{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "## AdamW/SGDW benchmarking" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This is to benchmark an implementation of https://arxiv.org/abs/1711.05101" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "PATH = \"/home/as/datasets/fastai.cifar10/cifar10/\"" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "%matplotlib inline\n", "%reload_ext autoreload\n", "%autoreload 2" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# This file contains all the main external libs we'll use\n", "from fastai.imports import *\n", "from fastai.transforms import *\n", "from fastai.conv_learner import *\n", "from fastai.model import *\n", "from fastai.dataset import *\n", "from fastai.sgdr import *\n", "from fastai.plots import *\n", "import matplotlib.pyplot as plt\n", "%matplotlib inline" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Common stuff for all experiments" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "def Get_SGD_Momentum(momentum=0.9):\n", " return lambda *args, **kwargs: optim.SGD(*args, momentum=momentum, **kwargs)\n", "\n", "def Get_Adam():\n", " return lambda *args, **kwargs: optim.Adam(*args, **kwargs)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "import pickle\n", "\n", "def save_list(fname, l):\n", " with open(fname, \"wb\") as fp:\n", " pickle.dump(l, fp)\n", " \n", "def read_list(fname):\n", " with open(fname, \"rb\") as fp:\n", " return pickle.load(fp)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Section 1: Plot loss trends of various scenarios" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### This is a common function which does the training. \n", "\n", "The only thing it asks for is the optimizer, and the initial LR for that optimizer. Hence we are comparing optimizers keeping all things same." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "def experiment(optimizer, PATH, lr=1e-3, find_lr=False, use_wd_sched=False, wds=None, do_unfreeze=False, \n", " norm_wds=False, wds_sched_mult=None):\n", " sz = 32\n", " bs = 120\n", " arch=resnet152\n", " cycle_len=2\n", " cycle_mult=2\n", " num_cycles = 4\n", " lr = lr\n", " \n", " if wds is None:\n", " weight_decay = 0.025 # As used in the paper https://arxiv.org/abs/1711.05101\n", " else:\n", " weight_decay = wds\n", " \n", " tfms = tfms_from_model(arch, sz, aug_tfms=transforms_side_on, max_zoom=1.1)\n", " data = ImageClassifierData.from_paths(PATH, tfms=tfms, bs=bs)\n", " learn = ConvLearner.pretrained(arch, data, precompute=True, xtra_fc=[1024, 512], opt_fn=optimizer)\n", " \n", " if find_lr:\n", " lrf=learn.lr_find()\n", " learn.sched.plot()\n", " return\n", " \n", " learn.fit(lr, 1, wds=weight_decay, use_wd_sched=use_wd_sched, norm_wds=norm_wds, wds_sched_mult=wds_sched_mult)\n", " print('Now with precompute as False')\n", " if do_unfreeze:\n", " learn.unfreeze()\n", " \n", " learn.precompute=False\n", " learn.fit(lr, num_cycles, wds=weight_decay, use_wd_sched=use_wd_sched, cycle_len=cycle_len, \n", " cycle_mult=cycle_mult, norm_wds=norm_wds, wds_sched_mult=wds_sched_mult)\n", " \n", " loss = learn.sched.losses\n", " fig = plt.figure(figsize=(10, 5))\n", " plt.plot(loss)\n", " plt.show()\n", " learn.sched.plot_lr()\n", " \n", " return learn.sched.losses, learn" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "f = lambda x: np.array(x.layer_opt.lrs) / x.init_lrs" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### SGDR/SGDW" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "6a0582a57bbd41f7bdd2e175c997ec12", "version_major": 2, "version_minor": 0 }, "text/html": [ "
Failed to display Jupyter Widget of type HBox
.
\n", " If you're reading this message in the Jupyter Notebook or JupyterLab Notebook, it may mean\n", " that the widgets JavaScript is still loading. If this message persists, it\n", " likely means that the widgets JavaScript library is either not installed or\n", " not enabled. See the Jupyter\n", " Widgets Documentation for setup instructions.\n", "
\n", "\n", " If you're reading this message in another frontend (for example, a static\n", " rendering on GitHub or NBViewer),\n", " it may mean that your frontend doesn't currently support widgets.\n", "
\n" ], "text/plain": [ "HBox(children=(IntProgress(value=0, description='Epoch', max=1), HTML(value='')))" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ " 88%|████████▊ | 367/417 [00:06<00:00, 53.78it/s, loss=6.84]\n", "CPU times: user 12.9 s, sys: 6.71 s, total: 19.6 s \n", "Wall time: 13.8 s\n" ] }, { "data": { "image/png": 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cY/yi2IXuI0sKJmgM7diai4dn8uJ362x8wTQL1n1kzEHce1pfxvRN5++frGDdziK3wzHGUdZ9ZMxBREWE8cCZ/YiOCOPOqUtsgR4T0qz7yJgGSEmI5v4z+jF73S6ufjXbEoMJWcXllYhATKQtx2nMAZ07tD2PnjuQ71bv5O737SZ4E5qKy6toERmOd9Yg/7CkYILWuUPbc8PobkzO2cz0xdvcDseYJldS4U0K/mRJwQS1Px7fnYEdWvLnqYuZNGeD2+EY06RKK6qIsaRgTMNFhofx9EWD6ZGWwF3vLeWL5TvcDsmYJlNW4fHreAJYUjAhoEPrWN68egQ90xK4x+54NiHEWgrGHKKoiDAeOrs/2wpKeewzu+PZhIbSSksKxhyyoR1b8dvhHZk4ax2LNu1xOxxjDltJeZV1HxlzOG4d05M28dH8bXouqraUpwlupRUeYiJCpKUgIh1E5GsRyRWRZSIy/gBlh4lIlYic61Q8pnlIjInkhtHdmLv+J776Mc/tcIw5LKWVVcT4cYoLcLalUAncoqq9gRHA9SLSp3YhEQkH/g586mAsphm5YFgHeqTFc+3r85mxMt/tcIw5ZGWh1FJQ1W2qOt+3XQjkAu3qKPoHYApgf9aZJhETGc47vz+SrqnxXPt6Dmvz97kdkjGHxHv1UQiOKYhIJ2AwMKfW/nbAWcBz/ojDNB8tY6N4+fJhhIcJd723lPJKj9shGdNoJaF4SaqIxONtCdyoqgW1Dv8LuF1VDzijmYiME5FsEcnOz7fuANMw6Ukx3H1Kb35Yu4srJ86jymMDzyZ4qGrotRREJBJvQpikqlPrKJIFvCUi64FzgWdE5MzahVR1gqpmqWpWSkqKkyGbEHPBsEweOLMf363eyas/rHc7HGMarKJK8Sh+n/vIsUm6xTut34tArqo+XlcZVe1co/xEYJqqvu9UTKZ5+u3wTL7K3cGD03NpEx/N6QPbuh2SMQdVWuntQAml7qORwCXAcSKy0Pc4WUSuEZFrHHxfY/6HiPD02CEM7diKG99awNT5m90OyZiD2r9OSHQgthR89xi8DBQCL+AdNP6zqn5W32tU9TugwZOAq+rlDS1rTGPFRUcw8Yph/O6VbG55dxGVVcr5wzq4HZYx9Sot914cERMRmGMKV/oGiU8EUoArgEcci8oYB8RGRfDS5cM4ulsyt01ZzNd2c5sJYIHefbT/L/6TgZdVdRGNaAUYEyhiIsP5z6VZ9ExL4NbJi1lj9zCYALW/+yhQF9nJEZHP8CaFT0UkAbALv01QiokM56mxg1FVLnh+NruLyt0OyZhfKK3wdR8FaFK4CvgzMExVi4FIvF1IxgSlHmkJvHbVcPYUl/PAtOVuh2PML+xvKQTqfQpHAitUdY+I/Ba4G9jrXFjGOK9P20SuG9WVqQu22PiCCTglFYE9pvAsUCwiA4HbgA3Aq45FZYyfXH9cN7qlxnPXe0soLK1wOxxjqgV6S6FSvZPTnwE8oapPAAnOhWWMf0RHhPP3cwawraCUB6fluh2OMdXKAnxMoVBE7sB7M9p033TXkc6FZYz/DO3Yimt+1ZW3szcxbfFWt8MxBgj87qMLgDK89ytsxzsF9qOORWWMn918Qg8GdWjJHVOXsOmnYrfDMYZ9ZZUAxEc7NhtRnRqUFHyJYBKQJCKnAqWqamMKJmREhofx1EWDQeGPby2gosquuDbu2ltSQXREWGC2FETkfGAucB5wPjDHls40oaZD61geOrs/Czbu4bHPVrodjmnmCkoqSGzh/176hrZL7sJ7j0IegIikAF8Ak50KzBg3nDawLd+v3slzM9ZQWFrB387q73ZIppkqKK0gMca/XUfQ8KQQtj8h+OzCT6u2GeNvD57ZjxZR4bz8/XqO753Kcb3S3A7JNEMFJZWutBQa+sX+iYh8KiKXi8jlwHTgY+fCMsY9EeFh3PGb3nRLjeeOqUvYta/M7ZBMM+RtKQRoUlDVW4EJwABgIDBBVW93MjBj3BQVEcYTFw5id3EFV7+aTZHvShBj/KWgpIKkAG4poKpTVPVmVb1JVd9zMihjAkHftkk8eeEgFm7aw/998qPb4ZhmpqC0ksQW/h9TOGBSEJFCESmo41EoIgUHeW0HEflaRHJFZJlvoZ7aZS4WkcW+xyzfNBrGBIwx/TIYOzyT1+dsZNWOQrfDMc2EqnqvPgq07iNVTVDVxDoeCaqaeJBzVwK3qGpvYARwvYj0qVVmHfArVR0APIC3i8qYgHLzCT2JjQrnwek2DYbxj5KKKio9GtADzY2mqttUdb5vuxDIxXsndM0ys1R1t+/pbKC9U/EYc6hax0Ux/vjuzFiZb7OpGr8oKPGOYQVcS6GpiEgnvOs6zzlAsauA/9bz+nEiki0i2fn5+U0foDEHcemRneiSHMf905ZTYLOpGoft/x0LuDGFpiAi8cAU4EbfOs91lRmNNynUeUWTqk5Q1SxVzUpJSXEuWGPqERURxoNn9WPz7mKufT0H76TBxjijoMSXFEKtpSAikXgTwiRVnVpPmQHAC8AZqrrLyXiMORxHdU3mjt/05vvVu5i3fvfBX2DMIdpd7E0KAX1JamOJiAAvArmq+ng9ZTKBqcAlqmqTzZiAd9ERmbSKjeTfX692OxQTwrbvLQEgIynG7+/tZEthJN71F44TkYW+x8kico2IXOMrcw/QBnjGdzzbwXiMOWwtosK5dlRXG3Q2jtq6t5SIMCE5Ptrv7+3YKIaqfgfIQcr8DvidUzEY44TLj+rMW3M3cf+05YzslkxUhE0DZprW9r2lpCXGEBZ2wK9QR9hvszGNFBURxj2n9WHdziJe/n6d2+GYELR1TwltW/q/6wgsKRhzSEb1TOXXvVN58stVbPP1/xrTVLbtLSUjqYUr721JwZhD9JdT+6DA71/LodS3nq4xh0tV2b631JVBZrCkYMwh69gmjicuHMzizXt55L82YZ5pGruKyimv8lhSMCYYndAnjStGdmLirPXMWGl325vDt31vKQDp1n1kTHC6fUwveqTF86d3F/FTUbnb4Zggt3WPd4zKBpqNCVIxkeH864LB7C2u4C8fLHU7HBPkthfsbylYUjAmaPVpm8j1o7sxffE25q77ye1wTBDbuqeUyHAhOc7/N66BJQVjmsy4Y7uQkRTD9W/MZ6UtyGMO0fa9JaQnuXPjGlhSMKbJtIgK59Urj0CAq16Zx55iG18wjbd1bykZie4MMoMlBWOaVPe0BJ67ZCjb95Yy/q2FVHlsim3TONv3lpLh0iAzWFIwpskNyWzFvaf1ZcbKfJ74wib/NQ3n8XhvXHNrkBksKRjjiIuHZ3Le0PY8+dVqcjbY2gumYbbsKaG8ykPnNnGuxWBJwRgHiAj3nd6XjKQY7py6hH1llW6HZILAqjzvBQrd0+Jdi8GSgjEOiYuO4JFzBrA6fx/j31xgS3iag1q1Yx8A3VISXIvByZXXOojI1yKSKyLLRGR8HWVERJ4UkdUislhEhjgVjzFu+FWPFO74TS++/DGPz5bvcDscE+BW5e0jNSGapFj/L8O5n5MthUrgFlXtDYwArheRPrXK/Abo7nuMA551MB5jXHH5UZ3okRbPA9OW22yq5oBW5e1ztesIHEwKqrpNVef7tguBXKBdrWJnAK+q12ygpYhkOBWTMW6ICA/jvtP7snl3CU99tcrtcEwA27CriM7J7g0yg5/GFESkEzAYmFPrUDtgU43nm/ll4jAm6B3VNZlzh7bnmW/WMGv1TrfDMQGoqKySPcUVtGsZ62ocjicFEYkHpgA3qmpB7cN1vOQXo3EiMk5EskUkOz/fpic2wemvp/elc3Ic499eyM59ZW6HYwLM/hX83JoddT9Hk4KIROJNCJNUdWodRTYDHWo8bw9srV1IVSeoapaqZqWkpDgTrDEOi4uO4N9jh7C3pIJb3lmEx+52NjVs2eOdHbVdS/emuABnrz4S4EUgV1Ufr6fYh8ClvquQRgB7VXWbUzEZ47beGYn85dQ+zFiZz3++Xet2OCaA/LyOgrtJIcLBc48ELgGWiMhC3747gUwAVX0O+Bg4GVgNFANXOBiPMQHht8MzmbV6J49+uoLRvVLpkebeNekmcGzZXUJ4mJCa4M6U2fs5lhRU9TvqHjOoWUaB652KwZhAJCL87az+/LB2F7dNXsw7vz+SqAi7j7S527qnhPTEGCLC3f1dsN9EY1zQOi6Kv53Zn4Wb9vDg9OVuh2MCwObdJa4PMoMlBWNcc8qADK4c2ZnXZm8ge72t1tbcrd9VREcXJ8Lbz5KCMS66+cQetE1qwaUvzeXLXJsGo7kqLq8kr7DM9RvXwJKCMa6Kj45g6nVH0S01nmtezyFng7UYmqMNu4oB6NjG3RvXwJKCMa5LS4zhtauGk5oQw22TF1Nk02w3O+t3FgHQybqPjDEASS0ieeSc/qzbWcSVE+fZMp7NzHpfS6GTdR8ZY/Y7pnsKD53VnznrfuKTpdvdDsf40ZIte0hLjCY+2slbxxrGkoIxAeS8rA50SYnjsc9W8FNRudvhGD8oKK3gi9w8xvRNdzsUwJKCMQElPEx48Mx+bNlTwnWTcmy1tmbgs2U7KK/0cNaQ9m6HAlhSMCbgHNU1mTtP7s3stT8xc5VNsx3qFmzcTUJMBAPbJ7kdCmBJwZiAdOERHejQugV3Tl3CLptmO6T9uL2Q3hmJeOcQdZ8lBWMCUHREOP8eO4Sd+8q4btJ8Kqo8bodkHODxKD9uK6B3euBMimhJwZgANaB9Sx4+23s10kvfrXM7HOOAzbtLKCqvondGotuhVLOkYEwAO3tIe0b1TOHpr1ezo6DU7XBME1u0eQ8AvSwpGGMa6u5TeuPxKJe9NJe9xRVuh2Oa0KfLttMmLop+bS0pGGMaqFtqAs9fksXa/CKuemUeJeVVbodkmkBpRRVf/ZjHSf3SXV9DoSYnl+N8SUTyRGRpPceTROQjEVkkIstExFZdM6YeR3dP5l8XDiJn425ufmeh3b8QAj5eso3i8ipOHZDhdij/w8n0NBEYc4Dj1wPLVXUgMAp4TESiHIzHmKB2cv8MbjupF/9dup2Pl9g0GMFMVXn1hw10SYnjyC5t3A7nfziWFFR1JnCgeYAVSBDvxbnxvrI2PaQxB3D1MZ3p3y6Jez9cyp5imwYjGKkqd763hIWb9nDlyM4Bc3/Cfm52ZD0N9Aa2AkuA8apqF2MbcwAR4WE8ck5/dhdXMP6thZRX2n+ZYFJZ5WHSnI28OXcTv/9VFy4enul2SL/gZlI4CVgItAUGAU+LSJ1D8CIyTkSyRSQ7Pz/fnzEaE3D6tk3ib2f2Y8bKfG56e6FNsx0kqjzK1a9mc/f7Sxmc2ZJbT+wZcK0EcDcpXAFMVa/VwDqgV10FVXWCqmapalZKSopfgzQmEF14RCZ3ndyb6Uu2cdvkxewtsUtVA93L36/j6xX53D6mF29ePSKgrjiqyc2oNgLHA4hIGtATWOtiPMYElauP7cL447szZf5mjn9sRvXqXSbwVFR5ePG7dYzo0pprR3UlJjLc7ZDq5eQlqW8CPwA9RWSziFwlIteIyDW+Ig8AR4nIEuBL4HZVtSkhjWmEm07owXvXHUWVx8PlL8+1yfMC1Fc/5rFtbym/O7qL26EclGPL/KjqRQc5vhU40an3N6a5GJzZihcuG8bY/8zmxrcX8uqVRwRkX3Vz9sOaXcREhvGrnoHf/R2YnVrGmEYZ2rEVd/ymF9+u2snb8za5HY6pJWfDbgZ1aElkgI4j1BT4ERpjGuS3IzpyRKfW/HnqEm6fvJjSCpsOIxAUlVWyfFsBWR1bux1Kg1hSMCZERISHMenq4Vw/uivv5GzihjcW2DoMAeDteZuo8igjAuzO5fpYUjAmhESGh3HrSb24//S+fJG7g9smL7Z5klyUV1jKo5+uYFTPFEZ2C46k4NhAszHGPZcc2YndxRU8/vlKjuzahvOzOrgdUrP0wrfrKKus4r7T+gbN4L+1FIwJUTeM7sbwzq2554Ol5GzY7XY4zU5xeSWTZm/g1AFt6ZQc53Y4DWZJwZgQFRYmPD12COmJMfz+tRzyCm3lNn/6eMl2isqr+O2Ijm6H0iiWFIwJYSkJ0Tx/SRb7yio459lZZK8/0MTFpqlUVnl4ZdZ6OrUTM9VSAAAPmUlEQVSJZVinVm6H0yiWFIwJcT3TE5j0u+EAnP/8D3ywcIvLEYUmj0dZtaOQ0ooq7v1wGUu27OXmAJ307kBsoNmYZmBox9b8d/yxXDlxHre+u5iIsDBOCbAVvwKJx6PMXreLiLAwVmwvYMWOQjbvLqF3RiJXHd2Z8koPGUkxrN9VzPqdRazO28fknM2s2FFIeJhQ5VHGHduF0we2dbsqjSbBdrlaVlaWZmdnux2GMUFpb3EFV74yj5wNuzl7cDvuPrUPreNswcP9ftxewPerd/Htqny+WfHzNP1JLSLJSIphxY5C9n9ldkmJY+OuYip9U5f3b5fEaQMz2L63jGN6JDO6Z6obVaiXiOSoatbByllLwZhmJCk2kjeuHs7TX63m2W/WMGfdT7xx9XA6tgmeq2Oc8vyMNfz9kx/xKCTGRHDrST3pnZFAj7QE2rVsgYiwOq+QyTlbaBEZzoJNuxnVI5UT+6aRkRQTMp+htRSMaaYWbdrDZS/PJTEmkqnXHUVyfLTbIbli6Za93D9tOXPX/cQp/TO497Q+pCREB91YwME0tKVgA83GNFMDO7Tk5cuHkVdYylWvZDe79RgKSyt46stVXPbSXNbvLOKG0d144sJBpCbGhFxCaAxrKRjTzH22bDvXTppPlUfplZ7AnSf35tgegT/F86FSVT5ctJW/Tc8lf18ZWR1b8cg5A+iaEu92aI5yvaUgIi+JSJ6ILD1AmVEislBElonIDKdiMcbU78S+6cy4dRT3ndaH8koPl708lwkz14TknEkrdxRy4YTZjH9rIelJMbx33UjeveaokE8IjeFYS0FEjgX2Aa+qar86jrcEZgFjVHWjiKSqat7BzmstBWOcU1pRxS3vLmL64m3cMLobfzqpp9shNZl3szdxx9QlxMdEcNtJvbhgWAfCw5pPN5HrVx+p6kwR6XSAImOBqaq60Vf+oAnBGOOsmMhwnrpwMLGR4fz7m9UMaJ/EiX3T3Q7rsFRUefjHZyv4z8y1HNU1mScvGmyX4R6AmwPNPYBWIvKNiOSIyKUuxmKM8QkLE+47vS890xIY91oOk+ZscDukRiuv9DBr9U5mrsznqleyeX7GWs4Z0p4Jlw61hHAQjg40+1oK0+rpPnoayAKOB1oAPwCnqOrKOsqOA8YBZGZmDt2wIfh+SY0JNqUVVfz+tRy+XZVPRlILTuqbzq0n9aRFVLjboR1QRZWHKyfO49tVOwGIjgjj3tP6MnZ4psuRucv17qMG2AzsVNUioEhEZgIDgV8kBVWdAEwA75iCX6M0ppmKiQznyYsG85+Za1mdt4+XZ63j89zt3HVyH8b0C8wupbfnbeQvHyyjvNLDbWN6Mqh9S7qkxJOeFON2aEHDzaTwAfC0iEQAUcBw4J8uxmOMqSWpRWT1YPP3q3fy4PRc/vDmfN4aN4KhAbTm8JY9JXyZu4N7PljGUV3bMHZ4Jqf0z2jW9xscKievPnoTGAUkAzuAe4FIAFV9zlfmVuAKwAO8oKr/Oth57eojY9yzp7icM/79PcXlVbx8+TD6tUtyOyRyNuzm4hdmU1rhYUhmS94cN4LoiMDu4nJDQ7uP7OY1Y0yjrNheyHnPzaKgtJIxfdNpEx/FNb/qSofWsX6LYfveUp74ciUbdhWzYOMeUhOjufuUPhzZtQ3x0TalW10sKRhjHLO3uIJ/frGSd7I3UeVR4qMjmP7HY/zSd//1j3n85YOl7NxXRo+0BFLio3n47P6kJtq4wYFYUjDGOE5VWZO/j9Of/p5WsVE8fHZ/x6bIqKzy8MbcjdzzwTI6tonlyQsHM7BDS0feKxS5Ps2FMSb0iQjdUhN45cojiIsO5+pXs5m5Mv/gL2ykt+ZuZMTDX3LPB8s4pnsyn910rCUEh1hSMMYctmGdWvPWuCPpnBzH5S/P5c73lpBXUNok534nexN/nrqELinxPH/JUF66fJgNJDvIRmSMMU2idVwUU649iv/75EcmzdnI1PmbGdM3nbzCMrqkxHFCn3S6p8aTkdSwqakrqjy8v2ALt09ZzDHdk3nhsixLBn5gYwrGmCa3YVcRj322kjnrdpEcH82qHfsor/IA3uSRkRRDbFQ4beKiEYFOyXGMPSKTDq1jUVVen7ORRz7Opai8iqO7eRNCTKQlhMNhA83GmICxp7icH7cXsipvH7PX7GJ7QSlb95SgCrHR4Wz6qRiAvm2T2LKnhPzCMo7ulswpAzI4c1C7gJ9aIxhYUjDGBDxVRUTYUVDKU1+tYumWArokxzGiSxvOy2pvdyQ3oWCY+8gY08zt/9JPS4zhwTP7uxyNAbv6yBhjTA2WFIwxxlSzpGCMMaaaJQVjjDHVLCkYY4ypZknBGGNMNUsKxhhjqllSMMYYUy3o7mgWkXxgD7DXtyupxnYysLMJ3qbmOQ+nXH3Ha+9vzHOr7+Gz+h5aubqON2RfQ+rbVHWtL6ZDKRcM9W1oXQG6q+rB109V1aB7ABPq2c5u6vMfTrn6jtfe35jnVl+rbyDVtyH7GlLfpqprc6tvQ+vamLLB2n30UT3bTpz/cMrVd7z2/sY8t/oePqvvoZWr63hD9ll9G/6ejdWY8zWobNB1Hx2IiGRrAyZ8ChVW39DWnOrbnOoKgV3fYG0p1GeC2wH4mdU3tDWn+janukIA1zekWgrGGGMOT6i1FIwxxhwGSwrGGGOqWVIwxhhTrdkkBREZJSLfishzIjLK7XicJiJxIpIjIqe6HYvTRKS37+c6WUSudTsep4nImSLyHxH5QEROdDsep4lIFxF5UUQmux2LU3z/X1/x/VwvdjOWoEgKIvKSiOSJyNJa+8eIyAoRWS0ifz7IaRTYB8QAm52K9XA1UV0BbgfecSbKptMU9VXVXFW9BjgfCMjL/PZrovq+r6pXA5cDFzgY7mFrovquVdWrnI206TWy7mcDk30/19P9HmxNTXUXoZMP4FhgCLC0xr5wYA3QBYgCFgF9gP7AtFqPVCDM97o0YJLbdXK4rr8GLsT7pXGq23Vyur6+15wOzALGul0nf9TX97rHgCFu18mP9Z3sdn0crPsdwCBfmTfcjDuCIKCqM0WkU63dRwCrVXUtgIi8BZyhqg8DB+oy2Q1EOxFnU2iKuorIaCAO7y9biYh8rKoeRwM/RE31s1XVD4EPRWQ68IZzER+eJvr5CvAI8F9Vne9sxIenif/vBpXG1B1v70V7YCEu9+AERVKoRztgU43nm4Hh9RUWkbOBk4CWwNPOhtbkGlVXVb0LQEQuB3YGakI4gMb+bEfhbX5HAx87GpkzGlVf4A94W4NJItJNVZ9zMjgHNPbn2wb4GzBYRO7wJY9gVV/dnwSeFpFTcGbqjwYL5qQgdeyr9048VZ0KTHUuHEc1qq7VBVQnNn0oftHYn+03wDdOBeMHja3vk3i/RIJVY+u7C7jGuXD8qs66q2oRcIW/g6lLUAw012Mz0KHG8/bAVpdicVpzqitYfa2+oSvg6x7MSWEe0F1EOotIFN6B1Q9djskpzamuYPW1+oaugK97UCQFEXkT+AHoKSKbReQqVa0EbgA+BXKBd1R1mZtxNoXmVFew+lp9Q6u+NQVr3W1CPGOMMdWCoqVgjDHGPywpGGOMqWZJwRhjTDVLCsYYY6pZUjDGGFPNkoIxxphqlhSM40Rknx/e4/QGTinelO85SkSOOoTXDRaRF3zbl4tIQMzFJSKdak/zXEeZFBH5xF8xGf+zpGCChoiE13dMVT9U1UcceM8DzQ82Cmh0UgDuBJ46pIBcpqr5wDYRGel2LMYZlhSMX4nIrSIyT0QWi8hfa+x/X7wrxS0TkXE19u8TkftFZA5wpIisF5G/ish8EVkiIr185ar/4haRiSLypIjMEpG1InKub3+YiDzje49pIvLx/mO1YvxGRB4SkRnAeBE5TUTmiMgCEflCRNJ8UyJfA9wkIgtF5BjfX9FTfPWbV9cXp4gkAANUdVEdxzqKyJe+z+ZLEcn07e8qIrN957y/rpaXeFfumi4ii0RkqYhc4Ns/zPc5LBKRuSKS4GsRfOv7DOfX1doRkXARebTGz+r3NQ6/D7i6OphxkNsLUdgj9B/APt+/JwIT8M4UGYZ3EZVjfcda+/5tASwF2vieK3B+jXOtB/7g274OeMG3fTnwtG97IvCu7z364J2/HuBcvFNrhwHpeNfWOLeOeL8BnqnxvBU/3/3/O+Ax3/Z9wJ9qlHsDONq3nQnk1nHu0cCUGs9rxv0RcJlv+0rgfd/2NOAi3/Y1+z/PWuc9B/hPjedJeBdxWQsM8+1LxDszciwQ49vXHcj2bXfCtyAMMA6427cdDWQDnX3P2wFL3P69soczj2CeOtsEnxN9jwW+5/F4v5RmAn8UkbN8+zv49u8CqoAptc6zfwr0HLzrKNTlffWuI7FcRNJ8+44G3vXt3y4iXx8g1rdrbLcH3haRDLxftOvqec2vgT4i1bMjJ4pIgqoW1iiTAeTX8/oja9TnNeD/auw/07f9BvCPOl67BPiHiPwdmKaq34pIf2Cbqs4DUNUC8LYq8M7dPwjv59ujjvOdCAyo0ZJKwvszWQfkAW3rqYMJcpYUjD8J8LCqPv8/O72L5PwaOFJVi0XkG7xraQOUqmpVrfOU+f6tov7f4bIa21Lr34YoqrH9FPC4qn7oi/W+el4ThrcOJQc4bwk/1+1gGjwxmaquFJGhwMnAwyLyGd5unrrOcROwAxjoi7m0jjKCt0X2aR3HYvDWw4QgG1Mw/vQpcKWIxAOISDsRScX7V+huX0LoBYxw6P2/A87xjS2k4R0obogkYItv+7Ia+wuBhBrPP8M7AyYAvr/Ea8sFutXzPrPwTqUM3j7773zbs/F2D1Hj+P8QkbZAsaq+jrclMQT4EWgrIsN8ZRJ8A+dJeFsQHuASvOsG1/YpcK2IRPpe28PXwgBvy+KAVymZ4GVJwfiNqn6Gt/vjBxFZAkzG+6X6CRAhIouBB/B+CTphCt5FTpYCzwNzgL0NeN19wLsi8i2ws8b+j4Cz9g80A38EsnwDs8upY7UwVf0R7zKaCbWP+V5/he9zuAQY79t/I3CziMzF2/1UV8z9gbkishC4C3hQVcuBC4CnRGQR8Dnev/KfAS4Tkdl4v+CL6jjfC8ByYL7vMtXn+blVNhqYXsdrTAiwqbNNsyIi8aq6T7zr/s4FRqrqdj/HcBNQqKovNLB8LFCiqioiF+IddD7D0SAPHM9M4AxV3e1WDMY5NqZgmptpItIS74DxA/5OCD7PAuc1ovxQvAPDAuzBe2WSK0QkBe/4iiWEEGUtBWOMMdVsTMEYY0w1SwrGGGOqWVIwxhhTzZKCMcaYapYUjDHGVLOkYIwxptr/A3CQ/PG8sK8QAAAAAElFTkSuQmCC\n", "text/plain": [ "Failed to display Jupyter Widget of type HBox
.
\n", " If you're reading this message in the Jupyter Notebook or JupyterLab Notebook, it may mean\n", " that the widgets JavaScript is still loading. If this message persists, it\n", " likely means that the widgets JavaScript library is either not installed or\n", " not enabled. See the Jupyter\n", " Widgets Documentation for setup instructions.\n", "
\n", "\n", " If you're reading this message in another frontend (for example, a static\n", " rendering on GitHub or NBViewer),\n", " it may mean that your frontend doesn't currently support widgets.\n", "
\n" ], "text/plain": [ "HBox(children=(IntProgress(value=0, description='Epoch', max=1), HTML(value='')))" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "[ 0. 1.10252 1.04199 0.65605] \n", "\n", "Now with precompute as False\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "391731469b724c77bd196a3f694806cc", "version_major": 2, "version_minor": 0 }, "text/html": [ "Failed to display Jupyter Widget of type HBox
.
