--- a +++ b/4-Models/CRNN-pytorch/Y_CRNN.ipynb @@ -0,0 +1,1299 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import torch\n", + "import torch.nn as nn\n", + "from torch.utils.data import TensorDataset\n", + "import torch.optim as optim\n", + "from torch.optim import lr_scheduler\n", + "import numpy as np\n", + "import torchvision\n", + "import torch.nn.functional as F\n", + "from torch.utils.data.sampler import SubsetRandomSampler\n", + "from torch.utils.data import DataLoader\n", + "from torchvision import datasets, models, transforms\n", + "from torchvision.transforms import Resize, ToTensor, Normalize\n", + "import matplotlib.pyplot as plt\n", + "#from imblearn.under_sampling import RandomUnderSampler\n", + "\n", + "from sklearn.metrics import accuracy_score, precision_recall_fscore_support, confusion_matrix, roc_auc_score, \\\n", + " average_precision_score\n", + "from sklearn.model_selection import train_test_split\n", + "import time\n", + "import os\n", + "from pathlib import Path\n", + "from skimage import io\n", + "import copy\n", + "from torch import optim, cuda\n", + "import pandas as pd\n", + "import glob\n", + "from collections import Counter\n", + "# Useful for examining network\n", + "from functools import reduce\n", + "from operator import __add__\n", + "# from torchsummary import summary\n", + "import seaborn as sns\n", + "import warnings\n", + "warnings.filterwarnings('ignore', category=FutureWarning)\n", + "from PIL import Image\n", + "from timeit import default_timer as timer\n", + "import matplotlib.pyplot as plt\n", + "import gc\n", + "from scipy import stats" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "import pickle\n", + "from os import path\n", + "data_filename = \"loaders.data\"\n", + "\n", + "if path.exists(data_filename):\n", + " with open(data_filename, 'rb') as f:\n", + " train_loader, test_loader = pickle.load(f)\n", + "else:\n", + " train_df_available = pd.read_csv('/data/ECGnet/data/train_df_pace_removed_any_patient_negative_available_DEIDENTIFIED.csv')\n", + " eval_df_available = pd.read_csv('/data/ECGnet/data/eval_df_pace_removed_any_patient_negative_available_DEIDENTIFIED.csv')\n", + "\n", + " fpath_train = \"/data/ECGnet/data/amyloid_concat_train_pace_removed_any_patient_negative.npy\"\n", + " fpath_eval = \"/data/ECGnet/data/amyloid_concat_eval_pace_removed_any_patient_negative.npy\"\n", + "\n", + " trainData = np.load(fpath_train) # Load input data. Input data should be compiled as numpy arrays with (sample numbers, time, lead, 1)\n", + " evalData = np.load(fpath_eval)\n", + "\n", + " trainData = np.array(trainData)\n", + " evalData = np.array(evalData)\n", + " print('trainData initial shape:', trainData.shape)\n", + " print('evalData initial shape:', evalData.shape)\n", + "\n", + " y_train = [round(x) for x in train_df_available['ANY_AMYLOID']]\n", + " label_train = np.array(y_train)\n", + "\n", + " y_test = [round(x) for x in eval_df_available['ANY_AMYLOID']]\n", + " label_eval = np.array(y_test)\n", + "\n", + " trainData = np.transpose(trainData, axes=[0, 2, 1, 3])\n", + " evalData = np.transpose(evalData, axes=[0, 2, 1, 3])\n", + " print('trainData norm_prep shape:', trainData.shape)\n", + " assert trainData.shape[1:] == (12, 2500, 1), \"train is not X,12,2500\"\n", + " assert evalData.shape[1:] == (12, 2500, 1), \"eval is not X,12,2500\"\n", + " mean_tr, std_tr = np.mean(trainData, axis=(0,2,3)), np.std(trainData, axis=(0,2,3))\n", + "\n", + " def truncate_data_median(source_array, target_array):\n", + " median = np.median(source_array)\n", + " mad = stats.median_absolute_deviation(source_array)\n", + " datamadlimit = target_array\n", + " #Truncate data to 3*mad to limit outlier effect and use robust statistical approach over mean\n", + " datamadlimit = np.where(datamadlimit > median + (3*mad), median + (3*mad), datamadlimit)\n", + " datamadlimit = np.where(datamadlimit < median - (3*mad), median - (3*mad), datamadlimit)\n", + " # datanorm2 = cv2.normalize(datamadlimit, datamadlimit, -1, 1, cv2.NORM_MINMAX)\n", + " return datamadlimit\n", + "\n", + " evalData = truncate_data_median(trainData, evalData)\n", + " trainData = truncate_data_median(trainData, trainData)\n", + "\n", + " med_tr, mad_tr = np.median(trainData, axis=(0,2,3)), stats.median_absolute_deviation(trainData, axis=(0,2,3))\n", + " print(trainData.shape, med_tr.shape, mad_tr.shape)\n", + " for i in range(trainData.shape[1]):\n", + " trainData[:,i,:,:] = (trainData[:,i,:,:] - med_tr[i]) / mad_tr[i]\n", + " evalData[:,i,:,:] = (evalData[:,i,:,:] - med_tr[i]) / mad_tr[i]\n", + "\n", + " mean_norm, std_norm = np.mean(trainData, axis=(0,2,3)), np.std(trainData, axis=(0,2,3))\n", + " print(\"Mean and STD after normalization\", mean_norm, std_norm)\n", + " med_norm, mad_norm = np.median(trainData, axis=(0,2,3)), stats.median_absolute_deviation(trainData, axis=(0,2,3))\n", + " print(\"Median and MAD after normalization\", mean_norm, std_norm)\n", + "\n", + " trainData = np.transpose(trainData, axes=[0, 3, 2, 1])\n", + " print('trainData shape for model:', trainData.shape)\n", + " evalData = np.transpose(evalData, axes=[0, 3, 2, 1])\n", + " print('evalData shape for model:', evalData.shape)\n", + "\n", + " assert trainData.shape[1:] == (1, 2500, 12), \"train is not X,12,2500\"\n", + " assert evalData.shape[1:] == (1, 2500, 12), \"eval is not X,12,2500\"\n", + "\n", + " # def normalize_array(x):\n", + " # xmax, xmin = x.max(), x.min()\n", + " # return (x - xmin) / (xmax - xmin)\n", + "\n", + " # print(\"eval sum/mean before norm: \", evalData.sum(),evalData.mean())\n", + " # evalData = normalize_array(evalData)\n", + " # print(\"eval sum/mean after norm: \", evalData.sum(),evalData.mean())\n", + "\n", + " # print(\"train sum/mean before norm: \", trainData.sum(), trainData.mean())\n", + " # trainData = normalize_array(trainData)\n", + " # print(\"train sum/mean after norm: \", trainData.sum(), trainData.mean())\n", + "\n", + " # Change the place holder names\n", + " X_train = np.array(trainData)\n", + " X_test = np.array(evalData)\n", + " y_train = label_train\n", + " y_test = label_eval\n", + "\n", + " SHAPE = (-1, 12, 2500) # Shape of the input. ECG model takes 2500 points sampled at 4 micro-seconds/point for 12 lead.\n", + " batch_size = 64\n", + " dlen = X_train.shape[0]\n", + "\n", + " y_test = torch.FloatTensor(y_test)\n", + " X_test = TensorDataset(torch.from_numpy(X_test).reshape(SHAPE), y_test)\n", + " test_loader = DataLoader(X_test, batch_size=batch_size, pin_memory=True, shuffle=True)\n", + " # a,b=next(iter(test_loader))\n", + "\n", + " y_train = torch.FloatTensor(y_train)\n", + " X_train = TensorDataset(torch.from_numpy(X_train).reshape(SHAPE), y_train)\n", + " train_loader = DataLoader(X_train, batch_size=batch_size, pin_memory=True, shuffle=True)\n", + " \n", + " with open(data_filename, 'wb') as f:\n", + " pickle.dump((train_loader, test_loader), f)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "try:\n", + " del model\n", + " gc.collect()\n", + " torch.cuda.empty_cache()\n", + "except:\n", + " pass" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "from CRNN import CRNN\n", + "model = CRNN(hidR = 128 * 2, layerR = 1, hidC = 128 * 2)\n", + "# print(model)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "514561" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sum(p.numel() for p in model.parameters())" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "CRNN(\n", + " (conv1): Sequential(\n", + " (0): Conv2d(1, 256, kernel_size=(5, 12), stride=(1, 1))\n", + " (1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n", + " (2): ReLU()\n", + " (3): Dropout(p=0.5, inplace=False)\n", + " )\n", + " (GRU1): GRU(256, 256)\n", + " (fc1): Sequential(\n", + " (0): Flatten()\n", + " (1): Linear(in_features=256, out_features=256, bias=True)\n", + " (2): BatchNorm1d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n", + " (3): ReLU()\n", + " (4): Dropout(p=0.5, inplace=False)\n", + " (5): Linear(in_features=256, out_features=128, bias=True)\n", + " (6): BatchNorm1d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n", + " (7): ReLU()\n", + " (8): Dropout(p=0.5, inplace=False)\n", + " (9): Linear(in_features=128, out_features=32, bias=True)\n", + " (10): ReLU()\n", + " (11): BatchNorm1d(32, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n", + " (12): Linear(in_features=32, out_features=1, bias=True)\n", + " )\n", + ")" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "device = torch.device(\"cuda:0\" if torch.cuda.is_available() else \"cpu\")\n", + "# print(f'Train on: {device}')\n", + "# send model to device\n", + "model.to(device)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "def update_outputs(output_dict,\n", + " new_outputs,\n", + " outputs_to_update=['scores', 'predictions', 'labels']):\n", + " for x in outputs_to_update:\n", + " if (type(new_outputs[x]) is list):\n", + " output_dict[x] += list(new_outputs[x])\n", + " else:\n", + " output_dict[x].append(new_outputs[x])\n", + " return output_dict\n", + "\n", + "def accuracyFromLogits(output, target):\n", + " scores = torch.sigmoid(output)\n", + " pred = torch.round(scores)\n", + " correct_tensor = pred.eq(target.data.view_as(pred))\n", + " # Need to convert correct tensor from int to float to average\n", + " accuracy = torch.mean(correct_tensor.type(torch.FloatTensor))\n", + " return accuracy, scores, pred" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "def train(model,\n", + " device,\n", + " criterion,\n", + " optimizer,\n", + " train_loader,\n", + " valid_loader,\n", + " save_file_name,\n", + " max_epochs_stop=5,\n", + " n_epochs=40,\n", + " print_every=1):\n", + " \"\"\"Train a PyTorch Model\n", + "\n", + " Params\n", + " --------\n", + " model (PyTorch model): cnn to train\n", + " criterion (PyTorch loss): objective to minimize\n", + " optimizer (PyTorch optimizier): optimizer to compute gradients of model parameters\n", + " train_loader (PyTorch dataloader): training dataloader to iterate through\n", + " valid_loader (PyTorch dataloader): validation dataloader used for early stopping\n", + " save_file_name (str ending in '.pt'): file path to save the model state dict\n", + " max_epochs_stop (int): maximum number of epochs with no improvement in validation loss for early stopping\n", + " n_epochs (int): maximum number of training epochs\n", + " print_every (int): frequency of epochs to print training stats\n", + "\n", + " Returns\n", + " --------\n", + " model (PyTorch model): trained cnn with best weights\n", + " history (DataFrame): history of train and validation loss and accuracy\n", + " \"\"\"\n", + "\n", + " # Early stopping intialization\n", + " epochs_no_improve = 0\n", + " valid_loss_min = np.Inf\n", + "\n", + " # Create empty history\n", + " history = []\n", + "\n", + " # Number of epochs already trained (if using loaded in model weights)\n", + " try:\n", + " print(f'Model has been trained for: {model.epochs} epochs.\\n')\n", + " except:\n", + " model.epochs = 0\n", + " print(f'Starting Training from Scratch on \\n')\n", + "\n", + " overall_start = timer()\n", + "\n", + " # Main loop\n", + " for epoch in range(n_epochs):\n", + " model.train()\n", + " # keep track of training and validation loss each epoch\n", + " train_step_counter = 0\n", + " valid_step_counter = 0\n", + "\n", + " train_loss = 0.0\n", + " valid_loss = 0.0\n", + "\n", + " train_acc = 0\n", + " valid_acc = 0\n", + " running_corrects = 0\n", + "\n", + " # Set to training\n", + " # model.train()\n", + " start = timer()\n", + " \n", + " # Don't need to keep track of gradients\n", + " train_output_dict = {\n", + " \"scores\": [],\n", + " \"predictions\": [],\n", + " \"labels\": []\n", + " }\n", + " \n", + " # Training loop\n", + " for ii, (input, target) in enumerate(train_loader):\n", + "\n", + " # Increment counter\n", + " train_step_counter += 1\n", + "\n", + " # Set inputs dtype. Check input.dtype and target.dtype\n", + " # NOTE: This match the type of input and model weights\n", + " input, target = input.to(torch.float32), target.to(torch.float32)\n", + "\n", + " # Send inputs to device\n", + " input, target = input.to(device), target.to(device)\n", + "\n", + " # Clear gradients\n", + " optimizer.zero_grad()\n", + "\n", + " # Calculate output\n", + " output = model(input)\n", + "\n", + " # Loss and backpropagation of gradients\n", + " # WARNING: Be careful about .squeeze(). In this case, since the output is\n", + " # [BATCHSIZE, 1] the scenario is easy!\n", + " matched_output = output.squeeze()\n", + " assert matched_output.shape == target.shape\n", + " loss = criterion(matched_output, target) # save a copy, plot the \n", + "\n", + " # Backward computation\n", + " loss.backward()\n", + "\n", + " # Update the parameters\n", + " optimizer.step()\n", + "\n", + " # Track train loss by multiplying average loss by number of examples in batch\n", + " train_loss += loss.item()\n", + "\n", + " # Calculate accuracy by finding max log probability\n", + " accuracy, scores, pred = accuracyFromLogits(output, target)\n", + " train_acc += accuracy.item()\n", + " \n", + " train_output_dict = update_outputs(train_output_dict, new_outputs={\n", + " \"predictions\": pred.detach().cpu().numpy().squeeze().tolist(),\n", + " \"scores\": scores.detach().cpu().numpy().squeeze().tolist(),\n", + " \"labels\": target.detach().cpu().numpy().squeeze().tolist()\n", + " })\n", + "\n", + " # Track training progress\n", + " print(\n", + " f'Epoch: {epoch}\\t{100 * (ii + 1) / len(train_loader):.2f}% complete. {timer() - start:.2f} seconds elapsed in epoch.',\n", + " end='\\r')\n", + "\n", + " # Calculate accuracy and loss over the batch\n", + " train_acc = train_acc / train_step_counter\n", + " train_loss = train_loss / train_step_counter\n", + "\n", + "\n", + " # After training loops ends, start validation\n", + " model.epochs += 1\n", + "\n", + " # Don't need to keep track of gradients\n", + " output_dict = {\n", + " \"scores\": [],\n", + " \"predictions\": [],\n", + " \"labels\": []\n", + " }\n", + " with torch.no_grad():\n", + " # Set to evaluation mode\n", + " model.eval()\n", + "\n", + " # Validation loop\n", + " for input, target in valid_loader:\n", + "\n", + " # Increment counter\n", + " valid_step_counter += 1\n", + "\n", + " # Set inputs dtype. Check input.dtype and target.dtype\n", + " # NOTE: This match the type of input and model weights\n", + " input, target = input.to(torch.float32), target.to(torch.float32)\n", + "\n", + " # Send inputs to device\n", + " input, target = input.to(device), target.to(device)\n", + "\n", + " # Calculate output\n", + " output = model(input)\n", + "\n", + " # Loss and backpropagation of gradients\n", + " loss = criterion(output, target) # save copy\n", + "\n", + " # Track train loss by multiplying average loss by number of examples in batch\n", + " valid_loss += loss.item()\n", + "\n", + " # Calculate accuracy by finding max log probability\n", + " accuracy, scores, pred = accuracyFromLogits(output, target)\n", + " valid_acc += accuracy.item()\n", + "\n", + " output_dict = update_outputs(output_dict, new_outputs={\n", + " \"predictions\": pred.detach().cpu().numpy().squeeze().tolist(),\n", + " \"scores\": scores.detach().cpu().numpy().squeeze().tolist(),\n", + " \"labels\": target.detach().cpu().numpy().squeeze().tolist()\n", + " })\n", + "\n", + " # Calculate accuracy and loss over the batch\n", + " valid_acc = valid_acc / valid_step_counter\n", + " valid_loss = valid_loss / valid_step_counter\n", + "\n", + " # Calculate average accuracy\n", + " roc_auc_curve = roc_auc_score(output_dict[\"labels\"], output_dict[\"scores\"])\n", + " train_roc_auc_curve = roc_auc_score(train_output_dict[\"labels\"], train_output_dict[\"scores\"])\n", + " history.append([train_loss, valid_loss, train_acc, valid_acc, train_roc_auc_curve, roc_auc_curve])\n", + "\n", + " # Print training and validation results\n", + " if (epoch + 1) % print_every == 0:\n", + " # print(\"epoch_acc\",epoch_acc)\n", + " print(\"\\n---------------------------------------------------------------------------------------------\"\n", + " f'Epoch {epoch} Results'\n", + " \"---------------------------------------------------------------------------------------------\\n\")\n", + " print(\n", + " f'Training Loss: {train_loss:.4f} \\t Validation Loss: {valid_loss:.4f}'\n", + " )\n", + " print(\n", + " f'Training Accuracy: {100 * train_acc:.2f}%\\t Validation Accuracy: {100 * valid_acc:.2f}%'\n", + " )\n", + "\n", + " precision, recall, f1_score, _ = precision_recall_fscore_support(output_dict[\"labels\"],\n", + " output_dict[\"predictions\"])\n", + " print(f'Training roc_auc_score:{train_roc_auc_curve}')\n", + " print(f'roc_auc_score :{roc_auc_curve}')\n", + "\n", + " for j in range(len(precision)):\n", + " print(f'\\nClass {j} Precision :{precision[j] * 100:.2f} ')\n", + " print(f'Class {j} Recall :{recall[j] * 100:.2f} ')\n", + " print(f'Class {j} f1_score :{f1_score[j] * 100:.2f} ')\n", + "\n", + " # Save the model if validation loss decreases\n", + " if valid_loss < valid_loss_min:\n", + " # Save model\n", + "# torch.save(model.state_dict(), save_file_name)\n", + " # Track improvement\n", + " epochs_no_improve = 0\n", + " valid_loss_min = valid_loss\n", + " valid_best_acc = valid_acc\n", + " best_epoch = epoch\n", + "\n", + " # Otherwise increment count of epochs with no improvement\n", + " else:\n", + " epochs_no_improve += 1\n", + "\n", + "\n", + " # # Attach the optimizer\n", + " # model.optimizer = optimizer\n", + " # Record overall time and print out stats\n", + " total_time = timer() - overall_start\n", + " print(\n", + " f'\\nBest epoch: {best_epoch} with loss: {valid_loss_min:.2f} and acc: {100 * valid_acc:.2f}%'\n", + " )\n", + " print(\n", + " f'{total_time:.2f} total seconds elapsed. {total_time / (epoch):.2f} seconds per epoch.'\n", + " )\n", + " # eval_metrics_dict, b = (get_metrics(eval_outputs_dict))\n", + " # for idx, class_idx in enumerate(eval_metrics_dict):\n", + " # for metric_name in eval_metrics_dict[class_idx]:\n", + " # print(\"Class \", class_idx, \"Evaluation\", metric_name, \":\", eval_metrics_dict[class_idx][metric_name])\n", + "\n", + " print(\"\\n\\n----------------\\n\\n\")\n", + " # Format history\n", + " history = pd.DataFrame(\n", + " history,\n", + " columns=['train_loss', 'valid_loss', 'train_acc', 'valid_acc', 'train_roc', 'roc'])\n", + " print(\"history df shape: \", history.shape)\n", + " return model, history" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "criterion = nn.BCEWithLogitsLoss()\n", + "\n", + "# WARNING: It is necessary as arguments like pos_weight may change the device if not defined on the correct device\n", + "criterion.to(device)\n", + "\n", + "# WARNING: Check optimization parameters\n", + "optimizer_ft = optim.Adam(model.parameters(), weight_decay=0.001)\n", + "# optimizer_ft = optim.Adam(model.parameters(), lr=0.0001, betas=(0.9, 0.999), eps=1e-08, weight_decay=0.01,\n", + "# amsgrad=False)\n", + "# add L2 regularization penalty through weight_decay\n", + "NUM_EPOCHS = 20\n", + "save_file_name = 'ECGnet_torch_2DCNN_train_balanced_synthetic.pt'\n", + "checkpoint_path = 'ECGnet_torch_2DCNN_train_balanced_synthetic.pth'" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Starting Training from Scratch on \n", + "\n", + "Epoch: 0\t100.00% complete. 13.96 seconds elapsed in epoch.\n", + "---------------------------------------------------------------------------------------------Epoch 0 Results---------------------------------------------------------------------------------------------\n", + "\n", + "Training Loss: 0.6735 \t Validation Loss: 0.6357\n", + "Training Accuracy: 57.50%\t Validation Accuracy: 68.45%\n", + "Training roc_auc_score:0.554234126870758\n", + "roc_auc_score :0.5588750559117339\n", + "\n", + "Class 0 Precision :77.19 \n", + "Class 0 Recall :82.44 \n", + "Class 0 f1_score :79.73 \n", + "\n", + "Class 1 Precision :31.11 \n", + "Class 1 Recall :24.56 \n", + "Class 1 f1_score :27.45 \n", + "Epoch: 1\t100.00% complete. 13.93 seconds elapsed in epoch.\n", + "---------------------------------------------------------------------------------------------Epoch 1 Results---------------------------------------------------------------------------------------------\n", + "\n", + "Training Loss: 0.6071 \t Validation Loss: 0.5951\n", + "Training Accuracy: 69.16%\t Validation Accuracy: 73.49%\n", + "Training roc_auc_score:0.5904208210724795\n", + "roc_auc_score :0.5682868644699567\n", + "\n", + "Class 0 Precision :75.53 \n", + "Class 0 Recall :96.18 \n", + "Class 0 f1_score :84.61 \n", + "\n", + "Class 1 Precision :22.86 \n", + "Class 1 Recall :3.51 \n", + "Class 1 f1_score :6.08 \n", + "Epoch: 2\t100.00% complete. 13.98 seconds elapsed in epoch.\n", + "---------------------------------------------------------------------------------------------Epoch 2 Results---------------------------------------------------------------------------------------------\n", + "\n", + "Training Loss: 0.5561 \t Validation Loss: 0.5506\n", + "Training Accuracy: 75.49%\t Validation Accuracy: 75.44%\n", + "Training roc_auc_score:0.6092778053426325\n", + "roc_auc_score :0.5866631877143282\n", + "\n", + "Class 0 Precision :75.62 \n", + "Class 0 Recall :99.29 \n", + "Class 0 f1_score :85.85 \n", + "\n", + "Class 1 Precision :28.57 \n", + "Class 1 Recall :0.88 \n", + "Class 1 f1_score :1.70 \n", + "Epoch: 3\t100.00% complete. 13.90 seconds elapsed in epoch.\n", + "---------------------------------------------------------------------------------------------Epoch 3 Results---------------------------------------------------------------------------------------------\n", + "\n", + "Training Loss: 0.5220 \t Validation Loss: 0.5668\n", + "Training Accuracy: 77.20%\t Validation Accuracy: 74.42%\n", + "Training roc_auc_score:0.6387589518566047\n", + "roc_auc_score :0.5580550171462652\n", + "\n", + "Class 0 Precision :75.43 \n", + "Class 0 Recall :98.30 \n", + "Class 0 f1_score :85.36 \n", + "\n", + "Class 1 Precision :14.29 \n", + "Class 1 Recall :0.88 \n", + "Class 1 f1_score :1.65 \n", + "Epoch: 4\t100.00% complete. 13.87 seconds elapsed in epoch.\n", + "---------------------------------------------------------------------------------------------Epoch 4 Results---------------------------------------------------------------------------------------------\n", + "\n", + "Training Loss: 0.4970 \t Validation Loss: 0.5376\n", + "Training Accuracy: 77.33%\t Validation Accuracy: 73.07%\n", + "Training roc_auc_score:0.6812162456046041\n", + "roc_auc_score :0.6485388400178917\n", + "\n", + "Class 0 Precision :75.59 \n", + "Class 0 Recall :95.18 \n", + "Class 0 f1_score :84.26 \n", + "\n", + "Class 1 Precision :24.44 \n", + "Class 1 Recall :4.82 \n", + "Class 1 f1_score :8.06 \n", + "Epoch: 5\t100.00% complete. 13.84 seconds elapsed in epoch.\n", + "---------------------------------------------------------------------------------------------Epoch 5 Results---------------------------------------------------------------------------------------------\n", + "\n", + "Training Loss: 0.4825 \t Validation Loss: 0.5459\n", + "Training Accuracy: 77.45%\t Validation Accuracy: 75.47%\n", + "Training roc_auc_score:0.7118212024975118\n", + "roc_auc_score :0.6534280105362557\n", + "\n", + "Class 0 Precision :75.98 \n", + "Class 0 Recall :98.58 \n", + "Class 0 f1_score :85.82 \n", + "\n", + "Class 1 Precision :44.44 \n", + "Class 1 Recall :3.51 \n", + "Class 1 f1_score :6.50 \n", + "Epoch: 6\t100.00% complete. 13.88 seconds elapsed in epoch.\n", + "---------------------------------------------------------------------------------------------Epoch 6 Results---------------------------------------------------------------------------------------------\n", + "\n", + "Training Loss: 0.4223 \t Validation Loss: 0.5448\n", + "Training Accuracy: 80.56%\t Validation Accuracy: 73.52%\n", + "Training roc_auc_score:0.8078674889091138\n", + "roc_auc_score :0.6840800656031012\n", + "\n", + "Class 0 Precision :79.04 \n", + "Class 0 Recall :88.67 \n", + "Class 0 f1_score :83.58 \n", + "\n", + "Class 1 Precision :43.66 \n", + "Class 1 Recall :27.19 \n", + "Class 1 f1_score :33.51 \n", + "Epoch: 7\t100.00% complete. 13.90 seconds elapsed in epoch.\n", + "---------------------------------------------------------------------------------------------Epoch 7 Results---------------------------------------------------------------------------------------------\n", + "\n", + "Training Loss: 0.4054 \t Validation Loss: 0.5181\n", + "Training Accuracy: 81.02%\t Validation Accuracy: 72.63%\n", + "Training roc_auc_score:0.8261995910554605\n", + "roc_auc_score :0.7728554743800009\n", + "\n", + "Class 0 Precision :86.72 \n", + "Class 0 Recall :74.93 \n", + "Class 0 f1_score :80.40 \n", + "\n", + "Class 1 Precision :45.37 \n", + "Class 1 Recall :64.47 \n", + "Class 1 f1_score :53.26 \n", + "Epoch: 8\t100.00% complete. 13.91 seconds elapsed in epoch.\n", + "---------------------------------------------------------------------------------------------Epoch 8 Results---------------------------------------------------------------------------------------------\n", + "\n", + "Training Loss: 0.3788 \t Validation Loss: 0.4619\n", + "Training Accuracy: 83.02%\t Validation Accuracy: 78.32%\n", + "Training roc_auc_score:0.853364172283775\n", + "roc_auc_score :0.7920021370707221\n", + "\n", + "Class 0 Precision :79.79 \n", + "Class 0 Recall :95.61 \n", + "Class 0 f1_score :86.98 \n", + "\n", + "Class 1 Precision :64.77 \n", + "Class 1 Recall :25.00 \n", + "Class 1 f1_score :36.08 \n", + "Epoch: 9\t100.00% complete. 13.89 seconds elapsed in epoch.\n", + "---------------------------------------------------------------------------------------------Epoch 9 Results---------------------------------------------------------------------------------------------\n", + "\n", + "Training Loss: 0.3579 \t Validation Loss: 0.4713\n", + "Training Accuracy: 84.07%\t Validation Accuracy: 78.32%\n", + "Training roc_auc_score:0.8693957427555772\n", + "roc_auc_score :0.7854915262660902\n", + "\n", + "Class 0 Precision :80.81 \n", + "Class 0 Recall :93.63 \n", + "Class 0 f1_score :86.75 \n", + "\n", + "Class 1 Precision :61.21 \n", + "Class 1 Recall :31.14 \n", + "Class 1 f1_score :41.28 \n", + "Epoch: 10\t100.00% complete. 13.90 seconds elapsed in epoch.\n", + "---------------------------------------------------------------------------------------------Epoch 10 Results---------------------------------------------------------------------------------------------\n", + "\n", + "Training Loss: 0.3383 \t Validation Loss: 0.4535\n", + "Training Accuracy: 85.27%\t Validation Accuracy: 78.88%\n", + "Training roc_auc_score:0.8853628872627245\n", + "roc_auc_score :0.8077878833059987\n", + "\n", + "Class 0 Precision :84.79 \n", + "Class 0 Recall :87.68 \n", + "Class 0 f1_score :86.21 \n", + "\n", + "Class 1 Precision :57.35 \n", + "Class 1 Recall :51.32 \n", + "Class 1 f1_score :54.17 \n", + "Epoch: 11\t100.00% complete. 13.90 seconds elapsed in epoch.\n", + "---------------------------------------------------------------------------------------------Epoch 11 Results---------------------------------------------------------------------------------------------\n", + "\n", + "Training Loss: 0.3108 \t Validation Loss: 0.5528\n", + "Training Accuracy: 87.09%\t Validation Accuracy: 75.96%\n", + "Training roc_auc_score:0.9049319096264051\n", + "roc_auc_score :0.7579518910590926\n", + "\n", + "Class 0 Precision :78.12 \n", + "Class 0 Recall :94.05 \n", + "Class 0 f1_score :85.35 \n", + "\n", + "Class 1 Precision :50.00 \n", + "Class 1 Recall :18.42 \n", + "Class 1 f1_score :26.92 \n", + "Epoch: 12\t100.00% complete. 13.82 seconds elapsed in epoch.\n", + "---------------------------------------------------------------------------------------------Epoch 12 Results---------------------------------------------------------------------------------------------\n", + "\n", + "Training Loss: 0.2930 \t Validation Loss: 0.4939\n", + "Training Accuracy: 87.14%\t Validation Accuracy: 77.49%\n", + "Training roc_auc_score:0.9210452515148847\n", + "roc_auc_score :0.7999478157149247\n", + "\n", + "Class 0 Precision :82.16 \n", + "Class 0 Recall :89.38 \n", + "Class 0 f1_score :85.62 \n", + "\n", + "Class 1 Precision :54.82 \n", + "Class 1 Recall :39.91 \n", + "Class 1 f1_score :46.19 \n", + "Epoch: 13\t100.00% complete. 13.88 seconds elapsed in epoch.\n", + "---------------------------------------------------------------------------------------------Epoch 13 Results---------------------------------------------------------------------------------------------\n", + "\n", + "Training Loss: 0.2769 \t Validation Loss: 0.5497\n", + "Training Accuracy: 87.76%\t Validation Accuracy: 77.48%\n", + "Training roc_auc_score:0.9285930010663809\n", + "roc_auc_score :0.8320846379404603\n", + "\n", + "Class 0 Precision :79.31 \n", + "Class 0 Recall :95.04 \n", + "Class 0 f1_score :86.47 \n", + "\n", + "Class 1 Precision :60.23 \n", + "Class 1 Recall :23.25 \n", + "Class 1 f1_score :33.54 \n", + "Epoch: 14\t100.00% complete. 13.98 seconds elapsed in epoch.\n", + "---------------------------------------------------------------------------------------------Epoch 14 Results---------------------------------------------------------------------------------------------\n", + "\n", + "Training Loss: 0.2608 \t Validation Loss: 0.5607\n", + "Training Accuracy: 88.76%\t Validation Accuracy: 79.78%\n", + "Training roc_auc_score:0.9381571958555155\n", + "roc_auc_score :0.8069740569554197\n", + "\n", + "Class 0 Precision :81.82 \n", + "Class 0 Recall :94.33 \n", + "Class 0 f1_score :87.63 \n", + "\n", + "Class 1 Precision :66.67 \n", + "Class 1 Recall :35.09 \n", + "Class 1 f1_score :45.98 \n", + "Epoch: 15\t100.00% complete. 13.96 seconds elapsed in epoch.\n", + "---------------------------------------------------------------------------------------------Epoch 15 Results---------------------------------------------------------------------------------------------\n", + "\n", + "Training Loss: 0.2335 \t Validation Loss: 0.4982\n", + "Training Accuracy: 90.09%\t Validation Accuracy: 80.61%\n", + "Training roc_auc_score:0.9506791546147357\n", + "roc_auc_score :0.8200760399582525\n", + "\n", + "Class 0 Precision :84.93 \n", + "Class 0 Recall :90.23 \n", + "Class 0 f1_score :87.50 \n", + "\n", + "Class 1 Precision :62.50 \n", + "Class 1 Recall :50.44 \n", + "Class 1 f1_score :55.83 \n", + "Epoch: 16\t100.00% complete. 13.96 seconds elapsed in epoch.