{ "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", "from keras.layers import Dense, Dropout, Activation, Flatten, Input, Lambda\n", "from keras.layers import Conv2D, MaxPooling2D, Conv1D, MaxPooling1D, LSTM, ConvLSTM2D, GRU, BatchNormalization, LocallyConnected2D, Permute\n", "from keras.layers import Concatenate, Reshape, Softmax, Conv2DTranspose, Embedding, Multiply\n", "from keras.callbacks import ModelCheckpoint, EarlyStopping, Callback\n", "from keras import regularizers\n", "from keras import backend as K\n", "import keras.losses\n", "\n", "import tensorflow as tf\n", "from tensorflow.python.framework import ops\n", "\n", "import isolearn.keras as iso\n", "\n", "import numpy as np\n", "\n", "import tensorflow as tf\n", "import logging\n", "logging.getLogger('tensorflow').setLevel(logging.ERROR)\n", "\n", "import pandas as pd\n", "\n", "import os\n", "import pickle\n", "import numpy as np\n", "\n", "import scipy.sparse as sp\n", "import scipy.io as spio\n", "\n", "import matplotlib.pyplot as plt\n", "\n", "import isolearn.io as isoio\n", "import isolearn.keras as isol\n", "\n", "from genesis.visualization import *\n", "from genesis.generator import *\n", "from genesis.predictor import *\n", "from genesis.optimizer import *\n", "\n", "from definitions.generator.dragonn_deconv_conv_generator_concat import load_generator_network, get_shallow_copy_function\n", "from definitions.predictor.dragonn import load_saved_predictor\n", "\n", "import sklearn\n", "from sklearn.decomposition import PCA\n", "from sklearn.manifold import TSNE\n", "\n", "from scipy.stats import pearsonr\n", "\n", "import seaborn as sns\n", "\n", "from matplotlib import colors\n", "\n", "class IdentityEncoder(iso.SequenceEncoder) :\n", " \n", " def __init__(self, seq_len, channel_map) :\n", " super(IdentityEncoder, self).__init__('identity', (seq_len, len(channel_map)))\n", " \n", " self.seq_len = seq_len\n", " self.n_channels = len(channel_map)\n", " self.encode_map = channel_map\n", " self.decode_map = {\n", " nt: ix for ix, nt in self.encode_map.items()\n", " }\n", " \n", " def encode(self, seq) :\n", " encoding = np.zeros((self.seq_len, self.n_channels))\n", " \n", " for i in range(len(seq)) :\n", " if seq[i] in self.encode_map :\n", " channel_ix = self.encode_map[seq[i]]\n", " encoding[i, channel_ix] = 1.\n", "\n", " return encoding\n", " \n", " def encode_inplace(self, seq, encoding) :\n", " for i in range(len(seq)) :\n", " if seq[i] in self.encode_map :\n", " channel_ix = self.encode_map[seq[i]]\n", " encoding[i, channel_ix] = 1.\n", " \n", " def encode_inplace_sparse(self, seq, encoding_mat, row_index) :\n", " raise NotImplementError()\n", " \n", " def decode(self, encoding) :\n", " seq = ''\n", " \n", " for pos in range(0, encoding.shape[0]) :\n", " argmax_nt = np.argmax(encoding[pos, :])\n", " max_nt = np.max(encoding[pos, :])\n", " seq += self.decode_map[argmax_nt]\n", "\n", " return seq\n", " \n", " def decode_sparse(self, encoding_mat, row_index) :\n", " raise NotImplementError()\n", "\n", "from keras.backend.tensorflow_backend import set_session\n", "\n", "def contain_tf_gpu_mem_usage() :\n", " config = tf.ConfigProto()\n", " config.gpu_options.allow_growth = True\n", " sess = tf.Session(config=config)\n", " set_session(sess)\n", "\n", "contain_tf_gpu_mem_usage()\n" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "\n", "class GenesisMonitor(Callback):\n", " def __init__(self, generator_model, sequence_encoder, run_dir=\"\", run_prefix=\"\", n_sequences=32, batch_size=32, input_tensor_funcs=None) :\n", " self.generator_model = generator_model\n", " self.batch_size = batch_size\n", " self.n_sequences = n_sequences\n", " self.input_tensor_funcs = input_tensor_funcs\n", " self.sequence_encoder = sequence_encoder\n", " self.run_prefix = run_prefix\n", " self.run_dir = run_dir\n", " \n", " if not os.path.exists(self.run_dir): os.makedirs(self.run_dir)\n", "\n", " seqs = self._sample_sequences()\n", " self._store_sequences(seqs, 0)\n", " \n", " def _sample_sequences(self) :\n", " n_batches = self.n_sequences // self.batch_size\n", " \n", " self.input_tensors = [self.input_tensor_funcs[i](i) for i in range(len(self.input_tensor_funcs))]\n", " gen_bundle = self.generator_model.predict(x=self.input_tensors, batch_size=self.batch_size)\n", " _, _, _, _, _, sampled_pwm, _, _, _ = gen_bundle\n", " \n", " seqs = [\n", " self.sequence_encoder.decode(sampled_pwm[i, 0, :, :, 0]) for i in range(sampled_pwm.shape[0])\n", " ]\n", " \n", " return seqs\n", " \n", " def _store_sequences(self, seqs, epoch) :\n", " #Save sequences to file\n", " with open(self.run_dir + self.run_prefix + \"_epoch_\" + str(epoch) + \"_\" + str(self.n_sequences) + \"_sequences.txt\", \"wt\") as f:\n", " for i in range(len(seqs)) :\n", " f.write(seqs[i] + \"\\n\")\n", " \n", " def on_epoch_end(self, epoch, logs={}) :\n", " \n", " seqs = self._sample_sequences()\n", " self._store_sequences(seqs, epoch)\n" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "#Download DragoNN Tutorial 4 models \n", "\n", "## Download SPI1 classification model \n", "#!wget http://mitra.stanford.edu/kundaje/projects/dragonn/SPI1.classification.model.hdf5\n", "#spi1_classification_model=load_dragonn_model(\"SPI1.classification.model.hdf5\")\n", "\n", "## Download SPI1 regression model \n", "#!wget http://mitra.stanford.edu/kundaje/projects/dragonn/SPI1.regression.model.hdf5\n", "#spi1_regression_model=load_dragonn_model(\"SPI1.regression.model.hdf5\")\n" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "\n", "#Define margin activity loss function\n", "def get_activity_loss(fitness_target, fitness_weight=2., pwm_start=0, pwm_end=1000, pwm_target_bits=1.8, vae_pwm_start=0, entropy_weight=0.0, entropy_loss_mode='margin', similarity_weight=0.0, similarity_margin=0.5) :\n", " \n", " masked_entropy_mse = get_target_entropy_sme_masked(pwm_start=pwm_start, pwm_end=pwm_end, target_bits=pwm_target_bits)\n", " if entropy_loss_mode == 'margin' :\n", " masked_entropy_mse = get_margin_entropy_ame_masked(pwm_start=pwm_start, pwm_end=pwm_end, min_bits=pwm_target_bits)\n", " \n", " pwm_sample_entropy_func = get_pwm_margin_sample_entropy_masked(pwm_start=pwm_start, pwm_end=pwm_end, margin=similarity_margin, shift_1_nt=True)\n", " \n", " def loss_func(loss_tensors) :\n", " _, _, _, sequence_class, pwm_logits_1, pwm_logits_2, pwm_1, pwm_2, sampled_pwm_1, sampled_pwm_2, mask, sampled_mask, pred_bind, pred_score = loss_tensors\n", " \n", " #Specify costs\n", " fitness_loss = fitness_weight * K.mean(K.maximum(-K.print_tensor(pred_score[..., 0], message=\"score_pred=\") + fitness_target, K.zeros_like(pred_score[..., 0])), axis=1)\n", " \n", " entropy_loss = entropy_weight * masked_entropy_mse(pwm_1, mask)\n", " \n", " similarity_loss = similarity_weight * K.mean(pwm_sample_entropy_func(sampled_pwm_1, sampled_pwm_2, sampled_mask), axis=1)\n", " \n", " #Compute total loss\n", " total_loss = fitness_loss + entropy_loss + similarity_loss\n", " \n", " return total_loss\n", " \n", " return loss_func\n", "\n", "class EpochVariableCallback(Callback):\n", " def __init__(self, my_variable, my_func):\n", " self.my_variable = my_variable \n", " self.my_func = my_func\n", " def on_epoch_end(self, epoch, logs={}):\n", " K.set_value(self.my_variable, self.my_func(K.get_value(self.my_variable), epoch))\n", "\n", "#Function for running GENESIS\n", "def run_genesis(run_prefix, sequence_templates, loss_func, model_path, batch_size=32, n_samples=1, n_epochs=10, steps_per_epoch=100, n_intermediate_sequences=960) :\n", " \n", " #Build Generator Network\n", " _, generator = build_generator(batch_size, len(sequence_templates[0]), load_generator_network, n_classes=len(sequence_templates), n_samples=n_samples, sequence_templates=sequence_templates, batch_normalize_pwm=False)\n", "\n", " #Build Validation Generator Network\n", " _, val_generator = get_generator_copier(generator)(batch_size, len(sequence_templates[0]), get_shallow_copy_function(generator), n_classes=len(sequence_templates), n_samples=n_samples, sequence_templates=sequence_templates, batch_normalize_pwm=False, validation_sample_mode='sample', supply_inputs=True)\n", " \n", " #Build Predictor Network and hook it on the generator PWM output tensor\n", " _, predictor = build_predictor(generator, load_saved_predictor(model_path), batch_size, n_samples=n_samples, eval_mode='sample')\n", "\n", " #Build Loss Model (In: Generator seed, Out: Loss function)\n", " _, loss_model = build_loss_model(predictor, loss_func)\n", " \n", " #Specify Optimizer to use\n", " opt = keras.optimizers.Adam(lr=0.001, beta_1=0.9, beta_2=0.999)\n", " \n", " #Compile Loss Model (Minimize self)\n", " loss_model.compile(loss=lambda true, pred: pred, optimizer=opt)\n", " \n", " #Randomized validation tensors\n", " val_random_tensor_funcs = [\n", " lambda i: np.array(np.zeros(n_intermediate_sequences)).reshape(-1, 1),\n", " lambda i: np.random.uniform(-1, 1, (n_intermediate_sequences, 100)),\n", " lambda i: np.random.uniform(-1, 1, (n_intermediate_sequences, 100))\n", " ]\n", "\n", " #Standard sequence decoder\n", " acgt_encoder = IdentityEncoder(1000, {'A':0, 'C':1, 'G':2, 'T':3})\n", " \n", " #Build callback for printing intermediate sequences\n", " random_genesis_monitor = GenesisMonitor(val_generator, acgt_encoder, run_dir=\"./samples/\" + run_prefix + \"/\", run_prefix=\"intermediate\", n_sequences=n_intermediate_sequences, batch_size=batch_size, input_tensor_funcs=val_random_tensor_funcs)\n", "\n", " #Fit Loss Model\n", " train_history = loss_model.fit(\n", " [], np.ones((1, 1)),\n", " epochs=n_epochs,\n", " steps_per_epoch=steps_per_epoch,\n", " callbacks=[random_genesis_monitor]\n", " )\n", " \n", " train_history = None\n", "\n", " return generator, predictor, train_history\n" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "#Specfiy file path to pre-trained predictor network\n", "\n", "save_dir = os.path.join(os.getcwd(), '')\n", "saved_predictor_model_name = '../../../seqprop/examples/dragonn/SPI1.classification.model.hdf5'\n", "saved_predictor_model_path = os.path.join(save_dir, saved_predictor_model_name)\n" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "#Maximize isoform proportions for all native minigene libraries\n", "\n", "sequence_templates = [\n", " 'N' * 1000\n", "]\n" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "scrolled": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Training GENESIS\n", "Epoch 1/150\n", "100/100 [==============================] - 16s 163ms/step - loss: 4.7470\n", "Epoch 2/150\n", "100/100 [==============================] - 8s 77ms/step - loss: 1.0085\n", "Epoch 3/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.7884\n", "Epoch 4/150\n", "100/100 [==============================] - 8s 77ms/step - loss: 0.7327\n", "Epoch 5/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.7167\n", "Epoch 6/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.6932\n", "Epoch 7/150\n", "100/100 [==============================] - 8s 77ms/step - loss: 0.6626\n", "Epoch 8/150\n", "100/100 [==============================] - 8s 77ms/step - loss: 0.6553\n", "Epoch 9/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.6445\n", "Epoch 10/150\n", "100/100 [==============================] - 8s 77ms/step - loss: 0.6228\n", "Epoch 11/150\n", "100/100 [==============================] - 8s 77ms/step - loss: 0.6155\n", "Epoch 12/150\n", "100/100 [==============================] - 8s 77ms/step - loss: 0.6116\n", "Epoch 13/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.6010\n", "Epoch 14/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.6005\n", "Epoch 15/150\n", "100/100 [==============================] - 8s 77ms/step - loss: 0.6090\n", "Epoch 16/150\n", "100/100 [==============================] - 8s 77ms/step - loss: 0.5955\n", "Epoch 17/150\n", "100/100 [==============================] - 8s 77ms/step - loss: 0.5942\n", "Epoch 18/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5851\n", "Epoch 