\n", " If you're reading this message in the Jupyter Notebook or JupyterLab Notebook, it may mean\n", " that the widgets JavaScript is still loading. If this message persists, it\n", " likely means that the widgets JavaScript library is either not installed or\n", " not enabled. See the Jupyter\n", " Widgets Documentation for setup instructions.\n", "
\n", "\n", " If you're reading this message in another frontend (for example, a static\n", " rendering on GitHub or NBViewer),\n", " it may mean that your frontend doesn't currently support widgets.\n", "
\n" ], "text/plain": [ "HBox(children=(IntProgress(value=0, description='Epoch', max=30), HTML(value='')))" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "[ 0. 1.1364 1.02446 0.65794] \n", "[ 1. 1.08206 0.97455 0.6751 ] \n", "[ 2. 1.15686 1.07465 0.63869] \n", "[ 3. 1.15261 1.0353 0.65099] \n", "[ 4. 1.10498 0.98328 0.67708] \n", "[ 5. 1.06011 0.95787 0.68948] \n", "[ 6. 1.19456 1.09135 0.63075] \n", "[ 7. 1.19494 1.08135 0.63065] \n", "[ 8. 1.19586 1.06903 0.64256] \n", "[ 9. 1.16876 1.06267 0.65228] \n", "[ 10. 1.13828 1.02387 0.65903] \n", "[ 11. 1.11264 0.99049 0.67401] \n", "[ 12. 1.07651 0.97051 0.68056] \n", "[ 13. 1.06247 0.96359 0.68204] \n", "[ 14. 1.22855 1.07522 0.63919] \n", "[ 15. 1.21781 1.11106 0.63383] \n", "[ 16. 1.20853 1.08698 0.63849] \n", "[ 17. 1.22872 1.08815 0.6373 ] \n", "[ 18. 1.23351 1.10872 0.62689] \n", "[ 19. 1.19806 1.07182 0.64554] \n", "[ 20. 1.21998 1.06709 0.64554] \n", "[ 21. 1.18835 1.05453 0.64841] \n", "[ 22. 1.17914 1.04329 0.64752] \n", "[ 23. 1.17402 1.05659 0.64583] \n", "[ 24. 1.15148 1.02461 0.66141] \n", "[ 25. 1.15086 1.00453 0.66806] \n", "[ 26. 1.12338 0.9989 0.67123] \n", "[ 27. 1.11844 0.9805 0.67897] \n", "[ 28. 1.09065 0.97452 0.67867] \n", "[ 29. 1.08323 0.97258 0.68135] \n", "\n" ] }, { "data": { "image/png": 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tlem56eXZKamqa4LbK6QbDFpez1Dp/+gPQTeUJwirIWOMIIikRPSMfXrzWShonuEzNPRQVi0qMcrHOr9va7TIcujud9htyMl0YHBHv+TGtJGdAl4zEFohTj3ps2O1xj0lASA7Q/D2OTQu1DLLvGes9Fit4TF1jS4MeWI+/jZvG15cpDYM9WhwutHjwe9kY4H6eBohVpySeCwRS8gY0yCcLzZBEPGB6Bkzk88FAG9fPzLgfkcY+V0v/2GYT3biOkm4slW2eQOnY748lPfwhX1Vx5SbUKxXcq2k+ECUkhBbDUlJCyByq+RQ1WnDY8RWTXM3HsGhk/rHK40krWblS3cFVzAAAJWKsHSTTg4dQUQDMsYkiPfsC59fGtuJECFz4EQ9Thg0MiZSAzGUZVcYEfdN6o32GjlKfdvmBryew4RshFKgVWRS/za+bWm7tdFeeQwj3rpuBJbcMw4DJU3HczLVXrgOLfVDqXpcNKidb1v5u5ISTBpHt8LmhseIHQCMWh7VKLTStGYhGlL3frYBv39tpeF7bzx4EiOeWoCXf/YXCITSxokgrIKMMQ2UX34iMWhwujHmn4sw9Al1jz8i9XB7H9BKA+Pmc7th2czzVMc3S7djzk1n4o0/DlftK2ieLgtTdi8yNjZEeraWH7v9qF8qY1S3VoZGICD8DIyxgMYSAPzP2K74o4HMRkWN3PiRVoXq2Vt6IVqx+EFkpPda5/YqDDgHQKjwNMMXa+Vaa9e9tVp3fp+UHMTyPerqTiXi32DWd9t9Y41OMsaI2EHGGJE01DSQEU34EXPIjQwYKaO6tUJhjjq3bHzv1jLPUDD6YP/67SDZ6z0V8nyqeyf1AiAk+OshqtwbhVzT7Dac16d1wGN2lRvnc0kZ2SUfO58SugzsfHIyZl/p/3l6KAzNS4YIXjY9QVkpgTxRnfKzcM8Fwu+lb7s82b6dGvMvys00fD8jQumpSRBWQcaYBKqlTGyCeOYSKUBppfDQ1jPGltwzDl/fMlo1fvSUOmw2tLO8z6VHJ9mbawjjKFsUFXvbNE0bKRh05/YqQtmsqfjT2XIV/+lju/q2+7QRvGdmjByt5Hspr/1SqhqThioDkZ5mQ1GO3/A5t6e8RZIYOm0yUU2pJcorMuuyARjQXjDCdlX4PYnfb5Z3NejQUgg36/09goHClEQsIWOMSBo+XatuHRMM1Q1O3PXJBl9iMZHYfLBqPwB9b1KnVlkY1FHdTLx3G3XY8MoR8qpHPZtIKm3Wq3UOAEDRu9sXCuxSIO+dmdfMgda5fq9cc0kD8wxRMNZE3tYRDWNSyuIdldjsrRwd00PIWZtxjmD4ZTkCN00HIKtKVRq6Uwe0RbrdZspoDJQwn2a3+YoRHvxyMwCh6nHG+/J+n2L1qkth/H28Zj/qm/Q95Vq/RfKMEbGEjDEiaZDmf+w4qt3CRsmeylrs9q68X19Sis/XHcTby8oiMT0iRphJvJfStoXf8zO8c0vkSyoexb6Lep6YRy4SKhzf/dNITS8ZAOR6vUfN0tWGj1Tlvn97v1Hoy9ky4QEyE5YtO16HTIfNl6/Wt20ubhvfA89eOUh1rFJgtbjAXySgtA3tNoY0O4MzgJeJc47imXPx1NxtsvGJff3hVYedwSa5+I3vrMFN75SornXQW7U57bWVWLvP3zvzvs834fFvturOQQtahBGxhIwxKST6mjT8sEUIZ3yz4TDu/2KT7nHjn/kZE55dAgAQnznhhDs557j1w3UBS/WJ6HDViI5ok5upKWAaCGlY8bObz8K6h8/3va73Sj7oPbgv6NcGZbOmYmzPQnTKFzxf2Qqja/o5XfHglD6YppF3dsf5PX3bfdrm+uQkxGbmGw4G1kIDzDULb56RhganB3sq6wAIlZJ3nt/TV415xXC/UViyr0p2bkaaul1Sl4JsX+GAw8AzJgrC7j9RLxtff+Ckb9tht8lM2QXbKjTbLg3s4PdsXv7SCtm+QB0VbBr3+t+/tkr3eIKINKbuUoyxNxljFYyxzTr7r2aMbfT+W84YGyTZN4kxtoMxtpsxNlMy3oUxtooxtosx9jFjzLzgDkGY5H/n/Io5q/erxneW1+Dhr+QfZ1EKIZxODD9uLce3G49g9KyfQr4GYQ1NLg8caaH9LT+/eRQW3DlWNb7SaxCs3ntCtU/J7CsH4flpQ3wK/yIZaXbcNLarppHosNsw09sjs0WzdLx27XCM6trKp/8lInrotOicn627T+S6t9YAABZsK9fc//gl/WXitEac07MQf72kPwDhZwiUM6YXnpQawVsPVwfUNRvUIQ9ls6Zi6oA2uscEMgitVPAnCCswu2R8G8CkAPv3AjiHcz4QwBMAXgUAxpgdwIsAJgPoC2AaY0xUKvwHgNmc8x4AqgDcEPTsCUKHZ+fvlL2WCkcu3XUME2cvwXsr/X0B9x+vxxtL9wIIz0F63KTSORF5mtweVfK8WYZ1zkf3ohzV+EfTz8TADnmYc9OZhtfIyXTgYpOJ8VJmnNMNZbOmolm6HeN6F2HO9DNhUxgm8zYd0T1/QIc8PDBFu+m5WTIddjx/1RAAwO+GaTcI18Pl8eD7zfrza9IJYUo7Cgzt3BIDOuRpHgf4PYTn9irSPeaXAEKwenMgiFhh6k7FOV8CQHcpyDlfzjkXfdkrAYjf3pEAdnPOSznnTQA+AnAJE1wP5wH4zHvcOwAuDWH+lkJByuRl/4l6TH3+FxyvbcT2o+o+fWP/tciSG3Sji5KA4wWn22PYwihYWmSl47+3ni1rEh4Lyo7XB9w/fazac3ZBP7XkxTk99fXAOrXKwmczRuGJS/vrHiNKbkgNqZP1TlTVO7G7QltCQ+97JubbAYKumxnhWK1woxnIGCPijUjkjN0AQGwc1h7AAcm+g96xVgBOcs5dinEVjLHpjLESxlhJZWVlBKbrhxzXycXeY3W+7Ue+3oIth6sx7MkFAUvqAX0VdTM0kHBk3OB085A9Y/HOpYONPW6f33yW7PWzVwxWHZNu0OJpeHG+puHZx5v4P7GvECb8rYb3TC9MqDSERCPxzK6tkNdMKG4QQ7ha1w2GWh0B7zrJ+Pe3j/Ftmwk/E0QksPROxRgbB8EYu08c0jiMBxhXD3L+Kud8OOd8eGGhsaozQYiMe3qxb/tAVWBPglUoH0DL9xzDaUmfv33H63DqNFVtRQOn2xN0JWW88/TvhHTcuyb2Mjx2WOeWstfZGerqTa22UGb44MYzsPL+8ehe1Bxls6aiR2t1SHfL4WoUz5yL8uoG7CyvwX6vN6/JLfceP3fVEJTNmopMhx1L7hmHD248wyfrceHAtgHnYeT5fF+SiiDlGW8aw3VnFcuqZa98dYXm8QQRaSwzxhhjAwG8DuASzrlY9nIQgLRkqAOAwwCOAWjBGEtTjMcWSupMWkor/V6yjDAaPuux+dAp/P27bdh40F8RVnasDr9/bRUe/NJfzXnOvxbjNy8us/z9CTUn6pqSzjP222EdUDZrqqooINDxUsTiAJEpAwIbO3rkZ6ejTV5g1ftHvhYKZN5dUYaJs5dg7L8WAVB7j6V/o7wsh6xfp5HnLi9L3Z9TilLLTcljF/dDht3v+aNHABErLLlTMcY6AfgCwDWcc2nm9BoAPbyVk+kArgLwXy5kUy8C8FvvcX8E8LUVcwkH+h4mLuv2VxkfBEHk8rRBKNHIm+Jye1TNyC/7z3K88nMpFmyrACDk4pz0esC++PWQ7NhSSfiUiAzL9xzDlsPVWJXiYSfRkyZyg0LlP5JqPqIMyIuL9sjGldWUgXTRPDpf1ZeuHmpqDg99pSkAIMMnqEsQMcSstMUcACsA9GKMHWSM3cAYm8EYm+E95BEIeWD/YYytZ4yVAIA3J+xWAD8A2AbgE875Fu859wG4kzG223vuG5b9VCFCq6LERdnvT4/Syjq0axF4RV9SVoWXf96DLYdPweX24L7PNuK9FWUonjkXLrcHD365GUOfmC/LfVE+YI6ealDlpinFM4nIsbbMnHGeaijlImIRxA0meb62UR7Sz063Y+/fp2CySY9eZQCtMRGrizwIIhSMe18A4JxPM9h/I4AbdfbNAzBPY7wUQrUlQYTNPZ9tNHXcoZOnsclAOPP7LUfx/ZajmPUd8NUto/FxyQF87BX/fnHRHvx3gxBRd7o9umGUHeU1aFS0V1m4vcLUHInwIf1mP/dN6o1+7YSEe6WGnlEYLxS++PNZuOw/yzX3NbrcMmPMqBBBmefmSLOFpQMoIjXAlLIhBBELaEkggZNrLCEJ9u+2fI9ayVuPvcfkHrf9J+rR4JWvUPbDUzJfIaj5XQBtKMJa7MqGkCnMzed2w1gdCYtWkj6TVqEUqJXicnOfMXbZ0PZ4PIBsBgCc3b0AD07pg9xMwSgLJAQLAD/eoRbq1aJDy2aYKJH6uO6sYlPnEUSkoDuWBDLFEhOnxCiy25hhhVgwf2enS3709qPVvnD2XZ9uCHjuF+uEXDGxXL/RRPNkwhqMEr+JyBHod+9yc19If/rYrr4+nXowxnDT2K5okSVUPB4zEFXu2ToHd0/siZf/MCzgcU0R0KAjiHCgTyOR8EjlJLIcdkNtomByt5QNobcc9gvG6rWSERGrxMTS+V3l5pqXE+Hz4SptSQMi8gQycpwej88zFowxpOxjGYhbz+uBSf312yQBQt6a1GjU8q4fOnkaxTPn4rq3Vhu+J+cceyprMen/lmDxDkpHIIKHjDEJFKVMTKQ5KNPHdsVfxvfQVBsX2RGEUeQKI+n+WK2QPCymuOwsN1dkQITPnkqqWDXi+tHFEbluIM9Yg9OfM5ZhcRcDMZRpBmW+5++Gy5u2V9U1+frLLt5hLDb+5rIyjH/mZ2w/WuPr+0kQwUDGmASyxRITqWfsf8f3gM3GkGZRzlB9k7aCtxQjEVc7ZZMTcch9k8LrX6lHIG23Oz/Z4AvXWxUmFFs6rX5wgmz8mjM7q2Rqquqa8ObSvWh0yfuW9m+fh9sn9BCus/cEftmt39dSiyU7I9sdhkh+yBgjEh6lrAQAzFUky5/VrZXqmB1PTsLZEoFJALhiuDzEaZSjAhj3o2RMbrB1KwxcwVZR04AXftpFBSVERDFKhg+VQDp9q/eewEpvAU0weX3tAgjMvnLNMKx5cIKqbVNzDU/ZPZ9txOPfbkV9kxvvKdT531pWBgC44pUVQRuKVJBJhAsZYxLo4ZeYiGGPcb20K8ba5Gbiw5vOVI1npNnx7BVyUczbJ/REdrr/pv7qklLVec0V5fZGH5ud5bX46zdbfK+NemPe+fEGPP3jTmw0kOAgjPmPSXHQVCSQ2Go4GBlZ4kIpmE4Yr/9xhO6+TIcdhTnqqlCHjcHp5rL7+sl6/+JKqXcmXTAF+7tJo2IAIkzoE0QkPGI1pTTv4+6JPX3bWRmCcTWkUwvVuUW5mXhoah/f63YtmsFh8JBonSu/8es1RJYiVlYCxqKXNd4mxsriAcIc0gKNc3UMdEKtOWYVGWnqXLBMDZX7YLxP3YuaBz0P0UAyWvxoIZ2a0nuuxfytgYt5CMIIMsaIhEc0bqQ5IB1a+nv3/eu3AwEAb12nvbouUGgt2QI8pPKaOWSNv3ccrZFJawBqz5lqvgbGm7iSDzQPQh/p7zcr3XxSNxE5HpzSRzUWjNhqKFIloufN6Psmsvjuc33bq0r9bbRoUUREAzLGJNB3LvFwezguemEpAHmuitQwG9Y5HwB8WkVKlDdbvWfEwA55KMzJkN3c7/h4PVxB6IcVNE9Ho4FnTJwP2WKhsW4ftUIKhHLxEQn6txcU/4u84cORXdQ5m8Hyw+1j8dUto00fL/YlXbrLn4wvrY5Wfs+LJd0IXpGkJxhpoYXieSMIJbRslMCpnjLhaJC0HJKuns1UQYqI99LLhrT3jmhbQT2KcrCy9LgszLj1SLXKMxbIhsp02FHTEHhuYnNk8oyFxu9fXxXrKcQ18/5yNg5WnY7oe4gVxPdc0AsHTtSjRwhhRiW92uQEdfyqUqFQ4LaPfsX2JyYDANYfOOnbrxVO1aJ9y8Ai0loFPE63J2BVKUEooU+LDsE0syVix1qJF0QqZ2HU8qhIkvDrS/D12j56NlCmw4YGp1tlfCnDIG0CVH5Vn3Yaesa2HhGEZbcersZDX22iwhLCUorxvaX0AAAgAElEQVRyMjG0U8uIvoeYAN+lIBt3TuwVk/6Pdd50ggan//smLc7p3CpLdU5WutpAEz1fdY0uLNOQvGh0qr/PlENGBAsZYxKkzzxp1Q0Rvzw5d6tvW2q0tA1gEAHAxYP8DYrF00RPlN5jI83GcLyuSbUSLq9ukL1+/8Yz0Ku19iq+2usVM/P5uvfzjXh/5X488+NOw2MJNX8a3SXWU0hZJvdvCyDwwiTStMlVv7e0SvL2CT1V+5+/aohqzOV1Vd//xSZc/foqHFB0A2jQ8IxR6JIIFjLGJEi/P6e94S/OOYpnzkXxzLkxmhURCKmqvfT2d9nQ9uqD4a+onDzA3y5FzNESQyt64cGy4/Xe4+XjojF398Se2P7EJLTOzcS8v4zRvIbYp7KuSX0DP3CiXubpE3lh0W7NaxGBOVBlvoUOYS03jumCDY9MlBXSRJtbz+sue93k8vgWQ92LmmNiX3WXjj7tclVjomG1q0K414gSGJsPncL6Ayc1PWNkjBHBQsaYBGnOmOjaln6p/r1wV9TnRJhH6tnsXiR4psS+kCKZ3jwRaeiipzcXZWQXIdFfL6JSWdOoOX6iTvByjSjO9wlP6ukUibkzLrcHWw6fwlZJr8sx/1yEy19arv3mhCmkOYT0QIwdjDHkZQVOfI80ygrM5Xv8IcYFd56jGTptptGiyeUWq5vl4xf+eykufXEZ6jTyU79af0g1RhCBIGNMB9E1La2+eWY+hYvimY758kTbX+4dh4V3niMbm3FuNwBAT0kYcWinllj1wHhc7m0wrqe/lCHRSrrngl6+7Qe+3AQA2HRILtJ6vsbK+7w+RQCEBN+pzy/FlOd/CfxDEUFxx8frfdvZBhIjRHKjVOQ30yJNSw9NzD8VbwvK6uupzy9VnWOmnyVBSCFjTIL0OyZuk8ZMfOL2cFnF5LSRnVQhkY75WWip8Iyd07MQZbOmqhS7W2vkl4h8OmMUymZNxa/7/ZVYWom+ys/Ka9cOVx3TpZVQPt/kCu5zVTxzLuZuPGJ8YIrz0/YK3/Yt47rFcCZErLmgn3wxJIo/ByJTo8Ly0Emh8nS/N01hwbYK1TFKlAtDgjCCjDEdxAfrkVMNBkcSseCBLzah7yM/+F53MCg/DwZxAX37hB5Y/8j5GFGcrzrGYbdhRLG8Ik3LoBvfu8i3vfPJyb5y91A8Yrd8uC7oc1INqUGsV0RBxIYxPfxK9s9PUyfKW01Gmh23jOvm0x9s0MjTVBKo6lPMN3veRLrKH0cVm5skQXghY0wHMTo5/pmfYzsRQpOPSw4AAHp7871uGtPVsmsfOCGshLsUZOsKxR6rbcRF3orMSwcL/1/Qr43quL9M6AEA+PLPZyE9zYY0jSbKZtopEeYQZUd6t8mJWLsfIjSkjcnHmGgxZAUOuw1ON4fHw336c7/zpiMY8e3/nh30+4ke8yfnbqP8TyIoyBiTIJVGoPBkYrD9aA2A0NqlGLF8d2CtsreXlwEAvlp/GAA0RR4HdmiBsllTMcSr66TVj++C2UvCnCmhRPxcEPHDzef6qxubaYT5I8H3m48CAJZJkvcvHaJdaS3ywJTe+L8rB6N/+7zg3uv2MVjz4ATfa63KaILQg4wxCfKcMTLGUh1lR4YLB7b1bdsZw+GTfhVzxvQrKKWI5fFSXFT1R6QAYrUy4O8bGWlEo/yaN1b7xox6VU4f203TYOtWmK1xtJ+8Zg5kpdupjRkREmSM6aD3fHxuwS70feR7PEuVlXHDVSM6RuS6V47oJHstLRDgkMtjpJlUGD/tVOet7D9RTzIMREoRyxDytiPVxgcpcHt4wCIfQPB6M8aoDRIREvSpkSB9HHo8HDs0Qh2zF+xEfZPbVBInERmUhkvzCEkYDOwgD1NIjT4P57KQo5myeUCteyYy8/ONmuPtYqhgThCJjijyLMXtDn7h43R7fHpjgHbkxOH19mmlIhCEEfSpkSD9fnk4cPMHa2M3GUIXZTsiR4RCHkpvV3GBP0xhZ0xWHWbWM6al+g0An649KHt9ibcoIE+ngIAIzD8uHxDrKRAafDT9TDz1m/5Rez+thZo7iBSU+yf3BiCENleXnfCN/3fDYdWxWV5ds9pGv+SO1oJepK7RhbpGtWBsXaNLJlBLpAaGTzHG2JuMsQrG2Gad/b0ZYysYY42Msbsl470YY+sl/6oZY7d79z3GGDsk2TfFuh/JGjyc+9rjEPHFrnJ13lUk0AqlrH5gPM7rXYQ/nd0Fz14x2Ddu16iS1MJsw+RnrxiMXx8+HxcN8uepZTps8FA4UxfRY3r96GJViJmID87s2gpXn9E5au83qIPaM/a74ebTGsRCA6dLnmemTM5fNvM8pGl4xP7wxirda/d/7Af0e1SQ53lvRRnOf/Zn7Dteh36P/oDfv7ZKlpNKJD9mXApvA5gUYP8JALcBeFo6yDnfwTkfzDkfDGAYgHoAX0oOmS3u55zPC27akUGasH3166tkydZdDZI3Y81fv9mCi19QK0EnI5e8uEz2+qXFeyy9/te3jMaDU/po7ivKzcSb141AdkYa8rIcvlJ2s2FKswa+3cbQMjsdN5/jFy5tcHpw5yfrA5yV2ogSIUpBXyJ1ueN8dTPw9i3MaxKK+V/KpH+xBZrRNfVyQTnnskjMw19vwa6KWlz4b/89XMtrRiQvhk8QzvkSCAaX3v4KzvkaAM4AlxkPYA/nfF/wU4wegbzXY3sU6u57+ocd+MSrexUr3lpWho0HTxkfSBgyqGML3DTWnG6ZeLM2G6aU8szvBqnGuhZk483r/Mr9Su+cKKNBqNlTKSyeKGeHEDFT4RwInzGm8Ix9a7IbhtPtwdp9VfhglfzRJw1lLpJ0jahp8I+TEzy1iNZd6yoAcxRjtzLGNnrDoC21TgIAxth0xlgJY6yksjJ2/b4COTReWLQb936mnYAdbwx5/Ee8u6Is1tNIGnzGmMkwpbSNUsf8LNX+P5zZGef11s4rIwIj9giMhOYckZqIn6Vz/rU4pPNrGly4/KXlePBLeZZPo8S40+vy8sOWoyG9J5GYRPyuxRhLB3AxgE8lwy8B6AZgMIAjAJ7RO59z/irnfDjnfHhhob53ygoCLUSSIVeHc46qeice+XpLrKdiKQXNY5fkLnrEzHrGGGPY/dRkvH/DGRjZJR9ls6bK9oe5kCegLb5LpC6XGYi8BiLd5CLLDNLCowYNiRslX/16yLL3JuKfaNy1JgNYxzkvFwc45+Wcczfn3APgNQAjozAPYwLEKT9TVLv5T4k/I83j4aqKQ8DfKibZyGvmiNl7H60WVrVl3ibCZkiz23B2D+12MG95Vf2J0PloTWxTBoj4oltRc9/2y38YGtS5dkUu6O3e9mZSbhrTRfZ6gI5yf0OT3xsmdgYA1OLSIqXH6lThTSJ5iYYxNg2KECVjrK3k5W8AaFZqxhN1Ok1mX/9lb5RnEhi3h6PrA/PQ66HvVT0PF2wr1zkrsZg2Ul4Npdc/MhFpmUQ/S6w4VtMY6ykQcYQ0b6xZenCahHM3ynM0s9LtmNCnyPf67etH4MGpfWXH9GuX69uWahVKF8hPzt1m6v2V4U0ieTEjbTEHwAoAvRhjBxljNzDGZjDGZnj3t2GMHQRwJ4CHvMfkevdlATgfwBeKy/6TMbaJMbYRwDgAd1j4M4WMnt+oS0G2rvdl3mZziZzRQlpyLSadPvHtVox/ZjGq6pv0TksoPB6grUQMNZaeMau5a6K6+ktshi4SSLuIAGZfOdj4ICJl+FpS9OL2BG6FpEQpkeL2ADmZ/vtNGw1RZun3dZ/EY97oCu69idTCTDXlNM55W865g3PegXP+Buf8Zc75y979R73juZzzFt7tau++es55K875KcU1r+GcD+CcD+ScX8w5jwuLRi/i+OZ1IzChj5BU/cSl/SXHczhMShrEglV7hUbXbyzdiz2VdXh3eXK4vF0eLlvt5mRGRoE/FmRprNy/umU0xvXy50te8H9LcFSS9Lt2XxVqGgIVM6cW0ep7SCQG0vZHnTSKZgKhlEn5dX+VrFpX63rXjirG+zecAQA4ddr/vdRKHQECV/ETqQPdtSToxe67FGRjaGdBPLCHJP9g1V654sdpnVBmNJHmLit7qe0oFzwqGWk2/HfDYVQmaDinweWWVcxJKxQTkRyJSrjWz5LpsOPeSb1lY9Ve46uuUajW+uObq1XnpSrK8DyR2jw01a8Z2L0oJ8CRapQyKT9uLfcJPBc0z9BcPNlsTDMnVNrLVopSNkMJ9a1NDcgYM8nvR3bC/DvG4syurXxjV726UrbaefzbrbGYmm6lp96Kq9HlwW1zfsWVr6yI4KwiR02DSxYqaOZIbM/YukfO921nOrQNyxZZ8lCs6BcU++Wt238yInNLRJQCnURqU9wqdMFuR5q6mtLh9cobeWCl3mwA+HyddhGY0XPjtInKSyLxIWNMgpbx8uLvheobxhh6tFavqqRflINV5ivqrMQlMcbqJd45l8GKqvRYXcTmFEmqTzuRKwlNTurfJmZzOatbK+ODDHDYbfjyz2fhjC75KG6lHUZpmydX+BbzTzwU4wAgDweNKM6P4UyIeCOc+7LSMzayS76v7ZGRoKyyZdJby8pCmsMmEvNOCcgYk6C0XR6+sC+mDFA/6K8d5e+ttlPSJ/GXXbFp7ip1Y9c1+o2xZA3X1DQ4kSvxjI3sEruHr82i/qVDOrXEx/8zSrMfphZi25Sd5f5k/uoUzhs7csrfx490xggpet5mMzgU3q+2eZm+Rfv+E4GNvOoGdTuj+ibjFkfK1kq7KqhgJxWgu1YALhrYVvPheFWcNSHedMi/cprx/lrftlEuQqJS3eBCbrP4CE3Gupf8bR/96ttO5V52zTPi4/NAxB/hdGRQFmjlZjrC8kbXNrqw1yAi8cSl/WSvB2o0OyeSDzLGJCgT+PXc0LFutzJ7/k6slhQP6K2cnl+4K2ah00hSfdqJnEwHbji7C64+Iz4M49a5sWlOXV7tL8Jo1EkQTgWCVCwgUoiMtNA9Y8p7/czJvcMyxhgYjpw8HfAYpWeXEvhTAzLGpCg+82k6shWxLp1/buEuXCFJvs/XEQpdtfcEzv7HooDXSrTQltvD0ejyIDs9DQ9f2BdP/WZATOcjek5nXT4w6u+t/NvNWbM/6nOIF9zeB+TsK9XN14nUJisjdGPMbmMyhf3sjDRZk28zSPPO5m8tx+7K2gBHq42vOatT93udSpAxFgA9CbFY5qR8uEr9xXz55z2ax153VrHh9W58pyTcKUUVMfQaa++kyFhvCXvHlsHpF1nBHR+tl71+5efSqM8hXhAfYFbl8BHJw5juBbjurGKsvH98SOe3ai73en+xLriekb9KqqUf+HKTYW9gxhjaSGSJ9FrxEclFfDzR4gSlM1jPMxbIECg1WPWEywNfbpK95pxjg061jVIOQYvNhxKrUifejLEbzu6CVQ+MR3eJ/lyk+PLPZ8leL9xegT9KikkA4Km5W/HDlqNINURjTO87S6QuaXYbHru4n6ZavhmuGiG0X2uTG9z5Bc2FiEVGmg3PXWW+KwQD8OmMUfjtsA5BvR+R2NCdS4Ky6bdezpjDrr/63nK4WndfJFhTVqW77/8W7DI8Xyv/obKmMS4boANAo1uoFk0P8DeIJowxlbhupBjSqaXm+0t57Ze9+J/31qqOS3ZEY4wKKQmraZGVjrJZU7HyAcGzZlbF/+3rR2Lm5N5Is9uCWiQwBnTMz8KkfrGT7CGiD926AqBvjOn/2qKt+1R9Oricr+lju8peK1Wh91TWYsRTC/D28rJwpxYRnF6R03jxjEWbLgVyAct4/TtFG/F7R2FKItKIxtjfDPJV+7fPw4xzugEw1iSTIsr2SKWJzn/252CnSSQYqflE00G0o+65oBdWPzhe9wuU6bCrxABFREX0aOEO0vjTm7fIfm9j28U7KkOeUySJtzBltFl097n4dMYow+NSrZm43zNGxhgRWWzez1i7FuY94sF8Lgd1FKQspJ0kdlUYp79U1DTgD6+vQlVdk+n3IuKH1Hyi6SCaNel2G4pyAn/RpC1spDz2TeDkTCt5d0VZUCGpWZcN0PTqFc+ci/8s3g0AaPB2FIjXcmqfMWZP7H6U4WDG/j5sUD6fbIiLEjLGiEgjfsSCiYJorYHf+dPIgOdcEGSY8s2lZVi6+1hKV1UnMmSMaWAm0iEVmfx4+pm+7RoN1eVIYVSVI2VIpxa4amQnzV5rAPDP73cAAG7+YB0AYOnu2HQTMCLVPWNmSYuTnLpoQZ4xIloMaJ8HAChsbt4zdvRUo2qsT9sclM2aqntOsJ0DxOdWnKb7EgbQE01CqB/iM7qG35/QSh6a2kd3n1GYUiTWWmp6NHkT+AMVUSQ7XQvVjY9f/sNQ2etUqyr0GWOUM0ZEmNsn9MRXt4zGgA55ps85Wt2gGhM/q9ufmIR1D2tHWoJB/OTHa/EVEZjUumMboFTgD4a3rx9h4Uy0ue+zjaaO0wpFzr5CKK0261FqjNNWSmIv0FT2jBU0z1CtqJWr6FTzEHlEnbEU+7mJ6GO3MQzuGFyLotHd1At2ccGU6bAjP1uQwbCiglLZoJxIDFL3iRYAs82apYzpUQgAuHhQO6un4+PjkgOmjlM+j7Y/MQnF3io8I8HaeGkvpMf9X2wyPigFUf5dU80mEXPG0lLtBycSgjO6tsKt47rLxpTO67JZU/HyNcNkY1L1fyPqm4SowaIdlUF3CSBiDxljEsLx7tptDPnZ6TFtYC3mMiiNSanXxCj8+MOWct/2gq3lAY4k4gmlERKvBRiRwkWeMSLOufuCXrLXZrzXnVqpUxL0cEkatD70JS1aEw0yxjQwezu/fnQxbjzbv3I5UdeE91fGppJl+xOT0L99LoDABQhTBrTFtJH63q9jtf5E0xvfjd9WSamWExWIwpwMpCk8Y+9rtM1KZjyUM0YkGGY08a4e2QktshwoyskwPFYqRnugKrWqqZMBeqJJEBMfzd7PH72oHx66sK9qPBZeiUyH3WdkndurCE9c2l/3uL9fNgAT+rQ2dd1It3cKlVTLiQqEw8ZUBQ3fbDicUrkjVE1JJBpmPqs2G8PADi1QodMVZcOBk1i8owK1jS78bd5233iqecaTATLGNAj3dt7oclsyD7OM7Snkqw3s0AJls6aifYtmyDIoi371mmF410DnBgDOeyY+lZ9TuZpSSedW2ZqewstfWo4jp1JjhewhnTEiwTDrxV2yUxDgPnxKXZF5yYvLcN1ba1TFXesPnAx/gkRUIWNMglVrCWWLIavJayZvAO72qN9vYr/Ani+bjeGQQhjU4+HITk8MMdVgm/YmM/dP6a2rK1ZerdY3SkZc5BkjEoDnpw3xbQeb3+h0eTD5uV8we/5O1b6KGrWhRiQWZIxJEL3AoVRTSjntjKxnTOkVapmVrjpGFKVtmeVQ7RNppvCebT1Sjbqm6Hr1gmVU11boUpCNIjLGcO2ozgCA1rmZqKzRNrp2ltfIetwlK5sOngJAgpdEfJObGXqBV5Pbg21HqvHcwl2qfUZV8kT8Q