{ "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.keras as iso\n", "\n", "from seqprop.visualization import *\n", "from seqprop.generator import *\n", "from seqprop.predictor import *\n", "from seqprop.optimizer import *\n", "\n", "from definitions.aparent_large_all_libs import load_saved_predictor\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "

Define Cleavage Loss Function and SeqProp Wrapper

\n", "\n", "- Define a cleavage loss function generator, maximizing cuts at the target position.
\n", "- Build a SeqProp wrapper that builds the generator and predictor, and executs the optimization.
\n" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [], "source": [ "\n", "#Define target cleavage loss function\n", "def get_cleavage_loss(cut_pos, use_start=0, use_end=70, use_target_bits=1.8, cse_start=70, cse_end=76, cse_target_bits=1.8, dse_start=76, dse_end=125, dse_target_bits=1.8, entropy_weight=0.0, punish_dn_cse=0.0, punish_up_c=0.0, reward_dn_ggcc=0.0, punish_up_aa=0.0, punish_dn_aa=0.0) :\n", " \n", " target_cuts = np.zeros((1, 1, 206))\n", " target_cuts[:, :, cut_pos] = 1.0\n", " \n", " use_entropy_mse = get_target_entropy_sme(pwm_start=use_start, pwm_end=use_end, target_bits=use_target_bits)\n", " cse_entropy_mse = get_target_entropy_sme(pwm_start=cse_start, pwm_end=cse_end, target_bits=cse_target_bits)\n", " dse_entropy_mse = get_target_entropy_sme(pwm_start=dse_start, pwm_end=dse_end, target_bits=dse_target_bits)\n", " \n", " punish_up_c_func = get_punish_c(pwm_start=20, pwm_end=70)\n", " \n", " punish_dn_cse_func = get_punish_cse(pwm_start=74, pwm_end=125)\n", " \n", " punish_dn_gg_func = get_punish_gg(pwm_start=80, pwm_end=110)\n", " punish_dn_cc_func = get_punish_cc(pwm_start=80, pwm_end=110)\n", " \n", " punish_up_aa_func = get_punish_aa(pwm_start=20, pwm_end=70)\n", " punish_dn_aa_func = get_punish_aa(pwm_start=76, pwm_end=125)\n", "\n", " def loss_func(predictor_outputs) :\n", " pwm_logits, pwm, sampled_pwm, iso_pred, cut_pred, iso_score_pred, cut_score_pred = predictor_outputs\n", "\n", " #Create target cut constant\n", " cut_true = K.tile(K.constant(target_cuts), (K.shape(sampled_pwm)[0], K.shape(sampled_pwm)[1], 1))\n", "\n", " #Specify costs\n", " cut_loss = 1.0 * K.mean(kl_divergence(cut_true, cut_pred), axis=0)\n", " \n", " seq_loss = 0.0\n", " seq_loss += punish_dn_cse * K.mean(punish_dn_cse_func(sampled_pwm), axis=0)\n", " seq_loss += punish_up_c * K.mean(punish_up_c_func(sampled_pwm), axis=0)\n", " \n", " seq_loss += reward_dn_ggcc * (-1.) * K.mean(punish_dn_gg_func(pwm) * punish_dn_cc_func(pwm), axis=0)\n", " \n", " seq_loss += punish_up_aa * K.mean(punish_up_aa_func(sampled_pwm), axis=0)\n", " seq_loss += punish_dn_aa * K.mean(punish_dn_aa_func(sampled_pwm), axis=0)\n", " \n", " entropy_loss = entropy_weight * (use_entropy_mse(pwm) + cse_entropy_mse(pwm) + dse_entropy_mse(pwm))\n", " \n", " #Compute total loss\n", " total_loss = cut_loss + seq_loss + entropy_loss\n", "\n", " return K.sum(total_loss, axis=0)\n", " \n", " return loss_func\n", "\n", "\n", "#Function for running SeqProp on a set of objectives to optimize\n", "def run_seqprop(sequence_templates, init_sequences, p_init, target_cuts, loss_funcs, n_sequences=1, n_samples=1, n_epochs=10, steps_per_epoch=100) :\n", " \n", " n_objectives = len(sequence_templates)\n", " \n", " optimized_pwms = []\n", " optimized_cuts = []\n", " \n", " for obj_ix in range(n_objectives) :\n", " print(\"Optimizing objective \" + str(obj_ix) + '...')\n", " \n", " sequence_template = sequence_templates[obj_ix]\n", " target_cut = target_cuts[obj_ix]\n", " loss_func = loss_funcs[obj_ix]\n", " \n", " #Build Generator Network\n", " _, seqprop_generator = build_generator(seq_length=205, n_sequences=n_sequences, n_samples=n_samples, sequence_templates=[sequence_template * n_sequences], init_sequences=init_sequences[obj_ix], p_init=p_init, batch_normalize_pwm=True)\n", " \n", " #Build Predictor Network and hook it on the generator PWM output tensor\n", " _, seqprop_predictor = build_predictor(seqprop_generator, load_saved_predictor(model_path, library_context='simple'), n_sequences=n_sequences, n_samples=n_samples, eval_mode='sample')\n", " \n", " #Build Loss Model (In: Generator seed, Out: Loss function)\n", " _, loss_model = build_loss_model(seqprop_predictor, loss_func)\n", " \n", " #Specify Optimizer to use\n", " #opt = keras.optimizers.SGD(lr=0.1)\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", " #Specify callback entities\n", " callbacks =[\n", " EarlyStopping(monitor='loss', min_delta=0.001, patience=5, verbose=0, mode='auto'),\n", " SeqPropMonitor(predictor=seqprop_predictor, plot_every_epoch=False, track_every_step=True, cse_start_pos=70, isoform_start=target_cut, isoform_end=target_cut+1, pwm_start=70-40, pwm_end=76+50, sequence_template=sequence_template, plot_pwm_indices=np.arange(n_sequences).tolist())\n", " ]\n", "\n", " #Fit Loss Model\n", " train_history = loss_model.fit(\n", " [], np.ones((1, 1)), #Dummy training example\n", " epochs=n_epochs,\n", " steps_per_epoch=steps_per_epoch,\n", " callbacks=callbacks\n", " )\n", " \n", " #Retrieve optimized PWMs and predicted cleavage distributionns\n", " _, optimized_pwm, _, _, cut_pred, _, _ = seqprop_predictor.predict(x=None, steps=1)\n", " \n", " optimized_pwms.append(optimized_pwm)\n", " optimized_cuts.append(cut_pred)\n", "\n", " return optimized_pwms, optimized_cuts\n", "\n" ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [], "source": [ "#Specfiy file path to pre-trained predictor network\n", "\n", "save_dir = os.path.join(os.getcwd(), '../../../aparent/saved_models')\n", "model_name = 'aparent_large_all_libs.h5'\n", "model_path = os.path.join(save_dir, model_name)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "

Run SeqProp to Maximize Cleavage (Hardcoded AT objective)

\n", "\n", "- Generate 2 PWMs for 2 target cut positions (4 sequence in total).
\n", "- Auxiliary objectives: Punish upstream C, reward packing Gs and Cs in stretches.
\n", "- Hard-code an AT dinucleotide at the target cut position, restricting poly-A buildup.
\n", "
\n", "- p_init (Initial sequence nt probabilities) = 0.995
\n" ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Running optimization experiment 'Hardcoded AT'\n", "Optimizing objective 0...\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "/home/jlinder2/anaconda3/envs/aparent/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": [ "Epoch 1/1\n", "5000/5000 [==============================] - 110s 22ms/step - loss: 1.1701\n" ] }, { "data": { "image/png": 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\n", 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rOSLJUpdIrD4sDz7zDXo4rRdOkYXTZLFp1aIpQaifHlyCTXEuDv4moOp3s1ZHZAywnfNjXvA33/0tie6etWcFmwruSTYd7P+6RuLdOeLmlcL89OQy4L3g8z0n2yX465rzC+rD6hT85adVi6a4wziEU+RFtGVqNja9GsY5/2zoli874XNhWYlNq+bzpmhJQZliUjR9vDrzKqoPVxFMSl0ikUgkEonEakAyVycSiUQikUisBiSlLpFIJBKJRGI1ICl1iUQikUgkEqsBSalLJBKJRCKRWA1ISl0ikUgkEonEakBS6hKJRCKRSCRWA5JSl0gkEolEIrEakJS6RCKRSCQSidWApNQlEolEIpFIrAYkpS6RSCQSiURiNSApdYlEIpFIJBKrAUmpSyQSiUQikVgNSEpdIpFIJBKJxGpAUuoSiUQikUgkVgOSUhdBRNT9jV7VcUkkEolEIpGowipV6kRkjIj8UUTeFpHFIjJZRO4QkQ1WZbw+iIhIDxG5QUTeTEpnIpFIJBKJPKvaUncDcCDwLPAr4ClgZ2DEqozUB5RuwPbAY6s6IisTEaTOoSZ9qMkuEbnODQ/XZAdqslbTQGoyiJoMaUc0P1jUpC81acyPuOyqqfM16Vw5z2synJpIc8FVh4gMFZGBObf+IjK8wrOdRGSsSH0aRWR9EemecxspIn0rRapqGWgHInQSqdY+i7CnCL1zbjuJsHa9m4wSkT4dHc8VfrgmXalJ/4qyazcXSiTahxg/FZFjmsmuMqXONYhbAXOAvVT1y6r6GWAo8KSTGSEiD4jIDBF5V0Smi8g1IlbhRGR0YLU6SUTeEpFpIjJORD4nIm+4Z74RhHuVk/+FiNwuIgtF5HER2aYkroNE5P9EZKKIzBeRv4rIbsHvLSLygogsEpFZIvI3Edm1wK8NReTCkr8NY8+p6lxVXRf4j7bndoSadKcmf6Mml1SQ/RQ1ubSKwiTC2iJ0WZEoifB1YGKu07gE+Cs1OSCQ2xKYLcKRQRw/DjwKXBHIdRLhOhGuaVUWa9IVeBh4mlrWKYvwYRGuquuEanIINXmdmmy1guk5UIRjcm6binBsg/K6otRkGDAB+F1TRagmPwNeaqpc1WQzVzZ27JA4Gv8HTKQmWzYJe0/gTeDMDgy7OtWV3guA/8q5fQm41P8TtE0qIhrIDQdegnqFB3gc+FDObTxweIV4fwN4i5ps1ERuFDV5nJoc2NTPOOcBr4uwvXcQYZAI54owIHDbF/gz8MvAbSxwP/Cn3KDsOuDgTK4w36KIMCj3/whgkghntDrWpB81eY6afKdCGq8HXm6qsNXki8AkanJChThuIMIGObdviPCACD0DP0+lJk9Qk8E52fq21wZJB1GTnjSjJl+lJi1N5VYGNbmAmvy8QtvUjZpsW8VLEQ4SYeuc28dcmQvdRIQeEbfhObd1RLhbpKHurXxqMoaa3ERNNm0iuRdwEvBLEVmvTHBVWurmAwuA/sBTInKBiBwAdFHVhU6mD9ADuAW4DJiNNXA/jPh3MvAIphReBlwMPAAMAr4v0tDYHQ+8AzyNWcBuFWlUWkSkE3AT1mC/AdyMKaN3icjGItIDuApYD2uAbwP6AkVTyGsDXyv5e79GfocAOwFfDjtvEXYV4dRACeqCKUrHAacAyHGi4V/w7NbAawQdW1VE6AX8D7AucKoLeyDwBSdySiD+Daxs/DBQIL/iPluoyTru+8eAz2Fl5qPObR9gI2AkcJQLW1ycjwBOd2EL8D0Xnx+tQHqGAr8FLhdhmyCcP2Dl8wAozssG/4rljgEGunR+qFC2JiOB/8TK5X83if45WNm4zDfG7YqnKZFHAD2BbzYJ2ytKp1OT3m0Juy24xn23us6yJpsAs6hJszgCDHF/zdyKng0/EZEu2Hss9bMgf3tg+ToYOLtQzjgNa+8qDdJC3IDny0BX54/n+8AZ1NeTL7vPw0Twg6ejsBmHLYHQ+l4132Jx+hQwQ4QTA+evYPX7f4KwjwU2B86gZst7CvJyY+AzWF6eXChn+LJ6jreSxmRF6IsNJB8WwRkkGAx8B9jNxc1mJazubYe1cT6N+wDzRDg0CPsETPm8rFUunp5tgIuA37jyXZnSemezHVIqa2GfgrU7n24S3I+BJ52i7NPdX4QbRdgrcNsOGwT8yStsTqm/FbhJhNAocgnwhgjrBG7fAKaK8MnA7UxMaWpu4Oh4vgvsD1zeRO4Q99kF2LNMcJUpdar6LtYhzQW2xl7+DcCrIrKDk3kJU6ZeBBYCz7vHY4k6AuvYlgHdgXNV9YvYlK64MEJuUtWDsY7/bWAU8PGIv9sDH8GU0CeB6cDLwFpYI9XZ/c0GbgTOUtXNgWsK0n2fqkrJ330FWdbRfDb4vhmACN2xCvNjskK0G7SObPZu4ufJWIN/pAgjoU0d8h5klgtfMXdz/oHlt5929Q3EMGAtZ10J350fnR0QuG3mPj8RuPkplo3JyocvW5sAY3PPtoVDsHJIEN8dsI4F4PMr4GeMTwXfy6bF9iWr760DDhH2EOFlET4CmAUX9nM/bwm0qeMvYE9oVb6HQmEn0I3sPfYAerUlkDYqf4dig75fBm6nAv2wTnpok+djisjQiFuMoblPoNXalA+3isKzGzaQBBjTRPYg9zkYG7C0hV3J3skgABG6Ad4KdIBz64LVZ7Ay