\n", + "---------------------------------------------------------------------------------------------Epoch 16 Results---------------------------------------------------------------------------------------------\n", + "\n", + "Training Loss: 0.2302 \t Validation Loss: 0.7339\n", + "Training Accuracy: 90.26%\t Validation Accuracy: 77.59%\n", + "Training roc_auc_score:0.9521492909937165\n", + "roc_auc_score :0.7721658963272202\n", + "\n", + "Class 0 Precision :78.55 \n", + "Class 0 Recall :96.46 \n", + "Class 0 f1_score :86.59 \n", + "\n", + "Class 1 Precision :62.69 \n", + "Class 1 Recall :18.42 \n", + "Class 1 f1_score :28.47 \n", + "Epoch: 17\t100.00% complete. 13.90 seconds elapsed in epoch.\n", + "---------------------------------------------------------------------------------------------Epoch 17 Results---------------------------------------------------------------------------------------------\n", + "\n", + "Training Loss: 0.2044 \t Validation Loss: 0.5444\n", + "Training Accuracy: 91.60%\t Validation Accuracy: 77.76%\n", + "Training roc_auc_score:0.9618907300657028\n", + "roc_auc_score :0.8078624322846778\n", + "\n", + "Class 0 Precision :80.74 \n", + "Class 0 Recall :92.63 \n", + "Class 0 f1_score :86.28 \n", + "\n", + "Class 1 Precision :58.06 \n", + "Class 1 Recall :31.58 \n", + "Class 1 f1_score :40.91 \n", + "Epoch: 18\t100.00% complete. 13.84 seconds elapsed in epoch.\n", + "---------------------------------------------------------------------------------------------Epoch 18 Results---------------------------------------------------------------------------------------------\n", + "\n", + "Training Loss: 0.1942 \t Validation Loss: 0.6454\n", + "Training Accuracy: 91.66%\t Validation Accuracy: 79.98%\n", + "Training roc_auc_score:0.9666938169148184\n", + "roc_auc_score :0.8221385617017047\n", + "\n", + "Class 0 Precision :81.48 \n", + "Class 0 Recall :95.33 \n", + "Class 0 f1_score :87.86 \n", + "\n", + "Class 1 Precision :69.44 \n", + "Class 1 Recall :32.89 \n", + "Class 1 f1_score :44.64 \n", + "Epoch: 19\t100.00% complete. 13.89 seconds elapsed in epoch.\n", + "---------------------------------------------------------------------------------------------Epoch 19 Results---------------------------------------------------------------------------------------------\n", + "\n", + "Training Loss: 0.2025 \t Validation Loss: 0.5131\n", + "Training Accuracy: 92.14%\t Validation Accuracy: 80.61%\n", + "Training roc_auc_score:0.9628396283234032\n", + "roc_auc_score :0.8408565677650215\n", + "\n", + "Class 0 Precision :82.91 \n", + "Class 0 Recall :93.48 \n", + "Class 0 f1_score :87.88 \n", + "\n", + "Class 1 Precision :66.67 \n", + "Class 1 Recall :40.35 \n", + "Class 1 f1_score :50.27 \n", + "\n", + "Best epoch: 10 with loss: 0.45 and acc: 80.61%\n", + "300.60 total seconds elapsed. 15.82 seconds per epoch.\n", + "\n", + "\n", + "----------------\n", + "\n", + "\n", + "history df shape: (20, 6)\n" + ] + } + ], + "source": [ + "model, history = train(\n", + " model,\n", + " device,\n", + " criterion,\n", + " optimizer_ft,\n", + " train_loader,\n", + " test_loader,\n", + " save_file_name=save_file_name,\n", + " max_epochs_stop=4,\n", + " n_epochs=NUM_EPOCHS,\n", + " print_every=1)" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "def plot(history):\n", + " \n", + " # The history object contains results on the training and test\n", + " # sets for each epoch\n", + " acc = history['train_acc']\n", + " val_acc = history['valid_acc']\n", + " loss = history['train_loss']\n", + " val_loss = history['valid_loss']\n", + "\n", + " # Get the number of epochs\n", + " epochs = range(len(acc))\n", + " \n", + " plt.style.use('seaborn') \n", + " \n", + " plt.title('Training and validation accuracy')\n", + " plt.plot(epochs, acc, color='blue', label='Train')\n", + " plt.plot(epochs, val_acc, color='orange', label='Val')\n", + " plt.xlabel('Epoch')\n", + " plt.ylabel('Accuracy')\n", + " plt.legend()\n", + "\n", + " _ = plt.figure()\n", + " plt.title('Training and validation loss')\n", + " plt.plot(epochs, loss, color='blue', label='Train')\n", + " plt.plot(epochs, val_loss, color='orange', label='Val')\n", + " plt.xlabel('Epoch')\n", + " plt.ylabel('Loss')\n", + " plt.legend()\n", + " \n", + " _ = plt.figure()\n", + " plt.title('Training and validation ROC AUC')\n", + " plt.plot(epochs, history['train_roc'], color='blue', label='Train')\n", + " plt.plot(epochs, history['roc'], color='orange', label='Val')\n", + " plt.xlabel('Epoch')\n", + " plt.ylabel('Loss')\n", + " plt.legend()" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "<Figure size 576x396 with 1 Axes>" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "<Figure size 576x396 with 1 Axes>" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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+XOH4cQ3Hj2s4cEDDTz+VfBMVk0mlRg1vqHv/FA/66tVVDAZf9/yskAvxisxisRAWFkZ4eDiZmZls2/YDbdu2C3RZQghRoeXkwA8/6Pj9dw2HDytFoZ2Zee6JwiaTSoMGUKeOsyisr7hC5corPcTHl24UraqQmalw4oTCsWMaTpz4O+CVosA/dKjk+FQUlbZt3SxfbvXLiF1C3I8aNbqKevXqcd99d1K9eg2aNWsR6JKEEKJCOnRIYfVqHWvW6Ni6VYvbfTYRNRqV2rVVWrRw/RXS3rC+8krvSDgpKZKMDNslt60okJiokpio0rKlp8RtCguLj+D/GfhVq6qoKn4JcUVVVdX3zZSfjIz8ct2fdzq9fPdZEYRiv0KxTxCa/ZI+BY+K0i+XC7Zt0xYF96FD3lG2oqi0auWhe3cXTZq4ufJKlTp1PBecsq4ofSoviYmR531ORuJCCCECIicHvvnGG9rr1unIzfUOXcPCVHr3dtKzp4tu3dwkJgbVWNOvJMSFEEL4zeHDZ6fJt2w5O01eo4aH227zBvf117sxmQJcaJCQEBdCCOEzLhds3/73NLmWgwe9Z33/PU3eo4eL7t1dNG3qqVCXbgULCXEhhBDlKjcX1q/XsXq1d5o8J+fsNHmvXmenyatUkWnyyyUhLoQQlZyqgtUKFotCYaH3b4sFCguV837t7L/P/u3dVuHYMQWXyxvc1at7uOUWb3C3by/T5OVNQlwIISqZ48cVFi7Us3SpjrQ0sFgiUNXLm8vWaFTCwyE8XKVFCw/durno0cPF1VfLNLkvSYiXg5EjhzBw4APFFm5ZtOgTjh49yrhxT5X4mu7dO/L119/5q0QhRCVnt8NXX+lYsEDPhg1aVFUhLEylUSMwGt2EhXkDODzcO+0dHq6W+LWz/6bYNkajf66LFsVJiJeDbt16sm7dmmIhvnbtGkaMGB3AqoQQAvbv1/DJJ3o+/1xHVpb32utrrnFz770O+vVzUa9eJBkZ1gBXKS6VhHg5uPHGrrz//ts4HA4MBgOnTp0kMzODBg0aMnr0MPLz83C5XDz88DA6duwc6HKFECEuLw+WLNGzcKGe3bu9Z4MnJHgYPtzBPfc4adiw5FXIRPAJuRAP/+1ZjOnLSv8CrUKc+8JnSNqTbsHScOp5n4+OjqFx46Zs3bqZjh07s3btGrp27YHBYOSll/6P8PAIcnJyGDp0EB06dEKROSchRDlTVfjhBy0LFuhZtUqH1aqg0aj06OHi7rud9Ojh4h/3VhIhIuRCPFC6devJ2rVr6NixM+vWrWHChIkAvPvuv/npp90oioaMjAyyss4QH58Q4GqFEKEiLU3hs8/0fPKJnj/+8E6X16vn4Z57HNx5p5OqVeUyrlAWciFuaTj1gqPm/5WYGElWOayx27FjZ956azoHDvyK3W6jUaOr+OKLleTk5PCf/3yMTqejf/++Jd56VAghysLphK+/1vHJJ3rWrtXi8SiYzSoDBji5914n7dq55SSzSiLkQjxQwsLCSE5uzcsvT6Zbt54AFBQUEBsbi06nY9euHaSlnQpwlUKIYPb77xoWLNCzaJGu6DacLVu6ueceJ7fd5iQqKsAFCr8792as4pJ169aTgwd/KwrxHj168euvvzB48EDWrPmSOnXqBrZAIUTQOXxY4d139aSkhNG+fTizZxtwuxWGDHGwfr2FNWsKGTRIAryykpF4OerU6Ua+/35H0eOYmBjefXdeidvKNeJCiJI4HLB1q5avv9bx9dfFb8nZubOLe+91ctNNLozGABcqKgQJcSGECLCMDIV167zB/e23OvLzi6813qOHm27dXCQlyUlqojgJcSGE8DNVhZ9/1hSNtnft0hQte1qnjoe77nLSrZv3lpwy4hYXIiEuhBB+YLHAd995R9tr1+o4dco7Ta7Vqlx/vfuvtcbd1K8va42L0pMQF0IIH/nzT4W1a72j7U2btNjt3nSOi/MwYICT7t1d3Hiji+joABcqgpaEuBBClBOLBXbu1PLtt94R94ED2qLnmjZ10727i+7dXbRq5UGrvcCOhCglCXEhhLhE6ekK27Zp2bZNy9atWvbu1eB2e0fbZrN3ydPu3V106+aiRg05KU2UPwlxIYQoBY8HDhzQFAX21q1a/vzz7FIber1Kq1Yerr3WTfv2Ltq3d2M2B7BgUSlIiAshRAlsNvjpJ29Yb9umZccOyMoKL3o+Jkale3cXbdu6ufZaNy1bujGZAliwqJQkxIUQAsjKgu3bz06N//ijFofj7Gni9epB167OotBu2NCDRta8FAEmIS6EqJTsdli1Ssfmzd7Q/u23s2eaaTQqzZp5p8b/Du1mzSLIyLAFsGIhziUhLoSoVOx2+OQTPTNnGjhxwjuUDg9XueEG79R427ZuWrVyExER4EKFKAUJcSFEpWCzwYIFet56y8DJkxrMZpWhQx0MGOCkSRMPOvlpKIKQfNsKIULa3+E9c6aBU6e84T1smIMRIxxUqSKXfYngJiEuhAhJVit8/LF35J2WpiEsTGX4cAfDh0t4i9AhIS6ECClWK8yf7w3v9HRveI8caWfYMCeJiRLeIrRIiAshQoLVCh995A3v06e94f3oo97wTkiQ8BahSUJcCBHUCgvhww/1zJplICNDQ3i4yujRdh55xEl8vIS3CG0S4kKIoGSxnA3vzExveI8ZY+eRRxzExQW6OiH8Q0JcCBFULBaYN0/P7Nne8I6IUBk71s7QoRLeovKREBdCBIWCApg3z8Dbb+vJzNQQGany2GPe8I6NDXR1QgSGhLgQokJzubzT5q+9ZuDMGQ1RUSqPP+4N75iYQFcnRGD5dPn+jRs30rNnT7p3786cOXPOef7EiRPcf//99O3bl4EDB5KWlubLcoQQQWb7dg09eoQxYYIJh0Nh/Hg7O3cW8OSTEuBCgA9D3O12M3nyZN5//31SU1NZtWoVBw8eLLbNK6+8wi233MLKlSsZPnw4r7/+uq/KEUIEkcxMhTFjjKSkhPPzz1ruusvJli0Wxo93EB0d6OqEqDh8FuJ79uyhTp061KpVC4PBQEpKCuvWrSu2zaFDh2jXrh0A11133TnPCyEqF7cbPvhAz/XXh/PJJwaaNHGzYkUhM2faZKEWIUrgs2Pi6enpVK1atehxUlISe/bsKbbNVVddxerVq7n//vv5+uuvsVgsZGdnE3uBs1RiY8PQ6bTnff5SJCZGluv+KopQ7Fco9glCs19l7dP27TB8OOzYAZGR8OabMGKEFp0uzEcVll0ofk4Qmv0KxT6VxGchrqrn/tasKEqxx0888QRTpkxh6dKltGnThqSkJHQXuZVQdnZhudaZmBhJRkZ+ue6zIgjFfoVinyA0+1WWPmVlwUsvGZk/X4+qKtx+u5NJk+wkJalkZ/u40DIIxc8JQrNfodanC/1C4rMQr1q1arET1dLT06lSpUqxbZKSkpg1axYAFouFNWvWEBlZOX57EqKy83hg4UI9U6YYyMrS0KiRm2nT7LRv7w50aUIEDZ8dE2/WrBlHjhzh2LFjOBwOUlNT6dKlS7FtsrKy8Hg8AMyZM4fbb7/dV+UIISqQvXs1pKSEMXasCZtN4fnnbXzzTaEEuBBl5LORuE6nY+LEiTz00EO43W5uv/12GjRowIwZM7j66qvp2rUr27Zt44033kBRFNq0acPzzz/vq3KEEBVAbi5Mm2Zk3jw9Ho/CzTc7eeEFO9Wry0lrQlwKRS3p4HUFVt7HOULt2MnfQrFfodgnCM1+/W+fVBUWLdLxwgtGMjM11K/v5uWX7XTqFDwj71D8nCA0+xVqfQrIMXEhhADYv1/Dk08a2bpVh9ms8swz3puUGI2BrkyI4CchLoTwifx8ePVVI++/r8ftVujd28nUqXZq1gyqyT8hKjQJcSFEuVJVWLgQxo4NJz1dQ926Hl5+2UrXrsEzdS5EsJAQF0KUC1WFTZu0vPqqgS1bwGRSePJJOyNGODCZAl2dEKFJQlwIcVlUFTZs0PL66wa2bvX+SOnXD557zkKdOjJ1LoQvSYgLIS6JqsI332h57TUjO3d6l0Lu2dPFY4/Z6dEjnIwMCXAhfE1CXAhRJqoKa9Zoef11Iz/+6A3v3r2dPP64g2bNPAGuTojKRUJcCFEqHg98+aWON94wsHevFkVR6dfPydixDpo2lfAWIhAkxIUQF+TxQGqqjtdfN7B/vze8b7vNyZgxDq66SsJbiECSEBdClMjthhUrvCPvAwe0aDQq/ft7R94NGkh4C1ERSIgLIYpxuWDpUh3Tpxs4eFCLVqty111Oxoyxc8UVcrKaEBWJhLgQAgCnE/77Xx3Tpxv54w8NOp3Kvfc6GD3aQd26Et5CVEQS4kJUcg4HLFqk5803DRw9qkGvV7nvPgejRjmoXVvCW4iKTEJciErKboeFC/XMnGng+HENBoPKgw86ePRRBzVqSHgLEQwkxIWoZGw2WLBAz1tvGTh5UoPJpDJkiIMRIxxUqybhLUQwkRAXopKwWr3hPXOmgbQ0DWazytChDkaOdJCUJOEtRDCSEBcixBUWwvz53pH36dMawsJURoxwMGyYgypVJLyFCGYS4kKEKIsFPvxQz7//bSAjQ0N4uMqoUXYeecRJQoKEtxChQEJciBBTUADz5hl4+209mZkaIiJUxo61M3Sog7i4QFcnhChPEuJChIiCApg71xveZ85oiIxUeewxb3jHxga6OiGEL0iICxHk8vPh/fcNvPOOgexsheholfHj7QwZ4iA6OtDVCSF8SUJciCCVmwvvvWfg3XcN5OYqxMSoPPWUnYcechAVFejqhBD+ICEuRJDJyYF33zXw3nsG8vIU4uI8PPOMgwcfdBAZGejqhBD+JCEuRJDIyoI5c7zhnZ+vEB/v4bnnHDzwgIOIiEBXJ4QIBAlxISo4VYW5c/VMnWrEYlFISPDw+ON27r/fSXh4oKsTQgSShLgQFZjTCU89ZWT+fAPx8R6efNLOffc5CQsLdGVCiIpAQlyICio7GwYPNvP99zquvtrNxx9bqV5dFmkRQpylCXQBQohzHTyo0KtXON9/r6N3bycrVxZKgAshziEhLkQFs2GDll69wjl8WMPo0XbmzrXJsW8hRIlkOl2ICuSDD/RMmGBEq4VZs6zccYcr0CUJISowCXEhKgCXC55/3sh77xlISPAwb56Ntm3dgS5LCFHBSYgLEWC5uXDvvWbWr9dx1VXeE9hq15bj30KIi5Nj4kIE0B9/KLRrB+vX6+jWzUVqaqEEuBBBTH9mHcaTn/itPRmJCxEgP/yg5YEHTGRlwdChDiZNsqPVBroqIcSl0Fp+J/y3CRgz1+DRxWCvdhcovh8nS4gLEQALF+oYN86EqsKcOXDLLfZAlySEuASKM4eww69gPvYuiurCEdeJgkav+CXAQUJcCL9yu2HKFCOzZxuIiVGZO9fKrbeGkZER6MqEEGWiujGd+Ijwg5PROM/gNteloOFLOBJTQFH8VoaEuBB+UlAAw4eb+OorPVde6WHBgkKuuEKOfwsRbPRZ3xNx4El0BXtRteEU1J+EtfZw0Jr8XouEuBB+cOyYwsCBZvbv13LDDS7ef99KTEygqxJClIXG+ifhv0/ElL4UAFv1e7HUfx6PsWrAapIQF8LHtm/XcP/9ZjIzNTzwgIOpU+3o9YGuSviE6iHs8DQUVx6W+hNBK3eqCQluC2F/vEHYn2+heGw4o6+hoNGruKJbB7oyCXEhfOnzz3WMHWvC6YSXX7YxeLAz0CUJX1E9RPwyBvOJDwAwZG0gr/l83OH1A1qWuAyqijFtEeG/P4/WfhK3sRqWBpOxV73Dr8e9L0RCXAgf8Hjg1VcNvPGGkchIlY8+snLjjbICW8hSPUTsH4X55Ec4I1vgimqF+cQ8YrZ1Jr/puziqpAS6QlFGutydRBx4En3uNlSNEUu98RTWHQu6iECXVoyEuBDlrLAQHn3UxMqVeurU8bBggZWGDT2BLkv4iuohYv9IzCc/xhnZktzWy1D1cThjriPylzFE/3Q3hXXHYrnyOdDIj9yKTmNPI/zgC5hOLgDAlnQrlgaT8ZjrBLiyksl3lBDlaMsWLU89ZWT/fi3t2rmYO9dGfLycgR6yVDeR+0ZgOvUJzqhkclstQ9XHAmCvfjeuyBqd0MMAACAASURBVGZE/fQvwo5MR5e7k7xmc1GNVQJctCiR24b56GzC/ngNjbsAV0QzChq9gjOuQ6AruyBZdlWIcnDkiMKDD5ro1y+M/fu13Hefg8WLrRLgoUx1E7lv2F8B3orcVsuLAvxv7siryWm7AXtiHwzZG4nd2hFdzpYAFSxKpKoYTq8i7odriTg4CTRG8hvPIPu6jRU+wEFG4kJclrw8eOMNI++/r8fhUGjTxs2UKTZat5bp85Cmuon8eSimtEU4o9uQm7wUVR9d8qb6aPJaLMD85wzCf59EzI7eWBpOxVprWIU5Oaqy0ubvI+K3CRiyvkVVdBTWHkHhFU+i6oPn+k8JcSEugcsF8+frefVVA2fOaKhVy8Nzz9m4+WaX/FwOdR4XkfuGYkpbjDP6GnKTl5w3wIsoCta6Y3BFtSZq7yAiDjyFLmcb+U1mVbgTpUKeqqLPWo/56GyMmWsAsCf0wNLwZdzhDQJcXNlJiAtRRt98o2XSJCO//qolPFzlmWfsDBniwGwOdGXC5zwuIn9+GFP6f3FGtyW31X9RdVGlfrkzriPZbb8nau/9mNKXoCvYR17zj3FHNPJh0edSnLkY0z7DmLYErnoYIm/3a/sB4bZhSluE+ehsdAX7AXDGXEdhvXE4EnoEuLhLJyEuRCkdOKBh0iQj69bp0GhUBg508OSTDqpUkePelYLHSeTPD2FKX4Iz5jpyk/+Lqoss+25M1chpnUr4788RdnQ2sds6k9/k39ir3uaDoovT5e7CdHwuprTPUTyF3i9u24m27dV+/0XCXxR7OuZj72E+PheNMxNV0WGr2h9r7eG4otsEurzLJiEuxEWcOaPw6qsGPvpIj9ut0LGji8mT7TRtKse9Kw2PEzY9iCl9CY6Y68lLXnxJAV5Eo8fSaBqu6GuJ2D+SqL2DKMzdiqXBVNCU83J+rgJMaZ9jOj4Xff6PALhNtbHVHIRHn0jkL48SuW8oOdesDalL4LT5ewj7czbGtM9RVAceXQyFdR/DWuthPKYagS6v3ITOJyZEObPb4T//0fPGG0by8hSuvNLDpElWevRwy3HvysTjJGrvA3B6BY6Y9uQmLy6349j2qrfhimhK1J5/EXb0bfR5u8lr9gEeU/XL3rc2fy/m43MxnlqExp2PigZ7Ygq2mg/giO8Kivfm9ZHWreiPfEzYn29SWG/cZbcbUKoHQ8ZX8NM7xJ3+FgBXWH2stYdjq343aMMDW58PSIgL8T9UFb74QscLLxg5ckRDTIzKiy/aGDTIKWueVzYeB1F7H8B4eiVU6Uzu1QvLPQjcEY3IvnY9kftHYkpfQuzWjuQ1m4cz7oZL2FkhxvSlmI/PRZ+73fslY3UsdUZiq3FfySPQNjNxn1pH2KGXsSfchDvy6svsUQC4CjCdXID56NvorIcBcMTdiLX2cBwJ3f12b+9AkBAX4h/27NEwcaKRzZt16HQqQ4Y4ePxxO7GxF3+tCDEeB1F77seYkYoj9gYMnVdBto8OoegiyG82D1dMW8J/e4bonf2wNJiEtc7oUl2Gpi341Xus+9SnaFw5qCjY47tjqznYe9LWhabJDbEUNHmL6N39ifp5KNlt14PGUI6d8x2N9RjmY+9iOvEhGlcuqsaItfp9mFuOI9dZN9Dl+YWEuBBAWprCSy8Z+ewzHaqqcNNNTiZOtFO/vpy0Vil57ET9dB/GzC9xxHUmt+WnJOrCgXzftakoWGsPwxnViqg99xHx+0T0OdvIb/p2yZewuW0YTy/HdHwehpzN3rINVbDUG4etxv1lWibUkdDDG34nPyLs8KsU1n+2vHrlE7qcrd5LxE6vQFHd3n5f8TTWWoNRDYmYYyIhw4efVQUiIS4qtcJCmD3bwKxZBgoLFZo0cTN5sp0bbpCblVRaHjtRP/0LY+ZqHHE3ktvyU9D67/pBV0xbsq/7nqg9D2DMWIV2637yWnxcNM2ttRzEdOIDTCc/RuPMAv6aOq75II7E3pd8Ypyl0UsYstYTduR1HIm9cUW3Kq8ulQ+PE+PpFZiP/ht97g4AXBHNKKwzHHvV/qAxBrjAwJAQF5XWkSMKt94axokTGhITPUydaufuu51otYGuLHgpzhzCDk+DMw0gfnCgyyk7t42oPf/CmLkGR3wXclss9GuA/001JJLbahnhh6YSduQNYrd1pbDuGPQ5P2DI+hYAjz6ewjqjsdYchCfsystvUxdFfpN/E7OrH5H7HiG77UbQmi57v+VBl7OVqL0PoLUd9x4qSOyNtfZwnLEdK/2qdxLiotKaO9fAiRMaHnrIwdNP24mQhbMui/7Mt0TuH47WdhyOgr51Q5xxHQNdVum5bUT/dA+GM2txxHcjt8UngQ0xjQ5Lg0k4o68hct9Qwg+/DIAjtgO2Gg9gT+pX7qNPZ3xnrLUexnzsPcIPv4SlweRy3f+l0BbsJ3r3ABR3AdZaQ7DWekTu0f4PEuKiUvJ4YOVKHVFRKs8/b8dYOWfiyoe7kPDfJxF27B1URYu1xoOYT35AxP5HyW63GbRhga7w4txWon+6G8OZb7An9CCv+ccVZhTqqJJCdsRGjOnLcCSm+HxRloIGkzFkrsV8ZAb2xBRcMW192t6FaKxHid51KxpXDnlXz8Fe7a6A1VJR+fS8+40bN9KzZ0+6d+/OnDlzznn+5MmTDBw4kFtuuYW+ffuyYcMGX5YjRJEdOzScOKGhd2+XBPhl0OXuJHZLR8KOvYMrvCE516yloMmb0GgsOuthwg+9FOgSL85dSPSPd/0V4D3Ja7GgwgT43zxhV2Ct95h/VlXThpPX9B0AIvc9Au5C37dZAsVxhuhdt6K1n6Kg4UsS4OfhsxB3u91MnjyZ999/n9TUVFatWsXBgweLbfP222/Tq1cvli1bxvTp03nhhRd8VY4QxaxY4T355+abnQGuJEh5nIQdepGY7d3QFf5OYe3hZLf9Dld0a+/zzSfjNtfD/OcsdLk7A1vrhfwd4FnrsSf0Iq/Fx5X2BKl/csW2w1p7BLrCQ4T/Psn/BbgtRO/u7/3eqjsGa52R/q8hSPgsxPfs2UOdOnWoVasWBoOBlJQU1q1bV2wbRVEoKCgAID8/nypVqviqHCGKeDywYoWOmBiVjh3lLPSy0hYcIGZbN8IPv4LHWI2c1iuxNJpW/AQwXRj5Td5CwUPk/pHgcQSu4PNx24j+8U4MWd9iT0whr8V8CfB/sNR/Dld4Q8KOvYM+6zv/NexxEv3TQPR5O7FVuwdLfRncXYjPjomnp6dTtWrVosdJSUns2bOn2DYjR45k8ODBfPzxx1itVubNm3fR/cbGhqHTle/pw4mJl7EGcgUWiv0qjz599x2kpcHgwVCjRsV4j4Lis1I9cGAm/PgUeOxQ7360rWcQYyj5NpwxjVIgdwi6g3NIPP1vaDbRzwVfxLbxkLUBat6Csf1nJGovvsBJUHxOl6DkfkVC+/nwdTtifh0BvfeA3sf9Vz3ww/1wZi1UT8F0wweYLvGSuVD9rP6Xz0JcVc9dJEP5n0sBUlNTufXWW3nwwQfZvXs3TzzxBKtWrUKjOf8EQXZ2+R6fSUyMJCMEFwUIxX6VV58+/NAIGOjRo5CMjMCPxIPhs9JYjxK5bxiG7O/w6OPJbzYXR5W+kAslLYDyd5+Ums8Re2wVmp+nkh3RE3dEE7/XXhLjyQVEHXwXZ2Rzchq+C1l2wH7B1wTD53QpLtyvxoTVfYzwP17DunmM93wHX1FVwn97hrCjH+OMvoacq/4DZ2yArcy7CrXP6kK/kPhsOr1q1aqkpaUVPU5PTz9nuvzzzz+nV69eACQnJ2O328nOzvZVSULgdnvPSo+L88hUemmoKsaTC4j9oR2G7O+wJ6aQ1W6rN8BL83J9NAWNp6OoTiL3jQA18O+5Nv9nIn8Zi0cXTV7z+QG5DjyYFF7xJK6IpphPzEWfudZn7Zj/nEnY0Vm4whuR23JRcFzVUAH4LMSbNWvGkSNHOHbsGA6Hg9TUVLp06VJsm2rVqvHDDz8AcOjQIex2O3Fxcb4qSQi2bNFy+rSGlBQXOrnA8oIURwZRP91L1L5hAOQ1fZu8Fp+gGst27oojsRe2qgPQ5+3EfPRtX5Raaoozl6if/oXisZHf9F08YfUCWk9Q0BjJu/pdVEVH5P6RKM6ccm/CeHIBEb8/h9tYg9xWS1EN8eXeRqjyWYjrdDomTpzIQw89RO/evenVqxcNGjRgxowZRSe4PfXUUyxatIh+/frx2GOPMW3atHOm3IUoT8uXe5P75ptdAa6kbDT2NAyZa9BYj3lvs+ZjhtOpxG1uizFjFY7YjmS3+wF79XsveXWsgkav4NHHE35wCprCw+VcbSmpKpH7hqGzHqaw7mM4qvQOTB1ByB3ZnMJ6T6C1nyTiwFPlum9DxldE7h+JRx9LbquleEw1y3X/oU5RSzp4XYGV93GOUDt28rdQ7Nfl9snlgubNvbeR3LPHUmFG4hfsl8eO+c9/E/7H/6G4Ld4v6RNwRbXEGZWMKyoZV1RLPMYa5bL8pOLMJeK3pzCdXICqMWKpPwlr7WFlvpVjSX0ypn1O1N4HccTeQG7rlX5fLtN8ZCYRvz/rbb/Vsgvf2asEofh/CsrQL4+TmG3d0OfvJrfFp+XyS5AuZysxO/sBkNN6RbktLBNqn9WFjolXkB9jQvje5s1aMjM1DBrkqDABfiGGzDWEH3gSXeEhPPoErLUeRlv4B7q8HzGcWYvhzNnjkx5DIs7Iln+FuvePx1itTEGpz9pI5L5haG3HcEa2JP