39BDcLNAXZF8OF32dD2Pi/A3RN7AtB+ADHGsPPJySh5SF9MUKlNdeG/l1o30Qjh9nC0zjVOZk0FHr6wLxbceQ5a52bKknel3PvZRvxt3rYozyz6vLKkFABw4ER9jGdCEPooF8BmEBuSv7x4j+4xWYqIBtWxJB6Gxhhj7E3GWAVjbLPO/t6MsRWMsUbG2N2KfWWMsU2MsfWMsRLJeD5jbD5jbJf3/5bh/yjhE47oqxRnBJqFc85hY0D7Fs0wvHM+APi8Q3o90tLTbAHDNhmOxLPFm9weWgV6cdht6F7UHIBQUSmMqf/eq/eeiOq8YokjhcWAifgnFLHq9QeEQpwvfj2ke4wyZ5RzUuJPNMx8Mt4GMCnA/hMAbgPwtM7+cZzzwZzz4ZKxmQAWcs57AFjofR1zfGHKMK/j0sjhCpdGlwceLuiEPT9tMObedjZyvKHIUL9zegmkvxnSPtRpRhyn22O6pVMqkZFmQ7fCbDz9u0H4/OazYj2dqNOnrSDr0qdNToxnQhD6ZKQJHqzeQXxOz+1VZHjM91uOqsZKFNXUq/eewOZDp0y/LxFdDJ9qnPMlEAwuvf0VnPM1AJxBvO8lAN7xbr8D4NIgzo0YPpsmRB/vq171ZKfL+hXJv34QGnlX1DQiKz0N/drl+XLb9DxjRgztrO2QPEvSuqOguTofLZa43Jw8YxowxrDwrnNxyeD2yM6Qhyy2HK6O0ayix/l9hYKVQhN6TAQRKzq1EtIJbpDoUxohinmLKEOSRpRW1uLRrzfjildWJEQqSqoSabl4DuBHxhgH8Arn/FXveGvO+REA4JwfYYzpmv6MsekApgNAp06RbdUTrmdMNBKcEfCM/bS9AgBQVe+3ebt5G0aP7l4Q0jXFJH8t/j1tCBZsK8dP2ypCunakcLo9upWDhEAqCuKKHtNwi28IIpI0z0hT9ZU1opnC+BLbHhmFITPSbJi/tRw3xbF4N+En0nft0ZzzoQAmA7iFMTY22Atwzl/lnA/nnA8vLCy0fobydwMQevKjaCS4IpAz1uRt3C1tZ9SjdQ5WPzjeV1VnFadOO3HRoHbYdOgUahpdcZUUXXqsDsdrm2I9jbgmFfszOl0e0p4jkhK9pP+5m44EPK/J5cET326NxJSICBBRY4xzftj7fwWALwGIKqPljLG2AOD9Py7cL+JCw0ybCi1Ej0QkqikbvHIZygdOUU5mWN4AMbwj5YJ+bQAApZV1AIBfdh0L+fqRYEXp8VhPIa5JRc+h0+2h5H0iKdH7Ph/TkLP58Q6/v2PG++uwP44W0kRgInb3YoxlM8ZyxG0AEwGIFZn/BfBH7/YfAXwdqXkEg5h7FapjQTSUnBFoRVFcIIQkx5lI5gyG164djr1/nyIbUzYTj3ZHAT3E/oNWewKTjVTMqWty85QMzxLJj9bnesOBk9B6zHRs6Ze4kfYZJuIfM9IWcwCsANCLMXaQMXYDY2wGY2yGd38bxthBAHcCeMh7TC6A1gCWMsY2AFgNYC7n/HvvZWcBOJ8xtgvA+d7XMUd0aIXqaRKbNUfCM1bYXEhM1vJkhQtjDG9dN8L3Wiy/bt+iGYD46XPW5P29tibBV0KBkDOWeh5BIvnRcg5c8uIydNTQFsx02DBtZEff6xHF6iKttftSR+omkTBM4OecTzPYfxRAB41d1QAG6ZxzHMB4MxOMJple3S2lGKpZxFydSOiMiaXLkUpQ3njQX/Isll8/+Zv+uP6tNejQsllE3jNYRCV5peeOkJOKnjEKUxLJit49X7pI7pSfhTa5QspKC0lHljZ5zQDIJS4uf2lF0EUEROShu5eEmZN74/YJPTB1QNuQzhdLjhsi3A4pEkgFb8XqnY5eI6wpAsZlKFTVCZWkRzQa5hJ+8rPT8co1w/Drw/7uC5sPncKGAyex5XBy6gw5SQyYSDGO1/nDkLWNLjjSBKNtxjndfON6skebD51K2ntBokJ3Lwk5mQ7cPqFnyM2Gc70NvKsbgpFciw/+5NW9eenqob6xdLtglImVnLFm3maheuiNpXtjPJP454J+bdAyO90nkPvk3K245MVlmPp8cuoMzdt0FLsramM9DYKIGg9+6W+KU9vo8n3X85o5MLp7K4wobonMNO0oz4X/Xpq094JEJdI6YylFbqZgjJ2qt94Y61HU3Nf6JhLkZjpUrmsxd6y8Oj48Uc44MQoTCdHjubKU8kQIIllpcsk9ww67DbUNLtMyTZxzPPPjTlw+rAO6FGTjT2+vQXZGGv49bUiEZkwoIc+YhaSn2eCwM9Q1WR+mbHJ7QuprFg7i+4nq/7FGTOAnXU/zRCJ/MR4Z0qkFxvQITfyYIOKdUV1bGR4jfT447DY0ubnpYrLKmka8sGg3xj29GIAgMv7NhsMhzZUIDTLGLCYrPQ2nm1zweDge/Xozyo7VWXLdJlf0ezLGm15Vz9ZCPzdpTgQRPDUJGEY3gnqWEsnMhzedYXiM9POfnmZDk8ttXmYpvm71KQndvSwmO92OuiY3Fm6vwDsr9uF/5/xqyXVjUS0mVX4e/8xi2b5jtY3o9sA8lJRFL/yVkylE1Sf0sV7eI5V4Z3kZSspOxI1kiRU4XdSzlEheGGOGucxSz1i63Qanm2OpScFuvdQaTxLdI+IduntZTLN0O043uX39wDYdCr9i5bkFu3CstinqK3+H3YahnVoAAPZUyj18w59cALeH44m526I2H7HNFHlAwuP1pXvx25dXoNdD3yWN5hBJWxDJztbHL8D3t4/R3S9djKTbbWhyeXDqdGAv+Oz5O1E8cy5mvL9Wc/+qvclxf0gE6O5lMQeqThv2DAuW2Qt2AoiNvpZRntqGAyejNBO/zli8hU/jmT1/m+LTzxM56V0Fuzwcl7+0ApstWDDEmiY39aYkkpuMNDt6t8nFpscmGh7rSGO++2Ugnlu4C4B6sS2STN7zeIeMMYsRZSDa5lmvEh+LMEy6Tml0LBAT+CkcZR67jaFHUU7AYyqToG0K5YwRqUKOt2pfybr9fnHXdLtdJUnULoRnkp5OGWE9dPeKEGN7FFp+zWhXUwLxpXYvhinJAxIcRn/DZPhtOt2UM0akDv3a5arGRNFxQPCM1TW5ZPvdIRhWZIpFD7p7RYhINNeOhTEmfc/1GiHJQR1bRG0uTvKMhYTR5yYRO0YocbpIgZ9IHd6U9BIWkXYmybDbVI3Ez+tdhKvP6GR47R+9rfcAoHVuRuiTJIKC7l4R4rTkAbfxoDV5VbF42Ei9Kpe+uEy1PxY5Y/TQDQ6jv1Gjhpjux2v2o7ImccKXTW6Prx0MQSQ7Wt7ug1WnfdvKe+TCu87BXy/uj/N6Fxlee/p72sn8RGShp1qEkD7gLn5hGU5bIAS7u6Im7GsEi8Mm/4gcrKqPWVKnk8KUIWEkQpyfnS57fejkadz3+SbdCqt4hHLGiFRCa0F6o7elHS+ZLMEAACAASURBVCD3ho/sko9uhc2RnmbD0E4tg3ofV4qIRscDdPeymL9fNgCAOvSjjN+Hwvyt5WFfI1hcCsNr+Z7jlsh1hAJ5xiKDsuqq0fvZPXLytNbhcYfL7YGHI+SesgSRaGhVlD90YV/ftvQeKQ1NBiv/YqYik7AGeqpZjPglUPYCtGKF0eCM/hfju81ymY57P9uIuz5Z73vdu03gSj0rEQ1DMsas5aXFe2SvF2wTjP7Dp+KjJ6kRZceFsvz/LNpjcCRBJAdptsD3QIeiNZJIsN7jVGmnFg/QU81i0nRW51asMO65oFfY1wiWeo0Ql7Qop69GVU+k+HDVfgD6v2PCPC/83t8AeE1ZlWxfrzbC31TseBDvVHhz25poFU+kCEa3wAyJ0SWVpwg2xYM8Y9GDjDGLsel8S5ThvlCY0Dc+2gCdlKg6RzN/7JA3bKb3Oya0EW/Ar1073DfWp62+ES22wappcKm0iuKRtnnNAAD3Teod45kQRHRgzH8PHNOjAOf0lEspSYtZpAaV9Dwz0AInepAxZjF6XpslOytDvmZhTgamjeyI9i2ahXyNUFn94HjZ6ykD2uBEXZPvdTSNsYsHtUOXguyovV+yIC6MB3bI840FCle4JDfgNVHsPRoq4nzbt4z+94MgYs17N5yBd/40UjaWbvdrjjldod+jKYE/epAxZjE2nZXHhjDkLSprGrH9aPQrKQGgKCcTY3oU+F4rja9vNx7B2n1VytMigtvDKUk7BMQwhdlcO+lq2Ioq4Ejz/sp9AIADJ+pjPBOCiA+k4cjsjMDpBo9f0k93n9Srtm5/VdTu9akIGWMWo+cZm9K/bVjXjUXyvhZanrDLX1oelfd2uj2ULxYC4p9MeoMOlAuSaKvhBdsqAAB7KmtjPBOCiA+k0hZTBrQJeOy1o4pVY2I7v53lfifAZf9ZHrV7fSpCxpjF6HluggzV+xBDMJP7B/5CRQvxwRcLyDMWHlLPWKDfo8sTH4a/WXzfrcSyIQkiYkjTEMzkif172hDkSgp2xEX3q0tKrZ8coQkZYxaj95ALNYFfDBnFU4/IQR3yMKprK9nYfzccjvj7ujycPGMh8KfRghhkRpoNvdvk4MrhHdG5VTYeu6iv5vFNEs9YqIuIaCJ+50LpvUcQiUznVlma44H0xD688Qw8/btBsrGLBrXDjHO7+V6LBT5aXjMiMiRG7XoCoWeMhZro3ugNT8aiL6UeGw6ewnhFW43b5vyKiwe1i+j7uj0caaQxFjQPX9gHD07tA8YY5t42xvcZvWZUMR77ZisAYOG2coztWQiH3SZL4Odc6LrQoaX2TT8emNSvDV5ZUopLBkf280cQ8cSqB8br5oOJuctai/izugs5wJxzDA7QWzgr3e67F9Q2hi9aTgSGnmwWIzXG7p7Y07cdqmdMbKuUkWY3ODJyaLm5V8egyq6uyRVXHsJEgTHm+1xKP5/S7RveKcGs77YDkOeMvbOiDGf/YxG2HamOzmRDoNhbYdu3bZ7BkQSRPLTOzURzHWNMvGUHkrD53fCO6NFaX7Q7zcZ8z63+j/4Q+kQJUxg+2RhjbzLGKhhjm3X292aMrWCMNTLG7paMd2SMLWKMbWOMbWGM/UWy7zHG2CHG2HrvvynW/DixRxpGO6en33vkDjEPp9ElVLPF0gj5+2UDcNWIjrKxmobor5SqTzvRMivd+EDCNBdJvJllx+pw+0e/4t7PN/rGVnk7Sew9Vhf1uZlFrBalCDZByAk1cM8hRGO0dMZi0SM5FTDzhH8bwKQA+08AuA3A04pxF4C7OOd9AJwJ4BbGmDRJZTbnfLD337wg5hzXiIKkRTkZGNAhD89PE5TOQ61QE0U3MxyxM8bat2iGWZcPVI1HOyzk8nDNnmxE6DgUFsxX6+W5f6KhE8/pWKLTOVhBS4JIVsL9JrTNzcSx2iZf1xMpE55dEubVCS0Mn/Cc8yUQDC69/RWc8zUAnIrxI5zzdd7tGgDbALQPb7rxj+gZE/8fUdwSAHDPZxt1zwlEPIQpRfopWh/9Q2Gg8Qg/sV1ubtiTjQgOh6zqSr3fZ4zFcakiJ88YQcgQczwvHxr8I7eZw46HdYp7iMgRlScbY6wYwBAAqyTDtzLGNnrDoC0DnDudMVbCGCuprAxdxT5aiImTdrs6RycU4iFMKXKmpIIyr5kDmQ65gbjh4KmIvr/T7Qm6txoRGCNPo+h1imfPWEW10JtST3CZIFKNwpwM7H5qMq45s7Ppcy4a2A45mWn45n/PluWiRbPLSioT8Sc8Y6w5gM8B3M45F7OAXwLQDcBgAEcAPKN3Puf8Vc75cM758MLCQr3D4gbx4ebwenDC/SCXex808VBNecf5/oKEjvnq1jN1Ea64oTCl9XwgCUMs2qG/2Inn2/GHq4WfgWwxgvCTZrcFFbrvmJ+FTY9dgO5FzWXjmw9FdpFNCET0Cc8Yc0AwxD7gnH8hjnPOyznnbs65B8BrAEbqXSPRYJB7xAqbZ4R1vT9/sA4AsOVw7KvZpKulTvmCG3xSP78YbU5mZJVSBAX+2BulyYp04aD06H6/+Ui0p2Oaq8/oBADIzXTEeCYEkTwU5gjPrkU7rBX6rm5wokrS35gQiNiTjQkm+RsAtnHOn1Xsk/YG+g0AzUrNRER8oIkPszS7DeN6FWJA+/DK7tPjzCMk5otF0xvhcnMKU0aJTIUndu2+Kjzy9eaI5wWGgviJsFHSGEFYxi1eEVirK+eHPTEfQ56Yb+k1kwEz0hZzAKwA0IsxdpAxdgNjbAZjbIZ3fxvG2EEAdwJ4yHtMLoDRAK4BcJ6GhMU/GWObGGMbAYwDcEckfrhYILaSkYbTbIyFHcIrCNPDZjU5Xi+ENE9nx9Ea1DQ49U4JG5fHQ6KvFlOUo/25qlM0CC+vbsS7K/ah+nT8iT+6OXVmIAirERc3LZqpPc6frDkQ8nWdCdb7NloYxpU459MM9h8F0EFj11LoVNhyzq8xNbsEpHO+IEA5fay/tcTC7eG7eSfFSW9KFZK/8D2fbcRzC3dh6X3nWf42nHM43VwlxUCEx2MX9/OFws1Q1+RCXlZ8hQNdHk5eMYKwmHdX7AMAfLX+kGrfvZ9vxBUK7UkiPKgdksXkZTlQNmuq5deNFw2lv182QJbgqZzVwarTEXlfMfxLnjFruaBfcEb+JyUHcPuEnsYHRhEP9SwlCMs54c3r2lMZv4LPyQQZY0RQTBvZSfY6Wkaiy2eM0UPXSvSkVwqap+NYrTrJtjYGnReMcHk47HGyWCGIZCFcWSYtTivSHwg/5GaIIqEmP193VrG1E7GQiuqGqLyP09uWw0HVlFHh1Gnt3D+lUgvnHGUxbpXk8XCfrh9BENZw/ehiw2M2HjzpuzebQewoQ6ihJ1sUCTZxUewHOGe1uiVFvLBqb3QahovtpMgzZj0f3nQGrh0lF4fU+6zO3eRvl8Q5R5f75+Hcpxdj4bbyiM4xEOQZIwjrGVGcH3D/nspaXPzCMlz92qqAx0kRRcwJNWSMRZGGID+Ie4/VAvC3REplnL4qVfrIWs1Z3Qrw+CX9VeN/v2yAaqy8uhFr91WheOZcmfZdtIxyLTycEvgJwmoyDVrwfb72IABgdZnxd/8f32/Hst3HZI3HPaTsL4OebFHgyUuFB12DMzhjLNTm4smI+Lugasroka5j+M7bJAjALpB4w6IVrtbCTZ4xgrCcZulqY0yq8/ifxXtMX+ulxXtw9eurZGFKdxxqFsYSMsaigNjDsdEZnIdLTKCMRCKlVVw4sK3xQRbgD1PSRzZa6LXgemPpXgDA0VN+Ayw/O3Y6eG5PfH9HCCIRyc6QG2Of3zzKJ/YdDOWShZo0/YF6XsqhJ1sUyHQIv+a7Pt2Ah78y32wgzyu298K0IRGZlxVoSQrM3Wh96xwxTEkK/NHDqDn9RxLhx0Id8dhoIIQpY/b2BJGUNHPIjbFhnfMxub/+4vvAiXr8e+EuX6Haeyv34cEvN+HwSb/ckTTZ30zi//hnFuP2j34NduoJCd3CokC2t6fj6r0n8N7KfabPE1cRLbLSIzIvK7BrPAVv+XBdUBU2ZvB5xuipGzXW7q8yfWwsdb4oTEkQ1pOhkTPWLN2OG8/ugiyNEOaYfy7CM/N3Yt3+k+Cc4+GvNuODVftRUua/jzz63y2+bTOVlXsq6/DV+sOGxyUD9GSLAq2yQzOmfHIOcewNunhwO83xfo/+YOn7iL8LqqaMPCOKW+KbW88OKqwey7+LmxL4CcJypGkKl0ju8440G+oVemFHTvm9Xyv2HMOHEgWAp+Zt822v3ec3zJosXrAnOmSMRQGtFYYZ/MZY/P6ZzulZqNlxoMnlwbcbD+PezzZY8j6i6Gs8G6aJjqgr9Mn/jMKADnkY3b3At++nu84JeG4s/yoe8owRhOVI8zClYt9aRVQz3lvr2z58qgELthpL3ZDmmJz4fconEcpEaLOVZ8v3HAeQGN6g3m1yVGO3fvgrPik5aMn1XaJnjMKUEeORC/ui9G9TfF0V+rQV/qb52enoWtjcl/uoRSwLf90eTgn8BBFBpIWPWs6BDQdP+bY/XLUf1SY6dcw3MNh2V9SYn2ASQE+2KKA0xn4y2ThcrFrTkxiIJ7YfjewXx0mirxGHMSYL94mfO3GoV2u1wS0SS80gD+ewkWeMICIGh//7bSYlQBqO1OPpH3fo7vtxy1FMeHaJucklCfH/lE8ClFVpM7/YFNT58RymjBYuT/yHbJMNZd/RQN4nsdo1FpBnjCAijGStZVV4sSFATuqiHZWWvAcAbDl8CsdqGy27XqSgRuFRQE+vySz0oJFWU9LvItqIIYpAIeJYChS7ubnVOkEQodG9dXPf9nMLd0X8/ULt46zF1OeXAgC2PT5JU8g2XiA3QxRIhDBjuBS3ytLdZ8UXKxGKGZIN0TEm/vUCpeu5YlgZJSTwx+ztCSLpKcrJtPyaXQqy0eB0Y9zTi1VhTamGIQAUz5yL7UerEQ7fbIhviQx6skUBI/FMIxKha8SlQ9rr7ttRHn4+2cl6JwDyEkaTllnpOLdXIV78/VAAcs/YmB4FsmOdMcwZozAlQUSG164djv+7crCl17xsaHt0ys/C3mN16P3w99h7rA6Xv7Tc8LwftxhXaCq59s3Vvu14b1JOxlgUUObeBIs0eTJeCZRAXXasPuzr3/v5RgDATgsMO8IcdhvD29ePxKhurQD48/YAdSuT002xu9G5KYGfICLC+X1bqxbai+8+N+jr3HNBL9/20l3HQnJQBLvecro9WLLTn3tW5V3QxytkjCUAifCguWpkRwxon4ffDeug2qfscRYOTmqeHjNWlp7wbSs/km8vL4vuZCS4PZyqbAkiSoht+oLhjC75vu2KmkZfv2Yp//WGEfWkn4LNC1XmsSqFauMNMsaixIQ+rWWv65v8Oixr91Xh6/WHVOeIn72O+fr5WPFCUU4mvvnfs9FJY65W5syR6Gt8kNfMgYEd8mRj6w+clK1Eo4XL7SH9OYKIEqEUyyiFz7U8Y7fNEXpQHj6lbYwFK+ysrPCWPnPjEbqDRYlXrxmGTY9N9L0+828LfduXv7Qcf/loveqcllnp+MOZnVTj8UwLjdZPVpYpRyKRlAiOdnmZeOrSAXjn+pF49opBKMrJQNeCbFz64jJZjka0cHk4VdkSRJQIxTOmzOnU8oyJKFMg9K5hhNIz1qFls6DOjzZkjEUJm40hJ9P/Ia5ucKHsWF3Ac4SHTGL9ia4a0VE19vLPe8K+7l/G9wAADOvcMuxrEeHxh1Gd0TI7HS2z03HZ0A6oqGlEqcFnOZK43BSmJIho8vIfhiIjzYZf7h2HopwMw+OlEY1PZ4zyVcdroWeMBZt7rXyPZgEMwHggsZ70Sca/AigQA4lZJeaw27DhkYnoWpgdoesn1u8jGXltSWmspyDD5aEwJUFEk0n922L7E5PQMT8LP5lI6JeaVyOK8wMunvSMpmBv/UpjbK8FhWSRhO5gMWTuxiOy10o9rtpGV9wnHWqRl+VQfaFOhVnJ4nR7kGZjYVemEuGjt3IVOVHXFKWZCLgogZ8goo54LzaTImBjwDe3no0PbzoDAJCZFiBM6X0OPnpRX7xyzTD/NcIMU765bG9Q50cbU8YYY+xNxlgFY2yzzv7ejLEVjLFGxtjdin2TGGM7GGO7GWMzJeNdGGOrGGO7GGMfM8bUyUYphvQhJwrczVm9P1bTCYsth+UCfeG2y6EHbuzpmC/kXPzhzM4Bjxv/zOIozMaPy5144XyCSBakyfgFzbVDlul2OwZ0yMNZ3QR9wkDi3eJzsGthc1kV5iNfb8GiHeb6OgNyKR4lC7aW42R9dBeNRpi9g70NYFKA/ScA3AbgaekgY8wO4EUAkwH0BTCNMdbXu/sfAGZzznsAqAJwg/lpJy45GfodqFwSYyzYypF4J9x2OQdO1AfsZUZEHvFGO75PkWw80yG/jURbz0cIUybX94UgEgVptGJIpxa4fKha3qhltjzp//stRzWv5XJ7fMaYnTGV0Xb9W2tMz0spg9QyS5jDibom3PhuCaa/t9b0taKBKWOMc74EgsGlt7+Cc74GgPIuPBLAbs55Kee8CcBHAC5hwl/vPACfeY97B8ClwU4+EVn/qL+icqTE6gfkxpjYz/LuiT2jM7EIEyhh0wzfbdb+8hLRo0/bXABAiyy5E1sp2xJtSGeMIOKD564ajFmXD/C93v7EJKy8f7yseC0Qh082+JTybbbw+jorHQBndhXEq8V0oG1HwmuvZDWRbhTeHoC0ydRBAGcAaAXgJOfcJRnX76eTREgT8lfvPYGVpcd9r92SD89Rr9ZKh5bxrzFmBlcM2+UQ1vDIhX3xmyHt0a2wuWw8UJl6NHC6SdqCIGLJL/eOg83GkJWe5jN2zuiSj0yHHW3yzN8fbDbgHa+A9MrSExjlNaBCoUnhAGh0Ca/FR1FNQ3zpjkU60ULrDskDjKsvwNh0xlgJY6yksjL6gpKRYNnM83zbV7260rctzau66jVhPFmMmHA9Y/ka+mVEdMl02DGiOF9j3Pxt5PVfSrGmTNfJHhKCZ4xyxggiVnTMz0L7FkJOKWMMi+4+F29fPzLo69htDBf0awMAmNy/TVgFWy7FM6fJa4wZFSDFikjfwQ4CkApPdQBwGMAxAC0YY2mKcRWc81c558M558MLCwsjOtlo0TZXW7h0+JMLfNtiYWWyrPfDNcaGdW7pC5MR8UVWunkH+5Nzt+F3L6+w9P3FSluCIOKDLgXZaJau7xG7zasbKfLP3w4EADQ4PT4DLDuI+4oWUkdG18JsX/gzUGJ/LIm0MbYGQA9v5WQ6gKsA/JcLfsxFAH7rPe6PAL6O8FzihlDaSSQqYqVNuAn8guaaFTMirOaige1MHReuvIkelDNGEIlF9yJ5qkO+Nw+1psGJ0spaAECGhse9a4E5/cqhT8zH1a+vAgB8fvNZ6NAyC03eZ9Cu8tqQ5x1JzEpbzAGwAkAvxthBxtgNjLEZjLEZ3v1tGGMHAdwJ4CHvMbnenLBbAfwAYBuATzjnW7yXvQ/AnYyx3RByyN6w9kdLTJRaYzUN8d1pXo/OrYRct+tHdwEQ/mpEMMbIGotHBih6VOpx8rT1peScc7jos0EQCYWyk0pOpuAFq2lw4T+LhY4tWj2NzXb6kGodOuwM6XabL0x5/dvmKzKjiSk/IOd8msH+oxBCjVr75gGYpzFeCqHakpCgXOXP23wU13kNmkSibV4m9h2v9/Uxa3KF7xmjUFRiIJaQK1GWmluBmP/hoM8GQSQM7Vs0Q9msqSieORcAfNWWUueDXcfbvaeyVlVEBAjpCj0e/A4PX9hXNp5msyE9jYWdKhNpaDkZIx5RfGBEnG6OBqdfdT8rQNw9nnnuqiG4ZVw33wqoKkyBPZfHk3CtoVKJ3m1yAABTB7bVNbquetXaXDHAnxeid+MmCCJ+GdA+Dy2y/r+9Ow+Tor7zOP7+zs0p9yEIAxGvSKKICipKMCKgj5is2UeXjcQjrsaYw6xKYnaz5ombc9csu1GTjcaYVTRBjSZqPInGXcGgKALK4QUIcjuAwDDHb//o6p6anqqenpmeqa6az+t5+qHqV9U9NT9+U/Xt31meqRnbfaCeI4em7iXpOTl/c1nzOpsz/+25wM9Kr1Zzy1NrmqVn14wVq86e2kJCDOkbPFPxwYZGduytzex/ccrYrrqkghrat4rrzj6Kl9/bBcCX7nmFd39wTrs/r6HR5Zy1WaL1wFWnsOdAPZO+/0yLYw2NjjtfeIfte1MBeSFrOOszNWMqGyJx84drTgNgl9esuPdAPau37AGaJpOdMi7PgXved8C9tc2nrCgvLaG8tKToa8YUjEUk7IFU39DYbI6P9DeGuKqtK8zamvWNjqpy1X4Uq16VZfTyrS7hX+T+3iXvcfNjb2SOFXK6lvTwddWaisRXumb74Vffb/dnhC25V1ZqvLP9IzbXHMg0ixYjfZ2MSHaH4++dfywAL769o9loj/Ej8uscXawO1BcmGGv0Pdyl+Pk7yf7TwyubHcu1JFhbZWrG1EwpElslXi3Yaxtr8jp/w859LdLCRuyXl5aw1GuhKWYKxiKSPRQ/PQXEl+9dxpX/07RmVkcmvSsGE71JQj9+aMfmCKtXB/5YeX5N+ATNI/r3KNjPSd+ANZpSJL5au7Mv+daZzfan/GgRNfvq+I+n1/Kkt85lWDNkXJ4auoNFJDuwSGp/qL5V5Ywe2JOVm3bz4ls7Wn9DiAbVjEmA9A1Y84yJJNfQgInSr1v4Grc8vSaz4HfYzPqDegf3zy42yYwAYiA7sGh0xblEQyGUerV7F/33Yp5etaVdn5GqGVNxTYJC9hlL34BVayqSbOd9svnk0k9mPUvC5rIsKTEuO634p4fS0y0i2YHF/oCO7nfMndhVl9Op/Au2rty0u12foZqxeLg0jznxCjnEPH0D1tqUIvGVz7191ICeOY/nmscw6L3F1s9Ud7CIZBe+oBXk27LmXzHbuGt/Znv1lt3c99J6Zvz0+TZ9hiZ9jYd85sWrLdCgDoB0nF8a876VIt1ZVXnr942hhwSv6Zz2lQXLQo8FPTrqGlyLFW+ipGAsIv6o/PGvTqFmf8tlj4otci+E59dsZ96Dr/PmB3va9D7VjMVD2PByv9oC1oylmylVMSaSbHNOGpXz+Nqt4WtOhg2EC+tnFgXdwiLiDyyOHt6Xz53QcjWpJHbqP8Y3qrItfwiagT+egv6Pa+sKF4yl+1qWqGZMJDG+cdYRLdJKOnD/f+aN4L7Khey/2lHJe9rHRPbDY2zAWltJHCH20js7M9ttmRFZNWPx8MmR/Zrtv7rhwxbnHKhvKFjzQDoYU9kQiTf/mpLHjmzb/JqfvfV/cx7/6GBw1wgFY5LX6Mkk1oz5tSUY0zxj8TBr/PDM9sH6Rp5bvbXFOc4VbtHwdM2basZE4u24w5oCsKqytq3J/Mr6ll/6/K6Zdnhgen0RLZGU7Kd9EUvHYqMHNo3yyO4jlpRg7LV/nh6Y3pYHckOD08SeMbP7QB3zn10XeOzPAUFae2SaKRWoi8Taro+a+k0H9aEGmPHxYe367MqQ4G7XvuCfEwU93SKS/kbft6o8kzZp7MBm5ySlJuiQnuWB6W1qpnQukc22SbY/pGkAyEzU2FEaTSmSDNWDemW2t+45EHjOrXMmUNGGSor5Fx0PhA+G+8Nrm9pwhZ1LwVhEDu2XWhLmbyaMyKR94ZTqZuckpWYsTFvmm6pXn7HYSP83ff3+V1scO3ZE0wCOmv113LtkfYeaCpo68Lf7I0SkCBw+pKnfdP+eFYHnlJQYa26emdfnvfuDczITxcZhwvDiv8KEGtynkrU3z2SuLwDrU9W8BimJU1v4tbUDf1JqCpPutr8/ASBwcd65k6sz2wteWs+3Hnqdp99of5NlY6OaKUWSxt/3NJc5J+ee7iItrOI8rAYuCgrGIlReWtJs/pNPjDyEiaP7Z/aTPqt4vn3GnHM0NDp10o6JXBO/+puaV3tzzdXsP9jun9Wg0ZQiiZPv33NQ69FTXz+dFTed3Swte7zcjbOODkyPUrKf9jFTVV7KwqtOyeyrZixF6w/GS9AN8owjBvOVM8exyrcc1kPL3gfgYAdGVqZHpitQF+k+rp9xZOixMYN60bsy9+o1VeXFF/oU3xVJRtgIkKSob3S8t+Mjquc9yrL1LZu00jK1HwkPTpOib1XLARt3XXIi1551ROA30Q71GWtUnzGR7qaXt1Rg9hRRXzilOrBFaUDvVB+0S06tZu3NMzMj84upRj0Zix8mVDEVlI66+TPHcuNDK5ql1TU08tyabQA8+Mr7HD+qf9BbqW9QzVjcpZvj+/dq2TG3vgM1Y03LIalsiMTdH758Gm9tC1/WKC39554djJ3ysYEBZ8OIfj145htnMGpAT8pLS/jshBGs/mA3154VXsPW1VQzVoSeu24qL9zwqagvo6DmnDy6RZq/mdIR/kBOj7psy5Bmic7A3s0DrmF9mxb4nZs1YhjgYAdqxhq0HJJIYowfeQjnHz+i1fPSX+78E+jff8UkpueYh+xjg3tnulBUlZdy0+xjQ6ddioKebkVo9MBejOzfs/UTY2bu5OYB2dotezOduHN1pEw/rCsS3mybFEN9wRfAQ1c39YPsXVnGP5wxttnxjtSMOQVjIt1O+u/dv6zaSWMGRHU5BaFmSukyZxw5mF+/+F5m/zuPrMxsf1ATPsQ4UzNWpu8OcTT8kB7N9i8/bSw/f+7tzH5DYwdqxtKTvqqZUqTbyDRTNqZGT9Y3umYzE8RRq083M7vTzLaa2YqQ42Zm881snZktN7MJXvqnzOxV3+uAmZ3vHbvLzN7xHTuusL+WFKNcrVF1ORZsrVUwFju/u3Jy6LFBWc2Y859dx+aa/e36OU1TW7Tr7SISQyWZZkrHuKF9OHp431beUfzyuYXdBczIcXwmMM57XQHcBuCcW+ScO845dxwwDdgHPOl7BrdJXAAADmtJREFU33Xp4865llN1S+JMGTeIWeOH8cdrTgPgrGOGZo7V5ZiNX33G4ifX0PKgb7CTv/9suyZgVDOlSPdT6U1NUVmEU1S0V6vNlM65582sOscps4G7XequuNjM+pnZcOfcZt85FwCPO+f2dehqJdaqyku5dU5qdvaeFaXNpkA4/YjBoe9L9xmrVM1YbBw1rE+b37N1dy1D+lTx4yfeZOqRQzixuvU+IA2NCsZEuptzxg/nrW0fcfmUMVFfSsEU4uk2Atjg29/opfldCCzISrvZa9a8xcwqC3AdEiM9K8rYvrc2s//sm1tCz1Wfsfhprf/GA77JjdPO/c8XmPaTP/OzRW/xudtfzOvnaGoLke6nrLSEa886InBOw7gqxNMt6C6Y6QBkZsOB8cATvuPfBI4CTgQGADeEfrjZFWa21MyWbtu2rQCXK8Vg+97azBxjAH99N3zSVwVjyTN2UK/A9Le3fwSEryWXLbNQuIIxEYmxQjzdNgKH+fZHApt8+38LPOScq0snOOc2u5Ra4FfASWEf7pz7hXNuonNu4uDB4U1ZEn/V8x4NTK+tbwDUZyxJWgus8w2t0uM+StVMKSIxVoin2yPAxd6oyklATVZ/sYvIaqL0asuwVFvG+UDgSE3pfhoDRlWqZiyeykuNC04YGXIs9/9ljsG1zTRoOSQRSYBWO/Cb2QJgKjDIzDYC3wHKAZxztwOPAbOAdaRGTF7ie281qVqz57I+9h4zG0zqC/CrwJUd+zUkbqYfM5QnV7XsJ1bf6KjIerI2TfqqYCxO1t48K/RYeYHWGVUzpYgkQT6jKS9q5bgDrg459i4tO/PjnJuW5/VJQgUFYtBU0+FXq6ktEqdQEzSma1LVTCkicaanmxSVuoDZ2NPNlJraQrKlV1LS1BYiEmd6uklRaQhYp1B9xpLpqGF9mDfzqA59RrpmrERFQ0RiTLcwidx030z89QHNlHVen7HWOn1LvPzpa6dz5Rkf69BnpJdDKlM0JiIxpjuYRG5E/6aFpNN9xtI1Hs65TIBWVqBO31JcvjS1/QGZJn0VkSRQMCaR+PKnDs9s9ygvzWz/Ze02lr67k7HfeozFb+9gzDcf48dPrAagXLUfiXT9jKMYNaBni/SgaU6y1Teka8YUjIlIfOnpJpE4flS/zHaVLxi76//e5cW3dgDw6PKm6epKTNMXJNn+uoYWaUFN1mkbdu6jet6j7Np3EFPZEJGYUzAmkRjSpyqz7R8luXLTbp5dvRWA3yx+L5Nepv5iibZtT22LtBseWE7N/rqAs2HKjxYBqeBd01qISNzpCSeRGD/ykMy2v2YMYNn6D1ucX66aj27noWXvc9MjK1s9L1cNmohIHCgYk8is+u7ZLP+X6XnNH6aasWTzT1ty9PC+me0Hl73f4twNO/d1yTWJiHQVPeEkMj0ryuhbVZ7XlBWFWj5HilN6VORz103l85NGB57jnOO3f93Alt0HuvLSREQ6XavLIYl0tgUvrW/1HM0jlWzpYKxPVTm9KksDz3ns9Q+4/oHlTBk3qCsvTUSk0+kJJ5H7II+ajqDRdpIcHz801TTZr0d56Bqkm2v2A/CXtdu77LpERLqCgjGJ3OWnjWn1nLBRdZIMD199Kqu+ezYlJcaaLXtbHF+5qYbfLt0QwZWJiHQ+NVNK5HpWqBh2d2WlJZlBGunlr/zOmf9CV1+SiEiXUc2YRO7Qfj1aP0m6jewBHUHBmd/I/io/IhJvCsYkcqeNG8TCKydHfRlSJM75xLBm+zv2Hsx5vpZCEpG4UzAmRWFi9YCoL0GKxOFD+jTbd+Se1FVLIYlI3CkYk6Lx+6tP5YGrJjNr/LDWT5ZEW/SPUzPb6cXAw8w8VuVFROJNwZgUjeMO68cJowdw65wTWhw7fEjvCK5IojJmUC/O/cRwAN78YE/Ocz8/qboLrkhEpPMoGJOiNqh3JQDXTDs84iuRrjZrfCoY++LdS3OeV5HHcloiIsVMcwpIUVv67U9HfQkSkXw75g/oVdHJVyIi0rkUjElR+v5nx7Nq0+6oL0MiVJ5Hjdf9V0zqgisREelcCsakKF100qioL0EiFrYsUtrpRwzm5LEDu+hqREQ6jzpbiEhRcrkHUXL3pSd1zYWIiHSyvIIxM7vTzLaa2YqQ42Zm881snZktN7MJvmMNZvaq93rElz7GzJaY2Vozu9/M1PFDRDIaW4vGREQSIt+asbuAGTmOzwTGea8rgNt8x/Y7547zXuf50n8I3OKcGwfsAi7L+6pFJPFKNZmriHQTeQVjzrnngZ05TpkN3O1SFgP9zGx42MlmZsA0YKGX9Gvg/PwuWUS6A1MsJiLdRKH6jI0ANvj2N3ppAFVmttTMFptZOuAaCHzonKsPOF9EhKOG9c1sf/uco/nT16Zk9k8ao+WzRCQ5CjWaMug7bLrDxyjn3CYzGws8a2avA0FzFgR2EDGzK0g1fTJqlEbYiXQXA3pV8K+fGc+J1f0ZN7T5epVV5aURXZWISOEVqmZsI3CYb38ksAnAOZf+923gz8DxwHZSTZll2ednc879wjk30Tk3cfDgwQW6XBGJg787eVSzQOyfzz0GgOfXbIvqkkRECq5QwdgjwMXeqMpJQI1zbrOZ9TezSgAzGwScCqxyzjlgEXCB9/65wMMFuhYRSaj9dQ1RX4KISMHl1UxpZguAqcAgM9sIfAcoB3DO3Q48BswC1gH7gEu8tx4N/NzMGkkFfj9wzq3yjt0A3Gdm3wOWAXcU4hcSkeSaNDbVV+yIoVo4XkSSw1yM5vKZOHGiW7o096LBIpJsO/bWMqBXBabhliJS5MzsZefcxNbO03JIIhIrA3tXRn0JIiIFpeWQRERERCKkYExEREQkQgrGRERERCKkYExEREQkQgrGRERERCKkYExEREQkQgrGRERERCKkYExEREQkQgrGRERERCKkYExEREQkQrFam9LMtgHvdfKPGQRs7+SfkXTKw8JQPnac8rDjlIcdpzzsuLjm4Wjn3ODWTopVMNYVzGxpPot6SjjlYWEoHztOedhxysOOUx52XNLzUM2UIiIiIhFSMCYiIiISIQVjLf0i6gtIAOVhYSgfO0552HHKw45THnZcovNQfcZEREREIqSaMREREZEIKRgTERERiZCCMR8zm2Fmq81snZnNi/p6iomZHWZmi8zsDTNbaWZf9dIHmNlTZrbW+7e/l25mNt/Ly+VmNsH3WXO989ea2dyofqcomFmpmS0zsz96+2PMbImXF/ebWYWXXuntr/OOV/s+45te+mozOzua3yQ6ZtbPzBaa2ZteeZysctg2ZvZ17+94hZktMLMqlcXczOxOM9tqZit8aQUrd2Z2gpm97r1nvplZ1/6GnS8kD3/s/S0vN7OHzKyf71hg+Qp7VoeV4VhwzumV6jdXCrwFjAUqgNeAY6K+rmJ5AcOBCd52H2ANcAzwI2Celz4P+KG3PQt4HDBgErDESx8AvO3929/b7h/179eF+XgtcC/wR2//t8CF3vbtwFXe9peA273tC4H7ve1jvLJZCYzxymxp1L9XF+fhr4HLve0KoJ/KYZvybwTwDtDDVwa/oLLYar6dDkwAVvjSClbugJeAyd57HgdmRv07d1EeTgfKvO0f+vIwsHyR41kdVobj8FLNWJOTgHXOubedcweB+4DZEV9T0XDObXbOveJt7wHeIHVTn03q4Yj37/ne9mzgbpeyGOhnZsOBs4GnnHM7nXO7gKeAGV34q0TGzEYC5wC/9PYNmAYs9E7Jzr90vi4EzvTOnw3c55yrdc69A6wjVXa7BTPrS+qGfgeAc+6gc+5DVA7bqgzoYWZlQE9gMyqLOTnnngd2ZiUXpNx5x/o65150qUjibt9nJUZQHjrnnnTO1Xu7i4GR3nZY+Qp8VrdyPy16CsaajAA2+PY3emmSxWumOB5YAgx1zm2GVMAGDPFOC8vP7pzPPwWuBxq9/YHAh74bkT8vMvnkHa/xzu/O+Qepb8PbgF95zb2/NLNeqBzmzTn3PvATYD2pIKwGeBmVxfYoVLkb4W1np3c3l5KqFYS252Gu+2nRUzDWJKh9XvN+ZDGz3sADwNecc7tznRqQ5nKkJ5qZnQtsdc697E8OONW1cqxb5p9PGalmjtucc8cDH5FqHgqjfMzi9WuaTarp51CgFzAz4FSVxfZra551+7w0sxuBeuCedFLAaYnNQwVjTTYCh/n2RwKbIrqWomRm5aQCsXuccw96yVu8Kna8f7d66WH52V3z+VTgPDN7l1S1+jRSNWX9vKYiaJ4XmXzyjh9Cqnq/u+Zf2kZgo3Nuibe/kFRwpnKYv08D7zjntjnn6oAHgVNQWWyPQpW7jTQ1z/nTuwVvIMO5wByvmRbanofbCS/DRU/BWJO/AuO80RgVpDqqPhLxNRUNrz3+DuAN59y/+w49AqRHBM0FHvalX+yNKpoE1HjV+E8A082sv/cNfbqXlmjOuW8650Y656pJla1nnXNzgEXABd5p2fmXztcLvPOdl36hN8JtDDCOVMffbsE59wGwwcyO9JLOBFahctgW64FJZtbT+7tO56HKYtsVpNx5x/aY2STv/+Ri32clmpnNAG4AznPO7fMdCitfgc9qr0yGleHiF/UIgmJ6kRoBs4bUSI0bo76eYnoBp5Gq8l0OvOq9ZpFqp38GWOv9O8A734CfeXn5OjDR91mXkuqMuQ64JOrfLYK8nErTaMqxpG4w64DfAZVeepW3v847Ptb3/hu9fF1NAkdc5ZF/xwFLvbL4e1Kj0lQO25aHNwFvAiuA35AasaaymDvPFpDqY1dHqnbmskKWO2Ci9//xFvBfeCvkJOkVkofrSPUBSz9Xbm+tfBHyrA4rw3F4aTkkERERkQipmVJEREQkQgrGRERERCKkYExEREQkQgrGRERERCKkYExEREQkQgrGRERERCKkYExEREQkQv8PPQzbZFN10loAAAAASUVORK5CYII=\n", "text/plain": [ "Failed to display Jupyter Widget of type HBox
.
\n", " If you're reading this message in the Jupyter Notebook or JupyterLab Notebook, it may mean\n", " that the widgets JavaScript is still loading. If this message persists, it\n", " likely means that the widgets JavaScript library is either not installed or\n", " not enabled. See the Jupyter\n", " Widgets Documentation for setup instructions.\n", "
\n", "\n", " If you're reading this message in another frontend (for example, a static\n", " rendering on GitHub or NBViewer),\n", " it may mean that your frontend doesn't currently support widgets.\n", "
\n" ], "text/plain": [ "HBox(children=(IntProgress(value=0, description='Epoch', max=1), HTML(value='')))" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "[ 0. 1.09579 0.98664 0.65526] \n", "\n", "Now with precompute as False\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "5ef22ff44ea3441192ae23b85f5069c4", "version_major": 2, "version_minor": 0 }, "text/html": [ "Failed to display Jupyter Widget of type HBox
.
\n", " If you're reading this message in the Jupyter Notebook or JupyterLab Notebook, it may mean\n", " that the widgets JavaScript is still loading. If this message persists, it\n", " likely means that the widgets JavaScript library is either not installed or\n", " not enabled. See the Jupyter\n", " Widgets Documentation for setup instructions.\n", "
\n", "\n", " If you're reading this message in another frontend (for example, a static\n", " rendering on GitHub or NBViewer),\n", " it may mean that your frontend doesn't currently support widgets.\n", "
\n" ], "text/plain": [ "HBox(children=(IntProgress(value=0, description='Epoch', max=30), HTML(value='')))" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "[ 0. 1.12314 0.95745 0.66409] \n", "[ 1. 1.07291 0.93583 0.66964] \n", "[ 2. 1.0849 0.93277 0.67599] \n", "[ 3. 1.03306 0.91303 0.68145] \n", "[ 4. 1.01905 0.88995 0.69058] \n", "[ 5. 0.98558 0.89072 0.68849] \n", "[ 6. 1.02736 0.91853 0.67559] \n", "[ 7. 1.0194 0.90845 0.68353] \n", "[ 8. 0.99881 0.89167 0.6869 ] \n", "[ 9. 0.99231 0.86899 0.69524] \n", "[ 10. 0.94204 0.84914 0.70357] \n", "[ 11. 0.91504 0.83937 0.70585] \n", "[ 12. 0.89167 0.83442 0.70883] \n", "[ 13. 0.89308 0.83453 0.70982] \n", "[ 14. 0.98872 0.88613 0.69048] \n", "[ 15. 0.99674 0.88223 0.69593] \n", "[ 16. 0.97349 0.88411 0.69276] \n", "[ 17. 0.9857 0.87319 0.69782] \n", "[ 18. 0.96493 0.8684 0.69712] \n", "[ 19. 0.94969 0.85978 0.69901] \n", "[ 20. 0.94785 0.85255 0.70218] \n", "[ 21. 0.92961 0.84641 0.70992] \n", "[ 22. 0.90159 0.83513 0.70675] \n", "[ 23. 0.89571 0.83458 0.70863] \n", "[ 24. 0.87042 0.82623 0.71111] \n", "[ 25. 0.85979 0.81458 0.71696] \n", "[ 26. 0.82356 0.81444 0.71647] \n", "[ 27. 0.80551 0.81218 0.71875] \n", "[ 28. 0.80451 0.80461 0.71845] \n", "[ 29. 0.81771 0.80785 0.71935] \n", "\n" ] }, { "data": { "image/png": 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7bZ4nIiLyNAZWteiy3s2RPicF3S2675zRtEE99GkVrTl2OqcI6dkF6PDkYqSmX9C97sT5IpfVoTbtzLiIKNUA/4pK64Bw7aEsd1aJiIjIYQys3OCXuwYhLjIU713XxyX3+/muwfhclWj0i7//wYhXV6O0vBKHle7GGwa0wu3DEk1lcnW6CL3R2dwS5BaXm/aX7z9rVeY/n212Z5WIiIgcxsDKDYICA7DliTFI6dHUZfcc0TEer1zVAwDw4ZojVuefvqQrHp/U2RTMHclyfnxXbVN3Vya3MWS1r2uzGomIyL8xsKrDhnWIs3nOuL5gcKAhvcMPqRluqVNNSCmRMGMh2jy2yHSsQ+NIm+VvHFD1ODMiIiJPYWBVh8VHhtotk9ymEQBgSPtYOyU956uN/2j2U7o3xTOXmpOhllVUoryiUlO+quSoaoWl5XVm4D4REdV9DKzqMCHsJxsNDTb8Fc9ZfABFpd65sLHlTL/JPZoiMEAgJMhQ94/XHcV3qSc0ZdSJRI9lF6CiUmLNoSxNELVi/1l0mfkn5v2VXnuVJyIiUmFgVceN7GjdHfjG1T1N2yGqTPD7Tufo3qO4rAKnczwza1CvNcmYvT6lu2FM2stLDuJzi+CosMTQEjXhzbUY+epqtH18EW76bDNWHzTPGJz2RSoA4NcdJ2up9kRERFoMrOq4l67sgf+b0AlvXt0LV/VtAQAoKDG3TAWoltAJCtD/6+7x7FIMfHElPll3FB+sth4IX5sOnbUeVD9cGTv2wJj2pmPG2Y43KXm88kvKUVxWiQNn8jTXZlwoBABUqtI07MrIYXcgERG5BQOrOi4+Kgx3jmiLy3o3x4yJnZDSvSku7dVMU+ba/i0BADfN26wbYJSWG8YvPb9wP15acqD2K61Spho7BQDzbx9g6gJs3ai+Vfnx3ZoAMASPpRbXAsB+JdBac1ib6+rnbWy1IiKi2sfAyofERoTivev7ICosWHO8X4IhdcHFwjK8uzLN7n301h+sLUUWg9AHJDaqsnx0PcOSPvklZSgptx4z9s2m4/h5WwZOXtB2bR52wXJCRERE9jCw8gN9WjU0bR/L1q7Fpxec/PujDboZz2vDqYuGAOjHOwbi0PMTrc7Pu7mfZj+mviGwOl9QZmpps/Tg9zvRMFy7pmJBSbluWSIiIldiYOUHEmLNXWqNG4Rpzlm27BgtcNOA7/vn7wAAhAUHmroA1SJUy9sAQMP6hta4c/klKLERWAHAm8sPafYlOMaKiIhqHwMrP7H7mXEAYDU4/e8j53TLP/j9TmTnl9R6vYxstZDVCw7U7IcGBSIyLAibjp3H6NfW2LyfZddfoAOpKYiIiJzFwMpPhFkEKEbNosN0jwPWQZir5RSa1y/sZmOh6vAQc73vG22YJZhXXI71adkOfcaCuwcDAEor2GJFRES1j4GVnwgO1P+rnvp5qs1rzuQWWx0rLqvAU7/u0QRFNdXzuaWm7cAA/Ral8BBzV+CDYzvollk6fRg6N41C12ZRVud6tGiAhEbhpjFWfx/JRsKMhViy57QzVSciItLFwMoPGVMu/LbzVJXlmkRZt2b9sv0kvtr4D15fdrBW6mYpLNj+KxoVFozF9w/FbUMTrc4JIVA/NMgUWL257DAA4I6vt+HE+UKH63HifCE6P7UEY1+33f1IRETEwMqPNI4yrC1YUl6JRbtP475vt+uW66+kZ1iy54zm+PJ9Z/GLkg/KMk2CMzY8NsrmOcvUEQDQu1W0Zj9SGeA+qXtTXJ/cynw81HC8fmgQ8kvKMeuPfdicbk4lMfTlVQ7X8fL3/0ZRWQXTNnipotIKnNVpYSUicjcGVn7kjuFtAQBL953FXf/bpjn3za3J+PXuwXjvuj748Ma+AICTF7UzBm/9MtUUmAi4ZjB4zxYN0LRBPZvnAwIELuvVDO9d18d07Je7BmvKGMdhhQQF4IXLu5uOxymLVOcWlWHTsfP4dP0xq/vP33zcoazs7hzIT9V3zdwNSJ69wtPVICJCkP0i5CsOnTVkJd+gMxNwULtYAECvltrWICml7mLPgYHOBVbGjOujOze2W/bNa3pbHVv98AjkFZcjK7/Yqn4Pju2A15cdwoJ7DAGY5bI3ajN+3o0eLaLRRWd8FtUNFZUSOzP018EkInI3tlj5kUFtDcFTVp629WXWZd1sXnPf/B2QUlotPeNse1VukWHwe4N61l19jkiIrY/uLRpgVCfrwOzeUe1wdPYkROp0I+qZ9PY63USp5J0uFJRiwY6TWLDjJBJmLMSaQ5mmc+U6yxwREbkTAys/0qlJJABg+f6zpmPt4yNw44DWNq/5fecpvL/6CC5azAJ0Ni1UjpOBVVWEEJrFp+ffPsDuNUNf0h9vtepAplWyVC7o7Fn3frsd98/fYUouq57Z2u6JxZ6qFhERAHYF+pX4SOtZfgEOREiv/HkQX234R3PM2diiNgMrS3rrDy6dPgzj3lhr2s/M0x9DdcvnW6yOlZRX2swLRrXP0RxmRESewBYrPxJVTxtHx9QPwXvXW49fAoC3ruml2bfMaWVvVuD6w9nYfzrX5nljYBXlhsBKT4fGkZg+Rj8vltGjP+7UPW7sxiTvc/OgBLd+XmFpuWm9SyIiwIHASgjxmRAiUwixx8Z5IYR4WwiRJoTYJYToo1eOPM9ykPfmx0ejXXykbtkRHeOrvFdhSdWB1Q2fbsLEt9ah0sZSNeYWK/c0mu59djzuGtFWc+z+Me3xZEpn0/6mo+fw4ZojSJixEHnFZfg+NUP3Xpe//3et1pVqLkNZ+/J8QWm18pTV1NUfbcSgOStr/XOIqO5wpMXqcwATqjg/EUB75c/tAD5wvlpUW4ypCV64vBuCbGRjBwxddMdenGTzfEFpuc1z6jFI5wtLdcvMXrQfgPtarOqHBuGCUpco1cLOl/ZqZtq+eu5GzFl8AADwzG/7rO5hzJ918mIR7vt2O8daeYC9Z758/1mUVVSiz6xl1cpTpr7/qFdXO5yZf/dJw2zEizbecyLyP3YDKynlWgDnqygyBcCX0mAjgGghRFNXVZBca+VDIzDvln64Ptn2gHUjyxauW4e0wc93DULPFg1QVGq7xapAdU6v3NGsfJzNNYxpcscYK6NbBrcBAPwrqaXpWEx4iG7Zn7ZZt1bdM7Kdafu3nadQqPxs5/JLkJZpO6UDuc6byw9r9v+d1MKqzBd/p5u2c6rZbdvmsUU4ml2AO77eZr+wSl6x7V80iMi/uGKMVXMAJ1T7Gcox8kJNGoRhpJ1uPlsW7DyFPq0aIi4yTBM8WWa8zrhg7oKZ91e61X3UiUdDg9w3CLxD40j8cMdAzJjYyXQsKDAA/zehUxVXmVkuFP3n3jPIKy7DuDfWYszra21cRa502CKAvXdUe6syzy/cb9quTjb2Cotua8v9qgx9eRXSmJWfiOCawEpvWpnuv0hCiNuFEKlCiNSsrCwXfDTVtrtHmsclDVGSiK45lIn9p3NRVlGJVQcykTx7BVaoUjhMeHOdafufcwVW9yxQxme9eXUvq3O1rV9CjNWC1B0aR9i97vNb+iEuIlRz7MHvd6L7M0txrsDQDVTswmV+yFphaTkW7dYusxQdbm7xTIytb3WNXotpTmGZVV424/3VzlUz2/69NpaIIiL/4orAKgNAS9V+CwC6q/tKKedKKZOklElxcXEu+Giqba0bmb+sXrmqBwCgrMIQN+cUlZnWG/xz7xkUl1Xgk3VHNdevOJAJSx8rZSwDHE8Z1SkeC+8bggfGWLd+3DwoAcdenIQRHeM1ubH0PPSD/ixCW37ZnoF5fx3j+BwHqXOp/XTnQLxyVQ9EhgXj1X/1xC93DdIEWUaBFn9n5RWV6PncUkzVSaNhGYTZm/m6+qD23e5jsYalM1LTz5sWDieiusUV32y/AfiPMjtwAIAcKaVjIz/J6/VWlriZOriN1WD3v4+cQ0yEYYxS12YN8On6Y5puGFsmdTcMwRuQGOPi2taMEAJdmzXAA2M6YKoyDsvo4Jk8zVizZy/tqjnftIE5N9jK/dZBpC2VlRLTv9uJZ3/fh9u+TLV/AaG03NzK1Ld1jGms3FV9W6B3q4a646k+WH0Ey/aZW1O3pF8AAKw7bMiF9fwf+5AwYyGu+uBvvLlCO37LXmB18zxtcPa/TcddksH/fEEprvpwgykBKhHVLY6kW/gWwAYAHYUQGUKIaUKIO4QQdyhFFgE4CiANwMcA7qq12pLbtW8ciSOzJ2HmJV2szt337Xb8c84wnurp3/bilT8P6t7jl+0ZWH84G/tO5eJoVj7WHTZ0A4cEeUeLldrMS7pg1hRz8NStuXYNwfFdm2j2T+eYx/AUlVVg3l/WCz3rUc+qNH7ZU9X0uu/U8lUtPO3jDd27C3ef1gSuJ1Tj/8oqKvGJsjB36j8X8M2m45r7zfpjX7Vnfq495Hzy0rxiQ4CoXqqHiOoOu0mEpJTX2jkvAdztshqR17HsTnnmki545ndtOoK4yFCrNQiNpn+n30XmzoHr1aFuobq6XyvNuSYNwpA+JwVPL9iDLyyy0QPAs7/vM80+rMqWdO1E28pKaber0d+VKC1Wjkw2uFCoPxuwRNXqdcFGF2yHxhE4dDYff6WdQ1FZBcJDzP9MFpSU46O1RzG+q3mNylUPj8DIV1cDAG77MhXzbu6HkZ1qNkEEMOfiMna5E1Hd4n1NBuT1BiqLOatN7qHNsDGmc7wpZ5Yt3thiBQBBqgCnXbz+wPZnp9heuNoRz/+h7TL9ckO6U/fzdYPnrMTkd9YDMK95aam4zBw0DWmnXcZIr4uu/wsrdO9zpyqR7DCLXFhdn/4Tb684jJS315uOtbEYNK+3DJKjLnlnPa7/ZJNpn4tKE9U93vnNRl6tdaNwq2Pz/krHYNWXWUhQQJWLH3tz48xlvR3LFqLOa6VmObtMT8P62vxZ+08zD1ZV1Ck6MmwsIfPJTUmm7dlXdNec6/jkEgBwaEB4jxbmQejZ+VVPLLjcxruiniXrKCmlKeGoUbsnFiO7mrMTicizGFhRtdlagPivtHMAgJTuTfHI+E7o0SLaZutCNVIEuV1YcCDS56QgfU5KleUeGqe/1mCXmX/a/YzRnbVdRd+lnrBRks4XaIObwW2tF9UGDKk07h7ZFjcOaI3wkCBNhn2jbBvd1WqWSWNzCstwOkc/mLM1WH3aF6koq6isVi6sY9nWqUkAYLYDE0KIyHu4Z6E28jkrHxqOI1kFujPa3rvevFxkdb5Y6hohBFY8NBwLdpzC0Pax+NeHGxy+9mJhGUKCAjQz3YrLKmwGrf7MsjusWXQ9m2UfGW8ef7Xq4RFYsvcMnvjFsMyplNI0WF0tJDAApcpnpPRoarUawIhXV+FCYRkOPT/R6lrLvFpq7Z9YDAB2A3QjvboBQJkP/z9E5IvYYkU1khgXgbFdGuPd63prjl9h0TVy2MezUbeNi8CDYztY5eRKmLEQCTMW4vVlh0zbahcLSxETHoK3rzU/v683Wg+GJ6D/bO1YKEeDz0YRobg+uTVilcSubR5bpFuuVBW43ZDcGgEBQtONbRwIvz7NOqmxcWHvb25LtlmPqpbV+T71BDLzDDNL/9ipm/7P5kLmROSdGFiRUyb3aIZpQ8yz4GwNSI8M9e3G0W7NoqyCSgB4W5UbaY9q/ExRWSXCQwJxaU/zItCO5ACj6ovU6RJsEmXIP/bjHQNNx67p1xIDlW7GAYmNrMYSTv3cunU2Qrn3oLax+Oa2ZE2gbLTzxEXdemXmFuPRH3eh/wsrkDBjIa7u11K33MGzHH9HVJcwsCKnPTXZnONq/hb9sULvXt8Hqx8egR0zx2Lrk2NwdPYkd1XPLYICA/C6nSV6SisqIaXEkJdW4vedp3BUGVMT4eNBpzPUY5u+uTVZtzvOHnUSVyNjK1Wz6Hro38aQqLaJRblAoT/DYtqQNmjR0NAdGaZKGTKobawmUDYKCtS/j2UXn/qXkiv7tDDtcw1CorqFgRXVqnk39wMAdGkahYTY+ogOD0GjiFC/zNl082eb0eaxRaY8RUY7Zo6t1n2klC7J8F0XPPXrXtN2aHBAjVJ0PGORLR8wB1uRYUG4Y3giAKBXS+2SNHfZmPV5z8h2mKAkitXrlhzeQbtc166MHM0swfMFpfg7LdufC8AnAAAgAElEQVRqbckNR86Ztmde0gXLpg8z7VdnrOK24xewZM9pdiESeQh/VSaXura/tjtjZKd4hwfv+oI/7h1iyrdkKbdYf6q/eqmg/JJyuy1Yry49iPdWHcG2p8YixiJtgy+pqJRYrgpIOjTWn2FqT4fGkfjoxr7471dbAQAjO8bhpSt7YHP6eUSGBWNUp8bY+Nhoqxar5Db6Sy5F1QvGfWPaQwjgyr7W3b+X9GyGNYfM47HmLD4AwNAd/tC4Dnh92SHdd2Hb8YuIjQhF6pNjAEAziP7HrSesktXacsX7f2v2Hfn/b9+pXMRHhZrGoxFRzbHFilxq5mTr1gF/0q15A2x4bBS2PDEGKcqaiNPH6KdluG2oeWzaLYMTDNc/bT9Vw3urjgAA+r2w3Mnaere2j5sHm/9+zxBEhlkvsuwodZDyyr96Ij4qDJN7mLvtLIMqAGgZY52vrV5wIAIDBKLCgvFEShfd1QOu6tsCANDM4p55JeV45vd9NgNsADZzVjWqX/OAJ2HGQpurIhhNensdBr24ssafQURmDKzIpUK9NJu6OzVtUA9xkaF497re+P6/A3HfaP0upeljzQHXkj22p+3b4supLCw1i7YOfKojOtwcWDnTKlM/1LEZielzUvDdfwfaL2jHD8rgemcHsB+u4nrjeoilFZWYv/m4zXJE5Bh+C5JLPDyuAwa1beSXY6dsEUKgf5sYzdqDavVU43P6tm5o2r7svb8AAF9tSEfCjIVW0/Ut1270RZbjj0KdzO8VXa9mXaY/3TkQNw1sja7NDItx28vErtYgvOYtbEbRSkvbK38exNncYqvzxWUVuKha89BWsB2s+oWnslJqxl/lFplb0Gb8vNvpOhP5OwZW5BL3jGqPb26zvYQNmR2ZPQn7nhuvCbjeubY3eiqDp3ecuIjc4jI8tcAwcDvjQqGpVWHVwUzTl2evltHIsbHYcF13ymLZmvp21p20xzLpp6P6to7Bs1O62V33Uk+Ug12XIzrG2TynHhyvt55kp6eWoNdzy0z7F20sLF2mJKL9aM0RJD6+CImPL8Iv2zMAAGfztAFbpk4AR0SOY2BF5AZfTzMnkAwMEAgP0Q5QF0Jo8h3NW59u2k55ez1eX3YIAHDLPPMCvztOXETP55bWUo09S73Ez3+HJ9ps9XNUWLBz/9QFBdTeP5XXVDEoXR3QVRUcGtenrJD6LVY/bM2AlBIvKgPpAWD6dztRXFaBpxfs1ZS1TMhKRNXDwIrIDYa0j8Uj4zvi1X/1dKj8G8sPafY/XHOkNqrltQYkGhJ1fv/fgXhsYmen7yeEwLQhbTBTlXOtOjYcPWe/kB3GCQpqz1zSRbMw9IFZEzTn1QH47EUHsDtDu0izUUlZpea/ln7ZfhJFZdYpOjo9tQQbj9n+2TYePYdX/zxo8zwRWWNgReQmd49sZ5oxpufGAa1tniur8J+B6gBwNsfQHeXoYHFHPDW5C6aqVgmoie7NG9Touv/dmoxh7a27/H7dcUozE9AyL5blZJBL3l2vm5+q96xlOHw2D68tNQRBD4xpj/Q5Kdg5c5ypzNEs/UWebTRyAQCumbsR765Ks12AiKwwsCLyEk+kVN0yY1xv0HKJlq3/XLB5zamLRaa16OoS4yBqbwso7x/dvkbX9WoZrTvp4JbBCaauQGMyXTW9ySCJjy/CH7tOWQ1mv2buRvy6w7De4OqDhjxa9VRdic/+ru3ys6TuarRc+Npyn4hsY4JQIi8RFhyIg89PQMcnl1RZrkXDcIQECuxUuoU2HMnWzCpUGzTHkJuoriZpbaksHeNp6XNSUFEpqz0j84Ex7fHm8sOoFxyIoe1j8WRKZwxIbIQmDcKw8kAmpvRqbrp/ddzzzXarY+cKzAPXk5T3QZ2pfku6OQAf0i4W69OyTfvdmkfhoXEdTWP42j2xWHPvorIKRAY69nt4TlEZ1h/ORkqPpg6VJ/I1bLEi8iLqhJOPjO+oW+bfSS3w692DTfsXfHRmIAA08qJM4DVJc/HAmA5In5OCgAABIQRuHZqIbs0bIDYiFP9O0l902RWu6V91lvaw4ED8dOcg036AEBjZMd5mV+fBM1Xn0Vp3OAuvLT0IKSV6PrsUd3+zDQt2nDSdLyqtwA4bi1ET+RoGVkReytYX76hO8RBC4KMb+wIAEuPqAwAy84o1a9KpyaoG0niZE+cLPV0Fr9Iyph7aKn/HjmoXH2Ha1huwHxcZgp4tzEGU8fWwlVbiqg83VPl5N366Ge+sTEObx8zZ8u+fvwMZFwx/l51nLsFl7/2FY9n647yIfAkDKyIvkz4nBelzUhAXaW6tUQ9ibtnQsNSKsbvntaWHkFNYhvFvrMW0L1J1F2gutjFbzBudzql7Y8Jq07pHR2HhfUNrfL3lbMQHx3bA45M6IygwABO7GRaT3n3S0K38qc44L2cMeWkVJr+zzrR/hn+35AcYWBHVAQefn4gXLu+GP+4dYhrQXF9ZrPl8QSl6PrfU1CXY6SnDGK2bPttsul4vuaS3MuacmjGxk4dr4j3CggOx6fHRuudWPjQc47s2tnmtZQ6w+0a3N627aJnKoqoFwNMyzd2BhaXlmL/5uEMtoXtO5pq261LLKVFNMbAi8mJbnxyDbU+NBQBcn9wa3VRjYGytyygl8O7Kw1hzKMt0TJ0Y0tsZW9e6NatZagNf1TgqDP8dlmh1PDEuAh/dmIQjsydhdKd4fPKfJKsyA5W8YJaaKmsw9lKy/qs9Mr4jXr6yh2n/X6ruwEd+2IUZP+/G6NfWVGvslK0EpkS+hIEVkRdrFBGKmPr669xVlY381aWHbJ7zdqdzDMvZhDqZLd0XPTaps6aLWC0wQODTm/thTBfr1quXr+qBTk0isXT6MM3x4MAA/HDHQHx+i3UX4OmcIk3eNfUkiYW7TwMAjmYX4LL3/kJ71Ziun+60vfi0Ohkqka9iugUiPxDtggWB3eX++TsA2M4i7u+Gd4jDj1sz8PJVPRAV5tg/4S1jwrHkgWG65/olxGj228VHIC0zH2FBgbp5tI6fs55ckK8KmPq00k/9AQB5xQysyPfxV0KiOuzwCxNN27a6ewBgdCfbY3C8la2WGX/3/GXdsPj+ofh3UktM6Ob6XFHG2abGHFuWVhywnnmqnnBQVUvqIz/ucrJ2RN6PgRVRHRYcGICHxnYAAHw1rT92zBxrVSY2IrROdsF0bBLp6Sp4pbDgQHRuGlVr928bF4H0OSno3kI7xq15tCFZ6ys21g4c37WxKdHpgVkTNCsEDG5nO+gn8jUMrIjquHtHG9aFCwoMQHR4CGZN6ao5n51fgiV7z3iodlTXPaXkwTp50TD2rbDUnM5jaPtY07Z6ncOw4ECse3SkaYyWuvWrQmetQ1sW7DiJOYsP1Mllmch/MbAi8jH1VVPmn7+smwdrUjOxESFoGeMdS9kQME21cHVxmTmoOvbiJHxwQ1/TvuUs1ejwELz6r57Y+fQ4TbLbfadyNeW+3JCumw4kPbsA98/fgQ/XHMGkt9bhnRWH62TLK/kfBlZEPua4KnN5r5bRuLZ/yzo1Xik2IhSdm9ReVxdVn3HYlDqwEkJo8l6V22iJMi7ufO+odgDMMwqNZi7Yi5kLrBeIHvHqatN2dn4pXlt2CK8vq7uzXcl/MLAi8jHq7pn4yFA0qBeCrLwS7D1lyK5dWY2uGE8orahEsI0cXeQZL17eHQAw7o21Nsv8vO2kzXOA4V0EgA/XHMG+U7k4dDYPS1Vd1Nn5JXbrkZlnvwyRp/FfLyIf07e1efp8o4hQ0xI3KW+vx2tLDyLx8UWmNdz+Ssv2ulaA8gqJ4BoseEy1JyjQ8FXhTGBzw4DWpu1Jb6/DuDfW4vavtpqOLd5zBifOFyI9uwDL9+mveXlcZx3JlQfOIjOXY7DIezCPFZEPCwwQOJdfatp/Z2UaACA9uxAtGobj+k82AQCm9GqGtnERuvdwt7KKSgQH8nc+b5JTVKbZ/+2ewVZl2sRWvVB0VWkYACC6XjCGvryqyjI7LbK8f7v5OB77eTcAmGYkEnka//Ui8kHvXNsbX09LBgBcl9zK6nx5ZaVplhcAjH5tjdvqVpWi0gqczinGwbN59guT24yzyObeo4V5CRzjBImRHeOd+ox7v91e7WuMQRWRN2FgReSDLunZDEOUsVYDdBKH3jxvCwbPWenuatm1dJ9hzM2ujBwP14TUWsaE2zx3Xf9WmDWlKx4Z39HufYwD2R315dT+GJAYY7+gIiuvBP1fWI6MC4WoqJTIzCvG//24C4WlnE1I7sPAisgP6K0FZ+mrjf+4oSZVU88yI+8yqK1+ks+AAIEbByagXkig7nm1zU+MrtZndmwSiY91FpW2pd8Ly5GZV4IhL63C1M+3oP8LK/Bd6gm8sHB/tT6XyBkMrIj8QHxkmN0yT/26xw01qVppuWF9wCUPDPVwTcjSlF7NnL5HaFAgru3fUnPsOYuEtmphwYGIDAvWjJ/6fecpq3JCwDTr1WjNoSzT9v82Hce6w1mWlxHVCgZWRH6ggQOLME/q3sQNNanaKWXNObZceZ9/J7XExG5N8Ps9Q5y6z4tX9MA3tyab9sNDtH/X6paxsGDrr6iHf9gJwByEA4CUwA+pGVV+7o2fbq5RfYmqi4EVkR+wNbblv8MS0UVZd27R7jOQsuocVycvFuHAmdwqyzhj1h/7AACRodUbi0O1TwiBD27oa7WGYE2o1zq0zNg+VjVQPkQ1O/SSnoYWsxIloCour9Bcl2sxc1FPWUWl3TJEzmJgReQH6tsY/zJ/ywksUE2db/PYIpxQ5Qr6+0g2Zvy0C68tPYjL3vsLg+esxIQ319V6fSPC2GLly9TjsXKKypA+JwUjO8Zh9uXdcfOgBNM5dYqGRIt0Duos8ADw8/aqE5QCwJvLHc/ZVlEp8cm6o1afQ2SPQ4GVEGKCEOKgECJNCDFD53xrIcQKIcQuIcRqIUQL11eViGpK/QUVomohWPXwCKucUdfM3Wjavu7jTZi/5QTeWZmGHRY5hGrDmM7xaBgejEAmCPVp6laqSd2bAgDm3dIf1yW3Mr2rlq9Az5bmlrKi0gqUlBlan5JaN3T4c/9KO1fl+U/WHUXCjIW4UFCK33eewvML9+MNL0ugS97PbmAlhAgE8B6AiQC6ALhWCNHFotirAL6UUvYA8ByAF11dUSJyzqMTOiIxtr4pvxUAxNQPsSo31iJnkZ6Sctf9Fn///O14b1UaSsorsHx/Ji4U2u/SobpNHejrvYObHh+Nvc9O0Bwb1cn8Xp64UGhqSZrQzfGxgfZ+OXhemT143Seb8MB3OwAAH6096vD9iQDHWqz6A0iTUh6VUpYCmA9gikWZLgBWKNurdM4TkYfdNaIdVj48Av3bxGDnzHHY/cw407ngQPMXXUl5BY5lFyBhxkKb98orNucFKiqtwInzhdh09BzOF5QiM7cYk99Zh9ziMry/Og0JMxZaZe5WW7DjFF758yBe/fOgkz8h1SVPpnTGy1f10D3XOCpMN31Du3jD6gCZuSUoKDUEVvFR5hmvE7s1wbEXJ2HdoyPx0Y19TcfvHtnWtL27ihxpzaPrAQD2n9YfR5hXXIaEGQvxm87MRCIjRwYyNAdwQrWfASDZosxOAFcCeAvA5QAihRCNpJRVt7sSkUdYzhJ88YoeptlWJy8W44WF+6q8vqCkHLERhkV1U95Zh6NZBQCA2IhQ02K6n647hrdWHAYALN17Bv9Kaml1H3X294/XHavhT0N10a1DE6t9zQfX98HYN9bihk83oXGU4f0zBkMAEBkWBCEEWsaEo1QZqN6teRQeGd8J7606AsDwztkagK9+H42CVH2Spy4aZq2+tPgALu3pfPoJ8k2OtFjpDXawnDr0MIDhQojtAIYDOAnAKtWtEOJ2IUSqECI1K4s5RYi8hbrFau2hLCzfn2na/+9w8xfg45M6AQDyS8px+GweLhaWmoIqAKagCgDiIkNN24/8uEv3c1cdyLQ6VlVeI/JvjSLM79TZXMO7Fq36JSFINV4wMbY+npjUGfNu7q+5R05RKfTYmhHbKMLcVXmh0HCtXgBGZORIi1UGAPWvmi0AaNpBpZSnAFwBAEKICABXSimt2lullHMBzAWApKSkqud1E5HbVLUA8/AOcaislOjfphHqBRu6Zw6czsNDSguXLU86kHA0SicNxIgOzq05R74rWud9aRgegi+m9sdNn23G/43vZDouhMBtw6xbxd5ffQRX97NeP7PIxuw/9ZJQ6okdRLY40mK1BUB7IUQbIUQIgGsA/KYuIISIFUIY7/UYgM9cW00iqk3dmjfAukdH6p5rUC8YT6R0wdgujU2/sdsLqhyVV2w99krd0kWkFqAzWzS6XjCGd4hD+pyUKhPhLn9wGACgSZT+KgT5xfrrCQYIzlCl6rEbWEkpywHcA+BPAPsBfC+l3CuEeE4IcalSbASAg0KIQwAaA3ihlupLRLWkZUw4flPltDIKCzYPIh7T2f6MQVsuFFh3weQWWX+Z6WXbJtITGxGiG2zpaRcfCQDYdOy87vmDZ/N0jxeV6rdkuXJmLPkWh7LwSSkXAVhkcWymavtHAD+6tmpE5G49WkQjLjIUWXnmsVLqxIyOLLRry6GzeUhO1C7kq9diJdhCQFW4b1Q7vL0yDQDwxtW9anQP9YzXn+4ciL/TzqFCGWPVqUkkmkXXw0pl/N+ujIvYfzoXTaLCEB0ejItKOpC84nKERtj+/8H4Gb/fMwRrD2fhrhFt+W77CaY3JiINdZdI60bhTn8Z3Da0DT5edwxBgdb3eX/1Ec3+1MFtnPos8n0PjOlgCqyM6RecceUHGzT7827ph6YNDDMNE2YsxKmcYkx8y7DaQMuYeqbAKiuvxDQztiqXvLseAHBFn+am+5JvY5s7EWmoB/H+prPg7iWqaeZTehm2L+3ZDClKBu2GFuNcjJm1Lbv9cnQSgU4f276GtSZ/ERAgcPD5CVg6fVitBCpVLQB+4rx5NuDFKhLZluusSWicxUi+j4EVEen6+a5Buos3/65KjvjSlT2w4qHhePva3khOjAFgyNy+9ckxGNM5HodfmIiG4Ybp6ucsxlj1fG4pACC5TQyeTOkMoOovNSKj0KBAdGgcWe3rYiOss7xbigxzbAHwikrbE9vPF1qPJ7zsvb+QmWvIEacXeJHvYGBFRLo6N4myWyYsONCUqiFEySFUWl6JRhGh+OSmfggODECM8mW25pA5d536S6m8UuLWoYlIn5PCMShUq7Y8MaZa5dVrGlqqavD6s7/pJ9jtP3sFPl53DDszan/dTfIcBlZEpPHLXYNwy+AEm7Pzru1vnUEdAJbvPwsA+HWHdrkPY8D1+85TOHG+EADQ9nHzXJit/1xwus5EjlAH7o6M53t0QierY9/cZlh4pKRcv9Vp76kcLNx9usr7MoWDb2NgRUQavVs1xNOXdLXZevTIeOsvGwCYMdFw/MMb+mqOB6uyYQ99eRXm/cWla8jznprc2eqYepUBAJg2xDr4MubBKraRUPTX7SdN27biJ/4y4ds4oIGIqiWmfgh+uGMgujTVdhW2i49E+pwUq/KBFnmGnv1d202S0Cjc9ZUksuG72wfgbF4JhBCYc0V3tGoUjozzRXj0p13o3tx6DcHxXRvjz71nTfvGlCPqFqvj5wpx7FwBikrLNWte1g8JQn6Jda625xfur9FaiVQ3MLAiomrrlxDjsnvdN5ozAcl91LnUrulvWNpGJkq0bhSO/m2s3+s3ru6FNQezcOf/tgEAwoIMgdXMBXtwbf9WeHnJAau0IUZ6QZWRlJJjCn0UuwKJqNb9cMdAq2OPTeyE9DkpuKJPCw/UiMhMCIHkxEa6gU54SBBGdTavX2lssSqrkNh49JzNoAoAPr+lHwDgm1uTrc6VVzGr0JbKSolhL6/CT1szqn0tuQ9brIio1lnmtgJsL3pL5G1CgwJx+7BETOjWRLPE0/FzhTavefbSrhjRMR5HZ0/SXXanuKxCM/7QEReLynD8fCEe+mEnruzLX0i8FVusiKjWtWhoPY4qoVF9nZJE3unxSZ3Rp1VDzbFHf9qlW/bfSS1w06AEAOaFo4e2jwUAPH9ZNwCGJXGqq8+sZdW+htyPgRUR1bqw4EDsnDkO+54bbzo2wGLdQCJf8dKVPayOfX5Lfxx6fiIaK7MKs/Ody8T++tKDTl1PtYeBFRG5RYPwYISHmEcfNHIgCzaRN7pxQOsqz+uN1QoMEAgJCkBcpGF9wS/+/qdanymldkyWcb1E8j4MrIjII6o7voTIWyzYcVKzv+aREbhVJ+eVHuOyOj9ty8Crfzre6lRYaj0mMafI9nqF5DkcvE5EbrVj5tgajS8h8hbPTumK6d/tNO2HBgXiycldcHmf5jYzshupxxu+uyoN94xqpxkQb8vm9PNWxy4UlOqu50mexV8ZicitosND0DKGSUGp7urYWJscNzzUEBh1bdbAaoC7PZ2eWmLaPnmxCAt2nMT4N9ZarUV4y7wtAIA3r+5lOlZQyl9QvBEDKyIiomro3DTStL3mkRGICnO+1aiyUmLwnJW4f/4OHDybh7M5JXjs513YnZGjKde6UbgpL1ZukSGw+nrjP0h5e53TdSDXYGBFRERUDUIILJ0+DFufHIPWNUgb8uvdg62OZeZpZwk+/dsefLv5BC55d73meGRYECKVQC6v2DDG6slf92DvqVxU1iDpKLkeAysiIqJq6tA4Eo0iQmt0ba+W0bhzRFvT/sAXV2DAiys0ZVYdzNLsGycatm5UH5FhhuHRJy4U4UxOsamMvfFd5B4cvE5ERORmIapZsadVwZEtXZtFoXFkGIIDA0yB1aw/9mHWH+ZFzYvKKkxL7pDnsMWKiIjIzUZ1irdfSHHobB72nMzF/tO5AGDqCrTEZaK8AwMrIiIiN+vZMhqf/CfJ6vjjkzpZHRv3xloAwCmlZSskKAChQdZf37tOXHRxLakmGFgRERF5QMP61i1Ptw1NRPfmDexeqzee6s7/bQMArD+cbZWugdyHgRUREZEHJMZGWB0TQuCHOwbW+J6rDmbihk834clf9miO7z+di4wLhTW+LzmOgRUREZEHGBOLWgoLDkT6nBTMvbGv5vhDYzvYvacxkegPWzMAAF9uSEfCjIWY+NY6DHlplXMVJocwsCIiIvIA48zA+MhQLLh7MObfPkBzPrlNI83+rUMTTdtD28eatm11HRaXVWDmgr2aY/M3H8euDI7Fqk1Mt0BEROQBQggsmz4MTRqE6c70axCuPaYesP7VtGS8sewQbh3aBhGhQUh8fBGkRX7Qbf9csLrnjJ93AwD2PzcB9UICkTBjIQAgfU6Ksz8OKdhiRURE5CHtG0faTJ8AAAvvG2LaDggQmnPTx3ZAZFgwhBB48fLuVteGBtv+it97KsfmOXIOAysiIiIv1bVZA3xzazJmTu5SZblr+reyOvbiogM2y288es7UWgUApRazDA+cycWW9PPVrC0B7AokIiLyaoPaxWJQu1j7BS2k6nQFGr269JBmv6CkHCFBIQAAKSUmvGlY1JldhNXHFisiIiIftvGx0XhkfMcqyxSqsrb/seu0afv4OaZoqC4GVkRERD7AmMm9RwvtLMEmDcJw98h2+PmuQbqZ3QFDi5XRvd9uN20Pe4UpGqqLgRUREZEPGNOlMdLnpOC3e4YgpXtTq/N9WjXEtCGJOlcC+arAypaMC4XYdPSc0/X0dQysiIiIfEy/hIYAgNiIEM3xQIuZhUbvrkyzea+t/xgGsQ95aRWunrsRaZl5mvPFZRXo9vSfWLLnjDNVrrEle057VZclAysiIiIfU6nktMrOL7U6t/7/RiIoQEAIoHl0PQDAygOZAIAT5w0Bijrp6Gfr0zXXj3l9rWZ/0e7TyC8pxx1fb3VV9avljq+3eVWXJQMrIiIiH7PtuO0ZgS0ahiNt9iQcezEFn93cT3Pul+0nAQC7T5rzXBmDLjV11+GD3++0W59j2QVImLEQdysLRbvKQtVAe2/BwIqIiMjHTBvSBgDQulF4leU6Nok0bf9zrgCvLzOkYWioyvpeVFaBc/klmuu6Pf0nyisqcbHQukVMz7rDWQCAhbtdGwgt3H0KAHDvqHYuva8zGFgRERH5mN6tGiJ9TgrWPDLS4WsyLhSZtj+5KQkDE81rFX618R+r8t9uOYG9p3I1x6TFujoPfb8Tj/28G//ojIFKzy7Aj8pi0UavLT3o0FitSqWvc0i7OADAdcnWCVI9hYEVERERITOv2LTdNi4Cb13Ty7T/5vLDAIDkNjGmY+UVlXjw+x2ae7R5bBHeWGZOPvrTtgx8u/k4Pl1/zHTM2Mp1ybvr8fAPO3HwTB6KlTxa76xMsztW64H525H4+CJsOnrO1JIWHuw9+c4ZWBERERH2qVqf6oUEIj4qDNEWC0HPuqybafvZ3/fhbK62ixAA3lpxuMrPOZpdAADIKzaM0xr/5loMfdnxwedrDhm6Fa+euxGvKUFcvZBAh6+vbQ4FVkKICUKIg0KINCHEDJ3zrYQQq4QQ24UQu4QQk1xfVSIiInK1JQ8MBQB8vM7QqpTcJgahQYZA5Ze7BmvKNqqvTd9gdPswbX6sf334t2YtQrV/zhVYHcvKKzGldQCA1QetB8wbJSXEWB0LCfKediK7NRFCBAJ4D8BEAF0AXCuEsFwN8kkA30spewO4BsD7rq4oERERuV5ibIRm/4up/U3brWO0g98bRYTi5St7WN0j1CKw2ZJue1ai3ngrALjygw2m7ZvnbbF5vX4mLu/hSIjXH0CalPKolLIUwHwAUyzKSABRynYDAKdcV0UiIiKqLZatPWHB5m61AFVC0UX3GVq2/t2vpdU9hHA83Nl49BwWOTE7MNiLWqf0OFK75gBOqPYzlGNqzwC4QQiRAWARgHv1biSEuF0IkSqESM3KyqpBdYmIiMjVnpps2RFllvbCRGx+fDS6NIvSPT+8Qxym9Gpm9zMa1OImdA8AAAmkSURBVDOM19p49Dye+GW33fLGmX+WLFvHvI0jw+j1wlDLn/ZaAJ9LKV8TQgwE8JUQopuUslJzkZRzAcwFgKSkJP0nRkRERG4VGWo7HAgKDEB8VJjm2N5nx+OlJQfw9CVdbS6To3ZdciuUlFXip22G9AoXCsvsXlNQWo7IsGCr4yXl5tDinWt7Iz4y1O693MmRsC8DgLrdrwWsu/qmAfgeAKSUGwCEAYh1RQWJiIiodnVtbmiNeuPqng6Vrx8ahOemdNMEVfMssrjfOKA15t3SD89f1g3PXtoVfVpH694rQhXU9W3dEC9e0R2ANrt7XnEZTl005NkqKatA56ZR2P3MOFzSsxmSVfm2vIEjgdUWAO2FEG2EECEwDE7/zaLMcQCjAUAI0RmGwIp9fURERHVA12YNsOnx0bi8d4sa32Nkp3jsnDnOtD+5R1OM7BiPGwa0RnBgAK7tZ53EMzYiBLufGYfhHeJwVd8WmH/7ANRXAq0CJbCqrJQY8tIqDJqzEj9uzUBxWSXCggN0W7O8gd2uQClluRDiHgB/AggE8JmUcq8Q4jkAqVLK3wA8BOBjIcR0GLoJb5aW6VeJiIjIazW26O6riQbhwWhQLxg5RWVWuaUCAgS+u30Arp670XTs61uTIYTQzEQ0dkueuFCEqZ+nIju/BIWlhgSizy/ch3ZxEQgL8p68VZYcSlUqpVwEw6B09bGZqu19AAZbXkdERET+JafIMH4qup51zqv+bbQ5qDo1sR4Qb2yxukUn5cLFwjLkFJWhecN6rqhqrfCeHPBERETkM1rGWAc/jqRlqB9adWvU4cx8HM7Mr3G9apt3z1kkIiKiOmXm5C5o1iDMZhB1YNYEDG0fi1/uGqR7PjLUO8dOOYotVkREROQyU4e0wdQhbWyeDwsOxFfTkm2ejwyzH5rse258jermDmyxIiIiIq/RULUe4eEXJlqdv7RnM4SHeG+7EAMrIiIi8krBgQFIn5OC9DkppmPPXtrVgzWyz3tDPiIiIiLFXzNGIThQaFq0vBFbrIiIiMirJMbVtzrWPLoe4iOdz7VV29hiRURERF5l0X1DUW5jEWZvx8CKiIiIvEpYsPdmVreHXYFERERELsLAioiIiMhFGFgRERERuQgDKyIiIiIXYWBFRERE5CIMrIiIiIhchIEVERERkYswsCIiIiJyEQZWRERERC7CwIqIiIjIRYSUnlmLRwiRBeAfN3xULIBsN3yOL+MzdB6fofP4DJ3HZ+g8PkPn1dVn2FpKGWevkMcCK3cRQqRKKZM8XY+6jM/QeXyGzuMzdB6fofP4DJ3n68+QXYFERERELsLAioiIiMhF/CGwmuvpCvgAPkPn8Rk6j8/QeXyGzuMzdJ5PP0OfH2NFRERE5C7+0GJFRERE5BYMrIiIiIhcxGcDKyHEBCHEQSFEmhBihqfr402EEC2FEKuEEPuFEHuFEPcrx2OEEMuEEIeV/zZUjgshxNvKs9wlhOijutdNSvnDQoibPPUzeYoQIlAIsV0I8Yey30YIsUl5Ht8JIUKU46HKfppyPkF1j8eU4weFEOM985N4hhAiWgjxoxDigPI+DuR7WD1CiOnK/8d7hBDfCiHC+B7aJ4T4TAiRKYTYozrmsndPCNFXCLFbueZtIYRw709Y+2w8w1eU/593CSF+EUJEq87pvmO2vq9tvcdeT0rpc38ABAI4AiARQAiAnQC6eLpe3vIHQFMAfZTtSACHAHQB8DKAGcrxGQBeUrYnAVgMQAAYAGCTcjwGwFHlvw2V7Yae/vnc/CwfBPANgD+U/e8BXKNsfwjgTmX7LgAfKtvXAPhO2e6ivJ+hANoo722gp38uNz6/LwDcqmyHAIjme1it59ccwDEA9VTv3818Dx16dsMA9AGwR3XMZe8egM0ABirXLAYw0dM/s5ue4TgAQcr2S6pnqPuOoYrva1vvsbf/8dUWq/4A0qSUR6WUpQDmA5ji4Tp5DSnlaSnlNmU7D8B+GP6BngLDFx2U/16mbE8B8KU02AggWgjRFMB4AMuklOellBcALAMwwY0/ikcJIVoASAHwibIvAIwC8KNSxPIZGp/tjwBGK+WnAJgvpSyRUh4DkAbD++vzhBBRMPzD/CkASClLpZQXwfewuoIA1BNCBAEIB3AafA/tklKuBXDe4rBL3j3lXJSUcoM0RAVfqu7lM/SeoZRyqZSyXNndCKCFsm3rHdP9vrbz76lX89XAqjmAE6r9DOUYWVC6AnoD2ASgsZTyNGAIvgDEK8VsPU9/f85vAngUQKWy3wjARdU/KurnYXpWyvkcpbw/P8NEAFkA5indqZ8IIeqD76HDpJQnAbwK4DgMAVUOgK3ge1hTrnr3mivblsf9zVQYWuuA6j/Dqv499Wq+Gljp9WUzr4QFIUQEgJ8APCClzK2qqM4xWcVxnyeEmAwgU0q5VX1Yp6i0c85vnyEMLS19AHwgpewNoACG7hdb+AwtKGOApsDQtdIMQH0AE3WK8j10TnWfm98/TyHEEwDKAfzPeEinmE8+Q18NrDIAtFTttwBwykN18UpCiGAYgqr/SSl/Vg6fVZqwofw3Uzlu63n683MeDOBSIUQ6DE3Xo2BowYpWumQA7fMwPSvlfAMYmtD9+RlmAMiQUm5S9n+EIdDie+i4MQCOSSmzpJRlAH4GMAh8D2vKVe9eBsxdYOrjfkEZxD8ZwPVKVyhQ/WeYDdvvsVfz1cBqC4D2yoyCEBgGaf7m4Tp5DaXv+lMA+6WUr6tO/QbAOKvlJgALVMf/o8yMGQAgR2km/xPAOCFEQ+U353HKMZ8npXxMStlCSpkAw/u1Ukp5PYBVAK5Silk+Q+OzvUopL5Xj1yiztdoAaA/DoFefJ6U8A+CEEKKjcmg0gH3ge1gdxwEMEEKEK/9fG58h38Oaccm7p5zLE0IMUP5e/qO6l08TQkwA8H8ALpVSFqpO2XrHdL+vlffS1nvs3Tw9er62/sAwi+MQDLMNnvB0fbzpD4AhMDSp7gKwQ/kzCYY+7RUADiv/jVHKCwDvKc9yN4Ak1b2mwjAIMQ3ALZ7+2Tz0PEfAPCswEYZ/LNIA/AAgVDkepuynKecTVdc/oTzbg/DBmUN2nl0vAKnKu/grDDOr+B5W7xk+C+AAgD0AvoJh1hXfQ/vP7VsYxqWVwdBqMs2V7x6AJOXv5AiAd6GsdOJLf2w8wzQYxkwZv1s+tPeOwcb3ta332Nv/cEkbIiIiIhfx1a5AIiIiIrdjYEVERETkIgysiIiIiFyEgRURERGRizCwIiIiInIRBlZERERELsLAioiIiMhF/h9vsxZ2M4N/owAAAABJRU5ErkJggg==\n", "text/plain": [ "Failed to display Jupyter Widget of type HBox
.
\n", " If you're reading this message in the Jupyter Notebook or JupyterLab Notebook, it may mean\n", " that the widgets JavaScript is still loading. If this message persists, it\n", " likely means that the widgets JavaScript library is either not installed or\n", " not enabled. See the Jupyter\n", " Widgets Documentation for setup instructions.\n", "
\n", "\n", " If you're reading this message in another frontend (for example, a static\n", " rendering on GitHub or NBViewer),\n", " it may mean that your frontend doesn't currently support widgets.\n", "
\n" ], "text/plain": [ "HBox(children=(IntProgress(value=0, description='Epoch', max=1), HTML(value='')))" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ " 75%|███████▍ | 311/417 [00:07<00:02, 42.19it/s, loss=5.74]\n", " \r" ] }, { "data": { "image/png": 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"text/plain": [ "Failed to display Jupyter Widget of type HBox
.
\n", " If you're reading this message in the Jupyter Notebook or JupyterLab Notebook, it may mean\n", " that the widgets JavaScript is still loading. If this message persists, it\n", " likely means that the widgets JavaScript library is either not installed or\n", " not enabled. See the Jupyter\n", " Widgets Documentation for setup instructions.\n", "
\n", "\n", " If you're reading this message in another frontend (for example, a static\n", " rendering on GitHub or NBViewer),\n", " it may mean that your frontend doesn't currently support widgets.\n", "
\n" ], "text/plain": [ "HBox(children=(IntProgress(value=0, description='Epoch', max=1), HTML(value='')))" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "[ 0. 1.16206 1.10624 0.61597] \n", "\n", "Now with precompute as False\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "95778b82c68c4f36a515dbba2a09f0c3", "version_major": 2, "version_minor": 0 }, "text/html": [ "Failed to display Jupyter Widget of type HBox
.
\n", " If you're reading this message in the Jupyter Notebook or JupyterLab Notebook, it may mean\n", " that the widgets JavaScript is still loading. If this message persists, it\n", " likely means that the widgets JavaScript library is either not installed or\n", " not enabled. See the Jupyter\n", " Widgets Documentation for setup instructions.\n", "
\n", "\n", " If you're reading this message in another frontend (for example, a static\n", " rendering on GitHub or NBViewer),\n", " it may mean that your frontend doesn't currently support widgets.\n", "
\n" ], "text/plain": [ "HBox(children=(IntProgress(value=0, description='Epoch', max=30), HTML(value='')))" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "[ 0. 1.25446 1.11698 0.62788] \n", "[ 1. 1.17912 1.03288 0.65288] \n", "[ 2. 1.27068 1.13769 0.62192] \n", "[ 3. 1.24414 1.10389 0.63661] \n", "[ 4. 1.18874 1.03594 0.65635] \n", "[ 5. 1.1632 1.01193 0.6623 ] \n", "[ 6. 1.2639 1.14672 0.61895] \n", "[ 7. 1.2698 1.13121 0.61746] \n", "[ 8. 1.26611 1.10718 0.63443] \n", "[ 9. 1.22351 1.09626 0.63621] \n", "[ 10. 1.20549 1.05746 0.65238] \n", "[ 11. 1.17759 1.02645 0.66478] \n", "[ 12. 1.14593 1.0053 0.67024] \n", "[ 13. 1.1308 0.99884 0.67431] \n", "[ 14. 1.27133 1.1385 0.62113] \n", "[ 15. 1.24347 1.11354 0.63105] \n", "[ 16. 1.24738 1.11663 0.62867] \n", "[ 17. 1.27063 1.12279 0.6251 ] \n", "[ 18. 1.24126 1.10634 0.62282] \n", "[ 19. 1.25247 1.0985 0.63462] \n", "[ 20. 1.24079 1.08414 0.64811] \n", "[ 21. 1.22069 1.07312 0.64415] \n", "[ 22. 1.22488 1.07028 0.6499 ] \n", "[ 23. 1.20484 1.06734 0.65099] \n", "[ 24. 1.16112 1.03352 0.65913] \n", "[ 25. 1.16851 1.02562 0.66131] \n", "[ 26. 1.12653 1.00558 0.66667] \n", "[ 27. 1.12084 0.99636 0.67192] \n", "[ 28. 1.11384 0.98569 0.67599] \n", "[ 29. 1.10518 0.98719 0.67559] \n", "\n" ] }, { "data": { "image/png": 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"text/plain": [ "Failed to display Jupyter Widget of type HBox
.