19/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5876\n", "Epoch 20/150\n", "100/100 [==============================] - 8s 77ms/step - loss: 0.5834\n", "Epoch 21/150\n", "100/100 [==============================] - 8s 77ms/step - loss: 0.5811\n", "Epoch 22/150\n", "100/100 [==============================] - 8s 77ms/step - loss: 0.5881\n", "Epoch 23/150\n", "100/100 [==============================] - 8s 77ms/step - loss: 0.5756\n", "Epoch 24/150\n", "100/100 [==============================] - 8s 77ms/step - loss: 0.5817\n", "Epoch 25/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5813\n", "Epoch 26/150\n", "100/100 [==============================] - 8s 77ms/step - loss: 0.5842\n", "Epoch 27/150\n", "100/100 [==============================] - 9s 91ms/step - loss: 0.5766\n", "Epoch 28/150\n", "100/100 [==============================] - 8s 77ms/step - loss: 0.5756\n", "Epoch 29/150\n", "100/100 [==============================] - 8s 77ms/step - loss: 0.5804\n", "Epoch 30/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5808\n", "Epoch 31/150\n", "100/100 [==============================] - 8s 77ms/step - loss: 0.5844\n", "Epoch 32/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5803\n", "Epoch 33/150\n", "100/100 [==============================] - 8s 77ms/step - loss: 0.5791\n", "Epoch 34/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5771\n", "Epoch 35/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5821\n", "Epoch 36/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5827\n", "Epoch 37/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5794\n", "Epoch 38/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5740\n", "Epoch 39/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5738\n", "Epoch 40/150\n", "100/100 [==============================] - 8s 77ms/step - loss: 0.5792\n", "Epoch 41/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5819\n", "Epoch 42/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5802\n", "Epoch 43/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5741\n", "Epoch 44/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5756\n", "Epoch 45/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5729\n", "Epoch 46/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5701\n", "Epoch 47/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5724\n", "Epoch 48/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5700\n", "Epoch 49/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5766\n", "Epoch 50/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5742\n", "Epoch 51/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5700\n", "Epoch 52/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5720\n", "Epoch 53/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5751\n", "Epoch 54/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5731\n", "Epoch 55/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5684\n", "Epoch 56/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5763\n", "Epoch 57/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5712\n", "Epoch 58/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5729\n", "Epoch 59/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5680\n", "Epoch 60/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5697\n", "Epoch 61/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5686\n", "Epoch 62/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5713\n", "Epoch 63/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5687\n", "Epoch 64/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5699\n", "Epoch 65/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5702\n", "Epoch 66/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5706\n", "Epoch 67/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5673\n", "Epoch 68/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5727\n", "Epoch 69/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5767\n", "Epoch 70/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5729\n", "Epoch 71/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5690\n", "Epoch 72/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5695\n", "Epoch 73/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5762\n", "Epoch 74/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5677\n", "Epoch 75/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5708\n", "Epoch 76/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5733\n", "Epoch 77/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5769\n", "Epoch 78/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5720\n", "Epoch 79/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5755\n", "Epoch 80/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5760\n", "Epoch 81/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5673\n", "Epoch 82/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5744\n", "Epoch 83/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5694\n", "Epoch 84/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5694\n", "Epoch 85/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5741\n", "Epoch 86/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5745\n", "Epoch 87/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5648\n", "Epoch 88/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5672\n", "Epoch 89/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5635\n", "Epoch 90/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5670\n", "Epoch 91/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5743\n", "Epoch 92/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5680\n", "Epoch 93/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5697\n", "Epoch 94/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5671\n", "Epoch 95/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5689\n", "Epoch 96/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5676\n", "Epoch 97/150\n", "100/100 [==============================] - 8s 77ms/step - loss: 0.5698\n", "Epoch 98/150\n", "100/100 [==============================] - 8s 77ms/step - loss: 0.5666\n", "Epoch 99/150\n", "100/100 [==============================] - 8s 77ms/step - loss: 0.5638\n", "Epoch 100/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5663\n", "Epoch 101/150\n", "100/100 [==============================] - 8s 77ms/step - loss: 0.5735\n", "Epoch 102/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5757\n", "Epoch 103/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5715\n", "Epoch 104/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5712\n", "Epoch 105/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5709\n", "Epoch 106/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5706\n", "Epoch 107/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5705\n", "Epoch 108/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5825\n", "Epoch 109/150\n", "100/100 [==============================] - 8s 77ms/step - loss: 0.5717\n", "Epoch 110/150\n", "100/100 [==============================] - 8s 77ms/step - loss: 0.5683\n", "Epoch 111/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5685\n", "Epoch 112/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5649\n", "Epoch 113/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5696\n", "Epoch 114/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5616\n", "Epoch 115/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5612\n", "Epoch 116/150\n", "100/100 [==============================] - 8s 77ms/step - loss: 0.5655\n", "Epoch 117/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5669\n", "Epoch 118/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5693\n", "Epoch 119/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5690\n", "Epoch 120/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5643\n", "Epoch 121/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5678\n", "Epoch 122/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5671\n", "Epoch 123/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5644\n", "Epoch 124/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5652\n", "Epoch 125/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5711\n", "Epoch 126/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5695\n", "Epoch 127/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5616\n", "Epoch 128/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5671\n", "Epoch 129/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5630\n", "Epoch 130/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5645\n", "Epoch 131/150\n", "100/100 [==============================] - 8s 77ms/step - loss: 0.5562\n", "Epoch 132/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5604\n", "Epoch 133/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5627\n", "Epoch 134/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5629\n", "Epoch 135/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5590\n", "Epoch 136/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5637\n", "Epoch 137/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5570\n", "Epoch 138/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5665\n", "Epoch 139/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5599\n", "Epoch 140/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5645\n", "Epoch 141/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5595\n", "Epoch 142/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5642\n", "Epoch 143/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5627\n", "Epoch 144/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5572\n", "Epoch 145/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5585\n", "Epoch 146/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5623\n", "Epoch 147/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5653\n", "Epoch 148/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5590\n", "Epoch 149/150\n", "100/100 [==============================] - 8s 77ms/step - loss: 0.5719\n", "Epoch 150/150\n", "100/100 [==============================] - 8s 76ms/step - loss: 0.5735\n", "Saved trained model at saved_models/genesis_dragonn_max_spi1_25000_updates_similarity_margin_02_earthmover_weight_01_target_700_fixed_generator.h5 \n", "Saved trained model at saved_models/genesis_dragonn_max_spi1_25000_updates_similarity_margin_02_earthmover_weight_01_target_700_fixed_predictor.h5 \n" ] } ], "source": [ "#Train MPRA-DragoNN GENESIS Network\n", "\n", "print(\"Training GENESIS\")\n", "\n", "model_prefix = \"genesis_dragonn_max_spi1_25000_updates_similarity_margin_02_earthmover_weight_01_target_700_fixed\"\n", "\n", "#Number of PWMs to generate per objective\n", "batch_size = 64\n", "#Number of One-hot sequences to sample from the PWM at each grad step\n", "n_samples = 10\n", "#Number of epochs per objective to optimize\n", "n_epochs = 150#250\n", "#Number of steps (grad updates) per epoch\n", "steps_per_epoch = 100\n", "\n", "#Number of sequences to sample and store for each epoch\n", "n_intermediate_sequences = 960\n", "\n", "K.clear_session()\n", "\n", "loss = get_activity_loss(\n", " 70.0,\n", " fitness_weight=0.1,\n", " pwm_start=0,\n", " pwm_end=1000,\n", " pwm_target_bits=1.8,\n", " entropy_weight=0.5,\n", " entropy_loss_mode='margin',\n", " similarity_weight=5.0,\n", " similarity_margin=0.2,\n", ")\n", "\n", "generator_model, predictor_model, train_history = run_genesis(model_prefix, [sequence_templates[0]], loss, saved_predictor_model_path, batch_size, n_samples, n_epochs, steps_per_epoch, n_intermediate_sequences)\n", "\n", "generator_model.get_layer('lambda_rand_sequence_class').function = lambda inp: inp\n", "generator_model.get_layer('lambda_rand_input_1').function = lambda inp: inp\n", "generator_model.get_layer('lambda_rand_input_2').function = lambda inp: inp\n", "\n", "predictor_model.get_layer('lambda_rand_sequence_class').function = lambda inp: inp\n", "predictor_model.get_layer('lambda_rand_input_1').function = lambda inp: inp\n", "predictor_model.get_layer('lambda_rand_input_2').function = lambda inp: inp\n", "\n", "# Save model and weights\n", "save_dir = 'saved_models'\n", "\n", "if not os.path.isdir(save_dir):\n", " os.makedirs(save_dir)\n", "\n", "model_name = model_prefix + '_generator.h5'\n", "model_path = os.path.join(save_dir, model_name)\n", "generator_model.save(model_path)\n", "print('Saved trained model at %s ' % model_path)\n", "\n", "model_name = model_prefix + '_predictor.h5'\n", "model_path = os.path.join(save_dir, model_name)\n", "predictor_model.save(model_path)\n", "print('Saved trained model at %s ' % model_path)\n", "\n", "#0.01 at beginning of epoch 3" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "scrolled": true }, "outputs": [], "source": [ "#Specfiy file path to pre-trained predictor network\n", "\n", "saved_predictor_model_path = \"../../../seqprop/examples/dragonn/SPI1.classification.model.hdf5\"\n", "\n", "def _dummy_min_pred(y_true, y_pred) :\n", " return y_pred\n", "\n", "saved_predictor = load_model(saved_predictor_model_path, custom_objects={\n", " 'ambig_binary_crossentropy' : _dummy_min_pred,\n", " 'precision' : _dummy_min_pred,\n", " 'recall' : _dummy_min_pred,\n", " 'specificity' : _dummy_min_pred,\n", " 'fpr' : _dummy_min_pred,\n", " 'fnr' : _dummy_min_pred,\n", " 'fdr' : _dummy_min_pred,\n", " 'f1' : _dummy_min_pred\n", "})\n", "\n", "saved_predictor = Model(\n", " inputs=saved_predictor.inputs,\n", " outputs = [saved_predictor.get_layer('dense_2').output]\n", ")\n", "\n", "saved_predictor.compile(\n", " loss='mse',\n", " optimizer=keras.optimizers.SGD(lr=0.1)\n", ")\n", "\n", "\n", "acgt_encoder = IdentityEncoder(1000, {'A':0, 'C':1, 'G':2, 'T':3})\n" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [], "source": [ "#Load and re-save version of generator where train=True set on batchnorm layers\n", "\n", "#Build Generator Network\n", "_, generator = build_generator(64, 1000, load_generator_network, n_classes=1, n_samples=10, sequence_templates=sequence_templates, batch_normalize_pwm=False)\n", "\n", "#Build Validation Generator Network\n", "_, generator_trainmode = get_generator_copier(generator)(64, 1000, get_shallow_copy_function(generator), n_classes=1, n_samples=10, sequence_templates=sequence_templates, batch_normalize_pwm=False, validation_sample_mode='sample', supply_inputs=False)\n", "\n" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [], "source": [ "\n", "generator_trainmode.load_weights(\"saved_models/genesis_dragonn_max_spi1_25000_updates_similarity_margin_02_earthmover_weight_01_target_700_fixed_generator.h5\")\n" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [], "source": [ "\n", "generator_trainmode.get_layer('lambda_rand_sequence_class_copy_1').function = lambda inp: inp\n", "generator_trainmode.get_layer('lambda_rand_input_1').function = lambda inp: inp\n", "generator_trainmode.get_layer('lambda_rand_input_2').function = lambda inp: inp\n" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [], "source": [ "\n", "generator = generator_trainmode\n" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Saved trained model at saved_models/genesis_dragonn_max_spi1_25000_updates_similarity_margin_02_earthmover_weight_01_target_700_fixed_trainmode_generator.h5 \n" ] } ], "source": [ "\n", "model_name = model_prefix + '_trainmode_generator.h5'\n", "model_path = os.path.join(save_dir, model_name)\n", "generator.save(model_path)\n", "print('Saved trained model at %s ' % model_path)\n" ] }, { "cell_type": "code", "execution_count": 16, "metadata": { "scrolled": true }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/home/ubuntu/anaconda3/envs/tensorflow_p36/lib/python3.6/site-packages/keras/engine/saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually.\n", " warnings.warn('No training configuration found in save file: '\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "score_pred = 75.81558\n" ] }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "score_pred = 73.90916\n" ] }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "score_pred = 72.12181\n" ] }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "score_pred = 70.75448\n" ] }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "score_pred = 74.941444\n" ] }, { "data": { "image/png": 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Bvgn52gV4FZgMHAE0AbYOxxcBa4D7gGbAtsBfVPWuLPc9DHgpT9Hsoarj8pRbXGnro6rT8qTlOI7jOI7jOE4Dp8GGR6rqGuBETOHZCvgVFi45RUS2D+dMAk4GJmKes0/D3/fMkuQvgMOAtZjidIWqHoOFXEq4RpxHVfVwzNP2PdAd2CtLukMwhW0JMD58fgk0B47HvIKNMEXqEeBSVR0I3JvjvsepquTZxuUoso2GCE1F6Bnb7yJCqxznthChyw+Xu/UkJb1JSbNi/yZCYxF6re/lRRAR+sb2W4vQOce5JSL0Wd9rFkVKhJSU1uWvInQSoX19Z6nANduJ0GkDpNtWJHvkQmgfbev7mj8IKWlMSvrmOd6PlJSE781JySb1cM0SUlKx3unUTLc5Kele7+k2dKw8ZWNnoy6I0EiEjrH9BiuzbDRS0pWUtMlxrBUp6RHb70VKWtTDNTuTkg7rnc6GwvLXri5/jY+364MIfaL6KkKTfPKAyA8w5cf6v+Yb/Dq1JSWNSEm3PMfjY0sLUrLe8lS4Zv2PLT8gDTY8EkBV7xeRxzDFaTfgJKAcuAQ4WER+BqSy/LUsy28TVXWtiCzDQim/CL8vCZ9JJWNiyMMaEZkKdAZ6UJPe4bMNcFbiWIWqLhWRXwKXAo8DiMh04OfAuGRidQ2P/CGRk6o9jehtKsBlwJkibAHMAV7Dyu+gLH+/CThAhH6MlEXxdOLpxgnXyE9KTgFWUKl3F3ErhdLsjYXGPgscmi9/WcrkfOASEQap8iUirwGXovpC/L+50oylcwjwsAg/VuUZ4C5gOxE2V2VF4i+nAH8XYXtGyvu58pfjOrXHwpLnoLoWGAHcTUoOk5f4T65rJq8hQiOsXNeKsJMqOfOXTKfGvtW7CtWofXEF8IwqryeuKcBDQHcRBquydj2u2Rhoo8oCEZpjBptxwMgsyd0K7CrCQEbKylzpxin6mdS4ARkIrEX1iyzHDgPORHVo2B8DvILqTYiUYm13IKrfAxcCl5GSA6jUpzPSSckuWFu/BjgXCzc/kZTsTKW+h8jnwEmovorInsB1qG5Zi9yfBtxISiqp1PsQeRh4CtXbEOkOTAA2RXUxIr8ChmAGuEL8HRhBSn5EpX6MyDvAKah+kKWM/gRMQfX2gqmm5D5sXNpXRmgbzBB4jioP1CJP602o19cC96nydiJvAjwJtCIle8lLrM6VzvrUuSzt40SgjyoXF/W/mn3GJdjYsjkwD3hNhDdV+XWNtIRTsWibIxkpVbnSjbPe7ayuiDQGTgDuRXV5luPPAXeimkKkH/AG0A3VNYhcBGyC6smkpDXwNrCAlGxHpa5JpHQHcCAp2RYzgH8EvE9KhjOCw4AzYv3A/cDLqN6UN+8paYr1dc1JyWBG0Ad4HuiKqiJyOdAB1TNDup8DI8kyHWSDYIrJ60AVKdlaXqoxTmYl1NsfA0+JcIgqj+U7P688IPTDnAiXAldi8sDFIgxUZUpGOsJ2wDsijGCkZJNn0+nmGVPzYsrPOKwf2F5G6Cqsnx2jytxap1MIkSOxPn/vsP8Q8ByqtyDSBVufoj+qC4ALsLFlOJUJZ0RKhob8XomNQTcAx5KSHajUCYhMBo5F9U1E9gWuRHXbWuTwDOBaUnIklfoAIk8AD6H6L0Q2Ad4DeqO6DJFzgQGoHr+epVKvNFirlYg0EZFdVXWlqj6rqhdjDxBMQQI4KnzegnnPov1slbmqwH6SLaJ8QLXlZXqW86aFz5lA88gjBrQkrXzdpardsVDLszDl75Ic1+0Rzsm1ZVMcNxpBYD0bU3p3w7yZmwI/znJuF8z72BkLEa0fUjIQUwbvzOsVKJ6zsTmPPyEltTZwBIH+HKxODgs/b0ndnt1vw+d+YSD4KdCLUD9j15RwbgkmuGwYrD18BwwOAuHlWHs7Lu/fThKNb5jXegiwA9Td2xYsmfdhim0fEfbD5o/emOX0IeG6mwPr6xH6CzA5eD1/htX5I7Lkrxfm5d8UqwM/FBdh83iz0Q2IWxv7kq6bZUApUBqEs3Ox5/vTLOlcED4PJyVlmNGgCXAwIiVYqHrkVe8a9vNjderC6nSNTbFIh8z8GT2hFt5ls+ieiEVAHBTq8fbV6YpIyHPEDsCgWqS7M3A0sAdmXPw11j5/WfC/NdMaQEoqs3nFglf6uhye6cOxseGvWY7tBeyH9c07FZ2nOhA82dcDF4mwCSJdEJmDzVMvJp3mWP3rgJXtwcCOWD1LntsGuBobf4as5y38EJRickvPHMcrSNf5zuH8qPx6kTYW/zyksSXQPyOFlPQDjsRkkf0wIb0dFonUnvz9QD4OxcafPtg4Xh62yLO1SXX+avYDPwRHYPe1GTC4yP9Wj7cAiNyFyHl1yMOvsL5wvxzyQJzzsT72kDpcJy8xz/T+pPu0HTBZ+e/An+uQ6D6I7JLjaHcy+/lcY0szrKwbkZbb40RjwBGkpAtmDG2K9d2Nsedb7NhSQv6xJWpnUSRO7caWH5iG7GlrBrwqIhMxy+VyrLMAGBs+Z4fP/bEGsn89Xv9gEXkQ69g6Y4Lqi1nOex94ExsQ3xWRN7DKNBRruHcCs0VkHJGwayzMdtEQ/lgn61+Yj9c09tM1IrIUOEdV68+akslWmGITsXOec+tFaEhauHQPfk9YnAZrdFOLSk9orxqeh3mRVqE6Hwt7rQtbEFdEbPGcNqQFzdrmqykmWEbkK9tusP7hmJDVkxonuoeycM26Ksn57qUYhpAObe5BujPOFrqT85r5PJE1zrVwrTOxOrcTJhDnYtfaplvPlJG7f+8EdEJEsEnNnUg/106xz5bYnOKamGIRbx87ktlvtcMMCPH0miPSMqtnIU0faq4O3CmRTvQ5NXEsH8lnHwnA0X3/FFN6esd+r0173Tv2vTHpEHor+5T8CBNKLqNSl5ALU5AfwYSPVZhHOM5VmNK5EItsiBPV+WwKXTykv1GW47WiRp+b38q/F+nIlVYhX6XYODq/iMtui9XBiGjaQ7b72IV0XS06nH0jUBb7rOkNz13nZyeO5RujkseS+9n6gdq0pWzpRJ8Lw2fUvqJ+oE4h9HWkTn1uiP7YMfFzX9LRWMUQ72+ihfJykW/8qDMi/ByLvNlZR2coi3Eja11khlMxWfb1LMeS/WZcCYp/dqRmdJtRc2xJ9t3R2B5PrzUizVBdlSffFdSMwsvVzr6h9u0hL6Fe7QW8oJrFWWQRXTOpzJv3ahqspw1YiYV8rMKUsZ9jHcIVmJUbzMr/EvYghmArONYX/8A6/62x0KeDVLWGm11V12EWkpuBtlhj2AYLSXkrnDYWG4BOBAaGY7+px7xG/AKz+kccFn7LLnjVkWjADp8V2By+rYDVYf9KyBoWU4GFcgzNkk7GZ/K3AgzGQqaeKfZeRDgKWCDC0eGn24BzQ8fRD1uo5ppC+ctSJtOxZ72cdMOvMXBFacW3WDq9sQVxBmACagVWl2p4McOxhZgXaV6hsi2yfOPEhY3+wFKsvn9RZJoVwChsAMhLgbLeGlgGvBxOHwQ8RXp+a/Ka/yG7Za+Ya+6ACY6R4SWq89m8exVYCOFhhdJdj2eSjTKyh4mD1cNmpAfN+MBaGvvsB3yLCS7fJNLohAnjO2IKRj+sDW6GlUs8nWyfueiHzf/tA3yGiJApCGT7rE5ThIocc0cqsNehDMLqbDId8xZItZertkrbZsDTmCUdrE2cB7xLSpoAD2LetxrhfAmGkrYW944fCNbyI8NuNuFvIFavswn/m2HP5zdQr/1ABol0tgAmYe0bMvuMfP/L1o9OAXbHImP6hzRHJdPB+r0pBIW2ntvShiB3exBpiskStanz/YDfY3P7k/TD+sUtMXmqH9bfXhpLJ9kP1KbO98P6ushYkC9/GcYgEXqK8FAId83EvN0X1cYjK0JLEe4Uyeq5qsAMMMdA9jqfo/73wIz/g0m3pc5hq0GuvjtEvVRgcuGT4fu3WDvNkCGDh7gc89R/UCB/ta7XQVH4C1aP9see2d1YSC7YuPkCdVNII8+qeVJF/o1I5DEuBVoh1fMm4wbB5NjyDSbbzEyk3wWrk9sDj2Ll9x7WxhfnSC+6Vj76AXOxseWL4AXOlb/os27GBpE7SL9P+gLCqvY1zrNIjclYeHGtaLCeNrX5MnkHOlX9jpqLjtwYOz6NhNdKVdsn9oflSH6eqp6R47rJNOeQJxxGVWuETW0Ikvn6gagAnlTlIxG+wSzCF5Dd27Up8Igqr4hk9YTUlX6Yq/01in+H3xXhcyjw7/D/uUSeARN4noHcc66yUIHNqfpMhO8wN/sSirfaVADvqDJRhJnAPzHh7FlqCm8VwIuqfCFS7YGuFUXGyZdhZVGGWcHHUqkTSEmy462OwY+nGe3LKN7CBKxx1NGzHOiPebN/iykX/bBQimzPqwJbAOhB1s+Q0R/zuv8MG+ArMGEoW7lXhOs9TNr6/EPQgdyelVKsPpYisgYrq9Iax2zwfIJK/YqU/CORRgUwmUp9m5R8ibWjh6jUSaTkLqyMluRIN0MBzKh/e3A68ByVOo2UXIc9p1U50on2GyHSSNBumFFojQi9VDPmb1UAD1Cpn5KS2ZgAFVfeyrH23gaRJeF7bQbsCsx4+NRtL40cFPL7d6z8dyQd/pZ9oYg00UrDtwEalMfHgV+Drg7/P4aEZTwodJsCB5LplYrn71dYff2hFmHph83j/AfW520dfs8q/OahAnhclVdDyOXV2LSCpAEhOnc0Vg9rhPgl+6Jkv1RrUjIAu6/rqdSHi/5/mjJsUbRshpVO5G470X4UURP1aVOhxmJHFcD9VOrHpGReyHcKWBe2eD+wNvZbISqwvvsdrE/bI5G/TrH8JfP+T+AAbH5iUtEsBf6A1dU3C+ThEswg3Z+anph+mJHiQ4rrcyuAD1T5RKR6KkwpuY1fuSjHxrSnsJXFTyZTHojTF/halXEifFTkdfIRhQ9G7+3th8mor4x66cS+2H0dTWZ4bG3pDNXzwUsxI+gtmGIaPe9OiMwP52Wrx72Bx6jUiaTkn1nyPpFKfY+UfIUZRB+iUr8gJXMxRS9X+0iWbzLdZ8LYcj1mdFyWI51ov0nME50bC+HsTaW+hUgrbBrQQyJMJT1NYdMs/7wQ08Nq7R1usEqb819DObZYB6osDHN8vlRlcY5zx4Zz6/wuuRoDb0oWA+9RqYuwyda1QqTa4nMxJqRBWmnrDEyjUldD7sn7OeiMeR9RZSHCNpg1pVirTUY6IpRjZavUDK/NvOZ6kE3ZilGGCU1lmIBqFslKLUpRhOp6YgtzmHW5HNVvi0ynD/CoKktDB9kG+EyVdXmuuQ4y62eRwlw/YKwq34vwSkh3iirZwhvKgcnhmc0r6s7qign8VeQKP7F6GNXH1Vi9Kc1yrDPmMYFKTeY981hKOhMtrFSp8xgh8XSS6eYjM90R0qdAOp2wecUdgGNJC2nNyGy35YSFoKjUuVnyVx7OL8eU2O/IHmKbpBvwGZWqJ49AgWlhgaAVpPgpZiE+mMLzVQYAN1OpV5KSPuHaB2ARHGuBd1UZHfqsOGXAKtXqudVJukb5I/uc7FpRoE9I0hO4K5TDdIQyrDzrIvxOAFBlXlhh7/McY0sP4OXQtrMpdfXFXcB2WL1ZX6VtCtnLpFDbaQUsYDNpzaW0A76iUquo+X7WdFuyqKrZGSG6mW1gDZn9QDVZpiMsBiaFOpWtrTcB1oS5R9XHQrj/PphxNZsQ3D3xmY+DsEUtlmU5VoYZlIrtcxPjtjTBPGPF1tvOwFdhoatqmag63UzKsfJBtajQ4UIMwCLEdsCMR78FPqdS9aQRtAKmqjJXJJRPSq7C+qjjqNS3cqQZ0Zy0ASb5zOJ1oYTc9bicKBqmUuck0s82tjxTvV9/Y0v/Aul0wF711VaENZjBYzFwXMZCR3vQDjMy9CYlx2DGDLCxoSdpBTkzAsSiuXYE/oY9r1rRkMMjnf8OWpDpYdAcg2q2c2tNYhGLNFbxG2GvZchOSnYmJWeElbbiDAYmqPJH4DpEIs9Et5DXWXXJKzXvs5QcA2KR6eQrvzqXbZGhRNEcjMjTVsPDVkuS+d0Z+CYWVlFbWpMW0loBM3IobDWumbNOFaY96fc/lgALcyhssH5lVFfaYF6k5OIaEfHBqRT5lythAAAgAElEQVQbmFpmOdaC3HlPto/kfq0H1kT9S16zFCvr9rH9eDqNsbZfigkov8OUneTzLZS/cqxel4ff5lK7OWAtsfIjXCNu6d0CeJBKnYmt4pePaFVMqNSvSHvoemIW88gwNpeUtCYl/yEl71z0kz8MxCzcaUR2QuS4sNeMOvYL60ErMhXEMuBzihd+q59ZCDmryjO2tGQ9lNJaYa822Q5bvGFSgbNrIEIvkWqvY2lII9uYkLvtpMN359OK7sAcKjXXKrjxOp9tPMvXD+SjhEyjYTx/jTGD0UJM6I1fYwDWrvYArs+yOFV3zHCSV2kToQVmONuXZDSWLTaxmkrNpswVIlsf8S3FR2UUM263pO5yRiYp2YeUzCclT2BepddVUVXexDyfkYxUPWaqoqRkOyykezOyr/idRqQ5pihH80a7YYpttHR/sk59QzrKoJixZWZiv05jSy3GgClkzm+Op1OC1ddSzEt5CDZNKzln9lDMODYeq7vdsHDkblg4/huqjMEMcHG6hrQuxAyOtcKVtgSqelxYAfKyjZ2X/xJaEOK0RWgCuZdRj59bjzQNaUoQZppkHLWVJV/GloxNhrt2xZZARpV5mCXma6xTs7ympJyUHJxF4ctH8j4zOgMR9hThOZHqOQG1TSdf+W2Iss1GXGlrASwnJQNJSbGLzCTzG83nyRZCUCidxbHv+WL066uMWpC24BZK84d6LnHKsPwtIvviFJHSGU20NgtvOsZ/cviM2sCPsjzf6FhfUnJwbH9oWF48ng5Z9nMRpbMtKRkWzp9HOoQ2nY5ZwqvC8U6YUPiQKk9hSmu2dIeSkq3IrrR9Slppm4d5C5qL0FuE0SI1+g8wpXEtKRmyfd93upFp+e9A2rJbyFvfirTyB+Y5mhM+W5EpbJyCeSza9e8yaUiWez0SuCi2CmUJKdkxWKxrjQibifAHsUiBzGP5DR4tEnnqjCltxYZHxttOc/K3o5bY/OGiEaGZCPuKFFw5cVvgfSr1AuAksXdoXizCY4X+K/b+zA+BD0QYgLXRSeQOj/yOdPRHvO20xfq4eTQOArO9i+0gUlKeSCeq88MxA+UKUtIpjGftIXjp0v3AvJDZDLkwY27VHkRKWZOQTs9E/jpiHr95sXSjdtYXC/dfq2pGiATdMe9ZIU9bT+AbVWaq8nHI84mIXBPKbGV4J9lBFPdexmRfXYYJ7ZrD+FXbdDbYuC1CNxEGht3rMfllK0yG+RqIDNsKNCIle+5Q8VZPMiNNhmMRUH2gYIhmGdYvVYX+t3v4T1TOkUIYzRWzvtuMDdnGlu1JyfaZl6g+VpEYW4aRkm1Y/7FlCCnZPZz/PemIw/jY0gILy4/q8XBMuToYahgad8HmD26HzWHshtXjaBHDyOCWlE3KsTDQVVm8jTlxpc1ZX5pBtZeheex7oXOLIo83KGpcnbHB7LDE8SOxOWDbY4JDnNZkeui6YhaxKpZVz6UZgk2Gzf0SyJok77PaYhdCRB7ABOVCcczJdPKVX53LtkjiVvPmmGX011hMezE0TrwnLVr0op/YS8LPFOFmKfyy8Jak77sFRdS/9VisoCUQvW8tKoNcFDqekyA0XyrCvqSkZfCufEtKCi2kEg2W84BSUrIJKbmElJzBH6QxmRbE6NxIwYsrM1F7vgSba5K8r1WYZfbR2P7fsDlUkXc5GkgjRbGUlHQhJY+RkvGkJNkGonTOwhaiivK3EpGWifxFCuf8sN+eMJdWFU083+g53IQZb7IpbZ+Fz0jpjQbs27HQln0BRBghwr+aNF6zPaZMNgbeO2TIo8PJrH+tgYWkpH8tXkViSkdKLiAlh2GC6bvhsyWZgt1+mOI28LHxB39OzTq/BVDOGNpgRrSWWPjOgQXyUE0wwI3FhJUaS+zX4l7ieUobelIipORAUvJbUlLoFRjxtlOoHRVq+/m4E5vPfE/S+yPCViJMFGHC8lUtemDW9ChceG8s7Kw1hV9hcwzwCfYamWi+ZNrTZkrH6HBuVOcJ0R9J78U8rM53CffcBXiMzJWGId2WbsPGwVWYYeNR1rIp5kmeF0t3PtYPtCMlu5GSe0jJ73Ok2Qpr93vkyV+0H0WZtCZmmMiykEd30t6KfGSkE9gfm1sV5a9DKJNiVpJMyi+R0rYA6CjCASJ8IlLQa55MJ9/YvD7jww5Yf/feWftdvxcmA+2Mhdy1Im04aYaFv7YEXthji5d2TuRnK+BuKnUalTqmwGXLMaVtHukVpMcD3YJiVkJmnZqHGbJaU3NsWY3NQb0i8xLV5XcIFoIc7V+PzQ9LRi61IcynE6GxCL8U4fcidMwyBqzC5jteQ7rOrwkrfCfHlng93hK4R5XHs7wftw/wIpWqVOqnoUw+CJ+tIed78FoDc0hJ42KcAq60OevLGtKWivj3QufWFzVC4US4XoRZIlyLWT/+QaW+l2XieCvSwjeklbbv+Yo265HX5H1WD8JNWL0LNi/jaCwkoZh0MvYT1u4NUbbZiHva1lL3ZcSrYu+QgfTKmBXYKqtHAK9S2Dq/LvE9o0/bQGUUV/IKlcGaAsezX8BWFXseqze9gJOwMs/17rU4aaWjDV2wVcJWA+2YSCmmACSFtfh+fJ5LrvLKWzfD/2cDTcNg3oi0ongFFsp2NjXfl5ktnVz5y1RO8xuNks+pU8hDfJn4GZgAXH3NV9htE0wg3xs4TIRdQv5fXFvVJFpwAIAmjdasS1wjUiRGEVagzUPTkMcTsMW1emBKWw8ib16aSEhY+9A7h8+g5ji+KfA6z9OburfPXTFvz07Yu9IyKGDwWJvIU9zQcxym6HyLhWPlI/7MCrWz5DVrhdi7Q4dj7xY7JsuKfddgC5xcqUhbYD4p2ZqUHIcZLP6gyp7YKtb52Bn4syrXYwJdvB8FE1B/HBYxiOrfQmoaUtLtYRFtqf14uy7j3G9pgQnTSQF7Pj+iL7Z40gvU9OJm6xM6kRais7XX2dg8t9bk94bmVtrMc3YuKbn8R33f7pElnQHAIu6mdZb81ZbkvXXG+qy50+neDVN+L4L8L93Okk6hfrSubfQsrG12OWaXe5thXuAVVOoM0ooaJNqOSI1FNdoD04IxrdAUjs6Y0jYnfO+O1efumOd2MZkKe66+O197rs3YMgNoEfOARtf4LWacmkG0wmX+dCLFLPIM1mxn9r0NNQ0FEe2A2aTk0BCREi+TuIE3SStsLD6AIlbxLNjJicg0EVER+Unst+vCb3fW9kL/DYjIsHBf2bbjEud2EpHvwrG8Cz+ISAcR+YeIfCsiK0XkHREZmuU8EZFnYtfcOnbsShH5Ild+YudViMjScM6EupVEUawgHcaxisz3xOU7t76vvxaYffPzp/TG3omxCbbqUEfgW1JyemhUW5GSa0jJFW2aL1ZsMInoioUhzeIbWmMd30zyzZfLn6eIUiw8YXkXZlUQJuAmVrerTToZ+wnhYkOULWBzCGILIEQLkbQJ12xG4ZCKbKwkMza8H6ak9MOe39WqjFbl7QLpxO+7RhlsoDKK7jv5vVD+imE74GNV/q7Kbdi7fP5CpT6czRoaLIwVIjQjbSGeyxC2wgafO4HpfE0X0oJYNDhVhXxGA9fS8BnlPVs/Et33ZEyAivY/iKVdggmLnbC+IVq+f0dMGI6HtsbTjV8zyt/yWH6XxL6vDMejNpaL5SF/yXRLEGkbjn9POjxyObD0Mwb0wxaZWRnmLQ4HblXlHlWeIG00mNS6+dLVZD7rVcT7l5R0JSX/R0pOzWJZXZ74b9zTtpzMd2G2BxaQko8e/tVPfpLxPxP6q4DPWM5mWJmvJSx2UASbAO+FOTHFLguerPPx8Mh9sTlhSv6xIpnOhmpnmwLvq7JYNatQth3WF41p1Wx5I8z4sT+2EmP0jLKFPiWJvAOERYnSAqIJnoOwhXJ2CMfWkV7Zri3pFVSjOr+WBbTBymRZlHaCqMwmYHWgGdYvzODL6pXzorxF11zO1uyMrcI6FphEKmOecST4roHqEMcWpFegLQ15XRPbF0Bb2uXyKSj5PG3XYuNCkz0GvrRJRjoircP13+cV+oX7XEn2V2DkI1mHqo1fz7DfQGCuKo+q8kiR6eSrm+szJm2BrUq5aPtN3wPz6h9ASr4ra/N9I6L2YnMeS7A68HmWfqoV1sc8hk0jyUekyEZKWzcs7Lcr6bEjWoW0E7n77njdTBKVyRfhe/LcUuz5R+PJitjv+wC/U+UWVSZmSTc5RinpdtYp9j1Kd20VJaWAhHabjaZYfb8SW9HUFqey+rOa3Ar7ajLlz1rhnrZMpmMu2Gi7PXYs2SneQu0nVo/GJjLOCd8HAc+KyCaJ8/6PzJehxtkBi1HOuRqS2CTge/lhXy4aCXvRYNQoCI6Wp0xPR/W59UalrsEGjQXAnR9/O7gzJmysUuV70oLcSOAn2MD4EPBYsyarVpC5THJX7B1og5lJG6ATlfoB1ikVQ/I+O2GWy826M6MFtbcEJtPJV371X7aACMdgnfnZIXa+DBvQy1nLKkwpLhQuko10fk1o6YYNHhVYR1/bMlpOepW/+Pf811w/lpOeK7YC6JDwGiavWZel/lcQJnCHRRjaAXNJyeuk5IH4icEr9y62CMc52DM6FziJhbSBauvzr2jHIMxz9C/Sg9OVmCAa7X9EetDqiCl80cWGY/2WHavUpzBlJyrb6NxSLL6/J/ZM+2Ivj64W4rAwxV9kue+OiXT+hilLUf4+jn0/BFtyP8pvroUUsqX7Etbm+4XP35NW2n4PHNWZ79uRWRejlTkjVmL19vY2zZesIfNZL8Oe4bVh/2XMWvs50EKE1iJsG5azX4b1RZH3vQcmDLQT1i0n8xUfy8J9LixvN7sFmXW+P9YXVmHvNYqUyntylEsmIr1DGGoNr3URJNthGXbvkTEhemFxocn31W0nhFK3EMkZabCcurUzJccrR0K7a0w6fG0J9qw/JW2gXJPtv1mI5oJFlGHjeRkmfC8N6e+K1b+bMe9cZ6xOvk+6zlcC57OYdqRfuJ3tHaXxOr8Wa68TgbeYRXusH7iDZD+whLbYsy8P+Ug/S1uRMVIAHmQRTUIe34ilcxzpEOlSbOn7Hr34Rqn5WoI43bH+oHNswZWIQ7AQ02v+/ebRb5L5Co3BoQwWsoJBWNtYgoVvFkNyfCjDPDeHtGdhMXWr2HG7rq+CidfdqE/4HmjcuNHalWSWdXTufa2bL11DZvuM/pvV+CpCGxG2FKE99qyPxbxDkaftZNLvBf0RFlkQPfurMUNNsu+O7vtfWS4ZjS1PYP1Ftr77GUxm2BTrvx8kHR2SazGzbOlcDwwL38swWS/K6+HA7xqxrhSLDMolkyzGyvrJsN8NW5ykXTNWVo/jWVgajr1BETJmvShtwZP0gIjMDZ6kr0TklnCsiYiMFZFZIrJaRBaKyGOSfhkfIrKriHwsIstE5B4R+XfwFF0XO+fg4KFaLCJfi8hfxQaXXHn6XfAIZtsqs/1HVb9U1bOjjXRBjlfV12Jp/wJ7KH+sRdm0weYgAByqqidi77BpRvqFrIjI5thkxmR8b5S3PVV1H/KvkHURFnv710L5qkcWEZYyDZV6MdAzquAJT0fy3PqievWiLXt9NBvYToTmIfRlHmY1/g3WmBdi3rObdt/8lbaEhS/Cyyi7YvMCKviO1tgSrnV5h1jyPqtDDnbj1aXATiI0Eimo9CfTyVd+G6psfwFcosrFqnyKdWwdgBIWs5bEi4CLYBHQSwT5lh49sc70NqwDfhK4WISzRditQDqLY3lYBpSHhQWyWXTrq4zi1wQbKMqjNBPC5CKs/hV7zXeBZiI8iFk/Z5F+P1LyGj/GvHLHhpVQSzELXmM+RMN/bwTaMi9jAIkWCojoTFoZbUcVSzLu014W+k/MS7YoUQbJ/Xi6yd/fxkIjX81y3/nS6Up6QE7mPZrf1i8sEJF8/sl042FA/TDFdhvSShsAu/FqCdBHhNKwdPcrwAkiHCTC8Hi6XdrPWkH6WTfC6kkfTDhvHK7xGnDFva+NODCkNRibyB6dGykIPbB3MpZtwtdV4Vj0XrZZhHkoXdrNWoX1tyXhmltgnsxzw/fFUZ4KItILU0jOxoyUuwcPbjHzeYmXyYNyeHOsTvUGSlnB31Q5tmpdydVES37nTyfedpYB3fOMLfGyry2TgSEidBIhY95hMEJ+DewsQtny1S2WAb2o1EfD9b7HFNBIwatG7CXST4twTVhwaj6RByn9wvjGmLC8Jyb07Yx51OP1uheZi/Ckj62mPSbDpeuyyN6IjAne44Wk6/wqoFdYXREWZhgBMtN9gXmYh3Ensi+pn65TMzJWVszWJqv3NzPHV0Uon2zPqDtwGtD2QB7fWoRHRPiTCD8mes0BTL73tGMOBCpi7XwrTPA+M3xfRt3eSbiQzPrWGTOWtNiPZwQoE+FAkQIrLFo6OcftehofwLw5B4rQ8ZH3DlmF9SXvA583bbx6Cem6WRLPQ3m72cvJbCsLwrm3h9/KRDhChENE2BJ4Dusjh4Qy6UH6pePdsOkMrajZb8f72HLSoegdWVejP44MRsl6C8WNLfcCN4lwowjbJcorXzpRGHr0e7IezwW2CP1hsu7OxQxkY8N+N6wPbdOfSUKOPiLkZ9OwCEmtX4FVX56232Ba6WRMc55I+oWHJdhg+ywmlE3FYsFvAxCR9pj3YxD2foPO2HyWakRkX8xq0gebmDgdW/zgpjx5OgGL+c227VPohsQ61mj+SFx53AQTov5K9F6i/KwmbWEbIubKj1b72Sqk2QSrbB9SC0UwR363x943dg41F9zYkEwFdhNbhnePaB8TJKsraviMzi2DGg1qfZgC7A7IKXvd+nUJVWOFddMwweVd7DlGL9Ndgnk9S4YPen5GyE937D0a3TCL3Xwm0xLrZAaSwxKbh+g+m2Ke0+rO6woumYt1Dp+RtsDnS2fHsCjAj2Pp9iJdh+Ln7ho66H2LzG8+7gUuF+GyDrJgMPHO7FsWEMq9DulG9WTnJbTZEguLORdotnDvdk+fsc8N43+6/UOHjTrpxEIhVFOwMinHBq3vMCF4vyznRuU3gNoKsvmv2TpcawpmId8PagiTU7Dn0j3kr1aoUsVxLbbngKGHUdn1dKzf+zM2ty1b2Gc7qB7408YApYybOYob6c4TXMDbGe8xjCyKET2Js4DZZD7f/8OUjl14mhXA1qSkbTg+NXFuPN14WZcCFy9Z0XqrpStbHbdyTbNxiVvPl078PTeNyRTMIivuSdiLzpMGvXzp9sEs0WtIKG1lzG2HeQo+xKy7L2EK8AmYIFzd9+zS//VowYJ+WF34AhtrohDFBzHBqMWTEw7oCUxU5S5s/JuMCe8SfGPVz+InPLIMUxyaYR7RcSEPh/XpPG0l5mXaLlxzc8woeGr4Xp0/CnMs5rU8+nAeeAuq33lW7JgUtbNNX2TPH8V+b1Q5cnSbkmO0eZOfr5kpI3R8gXSittMy3ENGO8txzc4UXhSkGlXmYOU/nSiyJiVbhM8yzJD6PDBp5oKuk4FhpKQVVp4vA+eJ8BtqRsgcDHykyjmqPIiFdp0gwg778+S2ZIZF9aUHZ3ArJ1KSUMIy20474nN8lVLi9XoVJcBV2HsLf0VmnV+NKTM7AMKSjFVlM/uB72l9/1tHnPLaF7sc/cIne76IRQjFSaf7fQ0jUDzvGemOYPR8rB4PJOlltdX6WmGha4un0vcX2LsJL1TlaUymORD4ww4Vby/Cwuf2wrx6W2Fy3Z7he7Kt15apwPahne1HrB9tzbJOrZot/WXzJituaNdyYSEP8bdY9MVmIZ0MeSDL+DBIhA5kr9f5uA5bIGrWkTfcvxhzBNwJVHRpN2sKsJcIzbE+o7of2H3zV+YBm4jQE+ufPsD6s95rqhoLJod/gRlVNsGME4+H8+LzxLpixoaPMbkqvvJzcmyJ990lLGYmNv7bMxLZC5Pnx7CUacCQEEJe1Niio+WF+04/+qvrjz1z26nX9UkqV7VNp3m4t/i9vI2V9Y3UDOt+H6t/O4S+uyumhK05hEeXYM++JbA/KTmflPyVlJyNGSC7htWMa21oqi+lLeqA3saUtiPB3keiqqswr9SHWKfxcTh3aFCMDiS96teeqrpv7JyISHn6ACuMyAP2i1zeNlXtHZbuz7YdV4t7OhCzCs0ExgCIhXHdja2CdnEt0oju/29h9yGscg8P+13C56XYpOxjVDU5Mb8goQzuBcaq6j+K/f968iVm5XqP9AtD/wLcIsImwDhG6WWYIj4FW+HpVYqM446sG0FQTjIZc3MfA1BF40nraNRWkTuwZ7d7OD6/6Th23mU85231DkPGvHnUGEyYmo4JA10xIfxEquiC1clHSBsgassUzGP3ASZ8tcI6uxubNVldOvaC4bf+dPuH5t5x8vFTapFOO2zA3wsr65HYBPFGkQVcbBWpKVh9/ZiaCl2d0dGyZu4tneZ/ctXAtgvO69gLK+uOwH/4iCVYvc3mMSnEFMwz/O+OzO8LjEX1GuCzdgctvvGGX5y14KGzDz/jxGF3FHo56iTs3SmvY4PWJKyNXpnjmmcCT9Qhv3G+wMJ13sfK4kusM78BahgqpgDHY8J+UZZU/dcKoesr6OiZgiltV2DWuSvDgIsIRwBPA6tEeANblrgMEwCOBMp4lX15iybcVz1f5s+YwhMNrNtig04PbJXBcuB1prAAaxf/YS1CCRUM5SV6cR8PMwgb/N7ABuQpmOHun6ytDn8sxwThHliYVTnQtGRE1eFtRy5Z2ubEpbe1OG5l9L67iC+xRQWihR1KMYPeeSGdcSGd98L+/5GeB/QmZqnP1gdOAUYA17KSEmws6oKFq/cE/ohqU9KrnO2Ghf2Ufvm3TR89Yejtk2449oxPdLSIKv9gpPxElVdDfq8ATm3ZbMU6TGB+EhOaP8HGkScBZIQubHPi4sWtjl/6yr/f/NnVwFwRrsMEz88xhfMmFtAM65NaAHedwY1rMe/2FKwfuBmrd3uEcpgM3I+NIx0o5QFu5RlAUL4Mz3tkljJJY2NxJdZvtX6g9Mihn1w18NlzDrj6o9cu3SX5jAoxGXsuzw3gs06kFxR66012+iVw7zot2QN7WW0+pmALwLxHerGLazFvL8FQQ1DUJmP9/ysUOz3ghMbHceAuzRlRNoyUnARcq3twHLCTjpZWb1y20zNvXrbjo5uWT51H+r18ZcCYEqlaBHpFo5K1SUv5oyVSNbhti8U3tmi64gjs+fwceGtzPu+J9R2dgRc5k6lcxYW0Yi/uYTRW//piXvUemNEgWt20O9af7El6ntxNwBGMYSsa8zndWUwjhrGcb7Hn/qdYed4HDGcF7cneD5w9g27dj7rx/mt3+/1rfx5+5QsPhSkIcb7ExvjjmU8brG8qx+SibsDPsP4nmjNUDtzxU/6jmPz2CTVXdewGTEB1W+DxS7l8fBNWDymVudeJsB9wPtaXXNak0drJofzGAifTmne5jGbcw+5U8Ea4z2sJ8kARfIWN1eMxRaczZgw5jtZ0X3pHm4tX3Nny7oW3dZhGSnIK2SGU92tsnDk75OdHmDzQQywcGhH2xhSildj4NaKo3I6UdxlR1oIjKpqsOb7Zp5hS8XNgafMmq97DlKiZmMd9Cva8T+zaftZqrH95HgtRfx4YCqQalVStA94Q1h0qrDsQeIK9DzqYIRetYv89otci7Yb19ZsAn6K6JVYHNgl56EW6Tm2JOXV6YG2zHHibr5mP1eExVMFKmo14mv3Gf8LAOSt/1bQfNla+idXPKViduoHVCGYsK8fG+e5Y/S/H2uaoo3cac/+Z+954YJ+yaTOCEZsQ2jkFU+ojj1gpZti6MKTzfEhnQsjvyaTDlR/EDDGnUnPu9DPY872MBZQAM1DtCNx5JjesxkIgp2PG9BFYqHpvTG7+DNObCkUUVVMbISKa5BfXLqNOMVrB5zqsME7DBv8qYIyI/BwTgl+ipibZHNPSI2vpF6rVq9pMDOlF9A6fe4ctInI9fpLMtIj8jtyxwu+oaqEB4+zw+U/V6nfs9MQUgI+w0JXI69BKRJ4ATlDVGotWqOr5IjIWqwBRef6ZtAVrBCaMXZ8I5b5BRC5X1RcK5HV7bC7D/JCP6J0xfUTkCVWt9VLPdSCKg47e6D4Bs6JVYZVyoiqXA4gwGDMUFFo1LIMwOD/CKK3EGnpy9ab3MYED1qHYEtUXA6fJCH3giB3uv3X/rZ/SKx+94KbVMzc7R06S6uXARbgX87wtIL16ZFn4PgFTMovlU+z+B5TxfRNgFarfIzKdo9hn+KAXVg0f9MKJwLbZQ7oNVRaL8BVWtmNDfhpjylln4B5G6WZYJzINMwgMyJ5abkQoYSSIUKpaY3na8zq1nn9kp9bzj2A6WwOzUV2AyCxeYRU/ZznWMScNLYWYgHVmbaYc1Pe9LvvMHklKRnIJ99GeY7BB9wTMO5pvQZ33sDoVWfnex+rIGlJSCQzQPTjbhDGdgPU7fcKNVyp8xCjZF9Vni8j7u+Gzf+xeDgMWi7AvcDyjdLdwPHpm/WqkUgw2l+RmOUmUUXoyMJNRWo4pH1WqHBnq9c4Ib2OCVQesLh+FKSdnAncB36D6HebhL8UU3V6Y1XVWqKuzeI657IACg2nMi9zDIEwA7Iu1+49JezUmYP3xQBbxKbAgpDMDq5MTwv6yEtYdWUXJ2aq8D0G5tfrXQkfzBSbEbBnSjPI3EOs/Z4Z0ZmNK11fhXktbNVt61/LVLc8EVquWdBThFtDTZBQ/1tFMwOrJQObzETAH1dkhf5uRjk5YTvodWs3ZgkM3LZ+60+0nj/wp1p+1InOlrw8wBaVNbP8ILITxtXBu+bp1Mg84a+nKNh1VqyMvzqrui1LVi4b04luaAtNRXYnIt335qjNWr4eEuvBV21Ol6+Ld6UClLmQEB2N92FJG8yEW0jyW0VyOja8jyf6+vjitDtiHLZ7qxRabL4CJ27D3wB6fNbm68rwLSRiBgjctoNgAAAUKSURBVMfg96CHyyj2UeW5RFrjMXmhbw+mdwC+Q3UOIjObs7IDweiqWnPl3wSRcXaL8DkB6+dXiXAgMJJR2g8T1j7AZIyixhYAvX2tpJ+DPIyF/w7B+tlTdur31mZY+TbFFMbfAC/paLlo3Tp5bdGKdv/u0GphGSlGYLJIdx1ND8zr/y6wnbzE/UzfB5b05o2Otz7M4zwZymQWvTgA6+/aY+2wDdaff4PJQd+FOv89Ni5NJXp9ho2FBwNwLC04lkZY2yzDPCaNQ/lF44cp7ytpD4zP1g98zOBhwAzVYGww4+BPQY+UUWwe2tJxQHsW0jqWvzlQbeyMXklQ3Q+EuUE3YIL9tyIcD/o3GcXJLzF07jBejl6oPPMo7m99FPd3xmTE56jUcSUnSad1e9CYSq1iBM2x9jiDW9gB64te4XLaYw6Do4uuB8oKET7H+qtoDuY0oB2bU4GFwT2IKZCdyf1yaEiPCd9hdaKK9Nj8IaM0mtdp+2YYLmpBL71Nrd7eO6daaOx7htw4dScGv/z50NWYcXEzzGP+ARbGGPUD72Nz/L+mUj/gT3ILndippI3+TUfL35aubPVI08ar92jaeE1/KjXdPkQ+wBTS6CXo34X0ZmGRJO+g+m3wnDbCjCn9sWc1q7rvfp7vg4S/JY2Y2YKVu2L95myWM1eRT7ExYB3xsWUBHwPzYmNLf+DdsL8KpS/COODuWQvLJwDDGaXHYo6Sp0O+t8TaZWRw/RoLKc82tkzGPHgtjr/ljjubNV61aNs+4zuL3Ho46AgZxa6q+hrnySi60p97uZd0HzSzjLmdw3UPAlZ3eZ3BB3XigyYCzy+ASTtyAWZgjkfAFHjwYXmoXBtmLVDg2rDfCOuUFfh1+K1Z9BkK5MNwfDdModOQTktMI9WwtcesIQpMil3zg/DbdWH/ybB/ZiJvffPke1rsOsntzgL3PDictwIoi/3eO0+aGo43wbT3zYGS8L+msTQaYZ4SBS6vRV6PS+RtQvJ3rEHkzFehZ1zMVuD+ffPNN998880333zzzbdabrWVwWvjabsNWynmbBHZBbPeVmCTUe8L5/xWRA7GrB2rSXvGFmGeCzBN9kbMDRvnCWziYT8ReR4LV0u+dPMmzF19lYjshClTW2Kerj7ZMq2qvbP9XksiL9to1fSbylV1GrE4aREZhnkRF6lq+/Bbb6hearQDdm9XiMgQzAL1I8x69i0WslcjryKi4es2qjoh/PZbTBGMYoNHhuuPUtVxiXwdh7lwPlTV6tcGOI7jOI7jOI7z30dBpU1VHxWRY7CFPzbHQlfGAheqauQejmKAo3fGfANcrKofiUikqOyDhRb+kdgS4aq6UEQOwsIOdsLCDh8Laa0K5zwlIodiy6/uj2mmkwhKT30iItGSuhBbgGQ9+QybX7IbFu51H3C+qs4vIo39yFR4dwnbOCwM5wdBNevLVB3HcRzHcRzH2UBIehrZRsyESDtVXRS+l2BzgjYHRqrq7Xn/7DiO4ziO4ziO8z9MQ1HaHsDCIidi3qQ9sQmOA1V14cbMm+M4juM4juM4zsakvpb8X1/GYyuDXYStBjMGGOoKm+M4juM4juM4/7/TIDxtjuM4juM4juM4TnYaiqfNcRzHcRzHcRzHyYIrbY7jOI7jOI7jOA0YV9ocx3Ecx3Ecx3EaMK60OY7jOI7jOI7jNGBcaXMcx3Ecx3Ecx2nAuNLmOI7jOI7jOI7TgPl/g86ciTssXzQAAAAASUVORK5CYII=\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "score_pred = 74.30662\n" ] }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "score_pred = 76.560616\n" ] }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "score_pred = 74.61046\n" ] }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "score_pred = 73.12733\n" ] }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "score_pred = 71.5648\n" ] }, { "data": { "image/png": 