next_subset\": decode_embeddings(\n", - " predicted_embeddings[i][\"next_subset\"],\n", - " device=device,\n", - " latent_dim=24,\n", - " ),\n", - " # since we predict for the fututure\n", - " \"start_step\": predicted_embeddings[i][\"start_step\"],\n", - " \"end_step\": predicted_embeddings[i][\"end_step\"],\n", - " }\n", - " for i in range(len(predicted_embeddings))\n", - "]" + "# Visualize the anomalies" ] }, { "cell_type": "code", - "execution_count": 50, + "execution_count": 211, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "(48, 1)" + "array([0., 0., 0., 0., 0., 0., 0., 0., 1., 1., 0., 0., 0., 0., 0., 0., 0.,\n", + " 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n", + " 1., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n", + " 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 1., 1., 0., 0., 0., 0.,\n", + " 0., 1., 0., 0., 0., 0., 0., 0., 0., 0., 1., 0., 0., 0., 0., 0., 0.,\n", + " 0., 0., 0., 0., 0., 0., 0., 0., 0., 1., 1., 0., 0., 0., 1.])" ] }, - "execution_count": 50, + "execution_count": 211, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "data[0][\"subset\"].shape # actual data" + "pred[\"status\"].mean(1)" ] }, { "cell_type": "code", - "execution_count": 51, + "execution_count": 212, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "(48, 1)" + "array([[ 0., 0., 0., ..., 0., 0., 0.],\n", + " [ 0., 0., 0., ..., 0., 0., 0.],\n", + " [ 0., 0., 0., ..., 0., 0., 0.],\n", + " ...,\n", + " [ 0., 0., 0., ..., 0., 0., 0.],\n", + " [ 0., 0., 0., ..., 0., 0., 0.],\n", + " [4773., 4774., 4775., ..., 4818., 4819., 4820.]])" ] }, - "execution_count": 51, + "execution_count": 212, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "predicted_ts[0][\"prev_subset\"].shape # decoded by vae_model.decoder" + "anomaly_windows = pred[\"steps\"] * pred[\"status\"]\n", + "anomaly_windows" ] }, { "cell_type": "code", - "execution_count": 52, + "execution_count": 213, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "(48, 1)" + "[443, 1684, 3027, 3335, 4581]" ] }, - "execution_count": 52, + "execution_count": 213, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "data[1][\"subset\"].shape # actual next subset" + "true_anomalies = list(data[\"idx_anomaly_test\"])\n", + "true_anomalies" ] }, { - "cell_type": "code", - "execution_count": 53, + "cell_type": "markdown", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(48, 1)" - ] - }, - "execution_count": 53, - "metadata": {}, - "output_type": "execute_result" - } - ], "source": [ - "predicted_ts[0][\"next_subset\"].shape # predicted next subset" + "- [ ] Plot has a shift of 21 due to remainder -> todo" ] }, { "cell_type": "code", - "execution_count": 55, + "execution_count": 215, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "Text(0.5, 1.0, 'Number of previous steps: 4800; L2-threshold: 6')" ] }, - "execution_count": 55, + "execution_count": 215, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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", 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"text/plain": [ - "
" + "