58tdWEe7Bt+r5lsMr4CfGUy57u8+u2HKXegmWN0uYp/g+7BCKSsf3rI0BCgrb5/H0jiUzCL5KbI88DMBe0Gr1S60aJ/pZH8QuHnr4GFNpooPc5+dcGlr9yCpJrtifeaFTSQPCr7vVOJfL7xiC18PfjkV66euEmnNq6OxdziSbKB+CNZ3dMWWcyHCKEx3GIw3RlhZ/S/3/LecWyeyd7JDdFlPB1DQ3nUn66N2cbNIRXwk+D6/LKwVmibrKFT19yJyM6ZY7YZZg4ZhFpv9ReQwoBZ5NNYAvKiqy0TkHaxh/pdz9xmQ7yBedHF4V0RewypczEo22n32wSxpIRuq6gIR+TJwFmZRREQmA+OA+/KeuenVE/PuARer6islv3cUOwffZ7vPT5I1ZPsCv8fei2dukWfOCuUbRKHtykAsPjsEbnPc5ybY+wVT4N/BLG/huiP//EcibjtG3D4auM1zn7tE5NpC6OcC97lH4Lao9GkbtX8KuJEWXVIg04X66bqyeMbyF+B8TIm+yPm1Ldm7WwIsLo1nNWJ5HiOvRK5IvlflZPc5ToSTdLwswCw0YJ3DYKzjKmII2XsN3QZHZGPPkpNtcHOzBIMr+Fn0busxC3ZotZgN1uGEYnqZFk2VhR2zD2c7ssGYn2HZmPqp5TlO0Qun1yxsW0PYh2r5Voeb7vV1vD+gIvQBtqgLxzrLD0fiHiOWxhihf3No0eUlsuFg2OdtrG1qaHOcRc+/X8sjW3Lh0yjAuyVhx9qh9nI6piSeRE3Oo0WnFsjF0hhjFzJlNlRsvGVyFNYvTaa+DfXt4u6Bm2+vwkGsL1s7BN/9Gs7NyQb381V5rySeHc22ZAaIRbRo9D2KSDfqByKl7eIqU+pEpCuwo6o+BNwJ3CkiM4CfkGW4n3q7HDOpHwD8DqLrkfIvo9nL2TSIhx/dTo7ITXSfU4ExqtbBumlXr1xcraqXisgIbNRwEaaY3hfxz0+/FnEjsHKVupr0wyqKxxeSsMJ4BW6riFyMdaFurUJbO+TQGuaf3dh9Lgnc6uRUUWqtcsuwMj3HjcDCdQqz3XTBxnVuRiyNsfi0hXCNZtgBVvXzZ5j1+QqyUWye0WTWwGZ+1ucFIMLoIE7eolHfIbZoR0x3Vm2QQrmFtOjSDgi7ATcl5wcMnbDyNYZ6K9ms4udFiCt1g4F+ItJNtTTug3OfRW4DXPyaWbEa3m0Bm+f+nxOVKib2HsNy7vPML3VR4B1Vlrlpsa7AcixN/nmf3hWx1O1A1hfMUkVF2Jj6/mE2Vk+qDhbCNJblT+VOlvrBaVn7snnELRwQ+fwN25F3yZTpemwGI2zbCst0Zcy65KdDBbOGFlHflhTToHC7mZ5wCdNsN90alvVYfvhwdo7I7RRxCy2iK3MQGSMMu+zdjMHqzHNYOS6tt6vSUtcdeFBEXsSmSBfiTKfA3e5zmvvcF/gF9VNN7WV/EbkO68yGYkrbvRG5J4C/YYXkMRF5GFNePoaZda8CponIfc4P/6KiGe+mV1dokbyIXEV9JTpfRBYAp6rqjDZ45ac3L8bKgC9Q4RR12EBPx6apyhbl+kZuJjbyKbTqlcTpBUyp99OIG2BT3ntgi0TDuB9GNrXgK/+HgHG06LsczigX3xqm4M/Gpoz6Aj8Fbidr6DfCLHRXkdWJsc7tMGxavzJuqmAMZg2eRb2SOs+lqcyiMoBscfyhFCt1Pi9OdOGVNUpjsY0kPyTrdMOR9Ez36X/7MvXT1+1hQ6weHUn9lExMDqwjO76Dwo6xHVkdnK/KUmqtnexirFyU5WUvrP3KKyKhYjZV1SxeIqL+e05uyAq4xRiLDT6PpryN9MsJTgP2K7IMlLAB8AxW3nzH7gdJNTKleAymvG1MttbVD5z3x5a0+PaxIY2qKpE8i+E7+Hlk7ZVP49dcWIsCt3PcM2Ud6IaYkeF71FsWY3KLMaUpv2GmFaeIjAZ8++zL1VisTvwp5/ayi6dvT30alwbx9r/dD6xfMvAaibWBf8VmNDpCadmaegV5ZlTKDAdDsc0yzzUJ26fnGeLK1lJMP9gSq7dPY33E7KCtnYCl0T/v820Jjfk2O4iPb+/Oot7i1z7MgNClSR3zYX+D+mVBefwyieMww0Xpe1yVGyUWYx34EqwhGodV9HPJFtyeA/wF64y3xxbkdhSXYA3zNlgn+xlVbZgSU9Xl2Lz+LzGF4Eissv8J+LsTuxvrKI7BRlu30Xwx+opwBJkiA6ZsHEHjLrpmjMJG0WdjpvQ3nfvG2A68b5JV1nWAi2jRMzErKXqZip+iCaZqfEO+LXC6KmXTEUVxukKVy8mm3IcDv6JF52EKKFhD9bgq15JNoQ0HHqVFn8EWnno5sHUoJ2JWWK8s/oIWvQN4KEjj1ap8Ddvs4uNzFS36J9pe7kZgyuG3sLLjLcDrYVbcT2L5XJSXu5Mpl7NL5EZiywsuc+meFf7e+oytVRsC/IQWvQG41j3vR9ITyN732sBfaNFfEpThBj8LKJAbieX5c9gu2CJGAPfRoo/i1ry0Jew24BW4K7GNPWCdtGL1+NzCKW9jMNZWDXBTpHn3QdGn6uXm5uRizza4leTvJbToXzALb1F5GYXtuv1fsjVZbWEEUFPlIbL3uC7woCqHY2txwerjk6q8grXh3u0dTGG6kGyZQ9U8izEGU5ZGAr92biOxQejFwJdUUSzd87EBzakuvFg96Y21pT+jRR/Elp8U5eUI4AZa9GVMISDqp+WPYIOkfYBZThEZhr2rs4D7nBIwCriQFh0PXO283BAzbgzBZnHAlMSpWDtyapOwwRTcL7pn6qbXm9XlSLp93bnLxWtBQdh+JuhMbBDxQlE42Ht8AOs7/ujcvMLzWeBG9x79rs/PY/rCLOx9d3b5sC/wlpPZACsTmwCTAre/ubj5tn8U1p98hyAv24II+4pwfLC5sBOmE0x1m0WK8nJt4H5a9DzqNx7lGYa1z4+o6uPA62XxWWWWOlVdRskIx8lMpXFTxM+C3yeSs3qpav/c/7sXeD9TVU+K/ZAfIarqdLLdXDH5Q4p+60gqjFyrMhx4lRZtHWW5NS8jMIXsGhHWd7vq+mMjQmjRsjPyRgJPqzJJJHhHl6nIcaJljYfboDEAr+gor7qKMRS/OaZFveVvODbCRZUJgdtzTs5bAEZgo7sXnII5jxqbY4OIl5zsjOD5h52fDwdujzm5V0vSHcMrjw+qMlOEWW6XZX/gflWWinBnyfP+uIjZWAdVhKXbpinLpvu8BeVxAFrUNwobku3+9kflDMcaPmjR52kv1lH2wkbh0KLTIGvYcmVjuItPq1xb8GUt9L+AdbElDseSTf2MBP5Ki75ITc7zggXrzQZhHcWm2Dud5da99AL+QXMFZRDwKvVTrYMwBXNQxG0zb7pq8Ml2XQ4le7dvlIQ7Avi7s+z8s0kc63DLGYbh3o9q60BwODbwhmyGZTiWD6i2WuSGAfDJJRAAACAASURBVC+qsoxMoYMsL1bkwPmRwF2qvCPCT4Kwn3R1/rXA7R+06GKyDj6GXz7iy+pbxaIMxysgLVq29tK3BXerMtctxPfhPOqUlRep0Q9bX/WI89MvwRkJ3KHKPJFWpXkEcCctuoSaXN8kjjYzYO+8rC2pyvrYWtMDgV1LrIQjMKvSY85a9a8COS97AS2q1MQr56OAf6hys0ir8WQEMFWVl0Valyj5/L1PlVkiTHFK81Dgj6pMFGkdxI4Afq3KIpHWDVJWJwBVO0oNWteI7+fiUKhEibAZtvO2E2bUuAxbm+s3Bf03poAWpftBAFr0yQIZXFpe9fVfVUuXlq3qw4cTq4aBNK4fHIYpyI9Bq8LkjwMo6yjC5593z7Z1LZQ/3+q1wK0XNgJ7MyI7MefWn2yE5hkITMhZDPsD08JFza6R7U/jOsZYHlVlMLbGZyaAa7h9B/5S4FbEplinO5zgyIII/XGj7yb495iXHQnc7vLIN6ZeYeko/LutEs8BFeXayyhM4VZV14laXr8IQIu+0+T5QWTT6v69DsSsbzNpvuh/MI1K3WCsDOYVvVex6a6ipQ99sXZ8SpMwfRwbynRFS2gvzAgwMec+hMYy3Y/GNiPmBpbe14D+7liXtjAMN5hTbV00PwBaB3ueqnV5AGatrTKgqFpWhwJTVG05iluI7xX3sL3zdTT/Hodjh/Oj2rp2bihWLmiyQWMw8EYHrYv1jMIs+Qtp0btK5AYBb1Wc4h+GTTtDiy5zbiNw59Wqtm5YGoIbjLi6q85thqqbpTA3P4j1+eZn4MI+ypeXQcTXsJ+GHV/2WP4cxBzHk+lRfqNluFxnHsUMolrf2odqZRJISt2aSl/iShDUN4h+w0qVAtWXFVcGfDhvR9zyYcfiHiv0RW6xZyFUHm233FoR2ar0obHB74t1GFX8XBeoOQtc2XRlLC+K4jOPFs0vqA4bueWB7IqmuyhsqGYlaFPj1Q5iDXk/GgcQRQzElLpZZPUm5lb2/Cs5uSI3P8VV5KfP3yrvrGp5KQsnb5XqQ2O+9aXxffeNPAuWrtcxq86AyO9l9KOxzelLtXofow8wo6IiUtXPvjQqlH2AOYFi4d2W05hvMWW46ntsz/suYgiNin2MavljO/h70liG+kfCKWpX825+A2NrvjvLW6y8NMTTWfr8VOwQyutzuLPZp2EXbMD357zfkbg3/C5CbxHOEWk9KqgP5Tvx61jjlDpVPdKdB3f2qo7LKqQ3jYst+2K7SZfm3BY0WV8UysYXzTanD7AoF7Y/giY/0ulN4yaM3jRuTOkTcesd8c93VrNzcnm3ttCXxsXYfYB5qqXHD3j8jQPNRuK9qLYhJZYXYI1c3jLQh47YJZfRC3inYkdZNT3tJabAtaUDHISVjVlkVpeYWxEDMUtLXoHLW6yq+NkbGyyUnl3laM+79fUxH06srPeisZ7F3MDSXTXf8sTanD40lqGi8p8n1raUyZZZYTyx/Im1VxZ2S8PUWl+yTRaeqp187Nn2ElOiYlQta76tzacnNgiI5WWR29xcf9IT03dieZlv57fHWQCxTXZRK7i7CWRT7KSLrbHbetbC1gj+F7b54cbYs0E8Y33mhdhaxPHuloue2HrUSqzSc+oSq4xuNJ6TFmvQulH9nLIetOEcJHfEQW9VnsaOOsgXWjv+oLGR60rjFv6uNK4p61bgZ15B7Y51imF++B3GVZTZGLGwu0fciuhPNatnLD1tkYs1iN0q+lmVqnFsq2xlRBiDrc29za0Fi3Wq0YazYE1oe5U6P62aXz/3OmatGYBZbAZh001lflqeVZtia8+77Qosjpzj1Y3Get+VxvYl5gaWrpdZMaWuB41KZlFb0p56EqNLRdm1aMyfbjS2YUXvJpbGtWh2zmXmZ0ecMxnSh2qD96plLTunrZ7YIKA7jfW2O435G8szH06Vd/EhF/ZGwHbBtHcev6P7SlWmOmvgWGwZ0x1uQP5swbM+7Lo8cmcvHhE4zcfKWuW+dY2z1CUAKySmBNWkk9uUEGt0O1O+AD/vZ6UGRIQDMUvUUyIc757NW3LCOK4V3GkZk+0cyI52J5Q3k+vn7lfsDCzLrXHzg52l1ERW4KL08vSUYe+iN9VGuWEe9XUbW5rJdaYm3V0DFOuQq3ZWiDBUhN+I8FuR1p1psbCXuLC7Nbl3Nozn0CYnrFdC7PL4x7G1iX5zSqysV3s/hp9qnUPj9GvoFomPdMc6rAnAQHfmnX9+5gr4mX+3RWXAy66oUtcFmyJtxZWhorIec1tGI5XyrYCuNLY5zdqSziX3++bbnLLp4LBcjyxpI2J53pb2oej5KmW1epmuSW9qcgs1mUpNyjYwVlXWCsuaCKNF+JSzdPm2NpbGvFtM6Y6lsSjPoFp52RDb2DJblT/H0uAYga3ns13F2Rq/d6i2jCQW949ifdKnsE0Wr7v/3wUQkR1FJH/eZB1NlTp3ib26e1m924XO7aoKEf+3QkROFpF/iMh7Lo1nV3jmvvwl1CLyXPD7xMjv6s628zKfFpFHRGSBiEwTkZ+Gd9GKyA9E5HURWSwis0XkQREpvQOuhLAgX4YdYRJrdDO5muxKTf7axM+mp3G7XXT/i5m2X8UqX2doOAKlcxCfjfC7hOKyYdxvwdY0NJM7AbtNIRZv3wC8i20msAOni++8XV+E74vwdXfPY5GfVU4rL2p8imT9e/wV7i7bJnL7Y7sVfSdU3CHXZBY1Wb8k/KuwoxIOpficpTDPdyY7SqCZ7BM0Xu2XUZPNqcmvqMllTS7DPglTom4nW6NT1Kn6Tvp71GQrihlAdtbVwIhbmTIwAFOk38Y6SL8BIpyGjPlZptT5PNsWP21fLOvf7XPU5KNFgiL0EOFEEc5wCnusPvn+I1+uOxXIxpYSVM23GLE6VVTv/fu+ETvPr8g/L/dZ7NrKsrB9vr9B8RV9bY9jTfamJt7C0zXyfCh7OzXZkDih3JnU5NsFcgDfxnZ7jqD8btFsVqQmHy8ZpIVhn05NfgEgwi6Y9fk27CrNrK2tyTBqcnvwfKw/qtKuFuUZFZ8fTuwIlpp0df2gP5txII1TswOwDSJVLOehkWEaNVkbO4vvQVVuV+UCVRZT3xceT3blXZQ0/drI9ljDOgkKrQ9FXBR8D9fsXEl9o3wQdjbaKwAisjNwE/birsXm6U/CCqc/SmV97PDY6djhrLsCt4rIENWmu/XyFK3TyhfE8P+ulDe6Vc+l2xRLyyZY+vs6t/wAo0gBWkbj4c0x2WURP2NxfC/iX+Uz9twF3Q9j+bMWpjDF/Kx6/Yy3Ti1xp7dfC3yxYEfm8kg4MWJyPm/y7zxM+1pF/ruOfl/srsapuCMsCsKuSjVZO9j0XqyOzcXKz4sF0vsA56jyfXchPVia8ukO3T6NnZtVlCavgIXKVsyt8FlVXSQiSzBr3ULnPmcF/FzR/O1KedkZj3Xyi9xzt0TkvX9593dprHsxN6iebzFi5bpqva/qX5nsisrF2rAi/5q11dtRvDNaA7l+FLVBdkbeOGyQey71tzbkabUaYceLfYXsSJuieHchW9LyXex4k+upt5Yvx9qb8FajfB0taler5GVRWY29i/7kN6xYW/wX/E0VNdkZtAeNU8SxpU1FhOnzt8esgz/WKeM92jCr2iFKnYgMAC4lu5T9TeAuVT3eXcP1J0wDHYjNXz8AfEVVJ7nnd8VujBiDnf3TFbsi7CJVPdnJ7A+cgSkDs7GL5/9HtWFHn4/TmRQ3Eo+qauxOWVR1nHv+Rtqo1Pm4Rty/E8RrCNlp+T91nwdhleU3qnqUiPTH0niMiJyjqm+p6qGBH36qpge2gzHcGl+FZdTfsQdmpciXh2VQ+YLj2PMxNsfOjvPnFs0WiT77XoF/SyvKFqWnqhzk8qjgbLXDsM54O7L1fjvkny2IdwwNPjthtzoUPRdLT1U53zDn329VP3fCyt35TY5nqepfW2QPwOrHh2jRZa5TasBND26MWelQbZ1qjr2LtpR1r4jMIbsFw290aDaN6J8lkJ2Lvet5NE6/zqbczw7PX7fe9bOYpfSf2MBrMPn6YNdyxfJyaV62wA2qpbHovMBY3a1a72OsjLIai09R+Yv51552+T2q3cE9lOzg43nQesxPjKphN6TH3a7xUWAnVXeuYq31LuLYe8yHU/V9F7n5cJY0ke1O4zq7Fkw/+Ri2rvB5TKfJWxOzKeKa7IvdcNRCnFhe9qPxcOG2lMsOs9T9N3Awdojf05gy5C8n7oQ/LNGmHXbGDufrBuzjFJhbMO34PqyA7RV6LiKfxCxZM9znZtjukoEUTzkdTbFSdjXZrQUdhoj4xvpJ4Buq0cN6T8Aq2r2q6i0BfqptYxHpS3ZXYFcsrW85/1uwfPX32v1eVduq0IEVknxlX0z9PaJQvVEAK8hVZGMm69izFsfGDrtINr+WaGlFuSVAZxG6uINRvRyR52Nsgy3AX4QboTklNZ+XVfMnqlCWyFb1s07OdcjteefrAM82UejaEse2yG6MHaK7jJpsjrUxsQXJPbD05Xe6xtK9LOJWxADgPMxC8mrg9iWsjWs2/bq+W3rR3/0/B1Pi78Vu+bg1kL0Cmw66u8GnLN4dnb/bYu/WLyGZ5ZYVrCWC5N75UqqV9QY3t55wAPAb7Iyvwp2CBQOqSuHQjnrSAbLtjWOsLalaVqvGcTi22WaKO2KkLy1atKa3atixdsTfcPFUzj8iflbNtyK3mH842Xdy7vnnQwunZ3fgGlr0gVaXw1lC3Crs3XqTnV0XI5ZHXWlcGhLrtwrpKKXOd0CPYMrSC7gOTlWXiMiBmCLnD1LcFtjdXbGzH9a4vQbsqXbx39PUr6f5qvt8CnddBmYZOUJEvhKz1qnq6A5KWxXmYw3xFEzh2hO4U0Q2U81OJXdWSz+demHw/GWYsrczjTtQhwffP0G2M2Y2xQ19MxZheR6yhOx4D8/CiFsRsedjxKYAlgK9RegUnJfm32n+CrQlmOWgWTyrpsdX9nBr+6LALba4O8RbDJqFXTV/fIXuRfPjCBbSmBcxFhWE3Z53XnWawfwrsKZFZKuk512yNueLWIMXs5IXTV0tobFcLaZ6WR9AVi9nBW7eale0W87L9cFG/P7/OVhH0OrmjjXpS3bjRZGiuAjo5qaHmlFUDvJ0pnFNpy/jvajfXBOrj1XLfw+sHPmL1tu6pi72zpZG3Kqmuy3tXdWyWjUv2lJHq6anqly4yW0rrC8bWSAbqzsxYnnZBViS20Htw62SR+11A4v7zCay79A4pd0ff9NITb4DPAq6MCIXMyYUEcujhdTf7+7dKu8Mr6LU+YY7DMg3IL7xuhBTwv4Tu2fuPeB3IjIOuzQ8XJgd+tGH7I64fwXX4LxIvVI32n3uTf1hf4KZRJ8jx4pOv64g+/u4u+uCXsKshHsAvw3kDsWslq9gC0UBUNU3RGQTbCpvBLZb78fY1TnTA7kjReRL2Jq6W4HLRORFVS3bwBBjAY3X8rj1PXWK1QKgu9tN2owlVCt4s6hXVP2zgrtyybn50VTez1g4C9oh53cf+SMpICvXg2i+i8kr8s3CXgL0FKFHcMJ5I3ZVznyyQ1nLiKUnxnxgQESxWhx5vqqfc8gO+SxjAdbOVOkAq4b9DHCC271ciCqLnTVyKPVn0FUtGw0461L+fDlybj1FpLtq9HzHfJvkp1/zbvlBV1FbtqDJ73nZKvk7Bdg4V1bDE/jzSl2srOffzRIaFYVYXrSForBXtEybXLUBSFU/i+IYa2t7unPOQtpTR3070oy5QN9I2EV+Vs/LemZibWAf1dYjR3xZGkT9MSSxdC8h0xdCt7zcYqCvCF2Dc0GXYdY3f3SQZ2nk+QU0lt/ZZOV3a6yOTIrIVX03RbLzsB20ebmNqEiVxXd+emFnABHpjCkVkJ3KPktV98GUtK2x+eYWTKH7HKbQ3YGN8vyzYB25n4oLd/BskovDRPf5VXdwsLh7UDdQ1QaFznE0pmDG/op26jVFRPqJyCYiMtr935PinU95q9TX3OdFquFVVSLAXFW9WFW/jXWYG2CKzd9FpKs7CgFVXYrtIPQHQFZ+2QHzaDQLL8Q631Dh8pWszIQcPr9OUymrUJuLsD6ACH3IlKjw+aKwF0XCmR+RW0hm7q+Xq2+0faeV+WnnC8X8jHED8EkR/iDC9SLs4MJe2+30DeNTH04xcyNxj1E1jvOh9T7EkIU0LlGYR2PDGWMasJ07fb1Z2FA9nlXkbsWUtDfIrPhFTMbdwxjENVY2qqZ7LeoHuP1zn3n3PDG5qm4x2pK/sXof4+9YZ3mnCD8X4Utk9SSfb7F6X+SWf7ZqGouI+Vn0bquWvx5UsxhWLaux+CzC6uOwXByJ+Nne9FSRm4RZv3evIFu1nsTkZmBt2xcARBjmDiVfHJFdRLV3uxBYx62fDd0gSLtbMlC1XM7DlniE3A8cQU32JisfC1zYoZV8NjCUmhRtXgmJvZ9Z2JKefHyqvEegmlLn7548WUQexRbObusi5K1Q3xCRJ7ArjU4ks6zNJbN07IjtlslbyG7FlJixInKPiNyBmYBDLnafPxKR34rIlSLyOBSfIaOqo0MFMPd3ZNFzInKsO6plO+d0gIhcFRzpciBmSfTrP4YCE0TkdhH5JXZ36nou3fcG/u6G7aydix0FEdILmCgiV4tIDdtYAnC2qs7HCvybInKdiFyCXbi+CVbwH6TtTAc2zp3X5JXEbSy+9MAqoVK+G8rzJs666i6vL+IprOD/VYTHsUvVZ2KNylatz1tlnxMJe2qdnPF2RO5NYLiIjXqc7NuY+b21AXHr6N6OxH06jYOLBlT5B3A06Eagg7HO8E2s8x8b+OktRfm4x3iLxoodYzrV3o239m6Wc5+C1WV/OrqXzcvFeBAr+9eI8EMR9iuQm4VNg1aJZ+w9NtKiS29+4jN7XPXAEVdceu9x46+876hLS6TvBb4rwq/J6myYbr9W5W2qpTvf4Q8I1oaVyRU+3wa3RmxX9EKql4Omcs66cQimvO6J3fayCKuPW0Jd+Z1KY915M5DrEbhtLkJnETo52ap5VsSbZPUpDCcfdlvrSceVVYvPEBEb+Lt0+7Y2bAv8UotYO+bzt63peRsY09QCZzcG3Y8di3RmEz+nYes+mzEdGEhNWhVX19beBFwqwiQXno9nrJ0P+yLvtoUIXVwZ6u7ceuEOAs61tfnn3yzwM98mvwR8QoQ+ImwpQhdMb3kOuAvYDet7X8UMIR8XQdwh55OdH35dfBmxdD8DfFSEz4hwpCs307H19pU2cjVV6lT1JmzdypNYJ9cPW8u1p6r6BchPYubNA4D/wF78V91GgIuxxrQ7tvPlezn/52Dr7Z7DrIHTsYt0wZn8VfV2TJl6BjuU7yCsowiPEOkodsXWrXmNfmv3f1EnOxO7DH0jJzcMS+/HVTVcE+WtdJerav7A13exNYWfxSybrwDHqur57vd52HEmu2FK0GhM8dtbVWOXETdjGqbctE4bugun5wFHiDAWOMpdrjwT+GQFPydhFW5L4HRXERpw6ynOwqyb22O3SizHKtfB7oiQ44J45q2qU7BCP5Tsfr63gR3dURceX7kOFuEjmNXYXzuT93Oyk+uNDUp82M3TXZMeOl721fGdttDxncbqeFkQhP0FEbYC9nVX1kxzbkOAY0p8nYRtPGrWyU0DRrjNAmXMxupnPt1vAJ8TYVPA79CeBny82YHL7pLtG4DPA6fTOBAz7EaQGdQvmyjibWC3Zp2QCPLZC26+9qj/u+rw46+4dJ9jLrvy4yXil2MzBeOw8gaW7o+JsAVZe/QWsBM1aWYtGoCzxGINdxdsXU1/bBPT2tjArejd9ceOjlgb69S8Ve425/Z1sg0Urzm3z1BuxYrVkyK5j1CTpmuidLzsoONlrI6XYTpevJVuClZeemFLbcDK+n7O4n5aIPdhEdYhq6NTsJmcvbBlKKNcGl90aTyEtit1kzAr+TDgW0F8Nnbt0Imuo54GjKYmY5v4Nx0bxFbJy7exetKsD/U3wxwqwq7YusnZmFJwsAgjsSOLlmBKcz7sScCnXJvh0/gWsEeFdZTTsLJf5TzTM7H8/yzla2WnYnW0StsEjen5OlbWl5OdWfkWdvRQyBvADiJsBpzt3CZj/da+2EzgutS3tdsBn3QDkBlAiwijyNraSVie98M2Wno/9xJhIFn5fRabtn4WM6AMo0WXdBn37rk7nfm3Wzc97YU/yOH6N5cX8zHD172Y/jMd60fPIDMMleXRXrm29hFsBvNmrH1YHytrPWlc5hOl0kYJVR2PnVtU9Pst2A7W2G/zMYUs5Fe5/59VVTe6kk64S8YJDtJU1Rspv0etQ3BWvCNLfr+KwNLm0ndckXwgd3DJb0swhbfo91k0Fvr2MNF9/g5Ttv2mjUlYJ/157IBgL3ss2SLuInzj9TQ2WPg5BQv9dbxMvPvZvf40f3Ef2W/bW29zy9qmYIcqvklmzZ2IKbnhFPNkzAr2Olb4v+vk1sIqoF8r6Kf1L8YakMOc23subfPIzlea7MKeiSnL5zs/DyPbiVjE1zALzw5YQzDJhbEUOAe7F9AripMxZe0A7AigIl7E6kz0zsGAie7zNqzTj1uuW3Q5NXkdOMU949ctvo5Z217A6tqp7vcjsIFa6Y6rV38y5uwzr/uOvPte1/f22/bW39kmxsJ4HoMp1s3SMxCzdhctaQBr3HbElmzMoGQ3no6Xf/7moS+ef89ze+34sU3u/70dGckb2PTXs8ByEU7V8byGlaHHKJ/67g/MUdUpIhJOmXUGXlLVmW4XfJlS94R7fgpmYZgNvOXcXnfP9gdmOrc+QD8R6azacG0eZGW17MBksFssemEDxOJDpWuyPVavDsU6Hm/BmowNdKaTtfeTMQVtJqaEnouV287YeWQ9RDiPrCzfjPU7H3ZpnOHS+AolSp0I+wA/BZ0ul3OFKsdgda0v1mbMwuqaD+cxrFz8hqye3ImtYbopGojtpp6MKR5v0LhrOmQiludPUH7Eh1c6LsAUxsPdzvMpWLs6zv3m/TwBU8L88pxJZGt7p7o0TsCMB0/SuP4qZIL7/JUL+9dFgnK4vvqh9R/71YbDXtnsb6/sfPvEokM4zODQA5uxKwt7kgvzImya0jb1HSvh2tbvgX7fxfML1Le1k7B+5HkAEc4my8sb3W87YmVumfnFd7D8888fjPUfFwdue2D17QH3zGSyMjQfK7+POz/90pSRIgyCLrc88upOP8D6nffce/wH1q6NBB5za6KfxAYve1E+kzYBOBwrQ10BVJkkwk2Ycg1WX/0aQN9f/y8lfFCuCbvcTaueib38TbACfP2qjdZqywRM8RhF/ULPCcF3v8D2JawRbmbuf8N9+jIVb6Brsjtw1d5b3nP5QTvccGG3Lu/6nUi+wq5FZpV4BatAYWcVynV3I/GXndumuPVOqszDFLdOLv79adGlWMPZn/qO2yuk3YJ4+wFFq4VWhI1EuI3L9Q4RbnVh7wFcTos+6Z7p4SyPPp5dgvRMirjFeLzktxCf7vVovmnhJaxBCNeKhFbe8H1DMwWhJruOGTrhnmv+c9zDvzvp0IfH7XpNWVvyMtbxNbMo+vRsQXlHuTnwhCrTVVF36nosjp2Ae8ftes06V59w5K+P3v1XXgkLjwHqhFmQ/un+35DG3Wch/gYEsM5qOZlV3294mEPx+w2fn0tmlQvProu5QfFmk5ddOrYsiTdk73ZTyo/M2RO4hxa92fntZxZ8me5BY5nuGriFcmBl0ytb3VxcY2nsJtJ4zZkI3bCB3tdUGUq209l3dgL0d+uqfNhe0e8fpHt9mm/YeQlrW5qtVfZltXSZhCubfoYgnKb3+dad+janC/XLAHy7Gj7rz/jcjPLDkt/GythQ6tfvxbj58Qk7LL/274d9+/UZox8tkfMGl6GlYbfoYuz9DCBYxxbeoRx89+kJp3Un5nwcQJZnrX2Mm/nxZaszWR7F8u31iJsvL91wZUiVWdhSMTCr/EzMknyjKt9V5VzV1jYk3Ajpl7DcQTV8uczfnHM4Nqj6InAP1i8rpjg23YTxQVHqnsSmPb+NVabfAR9zU7OJjsaUm2civ/w9+O4LfeysvRgvUn+UQ9Go+5PArbToDdgCWW8xCM8u8p3DE5Hn86dt98dO/o8dPRLK+vjE/IyFHVOsfg78WZV9VdnPNdgShP1rbHkAWJkuC7ts+uJeqlwTZmdJTWgqZ8TSE44iB7hOsapCeRhwLS16Pmb5KdshHcvzGE82FwFsRF3lqIax2Nq5Y6m3AviRuGcgtvyj7CgST3+c8uZ2vM/BBkcLVNX7WabUtT4fyFVx88/GqPrOnqbaTQidyDZ5fQXrYKC+zYjVUV+G8jdx9Mc6xqk5t6pp9GsM7wMIdk6G6e5MppwvqXu2RaeRdd7NqFpWq8rlZX29D9umsjYnVLB6OgW3WptsV1U1LRvuDMKdgLNVeUg1Wwse4Vkab1Eoomq5jB12/Az196IOdAP1lwO3WBn0bmG++Tx/POIWtv2dgd5ynChHdzmF3Y6Bg7bo6RS4rtTvzvX8EvgDNkv0Q+d2OdmxKWVtWvQ9qvIOx8oZqoy3QasuIVOmm/KBUOpU9Qequo6qdnefh67gWrFEdWJTddeQVSR/7VKls/Dc4urwrsSiM9YmAZu7y9r3I7vH7vZAxjfK90XCmURWwBV4jxZdSLxhuC347pWk2JU2d5GdD+ePUnmIxsuW5wND3aLYHoHcMdRkE+rPJ7op91zeLX+MRStyuC6eOH29XwNMnzf4T3945OBYY+Ipa4BL5VR5mWz96j1uh9jLZKPcMqYAW7jDSo/A1n21L44t+jaR44kiPAJsI8IxInxUpPCOWL/RZwNM8fo5tN4scbWTeROY6jbm3Bk8uwyRToj8t17OlYjciMimuOnXQG4utmM871am1HnZ0Crn3eZi64Za3VR1MVYWi/ysmr8LqB+4FfEQsLe7Gza0J7zhkAAAAXJJREFUAIdtQXhHr7eUzAVElZnUd5bLXdkKn19OfV54RSGWxrexwcvpImwu0np23wSyjnE2sNStXb0neNa3JWUXs4dUrU/Pk79Kqpjrgu++XfxT4ObbpjDenn+SKYBvActdPQmVhTJF/a7ge9FB4fMxJcSdcFGyicvWyIbpKTqkGKqfo/og2YBqObRaOK91bovJpsLDJVhzIm6+Xb2ObGDiBxP3kuW/nwZ+iUxRXAKoXqaiVywTNr4Svf45b018BDhAhJ1F2E7ETolQ5T2OlUNU2UWVySIMksP1it3P/cv5p9V+dFbXcUt9GmK8RPXBxv0V5ZDsaLjEmoKIpJeeSCQSicS/Ie5ItygfCEtdIpFIJBKJRKJ9JEtdIpFIJBKJxGpAstQlEolEIpFIrAYkpS6RSCQSiURiNSApdYlEIpFIJBKrAUmpSyQSiUQikVgNSEpdIpFIJBKJxGpAUuoSiUQikUgkVgOSUpdIJBKJRCKxGvD/B/5fjgqFfjsAAAAASUVORK5CYII=\n", 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Optimizing objective 1...\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "/home/jlinder2/anaconda3/envs/aparent/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": [ "Epoch 1/1\n", "5000/5000 [==============================] - 103s 21ms/step - loss: 1.7469\n" ] }, { "data": { "image/png": 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\n", 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\n", 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "#Run SeqProp Optimization (experiment 'Hardcoded AT')\n", "\n", "print(\"Running optimization experiment 'Hardcoded AT'\")\n", "\n", "#Number of PWMs to generate per objective\n", "n_sequences = 2\n", "#Number of One-hot sequences to sample from the PWM at each grad step\n", "n_samples = 5\n", "#Number of epochs per objective to optimize\n", "n_epochs = 1\n", "#Number of steps (grad updates) per epoch\n", "steps_per_epoch = 5000\n", "\n", "#Define sequence templates for each objectve\n", "sequence_templates = [\n", " 'TTCTTCATGCATGTGATTTTGATCTNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNAATAAANNNNNNNNNNATNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNGTGTCCTGCCCGGTCGGCTTGAGCGCGTGGGTCTCGTTTAGATGCTGCGCCTAACCCTAAGCAGATTCTTCATGCAATTG',\n", " 'TTCTTCATGCATGTGATTTTGATCTNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNAATAAANNNNNNNNNNNNNNNNNNNNATNNNNNNNNNNNNNNNNNNNNNNNNNNNGTGTCCTGCCCGGTCGGCTTGAGCGCGTGGGTCTCGTTTAGATGCTGCGCCTAACCCTAAGCAGATTCTTCATGCAATTG'\n", "]\n", "\n", "#Define list of target cleavage positions (one per objective)\n", "cut_objectives = [\n", " 86,\n", " 96\n", "]\n", "\n", "#Define list of loss functions (one per objective)\n", "losses = [\n", " get_cleavage_loss(\n", " cut_pos,\n", " use_start=25,\n", " use_end=70,\n", " use_target_bits=1.8,\n", " cse_start=70,\n", " cse_end=76,\n", " cse_target_bits=1.9,\n", " dse_start=76,\n", " dse_end=125,\n", " dse_target_bits=1.8,\n", " entropy_weight=1.0,\n", " punish_dn_cse=1.0,\n", " punish_up_c=0.005,\n", " reward_dn_ggcc=0.0,\n", " punish_up_aa=0.001,\n", " punish_dn_aa=0.0\n", " ) for cut_pos in cut_objectives\n", "]\n", "\n", "#Define list of initial sequences (one list per objective)\n", "init_sequences = [\n", " [\n", " 'XXXXXXXXXXXXXXXXXXXXXXXXXTGTGTGTGTGTGTGTGTGTGTGTGTGTGTGTGTGTGTGTGTGTGTXXXXXXTGTGTGTGTGXXTGTGTGTGTGTGTGTGTGTGTGTGTGTGTGTGTGTGTXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX',\n", " 'XXXXXXXXXXXXXXXXXXXXXXXXXTTATTATTATTATTATTATTATTATTATTATTATTATTATTATTAXXXXXXTTATTATTATXXTATTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX'\n", " ],\n", " [\n", " 'XXXXXXXXXXXXXXXXXXXXXXXXXTGTGTGTGTGTGTGTGTGTGTGTGTGTGTGTGTGTGTGTGTGTGTXXXXXXTGTGTGTGTGTGTGTGTGTGXXTGTCTTGTCTTGTCTTGTCTTGTCTTTXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX',\n", " 'XXXXXXXXXXXXXXXXXXXXXXXXXTTATTATTATTATTATTATTATTATTATTATTATTATTATTATTAXXXXXXTTATTATTATTATTATTATTXXTTTTTTTTTTTTTTTTTTTTTTTTTTTXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX'\n", " ]\n", "]\n", "\n", "p_init = 0.995\n", "\n", "hardcoded_at_pwms, hardcoded_at_cuts = run_seqprop(sequence_templates, init_sequences, p_init, cut_objectives, losses, n_sequences, n_samples, n_epochs, steps_per_epoch)\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "

Run SeqProp to Maximize Cleavage (Hardcoded AT objective)

\n", "\n", "- Generate 2 PWMs for 2 target cut positions (4 sequence in total).
\n", "- Auxiliary objectives: Punish upstream C, reward packing Gs and Cs in stretches.
\n", "- Hard-code an AT dinucleotide at the target cut position, restricting poly-A buildup.
\n", "
\n", "- p_init (Initial sequence nt probabilities) = 0.4
