{ "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_w_dense_functional 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", "def get_latent_margin_sample_cosine(margin=0.5) : \n", "\n", " def latent_margin_sample_cosine(seed1, seed2) :\n", " \n", " rescaled_seed1 = seed1#(seed1 + 1.) / 2.\n", " rescaled_seed2 = seed2#(seed2 + 1.) / 2.\n", " \n", " mean_sample_ent = K.sum(rescaled_seed1 * rescaled_seed2, axis=-1) / (K.sqrt(K.sum(rescaled_seed1**2, axis=-1)) * K.sqrt(K.sum(rescaled_seed2**2, axis=-1)))\n", " \n", " margin_sample_ent = K.switch(mean_sample_ent > K.constant(margin, shape=(1,)), mean_sample_ent - margin, K.zeros_like(mean_sample_ent))\n", " \n", " return margin_sample_ent\n", "\n", " return latent_margin_sample_cosine\n", "\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', sequence_similarity_weight=0.0, sequence_similarity_margin=0.0, dense_1_similarity_weight=0.0, dense_1_similarity_margin=0.0) :\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=sequence_similarity_margin, shift_1_nt=True)\n", " \n", " dense_1_sample_entropy_func = get_latent_margin_sample_cosine(margin=dense_1_similarity_margin)\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_score_1, dense_1_pred_1, _, pred_score_2, dense_1_pred_2 = loss_tensors\n", " \n", " #Specify costs\n", " fitness_loss = fitness_weight * K.mean(K.maximum(-K.print_tensor(pred_score_1[..., 0], message=\"pred_score_1=\") + fitness_target, K.zeros_like(pred_score_1[..., 0])), axis=1)\n", " \n", " entropy_loss = entropy_weight * masked_entropy_mse(pwm_1, mask)\n", " \n", " sequence_similarity_loss = sequence_similarity_weight * K.mean(pwm_sample_entropy_func(sampled_pwm_1, sampled_pwm_2, sampled_mask), axis=1)\n", " \n", " dense_1_similarity_loss = dense_1_similarity_weight * K.mean(dense_1_sample_entropy_func(dense_1_pred_1, dense_1_pred_2), axis=1)\n", " \n", " #Compute total loss\n", " total_loss = fitness_loss + entropy_loss + sequence_similarity_loss + dense_1_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_w_adversary(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 [==============================] - 21s 215ms/step - loss: 7.3691\n", "Epoch 2/150\n", "100/100 [==============================] - 10s 100ms/step - loss: 2.9255\n", "Epoch 3/150\n", "100/100 [==============================] - 10s 100ms/step - loss: 1.3441\n", "Epoch 4/150\n", "100/100 [==============================] - 10s 101ms/step - loss: 1.1650\n", "Epoch 5/150\n", "100/100 [==============================] - 10s 101ms/step - loss: 1.0831\n", "Epoch 6/150\n", "100/100 [==============================] - 10s 101ms/step - loss: 1.0397\n", "Epoch 7/150\n", "100/100 [==============================] - 10s 100ms/step - loss: 1.0184\n", "Epoch 8/150\n", "100/100 [==============================] - 10s 101ms/step - loss: 1.0078\n", "Epoch 9/150\n", "100/100 [==============================] - 10s 100ms/step - loss: 0.9614\n", "Epoch 10/150\n", "100/100 [==============================] - 10s 101ms/step - loss: 0.9510\n", "Epoch 11/150\n", "100/100 [==============================] - 10s 101ms/step - loss: 0.9191\n", "Epoch 12/150\n", "100/100 [==============================] - 10s 101ms/step - loss: 0.9004\n", "Epoch 13/150\n", "100/100 [==============================] - 10s 100ms/step - loss: 0.8968\n", "Epoch 14/150\n", "100/100 [==============================] - 10s 101ms/step - loss: 0.8954\n", "Epoch 15/150\n", "100/100 [==============================] - 10s 101ms/step - loss: 0.9035\n", "Epoch 16/150\n", "100/100 [==============================] - 10s 101ms/step - loss: 0.8739\n", "Epoch 17/150\n", "100/100 [==============================] - 10s 101ms/step - loss: 0.8609\n", "Epoch 18/150\n", "100/100 [==============================] - 10s 100ms/step - loss: 0.8583\n", "Epoch 19/150\n", "100/100 [==============================] - 10s 100ms/step - loss: 0.8493\n", "Epoch 20/150\n", "100/100 [==============================] - 10s 100ms/step - loss: 0.8333\n", "Epoch 21/150\n", "100/100 [==============================] - 10s 101ms/step - loss: 0.8460\n", "Epoch 22/150\n", "100/100 [==============================] - 10s 101ms/step - loss: 0.8548\n", "Epoch 23/150\n", "100/100 [==============================] - 10s 100ms/step - loss: 0.8479\n", "Epoch 24/150\n", "100/100 [==============================] - 10s 101ms/step - loss: 0.8478\n", "Epoch 25/150\n", "100/100 [==============================] - 10s 100ms/step - loss: 0.8424\n", "Epoch 26/150\n", "100/100 [==============================] - 10s 100ms/step - loss: 0.8433\n", "Epoch 27/150\n", "100/100 [==============================] - 10s 101ms/step - loss: 0.8536\n", "Epoch 28/150\n", "100/100 [==============================] - 10s 100ms/step - loss: 0.8560\n", "Epoch 29/150\n", "100/100 [==============================] - 10s 100ms/step - loss: 0.8209\n", "Epoch 30/150\n", "100/100 [==============================] - 10s 100ms/step - loss: 0.8396\n", "Epoch 31/150\n", "100/100 [==============================] - 10s 101ms/step - loss: 0.8292\n", "Epoch 32/150\n", "100/100 [==============================] - 10s 100ms/step - loss: 0.8236\n", "Epoch 33/150\n", "100/100 [==============================] - 10s 100ms/step - loss: 0.8091\n", "Epoch 34/150\n", "100/100 [==============================] - 10s 100ms/step - loss: 0.8053\n", "Epoch 35/150\n", "100/100 [==============================] - 10s 101ms/step - loss: 0.7950\n", "Epoch 36/150\n", "100/100 [==============================] - 10s 101ms/step - loss: 0.8027\n", "Epoch 37/150\n", "100/100 [==============================] - 10s 100ms/step - loss: 0.8094\n", "Epoch 38/150\n", "100/100 [==============================] - 10s 100ms/step - loss: 0.8099\n", "Epoch 39/150\n", "100/100 [==============================] - 10s 100ms/step - loss: 0.8048\n", "Epoch 40/150\n", "100/100 [==============================] - 10s 100ms/step - loss: 0.8113\n", "Epoch 41/150\n", "100/100 [==============================] - 10s 100ms/step - loss: 0.8316\n", "Epoch 42/150\n", "100/100 [==============================] - 10s 101ms/step - loss: 0.8272\n", "Epoch 43/150\n", "100/100 [==============================] - 10s 101ms/step - loss: 0.8125\n", "Epoch 44/150\n", "100/100 [==============================] - 10s 101ms/step - loss: 0.7916\n", "Epoch 45/150\n", "100/100 [==============================] - 10s 101ms/step - loss: 0.7760\n", "Epoch 46/150\n", "100/100 [==============================] - 10s 100ms/step - loss: 0.7759\n", "Epoch 47/150\n", "100/100 [==============================] - 10s 101ms/step - loss: 0.7726\n", "Epoch 48/150\n", "100/100 [==============================] - 10s 100ms/step - loss: 0.7753\n", "Epoch 49/150\n", "100/100 [==============================] - 10s 101ms/step - loss: 0.7534\n", "Epoch 50/150\n", "100/100 [==============================] - 10s 101ms/step - loss: 0.7569\n", "Epoch 51/150\n", "100/100 [==============================] - 10s 101ms/step - loss: 0.7624\n", "Epoch 52/150\n", "100/100 [==============================] - 10s 101ms/step - loss: 0.7535\n", "Epoch 53/150\n", "100/100 [==============================] - 10s 101ms/step - loss: 0.7547\n", "Epoch 54/150\n", "100/100 [==============================] - 10s 100ms/step - loss: 0.7519\n", "Epoch 55/150\n", "100/100 [==============================] - 10s 101ms/step - loss: 0.7582\n", "Epoch 56/150\n", "100/100 [==============================] - 10s 100ms/step - loss: 0.7555\n", "Epoch 57/150\n", "100/100 [==============================] - 10s 101ms/step - loss: 0.7582\n", "Epoch 58/150\n", "100/100 [==============================] - 10s 100ms/step - loss: 0.7529\n", "Epoch 59/150\n", "100/100 [==============================] - 10s 101ms/step - loss: 0.7543\n", "Epoch 60/150\n", "100/100 [==============================] - 10s 100ms/step - loss: 0.7472\n", "Epoch 61/150\n", "100/100 [==============================] - 10s 101ms/step - loss: 0.7407\n", "Epoch 62/150\n", "100/100 [==============================] - 10s 100ms/step - loss: 0.7369\n", "Epoch 63/150\n", "100/100 [==============================] - 10s 100ms/step - loss: 0.7533\n", "Epoch 64/150\n", "100/100 [==============================] - 10s 101ms/step - loss: 0.7320\n", "Epoch 65/150\n", "100/100 [==============================] - 10s 100ms/step - loss: 0.7394\n", "Epoch 66/150\n", "100/100 [==============================] - 10s 100ms/step - loss: 0.7442\n", "Epoch 67/150\n", "100/100 [==============================] - 10s 100ms/step - loss: 0.7424\n", "Epoch 68/150\n", "100/100 [==============================] - 10s 100ms/step - loss: 0.7424\n", "Epoch 69/150\n", "100/100 [==============================] - 10s 101ms/step - loss: 0.7319\n", "Epoch 70/150\n", "100/100 [==============================] - 10s 101ms/step - loss: 0.7286\n", "Epoch 71/150\n", "100/100 [==============================] - 10s 100ms/step - loss: 0.7288\n", "Epoch 72/150\n", "100/100 [==============================] - 10s 100ms/step - loss: 0.7324\n", "Epoch 73/150\n", "100/100 [==============================] - 10s 100ms/step - loss: 0.7323\n", "Epoch 74/150\n", "100/100 [==============================] - 10s 100ms/step - loss: 0.7440\n", "Epoch 75/150\n", "100/100 [==============================] - 10s 100ms/step - loss: 0.7348\n", "Epoch 76/150\n", "100/100 [==============================] - 10s 100ms/step - loss: 0.7373\n", "Epoch 77/150\n", "100/100 [==============================] - 10s 100ms/step - loss: 0.7250\n", "Epoch 78/150\n", "100/100 [==============================] - 10s 100ms/step - loss: 0.7297\n", "Epoch 79/150\n", "100/100 [==============================] - 10s 100ms/step - loss: 0.7485\n", "Epoch 80/150\n", "100/100 [==============================] - 10s 101ms/step - loss: 0.7398\n", "Epoch 81/150\n", "100/100 [==============================] - 10s 100ms/step - loss: 0.7438\n", "Epoch 82/150\n", "100/100 [==============================] - 10s 101ms/step - loss: 0.7276\n", "Epoch 83/150\n", "100/100 [==============================] - 10s 101ms/step - loss: 0.7224\n", "Epoch 84/150\n", "100/100 [==============================] - 