/qObgjriq3/tiTbsd+ajHGzC8xnfgQW81B5bbvi9FnfU/4wedxG6qS12xumQNcABo9+Ve/Q+yWjkT+MoqsmLaXNe2tLfiV6N0DQHWQ12JhQFeGC2bynSwqjb+n0m+5pWJPpWsKDxNxYALGzC9RFS2FtR6h8MqnUfUxRdsojjPo8n9En7cbXd6P6PJ+xHjma4xnvi7axmOo8tdovSWuyL+C3VTt3AbdVsIPvkDY0dmoihbLFU9SWO+JS74b1nkpCgWNp6P/YRPhvz+LI6E7HlON8m2jBBp7GlF7BwEKeS0+KvMxfXGWO6IxlvrPEvH7RCJ+HUd+84tfFlwSje342eVUm76DI/Gmcq608pAQF5WC0wmpqTqqVPHQtm3gz5AukbuQsD9eJ+zPmSgeO47YDhQ0+j/ckU3P2VQ1xOOM74ozvmvR1xRHJrq8v4I9/0d0ebsxZq7GmLn6bBOGpKIpeFdUMqo2nIhfH0dnOYArrAH5V7+LK7qNz7roMVXH0mAqkb+MIuKXseS1/My30+oeJ5F7BqFxnKag4Uu4Yq7zXVuVhLXOoxhPr8KU/l/s6f1wJN1aptefXU71BAUNpmCvfo+PKq0cJMRFpfD991qysjQMHuyoeLcaVVUM6UuJ+O0ZtLbjuI01sDScij3ptjIFnGpIwJnQDWdCt6KvKY6Mf4zWvX8bM7/CmPlVsdcW1noES4NJfrmsx1bjfoxpn3vrSPsce7UBPmsr/OALGHI2Y69yC9baI3zWTqWiaMlv+jaxWzoQ+ctYsmLal352w20h+sc70FkOUFjnUax1R/u21kpAQlxUChX1rHRtwS+w5ymi09ejKgYs9cZRWO9x0IaXy/5VQyKOhB44EnoUfU2xny4arWsL/8BW7S6c8Z3Lpb1SURTym8wk7od2RBx4Akf8jaiGhHJvxpC+grA/Z+IKq09+01mV/r7T5ckd3gBLg+eJOPAUkb+M8d405mLvr8dJ1J770edux1btTiwNpvin2BAnIS5CnsMBX3yhp1o1D9deWzGm0hVnLmGHX8Z87F1Q3dgTelLQaBqesCt93rZqrIIjsSeOxJ4+b+t8PGFXYKn/HBG/PU3EgSfIbza3XPevtfxO5L5hqJow8lp8jKqLKtf9C7DWegTD6VUYM1ZhTPvswncZU71r6Bsz1+CI70Z+k9llvuJBlEzeRRHyvvtOS06OQr9+Li6woq9/qB6MJz4mbnMrwo7OxmOqDZ1WkZe82C8BXpFYaw/DGd0GU9rnGDK+LL8duwuJ2nMfGnc++U1mVJilXkOOoiG/6Ww82ggifn0Cje3keTcN//15TKcW4oxqTW6L+eV/0mQlFugfaUL43LJl3h8Y/foF9rajutydxGzvRtT+4SguC5b6E8lqtxVqpAS0roBRtOQ3+Teqoifil7EoztzL36eqEvnLGHQF+7DWfAh7tTsvf5/ivDzmulgaTkXjyiFi/6MlLkRkPvIWYX/OwBXWgNzkz8vtUJHwkhAXIc1uhy+/1FGjhofWrT0BqUFxZBKx/1FitnVBn7sDW9JtZLXfQWG9caA1BaSmisId0ZjCeuPR2k8S/vvl3+XMdGIeplOf4oxqTUGjl8uhQnExthoP4IjvgvHM15hOfFTsOePJhUT8/gxuY3VyWy2T5VR9QEJchLRvv9WSlxegqXSPC9PRd4jb1ArziQ9xRzQmp3Uq+c0/kKUl/6Gw3mN/3WBjHvqsjZe8H13uLiJ+fQKPPo685h/JvcH9RVHIbzILjy6K8N+eRmM9CngXK4rcPwKPLobcVkvwmGsFuNDQJCEuQtry5d6p9Jtv9u9Uuj7re2K3diTywBOASkGjV8hu+z3OuI5+rSMoaAzkN5mFiobI/SPBXfbbDSuOM0TtuQ9UJ3lXvy+B4WceU00KGr2Cxp1P5P4R6HK2EvXTfaDoyE1eJOcl+JCEuAhZNht89ZWO2rU9JCf7aSpdVYnYP4aYnb3RFuzHWv0+strv8q4/Lkt9npcrujXWOo+itR4h/ODUsr1Y9RD58xC0tqMUXvFUsevkhf/Yq92DPaEXhqwNxOxIAdVOXvMPZYEdHytViH/xxRcUFBQAMGPGDAYPHszPP//s08KEuFzffKOjoEChXz+n3y4R1hbsxXxiLq7wq8i5dh0FTWehGhL903iQs1w5AZf5CsxHZ6PL3V7q14X98X8Yz3yNI74bhVc86cMKxQX9df2/Rx+LojooaDwTR2KvQFcV8koV4m+//TYRERHs2bOH77//nltuuYWpU8v427IQfrZihf8XeDGdXAiApf5zPl2+NCRpwyhoMgsFD5H7RoLHftGX6M+sI+zQS7hNtci7+j259jjAVGMSOW2+IqfVUmw1Bga6nEqhVN/xur9u+bRp0yYGDBhA3759sdsv/h9MiEApLPROpdet66F5cz9NpXtcmNIW49HHFlshTZSeM64D1pqD0Vl+IeyP1y+4rcZ6jKi9g0HRk9f8IznzuYJwRzQutqa/8K1ShbiiKKxYsYLU1FTatWsHgNMZ2GtuhbiQdet0FBYq3Hyz/6bS9Vnr0ThOe9c8lzOjL5mlwQu4jTUI++M1tPn7St7IY/cu6OLMoqDRNFzRrf1bpBAVRKlC/Nlnn+Wrr75iwIAB1KpViyNHjtC2rdz7VVRcAZlKP+WdSrdVu9tvbYYiVRdFQeM3UVQXkfuHg+fczzDit6fR5+3EVu1ObDUHB6BKISqGUp0u26pVK2bPnl30uG7dujz33HM+K0qIy2GxwNdf67jySg9Nm/pnKl1x5WE8nYor7Epc0df4pc1Q5kjsia3anZhOfYb56GysdUcVPWc8tQjzsfdwRTQhv/GbcmMTUamVaiQ+bdo08vPzcblc3HPPPbRs2ZLly5f7ujYhLsnatf6fSjekr0DxWL03gZBQKRcFDafh0ScQfmgqWstBwHvXt8j9o/BoI8lrPl+W8BSVXqlCfPPmzURGRvL999+TlJTE6tWrmTu3fO86JER5CcRtR02nPgXAJmt1lxvVEE/BVa+heGxE/DIKxZVH1E//QvEUkt90Nu7wBoEuUYiAK9P1GNu3b6d79+4kJSWhyGhDVEAFBd6ReMOGbq66yj9T6RrrMQzZG3HEXI/HXNcvbVYW9qRbsSemYMj+npgtN6Ar/J3C2iNxJN0c6NKEqBBKFeLx8fE8++yzfPHFF7Rv3x6Xy4XbXTHuyyzEP61Zo8NmU7j5ZpffZrWNaYsALnw/ZXFpFIWCq97Ao4tGZz2MM6YdlgYvBLoqISqMUoX466+/Tv369Zk+fTrR0dGkpaXxwAMP+Lo2Icps2TLvVHq/fn6aSldVTKcWomqM2JNu8U+blYzHVI38q+dgT+hFXrMP5F7UQvxDqUI8Li6Of/3rX4SHh3Pw4EGqVq3Kbbfd5uvahCiT/HzvUquNG7tp1Mg/U+m6vN3oLL9hT+yNqo/xS5uVkSOxF3nJn+ExVQt0KUJUKKW6xGzv3r2MGjUKg8GAqqq4XC7eeustmjZt6uv6hCi1r77S4XAofj2hzfjXteEylS6ECIRShfiLL77ISy+9VLRa25YtW5gyZQqffvqpT4sToiz+vu1ov35+Wk3Q48SU9l88+gQc8XLnLCGE/5VqOt1qtRYFOMB1112H1Wr1WVFClFVuLqxfr6VpUzf166t+adNwZi0aZya2qv3lOK0QIiBKFeJms5ktW7YUPd62bRtms9lnRQlRVl9+qcPpVLjlFn9OpXtnomQqXQgRKKWaTn/66acZPXo0BoMB8N78ZObMmT4tTIiy8PdUuuLMwZjxBa7wRriikv3SphBC/K9ShXjz5s1Zs2YNf/zxB6qqUq9ePXr06MG3337r4/KEuLjsbNiwQUuLFm7q1fPPVLoxfRmKx45NllkVQgRQqUIcQK/X07Bhw6LHquqfH5ZCXMwXX+hxuRT/XRuOdypdRcFe9Q6/tSmEEP+rTMuu/pMsuyoqir/XSvfXVLrGegRDzmacsR3xmGv5pU0hhCjJBUfiBw8ePO9zLpf/Rj1CnE9mpsJ332lp1cpNnTr+mR0ynfoMwDuVLoQQAXTBEB8yZMh5nzMajeVejBBl9cUXOtxuxX/XhqsqxpMLUTVmHEn9/NOmEEKcxwVD/JtvvvFXHUJckrNT6f6ZGdLlbkdnPYytan9UXZRf2hRCiPO55GPiQgTa6dMKmzZpadPGTc2a/ppK//u+4Xf7pT0hhLgQCXERtFJTdXg8Cjff7K9lVh0Y0/+Lx1AFZ9yN/mlTCCEuQEJcBK0VK/w7lW7IXIPGmY2t6h2gKfXVmUII4TMS4iIopacrbN6spW1bF9Wq+Wsq3XvHMlt1OStdCFExSIiLoLRqlQ5V9d9a6YozC0PGV7gimuKOaOaXNoUQ4mIkxEVQWrZMh6Ko9OnjnxA3pi1BUZ2yzKoQokKREBdB59Qpha1bdbRr5yYpyX9npatoZJlVIUSFIiEugs7Kld6Tym6+2T+jcK3lIPrcbTjjOuExVfNLm0IIURoS4iLoLFumR6NRSUnx11T6X8usVpdrw4UQFYuEuAgqx48r7NihpX17N1Wq+GEqXVUxnfoMVRuOvUpf37cnhBBlICEugsrf14b7aypdl7MFrfUI9ir9QBvulzaFEKK0JMRFUFmxQo9W67+p9LPLrMq14UKIikdCXASNI0dg1y4tHTu6iY/3w1S624YxfQluY3WccTf4vj0hhCgjCXERNBYt8v7tr6l0Q+ZXaFy52KvdAYrWL20KIURZSIiLoLFoEeh0Kr17++eGJ6aTfy2zKlPpQogKSkJcBIXDhxV27oROndzExvq+PcWRieHM1zgjW+COaOL7BoUQ4hJIiIugsHy5HsBvtx01pn2OorqwyyhcCFGBSYiLCm/NGi1vvGEgLAx69fLfWemqosVWdYBf2hNCiEshIS4qtGXLdAwaZEajgaVLITra921qLb+hz9uFI74rqrGK7xsUQohLJCEuKqyPP9YzdKgJsxk++8xKjx7+adf417XhMpUuhKjoJMRFhfTOO3oee8xEXJzK0qWFXHed2z8Nqx5Mpz7Do43EnpjinzaFEOIS6QJdgBD/pKrw2msG/u//jFSt6uHzz600bOjxW/v67E1obcewVh8IWrPf2hVCiEvh0xDfuHEjL774Ih6PhwEDBjBkyJBiz7/00kts3boVAJvNxpkzZ9ixY4cvSxIVmKrC888beecdA7Vre/jvfwupU8c/9wv/m0ylCyGCic9C3O12M3nyZObNm0dSUhL9+/enS5cu1K9fv2ibp59+uujf8+fPZ//+/b4qR1RwbjeMH2/k448NNGzoZvFiK9Wq+TfAcRdiTF+G21QLZ2x7/7YthBCXwGfHxPfs2UOdOnWoVasWBoOBlJQU1q1bd97tU1NT6dOnj6/KERWYwwHDhpn4+GMDzZu7Wb48AAEOGDO+QOPOx1btTlDkdBEhRMXns5F4eno6VatWLXqclJTEnj17Stz2xIkTHD9+nOuuu+6i+42NDUOnK991rBMTI8t1fxVFMPTLaoUBAyA1FTp0gFWrtERHR5x3e5/26efFAIQ3GUx4tH/fu2D4rMpK+hQ8QrFfodinkvgsxFX13JGUoiglbpuamkrPnj3Rai8eztnZhZdd2z8lJkaSkZFfrvusCIKhXwUFMHCgmU2bdHTu7OKDD6w4HJCRUfL2vuyTYk8nPm0NrqhW5DhqgB/fu2D4rMpK+hQ8QrFfodanC/1C4rM5w6pVq5KWllb0OD09nSpVSl4444svviAlRS7nqUyys6F//zA2bdKRkuJk/nwrYWGBq8eUthhFdWOrdnfgihBCiDLyWYg3a9aMI0eOcOzYMRwOB6mpqXTp0uWc7Q4fPkxeXh7Jycm+KkVUMOnpCrfcEsauXVruvNPJe+/ZMBoDW5Px1Geoig571f6BLUQIIcrAZ9PpOp2OiRMn8tBDD+F2u7n99ttp0KABM2bM4Oqrr6Zr166Adyq9d+/e551qF6Hl2DGF/v3D+OMPDYMHO3jxRTuaAJ9Dpi3Yjz7/J+yJvVEN8YEtRgghysCn14l36tSJTp06Ffva6NGjiz1+9NFHfVmCqEAOHfIG+IkTGsaMsTNhgoOK8Lub6a9rw+W+4UKIYCMrtgm/+PlnDXfcYSYzU8Ozz9oZNcoR6JK8VDfGU4vw6GJwJNwU6GqEEKJM5GJY4XM7dmi49dYwMjM1TJtmqzgBDuizNqK1n8SerGl37wAAHnZJREFUdCtoTYEuRwghykRG4sKnvvtOy8CBZux2mDXLyh13+Od+4KVVNJVeXc5KF0IEHwlx4TOrV2t56CEzqgrvv28jJaViBThuC8bTK3Cb6+KKbhvoaoQQosxkOl34xJIlOgYNMqPRwPz51ooX4KqbiAMTUNyWv5ZZrQBn2AkhRBnJSFyUu/nz9YwbZyQiAj75xErbtn66F3hpeZxE7nsEU9pinJHNsdYeHuiKhBDikkiIi3K1bp2Wxx83ER/vYdEiK82a+e9e4KXithG19wGMGak4o9uSm7wYVR8T6KqEEOKSSIiLcnP8uMLw4WaMRpVPP62IAW4h+sd7MGStxxHXmdyWC0EbHuiqhBDikkmIi3LhcMBDD5nJzlZ47TUbLVpUrABXnDlE7x6APncr9sQU8prNk0vKhBBBT0JclItJk4zs2qWlf38nAwc6A11OMYojg+hdt6LP34Ot6gDym74DGn2gyxJCiP9v784DoyzSPI5/++7cCYEkCMiAHCoiUfFYVFzD5RBBNKCwOCqirAKieDCD58iKiDoyyKByOMMqI5cXCrg6gICigiKIMCgoxuFKgJCLpNPnu38EM8QkEEIn3Z38Pv+Q9Pv220+lmn66qt6qOm1K4nLa3nvPyty5ds4+289zz5WF1Y3e5rJ9JHx9HdaSnbha3c7Rc14AkyZliEjjoE8zOS0//GDi3nudREcbzJ1bRkwYDTGbS3eT+OU1WEt2Utp2HEfPmaYELiKNilriUmelpTByZBQlJSZeecVFp07hMw5uObqDhE3XYfHkUHLWo5S2e0hzwUWk0VESlzoxDPj9753s2GFhxAgPN9wQPou5WIs2k/D19Zi9Rzja+RnNAxeRRktJXOrkjTdsLFpkIz3dz6RJ7lCHU8GW/xnxm4dg8h+l+NyZlLX6XahDEhGpN0ricsq2bTMzcaKDxESDuXNdOByhjqic7fBKEr4ZDoaX4q5/xZ2WFeqQRETqlZK4nJKiovJx8LIyE3PnlnLmmUaoQwLAnvse8d+OAJOFom5v4GmhvcFFpPFTEpdaMwy4914nP/1kZtw4N337hsea6I79bxC3fTSGJZqi9EV4m10Z6pBERBqE5ttIrc2ebWP5chs9evj4wx88oQ4HAOeeOcRvvwvDGk/hRUuVwEWkSVESl1rZuNHMk086aNEiwKxZZVjDoA8n6qcXiPvuAQL2FAq6r8CXcHGoQxIRaVBh8FEs4S4vz8SoUVEEAjB7dhmpqSEeBzcMYn6YRHT2n/A7W1N44VL8MR1DG5OISAgoicsJ+f1w991O9u838/DDbi6/PMTj4EaA2O8fImrPHHxR7Sm86H0CUW1CG5OISIgoicsJTZtmZ80aK717+xg3LsTj4AEfcdtH4zzwBr7YLhRc+C6GIzW0MYmIhJDGxKVGa9daeO45O61bB/jLX1yYQ/luCbhh/VCcB97AG38RBd2XK4GLSJOnlrhU68ABE3ff7cRqhblzXTRr1kAv7C/BWvIDltIfsJTswlK669jPP4C/GE/SlRSlL8SwxjVQQCIi4UtJXKrweuHOO50cPmxmypQyLrwwyBubGH7Mrp+xViTq45K2e3/V0012/NFnYT7jagrbPAGWqODGIyISoZTEpYrJkx1s3Ghl0CAvt9/urdtFDAOT9wiW0l1Yf0nUFS3rnzAZVcfX/c7WeJr9J/7oDvhjOuI79m/A2QZMFlq0iINDxadZOhGRxkNJXCpZscLKSy/Z6dDBzwsvlJ367p0BL/Hf3obtyCeYfQVVD1vj8cWdhz+mY3myju6IL6Yj/uj2YAmjzchFRCKAkrhU+OknE+PGOYmKMnj11TJiY0/9Gva81TgOvo/fcQbupB4VifqXlrVhb6F9vUVEgkRJXAAoK4M77oiiqMjEjBkuzjmnbuPgjpzFABR1e10rqImI1DNNMRMAHnnEwbffWrj5Zg833eSr0zVMvmIcB5fhi2qPL757kCMUEZFfUxIXFi+28vrrds47z8/kye46X8d+cBmmgAt3yxvVZS4i0gCUxJu4774zM2GCk7g4g1dfdRF1GrO3nMe60t1pNwYpOhERORGNiTdhR4/CyJFOSktN/O1vLtq1q/vGJiZ3Lra8j/EmdMcf0yGIUYqISE3UEm+ijhyBIUOi2bXLwl13ecjMrNs4+C+cOW9iIkCZWuEiIg1GLfEmaN8+EzfdFMXOnRYGD/by2GN1Hwf/hSNnMYbJgjstKwgRiohIbagl3sR8/72ZzMxodu60cPfdHv7ylzJsttO7pqVkJ7aizXiSe5XPAxcRkQahlngT8uWXZm6+OZr8fBOPP17G2LF1XFL1VxwHFgG6oU1EpKEpiTcRK1daGDkyCo8HXnzRxdChpzcGXsEwcOYswbDE4E7JDM41RUSkVtSd3gQsWmTld78rnzv2v/8bxAQOWAs3YnFl404ZoLXPRUQamJJ4Izdzpo177okiLg6WLCmlb19/UK/vPLAQgLKWNwX1uiIicnLqTm+kAgH44x8dvPSSnZYtAyxa5OLss4O8L3jAgyP3bQL2FLxJVwX32iIiclJqiTdCXi+MGAEvvWSnY0c/y5eXBj+BA/a8VZi9+ZSlDQazvg+KiDQ0ffI2MiUlcOedUaxcCRdd5Gf+fBfJyXVfie1EKu5KV1e6iEhIqCXeiOTnw+DB0axcaeWaa+DNN0vrLYGbfEU4Dq3AF90RX1x6vbyGiIicmJJ4I7Fvn4kBA6LZtMlCVpaX996DmHq8Wdx+8H1MgbLyVrh2LBMRCQkl8UZg585/r8L23//tYebM01+F7WScx7rSy9KG1O8LiYhIjTQmHuGOX4XtscfcjB3rqfeGsblsP7Yja/EmXEogul39vpiIiNRISTyCHb8K2/TpLoYNC94iLifiyHkLE4bmhouIhJi60yPU4sXlq7AZBsyb13AJHMCRswjDZMWden2DvaaIiFSlJB6BXnrJxtixUcTGwpIlLvr1C+4qbCdiOfpPbMVb8TTvi2FPbrDXFRGRqtSdHkEMAyZNcjBzpp20tPJV2M45J/iLuJyI88BiQDuWiYiEAyXxCOH1wv33O1m0yEaHDn4WLXLRpk39zAGvkRHAkbOEgCUOd4vfNuxri4hIFepOjwD//KeZwYOjWLTIxoUX+nn//RAkcMBW8DmWsj24U68DS1SDv76IiFSmlngYy8+HqVMdzJtnIxAw8dvfepk5s4zY2NDEU7HMqrrSRUTCgpJ4GPL54LXXbEyd6iA/38RZZwX4n/9x0bt3w93AVkXAjSP3XfyOlnibXRm6OEREpEK9dqevW7eOfv360adPH2bPnl3tOStWrKB///5kZmbywAMP1Gc4EWH9egu9e0fzhz848XrhiSfKWLu2JLQJHLAf/gizrwB32hAwWUIai4iIlKu3lrjf72fSpEn87W9/IzU1lcGDB5ORkUGHDh0qzsnOzmb27NksWLCAhIQE8vLy6iucsLdnj4k//tHB+++Xr5c6bJiXhx92k5ra8GPf1alYZrWlutJFRMJFvSXxrVu30rZtW9q0aQNAZmYmq1atqpTEFy9ezPDhw0lISAAgObnpzTsuLYUZM+zMnGmnrMzERRf5efrpMi64oGGnjp2IyVuA/dD/4Ys5B39s11CHIyIix9RbEs/NzSUtLa3i99TUVLZu3VrpnOzsbACGDh1KIBBg7Nix9OzZs75CCiuGAUuXWnnySQf79plJTQ3wpz+VkZXlwxxmcwYcuUsxGZ7yZVa1Y5mISNiotyRuGFW7gU2/SgB+v5+ff/6Z119/nZycHIYPH86yZcuIj4+v8bpJSdFYrcEdk23RIi6o1zuZLVvg3nth3Tqw22HiRHj4YTOxscGdthW0cn3zJgCxXUYQG9Owf6tfa+i6aiiNsVwqU+RojOVqjGWqTr0l8bS0NHJycip+z83NJSUlpdI5qamppKenY7PZaNOmDe3atSM7O5vzzz+/xuvm55cGNc4WLeI4dKg4qNesSV6eiSlT7MyfXz5l7JprvDz5pJt27QxcLnC5gvdawSqX2bWH5INr8SReTmFpEpQ2zN+qOg1ZVw2pMZZLZYocjbFcja1MJ/pCUm8dt127diU7O5s9e/bg8XhYvnw5GRkZlc7p3bs3GzZsAODIkSNkZ2dXjKE3Jl4vzJlj47LLYnjtNTsdOgRYvLiU114ro1278LhxrSaOnPJWuFs7lomIhJ16a4lbrVYef/xx7rjjDvx+P1lZWXTs2JHp06dz3nnn0atXL6688krWr19P//79sVgsTJgwgaSkpPoKKSTWrrXw6KMOvv/eQny8wVNPlTFihBebLdSR1Y4zZxGGyV6+SpuIiIQVk1Hd4HUYC3YXSX11u2Rnm3jiCQcffGDDZDK4+WYvEyd6aN68Yf7cwSiXpXgbzb7ogTtlAEXd/h6kyOqusXWR/aIxlktlihyNsVyNrUwn6k7Xim1B5vfDc8+VTxlzu01ceqmPp59207Vr+EwZq62KueFp6koXEQlHSuJBZBjw6KMOXn3VzhlnBHjiiTIGDfJF5qwsw1++Y5k1EU/zvqGORkREqqEkHkQzZth59VU755zj5733Sjm2hk3wGEaDzdO25X+Kxb0fV6vbwOJskNcUEZFTE2bLikSuhQutPPWUg1atAixc6ApqArflrSLp8x4kfXYhlpJdwbvwCTgOLAa0Y5mISDhTEg+C1astjB/vJDHRYOFCFy1bBufmNUvJTuI3Dybx6+uxHN2OtfRHEr/sjbXgi6Bcv0Z+F46DS/E7W+NN6lG/ryUiInWmJH6aNm82c/vtUdhs8PrrLjp3Pv0b2EyePGK/e5Ckzy/FcfgjPEk9yb/sE4rOfQmTr4jETQOw5y4NQvTVsx/+P8y+ovJWuElvERGRcKUx8dOwe7eJ4cOjKCuDv/61jEsvPc3tQgMeovbMIXr3VMy+AnxR7SnpNBlPi/5gMuGPO5+AI434rbcQv/UWSjo/g+vMu4NTmOM4j3Wla8cyEZHwpmZWHR08aOKmm6I5fNjMM8+46d/fV/eLGQb2gytI+vxSYndOBAyOdnqa/B4b8aRkVrqZzdu8N4XdVxCwpxD7/e+J2fkIGMGbvmby5GE//BG+2K74Y88N2nVFRCT41BKvg6NHYfjwKH7+2cz997u57TZvna9lKd5G7M6J2I+sxTBZcLW5k5L2D2PYa96W1RefTsElK0nYnEX0zzMwl+2juMsrQbmL3JH7LibDW75jmYiIhDUl8VPk8cDtt0fxzTcWhg/38Pvfe+p0HZP7IDE/PoVz32uYCOBO7kNJp8n4Y8+u1fMDUW0puPgjErYMw5n7NmZ3LkXpb2DYTm/ZWmfOYgxMuNMGn9Z1RESk/qk7/RQYBowf72TNGit9+/p47jn3qU/b9pcR9dMLNFt/AVH75uGP6UTBBW9TdOFbtU7gFfHYmlFw4VLcKYOwF6wn8cu+mF3/OsWA/s3sysZW8DneZj0JOM+o83VERKRhKImfgqeesrNkiY2LLvIza5YL66n0YxgGjpy3afbZxcT+8Ecw2yg++wXyL/sMb/PedQ/K4qTo/HmUnjkGa8n3JG7sjaV4a50u5TywBNAyqyIikULd6bU0Z46NGTMcnHVWgPnzXcTE1P651sJNxO6ciK3gCwyTjdK291Da7iEMW2JwgjOZKek8hYCzFTE7HyHxy2sg6i2w/kftr2EYOHIWYZideFIGBCcuERGpV2qJ18LSpVYefdRBSkqAhQtLSU6u3WIu5rJ9xG27k6SNV2Mr+AJ3ygCO9NhISafJwUvgx3G1HUvR+fMwGV5Yk4ljf+13HrMWf4O1ZCfuFr/FsAV7vVgREakPaomfxPr1FsaMcRITAwsWuGjbthYJ3F9CdPZ0orOnYwq48MZ1o6TT03ibXVnv8XpSr6fQnkri1mHEb7+bkrJ9lLZ76KRrrjuO7VjmVle6iEjEUBI/ge3bzdxySxSGAfPmuU64najJV4wt72Pshz/CcWgFZu9h/PZUSjr8CfcZw8BkabC4vUk9oM96/KuuIebHpzCX7eXo2S+AuYbqNvw4ct4kYEvCczrj8yIi0qCUxGuwd6+JYcOiKC428corLnr2/NVqbIaBpXQX9kMfYs/7CFv+Z+Xd2EDAlkxJuwdx/WY8hrXmzdzrVcI5FFyykvjNQ4jaNw+zez9FXeeBNbbKqbYja7F4cnG1Hglme4OHKiIidaMkXo38fBg6NIqcHDNPPlnGDTccW43N78Ke/wn2wx9iP/wPLK7siud44y/A07wvnuZ98cVf2KAt75oEHGkUdl9B/NZbcBz+iMRNmRSmL8FwpFQ6z3msK10LvIiIRBYl8V9xueDmm6PZudPCXXd5GHPbD9j3fFSeuI+swxQoAyBgjcedMgh3i354kntjOFJDHHn1DGschemLid1xL1H755P0ZW8KL3gLf0zH8hP8pdgPvo/f2RZfwqWhDVZERE6JkvhxfD4YfZeFmJJ1vPvEMjIvWIH10+/+fTzmnGOt7X54Ey8Fsy2E0Z4Cs42j584k4GxNzO5nSPyyD4Xpi/AlXlo+fu8/SsmZd5305jcREQkvSuKA2Z2D7dA/yP54JW9krSQ+qhgAwxWFu/k1Fd3kgagzQxzpaTCZKD3rYQLO1sTuuJfETQMo6vqq7koXEYlgTTqJW4q3waZ7SD6yCYCL02BPfnuMdv+F0bIv3qQrg7KpSDgpa3ULfkdLErbeQvw3NwMmvHEX4I/tHOrQRETkFDXtJF66G4q+52d3Bn9efC1bDl7DjHmtcaaFOrL65W3eh4LuH5CweTBmz0HcLYeEOiQREamDJp3EPakDWZY9nEH/ZZCQYLBsWSmpabVbjS3S+eLTyb9kNY5Dy3C1uj3U4YiISB006SS+fbuZG28Eux3mz3fRoUPTSOC/CESdievM0aEOQ0RE6qhJr53+/fdmzGaYM8dF9+41r8YmIiISjpp0Er/hBh/5+dC3r//kJ4uIiISZJp3EAWwRMtVbRETk15p8EhcREYlUSuIiIiIRSklcREQkQimJi4iIRCglcRERkQilJC4iIhKhlMRFREQilJK4iIhIhFISFxERiVBK4iIiIhFKSVxERCRCmQzDaFr7b4qIiDQSaomLiIhEKCVxERGRCKUkLiIiEqGUxEVERCKUkriIiEiEUhIXERGJUNZQB9BQ1q1bx+TJkwkEAgwZMoRRo0ZVOu7xeJgwYQLbt28nMTGRadOm0bp16xBFWzsHDhxgwoQJHD58GLPZzI033sitt95a6ZwNGzYwevToirL06dOHsWPHhiLcWsvIyCAmJgaz2YzFYuHtt9+udNwwDCZPnszatWtxOp0888wzdOnSJUTRntzu3bsZP358xe979uxh3Lhx3HbbbRWPRUo9TZw4kTVr1pCcnMyyZcsAKCgoYPz48ezbt49WrVrx5z//mYSEhCrPfeedd3j55ZcBuPvuu7n++usbNPaaVFemqVOn8vHHH2Oz2TjzzDOZMmUK8fHxVZ57svdqKFVXrhkzZrB48WKaNWsGwP33389VV11V5bkn+7wMlerKdN999/HTTz8BUFxcTFxcHEuXLq3y3HCuq9NiNAE+n8/o1auX8a9//ctwu93GgAEDjF27dlU6Z/78+cZjjz1mGIZhLFu2zLj33ntDEeopyc3NNbZt22YYhmEUFxcbffv2rVKuL774whg1alQowquzq6++2sjLy6vx+Jo1a4yRI0cagUDA2Lx5szF48OAGjO70+Hw+o0ePHsbevXsrPR4p9bRx40Zj27ZtRmZmZsVjU6dONWbNmmUYhmHMmjXLePbZZ6s8Lz8/38jIyDDy8/ONgoICIyMjwygoKGiwuE+kujJ98sknhtfrNQzDMJ599tlqy2QYJ3+vhlJ15XrxxReNuXPnnvB5tfm8DJXqynS8KVOmGDNmzKj2WDjX1eloEt3pW7dupW3btrRp0wa73U5mZiarVq2qdM7q1asrWgb9+vXj888/xwjzdXBSUlIqWqCxsbG0b9+e3NzcEEdV/1atWsWgQYMwmUykp6dTVFTEwYMHQx1WrXz++ee0adOGVq1ahTqUOrn44ourtLJ/qQ+AQYMGsXLlyirP+/TTT7n88stJTEwkISGByy+/nE8++aRBYj6Z6sp0xRVXYLWWd1Smp6eTk5MTitBOS3Xlqo3afF6GyonKZBgGH3zwAddee20DRxVaTSKJ5+bmkpaWVvF7ampqlWSXm5tLy5YtAbBarcTFxZGfn9+gcZ6OvXv3smPHDrp161bl2JYtWxg4cCB33HEHu3btCkF0p27kyJHccMMNLFq0qMqxX9dnWlpaxHx5Wb58eY0fMpFYTwB5eXmkpKQA5V8sjxw5UuWc2vwfDFdvvfUWPXv2rPH4id6r4ejvf/87AwYMYOLEiRQWFlY5Hql19dVXX5GcnMxvfvObGs+JtLqqjSYxJl5di9pkMp3yOeGqpKSEcePG8fDDDxMbG1vpWJcuXVi9ejUxMTGsXbuWMWPG8NFHH4Uo0tpZsGABqamp5OXlMWLECNq3b8/FF19ccTxS68rj8bB69WoeeOCBKscisZ5ORaTW2csvv4zFYmHgwIHVHj/ZezXcDBs2jNGjR2MymZg+fTrPPPMMU6ZMqXROpNbVsmXLTtgKj7S6qq0m0RJPS0ur1B2Wm5tb0XI4/pwDBw4A4PP5KC4uJjExsUHjrAuv18u4ceMYMGAAffv2rXI8NjaWmJgYAK666ip8Pl+1LaVwkpqaCkBycjJ9+vRh69atlY7/uj5zcnKq1Gc4WrduHV26dKF58+ZVjkViPf0iOTm5Yjjj4MGDFTdNHa82/wfDzTvvvMOaNWt4/vnna0xiJ3uvhpvmzZtjsVgwm80MGTKEb7/9tso5kVhXPp+Pf/zjH/Tv37/GcyKtrmqrSSTxrl27kp2dzZ49e/B4PCxfvpyMjIxK52RkZPDOO+8A8OGHH3LZZZeF/bdPwzB45JFHaN++PSNGjKj2nEOHDlV8s966dSuBQICkpKSGDPOUlJaWcvTo0Yqf169fT8eOHSudk5GRwbvvvothGGzZsoW4uLiw/5CB8q70zMzMao9FWj0d75f6AHj33Xfp1atXlXOuuOIKPv30UwoLCyksLOTTTz/liiuuaOhQa23dunXMmTOHl19+maioqGrPqc17Ndwcf+/IypUrq423Np+X4eazzz6jffv2lYYBjheJdVVbTaI73Wq18vjjj3PHHXfg9/vJysqiY8eOTJ8+nfPOO49evXoxePBgHnroIfr06UNCQgLTpk0LddgntWnTJpYuXUqnTp247rrrgPIpI/v37wfKu84+/PBDFixYgMViwel08sILL4T1l5O8vDzGjBkDgN/v59prr6Vnz54sWLAAKC/TVVddxdq1a+nTpw9RUVE8/fTToQy5VlwuF5999hmTJk2qeOz4MkVKPd1///1s3LiR/Px8evbsyT333MOoUaO47777ePPNN2nZsiXTp08H4Ntvv2XhwoVMnjyZxMRERo8ezeDBgwEYM2ZM2PR0VVem2bNn4/F4Kr4cd+vWjUmTJpGbm8ujjz7KnDlzanyvhovqyrVx40a+++47AFq1alXxfjy+XDV9XoaD6so0ZMgQVqxYUeULciTV1enQVqQiIiIRqkl0p4uIiDRGSuIiIiIRSklcREQkQimJi4iIRCglcRERkQjVJKaYiUj5fG673Y7D4ah4bObMmUHdrW/v3r1kZWWxYcOGoF1TRGqmJC7ShLz44ot06tQp1GGISJCoO12kievcuTMzZsxg6NCh9OvXjw8//LDi2Lp16xg0aBADBgzg1ltv5eeff6449uabbzJw4EAGDhxIVlYWhw8frjg2bdo0Bg0aRL9+/fjqq68atDwiTYla4iJNyLhx4yq60y0WC2+//TZQvsHFwoUL2b17N8OGDaN79+4ATJgwgfnz59OhQweWLFnCgw8+yJIlS9iwYQOzZs3ijTfeoEWLFpSUlGC1WikrK6OgoID09HTGjx/Pe++9x/PPP8/ChQtDVmaRxkxJXKQJqak7fciQIQC0b9+ec889ly1btmAymTj77LPp0KEDAFlZWTz55JMcPXqUNWvWcN1119GiRQuAis1bAKKjo7n66quB8r24p06dWt/FEmmy1J0uIpUYhoHJZKr491TZ7faKn81mMz6fL5jhichxlMRFhLfeeguA7OxsduzYQbdu3bjgggvYsWMHP/74I1C+Nee5555LbGwsV199NUuXLq0YBy8pKcHj8YQsfpGmSt3pIk3I8WPiAE899RRQ3noeOnQo+fn5TJo0ieTkZACeffZZHnzwQXw+H82aNeO5554D4JJLLmHUqFGMGDECk8mE3W7nlVdeafgCiTRx2sVMpInr3LkzX3/9daVxbRGJDOpOFxERiVBqiYuIiEQotcRFREQilJK4iIhIhFISFxERiVBK4iIiIhFKSVxERCRCKYmLiIhEqP8HRoq217Wpkv0AAAAASUVORK5CYII=\n", + "text/plain": [ + "<Figure size 576x396 with 1 Axes>" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plot(history) # default settings" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Best ROC AUC 0.8408565677650215\n", + "Best Acc 0.8061403512954712\n", + "----Best Epoch:\n", + "train_loss 0.202535\n", + "valid_loss 0.513082\n", + "train_acc 0.921378\n", + "valid_acc 0.806140\n", + "train_roc 0.962840\n", + "roc 0.840857\n", + "Name: 19, dtype: float64\n", + "----\n" + ] + }, + { + "data": { + "image/png": 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FUQpev6SEhATk+5z04IUQQpQZ27drmDrVyJo1rvhq1cpOTIwDg0FFr3f10A0GFZ0ODAauPKZeeRxCQkxkZmbmLqvXq3mWMxjIXTef6UnKDAl4IYQQpd6WLVqmTjWwbp0rttq0sfPss1batHEUqUcdEgKJiU43VVm6SMALIYQotTZtcgX7hg2uuGrXzs7YsVZat5aziAoiAS+EEKJUUVX47Tct06YZ+O03V0y1b+8K9pYtJdgLSwJeCCFEqaCqsGGDq8e+ebMrnmJi7Dz7rIXmzcvHsHpxkoAXQgjhUaoKv/7q6rFv3eqKpbvvdgV7dLQE+80q48cIln6PPx7Lli2b8jz27bfzmDr1jXzXufvudu4uSwghPE5VYc0aLV27mhg40MTWrTr+8x8bv/ySyddfZ0u4/0sS8G7WqVNnVq9emeexVatWcvfdnT1UkRBCeJaqwi+/aOnSxcR995nYsUNL1642Vq/O5IsvcmjcWIK9OMgQvZt16NCROXNmYbVaMRgMnD9/jkuXEqlTpy5PPTWS9PQ07HY7jz46knbt7vJ0uUII4TaqCitWaJk2zciePVoAune38cwzVho2lFAvbm4N+PXr1zNlyhScTif9+/cnNjY2z/Nnz55l/PjxJCUlERQUxNtvv014eDgAixcvZtasWQCMHDmSe++991/V4vfHyxgTfijaSlqFCo78J/qzhPUms+7kG27CbA6iQYPb2LLld9q1u4tVq1bSseM9GAxGXn/9bfz8/ElJSWHEiIdp27Y9SmmaIkkIIW5AVSEnB9LSFNLSFFJTr9523VdIT4fUVNf9gwddc7krikqvXq5gb9BAgt1d3BbwDoeDSZMmMXfuXMLCwujXrx8xMTHUrl07d5k333yT3r17c++997Jp0yamTZvG22+/TUpKCu+99x7ff/89iqLQp08fYmJiMJvN7irXrTp16syqVStp1+4uVq9eyYsvTgDgo4/eZ8+eXSiKhsTERJKSLlOxYiUPVyuEKO/27tVw4ACcPWu4Etb8LbDzBrfNVvhOiUaj0qePjaeftlKvngS7u7kt4Pfu3UtkZCQREREAdOvWjdWrV+cJ+GPHjjF+/HgAWrVqxejRowHYuHEjbdq0ISgoCIA2bdqwYcMGunfvftP1ZNadXGBv+59CQgJIKoa5mNu1u4v/+793OHLkMBZLDvXq1Wf58h9JSUnhk0++QqfT0a9fj+teIlYIIUrK1q0apk+/Og0sXHspNF9flYAAleBglchIlcDAv/+A2Xz1vtmsEhBw9bGgIBU/v5JtU3nmtoBPSEjIHW4HCAsLY+/evXmWqV+/PitWrOChhx7il19+ITMzk+Tk5Ouum5CQcMPXCw42odNpi7cR3Hgi/8ILoFWrlrz99mR69ep5ZZs2brkljMqVg9m8eTMXLpynQgU/QkICUBSlmF73+ty5bU/yxnZJm8qOstouVYV162DSJFi71vVY+/YQGwuhoRAUBGbz1X8NBgUo27sSy+pnVVRuC/jrXaTun/uXn3vuOV577TUWL15Ms2bNCAsLQ6fTFWrdf0pOzvp3BV9HcV5NqV27jvz88zj++9/JJCamc8cdMSxZ8jQ9e/amTp26REZWJykpE6MxHVVV3XYVp9J+haib5Y3tkjaVHWWxXX+dez59uoEtW67OFvfss1ZatXJct02pqZ6otHiVxc/qRjxyNbnw8HAuXLiQez8hIYHQ0NA8y4SFhfHee+8BkJmZycqVKwkICCA8PJytW7fmWbdFixbuKrVEtG/fgY0bt+feDwoK4qOP5l532V9+2VBSZQkhypm/TlGbPt3Izp2uUc+777bz9NMWmjWT/eLexG3nwTdq1IiTJ08SHx+P1WolLi6OmJiYPMskJSXhdLp+oWbPnk3fvn0BaNu2LRs3biQ1NZXU1FQ2btxI27Zt3VWqEEJ4PacTli3T0amTifvvN7Fzp+vc81WrXJPKSLh7H7f14HU6HRMmTGD48OE4HA769u1LnTp1mDFjBg0bNqRjx45s3bqV6dOnoygKzZo145VXXgFcvdtRo0bRr18/AEaPHp17wJ0QQojCczhg6VId775ryD1FrXdvG2PGWLn1Vgl1b6ao19vhXQa5Y5+Kt+2rAe9sE3hnu6RNZUdpbJfdDt9/r2PGDANHj2rRalX69LEzZoyVOnUKDvbS2Kbi4G3t8sg+eCGEECXPaoVvv9UzY4aBU6c06HQqQ4ZYefJJKzVqeEV/ThSSBLwQQniBnByYN0/Pe+8ZOHNGg8Gg8vDDVp54wkpEhAR7eSQBL4QQZVhWFnz5pZ733zdw4YIGHx+V2Fgro0dbqVxZgr08k4AXQogyRlVd08l+842eRYt0JCVpMJlURo+2MnKkldBQCXYhAS+EEGXGhQsKCxfqWbhQx+HDrnPYK1Vy8vTTFmJjbVSsKMEurpKAF0KIUiwrC376Sce33+pZt06L06lgMKj06GFj4EAbHTo40Os9XaUojSTghRCilHE6YcsWLd98o2PpUj0ZGa6pups2dTBwoI3evW3I1CCiIBLwQghRSpw44RqC//ZbPadPuyYarVrVyaOPWhkwwEatWjIELwpPAl4IITwoLQ2WLNHz7be63Iu+mEwqAwe6huDvuMOBxm2TigtvJgEvhBAlzG6Hdeu0fPutnp9+0pGTo6AoKu3a2Rk40EbXrnb8/T1dpSjrJOCFEKIEqCocOqTh22/1fPedjosXXd3yWrWcDBxopV8/G1WryhC8KD4S8EII4QZWK+zbp2HbNm3uz4ULrlAPCnLNMjdwoI3oaCeK4uFihVeSgBdCiGKQmKiwfbuWbdtcob57txaL5Wpyh4U56dnTRq9edu65x47R6MFiRbkgAS+EEEXkdMKRI1d75zt3wp9/Xt1prtGo3Habk+bNHbk/ERGq9NRFiZKAF0KIAmRkwI4dV4fad+zQkpZ2Na3NZoiJsdO8uYMWLRxERTnkIDnhcRLwQgivp6rgcLiOXrfbwWYDm03Jve1wuO7bbFefP3Xqag/94EENTufVQK9Vy0nXrvbc3nmbNn5cvpztwRYKcS0JeCFEmbVtm4YpU4xcvKjkBvbVEFfyhPnN8vFRadHi6lB7s2ZOKlXKe7S7nKcuSiMJeCFEmZOdDW++aeTDD/U4nQqVKjnR60GnA5MJ9HoVnU7Nfezvt13//v25v5Ynz/JhYSrNmzto2NCJweDpFgtRdBLwQogyZds2DU895cPRo1qqV3cyc2Y2rVo5PF2WEKWOBLwQokz4e69dVSE21sr48RZMJk9XJkTpJAEvhCj1ru2150ivXYgCSMALIUot6bULcfMk4IUQpZL02oX4dyTghRClivTahSgeEvBCiFJDeu1CFB8JeCGEx0mvXYjiJwEvhPAo6bUL4R4S8EIIj5BeuxDuJQEvhChx0msXwv0k4IUQJSY7GyZOlF67ECXBrQG/fv16pkyZgtPppH///sTGxuZ5/ty5czz//POkp6fjcDgYO3Ys7du358yZM3Tt2pUaNWoA0LhxYyZNmuTOUoUQbuR0wsqVWqZMgSNHDNJrF6IEuC3gHQ4HkyZNYu7cuYSFhdGvXz9iYmKoXbt27jKzZs2iS5cuDB48mKNHjxIbG8uaNWsAqFatGkuWLHFXeUKIEpCRAd98o2f2bAMnTmhQFOm1C1FS3Bbwe/fuJTIykoiICAC6devG6tWr8wS8oihkZGQAkJ6eTmhoqLvKEUKUoDNnFObMMfDVV3rS0hSMRpUhQ6w8/7yB8HCLp8sTolxwW8AnJCQQHh6eez8sLIy9e/fmWebxxx9n2LBhfPXVV2RnZzN37tzc586cOUPv3r3x9/dnzJgxNGvW7IavFxxsQqfTFm8jgJCQgGLfpqd5Y5vAO9tVltqkqrB5M7zzDixaBA4HhIXBs8/CY48phIb+dVH1stOmoihLn1VheWObwHvb9U9uC3hVVa95TFGUPPfj4uK49957GTp0KLt27eK5555j2bJlhIaGsnbtWoKDg9m/fz+jR48mLi4Of3//fF8vOTmr2NsQEhJAYmJ6sW/Xk7yxTeCd7SorbbLZYNkyHR99ZGDnTteX7IYNHcTGWrn3XjtGo2u5xMSy06ai8sZ2eWObwPvadaMvK24L+PDwcC5cuJB7PyEh4Zoh+O+++445c+YAEBUVhcViITk5mYoVK2IwuL7tN2zYkGrVqnHixAkaNWrkrnKFEEWUnAxffmng00/1nDunQVFU/vMfGyNG2LjjDgf/+D4vhChhGndtuFGjRpw8eZL4+HisVitxcXHExMTkWaZy5cps2rQJgGPHjmGxWKhQoQJJSUk4HK6ja+Pj4zl58mTuvnwhhGcdParw3HNGoqL8mTzZSGqqwqOPWtm0KZMvvsihTRsJdyFKA7f14HU6HRMmTGD48OE4HA769u1LnTp1mDFjBg0bNqRjx4688MILvPzyy3z22WcoisIbb7yBoihs27aNmTNnotVq0Wq1vPrqqwQFBbmrVCFEAVQV1q3TMnu2gVWrXH82IiKcPPechSFDbJjNHi5QCHENRb3ezvIyyB37VLxtXw14Z5vAO9tVGtqUnQ2LFumZPVvPoUOu/estWtgZMcJGly52dEXsIpSGNrmDN7bLG9sE3tcuj+yDF0KUXQkJCnPn6vn8cz2XL2vQ6VT69LERG2slOtrp6fKEEIUgAS+EAMBuh1WrtMybp+eXX3Q4HArBwSpPPWXhkUds3HKLVwz2CVFuSMALUc4dO6Ywb56eb77Rc/Gi67jb2293cP/9NgYMsMmMc0KUURLwQpRDmZnw4486vv5az5Ytrj8DQUEqw4ZZGTzYRqNGMgwvRFknAS9EOaGqsHOnhnnz9CxerCcjw3UuW7t2doYMsdG1qx0fHw8XKYQoNhLwQni5S5cUFi7UMX++nsOHXUfCV6niZMQIK4MG2ahWTfatC+GNJOCF8EIOB/z6q5avv9azYoUOm01Br1fp2dPG4ME22rd3oC3+SzcIIUoRCXghvMjJkwoLFuhZsMA1fSxAgwYOBg+20a+fnYoVpbcuRHkhAS9EGZedDXFxOubN07Nxo+u/dECAyoMPug6Yi4pyytSxQpRDEvBClGE//KDj+ed9SE52JXjr1nYGD7bRo4ddTm8TopyTgBeiDMrKgpdfNvLVVwZMJpUnn7QweLCNmjVlCF4I4SIBL0QZc+iQhthYH44c0dKwoYOPP86mVi0JdiFEXm67XKwQonipKnzxhZ7OnU0cOaLl0Uet/PRTloS7EOK6pAcvRBmQmgrPPuvD0qV6goJUPvoomy5d7J4uSwhRiknAC1HK7dihYcQIX06f1tCypZ0PP8yhShXptQshbkyG6IUopZxOeO89PT16mIiPV3jmGQuLF2dLuAshCkV68EKUQomJCg8+CD//7ENoqJNZs3Jo187h6bKEEGWIBLwQpcz69VpGjfLh4kXo2NHOzJk5hIRIr10IUTQS8EKUEnY7vP22gXffNaDVwtSpcP/92WhkR5oQ4iZIwAtRCpw5o/DYYz5s3aqjWjUns2dn07mzH4mJnq5MCFFWSd9ACA9bvlxHTIwfW7fq6NXLxpo1mURHOz1dlhCijJMevBAekpMDr75q5JNPDPj6qkyfnsOQITa5MIwQolhIwAvhAUePKsTG+rJ/v5b69R3Mnp1D/frSaxdCFB8ZoheihH3zjY5OnfzYv1/LAw9Y+fnnLAl3IUSxkx68ECXA6XQdSPfmm0YWLtQTEKDy8cfZ9Ool080KIdxDAl6IYqSqcO6cwpEjGg4f1nDkiJYjRzQcOaIhM9O1cz062sFHH2UTGSnntgsh3EcCXoiboKqQkKBcCXFXmB8+rOWPPzSkp+c9Ss5gUKlVy0n9+k6aNXPw0EM2DAYPFS6EKDck4IW4AVWFixeV3F74X4F+5IiW1NS8Qa7TuYK8Xj3XT/36rp8aNZzo5H+aEEJVKcnTZOTPjhD/oKrw3nsGVq1yDa8nJeU9FlWrValRw0nbtq4gb9DA9W/Nmk7pmYuyy2lFn/wbxsQ4DIk/gc6AJmoZTp8qnq6sbFJVNDnx6FM25/5os46SGvUdtgp3lkgJEvBC/MPbbxuYOtWIoqhUr67SooWN+vWv9spr13ZiNHq6SiH+PcWWiuHyLxguxmG4vAqNPRUAVZgwWuQAACAASURBVOsHOZmYd/YhpfnPqPpgD1daBjjt6DIOoEvZdCXQt6C1nM19WtX4YDO3wOETUWIluTXg169fz5QpU3A6nfTv35/Y2Ng8z587d47nn3+e9PR0HA4HY8eOpX379gB89NFHfPfdd2g0Gl5++WXatWvnzlKFAGDBAh1TpxqpVs1JXFwWYWFyIJzwLpqcMxgSl2O8GIc+eSOKagPA4VONrMqDsIZ2wxZ0ByFnJqE7MgPz7vtIif4BtL4errx0Uezp6FK3o0/ZhD5lC7rUbWgcGbnPO/WVsIT2wGZuhS2oJfbAJqAp2SE+twW8w+Fg0qRJzJ07l7CwMPr160dMTAy1a9fOXWbWrFl06dKFwYMHc/ToUWJjY1mzZg1Hjx4lLi6OuLg4EhISeOSRR1ixYgVardZd5QrBr79qeeYZH4KDVRYskHAXXkJV0Wbsx3gxDkPicvTpu3OfsgVEYQ3pgiW0Gw7/hnn3D0dPJyclHp+ERQTuG0ba7V+ApvwO+mpyzqJP2YzuynC7Ln0fClfnr7D71cViboUtuDV2c0scplolur/9etz2ae3du5fIyEgiIlzDEd26dWP16tV5Al5RFDIyXN940tPTCQ0NBWD16tV069YNg8FAREQEkZGR7N27l6ioKHeVK8q5Awc0DB3qi0YDn3+eTe3aEu6iDHPa0Cf/hiExDmPiT2hzTgOgKnqsFWOwhHTDGtL1xvvXFQ3pDT9CY0vCmLgM/8PPktHgXY+HVolQVbQZB670zq8Mt195DwFUxYA9qAW2oFbYglpjM7dANVT0YMHX57aAT0hIIDw8PPd+WFgYe/fuzbPM448/zrBhw/jqq6/Izs5m7ty5ues2btw4z7oJCQnuKlWUc+fOKQwe7EtGhsLs2dm0auXwdElCFJliT8NwaRWGxDgMl35BY08BwKkzkxPeD2tIN6wVO6HqzYXfqMZIWuOvMG/viu/ZuTiN4WTVetFNLSgdFOslAvc+hCF5Q+5jTn0FLCFdrwR6K+wBTUDr48EqC8dtAa+q1/aAlH9884uLi+Pee+9l6NCh7Nq1i+eee45ly5YVat1/Cg42odMV/xB+SEhAsW/T07yxTXBz7UpLgwcfhPPn4a234NFHS9d+Rm/8rLyxTeChdqkqnPgcTi2AhDXgdO1Px1QNaj4AVXuhCb0TH42em4kjV5sCoNMKWHkHfsf/h1/FSKgzojhbUeLy/ayS98DvvSDzFITfA5EDoFIbNIH1MCoKZe3YWrcFfHh4OBcuXMi9n5CQkDsE/5fvvvuOOXPmABAVFYXFYiE5OblQ6/5TcnJWMVbvEhISQGJierFv15O8sU1wc+2y2WDwYF/27tXxyCNWHnrIUqquv+6Nn5U3tgk81C5HNgEHRuGT8D0AtoDGWEO6Xtmf3ujqUPrlHCCnyJvP2yY/tI2/J2jbPSjbRpFmDcQa2r142lHC8vusDAk/ELj/MRRnFpm1XiKrxjhQNGAFLmVcu6FS4kZfLN12sZlGjRpx8uRJ4uPjsVqtxMXFERMTk2eZypUrs2nTJgCOHTuGxWKhQoUKxMTEEBcXh9VqJT4+npMnT3L77be7q1RRDqkqjB3rw7p1Ou65x86UKZZysWtReAfFkkDQjm74JHyPLag1l9vuI6XVBrJqvYgj4Ha37Cd3+NUmNWohaH0J3PcIuuRNxf4aHqE6MR2djHnvg6iKhtTG88iq+bwr3Ms4t/XgdTodEyZMYPjw4TgcDvr27UudOnWYMWMGDRs2pGPHjrzwwgu8/PLLfPbZZyiKwhtvvIGiKNSpU4cuXbrQtWtXtFotEyZMkCPoRbGaNs3A/Pl6Gjd2zQsvM82JskKbvg/z7oFoc86QU3kQ6bfOBE3JDB7bzU1Jvf1LzLsHYN49kJTmP+Pwv7VEXtsdFHs6AftHYExchsO3OqlNFpTp9vyTol5vh3cZ5I7hMW8cTvTGNkHR2rVggY4nn/Qt9ee6e+Nn5Y1tgpJrlyHxJwL3DUVxZJJReyLZ1Z9221HtN2qT8fwCAvfH4jDeQkrzX3D6ltzkLf/WX+3SZB3HvHsQusxDWCu0J63RZ6XySPiCeGSIXojSaP1617nuZrPKvHnZpTbchchDVfE9+X8E7r4PVCept39Fdo1nPHbKmqXyfWTUmYzWcg7zrj4otiSP1HGz9Jd/JXhrB3SZh8iKGEFq1KIyGe4FkYAX5cbBgxoeecR1rvsXX2RTt66z4JWE8DSnFf+DT+D/50s4jeGkNP8Za1hPT1dFduQTZFUbjS7zCOZdA8FR/Ac6FztVhSMzMe+6F8WeQfqt75FZ/23Q6D1dmVvInkdRLpw/7zrXPT1d4cMPs2ndWs51L0mKPR1d+l6wWMDQoXxMllIMFFsSgXsewJC8AVtAE9KaLMDpc4uny3JRFDLrTkFjvYjPhYUE7n2EtMZfl97Z7pwW/A89C+e+QDWEktr4a+xBLT1dlVuV0k9CiOKTkeE6He7cOQ0vv2yhTx+7p0vybo4cdOl70aXtQp+2E13aLrSZR1Bw7Q7xi3yCzDqTJeQLoM38k8DdA9BlHcMS2pO0hh+B1s/TZeWlaEi/bRYa6yWMl37C//DTZDSYWeo+W8WSgHnP/ehTt0CFpiTf9iVOn6qeLsvtJOCFV7PZYNgwXw4c0PLgg1aeeMLq6ZK8i9OGLuMguitBrkvbiS7jIIp69UuUU+uPLbgN9sBoTMkrMZ36P1RdEFk1x3mw8NJNf/lXAvc+iMaeQlb1Z8ms/d/Se9qWxnBltrtu+J79HKchjKzaL3u6qly61J0E7hmC1nKWnPD++Nz5Oc7k8vElXwJeeC1VheeeM7J2rY5Oney88Yac6/6vqA60mX+iS9uB/q8wT9+H4rRcXUTjgz0wCltgNPbAKOyBTXH41ckNJ5PfOBw/t8Hv2Gs49WZyImLze7Vyy+fMXPwPPwsopN32IZZbBnu6pAKpugBSo74jeNvd+J14C6cxnJyI4Z4uC+P5bwk4+Dg4LWTUmUR25FP46HwB7zuT43ok4IXXeucdA19/beD22x3Mnu3F57qrKlDcZwOoaLJP5Q6x61J3okvfk+dymKqiw+5/G/YrYW4zR+Pwa3DjA5ZMVUmN/oGg7f8h4PBYVF0glsr3FXPtZZTqwO+PlzGdfh+nviKpjedhD27t6aoKTTWGkhK9mOBtd+N/+FmchlDPHQyoOvA7+iqmk+/i1AWSfvuXWEM6e6YWD/LWP3minFu4UMcbbxiJiHDy9dfZ+Pt7uiL30GYcJGjbPWjsaW59HRUFh189rIHR2AKjsJujsfs3uqkLbjj8apMSvZig7d0IODASVRuINbSrG6ouOxR7OgH7hmK8tAK7Xz1Sm3yL01TD02UVmdNUk9So7zBv70bg/mGk6hdjq9C2RGtQbKkE7B+G8dJK7KbapDVZgMOvbonWUFpIwAuvs2GDljFjfAgM9P5z3U3H30JjT8NmbolazLOZOQ2VsAc2xW6OxhbQGHTF9y3JEdCI1KiFBO3oReC+h0iN+h5bhTuLbftliSb7NObdA9FlHMBaMYa0Rp8X7YpvpYw9MMq1T35XfwL3DCKl2c84Am4rkdd2HZh4H7qsP7FW7ERao09R9UEl8tqlkQS88CqHDrnOdQfXdd3r1fPec921mX9iTFiMLaAJKc1XlrojlwtiD2pJapN5riDYfR+pTZdiNzfzdFklSpeyBfOewWisiWRHxJJR943Se5pZEdgqxpB+2ywC9w/HvKvPldnuqrn1NfWXfiFw31A09lSyIp8is85EUMr3FOel9LBMIYruwgXXue5paQozZ+bQpo13n+vue/IdFFSyajxb5sL9L7aKMaQ1+hTFkYV5V1+0GYc8XVKJMZ7/lqAd3VFsSaTXn0pG/aleEe5/sVQeQEbd19FazmPeeS+K9bJ7XkhV8T05A/Ou/ijOHNIaziaz7mvlPtxBevDCS6Snw5Ahvpw9q2H8eAt9+3r3aTCa7Hh8zi/A7lcXa2gPT5fzr1jDepF+63sEHhyFeUcvUpqvKJP7nwtNdWI69rrraHNdIGmN5mOr1MnTVblFduTjaCwXMJ2aiXn3AFKaLi38ufxOG4o9FY0tBcWemvujsaVduZ2Cxp6KNvNPDEm/4jBWJq3xPOzmpu5tVBlSYMAnJCQQFhZWErUIcVPsdhgwAPbt0/LAA1aeesr7z3U3nZqBotrJqv5M6T0/uggsVe4nw56C/x/jCdrZi5TmK3Eawz1dVvFzZBNwYCQ+CYuuXL3sWxz+9T1dlVtl1pmExpqAz/lvMO95AEtoz7+Fdcrfbqfmve0s/NS3NnNL0hp/6Z2/M/9CgQHft29foqKiGDx4MK1bl51TNoR3UlWwWiErC7KyFLKyFD74QM/PP0NMjJ033/T+c90Vy0V8zn6BwycSS3h/T5dTbLIjH0exp+J3/E3MO3uT0mw5qr5CyReiqhgS49Cl7b76WO4vVT7/XvDBlGW59vEr66lX7hsv/og+bSe2oNakNv4a1VDJTY0oRRQN6be+j8aaiOHyKgyXV113MVXRourMqDozdr9wVL3rtlNnzud20NXbxlvK7G4qdyow4NesWcPy5ct59913ee211xgyZAi9evXC31vPOxLFQlUhOxsyMhQyMiAzU7ny4wrmq/8qfwvrq//mfTzvc3b7tf+Ro6JgzhwvPtf9b0yn30dx5pBV/Smvu0hGVs3xKLYUTPEfYd7Zl9SmS1F1+V8Os7jpUrbi/8d49Klbi7xuYSeRLelruJcKGgOpjedhvPgjoF4b0Dqza+heQrpYFel68Dt37uSZZ54hLS2Ne++9l1GjRlGxYum4xJ5cD75wCtum+HiFU6c0ueGckeEKZVdgu27/FdpXl+HKc67nnc5/959VUVRMJjCZrv7r5/fXfddjfn4qFSuqvPCCEY3G+z8rxZZMhQ0NUbUmktruu6nz0D2pUL9/qtM1jH1+PtYK7UltstDt7dRkn8Lvz1fwSVgEgCW0J9lVh4HGcGUiIbg6mdDfJha68lxQkC8pKVn/WIZr1lV1gdjNLcpEkHnj3z/wvnbd6HrwhervnD17lgULFrBs2TJat25N//792bx5M8OGDeOHH34otkKF52VkwFtvGZk9W1+kgPb1VfHzcwVwxYpO/PxU/P3J/dff/+rzfw/nv4f3P0Pcx6fwfwdDQowkJt5ko8sQ3/jZaBzpZNR8vsyFe6FdGdJV7OkYE5cRuG8oabd/4ZYjzBVbKqaT0/A9PQvFacEWGE1m3dexBd9RtA2FBGDTek9oCO9Q4P+Yxx57jD/++IP77ruPRYsWERwcDEB0dDTLly93e4Gi5KxYoeWFF3w4e1ZD9epO+vSxEhDw96B2ha+/f97HTCbKxdC4x9kz8D39AU5dENlVh3q6GvfS6Ehr9Cnm3QMwJi4j4OBo0m+bVXwHFDrt+Jydi9+x19HYLuPwqUpm7VdcxzR4wUGLQkAhAr5Xr17cc889aLXXnlO4bNkytxQlStb58wrjxxuJi9Oj16s8/bSFMWOs+Pp6ujLxd75nP0NjSyaz5ovFOqtcqaX1IbXxPIJ29sTn/HycukAy673174a3VRXDpZ/x+/O/6DL/wKn1J6P2K2RXGwVa+YUX3qXAgDebzWRlZREQ4BrnT0tL48CBA3JEvRdwOGDuXD2vv24kI0OhRQs7U6daqF/fe2d/K7OcFnxPzsSp9Se72ghPV1NydP6kRn1H0PaumOI/QtUHkVXrpZvalDZ9H/5/vIQh6VdUNGRXGUpmrfGoxtBiLlqI0qHAsai33norzxHz/v7+vPXWW24tSrjfvn0aunY1MX68D1otTJ+ew9Kl2RLupZTPuXlorRfIqTrMM6eOeZCqr0Bq9A84fKvjd/xNfE+9V6T1NTnn8T8wiuDNbTEk/Yq1YieSW/9Oxq3vSrgLr1ZgD15VVZS/DYlpNBocDu+eAtSbZWTAK6+4DqJzOBT69rXx6qsWQkO994IsZZ7TjunkO6gaI9mRoz1djUc4jeGkNF1K0LbO+P8xHlVnJqfKAzdeyZGJ6eRMTCdnoDizsPvfSkbdKdgqdiyZooXwsAJ78H5+fuzZsyf3/p49ezCZTG4tSrjHypVabrsNZs0yEBGh8u23WcyalSPhXsoZE75Hm32SnFseKNczdTl9q5MavQSnvgL+B5/AkLDk+guqDoxnv6LCb9H4Hf8fqs6f9AYzSW71m4S7KFcK7MGPGzeO0aNHU7t2bQCOHj3Ke+8VbYhMeNb58wovvWRk2TI9Oh1yEF1ZojoxnZiGqmhdE9uUcw7/+qRGfY95Rw8C9w0lVfdtntDWJ63D74+X0KfvRdX4kFljHNnVx5ToZDlClBYFBnxUVBRxcXHs3r0bVVWJiorCbC671youTxwO+OwzPVOmXD2I7tNPdYSGev9c7d7CkLgcXeZhcioPxukb6elySgW7uSlpTb7BvKsP5t1DSGm6BFUfjN8f/8V46ScAcirfR2btCTh9qnq4WiE8p1BnL5vNZtq3b+/uWkQx2rdPw9ixPuzapcVsVpk2LYchQ2yEhQWUiwlhvIKqYjrxNioKWdWf9nQ1pYqtQjvSbv+CwD2DCdrZG5w5KKoDa1AbMutOwW6O9nSJQnhcgQF/+PBhXnnlFQ4fPozVerXnd+hQ+bluc1mSkQFvv331ILo+fWxMmiQH0ZVJF1ahT9uFJbQXDv96nq6m1LGGdCH9tg8J2B+Lw7cGmXUnYw3pViamgRWiJBQY8BMnTmTMmDH873//Y86cOXz99df4+RX2sgqiJK1c6ZqJ7swZDZGRTt56K5sOHeSMhzLrwOsAZNV41sOFlF6WygOxBd+J01DJ6y68I8S/VeBR9FarldatW6OqKqGhoTz99NNs2LChJGoThXT+vMLQoT7cf7+JCxcUxoyxsH59poR7GaZL2QIXXeds2wObeLqcUs3pU1nCXYjrKDDgNRrXImazmcOHD5OcnMzZs2fdXpgonH070nlj9Ep2/naR5s0drFmTxfjx5ecIeU3WMfwPPQ2Xt3m6lGJlOjEVgMwa4zxciRCirCpwiL5bt24kJycTGxvLoEGDcDqdPPnkk4Xa+Pr165kyZQpOp5P+/fsTGxub5/nXX3+dLVu2AJCTk8Ply5fZvn07AA0aNKBu3boAVK5cmQ8//LBIDSsPdMmbuPV0LPNGnsKparBV7IDFPBiLo3u5mFdbl7oN864BaGyX4ezn+NZ6mezqT4Fy7XUTyhJt+l6Ml1ZASDvswTIltBDi5tww4J1OJ61btyY4OJg777yTrVu3YrFY8kxdmx+Hw8GkSZOYO3cuYWFh9OvXj5iYmNzz6QHGjx+fe/vLL7/k4MGDufd9fHxYsiSfiSzKO6cd04m3MB1/C6cJvt8bS892uzAmrcaYtBqnLhBLWB9ybhmM3dzSKw86MlyMI3DfUFCtZFV/GlPCN/gfnYjh8mrSG87G6VPF0yXeNNOJ6a4bt93cnOtCCAEFDNFrNBpeeunqHxm9Xl+ocAfYu3cvkZGRREREYDAY6NatG6tXr853+bi4OLp3717IsssvTfZJgrZ3we