\n" ] }, { "cell_type": "code", "execution_count": 19, "metadata": { "scrolled": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Running optimization experiment 'Hardcoded AT'\n", "Optimizing objective 0...\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "/home/jlinder2/anaconda3/envs/aparent/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": [ "Epoch 1/1\n", "5000/5000 [==============================] - 101s 20ms/step - loss: 0.8391\n" ] }, { "data": { "image/png": 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xCMaO6ijMjeouTxsjMR0zrHHwHr7uJgOXevpPDjAfs3zxp3jLV9e+VE29Ffa3+1dI+Y+2fEJIeVD/wMxgtMbatFbWf8LINpFyo/PAq42njgJnhRyXTblNUsAm8B7MLGXzqj53BP1pLGbGcabtW0PsdfFboG942ppq+8j4yj6jp+5gTD9tFeY7XIBZOh+IsafcBDSp5Hs+xG6Ptt93BmbAugszOHXFTALsItjWaSywfA9dcxuAofb9Wfb3aoux15oR7z4Rw89d4ZrDjA0FYfrKaowjYV/MzO2vBNsAdsLYzH1if9fewPlU7gRyuT3PTZh78SDgYuAOuz+Se/7vbV8aaq+tgMNXNsFOIPNtnxhi+8hMKjqBLLb940jMOHAEZvasTyXf3ckYR8+T7XfSDzNulxJsZx6wAyyh3KHzEltvaUibszGhZQbY73AyZowf56mjmBlE7zjnx+pOtt9cjum/Pew1XIwxG4rNdRTvCzneL4IVwBRMDKtVmJvteoyylumpfwTGDqEIc/N8nGDj73AKYCpGCdxkj/sROMyzfySxVwCvAn4KKZtCsALYEjPjm4Pp4JOAgSHHXIoZxAqA/2JmcgqqOXdXzM1ll319DHQOqXMHRpnMs7/BOIIVwCT7Xe+wr6eB5ylXANthbnLr7He8GngYj0EtZkngn/G+5qws24AB9v3Vgd8GM6Auibd8tfxMZX2pmnqv2Ov9spDyB235LSHlYftHpPs9smmY11pPnSoVQLt9ub22fJ5rL+znrq4/YZ0s7G++1F63U4HeYdq6mBCnkmq+4+nAdWG+o1MwCmYRZpAeHqaO12HgecygpbZP9sdEIQjcy5YBt4Wc+0ust+QeuOYKsfcSjPdnICJDd2BXvPtEDD93hWsOo/juCvMbHoJZBSqw18VJhDgzYR4IJtjrcRfGKWuQ3TeOiuPQ+fb6KbTX9/fAeZ79Vd7zMWPih/ZYpVyhC+1vfSl/+Flqr9+8QH1bpx0mKsZmW28l8CqV3y96YiZxFmEmdHLt93MjFR+8NhCs/HYnvDPHfhi9oAAzk3gRMI+KCuAfME5+BZj7yBjP/tPs77PDyvUTcHIsr6OANl4lIjIA8KnqYrs9GrO0Nh94WI1diKMeY41JF2G8kb+LYruPYzy7Ko0ZVR+wy62LMDe9lfVAnnxgH1VdLSIfAr+q6t/scscSVXUG9I0cG/vsGVVtGkHd2zEKc98I2z4eM0s+YE/en8XE3fwa6KvBzmuxOl825gFqIkZ5uFJV/2fl+FZVs2Itg8MRCWLi5Z6tqh/GW5YAkQaCfgXjKYSYYI6fYox8rwPuj41ojmiixkNxDOZ3qzXWA3yImACdV2Nuvq9GQ8YY0wO4tj4of5alwBlW4TsWY7cE5ml2R9ykctQrRKSp9e68AaPQRYSqfoExZ+lcXd0o0xHzkBlz5c/yKmYpex5mVvZrW34Q5oHP4XBUQqQzgDuAA1V1iYjcBJyiqkeJyZDxmqp2j7GcjnqCiLyHWSpqjplqfwF4UiO5kBxliMgZmLiKScDXqnqsLb8TExcu6inKHPWLSGYAxWQXOh9jP3i+mtA0Dg9i8kh3BT5Q6xUuImOAHar6aVyFczgs9XEGMFIFcBcmun22iHwGTFXVR6zH2mK3XOVw1Bwx6bM6YpZ//bbsICBXVd3shcPhcDhiRqRLwPOAa0TkcGAUxogRjPdQaBwth8NRDSJyD8ZI/WcNDtD9GybdncPhiAARGSoib4jILPv6l4gMjbdcDkd9J9IZwCMwHj3NMWEILrXlf8cY+54ZUylrSOvWrbV79+7xFsMRDUoKoGhn1XUSkiCjVUxOP3v27K2qGi7TQZ0QER8mDNDmkPJWwGZVjSTW3B7F9StHNIlG3xKRC7BBwSnPsnAwJjfrWFV9s25S7hlc33JEi5r0q6RIKqnqt9aLMlNVczy7XsDE8qlXdO/enVmzwmVVczQ4nj4AtkWS7CEk5ufYz6Hj/pBSiyDqJQVQlAdN2yAiq2reQERUFi1/fyp8mPqB61cNmNJi2L3F9If0FvGWBiBafesB4G5V/b+Qtu/AOChGpADaSY5bMHHrOgKXqOrrnv0C/BUTBLglJuTHdWqC/gbqpAKPYmw20zEOKddqBNlqXN9yRIXJf0eOnh1xv4pIAYSyFEA5IWXZkUvmcFSCKkx7Cr5/3Lz3UmgdYg/5I0iYSbGlE2Hz/Irlr59k/ksiBBK3JCTC0XeZtkLZvQ2SUiA5A547GHJWwSX/q/1nqgRrTxuIQbfCGgYHSMRkUPhn1E/saNioQkEO5K41DygtukDT9pBQhRXPqukw9wMozoMlX5b3pXaDoeeR0GYf2L0ZcteZWfaEZNOeJEJyOmT1gmbtzOx6ZicQgXkfwaIJsGM1qA+atDGvjkNMuwNOxZeYysqteazYspvurZvQp21TjP4E5G2Gnesp1ZpkH6uSNsD7Yco/IDitV3U0xZg6vWFfodyGiXk6FhN4+B5gooj0U9Vdts4TmJiO52PifD4GfCYiB7hQaY6Ys205TH2wRodUqgCKyGQizNunqkfX6KwOh5dProFf36l8f6dhcGwl0YZG3xusNK78Ft79vVkWLsw1g1Tg3usvga/uMgPaoDMhyebZLsqDR3qa90fcBjnZ5v2MmOhhf8DM/r0K3IkJQhqgGBP8OjRhuCMeqELuGijaBektjcKFGiUsZyVsX2mulZICSG0Gac3N/6RUyOoJ7QeXz0AX5MDGebBmBqDs8KWyIaUHm1oNp8gHq7btZlZ2Dj+v2UF+USmdWqbTNSuDwenbOHnDM3TZ+TMpvrwg8YoTm7Ajsx9FrQbg73wgqQNPolVWFskCTH8aJo0Dr3lp03ZQsAM2zTWvaJC/DbYsgmwTWnTb5/fyqe9QfirowBLtTHfZyHEtN3J4s/U0z5lPRpGxeIh45qF6JmOiEiwLKR+JCSAcEao6ARMIOeB5XYad/bsReFBVP7JlYzCBh38PvCAizTGZkS5Rm8NbRC7CJBU4BhMc2+GIDb4SeLrmZq9V9cN5nveJmBydGzFT32By8nUgwil2h6MCWxbDexfC1iVmO605XP09pIRExUirZslKPLMJPY+Ev6wz732l5QPg1iXwT5tS8ZNrYPlkOPBKMyvy7aPlx3/7cPn7BZ/U/DNVg6qONyLLSmCahs+X69hTqJql0aJdFJLClu3bKVkxjWabZpC5aQapu9eXVfVJEqAkRjiZo5JAQfPeULSTjIKNQfta2Fe6vx0rtT2tacahms6FspF9EtaQsaOQxB1+0qW47Jhdms46bU0hyXSWrbT27aRtzhzImQPL3iR/8q187DuYIUnZ9MWsAk1IPZENKd1Zk9GfjU0HUlSYT8am2exX8gvdWM8abcNaXxY7tClJ4iMRP4n4aUo+3WUjrWQXrWQnHWUrKZTys7837/qOYr6/Oz4SaCW76J2+k+EsYGTpNLoVr+NS3udSb1bZ3fZlP8NabYMimCybdeZ/wN9trMQfbdnBwBnAOBtuyfweqv+u5Tl6YNIGBmJ1oqoFIvItJsvGC5il4+SQOmtEZKGtU0EBFJErMUvKdO3atZaiORyY1bNaUKkCqKpl62Q228N44AZvvDcReQIzm+FwRI4qTH4Avn2kvCyrF1w3AxKTo3eeRM/l3W5g8L6575tXKEMuNErjr29HTw6LiGRpeYLyuUAzkfDdR2uQyNxRDaVFsGMNu/J3s3FnCevz/KzfVUrChl84cN14ehSZiDtpQJeQQ3doEzZpS7JkJ20wzkibtAWrtB2rtR2r/G3ZTTpNKaCZ5NOUAtKliD6yjr6ylowd5uGmQFNYrJ35zd+LXaTTKrGA0Ylz6M4murOpUtH9ksSiNsfxVbvLWevLwqeQlpxAWnIizX05NMlZSIvcBQzMm86A0oWck2QmvTZoFveUjGVi4TBPawEltA+f06esNEGgRUYKLdKTaZqWREpiAh1bpFPcJIVWTVLIaprCQoW12/PZVVRK3/Rk2uaXsDWviEUbd/LZ9gI+YxD9W53Pn7osZkDiWjrkzUe2LaO0VV/ma3d+2N2FrZn9adetP4M6t2Rgx0z4W2pdftUAT9v/ZcqUh2c87xUzkVEb2tv/oT/UJkwkjEAdHxWjYmzyHB+Eqr6ISTXKsGHDXBxVR+1ZbZ990rOAapwmPUQ6E38xMCJMsN/nME9dN0R8RsfeTWkRvHEqrPascg46E05/IbrKXygiMOIPMP2Zyut0HQGnPG3soI57AN46C7PCFDW2iEjA8zeQX7WCpNRtsNqrKCr1sWpbPiu27Gbl1t2s3JrHrsJSSnyKv7SYY3I/5Iydb5JGEc2AZuBRfQy7NZXtmkmKlEBCIitT+rEwZV8WpOzL6uTupCQn0Swtic5NhaymqZCUVnZsE/sqKvGzOq+ILbuK2JpXRF5RKf7ifAanbqJ5i5aktulF0/RUkhKE/Ts154DuLUkVP2z4FXZvNUuphTugeRfosJ9Zck5IJCExlQGJSQyo9Bs4rPztmpn4539CXmZvdvc4lVskhetKfBSW+Cgo9lFQ4iM1KYE+bZuR1TSFBAFBSE1KICGhds/xqsqSTXnsyC9mWPcsEhOOD9qfhEmSul+tWo/o/JGGMovK6UK2K3Pkqmkdh6P2+H2w3CbAOeMl+PPoiA+NVAEUYDCwJKS8Xud/dexhSovh3fONMSoYZW/XekCgZXdTlhMmE1urPrFV/gIcdDWsmx2sfAa4+ntjsxUgIwsu+QKujMosRYCjKffwPSqaDTd2Snx+5qzK4YdlW1m2JY91OQWs21HI1ryisPX7yyoeS36O/glrAFjjb0OhpJKaCGkJPlLFhy+lGet7n0/JfhfQsXUWrZumkpggtMOsIcaeROg8rPpqkdLlQBK6HEgmkBm9VqtEROjXvtkeOlvcCEydtgfWeMrbUj4ruBHz0NYa2BJS59tYC+jYS8nfDi+PKt9uu0+NDo9UAXwVeFlE+hBsZ3Eb8FqNzuhovGyeD8smhdmh4RW/yybByqkw/LKYiwYYz8lLv4CtS+EZO/AmZ8DxDwYrfwGSUiqW1QFVnRruvaNy/H7l01/X8dD/FrNxZ2GF/SlSygEtdjOsWQ7903Jom640T8in55JXSPQVUdC0K+sPvZ/mg4+nc5MUQpfc65QY21EvEJEs4HhMOrigTquq90XhFCsxCt5o4Cd7zjTgcOBWW2c2UGLrvG3rdAb6A9OiIIPDEcy3j8I3fyvf7joCmtcs9XekCuBtGI+nG4BAvKUNwIPAP2p0RkfjpcQO0B32g7NeM6EiZr8GfY6DrnZOpbQINvwCHYeap5Uuw/e8nK37wLg9lau+cuwg8nsoW+FbALyjqgXxk6r+MG9dLnd9Mo9f1uygDTs4r/l6RrbZRd/kLbQqWkuT3atJ3LkGKfBBuG9s/wtJP/FReiW7TJWNFRE5GPgcKMKEhFmHcU4sArKBiBRAEWkK9LabCUBXERkCbFfV1dbe/U4RWYRZCbsLyMMqe6qaKyKvAI+IyGbKw8D8BoR7KnY4ak9BTrDy1+dYOPv1GjcTaSBoP/Aw8LCIZNqyyC0NHY0bvx82/GyWV8F47bbqZV69wqx0tqvcomlvwaaq+gwTMDbgDnkp8ICInKSqc+ImXJwp8fl5dvIyXv/mN06SH7gv/Xv21SVmSA8XUjezkwm70rK78SAv2Q39ToJ+x4ep7GhkPAK8hZmc2Ikxs9gNvAO8UoN2hhFs8HuvfY3HxP57GNNXn6U8EPSxnhiAADcBpcB7lAeCvtjFAHREnQIbkrlJWzjrFeh6SLDTY4TU+Ain+DkqMOOf8OUd5dvJGfGTJQrc8e/fmDB3I7ce1y+Wp3kR+B4TN2w3gIg0wZhbvIgZkPYqcgtK+Pectcz88VuOyPmYacnTyJAiY0KflAZdDjT2olk9jNd4Vk9o2c0ELXbsrewLXKaqatMrpqrqChG5HTM791YkjajqFKqIaGEdIMfZV2V1CoE/2pfDETt2bjD/m7WDHkfUupmqAkGvJPJA0D1rLYGj4bN9hfmf1dPYIBx0VXzlqSPvzDR23nd9Mq+amnViIGZ2YHegQFV3i8h9wF6VE2rLriKe/mYpP8/5iVv9r3BJ4tzyO1O3w+CAMdDvREhtWmU7jr2SYs/7TUA3YLNeboIAACAASURBVCFmebZjXCRyOGLJym9h/O/M++K6ZeKtagbQGy+jKXAzMJPyhNsjMMGgY2IDaHM5ngH0wyz+/AjcoaoxHZUdNaQw16STAjjsZhh6UXzlqSHLNueRIDBn9Q66tcqgZ+ta5A6uHYswA9SCkPIOVPS2b5Rsyyvi+2VbeWzCXE7b/T4fJn1KamIppUkZMORCkg6+0thrOhyVMwcYjukzU4D7RaQdcCHG/s7haFwElD8wIdTqQFWBoMsUO5sa56FKEm6HRNiNGiMxcQZ/wkzN3wdMEpEBLkhuPWHnenhqKJRaC/wGshS3u6iUmdnbycpI4bTnfqiQfjhWWG/FAHcBT9kZP69n/V3An/eMRHue4lI/r09byfuz1rJscx7DZRGvJL9M72SbcWP/C0ka/TcThsfhqJ47MeEdwfSdNzDBoZcAl8RLKIcjJqz8rvz92a9D/1Pq1FykNoBnAOESzX0A3BGmvM6o6nHebZtXMRc4FPhvLM7piJDifOPJu262Uf6S0k0Yle6Hx1uyiLjrk3l8/PO6aut9d9tRdH0oqqcODf4sGDsl9WwDfEojDARd6vPzx3fm8OX8TWSSx8Mp73JOwjcA+Fv1IeF3T0D3w6ppxeEoR1Vned5vAU6IozgOR2z5YEz5+4Gn17m5SBXA3VSecLtui9CR0wzjnp+zh87XeFk6sTxY8671sPC/MOqe8gtq9Y8mVh6ALyTQbsvu8NOrsPjz8rK+x8E542Mudl1ZumkXU5ds4afs6ieQ+3fIpEtW1J1Z9srgz6U+P3PX5fL8lOV8tWAj56bN4L7Ut0gt2gaJKXDYzSQcfjMkRTXotmMvQETOByar6sZqKzscDZmcbJMxCOCi6OSpj1QBfBx4NkzC7TFU4RUVZZ4EfqHcBjEIl1i7ErYuMxdOgJyVMOGWivU+GAtt+kNmR3j1uIr7w9HpAEhtBgeGpuCsf/y8OofTnwuOx3pUvzZ0b92Ec4Z1oX+HTPx+ZdmWPEp9SvfW0fdk3tuCP6sqH/+8jicmLWX19nw6spV/pb7K4fxirHq7HQonPwFt+sZbVEfD5WGgo4gsw9gATgGmqOqGeArlcESdrz0hLcOFV6sFkcYBfFhEsjGxls6xxQuBMar6flQkqQIReQyT9PKwymIq7ZWJtVVh1iuQu84EWi4pMLlFAZq0hh5Hwj8Prfz4A6+CmS+Ub79xClw2MbhOsw7Qz66qzHq1vDy1OYz5DFLiE/LF71fW5xbQqUU6IoKqkr0tn+JSf9j6171VHlbvgoO6MrBjc35/UPCDQkKC0Ldd7NJaiUgPVQ2TEiVsXQE6q+qaaivXUx6buISnvzGLBqc3W8z9/idp4tth4kQe+zcYcqHJu+xw1BJV7WIzVI0EjiRYIZysqlfHUz6HI2osmmD+H3pjpVUufnVmjZqMOA6gVfRiruyFIiKPA+cBR6nqij19/npHQOnbscbY4GV/V/0xAL08+QITkmDEddDzSBNa4zvr71NSCNnfl9c74WEYdll5gMlDroe5H5gBfMCpUVf+Hpu4hIkLNoXdt7uolJYZySQmCPPX76TIKnr7dWnBhQd15ZXvV7Jo466wx3p59Oz9OOuAmqXLiSLTReRz4GVVrWwmuyXmer8eE3T2mXD16jvv/7SGp79Zxn6JK/lnhwl02PqD2dH7GDjteWjaNr4COhoNqroUWCoir2IiU1yJ8QLuDTgF0NHwWT653Nly6MVhqxSW+Ph2yZaw+yqjRoGgReRoTNoqBebb4JkxQ0SexAyGI1V1USzPVS/x++GL28vt9QDWzymPAh6Opu3MrF2uTZmQkAgj74BhlTjEjboHjvwz3N8GinLh02sB0I77I6Hx/LJ6wJG3UVTqQxAS/YqqIiIUlvjILSip9UdV4LnJyyj1Vz55uzqM6d6va3bw65odQWV92wXHi1uyKa/s/bED29VaxiiwD8Zr8XMbtHY2JqViISa7wABM7tCZwI2q+mV1DYrIEcAtwAGYsDKXqOrrVdTvjsltGsoJqvpFDT5LpUxbvpW7P/6FO5Pe5oqkCcb1JTUTDr0BDrvJXJMORxQQkeEY29qjMA6CW4FvgSsIzuzhcDRMCnbAv04r384KH3b5m0Wba9x0RAqgiHQCPsYMMjZeAx1FZBZwuqqur/TgWiIizwIXAacBOSLS3u7KU9W8yo9sJPh9sOgzmPli5XWatIGUJmZGbvcWkAQzs3fwNRGdYu7aXJ78eglFpX7G+TvQK6HcbOa6Ncfwt7wiWjU1hvmbdxUy5tWfWJuTz67C0jp9tKpIT07kw2tGBJVdMX4W63NNnuHnLxjK+OnZ/LjCaINnDi2fzWvTLJWbR/clJSl4WXF3USlPTFrCwI7NyUxLjpns1aGqO4BbReQe4CSMWUM3TNqorZi0U1/WMNZlU2AeJvzFGzU47njgV892VEIrrd6Wz23/msrLiY9xeOI8M9t88LVG8XOhXRzRZwawBROP9ipVXR1neRyO6DJpXPn7a6aBVExYs2rbbq59q+bZQyOdAXwK8AG9AzZMItITeNPuO6vGZ66ea+3/r0PK72XPOZ7Ej4+vhrl2xb3j/nDUXeX7EpOgy8GQnFanU7wxPZtJC81Tw8k8QE/ZQImkssTfARAm3D+pTMH67Lf1ZcuuVdGhed1kOmVIRwZ2bB5U9ujZ+/HVgk30btuUEwZ34ITBHfD5lcSESjM3BdEkNYk7T6o/+YdVtQD40L7q2tYEYAKUxeuMlG3R9pxUVe7/aDov+cfRP3E1mtEaOfdf0O2QaJ7G4fDyd4zt333AxSIymXJHkG3xFMzhqDOFuTD7NfN+4OnQrmLY5eJSP0c+MqVWzUeqAI7GLMOWLR3ZfIvXU1FBiwqqGtno3ljwlZip3qZtIH97ufKXlA6H3wJ9jqm2ibyiUs56fhprtpvIPArkF/tITUogKYyyVGgVuhtG9WFot5YM6JBJm2apPPTFIp6fYpadP5qzNuiYc4Z15p7fDcTnV0p9/jIHDICsJilImKeTunJI79Yc0rt1UFmkyp+jUv4tImnAUuBxVa2zMvrJ7GwuWXMX/RNX48vqTeLFn0CLLnWX1OGoBFW9E0BE0jFLwCOBG4G3RWSRqu4XR/Ecjrrhnf074ZGwVe75tHzB6OGz9uXcGsSurZENYBiqnxJyALBmez5FpX5SEhNIThLaNUsjwavEvHmGyfG33/mw1pMK9rYVZc4WhSU+lm02q98+v/Lk10spLCl3ip6xcju+MDZ0RaV+iiqUGpqnJ3Pu8C50bFGexeOGUX3Yt1Nz8orMUq/aP6nJCYzq346mqXW9bBxxJA9jM/gDUAqcArwnImNU9c3QypGGV9q+u5j1nz/I6YkLKEhtTfrFHzvlz7EnyQRaAW2AdkAy0LrKIxyO+sz2FeWRNwafbSaHQlibk8+7P5lAEaP2acs5w7pwbg1OEelI/jUmbdX5gbAUItIVE5svJjOAjYlPfl7Hje/9ElQ2KmE2N3WYS15ya9oUrKBXrg2v+Os7ZXXmtD6VCV9lA9C+eRr//W1DBYeHcJwxtBP3nTqIX9fsYOqSLYzo2YrhPcLbX6UmJZCcGGwzl5acyAmDO9TgEzoaCqq6leD83bNEpDVwG8akI7R+ROGVHvzvz9zmnwACaWe/BC1cLE5H7BGR5zCzfv2AzcBU4DHMEnDUHAdtGLRuYXZNUNWTrPnFmJB9M1T14GjJ4GjkTH0YvnsM1M6reZMwnPBw2EO84c2evSBcsraqiVQBvB6TnmqFiKzHTAp1wiTbvr7GZ21kPDFpCe//VHm4toADA0DH5mmszy3koeSXaL1tZ9j6i/xd+MR3KB+sPZJtays6bA7okFlmBzq0a0uOH9S+bF9SgjCkawtSkxI5tHdrDu3tHoId1TKDOuRNnbM6B//cj2idvJOiNoNIjVKQUocjArIwduhRVfjCMJzg9IwdMF783tBokzCOiwGKYyiPo7Gwdja8dWb46B6SAGe9FtaBLreghF/X5gJw10n9SUuueXSFSANBrwGGishoTCgLARao6qQan7ER8sSkpdXWSUyAicdspmfqLtbm5JM1e3dQVtil/k7M8fdhun8A//WP4I/H7MPVKebneWDCwrJ6mWlJTLihYeTcdVSOiCSpauzcqWvGEEw4mlrx6BeL+EuiiViTeuh1Yb3UHI5YoKrn7aHzBAVYE5HLgJ3AB57iIpeSzhERvlJATfKGl48uL2/VG674BhJtWsyEREgMH7ni89/Kb9mXHNqjVmLUyJhLVScCE6utuBcxy5NXdsotI0m2IUiSti4kocA4oaWtmkqzWU+b6FRAWeCSxBS4cS4lm5dy/5QUVmzbDcDJXVtyw6g+ZQ4Vxwxox/hp2RT7/IzsW9EOwNEg2SAi44FXVHVhtbUrQUSaYgLegsmV3VVEhgDbVXW1iPwdOFBVR9n6Y4AS4GeMDe/vgOuA22tz/mnLtlKychqDUrPxZ7QmYeAZtf0oDkfEiEgXIFNV53vKjgLuxoRG+reqPhijcwtwGfCmquZ7dh0mIpuBHZil6DtVtebB2RyNmy/vhOlh4vuP+Qy6HxbRA/Ss7O385eO5AIzo2arWTpHOmj8SctfCy6Mhz5OlQgRfj5FsanMpg8UkKOle1MHkOF0zA774c/i2mrSBfa2ZZtcR0Kw9yc3aM75X5afv0boJ406p6P7taND8BbPsepOIzAReBt6rRYzLYQQHvL3XvsYDYzFLVaFX110YeyYfsAS4NJwDSCQ8P3U5Y5NM/OiEYZfUOTSRwxEhjwHLgT9DmU36f4FsW36fiOxW1adjcO7RQA9Mnw3wBfBvTJD17sD9wDcicoCqhvXBc/nr90I+uqI8wgeYOKmSCCP/DD0iX9mbsbJ84unGY/rUWhynAEbCutmwKyTWtULi8kmctHwSJ9nZWl4Kc2x3+6MmpcGJj5hsGo69HlV9CXhJRPoDl2IGjCdE5APMrOAPEbYzBWOSUdn+sSHb4zHKYZ1ZsSWP5UsXcVzqLDQhCRl2WTSadTgi4UCM7V+ACzBmDENUtVREbsE8YMVCAbwC+ElVyzz7VPVdz/65IjIbWIUJ+P7vcI3slfnr9wb8PigKb9/PUpvcqVVvuGY6JKXU6hSBCB23HtePg3q2qlUb4BTAyPDZFGcDToMzXwGU6U9dTJOchSYlWgJ0ycqgmTc8SnI6HPd/0KnmnjmOvQe7/HuriPwZE/z8EWCMiCwFngBeVNV6GW5p8uItXJQ0kSTxw4AzINN5jjv2GG0xClaAkcAnHrva/2DSLkYVEWkLnIoxm6gUVV0vImuB2k/POOo3qpAfEmvcVwwvHGEyc1WKwHUza50S0+9XVttYv01S6pZW0ymAkRBQAJNSTRYO4Pr8y9hSXMQLFx3AcQPbV3Gww1E5IpICnIGZBTwa+B54BZPX927MwLZHDN1ryozFa3go0a4+R5h+0OGIEjswcf8Cqd+GY2fTLEpsxrexGEOfd6uqZEMrdaIOzlWOeoyvFMafDKunV14nrXn48n4n1Skf+slPf8+CDWaGsUkdY/I6BTAS/FYBTExGVfllzQ627DJmHc3T45db1tFwEZGhGKXvfIxTxhvAdaq61FPna+C7+EhYNYUlPtqu+i8tE/IoaTeE5M7D4i2SY+9iBsZ+9lLgbKAJ8I1nf1+g8thctcA6f1wOvKuquzzlTTHpST/CKHzdMSnqNgMfR1MGRz1g1yZ4/hDI32q2E5IhLbN8vyTAiOtM/vMoUlTq44t5G8uUv95tmzKiV+2XfyFCBVBE/AQFLQmiEFiGsVt6qpI6DZeSAphnTTgSkrnzk3m8PaM83/iwbi3jJJijgTMT41F/JfBpJSFhFlLNTEO8mL0qh/P4CoDkQ66tprbDEXXuwSQhKMB4v/+fqnoDqZ2HyQkcTUZilnQvDCn3AYOBi4EWGCVwMnCOV1F0NAJ+eBIm3lO+PfgcOOPFmIe+Kij2sd99X1Fs07e2yEhm0s1H1rndSGcA/4B5wvkY8+QFcBBwGvAQ0AV4UEQ0Rl5X8ePH52CFXeZKacIvK0wmjo7N07hxdF+SQrJoOBwR0ktVV1VVQVV3U4cAzbFk7tw5XJ2QTWFiE9IGnBpvcRx7Gar6m3WgOhTYqKozQqq8CyyI8jknE8bhSlULgOOieS5HPcWr/I28w3jvxpCCYh8bdxYy+rGplNo0rz3bNOHhM/eNSvuRKoDHAXeo6iuesldt+IpTVPVUEVkM/JHYeF3Fj9y1ZW+PnNKTVWqmX9+58mC6tWoSL6kcDZyA8iciRwMDbPFCVW0QqRVlifFm29llFGku9IsjDti0hp9Wsu/zPSyOo7GT/X35+9uzIT22q395RaUM+uuXQWV3ntifK47oGbVzRKoAjgL+FKZ8KuWu+BMxsZkaD0W7ypIx31Z6NavUOHsM6JBJxxbp8ZTM0cARkR6Y8BCDgUCMoY4iMhc4U1VXxE24ati8q5CeeXMgEVoMPj7e4jgcDkdsWf0jvH6SeZ+cEXPlD2DY/eU5N7q3yuDYge2jqvxB5ArgNsxy76Mh5acB1hKSpkBulOSqH8z9sOztZn8miQnCsgdOKMvQ4XDUgVcwqaR6qupqKAtmOx4TYPboKo6NK98v2cQxCSbtakovl5bQ4XA0YlThVc8K/7m1iplfI+aszqGwxNj7/fV3A2qd6q06IlUA78UErT0aY7yumECcx2KCYoKJjj416hLuYXx+5dNf1rF9dzFn5W+kBVCS2pLvCgeTkZrolD9HtBgBHBxQ/gBs6rabgCpiC8SfFfNmkCn57EzrRGYLl8HA4XA0Yryx/i6bCF0OjEqzxaV+Fm/chV8r+tfe8ZFJ89YyIzlmyh9EqACq6qsishBj43cKxhB2IXC4qv5o64TODjZIfli2ldvfn00KJfRJnsCRifB03ih8JFLkq5fxeB0Nk9VAODuCNKIcviKa+P1KwiqTpES7HxZnaRwOhyPGvH+x+Z/ZuU7Kn6qycMMuCkp8AFz/zs+s21FQ5THnHxjbB+yI4wCq6nTq+cxENEhaMoF5qTeTKuVROfIxud6eOm9IvMRyND7+BDwlItcDP9my4ZjsH+HsbesFCzfuZHDJXEiEzH51D0PgcNQVEUkDTsbkvH5BVXeISC8gR1W3V320w+FBFbYsggJPRKGcbPN/4Gl1avqZb5bxj4lLKpS3zEimS1ZGhfJWTVK4Mso2f6FErACKSCom3+IAzBLwfOCdyhJdN1RkzXRSpZRSzHLv1pZDOHDoxdxy0HDSkuuWdsXh8PAOkAr8AASmlhMwMcXe8poaqGpmhaPjxPdLNnFewkIAxM0AOuKMiPTGOCA2w8Tg+wCTJeQau315/KRzNDiWfAnvnBt+3+F1ey73Kn/7d20BwOBOzbn3lIFxMy2LNBD0AOALIBOYa4uvAO4VkeNtPtNGQbKY6dlPWl/NWX/4P9phDB0djijzh3gLUBtWLfiJ5pJPfkZHMlp2i7c4DscTGAXwGoziF+A/wGtxkcjRcFCFDb+Uz/h5lb+uIzzvD4aMrFqfJje/pOz97LuOoVXT1Fq3FU0inQF8EvgZuEjVBMITkUzgTUwHbDRBMNXm/e2Q1SzOkjgaM6o6Pt4y1BS/QsL6nyEJkrodHG9xHA6AQzDOVL6QWZTVmHzaDkdFivJgzQxY/D/46aWK+894CfY9J2qnu+rNWQA0S0uqN8ofRK4AHgoMDyh/AKq6U0TuBH6MiWR7gOenLOe5KcvwOuHc49/B8ERITEmJn2COvYKGZlZRWFLKAJYDkNLlgDhL43CUES4he1caW1gyR93x+2H1dHj7XCgOydLXc6T5n9ULBp0ZxVMqP64wpqgXHFS/Vk0iVQALMfYUoTS3+xokE+ZuYFdhcArW9skmrGHnVs3jIZJjL6EhmlUUFPsZnGDjU3fcP77COByGr4CbgcvsttrVqXsBlw3EYcjJho1zTWzfBZ+UlzfvCp32h2PGQVZ0HS425Bbw65pcvlqwsazsmpG9onqOuhKpAvhfTBzAKyif8RsBvICxtWiQlNiwLh9ePYJ+7ZuRMu1xUr81Y3HnVvXG7t7ROGlwZhUFJaX0Ehv3vd2Aqis7HHuGm4HJNhVpGvAe0BvYBERvDc/RcFnzE7xyTMXyw26CUX+FGDhgLNm0i2Mf/zaorHXTVJqnh5usjh+RKoA3YDIUfIfxUgTjsfgf4MYYyBUb8jbD9GegOB+Aq3evIzephN6zvqRZegos/aq8rvNwdMSWBmdWUVpcTIYUUZLakuQ9kArJ4agOVV0vIkOA84GhmHHpReAtVa06yJqj8bNiKrxxSvn2PidDajOj+GV2qHPzv67ZQfa23UFleUWl3PnxvLLtY/q3IzMtiZuP7Vvn80WbSANB7wBOFZE+wD6YQNALVHVZLIWLOu+PgdXTyjZPA/MNzAupd800yHT2w46Y0uDMKsRnTROjvFTicNQFq+i9al+OvZW8LbBiMqgnYcPHV5W/P/t1GHg6YDJ+TVm4idyCEmrLhtxCHvlycZV1Hj17P846oHOtzxFrIo4DCKCqS4GlMZIlLCJyLXAr0AFjJH+jqn5Xq8a2G/ulvKxBbO51Jh/OXkteUSk3HdOXlhnW6aNFV2g3MBqiOxxV0eDMKhLV3CyT2vSOsySOvRkRuTjSuqr6RpTOOQ74a0jxJlVtb/eL3X8l0BKYAVynqvOjcX5HNeRtgUeruC9d+hV0PQiAFVvyuO+zBUxZvCVqp//dfsETRgKcPawzh/dpE7VzxIJKFUAReSrSRlT1+uiIU0GGczG2UtcC39v//xORAd4cqpFQ4vOT6CslAThq/TVsWd8S6AfAH4aNgmZp0RXe4aiaBmdWkYpRAKVVnzhL4tjLeTZkOwXjCewNqF4CFAFRUQAti4GRnm2f5/1tmAw+Y229e4CJItJPVUPcTR1Ro2gXLJoAH19ZXtb5QMjy5M/tcWSZ8gdw9D+mBjVx+v6dan36BBEuPLgr+3dtmCYxVc0ADo6wjYqZjKPHzcDrqhoI1PNHETkeE/Tzjkgb2V1Uyqh/TOWronwyBYpIYb8uLUhPTmDfzi1o65Q/xx7GY1bRG+hPAzCrSA6kR2zRJb6COPZqVLUsSKuInASMwzw0zbDFBwGPAX+L8qlLVXVjaKGd/bsReFBVP7JlY4DNwO8xs/qOaLPsa7PEu9szkzf0Yjjl6UoPmb++PDLQmBHduO6o3rTN3HvH/0oVQFU9ak8KEoqIpAAHAI+G7PoKE/wztP6VmOl3unYNTqC8cutuNu4sJDnVDGCXH9mX609weX0d8UFEkoE1wCi7RFRvlT4vyfiARGjaLt6iOBwBHgUutbnqA/wgIjcCrwOfRfFcPUVkHVCMUTb/oqorgB5Ae8zYBBi7RBH5FjNWOQUw2iyaAO+eX76d3hIOvwUOqTrB0v9NMNG1UpMSuPfUQbGUsEGQEG8BqqA1kIhx5/eyCdPZglDVF1V1mKoOa9MmeN39s982AJAuxQBcf6yz8XPED1UtwSxR1Xn2XESOEJH/iMg6EVERGRvBMYNFZKqIFNjj7pEIklEmYWcAm1Xofg5HvOgO7A5Tno8JBh0tZmCWd0/AxOtsD0wTkVaUj0cRjVUBRORKEZklIrO2bImePdpegVf5O/J2+NPiapW/X9fs4Idl2wC4/PAeVdbdW6hUARSRu0SkSSSNiMihIvK76IkVROggKWHKqqR4yzK+SLm9vCChRr4vDkcseBq4Q0TqejE2xfix3wBUG/bCxhqciBmchgPXY5ysbq7u2KSAyZObAXTUH2YAT4lImSGXff84UQynpKr/U9X3VfU3VZ0EnIwZP8d4q4UcVuVYVdWkhaMKVnt+1qu+haP+AklVp1fz+5VTn/2hbHvsIU4BhKptAHsDq0XkI4xh+qyA/YOIpGHSVx0GXAi0IrgjRIOtGCPb0CeotlR80qqSe1ZcUK7qtugak8CPDkcNORw4ElgnIvMImcVQ1VPCHhWCqk4AJgCIyOsRHHIBkAGMseEz5olIf+BmEXlMVSsdsBLx45ckElwMQEf94TLgEyDbLs8CdMI4YpwWq5Oqap6IzAf62PODGavWeKrVeKxyRMAXfzb/k9Kgw34RHfLWjFVl7588bwhtmtWffLzxpNIZQFUdi/F4UuBfmIGqVEQKMIPVLOBi4GWgv6p+H03BVLUYmA2MDtk1GphW8YiKlPj8rPvg1uDCS76IhngOR13ZCnyEUd5WA9tCXrFiBPBdSJDcL4GOmOW0ILzLVABFaW3cA5Sj3qCqy4F9gZMwjh+PAycCg2PpUGUnQfYBNgArgY14xiq7/3AiHKscNSDX6vkjI/MDXZuTz92fmmg8PVs34dQhtff6bWxUufykqnOBq0TkGkwn6wakYwavX1R1a4zlewz4l4jMBH4ArsYMVP+M5OB3//M5F81/sWx71pk/Mqy5+/Ed8UdVL4nTqdsDa0PKNnn2rfTuUNUXMZkVGNYxUQvT2pAecxEdjsixs9Zf4XHCiDYi8igmdudqzMze3UATYLyqqog8AdwpIouAJcBdQB7wdqxk2msoLYJZr0L+drNdZKPqDK06HGRufglvz1zNQ18sKit77sKhsZKyQRJpJhA/8It97TFU9T1rZHsXJhD0POBEVV1V9ZGGw5Y8WPb+/n4fc1v/fjGR0+GoKSLyDXCGDQfjLc8EPlHVo2N4+nC2SuHKK1CU1jr60jgcNUBEbgaeU9VC+75SVPWxKJ22M/AOxjlxC8a+8GDPWPQwZnLkWcoDQR/rYgDWkNIimPliubIHMPcDyF0TXC+lKaQFJ1LaXVTKG9NXsavQxCv959Tl+D13tJtH92Wf9pmxkrxBUu+9IVT1OeC52hyb4jM5fxf2v567zo3leOpw1JiRmAC2oQSWjmLFRsLb1UIE9kpFac5Y3RF3/ogJol5o31eGYlaR6oyqnlfNfsXEIxwXjfPtdWR/D0u+hHn/hp2hCxSW5Aw41MbI7zYCEsot2JZvo3b/rgAAG0hJREFUyePM56exI79iareebZrwh6N6c8bQ+puSLV7UewWwtuwqLCGvsBgSYGunY+ItjsMBgIh41yD2FRHPoy6JwHHAOmLHdOAhEUlT1UDO4dHAeiC7uoOL3QygI86oao9w7x0NDF8p/Pgs7Npk/ntJbgKHeyZ3U5rAkN9DWvOwTZ3wxHcU+0wimPaZaVw0ohsAzdOTOWdYF1KS6nPEu/jRaBXA/83byP52RSs5qdF+TEfDYxZmZiJgtxRKAVXPagQhIk0xHvtgnLq6isgQYLuqrhaRvwMHquooW+dtTM7S10XkfqAv8Gfg3qo8gAMUuhlARz3C5gV+T1WLQspTgPOilQvYEWV+ex+mPAjblweXj/orpDaDfc+pVNkDUFXGT8sme1s+G3ILypS/yw7rwS3H9iM9JTGW0jcaGq1mpKok2NSQiYnuYnDUG3pgbO5WAAdi7IkCFAObVdUX7sBKGAZM9mzfa1/jMYFrOwC9AjtVNVdERmNslWYBOcA/iHCpzJfcrPpKDsee4zXgC0zaNS/N7D6nANYn8rfD1/fB7NfKyxKS4Zhx0OUg6DK8ysNnZW/n01/Ws3DDTmatygnal5qUwN0nD4i+zI2YRqsAJicmIIEZwGSnADrqBx6j8aisSajqFMqdOMLtHxumbC5wRK1O6ELAOOoXlQVb7grkhil3xIutS+GZYcFlJz8BA06FjCzATNw8N2U5a3Pywzbxzsw1Fcr++rsBJIgwqn/bMEc4qiJiBVBETgeOwhiMBw1eqnpOlOWqMxkpSSTY+0LTtHC29g5HfBGRLhiHj3B9Klrei1HGKYCO+CMicyk3pZgqIqWe3YmYkGUT4iGbI4T87fDto8F2fh33h7Neg6xgE867P53Hmz+urrbJW4/rR8uMFI4Z0Ja2zdKiLfFeQ0QKoIj8A2OX9APGU7AmS1RxoUlqYtkScK82btnKUb8QkQuAV4FSzDKwdxYjat6L0UbdDKCjfvCh/T8I+BwTcy9AMcah6aM9LJOjMBcm/x0KPMuzv70bXOeQ6+HouyEphdz8Eh6ftISdBSUUlPj437yNACQI3H/a4LCn2KdDM4Z2ddmIokGkM4BjgLNV9dNYChNN/Fo+VyEJzgPIUe+4D2N7d3cNbf7iijgF0FEPUNV7AUQkG+MEUlj1EY6Y8/Nb8Om1le72dRzGW+m/Z9a2ofCByczxn1