\n", " If you're reading this message in the Jupyter Notebook or JupyterLab Notebook, it may mean\n", " that the widgets JavaScript is still loading. If this message persists, it\n", " likely means that the widgets JavaScript library is either not installed or\n", " not enabled. See the Jupyter\n", " Widgets Documentation for setup instructions.\n", "
\n", "\n", " If you're reading this message in another frontend (for example, a static\n", " rendering on GitHub or NBViewer),\n", " it may mean that your frontend doesn't currently support widgets.\n", "
\n" ], "text/plain": [ "HBox(children=(IntProgress(value=0, description='Epoch', max=1), HTML(value='')))" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "[ 0. 1.05115 0.96719 0.6628 ] \n", "\n", "Now with precompute as False\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "fd21dd9660f7481387b72eba4f5cfe8a", "version_major": 2, "version_minor": 0 }, "text/html": [ "Failed to display Jupyter Widget of type HBox
.
\n", " If you're reading this message in the Jupyter Notebook or JupyterLab Notebook, it may mean\n", " that the widgets JavaScript is still loading. If this message persists, it\n", " likely means that the widgets JavaScript library is either not installed or\n", " not enabled. See the Jupyter\n", " Widgets Documentation for setup instructions.\n", "
\n", "\n", " If you're reading this message in another frontend (for example, a static\n", " rendering on GitHub or NBViewer),\n", " it may mean that your frontend doesn't currently support widgets.\n", "
\n" ], "text/plain": [ "HBox(children=(IntProgress(value=0, description='Epoch', max=30), HTML(value='')))" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "[ 0. 1.08162 0.94352 0.67183] \n", "[ 1. 0.99748 0.89464 0.6881 ] \n", "[ 2. 1.0483 0.91754 0.67679] \n", "[ 3. 1.02091 0.89119 0.68889] \n", "[ 4. 0.95075 0.85186 0.70327] \n", "[ 5. 0.90177 0.84354 0.70506] \n", "[ 6. 1.00654 0.89183 0.68552] \n", "[ 7. 0.99001 0.88197 0.69018] \n", "[ 8. 0.96011 0.87726 0.69534] \n", "[ 9. 0.96041 0.85465 0.70427] \n", "[ 10. 0.90791 0.84278 0.70377] \n", "[ 11. 0.87729 0.82705 0.71131] \n", "[ 12. 0.86129 0.81556 0.71369] \n", "[ 13. 0.84167 0.81839 0.71319] \n", "[ 14. 0.96958 0.88032 0.69177] \n", "[ 15. 0.96295 0.86398 0.69831] \n", "[ 16. 0.97039 0.87492 0.69117] \n", "[ 17. 0.9624 0.87117 0.69564] \n", "[ 18. 0.95494 0.86043 0.70437] \n", "[ 19. 0.93728 0.85608 0.70089] \n", "[ 20. 0.90854 0.84553 0.70397] \n", "[ 21. 0.90762 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\n", "text/plain": [ "Failed to display Jupyter Widget of type HBox
.
\n", " If you're reading this message in the Jupyter Notebook or JupyterLab Notebook, it may mean\n", " that the widgets JavaScript is still loading. If this message persists, it\n", " likely means that the widgets JavaScript library is either not installed or\n", " not enabled. See the Jupyter\n", " Widgets Documentation for setup instructions.\n", "
\n", "\n", " If you're reading this message in another frontend (for example, a static\n", " rendering on GitHub or NBViewer),\n", " it may mean that your frontend doesn't currently support widgets.\n", "
\n" ], "text/plain": [ "HBox(children=(IntProgress(value=0, description='Epoch', max=1), HTML(value='')))" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "[ 0. 1.25343 1.04188 0.63175] \n", "\n", "Now with precompute as False\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "9e46f131fdd64185984515747c8c1967", "version_major": 2, "version_minor": 0 }, "text/html": [ "Failed to display Jupyter Widget of type HBox
.
\n", " If you're reading this message in the Jupyter Notebook or JupyterLab Notebook, it may mean\n", " that the widgets JavaScript is still loading. If this message persists, it\n", " likely means that the widgets JavaScript library is either not installed or\n", " not enabled. See the Jupyter\n", " Widgets Documentation for setup instructions.\n", "
\n", "\n", " If you're reading this message in another frontend (for example, a static\n", " rendering on GitHub or NBViewer),\n", " it may mean that your frontend doesn't currently support widgets.\n", "
\n" ], "text/plain": [ "HBox(children=(IntProgress(value=0, description='Epoch', max=30), HTML(value='')))" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "[ 0. 1.12512 0.96615 0.66171] \n", "[ 1. 1.05414 0.92497 0.6746 ] \n", "[ 2. 1.06102 0.92863 0.67649] \n", "[ 3. 1.0196 0.90395 0.68185] \n", "[ 4. 0.9773 0.87001 0.69395] \n", "[ 5. 0.92542 0.85536 0.70188] \n", "[ 6. 1.0287 0.91618 0.67996] \n", "[ 7. 0.99776 0.89601 0.68482] \n", "[ 8. 0.95506 0.87979 0.69028] \n", "[ 9. 0.95912 0.85556 0.70357] \n", "[ 10. 0.9116 0.84213 0.70575] \n", "[ 11. 0.88703 0.82763 0.70784] \n", "[ 12. 0.84927 0.81854 0.71081] \n", "[ 13. 0.85036 0.81479 0.7128 ] \n", "[ 14. 0.98082 0.87497 0.69147] \n", "[ 15. 0.95896 0.87572 0.69266] \n", "[ 16. 0.95894 0.86377 0.69841] \n", "[ 17. 0.95678 0.86425 0.69365] \n", "[ 18. 0.93004 0.86835 0.69881] \n", "[ 19. 0.93132 0.86679 0.69871] \n", "[ 20. 0.9289 0.8438 0.70625] \n", "[ 21. 0.90753 0.84369 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\n", "text/plain": [ "Failed to display Jupyter Widget of type HBox
.
\n", " If you're reading this message in the Jupyter Notebook or JupyterLab Notebook, it may mean\n", " that the widgets JavaScript is still loading. If this message persists, it\n", " likely means that the widgets JavaScript library is either not installed or\n", " not enabled. See the Jupyter\n", " Widgets Documentation for setup instructions.\n", "
\n", "\n", " If you're reading this message in another frontend (for example, a static\n", " rendering on GitHub or NBViewer),\n", " it may mean that your frontend doesn't currently support widgets.\n", "
\n" ], "text/plain": [ "HBox(children=(IntProgress(value=0, description='Epoch', max=1), HTML(value='')))" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "[ 0. 1.38557 1.14619 0.59564] \n", "\n", "Now with precompute as False\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "e5784f4380f74759b921952a5eb2b4f2", "version_major": 2, "version_minor": 0 }, "text/html": [ "Failed to display Jupyter Widget of type HBox
.
\n", " If you're reading this message in the Jupyter Notebook or JupyterLab Notebook, it may mean\n", " that the widgets JavaScript is still loading. If this message persists, it\n", " likely means that the widgets JavaScript library is either not installed or\n", " not enabled. See the Jupyter\n", " Widgets Documentation for setup instructions.\n", "
\n", "\n", " If you're reading this message in another frontend (for example, a static\n", " rendering on GitHub or NBViewer),\n", " it may mean that your frontend doesn't currently support widgets.\n", "
\n" ], "text/plain": [ "HBox(children=(IntProgress(value=0, description='Epoch', max=30), HTML(value='')))" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "[ 0. 1.2172 1.00715 0.64316] \n", "[ 1. 1.14248 0.97364 0.65169] \n", "[ 2. 1.11695 0.95135 0.65883] \n", "[ 3. 1.07557 0.93486 0.67143] \n", "[ 4. 1.02138 0.90637 0.68105] \n", "[ 5. 1.00519 0.90298 0.67976] \n", "[ 6. 1.04351 0.92113 0.67302] \n", "[ 7. 1.02742 0.9078 0.67788] \n", "[ 8. 1.01408 0.88842 0.68651] \n", "[ 9. 0.99154 0.87992 0.68998] \n", "[ 10. 0.95499 0.86702 0.69603] \n", "[ 11. 0.95086 0.85147 0.70109] \n", "[ 12. 0.92738 0.84287 0.70387] \n", "[ 13. 0.91638 0.84244 0.70496] \n", "[ 14. 1.01557 0.90427 0.68561] \n", "[ 15. 1.0169 0.88434 0.68641] \n", "[ 16. 0.98096 0.87993 0.69355] \n", "[ 17. 0.9812 0.87104 0.69941] \n", "[ 18. 0.97249 0.85646 0.70218] \n", "[ 19. 0.9625 0.8644 0.69911] \n", "[ 20. 0.95107 0.84487 0.70268] \n", "[ 21. 0.92236 0.84518 0.70437] \n", "[ 22. 0.90926 0.83892 0.70308] \n", "[ 23. 0.88227 0.82956 0.70923] \n", "[ 24. 0.8835 0.81935 0.7126 ] \n", "[ 25. 0.85533 0.80991 0.71548] \n", "[ 26. 0.83115 0.80799 0.71954] \n", "[ 27. 0.81374 0.8034 0.71796] \n", "[ 28. 0.8122 0.80351 0.71806] \n", "[ 29. 0.79961 0.80023 0.71905] \n", "\n" ] }, { "data": { "image/png": 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\n", "text/plain": [ "Failed to display Jupyter Widget of type HBox
.
\n", " If you're reading this message in the Jupyter Notebook or JupyterLab Notebook, it may mean\n", " that the widgets JavaScript is still loading. If this message persists, it\n", " likely means that the widgets JavaScript library is either not installed or\n", " not enabled. See the Jupyter\n", " Widgets Documentation for setup instructions.\n", "
\n", "\n", " If you're reading this message in another frontend (for example, a static\n", " rendering on GitHub or NBViewer),\n", " it may mean that your frontend doesn't currently support widgets.\n", "
\n" ], "text/plain": [ "HBox(children=(IntProgress(value=0, description='Epoch', max=1), HTML(value='')))" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "[ 0. 1.88647 1.47695 0.51379] \n", "\n", "Now with precompute as False\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "daaa90ffc903407981431c1828f40048", "version_major": 2, "version_minor": 0 }, "text/html": [ "Failed to display Jupyter Widget of type HBox
.
\n", " If you're reading this message in the Jupyter Notebook or JupyterLab Notebook, it may mean\n", " that the widgets JavaScript is still loading. If this message persists, it\n", " likely means that the widgets JavaScript library is either not installed or\n", " not enabled. See the Jupyter\n", " Widgets Documentation for setup instructions.\n", "
\n", "\n", " If you're reading this message in another frontend (for example, a static\n", " rendering on GitHub or NBViewer),\n", " it may mean that your frontend doesn't currently support widgets.\n", "
\n" ], "text/plain": [ "HBox(children=(IntProgress(value=0, description='Epoch', max=30), HTML(value='')))" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "[ 0. 1.18962 0.96506 0.65635] \n", "[ 1. 1.11035 0.92796 0.67093] \n", "[ 2. 1.07023 0.92718 0.67153] \n", "[ 3. 1.02732 0.89155 0.68552] \n", "[ 4. 0.97336 0.87203 0.69375] \n", "[ 5. 0.96949 0.87093 0.69494] \n", "[ 6. 1.02327 0.89319 0.68591] \n", "[ 7. 0.97858 0.87634 0.69097] \n", "[ 8. 0.97534 0.85293 0.70149] \n", "[ 9. 0.93149 0.84771 0.70268] \n", "[ 10. 0.92056 0.82565 0.7124 ] \n", "[ 11. 0.88824 0.82935 0.70972] \n", "[ 12. 0.87601 0.81957 0.7129 ] \n", "[ 13. 0.86438 0.81952 0.7121 ] \n", "[ 14. 0.94136 0.86304 0.69673] \n", "[ 15. 0.93918 0.83937 0.70506] \n", "[ 16. 0.92601 0.84418 0.70675] \n", "[ 17. 0.89236 0.82786 0.7131 ] \n", "[ 18. 0.89477 0.83408 0.71012] \n", "[ 19. 0.89333 0.81779 0.71607] \n", "[ 20. 0.84657 0.81528 0.71528] \n", "[ 21. 0.84046 0.81346 0.71409] \n", "[ 22. 0.83054 0.811 0.71845] \n", "[ 23. 0.81166 0.80624 0.71925] \n", "[ 24. 0.79839 0.80018 0.71974] \n", "[ 25. 0.79172 0.79752 0.72371] \n", "[ 26. 0.7638 0.80074 0.72292] \n", "[ 27. 0.76813 0.79384 0.72371] \n", "[ 28. 0.77779 0.79411 0.72361] \n", "[ 29. 0.76272 0.79376 0.7246 ] \n", "\n" ] }, { "data": { "image/png": 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HfgVFqwbxdGpShzlrUhnw+Bf0ffTzYHdJREREahCfwcpauxQ4Wsbz31lrjzk3lwOt/NS3oOjctC5n3O4MTJo8N4i9ERERkZrE33Osbgbm+/mYVap+fHSwuyAiIiI1lN+ClTHmIhzB6v4y2kwyxqw2xqxOT0/311v71YiuTUrsSzl6Ogg9ERERkZrGL8HKGNMLeBWYYK09Ulo7a+0sa21/a23/xMREf7y13/VomQDAU1f25O2bBwKQckzBSkRERHyLquwBjDFtgA+Bidba7ZXvUnA1qRvHjsfHEh0ZwZ7DpwDYfzwryL0SERGRmqA85RbeA74HzjHGpBpjbjbG3GqMudXZ5CGgEfCiMWadMWZ1APtbJaIjHaeleX3H+oHvrdwXzO6IiIhIDeFzxMpae62P528BbvFbj6qR2KhIAPILbJB7IiIiIjWBKq/70KZhPOtSjge7GyIiIlIDKFj5sM95R2ByWmaQeyIiIiLVnYKVDw/+rBsAI59dGuSeiIiISHWnYOXDxV2K6lqdys4LYk9ERESkulOw8qFd49qux/fOWR/EnoiIiEh1p2BVAfM2HuS75MPB7oaIiIhUUwpW5bD03otcj3/16gqS0zJZl3KcgkqUYViXcpye0xdyy79W+aOLIiIiUg1UuvJ6OGjTKN5ju3Aie9tG8XztFrrKIy0ji9e+3c0rS3cB8MWWNA6eyKJZQpx/OisiIiJBoxGrctr+2NgS+/YeOc0/Fu8o9zGstQx8YrErVBUa/ORivtqW5tr+YvMhXvt299l3VkRERIJCwaqcYqIi2DNzPPeP6eKx/5nPy7884g9lFBq94Y1VzFmTCsAtb63m0c82k5ahNQpFRERqEgWrCrrtwg7M+8Nw1kwbWa72y5IP8+DHmwB4f2WKx3ML7hrusf2n/67nA2e4Ajhv5peV7K2IiIhUJQWrs9CtRT0a1Yl1bW89mMHfvthRYjJ7RlYu1726greX7+VQRhbvr/YMVl2a1eOxy3t47Lvnv0UlHfIKLN/t1F2IIiIiNYWxNjgLDPfv39+uXr06KO/tL++u2MvUjzYVbd8yiKgIw6D2jQBImjzX6+t2PD6WqAiDMQaAuRsOcPu/13pt26tVAp/cMczPPRcREZGKMMassdb299VOdwVWwmBngCp03asrXI8b1o7x+prpl3YjOtJzoHB8r+a0bjiUy55f5tr38q/7cus7a9mQeoLc/IISrxEREZHqR7+tK6G9W1X24o6eynE9butWruH8zole2/dqVZ93bh7k2h7To7nr8axidxGKiIhI9aRgVQnGGGZe0bPMNm/eOICFd53Pi9f1ZfeT42ifWKfUtuc0qwvAQ86Fn+fcOgTwDGkiIiJSfWmOVSVZa1m77zg9WyZwKCOLF5YkM3uVY5L6c7/sw+XntqzQ8U7n5FErOhJjDNZa2k2ZB8CmR0ZTJ1ZXbkVERIKhvHOsFKwCYGf6SbYfzGRsz+a+G/tQOAF+cPuGzJ40pNLHExERkYorb7DSpcAA6JBYxy+hCqBnywQAlu86SsrR0345poiIiASGglU19+nvi0otDH96CSt3Hw1ib0RERKQsClY1QN829V2Pf/HK90HsiYiIiJRFwaoG+PB3Q+nWvJ5rOys3n7X7jpE0eS43vbkqiD0TERERdwpWNcS8O4dzWe8WAHR5cAFXvPgdAF9uTeOYyjGIiIhUCwpWNcgn6/d73X/uo5/zyKc/cio7z7Vv+6FMkibP5bMN3l8jIiIi/qdgVYN8csfQUp97Y9keuj+8kE0/nQDg1nfWAHDHv39g35HTfLg2tUr66G/rU46TnZcf7G6IiIiUi4JVDdKrVX0GJDVgXM9m/OXq3qx98JISbX72j28BuLpfa9e+8/+8hD/+Zz07DmVWWV/9Yf/xM0x4YRnTP/mRjKxcPliTSl5+QbC7JSIiUioVCK3h1u475ppv5cvTV/XiF/1b+25YTXyzI52Jr6302Ne1eT3uHNGJi7s0ISZK/y4QEZGqoQKhYaJvmwZc3qcFtaIjfba9b86GKuiR/xQPVQBbDmRw6ztr6DxtfhB6JCIiUjYFqxDw3DXnsnnGaD6+3XMOVo+WjhIN53dOdO3blX6ySvtWEVm5+Uz7eCPZefkcPJEV7O6IiIhUmFb1DRHGGHq3SnBtL77nAjok1nFt/+wf37DppwxuenMVX917UanHScvI4ostaVw7sDXGmID2ubguDy4AIDntJFsO1Kz5YCIiIlCOYGWMeR34GZBmre3h5XkD/A0YB5wGbrDWrvV3R8U3YwxbHx1Ddm4BCfHRHs999vvhJE2ey54jp7HWeg1NS7alceMbjoKjz3+5g++mjAh4n7Ny83lm0TZSjp5x7Vu+q2jZnlsv6MA3O9L5/cWd6NKsLq99u5vNBzJYs/cYefkFREV6Drqezsmj20MLAdj5xDgiI6o2HIqISHgrz6XAN4ExZTw/Fujk/JkEvFT5bsnZiouOLBGqilu995jX/YWhCmB/FV2K+2BtKv/8ZjcLfjzo9fnJY7sw9w/DGdOjGUmNa/Po5T046iyI2nnafPLyC/jv6hQys3IBeO6LHa7XdnhgXuA/gIiIiBufwcpauxQoa+XfCcBb1mE5UN8Y09xfHRT/eefmQQBc/fL3bC9WeuGHfSXDVlXcMZqWke2x/eDPuvl8zV+u7g1AgYVuDy/k3jkb6Dl9EXn5BRQfiPt+5xG/9VVERMQXf0xebwmkuG2nOveVYIyZZIxZbYxZnZ6e7oe3loro27ZoMefvkg+7Hp/KzuPdFfsA+NWgNq79J87kcjonL6ABK6+gqC7VyK5NuXlYO9d2TKT3r6f7otQ5eUWvX7ojnTV7jlEvrugK98wFW+n+0AI2pB6n76Of880Ofe9ERCRwylXHyhiTBHxWyhyrucCT1tpvnduLgfustWvKOqbqWAXHUwu28tJXOwHYM3M8AEmT57qe/+a+i/hx/wlufWctY3s0Y/6mg/x6cBseu7xnQPpT+N6FfQFIy8ziq23pXNm3ValzpH46foahM78s9bjXDWrjCovFJT8+tsTcLBERkbJUZR2rVMC96mQrQAvUVVO3XdjB9Thp8lwKCjyDdaM6MbRuGA/A/E2OeU/vLN9Hlwfnu+Y2+ct7K70HnyZ14/hF/9ZlTjxvWb8Wk8d2KfX5x39eehDsOHU+S7alsTH1RPk7KyIiUg7+CFafANcbh8HACWvtAT8cVwKgXpznxPbBTy6mQ2Jt13Z8TBTtGtcu/jKycgvo++jnbDmQ4dq3PuV4iWDmzfZDmaz1ModryocbK9L1EiYNb8+zv+jNjsfH0rhOLADtG9fmu8kXA9Cg2CT+WLdK7Te+sYpLn/+2zOMfOHGm1GWA8gssj362mdRjpyvzEUREJMT4DFbGmPeA74FzjDGpxpibjTG3GmNudTaZB+wCkoF/Ar8LWG/FL7o2r+d6nJaZzc70U5zXoRE/ONcejI+J8ghb7sb+7RvAMSl8wgvLePO7PQB8u+Mw+4+f4Z3le3lm0TbAMf/p1W92MeqvSz2W3ckvsBw/XTT6Nf/O4Wf1OSIiDFf0bUV0ZASrp41k/UOjWHzPBbSoXwuAt52T9f80qjN7Zo5nxQMly0c8+PGmUueQDXnySy7569IS+621zFmTwmvf7q50OJTKyckrYOvBDN8NRUSqiNYKDEMZWbm8+s1u/r64qDTBoHYNef+3Q7y2/2pbGje4lWK4tHcLPl1fdLV3+2NjSywxc+3A1nRpVo+HP/nRta9DYm12pp/yaHf3yM7cObJTpT5PWTKzcqnrNkqXcvQ0w59eUqLdtPFduWV4e25/dy3Zefm89Ot+dJrq+Ey1YyJZ9/AooiMjSE7L5K3v9/LW93sBGJjUkP/c6v28SeDsO3KauJgIBj6+GIAVD4ygab24IPdKREJZeedYqfJ6GKoXF80fL+lMfEwkM+dvBWBQ+0altr/wnCa8P2kwv5y1HMAjVAEelwcLvbcypcS+4qEKYETXJhXqe0XVLXbps3XDePbMHM8f31/Hhz/85Nr/2NwtjOvZnLkbHVexP1iT6nruVE4+nabOZ3yv5szd4HmVuyBI/zAJZ1m5+Zz/Z89wPOiJxR43QIiIBItGrMLcO8v3cjI7j0nD2xPho0q5tZZ2U/xbdPOHBy+hQe0Yvx6zPLLz8pm38QB3v7++UscpHOmbvXIfsdER/PzcVn7qoZTmH4t38Mzn20vs3zxjNPEx+reiiARGVd4VKDXYrwe35dYLOvgMVUCJZXA+ucNz0edLujVlzq1DuPWCDh7798wc75pcXlx9H1XiAyU2KpKfn9uKG85LqtRxVuw+ytvf72Hyhxu5+/31JQqtphw97TGfDOClr3byty92VEkB1lB0+GS21/3dHlpI0uS5pBzVDQUiEjwasZIKyc0vYOpHG5l+WXfiY6I8amAVXoqx1jLima/ZdfgU/75lEOd1bAxAQYHlUGYWQ578kt9f3JHhnRIZ2K5hUD6Huxe/SubpBdtc22N7NGND6glGdW/Kw5d25+JnvmJXscuYz1zdm883H/K6FM8/rj2Xj3/4icOnclifcpwG8dH88NAovks+zJ4jp3ngI8eE99+e354p47oG9sOFmEMZWQx6YrHHvj+M6OQxXxAo12XBNXuPsvDHQzygPwMRKYfyjlgpWEmlHDhxhvvmbOBfNw70GPU6lZ3Hos0HubxPS68LPlcnWbn5dHlwAQAf3DaEfm09w156ZjaLtxxisvMOwO2PjSUmKoL3Vu4r912BfxrVmb8sKnn5SvOCysdaS8/piziZnefad82A1sxelcKCu4Yz5rlvPNp7O6+nc/IY9tQSZk3sx8tf7+SLLWlA8C5Hi0jNosnrUiWaJ9RylTVwVzs2qsbMN4qLjuSNGwbQvWU9mtQteWdZYt1YrhnYhs7N6rJkaxoxznpYQ8qY8F+ct1AFsOmnE/RomXB2HQ8je4+c9ghVr0zsx+juzXjyip64/9swoVY0dWK9/7U2d8MBjp7K4aqXv/fYn3LsNNe9uoLNBzL481W9uHfOBqaM7cJvi13SFhEpD82xEgEu6tLEa6hy17dNA+4ZdY5rO6lxbRLrOuaOLbr7fD65YyhX9i0Kk6XVAhvXs5nr8c/+8S0TX1txVvOtCgqsx1qJoexIsar/A5Ico4rGGCIiDHtmjmfPzPFMHNyWgxlZ5OWXPC/3ztng9djvr0phs/PO1sI2T87fSq6XY7j7fPMhdqWfrPBnEZHQpmAlUgn/u30oMyZ0p3PTuvRqVZ8/jOjIkPaNWD1tJIvvudCjiv2uJ8axZ+Z4XryuH7Mm9nPt/2bHYVKPnanwe7d/YF6J+mGhaMuBDK58yVFgdvakwSz504U0LOXSXZuG8eQXWDpOne8RVk+cyS3R9rXfOEb0S1tTstPU+fxv3U9en7PW8n9vrebiZ74mv8Cy9WAGGVm5ZGblsiv9JEmT5zK7lCWbRCS06VKgSCW0qF+L64ckubbbNqrNe5MGu7aX/OlCNv10ghb1a3nMQRvVvZn7YRj+9JKznm+VNHluSM/VmvjaCtfjjk3qlHqHKeCqug/wh9nr+Me15wJ4TG5/48YB5OYVMKJrU5/vfefsdUzo09Jj3/HTOZzKyXdtd3igqARJvbgoMrIclywnf7iRS3u3oHZsFPuPn+GpBVuZeUUvasVE+nxfEam5NGIlEmA9WiZ4HWG54lzPX9gvfbWzXMf7cush3li222Pfgk0l704MFYdPFl0GLCtUAR53mX66fr+r9EKtaEeY2TB9FBed08QVbPu0rg/A3689t9Rw6j7ydfhkNn1mfM7QmV96bVsYqgot2eaYIP+XRdv437r9dH1oASdOlxw9W7DpAO+u2FvmZxORmkHBSiRInv1lH49f5k8tcFTBT07L5IvNh7y+pqDActObq3nk080e+299Zw3bDnpfMLqmSs/MZtWeo67twe19l+aIiYpg95PjXNsjn/0agAMnsmhWL67EIuQf3z6UPTPHc1nvFgC8ddNAPr/7fPbMHM89l3QGPFcM6P/YFxX6DHf8+wfWpRwn0y1w9Z6xqES7W99Zy9SPNnHwRFaFji8i1Y+ClUiQuYer295Zw8hnl3LLW6s5neP4ZZx67DTvrtiLtZblu46UepzRz5VcMLqwPK1YAAAbdUlEQVQs+QWWl77aWS0nwH+/8wgDHv+Cq5138N08rB2zJ5VvTUZjDP++xXGnanZeAXM3HOCDtanUq+V75sP5nRPp1LQuAMnOiekjn/2aDanHPUJece5/hs0T4nhgXBfX9uUvLOPzYkHZvcip+0T7GZ/9yP1zNvD+Ks