10s 101ms/step - loss: 0.7390\n", "Epoch 85/150\n", "100/100 [==============================] - 10s 100ms/step - loss: 0.7384\n", "Epoch 86/150\n", "100/100 [==============================] - 10s 101ms/step - loss: 0.7397\n", "Epoch 87/150\n", "100/100 [==============================] - 10s 101ms/step - loss: 0.7423\n", "Epoch 88/150\n", "100/100 [==============================] - 10s 100ms/step - loss: 0.7313\n", "Epoch 89/150\n", "100/100 [==============================] - 10s 100ms/step - loss: 0.7283\n", "Epoch 90/150\n", "100/100 [==============================] - 10s 100ms/step - loss: 0.7289\n", "Epoch 91/150\n", "100/100 [==============================] - 10s 100ms/step - loss: 0.7334\n", "Epoch 92/150\n", "100/100 [==============================] - 10s 101ms/step - loss: 0.7468\n", "Epoch 93/150\n", "100/100 [==============================] - 10s 101ms/step - loss: 0.7479\n", "Epoch 94/150\n", "100/100 [==============================] - 10s 101ms/step - loss: 0.7293\n", "Epoch 95/150\n", "100/100 [==============================] - 10s 100ms/step - loss: 0.7389\n", "Epoch 96/150\n", "100/100 [==============================] - 10s 101ms/step - loss: 0.7314\n", "Epoch 97/150\n", "100/100 [==============================] - 10s 100ms/step - loss: 0.7463\n", "Epoch 98/150\n", "100/100 [==============================] - 10s 101ms/step - loss: 0.7356\n", "Epoch 99/150\n", "100/100 [==============================] - 10s 100ms/step - loss: 0.7278\n", "Epoch 100/150\n", "100/100 [==============================] - 10s 101ms/step - loss: 0.7445\n", "Epoch 101/150\n", "100/100 [==============================] - 10s 101ms/step - loss: 0.7384\n", "Epoch 102/150\n", "100/100 [==============================] - 10s 100ms/step - loss: 0.7165\n", "Epoch 103/150\n", "100/100 [==============================] - 10s 101ms/step - loss: 0.7296\n", "Epoch 104/150\n", "100/100 [==============================] - 10s 101ms/step - loss: 0.7391\n", "Epoch 105/150\n", "100/100 [==============================] - 10s 101ms/step - loss: 0.7336\n", "Epoch 106/150\n", "100/100 [==============================] - 10s 100ms/step - loss: 0.72011s - l\n", "Epoch 107/150\n", "100/100 [==============================] - 10s 100ms/step - loss: 0.7230\n", "Epoch 108/150\n", "100/100 [==============================] - 10s 101ms/step - loss: 0.7191\n", "Epoch 109/150\n", "100/100 [==============================] - 10s 101ms/step - loss: 0.7367\n", "Epoch 110/150\n", "100/100 [==============================] - 10s 100ms/step - loss: 0.7622\n", "Epoch 111/150\n", "100/100 [==============================] - 10s 101ms/step - loss: 0.7557\n", "Epoch 112/150\n", "100/100 [==============================] - 10s 100ms/step - loss: 0.7304\n", "Epoch 113/150\n", "100/100 [==============================] - 10s 100ms/step - loss: 0.7404\n", "Epoch 114/150\n", "100/100 [==============================] - 10s 101ms/step - loss: 0.7346\n", "Epoch 115/150\n", "100/100 [==============================] - 10s 101ms/step - loss: 0.7241\n", "Epoch 116/150\n", "100/100 [==============================] - 10s 101ms/step - loss: 0.7271\n", "Epoch 117/150\n", "100/100 [==============================] - 10s 101ms/step - loss: 0.7270\n", "Epoch 118/150\n", "100/100 [==============================] - 10s 101ms/step - loss: 0.7264\n", "Epoch 119/150\n", "100/100 [==============================] - 10s 101ms/step - loss: 0.7413\n", "Epoch 120/150\n", "100/100 [==============================] - 10s 101ms/step - loss: 0.7280\n", "Epoch 121/150\n", "100/100 [==============================] - 10s 100ms/step - loss: 0.7322\n", "Epoch 122/150\n", "100/100 [==============================] - 10s 100ms/step - loss: 0.7205\n", "Epoch 123/150\n", "100/100 [==============================] - 10s 100ms/step - loss: 0.7215\n", "Epoch 124/150\n", "100/100 [==============================] - 10s 101ms/step - loss: 0.7207\n", "Epoch 125/150\n", "100/100 [==============================] - 10s 101ms/step - loss: 0.7171\n", "Epoch 126/150\n", "100/100 [==============================] - 10s 100ms/step - loss: 0.7229\n", "Epoch 127/150\n", "100/100 [==============================] - 10s 100ms/step - loss: 0.7218\n", "Epoch 128/150\n", "100/100 [==============================] - 10s 101ms/step - loss: 0.7280\n", "Epoch 129/150\n", "100/100 [==============================] - 10s 100ms/step - loss: 0.7168\n", "Epoch 130/150\n", "100/100 [==============================] - 10s 100ms/step - loss: 0.7158\n", "Epoch 131/150\n", "100/100 [==============================] - 10s 100ms/step - loss: 0.7084\n", "Epoch 132/150\n", "100/100 [==============================] - 10s 100ms/step - loss: 0.7143\n", "Epoch 133/150\n", "100/100 [==============================] - 10s 101ms/step - loss: 0.7067\n", "Epoch 134/150\n", "100/100 [==============================] - 10s 100ms/step - loss: 0.7222\n", "Epoch 135/150\n", "100/100 [==============================] - 10s 100ms/step - loss: 0.7190\n", "Epoch 136/150\n", "100/100 [==============================] - 10s 101ms/step - loss: 0.7153\n", "Epoch 137/150\n", "100/100 [==============================] - 10s 100ms/step - loss: 0.7223\n", "Epoch 138/150\n", "100/100 [==============================] - 10s 101ms/step - loss: 0.7370\n", "Epoch 139/150\n", "100/100 [==============================] - 10s 101ms/step - loss: 0.7336\n", "Epoch 140/150\n", "100/100 [==============================] - 10s 100ms/step - loss: 0.7175\n", "Epoch 141/150\n", "100/100 [==============================] - 10s 101ms/step - loss: 0.7384\n", "Epoch 142/150\n", "100/100 [==============================] - 10s 101ms/step - loss: 0.7373\n", "Epoch 143/150\n", "100/100 [==============================] - 10s 100ms/step - loss: 0.7300\n", "Epoch 144/150\n", "100/100 [==============================] - 10s 100ms/step - loss: 0.7297\n", "Epoch 145/150\n", "100/100 [==============================] - 10s 101ms/step - loss: 0.7234\n", "Epoch 146/150\n", "100/100 [==============================] - 10s 100ms/step - loss: 0.7069\n", "Epoch 147/150\n", "100/100 [==============================] - 10s 100ms/step - loss: 0.7216\n", "Epoch 148/150\n", "100/100 [==============================] - 10s 101ms/step - loss: 0.7172\n", "Epoch 149/150\n", "100/100 [==============================] - 10s 100ms/step - loss: 0.7026\n", "Epoch 150/150\n", "100/100 [==============================] - 10s 101ms/step - loss: 0.7105\n", "Saved trained model at saved_models/genesis_dragonn_max_spi1_25000_updates_similarity_seq_margin_02_lat_margin_09_earthmover_weight_01_target_700_generator.h5 \n", "Saved trained model at saved_models/genesis_dragonn_max_spi1_25000_updates_similarity_seq_margin_02_lat_margin_09_earthmover_weight_01_target_700_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_seq_margin_02_lat_margin_09_earthmover_weight_01_target_700\"\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", " sequence_similarity_weight=5.0,\n", " sequence_similarity_margin=0.2,\n", " dense_1_similarity_weight=5.0,\n", " dense_1_similarity_margin=0.9,\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" ] }, { "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_seq_margin_02_lat_margin_09_earthmover_weight_01_target_700_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_seq_margin_02_lat_margin_09_earthmover_weight_01_target_700_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 = 75.150894\n" ] }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "score_pred = 63.788395\n" ] }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "score_pred = 76.960175\n" ] }, { "data": { "image/png": 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OeAboio7yfQ+UOuc2ikgotF7AXJ+vfYAPgOnA8UAesKs/vhqoAP4XaA7sBtzqnHskzX2PAN7JUjQHOOfezVJuUcOtl3Nudpa0DMMwDMMwDMP4D6DJhko65yqAM1CjZxfgIjR0cqaIDPHnTAPOAqagI2iT/N8PTJPkKcBxQCVqPP3eOXcyGn4p/hpRnnfOjUJH3JYA3YCD0qS7O2q0rQW+8J8zgALgNHR0sBlqTD0HXOecGwA8nuG+33XOSZbt3QxF1mQRoZMILSP7O2Q5t7sIzRs9EwnpQ0Ikw7GuJKRFo1+zoSSkiIT0yHBMSEjfyH4bEtK5Ea7ZnIT0bMhfReiyDZ9ZvWWUCEUiWx9OLUKuCNtH9ktEaJ3h3OYidN/aazYq2ev8diSk0H/PISF9GvGaDXlmhY3xzOpFQgpqaWeNUyap6eaTkF4N+asIXUUozJBug+WACL1ESF9P6pdOtyAHRJBa5Pz2Iho502gE2Zi5zvcgIdtCTmW+ZhZEaCFCpwxpNiMhpQ3JjggdRWjVkP/G0mklQsfI/vYi/8dRWtmeWULySEjB/2l+mhpxfaDm8V4kJN9/zyXRSOtDNLzOtxahQ6Pkoa4kpCUJqe5bfF8t/lizRiuTmtfdZvZVkzXcAJxz/wQ6A4cDN6IGVCfgNwAi8jPUWPoD8Gvgx/6v6SrGFOdcJbDe73/rP9f6z7jiPsXnoQIdrQPSKmY9/Wcr4AK/Dfa/lTrn1gH/gxqHL6KG5zxg33T3LCKlInJnlq1BwnxbImeKy7hpR/5v4J8AIowAZopwYo10hLbo87w7W7rxY7VmMCH7A9PQOhQ/1g413t9q1IYmsj0iSxBvEIpchsjfI8fHIXKE/z4Uke8i/74fmEZCBqRJ+efAtyTkLC84nwYmk5BuiLRBZCki3Xy6ZyLyXB1zfCswnYTs5f87EZGD/Pd9EZkSyftdiPxOv9IaLb97oX7PRYScFMVF5AxEdgQgIcPRZ3ZLtvqV4Zr3ABNEaI1Ini+TGu2mDulcBEwXob9XMt8EXs6g5N4MTBKhU7Z00+W/zoj09vfS3O9fgciYyPEvETnEl98RvvyuqpFOQjqiUQwv+zp0KlrfTvfp/C8i5/vv7f010yuYqenu5a95m//vbxG5O5K/SYjs77+PQOSbyL//Ckz0MiCebgsS8jMSkldrHrTO31vrecpdwAwSsqs3NF4V4Tp/7KdomWQLW28IN/hr7lefeuIdX+OAh2qkmCoHutY1XQARdkSf2a/RH65B5L50Ga8lf21Q2R3+OwqV8zWcnSL0QKcf/L4BbTsbx6H9+gVpyqi7v+aTdUin7iTkIH/N6xtwLw8Cn4vU0D3Ayx4S8pN61pM84F3UyQ0ieyMyLV3W65C/R4HPRCgQoSsasVSzDwVEuFeEv9Wav/r1211RZ/yzJER8G+3ojwnwAvA1CdlqI/UHR+QiRPr578MQmRU59kdEbo7sz0Mk6Ji/QPWBM2ukqYb/FOAx/8slqOwZ6dN5A9WhQaSfl/O1G+YJORqt85f5//4Vkev99xxEFiNedxEZhUg0gmws8ElaR29CepOQ67eBMT4WmEpCeopQ5PP+W3/sHLRMTtjai4gwotqxkZDrgbkkvC4WRQ3og0hIgx1XTdZwE5E8ERnunNvonHvNOXcNqhwB1d6kUNj3o6NoYT+dYrWllv04O4Z8QLXncH6a82b7z4VAQRgZA4pIzlV7xDnXDQ27vAA1AH+T4brdSRqA6bam5dWvnWOBUtT4Brjcfx6e5tzTUaP7iEbOQ1BejwcQYbQIn3uv5BlAR2AY0MMfb9MI1+yI3kux3++BhtYG+pBcZKcz0BORfBKyPXAyOmL7ozTpXuM/RwFD0VHgdugoc4nfguOiO2T2elejxuu56JzXYxARoK/PV8hfH/87qLNiO//9VNSZcmSt16nJecA8kerR7quB4f57eGaj6pOgVzBOQct/MFr+JX6/PunkoB1THlq2h6Oj8vsQc/L4enQe0BrYuz7XqScd0XsJdWo7ko4jSK1TV/vP49Okcw7QFhjh0wrnhrLegaSc6UBqncrGlbFrJvNXs051wdcpb7yf5q+zW5p0bwQSJOt+EpEuXuFo53/pg86Nzo56YEejizqNRNvaYQQDJnv5NYyEtERleA666FZ9OBntP9LJzWGkyoH6cDHa7oPMjdepunIqWj9DOlf4z8PSnHse2j82tpxPeWZ+hHKI/+18dNrFyDDS7I2craWhcqonqq90AwamHFSFLrSl4+qZn6NR3eUgf3+dgVKkfkqiCP1QR/j2QH+0f2hJmmcmwkDgbOBMkWrZ1Bich+p6R6Ay9wRgkQj7o3L2cFS3OMjnY7eMI9JNnytIyr7OQC+k2lHVE3zkh0gRKpuDIy0uu6NcjOrFx5OQXJJtMtSpUlSmQLJvaV+HvMbrfE+S+kBbn1bob7v56yDCAOAotH9JF83wAHAtcGkd8lA3ErIz2iZaA4eiOub2wC+8oz5b+dUZEY5CpzhdSUKK0fbbjeRUrCgXoU7g3zb0ek12cRK0wn0g6un/Eg2FDJ3dG/5zsf88ElWwGqI8ZuJoEXkKrdgdgQXoPLs4nwMfo/PgxonIR2jD2x99QA8Di0XkXZ/Gzv5/q9Jd1IdCNihsxc/Py4/8dLuIrAMucc4ta0iajUC1IutHKrIpto2v9Kpnbp9IHpoDt6OL2RxK0lAIx48E/iXC8c7xtA8zaE6ZW0v9KI58zvWfxf4ief76xbFz25OtDBLSgVSBt0/sjHh6xZHv2RgKKWFLRWj7i6bTjOQCQNE043nISIqXdYzLRRXxYBh9RTA8Y8+snuwZ2w95LalnOn1i/8lWN3eHRlECayP6PBaQWqcKUOWmxHfSw7KkEy3bjtQ07qP1Jv6ZjXT1MfyvFdrfRNPL93nek0wyT8OkRvu9dAZZJ5KG+UqSzova2Cu2f6j/zCUhrUnK6cZkD1Llc33IVv8a2lbSpVtXmZExHa88D67LuVtDVJ64A2iJzikPechBRyF3E6GvG1tDzo8CHhXhAOf4tEEZUMWvofeS+j91bOQClYylP3VToGtPV5+loAr18q1IJ9t9HhL53pg65fDY/rXovRwGrIv8LiIMAz5CVx8fzX8SIjnocwrOsag+sNjvb/K/lVSfU1MfiBOVCwOghkM6k5xfkjFFlcdDYr8WA1Vp0gn5Dd+z6TbdgQP8Xu2DEyKHAwU4V1tEUbwOjQgpoP1e7ZEkdeN8/zkYjaYL+kAzL4seBD5zY+U+1KCGrZCDTXbEDdiIrvq4CTXIfo4qjb9Hw7oArket3A6o8nRTI17/HlR53RUNARnpnCuPn+ScqwKOQUNEWqOex8HAS8An/rQ3UG/KGWgDeomkZ7cxOQX4WWT/OP9by/SnNw7uASfhM2yR30vRUNar0EbcGn1WX6VJqhS4EA1hqpFu/LfoZxY6o8rhEOB5/xkEWI6/5mUkG9Pv0EZ9qFeAXwfmZQhbzEZJms/wvX2Wc/qgHdAAkmG9gT7oIjy9gfF+/3lUCd2S8ZrJkbJM9EFDUvqgnXu6dDLdSyi/v0C9nktvtN2qMqHhf638bx3QejIMeCZar+pQF0rR8tsvlucaymgd0lmEeq/X+f37gF+luZdStPx2ByqzpZvuez3I9hyiHWZP1NDemaSTK0ofdNTtGrTzWo8+jy/TpBv/TE9C2pN0PIRwtGzpRD9LgU+p2ckC9EPb79voglEhtLinP94h9llXw60P2oZ2BNago4GPoSN7fYDN/tof1yGtutIHDUvsDSyurZ7E6nspKkP/kCHd5/ByoK71zysUvdH+9TWfVsbyq6Uel6J92p1onapEy3ZOmqRKgZOAJzK1iQbI+VJ0AbB+aGj+HqhDIB/1sJeio7q3LFjZBbQcC9ERgIbSDY2MGAy81AA59Q66oBqoYbUZfR59UIW9FzCjLvUklu6dJEctMrbfOuTvNZJRH6VoWN7YNOXQD22fd9SWv3o8z3DNM4Gbzhpzf1u0Pq3wx/qioZI/9fvno/25Rm8k5BQSMoGE1D76/sPTFpXXdelvowZRH3RAozc6gJBEnZ+l6EjSnf7chWidmhXpb+sn55NRQzuRXEQvm5wvBgr9SGEpqvsekybdnVGZMYYg56OI9EXk/Ygu81PUJkhzKm1EuMGH1ZaiOtweqHzog9oNT/jvK1B5NTXrXWfBD0gMQUOxt6DtYQo60leBRgCcikaOdEd10q/CfYpwqQj/qE8EQJMdcfPz0S6u5ZwF1AwNuStyfDYxT65zrm1sf0SG5Jc759IpafhQyOj+UnQeW6Z8Nl64TRbi+WoilKKesumo4J3qHF+IMCt6kq/8vYGnqGmwbO31J1PmxpOQ2Wj4x0TghPzcTX39NccCy/729pltUQP7bVSIHIaOnIIqRZOoOyXo/MmoIMvzgifdsbBfCjxJmZtMQhanJuk7+zI3i4T8EfgHMIYy9wkJmY52svF0N6GGe7YRw1LgGcrcDBLyEKr4Z8rfDPxoXOSZPYkuIlQf+gEz0TChw3zaFZEymEaZ+4yEzKxnuqXAc87xgZ8vdVDsXuqTzuvOMVWERWiI22WoIh8Psy4FXkxXrxuZdPUmP02dKgXGU+a+ISGpir56THugK9xuQpWxt3yd+pMfDRbSP/tslAIzKXMfk6ieU6P5y5z3aH6fd44P08xx6wtMpMwdREKCEvlXVGm7gWRITvgsAXIRycW5ShKi9arMxetnKfAUZW4qCVmGGuTXoeHww4EPKHPTSMhttdx3fSgFnvNl/UAD/vs06b3hpcADETlQV7qhdeB1kgZq9Jkhwq7AGucy12svB7Q81QjeH/g40nai57ZEjexnoVEXNCoFPvTP7FZUsVsMvLJHr3Et0DDSJ4D8ETe82wFV1j7JmFrdrzmRMjeBhMxrwH+fc463fJ0PIWtd/LFXKHOzSchdGVPInO6t6Ltvq0htZ99m+V+6dJ4BXkFHJbr4/XTKpdY/VcrrNRiQMmoaNeZ0sbCOqJzKeeHzo3dBlezuaD+3H3A7Ze45vyjPH/z1K0hIG9TJVgD8Eg3zbMp0QI32qPMpKiuLoDoENC43o/pAlC6oYfA8OufxTOAlX6fuRg2qTPI4hdjI9kjgU8rclEjfEo3OqU3OP4Ou9RAf/evr83emn98eZwd0JKsdWg86p0kj8Fc0tLwN6rT5B2Xu87UPtprtjz2Iyr0TgFcpc9+RkD9nSKsulKBG8H6ogTgKeJwy96IfSbwRfb5VqN4zH9UzjxOhL8mBqDugbqP/TXnEzfjvoCMwwzlWhe8Afj9KIepIWJDmWFZqmQDdEfVyQ5lbhgqIF51j6j2nnfMZqoQvpMxt/uWDf+sKLEXDph5ERw+moKNw9aUENVaDAGuHvlKidZpj0f1ofuOhLfFj8f1s6Waj7uno5OXNaAeej3Yqc52r/d2BMW9rH+Bt59iIdrjBKKytDGqjE6l1LOVeROgswvmSYXXICPG6GurxBueqw1YyXbPx0FUad/R78efSGq2vRWSuQ/EQ6WJgGWVuFWWuHPX2Rsu6GDWot7YOgdaPjd4YrK3OZyq/3uhrVgBe9p/d/Aaq7CwgVemZBbQjIf1QZXU2CQlzMNLld5lPb4pzfJ/hXhqDBqXrDaP2wHcZ6ldD89sRmOUcWyLpFgFrECkQYXdUkRiXYUGeQHNUSZ5fBznfAfjeOcq3tq3E5Em8DHZEZfjoU/d/eAMwjzJXTplbPX1R337+3L1R2dNQtqaexMsoGG5hasZWpesca5yrjsKoS/uN08mn41BZv9g51md4Zl2Byc6x1rl6O/Ay0RH4njK3njK3dvGazj2BD5yjHDVGOuNHSeQktxIdCToDnce1NzqC9QTJEL6MiLCvCL9Nu2DG/w0lZJK56pQTkrp6fXSFWZS5ym2qK6hs30Sqgy6rnHcOl6Ye9QQ+898/THPdrrHPziTnS1fjR61Goa8BK4zmt/XotRVoWc53jiVk7yfrQ2+0/i9HI1y64hc3pMzNR53TZ6JOhN7Ae5S5KtQRdzAa4p/tFWA1MMPN2NbkkJzPV0hyXmKcQrRzaOwXCxZCite3GN9hnjHiIYBFlFW/zHAHYJxXZL5A59TcSpm7DvhXPa8bF2A5wDKSYQWZhFs8v9nuJb4fT7ctKsBnE5TWAAAgAElEQVTSetEixm1t6UT326OCpmpXvmwJLHGu9s4xDW183nCOSlShm+Y/s5VBbcTrWHXefWjYa8Cf0ZDc2tKJl3XWutug3GYjIUPR0eFJJGQI6Tv00Ak3Zh1aSHI0JGOHnrUO6WIIDvWOFqdJJ57fTOXXirAAVJlz3nFQQnIeREdUgQsjbvk+HyXoKGkB6pzpqtmip18htDq/3iipcI41kTJZmCE/W0ND63UBsNI5KrKk25D8ppZ7MgwpPLPRqMyqbX5vIalyoLb61/htpeY1ewBfOseWcw+5ZyWp5dMb+MgrkDVG3UToIMLf/YID9bnm1uS3C1ruXdi6+tccdeYEovKvmQhPifC9SNa5USF/iyPfs91nEeo8qTdZQifj12yLX93bt4PCyDW7AwudY7FzfItOb/kHZe5EkqucpsUvpvIKOtqebjGwJPr6gYdJyCds7atCwhqZSgna96WTjW3QUeyNiBSydXI+WqcaarjF063WByKyuSFyviUhrDqpj0Xpgk4TCYtvtQVyEBH01TafkpDn+3WZuis6tSE4bqL5LUTriYvsN7T9Rmkd8u5lYCHqpA/0A15FowxaE94trcbbrmgo6xHUo8032VDJHwrn3KloPKqRAa/oHIPWn6czGVteQdoSayg15gnW4VhWgtCXM8XV+K7L5Jb7d3XsBK6QZMdW6I+1Afbbrnh257nLt58bSboLMAGAMld7A9d5N6txbiWq+EwFin1890ZUyQ4TgqeTnExfjHpciiN5OhBYTpmLzgUsBFb7uP2OkXOPRD12Id3evlMIxmJtiw2EdPZFn0FIJ4z0FKNLkYe8rwBkBO92mcDgBj0zanb2weu4cyQ/vYEBlLkX6pFuvB6FexmExuWXou9+rE32xdNpDjVG2jKd21icjRpuE9EOshhdkrsYnfe1npp1Klp+/YAdKHOvxPK6wc9JG452gEtIyC4+jS0+TeeNr5Du9mQnXHMHYCDN+YhNrCRpBIR0wgJSxWh4XrLOe2KhOX9CF/cJdEZH0aIjblOBDl5xqPLXLEFDa05EPbktRbgBXUUsdOjlJGTEpFt3LB9w2eTo8ysE1vt5rV3lJPcp2un2Bka4sbIIXS1sOmXuA+pOuOY+aPjmZ7X9IfK/DXVIV+VAmatrSFy83gYlMdSpvdF5YTPqmc42kfPxJeRjyn4ogwFAd3AtSCpP4VgHYFjrwlXFa8rbpJt7F7gPXQ25P9kddiHdPkA/ylx9nHvxcuiKznvpGkl3D6CwrnXM98sSc6QVo3P0i9G2d6S/TinaHuuSv4ztU3FLaITpDdF0d2sJnw/hPR/qvGebwpXtVpe3XRE5vQiVYyNO3CuR+4+PfxZd8Xt7dJ4zlLnapjccihoeNwBVfkXPE4GllLnXY+eeiK4ZsAkNi6tPWHKc20lOEwhOy6hs/Iqk3FxOMhwxGEL7oM9lldcHOlDm3oqkH+pQF3T+VUu/PxR1bhWjIXthMa9iVNdRXUH7g12A590DTiL61CU+nf7oKOccn78cNKooyPk9fLptUMdbbXJ+LLDWv/JFKHObY+XVFQ3/7RpZIXWdv68bfF53addi5atomPYm4GMS1eVw6E0nXLHlqidujtbTcGw3oCVl7n0ahj6H1P0NJGSXpWtK1sPSKmCpczgSFMXO3R7VoTeR2s9lxUbcjIZwBvAI6inItsx6AanKbjblN35uYxHS/TE6gT8YUdH89ARe6NtlWh9SV6tqiSq1hV6g4L2W1cZh7J00b5Oclxn1NAXhGxTKElSpKEpzbsjvPdScNxmOnUUyhn8TOtfthFg62rGFa6pX6nES8k8S0iPm6Qzp/AGd1F6CeoXCfKMwShnyvhxY0ZlFndGwyYZQSPI5gHZeS9CwnJCfkWhYTH2I17FomewJPOMcD6BzMrIRr485WUaDs9XrrNTyXqN9gbMpc2ei4YLRe6l+DpH9uahHL+T9RLRupLuv/iRDjjahde0en84KtHNpl3JNfWH1gyRkKgkZnaEO/Qh4nhw6+nSiI4IzSS7M0x71oEfrPJH0wmcR2rneR0I+Qb3rUyLpJA23pPc3XLMX8CZlbrGc5Bajo6yjUaUoXPMvrQvW/IrUehyOnY6+N+00kvNtOvsyvQ14bfqf+uSLcKsIs0Wo8c6tDGV/I+ner5eZmrJRZCQiL8aOBzlQV9K1lWid2h740Dlm1RIJEU8nJb8pZTJy7/E17qWOpFv4I801T0FXFgzyLxzbjDrKXuzUZnEXUuV8NSLko8q8zqHKTrjmcej8vvoQf6Zd0HrZJXLsMtIvRpOJZtScfxuVGQej82n2RhfmyUb0mdbWNxfS8H6gmmi7/3wIw32ag4AXO7Vd3JXU/iKPMlcJvHXIwDdGkmo4tiQ2Auj77XTOuqHA/c5xCzoqcjuq27xCQnrEzj0cXRyvM+pA2xoGoguQgT6bOVAdvh+X83E5GtcVfknNkcVwbBgq59v6/SvQRfxCWxe/qmVUzu+Ozv+8juQrBOLpngQ8HslftB+KRoXkRPKerR4V+WPPkT58uStqWHYl6TxeQi6d0fY6Ahi0eHWnXFINoHDNR4fsMO5E0sv5i/AL6zSQqE4Jyfbwv1Uu52pgbUR+6rkJuYGEjEPrar1H181wMxrCGWgccT+yL0pRQerIRnw/27mNRTzdEMJV49jmyvw8/1ugBeohmgNcL8K5qGL4HsQUTJEOaKMc6v9bm/BdQXJUoyXq/SpJk99s9xLfz3bNB1GB9jTUmN+VLh31oqnwzUdDHFLS7cV3bUh9jUB9iCte4ZqbvU+uoXWhtjKZCtXhmfVJJ5vi2uC6W8sqax2BiX6FsHJqr1PLfU7rU4cqSf/s0ykKp6JOjl9QMzQqNd0taQ3LpejCIYLWm6XUXudDuTdHO8Ru/tqVfmW0jugIXEeSHfpyWtAJ7UyrSMiPDxzw1mHAeOd40Dnuil4zP3ezI7UvjOfnQOAa57hy6X0l36EGdSnQf5crvxqKGsiXAlU1nqe+AL7U33ND60m6/40EDkCkRyOmW12nNpPXAR29qctISt3lfE4FDcxrffOQD9VtvIKInKrckptPVM4nJIeEHEhCftS704wdgXnO8YFzPF3Pa25NfqOKaUPT3UJNna4AVQxL0HdtfehDRJfG/5wlfyn5SbM6ZGWa624tlUT7lprSt8q/joHyisJcSJHnLdERj8dJyKMi7Ik6BRf4FzBH6YiO5ODGSiUq23ZDdZu4cb8j8LSfH/ypCL1FuFGkQRFapcBSRNoTld0qJ1qQ1AfSydHgVK1ZT0QuQeQnaY5lauur0VGxqJw/HbiBMtebyGJ/WdKJ9xfBydsKLcNwrEY9inxWEdcJRP4XkaP9Xoh+6oIazouBxfSkFK0nn1Lmpn23dIcqUo34qJyvIlVfScmPCJ1EuF+Ex9IsklUfquvu2vJWuaQ3VsOKnlpX60mtjU1EZouIE5EfR3670//2cH0v2JQRkRH+vtJtp0bO215E/iEiy0Vko4hMF5HjsqRbICI3ich3/vxv4ueLSDMRuVJEZojIZhFZKiIPRY7niMhvRWS+iGwSkQkicmTk+KEi8qaILIrk6QqpfSn4hrADOkdgvV9cIhMVpK5CVY52JOnIdmxrCOl+679vIDl/p9x/Xw3MaZ63aROpK51txjfs5eva56IvTByACvc4Q1BvUV8vfItRoRWEWTnaoMM+qIApRtthTuS85oQQzZr3Ej0W9qPLuEevuQGoQihBPW/X+//EO6R4uiWoEN1M8h0tIX8l/vdNfZjegoY/sw2x/4ZXAyxnObk+P9Oof1hVvB6VoIKzFfUTkvF0KjJ4bNOdu/Ukqr2VeWj5/xLtrIMBV4IaJvE6Ve5nJDVHV0GNe8JDXpejykGo89FnvyV2nbAq2DDgfn9e3GET6tB0YD1V1eW+OZKO+LSLUdkQrfOZym8DqXMjuqOG20JUye2Atu3wovD1wCaa08lfuw3w7I5dpwwndWn66rbTunBNZez6IT9hyebO+HDBklbLe6LtLQ/YJTencgTwiHM86Vza0eHDfJnsTs32WlfSlc/e6MjAvpHj6WRGfdINdapiIwUdqcPCDhnSSdlPUdCeH7cz207ON0fDiquoKecL0Dq0KK9ZRVzO/wk1vA/48e7P7Q1UrxDpR2quFuE5EfZAJB+R6YicFbnmVMjaD2bKb7QcoiNuDXqe3qufNHGSL3AO7awNdV/9N5q/2uTbtui7w/NbAizMy63YSOozC2X/dauCtRWxY8GADa+WuRHtu9PpaK2hem5reBfkZNSoifeTbYEFJOSCZfeXHIiuxjoLanUCpiISVnT8Bh15C33fGpLvTI32txWoLA3ROzlAPi7Wb+vI2a/RiJzwTL5Hp0tsJLVOlaB1ZT1JI6vCf+8NvEtCfoJOL4gSrvkNyb4nmr8StP0VkNSBHLXL+XBsvr+XPmgo/8n+eGdCqKR+XwIsoTU7oPPUOpGQ2wZ2/7o9qXZNdRm1KVpdQU05Fe37/oz2LQ8AubVET0SJ6zKh7k5uWbCuktR3d4ZjIew3xalUV2zELZX56MML24ORYzMARKQEXfXmBFRheNgf60Vm/oS+Sb0CeBQVzk+KSPQlsHejQ9gt0CHo10h9Me5l6NB1BRoS0x94QaT6/WJ7o3G+76NDzb2Bm4Hz6njv9aGmdyQNviMR/0JWSM6fSke2Y1tDOdDezz9YhjacNrFjs4F3ivI3bIQUT8t6VLDf9fXcnVujnth5zvnFElIZStKDVYoK44kkhdko9LUIYf8J1IO3A1of3iAp3IrRepX+XpLH4vslsWsehNa9IKRz0ToUXjYcTbc4ls6zPm+l6ET/sPJjCRoOemo3vm9F8rUA9SWsaBgoQZcKHsoy8tHn8jLZXgaaOd1oPSpB33HTuRmV69D21ZB0UvZjQr3x665O0K5Cn9tnVBJWzvuS5HM4geT7EUvQ0dQ+rPQvui5zT5HeSG/v50F9jHa48Tp0I/p+q5Du1yQNL4fOxbghTbrFlLlXgUVUUYw6OC6JpPMiyXdq9URDeKJ1Ph2hntzs97uhYWwd/fcOqDwOhtsxwM2spjX6rDcAHxbkbYx3oNVtpyB/kwOK/JzcaBk9ij6DsIoqhJckq0Lzz/YtV3RD5UomjkFfN3IMNdtrXSkH2vvFdfCj+21QeRMMt4amG28rJwGXt2ZtOyC3+pr1S+eHlPOPo31kOjk/EfgiL7eiHFVUAyeh71r6YNqivitINVhPQkMMw3Lrh6JK688j6T4Hta+qmya/0XLoiirdwXBryPMEqBSpvu9itI28StKpFx9xqkv+antmIb+NSSjbb4Dx+bmb431zuOaDbYtWbSY1imQd6qQL75zbFXjAj6LGHXfRtt0SNZ4GoobUPrFzQ7TONZPmDxiFhsA96ByPxzMvwiAR3hHhA5Fqp1pgINqvrUHnJJegRuAAtM/tTFIfKEFfZ3BWZP9doBPlVJFaT3ZGQ2D7soHNvvzGoQ68jdSU8/ej0wc6+W0cSV0hB5VZZ8byHp7LEySdexejIcohfx/7e+iCznV7iNrl/Ab0+Ybw5CPQpft3QyTfHzuA5IjbbsDelFeXbQlwSZ8u04tIrQvVbalN4epK0supUCZDgHud433nWJbyzsuaq5XHyyReN9sBf2vXYmUlqe9RDueGlcrXUTMCqlYaxXATkXYi8qSILPOjPd+JyP3+WJ6IvOFHgjaLyCoReUEkGT8sIsNF5GsRWS8ij/nRLCcid0bOOVpEPhORNSIyR0T+KLroQ6Y8XetHBtNtZen+45yb4Zy7MGwkXxL9hXPu3/77BagwfMQ5t7dz7mzn3BHOuWzx8OE9bmc6585C46QFP89B1LtwFqoADHLOne6cOzm8Y0500v0lPo1RzrlT0DkWzUi+aPNJoIdz7qfOueNQAxHgkCz5aijTgYNFKE4TehBnNbCdH61YjYZrEEYvIo1gA7qAQKssIxsNYTWqJAbWhP1XvzpMvU0JrUdti1atwxvgXmFZhRrAM7sXzy8HungPbLp2MxQ1rgeh7zEK9xAmGJNhv1fsWGp+Rdoi8gAiQ3x+oveSPLeq+v+gIxRdqs9yFKMx69eQ/l108TKK5i/+e3FyZ3lrVBlum+6Z1SLsqp+DV5g7VB9ZRE7suvUhXsdCfqULC9ejnSZ1WPp5FX5BDp/OKrQe54jQLBbmUaNeNxiR3yHysfeWh9dXPMMSCknK6+x1aglCvPxErkPkcp/XHn4SPmjHET03rsi3899bsZnx6ByxdPNjstWheH7j560ic/nF0+2OGpV9/e9tSBpwyTq0hWLUwGoDvL9Tt8nLgN3982udJt0NQDdfF+PtbA4wTIScZ8f/eCXaxj8C3mvRfP1yvIOthlxQD/hI1Ot9TJpr1gm/rHsF0NGXT3jP0YH+ezy/dSVTW4GkLOotQm4tzpmNQIFItRyIt534NXv457Ct5XwvgBXr2q0Gtvej2BTml68j9ZltQeXYGT8f/thgUudt7wU85JX+8cDP/P3uyHTyabicqi6jPWR8LiqvTwbason1W5Fu6G+bbaAwajAUoyMTuwBEnKlZ0/Hf15L9ma0GtvfrJDbWM015ZkX5G6rllH9mehzo1GbxRqCXv34OyWc/zqfVjMyjYqtJ9pXLUQN6GukXpVmFypjbtiuZWw50EqFIhCIS0o6EXEdCricho9AQw1tRJ9cGn+/Qhgaietk5JEfcAlFnfTo5n3ymK9lCaj0ZgT7jJTxNdzLoPZG0AtvHfp+GOijSrchZHzkf122yyfl4/o5Ey6crGrXQBjV2wojbIGAIi2mFPr9vgUT7FivWoY5B4rK8Y5slm1FHc2FEH41eczHQ1+t4KfpBPDw4ptdEdZmcaLrN8zY7IF+Edv75V8slT9Axa/YfWWisEbdfoyMK09GJwVPQEaBwjS7oCNID6NDySP8dEWmLemIHoqt/dSRp6ODPOQz1zvZCRwLmo1b+3VnydDpqZKXb4iMONfAhhuf73Tsjhw7yn129MbpcRB73I3GZCGEUu4ku6bqL3w+fB6CG3DLgdW/AjheREf54D5Iha1/434LytCuAc26Scy4arhG8y9HVlhqLvwL/RGOtW9Zy7izUK3y4/76rCK38fjVeOZntzz2iEfM6C9idhLREy3gmsJ8IRUfc+upeaFjMvoDsWfrJfGBP77H8MRoyMQrIK+00sxytn68Tn4iudWUX1MP/c1I9dQVEjajUsDZIdo7h2Cx0RCEI+UvQDuVWqqrLMhxLnruCAlKH3FPSnbWk19nfLuw7dOqCfj0Wr+4YXz0pfs1o/qJCPSXvzagqQetAeL4pRAVdmjlcM9DnkIu2x+Q1v2YTMJiEtI7kqa7MAvYVoWMXFuxJxJtVRmI68BMRrqLmwi/p0hnu83cIyXq8H9RQesI1W/lzGobKwmNRheN44N9oWxvBopR21hL1kAZS69RU1gN7+pdtCyKDUAX0SE6iI9pZ7IWW7fdkfvY9iJb/H/jX+k1FK8s3F9y9YVPhy6QyC9iFhLQFBJeSTrzOx+tUKL8S1OsZZSbqCAn56IbKwNmQsqR5M5KvCAjpjkfDg/ucPPzx+WiIyrtomcbr/CzUCDq8+rvOoRG0z7kdGH/sHc+288c/AYYeN+Tpd4HTRPgrNV/0OxRtH5OBZixiVeya9SEqRzvTkSsZy0XkMYdK5jQw3TmoM2oHVObGn9nn6CqcWV9C7lcxDHLgCJ/XvX3bicuF5agSvRuNL+eHe4eEoMrnQSJ06XTO4u6oI21XQHp3nDkbGOEXIjkSja55A+g0rPenC4D+InQRYSCRlwnPl+4F6KjGPcBDvEhvYAgJKaRhcmq4CF1bsm4fn7/vgI0sYCVbX08OqSAvaoCWoNE4l4twH9qmak1HhJ5om1uPts0ach5to8PR0ZXGGk1dhuo7uwPSu9PM+Wh55aD9xUx8Ge3W64s1aD+7C7o40lT0uYb+cBrqaO6SxmE3Ha0nzZv/YmNHVOk+n/QjkzNR/e/7Xh1mb0T1wolo9Mxv0BHwD9FnuT36aqG1QAcRXgSOF+EAVNe9GnUCDKSO/W2N/dmsJlUf2B99BiW8S1+gAwnp64/Po259fFtW83dUp3+VmhEbs4C9qld/TE0nLBCV6V5CneqNziGMkpTzmxGg9Sie3HsuPS4lta4Gw01ZSTvUqbUHsOnAAW/PRutJf9QRUi3ni/LLq3w57IMag/E+4DpwCXCTgI7Vi9MkZL9YXuPz82YAO/r+6zAiddOfPsPfw4H+e/TYZLReDAYGx6+TicYy3MJQ86eo4fZTkgbFJuAn6OjVevxEUGB/bxwdRfIdHQc65w6LnBMIBtSXaEhCGAk7JdOom3Oup3NOMmyn1uGejkIt94VowwyEirov+kLYpWg4xZgsad3kP/+Eel/C9UMFDGn29/f3BiqwXhSR7iSVtA3OVb/jYn0sjWpEZBQ6YX45cEuWfDUIN1Y2PH3hsa889j8nv+LGSqa31wdm+jw8gDYaQevJqGR+q70vM4G/Ub+VtGpjDipIP0Yb/beowvAV6iSYiQ7ljzxx738sQIX9HLQBTkBDBR4EWHJvh/duOfHyNc9c+JOVFx1xR4EIpzPG/a6I9UO5klsYy8OMYTh78CnwJvrcJqAK5Vlo5xbiyTsDf/HHxvpz17GJ2WjYwe2sJB/Yl3asJ48N/J12qEEWjPaZqIC9giUU+d87oa8W6A5cjoZflPS+aNaN/S/59rMdL536UOdzFle/S8V7gWagIwJj/AyJ5j6d+3w6D/n9EKt+BNrplPg83Eu2FdgS0j54TiN8i4abTUPrfQmqINzMpOoXjn6EGg/1YYbP2/t7ML4D6kTqBLx8A9esQ42iG6k9ZGgmKsO+Qh1GM9Ew07FQ7c1D9IWfM9Ay+RTqN6lZhEsY48aIcC06j20qqjxcxBYeQA2sw5jBGrQj7YTKx+6oc2p/tOyK/LG7GU8FWsfGoSNmF5DHRAr4CpWlM/19HIo6dnpB9fusgvH0K3+NT326H5w09fERLU9f37votPI7W5y+YWLsVr5HFa1/o97GErTjDEZ5jk9njE/3b34/V6iaSdJQLRTREQ8R9kfrx05o+8X/9wB09FjnYmiZf+yP/Qo1mErQ9zOdAYzKz63YhNaLLagTcabf/4tPdzq6stg9/lhntL/JQQ2336GOm2/4iDMZzzq+54bfHX/de+ccfPfdu/caP/TqY25YK8KpjHEviXDfhdyxrMNJ7CmjebhLGTtRwNdoPQnREPVhps/rnxnLBO7gImAvHuZlcplGkAP1wC9BPQ+tV+f5MjsFVU5L/O+nUPs7D0HbwH2okRdWD/0KVVIAEGF7ks6zf6LTB+qMH1EZKsKPRKpHggMzUcXxC9RpOQV9ZcOEyi15hf7408B+xw97cgbaF3wPDOMkbuUq1nIb/96uZN5dqME6yd/P48CvRXisB/N/KqPZWUbzvozmUi7mRtSJE9pIfZiJ6gHv7sknnYFPcG4H4BUmsR7t/1+pZ5oh3RuAv+dRUYLOg+wEVBzA2y+gxsVoqHVxkhlo3/cG2gZmolM0rslw7lXUf2XNFMKIlAj7yUmuwF/zSWDEUYP/NRttk5PROjXT5+WCvGaVDn3eb6IG0QRUSQ4vcr4FHRyYDuSTkI4kZCevmH+AOltnbd7SfAAq438HDBz15yeLRfibr2+DgLfQkFnVqUbLLZwhvRktR6ErSh+Ohh6e7dO9UoTj0Tqf1GlzmMu5zOFB8mjLLJKOuKAPPO7316N1+mh0fl5YlKMT8AQT2IA3ELUA2cKfOJfjuBEdoZqDTnEY6r8PA8KrdUpQOf07tN99yac75YxzxuQO+c1nL5738F3vbHf+nL/HHtNMtE8Z7/Nd4u+7DG1Ts3w6z/l0b/L3FHSFs1H5KyLsyRh3jQgnoHJ+BPAM+TjBffg0o27bnrk95tLjQ7TuhVcL9EAd6wfg6IQ6098DfvHTYf9cjPafU1AdfSYq266L5P/vaOj9DNRwfgvAjZU9Nj+aP27Ng63fdGNlEPC6O4BjSKeD+CgtEjLkuzt7rkVH0j5E+5sZaJ0K4dWTUB3y7/4+tyNpw3yOOmu/oB4LEtXlxLA4QHR+QPBahHjhO1FvxznoiNYW4AkRCaMP71BzAl4B6g0P7+P5NmKUTCE5GgXJ4cxDSA39E3Ro+Zt4pkXkWjLHXX/mnEtkOBYIndW9zqW8U2Ip6ul9yDl3rmgI22fAESKS65yrMSTvnLtXRD5HlRhBJ0COISk8w+ca4FDnXKWITEIVlgNRIQBQJCI5zrkqkiNdKe8XE5Ez0Njl5cAhzrk6vxuiHjxy7JBne6OKT14t505AOyjnHFtE+Br1tn4mwh/BXQ7sJcJkf+5h1NPTKEIpMApcmYyhP+AYDSIcA+5lN1YmoUPrVaiQq8IPp5MU8rQtWl2FNuIj/TnPo+EOrYDyDq2Xjbp85K0nAz89+6H7LkYNv4vKKWrFQF4BtqOQ88khH1iIc0sQWYwK3O/QjqMDUIlzixGZhwrTWf7cZXzLbAaRA+xEO8YxltaoUt0JFZar/L3M9HkvAPqwgiJgsU9nkb/mmyRXihoB9HeONd7zmAD3K1QAhsm5A1nHNGCtT2c+arxM9vurfD5mkAzbmODLq+aLNRPyjjuA41Cl8kPU0RGYjjopeuXoCtZ5OLcAkXlUVL+zpc4eqAgTUEWj345MaRMpk4V5h1UOmfujHuNufP7qr6855oYvahmMnoLOfwiTsyeg8qq1z9c1jHF7o/MUQ/ntGE8kG36k43SSy0LnAltkNFvcGJrzC4roy8cUMJWJzCJZp5aQrFMz0Dq1sfqZLaMl2oHuDKxhLHkkVyKbj8ryYf6aC9BRhUGoMV2Cdi6dUSNjUahTExl0OPCgcxpCI8Kl4K6WMYwGl3BjZSLh/T0anjuLMHFc328Y6tRAYKLfXzuEcdM/Y1gO6oUtAj5kjBuKelKnoXKxP44JaOe9FnWobQfMx7nVvjEL7WMAAAX3SURBVJ118fc5DSjpcu6CD164+OjXK6ry1j7y/ikvOUe5nCkj3APuABLsitaTAaj8/hKVZ+W+TJb6MpnvHFVyptyaXCmSC1Glvz9jufbu086rRJeU7nrj89fcAgx3joVwIXdyociZ4haOdfqiWGVnXzb1YQLqAF2FOhUfRdvcPqjMKiAp0+qb7tGoARe84nOBkuX3t59w0E1vvdG6cM3S934zohW4NbWkE+TACrSe7QS8JMJj4C5G+821JPuEui6UEfg9WncfR6MbovPKFqN1bRBaN95HHU1h1GkCfqGD44Y+sxp93oNROX8cc5jMHA7lGtr/+sjb7777jXNv7Nlh9idTvt9xogj7cNiRs3nt5V+6B9yj0feFkpCp6POs7ysOJqA6UZ9+fFtCUn4u5i02chSVPt2PMyWQJd2zAHKo0nd1aTtb8fY9B128olm7t79d2O/xvfp8UpV9oVwmoH17tJ8cDawVYRiwH7jDZQw7oGXZgrrPH87EXxnjriO5qNAE1HHAMbs/vxJV2sNIzQR/vRBa+A4anfIdakh/hzqkvnNj5ahXJx52YduiVdvtWfrp4T7NJ9D6elIzqXxji2u2f4vm62dzEs1pxXQ288LTm0Z9MpCv9z6YN/d5kZHPAo+ymTPIpSs5PO8ecFdX1wWRXHI5iTYMYx3nzLur+z4/uvWlfm1arB7522N/+9WBN759VfJdaByLPvtx3MiTnMvB/hnNQw2/GX5/OSrTZqL1vjOw1B9bwDgq0TY0CJjB436p/GMp4Vhe82X1E18+36J1fRCqT7bAuTmIzEXr2QKf7tKXOfKKRbO6PD9u5pDH7lZnSbHXp4aD+9CNlbk+nbDSZeiDdNGQkD/N+0Sc+x6R5jlsmVBFs3zU4dYdNWz2JrkAVxUqjxegr2Dp7hwbkXmnA/Nwbg0iC1FDara/985nP3jvXbeddOnATRXN55e0Wv4ROoJ+gz8n1ONQb75E9b0tqJN0k7+XL4DL8ppVdsprtu521HHyFSpTru3QemnJsrUduoHbf9BrE3tNvIU33QHsA4zs2WHOJlSvPBQ10kLbHoA6n99CB1JyUTm7GO0DZ6HOsbm+PLLNlU7F+bVhM21orK8D7vD7zfxNOuBi/1vz8OkLIazGtS9q1DmfTlguPax+1BYVpg6YFrnml/63O/3+S37//FjedsiS79mR68S3h2u55539eeVAh9ixe/2xu/3+EL+/GhD/W3+/hXLJj6XxsP/PI35/WCSNXP/bJP/bsegDX+73h/jjN0bT8L9d6X/7Duhb27Nt6JalXG2zzTbbbLPNNttss822emx11sHroKQfE0n4M9RT7vCTOv0516FDfg+jITCr/TmDSBoTy9DhwhmR9Nr6baXffxO1QLf4/WC4Hen3y9GXoD6Ejj58t40Mkwf99cakOdYX9QSX+3xM8efelcaw2dXvn4ta3vejIw8O9ZyWRv7znv/9LXSY2aFeyzb++FX+t9motzUsBT7QHz8zct0nUIP5TuBaM9xss80222yzzTbbbLOtaW511cFrDZV0zj0vIieji4H0Rw2GN4CrnHPhjd9foMbVj9GQjbnANc65iSIyCx1lOxSNTb4RNXhC+qtEZCQ6krUXuiT4Cz6tTf6cl0VfKngFSSNuGjok2qj4RUbCqpN3xo8756aJyFFojGwZOpR6M8nlPdMxAw3bPAUNA/gXcIVzbkbknJ+i93MEari+DPzaORfCSf6AxtOfjg67TgGuds6FMNFusbQCc2rJW71xLu3Lgg3DMAzDMAzD2EaE0L4fNhMibYKBIrqE8iTUSBztnHsw658NwzAMwzAMwzD+y2kqhtuTaNjfFJLLZi4ABjjnVv2QeTMMwzAMwzAMw/ihaazXAWwtX6BLpV+NziF7AtjfjDbDMAzDMAzDMIwmMuJmGIZhGIZhGIZhZKapjLgZhmEYhmEYhmEYGTDDzTAMwzAMwzAMo4ljhpthGIZhGIZhGEYTxww3wzAMwzAMwzCMJo4ZboZhGIZhGIZhGE0cM9wMwzAMwzAMwzCaOP8P5C0uamn7I/0AAAAASUVORK5CYII=\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "score_pred = 71.71695\n" ] }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "score_pred = 73.27144\n" ] }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "score_pred = 73.50957\n" ] }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "score_pred = 72.06907\n" ] }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "score_pred = 78.16783\n" ] }, { "data": { "image/png": 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XWA0UAV8C7wAfAOONMdX2mj7Ak8DXqEJ0CNAbeMAYc25IcZtrrzsW2IIqN28DVfZ8X2PMzIDiZoAXgI7oLN+3QKUxpkZEXKb1ABbYeO0PfAjMAk4GcoGB9vw6YBvwFJAP7AncZox5LCLdI4B302TNgcaY99LkW1Bx62GMmZcmLI/H4/F4PB6Px/NfQLN1lTTGbAPORJWePYBfo66Tc0Rkb3vNTOAcYBo6gzbF3n5QRJA/B04EtqPK083GmNNQ90uxzwjykjHmJHTGbTnQCTg4ItzBqNK2AZhgv2cDBcAZ6OxgNqpMjQWuN8b0B/6eIt3vGWMkzee9FFn230FMhJj0ISaS4nxXYlLwH45VamLSiph0THEum5hUBo5LiElpEzyzkJh02ZFbRegqQu5Ox6ExxKQLMWkRiENe4FxbYlIeOC4jJo3ud0TIFQm4SMekEzEpCpwPPqMoZZl9H7g6n/p8D2KSZ38n1qmde27qdpYGEVol5GdimFnEpGKn45YcbhEx6ZTmmb0Cx8UJdaoRiNBDBLHhFBCTroFzrUSsF4qWWe8deUZaYpJHTHrsyK0idBShReTJmLTZ0XJJyJOdQIROIuTb3yJCzzTXdhZRz5lmgdap6L47XGYxaU9M2jbBM1sTk6Zf9qHh5n8H4fYgJtFji459O58nyeF22xF5QIRsEbqlCbfHDvaNLUVo+v7P871g+6kdaoNWJtnpPkyEIhHaN+aeZqu4ARhjngUqgJHA71AFqj1wLYCI/ARVlv4AXAIcb28tiwhumjFmO1Btj2fY7w32u2X4ehuHbehsHUDniHC72+9WwGj7GWT/qzTGbATOQ5XDV1DFcyEwLCrNIlIpInel+TSNULcTyNli3CfquAGOQ/P+EgARzhXhnyJkW2H7a+ClHelUU0dY+iPyZeD4d4jcGTiehcgQ+/twRCYA2Dg8DUwjJlGDwK+AWcTkZGKSjbrpfkVMihHphsgKRFracC9H5JEMY/wAMJOY9Lf3LkRkT/v7GEQ+CsT9CUR+rT+pQPPvDxk+JzUiLyDygwavU2FxMvAKMRERRgDrRNjT5t/LwNfEpJyY9ERnoO8L1pnwxz6/JyLjkPp6cD0wQ4ROxKQN8DnwHjHJFmEosEyEo+21TwLTd1RATonIhYjsan8PRmR+4NwfELk9cPwN1sCEzurPICbnJYWpcZyK1jNQA9UsYvJDG84biPzU/u5l61TDQllMjkDb2dX23rsQ+Z39LYh8i8ju9viHiHwYuPtx4FMRogSmi4FFxOSQpDMifWxbyrLHNyByb4NxVR5Dy6yX3souIjjF/BxgNjGpskr/a8BkYlKaQT0qQ1TwE2EgalT7hQ33L2heD7TGhs+AMfbcj9A2+KsM458pv7VpOSBdP5r00bz4DHg4KURtZ88DU4lJx0zDtXmyKzAT2x8jcg0i90dFvIH4tUHHYnfvScAckWRjpwidgOnADQ2VXyPHlvCD7kfkKvs7z7adSnt8KiLjbP5lA2+gdapdREg3oGV2oDVQ/Rv4mJgURPQDtyX0A6nQMvsHWmadESlCZDliDQkioxB5JRDuG4icpj8pFmGOCD+MCLcA7RvfJyZNtxRGjRjT0XaKCHki7G3P5QLvAROISViO2plndkLHs7HERBpZT0YDs0Tob40wTxCTh+3vYahMd+MO1L+/ARNEKEKkwI7NSbJBo+utGiKLdyq//lOoPPXADt0bk1uJycvEJDddHkX0U+UizBbhkMh+PsW9DY4P2s8vEmEfm7ZdkWSjYER/J8CbwLMNJTkiLWUiPBVQ1h4CvhChMKM8pBkrbiKSKyJDjTE1xphxxphrgFvs6Vb2+8f2+wF0Fs0dRwn9tQ0ch9nVxQPqLYeLIq6bZ7+XAAVuZgwoJL5W7TFjTCfU7XI0qgBem+K5nYkrgFGfKOXxv4nf2O+TbUW9DTgC2A/Nr1bAYVAvtDUFHYHdEXENo5v9gEgOUAn1VrQOqLst6CzskUBr4NCEEFWAvNoenWjjPNjevx9QDpSiax4BuqCutelRBfE0dMb2KBvnzlDfyDva+Dp62rBBDQStUENHOFyxHeZ79bM7QUR+ExLYDofUFvMAv0TXlx4MtAVutHH/MWqcGIYaUoYDl9lzP88g3C5onhZaBeJim7ZhwCi0vAajhhNXDj8kJruh7tCuHjUlVwBOGasAujqlgMQ6lWfj5cqsvs5HhPlrNE9+aAWtq+z/J9rvXuhsPyTXqXSEn9kdcLNLRWg9SqpTIuyCGsC6AX0TQtT4/Qb1IPgJesNBSP3scAcbjrO8dyVu2EpNTHYFTrDxGmkF+0+BR6yAG0zLCNR1vZwUxq8Q/7Jhg65tzgKOtDMdZ6GbOh1jw94FHcgJPPOkDJ6RGTpDPNrGIVnoTs9paDklt23YB21/xUR7m6TjYnSt+xH2OLMyS+Z0tExcOFfa78Mjrr0ANZQeHXGuKelJvM6XoG3HCWWd0LYFmnc/QNv0/gkhxKQQzSNXZj+24e4C7Ea6fiA9g9H+qa19finaTzqjc2cS+99gP3CxPffLiHB/go5f+2BlmCbiUrStuPZwNWrcGYEaY3dDx7e9AEQ4RiTJGJ6WCMH6ArRPOJxkw3rqcIQstK/ORdvDgWj7OQNdvnKNvfSURsVP6Ioa4TqgskEJWk4Nzv6LkCXCtZGz0DpT+SnweZMqvt8dfYCfBYyqCdiZ92SjX0x2AS5H+9uofiwdV6BtIN3+DzvCb9C2fZQ9fgQ4NYP7DkTHohMao3BZbkLr3mgReqBjTidgQKYBNNvNSVBF7EMRmYa6M24iPtiNt9/L7PeRaCM9sgmff6yIPIcOluXAYnSdXZgvgI9QYeIzEfk32pkPR4WyR4FlIvKeDcMVztqoh1pXyB2abbLr84JC+R9FZCNwqTFm5Y6E2aSoNXBw4J99iSvheYQHzaajNPC9wH47lyNn5SoJfBchks+TaePTm8SZ3fC1wfAW2O9MBO790oTjvtshkoUxdaFww/cGGYl2mC6u4XWUPYgrHoWo4SETt8/6dL864ahgGWYBQ0PXHpBBeI5gmXWEBBex+mfWbMuHRAE+/MymQQepoGAVLI9v7XdW6FyptaKmE6CC9WYXIGzxD5Zv8HtxyhBVwdonIpy8wO/wd6mm0aSrQ7sRV8oc9wF/Qi3RwTJbTeZ1Ptx2zkaNJfuidbJzmmsbIlhmwXv3DV0Xr0MxaU1oELUuioXGsKqRzw+yF4n9c2NIVy47029G9TeZlFnKcGxeDUpz7XfTRpMpRZdaQHSdd7/T5d9gVBZxpOvnXT+QyfidLpxw/MLHzogYJb81po9tDPXxte7Eo+3hXoSMySKcgM4A30e0ctnoZzaSniQqU0cEfufvRLjhPqM09J2OM1CBfS/gOERKgXyM+Rb4GTrGgcoVkZvggbr2AX8GPjaGWCPi3pSUosbGQuIebED9bPrXqKx8Yui+w4m3jca68ro632TLQKyXQFhZCo4X6RieEFRg5s88aFK2f1t+zpDYmvT9ekqa7YwbUIPu+rgFVch+iio7N6OzNKDW/XfRjB6M7uzYVNyHVq6BqAvIMcaYzeGLjArPx6EuIq1Ry+Mg1J3nY3vZeHRDkjOB/vbcJU0YV8fPcZZw5UT7X1POXtVXzFTfaegF1KGC7PuooPoNcetsb9QKfjPUW+2WiyR1mI0l3MGWRPwXdU1v4HW0s90WCrM3sBJVeGbY40eJW5ijwo3s4ENWxt6oK05/tFOMCieLuAAdDLcSnY1K2vQG3bgHNP+j2n2UUpLJgNQbdT274c/jRndFO+bDULfmStQdyHVylajF8hHzoJEG6k0wvZWoi9tgtBx6ozNTFz707pmqaOtgPN2ee9NeuzWD+GdKK3TQSFdvUtWhLfb704QQdTapN9pm77C/l6N1aradDS5O88x6QnWoOzorNoC4kSsqfsHvHJvGSjT/nAUySG/Us2A34t4H7YnP3IWFz5R1PiLct9F+cws6+7Ec2Gjjsw7tO6bYa2OoJd0E61BSnVJvibZAmXWF7Grv+9CG8znaF623x3egSmhvtO70AT6yFvyxwMzGrkWISOdMm5Zl6frR8Mfmw9VEu0H3tvHbF6htKFz326arFzq+jrNhpSyzVOEE4ncJcBcqOG9H83Z+RFCVqLD6jxRh7cjYEkVDdb6trSOV6JrzRK8KpTcwB82nJfb4NnQGJ1W4mdb5V1EDy/aU4ahbc7gf6IPOQEyICLcPWo8vgvo1PEPq1242AhG6iLCb9S7phQqc99jfbdH+FjT//kpcUD8/8P/O0BuVmX4LqetfxHcl2n+4tt0Xzes70b6pJTAEeDVFW0sX7ofE9zpojOLmNsFzhrlLUU8x0HZbDRkZhU5Cl2jcGXk2JjkJawJjsut3MIuXLt3nonUjSiHpi8rEV0P6th3RT/VBZ5qnNRS5dP1U6Jm9UD1jIPFJoEjFLeLe3uhmgzdHRiImLYPrpwOUoEaF29HJqErUzbhR3kHNVnEzxmw3xlxsjBlkjCk2xhQYYyqNMdfZtWoYYxYbYw4yxrQwxgw0xvzFuiq2tefnBTb1WGv/axvc5MMYM8IePxqKwipjzDHGmEJjzGBjzIRA3FyY8+zxCmPMecaY7jae3YwxpxljptvzJxtjuhpj8o0x7YwxR38Xuz2m2dCkyZ+Vigb8jyuBj6gy01EBxFX+2w4bMG4RKgA+Ddw2b0W3regalDLU9W1nKEWFQNfRFBOfwSlF1zmWRhxXAk9TZb5AO/5wWt6gyswD7rbHMarMm2jnFBVubir3glC4/6DKuHVPqeMn4ja+KbWCaRfU0hnlf94XFTiGoTumhikn3mGVop1K+gFJ13t0RMvwjxPnDeoMfGoM41HlUYXsKvMBqtzWoIrcDeGgIjrxYBx6Aa8Zw4TWLda9Y/PoSeD++98+txiYZgz/Rtf/VALPUGUmoOvrmopSVJiPqieg7qJFEee0Y64ys4E/hsIsQ5XBF1CjUyXwT1un/oIO8qnqZjoqgc+pMl8Dt9r/CogLDQ3V+RdQg8W8ULgqbFaZKcC91iW0LXHFLdzOSslshsmV2SRUAemDGsAuwSniVWYuKqxUAk9RZd5Fhah0lKJ1vQxVZlegg+QYG85zti96Eq1jT6KKhwpoVWYWOsDugw6s7dg5YbQSGGvT8uAO3Ps88TVk4XNPU2U+RpXuTOmEKspvojOmECqzTDYtsddofmr8KoGPjMHlbfDalmh5PI8K+98leaRuO+64HVrHnqTKvIUazYJUAi/ZMvsbrp/XzzcR4bYmM0Opq8efouvrouK3Ce1X6vsBEdqhMx1/Ibk/ceE+jCpYS1D3+Y+I6HPTIUIrdLfsz2975TJnMHsZ3WugDypA90fXNzvF98UNNUVTUKPZw+gMZMYkCNkH0gqtJ0+j41bYcJqOSmC8rX8v2fj+EVV2WwDTqDKf0HhDfyUw1hjeQY1IKfvjiPFsADrj5uTIDsTfR7wLquweAhhE9kZkYoo4HIsq+smbYqjC9iG6BnlXYnKkjee/GpfMBilFx/KkNcaoQvwFauwI0we4Fx2TktMXk0pichGBTccsrp+6B7gzStHeQXoB/2cMXwJP2bXjLclMEa9EZZw70PIIpiMH7VO/ISZHRih889C66OSVF63MNIMMabaKm+d/g1CjLkctzlBlVqENcqoxmHFXjtwCfEuVqabKbOxx0bwK1E3qbrST2BlK0dc0uAaZjXaQWRHngsfh+AYJnwsfh8MtRgey1g3EtaFwgsfFqPDg3GhWGcN6YyLdcPugCqEurE+mBNhuFcvwM1NRCiylymygylSv2lhagu18jGF5Qlp09no2VWY7VWZ5A+GCDtqz7Xd7Gx/WjWm7Fe23FlFltn29aEBL9wzrxpauzHaGMnQwCiq3mkeaZ/pJzr9gfMLuyuXAPKrMVqrMaht2pmWfjsQ8UAW/jvhg31Cdn20MJqIetccNLlqG5aiiVh4RDqjgXGNnNTKKr5xq1qJK1geoQNtQO0tHGeqm7OqQS9caksulAphlDCsjnjHEHkdaV0U4UYQJIglu4GnT2Zi6aRWjdsA3Kdr2jtb5cmCuMdQGwi0E1iNSILqz6BQR3m5AgctHDQOLbDjlaNslIr7lwGJj2GTL4btB3b3d64Sg6fr5MmAOoJ2HAAAgAElEQVQWVcYktdF4P5CVgYGuMf188HcnYJ4xbDYm5C4dqx/PZlNlam29dp49vWy+ZNv+oCGOQdthbkFeTSUwx4a5CmvYMIY6dEa/PTCTKmNan7khB233F5BqNiKACC1E+JlIkgt2GSoPbLLjy5YM4uwI17+OwGSqjFP+XB/W2OUj5dhxyIZbYo/TuhaLUIKO+7eiii8kKm6VwFvWcOW8CgYi0iYiuN3QWcioTZNORPuqElR5vhKtj7tnlryM0TYQ7VK4K2osODfinCsHQ5VJVOx0F9TxqHHuptB9ndC+eZsxKYwBMelOTBrr4l0vVxjDarTtzCMzV8kOwExjWGcMW0LK2SHojGMWyXnfFfjKjkPTSa5TGeEVN0+T0oALXAtgaeC4kLhVLnxuD9RqO5rGW6dBZDwibpfR4OBagM6crEetmekGzHCc0qUlfBwONwt1rWzIOtdQOOEBfTnq5taC+HS/ZkGi0tzO3gdVZhMiHe2ua06odu9NTM4T3RHycru4uKE8WJLifGHoXEOkKgf9XVX/AsqGyqGpKEUFrahyKESt49WooNiUdWh2imcm0EAdaot7l6TOkjVU5+vrUagOhcu3HLW8t08KR4VDQ3ytWzqC8W0JrDaGamOojUhLY8q3DBXSysLpCoZjXXG2GMPGwLlgOndHZ5KuR3cArceu53oYdfNsaLONHa2bBcAaY1LOOoTjmymJeRJXNlyZXYjO1A9PujM5nOVWkHfHmdb574pS1PUsypgCjWujmre6+2QNVWZT6DkunJYk9gMJRLSldP18O9RQFFbcgmNmmAJgFVVmK4AIpajxc0/iLtNPoLMeDfEDtF4PKGu1IjsU19ZYF1hb5tnE3fy6AjOsYvkNDfMEOnNxa+j/nakn8Xvju1OvCZzbkbbi7g32IeH+ORUdgDk2T5YH/hMOlhx0/NY4VZntxNcMhtcOCtoeXyN6N8Oh9twJ6AzlXugynrAitLPU18eEcWeMyUfHgknG8HXEfenq7lBUQRtL4np27HG6Nd1HoGPzHGKSidIVDDdYx5zhNJMw0tWj/VCj4y7AwtC5wtB/SXJbJjTnzUm+F4wxp6NuOp4mwDxoRM4WXYsSkyuAzXYXuW5gWqADHWgF3mzfpbNvSdGKXqs2lk4ESLIsNoQqIweibi9j0Y7mI/tdggom1cRnqmYR91svQd2pSgJxGgnMp8oE/avducHogJ0PbCMmx6LuIyXoGoASa/2tQQe3EmKyFl2fuRW4jiqzMSLcg+qv1/i5Bf0l6DS8i/tqoLacZa2W0z5pDWaAPKrMusDxIHRt2p/sdtbboH62wXXMR9qB723U0ncSOqCH41oC7FfcclXxmup2myLOH2XD3WxfH7A78H4DVtRS1K3ECVYubS7M1sCIzu0WlC1a3SWYbnf+MGCRnGqmo3m3MENBIo7IucCuGDOauJXRbTRSgs4KJZQDiXVqhI3PGrvbZYV1xwrGdZPNkx+ga8w2E5O97LkSdHAIbiryNVqHclABbChwBVXm1Yg82AW1tM9G69LWUPyG2OuL0e2xw3kdxsV3T6yLLqq4uToRLLNiVFhySkA6IczF99CHzjljy5l/e3ht6NwmYjIQNSq4a48BpiZZbhNxitthEely4Yz48pYBNXtc9VVN6Fy1fR1HRzDtgcnGYNCyPAbdwnl6i9zqazdvK9yIrlMJGzZSpXN/YJt1k8uEYD+ZLtwj0ZmRTF1uwnnSBjVouX7nQHTNbNQ6tXThJBwnuMwfPwjGTvggw/g1jG6fvxxjamxf1R41ZpWg6WiLtitX591mBAWoMFhif9fYcp1i3SIT0xKT/dB2uNm6pB2GuoSF+4FVqMGixO4QfC8qmJ0eirkL9wjiXhOzUM8I0Pa1gvimQkvtt9ZNl/xA3rbLgVXDmG9d2Ifu1ePTlp9/s/cXxjBRhK/sZT3RMm6I/sBdxjC19u/PdrJx7QgMzs/Z3HrL9gJtd/F3cuYQk8NH7PpOi/emHZiRi6SdZTseXa8cnpV3+VOGtq33Q+NXOoL1Lw91s8tG36XZzobbE+hLlflnhmGGw4X4ONk3+vJ6ooyWrYD5bKALsD5giARd8rDAfk8J/J+LGphSzaoPROWJ8Xa8WUWVeZmYvNZA/BpLKSoThBXWQmBp0MAkwp6o3PCYedJuZhKTfsDy0IznEOAJqsyZBN/ZGQ+3mtRcjrqD1qL5uiLDdITLswztEzLZjTUfrVdRDAD+TpWZSUxmRzwzWd5rJH7GzfOfpACt7KehlrYWxCu/OzcAeLlj8eKuNGBxEyEnhQtPD1RodINgeJZqFdRPjYctna1Qi0hpIE6Po5vjRKXlEtR/Xl1k1Kf+qFC4bkB3z7wTFer3If7qgXC496EuB+H45aKCQEJaBjGxnFBHUm8NO9C6hsakBTH5iJgchw42G+13mQ3HuQKVooJ8MTrz2QEdPB8TIV+E34vwzCsTju5mn9kPeLlD2yUdSNwQxKXlBZveraj1fhzJuyeGCabbzZIGw+wCvNS34/ReKZ75GLoxz+/R9VqvN/C8KA4jvpNtKbohR2HgOJM65eJzFskzx+7cXmi9KbbHl6NrQEttmHV2g4JguCei7kz/JNkdw4V7Crr+0IXjXLLCdcoJicH4Akkzea4crkfXnZSjAkaqPKl/pgglItwowqXhTA4885F+Haf+lETXaHduNOo2nYeuKRhL/L2dqShD23JhOF2B47vbtVx9AdF1aBQ661CEEwZUObgHrdOr68gaCLxkDFNtnNLhwv0d8VdYZEI47iByLFIvkLnzTxN/JU4mhIWPcD3eFXjZGN61Smum4STH11FbADu4aVDSehpdkzIHOMYaMt5CBeQXiNe/5DaZOBtcinOd1zVcx4Qe69JyE6pgbEH7rpfQDZGi6rwL937is2/FEW1pC7pW7icEZ29E3LgYjPsqwLRgU8tg/gU9XFYNo7M9VwG8uWePCfsQd8Nyrz9qT2avK2iDKpRkZ9W5uO4HvFxUsLGYeBvNt88sBF7Zv8+/9iW9kQERSq3S9gPgX8ZwK8kzbkF54KUM4xy+F+IyRgmqBA2y8T2Bxq+Bjmov9f2oCIeK8FsR+ofuKyQonKvXw3ZgKbV0RxXJTsRkvlXku6DvbOwSCqcl6ZXuEuKbdxQRdwmttfHrLMLJDb6mISa5xOQeYvIpMYnasCfVTKObcbbJpA2q4A1DNyNy5TIJ7VuDdMGtxUs2xrUgVZ+h7xDcBx0PR9K4WdqgXAFxOagOkVxi0oqYHGIV/jCSpk9sS9wNui50LijzQnoFMCVecfP8J9lG4izvduJ1MOHc1u15yVbmmPQkJrujL3o+H10Y/I+I5+yCuoY4C7ibUXC7SYaF2MVAC6TeeujOheObLi3hBhotxKr7yrHoDN9Q4jtzpQq3FPW7bhvo8INxXw2s6sfUojRxzUIFkyzUslWOKmzj7Xc5OtsWnHFbCWRTx2B0cf7HVJl7UQF6T2DsvBXdWwSfmZ1VW0vioulgWuqIWlCdmmD+bQvcm5A/6Z5ZXVOYhb68uS9ux7iY/ICYXEhMMnlnSj9gHSLtiAtPTolqg5ZLkpJiPwtQI0ByHRIptEJn+FxU2a9CjRAuDi5PRgLXU2UuI77LbkPhBAXBOehrJQrRgSPTOh/M6/aoQlMbcMF0A3r4mTHUxap+x7PAbEFj2lktmb8updzGoa6AzbWkyOu8nK2G1PUWVCBxgmol2gbPA07Yui2vNXYTF2Mw9kWxvxXhdrvBQ7q0ZErUfUcDw+079Joq3Pp6vJXcMiDHrv1obDgJxwkKyyv/3ofG9QP1RGxK0M8+ayDaHlqhQtOtgbREGVOK0R2qXZ2vI3WdCqbFkJzPbdAZyWCdX0UXuqKzVsejhrywO1RU3gcNfeH+ZDWwpjezWpBabktonxs2tyogKOiLtEbHzKwM1p0WEZ8ZyLhPqNlekEN4s4YAIlyDjjtj0fY5FSDCDXhH63T43qCMAdp/7FD9i4hTfZmJMATdbGcuye9rzSXxvcEVaH1YxsZ6N/Ns1M20BarEfEqy4hYW+sO0AtYRk9+hBtINxGQPYnLfzSdf2xNVBu+h4Xeh/Rg1YLyDtq0wbgY4rLjlkbiJzJHA+8YwDG2TtaSuu22A5cRkuPU2ChIuwyDtgCVUmdV2/Xxao0FEuMG6UIbKPavZnU7AJ+g73W6JuDedIUvbWUz+SkzCaxHDu3rvUD1vUHETkXkiYiS+XggRucv+92hjH9icEZERNl1Rn9PtNfki8mcRWSAiW0RksYg8KircpQp3DxF5W0Q22LDmRVyTLSJXichsEdkqIitE5GF7rnuaeN1grxERuc7eXyMiy0XkeRHp/h1k1Y6yGRXcJqON2B27c/mom8uS7KzabQTdJ2LyS9RF8Pa5y3uciC58PhJ1WQrTB+2kyuz6BqfwuEFxC/EdAkvRdpBlz21GB/HSQJz0vSoiXRFZjsg+SefiAqVzSSkhvp2/C2s7pXRGB8TNqAU3bEkMh1tqw82xYW4M/F9q07V5V6a5WYVk1G/eCSbO8tcXna1xM25OcXMzbluAGrZQASwgJiOIyWXozNmtxvDUrw6/5ysb15XAt7nZ22pIfD9LMC3b7O9FkNGmBPnEdyiMqifrgW8Kcmu2hNJd/8ypi/sVAUuMYaExLLTuTs+hglv6nUpFWqFlOhGd0XLWuDVoOeSgdcaVQ1SdyqYOlyfBd/P8Hzqj6tK1BK33W0gue0O8HrW195Sig/90YnIuyS+SdXkwJRCnbdidwIjXqXwS65Sr/9H1KH7uS3tcjipubqbWuQQn5MkmWpSjVtFLjdGtvVPEd2KbwnXbSC7PgkCehNtHOuoH4j7MzI0INx+Y2LrF+u0k11uXToPmoeuL3IL2PsBv27ZcW0qigekRVGl/AhWQd0dkBiIdg8/MIO5BospkP/T1I8NIzqMdDbcULb9tNRSUk0YAbyCcdHVoU5pzjWUg8Ir93g2dmemOlpGr8669uPrY2v6uRsu2FC3fHOL1Okgwb2vR8qsBZrAdQQW/YD+wFdhKR3qiQnwZup1954hwg3WhFFWqnHGxGhXyXLh1QHU/pubRcPvcBMytNdnOYOfoiRoZFpGsFIQxJI4Zru9elZ1VW1MfBx1bstG8nlqUv3ErKd7RZdeSXowaLA9ElcNUgnaCPNBAXKPuLQj93ooq2Fvt8Uwa76IW1V42oOPJ4cDfjOFhY5J2oA7X+Q44xW0FxWg6a21YoP3qlySX0RZCu/SKcKwIt4mwP1oOteja1H5onekBnPf0R6echC4XqUB3AE0gtP5yJHANVeZKdNfE4APz0X4hajdNV2aObugrVzCGDcTzbybJOEPm5ahcFCRdn9EKVZL6E5OtxOTgFNdFES7PuOfRIRyBGiEvB263M/pBakVSGgBc2xlO8nviwmlJ11emxM+4JbIIfbmh+wSVAuerehXaMIpQd6xa1CUr+r0aSle0waQbsO9F3bpaog1rHNrRggqpwXjdTdyC4+L1c3TdVCd0C+ZVqDtA1Du9vi82A+2oMk+jg58eJ56bAnyWn7NlE4k7MF6KzlKdcMBNH8xDF0C/awyvR2xJ2wcVIrega3zao+vd3CB4FlqG7ngcuuNRL9R18R/EFYYSVEACfZHnUtSC6uLuzm1GrUaP27m3MrTzdc84CbiOrbRDO9gCdI1Z2K0i/MxSdM1dBSqUDEDL14V7E3B8D75pSfpNIGrRjtztatWb+Dtuymz8LiKuuP0T6MUGWqId0UFo3c8iXvc0rrr275O8nK3OJSWYFpdH29Hy/RfJs4yJqKuQay/Bcgg+cyHwdkFuzVYS3S7rn5kldWGr2Ano9u6PAS+IsJvdMe99u4NekAFoWa9BFTeXJ3ugg2F79B2SrhzORbd0dsdvAxVstOtdquzrRkTKbR7uT219nf8CNWbUkFinSomvYytDB3SXJ85SN5i4O2cwD0qoMs8RV34vROu9i9+HNg2dUcH3sYi8DuPy9hF73B6tf33R9tMeHaid8Pkz4NJsakuIuxKnCrcEeLR14frtJL7kO6qdBY/TUYYqUAP6Mr2AFHWzIG+LAVoG3nXlyuVxtM1sJN4XOUG1HXB+u5arDXFXUVCB6UVj+MoY1qFCUAG601hj4h5kM9DOCr4gUob2NauJK247Gm4wT0pRC/MVrdlQDOTWP7Nx4TRUhxq7+1sqBqKvFehHXMkYjLaZUnRXPeeGWIquSatA29F+6AyJq/PFROdfMG8NOu6vA15mCYU2vHdI7AfOYwNt0PZZiLqFhYXwcJmVokY/1/8eiI71Ltz7gKF9mNmC1G7mLszlwKtF+RtrSKybvVDFbR5ul0lHTIqIyQPE5HViciUqmLs679rDx8D07KzazSS2UdfPPtu6xfqtpN45OQstp23WzWwDpHTbc8/8Giv8N4J4HVM3wXz7rBiquLWjyrxMZu9Niw5XcWVWLtRtIXVawrJMB7TOHsI6StG2vBgYw1pyUWVkGMnKfsKmNyIcCPwGlQc22TQWoS7DW218ZgEL11QX9wDesbsZJq1BDLnxVgAzick1qIwS9I4oRRWy90nexKPapsURnt107ey+pByK14X/izgXlBPDVNv71qKuvY15PUA43FJ0RvJgNtIGzcMeqHEo7D2RLk7r7fVJCjLxPAgeN7o/bBLFTUSKReQfIrLSzvZ8IyIP2HO5IjJeRJbamaS1IvKyqIuHu3+oiEwWkWoReUJEnrazSXcFrjlWRD4VkfUiMl9E7hB180kVp+vszGDUpyrqHmPMbGPMRe5D3AI3wRjjKpTr8B42xpxD/IWo3VPFxRjzijGmP/py16i49kZdulYCuxtjRtn3wI2w968OxesttEEsJb67kIvXa8aYM4HLGorX98A6EuOzDjvjNH9F1w1AN7cLVMuC6g3YdyZZy0ZrNL1f3XzytT8jYC2L2MmyD2rl7IWuH3K4QdDhFpQ7uofOheN7BNpRHoF2FOG06PFqCohPfyc+Yz2tiL9A+zmSCT8zXfzqz1nBtKNd9xc19b6+/v5FtESF7GeIu0oWoZ2uc5VUVrEdFTpuQDvXfwGjRRh53B1j2wNd3QL1ooKNG1EjBTYOwTyqIfN1CuHBca27d/Tjd9UAbYhJK4Dilmuq3bnwM3ftNK0aqBChpwi9cJsLqPvS31HB6E5UEQ8vft4dVVYvRJW14CDVM/A7XIcSj1fjXojtOBRV+L7lGUqB7oGdzzaQuuy7Eu+vS1Dha3+i3+uVrg6F4xt063F5HSzDcLjBMixH22gRie83czPbAOSztR06W/6ICPeki29J0aptqJLS0rb71O2sYcrQfiNnD750rkguXeFwqoFOEfUWe9wLYNm68sWoUv8F8HGLvM3rsfXBrrd9AbhbhCtFqEDL+7f2uzFxr8euT9oGlNv4DUUFlEPs73B8M2UdiXkSrifrgF4i5DbwOoAaoECEtoH8C7bJ8DO7iJC1Iy+FDjEQFSzbs4iFqHvX86hynarOCzbNgXOJ5SJSYN+llUty3lajxlFYnLBzZGK7mkcO2rZWo+N1mPgz6+rvB+2jOqYKtz9Tct19Sfmns1912L6qbcu1m0hsrz2Ju8GFN4A4Fy3Hk9G1kqux66/XVrdJ6JfycrbWH9s2Wt8vlLZaudmm282w1WMM29E1ty+J8AyqYO5mrw3P0mmY8b6xMYTrXzVxJWgTOy4TpWovOQfz9uvAKBHuE+GciPuCedIBXcaxL3VUEH/XJMygHToO/4boGbciEVrb9rgH8KYxfGkME4nXqVfstd2tIXyu0eYbN2TG5EhichMxuZSYhPNjM6rwt0E9bIKUpvgNmrfFIhTZdM4Bhovu69qB9P2f62NTyUSp+pPVaHtcT8Pv9Wwo3DLUyJbNWBaj6yF/RPIyGHdvV5u28MzbalQGjTI4rA8807WdVONtSppqxu0S1GI/C7XGTiP+5nRXUcehi/Pnoh3HgxpZaYtWtN1Qv95ytPOoR0QOR90gegAvojNjF5N+W9tR6HqcqE+DbykXdbG70B7eFTh1PypgjbLK6RVohb29oTDTcCA6oKwE3rQK7OciMiLF9RfZ7/uMMW5x5RPo9PtRIvKQjc924jMszYG5wH522lnQhj1UhJLKi2f3QuO7FyC7d/1qDnCoCJ3RxvMROuPz0uAeX6wGBljhLsrq0Rv4JVqvghs3hBW38HG30Lm5wAGAsJls+/suoB9LWFV/Lp42PV6aYHkrIP6+FjD1630+QncaC/q+J4ZTVx+PVPGrP9eZb1uhs0NDUCt/mNmoIiJMoQJtaz9FO5KgIOMsvsoElqKKzt6oseAOdMC9+OUJx61A6/4+gOzSYcYiYD/bIY1MSIt2Zl3tTmsNDcYJZSTUzUXrSYu7x40ehrq8HADI3r0+WwzsKUIhqlDXP7Mwb3MdakGbjs6WvYW+/8at++gKfG4MG42hOjRruzvarx1OfMaNwH3BuKauU3NZDwwL7L52ODrz1583GYgqFrvaPFlIYp1KVfZFrONl4Fris19B5gJD7LtxnNtvqviG0zIXGCZCN9QqHGROKH7tA+eCCmA7EhXd0om/H3jbr4/4U8U1x9/c7Zs/92gjwl8YY/4lwiUEyqwgd4shXr7hOkTEcTrq43ACL2wDeltlKqGeBNI2NPDMobbMBF2Hc4II/SvOX1aBum69Bwzu23H6NOD4+t3TzpSLOXr/UzjyoFveY/gGG+Yo4FBMo+IeZi5qhR8JdKCUK3mSC8lhAdvj7aGRYc4HOojQ0+ZJuJ58hrqk/yVdIHZL+G9s/Fze7mcFkXBftArt5/e012aMVSB/IcItBVLTHTU6LQEWcRMrUYFzLfE1Z472JFrMo+p8MP+uQteN/jLiXPx4RcIsSmK72kRb1FgxATUMhYmHs548El3gUvbzR/C6QddUVaJ9SZj6NnpA3w++BX5gBf0DUMG4HFU4eonQQYQjRRiGGhIXotvHv4F6AJwuwlH7XPdJEdDR7sQopa1WzkP7iGzUIFGfloP6v7Mc6ClCV6LK90w5j+MHjeSkXX6EjkFDRLiJ5M16VqIC82AaX6/deJGNynrBMlwODCYmLXcw3GEiVOzK1CEEZjPH9z2sdsLvBr3+0Dmjhky7vW9YCV0AlIiwK7q8owOqTK63v2ejCpKwoH6d5KdARfB9gHaWchY6jh+OenWcLMIoEY5F5e7jiL+eoScx6Q1ktS1cuwBtn7TMr26PztLdhs5WdQrFdzq6lOCFiDxIqbhZA9Mc1KDk6lEftD3+mvR991eonFcRcW4uWqc6Eq7zujP1RHTmes+Ie9MxB9jfKpkjCY5Zy2m1z3Uf/+6CR/9ywCl/eeppqkx4eYcbL4aT7Or4FdrnRxmq5wD7WEPF4cTrVCdUEc+IplLcnP//J6gg8SPsokZjzBbUledLtLJOttcOt8rR0WinMRc4yBhzeOAah1OgJqLCqZsJ+3mqWTdjTHdjjKT4nJ5Bmo5GrchL0JkJx1S0Qy5GZ8k623R/nUGYqXANoC+avvFoh/WKiITe5SED0IZbQ6K1fQFqbSxAK01fNB8z3XL6P8FsVKj7Au30ZqMWwP/bXpdbiFbqZ4EDzz/kvjlop7IQFZzPYiF7s5qeu3ed/A9UcJqOurwNEuE5xpjfDpKJhwLbMeY+tOPZBbXiVKDuCBVo/Twabahb0IH9cbQs77XHLn6/Aq5jNm1pxaM8yTn05gE+pQ5r8bJpm4O6qv6SlfXuCu3RtRGd0boyFCjtfMHCp+8e96sJt7x05YejH78rvB3xbNTt9Y9sIgddQ9QetYJ2QhWnCrT+laKKmnPRm4POJF0PcYuntc7NQJX5X7GM4lqyXhfMG9vJ/hAVuk9FO/Yy1LWkArifcWxAB7uPgTpj2MRZcp4xHGZUEJ2NWlEPOWKP1xehQsGXaIc2BxWCLkZnDJagBpxByVUjgVLUQFMBzO/FnKVonf+c+Iu5HwSOP37w2GVo//MZqmDOQQWuGwA4U67j+MG5/KRTH+AVvuZ55vBTm0fvAdeL8FMRKux7aGCMKaYFX3IttTzOYLrxGdpHVaCz5p1tebRHFdL2qDJ2PCoYbbD/PclEqlELurpJZyHcxiiquIbc+pmzl9FdOxeg7d7ViVK0D7oWLfs3bLiT3zn/wG/uG3/e4+MnH7LptlcveyCUf3NQQfUz4vXkaLTed0DfpdMebRed0QG8A1p2c1CXyrcIjA8BC+r+tmywaW2BuqR1telwa8A6orvHHkYuZQO7ffn8n0675IabT77uuoN/9/ZhNl3DgAdsuOcSf2HvDHQgvsOe64u65ri0XYMa4BrCKZB/6MuMIlQYfA99ge0c1I3u7kC4f0LdeOYQd9XNQtvw8Wgfn8tyzmQlBWzi7+3bLHsVbS9fAP3MGCNU/Bvz2jsynA/2R+v7GcAsvmQ7Ksw+nkHcw8yxcf0zTzKBP9u1Qo/xT3KYiRoZrmxMgMawBe1f30A3LChF+56D7e+xaP/8iwyCm42OR7fjNr7RfuCA0DMN8X4+vJalIa5E20fscm7rBEzBmNOA+6imF6fxPBewjDM5wcb/INQ41gkdt9ujbasz2j/0JN5vXg/8iq8pQY3QrwBnsYBVqHLypI3DHHSW/lTW0orU/UDpyD+8ftdLXxy74KH3Rr2NuuoHmYMKs1eznEK0rrVH211nmzd9iStuvYDrWrGxGO0zXkc9H0TsLoaiOzXOQcewHx018LUVqJwwE91Mpycq3A5fTXFvtH+YgI6jD6Pt9Vi0v/8INbC/OnPpLttQY/kbwOABXSbPtXGbhhrc56CbT5zZud23W9F+7CMiNsEwY4xQOgnzjxliXYmfRfu3xNkb3R5/DrpsYUQ4nAaYg86Kf2XzbRZaZj9Dx9M8dDzrmCqANOGeBrw/iIllNvz2wJv8lPMHdZ9UM2r4Iz/o23HGS8Gb7EzjLNTT4lK0rz0Nrcsd0P7ufuA0VlAKPIEx+wDLu7DgbBHOEGF/kfrXwd+LYk0AAAkESURBVDwGjDGGyU9xyl23cdnPezNzKlqeV6OGlu1o+UwAho4e+ec3gINEmLtpa8sz0P7iKrTPD88YPYrKFO+RuHU9aDk9hFOw4hu6OaaiMshdxrCJH3fvxP7ndqGq/WU2D65G632YD1GjfdKrQuz7NZehLslRfdHdaLuLem9aOuag+T8Z3eG0zIZx+afsXfnpnH1+c+/4C4585uNT7khx741Eu0P+G52M+VuK+1qh7f1Ie3w6WjeadMbNuaQFLULOouAWlt6FDlDno0rMWuBxEckSkWFoBboDdd/7mb2nALU2O21/hjH177KYFopDd/t9KDpgn2ePhUS3pXp2xFUyhJvV+mtgVgu0gZ2IDvCF6GByINEvRMwU996J9cBhxpjj0QZQhA4+UfGKGWOC76u4Ec3/l9GKUYUKyP8U3f74P4ad/UCEbBFOYIw5W4RT0MFtEfFZsAloHexrjyehZV3Uv/PULcQbxQpOpRdXso1f0YEZ1K15sO2scw564JE3rzz0g5zsbaejLgPXTjxhz7d4hA+IyZU8RiHteQ/4FmOWofncAW0sTjhbiTHLUWG2Alhoj7eynqlove/DAAz3MxzYwg1s5jheR32gXVomoeXVnTW0BJbYcJbZcL8BZtUhpd+u6Tx29ON3n3r1s7f86O5xo8MbAEyyedKPlRQAK2w4i23cF9q0gHais4jvbjgJtfK0FOEI4HnGmDPQ2bJ/o0J2+ft7HzA9h9oDgaNy2f4PtB3Nt3GsADbYZyz6qnZAt4FXTXxp/ORDHr3oiTvDOyQReGarQweMX4d2nP0D51oQd8uZhHaMkYvXA5QSL7Pll/JH9x4/NwM0yeZFSbuiNbXoJhzBc7n2OVZQmICJfSucSh63cDTXsZRTqeWM/LMYes65DLnocVTB+YQxZgDQkTEMpC9CNu9zNa8CdTY+C3HKj5bLCptnwToVL7MvEdT6qfXkCXrRiTyOohUP8q6Nby+bT7PQAdfVqTaoQWuBfaarU8vP5sFrf/nofXMOu3X80Cueuu2ThNyrMhvsfW5hdCkqWM+18VseqlMLMGYpkJ3Hli9t/lWibjmvM8ZciArwk1F3m93tbHAuxtSggl5HYLGLnw1XFfvWVKAGkrnA/f06Tx0IzLPrLTbaPMgh3g84z4si4psIBNtZISn6/Xpcn2fMSltmZcTrn1PGsojX1YnE3YQXo+Xqnjme+DbTa/k1BzCa1ZzN9ntO/1XdWQc+eFe7lqumXXzkHQkv50YH4x/LWUwDDqVr/aYFmexoGmYSWnbtUIH6MdQQ0teeKyDRXbUx4fZG89/NPs0GSrc9kbPhmEEvP/vToY/fa56UNukCseF0RA0crp/vByDCLxhjzhfdSKGNvbYHyS/abYjd0NcTTL7JXPcvjDlIzhaDMXcBf8VwNmu4jxpGEe8bXZ+2zNbNJWjdnI/2m61tfFoCPehLHo/xDU8yl0f4mHZ8bJ/tymySDbuDdXt3/cBKAv1ANYXl474a+czxf3rphLMefOgsOdX0FGEMY8w5Igy14eQDfVhFYSB+S2048205lBDfmn+BffZEtKzzUJnql4wxe6F92CS0HrfPya4FHUPbAxu2kbPhcN5ocSZjcltSXY0KwSOBYfbddYPafsiPUKPb66ihbBU6Nrp6kn/dCTfNRw3M7lU2k9Byd0bmD9C60LB8eUb+TzjoZPh50fkRZ+vlgQbDSWQG8dfUgOZXOxsnN17sRuNn3CahSk6fXZjRhmCdyqnfiOMSog0zbk1xNsHNSfT3pzgD2wZaks08YlKMMOuWw68q/+nQx7tddMSduz909qiuqKG4NboLdsEpPHPBZfzxy5nscjhqRFiJ9t+foMbNImDJuQc/MJsf9SzjgJ/34GdtbqHKPCzvcjVV5kJ0J8q/mAM5lZhcJ+/ydd9PyDthMnkF7zMKkZPNGF5C5HGbhkV2LFxH4po2UMNDSxsHzNPzhF0fwDy5TGw5FJLspgtVZiYqW9egxrwwE9G+O0GWFUHkVDOk6t4n/3TATe9f34h3WEK8n3f1xBkuF8ynWxd0jFppDAtSxKcNybOVAO9Sy3sYNqPeVfUYwyZUtnfvinN1KvxaqPQYO3qm+gCvooP1nfY4GxW4DXCx/S/ffaODnduNaxiq1BkbTiGq2Rr7aYtaHgwwM/DMifa/u+zxa/b4wlDceqaJ97zAc8KfRxtI8wB73WagLHTua3vuDHt8oD3eELimr/3kh+493l47L/T/Pvb/dUCO/W+K/e+EwHVlNk4GGJCinG60xz0C6S1pqJwb80mTr/7jP/7jP/7jP/7jP/7jP/7TiE+mMngmU3MPoj7aF4nI/qhloBKdHXrKXnOliByLWmS3Ep8hW0f8/SVD0Cnc4aHwX0Vn6HqLyFskWpwd96LTin8QkX2JW2BLSH5nBmgOdI/6P0PcrNaToVkt0M0Z+gO3isgQ1J8XEnfDcTOGg4BJItKX/9feHbNGFQVhGH5HECwiIgQs7ARRsbIX0gkWC/a2FraiRNDGysI2v0JsbSxEEIIIIiksglYKWilE/AGfxdx1Q0hEjZIDvk+1cJa9l7vVd2fOnEU7EcDydJTC5yS3krysqud0W8mTqvpGvwX4SPcxz12n36w+TbKznXSd/p9uVNVJusoCsJnkd6cnSZIkSRpILboTf/Klqqv0PpXTdClzA7iT5NW0PqP3HZyhg8UHYC3JWlUt0YMzLtGlyft0PzXA8SRbVXWRHs17it6XtERXpx4kuT1d4wodfs7R6fQt3S64fXDIvlXVMt1ac4Suar3ZsX6UPpBvRrc0fKFbaVYztbBV/RideiHJxjRk5Nkul3s/D5hVdYKecneZLue/AG4m2ZzWDzNtJgdmSR5v/6HqQ4Hv0fs25lN21qf7eveHj0OSJEnSAH4puP3zm6g6luTr9PkQ3SZ4FriWZLcDliVJkiTpvzFKcHvEYgrOCj2Q4xNwPsnWQd6bJEmSJB20v3UcwH69pkel36XPfXgIrBjaJEmSJGmQipskSZIkaW+jVNwkSZIkSXswuEmSJEnS4AxukiRJkjQ4g5skSZIkDc7gJkmSJEmDM7hJkiRJ0uC+AzF/WgQOBym+AAAAAElFTkSuQmCC\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "score_pred = 71.19243\n" ] }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "score_pred = 70.749466\n" ] }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "score_pred = 79.00945\n" ] }, { "data": { "image/png": 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j8Xg8nv8xxNpD7Q4RyQWqgAJgBvAa8CbwsjFms71mMDAF+BQ1iPYHKoC/GGPOihhuC+11hwO1qHHzKlBpzw81xswNGW4GeAzog47yLQPKjTE1IuIybQDwhU3X3sBbwDxgEpAL7GLPrwfqgAeBPGBX4LfGmPuTPPd44PU0WbOvMWZqmnwLG24DjDGL04Tl8Xg8Ho/H4/F4/gdot1MljTF1wGmo0TMSuACdOrlARHaz18wFzgRmoyNos+zt30sS5EnA0cA21Hi6xhgzGZ1+KTaOME8aY45BR9y+BkqB/ZKEOxo12jYCH9vv+UA+cAo6OpiNGlNPAL80xgwD/pHiuacaYyTNZ2qKLPvvEpdS4tK5pbeJICL0/wZSlJq4CHGpiKYjdL4/cekQurZHa6IRobMIHULhDiYuYs91ECEWOteXuHRsTTzfCHEpIC59UpzLJi7loeOexKWoDeLsSFx2aM2tIuwgQu52p6ElRMpMJCQ/49KNuPQKHfcmLtktjUKELBG6h8IpIS5dQufDcRQQl9KWxvGN4dqZrfNJzvcnLnn2d2Kd2r54B6eMMw0iFCTk53+DuHQmLmWtuVWEfiIpZsnEpXg75NbA1tyXJJz+rk2IkCNCvzTX9kuQwW1Bc3VK+6z2o/PEJUZceqY4l09c+oWO+4TlwHbE2YO4FLfmVhEGtnmZNUdc+mVcZq2QAQAi5InQLRROf+KSa89JpN9OXWbfBnHJJS6p26/K4yz7O7FOtT7OVstuEWIidN3uNLQELbPCFOdyiUvf0HHXxj6qhYhQEAqne1gfsLqh2HM5acssA9qPEEuCMeafQG9gAnAtakD1Aq4EEJHjUWPpRuAi4Pv21mRK5WxjzDZgsz2eY7832u+oETLbpqEOHa0DSNbh9rffXYDz7GeU/a/cGLMJOBs1Dp9GDc8vge8me2YRKReRW9N82kbZ2R5UQfgYeI24ZCNyICIfNZ4XuQuRS+3vfERWIY0V9URgoQhj/ospngzMJS5napK4AXhbhGzbgGYTGNJnAV8Tl+/JGWLcByB6jMhQRHa1YWajI65xAOJyGFrHLrXh3gzMEqE7cemNrtt8prWdTVJEyhGZitgwRX6NyG2h858jMtb+3g+RT0J3TwE+TyFQzgbmEZcf2E7gOWAmcSlEpMyWb1cb7oWI/D3DFN+BlsvO9t5FiOxufx+MyPuhtN+HyMX6k2J0OvLNGcaTGpHhjWlPhyo7nwDPExex9Xe9CKNsGT4BfGYNrf6ozLgrXGca6016LgYWieAMtg+BN4lLjgh7AStEONJeez8wp80MIIfIbYjsbX/vgsiyUJ26FpFbQtfOQ2RPezQJmEuyqd5qoM8CHrH//AStU5NsOM8gcor93c/WqeYdQ3E5AG1nV9l7f4fIDaH0feHaKCITEXk3dPe9wIci/DcdKPeiZTY4nXxp8hHK0Cn71zQJUZ1ObwAfEpfOacOJxinsBywQ4Rj0j78g8otkCW8mnAGoHL3SXn4BME+EoU3CEXZFZ8Kc1mz6WtZ2LkDr1JFNzqiMWQLclEE4mSOyNyK3ho4fROSn9ndPW4972eOzEHnUpicXmAp8TFwKaMrvgPnEZTfi0hWVA28QlxxExiMyq/FKkTsRuarZtKrsfhaV3TFESmz6ethwzkMkHgr3bUSO0J/sgs4mOitF2HkZGVgiuYi8hqRwEiaGuTOwALgtybks4vICcXnQOoyGA+uJywmtkLl3Ax+JkEdcBgGfE+gDJwLLRRhhy+w1YFqbGNEOEUHkA8Q6l0WOQWRq6PwjiJxjfxfZMnPG5OVoPTmoSbhxGYvK4+vtP7ei7WO0DWtOSM7vj8iMDFN8Dk4f0HufROR0+9vpA13s8YWIPKA/yQZeAZ5N6gBQ51NmeqHIHxA5u9nr4pIDvAxMJy7dROgownO2LwVd4rSQuIwhLvmE2llzsikxOewHrBVhTEgfmEVceovQE5U9The8FFhAXA7J6FmT0G4NNxHJFZGxxpgaY8yLxpgrCCqgazTH2e+/oKNo7jiZMlzfzHGUHV06oNEjuTTJdYvt91dAvhsZAzoRKDD3G2NK0WmX56EG4JXRgCxlBAZgsk+rvLVtzGlAMbA70BfdLGZw6PxAwI2kFAIxez3Az9HyaSpovjmusN+TrIf9Z8Be6Cjrhejo6CTb8VyNrv08KYNwzwyFfRhqsB9tvc5O+ZlkG+7ZaB7sAfwYXZP5PQiNrmw/ZegIsVME+uEcCyJZ6DTi3vZciT3GdnqHo+3qwIQQNU/csxyDjjrvgTpQ9kadJDH7Aa0PA5pNqY4UnYy228MQ6WDT6rxUfRrTpwywYQP8CM2/Cc3G0zwvo1Osm+NstKzGoc/6azSfJ6NTqccDPe33xeja2ROjgSQx/rsiMll/kgtcZuPZD82fPuiU60H2HMD3ictQ4CjU4dTWbekodN0waHn0IXBs9bMfEMkBygnqVGM7SxLm+ahMnGg9mpfb/4+234PQWQ2g7SSGyo7maGxn9rt/KH2d0DoTrlPleopBaH0uA4ZlEM/2o6P+k9B8OLiFd59r70tW548ChqJyd1SS8+n4uf126Qm3s5bwU1SOHmzl3yXocoFks18uQfuAQ1sRT3J0dNu1j2OSXHEZOvNlcpvFqQwjqMOgZeD6aCcbnSO5jECXOMLe2w+dtROgowNno/3QEagcKEHLdiBOdjtnitb5TGYujEdlVTHqOG5OdlegbQZUpmWRrN6qEfM58FwGxlshsC+ZbTD3c7TMfgCNoxa723MTUbn3AzQff4P2XxdHA2lG4e6P1olBwAjU+M8jkCdXoPX4ULSPH4Hm9e7RsLaDrsB3CPK6FCunLMnqVMzK0YvRtnRUknCdjJ1kHY9nos8y0eoDYdkd6APp0PLNRHYnq1MTUJ1rLNGBEjV24sA7xKXpzDZ15Ib3hBhJos6ZikPQ/rMM1VvORevwFdYhch7azo4CjkfzYA+s/t8CrrLhHIPqRePQuj4eNXQLgeOtk80ZcEc3DSYz2u3mJGjjeUtEZqPTGauh0dP8sv1eab8PQStkqy3YJBwu6h3rg1bG5ai3JcpHwLuoQPxARN5BG8M4VAjcB6wU9aAsRxs+6EYqTbBTIVs55C/3QWiqHvxORDYBPzPGrG5NmCnYO3IcAwoQycOYWrSSOqWr8VuEHqRrENr5/hR4hkozr01SGpcYiQ18H+zmNvZ7bOjcUIJONpMyCAuoxhHUqVeMywV2C123ZyhOaJp/bUUs9L0RzXs3faob2vGGyyUfkU5MSZueAQTCHZqmPRzeQhLLPh17RY6b1BegOyI56Eh5ONzovZkjUgrkY8wCq/iEyzAdjc/92bIds9F6BJqnYyPXRo/TMRT4OyKPgxkCoSk7oThr6zpEw21JHJmjeVJE0A7C5bHJfney/7m6FbOdoJNtyQjXm3KazopIKjPQNcLJUXkR9dAWouuJo+G4756qtJjW16HWsz3tPl16WxWu9Xony7/1rQgunL4K0repb0L+DUEdJ6nYJ8257UHbioigGwakqsdEzqXLgz1JdKonk7m5qOPIyfmaDNKaTnbPS0ifyoFMZe5ZqPHYH1XUlyScFfktsAhj7iSxj2ppem8BzhBhrJmS4GDsQOB8a+n09GgcjXLVOnkr0lzbVkTzRPM9eZ0KX9OFpjPFFDWEwukdQ6JO052m+kBHRDphTHWatEb1gSC9wW/3vYhEB1y6OjScYCnS7uj+E2H62mscLe63LYfZ7042nvByi1bJCOtwdc8WzXdQW8CdG04w8NRq2u2IGyqIbkE3EjkE9V6vQ6eK/NZeczW6kUcR6rW6rg3jvwM1HndBpwVONMZsiV5kjGlAvWJ/Rj0nJ6OesWeB/9jLXkY3JDkN9Q49i07tbGtOQr0GjqPtf8mmYmwPFajX9Hx7HG204UYV/i5HDfAdgRVJwr0I+D06pbQt07rFxv0hasRNA36ak12H/f84dBpBBbAarUtLzV1GANx3EsIKbgVaB37znYEfDiBopK/aOKajnkZjrz0L+GUbPickz/Nk/0W/Kwjq6NZImBXo+swB6FStCnQayX6h+1PFmY4K4H20LmxKk76eoWP3XznqPfxbBvFEuQAta1AjKQdXhrpm7NKEOe+J6f0xcMU1j19ZhvNcqvOoAt3IaCzQYI9PAP5q7jLSTD1yI9FF9r4vUCdAnT2+EjjnkfcndUc72++iUw4rUEfSKFRGthUFqCKUrr4kUzTK0bozGHVkRalAZfhv7bWr0To1x3p/3ch8sjhT0demdSTwQpL0RZWdGNrndbdpeJX/7sh/BTqlcSRQE60X4e8kv8vROvVQinBvw440Re+NfkLX9EYVv13QjbsgTftNlT57utzG/7j9vYKgbTdip6WWoZ7od5tJX5PvNFSgSykGoGvMEWF/EQ5H12L3QT3t/2wmnJYSQ/WEzqHjTNpOBapjNJ3Wqec+QdvSWnt8Beq5by7cdFSgG6S5fihdON1QIygmQh46yjQe3YgtyjhUXtUlOQeqIO9sfxdFvpOja4l3QMvsH3bd7yn27DDUUH8QlScxNP+PBT5KVp8S0Ol8buS6wj7TUSF94FjgD/b3JnQ0zJXDX9HZKW1JMv0pn8BBlkqmuf5iIPBlJMwiVB/dA+2bKlC9ZwjqmElVR5tzulagmwbq1Oimzs9k4YX77TvRafJRdkNnwU1r/EdkdGi6fBHQzc7MceFnWufvJhjd3xEt23k2PZ+jebIabW83o6NwLZE9/dF+ZRw6OFMB/ItEfeB84Cn7exlaZkv0MdlXhH0zeJZG2u2Im12PdmEz1yyn6VSMP4bOLyYycmKM6R45Hp8i+DXGmGQVDDsVMny8Cp3akCqdyaYOtTnRdH2DDELXRK1ChYsb4Ykh8hVNFb+N9nsQ8JYxfC7SOFoa5mT7vf0bXwSUA69TaRYQl5vRNQ5TgNt/M+mK4Wj9eBxV4k4BnqXSfExclkcDMncZkTPEhBpyEcGowyB0XcKsDtlb9wLep9LMIi6/RYfRnzCGqT8Y81AfVImIo426oQ2fNYYaxmGhmRs6t5Hk5VIOPESlmUZcoh1AOfAilWYxcfkDur7tV1Sa1+yUnuOThJuDSDbGpJuOXA48QqX5nLisQjv25OkTWWWfI2Y3Z+gPPIoqH4noOoT7UMXjBCpNdPSghGCaTpENw9W324Efoo6icY136PSGHdAyq31z9j77Ax8bwzMifIgqELdTaf5NXIahZfoIwcyARpLUoV6h73LgWWN4u0vHjYWokjAF+PL3z104HphrDG+LMNuee5hKM92VmQhiTJI8aRkx1GmWrJ6A1vesJOfKgbeoNPOIS+I6Il3MX4DmyTNoO3vB1qnbUENqc5o4U1EOTKPSfEJc3DT6zgT1ork6/zhaRuFRzhZjFdsSYxqnzadL78M2vctaEH5n1MB/gsQZFeFwf4k6QlqycUI58KkxzBBpHCUJy25EGA4sNSb5DBF7TQ80359G+4OTgJesnI866AagywreRI2TjIlOdYsoVOXAc7ZO/dFuuPI00OGlmQd878ARLy9HXxX0EW1L0F5EatH+JFU9jgH1dpZDOepofpemZVYOPGbb0n1o2cZR5bwgEu4iImUWJpxnZl/eBa6j0ky1svvYJOnLslOgw3H0RxXbN9EdvqMMQdv05iTnQB0EVaE4wn1UKgagxv+LqMN1JCpX77LnK9Ape9NRB9psKs0jxOU/0YCSyNyD0AEAN3X6UeCJO045Zyhafk+gTrHDgNeN4SMRFqGzgW6m0ryZcrOL1hEjlfwTcTpCsjpVCjxNpVlEXO6MhFkOzKHSvE9cFqB7RPyLSjOXuKxByyyVbEzQASJ16Cck6gNdUcd4ujqfY2c5lKPLmv5D06VKQ4AHUIfsoYhk2+smoLpZUWN4qmPm0XwdcvnwRyrN6zdVXtwf7b+uROXp2Wg7m0tc/obaG2ega6YTNnpqxngrBz4whjdt3/yIjfPfL/78oBLUUXUfqsP8iKDM7hChAtWpsuwzZUR7HnHztF/qga+oNHVWMY6hHgzn+VoJjTsHhc/1sr8xJvKuubh0QqeNHQbc04ZpLUYX6EKlWY0K68+NoeHSib8VYJF9jjU2fZ/ba5ONCEbpAWyyQqY3qlhX5eZsK4rEWYx97od+cnyGSq8FAAAgAElEQVQ2sJJKs5FKs5nKpqO420E4r0EFRV2oIw6fCx9H8yhM+NyaJMfRcAvRdZ9N1u5F1ho0F074uBvamfSwnw3GsNYpk5Fwf4i+4uNQdMpRlKjhtggosusFjke99lFFvhBYTaVZR6XZsnxdaU/s5kbGsCLhWVT4LrB1alWS+KMUo17dYrT+zQXY+Leum9B1ckuoNNumLd61E0HbaVIOds3WEhHuzSDOdKQrB1AvvLGjZC2pQ0uoNLVUmnX2+kzLPh2JdUi9v0KiYZmuzs83BpPOKEmK7ob6Y+Iy1E43fAzdcGlcM3dG63ymFAHLjaE6RVo13EpjWhhuMXZ0yhjW2TWBa7GjRyLsjyrGzzcTTi/gC2PYatOXGG7Ta+fZfG/L941G69/RqPxbn59bU4oqsca1SREGiHByyl06MydcpwrRzTRS1WN3XEj6MgvLk83o6MsSKs22UPvRcPW9tu6a5shE5i5EDcnM2oo6ygagowlPAisQGdy4QUsQbu/Q70zatspCzZ/V6EjJ88ZwJjrLqg/wGZVmK2q4fmafK+p4TEYfoJftF3uh/bY5Y9+7OwALI/rAXABjqKL17bc50smpwjTn0qWnpf1262Ru8+G4jTm6E9SjamOazBIZBLxJpdmGOlyK0YElt7bPLVcqRvvnLwg7POKyM8l31W1M7yUP3lQALDaGjcawgFD5oo6FGDCfSlOfpA9LR2+CerIqHOeEG1/MBlYZw3pjWE1TOXUcKqcymerciDfcPK1hBZUJLwAMN9YYsAaQ0DC6O9eRYF1iVOEeigrNZ3E7xLUNHUmcltkJFQCpzn3VgrCz0AbfE218X6cIN3wcPbd9iJyCiNtIItyh56IG9jrU2EknYNOlKd2zRMMBFbZf03wH0Fw40Tq1Gs3vhDqUhP1QD9ZlKc6XoIZHNqoQz7Hfw9G86k/TjYPS1aHo+Y60rA4Vo7vxFUfu1eesNA2h43TlcAWqkBzQgrgV3enNKX7OqGpaDqokbgU2oJ1nW9ahBSROi02qRERkRjScrqi3d4s1Qpqr8+nqUTruA/6EGjS7oCO0XwH97a5lfxDhiiQ7p7W27TdNa1x+Tlw+Ji4HA0KlaY0RFA23kETZfT5azzsluTddOM3Vhdbme3NpCMe5K9qP7Nk1f0MHQm1ShE7o6NG92I0vwohQKMJV1hnSHOH2ErPx5IXOhetfF1Th1FEIzetUz5JKDkTDLcSNZknTjUEi072ak7m59nyMzNt2F2CNdUQaKk0tOqXyRkSyrFypIjxikpmBEI2zH7pkBTNFFgObqDSb7LlO6PSzTHEbafQifd/cKXKcxzdTd5vr+5aSOBW3tTI33C+11nBLVocWEV7v3FQfWEXzMrcL7p3LWtfL0JHG8KYsnxNszrIKt54xLmejI8Gzk2yOE05vJxI3GAyfy0frcXSpSHJEOiBSjcgY0vdv0XyPXjsa3YQn6S7zqWi3UyW/LYwxJxNM2fMkZ4vdjGAcOtUjhq7dcItUnaDuROAxGoYqARtShNmTYLRru0ah7HtCLgEWmSl0BDYQlxFAMZiO6FQN0Ea0xW7Pvxs6DaXabkPcgUrzYZpIOqFekjVbyS2ChGlqLtyhwAAb55bIuUJ0QetbcoLJR9cdvNAiL7QqV7egr8P4DC2Hj+13T7Qc1hCUyzyCNT2FwNu4RcmapoOAL6k0n4Viced2RYVrR6CGuByOrrVy4RbZ+ed1oTjBve+t0qxKmLISl3dsuPuiXn4XzvhQ+l4lsU7V7shn3WezU0L9iIQ7B5hMpfnAjuJG6YjWwxhaR+ei9Xgo8Iate41rLEXIsnVoi53yt3dhwaqeazbFqiNhVtvtfYsI6tQuoTBT0Qs13Hqh7SVaT7oA4/vFFhUvWd0/HI6L8wB9HrMvuh4k6dRbu0Yk13oEo1yNzsffB+d1DHYnLATeIbEcNpNYp/YPpXcY0IdKE54m6tJajI6CdrXXjkYVkm6ose/6o0JUFgTTkeKSTWWTqbcuzsHo1KnZaN3LJVhbMY9gw4FC4CXCdT4dcRHnoBJhBNDBTJE56LqkS1CZtjc60jAJHRX4GboW0qBT4cIOLpfeA9AZC5+mjT/xvqC+xWUXdIflz9Hd0LbZ6bwT0KmjmYw6BOkJcOXbrYoeXVD5NJbmd2COhpMub/PTnEtLdMpbZArX3WjefkfjN0OAW41hLvEZo+y5vsDwjrmbc7bUdcpF17vWo6/vuBet15PBPILK46Ho6H2AiFM+D8EYJz9fQ+vaFrT+OceQax/9QqPBa8hqrNc5xGUCMINKE96Ex9WTfUiUA/ui08cK0X7XtcE1Nl+7W5l3OTrr4eZIm3FhHY72Fy59ve3oUwNa/i7cBej6tITyDOd7aR4s3UtfnRRikE1PCdqmvwJ2iDhym9sR0KW1L7BzdlZdl/qGnHmhc9W2zg9D+7pq9D2kfdL22zbZqKwojTybi7ME+E5+bnWXmrqOKi/jjeWXbZ0ln8gJ5it0049ZdjQlc0T2B2psHXJ54mRuN7T8CtH3Dq+x94TzTzfZ0vTuAWRRacJri92zDLJ55I7HEWxoM49gF+lC9HVGrt8+AnVi3h/pX/9Eoj7QGTWiskLhhB19Lv2F6Mhoo2EUab9vk7hhXxlaRuERt7ft90a0ntZRJHn8gUvRae+lNMUZdxMPHPFCp5dmHrQpdM7lyV42L6vt2sqxaJv8ukloAf3t/eVE5XMQ7iGnjb8r+29TT092bncgx8qpXxrTsmnjfsTN0xpq0Yr7FLo2qQs6lS084lYVOnYemDxCGylEvIEFwFri0oW4DCQuWSKMs57Plr4k91Z0/v5P0AZZi86d/mvomFB69rDP0h0VLL9EDaJ0uOdcs4qiElRAOVwcx6NrE/IJBJY7txPw1OfLh+yEdsK/JfUoUSp622dwO3UmG/kMl8N8Ak9Yd7RziIXSdC9NX4Pgzp2P5olToJ9E1xYk8/5qnHGZjCo5y61CnyzcP6KKbtRTFzawGp9lGLOKSb8ZRxH6jjyoNNXou+2eQ6SbVbq22jSV2Gvnox1/V4JXeyBCsV2/tuHmZy90G4AMAZ4qK1xaSuImLu5ZHkFH/LaiCv3zoedJRTGqRBWTvJ6UAk8NK5tVkSLOe6o29TgTa+gaY3fj0heLVqDvfxuCGqhfiiTdNnw4MCykGHxNsJaquTrlzrn0nErTqc7u3K5ovelpjy9C14XGbJjbbGcfhKsvT30PqCUuP43IDBfuJHTTCReOm8KTbERhZSS9QGQkT1+S/QLawV4uwvfRtVFT35k75kDgYyrNTeh6iAqb73W28z3Cpkd3lRUZgsjVkXy4Czg9STmkIiGt6AjfvVSaHdF1mbWo/HwSWrTIPUEeEyrfFzloIGqwzTam8Z2nmYYTTS+Rc5l5tZshRV24BHVkdSHY3dDFOQF4DmEscLcx3Iqub7oRu9HUg+/8YCTqXPgeOnIfZUcbtttsIzzDwNW/ZLMcuuAUzgJKbHo6of1OdPtz9yy/QzckcXLgSbQN9USnNIbjdG3yQbTunUrTkdIOaD/1OFpPw+nriTrQwm3HOVMSyjO88cfSvRiCOvKGEJcZViEdiG52MxB1SH2NKrYFJLbtDsTlIeKyjrhcJjrOu78Ih9XU5XWyeXQA8Exudl1XgjV0HW16eqGOyhH2+BTUgdwcpfY+Z/xEZe4ewFNdO27oETqXY/MuDy2zA9FNup4BMn1vaZirCV5dEJ7V4KZ6h8uhiuSzHFx6r0JfTxPGnZuI1ht3fAval0f1gW5oe4kRl+PQtdVnELxiKxruBehGci59tUlmOTingqubWeE12JH2q47wuLxDXG5FDbYPCQy37midLyKsZxzMCNR4PA51IBoRjhHhzs55m3dFHWe5wFN7DX5nLE3l1FaC90BvRXWql2i6226UQegmL85JkaxvfnSfoW8enOLcL9B1h2E5lTHecPO0hmCktq5xOlBU0CRT7upIPcrrRrCOARbs8+s3dkV339wf7WQywk5POhIduXG784Xj3EawZXD0XD2ZbydchDXcelLVM3JfxnFeHL9pDDpFYAfg98SlH/pi0feJy8hm0rAj+kLLsOHmhHEyJXYlkBvqHFbTfLlEzzWQ+NLwqGIfjvPXqALUn2BxeqpwY7jF9+r9NTStU2t24rMuKdOq6eqAetFvtx7r/dERtb1RobzCfnqjZahTLgwFwCbicipxeRU1+j8BRnfrtH5tOM5sqY/Wk/CzNNCyLanDhlsdKepJdlbqOJev7ZMHLDPGjrbpXP9P0ZGy+9AdTN9GF2Mn29xiKFpv+hAo73XWiEqmJIbLZTmqSLWkDiUr+zUEntlwnTrbpm0g2pGnCzeZYbkYfa2EU1pd2hPujSgRJ6HluCOah+ehU+r6lfea3xl90XoeUACmG4nTZivQtTjTbXkcDFyFSEkzeZSO6H0D0XYP6pVu7cyZZPlXBazZQNd+wMoMN7tprnzDhGVhWxKNs4BA0Q+3KxoasmLYNVFmimxDDbqDgL0ujt/UA3jTGF43pvElzGFGoKNeI+w0wK0ktoc1JHccBG2nmu6kL7Pws5iEa3X8LJtg+lkQ565UoG15LDraHx3ZrCdxs7bmnDJVwNZuOhCSKr1i05iPGrOdUWV2qv3ujRpuX6OGVjjOSej6uAPR0eNrUaNizPwV5Z0JlZkxje0X+x3WXVvSb7vn/gw13FL2zSImfC6h3r7+2fie6AyFPuiGExCXQ4nLJXaUKzU6GltCcoer9kNN61RL9alMZO4KoEMSfeAUdNbZCHR3xHThppPd0f4iE1nSDa1DznArDaVvFcFUSY2zA0OAT+y6xI1ygtkbdYK/X7stL2EELje7rp7EehMuU0PL6pCuydPvqExrzKO83NqoPhDNvy4kjtZlRLOGm4gsFhEjIt8P/Xer/e++lkbYnhGR8fa5kn1Ottfki8h1IrJIRGpE5FMROTqDsCeJyCwRqbV5eknkfH8ReVJENonIehH5p4j0Dp0vE5G4iKwQkWoReU1Edk4ST56IfBJKd1u+4NmRj3obFrOEzmjFc9sLO4GyJXRcg3ogt5B6EXUtoXdqzPhi5BHAn41hH3TUKlO6A5uMYbkxdr2Lxjndng+nYQvqQVuOCoUaezwzg3iKUEG3uiM10R2mXLizCPIiGudqYNnSqrK+wFS78HsF6sWaiXpkmhMkQ1HFspcVbvkEW+vH0DytCx27TrvQPqsbYXFp0jwSKUVkFSJ7NzkXlJM7jkXi3ALUU0BvdBTrPbSDixoM0XBjqDxyU4w2h9IXQ4VjzRDmdCJ1HXJkoZ7qYTbue1DjrQQ1XsMjbmuATVTTwcZXhnqsRwEPGMOc0/f921yb1jXA0g45W2tJ3AEqXMfq7LllpF7DEqYnapj0Ink92Qgs7Ji7ZWvkuRvj3FRbkEOiV28y8B6VpgidPz8GuN4Y7jVGN41oRKQAzdtP0JG3IjTv3SYI0e2Xa21c7jgLEOpxeTKDph20S+sKNO/dteGyNwS7zbnyj2HLAfci+abh5qHGSy2B7KkNhSNoR1lIsDW9q6ep6tGuNs5i1IAbjI6qVRV3W5Vj03kqUJWdVe9GBtz7fIwxCQvNd0d3e9wtlN5ptIxoWrsDVcTlr+gsAjcFKTplraXhuvyryaO2mMxHxqLhpMvb6jTntodo3jYQyDuXnkXAxgaT1ZnAqOtCoCiPyc6q1410UuOU2RFofq2z9zuFsp7Evm9j6Hc1UM+2xnpZh/YRILIHIjMRKSRRntQTkgOsJs/el0WibKylhCE2vN6osyG6W2U0j6Kyu8aG5Y4NsGkwc3Npvjy3ATXWsCxCR7QGEYy4fW3TFUP72h5o27gL7X9noLNkzjSGXwzvO2u5TetiYEOWNFQTyFwXZw26ZrDWHi+guTqrDpx6VD6XklzmLgNW52Rtq2k8F6zprwc+/c+8PYuB9+xGF18QlxPQHas7E7xTLhVuBsR6RJwx69IRQ+tmWJ9qIFE2bgzdE5ajIHIxIruHwptrf0f1ICe7oak+MACdBXSqTWuYZP12OH3hOuXqsqtT20RS6jSuTN1U/jLU+ViEyrv10Li5h+uHNlNPCbCRuBxMXDbtULhkEqo33rutPudpm48NwMyC/E11qJMxHKd7lnrcdEl1VDbHIHSTnEGhPGmSR13zN9SlOmePo86UjPAjboksRd/x4D7h90Q5hef36JS2OrRzLwEeEV2kmBR77mF0VOUhVJG4UUR+ZM9noaNLhwP/RgXrJHRKA6IemufQqXdz0I5jH+AVEYm+zO9aWv7W95bSk0qzBHidL+iGKjb/Imi4v0CHrt3xx0BxFvU1pH5PyGbU2/QCsLCuPrcvdutmYxLfBRQlYZrTid2rSGwIW9AO7L7IcfC70nyAdng19tzdGeRBDN3B8Ar724g0vi9vC1BIpfknKgiSxTkbeE8wJpLeMcBv7H/N7Xa3o72umqCTdGvcYqjX7ILQ8XOoQCy31z9O0AEUEuTRQbh1HKnzzx3HUKXfxfF94GoaGjv+jmidjO7wGI0zho4ilKAdx45oW3HhXgUcPYBFBaSqQ9q5bsO94kHHn/YhWMdWgm4rfZD9HUOnkQy2Kwu72GNnNLrO2pXnXOCdvJxaV0/Cz+LyZBtavv+hOUU62CDlfrRDitaTQirNMuCljh221KaKM1aweiuJ72qsAKYSlx+io0cxQls8Rzb42AlVqjaghlsMnfI5CpVXxejaB1cOp6PbYrvjF4E+bEBseh+g6ZooV+enox2Wy7/77PkYKm/H2d9FqCLnnA0GlYeXpgj3MYJ3E52DesBd+qaiCmN/VNmeQmKdT8fBaN0Nt9GNqHI2C1gvGHcMdiQgsinJrvY5neEWfu5MCW+3DVo/3UZKpWg/vg2d9tfScMN5EEMN/cohzMkn2Bm4peGky9tM8r01RPN2E8GLbl09eQX4MksaNhGUmZu6VAK8tffgf+9I+le0jEANu3I0v0aj7cXVt2vRnZHd8czQ74NQ5T48+uDeK3cEqtAdSHJ5sgx4mcV0Q+vyk6FwfwZMZhNdUcdXD/uf2z03VR5FZfdEtO9xx38HRlYwL4/UZVYNdKfSzAIeYh5d0bbSFx0Z7o3qAmMIRtw+B3phGhXly1BZvxGIiSCbazvV2Od+DVgiYrYQ1McadGRmDVrntwI9qDQP0fzL40ts+kYSGG5J9YHsrPqonN+GOkkeEjFR59QxaJ7fBTwpwrEizBXh4ySbFO2KOrGWoXI2huo6bsfj0aiz0ZXDDagsitapxPIU6YtOv/xJ6FmeQ+V7srKP6gOPERhiWeh7N6PvrEsWzi3ozBqXvnCdOhKdFtqczN2C1ttr7XEZash3Q8tpsI3TOUiuBo5hFXmoLFwJbBYx4X4btG13AuJdO27YSuI2/+Fnqbe/v0anvzbHIFRXL0vyXI3hdu24oS7JubDes4nM5WwjbWK4iUgPEXlERFbbUahFIvIXey5XRF62I0VbRWSdiDwlErzkVkTGishMEdksIn8XkYfsaNGtoWsOF5H3RWSDiCwRkZtFkm4+4K6/yo4MJvtUJrvHGDPfGHO++xC8s+Rjo4tIQRUIgDOMMWei7wMRdEFwKi611/zKGHMSwToit6bpcFSBmmmMOQid874E2FNExqMjKyNQAbW/MeZEtHIVoWu33DOPR99FcU2atLQFPRs3fliVsHW6W9Sc7DirmK+3osogSbZh3gD0p9J8BWwSzDYS32qfkoSXbf59XRbQUYT+IhSigrx/6PL16A5VrFjXa1Pk3EZ3LgOKUAO8g/29HugnQnZDg6SMc9riXTYCO7jdj/oVLVkCHCBClgj90DZZjwqwY5NFHFrUu6O9bghuTY3ivF2OaLn0j5yLpncCurPiQQQ7LYafpb/9FfbEJsZRTTe0TEegHUKUaJzh9A1IlfZy5ncEeovQIcVW3lWoUH2PTxtHjA5FjZl+9vs7BCNunQCxfr5yKs0MVNhPAyaLMHDCjc/3BMqISw5AQcdNm21Yrh6H86iGzOtQT5u+3VADqTFPjr3tYfUO2i2Oe3ReW50qztKey2qBPiIU2FGfjTbsFWgdqia03iUyLXA4ajBdSGC4OVKWQ5PjNRjC5SkiiDyAyLWNaQ2m2EbbXTjcMsKblBimoS+efoKmpKtDbtqOI3rdOlLLounophRujdPnwMEi9FqwcuBGYBiV5k1ghYhxL+YFlfEb0d0lczdKl57oVKq90NGFaHozZR3Q18oIt9nDLgRra9a7Z2khjffZcBvzb0dm59k4O9o61Ww4do2Sq5uNdTXiKIjG2VYkk7mDAGrrOmwg1Cazs+pXo/0tVz921UZUDqwA7u1ZULWJYOv6ZAxHja1eJDpIozI3RqAkdkHbt6MQlY1hOXEw6gQ8hER5Ug90Im5nznxN2FGb2AZn02DTtxidiRElyKNN5BAYr277/6ThDufTLBJlT5hNQC/idlfamfRBFe2rCZyJO6KGnBtxA8hmM8vQaZ1uDehVaF/x3huzx7n3derFWfUbsPJITjBCsB4JVL41XtsMpfZZLrK/G/vmleuLE+RSXm5toz5gn7vx2r0H/3slsKcI3e3uox3Rtn8d6oS6BR15S7Zb4GhUBzzC/k4np8J1ym2FD9CdeqszBRyBru8fw5YmMjbaj6fTB+ahOuidSdKeTub2IRhdisrfRplr5Vh05C0abik6Tb4L2lZz0XbqRtyUL8lB69c0YObwsk/fA84Q4QciHEzouXt3W7HF/bbxh+N0I3OZvkN4EOqwKe3FilpS9M0lPb6qCT2zq0Ph51wLVCQx7tPSViNuF6Eeh3noBgez0c7KxVGCembvQochJ9rf2Kl8T6MC5320YBJeWC0iB6EepgHoKMFSVNG4PU2aTkWnCyT7HJjmPhenoJ5l0MbgcNNgdhXd7MCtQ0q3HsntFvRh5LuffX533o4wmfAb5HcJxZkL7CIiPVEvSWO8ItIN9dw/io4EfpN8iY5kCGsTDDfnZXH0Jugc2I0P1gJjRchCjYMw84CRxKUXIPkdauYAE62CXg6RF7CKjEPkJjvVoBG7JuMhtOP6D1rfvkvgMV9g01A66vJp3YFC4jLEnl/S+FzNUxT5vQDthA7auq3DImCM3fVKQnH22PUX03ZEPeZ7AHLL5Av+Y/NsLSqoPkDr3bN19TkiwjkinCuS2CYsQ1AFM47WE0dUaEbLpV/k3MLG59Y1i99D6/xwlrEmkifBtSuCskWV7fCc8hi6ycvrqAcwum1xEE5wvSOshCakvYjV3VDv2l40rUOgSvcFQF+W0X01hdcL5uZF9H8Aza/1qKfWGW7KNNYC+9odxXLQTVN2Az598ZMJeagwHgPIsNJZS9FOO9emIfwsa4ES4jKQ5utRuO7GcqhbCOwtQv4j7x07Dp3atQ8gYyre/QrYRYQuqJLXGGfHDjUNqBf2enR+/3PoWpE9bNiLgHEidBJJfLEoKnevRddwRQ23aD1JXafmswEYS1yy7XMfgI4CTuB08lEDf4Q9F8iPIKxkcebzAfcbwwhjeBG7HXiIhcAeVml003xSpTdZnf+uCGU2XWHux9AFw9uoDLkZNZIW//yhG+YCuxCXXwNFebm1M4BK+w63Q9F1D38GHsyjdje03mcDIzBN6nymVKGK6mi0vk1FZcQVoXxoTbgLgdGiL/h2Hn0AurO+B9qPX03gBU/FV2j5Dieom9+1isoBEUfBQmCICMX22rYimgezgGNF2Peyh6/fAgwjLjFAunbc8B5wuggX/epfVx+JzmL5GdBt351e/wIYL0KRSETp1n63FpXzz5DY50frW18SyyMq04L0zqYH6py9FjiA+qDd2+uD46o0/e3XdEbr32y0/UVHvoM4VyZsXJJFsAlEk3CP5PGtQLkIvYnKXN3+f1ljuMvog06z+4195t7o7KRtNo4g3qd4FdUbPwA2c7o8xanZgzglb7dDdnn+PWCo0wc6daheAOwr+rL7/Ujs11cAu4fkQDr6oAp6nf3t+uay71zxYVcgZnepld7dVnxBoK8cFM6/7w59ex3wMlr3/4TKibOAV+vqcwSVfV8aw2a3TjSkv+yK9l+H2d9h4yedzA3XIWEdK0msJ99HnVyF3EcRMMru/u3aXSYyN4bKr7uAO2j6frFM++1cmuoDrszGkThlEXRG23hA7Hh3MTqitYpA14VgxE2ZiUGdnzcC/Z65eOJ76MDFBHRqZWN6xw55uwod0S0nKM9xoWdZQCZyVGfI9UdHyhom8chWVB/IIaIPDCxeVIPqe7tFzzU+gRrxTV5Lko62MtycR+491HA7FqtIGmNq0eHSGegDuPVD46xxdBjBjjHfsyNO0TVGzoCahipGbiTspFSjbsaY/sYYSfE5OYNnOgytMF+h0xwd19nv36OeHhdWOi+dU9A22e/NoXO9k5wPX9PbGLPApkFQ43YNun4nHO/tqIJwVpp0tBUL0Gmkh9vpGbcTbGceQxvDqWjD/dSee2ESj2xCheVMdNQDABHy7ItR16CK9/CjdnvsX+iGEpvRih4gMhjN/zXAA9wtxxCXvxOXXxOX8Zycfw57XFjCfkeVowKhcdqlPT4NeG3F+hJQY+0ZVMn9wn5nMlRehC7i3Z/AcLsOuGfNpsIFqGfsQ7RxL0BfCPsOasguQHf/2q9/0ZI6TuwxhIMO6cpJBZcCF1PHcdRz/F9fO3M5Wp53AP+yHu0KgB/KA6XAQqbwNoN4xebxE2h9WGzz+XhUWLjpD73QKRhlqHDuBeSh657OAa5mHj3I4xGmcAxl3M5b5KB17TX73AtQz+hPWU0BqkT2ItgB6hx0WmRMTjBd+v7ki2fLzv0yLieY9yP5Nx/tZG5lC9mot7IXOpWtDPVaunVyMVRZOtP+XoA6KaI7aYHuKnYa8OO5u1QsL2L1GUD5QBZNQ+XUD9FOs4TgdRW38Ra1qDxcDnTldFnB6TKSU3M6crq8b9P7D+DAw0c/tRT1pk9DlYgF6G52F22GyZwAAAykSURBVKPK0lJ0R8nRSdIXphj1MHcD5oxkxmq07Xxkn30BWk5HHzrq2VVo+/8PdgMftG640fUngXOBSVSafzODP7KA/Wjg56gz5w5UQS0T4TruNleLcBrCKk5gJvezjQIWod73UnRKV6m9t5fNl96obD8MrfNuZ7cHmEYNwVTdbGAyMT6ikDep42RUvj9uy/ELVOl9yaY9hiqul9s4XX2eftgfnt41a7Kp6XRK9R1yQuOsB0TIt2F2RmWiU3KOQLfI74V2+r1QR04paoD1RvubBWj7fQ3IFqGSu81tIlxEpdnIZBZwIl9xAr8wyMsz2Pndxzjypkfem7TIhnclUNezoGoqbmqq5t2tqNwam0VDCXAtxlQCr1PFKnSnNteHZIRV/FwfcDnwCoaP0Q7/NXvut/Z5WsIS1EnxPqr0xVCnzcn29/NonT6umfQ12DQ8jhpAC9DynUFo1FYEsS8yXo+205NbmN4EROhrv8fbOEcTvCz8A3S32tfufOXsNWhf/QYw+IJDbnkTNYR/h7b5W1EDdeLRuz82A63rK4BzRNhZhBtEuPAartiZXvydKQxiAp+RRQHaTvoQOMt2Qx1VZag+1AudalyGOrhHEsiwG4DT+JwSirmWKZxBjBdYzAa0Dv/ZPssC4C/AUWygK6pU90LbWQw10k4EYoMumH/v7S+dM/uSB298KMnrJhagxv75rGo08nrZdJbZdO9mw+yJysibhjKnM6oETwVOEyFbhP3sqEYMlStTgKOo0qUjGHMlKh/6oJuWTEIV+5loG3zx5Wf37zz4ojkvnn3PHR8OvnDOH81dRshqwNxTKwQ7Kb4ODO3VfeUcm7aFaJ2ajzrXjkcdeV3sczQ3DbcU+BU6MlRISB9YWtUXVDY9C+w+st+MJeh0z5moc2c+2nbPAODUnBM4fM98TuwxAfgda8mmmp/kZm/7J9o3XCbCGbbf7gQgQhe+wwPcxwn8hf3Zq9G53Bvtv8tQB1wZgUwbhTojS1FjphfwLotYi+pGj1CHkMvXPMB57M+NfEoBWrffQfWfBajsvp1tCNpP9UL19TJ0dK0XkN/hhNpFx/zhkacuffCGtwectzC6v8AC1EHzqj2OofrBpTac1204HxGMmo0hqPO/QvtRRNRxanc6nov2zbezxq4zNGYsqicNRNtqDxL1gbMwxFBd9GKbhxuM4e+cLicZwwc2zmuAHxXkb25AdaPnUcfmfLQvuzf0bLeTYqZTiBJgPsb0AO75EX/JsWmbjspPpw/8LBTuQ2jbm4/qH24Gyfvo1P6W7OOQkeG2xX6HNxcILxIFFXwvokrbe6h3+gERyRKR76IeoJvRzP2hvcfNoXdW+RxjGucNR9eG9LffB6AjZmfbY0ELtQmtmSoZ4Xz7facxwUv5jDF3osr9lagC67Z1TvZ+JId76WBB5BuCBfvR/wtC50EF1JGoJ8ttxRqO9wS0PB4gcW3eQyIS9ShvL9NRgdyTzXQDvsSYr1FBXYSOni3GbQah51Ycyz8N2gHsBCDCLdxtbgROEn3P1HNo46u+a68zVy5kwItTqHz5M3Z8ApFR5m4eQeT3qAdyDzmd64GJdOQCtH5tAIaYe2uEEbdgXnlMUEG8jmD75umosjI4dFxOsJC3PnRtOmJoI5xjf09DO7teZT9Ztt4+v8v36WhdHRo67oed22weWCv0fR5z3ybhBLI4mTX8kJU/vu+Ohzlowgj2Oqee/Y6uR9vPWdxt+j6Wd1QdUzDAofyafAYyDRV2KwkWgi9EhUZvYK0th2X2eKk93kwVn6NGzRB2op572APoxo3U8wOeteUazr/OwACq6Ax8ZcNZacNdRLCr1HVLq/oes7Sq7BRgqwiH2XLf04aTBexEFXnAqlD6StA6tdKWR4ygTsXsvTsABSL0FuE87jbHiTAc+Bs1fMI2Zky+4x/zgYXGcKcxjetR3a6SfYAtGFMFLGMrhQSK0tuN02//tk3sSIGLs9veg9/ZbJ/TOU+mo/WnPHQ8mOY3YSi2+bcB+PpyrvsanbLhXqg+3eZprHNetRtVC5/LwdWpU3OvYeR1cMDhpYjk8FuO4ipWcSINtfd32Lr7oPf+tPvA9944eOSzOwDjjeFXxvA3/kEXDmEUOVTzJ+4HsjBmOdpuStA69TUqZ0rQ+uTq1OrGMpvVuOuX1pMp9OYPzOM2VnA/02x6B6LG8kL+X3t3FltFFcdx/HvaUltQgYCERcJSQKSFuCRGgwqa6ANxazARuTZEQ6NGQlwQ3MAHJUExCihulFgi4IJEWfSFusSoSBOhoSJSSNmkKKICAVFQ/z78z/TeW1sKrlV/n+SkzL3DzNy5Z+ae5X/OeME5yVPJBC3b4z4a81QtQ1PA04ePFE404+0QeJkKuw8YF1J2FL9mk568pHBQH7eT5KkGsvMU7Tm0Pp6/gXhemIZHcczGoyDOw3gNr9BcM4za2lLeKCWEfG7mVRayjnmM3f51n53ns3pmR/Z9hk8ytIax3TsAZ+TZT5WYLQjlwTBL0YX34z5/zxjkGrzAWkiKnxnHj9zKelI8G9/rTPPPMWqRWePkGEmeSq6zrUDX+ln9Ph7Sa8N7Yy54aXkSJtzK8RWRnizmCOn7/CoqbDRwcWyVrsHz7Qk1HGcUfkfGsPIqKmwonu824L06SZ5agt+TDv5wtPBA3OcQIHdKh5l7ua5Pb0aUwU15L5JiDQ+ymmnMAermjR//XI9ODR+khi98By/0vWPG41MXPVzH44wBPqOMjRRwCNiB2W7Slag6/D7lM9jG3z48/20jfW+swRsQelMKPMFwoB2z2U0Rq/D8XJJxbj3M8CAdSd+7k8auLUD9F/TqWb+naPaEBXNHzVw5+ZZ4rgri3/y4nfZAf76jQ8bxNXfvzsHsS9KP+anBIxZy8UaCi/DKcR7pZ7meUtuvpOYcPukdAmVPcdsM/B6X/Cb1wssDXwG7H2Jq2eYvB9U9U3Xr6M1fDXo968v28co1+LWS99jYSRvwylzPuMY6vKzRHc9rm+J331qPWy+gAS9rHhrEpjrS94HkXA8ACiZf8ehOvEyRec89ldizZPN/CnRb47/fKfKZQB/KOUCKtdzQdQTnTp3OeXc9jzfGLaXChgHduYNy2lHJyXxEETuAPfGcJI1jOzDbhV9LmXmqB5l5qqqx7DeMdhiVDCeXb7iRHOZSjf9eFMdzkpRBitlHPvBtC+WB743w1NLqa598ZMWUq7ft7bc5+HNxiT1Vn5NdHugSj29H3E5meaAH2XkqOX898by9ggq7EM/D1fH4BrCbQmBXCOT8QkgmkdmF2T78Gk+ev7r1ewq75ZUdzZm5ctIzo2e9NrmZZ68l+0x6FdfG7ze5HiB9na3D82tWFNdv5HMKp/MRi8NZnMnmknYbDsbvJ7M8kDzjLdluX/zaq8V/45Oy4WK8obdpRNKxWZzOrqWE9z4Y8ERczo0f3oA742snJX/xLzSZWewivFJncTvt8Vh/i6kTPgOaAXUZ+1wXX5sVl9+MyxObHFv/Yxz3toz9NE2VrXzmoXG9w8BpTd7Lb7JcGdddkPHa4JiS87IsrnN3XL4sLm+Py6Vx+VM88+biF4IBlzTdL54pNsb3b4yvtfRZDRjZ2vd8IqmVfSkpKSkpKSkpKSkpHUc6kTL48QwOnofH7t8efHrwznhN8gDejQlwTwjhKrw2eYR0D9l+0r1J5+Nd2yOabH8l3iMyMIRQRXarWWIuPmj3kThD4+G4TheyB9A3MrO+zb1+nJLetkVm1rQnrTyEkMI/awne7bmf7AlBkh7Ds/Ha96P4uL4HQwglpKeLnRH/LsNbMorxnsuT8O7tajN7N67zQhzH1oA/ZHUAXsFdFD9vY0tTCKEv3tIB0Nm8pUJERERERP6lWq24mdmyEMINeBjJYHyw4irgPvMQAfAeuFF4WEkB3lv0gJmtDyHU471sl+PxuNPxcTbJ9veFEK7EY2wvwMd8LI/b+jGu81YIoRSfqngUXkOtw8fB/KlCCF3xCR8ge1KSxBY8tGccXkldCdxjZluaWRcAM/swhHA9PlnD9Xi36L3E0Cwz+yWEMAqYg1fKDJ9ef2LGZmrxGPTL8ZCB54B7M8M4/y6ZlUQREREREfnrhfSwsn/wIELoaGb7479z8Hj1wcB4M5t/zP8sIiIiIiLyH9dWKm5L8BDJjXgo5aV4SGCxwvxEREREROT/7s96HMAftRaf3vN+fDa2V4ARqrSJiIiIiIi0kR43ERERERERaVlb6XETERERERGRFqjiJiIiIiIi0sap4iYiIiIiItLGqeImIiIiIiLSxqniJiIiIiIi0sap4iYiIiIiItLG/Qp3nagyuhJ+6AAAAABJRU5ErkJggg==\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "score_pred = 70.54494\n" ] }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "score_pred = 73.63826\n" ] }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "score_pred = 75.10442\n" ] }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "score_pred = 65.016075\n" ] }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "score_pred = 76.30588\n" ] }, { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "#Load GENESIS models and predict sample sequences\n", "\n", "model_prefix = \"genesis_dragonn_max_spi1_25000_updates_similarity_seq_margin_02_lat_margin_09_earthmover_weight_01_target_700_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)\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 = 74.8065\n", "std score = 2.4597\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 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 = 1.8252\n", "Std NT Entropy = 0.0813\n", "Number of unique hexamers = 3850\n", "Hexamer Entropy = 9.289154587852142\n", "Mean Binary Hexamer Entropy = 0.2875\n", "Std Binary Hexamer Entropy = 0.2906\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 = 0.4483\n", "std distance/nt = 0.0408\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) #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": 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 }