/Xh6075+7RtMhwK3exJlIFMB9YVG2teoTfr4jYSRVxCqCj3tEOeLkhKX8OR31DVccDiMjRmPz0Csy3trGOPcX2FcHKX4f94KBrmLRwE+t2FFCY0IRHV3SjhCRMxKlghnRpwUUHm9AtB/XMcsrfHiJSBfBB4DYRuUpVS6utXQ/we7yAnQLoqIdMAA7CeAM3INwMoKP+ICKdgI+BAyjXLDra3NWnq2r4KSZHdMj+AWa+AAs8i4PnvQO9R7E+z8/l735T4ZBBnTK54vCeZdtNUpI4om8bF6svDkSqAL4EnAysE5ElQFC47RinraoVc1bnMBA3A+iot0zEBGQeCMylYp/6d1ykqga3BOyoZzyFsUnvraorAUSkJ/Cm3XdWHGVr3Cz5Ct4+O7jspMdgnxP5cv5GXvvBpBXvkpXO7cfvA0BGSiKH9m5NapKLzFEfiFQB/CfGW/ELjBNItQFj482zk5czJtUpgI56ywv2/1/C7FOMJ2O9Q90MoKN+MRoYGVD+AFR1hYhcD3wdP7H2AjzK379aXsfalB4snjsI5s1kyuLy8Kb7dW7Byft2jIeEjmqIVAE8B5O4fmIshYk28v/t3XecnFW9x/HPd9ObocQoCEiQIgEhAleKSBEURPEKV0QFJFHhAkZAkSiCFBW4XKRZQMqFAJEiVboIUsTQQQhFpImUkBBCCcSUzf7uH+fZZDJsdp/dfWbnmd3v+/WaV+ZpM7/kNb/MmfOcc36tt4D9pWUlExEN+avEmWQNoqXjU6xLnrud5ht/vLjxsOv8o3lo+trZ1qylTj19j4341FouH1lWeRuAs6htfdKaaPItYLNi+RawlcutwC8lfS0iXgSQtBpwGu4BLMSiluCIq6fxz1lpceYpr+xC/6x9/WTLqjwUqfF33vilq3isOXo4q64wtGeDtU7J2wA8CvippPER8U6HZ5dAk2BFzUkbbgBaSUiaCuwUEW9m28cDJ0bE7Gx7FPBQRKxWxzCXzQ1AK5cDgT8Az0l6hTR84kPAo9mxQkg6DNgVWAeYD9wDHBYRj1WcM5m0ZFqleyNis6Li6EktLcHhV0/jyodeZn5za4dqEIMAwaEL92XeWjtzwRbrsuEqyzFy6IB6hmtdkLcBeCiwOjBD0r9474D1DQqOq9sOHhfwZLbRr9dWvLPGsxlQucbBd0iTrGZn2/1IX2Cl5EkgViZZr99GWX3rj5JGKTwREbcU/FbbAKcD92fv8VPgFkljW3+8ZW4B9qrYXlBwHD3itqdmcuBFDzNn/pJFP9YYNYzjPj+G/pemxuAe+x3OBh8aSVOT/09oVHlbRpd3fEq5vH/h9CUbg0fWLxCz9jXY/54NFq71Cdn49JqNUY+IHSq3Je1FqjX8SeDaikPzI+LVWsVRhIjgqGse55EX31zmOY+8tKSM8hqjhnHibhvwsWFvM/DS3dPO4R9g3KrL1TpUq7EOG4CS+pN+9dwbEa/XPqRiDF8wE4DnR2/PmA7ONTOzxiTpAFJP+hhg/WwW8I+A5yLi9zV62xGk+t1vVO3fUtJM4E3gDuDwiJhZoxi65I+Pv8oFd7+Q69yz9tqYbT86mgFNguPWh4XvpgOj161hhNZTOmwARkSzpCtJ3esN0wDc8cVTAVjUz4WirVRaC9hX72sMvgVsJSLpYGAScAKpYEGrl4GJQK0agKcBfwPurth3E3Al8DxpyNTPgT9L2jgi5le/gKR9gX0BVlut9kN+p9zzAlPueYG/vzpn8b6rv/PJZZ6/8sjBjH7xRjj7JHjr5SWNv80nplq+1vDy3gJ+BFiTVGC7ISzSAAbEAqaP2pw16x2M2RICpkhq/UIYDJwtaW62Pag+YeXlBqCVyn7APhFxvaSfV+x/CFivFm8o6WRgS2DLylKOEXFJxWnTJD0IvAB8ntQwXEpEnAWcBbDJJpvU9EfgjLfnccTVjy2174r9N2//Nu6r0+Cy8Uvv+8D6sMOxxQdodZG3AXg0cJKko4AHgXcrD1YNgi2FJlJevjS6dEVKrG87v2p7ShvnXNATgXSJewCtXD4MPNbG/oXAkKLfTNIpwFeBbSOi3TKOEfGKpJeAtYqOozN+eu0TnPvXxetkc83ETzJ6xGA+OLKdu2MPXQjXTFyyvfe1MHRFGLX2sq+xhpO3AXh99ueVLH27SpS0aoEim7beVLrQrA+LiAn1jqE75B5AK5fngI1IPW2VdgKeKPKNJJ1GavxtExF/z3H+KNKM/ukdnVu0Bc0t7HvhAzw5/W1mvL3k7vPRO49lg1Xa6PX71z1w7cGwMLsR8WbFP+fuU2DMVjWO2OohbwNw25pGUQNNWc+8mrwEjFlh3ANo5fIL4NeShpI6JDbPZuhOAr5Z1JtI+g1peZcvAW9I+mB26J2IeEfScNKdsitIDb7VgeOBmcBVRcWR181PvLpUObb1Ri7gquVOZeC9s+DeNi54+6W2X+jAh2GFNWoTpNVdrtZRRNxR60CK1loGTk1eBNrMrDeKiPOylSqOA4YCF5ImgBwYEZcW+FYHZH9WVxc5htTwWwR8DPgGsBypEXgb8JWImEMPuvXJGZx38SXcPvC3DNN8Vhg2kH5zZ8KMHBfvNhlWGpeeDx8NA4fVMlSrs9zdY5I+QJpqP5Z02/dx4IyIyPOx6nGtZeAk3wI2K4x7AK1kIuJs0kSqUUBTLZZdiYh2P/gR8W9gh/bOqaUXZ89l/Hn38cbchew871quGFQx1HhuxYlbfg82+VbbLzJoBAzx2n59Sa4GoKRPkqa4z2DJtPc9ge9L2iEi7l7mxXWRGn+LQsirlJsVRi6raCUVEbPqHUM9TH1mFl8/J93X3blpKscMrGj8fe0SWPnj6Xm/gTB0hTpEaGWVtwfwF8DFwH4RaXaF0jfBb4GTgC2KDErSCqSu9c+QZnnNAq4Djsi1GHU2TWURTS5dZWbWi0iaRs61M8tYprRoJ/3pHwDs0+86Dh9w0ZIDhz4Lw0bVKSprBHkbgOOA8a2NP4CIaMnWQ3q4BnGtTJo9NYk0k+tDpDqMFwOf7fDqeanETQtNuAPQyiT7cdOhMi6tBPgWsJVBw5UmLcp+Fz7IbU8tfYd7z7iWCwZdzjBVrDV98GNu/FmH8jYA3yKV2Xmqav8YUsmbQkXEY8CuFbuekXQocJ2k90XE2+2+wBv/BIYznwE0+QvLyuW1Do53emmlrBTWocBKpLG5B0fEX5Zx7uqkSgXVPhcRN3X4Xl4GxuosIo6pdww9pXlRC185824efektmlve2+l5VP/zmTDgj0t2jFgZJt6XxvOZdSBvA/AS4P8kTQKmkr6gtiSV3rm4RrFVex8wn6WHtLZtyHI8PHwLLpw9lq39fWXlItKaZZNJtUK7VQFA0u6kslQHAHdlf94oaWxE/KudS3ckVfhpVc4eR7N2SFoP6BcRj1bt3wBojohC1wLsSS0twdVn/Jjfv3Ym/Qe2tHtuDByBDnoEhiwPXvnCcsrbAJxE+uI6t+KahcAZwI9qENdSJC0H/Aw4OyKal3HOUnUVz1n5GK6fNZ1t3QNo5TIW+BawP2ki1XnA5Ih4pYuv9/3s+rOz7e9K2jF7/cPaue71iHi10+/mdLJyOQv4DfBo1f6xpFrAW/Z4RAV4esYcvnL6nTysMzrOuVU3RRNucsPPOm2ZDUBJWwFTI6I5IhYAB0k6DPgI6SP5TER03Bu39Gv+HDi8g9O2jYjbK64ZBlxLWttp0rIuqq6reGe2CKbbf1YmWQWBQ7Nc2pm0WO2Rkm4FzomI3IvGShoIbEyapFXpZjqemHWlpMHA08ApEdHmuKrKH1Ybr9QE+EvGSmUD4L429t9PWpev4fx7wSL2Pvc+Nlt4LwxM+xb98F/0G/y+ZV/kLzrrgvZ6AG8jjSmaKek54D+yGbjTuvF+p9J27dNKi29bZaur35BtfiEi5uV9o9VHDWPay2/R37NArISynuyrgKskrUKq/3u5pPd3YgLIKNJYweq1OGcA2y/jmneAHwB/BZqBLwKXSto7It6Tm0v9sFq5X/iLxkpmETCyjf3L04D91Udf8ziTp/6TATRzxuDT0s5Ra9NvSFt/RbPuaa8B+AZpksdMUlmbbv/0z9ZpyrVWk6QRwI2kJN4xIt7pzHstygbMrrL80E5GadYzJI0h9QDuDbSQhjm81YWXqh5HqDb2pRNTDp5UseuBbAHdSXT848zLKlnZ3AEcLmm3iFT/M6sMcjhwZ10j64I7n053riYMuGXJzi/+qk7RWG/XXgPwCuAOSdNJXyYPSFrU1okRUWixwKzxdzNp4seXgGHZrWCA2dkt6Xa1NgD79/MXlpVHdtt1N9I4wE8A12TPb4mIzk4ImUXqAflg1f7R5Cv81OpeYEK+U51PViqTSJOfnpF0V7ZvS2A4sFXdouqi1+akpVx+NOQqWACsuhmstll9g7Jeq70G4H6kL6e1gJNJg9V7qqbhxkDrp/4fVce2BW7v6AWaW9KsKd8CtpKZTurlmwx8myWzb5ev7F3Lcxs4IhZIepC0YPplFYc+Q/oBl9e4LC6zhhIRT2UzfieSPscCfgec3o2JVXXx4uy5zJnXTBMtNC3Ivmo/+7P6BmW92jIbgFlvxPUAkjYETuqpotbZJJButdxaewD7eWaUlcvI7HEk8JM2jnd2HcCTgQsl3Uca17cfaSH13wJIOh74RERsl23vTZrB/zDptvPOpBrfP8zzZr4FbGUTEdPpeHJh6d0wbTr9aea2gYcs2bnShvULyHq9XMvARMQEWHz7ak3SF9SznZmU0dNaF83s5y8sK5dti3yxiLhU0orAEaRJW48BO0XEC9kpK5Fm7lc6glRicRGph/2bbU0AaZN71K1EJG3U3vGIeKinYumuW/8+k2sHHsGqTdla8eP2hP6D6huU9Wq5GoDZoNrjSd3sA0m9FPMl/Qo4PCIW1i7ErnlnflousJ/HAFqJRMQdNXjN00mlEts6Nr5q+3zg/LbOzcf5ZKXyAKlDovKDWTmWNndFnXob1rSQdZuyRTA2nwg7HFvfgKzXy3t/9H9Ji9buB6xNGhe4P7AXqWFYOm/OTW1SjwG0MpF0u6QjJW0paUC94+ksZ5OVzBhgjezPMaTvp6+Sliv7Qj0CknSApOclzZP0oKRP5blu/dlp5u/CIaPd+LMekbcSyNdJt4luqNj3rKTXgHNI64qVxryFSyYrv3+4u9CtVF4mLax8NDBX0lTgz6R1N++PiPZrPtWbh1RYiVQMdaj0jKS3gKNIS4n1mG6UZuRL7/4emqBlyPI9EKlZ/h7AkcCzbex/FliuuHCK8fTMtGTgiEH9aXIPoJVIROwREasA6wCHAK8DBwF3A29Iuk7S9+oZY/ucT9YQnifNCu5pi0szRsSTEfFd0gz7/du76N05b/KRpjQRf8DWh7R3qllh8jYAHwEObGP/QcDfigunGIP6N7HW6OHsu1WhyxOaFSYino6IMyPiaxGxEql26S+BT/He0m7l4R5AKxFJK1Q9VpS0Pmlo0lM9HEtracabqw51WJpx2JznFz9vWm+XwmMza4vyrD2b1QW+AXiF1FMRwOak5SY+FxF3tXN5j5M0hx5Ofuu11omIEbV4YUnvB7YhzQzehjRb9yHg9og4rBbv2R3OKytYt3NLUgttV8J5Edg9Iu7pzut3MpaVSUM8to6IOyv2HwnsERHrVJ2/uM42sD5pBr9Zd+XOq7zLwNwpaW3SemEfJSXYZZR3sc2nImKTegdhjU/SAwW/3i6kBt+nSUsqPUha2Pxg4K6ImFvk+xXMeWWFKSi3qpdVagFeA57J6m3XQ67SjJV1tiU94NyyInQmr/JOAiFr6DX8YptmdXYF8ALpFtUFZV5L06zsarGsUjcUVZrRrEfkGgMoaWtJm1Zsj5d0l6QzJQ2vXXhmvc5RpMlTpwBPSTpf0gRJY+ocl1nDaGPsX5uPnowpq1HfWpqx0meAqT0Zi1keeSeBnEr2q0bSOsCZwKOkcYAn1ia0bjmr3gFYr1HoZykifhYR2wPLA98AngP2Bp6Q9ELWIBxf5HsWyHllRerO52kW6VZve4+Z3Q2wC04Gxkv6tqR1JZ1GRWnGdji3rCi5P0t5J4G8DYyLiOck/RjYIiK+kPUKXpEta2FmXSRpOdKyMAcCwyOiYSoYmPU0SVu3c3hH0goVzRHxvh4KaTFJBwCTWFKa8XuVk0LMyiLvGMDK4vTbAVdlz18FViw6KLPeLqsCsilpEPu2wGbAYNL6ZZfVMTSz0mtr7F9WF/gEYCvSXaqf9XRc0H5pRrMyydsAvB/4iaQ/kdYpa526vjqpEWhmOUg6jNTg2wIYCrxEqgJyPnBbR9UCzGxp2fjZY4HdgCuBsRHRVuECM6uQ9xbw+sBFwIeBkyPimGz/r4HlI2KPmkZp1ktIeoXU4LuN1ODzF5VZF0haETiSVKP+r8CkiCh02Saz3izXJJCIeCwiNoiIka2Nv8wPgPE1iawLulqE26ySpK0kXSPpZUlR5KSMiFg5Kwd3TiM1/pxbVoSicisbi/4ssDXwnxHx6UZs/DmvrAhdzau8s4DbFBHzImJhd16jKBVFuI8DPk6adn+jpNXqGpg1ouGkwdsHAf8u8oUlDZH0myxRZ0q6SNKoIt+jaM4tK1BRufVzYABpCMUB2Zffex4FxFszzisrUJfyqt1bwHkTKCK+mPcNa0XSvcCjEbFPxb6ngcvLWFbLGoOkd4CJETG5oNc7ETgA+B0wD/gaqfTbbkW8fi04t6wWupNbkibTRnWNahExofOR9QznldVCZ/Kqo0kgrxcSUY1VFOH+RdWhDotwm/WwXYFvRcQlAJKmAH+V1C8iFtU3tPdyblkZRcT4esfQHc4rK4N2G4Bl/vVUZRRpmZrqcjszgO17PhyzZVoV+EvrRkTcJ6mZtFjsi3WLatmcW2bFc15Z3XVrDGAJ5SrCbVZH/YAFVfua6URd7jpxbpkVz3lldVP2L528XITbGoWAKZLmV+wbDJwtaW7rjjKMq804t8yK57yyuusVPYAuwm0N5HzgFdL42tbHFNLt38p9peDcMiue88rKoLf0AEIqwn2hpPtIi4LuR74i3GZLkTQcWDPbbAJWkzQOmN3dSh0NNK62knPLClHL3GpAzisrRFfzKlclkEbhItxWBEnbkCp1VDu/0WcfdpVzy4rg3Fqa88qK0NW86lUNQDMzMzPrWK8YA2hmZmZm+bkBaGZmZtbHuAFoZmZm1se4AWhmZmbWx7gBaGZmZtbHuAFoZmZm1se4AWidIikkfbnecZj1Js4rs+I5r9rnBmADkTQ5+0BXP+6pd2xmjcp5ZVY851X59aZScH3FLcBeVfsW1CMQs17EeWVWPOdVibkHsPHMj4hXqx6zYXF390RJ10uaK+kFSXtWXizpY5JukfRvSbOzX2kjq87ZW9I0SfMlzZA0uSqGFSRdJuldSc9Vv4dZA3JemRXPeVVibgD2PscA1wDjgLOACyRtAiBpKHAT8A7wCWAXYAvg3NaLJf03cCZwHrABsBPweNV7HAn8AdgQuBQ4V9KHa/dXMqs755VZ8ZxX9RQRfjTIA5gMNJMSovJxQnY8gLOrrrkFmJI93wd4CxhRcXyb7Lo1s+2XgP9pJ4YAjq/Y7g/MBfas97+PH3505eG88sOP4h/Oq/I/PAaw8dwJ7Fu1782K53dXHbsb+Hz2fF3g0YiYU3F8KtACjJX0NvAh4NYOYni09UlENEt6DRidL3yzUnJemRXPeVVibgA2nrkR8UwXrxXpF1FbIjuex8I2rvVwAmtkziuz4jmvSsz/CL3PZm1sP5k9fwLYUNKIiuNbkD4HT0bEDOBlYLuaR2nWWJxXZsVzXtWRewAbzyBJH6zatygiXsue7yrpfuB24Muk5Ng0O/Y70qDbCyQdCSxPGkB7ZcWvtGOBUyTNAK4HhgLbRcRJtfoLmZWA88qseM6rEnMDsPFsD0yv2vcysEr2/Gjgv4BfAq8BEyLifoCImCtpB+BU4D5gHml21EGtLxQRZ0haABwCnADMBm6o1V/GrCScV2bFc16VmLKZMdYLSApgt4i4vN6xmPUWziuz4jmv6s9jAM3MzMz6GDcAzczMzPoY3wI2MzMz62PcA2hmZmbWx7gBaGZmZtbHuAFoZmZm1se4AWhmZmbWx7gBaGZmZtbH/D9pu2RGEE6gvQAAAABJRU5ErkJggg==\n", 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\n", 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Optimizing objective 1...\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "/home/jlinder2/anaconda3/envs/aparent/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": [ "Epoch 1/1\n", "5000/5000 [==============================] - 104s 21ms/step - loss: 0.6314\n" ] }, { "data": { "image/png": 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\n", 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0M8ZzSOGvOCUb/UyncofQPr0riZ/F/8vyuEyum/eZ+9/pjntQ/VMdQVfqHMdxHMdxNgF896vjOI7jOM4mgCt1juM4juM4mwCu1DmO4ziO42wCuFLnOI7jOI6zCeBKneM4juM4ziaAK3WO4ziO4zibAK7UOY7jOI7jbAK4Uuc4juM4jrMJ4Eqd4ziO4zjOJoArdY7jOI7jOJsArtQ5juM4juNsArhS5ziO4ziOswngSp3jOI7jOM4mgCt1juM4juM4mwCu1GUQEQ1/0wc7Lo7jOI7jOHUYVKVORLYXkZ+LyCMislxEZonI5SKyw2DG66mIiIwSkV+IyEOudDqO4ziOU2SwLXW/AI4BbgO+A9wE7A9sPpiReoqyGbA3cP2A+diQ59CQLWvITaMhL64hJzTkcBoysobsc2nIbjXkhtCQaR3lnM40ZBgN6R1gP8fRkOED6udGgIhMEZG+gluPSOeyKiJDRGQnEZGC+3YiMqLgtoWIjF/3eLKjCC3h0JCxGblhIgwtyG1PQ6ava9hZGrItDRk2oH7WRIQ9RNiu4HawCG8ouI0UYbeC2zARnp/mZZA7S4SdW2VlB5F1qxMijBHhRZn4vF2Etve2zjTkmTTk0BrxkZDudavjDRlKQ4rlahiN1rqz3jTkUBry7AH1Mx/O62jILk92MCLsKkJP87uIiJwtIqd2enbQlLrQIO4OLAAOVdXTVPUoYApwY5DZXESuE5FHRWSViMwVkR+ISE/4fXpitXq7iDwsInNE5EQROVZE7g/PfCAJ97tB/n9F5DIRWSoifxeRPSviOlFEvikiM0VkkYj8UURemPzeLyL/EpFlIjJPRP4sIi8o8WtHETmr4m/H3HOqulBVt4HWBmidacg2wB+B62ooYRcCV9GQlwLIm0TTv0TuROAy4OvRISvbkCnA1cDvacjEDn5+Hrifhjx//RKc0JBzaMj3aUj35V9kAiI/R9oaqs1otHbSiByOyE7rFdfWMIbTkPfRkK0L4VyFyIGJnIT0fa+Qxh8B99CQbZNn90LkU7XCF/lLS3oaMgG4HfhNSzgiL0Kq31fF+64XlfV8fgA4E/ivgtt/AufGL0nbpCItcZwG3AltnfTfgX0KbhcCJ3SMTUP2oyFnpXVZhCOAu4APJXLPAebRkI8mcpsBfwEuW6u0NGQM8HvgehoyCcrzXIQtRfimCNOq5GjIHsA9wHc7pqcuDemlIW+hkSjDImMRWY1YvEMcp4b0/FaEEcFtFPAz4AIRnpP4+g3gNhGel7i9B/gD9o4j7wDeCZzfDEeGAHdAU9GrKAc5zgxxfFXi9n7gbOBzlU9avX9/eMdVcsOAXwNX0JC9obI+HYul+7Md4p0LZyjwO+AvLe8HfoC1Q2tn5ETYRoQfiLB10ZuUkv5kO+BS4GoaQTdYj/ahovw+H2gAl8f0lMqKvBuRL3X0U2RLRH5HMsALA4+bgF8mg4hDgbcD3xBJ2u8Mg2mpWwQsBnqAm0TkTBE5GhimqkuDzDhgFHAxcB4wH2vgcgXsXcBfMaXwPOBrwHXAROB/RGTngvybgSXAzZgF7BKRduUmVNJfYpX5fuBXmDL6GxHZRURGYY3UtlgD/GtgPFA2hbwV1hCU/W1V8txA8wZgJLA9cCSUVpgdYe3I8fQOfr45fJ4UK1cJr8E6tInh/zzWsbwFGA58pEPY9WjInsBpwOuxBqtK9gQaMjs2fIHNMevyxERuO2AOcFbBh48BL+0YJ5FjEblg7dfyBul0rGH/SUGB3BNaGsP9sPSdCBwV4rg9lt5erIOKPJs6SoNZkPYFtkhcXwdsCRxMazpPpuq9VoczDJH3IbJZ149uWEVvcvjr5Fb2bPqJiAwD+jr5WVJHBZvpeCemAETeHT7fk1ha/gurTx9OrLZHYm3gS4BokX8F9q4n0Xkg+RmsffxSB7nTgaHACaFdGYh39gXgf4FPJ25TQjhpXp6A9SfbAYcHt5djeQ6hLRBhUpAdiuUnIgwB3hbk3pn42R8+XyhCzMueTNi1EGEczbw+PbgJ8Mbg9voOXhyH9Y2X0JBRFXIvwvqrIUAny09s898SleEuOBh4PjZQsbjbgPI1WD6l7dBnsHw/C7ouF6/HyvQk4Ogu49gNJ4fP6VjaqtgBKOocObYEDgTGJG7/gfXNBwJ7Bbfjw+cwaLXkFhk0pU5VV2EFaiGwB9YA/QK4R0SeG2TuxBqL24GlwD/D47lEnYRVzNXACOAMVX09pvFKCCPll6p6HHAQ8AiWubkpxr2xgrkIsyDOxUa/I7HKNjT8zQcuAj6mqs/ERiO5dF+rqlLxd21Jlg00aR5WVdZDkv/LTfA2pbNv+DaU6rKV+jm0VApeQLOwd91IlnBM8v/epVJmefo01rGlndWUwifYiL0HeAeNFsvclIJcGTvQrLxVnBQ+98UaFlOCTMFMw0nTGC3QqdKVyk5Ov1c0ppMzzx6R/D+14H+ddOeYgimuAzLl/iQqejkFbkrGLUeuDE3MuJWFU2QPYNfw/8tgrRXq4ODWA2go0/GdjaCp0ByZ+BUHB+nU3OiygEUYSbPDObxMLpCWwapBXz1McYmK1UnJL7mymrbtccBwYOK2MnwegnWc0LSk7oL1D2BGBkSYgA3uI8sKYa5Le3UA1q+kcdw2/AGs6fD8ieFzc2xgV0ba/kqZkAijsTYYrAx0Cr/Iy5P/twmfhyVuU0M4I2CtZbJSYSnh4OT/0vQMAAcl/3fKi7ptYK4teEnyf+z/0pmPRVUeDsrahoiq/p+I/ArLrBcCb8Je9EeBV4jI6zBzZ5FchbldVVeLyBJgAmYCh2YGjCnKhzisEpEZWKbmrGTTw+c4WkdpADuq6mIROQ2zylwMICKzsAp2bdGzML36tqJ7wtdU9e6K39cfG9k/N3GZXyFdV24vWhW0hRWy6RTTggq5fZP/q8LuhrRyVPm5B83GNDV35yph2ilOxpT+KFOnYk+lVSlqx6wq6cAkdiJRGZiU/JZL434ZtxjH0YiMpmkhz9FmXSr4mb7HKVQPFKqIytxUzDL+VGUyNtNQdJuUkc09S0G2zS3MEkyq4WeqnMT2bk+ag7DFqqymwc40FTmoLhvPy7jl2IemIvJ4qVRDptLs2Dv5WZfnEZQsmkoZ5PM3146l05Sx/D6vg1t8dneaCsRyVZZXhF2XXBz3zri1Ywp7Wg6WBPeh2HTyo8CH6Fet7ae1N1FHWKzKqgrZHLlylXOrV4ZyWF9WNz3rTkPGAemAvVM43bYFU4AZYSlEOsCfLzZrsWvqVuXhoCl1YSHpvqr6B+AK4AoReRT4MqZAQXMK53zMDHw08GPy2vgTHb4X2S2Jx/bBbVZGbmb4fBDYXlVXhOdGYcojwAWqeq6IbI6NWr+CKabXZvyL069lXAQ8uUqdjeTGAqswi1pVIYkm5IU15ZYAT9Cv+fxvyGjMGrASe0dVftYuyF3wzJp+lil/rY22rTdK10HOA8DKx1jqW24mITIE1bIRYNqJpHGKDcfkEB8hn8Y0L1MFLFXW7quIY6tSZwudU4W1qCh2PX0amFr4fMoRNjjklLpJwAQR2UxVV7Y/2SKXfpa59WL1s46lLhLfwy4Zt+LGpIVhWra1szJFILqtpnPHXwwnx66F7wNRn1OlbF7yf0tZDVOjkwHF6lAs/zsDK7A2qyrfcm4xf+6k2V9BsT52R2xDNYljDGc+1QPg6TT7ozSeR2PTeWBrqC8J4TwR/Kt6D2m6q8Jux9qhtLzl2qFUQS661WUylu7F2Lutfl7kCOBAVD/YZTjxPTyCLa+qo9R1sxQjlpvtaNXL5mP6yRDgH5jyW/kuBtNSNwL4vYjcjk2RLqU5bXRl+JwTPo/A1k28bADDf4WI/BSbXpuCKW1XZ+RuAP6M7cq9XkT+hFkTDsKmjL8LzBGRa4MfcQdONuPD9Oo6mYhF5Lu0dpZfFJHFwHtU9dEuvIpK7H/Q2oCUyV6GrVt4A4CepwI2tRX/D3IrsYbgtPiwnqfSIteQZ4Sf/huzpi5N5VL/MWXpTsyMf0oX6SPGL/2uhzAee3dXYovS5+WeC8R4rqaiw6DZcC3GrMHzSuTa49NM52Ss0vZhI+ocsTH8GbAP/Ta4yIQzCWvkfgX8m2bjsyNWvj+CleVceqqUumJnFdeMxrWOFo4pPJNY97al1vRVW7nasIzB2q9iHFPF7EHVUE9ENP5fkJu8Dm45dsHK39dh7dquHbBB2/7AW4NbHHy8DDiRfn2CE9Z2ImeHzwVYmzgC+CS20H0ElNbRqIh8A1p3lhaI5eWlWDtfZcmvS6wTP6Z9SUH6GeN1CqFDDlOLk7FNJBclMjtgGwPeQXOqcHtgNjZz8I7gti1mFX0OrVO/be9MVSVTBnJsj/U3R9Fs77YDHg6/FTfmpEQF7FJMAYn1Pl3bOj1sktgG+Cq2rORA6Nim70ZzfWZdJmJT7N/H+s+0HboOW093cBJ3xYwhlSciZPqTOJvzlhDG/Kxck72x8l+q1JXkRSwfx2L5u6BDOJOAcYiMQHVFiZ9RDtrb1Vdh0+QLaA7S30TnQdagKnXLMavcIVgmj8IsZedgOx4BPoFl4P7Yy/gfrPEZCM7BRjd7Ymvl3qSqy4pCqrpGRF6JNXBHYIsl52CV5y9B7Eqswh+Bjfp+jSktA81Jhe9xof/HKVcGckzD8v9H2NqAlkY7qTASZN9Lv86jId/q4Odv6NfZNOTzFXLxuJrvY6b24rR4UfYs+vVuGvKVGunqRFwX8wlsU01VJ7QTZjHdm9YGbRLW0MXKGDvKg7F1SKkFbQ3dr6t4tKQB2AZr3F9P6zTLJEwxjvGJafwYtgZ167BTqw/4Gv36ZxpybyY9k6G0QYtyy2hO926BjfbPDs/HdVdjsXal0vJYEU7Mi64tdSVKRxsVynVdJmGNba+IDNFmGqP7RGyAV/X8QtLNNq3PlrqVdCJbA9+kXz+Q7BLfHPi9KjeIrN39ujlwA/16GQ25JXEDa4sfxSwBsV58i369v8Omp62Ba1Q5TcQ66ZJ3uwW2LOFK4MZoyV9P5Xxb4Fr69bU0JF2/NRFTcmO+bY4pDT/H2r1hNMvXZarcLsK9iew5qtwksnbmZhpwsSqzRdbuQJ0K/FGVJSLN3a/k32NdpgHfVuUhEc5J3K5UZZlI20aslK1D2k7ClIA4UE/bikexei7AheHd/qLCz1iGZojwsS7TEjdUfQGzMG0Rjj6aDLydfr2ehsTlFVthZejdIraGr6J9yMVxFfCT8Fm1QQSsfex8jFc704BZ9OsfaMj1mHKVxwa2E2m2l53aguU0y8s0rOz+ClN+l2Jl7THgr2ojhKp16IOn1KnqaqpHHqjqg7QvnPxq8vtMClYvVe0pfD+4xPvHVPXtJeEW/ZxLYn3KyB9f9ttAUmOkV5dpwN30r50iKiugPdi6nH8B0K9VCzSnYZUX+rVqXcRU4EH6NY7Ui1NYhimUU4Fbgp9zYL075GmYInI9/bqa5tq3HFsA36FfH6ch6UaJScC9NJWoLYDb6NcbaMi/6NdVidx91GvcJ2MWviqLzObA7+jX5TTkysR9InZMRNooLAdupV/XADPC8TVgO72hXx8upGdmjXhOAmbQTPc04J6kTKxI5B4K8Z3Auk2nLGWANsZ00Tl0w0TgAcyq0APMC+texgC30jkv4zubVHCbUXg2uj0jmnrafGoOvK4BoF//GH6ZRqg7qmtnPKZhsyLQrw8mbvOB+1RRYDEN9sOsUA8E2SpL/jTgqhDOtR3kbg1ruroZgFaxOXbiANggOzKJ1vydBsxUXbtea6XI2sHDHQCqLA/rmXoJ9USVucnzPwpu0RI/BbOEo9qynq9YH7thKlZ+UF1bb6YCfwpuSyqe3Ry4iX59lIZcR79qODpqakjjCizf45rVfwPQr1V+pmWoalajLD4rgX+Gdz6bhmyB9dexHZqTyP42hPOHLsOZCsxI+rKqdcFg7fXEaEHrMhxbp9/f8bkJWH7PJVjtK2SL/ck04B+qPIEpcoSyek+s/6olS5sCg334sDM4TMA63k5EBbmO7ATMklTHzzr+jcEUyqoK0S19wJykAahiGk1lNlU8J2IWvLQSxgYytfROCnJ9bWfapTSnK++itZMvMpm4vrO/pXOPylZUgmxk2N9iIYtTctEO/t0AAB3zSURBVLl8j+nppETF9MQ49pB/N5MwBXUe1ekpI240Gajdzk8GE7H0zaeZxj7M+vYYndNdVDqi2920K3r3YNazsh2oY7ElGcWp856MWy/t76wPmBEUuvTZhwrlrIxYdjtRt953w2QIFrbWuBaV5gm0b7qZAMxVZVnBDfJ5mXv+gUycioOfWogwDHuXdcOJB9TGcpFrH+JU3huwnckPBP+W0WEHZSCX7rr0YmWoTjsUy/66ULcvi2xe+OwmnDr9G1j5m0/ngTo00x7lcvV2HM2laB1xpe7pyXjqFZJxmGWrziitGz/rylFTNku0zOh5KuH/8dSpmGb9KFNaJmKdWByJlzUq0QKmwa9cfMCU16FBtqoBGF8SToxPH7ZbchztaRwHLKRfl7e42nEoPVijUse6lMqV5eUkTLFZq9x0eazIZGwd5VNDqWvISBryERpyYnI2YB9NxbWvwq2MPqLC39ltDmbNLvMz3jZRLBu5epZ7Z+Owxd+dni2jrFwWyZXL9aWqTqRltSyNRYthbHPmZtxzzz+WCTv3HusQj0/JhV10Q4R3YCc4XC/CGPL5u3WI4/X060P06x3Ed1tPYc+luy5l7dBS2mdnxrHuCn9XCg+mzC2i+yOTuglnIpbvddqCSVh716ms1n4PTzulTlVPDufBfXyw4zKIjKHeQuUxwKLCaGsg/KyzbT02ci1+pgrROkynjaXedOBorG6UKS2pRaVMmU0rdpXCFOUe6yCX64Ti8/di0xrjsTQWlfCx5N9NL7YGdE6HsKG9syrzM1qxOqW7jNjIrYuVrxZdlqFPAWcA36N5xls6Ep9Y4VZGH2ZJKipwM4CecBBxXT+jIlIs12Npr2e5dzaO9o1SdetyfL7OoC8Xn3XHduiOIaPw0K7U5dqc0bRbq8YCK1XXLiWIBw+Prvk85N9tG5mBTmzviuGMKYYTziD8RPj6DGxgOZ72vLCBZasCV7f97Va2yFjKylW7QjmOdd8N3ZY/pdigdyq21rhbpa5+ON21BcXp+lw9GQ2VU+8tPO2UOgewac06U5DDaso9GX4OA9aEtW8DxWY0135VEac0chWp2GGMqpCro9zE6cpO03YjgOUZ97hjNi68z6VxeMatmzhG2XuAMeF2iU5+dlJSy5iErV150pS62tgGkzcnLjG966vU5dZdTcSmXdbQnKaq46e97/aB1zDa1xfl3tnwErm6Z5JtRr0Op6y8tFHTshtPASirE2n+DgeKm+CGZdxyeREV7Jx728Y6mu92fJf3v0bZOuEchFnY/4nV+4fJtw89tB/T1W2bnktj3WfrtkN1y1CObtLTG2Tvo/vp127Cqdeu2rKcXtrLaq4M1A17cA8fdgaNZiFpyJbAKvo1Z94dRmzc7fDFrejX22v4uRs2Qsw1CMWwhX7NnQ+Yyg0H+pKFtetKNwolbbK2GH4srQvay/yciO2q7sZSt32F3DCqlaj5WGeWi0+al7Y+q19jvOpYEwl+zwr+TAx+xgNOx2EK+BKa05AjCIpZl5sVoqVug0+/Zo7AOQh73+/FlPe41qUPmw5ZQPv06wLaz2RrhmEK8RjMutqXbIDow95F9HNuwc8yy09Z+RtG+waotBz0AEtAm3U8LzcJGE6/tk2PhSuscs/nGEosv3YQ8SL6Kw+77kSso611wtaoRqVuvC0x0LK8KC44H5qRi+th6zxPCPv+8Fsv9afNhgFrCmsbo3sx7Odi5WcvYAdV1tDIloNxtFt90nc7GWtX7yBPLj/qkoYzAjMgFd3G0q+PUb8MlYUTy9V2WF+W60/ArHNzsHfS7e76Yv82v7DhLKWP5mCsymIbN1TMptn+lpXBVQAisi+wWFX/SQkdLXXhEnsN97JGt7OC23c7Pb+xISLnici/RGSxiDwmIpeKyDM7PHNt8dJmEflHQWZbEflR8HO5iNwlIseG36aLyE9CXi8Xkdkicq7I2rsZEZFPicjNIrIw/F0nIi8oxqUmacH5JHb+TSe5fbAz0ur4eRXl5w2lcu+kfAd02pjtRtgVtp6kSup7K45oaXYYdmH4d8L3Xmw9yCOYxWozWhuVjyVHSkQry3w6W+rqWHjSuP+GhsRbOWIDkip1Ue5jNOR/aW00j8AOIM09W8VEysKx867+qyBXZz1JK2bZmICtEYwWwcFkd+B2+vWL9OsZmKIAVg6K+Za69RY9SkjL0GY0rcK5jiAXTpH0fe8RjlsAq2c5613s+P+KXUuVk0vr6Gk0p/qKxP6j00HvMezo5y+ouFKsZO0pNGRvGvI6GjKBZh1dRUPG0ZB/hAFLXKM6i+Z61iG0pzHnVpYX1HlemgplJ0U8l8ZcfMriuTNwqSqrVMMmrdZycAENOZq8ZSx9ty/HzoYrI5cfdUnbh/dgd7GnbocBl4eBwRDqlaGyOMb0vBe7VrSMqVi9m0P3St1axQq7X/eVFbKxDHRqV/toHgDdGwYknerjm7F7mUtxS107/4E1eD/Ezh07AthdRHZU1ZypPyWtIGtHtiIyCTvNe0vsIMZbsTOW4nlQ07FC8lvsgNjjMUWrD7ukGex8sseBn2LX1rwQuFREdg1Hv3TDE9Q7ALmbijbQfq5rY1LXzyGU3zsb06FYp3sids9v7HgXBb/6gmz09xCa19PVrdh1p0A1/IGVm3geUzGc4kg/xi/3blKlrmqaIFooUwWjzM+J2DEII2ieVVWXPkzhmY81oM0zniwOqytu3FhvMuc0fp54BAikuwpzynBdBbkPmK+qy0RkBWatW0prA9+Nn+n7Hk5zrdBq2t9P7p2tpn1w320drVPv1++9NeQo4JchrF/RPLNTsfg/M/xm+aj6BCILw/d4c07Kqky8c3kWO9Pc80W3sVib8jj1Bkqd/CtznwpcX3BL24ctaJ4XGQec78DeQf4IqTy5spElY+X+aEasrAzEmz7WhW76qCmYBXwurbeR1A2nbhz7sP6/UrGnWb8XYHV3LOX1sfZSuQFR6oJF6VysUxuLJeg3qvrmsK7gUuymhT5svvg64HRVfSA8/wLsxojtsQMih2MnYX9FVd8VZF6BnV6/K5YRPwU+qiX3VYrI/6M8Q/+mqrk7ZQGer6p/Cn5Mx8zcW2ILUm+syocY1wzvDH5coKonZ36/C9hJVe8L4V4HfIfWy4/7k3iNxdZRjMPu0vt5VbwyPEG9d/8EzbUeAyVbV241Az/oqOtnbMiLSp8pUKprEIkHjJb5WU9hak6BdpJ7oi0+TctAGs5q2vO3Uxw7HZbaCyxDdUXNdM/DjuF4dub3KsxqqaqIxCNRHkRkDLZu8DTsBpcNRdnBoWm+7Zi4zaB+Q04iuxBrtB+nfUp3PtV+tpcLYwX1ysGKjFut9kEVFWFlSfhF1rc+nwH8DTtkdjXNznworR17Ln/Tw7EjufzJuUXLZh3ZPmBBOLC+UzkoshIYIsIQ1RblJxdObjNU7p2lit62Qea2jH9l5MKuS+59t7mFMrQ+4XTTR0VL3Vy6t9R1E04fdhxWpzY9ltVl2Pvvo369LWWgOs3/xixKf8EOFtwWM+2DNVabY/e7LsZuhzgKm3o4XER6gIsxM/m1mDZ9aOq5iLwUG6U9Gj6fgU339GEWlByn0HoRe8oFQFapi4pTIC7GXUONLdciEhuTG4EPqGocTb04fG4hIg9jL+0y4F2q+qiqzi54FcNduzagEC+h+eLL1g9UsZrmBcoDIfdk+GlyzWMkKql5KHE3YZOR7QO2QOQ74bfeIJubJuzDrhR6NnYlWRl92GDmCKo7gVzcx2Gd2rexmy9uLZErS3cfVk/PAEYjshn5O0v7gKGI/DjENaa7zM/XY9Ng3W7EsgZQ5HiszsUG8VCsc3oFG1apG0Fz3eBrgYfp12ux9H8OUxTSKdn/xNq4TtOv24VrBXvC9wVY+q4GnkVzerwX+BbNq+1ylL2HlRn3nOyKErlOJ/NXhZOjGz9bsbVfewA70a93B7fo10ha15L1AlMRuQQbFPRiaSzWrZWZ+LTlhSprRFhVdA+yxed7gTHh3e5MdTkoEqdJR9K6UD6Xv7k1aGX1vqjMdtOm58pGloyV+z0l8cn5t4J8G1qHbspVaqnrVqnrJt/6sBm/FTTPes3Ri50leCHWp8eyuj71ccCUuqhg/BVTlv5F2DWjqitE5BhMkZuGjRT2Ag4W22J8JJbwGcCLwjUYN9N6UXS8b+8mwnUZhDv3ROT0nLVOVaevT4KCNey74euXVNsXCicswhri2ZjS+iLgChF5hqo+THMn3wuxad0DgBOwEdfRqUcisgvwaaxTe18mXsNCvDYDfqKqf1uH5MXpnjpy42oqViZbT258R6nmrquxlVKBmtcNLaNeHOM0+1hap7fixeAnJ9+Xt8XRdjVNAE4NLjMqwurD1ra8fO2z+RPDc3GPncYxyff7M3Jl76YXGyA9I/me24zSi5W3Vyff4/U1Odm43q/Ssp2hDztb6/+S72AK79nAWxEZjuq6LqrultRi8jKs7boWS2Oc5owWk16aVruqDQC92Ls4KPm+AFOA17qFej4eW2oR5XIsA0aEzUQpK8iXg2LdW1kiV6eelIWToxs/i2yHbaxID6iNSlBxM0AfVh9fnnzPxTHnthIYKcJw1RalqUw2Vx83o/Xd1iVNz9KCezGcZbTeAR7dcnEsXsNYt/2Nz9dqfzPk3ndZ2Lm87CacugraFOw6zz3pfiPWEurnWy82yIZqY1AfFvfXJd9X0J7nS+niJIE6Sl3sXNNCFLXqWPjOwpSwt2JTjU8APxaRE4HnY1fYFE30I7AXGe9huyO5Bud2WpW66eHzJeEvIpjloGVTAqzX9GtcA3cptsvoPOD9ZbKBV8S4h+uC7sSshIdgStxc7C7Rb6vq6SLyXGwq4QgRGRauTENE9gnh9gKnqOolaSAiMhqbfngZdr/siR3iVcZimhdxd5IbTr0Kl961OFBy1JStS3nYIt/GKvyzuHDt9vqJtJ4NVyxPfZhCXzx+ozg662SCLz6bO9R0UcafYqcRzf5FOTu8tiFFy1kuPWVKXVFuMU1lsMzPbt9dUT5+Pwxbc/pKbLnB77v0d11ZTqEhTxbDR/oKnwCjRWSE5q8hyuV58Uy4PtrLUFlbVlZPVmTccuW/rlwZuedzdONnkZHEdNoF7mfTr/vSkOhnOtNRLKvR+lEMO72/ORLfV7EerCiRrVMf65Jes9cp7Nxh1Ln2YVEmTt2+23U9WigXzmKgJ5wxWAxnXctGN+mZjM2c2LKQ8pmJHEu6CCfXPuTIlZcVtCucdftroN70SJxe2B8gXCa7b3CLI6d5qno41vnvgZ2f048pdMdiCt3l2KghPgumlMUKuWPiXjwSYGb4fEc4OFjCPag7qGqbQhc4BVMwc3+HlTyDiGyLbWp4LvBZVf3P9M5FEZkgIruG9XZR0So78yZaXIo7N6M1aXmUEZGXYMrvOOBYVb2gEK8+bFfpy7CDUI8u6TTq8Dh2iXIdObqQHUi5eNDjuly+XB120fIoMh6zJA8D9g+XjS/JxDPXYSzKyBUrctWIvShb1nDkwsnFJ5e/i7C0TcnIV32vkltE8d2Y5b2nINcN7Xlh9Ww74Ivh9xez4XiU9iUcI2kd4PYUPovuRXJydd1ylNWTZZjVsyhbLBtLgW1qyJWxNBNOjm78LPI40BuUATveqNzPXFnN5cVSYFI4yDcSDRjF/MilMZdvdd9ZjpVYX5ALJ/ced8y4FcvAwsyzj2OKVdGClyOXb3XJvZtFWN9X3EC1NCNbl7r9CbS3f91Y67oJJy2DIxApmzotltUe8nneTdi1lLrzwue7RORv2D2Xe2Ev6Ifhtw+IyA3AN4G30bSsLaQ56tgX+Crta9kuwaYfdhKRq0TkcuwogZSvhc/Pi8gPReTbIvJ3wiXAOVR1eqoAFv5OrkjvnzCt+H5gVDi+5SwRidMgx2CWxIvC9ynAvSJymYh8A9uVtG1I99VB5svYvPgpYhahqLB9L0w3PzPkw1hsyuqQJNzYgF2MKdZx4fQXw++lRwNUMBfYOTNiKjIPm34sPXer4GfZMSZFua1pSLVZv19XYems42dd5mJKc7FReRWmUH+fpvVzDu2WqFyHMScTx7rKEtRXAB+pGc5cYDINSZXDeFbWusazLJxiGZpA6w6x8ZX33raTy4tDsIHl7cANwMFd+Le+3Au8oDC12ZYXwXq3PnlZ1y3HEqwjKJbVBwntqMjaNTq5OvoQsI2I3XsaZB/BLLvFTjDHQ0k4VeuicuW3LndjytzBNfzM5dtDwA7xntSQxjgt9qzgNgprb5YTLDlJvj2UuI3KuMV1a93U+xbC+XQPdwgnut0JHCnCZiLsHI4FeYT2MjAHq6PpICTeOlGnTX+Q9ryoy1xMEU+nRsvaobplqCycHTPLD3IUlbhulLp6/ZusvWIypZu24CHgWSIMEWGoCJuFsHeRmm1pR6VOVX+JLXy+ESsIE7BFuy9K1pndiCktR2OXB8/BrGq3YgrZRdh064HYerHU/wWYleQfmNIyF9uyDsEkraqXYcrULZil6lXYepeqM3bWldjhb0OrdS831QQ2VfY9TBE8CZsjvwh4sao+GuJ/J7Z28HbMgjkK+Ax2rg5Y4YoV74BCuHH6J47CerE1hvH3/dYhjXbOWrC+lmK3OTxGhWWz4OdB4ayoTnJCPYvLnJph1yUOMIp+vhZr3I8Cjg93oj6MlbWUPuBMbHHrD7B38TCwOw1JR1K92Dq6nbFd3J0Wzh+PHckwu0J2DqZgpMpwL2ZV3g44ndY1cWkaF2D1s5juPmx94I7YerGqxudnIZwzknBGY9b4VO4JYBeaFvlurBV92MBwV2yDQB/WZjSwneXvBfbbgOfX3YQN2n5M8wiEuJ5wK8yaPwzLhx6s7m6FDWbL8rIHszpuhe1wj1a5Xwe399HcQDEjuB1FWT7aMSsP0/5uZwMHi9AHvDu4zQEOKJShOFNyjAgvDGmKnW+dujcLUzBGAmW7/wl+7lHo5OvRr4uxPuenWP2LPIydd5cOJHqxkxS2DZ+9WBqHAq8U4TCsrsd0v0qEHYBjgmI1O7iNo3nm2WzgqKBwvDNxO0CEadg5bDHsBvbOPk33lurZ2HsYiS1lim6HizCW5lmQN2GGk9uwgc4E4uCyIdsU/BuBtWMxj7p5t7OBg0SYSLMM1SXXDi3GlOaXFGRnAS8PSmtVGcoRz3s8sIbsJGzQvn+IXzdK3RxslqeTMjwaG4DshbWX6Q0xRXqx9jSe+hHL6kRs/f0JWPvzSPC3ur8O1NoooaoXYjs0yn6/GLMk5X5bRHMhd+Q7he+3qWoYEcgQbPoWbEQS/bmIpnXsSSNM61b9/l2SHXghfWWH96bPXYHtAM79di0dzsBZ340fBWaGzx9hlf6sDrKnAp0OOp6JdcJ/o/pevRj2uZgC8KMOssdhSsJAMCuEeSZm0r4GO47nYEz5Woq924OwDvX12ML4SC/wF1RnIPIAZiaP967+CWskvkG8EUD1rnCgbi8iQ9rOWGtaeG4MfsZbBHLci1kZ/07TEt4DzEF1JiJ3Bb/irQdfwyw4l9Cva2jIfVjDPJPWxf23o3oPIo9Q3fg8GMKZAbyU5nv8Idaonh3kFqJ6J80rknrJrxEsC+d6VO8I4TyXibyFT/J6GvJzvsfj/JwXcNE6H1TaLTdh1oq0/erBjq2YLSLp8oShwJ2q+ljYBV+l1N0Qnp+NNejzgYeD233h2R7gseA2DpggIkM1v4lmJjZY3Ctxm41Z/u/HOpbPBLkx2EazeEZm3D1/HmaVP47mbu2vYJbAy0vSEp+PF8ffj+0KzjETy6Pfs25Tbe/E1hvvgyl30c+XYgObSA9wK6r3hzq6L00F7gKsrh6hylIRFgAfCH5/JMjMxjZZPETzsPXZWBl4DOuTPhvcNsOsyCNEOCOE/VB4Z/fT3DBRlzScq7FDvR/ElJGHg/ungT9gg7S4ziq2Q9A8QeICmmdm/gh7t1+lX5fSkLkhvQ/SXF5VFp8xWJuiWBnKYzeUQEP2xxTNB8IzX8GUuSvpV6UhMzGjxJE014POwsrEo+H/sjKUY2b4/D5Wvr6ZlbL2yE7YUJ2FyEMkSl2NTXaxXb0Ma6MvLZGLg69/oroqHAFV1a7OQPVerC2ISh1YndsMW84Ww/4x1l9/qSKeT5m7X88P06r/DxuR7YoVuKobDJx1515MudmSzgth78aU/8pbNbCz9sDM9VXl6jHMkjGFzvfv3YU1wsXp+HZEdtPz+RUih5TK2JTuvVjFsxHtMMazB1/lQnq5kB724UtYRxavQ0vXrvTQegZWD6w90X1rmlvRi3JCfrNJPJIkylYpA3GAswvNwVhvW3zsqq5ZWMOzZeH5EUQFuTlNUExPjpzcTKxj2YJmGWrK2Q7VpWv9jNPBrVNBRdIzxiwvzuaN9HAc8AmG8k2O5x/ogN4HTIjXKBpyqh7CF2jIh2nI2LC2Mh6iugbrANM8Xxzc4xqYuOGhKi/T5xfStMoV87foBuW77+6keQBvJCprY4BxIgyjWYaeQfPEgsdonlVnHZ9d7xfLUKc1VQ+Ez2itLCO2DzvR6XiGOKXfkN3i0SVyDXfINeww9BpEruH4IBmVlnQWJZeXD2HvaTiWzhjPmEejMm5jStxi/YznF47G6nD8rU59KiOGMzoJpy0+qswFPhjc7wwyMS+2I+547dcFmEIwgtZjMu4OYRTX5ZXFZwwwVoThIuwiwjtFOC78jaIhLwBu1UP4LKaUbku/LseU/F5ay9BdmLKSWrzqlqEcD2DrETenfc1cSlyOEgeYc+luE0jcPzCd6l2wvcCSZIf+AsySmiPXrsY8H4nV6V6sz1Ksre24WeOpotTdiFmCPoyNPn4MHBSmZp2Bpl9XYqb7OtwwoHI2XTSwftp03IXYlOj5iFSZ1VvPjLuAHt7HG7HR72zezURU/4KduVikh2YHOz98v4/2HaO9BbnoVqQXq6wLE9kype5G2k9P76FVkRgTRqS5c/GKeTkG6+DSeFZZl6JcVB5XYWdSpqTpNj8nMpWGXA58UQ/hQ5hFtIx2pc7ahZ/Qr7dg0w/PK3l2ffkONsX6BWwqZBmAXMO3dv0rbPlHhsg1/Iwkz8MGqgWY8rxYm8pmJwW5qPzVcYvP5ijeLgC2VCVlPPa+WqzFYcoxlY1h1K2jaRmomm68g+qjXgyb3rpFD+G/aR4/sfY6rTW0nEGZO86pLS9VWY3tCk9loLUNjG65vLi1g1t0z73HNkQYKcJbOF9PEeE1Iraur0Y440UYKm8S5VT5AsfvDCeP3FmV+Zhyk7tn9qqMW92jhoppnIBtfNwHW1Mfj1Z5M/A9+vWDmFEmKu112iEolKGwRrAeNvAqlvUck4Cl6Nr7yB9DmERDXkFD3qCH8DIaUjWF+wj5g8iLpG0l4f8qS12xP3mI1hMXesKGyNK7Xos8JZQ6Vf2Mqm6tqiPC52tVW84kcgaea2vKXVNLyi43/ndHuW78zMmJjEbkPD2fcxH5YLA4fQCrFM/CGuqzaMiIcPEyNGQXGhIXM7c2cv16y5Q/MPHAG7nr0Jv54+5/40Phlz/RVDDitve0Etq6KVNSf534uIrWEfvy8HwvEuIgcnS4JaEPeDyZli2/WsjWFaXTTPFey1TZAmt4cw351YXvsdNI01NlXWrtrCzfi34WlboF7MeemCJ2KnZw+N6UU2zk4prBV9OQPbEjTTpZF6ppiNCQY9benduQQ2isPRPu0fAXrwhEz1O5YynM/vraOzqLjfZCbLlB0a1KqWtVkNvL1djULVxPuLLCz9z7vpvm1JTt3u/XReQVwHR6NSqmdevo9TSViaUiJX2Krc/9XQ3/9sQUz69jdemEDmGnNyvk6kTMs6sKctBafqMikR7yHOvln2kqpNFtFk3rY3w+DbuqDOyCrY97AFvmEduXq5O4xXBuppnGVcBwPU9Fz1dhwl3od5ZbvK0dSpf3RH++kfgV333dd3sPzWldBVDlf4CTOGns5cBVqizEFOYDaci22NreOFuS28iYc/s7SRmie72kTnrGrUH+LcJEESYuYuxshjIc6F+wZML4fz+4S++q1cM+NetrW+XXhFv+XlsjnJxSV6ctWAj0hkFWrgzWqTsASHJah/M0QUT8pTuO4zjORkjV2v+nhKXOcRzHcRzHWT/cUuc4juM4jrMJ4JY6x3Ecx3GcTQBX6hzHcRzHcTYBXKlzHMdxHMfZBHClznEcx3EcZxPAlTrHcRzHcZxNAFfqHMdxHMdxNgFcqXMcx3Ecx9kE+P/WxLF3flhNUgAAAABJRU5ErkJggg==\n", 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "#Run SeqProp Optimization (experiment 'Hardcoded AT')\n", "\n", "print(\"Running optimization experiment 'Hardcoded AT'\")\n", "\n", "#Number of PWMs to generate per objective\n", "n_sequences = 2\n", "#Number of One-hot sequences to sample from the PWM at each grad step\n", "n_samples = 5\n", "#Number of epochs per objective to optimize\n", "n_epochs = 1\n", "#Number of steps (grad updates) per epoch\n", "steps_per_epoch = 5000\n", "\n", "#Define sequence templates for each objectve\n", "sequence_templates = [\n", " 'TTCTTCATGCATGTGATTTTGATCTNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNAATAAANNNNNNNNNNATNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNGTGTCCTGCCCGGTCGGCTTGAGCGCGTGGGTCTCGTTTAGATGCTGCGCCTAACCCTAAGCAGATTCTTCATGCAATTG',\n", " 'TTCTTCATGCATGTGATTTTGATCTNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNAATAAANNNNNNNNNNNNNNNNNNNNATNNNNNNNNNNNNNNNNNNNNNNNNNNNGTGTCCTGCCCGGTCGGCTTGAGCGCGTGGGTCTCGTTTAGATGCTGCGCCTAACCCTAAGCAGATTCTTCATGCAATTG'\n", "]\n", "\n", "#Define list of target cleavage positions (one per objective)\n", "cut_objectives = [\n", " 86,\n", " 96\n", "]\n", "\n", "#Define list of loss functions (one per objective)\n", "losses = [\n", " get_cleavage_loss(\n", " cut_pos,\n", " use_start=25,\n", " use_end=70,\n", " use_target_bits=1.8,\n", " cse_start=70,\n", " cse_end=76,\n", " cse_target_bits=1.9,\n", " dse_start=76,\n", " dse_end=125,\n", " dse_target_bits=1.8,\n", " entropy_weight=1.0,\n", " punish_dn_cse=1.0,\n", " punish_up_c=0.005,\n", " reward_dn_ggcc=0.0,\n", " punish_up_aa=0.001,\n", " punish_dn_aa=0.0\n", " ) for cut_pos in cut_objectives\n", "]\n", "\n", "#Define list of initial sequences (one list per objective)\n", "init_sequences = [\n", " [\n", " 'XXXXXXXXXXXXXXXXXXXXXXXXXTGTGTGTGTGTGTGTGTGTGTGTGTGTGTGTGTGTGTGTGTGTGTXXXXXXTGTGTGTGTGXXTGTGTGTGTGTGTGTGTGTGTGTGTGTGTGTGTGTGTXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX',\n", " 'XXXXXXXXXXXXXXXXXXXXXXXXXTTATTATTATTATTATTATTATTATTATTATTATTATTATTATTAXXXXXXTTATTATTATXXTATTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX'\n", " ],\n", " [\n", " 'XXXXXXXXXXXXXXXXXXXXXXXXXTGTGTGTGTGTGTGTGTGTGTGTGTGTGTGTGTGTGTGTGTGTGTXXXXXXTGTGTGTGTGTGTGTGTGTGXXTGTCTTGTCTTGTCTTGTCTTGTCTTTXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX',\n", " 'XXXXXXXXXXXXXXXXXXXXXXXXXTTATTATTATTATTATTATTATTATTATTATTATTATTATTATTAXXXXXXTTATTATTATTATTATTATTXXTTTTTTTTTTTTTTTTTTTTTTTTTTTXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX'\n", " ]\n", "]\n", "\n", "p_init = 0.4\n", "\n", "hardcoded_at_pwms, hardcoded_at_cuts = run_seqprop(sequence_templates, init_sequences, p_init, cut_objectives, losses, n_sequences, n_samples, n_epochs, steps_per_epoch)\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python [conda env:aparent]", "language": "python", "name": "conda-env-aparent-py" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.6.7" } }, "nbformat": 4, "nbformat_minor": 2 }