/4G1zOiaD9a+u4XPNdUlqsJumOHWRVfxZVG4Dv2c8I3nYPwb9HYzr+FprseE+XXmx84j8mcM8QQCGt8Xwy67wKXfdiCemOIXkDwZtaY0hY6ukyb4o280+MCYuxBTSByvd4uhwhRBlW4D74WrVqcebMmSJvOCEhgfDwq9NqhoWFkZCQcN1lz549y5kzZ2jVqlXuYxaLhT59+jBgwABWrVpV5Nf3Rsbz3xK8uS361C1kVOxLkxd2cSztDrp3twPg8KtDZp1XSGq3n5ToJeSED0Cbcw6/Y5OpsLEh5h094PgX4Mj0cEtukurE789XCDj8LKqhIinNlmMN+Y/rOWNF0hp/TXqDd1GcFsx778f/4JNlrq2+J99BQXUdOe+FIy9CiJJT4D74pKQkevbsSdOmTfPMQT9jxowbrqeq1553reTzBysuLo7OnTvnueb82rVrCQsLIz4+noceeoi6detSrVq1fF8vONiETlf8+15DQkrBFJe2NNj2OJz80nUd8Faf89nyBzibqPDaa3DLLdepMbQn1O/pWvf0QpTjn2NIXAeb1xGi84dq/aDGwxDaDpQCv+d5nsMCm4fCqXkQUAdNh58J9q+ZZ5GQ0EAIfQpq3gO/DcL37Gf4pm+CO+ZBhTIw8UnmKTi/AALrY75tMFBKfv+KmTe2CbyzXd7YJvDedv1ToQ6y69atW5E3HB4ezoULF3LvJyQkEBp6/UszLl++nAkTJuR5LCwsDICIiAhatGjBwYMHbxjwyclZRa6xICEhASQmphf7dotCl7qNwH3D0GafxBYYTVqjT7D71OLdd1UMBujTJ5PExBtNYqNA4ABoMgBN1nEqpi7CcfRztMc/g+Of4fCJJOeW+8ipPAinqeYNtuM5ii2FwD33Y0hej83cgtQm36BmV4Tsq59N3s+qKjRdhd+fEzGdfh91RSsya090XYmtFH+Z8T/8Or6qnbSIMVguZZaK37/i5o1tAu9slze2CbyvXTf6slJgwN9777039aKNGjXi5MmTxMfHExYWRlxcHNOmTbtmuePHj5OWlkZUVFTuY6mpqfj6+mIwGEhKSmLnzp0MHz78puoos1QHphPTMR1/HVQnmTXGklXzRdDo+XWNlmPHNAwcaCMkpPAz1DlNNSHyVZLCn0Gf/Bs+5+dhTPgBv+Nv4nf8TaxBd2C5ZTCWsN6oukA3Nq7wNDlnMO/qhy7jIJbQHqQ1nFO4MwQ0RjLr/Q9rxY4EHngM/z9fwnB5FekNPyqVV2RTLBfxOfsFDp9ILOH9PV2OEMILFBjwTz755HWH1gsaotfpdEyYMIHhw4fjcDjo27cvderUYcaMGTRs2JCOHV1XgIqLi6Nr1655XuPYsWO88sorKIqCqqo8+uijeY6+93aa7HgC9sdiSPkNh7EK6Q1nY6vQLvf5jz82ADB8+E1eNEbRYKvQDluFdqTXexvjxaX4nJ+PIWkdhpTf8T88DktoD7IjHsUe1LI4mnRTtOn7Me/qh9ZyjqyIEWTWe6PIp8DZKnUiqfUmAg6MwnhpBcGbWpN+2wdYQ7q4qeqbYzr9Poozx3XFOJm0RQhRDBT1ejvL/2bx4sW5ty0WCytWrKBWrVq8/PLLbi+uKNwx5OKJoRxDwmICDj6Fxp6CJbQX6bfOQNVXyH3+2DGF1q39adHCzrJl2UXe/o3apMk+jc/5Bfic+xpt9gkArBU6kFnrRexBra67jrvoL/9K4N770djTyKgzhezIx2940FmBn5Wq4hM/G/8/X0ZxWsiuOpyMulNKxXwBii2ZChsaompNJLXdB1ofwPuGEsE72wTe2S5vbBN4X7uKdYi+T58+jBw58t9XJfKyZ+B/5Hl8z32JqjGRfut75NzywDWh9sknrt77o4/air0Ep281smo+R1aNceiTN2I6MRVD0loMSWtdQV/zhRKZeMV4fgEBB0YDCmmNPsUS3u/fb1RRyKk2AltwWwL3D8P3zBz0yRtJa/QpjoCG/377/4Jv/Gw0jnQyaj6fG+5CCPFvFfmII0VRbuq0OZE/XepOgre0w/fcl9gCmpDcagM5VR68JtzT02H+fD2VKzvp2tXuvoIUBVuFdqQ2XUJy85VYK3TAkLSW4O2dMe/ogT75d/e8rqrie2IagftjUbV+pEb/UDzh/jeOgNtIbrGW7IhYdJmHCd7aAd/Ts+DGA1nuY8/A9/QHOHVB5FR9xDM1CCG8UpH2wauqypEjR2jdWqbPLBaqE99TM/E7OglFtZMV+RSZtf8LGsN1F1+wQE9mpsJTT1nRl9BuWntQK1KbLkGXsgW/4//DcHkNhqR1WIPvJKvmC9gqtC2eF3La8T8yDt8zn+DwqUpq1Pc4/BsUz7b/SetLRv2pWCt2JODAKPyPPI/+8mrSb5uFaghxz2vmw/fsZ2hsyWTWfBFVVz5O3RFClIwCA75Dhw65t7VaLUOHDqVJE7m61b+lyTlHwIERGJLW4TCEk97wI2wVO+S7vNMJc+YYMBpV7r+/+IfnC2IPaklq9A9Xgv4NDJdXY9ixHmtwuytB367gjeTHkUng3qEYL/2E3b8RqVHfua4Q5mbWkC4ktd5M4IERGC+tRL+pFWm3fYit0t1uf20AnBZ8T87EqfUnu9qIknlNIUS54bbT5ET+DBeXEXBwNBpbMpaQrqTf+j6qoeIN11mzRsuJExoGDbJRqZKHhpP5K+gXo0vZiun4mxgv/4JhxwaswW1dQR/crkgzsCnWRMy7BqBP24G1QgfSGn9ZoqfoqcYwUqMW4Xv6A/z+nEjQrr5kVRtFZu2Jbt8f7nNuHlrrBbIin8pzIKUQQhSHAvfBDxo0iNTU1Nz7KSkpDBkyxK1FeS1HFv4Hx2DeMxjFkU16/emkNZ5fYLhDMZwaV8zsQS1Ii/6e5BZrsFS6B0PyRoJ2dMe8vQv6pHWF2qetzTxK8NZO6NN2kFN5MKlR33nm/HtFQ3bk4yS3XIPdry6m0x8QvDXGdU12d+2bd9oxnXwHVWN0TcAjhBDFrMCAz8rKwmw2594PCgoiIyPDrUV5JVXFvHsQvmc/xe7fkOSW68iJGF6o3u6ff2pYu1ZHq1Z2GjVylkCxhWc3NyMt6rsrQd8ZQ8rvBO3oQdD2/6C//Gu+AalL2UrQtrvRZp8gs8ZzpN82y+PnfzsCbie55XqyqwxFl7Gf4G13U2FjQ/yOjL8S9sX33hsTvkebfZKcWx4olRPvCCHKvgID3ul0kpV1dRrYzMxMHA6HW4vyRoZLK3NPN0tusaZIB5B98okr+NxxalxxcQX9QpJb/Iql0n/Qp2wiaGdPgrZ3Rn95TZ6gN1yMI2hHDxR7CukNZpJV++XSc2EVrYmMW98lpemP5FS+D8Wehun0e66w33Arfoefc51FoP6L/wOqE9OJaaiK1jWxjRBCuEGB++C7d+/O0KFDGTRoEADz58+nfB+BhQAAHq9JREFUZ8+ebi/Mq6gO/I6+goqGjHr/K9K+3bQ019Hzt9zipEsXN54aV0zs5mjSor5Fl7bLtY8+cTlBO3tjM7cgs9aLaLOO4394HGh8SGs8/+rV4EoZW4X22Cq0B6cFw+VfMVxcgvHiMkzxH2KK/xCHIQxraA8sYb2xBd0BmgL/K+UyJC5Hl3nYNf+/b6QbWyGEKM8K/Ks0YsQIQkNDWbNmDaqqct9999G7d++SqM1rGM8vQJdxkOxb7sfhf2uR1p0/X09WlsIzz1jRFT5DPM4eGEVakwXo0nZfCfo4gna6Dth0GkJIbbIQu7kMXOFNY8Qa0hlrSGcyGsxAn7weY8ISjBd/xPfMHHzPzMGpr4QltCeWsF7YgtveeFeDqmI68TYqClnVnym5dgghyp0Cp6otK0rtVLWOHCr8Ho3GmkhSm104faoWflUHtGrlR0KCwq5dmVSs+O8/Kk9N06hL24PpxNtoLOdJazgHp6lGsW6/xNvltKNP+Q1jwg8YL/6IxnrR9bC+ApaQ7q6wr9D+mjkN9JfXELSzN5bQXqQ1/vL/27v7uKrr+//jj3NFgiIQIjgl04GZaeqW2i9J18GL7w3UTLCbfdltzum4fdOyrObvV2tuczPNtTkrv6ateevbhc4ys4nNlaaINcipo6btVikGJUdDIEERzjmf3x98OYu4PMDhXPC8/2PnfC54vficeJ7P5/25aPVHhNotNSE0e4LQ7CsUe4LQ66u1W9W2OQZ/7733UlFR4XldXl7Offdp3LC9wos3Y6kp4XLif3kV7gD79lk4c8ZMRkZdl4S7Pzn7juar0S9SMX5fl4e7X5it1F09marr11E26V9UfHcPlxOzMUxhhH/xP0QfyyD2YBKRH/4XYeffBPcVACJOPwHApSEP+rN6EekB2jzoW1xcTHR0tOd1TEwMn332mU+LChWmunIiTj+B2xrNpSHeH45tuDRu4cLAPblOAJOFuqtT6u/qd91arJUF9Xv2jl30Ovsyvc6+jNsSSd3VtxJWnkdt7BScfXWzKBHxrTYD3uVy4XK5sFjqH9NZV1dHbW1gXIsd6CKK1mF2VlCV/CsMW4xXy/7rX2YOHrRyyy1ORo4MrEvjpBUmM87om3FG30z1sMewfvX3+jF7xy6uOr8HgEtDHvJzkSLSE7QZ8CkpKSxbtowf/OAHADz//PNMmjTJ54UFO3NNCeGfbcTVaxCXE72/DWnDpXGLFmnvPWiZzDijxuGMGkd18q+wfnUMk7OSuphb/F2ZiPQAbQb8Aw88wKZNm1izZg1Qf2/6CRMm+LywYBfx6WOY3Feo/vZPvb7laWUlbN9uY9AgN//xH4F/aZy0g8kUHFcNiEjIaPMkO5vNxj333MOGDRuYOnUqb7zxBo888kh31Ba0LFUn6PXFyzj7jODKgHleL//yy/WXxi1YUBdUl8aJiEjgaDU+nE4n+/fvZ8eOHRw/fhyn08lzzz2np8m1offHv8CEu/6BJSaLV8u6XPDcc2GEhxt8//s610FERDqmxT341atX873vfY9t27YxY8YMDh48SFRUlMK9Dbbyw1z15V+ojUmhtt90r5d/6y0Ln31mJjOzjhjvzssTERHxaHEPfuvWrYwdO5bs7GxuvvlmAEyBcr/wQGUY9P54BQDVyb/s0P3V//3UOJ1cJyIiHddiwOfl5fHnP/+ZtWvXUllZyezZs/WQmTaEnfsztsr3udL/dpxR47xe/qOPzBw6ZOXWW51cf70ujRMRkY5r8RB93759ycrK4rXXXmPDhg1UVlZSU1NDVlYW27Zt684ag4PbSe9PfoFhslCdtKJDq/jDH3RpnIiIdI02z6IHGD58OI8++iiHDh0iKyuLffv2+bquoNPri//BeukTagb+EFfvZK+Xr6iAV16xcc01bqZN06VxIiLSOV5dhGWz2UhLSyMtLc1X9QQnVzURn67GMEdQPfT/dWgVL71k4/JlEz/60RUs3p14LyIi0kS79uCldRFnNmCpdXBp8D0YV8V7vbzLBX/8YxgREQb/+Z86PC8iIp2ngO8kU+2XhBetx23rx+Vrl3ZoHXv3WikuNjN3bh1fe66PiIhIhyngOyni1FrMrotUD12OYe3boXXo5DoREelqCvhOMF86TXjJc7jCr6Vm0I86tI4TJ8zk5VmZNMnJddfp0jgREekaCvhO6P3przAZdfWXxZnDOrSOhqfG/fjHui2tiIh0HQV8B1m/Ok6v0lepixzLlfg5HVrHhQvw6qs2Bg92M2WKbiIkIiJdRwHfQb0//jnQcEvajv0aX3opjMuXTSxcWKtL40REpEv59GGkubm5rFq1Crfbzdy5c8nOzm40/bHHHiM/Px+AmpoaysrKOHLkCAA7d+5k48aNANx9993ccccdvizVK7ay/YRdeIfaWDt1sd/r0DqcTtiyxUZEhMFdd+nkOhER6Vo+C3iXy8XKlSvZsmUL8fHxZGZmYrfbSUpK8szz9efKv/DCC5w4cQKAiooKnn76aXbs2IHJZGLOnDnY7XaioqJ8VW77GW7P3ntV8soOr+Yvf7FSUmJmwYJaAqEtEREJLT47RF9YWMjgwYNJTEwkLCyM9PT0Vm9xm5OTw4wZM4D6B91MnDiR6OhooqKimDhxIocOHfJVqV65qvRVbBf/QU3Cnbgib+zwehoujVu4UHvvIiLS9Xy2B+9wOEhISPC8jo+Pp7CwsNl5P//8c0pKSjyPpW1uWYfD0erPi4mJwGrt+oHsuLjIf79wXYF3fw3mMHqNf5xefSJbXrAV//gHvPsuTJsGEyf27qJK269RTyEkFPtST8EjFPsKxZ4gdPv6Jp8FvGEYTd5r6XnyOTk5TJ8+Hcv/nmnmzbINyssvdaDK1sXFRXL+/EXP6/DP/ps+1UVcumYx1Zdj4fLFVpZu2W9+cxUQxvz5lzh/vnvPnv9mT6EiFPtST8EjFPsKxZ4g9Ppq7cuKzw7RJyQkUFpa6nntcDjo379/s/Pu2bOH9PT0Di3bXUx1lUScWovb2pdLQ37S4fWUlZnYscPGtde6SU3VpXEiIuIbPgv4UaNGUVRURHFxMbW1teTk5GC325vMd+rUKb766ivGjh3reS8lJYW8vDwqKyuprKwkLy+PlJQUX5XaLuFnnsRcd4HL196PERbb4fW89JKNmhoTixbVYtZFiiIi4iM+O0RvtVpZsWIFixYtwuVykZGRQXJyMuvXr2fkyJGkpqYC9Yfn09LSGh2Cj46OZvHixWRmZgKwZMkSov34FBbzlVIizmzAFZbApWvu7vB6nE744x9t9O5tMG+eTq4TERHf8el18JMnT2by5MmN3rvvvvsavb733nubXTYzM9MT8P4W8ekaTO5LXPr2GrB0/KS4N9+08sUXZhYurKVvx55LIyIi0i46SNwGS/XH9PrieZy9h1Hzre93al3PP99waZzuOy8iIr6lgG9D709+iclwUZ30CzB3/IBHbS0UFFgYMcJFUlLTqwRERES6kgK+Neff46pzb1AXNYHauPS2529FYaGZmhoTEybozHkREfE9n47BBzXDgH/8X+B/b0nbxnX4bcnPr7/GXwEvIiLdQXvwLQj78i9w/hBX4tJwxvyfTq+voEABLyIi3UcB35yGB8qYzPVj751dnVEf8IMGuRk4UOPvIiLiewr45rguYa4pgaS7cfUZ3unVffqpibIyM+PHa+9dRES6h8bgm2Ptw4VJ/6JfQgJ8Wd3p1eXn1/+aFfAiItJdtAffAsMaCaau+fVo/F1ERLqbAr4b5Odb6NvXYPhwt79LERGRHkIB72Pnzpk4dcrMTTe5sHT94+pFRESapYD3MR2eFxERf1DA+5hucCMiIv6ggPex99+3YLMZjBmjgBcRke6jgPeh6ur6e9DfeKObiAh/VyMiIj2JAt6Hjh2z4HSadP27iIh0OwW8D2n8XURE/EUB70MNZ9BrD15ERLqbAt5HXK76E+y+/W03/frpATMiItK9FPA+cuKEmaoqExMmOP1dioiI9EAKeB/RDW5ERMSfFPA+ooAXERF/UsD7gGHA3/5moV8/N0OGaPxdRES6nwLeB0pKTJw9a2b8eBcmk7+rERGRnkgB7wO6/l1ERPxNAe8DGn8XERF/U8D7QH6+hfBwg1Gj3P4uRUREeigFfBerqICPPjLzne+4sNn8XY2IiPRUCvguduSIBcMw6fC8iIj4lQK+i+n+8yIiEgisvlx5bm4uq1atwu12M3fuXLKzs5vMs2fPHp5++mlMJhPDhw/nt7/9LQDXX389w4YNA2DAgAE888wzviy1y+TnWzCbDcaNU8CLiIj/+CzgXS4XK1euZMuWLcTHx5OZmYndbicpKckzT1FREZs3b2br1q1ERUVRVlbmmdarVy927drlq/J84sqV+mfAX3+9m8hIf1cjIiI9mc8O0RcWFjJ48GASExMJCwsjPT2dffv2NZpn+/btZGVlERUVBUBsbKyvyukWhYVmamo0/i4iIv7nsz14h8NBQkKC53V8fDyFhYWN5ikqKgJg3rx5uN1u7rnnHiZNmgTAlStXmDNnDlarlezsbKZMmdLqz4uJicBqtXRtE0BcXPt3xU+cqP936tQw4uLCuryWruJNT8EkFPtST8EjFPsKxZ4gdPv6Jp8FvGE0vQe76Rv3bXW5XJw5c4YXXniB0tJSsrKy2L17N3379uWdd94hPj6e4uJi5s+fz7Bhw7jmmmta/Hnl5Ze6vIe4uEjOn7/Y7vn37esF2Lj++irOnw/Me9B721OwCMW+1FPwCMW+QrEnCL2+Wvuy4rND9AkJCZSWlnpeOxwO+vfv32ie+Ph4UlNTsdlsJCYmMmTIEM9efXx8PACJiYmMHz+eEw27xwHKMOrPoB80yM23vhWY4S4iIj2HzwJ+1KhRFBUVUVxcTG1tLTk5Odjt9kbzTJkyhfz8fAAuXLhAUVERiYmJVFZWUltb63n/6NGjjU7OC0SffGLmwgWzLo8TEZGA4LND9FarlRUrVrBo0SJcLhcZGRkkJyezfv16Ro4cSWpqKrfeeiuHDx8mLS0Ni8XC8uXLiYmJ4ejRo/z85z/HZDJhGAY//vGPAz7gdf95EREJJCajucHyIOSLMRVvxmqWLu3Ftm02DhyoZsSIwL0HfaiNPzUIxb7UU/AIxb5CsScIvb78Mgbf0+TnW+jb12D48MANdxER6TkU8F3g3DkTp0+bGTfOhVm/URERCQCKoy6g8XcREQk0CvgukJ+vgBcRkcCigO8CBQUWbDaDMWMU8CIiEhgU8J1UXV1/D/obb3QTHu7vakREROop4Dvp2DELLpceMCMiIoFFAd9JGn8XEZFApIDvpIaAHzdOAS8iIoFDAd8JLhccOWIhKclFv34hcUNAEREJEQr4TjhxwkxVlcbfRUQk8CjgO0E3uBERkUClgO+EhvF3PSJWREQCjQK+gwyjPuD79XMzZIjG30VEJLAo4DuopMTE2bNmJkxwYTL5uxoREZHGFPAdpOvfRUQkkCngO0gBLyIigUwB30EFBRYiIgxGjnT7uxQREZEmFPAdUFEBH31k5jvfcWGz+bsaERGRphTwHXDkiAXDMOnyOBERCVgK+A7Q+LuIiAQ6BXwH5OdbMJsNbrpJAS8iIoFJAe+lK1fg+HELI0a4iYz0dzUiIiLNU8B7qbDQTE2NHjAjIiKBTQHvJY2/i4hIMFDAe6nhCXI6g15ERAKZAt4LhlEf8ImJbr71LT1gRkREApcC3guffGLmwgWz9t5FRCTgKeC9oPF3EREJFgp4LzQEvPbgRUQk0Pk04HNzc5k+fTpTp05l8+bNzc6zZ88e0tLSSE9P58EHH/S8v3PnTqZNm8a0adPYuXOnL8tst4ICC337GgwfrgfMiIhIYLP6asUul4uVK1eyZcsW4uPjyczMxG63k5SU5JmnqKiIzZs3s3XrVqKioigrKwOgoqKCp59+mh07dmAymZgzZw52u52oqChfldsmh8PE6dNmpkxxYtZxDxERCXA+i6rCwkIGDx5MYmIiYWFhpKens2/fvkbzbN++naysLE9wx8bGApCXl8fEiROJjo4mKiqKiRMncujQIV+V2i4Nl8dp/F1ERIKBzwLe4XCQkJDgeR0fH4/D4Wg0T1FREadPn2bevHnceeed5ObmtnvZ7qaAFxGRYOKzQ/SG0fQ6cZPJ1Oi1y+XizJkzvPDCC5SWlpKVlcXu3bvbtew3xcREYLVaOld0M+Li6m84f/Qo2GwwZUoE4eFd/mO6VUNPoSYU+1JPwSMU+wrFniB0+/omnwV8QkICpaWlntcOh4P+/fs3mic+Pp4xY8Zgs9lITExkyJAhFBUVkZCQQEFBQaNlx48f3+rPKy+/1LUNUP8hOH/+ItXVcPRoH8aOdVNVdYmqqi7/Ud2moadQE4p9qafgEYp9hWJPEHp9tfZlxWeH6EeNGkVRURHFxcXU1taSk5OD3W5vNM+UKVPIz88H4MKFCxQVFZGYmEhKSgp5eXlUVlZSWVlJXl4eKSkpviq1TUePWnC59IAZEREJHj7bg7daraxYsYJFixbhcrnIyMggOTmZ9evXM3LkSFJTU7n11ls5fPgwaWlpWCwWli9fTkxMDACLFy8mMzMTgCVLlhAdHe2rUtv07xvcOP1Wg4iIiDdMRnMD3kHIF4dcGg7l3HlnOAcOWDl5sorY2OD+dYXa4akGodiXegoeodhXKPYEodeXXw7RhwqnE95/30Jysivow11ERHoOBXwbTp40U12t8XcREQkuCvg26P7zIiISjBTwbVDAi4hIMFLAt8Iw6gM+Ls7NkCEafxcRkeChgG/FmTNQWmpmwgQXbdxIT0REJKAo4FuRl1f/r06wExGRYKOAb0VDwGv8XUREgo0CvhWHD0NEhMHIkW5/lyIiIuIVBXwLKirgww/hu991YbP5uxoRERHvKOBb8P77ujxORESClwK+Bbr+XUREgpkCvgUFBRbMZrjpJgW8iIgEHwV8M65cgWPHLIweDZEtP6hHREQkYCngm+FyQUQEzJnj70pEREQ6xurvAgJRRAT8859VDBgQyfnz/q5GRETEe9qDb4FVX31ERCSIKeBFRERCkAJeREQkBCngRUREQpACXkREJAQp4EVEREKQAl5ERCQEKeBFRERCkAJeREQkBCngRUREQpACXkREJAQp4EVEREKQyTAMw99FiIiISNfSHryIiEgIUsCLiIiEIAW8iIhICFLAi4iIhCAFvIiISAhSwIuIiIQgq78L8Lfc3FxWrVqF2+1m7ty5ZGdnN5peW1vL8uXL+ec//0l0dDTr1q1j0KBBfqq2fc6ePcvy5cv58ssvMZvN3HnnncyfP7/RPPn5+SxevNjTy9SpU7nnnnv8UW672e12evfujdlsxmKx8NprrzWabhgGq1at4uDBg/Tq1Ys1a9Zwww03+Kna9jl16hTLli3zvC4uLmbp0qX88Ic/9LwXDNvq4Ycf5sCBA8TGxrJ7924AKioqWLZsGZ9//jkDBw7k97//PVFRUU2W3blzJxs3bgTg7rvv5o477ujW2lvTXF+PP/4477zzDjabjWuuuYbVq1fTt2/fJsu29Xn1l+Z6euqpp9i+fTtXX301AA888ACTJ09usmxbfy/9pbme7r//fk6fPg3AxYsXiYyMZNeuXU2WDdTt1CWMHszpdBqpqanGZ599Zly5csWYOXOm8fHHHzea58UXXzR+9rOfGYZhGLt37zbuu+8+f5TqFYfDYXz44YeGYRjGxYsXjWnTpjXp629/+5uRnZ3tj/I67LbbbjPKyspanH7gwAFj4cKFhtvtNo4dO2ZkZmZ2Y3Wd53Q6jVtuucUoKSlp9H4wbKuCggLjww8/NNLT0z3vPf7448amTZsMwzCMTZs2GWvXrm2yXHl5uWG3243y8nKjoqLCsNvtRkVFRbfV3Zbm+jp06JBRV1dnGIZhrF27ttm+DKPtz6u/NNfTk08+afzhD39odbn2/L30l+Z6+rrVq1cbTz31VLPTAnU7dYUefYi+sLCQwYMHk5iYSFhYGOnp6ezbt6/RPPv37/fsUUyfPp333nsPI8DvDdS/f3/PnmufPn0YOnQoDofDz1X53r59+5g9ezYmk4kxY8bw1Vdfce7cOX+X1W7vvfceiYmJDBw40N+leG3cuHFN9s4btgfA7Nmzefvtt5ssl5eXx8SJE4mOjiYqKoqJEydy6NChbqm5PZrrKyUlBau1/uDnmDFjKC0t9UdpHdZcT+3Rnr+X/tJaT4Zh8OabbzJjxoxursr/enTAOxwOEhISPK/j4+ObBKHD4WDAgAEAWK1WIiMjKS8v79Y6O6OkpISTJ08yevToJtOOHz/OrFmzWLRoER9//LEfqvPewoULmTNnDn/605+aTPvm9kxISAiqLzY5OTkt/hEKxm1VVlZG//79gfovnRcuXGgyT3v+HwxkO3bsYNKkSS1Ob+3zGmheeuklZs6cycMPP0xlZWWT6cG6rY4cOUJsbCzXXntti/ME03byRo8eg29uT9xkMnk9T6Cqrq5m6dKlPPLII/Tp06fRtBtuuIH9+/fTu3dvDh48yJIlS/jrX//qp0rbZ+vWrcTHx1NWVsaCBQsYOnQo48aN80wP5m1VW1vL/v37efDBB5tMC8Zt1V7BvM02btyIxWJh1qxZzU5v6/MaSO666y4WL16MyWRi/fr1rFmzhtWrVzeaJ1i31e7du1vdew+m7eStHr0Hn5CQ0OjwmsPh8OxxfH2es2fPAuB0Orl48SLR0dHdWmdH1NXVsXTpUmbOnMm0adOaTO/Tpw+9e/cGYPLkyTidzmb3sAJJfHw8ALGxsUydOpXCwsJG07+5PUtLS5tsz0CVm5vLDTfcQL9+/ZpMC8ZtBfXbqWGI5Ny5c54TuL6uPf8PBqKdO3dy4MABnnjiiRZDrq3PayDp168fFosFs9nM3Llz+eCDD5rME4zbyul08tZbb5GWltbiPMG0nbzVowN+1KhRFBUVUVxcTG1tLTk5Odjt9kbz2O12du7cCcDevXu5+eabA/5bq2EY/PSnP2Xo0KEsWLCg2XnOnz/v+UZeWFiI2+0mJiamO8v0yqVLl6iqqvL89+HDh0lOTm40j91u5/XXX8cwDI4fP05kZGTA/wFqkJOTQ3p6erPTgm1bNWjYHgCvv/46qampTeZJSUkhLy+PyspKKisrycvLIyUlpbtL9Upubi7PPvssGzduJDw8vNl52vN5DSRfP1fl7bffbrbW9vy9DDTvvvsuQ4cObTS08HXBtp281aMP0VutVlasWMGiRYtwuVxkZGSQnJzM+vXrGTlyJKmpqWRmZvKTn/yEqVOnEhUVxbp16/xddpv+/ve/s2vXLoYNG8btt98O1F/28sUXXwD1h+P27t3L1q1bsVgs9OrVi9/97ncB/cWlrKyMJUuWAOByuZgxYwaTJk1i69atQH1PkydP5uDBg0ydOpXw8HAee+wxf5bcbpcvX+bdd99l5cqVnve+3lcwbKsHHniAgoICysvLmTRpEvfeey/Z2dncf//9vPrqqwwYMID169cD8MEHH7Bt2zZWrVpFdHQ0ixcvJjMzE4AlS5YE1BGy5vravHkztbW1ni/Po0ePZuXKlTgcDh599FGeffbZFj+vgaC5ngoKCvjoo48AGDhwoOez+PWeWvp7GQia62nu3Lns2bOnyRfnYNlOXUGPixUREQlBPfoQvYiISKhSwIuIiIQgBbyIiEgIUsCLiIiEIAW8iIhICOrRl8mJSD273U5YWBhXXXWV570NGzZ06ZMTS0pKyMjIID8/v8vWKSItU8CLCABPPvkkw4YN83cZItJFdIheRFp03XXX8dRTTzFv3jymT5/O3r17PdNyc3OZPXs2M2fOZP78+Zw5c8Yz7dVXX2XWrFnMmjWLjIwMvvzyS8+0devWMXv2bKZPn86RI0e6tR+RnkR78CICwNKlSz2H6C0WC6+99hpQ/0CRbdu2cerUKe666y5uuukmAJYvX86LL75IUlISr7zyCg899BCvvPIK+fn5bNq0iZdffpm4uDiqq6uxWq3U1NRQUVHBmDFjWLZsGW+88QZPPPEE27Zt81vPIqFMAS8iQMuH6OfOnQvA0KFDGTFiBMePH8dkMjF8+HCSkpIAyMjI4Je//CVVVVUcOHCA22+/nbi4OADPg3IAIiIiuO2224D6Z6k//vjjvm5LpMfSIXoRaTfDMDCZTJ5/vRUWFub5b7PZjNPp7MryRORrFPAi0qodO3YAUFRUxMmTJxk9ejRjx47l5MmTfPrpp0D941NHjBhBnz59uO2229i1a5dn3L26upra2lq/1S/SU+kQvYgAjcfgAX79618D9Xvd8+bNo7y8nJUrVxIbGwvA2rVreeihh3A6nVx99dX85je/AWD8+PFkZ2ezYMECTCYTYWFhPPPMM93fkEgPp6fJiUiLrrvuOo4ePdpoHF1EgoMO0YuIiIQg7cGLiIiEIO3Bi4iIhCAFvIiISAhSwIuIiIQgBbyIiEgIUsCLiIiEIAW8iIhICPr/YUdMtB01RsAAAAAASUVORK5CYII=\n", + "text/plain": [ + "<Figure size 576x396 with 1 Axes>" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "<Figure size 576x396 with 1 Axes>" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "<Figure size 576x396 with 1 Axes>" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# hidR = 128 * 2, layerR = 1, hidC = 128 * 2, dropout = 0.5, l2 = 0.001\n", + "# ROC: 0.84904,0.85640, 0.85133\n", + "plot(history)\n", + "print(\"Best ROC AUC\",history['roc'].max())\n", + "print(\"Best Acc\", history['valid_acc'].max())\n", + "print(\"----Best Epoch:\")\n", + "print(history.loc[history['roc'].idxmax(), :])\n", + "print(\"----\")" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Best ROC AUC 0.867899209780826\n", + "Best Acc 0.8314692974090576\n", + "----Best Epoch:\n", + "train_loss 0.194005\n", + "valid_loss 0.436638\n", + "train_acc 0.920777\n", + "valid_acc 0.831469\n", + "train_roc 0.966008\n", + "roc 0.867899\n", + "Name: 11, dtype: float64\n", + "----\n" + ] + }, + { + "data": { + "image/png": 