3PEqmpFKxEqoHCCvDz3S7pFY5eDHtqCVM/2kS7KfPY8NMJ1/N3jezE8ikjKvxe1lpSjp6m49R5PLVgK/f8t3LL+gTCtf9c7rH92/PbV+j1hUVpAW7/91oAth+q2B18vz2/qNzCZc8vc4W82KiivzZf+01/po13FBhdfM8FfHz7UL6fMoJJ55ddqmHC88tcj3/zxkrX43kbD/L+6hTu/2CjK1iDYwmm/o99ziIvBWlFpHpRsBKpBqaOL1n9e9P+DJ6ct8Vj339Xp1AnNorNM0Zz18jONEuIY91DlxDvnBBdVtmGggLLwh8P0m7KPIY/vcRV/2lZ8mGe+8J7na3qokm9skthePO3a/p4bFe0yn+3FvW87n/ul33Y+cQ4tswYw4iuTblluCP0dUis45qzBbDuoUtKPfZPx8+weMsh7pz9A8uSvY9CdntoId/vPML+42fYd+Q0h0/mMOntNWWOnLkrKLDcOfsH0jO9LwFUHnn5BeQXaOklkYpQsBKpBqIji/5XvKBzIgCvfbOLV5buAoombe9MP4UBj8WG68fH0K9tAwB+OWs5Y55byqlsz0nUyWknaf/APH779poS7330VA7PfbHDZ90md9ZaZs7fyub9GQFf83DD9FFn9boJfVpyjvOy3m8vaM8/J/osmFzC1f1KFrltXDeWyAjj8+6++vExHpcIdz85jh2Pj3UVML35X6v537r9rue7ewly1/5zOefN/JKb/rWqqE/FCpxaa3ln+V6OuF1evPQf39L+gXn8b91+BjxesXlh7jpOnU+HB+Yx+QPvNcBEpCQFK5FqYs20kdw5opOrvtL61KLLfpPOb+d6nFksNAE8dnkPAFbuPsrWg5nc7PaLODMr1zWJuyzF10MszfHTObSbMo+Xv97JuL9/w/Cnl5TrdeW19WCG6/GyyReXmHBeEQudE9GnjO1Kwlks+H3HxR0BiDDw5T0XcP+YLvRr06BCx/hu8sV89vthGGOIjowgr6BkgE2sG8vcPwxnp7PWWfGQlXLUs87Z5v1F5+ijH35i2seb6OecWJ9fYNnodsm4XtzZVdVxD8yzV6V4rQUmIiWpjpVINdGoTix3O+9EK65jkzqux8UvcYGjfpa75buO8vEPP3EwI4vaxUZWFt9zASOeKRm0DmZkcU6zuj77eV6xUgOpx864FuPe/eS4Sq0Nue/IaY91/1q61aUKhtYN4rl5WDsu79OS9ol1uO3COr5fVEyL+rU86mtd3a81by8vKq3wq0FtmHFZdwAinbXO5v5hONM/+ZE3v9vjate2UTx7jzjKR4z7u+faiIUe+GhjiXOWkZVHdl4+sVFlj7AdOZlNw9oxrj+/o8Wq3fd+ZFFI10sT8RctwixSDRUGFYBP7xhGj5b12H34FO0TS//F7v4ab8b2aMZLv+7nsc/9NQ9f2o0bhzpGxrJy8zEG7pq9jknnt+dc5yhNQYGlvVtBzOLWPzTKNTJkrSUjK4+EWp4jRe+v2kdMVITXtSQf/HiTK3R8csdQerWqX6JNTZeVm8+u9FOucFRaWCmc23TTm6v4ens6MZERbJg+yrVgeEX957dD6NO6vmutS3cDHv/CNRdr/UOjyMzOJSevgIu9BPAtM8aUu8jpqew8DmZk0aGM761ITVHeRZh1KVCkGlr5QNHdfh2a1MYYU2aoAlg1dSSjuzflonMSvT4/Y0KPEvuGud0998inm9l7xHE5sMuDCzhn2gLmbzrIz1/8jmkfbyRp8lxueavoH0M/PHiJR1kBcNRoKix0OfG1lfR+ZBGfbdjv0eb+DzZy9/vrPe56K1QYqto0jA/JUAWORb+7tajH6mkj2VjG/LHICENkhGHHIUd9spz8AuKiy1+1/cPfnecxuvmLV76n87T5rE85zgdrUgHHUj8HT2R5THDvPWMRw55a4gpVb9wwgBYJRTcPXPJX35eVC3V/eCEjnvmajKyKXUbUpHmpyRSsRKqhJvXi+OC2IXzxx/M9JqqXJbFuLK9M7M+jl5cMUJPHdnEtGO3ujRsHsHnGaNf24i1pXke+3lnuqKv05VZHJfFrB7amQe0YJp3fgaEdG3m0nfrRJvLyC/g2+TDgKJJZyH2C/MvFKs27T7hfet9FpX/QENG4Tix1yzF/bL+z7EbPlgkANK1X8s/xg9s8a3x1blqHvm0aMKFPyxIjhhNeWMY9/13P4ZPZ9H5kEYOfXFzm+5/MzmPW9UX/SC+89JuVm1/GqzyXEUrLqFjh096PLPKYJyhSkyhYiVRT/do2pGMT33OeimvVIJ43bhzg2r6qX6tS60BFR0YQHxPFqG6OdfPWpx4v13u4j3798/r+fH3vhR7Pd5zquTj0yt1HOZ2TxzJn2AL4+5fJrnUAk9NO0v3hhQC0bhjceVXVzaqpI7nwnEQ+uWMoACseGMkrE/tx09B2bH10DKunjaRf24bsmTne9bPo7gtcr1//8CjXmonuileRL230bFD7hvRomcDcPwzz2D/9kx9LtL3+9ZUkTZ7L8dM5PPt5UQmP/zpHyMojv8ByKiefr7all/s1ItWJgpVICCoc3Xj85z34y9W9fU4of/G6vgCu2/+HtG9UVnOP8hDxMVG0bVSbOy7qWKLdeR0cx/nFK9/T7aGFTHrLs9zDNzscNbTc7wT82zUlQ0A4S6wby5s3DvT4MxzdvRkPXdqNuOhIn+snAlzauwUL7hpe6vPXDGjtMXo2tkfRIuFN6jouA3ZvkcC//2+Qa//sVSn8Z3UKx08XTXJfut0Rhu75z3qaudUee+XrXR7vt3bfMTa53bnorvBytEhNpWAlEoIa14ll+2Nj+dXANuVqHxXp+VfB7Rd15IpzW/LAuC6u5WGe/UXvMo/xp9HnsOju8z323T/Gcw5WjpdaWc99scN1ufCxy3vQt4LlDKR8ujSrxzUDWtOo2ILge2aOZ+aVvQBYOXUEg9s3ZOaVvdj66JgSE+vP69CYxfcUjYbdN2cDfWZ8jrWWnelFle0Xb03jYEYW1wxo7dpXOFdsx6FMrnjxO372j2+ZtdTzcvD+42c8Jsz7utwoUh0pWImEqJioiAqVPlh4V1EoGtqxEc/+sg+Tzu/AeR0bs2fmeK7o24pv7ruIL91+sRbXuWldV5hqVi+ODk28T7hfM22kx6hIoWvLGQTl7My8shdrHiyqCF88ODWpG8fsSUNIqBVd6kR5b3f4zdt40GsJj6zcfJo45/Zd8telrN13jEv+WrSm5RPztroen8zO47G5nouL/3d1CgCbfjrBn/67vkJFbAsVFFhmr9ynkCZVRuUWRMRl/sYDxEZHcHGXpmd9jIICy/NLkrmib0taNYhn7b5jNK0Xx1Bn/auHftaNm4Y5yjpsOZDB2L8V1WRSnaSqkZ2XT1ZuQYmJ7eV14MQZhjxZVM9sWMfGrpsVEmpFu4qJvn3zQAYkNSyzRMSL1/VlXM/mHjdNjOjShMXOGyXczZ40mME+LlO7y8kroPO0ovl+G6ePKtcNAyLeqNyCiFTY2J7NKxWqACIiDH8Y0YlWDeIB6NumgUfRysJQBZDkVtj0n9dXfMkZOTuxUZFnHaoAmifUYv1DRZPdv3W7KWHpvUV3dA7vlEhcdCTjepYcnTy3jaOcxu/eXVviTtTXbhhQoj3ANbOWk+dj1Grhjwd55FPHxPrVxdZV7Dl9EcOe+lKlHCSgFKxEpEo88fOePHVlT4997oUmR3ZtUtVdkkpIiI/2uo5jQnw0vx7cxrXmJcCL1/Xjo9+d59p+7/8G8+Ft55V4rbvrh7T1ur/j1PkcPFF6+Ybfvr2GN5bt4e3le72ujZl67Ax7NEFeAkiXAkUkqL7YfIjc/ALG9mwe7K7IWRjxzFfsdK4z6etS7pq9R+neIsE1f6v4SNX6h0eRm1/gutPxd++uIbFOLH8cdQ5DnlzM6ZyieVK1oiM5k5vPpkdGuxa29nZMcNT5uvIlz8Wrr+zbimd83JAh4k6XAkWkRhjZralCVQ0251bHyNO1A1v7aOmozeY+KX7tg5fw6R3DuKpfKzbPGE1CrWiP8hEvXtePRyb0IKFWNF/f61k09oxzMvpjnxVNeP9kvWeVf/f3Le6Dtal89EMqew5r9Er8SyNWIiJSIyzZmsaNb5asyD6ya1O+2HKo1NftmTnetf7lOdNKTqS/7cIOrrtZz+Tk0/WhBVwzoLWrDMXfvthB37b1OXoqh4u6NKGeJsCHJb+OWBljxhhjthljko0xk70838YYs8QY84MxZoMxZtzZdFpERKQ0F3VpwvdTLi6xv3io2vroGNfjpEaOmyjioiOJjYpkz8zxdG7qWTLipa92ciYnH2stXR9yBK/Zq1L4z6oU1uw9xl+/2M7E11Zy5+x19Jq+iKTJc31Oopfw5XMRMmNMJPACcAmQCqwyxnxirXUvODIN+I+19iVjTDdgHpAUgP6KiEgYa57ge8mjuOhINs8Yzafr93NVv5KXKN+4caCr/EehRZsPknrsjMe++z7YUOp7dJw6X+VBxKvyjFgNBJKttbustTnAbGBCsTYWqOd8nAB4v9AtIiJSSa9e35/F91zAx7cPde0b3qkxAEv+dCHgWGrplwPaEBlRskhuy/q1ePeWQayZNpKnnZf7Xv92t+t5b+UhivO2qHlZ3l6+l293HOa1b3cz5rmlBGsajgSezxEroCWQ4radCgwq1mY6sMgY83ugNjDS24GMMZOASQBt2qjCsoiIVNzIbkW11nY+MY4tBzLo4Vwfs7yGdnQEsSv6tuS+DzawPvUE61Md6xdOGduVeRsPerRPahTPWzcN4vVlu3nzuz2kZ2aTk1dATFQEBQWW9g/Mo1erBD65w7FY9emcPMAR8D5cm8qDH2/yON77q1K4xrnSwD+X7uLxeVuYNbEfo7r7DnWFBVqf+2UfLj+3ZYU+twReeUasvK2JUTxqXwu8aa1tBYwD3jbGlDi2tXaWtba/tbZ/YmJi8adFREQqJDLCVDhUuSu+TiZA64bxFA50Pf+rc/ns98P46t6LaNMonumXdXctMN152nw2pp7g9WWO0a4NzmB2/HQO3R5aSLeHFpI0eS5//M/6Eu8x+cON/HTccenx8XlbAJj09ho2pnouTv3Zhv0kTZ7LsuTDXPXSd+xMP+mqen/X++tImjyXnDzN96pOfN4VaIwZAky31o52bk8BsNY+6dbmR2CMtTbFub0LGGytLbkmgZPuChQRkeogIyuXXtMXATCqW1Nm+VgFYNrHG3ln+T6/vHd0pCE33/P3cOHcrf97azWfby79bsdC/7t9KL1b1/dLf3zZfiiTUX9dSp3YKDY9MrpK3rO68OddgauATsaYdsaYGOAa4JNibfYBI5xv3BWIA9Ir1mUREZGqVy8umt1PjmPPzPE+QxXAjMt6VPg9rhvkuOz33C/7sP2xsa79haGqj1swSpo8l4mvrShXqAJYu++Yx/axUzm8t9I/wa+40c85FtE+mZ3HdzsP+2hdtp3pJ0maPJdfv7rCH12rNnwGK2ttHnAHsBDYguPuvx+NMTOMMZc5m90D/J8xZj3wHnCD1cw8ERGpIYzxNuvFu4gIU+KOwI5N6pRot+uJcWx7bAx7Zo7nsct78Nnvh3H5uS2JiYqgbpznFOdZ1/fz2P5mR9mhxX1tzVV7jrouK67cfZRzH/2cKR9uZOJrZQeWnLwCktNOltmm0MnsPNIzs3H/zf6rf64gLaP05YXKsufwKUY88zXgWGuycOHuUKACoSIiImehcBL5k1f05NqBbVzL6bwysR+jfUxCT8vIYtWeYwxu76hGXzs2ynU8dy/8qi9tG8VzzazlvHHjAHq2TCA3v4C0zGxXMPGltLIQF/x5CXuPnKZuXBRv3zzIY9QMipYHGt+zOXM3HqjQ8Y+dyuGFJcncN6YLB06coU3DeFd4XZ9ynAkvLPNo/9sL2jN5TBefAff5L3fwl0Xb+fGR0czdeIDZK/cxY0KPSs2zK6/yXgpUsBIREfGDD9emcuJMLjcObXfWx3hn+V4+Xb+fFbuPAmWvv/j9ziNMens1mVl5ZR7zhwcvISLCkJdfwNvL99KteT2+33WEN5bt8Wh3Zd9W/PmqXgx8YjGHT2aXu89v3DiAzfszuP2ijq59xdds/NOozlwzsA0Hjmdx6fPfuva/fkN/bnrTMwtc3a8Vf77a+zqO3taCBHh0QncmDkkqd5/PhoKViIhIDVRQYMnMyiMh3vfSOa9/u5sZn2322Pf0lb0Y07OZa0K+v318+1D6tK7vNeRse2wMsVGRpQag4vbMHO+17dZHxxAXHcn7q/ZxbpsGAGw5kMGds9eVeaxAKm+wKk8dKxEREakiERGmXKEK4DfnJTHjs808OqE73+08grXwiwGOavPP/qK311IPFdEhsTY70x0LVX9w23l0bV6X+BhHdNj95DjaTZnn0X7m/K3cNaJzuY5dOIn/iz9ewMhnPS9rfvTDT2w/lFliVK24do1rs/vwKV7+db8y21UlBSsREZEaKtJtIn3xS2FX9G1VZrD64LbzqBsXxemcfC4vNufp9os68MKSnbx98yDOcy7/07dNfY85UMYYV7ApVC8umt4zikbK+rSuz7qU4yXee/W0kcREOe6f69ikDntmjic5LZNP1u3n718msyz5MJ9t8D6vq1/bBrRrXJvpl3UnP9+y7VAmA9s1LPVzVjVdChQREQlRX21LY8GmgzwyoTu3vr2GiUPaklArhuYJcbSoX3LdxV7TF5KRledxWe10Th5RERGuIOSurEt+y6eMoFlCHC8sSebPC7fRr20DOjetw7COiYzv1bzU1/m6jPjVny4kqXHtMtsEguZYiYiISEAt33WEa2Yt5+2bBzLxtZWu/X1a1/dYy9FaW+6SFu7Bauq4rq7K9IWCtfi1PwuEioiIiJQwuH0j9swcz/BOnsvUFb/8V5E6YfExka7HNw9rR/+2DVzby6eMOMueVh3NsRIREZFKG9iuISudZSJemXj2k8k3Th/NqZw86sREERFhmHPbeTz8v02M6t6MZglx/upuwOhSoIiIiFRadl4+2XkF1Isr3x2NNY3KLYiIiEiViY2KJDYq0nfDEKc5ViIiIiJ+omAlIiIi4icKViIiIiJ+omAlIiIi4icKViIiIiJ+omAlIiIi4icKViIiIiJ+omAlIiIi4icKViIiIiJ+omAlIiIi4idBWyvQGJMO7K2Ct2oMHK6C9wllOoeVp3NYeTqHladzWHk6h5VXU89hW2ttoq9GQQtWVcUYs7o8iyZK6XQOK0/nsPJ0DitP57DydA4rL9TPoS4FioiIiPiJgpWIiIiIn4RDsJoV7A6EAJ3DytM5rDydw8rTOaw8ncPKC+lzGPJzrERERESqSjiMWImIiIhUCQUrERERET8J2WBljBljjNlmjEk2xkwOdn+qE2NMa2PMEmPMFmPMj8aYO537GxpjPjfG7HD+t4FzvzHG/N15LjcYY/q6Hes3zvY7jDG/CdZnChZjTKQx5gdjzGfO7XbGmBXO8/G+MSbGuT/WuZ3sfD7J7RhTnPu3GWNGB+eTBIcxpr4xZo4xZqvz+zhE38OKMcbc7fz/eJMx5j1jTJy+h74ZY143xqQZYza57fPbd88Y088Ys9H5mr8bY0zVfsLAK+Uc/tn5//MGY8xHxpj6bs95/Y6V9vu6tO9xtWetDbkfIBLYCbQHYoD1QLdg96u6/ADNgb7Ox3WB7UA34GlgsnP/ZOAp5+NxwHzAAIOBFc79DYFdzv82cD5uEOzPV8Xn8o/Av4HPnNv/Aa5xPn4ZuM35+HfAy87H1wDvOx93c34/Y4F2zu9tZLA/VxWev38BtzgfxwD19T2s0PlrCewGarl9/27Q97Bc5+58oC+wyW2f3757wEpgiPM184Gxwf7MVXQORwFRzsdPuZ1Dr98xyvh9Xdr3uLr/hOqI1UAg2Vq7y1qbA8wGJgS5T9WGtfaAtXat83EmsAXHX9ATcPyiw/nfy52PJwBvWYflQH1jTHNgNPC5tfaotfYY8Dkwpgo/SlAZY1oB44FXndsGuBiY42xS/BwWnts5wAhn+wnAbGtttrV2N5CM4/sb8owx9XD8xfwagLU2x1p7HH0PKyoKqGWMiQLigQPoe+iTtXYpcLTYbr9895zP1bPWfm8dqeAtt2OFDG/n0Fq7yFqb59xcDrRyPi7tO+b197WPv0+rtVANVi2BFLftVOc+KcZ5KeBcYAXQ1Fp7ABzhC2jibFba+Qz38/wccB9Q4NxuBBx3+0vF/Xy4zpXz+RPO9uF8DtsD6cAbzsuprxpjaqPvYblZa38C/gLswxGoTgBr0PfwbPnru9fS+bj4/nBzE47ROqj4OSzr79NqLVSDlbdr2aorUYwxpg7wAXCXtTajrKZe9tky9oc8Y8zPgDRr7Rr33V6aWh/Phe05xDHS0hd4yVp7LnAKx+WX0ugcFuOcAzQBx6WVFkBtYKyXpvoeVk5Fz1vYn09jzFQgD3i3cJeXZiF5DkM1WKUCrd22WwH7g9SXaskYE40jVL1rrf3QufuQcwgb53/TnPtLO5/hfJ6HApcZY/bgGLq+GMcIVn3nJRnwPB+uc+V8PgHHEHo4n8NUINVau8K5PQdH0NL3sPxGAruttenW2lzgQ+A89D08W/767qVSdAnMfX9YcE7i/xlwnfNSKFT8HB6m9O9xtRaqwWoV0Ml5R0EMjkmanwS5T9WG89r1a8AWa+2zbk99AhTe1fIb4H9u+6933hkzGDjhHCZfCIwyxjRw/st5lHNfyLPWTrHWtrLWJuH4fn1prb0OWAJc5WxW/BwWnturnO2tc/81zru12gGdcEx6DXnW2oNAijHmHOeuEcBm9D2siH3AYGNMvPP/68JzqO/h2fHLd8/5XKYxZrDzz+V6t2OFNGPMGOB+4DJr7Wm3p0r7jnn9fe38Xpb2Pa7egj17PlA/OO7i2I7jboOpwe5PdfoBhuEYUt0ArHP+jMNxTXsxsMP534bO9gZ4wXkuNwL93Y51E45JiMnAjcH+bEE6nxdSdFdgexx/WSQD/wVinfvjnNvJzufbu71+qvPcbiME7xzyce76AKud38WPcdxZpe9hxc7hI8BWYBPwNo67rvQ99H3e3sMxLy0Xx6jJzf787gH9nX8mO4Hnca50Eko/pZzDZBxzpgp/t7zs6ztGKb+vS/seV/cfLWkjIiIi4ieheilQREREpMopWImIiIj4iYKViIiIiJ8oWImIiIj4iYKViIiIiJ8oWImIiIj4iYKViIiIiJ/8P4v/ESetROEdAAAAAElFTkSuQmCC\n", "text/plain": [ "Failed to display Jupyter Widget of type HBox
.
\n", " If you're reading this message in the Jupyter Notebook or JupyterLab Notebook, it may mean\n", " that the widgets JavaScript is still loading. If this message persists, it\n", " likely means that the widgets JavaScript library is either not installed or\n", " not enabled. See the Jupyter\n", " Widgets Documentation for setup instructions.\n", "
\n", "\n", " If you're reading this message in another frontend (for example, a static\n", " rendering on GitHub or NBViewer),\n", " it may mean that your frontend doesn't currently support widgets.\n", "
\n" ], "text/plain": [ "HBox(children=(IntProgress(value=0, description='Epoch', max=1), HTML(value='')))" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "[ 0. 1.88573 1.45961 0.51915] \n", "\n", "Now with precompute as False\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "2234eb7387e444bca00ae06fc7d21712", "version_major": 2, "version_minor": 0 }, "text/html": [ "Failed to display Jupyter Widget of type HBox
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\n", " If you're reading this message in the Jupyter Notebook or JupyterLab Notebook, it may mean\n", " that the widgets JavaScript is still loading. If this message persists, it\n", " likely means that the widgets JavaScript library is either not installed or\n", " not enabled. See the Jupyter\n", " Widgets Documentation for setup instructions.\n", "
\n", "\n", " If you're reading this message in another frontend (for example, a static\n", " rendering on GitHub or NBViewer),\n", " it may mean that your frontend doesn't currently support widgets.\n", "
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"text/plain": [ "Failed to display Jupyter Widget of type HBox
.
\n", " If you're reading this message in the Jupyter Notebook or JupyterLab Notebook, it may mean\n", " that the widgets JavaScript is still loading. If this message persists, it\n", " likely means that the widgets JavaScript library is either not installed or\n", " not enabled. See the Jupyter\n", " Widgets Documentation for setup instructions.\n", "
\n", "\n", " If you're reading this message in another frontend (for example, a static\n", " rendering on GitHub or NBViewer),\n", " it may mean that your frontend doesn't currently support widgets.\n", "
\n" ], "text/plain": [ "HBox(children=(IntProgress(value=0, description='Epoch', max=1), HTML(value='')))" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "[ 0. 1.91495 1.45581 0.51587] \n", "\n", "Now with precompute as False\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "708d383abf014ca293a4389530dc97a9", "version_major": 2, "version_minor": 0 }, "text/html": [ "Failed to display Jupyter Widget of type HBox
.
\n", " If you're reading this message in the Jupyter Notebook or JupyterLab Notebook, it may mean\n", " that the widgets JavaScript is still loading. If this message persists, it\n", " likely means that the widgets JavaScript library is either not installed or\n", " not enabled. See the Jupyter\n", " Widgets Documentation for setup instructions.\n", "
\n", "\n", " If you're reading this message in another frontend (for example, a static\n", " rendering on GitHub or NBViewer),\n", " it may mean that your frontend doesn't currently support widgets.\n", "
\n" ], "text/plain": [ "HBox(children=(IntProgress(value=0, description='Epoch', max=30), HTML(value='')))" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "[ 0. 1.18653 0.97802 0.65179] \n", "[ 1. 1.08818 0.92862 0.66667] \n", "[ 2. 1.08374 0.92995 0.67014] \n", "[ 3. 1.02608 0.89471 0.68403] \n", "[ 4. 0.99638 0.86567 0.69564] \n", "[ 5. 0.95797 0.86039 0.69444] \n", "[ 6. 1.01389 0.89751 0.68373] \n", "[ 7. 0.98849 0.87242 0.69206] \n", "[ 8. 0.95054 0.85777 0.69434] \n", "[ 9. 0.92966 0.85104 0.7003 ] \n", "[ 10. 0.91 0.8263 0.71091] \n", "[ 11. 0.87937 0.82215 0.71349] \n", "[ 12. 0.86125 0.81632 0.71528] \n", "[ 13. 0.85973 0.81679 0.71329] \n", "[ 14. 0.96085 0.85626 0.69921] \n", "[ 15. 0.93619 0.83843 0.70179] \n", "[ 16. 0.92995 0.83946 0.70367] \n", "[ 17. 0.90384 0.82234 0.71518] \n", "[ 18. 0.89965 0.81864 0.70972] \n", "[ 19. 0.88279 0.82276 0.70913] \n", "[ 20. 0.87067 0.81281 0.7125 ] \n", "[ 21. 0.84173 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\n", "text/plain": [ "Failed to display Jupyter Widget of type HBox
.
\n", " If you're reading this message in the Jupyter Notebook or JupyterLab Notebook, it may mean\n", " that the widgets JavaScript is still loading. If this message persists, it\n", " likely means that the widgets JavaScript library is either not installed or\n", " not enabled. See the Jupyter\n", " Widgets Documentation for setup instructions.\n", "
\n", "\n", " If you're reading this message in another frontend (for example, a static\n", " rendering on GitHub or NBViewer),\n", " it may mean that your frontend doesn't currently support widgets.\n", "
\n" ], "text/plain": [ "HBox(children=(IntProgress(value=0, description='Epoch', max=1), HTML(value='')))" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "[ 0. 1.89021 1.49814 0.50179] \n", "\n", "Now with precompute as False\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "cf015d7d16bb4fe09017ca00aa69d3bd", "version_major": 2, "version_minor": 0 }, "text/html": [ "Failed to display Jupyter Widget of type HBox
.
\n", " If you're reading this message in the Jupyter Notebook or JupyterLab Notebook, it may mean\n", " that the widgets JavaScript is still loading. If this message persists, it\n", " likely means that the widgets JavaScript library is either not installed or\n", " not enabled. See the Jupyter\n", " Widgets Documentation for setup instructions.\n", "
\n", "\n", " If you're reading this message in another frontend (for example, a static\n", " rendering on GitHub or NBViewer),\n", " it may mean that your frontend doesn't currently support widgets.\n", "