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tIlGh9QNmh3ztBLwKTAMOB5oAW4XjS4F1wF+BZsB3gGtV9c8p9z0amFCgaMao6ssFyi2utPVT1VkF0nIcx3Ecx3Ecp4HTYMMjVXUdcAKm8GwJnI2FS84Qke3COVOBk4GPMc/Z5PD33VOS/DFwKLAeU5yuUNVjsJBLCdeI8w9VPQzztH0NlAF7pKS7DaawLQfeDZ/TgebAcZhXsARTpB4FLlPV4cBf8tz3y6oqBbaX8xRZg0GE1iK0ST2YkWZkpG8d0y0TofkmZC1Kp5MI7WP7/UWQPOd2E6HVpl7zWyEjbclIeihxRkrISHlsvxMZKa2Ha7YiI702OZ3q6ZaSkY6bId22ZKSk3tP9lhGhRISyzZR2alshI43J1G2+sQhdRWi9SRmzdNqI0CW230ckPaIkKQf+35CRvmSkaZ5juXIgI+X10j4y0ouMtNjkdKqn25+MNNhxTEEyUkZGiu5bRGgkQr/6yEK87xOheT6ZIYKI0L8+rvl/QSijJv+nF82IkJE6XVOEviKbPh4XoVVc3onQbVPTbBBset+yyWM4EdqK0Dm231eEVNkY+pZ2m3rNNBpseCSAqj4oIo9hitMuwElAV+AS4AAROQrIpPy1c8pvH6vqehFZiYVSfhp+Xx4+kw/145CHdSIyE+gC9ExJt2/4bAOclThWrqorROQ04DLgcQARmQP8EHg5mVhdwyMbCqEDeBRoJ8L2qlQlTrkGOIOM7CITeD36Ue9QkZMkv9t3nLYH/o2Fv/64YB4Kp1MCPA2ICKOAEZjifg7w+8S9NAf+iYXH7l8w3Rh6h6YPausDkauBxqieG/ZnAkeh+iYiewO/RnU7MiJY6PCOZGQkFfpFIqWfAdeTkUOBx4DngS5kZARH0xF4E+iF6mpEzgcGoXpCLXL4J+BgMrINR/MJMAfYB9X3ETkIOA/VnULeM8CbqN5UMEXrCCcAbUL+yjAveR9UNyByDNAB1T+EdN8HzkR1Yg3pdsTkwIvAkaHT3EqVd2txn3XDBsBPAR9QoeeFa+4DPK3Khnq80jnAFSKMVGUaGbkRWEqFXkZGBgMTgTNkAg/F/1RT3RXhWmBXEXZKye/PgavJyEEygUfjadbQJpuF/MwG9kJkG+BqVL9X7fqxdJLphryPB0aIMBTrByYDfwAuTNxHI+Jy4ERJyqlUNmvb3hRMDhyJ6ltBDlyO6qhw7B5gMqrXBYPZFOAZ4JCcNDLSmKwcGA4MwOZI3wacjsgFwMCNckDkPeB8VJ8rmLeMdMGmDLxPRsZwNAcBP0d155BOBngD1d8j0gGYCoxEdV4N6W4P/Av4H+BcRH4KdEb10pTy2Qa4CNVDC6Zp6fbHxhgXUlFDHupKRjpgRt5ZZOS7MoH1tflbqH8/BO4WYWdVXg/P9ylUH4yfW6jN6R0a9X9vAicCdwLXAj8SYZAqXyf+sh/wmAj7cqI8WTDd6m3y2+AOYAsRdtDx0hwbe91JhY7flERFGAEsVCWtXtwG7E1GtpEJ2fIrJP/Cc+iLjTevBi4veP3CcrQ5VqdeBU4UYU/geRHGqvJs4j5KgIeAe1V5tGD+inmeZvC5DbicCv2w4LkJRDgZGKnKT1MOnw/8hozsJxN4Il/+qmFl8homU/ZFpD9wKKrXVbt+gb6FcdoIuB8YJMIwbF2NKcANmKyI30cJ8BywRoSd6rtvabAWKhFpIiI7q+pqVX1WVX8JXBUOR16cH4TP2zHvWbSfdvPJAUZNA6ShUT5go4VpTsp5s8LnXKB55BEDWpJVvv6sqmVYqOVZmPJ3STKhQM9wTr4tTXFsSIzCPJLbYvebJSPtsTIpAQ4qMt0fYwr72E3M3xhgu5C/UmygWQLsnXLuYdiz39RrFofIeYiMzHO0T9hApCkWots1HOuBhQeDheCOxQwUe+akYIpDNIg9LJy3NeZN3gEzUJRi8zMBepM1TuQnI/2wcOMWmCLSKuQpnr/y2D/6E6vPIuwmQoeUlA/AlOs+2HPrGvIaeUl23niPIgIMgVpZGM/A7vMHZKQNcArwbxEOrMV/68qRwF7AuWSkBxZN8DhwOgAZ6U3GIgnC/thiPZeh0zgfk4m7k5HdMNlxKRkZBFyJleHF1f57kmi0JfeD1fYcYHuSkQk24L8g7NU8MM7lQGAw8L2gTPUBRodnWWtCZ7o/1iYGYWXaivS2HZcDnVKObx4y0icozcUh0heRm/McKyQHCMeiOnQ21j4PTvGg7U2uHLgAGyMcHo4n5cBAarco2GlYW90Na2+F5EDncE6a4TXJRVhff0TYHxnyn8YAYJ9a1qmbgGOxdrK5OAGTs6Movk+/ALvvvcL+duSWZ235RfgcG7wCp2H9xQ55rgn/l31hRhqRkdHFeq+CF/J4rG0Pxer8GMx4U2dEKMUM7Y+l5LU/FvXVi+LHNmdhkVlpcqoYjsDkXtQeLgqfB6ScW4Et8ldQSawDv8Hkf1FlHfr9/wHOEGFQzkGLCjg/7B1CcRyCtY2obLck/9i7ECNDGgPC9lNMjqa1hz2x8deOUP/etobsaWsGvCoiH2OekEqskoFZAwHmh899sDlk+9Tj9Q8QkYexDqYL8BU2ry7JvzFr347A2yLyOjZg3A0TFvcA80Xk5ZBGNBhfknbREP5YJ+tUmI8XD3u5XkRWAOeq6sK6pJl+HRphjfMJ1ay3LLBLgb+OgnR3ci34bh3/V1M6hdKtr2sWyznAImzV1CSdyLbbjrHfos92iDRhPDsVSH8QuQPV5Lnx9L4Mn7UZ2BZKJ/rshIhgk2k3pivCDlj7epTqg/5kuqWxz0XhM/qtNdYGahPqOTr2PVqgCKwt/6PgP0X2AwajekNNFxFhG0w2XanjczrmpmQNOyPISDPM+zOEjOyMdQpPAzPIyOC4Nb4Gq9xgcp9XvNNuDUQerGJDeXYh236T7Xgo1DnUMNnOSrE63hYLj69rOg2rbZth4GWgKxnZkgqdJkJbYLkqSka2Bo7BrNTLEv82JVTkHFTXJo6ltbP2iDRGdT257beQXEgeS2vPlo5Ic0whrqtcSJUDKZ+F2DmxH5cDSUqxgXFLYGXeFO0ZRW10k5V5ERqlRJtA4edQKL0OmFEqTqH7LkS8DWxHnvFgCDMcVYf0q6dVnBfuDEyBvh04teCZGdkW8xSeDbpV/JKYIQfs2ZvhxMaSt1Ghq4vIfgVRH1ud0bHvxTpDcmWRyIHAAFT/p8h0dt2YghnuCsm4fcNn/YUsW3RP1HcX2xeMIRvt1jJxbATkmW5TM8ky6Ay0QaQZqms2IZ1vrW9psJ42YDW2uuMabMDzQ0zRuQJrnGBWggnYg9gGW8GxvrgFUxy3wlzO+6vqquRJqlqFWYpvwwYZx2LWvieBN8Jpz2Oa9wnA8HDs5/WY14gfA0fF9g8Nv23yXJEEx2KemjRrSjnwMBbKmmQg5lIuBxZGQjvtM7mF/5yH1YmCpKUT+70ce33ESdjAsx9mGUlTyMsx7+4laekWuEbdEWmE1ecuec6Id9D5PjtiZf0k1tkmQ28GYvM0+2EL5wzEwmOiwUpaurUZFAzEQhFGYEaWtHRKyHZ68XRPw+RRmhdiIHArWaNNMt3OZC3zyWM15ffnwI2n3nlrB8ziP2Pj0Yx0JSO98/x3V8xLWR2Lv/8hGekcOs8HgV9jq8sOwQw597z/+RZNMSPOv7GFj76HrYTbCJMTPwkpDqA4A1s55vnfAnsOw7BwjXuxcmmLyYXU1XALMAiThaenHBsIzMPq1MzatO3Y7+WYlTWypuZ9hoXSDek8TXaQVo4pQfen5DcuBwrKnkJtO8cTWXP49CGYp6oFMEyEkaHMfhu8Xg9hBpsLAEQ4QGSjgh3JgzQPVKRcpMmBaL80DKoGYoPPNGNDXA40wwyWY8jOv4631+Q1CzEQqzORZzeulCfTrV37tdDmjpgh4eGUdEDkGETKYsdqk98hWPu7Bms7dUaE7wDLRDgx/HA2IlGEw0DM03U2FNW3lId8DQbmhf6iU9p9paUVfQ9zfLpjyuMbId0PMOUtGYXUm6xMmlZT31dUX5iRHmTkgFA3478L2THStml/FeEkEUaFc+/C6uqvsLJ9FTilSclaMIPSDcA/Y9MGfoet6F0M22L9Zlpo5CCsHA8EqmqSf/HfsLI/HFuzAczgfzAp1DBGGghch03z6IkZBUcR79OyDMXK7M20fNaRyEt+DeagKIYh2FgkbapEOWY87gfMqkPfcg1Zr+Om9C2Pk30u5VjUzMPJdMKxOwj9d137lnw0WE+bmoXwnBrO+Yrqi478IXZ8Fgmvlaq2T+yPzpP8IlVNi60lhD/G9xdgg858+Tw837H6JJmvzcjh2CAzaREBG2DejnkqkouGlAOPUKEzyMhdtb1YmCcXKYOpHsoiKMeU++fD96WYwvbvPOdegK08+n9FB0yxyae0xa18pdiczNKU/XJgPBX6NhlJ5t8GtxU6i4z8HpvTdQ4V+hIZ6YQp5cl0m8Ys4xvJsZyOIQM8RIVOJiPzsE4uPX82t1Rix7bBVmtNG/iWA1dTof8M+ftuSrqtYt/jx9LJSEtsUDoOkCcm7bcV1iEPBsaG67yFeUVGUaEfJFLoSjYcLckVWL15DRt49AdoJBtaYx3r0cDcix+8cmTI63exwefOWAh2NP9gG2wg36fgvVRnAPCsKh+KMAebT3s88A42N2UqFXovGZmod+gxyT/LSaI5A7ywL+O4B5tDfCvV62c58GSoU8WGIUVtckrYL8W8IaWkDzgKpfMIZqzohj2fv5MbfZC85gvU3ftfHRsUHgh8TIV+mji6HbZIVaQsX4wpcGOwthJNtG8TFLq/ARtE6KDZ8u4CfBk8Ql2p0OkUkgMiCzCPaqTQNA3pPkv1tlYOnB3kwC7YQGkiWY9/Vg7Uvp01xQb9GcwA2yiRv0py5UBOuiGqo4MqixIpDwBmUqGvkZFPYv+1PsfyeAdm7H04HIsMSZ8XyPEg4DUq9AIysk3Be6uZqzC5dCAmZ3YAWoaFUwZg8y8XUJy3oxx4RZWpInyN9QerKd7TNgD4AosSmoIpMI+r8k7K4jzlwDuqTBEpejCeHwupfhYz8p0J/AGRc4DHGM8yrN7cQZB/IjQDWquySISDsfnTM7Ex4EhsbNA45Pd+YNw1R50/GKvzl2Ghi0Ox8G7I38fmYxCmZKdFLZUDf6ZCHwth77UieE5bYyGX0XiqG7UL708yACvHrzCD3SRV3hbJlaGx8dSBpER1xWV+2n4BBmHThS6k+sJ+NREZjH5H9X61HHgi9C23FJluOWZ0j9aBKAXWhs8vi0znEWxcW4aN09LGuNG5l2Kys97H5A3Z0+Y0XEZiFodrU451Baapsk6V5Yi0ReSHoRPtgk0IhQpNdsKFaIIJtNmqQWkTaYNI3zrkvQswXZW1mKV3hiq6Md30czdVUSw2f9+Qv0NpBEhs4DSN3AFPtF+orJPHkvvJdNthocg1rcBUUzrx/Y5Yh1saVrsaiMWJ/4Lq1JRuK2AlIo1TjuWjMzCPCl1GhS79cnHP3sBrYXGNZzDFqjfmcUibL2JKQXKOjA3aT8E6hm6EzhMY1rfzrPWYkJ9GhS57ctJ+HbHB0FosYmAY5nE6CQsJ74kZg44CtAirXFdCJ6XKN9hg5X0qtBKrP7bKboUWGrym0R34JLSX+Yi0RuQxRLpQ97YN2Xa2NISS1fYZ5ktHsef2lSqVNbTtNarFeVRq8KydjCmK74Rw1zjDsOiQo7Cy+i5m4PoQqycfYIaET8nOz96ADUS7YKHAXcIqjK8B08jI4RRuZ+0wQ0CHkMYsKnQtFbqYCk2G7WWfoZXfVCpUY8+zLVk5kPcZxcun+z9ZAyykQpdQoauo0JVUlwMz8uQdzPK+QGRjOFdEV7L1LRpENwdWYfPQO4b9aL5YbetUbyIDXoWmGfJqRVA2d8KebzQ47BG21thznUuFrksJhS1EF7Jtewn10FZCOsl0C12z1iTbSkKG7YopbOuAsiBLf4spt8PCfZ0CnBv6iOeBL0QYjHmLl2NtYwSmLHTFBtbdgU9VqTp77xtbAtOp0JVU6CdY5NQsLPKpWGPsAGxhshdSjnUnLF5HhRaj2HYBPldlbaxsu1G8QgnZsdfC6DuAKosT53XADDafq258JVZ90Bt4L8iMYqM4egH3ac2SAAAgAElEQVQfhXL4ApESREaEPr0++paobDtj8qY2c2bT0lFMrnyhyuo87SF6DqtVqRadt6m40ubUhc6YNfs+IFrqNrI4tCQ3fGBLLCyrO2ZRrMtqXC2ABYm5AceQsvpmLdOan/I9h2CNUlWK6VDrgy6Y8K8utEVaYu8jXIHFeBcarLXAQuTSSD6H5H42HetIhezcsRwSnXDymoXyVxqu2RQTcktU+Uo1tSNtQq51s1NIp1MIDwJTdDumXDMfLckN4WhHWFQoKG47YJbcHYFKRJoiskfoRMA61nlUj7Xvjwn1PtgAZCjwd1U+vv+MI98EvooNltsQrP6hbvcG3qFCFRuQfEGFLqJCZ1JRbR5TIbLP08LuVlOh0dywlhRnYYyTLLP+WCjiIOretqH6863rQLRWbbuWx2tFStjTqZhSvJTqHrw+wNtU6Ho5WudhbfwczDI9DPgbFToXq3dbY17aaLGJuFzYHxuoTseMHTW1s4VYX1/TM4ofzz23uhyo1TNqYa0zec18ciDnmAg9sHlNi7DyyZdXUuRAGZEyUP2aiPAdEY5KWWa9FbaK6abSH/OAnYGF7IHJjA4b815Rp5fkpsnqGRQ//y5Z/wu1h01p24XYDvO0dcTCrjtjxoLeWFt5JygAH2JTGHbBPPB9MKXrUCwqZDDwXJCRfw75jeRUS8yjGDEciwZ5j8Rq0bWgJfBlnjmK8WsWQ1q5dwMWIFLraS1h3uHKmJJQ6Jm1BOYEBaQ+aUnd205Lchf664MZs8rZtPon5M6LLsUUwLr0LXHZuNn7lny40pZAVY8NK0D+6tvOSwPmc1XWq7I+hDg8BlSSkQuwChu3LpTHPu1YRnbJWSGvZpJpRun1DhPiiyGeVlq6EU2wTv//mvxKm3XMi7FBTDR5fxq5k/enh8+orMeSkeTE9ejYtiEMqjFQFeYW9E2k2xILK4quWYgo3T3IyBYp+etAdoDRKaRZ1Zmv2xBTJFLmCQnQmIzsH+aYJT0JS0O5lKZcs1BeK8lIBzKyR9sWS9uTG3o7Elsi+g3MwjsEs7BGIWxtMUttMpRjGBZeNQ+bu9aRYKXebsA7TYCVZKQ5GRneodXiDolrtiLbcSU7sWJI1vGVYZ5dH6y8VpKRbmRkq7wp5E837pXqD1SFz+jZbxcWUakVwTgiiQFEfODeSIQLRfiLSN5w1Hj+atO2a3M8L3k9nvbOraHY6rm7AhsQKUMkWo0v/ny7YdbYymAZj5a6Jww+h2Ahrv/EjDSdgU/C5y6YR3YwNuiNyisuB6L9qJ2t4RvaYc+oa2hLyUFhY0DJyAHYwHlVWO3yAAbTFhswLyZN9pjhri8ZaRKfrzFzR0aEdDoG+dKB6nJgMaCIlCTS3Qmbc9MVeDEhE6L61o+M7Ec7OmByIFIqy4CPSFHaRBiCzT/KhOeECL3DCootgRXY+yajOXd1oQfwYegn5wWltzGwgW9oHfLeLpRJMQPIZL3thA0QG4f7GCzCfSI5c9trk06h9lD/bcUYhk2XWIGFgffC5GEvrK3Ela2dMWNGP0w56g1MVGUCJtMsBNAMYnE5Fcm/1th7vkrJesRq7WEPc5PXqeZ9NUPUn2wfVlGuLWll2xIz5tUk7wqlU9PzzL8YTxEk2mTUdlpjr/kohmSeotVv4+PGUWSk1gv4hGdWlehbOmNytnM4p2OQB7XJ32bvW2qDK21OXYhbLqLl4k/HBtfNsdCwiAFYuM+AcGwN9j6StDC4fDQL/4szELPq9BOhsQgniHCO1PwSxWax/EX5qe01a01S8ajlQgWQDUWxpe8zcj0ZWUpG7sc6nEVkFZSktTvyokRzO9Zg8yaOTlwjOnYeFuIaDSj+gS1CkLSEZ69pSuBcMjI7ZSn6KN3bsLCWZP4aY3M4onQXA0u25P1uxJSBnAm6YzbWpxaYcWDP8N/p5OYv7gGYSViEQYSDRHhYhENCPTlbhBtf+3Sn7iHdLYEXenT4qgyzjEfEB9EbyC6QMjgMLhUbLCXnHkTKHMGS3gqz/hPuYQ3mmfpoqz6TBpNbx1phHf+52MC8kowMIiO/ISOFwznsJcO/IyNHktsGW4ZrdMM8iVuF/eOh2sqvNZFs2/2wMM5+ZJ/9BWRfzVIbmlLdOBJ/vgdiHqfWIe+FiLfZmtpvXA7UFz2xUKz5wTu6BvMERO/CM095Ri4/b99rd4Scd2FZPbHn2I9cz6+Sa8wpB56nQqtCCF+ynUVW/3g7W8wCumBlsi3WlrLL9WdfUB3Jge3CuXsB/0DpQdZgFKX7BfbuxEbYQjefkV3ZOSKqF4NDuoOoLgcWYYP1Dol7GQw8p0qVKu8mFICoLu4LPE7VxvDRSDaWYd6bSGnrRDYM8ygshHUrYKEIZ2CD5LfIttE/AK+K0FeEd0X4TKSG1xtkpCQoYQe0arYiCimPiIxCXzOZsnCNvqFM8r3eJY1knxU93/Xh1Q8PYvUwdSGLAukUai+F+slNIa5sKaasvU1WaaskI2PIyPlYXXhelRVYHzc3hJWDyYalZGR4GNS3oLr825esQXMxGelCRopVinJXmhTZDZFHg0IeXfNRalrpMpfcshVphi0c9jXQTYQRIrwjwhthTl+hdNYW2I8TlUmdCH3qZSIkF+mK2s45ZOeQ5U+nuhEmnqdyrE0OJFtGF2OrlteWtHobGbZLxd7l+RnwgUiNKz7G06qpb8m3Ymy94EqbUxfiFXY34CYq9FZMGVtHbljQAGyhjwHhWF0Wv0n7Xzm2gMZArCGPDfmqKVY5nr9C+alrXoEaV4sqRBdsQCPcI9tgISDfxVZwizro5MCpdQjbq4odK+bekgImqbTFr3kzNtn5SKqvMpZMN6tAiUSdWjzvi4BFPZnTmeorXMbTTIaZ1aS0LQAai9AXUyAfwBTTc7B68v7kOcPbpKQbpw2wnIzcRUb2xgYN74bPzuF6X1NdaWuDWRsPICMPkttBrqewzI0UmF9gk+XXY16siynkOcwOmnfGJkDHyyx5zaoa8lCI9eSWWX/glfBZn227KRaKUoq98+hCVQ6i5nDoeFo15Sd5L/WBzfkyT9YRZKQdNiDvFF4a3Sh4Ai7t1emLrckdBEb15HasjTVTzZGzXTBPWxdssDuXjOxNRkZRXQ4oKe2Mr2lFvjKxfMWNShtyzl260WMXNxjZ/JL1jAn5akP2tRkRuc/hy40Dnnj+kjItkj1tyR9ylisX1lVLpwwzKERKW2OsvZZiyto9qrxPdhGOHbCQ+ypyFw+4DKt3xyZ+R2xm8dEiXBcGgNFL3I/dffhLI8m1tpdhdXouM3Je21IsaTJ2EbD4ZG7fClN89wR+VGQ6m60vLEAkK28gIxdi3rM3w2ckC8dgq8q2I1sXWpPrlYkG1D/DvHGF5F9LrN3dBYwvaFA17/E+ZOT0J8/bJ+1dmftjK/4OpO7yJFm2XbF6GvUtN2L915UUXtQi2U8Wyk9N/VBeRDgUW9hjDtAvMbYpqm9J/HdD4r/lWGRLOfXbtzTBjCmlmKPhJszAO6uItGrKT1WIINks1FjAIjJLRFREDor9dmP47Z7NlbFvAxEZHe4rbTs2nLOliLwoIsvD77Nqke6xedLcNnZOCxG5TkRmi8haEflKRKpZFUTkqNj/b4z93lFE7gn/WxPSuUmk2mT4+iC+GlsXYCYZORmziK8id0WdAdgiCwNix4qdpJqbpnk6WpGNed4bG9j9UbXGxhdPK5nXOGtIX3Vuc9MFm4OylJXsjFliIyFRGvIVrX5UirXhKKwovhJbobJehVmL3gv70YAtWiWuA9mV1kqxTm49nSjDOr2nSA/dSF6zNOSnacjfitjvpZigXjWMKc1Dfqpjg0nBOprJ4ddWoRxKMQVqGTYHLFpyGGBde77ZHXhMlYdU+Rs2mLlClbtP2eNPH4W8LgTmNW28djW5dUFCmfwImwcxGFugZHC49wVYx5osh+h/AzGFew3Z96FVhmusAOa2aLJqTeKa0XMh3G9t2+7W4TrbY3Pw0ur4WsxCHV1zJsV7muL5A/OwTcSUtmSdqhXVLJImr5RsHS8j1MuEEpMvf7Vp27U5XheaYW11JDbQ6oXVnWfD57owx5DmTVbnKkW59SSNpth80S5kB7TXYQufdCJXDsRXZo3a2Wq+Jmpnc8n18kXE5cC6cO5MYDlr6BTyuC6WLsAqKtkWkwl9sToRJ6oXi4A5zKAd1eXA+nBetB+tHhmVZxpRutOBlWzYeN9ROj2xgViLMBd4LdlVFjuSnZ/SGZsL9KYqb8fSjebmbAPcrMpE1WoK5JHYokFPt2ha2RpbHON7wGFPT9p7CrnPtwdW7vP4kvbhGkupebCYdt/xelsa7m15JS2HYos5bFBNeIVqTidnP6HMbI62AlbXBJNZW2PtZQrW/yRlTdwznlSwVpPbV8f/G+V9AVavctpZ0qCauO+fYgqjjBk2YSTVy2AX7LUhu8SuOZniSJZtXGnritW/m1R5vIZnmiyvQs9sU57n3sANqtypysTEsah/m0OKEVaE9iKcFlb+TBL9N2IgWaUturdix425ypUZjiODUWcslP1JVVaktO0kefuWlGiqzTp2dE9bLnMwzTva7owdi9y9vTELSFGDk8DzifTnA4i51x/BrJTrsMm0r5FYtU5EemLvj0vzSvwP9u6lDdhcmtaYR+SilHM3lfjiC2sxIdgLs4qvIvt+ILBOvA3Zxtcx5K8YVgGdYtaLnljDiN5HtoJsOFxNdXoVWa9F/HsOISSppIaQhM1BF8y6NoCltMU6qOFk37F1CmYhigY4L2D1sT82DyYKoyxU1slja7Bn9BfWE63yOSl2jSOAi6miNOSnFXA91V+4mky3FPPEdMXqR7QoTZTub4D9BzCjJekvLI2IOvcHqKQkpPd2LJ3jMW9UtP840Lcnc5JzdjaQ7bAtrxX6EfBm05K1q8l9IeiKcJ9Phv240tYNC/Pah+qetuXhf//EBmUryL4nMbrmTOCZ5k1Xr0lccyX2HC7G5EAbzJv8YrJAEp2ETdq35/+jJiVr15Kt16sxj8VCrG6sDXm4n+Jfn5Fs2/2xZxEpbZ0ovm2DWSYjmdIJa98vkB3Q19bKWmPbjlnU87b9TWA59qy/AGaxgMaYkeNtTJGrxJ7F+e1aLl1D9j1lkF1cKFocYY1I6PhFWmHl/DDWNpeH/z4Vzo3kQHdM3g4lKwdKMcv4oSyiJdCJCn0XW6kyyRqs7o4nW09eBGYHT5bJgWy6DwODWL4xJH0LzLMdZ1W45lTgdebSnupy4ErMaxHtf0hWecv3Ut2oLT0DzEMpxbxh55NV9g/Hwq7KMYXyOXINWmCDq7gxoBJTGqIXGzcmv+K4E+axe6ny7lYfhTJrBiy58MCrRpEr03pgisn2LKJjyPsszKBZDMl6Wwr8ERhTxpdtqFtbqbafUGY2R1uBbHuJ3nXVK+wrK1mP1fErw3nRuZBtKxErw7nXpNzLKqADFfoSNsexMvw3WU+Bavd9ABbuPbdF09ULgCZhFUvCIiF9MEPYrmRl4x1FlkGybLthitqRFLfs/xqgXZjHFaXbMc+5UR2vC6sIZZ/iTYrK+i7IXcAtnPsU2dcupKUbz1M5bFxVuk7jxjCGaySy8ZUapVhf9Wr4Ho0rakPeviUlmmpztRegnpQ2EekgIg+JyEIRWS0in4nI7eFYExF5XkTmBQ/SEhF5TCQ7H0ZEdhaRD0VkpYjcJyL3p3iSDhCRt0RkmYh8LiI3iFnQ8uXp0uARTNsq0v6jqtNV9WfRBrwfDr2rqq+Fcx5X1eFkhXoxZOLpq2o00XZ3LGzrE2C4qp6kqkeo6pGx+xFMmfsKe89OkmiBhGtU9RTM/Q/WWdU3fcMCAY0wi+QOWFgP2EC1D8AHskXUCd8Z8re0jvmJrGMdYsvDD8QGI+XYizP/KsKLUOOk0qVA7yBElmNKOBuFcS7LgV55jm0SBea3dSF6Ae+7zMU6jskhL3FB0Cmx3zdxbEnObyK7IrIIkcOo/hyy+wtoQVYu5F5jCa3JenTSBhu51yycv43HhvBJM7J1Ki2kY2Od4qucOYudyFr8IbsQCQCnctt04EARjhThcGwez1UiXLTfdY/3BXqHJfpp2awyWpUsUvyXYgPg54MvaDA2gIiUtgGYhTXZsS4D+oYFTJaFrR/AlDlDV2DzAlsAtG2xrDIql3DN6NyVWDn3p0LXkTJoTHQSUefTF7i6ZdPKFUT1+mgtITunDazD7ptMr5ZsfA7byjuNQ15vB3qwjpWbkO4SrE02Xkfj5POcCewiQolIzrPOl79onsUKrO02ytN+o2tKPbbvbzB5NBWYzLP0I/tS4hEhf/2BNT06fLUKKA/Xjz/7aPXU5WTfz9cF86L1J+uJH4IpIZDbBuKertz2O49mQF/iLzIWOSvMyykht/2uJv48N+QMAHPTncZ8zAL/ONUXOFgK9AwLVhEWQ0lPx+4jGri1bs6qbwgDvLA6XpxcWVNVTQ6UYUbMDuQOEkuxgXb0DrYVQA8RSsNCJMvIrceTgUNE6C5CVxEuEuFcESqw+Vg7idBMjtYO4b8jgdu7tP16JcHoGmRaDywsc1sWB7mVyT9+KcASsnIqir4AYB+eWgNsLUKrWizas4Tcvm8p+fvC5DXriyWYHH0t7PfCwht7MYcmQL8wL1SxOh/NK64EuorQPPTjkayOVi7eKKcWrei4gtznGe1/Qs2sxJSFvsBxYb9neJ47Yp7pfTHlPdtHFUdSDnXDjFYjwvd3gdNFGCuS3zsWFJRVQPfY89z4zHKMfMe2nAuUidAkT39biHuAi0S4DzOKxEm2nTgdgZ6qXKTKb1OObxyD/EF+2hSTdfcBfVjP8gLp1sRSsmO4+NSZzphX9wAR2olsDKPOx8Y2gNWhQn3H0hqObxL15Wn7OXAYFot+NzZhOprY1wizAD6LWSFmYla1OwBEpD0m7EdgE4G7kKgMIvJ9LEysHzaBeA42P+WPBfJ0PHBWnm2vAv+LrimYpwrM81Ef3CQiq0TkExE5K/b7HuFzBfC+iKwQkZdFJP6Cwp9hc1aOJjkhNqSNDe7ODwrz8Zgb+OZ6ynucpdhctoOw5/ITzLIL1pHtLMJWn9NnFCYcLwPWspy5mFWqqHjfIJBmYoPksVhn+CxmBSvX8bJgzh/KFky+dlgbHS/JF4MmidLZPtxHXxF6YoOOfOeOLSa/ACK2+mMYCBgZ6Z4zYLLjnUU4WWz56cHEV418hCVU8RTKe5iVMDkwie/3SRybSW5ZX4q94PUSNvBZ4lj23Hk5SlEr4kqJWbPPrFK5p6pKvk/199xk06namI98+dt4bDCfRq8y+C6mpCbJpjs/x8LagVxBnJPu6dyybu8tn/rNsLLJ5xy87SN9OUFuYcyR27Pd+Vc+OfLoF7D2si0gA7tN+wIbgJVg8mEKcAjQmDm0JruMf3tyB8bdwmT5X5CRM7B5NTuH+UyNMJk4RoRWw8+fMgrzwuwCyLb93/kS2C50xt/HvPm7w0aDQlsyMpKa28tMzHDyPDC9ZbPKWZii0wQLCY3XhfnAqPCKjmLj7qO2XTaUj8dgHdkNwOd8znLq0LZj+d8F2EuR5PPMYO82m0Z2oF0wHRH6Y/VibfhPoba9PVR7mXBd+QLz3BwBtOMzyrEB2CFY/zYNC5+T7cvfXIrVqUimT8WeVVR+nwJ7iLDNVAbG204XLIzvLGywCLntLL44QK6MmEYJZiUfBghv0hbz3M/DLPvxerIAGBZWNhSqqilX2XTvZnY4fxlJ722FLg+/7QgIy3LKOinDehEbk+zAG9OBI0T4MfaS7DgzgS3JSPuQ32T+umPe5wXkRqyUYn3H5SI8gS0d/wD2braJWB2P1+PfYkv2z8Q8ZQepcj3wV+D2zm2+btGh1eJ/b9Hr/e2xdyreDRy406B/vgoMFmELLMS6BzZumc1auhGTAxTHTExONcL6pY3ltxuvNMY8qJ9g7aamdIYGQ8hYsm2nLVYnk+eOCp7fovvCAkQyNvKE9MYUsg1MYjWwS0xO/Rs4RYRjsHo/A2vXB5JtO5ECEsmpfntf83RToE9YOVfCsT3C943eIrEFP5LP4n+wMeZhmEEmqhtjge505JeM51yaMYnVfEHd5N88zDs7ItxPN2x8twLo1rjRurObNV59crMmq6/tUzqrpoXMZmDPbmz4vl2IFBqbM8f+7sqofe9Asc/zRHmHo8p6s+9ux3Bc0wdSrr9DeD9lmheuZVC07TnZytWQkR2wOrazCL1n03t3zLByPjCTOfXSt0QLrEVEHurTsHFy2pzFaumIMBDz6gpmhEkrv+iaO5P1Dtcb9aW0RVawNzGhdQRhpS9VXYOtZPQ+ZqmI5s3sFhSj/bBOcyawu6p+P3ZORKQ8vYc1nsgD9uN83jZV7RuW7k/bjq3FPe2HCfu5mFDfFKqwEJkHgadDujeKyMnheFSZtsUU3rcwpehJEWklIiOwFdkuVc370sK3sNXgemLzHDpg3pBiXyBZGz4CngCuoEI/wCr+15jnawa2KuGjfZnVF3gJ1V8Dk5hGJTYovzM11cLMAG7FBokDgftRvQZohnJrWcevThtW9vFuWEdQUzoXYs+iEnu+L2IdQhcRzhThVBEGhXOvJetFrBUibAc8xzj9CbATGblax/A3rB5vK8Ke4bwDgLOxAcf9WEcevcfnNyhd+CGTOYZGHM1ZWD05FOuoumDtqSu2SElPLLSqKzYwm4Ep+hfzGW1pw2wO4St68SGvothg5ZmQ5enAr4HTWERrbFDTFRsAlAEnYEKzVI7W0Y2PWT+h5IdVj8nR+nFK2R4HXMsKmoSy7YqtntcTC6nsTvZ9aqOAM0qoKsWe2xOYgk8QjoRBxQys/p/IYlpjRp6uWGddhg2K9gppRuGTd7A/Oz31i32Pm3ztiMsfOfvQWTpOhQEPoG9dI3rv0qgDfxAYs9/WT3yOdZgfAqOx9noZcB2fhvcSqvbBvBuDsDq/JY3phoU2347JsWjexWyyy47vgw3Ce4SyvgvY//BRD80Nz/pdTEZ+jBnArsasy1PD9UaThzDQ+ADzpn0MDOnYevFn2POdhCma07G6UYEpba0xeVGT5yrJdKwuTPgur9uiAarnAq/wAeuxFQefKDJNsOdwJXBXI6sLd2PPokpvky9vOPqch4/f7c7PPrpm+IqCqVg6p2Bl1ijk9wHMMjxchIcZp78VYTdy5UD9YCvgTcTa8s4sZiBm0GoDDEKZgoUEX9KkZL1i/dhELNz5I2wAELXJ9zBj4QutWNkFCye09/98wcvY8/0Vq1iPKfhdsbDGnpgBrxs2uCjFBg8nh3lfn2GGtu/yMAdRwqt04AuE41BmAFdgq9+twOTjK8DgoLRtlANY2GdX4OZZ6/uUNTp6w/ItL5iUaXncyltSSmY6JqP2opJ22Fy8uBzYDps/VIbVy67AK+M4cQ7Wnu7BwuNbAIjw/SN+/8A8LNz5NaBvMChFcqALsBbV7bC+pg9msOoGlAxtM+VvpW0W/Ktls5VD9xzx/FyObX4yu/64N/vuuiWmWA8L942Ol50q727xz69v7fzXtX9usqgXs/98iDzyYBlzTtTxcvjXt3XtvPhPna57/+qtqmQCz8kE+soEBm590XuvhLTexxSTHtiqlQeH7zMwOZBmpCrEDLLzPLcN5TcUuAih9JPrB//t+N3unPHnU39UkydpIdZ/vBrKbQY25nkDaCvC7xind4lwFTaGaIvVyRoN3kXwdkhvQgjLb4xqK+C60Ed1DNdug7XprTHvSxNMZj6IjQk+wmTytJDuDKwOP/f2zFFrsOikZ8P/P8WUtugF2eMYp7dgba+TCLcyTq8X4QSZwMutJtKn9+vsIBM4E5PHNwJ3Mp6P+ANnAqO4i4k052PsnXyXFVMAYU7vTMwZcS5WR3+MeWy7rbuv6S9X/7nFy6vvafGPWTf1q0mxmBHyd3NIs3Uop71jymn/4P2ZhrXJK4rK7x0qmvlS6P4KetdaISO2NL8ZLL/GQoLfwaKi2onwIxFODb/fHo49T0YOBn6jY9gDe87TsHHrS6N4qy/wBqrXAq/zPlWYQffvxeQ1VibXYB7cUsxZ1BUo0ftk4ILbSl974/Lt/6rja/R6z8Bk+TNklf+HgfODZ/tkxulZIozE5N0l1Gw4qRO1UdqiFZDiE+uieT7RMt03Yo3iJ5jitgS4V0Qaicgu2GDiBmwwH61q1BwTBJFb8lPVjS+bTA4G+4bP72EWxtPCvmBu1GrUJTwywc/C562qRb3YNo37VHVUCHs8BOu0wAbgYFYPgCmqehAmyJZhZROtINgUU3SfIOuZO0BEouW1H8IUvQuxDvUWzEJ06ybmPY3HwjVs9cAKvVMmcDAVOgEbKLYE+kwZPvRTrkDIyHGcznNs2Dg3Z0QdrjkJ6+jbczrPcSvbk5ETOIMLMaVnJqak1rTc7iRMmPWK7Q/CBvvXAItUuQ0TItG8rmLfObIXcL8qt6ryFCaMKoD2Nz1z5neAqxmnJcBTHNf0Qsbu9VvGHFnV5PBeK4ENqK7GLHBdgBMxYR4toT8jbPYCTtWvsU7JrLe2v55VfITVmUH0oym3sQWHMoGrmcNoXsXmCm0RK4M2QJ/wDqG5IZ2vsTL/DJhehZQCJymNjlDldFXWiWyMb+8Q0ikBhrKQ5sDXifzNRnUeJndKsU5wVvj+EibYS0Q4HriccToKE+iTMIWoVwjR/CqWv26hPKZhwnhZODaHfmyFLcHcjPTV1N7DZEubg7b9x5KQlyiUajwmx2TJsrb//jWXTBdhzAMc8Qwmtz4DprGerizlZ3zCjXxJf7KDzLZYaFUUJlmGGW+iZcg7dWm3YD02qIuu+XIov56Y3J0Y7q8ZCe+6CH9lnB4H7CpHawuu4nJe5zNe4qzJc0a8jXkRoxcSRy+u7Rby9zE2KCjWcvkeYZ7BjJb9F3MsM8nIMfyQqczkJUwebFE4iVQmYc+5q6ClwBxU5wPf0ILMOfv87nJYPLsAAAV1SURBVNY7Tz7xhuE9p9RkaZ6EDegGxPb7YcrOscCLqlwcJtAn5UCtCAORsxmnR4mwffL4w28dev3qtc3mz/2m2+Nsy3tcSivGM5aduYXVTMSeb0dM0boXewZLyK0n32ADgiZAqzYst4UzTC4s4EIW8ga38QUv8wC3kJUDX2Lt9YtQfhvIrsY4K3yfFMqnBdfRhHtZwc18yV+YiMTkQLb8hgIl6EaFbzpWl1ZH7ex2TtlJabTs/dlbHl25puVtInQSe8XG/iFMbxLmRWnHatqTlQMl5MqB7uE+vwbmD/jOzP43H3v6ncPKJr/00JmHfQi8yDg9FFj40JtHRF6l4WTlyYyQv+5kQ+W+Cs84KpNlU34/fPyC27pMXHlX60uev3Cv9nr3amHQvegTr0jIywqsHitwWYumq4/o3HbhwiayvtVs+ox+hENXzKHXrpj1/g+YoW2nlFWCI+PkQkxRmxe2HqFMepB/3lE+vgzpRW07GvB+zmi+M7j71P3vPPnEE360y31vk5G8iyGE6JVJWJitkF3kYSjWXn6gygmqXBiW2Z9O9Rec14gI2zFOTxDhMBGSA+PXwnWFGXxAdnGYOXxDV2ws2R1YocqnWD/6F8w4fTcmiyK5PRXrL7/B5FRTsh7WaNXfaDGLxVh9/IbwSpHgPd0G6KrKearcqXeorLxdZfbNG+csvYU9606YkvcgZpzbIlyzCTVPz0gjapPNMBk9H1hAM7pjBrsLMLlQ08rY72F9YKfwku1PyT6zDOP0JCx6plU4tzeb4gmy8N4XdAzDsDrZBHsOI7C28yesH7sDWKLKxRxTOhwzVGyPlV9vzND7bvj/gFcG7DKL61lNRk7mCt6jMQ+E9Orat3TCyqUz2THSMpSrStss+vn25W+9S81zQSdhdap/bL8/psdcArRR5fdYmUdytGcd8lszqlpwwyynCvwu7JdgBazAOeG3ZtEnVrDvh+O7YAqdhnRaYtZ1DVt7bJldBabGrvle+O3GsP9k2D8zkbf+BfI9K3ad5HZPDfc8Mpy3Cuic55yDwjmzUo4NCVtULuWJ41eF/z4d9n8Q9ieH/SgmOfKI/KrAvbwc/rMi7I8J+8eF/Q9resbFbgXy4ptvvvnmm2+++eabb77Vcqvt+Ls2k+TuwCZb/kxEdsIsDeWYVfCv4ZwLROQAzGW/lqxnbCnZF0zugFmldkuk/wRmLRkoIi+Q6wGI+CMWYnSNiERLWm+BadDJJYbBSqBv2u+1JPKyjVfVBfEDIjIEs3xEcwdKw6sPFqqFCkHWU7g1pnWPE5GOWDhAB7IhEePD598wK+EwEXkU09Lbhv9+oKrvYopblId7MBf6TWHBFLDV6vYK13oBUyohO8nXcRzHcRzHcZz/QGpU2lT1HyJyDLbwxxAsTOd54CJVjUIQ3sWUqoMwd+Fs4Jeq+oGIzMS8a3th8fBXkl3ZEFVdIiL7Y2F8O2LzQx4Laa0J5zwlIgdjytI+mGY6FYvdr1dEpBQLZYP0BUiimOOIVmH/c6q/WDTiL5hr/1DMU/kBpnD9BUBV14vIWGzeyfewWPP7gXNVNd9Lh5Mci4X37Rm+z8dimy+s5f9rjWqtXhLtOI7jOI7jOE49INlpZN9iJkTaqerS8L0RNhdkCHCiqtZl0QrHcRzHcRzHcZz/ChqK0vYQFhb5MRY+uTs2gXi4qhb7AljHcRzHcRzHcZz/Gupryf9N5V1sWeKLsZX8HgB2c4XNcRzHcRzHcZz/7zQIT5vjOI7jOI7jOI6TTkPxtDmO4ziO4ziO4zgpuNLmOI7jOI7jOI7TgHGlzXEcx3Ecx3EcpwHjSpvzv+3XsQAAAADAIH/raewoiwAAgDFpAwAAGJM2AACAsQDBWgn+0SO6IAAAAABJRU5ErkJggg==\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "score_pred = 71.6491\n" ] }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "score_pred = 74.79465\n" ] }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "score_pred = 70.59472\n" ] }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "score_pred = 75.959015\n" ] }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "score_pred = 72.22918\n" ] }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "score_pred = 74.369865\n" ] }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "#Load GENESIS models and predict sample sequences\n", "\n", "model_prefix = \"genesis_dragonn_max_spi1_25000_updates_similarity_margin_02_earthmover_weight_01_target_700_fixed_trainmode\"\n", "batch_size = 64\n", "\n", "sequence_template = sequence_templates[0]\n", "\n", "save_dir = os.path.join(os.getcwd(), 'saved_models')\n", "model_name = model_prefix + '_generator.h5'\n", "model_path = os.path.join(save_dir, model_name)\n", "\n", "generator = load_model(model_path, custom_objects={'st_sampled_softmax': st_sampled_softmax, 'st_hardmax_softmax': st_hardmax_softmax})\n", "\n", "n = batch_size\n", "\n", "sequence_class = np.array([0] * n).reshape(-1, 1)\n", "\n", "noise_1 = np.random.uniform(-1, 1, (n, 100))\n", "noise_2 = np.random.uniform(-1, 1, (n, 100))\n", "\n", "pred_outputs = generator.predict([sequence_class, noise_1, noise_2], batch_size=batch_size)\n", "\n", "_, _, _, optimized_pwm, _, sampled_pwm, _, _, _ = pred_outputs\n", "\n", "#Make predictions using black box model\n", "\n", "score_pred = saved_predictor.predict(x=[np.expand_dims(sampled_pwm[:, 0, :, :, 0], axis=1)], batch_size=batch_size)\n", "\n", "for pwm_index in range(16) :\n", "\n", " print(\"score_pred = \" + str(score_pred[pwm_index, 0]))\n", " \n", " pwm = np.expand_dims(optimized_pwm[pwm_index, :, :, 0], axis=0)\n", " cut = np.zeros((1, 1000))\n", " sco = np.expand_dims(np.expand_dims(score_pred[pwm_index, 0], axis=0), axis=-1)\n", "\n", " plot_seqprop_logo(pwm, sco, cut, annotate_peaks='max', sequence_template=sequence_templates[0], figsize=(12, 1.25), width_ratios=[1, 8], logo_height=0.8, usage_unit='fraction', plot_start=400, plot_end=600)\n" ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [], "source": [ "#Load GENESIS models and predict sample sequences\n", "\n", "n = 1000\n", "n_slack = 0.05 * n\n", "\n", "n_ceil = int((n + n_slack) / batch_size) * batch_size + batch_size\n", "\n", "sequence_class = np.array([0] * n_ceil).reshape(-1, 1) #np.random.uniform(-6, 6, (n, 1)) #\n", "\n", "noise_1 = np.random.uniform(-1, 1, (n_ceil, 100))\n", "noise_2 = np.random.uniform(-1, 1, (n_ceil, 100))\n", "\n", "pred_outputs = generator.predict([sequence_class, noise_1, noise_2], batch_size=batch_size)\n", "\n", "_, _, _, optimized_pwm, _, sampled_pwm, _, _, _ = pred_outputs\n", "\n", "pwms = optimized_pwm[:, :, :, 0]\n", "onehots = sampled_pwm[:, 0, :, :, 0]\n", "\n", "#Make predictions using black box model\n", "\n", "score_pred = saved_predictor.predict(x=[np.expand_dims(onehots, axis=1)], batch_size=batch_size)\n", "\n", "score_pred = np.ravel(score_pred[:, 0])\n", "\n", "sort_index = np.argsort(score_pred)[::-1]\n", "\n", "pwms = pwms[sort_index][:n]\n", "onehots = onehots[sort_index][:n]\n", "score_pred = score_pred[sort_index][:n]\n" ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "mean score = 74.8865\n", "std score = 2.0378\n", "-------------------------\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "/home/ubuntu/anaconda3/envs/tensorflow_p36/lib/python3.6/site-packages/scipy/stats/stats.py:1713: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n", " return np.add.reduce(sorted[indexer] * weights, axis=axis) / sumval\n" ] }, { "data": { "image/png": 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J5aHp01mzZo3VISn1X87ZLNYYM/5CbigiuleTqlW+//57Hn3sMYrchoK2Q/FE1ozVFhIeQ37bYUSnfc6jjz7K9OnTGT58uNVhKXVGed3M38e7nYY/qwoF3UxQ1SJLlizhr3/9K+6IuhS0HYiEx1gdkl/EHkl+2yFE7V3B888/z/79+7n77rsJCanm9VpKnUV5CWpgOeeUqtVcLhcvv/wyixcvxlW3EUUt+0JImNVhXZiQMApbDyT8wHfMnz+f/fsP8PjjjxETU7OSrQo+50xQIvJFdQaiVE2RlZXF7594gh3bt1Nc7xKcjbuDqeHTucaGs+kVeCLj+W7dWibddRdPPfkkbdq0sToyVYvV8J8qparXd999x52TJrFzVxpFLfp6t2uv6cmplJKUdhS0HcrR4/lMnTqNjz76SHfmVZY550+WMabPhd7UGNP3Qr9XqUDkdDp56aWXeOSRR8hz28nrcB2uxMrdDTdQeOrUI7/9dTijU5gxYwaPP/44J06csDosVQuV96vfF8aY/xhjhhhz/l8RjTEhxphrjTFfAJ9XXohKWWvHjh3cOWkSCxcupDilPfntRiARda0Oq0qJPYLC1oNwNurG6m/XMGHCRFatWmV1WKqWKa9I4jJgBrAUOGqM+Q/eVkd7gWN4q/sSgNZAT2AAkAh8CXStwpiVqhYOh4N3332XOXPmIGHRFLYZjLtuQ6vDqj7GUJzaEVfdRkj6Kh5//HEGDBjAtGnTiI+vGaX0qmYrr0jiB6CfMaY33lZGo4Hb8JaSl2aAAmAx8KqI6Io/VeOtXbuWF1+cQVbWUUqSWuNo3MO6buQW80QlkN9uBGEZP7D8yy9Zs2Yt99zzPwwbNgybLXjm31TgKW8EBYCIrAJWGWPsQHegA97dcwXIBrYCG0TEXZWBKlUdsrKy+MdLL7Hq66+RyDiK2g7FHZtqdVjWs4VQ3LArroTmuPev4YUXXuDTpUuZ/tBDtGrVyuroVJA6b4I6zddr71vfS6mgUlhYyAcffMC8efNwuQVnw8sorv+r6t9gMMB5IuMpbDuU0Nw97Exbz12TJzN0yBAmTZpEUlKS1eGpIFPhBKVUMHK5XCxdupSZb77FqZMnKElogbNRtxrXEaJaGYMrqTWn4poQfuQHln32GV988SXjxt3MzTffTGRkpNURqiChCUrVSh6Ph5UrV/LW229z6OBBPHXqU9T+WjwxyVaHVnOEhuNs0oPilHaEH9rIO++8w0cfLWHChNsYPnw44eG1c85OVR4TrIvwunXrJhs2bLA6DBVgPB4Pq1at4q2332Z/ejoSFY+jQRdccU3B+NN2svpE7lwKQFG7YRZHUj5bfhYRhzYQkpdJQmIiEydMYOjQoYSF1dAWUKrKGGM2iki3815nVYIyxqQDTc9yaqmIDDfGhABPALcCqUAGMBt4QkRc57u/JihVmsfjYfXq1bw9axY/7dsHkXEUpXbGldAs4DtB1JQEBYAIIXkZRBzZhC3vKEnJyUy47TYGDx6sIyp1RkUTlJWP+LoDpWegU4GNwHzf+0fw7t47EfgR6Ai8AzjRreVVBZWUlLB8+XJmf/ABhw4ehMi6FDW/2tsFIsATU41kDO7YBhTUSSXk1BGyjmzixRdf5K233+bmsWO57rrriIqKsjpKVUNYlqBEJLv0e2PMJOAUPyeoXsDHIvKx7326MWYJcHn1RalqqqKiIpYuXcoHc+aSm5ONRCfiaNG3RoyYgoIxuOs2pCC2ASF5GbgztvDaa6/x7nvvceMNN3DjjTcSFxdndZQqwF1QgjLGNAPqAdtFJO9igzDGGGAS8L6IFPkOrwamGmPaichOY0wHoB/wXDn3mQJMAWjSpMnFhqVqoNzcXBYvXsziDz+iID8PT536OFoPxF23UcDOMQU134iqMLYBtvxsSjK38N577zF37lyGDBnC6NGjadr0bE/6lfJzDsoYMxT4K3B6Zd5AEfnSGJMCfA38VkQW+x2EMYOAz4DOvg4Wp5PW08BvATfeZPqMiDxWkXvqHFTtsmfPHhYsWMDy5ctxu92UxDelpN6vcNepZ3VoF61GzUFVgK3oBPaj2wjP3Yt4XFx+eU9uvnksnTt3xugvEbVCpc9BGWOuBpbgnQ96BjiTKEQkyxhzEBiHt+WRvyYD608nJ5+xwARgPLAN6Az8zRjzk4i8eQGfoYKMx+Nh7dq1LFiwkE2bvseE2HEmtqW4XgckItbq8NQ5eCLjcDa7kuKGXbFn7WTd9z/w3XdradGyJWNGj6Zfv35aUKEAP0ZQxpjleJvDdgfigSxggIh86Tv/BHCbiLT0KwDv6OsQME1E3ih1/CDwgoj8rdSxx4DbReS8vVV0BBW8CgoKWLZsGQsXLSIzIwPCo3Emt6M4uV1Q9ssLthHUf/G4sOfuIzxrG6bwOLGxdRk1aiQjR44kMTHR6uhUFaiKKr4eeEu83caYs2W1Q0B9P+532u14K/PmlDkehffRXmludJPFWuvQoUMsXryYT5cuxVFUhKdOCs6WfXHFNQNtWlpz2UIpSW5DSVJrQvIycB3dxrvvvsvs2bO55pprGD16NO3atbM6SmUBfxJUCFBUzvkkoMSfD/fNM90FzBWR/DKnPwb+zxjzE95HfF2Ah4B3/fkMVbOJCBs3bmThwoWs/e47MIaS+OYUN+ugXR+Cja+goii2AcZxirCs7Xyx8muWL19O+w4dGDN6NFdffTWhodoAp7bw57/0TuAq4NVznB8GbPHz8/vi3U/q1rOcuw/veqdXgBS8C3XfAJ708zNUDeRwOPj8889ZsHAhB/bvx9gjcaZ2oiS5HRKm62iCnUTE4mzSE2fDrthz0tixbwdPPvkkiYlJ3HDD9YwYMYK6dYN700jl3xzUvXg3MLwL+BTvHFR/YA3wLPAA3vmh96omVP/oHFTNVLZMXKITcaR0wJXQHGy18zfnoJ+DqgjxEHLyEOFHtxNy6gh2u50hQ4YwZswYXVJSA1XFHNTLwJXA28BxvPtBvY/30Z4deDdQkpOqefbu3cuCBQv4fPly3C4XrvgmFLe9Cned+rp+SYGx4Y5rQmFcE2yFx7Ef3cYnny7l448/pmfPnowdq2Xqwcif/aAEGGeM+RdwC9Ae7266m/Emp3lVE6IKViLCpk2beH/2bL7fuNFXJt7aVyauj2/U2Xmi4nE2v4riRpdhz9rBdxs3s3btWlq1as348ePo06cPISG6j1cw0G7mqtp5PB7WrFnDe++9x86dOzFhUTiS21OcEpxl4hdLH/Gdh8eFPXcvEUe3QdEJGjRoyC23jGfQoEHY7Xaro1NnUandzI0xMUAu8KSIPFMJ8VU5TVCBx+12s3LlSt597z32p6dDRB0c9S6lJKlVrZ1fqghNUBUkHkKPHyAicwumIIfExCTGjx/HiBEjdOFvgKnUOSgRyTfG5AM5Fx2ZqnVEhK+//pqZb77FwQP7vXswaUdxVdmMDVdCM/LjmxJy6jCejC384x//4L33Z3PH7RMZNmyYjqhqGH9+bf0K6A28XkWxqCAjIqxbt443Zs5kT1qadw+mltfgim+mhQ+q6hiDu24jCuo2IiQvE8/hjcyYMYPZH8zhzjtuZ+DAgTpHVUP4U2beAm9D2NeBF0WkoCoDu1j6iM9aaWlp/OMfL7Flyw8QUce7OWBiSx0xXQB9xHeRRAg5dZjIw99jCnJo3KQJ9917Lz169LA6slqr0nfUNcbsBmKBZLwl5plAYZnLRETa+hlrldAEZY0TJ04wc+ZMPvn0U0xoOEWpnSlJbgs2/Y31QmmCqiQihB7fT+ThDeA4Rc+ePbn33ntp1KiR1ZHVOlWxDioLOAqkXXBUKmi5XC4WL17MW2+/TVGRg+KUDjgbdNaqPBU4jMGV0Iy8uMbYj27nuw3fs37iREaPHs3EiRN1p98A5M86qKuqMhBVc6WlpfGnP/+ZPWlpuOo2wtmiB55I3S1VBShbCCWpl+JKaknYoY3MmzePL1es4OHp07n8ct2wO5Boba+6YA6Hg3feeYd58+YhoRFaAKFqFLFH4WzeG1dSG7L2f8MjjzxCv379uO+++4iPj7c6PMUFJCjfdu/XAS18h/YBS0QkvdKiUgFv69atPPPsc2QcOUxxUhucjbvr4zxVI7nr1CO/w0jCMrawYuVXrFu/noenT6dv375Wh1br+ZWgjDG/x7uTbtkZ778YY54SEe00HuScTiezZs1i7ty5SHgMhW2H4o5NtTospS6OLYTihl1wJTTDnb6aJ554gmuu6ceDDz6gXdMtVOGaX2PMROD3wAZgNN5efO19X68Hfm+MmVAVQarAkJaWxuQpU5gzZw7OpNbkdRilyUkFFU9kPAXthuNs2JUVK1cy8fbbWbt2rdVh1Vr+lJlvwLuj7VUiUlLmnB1YDYRUpHSwOmiZeeVxuVzMnTuXt99+G09IOAVNr8Qd19jqsGoNLTO3hq0wl6ifVmEKj3Httddyzz33aKVfJalombk/qybbA3PKJicA37E5vmtUEDl06BD33/8AM2fOxBHbhFOXjNLkpGoFT1Qi+e2vpbj+pXz88cfcOWkSW7dutTqsWsWfBOUCyvv1Idp3jQoCHo+HRYsWccedd7Jj9x6KWvTB0bIvhEZYHZpS1ccWgrNxdwrbDSPzeD733Xcfr776Kk6n0+rIagV/EtR64G5jTHLZE8aYJGAysK6yAlPWOXz4MA88+CD/+Mc/KIpMIe+SUb42RVo+rmond5365HUYhTOpDfPmzePOSZPYtm2b1WEFPX+q+J4GPgd2GGPeALb7jl8CTALqAhMrNzxVnVwuF4sWLeLNN9+ixCMUNbsKV1JrTUxKAYTYcTa7Eld8Mw7v/4Z7772XG2+8kTvvvFPnpqqIP50kVhpjxgAvAY/g7cd3+l+uw8BkEfmq8kNU1WHnzp38+fnn2bd3L664xjia9kLCoq0OS6mA467bkLxLRhF+cAMLFy5kxcqvmP7Qr+nVq5fVoQUdv9ZBiciHxphPgO5Ac9/hfcB6EXFXdnCq6uXl5fHWW2+x+MMPMfZIilr2wxXfVEdNSpUnJAxns16UJLVC9n/L7373O3r37s20adOoX7++1dEFDb87SYiIC1jje6kayu1288knn/DGzJnk5+VRnNIeZ8PLIDTM6tCUqjE8MSnkt7+OsKM/svrbNaxdu5bx48czbtw4IiK0oOhi+bNQt68x5ulyzj9ljOlTOWGpqrR582bumjyZGTNmcJJoCi4ZibPpFZqclLoQNhvFqZ3Iu+QGCus04p133uGWW27liy++oKLrTNXZ+bNQ9zMgT0RGn+P8fCBGRAJiNaEu1P1v6enpvP7666xZswbCYyhq1F2buwa48ANrsed4d7hxRyXiiUrA2aSnxVGp8oTkZRJ58DtMQS5t27bjnnv+h86dO1sdVkCpiv2gOgEvlHN+LfAbP+6nqkl2djZvv/02y5Yt81YiNbyM4nqXQIg2sw90tsJjGLd3bXxoXqYuNKwB3HXqk9/+WkJz9rArfTMPPvggl1/ek7vvnkKLFi3OfwN1hj//QsUB+eWcLwS0R30AOXnyJHPnzmXhokWUuFwUp3SgOLUTYtdn40pVKWPDldyGvMQWhB3dzrqNm1g3aRKDBg3i9ttvJzVVe1hWhD8J6gjQpZzzXfHuuFshxph0oOlZTi0VkeG+a1KBPwLDgDp4Kwbv0XL28hUUFDB//nzmzZ+Po6iIkoSWOBt1RcLrWB2aUrWLLZTi1I4UJ7ch/MgWPvt8OZ8vX86I4cO57bbbSE7+r74HqhR/EtRSYIoxZo6IrCx9whjTF7gdeNOP+3Xnl9t2pAIbgfm+e8YB3+BtQjscyMa7B1WWH59RqxQVFbF48WJmfzCHgvw8SuKbUdyyC55IHdgqZanQCJxNelBc/xLCMn5gySefsGzZMkaNGsX48eN1g8Rz8KdIoj6wCUgGPgE2+051BkbgTSCXiciRCwrEmEfxzmGlikiRMeZZoI+IXHkh96tNRRIOh4OPPvqI2bM/4NSpk95t1xt2xROdZHVo6iJF7lxKaF7mmfeuOvW1q3kQMM48wo9sxp67hzB7GDfeeANjx44lLi7O6tCqRUWLJCqcoHw3bQ68Dgwoc+o/wFQR2edXlD/f1wB78T7eu9d3bDvwb6DZM6gnAAAgAElEQVQhcA3eR4wzgZelAkHXhgTldDpZsmQJ78+ezckTJ3DHNsDRsCuemBSrQ1OVRBNUcDOOk75EtZfwiAhG33gjN910U9BvklglCarUzZOA1r63aSKS4/dNfnm/QcBnQGcR+cF3zOE7PQPvY7/OwD+A/xORl85xnynAFIAmTZpctn///osJK2AVFxezdOlS3nn3PY4fy8Udm4qzQRfcdXQFe7DRBFU72IpOEHZkE/ZjPxERGcnYm25izJgxxMTEWB1alajSBFXZjDELgKYi0qPUsWJgg4j0KnXsWeB6ETnvvlPBOIJyuVx89tlnvD1rFjnZ2Xjq1MPRoKvuahvENEHVLrbC495EdTyd6OgYxo27mRtuuCHomtFWxTqosh/QA29hRENgG/A3EalwFV+p+6QAI4FpZU5l8HPH9NN2AA/4HWwN5/F4WLFiBW/MnElmRgae6GQcbQbjjm2gi2yVCiKeqHgcrfpRXJCL68j3zJw5k3nz5zPhttsYOXIkYWG1q9tLuQnKGDMdb+fyX4lIVqnjNwPv8XMV3rXALcaYyy7gcd/tgBPvjrylfQO0LXOsDRCcz+3OYcOGDbz22uvs2ZOGRCVQ1HoA7rqNNTEpFcQ80YkUtR6ILT8L9+Hvefnll5m/YAGT77qLAQMGYLP5s5VfzXW+v2V/4IcyySkU77yQG5iKd/3TU0Aj/Owk4SuOuAuYKyJlFwHPAHoaYx41xrTybfVxP/CyP59RU6WlpfHQ9Ok8/PDD7DmUSVHzq8nvMBJ3XBNNTkrVEp6YFArbDqGwzWCyCtw8++yzTLrrLtavX291aNXifI/4OgDvlzl2NVAPbzXda75jm40xnYGheEdcFdUXb7HFrWVPiMh6Y8wo4FngceCA789X/Lh/jXPq1ClmzpzJko8/xoSG42jcg5KU9mALOf83K6WCkrtuQ/JjGxB6bB8/HdnEb37zG3pdeSX33XtvUHelOF+CSgbSyxzrhXezwg/LHF8B9PPnw0VkBT9veni2858Cn/pzz5rK7XazbNkyXnv9dfLz8ylObo+zYRcIDbc6NKVUIDAGV2JL8uKbEXZ0G2vWrmP9ugnccsstjBs3jvDw4Pu34nyP+IqAstuq9sCboL4rc/wEF1F0UZsdOnSIaffeywsvvMApoinoMBJn056anJRS/80WQnFqR/J+5d3eY9asWUy8/Xa2bt1qdWSV7nwJ6idKjYqMMRHAVcDWs8wZ1cPbTUJVkIjwySefMGnSXexK20dR86spaDsUT1SC1aEppQKchEXjaHkNhW2HkHk8n/vuu4+33noLlyt4et6fL0G9D4wwxvzRt5j2DaAuvn55ZVwJpFVyfEGroKCAxx57jBdeeIHC8HjyLhmFK6mVFkAopfzijm1AXoeRFCe05N1332XqtGlkZmae/xtrgPMlqNeB9cD/AsuAW4AtwN9KX+RbyzQI+KIKYgw6x44d4/77H+Cbb9fgaNydwjZDkLCyT1KVUqqCQsJwtLiaopbXkLY3nXumTmXfvgvqPBdQyk1QIuLA+0jvZuD/AeOBy0WkoMylDYDfA7OrIshgkpGRwbRp97IvfT+FrQdQUv9SHTUppSqFK6E5+W2HciLfwX333V/j56XOu9pLRFwiMl9EnhGRuSJSfJZrNovIn0SkVi2i9VdhYSG/fughMnNyyW8zGHfdRlaHpJQKMp6oBPLaDafAE8L0hx/m8OHDVod0wWrHcuQA8fe//53MzEwKWvbXjuNKqSoj4XXIbz2YYpfw9DPP1NjCCU1Q1WTNmjX8+9//xlm/o3YdV0pVOQmPobDJFezYvp35889W1xb4NEFVk2XLlmHCoihu0MXqUJRStYQrsQXuOqksXbrM6lAuiCaoauByuVi3fj3O2EZQS5o8KqUCQ0lcEw4dOsiRIxe02bml9F/LapCZmYmjqAi3zjspparZ6X939u7da3Ek/tMEVQ3i4+MBMC6nxZEopWob4/JuTn7636GapMIJyhgTb4xpXeZYU2PMDGPMO8aYAZUfXnCIjo4mIjISm/Ok1aEopWoZmzMPgOTkZIsj8Z8/I6i/Ax+cfmOMiQZW4d3h9jZgmTGmd+WGFzyu7NWL8OPp4PqvZWRKnZu7mIiICEaPHk1ERAS49f8/yg8ihOfsplnzFqSk1LwpBn8S1BXA0lLvx+LdpPA6oAmwG29LJHUWN910E+Iqxp69y+pQVA1iXMWMGDGCe++9l+HDh2P0Fxzlh5CThzCFxxh381hMDexY48/2GPXxbhp42lBgo4h8AmCMeRv4dSXGFlTatm1L9+7d2fD9ZlzxTZGIWKtDUjWAhIbxySefICJ8+umnSGiU1SGpmsJdQtTB76hXrz79+vm1VV/A8GcEVQJElnrfB/iq1PtjQGJlBBWsHn74YSLC7USlfw3isTocVROEhOFwOFi0aBEOhwNCwqyOSNUQ4Qe+wzjzeOyxR7Hb7VaHc0H8SVBpwPXGawTeZFS6e3ljvElKnUO9evV46Ne/xpaXRdihjVaHo5QKUqE5aYTl7GbcuHFceumlVodzwfxJUK8A1+DdlHAR3q3gl5c63xuo2a1zq8GAAQO47rrrCM/8kdAc3T5LKVW5bHlHidz/LZ27dOHOO++0OpyLUuE5KBGZZbyzbKOAk8DTIlICYIxJBJKBl6okyiBijOH+++/nwMGDbP7hWwrD62hvPqVUpTDOPGL2fUm9eik8+Yc/EBrqT5lB4PFroa6IvC0iI0VkgojsLnU8V0Q6icgblR9i8AkNDeXJP/yBBqn1id77JcZxyuqQlFI1nctJ9J7lRNpt/OmPfyQ2tuYXYl10JwljTCdjzDXGGJ299UNsbCx//tOfiI6wE7Pnc/Ct9lZKKb95PETtXUGI8xTPPP00TZs2tTqiSuFPJ4lfG2M+LHPsXeB7vHNRP/q2flcV1KhRI5579llCSgqI2rtSK/uUUhck/OB3hJw6wm8efpguXYJnxwR/RlDjgTPtcI0xfYFbgQV4t3tvhC7U9dull17Kw9OnE3LqCOEH11sdjlKqhgnN3k1Y1g5uuukmhg4danU4lcqfBNUc2FHq/fVAJjBeRJ4GXgOurcTYao2hQ4dy/fXXE3Z0G6HHfrI6HKVUDWErzCXywBq6du3KlClTrA6n0vmToKKBglLv+wHLRc48l9qGdxSlLsC0adNo27YdUfu/xTjzrQ5HKRXo3C6i9n1FXN1Y/t//+381vmLvbPxJUEeASwGMMU2AS4CvS52PByq8n4QxJt0YI2d5fXqWa3/rOxe0ZeyhoaE8/vhjhIUYItNXgYjVISmlAlj4oQ2YohM8+rvfERcXZ3U4VcKfBPUJcI8x5q/AfKAYKJ1MLgH2+3G/7kBqqVdXQHz3PsMY0xOYAmzx4941UqNGjZg2bSohpzIIza15m4sppaqHrSCHsKztXH/99XTv3t3qcKqMPwnqD8B3wP1AF+AhEckAMMZE4J2TWlnRm4lItohknn4Bw4BTlEpQxpi6wGzgTuC4H7HWWCNGjKBtu3ZEHV4PusGhUqosESIPrCEuLp5JkyZZHU2VqnCCEpFjItIHbw++WBF5pdRpAwwAnrmQIHwdKiYB74tIUalT/wQWisiKC7lvTWSz2Zj+0ENIiYOwjKAfNCql/BSauxdbfjZTp95DTEyM1eFUKb8X6orIcRFxljlWJCIbRSTnAuMYiLdK8EwnCmPMZKAV8FhFb2KMmWKM2WCM2ZCdnX2BoVivTZs29O/Xj4jsnZiSQqvDUUoFCo+HyIzNNG/RggEDgn8Tc78SlDEmxhjzO2PMSmPMDt/8EMaYJN/xNhcYx2RgvYj84LtfW+BZvCXsJRW9iYj8U0S6iUi3mri9cWl33HEHRtw6ilJKnWHPTQPHKSbfdRc220U3Agp4/nSSSATWA08CDYE2QBSAb+R0F95iBr/4uk+MpNToCe/uvUnANmOMyxjjwrv/1FTf+3B/P6emadSoEYMGDSI8e7eOopRS4PEQkbmFNm3bcsUVV1gdTbXwJwU/jTcxXeF7ld0/+EO881D+uh1vefqcMve6FOhc6rUBmOv7ulbse33rrbeCuAnL1F1MlKrtQo/tBUcet0+cWCO3b78Q/iSoa4FXRGQ93nLwsn7Cu2lhhfmKI+4C5orImdWpInJCRLaWfuFdJHzM975WLBJq1KgRAwYMIDx7J6ZYR1FK1VoeN5EZP9CyZataM3oC/xJUMt5ddc/Fhe+Rnx/6Aq355eM9Vcodd9yBQQg7stnqUJRSFrFn7wLHKaZMmVxrRk/gX4I6CrQo53wX4IA/Hy4iK0TEiMi6ClzbV0Tu9ef+waBBgwZcd+21hOXswlaYa3U4SqlqZkocRGb+QMeOnejRo4fV4VQrfxLUUmCSMaZe2RPGmG7ABGBJZQWmfnbnnXdSt25dotJXg0e35FCqNgk/sBabu5gHH3ygVo2ewL8E9STeuadNwFO+r281xrwHrMY7wvpjpUeoiI2NZfpDD2EKcgnL0Ed9StUWocd+wn5sHxMmTKBFi/IeYAUnfzpJHMFbvbcJuBtvFd/tePeJWgH0FhF9BlVFrr76agYPHkz4kc3ap0+pWsCWn0XUT6to174948ePtzocS/jVn11E0oHhxpgEoC3eJLVHRLKqIDZVxvTp08nIyGTL1tUU2qNwx6ZaHZJSqgoYxyli9n5BSkoSzz37LHa73eqQLHFBS5F9ffnWiMi3mpyqT1hYGM888zSNGjYkOu1zQo+lWx2SUqqS2fKzqbPrU6LCQnn+z38mPj7e6pAs43eCMsaEG2PaGGOuMMb0KvuqiiDVz+rUqcNL//g77dq1IXLvl9gzf9S9o5QKEqHH9xOzexnJcbG88vJLNGnSxOqQLFXhR3zGmEjgebxdx8POdgnewomQyglNnUtcXBx/nTGDZ555lq+//oqQghwcTa+A0AirQ1NKXQiPi7DDmwjP/JE2bdvx3HPPkpCQYHVUlvNnDuqveJu6/gf4EtCCCAuFh4fzxBO/Z/bs2cyaNYuwbUcpaNILd3zt/o1LqZrGlp9NVPoqTNEJhg8fzn333UdEhP6yCf4lqBuAeSIyrqqCUf6x2WzcdtttXHHFFTz73HPs27OckoQWOBt3R8KirQ5PVQJPVALiW6DtjkrEE6W/VQcNVzFhGT8QfnQriQmJPPKHP9e6hbjn40+CisI7clIBplWrVrz+2mu8//77vD97NmE/HsBRrwPF9TtC6NmexqqawtmkJ7bCYwAUtRtmcTSqUnjc2LN3EpnxA1LiYOjQoUydOpU6depYHVnA8SdBbQRaVlUg6uLY7XbuuOMOhgwZwptvvsny5cuJyNlNUWonSpLbgs2vFQVKqcomQujxn4g8/D04TtG5S1fuued/aNPmQrfRC36moo3BjTFX4t0GY5CIbKrSqCpBt27dZMOGDVaHYZndu3fzyquvsnnTJkxYFEUpl1CS0g5Caud6iposcudSQEdQNZbHQ+ixvURk/ogpOkHTZs2Yes899OjRo9a1LjrNGLNRRLqd7zp/fq2eCBwE1hljVuHdXsNd5hoRkbv9uKeqIm3atGHGiy/y/fff8/77s9m0aT2RmVtwJLejpF4HxB5pdYhKBTd3Cfac3UQc3QbOfJo1b8Ftt95H3759CQnRYueK8GcEVZEupSIiAfG/fG0fQZW1Y8cOZs+ezerVqzEhoTgTWlJSrwOeyNq7CLCm0BFUzWKKC7Bn7SAiJw0pKeKSX/2K2269lcsvv7zWjpjKqooRlD4bqsHat2/P008/zf79+5k3bx6ff/45Jdm7cMc2wJnSAXdcIzAX1FhEKSVCSH4W9qPbsZ9IxwBX9OrFzWPH0rFjR6ujq7EqPIKqaXQEVb4TJ07w6aef8q9/LSY3NwciYnEktaUkubUu+A0wOoIKYG4Xocf2EZG9A1OQS1R0NNeOGMGoUaNITdVemedS0RGUP4/4ioEJIjL3HOfHALNFJCDqmjVBVYzL5eKbb75hwcKFbP3xR4wthOL4ZhSntMcTnQz6SMJymqACj63oBPbsnYTn7kVcTpo0bcroG29k4MCBREbq/O75VMUjvlDK790XgrY5qnFCQ0Pp06cPffr0Yd++fSxZsoR/f/YZjh17kehEnEltKUlsqdV/SnnchJ7YT1jWLkLyMggJCaFPnz6MHDmSjh076vxSFajMxTGNgbxKvJ+qZi1atODBBx9kypQpLF++nMUffshP+74l8tB6b1FFSls8UYlWh6lUtTLOPOzZu4jI3YMUF5KSUo+RN09m2LBhtbrTeHUoN0EZY64Fri11aJIxpu9ZLk0ABgPfVl5oyipRUVFcd911XHvttWzfvp0lS5bw5ZdfUpK9E09MCs7ktrgSmuviXxW8xEPIyUOEZe0i9ORBjDH07NmTkSNH0r17dy0TryblzkEZY34P/N73VvB2LD8bB7AWuFtE0io1wgukc1CV69SpU3z22Wcs/vBDjhw+jLGH40xoTXFKOyQi1urwgprOQVUfU1KEPXs34Tm7wJlPXHw8144YwYgRI6hXr57V4QWNSimSMN6Hqja8iakYmADMKXOZiEhF1khVK01QVUNE2Lx5Mx9++CGrVq3G43HjqtuI4pT2uOs20qKKKqAJqoqJYCvIJixrB/bj6eBx07lLF64fNYorr7yS0FB9UlDZKqVIQrzZy+27YWsgU0TKdo9QtYgxhi5dutClSxdycnL4+OOP+WjJEk6kfe4tVU9uR0lSawgNtzpUpcrncRN6bB/hWTuxFWQTERnJ0JHXMWrUKJo2bWp1dApdB6UqQUlJCV9//TX/WryYbVu3YkLsOBNbU1yvgz7+qwQ6gqpc3sd4u4jI3okUF9K4cRNuvPEGBg0aRFRUlNXh1QoXPYIyxvwT77zTPSLi8b0/H+3FVwvZ7Xb69+9P//79SUtLY/78+Xzx5ZeEZW2nJK4pJfUvwR1TTx//KUvZio5jP7qN8Nx9iMdF9x49uOmmm7jsssu0RDxAnXME5eu9J0CkiBRrLz7lj5ycHD788EMWf/gRBfl53uq/+pfiimuiicpPOoK6OLa8o4RnbiH0xEHsdjtDhgxh9OjR+hjPQhddJGGMCQE4Ped0+v35BMoclSaowOBwOPjss8+Y/cEcso5mIlHxOOpdiiuxhfb+qyBNUBdAhJBThwnP2EJIXiYxdeowZvRoRo4cSVxcnNXR1XoX/YivbKKp7MRjjEkHzvYrzFIRGW6M+S3ebebbAk68Zey/FZGtlRmHqloRERGMHDmS4cOHs2LFCt6fPZv9P30NGZtw1LvUW1BhC4hBtwoGIoSe2E9Exg+YglwSEhMZN20aI0aM0BZENdD5Fur2APaIyLEq+Ozu/LI1UireXXvn+973BV4B1uMtc38SWG6M6VBF8agqFBoaysCBA+nfvz9r1qzh3ffeY9fOb4k4+iOO+h0pSWwNNh1RqQskQsiJg0RmbMIU5JLaoAG3TftfBg4ciN2ubbpqqvMV+K8BbgM+ADDGxAD/BJ4Wke0X88Eikl36vTFmEnAKX4ISkcFlzt8GnASuBD6+mM9W1rHZbFx55ZX06tWLdevW8dZbb7Nr1zdEZP5IUf2OuJJa6aM/VXEihJw8RMSRTdgKcqifmsod9/+W/v376/qlIHC+/4JlZ7PDgZuBmcBFJahffIi3hGYS8L6IFJ3jsjp4Fw0fL+c+U4ApAE2aNKms8FQVMMZw+eWX06NHD9auXctbb71FWtpqOPojRQ264opvpsUUqlwheZlEHN6ILe8oKfXqc8e9jzBw4EBNTEEkUP5LDgSaA2+Uc83fgM14R3VnJSL/xDvCo1u3bsG5wCvIGGO44oor6NmzJ6tXr+afb7zBwb0r8MQk42h4Ge7YBlaHqAKMrfAY4Yc3EnriIHHxCdz50EMMGzZME1MQCpT/opOB9SLyw9lOGmNeBK4CrgqUKkFVuYwx9O7dm169evGf//yHmW++Re6uf+Ou2xBHo27aRV1hnPmEH/4ee+4eIqOiuHXyZG688UYiInSDzWBleYIyxqQAI4Fp5zg/A+9jxWtEZF91xqaqX0hICEOHDqVfv3589NFHvPPOu4Rs+4iSxFY4G3ZFwmOsDlFVN5eTsIwtRGRtJ8RmY/TNNzN+/HhiY7VLSbCrSIIaZoyp7/s6Cu/i3THGmM5nuVZEZIafMdyOt4y8bBNajDF/A8biTU47/byvqsHCw8O56aabGDp0KLNnz2bhwkWEHU/HkdKe4tROEBoQGzerquRxY8/aSWTmD0iJgwEDBzJp0iTq169//u9VQeF83cz97VLuVycJX3HELuArEZlc5tzLeCsIR/HLgox8Eck/3711oW5wyczM5M033+Tzzz/H2CMoSu1ESXK7WrGGqtYt1BUh9PhPRB7+Hhyn6NK1K1PvuYfWrVtbHZmqJJW13UYffz9YRL6q6LXGmGuAL4HLRWRdmXPnCuwPIvLE+e6tCSo47d69m1defZXNmzZBRCxFDS8L+oq/2pSgQvIyiTi0Hlt+Ns2aNeeee/6HHj16aK+8IFNZ221UONlcCBFZwTk2QRQR/X+k+i9t2rRhxosvsm7dOl559VX2a8VfUPBW5n1P6IkDJCQmMnnaIwwaNEh3rq3lLC+SUMpfp9dQdevW7b8r/hp2wxOtFX81hXHmEX54k1bmqbPSBKVqrP+q+Hv3PUK2f0RJQnOKG3TBE6lNQQOVKS4kLGMLYTm7sIfYuFEr89RZaIJSNd7pir9hw4Yxd+5cFixYiHNbOiUJLXA26IxE1LU6ROVjSooIy9hCePYuDB6GDh3KxIkTSUlJsTo0FYA0QamgERMTw1133cXo0aOZN28eixb9C/vWfd41VKmddHdfC5mSIuyZW4nI3gkeF4MGDWLChAk0bNjQ6tBUANMEpYJOXFwcd999N2PGjGHu3LksXrwYe+4eSuKbU5zaEU9UgtUh1hrGmU9Y5lbCc3eDx82AAQOYMGECjRs3tjo0VQNoglJBKyEhgalTpzJ27FgWLFjA4g8/xLltH664xjhTO+GJ0cdKVcU4TnrnmI7txYZh0KCBjB8/Xps4K7+Uuw6qJtN1UKqsU6dOsXjxYuYvWEhBfh7uOvVx1v8V7rqNA3odVU1aB2XLzyIscyv24+nY7XZGjBjBzTffTL169awOTQWQSlkHpVQwiY2NZeLEiYwZM4ZPPvmEefMXkJu2HCLjcKR0oCSpFdj0R8Jv4iH0+AHCs7Ziy8siKjqaUePHM3r0aBIS9HGqunD606hqnaioKG666SZuuOEGVq5cydy589iz51siMzbhSGpHSUo7xK7bg5+XuwR7ThoRWdvBcYqUevW5+Y77GTJkCFFRUVZHp4KAJihVa4WGhjJgwAD69+/P5s2bmTtvHt+tXUt45hZvQUW9Dniik6wOM+AYxynCsnYQnpuGuIpp264d425+iN69e2vnB1WpNEGpWs8YQ5cuXejSpQsHDx7kX//6F0uXLsOZuwdPnXo4Uzrgim9au7eiFyEkL5Owo9sIPXEAmy2Evn37MHr0aDp06GB1dCpIaZGEUmeRn5/PsmXLWLBwEVlHMyE8BmdyO4qT20Bo9bbhsbRIwu3Cfmwv4Vk7MIXHqBMby8jrrmPkyJEkJydXfzwqKGiRhFIXISYmhjFjxnDDDTewZs0aFi5axOZNG4g4shlnQgtK6nUI6vVUxpmPPWsHEblpSImD5i1aMGb0XfTv35/w8HCrw1O1hCYopcoREhLCVVddxVVXXcW+fftYvHgx//7sM0pyduOOTcWZcgnuuKotU6+2RCjiLRM/ug37if0YoHfv3tx444107NhRt7xQ1U4f8Snlp1OnTvHpp5+ycNG/yM3JhshYHMkdKElqDSF2q8Pzn8dD6PF0wrO2YcvPJjo6huuuu5ZRo0bp+iVVJSplw8KaTBOUqmoul4uvv/6aefPns2vnTkxoOI6kNpTUuwQJqwFl1u5i7Fm7iMjeAc58Uhs0ZOxNYxg8eDCRkVpmr6qOJihNUKoabdu2jXnz5rNq1deIsVGc2Iri+pcGZINaU+LAfnQbEdk7EFcxnTp3ZuxNN9GzZ09stlpcqaiqjSYoTVDKAkeOHGHOnDksXbYMt9tNSUILb4PayHirQ8MUF3gbt+bsQtwuevfuzS233EK7du2sDk3VMpqgNEEpC+Xk5DB//nw+/PAjioud3r2pGl2GhNep/mBcDsKP/EBY9k5sCP379+eWW26hWbNm1R+LUmiC0gSlAsKJEyeYP38+CxYupMTloji5HcWpnRF7NaylcrsIy9pGROZWcBczePBgJk6cSGpqatV/tlLl0ASlCUoFkOzsbGbNmsXSpUshxE5R/U6U1L+karpTiBB6bB+RhzeAs4CePXsyZcoUWrRoUfmfpdQF0ASlCUoFoPT0dF577TXWrl2LRCdR2OxKPFGJlXZ/48wnYv8aQk8epHWbNtw7bRqdOnWqtPsrVRk0QWmCUgHsq6++4sUZMzh58iTO+pdS3KAL2C6i0aoI9uxdRB7egN1mmDz5Lm644QZt3qoCkrY6UiqA9enThy5duvDKK6/w73//G3teJoWt+iH2C1g/5XYRkb4K+7Gf6NK1K7/5zW90nkkFBR1BKWWxlStX8uyzz1Fs7BS07OfXFh/GmU/03i8xhblMmTyZcePGaUsiFfAqOoLSVXlKWaxv3768/PJLJMVGErNrKSEnD1fo+0zRSers/IRITwHPPfss48eP1+SkgoplCcoYk26MkbO8Pi11zVRjzE/GGIcxZqMxprdV8SpVlVq3bs0b//wnTRs3Jnrvl9gKcsq93hQXErPnP8RE2Hn1lVe44oorqilSpaqPlSOo7kBqqVdXQID5AMaYscDfgGeBLsC3wDJjTBNLolWqisXHx/PCC8/z/9u7Y9eqzjiM499fUiO5dSneG0shlGBLhgwKhjs4dUgguDhlqyXQqBXt0rmjLlYziugi2NBK6T+QDl3q0DYWCoW22KIipQm3tn7PbpcAAAJ+SURBVGAsNmr8dUgEvUQc1HPe6PcDd7jnvBye7eG87znnbW59jS2XvyL+u7n+wJU7vHp5js3c5cQnxxkaGqo2qFSR2goqMzuZufDgB+wBbrJWUMBHwLnMPJuZP2fmh8CfwKGaIkvPXbPZZObkSRp9vTSufgPrrBFvvj5Pz+1/OHb0KMPDwzWklKpRxBpUrE6cvw98mpm3I6IP2AXMdQ2dA3ZXnU+q0uDgIEeOHKZnaYFNnV8fOde7tEBf5xcmJycZHX3iGrO0oRVRUMA4MAScXfvfBHqBxa5xi8Drj7tIRByIiPmImO90Os8lqFSFiYkJduzcSf8fl2Dl7urBTPqvf0trYICpqala80lVKKWg9gPfZ+aPT3ORzDyTmaOZOdpqtZ5RNKl6EcH+6Wny3jKbbvwOQO+tReLfG7y3bx+NxgbYb0p6SrW/qBsRA8Be4PBDh/8CVoDu7Ty3AQsVRZNqNTIywvbtb/HbtR945e8r9Cwv0d9oMDY2Vnc0qRK1FxQwBSwDnz04kJl3IuISq1N/Xzw0dhz4stJ0Uk0igoMHDzA7O8v9+wm0GB8fc7dbvTRqLai1hyOmgc8z81bX6RngfER8B1wEPgDeAE5Xm1KqT7vdpt1u1x1DqkXdd1DvAG8D73afyMwLEbEV+JjV96R+AvZk5rVKE0qSalFrQWXm18Bjv82SmaeAU9UlkiSVopSn+CRJeoQFJUkqkgUlSSqSBSVJKpIFJUkqkgUlSSqSBSVJKlLkOvvNvAgiogP4Uq8klefNzHziF71f2IKSJG1sTvFJkopkQUmSimRBSZKKZEFJkopkQUmSimRBSZKKZEFJkopkQUmSimRBSZKK9D97FVh5JbLoXQAAAABJRU5ErkJggg==\n", 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import seaborn as sns\n", "\n", "save_figs = False\n", "\n", "print(\"mean score = \" + str(round(np.mean(score_pred), 4)))\n", "print(\"std score = \" + str(round(np.std(score_pred), 4)))\n", "print(\"-------------------------\")\n", "\n", "f = plt.figure(figsize=(6, 4))\n", "\n", "sns.violinplot(data=[score_pred])\n", "\n", "plt.xticks([], [])\n", "plt.yticks(fontsize=14)\n", "\n", "plt.ylabel('Fitness Score (log)', fontsize=18)\n", "\n", "plt.tight_layout()\n", "\n", "if save_figs :\n", " plt.savefig(model_prefix + \"_fitness_score_violin.png\", transparent=True, dpi=150)\n", " plt.savefig(model_prefix + \"_fitness_score_violin.eps\")\n", " plt.savefig(model_prefix + \"_fitness_score_violin.svg\")\n", "\n", "plt.show()\n", "\n", "f = plt.figure(figsize=(6, 4))\n", "\n", "sns.stripplot(data=[score_pred], jitter=1.)\n", "\n", "plt.xlim(-0.25, 0.25)\n", "\n", "plt.xticks([], [])\n", "plt.yticks(fontsize=14)\n", "\n", "plt.ylabel('Fitness Score (log)', fontsize=18)\n", "\n", "plt.tight_layout()\n", "\n", "if save_figs :\n", " plt.savefig(model_prefix + \"_fitness_score_stripplot.png\", transparent=True, dpi=150)\n", " plt.savefig(model_prefix + \"_fitness_score_stripplot.eps\")\n", " plt.savefig(model_prefix + \"_fitness_score_stripplot.svg\")\n", "\n", "plt.show()\n" ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Mean NT Entropy = 1.8343\n", "Std NT Entropy = 0.0835\n", "Number of unique hexamers = 3595\n", "Hexamer Entropy = 8.302790595638253\n", "Mean Binary Hexamer Entropy = 0.2057\n", "Std Binary Hexamer Entropy = 0.2629\n" ] } ], "source": [ "#Calculate average/std nucleotide entropy\n", "\n", "nt_entropies = []\n", "for j in range(onehots.shape[1]) :\n", " if sequence_templates[0][j] == 'N' :\n", "\n", " p_A = np.sum(onehots[:, j, 0]) / n\n", " p_C = np.sum(onehots[:, j, 1]) / n\n", " p_G = np.sum(onehots[:, j, 2]) / n\n", " p_T = np.sum(onehots[:, j, 3]) / n\n", "\n", " nt_entropy = 0\n", " if p_A * p_C * p_G * p_T > 0. :\n", " nt_entropy = - (p_A * np.log2(p_A) + p_C * np.log2(p_C) + p_G * np.log2(p_G) + p_T * np.log2(p_T))\n", "\n", " nt_entropies.append(nt_entropy)\n", "\n", "nt_entropies = np.array(nt_entropies)\n", "\n", "print(\"Mean NT Entropy = \" + str(round(np.mean(nt_entropies), 4)))\n", "print(\"Std NT Entropy = \" + str(round(np.std(nt_entropies), 4)))\n", "\n", "\n", "#Calculate hexamer entropies\n", "\n", "hexamer_encoder = isol.NMerEncoder(n_mer_len=6, count_n_mers=True)\n", "\n", "hexamers = isol.SparseBatchEncoder(encoder=hexamer_encoder)([\n", " acgt_encoder.decode(onehots[i, :, :]) for i in range(onehots.shape[0])\n", "])\n", "\n", "hexamer_sum = np.ravel(hexamers.sum(axis=0))\n", "hexamers_probs = hexamer_sum / np.sum(hexamer_sum)\n", "n_nonzero_hexamers = len(np.nonzero(hexamer_sum > 0)[0])\n", "\n", "print(\"Number of unique hexamers = \" + str(n_nonzero_hexamers))\n", "\n", "hexamer_entropy = -1. * np.sum(hexamers_probs[hexamer_sum > 0] * np.log2(hexamers_probs[hexamer_sum > 0]))\n", "\n", "print(\"Hexamer Entropy = \" + str(hexamer_entropy))\n", "\n", "\n", "#Calculate average/std hexamer entropy\n", "\n", "nonzero_index = np.nonzero(hexamer_sum > 0)[0]\n", "\n", "hexamer_entropies = []\n", "for j in range(n_nonzero_hexamers) :\n", " p_on = len(np.nonzero(hexamers[:, nonzero_index[j]] > 0)[0]) / hexamers.shape[0]\n", " p_off = 1. - p_on\n", "\n", " hexamer_entropy = 0\n", " if p_on * p_off > 0. :\n", " hexamer_entropy = -(p_on * np.log2(p_on) + p_off * np.log2(p_off))\n", "\n", " hexamer_entropies.append(hexamer_entropy)\n", "\n", "hexamer_entropies = np.array(hexamer_entropies)\n", "\n", "print(\"Mean Binary Hexamer Entropy = \" + str(round(np.mean(hexamer_entropies), 4)))\n", "print(\"Std Binary Hexamer Entropy = \" + str(round(np.std(hexamer_entropies), 4)))\n", "\n" ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "mean distance/nt = 0.3959\n", "std distance/nt = 0.0207\n", "-------------------------\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "/home/ubuntu/anaconda3/envs/tensorflow_p36/lib/python3.6/site-packages/scipy/stats/stats.py:1713: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n", " return np.add.reduce(sorted[indexer] * weights, axis=axis) / sumval\n" ] }, { "data": { "image/png": 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\n", 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import editdistance\n", "\n", "#Calculate random pair-wise edit distances\n", "\n", "save_figs = False\n", "\n", "seqs = [\n", " acgt_encoder.decode(onehots[i, :, :]) for i in range(onehots.shape[0])\n", "]\n", "\n", "shuffle_index = np.arange(len(seqs))\n", "np.random.shuffle(shuffle_index)\n", "\n", "distances = []\n", "for i in range(len(seqs)) :\n", " if i == shuffle_index[i] :\n", " continue\n", " \n", " seq_1 = seqs[i]\n", " seq_2 = seqs[shuffle_index[i]]\n", " \n", " dist = editdistance.eval(seq_1, seq_2)\n", "\n", " distances.append(dist)\n", "\n", " import seaborn as sns\n", "\n", "distances = np.array(distances) / np.sum([1 if sequence_templates[0][j] == 'N' else 0 for j in range(len(sequence_templates[0]))])\n", "\n", "print(\"mean distance/nt = \" + str(round(np.mean(distances), 4)))\n", "print(\"std distance/nt = \" + str(round(np.std(distances), 4)))\n", "print(\"-------------------------\")\n", "\n", "f = plt.figure(figsize=(6, 4))\n", "\n", "sns.violinplot(data=[distances])\n", "\n", "plt.xticks([], [])\n", "plt.yticks(fontsize=14)\n", "\n", "plt.ylabel('Edit distance / nucleotide', fontsize=18)\n", "\n", "plt.tight_layout()\n", "\n", "if save_figs :\n", " plt.savefig(model_prefix + \"_edit_distance_violin.png\", transparent=True, dpi=150)\n", " plt.savefig(model_prefix + \"_edit_distance_violin.eps\")\n", " plt.savefig(model_prefix + \"_edit_distance_violin.svg\")\n", "\n", "plt.show()\n", "\n", "f = plt.figure(figsize=(6, 4))\n", "\n", "sns.stripplot(data=[distances], jitter=1.)\n", "\n", "plt.xlim(-0.25, 0.25)\n", "\n", "plt.xticks([], [])\n", "plt.yticks(fontsize=14)\n", "\n", "plt.ylabel('Edit distance / nucleotide', fontsize=18)\n", "\n", "plt.tight_layout()\n", "\n", "if save_figs :\n", " plt.savefig(model_prefix + \"_edit_distance_stripplot.png\", transparent=True, dpi=150)\n", " plt.savefig(model_prefix + \"_edit_distance_stripplot.eps\")\n", " plt.savefig(model_prefix + \"_edit_distance_stripplot.svg\")\n", "\n", "plt.show()\n" ] }, { "cell_type": "code", "execution_count": 22, "metadata": {}, "outputs": [], "source": [ "#Load GENESIS models and predict sample sequences\n", "\n", "batch_size = 64\n", "\n", "n = 4096\n", "n_slack = 0\n", "\n", "n_ceil = int((n + n_slack) / batch_size) * batch_size\n", "if n_ceil < n :\n", " n_ceil += batch_size\n", "\n", "sequence_class = np.array([0] * n_ceil).reshape(-1, 1)\n", "\n", "noise_1 = np.random.uniform(-1, 1, (n_ceil, 100))\n", "noise_2 = np.random.uniform(-1, 1, (n_ceil, 100))\n", "\n", "pred_outputs = generator.predict([sequence_class, noise_1, noise_2], batch_size=batch_size)\n", "\n", "_, _, _, optimized_pwm, _, sampled_pwm, _, _, _ = pred_outputs\n", "\n", "pwms = optimized_pwm[:, :, :, 0]\n", "onehots = sampled_pwm[:, 0, :, :, 0]\n", "\n", "#Make predictions using black box model\n", "\n", "score_pred = saved_predictor.predict(x=[np.expand_dims(onehots, axis=1)], batch_size=batch_size)\n", "\n", "score_pred = np.ravel(score_pred[:, 0])\n", "\n", "sort_index = np.argsort(score_pred)[::-1]\n", "\n", "pwms = pwms[sort_index][:n]\n", "onehots = onehots[sort_index][:n]\n", "score_pred = score_pred[sort_index][:n]\n" ] }, { "cell_type": "code", "execution_count": 23, "metadata": {}, "outputs": [], "source": [ "#Save sequences to file\n", "with open(model_prefix + \"_4096_sequences.txt\", \"wt\") as f:\n", " for i in range(onehots.shape[0]) :\n", " seq = acgt_encoder.decode(onehots[i])\n", " \n", " f.write(seq + \"\\n\")\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 }