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8X79+fPbZZwwePJitW7cSFhbml/7wp5928vTTFUu4cPINLKz2dktjsViLb6emHmTu3C94//1PCAsLY8qUp3C5XGe85vSBcDqdDq/XG7D4hBC1V34+HDyo4+BBHampyonbCqmpvsfy808mmTAsFg2LBcxm37XVWvI+lEzMJW+fStJeb/X2BhRFIzT0ZHL3JXirVUNRfMldUShx23etFT9utYLbbUGnO7WMXs+J+1rxY7m5SnGiPnq09GwaHu5rFfZ4fDsovuvSy2izadSrp9GypUp0tHbGpV49jYsu8lZrR6UyApbEH330UdavX092dja9e/fmgQcewOPxADBy5Ej69OnDypUrufzyy7FarcyYMSNQoQSNwsJCbDYbISEhHDt2jPXrf6Vr1+41HZYQ5wWvFwoKIC9PIS9PIT9fIT+/5P3CQoiIAI/HhNWqYTafSnJms+++1eq7Xa+eRqNGvhpboB07prB9u+7ERc+ePb4knZNz9mRjs2kkJqon4jOQl+fB4VBwOCi+zsvT4XT6moQ17dR6zGYNk+lUeUNCIDpaLfGY2QwmU8nbFkvJx4xGDZfr5HsLBQWn3nPftS+5pqSAx1PZHYPyj/gBXzyNGmn07OmhcWON+HiVxo01GjdWadzY9/5YrWe+TtNOJfRTyV0hJOTUDk+wCNjXb+bMmWU+rygKkyefXyOyW7e+gGbNmvGPf9xIo0bxtGvXoaZDEqJOstth/Xo9q1bpWb3awF9/6SgsrEyiMFdoKb1eIz5eIyFBpUmTk9e+202aqMTGaugrcaZJVYX9+xW2b9cXJ+zt23Wkp5es1lksvm117nzmNhMSfDXCk83nvtZGe6nb1DRfrRvAZMJvze4VpWm+RKlpvouqnro++fzpj9WrF8bRowUlHvN6fdcnH/N6FcLDNWJitCrViE9vXj8tUn8U1+8U7WwjzIKYv/uq6kr/10lSnuAm5QkMrxe2btWxapWB1av1rF+vx+n0ZSOjUSMpSSUy0tcnGxrqa0IND/c15fquffdDQiA01EZGRhF2+6n+XoejZH+v3a6QmakUN12npyslarMnGY0aDRr4ausnm391Ou2M5mKdzpd89u07c2ejYUOVdu1U2rb1ctFFvuvExIonp2D5jPzlfCxPUPaJCyFqD1WFgwcVdu3SsXu3np07dezerePwYWjc2Ebr1ioXXKBywQVeWrf21QorkmQKC32Ja+/eU5fMTF+zZViYL+GGhmqEhvoSru/a97jJpLFli6+2/csvBnJzTyW/tm299OrlpU8fD127egkJqXhZY2IgM7Ny41CcTjh8WOHAAd2J/uhT/dIZGQpu96maoqoqJ2qQymmP+ZJ4kyZqcaJu29Z3u379WlXPEueYJHEhRAn5+fDbb3p27dKxa5fv+s8/dWeMxLXZNJo0gZQUX7Pv359LSvIl9tatvVxwgYrbrZCSohQn7ZSUM5uJqyoxUeXqq9307u2lRw/vOU98ZjM0b67RvLkXkIGo4tyRJC6EKLZihZ4HHrCUGM1rMvkScuvWKm3anErKTZpoxMaGkZ5ewMGDCrt3n0r6vts6tm7Vc7ZBSIqi0bixRu/eHpo3V2nRQqV5c98lNlajqEihoMA3GMo3IOr0gVG+AWiFhQqtW6v06uUhMVFqq+L8JElcCIHTCdOnm5k1y4TRqDFunIsuXXzJulkztcwR2Ho9NGum0ayZlyuvPFUL9XjgwAGFnTv1/PmnDqOR4mTdtKla5ijf0FAN3xGnkpyFKIskcSGCjKr6asQeD3TooBIXF9hE9uefOu65x8L27XpatvQya5aD9u3LngCpIgwGaNFCo0ULjx+iFEKcjSRxIYKExwPz5hl49VUTf/55qo+5QQOV9u1V2rf30qGDSocOXho21Kp9KJCmwb//bWTSJDN2u8KoUS6mTHFWahCYEKJmSRL3g/vvH8uoUbeXmLjlv//9DwcPHmT8+P8762suv7wXP/64+lyFKIKY2w1ffWXg1VfN7Nunw2DQuOkmN4mJKlu36ti2Tc/SpQaWLj31c61f35fYO3Tw0rGjSrduHqKiKr7N48cVHnnEzA8/GImM1HjrLTtDhkiNWYjaRpK4HwwYMJBly5aUSOJLly7hvvseqsGoRLBzOuGLL4y88YaJgwd1GI0ao0a5ePBB1xkDtTIzFX7/3TdQbNs2X2JfvtzA8uW+n7CiaFx4oUqPHr7R2WUl9VWr9Nx/v4X0dB09enh46y0HjRpJ37MQtZEkcT+47LL+zJ79Di6XC5PJRFraEY4dyyQpqRUPPTSO/Pw8PB4Pd901jl69+tZ0uKKG2e3wn//4kveRIzrMZo0xY1zcf7+L+PizJ9OYGI1+/bz063dq4FhWFmzbpmfDBj2//KLnt9/07Nih5733fEn9ootOJnUP3bp5sdnguedMvPWWCb0e/vUvJ/fd56rUjGJCiOBS55J4yJ//wpwxr+Iv0CtEe8uuhThjh1HYalqpz0dERNKmzUWsW/cLvXr1ZenSJfTvfwUmk5kZM14kJCSUnJwc7r57ND179qnQKVdF3eKbjUvh3/+GF14I4ehRHTabxj33uLjvPhexsZWvCUdHQ9++Xvr29SV2hwM2b9azZo0vqW/YoGf7dj3vvmtCUXxzfR87pqNZM5VZs+wkJ1d/8JoQombVuSReUwYMGMjSpUvo1asvy5Yt4fHHJwHw7rtvsXXrZhRFR2ZmJllZx6lXr34NRysC7ehRhS1bdGzapGfzZt/l5MkqQkIUHnzQyT33uP06KYnFAt27e+ne/VRS37hRz88/+5L69u16Ro50M326g9BQv21WCFGD6lwSL2w1rcxa89/FxISR5Yd5eHv16ssbb7zC7t27cDodtG59AYsWfUdOTg4ffPAZBoOB668fetZTj4rgdfIECyfPZHTy4vEoJe4fOqRj0yZdccJOTS05E1nTpir9+nno08fIwIEFREcHPnaLheI+ciFE3VTnknhNsdlsJCd35tlnpzBgwEAACgoKiIqKwmAwsGnTBtLT02o4SlERDge8956JN980lXqqx7LUr69y+eUekpO9dOrkpWNHb3HSjokxkpnp54CFEOctSeJ+NGDAQJ58cgLPPOM7N/oVV1zFxImPMGbMKJKSWpGY2LRmAxRl0jRYtMjA5MlmDh7UER2t0r27t/gMVAaDb3YyvV47cX3qUr++RqdOXpKTvSQkVP8YbiGEqAhJ4n7Up89lrFmzofh+ZGQk77770VmXlWPEg8uOHTqeesrMmjUGDAaNu+92MX68k4iImo5MCCFKJ0lcnNeOHVN47jkTn31mRFUVBgzwMGWKg5Yt5bhpIUTwkyQuzksuF3z4oZGXXjKTl6eQlORl6lRnieOwhRAi2EkSF+cVTYOlS/VMmmQhJUVHRITG9OkORo92YzzzjJlCCBHUJImL80JuLnzzjZE5c4xs3qxHp9O4/XYX//yni3r1pOlcCFE7SRIXdZaqwurVeubMMbJokQGHQ0Gn07jiCg9PPOHkwgtlxjIhRO0mSVzUOQcOKHzxhZH//tdYPOlK8+YqN9/sYsQINw0bSs1bCFE3SBIXdUJRESxYYOCLL4ysWeP7WoeEaNx8s4uRIz1ccolXjt0WQtQ5ksRFrVVYCMuWGViwwMCSJQaKinxZunt3DyNHuhkyxCNzhAsh6jRJ4qJWyc+HJUt8iXv5cgN2uy9xN22qcu21Lm66yU2zZtJcLoQ4P0gSF0EvJwcWLzawYIGRFSv0uFy+xJ2U5GXoUA+DB3to21aV5nIhxHlHkrgISpoGK1bo+fhjWLo0FI/Hl6HbtPEl7qFDPbRuLaPLhRDnN0niIqhoGqxcqeeFF8xs2KAHoEMHlSFDPAwZ4qZFC2kqF0KIkwKaxFetWsX06dNRVZURI0YwduzYEs8fPnyYJ554gqysLCIjI3nxxReJi4sLZEgiiK1Zo+f5502sW+f7Wg4a5GbGDCONGhXVcGRCCBGcdIFasdfrZcqUKcyePZuFCxeyYMEC9uzZU2KZ559/nmHDhvHdd99x77338vLLLwcqHBHE1q7Vc911Vq67zsa6dQYGDvSwdGkhH3/soEOHmo5OCCGCV8CS+LZt20hMTCQhIQGTycTgwYNZtmxZiWVSUlLo3r07AN26dTvjeVG3/fabjuuvt3L11TbWrDHQv7+HxYsL+fRTO+3bS3+3EEKUJ2BJPCMjo0TTeGxsLBkZGSWWueCCC1i8eDEAP/74I4WFhWRnZwcqJBEEnE5fn/dNN1kZPDiEVasM9OnjYeHCQubMsZOcLMlbCCEqKmB94pp25gAk5W/HAP3zn/9k6tSpfPPNN3Tp0oXY2FgMhrJDioqyYTDo/RprTEyYX9dX04KpPJoGO3fCkiXw44/w00++2dUALrsMnnkGevUyUNZXMZjK4w9SnuBX18ok5Qlu1SlPwJJ4XFwc6enpxfczMjJo0KBBiWViY2N58803ASgsLGTJkiWEhZVdmOxs/w5yiokJIzMz36/rrEnBUJ5jxxRWr9bz008GfvpJT1raqQafVq289OnjZcgQD927+87dnZlZ+rqCoTz+JOUJfnWtTFKe4FaR8pSV5AOWxNu1a8f+/ftJTU0lNjaWhQsXnjFw7eSodJ1Ox3vvvcfw4cMDFY4IsJwcmDXLxNKlBrZtO9VSEh2tcu21bvr08dCnj5f4eDlETAgh/CVgSdxgMDBp0iTuvPNOvF4vw4cPJykpiddee422bdvSv39/1q9fz8yZM1EUhS5dujB58uRAhSMCaOFCAxMnmjl6VIfRqNGzp4e+fb306eOhXTsVXcBGXgghxPlN0c7WeR3E/N2Mcj42zfhLZqbCE0+Y+fZbI2azxoQJLsaMcRES4r9tyOcT3OpaeaDulUnKE9yCtjld1F2aBl9/beDJJ81kZem4+GIvr77qIClJRpYLIcS5JElcVEpamsKECRaWLDFgs2lMn+7gjjvc6P17wIAQQogKkCQuKkTT4PPPjUyebCY/X6FXLw8vv+ygadNa1RsjhBB1iiRxUa4DBxQefdTC6tUGwsI0Zs50cMstbjn1pxBC1DBJ4qJUHg988IGRZ581U1SkcMUVHl54wUGjRlL7FkKIYCBJXJzVli06xo+3sG2bnqgojZdesjN8uEdq30IIEUQkiYsS8vPhuefMfPCBEVVVuPFGN5MnO6lfX2rfQggRbCSJC8A3cG3hQgNPPGEmPV1HixYqL75op2dPb02HJoQQohSSxAWpqQqPP+47bMxk0pgwwcmDD7owm2s6MiGEEGWRJH4ec7vhvfeMvPiib+Baz56+gWstW0rTuRBC1AaSxM9TGzf6Bq7t2KGnXj2VF15wMGKEDFwTQojaRJL4ecbjgZdfNvHKKyZUVeGWW1w89ZST6OiajkwIIURlSRI/jxw8qDBunJXfftOTkKDyxht2Lr1UBq4JIURtJSeJPE/Mm2egX78QfvtNz7BhbpYvL5QELoQQtZzUxOu4ggJ44gkLX3xhxGbTeP11OzfeKH3fQghRF0gSr8O2bNFxzz1W9u7V0aGDl1mz7LRoISPPhRCirpDm9DpIVeHNN40MHmxj714d993nYuHCIkngQghRx0hNvI5JS4ObbrKyapWBBg1U3nzTTt++0vcthBB1kdTE6whNg/nzDbRvD6tWGbj8cg8//VR0/iRwTfNdhBDiPCJJvA44eFDhllus3Hmnlfx8mDHDwWef2c+bk5Yonnyi17QjbMdYSeRCiPOKNKfXYn+fNrVXLw8ffGAgMtJd06GdU+a0OegdB9GnHcQdeSmOxrfXdEhCCHFOSE28ltq4UccVV9h45hkLVqvGW2/Z+eorO0lJNR3ZOaapWA/OQlNMqIZIQnf/H/qCXTUdVe2meUH11HQU4nyhaaC6ajqKWkuSeC2Tlwf/939mBg2ysWOHnptvdvHzz4Xn7bznxuPLMBTtwRl3PfkXvYWi2gn//XbwOmo6tNpJ04jYdB31fkokdNd49AW7azoiUYfpnOlE/jaAequSMGX+UNPh1EqSxGsJTYPvvjPQs2cIH35oomVLlXnzinj11fN73nPrwVkA2JvcjavBUOyNx2Ao2EHoX/+q4chqJ1PmIkxZK1DUIqyp7xH968VEbByK6eh3UjsXfmXI3UTkur4Yc39DcQQfFBAAACAASURBVOcSseUGbHum+VqCRIVJEq8FDh1SGDXKypgxVrKyFCZOdLJ8edF5P22qvvAvzMd/xB3ZDU94MgAFrWbgCWmDNfU9TEcX1XCEtYzmJWTPM2joyO66htz2/8YV1QtT1koitt5C9M/tse19EcWVWdORilrOnP4/Ijdcic6ZRkHSNHK6/oTXkkjIvheI2DwcxXX83AXjKTh32woASeJBrrAQhg61sWSJgZ49PaxcWchjj7kwm2s6sqrRFe0jcn1/IjZeXe09bmvquwDYE+459aDeSl77j9B0FsL+GIfOcaRa2zifmNO+wFC4C0ejW/GGXYQrdhi5XRaS1X0d9sZ3orhzCEmZSr1VFxD2+xgMOevkaABROZqKbc80wn+/HU0xktfxC+xNH8QT3pHsbitx1r8C0/HlRK3rjSF3Y0BDUTz5hG+9lfo/JWLK/D6g2wokGZ0e5N55x8ThwzrGjnUxdaqzVvd7m44tIez3O9F5cgCwHP4MR+PbqrQuxZ2L+ch/8JrjcTYYWuI5b+iFFLSaQdiuRwnbfhe5neeDoq92/HWa10FIynQ0nZmiFv9X8qnQNhS0mUlh0tOY077Amvo+lvS5WNLnwp9tCTc1QdOHoOlD0QyhZ7kdhmYIwRPaFs1Ur4YKKGqct5Dw7XdjPjofr7UpuR2/xBvapvhpzRhNXsf/Ytv3IraUGUT+NpCCC17AEX87/v7j0xXtI2LrSAwFfwAQtn0s2V1Xodqa+XU754Ik8SCWkaHw5psm6tdXmTixFidwTS3+YaIzUZA0nZC9MwhJmYIz7lo0Q3ilV2lJ+xydt4CCZo+BznjG847GYzAdX445cwG2/a9Q1Gy8P0pSNd4izJmLMKd9CfkbCIvqhyN+NO6onn7/c6oq66HZ6B2HKEp8ENXS+KzLaIZwHAljcTS+C2P2aqyp72POXIhZ216hbWiKEWeDob6yR/cGRRoCS1DdoBiC5jvhTzp7KhFbbsJQ8DuuqJ7ktf/07Dt0io6i5hNxR3Qh/PcxhO18GGPOevLbzAS9zS+xGI//RPjvt6FzZ2NPGIsnrD1hf9xP+LZR5Fz8I+itftnOuRLQJL5q1SqmT5+OqqqMGDGCsWPHlnj+yJEjTJw4kfz8fLxeL+PHj6dPnz6BDKlWee45E0VFCs884yQsrKajqRrFnUPY9rsxH/seryWBvA6f4QlPRlEdhKRMxbb3RQpbTa3cSjUv1oPvounMOOJHl7JhhfwL38CwdhO2lOm4onrhiexa7fJUJkZj1iosaV9iOjofnfdEv5u5fnEt1mNrgSN+NI5GN6OZYs5dbH+juHOx7XsR1RBBUbNHK/ACBXd0b9zRvYmpZ+VYejqKtwDFW4jiKTjtdv6pxzzZmI8uxJLxNZaMr/Fam2KPH42j0S1o5tjAFzLIGfK2ErFxMKolAXvCPTgajvBb0qpphpx1RGy9GZ0rE3v8HRRc8ALoTGW+xl2vP9ldVxG+bRSWtP9gyP+d3A6fotqaVz0QTcOaOouQP58AdOS3eaO4JdCQuxHr4Y8I2/Uo+Re+Xat2pBRNC0ynltfrZeDAgXz00UfExsZy/fXXM3PmTFq2bFm8zFNPPUWbNm24+eab2bNnD2PHjmX58uVlrjczM9+vccbEhPl9nf6wY4eOfv1stGqlsmJFEYYK7m4FU3n0BX8QvvUWDEUpuKIvI6/dh6f2vr12on+5GJ0zjaxL16PaWpx1HWcrjynzeyK23Ii90SgKLnqrzBiMWWuK/xyzu61BM0b6pWxnpWnoC7ZjSfsCc9pc9K50ALyWRBwNb8DZ8EaiEzuR89diLIc/xpwxD0V1oilGXDGDsTe+DXf0Zee8hmrbM5WQfS9S0HIy9maPVeq1lfq+aRqG3PVYD3+MOf1rFNWOphhwxQzCHj8ad71+QVE7P9e/IcWdS9S63ujt+9AUA4rmQTVG4Yi/HXvCnaW2jJRJdWLM/sV3pEabm8ksqplDWMxHPifsj4cALwWtn8fR+K7KJUjVSeiuiVgPf4hqiCC/7XtEXHhD5T8f1UnozkewHvkM1dSA3A6fl9yp9zqI/G0gxvzNJZL7uVCR71tMTOm1uID9YrZt20ZiYiIJCQmYTCYGDx7MsmXLSiyjKAoFBb4aSn5+Pg0aNAhUOLWKpsHTT5vRNIWnn3ZWOIEHE3P610St74+hKIWipo+Q2+nrks1neisFraaiaG5C/6zc4WCnDiu7p5wlwR3dk6JmE9A7DhK68+GADMRSnBlY971C1NruRK/tge3AGyiqA3v8HWR3WUxWz60UtXwKb0grXy02qgf5bd/neO8/yW/9At6QJMxH5xG56Vqi13TAtveFczYgT3FmYDvwFl5TbIXez+ptTMET2ZX8i97heO/d5F/wMt6QCzAfnU/k5utOK3taYOMojaaheM7xDrCmEfbHA+jt+yhq+ghZPbdT2Gw8oMO2f6ZvOuFtt2HI/rXc766uaC+W1PcI3zyC+isSidx0DaF/PgELLsS67xVfc/05oriOEbJ7IuE7xqHpbeQmf40jYWzla7g6MwUXvkreRe+gqE4ittwIP/bCeuAtdPaDFVuFM53IDYOwHvkMd1gy2V1/OrNVTm8hr8O/UY1RhO4ejyFvc+XirEEBq4n/8MMPrF69munTpwMwb948tm3bxqRJk4qXOXr0KGPGjCE3Nxe73c5HH31E27Zty1yvx+PFYKjbg5S+/x4GDYLLL4fFi2tVy47vWOIt/we7XgZDKHT7GJoMP/uymgZL+0Dmaui3FOL6l7/+3D9g4UXQoA8M+KniMS3tA8d+ga4fQgs/Tst6dDWsvhacx31NhPFDoemt0Ogq0FfwEAJNg+PrYM/7cOAL8Bb5aqStHoBOMwNbO/3tPvjrbbj4HUgKcBI/G02D479ByvtwYA54Cn1jHFo/BBf9C0wR/t+m1wn5eyBvJ+TtKnnxFELDK6HdZKjfzf/b/rvdb8DGByGmF/RfDroTe+weu++7sPs1yNnqeyyqk+99SbzR993yFEHGCkj7AY78AAV7Tq03vI2vHCGJsGM6ODMh4iLf59ygV2DKommQ+TP89Q6kfuWbhS28NfT+DsL9MJVk9lbfe3V0NXAibUV3hoTrIGG4b1t/d2y97/dpPwJNb4FL3gdDGX3eR36Anwb53rcrN4I5+CfhCFgS//7771mzZk2JJP7777/z1FNPFS/z0UcfoWkad9xxB5s3b+bJJ59kwYIF6HSl/2nV9eZ0jwcuu8zGX3/pWL68iAsvVCv+YtVJjGE/md5WNZL5FVcm4dtGY8pejceWRF6H/+ANPcsP6zSGvK1EruuNN7QN2V3XnPoTO+Hvn0/ozkewHvqA3Paf4Yq9usKx6ewHiVrbA0V1k91tNd6Q6v+pmNO+IGzH/YBKYcunccSPQjNGlfma8r5viicPc/pXWA+8iaFoD45Gt5B/4ZsBGV2vK0oh+peL8VoTye6+/qwDBMvjz9/PybLb9s1E7ziIaoqhsMUkHPG3Vr38morp+FKMWavRF/6JvnA3evt+FEr+rjSdGa8tCU1nwpi3CQBX9GUUtngcT2RgkrkhdwORvw1EM0SQ3W0NqqXRWeLXMGb/jDV1FqajC1BQUU0xeEIvxJizFkV1AqDqQ3FH98VV/3Jc9fqjWpsUryImwoN97QQshz5EQcPR6BYKkqaimer7pRyKO9d31MKhDzEU7gTAE9IKR+M7cDQahWbw74CemNBC8nd9ifnofIxZq1A0z4ltXoCzwVBcDa7GE9Yec9ocwnY+BKqbwqQp2BMfqND/oi1lBiF7n8NZ/wryOv434F081W1OD1hDbVxcHOnp6cX3MzIyzmgu/+qrr5g9ezYAycnJOJ1OsrOzqVfv/D0M5fPPjezerefWW12VSuCKO5uILTdBzq+ENhpFQZtXq/SnXFWGnLWEb7sdvfMwzpgh5LedVaFR557wDjgajcJ65N9YDn+MI+HOUpdV3NlYjszBa0nAFTOoUvGp1ibkX/g6EdtuI3zbP8jt8J+qH06iadhSphOy7wVUQwR57T/FXa9v1db191UbwnE0vgNn7DAiNl2L5cjnoLrIv+jdM3ZwqiskZTqK5qGoxVPn9LtSmpNldzQcie3Am9j2zyRs5wNYDs2msPXzuKMurfC6FHcWlsOf+Ubd2/cXP64a6+GJ7IonpBXekNZ4bUl4QlujWhKKdxRitM24Nk3GlLUCU9YKXNF9KGr+f7ijevitrIo7m/Bto0HzkNdu9tkTOJwYRNgTd3RPdPYDWFNnYzn8CaaslXhC251I2gNwR15S+mAxUxQFbV7B0ehmQnc+guXI55gyF1HYcgqO+FFVTlKG3E1YDn2IJf0rFLUITTHiiB2Oo/EY33sVqIqENc73PWl8B4o7G1Pm95iPfofp+DJC9r1IyL4X8Zobonem+X6fHf6Du/7lFV59UfOJGHN/w3xsCbZ9L1HU/J+BKYefBKwm7vF4GDhwIB9//HHxwLaXX36ZpNPO0HHnnXcyaNAgrrvuOlJSUrjttttYvXo1Shkffl2uiefnQ9euIRQVKaxbV0hsbMU+Gp0jjYjN1/qOeTRGgjsHZ73LyWv/ia9JO5A0L7Z9L2FLeRaAwpZPYW/6SKX+GBTnUaJ/Tgadkawem0vUZk//fKz73yD0rycpSJqCvenDVQr3ZE1e01koavYYRU0fBl0lZs7xOgjbMQ5Lxv98x7omf+Xr666gynzfFHcuEZuHY8xdjyP2WvLbzvZbsjXkbSVqXS/cYR3J6fpTlf/IA/n70TmOELLnaSxpXwDgiL2OwqQpJWqZf2fI24LlxHHsiupA01lwxI3A2fBGPKEXVeg49ZNlMuSsJSTlWUxZKwBwRfXyHf4U1at6CUrTCN9yE+Zj31PYfCJFLZ6s3Ou9dhRvUYWPuS/xGakerKnvYkuZjs5bgDuiK/ltXsUbdlG5MSuePHTOIxhz1mM59CHGfF+/se9Ig9txxN96To6yKPU75ynAdHwp5qPzMWUuRrU2Ja/9x1VqdVNcx4la1xud4xC5nb7xDboMkOrWxAOWxAFWrlzJjBkz8Hq9DB8+nHHjxvHaa6/Rtm1b+vfvz549e/jXv/5FUVERiqIwYcIEevbsWeY663ISnz7dxGuvmZk40cljj1XsrD76wr+I2HQtesdBihLuxtbtBZzLr/dNRxqWTG7yXDRzYAYM6hyHCdt+F6bsNXgtjclvO7tStaXTWfe/Suhfkyhqci+FrZ8rfrz489G8RK/piM51lOO9d6IZq9hXpWmY0+cS8ueT6F0ZeGwtKLjgJdz1yu+PV1yZRGwZiTF3Pe7IbuR2mFPpyUsq+31TPPmEb74BU87POGMGk9f+48rtdJQiYtO1mI4vI6fTvGr9QZ2L348h9zdCd0/EmLvBt/OV+CBFzR4BfYhvAdWJOeMbrKnvY8z9DTiRWBrfhSP+lkp/V/5eJkPOOkL2Po/p+FIAXJGX+mrm0X2qlMyt+18n9K9/4YruQ26neQGfiOhsn5HOcYTQ3f+H+eg8NEWPvcm9OONGoHOmoXMcQec8jN5xBJ3zCDrHYd/j3lPTk2rofEcVNL7jnB9VUKHvnKZWOyZD7sYT3R2hZHddjWpNqNb6ShPUSTwQ6moSP3RI4dJLQ4iK0vj110JsFThE1JC7kYjN16NzH6ewxVMUNRtPTINwMjOyCN35MNYjn56oLf7PL33ApzMdXUjYH/eic2fjbDCU/AvfqHpiBVCdRP9yCTpHKtnd1xbXbk9+PqajC4jYejP2+NspuPC1asevuHOx7Z2B9eC7KKg4Yq+lsNUMVEv8WZfXF+wiYvMI9I4DOOJuIP+it6qUTKv0ffMWErFlJKasn3z9dO0/A72l0ts+yZi1isiNQ3BF9/XNZlcN5+z3o6mY0/9LyF+T0TvT8JobUdTiCfRF+7Ac/gSd+xgaCq76V+BIuAtXvQF+b10w5G7Atvd5zMcWA75kXpj0TKXmHzDkrCVyw1Woxvpkd/s5YDvYpyvrMzIdW+I7W91pXQ5/pxrr4bXEo5oboVri8Vqb4YwbXupvJdDO5X+2JfUDwnY9gju8MzkX/+CXHei/kyReTcGSxMeNs/C//xl5/XU7N91U/tmijMeXE7H1FvDaKWjzKo7Go4HTa64atr3PErL3OVRjNLkd/4sn8pLqB+p1EPrXv7Cmvoems1DQ6lkcje/wS//XyUTtrH8FeclfAafKE7FhCKbsVWR1X4s39MJqb+skff42wnY+ijF3PZo+hMLmj2NvMq5Es7Xx+HLCt/0DnSePwuZPUNR8YpXLW+Xvm9dOxNZbMB1fiiv6MnI7zqnaZCCaRuT6fhjzNpJ9yQo8EZ0rv47TnPPfj6cA2/5Xig/jA3zHVDf6B/bGd/hl2szyymTI24wt5VnMx3ynznQ2uJrClpPL3VFWXMeIWtsTnTOd3M4LcEeX3eroL+V+Rl471tR30TsO4TXHo1oaoZrj8VoaoZobVWuHMRDO6XdO0wjbcTeWtC+wJ9xFwQUv+30TksSrKRiS+ObNOgYODKF9ey9LlhRRxuB8AMzpXxG2/W5QdOS1+xDXaXOH/708lkOfELrrYVBM5LX7CFeDyg0IO52+YDfhv4/GULADT0gb8tp/5NeE6juX9dWYslaSk/w/3PUvJyYmjKy9a4le293X/Nj5O/9tr3i7KpYjnxHy1yR07iw8IW0oaPMK7qhLsRz6kNBdjwF68i96G2fDG6q1qWp931Qn4dtuw5y5CFdUT3I7/rfSYx5MGfOJ2HYrzgbDyOvw76rFcZqa+v3o7AewHvoYj60Fzrjhfp0qs6JlMmT/SuhfT/l2ABU9jkb/oKj5/6FaGp65sKYSsXk4puPLKGw56ZxOAxwM/3H+dM7L4y3yzXlRsMM3IVLiA+XOOFcZQTvZi6gYTYPJk31NNM884yw3gVsOziLs9zFoeiu5yd+USOBn42h8G3kd5gAK4VtvxpL6QZWCtBz6xHdmoYId2BuPIbvrCv8mcABFoaDVc2joCP3z8eLJKaypJyZ3SRjn3+0Vb1eHI/4fZF26EXv8aAyFO4nccCWR6wcQtvNhNEMkOV0WVDuBV5vOTF77f+NscA2m7DVEbroWxZ1b8derHt+pRhU9hS2fKn/5IKZaEylMmowz/tYam+vaE9WdnIt/JLfDf/DaWmA9/BHRP3fEtmfKGZ+Lbf9MTMeX4ao3gKKmFZjaVgQPvY289p/6JoLZ8wzRP3fGnPZF0Jz3XJJ4DVu0yMDatQauvNJNjx5lfCk0DdueqYTt/ieaKYacLosq3BznirmSnC4L0IzRhO16BNueKRWauUzx5KEv+IOw30cTtvMBNJ2Z3PafUdDmlYDN6+wNuwhH49sxFP6J9dBscB7HkvYlXmtTXDEDA7LNkzRTPQoufJ3si5fiDuuAMXc9npDWZF+yPGDHCleaztei4oi7HmPuOiI2XYPizq7QSy1HPsdQ9BeORv/w+xiJ85ai4GowhOxua8lv8zqqIYKQfS8R/XMHrAff9k1/mrUa255peM3x5LV9PyimlhWV4w1pSdalGylqci86Zxrh28cStban7xSmNdyYLc3pNdjU5HJBr14hpKYqrFpVSMuWpXwUmpfQnY9iPfwRXmszcjrNK7Xvr6zy6IpSiNx0HXr7PhwNR1LU9FF0zsPoHEfQOw6dGJF66MRo1CPoPHnFr3VHdiev7eyAjdA8neI65jvkDAVd0l2w80UKWs3Annh/wLddTPNizFqJJ6JLlc6yVhq/fd80L2E77sOS9h+8liZ4rU19o5wVPZpiOHHbgHbiMRQ9puPLUDz5ZPXYUvpxyZVU15pqoZpl8hZiO/gO1v2vovPk4bUkoqh2FHcWOV2+P7cn4Tmhrn1GNV0enf0gIXufxXxkDgoq7shuFLR8Bk9U9yqtL2gnexHl+/hjI/v26RgzxlVqAtcX7CT0z8cxHV+OO6wDucn/q/KIVtXWguxLlhKxeQSWtDlY0uacfTlDJKolAbclHtXcGE94exyN/uH3yUZKo5nqU9R8om/e550voulDcDS69Zxsu5iiD+ixodWm+ProVUMY1tT30TsqNo90YbMJfkvg4iz0IRQ1G489/nZs+17Emvo+iuamIGl6jSRw4X+qtQn5F71DUeKDhOyZijlzAVEbBuKsP9A3wDGs7KnD/U1q4jW0V5eRodC7dwheL6xbV0i9eiU/Bp39ICEpMzCnfYGCiqteP/La/7vcWmGFyuMtJCTlORR3FqolHtXS+MQhJL7rgE8QUxGqi6hfu2Eo2oO98Z0UtJlZ0xH5RUC+b5oGqKB5QPOiaN4Tt32PFd9H8Z0Ry48zadV0rSgQ/Fkmnf0AhvwduGKuqrGTINS1zyjYymPIWU/InqcxZa9BQ8EZN4LCFk9W+EgJqYnXQtu36xg1ykp2tsKUKY4SCVxxZWLb+yLWQx+iaC48oRdR2HISrvpX+u9PQB9S+XN4n2s6EwUXvknkgakUNX2opqMJbooC6IsnDfn7Xnmt2kuvY1RrIi5rYk2HIQLIE3kJuZ0XYjy+jJA9z2BJ/y+m48s43mfvOdlxkyR+jn3/vYFx4ywUFSk8+aSTu+/2jcBWPHlYD7yB7cCbKN5CvNamFLZ4Emfc9QGf0SlYuaMuhVZrUINor1sIIc6gKLjrDyCnXj9MR+ejcx07Zy0vksTPEU2DN94wMX26CasVPvzQzpAhHvA6sKa+j23/y+jcWaimBhQkPYMjfrRfj0UUQggRYIoOV+ywc7pJSeLngNMJ48db+PJLI40aqXz6qZ12bb1YDn+GLWUGeudhVEO4bxKIJuNOzQkthBBClEGSeIAdO6YwerSF9esNdOrk5ZNP7MTGahizVhP2x32+Ezo0fZiipg9Xb+5xIYQQ5x1J4gG0c6dvANvBgzquvdbNq686sJ6YXErnzACgoNU0HAljazBKIYQQtZVMHRQgP/6oZ9AgGwcP6pg40cmsWacSOPgGsgFohqhS1iCEEEKUTZK4n2kavPOOkVtvtaKqMHu2nccec50xUFHx+kZca4bSj/8TQgghyiLN6X72yismnnvOTFycyr//badjR/Wsy52siauGiHMZnhBCiDpEkrgfeTzw/vtG6tdXWby4iIYNS59mQ+fxneVIauJCCCGqSprT/WjVKj3Hj+u45hpPmQkcQPGcbE7338k1hBBCnF8kifvRvHlGAIYN85S77KmBbVITF0IIUTWSxP3E6YSFCw3Ex6tcfHH5J4uXmrgQQojqkiTuJ8uXG8jPVxg2zIOuAu+q4slD1Yeet/OiCyGEqD5J4n4yb55vjOC117ortLzOkytN6UIIIapFkrgfFBbC4sUGmjdXadfu7IeU/Z3iyZemdCGEENUiSdwPfvzRQFGRwrBh7oqdfU7TUDx5UhMXQghRLZLE/eCbb042pZc/Kh0A1YmiuaUmLoQQolokiVdTXh4sW2agTRsvrVtXtCldZmsTQghRfZLEq2nRIgMul1LxWjigO3mMuF6a04UQQlSdJPFq+uYb3wQv11xTsVHpcPpEL9KcLoQQouoCOnf6qlWrmD59OqqqMmLECMaOLXne7BkzZrBu3ToAHA4Hx48fZ8OGDYEMya+OHVNYtUpPcrKXZs3Knmb1dDJbmxBCCH8IWBL3er1MmTKFjz76iNjYWK6//nr69etHy5Yti5d54oknim9/+umn/PHHH4EKJyAWLDDg9SoVPjb8pFOnIZWauBBCiKoLWHP6tm3bSExMJCEhAZPJxODBg1m2bFmpyy9