" ] }, "metadata": {}, @@ -941,18 +798,28 @@ } ], "source": [ - "idx = 11\n", - "sns.lineplot(\n", - " data[idx][\"subset\"],\n", - " alpha=0.3,\n", - " linestyle=\"--\",\n", - ")\n", - "\n", - "sns.lineplot(\n", - " predicted_ts[idx][\"prev_subset\"].flatten(),\n", - ")\n", - "# mse_val = F.mse_loss(pred_ts_values, pred_ts_values_true)\n", - "# plt.title(f\"MSE = {mse_val:.4f}\")" + "plt.subplots(figsize=(18, 3))\n", + "sns.lineplot(pred[\"actual\"].reshape(-1), alpha=0.5, linestyle=\"--\", label=\"actual data\")\n", + "sns.lineplot(pred[\"reconstructed\"].reshape(-1), label=\"reconstructed data\")\n", + "# sns.lineplot(pred[\"status\"].reshape(-1), label=\"pred anomaly\")\n", + "pred_steps_ = pred[\"steps\"].reshape(-1)\n", + "for idx, val in enumerate(pred[\"status\"].mean(1)):\n", + " if val == 1:\n", + " plt.axvspan(\n", + " pred[\"steps\"][idx][0],\n", + " pred[\"steps\"][idx][-1],\n", + " facecolor=\"red\",\n", + " alpha=0.1,\n", + " )\n", + "for val in true_anomalies:\n", + " plt.vlines(val, -3, 3, linestyles=\"--\", colors=\"red\")\n", + "plt.xticks(rotation=45)\n", + "plt.xlim(-30, df.shape[0] + 30)\n", + "plt.legend(bbox_to_anchor=(1.15, 1.05))\n", + "plt.xticks(ticks=[x for x in pred_steps_ if x % 500 == 0], rotation=0)\n", + "plt.ylabel(\"Taxi rides (normalized)\")\n", + "plt.xlabel(\"time (30 minute step)\")\n", + "plt.title(f\"Number of previous steps: {len(pred_steps_)}; L2-threshold: {threshold}\")" ] }, { @@ -971,21 +838,7 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, + "execution_count": 216, "metadata": {}, "outputs": [], "source": [ diff --git a/nbs/index.ipynb b/nbs/index.ipynb index 4a263fb..1baf24a 100644 --- a/nbs/index.ipynb +++ b/nbs/index.ipynb @@ -11,11 +11,19 @@ "\n", "This is a work in progress.\n", "\n", - "### TODO\n", + "#### TODO\n", "- [ ] Separate training from notebooks\n", - "- [ ] Build complete AD pipeline\n", + "- [x] Build complete AD pipeline\n", + "- [ ] include fine-grained threshold for within window detection.\n", "- [x] use a squared term if the absolute element-wise error falls below delta and a delta-scaled L1 term otherwise (Huber)\n", - "- [x] Use `.project-env` to manage paths" + "- [x] Use dotenv `.env` to manage paths" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Installation" ] }, { @@ -28,24 +36,40 @@ ] }, { + "attachments": { + "image.png": { + "image/png": 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" + } + }, "cell_type": "markdown", "metadata": {}, "source": [ - "### Env variables\n", + "#### Results from NYC Traffic dataset\n", "\n", - "```bash\n", - "BASEDIR='/ts_vae-lstm'\n", - "MODELDIR=${BASEDIR}/models\n", - "VAE_MODEL=${MODELDIR}/.pth\n", - "LSTM_MODEL=${MODELDIR}/.pth\n", - "```" + "At time $t$, past $k$ window(s) of length $p$ are taken. The VAE-LSTM reconstructs the past windows and if the true time series deviates from the reconstructed time series, the $k^{th}$ window is marked as an \"anomalous window\". \n", + "\n", + "VAE-LSTM is trained on a time series without anomalies so any deviation beyond a threshold (L2 norm) is considered an anomaly.\n", + "\n", + "In the figure, red dashed lines are the true labels in the hidden set. Pink window is the region where anomaly was predicted.\n", + "\n", + "![sample_data/image.png](attachment:image.png) " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "### CUDA\n", + "## Misc\n", + "\n", + "### Env variables\n", + "\n", + "```bash\n", + "BASEDIR='/ts_vae-lstm'\n", + "MODELDIR=${BASEDIR}/models\n", + "VAE_MODEL=${MODELDIR}/.pth\n", + "LSTM_MODEL=${MODELDIR}/.pth\n", + "```\n", + "### CUDA setup\n", "\n", "Download the driver and cuda version compiled for the driver.\n", "```bash\n", diff --git a/sample_data/result.png b/sample_data/result.png new file mode 100644 index 0000000..46861aa Binary files /dev/null and b/sample_data/result.png differ diff --git a/ts_vae_lstm/_modidx.py b/ts_vae_lstm/_modidx.py index 1a1dbcf..1f20949 100644 --- a/ts_vae_lstm/_modidx.py +++ b/ts_vae_lstm/_modidx.py @@ -5,7 +5,11 @@ 'doc_host': 'https://thatgeeman.github.io', 'git_url': 'https://github.com/thatgeeman/ts_vae_lstm', 'lib_path': 'ts_vae_lstm'}, - 'syms': { 'ts_vae_lstm.ad_complete': {}, + 'syms': { 'ts_vae_lstm.ad_complete': { 'ts_vae_lstm.ad_complete.AD': ('ad_complete.html#ad', 'ts_vae_lstm/ad_complete.py'), + 'ts_vae_lstm.ad_complete.predict_next_embeddings': ( 'ad_complete.html#predict_next_embeddings', + 'ts_vae_lstm/ad_complete.py'), + 'ts_vae_lstm.ad_complete.reconstruct_ts': ( 'ad_complete.html#reconstruct_ts', + 'ts_vae_lstm/ad_complete.py')}, 'ts_vae_lstm.concepts': {'ts_vae_lstm.concepts.get_window': ('concepts.html#get_window', 'ts_vae_lstm/concepts.py')}, 'ts_vae_lstm.lstm': { 'ts_vae_lstm.lstm.LSTMModel': ('lstm.html#lstmmodel', 'ts_vae_lstm/lstm.py'), 'ts_vae_lstm.lstm.LSTMModel.__init__': ('lstm.html#lstmmodel.__init__', 'ts_vae_lstm/lstm.py'), @@ -15,6 +19,7 @@ 'ts_vae_lstm/lstm.py'), 'ts_vae_lstm.lstm.TSLSTMDataset.__init__': ('lstm.html#tslstmdataset.__init__', 'ts_vae_lstm/lstm.py'), 'ts_vae_lstm.lstm.TSLSTMDataset.__len__': ('lstm.html#tslstmdataset.__len__', 'ts_vae_lstm/lstm.py'), + 'ts_vae_lstm.lstm.concat_first_emb': ('lstm.html#concat_first_emb', 'ts_vae_lstm/lstm.py'), 'ts_vae_lstm.lstm.get_embeddings': ('lstm.html#get_embeddings', 'ts_vae_lstm/lstm.py')}, 'ts_vae_lstm.vae': { 'ts_vae_lstm.vae.Decoder': ('vae.html#decoder', 'ts_vae_lstm/vae.py'), 'ts_vae_lstm.vae.Decoder.__init__': ('vae.html#decoder.__init__', 'ts_vae_lstm/vae.py'), diff --git a/ts_vae_lstm/ad_complete.py b/ts_vae_lstm/ad_complete.py index 291a526..48126f9 100644 --- a/ts_vae_lstm/ad_complete.py +++ b/ts_vae_lstm/ad_complete.py @@ -1,7 +1,7 @@ # AUTOGENERATED! DO NOT EDIT! File to edit: ../nbs/03_ad_complete.ipynb. # %% auto 0 -__all__ = ['BASEDIR', 'MODELDIR', 'VAE_MODEL', 'LSTM_MODEL'] +__all__ = ['BASEDIR', 'MODELDIR', 'VAE_MODEL', 'LSTM_MODEL', 'df', 'predict_next_embeddings', 'reconstruct_ts', 'AD'] # %% ../nbs/03_ad_complete.ipynb 3 import pandas as pd @@ -9,7 +9,7 @@ import matplotlib.pyplot as plt import seaborn as sns from datetime import datetime as dt -from .concepts import get_window + from scipy import signal import os import math @@ -24,7 +24,9 @@ # %% ../nbs/03_ad_complete.ipynb 5 from .vae import VAE, Encoder, Decoder, StochasticSampler -from fastcore.xtras import noop +from .lstm import get_embeddings, LSTMModel, concat_first_emb +from .concepts import get_window +from fastcore.xtras import noop, flatten from dotenv import load_dotenv # %% ../nbs/03_ad_complete.ipynb 6 @@ -36,3 +38,104 @@ LSTM_MODEL = os.getenv("LSTM_MODEL") print(f"LSTM model: {LSTM_MODEL}\nVAE model: {VAE_MODEL}") + +# %% ../nbs/03_ad_complete.ipynb 15 +df = pd.DataFrame(data_test_norm, index=data["t_test"], columns=["value"]) +df.head(2) + +# %% ../nbs/03_ad_complete.ipynb 24 +@torch.no_grad() +def predict_next_embeddings(emb, lstm_model): + lstm_model.eval() + next_emb = lstm_model(emb) + return next_emb + + +@torch.no_grad() +def reconstruct_ts(emb, vae_model): + vae_model.eval() + ts = vae_model.decoder(emb) + return ts + +# %% ../nbs/03_ad_complete.ipynb 25 +@torch.no_grad() +def AD( + past_window, + vae_model, + lstm_model, + window_size=48, + threshold=0.8, + latent_dim=24, + reconstruct_with_true=False, + stats={"lstm": (0, 1), "vae": (0, 1)}, + normalize=True, + steps=None, + # device="cpu", +): + steps = np.asanyarray(steps) + if normalize: + past_window = (past_window - stats["vae"][0]) / stats["vae"][1] + remainder = len(past_window) % window_size + if remainder > 0: + print( + f"past window not a multiple of window_size! Adjusting for {remainder} extra points." + ) + past_window = past_window[remainder:] + steps = steps[remainder:] + # start + n_windows = int(len(past_window) / window_size) + print(f"Number of windows from time series: {n_windows}") + ad_score = np.zeros(n_windows) + ad_status = np.zeros((n_windows, window_size)) + ad_window_loc = np.zeros((n_windows, window_size)) + # window = torch.as_tensor(window).to(device=device).unsqueeze(0) + # print(window.shape) + emb = get_embeddings( + past_window, n_windows=n_windows, vae_model=vae_model, latent_dim=latent_dim + ) # encode 48 steps to 24 embeddings + n_features = emb.size(-1) + emb = emb.reshape(1, n_windows, latent_dim, n_features) + # standardize with training stats + # print(emb.shape) + ts = np.zeros((n_windows, window_size)) + past_window = past_window.reshape(ts.shape) + steps = steps.reshape(ts.shape) + for widx in range(n_windows): + emb_idx = emb[:, widx, :, :] + if normalize: + emb_idx = (emb_idx - stats["lstm"][0]) / stats["lstm"][1] + # pass embeddings from 1 to 23, predict 2 to 24 + next_emb = predict_next_embeddings(emb_idx[:, :-1, :], lstm_model=lstm_model) + # print(next_emb.shape) + # now can use either the true embeddings for 1-23 and append last prediction of emb + # or take true embeddings for 1 and prepend to predicted 2-24 emb + if reconstruct_with_true: + next_emb = concat_first_emb( + next_emb[:, -1, :].unsqueeze(0), first_emb=emb_idx[:, :-1, :], dim=1 + ) + else: + next_emb = concat_first_emb( + next_emb, first_emb=emb_idx[:, 0, :].unsqueeze(0), dim=1 + ) + next_emb = next_emb[:, :, 0] # last index not need for decoder + # VAE decoder + ts_widx = reconstruct_ts(next_emb, vae_model=vae_model) + ts_widx = ts_widx.squeeze().detach().numpy() + ts[widx, :] = ts_widx + # calculate for this window the anomaly score + ad_score[widx] = np.linalg.norm(past_window[widx] - ts_widx, 2) + ad_status[widx, :] = ad_score[widx] > threshold # global label for all items + ad_window_loc[widx, :] = steps[widx, :] + + if normalize: + ts = ts * stats["vae"][1] + stats["vae"][0] + past_window = past_window * stats["vae"][1] + stats["vae"][0] + + return { + "reconstructed": ts, + "actual": past_window, + "score": ad_score, + "status": ad_status, + "steps": steps, + "threshold": threshold, + } diff --git a/ts_vae_lstm/lstm.py b/ts_vae_lstm/lstm.py index fb62f50..01f3c32 100644 --- a/ts_vae_lstm/lstm.py +++ b/ts_vae_lstm/lstm.py @@ -1,7 +1,7 @@ # AUTOGENERATED! DO NOT EDIT! File to edit: ../nbs/02_lstm.ipynb. # %% auto 0 -__all__ = ['BASEDIR', 'MODELDIR', 'VAE_MODEL', 'get_embeddings', 'TSLSTMDataset', 'LSTMModel'] +__all__ = ['BASEDIR', 'MODELDIR', 'VAE_MODEL', 'get_embeddings', 'TSLSTMDataset', 'LSTMModel', 'concat_first_emb'] # %% ../nbs/02_lstm.ipynb 3 from dotenv import load_dotenv @@ -35,7 +35,9 @@ # %% ../nbs/02_lstm.ipynb 16 @torch.no_grad() -def get_embeddings(x, n_windows=1, latent_dim=32, seq_len=1, sampler_repeat=200): +def get_embeddings( + x, vae_model=None, n_windows=1, latent_dim=32, seq_len=1, sampler_repeat=200 +): """ _summary_ @@ -58,6 +60,7 @@ def get_embeddings(x, n_windows=1, latent_dim=32, seq_len=1, sampler_repeat=200) _description_ """ # actual_shape = x.shape[0] + assert vae_model, "VAE model missing" vae_model.eval() x = torch.from_numpy(x.astype(np.float32)).view( n_windows, -1, seq_len @@ -184,3 +187,8 @@ def forward(self, x): # %% ../nbs/02_lstm.ipynb 62 from fastcore.xtras import partial + +# %% ../nbs/02_lstm.ipynb 72 +def concat_first_emb(y_emb, first_emb, dim=0): + """Concat first_emb to y_emb""" + return torch.concat([first_emb, y_emb], dim=dim) diff --git a/ts_vae_lstm/vae.py b/ts_vae_lstm/vae.py index 347a8b1..8ea487a 100644 --- a/ts_vae_lstm/vae.py +++ b/ts_vae_lstm/vae.py @@ -33,17 +33,17 @@ for k in data.keys(): print(k) -# %% ../nbs/01_vae.ipynb 15 +# %% ../nbs/01_vae.ipynb 17 df = pd.DataFrame(data["training"], index=data["t_train"], columns=["value"]) df.head(2) -# %% ../nbs/01_vae.ipynb 20 +# %% ../nbs/01_vae.ipynb 22 p = 48 # past sequences at time t. 48 steps = a day end_steps = [es for es in range(p, len(df), 1)] # step is one since we want overlapping windows for VAE training len(end_steps), end_steps[:3], end_steps[-3:] -# %% ../nbs/01_vae.ipynb 21 +# %% ../nbs/01_vae.ipynb 23 data_windowed = [ { "subset": get_window( @@ -59,7 +59,7 @@ for t in end_steps ] -# %% ../nbs/01_vae.ipynb 24 +# %% ../nbs/01_vae.ipynb 26 split_ratio = 0.2 val_data_idxs = np.random.choice( range(len(data_windowed)), size=int(split_ratio * len(data_windowed)), replace=False @@ -67,38 +67,36 @@ trn_data_idxs = [idx for idx in range(len(data_windowed)) if idx not in val_data_idxs] len(val_data_idxs), len(trn_data_idxs) -# %% ../nbs/01_vae.ipynb 25 +# %% ../nbs/01_vae.ipynb 27 from torch import nn import torch.nn.functional as F import torch from torch.utils.data import Dataset, DataLoader from sklearn.metrics import roc_auc_score, accuracy_score -# %% ../nbs/01_vae.ipynb 26 +# %% ../nbs/01_vae.ipynb 28 val_data = [data_windowed[idx] for idx in val_data_idxs] trn_data = [data_windowed[idx] for idx in trn_data_idxs] -# %% ../nbs/01_vae.ipynb 29 +# %% ../nbs/01_vae.ipynb 31 n_features = trn_data[0]["subset"].shape[1] # - 1 n_features -# %% ../nbs/01_vae.ipynb 31 +# %% ../nbs/01_vae.ipynb 33 means = np.zeros((len(trn_data), n_features)) # ((len(trn_data), 4)) stds = np.zeros((len(trn_data), n_features)) # ((len(trn_data), 4)) slice_from = n_features - 1 -""" for i, _trn_data in enumerate(trn_data): means[i] = (np.mean(_trn_data["subset"][:, slice_from:], axis=0)).astype(np.float32) stds[i] = (np.var(_trn_data["subset"][:, slice_from:], axis=0) ** 0.5).astype( np.float32 ) -""" means = means.mean(0) stds = stds.mean(0) means, stds -# %% ../nbs/01_vae.ipynb 34 +# %% ../nbs/01_vae.ipynb 36 class TSDataset(Dataset): def __init__(self, data, mean, std): self.data = data @@ -115,15 +113,15 @@ def __getitem__(self, idx): def __len__(self): return len(self.data) -# %% ../nbs/01_vae.ipynb 35 +# %% ../nbs/01_vae.ipynb 37 dset_trn = TSDataset(trn_data, mean=means, std=stds) dset_val = TSDataset(val_data, mean=means, std=stds) # use same stats from training data -# %% ../nbs/01_vae.ipynb 38 +# %% ../nbs/01_vae.ipynb 40 batch_size = 8 -# %% ../nbs/01_vae.ipynb 39 +# %% ../nbs/01_vae.ipynb 41 dl_trn = DataLoader( dataset=dset_trn, batch_size=batch_size, @@ -139,7 +137,7 @@ def __len__(self): num_workers=num_workers, ) -# %% ../nbs/01_vae.ipynb 45 +# %% ../nbs/01_vae.ipynb 47 # encoder # l_win to 24, the model would consider each 24-hour period as one sequence. # pad: if your array is [1, 2, 3] and you symmetrically pad it with 1 unit, the result would be [2, 1, 2, 3, 2]. @@ -208,7 +206,7 @@ def init_weights(self): torch.nn.init.xavier_normal_(m.weight) m.bias.data.fill_(0) -# %% ../nbs/01_vae.ipynb 49 +# %% ../nbs/01_vae.ipynb 51 class StochasticSampler(nn.Module): """We basically want to parametrize the sampling from the latent space""" @@ -231,7 +229,7 @@ def forward(self, z_mean, z_log_var): else (z_mean + torch.exp(0.5 * z_log_var) * eps) ) -# %% ../nbs/01_vae.ipynb 55 +# %% ../nbs/01_vae.ipynb 57 # l_win to 24, the model would consider each 24-hour period as one sequence. # pad: if your array is [1, 2, 3] and you symmetrically pad it with 1 unit, the result would be [2, 1, 2, 3, 2]. # xavier_initializer() @@ -318,7 +316,7 @@ def init_weights(self): torch.nn.init.xavier_normal_(m.weight) m.bias.data.fill_(0) -# %% ../nbs/01_vae.ipynb 59 +# %% ../nbs/01_vae.ipynb 61 class VAE(nn.Module): def __init__( self, input_shape, latent_dim=20, act=F.leaky_relu, deterministic=False @@ -346,7 +344,7 @@ def forward(self, x): vae_loss = reconstruction_loss + loss_kl return reconstructed_x, vae_loss -# %% ../nbs/01_vae.ipynb 64 +# %% ../nbs/01_vae.ipynb 66 @torch.no_grad() def evaluate_reconstruction(original_signal, reconstructed_signal): """ @@ -382,11 +380,11 @@ def evaluate_reconstruction(original_signal, reconstructed_signal): "mae": mae, } -# %% ../nbs/01_vae.ipynb 66 +# %% ../nbs/01_vae.ipynb 68 device = "cuda" if torch.cuda.is_available() else "cpu" device -# %% ../nbs/01_vae.ipynb 67 +# %% ../nbs/01_vae.ipynb 69 def validate_epoch(dls, scorer): """For the full dataloader, calculate the running loss and score""" model.eval() @@ -406,5 +404,5 @@ def validate_epoch(dls, scorer): running_score += score return running_loss / len(dls), running_score / len(dls) -# %% ../nbs/01_vae.ipynb 68 +# %% ../nbs/01_vae.ipynb 70 from fastcore.xtras import partial