{
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{
"cell_type": "code",
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"id": "02fc3efe",
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{
"name": "stdout",
"output_type": "stream",
"text": [
"TensorFlow Version: 2.16.1\n"
]
}
],
"source": [
"import numpy as np\n",
"import pandas as pd\n",
"import seaborn as sns\n",
"import tensorflow as tf\n",
"import matplotlib.pyplot as plt\n",
"from matplotlib.colors import ListedColormap\n",
"\n",
"import os\n",
"from distutils.dir_util import copy_tree, remove_tree\n",
"\n",
"from PIL import Image\n",
"from random import randint\n",
"\n",
"from imblearn.over_sampling import SMOTE\n",
"from sklearn.model_selection import train_test_split\n",
"from sklearn.metrics import matthews_corrcoef as MCC\n",
"from sklearn.metrics import balanced_accuracy_score as BAS\n",
"from sklearn.metrics import classification_report, confusion_matrix\n",
"\n",
"from keras.layers import LeakyReLU\n",
"from tensorflow.keras.utils import plot_model\n",
"from tensorflow.keras import Sequential, Input\n",
"from tensorflow.keras.layers import Dense, Dropout\n",
"from tensorflow.keras.layers import Conv2D, Flatten\n",
"from tensorflow.keras.callbacks import EarlyStopping, ModelCheckpoint\n",
"from tensorflow.keras.applications.inception_v3 import InceptionV3\n",
"from tensorflow.keras.preprocessing.image import ImageDataGenerator as IDG\n",
"from tensorflow.keras.layers import SeparableConv2D, BatchNormalization, MaxPool2D, GlobalAveragePooling2D\n",
"\n",
"from tensorflow.keras.applications import ResNet50V2\n",
"\n",
"\n",
"print(\"TensorFlow Version:\", tf.__version__)"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "8469c235",
"metadata": {
"execution": {
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"status": "completed"
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"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Contents of base directory:\n",
"['Val', 'Test', 'Train']\n",
"\n",
"Contents of train directory:\n",
"['Monkeypox', 'Others']\n",
"\n",
"Contents of validation directory:\n",
"['Monkeypox', 'Others']\n"
]
}
],
"source": [
"import os\n",
"\n",
"base_dir = '/kaggle/input/monkeypox-skin-lesion-dataset/Fold1/Fold1/Fold1'\n",
"print(\"Contents of base directory:\")\n",
"print(os.listdir(base_dir))\n",
"\n",
"print(\"\\nContents of train directory:\")\n",
"print(os.listdir(f'{base_dir}/Train'))\n",
"\n",
"print(\"\\nContents of validation directory:\")\n",
"print(os.listdir(f'{base_dir}/Val'))"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "5b6b9388",
"metadata": {
"execution": {
"iopub.execute_input": "2024-10-17T12:59:31.147421Z",
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"status": "completed"
},
"tags": []
},
"outputs": [],
"source": [
"import os\n",
"base_dir = '/kaggle/input/monkeypox-skin-lesion-dataset/Augmented Images'\n",
"base_val = \"/kaggle/input/monkeypox-skin-lesion-dataset/Fold1/Fold1/Fold1\"\n",
"train_dir = os.path.join(base_dir, 'Augmented Images')\n",
"validation_dir = os.path.join(base_val, 'Val')\n",
"#train_dir = (os.listdir(\"/kaggle/input/monkeypox-skin-lesion-dataset/Augmented Images/Augmented Images\"))\n",
"#validation_dir = (os.listdir(\"/kaggle/input/monkeypox-skin-lesion-dataset/Fold1/Fold1/Fold1/Val\"))\n",
"# Directory with training cat/dog pictures\n",
"train_monkeypox_dir = os.path.join(train_dir,\"Monkeypox_augmented\")\n",
"train_non_monkeypox_dir = os.path.join(train_dir,\"Others_augmented\")\n",
"\n",
"\n",
"# Directory with validation cat/dog pictures\n",
"validation_monkeypox_dir = os.path.join(validation_dir,\"Monkeypox\")\n",
"validation_non_monkeypox_dir = os.path.join(validation_dir,\"Others\")"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "d1e8e7e4",
"metadata": {
"execution": {
"iopub.execute_input": "2024-10-17T12:59:31.169298Z",
"iopub.status.busy": "2024-10-17T12:59:31.168992Z",
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"shell.execute_reply": "2024-10-17T12:59:32.319301Z"
},
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"status": "completed"
},
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"total training monkeypox images : 1428\n",
"total training non_onkeypox images : 1764\n",
"total validation monkeypox images : 168\n",
"total validation non_monkeypox images : 252\n"
]
}
],
"source": [
"print('total training monkeypox images :', len(os.listdir(train_monkeypox_dir)))\n",
"print('total training non_onkeypox images :', len(os.listdir(train_non_monkeypox_dir)))\n",
"\n",
"print('total validation monkeypox images :', len(os.listdir(validation_monkeypox_dir)))\n",
"print('total validation non_monkeypox images :', len(os.listdir(validation_non_monkeypox_dir)))"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "b5c96fe1",
"metadata": {
"execution": {
"iopub.execute_input": "2024-10-17T12:59:32.335971Z",
"iopub.status.busy": "2024-10-17T12:59:32.335620Z",
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"shell.execute_reply": "2024-10-17T12:59:36.598154Z"
},
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"end_time": "2024-10-17T12:59:36.600893",
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"status": "completed"
},
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Found 3192 images belonging to 2 classes.\n",
"Found 420 images belonging to 2 classes.\n",
"Found 83 images belonging to 2 classes.\n"
]
}
],
"source": [
"# All images will be rescaled by 1./255.\n",
"train_datagen = IDG(rescale = 1.0/255.,)\n",
" # rotation_range = 40,\n",
" # width_shift_range = 0.2,\n",
" # height_shift_range = 0.2,\n",
" # shear_range = 0.2,\n",
" # zoom_range = [.99, 1.01],\n",
" # brightness_range = [0.8, 1.2],\n",
" # data_format = \"channels_last\",\n",
" # fill_mode = \"constant\",\n",
" # horizontal_flip = True )\n",
"\n",
"validation_datagen = IDG( rescale = 1.0/255.,\n",
" validation_split=0.2)\n",
"\n",
"# --------------------\n",
"# Flow training images in batches of 20 using train_datagen generator\n",
"# --------------------\n",
"train_generator = train_datagen.flow_from_directory(train_dir,\n",
" batch_size = 3350,\n",
" class_mode='categorical',\n",
" target_size=(224, 224))\n",
"# --------------------\n",
"# Flow validation images in batches of 20 using validation_datagen generator\n",
"# --------------------\n",
"validation_generator = validation_datagen.flow_from_directory(validation_dir,\n",
" batch_size = 612,\n",
" class_mode = 'categorical',\n",
" target_size = (224, 224))\n",
"\n",
"test_generator = validation_datagen.flow_from_directory(validation_dir,\n",
" batch_size = 122,\n",
" subset='validation',\n",
" class_mode = 'categorical',\n",
" target_size = (224, 224))\n"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "227c3648",
"metadata": {
"execution": {
"iopub.execute_input": "2024-10-17T12:59:36.615873Z",
"iopub.status.busy": "2024-10-17T12:59:36.615298Z",
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"shell.execute_reply": "2024-10-17T13:00:03.468009Z"
},
"papermill": {
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"end_time": "2024-10-17T13:00:03.471282",
"exception": false,
"start_time": "2024-10-17T12:59:36.607634",
"status": "completed"
},
"tags": []
},
"outputs": [],
"source": [
"train_data, train_labels = next(train_generator)\n",
"val_data, val_labels = next(validation_generator)\n",
"test_data, test_labels = next(test_generator)"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "69c97f72",
"metadata": {
"execution": {
"iopub.execute_input": "2024-10-17T13:00:03.486232Z",
"iopub.status.busy": "2024-10-17T13:00:03.485541Z",
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"shell.execute_reply": "2024-10-17T13:00:03.490070Z"
},
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},
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"(3192, 224, 224, 3) (3192, 2)\n",
"(420, 224, 224, 3) (420, 2)\n",
"(83, 224, 224, 3) (83, 2)\n"
]
}
],
"source": [
"print(train_data.shape, train_labels.shape)\n",
"print(val_data.shape, val_labels.shape)\n",
"print(test_data.shape, test_labels.shape)"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "527c5d77",
"metadata": {
"execution": {
"iopub.execute_input": "2024-10-17T13:00:03.507148Z",
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},
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"status": "completed"
},
"tags": []
},
"outputs": [],
"source": [
"# Model Structure :\n",
"from keras.applications.densenet import DenseNet201\n",
"# Set the weights file you downloaded into a variable\n",
"local_weights_file = '/kaggle/input/pre/keras/default/1/densenet201_weights_tf_dim_ordering_tf_kernels_notop.h5'\n",
"\n",
"# Initialize the base model.\n",
"# Set the input shape and remove the dense layers.\n",
"pre_trained_model = DenseNet201(input_shape = (224, 224, 3),\n",
" include_top = False,\n",
" weights = None)\n",
"\n",
"# Load the pre-trained weights you downloaded.\n",
"pre_trained_model.load_weights(local_weights_file)\n",
"\n",
"# Freeze the weights of the layers.\n",
"for layer in pre_trained_model.layers:\n",
" layer.trainable = False"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "79f07d11",
"metadata": {
"execution": {
"iopub.execute_input": "2024-10-17T13:00:10.502231Z",
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"tags": []
},
"outputs": [
{
"data": {
"text/html": [
"Model: \"densenet201\"\n",
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"\u001b[1mModel: \"densenet201\"\u001b[0m\n"
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"┃ Layer (type) ┃ Output Shape ┃ Param # ┃ Connected to ┃\n",
"┡━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━┩\n",
"│ input_layer │ (None, 224, 224, │ 0 │ - │\n",
"│ (InputLayer) │ 3) │ │ │\n",
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"│ zero_padding2d │ (None, 230, 230, │ 0 │ input_layer[0][0] │\n",
"│ (ZeroPadding2D) │ 3) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv1_conv (Conv2D) │ (None, 112, 112, │ 9,408 │ zero_padding2d[0… │\n",
"│ │ 64) │ │ │\n",
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"│ conv1_bn │ (None, 112, 112, │ 256 │ conv1_conv[0][0] │\n",
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"│ conv1_relu │ (None, 112, 112, │ 0 │ conv1_bn[0][0] │\n",
"│ (Activation) │ 64) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ zero_padding2d_1 │ (None, 114, 114, │ 0 │ conv1_relu[0][0] │\n",
"│ (ZeroPadding2D) │ 64) │ │ │\n",
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"│ pool1 │ (None, 56, 56, │ 0 │ zero_padding2d_1… │\n",
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"│ conv2_block1_0_bn │ (None, 56, 56, │ 256 │ pool1[0][0] │\n",
"│ (BatchNormalizatio… │ 64) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv2_block1_0_relu │ (None, 56, 56, │ 0 │ conv2_block1_0_b… │\n",
"│ (Activation) │ 64) │ │ │\n",
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"│ (Concatenate) │ 96) │ │ conv2_block1_2_c… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv2_block2_0_bn │ (None, 56, 56, │ 384 │ conv2_block1_con… │\n",
"│ (BatchNormalizatio… │ 96) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv2_block2_0_relu │ (None, 56, 56, │ 0 │ conv2_block2_0_b… │\n",
"│ (Activation) │ 96) │ │ │\n",
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"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
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"│ (Conv2D) │ 32) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
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"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv2_block3_0_bn │ (None, 56, 56, │ 512 │ conv2_block2_con… │\n",
"│ (BatchNormalizatio… │ 128) │ │ │\n",
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"│ conv2_block3_0_relu │ (None, 56, 56, │ 0 │ conv2_block3_0_b… │\n",
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"│ (BatchNormalizatio… │ 128) │ │ │\n",
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"│ (Activation) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv2_block3_2_conv │ (None, 56, 56, │ 36,864 │ conv2_block3_1_r… │\n",
"│ (Conv2D) │ 32) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv2_block3_concat │ (None, 56, 56, │ 0 │ conv2_block2_con… │\n",
"│ (Concatenate) │ 160) │ │ conv2_block3_2_c… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv2_block4_0_bn │ (None, 56, 56, │ 640 │ conv2_block3_con… │\n",
"│ (BatchNormalizatio… │ 160) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv2_block4_0_relu │ (None, 56, 56, │ 0 │ conv2_block4_0_b… │\n",
"│ (Activation) │ 160) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv2_block4_1_conv │ (None, 56, 56, │ 20,480 │ conv2_block4_0_r… │\n",
"│ (Conv2D) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv2_block4_1_bn │ (None, 56, 56, │ 512 │ conv2_block4_1_c… │\n",
"│ (BatchNormalizatio… │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv2_block4_1_relu │ (None, 56, 56, │ 0 │ conv2_block4_1_b… │\n",
"│ (Activation) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv2_block4_2_conv │ (None, 56, 56, │ 36,864 │ conv2_block4_1_r… │\n",
"│ (Conv2D) │ 32) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv2_block4_concat │ (None, 56, 56, │ 0 │ conv2_block3_con… │\n",
"│ (Concatenate) │ 192) │ │ conv2_block4_2_c… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv2_block5_0_bn │ (None, 56, 56, │ 768 │ conv2_block4_con… │\n",
"│ (BatchNormalizatio… │ 192) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv2_block5_0_relu │ (None, 56, 56, │ 0 │ conv2_block5_0_b… │\n",
"│ (Activation) │ 192) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv2_block5_1_conv │ (None, 56, 56, │ 24,576 │ conv2_block5_0_r… │\n",
"│ (Conv2D) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv2_block5_1_bn │ (None, 56, 56, │ 512 │ conv2_block5_1_c… │\n",
"│ (BatchNormalizatio… │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv2_block5_1_relu │ (None, 56, 56, │ 0 │ conv2_block5_1_b… │\n",
"│ (Activation) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv2_block5_2_conv │ (None, 56, 56, │ 36,864 │ conv2_block5_1_r… │\n",
"│ (Conv2D) │ 32) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv2_block5_concat │ (None, 56, 56, │ 0 │ conv2_block4_con… │\n",
"│ (Concatenate) │ 224) │ │ conv2_block5_2_c… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv2_block6_0_bn │ (None, 56, 56, │ 896 │ conv2_block5_con… │\n",
"│ (BatchNormalizatio… │ 224) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv2_block6_0_relu │ (None, 56, 56, │ 0 │ conv2_block6_0_b… │\n",
"│ (Activation) │ 224) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv2_block6_1_conv │ (None, 56, 56, │ 28,672 │ conv2_block6_0_r… │\n",
"│ (Conv2D) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv2_block6_1_bn │ (None, 56, 56, │ 512 │ conv2_block6_1_c… │\n",
"│ (BatchNormalizatio… │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv2_block6_1_relu │ (None, 56, 56, │ 0 │ conv2_block6_1_b… │\n",
"│ (Activation) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv2_block6_2_conv │ (None, 56, 56, │ 36,864 │ conv2_block6_1_r… │\n",
"│ (Conv2D) │ 32) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv2_block6_concat │ (None, 56, 56, │ 0 │ conv2_block5_con… │\n",
"│ (Concatenate) │ 256) │ │ conv2_block6_2_c… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ pool2_bn │ (None, 56, 56, │ 1,024 │ conv2_block6_con… │\n",
"│ (BatchNormalizatio… │ 256) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ pool2_relu │ (None, 56, 56, │ 0 │ pool2_bn[0][0] │\n",
"│ (Activation) │ 256) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ pool2_conv (Conv2D) │ (None, 56, 56, │ 32,768 │ pool2_relu[0][0] │\n",
"│ │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ pool2_pool │ (None, 28, 28, │ 0 │ pool2_conv[0][0] │\n",
"│ (AveragePooling2D) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block1_0_bn │ (None, 28, 28, │ 512 │ pool2_pool[0][0] │\n",
"│ (BatchNormalizatio… │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block1_0_relu │ (None, 28, 28, │ 0 │ conv3_block1_0_b… │\n",
"│ (Activation) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block1_1_conv │ (None, 28, 28, │ 16,384 │ conv3_block1_0_r… │\n",
"│ (Conv2D) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block1_1_bn │ (None, 28, 28, │ 512 │ conv3_block1_1_c… │\n",
"│ (BatchNormalizatio… │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block1_1_relu │ (None, 28, 28, │ 0 │ conv3_block1_1_b… │\n",
"│ (Activation) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block1_2_conv │ (None, 28, 28, │ 36,864 │ conv3_block1_1_r… │\n",
"│ (Conv2D) │ 32) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block1_concat │ (None, 28, 28, │ 0 │ pool2_pool[0][0], │\n",
"│ (Concatenate) │ 160) │ │ conv3_block1_2_c… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block2_0_bn │ (None, 28, 28, │ 640 │ conv3_block1_con… │\n",
"│ (BatchNormalizatio… │ 160) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block2_0_relu │ (None, 28, 28, │ 0 │ conv3_block2_0_b… │\n",
"│ (Activation) │ 160) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block2_1_conv │ (None, 28, 28, │ 20,480 │ conv3_block2_0_r… │\n",
"│ (Conv2D) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block2_1_bn │ (None, 28, 28, │ 512 │ conv3_block2_1_c… │\n",
"│ (BatchNormalizatio… │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block2_1_relu │ (None, 28, 28, │ 0 │ conv3_block2_1_b… │\n",
"│ (Activation) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block2_2_conv │ (None, 28, 28, │ 36,864 │ conv3_block2_1_r… │\n",
"│ (Conv2D) │ 32) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block2_concat │ (None, 28, 28, │ 0 │ conv3_block1_con… │\n",
"│ (Concatenate) │ 192) │ │ conv3_block2_2_c… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block3_0_bn │ (None, 28, 28, │ 768 │ conv3_block2_con… │\n",
"│ (BatchNormalizatio… │ 192) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block3_0_relu │ (None, 28, 28, │ 0 │ conv3_block3_0_b… │\n",
"│ (Activation) │ 192) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block3_1_conv │ (None, 28, 28, │ 24,576 │ conv3_block3_0_r… │\n",
"│ (Conv2D) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block3_1_bn │ (None, 28, 28, │ 512 │ conv3_block3_1_c… │\n",
"│ (BatchNormalizatio… │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block3_1_relu │ (None, 28, 28, │ 0 │ conv3_block3_1_b… │\n",
"│ (Activation) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block3_2_conv │ (None, 28, 28, │ 36,864 │ conv3_block3_1_r… │\n",
"│ (Conv2D) │ 32) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block3_concat │ (None, 28, 28, │ 0 │ conv3_block2_con… │\n",
"│ (Concatenate) │ 224) │ │ conv3_block3_2_c… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block4_0_bn │ (None, 28, 28, │ 896 │ conv3_block3_con… │\n",
"│ (BatchNormalizatio… │ 224) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block4_0_relu │ (None, 28, 28, │ 0 │ conv3_block4_0_b… │\n",
"│ (Activation) │ 224) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block4_1_conv │ (None, 28, 28, │ 28,672 │ conv3_block4_0_r… │\n",
"│ (Conv2D) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block4_1_bn │ (None, 28, 28, │ 512 │ conv3_block4_1_c… │\n",
"│ (BatchNormalizatio… │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block4_1_relu │ (None, 28, 28, │ 0 │ conv3_block4_1_b… │\n",
"│ (Activation) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block4_2_conv │ (None, 28, 28, │ 36,864 │ conv3_block4_1_r… │\n",
"│ (Conv2D) │ 32) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block4_concat │ (None, 28, 28, │ 0 │ conv3_block3_con… │\n",
"│ (Concatenate) │ 256) │ │ conv3_block4_2_c… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block5_0_bn │ (None, 28, 28, │ 1,024 │ conv3_block4_con… │\n",
"│ (BatchNormalizatio… │ 256) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block5_0_relu │ (None, 28, 28, │ 0 │ conv3_block5_0_b… │\n",
"│ (Activation) │ 256) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block5_1_conv │ (None, 28, 28, │ 32,768 │ conv3_block5_0_r… │\n",
"│ (Conv2D) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block5_1_bn │ (None, 28, 28, │ 512 │ conv3_block5_1_c… │\n",
"│ (BatchNormalizatio… │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block5_1_relu │ (None, 28, 28, │ 0 │ conv3_block5_1_b… │\n",
"│ (Activation) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block5_2_conv │ (None, 28, 28, │ 36,864 │ conv3_block5_1_r… │\n",
"│ (Conv2D) │ 32) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block5_concat │ (None, 28, 28, │ 0 │ conv3_block4_con… │\n",
"│ (Concatenate) │ 288) │ │ conv3_block5_2_c… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block6_0_bn │ (None, 28, 28, │ 1,152 │ conv3_block5_con… │\n",
"│ (BatchNormalizatio… │ 288) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block6_0_relu │ (None, 28, 28, │ 0 │ conv3_block6_0_b… │\n",
"│ (Activation) │ 288) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block6_1_conv │ (None, 28, 28, │ 36,864 │ conv3_block6_0_r… │\n",
"│ (Conv2D) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block6_1_bn │ (None, 28, 28, │ 512 │ conv3_block6_1_c… │\n",
"│ (BatchNormalizatio… │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block6_1_relu │ (None, 28, 28, │ 0 │ conv3_block6_1_b… │\n",
"│ (Activation) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block6_2_conv │ (None, 28, 28, │ 36,864 │ conv3_block6_1_r… │\n",
"│ (Conv2D) │ 32) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block6_concat │ (None, 28, 28, │ 0 │ conv3_block5_con… │\n",
"│ (Concatenate) │ 320) │ │ conv3_block6_2_c… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block7_0_bn │ (None, 28, 28, │ 1,280 │ conv3_block6_con… │\n",
"│ (BatchNormalizatio… │ 320) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block7_0_relu │ (None, 28, 28, │ 0 │ conv3_block7_0_b… │\n",
"│ (Activation) │ 320) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block7_1_conv │ (None, 28, 28, │ 40,960 │ conv3_block7_0_r… │\n",
"│ (Conv2D) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block7_1_bn │ (None, 28, 28, │ 512 │ conv3_block7_1_c… │\n",
"│ (BatchNormalizatio… │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block7_1_relu │ (None, 28, 28, │ 0 │ conv3_block7_1_b… │\n",
"│ (Activation) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block7_2_conv │ (None, 28, 28, │ 36,864 │ conv3_block7_1_r… │\n",
"│ (Conv2D) │ 32) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block7_concat │ (None, 28, 28, │ 0 │ conv3_block6_con… │\n",
"│ (Concatenate) │ 352) │ │ conv3_block7_2_c… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block8_0_bn │ (None, 28, 28, │ 1,408 │ conv3_block7_con… │\n",
"│ (BatchNormalizatio… │ 352) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block8_0_relu │ (None, 28, 28, │ 0 │ conv3_block8_0_b… │\n",
"│ (Activation) │ 352) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block8_1_conv │ (None, 28, 28, │ 45,056 │ conv3_block8_0_r… │\n",
"│ (Conv2D) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block8_1_bn │ (None, 28, 28, │ 512 │ conv3_block8_1_c… │\n",
"│ (BatchNormalizatio… │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block8_1_relu │ (None, 28, 28, │ 0 │ conv3_block8_1_b… │\n",
"│ (Activation) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block8_2_conv │ (None, 28, 28, │ 36,864 │ conv3_block8_1_r… │\n",
"│ (Conv2D) │ 32) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block8_concat │ (None, 28, 28, │ 0 │ conv3_block7_con… │\n",
"│ (Concatenate) │ 384) │ │ conv3_block8_2_c… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block9_0_bn │ (None, 28, 28, │ 1,536 │ conv3_block8_con… │\n",
"│ (BatchNormalizatio… │ 384) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block9_0_relu │ (None, 28, 28, │ 0 │ conv3_block9_0_b… │\n",
"│ (Activation) │ 384) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block9_1_conv │ (None, 28, 28, │ 49,152 │ conv3_block9_0_r… │\n",
"│ (Conv2D) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block9_1_bn │ (None, 28, 28, │ 512 │ conv3_block9_1_c… │\n",
"│ (BatchNormalizatio… │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block9_1_relu │ (None, 28, 28, │ 0 │ conv3_block9_1_b… │\n",
"│ (Activation) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block9_2_conv │ (None, 28, 28, │ 36,864 │ conv3_block9_1_r… │\n",
"│ (Conv2D) │ 32) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block9_concat │ (None, 28, 28, │ 0 │ conv3_block8_con… │\n",
"│ (Concatenate) │ 416) │ │ conv3_block9_2_c… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block10_0_bn │ (None, 28, 28, │ 1,664 │ conv3_block9_con… │\n",
"│ (BatchNormalizatio… │ 416) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block10_0_re… │ (None, 28, 28, │ 0 │ conv3_block10_0_… │\n",
"│ (Activation) │ 416) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block10_1_co… │ (None, 28, 28, │ 53,248 │ conv3_block10_0_… │\n",
"│ (Conv2D) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block10_1_bn │ (None, 28, 28, │ 512 │ conv3_block10_1_… │\n",
"│ (BatchNormalizatio… │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block10_1_re… │ (None, 28, 28, │ 0 │ conv3_block10_1_… │\n",
"│ (Activation) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block10_2_co… │ (None, 28, 28, │ 36,864 │ conv3_block10_1_… │\n",
"│ (Conv2D) │ 32) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block10_conc… │ (None, 28, 28, │ 0 │ conv3_block9_con… │\n",
"│ (Concatenate) │ 448) │ │ conv3_block10_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block11_0_bn │ (None, 28, 28, │ 1,792 │ conv3_block10_co… │\n",
"│ (BatchNormalizatio… │ 448) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block11_0_re… │ (None, 28, 28, │ 0 │ conv3_block11_0_… │\n",
"│ (Activation) │ 448) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block11_1_co… │ (None, 28, 28, │ 57,344 │ conv3_block11_0_… │\n",
"│ (Conv2D) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block11_1_bn │ (None, 28, 28, │ 512 │ conv3_block11_1_… │\n",
"│ (BatchNormalizatio… │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block11_1_re… │ (None, 28, 28, │ 0 │ conv3_block11_1_… │\n",
"│ (Activation) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block11_2_co… │ (None, 28, 28, │ 36,864 │ conv3_block11_1_… │\n",
"│ (Conv2D) │ 32) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block11_conc… │ (None, 28, 28, │ 0 │ conv3_block10_co… │\n",
"│ (Concatenate) │ 480) │ │ conv3_block11_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block12_0_bn │ (None, 28, 28, │ 1,920 │ conv3_block11_co… │\n",
"│ (BatchNormalizatio… │ 480) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block12_0_re… │ (None, 28, 28, │ 0 │ conv3_block12_0_… │\n",
"│ (Activation) │ 480) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block12_1_co… │ (None, 28, 28, │ 61,440 │ conv3_block12_0_… │\n",
"│ (Conv2D) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block12_1_bn │ (None, 28, 28, │ 512 │ conv3_block12_1_… │\n",
"│ (BatchNormalizatio… │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block12_1_re… │ (None, 28, 28, │ 0 │ conv3_block12_1_… │\n",
"│ (Activation) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block12_2_co… │ (None, 28, 28, │ 36,864 │ conv3_block12_1_… │\n",
"│ (Conv2D) │ 32) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block12_conc… │ (None, 28, 28, │ 0 │ conv3_block11_co… │\n",
"│ (Concatenate) │ 512) │ │ conv3_block12_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ pool3_bn │ (None, 28, 28, │ 2,048 │ conv3_block12_co… │\n",
"│ (BatchNormalizatio… │ 512) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ pool3_relu │ (None, 28, 28, │ 0 │ pool3_bn[0][0] │\n",
"│ (Activation) │ 512) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ pool3_conv (Conv2D) │ (None, 28, 28, │ 131,072 │ pool3_relu[0][0] │\n",
"│ │ 256) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ pool3_pool │ (None, 14, 14, │ 0 │ pool3_conv[0][0] │\n",
"│ (AveragePooling2D) │ 256) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block1_0_bn │ (None, 14, 14, │ 1,024 │ pool3_pool[0][0] │\n",
"│ (BatchNormalizatio… │ 256) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block1_0_relu │ (None, 14, 14, │ 0 │ conv4_block1_0_b… │\n",
"│ (Activation) │ 256) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block1_1_conv │ (None, 14, 14, │ 32,768 │ conv4_block1_0_r… │\n",
"│ (Conv2D) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block1_1_bn │ (None, 14, 14, │ 512 │ conv4_block1_1_c… │\n",
"│ (BatchNormalizatio… │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block1_1_relu │ (None, 14, 14, │ 0 │ conv4_block1_1_b… │\n",
"│ (Activation) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block1_2_conv │ (None, 14, 14, │ 36,864 │ conv4_block1_1_r… │\n",
"│ (Conv2D) │ 32) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block1_concat │ (None, 14, 14, │ 0 │ pool3_pool[0][0], │\n",
"│ (Concatenate) │ 288) │ │ conv4_block1_2_c… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block2_0_bn │ (None, 14, 14, │ 1,152 │ conv4_block1_con… │\n",
"│ (BatchNormalizatio… │ 288) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block2_0_relu │ (None, 14, 14, │ 0 │ conv4_block2_0_b… │\n",
"│ (Activation) │ 288) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block2_1_conv │ (None, 14, 14, │ 36,864 │ conv4_block2_0_r… │\n",
"│ (Conv2D) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block2_1_bn │ (None, 14, 14, │ 512 │ conv4_block2_1_c… │\n",
"│ (BatchNormalizatio… │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block2_1_relu │ (None, 14, 14, │ 0 │ conv4_block2_1_b… │\n",
"│ (Activation) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block2_2_conv │ (None, 14, 14, │ 36,864 │ conv4_block2_1_r… │\n",
"│ (Conv2D) │ 32) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block2_concat │ (None, 14, 14, │ 0 │ conv4_block1_con… │\n",
"│ (Concatenate) │ 320) │ │ conv4_block2_2_c… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block3_0_bn │ (None, 14, 14, │ 1,280 │ conv4_block2_con… │\n",
"│ (BatchNormalizatio… │ 320) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block3_0_relu │ (None, 14, 14, │ 0 │ conv4_block3_0_b… │\n",
"│ (Activation) │ 320) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block3_1_conv │ (None, 14, 14, │ 40,960 │ conv4_block3_0_r… │\n",
"│ (Conv2D) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block3_1_bn │ (None, 14, 14, │ 512 │ conv4_block3_1_c… │\n",
"│ (BatchNormalizatio… │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block3_1_relu │ (None, 14, 14, │ 0 │ conv4_block3_1_b… │\n",
"│ (Activation) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block3_2_conv │ (None, 14, 14, │ 36,864 │ conv4_block3_1_r… │\n",
"│ (Conv2D) │ 32) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block3_concat │ (None, 14, 14, │ 0 │ conv4_block2_con… │\n",
"│ (Concatenate) │ 352) │ │ conv4_block3_2_c… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block4_0_bn │ (None, 14, 14, │ 1,408 │ conv4_block3_con… │\n",
"│ (BatchNormalizatio… │ 352) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block4_0_relu │ (None, 14, 14, │ 0 │ conv4_block4_0_b… │\n",
"│ (Activation) │ 352) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block4_1_conv │ (None, 14, 14, │ 45,056 │ conv4_block4_0_r… │\n",
"│ (Conv2D) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block4_1_bn │ (None, 14, 14, │ 512 │ conv4_block4_1_c… │\n",
"│ (BatchNormalizatio… │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block4_1_relu │ (None, 14, 14, │ 0 │ conv4_block4_1_b… │\n",
"│ (Activation) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block4_2_conv │ (None, 14, 14, │ 36,864 │ conv4_block4_1_r… │\n",
"│ (Conv2D) │ 32) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block4_concat │ (None, 14, 14, │ 0 │ conv4_block3_con… │\n",
"│ (Concatenate) │ 384) │ │ conv4_block4_2_c… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block5_0_bn │ (None, 14, 14, │ 1,536 │ conv4_block4_con… │\n",
"│ (BatchNormalizatio… │ 384) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block5_0_relu │ (None, 14, 14, │ 0 │ conv4_block5_0_b… │\n",
"│ (Activation) │ 384) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block5_1_conv │ (None, 14, 14, │ 49,152 │ conv4_block5_0_r… │\n",
"│ (Conv2D) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block5_1_bn │ (None, 14, 14, │ 512 │ conv4_block5_1_c… │\n",
"│ (BatchNormalizatio… │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block5_1_relu │ (None, 14, 14, │ 0 │ conv4_block5_1_b… │\n",
"│ (Activation) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block5_2_conv │ (None, 14, 14, │ 36,864 │ conv4_block5_1_r… │\n",
"│ (Conv2D) │ 32) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block5_concat │ (None, 14, 14, │ 0 │ conv4_block4_con… │\n",
"│ (Concatenate) │ 416) │ │ conv4_block5_2_c… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block6_0_bn │ (None, 14, 14, │ 1,664 │ conv4_block5_con… │\n",
"│ (BatchNormalizatio… │ 416) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block6_0_relu │ (None, 14, 14, │ 0 │ conv4_block6_0_b… │\n",
"│ (Activation) │ 416) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block6_1_conv │ (None, 14, 14, │ 53,248 │ conv4_block6_0_r… │\n",
"│ (Conv2D) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block6_1_bn │ (None, 14, 14, │ 512 │ conv4_block6_1_c… │\n",
"│ (BatchNormalizatio… │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block6_1_relu │ (None, 14, 14, │ 0 │ conv4_block6_1_b… │\n",
"│ (Activation) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block6_2_conv │ (None, 14, 14, │ 36,864 │ conv4_block6_1_r… │\n",
"│ (Conv2D) │ 32) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block6_concat │ (None, 14, 14, │ 0 │ conv4_block5_con… │\n",
"│ (Concatenate) │ 448) │ │ conv4_block6_2_c… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block7_0_bn │ (None, 14, 14, │ 1,792 │ conv4_block6_con… │\n",
"│ (BatchNormalizatio… │ 448) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block7_0_relu │ (None, 14, 14, │ 0 │ conv4_block7_0_b… │\n",
"│ (Activation) │ 448) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block7_1_conv │ (None, 14, 14, │ 57,344 │ conv4_block7_0_r… │\n",
"│ (Conv2D) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block7_1_bn │ (None, 14, 14, │ 512 │ conv4_block7_1_c… │\n",
"│ (BatchNormalizatio… │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block7_1_relu │ (None, 14, 14, │ 0 │ conv4_block7_1_b… │\n",
"│ (Activation) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block7_2_conv │ (None, 14, 14, │ 36,864 │ conv4_block7_1_r… │\n",
"│ (Conv2D) │ 32) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block7_concat │ (None, 14, 14, │ 0 │ conv4_block6_con… │\n",
"│ (Concatenate) │ 480) │ │ conv4_block7_2_c… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block8_0_bn │ (None, 14, 14, │ 1,920 │ conv4_block7_con… │\n",
"│ (BatchNormalizatio… │ 480) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block8_0_relu │ (None, 14, 14, │ 0 │ conv4_block8_0_b… │\n",
"│ (Activation) │ 480) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block8_1_conv │ (None, 14, 14, │ 61,440 │ conv4_block8_0_r… │\n",
"│ (Conv2D) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block8_1_bn │ (None, 14, 14, │ 512 │ conv4_block8_1_c… │\n",
"│ (BatchNormalizatio… │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block8_1_relu │ (None, 14, 14, │ 0 │ conv4_block8_1_b… │\n",
"│ (Activation) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block8_2_conv │ (None, 14, 14, │ 36,864 │ conv4_block8_1_r… │\n",
"│ (Conv2D) │ 32) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block8_concat │ (None, 14, 14, │ 0 │ conv4_block7_con… │\n",
"│ (Concatenate) │ 512) │ │ conv4_block8_2_c… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block9_0_bn │ (None, 14, 14, │ 2,048 │ conv4_block8_con… │\n",
"│ (BatchNormalizatio… │ 512) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block9_0_relu │ (None, 14, 14, │ 0 │ conv4_block9_0_b… │\n",
"│ (Activation) │ 512) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block9_1_conv │ (None, 14, 14, │ 65,536 │ conv4_block9_0_r… │\n",
"│ (Conv2D) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block9_1_bn │ (None, 14, 14, │ 512 │ conv4_block9_1_c… │\n",
"│ (BatchNormalizatio… │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block9_1_relu │ (None, 14, 14, │ 0 │ conv4_block9_1_b… │\n",
"│ (Activation) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block9_2_conv │ (None, 14, 14, │ 36,864 │ conv4_block9_1_r… │\n",
"│ (Conv2D) │ 32) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block9_concat │ (None, 14, 14, │ 0 │ conv4_block8_con… │\n",
"│ (Concatenate) │ 544) │ │ conv4_block9_2_c… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block10_0_bn │ (None, 14, 14, │ 2,176 │ conv4_block9_con… │\n",
"│ (BatchNormalizatio… │ 544) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block10_0_re… │ (None, 14, 14, │ 0 │ conv4_block10_0_… │\n",
"│ (Activation) │ 544) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block10_1_co… │ (None, 14, 14, │ 69,632 │ conv4_block10_0_… │\n",
"│ (Conv2D) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block10_1_bn │ (None, 14, 14, │ 512 │ conv4_block10_1_… │\n",
"│ (BatchNormalizatio… │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block10_1_re… │ (None, 14, 14, │ 0 │ conv4_block10_1_… │\n",
"│ (Activation) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block10_2_co… │ (None, 14, 14, │ 36,864 │ conv4_block10_1_… │\n",
"│ (Conv2D) │ 32) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block10_conc… │ (None, 14, 14, │ 0 │ conv4_block9_con… │\n",
"│ (Concatenate) │ 576) │ │ conv4_block10_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block11_0_bn │ (None, 14, 14, │ 2,304 │ conv4_block10_co… │\n",
"│ (BatchNormalizatio… │ 576) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block11_0_re… │ (None, 14, 14, │ 0 │ conv4_block11_0_… │\n",
"│ (Activation) │ 576) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block11_1_co… │ (None, 14, 14, │ 73,728 │ conv4_block11_0_… │\n",
"│ (Conv2D) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block11_1_bn │ (None, 14, 14, │ 512 │ conv4_block11_1_… │\n",
"│ (BatchNormalizatio… │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block11_1_re… │ (None, 14, 14, │ 0 │ conv4_block11_1_… │\n",
"│ (Activation) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block11_2_co… │ (None, 14, 14, │ 36,864 │ conv4_block11_1_… │\n",
"│ (Conv2D) │ 32) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block11_conc… │ (None, 14, 14, │ 0 │ conv4_block10_co… │\n",
"│ (Concatenate) │ 608) │ │ conv4_block11_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block12_0_bn │ (None, 14, 14, │ 2,432 │ conv4_block11_co… │\n",
"│ (BatchNormalizatio… │ 608) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block12_0_re… │ (None, 14, 14, │ 0 │ conv4_block12_0_… │\n",
"│ (Activation) │ 608) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block12_1_co… │ (None, 14, 14, │ 77,824 │ conv4_block12_0_… │\n",
"│ (Conv2D) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block12_1_bn │ (None, 14, 14, │ 512 │ conv4_block12_1_… │\n",
"│ (BatchNormalizatio… │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block12_1_re… │ (None, 14, 14, │ 0 │ conv4_block12_1_… │\n",
"│ (Activation) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block12_2_co… │ (None, 14, 14, │ 36,864 │ conv4_block12_1_… │\n",
"│ (Conv2D) │ 32) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block12_conc… │ (None, 14, 14, │ 0 │ conv4_block11_co… │\n",
"│ (Concatenate) │ 640) │ │ conv4_block12_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block13_0_bn │ (None, 14, 14, │ 2,560 │ conv4_block12_co… │\n",
"│ (BatchNormalizatio… │ 640) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block13_0_re… │ (None, 14, 14, │ 0 │ conv4_block13_0_… │\n",
"│ (Activation) │ 640) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block13_1_co… │ (None, 14, 14, │ 81,920 │ conv4_block13_0_… │\n",
"│ (Conv2D) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block13_1_bn │ (None, 14, 14, │ 512 │ conv4_block13_1_… │\n",
"│ (BatchNormalizatio… │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block13_1_re… │ (None, 14, 14, │ 0 │ conv4_block13_1_… │\n",
"│ (Activation) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block13_2_co… │ (None, 14, 14, │ 36,864 │ conv4_block13_1_… │\n",
"│ (Conv2D) │ 32) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block13_conc… │ (None, 14, 14, │ 0 │ conv4_block12_co… │\n",
"│ (Concatenate) │ 672) │ │ conv4_block13_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block14_0_bn │ (None, 14, 14, │ 2,688 │ conv4_block13_co… │\n",
"│ (BatchNormalizatio… │ 672) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block14_0_re… │ (None, 14, 14, │ 0 │ conv4_block14_0_… │\n",
"│ (Activation) │ 672) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block14_1_co… │ (None, 14, 14, │ 86,016 │ conv4_block14_0_… │\n",
"│ (Conv2D) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block14_1_bn │ (None, 14, 14, │ 512 │ conv4_block14_1_… │\n",
"│ (BatchNormalizatio… │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block14_1_re… │ (None, 14, 14, │ 0 │ conv4_block14_1_… │\n",
"│ (Activation) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block14_2_co… │ (None, 14, 14, │ 36,864 │ conv4_block14_1_… │\n",
"│ (Conv2D) │ 32) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block14_conc… │ (None, 14, 14, │ 0 │ conv4_block13_co… │\n",
"│ (Concatenate) │ 704) │ │ conv4_block14_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block15_0_bn │ (None, 14, 14, │ 2,816 │ conv4_block14_co… │\n",
"│ (BatchNormalizatio… │ 704) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block15_0_re… │ (None, 14, 14, │ 0 │ conv4_block15_0_… │\n",
"│ (Activation) │ 704) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block15_1_co… │ (None, 14, 14, │ 90,112 │ conv4_block15_0_… │\n",
"│ (Conv2D) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block15_1_bn │ (None, 14, 14, │ 512 │ conv4_block15_1_… │\n",
"│ (BatchNormalizatio… │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block15_1_re… │ (None, 14, 14, │ 0 │ conv4_block15_1_… │\n",
"│ (Activation) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block15_2_co… │ (None, 14, 14, │ 36,864 │ conv4_block15_1_… │\n",
"│ (Conv2D) │ 32) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block15_conc… │ (None, 14, 14, │ 0 │ conv4_block14_co… │\n",
"│ (Concatenate) │ 736) │ │ conv4_block15_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block16_0_bn │ (None, 14, 14, │ 2,944 │ conv4_block15_co… │\n",
"│ (BatchNormalizatio… │ 736) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block16_0_re… │ (None, 14, 14, │ 0 │ conv4_block16_0_… │\n",
"│ (Activation) │ 736) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block16_1_co… │ (None, 14, 14, │ 94,208 │ conv4_block16_0_… │\n",
"│ (Conv2D) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block16_1_bn │ (None, 14, 14, │ 512 │ conv4_block16_1_… │\n",
"│ (BatchNormalizatio… │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block16_1_re… │ (None, 14, 14, │ 0 │ conv4_block16_1_… │\n",
"│ (Activation) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block16_2_co… │ (None, 14, 14, │ 36,864 │ conv4_block16_1_… │\n",
"│ (Conv2D) │ 32) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block16_conc… │ (None, 14, 14, │ 0 │ conv4_block15_co… │\n",
"│ (Concatenate) │ 768) │ │ conv4_block16_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block17_0_bn │ (None, 14, 14, │ 3,072 │ conv4_block16_co… │\n",
"│ (BatchNormalizatio… │ 768) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block17_0_re… │ (None, 14, 14, │ 0 │ conv4_block17_0_… │\n",
"│ (Activation) │ 768) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block17_1_co… │ (None, 14, 14, │ 98,304 │ conv4_block17_0_… │\n",
"│ (Conv2D) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block17_1_bn │ (None, 14, 14, │ 512 │ conv4_block17_1_… │\n",
"│ (BatchNormalizatio… │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block17_1_re… │ (None, 14, 14, │ 0 │ conv4_block17_1_… │\n",
"│ (Activation) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block17_2_co… │ (None, 14, 14, │ 36,864 │ conv4_block17_1_… │\n",
"│ (Conv2D) │ 32) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block17_conc… │ (None, 14, 14, │ 0 │ conv4_block16_co… │\n",
"│ (Concatenate) │ 800) │ │ conv4_block17_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block18_0_bn │ (None, 14, 14, │ 3,200 │ conv4_block17_co… │\n",
"│ (BatchNormalizatio… │ 800) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block18_0_re… │ (None, 14, 14, │ 0 │ conv4_block18_0_… │\n",
"│ (Activation) │ 800) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block18_1_co… │ (None, 14, 14, │ 102,400 │ conv4_block18_0_… │\n",
"│ (Conv2D) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block18_1_bn │ (None, 14, 14, │ 512 │ conv4_block18_1_… │\n",
"│ (BatchNormalizatio… │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block18_1_re… │ (None, 14, 14, │ 0 │ conv4_block18_1_… │\n",
"│ (Activation) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block18_2_co… │ (None, 14, 14, │ 36,864 │ conv4_block18_1_… │\n",
"│ (Conv2D) │ 32) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block18_conc… │ (None, 14, 14, │ 0 │ conv4_block17_co… │\n",
"│ (Concatenate) │ 832) │ │ conv4_block18_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block19_0_bn │ (None, 14, 14, │ 3,328 │ conv4_block18_co… │\n",
"│ (BatchNormalizatio… │ 832) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block19_0_re… │ (None, 14, 14, │ 0 │ conv4_block19_0_… │\n",
"│ (Activation) │ 832) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block19_1_co… │ (None, 14, 14, │ 106,496 │ conv4_block19_0_… │\n",
"│ (Conv2D) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block19_1_bn │ (None, 14, 14, │ 512 │ conv4_block19_1_… │\n",
"│ (BatchNormalizatio… │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block19_1_re… │ (None, 14, 14, │ 0 │ conv4_block19_1_… │\n",
"│ (Activation) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block19_2_co… │ (None, 14, 14, │ 36,864 │ conv4_block19_1_… │\n",
"│ (Conv2D) │ 32) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block19_conc… │ (None, 14, 14, │ 0 │ conv4_block18_co… │\n",
"│ (Concatenate) │ 864) │ │ conv4_block19_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block20_0_bn │ (None, 14, 14, │ 3,456 │ conv4_block19_co… │\n",
"│ (BatchNormalizatio… │ 864) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block20_0_re… │ (None, 14, 14, │ 0 │ conv4_block20_0_… │\n",
"│ (Activation) │ 864) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block20_1_co… │ (None, 14, 14, │ 110,592 │ conv4_block20_0_… │\n",
"│ (Conv2D) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block20_1_bn │ (None, 14, 14, │ 512 │ conv4_block20_1_… │\n",
"│ (BatchNormalizatio… │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block20_1_re… │ (None, 14, 14, │ 0 │ conv4_block20_1_… │\n",
"│ (Activation) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block20_2_co… │ (None, 14, 14, │ 36,864 │ conv4_block20_1_… │\n",
"│ (Conv2D) │ 32) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block20_conc… │ (None, 14, 14, │ 0 │ conv4_block19_co… │\n",
"│ (Concatenate) │ 896) │ │ conv4_block20_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block21_0_bn │ (None, 14, 14, │ 3,584 │ conv4_block20_co… │\n",
"│ (BatchNormalizatio… │ 896) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block21_0_re… │ (None, 14, 14, │ 0 │ conv4_block21_0_… │\n",
"│ (Activation) │ 896) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block21_1_co… │ (None, 14, 14, │ 114,688 │ conv4_block21_0_… │\n",
"│ (Conv2D) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block21_1_bn │ (None, 14, 14, │ 512 │ conv4_block21_1_… │\n",
"│ (BatchNormalizatio… │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block21_1_re… │ (None, 14, 14, │ 0 │ conv4_block21_1_… │\n",
"│ (Activation) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block21_2_co… │ (None, 14, 14, │ 36,864 │ conv4_block21_1_… │\n",
"│ (Conv2D) │ 32) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block21_conc… │ (None, 14, 14, │ 0 │ conv4_block20_co… │\n",
"│ (Concatenate) │ 928) │ │ conv4_block21_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block22_0_bn │ (None, 14, 14, │ 3,712 │ conv4_block21_co… │\n",
"│ (BatchNormalizatio… │ 928) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block22_0_re… │ (None, 14, 14, │ 0 │ conv4_block22_0_… │\n",
"│ (Activation) │ 928) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block22_1_co… │ (None, 14, 14, │ 118,784 │ conv4_block22_0_… │\n",
"│ (Conv2D) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block22_1_bn │ (None, 14, 14, │ 512 │ conv4_block22_1_… │\n",
"│ (BatchNormalizatio… │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block22_1_re… │ (None, 14, 14, │ 0 │ conv4_block22_1_… │\n",
"│ (Activation) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block22_2_co… │ (None, 14, 14, │ 36,864 │ conv4_block22_1_… │\n",
"│ (Conv2D) │ 32) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block22_conc… │ (None, 14, 14, │ 0 │ conv4_block21_co… │\n",
"│ (Concatenate) │ 960) │ │ conv4_block22_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block23_0_bn │ (None, 14, 14, │ 3,840 │ conv4_block22_co… │\n",
"│ (BatchNormalizatio… │ 960) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block23_0_re… │ (None, 14, 14, │ 0 │ conv4_block23_0_… │\n",
"│ (Activation) │ 960) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block23_1_co… │ (None, 14, 14, │ 122,880 │ conv4_block23_0_… │\n",
"│ (Conv2D) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block23_1_bn │ (None, 14, 14, │ 512 │ conv4_block23_1_… │\n",
"│ (BatchNormalizatio… │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block23_1_re… │ (None, 14, 14, │ 0 │ conv4_block23_1_… │\n",
"│ (Activation) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block23_2_co… │ (None, 14, 14, │ 36,864 │ conv4_block23_1_… │\n",
"│ (Conv2D) │ 32) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block23_conc… │ (None, 14, 14, │ 0 │ conv4_block22_co… │\n",
"│ (Concatenate) │ 992) │ │ conv4_block23_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block24_0_bn │ (None, 14, 14, │ 3,968 │ conv4_block23_co… │\n",
"│ (BatchNormalizatio… │ 992) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block24_0_re… │ (None, 14, 14, │ 0 │ conv4_block24_0_… │\n",
"│ (Activation) │ 992) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block24_1_co… │ (None, 14, 14, │ 126,976 │ conv4_block24_0_… │\n",
"│ (Conv2D) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block24_1_bn │ (None, 14, 14, │ 512 │ conv4_block24_1_… │\n",
"│ (BatchNormalizatio… │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block24_1_re… │ (None, 14, 14, │ 0 │ conv4_block24_1_… │\n",
"│ (Activation) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block24_2_co… │ (None, 14, 14, │ 36,864 │ conv4_block24_1_… │\n",
"│ (Conv2D) │ 32) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block24_conc… │ (None, 14, 14, │ 0 │ conv4_block23_co… │\n",
"│ (Concatenate) │ 1024) │ │ conv4_block24_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block25_0_bn │ (None, 14, 14, │ 4,096 │ conv4_block24_co… │\n",
"│ (BatchNormalizatio… │ 1024) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block25_0_re… │ (None, 14, 14, │ 0 │ conv4_block25_0_… │\n",
"│ (Activation) │ 1024) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block25_1_co… │ (None, 14, 14, │ 131,072 │ conv4_block25_0_… │\n",
"│ (Conv2D) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block25_1_bn │ (None, 14, 14, │ 512 │ conv4_block25_1_… │\n",
"│ (BatchNormalizatio… │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block25_1_re… │ (None, 14, 14, │ 0 │ conv4_block25_1_… │\n",
"│ (Activation) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block25_2_co… │ (None, 14, 14, │ 36,864 │ conv4_block25_1_… │\n",
"│ (Conv2D) │ 32) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block25_conc… │ (None, 14, 14, │ 0 │ conv4_block24_co… │\n",
"│ (Concatenate) │ 1056) │ │ conv4_block25_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block26_0_bn │ (None, 14, 14, │ 4,224 │ conv4_block25_co… │\n",
"│ (BatchNormalizatio… │ 1056) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block26_0_re… │ (None, 14, 14, │ 0 │ conv4_block26_0_… │\n",
"│ (Activation) │ 1056) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block26_1_co… │ (None, 14, 14, │ 135,168 │ conv4_block26_0_… │\n",
"│ (Conv2D) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block26_1_bn │ (None, 14, 14, │ 512 │ conv4_block26_1_… │\n",
"│ (BatchNormalizatio… │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block26_1_re… │ (None, 14, 14, │ 0 │ conv4_block26_1_… │\n",
"│ (Activation) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block26_2_co… │ (None, 14, 14, │ 36,864 │ conv4_block26_1_… │\n",
"│ (Conv2D) │ 32) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block26_conc… │ (None, 14, 14, │ 0 │ conv4_block25_co… │\n",
"│ (Concatenate) │ 1088) │ │ conv4_block26_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block27_0_bn │ (None, 14, 14, │ 4,352 │ conv4_block26_co… │\n",
"│ (BatchNormalizatio… │ 1088) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block27_0_re… │ (None, 14, 14, │ 0 │ conv4_block27_0_… │\n",
"│ (Activation) │ 1088) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block27_1_co… │ (None, 14, 14, │ 139,264 │ conv4_block27_0_… │\n",
"│ (Conv2D) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block27_1_bn │ (None, 14, 14, │ 512 │ conv4_block27_1_… │\n",
"│ (BatchNormalizatio… │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block27_1_re… │ (None, 14, 14, │ 0 │ conv4_block27_1_… │\n",
"│ (Activation) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block27_2_co… │ (None, 14, 14, │ 36,864 │ conv4_block27_1_… │\n",
"│ (Conv2D) │ 32) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block27_conc… │ (None, 14, 14, │ 0 │ conv4_block26_co… │\n",
"│ (Concatenate) │ 1120) │ │ conv4_block27_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block28_0_bn │ (None, 14, 14, │ 4,480 │ conv4_block27_co… │\n",
"│ (BatchNormalizatio… │ 1120) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block28_0_re… │ (None, 14, 14, │ 0 │ conv4_block28_0_… │\n",
"│ (Activation) │ 1120) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block28_1_co… │ (None, 14, 14, │ 143,360 │ conv4_block28_0_… │\n",
"│ (Conv2D) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block28_1_bn │ (None, 14, 14, │ 512 │ conv4_block28_1_… │\n",
"│ (BatchNormalizatio… │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block28_1_re… │ (None, 14, 14, │ 0 │ conv4_block28_1_… │\n",
"│ (Activation) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block28_2_co… │ (None, 14, 14, │ 36,864 │ conv4_block28_1_… │\n",
"│ (Conv2D) │ 32) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block28_conc… │ (None, 14, 14, │ 0 │ conv4_block27_co… │\n",
"│ (Concatenate) │ 1152) │ │ conv4_block28_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block29_0_bn │ (None, 14, 14, │ 4,608 │ conv4_block28_co… │\n",
"│ (BatchNormalizatio… │ 1152) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block29_0_re… │ (None, 14, 14, │ 0 │ conv4_block29_0_… │\n",
"│ (Activation) │ 1152) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block29_1_co… │ (None, 14, 14, │ 147,456 │ conv4_block29_0_… │\n",
"│ (Conv2D) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block29_1_bn │ (None, 14, 14, │ 512 │ conv4_block29_1_… │\n",
"│ (BatchNormalizatio… │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block29_1_re… │ (None, 14, 14, │ 0 │ conv4_block29_1_… │\n",
"│ (Activation) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block29_2_co… │ (None, 14, 14, │ 36,864 │ conv4_block29_1_… │\n",
"│ (Conv2D) │ 32) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block29_conc… │ (None, 14, 14, │ 0 │ conv4_block28_co… │\n",
"│ (Concatenate) │ 1184) │ │ conv4_block29_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block30_0_bn │ (None, 14, 14, │ 4,736 │ conv4_block29_co… │\n",
"│ (BatchNormalizatio… │ 1184) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block30_0_re… │ (None, 14, 14, │ 0 │ conv4_block30_0_… │\n",
"│ (Activation) │ 1184) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block30_1_co… │ (None, 14, 14, │ 151,552 │ conv4_block30_0_… │\n",
"│ (Conv2D) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block30_1_bn │ (None, 14, 14, │ 512 │ conv4_block30_1_… │\n",
"│ (BatchNormalizatio… │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block30_1_re… │ (None, 14, 14, │ 0 │ conv4_block30_1_… │\n",
"│ (Activation) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block30_2_co… │ (None, 14, 14, │ 36,864 │ conv4_block30_1_… │\n",
"│ (Conv2D) │ 32) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block30_conc… │ (None, 14, 14, │ 0 │ conv4_block29_co… │\n",
"│ (Concatenate) │ 1216) │ │ conv4_block30_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block31_0_bn │ (None, 14, 14, │ 4,864 │ conv4_block30_co… │\n",
"│ (BatchNormalizatio… │ 1216) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block31_0_re… │ (None, 14, 14, │ 0 │ conv4_block31_0_… │\n",
"│ (Activation) │ 1216) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block31_1_co… │ (None, 14, 14, │ 155,648 │ conv4_block31_0_… │\n",
"│ (Conv2D) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block31_1_bn │ (None, 14, 14, │ 512 │ conv4_block31_1_… │\n",
"│ (BatchNormalizatio… │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block31_1_re… │ (None, 14, 14, │ 0 │ conv4_block31_1_… │\n",
"│ (Activation) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block31_2_co… │ (None, 14, 14, │ 36,864 │ conv4_block31_1_… │\n",
"│ (Conv2D) │ 32) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block31_conc… │ (None, 14, 14, │ 0 │ conv4_block30_co… │\n",
"│ (Concatenate) │ 1248) │ │ conv4_block31_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block32_0_bn │ (None, 14, 14, │ 4,992 │ conv4_block31_co… │\n",
"│ (BatchNormalizatio… │ 1248) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block32_0_re… │ (None, 14, 14, │ 0 │ conv4_block32_0_… │\n",
"│ (Activation) │ 1248) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block32_1_co… │ (None, 14, 14, │ 159,744 │ conv4_block32_0_… │\n",
"│ (Conv2D) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block32_1_bn │ (None, 14, 14, │ 512 │ conv4_block32_1_… │\n",
"│ (BatchNormalizatio… │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block32_1_re… │ (None, 14, 14, │ 0 │ conv4_block32_1_… │\n",
"│ (Activation) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block32_2_co… │ (None, 14, 14, │ 36,864 │ conv4_block32_1_… │\n",
"│ (Conv2D) │ 32) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block32_conc… │ (None, 14, 14, │ 0 │ conv4_block31_co… │\n",
"│ (Concatenate) │ 1280) │ │ conv4_block32_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block33_0_bn │ (None, 14, 14, │ 5,120 │ conv4_block32_co… │\n",
"│ (BatchNormalizatio… │ 1280) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block33_0_re… │ (None, 14, 14, │ 0 │ conv4_block33_0_… │\n",
"│ (Activation) │ 1280) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block33_1_co… │ (None, 14, 14, │ 163,840 │ conv4_block33_0_… │\n",
"│ (Conv2D) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block33_1_bn │ (None, 14, 14, │ 512 │ conv4_block33_1_… │\n",
"│ (BatchNormalizatio… │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block33_1_re… │ (None, 14, 14, │ 0 │ conv4_block33_1_… │\n",
"│ (Activation) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block33_2_co… │ (None, 14, 14, │ 36,864 │ conv4_block33_1_… │\n",
"│ (Conv2D) │ 32) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block33_conc… │ (None, 14, 14, │ 0 │ conv4_block32_co… │\n",
"│ (Concatenate) │ 1312) │ │ conv4_block33_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block34_0_bn │ (None, 14, 14, │ 5,248 │ conv4_block33_co… │\n",
"│ (BatchNormalizatio… │ 1312) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block34_0_re… │ (None, 14, 14, │ 0 │ conv4_block34_0_… │\n",
"│ (Activation) │ 1312) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block34_1_co… │ (None, 14, 14, │ 167,936 │ conv4_block34_0_… │\n",
"│ (Conv2D) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block34_1_bn │ (None, 14, 14, │ 512 │ conv4_block34_1_… │\n",
"│ (BatchNormalizatio… │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block34_1_re… │ (None, 14, 14, │ 0 │ conv4_block34_1_… │\n",
"│ (Activation) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block34_2_co… │ (None, 14, 14, │ 36,864 │ conv4_block34_1_… │\n",
"│ (Conv2D) │ 32) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block34_conc… │ (None, 14, 14, │ 0 │ conv4_block33_co… │\n",
"│ (Concatenate) │ 1344) │ │ conv4_block34_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block35_0_bn │ (None, 14, 14, │ 5,376 │ conv4_block34_co… │\n",
"│ (BatchNormalizatio… │ 1344) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block35_0_re… │ (None, 14, 14, │ 0 │ conv4_block35_0_… │\n",
"│ (Activation) │ 1344) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block35_1_co… │ (None, 14, 14, │ 172,032 │ conv4_block35_0_… │\n",
"│ (Conv2D) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block35_1_bn │ (None, 14, 14, │ 512 │ conv4_block35_1_… │\n",
"│ (BatchNormalizatio… │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block35_1_re… │ (None, 14, 14, │ 0 │ conv4_block35_1_… │\n",
"│ (Activation) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block35_2_co… │ (None, 14, 14, │ 36,864 │ conv4_block35_1_… │\n",
"│ (Conv2D) │ 32) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block35_conc… │ (None, 14, 14, │ 0 │ conv4_block34_co… │\n",
"│ (Concatenate) │ 1376) │ │ conv4_block35_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block36_0_bn │ (None, 14, 14, │ 5,504 │ conv4_block35_co… │\n",
"│ (BatchNormalizatio… │ 1376) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block36_0_re… │ (None, 14, 14, │ 0 │ conv4_block36_0_… │\n",
"│ (Activation) │ 1376) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block36_1_co… │ (None, 14, 14, │ 176,128 │ conv4_block36_0_… │\n",
"│ (Conv2D) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block36_1_bn │ (None, 14, 14, │ 512 │ conv4_block36_1_… │\n",
"│ (BatchNormalizatio… │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block36_1_re… │ (None, 14, 14, │ 0 │ conv4_block36_1_… │\n",
"│ (Activation) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block36_2_co… │ (None, 14, 14, │ 36,864 │ conv4_block36_1_… │\n",
"│ (Conv2D) │ 32) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block36_conc… │ (None, 14, 14, │ 0 │ conv4_block35_co… │\n",
"│ (Concatenate) │ 1408) │ │ conv4_block36_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block37_0_bn │ (None, 14, 14, │ 5,632 │ conv4_block36_co… │\n",
"│ (BatchNormalizatio… │ 1408) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block37_0_re… │ (None, 14, 14, │ 0 │ conv4_block37_0_… │\n",
"│ (Activation) │ 1408) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block37_1_co… │ (None, 14, 14, │ 180,224 │ conv4_block37_0_… │\n",
"│ (Conv2D) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block37_1_bn │ (None, 14, 14, │ 512 │ conv4_block37_1_… │\n",
"│ (BatchNormalizatio… │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block37_1_re… │ (None, 14, 14, │ 0 │ conv4_block37_1_… │\n",
"│ (Activation) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block37_2_co… │ (None, 14, 14, │ 36,864 │ conv4_block37_1_… │\n",
"│ (Conv2D) │ 32) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block37_conc… │ (None, 14, 14, │ 0 │ conv4_block36_co… │\n",
"│ (Concatenate) │ 1440) │ │ conv4_block37_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block38_0_bn │ (None, 14, 14, │ 5,760 │ conv4_block37_co… │\n",
"│ (BatchNormalizatio… │ 1440) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block38_0_re… │ (None, 14, 14, │ 0 │ conv4_block38_0_… │\n",
"│ (Activation) │ 1440) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block38_1_co… │ (None, 14, 14, │ 184,320 │ conv4_block38_0_… │\n",
"│ (Conv2D) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block38_1_bn │ (None, 14, 14, │ 512 │ conv4_block38_1_… │\n",
"│ (BatchNormalizatio… │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block38_1_re… │ (None, 14, 14, │ 0 │ conv4_block38_1_… │\n",
"│ (Activation) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block38_2_co… │ (None, 14, 14, │ 36,864 │ conv4_block38_1_… │\n",
"│ (Conv2D) │ 32) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block38_conc… │ (None, 14, 14, │ 0 │ conv4_block37_co… │\n",
"│ (Concatenate) │ 1472) │ │ conv4_block38_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block39_0_bn │ (None, 14, 14, │ 5,888 │ conv4_block38_co… │\n",
"│ (BatchNormalizatio… │ 1472) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block39_0_re… │ (None, 14, 14, │ 0 │ conv4_block39_0_… │\n",
"│ (Activation) │ 1472) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block39_1_co… │ (None, 14, 14, │ 188,416 │ conv4_block39_0_… │\n",
"│ (Conv2D) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block39_1_bn │ (None, 14, 14, │ 512 │ conv4_block39_1_… │\n",
"│ (BatchNormalizatio… │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block39_1_re… │ (None, 14, 14, │ 0 │ conv4_block39_1_… │\n",
"│ (Activation) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block39_2_co… │ (None, 14, 14, │ 36,864 │ conv4_block39_1_… │\n",
"│ (Conv2D) │ 32) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block39_conc… │ (None, 14, 14, │ 0 │ conv4_block38_co… │\n",
"│ (Concatenate) │ 1504) │ │ conv4_block39_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block40_0_bn │ (None, 14, 14, │ 6,016 │ conv4_block39_co… │\n",
"│ (BatchNormalizatio… │ 1504) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block40_0_re… │ (None, 14, 14, │ 0 │ conv4_block40_0_… │\n",
"│ (Activation) │ 1504) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block40_1_co… │ (None, 14, 14, │ 192,512 │ conv4_block40_0_… │\n",
"│ (Conv2D) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block40_1_bn │ (None, 14, 14, │ 512 │ conv4_block40_1_… │\n",
"│ (BatchNormalizatio… │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block40_1_re… │ (None, 14, 14, │ 0 │ conv4_block40_1_… │\n",
"│ (Activation) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block40_2_co… │ (None, 14, 14, │ 36,864 │ conv4_block40_1_… │\n",
"│ (Conv2D) │ 32) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block40_conc… │ (None, 14, 14, │ 0 │ conv4_block39_co… │\n",
"│ (Concatenate) │ 1536) │ │ conv4_block40_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block41_0_bn │ (None, 14, 14, │ 6,144 │ conv4_block40_co… │\n",
"│ (BatchNormalizatio… │ 1536) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block41_0_re… │ (None, 14, 14, │ 0 │ conv4_block41_0_… │\n",
"│ (Activation) │ 1536) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block41_1_co… │ (None, 14, 14, │ 196,608 │ conv4_block41_0_… │\n",
"│ (Conv2D) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block41_1_bn │ (None, 14, 14, │ 512 │ conv4_block41_1_… │\n",
"│ (BatchNormalizatio… │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block41_1_re… │ (None, 14, 14, │ 0 │ conv4_block41_1_… │\n",
"│ (Activation) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block41_2_co… │ (None, 14, 14, │ 36,864 │ conv4_block41_1_… │\n",
"│ (Conv2D) │ 32) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block41_conc… │ (None, 14, 14, │ 0 │ conv4_block40_co… │\n",
"│ (Concatenate) │ 1568) │ │ conv4_block41_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block42_0_bn │ (None, 14, 14, │ 6,272 │ conv4_block41_co… │\n",
"│ (BatchNormalizatio… │ 1568) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block42_0_re… │ (None, 14, 14, │ 0 │ conv4_block42_0_… │\n",
"│ (Activation) │ 1568) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block42_1_co… │ (None, 14, 14, │ 200,704 │ conv4_block42_0_… │\n",
"│ (Conv2D) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block42_1_bn │ (None, 14, 14, │ 512 │ conv4_block42_1_… │\n",
"│ (BatchNormalizatio… │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block42_1_re… │ (None, 14, 14, │ 0 │ conv4_block42_1_… │\n",
"│ (Activation) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block42_2_co… │ (None, 14, 14, │ 36,864 │ conv4_block42_1_… │\n",
"│ (Conv2D) │ 32) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block42_conc… │ (None, 14, 14, │ 0 │ conv4_block41_co… │\n",
"│ (Concatenate) │ 1600) │ │ conv4_block42_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block43_0_bn │ (None, 14, 14, │ 6,400 │ conv4_block42_co… │\n",
"│ (BatchNormalizatio… │ 1600) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block43_0_re… │ (None, 14, 14, │ 0 │ conv4_block43_0_… │\n",
"│ (Activation) │ 1600) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block43_1_co… │ (None, 14, 14, │ 204,800 │ conv4_block43_0_… │\n",
"│ (Conv2D) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block43_1_bn │ (None, 14, 14, │ 512 │ conv4_block43_1_… │\n",
"│ (BatchNormalizatio… │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block43_1_re… │ (None, 14, 14, │ 0 │ conv4_block43_1_… │\n",
"│ (Activation) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block43_2_co… │ (None, 14, 14, │ 36,864 │ conv4_block43_1_… │\n",
"│ (Conv2D) │ 32) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block43_conc… │ (None, 14, 14, │ 0 │ conv4_block42_co… │\n",
"│ (Concatenate) │ 1632) │ │ conv4_block43_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block44_0_bn │ (None, 14, 14, │ 6,528 │ conv4_block43_co… │\n",
"│ (BatchNormalizatio… │ 1632) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block44_0_re… │ (None, 14, 14, │ 0 │ conv4_block44_0_… │\n",
"│ (Activation) │ 1632) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block44_1_co… │ (None, 14, 14, │ 208,896 │ conv4_block44_0_… │\n",
"│ (Conv2D) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block44_1_bn │ (None, 14, 14, │ 512 │ conv4_block44_1_… │\n",
"│ (BatchNormalizatio… │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block44_1_re… │ (None, 14, 14, │ 0 │ conv4_block44_1_… │\n",
"│ (Activation) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block44_2_co… │ (None, 14, 14, │ 36,864 │ conv4_block44_1_… │\n",
"│ (Conv2D) │ 32) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block44_conc… │ (None, 14, 14, │ 0 │ conv4_block43_co… │\n",
"│ (Concatenate) │ 1664) │ │ conv4_block44_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block45_0_bn │ (None, 14, 14, │ 6,656 │ conv4_block44_co… │\n",
"│ (BatchNormalizatio… │ 1664) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block45_0_re… │ (None, 14, 14, │ 0 │ conv4_block45_0_… │\n",
"│ (Activation) │ 1664) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block45_1_co… │ (None, 14, 14, │ 212,992 │ conv4_block45_0_… │\n",
"│ (Conv2D) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block45_1_bn │ (None, 14, 14, │ 512 │ conv4_block45_1_… │\n",
"│ (BatchNormalizatio… │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block45_1_re… │ (None, 14, 14, │ 0 │ conv4_block45_1_… │\n",
"│ (Activation) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block45_2_co… │ (None, 14, 14, │ 36,864 │ conv4_block45_1_… │\n",
"│ (Conv2D) │ 32) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block45_conc… │ (None, 14, 14, │ 0 │ conv4_block44_co… │\n",
"│ (Concatenate) │ 1696) │ │ conv4_block45_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block46_0_bn │ (None, 14, 14, │ 6,784 │ conv4_block45_co… │\n",
"│ (BatchNormalizatio… │ 1696) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block46_0_re… │ (None, 14, 14, │ 0 │ conv4_block46_0_… │\n",
"│ (Activation) │ 1696) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block46_1_co… │ (None, 14, 14, │ 217,088 │ conv4_block46_0_… │\n",
"│ (Conv2D) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block46_1_bn │ (None, 14, 14, │ 512 │ conv4_block46_1_… │\n",
"│ (BatchNormalizatio… │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block46_1_re… │ (None, 14, 14, │ 0 │ conv4_block46_1_… │\n",
"│ (Activation) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block46_2_co… │ (None, 14, 14, │ 36,864 │ conv4_block46_1_… │\n",
"│ (Conv2D) │ 32) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block46_conc… │ (None, 14, 14, │ 0 │ conv4_block45_co… │\n",
"│ (Concatenate) │ 1728) │ │ conv4_block46_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block47_0_bn │ (None, 14, 14, │ 6,912 │ conv4_block46_co… │\n",
"│ (BatchNormalizatio… │ 1728) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block47_0_re… │ (None, 14, 14, │ 0 │ conv4_block47_0_… │\n",
"│ (Activation) │ 1728) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block47_1_co… │ (None, 14, 14, │ 221,184 │ conv4_block47_0_… │\n",
"│ (Conv2D) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block47_1_bn │ (None, 14, 14, │ 512 │ conv4_block47_1_… │\n",
"│ (BatchNormalizatio… │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block47_1_re… │ (None, 14, 14, │ 0 │ conv4_block47_1_… │\n",
"│ (Activation) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block47_2_co… │ (None, 14, 14, │ 36,864 │ conv4_block47_1_… │\n",
"│ (Conv2D) │ 32) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block47_conc… │ (None, 14, 14, │ 0 │ conv4_block46_co… │\n",
"│ (Concatenate) │ 1760) │ │ conv4_block47_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block48_0_bn │ (None, 14, 14, │ 7,040 │ conv4_block47_co… │\n",
"│ (BatchNormalizatio… │ 1760) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block48_0_re… │ (None, 14, 14, │ 0 │ conv4_block48_0_… │\n",
"│ (Activation) │ 1760) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block48_1_co… │ (None, 14, 14, │ 225,280 │ conv4_block48_0_… │\n",
"│ (Conv2D) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block48_1_bn │ (None, 14, 14, │ 512 │ conv4_block48_1_… │\n",
"│ (BatchNormalizatio… │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block48_1_re… │ (None, 14, 14, │ 0 │ conv4_block48_1_… │\n",
"│ (Activation) │ 128) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block48_2_co… │ (None, 14, 14, │ 36,864 │ conv4_block48_1_… │\n",
"│ (Conv2D) │ 32) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block48_conc… │ (None, 14, 14, │ 0 │ conv4_block47_co… │\n",
"│ (Concatenate) │ 1792) │ │ conv4_block48_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ pool4_bn │ (None, 14, 14, │ 7,168 │ conv4_block48_co… │\n",
"│ (BatchNormalizatio… │ 1792) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ pool4_relu │ (None, 14, 14, │ 0 │ pool4_bn[0][0] │\n",
"│ (Activation) │ 1792) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ pool4_conv (Conv2D) │ (None, 14, 14, │ 1,605,632 │ pool4_relu[0][0] │\n",
"│ │ 896) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ pool4_pool │ (None, 7, 7, 896) │ 0 │ pool4_conv[0][0] │\n",
"│ (AveragePooling2D) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block1_0_bn │ (None, 7, 7, 896) │ 3,584 │ pool4_pool[0][0] │\n",
"│ (BatchNormalizatio… │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block1_0_relu │ (None, 7, 7, 896) │ 0 │ conv5_block1_0_b… │\n",
"│ (Activation) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block1_1_conv │ (None, 7, 7, 128) │ 114,688 │ conv5_block1_0_r… │\n",
"│ (Conv2D) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block1_1_bn │ (None, 7, 7, 128) │ 512 │ conv5_block1_1_c… │\n",
"│ (BatchNormalizatio… │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block1_1_relu │ (None, 7, 7, 128) │ 0 │ conv5_block1_1_b… │\n",
"│ (Activation) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block1_2_conv │ (None, 7, 7, 32) │ 36,864 │ conv5_block1_1_r… │\n",
"│ (Conv2D) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block1_concat │ (None, 7, 7, 928) │ 0 │ pool4_pool[0][0], │\n",
"│ (Concatenate) │ │ │ conv5_block1_2_c… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block2_0_bn │ (None, 7, 7, 928) │ 3,712 │ conv5_block1_con… │\n",
"│ (BatchNormalizatio… │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block2_0_relu │ (None, 7, 7, 928) │ 0 │ conv5_block2_0_b… │\n",
"│ (Activation) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block2_1_conv │ (None, 7, 7, 128) │ 118,784 │ conv5_block2_0_r… │\n",
"│ (Conv2D) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block2_1_bn │ (None, 7, 7, 128) │ 512 │ conv5_block2_1_c… │\n",
"│ (BatchNormalizatio… │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block2_1_relu │ (None, 7, 7, 128) │ 0 │ conv5_block2_1_b… │\n",
"│ (Activation) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block2_2_conv │ (None, 7, 7, 32) │ 36,864 │ conv5_block2_1_r… │\n",
"│ (Conv2D) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block2_concat │ (None, 7, 7, 960) │ 0 │ conv5_block1_con… │\n",
"│ (Concatenate) │ │ │ conv5_block2_2_c… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block3_0_bn │ (None, 7, 7, 960) │ 3,840 │ conv5_block2_con… │\n",
"│ (BatchNormalizatio… │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block3_0_relu │ (None, 7, 7, 960) │ 0 │ conv5_block3_0_b… │\n",
"│ (Activation) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block3_1_conv │ (None, 7, 7, 128) │ 122,880 │ conv5_block3_0_r… │\n",
"│ (Conv2D) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block3_1_bn │ (None, 7, 7, 128) │ 512 │ conv5_block3_1_c… │\n",
"│ (BatchNormalizatio… │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block3_1_relu │ (None, 7, 7, 128) │ 0 │ conv5_block3_1_b… │\n",
"│ (Activation) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block3_2_conv │ (None, 7, 7, 32) │ 36,864 │ conv5_block3_1_r… │\n",
"│ (Conv2D) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block3_concat │ (None, 7, 7, 992) │ 0 │ conv5_block2_con… │\n",
"│ (Concatenate) │ │ │ conv5_block3_2_c… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block4_0_bn │ (None, 7, 7, 992) │ 3,968 │ conv5_block3_con… │\n",
"│ (BatchNormalizatio… │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block4_0_relu │ (None, 7, 7, 992) │ 0 │ conv5_block4_0_b… │\n",
"│ (Activation) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block4_1_conv │ (None, 7, 7, 128) │ 126,976 │ conv5_block4_0_r… │\n",
"│ (Conv2D) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block4_1_bn │ (None, 7, 7, 128) │ 512 │ conv5_block4_1_c… │\n",
"│ (BatchNormalizatio… │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block4_1_relu │ (None, 7, 7, 128) │ 0 │ conv5_block4_1_b… │\n",
"│ (Activation) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block4_2_conv │ (None, 7, 7, 32) │ 36,864 │ conv5_block4_1_r… │\n",
"│ (Conv2D) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block4_concat │ (None, 7, 7, │ 0 │ conv5_block3_con… │\n",
"│ (Concatenate) │ 1024) │ │ conv5_block4_2_c… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block5_0_bn │ (None, 7, 7, │ 4,096 │ conv5_block4_con… │\n",
"│ (BatchNormalizatio… │ 1024) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block5_0_relu │ (None, 7, 7, │ 0 │ conv5_block5_0_b… │\n",
"│ (Activation) │ 1024) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block5_1_conv │ (None, 7, 7, 128) │ 131,072 │ conv5_block5_0_r… │\n",
"│ (Conv2D) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block5_1_bn │ (None, 7, 7, 128) │ 512 │ conv5_block5_1_c… │\n",
"│ (BatchNormalizatio… │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block5_1_relu │ (None, 7, 7, 128) │ 0 │ conv5_block5_1_b… │\n",
"│ (Activation) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block5_2_conv │ (None, 7, 7, 32) │ 36,864 │ conv5_block5_1_r… │\n",
"│ (Conv2D) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block5_concat │ (None, 7, 7, │ 0 │ conv5_block4_con… │\n",
"│ (Concatenate) │ 1056) │ │ conv5_block5_2_c… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block6_0_bn │ (None, 7, 7, │ 4,224 │ conv5_block5_con… │\n",
"│ (BatchNormalizatio… │ 1056) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block6_0_relu │ (None, 7, 7, │ 0 │ conv5_block6_0_b… │\n",
"│ (Activation) │ 1056) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block6_1_conv │ (None, 7, 7, 128) │ 135,168 │ conv5_block6_0_r… │\n",
"│ (Conv2D) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block6_1_bn │ (None, 7, 7, 128) │ 512 │ conv5_block6_1_c… │\n",
"│ (BatchNormalizatio… │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block6_1_relu │ (None, 7, 7, 128) │ 0 │ conv5_block6_1_b… │\n",
"│ (Activation) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block6_2_conv │ (None, 7, 7, 32) │ 36,864 │ conv5_block6_1_r… │\n",
"│ (Conv2D) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block6_concat │ (None, 7, 7, │ 0 │ conv5_block5_con… │\n",
"│ (Concatenate) │ 1088) │ │ conv5_block6_2_c… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block7_0_bn │ (None, 7, 7, │ 4,352 │ conv5_block6_con… │\n",
"│ (BatchNormalizatio… │ 1088) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block7_0_relu │ (None, 7, 7, │ 0 │ conv5_block7_0_b… │\n",
"│ (Activation) │ 1088) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block7_1_conv │ (None, 7, 7, 128) │ 139,264 │ conv5_block7_0_r… │\n",
"│ (Conv2D) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block7_1_bn │ (None, 7, 7, 128) │ 512 │ conv5_block7_1_c… │\n",
"│ (BatchNormalizatio… │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block7_1_relu │ (None, 7, 7, 128) │ 0 │ conv5_block7_1_b… │\n",
"│ (Activation) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block7_2_conv │ (None, 7, 7, 32) │ 36,864 │ conv5_block7_1_r… │\n",
"│ (Conv2D) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block7_concat │ (None, 7, 7, │ 0 │ conv5_block6_con… │\n",
"│ (Concatenate) │ 1120) │ │ conv5_block7_2_c… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block8_0_bn │ (None, 7, 7, │ 4,480 │ conv5_block7_con… │\n",
"│ (BatchNormalizatio… │ 1120) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block8_0_relu │ (None, 7, 7, │ 0 │ conv5_block8_0_b… │\n",
"│ (Activation) │ 1120) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block8_1_conv │ (None, 7, 7, 128) │ 143,360 │ conv5_block8_0_r… │\n",
"│ (Conv2D) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block8_1_bn │ (None, 7, 7, 128) │ 512 │ conv5_block8_1_c… │\n",
"│ (BatchNormalizatio… │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block8_1_relu │ (None, 7, 7, 128) │ 0 │ conv5_block8_1_b… │\n",
"│ (Activation) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block8_2_conv │ (None, 7, 7, 32) │ 36,864 │ conv5_block8_1_r… │\n",
"│ (Conv2D) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block8_concat │ (None, 7, 7, │ 0 │ conv5_block7_con… │\n",
"│ (Concatenate) │ 1152) │ │ conv5_block8_2_c… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block9_0_bn │ (None, 7, 7, │ 4,608 │ conv5_block8_con… │\n",
"│ (BatchNormalizatio… │ 1152) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block9_0_relu │ (None, 7, 7, │ 0 │ conv5_block9_0_b… │\n",
"│ (Activation) │ 1152) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block9_1_conv │ (None, 7, 7, 128) │ 147,456 │ conv5_block9_0_r… │\n",
"│ (Conv2D) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block9_1_bn │ (None, 7, 7, 128) │ 512 │ conv5_block9_1_c… │\n",
"│ (BatchNormalizatio… │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block9_1_relu │ (None, 7, 7, 128) │ 0 │ conv5_block9_1_b… │\n",
"│ (Activation) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block9_2_conv │ (None, 7, 7, 32) │ 36,864 │ conv5_block9_1_r… │\n",
"│ (Conv2D) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block9_concat │ (None, 7, 7, │ 0 │ conv5_block8_con… │\n",
"│ (Concatenate) │ 1184) │ │ conv5_block9_2_c… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block10_0_bn │ (None, 7, 7, │ 4,736 │ conv5_block9_con… │\n",
"│ (BatchNormalizatio… │ 1184) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block10_0_re… │ (None, 7, 7, │ 0 │ conv5_block10_0_… │\n",
"│ (Activation) │ 1184) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block10_1_co… │ (None, 7, 7, 128) │ 151,552 │ conv5_block10_0_… │\n",
"│ (Conv2D) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block10_1_bn │ (None, 7, 7, 128) │ 512 │ conv5_block10_1_… │\n",
"│ (BatchNormalizatio… │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block10_1_re… │ (None, 7, 7, 128) │ 0 │ conv5_block10_1_… │\n",
"│ (Activation) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block10_2_co… │ (None, 7, 7, 32) │ 36,864 │ conv5_block10_1_… │\n",
"│ (Conv2D) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block10_conc… │ (None, 7, 7, │ 0 │ conv5_block9_con… │\n",
"│ (Concatenate) │ 1216) │ │ conv5_block10_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block11_0_bn │ (None, 7, 7, │ 4,864 │ conv5_block10_co… │\n",
"│ (BatchNormalizatio… │ 1216) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block11_0_re… │ (None, 7, 7, │ 0 │ conv5_block11_0_… │\n",
"│ (Activation) │ 1216) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block11_1_co… │ (None, 7, 7, 128) │ 155,648 │ conv5_block11_0_… │\n",
"│ (Conv2D) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block11_1_bn │ (None, 7, 7, 128) │ 512 │ conv5_block11_1_… │\n",
"│ (BatchNormalizatio… │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block11_1_re… │ (None, 7, 7, 128) │ 0 │ conv5_block11_1_… │\n",
"│ (Activation) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block11_2_co… │ (None, 7, 7, 32) │ 36,864 │ conv5_block11_1_… │\n",
"│ (Conv2D) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block11_conc… │ (None, 7, 7, │ 0 │ conv5_block10_co… │\n",
"│ (Concatenate) │ 1248) │ │ conv5_block11_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block12_0_bn │ (None, 7, 7, │ 4,992 │ conv5_block11_co… │\n",
"│ (BatchNormalizatio… │ 1248) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block12_0_re… │ (None, 7, 7, │ 0 │ conv5_block12_0_… │\n",
"│ (Activation) │ 1248) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block12_1_co… │ (None, 7, 7, 128) │ 159,744 │ conv5_block12_0_… │\n",
"│ (Conv2D) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block12_1_bn │ (None, 7, 7, 128) │ 512 │ conv5_block12_1_… │\n",
"│ (BatchNormalizatio… │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block12_1_re… │ (None, 7, 7, 128) │ 0 │ conv5_block12_1_… │\n",
"│ (Activation) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block12_2_co… │ (None, 7, 7, 32) │ 36,864 │ conv5_block12_1_… │\n",
"│ (Conv2D) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block12_conc… │ (None, 7, 7, │ 0 │ conv5_block11_co… │\n",
"│ (Concatenate) │ 1280) │ │ conv5_block12_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block13_0_bn │ (None, 7, 7, │ 5,120 │ conv5_block12_co… │\n",
"│ (BatchNormalizatio… │ 1280) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block13_0_re… │ (None, 7, 7, │ 0 │ conv5_block13_0_… │\n",
"│ (Activation) │ 1280) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block13_1_co… │ (None, 7, 7, 128) │ 163,840 │ conv5_block13_0_… │\n",
"│ (Conv2D) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block13_1_bn │ (None, 7, 7, 128) │ 512 │ conv5_block13_1_… │\n",
"│ (BatchNormalizatio… │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block13_1_re… │ (None, 7, 7, 128) │ 0 │ conv5_block13_1_… │\n",
"│ (Activation) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block13_2_co… │ (None, 7, 7, 32) │ 36,864 │ conv5_block13_1_… │\n",
"│ (Conv2D) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block13_conc… │ (None, 7, 7, │ 0 │ conv5_block12_co… │\n",
"│ (Concatenate) │ 1312) │ │ conv5_block13_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block14_0_bn │ (None, 7, 7, │ 5,248 │ conv5_block13_co… │\n",
"│ (BatchNormalizatio… │ 1312) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block14_0_re… │ (None, 7, 7, │ 0 │ conv5_block14_0_… │\n",
"│ (Activation) │ 1312) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block14_1_co… │ (None, 7, 7, 128) │ 167,936 │ conv5_block14_0_… │\n",
"│ (Conv2D) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block14_1_bn │ (None, 7, 7, 128) │ 512 │ conv5_block14_1_… │\n",
"│ (BatchNormalizatio… │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block14_1_re… │ (None, 7, 7, 128) │ 0 │ conv5_block14_1_… │\n",
"│ (Activation) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block14_2_co… │ (None, 7, 7, 32) │ 36,864 │ conv5_block14_1_… │\n",
"│ (Conv2D) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block14_conc… │ (None, 7, 7, │ 0 │ conv5_block13_co… │\n",
"│ (Concatenate) │ 1344) │ │ conv5_block14_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block15_0_bn │ (None, 7, 7, │ 5,376 │ conv5_block14_co… │\n",
"│ (BatchNormalizatio… │ 1344) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block15_0_re… │ (None, 7, 7, │ 0 │ conv5_block15_0_… │\n",
"│ (Activation) │ 1344) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block15_1_co… │ (None, 7, 7, 128) │ 172,032 │ conv5_block15_0_… │\n",
"│ (Conv2D) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block15_1_bn │ (None, 7, 7, 128) │ 512 │ conv5_block15_1_… │\n",
"│ (BatchNormalizatio… │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block15_1_re… │ (None, 7, 7, 128) │ 0 │ conv5_block15_1_… │\n",
"│ (Activation) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block15_2_co… │ (None, 7, 7, 32) │ 36,864 │ conv5_block15_1_… │\n",
"│ (Conv2D) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block15_conc… │ (None, 7, 7, │ 0 │ conv5_block14_co… │\n",
"│ (Concatenate) │ 1376) │ │ conv5_block15_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block16_0_bn │ (None, 7, 7, │ 5,504 │ conv5_block15_co… │\n",
"│ (BatchNormalizatio… │ 1376) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block16_0_re… │ (None, 7, 7, │ 0 │ conv5_block16_0_… │\n",
"│ (Activation) │ 1376) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block16_1_co… │ (None, 7, 7, 128) │ 176,128 │ conv5_block16_0_… │\n",
"│ (Conv2D) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block16_1_bn │ (None, 7, 7, 128) │ 512 │ conv5_block16_1_… │\n",
"│ (BatchNormalizatio… │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block16_1_re… │ (None, 7, 7, 128) │ 0 │ conv5_block16_1_… │\n",
"│ (Activation) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block16_2_co… │ (None, 7, 7, 32) │ 36,864 │ conv5_block16_1_… │\n",
"│ (Conv2D) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block16_conc… │ (None, 7, 7, │ 0 │ conv5_block15_co… │\n",
"│ (Concatenate) │ 1408) │ │ conv5_block16_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block17_0_bn │ (None, 7, 7, │ 5,632 │ conv5_block16_co… │\n",
"│ (BatchNormalizatio… │ 1408) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block17_0_re… │ (None, 7, 7, │ 0 │ conv5_block17_0_… │\n",
"│ (Activation) │ 1408) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block17_1_co… │ (None, 7, 7, 128) │ 180,224 │ conv5_block17_0_… │\n",
"│ (Conv2D) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block17_1_bn │ (None, 7, 7, 128) │ 512 │ conv5_block17_1_… │\n",
"│ (BatchNormalizatio… │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block17_1_re… │ (None, 7, 7, 128) │ 0 │ conv5_block17_1_… │\n",
"│ (Activation) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block17_2_co… │ (None, 7, 7, 32) │ 36,864 │ conv5_block17_1_… │\n",
"│ (Conv2D) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block17_conc… │ (None, 7, 7, │ 0 │ conv5_block16_co… │\n",
"│ (Concatenate) │ 1440) │ │ conv5_block17_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block18_0_bn │ (None, 7, 7, │ 5,760 │ conv5_block17_co… │\n",
"│ (BatchNormalizatio… │ 1440) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block18_0_re… │ (None, 7, 7, │ 0 │ conv5_block18_0_… │\n",
"│ (Activation) │ 1440) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block18_1_co… │ (None, 7, 7, 128) │ 184,320 │ conv5_block18_0_… │\n",
"│ (Conv2D) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block18_1_bn │ (None, 7, 7, 128) │ 512 │ conv5_block18_1_… │\n",
"│ (BatchNormalizatio… │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block18_1_re… │ (None, 7, 7, 128) │ 0 │ conv5_block18_1_… │\n",
"│ (Activation) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block18_2_co… │ (None, 7, 7, 32) │ 36,864 │ conv5_block18_1_… │\n",
"│ (Conv2D) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block18_conc… │ (None, 7, 7, │ 0 │ conv5_block17_co… │\n",
"│ (Concatenate) │ 1472) │ │ conv5_block18_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block19_0_bn │ (None, 7, 7, │ 5,888 │ conv5_block18_co… │\n",
"│ (BatchNormalizatio… │ 1472) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block19_0_re… │ (None, 7, 7, │ 0 │ conv5_block19_0_… │\n",
"│ (Activation) │ 1472) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block19_1_co… │ (None, 7, 7, 128) │ 188,416 │ conv5_block19_0_… │\n",
"│ (Conv2D) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block19_1_bn │ (None, 7, 7, 128) │ 512 │ conv5_block19_1_… │\n",
"│ (BatchNormalizatio… │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block19_1_re… │ (None, 7, 7, 128) │ 0 │ conv5_block19_1_… │\n",
"│ (Activation) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block19_2_co… │ (None, 7, 7, 32) │ 36,864 │ conv5_block19_1_… │\n",
"│ (Conv2D) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block19_conc… │ (None, 7, 7, │ 0 │ conv5_block18_co… │\n",
"│ (Concatenate) │ 1504) │ │ conv5_block19_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block20_0_bn │ (None, 7, 7, │ 6,016 │ conv5_block19_co… │\n",
"│ (BatchNormalizatio… │ 1504) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block20_0_re… │ (None, 7, 7, │ 0 │ conv5_block20_0_… │\n",
"│ (Activation) │ 1504) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block20_1_co… │ (None, 7, 7, 128) │ 192,512 │ conv5_block20_0_… │\n",
"│ (Conv2D) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block20_1_bn │ (None, 7, 7, 128) │ 512 │ conv5_block20_1_… │\n",
"│ (BatchNormalizatio… │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block20_1_re… │ (None, 7, 7, 128) │ 0 │ conv5_block20_1_… │\n",
"│ (Activation) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block20_2_co… │ (None, 7, 7, 32) │ 36,864 │ conv5_block20_1_… │\n",
"│ (Conv2D) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block20_conc… │ (None, 7, 7, │ 0 │ conv5_block19_co… │\n",
"│ (Concatenate) │ 1536) │ │ conv5_block20_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block21_0_bn │ (None, 7, 7, │ 6,144 │ conv5_block20_co… │\n",
"│ (BatchNormalizatio… │ 1536) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block21_0_re… │ (None, 7, 7, │ 0 │ conv5_block21_0_… │\n",
"│ (Activation) │ 1536) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block21_1_co… │ (None, 7, 7, 128) │ 196,608 │ conv5_block21_0_… │\n",
"│ (Conv2D) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block21_1_bn │ (None, 7, 7, 128) │ 512 │ conv5_block21_1_… │\n",
"│ (BatchNormalizatio… │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block21_1_re… │ (None, 7, 7, 128) │ 0 │ conv5_block21_1_… │\n",
"│ (Activation) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block21_2_co… │ (None, 7, 7, 32) │ 36,864 │ conv5_block21_1_… │\n",
"│ (Conv2D) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block21_conc… │ (None, 7, 7, │ 0 │ conv5_block20_co… │\n",
"│ (Concatenate) │ 1568) │ │ conv5_block21_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block22_0_bn │ (None, 7, 7, │ 6,272 │ conv5_block21_co… │\n",
"│ (BatchNormalizatio… │ 1568) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block22_0_re… │ (None, 7, 7, │ 0 │ conv5_block22_0_… │\n",
"│ (Activation) │ 1568) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block22_1_co… │ (None, 7, 7, 128) │ 200,704 │ conv5_block22_0_… │\n",
"│ (Conv2D) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block22_1_bn │ (None, 7, 7, 128) │ 512 │ conv5_block22_1_… │\n",
"│ (BatchNormalizatio… │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block22_1_re… │ (None, 7, 7, 128) │ 0 │ conv5_block22_1_… │\n",
"│ (Activation) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block22_2_co… │ (None, 7, 7, 32) │ 36,864 │ conv5_block22_1_… │\n",
"│ (Conv2D) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block22_conc… │ (None, 7, 7, │ 0 │ conv5_block21_co… │\n",
"│ (Concatenate) │ 1600) │ │ conv5_block22_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block23_0_bn │ (None, 7, 7, │ 6,400 │ conv5_block22_co… │\n",
"│ (BatchNormalizatio… │ 1600) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block23_0_re… │ (None, 7, 7, │ 0 │ conv5_block23_0_… │\n",
"│ (Activation) │ 1600) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block23_1_co… │ (None, 7, 7, 128) │ 204,800 │ conv5_block23_0_… │\n",
"│ (Conv2D) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block23_1_bn │ (None, 7, 7, 128) │ 512 │ conv5_block23_1_… │\n",
"│ (BatchNormalizatio… │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block23_1_re… │ (None, 7, 7, 128) │ 0 │ conv5_block23_1_… │\n",
"│ (Activation) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block23_2_co… │ (None, 7, 7, 32) │ 36,864 │ conv5_block23_1_… │\n",
"│ (Conv2D) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block23_conc… │ (None, 7, 7, │ 0 │ conv5_block22_co… │\n",
"│ (Concatenate) │ 1632) │ │ conv5_block23_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block24_0_bn │ (None, 7, 7, │ 6,528 │ conv5_block23_co… │\n",
"│ (BatchNormalizatio… │ 1632) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block24_0_re… │ (None, 7, 7, │ 0 │ conv5_block24_0_… │\n",
"│ (Activation) │ 1632) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block24_1_co… │ (None, 7, 7, 128) │ 208,896 │ conv5_block24_0_… │\n",
"│ (Conv2D) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block24_1_bn │ (None, 7, 7, 128) │ 512 │ conv5_block24_1_… │\n",
"│ (BatchNormalizatio… │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block24_1_re… │ (None, 7, 7, 128) │ 0 │ conv5_block24_1_… │\n",
"│ (Activation) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block24_2_co… │ (None, 7, 7, 32) │ 36,864 │ conv5_block24_1_… │\n",
"│ (Conv2D) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block24_conc… │ (None, 7, 7, │ 0 │ conv5_block23_co… │\n",
"│ (Concatenate) │ 1664) │ │ conv5_block24_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block25_0_bn │ (None, 7, 7, │ 6,656 │ conv5_block24_co… │\n",
"│ (BatchNormalizatio… │ 1664) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block25_0_re… │ (None, 7, 7, │ 0 │ conv5_block25_0_… │\n",
"│ (Activation) │ 1664) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block25_1_co… │ (None, 7, 7, 128) │ 212,992 │ conv5_block25_0_… │\n",
"│ (Conv2D) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block25_1_bn │ (None, 7, 7, 128) │ 512 │ conv5_block25_1_… │\n",
"│ (BatchNormalizatio… │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block25_1_re… │ (None, 7, 7, 128) │ 0 │ conv5_block25_1_… │\n",
"│ (Activation) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block25_2_co… │ (None, 7, 7, 32) │ 36,864 │ conv5_block25_1_… │\n",
"│ (Conv2D) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block25_conc… │ (None, 7, 7, │ 0 │ conv5_block24_co… │\n",
"│ (Concatenate) │ 1696) │ │ conv5_block25_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block26_0_bn │ (None, 7, 7, │ 6,784 │ conv5_block25_co… │\n",
"│ (BatchNormalizatio… │ 1696) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block26_0_re… │ (None, 7, 7, │ 0 │ conv5_block26_0_… │\n",
"│ (Activation) │ 1696) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block26_1_co… │ (None, 7, 7, 128) │ 217,088 │ conv5_block26_0_… │\n",
"│ (Conv2D) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block26_1_bn │ (None, 7, 7, 128) │ 512 │ conv5_block26_1_… │\n",
"│ (BatchNormalizatio… │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block26_1_re… │ (None, 7, 7, 128) │ 0 │ conv5_block26_1_… │\n",
"│ (Activation) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block26_2_co… │ (None, 7, 7, 32) │ 36,864 │ conv5_block26_1_… │\n",
"│ (Conv2D) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block26_conc… │ (None, 7, 7, │ 0 │ conv5_block25_co… │\n",
"│ (Concatenate) │ 1728) │ │ conv5_block26_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block27_0_bn │ (None, 7, 7, │ 6,912 │ conv5_block26_co… │\n",
"│ (BatchNormalizatio… │ 1728) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block27_0_re… │ (None, 7, 7, │ 0 │ conv5_block27_0_… │\n",
"│ (Activation) │ 1728) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block27_1_co… │ (None, 7, 7, 128) │ 221,184 │ conv5_block27_0_… │\n",
"│ (Conv2D) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block27_1_bn │ (None, 7, 7, 128) │ 512 │ conv5_block27_1_… │\n",
"│ (BatchNormalizatio… │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block27_1_re… │ (None, 7, 7, 128) │ 0 │ conv5_block27_1_… │\n",
"│ (Activation) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block27_2_co… │ (None, 7, 7, 32) │ 36,864 │ conv5_block27_1_… │\n",
"│ (Conv2D) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block27_conc… │ (None, 7, 7, │ 0 │ conv5_block26_co… │\n",
"│ (Concatenate) │ 1760) │ │ conv5_block27_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block28_0_bn │ (None, 7, 7, │ 7,040 │ conv5_block27_co… │\n",
"│ (BatchNormalizatio… │ 1760) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block28_0_re… │ (None, 7, 7, │ 0 │ conv5_block28_0_… │\n",
"│ (Activation) │ 1760) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block28_1_co… │ (None, 7, 7, 128) │ 225,280 │ conv5_block28_0_… │\n",
"│ (Conv2D) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block28_1_bn │ (None, 7, 7, 128) │ 512 │ conv5_block28_1_… │\n",
"│ (BatchNormalizatio… │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block28_1_re… │ (None, 7, 7, 128) │ 0 │ conv5_block28_1_… │\n",
"│ (Activation) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block28_2_co… │ (None, 7, 7, 32) │ 36,864 │ conv5_block28_1_… │\n",
"│ (Conv2D) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block28_conc… │ (None, 7, 7, │ 0 │ conv5_block27_co… │\n",
"│ (Concatenate) │ 1792) │ │ conv5_block28_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block29_0_bn │ (None, 7, 7, │ 7,168 │ conv5_block28_co… │\n",
"│ (BatchNormalizatio… │ 1792) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block29_0_re… │ (None, 7, 7, │ 0 │ conv5_block29_0_… │\n",
"│ (Activation) │ 1792) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block29_1_co… │ (None, 7, 7, 128) │ 229,376 │ conv5_block29_0_… │\n",
"│ (Conv2D) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block29_1_bn │ (None, 7, 7, 128) │ 512 │ conv5_block29_1_… │\n",
"│ (BatchNormalizatio… │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block29_1_re… │ (None, 7, 7, 128) │ 0 │ conv5_block29_1_… │\n",
"│ (Activation) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block29_2_co… │ (None, 7, 7, 32) │ 36,864 │ conv5_block29_1_… │\n",
"│ (Conv2D) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block29_conc… │ (None, 7, 7, │ 0 │ conv5_block28_co… │\n",
"│ (Concatenate) │ 1824) │ │ conv5_block29_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block30_0_bn │ (None, 7, 7, │ 7,296 │ conv5_block29_co… │\n",
"│ (BatchNormalizatio… │ 1824) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block30_0_re… │ (None, 7, 7, │ 0 │ conv5_block30_0_… │\n",
"│ (Activation) │ 1824) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block30_1_co… │ (None, 7, 7, 128) │ 233,472 │ conv5_block30_0_… │\n",
"│ (Conv2D) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block30_1_bn │ (None, 7, 7, 128) │ 512 │ conv5_block30_1_… │\n",
"│ (BatchNormalizatio… │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block30_1_re… │ (None, 7, 7, 128) │ 0 │ conv5_block30_1_… │\n",
"│ (Activation) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block30_2_co… │ (None, 7, 7, 32) │ 36,864 │ conv5_block30_1_… │\n",
"│ (Conv2D) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block30_conc… │ (None, 7, 7, │ 0 │ conv5_block29_co… │\n",
"│ (Concatenate) │ 1856) │ │ conv5_block30_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block31_0_bn │ (None, 7, 7, │ 7,424 │ conv5_block30_co… │\n",
"│ (BatchNormalizatio… │ 1856) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block31_0_re… │ (None, 7, 7, │ 0 │ conv5_block31_0_… │\n",
"│ (Activation) │ 1856) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block31_1_co… │ (None, 7, 7, 128) │ 237,568 │ conv5_block31_0_… │\n",
"│ (Conv2D) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block31_1_bn │ (None, 7, 7, 128) │ 512 │ conv5_block31_1_… │\n",
"│ (BatchNormalizatio… │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block31_1_re… │ (None, 7, 7, 128) │ 0 │ conv5_block31_1_… │\n",
"│ (Activation) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block31_2_co… │ (None, 7, 7, 32) │ 36,864 │ conv5_block31_1_… │\n",
"│ (Conv2D) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block31_conc… │ (None, 7, 7, │ 0 │ conv5_block30_co… │\n",
"│ (Concatenate) │ 1888) │ │ conv5_block31_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block32_0_bn │ (None, 7, 7, │ 7,552 │ conv5_block31_co… │\n",
"│ (BatchNormalizatio… │ 1888) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block32_0_re… │ (None, 7, 7, │ 0 │ conv5_block32_0_… │\n",
"│ (Activation) │ 1888) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block32_1_co… │ (None, 7, 7, 128) │ 241,664 │ conv5_block32_0_… │\n",
"│ (Conv2D) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block32_1_bn │ (None, 7, 7, 128) │ 512 │ conv5_block32_1_… │\n",
"│ (BatchNormalizatio… │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block32_1_re… │ (None, 7, 7, 128) │ 0 │ conv5_block32_1_… │\n",
"│ (Activation) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block32_2_co… │ (None, 7, 7, 32) │ 36,864 │ conv5_block32_1_… │\n",
"│ (Conv2D) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block32_conc… │ (None, 7, 7, │ 0 │ conv5_block31_co… │\n",
"│ (Concatenate) │ 1920) │ │ conv5_block32_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ bn │ (None, 7, 7, │ 7,680 │ conv5_block32_co… │\n",
"│ (BatchNormalizatio… │ 1920) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ relu (Activation) │ (None, 7, 7, │ 0 │ bn[0][0] │\n",
"│ │ 1920) │ │ │\n",
"└─────────────────────┴───────────────────┴────────────┴───────────────────┘\n",
"\n"
],
"text/plain": [
"┏━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┓\n",
"┃\u001b[1m \u001b[0m\u001b[1mLayer (type) \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mOutput Shape \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m Param #\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mConnected to \u001b[0m\u001b[1m \u001b[0m┃\n",
"┡━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━┩\n",
"│ input_layer │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m224\u001b[0m, \u001b[38;5;34m224\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ - │\n",
"│ (\u001b[38;5;33mInputLayer\u001b[0m) │ \u001b[38;5;34m3\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ zero_padding2d │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m230\u001b[0m, \u001b[38;5;34m230\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ input_layer[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n",
"│ (\u001b[38;5;33mZeroPadding2D\u001b[0m) │ \u001b[38;5;34m3\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv1_conv (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m, │ \u001b[38;5;34m9,408\u001b[0m │ zero_padding2d[\u001b[38;5;34m0\u001b[0m… │\n",
"│ │ \u001b[38;5;34m64\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m, │ \u001b[38;5;34m256\u001b[0m │ conv1_conv[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m64\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv1_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv1_bn[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m64\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ zero_padding2d_1 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m114\u001b[0m, \u001b[38;5;34m114\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv1_relu[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n",
"│ (\u001b[38;5;33mZeroPadding2D\u001b[0m) │ \u001b[38;5;34m64\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ pool1 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ zero_padding2d_1… │\n",
"│ (\u001b[38;5;33mMaxPooling2D\u001b[0m) │ \u001b[38;5;34m64\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv2_block1_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, │ \u001b[38;5;34m256\u001b[0m │ pool1[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m64\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv2_block1_0_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv2_block1_0_b… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m64\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv2_block1_1_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, │ \u001b[38;5;34m8,192\u001b[0m │ conv2_block1_0_r… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv2_block1_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv2_block1_1_c… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv2_block1_1_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv2_block1_1_b… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv2_block1_2_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv2_block1_1_r… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv2_block1_concat │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ pool1[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m], │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m96\u001b[0m) │ │ conv2_block1_2_c… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv2_block2_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, │ \u001b[38;5;34m384\u001b[0m │ conv2_block1_con… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m96\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv2_block2_0_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv2_block2_0_b… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m96\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv2_block2_1_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, │ \u001b[38;5;34m12,288\u001b[0m │ conv2_block2_0_r… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv2_block2_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv2_block2_1_c… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv2_block2_1_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv2_block2_1_b… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv2_block2_2_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv2_block2_1_r… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv2_block2_concat │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv2_block1_con… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ conv2_block2_2_c… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv2_block3_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv2_block2_con… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv2_block3_0_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv2_block3_0_b… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv2_block3_1_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, │ \u001b[38;5;34m16,384\u001b[0m │ conv2_block3_0_r… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv2_block3_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv2_block3_1_c… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv2_block3_1_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv2_block3_1_b… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv2_block3_2_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv2_block3_1_r… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv2_block3_concat │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv2_block2_con… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m160\u001b[0m) │ │ conv2_block3_2_c… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv2_block4_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, │ \u001b[38;5;34m640\u001b[0m │ conv2_block3_con… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m160\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv2_block4_0_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv2_block4_0_b… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m160\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv2_block4_1_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, │ \u001b[38;5;34m20,480\u001b[0m │ conv2_block4_0_r… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv2_block4_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv2_block4_1_c… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv2_block4_1_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv2_block4_1_b… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv2_block4_2_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv2_block4_1_r… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv2_block4_concat │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv2_block3_con… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m192\u001b[0m) │ │ conv2_block4_2_c… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv2_block5_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, │ \u001b[38;5;34m768\u001b[0m │ conv2_block4_con… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv2_block5_0_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv2_block5_0_b… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m192\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv2_block5_1_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, │ \u001b[38;5;34m24,576\u001b[0m │ conv2_block5_0_r… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv2_block5_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv2_block5_1_c… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv2_block5_1_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv2_block5_1_b… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv2_block5_2_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv2_block5_1_r… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv2_block5_concat │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv2_block4_con… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m224\u001b[0m) │ │ conv2_block5_2_c… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv2_block6_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, │ \u001b[38;5;34m896\u001b[0m │ conv2_block5_con… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m224\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv2_block6_0_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv2_block6_0_b… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m224\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv2_block6_1_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, │ \u001b[38;5;34m28,672\u001b[0m │ conv2_block6_0_r… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv2_block6_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv2_block6_1_c… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv2_block6_1_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv2_block6_1_b… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv2_block6_2_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv2_block6_1_r… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv2_block6_concat │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv2_block5_con… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m256\u001b[0m) │ │ conv2_block6_2_c… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ pool2_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, │ \u001b[38;5;34m1,024\u001b[0m │ conv2_block6_con… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m256\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ pool2_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ pool2_bn[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m256\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ pool2_conv (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, │ \u001b[38;5;34m32,768\u001b[0m │ pool2_relu[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n",
"│ │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ pool2_pool │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ pool2_conv[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n",
"│ (\u001b[38;5;33mAveragePooling2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block1_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ pool2_pool[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block1_0_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv3_block1_0_b… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block1_1_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m16,384\u001b[0m │ conv3_block1_0_r… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block1_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv3_block1_1_c… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block1_1_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv3_block1_1_b… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block1_2_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv3_block1_1_r… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block1_concat │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ pool2_pool[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m], │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m160\u001b[0m) │ │ conv3_block1_2_c… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block2_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m640\u001b[0m │ conv3_block1_con… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m160\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block2_0_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv3_block2_0_b… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m160\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block2_1_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m20,480\u001b[0m │ conv3_block2_0_r… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block2_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv3_block2_1_c… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block2_1_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv3_block2_1_b… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block2_2_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv3_block2_1_r… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block2_concat │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv3_block1_con… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m192\u001b[0m) │ │ conv3_block2_2_c… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block3_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m768\u001b[0m │ conv3_block2_con… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m192\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block3_0_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv3_block3_0_b… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m192\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block3_1_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m24,576\u001b[0m │ conv3_block3_0_r… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block3_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv3_block3_1_c… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block3_1_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv3_block3_1_b… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block3_2_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv3_block3_1_r… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block3_concat │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv3_block2_con… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m224\u001b[0m) │ │ conv3_block3_2_c… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block4_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m896\u001b[0m │ conv3_block3_con… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m224\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block4_0_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv3_block4_0_b… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m224\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block4_1_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m28,672\u001b[0m │ conv3_block4_0_r… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block4_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv3_block4_1_c… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block4_1_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv3_block4_1_b… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block4_2_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv3_block4_1_r… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block4_concat │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv3_block3_con… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m256\u001b[0m) │ │ conv3_block4_2_c… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block5_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m1,024\u001b[0m │ conv3_block4_con… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m256\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block5_0_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv3_block5_0_b… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m256\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block5_1_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m32,768\u001b[0m │ conv3_block5_0_r… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block5_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv3_block5_1_c… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block5_1_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv3_block5_1_b… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block5_2_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv3_block5_1_r… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block5_concat │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv3_block4_con… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m288\u001b[0m) │ │ conv3_block5_2_c… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block6_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m1,152\u001b[0m │ conv3_block5_con… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m288\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block6_0_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv3_block6_0_b… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m288\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block6_1_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv3_block6_0_r… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block6_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv3_block6_1_c… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block6_1_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv3_block6_1_b… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block6_2_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv3_block6_1_r… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block6_concat │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv3_block5_con… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m320\u001b[0m) │ │ conv3_block6_2_c… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block7_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m1,280\u001b[0m │ conv3_block6_con… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m320\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block7_0_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv3_block7_0_b… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m320\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block7_1_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m40,960\u001b[0m │ conv3_block7_0_r… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block7_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv3_block7_1_c… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block7_1_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv3_block7_1_b… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block7_2_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv3_block7_1_r… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block7_concat │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv3_block6_con… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m352\u001b[0m) │ │ conv3_block7_2_c… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block8_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m1,408\u001b[0m │ conv3_block7_con… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m352\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block8_0_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv3_block8_0_b… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m352\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block8_1_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m45,056\u001b[0m │ conv3_block8_0_r… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block8_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv3_block8_1_c… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block8_1_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv3_block8_1_b… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block8_2_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv3_block8_1_r… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block8_concat │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv3_block7_con… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m384\u001b[0m) │ │ conv3_block8_2_c… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block9_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m1,536\u001b[0m │ conv3_block8_con… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m384\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block9_0_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv3_block9_0_b… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m384\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block9_1_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m49,152\u001b[0m │ conv3_block9_0_r… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block9_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv3_block9_1_c… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block9_1_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv3_block9_1_b… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block9_2_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv3_block9_1_r… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block9_concat │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv3_block8_con… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m416\u001b[0m) │ │ conv3_block9_2_c… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block10_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m1,664\u001b[0m │ conv3_block9_con… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m416\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block10_0_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv3_block10_0_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m416\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block10_1_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m53,248\u001b[0m │ conv3_block10_0_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block10_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv3_block10_1_… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block10_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv3_block10_1_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block10_2_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv3_block10_1_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block10_conc… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv3_block9_con… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m448\u001b[0m) │ │ conv3_block10_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block11_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m1,792\u001b[0m │ conv3_block10_co… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m448\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block11_0_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv3_block11_0_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m448\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block11_1_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m57,344\u001b[0m │ conv3_block11_0_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block11_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv3_block11_1_… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block11_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv3_block11_1_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block11_2_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv3_block11_1_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block11_conc… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv3_block10_co… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m480\u001b[0m) │ │ conv3_block11_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block12_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m1,920\u001b[0m │ conv3_block11_co… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m480\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block12_0_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv3_block12_0_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m480\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block12_1_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m61,440\u001b[0m │ conv3_block12_0_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block12_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv3_block12_1_… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block12_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv3_block12_1_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block12_2_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv3_block12_1_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv3_block12_conc… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv3_block11_co… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m512\u001b[0m) │ │ conv3_block12_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ pool3_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m2,048\u001b[0m │ conv3_block12_co… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m512\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ pool3_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ pool3_bn[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m512\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ pool3_conv (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, │ \u001b[38;5;34m131,072\u001b[0m │ pool3_relu[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n",
"│ │ \u001b[38;5;34m256\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ pool3_pool │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ pool3_conv[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n",
"│ (\u001b[38;5;33mAveragePooling2D\u001b[0m) │ \u001b[38;5;34m256\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block1_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m1,024\u001b[0m │ pool3_pool[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m256\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block1_0_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block1_0_b… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m256\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block1_1_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m32,768\u001b[0m │ conv4_block1_0_r… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block1_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv4_block1_1_c… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block1_1_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block1_1_b… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block1_2_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv4_block1_1_r… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block1_concat │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ pool3_pool[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m], │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m288\u001b[0m) │ │ conv4_block1_2_c… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block2_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m1,152\u001b[0m │ conv4_block1_con… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m288\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block2_0_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block2_0_b… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m288\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block2_1_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv4_block2_0_r… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block2_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv4_block2_1_c… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block2_1_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block2_1_b… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block2_2_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv4_block2_1_r… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block2_concat │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block1_con… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m320\u001b[0m) │ │ conv4_block2_2_c… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block3_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m1,280\u001b[0m │ conv4_block2_con… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m320\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block3_0_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block3_0_b… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m320\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block3_1_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m40,960\u001b[0m │ conv4_block3_0_r… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block3_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv4_block3_1_c… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block3_1_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block3_1_b… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block3_2_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv4_block3_1_r… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block3_concat │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block2_con… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m352\u001b[0m) │ │ conv4_block3_2_c… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block4_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m1,408\u001b[0m │ conv4_block3_con… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m352\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block4_0_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block4_0_b… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m352\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block4_1_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m45,056\u001b[0m │ conv4_block4_0_r… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block4_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv4_block4_1_c… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block4_1_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block4_1_b… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block4_2_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv4_block4_1_r… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block4_concat │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block3_con… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m384\u001b[0m) │ │ conv4_block4_2_c… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block5_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m1,536\u001b[0m │ conv4_block4_con… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m384\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block5_0_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block5_0_b… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m384\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block5_1_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m49,152\u001b[0m │ conv4_block5_0_r… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block5_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv4_block5_1_c… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block5_1_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block5_1_b… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block5_2_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv4_block5_1_r… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block5_concat │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block4_con… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m416\u001b[0m) │ │ conv4_block5_2_c… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block6_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m1,664\u001b[0m │ conv4_block5_con… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m416\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block6_0_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block6_0_b… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m416\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block6_1_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m53,248\u001b[0m │ conv4_block6_0_r… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block6_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv4_block6_1_c… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block6_1_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block6_1_b… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block6_2_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv4_block6_1_r… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block6_concat │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block5_con… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m448\u001b[0m) │ │ conv4_block6_2_c… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block7_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m1,792\u001b[0m │ conv4_block6_con… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m448\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block7_0_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block7_0_b… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m448\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block7_1_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m57,344\u001b[0m │ conv4_block7_0_r… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block7_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv4_block7_1_c… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block7_1_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block7_1_b… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block7_2_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv4_block7_1_r… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block7_concat │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block6_con… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m480\u001b[0m) │ │ conv4_block7_2_c… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block8_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m1,920\u001b[0m │ conv4_block7_con… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m480\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block8_0_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block8_0_b… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m480\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block8_1_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m61,440\u001b[0m │ conv4_block8_0_r… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block8_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv4_block8_1_c… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block8_1_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block8_1_b… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block8_2_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv4_block8_1_r… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block8_concat │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block7_con… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m512\u001b[0m) │ │ conv4_block8_2_c… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block9_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m2,048\u001b[0m │ conv4_block8_con… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m512\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block9_0_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block9_0_b… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m512\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block9_1_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m65,536\u001b[0m │ conv4_block9_0_r… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block9_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv4_block9_1_c… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block9_1_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block9_1_b… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block9_2_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv4_block9_1_r… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block9_concat │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block8_con… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m544\u001b[0m) │ │ conv4_block9_2_c… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block10_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m2,176\u001b[0m │ conv4_block9_con… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m544\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block10_0_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block10_0_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m544\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block10_1_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m69,632\u001b[0m │ conv4_block10_0_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block10_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv4_block10_1_… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block10_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block10_1_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block10_2_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv4_block10_1_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block10_conc… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block9_con… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m576\u001b[0m) │ │ conv4_block10_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block11_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m2,304\u001b[0m │ conv4_block10_co… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m576\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block11_0_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block11_0_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m576\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block11_1_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m73,728\u001b[0m │ conv4_block11_0_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block11_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv4_block11_1_… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block11_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block11_1_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block11_2_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv4_block11_1_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block11_conc… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block10_co… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m608\u001b[0m) │ │ conv4_block11_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block12_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m2,432\u001b[0m │ conv4_block11_co… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m608\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block12_0_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block12_0_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m608\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block12_1_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m77,824\u001b[0m │ conv4_block12_0_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block12_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv4_block12_1_… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block12_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block12_1_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block12_2_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv4_block12_1_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block12_conc… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block11_co… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m640\u001b[0m) │ │ conv4_block12_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block13_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m2,560\u001b[0m │ conv4_block12_co… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m640\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block13_0_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block13_0_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m640\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block13_1_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m81,920\u001b[0m │ conv4_block13_0_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block13_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv4_block13_1_… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block13_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block13_1_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block13_2_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv4_block13_1_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block13_conc… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block12_co… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m672\u001b[0m) │ │ conv4_block13_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block14_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m2,688\u001b[0m │ conv4_block13_co… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m672\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block14_0_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block14_0_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m672\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block14_1_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m86,016\u001b[0m │ conv4_block14_0_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block14_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv4_block14_1_… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block14_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block14_1_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block14_2_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv4_block14_1_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block14_conc… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block13_co… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m704\u001b[0m) │ │ conv4_block14_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block15_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m2,816\u001b[0m │ conv4_block14_co… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m704\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block15_0_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block15_0_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m704\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block15_1_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m90,112\u001b[0m │ conv4_block15_0_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block15_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv4_block15_1_… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block15_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block15_1_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block15_2_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv4_block15_1_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block15_conc… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block14_co… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m736\u001b[0m) │ │ conv4_block15_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block16_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m2,944\u001b[0m │ conv4_block15_co… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m736\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block16_0_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block16_0_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m736\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block16_1_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m94,208\u001b[0m │ conv4_block16_0_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block16_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv4_block16_1_… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block16_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block16_1_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block16_2_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv4_block16_1_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block16_conc… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block15_co… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m768\u001b[0m) │ │ conv4_block16_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block17_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m3,072\u001b[0m │ conv4_block16_co… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m768\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block17_0_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block17_0_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m768\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block17_1_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m98,304\u001b[0m │ conv4_block17_0_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block17_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv4_block17_1_… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block17_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block17_1_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block17_2_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv4_block17_1_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block17_conc… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block16_co… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m800\u001b[0m) │ │ conv4_block17_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block18_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m3,200\u001b[0m │ conv4_block17_co… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m800\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block18_0_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block18_0_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m800\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block18_1_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m102,400\u001b[0m │ conv4_block18_0_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block18_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv4_block18_1_… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block18_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block18_1_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block18_2_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv4_block18_1_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block18_conc… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block17_co… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m832\u001b[0m) │ │ conv4_block18_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block19_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m3,328\u001b[0m │ conv4_block18_co… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m832\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block19_0_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block19_0_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m832\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block19_1_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m106,496\u001b[0m │ conv4_block19_0_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block19_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv4_block19_1_… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block19_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block19_1_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block19_2_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv4_block19_1_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block19_conc… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block18_co… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m864\u001b[0m) │ │ conv4_block19_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block20_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m3,456\u001b[0m │ conv4_block19_co… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m864\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block20_0_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block20_0_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m864\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block20_1_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m110,592\u001b[0m │ conv4_block20_0_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block20_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv4_block20_1_… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block20_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block20_1_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block20_2_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv4_block20_1_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block20_conc… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block19_co… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m896\u001b[0m) │ │ conv4_block20_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block21_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m3,584\u001b[0m │ conv4_block20_co… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m896\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block21_0_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block21_0_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m896\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block21_1_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m114,688\u001b[0m │ conv4_block21_0_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block21_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv4_block21_1_… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block21_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block21_1_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block21_2_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv4_block21_1_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block21_conc… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block20_co… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m928\u001b[0m) │ │ conv4_block21_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block22_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m3,712\u001b[0m │ conv4_block21_co… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m928\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block22_0_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block22_0_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m928\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block22_1_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m118,784\u001b[0m │ conv4_block22_0_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block22_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv4_block22_1_… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block22_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block22_1_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block22_2_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv4_block22_1_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block22_conc… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block21_co… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m960\u001b[0m) │ │ conv4_block22_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block23_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m3,840\u001b[0m │ conv4_block22_co… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m960\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block23_0_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block23_0_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m960\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block23_1_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m122,880\u001b[0m │ conv4_block23_0_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block23_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv4_block23_1_… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block23_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block23_1_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block23_2_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv4_block23_1_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block23_conc… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block22_co… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m992\u001b[0m) │ │ conv4_block23_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block24_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m3,968\u001b[0m │ conv4_block23_co… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m992\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block24_0_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block24_0_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m992\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block24_1_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m126,976\u001b[0m │ conv4_block24_0_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block24_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv4_block24_1_… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block24_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block24_1_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block24_2_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv4_block24_1_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block24_conc… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block23_co… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m1024\u001b[0m) │ │ conv4_block24_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block25_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m4,096\u001b[0m │ conv4_block24_co… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m1024\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block25_0_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block25_0_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m1024\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block25_1_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m131,072\u001b[0m │ conv4_block25_0_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block25_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv4_block25_1_… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block25_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block25_1_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block25_2_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv4_block25_1_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block25_conc… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block24_co… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m1056\u001b[0m) │ │ conv4_block25_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block26_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m4,224\u001b[0m │ conv4_block25_co… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m1056\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block26_0_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block26_0_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m1056\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block26_1_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m135,168\u001b[0m │ conv4_block26_0_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block26_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv4_block26_1_… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block26_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block26_1_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block26_2_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv4_block26_1_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block26_conc… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block25_co… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m1088\u001b[0m) │ │ conv4_block26_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block27_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m4,352\u001b[0m │ conv4_block26_co… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m1088\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block27_0_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block27_0_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m1088\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block27_1_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m139,264\u001b[0m │ conv4_block27_0_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block27_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv4_block27_1_… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block27_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block27_1_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block27_2_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv4_block27_1_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block27_conc… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block26_co… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m1120\u001b[0m) │ │ conv4_block27_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block28_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m4,480\u001b[0m │ conv4_block27_co… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m1120\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block28_0_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block28_0_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m1120\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block28_1_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m143,360\u001b[0m │ conv4_block28_0_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block28_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv4_block28_1_… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block28_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block28_1_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block28_2_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv4_block28_1_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block28_conc… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block27_co… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m1152\u001b[0m) │ │ conv4_block28_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block29_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m4,608\u001b[0m │ conv4_block28_co… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m1152\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block29_0_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block29_0_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m1152\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block29_1_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m147,456\u001b[0m │ conv4_block29_0_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block29_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv4_block29_1_… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block29_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block29_1_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block29_2_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv4_block29_1_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block29_conc… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block28_co… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m1184\u001b[0m) │ │ conv4_block29_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block30_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m4,736\u001b[0m │ conv4_block29_co… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m1184\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block30_0_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block30_0_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m1184\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block30_1_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m151,552\u001b[0m │ conv4_block30_0_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block30_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv4_block30_1_… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block30_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block30_1_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block30_2_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv4_block30_1_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block30_conc… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block29_co… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m1216\u001b[0m) │ │ conv4_block30_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block31_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m4,864\u001b[0m │ conv4_block30_co… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m1216\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block31_0_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block31_0_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m1216\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block31_1_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m155,648\u001b[0m │ conv4_block31_0_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block31_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv4_block31_1_… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block31_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block31_1_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block31_2_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv4_block31_1_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block31_conc… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block30_co… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m1248\u001b[0m) │ │ conv4_block31_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block32_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m4,992\u001b[0m │ conv4_block31_co… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m1248\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block32_0_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block32_0_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m1248\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block32_1_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m159,744\u001b[0m │ conv4_block32_0_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block32_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv4_block32_1_… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block32_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block32_1_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block32_2_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv4_block32_1_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block32_conc… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block31_co… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m1280\u001b[0m) │ │ conv4_block32_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block33_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m5,120\u001b[0m │ conv4_block32_co… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m1280\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block33_0_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block33_0_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m1280\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block33_1_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m163,840\u001b[0m │ conv4_block33_0_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block33_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv4_block33_1_… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block33_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block33_1_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block33_2_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv4_block33_1_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block33_conc… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block32_co… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m1312\u001b[0m) │ │ conv4_block33_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block34_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m5,248\u001b[0m │ conv4_block33_co… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m1312\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block34_0_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block34_0_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m1312\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block34_1_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m167,936\u001b[0m │ conv4_block34_0_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block34_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv4_block34_1_… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block34_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block34_1_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block34_2_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv4_block34_1_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block34_conc… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block33_co… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m1344\u001b[0m) │ │ conv4_block34_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block35_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m5,376\u001b[0m │ conv4_block34_co… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m1344\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block35_0_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block35_0_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m1344\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block35_1_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m172,032\u001b[0m │ conv4_block35_0_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block35_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv4_block35_1_… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block35_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block35_1_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block35_2_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv4_block35_1_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block35_conc… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block34_co… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m1376\u001b[0m) │ │ conv4_block35_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block36_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m5,504\u001b[0m │ conv4_block35_co… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m1376\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block36_0_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block36_0_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m1376\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block36_1_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m176,128\u001b[0m │ conv4_block36_0_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block36_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv4_block36_1_… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block36_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block36_1_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block36_2_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv4_block36_1_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block36_conc… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block35_co… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m1408\u001b[0m) │ │ conv4_block36_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block37_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m5,632\u001b[0m │ conv4_block36_co… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m1408\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block37_0_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block37_0_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m1408\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block37_1_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m180,224\u001b[0m │ conv4_block37_0_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block37_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv4_block37_1_… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block37_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block37_1_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block37_2_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv4_block37_1_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block37_conc… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block36_co… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m1440\u001b[0m) │ │ conv4_block37_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block38_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m5,760\u001b[0m │ conv4_block37_co… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m1440\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block38_0_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block38_0_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m1440\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block38_1_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m184,320\u001b[0m │ conv4_block38_0_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block38_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv4_block38_1_… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block38_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block38_1_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block38_2_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv4_block38_1_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block38_conc… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block37_co… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m1472\u001b[0m) │ │ conv4_block38_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block39_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m5,888\u001b[0m │ conv4_block38_co… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m1472\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block39_0_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block39_0_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m1472\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block39_1_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m188,416\u001b[0m │ conv4_block39_0_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block39_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv4_block39_1_… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block39_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block39_1_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block39_2_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv4_block39_1_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block39_conc… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block38_co… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m1504\u001b[0m) │ │ conv4_block39_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block40_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m6,016\u001b[0m │ conv4_block39_co… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m1504\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block40_0_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block40_0_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m1504\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block40_1_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m192,512\u001b[0m │ conv4_block40_0_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block40_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv4_block40_1_… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block40_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block40_1_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block40_2_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv4_block40_1_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block40_conc… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block39_co… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m1536\u001b[0m) │ │ conv4_block40_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block41_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m6,144\u001b[0m │ conv4_block40_co… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m1536\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block41_0_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block41_0_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m1536\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block41_1_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m196,608\u001b[0m │ conv4_block41_0_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block41_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv4_block41_1_… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block41_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block41_1_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block41_2_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv4_block41_1_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block41_conc… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block40_co… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m1568\u001b[0m) │ │ conv4_block41_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block42_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m6,272\u001b[0m │ conv4_block41_co… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m1568\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block42_0_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block42_0_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m1568\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block42_1_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m200,704\u001b[0m │ conv4_block42_0_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block42_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv4_block42_1_… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block42_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block42_1_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block42_2_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv4_block42_1_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block42_conc… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block41_co… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m1600\u001b[0m) │ │ conv4_block42_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block43_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m6,400\u001b[0m │ conv4_block42_co… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m1600\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block43_0_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block43_0_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m1600\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block43_1_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m204,800\u001b[0m │ conv4_block43_0_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block43_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv4_block43_1_… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block43_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block43_1_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block43_2_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv4_block43_1_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block43_conc… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block42_co… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m1632\u001b[0m) │ │ conv4_block43_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block44_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m6,528\u001b[0m │ conv4_block43_co… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m1632\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block44_0_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block44_0_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m1632\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block44_1_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m208,896\u001b[0m │ conv4_block44_0_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block44_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv4_block44_1_… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block44_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block44_1_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block44_2_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv4_block44_1_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block44_conc… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block43_co… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m1664\u001b[0m) │ │ conv4_block44_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block45_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m6,656\u001b[0m │ conv4_block44_co… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m1664\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block45_0_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block45_0_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m1664\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block45_1_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m212,992\u001b[0m │ conv4_block45_0_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block45_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv4_block45_1_… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block45_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block45_1_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block45_2_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv4_block45_1_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block45_conc… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block44_co… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m1696\u001b[0m) │ │ conv4_block45_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block46_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m6,784\u001b[0m │ conv4_block45_co… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m1696\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block46_0_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block46_0_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m1696\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block46_1_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m217,088\u001b[0m │ conv4_block46_0_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block46_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv4_block46_1_… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block46_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block46_1_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block46_2_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv4_block46_1_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block46_conc… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block45_co… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m1728\u001b[0m) │ │ conv4_block46_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block47_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m6,912\u001b[0m │ conv4_block46_co… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m1728\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block47_0_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block47_0_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m1728\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block47_1_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m221,184\u001b[0m │ conv4_block47_0_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block47_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv4_block47_1_… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block47_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block47_1_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block47_2_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv4_block47_1_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block47_conc… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block46_co… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m1760\u001b[0m) │ │ conv4_block47_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block48_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m7,040\u001b[0m │ conv4_block47_co… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m1760\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block48_0_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block48_0_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m1760\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block48_1_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m225,280\u001b[0m │ conv4_block48_0_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block48_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m512\u001b[0m │ conv4_block48_1_… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block48_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block48_1_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m128\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block48_2_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m36,864\u001b[0m │ conv4_block48_1_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ \u001b[38;5;34m32\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv4_block48_conc… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv4_block47_co… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m1792\u001b[0m) │ │ conv4_block48_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ pool4_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m7,168\u001b[0m │ conv4_block48_co… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m1792\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ pool4_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ pool4_bn[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m1792\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ pool4_conv (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, │ \u001b[38;5;34m1,605,632\u001b[0m │ pool4_relu[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n",
"│ │ \u001b[38;5;34m896\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ pool4_pool │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m896\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ pool4_conv[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n",
"│ (\u001b[38;5;33mAveragePooling2D\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block1_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m896\u001b[0m) │ \u001b[38;5;34m3,584\u001b[0m │ pool4_pool[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block1_0_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m896\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ conv5_block1_0_b… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block1_1_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m114,688\u001b[0m │ conv5_block1_0_r… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block1_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m512\u001b[0m │ conv5_block1_1_c… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block1_1_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ conv5_block1_1_b… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block1_2_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m36,864\u001b[0m │ conv5_block1_1_r… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block1_concat │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m928\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ pool4_pool[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m], │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ │ │ conv5_block1_2_c… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block2_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m928\u001b[0m) │ \u001b[38;5;34m3,712\u001b[0m │ conv5_block1_con… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block2_0_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m928\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ conv5_block2_0_b… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block2_1_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m118,784\u001b[0m │ conv5_block2_0_r… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block2_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m512\u001b[0m │ conv5_block2_1_c… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block2_1_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ conv5_block2_1_b… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block2_2_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m36,864\u001b[0m │ conv5_block2_1_r… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block2_concat │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m960\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ conv5_block1_con… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ │ │ conv5_block2_2_c… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block3_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m960\u001b[0m) │ \u001b[38;5;34m3,840\u001b[0m │ conv5_block2_con… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block3_0_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m960\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ conv5_block3_0_b… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block3_1_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m122,880\u001b[0m │ conv5_block3_0_r… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block3_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m512\u001b[0m │ conv5_block3_1_c… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block3_1_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ conv5_block3_1_b… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block3_2_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m36,864\u001b[0m │ conv5_block3_1_r… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block3_concat │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m992\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ conv5_block2_con… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ │ │ conv5_block3_2_c… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block4_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m992\u001b[0m) │ \u001b[38;5;34m3,968\u001b[0m │ conv5_block3_con… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block4_0_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m992\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ conv5_block4_0_b… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block4_1_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m126,976\u001b[0m │ conv5_block4_0_r… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block4_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m512\u001b[0m │ conv5_block4_1_c… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block4_1_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ conv5_block4_1_b… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block4_2_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m36,864\u001b[0m │ conv5_block4_1_r… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block4_concat │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv5_block3_con… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m1024\u001b[0m) │ │ conv5_block4_2_c… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block5_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m4,096\u001b[0m │ conv5_block4_con… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m1024\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block5_0_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv5_block5_0_b… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m1024\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block5_1_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m131,072\u001b[0m │ conv5_block5_0_r… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block5_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m512\u001b[0m │ conv5_block5_1_c… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block5_1_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ conv5_block5_1_b… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block5_2_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m36,864\u001b[0m │ conv5_block5_1_r… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block5_concat │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv5_block4_con… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m1056\u001b[0m) │ │ conv5_block5_2_c… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block6_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m4,224\u001b[0m │ conv5_block5_con… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m1056\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block6_0_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv5_block6_0_b… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m1056\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block6_1_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m135,168\u001b[0m │ conv5_block6_0_r… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block6_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m512\u001b[0m │ conv5_block6_1_c… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block6_1_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ conv5_block6_1_b… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block6_2_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m36,864\u001b[0m │ conv5_block6_1_r… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block6_concat │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv5_block5_con… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m1088\u001b[0m) │ │ conv5_block6_2_c… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block7_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m4,352\u001b[0m │ conv5_block6_con… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m1088\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block7_0_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv5_block7_0_b… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m1088\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block7_1_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m139,264\u001b[0m │ conv5_block7_0_r… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block7_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m512\u001b[0m │ conv5_block7_1_c… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block7_1_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ conv5_block7_1_b… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block7_2_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m36,864\u001b[0m │ conv5_block7_1_r… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block7_concat │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv5_block6_con… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m1120\u001b[0m) │ │ conv5_block7_2_c… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block8_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m4,480\u001b[0m │ conv5_block7_con… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m1120\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block8_0_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv5_block8_0_b… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m1120\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block8_1_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m143,360\u001b[0m │ conv5_block8_0_r… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block8_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m512\u001b[0m │ conv5_block8_1_c… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block8_1_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ conv5_block8_1_b… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block8_2_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m36,864\u001b[0m │ conv5_block8_1_r… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block8_concat │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv5_block7_con… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m1152\u001b[0m) │ │ conv5_block8_2_c… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block9_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m4,608\u001b[0m │ conv5_block8_con… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m1152\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block9_0_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv5_block9_0_b… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m1152\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block9_1_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m147,456\u001b[0m │ conv5_block9_0_r… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block9_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m512\u001b[0m │ conv5_block9_1_c… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block9_1_relu │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ conv5_block9_1_b… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block9_2_conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m36,864\u001b[0m │ conv5_block9_1_r… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block9_concat │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv5_block8_con… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m1184\u001b[0m) │ │ conv5_block9_2_c… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block10_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m4,736\u001b[0m │ conv5_block9_con… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m1184\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block10_0_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv5_block10_0_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m1184\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block10_1_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m151,552\u001b[0m │ conv5_block10_0_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block10_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m512\u001b[0m │ conv5_block10_1_… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block10_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ conv5_block10_1_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block10_2_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m36,864\u001b[0m │ conv5_block10_1_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block10_conc… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv5_block9_con… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m1216\u001b[0m) │ │ conv5_block10_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block11_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m4,864\u001b[0m │ conv5_block10_co… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m1216\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block11_0_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv5_block11_0_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m1216\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block11_1_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m155,648\u001b[0m │ conv5_block11_0_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block11_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m512\u001b[0m │ conv5_block11_1_… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block11_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ conv5_block11_1_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block11_2_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m36,864\u001b[0m │ conv5_block11_1_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block11_conc… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv5_block10_co… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m1248\u001b[0m) │ │ conv5_block11_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block12_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m4,992\u001b[0m │ conv5_block11_co… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m1248\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block12_0_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv5_block12_0_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m1248\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block12_1_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m159,744\u001b[0m │ conv5_block12_0_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block12_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m512\u001b[0m │ conv5_block12_1_… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block12_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ conv5_block12_1_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block12_2_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m36,864\u001b[0m │ conv5_block12_1_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block12_conc… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv5_block11_co… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m1280\u001b[0m) │ │ conv5_block12_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block13_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m5,120\u001b[0m │ conv5_block12_co… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m1280\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block13_0_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv5_block13_0_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m1280\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block13_1_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m163,840\u001b[0m │ conv5_block13_0_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block13_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m512\u001b[0m │ conv5_block13_1_… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block13_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ conv5_block13_1_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block13_2_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m36,864\u001b[0m │ conv5_block13_1_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block13_conc… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv5_block12_co… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m1312\u001b[0m) │ │ conv5_block13_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block14_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m5,248\u001b[0m │ conv5_block13_co… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m1312\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block14_0_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv5_block14_0_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m1312\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block14_1_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m167,936\u001b[0m │ conv5_block14_0_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block14_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m512\u001b[0m │ conv5_block14_1_… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block14_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ conv5_block14_1_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block14_2_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m36,864\u001b[0m │ conv5_block14_1_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block14_conc… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv5_block13_co… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m1344\u001b[0m) │ │ conv5_block14_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block15_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m5,376\u001b[0m │ conv5_block14_co… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m1344\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block15_0_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv5_block15_0_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m1344\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block15_1_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m172,032\u001b[0m │ conv5_block15_0_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block15_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m512\u001b[0m │ conv5_block15_1_… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block15_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ conv5_block15_1_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block15_2_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m36,864\u001b[0m │ conv5_block15_1_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block15_conc… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv5_block14_co… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m1376\u001b[0m) │ │ conv5_block15_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block16_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m5,504\u001b[0m │ conv5_block15_co… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m1376\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block16_0_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv5_block16_0_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m1376\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block16_1_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m176,128\u001b[0m │ conv5_block16_0_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block16_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m512\u001b[0m │ conv5_block16_1_… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block16_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ conv5_block16_1_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block16_2_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m36,864\u001b[0m │ conv5_block16_1_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block16_conc… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv5_block15_co… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m1408\u001b[0m) │ │ conv5_block16_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block17_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m5,632\u001b[0m │ conv5_block16_co… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m1408\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block17_0_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv5_block17_0_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m1408\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block17_1_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m180,224\u001b[0m │ conv5_block17_0_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block17_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m512\u001b[0m │ conv5_block17_1_… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block17_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ conv5_block17_1_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block17_2_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m36,864\u001b[0m │ conv5_block17_1_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block17_conc… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv5_block16_co… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m1440\u001b[0m) │ │ conv5_block17_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block18_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m5,760\u001b[0m │ conv5_block17_co… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m1440\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block18_0_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv5_block18_0_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m1440\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block18_1_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m184,320\u001b[0m │ conv5_block18_0_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block18_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m512\u001b[0m │ conv5_block18_1_… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block18_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ conv5_block18_1_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block18_2_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m36,864\u001b[0m │ conv5_block18_1_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block18_conc… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv5_block17_co… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m1472\u001b[0m) │ │ conv5_block18_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block19_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m5,888\u001b[0m │ conv5_block18_co… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m1472\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block19_0_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv5_block19_0_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m1472\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block19_1_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m188,416\u001b[0m │ conv5_block19_0_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block19_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m512\u001b[0m │ conv5_block19_1_… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block19_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ conv5_block19_1_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block19_2_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m36,864\u001b[0m │ conv5_block19_1_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block19_conc… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv5_block18_co… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m1504\u001b[0m) │ │ conv5_block19_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block20_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m6,016\u001b[0m │ conv5_block19_co… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m1504\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block20_0_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv5_block20_0_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m1504\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block20_1_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m192,512\u001b[0m │ conv5_block20_0_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block20_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m512\u001b[0m │ conv5_block20_1_… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block20_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ conv5_block20_1_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block20_2_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m36,864\u001b[0m │ conv5_block20_1_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block20_conc… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv5_block19_co… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m1536\u001b[0m) │ │ conv5_block20_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block21_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m6,144\u001b[0m │ conv5_block20_co… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m1536\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block21_0_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv5_block21_0_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m1536\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block21_1_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m196,608\u001b[0m │ conv5_block21_0_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block21_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m512\u001b[0m │ conv5_block21_1_… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block21_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ conv5_block21_1_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block21_2_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m36,864\u001b[0m │ conv5_block21_1_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block21_conc… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv5_block20_co… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m1568\u001b[0m) │ │ conv5_block21_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block22_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m6,272\u001b[0m │ conv5_block21_co… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m1568\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block22_0_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv5_block22_0_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m1568\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block22_1_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m200,704\u001b[0m │ conv5_block22_0_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block22_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m512\u001b[0m │ conv5_block22_1_… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block22_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ conv5_block22_1_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block22_2_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m36,864\u001b[0m │ conv5_block22_1_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block22_conc… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv5_block21_co… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m1600\u001b[0m) │ │ conv5_block22_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block23_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m6,400\u001b[0m │ conv5_block22_co… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m1600\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block23_0_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv5_block23_0_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m1600\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block23_1_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m204,800\u001b[0m │ conv5_block23_0_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block23_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m512\u001b[0m │ conv5_block23_1_… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block23_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ conv5_block23_1_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block23_2_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m36,864\u001b[0m │ conv5_block23_1_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block23_conc… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv5_block22_co… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m1632\u001b[0m) │ │ conv5_block23_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block24_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m6,528\u001b[0m │ conv5_block23_co… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m1632\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block24_0_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv5_block24_0_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m1632\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block24_1_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m208,896\u001b[0m │ conv5_block24_0_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block24_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m512\u001b[0m │ conv5_block24_1_… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block24_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ conv5_block24_1_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block24_2_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m36,864\u001b[0m │ conv5_block24_1_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block24_conc… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv5_block23_co… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m1664\u001b[0m) │ │ conv5_block24_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block25_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m6,656\u001b[0m │ conv5_block24_co… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m1664\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block25_0_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv5_block25_0_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m1664\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block25_1_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m212,992\u001b[0m │ conv5_block25_0_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block25_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m512\u001b[0m │ conv5_block25_1_… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block25_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ conv5_block25_1_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block25_2_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m36,864\u001b[0m │ conv5_block25_1_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block25_conc… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv5_block24_co… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m1696\u001b[0m) │ │ conv5_block25_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block26_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m6,784\u001b[0m │ conv5_block25_co… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m1696\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block26_0_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv5_block26_0_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m1696\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block26_1_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m217,088\u001b[0m │ conv5_block26_0_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block26_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m512\u001b[0m │ conv5_block26_1_… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block26_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ conv5_block26_1_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block26_2_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m36,864\u001b[0m │ conv5_block26_1_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block26_conc… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv5_block25_co… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m1728\u001b[0m) │ │ conv5_block26_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block27_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m6,912\u001b[0m │ conv5_block26_co… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m1728\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block27_0_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv5_block27_0_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m1728\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block27_1_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m221,184\u001b[0m │ conv5_block27_0_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block27_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m512\u001b[0m │ conv5_block27_1_… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block27_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ conv5_block27_1_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block27_2_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m36,864\u001b[0m │ conv5_block27_1_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block27_conc… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv5_block26_co… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m1760\u001b[0m) │ │ conv5_block27_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block28_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m7,040\u001b[0m │ conv5_block27_co… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m1760\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block28_0_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv5_block28_0_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m1760\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block28_1_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m225,280\u001b[0m │ conv5_block28_0_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block28_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m512\u001b[0m │ conv5_block28_1_… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block28_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ conv5_block28_1_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block28_2_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m36,864\u001b[0m │ conv5_block28_1_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block28_conc… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv5_block27_co… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m1792\u001b[0m) │ │ conv5_block28_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block29_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m7,168\u001b[0m │ conv5_block28_co… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m1792\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block29_0_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv5_block29_0_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m1792\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block29_1_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m229,376\u001b[0m │ conv5_block29_0_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block29_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m512\u001b[0m │ conv5_block29_1_… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block29_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ conv5_block29_1_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block29_2_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m36,864\u001b[0m │ conv5_block29_1_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block29_conc… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv5_block28_co… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m1824\u001b[0m) │ │ conv5_block29_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block30_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m7,296\u001b[0m │ conv5_block29_co… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m1824\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block30_0_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv5_block30_0_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m1824\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block30_1_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m233,472\u001b[0m │ conv5_block30_0_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block30_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m512\u001b[0m │ conv5_block30_1_… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block30_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ conv5_block30_1_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block30_2_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m36,864\u001b[0m │ conv5_block30_1_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block30_conc… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv5_block29_co… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m1856\u001b[0m) │ │ conv5_block30_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block31_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m7,424\u001b[0m │ conv5_block30_co… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m1856\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block31_0_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv5_block31_0_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m1856\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block31_1_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m237,568\u001b[0m │ conv5_block31_0_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block31_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m512\u001b[0m │ conv5_block31_1_… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block31_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ conv5_block31_1_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block31_2_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m36,864\u001b[0m │ conv5_block31_1_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block31_conc… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv5_block30_co… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m1888\u001b[0m) │ │ conv5_block31_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block32_0_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m7,552\u001b[0m │ conv5_block31_co… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m1888\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block32_0_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv5_block32_0_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ \u001b[38;5;34m1888\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block32_1_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m241,664\u001b[0m │ conv5_block32_0_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block32_1_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m512\u001b[0m │ conv5_block32_1_… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block32_1_re… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ conv5_block32_1_… │\n",