cuJAhQ4YEKpyAmDfPgKJoXHNNxfvDQQa2CSGE8I+A1cQzMjKIi4srvh8bG8u2bdvOuuzhw4c5dOgQ3bp1K3e9UVE2DAb/TlUaE1P5Zu3Dh+HXX6FXL2jfPrRyL85yARAe3QCqsO3yVKU8wUzKE9zqWnmg7pVJyhPcqlOegCVxTTuzj1gpZSaUhQsXMnDgQPT68pNzdnZRtWM7XUxMGJmZ+ZV+3UcfGdE0C4MHO8jMrFxzui3nKCFATpERdxW2XZaqlidYSXmCW10rD9S9Mkl5gltFylNWkg9Yc3pcXBzp6enF9zMyMmjQoMFZl120aBGDBw8OVCgBMW+eEb1eY8iQyjWlgwxsE0II4R8BS+Lt2rVj//79pKam4nK5WLhwIf369Ttjub1795KXl0dycnKgQvG7AwcUNm7U06uXl5iYio9KP+nUaUilT1wIIUTVlZvEMzIyqrRig8HApEmTuPPOOxk0aBBXXXUVSUlJvPbaayUGuC1cuJBBgwaV2tQejObN8x0bXtlR6SdJTVwIIYQ/lNsnPnz4cJKTk7n55pvp3r17pVbep08f+vTpU+Kxhx56qMT9Bx54oFLrDAbffGPAaNQYNKjyTelwasY2VQ4xE0IIUQ3l1sSXL19O//79efXVVxk0aBCff/45BQUF5yK2oLR7t44//tDTv7+HiCq2hiuePDTFADqrf4MTQghxXik3iZtMJoYNG8aXX37JtGnTeP/99+nduzdTp07l+PHj5yLGoDJvnq/xYtiwqtXCgVOnIa1FXQhCCCGCT4UGth0+fJiXX36Zxx57jO7duzN79mzq1avHmDFjAh1fUNE0X3+4zaYxcGB1kni+DGoTQghRbeX2id9zzz38+eef3HTTTXz99ddERUUB0KlTJxYtWhTwAIPJ9u06UlJ0DBvmJiSk6utRPHmo1qZ+i0sIIcT5qdwkfs0113DFFVecdSKWBQsWBCSoYPXNN9VvSkdT0Xnz8cigNiGEENVUbnN6REQERUWnZknLy8vj119/DWhQwehkU3pYmEa/ftVrSgc5+YkQQojqKzeJv/DCC4SGnpobPDQ0lBdeeCGgQQWj337TceiQjkGDPFgsVV/PqTOYyTHiQgghqqfcJK5pWomJWHQ6HV6vN6BBBaPqTvBy0qmJXqQmLoQQonrKTeIhISFs3bq1+P7WrVux2WwBDSrYeL3w7bcGoqNVevWq3g6MJHEhhBD+4zaamQAAIABJREFUUu7AtgkTJnDffffRsmVLAPbs2cObb74Z8MCCyR9/6MjM1DFypBujsXrrktnahBBC+Eu5STw5OZmFCxeyZcsWNE0jOTmZiKpOVVZLbdniG5nfpUv1uxFk3nQhhBD+UqHziUdERJwxB/r5ZPNmX69Dx47+SOIyOl0IIYR/lJvEd+3axeTJk9m1axcul6v48Z07dwY0sGCyebMei0XjggvUaq9L+sSFEEL4S7kD255++mkefvhhEhMTWblyJWPHjuWRRx45F7EFhaIi2LVLR7t2arX7wwEUTy4gSVwIIUT1lZvEXS4X3bt3R9M0GjRowCOPPMLq1avPRWxBYft2HV6vQnKyfw6rO9mcLgPbhBBCVFe5SVyn8y0SERHBrl27yM7O5vDhwwEPLFhs3uwb1OaP/nA4NTpdBrYJIYSornL7xAcPHkx2djZjx45l5MiRqKrKgw8+eC5iCwonk7i/a+LSnC6EEKK6ykziqqrSvXt3oqKi6N27N+vXr8fpdJaYhrWu27JFT6MG+Vx85CLsujuwN3usWusrHtimlyQuhBCiespsTtfpdDz55JPF941G43mVwHNyYO9eHVf33orekYoxZ22116l48tB0NtBV6Og+IYQQolTl9om3aNGCQ4cOnYtYgs7JSV56tP8TAJ07q9rrVDx5MqhNCCGEX5RbHczKyuLqq6+mc+fOJeZMf+211wIaWDA4mcTbNv0LAMUPSVznyUM1RlV7PUIIIUSFBrYNHjz4XMQSdE7O1NY0eg/k+qkm7s1HsyZWez1CCCFEuUn82muvPRdxBKUtW/TExqqEqCkAKO4c0Lyg6Ku2QtWJojplZLoQQgi/KDeJP/jggyXOJ35SXW9OT09XSEvTceWVLvT2E0kcDcWdg2aq9//t3Xt0VNXd//H3mRsCgZDEXHg0TeUiaEFh/dp6eWpTgpguQoQasLDyVJeWRZerCiVaFGv5VVpFqdaidbVQq8sihWpFUdJqayjG2gr6aBptsYgajf5MUAgJJIRkzjm/P4ZMCLlMJnMOk8l8Xv+YmZw58909q/mw99ln7wGdU4+XiYiIkyKG+IwZM8I/Hzt2jOeff57x48e7WtRg0PF8+H//n/rwAi0QGlI3BxzioSVXNbFNREScEPVw+hVXXMF1113nWkGDRVVV6H74RVP3wgnrvMQyuU2rtYmIiJMiPmJ2MsMwkuKRs46e+BdyQ4+XBUeERh9imdym4XQREXFSVPfEbdvmP//5DxdddJHrhcWTbYcmtX3+8xajCd0PD6Z+CV/LuzH1xLUNqYiIOCmqe+Jer5drr72WadOm9evklZWV3HHHHViWxYIFC1iyZEm3Y/74xz/yi1/8AsMwmDx5Mvfee28U5bvj/fcNDh0ymDEjiLclFOLtqV/itE+24GlTiIuIyODg2iNmpmmyevVqHnnkEbKzs5k/fz4FBQVMmDAhfExNTQ0bNmxg8+bNpKamcuDAgQF9l9M6FnmZNs3E2/IutnckZsq5QKzD6aEQ18Q2ERFxQsR74osWLaKxsTH8+tChQ5SWlkY8cXV1NXl5eeTm5hIIBCgqKqKioqLLMY8//jilpaWkpqYCkJExsFnfTgvvXDbNxHv0Pczh47D8odo0sU1ERAaLiD3xlpaWcMgCjBkzhiNHjkQ8cX19PTk5OeHX2dnZVFdXdzmmpqYGgIULF2JZFtdffz1f/epX+zxvWtoIfL4BLrbSi8zMrqH61lvg8cDMixsx/tyML20S6WNDq6wN9zQxPHOAIfzRMQDGnD4WTncvyE9uT6JTewa3odYeGHptUnsGt1jaEzHELcuipaUlvG56c3Mzphl5b23btru9d/KiMaZp8sEHH7Bx40bq6uooLS1l+/btjB7d+3BzQ0NLxO+ORmbmKD799HD4dTAIr7+ewqRJFm0H/skIoMWbR3Ojn0yg7ch+Gk84PhopTZ8xHDh42ItpD+wckZzcnkSn9gxuQ609MPTapPYMbv1pT18hHzHE58yZw7XXXsuiRYsA2Lx5M5dffnnEwnJycqirqwu/rq+vJysrq8sx2dnZTJs2Db/fT25uLmeddRY1NTWcd955Ec/vlv/8x8PRowbTp5vhSW3BEePB48PypTpyT1wT20RExAkR74l/5zvf4Zvf/CY7duygoqKChQsX9jjL/GRTp06lpqaG2tpa2traKC8vp6CgoMsxl156Kbt27QJCu6XV1NSQm5s7wKY4o2NS2/TpFt6WfQCYx58Rt/1pjjxiZvkV4iIiEruIPXEIzVCPdpa6z+dj1apVLF68GNM0KSkpYeLEiaxbt44pU6Ywc+ZMLrnkEl5++WVmz56N1+tlxYoVpKXFd5vO118P/bvmxJ54R4hb/nR8R/4VepC8h/XkI/EEm7ANL3hGRD5YREQkgoghfsMNN/DjH/+YMWPGANDQ0MCPfvSjfm2Akp+fT35+fpf3li1bFv7ZMAxWrlzJypUro63bNVVVXoYNsznnHAvvq+9ieUdhBzIBsP3pGNYxsFrAOzLqcxvmYWzvqAH9A0BERORkEYfTa2trwwEOkJaWxocffuhqUfHS2gp79niYMsXC77PwHn0fc8SEcOha/nQAPG0De57dCDbpfriIiDgmYoibptllNnp7ezttbW2uFhUvb73lIRgMTWrztH6MYbVijhgX/n04xAd4X9wIHlaIi4iIYyIOp3/lK19h+fLlXHXVVQA8+uijEZ/lTlQdi7x0rNQGnffDITScDgNc8MW2jvfEh9bzjSIiEj8RQ7ysrIz169dz1113AaG11C+44ALXC4uH8Ept060eQ9w6vo/4QHrihnkEA1tLroqIiGMiDqf7/X6uv/56HnzwQWbNmsUzzzzDrbfeeipqO+WqqjyMGmUzfnzPIR5LT1zbkIqIiNP67IkHg0F27NjBk08+SVVVFcFgkN/85jf93sUskTQ1wb59Xi65JIjHQ8898fDEtoGEuBZ6ERERZ/XaE1+zZg1f+9rX2LJlC3PmzOHFF18kNTV1SAY4wD//2Xk/HMDbsg/LNwY70LkpS2w9cYW4iIg4q9ee+ObNm5k+fTpLlizhwgsvBLqvfT6UdE5qs8AK4j1aQ3BU1+VfY5mdbmgHMxERcVivIf63v/2NZ599lrVr19LY2Mi8efP6tfFJonrjjc6V2jyttRh2O+bICV2OsQIDD3HP8XvimtgmIiJO6XU4ffTo0ZSWlrJ161YefPBBGhsbaW1tpbS0lC1btpzKGk+JqiovmZkWZ5xhd94PHz6+60GeEdieYRjt0S/2ouF0ERFxWsTZ6QCTJ0/mtttu46WXXqK0tJSKigq36zql6usNPv7Yw/TpFobR86Q2AAwDy5+Op70h6u8Ih7hXIS4iIs7o1wYoHfx+P7Nnz2b27Nlu1RMXVVWhf8t0TmrrJcQJTW7ztNZG/R3qiYuIiNP61RMf6joXeYkc4pY/A0+wCaz2qL5DE9tERMRpCnE69xCfNs0CQiFu+U/H9qd2O7bzMbPohtQ9pia2iYiIs5I+xG07NJz+uc9ZZGTYYLXjbf2gx144DPwxMw2ni4iI05I+xN9/Hw4e9HQOpR+twbDN3kN8gI+ZKcRFRMRpSR/ir74a+m+3SW0nPSPeYaCrthnBJmzPcPD4B1ipiIhIVwrx4yE+fXrn/XCAYK/D6WnAwHrimtQmIiJOUoi/Ch6PzXnnRZ6ZDgPviXuChzWpTUREHJXUIW6a8L//C2efbZGSEnqvc7W2cT1+pnMns+hWbVNPXEREnJbUIb53r4fm5s5HywC8Le9hBnLAl9LjZwbUE7faMKxWbF/3R9ZEREQGKqlD/OSV2rCO4Wmt7XUoHcA6vjVpNPfEjeObn2hmuoiIOCmpQ9znA78f8vODAHhbajCw+gxx2zcGG0+UId54/LMaThcREeckdYgvWBCkqQnGj7cB8LbsA3qf1AaA4cH2j4lqOF3bkIqIiBuSOsQBTjut8+dIM9M7hHYyi6Yn3rGDmXriIiLinKQP8RNFWuilg+1PD62dbtv9Om/nPXFNbBMREecoxE/Q+XjZWX0eZ/nTMexguIcdSec9cQ2ni4iIcxTiJ/C2vIt52pngHd7ncdE+ZqZtSEVExA2uhnhlZSWFhYXMmjWLDRs2dPv91q1bufDCC5k7dy5z587liSeecLOcvpkteI99HPF+OES/k5m2IRURETf43DqxaZqsXr2aRx55hOzsbObPn09BQQETJnS93zx79mxWrVrlVhn95m15HwBzeOQQt8M7mfVv1Tb1xEVExA2u9cSrq6vJy8sjNzeXQCBAUVERFRUVbn1dzPo7Mx3A8ocWfOn/cLomtomIiPNc64nX19eTk5MTfp2dnU11dXW34/785z/z6quvctZZZ7Fy5UrGjh3b53nT0kbg83kdrTUzcxTsrwUgZewUUjIj9JiPngHA6EALRDoWYG8LAOnZY2GE+73xzP7UlEDUnsFtqLUHhl6b1J7BLZb2uBbidg+PXxmG0eX1jBkzmDNnDoFAgM2bN3PzzTfz29/+ts/zNjS0OFpnZuYoPv30MCmf/pvhwMH2/8L89HCfn/EfHc4YoLnh/9ES4ViA0c0HGAZ81ujBbo58fCw62jNUqD2D21BrDwy9Nqk9g1t/2tNXyLs2nJ6Tk0NdXV34dX19PVlZWV2OSUtLIxAIAHDllVfyr3/9y61yIvK2vIuNB3PE5yMeG/XEtuBhbAxsb8+bqoiIiAyEayE+depUampqqK2tpa2tjfLycgoKCrocs3///vDPO3bsYPz4yPej3eJteRdr+OfAMyzisQN5xMz2jYaTRiJERERi4dpwus/nY9WqVSxevBjTNCkpKWHixImsW7eOKVOmMHPmTDZu3MiOHTvwer2kpqayZs0at8rpkxE8jLetnraMgsgHA1Z4dnpDv8+vhV5ERMRproU4QH5+Pvn5+V3eW7ZsWfjnG2+8kRtvvNHNEvrF2/Ie0L+Z6QB4hmF7R0bVE7dO+6+BliciItIjrdhGdI+Xdej3Jii23TmcLiIi4iCFOCeumR5liLf1Y7EXsxkDS6u1iYiI4xTiDKwnbvvTMawWMFv7PM6jbUhFRMQlCnHA27IP2/BiDs/r92f6+5iZVmsTERG3KMTp2L0sDzz+fn+mY/30SJPbOrchVU9cREScpRBvO4Sn/QDmyAmRjz1Bv3viZkdPXPfERUTEWQrxw+8A0d0Ph/4v+NKxg5kmtomIiNMU4gMM8f72xD3t2oZURETcoRB3OcQ7h9M1sU1ERJylEI91OL1NE9tERCQ+FOKH38E2Alin5Ub1segfMdM9cRERcVZyh7htQ9Pe0Pajhje6jwYyADDa+161rXNim3riIiLirKQOcaP9ILQfimq51Q62dxS24Ys8sa1jxTbdExcREYcldYh7W/YBRP2MOACGEVp6td/D6eqJi4iIs5I8xKNfM/1E/dnJzAg2YnuGgWfYgL5DRESkN0kd4h27kJkjJw/o85Y/HaP9ENhmr8cYwcOa1CYiIq7wxbuAeGo9439IyRpP+/CLBvR525+OgY3Rfig80e1kRrAJSzuYiYiIC5K6J2770yDvm2AYA/p8fx4z8wSbNKlNRERckdQhHquIO5lZ7RjWUWy/htNFRMR5CvEYROqJdzwjbms4XUREXKAQj0Gkncy0DamIiLhJIR4Dyx+azObpZf10rdYmIiJuUojHINJweuc2pOqJi4iI8xTiMdBwuoiIxJNCPAZWINLEto5tSBXiIiLiPIV4DGxfGtBHT1zbkIqIiIsU4rHw+LB8qZEfMdPENhERcYFCPEa2P63XnrjneE/c0optIiLiAldDvLKyksLCQmbNmsWGDRt6Pe65555j0qRJvPnmm26W44rwTma23e13nffE1RMXERHnuRbipmmyevVqHnroIcrLy9m+fTv79u3rdtyRI0fYuHEj559/vluluMr2p2NYx8Bq6fa7zuF03RMXERHnuRbi1dXV5OXlkZubSyAQoKioiIqKim7HrVu3jsWLFzNsWGLut20FOhZ8OdDtd5rYJiIibnJtK9L6+npycnLCr7Ozs6muru5yzL///W/q6uqYMWMGDz/8cL/Om5Y2Ap/P62itmZkxDHePzoFPICPlGKSfdB6jGTA4PWcsGKdu+kFM7RmE1J7Bbai1B4Zem9SewS2W9rgW4nZP94hP2PLTsizWrFnDmjVrojpvQ0P3YetYZGaO4tNPDw/48yOCKYwEDu2vpd2c2OV3aUcP4fGN4sBnzTFW2X+xtmewUXsGt6HWHhh6bVJ7Brf+tKevkHete5iTk0NdXV34dX19PVlZWeHXzc3N7N27l6uuuoqCggKqqqq47rrrEm5yW19LrxrBJu1gJiIirnGtJz516lRqamqora0lOzub8vJy7r333vDvR40axa5du8Kvv/Wtb7FixQqmTp3qVkmu6GvpVSPYiDVs7KkuSUREkoRrIe7z+Vi1ahWLFy/GNE1KSkqYOHEi69atY8qUKcycOdOtrz6lwj3xk3cys20M8zC2b1IcqhIRkWTgWogD5Ofnk5+f3+W9ZcuW9Xjsxo0b3SzFNb32xK0WDNvUM+IiIuIardgWo97uiXeu1qbHy0RExB0K8Rj1tpOZFnoRERG3KcRj5RmB7TkNo73rYi/ahlRERNymEI+VYRxfP72h69vh1dp0T1xERNyhEHeA7U/vNrFNw+kiIuI2hbgDLH86nmATWO3h9zSxTURE3KYQd0DnY2adQ+q6Jy4iIm5TiDugp8fMtIOZiIi4TSHugJ4eMwvfE9fa6SIi4hKFuAN6WrVNE9tERMRtCnEHWP40oGtPPDyxzZ8al5pERGToU4g7wPZnACf3xI9PbNNwuoiIuEQh7oDOncw6V20zzMPYRgC8p8WrLBERGeIU4g7o7Z64VmsTERE3KcQd0OPs9PYmTWoTERFXKcQdYPvGYOPpOrHNPIzl06Q2ERFxj0LcCYYH2z+mczjdCmKYzRpOFxERVynEHRLaySwU4oap1dpERMR9CnGHhHYyawDbPmGhF/XERUTEPQpxh1j+dAw7iBFs0mptIiJySijEHWIHOhd80TakIiJyKijEHXLiTmbahlRERE4FhbhDOkP8gLYhFRGRU8IX7wKGihNXbTOCR0Lvad10ERFxkULcIScOp2MeA9QTFxERdynEHRLuibcdxLBNQBPbRETEXQpxh3TpiR+nnriIiLhJIe6QLjuZefyh9xTiIiLiIldnp1dWVlJYWMisWbPYsGFDt99v3ryZ4uJi5s6dy6JFi9i3b5+b5biqcyezBox2rdgmIiLucy3ETdNk9erVPPTQQ5SXl7N9+/ZuIV1cXMyzzz7Ltm3bWLx4MWvWrHGrHPd5hmF5U0Kz08NrpyvERUTEPa6FeHV1NXl5eeTm5hIIBCgqKqKioqLLMSkpKeGfjx49imEYbpVzStjHN0Exgk1Y3hQwvPEuSUREhjDX7onX19eTk5MTfp2dnU11dXW34zZt2sQjjzxCe3s7jz76aMTzpqWNwOdzNhwzMx3qMQ8/HZrexuv1QSDVufNGKV7f6xa1Z3Abau2BodcmtWdwi6U9roW4bdvd3uupp11aWkppaSnPPvssv/zlL7n77rv7PG9DQ4tjNULof7xPPz3syLlSjVQCZgt2637M086kwaHzRsPJ9gwGas/gNtTaA0OvTWrP4Naf9vQV8q4Np+fk5FBXVxd+XV9fT1ZWVq/HFxUV8cILL7hVzinR8ZiZYTZrZrqIiLjOtRCfOnUqNTU11NbW0tbWRnl5OQUFBV2OqampCf+8c+dO8vLy3CrnlLCPz1AHPV4mIiLuc2043efzsWrVKhYvXoxpmpSUlDBx4kTWrVvHlClTmDlzJo899hj/+Mc/8Pl8jB49OuJQ+mDX0RMHrdYmIiLuc3Wxl/z8fPLz87u8t2zZsvDPt912m5tff8rZfvXERUTk1NFWpA46sSeuHcxERMRtCnEHWf6M8M/qiYuIiNsU4g7qMpzuV4iLiIi7FOIOsk6YnW55FeIiIuIuhbiDNLFNREROJYW4g2zvKGwjNOFfm5+IiIjbFOJOMoxwb1w9cRERcZtC3GGWQlxERE4RhbjDOkJcK7aJiIjbXF2xLRkFx1yEp62+yyQ3ERERN6gn7rDmif+Xhv9+Azz+eJciIiJDnEJcREQkQSnERUREEpRCXEREJEEpxEVERBKUQlxERCRBKcRFREQSlEJcREQkQSnERUREEpRCXEREJEEpxEVERBKUQlxERCRBKcRFREQSlGHbth3vIkRERCR66omLiIgkKIW4iIhIglKIi4iIJCiFuIiISIJSiIuIiCQohbiIiEiC8sW7gHiqrKzkjjvuwLIsFixYwJIlS+JdUkwKCgoYOXIkHo8Hr9fL1q1b411SVFauXMnOnTvJyMhg+/btABw6dIjly5fz8ccfc8YZZ/Dzn/+c1NTUOFfaPz2154EHHuDxxx8nPT0dgLKyMvLz8+NZZr998sknrFixgs8++wyPx8OVV17J1VdfnbDXqLf2JOo1OnbsGKWlpbS1tWGaJoWFhSxdupTa2lrKyspobGzk3HPPZe3atQQCgXiXG1Fv7bnlllvYvXs3o0aNAuCuu+7inHPOiXO1/WeaJiUlJWRnZ7N+/frYr4+dpILBoD1z5kz7ww8/tI8dO2YXFxfb77zzTrzLismMGTPsAwcOxLuMAdu9e7f91ltv2UVFReH37r77bnv9+vW2bdv2+vXr7bVr18arvKj11J7777/ffuihh+JY1cDV19fbb731lm3btn348GH7sssus995552EvUa9tSdRr5FlWfaRI0ds27bttrY2e/78+fYbb7xhL1261N6+fbtt27b9wx/+0N60aVM8y+y33tpz880323/605/iXN3APfzww3ZZWZm9ZMkS27btmK9P0g6nV1dXk5eXR25uLoFAgKKiIioqKuJdVlL70pe+1K0HV1FRwbx58wCYN28eL7zwQjxKG5Ce2pPIsrKy+MIXvgBASkoK48aNo76+PmGvUW/tSVSGYTBy5EgAgsEgwWAQwzB45ZVXKCwsBOAb3/hGwvyd6609iayuro6dO3cyf/58AGzbjvn6JG2I19fXk5OTE36dnZ2d0P8H7vDtb3+bK664gt///vfxLsURBw4cICsrCwj90T148GCcK4rdpk2bKC4uZuXKlTQ2Nsa7nAH56KOP2LNnD+eff/6QuEYntgcS9xqZpsncuXO5+OKLufjii8nNzWX06NH4fKE7pzk5OQn1d+7k9nRcn/vuu4/i4mLuvPNO2tra4lxl/9155518//vfx+MJRW9DQ0PM1ydpQ9zuYbXZRP9X3ubNm3nqqaf49a9/zaZNm3j11VfjXZKcZNGiRfzlL39h27ZtZGVlcdddd8W7pKg1NzezdOlSbr31VlJSUuJdTsxObk8iXyOv18u2bdt48cUXqa6u5r333ut2TCL9nTu5PXv37qWsrIznnnuOJ598ksbGRjZs2BDvMvvlr3/9K+np6UyZMqXP46K9Pkkb4jk5OdTV1YVf19fXh3sTiSo7OxuAjIwMZs2aRXV1dZwril1GRgb79+8HYP/+/eHJRonq9NNPx+v14vF4WLBgAW+++Wa8S4pKe3s7S5cupbi4mMsuuwxI7GvUU3sS/RoBjB49mgsuuICqqiqampoIBoNAaDg3Ef/OdbTnpZdeIisrC8MwCAQCXHHFFQlzfV5//XV27NhBQUEBZWVlvPLKK9xxxx0xX5+kDfGpU6dSU1NDbW0tbW1tlJeXU1BQEO+yBqylpYUjR46Ef3755ZeZOHFinKuKXUFBAU8//TQATz/9NDNnzoxzRbHpCDuAF154IaGukW3b/OAHP2DcuHFcc8014fcT9Rr11p5EvUYHDx6kqakJgNbWVv7+978zfvx4LrjgAp5//nkAnnrqqYT5O9dTe8aNGxe+PrZtJ9T1ufHGG6msrGTHjh387Gc/48ILL+Tee++N+fok9S5mL774InfeeWd4yv91110X75IGrLa2lu9+97tA6D7SnDlzEq49ZWVl7N69m4aGBjIyMrjhhhu49NJL+d73vscnn3zC2LFjWbduHWPGjIl3qf3SU3t2797N22+/DcAZZ5zB6tWrE6Zn9Nprr1FaWsrZZ58dvqdXVlbGeeedl5DXqLf2bN++PSGv0dtvv80tt9yCaZrYts3Xv/51rr/+empra1m+fDmNjY2cc8453HPPPQnxiFlv7bnqqqtoaGjAtm0mT57M7bffHp4Alyh27drFww8/HH7ELJbrk9QhLiIiksiSdjhdREQk0SnERUREEpRCXEREJEEpxEVERBKUQlxERCRBJfUuZiLJpKCggEAgwLBhw8LvPfjgg5x55pmOfcdHH31ESUkJu3btcuycItI7hbhIErn//vs5++yz412GiDhEw+kiSW7SpEk88MADLFy4kMLCwvDqUQCVlZXMmzeP4uJirr76aj744IPw7/7whz9w+eWXc/nll1NSUsJnn30W/t19993HvHnzKCws5LXXXjul7RFJJuqJiySRpUuXhofTvV4vW7duBUKbLmzZsoX33nuPRYsW8cUvfhGAFStW8NhjjzFhwgSeeOIJbrrpJp544gl27drF+vXr+d3vfkdmZibNzc34fD5aW1s5dOgQ06ZNY/ny5TzzzDPcc889bNmyJW5tFhnKFOIiSaS34fQFCxYAMG7cOM4991yqqqowDIPJkyczYcIEAEpKSrj99ts5cuQIO3fuZO7cuWRmZgJ0WfZyxIgRzJgxA4Bp06Zx9913u90skaSl4XQR6cK2bQzDCP83Wieu++zxeMI7NImI8xTiIsKTTz4JQE1NDXv27OH8889n+vTp7Nmzh3fffRcI7bB07rnnkpKSwowZM9i2bVv4PnhzczNtbW1xq18kWWk4XSSJnHhPHOAnP/kJEOo9L1y4kIaGBlavXk1GRgYAa9eu5aabbiIYDJKens5Pf/pTAL785S/UwvrnAAAAYklEQVSzZMkSrrnmmvDezr/61a9OfYNEkpx2MRNJcpMmTeL1119PuO0cRUTD6SIiIglLPXEREZEEpZ64iIhIglKIi4iIJCiFuIiISIJSiIuIiCQohbiIiEiCUoiLiIgkqP8PSZGF6uNAMSoAAAAASUVORK5CYII=\n", + "text/plain": [ + "<Figure size 576x396 with 1 Axes>" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "<Figure size 576x396 with 1 Axes>" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "<Figure size 576x396 with 1 Axes>" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# hidR = 128 * 2, layerR = 1, hidC = 128 * 2, dropout = 0.5\n", + "# ROC: 0.842, 0.8512, 0.85453, 0.86790\n", + "plot(history)\n", + "print(\"Best ROC AUC\",history['roc'].max())\n", + "print(\"Best Acc\", history['valid_acc'].max())\n", + "print(\"----Best Epoch:\")\n", + "print(history.loc[history['valid_acc'].idxmax(), :])\n", + "print(\"----\")" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "plt.style.use('seaborn')" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Best ROC AUC 0.8430806122956115\n", + "Best Acc 0.8300986846288045\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "<Figure size 576x396 with 1 Axes>" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "<Figure size 576x396 with 1 Axes>" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "<Figure size 576x396 with 1 Axes>" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# hidR = 128 * 2, layerR = 1, hidC = 128 * 2\n", + "plot(history)\n", + "print(\"Best ROC AUC\",history['roc'].max())\n", + "print(\"Best Acc\", history['valid_acc'].max())" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Best ROC AUC 0.8140189354405845\n", + "Best Acc 0.8138157884279887\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "<Figure size 576x396 with 1 Axes>" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "<Figure size 576x396 with 1 Axes>" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "<Figure size 576x396 with 1 Axes>" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# hidR = 128 * 2, layerR = 1, hidC = 128 * 4\n", + "plot(history)\n", + "print(\"Best ROC AUC\",history['roc'].max())\n", + "print(\"Best Acc\", history['valid_acc'].max())" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Best ROC AUC 0.8424904328810694\n", + "Best Acc 0.8081688602765401\n", + "----Best Epoch:\n", + "train_loss 0.097451\n", + "valid_loss 0.637533\n", + "train_acc 0.963188\n", + "valid_acc 0.808169\n", + "train_roc 0.991423\n", + "roc 0.834837\n", + "Name: 38, dtype: float64\n", + "----\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "<Figure size 576x396 with 1 Axes>" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "<Figure size 576x396 with 1 Axes>" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "<Figure size 576x396 with 1 Axes>" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# LSTM\n", + "# hidR = 128 * 2, layerR = 1, hidC = 128 * 2, dropout = 0.5\n", + "# 0.8030602355747727\n", + "# Best Acc 0.7956688602765402\n", + "\n", + "plot(history)\n", + "print(\"Best ROC AUC\",history['roc'].max())\n", + "print(\"Best Acc\", history['valid_acc'].max())\n", + "print(\"----Best Epoch:\")\n", + "print(history.loc[history['valid_acc'].idxmax(), :])\n", + "print(\"----\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.5" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +}