{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Using TensorFlow backend.\n" ] } ], "source": [ "import keras\n", "from keras.models import Sequential, Model, load_model\n", "\n", "import os\n", "import pickle\n", "import numpy as np\n", "import pandas as pd\n", "\n", "import scipy.sparse as sp\n", "import scipy.io as spio\n", "\n", "import matplotlib.pyplot as plt\n", "\n", "from scrambler.models import *\n", "from scrambler.utils import OneHotEncoder, get_sequence_masks\n", "from scrambler.visualizations import plot_dna_logo, plot_dna_importance_scores\n", "\n", "from apa_utils import load_apa_data, load_apa_predictor, animate_apa_examples\n" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "len(data_df) = 34748 (loaded)\n", "x_train.shape = (32992, 1, 205, 4)\n", "x_test.shape = (1728, 1, 205, 4)\n", "y_train.shape = (32992, 1)\n", "y_test.shape = (1728, 1)\n" ] } ], "source": [ "#Load APA data and predictor\n", "\n", "encoder = OneHotEncoder(seq_length=205, channel_map={'A' : 0, 'C' : 1, 'G' : 2, 'T' : 3})\n", "\n", "data_path = 'apa_doubledope_cached_set.csv'\n", "\n", "x_train, y_train, x_test, y_test = load_apa_data(data_path, encoder)\n", "\n", "predictor_path = 'saved_models/aparent_plasmid_iso_cut_distalpas_all_libs_no_sampleweights_sgd.h5'\n", "\n", "predictor = load_apa_predictor(predictor_path)\n" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "#Define sequence template and background\n", "\n", "sequence_template = 'CTTCCGATCT$$$$$$$$$$$$$$$$$$$$CATTACTCGCATCCA$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$CAGCCAATTAAGCC$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$CTAC'\n", "\n", "pseudo_count = 1.0\n", "\n", "onehot_template = encoder(sequence_template)[None, ...]\n", "sequence_mask = get_sequence_masks([sequence_template])[0]\n", "\n", "x_mean = (np.sum(x_train, axis=(0, 1)) + pseudo_count) / (x_train.shape[0] + 4. * pseudo_count)\n" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "#Visualize background sequence distribution\n", "\n", "plot_dna_logo(np.copy(x_mean), sequence_template=sequence_template, figsize=(14, 0.65), logo_height=1.0, plot_start=0, plot_end=205)\n" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Mean KL Div against background (bits) = 1.8729476983107292\n" ] } ], "source": [ "#Calculate mean training set kl-divergence against background\n", "\n", "x_train_clipped = np.clip(np.copy(x_train[:, 0, :, :]), 1e-8, 1. - 1e-8)\n", "\n", "kl_divs = np.sum(x_train_clipped * np.log(x_train_clipped / np.tile(np.expand_dims(x_mean, axis=0), (x_train_clipped.shape[0], 1, 1))), axis=-1) / np.log(2.0)\n", "\n", "x_mean_kl_divs = np.sum(kl_divs * sequence_mask, axis=-1) / np.sum(sequence_mask)\n", "x_mean_kl_div = np.mean(x_mean_kl_divs)\n", "\n", "print(\"Mean KL Div against background (bits) = \" + str(x_mean_kl_div))\n" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "#Build scrambler\n", "\n", "#Scrambler network configuration\n", "network_config = {\n", " 'n_groups' : 5,\n", " 'n_resblocks_per_group' : 4,\n", " 'n_channels' : 32,\n", " 'window_size' : 3,\n", " 'dilation_rates' : [1, 2, 4, 2, 1],\n", " 'drop_rate' : 0.0,\n", " 'norm_mode' : 'instance',\n", " 'mask_smoothing' : True,\n", " 'mask_smoothing_window_size' : 5,\n", " 'mask_smoothing_std' : 1.,\n", " 'mask_drop_scales' : [1, 5],\n", " 'mask_min_drop_rate' : 0.0,\n", " 'mask_max_drop_rate' : 0.5,\n", " 'label_input' : False\n", "}\n", "\n", "#Initialize scrambler\n", "scrambler = Scrambler(\n", " scrambler_mode='inclusion',\n", " input_size_x=1,\n", " input_size_y=205,\n", " n_out_channels=4,\n", " input_templates=[onehot_template],\n", " input_backgrounds=[x_mean],\n", " batch_size=32,\n", " n_samples=32,\n", " sample_mode='st',\n", " zeropad_input=False,\n", " mask_dropout=False,\n", " network_config=network_config\n", ")\n" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "scrolled": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Train on 32992 samples, validate on 1728 samples\n", "Epoch 1/10\n", "32992/32992 [==============================] - 185s 6ms/step - loss: 0.4543 - nll_loss: 0.4180 - entropy_loss: 0.0363 - val_loss: 0.3806 - val_nll_loss: 0.3577 - val_entropy_loss: 0.0229\n", "Epoch 2/10\n", "32992/32992 [==============================] - 160s 5ms/step - loss: 0.3571 - nll_loss: 0.3317 - entropy_loss: 0.0253 - val_loss: 0.3398 - val_nll_loss: 0.2756 - val_entropy_loss: 0.0643\n", "Epoch 3/10\n", "32992/32992 [==============================] - 160s 5ms/step - loss: 0.3241 - nll_loss: 0.3034 - entropy_loss: 0.0207 - val_loss: 0.3294 - val_nll_loss: 0.3139 - val_entropy_loss: 0.0155\n", "Epoch 4/10\n", "32992/32992 [==============================] - 160s 5ms/step - loss: 0.3025 - nll_loss: 0.2845 - entropy_loss: 0.0180 - val_loss: 0.3062 - val_nll_loss: 0.2910 - val_entropy_loss: 0.0153\n", "Epoch 5/10\n", "32992/32992 [==============================] - 160s 5ms/step - loss: 0.2870 - nll_loss: 0.2709 - entropy_loss: 0.0161 - val_loss: 0.2959 - val_nll_loss: 0.2778 - val_entropy_loss: 0.0180\n", "Epoch 6/10\n", "32992/32992 [==============================] - 160s 5ms/step - loss: 0.2760 - nll_loss: 0.2618 - entropy_loss: 0.0143 - val_loss: 0.2866 - val_nll_loss: 0.2700 - val_entropy_loss: 0.0166\n", "Epoch 7/10\n", "32992/32992 [==============================] - 160s 5ms/step - loss: 0.2667 - nll_loss: 0.2537 - entropy_loss: 0.0131 - val_loss: 0.2962 - val_nll_loss: 0.2895 - val_entropy_loss: 0.0068\n", "Epoch 8/10\n", "32992/32992 [==============================] - 160s 5ms/step - loss: 0.2593 - nll_loss: 0.2471 - entropy_loss: 0.0122 - val_loss: 0.2728 - val_nll_loss: 0.2558 - val_entropy_loss: 0.0171\n", "Epoch 9/10\n", "32992/32992 [==============================] - 161s 5ms/step - loss: 0.2536 - nll_loss: 0.2421 - entropy_loss: 0.0115 - val_loss: 0.2862 - val_nll_loss: 0.2788 - val_entropy_loss: 0.0073\n", "Epoch 10/10\n", "32992/32992 [==============================] - 161s 5ms/step - loss: 0.2473 - nll_loss: 0.2364 - entropy_loss: 0.0109 - val_loss: 0.2740 - val_nll_loss: 0.2565 - val_entropy_loss: 0.0175\n" ] } ], "source": [ "#Train scrambler\n", "\n", "n_epochs = 10\n", "\n", "train_history = scrambler.train(\n", " predictor,\n", " x_train,\n", " y_train,\n", " x_test,\n", " y_test,\n", " n_epochs,\n", " monitor_test_indices=np.arange(32).tolist(),\n", " monitor_batch_freq_dict={0 : 1, 100 : 5, 1031 : 10},\n", " nll_mode='reconstruction',\n", " predictor_task='classification_sym',\n", " entropy_mode='target',\n", " entropy_bits=0.25,\n", " entropy_weight=1.\n", ")\n" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Saved scrambler model at saved_models/apa_inclusion_scrambler_smooth_target_bits_025_epochs_10_deeper.h5 \n" ] } ], "source": [ "#Save scrambler checkpoint\n", "save_dir = 'saved_models'\n", "\n", "model_name = 'apa_inclusion_scrambler_smooth_target_bits_025_epochs_10_deeper'\n", "\n", "if not os.path.isdir(save_dir):\n", " os.makedirs(save_dir)\n", "\n", "model_path = os.path.join(save_dir, model_name + '.h5')\n", "\n", "scrambler.save_model(model_path)\n", "\n", "pickle.dump({'train_history' : train_history}, open(save_dir + '/' + model_name + '_train_history.pickle', 'wb'))\n" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Loaded scrambler model from saved_models/apa_inclusion_scrambler_smooth_target_bits_025_epochs_10_deeper.h5 \n" ] } ], "source": [ "#Load models\n", "save_dir = 'saved_models'\n", "\n", "model_name = 'apa_inclusion_scrambler_smooth_target_bits_025_epochs_10_deeper'\n", "\n", "if not os.path.isdir(save_dir):\n", " os.makedirs(save_dir)\n", "\n", "model_path = os.path.join(save_dir, model_name + '.h5')\n", "\n", "scrambler.load_model(model_path)\n" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "#Plot training statistics\n", "\n", "f, (ax1, ax2) = plt.subplots(1, 2, figsize=(2 * 4, 3))\n", "\n", "n_epochs_actual = len(train_history['nll_loss'])\n", "\n", "ax1.plot(np.arange(1, n_epochs_actual + 1), train_history['nll_loss'], linewidth=3, color='green')\n", "ax1.plot(np.arange(1, n_epochs_actual + 1), train_history['val_nll_loss'], linewidth=3, color='orange')\n", "\n", "plt.sca(ax1)\n", "plt.xlabel(\"Epochs\", fontsize=14)\n", "plt.ylabel(\"NLL\", fontsize=14)\n", "plt.xlim(1, n_epochs_actual)\n", "plt.xticks([1, n_epochs_actual], [1, n_epochs_actual], fontsize=12)\n", "plt.yticks(fontsize=12)\n", "\n", "ax2.plot(np.arange(1, n_epochs_actual + 1), train_history['entropy_loss'], linewidth=3, color='green')\n", "ax2.plot(np.arange(1, n_epochs_actual + 1), train_history['val_entropy_loss'], linewidth=3, color='orange')\n", "\n", "plt.sca(ax2)\n", "plt.xlabel(\"Epochs\", fontsize=14)\n", "plt.ylabel(\"Entropy Loss\", fontsize=14)\n", "plt.xlim(1, n_epochs_actual)\n", "plt.xticks([1, n_epochs_actual], [1, n_epochs_actual], fontsize=12)\n", "plt.yticks(fontsize=12)\n", "\n", "plt.tight_layout()\n", "\n", "plt.show()\n" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "1728/1728 [==============================] - 4s 2ms/step\n" ] } ], "source": [ "#Interpret the test set using the trained scrambler\n", "\n", "pwm_test, sample_test, importance_scores_test = scrambler.interpret(x_test)\n" ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "scrolled": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Test sequence 0:\n", " - Prediction (original) = 0.09\n", " - Predictions (scrambled) = [0.04, 0.02, 0.13, 0.19, 0.07, 0.14, 0.06, 0.03, 0.19, 0.07, 0.13, 0.1, 0.02, 0.06, 0.09, 0.23, 0.02, 0.09, 0.01, 0.03, 0.16, 0.04, 0.04, 0.2, 0.02, 0.02, 0.02, 0.06, 0.24, 0.05, 0.05, 0.1]\n" ] }, { "data": { "image/png": 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\n", 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s6Ic2HqYd9DfQ++xKnh4/12q6Lq1VV2MjI3IOIg/56WdhdEqcnzaSrIUSeC86HeEMdPhsLes7hWky6ZFTD6ONtX3IttcmdK2I+SRO+7ao0z4OXXRXtwLVzoDv16STYWx55M1fC2gZuIQk/3Zo+VATtbaKNaCJtVYa0AVOOpKFQmiliJwAHIRuGRIqo/2pXvA1AC91QS9j45FlA6NQG+xqT/LfSJyUBjqfcxcqqLENNwa9RORyf76si7o2QHkLwlhWEZefozIOLTAbRGSwc24Z+SigBXxHI0o2dz4AXOEcPxPhJrQXbj3aGBMov7cIfdYlmQycCdwHLh2uEV3vYi0lOQNdaO71cpiS/Dc6nFQrUiUZjc7NXkDR/Xc37qkA/BV1fAqIPIFWjOYAQxEZiA6byrouyxlfmCGbRzLP8A0Sez2dxPZXUpLj0Hn1z0b3/W3UmVoHLPPziXXBr6J7tBv3bSS0oA1OM9EK86uoY34vPeGgl2QMOrd1FXAtuAYq1xAol7GU5ATUBhaS2MC5wLYNdcsWr2hrrLTFpMHnMYK9qp2tQO3ok6iNraHo1lGSL6DzbRcDz/ve9I1FVllTQIfzxrq2OefeFZGvolM7Hsm4LiuusehIhDnAl6L4QzrNPUTZT7sKDb9DJXmuyyJdG7uhq7FxORD4VzQ9D0bLrXQaXOGnHH0aeBvc9sB9zhEayfI3DIvUo072rcBHvbQZ+Dnaez/GfwZ7PTUK85I/wr7MO6Lz4Ed52aMk827D3HnD2FrJm7/GZcFe/rpVXRnRVGsPeh06HK5Wsq5Ly8LCFGvRDO4odGujPEPcu6qXsfHIekcF1Fmaj25vVsu2MGm7yGMDsY1l6TWDZBu2LF3Xob2gQ/zuAlnxr00lxKy4RqBDnR+P4s5LnvSwubMt6rTgHO+gW4qt9cPYA1nPtd7LxqILcb03I1wd6kQ4dOub40iG+YIuMHesj2uN/+0MKrfw6wrp9zYctYHHot/zXNdelixKsgTtZSuQ2Ot8YCRvlHtz1qKre5+AOlzhvj+GOo5D0EJoAHA/ya4bRvdpQYdALyMZ5r4DOre4e0PcSzIcrYCfi26T9w20oSlu1Irzv+mo7Y8lsYGPAsf177t2EO3T1ki0wSfOs9K2WR9d92HUxkYT1qopyVWUpCeG8HZGtfy7Wnnxb2h9Y2jGddXiakN7OkeILqrV1Xx5FOpAdfRcYx3e73UdklNXY2Mh5UUSw2JwjcCqVLnVgI6YqUMX4vwefppdF/91Cpou94xkzWi+3+a/F/x/Pg2M9j3qsYMehsJPRNcsWUjitE9BGxKDo24YWyt589eu+CaZ1OqgryQp5Gu9rr4TWWiZSIfLU/BlxW/0LrLe0Tg08385Os9LbBfjyGebwcbqUrLObDP8X6xrli2uBAZIsrJ2tbjGoT2dL6KLH9bqoL/MFuqgi1CHOhbxENuVQJ1fzT2W5XlvWflMPSWJ4woVpvR1PbmabXqqTgG1gcXocP5qC8VlTfFJy4Z5XWNZE2ojOrLo4XIPenxPbbS/xzUke/QaPct4dPTLImC8Xy15G9RBH4ZId1Y4PxZNN5NRp/j3aE96Oq+DTmygT5/1WbYfGlNfQFeGDzYcbG40bZnpqB+UewZn0P2GrjxUy3NDeTEaTfPpMFmyzuICbeSIZbWWY++ijWvL/LVx2dZdXTcvRHbxWxGO6Txwr2MCav9/QB30tWjjS8xq2m9dOZT8Cy6nmYYuijwOkSZEBqMNA8H5bqLSngS116ZUGNAe9IX+CPPQp6KLEo5BJExpMYytkbz5a9pn7XK+XKuDvpwaNllPXZfucUzLQgY1CF19OVTQCyStgNUckqz4jd5F1jsqoA7BB0nmkneK72kfjK5SXE8yfLEz2ww21pCSBb0u76auIf6BVeKP41qBTuOodbG3ArA92oOyxTnoJBX8uOcv73MNNrCQZFXqdLgVaCWlHvgZWolaSWITP47CDUIbUP6vC/eRoJWmBtR5GkDiQC9HezKX03EP+gh0+HnsoMc2EOR7kGzXVEBta3dgLfPLw5sb0Px1KVpZDPd9lf9c4WXrsd0weg4d5dCCOueL/ffxqC0+SPfnoU8HfkvRPUnRvU7R3Ub7PDHO/26ivQ38GKBfn3XB9mNCHrs/ml6CjYVeQ+Ep6oB+lGQAcA3qeMZx5d7/tZtUy3P7oelB0Hymn1+Q7Sqv28qM66rFtRZ4n78uPItGdHj7WMm/BWZ4rh+h8rnGug7wuvbvgq6bG59DtyI8fFMr0gWmoqMqHvXflwP1IhVOenhH60hWc+5Oo+iewD1oz/eeJL3ha9CpW6Hu3IauIB/Kh2bgLdSOmn3+NJHEQQ896FPR0WxLsGHuxtZN3vy1gNbNdkYbXJcDdTWUCWVqddBXULkyZC3XbdOJLMzTaXbO/YVkMn4B3ev4NKpXYrPiN3oXWe+ogFZSbyFxXPIQwl0OfIjE4e3MNss2lpKF8xs70bWlE11D/Gm73lakosc2VOZuIWnh7hydnzgMOA8d5rglOujL0UrEkEjW2XuLZU0U3SL8EPmMcCGuJoru12hFZhVJL8IvIj2aKLql6H7I3SG8p5+Q2GuBZEu+Zqq/ywK6n/O30X3PG9BncwE6HD920H+HVqKCbCK6TkN/FpdXgm6m6G4ncc5GUpJ6dHst0OczlqJbA5zTrbveipHZ4uID7QkdiJZjE9C8ZAf0eR/rP7szzH0MsISStFCSxyjJVbTfQim2/dvQdQpWA6O8DfwCoF/fdVppr6SA9vTdTtLLW0AbBjTNLChXXpopuhtJGr/CVoAHduP+aqFa/r03OjcXkkaJZufcTaiuq4BRfh54Z3HtgG732JfkWRyCOpd90aHreQjP9Ra0ZzPE9Z5I1/Jzdc79BnXu8uq6+aBl5CHo6I9DNrE2XWEqug7IPP89rCsTjwYI5cpq4Ede9hbJSs+1sifaIDDHfw/p/UW0dz3UL3ZCG637kDQQzwJuQ/OloWiv+Th0+tWOfqG7XdDVqJ/AHHRj6yZv/loADgMuxDeuennNvnOtDvqr+AVQRKS/b9HNwyvARL/6adgztLyYinde1qOZ1+Tour5oxSZQrWW6YmGWVKFl9A5eAXYM7y9aDCemVgc9Pi/bZhR/mpVoIpsUhXkFGCkisZ11Vdcw5DEd/zC8HXfzvtNDJ7c4B91v6fQmyT6/kIym8c+1PAR+pIhWhCNZeoGmKM9iwNMv7bg0jsvzBjCakoyIZK+l4xKhIMJFIvxchKvDf+cg633ntYFY3g/dVzdPXJWylxmGOmPxPb2F9tDtFMneACbHUwBEGCDC8f7ezxfpcN92A3BXOkl9b/Gnn0afdwvqqDcAV6JOrPagi2yPyAf9EPi8vE2yfsBSH1fZhkWQg86/dQ3ak5ZlA+WtlQYNWPk6MEZEtwP0aatzG5tbHrqbjn8ipY1aJmfVB9L6h7pLrOtSomcR5d87hWlLHeTfPVmWVdM1rhu9kVPXzYkpaDr4FvAhNj/9d0MXhToTmHAYv13t5f8CIEJ/QpqsnGL1BuoI48PFv1VHF4jbFSiithH3oAeyGn8LGeG2RfOM09G1Iyb6ox4dbbMvNg/d2Lp5Bdg5dLZ1kL+m01tIz7FfkItaHfS5wAEiMgRdYCbvuPq56JCyj4hIE7oYzVxgbxHZBm1Zb0FbHo/wD0Bo36pYrWV6LtAiInuIyFQ0MzF6F3NRezlYRJqBQ+nZSs1cYIKI7CYiu6F7i1bgF2+bBxzubexkfx3o3MiQkLqkq3PuTbTleoaP/6Qo/hk+3RTzxFWF9tdV9sxvKTwEHC1CHxFmOMdSdJ7rDF95mU3Fc2UIcLSX7UtJmql8lweI0AicsPN/PP026rQf6StJgg4PhPY2sDMl2TWSXYO2iH4atZ13ct5Pnkp4e6dXG0BHp6R5HfTK+N6lgPaCHBHd9wtow+gRJPc4D+1N2T+SXYD24p8L/Cdd28lja6cl4zzdY76Dd8pvBS4hWSE8D/PRKTPvAL/0sseBfUUYCxx8++MHBRs4MmUDjsgGdttuznx//QwRhpI9Wqe93T3FQHTkW2xjT6H1jBmQ0/HoPnNRR3UXEdkTdZrS+gddj4zqG8+iz2KGH/o+08fVCHxYRLZDh6JvbAc9S9eFKV1nVdF1c+IQdCTD2eg9fwARQeRiRG5GZPymVa8SEQaJMF6EMb5cmopORZoO8CuOHIE2Nn/c/z4LTZPD0Z1KQnp4CJguQosIk6hc8K0jwgJxB6LlQncc9N3RhqDlaCdGAU0369HyoA/Wg25s3cxF08IHRWR7tLzNIp3e+qH5wAzfeHpS3j+s1UF/HHWQ7ycZnpOHef7zp8Df0UJkLlrZvYNkaPFcNON6AG0RHI4WQoNJhrxmFXyhsn4z8Gdqvy9jwxNs4BrUfhrQd/kVtDC+nNoqNQ/46w7052EV3Fvo2AYeR52Ph9ACcxE6FO1CkuHNnel6RQe6zkWdmYe9bovRSvOFhL1J9bjEx/XNDuJKU0Ar1A1oy3kdXR8a15v5I7qy8mK0dxH0vc1E39uB6HYwy9AVqx8isYF64E7glOi6ceh7vDSSneBlg9CFclag2zqWojCgC/58w39fjeZdfdF3V8s802BHoYLfhNpAIzp8PcsGwqI8E/21S9He18X+fKrXYzy62noD2ngRbOyraN55FcnzOcDrsiM6vP+fwNfQZw6J7f8SuMh/H4w+67f90Zbzvo2EFnS6QR36DlrQHqvz0YrxWf78DPR5/x44G3W08nCtj/Mx4D+87HHUvv9G4rTPRdPP/ahdtaE2cBZ+TuylJ3xuEZoeLgL+QTKk/b9QGzuHxMaO9rJbcWUb+4yPvw5Np++g6fiGnPfSXUJ94A/oPYVdDj6FppfbSBp1Z6FlSR2Vz+JR1OkJcf0cuM9fXwC+6L//BE3Lo9GOgYH+mlry9B/66+Ln2pGuAzJ0nVxF196LyEmI3IjIFX449SFoHe6PaL3wEOBE1F7nA9fShXmcGwIRLgGuQ/PR93yT7xTQ9LsfaguP9mfdVPTdnIqW/QeT7NrxS7ROALr1Yn8f5kHyv7c9gUdwrg/aAx6mNV2PpslTSIa4fwEta65BnfNgr40kw9fDKJyRaL37fcDvcW4oOjVrF78CvGFsjYT8tYSu+9BuhJvoqJbh6BSlgWgDdci/T0a3x3xf3j+s1ZG923+GxY5y4fd4fhRN+GEM/wNoBXEHKG8BdJf/nOY/hwOvOeeW+ziqrXj9NNor1kz+uV/GRsQ59zZaOI0isYECsMQ5txrtea6lUvOiv24xiZP1mo97ZAfXBhvew+vlvGwQvneyA11fyKFrsOHdU/E3kvSYxXEt6SCuNAXgZZxbiVZ8g6ySknyZksymJPtTkn+nJHvljL+3cDXamxVWIofkufr3Rniug0kWtLkfnZ+5A4kNhOt2Icmzgmxv/xniaiAZajgfdYi3wfc23P2t/S7fo+XhVWOGvHLDhDELrr70+NPy9ugUgBf9e1uE2kIzsBjnVqA2nGUDBa/bIn/tK6gT9lLKBlqAJV4W4ioAz+PccrRRp5Bx3+FZ9Mc/V3RIcsirJwLuvm9P/+m/tjz08qjBr5XGj3ru+tMPunj3nPfdnpJMpyRHU5I9KMnBlKTrcfVWStJMSU6Kzj+G0AI8h3Nr0N7PQWjlfgHOrfOyCYzgfezLNziM22jmRzRyaK7/LLpnUIdmCVoZOJskPexE+zK2qg0Uhr3s0ArIEJK0VUDtdSWJPY1FbWwlmv9m2ZhDG00H+bg2xuiLJ9Bhw9uiCyz28bou8nluWtdp0bV3ofnEZADn3FI0LxhNMiolXRa0oI0Ai70s3nGhM7LKgp7UtXcicoyDU95myG1r6VdYD5fdw74LD+O3fxHcrTdy5MUrqVuwjMZj7mWfq//Bnk+9zZBXUSe3NzCvjtVtE1gwtZFlhUO5Zbt19H1iB/75muDqXmfkvWge+ifUNjSfK7pXSd5RqA88hTYqD8fveZ9Th6XAZf77EuBi1OYXR2VN6EFf5MuaJSSjeZ71shfRPGIBzjmca0PT+GC0wQQ0Tf2Vyvn0hrHV4Jx7BV0EMqwVkkWYhvp8qiy4C8qjbHIjteydLiI1b7RuGIZhGIZhGIZhGFszzrlc071qctANwzAMwzAJvQS9AAAAoElEQVQMwzAMw9gw2FxtwzAMwzAMwzAMw+gFmINuGIZhGIZhGIZhGL0Ac9ANwzAMwzAMwzAMoxdgDrphGIZhGIZhGIZh9ALMQTcMwzAMwzAMwzCMXoA56IZhGIZhGIZhGIbRCzAH3TAMwzAMwzAMwzB6AeagG4ZhGIZhGIZhGEYvwBx0wzAMwzAMwzAMw+gFmINuGIZhGIZhGIZhGL2A/w+2iBZV5VzljgAAAABJRU5ErkJggg==\n", 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4jrP+1GpfmzD/ZEtK9n1AgTqhjaL7oL+GrYpclNewcPVqaa/F48YhhN9LShdEaQJOid+fqSK/2jw5p/cpVwaasOf2q8x5LaTXXRiPS7GR6Lz8cjqAleGHMmlpmf4ZNupTSddJHeiayt+EdJXwyrIaO5BViZaoe1P8flf1yzcIJmEO6A4h8DeJBmzl9nz47KuYYXwM+ENMW46NcKWkz2gCreEaEq2iXGM30ThsZHkQ5vhfhS2i1W20WwiQtqiJaVhZWkT7EfSA3UvWQb8I2AO73+eAo4FPxOuuwzo6LwWgNTxIoj2xzqrjaQ0vkujX3XVvTs8j0YKtzfAqMPTy24449MjZPwKLoNgDOA7bWrBdp9YbqweOBR4KgbUAIbQ52bOA35A66Obcvw78HtsFYSvsffkRAK3hj91zZx1SyebuBMyP52kn7YQQwjWSVmP3MlrSwLhNWTVZmwHXZ86bMCd7TkwbTWmEvRrpKu3ZuiCva2qbNo66rimgq1NvJJqErfUwELiW1rCwV/VxHKcWarWvTcCewP7xPHXMNybuulErRUfQlxBH7ST1iz26tebbPK5+mu4ZuoS4l2dcNOtN7B8wNZOvDxbilVKpZ7pNVka+U1+kZaAB2p5R3jEt6qBnz9vKZkZ+nhVYGds6c80SYCO1n1fZWV3TqI+0XKfyR6byK8mquGL7uqQO+iL+feahp0bxHoDoOLxMafuKlGXAZFrDk8CfY9qLtD1v+rzw6uh0Fc5s9MFyrEEN8P54PIGSAzwBOL9L7qQ407Dn/RAwDVv7YAzwE+BYYCJmV6cCf8JW4Z4e8+6OLZq3O5Cu+r+YRCdFZ/xdwOLonB8GnEiiQSTakUTnkuhbJNq9h+7T6Xo+gY2KNwMTxwx74Z8xfRgWbfEKVvZHxikfpwGsfbNhCPkFN62MvQ2LOpmO2bG08+hBYCqrGQ+sjOXp8yT6JYkmd+cNVqBceyBvc9O2S7a9sRTr9Nsik28JsGU6balKXdCVdVlX6ur0IhJ9JfaVmCexWXTO78Ua8Jti9YzjOPVPal8FVe1r3n6nfnbWL6iJog76QmAvScOwcMla4+oXYiFl+0iagG3rshDYSdLGWKjvJKwxeXD8BwhrgGdHyRooNaTz8idL2lbSDGCXgvfldD8LsdGVfeIzfx9d26hZCEyRNFPSNsDb85ni4m33AwfGMnZczAc2rzIta6mu7ymiawhhKeYgHRTlH5uRf1B8bw4vJytcFJTOM8/OPW+HNbymAvtiDbNpece+A+f+LYXUFuHTHwvrfDPz5xeBLSUb/Yth8P8AdsyJWQjsEa87aOxHX1iGGdpDolMirLE7Je4JnYb7zqQ0qtWK2aeuxbbLOwlpK7DnXqYMtGCO0Zz4fdOclGasLAzA7n05FuY+Kub7CrAHa9oWyuuP2dA9sZG79H96OtYJsTtwCzbn/S9RttMVSH2R5iBNzaT1QRrQTduUzQSuDYE1IbB0v+2uT3vvt6I1/BR7D17FysGmxGicfg2rX2Ldzq+tsbJzHdbROZPS4oXHAAO5nxFAvzidohmr54eRaA6JLiLRFSQ6thvuM89CYCtJLZK2wxbGy9vcQZgNOSTT3ngci0w5KIa+fyTKagT2lNSM2d6edtBTXQ8uo+uBZXTdI6Or00vE+usmLCpvMlaPHI11tu5LazgOOKmHlNkX6RKkaR1f7DhOGRZi9d1sSZOBSjvm5O13AzagdFDsPD2m1h8s2ihYgDXubge+WyBf6qT8CGv0NUZZ/bF5jz/LyJ+NheVNxRaCCljYarrfb7mKL10B9TostLWe9mR1jLQM/BgrA0OwZ3k6FsJ3AcUaNXfGfHvH87QMXI+FXFYqAwuw8M6/AUdie2QvA74BXJHT9ScVdL2wiq4LgHnYyNXeWEjLq8DXsQZwup7Ct6Oszxe473QF97lYCGRL3qmr6Ny/hZA4QeJO4PsSF2Dh2g20n8byN8x+zJUYBhwA/BWYQaLPYqu8g21lNxm4EZu/CfaMPow928HY8xZwKiU7I8z2jADOAc7o8hu17dz+Czi3yjXTgJ0xB30Uttf769i82WuwsKl0X+sfYA71DMyOPoetND2Oc9ruawat4UxsGsDLwIQ4d/h98e8HAL8Gvol1wGb3XnbWj8OAS4BrKUWCnY7Zhy92w++1twW2heDDWCdh+vfHsM6vY4kjtY0Dly8GWiQrMxKDsLD2PpQ6L2dhZXMy1tEJdzA0XrM1reFobCGzdwCXY/f9MWz0sLtJ64IbsPdemI39APa+/5ZSnXEkZgcGRH0fxabP/B27v1TW5VhUTjqC/vEo62LMpo/B7jW1J0XqsvNivrMpOejldD0q6tq/gK5OTyLtgHRAfL93wgaL5oTAmSFwDqXpdYNJ9CTwe4ltJW6WuEziEqldpERndGhA2ghpYDwXVsfMBD6ZuW5obkcGx3Eqk9rXK7BoxXUWpY47eozC3v3BWIRZar+Pw/yCXWv9waKO7J/icVo55SoRQliGhaeOpjQCdCe22NZmmAMOcGs87hCPI4EXQgjLQwivUnnF64ex0YBNKD/C7vQyIYRXMGdpNKWQ5Sbg6RDC69j6AkUaNc/EfE9hL8KzmDPRURm4LR63i3qFmNa2dVkVXZ+qQde0DG+bk98IbJ6Rld734iqy8rRg78BxwGfZAFdyjyPd5wOnh8AxIXA8ZuSeBc6SmCZxFOZ4PoPNqf4nZpNS+3QOJYczfd7vpuR8p2npaPsLmKNyJqXndx82p/RFbBQ6XXBrnsQHJA6NHQO13tgwpMOQ3hHPN8UctiOAvcqObFjjaQzmxB+FjY7vADxKCEdj4ZF9sGiRhVhnzzWYg747Vq7uAMSjvD3e2xdJtBcW5vwgNoL+JczRAptvPwxzanYFzpUYLnFY/MyV2s3pd8qwTlSL9Zyfga2nsho4BGkkFlZ+CHAikq3+LW2CNKutgV0LiQ4m0W9I9AkSnRynJtwL7C/RIDEyltebgA+RaBFmj97AOrvOwCJQOHr2D2/Bnv98iTOA4zGHfDH2rj0Vz1uA72EjAgu4lRFYh+c34/oG6dSLB2gNtwPfIZ2f3r08gNnJZmAj7B0ZR8l+P4u9G+m7no26uRVzgKcBhBBexN6TMZTWKsnXW5Ow/9eTMe05itVl+bpgXEZWR7oOKKPrWDq3VlDvI52CdCXS+zNpg5CGV8lVH0hTgF9iHVGnZP+S+f4Y1vZYBZyFPduzgXtD4IMhcGQIPLiempyNDVTdGKem7I61uz8NHI7UhDQacxpuRjp0PX/PcTZ4QgjPkw54VLbv6Q4eT+TqglsxOzCzQr6yqMje6dKGEz7rOI7jOI7jOI7jOD1BCLVFuhZy0B3HcRzHcRzHcRzH6R58rrbjOI7jOI7jOI7j1AHuoDuO4ziO4ziO4zhOHeAOuuM4juM4juM4juPUAe6gO47jOI7jOI7jOE4d4A664ziO4ziO4ziO49QB7qA7juM4juM4juM4Th3gDrrjOI7jOI7jOI7j1AHuoDuO4ziO4ziO4zhOHeAOuuM4juM4juM4juPUAe6gO47jOI7jOI7jOE4d8P9S+DK63E0OlQAAAABJRU5ErkJggg==\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Test sequence 1:\n", " - Prediction (original) = 0.18\n", " - Predictions (scrambled) = [0.02, 0.06, 0.1, 0.17, 0.11, 0.05, 0.03, 0.06, 0.03, 0.05, 0.05, 0.11, 0.13, 0.06, 0.05, 0.03, 0.02, 0.02, 0.08, 0.11, 0.11, 0.05, 0.1, 0.07, 0.11, 0.03, 0.14, 0.37, 0.07, 0.02, 0.25, 0.3]\n" ] }, { "data": { "image/png": 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\n", 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Test sequence 2:\n", " - Prediction (original) = 0.78\n", " - Predictions (scrambled) = [0.42, 0.69, 0.51, 0.73, 0.44, 0.27, 0.6, 0.96, 0.66, 0.46, 0.83, 0.88, 0.36, 0.63, 0.23, 0.28, 0.38, 0.58, 0.51, 0.77, 0.66, 0.65, 0.96, 0.47, 0.5, 0.74, 0.53, 0.28, 0.44, 0.28, 0.8, 0.4]\n" ] }, { "data": { "image/png": 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\n", 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\n", 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ZAnzqqOgtVuFTv5fGZ/42hrdRswrY3cz2N7P98ONfBhE3b7sLOCaWsdNjPoBjaZW1ZOub6tgaQlgDrAaWRf3vy/Qvi7+bE6roEmOeXfHOxyvi/fw26eYChwLvAubGgPztwPX40p992uQbfZo2nqadT9NW0rRbadolQ2caHszYymxgqcki/MSEnwML8E29ho22x+NtSpidgdnyTHIEPtPgReBA4DzgWvrDYvrDIuDiUbCyKquAvc1sXzN7PW5/0cduiR97c1zW3ngQ3xtkWZz6fnLUNRU4yjxAfHOJrpEO0JOtx5bYekyJrUdmto40j9LdspF1VGl/esf2IcDt+CauZTSAB2jaFJp2M037VodgHzMmmLFp/k5HEjPD7OOYnTXapgjRg6zCY9LDzWw3fHlOGUX/PR54Gq9XxgGnVf3AugH6SjxAvgX4Yo18KUj5KvBTvBJZia+tugEf2Uj6D8d7YufiO2oHfD7/NjFNWcWXdkD9b+BH1P9eYuRJZeBreBnow5/l2fgUvi9Rr1FzW8z3xnifysC1wA9pXwZWAkcCPwOW42vfngUupBUsJVu/3sbWSzrYuhI4CfhFtO0h4BngX/AAIe2n8Pmo67wa31uMHRbjjdQrcB+3/jR3b4zPA/bDg/Rt8ZGno/F9On7EcGyuNHL047+FQ/F19ueO9AeascSMO4HPAp8zYz4eoC8ArsNHI7VRXI4fZ/px4ELM9sZsC/x5PYGfsHEEPqX7pzTtQJp2C/DRmLcPsxk9dgRgqguuA76PB7QN4C9xn/s9WnXGctzHp+navwHOAX6J//aSrsuAm/FguQF8JOr6Cu7Tp+P/syl4/VGnLrso5vskrQC9zNZToq2Tatg60twKnELTDgC2r5FvNdX21Hg7Xm9+FVjWJs1TeFtxHV6fH1CWyIwTzLgdb2t8I25Ut/litgWDj3g9FC9j52C2b0xjmE3pMMNLiM2F5F+vwDe4XK+jP57osR3evpuCL01M/vt0PC44tOoH1q1U03rHeWXGtSOE8Czwv3hwv3MU34ZvtrUHHoADrIivB8bX1wFPhBCeCyE8Q/sdr3+NTz/YifIR9vaYjY+7KQ/71EfRIoTwR3wUaxqtdRwN4JEQwgv4/gJ1GjW/i/kexn8Iq/F1cEOVgRvj6+ujXSHKpuBTYTvZ+nAFW1MZPqCgfyqtDXTy7/1oB11irGC2M2afwuzkKDkI71XdAfgj5evQp+PO/gx85sWzuG88LMoWkgJ0sw9gdgdm11QNlswwMw4341QzjjfjsO6/YCmzgIfpD08B/wU8Msz6yzgb+HEInBoC7wuBVXiA/gBeT6xhBKa5b+J8DPgWvsv9R4El+Oy4Jj56eQTe0bgfvsb3LmAPfKreLXgQ+dHhNsqMD5vxWTNOM+O92R8mDhEw3I23FXbBg8Zx+E7ryX+vxn1u8tX5b28FHgDPAwgh/AHvpJhOa6+SYr01G+8EeCjKfk+9uqxYF8zIdA1l6+QSW3egu72CBmO2JWZHYdYpkF6Bdxr+knodXz8A9jfjg2YcY8bSNumW4d//XfhyixklaW7HO913A77d4TM/B1wYfcN7QmBdDXvHFmbb4b+Tn2GWZiacBVyND3J8JMpOwTtIfo6ZNmIWmy0hhMfwozVn0N6/pxM8fluoC1bgdcT+dT7T6pydbqZ1PEIIIYQQQgghRB1CqLYUrlaALoQQQgghhBBCiJGhl9aNCSGEEEIIIYQQmy0K0IUQQgghhBBCiB5AAboQQgghhBBCCNEDKEAXQgghhBBCCCF6AAXoQgghhBBCCCFED6AAXQghhBBCCCGE6AEUoAshhBBCCCGEED2AAnQhhBBCCCGEEKIHUIAuhBBCCCGEEEL0AArQhRBCCCGEEEKIHuD/AcyARfxmmqwUAAAAAElFTkSuQmCC\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Test sequence 3:\n", " - Prediction (original) = 0.15\n", " - Predictions (scrambled) = [0.19, 0.17, 0.31, 0.24, 0.08, 0.15, 0.08, 0.2, 0.05, 0.11, 0.67, 0.12, 0.12, 0.23, 0.27, 0.08, 0.04, 0.07, 0.06, 0.29, 0.13, 0.22, 0.02, 0.14, 0.18, 0.09, 0.06, 0.05, 0.19, 0.16, 0.27, 0.05]\n" ] }, { "data": { "image/png": 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\n", 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\n", 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Test sequence 4:\n", " - Prediction (original) = 0.27\n", " - Predictions (scrambled) = [0.21, 0.1, 0.48, 0.81, 0.12, 0.75, 0.14, 0.27, 0.25, 0.08, 0.1, 0.03, 0.04, 0.42, 0.56, 0.15, 0.36, 0.67, 0.38, 0.7, 0.18, 0.75, 0.13, 0.33, 0.38, 0.24, 0.21, 0.06, 0.55, 0.38, 0.26, 0.49]\n" ] }, { "data": { "image/png": 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\n", 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\n", 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Test sequence 5:\n", " - Prediction (original) = 0.67\n", " - Predictions (scrambled) = [0.84, 0.88, 0.19, 0.64, 0.54, 0.59, 0.93, 0.74, 0.88, 0.72, 0.58, 0.3, 0.68, 0.71, 0.85, 0.18, 0.52, 0.47, 0.6, 0.75, 0.74, 0.77, 0.86, 0.86, 0.93, 0.87, 0.69, 0.77, 0.49, 0.63, 0.92, 0.17]\n" ] }, { "data": { "image/png": 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\n", 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\n", 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Test sequence 6:\n", " - Prediction (original) = 0.93\n", " - Predictions (scrambled) = [0.82, 0.77, 0.98, 0.85, 0.91, 0.7, 0.93, 0.94, 0.79, 0.84, 0.97, 0.83, 0.94, 0.97, 0.86, 0.9, 0.82, 0.98, 0.78, 0.78, 0.93, 0.84, 0.97, 0.88, 0.98, 0.92, 0.84, 0.88, 0.96, 0.78, 0.77, 0.92]\n" ] }, { "data": { "image/png": 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\n", 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\n", 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Test sequence 7:\n", " - Prediction (original) = 0.84\n", " - Predictions (scrambled) = [0.11, 0.42, 0.71, 0.17, 0.53, 0.22, 0.68, 0.72, 0.18, 0.34, 0.39, 0.59, 0.39, 0.79, 0.21, 0.58, 0.06, 0.42, 0.22, 0.29, 0.24, 0.24, 0.22, 0.41, 0.8, 0.66, 0.33, 0.44, 0.8, 0.61, 0.39, 0.52]\n" ] }, { "data": { "image/png": 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\n", 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\n", 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Test sequence 8:\n", " - Prediction (original) = 0.6\n", " - Predictions (scrambled) = [0.31, 0.84, 0.29, 0.38, 0.73, 0.79, 0.5, 0.36, 0.21, 0.85, 0.54, 0.53, 0.87, 0.33, 0.1, 0.25, 0.63, 0.63, 0.74, 0.75, 0.99, 0.68, 0.81, 0.78, 0.45, 0.54, 0.34, 0.87, 0.49, 0.8, 0.34, 0.33]\n" ] }, { "data": { "image/png": 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\n", 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\n", 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Test sequence 9:\n", " - Prediction (original) = 0.65\n", " - Predictions (scrambled) = [0.89, 0.63, 0.13, 0.76, 0.83, 0.77, 0.55, 0.54, 0.74, 0.77, 0.41, 0.94, 0.23, 0.22, 0.47, 0.94, 0.54, 0.57, 0.39, 0.79, 0.57, 0.21, 0.55, 0.74, 0.28, 0.58, 0.28, 0.43, 0.54, 0.71, 0.77, 0.33]\n" ] }, { "data": { "image/png": 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YTta2xum/Wcgb/k7g6/VVRK87kdfrOP3t+5G2WsY1D2M2QZzwZiV6rSYr//9jgu/t9AWyauIBL80ibzbmR7j2DWRUkX8N4pPace+Uawy7AUuQlRSre8l1npe2DtHFSl3OuxPwNOInc0vsA7wxA/SM16+BPwZp3ybrY3cDVpHZq0ubj2zLKJLv/MDPgNmB/MsRXbbAGAYgPusR0OWq1ZHXaxybI7b8V+BWL703et1CZT1I9jZ1OtKmfwXc6eUNfe6uSH/9RWTLjUt7FllhA/LGelNkqfz/RGSNbZNWBbGBfZhWxvUyj+so4M8B1xDOD1yE9NEubbGmrQHehASXvl59XqENfxt43Etbhbw5Xob0y9OBp5C3hDaQ0a4PiXF9yeNaxsu3gSpcXdrzyHYXEF2MRrbO3dYLrssQe1qP1NFoZEuLWwU0HRl03K6/USb/daRtraJhBiErGp4kr9cYqvjJEUhdjfUGKZ341+8Dz3lpKxGftYw4XNu6F3l2yHzWjcCcNvyb0C0I07TMjQW/V0mWwtnA90vKOa4/7ZDrYOX6sMd1R8Rn3Yr4RccB5fC8l5bZQBw7IvZ0J2L/RdgNsclvAos0bSSZDZiAa9lKiBjXKtgK8Vn3IkvHIa/XR0q47obExZcB65Xr1AjXKjGbm5zqRzaBHZbbBpnsuJNyvcbK7or47a+RjQ3botMBuquo5hIIt+/W/9v/1L+naZaTkDdoT2naYmRZwxFKejrwQ2vtF5AZ8PX6gM7xjC2R/zoyW3kY8Kr3f1n+mR5X+XsCMmA4jbr9JGL00/R3D0Nmoe6yM61xZd3fYZrOBk4DLrFW9z8Kat5zOB2+rLIPBB4NZbXh+olOuWq+31vLJ9Bl6CXy3R76B7TcOmT26mDgtRhX5HyBEe45dUZ4S+A8a/kYYszOBmaovKdj+onWW8TGCvT6OjKr9kEKbEDzXWetPQ9ZcrY94sxOtdaeDXzD43oiYq/PVOGqbzCmAhdZa89FbMDJ/5TKuz8qK9SrzLTLMtG6PVv1NkFlfYK6PQ0ZrLo6Okz/3U3Wto5WXazXtN9ay2lkS7Zc2/Jne2N6XYq00QPIBg0t/Jt1JO1hGBLYnGctH0UGITGusd/MpWnbmgpcrG3L7RUH2c94AnBjlXaqy6mnAhd7em3agOr1Uk/+CapD1+mU11s+jz+DWvqMhbJkif+woKwrNyYIpMJ6exRpD+9G7GEa8EPq9kyyNzauXJ9OuKqs2YhNnxA8f0wXYdDny5qOdMTHIquLlkTqbQQysPscdXsWyB69ilynKtcZZDPsU4HrrOVMZDJte6RzPoW6/QRwWYEvbZFf0X8X6XAx0rbehwwapgG/p25P0bS1yvUitdeTJpw+dziyteRcazmZbAIpJv9FxJ8fjrT1acBt1vJJdGl8hKvTxWmID/lXpbaV6fVa1esFoU68/giti0ORfb291auT9WGV9wtNW4PY02HIxF5Ovm7XmwpcaK39MmLHo5AY41xr7afJ91snIG9znwtlkaGlf2hyLY6N2sryuH69gOunyPwryDaNo4DnS+KB66jbz6h+RujvnaNpn/dkHa16dROqMRv7rWevryOT5d+gbs9BlrZPRt5EfZy6PZVsKXZpfevf04FrS7ieW8LrJbK29aSm3eFxXadcL1SuH+0+YdlIlXGutZyEDMidLo5D7HVBiV4d18OXLh9unC6s5dPIBKGv1+OQfbbOXo9C4qyVBW1rGrIn90xkQiHU6xVVfVZBmvveD7GvquWmIhM5JwEzTnv3ZX08vZ6NbJcp8wNNvWraAvQcJ/KTOYXxhqeLU5H4sqcT/+3L0qXqY5A+5iSygWPMxhYg445OuE5C+tsmV9XhGv1+EDK5MRWZyDmJbNXFVOD7agMXluh1DdJeDgHuL7HXa7Q/dW/cHfcByGB9ssf1qBK9TgP+qVxPLHjuMhs4Rrku1LT5gV6nA1cr1yNeWFrrgywXv9BaPoVs5XJcT1GublK6SszmViXG2kNNB/B+X3AkMD8cA3jjAN9/91NuX7PWfg7xA5XQ6QB9EnC3FdwDrQcPlJRbCjxsrV2DzEBMAv5qrV1trX0SeAIJDO4EsNb+A3GqY5EgYynFM9OTVPZia+1SskFQO0zRT/f2wu2hmEPdzqdu1yOzOFUwFqnkP+t3P2iaSxZMTwHuo26XU7erEAe9IVwfrsB1coRXLA/An61lPTKTNxmYYy0vWstLZDN7Idzg7nHkeSc5Wd5vTgIWW2vnqA38Sf+vhgwkymYzYxir5cbq0pNJwGzPBv4WFtBAZyLyNgTE8TafWz9/HnBdTTYD3/zNAk7jkCWovnyni79Yay3wW/3unrtI1niV5VYD/IJsSXHMBhaoDdyoz/RXa1llLY8ibStmA2MRh/gK+bdLc9EZVJV/L3W7IrDXLF8cMRuYAswOuPqyxAZkpcwoL20csoomlLUUCQycLqog1OvPyfR6pydrMrDEWmZby0ov/1hkkqLsLZnT66sU6zWfVgw3ifJERFYYSPmypgB3UrfrqNvFiM1MbD5H3d6DTDyNRYKMZWRt0D1jzeOapQkmA3epr/gD5A+6DHTxWMA11KHP9SWyNuLDtVNXDz9uee5ivU5G/JrV8q8jk13OBzl7grwNFCFvr9UR6tW1rZXU7UrkoJwpZHX0GGJHXWTPfeNTL27tzj+ItWdfr5OB+6xltbU8jEyMV+0LLHC3tayj/K1hE3oOQajXIvkvWcscbVvOn/VGr1OAl6jbWdStJdtj/JC19mVr7UtkqzJ8n/smZJnknfp/N5GdK+H8929V1gJr7ePW2lVkusv1WyabSNuQvqxWkFaFq+trfK5/IoQcULYdmY3dRbYE2dmY61depG57PL06Xr4f8O11LjIoHuLJcmc/WI9PKCvu/4Trtm24FvmBKcBfqNtV1O0KWtvWXCSu9Ln+ZNXaQWE8cAtir4us5VFrWUFmr2Vc/7zlac+45blhv7WIup3t6XUyMMtallrLAiKriPTA0m0jsmJ6jSGvazlMcBPyfnIsMhG9kli/laHMv97xjaPO2hyx17COQkwGFlrLXGtZjti381lrrGUW8GzAtahtTUYGRH+p4LNCG47JwnumMv96r8d1nrcqsaxfj3GdDDxoLS+rDfyDvF5vR14ibEN7/zoFeJC6fYm6XUfszbdsj92GzF7/hAyKxyKrzFYj+gm53l7yTHcp19soX80RlptvLY+rDfyJvF4feuHK2kvIeRWO650Tz5g7EBlQh+10HXBPYANV46y1ZDGRX24wYn+TgOestU/pwZ13xQQh9T+ErK/ZCnn56fvqSuh0gD4cb2m7Djgql3P59TMnC3mgvshD+fJrSJCykOIGtSG85lO3smxQBg3DfQ6aVgUj9HOucMjNpj1IFqD2Vv5w4AXqdlkvuI6I8IrlmW+tTLpovma5NmVryGBpnv49AmkoT3rliuqohpwO3mlQ48r5em1nA12IjT3m5RkGzLPWLvfSesvV7fXx5Q9HGvWKiKwHK8iS+q03ZT1P3b6maUU2EKu3mA3E2pbj1R+ZQW2VLzOCbvljEf8iG4jZa6gL5yCdrmNtazjwiOql03YErXp9LtBrke23qzeXp0ivA7znqSprMfLmzpf1GLLELZTvBn+inwxdiL/P0uQ5e8s1Z09tfMNcsg6/iGs7PzYc6UCfCvI4WQPJ70ct5Ip0tn1ptadnNZhvZ09V6q2snOOar6NYe84GJE17Xbe+3whEF097/GO8qvqBECOAeTp4LssXwp3nUEV+b9tWiCId5vy3ySb9nE/J6dXz1WvQbRAd9gXus6dD/i2y/g1cfbgzDHzfMAxpn08Dvg5DvTqufh21s1cn6xmdhCqTFWKocg3lr8atamuVNUSfMeZT2nLVtrXGye8gDnJcmzpbtmqo80et/VaeVyfyQ1lP68R5pz7L9bGzyNvwAuJ9QZduh4rJyvmUgf3XhH1s27jUe6ZYWg0Z8JW1rRHAM9bKRHGh78lWe7aLXVajW7c69K9jK3J92lrZnlHy3KGvjtlADFX6U7c/OxYP+DYQ41r0TFXigcJynvxcWm34gnw7BZav7o61rSKuVeOsRcgkhW/7DyNxbI3q48waMqnxsFcO8uOCSuh0gN6NzDp2im5a9z6Hae5ggVC+M5gFFCs4Jr8Kusj2M5SlVZVFpKwLUNfo3929lB8r11aWLg+u8kwbogsX5Ls66gJedg3F45qrI33zPYbeD9AfJa/XdrYZs7EqtulzLWvoTn5o1zHbbDfYj9lT1TrKpZXYQNHg7FFkAFBkr5shHUU7/kutzV3z0ypLVjWENlBD3j4/Q2ZPBGV72456r9c41xiK9PoI8vbWT+utrFjaQ2QBaqgfZ5tVbWBOhKtv+731DTGuVWR1A0uo2/BaE8fVdaK+/CKuvbcnsYHN6L3P8jv8/G/KbQKDC7i+GKQtsbblihf33C6YDv1ATH4Mb3Qf2F5+NunXqV6L+sXQ54aTfkW+eom1dl2QFvYF/ZB9xKHPWoIE9b2duAkHTyHXxZ1yjSDmB7qBxfq2zU+L1WPGVc7FGUg1ey2S9RCwib4lDVHUTkOuTtbDZEtUw7YV4xqLB7qAxfoGrh1/HzG9xnQR02vV+Cwmv4rP6k/cXhcjb8zb9SuzoTlQdmll/jXWtmKoGs/EuFaRFUPYtopkvaSrw0IeDwHDdOvZG8m1SlpV/1qlL6saD1TV64b0Gb15bpf2UpBW5md6E2fNR9qv8ylVxpk1LeNsoBtpP9EzX8rQ6T3oXRQf/NKuXHiPapjmDGaFMeY4aN7V6hTXn3KDb3sHcgTdTQ4NczlZYPsCDTMaOexjLnX71UIJeQ7QenBDDTlszDf4FTTM9sgel/uo2+/QHpm+hGu3pj3XhutA5G1Ru3tsuyN5RBftERr3YxFZMRvYFLHB3r6N+jN5vbY7nMLVkW/Dzec2xlyl35f1kmsX0hBXB2k5WSY7KfMh5PTdTay14UEq3UiwsUbvE90ZcQ7OBq5ABjjdwLM0zBhk//yjYMO6HIwMqMNncvU2mLxT+hPi6Hx7nYxcbXMvsn1gFbKl4agCXcTsyclyXB9B9uP0pTV4cPY0LaeLVln9kYNJFunev3boRgZIa0v0Ohjs6xH+7lTPB5Frzorg+HcFz/RHnF6NeZjMBiRA1VUcBbLCjuPJSJofSDn9vA3ZF/YPzbeChjkWOeX/Uk/+ikDWHyJcH2xybbWxMl3EuPZ4XLuV117I/rWbqdtwWZ7v/85Hlv2equV/73F9hEyvQzFmiHIN2zxBmi//SmAgdRu7AnMzZGL7IcptIIYacuBm2LamIFcOusNSV9Aw70f2Zc4G1uodzqcDO04eN7tnzgtTYrqvIW/E3N9hHblThqv0Bb3p52N6LcoXcvAn/c5oKVEMp8OByNkUC4n3NTVkS95TyH7LLmC1tXadMeazyAGB/4yUi8kao1wf9Lj67XQSFWGySb8HgWG6VL6G9EGOa/cGcA3h+sAVNMzxyBWtT5HZ/leRsx5cHqfXBXyIz3lch3M3o/S87RU0zAeQPaSzgdXU7Toa5gxk7+gST/53gH7U7Ym02mt4N3AzJmzD9eNa/lbEl/ttaypyVZLftg5C9nrPBlZRt+tpmDOBaRPHPtIzd8H2sTioY70etMtN9/3PAwevjgz2V+gBb98F5lf0pZkuYrxEr32p25MiZd0WxAfJruv07XWPIC3ch/sbnF6NeYJsIk1v7WnxrzJO8PQKfJ66fY48imLOojhlIQXX5xaUi8Gf/D+kIE+RLDfQc3+34/rWEvmhj6ySVtW/Ohsbj5wD0kPdfjOSB833EeQU9os8/n0ofsYYquarUi5M8/3AR4C3H7Dzr+67+Z8Hrgje1LfqMD+ZKjfhyBbbEEVx1r8Ix27t4cvaTcut7OTNuUOnb9AHQu6N2IaUC9Pc1QFrkXthj0Scb0xx/w5ehyMHU7i0buSQgvidvAWyIks7Qv6DVP4YlV98B2gerpzP1aU5ru+OlPP12pZ/hbQYwmesKquGDJbmINebxWbRN+Q3Q8R04Zc7mOwathjX15FB5VC9XSAmf23QEGOy3EmZfnASk7VGl2DvjdTvUPI2cDSt9vruyG8W2UCRUyqz170KysX4h78Xs1dfr25mOlrA/YzmAAAXWElEQVS3QdtysvqQHTBSBb5e99GywzyuR5DXqw+f63B3R3sEVfQ6Cpl0LLOBarKyQ0meR2bv/XrbRp/RHXCyFgkcjqHYv1bh2jvfEOfqZDmuO0fk+P7vQM3nrm8LufZrwzXWHnz5R5C/DjB8njXIqqgRumSyKora1liytoXKn6ZpW5FNTO0DHLPJ4GVuuX+Gcr06bEhfUAUbIt/Xq39dZzs4HfZF9HVQifyi/uLtSLwxLFKuSNZqZCJ6pN57XsUnxuAm/Xx7LeP6DuXq9wVlXEM4e12LDHaOQQZcYdsaomn9yPSa5/o4W2iZNchAPLTXfWntt44E6t51TvOQ7XFFfaDjukeE6/s1bQDFbaumefb0ZPlcnax9gWO6B73W2rY61+sewDGjNlk8NlLO8fL1+kbELkchB4zFUCObUB+tb9Sr+P1Ymj9BCVKHIX/fl75TnzN21VcnceIbNQbonaxsBeWzyJk9RX1gb7l2OkYqg9P/MET37yzI42S5tuVuruk0ri7iXwWdPveewDGjuqNtKybLTaY+5H2PoYrtv5HjoUrodIC+gkxZnZYLA5kwzc1MhPmqGHxMflVe4fNsyDP212WEPmrkl+hviPzecC3SayxfuzoqgntGV0dVZY1F3iYt8L5XhW8XY+lMFwODtCpcawHXmC2uAAaY7LTqIllun9ILFAcnUq7RPPgKpJOtYgOdtK1w+0gVe/XzjCJ+/WGRXmOy3BJo9z3KQZfql8mvgk70WuSL2tlrFb3WkDcVzyG3OpQN0NvJcneNl9WbWw5dVpehfNeeHdfnyYKT3voGn6vvL6q03XyeVVH+vl59rmGbJ5JWxS87G3Artqr5rGwAXeYn3Zs2P20Ngb0O7Ld6Fa26d1cklcnvpC/obR9FhbJFbcvVI1TvCzrpa1x/MRqxnjBPLK2dLJCgz0/rtB9bh7StZWR3EL9RXEPE6mg11f3f60jbeo1Hmnu4W+21lWso3036hXueO+e6osmtU/+3JpQ1sN/qlRH+vdJr98DXVleU1Yn8sD1X9VlOzyD22r5fyfss37+uRWxgOcX+tQqvTmKvdttce9MfjfGuFm0ny62gbBfnVuVaNY5r129VlR/LE5MVa0dV9Lph8Vh5WgvXrkHLi9pW7HncWR0r2bA4qxMb88esvdVNxwP01+jgkvWgXPjGMUxzJ8IPQe7wdHsJasjJy845VJVflZd7nu8FaUvp7B50tzw1e6uW3eE+iextj5P/FJ3cg57nOrMqV90DvIb2+qlSR0WoIQHim8iesYos13j2JttL3hYmO9VzKmL4vl7L4GysK0hzvK7aQK5O/uAgLSZrOfIGuchp+Pb0A/3NlRTb6xKyq3DC31yDBCgxHm5WvOadQDqZ7K2Ek/8k2amsNcR3TNfvsYC0yAZCrk6vbyN741HTshOB0UN5xS1bCvXahQS310Z+vwjLkRnVQYhe1yIONKbXIhvwucYQ6tXtB/b16mzgneSXl8dkjSRrWy5ta8S3+H5xZ7LliU4//9B/7q1WF+JfX/JkjYtwnRJwfS3g2olv6JRrDK2++k/N01I75er3NTH5MymGbwP+Hv122CTC1f3mE8j2h9eRibsupK09ob/VV8tcC7w+ZOCKFcRtE2T1ma9XP99Kld+bvqAKYnqtKt8F/nuSP0+gym92adkftJHfD1kebpD+uJ8eyPZ9/c2YXsu4/ofHtYb4zknAGBMP/GNw9bQ/mb2GXAcoV7edpxOuIfw+8CbEF6+i1faXk+nV3dftuO4HLOeF5gGSXcg2kyeRAXR/3Xp0jcc19K++vRbVt8/1FxGuIutmhiH1OYVsK6Szi8eQ08HXebJ+j8Rfq4ABuj/9GmD94IErV7Lhev0FsHR418srgX56u4Gfrwtp19d7aVXlF/ms71EMZ69vJfMNNS27HdkVmC7WHk0W0w1ArkzrT96/ig0U+9eBeqbG1fqbRc9Utb2FXKvIiqGG+NOpSAwzuqIsZ5+7kNlrFa6GVlR97ir9VgzOLhZRfF+3b68/R14SOP7jkQmJTvr5Dekzqj53k+uwwa+sQl7a9C0pB9kzvEs/y+KsTXGrCrPJqW0Rv95pzDMUuWljrJYb2EGf0ESnA/TlSOV1iuVk+5qK0tyAZLy19g/kA8hPku03rCq/Kq9x+vdPcml1+zKyp6kTWZDXj+M7E3FoLigfT93OQ/amdyLfyf5JLk24ll0rUaXelgObB28pq9Z3DVly/2Vgs0GsXAkMN6a5d6QpP1JuS+BmsqC1Cly+q5ClaZleyxGrI7/cz7y0GNet2nB18kO73sLkHbUL5m4mW1ZUJGscdXsT2QC9yF6XktlAThe6NDymnxqyh/IT5AdP30cGOL69PktmrzVkb82N3vcY/xHG5CZDnKylZNd1uAHcbeSDgPcCVwLmAG52s49hvY3TQ8N+Hvn9Ivh6/QXleo3pK+QaQw3Zn+x8lst3NZm91pBB220U24CTdSzwJWTGvwtx/hciS7F9+b9CJk38epuNLEl1S6zGU7d3kB1Y4rieEuG6j5c2VLnWqNresgnKC5EtGSHXaZ6scdRtD9lS3xDLgVF6PYzU0azmcrUqXGN9TZgW+tcYXKd9KzKI6tRnXYNM8vnP/QxytgPIYGYcdXsvsk9ytaY7e13bNXD5SmCUMbkJK1+vU4nUUYkfCLEh/Ty074uL2pbTa1+q69XpcC3ZJHWR/34L8CP97vzSeGvt/0Hax0pgU5PfulIka1vk7nHHtYbcrX2ppm1akX8NWYp6M9mbzRoymHJcXVA43lp7EzKRU5VriKwPrNvbkcn9VcBo3W/ubN/Z4RoyvdaQFTC3AWNYx1ic75RrG58lmwgcR93+3OMa+ldXvzcjA8B2fWAx17nNCeLrkH3qvv97GrgPmZhaqWl/CbiO1zMvXh8yYMUKYLRea+bzqB5bKNcRXUtXNdPy+Zxeb/LSehu7hHqNoYZcf3gr2d7iGrJF4HKym3BqyFkYHyXvq69Dtla4tBGIDWxGuX91eg0P9PPzhc9d5Bs+AFxG/rrOduViqCGTgDd432OyNjMGf2Wgy/cbZKK9qA/0ufbvgGsnY6Rq/lWuLC16CejX0W3kB+jnACdTPa7OfrNzVLEB3w/cCrw8vOvlVc20clk15AXHbWQTTzHUkLvmP0/m5wYi56AdQtzOi+Da1kXo5Kqmd6yfTgfoi9ADUIwx/XVGtwoWAtvp6afuztDmYSo6eFmPKGCyV64v+Rmuopnp3MEspnhvaIhFwEg9ZM1Pm1SQv50saD5T7uAth9oGyu8tV6/eKNLNIsQoR3v5cvJLyvrP2edd3OGWk030yi0EJrj68w7DKZJThrZ6LbCBFYiNTfLyLARGGZPTa2+5BjbQlO/ptXeyFEuATWmYUUG+0Ab8+jZhXRrDYO+ucQe3tDLkFZPfCX/fBqrKyqUdzY+cg/NteBEwUWfpO0GRXkfTMCODfBPdDG1Je85D9qP6cor0WtX2/fR+ZPd1t5MV6no1Etxmaa/QbwO4+vY0ILK1J+TeCdcYFiFvEyc0U5a0rNyoxBXxAytptafNaJgRlOPf5rMUYZo7PLKZtsXIeUvwdFGlryn0A3EsQgLUEW3yhViGZ2Nt5E80RuKPym2rWNb2NHJv1WLxQCjPxS6+rheT02vTf09025ZK/PcbaRdFXP3YKLCBQq4hXkUGpv5zv4zEgtt5aS/SqtcqNvyqfob+tUbDDPPSquirGtdXWvaV9rptbT7yuVjbWgRsH9hriFdCrjtsPvsVX74vK9BrlTgrpwtP1jgaZmgkv48qNrYNMmFclqeKfx20dPlwd2p9FZ8e6jX0WW6FZNnzOFk1Y2TbRcVYtUxW08Y68K+dcB1njFx1VhJr5/RK3AZiqNKfvoxMSmb55jMIci/V3DOGXEt/0xgGBS/6yuBswHjyc3qdMXPmypDr5HFz3IRC2B7GGyN23GG/4qcPxo8zsv9fKFyNci09g8iH04U/LqiETgfoPcB+xpihyKECVdfV9yCzEfsbY8YhB5H0AG8xxmyOLD/YStMOVQW4+3F9FM1M9wBbGWN2NsZMJzsQpAovgA+SKbEH2JaG2clLawtrWYrsKT5Yje0k4sbRA+xOw2zeiXyP66G94NoDHGgM/ZRXmfyD1cDrmraNMUw3hmlkp31myK4dauJSPrUcmTU9WJd3Ha+yBgHvMcaMBw7gjQ1qlKvZ0RizY4yrHt42GzhEbexkim2gY67W2iU0bcA4G/D0aoYiem3/3DL7uRD4oO4/NciS1xjXCTTMjkHa7sZQQ5bRb6Fp71cbOJHWZen90cF0wKsH2ENPBDVeejl/OUhtHXCQ2sAJHtfpbWTl0vbntiHIPiDXtk5UWV36fNXbUd2+iDjyKnodAuxnDJsjb/SrPHeo1wHEnX2Vwb67HsdH1QF6D/BuGsbdewxyDdGhzed+jHAw2gnXHuBdukrmeCA2WVs1wOsB3hNwDTEHmcTN/N+KaGBexrVLufZDdOH76ph/jeGN9llvo2Fq5O3uIF12a5BBxEt49nrSvt97CtGF71+L5O9pDGMR+x1H5gf6Iu0oBr8vGIYc7NUWei1RqNci+d3AvsawBbK8u7d67UEGFvuR1+FEY8wOxphdkNU+obzBqF69eOMp5E3rwbr03fVb3cA7jTFvKuH67xygx7g+GXB1/jXkmoesOJqD7wfkbbIlb/tzkJUo76TcV/cAB3v2+ioyIPf9qzud/dA2soq4frCU68qoH+gB9qJhxlLctl5Rrk1dnLzvd51eD9LJvOPIbGxvY3gTsYODhesjvqz/nHznUmTS52AdhLp+axiyksrnNdkYJhnDLsgy6hz0SsU5yEG2sOE+K0wL+5UhyGqxduWafY0xDAE+st/XfrsQWe3g21gMPYiN/acxbInotQd4mzFshryFLJo0jskCqbfhyIqtGKrIelg/D1YbOLagXA+wlzGMVq5jCvKVcR2hXHuAKcawvTHsimz96AHeowPNGYjPfwQ5WBDK/esONMwkinQvK44exa+jubnJeoCu3bn3qQjXot90XE8s/N14ueGIDWyFjAV9vX7g6jtnjFSuTT+w/463LkYmGcK2FXKtEme5lX4+YnGWa7t7G2O2Jn4od+w3+iHt4WCdPC2qtxZ0OkCfhQyQ7wO+3UG52fp5LfBXpBPpQQLCO8mWFvcgS5TuR2aLRyDOchMyBZYZ/K+R/UVVn2se0qFcRLZEyMn6DfDFinIcZiGN+e+Is6khV1J1IYZXYz2zkMmKO5FlpVXxrHK92OPqloO24zoLMbi/AecV5JmHdFgXAQ8gwZyTfzPFenWnek5EnvPFrXl6U6RBnYXsKd2RzAauQ+zHXUF1FhKAXEVnQc39Wu5d+r0KVzTfPvqMJyB6XUbeBtpx/W4J1x7EBv6h3Hwb+wdZJ3e5yjqvRJazp3uVwwJkP8vFwI+93wOxgfO8coOQ69Ju9NJ2QGzgC/qb65C25RzzBKR9dpHZry/rY5qvhpx03gXcEuNvLauRE5nPRq4EmkZWR7coByfrsyprJmJ3YxA/0EV2rd0sJGB+ANGrk/VDZDlZJ5iFBF73IYHIfGRlxSVAQ/M4vV5Ppn9nA45rrN58vboVChPI7MgF+M4GupDl6zFZLvDcTvMtRtrZPP0+HbGhLZFl/l1IR+X0NVa5H+o9937KZQLPMbKAq3teNylRQ3TcBfxXIP8+fY4Yakj7Crn+LODaE+GaR92uRAL9c4DfArCaMRW5Ovk+1x7Ejv6G2MJTiA1cSrb8seiZPqPyr6Yzn3WPlnsfmQ4HI9dFnqz5ZiFt5a9kN3zMQnzVfcCgKePnrFZdfA5pW26JsNPrSRH5fp8xXZ/7cwVcn0Z08S2kL+vk0DOZGBL5xxbkcW33R4hOhijfM5X/NVTXq5N1g/J1HECW9N6BBIs1ZEvIYGR7jbOLE5C+ZCCyysTp9V9In+lk/QixNfdW5nT9+2rEZ41GXgwM1jKd2MUlWu7LZDZcxnVAhOvkAq4xzEL8+33Im9PVyID/XLJtUm6QcoPy87l2AV8hs7HpiL2+zZM/Q+UPQA4UW4m0yx96sn6qstyS6hh62nJdy1jgbpV1oMdrCGL7LiCehcQiIdcTVX7/nbZ8cBUyYXsu0ramkLexeyjX6/4qa+t+fdf58h9AtrY4WQ2kH8dLuw2p76LBzSzgvcbwd6T/fQJZsXI52X72GGrApxH9XEu2x3hPTXsY8furkdjc9TsTyfT6fjLbvFjTvkpmm+MRvX7rgad2dVxPUl0UXefs6+IvSJwxS2XfBdwwmYfdMnHHdQ5xW3mCzMb+TvDSKNDFYSrrdzFZ1vIaYmNfQGzALWn/sZb7OJmNdamObpjCbMd1jwpcXb39Tbm6tns7mQ34enVtsAc4QG2g6KaRWVr+DiT+KsIspC+6F9iSFxipvNyea27mgBUB19iefSdrc+V6cUGeonIguvVtoBuxAbfNp8fn6rWtk5G29Q5Er6uB/0ZswC1p/yZSHxcQrw+XtoXmew1pD0/o992A4ftkE43OXlsO4jNyq8sIZIvSYGQc5NrIyYg9Vb25q+MB+t366Q47qgS94/lfiPG6Nfz3I8s1tiVbWnOXfu6qnyOAF621r6mMohOv56LLG6i+9wu9auluxJFP1dRHkeVd4+h8X7vj/2b9rAEvYO0KJFAdzK08gizX2Jb4/pQqXHeIcC3b3+B47URBnev+xLuRhuHeos1V+VtQ3DBdfTyjz+lOLrwLsZGpIt++gruLMNNrDXjeWrsKefPcSVDzgpabRzbIelFll+nV2fDOysvX65Q2XJ+rwNXXtS+/G6nzUNbzFWS5+zSdrC4yG5iDDNzGk9nAXxEbm0Br23I2UANexNrXsHYpMjmzFXl77eL3zEb2EYq9ynEvY8nqu50u3CEzRVxlECeynkcOQ+sDPK1p7gRNx1+u4JJ97LORyQWn16pwst6iny161RUxPYjd+zYwz+Na5OwXqV6XIJMzW5HXa7c+v5P1XIksS6afhSprvn5/RvNtBTyvafPI62sHsv22+ed+kRHAQo/rsg64+vKL+oIasCDC9YUKXGO4C3lTLzbwOmMCrpu04TrV4+rS5G1V3a5HOl13QF4RQnvtyGfluN7HQ8gEyXZkk2R+H9IvSHP26tL8tlWj1QbuQ9ruBLKli347KuoLnC6Gkl/2XAV5vcblL0EGBZuRb1ud61VWGj2C+PxtNPVh5M3oFohem1ckqc+dT94udvUkOr1OFq52MeK3RpPtdwz7gq2QgHiepvknAbdDrC94I7nGUGRPWdsSP/0o0gc6vfr+L2xbZfa6HhnYdpO1rZi99o5rqx8YzoP8U393AjRXCvlc+wZpoXx36BzW4mxsDNXirFCWQeMB6nYRElf5ep2NvA3ckvLYJfRZ62jVawx+vb2gvwNZH74AseGFWLsciaNWku9XnkX0OI5y/+pWUsV0kYO1vIjYmK/Xe5F6mwh01Wm4uDOMB0JZThfDKIoHZIvtZt5zu7YVQ84GiNtrjuuHuMFxfaYXXHuQGGxLWvuCabTqtdC/IgPXVxD/V+aH8vHlYkYi/fVyJNZYPYolYyJcy2T5XNvCWhYiBzmOIfNZ9yB63Z7W2MW/W/4uxLdrrM3rHteYzyqL2daS+RAXZ7nvzwD8Xn7LcS3Sq5vMfiboC5wfmF5QLgrTyd3pxpiOL1pPSEhISEhISEhISEhISPj/GdbaSlsAOhqgJyQkJCQkJCQkJCQkJCQk/HvQ6RL3hISEhISEhISEhISEhISEfwPSAD0hISEhISEhISEhISEhYSNAGqAnJCQkJCQkJCQkJCQkJGwESAP0hISEhISEhISEhISEhISNAGmAnpCQkJCQkJCQkJCQkJCwESAN0BMSEhISEhISEhISEhISNgKkAXpCQkJCQkJCQkJCQkJCwkaANEBPSEhISEhISEhISEhISNgIkAboCQkJCQkJCQkJCQkJCQkbAdIAPSEhISEhISEhISEhISFhI8D/BZE3AG+Fh1lgAAAAAElFTkSuQmCC\n", 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rHf9NpD/aU/padE5YUOb1jGylc2yinOADdeh2juX6ARFGoSNpnqDyei2jgOec04abLhLtLMHW17o8SqcMtQHnOMelwM1e3gw8TLw4YW3kxdwwqiA8b5Vi9Urn3OaMLFsWDECnsWQT9JXos1RLWRaXK5VsXVGtrW8DacxKZADaM9Sdv9YDL4TFS6smkWkkchqJTCf8xjQxj+16gsrPVp6tefWBOmCFc8XniW5VRASRBxC5KJLtiMifEPlYdOSUzDt+y8dryxp0RRJEvh99HoXISkS+9nb9BMN4l1A0vpbQmPISaSxyaPlQFdUm6HV0s/BLF+dlV/7NykKwbBORT/l95vagWA96nn6jb5F3j8aiPeC19CSH5DL4RRHfDJWH+Lj6YJfo/uk/7YGtddCxBWEsK9Pl56g04ivT4vdGr5HhdJ4nOoKoZ84PKa2jc3AJPehx49dE4BF0eLb1otdGE5qcxw0fwV9fI+3lDj7QgEillT2rSdAXof5XzbM0Ce2dX0aafJfQwuX1SNck4H4sQe8JJXRkRbiuGhsSmUki10DHXuVtJHKkl+0HbKTFbSSRs0nkmhlNT2xPfnlXAhZGf+fFsc+i02JuxT/fOb3SDZQng0UJZXh3cXgi8JhzepxzrERXXq9HE/SeDnHP+90ldEreEtJrs945t1lEviAiP0N9u7t6CmhDrVBeFhSpp3TCT7sKDb8j/FD5ErpgWbC1vge29h7lto7i/o49wttI5CPeX+cD62lxm0nk37yshI6+gUSOJZF/KPydujf54+hiiK3Eu44k8gUS+S6JDCN9tt6g/Nna1dvw6cjWo7xsH2AdLW4Lifw7iVyzc+NTE3l31SUnoYvaxfNa56FxI94hYiraQB/3oJ/gXxrTRQajuyEdGyXts9EGuz3fBtsN491E0fiaLQvqgPZaRjRVm6APpovtzqo8LysLW19tROfLHo9uoVGk4KvVLuOdI+8eldBE8El0e7NqtoXJ+kURH4h9LM+uo0m3YcuzdROa+A73uwvk6d+YeRDzdI1GhzrHleliJDKaRM4lkYtJZD5amV5NImN9ZeWf0QR9VXRWqDivzflN2R70SWgv0MtYMlYrccNHnKDH/joGnX/bnQ90n6Cni5K8hCZWPU3Qm7zuVyP9E9EEfZxfuM6onmyj4hA0NjSiC5zu54/bgI6CORGdv7bByw8CTmwYunok2ZiS7wNDOh2nMe4K5zgEXZQuj3pqa4jPi695jKDzNmph8bHH0Dn61dZNsnbkxe9K5cV70frGiJzzKulajw5ZHC2a2NSUoKMNv/0pjwNd2XqAt3V4QVt7k2Dr4wA81dGAG6ZQZf31YC8bTTqN5nKqWx39XHTF9WOA/4tWdoP+E9ApEnnXP/h+ydsQFnrdmLE1XK+DgRPrh6zp/GwBIvQX4SAR9vZblvYV5qJl/cxoDZE5aGPUHCDEhiloo9wUL+vn/99OukbADPTajiH14dloz9/st/dnGEafp2h8rSU3yaXaQrCNtBCu9rwh3chCy0T2uCIFX55+o2+Rd48a0R7FV6PPRYn9opFivhl8bHBG1p1vhu+Lbc3zxTZgkJRXLiv9bodWUt+soKszOkzvbnSRt/noVkDh4R+BVlaOQYfJrovODA0G2YpFSMSyc9Bf8i/rQa+NZrQHPTvEPR6tEOYpLUPXEOgqQc+OcsjKRqJ+0N1UoDwmkd7vuAc9JJJN6HDewaSLb07AqIW44SP0BMaxIQyrjWUbgCEk6TDUwQPWr6NzTBmFNvrFDQBlMdEnFjPQbd1wruJWqbXOXc6Lr3k00LmxsBkdWbAUbbgamz2pSjvyYm6IdePQ+Jg9Jk/WnS7QXuVYVm05thl9/lb7c+Oyrae29ibB1qXAWp7smMPd2V/L2YDe0+pIpAFtkPgCLe4GWtzJaJlZ7l9tHbbF8S9bHwhD4mPZhqyuwQPWt2ft99uU3oMmuHcD8dDxrc0cdDHDjaQL3s5Ft9mb4xPxJrROcBtpD/oO6HSom0kT9Dlo48tzhORe33+NNtTGe8gbxrZG0fiazVlrjsvVJuhrqGKT9cx52R7HrCysCD8MDS5hrlAJLbxDpbaofqNvkXePSmgheSDpXPJu8T3tDejWM0NIhy9255vBx+oysmDXD3toa9A/NCPL07UWHZbWXkFXHoejLeC70eLmo/uar87RvyZjQ6gMZ69PyZ87mLTXqhlL0HtKE1qBbkevawN67WegSVSIZWvRhfza6DpBH40mz3GCvgPaixbHxfdQ/VZr5T3ouu5AA+oHYbj8JLTH8BU0LtvIimpJfWB7tKEsjlnPotsfbkKveVi1/Vk01vRH/eYnwKZhg9vayI8poKPPgg9kY2KD15Ptvc6ymtrLeXJsy7KedI/1QDPqW+1oEtiTeeiVYu4ANBkRNOYN8AuyXeG/M++6VtK1EdifdKeGMBR9OjDeD10vQrhPHyCNA1lbB3lbB9Zga28Sht4fCKzh5Y7FLuvQ5O859N4OJJGBqL9mbb2Z4oSGjkf8PPT3+c9B1zUA3MQI9H7ORBsCYt9/Gl39PjR+BVuXoDF6kG/4vgrYMnRwezudr+Gx6MKGOwPbkY526AuEpPoJypPq69E6wI5onWElOnVtOz+dZC66mONDlCforf4VdM1GV59+BetFN7ZtisbXElo3m4bGsDXA4CrKhA6qTdDXUtv8sLV07nXJykIS0eycu510vmwJ7Rk8i8oVzzz9Rt8i7x6V0ArrTaSJSxHCcT9Eh6aFZKc73+zwsYwsfL6+G1snd2Nr0J/164lSvrJ2qMzdhFZEi/7umcCjtLgXSeRodEjsW2gCtwQIe8K+Rbr9VlgUbg3aGxPTBHwZ+KK3YTxawbkGeB+WoNdKE3AJuu9vfH+vJPXXEpow/T+69oESup/zV9B9z+vQ4H8RusdvnKDfiFaiqk3QzwROorwR4Dq0ASkk6P3Q7UHqsQS9FsJ1/RlwCGnMaqLFvQDc5//f5mX3oStJr/fyJlrcDcDGusFr24ExImWNcLEP7Ep+TAxJSnfl/mo6x4oi5MW/PFaRrmwbaEbtfgttkOjJPPRK8XtPdO91SBsgmp1zv0YT7nZgrJRP4aikayd0JEJ/0mfwQ+iopv4UHwFQQkc/3YTG36Brr8jWUClsds79Cm3IKWprbxJG69wKjGczjYRGyBZ3Lzo1Kgw/b6LFXe9tjRsg/6uK7wu/ux34N7QRawIwjkQGERL0xR2J/NVouZX6fot7Hp2a47yeZlrcPRlbm4Otwwa1tQHjRMp61vdEdzR4xjlWOle2EvzWZg669ogm1SJj0WfnQXRqwFw0Qf8b2njkUN+dS5qM5yfomlDs6vUvwhJ0Y9umaHwtAUcCF+MbV7286jKt2gT9NfyepSIy0LfoFmE5MMWvfhr2DF0e6RLoSCJmROf1p7yiUKllukNXpN/oWywHpob7Fy2GE1Ntgh5/7vDNSH+WNvQhmx4dsxwYI+XDt2q1NQx5zOofiffjHv7u/qSV7K+iFbiVwC5+G5kwz0VlHr9I3Ao0wUeEAeizG//mkIiBzn8dgyVi1aPXdbtIkpd8540G6ipBDwzA38MadZWj/t3sdU6jPEEPNHn5QLS3fxjvMr8QQUTYXYRjRDjAPw/vNN3GLE9Wttq/d8gmjl66Eu1ZnQrgE/Uu9fvh7ZvRJKW7+7cCmCyiSaxIRwWjO1ajvZLhOyuVwysoj09C5x7zniToefWB7PUJdZf4Wq+g7Lp2xO+dw7SlLuJ3b5ZllWyN60YZH6hoa29SxIff8u+x7E1gIknVu4KE1dUbgcvQ37cKLQfT1chXMb6AXeTIOj1bE0Yvy3u2htEXF47TUTk7oY3BR6IJduj5vh1tYJ+D/pYdgd+T/ra56NoLFwKTERnpj/0cOj9/jtc9FN3Lfi8sQTe2bZYD00JnWxfxNRsnQ+dcnBcUotqKSitwiOgQmRMpPq6+FR2C9AERaQI+7GV7isgE4FC0d3IR8DF/AYTOreyVWqZbgcki8h4RmU26IIjRd2hF/eVwEWkGjqB3KzWtwI4iMkdE5qArtJbhF29bBHzU+9gZ/jzQudvhQarJVufcm+jw0aO9/tMj/Uf756aliK4KLAZmk8gorwfgUWAOiUyL7H8EOECEcSLshxa0jwIf8Xsfn0TneZKDKK8Aglaq9iCRK0nkAhL5Eom8t6Ct2wRymrj4Red7OYS4MqkUq9B3bkSB3kzQ9bi4wbMBrchlj8kmdO+qBB3ttT4PraCPo/pyrzfIJqBNaGzYl0RKlMeeo/ywW0GTiDeAY/w8dDn94B8tQRu0jxZhIPo8V4qJ80VoBD5Ius/48QAinWOk5zH/frQIDegQ327xI3We8OeF+JfHw8BEEeaLMB4dUZBNyHsyxL0VTVR3EZHd0VWus9dnKP66RvWNJWgP49F+6PtJXlc98H4RmYQORX+nE/Q8W5/L2HpyBVtrQxcd/QaJfIVEPk8ix1SwtRU4OvLXt9DGgw5/Jd07+KPE66CIfByRhYhcUsGK5WiSfiwt7lG0A+dF/7s/1qGrPTdBbwX2I5FGKj9bq7ytHwu2nnHw5eG6HuXnnn8K7YneMzRUifSZ9Y5mobYOQ+N4SNA3oGtSbPKfs+XPFC9vQJN4hy5AOQYdxTEWbbDdw/9vHNpINAfD2HZpRUc7HSgiO1C+c0JMNk4OQBspj/aNp5XKxU5UW1FZiD6896MtmkVZ5N9/AvwZLURa0aTgDtKhxa3oEKUH0GRhFBogGtBhnZBf8IUk6H/Q+UVbowJmdE3wgatR/6lD7+Xn0QrID6muUvOAP+9Q/znMC7uJrn1gIVoY/QWt1LyIVoIvBn5e0NbLu7C1FR2S/LC3bSlaabnYy0IF7FKv64IudGW5Ca1Q/NnrAx3K1g+4Cwh7ld6PBpK/kLaaP4zOT30Y+Jb/zs1Evfto8ncfWuAfAkxE9ylegs7RG4EOeTM87sdOwjZV/r0JrRjF13VnUj8KFfzgA3Xo8PU8HwgVzyn+uBVe11L/eTbqQ9sDv/Sy04ASiZxKIt/y2xodSyKTSWS632LoUBI5nDFMRUdd1JE2hs70tjagQ3ZDgv5t/13n8+5L0PcEbnOOu9AFj96RPY6jRhvQ63gfel1Dg99C9JrehTYW4mWz0Gd8/0h2MnpfhsxsfnI9mjScizbG7eL1XY/ey9Nz9IfYdj1wjAjPAL+qYPqzaEy8DG3Y276Kn92KVlweRONgHvejDQy3oLF2OzRB/19oOX8VPetBD/WBm9FpGWHO/3Ho9fg9aRJ3MlqWDEanE4Tr+ij6LARdP0XvX+hBP9v/fSXpQorzvayV6sqy7/jzvkYaG7qydVCOrTMq2ForF6AJ2TfRCmaYNvEdtP72DVIfm436677+3IXAqeh9HoTGq3bge+hK7CAyHvgBev1OQuTQTha0uM1o49oFJPIouu7GOrRx4jzCfPaNNKKLt9WhnT/BrmGo74cK8UL/m7K2nuZtHTh3+8fWof5/HvpszUSH0jcBd4nwO7ShoS8wB3gE58ahdo5FOyZ+hHONaOPCXLTH/HS0nnAZei8nArNxbgT62w8FXse5UBZsRtcauAnnhqN1pl3wo2ANYxskxNcEXTSy02KoIjIEzVv3QuPvU6Tx+ww0puyfPa8S1Sayd/v3sNhRIZxzq9FCZAzpGP4H0Ja+ndBKC+hiFKD7OIL+0Nedc2u8jkorXi9Ge0ea6dnqr8bbhHNuFbqYyVhSHygBLznn1qE9z9VUal725y1FC+JX0Nb2CUTzr3MIPvweb5fzsmH43skubF1WwNbgw3Mz+utRX8/qeqkLXeV8gg1cw1m8wBKWUc8zfAbd9u1JtJI7Hh3Cf7e3caL/XQ6t6IFWpsLKrq/h3CqcewOdo7YT8CLOtaNJ+VCe5XxWM4elfIlV7ICreYXnvz8SERKZRCLT/efJDGIisDxzXXcAXsa5NrRBqB6NVUu9bBn5PlBC792L/rjl6EijV/znF/xxk4GXvGwp6Xzbkeh9vgBNlm5Bn42hwKlMZF9gGc61oT7/BtqD/hLOrQGeR2PzZOB51F+fpy8n6CLbIfITRC5B5KfUy4SLjv/8uRNGL53fNOrlayaNeeHqP5xzyCg9lEEi1FUxhLsY6heN0eeQdMXXdTgP8hhaEZ68WIxTAAACPElEQVQCHXtKh/ixG+nctSCL9yL+E1oGh6HiQX/sA/ejjUVT8Vstfu9TZ15bP2T1zcBODUPeupek85Qx3xN+C/kjKroj2Lp7pQOcYzU6bHYY6o8b0OdhCVrOL6Vogp7I8STySxI5wO+LfR7ai78SjX+j0Xg3HnjRx9xX0OuTrW8E+ztGEznnVqDxdRzlWybGZcFktBFgqZdVs5NCXlnQm7bWxAPP7vGDV95sXP/ym6WLVqwePaltw9Dgw0txbi2pjxXx1y1e1oD319cYd/KTTP/v2zjotb8y7VvrGXRCdms9EeTDF9949Rurx/x205b+javahl+PVozD794NgE2Mpzy+juQxHvHfOxU6FrOLbe2fkWWfrbDoHA5Z+X0+88WZLFqzF/f3P4mrHi1+Jd9W1qCdCKB+cjXqQzd62YPoczwFeAatizyHXpNr0DIef147Yfs75zag+85vAn7jj1mENnbZSu7GNolzbjk6GiisFZJHKPdfyJQFf0LLiKqmiUg1e6eLiFXODcMwDMMwDMMwDKMKnHPZLY9zqSpBNwzDMAzDMAzDMAzj7cHmahuGYRiGYRiGYRhGH8ASdMMwDMMwDMMwDMPoA1iCbhiGYRiGYRiGYRh9AEvQDcMwDMMwDMMwDKMPYAm6YRiGYRiGYRiGYfQBLEE3DMMwDMMwDMMwjD6AJeiGYRiGYRiGYRiG0QewBN0wDMMwDMMwDMMw+gCWoBuGYRiGYRiGYRhGH8ASdMMwDMMwDMMwDMPoA/x/n1jQtrUnYssAAAAASUVORK5CYII=\n", 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "#Visualize a few reconstructed sequence patterns\n", "\n", "plot_examples = np.arange(10).tolist()\n", "save_examples = []\n", "\n", "importance_scores_test *= sequence_mask[None, None, :, None]\n", "\n", "for test_ix in plot_examples :\n", " \n", " print(\"Test sequence \" + str(test_ix) + \":\")\n", " \n", " y_test_hat_ref = predictor.predict(x=[x_test[test_ix:test_ix+1, ...]], batch_size=1)[0, 0]\n", " y_test_hat = predictor.predict(x=[sample_test[test_ix, ...]], batch_size=32)[:32, 0].tolist()\n", " \n", " print(\" - Prediction (original) = \" + str(round(y_test_hat_ref, 2))[:4])\n", " print(\" - Predictions (scrambled) = \" + str([float(str(round(y_test_hat[i], 2))[:4]) for i in range(len(y_test_hat))]))\n", " \n", " save_figs = False\n", " if save_examples is not None and test_ix in save_examples :\n", " save_figs = True\n", " \n", " plot_dna_logo(x_test[test_ix, 0, :, :], sequence_template=sequence_template, figsize=(14, 0.65), plot_start=0, plot_end=205, plot_sequence_template=True, save_figs=save_figs, fig_name=model_name + \"_test_ix_\" + str(test_ix) + \"_orig_sequence\")\n", " plot_dna_logo(pwm_test[test_ix, 0, :, :], sequence_template=sequence_template, figsize=(14, 0.65), plot_start=0, plot_end=205, plot_sequence_template=True, save_figs=save_figs, fig_name=model_name + \"_test_ix_\" + str(test_ix) + \"_scrambld_pwm\")\n", " plot_dna_importance_scores(importance_scores_test[test_ix, 0, :, :].T, encoder.decode(x_test[test_ix, 0, :, :]), figsize=(14, 0.65), score_clip=None, sequence_template=sequence_template, plot_start=0, plot_end=205, save_figs=save_figs, fig_name=model_name + \"_test_ix_\" + str(test_ix) + \"_scores\")\n", " " ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Environment (conda_tensorflow_p36)", "language": "python", "name": "conda_tensorflow_p36" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.6.5" } }, "nbformat": 4, "nbformat_minor": 2 }