\n" ], "text/plain": [ "HBox(children=(IntProgress(value=0, description='Epoch', max=30), HTML(value='')))" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "[ 0. 1.14415 0.98321 0.65486] \n", "[ 1. 1.17225 1.1191 0.66458] \n", "[ 2. 1.07665 0.9536 0.66597] \n", "[ 3. 1.03984 0.93191 0.68105] \n", "[ 4. 1.02686 0.9367 0.68978] \n", "[ 5. 1.19762 1.20376 0.69494] \n", "[ 6. 1.09923 0.97489 0.65992] \n", "[ 7. 1.07333 0.95225 0.66568] \n", "[ 8. 1.05902 0.93139 0.67877] \n", "[ 9. 1.05099 0.92172 0.68036] \n", "[ 10. 1.02277 0.95366 0.68105] \n", "[ 11. 1.02635 0.95059 0.68829] \n", "[ 12. 1.10198 1.06264 0.69732] \n", "[ 13. 1.54751 1.5987 0.69246] \n", "[ 14. 1.11582 1.00986 0.64722] \n", "[ 15. 1.10576 0.97402 0.662 ] \n", "[ 16. 1.08318 0.96627 0.66181] \n", "[ 17. 1.08801 0.96633 0.66399] \n", "[ 18. 1.07158 0.95688 0.66409] \n", "[ 19. 1.06059 0.94413 0.66726] \n", "[ 20. 1.05009 0.92797 0.67669] \n", "[ 21. 1.05665 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iIjKC1LwKAMDwnnE6t0Q7Fgqs7ADAIqFEREQGcTCvHAAwrCd7rEJOpEP5U1kklIiIyBgO5pWja7QDSbERejdFM5YJrNhjRUREZCwH8yowrGcchBB6N0Uz1gms1B4rLsRMZExb0osx55n1KKuq07spRNRJDhdUmCpxHbBSYKX2WFXXsceKyIieXHUA+3PLkarmXBCRuZVX16Gksg4DukXr3RRNWSewYo8VkaEdr1Z6qthjRWQNR4urAICBVaiKZI8VkaHVuZWLnvzyGp1bQkSdIbO4EgDQv1uUzi3RlmUCK/ZYERmbd8ZusbNW55YQUWfIKlECK/ZYhaiIMDWwYrkFIsORUqKwQumpqqx16dwaIuoMh/Ir0CXKgS5RDr2boinLBFaRDpZbIDKqYmetrze5spbvUSIr2JVdhlP7dTFVqQXAQoEVe6yIjCu7tMp3u4qBFZHp1bo8SM2rwKg+8Xo3RXMWCqzU5HX2WBEZTo5fYMUeKyLzSy90otbtwajeDKxCVnS4Elg5a/ihTWQ0WSVKYNWnSyQDKyILOJSvLL5stuKggMUCK7tNoKKGNXKIjCantBrR4Xb0TohCVR2T14nMLq2gAkIwsAppQghEO+y8GiYyoOzSSvRNiEJ0ON+jRFbwyg+HISUQpY4mmYllAitA+Q9kYiyR8eSUVqNPQhSiHHyPEllBdZ0bJpsM6GOpwCo63I4qVl4nMpzs0ir0YY8VkWVEOuy4dvxAvZvRISwVWEVyKJDIcKpq3Sh21qJf1yhEhYfxPUpkcser61Be7UKfBHMtZeNlqcAqmkOBRIbjrWHVJyFSfY8yeZ3IzFLzzDsjELBYYBUTEQYnP7SJDMVbw6pvQrQyFFjnhpRS51YRUUdJzSsHAAzrycAq5HWJcqCskuUWiIzEv8cqKtwOKblYOpGZ7Tt2HA67QP+u5lp82ctSgVW3mHAUOWv1bgYR+ckprYJNAL3iIxGtrunJPCsi83pz4xHUuSVsNnNOC7RcYFVWVQeXm1fDREaRXVKFXvGRCLPbEB0eBgCo5JA9kSm5Pcow/9mDuuncko5jucAKAEqrOBxIZBTeUgtAfbFATjIhMqcDuUp+1RVn9de5JR3HUoFV12glsCrhcCCRYeSUVaFvVyWw8q7pyaFAInNKzVcCq1P6dtG5JR3HUoGVt8eqmIEVkSG4PRLH1KrrQH2PFQMrInM6mFeOMJtAcvcYvZvSYSwVWHl7rBhYERlDQXkNXB6JvgneHislx4oLMROZ08G8CiQnxiA8zLzhh3n/sgDiIpUP7fIafmgTGUF2aSUA+AVW7LEiMrOdWaU4pU+83s3oUJYKrGIjlMCqopqBFZERZJdWA0D9UCDLLRCZVmFFDfKO16BLlEPvpnQoSwVWMWpg5WSPFZEhZJfUFwcF6nusOCuQyHy8S9mcNiBB55Z0LEsFVuFhNoTbbahgjRwiQ8gprUJ8ZBjiIpUrWO/FD3usiMznh9QCAMD4wd11bknHslRgBQAxEXb2WBEZRI5fDSsAiAizQQhwIWYiE1q+IQOAssqCmYXp3YDOFhMRBmcNr4aJjCC7tAr9utYHVkIIRDvs7LEiMqEecRGIDg+DEOZcysbLcj1WXaO5XiCREUgpkV1ahd5dohpsjwoPQ2UdAysiM6lxuZFTVm36YUAgiMBKCPG6ECJfCLG7lf3OEkK4hRCXatc87SVEO3CcS9oQ6a60sg7l1S4M7N5whfvocDuT14lMJi3fiVqXx/SJ60BwPVbLAcxpaQchhB3A4wBWadCmDhXlsONwQYXezSCyvJwy74zAhj1W0eF2LsJMZDL7c48DAE7qFadzSzpeq4GVlHI9gOJWdrsVwEcA8rVoVEdavTcPx6tdvhW2iUgfe3KUD9rGgVVUOHOsiMxmf245wu02JCeadykbr3bnWAkh+gK4GMCyIPZdIIRIEUKkFBQUtPelT4h3vUAWCSXSV0F5DQBgQLemQ4EMrIjMZXtmCU7uGw+H3fyp3Vr8hc8AuFtK2eonoZTyZSnlWCnl2KSkJA1euu0WzhkJACivYZ4VkZ5yy6oRHxnmu9jxigkPY0kUIhNxuT3YmlGCkb3MvZSNlxblFsYCeF+dPpkIYJ4QwiWl/FSD59ZcrLpeYAU/uIl0lVVSiX5do5tsj40M4/uTyEQ2pyvZRMN6xOrcks7R7sBKSjnIe1sIsRzAl0YNqgAua0NkFEeKKjGyd9NE1tgIBlZEZvLsmlQAwOxTeuncks7RamAlhHgPwFQAiUKILAD3A3AAgJSy1bwqo/EuxFzOHCsi3UgpkXu8GueN7NHksdgIZShQSmn6QoJEVhCvLrrct9FEFbNqNbCSUl4Z7JNJKa9vV2s6QUK08h9cUskioUR6qahxobLWjZ7xEU0ei4kIQ51bosblQaTDrkPriEhLOaVVOHe4PnnVejB/en4jcd4cK/ZYEekmp7QaANAzwJphsRyuJzINj0ficGGFZfKrACsGVhFKj1UF1wsk0k1qfjkAYGiAD9v6wIrvUaJQl11aheo6T8D3ullZLrCKdNhgE7waJtJTZnElAGBg96bFAr0TTFgShSj0Hcxr/iLKrCwXWAkhEMNZR0S6OlpcicTYcF/vlD/vcD17rIhC36o9uQCA4RZYysbLcoEVAMRHciFmIj1lFleif7emNayA+h6rCvZYEYW8/6ZkAVC+d63CkoFV99hwFHNWIJFuMosrmyxl4xUbocwEZB4kUWjzqGvyXjCmj84t6VyWDKy6RoejxMnAikgPdW4PckqrWwislCtb5kEShbajJUou5cQh3XVuSeeyZGCVGBuBvOM1ejeDyJJySqvg9sgWhgLVHiuWRCEKaT9nlgAAhve0TuI6YNHAqluMA6VV7LEi0oN3RmBzPVYx4UqO1Zp9eZ3WJiLS3sc/ZwMAhiQxsDK9LlEOVNd5UONiDgdRZ2stsLLZlGVsat2eTmsTEXWMuMgwJESH692MTmXJwCo8TPmz88o4HEjU2TKLKxFut6FXgKrrXgnRDmzPLO3EVhGRlmpdHvyQWohuMdYKqgCLBlb7jykFy55cfUDnlhBZT2ZRJfp1i/L1TAVSWqmUWpBSdlaziEhDe3LKAADXTkjWtyE6sGRgNevkngAA0fznOhF1kJZKLXj9/pxBAIDKWg7XE4WinVlKYDVvdC+dW9L5LBlYTR6mrLJ9cp94nVtCZC1SSmQWtR5YeZNdS1nIlygkpRc6ERNub3HI36wsGVjFhNsRbreh2MkPbaLOVFZVh/IaV6uBVVS4UnLBu84YEYUOKSWWb8iAs9YNYcGhIUsGVkIIdI1xsEgoUSfzzghsroaVl13Nv3pq9cEObxMRaetXL/wEwFoLL/uzZGAFKNXXuawNUedqrdSC1/zRvQEAo/t16fA2EZG2flHzqz7640SdW6IPywZW3WLCUcweK6JOday0GgDQJyGqxf2EEAgPs2HNXhYJJQo1sRFhGNg9Gl2irbPwsj/LBlaJsREorGAdK6LOdKysGlEOO+Ijw1rdt9blQX4536NEoaTYWYuKGhcuH9tf76boxrKBVVJcBAr4oU3UqdILK5CcGBNUQuspfZVZu6xlRRQ69uYcBwAkd4/RuSX6sWxglRgbgcpaN5w1XOiVqLOkFzoxOCm4D9wLx/QBAFTwPUoUMp77NhUAcNagrjq3RD+WDayS4iIAgMOBRJ2k1uXB0ZIqDE4MLrBKjFXeo0UVzIUkChVbMooBAEnq+9eKLB9YLf5sj84tIbKGzOJKuD0y6B6r7rG8+CEKJS514fST+8Rbsn6Vl3UDK/VDe/3BAp1bQmQNhwsqAACDEoOrbZMYqyzeysCKKDSkFTgBADdMGqRzS/Rl2cBqZK84vZtAZCnbMksAAIPaOBRYyKFAopBw8zvbAACj+1q7/pxlAyubTWDKcGXNwMpaJscSdbSX1h0GAHSJCq62TbcY9lgRhRJvj9XwntasuO5l2cAKAP5PrbORklGic0uIzM3jaXvJBIfdhu4x4cgtq+6AFhGRlkrVlUzmntLL0vlVgMUDq9MGJAAAjhQ5dW4JkbkdO64ER5OGdm/T70U67Nh2hBc+REb35c5jAIDfTrZ2fhVg8cCqT5dIhNttyCqt0rspRKaWo77HFkwZ0qbfyy6tQmp+Bd74Kb0jmkVEGvn7p7sBAGP6JejcEv1ZOrDyrkf20rrDOJRfrndziEzLG1j16RJ5Qr+/R63mTETG89bGDN/t8DBLhxUALB5YAfVVne/4306dW0JkXkeKKgEAfbu2vPhyY9sXzwQAjOodr3mbiEgb96n1IN+5cZzOLTEGywdWXjuOlurdBCLT2phWhN5dIhEd3vriy/68Mwgf+nIvquvcHdE0ItJAfGQYJg1N1LsZhmD5wOrO2SP0bgKR6WUWVyI+MrgyC/5stvrZRTuzyrRsEhFpwDtr99Iz++vcEuOwfGB1y3lDMWGwMlNpL/M4iDTncnuQU1aFCUPaNiPQq586fJhdWqlls4hIA5e8uAEAcO6IJJ1bYhyWD6wAYPpJPQDUV4YmIu3syi6DlMr6YSdizV/PhRD1eVpEZAzVdW5kqxNTpgzjMKAXAyvAdyX9yc9ZOreEyHwe+nIvAGDECS4jFemwQ0rgmTWpWjaLiNpp5OKvAQBTRyRZviiov1YDKyHE60KIfCHE7mYev1oIsVP92SCEGKN9MztWv4RoAMDPmUxgJ9Jany7KUF571g+z8TObyFC+P5Dvu/3oxaN1bInxBNNjtRzAnBYeTwdwrpTyVABLALysQbs6VZfo+qTaWpdHx5YQmU9BRQ3OSu7ariva22cMB1C/bAYR6evGN1MAAPNP7Y0+CW0ro2J2rQZWUsr1AIpbeHyDlNKbnLQJQD+N2qaL/blMYO9In/+Sg0Wf7NK7GdRJ6twe7M4uw0ntrEM1sLvSq5yaX6FFs4ioHaSUcKnrfz5/5ek6t8Z4tM6x+h2Ar5p7UAixQAiRIoRIKSgo0Pil28e7IPPVr27WuSXmdtt72/Hu5kzUudkzaAW7s8tQWevGuEEnNiPQa0hSLABg/UFjfW4QWZF/2gxzq5rSLLASQpwHJbC6u7l9pJQvSynHSinHJiUZa2rmonknAQDKq106t8QavLVPyNy8H8BnDerarufppS6Fs2pPbrvbRETtszVDGcT64k+TdW6JMWkSWAkhTgXwKoCLpJRFWjxnZ4uNrK8I7VG7OElbLr9eqnP+sVbHllBn+XZfHgCgR9yJrRHolRgbgZhwOyYPNdYFGZEVLf1qP4ATn+lrdu0OrIQQAwB8DOAaKeXB9jdJH3ab8NXZ4YKvHSOzuGEdosKKGp1aQp1lQ1oR4iLatoxNc5y1brz+U7omz0VEJ+ZAbrnvNhdcDiyYcgvvAdgIYIQQIksI8TshxB+FEH9Ud7kPQHcA/xZC7BBCpHRgezvUjJN6AgD++J9tOrfEnL7br0zP9U6d93+DkvmUV9cBAH4zYaCmz7vvGC98iPSyRR0G/Mclp+rcEuMKZlbglVLK3lJKh5Syn5TyNSnlMinlMvXxG6WUXaWUp6k/Yzu+2R1jwZTBAIDs0irNyi58uj0byQtX4D+bjmjyfKHsvS2ZAICPbpoIQJkosCW92QmnFOJ2ZysB0LhB3TR93hInSy4Q6SUtvwIRYTZcfEZfvZtiWOzH8xPjN2Qx/O/NTm5sk8e/Vsai//7pbny6PVuT5wxFLrcHaQVOAMApfoUiL39po69ng8zlylc2AQBO7ZegyfM9calyhXzVq5tRzOCKSBfLN2RgSFIsHHaGD83hkWnkjRvO8t3WYuba0B6xvtvvbs5s9/OFKu96Ut1jwuGw2xrk3dz4ZgoO5pXDzUkDptQtJlyT5/nV6fVXyNe/sUWT5ySi4KUXKhfH1S63zi0xNgZWjZw3ogcev0Qpz7/jaPsWZV67Px8/pBb67nvHpndmlSKrxFoLymaXKIHVv9RicgvnjfQ9tjm9GLOeXo8hi1YieeEK7Moq06WNpJ3jai/kJWdoVy/Y/wp5J88Rok5314e/AAAeuOBknVtibAysAvD2Mv3xPz83KBHQVt4K4z3iInzbkheuwIXP/4TJj1ur3EDucaX3r6daj+jqcQOR/ti8gPs+9tW+TmsXdYzD6rDvrJN7avq8W+6dDgCxV/L6AAAgAElEQVSICLNxlQSiTvTtvjxszVA6G04foM3wvlkxsArAf/mNofeeWK6VlBLH1KHETfdMx8c3T9SkbaHqr/9VrnR6xdfXMxJC4IIxfZrsyym8oe/571IBAIMSYzR93h5xkbjirP6ocXkw55kfGFwRdZIDefWzuOMiHS3sSfwGCyA6PAwvXXOm7/6J1FvyJmoDgM0mMJKF1AA0nCAAKEOD918wCnfOHoGL1RwaZw2r34e6NfuU0hr9u0Zr/tz9u9U/55xnfsAXv+Ro/hpE1FBuWTXiIsOQsXS+3k0xPAZWzZh9ci8MU4cEs9T8oLbwXkk/e8VpAJRgbf+SOQ32sUoA4f07m1tS6oZJg3DLeUPx9P8px2prRgnOe/L7Tmodac1/5YKocLvmz58Y2zAZ/tb3tkNKTnwg6iif7cjGWxuPcMm3IDGwasFStQDaidTNefUHpUL03FN6+7ZFOuzYcd9MzFbzTlbsOqZBK41vV7aSaHzHrBFB/056oZM9ESHKeyHywAWjOuT5z0pW6mKdMyzRt827xAYRae/P7+8AAEwf2UPnloQGBlYtSIpVks6XrNjbpt97f0smdhxVFp9tnC+UEB3uCzDsFlkV/KlvlJWO+iZEtbrv9sUzfbdvfW97h7WJOs6mw8pyoacNaN/Cy80ZnBSLjKXz8fbvxvm2vbT+cIe8FpHVVdXWl1Z47fqzWtiTvBhYtaC7OuRwuMDZpoWZF368q8XH+6l5J96Zcmbnra5+0WlNE9Ub6xoTjgMP1w+Zsnho6Lnro50AgOE9Y1vZs/38r6C9AR0RaedwYQUA4Dm1VA61joFVC/wTrQcvWhl0Hoe3IOLhRwOXE4gKtyM8zIbvD+T7tp39yBokL1zRjtYak//SQCLIHrqIsPq8nI+2ZWneJuo4/u+R6HBtFl9uif8V9LWvBV801OX2IKe07bmTRFYz/7kfAQADumk/EcWsGFi1Yu4pvXy3Sytb7z05kFvuW27DZms+kOgWHY7qOo/6vLXIL1dmHu7MKm1Pcw0no0iZHektuhqsv84cDgB44Iu2DcOSvrz5VZeeqV1h0NbsfnA2AKDW7cFvXt0cVMD08Ip9mLj0O5RWcmkcoub4X+wHk8pBCgZWrXj04vqAYMHbKc3u98Dne5C8cAVmP7M+qOc9d3gSdmWXQUqJ7w8U+Lav3pN34o01oNQ8pRvZf33AYNw2fRgApRAkhY79uUqtmyvPHtBprxnr17P846FCTFz6HZIXrsDqPblYf7AAR4ubrnLwzV7lfbZ6Tx5u+s825FlkWJ4oWCnqSiFeSX6Frqll/NZqRdeYcLxw1RkAlDIAmUWVvpwhL49HYvmGjAbbvrx1covP+0HKUQDAoHtW4vYPdvi2P7/2EADgYF45kheuwJR/hHaF9tT8cggBDEk6sXybGpcHde2ofk+d64BaZmSEAeq2LXh7G659fQvOCfAeqlBLgNz10U58tTsXt79f/x7MKqnExjTma5G1XbpsIwBlAtame6br3JrQwsAqCPNG1w8HTnliLS5/aWODx//+2e4mv9NaD80iv7XyGvtmbx5mPa30fGUWVyKtoKItzTWUZ9akQkql1MSJev47JdisrnPjnc1H2jSRgDrP098cxJOrlRmgsREdn1/lb/+SOUiIDq4adHqhE2VVDYf1N/olvk9+fC2ufGVTg/xAIqva9cAs9OoS2fqO5MPAKghCCLx67dgG25IXrvD9vLs5E4CSF/T17ecEVZl2wZQhzT72+7caDjlO/+e6E2i1/qrr2rcCurfX79lvU5FVUoln1qTi3k924/rlW+FmcGUon+3IxrPfpur2+pEOO7YvnonUR+Y2KcTbWHPFZ386VNjg/oHc8oD7EZndVnUY8Ozkbg0mE1FwGFgFaVSf+Fb3uW36MIzs1fp+gdw+Y9gJ/Z6RrT+o5I4t+dUpJ/T7/ssATX58rS8PZv3BAgxZtBIb0gqxN6d+rbjd2WXIZ66MLlbsrC92678cVGcSQsBhtyHSYcc9cxv2CBepy1I1ntl75dn94bArk0yufnUzbvrPNt9jFzz/I655bTM+3JaF5IUr8PL6tICvK6VkLyqZRmFFDS5ThwFvmtp8BwA1j4FVkPokRGHJRSc3qPbsb8VtLedUBZL+2Dz8vHgmMpbOx+0zhiPt0XkNln3599Vn+G4HSsA1uky1zf4zK9sizN7w9Gw8nHjVK5sx77kf4HJ74PFInP+vH3H2o9822Me/uB11DCklVqvJ4L/cPwuzTz6x/28tzWl0zt37yW5IKTHonpW+bW/+9mw89utT8eZvz/Zt+2p3boPf+yG1EHf8T1lA/NGVTau7bz5chEH3rMTgRSvhcnuwIa2QMw0ppP3FL+e3ue87ahkDqza4ZkIy3v7dOOx5cLavHAAAzBrVEyf3adusN0C5wvbWvAIAu00g9eG56BEXgS9vnYx5o3v7lr95a2NGe5vf6f6z6Qh6xEUgMfbEZ5OM6Vd/XPfmlAXc588f7EC23xT7GpcSTL3xUzpOuu9rJC9cgd8u34rnvk3Fip3HOIyoMe+SRQDQJcoYq94P7B6DXQ/Mwra/zwAAfL0nt0FQ9cJVZ+Dc4UkAgPGDugf9vMkLV+DhL5USID8dKsT/vbzJ99jv3kzBVa9sxmkPfeNLjm+PxZ/uxlWvbGr3kDpRsHZnl+GH1Poh8cYXtxQcHrUTEBMRhlvOG+q7v+w32g19hNlt2HLvDF/yu7fa7Svq2oOhoqrWjYyiSnSNDm995xZ89qf6nsBfspQv8E9vmdRgnxU7j+FoSX2P3s9HSvGHt1PwoF8NrO/25+Opbw7ilnd/xpBFK/GbVzcDUHpb1u7PZ7DVDv9UE9b/+4cJOrekobhIB7o3E9T7T0ix2QRumJTc4PH9S+Zg1e1TAv7uqz+m45rXNuNq9RzyWnewvmzKKfevwqUvbgi6rbUuD1Lz6nO6alxuvL3pCDakFeGldS0v19OWUhFuj+QsW2rWze/8DEAprdBariI1j4HVCbLbBNb89Vws+80ZLRYCbS//xMEPtmZ22OtoqbrOjZPu+xoAMG9071b2bt1t04Y2uD86wIzLq16p/5K78pVNWNVKPbAf1UTlhR/twg3Lt2LpV/va3U4r2p1d5gsozhzYMWsDtlfjmloHHp7TZBWAxfNH4e45Sl7Wxaf3RaTDjhG94rD+zvMCPqf/VX1zUo6UILes+aCnzu2BlBI3vLEFU/6xFjOfXo/dau/fgrfqc71ySquaXfXhi19yMO7Rb3Hre9t9eV7FzlokL1zRIO8NUC4ihixaiWH3ftVq28maBifFAAC23jujXTO5ra5z50SbzNAesRjao+PXQztvRBLWHijA3R/twvSTeqJ7THjQy8Po4cLnf/Td/v2UQe1+vr/OGoEJQxJx5SubkBDtgN0msOXe6SirrMPMp4MryBrI2gP5vnpidlv9NYaUEsfKqtGHlYZb9dCX9b2C9g68wGiPx349GikZxUjNr8Bdc0YEnOVkswncNHUIrho3AFF+XygJMcrQ5qxRPdE9Nhz7c8uxPbN+dYQ+XSLxw93TMGTRyibPCQAzn16HXQ/MbrDt8mUbsaVR8UWv8//1I7rHhKPIWZ+n9UHKUXy8PQupjyhLZG1MK8KVr2xCdLgdlWoO4Re/5OCLX3KQsXQ+fkhVAt1b3v0Z5wyfBQA49YHVDV5ne2YJTu+gRbIpNF3y4gZsO1KCcYO66d2UkMceqxBwwZj6xYvHPrymQa4IAOw4WorDBqp1dVCttr5gymDN1oubMKQ79jw4G9sXzwQA9IiLxLCecUh/LPB6jABw5+wROPTIXLx+fX2pjDtm1efG3fDGVt/tZevSfFf8q/bkYeLS77By1zHsO1Y/6/DnzBLszi6DxyOxP/e4b9ajVRU7a33Fco0+bPDNX89FxtL5uHnq0Bb36xLlQLhftf/4SAe++NNkPHvF6Xjs16fik5sn4bXrlPMpNiIM6+86D3abwKxRPX2/87DfLNjyapdv6K3W5cGCt1KaDaq8/IMqrzq3hJQSn+3IxpWvKHldlQEmZiQvXIEXv6+fvXjqA6ubBFUAcPG/N2DlrmNNtje279hx3PG/X+Di8KFpOGtcOFpciRJnLVbtUSZrrN6Ti21HSgAAPeJZs6q9RLALC2tt7NixMiWl+SViqF52aRUmLf2uwbYv/jQZu7LLsOiTXb5tGxZOM0Qvi3d9qWDqeWmhosaFU+5fhdeuG4s7P9yJYmctXrl2LGb6fdm9vTEDiz/bg30PzUF2aRVmPNW0NtifzhuKO2aPwH2f7cZbG4/4tj952RicNyIJZz68BoDSU3koXwke754z0pJTkssq6zDmIeULe9aonni5UZ03q3F7lGG2qSOSsPyGs5ssqJ4Q7QhqrVF/L1x1Bm5592ctmxlQ+mPzmu0Bn/nUOqSq5/r+JXOwJb0Y5wxLNHSPeSBllXW4ZNkGHMqvwAMXjML1k9rfkx5qKmpcOFLk9C2q7LVh4TT8dKgQd364EwCw76E5iArnMGAgQohtUspWP+wYWIWIDYcKcVWjZNlAOiuYaclpD63G7FG98Pilp3b6a+eWVeP9rZm4bdqwJrlvUkrfF8KFz/+InVkNZxk+eOHJmDGqJ371wk8oUBfFDkbG0vm+wG3LvdPRI671K76X16dhWI84nDeyR9CvYySD71kBb77/TwuncYFWKLWy4iKVHq8t6cVNVmjwN7xnrK9nN5DXrhuL6Sf1xKSl3zWY8RrIonkjsXpPHlLUHoe2+uimibjkxQ3o1zUKP949DYCS/3Uwr7zJl7CX/+eMlBJpBRUY2kOpO+cNKqPD7Xjzt2djaFIsusa0bxJLe51839dw+vXwGeFzsrPNeWa9by1Pf7dNG4rn1NUtUh+ZCwdnAjYr2MCKRzBETByaiA8WjMd7vx+vd1NaVFhRg9LKOgzXaa24Xl0icfuM4QEnFPhfZS+5qH64xjuMdf/nezBp6XdtCqq8Fn+2BwBw9iPf4qV1gQtJei39aj8eXbkfNyzfGvDxZ9YcxITHvm02YVlvP6YW+oKqm6cOYVCl6h4b4RtGPHtQN/xy/ywE6tjpEReBx349Gjvum+nbdvnYfnjj+rOw84FZSH1kLqafpPS2rrtzKt65cVyT58hYOh/7l8xB6iNzsWDKEPxpWtMhzlf8ehG9i8n/I8DFziXq7MWskioUVdRgzIOrMezer5oNqhp7Zk0qZjy1Hi+vT8PXu+uHFytr3bhs2UacvuQbXPT8jwGHEytqXJj25Pe+VSxySqvgcnt8+76w9hCSF67Aaz+mI3nhigYzL4NV4qxtEFRZweo9uchpFJAHCqoA+IIqAAyqNMLk9RAybrBSb8d/WOHuOSMxNrmrr1Luip3HsOlwEWaO6olrX9+CN64/C11jwjGwW3SHXzW6PdKXkzS8Z8cn9beH/0rtbZn9MuOkHlizLx+Akrjs8khkFDob7PPYV/vxh3OV4cFD+RWodXl8lftzy6qxzC/w2ny4CCN7x/vqP417dA3yjiuB3aB7Vhryyvo3r9X3nN41p/k1L62uS5QD6Y/Nb1CY9MtbJzdYR/TjmydicGIMEpopSxJmt2HS0ET89w8T8OmObLy7ORPvqoGW/3k7eWgi/j7/JIwf3B3n/+tH9O4SiZmjejY4f64ap8yOnDe6N44WV2Lusz80eT3vcHdr1uzNQ1JcBLrFhCPliJIzFqiAqtcvWWU4WlKFQYnKrLPqOjeOlVVjQ1ohDvu9fyb6pTw8cempeGLVAQDAEnWSxHWvb2nxPfHZjmz8+f0deH/BePw35Si+P1CA4gA5a1/uzMH5pyq5q8kLV2BYj1h889dzg/rbjeB4dR3iI5vWjFu1Jxd/eLt+Runnf5qEU/p0wa3vb2+wn//nGGmPQ4EhqnEe07R/fo/DBc6WfgU7H5gV8M2ohcZVrTfdM93wC3eu3HUME4d0R0J0eJOcGK9Xrh2LZ9YcxB516Zz0x+bhN69txsl9uuDl9S3XFzr86DwM9pstlhQX0Wxv2Hd/OxeRDnuDLxbAeEMWdW6Pb7q+VXNVToS3Tlp7Zk5KKVFd59Es/6Xxe7Y5fROicP3EZDz+9X5MP6lHk1Im4XYbaoNIbp8/ujdeUFeT+MsHO/DJ9uwTavdHN00MWNrjeHVdwER9f1OGJ/kmnQzsHo3JQxPxjrrWa0fmFtW43Hhp3WH0jI/A3R/twra/z2i2xlpr/vB2ClbtycOlZ/bDk5eN8W3fk1PWai/jyF5xePKyMb7g3vu5t/GeaegRF2nYmb1GwaFAk9t67wxsvXeG7/75QdSLeqWVQKA9Xlhb350cbrehZ/yJV1vvLPNG9/b1FKy7cyoAoHeXSGQsnY/PbpmEJb86BTNH9fQNxUwc0h1CCLxz43gsmncSZpzUMD/qrjkjGtz/37ajDe63NMQ47Z/rmgRVAAy39qF/DSQGVcGz20S7v7SEEJp+8Qsh8KLfslm9mpkNtuav5+L3Uwbj0KPz8OwVpzd5PFBQFeiCYMWuY9hxVClV8emOtgVVD110Mn51mtLD9NjKfXh7Y4bvMSmVnvK5zzTtgfN38OG5uOSMvr77R4oqfUEVgCa5bNV17gaFg09a/DWWftV8r1wgLrVW2Td78/DUNwdx90fKZKNgewa9yqvr8O7mTLy1McMX2H64LatBuoB/UNX4s8nr69unNOgx3b9kDvYvmYPeXaIYVGmIgVWISoqLaDCc9ccgZqb967tDvuVetJRZVIkn1erbgPJBG2qzhgZ2j0HG0vnYeM90AMCY/gm4ZvxAAEBCdDgyls7Hu43y216+puGFyw0TB+Etv3XnvB+igXgDuUBunFwfsNywfCucNS6UVtbivs92I3nhCt+Cwp3Nv1fvgQtG6dIG0tbc0b3x4IUnY8ui6cj1C+Kfu/J0PHHpqfjLjOENgrnWhs2vmzCwSVDlf/9XL/yEtIIKNB4o+fHu83y9L3GRDTNUlvzqFFw7IRnPqEFdypESLP5sD5IXrkBKRjEG3bMSc5/9IWCS/zXjB+LuOSNx8OG5CA+z4aLT+jbZx2tDmlL09YlV+3HNa5sxcvHX+Nt/lXXzvt6di6o6d4Nh/JZsSS/GtH9+j6H3foVB96zE8355TF6BhigbW3+wAF/vzsXoB1Zj0Se7cJ+ay+n1xk8ZAJScKq8PFozHq9ed1fTvWzitybZIh52FQDsAhwJN5NPt2bhdXUDzztkj8NtJg3wV0P1pPbz0z9UH8C+/D47BiTH47o6pmr6GUd3z8S6k5pXjw5sm+rZtO1KMS15sfkaY9/iXVtbieJULU55Y2+Tx7/bn4bfLA78/5p/aGyt2HsOXt05Gj/iIoGYhtsfbm45g+5ESfOw3dGO0IUpqP2/g/LeZw3Hr9GHN7rfuYAGue31Lg223nDcEV5w1AP27Rfu21bo88EiJSIe9QVA+a1RP36LdgHIh8ffzlUDd5fagqs6NI0WVyChyYtyg7g0uIJsbsvd36JG5cNa40SU6cNrDta9vCViD7o5Zw3H9pEE45f5VDbanPzavwZDprdOGIr3QiS93HsN1EwZiwpBE5B2vxnUTkwEA+3OPY04rvWdeV40b4JtY0Nj5//oBu7OPB3zMP63gH5eeirvUUglA/Xtz2bo0LP1qP343eRAWn88LIS2w3IJFfbQtCwO7R2NsslI998udOfh0ezYuOq0vbn1PSWDc+9BsRDnsbe5V8naNx0Q0vKJ8/cd0PPTlXtw8dQguPK0PRvSMC7keK63d/eFOX1X3N64/C2cM7IojRUoO3Kn9EhrsO+bB1SirUiYjvHvjOEwcqqwof+mLG4KaQn/+qb3x/FVntLpfc6SUGLxoJe6aHbgmV+MvMwZV5lRWVYfVe3Jx2dj+Le5XVFGDMx9egxevPgPvbsnED6mFWHvHVF9ieiDLf0rHA35rd/rbeu+MBsFTS258c2urSdetnZ/VdW58viMHd32kBCOrbp+C2c8oKzgMSYpBWiu5qs3ZvGg6esZHthj8nTmwq68Qp9f+JXPgsNt8Q3HN/Y0Ou0CPuEjcNWcExiZ3a1LbEAD+87txmDxM+fyoqnXj0ZX7cPuMYSecz0UNMbCiJvzf8EOSYvDt36Y22cfjkb6E6wcvPNl3Feb/+41rnTy1+gCeX3sIBx+ey9XQVW6PxD9WKVeLrfUoeRPCxw/uhvcX1C9k/NWuY7jpneAKRO64bybq3BLhYTbfDMPvD+Tj+je2YtXtUzCihfIX/0s56isO2PhLKf94Nc5+9Fvf/T0Pzm4SWJN1eTwSzloX4oKYFNO4F3bfQ3Ow99jxNq0xWVnrQlFFLXp3icRQv3y/W6cNxb++O4Slvx6NKxqtDdmc3dll+GZvHv4yc3hQPWHBePt3Z+Oa1+p78yLCbKhxKTloz15xGi46rW+zkwY2L5qObjHhza7l2Pi9Oe/ZH7DXb2WIlgq9kjaYvE4tanxV9uaGDDy7JrXBLLb7P1fG89/ZfASv/Zju2/7EqgMor66vIp1dWo1e8ZEMqvzYbQL3zD0pqGE6h92GnxfPxPIbzm6wfYZf5fjW3PfZHpz1yBrMelqpKH8ovxzXq0v2eK/GA5FS+oIqADhzyTe+PLytGcUNgqq1d0xlUEUN2GwiqKAKAKaNbHg+R4Xb27xwd3R4GPp3i0aY+p4BgH9ffQb+NmsEMpbODzqoAoBT+nbBX2YOD/iYt/foirMa9t5dPrZfi8/pH1Tte2hOg7zMKcOSACiTBpb4LXvkNe7RbxuUSogIs2HnA7Nw+4xhAWuZfXxzffrBDZOSGVQZCHusLCS7tArvbc7E8+oMvtumDcUfpw7Bn9/fgW/25rXy24FNHZGE7w8UYFBiDNZaJK+qMx0rq8KOzFJsP1qKl9cfxuShifjxUCGunTAQ984/CSXOOox/7NsGvzNxSHdsSCsK+Hx7HpyNTYeLUFRRi8vP6o+jxZU45x9rm+y39NejsfDj+uR7LnNBWiirqsO6gwWYNaqnoZKma1xuzHp6PY4UVQKo7x1y1rhwsppz5V1hwNu7tfOBWc2Wd3j04tG4atwA7M05jnnP/dDgOb0CvfemjeyB7/bn4+n/G4N5o3sHXDDc39oD+fhiRw6euGwMZ/V1Ag4FUrOaS970d8VZ/fH+1qMt7tMYc286jrPGhTc3ZuD35wyGs8aFLlEO3xXqiQ5jpD82D1szSnD5Sxvxx3OHNDvj6cnLxuDSM1u+UicKdTmlVb6SJ/6fZVkllTiQW+6rhj/qvq9RXefG4cfm+957T142Bnf87xcADYvAejwSF//7J9x3wSicObBbk9f8bn8elq077FvM3IufpcakWWAlhHgdwPkA8qWUTfovhfLp/iyAeQAqAVwvpWw1MYSBlX6q69wYubjpbEEv79TktnxhtzaTiDpOS/9PX/35nIAVtgHgn5eNwd/UL4Nv/jIFbimbzGaaf2pvvNCOxHiiULI/9zjiIx0tLmbvrHEBAGIiwuBye/BTWhHOHZ7UrtflBJHQoGWO1XIAc1p4fC6AYerPAgAvBtNA0k+gLviVt52D7YtnYt2dU33rnQXy3JVKLZnti2c2ePMHWquMOod3/bf//XEC7phVnzPy6MWjcVLveKQ/Ng/TRvZA45ECb1AFAH0SojCyVzwyls7HfX5Ts58LUBCSyKxG9opvMagClIDKm2sYZre1O6gClF6urmp5iNt4gRryghoKFEIkA/iymR6rlwB8L6V8T71/AMBUKeWxxvv6Y4+VvtYfLMC1ai2a7++YiuQAU6X/u/UoyqrqcM2EgYhQgy0mSIaG6jp3wAB6zd48/JBagDc3HmmwvfEVcnWdGxU1LiRymjYREYDOnRXYF4B/Mk6Wui1QoxYIIVKEECkFBW1fpZy0M2V4Epb95gwM7B6NAX5F/fxdflZ//H7KYESqNa8YVIWO5hKDZ4zqiQcvqr8+arxQr//vM6giImo7LQKrQN+2AbvBpJQvSynHSinHJiW1v/uU2mfOKb2x7s7zYONsEss5uU88AODla87UuSVEROaiRVGaLAD+xT76AcjR4HmJqIN8dsskOGvc7IUkItKYFj1WnwO4VijGAyhrLb+KiPQVZrc1u5YaERGduFZ7rIQQ7wGYCiBRCJEF4H4ADgCQUi4DsBJKqYVDUMot3NBRjSUiIiIyslYDKynlla08LgHcolmLiIiIiEIUF3cjIiIi0ggDKyIiIiKNMLAiIiIi0ggDKyIiIiKNMLAiIiIi0ggDKyIiIiKNMLAiIiIi0ggDKyIiIiKNCKW+pw4vLEQBgCOd8FKJAAo74XXMjMew/XgM24/HsP14DNuPx7D9QvUYDpRSJrW2k26BVWcRQqRIKcfq3Y5QxmPYfjyG7cdj2H48hu3HY9h+Zj+GHAokIiIi0ggDKyIiIiKNWCGwelnvBpgAj2H78Ri2H49h+/EYth+PYfuZ+hiaPseKiIiIqLNYoceKiIiIqFMwsCIiIiLSiGkDKyHEHCHEASHEISHEQr3bYyRCiP5CiLVCiH1CiD1CiD+r27sJIb4RQqSq/3ZVtwshxHPqsdwphDjD77muU/dPFUJcp9ffpBchhF0IsV0I8aV6f5AQYrN6PD4QQoSr2yPU+4fUx5P9nuMedfsBIcRsff4SfQghEoQQHwoh9qvn4wSeh20jhPiL+j7eLYR4TwgRyfOwdUKI14UQ+UKI3X7bNDv3hBBnCiF2qb/znBBCdO5f2PGaOYZPqO/nnUKIT4QQCX6PBTzHmvu+bu48Njwppel+ANgBpAEYDCAcwC8ARundLqP8AOgN4Az1dhyAgwBGAfgHgIXq9oUAHldvzwPwFQABYDyAzer2bgAOq/92VW931fvv6+Rj+VcA7wL4Ur3/XwBXqLeXAbhJvX0zgGXq7SsAfKDeHqWenxEABqnnrV3vv6sTj9+bAG5Ub4cDSOB52Kbj1xdAOoAov/Pvep6HQR27KQDOALDbb5tm5x6ALQAmqL/zFYC5etvyKjIAAAQRSURBVP/NnXQMZwEIU28/7ncMA55jaOH7urnz2Og/Zu2xOhvAISnlYSllLYD3AVykc5sMQ0p5TEr5s3q7HMA+KB/QF0H5ooP676/U2xcBeEsqNgFIEEL0BjAbwDdSymIpZQmAbwDM6cQ/RVdCiH4A5gN4Vb0vAEwD8KG6S+Nj6D22HwKYru5/EYD3pZQ1Usp0AIegnL+mJ4SIh/LB/BoASClrpZSl4HnYVmEAooQQYQCiARwDz8NWSSnXAyhutFmTc099LF5KuVEqUcFbfs9lGoGOoZRytZTSpd7dBKCferu5cyzg93Urn6eGZtbAqi+Ao373s9Rt1Ig6FHA6gM0AekopjwFK8AWgh7pbc8fT6sf5GQB3AfCo97sDKPX7UPE/Hr5jpT5epu5v5WM4GEABgDfU4dRXhRAx4HkYNCllNoAnAWRCCajKAGwDz8MTpdW511e93Xi71fwWSm8d0PZj2NLnqaGZNbAKNJbNuhKNCCFiAXwE4HYp5fGWdg2wTbaw3fSEEOcDyJdSbvPfHGBX2cpjlj2GUHpazgDwopTydABOKMMvzeExbETNAboIytBKHwAxAOYG2JXnYfu09bhZ/ngKIe4F4ALwjndTgN1MeQzNGlhlAejvd78fgByd2mJIQggHlKDqHSnlx+rmPLULG+q/+er25o6nlY/zJAAXCiEyoHRdT4PSg5WgDskADY+H71ipj3eB0oVu5WOYBSBLSrlZvf8hlECL52HwZgBIl1IWSCnrAHwMYCJ4Hp4orc69LNQPgflvtwQ1if98AFerQ6FA249hIZo/jw3NrIHVVgDD1BkF4VCSND/XuU2GoY5dvwZgn5TyKb+HPgfgndVyHYDP/LZfq86MGQ+gTO0mXwVglhCiq3rlPEvdZnpSynuklP2klMlQzq/vpJRXA1gL4FJ1t8bH0HtsL1X3l+r2K9TZWoMADIOS9Gp6UspcAEeFECPUTdMB7AXPw7bIBDBeCBGtvq+9x5Dn4YnR5NxTHysXQoxX/1+u9XsuUxNCzAFwN4ALpZSVfg81d44F/L5Wz8vmzmNj0zt7vqN+oMziOAhltsG9erfHSD8AJkPpUt0JYIf6Mw/KmPa3AFLVf7up+wsAL6jHcheAsX7P9VsoSYiHANyg99+m0/GcivpZgYOhfFgcAvA/ABHq9kj1/iH18cF+v3+vemwPwIQzh1o5dqcBSFHPxU+hzKziedi2Y/gggP0AdgN4G8qsK56HrR+396DkpdVB6TX5nZbnHoCx6v9JGoDnoa50YqafZo7hISg5U97vlmWtnWNo5vu6ufPY6D9c0oaIiIhII2YdCiQiIiLqdAysiIiIiDTCwIqIiIhIIwysiIiIiDTCwIqIiIhIIwysiIiIiDTCwIqIiIhII/8P2WQCEQodr20AAAAASUVORK5CYII=\n", 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