"│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block32_2_co… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m36,864\u001b[0m │ conv5_block32_1_… │\n",
"│ (\u001b[38;5;33mConv2D\u001b[0m) │ │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ conv5_block32_conc… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ conv5_block31_co… │\n",
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ \u001b[38;5;34m1920\u001b[0m) │ │ conv5_block32_2_… │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m7,680\u001b[0m │ conv5_block32_co… │\n",
"│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m1920\u001b[0m) │ │ │\n",
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
"│ relu (\u001b[38;5;33mActivation\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, │ \u001b[38;5;34m0\u001b[0m │ bn[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n",
"│ │ \u001b[38;5;34m1920\u001b[0m) │ │ │\n",
"└─────────────────────┴───────────────────┴────────────┴───────────────────┘\n"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
" Total params: 18,321,984 (69.89 MB)\n",
"\n"
],
"text/plain": [
"\u001b[1m Total params: \u001b[0m\u001b[38;5;34m18,321,984\u001b[0m (69.89 MB)\n"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
" Trainable params: 0 (0.00 B)\n",
"\n"
],
"text/plain": [
"\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m0\u001b[0m (0.00 B)\n"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
" Non-trainable params: 18,321,984 (69.89 MB)\n",
"\n"
],
"text/plain": [
"\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m18,321,984\u001b[0m (69.89 MB)\n"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"pre_trained_model.summary()"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "d21e23ba",
"metadata": {
"execution": {
"iopub.execute_input": "2024-10-17T13:00:11.498247Z",
"iopub.status.busy": "2024-10-17T13:00:11.497551Z",
"iopub.status.idle": "2024-10-17T13:00:11.503999Z",
"shell.execute_reply": "2024-10-17T13:00:11.502931Z"
},
"papermill": {
"duration": 0.027689,
"end_time": "2024-10-17T13:00:11.506073",
"exception": false,
"start_time": "2024-10-17T13:00:11.478384",
"status": "completed"
},
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"last layer output shape: (None, 7, 7, 1376)\n"
]
}
],
"source": [
"# Choose `conv4_block1_preact_bn` as the last layer of your base model\n",
"last_layer = pre_trained_model.get_layer('conv5_block16_0_bn')\n",
"print('last layer output shape: ', last_layer.output.shape) # Access shape through the output attribute\n",
"last_output = last_layer.output"
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "6acdb9da",
"metadata": {
"execution": {
"iopub.execute_input": "2024-10-17T13:00:11.543202Z",
"iopub.status.busy": "2024-10-17T13:00:11.542603Z",
"iopub.status.idle": "2024-10-17T13:00:11.658491Z",
"shell.execute_reply": "2024-10-17T13:00:11.657588Z"
},
"papermill": {
"duration": 0.136126,
"end_time": "2024-10-17T13:00:11.660528",
"exception": false,
"start_time": "2024-10-17T13:00:11.524402",
"status": "completed"
},
"tags": []
},
"outputs": [],
"source": [
"from tensorflow.keras import Model\n",
"\n",
"# Flatten the output layer to 1 dimension\n",
"x = tf.keras.layers.Flatten()(last_output)\n",
"# Add a fully connected layer with 1,024 hidden units and ReLU activation\n",
"x = tf.keras.layers.Dense(256, activation='relu')(x)\n",
"# Add a dropout rate of 0.2\n",
"x = tf.keras.layers.Dropout(0.2)(x)\n",
"# Add a final sigmoid layer for classification\n",
"x = tf.keras.layers.Dense (2, activation='sigmoid')(x)\n",
"\n",
"# Append the dense network to the base model\n",
"model = Model(pre_trained_model.input, x)\n",
"# Changed the file extension from .h5 to .keras to align with Keras requirement\n",
"cb = [EarlyStopping(patience=10,monitor='val_accuracy',mode='max',restore_best_weights=True),ModelCheckpoint(\"ResNet50V2-01.keras\",save_best_only=True)]\n",
"\n",
"# Print the model summary. See your dense network connected at the end.\n",
"# model.summary()"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "4b0df385",
"metadata": {
"execution": {
"iopub.execute_input": "2024-10-17T13:00:11.697816Z",
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"tags": []
},
"outputs": [],
"source": [
"model.compile(optimizer='adam',\n",
" loss='binary_crossentropy',\n",
" metrics = ['accuracy'])"
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "68249df7",
"metadata": {
"execution": {
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"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/50\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"WARNING: All log messages before absl::InitializeLog() is called are written to STDERR\n",
"I0000 00:00:1729170033.512191 85 service.cc:145] XLA service 0x7825240026f0 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:\n",
"I0000 00:00:1729170033.512281 85 service.cc:153] StreamExecutor device (0): Tesla P100-PCIE-16GB, Compute Capability 6.0\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\u001b[1m 2/100\u001b[0m \u001b[37m━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[1m7s\u001b[0m 80ms/step - accuracy: 0.6016 - loss: 0.7802 "
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"I0000 00:00:1729170052.758959 85 device_compiler.h:188] Compiled cluster using XLA! This line is logged at most once for the lifetime of the process.\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\u001b[1m100/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m89s\u001b[0m 527ms/step - accuracy: 0.7720 - loss: 0.5297 - val_accuracy: 0.9619 - val_loss: 0.1350\n",
"Epoch 2/50\n",
"\u001b[1m100/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m11s\u001b[0m 107ms/step - accuracy: 0.9594 - loss: 0.1288 - val_accuracy: 0.9643 - val_loss: 0.1166\n",
"Epoch 3/50\n",
"\u001b[1m100/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m11s\u001b[0m 110ms/step - accuracy: 0.9879 - loss: 0.0537 - val_accuracy: 0.9762 - val_loss: 0.0635\n",
"Epoch 4/50\n",
"\u001b[1m100/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m8s\u001b[0m 82ms/step - accuracy: 0.9883 - loss: 0.0386 - val_accuracy: 0.9762 - val_loss: 0.0723\n",
"Epoch 5/50\n",
"\u001b[1m100/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m8s\u001b[0m 81ms/step - accuracy: 0.9881 - loss: 0.0375 - val_accuracy: 0.9690 - val_loss: 0.0778\n",
"Epoch 6/50\n",
"\u001b[1m100/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m11s\u001b[0m 107ms/step - accuracy: 0.9940 - loss: 0.0222 - val_accuracy: 0.9786 - val_loss: 0.0617\n",
"Epoch 7/50\n",
"\u001b[1m100/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m8s\u001b[0m 82ms/step - accuracy: 0.9991 - loss: 0.0058 - val_accuracy: 0.9786 - val_loss: 0.0717\n",
"Epoch 8/50\n",
"\u001b[1m100/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m11s\u001b[0m 107ms/step - accuracy: 1.0000 - loss: 0.0039 - val_accuracy: 0.9833 - val_loss: 0.0522\n",
"Epoch 9/50\n",
"\u001b[1m100/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m8s\u001b[0m 81ms/step - accuracy: 0.9998 - loss: 0.0024 - val_accuracy: 0.9833 - val_loss: 0.0556\n",
"Epoch 10/50\n",
"\u001b[1m100/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m8s\u001b[0m 81ms/step - accuracy: 1.0000 - loss: 0.0023 - val_accuracy: 0.9810 - val_loss: 0.0537\n",
"Epoch 11/50\n",
"\u001b[1m100/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m10s\u001b[0m 102ms/step - accuracy: 1.0000 - loss: 0.0017 - val_accuracy: 0.9810 - val_loss: 0.0486\n",
"Epoch 12/50\n",
"\u001b[1m100/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m11s\u001b[0m 105ms/step - accuracy: 1.0000 - loss: 0.0016 - val_accuracy: 0.9857 - val_loss: 0.0462\n",
"Epoch 13/50\n",
"\u001b[1m100/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m8s\u001b[0m 80ms/step - accuracy: 1.0000 - loss: 7.8304e-04 - val_accuracy: 0.9833 - val_loss: 0.0561\n",
"Epoch 14/50\n",
"\u001b[1m100/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m8s\u001b[0m 81ms/step - accuracy: 1.0000 - loss: 0.0011 - val_accuracy: 0.9857 - val_loss: 0.0475\n",
"Epoch 15/50\n",
"\u001b[1m100/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m8s\u001b[0m 81ms/step - accuracy: 1.0000 - loss: 7.4205e-04 - val_accuracy: 0.9833 - val_loss: 0.0509\n",
"Epoch 16/50\n",
"\u001b[1m100/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m8s\u001b[0m 81ms/step - accuracy: 1.0000 - loss: 5.4712e-04 - val_accuracy: 0.9857 - val_loss: 0.0501\n",
"Epoch 17/50\n",
"\u001b[1m100/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m8s\u001b[0m 81ms/step - accuracy: 1.0000 - loss: 4.0928e-04 - val_accuracy: 0.9833 - val_loss: 0.0535\n",
"Epoch 18/50\n",
"\u001b[1m100/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m8s\u001b[0m 82ms/step - accuracy: 1.0000 - loss: 3.6184e-04 - val_accuracy: 0.9857 - val_loss: 0.0511\n",
"Epoch 19/50\n",
"\u001b[1m100/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m8s\u001b[0m 80ms/step - accuracy: 1.0000 - loss: 3.5606e-04 - val_accuracy: 0.9833 - val_loss: 0.0518\n",
"Epoch 20/50\n",
"\u001b[1m100/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m8s\u001b[0m 84ms/step - accuracy: 1.0000 - loss: 3.3138e-04 - val_accuracy: 0.9881 - val_loss: 0.0538\n",
"Epoch 21/50\n",
"\u001b[1m100/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m8s\u001b[0m 81ms/step - accuracy: 1.0000 - loss: 3.6845e-04 - val_accuracy: 0.9833 - val_loss: 0.0540\n",
"Epoch 22/50\n",
"\u001b[1m100/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m8s\u001b[0m 81ms/step - accuracy: 1.0000 - loss: 2.8061e-04 - val_accuracy: 0.9833 - val_loss: 0.0549\n",
"Epoch 23/50\n",
"\u001b[1m100/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m8s\u001b[0m 80ms/step - accuracy: 1.0000 - loss: 1.9627e-04 - val_accuracy: 0.9857 - val_loss: 0.0562\n",
"Epoch 24/50\n",
"\u001b[1m100/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m8s\u001b[0m 80ms/step - accuracy: 1.0000 - loss: 1.6497e-04 - val_accuracy: 0.9857 - val_loss: 0.0525\n",
"Epoch 25/50\n",
"\u001b[1m100/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m8s\u001b[0m 81ms/step - accuracy: 1.0000 - loss: 1.5839e-04 - val_accuracy: 0.9857 - val_loss: 0.0533\n",
"Epoch 26/50\n",
"\u001b[1m100/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m8s\u001b[0m 81ms/step - accuracy: 1.0000 - loss: 2.4153e-04 - val_accuracy: 0.9833 - val_loss: 0.0541\n",
"Epoch 27/50\n",
"\u001b[1m100/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m8s\u001b[0m 81ms/step - accuracy: 1.0000 - loss: 1.9172e-04 - val_accuracy: 0.9833 - val_loss: 0.0568\n",
"Epoch 28/50\n",
"\u001b[1m100/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m8s\u001b[0m 80ms/step - accuracy: 1.0000 - loss: 1.3419e-04 - val_accuracy: 0.9857 - val_loss: 0.0565\n",
"Epoch 29/50\n",
"\u001b[1m100/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m8s\u001b[0m 81ms/step - accuracy: 1.0000 - loss: 1.4163e-04 - val_accuracy: 0.9833 - val_loss: 0.0554\n",
"Epoch 30/50\n",
"\u001b[1m100/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m8s\u001b[0m 81ms/step - accuracy: 1.0000 - loss: 1.1382e-04 - val_accuracy: 0.9881 - val_loss: 0.0565\n"
]
}
],
"source": [
"history = model.fit(\n",
" train_data,\n",
" train_labels,\n",
" epochs=50,\n",
" validation_data=(val_data, val_labels),\n",
" callbacks = cb)"
]
},
{
"cell_type": "code",
"execution_count": 14,
"id": "85f4bac6",
"metadata": {
"execution": {
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"status": "completed"
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"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\u001b[1m3/3\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m13s\u001b[0m 6s/step - accuracy: 0.9624 - loss: 0.1804\n",
"Testing Accuracy: 96.39%\n"
]
}
],
"source": [
"#Evaluating the model on the data\n",
"\n",
"test_scores = model.evaluate(test_data, test_labels)\n",
"print(\"Testing Accuracy: %.2f%%\"%(test_scores[1] * 100))"
]
},
{
"cell_type": "code",
"execution_count": 15,
"id": "a8a9fd3f",
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"outputs": [
{
"data": {
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",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"def plot_loss_curves(history):\n",
" \"\"\"\n",
" Returns separate loss curves for training and validation metrics.\n",
" Args:\n",
" history: TensorFlow model History object (see: https://www.tensorflow.org/api_docs/python/tf/keras/callbacks/History)\n",
" \"\"\"\n",
" loss = history.history['loss']\n",
" val_loss = history.history['val_loss']\n",
"\n",
" accuracy = history.history['accuracy']\n",
" val_accuracy = history.history['val_accuracy']\n",
"\n",
" epochs = range(len(history.history['loss']))\n",
"\n",
" # Plot loss\n",
" plt.plot(epochs, loss, label='training_loss')\n",
" plt.plot(epochs, val_loss, label='val_loss')\n",
" plt.title('Loss')\n",
" plt.xlabel('Epochs')\n",
" plt.legend()\n",
" plt.grid()\n",
"\n",
"\n",
" # Plot accuracy\n",
" plt.figure()\n",
" plt.grid()\n",
" plt.plot(epochs, accuracy, label='training_accuracy')\n",
" plt.plot(epochs, val_accuracy, label='val_accuracy')\n",
" plt.title('Accuracy')\n",
" plt.xlabel('Epochs')\n",
" plt.legend();\n",
"\n",
"plot_loss_curves(history)"
]
},
{
"cell_type": "code",
"execution_count": 16,
"id": "592ddd62",
"metadata": {
"execution": {
"iopub.execute_input": "2024-10-17T13:06:11.761081Z",
"iopub.status.busy": "2024-10-17T13:06:11.760669Z",
"iopub.status.idle": "2024-10-17T13:06:36.048340Z",
"shell.execute_reply": "2024-10-17T13:06:36.047225Z"
},
"papermill": {
"duration": 24.549407,
"end_time": "2024-10-17T13:06:36.050449",
"exception": false,
"start_time": "2024-10-17T13:06:11.501042",
"status": "completed"
},
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\u001b[1m3/3\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m24s\u001b[0m 6s/step\n",
" precision recall f1-score support\n",
"\n",
"Monkeypox_augmented 0.94 0.97 0.96 33\n",
" Others_augmented 0.98 0.96 0.97 50\n",
"\n",
" micro avg 0.96 0.96 0.96 83\n",
" macro avg 0.96 0.96 0.96 83\n",
" weighted avg 0.96 0.96 0.96 83\n",
" samples avg 0.96 0.96 0.96 83\n",
"\n"
]
}
],
"source": [
"CLASSES = [ 'Monkeypox_augmented',\n",
" 'Others_augmented']\n",
"\n",
"pred_labels = model.predict(test_data)\n",
"#Print the classification report of the tested data\n",
"\n",
"#Since the labels are softmax arrays, we need to roundoff to have it in the form of 0s and 1s,\n",
"#similar to the test_labels\n",
"def roundoff(arr):\n",
" \"\"\"To round off according to the argmax of each predicted label array. \"\"\"\n",
" arr[np.argwhere(arr != arr.max())] = 0\n",
" arr[np.argwhere(arr == arr.max())] = 1\n",
" return arr\n",
"\n",
"for labels in pred_labels:\n",
" labels = roundoff(labels)\n",
"print(classification_report(test_labels, pred_labels, target_names=CLASSES))"
]
},
{
"cell_type": "code",
"execution_count": 17,
"id": "a4cf2ba0",
"metadata": {
"execution": {
"iopub.execute_input": "2024-10-17T13:06:36.569760Z",
"iopub.status.busy": "2024-10-17T13:06:36.569335Z",
"iopub.status.idle": "2024-10-17T13:06:36.825551Z",
"shell.execute_reply": "2024-10-17T13:06:36.824615Z"
},
"papermill": {
"duration": 0.51758,
"end_time": "2024-10-17T13:06:36.827617",
"exception": false,
"start_time": "2024-10-17T13:06:36.310037",
"status": "completed"
},
"tags": []
},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"\n",
"\n",
"# Assuming pred_labels and test_labels are defined\n",
"pred_ls = np.argmax(pred_labels, axis=1)\n",
"test_ls = np.argmax(test_labels, axis=1)\n",
"\n",
"conf_arr = confusion_matrix(test_ls, pred_ls)\n",
"\n",
"# Create a custom colormap using the specified colors\n",
"cmap = sns.color_palette([\"#945c23\", \"#fec59b\"], as_cmap=True)\n",
"\n",
"plt.figure(figsize=(8, 6), dpi=80, facecolor='w', edgecolor='k')\n",
"\n",
"# Plot the heatmap with the custom colormap\n",
"ax = sns.heatmap(conf_arr, cmap=cmap, annot=True, fmt='d', xticklabels=CLASSES, yticklabels=CLASSES)\n",
"\n",
"plt.title('Monkeypox detection')\n",
"plt.xlabel('Prediction')\n",
"plt.ylabel('Truth')\n",
"plt.show()\n"
]
},
{
"cell_type": "code",
"execution_count": 18,
"id": "0a7b6089",
"metadata": {
"execution": {
"iopub.execute_input": "2024-10-17T13:06:37.389577Z",
"iopub.status.busy": "2024-10-17T13:06:37.389187Z",
"iopub.status.idle": "2024-10-17T13:06:39.388335Z",
"shell.execute_reply": "2024-10-17T13:06:39.387411Z"
},
"papermill": {
"duration": 2.270803,
"end_time": "2024-10-17T13:06:39.399056",
"exception": false,
"start_time": "2024-10-17T13:06:37.128253",
"status": "completed"
},
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\u001b[1m3/3\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 63ms/step\n"
]
},
{
"data": {
"image/png": 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/VL//x3+sv7/7u1+dxSAi8o//8fkXi4jusyX2GXM+qn5PfMzH6Nj3StpL7Z/8k/PL/8f/OJ/FcX/cl3vDU54icnJy9TW85RYdxx9y++3nMw1S0gyRKzMjREQ+67P0D7r9rbSX2vd93/n1mrH6jd/YL2svta//+nu+dt/5nVc/S89+tr7EmqH6rd/Sdb/92/ff/+f/XJe9/OX7Ze2aXpn18BM/ocv/3b/T3z/zM/UlfDhwEBH5pV+6ei46z5rp89jH6nzzKU+5+jo3PuVTdJ1Op3P/02280m18t/GHdBvfbXyn07kHDoOQzUPyfd+nL4zNRuRf/ktd78og5I28WK41ABDRgMphunYbyLz0peoV+6APujq9/73eS+SjP/rqF+lP/7R+97u/e7/u+7+/evYab3yjVkceprW3wcCVPxcv7gM6N2LsRPaG+v3eT1/u/9//d/X3ruR1r7u2h0nk3hvQ++OeXI92/T7nc84vbwO5KytMn/98Xd48hy9+sf5+WMkoosbo4sXzwcW7M/5/5a+c9/y2Qcy3f7t6ld/hHa4u+fn8z9fSite//upn6eTkvHf/S79U/xYOr+uTnyzywR98fpug+7uST/kUHXikdGODEBGtcLRWnyUQ+Vf/6urviaj3GLSkpNPpPCjpc3mlz+X7XP6QPpd/25rL31BPyMa7vMv532+9Vf9t8vevepVK0D/+8efXe8d3VC3kV73qnrfXtnkop/+WHtulS/rvO7/ztZcfHjOcl+VvPOEJVx/zNKke8L055n/8j7Vdwvd/v2oXH/Lyl+tM5d3eTbd3+PNbvwWvf/1+3U/5FNXu/Z7v0d/vuEP7z//1v666wIc8/vFXL3v3d9d/m7b2q1517fP9s392/3njcY9TjfFf/VVte/AP/sHV37s7RO7+s3vzLMH9c1+ux6MfffU1vHTp+s/SG96gmut3d21LOa8fDte/Do2f+znV9f7SLz2vKw36LIG2nrjyWfr2b1d99zvu0HWe8AR43/fdP0ug//0BH3D13621qvt+yLWepUc+Ei5cuPp82+eNYYB//a+1Rcpdd8F3fMfV17khcvefdTqd+4du47uN7zb+/LLDY+42/vz5ts8b3cZ3On+KefjDtUnMi1+szY1yhk/+5GuveyMvFrixwcTHfZxu96d+Spv9HPLyl2vfwitfpK25zaFhfuYztVFPO5aXvER7+/3Nv3n1Pj/zM7Uf5s/8DPzar+l2/t7fO38u99bYfcmXwJOeBP/tv2mjqSc+8erv3R13Z5TvjQG9P+/J9bjZA7xhUON25TFfy/jf3TF/4RfqwOinf1oHR4e8/OVqdB/xiKufpcuXr36Ottt9g6ff/m19Rq71HL3bu1297N3fXQceb3jDjQ9CPviD4bM/W5+lj/oo+Ft/6+rvwf656Ua503nQ0+fyfS7f5/Lnlx0ec5/Lnz/f9nnj/p7L+xtbXXHu7g/gkHt7MPd2e/dlWzdzH/e0vWvxUR+lc51/8k/0pTZN+89K0ev0Ez9x7W2enOz/+9ZbtYHt93yP9hj//u/XB/Vv/I237BxulP/4H/Xf17wG3vhGNVLX46EPvecXygN5X97Sbd3sY76Rbb7He8Dtt8O//bfa9/6xj91/Vor++w3foA2Or8Xh8/TMZ8IXfAH84R/qc/TLvwwvfOFbegY3xk/9lP672+nL+PA8Dnnzm7WxcafTeevRbXy38d3GX0238feebuM7nT/F/LW/Bn/n78BrXwsf8zHq0bwZ3MjL+ZM+Cb7zO9WgftZnnf+sFPjIj9wHCK+keW4APvVT4TnP0e18xVfAd383/IW/cG3P1bu92z6QeV95xSv23qqXvezefechD9EBx90Z5ZtpQK+3zQfjAO9a2/v4j4fv/V74uq+D7/ou9fQ1StEA5KGH8JBDL+sTnwhPfrI+P898pv47DPCMZ7xl53AjzDP85/+s//17v6ee16Ojq9drz003yp3Og54+l+9z+T6Xv5o+l7/33J9z+beoEvJ63HabXuA2dm687nV6Q2677f7Y632jHdNv//bVn/32b9+3Y/6AD9DMil/8RfirfxVS2n/2uMfpg/vYx+q85cqfD/iA89t65jPhd35HMxy+53vgfd7n6sQ8gN/93av/IH7nd/TfxzxG/73ttmuf7//5P/vPG9/yLZrc+bVfC8ty9Xzu7njCE/TBbBH9G+X+vC/3Fw9/uI7t7+7aWnt1dsa95WEP02TMEOAv/SU1MI3HPU7/vXjx2s/SR3yEfq/xqZ+qL9N/9+/0WQpBs3eupBSdCx9yrWfpNa/RTIkrz7d93vhf/wu++qvhMz5Dn99nP/vun49XvnKfndHpdN426Db+PN3Gdxvf6Da+2/hO5089n/AJ+iL85V/WgOTdcSMvlhvlG74B/vbfhs/5HK3KPORxj9NKtbt7kR6muz/kIfC0p+lL9FWv0qrIa1WvXY8bMXalwKd/ur7sv+Ir9CX+gz94/X14r+f2ylfe+PEdHuf9dU/uL+7u2i6LXov7csxPf7qWA7z4xfC5n3v+s8c9Tr28H/zB136OnvSk8+s/85nwsz8Lf/zHur2nPW1fSnHIlYNrUKN8dLQvmbiRQchzn6vlOt/4jXo9vuzLrn2u7bnpRrnTebunz+XP0+fyfS7f6HP5+38uf78EIT/2Y/Xf5z///PJv+ib992lPuz/2et/4C39Bk9m+5Vs0ytz4iZ/Qcdt9PeaP+AhNpPvJn9S5S4uCf+In6oP1VV919UtIRMe2h3zMx+iD/fVfr6W+d5dV8ZrX7BU/AO68UxP43vu99xkRH/uxqszxS7+0X+/0FL7t2/Rhbcovr3yllhJ/0ifpXOgbvxF+5Ed0e9fjAz9Qz+PXfu36616L+/u+3B84B099KvzwD+/Ln0GN+otfDB/yIVcrA90Ij360vti2W03kbc/Ik5+sL7Zv/EadW1/JG95w/veHPUyfp+/+bn2pffRH330Ww2HGhYj+3l6soM9SzldnZvzTf6qZQx/zMfp7jDqvfuQj4QUvgH/zb/S6POc5V+/zjjs0YfODPuh6V6TT6bw16Tb+arqNv/6616Lb+KvpNr7T6TyoOTmBb/5m1QX7uI+7+/Xu7YvlLcEYNXaf/Mmqe/UjP7L/7BnPUMPY0rwPuf32895HUKP+m7+phtI59QrdKDdi7L7pm9QT+m3fBs97nr4kP/uz4U/+5Pr7+cAPhP/+32/8+Br35z25v/iIj9Cqwn/2z84PtP7Vv1JDc18HEs98pm77W75F9dUaz3iGXqvnPe/q76Skz9Ihn/Zpeg2/4AvUW3h3A7xf+iX4H/9j//urX60Djqc+VZ+/GxmE/Mqv6KDhC78QvuiL9Bl+4Qt1gHklv/Zrenwf+IH34qJ0Op0HM30ufzV9Ln/9da9Fn8tfTZ/L3zNvkRzr9XjSk3S8/23fpuOvpzxF/3i+8zs1oezDPuz+2Ot9IwR9UXzGZ+jxftqn6cV+wQv0D/xaF/1GefrTVU/3mc/Uh/pbv1Ufwq/5GvjyL9c/gKc/XXV6X/lKfSl95mfCF3/x+eP81E/Vh8c5Pc5r8e7vrgmgv/qr8A7voEl8r3ud7r/xZV+mUfWP+Rj4/M/XZM/v/E7d9w/8gGYAiGjrgM1G55OgWRU/8AM6hv6Ij9AH9O74kA/REu+f/mn48A+/8Wv21rgv9wdf8zWaifIhH6JJuN7r/Z5nLfO/rzz+8Vpu/6EfqvIBP/uz+kx9+7fr/XyP99Br9qhHwR/9Ebz0pfr5j/7o+e0885n7Vi3XmkOByhH85E/q3/T7v78alB//cTVwTWnm4z5O/66/8iv1OX7Sk/T4fviHdd7Tsj6+5mvg139d26VcuADv9V4qVfD3/74eRxsQgT4zIqqE0+l03nboNv7adBt/49es2/hr0218p9N5UPOsZ11/nXv7YnlLsVY9N09/ugaM/sN/UEP1JV+i3rm//JfV0/LkJ6tX72UvU+203//9816epz1NDd1LXqIv4Ec84saP5d4au9/6LW3k9Omfvg/g/pt/o17Jz/kc+L7vu+f9fPzHqwbY7/zOeVnZe8v9fU/uDx7+cB1kfdVXqYfur/wVLW940Yu0odLN0MH7vM9TD/FXfqU2l/qKr9D7+Fmfpc3Efv3X1aMZgpYWveQlem8P+6E+/OF6fC95iUoU351n9j3fUw3/53++Nhd70Yt0+Vd91X6dezMI2e307/Dd3k1LY9o2fvRH9Tl82cvg+Hi/zf/0n7Sq86EPve/Xq9PpvE3T5/LXps/lb/ya9bn8telz+XtAboDnPlcERN7whvPLv+M7dPkrX7lfFqPIV32VyGMfKxKCyDu/s8iXf7nIbnf+u7fdJvK0p129r6c8RX9uBBD53M89v+yVr9Tl3/AN55e/9KW6/CUvOb/83/97kfd5H5FxFHnIQ0T++l8X+cM/PL/Os54lcnx89f7b9bnevl/0Il3+xV+8X/YDPyDyIR+i2z0+FnnCE/Rcfvu3r97Pf/tv+v2nPvXqz0T21/Snfkrkvd5Lz+UJT7j6XEVEfu/3RD75k0VuuUVkmkTe7/1EfuzH9p+/4AW6rx/4gfPf+4M/ELl4UeRjP/bax3DI53++yOMff37Z3V3/ds2+4zvOL7+Z9+Xe8JSniLzHe1y9/O6e12s9e//jf4h81EeJnJyIHB2JfNiHifziL55fp/3t/Oqvnl/ers9LX3rP+/6VXxG5cEHkL/5FkbMzXfY//6fIJ36iyEMfqtfrtttEnvEMkZ/5mauPe55Fbr1V5NIlke326s/bNf2939Pn7ehI5B3eQa9pzufXvesukec8R+SRj9S/+Xd7N332S9HPf+3XRLwX+bt/9/z3UhJ53/fV7735zfvln/Ip+jfR6XTeOnQbr3Qb3238lXQb3218p9O5G+7uRXcl13rJXe/F0rjWS7ht81nP2v9+rYHM2Zm+9E9ORH75l/f7/fIvV+M1DCIPe5jIB32QyDd+o8iyXL2fz/kc3e6LX3z1Z3c3GLgW92Ts2svy0Y8Wuf32899rxvrf//t73v4867k873nnl9+IAb3Z9+R63OhA7u6etxe+UAdDIagh++zPPm90RO7e+D/rWXrc19v33/t7uvyFL9wv+7ZvE3nyk0U2GzXYf+7P6Xqvec3V+/m+79Pvf+ZnXv2ZyP6afvd363UfR31eDgcLjesNQp7zHBHndCBxyH//72qsP/uz98tuv13/Dr792699XJ1O50FBn8srfS7f5/JX0ufybztzeSNyX9pzdh4IfuM3NCHyu77r2m0pHvMYTaL7sR97ax/ZtXnFK1Rr+id+Yl8O3HnbICXNjPm4j1PVmiv59E/XpOBrlYvfn7z2taq7/r3f26skOp3Ony66je/cLLqN73Q6nZvAc56jL9HXvlYbCb0t87znaSnFy1+uZRidtx1++Ie1jObnfx7+f/+/qz83RntPXqmXdn/z/Odr6cfv/Z6W03Q6nU7nLabP5Ts3i7fHufz90hOyc//yL/+lttv4xE98oI/k3vGu76ql5l/3dQ/0kXSu5Id+SLWnn/nMB/pIzvP858Of+3PdOdnpdP700W1852bRbXyn0+ncR3Y7lXX9pE962w9AggZML19Wz1DnbYt/+S910PQhH/JAH8meGLUR3N//+z0A2el0OjeBPpfv3CzeHufy90tPyJvNa197z59vNirP//bOj/4o/OZvqnb3533eeRn/t3WaPvUDzZveBMty9587t9dNfnvmV34F/tf/0mTZ93kf1e9+W6IbwE7nTw/dxivdxt93uo1Xuo3vdDqd+8jrX68Nb77/++GNb9TmSg8GTk702B9oclbP2T1xcqI/b+987/eqUf7xH9dGWcY80Ee0JwT4gz94oI+i0+k8iOlzeaXP5e87fS6vvD3P5R8UQch3eqd7/vxZz9Ke7W/v/N2/q01eP/Zjz/cm79x7PvET4ed+7u4/v+02bdT69s43f7Mm9b73e//p+NvpdDpvu3Qbr3Qbf9/pNl7pNr7T6XTuI7/5m/DX/zo84hHwz/6ZvlA7955Xv1q1uu6J5z4X/tE/eqsczgPKp32aBlv/9t+Gz/mcB/poOp1O56bS5/JKn8vfd/pcXnl7nss/KHpC/vRP3/Pnj3wkPPGJb51j6Ty4+bVfgze/+e4/32zggz/4rXc8nU6n86edbuM7N4tu4zudTqfTeRtgt4Nf+IV7Xudd31V/Op1Op/Ogpc/lOzeLPpd/++dBEYTsdDqdTqfT6XQ6nU6n0+l0Op1Op9PpdDoPHuwDfQCdTqfT6XQ6nU6n0+l0Op1Op9PpdDqdTuftiwdFT8gHglIKr3nNa7hw4QLmbal5eOdPPSLCXXfdxSMf+Uis7XkEnU6nc6N0G995W6bb+U6n07lvdDvfeVul2/hOp9O5b3Qb33lbptv5u6cHIe+G17zmNbzzO7/zA30Ync7d8upXv5pHP/rRD/RhdDqdzoOObuM7Dwa6ne90Op23jG7nO2/rdBvf6XQ6bxndxnceDHQ7fzU9CHk3XLhwAYBHP+RWnLP4EAjBYyzM85YQPNZaxmHgwsULXLp0CR9GYoxcvnyZ29/0Rpa44KwjeIc1ICVjjMF5TymFuCykHBERjo8vcMstl7hwcowxlrPtlt12i/OeWy5d4uTiRY4vXqJQ2G13xBhxwWGMI8aM8xNHxxd5+EMfwaVbH840HTNMJ4gRnHc4Z0hxIcUZEWEYRrzzGOM5OjrmwoWLGDHsdjuWeMYSTzk7u5OzsztJ80wRIbiRixdu5fjoIjYMZG8xLhCGkRAmBj/i/QDGEJfIbt4SlxkQjDEYb8CA5IzkBUrBmMLlO+/g8p1vZllmnBGsMXg/MG4eivWeYTMwjIElL5xuz1jmHbvdTNolckw449lsjpkuHFOMJWfB+QHvB0opbLenpLglbi+z295BnM/IKTEvgnMD4zgxTRtSSsy7HblkrCmUHJnjGSUnjBUomZwSMUVKFqSeV4oZrGGaJkIYiDFSSgETCGEAAxbLMA6E4Mm56PdS4uxsR0oLYPDOkeLC6ekZp2d3sCwLkEkpklJBxDCNx2w2R/zwj/z4+ox2Op1O58a48v1pAKn/752FXLh1dHzjP/xSLhjDpWHAGSHHRd/xOYNkKBlrDA4BKeQUKVIAg1hDKRmRjJUCUiglkVOmiAFjcMOIDwPWD4SjS1gXyAJYiwtqT43RbUuJSKn7FSHmhBQBDN4GnA1Y57EugHVgPcU5sBbwGDNi/YgfAjY4jEXtGPovIpAzRgSTi9rvVNSeZb1O1gijdxjJ5BwpSW1YzolEARGsc5ScOT07I8bIyckx3nmWGLHWsNkc45zFGBBApFByIZdCKRmKgDU1q9UgJVNK1uMQwYggotfFADkJpRRKzixxIaeMxEwwFmsdOA9hxE8jdhwZxg3GW8QCpgCCNZB3O+K8ZdmdknczpkRsSZiSyIva/9ZFvZSCs6E+PAaM1etsLXi9/i4MjOMRYfAY74ixYKyFIgRjoGTmszPIC8v2lHl7F2k5w1A4iwvP/nc/3+18p9PpvIW09+dHPeWD8NYB4KylpEwIQe1oSpSc8V7n9duzmXEc2e12CJnNZkPOasdD0Hd+jDPWWrz3xBwBzXhvP4cVGc45rLWUUnT9ZWEYBpx1xBSJKQEQQsA5D9aQc6aIYKwhl7xu02DWbRtjWOKCtRZnHSknUsk458gHx+GswxhDTBFrLcaYc8dpi6zH37bbMMas6wNYa0kprb8fru+cQ6Ta4lIQ0W0O08gSF1LK67oppfVYDvdhAFN0DEE7RmspOZNzxlqLtRYR2V8jZ5mXBUEIPiAixBRx1pGLDlyGMOCcW48zxsgSF0opuk1jz51LruMNETDWA3b9rJSClIL3gZzTuo12TO28SiksSyRnPe9xHLDWMs8LIoJzlv/9W6/oNr7T6XTeQtr784lPfCLHx8dsNhu1jctCzvr+b7baGIMUwWTwTu2ixdTPHaMfcNbinGcYAs45nHWMg9flGIyAweCqLSxSEAOm2t1cMinuKLms73nnPN4HNptR7bF1OFer4go4o8dgrM55vXe44HEhYI2pc3iIMZLigrUO63SdYRwJweO8B2sRhLLax4IAzntcjVsYAWcdg/dIzqSY1uskOROXyLKb1W5ZwxAGrDWUorY9l6LjoVJWmy2xrPNj5yzWO0DvwXa7JcZFz//oSK97KZRcxx1W/QAY1GcC5FJYYqxxkqRjgSJILpAL3lictVQHO7n5Q4wBb4lGONvtyDnhvOcRj3gE7/qu78qjHv1oNkeb1T6DjlGC8+s4BKqNr+MP4Nxn7fN7y+npKZ/4iZ/Y7fw16EHIu2F9EKUQrAPJLIsOmkvOJHQgm13CWcs0joRxYppGrDWkZcd2qy+Nk5NjnIFUB7zrwy8R73VC42wBSVgrbDYjIRi8E2LUZdMUuHjxEn4c2e22nJ6eEoJnOtowL4ndHDFGWMrMkk4JeASPxWIpBOcZQiAlS8nCNG3wfsTgmaYjpvECwY84dxk/e8ZxYBpHjo+O2e3ONDgXszosHYzTgBlHMBZjHM5YhhDYbI7wLhDjwjQElrjTl1X9n7UGa6DkgVISlIS+qjJx2WGR6rQ1jGOgoF5Kax1j2GC9Z+sD47AhTZm0WzAYpumIzcVbKBh280IRS5iO8N6zOT4mLmdsL49YZ9k5T1xmxEQMDh88wzRx7ANFdPLhnEUkcbY9ZTdvKSVxNHic1Wej5EJMkZSyOl9TIoSBYRhIKZFzARsw1rEsCyUXbPAUa9hsJoL3FBGGact2tyWnRF50UjtNA9ZdqNehsCwLyxJZlogxkFI894x2Op1O58a48v1p1P0FCFIKwRlSMbzDwx+OOztl4yxGCsVZhiFAzuQUyWkhWKvJRhZKXM5NfjKFksG0YJ8x4B2CQYzDea+TI++xDoajQYOIxmG9Q6AO+DM5FUpUx1spkUFKDVIagoPBW5x3iLUaFHMO4z04B8YjZsSGgTAO2BAw1iAUjNWJGAikTEkJyQlxFslFE2dE1BYbg3caQBPx5GQp2VNyImZ13Dnn9F/UmXp8fIz3nmVZMEZtoAg1aAmFAm7v+NN7sd4OnUiVQopRg7H1fllrcMbAUJ2kRSdeOWfIBZuSXj8xJANGBCtCSZEhjIzjgDFogFMixTu8BEZGxDlk2VEWAVtDtcFhra+SKgZrXB3ZAKYGe61DnMNYj/UB6wI+6P3NoQCWkgseoSSjQeJiyQa8NYRhwFoBt3c0dzqdTufGae/PaZyw1uCtYxgGjDHMZ1tKKYzDQMsucc6xufVI3/EipLwwhIB4rwlENaA0hLA6pqwx6qysTs2cc50TakCsBTfb/P/iyQm73W5dZxxHRIQkhXEacc4xxwWAYRg4PT3V/RxIee1/l9XBaqPBJIMLnnCw/t6ZdhA4rEEzEWEcwjWDii3gV5rTsQYt/Tiec+AdOuhEBKnbbttaUsRby3Q04FsSdk3WvTIICSB5H9Rr55mSwTlLqNc9pYSmjQmbzYZhHNbgqPeeE3fMdrtlMIFSyrr+MAyAOoZHM6zn1X6c03vlxNZzNFinycPtnI3VcVwIFmNsTYiqQVQj5LwP2G4203oOLVjZ9tnuT7fxnU6n85ZxmNgSYySEgPeecRzXdy2w2mcxogHFg/evMxZf3/3WaYDQWbdfZkz9jsMZLRpx1pFzJsZIFk0wNVIQ0QQVN3mGYWAcx5pg5Dg62mBrANLUxBdEGIcBXwOLxtbxhPeM04gG2gxFNKllmefVPmLQAGfwOOfwIZByJhUdg6SUyKXgawBSRAN53uk4aKxJO/M8c3r5MlEEFzy+FGzRdVoS1tnZmQ6TDOozcOq7CM4jS17tr7V2vdY75zRhxzlCCAz13mwG9YOLCEtOOo829TwRUs4ahIxRzyElStLApxVNJNOAcsF6r8VPObGbZ5acGLzHHR/XQqQtd7z5dl7zR6/h5PiYIQQuXbpEGAdNWIpR7/PBOKQlU12ZmHX4+bW4u+WH2+js6UHI62CtwXuPUMg1i69lNerzZGq2H7peHQCHEEgp6YDdOZzVbP79A62TAGsh+MC0mfCDZ14WrZSUgnEOJ+riijmRcsZjcS7gfMAPgTAMhHHC+i0xZpa45fKZwToB9A9fFmFZHOM4YozD2oB3gWk8wtqANZ5lyRgEaweGQYjJ1KzNwjAIxlgWs5BzISWtxnDGaIZiEVJMzOwwYhjGqVaJaFUjxqyO1JILYsEacBiKVAPgPOK9VjkYg6AvyyJaeSJbwQ0BUzNKStIqSmsNSH0poNfUGEMuQkEwzjMOAet0ArDEhSUlTNZgqhQh1cmFcfoytSVjnMMYmPxAcSPzvKUYYfBenYQGlhhJy8JunillB1isDQyDBjONH0hZsAUwRTM1dhERh0wO5x3GBYxLUIQlzuSklbFtUhqjXnPvqde+kJf5gfpz6HQ6nbd7BChFmDYaOLs0DEhNLiklVztVbbjzGiwzFqFQMIgx6pwqec3cA63gM4AzTtezFosG0oxR5xRFsE7WoBpodmIpWq2RUyTnhZKrDTZGE3mkQEmUBBi1ZwAYdYxhDWJKzSgsemxoBaRDjbLDULQUAaToGMeC0eHEGhwshwNtY6rT0UEpYKgVjYUwDBwPQ7XlpQbYjE6ScmaOqQ6GwFSbLwjOOj0yEaSAiEFEqw2LGEQ0UGkwFGM1EClQyFokitp/HR9AlkIugikJyU63kzWBSJPCkgY3a7DTYLBOg7kF8MYhTjNgvR/UdmPIBUo7TuuwzmOcoxiD9QHjAiJGqzVKxlinFZ9ZJ2sl6bguxciSEll0vGidwdQKjk6n0+ncN4w1a4UcUOeJmtjinMPW30UEvAMD4zThi1bPtUx96xzDENaEUAFMMYgBrMFaR0GgqOqRJuHWzP5lWSv2BQ0wDuNIylmDkjmxm3dYu09uybsdcD4geO686higVR82PYeWnHQYHPTea+XGwTba8vMVjGrfW7ViW6/trzkzrzyWFqBtfpL233PUys8WlD0MaF75o/fKIjWhqDn91kqNFqg8qMzkYH+tErH5YQ6Dfm0fbVvtOA+dju38D6tXcy5rkDnXRKt9IJRz17+UwjCM16yIFRFSSus+2/c7nU6nc99oySa73Q7nms97X/G22pgidb5e81xFEKNz1FznsDo+yJii6y25VNWemkhcWWIk5UQWgaIVkcVAOJoYxpHNZqMqed5jneNos1kDncaYtdp/CkHnfrYel9E5aJjG6vfWz1JOxCXqfPfAVtv6ubXVwZ7VtjWbH4YAGFKKLDExz7MG98ZxrQJsycMAc52zp5xVTcBoNWUblxhaHKOOfZzFmaD+jao4UEqhVN98G0fM80yMEVJBpqnaVatxD3TDBbAur2MYawzZWopV34uzFoNZKzGd9+r7T1aDlzlpIrn3FAzJOXJKvP51r9Pq1ayKFrduplW1wBl7zbHF4RjnSoWIK7mnAGTn2vQg5HXw3jKM+yxBzWTQLP7mwEopM88LRyesWRGHGQGlFKzZS3mY6nAM44hI5ujkmIc+9KFYazk9PeXy2en6cvEhgDXr5CXGTBHWAT3YmvExYJ1mPSzLGfPiGYeBYry+dGYQOSaEgWka8SEwTRuCn8gJUiqUIoQwMU4D82zIOWJM5ORYJUe2vlZE5kzKCV8Kznmct6SlkOaFbRaMVCdgyZhSJ0QIIpl5VnnWaahl4fXFpFIo6sS1VkvQQZ2eBc2axFqCGzjaHHOWIcfDCY+pQU/NZslSP3OWEIZ14jEuMylmSjGIWFJcEGPIoi8+Yy3GOqyzWO+ZholiRjKO+eyybtNbLSe3teR8EYpETDFYo5khGEc2liQR4wLO1WdjXkhnW4oxjIzkWg2DseRSiHWC4lqGSIwIpjq7HeR92Xyn0+l0bj4iqmb6sR/9EVrBt9sRqnRKqwpwNdsvOItBB+ySCikXpAWxpOCMoVCrJYxW0Dlbg2lW5UKdUXuSWsVhUXsJ6EAcwUjBSqmTHcGUgvVajeetBiIpBZGEbeNjo0k6RuoAW2QfbMtZf6VgcGqDrcGYgkEQKTX6WH+E+t/mYLBtkGq7jVHZNJWc1cncNI1cuHiB09NTYowqaeMcZ2dnLDFBPW9rdUx0mNHa9tMmPYJFcAg6BtIsUC2VVEeknq91FkErRJyzlAJeVK3BDiNumnA+YLyrVZYagLTSzk4Tp2wNrlpjcbZOvGoGpqsZrKley4zoNa6VJtLum9GAdKkTVGebXJ0mZJVcSEUD11iPC+rAdA48V09yOp1Op3PjpJTWeZupVY5+CMSa+Nmy6Y0xbHdblTBrtt2onKc022cMMWml4rTZsJs1MadU+4qp8mk1SdbUsYP+K2x3u9U3kFo1oLMcTcfEuGgAdBgpIuzmXTVtB5WGNbgVY7wq8KcyaPV4auVdq8RsQa8WZGsBvkNH22F1Xgu2wdVOt8Pjaf/dpGqvrCYYqzPWOcdcqzistTqvvwIRWefwbVtNRk9blOwDoSEErHfsdrs6FmANDh4G+0B9Ju2Y2rVvn7XtN//NYaVDzpksmRCO1+Ty5t9JKdXvwrKU9fpN07RXZDg4rxZM3Qd9u9Oy0+l0bhbNLjbbcvjeB30/t2TaZsur4A4FVd2xtbCl1ECcqQUzWQqUul6d486LtjhrCUjWe7y3bE42hGFgmiamaWKolZDDMKz2Tysh9di8MVqshKHkRCmCIWOKVlw65/BDwOEJYyDFUv0EB+dV7S7ZrEHJQ5vTbGjJhd12y7IszPPMNI5sxomj4+O1mvT09BQBYk5sdzs2mw0XL11cVR4Ok5kMhiwZ58wqX1typsSIrYFQW+1zjJGcEpfnuI4NhmnEe6++Dav+DopZk5mbzRbndA5e5+45Z6iFTBjweMIQGKUQc8ZmrfCUVHDOsmx3/OGrX80wDJycnLA52rA5OjoXgL3Sv35vqhd78PEtpwchr4N1BmupEh2wLAveD+ugfp5n5jmy3c6MZ2c106+cy3DTXgAj0bAOjH1w4AxFMsM0cnzhAkdHG6ajDW9+85vZbrfMy0LKGeu0N9TZ2RlDkfVlYo1jM24YNgPHx0fs5h2XTy+jEp5bdlvPZlLt43mZKaVwcnIRd2Sqk1EHwVmgGMNuibiSOToaGKcNS5yJaWEYA8YIIQxctneRUmK7PcMH1bb2vgbRECRFdmdn+OBw1qpONur7LBgGZ4lpYd7phNC5JuU6sNupNI4bBpWMPQoY4ykG5mUmpoQfBqZpo05AEU7nheYklZwRlzk62uBSJuYMJRGLBvDGaSItJ5QE3o/s/J3stqerMdktC5NzWBe0usIGBh+wbiKEkTfHxC4uLHnWQK6zFBwFiwsTpSTmJWPdwDiNKsmak5aXl6J9Izcbdrsdl0/P2FVpupRSrZIt9SWu5SfGwDBMiBhiXGjzxN2uZ092Op3O/YUBEHjsYx4LwGazgWXHkhNLjCCi0iJj0KTDZSanQhLR1omyl3K3XijGYMhVerxl1x32GlAJMh8ckpIGpozFiqcUDQiKZK1+RCc7GAjBEpzDiGFZUu0vbJmm4+oQNSrJbj3OakIPUig5kSWBpaoEiNo8HBYhi/ZglJwhaTWnSJOr1YpAawVjqaoBddKwzFDPL6XMbrcAl/He470hRl2Ws/ZaKqXQYq0iaZ0s6vpurWIopTkktW9Hzpll2TGnhLMGO461d7fDOIvUJhM2Z8CQxWil4jDiRk3Cav0nS61ObaoVxjlKsRgKzjv8ZiLutqSYakA5I0XwQYfPWbTq0tuqDCECNdvSG4cbRsTohGm33VZViIQ3auP1XBYQlck/PplAdJLW6XQ6nfuOgFYpSEHSgjWWzThhT06IMWIwazuNJoNurMX76twD5jnuK/nQ3ossM2EcSEn7L/lB5ULjaWKOiyal1jmg9Y4wBCTmNRDWZFedc6r8U6r0upT1wA8Dfq3argXxmuOxBQ9jVgnyIocSo27vN7iistFalVyHfaXIYXBOE4dhmiZAKxkOJWabs/cwkHco1dqciKd3XV4Dos5oQPTk6BhrLbvdbq1eaXKtbRuH0qXGGOZ5xhizytuVeixNnaFdq8NeYIdVkPM8470/dz5Nterk5ISU0lqtYYw+E9t5JuWFIloZ6oMe/+ZoXJ2yxmovcWvc6qA9dG62wGUIYT2/ELoLrtPpdG4Gt9566yrz3SS/m/T6oURos+HW2LUqsan14dBSRpORRE1srcp1RpVxckwkDC7nOkaocqhVndCPA5vjiTCoao6rUqTjONa5rV/tZ1M8cpRaeLKQohb6YA1Ei80WMUKmBeQcKee1P7QxRv3v9byN0T7Qjhqcs+qPz9V/MIWBHBPz2el+/OAcFy9eZDATu92OW7iV7dlWYxa1inOcpnP9j1sSlIgQ50SodtVay7zdUS5fxievvRDrNXfW1T6PGij23mOsWeffqeyTqtp9896TYyQMev3E7gODKcaaMOYI1jHuRk16rkVi0ziym2d2ywwOlph41atexXa34+zsjHd+l3fm4qVL6/gj57yOA6nbbWORQ1t+LXow8sbpI6DrIEXlR1tWoIiwLItmBVy8yDJH7rzzTu68805ccITg2W535+Q+mh40Ula96nGacMERs0rBIAbnApvNMTEWStHqRGM0k3+eF04v30VOmXGaGIZRM/eLOjp98Fp6nCNn2zPibstWtK3QNE1shoAYQ1wWlmVmHPNe1xlby9AjZEOMYI3KxXgfVPfZ6QthTCqN2qRCtYrD1v6SKluS4oI1Ay5ofknJGZGsfaTEQtFBeoqRlCLBO62otL4aEGEII8Mw4P2gfa2M4XSe2e3mKnXCOmFBBGM1e8Qmhw0wBrceozEGYx0GyxBGZAMhDIjJpKJZH8U0CbeCdzWDFc3wCD5gN5b5wgXmedZG9GKJ9X1j/aCyuUlIWdgtCxmhWFd7aFU9u1qlqTIz2sA3xsiyzCAJF5ym2LCfQGp16lAnlVAk0wskOp1O5/5D5VhVkjXnTAaVGMeoTbQWPwwApPoub/0MKFpBZ4omx6yOP5E12USdmJoFWUqBnMEaUjQYG2sVhdfqQMBYSLFQUoKitjT4Ee+0qlKK4BxIUdnSJpjSVAioVZCuZgxK0UxLLIhYilH5FnEWUwo5JnJJyBJ1YpMF7XvUeiFqkM9UG6i1k2C9V4kUVH5OUsIsC9Tx0+oYdA4XQj3W/Wcla1DQWT0v61zdcnVmFm1OT9EKU1OlXEpO6EimJVip3OzgddyDaDWqMVpX2TIsi2q90hKZ0pLIMVJixOSELfqvXvcCTbqtZFICMdqD06IBUkwNEFurFaJWn4mWBZpyWc8x1/si1iLWEtxIGD1iHTllvSedTqfTuc9kKTjcOpfPRZ14zlUnoq1ynqUwTmH9nkheq9qaE9M5Ry5xdcQVigbX2FfetR7IzYnWKjLUj9BqLwxWrPaAqsG31hPKVkkzKYW07J19zQnYfAvr+VXb6p069VKzqdVv0WRK9+cl67nEGKsakdIcky0I186h9Xu+sjdluw7tuNrny7KQUmIYhtUxvCzLeh673U4djFdUDLZlbb9t+4dB0nZPBGGcJuKB5GoLvLZ9t2NpwcdW7XilXG0LsB7KtBpjuHjxIrvdjnmeGcdx3fbhMbZtHAYc27bbuV/pXO2qRp1Op3NzeOhDH8pdd91VexfuK/G99+ckQnPOmKK9B7WHo6x9H1c72WwNonP8qO3NvHXY4AnWEbxnGEbCEPDjgB8CPgTcEJiORq1ctGrP2xigBUNb0o4m4mbIOh+0VueUxcgaGM0lY5OqOGAMBfU3iJ5Q9Snovy2wCgceANFWMKWUdR/eOe2FbfZS5jElvHeEYUCyblMrE2tLNSmEIWBNVf0xBlu0GtFZj/eB4D25FIzVsUNJmZa+XHLGO1VpXHZ7RYScMjOzqlR4tyYot+Cfdw6PwTuP804DriKIAU9Yk5KCVVl9BHZNbYKyVpKmnLlze8q82/H6172OaTNxdHzE5uiIMQzrmKLZ57b/w77YcD4w2QOP940ehLwOOSdiVMeb1JdVe2GNw0jwIzEmLl++izvuuBNrWQenLdths9kQvDrTYoyM48jJyQl+HNhud8S4MC+JowTjsOHk2FAyOBu0vNtZle2KC8V7yAFTCnGeySlhgKOjI7y3eOMhZ5bdjBND9EFLradJJUJFe1PmnCg5UvyEcwZrPUtM5LSw3UVAe09ZV6VJnSNYw5AmYlRN6hQjFktwgfHI4a1nnhftWZVqjyUKpSR9OVoQaRUgUrMFE1ICtr6wtCLArL0jjAEfAuM4seRCEYhLqpJvTahNXaAlRRL1hTWNDN6y5ExOc3XoOoZhwtmBkiMiqfb02JJLptTqD2urEzMnxDi8C/hh4OTiLQzLTEqxlsFrjy5jLKmeW4qRPM/My8x0dKwvd+9ZlrK+3EItTRcRDcTGhOSFwaMOYkErNMqhAfU4n3HF3avy8E6n0+m8ZdRY3ZrFaKRgnMUScOgg1DodE5Sisum2aKP7UgeopmTMEsEIRbShuqkD1lYZj5F1EmJoFYW6TestzoCxDowgOUFzPg6OcQgsy46Ucg3OtUCYjlfQ0JhOIIRaUZkp2dR0G0FqH0hrLUnQfopFexVKSljTel+iPSFrkM2uEqrV/oqhGMPmSGVYdLKklX6aJarZ/y0YCXuHnRGjPaKdo9gazDRGqwqs1crGoj2rjdPEHrGGbKCUhKkKAohO5IxT+VSsxQevcuYCWaxeP9Am97Q+nQVBZeRtjfi24Kdog0l9JurksUmqrsu8TjJL2753YLXnZ5tktWzbVJ3CKuPrwQsb0d7Z0xjYjA7Q4KgLewdzp9PpdN5yWnUgB8E5lQgfNHAXNLlGDPs+kTXjf/1psurOYV3dsDGkHNdg36HTcw14VsemiJBTUrnRmoxSisq9Sa3AbFX5TaEnxcjg9q6aw8BZCGFdt1UkWteSYfbybM2h1yr+gPU4SylM07Q6LA+df7APzrWAYQu4rQ7CGjBsx7BWO1ZH66GT7sr+Su26tKCfqxf1MIm7/XsoE7vaX6PS6SmltZ9nu2+Hwcj2XWvtWhlz2DqnyeQdVpYe7n+3262Vl+1cmzN5dWrXc/DOM0tCW4fLuc/aM3Jl76lOp9Pp3Dce8YhHME0Tt99+O6enpyzLcs4mtfdxKUWThUUgQzHaI1AzeQWbM6kGJds7OpW8zkfHMDAOA8FrdWMYtbezHzQA6bxnOpnWQGOzQ81et/7CANRAZ47LqnrgnPaEztIkvAu2JflYiwWcD3UurAUwe99xWSVnz0m01iRk0/onGsMwqkoPQC6Z7W679lJ2wetPVWQwtTjnsJelBijVtg52PzbIMVIAPwTGUmVjSyELauNDYDNO55KJUslgLZPfaISgBUu9Flg57XGiLVBy0vZpxuBqUNQ7bSnjvQY5Qwtwimjg2FpiTvjBc3m7ZTvveO1rX8vR8TFhGHjUOz3ynOrClUHsJmd/qDrRue/0IOR1KCVr0AmpVQB7R1wII9M04WpT1z958+t1XRGCd1qBWJvS+tpbYlkWnHNM04bx6IhcDGe7mTvvOmUYN1wMFwnDxMVLjku33MowjpRcmHdb5t1lnCk4I1gDaYnEuGXeLiwXd0ybgZwiDssUAtMwqORX0UauYRwxNmCs9lWKaYdxI8Oocqg2eLa7mWVeSDEBZc0i3PehqL0JzaKZDUmrBKxo01ojYIpWFaZlIeeoAUhnMK72tiqCpExaFpa0sCwLR0dHjONmzVDUF3Qh5wStZ0etZiyFWomQNNiJVhZatNfSrhQmU2qlikrmis0qo2tH/OCREljSjmHZkUpB4ryvEMkLoMYoF8F6wUnQUvBxrNJ5iRRn0rKQlh3OqWNXpXC1WlKAYRx0EmSEXHSiZIxRY2AN0YKlkCSTq0NVxCBFc0es9aRUzr0ctcFwp9PpdO4PrFFbFUJgGAZcSngDxpVav6CybgDGq1SLFENp8b+aoY81pFSIOUGOWKuVF9lov0JzMNi1UmrFZO2DYECy10G7CN5qn2IH+Jb0koWSi05esHUs4sD4tb+xsdqjWEzNiLQt61ODkNZpsJA62SkpUnKCXNTmmlrN6VTW1Rhb+2dVGXSRGtik9swyOOcZBnPgPGyORoNIWp1/VusT94E6TWLUikbJOnnJCUqqGZ/ak9F7h3hDShCXHTkKKc0qbx88Iah0TrQWcLXXh2aPmryXumtSuHoqwjwvKqFe71eed+TdlrTsKFEl5IMfV4mecKzZqT54itRordMAJG1CKLI6hW3wWBEGOzCOIwbDNG2Yt1uCtzgLKe0w3mOHHoTsdDqdm8FmmlbHnzUaTNyenuFq5n5e+zRqsNFbu85prXcEIGcN9Klj0qyBNlccMUVS1so76x2SYZhGUlIJ95hTtZWZKRzIjHp3rkKu9aZak00PAoqHQc1WZdmCbC1bXyv8Za1waIGztj512yGEfQBwjaiyfn4ou3ZlYK7JkR0GEA8rAFvVX+vbmBa9bs7sKyWdcyzLoj4DUZuPCDllrN8HgJt61PHx8SqZ1u6Bqhypc/FatGNtQcaUEmdnZ+eCo1dWdh4ubw7Z2++8A3WXNWn8JmWrmcPq41X/g1AYB23H0vwZzZl6KBXbHMqdTqfTue9cunSJk5MTTk5OeNOb3sSb3vQmlkV9zIf2DPbJNiJCqRWGcLV9G5xVxQFv8N4xjRNH44ax2s9DeVUftGAlDGFNWmm9g1syymHSzloVbywuBDTOANMYiFn7Li4pIUuGkjHV92/qelLbkhmPqgcVwR7Mp6Xs900RrDVrhecwDIzGYLxKmi9x0f6W1oCzWiBkwAW/rj+MI6EpQKWEJCiI9mcsWafpUqrSXy3WmibImkxV0j4J9+TomKYseTZvNYmo3keD2l9Txw9jjWWkmCjLTImaRG2oSkQ1+bopHCE63rPWrooQLkZShmnagNOE4WVZeN1rX4uUwsWTCxqrOVBeaGMH6vGcC2Jfg7srEOqFQ3dPD0JeB6mBrVJa5r++xKzRjLpLly4RQmC73cKbWRunqyMssNlsVL7DarZ/G0SHMLDZHDMvGeQOtmcLu+3CybH2K5ymI/2jH0ZyTiy7LXe8WSvwSlrAD9rrCVi2O04NxHnWvgTBM26OODk6UblUa6skqjB4jxh19ulLOCIygCkMo0UIWCvMFHKWes5mzVbY9zkIa5ZIjAvzvGOaagbkkSPlxDwLMc51YC6Mw0YnUGglZkpaTdlkaPSl7Yk1q3EMQbNB8j7LUajHZNU5nHwgp5mco0rYCOQ4s8yGwahTtOSEFME0KT2jLxPnNbA4lKxVmkX7PZSslRUWg6SoQcCQSKOvExaHGA1MIto82BoBJii1ulMy87wlxgVfJ5lSBGrZvK3Sbbn2g3RWpfmoFSdrlof15BK175So7GwY+p9tp9Pp3F+orWFf9VAK3jpqzgvqjKodEo1T2RIRVFk164A7R0xMSK14AKokSiaXgkXlREqR1QYE59QulAIxksKAsdrw3baSxJIoVRXAWEsTF2hyKMZ4rfpztmY9+lXGxTqVkrFOe0yU9RgKlNoHUpoEiUEk6/bXysp9QK0JmOei8qaqGpEpJa6DdGO0R2JMrcKgXp8mb1cnVCKFnFht/DiOlJg0malNoqpGbjYGxOG9xRmVkD09vUszSSk4BpXFo0nae5VHtTrJs2hAcu/YbQrn6tRMORPnHWVZIO6QGCkxsex2LBiGoRCGgcE5nRQZlVx1TqVfU6tgKSAmk40lUCtU6jPV+oNI0fs2eK/PRZqr7Xc42+18p9Pp3AyWJRJCDVxVOzttNjhnV2UfTQgqFDmoIJR9PyBrNQFUA27LXp5rcOfaZBzKbzrnyOwdV6Zm1BeRmpRUKyZFpUp1nmdXp9dh38UWDEwprUHFQ3lPdXapr+FQnrQ5Pw9Vmpra0FKTdA0cbGNfqdjkUQ/b0bRtHAYnW5Vh20dzuh7Km7Zr067t4bU6dA7nuHcYH1YfHB7fWi1pDb7a+7avtr3mUG5B13Y+rbJxs9lgjFkd1ZvNZq3o1FYpeo3HcTwnyWutXftGHlZ8quMyc7QZzjmgrwzQppTOBSU7nU6nc99orc/av9Za3vSmN11Vyd/mmTWNdl/Nzj4ppdmMzWbD5viYcRpUsS8MbMKoc89aMGOs1W0Z9oFJ2+x67dUo+7YoUmqii3cMYcB7xxA81uy3l5L2lN7tdrUlS632s/r5uTBYtSNi0ERk1BbGRb8fY2T0WqHpan/L4L3KrmpUk2EaGNK0jlu2KamqUJWrH8eJabNhnDTBRnY7iEtt1aLJQ1HiWmTjgsdiCNapElGMGNHgpbNOk3DrNRYLMSVtnVLvSavebPcmBG07NxghSyGWTGlSuUbbn0jS4iRK1pZwNbnKWW3VAjDvdhSEEDwmZ3a7HW94wxv4oz/6Ix71qEdx8eJFcl3egq+Higb3Rkb9Srve7fzd070c10GzEoUiBcthP4hcK94K3gfGccBbCzXgZhC8U9m0YfA4q5WQLniV+/KOcdoQdhFrAzlHdWQC4zipvvE46AvHaQn3cbzE7uwyS1zAbLVXoQFjMnHZEqO+QE9OTpjChuPji6tDM2Ywi+A8+OAwpmb/Ga0qzClivCFUXWvnHLvdrKXWxtWekVkrsK0jeLSisQhpicx+i3eeYZgIg2aGgmaOLovUPkgtkKjb8D4gGJzfT05UglSb8gZxIFbl3+qLTRC8NQQ/MGjZAGen6gD1VqrjtJBjJLYXtVh18JHJJlV5PME6ix8Cg4w4K+Rk6/c1YGmsgVJfcpIRO1KKkE2G3KRkazakB18EP0z4XDM6JJLiwjLvqvHQ47fGUGqfkTjvKPUFa92IsUJOKt9HPQbrLaZorzFjrJbhdzqdTuemsc/D03CbVhwaberuNHEkL1nfydUWiWpu0bLhSxFK1t5/OWXKMuOQKn/iKTlRogYRpahsQM4a2DNWJwWlysEU9s5AdaBpULAINZvRqSpBjmQpVanBYsRU6RSVBW0yKmLM2pvBmCq7mtPeLtc+ii2T0lGrLC0gdq3yM87hh6DO2pIx0rJITb2KVd7UNLlWzd4sUvsh5gyScUZlWqjHU+rkTBAonkKVaTnor+SdI6VMmRdK0mpOcsIh2mfSD0zTWIOJiRQz1tegqRFVY/AWYqrHK+p8rZOEYAxLWphPz0i7LU4KwegkMsXqDDW1+sVa5hgxUsCAnbTaNOfCkpJWqZoqG2sKrnicNuHcJ3eJZnQeXzhh3m1JJWKswwXwY+8X1el0OjeDaRpUnrvOMWPUXs7GaDsQ571W4otjXhYK6pSkSoUPQ2De7bDO4qxHRJNpYook0QrIEALzvJwLnDXH51r5aCxpibTOzaWUdTvTNGFKqfPWakOB8WijicSokzOUwjCOxGUfCNWkZZUatd6RdzvSoopFh/KwzXHaAmu73Y56IVZVhkaTKD2sDIF9f8XmnGuByhZwg/OOt+YQbuu37R3KybbqSFOTemp353MBvsP11+tZitrRg0pNAMmZXL9XB2eUrMleh1Wdq0+nbu+wsrQtu+uuu7h48SKbzWY9x3b92rG1bbZeoCEMeGcpxTDPC6VkxnFax03I+QrMTqfT6bzlHLZAa3agSbLO87y+65sf2hhoeqRaILOX/h7Hgc1mYtqMTNPAhQsXdB9WW2lIKVWJr9nwhE1W264ghJpkon5nS5FSg3E1qRYBGcAHnLMEp+MPF7T9lndJ5+1iiLlJn4fqS7AYUxNvatuu0hKUJFclob1PQ0TYzjtC8vjgccXXOT4ajLMWb8CmxLwsa3GQr7Y8hKD9LmvPS4weW6nqSVIyKet8fq0IdQ6KqJKUseQYEPT8rbOY4KoMvmOUDDEihtVea0VlLX6KCXdk8CHoGMlZtvPMkqIqG1iHUycCOaqK0yS11UpL0nIWly1zXDSRuiVGFWHe7XjFK17B0dERJycna9J2qFWtKe77P1tjMNbdo/pC597Tg5DXwdeG6qkUjNPoeSFztr2LN9/uNeBmPZAIAYYBYlwo6YySR0o+ouQBij60Bc1oiEBxnuMLFxiPNmyXrZZCSwYnhGnEh0AWSzGFlAbGo4fg7Ibt7pQlnrHMZ1CrGEyqzjE3UcYN3g2E8RgbArnAsmSwA5hjvNsgxZISeJ8RolYrSGCcJqxxGD/hxsiyXdSZWgqI1yrm4Cg2k3dbdWBmKDGSli1GClYmjHUEZxmHCSOWlBfO5h0pq/PPh8DkAy5pv0i9NoILliwQ48wQHM55Sop457HecHY2Y61jCCPiR2RzAYrj7Owypf6P+sLxTitUci6UApRItg5cUOdoTlw4OiZYx6kI3g37TNOYtNJi9MRZJWpNAusyThtHrY5bg0NEHaTjNCAygpziZUsUw7xsVbbWqOFJ1WEsRZAUcQiDGxiPjrDOkNLCdntZA8MmMnhwOKIFyUIs7h6e2E6n0+ncW2rxuf5HlRZxBt7p1lu4ZRjIuy0ExzYuWD9odX0pGKo8KYW0LFWXwAEeSkKySqG2fobWadAr5YwzjhIzeUmUov0djIPTsy1uGPBhqLKvgrU6MC+l4MNAcZ64RAwePx5Ryo4kEeMH3BAoteIRY2uWYxV4M5BKpETBpHoOogFCZ1uSpgVyjatWebgqpyrWUWrPrLNlxjuH1IoD75za+RQJvtTLWJBS1iCtM+Cc4CkUoz0s8xxrchcYjFpwEXXEisrQx5jwXhORlho4zTHiDEBht1UpF+c8gZHtnMCobLvHQBbEFow3WkhqCm7wGgiWjDOB0BpqSCJJZsmRsiwEb9kMIykDgyY7BWvwBlJaalWpwVrIJSJia6XFKTYEhnGDHyyx7DjbRjZ+QxHt4V0MzDnifGCWwmKEaCE6sDjsOLzV/xY6nU7n7RJbSEUDWZIMPngsVtVoUPUbnetn3GDZLmfkklUKTDxz2qoQgNRkVaO5OaWo7TrdaqWFq/2Ph7CvmiwYrNfKw5JylUDfy3shwhgGbFXrMdbWdiBqD7MIuVZsUAreOYZpJAyBGKMGw4qsSkwbu2GwHkxm2e4owau6QEqaLC3CdrvFGLMGPlsO1mEl5DzP5wJyaz/jWkXZKizneV6dvEdHR1hr2W63q5xZqWoHoNUfWFOviyYB+dpixFpNDI5zPFf1uFZL5tr7qggU7S/lnSfP27W385rk7Cy7ecYbICfOdnq+JycnGiisjulWNQOcC5C2oKiIJo83R3Zb3q5R++/D70kWlln9IwZD8AYRR8kLR5sN0asU3NqQq9PpdDr3iRYoanbwYQ972LlEjybLmnPGG1XFM67Jb1uct2w2G05OTrjllkvccsstTNNIcI5gm6KAq8klmsKaJanyThHiom1TinfYEy34GQZtD9Lm8Kpq0BJ/M9X7UNunaLKvtg6xGBcQmzDW4YcBN4xVVXBknlNNSFabmCWzpMzorSox+oBzgVKokvAzKS/YrK3iiIaIMJlNjXPoOMP5gIghZcF5rQK0LhDChHdDHfSoL7rEQklql/M8k1PCjCMRyFnHBkteNNnHW8aLR4AONYw1LCUz7yIpqGqSFnbFfbsW0QThxUAIDjeosuMYNGDrZ1gQ4rxlVxOLnbM4Y9mmBUmaCObGgZPBM8SIvXyZeVnIJWOC9uDOUrjrzjv5/Vf9PmEceNjDH47xDrGGVO2/yYUcNQHJGlVKxO7HJ208dEjv+Xx9ehDyOlhnMVYlPaQOpFNMROvY7bacXr4L5xzb7an2JbSGKQx4b8kxcnb5MuMwYJwno/0LwjAQxpFxsyEMI0fHJyonJpl5WbhorUp3WatVBgJYRxg2OGMRC+wS8xy1D1LJKs3qdHLk2uDdOmyVH3Xe4sPINB1r0AwBMZSsJc/GQkwZX1QjOgSHswFLIG63mmVhDVKc9sUQQZqz06ous6kSbalk7adRJyulFLDCbneGGPDOqTO1qDiaSIakUqWt30Iu2jfKolUcuSyAVdlS0cpK571KvGZ10i75VCVUBUqKKj1n9Vxs1glcTNqvEQMu2HWCNYRxzYrUSZ3Ws669NYKnxIIaDO2h1SZGoBk1xhq8U5mbkkdSXHDWM4aBmBb9iQshOHXQ1j4S+8mfq5k8jlISsxRKXjRDNwQMhjlHcuoVEp1Op3NTqWqjALnAh3/oh/JOD384hsK8zGudn7649d2fi/ZqKClVadG9DSulYNEKC2/V6ibZS5B57wjWkS20ftNQ7YjXXkOtCXyqQTaaFIgzhHFDth6cYLGYMELwNVPP1gxAtILRmFrp0GyOypI2+xeCZnBKS9ihSoI7QzGWIoZcBER7HumBaoWgEak/2jBeTKl2Wgf3Uqs+BVl7LzZxVw1k1l5KWStLBSHFejFyhJzIksg1ICtSiMuW3bKAaK+JzdGRjtVA7aNVWZrg1OFJ+9cACLEFhq3K6BVRqdy0LJAzwVjsMDB4zzQMhOmIlI7JJa31sgnR7E9X1oBuqY7QMA5V8k/HMsYYxnHQvhzGsaQIyasyhrVEKSxSiCJkLNaB9GSjTqfTuSmoOk2zz5mcDcPgMTigSoblrK02nMP6fb/mlpU/jmOtelDJsjAM2neoSn4eyqO23w/7UKWkbUjGENR2Hsh9XdlnUVD7aEJgyak67vZz1pYktFYPHvR/uuuOO9eKvrUKsci542rbMsaQ5+XctVqrCQ9kU9t3gb2kXf05DFS26sDDHpbrMQKmys215S2IqmMeDqRn98dh18RfDqogC6BjnAsnx6osVCVUS85Yo5J47ficqT0zcyZMAxxUVKp9HtfAaatgbb00mzpUO552zCGEc1K5aw9OyYhEDDDUAKtWRwZSivXYpc/lO51O5ybRgnwtGBlC4OTkhIc85CEA3H777fs+x8WscugqNzowTqomcPHiBW699RYuXryo7bQQnGgAzHu/9l9u9rEt0221Cvd9ks5hz2Zg7aHcbDNAShlrBSsCZLKoQoK1jjCMaoNClUU3aFuxGsykjhdA59yqCuRrH8h932j1ahtKVknwYgwsFlfUH63yq057YJewHvOhikKMURWSmq8kZQ0+wjoG2NWEn8Pz897vey4aTeKyUvfNvgXOEpeDYF8dT2G08rSqPpSyT3CWXChVhrUdq56D9uX09RiciPb/rvZeA9WaGC5iEAxveuObeNWrXsUwjly65RZSzrAsTOOI9w6qyqFt17vGHA/HeI0egLx39CDkdbDOrbrEUlRGwxlHyZl5nrl8+S6888zzDus8w7jBGQhWB8zzHDnb7vBhwPqhBh0vcHLhFo5PLmAw3HLrQ9ienZJz1GrAVQ5EJTidsxTnCMZggsUPBucykCklUYqoTKfTCsEw7BviQm2w7gaGYWIcBwyeXFpfpkSMWgpRnEqJGVPwpmZSTB4nlpIjkiOSMynNpGggJO23CPsfUydyNeCaciQXlUUZhgkftG+ViKnVHEavmdMsiJIhZ6GUhJMdDou1pU7AvF6Llk1iDMMwaeXBfErc1ooPzNpzcpo8wXlSKsSYSUUdmgDWT+eMwmGPizaR2md7OlIpaiRcnZRJAfTlZ6zBoS9M5w0+WLLV7BqVs3WkrC9j9QGXWiCi0mztfqtMm0rVJucoWV9uzfgtS9IgaqfT6XTuM4eDyTom1Z5KcSFTauCxVHmTVA2dqL2OURvGl4JxWiGnEulqG0SKyqwGpyUTkb3kl3dY67FFpVhtGDWZB1Z5tHZ81mlvR4zFBoezjjBMpCVjvPZSdiFgav9h7VvczqsG38Qw1OCmMUYDh0bHFyL5qkoIa8BYraisZZm0wkb9vlZqmnrRSs0UNFYQi0qYpqSSNQfJNrY5Z41WR2ayjiNW2VUoS1H5FApFMpK0N3QyBe8s5EhJC97CNHiOj6aatWmJRSVthnHTdkhxFnE1kcoZctFJqlizl74T7adtZAIRojWYooFGA1W+fdIgaR07uSZ3a1Q2B6On2SZaOlFNDNPENE1INoAj5kyJM2GciDlSYpW7t1aTv5ypk9FOp9Pp3Fd0fuUYhoFcg3KnZ6eYJj9ubJVLVSnv1nOpORKnaWJZlnOBv8O5Ipx3PB0GFg8DduagMuOw2u5c4K4mOwOrBBl236eyOeRKtZnA2s/KGLM68TQB2Kz7aseSmyx6xbMPnB6ex2EVSdt2c0we9nFs1wlYqx/XY7liLn0ogbrZbNYgbtuXMabmTZkafIRS9gFeDSoactbPdPv7c2lz+iYRexgkTSmRSibtdgzjuEqnLsuy+l0Oe4IdbrOd++H5OudW52cLoraeV4dB2XY8LcnZOa1G2e12d/O0djqdTudGOJTZbtKs4zhy6dIlYC/NKkXO2aRhGDg6PuLoaMOFCxcYRw1GtuBk8A6JqvhzaNf2STJ2tQ/t85RSLYTZf9YCc81GtWVFhEL1MZRqo2syc5NOd8HrXLOiUqL63yXX6rxqk3z9KaiP3Rh7znaVmkRtciEtkbikWmwTYNgnJ7drqXZ3HwRcZVJLWa+jq+d+GHtoSUjterS+nM45NifHWpTlPSlEliqJvjPbc+METR7TditAbbOS1qSjZuOvHJN479d72NZdJVUP7LyrCdslWJYUeeMb/oSLFy/qd0PAVTVMDfTquaoypqWU/Xl23jJ6EPI6rIPuuG8qbkOVLyuJed4itQ/DNB6R/aBlwrZWGxhPijoIDuPAZtxw6ZaHcuutD+OhD304ApydnbHbnnJ2ehkRw7JEfIjon1x1PFpLThHv6ktsc6TSalKw86KVjc7Xygl1Gu4H+17lWUPQrAo/kEvBpMiy7Cg7lZudLlxCUiHlqJUEweP9iNuoJGpJ2tfA50D2AWcNu+2WeZ7BJJxPWO9w1iBohcKyaGZiFuHoeMO42eB9YJkjJRtELNO4IYcBMMQUsSZpU940a6aEV83qYaiSbKmVoRu8G9YXinOtlEU0KzRCqobIOXWXStRzFVRODWNIKdZ7pX0bg7fkZKqMawYpVQK2vcTry64kEO3HCeVgAimUuBxk0Nas2TDgnErWlZLXyZT2eXTVGazOVjWO2g9zWRa82ztxD/6j0+l0OveBc0HIijVQcmQcR+bLd0BJHB9NSMpVUk0lQUuOkIsOpGztZWRKbTDfEko8zjskJZVc8V4Dd8aRC4hRCbZhHPHTSMyJZdmBsYRh0oy+Yax2yzBMx3slAbPgBrfaeapkDHZf1tmyDA1acblKjhcNrpWSyWlfCeGQtdKiBRyd08buRTTYZjHq2ywqN5ajStK2KKXKoGfivKyVAhbt62ycQ6ylGDCSNbkpJSTn2iNSZWGMD5iSMTmBFLQ8smDwuJIpkvE4grXk7ZbiF7IYkhhCmfDOko2OMQpOJxoIgsruOKu9sXMqJMk4VCbPVUm9uFuIaSaWhegdY+tzYQBnccbrBMXaVaJXqpwOaH/QmAuZhBitYhnCBMaqLH1R5+lSq1ecs/hR9+GApXQ73+l0OjeDNg/T5BOrCkJm7zQ065zZYqRgqpOqVcvFGPe2swaeDisBD6v+mkRnC8A1h13bf6wtRsSgPYqojr9aJWjF0OrgjdWsfePOOwatVbWkVv3ozN65Rjkf9GxO0yZ7emWwVK5wph06aJvDdH8d99WOh8G6Q6cssAblruzrfPjTZPPaf6/HVc6ve4g9cHbqvUnkLHivAeYWGDwMDDfnabsOyD5Y2ZyXzTk5juO5APJms2E7785dt+bkboHI5lhdnw0p6/E1R+k0Tef6Tjrn1kSzTqfT6dw3WvVj6x3c3rUnJycYY7jzzju56667VM1gyQxDqD8Dx8fHXLx4gQsXLhCC136Q00QIHlcLRdxBcM46py3T6ry+Kf8Nw0AYBow5ryTQ/m3S31fawlzHB+RMLHm1ST4EDWb61stSxyreudVtIeIIXm3TGAaMsZSctWKxqvQ4UxWSQPOSq+0qUlhiXuVgU9R2ZkOTjy9733a7nkn2qgvWGtwwsBkCQz3WliSVUlr7RxtjWOaZZZ61f/XRRHC1Z7bRpOSUEstmJjm39rvOUROHZOsZJa82vPXh9EPAOG0T0wK3pfaSbna5jVk0QagGHuv4znuvcrbWMBwN7JaZP/qjP8KHwDs98pF6vjEipTC4gA9ubdF3aM/b9Wn3tnPv6EHI62BEq9ki2odAispoQJUFSQlC0D8y50A0a8IZ6iRHpV7EWKwLTJtjjo8vcHxywtHJBXJKbI6OuHDpFn1wRfs6+LAQagWecyr/meKCULM5w0iZjjUo57WRrDFufcnkdcBvdXAeAt6HVd5tGAK2VkAsaaGkxNj6QoislRNGDM4FUhbEFA2aVVlUIRNTwkTtKZlKwZWiymftRW0TIJQUickzFqrErMEaS/BBJ4J+oAwTOUXtJ5UzaXvGwoz1KoPT/qw1K6EO7l1c9aVVii1hakZrXGa9h/Vl66xWe4ImkOSsVaQxxrWcepVuqROINgEF8PXll9JyMAkt5LwjpUhKeX02pBQkajVmzhFjqNWqvmqD7yd5OvmhVprkgywZVydUlpRKdSLrPe10Op3O/UMpEMLI6eVTLo4T3glxnquUSSKnRWXJS8HSZFkMpfYWNEZqFXzBWEMWQYpWV1hnKVnf/WK0Ut44p5lNlNUGGGtUtgRLEqFYh+AQFxA3EEvCDgPOeqy3GDGIUbHUIoIIWsdZFWSNFAZncNbRqiGlFISiEyBq5qKRg8mN1GrHant0YbVRKr9qSibFmbTsWM7OiLUqoeS8Zix657BOg7EelT6lFKTsINdAY1RlhVIrKCUMiKh8mtQxwWYz4q0hWc36NFKQtLDbRcRYilH5OmcNcXHYzRHitB+FCw68r/LxOu6QXEi1CtFJYeO9SslaDbqmYYCSNIBa5VxzyTrmcJ4kWvmQRTDW4YLH+sC0mUhF8KWQqYoIAkuM4IsezzDiQiA4j006mdP+kvXquz4873Q6nZuBtXsp0lxbbUybjc4bq7NLRDDOrjYrBFUVWpZlrVprjqZhGJimiWEYuHz58lr51gJUTW6tBfJaYMxai+V8gK/NUZujrG0DdC4/jsOaTNSqGEsuhIOqA8veUSh1myGohBtwLhB4WJ0BUGI652A9dJ7CvhLwyuWH12M/5z8vQdvO5TDw2fZ/5bm2wK7zZv1vY1irFuZ5JqV8UGmp97WUfaCx7b9VrQLnnIXeOfw4EavU6nqd6py/feewYtNV2fbDAPTh/V6Dm416zG3fh0HTEMLqRKWrHXQ6nc5Nob2vG+09PY4j1louXry4Tx6KMyGEtQfkhZMLnJycME0TR0cbTk6Oq/x6Wiv17cG2W1Vks2EhBMZx1H0FD6ZWzzX1gvqubxKlh7ZWk4JzrfyTtX+k815/qiKj1BYvBqM9rFEFPozmvlpr8c4R48ySC6SsNtJZbHbqexDtNa1tUlTatdQkpnX8UGS9juuYweh+DysgofqpreXk+Hgd09grqg+bjV9tYinstjtVEHAahPTeM04TxyeZebcDA/N2R8pJezjeKRQRhiqB3wKbwzAArMtb0vNS/22JSeM4rtcxe7/a3pIzuRSyNUze4a3j8p138frXvY4LJyccbTbVp6P+D++12Ov09HQ/XrkiCNm593Qvx3WQIhg5kCgR1fEvNiGiFXNSBmyrGnSOzTTirSXVzL5dXGpVm8f5ET8MhDCSaqY8xrE5Oq4VFhFTpTy803LiMA6IwC6rFJlzBorqTA9hII4L824mp4Lzof7ohMaV1p+h9YyskjPWMdbeg4VCFiHFxBAK3g8Er9kf1O8iUDIaBDU6+Hd+wNVyZYpOfFLOCDPjMOKdr9V9hZQifgmUIVPI5CVSFs2+kJRx3hGsZwoTFiBF7jq9TFoitohmd1ClWGDNMmlSqGvwNWWMqcdSMzWMdWvzeVtlco0IORWKHEywSlEx1/rCtXYvt6PVkIYUdTIa46zPgwEpmbjsmOetZp4YMGJqjxF11prqnBbJFNGX8JoZilRncQZ0v947pDhKrtKsVUJglentdDqdzs1hjbrpz2Ahbnc4dJC69j/OGSRrJXvJ6ky0WhlZskFf963hfEaKkOJCQshxpkRNSMFabAg4PwDavwDniCnXjEirAS3nwTnmpFUMxXiWLBRbiKDN4uugWER7TqptU2n3IirtJkWDiUtM4PfSasXoGMfVQbkGGwVpCq4irWGiBgRLrXJcIpYCJeNMIaeZHGfImnTUlGCDtXijcq3eGkJNBtLKi4IRHQ+0isi8zKSUiEuEsGjAM9eAbCkUL+RiKWmBqhiQSp1EYDA+MASP1Uwm7YFhVN7NOov1DmMdw6DVDktZyKJBWETW6hdvLNSqFnLR/RWpvZ2jVkI6yy4uxDqJcS4QrGUIaAKXhSEM+DBgrCVLIQqIc0zjRBg3iHF47DrOyCWq7LtBqyo7nU6nc59R6ax9dn5cFqaToX62l0dryjuxzh+bA3McR2DvNIT9HLMtaw66lnnfKiPa/FMdckCtkGvOzea8G8dxdWoOVQYszbPOq+s+VIVH998cfCEE3FqBXxi89ips31kr9Q6mjnJQZWhbH6UrgpCrus9BEBI4J0PagpktkNi22T4HzgUZD7fXpOna+eba5sZbQ87sKy1axYTXgLBe57x3mh5c++Z0PJRVbXPtEAJ+CCy1J1Zbdui8bNWsIYRzPobW26s5VoHVAaq9PtN6bbzz63ba57vdjmmacM6pehQQwnAfn+pOp9PpNA5tVbNjTf76IQ95yPpuP7Nbpmnk5OSYo6MjhlGlO4+OjpimcZ0jO1fbdKUDyXWjY4VhGNhsNiplWm2g85rk67zX4pyUVlvc7OuhXPlaiW9qL5eDtiirza2BQWkV+9XmulIQawAtVLJ1/bjMpDky2Kaw55CslY5Sk5haXACvVZPOB03AredyZVWf/irnAout/7Gp68YYiUtkGIdz9repSEyTtkDb7Xbq27cWayw27JUEDmXli2jrE1vyuWrTFoBMKa12maqm0MYBu92OVIO5ze6WUihJk4ptdfpIKapmZT2SCsE6ZoHLd9zFm970Jk5OTjg6OsJay26ZKTmv8vhXJiz1Csgbpwchr4Oz2rDeotrE+0pIwdt97yfvtRGsDwPHR8ccHW1YlpntdouNAeu8/hEbwzhu2GyO8GFkXjJ+3HDhUuHo6Ijt9hRHjeobgw+B4+NjpAAxgwjjGLBOKHnCW8O8zMy7mdvffDsUYXO04eT4hFyrKp1fGEKpkxGHs4M6VA06wfKaHVGkaI8r67ECkrW/YtEyvpr5VygaxcMap8HUVIjzgoi+BL21kDMpqcybpagjMhXibkFSocSMKYIzIDEzLwsiCSdgsuAKOCxxWTApk0IghYirDr0QWrDV6zFlzexo/T2GYSLkzHa3RXKkZId4j3eaRxKjVn40R7LkxG6b18nKOtGogeGz7RaLTnyWZSbGRaVba2Bz8AbEscxFJXKtxZnWyH7flDhGlXYdx0l7XOUIRnRCZffVtSklStZrTA1O6vutaBC60+l0OjePGoA0AsFZTXYpkJeIE1UNKDXwZau8JlIwRrPzNuPAvN1y+fROgrNM48jZsuP09AxnDUYycVkIPjCO2ht5nDaIHUi5sMQCNlMw2KA9Io33FMD5oFWW1oJzZKqz1HtKzZ4Us5dexdq1z6EVQ7Giw+4DKZO1IsJZoEq7FKFI0oCfFIwdNGBaJUdV+iwh0ioAIO52LPMZlMIUAg69NlK0irGUolUWNZkpLUmrIEmYslByJC0LMSZNwspasSlp0SzFlDVjUwrz9rJKmUphGAJjrWDYLTNZDKSMdQNhzFgKuUTGYWKslYlxWTTzMyatFM2CEZXPRTK7JTM6DWLGXJh3O3KK5CUitUJ1GAeGcSAjTEfHDAIZqdmoDhGdPBlr8U4rHbWvpmCCxfqACwHrPVpH28YIOlEkZ6Agxt3dk9rpdDqdG8A5uwa6jIFpmtYg4CpbCszzTC55TUg57OvovT8X3GvLmgOqBQ4P153nmWVZDir7NMl0SWkNcO52O4wxzNVZl2Ik1gDoOI6aUFSdlcaYVU5tOlAIahKspWhv5mHQFiwqt6bbbT2ltFVI9XaKUOL5YGqTGG3HDZxzoB463do5L8vCUFvTHPZgPOzRuMrFsq/MbNevBQGnaSLHvUxrc9TO87w6Pq90/onIGuRt1Y37e63Oz7b/MA6UecF5vwak2zm3oGPrV9m2f3iPN5vN2kfy8F6P40iMke12S9iEtVLyMGDZ1m/PXEzxfnveO51O508TV/YkBLUR8zzjnOOhD30ox8fHTNPEXf4y3jsuXbrIyckJPmiAq1VChtBsfSF4jx+DJseKsNlsVtvdbGWzUbut2p+NnValhGYfRWS1Yy1xp8nHHlYeTtX2gCbwSLMbNUDonGMIw6p6IEV91d77dc581113MvmBk6MjjGiidBhGwjgRQtCE5zoWasfjrMP5fVXfoTpAk1O966678LWy0BjDvN0RrCoMSC4k4Ozy6TqWsDUlWbLGCZqNTqVwtttyfHyM2cgqpWtqvEEQsIZps1H1IdG+kN57fF2vxQLqjWZzdISgvT+3pzuSrZWfOeOtVkHutrtaXKZf89YRvGcRrTJ1zjMOA/Nuxx/+wauZponbbrttrQKNGNLpKS74NQmp3bfOjdODkNdDNIPSGg3GlVLUEVmsVitYg7Vg0Gx95x3G2fWPI+eMrb0arR/wwasMqjEUUQeU8wPBWyzqWEuzZsx578kCZ6dnDGE4kP+wWiJMQUpmsznm1J0yb7X/kg+BYRpZstbgtYlJqX2a9FjtfnDt9A8+Je1zGJcdDkvwYIxbG8PupUAL1F4azro1p8BI/UiaFFskzlr94YBgDBIjKSZEWlBNarZIpJSIkDUQmrUywTutXJBafYFRHe4hDIRxxLpQey4EXO0PGfzAtJkoItonC/DOa0+rg4mcSDonh3KY1XrY7yOlRIoLedkCgrGG0ft6oglrPT5ogNOhVY7WWA3Q5n1PSGMMwziyxIVSEjHOlEW7VKUc2c1blaKt1SYlqWFp2SJSpfWu7F/W6XQ6nftAe68KWODiyQXe9VGP4q43384jbr2ApAxW1qxEayxY0aQXDBZYdpold+H4BFer5u+6606WZWYcBgav/R3GccIalWhP9X1fjAXvwDmQQjEOrAfnMS5oQMrWfs9G5Vdak/RDh5ytkipYi22ZoAhWBENBstTqwHretWTRGlsV2AUntX9iC2YazTJsCT7WWqz3eAM5JkpekJxxRpOcQh347+LCvNutsnHGqBRscDpG0p7Qmt1Zikq7StGAozWGZbdjt92t19sYQzbCssw4Y7AhYBBSnDWb0llM7dto2ySmJlPlRSXjWw9LNwiIVoIWY7R3JCqbO8eFNEd2p6fkGLEiDONIilEl8a3u21mLGUeV0TUGxJBrtWgqGQsUpw+WtTo2wGq/DduqTowDMSxJpfCt0d4f1kLKfVLT6XQ6N4Oc9/35nHNqU4qsffso6sQLPiBp30vxsALwsMqx2d7mhDxcJjUBuFX6HSb+aAb/+V6RoDJtrTqvBfxaZr8fwrkqROvV1quceuWwD2T1VcSoigigzsxUNCB2zrKYvRSsc251rMUY12rAQ9nYVg3YJFZbkLY5Aw/7Mbb1D+fTsK+0bFK3h8vneSZ4VRpwVRo3pn31YdvvKoOaNEm3ze3bflsi8TAMe6WBnNnudiQRVXE6CDymlDg6Olr9Ni0w3Ko5mlRuew4O99XOTxOutNLxSsnbFpQ9fG66he90Op2bx75yby8TfiiL3qrlL1y8gDWGcRyrtPrItBnX8UGz28aA846jzRFl3FftH0pwtiDjbrdbk1KAc2MDOD9+aAkywzDo9rzXOSuo4Koxa2UjzSed1c7kmIhoNWEu2kMy5YwrjnEYmKaBXQjEeeYMVIUoBI42G0JVW9gtC0tMuk/nGYP2dFRJWPZJSrSkpf2YpUnYG2PwweNqqzE3auHQHbffzm67w3vP5mijcQYgLgspJorUVm61qtNU+dfDKkcfAqPuHIxZ5fC5wt62cYc7CIyO40hwwzlliuZPl6Z6BOpHsE6VlkTP24gGJndl5s477uD222/nwoULPOQhD6nnYVbp+iuldjs3Tg9CXoec8yrRqQP1pJnx3lCKxdqANYIhY5z29NFonOBqo3STE94H/DgxTaNqHS8ziznTDEXnOT46xpuMs4bLZZ+Jt1sS251G7n19oYVhxPmg/alKwgLWzljrEYnkrIEt5zyltAzKTC5anWhNwdRAWXMMGmvwNjPPC3EXsWLXfpAaaGznZjUQJmCsx1mv0iPGYsVgxUDWTMx5e8buTAN33nl8EJVbK+r0tNYjRiscJC9ISUBG4kJZFkzJBB8w1lFq9sRQg5C23g/nvcrXWQtYnB0JYWQIE4LqVc9LxFlf+3nVjArrCD6A2U+OmuE5DEbmnNd9UeVpnbU4r813Y1yIy8w4DmvDW2rGxjAEbNEgdit9F1GxupSNZtvaRC5Re2HttlW2FX0hZn1hqqFrkkGl1uR2Op1O56Yg+38d8NBbb+XdH/d4ZHeqlftEbO3rBzXY5wwWwSIM1hLnmeAHRu/Z7c644/Y7mBd1ZDnvCIParWEccDYQC+zOtohJDJsjxmmiGB3sa1OhgPUDNgSyaNKTaUFGTRaElpiCJgipVLfRzMcWpBQQKSCG4MG2cy1qyJt0ecNS6rjAHlib1k9LeyN653EUJAqSVU5VZVYTqVaLOmeZplGTn6JWHADIMOCso5RIWSJS1N5SNGho0MBhXBaWedYJTpVMW6osuXEGX3tjY4VBDGIdYj04q3LnKWNcJu8WbNbvBOuwTgOliAZLk0CqGZwFoQrpgrcEOzC6wPHRxHa7pZyeIvUxEGPIKSG53Y99hYba8P0POo/Cmv2HWm0KCYMzHjFSg+BSr3rPNup0Op2bgc7tWvWfJsoGWzPrva/2EGKKmmRkrpbbagGww6BZq4I4dHoe9jw8DEC2oJdzdq1+aLb3sIKwBa7a8s1mc5UDM0vWpJp6bK0n5OF8sS3HavCupDomQHtNHu6jnc+hpNihXOxhMLIdXwvOtYqQFsw8lGxrjtZDebz206o/mnSbBvoWTi9HhrHel5rcNAwt4dgdOP8KKUdykjWAeliBuvfb7I9lXhao+2tOzxjjKo/bJHRb0FHP+ep+mM65VWbuMPirTll3bv3VeXvgQG2B8E6n0+ncHA6ThmBv05okdoyRkgubabOq2Y3jyPHxMZuj6ZzEtibi+NW+7dt67e10S2A5TFgqsrfVrdpxTXaCq5JRvPe4IZw7D1ttdzkIYBZJ6/5SjMSUdM66thQpuM3EEALeGS5vz0jLwoXj41V2dhxH5hjBWkJQZcMssvrV60XUisq6bw2E7vs7t/Wc09iAE/DW4n1gCTMlZbZnZ7q+c1gMgw84Z1VtKVfJKaMVksuynAv+Hgb31mtUk7S0bUn1kYjKw7b7s9ls1rHSsonsdju22y1xWVZFJfUztNYzVpPIjSWVQqr3ZxwCKQ/Mlxfe8Po3rGOLWy/doj6cMOh1P1CPaM9e58boQcjrUJL257HeMHhPsYaco74YpKylzBiwTp2NpQ6MQ3CIVWeYdZplMU4DRTJ3Xb4LmfUP/3ijL0BHpqTE6V13ssTIWLWHW/nyMB2x2Wxq9mBapWFjjMSUNbOvDqTnecaP/tzESF+QLehW0PFxgZrIH7whLYVUIvN8pstEsMNUiy+MVkgUQXLBZsGh/ZMStYIjJlKGEiNpXpjPTiklE/zAILZOyECMRVzt0VgEazKqFKP9I8uyw0oLVuoLopWkp1QzEpcFV1ilS42ohB5ZSEkwFhCHpSDFIAZsbesrxuC96mhr8+K9RveyaEXpbrejpIx3BjuO2DGQ4kzOaQ1WNjmXnDLWmYMXZyGVhLEOZyw5Czm3Fyu1p4dORgVLKZmUIntNPa2QMGLIktcqVkgUKdd6VDudTqfzlqKmUOVEY2K5fMaF4EjbHdOkDrFYE3xApU6NZIwUpKiTzztHiZHTy1suXz6rkqsjR5sNFtFkmhjVnlptOm+HiXGzYdgcsZSELRnBYMKIHUacCyCqPmBqFaQxtZpRVNlAB+QOI1ZPovaAFCmt84H+Xsfgh5JuBjA1qabkQiya6WiNAef0fGsvCh281wzNrHKnbR81/sluXjDAca0qKKVosPXsjHme2VbnICUSd6dQdFJIzfJEhLSbKamoVIrTZvHGGEY/MA4DxoiOQ4Bp3GB8IBtDFFhyVRJwBRujZjxSGMxEcE7lUbNWSuYilFQwWX9yqfschlXCpgBzTOTaO3OzmTi+cIxxjm3OxJhYUkRI+BC0z1PWSVJzPopogFP7PKoKg1jIxZDF4EPtjUHNggWsdDnWTqfTuRlM00GVQy4s80zwYR9YbFUGUhjGUWW7r3CIHVbjgVYLtuSaNn88XKfZP9g7R3PWhOVQg58hF1LWxGM/BO391BJVAG/DFVKuHuODSsdut+cCiE1ZIKd8UIUnaxWosefXXQNisj++7Xa7OlhbgLFVG7SAqq9Spodyqo22/qFDsS0/DNhJdSA2ObpG62/pvFn32SRMD6/jIYdSdi3o2Y7/cB1rLeM0koV1/+3Y9y1T4hogXSVVa++pVlFzpdzf4Tk655h3Mzntq1wPA8uHgdjutOx0Op2bw7Xep80mxBi5fPnyWh0/jAMh+NoX8oRbbr3EZjPVQFdcE1DaOz2VjBGLB6x3+77D3uFLUAUbr1XwLYFlu92eC0SufQkPZLkPeyk32XVti7IKFdX5oCYOpajB0ZQTMWs1ocDao7DEtPaMXOaZxMLxNDGGQZUF6zUaQsBOqtK4WxZy2dtDWxOrDvtrGgxDCNxyyy2kGMk18Oqdh5TXPO5pmnjoQx+6Jve0no3eezabDSklTrdbcLVtSRu/gPa3dBaKrfPuRcdAIYCBVPIqYd62Oyc95rEWIHnvQWAYCj7o2GQLRFEJWGpiNjUO0pJ9h+DJUX00HlWsmlLijttvR0Q4OjriaNpwfHTEMAzslvl+eIL/9NGDkNdBy28Fa6l/wI4YNeBoDDhrCN6qDFlQWU5EA2nOgUiuvYL0O9ZqIHCJC5hEGDf4MGB9wOPYbI6YpiPismO32zEat8/KK5kigqSk/ZPqhEAk433g0qVbtLoPDZBZnw9edEFfFmZfQqx/eipPZpzBIPhgSdlqlkWcccZRSm38iqFI1mrQGCFGJOdVXznHxCIFp4mX6sSrwbyZLSwJZx3W1gCbmbFOqxytgxAc1gpWCk60D6cRgbLvJWHr8ccYyQLOF6RmoDgbMCLkBDLrhMsYleHJuazVKCDE2ti+XZ/DCcKVaHajY7ADpRqZ3W6rgUSpMisxYTJVqztgm/MWfQZi0uApgkqxiceJV2d0FpVeS4JKe0sNzGqpuDVopkuOpKzXv9PpdDo3ifra1+58mnxjijD6oP0cMSrTUScMWr1fnUwFYk61KtKo3EguhGHEOqNV8s5qQKsloRjDtJmYjk8IwzHG157RzmtPZmNxw4itSgCOFpAyqzSqHnaTiNXfVJGgSqbXEry9UxNS0WM01uCMrbIvqGpC1mSXUgfqCbRCrwhiq0OxydelTF52pN289lYoJWEQnFdbWqQQc8Sg1QGbzYS12u9KE4eS2sSivSMlF7X3IpSiPZQIA+R9/8rNNGBsk9WJxCUixhBGcONI8J5iNdhnrMdbhxU0yJgKIrH2qi41e1SzQAuCGMMwqDSPE8PiHMt2i6SsEuvOMhjtQ52KkPOCDSN+tLW/o6yVqta6WgWpDmARQ6mVozVjrSaC6n1YMzOtVYkYwNk+PO90Op2bganzPHUsahCwSXHmnDGi87fgPcsyI01tp2bBG2M4PT095zjM6xx8H1g7rB7YbDbrfx9KvB1m0Le5bXOW5qKBv1KPrc1Pz1UHVJt7KAlHtc1CnWPWgGWWvWTr4XHC3mlr6rYOg3Ct4uNQwq5V/7XzubJysjkxD2VM2zU+7Kt4GLA9rBIEqtT9+SqI1WdxUJnatmerqkG7rvM8MwyDVnzUfpyHlanOOjCG2O77QWC0See1KkqowckDqd1Dmm+mrdfukzUWseelZ1vFRttGu86dTqfTue80+3L4nj58v4MmuRwdHTENE5uN/ly6dImLFy8yDIHdbsfZmSbYqEzrtAYQRYSUE4Gwjg3a/g6l11sQ8jAp5lBF4coqP+Nq78Ki38sxIbUlWaiVh5amrJDIKem6MSJa0od1DucsMUUchk3t/TjvdsxV1j1nDRbmlBAMbqgVhqVQalENaFVjyYUi+yCkd369Hmenp5xevlzP22txYSmU2nrk4sWL2sv6IIi5VnxWVcGMrDZYFSeFoYx7m261WAjQViuylz5vNHt7eE3bf1uj47RpmlZJIqk+jNUvUtQHUKxlnI7YWMdSlZnEqOphKYXLl+/ida97HRdPLqiq4xXy+523nO7luA7TOEDJKm9qLc5brBWMaZMHj6vZlJrR50lpoZApUqVXvFYvFClktHeSsdp/yVqNxqeY8MEQhpGTixc5O3Wc3nUXYnZMm6k2iY/Y3XaVXQHIMars2TAybQacM5yeXtbBdk6AwaFVf86rHGiR2muwTYCsUyk1iTjn8b6o1nSMiMvkFMHqgF9yJi/aGynvdir1UjKkRFkWSk4YZ3De4imYEsnzVjMzl4XNdEQIKtEm6IszpwQW0mAZhgAieGdZsqkvjKKyr1Z7RFhra7Axqmqd8zhnGIKnVIdhjgnjVJ4up1z7YO0nRkvKpJrl0iYzreI0Zy3bdtZq4BmgOhiDnTDGazBYVO7VS2s6nBnCwLQZsc4x50TBkHIhplh7izpCGGsljFDEYbKBaIAI1LL6KrdnnSOEgWgMuURihNwkhTqdTqdzU9GMPIuzQly2XDy+hHW1ctF5/bxkchakGErRgFGKc+3boL2Vjo+OyJIJzldJVLBOHXs+TFq9V4S4zJhcwHvspA3pndce0sb6GnS86ggxBqTsswibvGqhOSk1icdWCXCAo2nS9aX1h9R/W5P6fY+q1sspqXJBdazpACKzzDvi9pS87PBSoKj6A5IYpwFjHLtlpsxFxxTW4YaBo+CZ5x2y21FIDOOE5EhOmWzqxKsI42ZgsEETtnYzRlQ1wgWPGO0vjRkoUpiXxBwzR8YxnWywwZFroG+owV0rVQq+OQSXTJGimafGqNxr8ASrCUTOWnwOOmlxiTQv2iPM6cRoXhbO5hk/ZcbNxNHJMc75VcJHnZZtsrS/ezllDTR6daLiBsBBk3I1BopW42gNZqfT6XTuK9bYtXeTs1URJ2WGcWAKk84NMaQUEWdXp+VhkGwcR2BfeddkRlv1Q3NGNmdZk/lsc8+1GoJyzhF5WLXnvWcMgwbKlkWrOFJSe2JUalXQJNXc+irVQGYLji6LVhBoj+KyD/IdBAi9Oe9HsFWaVqf0mqQjuTDHBbvMHMuRVoTkhEBVJDCaCHQQwNtLkDap+L18qzr9ynoNj4+POTs7Y7fbrYHeVf4dg3Oq/qBSqQveD5QsNYGYet2EEPaB4VbB0gK4Oec1oLosCz4EVZSK8VzAuFU8hmFgCGENtvoWeM2FJGlN0rJW+1CXmohtQ1AVrDoGsNauzucW2CylMI6jVnDMs0rDdjqdTuc+cxiAPJQQbz/eecZx4PjoGGu0Kn462jDWQCMH9ttYyzCODNOE94Fp2qw2YZUlbQkqOWtLrZxWdaJSBGu18GgYtNq/SKGkQi77npDNbseyT8hZlkUDkaUg41gThqska/VPq3Bg7XdY+1Y6Z8nWEsaRo+MjNkcTu92W3bxlN88aBBTRIKSxVZXB1tZle/WDcpAcvFZC1uDbNAzMux1SbadDi6yaP6HUnpGbzYZxHHHOsiyR3bxjXmasdQzjSKzjiH1/5X3f5lxUccrYg3GT0eKopQYGYa880IKdbcylbdS0EMjV2EwMgbREirU1wKuS/OoqMfikvbeLEZasSkUtPhBj5E1vehNvvPVNnJycgNknpB/K8B4Guzv3jh6EvA6T30f5w6AvMOzIbrfFhICEQHEqqeaHQbPl3UCOCylrBp4NDj+qk8sOgeH4iOnoBGsnjAFDwXlLmDYqPRZGhD8hC6S8cPnslOBVtzqlhBFh8B5f+1IFb5mC5WgMzDsDWsOALRlwSI5YEsMwUQS8H3RSUzS4F7zXvo8msCxz7fmkzW/TMhMwGCc4Y5D/P3v/tiRJkqznYp+qHdwjMqu7Z9aBkC3ABSi82RThE5AXPLwBtwiFF3xzCElcEdgE1prursqIcDczVV6ouWfUrAFbiGkABBAqUlNT2ZlxTjcz1f///tbRbUdbw/uAMbC+4/sD3+9Y2/AkdIzeHkj7hvav9K3R+gV6YywrOVfchdHiMOLDGVsLa7XG4NFtYmoO9M1s5GYfrJc3EKHvG10DuYZ1soY7NQ46hoiSk2AOw0JFUmoNV2SOYHib2LphcYDat0cMSW0g7hSJBvRAkFypFaQU8rrFQQfHRmdvG6N3zJWSF0peaMNQbxTydJ8GFjbVBcmFtu8wFEmKjIZIB4nFyDwzbJB9JRflwhtCYt9ezclXvepVr/rdSgCNLMHmoCVxeS+sMuj2QFNlKQWXOrMZJJRyRUlkSlLuo/O431CPxqbqwtj7dBeOENKUQioVUqE5tBEb7ZQLWhZcIrMw5YxowiPxmTE6IrHJh4EqJC2MLgjh1LCJYSsSg7cYlBq9xeDrshaWQ8AznL01zEL5GDmOwGwcapIQ95TMvm3gg5IS3jv3+wcfX39FxkDM6VjkZrZBSo2+G5IyjmASWJU+Dxkq4KWE21ScYW2SBsIRaL3TWych8/Yy1/c1DmSzCdvaTq0L17d3ROP2Hdh7Z3808pIiV9GNVOK9td7Y7g8ej3us2SmhOSM5sfsg68KXH/7Aeq2IaqzjCXTJNHFEl4mgGezWqLXyww8/kpeFnCZlwmNt9yR4bvMQNd0gOMOMVFfiQWVsxHuLhpAt5YQkQuk6GuO1O3/Vq171qt+lskauYBI9XQpaMt2M4YH4EgJT/h9yqLk767qe+YFHI3Jd1xheuj9lFsa58ocfvpyxKvf7nW3bSOUzR7L3wKcddkV3Zx+fw6xaKqUWHGEYmNgBPmBdQlR05DCezdGczoGemYMK3Qb0EFOLzszLlAIhLw33MRHnBjrFTAlqjuHgNnasR1P3sq7sIwadgYYXunVQJ2uCucc4mqyYc7t9nK9VNO4i//iH9zc+Pj64fXw7MxpzrZhB7y2EuFnZtw4upFQoZTmHjaXEQPjZeXK8dkfe59GgPEhF1hslycTWC6jS9wdJlDxtprmW6ZhsvF+vZ0O7TzSdIlyXCw+H++PB/niEO0aVy+VyCpoPNOyRG9Z7Px00z9mfr3rVq171qv/4Oq6rEORCF8X64Nsvv/Jxu/H+9sZPX34ILKgbkuHytrJca8SQePSO6+VKWVdKqVwuF9a1InP96L3T90ZTJSUJAe7+mOdko6ggOb6vqER/uDXQyEe87Q+GGff7HUF4f39DcmIMQyWRtTDomMd6Zq1Ff0A1YlncEIyxbfi2kXNivV5jvjAFTqKQlsyPf/MTqLNve6DYVfnTr7+y9T2oSR/feP/hC7lUSq3kUrjfbty+fWPsjVIry/VCXRZUYewP7m5Ugfe18qd//Jlf/9//M+LQHxspJa7XtzAVmdHXCz/9zR9IRen3zq8fX8MZulS+fPmRL1++sG0b3z4+uN1ubLc7j8cjzs0qXK/XT8epwfv1Dcz59vGNvn8Kfd7e32i986c//YneO8uy8vb+JQhQSSiXleXI6URiv1eFmgr7tnH79kGqhVILb+sF2s7mg+u6QAlc7dfbB//3/+f/A8f5u7/7O/7w40/nXvAQFwFnTFut9ezLPOPmX/V9vdocv1E2+dCS5Pywa9JgF8PphBTRuIikuEC4BwJNspBLpU7FxXp5Y71cWdYLl+WKag4FYiokLdS6ICTW6yP4x5vSR/yyXesllIRtx/aOyaCWAtbnAWJMtFo61ZE5xy/C4ZdIKcWgVAs2N+AxqKsgTqCXO007zXpsrA2yNkwUHw57g96gbbgNGA1vDdt3Rtu4eyep4fNxaSIyjxiYbWyPRksFlWi0ms1sRjG8zSyLpCSJ5mjvMRDUEjgYqeFOxUOFgcUhjDGiITlfe53uSV0q27bNsHoNZUQuCBJqTxtnHtZpo5/KFjwcJ6IJycvT67uSSw53aw97PCI8/ME+nP7YKesy1aUAHRtTmYOhTPVqzmRfYm6cI/tr9EDsdmvYmBgbDoxNoHVf9apXvepVv1PJ+T9R7qgYiuM2yCnRu9HGY7oC45BTUiaLs91v54YY67gNeh9Yt5k9ELfuw/HkGB3XBKpIjsGjqlBq7CVAGT3yGQ98XEpyCnQMBxdyuoDrmQPV+5EVLXBkORJ4T++DfTTcOq3ttBYDSEnRkAwEioayMSk5KyVnZKJaRt8Y+46PRhJCpSggrnSfzU7vgVbPhVwLWWON31s4A80NG4FD72Ow1oUEJEkkFawbve14d8hG1hju7Txofaf1iZ9JGjiZlMm50EcgbNrWSDbViSpoToDTHhvfvn2l7TuaEpfrBc2Zsi5ckjJkkhU8mrSaI5trn81MHzZRs7GnyNMJI6RAsKKY+Ok6KbVO+oHFUNMGrXcub18YCL0NhneyFFKahIY08zwnv1/Kq0H5qle96lW/R+1t55j0hUI/ojWeFezmcXY/0GqHCv9wUAJs2/ada+AYqB3K+GO4mHPgy47cyKOZdrlc0JzOxtTtdgvhjUTW8jh+XhOSI5t5f0T+kKoGVWDmFR4o2U/3YQw1Y2H+dISoRLJUyjKFtvsUISdGLbh8uj5PDCnT6SkE+WeiXk9n6CH4DyV1ZELPHGR/cnkKQfRZluV0DBxZk8fr9TzQjeHiFCc73O+P+T7E+f+IV5H5nFoLUdZzrMrhVD32ZMfQ+HjPcy2IC+nEzBvrMhuK49OlCtD74P19jbXdQVI+HSnbIwTLNZfztd9am3SmcFB+fHywLMt3OZrHY5T2ilZ51ate9arfo86M40mwaz1IBABrrVzWlaXWcMYz6To5n2LRiMeIHvkh6MklzrDyZwjzc80dg95CPAthIMHDWJSSkpPGAG/EufvxuMc61hu32w2zzg+a0ByK2WPPEcuqs5aCznW07dELMKC3FvmPAMNIVT9FUXWJzOjrldEaew6iwrBBGz1cmlWpdcFm3Bc9butYnww/ka9BelwoJdCw5hHrUlR4tM52u/Hrz79SSmH8FHQgd2dX5du3bzwO178c3YsQQcvEqR4u1Me+ndEncZ8xuxAnCIwTF7sua5zFawlMvCaGDJImdtvZtgdIuFRVFSX2VapKV8GTIC6QlSILK9GgOeJmYHaD3M99lGrsHf7dv/t3iAjv17fo98zPwjMJg/k6HkKkx+Pxn+oj/199vYaQv1UiSIph0bKsXK5v5FpoNnMDph041JMDs8jws2G4OlkSpS4sdWW9XLlcrizLhaUsrBNNqpKwFjlFPQ3chVpXLpdGScq+b+HgK5FP1XPi3r4xRmetNazQ5jweD9reENHpbIyLTCnlDJ2tS7zlKWVEjNECuaJLMJirJnIyfADd6NvO434ji8RAz4InbftsSBLDur5t9LbR+o5ZJ+cYLEoulMuVtBhiRpDbHLMd9x4BtK2TcwI1Rm9oEsqyQKrY2BnNGSlTAEolIXifyFJVhhttiwuU83kRSUyW9FR9jrlY4E5daiD0euRbNovX7ViIzI0xOn1EzlXkWgWKztLnolVyjqZvzpT1gquyt53hFgHGKnPQLOeBMTKibC5yKV4nMZQVQbAh9O7z/uPzkFMmqYI46fVb+6pXvepVv2MJ8Llu/Hgt1KR8qQv7o2F7QyQx9tgEOx64b5vI73nQ0aT0ETi0tu3omAciiXUv4Wc+gQowB3lMP5+bRdB9SkSDrTPM6GMgksk6Y+rdMO9osuk6OPImB2PE+p5TgpzAZx6WG/vjRt83HtuD1jqikde41CVwsDlNzBiogvUdsRFOwsedvm94H4gb4vGYI09KoWZUV3JVUqlIqqChRg3R03x8CNo7qGJukVMtMvcFkdHgHgcGXQrqShsdvJO0knA0KVvb2UanLsbeGntraMqox22NMfDHHU2J1huP3kkp8/7+zrKumAh1WcmXhX109jGCTODRqB17i4PPvjP6iFwOkXCoDpuPX+nzMKQphslFlVyCYjDm9PnYL6jO5+mG2AgxlXXGAJcEKQ6K7s8411e96lWvetVfW8/DuqNZ+fzvswEl32dLPaNZt207G03HYCvnhGoIiYAz9uPx2OhTjHIMDt0dusQwLGeWZWGpS4hZ5z7iyGA6cqiOv93icR6ux3Vd2fdPRNyZSdXtfG4HPlQQtm0/G5XCxJc9NuqlxrZCAuEe/58zE8nm/Z75V8cgbjZ9Y0Dn5yD2+bmaO4KfToEDaWdm52M5Xs8jZ+kUTM/bOJp7qnri1p4xts/Zmgdi9XStTMfkke05zEg5nVmRx2M6XuPj54/n93z7z5+FY8j4HOkiIow9Xq9SwhF5DKGPIenzZ+xVr3rVq171+9TztdktRCGPxwMzY11X3t7eqHWJ4ZEqy2U91xX4HrF5YFKPtfw5I5h5hrNujNbY9o1t3xCeMhRrOdekAxl6ZBRHvNrO4/GglEJvjWVZJvkItFZKyQhO0ZnPOAUsZ8bwttP2nWRGr5VUMlLnwHIOCZdcaHUlc0SLRR8/5UxelnBQzsgSn8TH4/VrSSEpNvsUojF8tN7YHw/a4xEkAXf2x8bXX35lXRau1yuXy2XGocVjv9/vDLf4mkR/X05iIWfe9O1xP9/LwUC8Yb2jorR9P7Gry7KQawyQz2xoUep8Ldvo7BORD0HBUA8xlCQFj70ROcXt1ELbdsK+FH37hGLz9copsdRKm0PI3js/fvkB4BSpPSPYj33IMwr4VX+5XuOM3yoRSl5YLgvr5cq6Xii1xuGiff8hS27Y6POXOnAka8qsy5VluVJzsKWTHgeWwmW5kjVxswf7ttO2HkMpVy71Da8LvW08Hjda2/GJ+0gpMeZm/LIUWu/s9ztb26aKoJLTQq0rOS/04dg+QDuFcOeNYbS9I8PDubBepksQAjKn3Pwr92+/YhbNw4wEMm17MNoeyDcz/GBhz6GtJ0U0QUqoVxKG9DaVFtDboG2d3jb66Jgo9IGPjlrgX806+2NjmJNSRhG8VqQ3wuQeFwwbgVB1GXN4GFqLPA9AmqY6UvVUVSQJrIu60i1UEZINdQNf2MUZY8fawfkGd8F6C1XMvJCnaYHXlJBSkFJgC2u+m5P0yOBIaIJBKEcOtFw0qBVSRj0G0uKJMJje6KOzbb+G62Za8n2ig171qle96lW/U01lf0mJ/9v/5X9iVWX79o21rpg5fXsgI1R8LuCumCk9KSknMMHdaGPw2Dpt3yk+N7QpI9M6oDEXjKGW+sx0mEO5ERvpdakIoeALl6OhEshSsEDE44y2gccwT0UpeYbAi5NTPJ4jG7lvjdH3QMfcb2z7HlQHqygOHphQSRk4sDZOlsiv3n3E4MyNrJM+YCMcieJoVlJd598LqaygKVDow1EPOoKInGpIpUdmpXs4R9UhF77dfqXkQllWylJY9Y3aK60/wlEJgZN1ZxCkgsvbO5frG6LK7XEPBE4upFwwF8pqrEvlyx/+EJnNbWeIwnDMJfKaU4Zh7I8H2/1xonf2fUc83rNSQn2ZU2LvDWyQLdyPpQZWVVMiLxWZSkwHcq1gkeWVa0Y0E7qiDoPTjSKzCfvnSaCvetWrXvWq/7hKms68J+Ac5sHn0PF5KHk0l7YtXIhHs/JwQp4DuRJ5T+G2G9PNF2vGMfwqpc5hmlJKZmv7qaL/9dev4B5CICO4BR5/H0O2z+EcQDTcIM7RNgw8viYaP2s9spVDWzU7jEQuZpr7CNeZFB0KqTMbSc57Aetxvjf7dFsigqid+yWd+VnHEPRwMcAnJtax8/nKee4NYXCemU2HS7CUwr533LdzrT1u5+3t7WzwHRi0Ugrbdj+HlvCJ5XMPcfbRqLzf79RazwbwgUw7vnfbtrP5fGRBiQj7vp9OzgOrWmvldrudjc5jyFhrxQ0ejwfX6/VsOB9/P78Gx+ftVa961ate9fuVTaPQkQF9vV65Xq+Rz5gzy/VKWepJRQDOdeJYA07xzxTmHOuuazjkzCI/cJ+OS9EQD8XwsZJKRXPFJYXEWTOSCsPBUS5vX7i8fYlBWIphoIqgKeMWdMP98aC3Rm99fs0QYrA2jpzrx2PSjBJpXbHWAUEN6nRZqij40euvaK1c1gtpKdEz70H1i7iZiCGrSz3x6C7Cx+3G7devPL59MPaN7MJoERG35sJ1WXlfr7xdLpCUvC6UWrjvWwwYRViuF95++BLmq0lwSilR14Xadi41xEoHWaDv/bvs5uP98WFhgpJJDjJnyQWWlTY6orF+tz2IgpISmhOpFuR4X1UhZ+o0kmlKoELRiojRzTBKnN9Twnrncb/zp3/4R/7Vv/pX/LN/9s/4+7//e97f37/7vDwLjGqtp4PzVf+0XkPI36iyVmqNIPPr2xuX6zulFsZUyDXbpxowFBECSM6ggRdb1yvX9x+oy4VSV7LkQI9JougxkMyopMCvtUbJGZ0NqVJq2Mdz5k//+A882iMcDtOtt+87S870PmhtIJJYlpWlrlwv76yXN/JaacNPt8FxoBltRF6UefCsc0W1nKGrVgpZhYTjY8QF0D3yLh8PvLcYTprhSigGSsUUJIeCwmyAOc5ASjRDRRKpOVJ2ZN/RGs3MMSQmhDoRLWOj73d6N7qGsiUasZX1oojm6Z5w1CRyNnAa4R7xiZETMimnyG0iwmht4tU8VoNwGeaCKpGLZZ3elN7lbAYqhswwW7FDTQq1LvF+CGjvDIPWB+4tkLcnFoeplHV6PwaJcbBVEVwLqoWkeQ5qW+RQzdd+jH0egsZ/1t+BV73qVa/6b7viunwIVN7WBXpjzQnpg24dL2WGzkcQu5Aim9GDRSYpVIh73k4VoBJOw5ITwwYxQLTJ+gikl811IUkma2RE2+gICTwC6CUlsiSUWPfFfdJWW+QMu6OzGRo5RImcld4NEUfVadbobQuc++i4ddA8UeSdfjgy3WLN1KkMFZCcsJJ5tMhBjjXTJ3VBApdyZCJqmqjTC5oLZrBtO0fOMdpQc5I5wjwMjIF5NDOzKl9y5EhpLnQ8sLQ+kJxwixW5aDAK6rqyXi7UNf48tg0dnZISl/f3EH61HdMUeNm6xIGEyLF63DdIwrpeqLky+oAR782hDD1w9kFnkbNx2giEbbginb0N1Az64PigjKNZqwlzi31fyoEBknjNEJ9/wIRJWXg1KF/1qle96vcox89m0OFwO5wOz3+OodPhtHt2Hxw/A58NsSPC4xhoPv/35zocc6UWdDrxjozJ0SMvcsmRiXgIm4/HU0o5XXpnUxTOAekxRIu1qcxz9sSd6pg4ceG6rvgw2owQyRr5031MNPvErCMhzF3KElg2j7gSm/d9WZanxxPOP/jejalpCoWnGPgZcXo4Qw6X4rIs3+FUc+bp+eTvkLnfuV3m7R7DweM1O+pyuZzvxTG4HGNQlsj6en5/n9/b43X/zJPkHHoe93E4OY/3/nTLqJByRkfnfr+fj/UYjB7P/Xjcr3rVq171qr++9EkMs++fDvSc88x2XE8x0uVyOXGeRx3X6GOg9Oy0d6aRRZgRJ477556BSbrJOfrNy2VlWZZz7T6xo3Be+3POfPnyhbLEoPJY89Sht1gjgnC44+bUMrHmpVJduN3vbPseIunWGPuOritiAE4SoWhQBnuL2LS99RgQzvNoCvVREB/Jp3mHkljWNYRLJaLC9t745euvbF8/8NZYU0ZGRL68v73x9v7O9XKZ+FM/MfB1WSIL0+3MnpQ5OJRJQli3yM3+cn07B5Bt32OP4xGFYh6I2H3fT4R7GeV838yMpEpOC6WuPB4PbjNmTVTJpWAyBdwjZhddg+SktQRifhqMQjocewrJhR1YasVHCNP+9b/+1xOna/zzf/7Pz/f6GJg+Z1S/xEb/4XoNIX+jfvrjH86L2DFIfHu7opp4PDbGPQaQboM2DmvxgmioH9fLG9e3L+Sykkslp0rWQtZoWNqIzKneIkOq90FCGYzIovTKeqnT0Zj5dr8xVMkeQfZjDLYt8J8iSqmFdb1SlxiaLtc3tBR0DLpF09DdGX2cdmFnMFpntMHQgQvI6IEetU4WYWBgHfGBj53RH0gfMZzEEZRcM1orulQ8CQ3De6g3HCcCLhJJM2JKug6WNtgeG32G7I6xxYHHBzZ2bOwz5yoystwgSyVrJpdQcKorVTK5JlycPEIB0SdeL0/nqU2s3eg9rO3WQgHihqjPxSQxNNymkeeYw9UJeGcGAwPJA7V6IGOmHbyUTFkiy7I99rjtJyt//LDH8HZEhudx8AElaSanzBjGozzY9DHRAn1e1IzeX9buV73qVa/6fWqyx8TnAcNpjzvj8OsZpLLy2PeZ2Re4ckuD7gnXQHTWUsj5U0U/mlLy4ZpTbB8MG0jvkSktgolhYuSSyQI2Gm0PB4JqRiTFAHN8ZhS4GWaB8I5xnMzBYSKFrRC3jg2nt43ImRD27RbY9N4iYxlIAlklXJpu2IibS0nnvzs+Ii/R+k7bNx4ft8CrlcJlXQMJD/QxuI8GmiGVUF/mgnvg29w8hp2aSOZ0M0QiayOyGwY1JZZc+Oa/4q3TAbX5Psw8ZB8t3ISq4TisK8tlJS8LLsLWe6BWLxdyXdGUyZooHiIoS4nH3oKi4EIbTk2Zy3ple2zz9f1sAAOBgPdPJF0fA28NSihF08ztMHdaN3KJDCuZGHaIA+5wj8G1QBYnJUCFbgPmodZFSBKzzVe96lWvetVfX23f4+w8G4w55++Ges8DruecxWPQ+HhENuGXL18Azuv6geE6cKPH7RyDtWOIeDj49m0PDPvT4NOnWPXAfh7DteMxnBjXp9s/HtsxdDuGcCIR33GsXSPio6Msbr/kTII4jg4jS0Lm4FLlCHgUGOGWVAR3CXGOGV0jP9kOB+UsgVOgrYeIRgWxpyzJp/Pw4SA9HI3HoPAYxD7jS49m7jF4PQaE+75zuazngPEZEVtKYV3XE3t3uVzCBblt/PTTT4h8YnGPz8PxeI7HGU7McFQe2Z7AvN8LInIiZg9kbs7KH/7wB75+/cq2bSzLwv1+58uXL6SUeDwe3O93+ngJil/1qle96veoY70NDHc7hSW1huNxWRZwThFpnuvy8zr7jGL/cyGRS4hJpxES9VhjUs5o7uQklBq3e7lc5oBT2PftFK0cjvrDgb8sC6UubP3TUS8WQ88DJz7GQIh9xLIsZFG8LHG/txv3fZvn/hBSH2QDsbl+O/R9Z2+d27axWKeakZfIhJyZIVM3q2jO1CQxfCRiZvDP1yWlFIPBiXU6BVaTNLHtG80MKQkZHVXhyNzWGaHm5hRNpEk7qEs4Bo+hcM559uEn7jwnbJINHo/tO1pFPXoQrc3otMxSKtYHm6YzgzqVTDryrzWi7syDgJjnXkPhzOA89MFZlO5Qc4E1KAc///zzuc879gGH2/bYlxwUi/Fa5/+D9RpC/ka9//AD2+NBqWso7ZcL719+JOXM7fbB3h74iGZd/BJbuNxEWdcrX778De9vPwWKS9J0Nq6ABmatNczil/jL23vwjA8HXOvcesNGY1kyKStOqC5ruVDrQtt39r3PoPuFUiq1XLhe3ijrlZRrZFKq0m3EEG5Y5EzunaUU1mWhloqb0fctDiFtp93vqDtJwTHce2BXRwNrzBMMjkcAb0mUteKlYArDBkkEyKDhFEw5k3SGwruSUNbWuX984/btK/a4Y31njI32+MboLcyRSbHReXzcWPIFXFjWmRGVAotaUsL1UIUa3pkButHU9Yml6Xtj1w3NodZwiGYg4Z6cFDogFpw4mCmaBevG3sep1LBtm5lW0xEhgcpd1xXaje1+Py9UAH1vk6NNKFIn5i1UNymwN/OCVWuoNcfY6e24iDn2wrG+6lWvetXvUppK5BYlpXqjKIx9gwR774Bi5mzDcIlh0ZHn61OkklKm+RSVqHBZauBMcqakWOvdI/PYvdPMcM1ILqT1gltm326keg0UW/p034HEOuo2xUp7KC5LolubTUfBrfG4f64Nz43V1iLb0EfDrCMSjbJc0jTyCaKQilJrOCn6aPhuMEJF+fi48bjd2LY7tcRBYVkr63qJPc8QpAEp45IngiYxAM056ATuDBTXRF5WVCP43kVJucYgD5CUA8HujpihOYMPUhLEU7wqGtnM3WEbgXXZ2sZtDyS9p8DVdHdImfpWGKPzbW9x2wKaCz99Wcklsz02HrdbOCCfMqBUFZnOj+ema7PBkjM+m7aaM1kjW9vdSTnhIqy1nk3VvT3CfRKsO8Z0shqCm2KqmIKWEt/zqle96lWv+qur1oVlqf9kwAf8k68d1/8Dp7osSzjoZtPr2dUXbjgj5zQbYsvZIPt0Xk4qEJBzjeGTG6M73QOddrm84X0whkf0x7C51iuqn/f33CQ9hm6RdxhOgrZv3w0sg/wTjbCaPl2aPuagbSr/sVizcI/zpgh77/FY59ldRSbudZBT4jHxpde3t8hl3ndSjriS4U+N3fn6Hu6SwwVyDPWOAWq8PgUzP9fM5ybe0cg90LhH42+MdjZAj/fuyAM7GpBHnuQxNL7f7985TK/Xa7g8L5cYEE6nRSD9wtVQaz0dnCkltm07n9fhzGy9s20PDD/xsY/H4/z+4zVY15X7/fGf8iP/qle96lX/3dQhKIkh0S8IcL1e+TJxmaqBJDV3csnnwOtYI+DTYX8IS2CKfWbslsohSJ2ZxklY+gpEC7iu68R8ByEvXHgJG8affv6FnDN//OMfSbmwz8Fg6wMtNXDqcLrrDyFOKfW8394j8s3cGBYRZOYGJp9u/WPN7Ebfdz4+PnjcdwwYrfH1l8abCGVdeV8qKYczMbKdLYatKdFt0gFUERtc397gb/4W+aFj+47vje12p20bW29cp2P0eE2/fftGWRcebUeApS7cbjdutxu1rlzqwvXtjSTKZb1g02XoHjFqmhLr5cKXH3/A53C5lIJ6DAKfZyUqwugDFfA+wuxEiJcQkBTrf6kFUcX3Hbvf2Sc6/6d6OQe/egiNbo+gOSSNnofvPPqDOsXlrTX+zb/5N3x8fPDP/tk/41/8i3/BH/7wB3744YdzP3J836v+cr2GkL9RmoRSQ6mQcgWUbWuMbjB9CIEjETRFJkPShOaFslwoy8p6fSfnOu3cmSQ5xndTFegm4YArhVoy20NoGpmE2+NGaw9aL+DBm0ZnQLx+KgqT5jhkrQvremFd3yhljcaepjMQNosQyYRyHrywCK5XwHunj463HeuNJIRlWyJ7KSouM916WJxTDs7yoegfQjen22C44yooGdWCubJ3CUxdKqRcuVwyqaxoXuDXX/j27dfIeBw2g2vjdY5sLaG1R1yQzSOvc7mQsjJ6x3WG69oR8SvhKinBfQ4zYwz/6J8WeycxvDNGxx1KWbgA98d9Nm2FJAnByBLIVZ9O1H2PQaTMw5cbkROVEiNpLDRbHEKSCjkpQ4UhwEThQWRC9dYZfce8nyoZ93e27c72gDEi2+RVr3rVq17115cNg6SBwuxhAhh9p5njfSJLRRkSzTfkwIzEYNGGQvHIM1bAoShozXg3dhsIh8Oic79vSE5ocXKONWW0nWGDNZXIVJrrdaDexsSAxn4ka0I0HnfJGZu4EZuufpgr5sywkKnqUxGkFLRkQM5NvqjyeXQQ3CNGioke9fk1n659X1aWuZHfWsf8FkNWkdhZiGIzr0I1AcJwMBwjRQ5DKqcTMS+FRQUxo28b98edUhdqTiQEa3vkYgzDVGNPIEKddkGz+f6lhJhFDkdStBTueycvC5f1gs6mZ3/ckfyJQU+z6dmHM4Z9ZlPlGHKaOzWnyL6Ec9/lxPONvVzQFA43SeRWTiWtOWIT59c7khyRiYuf1lMX8JSxnOmzabu9Di6vetWrXvW71DH8OdwFx4Dweaj1jPd8Rnw9Y7WOM/fz19/e3uZZ8DPzz92/Q7M+uyrUnd7tdOvl2fRqFi4/VY18Yj4HpH/+/5/v5xjSHU0vRrgnRu+nqCbJESwi4Zo4GobuiDttb7Rtj7xqFXKtIX4SxSaqPtYzI6USGUwl3Bz7trG3Rl2Wua7Ha3M4Tn0Yff90phwD1GVZzkHjJ33g87k941KP4eJzpme8Fp8u0uP9OHI6j/zGow4X7GPfvnsP4bMfA5wu1gP7doiInxvU/yHHTGRAy+mqPO73GfN7PI4Xpu1Vr3rVq36fOtaHuB5HfEat9RwImVn0wXM+8x0jvzGd+4NnJ/3zWltKXPsPRI2ZTwIRpJyoy4IK85quUyibYt2c5J82BppyUJV83kYfdBssouSDrOefCPicc3zv3F+01hgpM1rj437n2/0Wwpo5JG1zzX/c74zHPukLG2M3RoRNxzBzDu5ivZpzDDecJwHufEw555hTjMGPP/0YETWPB+MReZuj94gdScpuneExzMwSQiKfBAWn0XvDhuGLkywGk1LqxKgm7v1GmhTCIDpAqZVxvBbEkFEgnmsfcx4Q8Wtj5kzW9UIuhWXSo/qIeYRo4GFLzkFG6gNn8EDBQrTVe8w2bIyZeU04Pudnp9bK29sbj8eDX375ha9fv55D0X/5L//l6bp93l+86i/Xawj5GyUlU5JQ8gIofRi3jzt+YDklGn4ykWhHhlBKiZQrKRVyWcgpsGSR0zCdEcMYMsIeLkJOFcmJpNCbYmPjfouhoOhgvVTWy8rYO0z3ZCmFopllXeMXa1koZSHnSqkVSRnRCFs96F4pzUwG1WnddsQGMnpkM40eqLExEJv5UxwZ9zP7ISljCJLCEULS8ESOcFl0PMJ6x0BTwovhPRp9vRuKsi4X0ipkCUTrul4YvbO3nb7f2Pw0JM4DCKQkuA9a36JBm3fA0AyjVZgLkE31ps4Dl8zDCTYvSOaQRhwWFLRHI9Y8MKu1LqHEZB4cjqZsisfuYmfOxXHBShrYO42OL5IT1GBpt9bwuUCVnLCRsDEbqG6YddyF3hu9x3NKSanlwrJkbrdwbmzbJwboVa961ate9deWHIoSEOgOmmOd8RQZxZ7D7agpfGvK57VeBaw1Bka0n2JgmERi009s8I8/ZgM1cB+RMTn6bNwN3Dt4QfFQ9M3bbz0cmHhgz0WYAqL52Oe65nPTezbrpmApiYIktCglpxMP5wguzr5HtjUqgQNNKXY15lOEo6RcKCvkugQdwY3uRt/i0CM5Y6nGEHIO6EBB08S2awwgNaMpsiBU4nmqCmPf6ePO9mikWsm5sJaC5cjGdIzOPEiIxNBRE+6gpZJKoSSBlMM5mRN9s1CY1kqqhVIyXjKCkOZQ0V3o1j5v99jvpImow5ET3xMZmTbRNx9bYGUcAxkzu1OpSwxCbd6mJA3kLUT+NYOx74G5DRQGlAJ1gVKnYvW1zr/qVa961e9RzwO8ZVl4f3/ndrt9l0X4PMh6zu8bY5DSZ47j81DR3Sdu7ft8wn1vsUeYTc4YPEXjq03s2OFcGBbNzFrrpyvwCVt65CI+uzD/HM96rvsQjnyzIPTw6d7XiVwzEcbhkhRh7OPMUxKBPhwzn/uAeY7uI4REFjEr5oO6rmhStn0HPNyFE0enEvi0MUbgXmcTuPf+HV4WPt2dx/N5/tozkvXE1z41ad0/h4Of0SafA9nj+45B5/Nw8zhLH0jVY5i7rhF/01o73a/H+3A4ao6f//PBZM4Zddh7O4egn1mXnwjgcK+W3+Wz/apXvepV/73Xsxgl1kL5bgjZe6fkTJ3/Pq7Nz6KQY/091gs7e/pyut4/1+IRZ34JDKvOAZ55DByzJphxXR4nSfbe+fZxm9f/Gv99Dr4Akge21A60+FyXzexcY9yMt8uVboZn5bFtdBu4Ct1H9LiPnOpznfVPwe58rZZl/YwXgXMvgoCPIBkq8Toda7k7lKSUdaGkFIM8jGaDvMQ5W8xi6NoabYTgq41xOkNba/DmJIfLusK6kjWxlMqj1sinLAWOXOkpzJbjPe5Bd4g+QDgerQ9MOoNPI1LSICLFTCAGrGPvMIeeicOYJWxtRyyGvcwsURFBco6My5l9uUz37PHZOfYO//AP/3BSFkSEv//7vz/X+wMh/6p/Wq8h5G/Usq4ISpJQ/o/uoD7FEClCW1VYaolfXp95CGYzRNVpLTKNIoPJ45dqTuvdNK4ROYZO4VyIC17OSs1KayBugUnjyt1u9K2RRClL5rpcqMtKyiUafSaYhwpDJ7Jszg5jmo+RU0JKITODfMeAfo9cQzcMY1jH2j7zpUJJEKjQcA8kVQxoQO8xrJQkqBhjRKjs3nYcIedCSpXRQ3Hprnh94MsDu6xE789QGlnHRMCCzdGpTwWHJCXXgkgcDlu/oxuQnMw1nj+hxER1uj30DKHd9x1ESJLJRRmj07dQcaScA0vDgV9NlGy4TbVpa/EuHnkZbsgxeHYPLNvxIo9xHiqfD1LHwfYZNRNZlYHkQQyNKSY5J2rJmIVaUqYX9fHY//N8+F/1qle96r/50ukMiMPG/+pf/h25KIxAgrhmRhbIiaWUucI4Mq//QmDMfXSGdWQKWVQTqV5JKc9s40BxvX95C2FOqGpIOdCqkksMqHqny07OQtISWctExsWh1MuSSZLYH9t09CXSbFT6vH94wrb5wNXoo8FQSI6Jz8GoYy44iogiM89RRLBtxzwci0gilbnGnc28yGFo0yGhJQaDiMYehMDYOMT66I7mGg5Md3JRrDdG76gm1ssba8q0SQ7IOdNHRyVRUolMRcmRN5XCoSpZgoCgAlIoCVLJeEpoLTQ3Hq2TBEouLDP43vsIhWYf0XDNlbR2NGvsEVKKpqvErDcthboumDmtR5709bowXAJJnzOlVvLEvwRCdu4D3WfOp84M8EZ/3Bj7FsKupDAqKj4zRpRkL5fEq171qlf9HnUMuY6snv/Q4PH4cwyQjqERcLr1jsHiOTzzRPcRTUGL/ESV6A+cLoh9A6IZVddlUm6E+/0e66LIdCFkSgkHReRB9UC/u+Eu8w8cwPZwccrp4rfepjh60o0cRo8mZ2P7HPbNWJF4ro5ZDPNEhWGG6mDMfzMHiEbsGWpN4bCcAprIq8owB4zH6zpsgDndol8BcL/fUdVz4PrsCDzQq6rft6aO23x2NT6/Z2bjdEAe79Nxvn52Tx5fr0s9///xXh7//XgMR5M458zHx/3psX2GNY8xvht0igjLpCZ0+3SnPrtanjGxL5PEq171qlf9PnVGj/ROzoVlXr+PdTyu83G20/SZyXz8Ofqzz47KY51Bg4Jz3M+xVuy9w8w6dA0qjjuY6OzB62kYWtf1O9TqIS46BDpjrqnWAoPee49ItJSQKtSSTmHU1hv1svL20w8MM+6PWKO6WwiaVShL0AxG62xjY3gLQXPWmZMZZ/Hh8dr0OTxMIjMLMZE1kQ/RkhmPbWOZmdLiMSDUWinryuV64cuPP8br9ssvfHx8MPZYN81jfbQ+sLbzsA9kOEsulJRJT2KfvTW23k4s7MXn902H5DO5oqREEkVyYc3lJBnlJ5KFjYFMGgTmWOtBlnRhLfVEprtM5NQUduccouKY/dgT3lVY1/V8X/d9Z993fv75Z/71v/7X5yD7f/gf/odzT/Kqv1yvIeRv1OVtJVFIspAkIx5OAhjs+202ymBZwoUXGLPY0PuB7HRQC/VhIjCiZoZ5R11m4Cu0lpCgqOE2gJkz4YpZTNPTHKzBDINNOVCuqcDkTgPRTJwXwaQJ41BQWuQtpExZE9nltHozm2ThgDB8dKz3E/fWWsNGJ6tEoy2tdBu00bEx1Ztx4mGMzmg7/VCIqvK2vJENGIPenLHv3O43eKyBI2Owt43Ht69sH7+GMtGNhIZbIillKVzWcKWaxUBz0Gntgac5hHUPfIwq6inckQLtuKirkrJMm+UIF4M7IomcEuaxkICimsk5lCfMwSc2wvHpgnsMMgXABjacyHWM1ype78iZDPfKZ7ZjSoFt633Qews3ZUrklM8Dzan2NAdiqJzS69f2Va961at+nwrEini4B/5P/8f/AykfQeyKJaET2K8sgvhEsc61AAuCgFuHEUNIMSAFrgVxdG6eQxgpkeVgs7kpcmLcnY77PrUsQk6RWYkHNjzckIF3UdX5NZnoVJ5wcTLXnPn/AffYuDMFPmPY8aNTWKMT6RI5l4FfCzSrEX9gOvqSzkFruCV1DhdTraS6oLlGZuO8PTuapmli4SSTBPq+0XsIsgrCUldyruyqoTj0WOOth0inlErJOhGyR36knoM+0XgOuRRcEmm5BOq2d8zBVcmlhOPBIEliuCA6D155YZXYj4wxaL0hnhg4w0Ptae5nzqVIAeNE2IQAKgaJpdZTXdp7p9OicdsbfbvTHvdJjgDIGA3PmewWIqinZuerXvWqV73qr6sDpfWM0zzqGEYd2YHwiXA9sKl//OMfzzPZd83EtJ7NLwjHYcqfIpJn15+78/HxceYTujuX9RKi1SM7eN/ZH9s5CDuyB/8c7fXcNHXvZ9O09Y5MsXNv4UQYvbPv++wZTFfBJDrY4ES3Hk0IyQXUSRKYN0s+se2BE1eZEShm4cKwzuVywXU6Hm1gBBFCVSJKhk+H45EJ+ewU/My4/Dz7Ho3J5+/7LqtL9RTmHs3jZ+fks9vlcC/mWk4kb+R3fQ5Ej/s8/n3EohyP9bj/w21zPJYD2eoEKv8vuTZTSmdTMr72mkK+6lWvetXvUWaRKdhaY6mV95kFCZzX65zTPDt/iog+xSz2iSI9nHCnkHe63uf92BSY9tFPbKfqIZhR0O/X65QS67rSZnbySdF7cmS6e2BDj6zDJ0S4qlLn8O12u/Hv//Ef+PLDF64/fuFtWci3wvbY+Pr1a2Bb9501F0oJOtHYBqgyto1SF97f3s7bTilwsmkOQgXQEcKoJPFalZwZpZzuxvu2QYvvdQVKwnMiL5WaM8PCXbk9HrG3MEMQsijZYd8bTR58lG/kUijrguE8to1v9w8ebcdVuLy9oTlTVKOfkNO5Loc5qKMlMhrLsoboa3T4s/f9XKtFkBHvXUl5UqKgl8JoQTUUi+ZHTjmGmZpo9Hj8KeL0/vCHP5wY1sOlOsbgH/7hH74jLvzxj398neX/v9RrmvEbdVneyKlS0iUGfShryYyxc79/nTbumI7XWti70W0OzYg/gVqNoWD8ts5N6WiBFJPDiREuQztQK5LIdaW709rOt6833q/X6czUc2A5RmOMHOlELqgotSwIkckUrgMYMvOeLA4WNWeKCL11WhsnplTwiWW1c6M8xoiLbR/oEhe2XAI16n1n2yNHy3v/VHOMBj3+/5CE6TgHuWaN1nbMBv3ja6BQGfS2c3t8cL/fGKPFoSdH/qXmHMqOWqJ5aJEXeeJpejgVx1wcJClCoWET2+ZzQBxNTyTwc3kqWHIK1ErrndEH5gOZF2AXIddyOjyPQbMRuVxCXLBl+jeHjYlWncPZMIx/h9M5XJNmsehITqQcg+Ux3amtxWNpbdCbBY4v1/8yvwyvetWrXvXfWCURxuiUoqgbl/WKpBpO95RQFDFwDD8Gh4RIx0eD0QJZ7lNswmde8+ixrqck1GWlj05re+QbAogjwxhtAH0O9yKjIIZWIBpClZJLuPTccAIdu6wrvTX21hj2iQuDSYs/DjckknsIlaYIyo/JpYJqZDpLCoehuUYjLRU0z3nqSSo9kAqfWYYqEXKvS40c6lwndjWRUqaboU4Me4V5sAEZHSXjSVCzED+Zz0wmwfY99h2A5nA9pin42loLeoImNAeCVVIKLOscQo5UWFIiucVwssYhrt03NMWan0TZuiE+SFJYJiLt/rhjreMSe6a9Nbp/YtlqLbgn3GYjWzhxeIcgK5Szsca3fcceG9Y32v7A2o5IKDZRx4h87mFGmsPfV73qVa961V9fOtc+d1jXC5fLhZ9//iWGcVOEM4bPQVg0A4vHAM0deh/8+3/376NpOK/rh6D4Ph7UZWFZQhT82B601uPafgz1jkRGgetlOclJP3x556effsKG0bad6/UCCL/86U98/fqN2+0jfnIu1xxnf5FP5KtIZEfPBqJoOB3jDHoIYZVa6kSjHjh3ww2sB/JtWQIP11sIq7pN9PwUNSkhmIp8pjIfj5BV2Hrj27f2GQmjaSJfo/k4PBqqWfMp8ql1+bPBoSASw9voVdjZ0DsHwucA8nOgeeQ/Hq7VY4D4/PVjX/Q8zD2GgDJ7I0fT9xhCHw4aCMSem5OIngrzc7NPdNv1egXg9rizt46oRO/AI4fMJMTMJQcK3/pg31+5z6961ate9XvU8zAo58z1eg334xw+5ZwDFf5MMZj1LBaB7wUsMoWzz5mR0aN/ckVO8Uw4L0NsHGuUn/9OSdl3OwXIYwxKzuQyI1ZmXEvvnTH3KnmppLnWlloRPNyOMxYtl3w6+XuPPcejd9q2s2hGk5ItYevCognLyvp25cuPPyIaGdkGoAtKUAV8DJIFgXHkObgVPdfQx7bz8euvWB+8Xy4sE6E63NhHpywL69sbpET+yLRtx3q4Ec2MpgkbN8Cw0el9R0ega3Wuv9++fsM1SErjS8xGTqNOzud7+HjcAVhqZSnRG28j0aeIOouy1iUQub3H7IRYu+sxVO2dktJE0CqaBB8WcwcN0fP8lEQupCqihWVZzs/R4cC93+8hcJrGrX/+L/4F17frf/oP/3+l9RpC/kYt5YewdS/XqaQzUhZsH0gRNJfIN5rZi0stJAsc2pKcRAfbKGlhWVfGcFrrJC2M+53W79RlRTUuQEtdcY8PfV7eqdc/sOw7H99+xfc7vneSh5Ni3z4gJ/LlwuhG0StJw36dVWO45uPTRUciiUejTpScC0USWGMkoVlswr0PrLVowI0Rs7oYaWJqh+UCSQs5J3q7B7qVcI+wD/aPG+5CqQuSYJgy7IL7sZk/hp87ve8M69M62tn2R7gEPBSLYsLwhC6F+uWNZX2DIWgbiDfatjH2xphoOjTQcZ4T5gOG4iljpysklJ+SZGZ2BnrO5TOzop/Oi8DvBRIuk4VQYohPB0c0ZAOVExc2cUFc4308D3xxQYzcx3DVmE3sS05c8yVUOA4+YkgskuNnZMRLngVJZWJfX/WqV73qVX9tmfYYUnVYgeyFevkDqe24D4oq2Yw+dtLYqSXR285oW2DZxWi9BQKccCZajwPGugjZM6oZE+g0hiZcFmAO3cZsaI4ebsIyVXsWjStBSLWQlzozKQduQQ2gx5rde+RKNuukMYdxKYfqsBTyslAk0R97rLkWSkzJOnEssRZ6ygzPIb7JikkHEkgCzWc2Y1KljxjKpcslDkY4KStSErlWUl5AlMFAkThQeBwyAnrugZ3LU3Czb7R9o+8Pakp8ezRG22l9x7xTpFBzCZqACEmVMSzyqHIBd5bpxJRSJp5eWFKiouehzkW5vC8hWuoNSmL9ciEB2nscvEZHtVCyIz0yHUvJoEJrHR8xJVxrpvcxFbQJEceto8NpjyBLDDP2x4O23dg/vqET45uSIupTqabkWqEs9Ek8yHX5L/Qb8apXvepV/23V/mjoomQpMOD29UGWPK/boapPSdGcud0e1LoGThUjpThW3m/fyClNN0VEcmCBBPO+xxnSd2QO+DQJtVRENeJJ9tgnLOuCJqFcFxidn//h3+M4bd/59atSciHnzOV9oT0ij1EkzrZjui+6DVKOM34fxtgb3gciThuPEDWLUGrGh+Aj+hJt2xi9TbfhJBz1wTBnf9y5Xi6UXIIcYGCPnd0PUk+OxlyNhiMJ0pQQJ4y6LJgPxnZnubyxaOHjccOw+PkSzcwDNdc0zsKqih49lLWCE3mMecElEHvGU2PXPYhFHgPjQEw4RjRq63rB3bnfbnM4vJzn+uVynY4YEEmMYTwe+2wmz1iYiYONszrUtZDxwKjPoSiEHKubhdODz2xK1RC3te1ByZkf3t/Yto1t28g5s5RCd2ezV+7zq171qlf9HnWg1ksp1GUJI8okB5aScT2yBhOPfUP7J/3gcNf9Oab9E/udGOYIgTItOTFGh94nISf65CFUHkHBIwQosdZOVOvosWYKJEL8ygBSmmS8RrNwLS6XK6UuEQeSBMvh2vvyx5/48ocvU5Qz2LYbasaaE9kyLAvsO1jHWgOUH//4B67v7/yNO/d9o6yFfXT+9Muf6GPwt/K3/PjTH+hL4dvXB/vWyJcr+/2Gu7FeV3IOiuD9ceMf//EfSar88P7ODz/+RMpL4Ncl0cypb29s7tAabWvUZWXJhdEab2/Ccl3Y9kaqieGdvT1YlpXLWvlxvGNtYAo/Xd+55ErouZxaMy0LpShmEYGz73f2kmBdQuDj0B5BUixJUQnqQiqZVIOE1G3gzTAJKqWQWeuKzb1JyomyLGGomrmfMoBh1JTp4ixTROXuLOsa6dsqPB4P/l//87+ljfhsvH/58l/sd+L/3+s1hPyNUikkLTDzD80HfZu4TQ7rtTG6zV7dVPgnPRtSQlyUQv0gMe13pjWbQI61Rp6uvrcvP1DqAgitGfveyLnSvv1Mf3yw33f6vjNGwxKBB7UBHghXn5tidwvEnAcu7ETFaCJJImk+FYY5FwRobNFUG6HyVA+0a0mZkTK9Bz5GgFJXKAmKIgW2R2L/9sEYd6zHfXsC0jy8SI6shG5se2MMRzRNHOkeF3Tv7PsW6JOJwBN3al0QjZwpROPCgU/8bSBkW2/BfNawwichhqXoPFwWxvQqImGrTrnMxzZ5qSrklCLnqjfG+AyeP/K3jkOQj2dFS5+Hl08LfwTapxMx4x741Wgat898EYmv55Lj8xH2ElIOl2wyI5VCaw+2/c7eXpmQr3rVq171e5TPA8SSE95H4EOHYhQk5dh44/hQtMQBQkZjMCLfYAavj1icQAON7qoE3cxhTES61sCniwHjxHuLx4AsjAUyXRMy8WewXi4zqynQ3+aBFw9XPvN+JagF3knEsA0/1vBo/kkqJBeKhJBp0tjDSZhyiFxcQTIugqbIWswpQYo1Dmw6R9eJGx+gwpIz5BL4WInVW+dzcbET/SYIKk4i3CUQOZfWGwosdUHc+Pa48fH1K21/IObUWnnXyNNEhD73M6VEHrea04dBj4xnMSNfr7hMBD4EimUqOocbYzodU0kh2jLHuzFGECCO7CqIPEmJeXGoWif5QARsdLbtQS6ZZVnIOXKo930/8Tujdy7rZeLq93BV5Bgwe8lYWqCuyHpBc2XbXw3KV73qVa/6PUpI7FsgS4+sv5yiITVmPqIbiEU+sUoCARsxjRsTzxXX+8GYQiOfWUeHS+DIDSyl8PHxjd6XeRa0GAz6kdkc1Xt7yrHKjLbzeNzPrMSDeHTsBmQ67hFoe4vzrkf+oyZFcEY3fEaK2MyE8e7cA1kU1AZzYCAMks61WozRWuDlJ44+Bm4a8ioJEfIY4OrhuJxxMoF1jWypYc52f1ALXJbl0zli4DLjYErhtj0maalDj5+1ZPQ9nCxmFt+fw4XSrcNcc8cTyaGk/DQA/ESgpnkbhzvmIBOt6/r5uZjndfcgMBzZjyfyVSUGx3OYeazpEHuPXAq272z7fqJdy4j71ClsbntDRVmXNX7ewj25Lp+P41WvetWrXvUfX5897hgkHtj1Wmtcq3NGkuJ85gn/uSPycMMf68jpfDSm639mCM9Ikp5DnDvm2Vbk01FpI7IZbbrs922jTwR7Ug1UOUROIW3Sb+Z6J9GXTzmDeLgsa0aToF6x0Wjbzv1+o287WRNLqfjeWWpl1IXR+5ljuKwrZVm4rgtl3/AkiAXx8OuvX0mauNYV7539dsd6D5G0wMWNy2VhWSqXsnCpS+QbTxchOD/++CP37RFqrSQMnDY63263iCspiZRjnV5q5iIXtrZ9inPmunxZVkQ09l8qvH/5wrIsJAm0q831uZTKZb3M1JtJbfSIzAkRd7gsR59ZzzZihjBdq0DQHOcanWTu3/gkSIlMOtT8TEW/JqiNksPoZZpIqtRc0Ksyenx+rDW+fv3Kv/23/5b155//M3z6/+us1xDyN6o9tticJ8Wm+l99zEyhmcs0ucmqaV4wFLTMA0tgzXpraGpoihDUpGH9dQK52XuPLCaPC+b1ekVE2fYeF88k3MeDx9jYH5x41Dx0IkvGufEeY2Y/9EZCEHcGdg7DcooNvR5ZUlPBISkjZoiOedBwbPRAy0r8ommEHoWTUgVLylIKZfnCUgt34Jdvt+n46wxtJK2UEmxlZoaiPyHlRGIwOGZD9kSWjsbog+ywvAdm1npYqpn93jh5RQNWmDkSY8TzSimeTxJKKpQl8iraGHGgnJbuM7hewu59fN3nweVQwrR25DfNnKcRQ8rj3+6f2RWfQ0h7svDbd0PIUN7GIXNY4HdFBKaLcr44gbTLEaTcbZwomFe96lWvetVfWSLkJOxj8EPNPO43Wo/GnGg0ArOEsKjvt7mOzqzEOayysMGjKZPLApIwF1TClfi5tgiuoBINQLcD62o4gkzkaPwdaFRyIuWCEUKWmfCIDejDSfMxxpDS6RYCIswD6zlxaojijElCKGCJMTOR0xweSkq4h3An1lSd5NVArh1rmDEbnuKY20TNFGweHgKpJjNbea6tMh0P7gErwM+cy0bgTq3vJKBtD26320S21cjbQNhbo6qgms4sRpKch4wTLTMGjMRaKi6KueCiE7leZhaHUtcVLOMzx7okoXWfIqFxZogcOSLDOmoyG7Yy9zKBil3yQl0WLpcVUeWxb/QtDj6lBIKtonhv7LtiQ6g1s1wv7O6MVEnrhfLlHakXmj/+i/1KvOpVr3rVf0slEvit4zw3xuB6vfLYHjBiPcspUKGa5wDSxjzPhYO/pDKFNxboLg2yz3G2HhPBdTRB397ezpyqY0BWSjnzBc/hHJ+ZlEl1rpfHYXPSdp6eR0qKuKB1Ql4tmqRuIUJWEngQeD5DnY2sMc4cPcgD7gNRwKN/4e5s+53gzAUtSed6KxLuThFl30a4912nsNoRhPvHnfV6pZYVE52vdTgEjwzNMcbMbc4TXRfvhc3Xx8zCBXq5xOs59pnF5XPAOzOypsNFREgez/cYID6/58fg8Tzn8zkoPr4HPrOjgPO9jH6Co2NQ1/XMczwe5/FYU0pnvmdrjWtdvsuY3LYtGsHTkfmc9fWqV73qVa/66+u49h9rSmttikJD9HJcc/98APm8Nhz/fv4DQSrU8xyfAGfgE4UacSY+LOh7wWmNWDOJNbrtO/s9hmgyZwZl0opAMI1efYiZYgCZ06T0Yah6mFJSCIL6Hre13zdu3z7IKeGXC/PBnrFjIw9EBz//+gvr6Pz99X/B9Xpl6zvF4v7VHdt3vHXScHzvjNZ4dAOJ+JG+N1aNGLfLsoSrcdthRD70sixhOMoJc2fbNn799Vfu2wNFWDycqSmHO/XtemUdC3/6+Wf+9OtXdN/PQemyLJOMECJdM6O78bjfud1ueB/UUvnhxx8YlwuP222Kg3XOYIRt+5lt3854O9eYrcTa3kGEuiyncKht/dwrnHmT01ULsYdpM2JtuJG8BMI+Z7rGfENVuSxrCLMd+t74+U9/4ty8veqf1GsI+Rv12O6UWmZmo51utzECOFxyphblsoTSIuVwQSCZ8qS+gOMCOUD9RK6mXAkzgJA0hoMHuzMORWkODkN1ryrkHEOpYToRn59ItkQGaYE223bcY4jV5/c4Qkl890t2hMvjRpFEKpXUOg9ptD6tyBpqSoYhw6E7bY9GnSUnLcqyXigIj18+2D4ebI8NHGpS6npc8MMWX5bK8MZobeJTQ9RoR8MSgSG4OJiQfGJU3cJWrfPimZSRBO8BWnWL/KxBow8jG1zyimrkQ2jKyAhec5r4lzM09nBJpMJlDcfocVE6OOExMG4zUysywA6Mj8j3Nv5/qrSJ24+cihhgxgWPUw2qqZBSYG17H4ze5uF04m9ECM3rq171qle96vepuKrurVPqBZ9DO9UQfAw4EdnNWrjwJGF0XJSUF3Iu1OVCXhYcpZuTdY0MJ1UkhUKQBH3fOIdzKceWAUFKIpVEqpFxyESkPvp+OgDD+KhIylzWPAUq8Thb69Bnw00z6BwoIjMWI5ChqBCrbTT3RFM8RjmGlYJrDDaVgZgjFviTQ21oExlT8zJFS4aNOYT0hE+ywxg97nMOHgWj+0Bnjian4yBcGzY6H7cPHPjy5QuXtbI/Nu73WygmS6YsC5KF4eApxb4EYUwKRGR5zrxoCSUqevRjY1ibdCJimaIfjwOmi2MSjV9VyDlxuawMG4ytIzMrGjfaGNhUrq6XaFKa2ImtlQRFE4UULpsBQxUZIxSxDWiG1oWUKzkv4d6Y5I1XvepVr3rVX1+uTl5i6HWc6R7tQbce/63kSZ8RttbPvMfIdM6UnOl7CENOYoFEzMm6XKbodlByOOdFhJwKzdrnMicSjgo8SARTiFpzOZ0X56BsDhTPxz9pCcdtJxGGRANAIISzxJJaKfS5Hh5NAieeS+872/2Dtt+BcFiIhKMvpU/BjUhi2x6BUPeMk1EfYIqF7hdXwQezWZtYFsWG0yWcAn10hu1c18uZWxXP/hj6pVOse2Q97vt+DvbcgyJxnL/DwRi9mH4Mg2cf5nmoe+ZGzdf0eM2O1/Zwnf75IPBoQB89m95DICZZ2fdA2NdaZw9ofDf0PBqcx5DxGCo/Dye3bTsHl8/ov1e96lWvetVfX8f1+8gEPoZIhyjkWfjzvCY8922P/358HeLoLjjihxg4vjfXSvYyMZ47NmLNTZqiUzsszuzDsN6x1mNdkiAvOREF1qzTzWePOE/B7JFDGYYlObKccZTEaMZ237h93Km5ULVwWRbu7cbjvgc1yWBvO3/6+sFyv3P98s7bl3eSJkp2fnj/wpIyWRPt9uDj6zf2rx+03kMotCyogbeO5Y73QdHEdVmR4bwtK9dlpa4L0sMs08ag2UBLnuLtMEbply/UUgNJm6LXsSyBUE35M3NTU6bWcEIOM26PO4xOb9F7H3sj/5D58v6Fx/0eA+d9Zx8dehz0w/Xo7G2nj6A1OY7aYO8tCFApcblcWNeVX8ZXrLc4z5dCynO/csSsJQ38+ggxlY5BqfH5qjmTRLDWudQa+zaLz1x7bOztlf38H6rXEPI3KqlSl0qthcCAGGIDxclZqaWwLplaY9ioeeLMNNyOhwLDEMx6NA8lg8FSc2xoU45Mx7m53fcdTXdy7jjC6I1932htP513cQE5BpxyZk06cR999LCCnwHsdqoSw70ZDofRY3jJCJyZTieDp5js28yMtNaxNvBhjL2z3e+IZqwmujjeoZaEDqfWlbqstK2xjxHZj9uGpXAvIBNDlpTWIhsRfDY8FTE5m6EpKVkz+Dy8ORMdG4i14eGAGBNpZyOakH3mYEr6PNzobAYnT7hHc1FyNHYhmqB6IF1SfO++73EQOVWSMSyMg0fgaIC/8DrLd+rYT6fk5+IHx8KogdQZh73z8zbNBwL0ExHDOex81ate9apX/bXlWI/1oKjy9vbGul65ZKUkiVwFG6Fw9GhQjm4Mgz4jkte6RlB6LqRcISXUhZTCFYcKooEOs+keNBPwcNdnDUGN1EoqFUk5MC7iOE7vg3I02UYnibDUNfQ7OhU8HlnImiOfUGcupMgxhHRSKZFZMRuhh0LP3ANULhBimZmTkad4xg0O4vsYMTjVhGgQBxzAQrgTa3PcbiBYFSb1wDGGd/DBGIbCRL85damUJIy+Y6PjvbPUQk46SRLpXMNFhZxrIFRF8Tl4dPmkB+RSSJohhSt1mGDuIUCqcRBqY5Dcw+1YEn67xXuVwnEaKJ3YZziQcqZS56fGp0BronDd2NrM2tSJ/Jl7hsijinxqRUATg8DnSnPe3ipSV7SU6bD93Cu86lWvetWr/rpS0XM4dOBTt207h0XPGM9AooXoKHCoM4O4PTsUOYeZY2wc0SbPt3M4IA+0KhDnxydyUe+f2O11XT8xYHCSelrbzsEd828RobcWxAOELIqg0zOZTlekmU0ygkWTrW2ID0pOSPAVyDlNSk+cx4P0M0iaJ5XHgnpggXnXXEPaFC8VYkLOhZ/+8Ee+fdzOLEWdZ+rW2kkDcPdzbfykNw0czuYxcLpFj5/5HNoFfQLnO1ze0Xw+3uMDpf6c7fV8ln9uRB91DAmP71dVajooRHYi1j8zRNPn4/dPfHtvMeR8Hooew0czO59jezUnX/WqV73qd6ljXT/Wgre3t1PkMiYq/BAhPQ8agX/ytWdnZOBTmef2QLCrBJGo1hq3OQapB+FQpuhXZdIGRWIeoIluDdwwjTgXlxD1bGOjmU3RcERxmc21wyPrOWYQHsTAvXG/3bl93Oh7o6ZYb3KKmUAfsyc+B6KkxHDj/niwXFbKEo/7y/XKtSy0x4OPX37l68+/8Pj6wcAwWwJZah7RMy360TUXfnj/wqUu/PjDD1wvF7Tk+Bl3DGO9LPzt3/0twwaP2w0To1unasUN9t4RAo16uVy4XC68vb1FXF0KETMqtEl2fHx8C7HvspAQNCmGsbfGmPuVb7cP0uMROZwzt/sQBh3RM6nGYxQV9n0/9yXHmuwegrR1XRER7vf7KWo6iA5mRt823O10tJaU6dJRAtNaUgIz+onGf9VfqtcQ8jeqpLAf55TCjj3il/v4ZfcaqFSVowEX6C/xT/dbHx1zOx0PKcWhp9ZCrcF83rY+8a3xoTezsI+nQLfc7x9nCGsMwIScKmutyESzBebkGHjF98hEsSlExtMT8kWG0z3QbWKBU5lp74hDloTkymhO94H3gQ3OPMxaVyQJA+PRdh53ULO42JaFujTG9qD3zuP+QNSwYWgSas4xwDsdB+G6cIug3ZESJCenaUnnODQI63qJwWZ7zKylhngMUG1mWGhSconXVw4czTN6djoeQ94Si0y4IgOPyhD0sM2nQMsdi9GxWLW+nweeGDSOE7OSUsLl85D6jGN9XuxC9aHTyh1N5CibLoyw/oeaMlyTryHkq171qlf9XqWIGPsY/O//t/87/uW//F9yVeGSEkWcsW/0toWjYFIOUhFyLSy2oBJ4s0Fs1ElG1oLkAhJDMM16DiEFQ2f2k7Udcaekqb4v4X40mU0vi+xhTZ9qzrbtrLWwLgtu/bOpx8S7ZAlno+h0ROqTtMUwN/ro7H3HfOA4eVkQV9QVxBBJoMSaxWfewiGGyTlHE1N4wrwXEgmzEEUJjk41qmOoGEKf6DjHxdh+3XjcbvTeKVlIENmQojxGp912aorHf7leqUvBw4bCMaRzgVILhmJzcJhyotQa1PbD0ZoDc4cohgc6NyVm2jdugyFAChSuzwZt84FtG7WUSbeIbOw2Irw+VJNzK61CKTUawbOZ3MdgH52tN/rmrLmiubBe3klJWNZKSpW8rOiyYDnjuXD11xDyVa961at+jzrOhcJnEzLnfOZDHrhQ8xCy5pxYlhCctL1NzGo6NKv0Ptj3I8sxsa6B9jrccarp/PfRTFQV3Asft2/nsNHMTrHr4/Hger1yvV7Pc2V/GlT9uYuj5IL3aDYmApc+3JmR03ifBCezEP7sD0bfEYyUgl6w7ztOINSiL1FR0ciOnH78oBq0+RiCxnNQgBgHZUFoe2RJak4zYmXMbKv8HRHqdHzOM3VrLfBotVJLRSWdzhXVcmZ7PR6PKaQOUVcpJbBnrZ8D4Gc34rPj8BnB+t1j+LPX9tjPpJRY15W6VH759dcpKGKi3OOMv20by7KciN3e+3eO1gM/G/SjiNZ5PB6f/Z0XkvVVr3rVq36XOgaN55n0ye3+PKA8UdvzOv8s7jnWkWcUKzithUBFAJuEw+gNBwVPEyQzBjOuw0HMT4xr1hRZyHMdTKoRcSZzLZOCjY6NWA/dYGOf6+TMhMzpHEJqi8dyvV7DiThdn8eAzdzYtz1yIJeFslQ0T6SoDd5KxWQw9oYzsL3Tbo9AsorgLogZTGPP9niAO49tY/SB9R60oT7Y7g/oHXKsi9kFyYn1svDlyxtJYH9sfLt/RKSJw/6I6LSv375hoic5cvyZC/VYzx/3O5fLhfrlC/USr/1j29jbHgQkM7aZgZlUYTcej0eswb0H9SglEkzzV/QDDipCrZX7/X7e54FlPQaUxyDyWP9tbzTzyKPOmWWSEFpr4cLNee67jtiZV/2leg0hf6PMOvt+n06GGT+oQi2VJBc+xgOzjkghQtwTOQcqzV3O0FXNZf6sU2u4CHJdSCWzpIKwn4pId+N2+wDkVND5GMFSno9rXddQ7yelbzv72JE0M5dUzqxBP1QADjkl6rqw1grmjD6RIcem2SbH+lA38mRVn1QXOS4Q8zG5GakoNa3se4scp487/eOB97AkW+9sZqCdfds51CNug8f9jvmgloxbp023qLmACZ7DXbL3gdx3Lm+fCJOIkIxgXTGLRq5lpCQk53h9c0U13CDuHg4WP4KDHe/zfdVA244xcSsu5BwMt8+hYTmVmHGwkXMQeQwhn+38Ydv/XNzgk1V+fi70E+Gacw0ViUVm5oFh9amCEYlm6ZGJ8apXvepVr/ory/zQqPB3f/d3fPnyI7pvMaByY0gPcYg4ua7k3unbRkpQcqy3v/7yKx+3B5oHJgV1RbqTSua6XMlrnc65gc7hnmrCUwEbiBnmkasoKWF+UEqFlDJ1WT9xYCVFPqN1yly72xiY7YGNKxUXGNYxEstEuwDcb7eJEh+MsdP6TqmVZcnhwLPIg45DiDJ8IGKk6Xx0H7G/mWj13sdU88vM0ZoHvvknMCsa2VQe+RKiiTGiqdt90Gd2h5tQcxzKUJlOj0FzmyKwQfbEsl4QFe7bzr43yCGWkjSHr2keHlXnY4qNW9IEmudbPpuzElmRPjzwdyKQC0kEWsEZJIGsCTQUq47QHVo3PAu97RSmu2JEToi7k2tBRWZeqJByZq0LyVPc5ruc+witC6kuuCqbdawbbv2ffFRf9apXvepV/79XrrEWAWQt58Dqfr+RejSYUCdJxKSIOGNEHEapCSHx+Hjw2SNTVDOqPqM7DLPDJQcQ5JrDKRFDzoH7CDe8w5iq+iRKWdYTK/bz49OhmVLiUoOoMNxoR6MtpRDYikZ+0+1OFmXJhc1HkBhm89PE6e0T6ZbyPG+3cOi3fgvnhRvv7++o6plfmHIipc9exPbYKVoousYi70qWjA3Y7jupJIY7e9tC+DzFuAeW1MzOfcIxiF1n/uMxeOwjGn3btiHpE3Xq43CVxlr8THg6BpVHE/nIBIPP8/fRlC4zG/Q4gwf9YuXj44O3t7dzIHwMpT9zprZzyHg0qZ8b2sfA0+Qz7uZyuXC9XvnHf/xHzIy3tzfcPYhXr+bkq171qlf9LnVk/16vV9Z1PYUo0S//RLEf1/Cj5344JI+1+uh7fxpIxoxJCxdda35e84+1QCQINxx95KTfEQ+YsR1WyonwPtaIPpxGY10vmDmqhZIr27YDIYLaCfqeKiwlUywhkljXawipNGEjzu97N5o5A2EgMHv/qRYM2Padbdt4u1755eef+fj1K/ev37jfbuyPDUVY60Kzwb7tXMbgcX/w7//dv499zL6zLgtLrnz75VfcnHStlGWZkTNKElhr5cv7O0spJ7Vh9E7fO2178PXbt1hzf/gxou1q5bEfQ0UPItFcU1trXK/XoCbVEIfdbjeGh8NSkpK1sD02Pj4+kOYx/M05HKzzM7Ku6xlhEyLl2Jst1zeWduHjcefr7QNXYV1XyrrEnEFASyZ7JfXG7eNGJogNxT/zvnVSkA6EvKoGFv9Vf7FeQ8jfqMCUQZoqyiGQ00ISQ8bOQ5Xend4buVwiyD1FFtOhfDymejLzHGstqObAfBmRPcHnRa33Hs6KqdyrtbIuFdNBm5kVqomlLpSSaSit2+kWlLgGxMByDsWWXEglk1KOjAOPYWrWhGSflNQjt+nAsSU8pTlcDU8l8plt6BY5WqKJkkMRYkvnl1++RcN02+h9p9tAPJyNbez01rjdP3APlWdOaboEx2lb1pwQUzQHytbN2Padb7cPlq8XcsrUnCEX9hZ4OT3wrVmQXMi1IqUgh1pyb3gK7GrSTO8jjCrTNeI8IVsO3vfEp8TCFWHEx5A3JUGbzMNTo3fOg0iECXMeiICJuRnnZ+u4r0NRGqKJcKoIn5i9oL0N8I5bZFK96lWvetWrfo96RrBEYzHluM4zOi4xvBJRkBG5wnkEinSuCcOObMcKKUeuomRcMx1FXOfQS0kzb5I5bHOTkwjgNvMYz4cV2HEfgwSkrPF3cExxN/BwEDqOjSOvMvINS85kmZA2MxSnjz027dbJSShZJmJeCftjuCYwI5VwHCY9UK35zF4UwI59Bn7uPbLGMNCPfEWzKawJjD0eB4wxcXbMxmHOimZFJ0Yu5TyxN3zmSU0HRORJFJJ0bA5EY+iYSTVTl2XmRlachAc3FlOZntFI1Yjb9NNZWVQZvcNo5EXi0DmHgaopcrDMkOyow33fYuDrDi50H+QWCH4XJRdBU2a5XKnVEE8k10lnGNgY7L3jraO9o0vFa7htx9j/E37mX/WqV73qv5+qSzgeH48Ho+1n41BTOl3+h7vhel0j7mMENtxnZuH7+/uJdhuSKcXOs+tzPuAxQDzIRqoaKv5a2fdwFPgYaBJS/Twj9vEpPDmblx5NQ83pzLlyj/W87TtFUrggNbKRe+uM0Wl9p/cN84GdgqPMmNSkbW/sPQRW7nL2HLZtPx0f62VljI7759Aw5YSNjrihWmDSlmzucwRF1Sm1hvgnZ8ajnc1EVZ37EyHNvC4z4/lU+xl/wjm8PH4+XI4EsWAO+9a6nr2T5+bfd+dx9/M9GmNQa+VyuZz313tnXdfz/5+5ofvG5XIJesWfDRyv1yutNe73+/nzb29v/Lq3Mz/y8XiwbRvv7+/cpgjseC5/jgR81ate9apX/cfVs9jk2QV5/PsZtX1c34+fO9amw7H/fHucBpz5x59ixOZg84g9QRRJ8zvl+7+P6I4j57iNjgyhu6FrIpeMSqKUlVIqpdQ5SE30sYUwpjfwgVAx82lccaQmlnVBXViuV9brldY69XKhXi4oRp/3uW0bj2Uj5TSpfo374859e2DTuZ9rCZNOmvSA3rk/HtxuH9Gnd8eLsZmzt0Z5LJELmRKpFi5vV8pSuawrJcWAVDwckQ+/c3/ceTwefHx8UNbLKQ4a7uy3O/fHFkLenLiuK/I3f0stZeZcBknger1+rtVzdjBs0FqiP7bI60yJlEMYdZAXzBzRQMIf+4xzkPz8vs9KOVPm/uLYM17er/NNlfO2c85n1mTKmWEROXO8hq/6p/UaQv5G5TndXpb4ZYgPewS+RlMq8hLGGIhHLkJdFtBMqXXaftOp3kszeyhpovVPt4OIIikFmq2U+O/7HvZwVdZlwXSw58ymShYll8iqzJLY28AmEkXmxl9VUQk2cVmWwInIzCEUJRHsZXFnmGNiIIbPC6WkRLKClY6NHr/AIX3EHJJ//oJpjqZbKp2SV3butKl46NbwEWqMMQathwpjjB7NRlE0RSOxaAoMznpBcjR5PSlD4tD1cbuxXm78cH3nUheKCTqcbhu2W1jcp21ackY1z0MWjB7ANuZQdZihT0gWM2fYmBeoeB1j+HooYyzyKM8h4xwYzgbmkdd5KG3kaVELtQXA52L3jHd9Dt2NHEifTe5wYbTe2bc5nO4vh8SrXvWqV/3epdOxVqb4AwfRwKirGMk7WiqZwJ+JSrgDSyA287KSlwUkIWlBl3ekLBPNGULJpDIPMANIiGfEBuaG2zzITHS4+MwkbHuo+pKQBdx6KAqZ2HQR1GPtCiR44MjVBmIdXGOzYQ0fDWVM56CQs4L1GMAysegxWWO3HbdBz7HXCSJt/tw7SIap5MRDbHS4H12VfjT0JhVgiE+8i03npU2nhQaOVSQGoJ5IJQNGlsjjOjKy0sx7XOTzPmyuyaKfjU5RQSVhhCvSj0PGk9I10C0+HY6OSsFkR1KipHwKpcT8JBCM1jASLg5yiIiUPsLVaS6kvMRrMpuxS4oB5tg69Ghqj5mXHXsIZfc7jA0ZBS858DevetWrXvWqv7okTZd8TviIs/IxNDpcc6rK6I3e2+nMszGd/SKQoJTK5ZLwHhmCgTMdiHxiU3MuM5+wn4OufZ7nVZX36xttj7zIA8s5xiDPweWfN0q7f+YanljT3qm5kEWgCSaB/rbRIsMZA3FUplNjnosveQXgl18i39oNkmZsNMZo9DbOXEhz53JZWZZ60oJ67zBiAFo1IakgpMCopoJIQpLjRvQUiGHcMZQdYwR14JkaNNfkY8C71ss5EN7aJ0pvMNj3I/bkc3h4yet3OYvPQ8zngfAZpdLamdl4YFQP1+nxeI48SZ3ulzwdNqrKbSLkj/P95XI5MWzuTi3lRLUuy8L9fg/yw8TEvjCsr3rVq171+9dxTT7Wj8MdX0o58djP2G34HEKeYtd/UtETVo4euH5nGhLRk6inomjKWG8RHYLEEFJjoOeACWBOn2KfbgbNyK2zLPlziDpJfDkntj32EHsbNGYeMZwCqgKUZUFFWd+vXB7vpL2xvF+5vL9BUr59fPB4PLg/HuQ69x043Y0+Ue6O4yrUdUGtRKRKrZExOZGmOuccKsreHrRvjYsPRusYDjnR953l7UqpNfZPBn3fY64xX/djjxVxaJ+9+2ONlqTh4Lxcua4L3kOqdGZLu4fgeIqZjjxHG4Y053q5sqxr5FLue+yPDuEz6bs+/JnrnPS7vcAhJjqQ68dn6XmoDTA8eFqa9NxrSkpnLM2r/nK9hpC/UYE8na5GERBoYwCNYQ1V5iFiBqGXhXW9IqrkWlkvl/hlzTlU+rMZCX4izgBqnU4Jt2h+mdNbo80Q9N47+3an9R1R57JeeLu+UXKmyUbOD/oYHAHyKj4VAPk7i3BrI1BfmkBSmACYCBF13CXQdE9uipQyTdNEvAVULpmEijMFetZSihyK2ZyEGOqFkjMGiLv1uL2cSEMZI+7n6+3XOIzlzPV6DRXFekWOcF5xioCn2Li3x0bTgmkiC1QJ9eXWt3CsaDQFMcHn8FLN0FLIuYAqw0PdkI5BJYF2bX2QEp9ZWhOtMwUP0Uh+wuSoauRSjk/bvXug3XL6RK0+/zl+/kDMhPs08HlunTF2rDcObahwoHw6bkJrL/Xkq171qlf9nhWNRj3FRWl+NZthI5PUEdsoPuK/ixMCJCGvaxAB6oKmHLkQZUXrNcQwKaEpxDZJJZwEeUAfoB0bA7Ue88cZaJ+UyE8ckdtAmtlMOKNv9H2POWapsb/wcOkdSjwxYTTA+8TGCdZ3lMghdgaGIxaIONHMsVc+Moxb/8BtkEsmacYdUsqQMkkqWQRT4vBhzsgS+w/XUGlOrArHYcyI/GoLsoLmGPAKEdmobiHMmgcBsRzOyqdmJURTMuVMno+1jxAUHYeG1jsujVTCjXo0OUVzDCSnmhWNNE0mvrWb00UhKZYTmBLgAcOT4sPYx04bIcS6vv8Y+VQC27azt0YumVzXOMyhc4idEZwkneGD0XdGa+BOFmG5Luy98RidvnXwxOgvJ+SrXvWqV/0e9e3bryxLnQ645WxQ5qyY9el4D6Hu/X471y8RIWkmSeQp7duOxXzvbHj2ETnKKR2DNGOM/YzUCOfbdP4TWUhHA+sgHh33ddQxeBMR6J3e+xS5zOHdGFRN2DCsNaz1oBwdAz51sjAFUoIzwokn4QR47J37NhCUrE5rxr4PUurnfb+/vePYxMIJb29XLuuFthlJC1kzqSykUkl5oY0OMk7M2ZG/mTgITtG8ndyH87mnFCj3fd/prdO1f+d+hGg87rMfUmulXtazN7LdtxBvzw3M4Uh9zqE89wBPqL3jdT6+f993Sinn2dzMqDmypx6PB+4ePYoUmZW32+1sdh9ZZF+/fiXNI/rtdmNZ4rP28fFx3u/zkPRVr3rVq171+9Tz9fi5T/vscvxzJ+RRn9Q7/W6tQJScgmRz9INnwBbfdWM1nYOnNnvoGo2F2FqkhKvEQFKEVHJkQprxsH2KY8p3mYTPj73WQh85jtOqk8wTJJ5jkJhU0Fqo1wvkRF4XdKlcL5czf3rrjfR4xKBNIC2V+nZljMF+fzAwcq1cagwby7rSbTDEee9fWEoNoc39EQKue2RJGs42aUxunWE9egcpMVrn29evjB5Oy3VZTvR5KeV8bA7T+LWcOZFSBEbDdJzv58ftxq/fvobQ53o593NaMvfHg+qJL9c3lnVl2zfG7Ms7nDTDMtG4e2vs377RbbCs6zlkbK2hOClQi6SSKXgMlQ+35Nw/3B8PeovB81/686q/XK8h5G/U4Sh0N1pz+thiWDgPEaqKlkJJhXW9sK4rS10Y+HkBzDnHhUlDLQGHNftQ64eTkIkqq7nEQEziCrPvO4/bndvH18CvlMLb+xvv17dAtdwfn4gQ4xM5YkaZG/xDLWETL8McJuaJe2MqEcyidWYO5oA73ULhPyLi8VRVpomcFc2IFjTNYaaDeyDZcs7htCTcfvG8Y7hrluiTndxnQ+44DJRayTkauiaQaigL2r7Hc348SMNYNCHDEPMJhflUkSow5ZJxoJkZm+E4jaHmsxIivn26HWbm5VEifrpeDrWmW/zMnx8qPhngzOFh42CCu38ucofS0olGs48eGZpuDGtnNqT7fE+7YQN6e/GlX/WqV73q96mwPM703pOdIklIUsAMSwMVx4eRrc8zxbEP8HAHpoykTEQheyDKRBASrvkcuAHUVALvkjvSOqO3CKU3i0ciMaxsjEC/jIGPQbfIlbS+MVoLzKsIc5Q2F+2ZM4gjPhj7oPuOqoQLUgXBaPuD4YaqzwNNPFY8fs6tY70hYhNgGq4JI1CiPiLzatt2xjBUFOsbzTrDBqQSKRYehy+d+4uQ1YTjslZIzFOdNbBoXH7Gbj3lUs+mZWttOhdnXvNxYJvNzSOQ8mh0HqdGdzlx8z4PEtPsGrcNDCfeK+SUAJFgeCNJ7EHQjGZIMBuSse6LPNC0U2pBc4lcKxUgzTgRI2sMl00CwWOt0y1ynk1ixIxEPneWl9joVa961at+j3p7i+ykPgd67nFGv91u3+UR1loZKaHquB9SpBCu9L2TU6GUjLgwRmffW2A8yyfq81kh/4xjjUHVpBHoEZ8i59DveTD23ARdliUe+9NtpzmAHK1hx/ORwMENbbhMusLh/ifWufvjwfZofPu4sbdwX7oZSTOlLKRUSElZloJZ5DHmnFkvSzzGPigpYz1iXUrKDPPA3OJgglYllTT7HUbvn5jaM7cxKX1mZgFnUzDWaj/zvA5HAjBfoyOP+pM89HyGf3Y9/jmG9XQtzPd7WRbWdY09xROq7+hDmBnqylIrbYzT+XrkSG7bdjocj4Gxu9MeMRTdto1t21jX9TsC0ufn43WWf9WrXvWq36PyNN0c6+bRfwe+owgcCM/Dzf68LjyvGyeiU3ySgI7rtaMSPX2fwmWZA0gk6EUHJc9EPnvRKQhFcS6UoAfozI4cRFbh7CML4TocY5y3VevCsMCtp5yC0keOM25S2hhxrhTQpZAFpCQkB9FxvVxYHg/a/RbkHjeWUlkuK8w+dLeBtRASXa5Xrm9vSElhclKh9RazB3PaFkNDSRI9iiTQI8Kk742xN6wHTtY9+h7kcg4xj/VWVNm2jdvtRl1XSq1cZismYtYSe9+nKzSfWcyttc8czznrOAaXhRhk5pzZZw8+9nx5DnQruZQQMe0bew9x9oFpPwROz9nSzwPtfZIzXICuaNvD4Xo4X3nC8f6n/uD/V1yvIeRvVMmVnKbywAbWBykLY0jg0iQGcbVU1vXKssQU3VoPRf/R0ETOvIR05BOdwzol5RwOSXOWZWHfNsac+gvyGWCvERi/rBc0xaR+7z3Qp6NFA22MwHf2RsWjSTkvikd2UwTmGoZMc/nMfEQxD8axRUgh295oozGsTwytUErGJbIjc8pYzgwg10xdK+VS8FGQAa07WKeQaTZmxoTNwZ6RSzpzlw6VpEyErE7nYr2spKJsjzt93+lb43EwnxGSRP4VEi4WPbFsiTHdJceFPKXI0NgZ54FHHJIqTgxs3exExgBnZlcoZmOQ21qnN8MMVBJa0syQCkzrZ9N0Z4wIFNaJzIHPw9KwwXDDLBaAMYLdfXC3U1bw48LmuDVe9apXvepVv1fJdLnncBu6AzE0TNkQm6Mrz1gqgfHG5tpupDSzoCVFBhMaDjyfOG9VtOQ4fLijOaHuYBmkAYpIxmd2InP9ShLo1tgbGOYdaPjokeOoE19qnPkQ7qG01JxJInEw6W2iTyeKvA/u9zsuTl2mAEoVcWPSxfHRGds91JY4LrHxN1FqWWm2se+hItSUqXXmR43IdtY8Ih9TlaQzH5uJR5UU2Rcq4X40iz0JM2vSIycbYugpUyzVzYBGsqA5DPfIY5iTx0CpFFKupFrRVGemp54uU5g5XvHm4WLn/QWO5VN4hhhopvdGUgkM7dyXBHa2zHUctBnJnZRrCMzscG4G3nZ0C3frFKPZ6NxuH2zbxq+//kJ9u5DWyIRMFkPsV73qVa961V9fJVfWdeXb16+B+lqWQG2LsKwrSTXWxCkwnVqW0LD4ABeWpRLXc4voZHc0gXmfDUon54RqOZtYOSdaa9Fgq9EYQxxJ+pkvOfyk7yRV8pOjb4yg5URGlLPvjdE6iFFyZbgyXEKUQ2fQSamiFq77PgzziA9JqQKGL4nLW+xTMGH7uLGuK6UkUgL3hnnExESjY66drrFWtsHoznJVLpeVfTht307cORxn1Vif81Rfn0NWlVModAwIP52pGRt+Nogl8Ym9m6Jts4GNOTTOFdTPc3dKiSSBqvNDKJ409g9j4Ga8v7/z8fERn4N5n0dj836/nw1rVQWHve0sl0sIqcag7Ts5BSUrYnMiuseB/tQYvV6v8VrMfsrRFIVwXT627T/Tp/9Vr3rVq/7brgNjCp/ilJTS6Sw8/vsYEx3aB67zHD8dbc8ORDgEQYqbYBbYzRgQBjkpBDWTaqjpqf/L+fNnG1lliomi436YnDCl5hDmyoFkn2jPU9REZCb2UbHhc/A5+wRz72AyMbMSBipzPwejolBLZlkq9+nqByWVQumGdSOViqaMjzDMHI7ELrEfKusCLVEvF0ZrjIP3M3sVWZQOWB8nyTGXQnNY6sL7T+9xtjZjXRaGObf7xm17sD0e0/24UHJm5MzeAt2aa2UzIsNalTzpRbkUUg5krEsYu0pdWNYrmgZSCp6CbCQ5oZYjW3sOq9P8rMQcZZApZDiplUeG+LFPeKYt9EkxjDeW6Nkk/TQkzWHlsa971V+u1xDyN2rNFzKZ9thp/Y6oM1pYjeMisgT2tCzxJ1dyWRCt012QKWkJFb4rdIWhLOuKaSgNzTo2JhbGw/EmEmg3N6dpBxJJMzllSl6mM3Fj9E5j0MVpPhBJgV5RGEW5e2zWaw51vpuT6EySXByCese6U9OKGfTh7H3Q9x1vbbonB+LOmhNlNjJ3C+WlYFxqYr0WYOP+IchNkKGknuCh+A731mjtyNDoHPqAnAU3xdyiEYiw7Q3znbe3hcvbG5f3NyQJmgv3jw/MFfpgTMejqIbqQ6YzU3I0TQVMUyBjJbF3o8hAcgTlKgf6LoXzJSUej0eg7Qj0brhKO5JCEYMTrlBPiBZqjUMRYtHrlPBV9LYHPM80HCnW2acaM+dM0sm1nhlZmjNlOkltHzG8dZ/NTAWFlBvSXpmQr3rVq171+1SsIf/r//F/w//0f/6/sg8hSaV5TOM0F+hOHw1SpvUEkslY5ECIc1kWTJQhSikZckFT4Mo0QU6BL/cUbruWiFxmTxMBm/EeWNTI/PVAt0pgSDRlRu+MfUDvJHG0ZFozoIdSc1IAhnk4OEejj45qoibhY9u53yNngRT51ankOeIDFShqCB45zr3h9wckwVpj6xuChErQjawZ8xHo1GMzP6Lp6LIjNkjVSVogCWMO/iQXsmfUjZIW1Af7dj8dG3vv9BFoWpmNvXBTFtYSa2bvgzbu4SNImeuXL6T1gtQVywWpK3l9x1ONAeDokRPhfWZg2mxiHiz0ThLQFFmdpS6oKo99YMMZRdhTNBpTWRELDM7eB9b26WhJ5OWCudO2Rl3K6diIQyU0V7atc//2wX67gRulxmtXS5lD7EzR9XR6vOpVr3rVq/66un29cft2w93IKbHfNmoNgclH28maKCkhQGsx8LLpiis5sy6XGZsR2UjdOs6gLhUbn/jQUo4m6KDWPEk4Ss6K++B+/8b7D18QCza5Wj6FSqP3aBr+WYZQ1jKxqdE03O3B/niw9TZJCbGLKeuVt1r49dsH5Vrx/YFjlBxCX+kN843WN1ISvny5gBtf1sQYnZwLl2sFNbZ94/p2YVg0MlO6MDzNNd/o7cHXjw90qZRlRdXpGCnlE1WXSw1hzhMCtfcg/jDXt1MYPNdIBLRoIJMmhSFNR0pvgW4jZ/a94d2PYGc053AutHBQas5sjw0bPegEKtiIxzfGYFmWs8F7ZnDNweHhVNz3nX3fWZaF7Xan1hLn9mHsjy0+F7UyhrFvO0mV67py+7h9lxt13N62feaA5pzR9hIUv+pVr3rV71HPmY7H8PHI6gXOoZAidHmwY3QbiA/EldF3bKRzrd62LcS7KbHUgpREIqK79j4Y24O6LNSqiCij7fTpqt+2Nte2GGaVXOK8Sax1mCOaTjedeMie+nDcdwoe6HQf8fcIYk5Z1hAcDUNGCHxSzhEVN8+ae2s0GyyXS7gcVbh/fGW0ENP+8P6OOfRHp8tAyWCKdSdrIRelbRtt2+CHLwxzvj0eGLCuV8iZvm+T9gPr28qbFnJKGE4bTskLOVfaMGpK5Lrgktj7QIDH3lkuV376498gP/8ccW7d8BY9i7E9+Mef/5G//bu/4+39Dc8ZZWUbg711yJW3H35iqSt9dJayIJpo2431/Q0342PbwDuyZKq+kWzF9o5PM5BMAlQQLZ3bdmMfO7kmrpcLZS3sY5+GIDCLnlDKSrbMmBTH1holF5YflsC2D8OqYZrYZGe7P/6z/y7811KvIeRvVKlLXMj2jdZ2Uo5sB5/4zzTddo6EKj4XUiqABY40VXKORpjLdAIMCXXjtCGrJJIqSfOEB8dmed8brQ3co2FY8pdo7KUMEorE4TY363GIyaWwLiuXywXNNULjp1U8pVD1lRSBt+4Rbp/yiIsPBddwQghQUsL7TpuDtSSCWI9sC9XIqWyNwsq6VNKS2fcFzZH7qCWcn67g4ocZAXzgNmb8hrMs5bRrl5IR8TiMSWeYkTQFziTPXMvtwUgKE6liw6ENsqdQmM7mpSTFU6LWBXKaTpWJWu2Oy3R7to4njy4sfOZWnE6GTzzO4a5MSUhpnHbt3nfM40AhGqqRPN2tqhJKi/0T83La0J9yP/YONoxchQtKaWG7723HrMXh7+kxvepVr3rVq36fOg4MMoIEoOYIHlhMFVQS3UYEj2uhIOE2kHDEoYnmwr0boplaF3S67ZBYb9CJDNfApgGIB1bNBQaC6QFOm/hQJZSJPZDdMl3z1o2xe+BeJiYk/PpC23d0WSKvoIebwnpn9JkPSSgHDaOPQZYj6N0OewLYoKqwPx7ctwetbZT8/2HvX5okSZYsTexjeamau0fmvdVd3QD+CBpDhFkAKxDh/y+HsAVmuiozw91MVUWEGQsWUbPIW0VJUzenQKhRTgrKeLibq5uZq4jw4fOdTAaWlMGMQzu9uhMxpols8QaiP08BcISL0yD8ewo4RcFzoxyLpz1iI68yxoiOSakwaAspJpaSwJTaKrFGmirqkz+EGIk502PGJFC7uytTyuRSzucNM4L54Y7mexPMnRjNdLg+PLw+l3QOAMnwxphCm2uxAkyaRRjIds+PyDm727IPyoNC7ZXaOq17Y3ddCmsupJwIKbP3TjUQT9H6d/8ZuOqqq676j1g5DUyb6HnmqnU/3XJTMDpqJQC99YE9DQQJtFaHO05O97s0N/4ty3KeD2c2YGsT6SakFJ9ZhOaOuL1V2qGDdCCE4cZQM8SMNNCwIj6kW3fPozRVxISSF46++4DN+B5r77RNad34+PjgP//nf2RZCr1VPr//yvfPXzGDdXXn5r5t1GPnlhaCRLoefH1t5BIpxfsYrSolv/OXv/4nzAL//M+/EAL89Je/UJaFpp297jTt/OU//yeadh71GGfbAkCru/c4xj7lFVk78xpLKANfp9T5nMw4mZecLht49ZzS6TCc2PSJuVOMYz9Y1uVEqJ7n7Vzo+/5D9mNrjW3byDn/gEw9m9YviDyEUxQ9cbp+BSNapp341YlrTSmxrqtnco7G+Dz7X3XVVVdd9ffXa6zWa+buvFfv+z5ceyNnceYIhoAI570ZeeYXT6RrTHmsPR7NFaIgwU4H/7iAs7cbwnzs6Gfu6D14s+akJPpJJVT1NVtC8HiS4I/Vm1OM6nEMWsBYLxR6HbEwIRAZ1ILISfDT3mm9kVuHLKc7U4ZLMhAQiSM4xih54ePjG2suaKu040GrPoQT8sKy3NAgw3XoZ95lXWmHC7US/awvEghD9NWJuVVl2w7M3DgVY+Snnz5IaSBTB/ExSmB7PPj8/OTr8Tj3Zl0bOXs821xzX3M9Q4weixM8ys2A4xh4eCBGIRARDWytoa3B7v8WQuDt7Q1rOxbECQcpjeFnf31toCB8ALo6gal5z+Z1HZ/7yJlx2cXfQyXn/y3f9v9/XdcO6A9qWrTrULuNQCnp3Jg+Mx1cRAzitmy14FMOMfsP+jjI+I0pYIqj3mJEkjfZ5k2zt+pBqceB9k5MiZTfWeIbOrBqIoK2Su82rN5CCImlrLy//8TPP/0VK9+QWE48SQyBQCCOqQ0zQ5sfAqwrQd0mbb2gpWC9ei7U9sax3Wn7Dr1i2qm982gbGCQJrMuNtCS2dePj/Rv1saG9o7YjpZOArOo31DAznwwR47YuA5cKWPDHrzshFHd/aCMEoeSM9kJNmZacW639oNeGHR0Ji7shJ942JciZvBQsxoGWiefNS+ITk6KCZz692PcNiEGxGMfUioyJSX9NZ7aI54JAre6ADMP6bhrOBWoeaiZ65lXUnFkYcgR/zQ3imrBiaG98fn3SmqG1gfl76Kqrrrrqqj+nzjxIEUIYecIjj9dEXZwMgh4VKYkIJDNkxAaHmJCBci3R0BCQJAQLw93vX2NiS2RkB3hTSyGK5yH2MfBiwswLcnzJGDKKCQnQauc4KvvjmMEJI4Pa86c9A9mx5p5f7I/jCBJHhys+0dlGdjQDi4r63/fm6LJj23ncH/R+YLmz5UxOC5KNtldqdad+ispSirs4Rga2BsfK9NZ8/yN+ABQRpglxotM9J1oxi1hORBWIRiCSk4uQIfqBZGYtEMZwEU4QEDjXeRc7jRyHO8WU1ozefU9hrdEHmjUIpDiajeIYt94Zw1tjkGkMJnFmOTlSz7XlQMwve8IgA4fjr74OvDvqKJ8UE0GEtWRuZeSCMOiv4+Fn5vRVV1111VV/X+VcWJZC695Yezwe3G7LeTabuX7ruhJhNADbD+e26aqYIuYU1abb3XOPnzl/M3tynvMc0yWDUBAcSRYix3Gw7ztp0HGO4zhxYD6gE8YBGR8sso62RhrNLRHHw51OQ+Bxf7AuhW//6YPeKtv9i5IKvTZKWpBVSBLRvPCx3FyU3B889k8fwLWAafAGmsH964uUbpS8Ej2LxrOvUyThbszHtvHx0zfyunLfH2DG7e2Ne68vzV45hdqcM19fX2zbhqo+RdeXZu6rk/A8m4/n1Ju4PjA0G9A5+fCPiKNbl2UBnjmQvbZT/ATOx5u9ntfsxnk9Z8/lRbB2Ebv+0BCduZMT5TpdNGaemTlFz/keuWgHV1111VV/Tr2aO15/zXvxXL9vyzrW5ESIdg7/dFX2facNPPh0yM/fz3v8q3nkdTjmjO/i6br0c3k8P06my+flent34k4wH1SO4gdcU6UdlWPbf3B09t7RffNoN2AphRLdbGSq5BDRmEgSRi/DPP5NGLpEGFqFG59MjbQUfso/048dbZXPXzqtd47jYC0ry1LQ8TzONe7jp28IynG/j/UYQgykkj0nUtUHkc3Xunp4ruO6DtKP2XNd7/7cPrYHX48HWz1IJZ/rZc6ZODO65Zn1fL/ffYB4iJvrugLweHyda7ybnzj3BN0ax3EAnnn9/vEBNZGrD0uHEEZvwnsmGjyKb77+rTW6CRLDD/uF1+sCzvV/v7Dr/2pdIuQf1P64kyKgNhIThaUUtx0P7Jaah8RLiCDBXY/mzTCReGYrhOhOSQn+wx+TI1rOppYZwZSv7aDVhqmQyzrQHYFond6P58HIDKO6y0E9z2otN95v3/j27S+E9S+OLR1o0dm5C2MKIiBodPedqfrwhRqmHbsV6B3RBm/v7I832r5jrdJqQ46NfFeCek5SDo6r4S9Gq5XePKz90TuimZw8W0KCEoLSe8LMcy2WEnG3hNGOhlZ3GYTbNwwXJPftPprDRg6RkCI1RNrY/JsaGsZNNkZvtKaE5TG1MZwSiNvFo7kzxUZGk3ObvdErfTQXBSIj+1IFiZCy2+p9VEXG/yEEP1SqmSNbcXTMnHaZh6YzZ4Knu/L8uxBoNt5rFojZp21TKuz7ncfji237TrsQLlddddVVf1pNETIEI4gRmc6EcT8PAgF343cf1qm9YX3kBteKBSWVhdv7G808S1mG+96CObAAcweiByzRDM9hxJDoTUFRXOPShoy8BUmJLAsk6Ieg9UDMHN89chkEIQjEIGhr7Grn5GAIgbIU1lQIKaFBaK2yN89w3LTTaqJFX5fbdtCOg8fXnWPbCOaB7tKNtjbSigABAABJREFU7fNOsIikwqGKkpCyImYOEwj4lGiMqMxvxbChrglhPJ2C4Zv14Bfuw1E9oOOgNAVZG3kQRzNqOzwzWzuxFHKMEANdzTO7I47IT3kQJCIhQGuK9Ya1g7Y/0F6xkeEcg+Pwc1kgCkfvtK0iSYldydnR+D4n1UnJ93oO5+E8bBqK9e7DZzGAgsSEWR0HR8f4r+uNhFGif5+Px2O4OZNndKZI0r99n1511VVXXfW/vlpvLFIopZBzdqe6dULIp3jXe6eUQjAotzIm39vZjLrf7/8ixSaPAZpXoXIKbWfj8aV8CNaziWYj0de657lwNuhqrbT6ii0NMMQ41ONEZo6U9DG4RKTEyPHY+H/9T/8TMQRu68J/+cf/wi///E/c74EjBKSDhs6+HU4/SgtlKfReOVr1mJiYwAK9NiId650WIJC919Fn72GhWef79y9MIJVCkMT9fifn4nnRvzsHT1FuPo/gDdZU8t+IvPPfZiN2Cnk5JRTPe1RVTPy1Ihes99PtEh2DRG2VPBrL82u+NoOB84w+X0dH6j4F0d83nWeT+vVjZgNy5kJ+//79B7KSfz/XIn/VVVdd9WfUvB/P89jrunu6HHEaQRI/c063ngjQPas3jAGZ+RhTZJo1//zay/39ejCHa08BkqfpxdRePt5OMw/4HiAi3p9Xj+PS5jnE1cYwzVGxdhBl5Cvm4n3xGFhSJr1F3u3Ne9riZCXHx4MF1yWckJiGWcizrFMKo89eaNXP2LVVsnYIyWNIzNBu5Bj59tNPpCB8iRAOH1yOObOkTJ9xKiKDEGTnOj6FuX1QDXzAx/OYa2/UWunNh42P4+CdOWD8fM7nwM+kKvTezyGy6a7Mw6HoImdHjHPPcehxUgrKUnjP7+Razz3b3PMlCVQqdbwO1sdQFE+h8tybvYjE8z2RUjoFz6v+ti4R8g/q+6+/8fZWEDxHYsmZ9/XGsizU1vh+fIJ2cszjtjGUMPDfD/cjIRFDQoK76FQd96bqP7i9NsJ4087pumX8MOWc3TGhldATOStd/Ye5tQ4MRGiIhJAJISPmge2Kuyh6V9T6QLA+xTeRYTcOfsNDOgRB+jjUWES1YsGbrCEnUnTWca4PH9s3IZiw5IX1ttK7C5E6OMriHUBiMGIW8hLpraLW6Oq5jJ7x2undm3QhQk6RkhKCsT8eo1kL1ps7E8fN24dH3F0icWDgYvRsjeAIV28Ej8VkWOrVmovDIZwNTzM78yxOO78IZhGCjRzHuZg8JzXN/GvIsG2remN4HmxfhchXV+Tr38WQKHm4QpudN7byvpByOm/U23ZNVVx11VVX/dkluCAVzRBRxNwp17pCN8waXSv9qOhRoevIU3SnfQpCzNGxn9XoNja0En29wt10qv08YIhBQpAo5BSIKmgztA7tMwzHZPes5O3rTm8VkUDOvkb5QcqxYDbcdjqm+mMIIzdqbIyl+xqLkUTQEKntGOuwodpox0HdD9q2o9WbdkvOZz503XesdlQCeSnupFSj1oNgGeamfGReOGh2/CcOm3W0jRMJRF5/vfwBX9+7DnqBuIxpwZ2WIWVizoRc0JiROJyRgxbgJFzFOvR60A/Pw6r75jhWBuY2Cq06EjXE7AQIVYL5dGeMyfHtpj68JDjCnXhmUkt0woWKOys94zIgYbpGfL+WB7o1h0CK/pp1NUyEsmTSskKINL2Gja666qqr/oxqtbI9NtZb4f39nW/fvvFP//S/DDExnE64bduIxikqvaIzPz4+fmhmiohP4Idnk3MKZfnFpQicw8MmONJsNOTCME+kmM6m1mxavjovHKveT9JPSsmxYjmN4WGFZEgpJEls9zvHcTipxzqtVkQ+0G6s+cYSC2KBdjQeWx+Y0UjKiSqRVo0giZQWcrnx8fETKS7U7985WuXbX1ZHjD7uHL1TUqQ3I+XM0SpfX1/kkj2PMWdU+w8uFeB0MazregrBs1k5xb5XofDVBfnqdMnRcXdTLATO5t/vz9qOTnu6U6fwOJ/n+ftX1+NsXO77frolXx2N8/We7sz579M1MR9jZkLOs33O/X/T9/xVV1111f9e6nVA6FU4POl3L3+e8VuzXj/n1SDy6mp/dTq+Ot9ev/YT3x1+eEw1g7HGtd58aPdlrQ/mhiB6w/qQZszNQdGhQE5kqAfHtqG1nojzVitaChGPlIlz+HkSBfATeCc4X2n0p3XQlpopQRtNG1ort6WwrIW91nFuHY796E5LP/86vSiVTF4WtG2YOLkxxkTV7qSE6PTA3sY6rEpvnVDi2SM4to1aq5OShmibckZSJIhjWpt1DDmHgScq9tg3anP9JKfIkXwtfn97o6R89uVPpG14itPtqJ6j2SqhZErO2ECxxhBIIaLSzmue+wLgh/fXK9FwiqGvgngp5U96h//Hq0uE/IPatzspdFIKlMUbcWtZuK1v7MfBJ18+xRDTwHn6NH8Qc/SpBGLw5lgM7kCc4pXUimpn3w/qvo8WIsToU5rrzTf5IsEn5kRIIeHktOpujHqMPKjpsPODQD0apXtjCxtNTAvn5EAIYHFOX3jDTM1zImZzEFPEe69UFbq4KJhEsJi51QedRpRAb4p243Zb+ctf/uo3G4AQ+PWXSNsfWOiEJMQSPJ9K3dXZjwp0z4o0JQSfyIjR0bdLStAax8N/+LU1rA4XitrIlxrhWSKjcyszXhNl+BVlYmB9EqZjRJ5Nz8mA1vlRMrKe5kITvNHrjVo7ET2OxPXnF2ygZT3TozX+5kD1e561X48hMVPKgkhgpw6HqtDFEEmUsrIuja1cUxVXXXXVVX9WjbQ/d0GaIaYEOpgP73TtmHWQRquNtu+eyWCQQySWQiqZkOKZO1iKN8GCRUTUHZVjjbPmWVDW1UeXYiJHn7w0NbqCzy3qGLZRWj34+vzi87dfiEH4uN1Y14EJxdBx2FCbuUlGit5E2/eD+tjZw07KyV320TfZRGEpyScHQ0B75yBwSISjsasSRcghYmHi0MC6IkEoMZGC5zPmUrA4D1bTGRn8BIWTGByN4oJeGMjb1/jDIdXS1QXVuZBLcMJBLIV8G/uUIUSmskJ0R2ZIC0qgjalFyZ7jZb3R2uETpfXAG5GCWfOc7taoRyWHyMx5TCkTxyFKex+I1OE+NUN9e0UMrzmfnk1tQTCcAIFGCJGUF+LclwhU9fwvydn3hRLOTE2JF3b9qquuuurPqDhwal9fXyceK6XAtj0ws3OCvlYfMKq1ng2kOeF+OinGua13n97Xbj84JeYZ79X1N7GciLAd22jOJcJoLmrvjv0eZS/NrtafQ64GA+1tpBDHYE6njkZhCpGvzzsBWNcb9RD2faN35Zd//o3eKt/e3wkxsG0HhzaOo505hyEGcloJH4Wu8NNPfwUix96It4Wff/4Ln9sXrXf24yCmTMkJHS4DYmBJkdv7O6rKtm3YUs6G7ESqThzr659FhHVd+RqvyasbEjgzFkMIjs0dGLajHjAE4VeRGKDkcn6+o+3932djdb7Gt9vNX8sX8XC+pvFlLZ6v6cTITeH01ZkxHRDTRTn/Lud8uiJEhsv0qquuuuqqv7t+j2Od9SochYEHxTjNIq9i0lyvJy1h/nnew1+/1u9d8a/41ylCnkLlHGhuDe3jXA8ECRCcQqhmWGtorE5NUj2HhXMMCEqvEMx8vR9r52n4wYU1M38s1TH8GwOkACN+RG1Gg3QigplSVWnbhraDHB0bL2PdbNqR7ihTs0FzUqUPcdVwY5PJiJgrGW2+W3l//yDG5LQFEWrzgai395W32xsxBL6+f6e1xm29kcYwTzShrAt5xJVo9fXaJoa9N2o9OI6d+/1OKYVSMnGIo7dlHfsjGc+RC4hOGHzG7B2tYoeQg5yvt479FeM1buOa51qPDFrC79yxc68y9zTzfRKvs/y/WtcO6A/KuuNHQg4uwIXIUopnOdRGQLx5KIkggTRucucUXXQsCiPPKMjoQGG0dtD3fm6IQ4ikmIf7sZBSwSQSYiQH2PeNpRRCBOuBrI28++OmFE+X3r4dfIU7Fj4JsfgUf3BErOpT/Oq9084fHEGSoB20eoNUm7r9uBkMa3NJxb/PZcHkoLaNEAP3rw3ib+5ETJGff/4LEsXzInLm87df0OKhu8fx4P71yXHgkxIhYPvBsgoxLqgaMSW6VswaOd2IIZ4W7X64cGltoFbwxqmJDDHV0SyR5KLwuKZ5Q0U8PzOO3yuGjAzI2VxE5LR/23Q4oqcAqR16Gzen1k9B0qwjwQgitJdF6ZUjDk/cyzwwHbUSi5LLQlkXQkjU2tyd2ju9K7W7S7Usy9+8T6+66qqrrvpfXwH4WAtLikjzabkcBUERcWGS6JkKx75zbPvITHSBLN8W0lIoZeFolbZv5GUh5chx9JGJ6HOHczpRxEU6EUZGpKLa/P+to6bEJJ7T3J6Z1No7OSbe1oWfvn2g7WB77EPE84aYTPELOLaNgzH0Yi4SoorWQRQIvkaXFOnH4QM7pqCdYL6+vv38F2o9EJR18Qytr8eOmedsxRAd0V6yh9XfVvKy0MfBxtQdhwFx7KqOQ1tXqh6jgevXU9vumY29n5QDkUBOhVwy5bYQU8K0s+0brSshJWLOpOWGlBudSO++TkPnMM/09AGnIcq+HCRKuQ33RaezI7lQlpVojlzxtbj6XJb50VHwwa0+XssQBEIcQ1xKV8fNSnISBQbL7Q1lJ9jAv0ZBu+dkpNuNHILje0e+aD8ul8RVV1111Z9ROWVSihx1O92KrTVut9sPIlUphfjGuebOv5/Nqdlk3Mb0PngOUh+ZQcuynASj1tqJ/FqWxUW5Y/fhlkG3sfF5Bnx9fZ0Yz4lvizGyrDdq9Yn8FKKvnf3gvu2UnAd+PJ2NtrI4UrbWSsqFlDP7to3p/ch2dFrbICT++tf/zJpv3O93FyDXBRHIIRBiZFnfSXll23aqKh/v73xb83lOrr2BBN7f3zAz9lZPsa2M/QIYy7Kw7zvHcZzn4FeRb13X8xw9M6Pm85dz5v39/Xwdaq3s+/7M2xJHtkYJlJJPByvA1h6knFjKcjZsZ48mZ8e+TgflsiyORscF1Vcn7Osw8avbcTpkZpO6lHL+fl1Xx87tOz/99BPAmf+pqicK8Kqrrrrqqr+vXvN9X9eWOfDy2n+t7WDfNuJcm83OYdiUErfb7Rx0mYLV6+O+Uu3mwMqyLOewkeqP19Wax5Tt+04MQp6o1xiIIdH2Axlu+7rv54BOjE7beVtXH26RF2MMkLNrBkE8Yu3+2DiO4xTMUkrc3t8I2bOStRtNDaQhwYgps6wLx/5g2x6Ide7bHIISIs9hoLlG1npw3x4e+7I9+Pz1F2R3N+JbSZSURryK8PbxTgwJU1iWhXVZ+fmnn0jZe/px7JVyHoNAu18/MfD+/uHxdykRuvqeYgyFzTV30gZzztxut+GuDOSUkbEHun/d+fXXX3hsG7fbzUkYP/+EjCiU1hqZ5elMVTcjiQi9Nh73u+9DghvNiAGLgf6ipcx6HT6be7nl6tn/q3WJkH9QOUVyisTgsFUxby716tMMOWZCiJSYXdSaDsCBC00S/O/dHgcoYp6P1LTSWuU4KiDkVJxlnBIxpSGaTZSqosawUitmLniZKKlE4uE3oBh8Q67d+Pr8JORMzsvvHq//gBxtvTm/+klAO29wMUW6dUJIpOi4UAy0wdvHB7Vmjrbz9XXnvj+4bxt//U9/JSyR9/cPjtroaqSc0EdBRHncv2imbq+uh+csmpAi5OzNwxD9wNh7Y983ckpYN+iKHtWnItSTsE4Ld0yORGM4C80zJEN0IVeS53WKAZjjcac9389JA42mo/s5ngvmc6LDxSrjuYuEYMTQUZ3i8nBtyHRM6g+Hl99nWswbaFd3hSjGutzIJY9DcmcfqByR4Xi9piquuuqqq/6UEoFWG//jf/s/s98/+VYyfW+OGskRgqBN6e1wcc6DmwZucwh8XcfUIWOv4JOPaTQTVRUbCFWRYQ6cGPCB8DatNGXkTCqhd1qvWN2p9XABMmeWGCk5IQb75gcWxcU6NXP8u/gBwoajLwTfG+SxFipQu2PgdQfNya9rYFrFjCiBXIo3L8X4+PjG7bZ6wzZ8sdcOL2uRN+oq9rijKGVZKSWjZsw9uvhEj2dV4Fh6bG7k6xPZNvYqggwyxELMibTekCCObe9KjIrERCwLsSyEVIBAwxDpWDswxPdOJo6K752YMiGKv8ZxiIete36jGr2rr7PnQdP82vEVXsdAFyGOjE9wudk/IuR4IuL7+CQLQlqWkSKptF5p2ukYa8l+nf7suyslXdvzq6666qo/o2aDaZ6/PMfPRatXfOacgheRU4hS9QaY50j6XX5ZlkEqctx6SukUtfZ9Z9u2s4k5ha55/gvYc+/wgnkrpbBtmyM8R6Ot9U4yzsfGjKoH9oIULbkguXAc7vTX5kJbSON7ndi21glLYH9shAAp+zB1eXtnff/me4PeOFojJv+ejmY0q4SUEQk09bM7Inx8++AGfD0eqBrffv6Jmyr7caBqtNp9PzKyn2fzcJ67pyD5mq1VSuHo7fx+XzOafk8Tms9fHLjTWa/Paa2VelRH0Idnr2Ceyef5XFV5PB4/OBfOoaV9P38/3yPzNQVO18xxHKeg+fb29sPrOt8T82O3bRu9n6uuuuqqq/7eeqXMTWz2zGieqOxZpj86F8NLA3yuSa9uyvm4s36/lv3txz0/f67b58BK09HH90lbG+u0DgejaR9n+cDttg4qnw+zlqVQlsWx58fhTsEYQaB1H8593B+n435dV1LJpDQHrSLRnDTUe6Pj+5corgH03jnqPpCuPjj8OipjqoOaEJyG0CrNlByE46jY44GkQl7Kaf6ZiNJ/+Id/8L5CzrReeWwP9rHmvr+/n69FSgkZZ3MZr5tpR1vjUHXMe4y8327sjwetHqRBLcTUeyIS2R7+PDzudx6PjX3feXt7Q1VJOfPx7Zv3OPadKMH1HRFCzvTWhsmo+eDQY0Nz5u3tjbe3N1qM9BcB0sxOwoY/z8+It9+/R6561tXl+INaS2ZdFmIUYnA/XN0rdW/s+0GKycXDsnhD0Qyt1ZtWKYM60o0+MhtCH8gtfCJTO9qVGNPJFD6DbE/b8WicjZuBmnnTTBQJRsqREOX84fYbqNB68wNDa5RSyMtCTBkJ5plRwx3ByFzKKQ7kWqCZ+9VDCNhoYJZcyDk5jq420rKQlozsmXv9Z+5fdz4fDx77xvu3d/KaPbNSAm/vHyw/v9HbjkXh8/FAjh3JBxCIORJLgsF8DjERQsS0s28PrBQSEVG/GYn586nDXREk+oErjO9LG9YjUSMphJEVFd3JMATGGJ6vs8rfLjJmnG1F8BB51elimQeahGonhkSX5k5I4VzUXg9KwA//f+VLi/jrpccDQXh7i+SSxmFICcEzyqAj23VDu+qqq676MyriSNX/2//4f8X2jcd2ZxEgCEdyp6BFIfoOlZAiHR0h7fNg46SBEATRgPWGqpBCcKz2GPzxtSpQVkeFxBhRU+rRqC/5wWJKGEM6/Tjo+wGtnSQGMeXYd3qtvmn2KZUfmnQSIiHEM5zeQaLuvEzBxdAm4KsopBhJIp5TiRFLoDV3e6xLoaxl5D2427Fx0AyqdoIGskGM/rg28ptjCAMJ7xmYXTuokwLCwJhqV7RXem/MM2IaeVohJHJa3XGZMzFlFEX7EIFxfKlJwPCvpTr3NkJK2b//+RzEBL0RUianyLIWluJfq7XO0dSnG+tB1IJKR23ntr6fTewQMpo6rXc0RHdGig8lGeoYG545kGpKH4fLdbzuqo19N9Q840tKpnel9yEdXzjWq6666qo/tabgdDoMXs5or2c1bf38mB/+/gUb+jqRL4M8MM90U4zato2Pj49TrPR1edCSBtKMc13xQeLTMfl4nK7A7dhP8cq6D+mkUliTN8tqrU57H+7EmNNY+71RqCIuONp+fs2ZjdSa0npnLQVJwTHoAhYieXlnqz7khAiqnWN7UG4LiHDUp1hpZnx9flGWhd47pRTfO6wLR7//zWvxe0yt06D8z0uKJy51PveP0VB8zYWcr9F+HD+8XlMknNc1h33925C/QaRNV8Wr0+X3CL9/LRtsfi/TWRlj5PPz84eMyfl4vXeW4Q714bWLdnDVVVdd9WfUa6bvvP9OEWiuAyJjyDP4+hBeMwjjc02Zw0PAD3uAVxf8/D1wipx+n3f6zus1zbgvz0Xs1LEPcQx7psSEBHdGDhMiiq/NYVAJWm9OJ1gW3j8++Pz6ct1gUIi0+XBQ136KkDkl1yVUSTGRcqIFY9t3rHcqeK+hV8JAq2LmPfPZQ5jPYwjs204aSFPDxdhyW8nNqQHbvlFub+S31YeaVGkjPq3kTIl50BtdIP76/ETMSCk6IcAGoSANbGprPB4P9pkbGcIgCUVSLKxLodWDIKDd6Qlb/yKov0YpJd5uN8D3f2VZaNqhVW5vb06kiE6c8o7CIBYaHLvv49r4Fcc+4OP9gx3Yjv18fZ9ES3/dX/eO8++u+tu6RMg/qPf3d95vi2PZojfOvj4/6V0xhZQWnyII7phUFG3VLYv1wI4DzT6Nb+cBxHOYaJ7NGFIYN8KZPTiwouoIuHlDRaB2w+wAPWj9oGsDjJgCOXg2QynFsZ6xuNuhd9TcwbHmSIvukDA879GGSzPHRA7ufPQbjOPoUnYBNmVHkta28djvJA3cbjduH+9UFP1u3B9f/PLLr+zHRrkt7MdObY3b+0JahL4pnYCkyPrxQVlXP1SpkSShCu1oYBDjCJNtjb4Ph4eNhuv4vaj53T28HB6wkwHdeyeP79YNjDL8FfMhhrV+3KRDjCQ4BVp3mIxFZNjbzXRgdZ/Bw+eErfhzBkbKmdzzORk5DyHbtv1wkHFsb4Bg1N742r8Az/PwPKqIaiJqJmsnpfzv9fa/6qqrrvoPXcF8Od4+v/MuYK26uy0aooL1SB/Zf0GUHCM5FzQKQRIQvIEn0/lWfdONElIeYfKe4SwhuHMfIEUYIeimHbTRe4Ph4D+vTzwHgRBI4wDVjs627WNjP6Y88U13U89VjjEQU0QknplTrY+DU4wofSBXDLM2cPEB6KBKN6VrJ5ZMWgpHc6E0puSZhcGpApLccRFicLFwyRAjR92hOw7OzA8IvTV/eHzZznEMn84hVBFE4nCcQAyZdb2RUoEQqObfX+2e6axAUCOoEmZjMMh4Pjxr05dv9f1MiIRciCmTgrgjMuUhGgYOrU5YUGHw2und2LZtkCAcP+uH10RF6CNjo89sEZFnPrV51nM0/75MfKjLJEBKvlcQaDHQzCkMQQSLEdILz+eqq6666qp/c7Xe+Hh/J5f3U4Datvspdrkz0uk4If8oTL6i16a4NdFuvXkT8TVHcA4Dz/zJiWR9zZacg6/yIqgd287MDrzdbue1lVLOoWR//ITk7Off+ffm+VLRoj92EEIshO4Z1SFGgin3zzvr+kaIke3+4PbumFDBv7/15jhWxbOK1+K4VzXjOHZM/Gsu68jPxE4HZxjXNwW7iYTLOaP6FNzmczSfj+lamfX29sbn5+eJt50C8ESdTlTrFCVTSk8OkcgZMX26NoYY2SeVKD5F5FLK+fhvb28nMvb1zA6cbsh5PbPJO+lV+76f+Luff/75dD2G4Mi3Ugr/+I//eD6+u2SvFtxVV1111Z9Rr6SDWXPdneuG/96deymlc3g3peTxYWMP8Eqsm/3a15xi4IfhmdfhFbNXM8vk4zCcjTd6q+jYK4SBLT36Qadjwc6/AyC6RhBTROsg68nMYRQsyKDwuHaQl0LaM7FWbBB9JEaSZGLM/mcxWm10a+yPOxWjtx09DnIU712XfA4y+0BOR9TGPilDMLouxBy4rQurBXJK7MfBsq6UkQM9UfOtd9pRkQVu5Y21LMQUMVW+//qr9ydqIw4NIxa/1qNW7o8Hj8fjxNrPvvskS8zX9+vr66RBSPN907effuL99kZKyQXdFPm8+75MwtO41V0lPvdSpkpvfs0Bf83TiKWb2eGv2PdXx+MzF/SJZ73qX65rB/QHdVsXbrcVYzgUhJEBqMTgzj1VxbrCwKhZV87ZB+vQG7PLJmRC9MPCui4o5vhPCSMDadixex/oz+D5qOINKsMnFtCD3ipdGxKUUpIjYQdWtaREWBay6sCPRQ9tTSM9VrzNGYfYZh3iAIWJiONPRcZUvpBiIEZ3aECnW6NVIa8La1n5+S9/IeVE+FX8B3zbaaoc9cBQlpuH3Dc1FCFOZ6aAto4oRInUo/P42vwGjU+KmBrtqKg1AoFggTRujtYVkeDPH7gYGcMPVujaG9odRffqFlHsPKz4YjAmFwC0Y/rMhfR/T47AHZm1HvI7FpjhigQwc0fkxMQuy0Ip5Tw0zcPLq+vSm5eO622tcx8uzKWs9Nrp2jxAOXj+yFVXXXXVVX9/CZBEoCm5JHqrhBTIITqOXAK9VWqrlJLIuXhzL2RiLJj5hlO7u+BNhGDqboLhgqSrC35qqCj71xdHCMTRrBukTxfDTN3NEISQkw8fDbFQTIeY2H4YYrHh/gfxqcchZvqeRQcdYGRNGU+kuyqje4mNIZyYEr264KgTpW7GcRwjS8Oxpd2MlDKpLMRSSLmcIqvBOQTU1acqTydJbU47MEPWcGJpzkPXIAk40cYHtxio2Wp97IPwA5LNgaHxvIdICBmJgpqgvaLomecocaL1ARxJsx8NcMEV5mE0kXJGRYgxcb/f0ejUiJDLCLyfuc42KAk6kD6Qx6SoR0UGYk7QlX40mjlGXrLvx9TGATcYFgWJmZBHZvVVV1111VV/d+WUvbmV5MwUDIEf8nxmxdF4m2IXPM+Br2KiN9iMr6+vszn56oj4h3/4Bx6Pxzl4WkohSjwxZ/649oPzYq6zH+/vqCr7fhCi50u23n39NsPU40lmflVA0NbpqbFt1Wdzc2Ip2c/YAtITqSyU280HfVMjryu9e0azWhuui+RRKK0Tk7smQYnDcdG652O9DYTazIpSM45afc8yXAveKHzmc726CKfIN52J87Hu9/v5PJxn7PH8TmLUdJ3Oz339OODMk3x1W75+7fl1J0b3OA62bTv//rXxPIXH+fnT+Xgcx4mam+6YieGdDWpVPVG8r7mX/1LD/Kqrrrrqqn9bvbrjX1Grc12e/4Y6OjONnnBK7kJ8dT9KeHU29nMfMAeQXu/rOf9oDHnFhQPn8NK5TpnHss2y2YeHIUDOHq+7D08C4mDzdeu01sc5OLhZxly8NAEZ7kjUqUJObEz+uAYyaEQxBPbWaL3R6wa9k0MmiJBigtF/r7WiehBC5NvPP5/PUYyRlAOY8RZ8Hd2Pg1gWcim03qhHcxKk2dlPj4PSEOMTo96ar6O5FNbbjbw6afFojftxcBw7KXneYwi+f+rNaLWC+f/rcVBbRbty/+3O29sb6+3Gt2/fWNYVgvD1uJ+C5HEcpzNWX0TkOh7rHAoPYTx/T5HxVWicrts5mDY/5l/6/VU/1iVC/kHlJZOXTO8yJvnMG4eCi04WMR0IsDoag+auvSiez8h84yLjRhdOtf9ole2op0MBcBcCBuIbfxFHs0oQQlCmTyJGd9D1GAglkGJGZWQTDREu5UweuRThRKPNS/ImGSpYtCezGke8EgOmzd0OUc78qpQjqQxe9JgcKSVTloTRUe307iHxJpGuEE1IaSUVIy8P8n64QDuCGP15yYDRqtFDoO0Pv9kgHK3TmpKIpJiYGZUEh8xJiDQRJCVCyu4yif79tlYhRkIXQsRdHOL4vDmlMJcDFwM58zpecawhRDSMxUL7sNfPhqggQyBtKkNQ9tyrnJdxGKsn1qXW6gtY65g5gra36l/a8KzQffOcTguI6hBGR1P7qquuuuqqv7sEx5GXJNAr72uGdtCrO9yIgRSC48dTZF1WRBJIREKkdkdwajciM+9RsOAbaxckB3vAPFvQEHrrHPt+DsYQfG01MwJgYxpSQkDMnYnWqouDrWHimc1I8ND7l2ZY751ujj8Nw7mXcmLfNnoIAxU6risIKO72TJGYsjckVenaUOCxb6ylcLut1NapR0UJLKlQkj8PxIBEFwsxdxp0oPV54FIfYrKGDmdmjwlBXw5l5nsUHUM6wphQdAfkpBnEGLEY6aZIH4NWXcfzLyQiKkIPoNpPnFwkEARa9XzPbk5ScFxrHGi5fIq/OgbKllL8eRxY9xiTv/baPSvSibzn/mEeOh2/O1G53sxtbQwUSSJi/np2z/iWYMRYiHkhcg0bXXXVVVf9GZVLotaDrr7eLssyRMjk+PBx5uut0aJPwocQKKWcDcxt24AhPqqduYwiejamZk302hxEfcXCYUawJ6bNEW0+JPTt2zdCCD74onriw2YMSUp5NN36WIt8z1B1NMKWhUJwt0fxxuM+hpEVZXlb0OCfLzk6mswglURQz0vMJZNUOerm66foaPwl35sQeWwbf73dEBEejwc///wzFuB+fwDG/XFQcqZro3cfoJ2ZmnWIc9OFOJ2RwHk2Ph0KLw6WV1HxtfG7pMwxcGiev/V0r8wzN3jTVFU52vGDMDhfn6+vL6c73W4/iKMzQ2oOUkkILOtKTMkzp7bN+zGjOX2/O362t06IgXVdeTwefH5+nu5LF1Gvs/xVV1111Z9R8uJYezWizDVguhy3x4PP3x7uVI8DxcqTajex5r8XIU/HpExaoZ5r03kNv9sDnA7KEEhh4mGhiw8Mx+iRKSmU0d9/7hNUFTWox4FTeQZSPEQ3wgQ30zz2Devu+j8FsZwJ4sSCsjxJCupYIoIpEWOJCRWjWcaGMCgxMJrlaJ/DNq5FpFJG/mQlRNdIgghqkMsCMY3BYagDpSrmkWlLyR61It7j3nfPv0aEmCJvb++knPj46SfWtxuSAp/3O59fX2e8S4gytJCABAYNwQd7rPkeKYfo+Zatcew7+76Rl4UUfM+QS/H+yAsZShiORjVqP+i1eXRMCKdI+UpGCMNF2VtjfyFmvNaVB/nHdYmQf1BhzbBE+ubNuBgiQYWy3shpIVgGEkkiS0iodap2OoLIAnEhpIW9VdSMMpqZZV0BI8SM6kY97v6mX8wDYh0g6j9syW8MjjVJxLBwbPD48jzFELLfEEPCckHXG3tMSBpB9hJGDqXfXGbM7BNfErAwDinSCdkDWm1soGP0LMZu6rzkpfAt/gTDNk40jE4Q+PmnD47ti/vnF3Z0bjGRyo1bHhgcWeFbgiZ8ff7mN1f1G5gNtGpI2Zt/IboLsBtDXaX3RkqBpo2wRPLiSJMujlbTIPQ43JAx4PdChX6MLA1FLGBdyHl1hB0jX3LcSOaiQALpnv3UbLhI4phycY4tMBB8ajR1h0qf1lUV1DK9V45a/cAhw/0SEykv1NroXQGl1Upvh4cWI0h3bnUpq19fa+4IrdfB5aqrrrrqzyiNQsQIekdbpQdhCQVColalhIC1NvKYBG0QS/BhH6vEkunWsORUg4APw2ivLrhVR4qHIUSJCNrM3Yy4410RcspY76Qo7o6QTBDY7l8uwrXKdr+jvbKUhfX9A20HX/eN3tWzDWOgq3L0RkmJHMf03mxi9sZxP1CB5bb4WtoaXYyYQOkc3ajWaAEIfvCRmNCcqZJgKQTF0S5pQSURY0ZCwpLnNkr0VqWIkYujWJMIrStYRbS5Q7NWx9B39eeIQMzF8aaqhHUgb0whuqCnUzxEMIlYSBASj9po9zvrW6CURBwiYQPP3Ro7HrNOzBnTMLA5A5MbBSVgKdK7UY9jOEiE27L4myUI3TpmuKA6hrOSprF/sYHdGch3G0H3IhACPQoplyHUjiGoBMdRITplAYk0yewvpISrrrrqqqv+7aVayXmhFF8TW2t8fn4Od5o32lJKJAkwyDz+eer8cIH32zv3uyNcZ85jrZVlLaOZNlbzALe31THeKXnjTMJAlHbE1IeS5dn4xKBZI6c4EF9GKRnTTh4RLkECHvcB63LjOOoYFlJMhZSi89uDkUKg02mHY95S8f6EYeQc+T/8n/4ruRR+++VX2nbwfnvj8Xhw3zfyAiUm4pGRsDjyFR9qsq68STlRq/79Bf4///1/dtFzOEre3hcf9NWA0miq7GMf5A3hhbrt3vwVOdfaFBOpzEZlo7U6qEF20gZ83R6N2tawvZJT8nxpM8rAoB7V8eonMm28F8IYmKIJv31+J3x98vH+wdvb29lk/MtPP/NP//RPhJzZB6K/rL4PqK0RiBjG28f7OUiUlkJvjWzhvFaRQA+dGBKPx4OwDBGybbR2neWvuuqqq/6MKjH6WtmdSGgIRCMOwWgO6NbWOHqjY9zSjVQyIcVTTJxCZG0jQmSc6+JwxOWckdZc9BOnCNXjQIf46caWp6P+lZLgw7Xel49h0nQ6QY2c1xNj3nsjjCiVVs3zmI8DMI+Bia4TBINt23g8HjDwoDkmv9Yl8/bxzsfP36iqfH5+gUKJAWt+Ls/idB9ZV78WlA7UasTsg757dRF2EgPczd98vbeImdLwXEedQ0BV2Y6Dr30jp8T7R/G8aIHdDtp95/Pzi19+/YUQAm8fHxjwtW2Utxs/lZ8JIfBP93/i1//+T+6MzIWOsB0VRdiP6uKqGtaUFBIpRH+9Pj5GNubG4/HFXg+O2lCMtCy8vX2gY1C71k6UgLZ2DgbN98z72xs5Jb5/fg53ZD+HoUrKxLdATs/n5TUjVEQ47OAJiL/q93WJkH9QRqe2g9p2AEIoPjmXb+S4IpoQEikkRLsLXCERc3ShcllpZv6DmSJpyQNd5hN+0p8W5TnVGF+m7YmO/TLjxHa1o3JsB/Vo9DaEsBAJMSO5EFIi5OhNQbPRMPMblpjwKsw/EWjevAR3+jEU/zSnALSj6g01hrrftDkO1oy4LH7IEs+m7LXTa2N5f2dNBelGe1R6b1gzoiUi7pI0DQTw50KENDIfTQJG9NBcCUgUorjD0KYGiBBSQmLEUj7zNSWOSZVxSELEQ2uF4Rbx6UYbzgVv1Oq5YJg8F6KAod0G9s3bxhI4byzNHHUzJyYRoXfAZKDajNYcdQOdGGeW5FiYJIIYzYq/F7SdOWJ766cb42yYXvezq6666qo/pWo38ioInfe3gm6HOwHyjTgOA9u+UY+DWG6EvBCyu+ccjTJxbcbMhQwWQN0VKJiTE8LAkEhgb8e5jgo+tZeCi105Bsy6ZxOaTzce+049DlqrPqQ0Nri9ez7TKXKpH5yA06Gf0zMc/hiPEWJ0EU0HTl4M7UpvipSIpESUAL2zrgsEz5aUlEmlUCRxHB1FkJAgRJoqogP7OgAQMQRiDJ6VbYoFiAFX58bkoDtRB9I+BIK5q9R1OhnQdHcT2iA4SAh+PYThlpz0Af8lgmd4q0PmTYUwO8nm2FuJAdOOtup42OhO1NY6dT+o+4GIY/zmg5qaH9Js5HFkP4C5JnryFIYxUobIPH6Z+Z5GXKC1iaQwISQ5sbRBfD8j8WpQXnXVVVf9GZWS5yRPjOfMEpzT6rfbzc9wrftZmWce1DwnT3xXSul0QJRSfJDod7lR4OfK+RjTjZFzpu4eySH4nmBi4Cbic7oAZyaio+B+nKoP0a/jOA4QoawFEOpohG3b9pJV5WfWn//BswqXZUFF+Xp8YqLcH3f2feM4KiEGukZa7WPw2PcnM/fZkqG77zEmog4Z5AOtYC4OxuQ9jRQTR+sjF9JRZzNHK5eCtplNzfl9721H1bOZYgig7lBdl+Vs5NbDhdoYE0vM1KOO9VPQmYMpYw1+kt79vRD9uZWUYX26GFRdHP76/CQPVNy+7d6MHWf7mfvcWvP3z7juNv4tl0K97yeKdTa/p3Ni33f2ff8B73rVVVddddXfVzqGWVtrxLE2uYuxE+LMg/RzVSnlb5Cp0+0412IXA/u5Pvw+52/uA+bHTLFRxrrzuvbDEyn+ukdw+qCfcd2QMmNFXBD1awpjIKefbjztSooRIT2vdQwGiaMS0d6px8HjsdExaj2w3qndOB4b7XB0+vL2RrmtGMbj2KlHpW4HbzGRy8LtTX1vELynvh8HZsrt7Y0QEl9f3+mtcntbnVAwBohqa6jpiZh9HDvaO0suiHnGtKqyjMzrfd/4/PxkWQr325sPYX/d6YeTEe6fn95/GMNAALfbzR/LIOEicRBhWR0PPyNvtm3j+/3ugmeMlGUlBqHvStNO3Xfi3CGYm64MuL29kZeFbsanKrU17tuDWHw46xX5+xqRE17/7XcOyauedYmQf1DH8aBVaNWnAOZNJCWftDcbmK048qPUJw3DbWH9eOP28c7eKoILirks3vxiMKfHDdEfc2DTYh5N0Ow40zG50btivVGPL7b7g16rY1SGCyGV1QXSdaWUhRye+JDX7IX5w/HDr2CoRseMqo6v5RP/IU3hT88DXGuNkFyk62JodyZ12zv16IPV3Kl7R6zSvnZa+nKWdT+w2okjFyqGiAy8DZiH3yqoBqy5oGfm3OY0sqJidByeiWdBxZghJ0LJxJQgiDsYtSMDX2sK2v16XWztSGQE9Q40zkDohBgGszqeTUR9Oaj4xwLMRezHG5ELmePraKdrpfcKopg9cbDAKYIuy0oKiQPnX7daB8pGB+LPm5fhipG46qqrrvpTKgv8P/8f/3c+Pt7p9zv5ZRjIDs+OOvaDshRKTGMQhzNz8RwQUnM6ODKw2eoCV+tgPw68+EY9jAxFd97nknjLCyl7o3R/3NGuBIlo0/H7QM5+DXO6/5mpcGBqpJgJAz9mYxNs58SfZ0XFeaAaGHHfewc6OARUAjEF8nojpux5yPjHEMe+JwQsBHgZ+LHqQ0lqkRhlOAHGNQQZrd257xgTozpzLny9jGHkX8iAoQd/fHA3houuPmykuGul1z7+XUaW9mzwBn8tQnDc61h0xSCNfViTMUiFO1C7VrQdmDUXBGUIiJwvO938GmXmek3ZUfz7m6ngMkTGudQrNoaJnhWCnJg6MwgSny6Oq6666qqr/u6arsF5fpuNwZmVPM/3AUGmq/1F9JuItIl0e80BMrEz6+9VWJpr88SBzvMluHC1LMvpppzoVuD8/6uo+RQUn9cz3RWzQTlzCGmOGZ0IOvCm4LIs7PvO/X7n6+sLM2MtC2VdsK6k7BnQMSWaqmdBvjRL5zXNJtu8pnT2P56I2RAYfZGE0s+zsw3xzV0D8ewrvL4mgg8Na++kEIk50HvAuvJ4bCcm98zlEsfKhuCDX8e+E2eGkzAQss8y9f2UiBMo5msng7RQcuF+v7PvO99+/gkdIvMUrufA8bZtlFK43W7MLMscI/Tnaz3fM8Dpnp3vuX2I0VddddVVV/29Zed9V1U9xooRm/VyP44xsq4rx3G447FWd6mHwNvb23mPfhUp5/7gFfG6LMuZLz3jUObHzGv4vYg5xctXtOc8+83PKaWce4BXJDkw8hldwJNlYSkLb29vjmifH3McHIcP0rbq2ciIsO+7O0S7Uvcd1Li9v51rWO2N+7FzdM+fXm4r6+1GiJF1DDe5uFhRdeRrjBE147E9iOkptk3EvLbuPX7g8Xh4D2JV3pf1HM4VZEwQQ47JMzu/vnxw+rEREZaUadsBaqQY6fi5+du3b9536TY0C0MF3m43YkqklOmqbEelt8bnvhNL4f3twwetx+uPdUTiEI8n2j4RJBDNuGljrzsKbMdBloHxfdFRXkXu10G0K/v5X69LhPyDun/94m9CSSzJLc6ihqj/zLSBEIkhUdbVrdsYebmxvn+wvn8g2hwnhg3HgNH2Ssn+w6s42iylOTHnDToIoEo7jjPvoNWDff+i7RtBHDuScyamQlnfWNd3yvJGSoUk5bx5vU5/zoPR7yuGQDDPcLLmTgzBr3VOFQZ82kSHQGlm0Ct9d+fetm3UrXErb/RQ0KZ8bg/2Y6dJA+nEIKQAQRIp+kSEMsTSbmht6FGRqkg1QgcsEGUE2eZMzAlJjmJTxjlJgrtKQoIA4pFSqDIyNQGJqDr6NSQjiGHheTw5MzvG7/1Q6m7IGOKYVHEr+lw4nkccGWLtc5ESMZCR9yQ2jBh2uhmfmZOBlApRkjsjzXOxmlVaO7yZGgbmTV6PU1ddddVVV/1bKwj8D//tf3DnmintUHrptM0zfFpvhBh4f3/n/ac3HwyyRm8ju5nXjCh8HVIfPhE1D4w3iHhO9HTxIT7tOBuMJXtzKw10aDXxCc45YZ8LS86kGMaE405eFpZlOdf5EOHt7YYY1Hqg1jlap2t3vGlw8a6shVxWSJ433DGnJ8Q03HqCAnldPE9xOBrUhNoa+7FTykIpC5LSEBgD3brnOTbDzB0YYIh1enNcueqcGgVXZZnWRZ94iomuLtgRfY2f10MY+6LgpIeAL5VhYEwlOiKt9uYCq4KoDaeFuRjsGwDUfD+TJDDMDfR9w7RTorCkQpCMyMi5HBmgGhyl46u3C6NiNvZs4qKpuXAq4bkf8Oyvp6vmNT/ih0B7rgPLVVddddWfWa/Dt1N0nA3J2Tzq3V2Q0/0oIVCW5XQwfv/+3R3x+JlSzdj2nWUtP7gg5teb7re5Rt/vd3rvfLy9e5bg4wH4OXp+zGtO4tvbG8dx/ICJg+c60vvTuTGdmbd15VYW/vEf/5HPz0++f/9OSon7/c79fmdd1x+QYa26OBtTPDOrWu/E9BzAndc4f6WQfnCGYNC0n6Kq49Tb+Xm9D5ScPTMWj+MgLStzeEdVT5fgt59/Gk3a6QwJ57D367BPSpn39w++//qJSCTl4iSI0D2zubXn9Z/6rXrYTeuEMUzOiIJ5u9349ddfEVxcvt1u1OMg5OS9hNYgBHL0xOYynKifv/12umjWdWX72nh/f/eG7UC3vTa0p7D8uu5fddVVV131b68whnJON6LZOagiY72aAyBLeT/d+XM9muvwHDSZZ/PXAZxXHOcPOHX+1gE361Woeh0qeu3Lz33H/Brz4/Po8U/U5zEExrmeeO8gn4PJosYukR4z+3Hw9fXFPlx+dZAcXvc469vtfKyufdD+vNf8++9xDjXNtXpe07IstLqfgu6kO0YJLDlTcqaUcg5bndma4/Fba6QYeVtX3pYV7Z1f/vs/sw3RMpkQukHrGIIsSir+fffeHQGf4jmgDP465lIIMbLtu19/TIg4HnXmSk4ShapH6dXWsK6UpZBLZsmul2gUjjZoUtYJqsTxXL0KzfN98Pr3lwj5r9e1A/qDOvadJWckR6IEgoIQRsNpIjIdq9UATYGYI/lt9awoMYgjz3DY8bRzNuG6evMqJpAQh7CpqFVC03Oy0fEiimk7BcAQIym5eJnyQs4LqSyEPPKZzDMJUo5uo1ZHonl7z514MnbmosAIdrXa/JcZJG+EMu3nIZ436Md+0Hpnqzttdx4yZpRUWG4L2jrb/cG93dGm1LoBHVKg3ApZIilm6r4jKv6ru4PS9oZ0JXQhETF5srZTKaSlICn6cxqmw8QdKa01z74ch8I2GsRhiIUyXI5+01WsP6cWXm3zc7GYYceGZ0z6zTsAz5upu0OfBwzvrHo+yPM94si+iWNVD8L0//utdXwtx8Bgjl5t7aD3hqqNPIz27/Pmv+qqq676D16q8Pn9E/vHn3m7vbHXL7R1uo6GW8ksObCUQlelm55obmNgQ08k53PsPhiIRF+XmJOQEYnB3f3448SBWzcVOh6sPg8A2tUzDFL2fEdcQOtmWPQpP0SGsLh6DmFMHjwfI9ZHVnFrdFxUTDGSimPhJQaCwNEbISdidmIDYziKlHyvECOSi+dl9Q6pO22hLMSBfdfhBA1xEApMx9SmZ2D1dtD2g1aruxJjIJgBgRATwYILmgOnHgCS51yqDRFSoq+jIWBjv9TxzMoY0+nYrAOFllLxpVd9LfZP8PW4t4aJkKKv2XWvdHXMTAz+eBN569sMQVImpIwFh7tWHXkhMoaQxn5BRMYexLO+dIifr9ORfriLpyP0dLmMPKkL1XbVVVdd9efUdM/9gEEbTcqJAZ1nPt3r2Wyc4tKry2E+xkRuHkc9G3KvNJx5Vp6NxOmkm+Lj7XYD4H6/83g8nJDAc3p+Oh1/77KczUt4uiEhnJ8zcaOnsBoC68DNzq/XWyMPDFq3RhR3LbbuuUk55RPtDnge5YghCWOwZiJJY0q0o6PqeZNCQG24N8bXn8/JMl6D1gaBIAT05XtUVXrrMOhHvSsM1H0MkZILvTe+vgZa7XYDcTJBbd5svt1u7lQ83Gn4upIK6k1L8cHmMNdtCRzbzs8//UTvne+fn3x8fHA0d1C8NqRfRdP5epVSCCGcjdb5/pqvyTGuZYqw/l64mpNXXXXVVX9GzbX2dRhoruPycsaaH/fqSJzr01zTXgkCvXf2ff9h7/C6F5jDN69DJXNdnmvu7CnXWs+9xBOt2j3qZHz+FE7n508XJnCuQTlnH4zpHR1n9jCGenPO3NaVsu/8Uit131GFbVAE1mUZw1R+PbU3YqvstY7cw0Yu6zC9jN66KqqdnJ0OVKvHlaQUud1WYrCTkpiG87Fb47beKDFRUkY+Pvx5D5HWO8cYgDpR9SOT+7dffuW3X36hDgxrzhmtjSXlEdmC5zGGwNfXF12VXMqZhWlq3iMAam08Ho9zrf7Lzz/z/vbm1yhCTom39cbDfD1vQyQleKZMXhdab6Seub2/YUHOfMz5/pki7nyt5vtmvqfm3131t3WJkH9QQZUkQg7RFfbRLBzkMG+8ScdQx66WxLoslNuKBqH1Su3uRHDHY3THoQhdzZuJ8pzsM/UfmtAVkcZMMQgihBjQIEQPmBqPVRAiImk4AOMQGI3W+pnJFGN43mxneBLPrCIMpDe0NXqdYbyg4ozlPv6eaL7ZTpHUfVJx3w8en1/nFOa6vLHkQgue/9ibsYeNrTlOtnf/PkL05qAeLrDG4f6LOpwN3Z0FEp6uAgYCTpI3TGU0S2UIkWqd3s2RZjGRRsZHV3UxNQZKzMSY6NYxU3dKviwoE+FyPjcAL1Mq8CPbO8Z4LlTz30IQtJq7Y2x+ng3L5kS7GK07bhUL0N1tmaI3J+O4wYGg1rHeCQF6v0TIq6666qo/q95vN4IEtq/PE7caY2S93UhLRmh0VR7fv0P0tSUER3nYxKqMtdxC9MaWKlHxbMeJidFnKP3ME5jOCh1kBRUlpwRjUKj3zlqKT+9ro7dKTImYMhZccAshcHt/Q7ty7DtmfewZEk37HPQn5eFgSMkPZTENt55CSEgqA7fq+Y4HwTOsU3Y8eUosORPEm4MyHPy9dfZjJ6d84uZ7n824DuO6e/WGXsRnh7o4tlViJBBdAI1prL/BRdAhNjr+1PFwFjxb0QVhx7OHlAlhOFpao4uQYvGMKJEXK4T411ZFAZOZMXVgeK4U0ZuuJq65SnQHa4iRmAo2hNa+6xBcn21O4ykuyhxqGs7OYJ6v9Zwu9Y9TtXPvMQkTlwh51VVXXfXnlJmfXafjcNu2M1NxuiNqrdRaWeKLM/3FCfA6wT8n+s2M2p4C0xTc5uPt+346F6YgaNhAq+ez8QmcTofp0vz8/Dyve17DORw7yD9PZ0GhtebNtqT80z//Mzln1tvt6aYU2Lf9FEd775ScQZ9Zh4JnSbWBl3s9885rjEwEbKOUQlkWEDjqBpL93G2OdJuZ069N2ZQS67ry+Pz6wRkyG7O//frr2eSbeUo+lNW5f32RUuL97Y193/mn//5PECL7vlNr5du3n3h7u3G/P8jn9cs5FixEej0859IAdepTSP7a7o+N2+12vk9MfVhs5lBN8fU4jjNXrNZKGM3Gfd9/6AncbjdKKeefp9PG32vXWf6qq6666s+o1+EdeEWI//hxc+2ba/ns7b66E1/Xo1ec6lzzX52Ivxc+X7+2f/1nZnT73UCLjvUlDG1gfsxcd2ut52O/9pzT+P2JEkeIIuRl4f7lxIVWm8e4ID7w2/UcqCUEJzQGj2UBN1193e9s28ZPfy2IQM5PYXReR++Nfd9IKZJz8jUtCsdx+DoYBq58fI6qImasQ6y1ruyPxzkMVUpxoc6MNAQ7F1p9nV/G/uL29sbRm/ciJLhpaj4fS2LNM5qmsdcDGXuUz8edo1ZEhPf393N/pc179iklUskepydDpC4FgrDXw4fRxqB2Vh9GL6Wc6/h8701X6O+x//EiHvyrdT0zf1BajbgkEoWgiaCJJBGa0XolSSLl7D98MVBSodzekJQ5mvobWDsEGdMV0RtmCK0dI0jXXZEpeu7RdMnNKQM/eCi1PdDuaNQ1L+fBxNEwEZHhDOiKBUjh6dDwA4A7IudBaB5+Jjs6qKNQW62+KZ8IEbyB2cfvOkYEyuITAjEKZSmebcUI1JVA64ZK5Pb2AUBJgcfXd/btwWa7i2109PAwYeb3LJlYMvf6OHMgJUUIggbPllKZfG1nSVfrSBfHwoWImGNLQ8TFzdHoM3Gci6oN+7aMhumYMp2LSHhOu5qASKDW9sPi4+WHQZ90mK9bAJRmFbNMbXF8jhJEno7J4aplWvyPRgyRnBwPFyRQSuZ2u7Hvd5/IVEUvEfKqq6666k+pLJ4R+Las7I87OQRCdHfe3hqP7cFtSWzHTjVjWTIhQNs3rA/BsDf2bWfbHt4gu715DkIX97iL5yh282GjXBKFwpiccefhQIZKED7vXxz7wze2MdKBpWTq3qmtDyHLsxdTWYhD+FN0uBsj2+NO7411WVhS4TEmBkNMmAlfjwcqQrndWG7vlNuNDtTeycvKbV14KEMsfR7AlEAICcHdj1v1BqukeLr5JQgiaQw/dbbHPgabRjPSjN7Vh2vwTXpYXIS0GIm5+D4pFzT55GQajokQo/8i+ASkmmPcR9biur6h2jkOx8PPYHiRwDAsYt2F294a+9EQIKd8DgsJPigWU6aUhElCY3LsXK2e14wL0CFOMfF5OFUdLPiBkEuSyBh125jH1NYaIRghONECJu5Hz8bsVVddddVVf3+lFM/m3hTBptug1vqDy/DQMRBaMol8TurDk5aTF294HcfBLaynCDabT/P367r+4IBY15UYIqZ65jLOmk2s2QydjonfrwciU+h8NkV/QILFwFYP7vvmDdkgbNWF0kkCEiBkX9PybXVEmyk0IWZ3grTj6VSYjpJ1Wfjp52/s234KioLnXxqOXQ0hkHL0zKzWSMU/7vPzk6+vr/M5md9R755hOcVY1bkWPvGt+z4ReJEYvelbip/Ta1M+3hf/fIN6dHLMJEk8tgczLqW15v3W7s3GozVKyuQhGJcRifN4PEC9Yfvt2zf6RPqNgbHjqFhXOsMlO/YGdT88w3JNZ/NYVXk8HtxuN+73+w+OyEuEvOqqq676cyrIc1DHxv0bGAQ5/9Ncx2N8rudTtFyW5fz9zGiej7csy/n3ry63V+zqLCfo/e0w6RQe57l0Cp4xRncBjvzHWXM93DYfjPEcYR8i+vbtmzv3WiPijr6QnfxTUubz85PjOFjX1WPd7hs5J6cEYby9v0EM5OKRIxIjy7qybNugDvgeoY/hGV/nInXf3S3ZhlZgxvvbm/dEWiOKf54eFWud+2Pn7eOdmjOiyrIu7NvGL//9n/j+22+s68qyLNxuN6c0hUhZF1LxnnpeC+vb2ylUpt6o2tn2jaqdozqe9v39nfj+Tph0QlNqa0iK3G4378sPgmUQ8WuXSUv0dTymNAiT6RR852swxd5zOCrGp8D6sjd7FYxPofnlNb3qx7pEyD+oqBHpEZq79xpGCwbJxaYQAym69ZicSMXfxAz7cjclpHhu1lOImLojonUdWRNxTDLmU1jsrQO+uRWD1jvtOFB1d2NOPm3IyI6MYSJYXQjT4YSY8YGvNvJX9Ne0T9dWsb0i5h+bSjp/2PyHF5oqR60YfrM2jJAit/c3nxpQx7u6SMiJiRMJlOUG2hAVUsyYVXo/OI5GOzwkHhu5lANhd7t9AIIGfFoj+WM3c/fB0bsjXCe6DsfU+sSj0FXQNqYgZWRQyRRmBdXxF6cDwZ7TCxLOvwdOIVf74GarnoyXznC3IASZKDqIIWOpk2IhRg/yDeI3M86GpQvP/lpUzDra50SPf3zOCdOCaae1Sm3PCZurrrrqqqv+7VVS5P79O635+rcfO8sakeCI7HmwEXCBcmwsHTWmJAOrbYSne6C8IJ4fpGFkLCoaorsZTcfGdax3wUHhEsF6xcQnE02CY8iGC3A/fOJuebshGNu+edPQzfLAcPeN5l5ZFmK4EaK7Fspt5W0piAT2o6JASImmypILkvLIThTIC6RCMAZi1J2JOlyivKx/rwexODIR5/rmmU6wLgsV6M5PJZhjbHNe3JWZMpLCcEJmLA1HZIzueJSZw5VQicB4XufhMigBF2LboD3ElE4Kgh+ilChOxw8pnvuG3g7fA2ll0tFEIOg8yBominnApH8e49sXQbvv5WT4LByBP6Y5Wx854UOTtNcc6L+t1yGnS4S86qqrrvpzqrUOHGczq5TC4/E4m0bzbJxzhq507SdK6xWJOpuRU2TKM6d5TL9PIdAdA/10IU7h7fv376xl+eFjXxtbU1AETizcbGROmhGTrPDS3JqZia/Y2d/nFL02zE4UnColrz54awExx5nN+JaYHO86RcJj3/nt19/O5q2IZ1E19RzJnB0Rr+ZYu7Is7HU7Bdhff/mF4zj49u0bx7b7NC5Pp8WyLATxhfjYDx73OzFE1tvKuqwc9XCHhypx0BDCaPpNPF0buVk5JD7WG7VWjqNSQqTVA23NEXMYXQIlRnKITmtow2kRI12Vz++f3N7fztdmZmGdAuzZI3jJCyvxh7X89b0BXBlRV1111VV/cr2KRnG4HH1dfeYPPvMNn5jUuY7NtfZ13X79nFeH2+/pea9i5Kvw+Pshoh8wrOOxXpHtz0Ec349MDOyrwzMEJxS2o3L0ThsiZBxY1u/bxuf37wi4CBkCy8cH9/udtj2cqLhk8rqSS/bM4+gY8zkwZaOHUfednBKqnfvnJ61Wjm2j14rWSj8O1ybMz8qqCt1oR/WYttp4jH3U+pGemNQxMBR4Zl/OPOzbxztvx8HjcedQJWsnByGUROhw3Hdq7SjGNnSRV1FY1Yg5EXIixURXRcIX27afOc3pBX/bq5ug5us9na2z5ro+n/v5esw1fe7d5nvkFZ//rwnVV3ldIuQfVKQQKeSwksNKJEOPqMAgg4Go5wfl7FziUhwvZjo26o4OTdED0LUPZTxAypmS8jnxN2+YmIe7BvHA1FYr+/7ATEnBpyZiiB5vJHH8Gm4IG86KYXuehyHgh4OP37ArddiN85h0cGE0nzc9w6cnO8bjq9KOnS5GyYm8JNbb6sJq6/SqI/4wItnFRDEh5kzRGzllenujtgeP+yetdoiKKd4AVRktOreV62zaRXE3ZAqYOd7Weh+5iuZYVqvYcFdGUQxFLCEx8UShKoy8imDRb4JjgUH8pjsPDeFFhFRzx0KQgVobNzJ/Pl9RNdEdl6b+8ZqIsRDjwQC8jhufYQHAs6IsVEL0puXRmn9cjMQYyDmSc3FkHrDb8e/y3r/qqquu+o9etfp0WzsqKXgmb6+NrmNjLc/GUViK3+NroyH0rrRWac2n9LOEE7c+ZCfHesaBFo3+e52HmhCI4s79gGPFYwx0lKAdwde2dmzU3gkYS8moKX0gwue6JiIjp9LlsJyyH1Sa5zX7lF8CM45aISaW9cZhnZjy2NAECEZIGZki5Hg8x8p6jaVo7FHCM+QdwUY+06mMMqZOsxIxRBUZOPJcMiEVJCU0BTQmLA3XYQguRDIGm5CBnHckO+BMBg/fJMpTHJ4HCTVFdOJ4/NosuPhLEAJG7yNLunfHveIP2QG6ISgT6Cbij+HitCNeTcfnmjtLBHdcziE0G5NRIkIUf31mzbPqPLReGNarrrrqqj+/4ogwOY6DbdtQ1dP58HouTilBUM8VemlQmpkP9gzUZm31PFfv9mwqTnFuNqWmu+HxeJyNztOtMZpU8/dT2DzP3uMs+urC9Mf0IZ59q8i51/gxJmTW73Gqv8fLOq5dAf+aJUYfRh5fb7r/wYeJUgjs23E2ZFtrhCE+dvUMJwmB2jw3ezZVHw+nRPz1r3/lOA6+Pj/56eMbNs7wM19TEM+Mao0UIz99fPMm4F7PhmU/M58TqFFS8b5Kc7RqRFhToR4HkgtZor+mZqgN1Lr5tR9dT9fMY3tgIbDc1vO94ZldOgaYZ3fCX7OJX53vp/nclvx8Xedz/tp3ec0Uu+qqq6666u8vNT2pBmEgS0sppJzOaIzfZzX+S6jV6XZ8zWN8Ne+8ZkvOP78Oo8z6/f19rveve4reZ2xafPai+duz4Ow3t9bQ3imx+LrVlU4fj+Nrd6tOAUoh8P72xrquiEEX2K0jORGXzPK2OmlpfL9LKby9vWFdB6a+Y/U4hbXHtnEcB33fkN7RWmn7Ttt3ujxxs9TmIuThGZNHrZSlsH68AZw5mEsp3G43H/SK0RGxrbF+vPOTQPvn0atoB9EWSgwgkb03tn33QWNz/SVOd+LrkHgIpCTnMJfIMfYju5ujSjnjW5o2QnS9JoWZs+3n/PPsrwbBKRlm5hTJQdOAF1PXwPrPPcolQv7rdYmQf1ApvLHkD95vf+G2viMx0dXRXzLymqTBDIMveWVZbhDH9L4Eb1Cpt7KsuetPQmBZCrksQIBeR0OzD2xqwBS0esbDY3twbA9ChLy8jWkKaLUjUejdSAZYwMTOm4H2p20cOA8OIo78nPixUhLv67sHtc8fqO45l56DFMiycLTGUQ/2dpCXSCyBpXhjttfu4fRtiIoYtkM7Gg0lxEzKC4sYx1FGc1PY7p9AQIMfHmZOkjcewVA0uHuBgZ+JFpDuk4utNno9UHbPcoqJZIVo2XOiPI3Jm39iqELAkTUzJ+oUIQd2xdQIY8KBMG8+3qCe+Q7gNvnXLMjn5KMhJoBjcoWIasCs8f5+8+9KIYgiNEKPSAIn5nRqbdTW6T0gsri7RaILmukSIa+66qqr/oz6P/7Xf+SvP/9MqxXdD0I3WjMsKl1AUqA18dDzOY0ogtbMVg/qcThKnHFwUBe3Yk4ICULCckJzxFKkx4EXHwLlzH5UNdLIPSb1gTf1VTKGhdA7gtJGw7TcVo7DJ/oBF+LGgItvmJVmSu1KU2MZOZMgnumcC3kptNowccehmSExQEjo6dKXQRa1szkpLzpZFHeMinFmM4eXwScYOcaCOz5EYDT2JBYXQHPy3MUUsZSIuQynYyAQfQUXGc5Iz4g+G68RsIGY6w1ro9Eaow+DpTGpah2zjml3tLwp3fz3EgNRFjxhGjrBke7mueCuYXas425IAsFACY5kVSXESB5ft7Xq0uWYfQrBnZfW2sC7z+nYp/g4///M/LoalFddddVVf0a11s9mFHAKQcfhjan592bGPnIZUxoDx0HI2TMCj97o2gmj6dWOio6Ik1dKwswAXNf1xKhN3KqM4ddSyg/XeDYlX1wPr6jV5y//+NdmpuqL4OXTQYwlyCsIMaTn2mJGEEgqYxDHz7xhOApNXWSLIbDNwdwQeH97J4/8yecgrn+VdV3dvXEcvpaOa1vXleM4SCmxDAfq19fXKTROR+G+7xz1IJj3AHL2/MRn43AOSc/cLOhNuS2Fo+3QvG/RWsN6p7fOP3//757tHSPbfcO0ARXDqPtBH43rGc2ScqS3xtfI2g4h8NvXp1/7svB+e0Pe3P3Za0NbJ47olNfX41UMnmv5/F5OEfJqTl511VVX/SmlqmfG8xwYKqUQk5tpXp1pr7SCM9t5CJj/kpD4KiT9PqMR+Jv/87sz3Pz7KYBO19/EfP9rZ755vXMfoINIWLfHOXAbJdBr576PjGWgvORd3243CAFNgZb8/J/fbqTbipnSe0N6p5iRRv+d1mnqiPFHvZ97mlYbwWBNhURAj0rddjSH8znUvfqZGEA9M/spolaO6tjyv/z8Mx/fvnkfQjv7VtnrwXq7cfv2zk0rv33/zqNVcq8U82i7ilFRckmsa2HJmds6aAVdHY0/iAZ95EYeRz0dihj0mOnpuU8T/HsvI4favVzqHQHz3of1jgKK0FTOrO9XbP6+72cO+Cvl4qp/ua5n5g+qpJU1v/N++5nb7Z0QIls9HIWmPpEgwUiUk+ucU/LGlg381sgOANDmGVKlFMp6c9ckQhehNbf8TgScqnE8dh73O/t+p5kj33pvtNZRbRy1U5aEmotaiNJQVBtt37H+DG79ccKinzc3D5WNrHk9s6lqbe6QHNMg09pe1oWQE2oNiaBiNNqJYQt5fA0VokFoSrODpkpUGdMOEFIh5pWy6MiozGhXckyk5EjaZp1uRrNOE6VjqAycjAy3ic0pRqGNiQZapfZGyoWknZgMxLMkkEQQwWxMoWgjMJA1LwtPa80dGyIIAbUfG69zIckjD3QexKbVXtUI6iJkkIQQXSBWd894W9czLVOauL9KkEQY6NhW6wgAdsSMmY6p0evgctVVV131Z9T/5b/9N/7rf/kvxMdvMB39TekqWAyIGK0LQQNiPmATxvQ8Y/p+SZmUsq8D4M0/w3OHU4KBBunZRTSyY9QFYexqkaB0dWHKMWGcol8u2V39gg/caKekhEgdUpzh1HI/yGhv3O9fPmGZ0gij9wZekMDPi+Pbu0R34A+sq7lihsrYt5hAGAchCYQoHnLPFFyfWFYz8wEoOA98s1prI2PJRqi8DxvFlAaONdFiRHJCU4Kc3e0Y/Kt5XtXIhGa4InG9FuOkFsjvJlo9AGrgYfF133+v0+pBzMN1qcNJMXI7jTD2CcxvEDHDemcmZKtFfz5CGM89oB0Gbhfwr6fd3aOOTfgX3Y7+fF4i5FVXXXXVn12vyNUp8r02El8RW/B0OczmG7xQc15+H1KkHfsPwuH8evf7/XQ3vmZDTvTXK9J0fv3Xr/d6na9Iz7k25JxehE89nZZHq+fHzO9nPt4rInQ+Vi4JU0UHal3G5+Xgw1Lrup4ZUKZO+Xm9rq6dfd+5vf0EjPwkrSzrShmo2mVZqLXy22+/ISIsy8K+7b7e4xEv85p7tVOg3UZG1e1249dff/1hfTczSi58fX7Sj0qKiRzT2UBNIrSBy9duyCRDqSFRyNGzpUvOSIookEvxHorZGY/jf595xa+21rjf72cPZVmWF5TdE387n/fZAH0VbS/qwVVXXXXVn1OmPwqJJzI7BKcanWerJzUAnhjXfd+BJx517gdec3xf1+x5X38dFHp1TMLTJTmHcudjTxHyh+t/GVqZv14d9HPdrvvB4+s7KSZut9UpBK2fudTrsvD+/v7DY+XbSgtG1upDtyWTlkJvjZTVMyBFGPhBgjgZ8PF1537/OvOLHZleCDkChrbGtj2I8Yaq+R6hd1JILLlgXdFqBAn0rvT9OLMq39cbt7c3QgjUVtmqDwVRIzFn8tuNFWV7bJAiPTiVUVIkaqasK6UU1lJOesJ2f/DrL7+gwwHZm1KPY4iKT6x9a+00EQWGwWiQKdV00LBcsIxx9CyQ0RdpQ2fRHwTtiabfhmN07mGus/y/XpcI+QeV00pKKzkVcl58mhDFDs8GRI1AHA68KSYJqr7hbNW5xzNjAYUYIsuyEkYeUk4JS5l92zj2g1oPcir0rjy2nftjo9aDkJSggjalR2+U1tpYFv/hEDP03OhW6mOD3t11mYVQnj8o80ATQjgt69pd5Gq9nWGvE7UirZFLoiyFHApg1PZwh4NBD+rTiwPdZkPYC8nzJHX+HY4vbWqeNRUSb28f1KPSTlt6JkiglERDqdrY24G2A+uG0b0hiCFBSDkRErRto2un9dHwNMfBFNzCHSIemisuAKq6qyTMheN3N3qfbhVHucD4nO4NTJvTsYk6msJd+4lpUeu+0CGIhOHu9K+7PfaXhSziJsxAV3FXCE93DFZd5OyKub10ZJtcddVVV13195aYIWrUoxJViTFQ67zf+qCLZw6kMVVX0dpp+05tB6qNtNwoJdPVfBgGpesUEX2oxE5Ryl2Pck61yLlWEDy0UOJAkQ5SgQ81KSVGwhKoR8XEG2NTBAwTGRMC9+/feewHpWTeS8HA10ZTUgwstxsSEvfjQCSMdVAxGfsX83zJbiAWiDGMwZ/om3Ex0O7nFVUfBgJUngcwMecPmNlAujWO3qghsmTHzqeUXKRNGUkJi9Hx6cnRLIToblEbYfczx3nkL5rYyL7250kYB0vRsQYbqh3t7nyU4agMEoghETNYa2jdsdrRIM/hMT+p4o5VAKdfMAaY/HlXgkRCiIBivbtrthTPxzDfT7XRfFzL8mw8hoGHFU56hWEgA7H7OvV01VVXXXXVv7luN8eSgTccj8OblT/9dCPG5Fj14dA3c5FpTrKHgQn7vYNh33e0d8eUjowpR3f6wO1PP/1EbZXHtnF/PEgpspSF+3Y/1+1X/GrO+YemY631/LrwLzs5YnDKDnRiHO7KAM/cSOcJudPwGHEhdjr0fc+QziZqCnE4AVy02x7bQJJBPSoikFOmNn/+SllIORO68P37r3x8fKMsmX3vvncyJ0flnJ2iMITSbdtceAR66+f3o6qsy3I6Oyd56Ovr6xRpReR0MNyWlaUsbNVJB5gRA8QcqUfn7bay7wfHYyfH6NhW6/j4kO9TTA1RdypaN0y7kyxMqHvldruxrOsT84Y/d+t6G8/ldE6MvV14DhHN53VeN3ivyF0a9d/hnX/VVVdd9b+DGmLg6fQPT4zqawwGPGk5/mn2w5DI65o8Hf8Tvz0HU17JB69DPQZO5fEMjyf1ZvTGXwdZHO7jMV9tRIHNde31WtIQO2utHPvO/f7F/nhwW27ITXy9HjhUMyOXQhoi6lKKU5IGXtTXPx37gmGoSdHjTMzQ3gjm13ocG/evTx73O7359Xx8fHgkXMnU2kZO9MHt/QaMoSdVYokECl2Vhp2Y1F6V3jpr8cGdmKPTieaAToDt2EmDJnV7dwJlyYvHxIRAKhnFh4TWZWHJBbpS952v71/88ssvkCO3tzdHvddGSvkFcW90VfQ4MHyQyblG/r7R1jmGoOsxPMvL6939e2rV6VUpnWSDibWdONbXPO+r/uW6RMg/qHL7xvL+hpSIZf/hrexseqfZMXL7Fpp0trYTjwe2QVPON3HKhYCzhsOSKOtKLCuyvqEx0kUIoRNVyePGqV3Zjjtf2xdVK5IjMWZyTiy3G70reztcsAtGFH8xPVfRMI2EkEGy49EsQHNnQO8+FYCMLCQUeqcfoN3FVbNx81sTkvwGqdbcSTgOW6lnrDZqr0BDzLGlMUR3L0ggpcB6K0hQjqNS9XB3Zh+5hynBQNbRPWi2xwgxkm83MkroHWpCjkBtB8fx8I09SoriN1ACH+mvPPYH98cXx7HT+0as1ReDkAihoBFSDEjsSPC2ZVflOBohejMxDXxb14r2nYohISIxY5GBdHVXpkWIS6JZo+3tvLHLdIWooqKEnEmax+SL0nul1R1Qd1CEBHFBxAixE3IgmS+S3R6oNeq+0erBcez/P/hJuOqqq676j1clRXc7tgN6J0bf6K7LCinQrZICLMldeJ/bjtaG9QOlQ8Z/FeHYKl91J+XCUhItdHKK2HDwJwnuehyb3fnfHNLBGq0aHSEui2cdSBxfr7EdG3ocJPHJPYuOce/dgEAwIVqkh4X1/a+YeXC963hGuvn39mgby/pGE1+Xcy6D3jYyqMyIKY9M6qdLJEZBrKN1R8To9SAAMYij28XxqtY6rR6ne2I/Dp/S7J11XaAMFH1OEOMQXQMa3XWgrROiD0gR0nCWGjmPjCa3bOCnPD/MaXc0bSwB7UpvGzEJIfrhq7XA0Tumxm19G9mOhoRMJGFUJLnDVdQPJDFEYhAQHRg3HdjdTq+d3n1b5YjbTCyZnDLBOn0IubX2MZQVUR2N5BgQCcPZaaBtiLmOpI/BMbdXXXXVVVf9/RVJtL0jMVDyjRiKuxi78Th2X2skse277wnMB4ZzzOSQ0TjymKqfjfPqgqF2H9Q9CTgx+Zk0+RDRkjPL2zv7ttG78n5b+Xh/p7d65gkex/YDro0xyDyHVU0Cf/nLXwA4jgMRP18u6+JkHXH8mpmx1fvZQ2gDSXo2SA1yLs+sQx0CpYnnUotnVKPD4XB/cFsWeqsE4ONt5bFttPYAc3Gt7oevZyGwlsyxfXHU6sPLYzDndntz4XLbsebZyzn4NSyLi5j7vvtg1VLYHg9STANpF7BgVK389ae/EkLgfr+z75VSBG2dnGFZhpBct+HYdFrEvn2hVVnzSpDAoZ5llUMhSUBbx45GlEFjKgWxSN8MjYBE7t93tDluNkvmsW9s+8FPP/18NiMxb6aqiveFUubt7YP/5X/+f/Pzzz8P58UDiYKJUntja9dZ/qqrrrrqz6gcAzn5+hswIqC9eu7xEPSCJDCldSMmkJA8boxAro5sjzEiIdK6f5y3dZ8CYxxrbVf1XEJVjoHgFBFyzuRYzvU7hJEhOUw/vTe2x9dJVWhjELr3+hQ9B3FgyYmUIhaE+njw+P6d434nSSQFoR07TcTdgcm/6xCFZbnx9n4DEUrO5BAJTenbTjOl3TZ0XUk5kdcVU+Pz19+43+/uitTOr7/9wuPxiVggx0g3o8TMzx8/sbfKr/dPytvKWykEgxQCBhz1II/4l7gUfnq/ITmda/ySC+9vntm8f27uNAyBEpT7ftDU3HU4TDel3Ph4/8kFxV75tn7A4gPVoSopgGjg/qjcf3tQH8qaEr1WlrIQFzd+1do4WqVjWG/+OuXiWZRH4+vzfoq3R+18/7x7RqY0pynGTO/eq6m9k3Om9obuLogerfLYN2pvEHyYvGk/nbRX/W1dIuQfVCyJvEymtNK0DmGwIVGIOZNK8ezBGDCBo1b26jeSWSEmUnKcR055oEEjzjrDDwEzbMmMOsQmoxOiu+5SzqxvK6Us3B8PWu+YuYjWe6P35sg1CZCEtYxA9+Y3tt4UaE4eM8+mbPhEZ5CDSGYEFp2HqJgCaUm0Xv1xekNF3T2ZCq0L1utTvFTDZnArM4DdyDlhYtAVa8Nl0dwhGUP0fA1xhwNB0ABN3UpiMi3sZUwY+oRGa3Xkc46pzlRYhntBJPDYvng8Ho6VySulCCkkv14FE3daSMhP1+JApJopZp1mUGtDpZPlgP4SNCvQmzc+U04sOG5mTkPYcLv4FKtimt2pqtUPeibulGjNHyePfFBkoPMyGoRFOzF401XHInXVVVddddXfX/XY+fXXX/gYrrcYI2WJpGVBUkCJlCKUkrFUWGqlaqd1d/oHgIBjw62fLog08F2pZAiOZZXool53i6HPZsoEmCohCvtR2Y8GklmKb+Jv60o/Dg6M1hWsD6eir7n9BcpqBNKykpeMakX7Rgw28pWiUxkMjtbY60HtjagdZFzFnMBMQlm8yWnOEqV3F0OtHu7u7G3gYwW00duYNlUjijsq637wuH+5qzIGJCYsRFSEanPddeiqSYDo2VUhJc+nGiQC0elOtdMh6r8Gym5QyoMYYXytJUdvxKq7SxKZjlG7EkVI4xAoIRIjCJ4ZiYo/RpguSCOkhJk/Z0fd6a0PBJ7v7WLIlOjvidoqTf2g0pvCmKK0gYGbbhbG62/ah7tyoOOt4wGUV1111VVX/b0lOEbMTgxbIOXs7kfkjBx5M1hSwtTxbNvDHXvTGfEU71wwTKlAFI8oCUYcuZPTrTcdcBLce3fUxprTEAMT5dUdP2q6Hl6zA/d9P50Y89/nGuI5ifl0UH59fQ5Kg51DOMcxcy/nuTyQB5Fg355uy9bacBMGPj4+2B8PxIyYohOZxIZTP57X2trMWxp7nkGFcuKAsT0eHPuOqf7gDpjOj4m5m78mxmwi9WII6LKybduZ62nqrsOyZh6fX9yWhWPfHS+XAp+/fbKbn6ijJI/PMe8xlJzd8dA7x7aTl8Lt55XffvukN4MQWJaVlDJHr4ScSDHTmwvRYoGP92/s+3E6b9xVmshFMOuOkR2vZ6sV7OmK6eo495CuaJWrrrrqqj+jRISSPPokxujOyOZYTR1rTu/t7PFO08h0uP8elT3Pae6g44c16pUoOJ2LfWRD6zCfzGsSiaN3/XRdtoFMPwVKwg/fByF4bzkEckz0QQDEXKCLgiNDx6/1tnq+cowsuTj54DgQIA1Hp448RBcw4xh4dUpfM9csHo8HmFKCZyP31hHtxFS4rTfe398pZWFvfeRlR1IulGVBh1s0rEZIkd46y7qQckJFnLDYmw9hbzu9VsyUdcmEkpAgHI87aVkJwPbY2I7Kenuj5noSGVIM4zkIWGscjwft6OyPB1ECH7d3YoY08hjreG0B1mWltY4hA9U7kPJt0At/h9OttRJiGHpIJJNPx+nc503sbynlxLKfovd4/1z1L9clQv5BlTUTc6RZ5/HY2I+dr8cDBEpaKMuNsqyeP5jLD8H04CiROJT1+SYtpRBKxuFgeLPLHBeGNrZ9p+4bvVVSspH2ZJTFf9AR4aiOjpEQXWlv1acLswz0Z0DR4bDAG6PjphbT682zYQP3Ru+e9RBGE3VMYMTxK8TAtu+02hAVUnDsSMyJGDjFt977QJRNy/nzRi7ibhLpduZVEoQQEiWngXQzFO/begVEkguxGknJH+s49oE5635zDSApU4LQUQ+qrwf3+51S+shTVGLII6cpIimT0kjUEkHVLeDEDAGsDadKV479oOP27Nvtdr5H5qRLGmjdbd/ovaLafKJ04ONEggfT78eAyT2bkWrj+ZCR92GOaA0S/LA6F73WkPD17/X2v+qqq676D129NUeHzs3iwIWFlCCGkX/omUv7fqfVdjoIgoSxinPiu5dczjDynDMxJ0wixODimzXPPRjUA8CRo8MRGWKiLBGIhBgH2l1ovdFVR2RhgDh0qhjcyRcSIskFtZDBGtIA6UhQ0nB86sCPVa3eHGyKpIO03gjRs6iNZ2aGSBhrbMVadUegds9Mto4FJyigSrc6kLWQJGDjgLYsK3lZztylkCJlWWg2Ma+OLCdGLM7hoOdB4Mxy6AY6shndHunrs7NaB/BmHCDN0S/HftDMyPlGjpkQvCErcVyLuEsxFsGpreJOSDPPtcbQpoQUPPvqPoabDB8+C+IuiF5pVQhq433jB0Wdw1Wm7mwNYTQso1MVzIgh0a37jq03WjPqtv27vP+vuuqqq/6jV20V2fHz5rpyu93Yjv1sNs4zMfj5ei3pRJhOd8K6ri/uhvDEp1Vfn+Z6OVHj7n5/ojhzLqQQOPbNh2+Dn9dtoIliDKPZqcSYAdf7am8cx0EIjmydDa4pRM5z5DNTKpBSPq9J1V6+zsyJHIHKPN0fZn5eFYwU4yASCHQ5B5FEoJSFru0U4NILui5GFzqPfQcRurm78DiO83mb+VjPa/GaDdrZ2HU0bSJKYCmF3v3fXehMVK3EEPj2/o3P75+kWPj28xuPx6c/dm9jP6Ds7QG4S2Xb3S1aloXbsviQkMC3j3e2o/LY6ymGvt1uHLQfGtWeQ7X4eX5c54lalUBaM/evO21gZo/9IIi4iFoSecmEnKBeONarrrrqqj+jPCLLsw5nL/44DnREYzwzG8O5xryivV+zhmd0mT9uwCyc5/opPpnZmSs417TXPMfXP4chQs515DiOMWTj63eOyfsJ49ytY115HXiae49cMhFoh+cPIvCt/cS3b99Y14Uck2PgP79OAlMPbRiO5ByQnhEugA/lqFKPSq+Hk5gQz4ZUJ/bd3t64vd2QGKi9c/TGIj7wO6/tp2/fkHfvMRz7zu12I+XE0Rpf4+yMGXtXtFYEQ99WTFdCDBzbBhLJS0eHwKqped8hBEQ8Kq2p90Pa0em1cuyVdlSCBG5rgeLPfa+NfdtGTz164k0IhOj9md47+7ahvZNSJufs2P4QqGOIzMYA0Rz0msNhcyhtvicAbrfbie+f75ffZ39e9axLhPyDkghVK/WofN3vbPUghMR6u42cgBtpWRi+bpo+b0QxJfKyEEL0rKgx8WezaVmbb9Jp9F45tjv745PP334FOPMaZ8ZgCPm86e3bfmYrzE29W36FGF3wOo5nE8tF0KHKp+eN1sa0vZlgh51TlylFd/qZ0feDsi6UvJ4TmL02DowUXViNIXnm076zP3b/HoMQeU6O2nAvGLjbIaezwRklnDcyC4LiLkLVpwvDxcghkKbMsryduRz7sXHfH8NY6hMaaSksYuz3L+qxoa1S9wclZ0fNLTcSo/lMdjeCGNIFExdGU44QCzIs1e3Y3b1hylIKSfyAIxKQhP+5N8/41E6th09BDsl5ZniYjZsb7XkzszCyJYZA3BraKxMunqKjfNe3j3+nd/9VV1111X/sEvV1TKsHto9c9iH4ObbDrCLHztF0oFbcpec5kXVgWAIxZ0pekTE5qQJTpvRtqGEzHFLcTW8iA0AwGpiiiJq7AocL7zh22nHQenVkdwioGJJ9oEZChpCxIeoRAnWv9IFVNzMe207o7lg4umdWfn5+ohLQkEnLQlpWd2m2BqESYvVrVHcNaBuHgeGIjGJod3Rb105Mi9MJunq+Y4jkmEilsL6/0Uz55fsnhxqxrJT1DYkRSQPzHhIahK4MQG3/YTLV+tMJKUxHpI7MDfV1tTvgNgh0oO0bXQ0H8oWRDeLNVBnuVwmcgz6OtO/EpsjI/Rb8/71W6rajtRJT8jUdRbXR+wDEamfNH+SUKFKozdFrZo6hCQM/KyGgpgjd0X9m/vV6x7rSL+z6VVddddWfUrMRJKOZl3Nmrx6pUkYzqXcnGfRjxySyvn1Q1rfnGXvffTgmRIzgzc3hrHOxT3ncN+5fG6WUMZi6kGIZjTwfBG7NvPsy1m7BI5B7Hw3QEMmpnENKBSPF3df9bmBCyeXMrcSEY6/nOXu9Lawjw3DfDkwdF1Zrw+wlJ8t8rf7pp5+f+ZPJh4dqraQo/MM//JXH1xfHtpFz5jjG+hd9QNaWQWF4wdPNvEgZVKIgARtOi5mdNDO2TvzdS+N2f2zPx+ydppWA8PO3n/ntt99oRwN1J4g15VbeKKnQ28H9/uDr65P9sVGSr/UpFSKwHxvtOCgxDKpDJaVM68qv//zPlOVt5ESqf78psYQVRNmPja59uGKF1g9KWQiB4bToTpgyQ1XOBvjE00UJfPv48AzoMHobV3PyqquuuupPKRnutlIGclwVqxUJYUSRuVHGhSE71+QzSzHnHyg1r8M9s0871865Vs01d4pUcz1LMf3wcQPac17DRHSqDgGPgMRX5+U4b45cwjTML6pKW1b6vvN11NEX6JSUeX97o8QEquz3B5+//uZn5NYJKVF7R06Xf0LNc6cFQH3wyJGqQjQhpITmMqLfInkpSIo0U7Z6sNVK6Y1DO/J4YCMzssTEse0cYxgrDoPROezVO1Y77dgxdaeltkqIkbod9A45FspygxJIwfdoQYxWO9v9k327O3a9G9b88B2HWckHg8W1gX1nPw5yypSc+Pq6k0uhFB9u2o8Hj6/7oFpklmXh7e0NCeEHoXgKz6/54CJCKeUHsXpSM14zxS8R8l+vS4T8g6p6sLfAXhu7VgjC+vHGx7efKGO6P6X/L3v/tiRJlqVnYt/aJ1U1c/fIrKruRg9EKJwRCGX4CiTfiPfzaJxHwD1lRkhQAAoAmeGwuyszI8LdzVT3afFibVW3yKqeJJHZDWFBl3R0Rbp72MnNdO+91v9//+5qlI+LURrNpqEEbK3Tesd5jy+FpkLtQ83fCy2vrPdXttsb99sbKXp8jFBlNOOEUGyAuW3WGJymiWme8SHQaqfUahcP1waSdHd3hGMAaR+0gSwFGJZxVGjeNJCAOQWHasNwYUoInhSTGTZbs8Gbs8wl5zyuG4pG2cjFchLisDvvsJnWO70/OCCjhzYwJSKoGw1Z00cc+Ys7eI0xxHPO473ifULEnCYrjUahVx2NSLtwtBBotZLLnZrvFG/28dgqOlWCiDVMMURrzR11zhrJThCJA8XT8d6GsB/KiT1kuB2L1e56VSK9VUo2jN0ejSxO6FXHoaWNwe+w6mM5km0ob1u1prPqjgDyptI466yzzjrrV9e/+t/+bwzZ5T30RusNBrYMGe68ZigT7xxzSgQv0Pvhmnu/vdMVZhXiPIZ20mg9HIcPHdmBCkh42HpJR8WEN5blpDS1BpV33hyPKE0rTdu+06AzDk3OIz6ARFo3N5/zHunR2qRtGxmJFVcK27ay1QZDDTotC2FslLdts1XKexjIGOctH0ubrd2i5u3fG260yrat9NaZFz/UnDbU894j84x4c4V48UzzTB+o1pCSIQ+8DU9VjUZgRtEG2g2hptjvQwV5GEDK+BkHllXZC71anoYMZLr0ijalriu9diQkok8Eb0rQoxHoHOLU/jQHI19bGAfVVqlbHkPGyDTPrNWwaqI6MsSw/RCWkyk+gOu45ugdYrChMeP1NBGY0npFhruU3jEI8FlnnXXWWb9FHS6Ih+aSjjPZXiLCNM+4KdlaeIh1bYjnnDuGdfWb2/VDG6ODRGTilnU1J0CM5kpsrbFuG97Fg1jkxI3zpUOj0JoNtEyQijXpHIdq35T5Ss75G1fGPtgDuN/upswfg8YYI9M0s67byFO2yA+j/Bi+tVZbi2III4vZ3IEh2GPb8efeO0reiBKNkjSavb13nPHmcCIjdgZKbzhxXC6X47HvSNnHaJG9UWc4/DToEOYe3HIG54/mnwmhG25srH768TPPlytrvnG/35inCf/yzHZ/peQNCY6YPFuurGtmmS7QO+v7OzHNpGmm9s6XH/9oQ2fvEWeot/vtHY2DQiRyIOF6M5Hx7rBBLKc7OkcuxZybtY5YFb/ryQwN2LplRv0Tvt/POuuss/5Lq31QtAtK+ziL/mnpAzlADuf7z12Qj6j03cX4+LWfDyB3Y5DDH3sHM+IAoj8z5Qxx7cOQan/sdaBQs1rOJNNEjJFlWcjiaKrcxuOOYtEiYaxPtRS2+0q+3+mt4xSLgwmekBJxisegrObNqD2W02Zn6a7mKtSOl48BXOsdswTpwVlUTHz09v6G9LGf8paRub9m0uwMfb1eEeeMPrVm1kFMKCPDGQetWMxJWTLX+YqPlq8cvUN7pdfCtt65vb9Rtm2IhoToEzFFwshlKSWz3e9s2agG04jDo3eCs6Fuq426malKg1GndiLGBxmDwwn5OJB+RPPa/ZVjqL2/Fx6Hlmf9+TqHkL9Qm2Zc9xaYnhI+TlyeX7i8vBDijPMe54NlBU520HDOEdKEiDPsWtcxrAsjWxJqzZb7NDBnZXvn/v7K/f6K9EqTSGuWPYUIPiYkexL2oQ6jCRZTxIm3IWdrlrcoHVVYLhN+qEJ2hYcIhPCh8tiHkJZH1JDh0rAc3h0xE4aSEcsq9IEu9qHe1Y+9FVpv1jxF2bZMJrMsi6lHvKn+VTkyLN1AjkowXEx/YHSDotKHK1CPA6O5FtxAq9rFIMTEJPA0Q64beVvp9zHkaxUX4oHTKzVTC7i84u6ZeblaA1HAx46Kp6ph83AOXLD7Ewbexl6TPfvRFBLxeD0fB5HIyICszZ7HyO1sraBah3vjY8FsY8HqvaFDJdl7p/Vqfz8GlvGf/o1/1llnnfVfQP3v/tW/4stPn/n0h084tfXtXg3t7WM0kUv30Aqt2WBQW6VsG/Rq+YC5UGpDcHg/4YcKUg9AqIwcJTHxjexEhA5qDT7FkHHOOdI0jaD6Rsmb4VNrptZCcJ6GWoNwmm3/4SNdPL0pMlyIKVzR6snvjVbdyCuCbdusyekd87Lw/e++x08XGsJayuGUiN7ZHBZBpGO5xh1Rw5FVbFjWdM+q6GgtpMmwrl4MaRscFFV77eaJ3/3+QgNKt6xsFQ8IvUOl05rlJoIYzlw7qGHrnX6Ipz4Q9oZjdzR63Qx3rg0dm/8OVBVUFB/VcjCS5WeICGUcrLyYQIguhyiKkeFBN6zrtm70kXMxp4S6hrVuGUKiHa/eoLkhOjKihYRAcI7W9SPPUztIt4ElA8jbG7ROr2eY/VlnnXXWb1HTNAEcKK3eO+LdgTzbh3VPT0+U7c66rofzYVe1P4pM4SO7sbVOKTYgu1yuhyvS8J3Kum5M00SMidY6l8tkAhg1TNw+iLQoDkH7EKr0Rm2GBo/Rvj9NE8457vf74Sz8uaNwx8u10fxqrbNtmcvlQs5lOCIBrCcAEGMYzyfTBKI3p8SPP76jbYhlmiHGvFh25O39dlCfQoy2VgPeeYIXamvUslFr5+nl+XgNzVFp7oo9/3Fd18OlIiLMUyTFSK2N4gohBL58+WJ4N3HUVoYDNeB74vXLK6UWUghoqzhR/vZv/wV//If/N9qL4Vejg+5RbSzTxO3eqDnjnWPLhRQTQgcVpjgRY6D2Sq7tA13XbT/gQ+B+v9suboiqD0xf70xpYq0mkpLRiM65EVIkTRF1sN3u/4yfgLPOOuusv9zSh8HiN3VQbz7wqLto6AOX6g6hz177vkD1g2UEHD/zOMT03jNN07E30MZBV+jdmAkMGt4jvnvcwMNfxwBULTu4jV5z750p2pC0to8c5X3tX5bFhD8IvXVqKfRi97+uK9174jIT58lcmpjgab3fLfYreHqp9GrEo9wy3pkoWETomOMfZz0MvLcotpF3mLd8RNvcmrKtG/M0Heu7j4Gn65Vpmmi1Um93PKCt0aoh77saoUmcPQdtzbCpzuEUoyz1io4zf+/NKBI4kGHyih5UuG93Wq34ISybpxnn7Hc0TRNeHLlahrQbVEngoCvuQ8VaK26QMh6JDfufHbd6/Kx72Ms9/E7P+vN1DiF/oeZlJs0zrcOSJubliZeX7/Bxwvlg2A3AB1PCibdhpeDpaug27wNuOAHwzg4fgPbOuq6UvLLebqz3m2Ud7RbpoaT3MeD3gV+zvKU9oD6EAINV7f0Y0okbmYzu+MCB8bLtcPSh5NhxL4aA+dhEGy+7M84U1GoDMMtjEqTLcRt9oFu0W7PQx4hvnVYauRTCuJAfYfOoDfb2AWPv1FpG4Pt+ce64aLmWR42mYBdFRWl76qXYBc5rIIgdEpd5YrsnG+yOnIqUEoVOzRt5y6CFXApb3rjmO8v1hbRc6AS0B7p4cN2weCjiLdA4BkcthlrZej8OhYf6xl5QBFNGTtOEiJI3pbd64O1aa3StuO5w0hEfDWv3wCePMR5BuL03qnaanpi2s84666zfopwqz09PlvUTIyFNzJOHMOFCRERBM9SMNsspUDWE+Lpl3l5fKTlzfXpiDvEIf3dO8JizEVFDrNIR2T1uYuhUHapIBS/e0CTdAuW1NWQ0E6U3QhjrJsKUZjowzTMSErkNKnxXy2OsGaeRaV7wdMq90UrFj+HjslyZLld8THQXWUdDbFlmwsDLqYzhHEYpwDtEoXfLv2y5UkbeUYjR1JjOVJW9NerWER/MydAbz08XQpwsJ3KecD4aglWhq7kKnRObOI7y4kysI4IfSk0Qeh0Cn5qhm7in1Yy0YlmV1hcEdXgVmqv0aqgZnS50Z2gagN6VUhveWYaEU8UzMihbp66Gw13XFSeGwjPEj+LFH3s7xNGaEmI49k8+elww10vp3dSX1VytiOIcaLXhLq0NBOz4c9ZZZ5111q+uOFwKZVxXW2u2Pgz3wJ7v88c//pHgHG641sU7Uoh2Zhc3yD+2bsTJsYiw3dcPHOv9jvdGrHl6ejqagNu22XkuRhMOYbT1fTfQsZ6AC4H0kCM0CdSyjkxnsbO2Cp8+fc+PP/44REN2zmytsW3bkUetyjEgXdeM99HESMEfTTbLvdy4Xq/2utSMIpSaSSEwz5M1Jdf1yNEy0Y+Qppn7tlrDtBTqwL8vy3K4MC/zzFrsTJtSOpp1IsI8zwdubv87jEZg3gxXLsLlcuH2/s6cEh4BHyiuULYMvuOxrE11Ql7vXC6RqsqnpyfK+sRPP/3A7X01YXLJhHihlUwQofZGyxuXaaYjtN4GHk/pZSWXSrou3MuKpIQTpbVCiJ4YPaVV6J3b7c6nT5+MbtCVkjMpRlKYLB8rZ8RBroW8ZS7PV2I61/izzjrrrN+iav02m9EHP4xC5mzfh4XAoA985CRPY2C2EwUOIc9xe3oIknaUqvd+9N5NTLOjOXvrtN6O29gj1Vr7iN8KYXnIPbZ1Z7+t/f7XdUXHebH3TvE2rMvbRhBBvOfy9MSn52dDiI6eccmZvG5obQTnuN9u9BAg+A8iBLbf6K2xbjeSD/TaWNKE1EYrq0mjheM1VG/7IRUhTYnvf/c7np6fh/Nz7DW2wu3NcOjx979Hhrs0hohoo1CZ00TtytfPn9lqQVQtKEWMMBBDOpyKudhgr5ZAbYaW3x2hwRvNKfho5ATvUOesNzBIhcvlynfff880zdaPX2ZyLtzXbcTo2Gvmx54phHAMnvch7zSlIw9yF1Hte6ddmLb/jvbh5D4ktvfl6YT8x+ocQv5CuZRwMRB8Yl6eWC4XLs/PhtnCU2unDfVF7QUv+zDKchqcc4Z38R7n4zcHGNc7eb1RS6a1ggOc84QpEmJEvKdhboGY0kCTgooSUyQNFKx3dtiwgZ4OhYfgPMfFTEYQqw8ere1QgXT9sIPbBftjkOZUUYFW+5FfsGdDKYofFyTcsByPYWMIgRa7uUIG/kb4wOGEGCFyfNDLYFprtcGcYVEVEzQ8KltMHbrjXHf1gbkkGciYAN7jNOJxppBQqOVO2TBXYcnj+VRqfWfb7ty3Oy8l86TfE6cLSkWJ5oiUkY/ZK94BInaBHBe7vG0D0zIOqGKvie4uCvjgfIcAtdHbGPQO+7dzHekj/DZEc5vqnoe5/64UNwa3Z5111lln/fp6ulx5ngOab+RScDHi00wPEfHBhpCtI75TS8U7Ry2F9WaZBMs0cZlnYpqO0HJFxlrZcc5wIft123nLbNyzf/d10Jx9Ox5OTe1X68guGt9zciDTbS/gDetem4lnxNGw4VwYzsFaG3WzgHcGzuwR4wZykBQaMhDsJkgK04x3zhqMxbIWggtoK+S8sd1v9GqNQ1sjLctSYwR1w/xpm3xGDsd93ci9k3wkpoCNFfvhJnTe4+I+ahyiJ8brM5BxaEdbQWumF3Okaito2dBWzX0A+OEOcdjvhYGM662x6WZIvHE47drR2vA+oKVQm6FoOkJtapjbYAhXfKDjqa2akMgrMUz4EEG8vYe8p4sdWpqKYW7AxFTeHJeo7anYHZC9mlCp1Y/X9ayzzjrrrF9VrXVCgGVZjnUaJwPb/eFOCCGwjfzDHcFq+VGN5XIduFQdVG1zLBhuVUdMiOVH3u83Wqu8vLywLDP3+93yidaMnx3+oRfQmp310thD2NfMKf/h1PzIstyFv5fL5VDu7zi5EAK1fqj4geGSDORcQPeGmAmWQXl6uuKDhx3xPtbYUjJ4z5Qil3miViNA1HH/Jj7+QNpq6+YaHDQHP5DoS0wHKWCapuPxPzaB99cebFC35Wy33yCFAKOXodUyk90I79amBC+k6HEuEtxCzu+glX/4h7/j9v6V9fZuWNXecXjyLeN8wFZlR5hG36IrPkS8qBEoRm/BoUQfhggbO5+PXkUMkes88fzyQi7mzow+cbvdKNvGpp04nCqlFULw1FJHntU5hDzrrLPO+i2qjjWplHL0XKdpsj71cKM9Doce3ZHw4YzcxTYfQ0JbJ3ezyb4mP7oad/ebOd4zr1/ejgGmIVrl+L4bhp99Le/dsKBMH7mJ+2PdtnzcZhziJYt7sfyPIDZ4a+Px3Nc799Xyiw/60oiK2/9s20auhdv9zpefPhNDYH75RJoiEhVpjdw6uWYUZVpm0nXBj3mIuOG87I0pJTsTzzO1FG63d0ouB30xbxsyxEUSvCHUZUSzqR4zEW02pE3zZJmVY2/gMIqkAuK9icTd6IV4+3chJJwLBB8BR20NnyJLuHB9erbhsHO44PECmgulVpp2QopM3mY0aQwbY4wH4WAfNO+/6/398jgsfsS07r0V4DATnU7If7zOIeQvlXOENLNcnrg8PTHNF2Ka7EPfzAXY1dQCwshBCgHnwsiAtAaX854QH12GlVw3tu1OLquhNr3DOws6nZbFHApYOGyaElteKSXjkeFkWAjBlI1270KrfahBLG9o/yA5/chVFOegtcONuV9QXXCGA1PGgGxkPw21RKuVVvuBaTXkGpYBtV+cRZmCoWiLr4YV2/nKrdljGRcDsIv+3ijcgqflQi+V1uvIuPx5oOvAldK/uSCIM4eGF0GwrEqi0dpQyNtQMbg92UIouaHVMjru+U6j0LTy/Ol3OJ9wbkLVhs0dEK+UOh6/CMF5umvUVu2ApPuw0Q2UqzsY0/ZWciM/w5qzu7N1fw4xOHz4QOfWVqljIRQ31LqqtHMIedZZZ531m1T0gRgirQw8GrY+dLU8YqQjXXEdUkiGYq0j80Ab85SY5xlVoY5mohOPU4GmSBCcfuQi+yEIar0Zpkud5SghlqkgejgLtBTo5jow04azIR97TKJQS6NbeBPiA9qF1la8NzGUtk4tjVZsyJZSGIrORpNMUKEP7LiJqPzRVLQcI7Vm6MCCK6ZWXO8r99s7XoQYw1hrO+qaERy8DeskOMQlcxGERC51INkVVUPWNtuY2IA0BXMOMm6v2YDOsC1l5CY2Stlo2x0tG8EDrSC9IGr4OnGCwwRDVRw9d7rIUE9WWhOcV8KUcN7yKFvtTEuy16s3E0z1ThOHhMR09TiB7j1ZlY6Jr5wTInY4w3lwwWgZA/PWVRFnmBg8OBcGSVbpvZi4Sc0xizSU9mf2PmedddZZZ/2n1Lqt1ggMH2m7rVbEe8OJhh1HWojJ6EG1dYKYcNa5adBrLCf4QK6WTBzi0x2Jut/Otm18/vITMUQulwspBV5f3w76mrKfYRnn7nYId47MKtED7w4jHsUZiWcfQpZSyDkfyv6Xl5eRXQWqlb0/oF2OwaTlWBpi1fsw7ltJyYaQrVbCIANs24ZG2zfElNBqTcpu6mI7WwMpRracDzFxCAHp3fKW9CMf6/HsDhyOkd1N0LBhX+ud7Z7p0QgTvQ48LSb6bdpY1zvxGgnemn3RR75+ueGksd6+UvOdfL+T180Gxj5R1jsxzsSULPMSsexNUw4bgWI4QMJwjyzzbDi63k2EjKHdCW68Z5JlaItwma+UnA3jvmZ6a8xj+BpDpPZKbx+ZU2edddZZZ/26qrUe6+GjOxFnw7h9iPiIy3wcID3S/fbb2nu6IaSBVP/IZt7Xsr2vX2s9/t3tdjsGlSEEQvTmeBziIjd6/fvX/GD87EPPnWzw6IRstONx51oJY+/S6Gy12JpYCnnbbP4QPF4cSRJl5Ervbs7tnvny9Suff/iRl+cXPj29kFLEI7Sw0mLB9UqlI8GT5pl0WYZwy8REsXc8ZsYJPuAQ8mYUp2maDjdnCIHaGtMyE5IN+HKrqHekZSFFT6v2uC/LlZhmfEr0PuYfY4iozfoxPiSiYpEpur+OHsFTaqNnW4/naWa5Xo5z+DbyvLdaj4i9mOLIrzbn7KOzVcfzQCxWZx8q7u+Zx2H0/vXH4fKOyz+HkP94nUPIXyqJzNcnLk/PTPMFF8yS3HXgQMVwoM45EumweJvK0N6UpTe0ORAbrBma5c797TPr/Yb2NtBnI3PAB8RHYlqQkHAhWl5Dr6h2YkxcLpcRwmpDSBFrODbf8b5RayPn1Z7CuN3e+8hhkOMwIPIx0NopcZbPuKswZVguxkCvG0sbUcuVEFMQIjZ8RSGkONwFjm3brNlZq2Hq7AFZuHvwB342OcuVaLFQ1s0GrnU9ho06cqcUQ7fuLkERc0A6HxAXkeF/NIS3x/tImi521HNCSIk0zcTpxv31jVoLeNhy5v32ylZW1vXGND+xLM+k6YLzCcGh3nIotJo6QpwQk0eGg7O1Tm2F2kYKmA/DcWmPf8943JvJsrskxkIWnE1N3ci9lG4XrtKaIXadtwOzPzMhzzrrrLN+i1rfb2ySmEd28Y4fIQTLBKYPB6Aj9mpKw/vdgtvpZFVzC7ZObh0kgjgbhJkKCFQJztuACjfUgN6GTiPmfcQDWkOyNTQXyzYamBLEGp1dHG004XprYyhp64odmMwhae78jpdgmFdxqDdHBGJDSMAGZ+KJIeCniRASOhSbkoulWqoNQhum/OsDr+acY07RGpe944w2btjarhYyLxkN8VBx+hiIWN5mbd0Q6zBoDR7vAsFbSHwb5IU2hrG9NrQWasnUvKFlRXrFdUV6RVrHYZg9hyCqJkxynuqF7i2fsemHmjGMwHoTh0HwE8SOU08KgaZCngpeBD9wuKVkauvEabHB8di3qfOID9QhfkIN4acCOD+crM7QqwPPqwilN3v9+tjX6LcZJGedddZZZ/2n1/PTE9M8U1o9sgdb72zrivOel5cXUkrDKeE/xLMP+NC9Sblju/q4Xpe8EqOndWjdVP8hOmqTkRlZSJM10+ZlQoYzv7cPgaqLjlwzntFDcEYG8M4TH1T3IMQ40TtsWxkuDXe4IZdlYV3X43k7F+w8rILzH1lYuxtEVSm1jGGkJwVvh30vpDBTXT5Q5IANZcfQVnuniNKqiW2Xqw1FaR/5SIo1dd14Djnno3F35GWNx7Pj8OYUWaYZVPny4xcTR6WJ/J7x0cRFbYiIcY77+1fDsfdCqyuvn3/C+Q5ayduNVmw4KKNJ+/b2xvMVlnniMk/4aHu2Bmx5HcKiSIwJCbYHnOeJBuSSCTXhgqP1xpKeeH1/w0fPclnI60beNhOTp8Qd5fb+zo8//ohzwvJ8tX2B6vH7P+uss84669fXzx1r8LHe7f35PTrrcXj0uB7lnEfvug48p8WEPN7G42333tkGEc/2C42Xl5cPfPkg8PiBD93vw4aki4mYJ/vaji2f5tnWSf0wC4l+5Ez65PE+GIa8K6U360fkbGKY4EnO2f4BpQXP08sLyxgkruP56aAvtVppORNiMkKCCBKNenSvhaSNJQXEWbzIHKKt81smb5najYqQYmJOieA8t/d3cslcrlc7zQ7SUe+Noo0wJ+bLxBTjca533uYa4h3iPHEMfqsquTZqzTg/oupECH4fUnq0KVUzfQiaGzpw6fDl/Y3bbcU7R5wmlqfrEaVmgmd7/+zOzDDMTTuFsLZ6iIZCCOScj/fDPnzcv7cjf/c91ln/eJ1DyF+otFxYLs+EZNPwpqPBNkJSFcUFTwwW1i764Y5svRmSc2QyqN5Zt411XcllhbriPPiYBnqNwa72dBwqgRhmcIHa7DZ9DMzLQoh7RoWBzETVxB7e4bGmW+sVRAx0ph3pYk29EVzbtVu+rPOmvnTDb6H74G/oJ0VwYpkaRhCzf6tjuN8HSs6aoB9W8o8A4A8buLkvG9KHU0TEDjBtuCxk52wHuktjGKrDdboPMRXtxQaCvWP0U08ITzgJdOdB3Xj8AUFxLuKjYWx9soxOUcu/SCUQc2Td7mzrjW1bSfEry/LM9fqJZXnCp4mukaYfh9L94vOxIFVrnLZmeFkZLkg1d0tv9jxFdvu+O1jSe5ZHb0pv9nv+UMk6c+W0hpw41rPOOuus36xKyZRNmZZgeA8MYdrUQtiDw9Yc7ABQ8geGrIs1Bu+3u80axRHjwJMoqHZqLniE6BIOG1bWcQ0XQNSu+dqq7RlotLJR1g20E6IznCuKumbqP5GRk+jwIdJdoOlHZrQPwYZ2qngXiD7QnKeLKfslRHyAPigGtXfEebzzg2iwq0SFkotlQI7HW2pFayEERwoXlinaul8K1Gr5jLbvp3bIXekhEsUcBzLNuGQDOd1zMYf7s7dOlYo4aK2aG7SZ+MoB0TtqtT0VzTIcg/N4aeMQ0UeWoqJdwHtayWgY+xznxmDQxFMpJXzYXaCGm+0NxCVzjALEiTQ3eq8Do2suSfEB5yPLGC6bmTPgfLL77QM5Pw50li09Dq1iB5t9DInaAbKLPU/ZMYFnnXXWWWf96krTxPVyofEx8NpK5v12YxtNR4vGGHEpwzXx6HoAvjnTHj8Xg2X7jvOqDQxNhXK5LAOBth6ZUIYkbbQdu7avu0PwhCiCiWR8MKErwKPzYj9/quo3insb9NWjseqcQ01HPITHDAyruS/3+8j54T66ra3iRl6SCBlY1zu3dWOJs0W4eMtEPIa1pRwOv76uBwVKvcfHb90mwIG73V/bHRXXRvN2wPJGfpXy8vLMD3//R1opfP/yPckHflx/tHOxWi707f3NxEK9U7bMtm704RrpTclrpuZGSZne6kDjmThMFJq3JvKWV/KWwTsW/4m8bUcjWFtDnQ2Y3bYdr+1yWcjbxn1ducwzouYOLTHy9etXYgykOhllwUWCP9f4s84666zfoh4HhI+RXX0MkvY10XrRtnbu/2YXwzy6KXehrT78258jWXdRzaOLsrXGdXk6iAg5Z8s37gyMZzsGlyF4vJ+NLLjTFWqljQFhGu5F7zxOjGSwlXycIU0AZIhyVNnWFQHmeUSpVKP1xXlmuSxcr9ejd99awyss00KvlXvrRB/M/S9CH6kh3rLi7Ew6hrGTT6g08n0lryv3fIeuXJ+uXOeZ+/uNdV2p1ZD0MuLLaq0Utd5EnBJTjAQHzUGInpIbtStC+0CjipBzYcu210ghElIY5CiLrFMZ2HxMpG1iXnOIGh7fcPiX69UQrPPMNE3mcKyN8DNRFPKBz+36MUx+3MPse7HHOcDj/nEXqu1Z12f9aZ1DyF+oy+WJtMyGx9SOU9hyGbg2QByBYFkQYllDrSmllePN3LqSB9Jkzas5ELTzcp0JwRCs6/1OxZpcPsZxSLDA+Y4byntDpaRpxvlI6yDdQtIFh3Pt+HeIORLbCGjVrrgwso9GaK4Cno9MJG3Q6QPpahg0wdwX3jvwQvfWAGy9QhBzaHTLU9rzjlrNI2vBSpxDvCkQ7WJpg1OvpnZQHTb2UnFqzsboJkS9hfn2RquO1i1/KQRHLg7NnZIHrpROzm94iXgfH7KejOWt9kCQYAhZHxvXp2dKvpNaYu6V8O7R11fWdeWeq+VIvL/x9PTMtDwRr8+GvEOoA9HmQyCGgPHC5ZvFrz1kVlrmU6e3Sgh2yHTB45q316x37vc3qg+UOBFTxIV4LEz0Tm0NmqO2cwh51llnnfVbVBginVobDFd9rdkahL6BC+Cs+dRbg+Ha763ixBHHAMo7wYVImifiNFmmc4OilS6OkCyzufVG6+C8iXu0dxtA1orrFbRRt42ybXhRxFvms23LQb2CBNCO9xMpTjQRSlW0VBQhOrGcyFaJMALbB4Jcx5o1HHtNRyYVDtdtb+JcMMdicqxrIa8r0Tu02xC2lw0PxJHx0Guj5kLfMsE5XFB8nAjB0Tv0EG1vkTPOCd4JXQrTbO4ER6f2Ti+F2sYQshZ6rdCbqReH6lNao3lBghAkkrwQUHo1BWQt2MCwg1KRYs1FwgJgOcwI0flBcRBzoTrb65RaCOKQGOm1oj4gMVHWitZqewkfSGmiN7UsUB/ItYHz+JjAOxOpmYTW9l1gYqRxoLE86EFBCAHfHaIe8dEG0/f8n+cDcdZZZ531F1bqzMmPGMlo3Va2nM3VmILReobjv9YyIk30aCYdeLQHUa19PbHdzEnonBBjOjBkIo77/Ubvyjwv+ODprVGquQp1dANbN6Ft2GNK+kPTFKGpZRXLnk85mqqWlgzzsjDNC6Vktrzx8vQM8NGEtcWQIOGgIpVS6N3Orc/PL9zeLb/JBFadMEWceLaSqSUPVKkN3ta3O1OMlq8pRhcgBBMoabcG5si+Em8uTUo+UGV7c6+UciDiDjeK2j5gzZuJm70QQqRumdoqz8/P3N7e+Pr6hZQm/vqv/4of//gPtKrQG+v6TkqeXiq5W0+hdyi1UHNjWwvLPJnDBcPRumZCIucCl8tCiIn32402BMEpRhs4es8yzfgQULHX7X29g8C2bkzTxDIv3Mo7glKrDYev1yvbtuHDwAGqZXuK93/2vXrWWWedddb/byVgjnf9WPvY1+uHjEdbu8XIR2AC2DHQM8FRPf4t+iHOqaXg3cfQcl/D4MN0c2A4ryNipYE4+3scphO6nUPXerPHVSopWp6ziHC/3w/RyzRNBOdJD/SFWAtv93fyZtTAlgtarcect5U5TVzmC8F7bvc7uWzMTnDBE1K0uJOx3gYx41Ir1VyDF3MzBu9Zi4I65jgxp3QMNRU3zECdsmbW252trIQYmPc18O12uDaDt4iVMmLdarXXLMZI9JHeiq213pnjUAsiSohYf7zVA/NuArKJOEXL0qwVFTmi5zpKx/rlIUYQoYwImJiSZVn6QXEo5XifqHPUYkLwPeKNhyFk3R2tY/8EHwPn/fe///722hH/J3b9H69zCPkLJVMy96M2G2V1xgch4F0khAknEWmW9eN9oNZG2ayZVoOpGbacWfNGb53gHSFMXJZnYvC0Vsi+EJM5GEIyDEiMDrRQS6PmDSeJZX4hxSuC0Hsjb7syUnFO8Z5jMz/HSHOOWu1AQLUGakcILpjtWARtNii1pmmnVqW3jwOSC4Ysc94uQLkUqGZh7rUjQ/3ZtR9Dz+OgoRWVjgRhvk7kUsgls+UV34tlcY3Dnng75KhzOBdIDBVBq2a1rhltDhHjUCdx+NDswFgrw3ZKzf3gVjsn1G5oWXGKYu4LcRF1De8V721IKOqR7vG8cl9vbOs7Jb+T7z/Z7+vld/g4EVMydac4Ohim1++oPbsfceCagfe6dEDQ4HHBAfZ4EI/XiGsFeqbXO9vWuG+CD4lpvhKnGfER7xMuJlqH3O7/2T4PZ5111ll/SZWc5fOUFghEyzJE8ZijvZZigyhvw8ZMpwDqA857Q4h6c0CGGGwZUhs0Ngn4uCAEbveNNDnm64XaKqVsbGUDrTb4643JdWrOiFa0ZXItQCT4QK6VhqFE5uUJL2qCp6q0gRDpo/mnCl4UR0d1RSjEICCGd+/dnIa5dSoQlitdPF2cYV9jxMVI7QWkoFIotaOl0PJGEkOdUhr3tzu9dZY5UZxy225QM89TJM4zKBRxFO20lqlrI6JcpkShHQ6QffMfvEe6EsXTnOVyOgTvoK4b9GquE7Hn7LxlQGuHKg2Cw4kCQjNVE+oiOIfzNkD2LuJEjCowHKzmtih2kPCGZmvDudpSBFlg5GQ5gG65k6V30GKUB1Vq7obSQWmqaLf8LZFg6lW6ZYCjpGD4WW3N8G6t0bFG8//5v/vv/jN9Is4666yz/rLKaEIf+FHF8oWcc+NMHiklk8udFBdas7N7jPORCxjjrmyvMAZY27YypcQ0X2Dgyn1IfPf9Fef8+JmNnAvrWogxEGMY6zzALg5SluU63A/JzuBd8S5BDJSSUR9IgzwQXDge015hmgkl835747uXZ0QC67oeDo/WOiGY+Gby0WgDrfH6+Qveey7ThR47JWdKzkgr5kwooyErgXl5wgXbs9zv90NkHKfEy/UZRPAxkMfzRoRZlTpIRlv9aCaGKbLV/E0mV++d2stYm60vkFtBPJSa+W//9/8t/4//2/+dbV253258+fqZp5C4bZltu+F6Zw6Bt3VDe8GLCbhyBa2CF8PPuzThYoQYrQHZKk+XC1splJbNjeoVxcRcKRhRwqmgpSPBUW4bKSQkOO7bRr7b7/eyLLRaDrFx753n716OBmaKE1oHrv+ss84666xfXSLW03aAZ2C7a6NpR5wcBDtVpdUbMQRalgOfmXMea2pkmSKtVIIXUnAkF81wUztOPL0qNTdLKxvr8DRNeF9ptXG/vY0MM2UO4cgerKXw5csrP/zwI3nb+PTpE3/4wx94+sMzIQS2beP99cbb+xshejqdGAKVxhxmW/+90lYht8bttlLWFS8m1K21s0nlJUV8SkSBmjf+/ssXagowTVz9gguR6+UZ6ULdCu/rKzQlb5WnpwvJBWJ3TCHyvDwxu0So0LYCKtzWr6y3G69fv/L69TPqHMs8o62Tt81QqeKYlsuRl92BvGXWbTWMqp9wzbHdG/e7mZS6MYXw3oaEIW8gULY7pWQu1wvzTqZsjZIbvZvxqvbOVjNbWXEIW21QbH5wWS5E8VynhVIrdVupWQbVyNFdPIgY+3sghECtdcTYWV5kr421VPwuGBskin0AuQ+idwHb46D6rD+tcwj5C+VDAOdGnuGw/jr34Hrb2f6WmyRj6l7rjlbT8WYU5mkyk6LIyIRQc1LGxDQv9FYPRGeMnhCcqTPrUCamBMgxtHvEnu4h9gfqZPxdAG+cmCODwoaDOwB5KPMcAxmrh/ijd6WPvMraG9E7QorghCxQ79s3ypJdFeC9P75+MKdFkOCQDlTb2NfaDqTL8dp6ayp656A7utpw0RB0HucNcReCOVbAHCwtF9pWD8dgH4FMXUeeFowhpS1UPkSkNXOFlmKHUzwhJmKy31PwjlqNr71uG2sueD8Rp0SaZ2KakBBoteCDXfARw705rEHJWAgt/wv7PYlYbmTtw/kamJjY8o2Ssw15XaZ1ZdLOtDzhvRw5ITwoLc4666yzzvpPrykEljnhojdnfu/WgHIQ1NHMTG/OhOCREHBpDLUGajNO00CLwVq2gTc1F4DzjkYnl4Z4T2xpYLuLNarGENLTKVuht2K4r2YI0F5MmOPdaNJV+7e+RSTaOie67ytsmcn3ld4zsWZEO94LQQJeZ7qYk7/24X703tYcb1gTv2+ktdNqHqrQhtR6uBN78ERxeBVKMwxbESi9Diypuft7yRQFPy3M00RWQ8Am72m1QVJU9HjcsodPd3su+2Ohm0pVnGUje+dRH0BAnQ1OcR7xE7g+1l7wXhFvORYqDucjEjwVBjLXgKhdDfomdDtUigmZmtOh+uw4jagY8ULU9jAmTrM9YNM+BE4MNeceC2n7sx3DzsC+GmVC7dAcjNrQxQGGmSmnevKss8466zep0hqNcRZ142qvHe/tPF9KsQFgSpZtlNL4lyZW2V2KtTaWZUFEuN1u1lxrzZz5YeQIimFM7UxsIt5lMXRbzhv53vDBMy8zqOB9GeftjveBPXnE+/CBOh2YU5FGkLBHDtOH435HtEZJOF0opeC9Z5qmAxlnazm09hF7EmNAs9GI1v6BdY0x4cUxzfb3PlD0KPzu0/f0Wvn85TMNqLXjJ1AcOWemELhcn/DBHIRdlDAae86ZM7KUcuRG7g0+gPt6J7hobpPWyetGpzP5QCmNf/8f/j0xJd5f35mXBS+e96/vOB+ZppneNnzgQLltdR3IWIuiUYDg8KNJq1jzsrbO5y9fDZM+kPYpBLyPoJY9JeLM5YJnTgulNtIQoxXfBumiI7Udje39dzNNE6+vr4djYs+aOuuss84669eX5TaayMaNvjeMs96Ae+8DojCEp9aWHXjNcebaMxh10Aa8+MNYswtJjnzAkSEdUzzWN9WFsr5b9JgA3o971xEfYqSi7b6yxmQUoYFnvd1ux9DqMY8aEWorFqfiYFkWE0RtGW2NGAJLmnDygTcPKTJ7x1w2Pv9wJ5fClrNlLCP4sYnQQefRXFnvdwTYbit1KwQRnIJThdYRhLJZRvT76yu393e2dSVMk/VJWmOtjZyNfPD8/Mw8T/h9wPr2ZkalS7LefevmggwBL/GgCIaUDJ06BFjQSTEwJ9uL3G8rt/udrsrlemWaJyKWbXnzHu+MVBhitFA2HwjOo92E3m0QG5x3pGBrOHwg7/f3UIzxeD33947A4aLch40xxiNebXdM7u+Vbdv+6d70/39e5xDyF2rn/D4G2NpFxlx7rVVKsTwipWJ9rX4MJHeUy8eBoY8sIAz/4QMxmkK/92q5jsLIL6hsm2FhvAtHiOrPw9wfHx9w8Iz3C9ljdsX+3/uA8DFAdecd7895HyDuH8r9gwYc39u/Dx/2952X/W0WZMeLx3vBuXFw6krvhl6zJp1DnDkT/ciLenxe9viN9QyMph7UUKjiqOoHLm8MRrFQS/Gmdqi9WeYGID7Sk7ksWld6LXQEnGdankgp0eaZUgvburJtmfW+gRhmJ9zu+JRwIZCmiZBseBmmaWQ5WWP0GBeKHo/Je0/X4eLoHi8BpRJ8ovsKpVJrhy3TVUACIt4ulE6GU+ess84666xfWwKMNOSRlVzA+4EhNweb4O3aK5GQEqlWKiYOKtqswSZKVdiqoT9SiDgvI9MRSivUulFKGCefjshYX5tlHFMy0jtoG/sIUwRFb/gv6Z3S1MRJveP6yHsea6IbORfykE/dWoVW7XYdB7UABB+8OexLH47Csb8By8gq6+Gs3P84b9iyHalWm2Vb1W77FHEedd5ERlpoOOZrIi0XNGeqCmkEzfPBJhiP2Z5PbzpUrbaG19ZotRlaVgSRANJRUZpZT6m6Z1x63BDruGAHRMRZJmOIODeyHmXcl6rpk7rgfKdRoQuqNmC2gabDJ490cB3ju+HRulmuY98R94Ifh0DD9Qvjwdj/OTfysy3fw4aQ4BQTWrWBuJdTa3TWWWed9VvVY/Nwz2ZE+hDftmNQF0IADXgfvjkzG7rUru3bth3OvRgnal6Ps/NjzyDnbPi1cf/TZIjyst1p4/68C+O2PWADqlo+EF85Z8IYqO23s39vP/8fSDFVtDculwv32/uRfbn//DRN1JER1dqIZHHOEKi9U2qF0YAL3lNbQ5SPXCzvcM0zL1e+e3nmvhXSPLFcL3x9f6PWzrRceXt7I8SZv/0X/5IffvyB9/Xt6J3s+ZWfPn3idrt94yRYlgUE3m83Qoj4ZM3SsmZqtz3Kl9evOBX+8Fd/zf12A3WEl8Db61deXi6odP74x/8X0xSIy2L/rtleAQdalKqNUgu3+41SGvP1Sppn8lYGRh2SDyzLE2le+Pr2DiKEGFGBpkptjTQl66U0G0yXWim1IK0yBROm1VqPPCpzyvijWbmezcmzzjrrrN+ohsBoCEyPYeEwDw1Azjdr5zf/+qGHvg8ZP8Q68fh+HhnRqkrwgRACKSYTKYsgzOT7m0VwqYLWY7+wpJnr9crLy8vRo8+18P7+fqwVrTVbK4IJpGAMJHOhOstrnOb5eDxbMLLPkiYEsdvqHec9KUWWfGF+eyeGeAxdnVgW8p43GZxjbY2vr195/fIF7faYg/O0Usjrdgidt5z58uULb1+/DiRsJo0MSu3K7Xajlco8z7y8vBi+HMjbxu39HR8CLrjRk7dz8ZTMedh6p/RmQ93JREKtd1JKh1iplMLb2xu3+500TbZncRZtlmJkGlnTMRgyPiCUdUNb56effrLBrnOEKTHHhWmaUXGHcKkPc9Tumt1FQ/vvATj2UI854sCBoN2/tmeMnvXn6xxC/n9RjxesI8S2WfB8rTYw6q2BGCbMeYcPHu+DTfd9oDZTyNkH3tT8KU2EaKoG78CrwzHY1bXYBScXQkgsS2K6zNay252FD4PRP3fx7PUjMN57T0rp+AB/HMbsQrqH3D+G7u63//hBe1T37R/Q/cO5P5bW2vFvQwgfikfMUeGd7k/YlBO9mCNBBFFH0wB+NPkONYrDHbKVj0arNWkHo9p5HI7oDIlniFqHeBmKkkJuZRy+bOCaxONCZF1XO3zUbvgUZ25JP8F8eaLXxv39nVobuVRDyr6tNMV+1yExzRPz5TqGktbsNAcn43nqwAGNISp+YN0KrYJIJMYF1cBaCq0qtd3pXaits/RGiAnR+s/59j/rrLPO+outbVvxKNIcLgTwgo8JcbZR9iHgXMI5oxC4EPBpslD6rVJLoWmnqWUyb7XaQM97w39GR3CeLt0ELy0bEm0IZGjKVjfK/Y7UhlNDq9NNMLNnLqkTWgUG0cAyJBsMjKkbohvAMiCb0lu1nMhWbVA5sg/2oZ+OQeW8zLg40QfeVNUC7ukVp5bbqDhCSITkCCJQG3nLqPdMKZFCMHdgbUNYKrYH8vFwcNZcqUCrHfX2mHdz/06VYAzzVJplPfRGr9nUojLyq7ui4g5Efm6V1uyEGcUcrSKC+Ajix6gTUEOo70PgrnVkSQjOCyomFDI3hDtyImXsLZzDMGo2USTQUenoIFbw+Pj2N5juEjQr5+zfOsGGkIDWNnLB6sj7sv3CWWedddZZv756bwdqy7IbI8syU1uhViGlHaMFwcKI8P7DVbEr2vecn705VWtl2zK9K7V2nJPD1Qg8/Hsdg8iFFAP3u8VqSAjQTMRjjUxT7O8NN5czXRmuPDt/72fqlCxHCj7O/qUMh91w/9euNIWQJrZ1RZzDi/UB1vtKq5XLtDBdFmagbPl43IdTcaDPvffM08z7faXUTpwti7I2ZT+vxzCRYrU87NLR/sE58MNNeLvd+PLlK5fLZfQXbPDXmomjQgyWlzycoTIJvRgpap4utNxY80bVzlYyZa34NPO+3lEfuDy/0HsmOGHG4YJlOuet0B0gbaDRobtBWnKeOAeCQu/2tftWuec3lusFFaHUYsNIb2SjUjLP372wlcK2mdPk+dMLWgrrunK/30kpMc/zGAB/DKT3PstZZ5111lm/vvwYqrnRzwYOgQv+QXA8hmsWa9YPwmH0H2spyPE17y1D0Q3K394T3+cBxxCqdUaTF+8cXT9MQ/u1v09weXrir3wAb+SAXCtvb2/U3kaWtBBSOARGex9exAgNPkY6kKaJT95T02y3r0qcErKtqAOXIiklLq3yN2KOv4AzcqBCwdZ7USWGSPGZ++3G7fWNS4o8Pz+TnLeMylpxwRNjQlujZjuTCzb4E2wAt9Y7X3/6DMDvf/c74siKXvPGel8P+mFtbZAKhTRP+MlizoJ3zPv6OvIYfYpE5485RymFVip0ZZ4mE0ztayvCZV7oKFOaLLe6K3nduN/vvL6+wnjtXAyAZVHiAvM8HyTHfYaxm7Ue0ap1PB/g+N6+VzzIFWNQvdMhz/rzdQ4hf6F2FJm5/exw0ZoaInQoBGP0ELwp7aQjuIFVNSV9HQ0mxbAmaZoP664Fq24WYE7FO2AgQlutBO+5zIllMZdd1w9L8F6Pg8dHHKs8DBnhwUr8M+fkrtCAb7+2f7Ae//2jAnSvx9uy16wdF8796713tlyBDxcjo2naywiz105ld5sGgp/NcCDWuLN23cfz2P+3Nctd0s7R/LRFxZrAyoe1WotdpDpKUQjJI94bpkUB56k1Q3E0NWerI+G9OVtUTTl7X+/c7itrtsNGzhvbdmNb70zLTJwSISVDx4WAcx+NULtYWiNSdLhrfKK5io8eJKKSySWbE3NbRzBuJqX5sZ951llnnXXWr6iSCz1Gk4Soog0kmuJPVXHdaJ8izhx5AN4Glq5WtFZqV7ZahyAlkOaJaZkR77EMYCUEh1cjc3dttF7oLdNbRtvIhTTypw2x+kDAo2zrnQ6WTz3Qo9oaopbJjFoOhqgDumFTS6Vnc1eiFY9+OCExAkAbB6Z5vtpajw098X5gQ70Jo7rS1cLaY0oEhNo31Hnmy5XLPCHAeruZyEYcIc6EaaYhlFyprJgo1VEHKs4pNowDGwBqQ7rtGQxvOh5vrZRcaCLDhcnun6QLVAR15i4kRiQEGxSqG8NKhiJ1oFSV0YjsKNYcNgnY/jj0weEopODHbdjvRlTwzhFTpGP4GBj7prHvk4FjlUcUkO7oWRvsIuZ4UdkdqvsAVNFznT/rrLPO+k1qWS6E4L+JCPE+jOOU0JtH3R6fEtiv2a314epXam3M82x40nG+LqWaa+9ByCvyIczds4X2xlQplRQDy3IxcU9XtBdcsObXuq4H0nVvhvWhrH88e+9NsUe35ngqlNKOBub+XFtrLJeLnVfvd3rvLMtCSon17XY8VifOkLEjBymlZCQGVcPVdeX+euf6/EKcF76+vfL8/MT7unJ9eqK2zsvL96jAH3/4CXEwpYXXty9s28ayLA/DR3t802Sirvf39+FgSEPgXRG1Rl/ykbcvr0QfeXp+4n/6j/8Tv//ue4JP3P3G7fZOulz5tLzwx38A7xr32ytxmolr4eZvSMzENtN64enlmctyxYeE4NiyiYimdGF5uuBcoFZzTKZ5MepC6yjmlg1pIvo9lyrz6btP3O43tDZD9A/n6v67z6XgnTvwetM0jaHrWWedddZZv7bkgRLA/mf8t0PGObYZdcDrsSYrncmbKag1w2qbLmUX63aLJPHmKGndetnmgrQeeTcnCa1W8rYe6KD99LfTlsDWs3meeXp+PmgAOCGGRKmVNgZYtRa62hDriCu5KMF73taMG8aoeZ7Zto31fgdnBKAQo5mgUmSaZ67LlW1dbXinSi+NLW+ULRNw9vwc6Mi6rhlaqbRSqWrY1O2+oTp6JiPa7chCVKhbHpmXX/DO8fL0TB1Du3xfEYVlXnDec982VCCmyOQ9KiYmnuJETBEFSr3bMHHsS1qto89vJqgUI/M04cUNxOou9Jpo2okxEHwA69ocA8G9r1BKOf6E5A/a47632ucM+yxjJz/u75vdOWl7wnjMS/a5xz4Y/UD7n/XzOoeQv1A2ya5HqPuujvAuEEI0N+PAZHb11ljsinahaxtsacv72Tf0KRmmQ0TYtpsNm7Y7Ip3gxJx9reOdsEwzl8uFmOyCUoeaEj6wqru6c//A7APJ+GAR/nk+I3wMD/fDTa0fCJhHlOqj+3FHqTyibR75x/tBaP8APx6abPOtBxtbj+dgjgRD4ZkqRQhoFETsvsXJYFf/6fM0C76j046fkWNSZ8NEu1CaI0U8NoQci8Y+KJyWhTgltnWj+A0pmd4MraddmZwneFNLzMvEvGysW+b17c2ckTlze38lb3d89PgpEmJkSiM/0hvWz3Av5oZ1zsKKgxMyWBPWlwMD57xnXVdKybReaaUMbM9ZZ5111lm/tqz5FkhpQp1Qe8PtQ6RueE7F0cf6p6hlPaZE6A+bVO9x3hNTMlfBstA61G5riLhoWcROKCVTy0bdVnrNCI0YhEgwgkE1xKmhSSvv233gPR1unsEHO/RoRbQhahmDDLdjb+bOa7WgOaNaaWI5xeoc+3iTgWCtpaDO08QRkxz4N2mCaKcxHg8DayrOcipj4rLMLPNMzRmfK66p5WWGSO/CmjMuRVzH8GUSDIUSTIXoVHF0HANdM4RKtG7ZzqpobZaViUeix9DtHwdN0W7fG78XF8Zam/XYO3SaCZrUREjuIBKMP2IDSHtP2NB19FyJwfYU5nBRvFrep3cBoX2D4PPODlQMR+Nj7Z7I8ZAQTCTlvInYxFVkoP5xJ4/1rLPOOuu3qNYqMYYh/rWz/Lquo8FnTTjA3P4h4tzHUHDHtIYQKQMzptrJuZBSIt9v5txTPc72znnmeRpOye0B72VDNhET1N7vd2JMfPr0iS9fvlBKPQaIOZsr0Y0h4D6UDCEc2LB9wLh/D7VcYocfTTdrlN7vd9Z1BeByuXAgerB1GQaydZlRlG21/MIIx4C01oZWxU8JvOO7l9/xxx9/4P12J80zn777ntf3N6M+eWsG+ui53195fn5GVVnXlVrrES9jWZzmKiyl8Pz8TC6FGCNTmsjbZr0B4OW7T7x/feOnnz7zV3/9N6BK8oHbrTBdrvSeefn+e0IKfP3yIxI8osoWb+YGnSZiCORtY54XfEqkOKE4qhSCS4iPNBUTXflI8IG1VC7XhTR7tpJNELbndVVHLtl+n60dzokjriZny51K6ci7kt6ZvDfyxllnnXXWWb+6aq3kUgjFRD0dZXbLN062rkqXTgi2buaSiURS2odPu0HG/leHqLfGiFNnfX3tgBK8I/hxfm4K3ptgdlvZthVV21N4Z+JhUX8M7WAM4PpER4mzzQVwQr6vxBgs7m3L4+BoMWUlF0KMlLE3iCEweRO82POxbGtExqMff++Nsq7k1WgOdKXmDL1TtY1hYTmMV12F7Xa3eUMMiGvkdaXkzH08v10EtSNdtRkyNq+b0Zt6p25lxJ3YMFGcYx33wxBthymaYStnXGv4gZJ1MVj0iQh1uBCPc/bYx3kx8XivNhwMk9Ehuphw/FG0FUIgpTHoHRnh+9xjR+fu4rJHs9fjPgtsHpFSYpom5nk+aBQ55z9Bse77tbP+fJ2vzC/Utq14bxmQ2u1DHkKAoKQUBg7FozRaMeRnrYYgEedQBCd2oNnxKlOy4dS23WjVbMV1NAqrgA9CDIE0zczLhThPhDh9jNUeHIr7NH5HrO7NsJwzOjjE+wd2HzbuCj34cFHasPHjoLN/EPf7A74ZOvbeSeK/Qbo+OhS/zd8YyFdxI+tq/9ndyZjHhr3BcD8gnYzAyE4SceOPYE3K/c/oQzrHNEVqqdQxXOx0eq+g2MV2tyaMIWWMidJ3u/dESBMOmCY7DG3bSlnX8doWtGdqs8awuMA0Cc6H4XYt5GLq0XXbuN9W2t0yNGKwwXNMM84nvI+mvgyCUg8kXggRxRrZIURSLbReh/uykLeNWrYHPc1ZZ5111lm/pi7LwvVyRUWp2vG7o05HKP0Q4dRcbHjlHF4CQTp+/35vxyRrR8F09HAPtNaIPuKcWO5S77bpbdWGib0Zkm0MD2vZ6NXckfexjqflggueXAoVT4yTZUluN3yajRbQGnTFq7Llje1+R1oBuuFgc8PFiE+2DvWxTtdaUV+Iy+XYW8zTTN1Wask0BTcef63NDmw+EiZHx3PbMr02NEREhdo7t60goaPeoWI5Fl3BB0eIaexHoOYVd6DvjIzQajUhUe92OCoZrRUEwrSjbt0QZnXUCX64EGUMU0U8zXXDqHoZ2cuW1+29ZUsLw+XKPryFMEUUoY+s7+i9DTG1o00HatVcEaV3utrBdp4Nl997x8dgatpxANxLYJ92sgNbRWTkSY4McvU2uD2zn88666yzfpNqY0C05yTu2C0jGnmmyZxvORdUhVLuB3J1x3Ltiva9ubQsCwDLshjtZ91Y7xvzPJvD8L59DBLHuX2aJ7u+7xEv0XIFP3995eXTd3jvud1u/PjjH+m9c70+Ad+q6fcG3D6s3FX4O6koTZP1Lkbf4LZmQpy+ESaLiJ1z7ytxb9Jqp24V5z0v33/H7fWNnPORh9V6J8SIqOOHn77w+e2d5emZdduGEFi43VbmeaY0JcZgQ1Fx6DjjLrPn/f2d+83E0zFGgo/U0tBe2dZCnAx5O88zZTN3hBPHPE3YdmlkWJZCDJHrpxe+fP7MWgqfv77xL//lv7S91CugjbtsxGnhkiK9dZbrMyKOt7d3SnU8f/pEcolWGj4mXIjEMBFjsvzIlmkqbFs2AVUMdDWMW2mV1hs//fgj8zLhQ6TUTtldF8OdsRZrUD69PPP+/s5WMrmeWVFnnXXWWb9FlVp4u9/oYmvyZayZDsEN3Lf2jnhnrr1abF1KiSCC9k7ynrwPvHqnOUdWZWsWtwLD6KKwtjtTmmxeOURD27rZIO6+kouJj5wUaoosv/89ACEGcI6QN+LAkKYx0Oq72MgJHk8K8cDAvzw9MadE3cpHVnNTmlYT7Q7noqrtUWpvUArBe3xvlHXj848/0HtnikY4cGB98RH/ErwjBg+5Q+u8fv5Cui6EPiNuI9fCPW/kzUgJbs9bDHZbrRRElSAOWufty1f6EG5P02Q0qVpZa2V+vjJfL4QYyTnjdjGv+8j2bNot6qQ02kDr7nOMGCOMGJO3r69s28an7z4xf/cdkiyrU7vicDxdr9ZjKQUFXl9f2aqJyqd54vLkD9PVPM/knLnf74fp6oiGE8HhDsz6vgfbMbqPs5DH/O6z/nydQ8hfKOf3HEjLiNAux7DPBmiV3itdqyn5aqXWhuCPCb54h/cT0zwRow0sc76R13e29c52fzX7tnS8dzhvSsxluZKWBXDkXCE43AjBhY/p/KMyYH+zh4FT6w9o1Edn4iMq9cNe/IF8ecSo7vVzF2J9+FACBwN5D3H9QN54wEFtqHAoTi0Hog/siikjnOMY7FZtpizUPpykO5sbu+COLCxg5HUZbk6OMd0YiOJA7L6061B5dNR7DrbpsM0jpnDwzo2Fyw5QtcpQWhhSzdwUlhvhQzDXYvDENBHTRC4ra97ow8lyv9WRAeKZlysxTkzThRCM7d27NUSd3xnTgnPQmmOZF4IPuG2jtnIcas8666yzzvp1Zdd7T9WKtk7TjovR8hgBhwlg1AvRJUR0oFVsCBm8hbq33sZ+oHO/r2w5Gzp0ZDntm9XeOjqyI5yYg3HPet7ud8q20WvBmVEREXj59EKaFstELNnWud7I6w3XEqF1nG8mllJlfb+x3d+pJZPEcqoBulbDtvJAQXCeJh9kBFVFWzfsyZ7l5AIaHME5vDMEalNzCaKKdMOIuuEgiQpdAOdQ5ylD/e9bQ4MpOp33tv5vGwgs8wyq5LxStw0Za7L2jlMleo+4wDwlxHlKM4FOCN5cg4JlSIqz+1XBp4STcbChD+qCoN1EW4oiqnhs39NLo7k9A3Lfu3kTT1UbQA6VFDRhrRuK7fNc8EOU5I5htWCP6dhrqf3+nXQ79KLU3gd+Rym14v3Ev/7X/5q//7v/5Z//w3DWWWed9RdYdpbVYxhoDaK9ObSf7YfbvSneBXzwpIFezTkTfBxr5jgfj3Norp15nvA+DIxpIEZrUu0C4R0vmrfCcllo3bIQTVxr9/t+uzHNMyFGrs9P5C1TW2WZpm9iTvbnszfH9qbXHjtiQ1LHbTgZnp6uiDi2bT0aePsZPaRoOHiBWiraO9MgPMnTE1+/fOHz58/HbfsQUBWiM6F1cEb92baNP/74R9KceL+942Ng21aenq6HuHnvD1yv1yNbaZomVJWnpyfmeeb19ZVcM+u6sq0bwUeWacGJ44cff2KKyUgRrZOmabxur6hYHlZrnb/92/+Kr18+8/mnn3AihHRhSleWeUa78vnrF1SFaX4e4t+A84pied+KI9eCehs4tgIS9qxwDLvXKpdlwWvEV3ObhuBtOBknpuGieH9/H25PPZqWMsRqZ3PyrLPOOuu3KYsZad842WIIFo02KHn2vYpIPHrW+7q6C3lKKQeOXETwGG7VTCgmnEkxAo7eKt5ZL7mWQsmZNjCcqNJbQ0WIxI9++D6sGlJUGevqI57cu+EMFPA7rbAU3mqjtEppcLleWNKMG/mJrVa0NSPtqFJyQZwj+QjdomPKasKoFjIhBKaYCA/Dsr0v4MSGkNob0ke8W6lmzskZ7c2c/IMQ1VpjmWdenl/wXeht3JeuKNjarEYCOIxJY/9wYFBHtmMtFb+TBIpFsdA7OrD4McaPLr8q27rx/vrK7X4nhsD1ciXGYPsrrKeu7sO1+YipL6Xy9evXIUz6diay92z22t8PrdksY58DPWZ+Phq+9j+7oeusP61zCPkL5QdGI8UZ52wQuW2G3tgzHVU7tW1jU73nR/ZhhwZJHtUKZv6l1EJvjbLdyPd3tvs7pWSMPBoQmQbLOeGGQjDnClWZF3d8UB5zG+HbQ4n3Hmo9BoZ7c3FXcD4iVh+zLfYP6c+/93jwaa3RWwf91pW5/5tdpbnf79GMUzOHi9SjWdpaJ/g4PsTFGnEDzyI+oIzhIc4uQrjhSB3oVhVr4HZDt9mFBjyCqjUmZSBfoR3uk6ZKo1F7t+Fiq3ugpD3/rgOla9lMqoAEGxhqG4ZKN2wUDvFC9B7v+8iidMQpDmdsI2dD2XTtvL++kpJlfno/LsytmSI0GrLXPaDY9iGkd45tc7RyXtDOOuuss36LKrlQSjbBiNqxoFdbo7zvlqUoe+ai5UroCCF2CMFFnMMOOTLWl1YpWcFX5suFkCbA8p8s2JkhjvGo60MYA35gTomBGNwH4qsUvB8DzTFksz2I4D0Eb6IVVaE30Fpw2m1oKAJiApwQDePmYxi0gIE0VQbi1Nnz133tExCPc5ZpfexpfEDCcBLKLvkBDdEGq85cj33gUrt2QkyEmMyFmUz9WZsNBp0CI4SeZoceVTsI+IHAj96j3pIbnUAfpo49L1qdiYJw45CHQ4hj4IphXTugQil2EFWaPX3v7PFoo2tBvKFnTfg6UPCtobWbMAmHynjNGRmQh8BrP8zZ1/Xh74ge77G479sGfm83qdTe+B/+x3/D//y//PDP9RE466yzzvqLrhhNwPvYSHIuHGc8EJx4vDNKjjnzw5Hpt8dgPDaW8tg7RO/ZtjwGTctoZmbgURnP+G9YcxmPKQ60azNxqfCAYPWk2XIDc8n45g8MK/DN+fpQ6I/mVyn1yKK0M72dyafJhqJgrkYRx/Pzlbpt3O83c2L0ztvrG2HHnYXAMpyWpRRKLUyXCwFnxCVRYorc1zvX65VPnz7x008/jfzLwu1+Y1kiIhxo290pChzDyWVZjiEdTkjxzrauvL99Ia+Z6+VKa52v2xtpiHff7yuXZcYFuKSZ6+XC//wf/yP/5t/8W7xPpHSB3uje1vDWhN46l8v3lFq4pHQMZJ0P/PDjj/RtO8RVJqSC6/PTsY9RVcQpbuRB2rbIBOnkTuuN6fL8Z9+D+1C61srtdjszIc8666yzfqPqqtRBPNgHXXS1fjUjm/EQ2rajT33kKY9S/RiUhRCQ5mkY0t2JxbdMKdr5X9xAjwpZ1foCYphUYRoY0ESap4O+0DWzlUIZPXqLVVuPdXpHh0bvcQJ521hvdz7/9Jn7/U7OmTRdCAiLT6hC2TJ53dDWccHIA2XbzCTjI7Vkai60bPTFBtA70hU3zTboDEZsDN6TvPXBe7F4GBsEWpDL3ve/zAs7Yr23RnCe5+uVyQXe397Y1pXX11ecc8yXC1NZRgSMsCwWNZeGm9GiTBzsg8g6iIa9k/NGkA+6oht9Ch3/vd7vvL++cbvfuS4Xy73M2bIxfaChbNmETbfbDTAkfRcMBzuMXY9zkn3u8WioetxvtbEX2H+2DGLVPlt5FLvt3zvrT+scQv5C+fFG8iEQdjfknjsowGjYtaa0tmcGjb6eDmxXL6ybUrsdDMY3afcbdb2hdcWNkNsYzZZtSv9Gz6aQr13Rmg/U2z4o3Kf6+4Fp/9DEEJCBUIHBys6GGX38kPRj0PYQ0vswjPv5AecYTHbLoXr8mUfWNXwc1o5QYPEIAULAS6WKp0mh9d31YaG+hh/NaDP0iaHxxoFHLWPTbt8hOFrrtDFYZCDWbPDZ6a3hEMO8quVa7Y7I0hpNjSVdqwXt7nFUO7a194YoePH0YHlYqntuU0e6EKKg2g5XBU5QUUI3lUd1jSCNFjtd4b5meq/k7U7rd0ot1FLBy1DPTiMvww7LtVZEIfmIS7Jn7J511llnnfUrqw9RTd/zADFHgFOh+ooLDY//QHn33WG/l6LV1prWdDgcul2mVahVcV4RzxCoGCTBSbMBlgqiDqee6D1pnjEPouFHamvkdUPEEUWGs8/uvWybreEdvFNQR2/2GEVl7F9MrIPAvCzENIHz5GroclWF4I9cBxE31jFTJ6rzdGf5FNobw09irkM3MiKxdVm9M9T4vm8A8I7FB9IyE6bJHnfvbLUgXUneI0Ar2dA4zpGWNLCsxbIwBpGiq1LWd3xMxJRQMZQpYvwDcYJ4QZwH8aBh7B8GRt7mv8dAVdSGtE4dos5wdQO9bz8pJpxCoRVoQ2Q00O4u+COXEjcEUYzB7MDzyvi+iLNsEK84MRWoDvx8bRXvrMHc1I/9lN3lWWedddZZv668D0djKIT4QSxiNMBCJKW96dS+aTAd+X67WDR8DDRrTZZnPM7Pe/Zja41t24APce48zzjnuK150G8EZpgmG8rlvB2K+r0x1lqDKoc74+f0oZ/HpdRamcb9pGk6RMdTSnz+8sUceM4hQ+FfShkUILitd1KITPPE29sbdDvXNxStloV5fbpy34qRDIrSRUnRm+i2V376/CMxRbo2Xi7P/PTTT/QemOcLl8vTN6SlEDZutxsheLat8Pr6Pr5vZIRlnvE+crvdeb3d+e75hdfXVzvrW1uA2jt/+P3v+PGHH7jd3vmbv/kbfvzxR2KITNNoSGrAD0dJ6x0XJtZtNaRbskF0nCYawrreadqGM8PRxWgFe943AqXmsS9xOO9wOvDuYnlRpVqDOYRAmi2HstTK+/1GSonvfvc927axrts/3wfgrLPOOusvuNrIQGzoke+3G2fcbt5hN9g0hG4CXlHQ4STsdu6sA6Xam0eIdpYeuY3X5YIXoWWjHHTaIBw1EyuLQxWWNBGnZFFcoz/eWqOXyn3L3O53y20umTTPLMtCSJFWquVZpkQYffFaK6+vr7y/vVNLIcbMEieWkJhSIjrPHBK3eseroKVRtkxMieY92+1Oud8ou5Ox2n5o/vSJlPwQTjVaL2zbxsJk5+ZSyfcVrQUNjulqg0M/8hV3Y5P14xkGJeuF53Xj9n6zjOmcidtKmicuz088Xa5c5gWHCYNEMBJVa6zjdYkpmRmoK2WQqtIQROGU3oS6Zbb950PAixEg83onxAgJci58/fzF0LC98/T8bAh9Az0Rov1+d4fqPgPZ5x67UOpxWD1NRovYv7fTDnY0/uEofZjXnPWndQ4hf6F2xFopmVbNGWDqNR1utT3E1PAgvXPkPzo/pvXDrrwV27gerorNPtiijSlF5svCdLmwXC6Ii9Yw62qK+xBopRxv9F3h+IhX3evImtgdkeNreybG4+DxceC4B93vg8g/57h8/DDJGNg9fkAPq/LDbavagqB9YNjEI959DDZzBz/+rXP2WmqjtA3VjrV7mzV3W0fE07tiytUwbt9+TzsOz+bDhr3zTpABltttjfbQzIEhDlwIdGcdyt7baDiDE0d05sgs0mk9YWHDw9bfCr6PBq3agNPUqoHtfsONprETQ+8okNJkTszWaTnTm6Fo19WGru83z5Tm4yJXyxh6Hu/JUz151llnnfVblOG/A+0hk9hckUMBpx85gEE8OnBcO6LEXIQPbrmmxyDK+UBryrYV5imQYhjo13EYUaGbqRIQYoqEgSwvq61lfqBGYV9LO71t9JrBC743w4wPJ6R2aGWj1YKj2frmBMUfDdKOZTuW2lDfCd7c996bG9JKcE5sltf7sb7uB4U9X8P54fRzQIiH+El6t/UvBnyIhDThYzSUTLa9TBrYcxHotZkyU2xtt3VYD4GSdwrNlK7OCdo9nYY6w9TrOFB8DACNZLELx/Y1/UMwFfCieJGBTYXgZKRN68il2A8m3fYcanh3L2NP04AdvzIGsjbg5Hj/KIMW6wTnhejiQMN+YPREPjIia2u2nzmX+bPOOuus36S6frgeLDIEarHrup1vxWgDArV+DB13HNfuTvj50K93O/9fr9fhaNgOt9+u2t9V9buL8fn5mW3L5Lzx5fMXfPB471gWO/d57wnRHc2tMEVutxvbZkM77/0Qqn5LInokIe33uz/+1jvbth1uwz3ncd3uzD4wTRNfvnzBO8d3331HCIH1vpJShA55uAhyreRWDYU61rFSs+0VHNzXOzEFxJlz5Pn5iff3N263G09PT0zTxLZ95EFeLpdvXqNd4F2rRZg8PT0fvQKc8PzywrbaaxxD5H6/M3nh6fnCelvHnsnTSuUyX1jbHXWY2EgEdTqEzJHWBKqtzdIay3Ix1L2zvUMdyNzWO24gdsUz+g0DQb9vHlCLjHGw1W+dEz6EB1eH5YHe7/fDXXvWWWedddavr8O4wkOEWGtGD7KfGD3gPzXMwEc/excDgZ3fXAyElAYq1dPHYLDmDM32CnXL9GZ0HYsXM7ekG4+p1Ybz/kCS1lrJpSBVcCnS1bIaBzvQ7ng8vhgCT9cr0QcjDLze2W533tMb7nq1WBHnrKcNI/LFeuB53WjF8i93epFFw5ij5XEfUUph2+7kIdEqtdK3bQh6E1OMhHk6cOJtZB/XminZcLF13Sx7cfTbc86U1gilcEV5+e47LsuFFOKHU1XsvrZs+yJEiGqRNX4YpjrfRsn13rndbqyrCYouy4VludhAOOxnf9uT5c2GytfLhafnZ6Z5pqndrw+BjjvmI/se7xHru4vAQgjHHm3fr/z8/fIN1tZ90CvP+tM6h5C/ULU0ti1TqyIURqzEyO8TnFN6r7RmeE1BcMExxYSPppLf1tV+ppaDnYw2fN7wosRkqv7L5cpyfSZOF7o4VLxlQNllzEZxw9G4ux+Bb97oxxsfjtwKsA/FjpV5HEB+myn5kTX5+OHblZSPhx17cdpwLdqFFPTAhgKj6dePIWSvHfUQnLdNP2H0LROtC1oZ3VjLYpzCtwPM6APq7EdKtxxJFTWFYvA4B1mtOdpGQ7P3ShkXMifOFC/joTkfLPNJHrMZhJyLhf22frg5bL1qeD2u8INd7SglW3Ozt+PCHDXixVnjtjZztfZGV0P9lFYPfI/2PiKmzJF5v99ZbzcbZoYwfi+jqwrU09p91llnnfWblIyMJ+lj/VRHp491d0eNfpsdbKbIMZzsDXViaG+1AVrwDhcCGibKCE6fEse1XJuai5CPYZU9GBtGtdq4bxv0NlwGM2mecDHRulJatwZgV2jdcKu+2kLVFC/2VxkIOBHAO0qzoWpXy5DIzfYs3l4IxJlAyFlQBa20gTN19nWCIWdrRZ29PuLDaO51XExIMNqDtgbe4VO0r3lHf2zsdsvfLNUOQkFsiFuLCbNEB1A1BgTD0nTZ3Qdi+HYFP1mGc3dCFxmDWEWlI2KCov3A1Vql10r0bgw2zQmpO4q3D4GSqOV0iO2rWu/mDgXEKSLWKNWHwy5dUbE13vtoJIXhKD1KOQ6KreWPPYbY8Nj5QHLOhsLnueWss8466zer/tD8q7WybYXWDEtaqw3FLI3DDvq7UARsnXbeKAFmhJdjzXQ+4Ly5I+flMppWFVojBI84u72u5pKbpjhwZMs4F5qAddu2cYYXQgkmdFYTM6eUSClZQ204Ive8yT1zKIQweqzK9Xrl/f39wLt+/fr1EFxt20aMkev1avlRrbLeN56enmit8ccffuCyLEzzZGSIVlFnQqtSMlUbiYlpngy7Wiu9N1Iwio9iMSJvb2/81//1f8P9fuPf//v/wOvrG7WaoCmlOKJHbCCHCJfr5Rgwvrx8otbG29sbtTYulyu3+53gAy8vL+Sc+fHHn1BV/v7v/455SizLhR/+3nIj58uFI795CMKCDwQHr293a8SOdduJsG67K1EIybI/aXXsDxM5F27rbYjAqg0pq2VDqdYx/AUnAaERgjV2t3X75vdzv98PctU5hDzrrLPO+m3Kj66yF+uB02xNDeN6G8ef7oXWC73tvXBGBrRjWzMiu4MtDEKh5TuHyaLSWjWqXkdZt80wp7VCV/zoGuyml1YboTXEezoYDnWoYr33ROyH19sdaR339MQ8zQi7ANcxpQn/LCzzTCmZbc1c57utn0No65y58o3IA+z/v3fKGMKGlFiuV6bhDFVVbjdz5+89cDdEvff7aiS/1uhV8MEd2ZFunIt3wmJvjbxtbOsKqpQt40ToKLkW7tsKxTGjPDnH5Xrh+XJFoiHee63U3tnKZmuyCNM0HUKu3s3cU3I+9gw1F2rObOtKyYWUIi/Pz6RkGd7bLVsUGsLrl6+stxvLNPP0/Gykit5xwcxiznveXt9Zt5VaCk4cXTsll2O2sj9XgOWyHGv4PrT8hvz4s5nMOYT8x+scQv5C5dLx2wa6GWhLoeRMDJ55SkzJAl/7lqGZo87jLAR2ZPdpzmitSKv4ZvbmbbvjXCEl+6Bdri9M8wvez8R4ARdQ5+gotVV6saacH5N9HcHsRwbjGBSGENDeyGp4V9X68QEYB6ado6y9H85MESHFEQ47GMaPqoB9CAl84GZYyTmz5Tt5Xe218Y55iiNIl0N5EXzk7qBj6Fo3GokS7CLaazB8mgTDsLVMcoHWCqJK8N4ajWq/g+Aa1Q2E6mgXpzSTXCD7QhmLgmo0XNtYaDrjIiuOkOJQjHrLkxoo3eiiXXhbG8gVj3ceTzWzvyqtVlyt+BDBbUiw/Auz84OTTpwXfG+mfmnNfo9tOGFVSMnhvR3EclmZWyDnjZz9wPBltvU+Xn8LV7aLYf7P8lk466yzzvpLq6bmsne7C6IpyTnwASem0PdqAycjG8CQISFejHigtsnH+YHkcjgJlLa7HD0yjkg7vVNhrEuV1uvhiFe1AHYJgegiMXiW+cJ8nalq7nkfbTGrbQwae8Njm2fnhVyrNcboOGf5VlWVW21smykXs1rORQwT8+VKjBPeRVsna6NooYz13w3cijN7IToOWkEc8zQRfKD2js4J8Z6tVpoYWt7HBAwUai70nHEjW6P2RoiRuq1s+Y4XRVpnTskGrKNJWLOt6V27EdOL4KLddm0dgtK6M7ytF7Tbeu5rHodCxbWOQ9Eglj/ZrdlcD8fiGDV7obYKCFNKiLd8Da02PK0IalNbc7G2hneK92oR0dqopdIdSIj4EFEg5w2nahQIL2Pz7WgjW1qd0CvEOKHN0SpnnXXWWWf9BlXKyvPz73HieX9/I4SID87cbQNvrtppKvjgab0SgqFXax3EA2eDJyfDaaiDdINwWwvT7Hl+uqIKpd3RVuga6AwhrPcEDFsa3BDGBkcK6RhQ7RlIuI7W4dqkI15IKeFTwK82bFzXFdWGH8282/srKcYhiB5NzuBprbIMlFythlVvFbbVGpW9VaZoaLFlSniBWjMiQh6DzsvTQvCBdd34bnliXVemMLPdvvDy8sL7+42UJvLbG3kraDQs+r/7d/9P/k//h/8j719v/N3f/R3JJ265IhJ4e78TY+Rv/sV/xT/88HdsuTAtM/f3FVVhni98993M/X6nDhwsGDY2l4yLDufh+a//Bev9RmnK8/efDANXVhxw/e6J1zdDuD5/d6XVxt88P/H6+oqKZUO1Xlk3GxbOy0LtDe8da1vxAyWPF9Z1NdFz9GzbyjxPg7wUCcHRauP6dGXdvgyhs+P7774/MiDv73dzsIqJn7f1PMufddZZZ/0WNRG5uMTz/IQ4QXs3UStKCEbrcV5MTJsV7ZVxfKbWTgiRp6cXnAsjHiPx8vKJZVm4Llecty7witIUqgjVB4pUOhBdIPqAB3qtSANEKasZmHaBbnfClBacT2xlM4T3tqKtQqsESzih18baC9F7pmXBhUCIiWUB/dRHznGje+tT3GuhOmg1M18Wi3YRE0iXXkmfXniZJ6id6By1VF6/fDUiRIQ0LcxLJV8Lpd348vUrPkQcnZeUeHp64np9YssbZbMIsm1dud/u1C3z+vmLuQoHUbFrpznsjzaelomnTy8WK9c+KJKqaiSiKYFz+OBJMY2sTSMqifc2QMRIkm3L3N/eaWuG2ojTTECsd+KUKLB9eePz+zufP3/Gec/yVzO1NdaaQQQfAi6Yuerz6+vYG5nAuHfr83vvuVwuxCmRayHESBqZ4Tu9Yf+ZgzrR2iEU2weVZ/35OoeQv1Drug6cpx1QREc+UO/U0mn5PnIjKg0lasK5eWBU+oEH3bEt9t8V5zopmbpini+ENONcRPHYzGyE5Yqh1Fw0BKnjA7+63y582H9VDS0jKkcexf69Rz72gTdh52P340OTRlj7jkjZb/ObfEgRXIz0bkrPIkJXG9xtayVGU5zstnjo+Bhoaqgzux1TIHjnLCB2OAuGZpQ+hna9d7N1+A9VQfDWBm4yXBUKdHDiiR57Z6shXXZn5qMawZ6zZX94D2iwzCYvRzMZZygWGYoOHwIi9nhEDNXmvLeL5hhI7oNbeqO1O+DAc1jKne9sW7ZsSmwYm6Zkh+HmSdFTUjzUpXVkgqkqrdeRPfVP/74/66yzzvovoWottJZsYywBHxTF3A0yEC7iHNEHaq8fJAH4cLuBNadE6Gr4z6rdUOojgwlx1NbGwNGyFV30JJnp0aPVMbLYIXRTTNZGr53Ymw0WneUglWpNs+BnWin4cf8ind46Oa/UVocajwNFE7w3h2MfYpgQSNNEHBmLzgm3deN+v1O6sjXbhKeUmGICOIQ/RmoQ2nCM9uEsCN4TncdHIcSED5bHdH9/J+eNOJawWjIuBsO4FEPTexHQxnrLpBAJIQKG01GU0qu9pnjoFWmGS6212kDYDcxea8OJGQ4kvvaG7oKkQ5ikttca1IfW6jF0dM7RxXBttbYjP1NbRUNAxJvqVA0H78TIDg7FOTCwQ6VVZ/uebtmWop0+cp117CVq68zTQkEt01MVzxn/fNZZZ531W5STQMkV7+0suG0bznniHFnmy9Esqr0xXyY7f9VKLhkQ5nnBD4dA7RaRIeII0XKIIILC29vtEI6KOC4XG0pu22aENW+5hKV8EI32mJVlWT6cjTqiSZoidJyTcfZ0xPSRO/T+btSc3/3u92zbytevr7be3u9/gi7bz/R79Mq6rjiB4Nzhyuu9H4/n0SGhaojyEA2BupN5YkzUajjaZVlwzrGu63BpKiFG/of/6//I2+s718sTz08vgHBf74i39fMf/uEfuG13rtfrgXfbz9l7lmZrjdvtRq2V5+dn4jgnxxhxYvsaVSNLOW8N1poLbfQeljThg+f99s6np5eBi23kvH3khzFw796N/zVyhR9C7BgjSD/ia+z3O49cy4Bzia9fXwnOs9UPfBtwYNx+3rs566yzzjrr11d0nuA8QZxhNg9Hozucgjsh0GKz4gMVwSgE0zRxuVyO718uF3O03zbrww/xrA4KUJxsjVQfcFXp1fr8DojRhMy9dzRX6NjPs9MHHZGEdyDd8iS9OBgDsFqHuWXQhnp7WDfGXkBG7FtpldKqufi7URi990zzzHq/ozESnLdMRQRpne2+Uub5cB26QTvU1vm6VQhm0BEnuLCbnPow7HRqM3dgyZm6bkiz/cy6baw503pDguf68sy8LDw/PxNiJJfC58+f8TEgIeBTIMSARD/gBYbMrbXaWdj7EWHWUBFCN/H1vrZO00TwfuxLYF4W1pJ5fX1ly0Z9CDGaUGu9G30KNboDDKS8uVsNGuXxwRmRwlv25U6CnNL0Te7jz2PtHuPs9v3LjuE/60/rHEL+QtW80lLECxbSqt2wYChbMXZxLYYFjUvE9U7tijZPH9iXNjbTrTdKzXTt+OCJcWaaZ7N5e4+qqQdqu6Mihj8Llg3hnccFf+Qw7m/6x8yH/Q3/eOg4hoZjgPiP1b4x3u3Ge96EjgvBfh87/7j1Zo1G700pmCKlYLbsnO1nYjMHozelqPdud4gfj2kPoffeoepRbfTuEPX2eo8P+f4Y9uf4+Hz3xzXw0zDwcfv/7k7O/YLRWx9Zn+1A2og37KlzDvHeLj7izYjR1ZSofFxoHl+3/UCy53fYY630UtGBh+36gc3pavf/zSFkV8lKsuyJ3ok7c3wsRPvrmvOJYz3rrLPO+q3KruMeHwLBe3JpppJzntptCNaQkaFwwFmP2tfKJqDdDh2tK136UNvZQLPq2AO0CigSguUQNkdz2CCNXXhjQyhV5ZYLBcUnOxQ0VVpXfOg0bCjJEMywNwslHGtebdV+rjV7njEamsY5pmRuyzQOAHVbWdc7vStVoWihl4a/2iDWkKW6636oalnYqmoYWu9BBcHh981639e8hoSIc4Ei2QZtrdBbMxGSNnSIb5LzpnhslVobHTUlq/OWI1ErXcF1RdThokVoaA8DJyuIDNz5LupSpY9sSycfsN09Q9qjiNoa7bqixdwR27YZntV7vIBrmCCpWUanCrjekGAHNnbkqipKQZwnCDjcIfp6zMyutcJsoN9/+2//Lf/9/+W/H1lT/9Tv/LPOOuusv/y6XK4sy4X7faN3W0eMLFPYthutJQyZ2unN4R3EKeJEyVuh5DvdmaAmRn8M7UQcvTVSMpFO3uy85n0nRsOneh+4Xq/UWnl/f+ORwvkoCIYP0tCe6xhCQMYa1fsumqpAJYRAShOtdd7f74BaP4GP3sDegN3L3JN6DEB/97vf8fr5RwS172HimGmaqPVD6d96535f2bZM8Inb7c77+zufPn2ilHIMNvem297QTSkhFebZHI1fv349dlBTmvjp809cr1d+//vf21q7bmzrdjT93t/fj7P/PM+G1wsBVXuu0QfePn85vrZuK9qNBPX8/Hz0DvazNMD77UbrfTQnA7kUau+EGKyXkyL5Zs+p9U6u9Yi0cR5ijIad1Xac/VsbuVq9k5bF8PP9A7ELHP2YvXl6nuXPOuuss36b2tc67735P8Ya+rie2rX4w6G2i25ut9vRE36sYxC4VdxwzlVncWfBeSRNpBDRUGn3la1YTqQfjj7rDfRB11FCihb/4hwB6/G7EUXSR2QbcESB9d7JPSMKrdTjMdZc7Dl5E+K23nDOMU8ztVbWYv3iGAL5yMMcAzscZV0PQ9L+2qUY4XJBFLav78SY6No/1j7nKLlQavkwytRqw8hS7HzdO2+3G+u20lV5+d33fP/99/zVX/+1kQycYez7iDhxY2OjrSFuF1MLtTVKzhbJkiI6qJDaOrkYEao/0CAVDqS6BHMpKhCH2ct5P/Zf79ajEEPs7zmTOG/Y3oP6KMc+yNZ6w/Ub0jceeZ1u5FXus4haP+iT+95pX+/P+tM6X5lfKNcbnmbqBAv+o1XDnZac2caG13mH+kJpsG7WiNs3/o9DwU7FeTtYTMvMslxIk31AWrNGW+3VlAfeE10ETfhhRxbHNxfJfbC1Hyoep/CPw7p9yAgfH5qfDykROWzEwHEI+HmOpP23hbPvF4A0T4QYqKWybmPDfy+HiyKEiGLKQhsIfjx+pR1O0f3x4RwuRcRZOK8N4OrxO/nGyXmg7aA3y+IwJakY5/thIbJGcYNmGY72+nVaLTjnceIJySzzyMeQdA+e3x/fo/N0f3323AcY1v44maOz93FgdYhUwKEq9F6OEOTWCiIdZR9Mjqa4Zzg0AyHEkQf6m729zzrrrLP+i66uHwcRHY51W+s/1rxcMr1vlgcl1sA8kOLeoWLO+to7TRtDTmcOeu/G/kDpoiDO1JAaEG344ZaTImgzMZKWgovd0J2I7duD0QfwQnCO2QeMcarUurGVineeKSVeXl6oAwFetdHqGEJWa5olF4+Nfs4rc10o20oDcr7Tqg3OLtPCtmV6qdQt42YBJ8SU2LchlplkCtOQFpy3fUDrDdc64jw5Z3OTxmRDOoU0TbReEVGm5JGu9GzCnSk4gheEZlna2fIfQ/S4YE7GkpWmpkYNS8OVjIUyBXy0/Cw/sh3Qjhc7cHQ1Rq6IIzgTKqlTtEGtK1o7rWTq2FRsmwnHlnlhviwju7JQe0bVsH2qHQ2GaXPeQQjgAi5Ee884cD5iD6Ud+Ne9np6eTK2K5/X9xr/7D//R9jd6LvZnnXXWWb+2fvrxKyU3rtcnnp7SMdgCPRDp1nDMyM3W8GVZeFpmykCV6hheMvKW3chfaiqGZAdCdEOUY0yf/dxaqwx3YMUHxzzPxxlyH9w9NrMeXYvvr29D3GMR0Kg9BieRZQ7kksm5GKHIeUSUEOQ4X+73sTsHU0qs68rXr1+53+84rNnmYyQla7hN03SId/dBnqoa4q3tDk9rzL2+vh6P1zl3OCv2c7HCgVLtvZPmBCtM88R3333Htm389NNPx2CRjuViifD58+cxyPXH88gjG+rp6YmaC9enJ6NVdSNMlVwoOVuD0Yk5EZzDxcD3f/g997cbLvjD0eC8x0V7He33aY5I9jN+0Yd+iD48DnPQmGgbbrcbftxOHNlUuztjmiaWZTleMxMtn8z1s84666zfov7XMvg+vm49W8eHu33btgP5/djPDSEc6xYVfAz4GCAGXIqEYEMrAdRXttbNfR9MjLIntzhnIp7WGqVWUjRnoziHdx97h23beH9/J3h/ODLTOE/bvGFj28z41IZAyIRIydbSl09477mtd6MZrRt1yR+uwmCvS2uV9b6yraud6xVaTJASKU2AuQmXyzJMOuaszDmzFSP5de1GdioV1zER1ljvvn79Sm2NNCW+/+47/vCHP/CHP/wB5xxbztTeiGnkaw7xUx+i7Ding4Dkxhl8Fz3nvFHWTFsth5PeWZYFGEJwMWG0OhNBf/f9dwNnjw2ShzFsDoEQR1Qb9nsNaTZR0hgY7iKuaZqOgfWeR7m/Px4NYI+OyJ+/D//XDGD/pdc5hPyFCqLQMq1+NI9KtQtCyTtOxazfW66o7APAQIxhTMHjwKo0U8THgPfRMGUhHjkTpSmqDhWPxyHB4QFvM7nRwHoYCI4NtsOwLb03WrfcKvbh4pjqh4E3qbWOC6OiCNo6XdWszd7jnL0lzJVp2LXe23Hx3hEszlluUlNrlE5hZCNIBukjLDYfQ81aGy45fLD8BDcavTtmtDXLqdjDeBnPy7v04eao327Y9wvAgWMdA8G9HtUIj4NDxvMXVZwTRNpuoUQZzWh7kg8Rw4qPbvz8x5+fX1z2g96O43OCYVydswtua4bJGSjXXWWDKL0bN/xx6NsO+73gQ2QJcSBizjrrrLPO+rW18/2Bh+GQZSGJNHC2drY6cpmds7XT2dogyMgqVFQEvLPlCGe5U9E28FW75UV7Q3Rr28dQJj1REdzYfCPW3Oy9IUBtNmAkBGpv5Nr2HzOXnwjTMhOc4c3FO0Q7jNhn24c4YprGcynUDnVgP/c1r+6Hr4FfmdKEw1FKpXdz/vnoB4rUNvxNoDtGboN1c1Wskde0Q+8Df2KZjbU3vOhAv1RD2XlnqsZe8d5xSROC0mqhtQLacQjTZAeUDkip1K7gHMmb6lR3fJoXpiAjx7uhQ82JGpJV1BB3JgjqhnttDac29NSSLa/LCR1zOk4CUTsyVKCM59SKCaS6d2iKtudKCT9NluNsSd6DoGG/Z7BB7I6mv9/vxDSBRLa8EoLh8XI+h5BnnXXWWb+2YpxQdfz442di8nz33SfmeUKE46y+bQ6lob1QS6HXTE0JERtUiYLDmnG92iBKnBCnxRzxCqizxqTYOTqliOC4vb9TayFNCeesb7CfIff/3aNQ9oGXiA3QYpwIwQZXWoqRfGojeItKiWFiStaMW9fbEK9+CGb3s78MofG6rtRaj4abw5qI+6Asj97Go9h3d1WGEFguF9Z1o/fOy8sLzjne39+PISdw/CzANCVqqQd69gNnKjw/P9N7Z77a3uTz589EMXTa9Xo93JT743jfM57G7XvnmEMyJFytQ/QcaK3y9vZGGig2BvXIOROBlVLMCdEq6oQUJ5r2EbsiLJcFsMzv0ortL1BKzUit1lMZArY0TYQg3NcVrZUu4IYo+dFpEkJg27bD7bKjAc8666yzzvp19RF91m1R+1k/df977xbvsa9P+4DqcQD5uF46ZxEdNDv3e+8MnTr6uH7Ek+jU0K7EFNBqucIhRhMqVxPy5lqIOltnWfahoDkBS86GSHcO7cqcJus37JTEUg+Bjey959GTcLLwdH0yh1/v1OWCANt9BayL7QDpyrZu3G7v5FzQfThaCqlW2+dg69+2XY910nnHljde396O17tpH/39ihdHLoW3tzdutxvzsvDy8sIf/vAHlmWh1cr/h71/W5IsydIzsU9P+2AH9zhkVnYD3QPwjkK+KHnBBxg+xXD4IBihCC9JAjINVFdlRni4u5ntgx4WL5bqNouqApKCzJ4RDvYqCYkKzwg3s23mW1XXv/7vX0thTbE6NwvkzJoT0zwhaCaktapLuBaFY/RarHHldruxLgtlXqEIfeg4PZ3rPsxuz6n11Q/HI4hwm6ZtGKrve47HI977Olxe8CEwHo61t4NiZJ3D+EDfdVvkTuv7p5S2+Lr2uWvDXn+pNzwau/b669rVjF8ryeS4bpjNdjNb5nnbVDvboY2vHrFts6m2XefV1pvTShEIvsO6gLGelIWYCmZN5CzEpM1PF3rA4YrefKQkzRDKVm9WDw4NqtOiTXc0MbLdcPVAY+tjQpH7tGJ9gdVOnbHGbOzjdhMWUVHubwp5UJFnBl+DcZ2zWNtvzVxJKr6uKdHbUBuZudrjbb3hZB3vFMFY0QxOsZSseY4hhO2He3tb6ut7XDismG0ypP3wt4NUu15316dOrzhn8b4Qy/2arrEiU7OKiQYDRkOHrdyRt4/fsz23RxyuInlUSNYrrdfLB80f83XyNUa1t6/rpPkUMdb3UZF7DYnz+Nz32muvvfb67dXWQt2kGsRarPEs60ouspEKEDBFN8dt3RNROGuWglhde0oV2kqBflC8dsqFVAqmFF0DKj7E5FIdcwAGUxLWmQ0vkteFlDPLGhm9w4aAyxYbkx424kpMiSF0fPz4Ee8c8zQzz7NOXtbNdDd0dMNAyXC5Xup/F/ww0A8qlpUqFjZ8iHMBg9E9i3E0n76zFmqT1QB5w5lY1pwVo2o9zhfEqBvUe88cV2KKirav2FnF0kBJmZT0QNT1Pf0QWJeFFFc0S1GF3w1tYjR704poLoe3hODBh40UYItgSJvwqK6GhKSojyuKWylZkTIlRXxJlJSgZLrgCF1HV3HyXQh4o5kPLqs4nEuCdaHkCNZgSsT6gLWKhLElKLs1WSBhjVfUPjpV1iTvliE2L1Gzx7xnXXZU21577bXX71HPzx85n0/M88zt9l7P9PdB4nHssc7SdR6Pp1T343S7EmNWykA/cDgeGbue7DIiikJPca1ClCfnQoq5rluBZZ7Q9l89H6KDQS37sIl2KSVutxt932+CXzu/hqBCnNJ2DMYkci7cbtPmrksp0/c95/MTeb2Rkq4fXddtDgpFrKaah2kZx1G/v9P9TCMWpJoJmbNmPR4OB6ZpYp5nlnnFP3Vb83Gapi0L8na7bS7Ly+XCMAyac5nL5iyx1ipNal2hkp1CCAzDwLqu/Pjjj8zXmXVZt2vUMiJbb+LTp0+ICF+/fmWNkeU2KYYuZ26vrwx9z+l8pgvd1idYpplpUodIX12WXUXjlVIw1lJECNYSc6IfRmKK9MNAmbRRqcNhZXOf+M5p/mWKON8RukBMiePptLlQm9ja3mNg+9qtuiT32muvvfb6bfUoQhoMYuW7r9mHvjGG7TzZRKXH6K42ALT1k2PN+6q/jOj5N3iPxVBQQpA1BhggZ0rOm+EkA7Ksm47Q6h43Jt/1taNbicuKBH+PI0OHfa0xSNH+fyMASNbh2hA6co1TyzmTYqpUHX28XDLTbeJ2vSG5YIo+flxX1nnBuIqXHwbGwwFXzUTWWs16nOfvrve6ruSYkFK4Xa9cLhdSShwOIz/++CPDOJJS4u3tjVyKEgi6TilNpbDGdUOWW2sRH4gpE7mj6ckwTTemmgltciE4Tz/0W6SdsVaJEA8mojb01CiTWMPxeOR4PG7XJ6esNEuBVGPPYkoqTA4DzjqNfnnQEppo+5dExO8Gux76Sm3oaK+/rl2E/JW6Xa/ExZNLVrxZ3UQaY/Cdokv6vtdJxeOI82GbxBNqfmIulDSRJOFMh7M6Gel8p83KeSGrYQAR8AUgVFfeTL92jOPIEEZsdWXoD5bezJSDbeqhRac8Wv5BKQntGbYflkxKa735uvrvQAf7CyIZYywhOKAJkLL94D1Oldg6qWCtJRa94QpKLu3qRMM0TUgSzUJqKLJcKDaSrdkQOKVo0qwKqvo1ayE2u7PXLKZSyncsb5Mya1zJ64pULuujYPqYi6F4nCrsIhRJuNrwNQ95ktYlUtYciJSyYmeLIGveDkGPImR7rPZnRdAGpPSktBKjcqrbf79/hizea6ZmLz1r50lJp1Bb/uN2k6+fvRgzy7JPVey11157/R7V7sm5iE4KZkcshVyx47kUnLGbWxJjtgn2IgUpdXLOeLzzeK8bq1wU84alHliMBttnRYCrG8/oNH7SQ4QDlrnmBxejgqYk+sNBRb5VnQbPzx8wBtZ5YrY3JGfmZaGruUiKL1UHn3MOakayvkCLMY7j6cB4OuG7HkHRrNZ7juNAzIXbbabkzOF4ZhxHElVA7QI4y5qT5lY7r5OC1lCKzhNZ5+pUodX9RB8oNQ8TBOc9JRWsUUTrHBdtoobA4XBQqoEISZQCYJ3DOo/3HUXYEHeuIlh075MxCVzodPjHomictR6arEFyUmKrRUXAUtQZWRKGQo6REiOd93hniMtETlmF1xSR0N5jp69ZCjY4glEMrykJkwVyR14j1npEDOKMXqdStr2aIJRisNawRj0Ux5TAGuZ13eMg99prr71+p2qCXwiecdQ14np7B9Qh9/LtG845hr5njgvWsoljIhOXyztfvnzhcDjw4cMHnNPh2PEwsq6JlAzQ3IKGlAugZ+px7Dkcjry8vBDjgvWGYei/a2S1mqZJs50GxYPFmAjuLqa18+P5fOZyudCiV+7Ow7IN+TYhsO1x3t/fGceRT58+AXA4HFjXlb7vWZZFcWtrQglIwvl4ZFo0VkWMw4UemeOWK3k8HpnneXv+h8Nhey5bow74/PyZruv4+vUrx+MRQTi4A8aZ7bwrl7I5Ba1YDofDdp5+jJcZx3E7/x+PRz0jzwtxXRGj5/81RnwI+C6Qq6Nl/PSRUgrv7+/696wh5oQpisWzwOcff+D17Q3XBYy3GLGknDDOEUvGOIszinY13rFOM8PhoH0eSbgu8H67wtVs79cwDJv4G2PcmpRNfN1rr7322uu3V4vEijHiO49kwYmv5+mCyRmNWoHbdNvy/poQ2daZhkpvGZOlFIqpMRqlbAIkRShR14cihWLA9R1D39E7HVCZq/M9Jo0o8b6rJhNdw1LWHvO6LBuO3Ff33/vbGyJScwr9tgbmlIjzircWbx3Wq3twut2UqOADQz+Qc+Z2u6lwWEkLaVl5ff3G7XKh9wFvHSlGbvW5tAGZEDqO5xNumrQ3UGNXvnz5wjxNlRIIU6UeTtcrt/r4P/7hDzw9PX1HILhNE845np6f6YaeOSZi0tc89oMiU5dVsy69mnSSrKxxZU6RWM1VQ99zOh3ofKAPgfF43M7jt/eZy+1K6ALHw1EHuFNkjuu2X/n48SPBexV4U6bEREyZ3K2sKfH67ZXL7crT8xOnw6EOjcmmU1jnWOK6IeGbzqCofdUr2p6l9fAfCY17fV+7CPkrta4r9/OBwVidZPQhMIwDx4M26ELXg+/xVZS0VjevMUZu1xtd5/BSQ+KNq1MY6pKwxldutD6Gcw5KYZ1Xcokss2NdZuIQ8b77DtUCPGRbsKnx7bDyiCx9nKyEFuLbkG7CuqykdL/xPvKNrb2jTZsotjVlcwZ04iLFiDWyuUVaWHwpQowLzvkqpFJRo7mKn6XayNXVqeja+2tsi8Oj0xDABMWlJOeJ00KpCFPQ6ZCWx6guj0c+s4CVRmHdHqNNvxibwZptAlNEyJL+5g2lHQofp1hEZBOiRbiH+FZru9EH1MmbenPv+5EQMiF0hC5u76Nzd0b1sq7EmNlrr7322uu3V1tT1nXBieD7XjeQKSEYujpRV7KKeqZmQ1MEMXp/78aBgqgYmcA4i3dWsaFIXT9NFb2kZhYYFaik4TktyzopQSF4SlqhOPzmgkjEmrPorMNVvKoUSHElZ2HJSddUo+uKWBW/UipkWasz4cDh9Mx4PIK1zGusDTaP8YEsipIN3YDBE7oe4z0OwXpP6DvWmhlpnFO8bM6kAsYZHRzSqErVPsVo8Lx1dP2Ao2BoiFYlI2TRa0ZFnYjRTGbrAyWVmpRcG7vWUoqpGZ4WHww5VXHPW0wRjDN1QEqgZk5bqdQFBCuVBGENHovYgIglSybXRmYpKpJ2Q6DkTMlF6RdG12udPo1I0l+IYIJXClBDxTqPc70e2OQB7l7uE7oCmrEJPD09Ma8rzrt9nd9rr732+p0qxgWRO3pMcIzjAe81h3meZ5ZlJsZEjivBe4zJGKPNux9++JGcMpfLjZ9//gVrVdR8fXvDB41XUaefuaPLXdD8v7SSkzYnMR3zOmljMsZ7LmGl/szzrGLgsuh6PQzENZFSrEO4bnNwfPz4YaM0haDDz+s619gWPfN/+fKFZdFB2I8fPzKOYyUdPJxtK2Gpnf3b+qeNu1Od5Dd8+PCRcTywXG4cDgcul8uWY/XDDz/oAFR1HrRMyZILb29v/PTTTxuWzHnHZbpw6A/b37stV7YsShwvX19wzukAVEr3ZvBDo699jVwY+p7r9YrB0Pc9cV1x1d2YS8HWASB9PM8adc3u+x5T3Y+2FIbDyBojuZQt1zGnQt/12/VNKTHP6qxsr7f1K1p/pg1LN8G26zqAbYi8NSn32muvvfb67ZXqWphS0rMgpoqLVCKgnuV9UDd+65e3daatfW0dbG62tjYqq7D2zyuavZlSjDG4Tp3+NigB0XqHyxqh4rvAUL93qYaUfhiwKTFNK+uysFQUq+sUEy9F9MxpFfGOtaQQSN4jNlGqwz/HpP2K6tJsdIRpmpiniVwK/dBTkiJfuxBw5zOd9azzXOPglBa0Of7QYWvjHFIHaFKqsTCiA9gGWGu29Loonr3rOn2uaA9lmiZc8HUALHy3jt9761ByIa6LCplGz8TjOFJEiHGFoOLwcRyxqL7inVOD2JJYYuQ2T2qCGgaGcWSep6oJKIXhcDjQhaDtf2uxxpBi1Lg0Y5GoVIuSEnFZuV6vuKAROSLCvCwUKbqfKncTUsPFP9IX2+en6QF7/e3aRchfKecdXW1KbhhMYwhdz3g4cjgcCV2nUwpBxch7BiSAYG2HtQ33qRN4zmlDzVjBeuqhQAW69kO6roUYM3NcWJeZZUr0vVqP283x0Qr8KILpD0Pe/n/LQmgiGzQEWL3pNgdiTsjyPWL0bwX9/iXmtMidVW2RmrFhH34QVVBT8LMKn018LNIyGc2GkhXR5mT74X1cFL5DsNavhS5QYkRipJSICNu0iZU7EFXv0UXfF28Q0cZna3Ja6xTVag3euE0ABIg5bte0vf7Gh25O0UdEq2AwRp0i3tQcMYG8rup+qaG41uriaIxsz5GtXWnoh3EThcOqeLq99tprr71+n2ouCfMwaYgxuLoe1/EVrFMsqUYQN5imVLyLbtqdNXUtt9yqEwDjtmEfqFkQRScyKXenpLNeH9M7zZ7wOqB0PB6Yp4l1mXWoJSZy1oZa1+tgU1pWUkWyIEbpAc4hGJY1kvMCxtH1I4fTWTEpIkolWFds6GpGtWZcuA7AYV3Q/EsRxbB6DzljLHgfEGO2gSITXM2yLGD18V0dRDLW4rsOKwVKxG7Y9EgxZnMwYm2dGhXEWnwfECylwLSsBN9RgJhFn4MNUPMmdd0vmJIxqLtUyuP+QrExmvvU3v2GtRHNgahreEyZzgcOpyMILNNESXcKQoqRFFdSbUJiwRQ9fKUUiSkjrmPswKDrt2sNXgpG9JqKAWeNZoF4PUCmXFoU9V577bXXXr+xvLesUTGfGMGHlk/odOr/GOi6QQlDqceYezaUtQ5nPf1h5HR64v1dkeZdpwKa9VYRpO+3mhesa2PX9UjpuV0vLPOsZ2/rFOFW9xyHw4EY44ZIbU6M1iBtTghjDJ3rsEYbcOu6ENfEMPRgLNN0xXtP6AKX94n39zcA3t/fORwOnE6nTfi8XC4cDocHNJyu4UrneWwUCsuyqIMiJa7X6+bUcMZuTtHb7bbhXv9yUDcmpTZ9/fr1npEUV4IPfP36ldPppOJttFuzsIl0IsL7+zs5Z06n0+ZWacJtu26HcWSe5635utZrGbqOrusUt1YHh9QRqq+/G3rtj1RE+7wuuJoh2QaEsGYTbttrWyqW7vn5vA2cW6vo23EceX193bKnmkPiu7yyWintIuRee+211+9RqfaZSx32bfmIbR13WSk2rp5Nm4C4xXzw14aX1oMWVHgjCyap6GesxXpXSX6mxoQIS4qUKlDmkpXoY/S8nuUuUm2ZlNbp2lkR6s45NdGI4hGtUaGr815RrLnAqhmLihSt5MOcVRwr2oN+fXtjWRelJ314whQhr1Gdh66j9573lElrrGYas61PqYqZ1jtklm3v0NbSGCNxWZhuN641J7JRIJuY2f6NcXZDsaeUSFKIDz3zIpkUI3FZKUnzOot12/CO7zvCQQeyOh/0Md8u3C7Xeo0Lt2VmWReO5zPj8aBC8GK23Ob2vpZUh9Dknrnd9z191zNPM1YMnVOHaK7Gqiza6VnjnVDojN3ew/Z+NqG2DRc1E9Y+bPSfr12E/JV6fv5I1/e6Way5R12njseuH9Ql4LQBZr3DWNS9uCysqyLGQue2G6FBD0PeB5JEFNiChqrWA4hmIBZ0mKAwzzfFq6X3imC9Zyv8JZP4cbrA2sYv1uyLO+9aO5+KWW0fASF0TvMi1paT4bZpwzZBqtkJgg8V79aaqJjtuaxxRSgE8bXhJnojyAWy3rxtzc40RpCc1SnSpgVqY64g372ex6DXjY/d+N0IuURtaBadYiylUHLG1puZbAKfNh2tWNoZIEsVDK2rjowqHvr7NbbFbIegdqNuGZRtkbtPPdjtPWg3IkXr6ORry+VoiBYiFEnbe5HzX+Rd1vcaDH0//Et/7Pfaa6+9/puoaZ7oved4PJKLsMZIXDNhHPVe26btjaVYndqTUlSMbK72el8PLuC9ojZzUsQnBaxrDgNL8F6ZpcDGL68DK10YNCshZlxzRFLUnZEFZ72iQk114hWDNR7nQCyQow74AM4FfPDqMixClsiahWAdSeA2r+Acvh8Zw0AGrA86/Y8hpgwosr2yBTB1T4FpwzNumw5VZ6e6DsDgfMD5gPUBSiIVzcegiL7WYSQEw7XmUluriHhvLXOeSCXp9RoOGCzTvECxFOPreu7Qddaq67JeS8sdA2steGcrTiWyLhPrssA4qnPSWby1mlNpYJVcBVco1lCcirlpjcRcDyRFD4ZxXXWQqg4FGSwGixVDFKm50vUAJIA06oHO0hZrKTgwSop4en5iTfDv/t2/wznY+5N77bXXXr9PrXFmkMAwagayCBgTqnsv69phPK7zhHGglPRwpqtRUMZyOJ45HE/M88o0zby9vRI6XWs+fHjSifl5qcNCEWvNJjAuy8w0z7jglaZUMxN9dVG2TEjtAdxdhdYack6UEnEV6y2SwGTWOG/Pc5qvrOtKWVUk+/TpEx8/ftxwoO0c+fr6+t20/lLpRgCpnmFTShuq7nA80tXzufceh+H6rqjXGCPn85m3t7ftWj/iy/q+J8+ad9lwq7lkYo6kcv87zirSTh4ep7kIAb58+bJh8h6zFruuoxiULmGsZkFbS5HMsixKhKj9jBACp/OZXCBL4e39XR0VITCOI51ziDHqhlxX3t/fCUEjdi6XC5fLhdA5Tk9njueTDjXVBmWuODvvPefzeRNI23v7SKtqr2mHse611157/T7VerVbz/bB2Q9srv/HezGwiWPrunI4HL5DnLeerpKRAKvuuVnAxYgJKrqZUAeZrSWVwrwspBhZag6k9pM1Y3IYxi2X2HvP+XTmNI5c30cdWkmKZ031bGmNofNe19KcmcPMBFVw1IHVnBLLPOvzNgas4Xa9boNGy7Jw6Ae6ruM9JdK84oaBLgRW54gpqbux9p2TCKFXh59YQy4aDeacowuB+Xbjy5cvvL+9E9eVftTv3QaEQnU/bo5/o5EvrCt4S/FBH6+IRrTVA28zWYlRd2TwnuPTGdcHNXtZqzErOXO7Xrler1uECc7QHUYEmJeFJa4kKRhnyUXRtHmNG/rWGMPpeOL5+Zm4Vjdp0ccMIehjxUgxOhP8iL23lVr5tzSY1tdvhq8dx/qfr12E/JXqhhFnLWvSg4izltCPuDrJWLAVs6WW4Zz1h2NZFkqRLXdRTQRm25BiDVbUeaEfYChFyBScq049Z+hCh5SkTatiNgHs8UDRXHLtF/BXX2/TeC1joYmiDcvylxbp5qAENozIo8vPOUcb1jfOYPH6/xWUrZlOD+hXYy3e1YNcaSJbApq4qE6RUjEyuBq+a75/zY+vs9njldOdKXHVQ0EVWJvFRMj6e3l0eJratazZDQWMqWInKiYbWxC5L2Bwd2S2atf58b/re1AIwW+fh3bdm3Vb8TlhEyL1M6PM8HYD08mWevMytdFrzYa02Wuvvfba67fVuqzkMeMDFQ9aNJOgro1iDEXQ6T7Lhg8BsMZuqBdjFLeaU6nIFnW+xVyAhBRFjIZQhTIdrawh91adeJUUrqJnbX4iTDdtNHbO43tP7wNSim68AWMcLgQsGiqva6/FGK/ZVgKCw/mOjB6SDDoEZLNiQ41AEcOaCiKGmDNiwBuP827DhmMsWFeft65J3nqMqega0PWqiqG5FLYV0mgOtBg2dF0IPbmPlHXRvw96YKsOQkwVGZ3HOg9WRUgXajantRhbm3zGIpVCUER0D9EGqHKqQ1yFGBXV5oriZkqdYhVjdW9mrOJuxDCtawu6xHplzFrAdx0lJWwVOU1F32I9tkh10XrNBq17jyZam3qN2h5HjGGeF+Yl8X/6P/9f9N+0a7nXXnvttddvqpQj1+uVrgucTueag7hijMXZ8IBFhXl+xzpdZ4G6lhqulxuv7++Mw8j5+ZnxcCR0gdfXXxRHVmNKvPMcxgPeB9a4qpiYNFvxMA6ItTq9f7vx888/b0Lc8XjcBLzW0AOQkjZMa85pE9RUoIQY1yoC6jnzeDhssTAtW/KxX3A6nZim6Tunx2OjtjVk53neXJnGGIZh4OvLC4eu/663AGwuyPYYzdE5jiO31+t27k0pMR5Gvrx84Xw+b8O2NlgstrpAhNPpRAiBaZq+G+JtDdUYI33fMwwD0zQxVjekVAfHPM/4Gp+jqF1tPHrvOT2duU03fPD0w0DKmcvlsjlZstyHjJ13vL+/b6+/63UA/Hq90vfh7rAo9+vYrl/bQ7bcy8c8yMff99prr732+m31uMYZ+9c0v9aj/st+eesvt5y/Fl+24b55iCWr/WON2IqUSchGcH3H8XSiG3pAsxLnaWKZF6Unhg4RtsEeW/cA1lq6oaczI8EabreJ6+WyGW0ece1tPXH1dbU+vQ+e4MM2bHS73bRvnpUClGNiulzpXdC4kPp6m9nIGO23O2NBRMVCw3e4+NaH996zzDOvr698+eUXUkp4pwJpoxqEEPA+bGsfyWwCrQDO6HCyvj+CwWgMTRUmY0qsMWJSYjjokNZ4ONJicpZl4XJVJ+QwDkpYciqWYiDmRF4j0zzXPZIlZ82Dnoz2SGKMDH3PcTxgjWGZJmLtp4QQOI4j4+mEWM2YboKxAH3X48wDCfJBeGx/r30em1ax19+uXYT8lSo5QnULhhDohwNDP2izyuh0gDqmNfMQpGZBZoL3dJ3Xnp2AtX6b5Es5UWguO/uwcX/cpBq8dxhGgu9YYsa79oNrthullObyu2+CHxGqj7mQAMsyg1E3gveu3mQ0xLdtqIFNCGsCWrtx3pEipjYVjeZcUptmIuQUkZIxtNxDcEPA1Ocdk6JbU4oMw1BvcjWLSQzGme0G3a5He9xtkam/55w1Z7G6F60DMLgq6Elt9FIzG9oCham4FQxmO3SgjVlT8Wyo06FsqFaLswZr7tOMilS5f2/q9wQVMR9FU+d8zXkM+NDRdX11uWRC6OvB70aKBaRN4LYDi77+aZp+z4/4Xnvttdd/s9UC11POFMAGTwg9YgyplC0QPiO4zkIpGFdziaw6IHTNy6Q14b1lHEf6vke8ZV4X1LFnMGIYrNM8ChFdt7ZfihAPweOMZ81JpzYthNBTipBKZlkjJStZwDi7iYHeerKFkgo5ZRXkbN6c/cZ7xDoNn8cwDiNiLWvMpKR41FwK67SSRTDOkooi5wY7Yp1HjOZcChZRqCgWi3EOJxbfBUyurhJfXX6iE5YgeKtuwVRUXF1TQ8Apgi2mSEHoXEXZZWFdIzkLxnvikqsGavUwV9FpDfmaKz0hrwsRIbCwzJMSEYyh7zrGoWfo+03hE8lKahCwXQdonidREbfTvHAcjwTjKD4rCqe6OZ1V8RhzF0SLsbhUwLnquCnkEhHTk4upgifb47cJy7XSD6xREbRUYsNee+21116/rT58eNLswevEy8sLAMMwEnyP6z0gigHPCec8Xd9hjNmiTMZxZBgPvL29cZsn3i5vgOF8PPIP//APTLcbIhDXlXlZyaUwhsDxdG52Xm8AAQAASURBVOJ8OrMsCy8vr+S0ErYzr57R13VVSlIdELZVPOu6DmOoz8nSdV5dGLMOrwbv+frllde3N/pu4HQ6YY1hmiY+PH/Ysgsvl8t2hm57k3meVThESPGOD+u6bhMXp2nicrngqxh6uVyIMfJmDN7p4M+nj5+4TTeNYqmuB0W7aTlnKRRe375pg1cy1lv+1b/+e6632zaYazwV96ZZ219fvuKdq+JlrOfrrmJRM7fbzOXyzjTdlGKRImPfkaI2A4/Hkcv7hb7r6ceeOGvjeIlRs7geeg7Be46nI+saKRRuN82ntM4xzRMpRboukEvicpnpe31fGhmplWIAC8MwbMPHdzfrfaC59VjKLkLutddee/0uJe1sBdDoBW04xOo5lXofFu4CZPv9kbT3SN8zGFzwG4Izo0Jdzpks6oDPQN9HjVBB40niurLU4RPvMjmpyzEuCyUlsNVxSYAq9jWT0OPgT1ex4iEEutAR6v+fqxDmrOMwjpxOJ758+cJ1XfX1GkMxkJaFt7c3xdAaQ45JiYOloMmW6smx9ZqVrH2DXIeqWmRYc4S+Xy58/fr1Tm7olDBwfn5WES74LTuxrAvOOzgelQJlNYvRO0OpEWXOQGcd3jmWZWW5TazTjXAYcfW5xWVRSlMuzNNEXCPWWZ6ePyi5IEfWnOh6HZBKD3RCYy1SzWERcMZqH73o+vz+/q77utvEGtca16K4eVf7IlLX8FJJUM65Tch9/NWyL0NFujf36F5/u3YR8lfq7f2Fw+FECAP9MNQMiJpRRL351An7XCqeSwrGOLw3itjM1anQJg6sJZhOG1KlOiw9GBFKSYTQY+tkf0orIg5jiqLdMOroc07FMO2AkqqrUD/sivcyKPOaYuhCy6lM2xRAzuqm7Hq9wTnclmWlWDODtw5vHdZYLPq7oA692G7U6G3MGoO3AUHzKClSRUGDt7I9nsWCAzGCWIgl411HVycpN+RZdQpYC8ZkfRSTt6nINm1wR6EWkOrOrFMb1ivvGhHs46JiBOMzqUS0pVodLiXirQqyhQKl2fkdKdXcKYw2LkvecGyKZLlPzBhjkCxY1OVQik5YCndEgAOcK1iXSDlhbEfoIl0/0PUzyzpvk6NScs0BWRGzH1z22muvvX6PEqAYKFYwzlfXQIdgcT7Qhb4KZ4nFJIrX9dFZR3CaL7Eui34PMVjx5BLwdIgBawtpTdgiBOMwc8SlDDkiKUEV6aRoKDrW4ENHRoi54PuOfhyxIRDjwhwTsWT6rsMZSEuEXOhdhzcOazIx19cjbE4/kUIEOucVtxpzHbTRw4cRND8RbUZmEZypRAAKqeHR9S9UtyBgDN51+g2KHi7EgHA/yGEL3hssgqwF50zNRM6I0cdsB8ZS5G6jLEAWbBFImSF4cgFvDV3whM4hCMa2fyNI0nXZUEhxxpRMSRGxtmZoDljnKdVxqgdOKjVB8M5TclH6hbHagPX691PKlKL7EuMCSeyWC6rfUJ+0WIN1BmsT1idsMKRyo+uf9IobwRqHEUsWgQyd9RRnK9jWbfkge+211157/bZ6//bK+enM54/PWOe5TTPd0FfMaiYJxJiYpwUjMPaKI3XOQjZMFxWjrMDz+ahYtHliXSduU+F4PHJ+esKIosCKCMu0IDHRDyPPHz/z9PEHvnz5hdCFimddNEux65CUWW4Tx8OBmBIvf/4Tp/OZ5+dnlkUpS0KmD46cIn/+8kdyyhyPZ3764RNSrA7wGs1hjlld+gVhOIw45/jy5QtmXYhZHQatUeY9+E5dh8XA4XhEbjc+nY50o+LR1nXl09MPpFUHjF+/fQNj+PL2Qk5J1+M+0JlAzol1nkn5xuU64V2HHzwxR8QJ1/mKW7VZmUvmNl22Ad4Ytbl4fj5yeX9nutwInX7Pw3AgxQUpmT5YTNcDQlqupBTpux5jHNYUvINx7JjnueZuLnSdDph9/fp1y77EWlzw9MYT08qhH8hd4O39nWVetMF6GpmnieB0kCn4wDAOioKrOPmuuk1vtxt//4c/QG16tkZwzDqsTHVXWmtZ877G77XXXnv9HpUKSie0Xk0jQO0IVzqOIYmQUXx3QbCVehSr4Ub73xWUV9RFKKUQ00qk0o+swVhLCA6PYzAdrvP0zmKS9q9lTTgMYwgq/gGUTI4La9EhneZE9CEQ6zobsw7/xJgYuo6x78EobtR4hxs6nj59hFzwznG73uicZ+x6vNF4kcs0IYaKhs0Yawh9xzTNDKFj6AcylmC85kHOEVtAspICTAaybFSEFDWOpBh4u1748y8/8+39nTVnOmPoxpHj0zOhHzDVGLSmQszzncpYDM9Pzwz9gDMWb/Xs7nvP4ALBOihCmWa8FAbvOR9GjiFgU6IU4XqbeX9/31Dww3Hk4w+fOD0/s8aVaZkJfY+tedGh63DeK341acSb9/p+tEGk23QjXzKXbxfWGFlTJKZEqFmU/ahECSMFWyNVnPfbfPAjYXIYho122URKYM+E/C/ULkL+Sq3LXDMaOmoKIjGu6jJAJxRjiqQUySUSGhfaaIbD9VrD4r1uXL/PBXDqjvgL12ILy9UfXs0lBHBWNlEqp4wNbnNVQkOFNthX0RzJ3LCkLfOw2ct1gkJD43Wz3PkOXy3dXeiw1tcfIqniaqZUBrVI2RjZzVBd0D5gCHWCdNVpTZPvzsWGY7PO4bzT3MecSTljk06cWu+3H/jHepwOaX9+/N0Yv023bK/XqONRx2Kqq1EEYwRMIZdS0bB3Z2PJAiZjpKjzwxiwghi/OT1LnSoVac/H1u+t1wkKbmtyCqVQRUipWD4VWTVfy2Cso+t6Smk5nLowphyZ55lSMibq606x/70+3nvttdde/22XgVx0WMd5wHnNMbQO74IiNotozqDzWO45DcZ6jHV4D4ZANrm6/S0xtjxixZw4A7YIIpG0LCCZklbiOusabnRQx7i6LgJSB4C8d2A8JSeKieSSWWIhCyy3ibJEog/0ocdZiw8O412dCr079YpoSHpMCcuKtUon8CFgrFMdzQgN32BM3VB7zX9sLNVch2sa/mSbPq2c0fs6vJ3mQCVIjcBsZavw2EgCLuCdqUNRmglBw8BbS84WaxWzqpnWKgBKyXUjIhgpuscwRl2g3ivwxaCvEaP0Cur4kdWdnVEVVifCyBjvFaPqA8VYxFjEOoyr6FZnKVkPNkYEbNsLCaZmSxvnKhYIoKgjtFIjTHtdIsSK1FnmVa9SY9ruTsi99tprr99cXeeRkpnnmfFw5HQ61Sn3XLN7E84bzucjpngVBhHmeaKUjHOGNa54b+ltz9j39BW99vLtlffLhXlZGMcDXddx6HtS0nPl9TqxLopYfXr6oOs51P1BPVNjoAjvb29Ya+hDoMTE69evahWwQgiOLy9f+fnnP2GM8HT+wOFwZBgOSLHEtRBT5tOnzxVUVLFxOWOd4/z0zLLMxJQpshJTpus6/e/FU4rmWapA58i5cDyeqkB4ZV0jX79+4dAPfPrhB97f3ljWlaHvud6uOGNw3m4Zz+oYtFyvEyEExpqD1VCvGG3Q9X2/YfBOpxM/f/kzGGE8HoAbc826ul4veqbfzt8NZ5DrviYy9CPGGC7Xd0W9l0RMqw4FOc2KPB4PgGZ1TvONHm0equNSz+U+OMbDwDgOSM54bzYUbC6pDlVrn6FVo1O9vb1tKDvv/da0BmpWtPY8Gsp2r7322muv31YqEDbHucHV3qo19ewKQBuSBZwSDbWvDKH73tzyGAPW7tUNi+prD7ura5zzDutd7Smr+857RZA6cz8/S81bLLWHDtoPT0XXwZLVTV9ypuRMTmoeWtcVEWGo2Yun56f6HHWQuIgwLTPLuqq7vwvY4LG5Zlkas+U0Ds5jRiGvkdvlujn6SAlbyQDJ2U3LmKZJsy1j4ssvv/Dt2zeWVfOOu76n6ztdf3NGbVA1auQBe5sq8c8ZSx96YhsW9oHQezyWlCPOWk6HowqGoSPFyPVy4TotiFXM7bIs9MPA4XDgeDwRvKcgjMZgvSfltGFkc6pZj3Wv4Jyj73pCJTs2p6PxDlO1FCkaFxej5leqznEnHZaUMOaO6m2USGMMc0XAttftKs1hr79duwj5KxXTWif2C4Wsm88U1Q2HbiiFgnXQ9f0WKq8YlGXL7xNhm8xQgbJU/909OPdRZGvZBXDPISw8TCaktgleEZplOmz3WX2su0BmrdEmqjFYe0eaphTJuZBiJscJmFjXnvP5jFd7Jinpa0hVJNRGZtGGXe0+looNNYAPd2RKimnLr7TBqOOiZhta5/BAFHVylqUG1DsHYjWHqdZjyHD74X78QZcmLD707L77N6XCzaooqIDVRJb656KZnCJCyXETOlu2hbGAi80zWf9us1/7O1+8CDlrU1QEstyFTmmeiVLFWFvdHzW7Up2Vsj2uD4ryVacnlKI2fR/2H9u99tprr9+jXF1ni4iiRa2jtJzH4MA6pGiAunMVvwm4SgYwxhK8w9lCsgWKoj3XNRGcNsw0bwGQRFoWlumCpbCsM7fLhZjXLX+yH3qMNUhtUKa0kKPXx62uPkomr5m1FNZpJs8L0XXIkKobQIdsRFRcxSrqzVTDoO41cl0fg2ZBVBGPRjfQrQPQMjR0z6Jr7fd4kTaIJEZ0L/AoTNa/UYyu/y2zkUpPEO7DONY5ggt6oGsuyofSYaiaXVUROBhTB4bq4VKUQGCd04MfQNt7Wa8UiyIqPtaMy5ZN4er0qBiHC3o9rFOMrXgVYI1rArQlu5prLe3aAXW6FmsxwWNqTiRGRV4o/OXl8Q95V7ni/a11lJLYa6+99trrt5W1SgNoER7Xm+YI+upgK6UO1lo4H58qgs1xPJ2Y5hvv72+ErqeUzHWa8WvEeUfwgefn5+1sfrtNXK9XxnEkhB7vA4jZspqu1+s2NT8MA58/D6zLwnS9qSshR0oScsPAHkckF8QIf/7zN+blxh/+8BOfP3/m/f1CzoVliXTdyPF0wDl1JE6zxnbkIpQY9VweOh1AcooSvdQh6WE4cDwGPn4ct2yjaZo4nU6s66oY02XBWsvT0zPz9cY8zRwOR8WmS+HTp8/c3i8s7zPjOGCAy+VWRdKBdV1ZluU73FwIgWEYeHt7Y5omzucz67oyDIM2Gvuez58/M8+zZliKnuHjGrdeifeew+GEiPDy8sLPv/xc+w9lizgRFG0b2+tAX4dzjq9fv5Jy5unpicPhsDWdWy9CpOC8wRE2Z0MphRjjJjo657Z+RNd1mi/JHbvaGpiKhUtQM7d0k7XXXnvttddvrdZL/8toMmkUn1Iq5c9u/11MxWIbQ9f1WKc93iY6NjES7rFgUpGcTcRqGNUtDiRnrPd463AiShK0FmPV5FKkkLL+0nVjVUd+jVcz6FlZnZiReVm0DxwjOZ8Zh4GUE6lkitHzbizaa19SxIfA8Xzi+HRmjiuX6xXjLIfTiUM/4AqQC5fXNxKFWImOruFSrcG5B/MQsCwLr6/f+OWXX3h9fSXnzNgPVYBzxJQw87z13MPDvmrbXz1cy1KK7mscdcBYmNcVFzpc6Ig5Ma3L5up8v83YoCJvEeHUBcXP1/1cjqk+VsEbi+m6KupmRaJah3G6D+j6Doue4V17rjgm7zHWYr3Deq/UAueUViT3511KQazb9iCPUWztNbbPRMv63utv165m/EoJQpLMkiJlvmFdBPTDl0Wbkj6onbplG4Le3JTh3H4QVKRa1xVjtJFXpOVAdjjXpgYy6zpTiidnj3O2frh1MrFNJizLpJv6NQKFrgtoBmFT5O2WIwUtGLXUG0GqDstSg231h3eZb6zrzLJMpLQyjoft5qGNR3Vk6E0ePVzxcGPOOlE6UzQQvjoRpLpF7QOKtN3cdJOv16Xd9NtrfAwHfgy7b5v/7xYEarZTvcE507jfRcG5UrRRuTHemtvgvlC1m216mJpoUy/Wa2dVWsNyW+T4TrDUqRRLEafCahFSRcxJfR6beGo0T7SIOkHI92bv4+vS63F/rFJ2a/dee+211+9RRSAJ5FQoLiJxpeUXFik46sS79ThrqrmwCpbU4R6n2PDAPRtApGjugyQV2ICcF9J6Jc5XpESm+cr1/Z1CxvtANwwYPA51zGUpLLcrphScs8RlIscZi2xodWOE0HnIhSXOZEkY4zDGg3WUVLBODwSdqRtra9QxWbMedAAmk3IkF3Becwm3/AzRIZ1iNAdS3X31Whh1QxqE3ARIqtPQNBcguCq7SRUk1X3oKuLcUgyKt61OUEHU0ejvOdRF8pb1kZeI2PpcrNOGXn0uPngVOE3NfbK25oVYxNZ8TuswTp2szb3p6vewUnCiM53WVWKFLTgXMKLXzxirdAUjmJpxWT8aiqm1VidtvTooqXspY2xFqt/3EVL3LZr54Uj1wLbXXnvttddvr+PhiHOWaZ7JORGCTu93fbedZRt96P3yzuFwxmK5LTMxJrphRKQwDie64EGEZV24zTM5RoZh4Hg8cTgcuV5vpKREo2VeSCmrE3A84Fzgen3ncrkwzzPH4xFnDX3fM/YD1p51Ta5ZRd9eXymSWNYF5yx///f/isNh5PX1XV+Y6MBNVzGhGEsu3+cyeu/p+56U0oYKayKbTvTLRm1q7slSypYl2XIkr9crp9OZ8+HM9Xql7w8MA8zTxPl0ZOyGul8o5Jiq43FiGLURN44jXdexLAvX65VlWRCRipxdeHl52RrDMWbm+R3J1IxFReMZC956YgzbQPZ1nhj6nuF42PCxb29viBWstyxpwXUOsbpX8sYzzzdyzjw9nbDOssaZAqyrui6Ph8PmAsHpNVnXdWs8NrEW2LC2LXNzHMft+seSa74zNRtb0bdd1zGOh/+FPv177bXXXv/bru9Jg7L1kSUJxUh1J6ojvg2/apQWGy1IihAlkW3BPPSI+5o1WKSANVv/Oca4Rbps5hjA+h5fnZb24cycq/CIT5iYoOZEpphYp5mSsg496wvh+n4hxnU7E2rUl54NbfC63ok6LLMIw+GA7wLHpzMfPn/mOt14u15YckK8xfUdToCU8UOHC4FMIRsYhp4w9sRpYp4XxKho19CiX75+3bIgW1Zly4t0D0Jj2280I1XLmm6CYRuEyvW9WtfIuq68v7/hjPYCYozcppviZJ1jSRmbPcZprMrQD0psNIZcig5yzTMueMZx3AZ9myA6DIPmNR9G/Tcpk+NK8J7gfH3/reZtdh390G/DTDElctGczKYV5FK283uuQmeLhmv7qEZCaLrEXn9duwj5K+V6zTSU6oIUtEFnNNYQ5/TPzqpTsE2za9h6zzCMNVg9a5NzCzBVYco5xW6GcD8EbdZoEiJ2Ezadrwxq77DNoUChfb5bCKqKe2oXV+HKbsKktY9WQUHPUqJuSgvGCPM8c7vdSCluP0ztNZXi69csiK0THgZrNHeqGLWHx1QD5qU2HUUoSW8mTgTfVDW0QWidI+XMNM+sMRK835A17bo0IbL9/uga1UD46tBEkPqa/xLbYqvbQow2Cm0ThMv3740uFGlDtdqUwMeKjFMHTE3CVIRebbCa+j+Lqe6L+v/RZrc1ivPNJZNLppREKgkRgzddvafdn49UTJ3b3ktD2ZuTe+21116/S60x0RXAGrKAqQcAI4LkhJOyradtilKQLQYQigbe13u+MZoXKRSkLFUo1PWm5EiKM5bMGifSfIOy4K0l2EIXHBbNhu46dSimaSHHBYujpBVy1j2AAdN5uhAwRVhuKzGuLGum6xXLKsZSSqSkAg6sdxij1ABDRZ1W137BUFJCx2iq69PbKvDVw1RFlzaxjypEfg8OVeSqGLZVUb9qKUaxts1x2XKS9cXYSpfQ129F3ai2HiRjipUsb+6YHABXETxWv491DnG2EtgrOr26FLfXg8M6v4mQzchoKvqeUrCduk+NMRipeyBUfG77KSfl/pqFO+2AKsbaiqy16v7U7/HXBxJrLZIS/7f/8X9kXRVlpxrn7oTca6+99vqtpedJUcyqqHDWjyMlZ6Su79bqmTaEnnmZmZeZvg+EriPGqMKdd+SsDc1hPNL1I3mdmaYbb29v9L1iwkLoeH19I6VMjKkO8uiQ64cPH5krVuzt7Q3vDIdxpB/76vYXzuczh8MB+fOf+Pr2Qug6Pnz4gGD59npRQS/0LMtKjIlpWsi9wXnPdJ20AeccxjqcMfo8UjufrxotkzI5LfTdyOX9uk3wD8PA89MH1nUldGE7f/d9YehH5tuMtZ7ppsKo9x0xFuIS1c0YF/p+4Hx+4uXlKzEt2zk8paQiX3UHPD09cbloJuRPP/2kDs3blePxqCLjGkkpcTqdeH99wxpD1w8cDoo+u1wvdKFjmhdtjvYDfd9xPj2RcoQebrcbyzIjggqEs6JxtSmcAcMwDEzLsqHVdEA7sy4Lpg/f9R+a8xF46LncnRGH45HbdKvD2opkz7lU9L+e62NKxLiv73vttddev1c99nObwKgkI7b7s7V2E8CKSD0rQ8ya/9ici66e84w1BB9q376OyIoQc4KkZzz34IIEjRXzofvOmGSMxWXt/fpSkF4pgGldkXXRgaU1UmLCiFByIS7aLy4iJGN1PQwBF3Ro2YdAjoocDdYwnk847+gPB1zwuOxxfcc0TXz59kLJmdNwwGNwwYN3mOBxgO87ijPEkjcBMEZdfy+Xd759+6ZDObBRH40xeKcGqTZo28Q3V/dU7fd2fXLOSpFC18XrNOlafrsR14jvgjpMux4jpcaflCoSBk7nM8fjsb5HjhxXdTwuC7Is5FVR6DlnXDUy9UO/ESZjdZeu60IIHcdxBKt7J5z+XR8CGMNtmkg5Y5yh9wPeO6VBxqRr+WaCku37hxC26wP3yLi9/rp2EfJXajiM9MOAcwFnA855XOh0Y+/M5lAToVqr9YdMOcD99oOo6DGpinmsTbSyiXwNM/royGs3U7iLk/rDrJMcofNgOkpJmxiXUqwc4kxx2jBUActURKsQQl/1v7tlHVNwVnBOH3uqNwXn7qhYay1dH+i6gLUeZ8FZV4Ne9fCG0yysdV1Y14gpZnMcZgFbv09jRpuKd2287DVGTNIf7tF02zUBtptXe84bn7m5IrNytEUEsRUrJ/ebA9zt+tjqh6yi7D2LsyFm49bozLlAEmxWZ6crTh0RxmJwFWtXm9Byx6x558mmgMkUC0VqOHLx2AKkXF+fYubaYagdQlWkbILj/b3a8rb22muvvfb6TZULOOcxXcAE/WWdbkYLVaQzBuu8DpRUpLiuzw0Ffse7GOvr2iAs06zrklG3eykJKZHghTQnKAvBolnSnSd0Tl0McWUYR3wXiCniXHUvVpBpZw0ZyzD0dH2vYmLOxKTrhnUjzjvEaZOtpEIyYPFY53HGUKiiq3GaU2gMiDr1nNE8DYyKj7+25sh3/6/9yWxf2aTKLetQf0kTNKurtIg26ci5XlOpAp5mR3vjFIhe8SilFJVMC4pVdXXkRxQXL5KRXDE8Vv+tHiodxqkQiXWbgGicV/G4HhibiLplT7WvO6uicM5VUmwiJGCqsFrFWKrrE6OqdQPxS/28iAjrsuB8x//wP/zft4lL2Q8ue+21116/S63LwvnpRM5CyprBGJeFoR8YqitwXmamZcFap0NAzm4DoHoWtnjnSZLqkAvkpOe/n376O6w1fPnywtvbO8fjkeenD9pku95qVpCKfC8v3/j48SM//PAjb2+vXN4Vb/bt2ws//PAZzR6cWePCbbry93//dywxMs0zXekYxiM5C9FkrAt0Vp140zyrcJezOiyd39au26T/zTrdZ3jv8cvCt5dvvL6+feeWvN0mvA9cr1d++OEHLu+KF1VRbuX59IyzkUIb2o3YXgev398vnE4n+s4zTRNPTyoGLsu8Ca+tSdfEPu8967qyrivWueqMXBnHkXVW12RzFsRlZS3rhrMFsM4qGjb0vH77Rk6F89OZcoscjkesMZotdbvhjGG5LTRalXOKeLter6Ry78nM06QEpdqbaS7O5n5sA+S3242+12zQ9hyFOvhU/x7WUCTqHsPqoDLWQtoHivfaa6+9fs/a0Ks8nE3l3jd2zpGqm62UogPGQEyJYgzeOjy+kvga0hU9xlk9x5Y6hRxLRpJ+r42iZzV30DqP834jBpna8zbZbn/OOZNCIIuwxKgYdkEHZAG8hySUGsGWYiSnpCJk36mQF9UA1VUcuO87bPAUC/048sOPP/LPf/pnvr29kmLEfITOef2eFHzXqTvUGlIppCb8iZqS3t7e+Pnnn3l5ednogMMwbOt3yiqSOqN49LaGtn5966W3aDbvPVQqUylCjKvG1+VMkkIfAufnZ7quY11XpmWhr9pE3/d8/PSJ09OZ0P77NBFXpS3GFLmsq5Ih1nXDwrbYnfY8NEoPjLOEoedwOLOuiz5Hr2t7kYZ8r7TLvgejj9FeV855c1s2smPb37THa7F8e/117SLkr9RwODIej1gbsMZjra9C4SOKswpJqaJA61SAZi7qTckatwmNULnBklnjjF8s1lEtvomUVbzbcKVYJBbwiuJsOejWGrouIOKqDThuTS1Ffs446zGm1BBYh3Nqi34U5lqzz7sO5xJ9P2KMJUZ1VqS0UqRgLQiKbXPO0XtF0ZWcCF2nDT0B50ydQiisKeqNvWScs9vNqNTN/qOjsTGU2wLSsKXA9m/u+Y9mm67wXtE4WEH7lxlqc1Dq984pa9uz8qtFBBdcPUTdp2Oa2Nuem4bVJ3JJFMmUmNAzyAyosNt3A7KFYNVmtDXb785ajMY+qpPWOYwVjK2H3JIoAmXVhVCkbCiXrfnJQ/bl92Fbe+211157/VfW8fjMMJ4o3iLO6ua/DsW0HB+Drgud043lPYtYm3BrTqSU6ULP6XTAWce6LuQ6UCJWWNaJsk50wZHXmWW5gmQOQ88wDISu51Yy65pw3aCufWt04wvMtxvzbQIpBCMMQ0/fBag5V8NhZF4X1rRiHAxjr1iTSQPuY85IsZzOZ82nLOqKSHlRZDiKG7ddx7rM2ByxfUcxFuM9LqhrsGFarTPqVBTNlyxVFKwnrvs0jrAN6SjexlUzpQVZKVLpAUa/l5RCSRnrNT9DctEcTApDN2i+shS8MRSEnCKh6xAjpIrSNSUgKaJHx6xfw2KM0g+Mc5rMKA1VrwNaxilGHWtxTtfyJgZKKTUvQqc/U8mkOmQlojgeFSjbfsNsomVjyForuo8QzQnVMvjgFTGbCyUXct4PLXvttddev1d9/fILcZnxfccwjJzPR2JM3K7v3K4Xzs8fdXrdeX758kWdfE9nDg/NtpJlw3BaY5B6Xn1+Pm/ZiYfDgb4fiGvielXXQAiBrhu2bMXj8cyyROb5F8Zx5IcffuR2vVBy5Oeff+Z0OvH68oWvX7/w6YfPpJgwxvLh+ROKCNWMqC509EPg+fmJ4/GobocvX1hj3AS/hkUzxnA6nYC7I6QJaxa3iWqvr69cr1dAMWr//M//vGU6tkHoEgvTNG3iHAgvtxe80fN313V4Z1iWBbPRf+5n2uv1yrdv33DO8eXLlw331n43VgXRuEamq0bPrEvS/CbniTGxLO/VkZh0zmfS9+bQHRAKby8veGe5fHvFOsdhGBj7KiL2HcsyoRE2itibphsZ4RROuvdzBovTYWzbcb1eN3dFy8eMMW64tXZNp2mi7zu6TnG/87rUIS5DrK9xQ1nttddee+31u5Sg608UauSIIYwDIoUmR7a+7vzQA29UPhEhlqLGGaP3f4tsQ8eNcFM75whS+8N3Kl/rSy/LwjSvFcM+4r2/93CrEBpCUPNQ9AiQllmzpA+OVIUr6Qqvr2/0fU8/DBQ0n9H2Hd4FJQ5WAw8ihDpQ1Uw6zjnOT2eu04331zd8CNymiewDwTkd+vn0gb7ryKXw7ds31hQ3EXJZFn755Rf+9Kc/c7lc8MYq2lQ0N3MYhu+yERsl4Ha7AWxuwPZ6m0DXDT0pJ4y1xJLJ80TMmX4cCcNAN+pwmPGOYlT0HYaB8/nM6XzWdTcp/rTkTF9fz+0qLHllmZdt/9PVfMhxHNVsVGlJ3ajUisPxSO97UhoVvZqzDkMDvtIPh1EHntZ1RXJhnudNk7AP7yew6QdNi5nn+V/uQ///57WLkL9SiuwKgKMIGqQqOu2vqC7N+hMxCOqQa1ZkY8yGZw1eG1F6gLnnCogIa1wp17LdOB6dkC3k1JiMFLX6euPrdMY9Q1AFyY4ieTssNcxqyhlTDNr8E2JiE7K0gZbrNH6kZHDWM/S2YmQjt9uVZZmJa9weL4SAyRPG3AVXzZ8EqBxu2rS/BvLmktQJUjFroXSE4OvrVSt06FS8NDw2emVjLX8vnt4zJdURUTShqzoLS85bM7CJkda0pUOnVQotbFaqkMgmUpo6rOi9wYkllvlu9c/3Sce4rjjr1S3r3Pbe+W7Ux5ICVbzVTIhSm7DqaPXGq0s0OBBqZqfF5PvnoImQe+211157/X6VRV3xxqrQZuuEoQbHJ6ROujlrSHHVQZei2YSKAXX46pKwzlZ0SiZLIvSdYkRK0ul4dKBlXWZKyfg6Mdl3A6HvmZaZYgymFHIpBGvp+l6n8ouu0w6lCPia96gHIFjXqLM4PlDqVCUVDet9QIw6DZfpRnaecTjiveLE4zwTRSjG4kuit8ctz6FVO2SIaU7E+xpdGrWh2QGbBmk1NVMq5hwxNRvSKd4+F8iavWGwUDIUURRNiiRQZHnNzYhYcswscSWljPNOM726riLOoyJv04rBgWRySqRcwOhh0edCFEM/HjGdYuClCpAGtjVcce4qYaY6SGWkUKqQCWB8wKBZT7a+XoxRykP91fyUSMX8Zt0L5aJ7kzbUtq/ue+21117/MhW81wHPGLlWB1oIHZ8+feLt7Z1ffv4zx+MRHzr+8OMnrrcbry9fuF0UfRq6QB/qJHzFipqckKJNptJISKYQfEd/GpkmdT+WIoRgORwOHI9H3l7f9dwvwsvLK8EbPn54og+e6+3Cn//8z9wuF0LwpJwY+ydtMhrD4XjmcHgiZxXzbrcFY664mmt0fnpimhfFhhXhdrtxud4Aoa85Tpq/9I61jvPpBEX7B4AKqDExTTM//fQT1+t1a+JN08TLywtFCqfzEVMHaPpO18HXr18B4U9//iMUoe/Vaei82Rp0MUaccxwOB97fNdeylMKyLJoDdZs4HE9cLhfdUxToaoZiHzq6EFjmmev1SilCFwIlxToc5TG29mdEKCXqGh5Xbstcs72V6BRXsz1ua17j7JbtZKq74R6HYrZ+TGsyAvdB8/rnlnlVSt6amZvrwlqyCJLqflB22sFee+211+9RW6QWZiPnBRGss1jv1A0nbLSAzeEIdfDEbTmCzQGfS0HM46GWeq5VA1IzvbSvexvwwTMviXlZmZcJEA7HwxbTUuogbXNZGmtwXaAfB0pMUARbHM464rrig1cn3jgSc6JQxU4MMSfiujLdbopT9x6M5g572xO8x1nD8XxS/QDD+7dXbrkwPNAam7C4LAsxJdZtPb5xvV6Z55l1XRmOpwc6oqk4VkWQ2np2fszkbGTIEALn85nz+ayZjdYpknyNzHFljepC7aoI6ULA+oAXCFkRuE1raO9tSqlmfGdCF/DWEZyvOstCQWmI7XOhMXkd/TgQ+o4iQtf3hK4jF3T42Hs9x1etx3k1b4UQiDGyLAtzJU601/ioVTRxtj3HaZo2hO1ef127CPkrVcSQcxO1tMHmrR5mhIwRnbLXba/H9O5h02orqiTjvU7Cb3hP2H6gjDHf5Qo0ERKoP+QVico931DRMPU51h8uzaJS+7h4ISfFeaa6cU7J430VuKozU0WvJqwpAs37rroAdPPsnNqrp2miiDo+SimksuJ8oEiPtQ4XqDMjNTPLaCaFehAUwRqjHgIVS5Kw7hFjV5nMpgmvdzRtmzSQ7Rrm7f9DFf1qs7OJjFIdGjW4SycTaki8GFPDivkrcc85X68zVYjU90ByAjQ0uNQbzP398JsNvb0XMenUTKmo2JRr47G+ppY1ZazTxqw0p6xO11pnsWK3BmjDtO441r322muv36caltQ3N151PnprMeJ0/SiClETKok0kRNdQoLnffdA1NZdU8wDB955iA2VVJ0AqmsG0Rp1ydL4j+B7veqzpECJd7wj9gO+Cuu1i3tYjFfw0W6p9rRQdmFHEiKhb0TvNfxLBOk/nAwJM66rrbwjqKkyQYlSRT6BYQ84OSqouwrYGN7Sqfk3XZwumYk8b/qYNIlndByANp17IMQOO0IS7nElrQhuGdSwqQ8kJW/SQtpZITquKwaXgMoo0zQmpe5Ox78BZyEV3HiUjJSFFoCQkJ0pMZBy25j2XiqAtKGbXWJ1Etb7mgtk7ht60cEuj2dYpZ7w3Wx6F5oOauq/gjmw1mmdpRSkI7bCCteSCPr+NprHXXnvttde/VJ3OJ5yzrEskBF/xoAvr1xfN4EV4/fZC3/ccDwN/94cfAMPb6yu32zvzZFhDT9cPWHRA1Tp11eu5TddJa2wlDvVKGqiZkO3Mao3lw4dPXC7v5JKI0TFdL+o47Dum6aLZksHz4cMzxjvGw8jJPwOGFIW+H/j06QOHw5UvX74yzyt//vkLzhlOpyNPT0+Y6vj4+OkT7++a5/TzL18opTAMw5bJeJtn5su8kYjO5zPH44mvX7/y88+/MAxKH7DWcTyeCKGDkvDecblcWJaFLji8dwxjB3T83fkPrMvKLz//zLyoM/AvMyFDCByPR2KM35GIDocD07zSdZrhdH2/cL1GUsrMdq7RLwbvVdRclxWJESmKog/eM4wBNwy8fpvwoToURCqxQQjOI55tje/6jrM9M63L1jhtImR7rjqUnTYc67quG7npsQGpRKt8d85Iy75G95Tw3ZD2Xnvttddev71sXUcef5mKCA29DrAIVSSSQvBhO/O1/i20457ZhkT1Pi3bn7H3ODDTsg6LIkxNRbiXMhPjTBFh6DtyDpiKL08p1bOfionabBZ8F1hLYVkmcor06kvZBMjxMOJSYo4rzmjcWsnaU2+kghCCroOpZ6xrmDWG0+FIsI44L9yuV5brROcDh646BbtuQ7KPKdGFwOVyIcbI9XrdXP9wJxOa0Om1C54QPA3TuA3g1mvTRE6lRPQYY1jmhff3C9d5YkmRJEWvXddhvFKXmigYQkeWVFGoiTJN32FOjTFIVldn8J6S1e1ZpJCEjUjlvFcXqvfbMHUuWfssa96Ew8cYvHEcvx8wqujbR3G1DSs10mP7t4180fYMe/117SLkr9SaCqEIDrc1JzEWI7liunSKHaOZiKWUzf1ordsExIZTUX6wwTl1W7TpwGVZ6k3k/mFtN9HmkNRpPVX4NfzUbxbvlCOPdnNjDM6DJIGs7kswrNETvMcYt2VVliJIqXlR1uOcYuBAm3rHg90OKPM8sUa1OduS9SAgdTLQGazx9Qe+Ov28w3qvz03cd8Jpu1bthvVdFmbOrA9Y1Paa2o2theVuToxSamOy5moKGFEXQkG2cNr2d8UYMsLjHGITI5tF/rE5qO7NDtDDTnF3Z2LKkTXOLKt8t5gVyY3Zq81iSdVBYze+uH69vnMNA0C9drUh/vj82oFnr7322muv36GcI4vBSMHkAjGxxETwgd5XnPlaN/kGPYA4zYTGov7GEgkO7Uw2l7u1SiSwQpZMkkSh5hQag3VBHYoEUtJ1yjilAfTjiA2danoWjFUx0ToPKRFjZjarEhcaMtY4wGKswbrunmeZIVfHZIor3jo6Z8lxYUmZNSaCU5RJqThRU1tk1lkwFnlcm6VQpGYcGgui31tyQbLuc4w4oNTlzyLFQK7JkFbXZ3uHAiipIdc1OGd1N5SEQV2otqZhpnXFWYt3js51+KCC5rqu2zpvrKWr058pZcgJSsYYwYrD4Oi7kTWt5JswHk9YqyhX23ksOs3ZDiQqHJoHQoIeNK1zisIRaBlQuShbwVqLk0zLuqQK14qrlfrZuB909hV9r7322utfrtZ54aef/oB5ttyuN4yxJCl0XeDt7Z0i6tb7+vUL83zldFQxzhqLtzpMuk43nNFB1drFIosQkzb7hmHAOce6Rr58+ULfj3WKvttQrg3n+fHjR0QKyzpzHAfe31/40x//EymvHI4jnz8+0wVPKoWXby/8+ONPnI7PLEtinlb+/OdfOJ1Omp+4zry/vzLPKyLC8XzPO3TO0XWKB/348SOlKErsy5cvhBD46aefOPZHRISXlxe+fPnCx48fN8dCKYpe7bquntsz56Mi4vveI5JIaWGeIw4dqH57z1igHzxd7787u7Y8qYZxyzkTQlBnaR3Inpe0Icx++PSZeZ55eXkhpcQco+Zi5ax4ttOZdY2QlSq1Itwu2hPx1jAvCy5YDuOA946Ui0bSVHSstGFrDMfjAajNxqzUipgizqpDclmW7fm2fkLf93dHpWgml/X3c3uWooPIlehk6h6xNDrEXnvttddev7ke+8iP/eIQAv0w4LwnlcQa74KdtZaMOk5Cw2g+OPk0KkQFJTF3Q4ythiFXhSyp/Whd0xLWCF3wGANdcFiK9o5TJic14lgE8a6O+CplKKbEsi6UpLSlEAKDPzAMA37okeQQqwOtpv6yxhCcxxt1R5ZcyCltUSKtk61o0IVlWZmniVu6MIeOse9xxnI4HtQtGAJzPfu2TMh1XbYc51bea7xbFxQLa9ydUPhoHGr9++YMLKWQ1sz1cuEyz2Qj+KFjOB4w3kHNpxSr5hzjLPNl3vQO730lPlZTj9EM58eIti4ECvWxqwvWWrtlOqacSKUwGHBZM7WXVV2OIqKo+5oB3UxRMUZKLgSne5g2nPQoODYREu6ZkXvP/j9fuwj5KyU4RGzNCAo469UVIYr2tDVnyDiLsYEi9+bVNg1vLesa1SFYfyDbL2CzCJdS7iiQB4svaHPOWFNdlFInEcIW/KpI2FLRn+res66iYslg1MlpjDYQLeqmsNbhHIi1mGJrw5CKL5MqSFq8D4TQb9MHkgoFncBY7IybAwaL90IWq8Jamw6tglp5CHBtP5jNxdkmD6CG2OaM1B/+hrb9S1dkuy4iUtnQsTb2ZGv8wb0hbOukQqkTK4JVEbI2Vrcbhdz533ql9Doi6u6wxuGd3viLFFiFJJGY1zr1qgi8nAeMU0yrqS4KqPgWVHhU84ggaBNWX2J93tbgja842ubI/V4c3Wuvvfba67++XBcwTqcKoQ6M5IwVgxOwIhBzXTBBxNRfuaJHdW1WmSljam50MVJzBUQHXoyiPUpxmBAQLM54wJKzUcznELAhqNho6vCP71huE853dF0hG809jKkgkrZhIhHFxwfvyUVzJ7TfZRU13gaDrNlEsBQjBj18GedIBs2FtAbnayYyhmIUPVOK7h9KnQgtBqhZkFIKpm7WkQJYPZRURKtraNKi/FtFytY8ZylIAals3LiuSpmQgimCLboex5JALMEGgtcJ0nm+EVPCdpqx7H3Ae6ffMycoEVv3T97pYJR3hpQFMQ/EBeW2IAZSTpoNUXR/ZbY9W9uXZd0XiqL4C2wiZCoFZzVJxCvoFytAdUo2ikWpRAmdnv1f+lO/11577fXfTs3LxJ/+9Cc+fvrIx4+fuN1upHmi73v+zb/5REyZ9/d3nDO8ffvKz+9vvISO5/MT1nnmZa30gIi1juA7QugQIAwjKaUNcdom5Od53nIXXec3IS6lUlGtiWEMSEV9nc5nRBLH00Df9cS4kErG+cD1eiMlGLoDXTcwVyfB+Xyi63pC8KzrTIwLLy8vHI7HLdcI4PnDB6Zp4ng88vmHHzidz/zyyy/88ssXOt/x4ekDz88feH195fX1bcOeHQ4HrHW1ebnww+dPvL+/Yi2aoRk8t9sNkUycZ0LnuN0uWODTp490Xc/b22XDlC3Lwtvb25axCPcB4IaG67p7TyQuGl9zPB4VLW+1l/D161dFssbEaDu8tbjQY4xQitIPoLDME+WayMtEP/RY74nrzLLqwHcjSOljLZpnWZFsIppDVVLZhp5bDcNQX7d+7RH5liXrsJW5D6WZ+vqMtRvNyOzZkHvttddev089CJCtnPcEH/SMay2xyOZEt64N8Or5fevFV9RnzpksQmvLWu7CZhO8SlEHn3GunhdNHVTxdMHXnrdmSyLUwWAlKBYTyTUOTVwglUKWDMbiO8Wxns5njS1zjiKCQwjoc5RSNgFy7BQVH7quDkfrsC9ZB2PTstbXlKCapEpRlKsVNhGvZSyCmqOaC9I5pyKk3IXG1ptPOTMvM9b5jebYRMc2rNPW/Sb8eqsOwueuQ7zF9YH+MFKsirFJCibp81tqvvVj5ubmVq1Ccc4ZA3QhYJzjIDrhHELY3p++7ykIaU3MlT7ZxEOL4mHXtcblwXfo1/aZcs7hu47j+fSduNocn80l2upRr9jrr2sXIX+lOt+BwBojORasjYz9qGKd8VjjquCnwpspTTTUMX/BsC6K7xQxdKEjhL5+cHUSzjmLtW5T9+9zC9CciiCk0hR2oRRhjYWcI6ELbLlC0izDhRBMxVibmpdQqmU4IaZsz9E5j9V+2t1VWIq6L6qbUx2fDuc6uq4KiGs9eMSFZbFqJ8+dujDEqFsCp2YJFBtna3aiSNmwrvp6cn0+tmLn2PCzDf3W9ut6PUx9bnpQKMbqJEpO9RpqPlXLgkS/sk1yYqxyn9E8p0ekSkqpNmrddl0RQ05CKVQh0leXiC4C2VtchHWdSSmyppU1LYpzCZ0ifOtrK0Xq9dFrrrQ/nZIxtUlJbRaLaB6GDldUETPeJy322muvvfb6ry/nvTa3nCPUTaX1jpIj67Rgih5CnDGkimVPOVG8w/mA9R5vjYb9AcY4DFlzH0qpwfa69vmgmPCc0MMGnmI84LAuYIzQ9UfGw1H3DlExZGItzgdAlFKQM0gmpkIu6ipMIjgX6PuRa22uehcwVcwUa8DKtt55p45CMDhT19tcEKuA2a4iUXQd1/WKOtGPqcJmdQLq7wLFIEZqLpOuX207Y53DYjXDEj1AeOeQnDcRrzkGU4q4OibUJh2lHgZzyrrmhoAYYV4WksDgNTeja9OtqaFV6uNj1UVpLTlGgvXY0OGNOj87a1DbqE6ypjXqAbTmXvAYNi+oAGyD7rHqtZG659CpVqFUJK0OMAnGK8K1SMGQKio/ExzkfB8i22uvvfba6/cri8Max9vrGzkXzucnnHNk4HK5cjyd+Md//EcVE18/crm88e3bN97e3zmdznz+9Jm4Ko7rtkxY4+m6QBZhzV8Yjooaa+doX0XKrcll0jalH4LX+37XE+PKt9cXRIR/82//LTmvLPNEXBfE6Bo8L4nQKZEhxxtdN1aRTqNAckmM44Hj6aQCoV+Yl4nbfGMcR/pu0LOstby9vytSPASeP3xEcuHyduWP//wnROB4POC9J1a827Jo5tLYdbzerrwYYZ7fyClxOBwoUljmmcM4MIzqCjgdj8zTjZQSf/jDT/zyyxfG8bA5HmOsjs3jseZa3jbBU/F0jq7v6UOHM3V421jiuvL6/k4XAp8/f9bHud6wEdZ55Xa7kHPCeYNIoe89ffDkLOQ1spSM6wLJWOY14qzDWB1OjikRum5rcKYYFaVX3a0NzZZSYpom5ppF9TgYXEphmmesf6BYObthWUPX1f2XfNeo3Guvvfba67dVc/67Ogjkvcc3omAl+phqkOlCoO902EdEEFsqnbCrESVJBaWUod672wjKhg93OpjqnYOtp69/31WhzlBjOAo4r3nS0PDdZaMUFYG4RmLOWG8JzqtQWOPDYkrcJh24NUAfVJswAs7YTRD0zmmfoq5pbl3JokM0zli8bW5Bh+t7Sh2uiTEyTxOxol2LSB1IetWeehUbg7ubgpQAsKLxbh7vC8W52sPXJ9f3un5KEaRIvcY9tneM46jux86TRPR6dh5f3ZUGiCuUrH2AFoUW15Wc9HfQ4Z5UyYnOeawIwzhU4bHTrEqjdAi91trHUNRry31W92Suw08+BO3xF9lEV92bcI+ne9AN2meikRHa15uwvdffrl2E/JUavOY+LSmyZv3Al5I2G7Lve516F0jrQpFMoYDJGGdwzpAlqkuxQMbS+4Fu6NQpiQp8IgbnOobBqYmg+ipKLhu2I2bNYTAGconqwvMWL7XxWX9558EZpCQVtQwYHzZFP65xm9gLleVsjN+cAABt9COmXC3MHh/UPWis3kSma6LklWWdmL69Mwwjx9MTQ3/AmIAzHUUckgq5NkjvDtCCNXckqxS25iTGEYIhlkySQk6R4Lv61KQ6OD22CZA5K1JWVBzEWr3etRkqkskUXXyc5jDlkpCUt5tlMVLRcQYxistLJHVxGBUejXGa/VTSQ2ak3rxMzY703lW07kzKM/N0QyaDs+okVQG2WszFgBjF0iEsacYgpJql2VC0Yh4mKayHZedL77XXXnv9HtWFjqELDMFjTWaeLqQcMejakCpSI4lgu45YG2LeDLr2xwJWm03WGEgrGZ14dClhJeOyURRodb7HUrChJxZhykLXeQ6nJ4JzOD/Q9SfFxkzfWNZE5w0m6LBQEZ3ORMBZy22aEIkcjye6bkCK4Ak49MBhHFgHzgdGq9P7Bs0nsqHmO+QFxNG7Tl2PsVCWjAvq+KftVURdfdYGPQAVwVbkqu7O3d0BYF0j1uG85lSKQIq67nqApEga0wRSk4CItblOY+phzhtdB62zmOBwwYNzrCVB6HAYxHqs7zG+I5VCjBClo0jGYvC2Q6JlWRfEWsaDHlaW6ytYSzcMlKySMUAQwYoegJwLmARY3XsY4zDFYIMDU92yqkxiDfUzYau51taoTEPAkZM6Po1YOteD1Wv73//3/1f+p//p/wHG4IyjFBD2gaO99tprr99a03Wl8wPYwtvrG4Lw6YcfMMZxmxaWJRFCwYUeP5z56cNnPvwh8vOffub9/Z355ZV//Md/w/P5Ge8D8zRzu125Xq+YNCGSuF4X5ln7BEMdVg6hr+66rmJRPYdDz3CAdV14efmZIoX/7n/3b0EMgYG+P4PRgdP365XhZMlZh3GNtaxxxVjFgq5ZXQpYSxY4nJ/p45VDClwuV3rvSOusgzwFhtDjjec4HLHiuE4zf/+P/x0vr6+8fPnCkhPjcaQbPH9//JHXb1/59vLC6fSB4+EPvL69MpxO/Pzzn3h9mZimSZ/HNBH8PSJGRHh7u/Dy8v+sGDh1WuScWdelZiWtjOPA+XzEWltJSxHJmbgmvNPv1/mef/jpX/PHP/6Rp8OZ6/XKfJ3pQmA4fyTPCRmSDhaXxLJMxJh4+fqVEBzDEPDOKLquOlqOw0H7IM7RdT3joM3CLEUdraYRCwqh61iniTVGuq7jcDxuRKMYI4eDCsCXy4Xb7crYD3cqVX3PlILgmK4Toevwfcdlmv7X+4HYa6+99vrfUOmwsA6aeutqfrAOn1J0eFhKoXMeZwOd65Bi1DVoDbmeb6nRauu8UFJSF6UUnKnOxr7HdYEYsyI/TcWzIhSUmmSMmo6sdcSc1GhiDDiPrU/WGrtRd4zRyBFjPIXMkjIimXnV9aULgTVmrtcbzlqGD4pELyJMNSOxlIJJER88vu+ROhQj6OCsweJDz+F45j0VrA10QTj0I+sy04ca4VZUIJ1uN758+UXXr9qPN0XwXoeTcxZKBiuWNEXc4DcCosFoTItV4qLFUdZCFD1I+z4QHNhgCd7hUQ1g8EGHhTF63daFuM6kZcX6QBalCsZlZY0RHwLiEwnhtszMJXF4OtHZjnHUPVhBhUMxitrNa0aSELqAx5OXRHdyiPOU0G2iouSyYeJzzpX8EFjjuuVlthzNRnGgPlYjW+70wv9y7SLkr5UoYg0pG8bMGnU6xpQQexeL9AMoFcmqOQO55kAYo42zvgv4oO7C4IPeeKr70FlHF7qHh747AXPOLPOkj+/AFLt9PcZVUbEOEMW7qYtOcwmbVdjUTXBDvjZrdoy2uiUOdXozbCzn9hxAb2DOBvAWZ8AeT6zLlWWdWdelvmb9eyFIRZwIFKdNTK+OCn1t9x/K5oZUoa9i7dqNzDz+HbP9rj/Ytjo/dcLCGg+uYIw6GaTkikJxGLUq6GM4g3Fum2oppZCkOTEF7/XAoO6LKgKTQXSaQhEr9WZWcm0sNwyuJ3RqtGRJpCykmFnizLKsWOvpO8XbOKs/foK6JxQRl8kxQ4rk5JVj7VwVWRted5+g3Guvvfb6PcphMEVI8wwk8jIT1wVr2sCKDgClIjgpenP3HsmJJHo3Ds5SitM1xKhr0EihdzpkUoyhmOrctxUHblWY660jhE5FtVjIRHwf6Yae4XCkGDBGsEYqNlawLkIpekDqlKzQnBctP7q5DbsuYKzmVsQ11YOZIUXdB3jnMN6RkmYWNUKAuvZVTLPWYqw6SSxgXKiTjur0LFk071I9n0oRcPaBQiCQi651Bl2DjaGnIy9KU4CsFkwLlfOqTUJj0f9B1w9Y5xFriFIw1hOcr9/T18Mj1C9gbKDzPc46Xa9TJqcMzrDcJvArsR6U4jpzPD/p+2sMWIfHIPX91ENjm4DVPU3JuWZvNiRtzeioE7CmCbgPpApTqRLWVlSrsxScHtjqvqfh2vfaa6+99vrt9fHTj7x++8LxfKAfOr69fCOmzPH8hHMd0zRzuUz4vtdp9jo5/4e/+1ecn25M08R//E//zMv4xk8//R0fnp9xQUkIQ+pqD8CSs7AsNT8wKbmgEXuWZWGeJ3KZtixKjPCHH37kMB6JMWKtrwPDQjcMfAgDWG1ktVxCY6CUjDH6uKGKnCkn1nXmcDxyvRY+fvzAskRyXjmfzzgXeHn5RggdMWY+fvxEKl/IAp8/f2YcBy5vr1yuV5blxny98Hc//cjQB759ewHJvL+94Yzlw/MH+r7fMi5TUjR8jDokezgcMMZwu90q0lVFxsPhwB/+8Ae+fv3K7XbbXIVd19H3PcfjkRSFedJGX9/3hOo88N6zzDPjMOCMirHjOJKLZZ01h9IFJUqMYwBJrMvE+9vE6ThyOIyKVivg/D0Wp+S8oWKd13O5re6TdV3JFbXW8LGtp9JQrPM8U0qpuaDjlim2ZT9mpR6IMSzryrKu4Ox2rfbaa6+99vp9S9136p7LxW49bUDPssZqhiLQzl1QyXS0gBZoSJ/t/KduGbDqrDTOYazDlEpANM1sY+uArq2knDqU4j05J9YUKSVjnaX3HZroCPM0syzqxux92GI7NsGrOvOLFGKKLHGtGZBC51VfsEaF1SI1lC3rwK+1lnEYiMtCXiL9EBi6geA1GmVdVoyFHONGQSiVTpgl45yv35Mt5kXNQOpjsrWPb61e25wzKepzA3BVG8FpDInvwkaI8CFsmNniyh0KKZr3nGMirSveuZqtmfDBa45mTiTJEBxdLtisA7wu+IpcV31mw+lavdoWoD7+XRepMXcPGkxb79vfWZZli4trLsktYzQ/6i5mx7H+F2oXIX+lcs51ejHUZpKKjaUIOaU6/K7W7oYSEx0kqBtR/fAGH+4oVowiQ5zHW79lQzZ35SN/+M4jhuRcPdDIZoUuJZNzwXv9ZY0iVMFVjOjjqzGbENkEzJzL9gPnvK+OzLuw2v7e9h3qD5Q1ni6csAaWZWWaFpYlEtM7YDkezgyDBu4KBYx+b70esOVLlSoY1mkBU590s6pvEwn1zypCtizNls+lCQve+YpCyw8Caq64lSpCtrwra9V5URqiVsXMUjIWt6Fr6nqlrgRLnUQFmwsFq/S2HJHasHbWaGak6cAcsXFFZCFlzauMcaUUU3NDgqL1RJ2bqKmi3tAVV2tirE1lFT/LPlCx11577fX7VRFyjEzTDcqC5IilkE3bfLZDiZBEB1iMCAVTw84daY1YV7C5VKGwLb168NlwnTQEugpdPnhCP2CsilDWq5M/lYzNUQWu+r3E1IzFihvBatNrHFVw04yFDh8CLnhSTmAaIpSKEq9iWM0/KqVg+x6HIaaVLBnftYNFzXn0RkVDtTxuIp2uh5p1YQ36WKgT0rnvRUhoIe3lAVdqVMSrGRTWqHiZjas5k4LkrBhTCw6HczqYs+aa3eAsNoQ6HGR0jS2potiFLEKoORWKMc+a7+gUCytJKjmB6sKY69rsddjLWIroRCR1n6H7QBVMTVUWRZoLUj8f1ihy9Z7DqdeipKjPFbbnbG1zSraSv/h9r7322muv31L9MPC//z/8H/n3//7/xTTPDOPI2/s7uRg+fPzE8XhkjQkfOl6+feN4PmOMx1vH+fzEhw8fORxeuV6v/H/+/f+b5/MTP/30E0/PZ7ruI947LpcLv/zyFWstnz//gDWO6/VGKcI4joo5jQuXyxvGCNfrldPpCR/ClpfkKprbGKcDRKZjiTNPT0+s61ozmhKXqyJMZV2xzjEMBxUjg2OdX+m7AWstt5vmHF4uF/71v/5Hlnllmib++Z//xB/+8BNh6Al9YJpm1mXheDwiJRO/zHz9+qIOQoS3tzf6LrCuK0PX8+HDh61ncb1eNyExxsjlcmFZFg6HA58/f+Z6veK95iXN88zz8zP/+h/+gcv7O9frlff3d263GzEm+j7jrOYy5oqYm+eF6/t/UoEyJWKMhBDoh4HL5YKNQompNgId3jvOp5FPHz7wxz/+R97eX0gxM10nJSmc7mtyw73nSod6zH6y3tEbw7wsAFsvoiHr+r7HWruJkF2nLorr7bZljj3mSwowDL0OsKO5knvttddee/1+9SgepZTwyWOcIVNjPwz1Xm+3iI2W3fsoOLU+cP2mUPuwTR17PMc56yhGKnGgfPc8Wj9ailS0t6PU4R1jDGN10hnMhi1tYlbvA33fb0hP6xzBe7rg6mCvvqaG/AYdoHHWYlChMpdMyXoe7pzncDiQY2KSG8fxwBA6zABv376xrnW/cLvx/n4hpgiaaEnKSd2jRrYIlSwNb1qFW2M0eqWulWvFvW46R84USc2bpAPC6P5M9Y+CsRYXlIIwDANrjNymiVQKiFFHahdwtg0J1+FmazVex9kNu/v42FLuf25fM1XcbSKkr0NIj5jVXIeUHsXHaZq+Q622vURzQTac754J+V+uXYT8tcqJ3o/g+m0DaqwnF4GoTsISQZxavnOpzrqYKJIQKfVgoaxioCrtkZyFYRBlElt1XBZJig+r0/PW6Q96vbfRModapkCbpMtZ2dLWtuBWh7OKCA3BIXJX59vUwWOOQc6KLU15ZVn1uTQh0romjGVKDdFFCsYGQjdyPBVSMVwv7yzrogzppMJl3x+w1gNCjInNCUmpAp+6KbaWrXPVJWm3m7neWPN243gMhzdGJ02l1OawqS4TjCLrqA3kmmul/7NInUxRjKq6VjbhNxWdcHHtZqUM7dxcHgDWY40g1lNM3had3BYDY3GuB3FIcSBrzcDUA4zICkz1BqVNUkkVkesMyeiBLVbXKnUx9L6rocZ77bXXXnv91ioxaWPu/RtGItYI3tXsZMkYo0M5fegoxuo9vuYlma7Ddx2sgliLeI8pfmtmpbSCCGldKTlipSBZp+ek5ho352IuBT8E/X7WcIuLhsg7iyBV1NP1R4yBophR2xyWGFKdui8A3lFyqpONQggeirBMsw5BmYpkNRDXRTOQjMeWolj5onnHihPTJl1GKMbpmm2N5lk7/e/WNZFyG1/cBLq292gDTcaYiqwtelgKHRTIkpDaEJRSkKyodAE94NWlvzlFrKuDQsbUmUbNuMToUFWHOhpT0UlQweK87n+S1HXeV3y9CJISuPtAlBjRPUNVCdVdareXWIrZSAYYxbwZYzTbog5ItYlZjGaNVtI9pjY9MUZfp+yy41577bXXv0TlXLhcrvz400/88Y//kW4wBN/z/n4BY/nh80+cjyeM8/z4h7/j5eWV23Wi73qMgXmeGMeRz58/cz6f+fbylf/wP/97Pnz4wPPTEx8+fGAcjzw/ZXXOWU/fjxwOp9qQ0jPm8XhCiHz58gtgGYZhm76/Xq8Mw8jhcOR8PuG9ioNtYXDOqTOw68FYvn17hSqSxZhx3pNL5NB7co6AqZlHlpQK/+Hf/8+cz2dCCJzPT7y8vBD6jsPxtDktxnHQ5l5JfFlX/umf/qm6IiZ+/PFHPv/4E5fXN17fLipIDsPWoHNu0X6H7zDWY6ynAJ9//IF1XQn9wPV65dvbOx8+fADrOJ6fGA7HzeUZ10TwFms9Kftt/2GD59u3b3SdZjzdbjecc5yOR+LlRkqa2x2XiHOG5/Mza5zoQuA0HlmWmevlyvnDB9ZlIdXegq2NyyKiblGv08DO6WBYQbYsS8369FtjsjUiY4xbPyalWHsOSp+g4tUbQUHdlNocdq3Bvddee+2112+q1sN9NK2klIgpIg4VzowOtbZ+cuspC4/mHh06tdZuPehGE2y0via6bY9bz4Q552pQUtGvff9SMkJhGIbt/JjXhHUWN9pNX2jn5BACx+NRc6ZFY2FiyUiN63KunmvVXokp6uQ0jZonSuWhCCZLpQAlXGcI3jP0PRITXXXveeu23npMia9fv/L69qYGnZLAKmUoS8GKYKhZlgWyJtIgRkVBQa91Ljr9rCJhNTChjklvlRaUYmS+TdtjF6PxLTFZUs7cbjdu01SHh3X99KHT3n32CIJzlmBHbPD048Awjoq/d0G9pUU201FK6pDcREhrt1zIR8GwfQ4ezVjrun5nzGrf4y+/57qurOu64VofNYu9vq9dhPz/oUREf+iqEGQMWO/gcdoiRmwfNmfi44c0+L7mBuoHVDeohZQiy2I252PDrWzhun+hnivqJW8faGMc6rRQR2AuQhHdDDtXECvVKtxyJ+UhSN0Sgts208Zk5UbnVG/eeZsOaBMC7Ve7wasjIuDDgcOo7j0Bpmni/f1Czpmnp8Q4jCrcZs2+1B6h2SZPbJ1koKYxOWcRa6APrKtU1vUdL6cHB7lb4lumVHUY3sVVT6XA1cWj5jpSh1pEqqnD1vdH34NUMx8RsLbcpyZs5akJmg0VLKYExBRMzup8MGBEX6dQG48ORfDamiVpqJZuPbiZtOpzA7wPKv4aW983dIql3swVP7vnRO211157/R61LjeIK3ld6YMhWAs5YqQ1qcAVwZSsopvoPTknFfsEEKd5D5IixYYqzEFJGYuQU4SiApuUoutVS5AoGZzDeEuxVXSrk32+67Cie43gFIOebSRhIWfSsmJMrtOaFsj69RTxweE2FIgKess0Md1ugDD2neY9iiBZ7nsOoxOPNq3YnLDogSznQiwgtmCdp5EV1AZZh28qNuaxROSOOBHB15B4kwsOg/eBbIR1mvV6GUMxOu2I10wPg9ucBKWu6c45fNeREZKAsx7vQ92jaePSBSVL5BgVl2NtjWm0eCzZ6EAVomJscA7vnL7PFWWTRWitQn3XdBpTBFJu+yAdb9LXe9+r6F5ERWZEKvJGr1OWew52O/Sq2Fqvq3x/Hffaa6+99vqvq34Y+fj5E/N848ef/hV//vOfORyPGFu43WZe/StPT0+EABRD3w2UXCi5EILn+fkDl8s7t2nieDzw408/cr3emOaZkgvzvGCtZegHDoeRGCMxRk6nE13X8fr6pnmH0tW/N9J1PcF3IHA+n7HWsq4rLy9fiXHlw4eP9H1HKpF5nrfcp64f+PDhA8fjiW+vr7y+vXG53BjGgWEcOA0HlqTotGE4cLtNfPjwkcv7ZesfjOOADgdHrtfLNlzjrSHFhZ//9GfWdeX5w0eCt8zTRMs5/PHHH6ujw2xNuYabba+76zqMMcQ18W153ZySzvna0IsMvV6nFDPWOk7HM/bsuLxdEckMw0Df99wuV3LOnA5Hvn75Qtdp3tP1emV1K10IpHkBDKVk1mXler3w9vbGuiZS1Mdb5kh5faf3AVOFQ2utYuDq8x/GQZ0Zfb+5PJrbxXu/NSxb38ZaFZIf/5xKVPqSUfxeqeQnU3sJwXtSznUwe6+99tprr99edfCz9ok34l/KGKckObE1w7Hi000j08B2Xy/57oS0D9+rGWeaW1GKipelEvhKw3mmRKl48rZOKtkvU5JyS3PUv2NwSM4bXjQuq5KVeoO3biMNXC4XbtOkppujYGyvZqaSdejYsK0z7fvpqbSeX3OhxEQyFocOFzfyouQCTvsOXddzvV35+vUrl+u19sSLpqSIKBnK1tSUR7fhA/moaQ0xpfvZ2ehAVNd1+OAZOnV/ShHW6gh1XqNWUs5M88wSdd+zxJXD4cAwjhyGYRMG22M757DB47pACKE+zkDwGhtTRMmVSm1UMoXqHfc1u+FToblkzfZ5eDRureuKMYahPg9jzDaE1P5/EyAfn+Nef7t2EfJXSt0MCZMz1nucD4hknDPbDawJjkXS9uEDSwierlMXZLN+g7oTDRXjVjMHHj/0IYRN/LPWaNZi/UEoUja2ckN66oe/3QCEIpk2Vt+MCSLmux8y57RhZ60j54S1kXlZ9d8XISWd3EgpMgzDdjNv/x4AMZRiERzOdoQw0ufCuqws80Rc54qHzXShhxKovgIwtuLXrE5r1Bu7QbTp6AzO9dtzaIccZ10VXStq1SjnWQ9H2vBrYqO1GRFF52qmVb0li1SHS+V8O4dHKEWfT14FJOl1r/Z5FRX1spaaH2mqs6FIFYuL0SxININSKNWZaTE269SGFFxwpBRZV8O6zpo5kTLe+u2m5b3HVSwc6GRKypmS0y5C7rXXXnv9TpXXFdYFZ4QhdIydw5igE3wPWI0YV7Ae431t1lm8CB510BUDJQGs28Lr6rouWXOlcaBHBYuYO57VW0/nA9lakhSyCP2geNU1LppvbH0d3NF1pZiizwVFtDoXkJpTCGCco+sDwR6Iy8R8uxCXBaTgrKJQl5ww0dENI51z4HtSUZE15YhLCZPThgzVtROanU9Ec6Cph46UFX/eMila9V23IU2tqfuYXIjrihghp5p1JYXOB4pN4MGKot8NilKJJWMz6mLwFuM1GyLmjBHUcWBqPoc1QEKKiqbeBxX8UtJBJ6PI2ZQjUHQfYC3eWpwxmmNZBdrtECFKOzAuI/WxsM0NWjE9UukVzU3ZsqxFcNZgHg5o7eCCcbS52u2qGbNbI/faa6+9fofKwG2aOR6fKGL5+LHwy5ef6fuBnDKvr69473l+7sipUFLBoIKRNpcSnz595h9PB/7jf/pPXK43Pn/+xPU6cXu/chgdBkeMLR4l0PeO6/VKKYVh6On7jmma+Pbyxvl85nw+16ZVxDlttI3jqHmSOXG5vGlsh3es6wrc41SsdYzjiHWOru95f79ymyautwtx6vn8+TMl63COwbIukcPhyLIs9H3P29sbp9MJEeHtcqXvO15fX/mn//AfCMExDprP+Pd//xMlJ6iuhJwz87IwDgM//PADb29v6ngQ4fn5mb7viTHy+qrCY86Zj58+cTieuLy/8/L1W410ccQ11QZfINh+W/uenj/w5Zdf1H1IpUR4T8wJ34Utf/JwPOKM4e3nF+I8M44DXXfkz39655/+6T+yLBPOaV/gdHrm8+fAbVk5P3/ABr+tv8Yqnv12u7EsC9M8K5bNKMXA18Zmayhr1na3DUW3Qe1SCuM48nZ90yEwp8NTy7qyVmFWSUjaFF3n+X+ln4a99tprr/9t1oY/bUJkyZhilSBU++TaL6+41Rp59t2/5XtnZS53Yp/Ig8Ovnufg3mNPzQlZ8Z7OOUwl5qQYAY2AKTVuJK+JJBHJOpTqrCU4T1cHXtZ15f39net0q/FwHV3vySIUo9hvAUiZFudVYtoyLKluQCkqfmb0HOq9Z7lNWIFi9d92fce3t1feK1IdYzbRTl+7tjKKZUPBlio26JmbTS9IKdE/uAxDCPRdRwgeI1S6opBy0q5I8ISuIxtdM2+Lro/DOHA8n3h+fq64+KJI8yIVF4vSElo+o1UcqxE1NpWcWeaZ98uF9/d37aNU12OMcXOeNn2jrfFtnW+xfG3QSkQ2h2rTgBp69XEo6z6IvNd/rnYR8lfKGs35KwJSm2wZg3NJP8QWcsrM00yW+we4Cx19NxK6gGiCK6niUh8507Y27BTlkaoy3wRMvdkosksdgsY6cqai0hzOalB6s3pvja8aWCtYYlpIUQU1df0FNgqIqCtR0TF3h948L/XGYVjXZXMD3jMbFW+jiJKi2Qn9qK6HdcUAa5y4vL1AWRiPZ4wbsF5RJHptHd53pNQQbZZ658Ba9/9l7893LEmyM0/wd2TR5d5rmy8RkRvJqq7uAWb6rRqY96lH6XmQBqYLGGAK00wymcwMj/DFlruoqmzzxxFRux6ZrKyqjKpGE/qRlu7hZnbtbqYicr6NnBNd59fiezUhajRdqv1WUAvis953Ux9/rhfnLOD7Xp/v6jxQV0bGkDBGcMVgez0wpBTpKMRkkOqIVBNiJOZwNRMs9bUTRCzWCsa8qh6M0Xi++kiBuKpGjRWcawoZ9ZCUUjR6NUZiWGqutRLVOuzUgXaIGq+3YcOGDRv+ehyPz4xW8F4A7fWRbHh+eeR8PlbV/Y6dH0kUxBhOlwsxJtwOjDOEmNdNbQFiPQgUMSSjakRyVBWmsxhnwFpiyjW6TYjVeVlQx5z3PcYaOulZ5rkeAox2QrrquKvriLGOIrrGiTF03mMp2mWdIpfLxOV8psSIt0aVmiXTj0NV52suuSr/9TDRhD4hBI00MTqEK8YqmVbdgtodmdaEh5xASCTAVjLSWlt7kXQfpaRsEwJpbJmI4F3teeg64oIOZ0VJWuuqu1QE8Va7IERww0COBbGOYiziVPglxmDpcF4VqqREyUkjXYwQcyJncKLqS1NdqqUVy6PZDBqBK6u6NsWIJNEO565uoatCqXWCi3VVmarre3O+zmFZ+0EbUs48v7zwx++/p/VpFIwqZjds2LBhw1+N/e0d3jlO55n94ZZf/OpXvLy88B//4/+X0+mM7xI/fvxBo7WKZxh2WBF83yHWEuLC+XxBjOX9u+/oxp7Pnz/j/cC7d3tOxxPOCX3vmedA33c4Jzw8PFS3oboK9vu9njudJdVodhHh5eUF7z2Hw4FxHPnxxx9VtGoD07JwONx8VaNyPp8Zxx0pqWNwtzvw6fNnQpy5nE784Q/fM44j9/f33N7ecz6fr1KUVOw8TRM3Nzf87W8e+OGHH0jLTAgL3377K5w1zPPMy8uRvvOq7BfD/jBiRfjxxx95Oh55++YNw27H5XIhi3BZFrxz3NzfM4RQeymVvPT9wLe/+CWX6cLxfKbrepobM8ZI3w+Mw0CYAl09tz8+PnJzc8O8LHjreNM6Jo3lfDrx8nJktx/YjT0vLy/c3BzodyNhmVliJC8R7zzj/kDXefyYuUwzaZ4Yx5HD4cC8LAzjqHs/I9zc3ioZOU/V/ZHXXqgmOm+EZHN+NtfLPM86sDYqCGsOyK7ryDnjrLpwDGxr/IYNGzb8jJAaB5pSJkoEI5hoME7jsNv8uZ1XW+wq8jVpZIzRc3wl69pt2lyUgCRCnd2rmCWvf08psVRiy7TYbwFnDcs0k2Jgni5ILlgrlJgoVvcCd7e39Uxf15d6Vg8pcrlcSCVzI3fYviOkM67vGPuBMM+co56jS70PNlmcUVKuE8McIjllzvOiZKB1vEwzOeX1nN6Si55fTsSogmjnPSFq3DvGkmudSAZiKoSg52rj3cpjxBAwolG046CuRCuGFBJxWUgz2tNZNB1wR8F1HdY5/KB/ileB1c3NjcbF953O9Icekz3n85lcExXPlws5RIZ+wLkmXhZ8p+Ti8XTkMs08Pz+vhGkphd1+j3EWezxq+kFd31eXaHVaNmPYbrdbycaW/NAid1U89uqcbHuEJiDb8KfYSMi/gDVW6yrKNKZMkDaU0iFSqW4+Y9qbtQMMOVXlQGEduJmqFtA3aI1ozUrutQ15KYlUXW9d12mEmZXaY6gXC1njUAohLDWfuY69SgLJxKjxsDEkwNZfDP1RGhdSNCIV0G7GjJiCdTqonJdQHZd27ZrUoSMghhQ1J9vUoakAKcxApuSZnAKXy5mYE91wg/cdzndoqFkmlowxrsajJlLUC3xJkUyurr9S3Zy6aBhTnYdFXZtrRGzM6rMUgFeSt079mo6jmlSEnNQ9mVKC1BQcatXXtUpHqSmr8zGERRUhyirTSo3b69m+P6VU3aqmLgbVSSEG66R2U6l93XmPL3q/s5ga5dsKbW0t2u3W95pw5ZTYsGHDhg1/HUqpKkWh5EBcLGmZMJIZ+6p+u5wplwviLdZ5vDH0o6PrmxNR+wNzqdf+nNHUzqJdDVKgJL14Z3Uhaq8EGClrv2LGkCo/ZWpaQCpJ198aDSMYJAuSa7SMtRjnKNWtKFlJQecsWMN0OTNNCylkHGAqUem8o3NOB6y5oEnlNeZ8VYXWCJmc0AzyKgSqcshSlGCtelHthdS/qgqzSoXiMmNebxTTCuaNBZLufIxQrCFLwXZd7cIWFRiJIaNxqUX0PlAJx2JVpGOcA9chziPG1wNlwpaaiiCJkrTns+pc6/6OrxbVrAonYlFhlLGmCrjaDg19LkrNhS2iKQ7WaOpBU88q9ayQFhN09b57jang//f3f8//+r/+v3DesEQ9lG1OyA0bNmz4eRBiZhh7XLGcpwXXBTo/8qtf/Ybf/e4feHz8zM3NnlIyX7585OHhHfd395wuF96/eWBeAj/OC5fLhHGJm7t73rx9z/PjE2WJjMMOEVFBck7Agd1ux/PzC8PQc39/z+fPn/n48SO/+c1vuLm54ePHj+v5sUWWPz09Mu5Gbu9uOJ2OpOmM8wMvLy/0fc9ut8Nao+TZvKwdiTnDzc2B3f5bLs/PhBgQEf7xH/+Jd+/e0fcdy7IwjrtVQIvAhx++xxnL58+f6fqe/9v/9D/yq1//iscvX/jtb39L33fs9g8451QMVdRl8e7te55fnnl+0eHdMgec89qb5MsqHh7HEe87TscnpulC12knVk6FFHWtHYYdfTcQY+B4PDFfprWHsZF3BU0E8tWVEJYFMRp1Ks5CKhQjzFHFwsY57t+8ZbqcWZaZ8zQRYqJIwd/sMKsbhtWpoYlJhlznLv0wEHNiXhZKKUzT9BWRu9/v186nlpiRcuYSJow1eN+tKRGmipJLziTUndFSrTZs2LBhw1+HGBZS6nDVuPNVch9cnWtVJNxmxyr8VLHJ5XKpManNUFIJJe/x3tX1uiX6aUR3u03rHL7O4fUnl1qPpukFSwzEORDCXNfSghMDXU0uLIUYIufzGWMMXd+D1Z9/e3urZJlzDOMAInTDQLKRNM1rL+Eyz7XWzJJCIDQ3ZRW8tEoQgxAWdRGGsChh5xzLsvD49EQMQZ2W9RyuB2VTHaFVoJsjLgQWa5nCTBd6dXcWnV804k4qGalVNFrHskwTCY2S7ccBa1oVij5G5yx27NSkVQreO3LKLGXR1w1YQmCeJk2sXBZSiBC17iYHfe36sQcRLucLc41SXUJYOz2NNRyPR3qvpi/tbK7PX31/tNjWFsfeXu+27revb6TjtWmruSQ3/HlsJORfQAgLvtpwtRNRy8czGs2prkYl53a7cY05FRypKgReN7otMlSdcnpxkvrmVTJLI15ruW2KzLMSb8lbXDLrG1zEY0Rt1s4ZoFBCqix+JckoLDXqJaWEtb7+Ir3ax/PVsFFdiBnnLN4bQoB4XohxIaWvf7HAgKhqQooSerbGqux2e4wpUALzlKsV+kIuQko9fckaM1qEWKDrekpRMlUw5JrX3TKq26xOFSYRa13Nec4r8dqUKCXpRdPU4SGafk2z34u08ljLEnJ1V0JZqI71tA4HlezUJyjlOmjNae3lEKqlux5cWjTL6/0pNdI11ehYlPQFQF2t1nm66kTFzMQQmcNCCBr/l0uprlsL9UK+xbFu2LBhw88E0R7DlDPLkjiXxHR6obPq+GtO+yK61pacsM7qupsyMU6IVXVgKlm7maESSFYdilIFNKg7v6RK5tnaU2gE6yxkQ0lldb6DkNO6YqCevELGqtte9AAlzukaURVPKQriHLoPMCqKchGbZ3LtfcZKvU+GXBKmaISpERU8GauJAiVlRMJ66JKVwltzWdXt14Z6IjUYfU1t1a3FVbypkrSJJKjgqiQlIY26G00pFOt0h5qFXPRR+9pZKQLiO0zfkWt8u1iP2A6cJxslJjVYoR5ES93npEIqscbtGM1WeOVOSVlfw1TAWMEKZAymqFu03QExGvWeS+2VoOj9qDETBVo6a32foYRxi7Vt8auipLR1lsscMM6RMeoW3bBhw4YNfzWWJZIzGOtYQuJ4vHB/e8Pd7QP/7n9w/P73/8jnzx/58vkTbx7ek+JUhbmJ6XLh5XTm9vaOInCZFi5TYLc7wK2lhMD5eCLGgPcdZVm4XC7VORex9p7L5cLpdOTt2zfM88IwBMZxBOB8PvHu3TvO5zOn85GXl+cayzqpIyNGfvWrX3M6nfj++++5ub3j7u4ea60OxcSQkrrxdrsd8TIzDCNv373BWsvxeOR0Oq1DMqCKioVjyfzud7/n5uaG25sDxgiX8xnvPb/+9a/5+PEjv//9P/PmzRvGcUSwkDRudp/aWVeY5yMhRKZp4nA41OGsMIw7KMJhf8f5fOLLl0dSSozjYX1s87RwOc9477m9veNch5fH4xEnhmmatAvTe41KtZZ5Wdgf9vRdx/PnT5ALkUIOC4FaV9N17DvPvqZMhBDqIHgm5cQ0TerCTIl+GHRo6v06fMYI82Wmqw6J5oRsw+3L5bI6IFoPZtd33O3umMOir02BFCOHw4FQnRLagxkJm0Niw4YNG34WxBRX59qVN6RCexC1hqOs5FDOWaM4SyLGxLIsesYXnRw3h2DnfZ0d17m/1dqv1i2Yc6Ezum7FlPAiXxFUBkOYUz0D5zV6td3NZZ5rImIgxIj1jiElxFliSnTDwH2vDsH9fg9G6z2stZraExPEzPF8IYaIs5bcZ1JUl2Kq4miDYKwmFMVFhUoxJlydRUzzzJfHL0yL3p+8HvNNnUGrbFjdnVorYut9XsJCTpmuJgFBm7crWVfEYEUTjUrO5JKwzjMOI7txVKFTDOQZvBno+o5EIcSoNyfKvdgq/Dmfz5zPZ32tlL4gpVBNVvqzO++VHK7fkynEKgDynafrtZvytaru1Q163e0YY1y/7vrjWpTUYtmvHbW2Jh9s+PPYSMi/hJKRkoipEGvsRhOvCYB1GFE3Q9d1OOerC9KSUyGGXFWRSkCWtc+wkFNYc4ObdbeUwjiOLMvCsiy1iyqQUiA7u/YS2DYAq32HWrLrKhHWZnyxuuoWqERcKbWol1xL0VtXZQETQNR63nV+Jf6WZVkvjo0EtU57Lkttpw0pon27+jid9fTdUEm7mVwSyzKRSiKXhHd9VUewFv6qW1QJXSMW19tKBr4SfClFnItrHKxeJFVN6ZwhaWGUDhKTYEzCOU+1bmpcmlB7q3QIm2Jao3RzztUqQjNTAkpIDl1HMnor+rpqb4j2P5k6wNUhpRQhi5KPSiirm7KQtY+qlJqtbRAs1gCu4KoaZDIL0zxrWXFKmHooKpjNHbFhw4YNPxOMsxgLOczMaSEuFyRGQk4sWUvbnfN0/aAEYAraYyiQS6CIdkE251uuG1CDRUoNEK+OQo34bG56LVK33mlcpzFaGYlg6yY9Fe2OMCIkUwU5GUhFUxZsoxkN1HjSXAriHKloBeVut8eLcDkawimyBB3oaQuDqjexDlxGxGl8jdU9RaZG1iTNLrCm1MjzDDUanaJCm1IjyPSw8NoNIbmqL+shKOWk61oOtE7MRHN0anrAVDf+GKnkqjoPs6vdF1awfYfpPLkYdZ1aSzaGLPWwBORSM1FjJseosTc51VeqCZxMdR5CRsgZUhUz5fqzQO+HWO3XWkVKOV+5G18PHuUnB+Dmu7TOYWocaxHWQ4zzHfMcGMee43lGnFfCM29E5IYNGzb8tdjtD/huoO869gdRUvAyMQ4db9+9Yxw9//iPlj/88Q8MXc/p9IKxhl/96je8nM4cDnvOl4nbuwecLzw9nYlJY00f7m8Zur4OxU6r+PRyuSACIajjoOs6hmFgWRIvL0esdfS9DjdPp1ONVR354ccPLMvEMPT4rieEzOl04v7+Hu89j49PnM9n3rx5qy570I6iOhx8eHhbCdUnfvPrv+G3v/17rLPEGFiWhWHomaaJ5+cnpvnC3/7Nb+j7DmOU3Pvhhx/WIdtut6PrOmIqfPr8iDFwt9thnMXXHskQAr7v1jV7DguXuRJ8OVGq2DjnzLjffeUemevwtQ3zTBuyAvM861xEwBnL89MTxhjGcSRnfU6m84VUh8bDbsR5y+6wV7lWKRQ0jj2nTL/bqSvFZmKLt0s6eE6VTLVOh7HjONL7gf1+z7wsK+F7LTRujpU2+O77Huc9cw6EnJCihO2yLJjzmel8rh1VOm/ofPff/fdgw4YNG/41ohTW7kFrNJZUCck6I3eWLFr/0cQkX3VHVgIJaVVbr8e75pQ0pahpyGldVoittithrJKWrqUUFhU4e+/x1uKtJVbOoKSknYUF0hLIKa7rUDf2a+ewiowEnFldgv04cJ7PhGWhM5bb2ztyv+NoHnn89FkTB4zDIkgu0IEVJSLDrOIY16reUKJsrCRgCJpG0ERbmaJnZjHkojVwLbcxl/L6Zynrc1H9NlAgGgNZnadORAlDV8lI6xnGkf1ut3YyzmFBYqAXra4pVn9uSkmF0FYToVq1WsmZjNA5T+d0vS25sBS9HzlnTNa4WeccNmtPpxPHuN9xOBw4HA7YtRZP90jzPGsnZn1+gDUJoXVSg+7pgJWnaPuB9n3NObnhz2MjIf8CWrxmitqVmJIy96v11lVrLqgVGIFicM7irF4IQwgUkkaktjFktSanK7V7Y8yttesFSKqaIuWIySDRIKLFso1sLHUI2CzYGvuViUEdkXq7TgvqhUqMFXIqNLe6CGSZMYYagxLqvVIbtHY/mtUNmkrC1YhRg1GnSK5j2JQoGaz1dL5TR2AOhJKJYdHeJV+wziMIIStHqL+3qi4xVkh4rFv9FPVxth7KZvq4djhWgtfUjswMpWiUmt5A053o7Rlj1qjUnHQxSlpopfF5ss5SEVM0Ws5Y8MpPphp1m+oAtqSijokW6ZJrq1Stumz2/2bx1gUwr9F2khKGUhdRV98TSRUs9c4YkfVzGzZs2LDhr0M/dHgDMQdSzOSwsOs7JCcVmtTUAMyMxWsX4hoPXjDWaQSJeV2/NazFQFTvYiJpzHgpVUUIYo26Lb32SKor0elG2mgceoiRVBWEYrTnWLKuJdpfqMeBXAm1fBUBqj3IGYzVsveuI50Fa1QkZJ0h5cKyLLjerCXurVfZGFHur+5XWh64GFn7KhDdx+ScarzY60Y817jSkjI5hFb3rCrQJsKRogJL0UQBDCqcKhqpIsWCsTXyVN2SufouxakDlCy6IBsHxpGNAarDMWvvUgqBHBYkZ6RkrIiuy8i6zhcRUqrhsqL7mYKKnTD6mlpjMNjVCWlEVHFblbFNfttckO3va+J9/R9BKPWwWyikkjHWEHN73JvWaMOGDRt+Lvi+w3cdzvWUAt4npsuCiOF0OtN5z9/93d+RcuTzj5+5ubnlw/d/wDrHw5v3lBq16vzEuLvBuUiMEMNMj2EcNAlpnuca4WbZ7Ue+fPnM73//e25vb3jz5qFWtkgdcGn1ytu3b/n8+RPn84ndfsfd3R3LMgE6g+j2I/M88/3333M4HHj//j3zoqLolDPOe3a7sfZctQg5r9GxxnJ//0DKkdPpqNUtKRHiQoiB/X7Pzc2Bx0d1KL57/83aNfn09MTz8zPH44lxt1+Hu18en5guJ0IIPDw8aGfjPLMsC4fDYZ1btO6kELR2ZZkXcsnc3d6x2+0QI0zTTMnQ94O6IueFm/p4vfdr55Ixhm+++Ybz+azDQApLWCgC928emC4X4hJYYtQBcHW1dJ3HGl1bc8yIiVgniGWNV/Ndh6sdmSEGpLosLtOE77uv+p3asDqlRN/39H2/ukGNMVzmiSUuGGfX9AhjtBdKh5N1j5DLV/OfDRs2bNjwX492drVWzRwlp9qvqMl41jrgtbasiUZTSuqOa2aPkuvnrk9hOjs2xuCdwzhPEcGWgnOFGJTUtM7RdR1TjVtt60XndK7vjYWcyDGSY4RSCEvA2U7vt/eMuz390FMA6z2ZAkbru6y15FI4Txem84V91/Nwc4v3HXkJKvBp5p5cSDFqYp9X41Is8apeTU0t4zBwc3PDNE2cTieOx6M+H7ToWp2BFxJWWn2aPiWVb1PTVSUhrRhM0XlECIFiMuSCGOUQGkPpjKZACoUYdV4ec8IINWWo8iQ544oSj8TKt1TxUFiCiretw1mn9TZAuszElFjmeY1JL0YjZ4e+xzirPdC9Er4GWVMK2h5DExvG1QE5z/P6nmkxve39c008rmYt+1plt+HPY2Mz/gJO5xOvv22vbzzvPd57xHpVVeRMzIkcIEVISfC+YMThvH11J+ZS1f/KTLWLIbCq6fTfBBGLc15/yRNVvTHVX4QWM6r3R0zBGcFWp0Dm1VlorcFZX/sc6y93yoSgJJp+XSamC8YKi1k0hqy6Ibz3OFuHqkWdmXFJJLdo9Kz1GGr8mSi5qTFmHiMdxkBIhhwWUoqEFNBRnkGM3vdcCikWcqlErgguBVzXLrrteSqkFOqFT15/2Y3asBuxB81dmckpoC7Uqm5BSUtnjToWqy1cydmMcZV8zgWkRa0JQq5Dx6p0KfpvUi9eavHOlBqvl6Re/K2+lu3+z/OyEqraMVl0AJx0QPp6MdOIvSUESr0gN/fGhg0bNmz469H1OzqbKXEmLVLdf9obKNZia29zCBHjPc5avO8IOZFTRIrBO4+4ViavG049gEhV5BuiqLOQUohFg8KxqqZMqCDIiGCMFqovIVTRTqoxoK6SjpClxXmaxg3WeFFRwq5EdTjGhWmZkBCUvBPBOM8wDLhOo83msJCqe9+KJiOYttEutkahagyrEbAGJfHqfUg5qfAohvq9phJpeXUgXM6Xum467X0QgzX6+DUW1uIMlBKJpWi/Y5Z1n1Ny7aMQVWZmEbxVB6fqIA1Yve+i7KLGr0quMTt64LOlqMuUvCpcpQmO6nOYa2xPFt1DpHoQYu2CrsKnejAUUwnI6khpLSSvgavtxSnkUnuh6lqe6m4Q6qExsbpL18iNDRs2bNjwV6G5Clq3nyAMw54QYk0UEozt+M2v/w5J2hP05uEtHz78kRgjf/tv/i2Fe15ezjjfcdjvcH7gdHzh8+fP7MeRru84HG6w1nK5qLPx7/7u7/jDH37Ply+fMUa4v79nGPYsy8w4Dnz8+CPeW7777jt++PF7lmXm4eGBlPRrzucz0zxpooHv+PTpI9O88M033/Ly8kwphX4c8c4xTxcK8Dwn+r4DCj/++COHmz2n0wv7/Z7jMfFyfObl5Zlh6Pn222+RnNjvDzw/P/Hxxx/Y7fZ88+13/OY3v+HL45M6DqeZ4/FIWBZyWBj6jq5TgvPdu3d8/PiJ8/nMMA66bhfACDFmnLGczmdyemEcB/aH/drl1PkeO1glIBd1HsTgCNOMFWFaAt57UkqcloVpmrhcLpoYdZlIMXA8Zj5//sx0uZBrZ2Tr4jKTqKArBPquZ9wNnF+OdLXvu+t7TV9ynq4D6zuNwl1mHh8fMXOgH/vqQrF1f2Nqb5XHOatE6VoBg6ZSpMxxOmKAvuvwzpOtukhSSqSgIrMNGzZs2PDzYOXHjKhJxur12lSha6HU1JtCMUazeGKslVmyOum+SrhBVjJTBSnaDZmBzvlalaICW2d1n3GZJiXQYmI2M84InVeCMsWemCJpUZGOCo0Lfa9pitZarTExwvl4ZI46C1/Xl5yZT2fmy4Qr2iftXVfFSDuWy4RFcEYn16bOwqnORfX7tDygUsU0w0pAno5H7W+EVTDcntkmyjaFVQQNGoXrklWXv9NKtLbWWalJRrRMSKEYQxFDKrDU2bc1jpwC1uhjzaXoOrkskIVlnjX+tXOkUnh5eWG6XHBiMPfQG31trHOMGKawrCJgMaLE425kKBlTXaW+9UDmwjLNzJeJy/m8rumaTuhYskazdoMKj3rfrSKr9gGsaZXXBGVzVG74U2wk5F9AXBLBJ0x9Y/sae1owxFzW+FFBibI5REoJ2BjoshadtosXon1DpWjClxJkdehmHNFajWfphleLeAIpDmsMmUAqkZQCKV2gqHKg950SYVZ/WUrWgekcQETJ0r7X+NNUs5CzzTiXqvU4kGPCZQcpk4teELOIdjt2HshK3JVEyYEUAjGcSGKI1uJtp6W9zjEMlpx18GrLDus8JgZCKXRiSSGRlkgmMex6dZIAyRdCSoQUlRxdAikur65TClLU1dDKbnPJ5KiuEnKCVCBmSoyV8NVXRx2tBbI6RMQKxnqNoCuZEhIhzcQYalwa+j9StOsLoFzFrdXXBwHjqg3T2KsLUiGWUBcNHYw6J5UI9rRo3BhrlF2q/ZHFrESq1EGvlUIkkFMg51QVIxs2bNiw4a+FH/eYEnD9TEkLUSKnecJKQYrBmY6h3zGOO7rB83J64fPTc43e6sgxM+y1dyCkSMkqelmWgGTHeHPL3X7HlCPH6cI5LBjr8PsRsT05qfPd+QGKx1pHXAIlJUbvAMPT0xOl60nWEJLGng7DSAF1z4VIbz3OV0WfFS2Wny6kZUJy1JSDuxtS6JhTIoqlu3tgsE67q52jIEr4JTBGSM5Sigp9OufonMGSkbyQQqDkRJpm5ssZUmbsBzpnySWRSsSCltfnWdc354jJUaxlGPckUZemtYZ5ntTF4Hqs2GoftBjxGgFjDEhS/ZYziDUkI1hLdaEK1lg9aOZCiZFAIqVATAtGMt5bemcxZOb5QiGTUyHliDMOI57O9diuI4lwiZFLikxhwknCW01wMKKEs+8GCtqtfU0ZtgNJwxpNk8N68CNLJSCFIjoEjSnVxIUWg/Pf4zdgw4YNG/51w1tLjoGUC9YKKWYVFfsRIztNO0qJrh/4m984/viHf+Lxy2d+83e/5vsf/gkxM7d3D+x3PeQjaVmQFBm95zx5LpeFEBLGCM52vH+/p5B4fPzCmzdveHi44/HpCy/HR1IJiIWQLvz6b37J09MTpz8c2e/3xCpoHYYdS4ggFmMXjqcvDMPA/tCDJD59/J6bm1uMsSzTiQ8vL8QYddhmHEtQYu90fuHx6ROaylOIMfDjjz/Q9x1v3z4AmafnI13Xcbi5q3GxCx8+fODt27fsdyMpRqDgneHTNFGK5fbmLSKFl+MFY5/pxz2pWOZFuymHflfj2iKX+YwYx/2bt3z58oW89icFbOcwVTd0uN1zfH7m6fMXxqEnxMAyXzi+PEEppJjY7/ccdiPTNNF3jpu3D1xOJ968ecC599iaRDQMA+fzWV0rtXuydToON3tNbqiDXgFCKlhX9yIhgnjevf8FuWRCibUiJzL0PdZ1OlQthTlqOlbOEGPS52HWwXAxVZCGxuRf5pm+6zHeI87hN0Xxhg0bNvwsSNRqsJLxdR3MQIkREw2dDAxdj+88Sy5McaLMmcF3+CoexnpiAm8sqWjSnbUamT7U3uAUA6Vk+q4jxMhoDa6omFjIxGXCUehauk2tIcs45pLAe+ww4LqBUjKX04lCwfV+5QwKajyKy0xJKopOxuCHgd1uR97d8hQKJmROTy9E7zEF7h7ulfycF2wqkAtODCHpzD0sEdc7YkmYztHvRvquV3fleeL4dCTOUdMMvScmNb5oQqLOEZwRjPaJICWtwuSSshKCqeC8oSQl+2KMWnvjjD7+lLHiVEjsPEE0wtTlTHEeN/b044DzjrwkTMnkJbMcz0zLjFQyOS8Bj7AbBhWBDYMKqK3RlEIDSwhYsQy7nUasDwPOexDWzs4cE86g1XvzheV0whijUfTWYMiUHMmSESv0u57OdpSabnjdCwmvqZbzPK+iqQ1/HhsJ+RfQDwNDP0J1Bba40FIgpoxQCSGBWNIamSlkclyYc1wVmM45rBFy1jeqqyqM1h+x9jXGXIk3t0aNliyrel5zqjOxklJp0fgXK1YjSJM6MPywV9em87WrkDXyrGCxyejgzhpychBz7WzKSnCK2q9jiBSpvZalEOJCrK5GvT+G6GZCdYjmrr/6pawdTiL0fU8KkSWruiGlwDLP9KOossQ6HA6XdRiX50grEG4fOecazSJK6tEcohlJ1VlYHQS1yaleJHiNk6sSl5TjtQ8BY8Ba7YnUL3l9vjUH+nXMuJKQUAlRWfO1jVH3hMR2/6uzZv16u3ZcWlvLbVMh1ddPXZX1tc0aPtccqSnJpp7csGHDhp8J2kNctPPPWSQZPB2khGDo+oFh3NP1A7oeWIy5Wuvr9b8JfFonQKn9h0V0lzCFyBQiWQzDOOK7XoUwUvcVNbNTY7tjTQ7QNUiPJJGcpXYXOVLRg4IISooJSCkUyaqfqesG3mGKwZI05lOgxIRYSzGWsu4J1M2nsaktMixVn2EhJ0MMkGLQfULUiNUcAhIDBmFnhJIS8+XEHM64zuO9w1tUQVlEXaMCISyYfremRIhYnO3qeqvJBRQLWEo9IIp4LbUXdUZeU3/a/3SVgFASOce6fgq2aHZMjAFyJIaoBKatqQgi2qHRxGEipLoPEmvAmdrdqR/ZaAfnT6MJmjhpfX/V/2l7hnJ1r1uPaExZ43FLwhnHPKvQKuZtrd+wYcOGvxYpRpZlJqXCOI5Ya4ihilBK1iQC43He4KXw7/7d/8Rvf/dbXl6eGceep8cvxBTxfuRw88A4jHXtFQ6HfY3krI4DyarIr8NLay13dw/s9jsulxOn83ntNQSh63p13RnL4XDD09ORL1+eubm50S7FotGmy7Iw9ANvHt5ojGl1QeRcCEFnDbthx939m/Vc+vLywvPzkzo9Cnz8+JHb21vO5xOPj0+IwNCNWGs5n8/c3t5yf3/Px48feXl5IYTAPM8cDgfu377l9vael6cjl8vEZbowjD3jbsQ6x2W64H1PjIFgA0O/IyyRaZrxzjD0PXe3N+SSmKYTfd8RwkLIiRADfd8xDD3ny7TGqBmEvnYnup3GorburhgjL8/PUDLjOAKsz/c8zzjnKEDX94gxhBgZxpGQk0a65lydkGaNktNZTbfG6C1zYDgMKpbOeV2vSym1X3PAGMccZiU4neXu9p6Y9HlrxGeo8fqhxsXq6xn+xffrhg0bNmz4z0f+On8GoNZsZUyMWpuCwznHHCNLDFCgs07FpaiPxVzfgNRkQVhTE0TU9TiFpPN4aykx1X40/TZrLb64NUixRX167/G9Ov3CspBTphtHDAXrHNap6SbGREqRkkuNNxUICeMzvbF0YumNI8TA+XTigs4jxq5j3O04B03/cUZ/zlQi4i3eOzKFmKJWpg2aBBCTxo0utaNZsw/1Nkvd5xjd4FDDg16PuTV2VlAy0hp1neaixJwYnXfPywJOY2W9HfG+w3U9vusQa8lG+Y5cIKZUHaw6M8gh6M/PmhQkIhrn6iz73Z7b21vG3Y4QAiFGHl+etI8a6E2vdxPWuN0QInONzHVGk5jOxxPHpxfivKhxq4Aphbgs5JQ00cA7lmUhS42drfuN14o13Re0/UkTP23489hIyL+AzvcMw6DMkk6/dKiYMylfXe5E1l9IU/+eNX+1ZjNrNFkbUOZS1ouNrZvbGDU2bMkRZx3ed1f5wnp9cxiyNUi2ZDTyI9bhnkasRo06tR3WD9Cp0q91RVw7+RAw1uCNp2SH6fXCmrIO73JOFAylxHptFY0JKw7rsw5Q11LfwrJEliUQQlyztVsWci4Jaw0Ui88OKYWcE9N0IUum6we8U4WCoeAzJNHOi7aJbx+tK7MVwbaehlKHwOo6b12RZr0w1BPiepAg5mpReP36tcsK1mHmtcphHSRekZCxHiqA9fXV2Dqr0XFX5cf1rcLrGLJSpUZwXUcpYFJCIiyhOiaoA9c6RN3MERs2bNjw88Aai7NQvIfokdytpeeimShgVEwTY1wPOY1QMkaJqJgiuXZEknONHtGNdyiFS5xJpdQIEHVOSlUAalWQUZKwRn+WtDDNQcUyOek6DISUEeuQXDDWqsJQHFLVekWUPNT0gtI4M10Pk6lJANTYUlmjWfQxVZGO0a5CW2PYxVmcEaQUKEl7pRYlI3MIpLBgxXK5CH3v8c6Qs6s/F5xxBBMRKTWmRGPWuo66j8qIMXirToQY89rpTHnthRZjqHdbHye6RgqyEr/6+GsiQYqQM9YItlhKiXqQjNpNDXqQMdYgqAgopkTMiSga/4oRjcipB0Sp+w5E1jX9vwzl6n/1YPvv//2/Xw+4rcfkv+62N2zYsGHDT3E6Hen7t3SdXwkmZ5XcilGFqs45fNeDKZQSuH/zls+ffyTlSEoLd/f3TJcLQ3/g5u0OEc806SBTz4e5rteZeVYX5Nt3b8k58PnzI85ZKJYYC5fLUutXYL+/oWRYQuRynumqkFfE8ObNOz59Ei6XE9NlIqeASAdo79XlckSqyPdyufDjjz8iRgXB9/f3Nf61p+s8nz9/xnxj+OWvfsEf/vCH+pz0zBftXxQRPnz4gPeeN2/e8OXLl3VQ187fwzAwXRZNdPKOeb7w4YcPDP1QD83avWgBvKWz4CwIibhMWmuCxtZ9/4d/ru5NWJZZh69L4PT0zNir68TUHqnWqdjO4c2BIKLCoRjDSiKO4w4oLEvg7u5Ohb0xsqtDyv1+v5K6bY7QnAvAV5U71lu+PD+qIH0Y6vtF5xwxRs7nM4fDgf1+zzRNnC8XZMpgdDbRdV0VPmvs3VzJVe2Ymv7P+FXYsGHDhn91+Ol89vUIVdaUOmstfuiUmJunVcQjdW5/LRRVAu11Jtzmu/O8rLPocbdbxUBrDzIF0EhO69xqoAmVzJJhWGM7wxKqyWVmitpx7Ephbg66rDVtJSWNeI2RXV1rrTWECOfzmRQT1hiG+wc1A2V9zM5ZlmXhkmY6M+icWahmFo2XLbkQYuByuXCpa6AxGqdqjVkF167yEQ2mRhiUoo5Li8HZ1p/cqsj0I+XEEgIma4qQMQZnLV3fqUjIG61mqf2dbY9mQLmDOoNpz6VYCwK973GdV+7gaq8QQqg9mhqB2/YS2qOdmJflKxIyzBcuxxPLNNN5T1dfn2WayTW+1/YdkrUSLuaIr13RwFe9j7EakNrsf+t+/pexkZB/CUWgmOp+UGVhwSCSQVJV7CuhZ43TgVj9JW2/fHqBiStZtf4SZy2q7TqP9hUulLIoIZkCKUVc7R2w1qpKXwQrFpFEFu1qSklzp8MciDHT+wHnLTFFTL0oNlw79l6JOtGIMxHEg+RESZaUY+1orERetZqb7Eihq51NsuY+L2EhxsBlmWucqG7mTR10SqrknBOMeMISCEtgfpnx80wfA8M4YDqHiKPr/VfkXlNATtO0KgvawUlEiCWvrksqAQmC7TySC6WSvEpYZrIYdFD76jIFvlI1tAt5KQXBfXVh+SnaYabdlrWu+hzSGrHaLkjXF/J2W+tw24JgcVKQZIixVHdk1N7Rv/5dvWHDhg0bUI7ROQdDh5QBJ4WAwYhuzjGGVDJLiqQUEeNwnSrwxGoEOcaRY16j0GKJiHOYZDleJuL5gnQON464oVcS0WjnbxGpcaIqAsopQF7IKTBPJx3OifYOFuqByBhKjAy7EawHHCnOYHRjLrmQUySXpIRmSSpEiokYNWK82Lq30cIEPXyJkq7rHiFG7T2smeQqTlJSNIeFkrQPUkrCiOi/WYMR8N6pyZOMiME7q0ImGpmYSUU7pK2oG7H1LhUSrVOTrN0RoKKpYoomtcrrmtlUmLr+F0gZYtauj6SOTan9GLms96Ku8aY+t0pixlwIJZOMpXhLEe2NsL7HOa/Wyfr9lNf78J+Dr5yQ9dtyzvyH//D/oes8IQZiyOu/b9iwYcOGvx7Pzy+klDkcbjkcDrx7946X5xPQCEQljLzvCCWxTAu7wz1LjMQ4U0rgdJp4uH/DfDnzz//0j3zzzS9w1hNTpB+GGisunM8njscLDw8PPH55ZL/f4VzP89MTfd/z9s23PL880XUDRhzDsOfu9oF5Xvj8+XOtTxHmeSZF+NUv/47Hxy/cHKaqrI903pJSZuh3+vWmDR0933//PcMwkpJ6OC6XC13X8fnzRx4e7gkh8Mtf/pLj8VgHnJnT6UQIgXEcOZ/P/B//x/9B3/fc3d2Rc+aHH37gn//5nzkcbhDRZKfb2xv2NyOn4zOQ8MYS5iNShDlHwnzG+w5vNLoupkSYTjw9PbLEhRIDOeoQ9nI8ElOtWzFuFTLvdjvt0aqDvNbruSxLHSobDIVp0sgznRGc6yA2sixTXefTWn8yTWeoIqtSEtY6jbcvqRKWC6VYvPfsdyPd4Ov36/ygc5ax79gNHcfjkfPxmTDrc3LY7bjM53Vm0WYCOWtcva9D2lIKzm4juA0bNmz4OXBNQOZKjHnvEWPxnV/FJV3XMbbEopiQSlKCznGdc0qU1Q5GqUScH3pSShyfHpmmiWEY6MaBUlA3f4qQ2kzXMu5G+rp2TZdJic/zhbAs3N5p9Lk6BGdCznW+oBGu58uZ6Xxh7Hqsc5AL8/FMOE14sbhBxS1GDDkm5kkFLfO4Iyc97yOC846YauVXzrVSzqorP2V2XU8MStydLxeWsGj0ap2xW2tfU5+s1boQdM+k9Sc1pah+rXdO/11kJYGbIcgagzEWJ4ZpmjBWNI69VroZb+mHQQU8RnTuUEnOZVk0nr0KwbVf03N7d8e42+lzJIKxFucdN7e3Oo+xdk2iBHh+fq6R95oy1MhJdUNaTUAKkZenZ16enum6jmE3Ik5jZVPoEGvwvvvqPdOIzkZsNsK7FH0Pbvjz2HZAfwEpq5quxIQxqfY7utcun+ZwiyCurMr/V5KpYI2shwEdfNWh2VXhj/YW6sXQWUvOqbojVRmfrcEJOlAkU1KkJI1HjSGQQqJk6FxH1/U469U1ERZyVda3+9R1qv7UC+WrUiE3eqsSkqYIJVt1DIjReDfReDQxhRLAYDSSxmS1dDtPCBdSjjSCr3UuqJo0q8WZ1yjYZQ7keSIWvYj7odeDi/ir+FVdDK5LYBsRee2IlEr7QXsNqoWcgrWsh5FXdcK107G9Xl+Z8V/fC1eRsO3iIyJr7E1DUQulvtpFL9TajAu55PocrsZMoFQFbfpaxSNapGvQEl6qKsdsB5cNGzZs+FkgoopC8R02jySBoUaHp5hIuRBz0a7kgkaMGrvGsFjnNB7UGozTDXsC7QmyjrxEUk44a3F9RzeO+KHD+V5jXEotcRejasjziRhmYphJy4yUCEX7hDUOtJFyCUpCiln7gqV2JxqBgkaJtuVMspCNAeuQ1o1sjBKDRrQjCY2Jl+qEdFbJT+stzlkKhZiEJdWfTcKIOjI77xhsRymZeZnJJKzXfkbjHJ33hKwqQee1T3HJBZGiRKixYDWiXqyhcq2UbNe1XXVFQpHX2J2WFQBFE+PJSkLmrFEqMayHUSuvz2POqaYsZIyz2l9VatoL+jwb48D6VyektTUdQp2k+eqn/5fh9b6rGAxOp1dXRNtDbm7IDRs2bPjrMQ4DOWXOpzM56dAuxqJCYO9VZAwabZoKrt8xTSe64cDeHYhxwlrDjz/8SOd7GOHDH3/P+2++YzfsmMPEl8cjMUSGYeD29pZS4Ntvv6PrOoxxHPZ3PD5+4fb2geZCOJ0mLhd1H7x7956bm1tiDMyzkmyn0wXnRrzf03U7LpczuVw0oIHM4Gx12E0Mw8jDwxueX458+vSJ4/HImzcPLEvgn//5nxmGHhHD8eXEuBsxxvLy8kLnPH/7t3/L58+f+fTpE9bqbTrnuFwu5Jy5v7/HGMPxeCZLZp70z7ubkf1hpOTI2PeEeaakTEnCMk1c5hMpBR5D4PPnzyzLwjRd8J2j7wZyTviuY+y7lbjzriPFxDzPnE5Hcta416enpyrMduuZX9f7uA772oer6/XxeOTm5gZr9bGO40jiNTa/neljjOz3eyV+q3My1vjUTKoCM1PJzbx+/nA4AOpGWZYF6+zqcvkpCbks6qBZXRPb+r5hw4YNPwu+SqmrM1PtfbZVYPRqbBEROucoNYEopohppFmt/PLeY6yeDWPWc3gpml4TQsRZTSGkhZeKUVKw6DRd6nqWU8bUmNIl52rAUbKvAK7v6K3OmDvviYtGipYqrnVitBYkF8J84fj4RH97YIlBP3/VezxNE2kJxJRw6P21Vl2Zrq6NGimeMEb/DOtap6mD4iwmqfHIqsMKRLA6WMAg2Dr79o2YFMG5SkJKSy8qLa4IZy3Wq2jbeRVuw6uz0RhL3/WVYzGI1TjYnJXbaNU2xun5vR80pXIYRyUYBT3DCxjrNO6+FHKruZsmpKYd5Lr+932vPZG+4/xcKCGSYiTM6qQsWV+3kgdMS1jMBefMmr7U3K/XBrNGeDYhVd/3/91+B/6vho3N+AvIlYSMpXU8OJxXUq5IU9IriSQl45yhc90aEdrUezo7tOuFIuVETtQL0mskCIBzqhoQSeSkXQlxyRRrtWuyZHIOpBjXDxD6rmMY9njXUcRQpGi3VE6IdFebblUAXEeQYrTTSi++1LolVRjG0i7aemGwWC2itZ32aaQAkjDG01mj3UYpUIpe5KTZtVNmiZEUIlYM1ji8d8TafbiEhVQgof0ciUypNvnrQ0eLNAlBFZTtAmyMofG66/Duihxsj7WKW8glfBW3CjXrO+avvqcdGJb6Wv7UCRlC+LNEKbaRk7IuTCpOkfbjEHTwWWjqndf3TPv5iNFBNwUxQkzbwWXDhg0bfg4UCpjaS+w9UhKSC9Z6lmVhPl8IYUEwOGcxdcBVCroHoK7XpgmUND7bOkMpjs51mJzVeWgdtuvod3u81y6GFNNKRIWwcD6/sCwTktVh2DuHCBrj6jvE1Cj25sIrBXIkF6Ggqn5xNQXA2qo+dGoQNEl7sErSKNg6INO/5xoLWz8oeGdXJaHxtiYcZKR4JCdyKLWcvmBKrnEoUfsjKtk3hQVnDK4fkKjCKusE3/dc5ldRkro89eDyukTqAUjqIWclHwVWJ2JzNhYllNsgmSr0Kkn3UcVajPPgLM64tash5YJt0fpiwdZOEOswzmPqQdTWXvBcXqP3/yUC8jr6/s+94/RrrtIPiroyjBXC8ueTFjZs2LBhw38dbm9uq5C00PmO0/FESkV7lIaBzvdrfJpNHdZZegCBsFwYhgNhvnBzc8Onj584Pr/w9uEtHz78gcPdPUUMMS4417HbjQzDSM6oszIEjBHevnnP4XDHP/7uH+l6j3c9y6Ln98fHR15eTtzf33J3d4eIqV2MN3z48ImHhzdKbrnEfu8IIWCtcDy+IBIQY0gZnl9euLtTwvDl5YUvXx4RER4eHuj7nocHjWv73e9+x243qksjJn73u98piVYJyHEcCSHQ9z3n8xkR4fb2lrv7e2zXE2Lk+PLM09Mj1hTG3vP5+KwdVPOCKYYQIj/++COPj0/VgThxe3urYuqcuJyPeO8Z+j3emjXGTKNVC6l2RVJTlaw15JwAW7sYDTEGjPHr4w0h0HXdOoyepqk6RB3LonODYT+uEXxtfgB85bYUEU1dWmbECjGkdf5w/bUxRpzV+5NS0uFkyrRTfJsfiMhKQq4VMlvawYYNGzb8rGjz1HaMMqaeYesMPEYVGAs1UrRASYlUYJnnWmHmkLrmpJyIKa3CoNqWSEp6ZhbU4eedVKGqpumssaIxQtbYz953VfSbuUwTGKEfBnxxpJzVhBTiakpJMVJc7R8skENkOp25xIVidD3q63oXQ+B8uRCmWaNfMesJ1Tol5oZx5Hg5E2NkGPy6TqbSEvd05ZJ6xm7VI+qG1PhVU8CIwdXUJKlOSdsq2HItSmnn4FKwxuKH6uq0SjIYkdXc0wi7kgviBF/n5zkpuThUUrGgZp51r+Ys4myNZ63dMwglKNfRCNaWQNTEQV3frTHqnfOYlLClkqJRk52s84zDwND1OO8wzuL7DnGO42X6qm6tOWiHYaiiM93PwKvxa8OfYiMh/wJSCpQr1ruUxLxovJhm/rcNZts4yxq72siotqG9zgZ2zkF57TVQ6Ia0FazrDetmveSkSoys9yHlWDuoEuM4YozDGo81XkNTq/POOSU+GyHa7lMjzdao1lJIOWDEIli1XotozFwdkH41UxPBOE8pEbLG04rTHGgnllw0CkVJ0EimRo90QrG5FtvqELHvIJWCyZlcexxCyIx+wEgr6X0lTnVgZ9fnsz3fzlolh2nDWVUxtAvXGtVqtFBK3aevSsjmSJTmBDVmfU30W2W90FxHpbX70Q4YOVcHaH3uX+NwC6Ckdbu91vdpxIEUQmx9nKoMaX2hIDjXYW1hO7ds2LBhw8+DIlk3slJIyWGMZ14u6k4vMMfE+TJhjeGmv1UFn9U48RgCw2jpXadpB/XanDAM/YiYjs5YDeW2guk6MA5rO1w3cJkm4hLou55cMjEHpnkip8ToNR5kHHrtYxTBeY/rOlIqXOaZYmtEaqFuwgs5R6wMKnDJWV2M1hBDIpVCMaaqNvUx59xUm3VPUllIa83r/kTU1d8cACEsNWEgM81nXc9zj7f9OtyLKZKSdhgXscwhY5xn6DqM6yjV+SjOU4xRkU9WoY2rMSrWeQy+OhSrgKr2M9Aid1DS0TZBT9aDWlwWwjJrNKyzmKIJEpTC6aKuQ2sdzhmMtXWIK1hRpwXeUqylGEvfj5WwFaQIratZ5LXb8T8HxhjmoINeYww5tehVSKmQ8kY+btiwYcPPjd1uxPuO5+cjOWe+/fZbnp+PnE4ncs68fzesZ7Xb2ztCjUaz1hA6T4oTvh+4vbvj9vaeP/7hD3x6/Mw4z7ycz+xvbnj79i37/Q3W+Dr0dKtz4nyayEnY7Xa8ffue4/GFeY7sxgMhLNzdPnA8PfPlyyOlFG5ubsg5cz6fefPmDeqc7AgvR5wz3BxueXz6zM3NLfNy4eXlmffvvyHGwDJHhn6HNZ5pPvO73/2Ot2/fstvteHx85ptvvuHXv/61DmPTgZfnR3744QdyzgzDwOFwoOs63r59C7C6C0+nEyFG0vlM5zxv7m6YemGeztzdHPjdP/yW6Xzm9PzCMgXGYeB8OiMl8v7NQx2EDtzc3JBSIixJCc4Mh8MNx+MRYy3TMjPPGq+634/knDken9eIsy9fPq3DS2stfY1ebU7FyxTWvkcVVxfE9PjO1fN7wrkmRIorWdn3/Wv9igje2zUVQkRjbeMyM4wj3pqVtJ0ndYt2XQclEUMgz434XFYCsg1s46zft8WxbtiwYcPPg0YwmToHbudV3/l1ftu6CHtjeX5+xiL0w0iOOsPNUaNMXdaEnFSyGmVSWs9u3dBX4bJFrNZ5uOpucc7pvHmZyVSxSp2hl6yiJ1c5gZyTpu0A+8NB59s5c3k+YsTU86+pQl11IMZlYV4W7H7Adp6+6+hrmsM0TXz59JmU1bkfQoSS2e323N/t6fc7lqCz9FwKoVa+2TqrTvX5yjlrpKp3r2k9tetSExgBihKGRTsbU9TIWYMSiE4MfY1ON9bSDQPd2NdzdqZGLipJmhJxWZjOgjitcSkla0Sqs5hOMGjqlPOeJQS8d/TjyBwjTqBM55pKtZovSSmv/ZDte733dH1Hf0UWWmtxnZKj3mu/5HyZMEZTqpyzjONIEe0PTzEqgdzE0lcO3Gs3ZDMxXfdFbvga2w7oL8BYwTqzKvuNMaTVOaDkI9XyXEomxvxqB6cRTail1+iwy1RGT5CVICxFiSakKh+KElZFrwD1ApbXvgLta0ya+ews3utQ0+AIIZNjqh1HiesxmTFSicHXC3LOSa8HCKXkGhf7+hgaSnn9ZSMLhVhdCWYd0FEy3juM2hLU2ZgSKRYMWeNJnceiioeUEs55tXOXTEiRkAopR6Y0Y6rSog3tXu/zq1ug/eKnUunHersFwUhj7KpLEY05FSuk8DUZ2G6zJB26KhGo3y3N7XJl5W8/u+H631JKSO3FfP139P5d5WSbqtqgxudJ7caKBc31rsrd69C5/6Kp54YNGzZs+BfReg7JStI1Qk4oGNexq1GhJecaoap9jtYLpa1xSE0fsKur0nY9xnZgLFnU5WZ8h/GOVIRQVYcxZWxShyEI1vtaBq8nD2P10ESpRGDStcD7jjmqwwLRDXcR0SiT8hqxnmLtOgyREFr6gQWxpBKJqfYiC2uHQosebSrI1ulgjGBsQaJUtaOh8173JqUwzbMKezTHgGKFYmx9bgwFC+JALAWLcYJYp8rQktShqS8AphglUUW7LQpQDFXpqJ8rqZBTgvoYrChJaEpBcsaiaTmmoHuSoukKy7zgO4/vO4zVDo4YIq7bgbWIc+Acxepr1w42DVL03+A6el/xn3Ix5pzZjSOn85lx6Fni9PXXb2v7hg0bNvz8KFq1MQ4Dy7JwOh65u71lv9sRY+R8OlFyZtjtEAQrRtOHslexzipKzVzmhfs3b9nvdpxPZx6fj3z48AOXy8SvfvUb9vsbUpqIMde5gQ6ilmXRjmfnuLm5rS69gnOeEAIPD/ccjy9M08T5ckakcH//hhAD9w9vMGJ4++4dX758JgPj7sASJt69/w4xjsenZ948vGWoUarn84ndbuTTp0+M47g6DV9eXpjnif1+z8PDAzmp47EN7FpX5FIj46Zp4unpaXWR/PjxI5DVJUjm5jByfnnm5emR8/GMNZYQE9PjU3WbCDEn5svC+XLmMk0abe+8ipwLTMtSo++1ZmW32wGvg+XdbrcmH51OpxrrqmKi3uuQzznHbrfDWrsKg1ttS4yR8/lMCIE5hNUx2WJnd7vd6vi8TqYqpSBW3QzDMBBCICd1SjSHQ4tfA7hcJkIM6wB8nmd2ux03Nzfr7bY1P8bX1KMNGzZs2PBfj5aYA9Q4Vr5KqGuzYuscyxKUcMyFZL2KWnPWrsB23pRXJ6AYNblov2SvyUdG/1uMfU3as5aUM13tdSZlQlkIS9AUQKfiE9/1FCvkGiMaY00QQmp6kUGk0Pe99g0i9N7T+Y5EAWP0dpz/qnNwt98R58Ayz6TQBMqGw+0NWMtUu5RbuoAYIZbMvCxM86T9kTUSSWqkai5Fi85aeiJ1bt5+aE0jiksgGIvrDaZz69zeOqdxuM6reau6Tq/X2ZgizPo5Y7XLUpxWslAKznsQ0ShVZzGuxru2JMei6Uf6WqlwKCWtXMm1C7NF8rY/m5kpxMhlnrnMM0vS18j3HeRC5tXslCmcTidO04VkbOWArmr5KoZhYBiGr9y3G/48NhLyL0CkOuOM/jIYoyQXkrWfqWgngZBxtcfoNaJVf2lTDBRjAO2RokakNdeEGAGsclGV2Ew5rd2F9avUKZECc5i1c7EOHLNANhoLh2jvUzZKPpbagaiPRfhTQiyTcx0yWv1czqrcaF/jnH+NDE15jRW1ok5QsQYjtir5wbaLl7hK0tauwxZUJxZrXCU+M0sMqzNRL+QZpBCX+Lpo1Ezr5kRcrdt14VCHqaoVS2lOCdaLxPqYRYle1tg3uerLLOSskagt5q39fLWbvy401xed6/vYnueUdKDaCOZXIvH6vfXax4lAMS0exiIYYtBc8Bzr66T5fzV+d8OGDRs2/LWYlokleHwl58R1xKW60Z2lH0eM00SAknWzW0T0kOEsGViiknkJwYpGd2IttjofjVEiE28x3lFqebR1DsFWkrNgfcdufyAuM2G6kJeIt4EksRKTibKEehgyqlZ0Xkm9VCgYnO3ofI8IxGSQ3PqoHdbVNceg7r9soXZDosnfX621LX5FeyYtxYClYKyjkOrXWVIKpKBEZCpoEoPTw4d4JWSLceA8YjuwHWIcndWoU8iaOlGj7WPKGD1qQV0Pi04z676hRcjUw2WKmsJgrPo4c9HUiKQpEm311WW/aHwNhXme9SDkNEpXrFWS2VqwlrwODdvqfcVGFuG/FM190Q4/4zgS4umvfQtv2LBhw4b/BM6nM+Mwcnu44fn5mZeXFwyW+/v7Gr25EJaFyzTRDYMq5526KozrwXlOpyMxBnw/YgDre775xT3D/sjj4xOXy4V/+qffc3d3z9s3bxGxTNMMCH0dXAI83N1Vx0GqZJin629Zlgv393fs9iPPz8/84Q//zJfHJ948fEdIia7rePPmDbuDEqfTPHGZLnR9Tz+MnC8Tf/zwgdv9gXfv3nI8Hnl+fma/P3B7e0uovYzee3a7PSFEvnx55PHxiZeXF37xi1+w2+04nU6UUvj48SNPT0+klFZyz1rLzX5kWWbifCHFmefHmY8/zEhOzNNCTnBzuOHt2/dMlwvj2DPPF06nk8aV9QPPzy+cLxOlCNM0I2h0rXUWSGus2bWDZXUbAvv9jhgTxginl+c1Xv35+XkVArfUpL7X/qhGrN5edV22GcL1mf7631Xs/drvdN3/5Jxjnmftmcp5/d7Oe43Yq+5RV4ewp9PrWl9KYQnLf8ffgA0bNmz414trkYeaSL6u47oWloRZ1/scE4Pzq5Ak5axmoUaQmSrArUSkdZ7eWFyr59Kj5vp5MbYSoDW+VLlQFerGSE6Jode1AWdYsjovU4jaVUytRqsOQ+fafFrnBf3QawXM4LG+ioVRLqDrOsbdjmgXKIUwzTonqI7GVgDSjq4pJXJN9lvCUutJtB7NGqdJgvV5NWKUiBR1ZDoRnFEuw4qpNSh5jRtfb7+m/ZTq/hQxWNOG8yCiJHGMkZAi3dCTk9amSHsOpRBzItazvPUO33VKFLY5+lWkelvHjXl1IjYRUUtLaMRtjJFQAksMxJLIArY6JMMSKILO4S9nLvPM6XRijgE7DLW+7jXtsEW4N7Skhnmef7b3+L82bCTkX0BMCzk7SjFrzGaL86QW0VZ6DmtbxNlrbFn7hXy9KF4p7K7IQWOb+o5KPrb4Vu0tpAgkiDmSJUMtSTfWEnMmLQsSCwYdSIJeIK7di6+/mF+XqIJ+TU4R0nX8qBrAS/2lLjX+LKdMTgXxRnuMaolk5QFZ5lh/MUHEYS1QDJKFkhMpgtiCNVUpkYrawJOSgOvF277e73ZhEXmNu233f73wFVWcNsdiizNtQ8QWvdq6F/Xx5fU5QX0TlYBtBO3r58V8rXa4vm/XUa2aCZ5ZlgspQ4q5RtOmleDUJ7ggvEa1ynrBdDTDhzMWYzMpCTTnR9hUFRs2bNjwc6DkTMoJg3YuFATrO1JY1CVoAGfxRom+2nyunYEiq9BH6rVfh5dOiUWxldgyGoNqdI9QilAwdP1IcWgZegpkEWwlyFJYKGRSrgIU3+GsxqWrPqhgW/y5GAyZjDoIjXG62S/q9BQ0vaHru7oGZkCVhE66mmhQjymiZGJOGWc01iaVjGTd56SSoGgnpSAa5VIgSVidoCJFib3OYX0Hzq8xtsX2ZKv/bV1XVYsR6hFMo1dTOy5BSVV5aZS8bUtmlqs4FP2fQtbnNteuyapi1fXUKJELeN8TojoickLTLqx7FRZxdaiSKhgT/UwNkv8X2iD/02gx674ecEJK/C//y/9zdWts2LBhw4afH+1cLiKM44iI8PnzI13XcXt7y8PDAyklnp+fOR+PDOOIkwHj6zm/xnLvdnuQwhImPcNZzy9/+Wtubu75/OkzHz994tPHT8QQub9/YJ4X7REUzzRdmKaZpV7vh6HHe8c0XXDestuNfPnymcvliHWWh4dblpCYw4nTpzO3tzfMy4k3b95qX9HuHU9Pz5xPE957xmFP3408PX4mpcTd3R2fP3/BGOF3//h7bu8ODMPAP//zH9jvdxwOBz58+COUwv/8P//P9H3Pjz/+yG63Y55nnHP85je/4fPnz+x2O7quIywLh7HnfD5xuxuYpwvH8xHnLKTMzc0Dzno6P/Dw8JYYA84Vcr5hPB6Z54BYx83tfY1LzUzTzDTNGk8qBUGYpjMvL0+rkyGlTNd5bm9vsbWnWgXfKiDWqpP4Ve3Mbrcj58zlclodEH2/J+TEuLtnukzMy4JzlpgW9ofxT94zANM0EYPGqXZdhzVCTpFPj1+uIv7UBdOPA2GJdM7jneeCEBd1psTw9eyiXM1bNmzYsGHDfz0a4dTm7SKmikdezSYxRtIlMV0upNoNuSzLlfvwaye8GMGJQ705r3VgwOq0Syl95XiLKWn8jq3VXyLqtIwa1d0PA2PJqvqtMa3T+UyJOksO04wTwzj0jMOIyVBiUvdj1yHG0B92KtMthbAs6hxsJp2U8dXlb1CCTnswNXZcI8oNznsVQ5X82s1YnX/edVijxKPUONYWF9vIwZWcNCrIcdapw9AYSsosMdZ4WnVulpq0VCiEkMEKDo/rHKYIWfT226zfVWFxIZOKGqBS0Uh243TWIlevW4hRycolYLISnq3DuZHMPyWqG08zV7OY7TuGms4YLtonnUrmfJo4n88gwv6wx/i+pjIp2nvDOX0OWhxr+zkb/jw2EvIvIMVAjAu5KhGkDigxgilOnY3VwWdNi+ysY6r6CwxXQ7JKwmHV+dAUE5pwqv2AIQb9upSIKbwScEUPQ129CIkIxQg5q/07V8JSjF4E9H6U9aKq9+P1AvoVJOsAtvBKlAkaD1ut1iuhmfIaeaqP314pB18LgfVwYBAcxqrrMaYaD5cyxaZ6IXOYkmsMW3X51aiWRgSuqsScCSH8yYUk50yJBWPKSkIWI+pkbU6GK0I25/aYvnY0aklx64ksqxtVREhXU8eyfk1+Jae5speLHoqMFIrR+5VzhhxrmbGSnO0+6W3WHkhTXRk6etVhclV65FIwGwe5YcOGDT8LjKsKujroosajuULtXk4UKThrGPpBI0Ktq4cHjTrx3tG36BFrMdagAeRr9rb+rcaJgOjPonUT1xj0AtTrv+8HJHusqEoy1shW5z1GVBRlRPcRRcPHEXSot8y6+U+pUJL+3LZPqbsCjW5tTkdpBJ4KgtqaFEquBwjRAaHR/YFue1SAlevjMs5Riq19k4AzIFZVm6Lxr4glG6v/TXsMus5pHaLeP2M1NaKgUTU6mKwHmUpO6mNmFWNJfQJLtS0aEVznKVHq/qk6HHImid6K9x5E914xRox3euBqTktElbFutUJeUZD/5TSktZZ5mfFdR855PSBt2LBhw4b/dtDY8ML5dELEcNgfNNkgJi7nC951DP1A97bjx48/4IyQYiAETT1y3jMMI/3Qc76c6MyIcYbnpxduDneMw4737z37/Q0vLy+EsPDDDz+QUuLh4YGu86QUKSUzzxPzvHA8So04h70bEen41a9/ycvLIx8//shuP/Kb99/yxw+fiLEgpnC+nBinEec8vdOOynfvdB358OGD9kM5wzRp1PebN28QEeZ5whhhHNVheDy+8E//9E+kFNiNI1++fFmJ2M+fP/P8/IyI8Dd/8zeEEFYH/2mZYXBIzpyPR56fn4g50vcdBcF3Pfd3b3h5ufD9h49477A2Ms8XYgz03YiIIcQZ5zpELO/efaOrej1zGwmcz0fO57Ouy1dOA4DHx8d1lrHb7bi7vQFYB6ntbN5iZdtg+nK5MM8z42FP3/eMuxHraiRbJYbX5KPWxYK6Lk+nEzFGLpfLOngWkTXSFdCo18vE6Xwm54L3vlbOuLXP8nrI3TqtN2zYsGHDX4d2fW2GGVPXCGNeScOYI0XKup7llAmVhBRkNZJg9MyuSQiWxGvf31dOv6vzckPKCelUwHvtlGsGmEZ+iRV132U945cYkQIpRKQ+ns55wryoU69GxdpKdNkaldqq2lpMamnfO/TkEFlCQKaJBNp72ZICiz4PMSbmZWEOQR9LCwysx149P1/3HrJ2a7a0CO89Xf2oEps1FTCmxBL1fhinXZA5C0UKPvcYb7EC2RS6vtcuyJrIZK0hIZis6U0O/ZN6Znd1jc2lEJMmWLVXw9SEp/b6tLW4zd3b/D5TSBTc0GGL4J3DFlndpC2idtztGHYj435HqpUszQTVeJpxHNeo1+vPbfjz2EjIv4D1jUqdQRUdtklpLrpK9ong6ka3VNLO2lpqHwIa9amMOvWioVbtQk6FWPsDobAsC0hz4qWVEBPj6KoN2TlP0W8nprIOG3Mq5BzISUghrBcJa9yq5K+86Xo/W2ysdUZJxFRq5Kqy92Jd+y7aE6EugUSMBWPUfZCSxtC+kn7l9RuKtJEhRfSCEWICqstDBOc8Uix5jUUNCAbjDDnl1ZmQC8Sg6g1TbehiLSEGTG7sKRhJJJuuDhPX2c2FVB9jyhmpg059QvT+a0lvXp8nuVqE2sXlmsD8ymlqIKewPt/WSO2W0m6MlThdL4RlvVCptb66aqS6OdvQM4NOlTds2LBhw1+N0tYl1ljsOeYavWIpSbuP/TAo6VdVgbloebv2GuW1R7EVCadUyFIwUioHKCt95jtHzkAuSMnrwaLkDim1L6EUSImSAtZZUta+ZN/bdSNtjKzrpxUVrpQa52JMdVwWQCzGoL0J1mJEN/e6pGiMuZ48MjZb3ZKXwhIXpTedBVc0aaC6BDVBvpbTS8Y7iFFWdSdWlY9Z9CBVjK1uyBr/Wvu1QdWmBotUJVSmrXHtReGV87sSE6kKs4Ctz1fWqPhSMoKmLSSTyUGjXnLMJI1i0B7rRmBaq6rVRsyuK74Sw+sRU376l9eO5z95W11/VVPIxsjQD1ymCWsMOer93bBhw4YN/+3QdR13t7eczxdSzHjn+Pab93z58sg0Xcgl0/dD7e87UEphDgsxRbzxVdEvpFQY9zeEsBDCws3tHS/PJ6yx+K5jyHVNEyWlfvjxR3788Yfaz7jj9vaOfjioQ286UUrGe43p/vL4BeffImIYhhFnO56fjjw8vOF8ufD8/My7d+/JOfH5yzPOOjo/MO523N/d0/Ud5/MJcuJXv/olf//3v8UYw/39fe1UzBrvZtQ9uCwTN4cDMS48Pz/xww8/8PLyQtf1eN9xe3vH8Xhivz8oudl13O53uJK53R1Iy8L5dOTm5oa+73l4eAtiWWLGLwVM4scffkBkZug1Dq0fdozjyP2Dx1nH+Xxhvz8QYmCZgxK1OTHu9/i+Z1kCsbohDzc3dN6z3x84nzXe9eXliF/dBx7r+zUs4XC4YZomnp+fSSlqt5ZzPB+PzPPMfr/Xfc6yrMPnRhCmFNeI1zZIbMPFvu/X3snmgrl2Pux2O6Z5xlizOmTO59PaDerrHOea6NywYcOGDX8FlIVbiTOg9vLV+XQJqp01ssZ/l6SEoLohLf3QgzX1dkoNPrJ0Nb6zufBXgq066ZoLrtWFhWXRn2E0Ccl6j+2jcgD13F5SrV3LmaHryFJn3aUQ5plLAZdhnmbiPBPmgDUqek4lI9Zizetcobk/NV1R7+clRsI8YceOfhx56FQsdLqcySmpoShG5nlimmc1HYkokVpaMlGNGi9FOQXr8L7TD+fURWotxun5PlP0ufSeWCNZC3rOb3OSZQnEnInLwnSekBBI5Bqd6rBGNGEpahVOSHElV9XV+JqKmCqpm4smCiqJqOtuSEkFyl85XK8JVT3zt25oUtb3RE46MzBCjBnXddw93GkShhEuS1jXe3iNcG9VNikl5nle9x8b/jw2EvIvIGPJvHb9iTU6PKysOyatb2Ksf51RXcGKrfGflQRLqvbT3sbqPqyk1torUIlFMFpsbw3GOVzfYbw6IVvBbUyJsERMCKQaGVpyIi+BlAI5/KRo3UeMNdUtaaojLzPHgJhGuJnV1ZhTpLkojDi8086kVF7VHSm9knDqtHyNM40xkHLEiKa9pqzOCxpxJ/ocGSd01q8Xh2Wpz5f6NhCxSniS1IKS1bGZUf7QGLdG6+nzqBeJtmC051XVKaKKmHr7a8ya8qVkMXVo2no1NRp3fV9cdUi0BehaDaPXuak+tz/pnLhyzOaUNBrbgCmGEhMpRcI865C1xd2Jlu2aAsuyRbdt2LBhw8+BXBzF9Np/YCpJZQq5JKw1DPt9jfoIBNGY0s4Yus5TSqKQ8U6VealkYkmAwXhLroQiOYNziKgYKOeAEXX1qaBJV11vPE40sjSYjrgsFKNRXqp+dDjfYetGf4lRnYao6MlQ3fJkYpgwYnBOh13aZZk1xdQYxPkaV67Pg1DIcWGeT6SgQihnBeNMjVRPkKqy1HmMsdVBWLsaiqggq+01rO6Xipj1PmpSQQYJQMZ0A9V8Sq5t0lCwRSNcjAHXuimKph0UNJaclJBScCJragMkQolK/FpIudSIWBUcZaPN1GIMYhzYGrUvhoLFiK/3Q+9zQshWKEZJSwDqvkfQQ9m/6GW4EigB6rDMibQUrL4IxKyUbguU27Bhw4YNPz8uL0fMwxs6a3g+nzlLxkbHzf2Bz4+PvJxfsL1jjhPDOKjKXhzdMNRUgcTgq4vwdKLre1IunM9Huk67Bt++e8fxdGJ/c7Oe98U6lmXRDsclEB8fsfaZ/X5P13n6fl+JrBFj4IcPGn06XQq9H3i4fcv3P35PP/S8uXvgx++/5+27d9zsRowxnE9nUpwhLby5P3DphX/83e/oR8eb9w+cXy6cTucqlDb86lff8fz0hS+fP3LY9bx/f88PH39giQsxJ3bjDb/5zd9yPp01Oj6I9kMVq4kMIfL4+IUvX74QQuDu/h3jbk/X9Yy7A9Z7LnPkcgkY3/HtL74jzBe6zmOt4Xg88fHzI851jONI13VMj1/IOa+RadgOCsQyId6zHx2QySkxLYn94Y6b2zdM04VlWTidTyyXABLVjdF5nNW90G53wzDs1q8VEd69GzidTjw9PdV3R2GaLgyDktDn8wuXy4VhHLDWMO5vvuqYBJ0B+L7jfD6zxKDi6aKVOxbDm/s77Yqsw+HDjQ4vc87EEJin5V8UMG3YsGHDhv9CeFHRaU41ga+rbnNNCYopUbKoQajouWvsB2bU7eaHAdN3WO/UCVmTi4qAcbXbzwimZEK6IhRTIcSALGbtaXRi1NciGvHJMhPmwiktDHXq7MTo7KB1D1fDizMWyRAvM6EY4jyzzDMlF3zX6eNIWrvWGZ1v51TJ0JqQtLvZE5elztuF/e4G5zucs5wvMyZrX6W1FtdbrVILi8aeGiFZTfArOa/uzZyUhBRjMNbjuh7rPMYa3NhjnaXvB8au157IrAKfEAJiNMa063sy4P2iUe1dtxK/Ygyj8bgINihPkEIglswSAs57bKczi5QTJSfmOWG9IyflErzz60RfI1wLMSWtt7mcVyFS13WrqMgaQ2c7UkzEEAlV+JSS7jmc79gdDuxu7zBimOYZsV/3Qa6moqjkYwhBo+SvejE3/Ck2EvIvoPMd3veVLFMiqNTBUyMUNZJMMOlPd5Qt2uPaJacfUjekcbVDx1hJsfxKPrYoEakkpHVODwYaDIuI1YtYzZ1eo0hqdFkj+tbbRvOqTVVK2Kv40BDPrKOwZgtB6PthjXFrv/yUrK6G5jo0lcSr5Fp99EBe42ljinrhqPden0t1B6RSsBRssasa0TpVh+Z03c1oKRakGL1AXlnEjbA6K/6UFNTnp91OKVekbBskfjVQlBorV+398ppT/VPrfcN1RKu2SkVaz1Z7LkUqySsa42eNq9+Lqj1NghggptoZWghxUYdHUddMCPE/+Z7dsGHDhg3/eRBql7AxKnKpDgYxquwzvm2TMst0WUlKUwRnwNkmUoKmsEs5Kunkurp+yOteQLTAvhReCcqiIs6u73GIilfqelqy9jyLZHUvVochGaT2MGmkqt7HktRHaMRQWgx4URWiCmBU9JKlkWnavWClCn0wpKxrnrUaF6sdkjU6rvYuayemwWL1OckF8bpuYjSOXrur615CjEbAakoriBCyPk4EjGjfpVDUfVpTD0qzFEolW2lJA03RqMpRo4yldnGmREmZXET1SkiTMuk+AGoiRalxrh1iXY2MNSCtN7t2Q3LthixIqSrZa7tjxU/3B+swukX4xHoQdoYUYvOVbkTkhg0bNvw3wufPnxmGkXEcVYSaEsZZXo4vPLx54HQ+83J8Yf/dd8xh4f7+nnmeOR0veO/Z7/c8Pb0AQt/1fPr4iXEcKVk4vpy4uT2s8ZwiQt/3xBi5u7vDGI0en6ZJycjpwvl8IgRP3/fknFdH4OFwx/l05v27XyAi/NM//QHfWz5/+sTt7S3jOPLHP/yBm5sbvvvuO6bLBWtgms4aeZoSD2/uOZ3PCMJ+vyOnokSkNXz69JnHL49YEYahV8cDluenE//23/477m4emC4L3hX2uz0pBr58/sjFFG5vD4QQeXp8JsbI7e0d77/9FmsdIUROl4nnHz4yV5fAzc0t3jtyp32Yl8tMSrl2VgvH43GNMr2OTBOre5O+7wkhcD6fuTkccMZzmTSitXNeh80ivHv/DSEETqcTl/OFECK73Yirg03LqxhZRDjPF/a7PeM4rq+JCByPR+3ndJZh7Ck5c5ou+H5YI1Vb/UpXI9XHcaTFubaIP3IiBPDescRA1+l9LQJd1yO7gTkEnp9f/s/6ddiwYcOGf1XQBL2itqHXQTQtBvX1v6tpsv63MaY6Hg2u85r8s57bmjP+61jNawdki/u+ruXqOrfO+3Umj579XYt6bf2KZo0hz1E/SnVDkpTUKjEjV5E8glaIIJBFU4BSyizLQimFoetx1mK89l1jDP2ww9R1teQLJWVMXccAhmFYXYXreVtzV1knBetjrKYe0LO+qBOyGwbG/Z7RqcM0x4iJZu2rNNZq8hAgRc1KvjobnXO4mmbgrdPzcI1yDSmyxCuS1Vp97KWQ23gBQFR4dG0OSjlpykIVgoUQVlGZyGv8bgiBMC9M0/RVNLvvlbR0nUeMUddlvU3fdfRt/lPfVylrT+g8zxolL4a+Pscb/hQbCfkXYOoviFQCUtoFpWh30hqlmRPxXyC7mwvx+qONnFqxbQjpq+GVMZqx3Jh6qo25XVivCbTWMfBVlAiC681XHQmp5iXHWn7bfo5+QEwzrRdKCU4t83XZ6+BQDBntgywFignrBVrx0z9ZH2srCL5G29C3+9c28O0xv/Y35teo0kok/rTnMuf8Jz2R7XPXz9f1n3/OSn39ueuiYWMMJb+Sf9dRqt779e8toqXUqNj2dMh6lSyE0m5HF7jrv5eSccmtZKaUWpwbIykG7dncIlw2bNiw4WeBlqu/rsum9im3NXV1rKfEssw1hhWSgHECRmNalEirwdnVYe8wldSy1QVpqCHiNT5Frfy6GxDEeooUvc5bC0Wj3y1ASRRTSGhUeMmlxsWq0Mc5QymiHRchrMkMpSSNK60F8lKd+LkUct2IiymINSqMcQ6KByzFVJdigiLacUzWHk0nGmOa6yMqLUaARnaaqiYFjMbUNgeimNqZmXN9bqS+BrrFyaXuh4r+3YhGkpe6jBpqH3bSWHVnVJRlrEAyJHSNjimuhzdBqovBkIqoSzIlinGaRGAFW2Nixdg1kmfdzawiJVkVq/qY//Q9dX0gvd73WGNUWJUzcZlrD+hGPW7YsGHDf0v03cD5fGaqKTPWq9t+CbEKZHTN+PjxI3d3dwD1bHfmeDwyjjuMMby8vPDu3Tt++ctf1vgtS84Dj0/q5nt4eGBZFm5vb9Wldzpx3RV0PB4JYV5df+fzGRX79nz+9IXb29tKVM4Mw4Axwm6/4/buwJcvX9Zz/ocPHyilcHt7izGGZVnw3qvzIEdiCFjr1L1R4LDfM88TH77/HmOEu7s3xLjww4cfeX6+8D/9j/933r15zzQF9rsB8omXlxOH/cjbt2/JJTJdTnz/h+9JYcFZxziMDMOAtQ7nEt//8IEffvzIMO4QEU4ndR7c7fe8f/+ecRw5nU4cj0cAxnFcz/rNMRFCYFrmldjruo6+dlju+qHODRKxEp3W6mPvuo6H+wcuXc88zyzLQjKsw9ZrwXJOhSnMiNHXOOfE+Xzm3bt3nE5HRKDzSiI7l3h6emIYhpVgbsLuFsO6CqFrT9bz0yPTNPHw8KAd4l2nfdBhWWcTsbomN2zYsGHDX4+c80rsrZPVlkRXq8JWtuhqFtxm7I2Q0vPp1zPqXK/5bTZ7/dFm1m1ur267V/KyRXoDX8V2rx2RKRHmmTAvhHkhThNSwIro40GrR4w1eOex3mO81zO7UcdhW0OXecYcWI0rrpqXNE5ev6Z1I2v0abfe5/Z8vfICOsVuouZc78fXc3SDc3o74zgwDiNeDLEEcmn1ZGp6eu12/vq5jTGunzctaaDG5M7LwhyDpgxEt/ZAmvrYGwlp6/Oak6YhriTkVWRuzkrUNr6g67r1rH7d79lmP9d8RFvnU0qkKzKzPWfNNamE8lUXpHnlHTb8KTYS8i9AFQlVIVGzfuOV/TZevdnkXyAhG+PeCDS9GBUyNao0JXJmfdM766sL0q1Fu1Rn4DVZtv5CXHUTruScA286cv0FbNnJ1+RZ20jrbWVKjUjTX8qIEVs3zGeNhDXuK6JvqYcAU4eIbTyoHYaqMylXVoFWDnx9H9qFuV2QmlLBWnV7lqv+p5WYuyJd2/OqCwDr83L950/JyesDw7/karwmjNshyddM8Ncex/wn5PL1Y5PSflauj6MtCi2u9usPqfG4xjocr0PYvmh8S4yBktP6mm3YsGHDhr8OAuSYEInrf3euuvGlkBZV0c1hISUtjM85E8JCjuraUzW/NI+/OtyNqW56V4k3S5H6b7S1p7UtCxjIVVVYAJxTkSG1gzJHyIksBUrW/IWUqjtQMLlQRHDGsuRAAiyuqh8LLXjcGnX7ldQSBFSdqWez+lUiVThTibQMkYIpmUym74Rc1/silXQ0UlPNW7+mfn+uCtNGRGaM9i5XJaMaD6ursd6HvOqZMkWs3p7eEyVvy2uncjtYtl7JApScKMZinRK4hqKVj+jPS6kwh0Qs4HyP7XqwloL2S4s1YLU7KyFrwsJP8Z/aP/z08wUIIb4qZ3MlXf/z36obNmzYsOG/Am/evWMcRl6OR1LOeNez391w4yxLddFJgWWe+fDhA58+feLdu3ccDofaGWjZ7fbEmPjw4QMPDw/rOfTNmwec87y8vEAxdH4gJzDi+Ob9d8QYeXx8JKXC7e0dp9PLOpBLqdQ5gA4QliXw61//Dc/Pz+q463tSzMQQcVYHhU+PL9zd3fLp4xeen47823/7b3n3i2/WwWLOibRLxJj4/OmR6XJhv99x2O15evzC+2/ecdjt+PDhicfHJ/6Hf/f/wJoOYzq6zjJdJqBw2A2kGBDJXC4nvnz+RCmZu7s7rNPz9+9//3umaUbEcJ4u/O3f/i0h6lzi22+/Y5omHIXL5UwIgb7v2e/36329diQYo91M73bvOR6Pa5dS33c4e4fkwu3tDbkkTi9HJRpTYj6dmOdZh79eh5ExBs6nI9klnNWe6zYL6bpOf64RvLdrn+SXL1/ouo6u69W5WMnjy7ysw8vmqFyWpT7X+asBcy76NZfLRecElUzNOdP3vQ6Kl4VQHRMbNmzYsOGvR5vLFmteDTJX89pGcF2LRNfKLmvqtf31tmKMkBK5ZFwVG19f769nzI2wGoYB7z0xLisBOU0ToboUvfd6rkytyk2IIXI5X5jPF87HEyZlRt/hrKdkTSFqRFjXeWzXYfoBcXZ9bCEEwrLw/PzMMs3a02gM4zDQdT1d1K+7XC48fv7C+awCISmw2+3IMWmaUQErRh2Ka8qTVs4VUSFtE20bwFchzjiO9H2PsYYc9TkqlGrkstW9WB+3+dqxSAhIJXAlRiUcs7ogp3lmDkFnCG1+D3Smw5pXMbdFOZSYX8nE685mTcAwf9LhfE1SGmPY7Xbr3P96X9K+vr3eQ9er49RYfZ/U91TrjF45jpxYwvLf5f3/f0VsJORfQKnsNgIJodiaNlyJMFeV8m3M92duoX5W/x7r5jznhNjr8tyuboQdznqoBNzrrahr4Vo1f014XTP46wBMNPbNWB1SUt2I1w7Da4WAGM2YlvVnasdVDouOVuX1wi4CMS+rEkIdfWaNtjPiKukolKKPRS9ieSX/roeI187ENdJUVlaxEnJNEaIDy5zTq4NFamxbUVeItU1xUS31aFRrKwHWf689UaXUC319XqnD2Eb4ltpb+WcWsPY6XBOW63/nRnzWPqv6PFjrXhfGNb06r71ZYtWqLpWo1NEqanuvzpENGzZs2PDXI84Tc40N1Z5luyrcKJkYFkJYSEGL5q01eGMQMjkmEkDXawxqFo0QNRZb10Yjpgp1DAUhF4FUA9XFgHtNRihVfIOpXYHOYaQQlhkiqBlfVw2kkNOirsAMyzLpGiMGoShhKkLX9Rr9WVp8qN4+iTV2pcXFxagxIjnO6q7se40mNXqbpToYxXiKcfp4RMBpNHwjVItockIRXqNxjKyxqG25bXuJV1FO7cbIlaCVFuf6Gq+uQpxATrX70Rhd/9H+DkSfA3U0lpqIrmutFJBUasR70iwbp0GtJWsUb8mCKS3KvnlU636qvmfkyg3559CcF18Jk4p2Uev3QkqR/+1/+3/z448//hxv4w0bNmzY8C+gFPBdzzBmTqcTp/OJ3WGP7zpub5RsO51O7Pd7qI71eZ6xRt2Fj4+PdN3Av/k3/2Zdi5REs1wuF7777lslrC6XdbC13+/X86B2DZ45Hk/88pe/Zponnp6ekKyOuq4f2O9veXx8IuWkyn5jePPmLYXMy8sTAO/evaOUwvl8JufC5XLhP/7H/8i7d+94eHjg+eW5/txSnZI3DH3HPF348ccP3N/fMg49v/3t35Nz4pe/+OV66p+nSz37LnivLox5uTBdznz+/AMvL884b0nZcXo6cTyeOF7ODMPIu3fvef/+PV3fM+4c5/OZ0+kEQKhdjM2x2WLjrmPslDhUIVhzNv7yl79U5+TLC+PQE5dF92gY2O81TjYlztPEsiycz2essfSdr0lSjpIzIWRyea2kOR5P+EpWzvMEaHTqN998y8vLMy8vL+x2I+O4Y1kWDofD6tJsxOG1iPuaoAQoSd87p9NJ+6pyZhgGpkWJ1/1+D9YwTfN/nzf/hg0bNvwrR6kEFLaetZrj8IqENKs55nWWa51bUw+tdatAFl5JRytuXa/WxMErg1EjIZtjrs3Wl2XRaM76tY3cWmfgiMaOLkoihnnGFqE4rzPiGKuLE0yxK8vgrEXWyrJETtpFOE8Ty2VaycdTOrHMC+Y8UShM08Tzozr1h3FcuyvjsmCq+9JQiVWjhhlTzUZ5/fvrWbgRsM46nKuPv+5pxFp85/Cdx1hLiNqjKcbgnbua38v6Gs11jbfFrZyKmJpMeHWudk7dm7Fk0lUSoo40XtMMr1+ba9FTc642vqGRkD81OF13Prb3TEs88JUT0IqVvBrJGsHa9gtb1tG/jI2E/Au4zhYuKdf8Y8HY10LS10HUn+uEBOfsFbmmA7QYI7539ZfBrXZoa211IF6pN4y6ClPRvOvrGNIWYfpTUg+0lLXUwWNBCUlK0cixCludh5IE5zrENIKuqUpSVfHV56A0whCMzatCorkgISMpY0zWMnvz6h4sNZP7pw7D8pPHdP3c/ZRgbT2Z1/9eSo1pLVd26joEbQ7N5sjMAqkONOMS1p//+jPlq9u+xjUJ+dPveY3ZfX3f6PNSF4/aiyXte9tzIJUQxuCKgFESldwiZStpagQp+jyL2S5pGzZs2PBzYFkWnBG8d1grWOvrtTuTMypQKRrpZQFnDd4ZpFxFg4uQE+SQCDkjJoMzWFd9j9VZWBuByanUPYRduxlLSUoU1mVEjH6fNTBPuca/J6D1RWRMzBhrKCUxL4GUS+1d6LQH2hh9TMYQU1SCtCXSNOGOiEbS5cgya/QJSd0DMRXEaUSKE+2jxGkUTDG2kqoFsRZTxVP6OPX+16MeKZdW2qDxrtUFar2rbkDdH6SkByqNf+erdVUFOfocpBQpWbujViKzNO7ylYi03mJS1sNp0iQBrtIrilitr0T3BSlFEO3bkHoQLapqqjSxPgb9f0HKn0a+QyUh632uMQi167vdP4Nznv/9f/8P/PGPf/xv8bbesGHDhg0Vx/OE85eq1rccT0e+fPnCflm4ubnh/bu33N/dcjweefvNdzjveHp8IqXIMAxrhNn333/gm2++4bEO8rz3lVwLfPfdez5+/MIPP/zA4XBYnXdtIJVSjYUzhm+++Zabm1s+ffrE8XjC2sjNzT3vfIfvOkQsHz9+xNo7Ylp4//49pRT6vme325FS4re//S0PDw8Mw8Dj4yP/8A//oMPP/Ef6vsP7jsNuT995lvnC49Mj79488PL0xMvLC9999y273cg8XRCzYK0hhoXHx884A0/PT1ASnz//yMcfP5BJOOv58tFirafvBg77g95fo+fsaZoYd3sOhwMgHI8vlBgIYaHve8ZxxDnHNE18+vRpdQiqe0RJvWE3onGuGmV7f39PyQknjRyetD8rZ6bpQqoOE+cccQnMs/Y/9V3HUgezucQ1bu/29o4QFkrJeD+qW2GZ1xhdYwxPT0/Ms0bchpTW2LrmbPmpw2KalMx0zpGFlSjux4F5nhnHkVCFYd57nHfrTGHDhg0bNvx1KLlAzph63FwNNVfnMEojH7+u27qOU82V/jJGxaimntHb9fraEXdtoGnz47but7/nnPV2GsGFfDVH1nlzfo1Brd6UJSykOqc2tSrEpgjJ4UpBruJM27pUkv6bP9ywG0fmaSaEwHK6rA7+6XxRss8YYj8Ql0XToFArEbmsBKGe5+t/myYzfiX7kCqmrs+PCnGU2Cwp0fuOfhh0hj1PhOqETOWVwI3lOvZW+2mMe3UiFmGNXl1JT1fJzVJYwvKVAav92V7T1jnZXt/rr7mOTv0pGdmI5oZ1FpELFiEFfW2Xy6QEbW/oho5cNPZVRFZye8Ofx/bM/AUYo6VIKUVCjQITY3CVNGxDMEDj0iraRQle4zuvi2yNeY1fVcVe9xq9eoVGNGqv0usF79pS3P5+/b1qQ+dPbuunA7NmMfbFYWwrp3p1Sup9dfXxvV7wco4ao1ZdiJoTbaGoIxIgpgSxui/IarE2X1+42wUB+Co7u5GU1wRru9BeP4bX+5kpVyRke+2uF4hXkvaVYG0DzOt875V0vvo5146GdlvtOf1pDOt6MSvtQlZ9skVzo79+javTQrIudO1zkhEpgK3LYXWcmlfCdsOGDRs2/HXonKOzDiuCFSGHRfsGcybnSooVdcJZ6zTaK2dyikjJ5AiX04QKhdT5T4EsmWWe8V3BUCAaPQMZg+0Har5B21VUN5/2S5ecIUbmpBGspMR8OUPOWAFKwpTMzltKUbVlmBa9Hd+tDkI9M2Q0Kz6TixbRL3UwGmMkG+0sUvLydW0Ra+n6gSVlQkxYr/se43pirocEaym5EEvBlISI00OMvMa5qgin7oPqbWvqbGVB82ucvGmCndLo2kKJaXUhprjoup2bWCeRloyxrkamVlESGgFjs8GaQikJkoEcKfVQYZy7co0GjYuVKi6re4JSVbK5koptb1T/Qw9alVw0bS8oepCLrROCtsrr8h5Tou+VJM6l6D5pw4YNGzb8N8Ph5pZUhMusZFvfDwxDzzxdOL68sN8NHHZ7Qgicjke++e5b9oc9l/PM4XDgcDiQc+Hz50d+//vfK5lZU33UxZdZlsw47rm9vWeeQ+0rPHI4HLDWcTh0vHv3jkzk5uZAjBkRy93dA95rROgyL4Ql8qtffYeI8MMPHwhxYb/f0/c9x+OZ3W7Hzc2B3/zmb/j++w9Y63n79j03NwufP39EUIcgWfurn56+8Pj4hbFziGR++w+/5e7mFjI8Pz4SC0zTpOd6MqfjM88vj1iB55dHnp4eeffmnr7f8/R4ZDfe0HUj+/2B3eFQyTq9/9O8EKKe5d+8ecvDwxvC5YJzOgBUcm9ez/ovLy86UPSeUgr7/Z5leY0vizESlpm+0zUzJu2JnOKF8/mkAm7vGcdxFRdfLheenh5J0TP0PbuHB8SoELz97FJgngMpTbW/y9D1nhgTw6D9nafTiefnZ+7fPHw1kGyxqs3pYK1lGAaccwzDwDJdSIcDAF2vHZXH41FdIG2QaYQQtmqVDRs2bPg5ICKUXEgxqeDHFSX0VPm6GmxSjER5dTQ2csoYwzAMhBRXo0guNXkos4pY2iz/pwTkNZHVHPbt6657I8VczZSry7HN8buug5hWEetpmqog1xByplhBOk1nkKSinGVZmC4X0hKQAt55DocDbx/e8Pz8zNPTE6muNfNlIoWoz0vS9TJYJSHDrMlKxmiCE6WoS7Sdxg1ILrWeTYlGw3XyoD5H3nV4a/XnoL3NUvseTRUJW+eQlNQdmXVdXZYFN3SrC1OM6Pc5q7MD88oLNANUKglr3eoa1Vn5q9OxfX17ra85h2uiGFCytq7r7bXo+37d662xrAV2XY+1VonfnOk6z37cMYwjMUXOl8tKoga3iY3+JWwk5F+Acn8aVWbb5pHG1anqolypHK6JqJ/mRv/U8ffaVfhq9dVPti7EV+IwA6SEuYr7/ClJdo1Xp54SYM2oKHXoJWKqOw+dEOb2aPUPEdAa2oxrJGvJGKsDPx3OhqqIsPXn6IeqRVrvlXZe5FzjZJsbgCsr/JU9/frxmPUhVVVDe5yNAESHtiUpCZlLWoeESsJeqUyyOklK0ftRqHb2toDAVx/XTsfmRM1Xr+Ofc562n9U+WmTs9edeX5uyvr71H+tLVceVhVerSm7xsPp+y3EbWm7YsGHDzwFrrtaaUjsHY7t2VwWgNUiGTFICUIz+W1GRUlyCrqPiXtdvKWDVhUcyIJm1AbIkWjw3og7JQtGC+eraIyZKStotHAIlBKTSeDkGJR+TxYgSebYKlZzVvgUpBZFShSuiiQxXkSYtCLyecFSBWKibbYf3jtxIUdHvt96BFZKA7kqErGcVErqhLFLXRMO6x6japq/iS5v459VfWKDkdX0XQaNUq3BIH7h+XkrbdwFSSCR9vPUb2/+p6jRD0jjUUvcCracZKRQxGr8KX+3PSi5gr3qjV5Vle698vefSz/3pv10jpVyFVVSxU/5qr7Jhw4YNG35+7A83OOuYl5llmTmfzzirqUPn0wt953n39q3WfRjh8fFxPac3l9svfvELnOuY55mpRoDqsMrrMKoUFSrVYeUf//g9b968wXvP8Xgi54S1lt1h5HieEGu5u3/geDoxLwv7w4GYMpfzhb//h3/icDjwq1//hnm+APD09MSXL1/45ptv8N7z5s0dIag493Q6EaO6Ng/7Pbtdz/l0QqoAaTf23N4ceHl+5u72FmssP3z4UB0GmXmZOJ1emKczzgnj2HH38Ibj6QvfffuOcRgQEb75ZsS5PWOv5GPOmbdv33I43LDEwPF0JuXC09MTnz9/Bgq9tYzjwH6/Xwe9zung8HA4rM/x5XLhfD7z+PyEiPD27VustZwuZyiFHBPWGB4fH5kvE+M4Mo4DvhJ9OavwK6XE27dvKTkS5oVQoJDW1ygVjXPb7fbq/oyRl5cnpmnCOsMw9AzDSN8P3Nzc8PTyTIzxK3F0e43bvKfrtK/z5eUFK6+dYq7ztTMcuqFf+yGNd5wvl/8zfhU2bNiw4V8dUggEMXS1ssrU6ot2NlSSMn89e/3pbVy51f//7P15vC5JXdiPv6uql2c5+7nLzJ07+7ArgoiIRtEoqGCigqKighqCv7ghX3eTrxsYNyIQUZAYjQpocIkk+hXjGkVEDSiL4LDNDDNz5+5nfZburuX3x6e6n+ece+7cGWa5A1PveZ059/TTS3V1P1X12bXWNLahsRbv9ga4tHp4qRc9S9W6PxjFe985p/R7PTFwKYmiq+saQiDThv5wgKtjbUEnkXa2DpT9HiCirs4MKs/QmZE6gw00dUNVVzjrKPKCIstRKIqYGUCCnHLqaY11juA8mTagDVopqsm0a4+Ox5ks66JGW4NHzOUnNZfjf957nHXYxqKV6rIFuEqyPmit0SjqupFsA1ZSk2oT60q20adRbA5AWZSSnamuxaHXGHSeiQkji/NujCzsIifjM1HGgALnVRd9OJ+WtdX3t88LxPmqXcvNp9mX2tAFy8vLnYNUa9QMzmOUxlUNTVXjraX2npGSkjB5a7zslTjvsS45G12MZIS8BG2u5ej43nlGELfNR9lJ+rZZNF07CIUgqdcykx0YMjxL1drWINxbfzHuNPPIYK+ya3/+464NfhaF2aYtpUsJR/c7nkRqVYU2jamkDAPXXUurIGlWTUYIOYQyhrZH45sL8QsuUZFihAx4b6OR0EdD5Gwwbz0F9kcrSufP/burBxkfBK2i0M9FTcwMxDoOmiZOFmEur7Oaq0PRtaM7TnVKWbXvx/q97Wvb256n/XtmUPZd6H97vXmDsUQ6do8X37g2JoYQXHd/IYaq48WI65IRMpFIJO4XjNHR6YYuXbb3M0/HLJf0Ka5NphpkHiryUlJ7NhbbNOigUIbOa7A1kEmEfjv2R4/B4AgegtL4EL38WlOkE4Nja4A0IdA0NbhG5sAQjZDO4r2k+9BKUcQaEVmR07hA48VgOj93ZnnWzSch1myU+o0K56RuoskyMi21HCrvxNioDCY3EhXYRgoqMdgGke4AqbxopKhxl2Vg3lN0j6MR4L2L/SVHi5ExSJaFKAAF8cKRP7xEn6puPSOHBWe79ZikjTFoLSlZA1Ic3lkn9TWcxbkaEali2pj4l8pyfIhOU3ou3arWnYEzBNWtoC4gLkD2ZFKImzUxtYwPXV2pzKQleCKRSDzQmCynPxhS9HrUlSjeJuMxvV5JCIG77rwTby1rh9ZRRcm0rrDWUuS9znv+zjvvYjAYsr6+jnOO7e3tLqrO+0BdN2jtOmeTY8eOsbW1xc7OLocOrWOt5czZs5jcMG2kPmB/MMRkBd47RuMJRVEwXFjg3LkNRuMJo/GIa45fhdZ0aViLoog1B2UeKcseIQR2d3cBzWi0S1EYjh27EucabvnIh8kzxWSyy4kTd7K8tMzq6mpMy1ZxbuMsVT0h4FhfX2U47BG85+yZ0zhrCVlOXTuOHzuOd4Fef4ksKzh/foPJZIK1jqqqOXz0CHVjsc7H+phTnPOcOX8Wa2sGgwHD4ZDFxcUuqiDPJaqjLEuGwyFKKUaTcVdTMoSAbSyZMeA9d506jTaKQ2vrsf6Wp6oqtre3ybKMxeGCZK5qGkwmNSE3z2+gDV2K3NyUnUKxKGQONsawu7tNnmc4Z9nY2CDPJaJkcXGREAI7OzuSwnc45NChQ+hYO7Q1nsqzKKW+uDGMx2PURNZ8kv49RrxEQ2aRFw/+FyGRSCQ+AbHOkzUW8kAW6w4S5gI+5oI+WvkeoozKzHhoogFPKUUTU6s2le0i4oDO6NjOYa0BrpX92vTireNKawwsy5LgPdMwEeemENB5zmC4gO9ZSfk9rfCNRecZ/aIQw5pzOAJkhpAZgpPozhADUzSKheFQMid6TyuldhF8JsPFlKt5a6CLewXnZZ73HhVmsncbDaW0lJ/p7tvTpZR1zklk6VzgVZ5l5FqTm4x6WjGejBlPp6Agy6VsSxajA3VMs9rETIfj8ZiiV1L0JNKw1cebPCMrCnkuUQfhYqky5xzByzMvioJeTL/atm9eB78/o2EbSdqmbG2fU6/Xk3P1el3tyFamd85TTaeMdnaZTCeS1QEwoxGHjaEoxQiZ5TkuOkclDiZpQC5BFT0doU09qrpUXUpZfGcjDBLpEKJnv2qzeymsjWHbOqDNLDpgViLI02bkklqCJhbVpbuuVhD8zGg5nxJ0nplBTL4o8/UN96dgnT9X8BDCvKe/qM4COm4PSLikaAfbNrbnaI2QEvGoJP1aNMq2+bH3GA/nvFCqqtpT/LU11DVzadr2R5POe6R09x5CF+EwU4BKNEiIUSExxXcUGh1tilTvW+MoneK01SjK/lFhOWdInG9z1497vGvEcOx9O5DLkJ+ZbJ+CUiI9QtNGzs4MuwRJ+9cae0M0iicSiUTivqNpaxr46C0p2QK8s9GTT5yHAp7gJXIyz3KKzBCcIsSFfesdSFsjWSkkPpAo/GjAoFEEbwk6EILGBY+PUX9SO1JqHwY8OsiPzFVOalIyqy2cKYNRKhoCwRhFlmmC8thGUsTbpkYpsGi0LkWo8q5Lsy4CGF2WgjzPyTNZryjv0AYwsR5ETHigjCKogNc+LnTkHkV4kQhJ+WmFofk0pi0K7UEhqVUls4RMdDqoufl85oQTcLK26kQsWY/Z+bRmxmCQ1KrORSNxVdNUU7ydSi3J4FBITU5QKO8J2kqNTm0IRmOyPAo7Mw9K6a+29WJobks067h2YO7v1nGtbWqbAlepjP5gwM7uThJQEolE4gGmsZINJ8ty+r0eSwsLnD51F3lmWDh6lPPnz3L+/Dm00RSLi5S9XqdkHAwG1HXNeCxe8/MRcVprDh9eY3d3wvnz59nZ2aEsS1ZWVvDeMxgMCCFw5swZ8rxgOByytb1DXuYxam9Mvz+g3x+wuLjImTPnsNaxtLREv99na2uTW265hbW1NVZXl1lbOwTENKWN79rU6/UYDBZYGC6QZYpqOub06dO4ukIrGAz6fOiDH0ApTVkW+KaRKAbnuemmR2EyTV1PGI92GI122NnZBqdZXz3KVVcdZzqqaCrFZDJGmwbnAsPBEJ1lnD+/wXg8YXc8IssL1tYPsbKywunTZ9jd3WV5eYksMzjnOHnyJKdPn2Y4HHLkyJFOudfWhZxOpxhjOHToUKfEDd6ztbnB5rnz9Pt9ijKXaMiqoihydJaxuLgoSssgOg6Jbtxmd2eHTGu8D5w7d46y7KGzwGAgUZlN42iamul0irWW6XRKlsn8bG3DyZMnyQqJZFlaWiLLMra3t/ngBz/I2toaRVSMDgaDTgHsYxva92cYlcONs51BW2pbVpfzK5FIJBKfMLRBKSbLKAtJo+kaS3ASvGGtjY6kc06samZM80EciYqYOhRET9yWAmuapouia+f+siy7yDljDE3TXJDhz0RHYWutpA3fF52ntaEsc4zWuIFltL1DXVVkSkdVgqJuGsZVhdMKiydTktbVxUAbCFJ3uKpn1yRmEAyBPJZuK/IcPWeM09HBts0S1Cqg92QDnO8rJ/K9+FiHzmBZVxU7OzsQYKHsU0Q7Q2vAa+oanRmKsqQoRH8C0dYZMwa2RkKlJCIzLwrRTajo3BPrKPsQYhYncCGQZYYsz8nLEm00ATqD6P7Ar3a90f7O85zBYMBgMOgMkfMGyTZistXvOyflb7ZOn2F7c4s6Pm+vJFJzYXmJcjBAaRXL1N19dqSHO8kIeQkuMPYpJS+5l6hEH2KOsRjVpnRgv5GqHYz2p009yMAGdClXYbZ/0PF88bz7jV7e+z1fthCUGAR9VC5GHah83oY/0O0rhsa99Qtle4iD9Hz0ovx4TzeAagU62xvVOashKaHYrXFvPmx9/320/9Zax/Spe6MmZZCSwUMxFwGqFcrrGEjRDqTRENp5QswbQEOMxIieJK41IMdI0NlDknsJARdmRsfZ67DPEDv3WWCvEjW40LX/oOfu7Sw1nShk47HWz8WuKuYCKBOJRCJxH9AxAlHmEhAvo5jmmxghj0zx3jmyTBbxeJlbiN6DwQeCtziIDifICkv5WHtQo3WQxaqRKEQpVeFxtEYrHWsrRueUaIQ00aFHhxDTxwaC0eSZAQKNdVjvJJOpMgSlJOsAYG2DMgavAjhP4z3OB0ym5qL2JFOBUorMGIwOOG9RWtKWYQw+eKy36CzHZCIIiEFS5t/gAsrNRfgHh3dzdscg9ySoru91/Gxuty4Na/Beohy7+dljtMIYWXe06extEMFLohoVQUs6Wms9rnHUTUNT15Lm1juMCmSZGFYDQTw5cShVEbKMrCwkQtZIX7ZRliFKPrKKatcYM9p1w36HpPlMDybLUBjqumLQH5BElEQikXhgsVYMdkZDv1dSZIaVlTXqaszCcECvV3D69Ck2NzZQkymLy0uUZdkpxqy1DIdDiqJAazGotQ6943FFURSsr0t0ntQk3Oqi/gBOnTpFVUk0oKT0kfm3sQ1utEvd1KyurrG8vMxoPGE6rWgaS1n2KGIkxZkz5zqZd319TQxyRcHu7i5lWTIajZhWFcdWjjDWihN33cHWxln6/ZLdXTGOrq6sYG3N5mhKnpccOXKUEBRN4/HesDBcITM5490JxhQcWrsSXIHRGStLyzTDmjvuuhWlEOPpwpCFhQVx+HGOqh6B0l2k4NLSIv18HckIIanpqqqiqipOnjzZ1VwaDoedk06bNrVppP5jkYuqSqILMs6fP49rLGtrq2LUi4rYuq4xSmNtw+bmJnU9ZXVpmSLPQckaajweE1CMx+MYxRrI8wytFcvLK1G/IornrJdJ9KS3XdTr4uIii4uL1HXN5uam1NtyjoWFBXqt4TpGZ4xGI3RmGA6HwEyHgVIoH0iTfyKRSNw/BOdRhSLPMrI8w2iDw3YGJ2UUOsuAQJtpULdZfJzI8y54cQzudOsz59x5Xf58zcFWDzxfjsta2+myW8Nlm761NfJlmaQ2lVSiUiql7JcYrWmqWoySsVZkVdc0KmC9wwYpMYKTOa+aTjuDaJGJk8t8zWqpv+wxMVLQGLMn++K8naObo8JMN41SMRKy/SxmegrQ2guck3Tn+ECTTSmynDLPKbJc5OY5/X+W5eS56eb71tloMBiQ90p0JhGQrbycFxKdGPRc5snWyAfkeUGv30MZQ1XXTKaTbn3WRqjO1/9syWPEK9AFaoUQ9tR7bo9t+6Kua6bjMRvnN9jZ3gYlaWi1MZiywHtPU9diNyFIpiqTakJejGSEvARatRGJ0ZtfhS56rasrhNi8uvpHKn45oqBhYl0hP6eYmk/h2Rr+5Dxhz6DQGdnQ6LmCqvP7zhu+JIJylsp1b/JVGXBd/MLL57KPHCdRAdLG9t5UNOgpgm/rS6o5bZtidvnZ/bSRhbMQZomSnDfGtu1uw8XnozWJ/duFBTJL4dYWkQWil0IXgyLNavuQIANnaNWGF6oL2/3be5R+mhkhJUpUnp219d4UtvuutyeVbBcF2fZDG80S9gyCewywzncGxhDaVLNO7iEO4CrMty6RSCQS9wWFGPkUGtMamQLdT1eUPQSsbWL6LjH8+dqKk4uTVNrOK5y3aGMx3nQF1VsjZNAOjcfkJiYX8ChlxBDqgWDRrfMNjuDl3Do4lLfR8KUl3XhcVDvnaRqpC6EyK8JTnmEbi4+fZ94TMsku0DhHDCcUY2UIuCDzlVaI4Q2H9YFgFFlWgDY0QYQeAmTaoIPUipQIyTh/R4EtIHNmN3cT57Suz2VtpdVsLlNByfnw6OhEhfcSpegkEhQNIcZBmjmnK03MogDgFGjXeVgG30idzdAQvIXgY7pWLVGjQdN4S7CeRk3R5ORlhonrkvlqDjpGfO4L6Zw5dM07EcUt3f/jHB68p7aWj9z6Ud70O7/dfZ58ixKJROKBwTvLdOwIrsZWPcoio9crUTpjMq3ROrC4uELjLBvb25w5fYbFxWXyTJR5eZ7T7w9j+lCpwaiUot/vc/78eZaWlhgMBqytrbG7u8toNGI0GnV1D9fX1/HeM60qyl4Pa62k+lxYZHtnBx+C1DWMMuLS8jLnz5/n3LlzLC72GS4eEqWcMZw+fZqmaTh06BDDwZAiLxkMcsqipJpO2dg4SzXZBW8ZjXYoipytrU2GC4sUZQ8VGtaOLlFXFu8C42rK8vIyWkmq2kBBr7fMDTfchNEZtnac2T3Hhz58B8vLixw5epy6mTCZTikKicCcTOVvO5Y0c1L7MFDmudTB0ooiL1hbXSfLRSm3ubnJ7u4um5ubnDx5UlLRDocxbarUr2qqmvHONjubW2itGO1WDAdDVpaX0Vp1Ke0U0CtLRjs7bG5u4L3j0Po6w36fsijYHe0wGo3EuRlLiFkKhsOhRIZ6iXAQJ6rWWTvqdpTu6ll677sIxiNHjjCZTNjZ2WEymTCdTDFGszgc0tQ121tb+BBYWVom6MCg16eJ9aGyPKNpUq2oRCKRuD9oI/m00hilZwbGqJu1jY3RhTN9uOhwEUfcGOXWym9tNGGR5Zg8o1eUGG26dDjzuut53b7WepYFr3Vi1dKeuq67NKp5nneOrFUjWYsGvT6D4ZC8LCU1rPOYzBCKjKyusHUlaVmDx1vLtJ5S1TW9Xkl/0MNZKWuS5YYQPE1TM5lMUEF3aWFVG+kZAk00lnYS65zc3iIZoqSftNZSAqWLDBTddhv4YxvL9nhKWRQwGNKmbZ3ZFmbRiZ0dxHnyspD60EYTolFWaXHYbvu8NXY679GZGPeKoiAQGE8mOO9jWte6s7fsDc4K3fNpjcNZlnU1qWeBUzIvN01DVVWdwVkpFdPgj6gmE1zVkJc5mTHkRc6wP6BflGKncJbgQ6f7SBxMMkJeglkKz1jT0Hs8s3SYEs3gISipheQQo5dRaORLomK6NMWcgZE2onD2hWi9J5yfGQkDCuc9OAi2kYKu2oiXfnsOPWe89BBiHcc2b7PRREOZw7uAVkoMa8SIAwWg0VmbejSI0q5N5+pmX1xQsfajQ+eKEJo5Dwo6paikmI0GyBgtmRkxTrYeGEBXO6GNVNwTLaokFN67mKLVxKKwam4ADJ6mlgHDqNa4J8ZSH5W5M8OmCBZdOlxkssq0AWtnkYxadwOY3IuMr0a3NS7nPEa0QucS5m6ZGY5VDL03RqJftN6bGne+biixNd41qHix0AbYxlgcNaeibHwSXBKJROL+QLmGEBzOBchyAoF6MgGjybKSEKRewbSuybOMXllS1zX1dIrRhmZSYRsrC+UAGkOuCnIyMiQCw/mACwqd5Wg8qlFoclkvNNGrMgSMDjTTCU1VU2QZBqimY5pqSrAOjMFZqcFQ5CWNm60VjFFYWzMZN6i8QOcleVmCVjTBAxloLxGbAVyw5KWkLWuw6CLDKLoMCsrkoHPJABAMJjNoneGdxjVevCNReGdp/ZBMVsytcaJprXUumvOdCcjaSWe6q3scnKQfV8HjbI2zDa4Rr1GjxGCoMoN1jibWktRB4a0Fb9EhRqUCzk0JKhoqcXhVYX2N8zUET1A5TeVjTnyDs7LOM6EmN5oyD2TK4X2DRtE4qT2hVJt6VoRdrwIYxGszpvMNxDWhnjNAxrS0WmscHp1nnNvc4vYTJw80Pu53mUokEonEx85yr0eRl+yORwDYxlMrByHHBUmNHlTG+voSqNOMxrsUpmCyM8bWll6vjwqaqZrQHwxYXl6KkXCbGCMy4GQywXtPWZYMBgM2Nze7iLvhcIgxhpXlZUajEYsLC/TLPhDIlGY8rShMxmgyRquAdzWLiwNWVhbZ2DzP7XfeTlmULC4us7a2Tl3VnDl9jrLokZkMWweMKShyj2saKsb4MGE6HXNuo2Za1SwsHaJxGWuHD0Xl4JTBcMCRqw5jnefs2XNsbG6xsrLO0nrJ8voxRqMJVbVLvrjEatnHOUvRX6DoD+gNGjyec5ubrB9eZWF5kf7uhNOnz3LzzR/k+utuxOicpvEsDBaYVhOqcc3I1VH5lzEYDLn++uu548SdaK3Z3d5h69wGRZaxsLhI2cs5M9pFq8B4NOLYlVdijMbZBpVleNtg6wpvG5RWnD13jsFwyNLSGuPxmOlkF+ulbmOWZayvH6bfG1I1dZdBSpTWM92C1hqPYjKZECpJZ9vrlYAoUIuh1OQ0yrCytMLicJHd3d0ugtMEzeriCocPHeLUqbsYrS7jcIRF12XQKss+/XJw+b4QiUQi8QlELyvpZT1ynaFb9+EQ8N6KE6gVuVcbw7DXI1MGfEBcYqT+owJ81TCtbVcfsIjpeXI0zlpq5yh6IlubPOu8TLXSUgKlbkBn6ExRlj36gwEqBOqqom4kNakCekUJSsq+VbbB2oagDEV/iNOG2lrRADuPQ1EMhoRMahY7XzMNNSM7pcKiMexMdsm11EHOCsN0OmFnZ4sQYsrzvEdeFGgnJVkAqvEYW9dM6qqTOduUpzqA8oGgQ4z6zLogGheDaoL3BOtRHnJtGPYHmIXo5GsMla2pbM20qVFWoaJ+vdfrUeQ5xuQM+krqZZqM6XRM5Sxkmt6wj84Uja1wlRhKdZ5R9nuoPBMdQi6ZFba2txmNR5RFweLCIjozXQSqndPvz9sYlFJdPc+6rrv3qCxlrp9Op51RujVEVlUlaXmDYlAUFEVJpiXqtswL+mUPk2VkZHjnGTcNIZVQuyjJCHkpOqNQzCEdFN75mWuAisYvHePx1JzXf7Tat4YzmBnZgkKKpu/znmgNcvMRgfL/gHUB5RXGiEJxPjT8wNSuPkYD7IskFMPabD85h4SCh+jhIEay0EVwaiVeFa03gw8hRifMDHJz4ZFz29r7Zs8Xf/7fep9xr8UYjVKzuo/zv/enffXeo7NZpOj+NK97H+ksmrM9z3wa2LYd889hb+SquuC5tcwPcvNpZ+fD3lvj4/w5W+MvMdK2NVh7Pxd7Gfdt6uaCe0okEonEvaeeTtDGUFftIlRhPZgiw2VGBBOjKYoSo200ikm0ZD2ZYhtJF+obi1aKwuTkKiPDY6cTKmdxPpD3+uRG6kfYpol1IsC1NYOV1FXwdY1vGnwQM55tapqqIjjHpG7wzlLmBVoZyl5/T20Dk3lqJ447+SAjLwq8FKcGbbo61EpHxyil0MaQGTFAZgp0COCiEKJKfOtJmMX0pFrhbCBoCO3Up2aZCDRSH4FAjAJtjWqz7AMxi4vMl2Gulnb8t7MNPgoOyge88oSgMUZJOlotEYVSg9qCd/LjXJwzZZ52Sq7hmprgLYq2kL2NmQ/EO7WtcxFXSOKEZS1BK7yKa76gUKqtcekl6lHpmYuomjMc7smZPp/lYhb12Bpi99A+n/iTqkUmEonEfacXPdZDdPLt94dgDCFAVTf0Fwbk3rO5uc3qyirOWdbX1ijLku2dHabTKc45VlZXaZqGaUyBBpKiK89ziWT0nqIoUEqxtLQkNSC3ttja2uq2F0VBWeR4ZzFGMRz2JKNBXbO8uMS0FkVXWZbUTc1VV13F5uYGO1vbnDt3juWlJY4cOcx0WrFxfoON0ZSFhQX6/T5VtU013eH8+bOMJhWr64copzXea4aLy+zujDh1+jyDfo/F4ZDhwiLKBMa7OzTWMlxYIKAoyyGnTp/FmIy8KMmKPKY3y9EqMBrtgNESTWoUu7tjFmL62X5/yJnT5zh/foPNcxusLC2JY1ckzwvyPGNSS0Thzs4OthGl79LiIsp56mrKubNnUAomkzHWNiwOF7BNQ9PMsirlWQauZlI1nDl5hoXFRaytOXnyhNSXzERpubCwQNnrUZY5jbOdYrEoxHGqrmuGw6EYHuNnWZZR17K+amt9tXqCoii6lG1yT5K2zVuLqy0ozfLiMjvbW9L25SWauhI9SwCt8zYZfSKRSCTuI0ZL7cUQgpQjsXaWCa/NVhP12M45cVINJpbxgBAFZB0dRglB5htrMSqjKQqcCjjv8D6nyCXVZxdw46OOGDmfZETUXQ1GG/fzXpyBnXFdmTURJw3OB8axPvF8StAsyyh6PUye42xNRSBMoxxvFB6obMPUTrFVzXQ6IdMGE+slewdaZxANb8EpGttgMoNzWiTaA+wIrX7dxPInWs10B7PPHcp7MmQ+zk2Gi/frmhioFALeOmzW4JoG8hzbzrPKEKxnd2ub3fGI2jVgFNY3DFkgKwq8hyzP6fX79IYDyDTWe2rbYL0jyyV1ep7lMUX7LONiG93ovafX63Xb2/6dTqddTchWV6+U6lLHw8x+0fZNXhQxiKtdh+SURUGwjto5LDEiVZsuRW7iQpIR8hIEHzpN0bwxqKtvFLVFErXoO+OWitGHbV7jdvt8aHAWC8XOp/GcN3rJpWbKrPbfba7pdqG8v/Dp/LnmU6K2BrO2DkKLCFIuKgBnkRCt0UvStBIXzO3wOlfYd9915887M9ztjfDeb4RsjXd7DIdzBr55o2KXgm3u/PM5m4E9Rr+L9aNHDIJtf8wbROfZb4icN1LO77u/5uf8v/eH7M9fT+5do/OsM7oqP2dktTMj6f66k4lEIpH42Kmril6/LynJ0Zgso1AGlRmMkSWSUooiy/FNQz2ZxnSkCldbNEiNKG9RPmByTR6LvVeTKZOqwhMFgNKBi3UOskz2s16i/AnYWtogaU1crEWp6BV9mrpiUo9QAbK+LGrruo4OLZDlMcWIUtjQzqUxE4CS+gTeBxGKdOvAFGtaxNVNiP/JckWMia3BTPlAUJ6AFgNkG6cfBROlVFfAXkehzih1wToBmPNQFcOjQjwqFVLLUYyjGoWJ6dHiSWKNCK0UwTqcjV6GzkntSOvieXzXNqmrLFkGtDZkXURnkOcbDF5pMJpGuSgsWZyxYJR81gZ1xl7qciuoWa4CuqwSB6dfmQm6PikfE4lE4kFktLvD6uoag0GfpqlpbM3CYIlpVdPYKdos0uv3CMGiUKyurnZe9P1+n2lMw2WdGOrquqaqKvr9PpPJtDNetbWZBoMBdV1TFAWrq6uUZc7W1g633XYbx44dQylF01i2tkb0+j3yvOgMW0opyrLExtSdk8mUw4fWOLy+yu2338WpU6cYj0YcPnyYpeUFyrJgd3eHyXSXpt5lPN5gNJnS2MDSyiI6t6wfOsJkNCXP+3hraaqK3dEY6z2bu+fI8owsK1lcXmF3VwyGxhiGwwFa6xjl6QghQxvNYNBnMgk4Z1lcXGLoh9TRqNjv91lbW2NnZxcd4NyZ00xGOf1+XyIeQoG1DaPpRJyv6orgPbs7O+ADZWbIjKEocjY2Njh9+hR5nnH06FGqupLaV0UBBEyekZsh586dhdhv48mYfr/PysoKeVngvGc0GtHs7hIC9PtDBoMBIUgK3LYmVVVVXVq2Vt43xlBPJ0yrSVcjtK4lkrPX6+1RWoqDuaw+rG3o9QfkRcnm1iYLy4uU/R6gsFaU0O3zTSQSicR9o80qqJUWCSsQ5cH9QTGiG2/rPmqtxWiodSf/Ap3RsK5rtLJk05wQDX6591Lvb15H7d2cnlZqUWqlyGPq070lu+gCUppoJDOx9vFkMpFsS7E2YVmWXc1hrTXWFpIlqarI6lr0FkphraOeVlTjCdW0olf2MIjTE16LzB6NiJkKs0Cc+UyARP35XJ+2feecI9N6r7NsNKB653CNxdUN6JjpzzuxoXjJ9uCIJVt8oKkaMc4ag1WSUalqKqbVlGld4VXABpmXhwuaXn9IVhZdXegQHal9LdkMWiOi0WKvqJt6LtPgLIipndf36/77/X63T7smaIOF2veqneO10eSDHtpEA7IxYCTCc2tnWxy4M0NeFBR5TmGSqe1ipJ65BMEriHX4xHM9EILUUQrd4hMgEMxcelWvJSWrUti56Lgg+dr2GAjbL0r75TjIeAXiaTefzrOu6z1fjvnBkBDItOn2n7/GfE3F+Ws6b6MBUjxFIEb0tZ7+MkyDinm3tUQSwKwgbyuEzZ+/bVNgZhicv8+DFHa0CtP54y/y0zJvnAsHDPj7DZKtEXJ/VOP8wLWnRfvONd+3B7VnfwRke432mbd9IIZkjQo6pnwTQ7BWGuU8GnmOXnnAoVUyQiYSicT9QVNV+KKIqbAdwUlqcoLUTw7Bo31GCBo3rQnOQlGKwVFpiiyLKcMlmk+FIKnCnCLXBmsMAcg0KO8ItibLDBkKtJkVYQ8WpQxOeRoni+jMGDSSilQW7Rm9sqDICqZVhQsVeZZJejLnyE1OvyypGqlb1PhAf7Eg04baeoIJmCzDmIy2tqJqHWEQ4aqNwAsEiWiM/2bOUKm1iUKAGDiVVl2ady3pF2Z5EcIe+9wefOs1utdDSepVdJa+0CWeCMGjnKTMCdbiY2SotxasRDDSrl8UXUH4TGuMylC6rSUpmR+0MngPzntJp2rkHpzzKGsBQzAKo7M9UYtKS03LgMIwFwEZPWnb2pj7aftitp5KJBKJxAPN2fOnQQXWD61jzCLTaU3dSA2/waBH00xpmikLC0N2d7c5fOQwAbjlllvwITAYDsmyrPOcn1fMHT16lNOnT3fy+mQy6Qxu4/G4i37UWrO+vs65c+dwzrG+vk5ZluzujoARWZaxuLTEuY3zeO9ZPyT1E50LjEY1iwt9jh+/ijwzbG6c5+xZz6FD66yuLTCZblJPxlTNhMYFtnanGFOQ5QPyfk5WLrA2WAEUZZ4z3tnh5F13ceLkKVRmWR+uU1UNZ86cIc96HD58Bc75TjnnnCjlsiyjLDO0LvDeMhqPxIFLaZaWVtjdHXHmzFnGowlNYxn0Bxy76hjTyQSTGaq6JitzjNYxKkHKrqytrTGZTKjGE6bjEadOnowp0KAochYXF8UQSEmWZezu7qC1YmFhgTvuuIOmcVxxxTF2xyMCmqpqKPtDplNRNPb6Q5xzbG1tc+bMeYbxeYYQsFbStc5qf/b3OB8vLi+zu7tNAIqiIItRj0opsrjG8NFBqtfrUWeSljUjsLS8xJlzZ5hOp/R0nyIvUZmR9Pw+pWlLJBKJ+wvRWYuMB7OgHW2iMW0uGKh10MVItGIbQWeM2aNPVlG2resalRt0jJiz1lJV1Z6Sak3TSGpPI/qDqXMYpST1qNIS/adNtCVEY5i1WOfIinyPkayu6z3Z/lqdcZ7nUJbiBOMcNqtxjcOFIAa6XikReU2NQpHrDIPUP/Ra2qW0ZjAQp5qmbmbXgM5A2+rE8yxDoWP9x1haRInuwLR1MZ2nHk/YdYE8z7pwpaIoyLKM3Bh0T5HF9KcqaFQAVzusrTubgvaA81jXMNnV5FmJwrCwvIoHxuMxYTqBTKNjTccuu0RZQoCmrqnqao+evdXHTyYTrLWdA7cxhrIs8d5355q3s7Trtnat4L3H5wX5giH0e/FZeRxBojhjWtc8zynLkqAU29vbD/bX4OOGZIS8BMF6vPWo1rCmAN8WUw1tKuguGqDbxXvxzg9zKqeocFPxIKfCBV+SeSNeO0jOjJJSsFXqNMpg4LzFI5Z52uKpUdHlvJtFNehZZMQFyi8lhi8JV46eC204OgbnawIarQzQepB48LPXZz7iEkw0zM4bEOdqau6L5DvQiBfESKgOMFDODxDzx+k5Ned85ODetKeza+jM7PVuiP/ev19ntJwzarYTUHvf+6/b/nu/cbY1Qs4bYuUnSK3NuXvysbamVvPvghTsTSQSicR9J1NKUpDGyARvPbnqiWExM2RZGWs2in3LO2imNRDIUBIhaB2GGHFoLc55MBqy6AWJAuuoxlOC1gxURqOn6DxHmUxSqVRTfFXPPDhdwAfx4rTWYlCsLq/SKwoRPLS0lZhGRQU1Ew4UMW28k8jC6BGqlcKYDJPlNDHdutLR+UW3LkVxzRH7BCWfay3RgkRhzreWQVrHJ2nzxSIfDyQ6cHV/KtV5V4Y5o2jsWlTMDOCDeFPiLKFpcFWNiilfjIopW9tzGQPoWBdk5jSmlCLLM7xTMSIzSFXH6GDmg9QK0TG6QY4KxFjVuahH9hhSD3aqis80pusJF++RRCKRSNzPDAY9jIG7Tt6JMTmrq6soFajqCQFYWVxhOplw18kTLC0ucvLkSYYLC6ytrVHVNXXTSHRkrEssUYJDpjF12uLiIsvLy4QQOH36NFtbW1x11VUUhaRsayMc19bWyLKM0WhEVUlUXxu1b6NysCgKdnZ22NjY5Mpja4x2o6zvVWcIXF1dpSgMWaZQyhFCg/M1k+kOVWUZDJdZWl5lazRmff0I/eEiC4Mh29vbmLxgsLBIf7iDMjAY5oxGu4SgWFgYUuQDJpMJ06mkhTVGx2hBMEZBaaiqmqqq0UrHupHTmM4sUE2rGJmQs7i4hLc1O9vbGGPY2d5muDAkzzPqqhJFrW0Y7e52St3xZMza2ipZljGZjFldXeGq48fx3nH+/HnG4xELC0NCCJw6dZJJNaXf6zEajwkhcPU112CtZWNzU9oUxCnLxuiMPJ/1/8LCAouLi7FGpe7S4IFEgvb7fbLM4P2gUwq3itV5ZXGr7FZKUeQFwTmsa1hYWmY0nTCZVpg8J896ADjrqObqUCUSiUTiYyc4L6VRYmShCh7bWJRBsupA5zgSlDjBtvpZkxlMnnVpuH0Q/b4PEvHomlj2K5iu1FZd1XF+lMxCvrZUcT2QZyUES/AeZx1e6ShSa2Bm8AvIPIOW9J8gWRLbGtJtNoUQAuPxOKZEL9B5Tn8wRGtDNZ1SjSd46+j1+gx6A6rplOlI5sOgFc57lHM4TzS+ZZ3TTWt0dW3aVO+lTczkWR0jIDNjUG02pGiQJETnY+djWlZNXsh5B/2+GDS1OGxLvWWYjCbUdUNVVThnMVqTZUZKo3iRlV0tGRuqqThzWe+pbEPQUAz69AcDeoN+98yMMdEhfJbV0Frb2VT2ZzGc18G3kZFdlOycrWI+46QxhizPMUUhkZzOdXUiG2fFkBxzS00nE6x1TEejB+X9/3gkGSEvgbMuGiHpav+0xqEgkoOkNNOKTBtJyUob4uzwymGyWTcHP0sT5pml9pyPfmyLpe9PzSrGRSWp32K0gUQuuuiVILms45hAY+MCV0l9xfZL5+a976JyDxWQ4rViLBRjXBu5FwhB45VDlHnRCNimemvvLbSFX/cbUFvD3cF1Gg+KIlSKvWWVmIsy3VcT0jknCr59UZHzSsEDf9zsvBdLozpv6JwPVZ+/9v7o1YMiWg9KPztff7KNMBXdajRGxvgT295fNP5eVMmZSCQSiXtFXU2xheTzJzMQwBAXrF6h0Zgg3vq5ydEBmqqG6CBiraTwNMZgtAYnY7pWCht8XHhnBKCJawJvG5pKk/lA1lPgA7aqsZMpZRkVXM6jQ0B5z2h7l36vZHlxCaM1o91diqwgIItsh6Uoc5x1OD/FIvOkycQj0be1mzEYLYKAcg4niRnwQeZbpUKcd2PdZwJBieEtKDrvx9AaDqOgFgK44DFeybnUhUa2CzIfqNaOp2aGRvklqepDIHgxqGqtyBR4J7WZgndkSsfIUotvanQAEx2yMgVGazySyUFphUPjvcMHh7MBbTJULmsjWVNINCRILRAdnyFthonW2AsQVOfsNc/+TAhyX3NrpNhnyQaZSCQSDx7j8S6rKyss5ENGowmnT5+i7PdZXllhWtVU1bhLR940UitpPB6T5zmHDx9mPJlIFGRVMRgOMMYwmUw6hWRrWOz3+1x11bFopKu6z4uioN/vs7Ozw8rKCoPBgFOnTnH69GlJ3zocsrq6KvWm4v5KKc6e2WZtbZntLct4NAEVZP+VJTY2z+G9wzrP9s4Gk6nUTsyLHjmatUNHmZ46w8r6Icpen9p5PBoXFJs7OzTWceyqq9naOo21npXlNYIXHcPy8koX+TCdTqgqSRG3swObmxkEz2i0S1EUOOcYLixKXaSyZDQakec5NpYSKcsSlpbo93tMJmO2t7aZVhMMijzP8N4xGo0IIdDUFcuLSxw6tMbOzg6j0U48V0OvV3L06GFGoxE7Ozvs7Gyzs7PNkUOHqOua3dEux44dA8BEQ+14IpGVeZ6zsLiI845qUnPllSt4L8bJ+dSqrZFX3pkxGxubLC0tdErh0WhEE+tcKaWYxPei1dlYa+n1BjhnqespZa9Aa8PW9o6kadNZNERKPycSiUTivhPi+N00DU1V4bQSA1csKaY7fb2kX3XBo7xkpjMxCs5kGUUpjsc+BuegFEY5rHMii2Yiz1cx/XiLry3euZjyJsrSPuAbSx1LbLUGvzYjYVEUlHlOmwC1XUv0er1uvdAe0643lFIMhxKtX5Q9smwEQeEbS68s0UEcayfjKTpGCfpGrtkEH+Xd6Nwcg5dCp3cGQugmtIezAAEAAElEQVRqXfqo684zRaalDmYIos93XgKMghM9SWYy+kXJ4sICZa8kM3Ifbbrzoiw64+00SCmcajolNxko0atUTY0N4tCDC7HsimN3ZxdHwBEkk4IxlL1eZ3xssxg66/bI4W0U4/w6rI1YbdvVRkOGINGu0+m0i2ht1wLzwWEmM936zNYNxovmwCtLnhfiOF43XYRpEvgvTjJCXgLXOPChM+I1MZWmhBdLDmAfJFqywaNNTK9JTPEVJK2meDwEwpxxLqhZKtX9od97jXtRCRi98KENIAhddIN4W4jXxV4F4HzUobQiy/ScUa01/rXGQg94QlC4EPDBSUpaTKeoa9OJKp11A+L8z7yHwbzBUDGLGmy9LPYb8brf7NHdiUI1DjRVVXUDRxdmjY9RGHtTn7ZtaKMW5znIILo/EnI+knH+mPb6xpjuHvY/w1ZIueDe5vqlvd6sTQpxRlEEL4WNdZ5B65XhHNqkdKyJRCJxf1CNJ6jhAv2iR9PUgHgNLg+HBK1xCnKtULrA0TDZHcc5XhO8w9oGoxXBgs41RSlp0xtn8U7mZZUZVlbXabynthbvLNobGhuwE0njVeQ5050dyjwj05rGWUldpqRm86BXUuY5wVt6eYbTksK1qWtC8FgVBZgiRyupEaFCwFqHMQ6lTayXIWnUc2MwSuF8iAv0GP2ntTgz6UDQOSFGQqJUV9PQ5K1xM8SC9h58XKeEWQaCds7eP/d673HB04Z9Gi3eqSp4QhR6siwjzwyubrBNQ+UaCu0xKkjRe2+lRiRg8hzX1GhCvK+A8haFxjeuDeiUzArO42ItiOAkW4T3FuclpYo2sabInCMYiKk0azMndEZY6Y+OEPZkRkDNMmT40DoeyXrmQx/6kKzdQrjAmJlIJBKJ+49AYDTeZRqj39bWVjh5+ixVXVGUEp2WZRnr66v0ij6T6RTnHZPJBBdTbc5HBSwtLTAej3HOYa1jdXWFqqrY3t5mcXFIWfbo9TLuvPMUa2trjEajTiF29uxZyrJkZWWFxcVFUUo6x9bWFoOFIVVdo5RiZXUVpTRVFetOu4Y816gsp9crWVgYcuLEHZRFRptx6Pjx41QVbG6P2Nzc4ejRYywtrjCtGoq8QKkpt9x6K4NeQa/fZ2Njk6auufLKYyg0tvEolbG+vs5oJBGHd955Ihpdx6ACdqtmMOgzGAzo94fREGlZWVnj3LmzrKyscfbsaZaXl6nrmqAUw4UhTV0zGA5p8oyFxSHnTp/BNg3bW1tMJhMWFxdZWlpiaXGB6XSKyYzoPbQYK8WwJ+udsiy4884ttre3CTYwHA45duVxJlVF43YpeyUbm5v0+j0Wl1e6SEfvPWXe66IehsNhV95mfp8sy1heXqYsc2pbszseMZ1O2d7Z7gyr0+lU0q71e92zzfOcLCvJMnF6quoJ1lsaZxlPKvJiSlnAwmCBumou51cikUgkPmEIIeCahmo6JdNa5Ecrhj8CGKXJYoSeyYtOVp3WFZ7Qjf9ZnqOMRs1FSoLUGy76PYpeSeM9rvZYN6unKJkTRQ+v2zqQzlHH+UIr1Rm5ptMpxhjyPKfX62HyjPF4LClflaRcbaMUp9NpF4XvnKMoC6a1pshyyliOpdfrgRXZtppMQSmKnlxTG0OwMbjIBRpvYyYjuhSknSEyGkFBoh6NEsdqHaDI8y5LkgoxKjDLKfOcosjpxVrN/X6f5eXlmBlB5N66rpmMJ51ewDmPCooiK7oIydo2mMxjnOjARX/QpoJ1lMM+OstYWV+jvzik7PWwwe9Jr+qdE72Lc50M30ZKtrUjgc5YPR/tOJ/ytp3Pm6aJa7xZRGVRFHgCeZaRqWjMNhrbiL6jmdZMK6lznWUZWUq7flGSEfISaBWTgnknUWjekmuDViDGOgn9loWyJqDxAUJUCPoQqEPdWdVUjOQT7/q96bvmQ4Pbv+drFmY66wzq84MGzKz0MwOajzWM9tZfnDd6zf97dm1NHGOQkMpZrUmJZJTtWptYlDXQFrcNMXKCoGJUQ/ycgFIxMnSfkXS+BuNeY92cwXXOuNkWim1p+6FtX8v+e57fr/3c+lla1PnzzbO/n+eNk+2+89GsB+130PPdb5gMIWC79L5tGjnVZaub1d7SyXsykUgk7ieKLMfWNZPRSDwkg9QSDHFe0lpFb79A0zi0MRR5jnNW0pQCzjY0rqGxFdNpNMQFj1eQFTneW3Z2tkEb8n4PtInpYmDYG6LzjOlkQmbEwOVdg4u1DoPRLC8u0isKgrfYuqapK4lScD5mBzDiXNSmS8ehchNTo03pmYzB0iI2poaVdYUoM7WJ81V0luo8MpWkjCdGQOpoiEQric5v58pZsgOsc5KKJM5VKLqI/j1TqxKjngte7tdLKlQdT2SMQRMIft6ZSRO81IPUMZVOCA5FwDY1KvgYjarAOerG4kOMjMxNtHcGFIE8k/Q3ITjaSEwx0HqpxRy3zubfubVBF8koKXBl00EORRemZ20d2KaN5T/9p1dKhIeL6XsTiUQi8YCwsrzC4uISeTHlzJlzgNRnzIuCummo66ZLdSbGqUEX/biwsIDSmuXlRba2d9jY2KAsS6644gqqqqKux9R1Rb/fpyjKaJz09PsFi4uLDIeDLm3bcDiMqU6nDAYDyrKkqmt6xkjkpDYsLCywu7vL+fPnWFlZZzKp6JU9bNNgrSfPDNNpw9bmFiEEzp07y2QyYn19jbLsMZ1O0cowGCywvLTCdFIREAXoeDym1+tRFBm7W1tkRnHllcfY3d3Fe0+vlDSq586dY2dnhxMnTrCzs83CwoBjV11J09TU0yn9/iDWvJxSVbsMh0O2t3djlISn1+t3crJ1lul0wvbWFmVZsr6+zu7ujkSUeC/K1lhfarS7SzUdkWcZeYyyFKVlTNU6HmFtwzjWolxZWWEynhLGUOyU5EXB9vY2bstH5ymo6hodox2MFuVt6whtre2clOd1DW2K1dFol8bVXQTM2toaIPP6wsLCnsxIrTEzqDyqQQImy+kPhyw1Dc5aUUrmEkljbZr3E4lE4v5AKwWBGBFnowzpyYyhzHNMlpFpMfzpLMP5qMOPqUiV91jvaGyDDgYUXca/2tUUZRFrBIo8mRc5oQ6dsaquxGClAW9dbM8sZU5oIyShM0AWRSHngU7XXNezLArz+mVjRG9QTStMJrJ8kecUZY+iKAnWM9ralmxExlCUPZHdUXjlcF70CkEpVIwGzPMcYJZ+NHSNlblczaW3RRO8BFYppTCxXmRmDHkmRtNWpz9fN7tpmj3ZA4zJpDQJUacdA3pyBS44cq3QyDyZmUzqVw6HLCwvkhcFC0uLBKNprGU8nXS2gbquuxSxbWrdtu9aB6E2EnLe2DifnbAoiq6f20jJ1sjZrg2sd/T6fXSMHM1yObcvHNVkivUW6x3GaIpeiSnyB+sr8HFHMkJeklgfCBsVkQ5Mq1gSZVfwTpRtXhRjhIBXM+WTdT7WXNIYkIiCEGMj55RX+//d0g5COlZs0jEioR2UOqMikkdZUnZ6gvLddaA1xO1VlMGsncZkKOVR8bgQx6M2NavUk5SCv1pLpETbR/NpQkP7Px1rUUWFbBt+Ph8F2P57PuogxMGvrZw0b+w7qMYj7I0ene/H/dGH8+dSYSYAHKQwbGnPPT8ZzEd3tP/e2/697ZuPBGkHxvlrB2JECUHS3s2Fb88MvLEtOoV2JxKJxP1BZgy+aaiZ0Ov3cc6TAU1dofMcrTN8Y3FA01iMycmKAjdxoAzGBLwTz8L5xS1a0euXFGWJ9ZLGJejocadVjKCTdKcgadWNBoXDewfBoXVA60C/JwbI6aSiqaZRaSbZFozRUTAShZqzDp3Lwj0o1aVONVpLGneAoAhBjGxBSeSn1io6UbW1pGMNC023fhGjotDNi8j9OjzeO7LooNQ5RkH0Z1Jd+lZUTLMao0nb87V1HI0WI/AFqVuj0VIRCEFqWEs9T4ngVBqJamwaJpMJ3ivKssCoAgm7lPWZ0UZyPjgX08l6tDaYGC1qtI5GSDVbzxBmDkLz0Yv71muzzSEaMGfrkDzLJT1c4+j3Syabu7JmTCQSicQDhrWOyXjCcHGBlRWPc57xeMzVhw6B0pw+fZrpdIpznoXBArkRj/7WmbSaTllcHLK2tkpV15w9e5bhcIhSisOH16PSCppmGpWHgY2NHZRSXW3FVo5cXl6mqiq2trbQWrO4tIRSisFgwPbONnne49ixY+yOdplMJmjlcI2nqqaUvQzvYOIaJtOG7c0dqrpieXmV1dV1ptOaPC9ZWizo9foUWc65jU1QmvF4TNNUaALVdILJNKsry11EZ56XbG9v4z1MJhOstQyHAzFu9nLKsqCqKkZKHJmGwwXKcsD21jZN7SjLjDzvxTYUTKcTnLfUTcNwOGBxeQkdYDyZcObMGarpFKMlwqQfU6tNpxOsrRhPRmxsbnDmzBnyPKNpKhYWBjHqY4HRaAdtFNZ6jl5xBcPhkLNnzxLGY8pej6XFJaqmnikUo8JQK8XYStrcsiy7Z9LENUPTNGLEjQpJpRTr6+uy1ogZmVqFZ5ZlXUq7LiVcgNp6GifrOBVTvJsY1bK0uMRoNEH5WtLUJhKJROI+o7VoTr1z2KaRciZKkWcZZdlDZxLlWJYl6AycJVa76vTLzkmtXmMMntBl/pvpyQ15UaCDRzV151iqtcZOa0J0csljsIgLTgxjAUwuGQuMMeQgzkBlgZmbR4Bu/mlTorZRfV0KUOeYVLWUd/GBQa8fj5W0oAGFMhmFyUSGtY4sk9qF8/rx+bJi7Q9AFkJX2g2iXcF5nHISV2SyaIhVEMustQ7H1jmJ6GwaMeBGJ14QvbbSisb6uSjE0AXZmMxQ6j7GW6wKmCIjizW1B/0+/X4fFeff0Xgk0YZadXNyVVUELxGKZb/XGUXbGpe9Xm9PUFH7PLMs6/oYZjr+tu7zfEZE5xxuGu0Qc++DURrvZI1pvUdnhqIs6Q2HzGkLEvtIRshL4F2DtzUuGn4kzLdBt6lACZiocAzeE9QsDWeICjsdjXj4QNAxig5ESbjPYDWvxNyfltU7h0bJF5ZZ/aTOcYEgxZ1i7UAXGqRG5SxUYe95VRedIKHPGVpB0HFwwuN9QKnW0BkgzIyQQbk9bd5vyJv/3eZpbr/k7Re+/dkb0dgaQT3MGf/mowrbv+cLzc5zUL8eFOV40L8POud8utX5iIeLpVxtmTeytu1vjbH7+8g7uuciT02UmDbmGA9xsG+S92QikUjcL+jgMcpIUH+cP23TEJwjD6AzQ8DhncwBWa8EZWi8l8i94DB5TpZLnSTvGryX+spZnqG0IjM5Ra9P7ZwoxlrvR6WYVhOUzXDeoaS6OwpPphXkhkwrmnqKrWtcU4sRDVBKQ1AYZchN1jkdBQJ5lovqyxh0TyIbqqrGK4VB5noVZBHtnNSgaiP/fJDMBVoBRklaGqP3rFd0VLhJapbZPIxSBK0k08NcHerO8Uq1iRJitKGXyFKjpU2Gdt+9npnBB5yz5MGjVAAtHqrONXgP/V6BCoGmrnHO42xDVU3RwRAyI45kThx95Pwe5wM+Zm2QJgZZA7Vpa/VMCOscuUIUmMJsG+3aLtbO1DElLdEhTMV+ARhNRvT6fbZ2N5hMalGuWotze9cviUQikbj/qKYNmSloGsc111zLmdNnmTY1J0+epih7LC0t45xna3OLXb9LYy1Ly0sYYzov+N3dMWvrBVdccYQ777yLnR2J5rv99imHDq1Tlobx2Md0rYtsbGzinOOOO+5gOBxy5MhhdnZ2yPOCsizJsoyqqmjqGpNllGXBlVce5eTps+zs7HDo8CHywrN5fleOywz9/jJVNUEFh2083muOX3UtS0uLYsBrAmurq0wry2RaMR1PGO3ssLm1Ra8n9Zo2zp2lKDJuuv46JpMxo90tptOKra1dzp/bYDhcotfrsbDQ69Kg7uxM8b4vtbOVKEr7/QHDYZ9eT4yx0k/y2dLSItZaptUYlObcufM4Z3GNZTLaZbS7Q7COXinp2JppRcg9uTaYsmQyHUdFpcV7FethKQKeutFUtdRyLHLDcLgQMyFJCtTJpKLXH7CyvIbJM2w0GrYp2FaXl4GZXN8aIeeVtEVRMBwOyXIjimStaLyjtqL/Kfq96OjkY6SFQWlNhgIjzlm4Bo04ofedY7Szw+7umOlkSrFYSkaGRCKRSNxnVIyskzIZs9SiJmYv0rkhK3KKPIcshyYa41odMyL/1k2NcrNSYsF5CDKvmTKn6PfEkbUWuW1el63znH7ZY1BKLUQ/kvSgCijzQq4TZWhZA8yi5FqDWFVVVFXVRei3Ti7tmqG2DdZ7ps5G+dFRmEwiMAno3NBTPXEObhqaxnZBPUS7hXdSgqQoCqxt9mQDaAlejgk66uN9mGXocx4bbQQheJkXrcYGT9XU6NrsuS+TiY7FeoezgeDo+l03kpZc0q7neKdQwUVnZYM2YiSsppU4dFc5U1tTW0tv0O+eQZZlEET/0Wa1aKNJWwei+YAvSZ0u+1VV1aVdbXX2WZZ1tSLbtUP7XLSRz4sYCdpmfAgKglYURY/BcEEc1ud0/om9JCPkJZhOxmiCFK3VWlKseY/2pquTpLXGKMN+01Dr8a/1rCakd16+2Nqjc40Oe+soyiF7o+C63yFI+rKLGLza/eZ/2qi5EEPU21oHM+Nfa/nXQBtJEJOyBfm36pKTSViEKD+Jyjs/96Wma1cbQSkRHr6rhzRvaGwHhvanvde2nV0o5hzzUYn706iGufu/uzqO+z0b5s87f+790Yzz+82nkZ0//0HPZn9E5EFG505RO3dMq4C1Mce4d7JvqiORSCQS9w+yGM0kKi8EMmOwzuEaS1YGMpPhYx1CYkSgR/5WWhF8oCgyUZAFS1M7grddvei2PoTOjaQetU68KI2kT3XezVKP00bZBYwBb2fzcNNUuKYmzwxKG3zwIObIOF+IxyV6tqZo05Boo2liqtTOO4o4vYbWqUYcpzqDpI7ZA+IPSsV7EkNtm3JVMzd/53Pp5iWNQQw+DN38LNGXsqLw3mPidYzWqFiXcpbRIUTDqNTWzHMtqVi9RBmIQ09goIvYh9IPQEzDU0htTOQYlDh/Oe+RrvKoLsusGE7bmpCtQ5CcLDoFxWhOooOQVmDb+TvMdoe9a5HWw7XX6zGtqhgB4aMAmZyKEolE4oGksZY8L8TZRWcsL6/gt7dwztPUDWMUmclYXz/E5sZ5Sa9W17ImyHMWl5ZYXl7AedBGs7S0RNM07O7uMhgMOXXqDEVR0Ov1CCEwmUw5fHiFycQyGBTs7Ey49dbbWF9fp2katNasra3NIh2MIQQ4e3aDwUBSnZ4+fYay12e4IH+L03Fgd2dENR3FOorLUvNxMmF7Z1fmxLBJlhXkJuP8+bNMJ2P6vR7W1ox2d7jyyivwtubUqbsY7e5w7vx5lhaXWVtd5+rj1+G9Z2dnFwjoWHu63+8xnU6YTEbkec7CghgeR7tjQLG6usZ0OqVpara2Nzl37hzb2xvUTU1RltHA5xn0+ywtL9MrC3GI0orgHNPRWFK4ETi/fZ6izFlcXMAYRb/fYzCQKMit7U3Onz9HVVUURSF1oWzDZFKxsrKC855z585x1113cchahosLFGXZRbU2TcP29naXIq4t8dLK9ZJVQuZ/5xxVM5V1SKa649v98rZGFnS6Ax8UVtQ1otTVxJTwGSbLOHnyJGVRcnj9CNNJkuUTiUTi/kBF+d1oMQopIM8yke2QDDu5MeJoGtOxamNEdNMi+7UGJx1ltoBEMDon6TmrqpY5IM8khXg0QCmlMJkYArM8o1f2cMbS1A1VLRF684EsWUw3nuVZN4e080orN06nMve0c1drVFVG00zG2GiYqyYTirygzHK0UvR7fbRS4vBjXSxdIvUfc0SnbJ3FRsNaK4POZwwU+V46oC350hryVNQZtKlPvZesSWhFiDr+Nh1qG03onKNxNjoWQZEVYhaNjr1tuJSkZc8Ag8oVKtPRMNwQKoX1nl6mKcuSXr9P0GpP/7WZlOaDhfanWG/1//vtBG1UaHsM0GVLaI2T7fPuxcwN87YDpaT8i9Ja7j83eDy1S0bIi5GMkBehfTE3t7ao65qiyGWwag1tWncGPq012mQQB7OOaKTMskxSbc4btZSi6A3Q2d56hq1H3V6jlfwu1Gx7u+/8Anhm1JJCqR6LNjODWWOlJoExJkYfmO4LBRpPDVExaG0bnu3JzFwdxi6CMhBoOkXhvBFOKx29LuQYF5WFRplOWdk0TedtsN8Q2Qllipiyjlk/z+Vv3h812lRNZ/CcH1xaLwQdc0+DRJU2cWCYF0DmB5uZsTLEwWcWtTlrZ7xW+3zn2rs/anNWN2J2bhcVxz4ElNFdxERwsdZo9NCUKBw5vq7rC86fSCQSiXtOO36Oq5osM+Atumko8oLaOhpvcUWGafo4Ao3zjOqGRgL6GFdTcmPwvqFylkwTnUamImwohZtMUSYjoBhbz7RpsCEwGC5gfCDEOtLaeMlgMJ1ikHnP1lNc00CAYa8nnvxNjfUZSlmc9VhytHFUzuG9KNUwhjqMcEqha0seNKaweJ2jtEG5aDhDo7KMEBS1a8STX4FtKrQSIUKXJSqmKRWP0Vj43YeuXoOOzlnW+U6YawXANgKyneO6iMI459rpFGMUZZaTZxnBOZytyRABiuDRAeqqop7u0pSaXAWapma8O6KuphA8wYrwWddTsDJ37k6muELjtSJzDosYIU1uqJ0oC01WoLWXepSZA5ehckuWeVTjUVlNUAbnwUebpNxbnHuVpo6GRLkn2ex9kPk7rk/adYfzkptiZzKJEZt+PlHF7N084D1NJBKJxL2jHT/rumZra4usKPjwRz5CnuVgNI11ZHlBNZ1ybjQWJaaC3nCAD57trW3yIpe6kc2Uum66rABlr0dVTamqiqWlJaxt2NiYoLVmMhkzHA4YDBdo6irOr4Gbb/5n1tbWGA6HWGulTlFZsrm5QZZlTKoKPTKUZYFzltOnTlKWQxYXlrDWMh7vsLOzzfbWJsYolpcWOXv2PJPJmKLI2Di/xZnmHGfOnuP41VezurbOYNCnmtacO3eGK44c5fTpu/jQzTcz6PcY9EtMUeK9Z2PjfMwGoCmKnPPnz7G4uBBlYse5c2fQRsV06aB1BkGjdUZdN6ytrTKZjDlx4gRbWxvkuWZldZmFxUXW1lc5d/YsW1tbLA6HFGWBb6R2V11N2NnZYWdnF2trllYXWVtbxRjFZDrBWkkRPxqPqeqayVRS3o7GE3Z3xjTNaQ4fPkJtRcl55bEr2dza4vzGBlVdk/ck7an3nqaqsHVNWeRR3nf44MlMxuLSAK00jW1oogG6cZYsN2TIesfE1G2TyaQzUJvoFBbiuqqOkTPeN7ImCJL+FqWpG8tkMmVtdUL0l0pzfCKRSHyMtOOn1P7VBN06inqyPGc8naAyTYnHBYfxFuM9VdNQTUVe15nBuDzqdm2XPjsARZ536dSrasr2zjZFrwdadUYt21ictbggqUzHYUwInibOV7VtpH6hEocoE42JrbPvZDLp9M9i7KwYj8edc0tX0iPPQcHW1ia1tWKobCxFXjDo91lZWKSXF2TaUDcN4+mY6XiMsk4cnEOgsZbK1qJ/HsFkOqGJUXyeMCsRomL5r7Yci1bUtgEP3omnTR7EG9d6R+McRknko8oMJs+l5nZd0zR1dw2diwHYtXrw4LEhloQxQOu0nYnR0dYVepKJToaAyg2ZApPnVNOqM+7qrowK6KaeOWFHm8G8br/Vx7eGUthbTqe1NbQpceejUtu0ru32NpVu0zSyPpmMxd4S21VXSWd/MVRIvXIgd9xxB1dfffXlbkYicVFuv/12jh8/frmbkUgkEh93pDk+8fFAmucTiUTiYyPN84mHOmmOTyQSiY+NNMcnPh5I8/yFJCPkRfDec+LECRYXFw9Me5pIXC5CCOzs7HDs2LEuvW0ikUgk7jlpjk88lEnzfCKRSNw30jyfeKiS5vhEIpG4b6Q5PvFQJs3zFycZIROJRCKRSCQSiUQikUgkEolEIpFIJBKJxP1KMskmEolEIpFIJBKJRCKRSCQSiUQikUgkEon7lWSETCQSiUQikUgkEolEIpFIJBKJRCKRSCQS9yvJCJlIJBKJRCKRSCQSiUQikUgkEolEIpFIJO5XkhEykUgkEolEIpFIJBKJRCKRSCQSiUQikUjcryQjZCKRSCQSiUQikUgkEolEIpFIJBKJRCKRuF9JRshEIpFIJBKJRCKRSCQSiUQikUgkEolEInG/koyQiUQikUgkEolEIpFIJBKJRCKRSCQSiUTifiUZIROJRCKRSCQSiUQikUgkEolEIpFIJBKJxP1KMkImEolEIpFIJBKJRCKRSCQSiUQikUgkEon7lWSE/Hjj1ltBKXj5yy93Sy4/3/It8PSnX+5WHMxf/IU8p9/+7cvdkgeWpoGrr4Zf+IXL3ZJEIpG4LPzIj8hwf/bs5W7J5WN3F44cgTe84XK35GC+4RtgYeFyt+KB5y1vkfs8c+ZytySRSCQ+/kli94yHstj98cJ118GXfMnlbsWDw/d/PzzlKZe7FYlEInFpkiyfZPmHCg8HWT4ZIRMfn9xyC/zSL8EP/uBsWyspKgUve9nBx33t18rnn6gj2HXXzfpAKZlJPvuz4X/8jwfmenkO/8//Az/+4zCdPjDXSCQSiX38t/82G+be+tYLPw9B/COU+sRU+MxPd0qBMXDNNfDlXw7/+I8Pfnte9SpYXISv/urZtlag0xpuv/3CY7a3od+Xfb7t2x60pj5otL5I7U+eww03wPOfDx/5yANzzS/6IrjpJviJn3hgzp9IJBKJhx8Hid2JxN3xnd8J73oX/M//eblbkkgkHookWT7J8g91kiz/wJCMkImPT171Krj+evi8z7vws14PfuM3Ltw+GsGb3yyffyLzhCfAr/+6/Hz3d8OJE/DsZ8NrX/vAXO8bv1Hcht74xgfm/IlEInERer2Dh57/83/gjjugLB/8Nj2YfM3XyFD/y78Mz3se/NmfwWd8xoMrvDSNTMkvfKEIUPspy4On5N/93Qe+bQ8FvuM75Bm97nXwrGfBf//v8OQny9T8QPDN3wy/+Iuws/PAnD+RSCQSDy/uTuxOJA7iiivgS780RREnEom7J8nySZZ/qJNk+fuXZIRMfPzRNBIn/tznHvz5M58J73ufuN/N8+Y3Q11/4ueSueoq+Lqvk5/v/V7467+G4RBe8YoH5norK/CMZ4g7UyKRSDyIPPOZ8Fu/Bdbu3f7GN8KTniRKkE9kPvVTZah/wQvgJ38SXv96qCp4zWsevDb8/u9LypC7m5IPElze+EZZyH+i89mfLc/oG78Rfu7nRCF3/jz86q8+MNd7znPkHfit33pgzp9IJBKJhw+XErsTiYvx3OdKhNMDFTGSSCQ+/kmyfJLlH+okWf7+5fIbIdsY3w99SBL9rqzA8rI84fF4777WwktfCjfeKOb4666TvCBVtXe/NuH+W98Kn/7p4l5xww3wa79279vXxhb/1m/BYx8r8cZPfSq85z3y+S/+osTL9nrwuZ8rcdX7+a3fkhG034dDh+QNvvPOvfu0SY7vvBO+7Mvk34cPSySbc3ffxhDgRS+CotjrjvD618+uu7YmsdXzcdQ//MMSU3xQwuEXvUieRZtis+3T//2/JdKu15P+OMj94SMfga/8SrnmYCCuHH/wB7PP3/9+adPzn7/3uLe+VVwvvu/77v5+3/pWibz7gi84+POnPlXcNfe71LzhDRLfvLZ28HG/8AvwuMfJu3XsGHzrt8Lm5t59Pvdz4ZM+SYycn/d5cn9XXQU//dN332aQ9/RLvkTe77e9TbZ5D698pVy314OjR8X1YWNjdtwLXiDvTdNceM5nPAMe9ai7v+4VV8BjHiO5dFr+4R/gi78YlpbkXfv8z4e3v332+Z/9mcTd/9AP7T3XG98o34n9s+LTny7P5fz5S3ZDIpFI3F98zdfAuXPwx38821bXUo73ec87+JjRCL7ruyTFS1nKEPryl8tUOk87/f/e78mwX5YyVL/lLZdu1223ydLgkz4JTp2SbZubkp6qve5NN8FP/ZRMAyDXv+468Rzfz3QqU8c3f/PdX/df/kv5PT/cX2oJ8sM/LMP9n/7p3nO1y4r9/jz7+b3fk3bfeOPBnz/veeLN+c//PNt28qRMMxd7RqdPw7/5NzIl9nrwKZ9y4UJ/vlbX6143Wxo++cnw939/920GadPhwzKt7+7KtjvvhG/6Jrlu+7x/+Zdnx+zuik/Pi1984fnuuEOWMJdKn3LQM7rU8uMFL5B+eP/7957rC78QVlf3emIeOQKPf7z4XSUSicQ8SewWkth938XuNk3Zm94kVTmOH5d2fv7ny/u1nwf6ueynFdnf/W542tOkb266SdaHIFE2T3mKtOdRj4I/+ZMLz3EpcRlmKQX/+q+lQsnhw7JO+PIvv2c1nX71VyHL4Hu+Z7btb/9WVBbLy9Lupz1Nzt/y538u1zyo2korqv/N38jfbZ9+5COyZhgOZZ3xYz924br3UuvjyQQe/Wj5mUxmx50/D1deCZ/5mXufU/vOpPVIIpG4GEmW30uS5ZMs/wkvy4fLzQ//cAgQwhOfGMKznx3CL/xCCC98oWz73u/du+8LXiDbv+IrQvj5nw/h+c+Xv7/sy/bud+21ITzqUSEcPRrCD/5gCK9+dQif+qkhKBXCe99779oHITz+8SFcfXUIP/mT8rO8HMI118h5H/vYEP7TfwrhP/yHEIoihM/7vL3H/8qvyDme/OQQXvGKEL7/+0Po90O47roQNjb23luvF8LjHhfCN31TCK95TQjPeY4c+wu/MNvvlltk28/8jPxtrfRDWYbw+78/2+9lL5P7/aqvkuN/9EdDOHRo73U/+EE518/93N42V1UIq6vSjvk+feQjQ1hZkXv42Z8N4ZM/OQStQ/jf/3u238mT0u+LiyH8+38v+33Kp8h+v/u7s/1+5mfk2m9+s/y9uxvCjTdKf06nd/9M2nvb2tq7fb5vfvAH5Rl5L5+dORNCloXwG78hfT0c7j22fQ+/4AukP77t20IwRp5bXc/2e9rTQjh2TN6HF79Y+vZf/ks59v/7/2b7/fmfy7bf+i35ezwO4elPl379u7+b7ffCF0q7/u2/DeG1rw3h+75P2jZ/3T/+YznX//pfe9t8113Sxh/7sdm2a68N4VnP2rtfXcszueIK+fu975VrXHllCC99qbzT118v79Db3z477lu/Vdr2jnfI3ydOhLC2Jn3U9mvLW996cBsTiUTiAaCdWv/+70P4zM8M4eu/fvbZ7/2eTDl33nnhkOi9DNlKyfD76leH8K/+lZzrO79z7zVApq92qHzlK0O44YYQBoMQzp6d7ddOH2fOyN8f+pBMP094wmzbaCRLifV1mZ5e+1qZupWSqaTl3//7EPI8hHPn9rblTW+Sa/zlX8rf+5cCLe96l2z/6q/e2093twSpa1mCXXttCNvbsu0tb5HjXvrSu3sKwk03yfJtP22/nD4dwvHjIfy//+/ss1e+UpZS06ns863fOvtsPA7hMY+RfnjJS0L4z/85hM/+bNnvla+c7df2wROfKG34qZ8K4ad/WpY6x4/vnbr3T/t/93cyHT/96XK9EGT5cvy4TO8/9mOyDPvX/1qu8YpXzI792q+VKdXavff70z8tz/O22+Tv/cuAlje/WbZ///fv7ae7W35sbEjbnvzk2XVf+1o57td//cK+f+ELpR8SiURiniR2z+4tid33Texu57gnPjGEJz1J+vtHfkTWSJ/+6Xv3vb+fyz1hXmT/nu+Rfn/sY2V+/c3fFLH4R35E1hVXXSXvWbsGCuGei8vtvT3xibK+/LmfC+G7vkuu89zn7m3T/jXpL/6i9O2///ezbX/6p/JuP/Wp8q6/4hXynSiKEP72b2Uf7+W+nvOcC+/7mc+UZ7u/Tx/xCFkrv/rVIXzJl0ib59dl93R9/Pa3y7295CWzbV/91fI8b775wvbcdNPB7UwkEg9vkiyfZPkkyz88ZfmHjhFyfuUdQghf/uXyDW/5x3+U/V74wr37ffd3y/Y/+7PZtmuv3fsND0G+OWUpq8J7A8hxt9wy2/aLvyjbr7hi72r1B35Atrf71nUIR46E8EmfFMJkMtvv939f9vuhH5ptayW9eYNSCLOVfcv8aNU0Iu30+yH80R/N9rn1Vnnrf/zH957rPe8Ro9L89qc+NYSnPGXvfr/7u3KNP//z2ba2T3/nd2bbtrZkRH/iE2fbvvM7Zb+/+qvZtp0dWbVfd10Izsk250L4F/9Cvv1nz84MXn//9+GSfN3X7X03Duqb9753bzt+/udDWFiQ2WP/CHb6tKzsn/GMWftCkBkNQvjlX55te9rTZNuv/dpsW1XJuzC/wp4fsXZ25LhDh0L4h3+Y7fNXfyX7vOENe++jnTHa7c7JiPVVX7V3v5/9WRklP/KR2bZrr5X7OHNGft71LpnBIIRv/3bZ58u+TO73wx+eHXfihEiwn/M5s22jkcwGj3uczC7PelYIS0uzUXmeEyfkGj/1Uxd+lkgkEvcz84LLq18tw1e7AP3Kr5wpJvcLLr/3e3Lcy16293xf8RUynH7oQ7NtIEPl/LZWMJhXIs4LLu9/vyi9nvzkEM6fn+3z0pfKtPOBD+y97vd/v0zXH/2o/H3zzXKu17xm737/+l/LFNr6f7TT3Y/+qFz35MkQ/uIvZDpup+p7swR5z3vkXl/4QlkkX3VVCJ/2abLMuDuaRvrtoKXVfL9893fLdNLy5CeH8I3fKP/eL7i88pWy7fWvn22ra1muLCzMll1tH6yv7+3rVjCY94mZn/bf+laZyp71rL3K13/zb2RJMy+UhiBT6PLy7P36oz+S8//hH+7d7/GPl6m+pV0G/PIvSx+cOBHCH/yBPEel5N29N8uP9rove5lM+wsLFxoDWv7jf5R9T506+PNEIvHwJIndQhK777vY3c5xj3mMiMItr3qVbH/Pe+TvB+K53BNakf2Nb5xt++d/lm1a7zUktvPrr/zKbNs9FZfb9eh+H92XvETei83N2bb5NemrXiVrgXkFsfdiLPzCL9x7rvFYnunTnz7b9gM/IN+V+fOfPi3P9Yd/eLat7dNWDdBe51nPkvtrFez3Zn38Az8gffiXfymqjv2K5Xme8Qx5RxKJRGKeJMsnWT7J8g9PWf6hY4Scjw4LQQwsMHO7a5/C+963d7+77pLt89+aa68VV7f9PP7xImXdG0BcyuZpJbP5b1oIsxHxT/9U/n7b2y7uuvfoR+9dTbcrxNOn9+73Hd8hJv6W9pv64z8ub+xwuFdqCWFmnPrgB2fGqPbnMY+RVXLLa14j55sfmZ/zHHEfmF/9XnutjMb7I+C+7/vk+Lvukr8f+cgL3R9DCOEnfmKvRBKCXLON+lNqr2vF3fHFX7x3BGzZ707y+MeH8C3fIv/+rM8Sl4cQLjRCvvGNctx8JGMIIlEtLe01Lj7taTJa7O+Hf/2v90qF7Yj1S78ko+3Roxe6A3/Hd8hoePr0hc9pYWGv5P993ydS77z0/aQnyX3N00qt8z/GiGvReCxuF4PBha6ZIYTwzd8sEsW8q+tb3yrbPv3T5Vz/9b9eeFwIMiuCuJomEonEA8y84NIqXd70Jhki+/0Q/st/kf32Cy4vepEMifNDaQgh/M3fXCiQHDT9hyDTwrwHeLuM+fM/F0HhMz/zwoiBxz8+hC/6oguH+j/5kwsX6U95iigLW86dE0/CeU/5drrb/7O0NPMFuTdLkBBm0/Snf7ootv7pny48bj+nTh0sCM73y5kzIbzznbOlXhsN8sd/LPvtX0494xmibJ5fyIcgiQzmBZK2D9ppvuX8edn+qlfNtrXT/p/9mfz+8i/fqzT1XiJOXvSiC59R+6699a2yr3OyHPq6r5sd/573yD7texfCbBmw/+fw4Zkf071ZfoQg03RRiGfuoUMXF0zapd09eYaJROLhQxK7hSR233exu53jfvqn925v5/s26vKBeC73hIuJ7Csr4l87z+amXLftk3sjLrdrhDe9ae9+rXH5Xe+abWvXpD/1U3ffd7/6qxe+Sy98oazN2rXR+98/UzW0/NzPybYPfnC2re3T/VGKf/iHsv03fkP+vjfr46qSyNzrr5c1zdOedmE/t3zVV8k+iUQiMU+S5ZMsn2T5h6csn13udLAd11yz9+/VVfm9sSGJ+G+7TRId33TT3v2uuEKKKNx2292frz3nfK29j7Vty8vy++qrD97eXqNt00E1+x79aCmyME+vJ0mN70mbf+InJKHxH/6hJEGe54MflO/HIx5x4O2Q57N/f9VXSWLrN7xB6v9tbUll2pe8RBI0z3PTTRdue+Qj5fett8qzuO02KbCwn8c8Rn7fdpsk1gZJ+vwjPyJFED7pk+D//X8Pbu9BhHDpfZ73PPhP/0nu5W1vk0ImB3Gx51QUUtRk/7t1/PiF/bC6KkUn9vOd3ykJwP/hHyRJ9Dwf/KD095EjB7fr9OnZv5//fEk4/j/+h/z75pvhHe+A1772wuOe8hR42cukjYOB9P3Kinx28qQUfTnonXzMYySh+e23z9r6WZ8F/+7fwc//vCSs/qZvOrit7fPY3y+JRCLxAHP4sNSdeeMbZXhzDr7iKw7e97bbJE//4uLe7fNT1Dz3Zinxr/6V1B/4oz+S+jvzfPCDMkXsn+Jb9g/33/Zt0pZrr5U6EE0DX//1Fx73ohdJLSitZZhvaxHM38s9XYJ8z/fAb/4m/N3fwX/8j1J/6p5yqSn5iU+Ua77xjdLOK66Y1VPYz223yfJF76tafk+f0fzycZ7pFJ71LKmp8aY3SQ2mljNnpG7D614nPwfRPiOt4Wu/Vkojj8cyzb7hDbKE+8qvvPC4H/ohKWhvjNTxeMxjZte+t8uPl79c6kP84z9KX15s+ZCm5EQicXcksTuJ3feX2H2pOfiBfC6X4iCRfXn50u/SmTP3TlyGe74W+T//R2p2ft/37a0DCfIugdSOuhhbW3LuRz9a6ma94Q1Sdwvk35/xGRd+b7WWNcU88+8S3Lv1cVFIja0nP1me16/8ysXXGyGktUgikbh7kiyfZPl5kiz/iS3LP3SMkMYcvH3/t+GePoV7er77cq778xp3d76D+MIvlIq6P/3TIg31erPPvJd++sM/PPic8yPq6qpUvm+lod/+bagqqXb7YPC//7f8PnFCKhJfccWlj1lfv2eSyNd8DfzAD8C//bdyzDOecd/a2nJvnvuXfqnMBD/5k/Brv7Z3JPZeRp03vOHg883PcI99rIy2r3+9zGqvf72MbM997oXHHTo0qwR/X6kq+Iu/kH9/+MOzUXo/7fM4dOj+uW4ikUjcC573PBnqT56EL/7imd/FfeXeDPfPeY4UXH/DGy4sOu89PP3p8L3fe/D5WmUQwFd/tSgk3/AG8Z15/evh0z7tYAHkEY+4/4b7j3xkpgB7z3vu2TFra7LcuCdT8vOeJ4v9xUVRxO4XTD5W7ukzKkt45jNl4f+Wt8jSp8V7+f11X3dx5d/jHz/79/OfDz/zM/B7vydLjTe+Uc7XKjLn+eRPvv+e0T/8w0yAes975NoHkabkRCJxdySxO4nd95fYfTmfy8d6rvu7zffmnI97nChKf/3XZa14/fWzz9q1yM/8DDzhCQefb/59ev7z4cUvhjvukPfo7W+HV7/6Y72De8cf/ZH8nk5l7Th/H/NsbKS1SCKRuDRJlr/vJFk+yfIfD9xPr82DwLXXypvVfqtaTp2Sldy1116WZt0tbZtuvvnCz26++b61+TM+Q74xb3ubmOutnX12443yjb3+evm27P/5jM/Ye67nPx8+8AH4+7+XkfKJT7wwag/gQx+6cCT4wAfk93XXye9rrz34fv/5n2eft7z2tfDHfww//uNQ1xeO9Bfj0Y+Wb+XW1t3vd801Esn3F38hfZRdxOZ+sedU13DLLfftOX3Zl4mr4BvfCN/6rXs/u/FGkQA/67MOfk6f8il793/+8+HP/gzuukvO96xnzdxE7imHD4sR8WLPSOu97qE//MPw/veLy8Ytt8D3f//B573lFvndurckEonEg8iXf7kMX29/uyyQL8a114rybWdn7/aDpqh7y8/8jHijf8u3yBA9z403ShTFQUP9F3zBXg/AtTUZ3t/wBvGe++u/Pthz8lLcmyWI9/AN3yARMD/4g/AbvwG/+7uXvkaWyb21U8Dd8bznyfT1gQ9c+hl98IMzYaLlvj4jpaRPP//zZUnQ+teATI2Li+J5e7FnNO+p+EmfJEulN7wB/uqv4KMfvX+f0UHLj9EIvvEbxSfpRS8SZfjf//3B573lFhFaLuatm0gkEndHErv3ksTuS4vdF+OBfC4PFPdWXL43HDoEf/InEiH7+Z8va9KWG2+U30tLF1+LzEfWfvVXi/L2N35D3qU8F8XwfrwX5fQ8B71L93R9/O53w4/9mKxJnvhEeOELL/5+3HJLUg8kEolLk2T5C0my/F6SLP+JwcePEfKZz5Tfr3zl3u0/+7Py+1nPelCbc4/4tE+TN/21rxX3tJY//EMx7NzXNn/BF0iU3VveIt+Y9lv+7GfLivRHf/RC6SUEMXzN88VfLG/4T/2U5Ai5mDvmiROSDrRle1ui+57whJkr5TOfKfHff/M3s/1GI4mJvu66WUz4LbdIvPhzniOj5MtfDv/zf8r5LsVTnyr38Y53XHrfl71MDGnf/u0X3+cLvkCiCv/zf97bX//1v8qK+r4+p+c/X8792tdK7pWW5z5XRsmXvvTCY6wVKX+er/kaGXlf/GKRJD4Wt1ljJCL0zW+e5V8B0Sq88Y3wL/6FzFwAf/u38ly+8zvhu75LnterXy3vyH7e8Q5p21Ofeu/blEgkEveRhQXxzPuRH5FUKhfjmc+UYXe/p/grXiFD2Bd/8cfeBqVkqvuKrxAPvP/5P2efPfe5Mi22nuPzbG7uVWiCTOnve58Mu8aIounecm+WID/7s6Jcfd3rZEr6zM+UTNxnz176Ok99Kvzf/3vp/W68UZZwP/ET8OmffvH9nvlM8YL97/99ts1a+Lmfk+f8tKdd+loXoyhEIHvyk+U9+bu/k+3GyHLkd34H3vveC487c+bCbV//9RJV8spXSqTIx/Lu3Jvlx/d9nwhIv/qr8ryuu07es/ln2/KOd6TpOJFIfOwksftCkth96X0P4oF+Lg8E90Zc/lg4flwMkZOJRNa078iTniRrpZe/XJTd+9m/Fjl0SN6n179eFKlf9EUXj5qYX/eGIH+3hlC45+vjphFF97Fj8KpXwX/7b9IvL3nJhdfc2pJESp/5mZfqkUQi8XAnyfIXkmT5C0my/CcAl7so5Z5qp/O01UNvuWW2ra2s/dznhvDzPz/7+8u+bO+x+6vXtjztafJzb9hfZTWEWQXVn/mZvdvbyqW/9VsX3sdTnhLCK18Zwg/8gFQ6v+66EDY29t7bcHjh9dv+ubtr//qvS4X5F71otq2tSvuZnylVz1/zmhC+93tDeMQjLmx3CCF827fJ/saEcOLEhZ9fe20Ij3ykVHv9/u8P4RWvkIrkWofwlrfM9jt5MoSjR0NYXpbq7q94hVRdVUoqtIcgVWM/93Olout85fmnP13Of+edF15/nqoKYX1d+nKeiz2X/RzU120/P+MZIbz61SF8+7dLXzz5ySHU9Wy/pz3twmr27TmvvXb290Hvwo//uGz78R+fbfvmb5ZtX/zF0levfnUIL36xVMqdP7blS75E9l9ZCWE6vfDzi73787z3vXL/V10lbfmpnwrhhhukevHb3y77TCYhPOpRUvF4MpFtVSX3fv31IezuXtiu+erLiUQi8QAyX8z+7tg/JDoXwud93mzK/PmfD+FLv1TO9Z3fuffYg6b/9pwveMHs7/3LmLoO4ZnPlCH1T/9Uto1GIXzqp4aQZSG88IUyJb/85bPpaP8SqJ3m2ulhP/d0ursnS5D3vS+EXi+Eb/iG2XEf+IDs95VfeffnDyGE3/5tucbNN+/dfrHl3X729/N4HMJjHiNF27/ru0L4uZ+TqRfkHlrurg9Art+yf9rf2grhSU8KYW1NCtGHIMuXa6+V+37xi0P4xV+UpdRXfmUIq6sXXuPkSXmeEMK/+3cXfn7QMuAg7sny40//VN7ZH/mR2XF/+ZeyBPue79l7vlOn5Phf+qW7v24ikXj4kcTu2b0lsfu+id0Xm+PaPvuVX5ltu7+fyz3hYiL7xd7X/e/ePRGX5+9t/3q07Z8///OLX/vd75Z1yJOeJOuS9rheL4RrrpH7ft3r5PfnfI6I2/tp12AQwn//7xd+/oIXyPke8YgQnv98+S636oQf/MHZfvd0ffxDPyT7/Nmfzba97GWy3x/8wcFt+9CHLmxXIpF4eJNk+STLJ1n+4SnLf3wZIZsmhB/9UTGC5HkIV18t38L9xpiHkjQUgqwIn/hEGcXW1kL42q8N4Y479u5zX6ShEEL4hV+Q7d/93bNtv/M7YhgaDuXn0Y+We9k/uoQQwt/93eybcxBtn/7RH4Xw+MfLvTz60Qd/Iz/84RC+4itEsun1Qvj0Tw/h939/9vmrXiXX+p3f2XvcRz8awtKSjPiX4ju+I4Sbbtq77b4YIUOQEePRj5Z36+hRGYnmJaMQ7psRMgSRSEGu1fK618kI2u+HsLgoUub3fu/BUumb3iTHz0u+89wTI2QIIbzznSF84ReGsLAgo/TnfV4Ib3vb7POXvERGvr/9273H/d//KyP1/Ci9uSkzzCfqKJlIJB5yfKyCSwgh7OzIEHfsmAz3rZLQ+737fayCSwiy+H7a02SIbZVVOzuyZLnpJhkyDx0SheXLX77X16XlW75FzvvGN1742T2d7kK4+yWItbJAPn5chvJ52qn6IKXWPFUl9/LSl+7d/rEKLiHI4vsbv1HOWxQyLc4rNEO4b4JLCCGcPRvCYx8bwhVXhPDBD86u+63fKsvLPJfPPv/zZZo+iGc+U641P3223FPBJYS7X35sb8s796mfKsvgeV7yEhFe/uZvZtte8xqZ1re3L33dRCLx8CKJ3UISu++72H1vjJAh3L/P5Z5wX42QIVxaXA7hvhkhQxBRe3FRjIzjsWz7h38I4dnPFgV2Wcpxz33uTBk+T1WJcnV5eeY3PE/bpx/+sLxvg4GsM374h0WZP8+l1sfveIeoAb792/ce164ljx3bqzr5qq9KPsqJROJgkiyfZPkkyz88ZXkVQgiXOxoz8RDgXe+S/C6/9msHJ0O+7jpJnPz7v/9gt+xgPvIRKVLxh384yyPycODNb5Y6k3/5l/DZn325WyO88pWS0PrDH4Z+/3K3JpFIJD4heMlLJJXHyZNSm+ihzEtfCr/yK1L/4WLF5T8R+fIvl6LyH/rQ5W7JjCc+ET73cyUtUSKRSCQeeiSxO3F/Ya2kRv1X/0rWjPv5hm+A3/7tg9O7PpCcPCl1Un/zN+FLv/TBvXYikUg8FEiy/EOfJMs/+Hz81IRMPLD8l/8iCZqf/ezL3ZJ7xg03SNXgn/zJy92SB5f/8l/k3v/Fv7jcLRGaRhJa/4f/kAyQiUQicT8xnUqNn+c856EvtIAIWbu7omx6uHDXXfAHf/CxFbF/oHjLW0R4/IEfuNwtSSQSicTFSGJ34v7i935Pal09//mXuyV7eeUr4ZM/ORkgE4nEw5Mkyz/0SbL85SG73A24bJw8efef9/uwvPzgtOVy8r/+l1TMfd3r4Nu+DYbDy92ie85rXnO5W/Dg8Zu/Ce9+t4ySr3qVVE1+KJDnUl03kUgkEveZ06fhT/5EvNbPnYMXv/hyt+iesbAgbX84cMst8Nd/Db/0SzIFfvM3X+4WzfiiL3rwox0SiUTiUiSxW0hi933n/Hmo64t/bgwcPvzgtedy8bd/K6qBl75Uoiae9rTL3aK9JIN1IpF4OJJk+Yc+SZa/vDx8jZBXXnn3n7/gBfDf/tuD0pTLyrd/O5w6Bc98Jvzoj17u1iQuxtd8jcwM/+bfwLd8y+VuTSKRSCQeAN73Pvjar4UjR+A//2dJ15Z4aPF//g984zfCNdfAr/4qXHHF5W5RIpFIPLRJYreQxO77zrOfLfPwxbj2Wrj11getOZeN17xGomye8ISHx3cnkUgkPh5IsvxDnyTLX14evjUh/+RP7v7zY8fgsY99cNqSSCQSiUQikUgkEonEJxhJ7E7cX7zjHbCxcfHP+334rM968NqTSCQSiUQikbhnPHyNkIlEIpFIJBKJRCKRSCQSiUQikUgkEolE4gFBX+4GJBKJRCKRSCQSiUQikUgkEolEIpFIJBKJTywevjUhL4H3nhMnTrC4uIhS6nI3J5HoCCGws7PDsWPH0Dr5ESQSicS9Jc3xiYcyaZ5PJBKJ+0aa5xMPVdIcn0gkEveNNMcnHsqkef7iJCPkRThx4gRXX3315W5GInFRbr/9do4fP365m5FIJBIfd6Q5PvHxQJrnE4lE4mMjzfOJhzppjk8kEomPjTTHJz4eSPP8hSQj5EVYXFwE4Of/f19Bv8zxgNIKlEJnBuc9PgSUUiitUEoRrMPVFu89eZEzHAzpD/pobbC2oa5qqrrGOYv3gRDij/dAQGmNUoq6qtFao7VCdUbzgEL2J4BzHu8DPngICrjQ+0MZCMGjtSLLciBgraVuarz3OOfwzstPCDgPIQCxXbaxuKZhYWGRfr+H0ZrJeMLuaBfbWEpddtfy3hO8J4SAjycKIaBRGCP3orWiLUGqtAalpR8UKG3Q2mCMQSkN8bgAeAIheJx3+OAIIVD0CrLMyLWD3L4JAZMZiqLAGPkshIBzbnZdpeIPaA1KyTajM7muUngXCIHumMxkmMyQ6YIsy+j3e/E5TXG2QQU5j/ceH6+lVKDfM2TGdJ4PSiuMNrNnq1Rsn8f6QG+wRNnrA9A0Fu8d1tq9z1QpRtOKZ7/0F7p3NJFIJBL3jnb8/O0f/XbK3DAZT/DOURQ5g8GATGdxzgLb1DK3Wyvzh9GgNS54XPAyTvtAcB7lZS4vlMY6J3NjnEt0nOO11jJXeo/3fm4b+CDzulfgtcIrsNZ259EBMmPIlMbUDnw7rzeyX5yDtDHked7NhZ6AdUrmVB8ne6XRWjOdTBntjmgaS3/Qp1f2Abm2UtA0NSqE2EaPbRpA2h+cQ2st87HWTKuKyWSCdRZjDHmWU5Qlxsi9O+dx1uKtI8OgtLQBJesa2zR4RZwnNSoeJzchk62sabKuPy+GD+CcxTor6xw8xDl/YWFIr9/DWUtVVTjvyLWBOPcHZO3gffvsVLd+ACAElJ+VVJ+vrr6/1Hp7jNKgjcZojTKGQCD4QGUbeSZK0StL+oMBXmte9ItvSvN8IpFIfIy046dWCoXCGMPRI4dZGA748Ic+zHBhwMJwwGQ04dDhQ3zapz2Jf3zXOxkuLmBtzc03f5Dp1HPsynU2zp6P82NJXTUMFxbJMjhz7ix10xACDIdDHvnIR3Dddddx110n2Nzc5MyZM/R6fa659hrW1tZ48qd+Kn/ztr/h9OlTXH3t1ayurXLbbR9lMqmpG8+h9aM87pOewLFjV1P0BmhTMKknDIcDhoM+29ubjHZ3GY12eeQjHokPgVs+chs33HAT1157PXmWc/KuEzjfMK22AMu73vVOjqyvc9fJk/SKATde/wgOHbqC3cmUkW0IRnP9dTfQVJ7+YEhmSrI8Yzwes7lxHuctTS26g8NHD5EVOWfPnMZOJ0ynY44cXmNnc5P3vvddrK+toAmcPnWKq646zrXXPY53/9M/ccVVV3D0iiOM6wlb21tsbm6ggmK0M8JVltHumMOHr+SRj3sUp8+f5wMf+BCf8zn/kt3dXcbjKZubZ5mOdnHNmN2dcwRbYZ1lZ6fCucDa2jrD4SJ1XdM0NbfeehuPe9yjOX3qTu666w6OHDnEYFhSTSacO3cWUIx2xxw6fIjptGI6GVM1lqNHj3DVVceZTsf8880f5OjRqzAm4+Spkwz6Q6677jpG412Ch8FAZPZbb/0o0+mE4D3XXH0NTdOwvb3Fu9/9jywtL2EMbG9vMx5VbG1tc80113DtNTfwP9785jTHJxKJxMdIO35+2lWHwYtOO4DIekZHOTtgfSuPK/KswEQZXyuNyTKyLKfIM4qypN/v0+v1RH5WorsNWuRnF+Q8PnhQHk08ByAXDngCyohOe17WDyGQZRnGiF7YOdlWGBO3G7QxZCYjyzLyzGCdwzYO62d6AKM1wQeR9+1Mz9BJw0HWPNoY6YPgaaylKAoOHz7CsNdjMp1y7tw5qskE7wIqgMdjlCHPFFqJ7SDPMlAB7x1ZlqGUIssztIa6ruPxlqaSeVf5QJbn5FneCcZZlqEDnb4Dr7DeMm0aqqbG4UXPXmiMlvvPM00W7QL9wVB0MdZS11XUkXu01tFuoHBOdOYqBMq8EJ2D1pR5SVEUoruINpCmbmispWlq6rohhECv16Mois4+AiK7W2ejXl+RZzmDhSFFXqKNQilPwOO9xTkLBJz3hABaG0AxrRpe/ua/SPP8ASQj5EVolUZ5bihy+dKZTAaHoGZKJhdmhkGVG4KRF93oDIPC1Q1oGSjwngxNlhUoRMFW1xVVNcGHQJ5piiKnl+to3BQDpYsDJ97HKp6KItMoZaIhi2i4i21HgwqIPTF0A6BzDgP0sgJgZoiMg5f1cQCL+jPbNDS1YWlhQJHnKMA3Nb4s8HlGHvI952+NkEHPBlsThT6TadRcv6lobPQ+oIzGmAyT5dFgp6IRUBSGQSlC8AQMPniUgrzIyYocpcB5h/MeE8AYQ5aZbqAMIWDtnPGzUyIGtAZjZADTev6roAhB4Wwc0PAYNJkK4BpsJecJriHXiiJey3uPs3VnhBwOemSZGB1VvLaOg2W7zUcjqXOBXlnQ7/cAaLImbs86I2Y7ic0PjolEIpG497Tj57Dfo5cbdBDDXJHnDAZ9yqKkLAqstYxHI6Z+jEecXPKiICiorSxkyXOIAoFrLAoxohVF1s2R7TXbn9CN/a0RLyNYj/VehCUFaIXSGpsZghMnF9msyJRBeVA+kGtFmZnuOt38awxlWaK1xoXAZNIwrStqZ1FK1jZZlqOdxwyhrhu0NugQZG4scjQKqzXeiQHWWStzUhBjK1rL2iheQ2UZpiyxdjbXlVqjoqBGprGABQqVAeLIFUKgEbMcudIordBGo42ODkKAD905jTGd8HExnA94BU4rvPHR+Uj6v5/n5EpRRYeyDIWB6FQW51ytu/m2fY4imImwGKy74H1q9z3o3065zuiqtTiPBQPGqJlxNc/Jc0PtwwXnTSQSicQ9px0/fQgM+j2cc5w6dYqTrezqPDs7uxTGsLu9zbnz51hdXWXt0Drj8Ziy/CiLCwVLC4sMyoIbbriBO++8k3paEYC8yNAqsLDQx3tP09TcddcdHDq0yhOe8Hje8573UFUTdnd3Ge1uM+j3qK3jK577Vbzzne/gbX/zNq648hjP/eqv4p3vfBcfvuU2alezM9rkxCk4tH6Ew0eOUpQ9zm+cxdsBj7jpJu688wS7uztok1FkJVdeeRytC/Ksj9E5Cwur3HnnbTjvufrqY9x4/S4Li0Mm04bRzi5bO9usHTrM8soSpq4pe33OnTlLWQxYWV6l3+szHC6yvLBIrjWNrWiammldUU0r8izj0Ooaea45f/YsZVHQO3yYtdVV8jznyKE1RqNdtnd2GI1HXH/9dWztbNM0luFgSJZnTCZTMp1RTy1XHLqCu06cpN8vcSge8YhHc+LEad73/n/m+hsfwWLR59CRw5w6eSe7W+exzlJVu+i6YmGx4NTJM6ysrjEYDLHOo7XhyuPXoLXiiU9+Mv/0T+/m3e99N72lVa6+7jjX3/goemXJbR+9jaIoWVxc5NTJk2zv7HD11cdpGovziiuvPE5eDrjmmmtZXFnj1ltu5eSZsxw7dgwFFEVBluccrS3T6RTXNJw+fZorr7yS973vn3jc4z6J0XgHozX9/oDptGJtbY2zZ8+xurq55x1NJBKJxL2jHT+NRJUQNF0gDEHkKhTk2hCCxgfQyqC0GOi0NiJ3FTkmy8iLkqLXozcYYEwmAUhGx2AdD74B5yAoFBrlPQoJuskyEw2WYh+Q9mmUyjpd+XyQTJ6JsbE0OZkxnW7Aew/OEZQiU5qs0ISQdfoD7z2usTShxuoQnayinjk6XLXX8M5jtEJpw6AoWR4MWBgMKbOcZjxh7AJ1XUeDoabIc8q8iH0oOobW4dg5CZrCGsqioJ/lFAONradUgFGgg8yLRVHgrBXbg9EoL3YGozVFURIoyOuaPM9wOAKBxsUgKe/RIQYrxftpnbczrSkH/ZnRNm631nYO21l0ws6zrDMohwDjyZjpZMLUVBTe0dicoq47nUJ7LshRSlHkhTgoZxkoRV3XONvgtcE6D8qRZZosN5S9nLqeor0ieAkdawOq5t/TxIxkhLwUMchQGxmksiwTNVlAvCCco2kagguoIFbvELQoEq0HmqjQCojhy8RoOFEYap1jjEMFUWa1ln0IhODEwOYsPjixPwYZgIzJY4Rha6RqDXezCMumsRJV4SXywMXoB5NlKCAYidRrv/DKBxTt4BXQiOKwrhuC92glysAiL2QgsrP4S6UUYb7bWs9/1AVfvHlFrFJItEaWk+dFHFwD3kuEYFCglCgefWg9M2YDRavItc7Rtqa7tlIXKAZbbwalAiHs3W9eWayVJsxFWbSDvvfi9aC1RoUAcdKIc193HnmWofP6CG3r4vMNIYZPtm2L//ftexAcEGQX1UaPIh43Og1kiUQicX9gncUbcZYhRvtZayVajeh5F7MYmBg5mGWZOMTMZQ7w1olhTimC99RxYYtqZ1Q6Rx1tDApwXiL/TFxMuyjkuNBGT0aHJCR7gKwB2rmkm1ViFoGZgCKRAA2gyPOCsixxAZwbMa3F80/MgHI+a2X+VEruvWnE0Jg1Fq2VeFt6F70NLVm8L3HimXkijsdjCJDpDJWpzqEpxKwNQQUR6IJMa42zGKUx0aGKmBnCI4ZWVIjHxBkyzH5774G7X9j7QMxiocm0jlOuCEHeOeogTj0hroHCAedsrzW/boG4Vpvbb36tMG+47M6BrAkIPq4f6dYAgRj5mWXdc2zvL5FIJBL3jTIv0Eozrafi9BECw34fCEwmFYOVZRYWFuiVJUeP3sS0rtBas7i4SJEXbG1vs7K0wNbWVjfP5ZlhOBgwGPTZGY1YP7TO+toat912O3/5V3/DYNDniiuOsjvaIc8zBoM+RZHzD+/8R4q8x8rqOldffS0fvf0OTJ5z/Y03YIPn5MnTjCY7mFxz4uSExk7IsgwUnD69wbXXXUVjpzhnybOcXm/A4tWrTMYVJ0+e4frrbmRpaZ3RaIR1U+palGpF3mN9/TBl0WcymXLm9GkOHTnK1cev5tzGJv1ej7qynD51iqNHrwQURmuapsE5S5EXFHnO9s4Wp06c4NrrrmFzc4OV5SV2treoqwnXXX8DN//zPzEc9Lnuuuu5/c4T3HXXCVbXD5HlGc57ptOK8XRCvy8RqFmWkWWGsiyo65pe2WNre5urjl/Nu977fq65/sYYCeFYXTtEryw4v3Ge8dRR5iW725uYPOf2O+7gxhtvouwN8AGm1ZTeYMDNH76VlcPHuOKqXW699SMcOXSUwXCR8XjMIx75OG699VY2Nna44tg1NB/9KI0FpTKcUxw6fAWNh82dEY0PHL/mOkbjMR/48Ee4+vg19BeWqOqahcUVpvVZVg+tcucdt3PqXSdZXFpgMBwwXBhy18kTFGUPrTN6vQGbW9ucuOvEZf5WJBKJxCcGzodoMAv4NlCobrpsOirKgFFqFv1t/NF5js7ECInWOB+oG4uJ2XdCrsSoFKMrTWbIlUITcE2NrxsAMmUo8gKrZLuNTrttMMn+oBITjWWZMp1xsmkamkay4/T7/S7jTysTaq1FTo5BRETnWK216OnbDgnSFypAE6P96vGUnc1tfG2pq4p6Io4zGkQPoQ1FFoOO4rnFjiDGRGdFLx2cIziJjDSZ6B/yPGZ1CsQ5PYO5bITB+y67n8pjhkat0S7D4rGuwddO2pDnlIXYKrx1VFXV9WN77qIoWFpaivaOhqqqusjTNitiluUUvRKd5WKk9B4bPCozDHsD8mhs9dbGjAtjjDEMBgN6vV6XcSnP5fjd3V2qqqK2Fu8tPjQxMErH4CexDxENp0rJu5I4mGSEvBRx4DIxui7PcwBJ1RUHBGctTXDgWkNge2irtGq99w1ZlnfW+7quKcs2/NfiXIMPVgbB4PDBAB6lDSGo1haFUpL6zBgjilJlOqOdc7b7wjfNzLDpnBNPAtMaQWeKNB8NkNjZAAcQvHw+nU5xJqMsCow2kEEIDQG/x5AWQx0v1o2RmeK07aPgQ6fInY8QmTfUtRNHGwUhqeBkALbOSjSKmhkmZ8bGC42gohgUI+T8frP+aKMzTdcfRVGAl4jMvMg6I2RmJEIFFeZS5wKIIlIGpNk15qMiOkNq23XKS8RnkHuT0+xVtmqjMFkqbJtIJBL3B03TYHVrzJuNrWKcEu+61qgEYtAyxoATZxWNoqmbON6LMbP1mLQxynEWlS/n6qITnYsefyEa9Uw0VkJQAbSkE5FUnYiBCsSIpwIKg4qp3bv0pTE7gvcSCdnr9RkOhwSlcF4xrRu0nnT316aGn59nvPfUdcNkMo1efCE6wGi8t6g8FwOcBhMdqwC8813Eo1KyTvIh4BrX9WFmDCFI/2oUKpfUK22WAIC6aZhfTEmamQsNgy0HFXuP9uEue8TM3Cd/icFRtX5mkmo39n97jfZ3m0KnFUjaNVVhsq7P9jssHXSOoCC4dr3jZ+lktWSDKIqySyfvVXOpVzeRSCQS9wBrLYcPH2ZpaYlzZ88QtOcpT3kKZ8+e4f0330xVVVjbMJ1WLCvF2bPnUCqwszOm37M42zAcDtnY2CDPM3a3d8mGfXZHO0ymFXlhsLbiUz7lk3ns4x7Nn//5X/LWv/47Hv/4R9I0NXmRYTLFBz5wM1//dd/EufPnufW22zh6xRXUdc32zg633347xmgWFgac3ziNNp719UMsLfcZ7Y6468RdlGXJu/7xnRw5cpTjx6+i1+9z7TXXkWc97rrrDNW05sSJuzhy5AiPetRj2dg6zc03/xM7uxNuuOEGtMno9TY5dddJJtMJSsOZM2c4dOgw585vUuYZWmlu/+hHObx+iOXlZbSSSFK8xwdHv9djtLvNiTvuZGlxgHeOfr/PXSfu4KpjV6KUYVo1rKyssLK8ylXHb+Cjt9/B1miH7Z1tjl19nLLoMRwsMMp3uX17h1OnTrG8tMzW1jZbW9usrq3T65Vce+3VTKYTrrr6as6cOo3SOUurhzh2/BryvMDWFdNpjVKast/j3MYmV1+zTFmU7IwnLPX69BYWyfOC6258DLWFv377O/mXn/s5YHqgSx73yZ/KnXfeyQc/8AFsXbG1dSePefSjWV87jAsKU/Y4+f9n78+aJMnyLD/sdxddbPfdY4/MrCVr66UGGBAEBgRFIELyA1DIT0gRvvABLxQBhBzKYB2gq3u6q7u6Oiu3WD3cw3dzM9PtLny4V9XUI7ORM10pKEGNnhKvjAg3M13M7C7/8z/nvD/j+uaOo8NDpkrz7uyMz7/8irKuefjwEZfXtwiV4BFUdUVZlSx2FhhrSRJNXRvK8q5bW01nU968efOH/loMGDBgwB8F2igwF1VoXgQ1ovJBSCR12GMqBN5ppNLRPS80f+pIQgqp8IigmIxCGmsdPrroSCk6J55MSSrvqZsm2MBGR6W27Nx3POpHr3T2qUKQJglOtg55WyVk+7x2b+ljZEdQAyqc3Nb4tzXsnjVrdA6CoE503tPUNavlkqaqME0THB2sI9HBPlUQtswCEZQvnbhGoZSJxKno7rfxBjwoLbv9sYyuhFJKsiyjtY91wnakrI9uS6gUrEQJh2ggyTSJ1uRZRqIVzthAlprtfrn9rxCiI2vruqaOdvFSyvB+K4WQItjZ2kBkGmsw8Z5mec5sNkMrRV3V0cmi6T4TXcO5cyFKzxgmkwnHD0ODVtPUVPWGqi4xpsY5i4z1hiBCIt7JQTj0j2EgIb8DSZaSZGmXWdQfRIQUeOkwQmJ8KJxZG770eZ6TJMk9Uq0dVPpfoPBnGVV5Qe6sIukpBBijgs+w8PesyFoiz7pgz9Y0hrpuuiKnMZYkydAqQUhPy2kpmQSpeDfIbbtGXKtCaMlVa2IHpO1k4p0cWimMuG8zJ4XAiUB0doOgbwuGIYMxiAeD/7ZzQQLuo9K0LdLWdUMdJdoq+kHTda8QlYjxGrwBHEmiSKQmSzO01t3g/WE207ZQG87D+3C9SaLukZ9NExSs7UQDIKRHK02WZeR5hneOpqoxtgk2c4h4jaHAWDcWj+quDaJdrI/FzDZTK1oGOOcwpok5ZOE9bAuV7T1WSjEIIQcMGDDg+4E1hkaKTtkmCON0INO2s06apggfMhCMMcioeHPGdkSWbBX1QJ7nwWIzZlJUVYVMNOkoi4t2jas9WZJzdHTE8dExzjguLs5Zru5orKWxwcGge30EWiqS6GJQbSqcsUFFGV0ZAvEYsizKsmSz2YS1iFLcLe9omiYQairpiFCQ0WHAU5ZlyEcqSyT31zJKClKdh4W299RljWkasjQL9yr044SuyCwoN6y1FJsC0RP2BSsZi5eghcTKOFdH4tRXVbBgEQLtgtpSIDBsm4z6naUfEr3eh0YiqXRUlcYMb0LHaGjgEuAdjbMI60MnqlTdOq1dC3kCcSqiLY3Agw1rtcb5e2s52M7TH+aAeLZkZcjK1AilcHiKoiBLUybjMXt7ewgpOb+6/l/l8z9gwIABf+yQUlIUBX/2Z3/GP/zWc3Hxnt/+9rccHh5wfHTA7dU1J+/OUEnC3sE+h4dH/Jt/81fs7e1SlSU6UyyXS/b395BScH52xWiUkSUZD44PcMJTVTUHh4dIKfgX/+J/z+eff8V/+9/+ir29CcfHR5yenvL06XM++91nPHzwmJ35gmJT8vjJo0D2JZKqLJlNJ7x6Y5hMcm5vr7g8H/H86XO0govLS85O3/Hs6TPqqmCUZ7x9+5Y0GWOdYFNVjEdTzi8v8HKPhw8ec3t7w+3ylsXuHqPxmOurG37ys5/x9ddfc319jVAps8mUBwcHvH17RlEX7O7ucXN5RVVsmC9mNIWlKAvSLCFRiulozMXFe8r1HUdHhyRJwmK+wBrHdDrj6uqKBw8esClKlne3/Omf/ilfvXzByek7Tt+d8rNf/AIpJcdHx1ycn3N9fsHe7i6z+YzV8pZ8POLhwwfkowlfvXjB0dEhk9mUpqkxdcn+/jF3yzVkYw4PD3n16muqqsZ5x9n79yRZxnx3l+V6TZqOOJzt8mC2x3S24O7mln/13/2P/OynP+PFq7fs7i6CtepogpAKV5WUVYNSCeko5/buDh+LlpVp2Nvb44c//jG/+93vePXmDXfrNZPJBIdnU5XkeQbesbe3F5yyPBwdhfdfKcVmc87+flCqnr8f5vkBAwYM+H0R7DHDnz2BJEt0GvfhGu9i3EeS4IQMCkklUYkmyYKtdkueSR1ISx8bcHxQwQB0DbVKSpo61GzTNMPVTXDlqypElpBlGePx+F70WV3XAF1kmBCCsighScFGos35YMGqA6Fnqrq7RiklXnoMNjoUii4exVu3rcVbF8jV6OwklepUiMYYvA0OiU1dd3X2PMuQQmKNCa498WYGpyON9glStaRksJ4Pjn3h7x15F5uMW0ep2WwWahR1Q5IkwZ5VhmZkIWMcS9z7q0QyykeMRzmCQJpKIdBRFAVb16GqqoI9ajxWW78XUmJ9iLVRkY9or91FpykdawObsgg8hXXoNGW+s0MbZeOFoI7P896j05TZfM5sNmM8mSIkGFtRFBvqpsQ5S1GsqeuGsqioqiYIxBhcjf4xDCTkd0GIYI8WC3xtYVJA7OYP1mXOWqTUW4Vir6u/7aJv0RJSWqtYpLJ4gsIukwlah6IbwqG1wphgheKwOGejPWpb0JIY02BM69XcKiUlqQ7KRReLe95HNQMCL0RUKrigoHQ2KglFVEc4mtpgjI3qC9kdo+vO+IDgc60tnXVsyb+eL7WDzp+N+8U6ay00zbZro+t4aP28o32qAGODdzSilw2lFbnOOxVBK83uK1g+RF890VdQhhzIQCi2qoa2AJskmjQNWZhVVVIWBTgXCNPufY9Wa9J3XSvt8drPRZ/wbBWOLQkJ3FPf9JWcoSj67WrTAQMGDBjw74Ysz0i1DgvzaD9S1zU+ZiRLGcLRdcxX7BpHos2JJKgBhSdkOMZ5SScJ2TgQkY1pQIa1hJACZ8IC2XjHJMuZzKZM5zNM1aCuQ+ediypJa+027yFawbcqP4nARjvVMJeEfIssC/kHUjbUdcPV1TWNddze3iKkJInWdO38PBoFK3RjLM55Vqs1VVlH94HgtOCdjXmZOXk2AueofIVzFmtMyJT2RHeCYNXSbo6IDUntBonYsHTPniVmbnjCeklIGZ0evs3JYLshcc7dy4DubNWdx/bcBVonBSEEidZEDhLrxbb707cO/PF+xyYqpI/Wu2wVmj37+7aztW3S6ish+52bnphz2VOPAuRpzigdkSVhE4gPFrYDBgwYMOD3h5SS5XLJV199hTEN3nmub26Yzaf8J//Jf8IXn/2O3/72t5y9P+fs9Iy9/X2cdRRFgXehjDSb7bO7u8vd3RIhBfko4+joiCRN+PLrrxnlI05PzxiPxngv+D/+5/853oXGojev37JYLLi8vETJhK+/+IKPPvqE+WLBzeU1iU6Yz2f84JNPqOsKpQQnJyfMZzPevH6BloLd3V1GWWgI+ru//TVPnn6Mx1EUFR7NaDQjywy3yytGozwUxExOPhqRJhk3N7fs7Mz56c9+zsuXXzOZTliv1zx+sk+x3qCEZD6bgRfc3d3hXGg4XszmpFpzu7yhrkvy6YTdnTlawsm7E169fMnh0SGPHj5ivV6RJhlVVXNxfsn+3gFVVZHnGT/84Q9Js4xXb9/yu999zrOnz5hNpvzJn/wp/9//6r/CWsuzZ0/57e++5ODwkKasmE3HTEY5b9++4fGTJ+A9aZKxvLrh8PAhdVVwfX2GkBrrK2aLHTxQNxXj8ZgmFmbLoqSpLYlO+ef/8X/MX/7lr7herciSlOV6w858wUcf/4Cri/fc3tzw4uVrDg/3yUY5k8UOqq4QAm5vbphOpjw4Pub25gYhBFdXVxSbDWVZkmrFzu4OZZ5SNzVpmnF2dsbBwSFPnz3n/dkZjx49Yr1Zc3C4z+8+++oP/dUYMGDAgP/Nw8V9HsRKsxAE1UZ0qWkbRZUiUylShZp9aMpVXQSLkqHeKwVb10Alu3qu9cExr3EeKTyizW/0kbiL+9zWahW2pNy9xtTe/tDFptZ+Q23/cbCtiwMdpxBcDmPN2ceMSaXQI0UWm5HrKjQVt+ff7VPx6CQhFOcD8dYKjkxjupgwRFCVhnNp76UiSbOovDRopVEqCpVMJAWNQWdZ1xjtk9D4XNd15yxobXivkiRFJ4GEzNIUpTTOmq34Kd7ffnYjbJ0egU4w1DZ9103TKVKDE2UQNjnraOqG5e0yPN5apJAk0eI1TdPuddp73h6zKIpwLy8vUVqSpJIsS8myHKVlcCssS5zzGOuwdTNEq/wvYCAhvwOeMLA5a0MuUiTy8D50VXQDRAykjeqC9ouhlGI0GnUDUeiK80jZ5hJ6PC4SXAlJort/Fz1rNWsdzhqs81jTHlMipccY13UttJ7QIBA+ZC/JaI/m8Z1VGoCXAicc+NAxYqNVahxioj1Y+zeibZvryDPJ/UJcd8/8txTPYnHxQytWFZUALSnXqhrSNCVJJCpRiEjQBaK0Z3OrBFImSBVUHKlKO6vbvvVd/3h9y7SgOLxvS9t2QNBZym0ng0DuhkGqlX43TU2eZiRJQpomsQhrcd5Smyp+hjwqDoD982snoNbm13kZ3+seOdmF5IZXcr1ukAEDBgwY8PthPBqRaR1sPaztciGbuu5yFHzs9huNRmGBrzXCecqipNhsqKoq2KICItqSZHmOShKsd2AFToBxFuIYbo3FeYdMNF4KNmXB8vKGy6tLlqs7ZBI7JQlzgvLgkFgBwnq8sIQlnOjWIK2zQpirQ0OStZa6LinrGmsdWRIW2WHODZakWidx7rWkSUaiQ5bCerWiaQyJ1igBJk2RQpAlaQiXTxKMETE3s8JGFSK0OZVxAR83d/0/u+jo0M6xwTomnHOSfDPIPeyxtmuNflZjX4XY/VeEzE3vg5KUnmIx0RqBx/qojGztYz1do5lnu/bpk4/eBYLQO4fz22O2674Pbdf7tvACiUKFDMzAkyKFJB+NmIwn5EmGN8Hapy6q7/ujPmDAgAH/XqLdj19cXOBsKLClScJsOmOxWPD02VPquubLFy/54ouvOLhdcn19Q11XZFnKfDphPp8DoXt/sRhTlgU7OwseP37K6zcnKKX4/Hdf8Omnn/L40WPevHnL8fEDIKwdbm9v2aw2rJIbdnd32ZlPeffuLUURchBvrq7C3CThaP+Qf/j7v+f89B27ix3Oz07J05SPP/oIpRL+6q9/zfL2lrvlLfv7DzFOsVjMyLKM1fqWolxRna3YlEvqqmBvf4+iLMnLnMViSpaPWC6XaK25ub6mKmt+9KNPSXSGsZ7D/QO+/Opr8I5EK8pygzENSaq5ub5CKslolHN4cMDFxTk319fs7e5Q1zVCCOoqNEf/+S9/xt/8+m+5W92xu7/P4cEhVze3eC+4vr5hvVqhVVgzWRecjZSAs5O3fPKDH9HUJU8eP+Q3v/0H9vd2w5rGOLROeXB8SFOXWFtzd3fHTCfc3N4wnU5DZlcqmY5HmMbijUGpBCUEKkl59OQpBwcHjPOcs7N3FJs15dUlSioePHzA66bm8vqaUZlTW8fB4SHWWDabDa9fvaI4OAiKjfGYT3/8KV988QVfffUlG9twfLhgNB7x7t075rMFZVnx9dcv+Oijj9jZ3ePq6gIhBU1t/pBfiQEDBgz4o4HzPjSTym0uou/9f1s/VkqS5SmJTjthiJQSJcNe1omwP7Wtu5+UaKlDDFvcq4ZauMMJFxpUY6yKl4H4bIyhcUG81OcEtm6FYexXSuGURiVpqHFD2G8nSVeT7hqfe/A9DgIfXJiEDPEwWumYqRjINCNlaAyOtY32/mghwDqa2Dhs24ZeGfa/Iopquog2KTFNg/M21q5V5EhcdDuM4qu4J3axoTtJgnCnczYk7peja6CQQZSVJAkqCU267bunpEJqgfMikMyRN+iLvFrb1NaxyVpLVQdXhE6cpcMGvyrLjgxun2+tRUXnw37epNa6qzm0trhN01DVFUVVg/CkmWI6nTAaZSgd4mqaxgR7Xu/aHLnv5wP+R4iBhPwOWGfxXnZdFcFyLXQtQOiel0qBVMFLWsT8JtrAWRUk1bIlutoPvyJJBVoKpEy7IlVQ2NXR59iilMRYQ1VWOGvily2NCr3WHlYhRbAsba1a+97GHyrpWjl4azvaNA2NaRAqibmGsYgWv+zdF/Ye6RoKcfdIvThg98m+bioQW9vW9tjdYBLp0XuWpVqRphqpQwdG09RY13Ym0E0mUoZOFY/vrGPbQe4fg2hVoL1ipukVT1sSsiVY2wlDK0nTBKvYqiqo6yrI3PMsksox/xMQLvzduG22pSR00NASn94F691oBWCNjxOTQ4iWqKZHpAoCETlsXAYMGDDg+4COi3WlVGg0imHxSqpgTdJapCsVFI3t3OXDnJcohZUSQ8hsaIdrYw11abHOxjmj6uaZLMtQmeqalJqm4fz8nHJdUPXm59aBQQuJI8wvDoclbBI8MdcwNrO08/V6ve5sSvoNOW1TS5jTt/NwURTgwwasLEuA0BSlNHVVIT1k4zECSVVUrKRgPpuR52PAURYFpq4pyqbbDLSdg+16wBIzM6XC4fDSfWNtLmIXaZjp2g2W79ZfPtqjtmjn7L5rQNdJKsA2prNyb8+ntdqlU7OGHwmxEes+cdhfJ7T/7axWOyuabadq+98PN4+BgvR4FfO1PMhoBbS3WDCeTFBKUdU1TVFi6q0Fz4ABAwYM+KfDRmsu733oyvch5+fi4oK//Mu/5Eef/IAnTx7z/vKSk3fvuLy6Itiwh8LWZDpFa81kMmZ5d8N8PsVaQ1mU7O8fcHh4zOnpKVdXN3gvWK0K1uuCvb0DxuMpH330EUmS8A9//xuu3p/hTU2ean7x05/xu8+/5LPf/JbF7g7eWLxw/OAHn/Dw6JirywseHB1TlRXFes3OfE5R1vzyl7+kqiwn797SGMdovIfWCbt7ezz/5DEX5++5vb3l5OQGIeAHP/gBN1cX3N7eMp9PefToEa9fvyLRmsV8znVzTV2W7B7tAZKmMezv7NKYhuXNDbe3NyglWCxmSODsJJCuT589w1vLX/31X3Fzc83e3h6ffvrTbi5+f3ZGliWcvnsbcqmtI8sysnzCwcE+N9eXfPXVVxwdHVEWa07evuHJwwd89rvf4Z3jBz/+EU8eP6KuK07fvubhw8d44xjnY5qqZjZb8OjRE9blhrOzd4ynE26XN+zu7lCXBc44bm9uSZOcw4NjjLMcP3hIPpkwnYy5vrzkybNnbO6WmKbm3ds3XN6sODg65N3JW5qm4c3rl8ymYw72drj0lkTtcXsbbFSL9R3F+o6d+RQlBCLRpFlKnqZsNgVNbfnoo0/YbArevTtjPB6x2WwYjXKqamg0GjBgwIDvA21TqCDYrELctwlwCCSycwtKtQ415q551KMkoASJlmglwFuCoAd0S4IhUEKHPawPzb58S9MpeKqqihmKW+Vei3aPGPb5BidUqKETCFAdm2Xruu6574SmWa1UqMc7h29JNkCx3f9CVEn6IH4y1oCIMXItl6EUQimsD3azxhqUU3h8jFYL0WkqEmlCgMXhmmgvS0tq6sgdRBFNtJ51MUqmrZunUb2ppIpujoAHayzG2+AckCdBVSklAtcpSifR3al/bW3NH+jIQyklSbKNmumrSU3dYJrgNthmfXo8QkJtGoyzVE2NlJLc5uR5jo4N6n2RlJCSJE0wJlzXcmlZrSDEvhhEm6op1D0+ZMA3MZCQ3wFrLD5afUmlgtxZaZyUXRYUANE6LDD19Ow5ZfygVh2ZFwphhK68ODi1nsXWWsqyoigKrLVdB0FV1UgBaaqilVeCxeK9icqNqIKUKhYeXUdA9om/oIq4X+Rsv6hKB3tX2uLZB13996zO2BblumO0ykaxHQRltGdrJ4K+1Fy0qkYgiiq716MrQ7Zjb//Y8bVE9KqWEuscrh1cYqHxQ/9o7r1+HKDFN38PrXWbvHfcVuIdCN4qWPp4F4N2g7RcitYyNZx9P3y4fX+7jMlewVRKiWU7cLe/b587YMCAAQO+f1hjsGqbBeispSzLYCvejsWxScZYS13VeOdIiHahsQuxzYN01lI7h1MCG5tIrA30VpsPbOPGJNiGNbjViqauqVcldV2Fec45nN3OwS2VhW8znIO9qxQhfD3RKUpqnPDUdUFZVKETD4K1im8bj4LNetu16D2U5QZngzKyrmu8D5ao89mMMkkYjULHvzUG7yw+dj1mWRZsTa2j1AVZlkVHh6SzJ5cxk6I/70G7CevNdQQS1ztAis7evetjkjL8vremae3SW3K33YBAIPpCnmbMjxRhfSOEiIpXFx0uXOvdE1+Te+fZR6t0bOfploT88Lrg/pqltYPFK4QT+Oj7qpQmSzLyNCdLgtWvayyusQg3zPsDBgwY8H0g0Uk3T6SJxlrHdDplOp3yySef8M//+T/n3bsT1mXJ+X//rymrmvEoJ81SJuMR+/vBitXahuOjY0xdsbxbkucZs9kcgWR5e0ee55yenvHzn/2cw4MjdKL5+KNPuLm94aPnH/Pw+Ij/1//z/0GiBacnbzg+fsyjB8ckUrPeFFxfXpPlCV99/iWpSvnpT37KowcPeX9+gVKKs9NT1kXFL/7kz7i+XeO8JE0T0kxzeXXBYnfObDbCmBlSea4vrymKgqapOTg44N3JCS9fvgIceT7Ce0eeZsznc05P33F89JDd3R3evDlhOpsyGuU457i5uaKqDDrZ4WD/mP39Pd6/f8+rly9YrVdIIViv1/z4xz+mrmvG4wlffvklP//FL/ACzi8uaZoa5wRlWWGdQMojsiwnzzMSnXB5ucbahoO9Ax4/fMC7s/fMFlNul7fsHx3x+tVLis2a6XSO9JK722WXrawiAWuakv39PcqypCoLpFAkStBUJXc316SjMeWVQSgFIjQBOWdprGWxmKHUY87P3tNUBUmisdYwGY/49d/8DZ9++il3y9vgipFn1HUDPqwTT96+Qckw73/94ksmowk7O3vUzYqr62vSLCcfjVneLRmNxxhrmE4nf+ivxYABAwb8UcAT6rZKKYSSnXtOq6ATMpBqwX41EH3t/lpKQaIVk9GIJE1QUgVlog915lQG9yAnABkEJUE9GMUh1iJ8aAr2xKZXG2rISinSNO1Ueu1esa05+BhhJiIXUBRFp8Zr0XfZCSrIbW1ZSkmigg1r2GcGBWLY2/pQswCkCsSiiBa1gqCmlFrhnaOsK4y1CCVJk1GXkQntPh0SMkRsdvbe4GNjsU4ktKIbQhOz1rrLrAyEpCDLskDsVSbUMUxD4wxNY8GG6BOvHU4qBIHEVEKi2SoV+/ehram397YjfUUgW2UvAs0516lD22bsflZkcGBMunva5zja53dqyTTFuRTnaow1WNtEF0QTajJtrcGFmsuAb8dAQn4H+l/0tis/5BwBKhTf2o76pmm6wUfr9kthYhEuMOlaa/I8J800SoUBMx4J5yzGNN2H31pHkohYzNOxYBcGj7YxAr/NRWzZf2OipLtXDOuKZh/4UW8ViTooPADaTgu1zbdsuy7uqSLZqg8EouuEkG2ikgC6fMjWLk2Cl8EPulVtt1lLgkiABnKwri3KBbbROd+dnxCh+JskCVmeAx5jQheFc9travHhn9vfW+u63McW7b0XMYtStLJw77de2T2b15BXKTrS0SOjIlbgLShPJIR1r0gdXl9JiZIarRK0SjGivEdMtsXO+2TkUJgcMGDAgO8LddWgCGSkiZasdV3HjkeJlCJ4+yNCU5JzSE80Nw9rBBezkj2EoHsVciSrqsRGIrOdPzwh87e1eJdC4LMM7zzW2TB7CoIios0kaMk4HyZK70LXjrUO4y14gVZJyHqUCm99ONe4AVIy5F1Y77HWd4pE70PGclWUXddemoROROcsrm7IkpTJZILWOiomFVpppFC0GdLehe7T0WgU8jGljLambSaG6NmMy9AFiYo2t3HebRt4XLCX7zfwuNhb6IN/aVg39ObFPgnZ2u1YH3Isw81s1w6BMDbOIpwLzUveBWViWPxAvP9hExGIUt8jKXtNqfF8IDRGhdfwLqhVobXJb61xQ/TG1iVCIVXoqLTWYJo6vBdVGbKh/WC7PmDAgAHfB5q4twZYr9fMphNGoxzrLOv1mhcvXpCmKYvZjDRJEFJSVSVSOB4/OOLJ4wekicZYRZomfPbZinyUo7OE1abgl7/8Z7x8+YrlcslmHZqIF4sdLi4u+Oijj3lzcsJf/fXf8Ms//xN+8pOf8uKrL1mtNkip2dnZZW93Rlne0TQbDg4f8fLlS6azCY8ePGR//widZLx4+Yovv3rF8YNHvH7zjt29Q65ulnhSjh9MEUJxevqOg+MdZos5aR6ags7PL7i6uuYHn3zCbL7gzZtXjPOc58+f8/rVK16/fs3+7j6r5R1ffvE5OzuXzGYLjo8fcH5xQVmWTCZT7u6WvPj6FaM8Z29/j7vViurdO5TSPHz4mNl8zs3NDc+ePeP29paiLPjd57/j2bMnXF5eBtcIJcA7TFORKEmqNT/4+Ie8P32HFIqmCc5DeZ6R5yl1tE8rq5Ljo2NOz87QKmE2yZjNpjRNw+nZKbt7uzTva5xtyPOMySTkXU7GUx48eMD1xTUXF+8ZTWfsZEcUVU1TVUxGI95fXGCN4dbdMcpzprM5l1XFoyfPePXya2xjUULwl7/6C37wySdYFxwuppMJNzcFeM1sMuH87Iyd3QW7uzNub2+5W62DYqIxZMKjU4X1FulBSclkNv4DfysGDBgw4I8DIqrb2giyreGNC85GSpFoTaIVOtqvhucFAlDrhPFkQpqmSARNU+O9Q8uELMlDY7IALz2NNSAalAXX7vicA+HwWIx1neiobcwFts5KWuOto/IVTWPQaUqidHQ+LDFNyEPcmS9oouIuNDSbTt3YKjDzJCUfjcizDBWbfsuyxJvQZGudxRob7FpjrJiKwqm+4581phMTJakmSXWslYf9OFGJmKYJUgnq2sWotK1YCCDJMvI0JdEJVVVhmwZ8UKNmSUqWKWxqg7NUJbF4pLcgw/6cVrzkTCR3wW5KsiwL8XZpgnUG5wxKy86toq7r4NAoPQ6L95ELSdKuLq9aNyhrqYrgLOi8ZzTK0DpBRL5BiEDahvq9BKExJt5/IUizDJlqnNdUVRHLDBJj4jUgQg3FOJrB8eAfxUBCfgek8yhaNV+wYrXOR5WERwkdBzJB5SwIifeCptl2OwTyMSVJBOPxmNFoFCw1he06IcLC22FtINHG43H8sofuCa0VZVkilY7eyNvcQCEg0YpRFjyMnfPYLOvyJ1tr1g+VjPeuE7YdA5FklFKSSAXCIbToCppN0+CMDZlV7Uv5tiQLSidb8lYqJCqSdrKTQAsZ7U7j4CWislFKELQ5lQDBk7od/KUMVmpaJYyyEXmWY6zBm5JQ7Avy+ZCXGexalepnNIX30bkwUTkTM6OEC10fUf2oRDgPbx060eRZTpIknZLUOYeQCqVSvFR4ESx5hdSxSBqIXC+CeqMlM723EJUrQieoNMNLRW0d3otokRdI4bBhtoDvyOrwnv8v280OGDBgwIB/O9imwcqgFmzqGhczENM0JU0SnHVUZUlVlbjGkqUpeZYjVZjXjHVURRHcEJQiEaFpSHpJJjS1MzhnQxditP+QyI5QlNYiTEOiNT5JSOImoqmDy4GrDUJqZOywdJHICxssh2kMWilkCCQOC2DnydMcbwPRJhF465EyQcmwjpGy3Vx4UpmSJBk60ZHctIFM02ETkMV5VjiBkppxNkZ6SVM0IfuiNigVFBPGWZwx4dqMQ9YNLbEH4F3InnBIjAuWrKK3JvE+2qhCpwAVPhCaqp372rxrIUF4CtvEvA6D9U3XPCW8C9cqBBAD7L0nT1Os9zQ2bKBcfM24QgnHcGENYq0nSTTeS2w8rkcilEZ5j7cGaxzoSHTqsNFBSKTyONcEkjGEZuBltI1JJGhDbTdc31bIVSBlrY3dl8nQcDRgwIAB3wdkjErJYvTFZrNmlKcsl7d8/dVXCOd49uwZk/EYKT3QILxnPs25u73k+vKM8WTEbD5lXa64q9bsz8as6xqhEyazGaPJmIvLC6pyw+5ixu1qxc7ugndnp1gvcELx7vyGg+NnzOcHvHn7ivdXZ6yrW9IswYiKzXKNlDVaeoT1SKEROmf3cELlEm5u7tDpAs+Y1cqyuzgmSTOuLi85enDMu7NTlkXKw0ePcUrzZLHPeLbHxfkF784uWUwXzGd7mKYiz8Y8ffKc09ev8dYwSlO8NdTlhnR3h5M3L0mzEXmq2d/dJ1EJ6+KOz778HeIrwc3NLX/6p3/KdDbnL/7iV3gEt8sl4s0bHj5+SGMrrq8vePjggPEo4fz9W44OH/L0wRFXl1e8f/2ajz/5Aet1wY8++SmmhrdvX3N+ecHh4QGz+YzVZs0Pf/gjzt6/ZzTKmE+mvH75ih/9KGc0mnB6esJ0OiIfjfDGUpRjimIDCIQCYwXWw3ixoAHen50jdEbTGCajEdfLAl8T2pxsQrE2jEYLJtOwlpovjpkkirJYoYTk9cuXHD84oCw3LK8vmM6m3F5fILyiWK852N/n2fOPybKMFy++4vr6gqJY8vOf/ZB3707Qcofr6xvGoynFaihODhgwYMD3AS0JtVtvET5kI1prQm3ZOXKZMM4ysiyP+98GpRNUliJkgs5GqGSMUDLUnasGayw6S1FJSpornPeU1QacR8XcRITCCahcIC2d9xjraYwNDU2xEVZLRe2C/SfW4Y1FekGmU/IkY5TlgTD1QbgkPaQ6CQpLrbDCh6ZZUyMcnVuhUopEqU7YYmPbbm2bILYRmlR5vAPXWFSSkao0WLtqfU/xGUhFg5QO75rYUOyQwkeiLbr1OYO3Jtq6ahoTivlaa7J8zHQ6Jc8zyk3JanWHsxaVxPuYZqEJuyhQxkR1og8OQYDSKoiulKb2NcvlkqJcs1gsUFrgCUIgIWE6HrGYzxFScHl5yWq1wlZVaMYWIWuycQ2mMYwn49B4Zh2uLHCVRSaS0SgoPkMUXh3rKwJra8rGdDasSkVeQYGQgSNRaEhSvA1CqDzJ2uC0cC9xmGEv/49iICG/A0pJlFTRciN8QVpCsiXV2k6CYCPmO/Xa9oO7tSVL0zYI19NEdWSrrGtJxVYODHTdE0mS0JgYdBob5Ju6oa4qsizryMzOKsyHgNlWblxV1T1f4w9tRgNJZ+4Rp/08o/5/pZQILZCRyGsH2Pa12j/D1n413s2uEBkri1FRGaWQTuDEVrkppewsWp1zkSndZjt5D8bYzr6086CO96Dtev02aXVo2/jgzf7Wc/bd9fTt5Prvsfeeumkw1pKmveeL+DmJxKbzPio86ihVp5NqG2M71WiXWxWVHsHu1Xefpw+9xQcMGDBgwD8R3scwd4VMUpxUZEnaWXO0OZGBmBNdMRPo5u1RzPPryC8RlP61sSjpW2+A7X+7ppQwv5i6wTYmNuX4rolFCYlXHtOEedw7j1YavOlswAVh7luv1xSbsiPRnLXhda2NhJ1CpgIRFYLWitDZ1zQIH2xlhY0ZFy5Mz6YKmdEidkAG8hSqqsEY15unZFSFepwLxF2wsrWdTcr2dkdnBm9Ryocmp57FKtyfg733nYvA9t/C40Lwuw8NQjFvu1uHQFQihvtuhUWo8OTW0UGosIlQ7XvheseUsuugbN9rZ+IaQSmU1GTjBGcMxjYg4twtJTJ0MeFxoXFKEizfjMVLj9ChQOqlDzbsHnxj4hrGx+yy7+8jPmDAgAH/PmOxs2C5XFJVFZNRDt71Yk9CY8hvfvN3BKchx2Q8olENTVXSVBvuljcYW+NxrKuCNM1prAOhWN7dsZjv8OzZc85O37HerPgf/vX/wC//2X9Ano9ASR4fP8BLyZeff8kvfvwjqrJid3+fJBOcnb0lyzRNUzOfzrm7u2UyXnB4eAh4Xr56zY9+8lPy8QR5V/Pw4RPmi12ur24xxrEplkwmI5q64vBwn7PrG8bTNfPZHIViNJ7y4Djl9YsXLG9uGecpAjg9fc9iPkUrRV1VzHdmHBwcIBBcXl4wX+xSlgXPnj3l5naFsYbD40M++/I3vD054aOPPkaqhMvLa7Is5+DgkM1mTVXXVHWwZ7++vgp2bVJ19QGcDY1H3ndrmqqqeXD8kM16zaZcUVYlO7s7vHrzhqLYMB1PuFut0FIzm455+/Y1x8cPMK4hU2N2d3awxnB5ecnBwSFJknBzc8Pt7S1qtWE+nzOeTJjv1NxcXvLo0RPuVku00ozzEav1klVRsdiZU1UVaZIDjtFoQr2+I89GPHzwgKpa8P78BOcs0+mEzXpNUZQINOPRiDRNOX13zvGDQ54/f854nPEPv73hs89+y/7+PuNRjm2mbDZlt54YMGDAgAG/H5QQqM5pJprURAGHUoo8DUTfKM8xPjgXoRXCSbwIjkdlVaGaoJIMdd7giBOsSYMjoXXBvcaZJjoUbWu33sfINSDxonPqwXtUKplMJmHPbh1GOLSQCAVpkgY3pPaxMvALxWaDdQbwpNHtEAR12XQ1/aoscdFpUSB7roe9mjdhT4/zOGOxwuBj/bqtZ/fRNA1p2lJELqj6unxLAaiOewgRZNvYk6quYBWiZpSQ6CRFZWFvXFYV680mNOoCWZ6TkmGtCSpDKdFJsMJtTI0QoBNF5jOAoKy0TVd/B89qfRf2101FWx533lLXDcbG8/SO9XpFXVddbT3Ls94ViygYG3WCo7IsaZptU7P3EueCwhEhwntFEBdJIUmTHCH81hwpSEfRAwf5j2IgIb8DSodsR7zACR+LbK6TfQOBP/OtzSn3iMfWfrVP7m02m9AZb0OuYD9ctU9ehvymphvEhJSBtPvASrX9QrWv0ZGL1lCWFWVZdjmQfQKyfWzfn7pf+OsTm/3nCBGCepXSqNaDNR6/Jei6x90rLiraTMd26S3EfYPRD0lPYr5ia/na94FuidXWyvbbMiC7INkPBljvw0Dc4l7Bs+cT3idq28JlS+z28zybmEcJISA3qED9vXvQXlP7nrYF3C60OAYMf9vxjTFREau76xwwYMCAAb8/OuJPa4TW4LbzqYtEY9d888HCvbVC13GtsLXsDuN0P5tZRAtypcK8GboOm67pxzZxbI/unviQYzgajTDGYhoL0UY0vF7INGpnNyEEiQ6NSzhofB3mjuBzgrCtFbvD2zZE3pEoFZwBXFD/u3ju7VxX15I8z8myrHd94f50ZG07D3oB/sMs6f7dbi1PJd6H+Zve+W/vWdhgtPNd6wLg8SHLomflrhONsNC4OjhVOIsQrpufAaQV2HjPRW+e/7amrC6buV3idU1EcY0kQKqgsFRJgkoUzlk87WZMR1se2X22nNLoNNyvLMtQKunWJ9b4b6xfhnl+wIABA74f5HmK9xNub+9iQ5ENLgI6jNFfffUVWoeso9FojPewszNHeIuzDe/evefx08dwt+ZmdcdivotKEx49esyjx08QCB4/fcZnn/02zlBwdHSMEJLT83O8D2P93t4eQgj29vfZ8TPqasFolPL27Svm8wVSKKbTnESFwtzOYoeVsbx69YqHjx6jVc56vebg8JiHDx+yvFuyWq+ZTscsb5cs9nZJ0pTbm9tg0S40aZKxmC7Awma1ZH9vh81qxbvTt4xHE/TDR5y/PwOpqOqa0XgMLuRDC6n4zW//gel0CgJWmzUg+Y/+o/8d3oPWKcXmllE+RuuU4+MHvHz5AucNu7tzXr54wcX5eXCV8J7LiwvqxjCdTbm5uePq6orZbEGSJOzvH3Bxcc7l7Yq71RJEWH/d3t7w8OFjVLR21yrlq5cvOXn3hoODA7z3XF9f473vcj5VdKpYLpdsNhvSNMUYw+7uDkpoVutbjo8OKKuKm5trkjQBEWJmRqOU2dGc8/P37O/v8PevviLPEibTkI0dytsOCNZ20+mU09P3WOORQjLfXXB1dcVolDCfL3j69BlffP4Z8/mCvb19JuMpb9++43pz8wf8RgwYMGDAHw+6Wirb+nMr6tFak2VZ9yOswXmLJVjwCREciKzZIKUgzzJSpRAuNCV550MDaXytUIsNGYDbenxPKCIVUrpuX+yMJdUJ0+kUawx1WYdmX0BJxd3dCmcCEadUIM7SNImNynRxIVJ+0wmvy5b0nkSnHffQ/i5wE9v6cn+/29au2/vWF7porUmSpNvv9+vebc6ltZaiKEh0sJz13lOVFevVGikl49GILM3Ip1O0lFRVRVEUeO+6moKMsSc2JMuEvbWSIfItT0lS3V2jMYaiqLraS91UIfbGGrIs64RbpgkcQZKEew6wWq1YrVady+RoNAqPNQYpFaPRKNi9JgmbzYamae5lRsLWuraqmu5zJiXomMnpcYAntGx7Als0CIf+MQwk5Hdgqz5TWOuwrfIu1s22CodQ0GutONviVitv3tquth9qh1SBXOorFNsBoq+6awcK4ywqdhM2TYNWOsiTe2G07etbGwqWdV2HjYQQ3eDb5if1C24Q1A19ovHD/Mj234UItnJSbNWFrlVO9gpn7SDR3kfniHajITupK8zKUE0Ugu7+tWgLeFJKhBJ44buuiy2VGSqRLfn3oWLwQzK0b0fbf68+JCo/RGtpC3STUP/97Q/oLQnZFqf719MnmNuc0CRJkH47EQTvb3tPkdoOfn3Cc8CAAQMG/NOhte7G3TbcfbNab223CeNynudoL+/N5+188GEDUNM0NNagdBa6BmU7f0br8eA7DspjjEB4E7KCNN16IrxgWGGMR1MSramrirvlCmtd7O4L6kjTNDgHWZYzGY+DlasD0zRY05vTGxM6Qz146xCOaCkfuiudDfauzoYOvn7zlPe+29C1nYL9623npm9zQQhdhFvXhbZjMqylQvOWkCJYmIrgPtGuQXyb8+w8Oos3kGiXHglBRbBccy6SxhBznWVH6HbvpRAY73s2ra3KMVjG35t7fchvzmLWxnaDGTspRzlZmqG1pK4rNuWGpqlDxmR4A/EyksWAThLSLCNNsri2C9sVpEPrlDyuKbwDvym/98/6gAEDBvz7iKqqmc/n3N0tqeuGREum03HXHDSbBzeDd+/O2Nvbo1ivyfMRWaLxrqGqSpbLNXOhmM92efDwEXebDY8ePuX4wUOkkFxcXPD8o48pN2uSJOP8/JzDo2OKsqRprpnt7HQd9qM8RaKpasnu/gGnZ6dcXt4wm8159PCQzV1J0xiUVjx98IiTszM2mw27u/s0xnF5ecmPfvgpaZaxKQqKouDq5gqU5MGjJ5xfXHL65oTxaMruzh4ugaOjQ06N5W65Zv/ggHw05vXLr1jMJ6SjEcWmYLU+4/HjxywWC25v7siyjJ2dOW/enCCEoG4a9vcOeP7sY9brgrpuEOKK8XjGeDRllI+4vr5hs1lxc7PCWcHZ6XuODvcpqwrnJIvFDjs7u9xe33F+fo73gvl8B4DJZML7i5psMcGYmlGecv7+lIcPHzLOM4SUnLw7ZTbJaYzj5uaSfDwmTRPenbwJTT6ppihK8JadxYyyLNms76iqiuPjB1RpQdPUGFMxyhPMJGe5vOVudYe3M4qyRHiLEp7buxuePHnM9fUlRVFQVQUPjh9QNyUvX77k6OiQ4+NjNpuC1d06FJGlIM8z1qs7bm6uyfOco6NjXrx4yXoVVCBpmlIWwxw/YMCAAd8HpFLdnq7dq2VZdi+XMTjzOKQUeBfq92mSInWCdVAWFeBJtEanSVRIWlbr1fY1JB0JaawPcRxEt6FIaCIlUkSnmybWrB0ooXDe4uIeMzjzQVGUITsRmEw04/E4xrIF9V9VVV09P4ho7rsutnvtLE+7v7dcgXWONNs2vbZrnmBx1JIZ4c/h2hRZlpPnGVprqqq6xxvomK/YimKcs2ityLOsc2aq6pqqqiIhmmydomK9u7YNToDxDmcDZ+HwaBGOIdWWQ8jznHGeU5VVNwe3tQRT1VSbAucsqdJInQQasOeINBqNot1qS4BuaxTee8qyJE9zJqMxi9k83Evn8TNHoYuuHuC9xxpLU9d4EWJmpJSkOjg9QCj1iNYhEwFegR9IyH8MAwn5HWg/6EoqpAh5QdbaQIB5iB+3YM+lHMgt8dZ+aPuqgVZNl6ZJqxK/N4i0X5xWPQE9NZ8PDHs7EEgpOpLLWYtpgqqyDbBt6gZjbEdqtj9tt0K/4z98KWV3rn3i7lvVhB6EBW8DMeZ6BVkVK63bwW6rjmzZ2/C64ceJbXFWqC156H2gGTsyF0djt10b7f3qn2snO/+AUPzQ7q3/PNiqVT5Uin5TzbntDumrG9sia/uZEXLbeaO1vkco9t/vvgJWi+019f+9Lf5uPz+DhcuAAQMGfB9oSbXOSpMwdvebPdp5UznxDQv1D+driHMWilSnoEKXX1jEb21cO0Vd3CBprcG11u6RfHMEVWGcN7RK0Doh0aFYV9VVJEtrmsaEhbPzcZ3ikCJ0RPrOllQikTgc3oFwBJLUBMcB5xyYYE8rpIyqShE7/2pczIoODT9graMoyl4jVZjThWjn/q3i0zkfshhcu1bw3RooPCasHURs+rr/HB/P024bmGTHR4bHWhc3dlt7185Cvw2gduCFwEuPEz42bwWrVGcdQvh7a6LgKBFfr9fU5OPz0jRjPJmEz0a5CXmYUWkabzghn1rG+5YgRUvItpsk0a0pRqNRzMtwNH7wcBkwYMCA7wPGNJ0DASLkDo1GI7z33N7eMh2PqKqS58+ec3J2gZwIJuMxgmDD3ir+rfVkQjMezxA658nT53z8yQ8RAl6/fs2z5x+zXi2xTc1f/83f8Itf/AlHh0dcXl4Hizdv+frlC3bmM6bTEUWxpq4K9vcO+cXP/4S//du/oyxqdvf2aWrHu9MzHn/yQ9Lrm66ZeDYfcXe34fT0lN29XR4/fsx6fcfXL77m66+/5ujRE/b39rm8uCTVCalO8RYa51nMd1neXlFsSibjKY+fPOfs/Rvy0Zi6NhjrMNZS1TWHR4fcLe9IkoQnTx7z2WefMRqNmM8XvPj6JY8ePcY7gTWW2WwGXnB4cERVlbx69TWLxQM2d3fc3dyymE64W90xnewwn82Cxb1zCGOiUjFnNpvz4MExX3z9a7I0Jcty6rqhuil5f/aO6XRO1TRICTs7OyzvVtRNQ5IkrNcriqIgz3Our6/Z2dmhKDbMZjOcc5RlGQu5FfP5hJvrmrPTN0yn02C5Jj11ueaL9ycoJbm+eh8ULNby5PgBCCjLEucc+WhEPsp48PAR78/OWG8K5osFu7t7pFlOVZVIpUjSFOdD3MpoNCLLcpbLOxKtyfMRo3H+h/1SDBgwYMAfEdr6cT8G7UPRSF1XyESjtCbLM6bTBVIlbIoqiHci4WfTBEHYAxYmNNzkeUaaaYSQnfDFYvBe9Pa8AhX32UIq0Bq878RK1oQfF8VHyEC0WalilFqoB6Rp2hF9wdGw6URQMu6xP1Q9Nqbu6svGWJom1AayNEVrtc197EWktLamYd8a8jC1VsGmPglkq1IhE9E5i5BJjClzJKnGk6OUIM9zkiQhTVPSqCb0eOqm4m61RCAoigJjDaPRCJ2E2BFjLc6F+oHWOpC0xgeLVmNCXYCtqjXLko6QRfhgcSuCy5CUMkbQ+Ht1mVa5mec5Xdxbz92obabebDYdhxNIYEFZlvceG15TxnuiSRLV1Y668rwXId4lOloN+HYMJOR3oLPyikoBFT9gti2keR8yfwQkCZ2Sr6+K65OQHRknAqn0oV1nn0TrK/m01iitcLHA2BZMu2Koc9hIcEoZyFKV629YxvUJyL4aMnQ3bFV97XFhqxRpv5itZZvwYKz7xnP61/Ah8ddHW9gTvv1if7t9qoyTiXEG48w9dWQ4bk8tKe5bmfXVjx8qIfvy8/797pOQ/fdiS/7KzuqlruteUXb7HClklNOn9wb99nOwzbXcEo4qSe8do33frLUdmVkUBZuq/raP6oABAwYM+HdEXdeI8SiSgP6ewrGvQBdCYJqtJUd/3mi7Lds5siWZhEpBtsSljRatkYBr5zu1teaWXmznisZhY9NRsdlgakPg7jw6kqbegzXhteu6pvENZRG6D3Ehd6KdloQXpCqsO6wF66M1ASFzsj1vgeg6FlOd0RhDURShIBfzCsuy6ubfkNFgAU+a5vcal1rcn5d7Vq1uS9iF++kRwsfHBJKzbaQChTc23jcRcixlWDc4gkuF7xOWXuBsuM/hGNFJQQhUdyxxz/a2XSd083PMdFBKRXIx/oigqFyvN+E++FC4RQh0ErK4vQh5YbK9Hyp0l7bvtW3zN4F8NAp2LlojhQqmrkOz0YABAwZ8L2gbX3wY0kNekDGU5QbvPefn5+zt7ZLlGXmeQZry6ac/5vz9OxItub6+wsVOeK0TlExQ0qNUwl//za8py5LTs/ekWcbdHTTW8YMf/JDf/e53/Gf/2f+B3d1dHj56yMHBAf/mf/4VP/zRjxmNMor1HVeX53gf8gx3d/YBxWy+wFk4eXfC6btTptMpk/Ek7AfTjCo1JDplubxDSMFisWB/f5+vXr7g9avXfPrpTzBVQ5aNkUKG/KK4/JBCc321pK4a9vd3uLx6T56HuT7Lc4SUXN/c0BjDwd4Bo3zE2dkpWZZycvKW8XjCbDbn/bsz5vMdbG1JVcr1xSXVZsPB/h6nb9/y+MFDytUd//q//294eHyIqWrWbkVVVjgPVVEwPZzjvef9+/ehaGor8J63b9+ymO9wu7zFmoa//fXf8ODRE37wgx9wdHjAu9P3jEc5eZ6y3pSUdUNRFDx58oQsyyjLsis8tmuzuq45O33Hn//JL9DS8/nVOW/fvGJ3b5dRnvPw4RFKeVarO07fvWEymWAaw29+c4HSIQsrz3O+fvEyKC/SBKkURVGy2RQopXj89Cl5llDXDVmWohTcXF8zncyipb5hMh5ze3vLkydPgf/pD/vFGDBgwIA/AnwoSLkXxyG3DbHeu6BWH+XM5nN2d/djdMaSqqwpo7NAnmhSrWMTcev6I9GJjHtEhZQ2WKTGyKxAOEWloffIWL8n7i2t2QpS2jgRonWnlyrkQlpH02xFKy7WJTrFpZQ479Gx0SVNUyAInuqm7rkqOjwWIR3ONYCK+1yHtaFxODw3RjU7IgEpcM5gnUF52SkkpRIx6iRE0FnnSWUSiNk06exVXZ53j6mrisY03K1XeBtqG0orpBbBUcjaEGfnLYIQt2JMiGmx1gSXRWuoqqq7doGmpg4ci4A8y0jSpCMgvffUvffcGNMRtf1Is7aOk6YpWmo2mw11XZPnOXmsufedsvoOl94LlFSkSYJSMS4uNo/HokN4b138GfCtGEjI78CHiruO6PKEoiDBritNUkTqMZGYahWPcF9113ZjhAFJ3it4wX0FX/u79nmeUNgkDWSVabZWrkRCtHuO3voQt0Tjh2rMvsQYwgDU/ltfvt6eS5/E88phq/sWdIEY3crh+78L5KiKA5hERHVIXVWgJNILlJL37lFXqOS+53Xo8DBg23u0vc7+vfuwgPwNdaO8f6/7v2uP0ylNexZ87camJRc//Lz0pfD9nM0PCdkPSee++vHD+5okCZPJBIDb1fq7PrYDBgwYMODfAq1bgfc+2HZ+YIFNz81AWB+9D7YuCdsmnu28FcbsDK10sHGvLaaq4zwY5iytFNYZvPHIRIVFrAW8QKKQOiHVhOM3LVnYoFVCnubBsjNWVIN6MiossRgTc6vjhsi3lqQ22JDiWht5ATYoH611NMbiLYhUkiWaJM8QddVtmlp7l3YN0c5vWyVfRlVV9N0XWsvxNluhnb+NafDe9nIXHc6BMS6cvxBRBUm8htAEpmQgBE0T1l9SBStU0SowncE7G65Zhw5PBNjoXiEAkSQxi6N9N8O9MN51c3iwfQ+KmfB7OiLS+riBdBuMMWRZilASYw3WNqAEzoFWCpWE4mWaJiid4gVRVdl2wiqk0qgkReoUh6RxjrrXqTpgwIABA/7paKJTUEDYe9V1SZqlSAneWGazKe/evWOxe8DtzQ3Hx8cILJNJjtaKm+Ut+WhMUZScn59zcPQA5zw//fmf8OWXX7FXlIwnI37yk5/w3/43/4o///NfcnBwyMnJCSrN+eF4wtMfP+Hy9D3X19dcXTmePn3EarNilGccPXiIM5a/+su/4jd///f83/6v/3cmsxn/v//uf+QXf/pn1M0lizl4JKPRlMl4itKaqq4wpuGTTz5h//CAz7/4mv2dXXZ392hqR1NVKKmoaxMaiIVkNBpjrOHd6SnHRw+4ur7AObi6umE8npBlGcubG5qyYnexYJxnzCYj1IMHnJ28Y/bDKdPpjLOTd+RJSrUuUFpSFyXv3rwl1wknb96SJyk780BYKq2YjXfw1pJmI7IsYzQeMxpPKcqKu/UKsEipUTI04jw4fsimKLm+uUZLKItNeF6eYkzNelNQNUE98ujBMW9fv2JnZ6erXZyfnTIej9ldzFEC3p2c8K/+1b8k1Zq71R2315fcLa+Zz2ehwUkJbm8uUMKTakGWZFS9xvLJZEKappydnSKlYjKZYW0T8qC9593pCU+ffYS1lru7DdPpFCk0TWORQrPZLMmzDGNqzs5O/mDfhwEDBgz4Y0K7F21rqC3J9qHIJ0SDhf1VW8sta4PzYX8rpOhqAVYInDV4Lwkk3rZmsHU2zKjrhrKsOjebsIcMe+dEJSRaI4CqqEJMStOqDlWw7nRB0KRUoGXKsuwcmYISb7t3biPiggovkJAeh5CwWhVA61ikUEqgVDj2ZDoizzOKTcl6Y0BYrGsQUiNF68LnqGqLTiRu47r9vJSS0Wh0jztoawBZlpHmCUKBcQ1VXWK9QSqQWoSIFwdKS4RSIATrstjW2bUkSzOkgNqE+2OaGoXo1KC2MZRVhXeOJFV451AyqBGrqsQ7x/7+Pnme05iG91fXuFif2Ww2nRNCP7IuSZJO4NMUNVopEI6mrMC6TrSVKk0+m6OUYlMULG9vaXzYu3tv8UZgcYjoJpkmCYlOaGxDXRvW6+J/9e/C/1YwkJDfAYHAeYeIigEfOxJc7EgQtF0XwevZfgvx+G3WnkJsi5jf/N2Wbe+rCWxUOapYIGs7Kuq6Rnbd/T370MjJtURcS3K1g8qHqkVr3T2yte0C6JN7nRLAc+/c2/NVUiHia7QD9VbCfD+jMVybwn2gVN4ew3dFvzYHsruneL4LfSLyQ4WhENviY//x/e6Ze/cS7l1L31b1GwR1RBviC/ff6/7x+te8LcZuzxcCsTmZTJjNZpi222bAgAEDBvzeyPN820Fngy1nm23cZTO3D7bunmK+bULpN7ps5xmFTrYNQK2NdrBxSUjTBOcTrDEhZ8A04IKFaGuFqqQOzTIu5C1KIcmzHCkkq82a9XpNbaIVK9G1QIT85dYqvZtafFgoW4JtqbE2HEtIPMFi1Lsw51rnaKxB+yzYwXpwztM0ZrsG6uU7ehl+H8jDtuPU49w2RyIs/INSMXK7MTMhkINBXQheeLzfZmUItorTJAldmziHcWHT2Nrh1k1o/motbttNWwffa4qyNhCwzoHcWvR9uA770M1hO98HZwwpJdY5irIK1rKitZAPmZRKa7SOljBS4qLqNNyPQEJqnWCtI02DtUt7j4Z5fsCAAQO+H3Q2bDI4cxvjKcuaiRLoNEMnCU1TI6UK9lpKUBQrdncXXFycM5vN8AL2Dw758uUr5vM5k+mUT3/8E7xOudsUSJ0wGs94/vHHXJyf8xd/8Rf8F//Ff8HFxSV/+5u/5/TdO+bTGVdXV1hrOTzc5/nzj5lMJpy/P+Mnn/40WKimf0+a1DTW8PDRIz56/px3797x/KOPMcailY6OBCX7B/uMxiNOT09QjeLBg2Occ7x5/RKtFJPRDNvUyCRDCYGTgjTNEAIa40mS4Gywu7PH9dVNKJRG4vHBwSG31zdcnl9gTMNmvWE2mbL3ZIfT129Y7OxS1w3T8Zg0TWnqhtvlDVJ6dCLxxpKnKd5Y5gcz6rrm9vaW2XyOrBp2d3fJ0pT9vT1UknJ3t6KqC7IsZ5SlHB4esbu/x3K5BA+NNZjGcH15RWMNi8UCqTS3b96h04ymaZjP51xdXbFarZhOpxRFwfn5OU3TUFUVq+UNm9USKTz7Bwd8+uMfhszIYs1sOkVrydPHDzk7PQ1rJOv40S9+xuX1DZcXlyitOTw6YjQe8+bNa548eUJVFbx4+TVpmvDkyROMNSQxM+zm5gbvPJt1SZIoFosd7u7u2N3d5eRkICEHDBgw4PvEvZp0FPL0RT2+a0IK81HTuJAHWdYdyReEjNs9vvMW5+T9fMD459DcJNA6jQSnBx8cCvE9QRFQV3VwI5Cys2j10SEI6JwVIRxrszGd25AQQbWXpilS61BvV5JokBSceNIw7+B95+Qj4qt7H1SgiOAQJERbJ7eYuC8P90jRNDXWqrh/Dc284b4KjNlyBaE5p2a9tl3USlVWSCEYT0Iz03q16lwanXM4PJti3e1zU61QKqhBZWwMTtOULEmi0lBTFTXFZkNRFKSZ7mLOQHd8Rfu+p1kWmn+i+wHQ8R9tXb3vRmiM6bIs28c3TdNFqvVj7ARRiVrXNM5jpIDWobIllK3Hp6HhO1EZWg3uhf8YBhLyO+C8wzQmZBfQFuOC5LZVGTgX8550ci9PCL5pq7olqlobzvsEVt/KrE9ABhWku6feawdIY0zwI/5AQafk9kvZPu5Dcm2rgryfVdgfuD+0brXWgvM4s7Vh7c5ZSWQcYK21NLbuioTigyJfpzhog5nw3zjPtpPBOQcSpLp/T/5tCnUf2qt2UnW3VY9+qIT8BkFIGJTaP7cTVb/o/GFx2ju7nfRaVWfveN8gPHuq2w9JyNZnuyWLBwwYMGDA7488z0l0WKy6uGGQkXwEYvZBaEBSyTZ/oWmabrzuj/9bxb6JuQWmszKVsnVECNmOzsV8CBs6MHFhfBdIRApCx+2DD/OtQMQmJI9tXHzd8O86bkqkUFjrsT5amcQFshCBGPMukIzWOpz3KBnIQOt8+LEWTxNcZbSiMQbT2GBZSrBmcc7QZhoGclV0WYitfUldN/fmve06ojVuaLdGcY71hG5C0Vq+9NdFMjo7tLnZPuRfxo2W8C1h2fVeAfcbkdrHA9Hq1OOFwMb3D8R2nfXB2qg7x968LZQk01l3H8LmLjgsWGuRarsRji1UwTI3ulcEq9jQpdoSs9a6LtO7v/4bMGDAgAH/dHhvKYpgmSk1NLWlMQ5jDRkZWZZS1xWz2Qxra+bzCe/PT3lwdMRkPGK1WpFlKWVZ8OTxI46PjzAefvfFF6yN53a5RHjH7nzBfLHDs4+e86tf/U/8+eUlf/Znf8rVzS2/+tWv8M7z+PFjJpMJFxcX3N7ekWUTirJB64zd3X329va5vLzi1avX7B8c8ujRI377u8+jEqLBunAtVdngvGf/ICgArLGUZcmD40OK9YqTNy958vgjptMFdVWSJjnOenSiEDIFEUhIiaYsNxweHHJ5dsY4zbG1CSRiklIAV2fnrNcrZs9HPDg4ZDGZ8fnvvmB3dw9pHb42uLomUxJjaspqTV1V+OmIpqrZ39lFKMXnn3/F2btTxrMZ+0cPQz5knGvHkwl3qyXWeHwSGrlSnTGbLjg8aLi8umZ3Z4/RaMTrkzdcXV2RJBmf/OATzi+uaJqGxWJOmiSM8pyb21uODg+ZLxYoJTk7e8+bVy9IhGc8yrDOYeqGcZ6zvLlmaW/40Y9+yGw24/TkBCUl1kPd1GRZxpOnT3n58iWLnV2Ojh+wKUpul0umszEPHj7k9Owdp2cnWBuKqOPRmNXqjqqsGGU50+mc9WpJUZRkecJ8Mf3DfikGDBgw4I8IrRqy/UmSpCPAWqLKe0fjgoDHLu+oKgNCYWzYI2qlO6GQ8R4pYlOttBjbICKn1DoD1XUdnQPT9iwwTdjbe+/xUczTiojaJmfvIlEY958ASunQKOU9TW2o6rKzJw35j6F2oNKg9PeAiRapCEjS4BDgnCUU48P+HBf21aE+4RC9+LM21ixck8UY4u/DvrYvsAn7b9udj5SBI1ivt0pDIQSL2KSFa12NLKlOggV+XVGYMly79xjnsQ6EdyRakSYhu3GUpV09wRkfnZUMRdEwjo1PaZp0hOomkpQIQRM/C2m6jTkDOiHPvfgc5zolaN/1sFVLtjWf9t+EEGRRQdupYhtDYw2JTKhNjXeQpzlSKFSM3xvwTQwk5HdA9XykhZBdhUvEYph1oZtdCInXNnTqRZl2v5DVYmvX6RFyW5Tsk5Ut7pF/8VjWGJpIfNpob9YvgPaf4xUdCQZbVUDfYrVfHBRC3fuybtULtqfmiISg8wj7TVtRuN9h8CHhGI4b/k9GKbWXYXB0LqgzWtu2JEk6K9b2tbTS8X78/kScbEcuPiSI6a6/b7fankc/C7J/rzpVSE+5+eHv+/fiw/em/ay1x+jOU26zt9oujQEDBgwY8PujXYjWdY2pGwQwynIg2rH0rEdGOuue11+QtrkKrdVHS5SZhpADZExc1CuEl5SbAts0sbsykIiJSrv5RilFojOSuHlZ3a1xNtiPbDYlgR9UzOZzrDU0dUPThPWBsTXGBKcEZ7aZ0FprvI2xUCLIDqWXCBmsTWI0IkiFFwJjHZuiuNdY1Sdd+yTd1uJEdhlMbTPRt+VDbpug2iyK7Vy5bQIK5GM/k6Eut9awjQ35F41tGI0ysjxD64SqKrCNCe9JVJZ2r98SlXK7NlMyHEsqce/fpZSB//3g89LeT6kVbfaHEAIL4WJs6PQUUsRIiEDQ4hxV3dyzlVdao9MMpKBuGqr4PoampGF5PmDAgAHfB7yH9bokzSSjUU6iG4pNg7U+Fu2Sbi7PRyl5lmKaiqJa8fDhQ25+e4VQQSFwdHDAaJQzns35+uuvKL3i4aMnrJY3TOdzhBA8fvyYn/zkp/zqr/6S2WzGL37xc6qq4vz8Pfs7e/z5n/85v/rVr3j95i3Pnz8ny0a8fP2Wt69f4ZEcHBxwcXHB1dUV870D6jpYvY3yGe9O3vHRx5+ws9hjtQ6OCNZajDNUdUWqBXu7C77+6gXX15esVitm0x2m0ym+DYZU4ISjLBtGqaZcF0wmY+bTBXe3d+zMZ5y8eUtTlgjvyRPNnWm4en/OJK6Dqrslar5AO8f15RllVbJYTBnlGWk65vT0hN/8zV9zsLvD9fU1h0eHzOcLRGwCvry4IB9P0LWhqhukTlBSkcgMHNzd3IGXTGdTDg8fUFWGi/NLfvTjH7G32Of161fMHiyYTabc3tywtzPHNjVPHj9kMv0RJycnXF5c8OXnnzEajRBC8PD4AdnjR6xWS87P38f5OBSnr6+u+fzzL7DWcHd3R57njMdjzi/e8/jJU4xxPH36jBcvXvH06VMWix3evH1FUa5JklDw3mw27O0fcnV5RVM35NkELVNMXfP69WsmkxHz+Zz3Z6csdhZ/2C/FgAEDBvyRQGtNmqYdcZQkSbdX7QtrpFLgDLB16fEENWRw9IsxHtYE9aDYElbt/lOKkAnpncA0DoEj0eFxaZJhqKMYxaEI+36cQKkE0zhMbbt4r37pv1Xd1XVFVdVY5zqLVq2DIEUIibPRUlb4aLvauvO0XELIcQz705BN6Zyhrn1scqXbX8P96LQ+CdfWnPsOiW3do/07gBOGTRVsTyf5CITHuiZYp7scLUOMWVVViEJSYbAuqEWFD/fJmVD3llLEc28bsC1aCmaTCTgXbPSVZjIaoaPAqTE1m/WaqqowzuFjnFw/Oq0lqNvzbsVS1phQB4gis46ojHV5QagFNXUd3IuUYjwZkSQpAkFVlmzWG+qyCfV667CNpcZEnui7nRv/fcVQ5fgO9JWLLWkV5MSxMGdcSF6UksYYrHf3iKcPbTi3SkRIs2j19oHyrgut7b2Gcy68dpR3Q+yiaAdXvqn46ysK+/7VW2WiuEcYwn1SrT3f/jn0STkhZTRxu0/itV0P/QLkhypQL7bPCYW/+9fbnn97nmHQ35KEH5qpfkiE9vGh8rC9LtV/vd5jPiQi23vRt6a9lxn2LechpECKraK1f34f2gT0z/PDY7bHKmIxuGmaLgNzwIABAwb8/ujGfimQiC7LsN8E039cO5+2eYewHbe3JJPCYTCxG7I/l9GuH+IwL6VECsmm3HTzc/t4a8NCvVURmqbBO49O9FYlKCTeB7tT08RjWt9ZwbTNTtYHu1AhI/now1xsW3Wkc0GhGK9DNr53j+LGDBGzEFoCsT03h7U+zlHq3trhwzkQtmuhrTKyXXf4jtRticjwOxdsZ+NaoX0tawxNo0jSFCHobOXbzWW3bvHbxiMfG6ksMSNSCHzQn2LZNhQh7ishu2sQbJvSekuASF+iVFSdxma18EZvCdyw7go/WusuSyKcu6BP8g4YMGDAgN8POlHUVXCwSbRGS0lTh4zItqN9NBqBEKzWdwgxxjY16/UdTbOD0rBcLXn46AlVXSKVYLVe8f78isXRE/LRmMV8yvHxId6HXObnzz/mzZtX/Ppv/5b/9F/8Z/yH/+F/yH/9X//X1GXN1fU1BwcHfPXV11xeXrHZFJyenqKl4mc/+xm3t7f8+td/TZIk3N3ddec4nU4py6ZrbmqzqIsiEJBIj3QN+/u7XF1dsVxes793hLMNd3fL6MDgMD6o7Z20rO7uSHRCuSnZ393j66++ZG8+J5UKlWbgHcvrK5bXN0jrOEVQFiXj0Zivv/icw8MjDo+O+PKLz5mOUryC2pSMs5RHx8c03rBeb7BNsInLs5xHjx9zebPk5OSEB4+esJjvcH51xWa9Is9HSKCpHcvlisYYRqMRSmnW6w2f/+4LFjsLnj//iOvbG/7qL/+SvYN9Dg4OePnyJUVR8Mknn+CsJc9zFosFzjlOT09Jk4Td2QytNPt7B1xdXbK8vWUymbBZr3n98jVplvDpp59SlgWNCQqH09NTsixnva7xwNuTd8xnU8bjCZdXZ0ymY37ww4958eIFdV0ynU5Zr9Y0tWc8GnNweMRyec1mvWa9XsYCqPmDficGDBgw4I8FiQ4Zf0mSdLXtvvCjI8+EIMtylJagFB5FMJjbNtqCR0mJVsFl0At5b3+fJKFxuK0LV1VNVdVMp9PoShTq462oxsVG39a+tW1W7iJU2LoRJtEaPliCKtIkQUhBkui4tw6CHeeDIjE0y3oQFu9DTAnSI5UMJCQChf5GQ3HbnNx3NKQ7R7N1PqRf42/3wmBMgxCgE93ta5MkQSehoctG8Yy1DiVVd3xBIBll+D8kCpzFCtBSgQj1/8K6GCXjwYUaxmQyIcvCGqauairvQtZkLC1IKVFCUFuL6dXzW1K1ra20BLVsXSRNS9S67v1qxT+t82Fbs4BQS2i9nLb3MrhY4UPzc13XtNF5A74dAwn5HTDWIdpikGqzFkO3u4/ZUUIEC1Jr6qAwAJRo6TnffbEFdApAhEcSBkMhREeqeR/yilppdvgi2FggjF0CokfmtUWxXoGss/m027yqtmDaDnofkoahWLgt7LX/Fr5g4XyRIDvfasBJEA4fr08KiZBbe9p2wCe+Rns877cqwXag6gp8hC93W/yVKrym9IJQ0mN7L6MHtvC9v/c8sDtFQ1dgltvHeY/Q2/sukWFgRKCk6vKj+sRn6wndkYS9GmE7cIUuGxmfB0q2E4zvisVSBMs8JYOSolVnfEM568PEUhQFUsoo+2/+LdIwBwwYMGDAvw026w3jPJBeWickvQWqAFQc6qUQjLJRNxa3BcBW+dcuUNuOySTROEvXNBKIpbCwTRINiNhpWGGdDbbvJli9N43FO4F3UFcVdVUHGzWdgAdTNyDBSw8ibpJ86LKUQpEngYxrLdO9DesHpVO8F3hjsM5Q101nJ9outgXb3AxldbdoD1kVEuc9dVXREoSypx4U+NDRCNvf0dqftvAdqdonNkNeRXhEm3G5JSk91jakiUa33Y1a09iGoixYbzZUVRPJ09ABao3Dq617g/AgOmLXBTKzPS0hwIHzPljbEDYRCIH1wTrVsSVVPQTrXq9jvqbB4ZAKpFKkWRqIyp4Vf/vZEFKSptk2uzOubJx3IIL7hpCic7oYMGDAgAG/H6bjCRuxZhSLlALPRgmE8OR56NQfjcc475hP5jx//oxXL76maRqWy1vKqmA2m+K8oylLxtMJL169ZWd3B6Hgyy9/x5NHj9BSkCnPerlkMpvx0Uef8Ju/+zv+4bPP+MlPfsovf/lLfvObv+ff/Jt/w9MnT7i9uQlzfFmyv7fHRx89Z76YkuUZzjvuVndMZjtsVitSrRmPc2azCdY2LJc3NKahqgu890zGE2bzKWWx5OrqiqdPn/D5775is16xmC6wpmE2nVKWJaubdVhDWEOzKSjXGxKtcMaQSsH70xMeHB6y2tzhrUW6BltuuK4KUg+jfMx8PMbVDe9ev2J9t6RYrXi5WrJYTJnOJ6SJYmcxZ10V3C6X2MaQJSmT8RgpBPPZjOVqzcX5e1arNbP5nIdHn/BFXSFiw47Fs1kXXF9do5OE5fKOozxnOp1uc7LyjDJawf385z/niy++4Fe/+hWHh4dkWcbOYkGxKZhOJjx//ozN8o5Ea1arNbe3tzgHy+WKw8NjrPPc3t4wGo05PDxgUxSUxlA3hqvrG26ul4zHU6yxfPKDH7Ja31I1BXerFSpRjCdT6rpGSQ1+jDGOq6sLFrMZi8UCARhTUVWO87PLP/TXYsCAAQP+KKCU7BSQW1EJ9+w0gxpOMR6PQpOph9p68C7WgwPRKBCoNOzvlVSYaGXaNrbigxtRnucxR7mkLiuYTDoHVIkAGxp+TNOA8xhrsMYiPCgh0SKQZq28R8jQNIxocww9Sap7romEmnlszoVQJw78QOAKwIWMxTZf0gcXJWu2Aqe2eamNB4FgId53Hgr3KxyjixbpkXRVFdSkUgrKskBKRZ5mZDG3Ms9zlre3GBNci7SItRNnY4wL0flABTWkTFCEhmNbGxoX9uk+3ispFFmakuch6/n29pa6rkizhCwLdZgsy7DeB6epyEX0uY7uhy3p6r3HW4uQMoS+iBgvYy23t7ckSdJlQ7avWWwcStahNmGC9a6kzRttnSSbXhPygG/DQEJ+BzbrgnEeJLeuDl18WimE82gfw11DCYlcChoTHqN0glKBfArVqJBnmCQpUgqsj18uiPZd2wKXILL2bptN5OO/A/j4qt3j28dEEk9JCVKSqDBISR+sxlKfgm/JtGCB1ioWw3MDEdepJaUkTbJQwMRiMKFzz4finJIaqcKg6GKmVRNzoALJ+cHHS4hgX9spGWTXDYJ3YeBGBoISHwqs3iK8JE1UVxT2sWiKC50erfTcWxMLf22G1LZ4HBg9G7OxIvlofJfx5Frf65i5mao05ja1E1O8hJYsFj5mYAULOykkXkhM9LSTWpNlQQZuvadqLNZ6pNAIEZQPWIE34fFKKRKlu2tzMUUqHAuKsqasQ/anTraWgAMGDBgw4J+OsiyQcf7VWpPEhbggxCkIodCxiSbJcmpjEcKRRUKy7bosioKqatA67Rb4VV2hdWg0sTYoFK111KYmSVKc8xSbCmMapFQYG0hI5y2OCm89dVWz2WyQXqJ1aFBqqhpjLKNJDtIFRZ0MmZBKCpyxJFrghKUqS2xjsDhwOl5PgmsKNqsCqRRNY8LmKG5ghBChccZa8lFOkmRdtoYxBm1t19SklEIKERfiDTISllrGvAXCnN1arHrnwIbGImdMnOfCj49OErY3TzdVs3VjMJb5bEaic2Y7c7wUXF5fsixKyqpBETcWViC0pqnNPQWjxyG9Q2lN6HrtWEi8C41hwsUNIHSksZVtp2l4tJTBaNV5A0JiAWMcGkGaKZTSJEmw9REikq0CVKpBBLtboRKkEiEPo6oD2Zuo7jydGLonBwwYMOD7wJ/+4hf863/9F4zSjKasSFLN48cPeffuFBBMFzssV2uePXuK9ZbxZEY2mrBZ3YZ9vZTMd3ZYlxXHj57wD198wY9+8lPmu3sUpcE2Dq3g4HAf1zQ8fPgYUzd8/eIrnnz8Cb/97DOqpibRCU+fPuXlixc4Z3j+9AkfP3/O5eU5L7/+Gt+UPHn4A07evEAIi7U1rq7Ym825On/PwcE+e/tzGuPYFDWZSGlqQxaLf3mak2rN3d2SpnYcHRzx/vScel6Q6IT3r17z8PiYbDbn/fv3VGWJa2poakzjEd4y0ZKrizNGvuL48IDV3S3nq0smqeHy/IqTzZrHj59xpyVaKuazCdeX5zw4fkBZlazvliRKUAuHTDS310uc8eT5iPW65OL9e9brDdPFguP9fYTSvDl5S6o8VaJwJmQoImC1XDKdzZhMcrz3NE1FVRUkiaasS+qm5uMf/pDr6xsub28QWvHJD39AkiS8fPE1Wmt2ZsG2fjGdcHN5hc5yjNDk0zmffPozbm+uWa1XTEYjfvSTn/Hbv/87Xrx4zY8//RFpNobUU9zeMV/sMZ7sdHWX3/zDbzk8OuT44TOEgPPz94zGu1h7zt3yGq00O7u73N3ecPb+Dc+ff8zBwQF5lnF1dcPqrvlDfy0GDBgw4I8CUrZVX9/FjrX/3uYXCiEYj8eMJxMcsN5sMFUZlIZao5WmLAqcswgylNzW8o0xNE2DM5ZMJ6RaMRuPqIsNadyv+rKk9tHONMa1WRNqyd45qqJAJwl5lpFnGTo2PDdmg5dgvcV4gxcOJ0JmNbVnpHISlSK0JE9y6iY0xmwtUYP7krCWsIcHvAQRqLGgpJRUVXXPbbBVarYN1X2RUl3X95wZ5QdNtX1lZZ4EUtd7T56OyJIcnECrlKa2FFXVIzcd0kbrWhkav5WQSO1wpqGqKsqqxjqDVBKtFcZaNpslaZpydHTEeDahtg3VTY1HUBuHtU0UL8W9tAuxdUaI8HmIIi8BNN5TVdX2eqSksaZrPpZSYnpOkt57EqlijnSNEwIrJF4QYm5al8oo5hLOgbVRrDbs5f8xDCTkd8BYgzFBJxc63z2YMLA4Gyw924Kjdx4VDUq9MTgvQ/YBjiQNobUikmZaaMqq6I7Tt25tJdutL3GnJuyx9v3sqFYO/uFAEcJjY96RlLTi4VZK3Vf1dWx9z9FUxIJh+4PzHbEnPGjVC6sV921c2z9/OGgppQi9BnTdAu3vCdRc/B5/s3NAiNC24r3vzkX48BPYVrp/a2X1rZQ7qEWjP3b4dShMyt59iEVGKeK9ak+hvVdiqzQViHCgeM+CujUMZEQlZ2tZ1zSGuq6DhV7rS46MVmzhtbRSaCUQOipg6b038e9u6KYYMGDAgO8VUmwtuo0xNG2zi3UIa+Mw31qp9HKae7kJQoitkrDXFCSVINEJUimsdTR1dAigtYfx+DynaVQ3FzoR7T+j86gUijwd410bgB4Wu0onsZHIgbcY0YTOS++Rznd244nSjNOcJM1I0ilplqN1Qn1Ys7xbsry742616pQEPnaCWmNAOMqyxDmHbkPc2/m3Z+ci45yoVOhslDGfop+LHOZWgRPR9tYJPBLouQhERemW72ufG+zNnQ0qUdk0qKLCSyirKpC33kdXhmibY1znndB2kHZEaLTbQYQmH9+2dsWc69Cc1OZx065Yeq8V1nZaJOGfrcN7161p2g1asJkPCkehJcQNHkLiEN1rtmuHdh0RGtR+/9zrAQMGDBgAX335FdY0NE1DlmccHh7wi1/8nP/yv/x/U5Y1i8Wc29tbRqMRVzdXfPHFF+wsFigBVd2QpCkySdgZT1Bas5hOOH74iLox7C4m5PmIu7sVpyen/PQnP2V/f49iveHrly/59Kc/42B/l1//7a/5+c9+zvHBEZPxmHcnb7m9veXdyQnjUc7t9RVVVaK1wuMZj8dxfw+7u7torTl/f87HP9whyzRKZ0ynUzabgtVyzWg0Bi+RMkHrDCkUEObvN69f8bNPfwpNw9nJCc44tJRQVQjXMEkTqrJgvbrDG8MoS7m5vqJc3+Jcg2kqlBLs7S/AKZbLS25uLxmPp0wnc+azMWVxx+HhAeeXFZfn79jf36M2FXmWcH1bcfLmDVIpvHVUxYbFYoESkmKz4cHBIVXdcHbyFqzFNjVFWTLKgh2sM579o0Ocd3z51VeoRPPg4UN2dnZw1jNfLEiKhLdvTjhVkiePHnF1ecHV5SWTPIvKjYLd3X1uVxsOD4+R0a1gMpkgleT92SmbsuTJ0+e8PXnLVy9fc3B4SDoakaUpZVmR5SnWWOaLOWe/OWWxM2c2nXF6dopAUdeGNM2YTCZcX91gjGU6n7K+W3F9fUVTGx49fIwxjsvLqz/012LAgAED/mjQ7snbRpHWgjNN0/tWpFqDD9EfC52gEo0XAmci2RizEJ33CLetb/djyYIoJrjsSCHAOZwxWKCxFuNCHd+3CsT4fCUEWZoyGY0RQlCbJroDhbiVRobXVVIiXIh8C86JQRGIjI6MUcDjrMN7G0jYtl4dBVBaBGWlNRYltw6I7X9b29o0TcmyrFONtmiaQAq2tf72PrbkZ0tctvEnbY5kWZYdkdn+e/89wQuEF0gk0kcFohdgfdwyBxGVsSGKTkShk3OO1WrVZT2maXrPAdL7oDaVIX/lXrRN37GwtdbtVKBJFu1ZwZlWMas7V8U+TyKl7FwhcT64SVkbOCChuwidIHoi2NAP+FYMJOR3oPuytpaZELMYo0VYZLjbwa21cQtfMoJyUmvyLCdJkk5t0Fq2wTfJwL5EeJtVJbvntV+eVoXR2oT2uxLCC9y/jvbv/xgJKXtf5K3q0HWDR/8L3M9X/PB+3ScWt7maWutQjBPtsV2nfIjP7l5HInBie6zOBleIDw8J3gcbXBfUk13uVLQz7bKbtlLS7j58qCTdZnaKe//eL6R2nwshAiktggUr/XNlS7D28yM7RUaPNG6vwTkfB8zWXq9VRYZSqrMGEwnNAQMGDBjw+6OfE+y9p24abGPCxsJ5tCcQRkIgLdhI0rULa2itN0w3f/fnkjTNyLIcay2VqmkaE+Y351EyWLpYY6mbhjQR24WxDYRkohNG2RjvPev1Bm8rtNZkeUZjarwJdirWh2xHZwy2bjq7kTzN0KPQaTibTJnM5uR5TpYFC7Ozs1NOTk/ZFAV1VeEI96Aoy5DnYAyFtSi2a4POrjZuYgTglcejQxNObMQh7CcCARgdGqQU0e/ARQtUcH6btdDmceJ9aIQSW7tyhKCxBleWGDzWW+5Wq2gju918ifgeIfvEYX9ed/QXSNv1U1xnSIGM9qzO217jVLsACH9OUh2ag4TvbQKDhayNG0PnLEJ6hFOkus3x7A7cva7sNkuh+W3AgAEDBnw/uF0uGY9zhBBkac5sNgcEz5494uTkLWVZsLOz4M3b1zx6/JjVckl2dMTpyRKlFLv7exzsH1LWDbu7+0wWexSbEqlTlEo4PDzm6PAhX3z2OS9fvCLPRhSbgrKsaZqaX/7yP+DVq9c0dc14POLRwwdMRjmX7y94d/qOH37yCcfHx1xcXrBcLrm+uubZs+c457m4uGB//4jHjx9TG8fp6RnzxQ5JOgJCg87d3R0H+weMx2OQAmNC87BWCYvZgvPTM968eslsMgHnqIuK8WhEKj1lUeJ9gnCGuthQlGuEcNytV5S1Ih+l5NMZTiuqqmJ/vmCzKbi9vWNTLImzPNcXl9wtL8iyhNvrc0yzZjKbMd87ZDXOWd3dsLu3T5JkjCdThIf18o671ZrDo2PGmaZYbboYlM1mw/FshnEWqRRZkuKBu7s7xrdjPvroI5I0pWgcWRZcm/b29lne3vDFF19Q1zW7uzuA5/LqHHywTkNoLs7eMRpPmEwnFMUmqFac4927M2azGfl4wtXyltvVisc7C5RW5KOcq6srxuMxRbFhsTOnqSvWAtI0YTTKWa2WNFXNeDRD7qVcXJxTlSuSqFaRUvB3v/kbHhw/4vj48A/3hRgwYMCAPzK4Xs26JdjyPGc2m3WxI10MGJCkKfPJlHw8wjrH7e0djWkCqYTvyEOp5b26beuKt1qtOnWht7ZrRkZEItIYXGPuWXL6sOnt6ghFWXaNzqZpkLEBNtEapRK0VqEJ2HmsMUGY0rojerDG4FzYf0oZ3QSj4yAqOPOAjxatsqtDAx2H0JKJEIjc1n60JRVha+HaPn80GnWK07oOGZYtUdiSv20GZtus3ZKBSiVb0jDmLntrMVWJ9e6e6KaNc2mPvdls7om02lp7nge3hNo0rIsCnejunNvPRvv3/rGttSi5fayJx2uzPdv3KQaHApAmaYiecQ6lwntgTbCHJ372svEo1GH0VnA24D4GEvI7oKTqEU5BCSlFsDz1SnVS67quSbVGpSlpkuC1pol2ZVmSkOnA1le1oTYNQslOPQjcI/Q+VBMG5cGWAITtYNAfKIB7xJZs7dD8ViocODPRjYd90qz9YnaSaWOwjcFEVr89zy1Jue0m6Odh9c+/nzHZ5SXGwqBzoUC3JSR71xvOHCG2AbCwJYK7C2uJyUgyCi/BiW3xMVrMht+J7s8tQSz6rxOP16or+z8eOrVHa60mIJCfUgTvbdnL0YyDW9uFobUOk0e8NmNNkIXHczcCpAiThFIqfD7aeyGjwhKHsTV1XX7Hp3bAgAEDBvzboN8l147PNlpzqlYRH+cmhwnuBn4bUN825LTdgK2azxgTxnG282Kr1PfRZUCJaHmuPInSEEPN67qhKAoEEiUV0/EEpTR5OqLOy6A+1Jp1uSGJG5xEhsD6uqop/Dp0VNYWU28oNiVK3HJzWzKdzphMJsxmM5CCuqrJdAK5J40h9XVi0EojAdPrFoT7rgYtnL9nqtopGT1Ewk4ilEIlOly/FGCCjYl04K2/twZq1zHee0RvrdLe46quKZqaxtRsqiLapwisDxarSraZDq6XB7HN0nbWdbbt7XFa2/twTIH3wYLHOYfU8dx8UHI6HIq22zSsG1oCEYL1LvgtCenoSNL+NQab2jDn67hOAI/z8t5jBwwYMGDAPx3ehcJakoSsojwbxdyiEXd3wfL88PCQuq6pq4rpdEqWptzc3CCUYjrfoWksxnpm8x0ePHzM6ftzdnbHKJWQyJQ8y3j+/GO+/upr3p+ek2UpD48fcXF+xsXFNf/n/9P/hX/5L/8/fP311zw4PmZ3dw/XGE7evKYoNvyn/+m/4C9+9Recnp7x+edf8s/+g39GVTU0jWNnd5+mcVSN4ebiGi8Ue3sZm80a76Guam4ur8iSjPF8znS+QHoYZWP2Fjv4xvDu7WtW4zH7u7tI51nfbFjd3tBUJdY0jMZjZCQidapRWpNPxwgJSMl4lONXS2os48WYbJKzWRUUm4KqqlGZ5GZ5yeHBPnmuqYoVCIfQCu8ayvUdd1KSZjm7OzuM04SqqtFecPb6Hfl4wvnZe5w3JHnKxfl5ePOEIJ+MuLy6RCUJjx8/ZjQaBdv5NMV5AS44E+zOd0iV5E5r1lqxvluyrjYUxQYlBUoJdncOqKqGt69fMpm2+Zuw2N3hF0dHVCY0i+8eHvL1V19xe3PDOB/hnOPh0TE3t7dID4vpjM1mg0hStJBhnQaUiaYqNoiRZrEwnJfvKYuKf/jsH9jf22cyGXPy7jWz6fQP+ZUYMGDAgD8eiODA46I6TQjPaDRiPJ4wnc5CHqEJpFhRhH2j1jrmMEo8obbeEVc+Wo7GvWRRFBRFgURQpiVFUWCNoa6qsEduRSyEplvpQ6SLF2E/GrpTHcY0bDYbbBNqwo0xiESBEDHazKB1W9/fNs9+m6Dlvqhl63rYEpVBYCQRMR9SyhCDVtd1J5xqVYWwtWhta9dtHiIEFSRs8yHTNCVJko5w7Atw2qbsvgqyv6e11mOlxAiJcB7b1DhjEC42D4tQZPcu+hRZi1BBHNVYg2/Cnju4BDqkiPUFIfBSkDrbEaxZlt1rDG/Pta3Nfyg8EkKQZRmj0Yg8y2iaJuZ2V9u6D+ClIpEpaZIiRCArm8pQFgXe9sRm8lvEUwOAgYT8TrRfmr6QbmvHBUiFleELlqpgS+adC0UxwHqPd56maQDfSZOFknglusEPtkRk69HcfqHbAqDsFTnbHKq2c6H/ZW9fqyX2OgtW17+mQOf1icO+F7T3HuvDudh4Pu3A0w7QtgkEbNv50C/E9lWZ7XW09mS+Z+Pa2a/dpxeDqvAfFT6GwfyeSlFs36tO9dkbUD7MdQwqDXFP2dj+99sGeenpFTNFr9ga1Br9s2+vP7znPZu5eF5dgTXefxknKOcd1sbjqK3yQiUarRXCh8lDyG8qUAcMGDBgwL87pAzB8GFcD//TWqNiYLx0QLuIdm3DynY+UDGcvu3+M8ZQVRVVXYMQZHlDYgxNVVOWdeiWI85vEqSIZBShmUUKhbOByHPGIrVAS81oNCZLMkw+xlrLpihQXqCSUPycTaYIQkfi8uaGuqqpq5qmqoI9SlVTlpes79bkeY7UCteSqVEV6LzDWEtjDN4FFaZSOjQLxfsl2g0VYQ5szz00y+j4OtvGIqLKT2qNSpK4eA/OAba1HfVbpwYhBNL2mnB8uBdegNChg9V4T+Mttalx3qGURkgZmsJil6UQDlMHS/qt+0LMsHbbfUGf6+s2St1ngfB6sWs2uGK01+4wpo7Pb8nocP5NY7r8kUB+RnsZa0HpYOHSZmrKsAZQUpGoQG1aI+j1qA0YMGDAgN8De/t7mKZhf/+AxWLOdDqjLBo+/vhjXr8+4erqmmfPnpGmCRfv37O3t0uWZRweHXN5dc10Nufxk2dcXN9ydXXDzs4h3sIoH5PqLDbxahbzHYSQ/PVf/w2f/vjHPHn8hGKzxlt4+vQ5f/Znv+Qv/+J/xjQNz589CwReWWFibpTWCS9fvGY0mpBlOdNZzji3HB09oPGW4nbJ7t4e1jjW6zV5lgd1n/dc31xjrGNe1EynM8Z5xu7uLlWa8uDoEGVr6mKDrYsQfdLUuKZEmApblhS2RqaaxXyKTDQTOUVnKWVdsmkqkiRlun9AublFjcdM0pxsWqNv79CbDU3VYBrNXVGgkoQsS0iThKurc1brNZuioq5KhExQUvHkySekac5sOuf2Zk1dNSQodo/2cYQM6KaqQEoa03BweMh0PmNVbLi4uGB1d8fB0RHIlKIoQkMXFq1TZvMZozxlMsq4uDhFiAVZlnJ2eoo3np3FLlmqcdag1YRsNCLPc4qyIh2NMGVJUTYcHD/g5vKMyWiE947r6yv29vY4OTmhrmvW6zWz2ZT1ukTEyBbTOHZ3DynLgmJTsre3z9XlJc45ri4v2NmZI4Tn65df/qG/FgMGDBjwR4EPhTRtXbutl7cEUth3hUgNoULOX9M0NHH/CIFEbD17vAv71P7+kF593Lm+as8F0jHW4vtOfs7a1voHawxlbJKVWtEYg1QqbkhdaJjROuxTQwdr1M7EOrePDaxSYp0N9Yroohfq6lEtGYU0UrYOQHTqxj7x1r9v/fo10KkdWyK05QL6KsQPnQT7LoMfkqjd+yVkbAYOsTi+R2K2as6WZPTWItVWNPXhe97yGG0zsdb63vXcc1WM6NvRKqm75nJJIFwnkwkqvjbeY+pm63ilVPxchEKOkALhgmAo1CJCzaAlawd8OwYS8jvQt2OVrZrOB1WcFBKdqO5D7IzB1A11VcdswDAgVWXZSYdtb2Ay1iBix3u/i6CvJuwTeu3fhQghqy1p2HYZtCRkO5gEMrNHj0Uyrj8I9NUHH3YDtK/p3dYqrSUatdbY2naF13YQU0rdO9f+T9M0YbBxUUkptiRjeP3t4BAIOv+Nc7sH/y1/Fts/+/4D+iyyD0SkkN8ckNrz7lcmO+VH7JRpJ5ROTRpVH21EZEuKWm+7QnW4R32iMpyIUipMhgKcCUR1O4i2741SKnRaRGKybAartgEDBgz4PtA1kbTNKkKQjfKwqEcgnMc1McvR3Z8f2/lwNpt1tiObzYYyzvkWT1U3KF1jqjo0ITU2NizJSPo1cY4kKAZkmEhs4zBNCEp3rWoy0zRCsdls2Kw3XSfjKB2xs9gjTTSmqcGCHRu8dVhjYwdnSbEqQk6U99ze3rJer4O1qt42NJV17OqM5KESfYsXj/W+swttN2TtPKazNOY3WKzdNtxorUAr0Jq2+UngEFYAslvMt/dfKAWt1W23wYvHdi5Y4vrY7KU1yJCT4a0P1rkyvG7YHLqeK0RYCHRTfNekFRWSkTgVIqoRobPk8a1Ta29N07obhM2MQIhwnGA9o+L8HxWSUnY2PMi4sXWBzOwIbxEcDzqHhgEDBgwY8Hvj448/4t3JCbu7u7GzX/Dw4SOcM+zu/pr1+g7nLNYZnG04efuW4+MHTGdzrq6XPHrynL2DI1ZFg3UwHk+5vF7irWf3cLdzLXh7ekJV1oDg9OSU5c0NHsv11Q2X55d88vEnfPXF55ydnSGB3dmC6WzKl19+yWI6wzt48eolv/jFn6B1SpbmHB0cUBvLbGeHs/Mr9g52kEpT1zV5lnN3d4fWmnE+QiFCbpSH5fKOWm9YXl2yXt8hnGOSZ9iq5PzqgixNyTQ4J5Cp5uL6CpWl7B0d4qVk53Afg2fkLfb6mrKpmU9nbGzJxocYlPHuHvliF1M33F7fUm7WrO/uEBK8d+wcHVG/e0NzXaBlmPercsPF+/ekKmd37xDbODKlub28IdMpRweHlHVJmiTc3i5RWcLdes04zztbOhHXYJfvL0CNmEyn3K3uuL65YH9/j8Viznq5pNisyLKczWZDXdccHx9TrAouL94zmgQVZFkWPHryGOcFxnnqukGnGbP5guubK6SUXF5eMJ/PSRLN+fl7jo+PODk54ebmGvAsFouYg6VxVlCWDfPZDgLJenXL2elpbID2bIoNzjWkafKH/VIMGDBgwB8JOpe+rpa7dQ3sK/scgUBUadJFd9TGhAxHZ6OjTqwH+NCca10/15Cu4bh1z3ExD1IQ972iF1kWCUjbmO58BCLUxAHtk478RIYsRCslJJDoJJBx3t2rtyudxOZVGTemgZCUMfJE0BWk4+MV4bS2OYlt/aJVDLZcQ1/Z2PINfRVme4/7zoX9121rCa0oqXOYiuceHk8nvME6TFNj6hpFJFukQMjgRqmERKcpzttvxMIFolZ0vET3O3c/h7F1UuoTku09CO+17FSgiVRd3mUar10IgTO2u46WpE3TlMl0EohG59lsSpRSVGVJq0xtSdwB38RAQn4HWvWD1joYe3ofQ2Y9SovuyyuEwBAGtrKuui9HY0wYjIzpSC/ZdhA4ugGs3y3Q911ufa2VUvjel7wl9drHtH7MffKyL9Hucpvi71X0ie5IViGoy6YjHjsCsqf66Hsrt4RnO6j0z7klIvvX1L5GV9Dz0Wq1pwS9T46G0FoIVm6KbYHYOYNwviNHBaEQ2nau9G1n2/PtlJB++zfhg0VPOEZ4vrcWlabgfUiBEkHRKpWCaMMLQR1B9Ap3sZiqtEYlurs+h79HEAsEOt6bRPUGTqVxrgG1VWMqvZ00rbPUdYnUKnZaDsXJAQMGDPg+sFmvyBIdFZAJSZqQZCmZTpEeqqLAxPxiIbZzYJtLMB6PgbAwLctg0QIwnU5xIij9l8slrgnkUlBZKnBQVxXeBGsP6xxJ5hFSUW4KhHNkSQpesL5b0VQNozSjqirKsmKaT9BaU5QVdVHjGovORggtSXVOZUvySUZTNWw2FYnO0IscKSVN06DriiRNgqrROcq62joYQCQcXVAxtpa18bFNbTurVTw0zuIN+KpEdXY2GqmCLY4XkqJuaP7/7P1ZjyVZnt2L/fZkwxl9iojMyKEya+pudpPsJokr4UKAoAc96lHf7gJ600eQoCfhCqIkSJCoFpvNqq6qnIeI8HD342eyYU962NvsHI+qYl2ykiigaCvh8Mjj7jadY7b3/q//WitEqrJEaIMU4LsDQSR71jQUR0SI2eJcg5K43uag9wiZ2PWcWZULmZWXIE3KcAhk23ytxo7VECR1XTGb1bRtS9s2OOuS5Y1OjULO+6ROReYFkESLpOIMcXAwSGN+INnmDIsx5wTGaIqywCgzWtqUZZmuHWnx6qzFGIFE4WNI+8iLUm9Tp2XwHi0VEyZMmDDhj8esPrkVFEXJ1dU1IPjww4/56KOP+PLLzzge90gRqcqCm+sbvv/uO17fvuX9lx/R9x4pCj795KfcP2yoipqfffoz7h4eiD7w+W8+Yz5foLXhx598incO5yy3t6+5v7ulMJo3r9d88ulHfPDhS27ffM+r199zvb7kgw8+5B//4T8QAqxWFzx/3mUz+FQ4LGdzpDKs1pf8/C/+iu1uy8XlJZ9//gWP/hFvHVWhWcxnVOWc0hjawwEpU37iYbtNzTPB0tueZV3h6wrbtRy6BoXAO896vSCq1AhzeXWJKgybzYZiXnN1c832cGB7PDC7uGa1usD1jnq2oGst29e3XL/8mONhj6zuuXt7Cz7yerOl7Vu8tyhpqMoSQs9us2E3W1EWVSJMH48IIfng/ZTHWc1rDvsDy8UC6x22bTFS0x6OECKH/YE337/iX/3rf8M3393y6rtvAXh+/YwYPQ9v7+n7Fh8Cu92OEAKr1ZqqLFkv1hDgze1bhJB41/Htt9/y8oOPMKYgOoeUkovLS6qqoBSe7775mqNM4/lqseT+7R3Pb56x3TwSfUBLRRCe+WyG0T7Z9PU9dV3z7Tdf8fOf/4zHxw2/+tUvKIzKRHj3p7wlJkyYMOHPBloXFEWRbVcDxihAEqPA++SQU5Y1Pgqi77G9pbcWGwKiVYQI3qc5gg8B70OuE4ckGso15aEEa61NCrn8XUo5Ogee5w8qBC4LVCTJ9QYgZrVczPXskdiM/sxJJwt0soveKEoSchQivVtrPycGT06E8VRT9k+tSquqoigKfM60HJwVB5JuOJ+BGxjcEuGkRIwxslgsRh7g3JVxrIGLcxGUHK+ttTa7QGhECEQR8SEQvEdpTVEZZvM5UiU1Zd91OO8JQJldqJTWVHWNECKdQ9+P+x6O5zwr9JxvqaqKGOBwOIw2tQN5OFwX7zztIDgLAR9DUq+e1fy10cxmyanKOouI2R1yWsv/Xkwk5B+AUgqZ7UOVlBAi0sgxI/HcAtVmq9Whk19qhcxqSKQgCCAGIuKJFeiJLDwpL4d9n+cucfYwOJeVn0ukh5tnwKC4g+xRnXc6FAmHvw1n5zOQjzHfrFKJscNkuJnP933+oALGG/1dDOrHxCWOwYx5W09l2nEgC0+X6QmZOZzv+fXyAYR6art6qpSOr4zyy99nvXpuITt0kRAjSqhc7DwjQDNhKPN7JYRMD8oYnxCcWmcLtuF9Imbf8kCUWWkaAXG27/zZ0EaPGZFDR8aECRMmTPjjYa1H5/FZkZ7Xfe5QlAF6a+mcJXpPqdTY7DOM/V3XsdlsUm7AWc6CVIpj12Otx/Z9KlQpTaUFQQoKbUAZnLcU2qB0QSCNHWP+cM4x7tqOvumIszlVVaPnJo0fnmTTbQOPmx3HQzvmF8QI+33D8XCk6+w4timtk5UIkZgkoGMQfMhy/TRsCqTOORXEZL3uc6eoiKN1Su7WAXJzDhEhh7E4XVQnIlGCFxGfRIsEIRBGE1VMBKbIRCKcrEhjJOaGJCFyRiPpOEMmI8lNSAgIJJuaSESF9HsyipNaU6lkeZvnDoNljQx58SbiaY4iSY1jUiQbmJjcLbRRKfDe6LydNB/0ufsVzl0VhibVpJKJ4uQeIUgLlCHXG+KY1ZGyn/v/yp/8CRMmTPhvA199/SUXlxccDgeePXuB96nBOK33Up5PiJ72eEAi0EaxWKzZHzuurp/xyac/4fmL92nanqZNSv+6KmkOR0xhmC9mONvz7OYZi9mc7XbL3du3fPD+S4ie3XbD55//hmOzZb/bc31zTXM4UpYlN1fXfPn5F3z2+ec8f/ECJRXr9Zr5YonWJS9evOT27p7D4chsPuPQHNFa8/z5c7756mv6tuP9Fy8wWhOcpTseCTFibY/ve4xKdmPWGLq+wfUdxmhkNPRdw3a3xZQFl5c3uOjZtw1qv+e9ywv6vuVoW4ROGZHPbp4hipLZbAEzye3rW148f4+f/Pgv2D1u2W421LMlAcX9w1tuHzaorgMEMrv5SCUpK8Vu90hZVhwOB2KQ3Fw/Q0tBd2goyoLnz55xe3vL43bL85tn3N/fI7Wins346OWHHNuG3/z610hdMqtLFosFXdcitcgK0S1Kat577wPu7u/YPO6YzzwXizVN1ySXisLTW0u/ecTHSNv1qKIgxsh8saBtjmglUVKwfdwwn8/puxaAu7e3SAGP2y3EVES11tJ2nsV8zuvXb/DeUpYl+/0BIQQfffQR33zzNZHyaX1nwoQJEyb8F6PItqvnsNay3++Twi0LhsqyxHeeGDzWO/pmWAuDlCY54hCz2CStx4uiGOvl4kxhOZCOiGR3OhCJw8+C99ktT6BVWu8RY5p/5LX+WGf2mWSMDm8dztrUIB0TITd+xYj0gRiSXeko6hGSsizycTiilKkZOB+bc/FJnf28Vn9e23+XfDznJwaOYSBAB2Iy5W2b0Qb1PJ5m2O65lav3MYuBFIXSKU8zeLztRzelgEAXBmMKlsslZVWMTd3H4xE4qV8HMnU4tnPSdHjfh/rM8D2EQJHH+sV8yWKxSBmX2XZ1t9vRZjXnEJNXFIno9kT67HwlUeNnT0RJm4lcma1Zo3uqypxwwkRC/gGMnQeIXOAid95DCH6U554UBBFl0mRdKJm6/V0kyMERNOcJDlLvdzA8CH6nf3HuYDgnCuFkqfouKXfKKBok1wVKqkyangi4UdEYGP8N2XJWKYw6fUxGSXY4EWKDBPr8HIbjOJdtJ8JSjguREHzKmhpJ2DML1KGQ+buuw2AP9w7hmip+v10AHOjOgYAcrvvvIiDPpfwnL+98TkD0Hjc8SPMDRmudtiuGbMhUuAy5sDtchxRgnB5+5Gwx7z3BmKRwjAEhn1rYDipTZMrCEkJg9CTtnjBhwoQfAs719CIkRV5W5cW+xxqTOhj7HudsWozEtDAYxs0hO2G73Y7j5nl3YvDZZjU3pxQ6ddYZqSlNQVABL/tEZCHoe4tzPqn/XEhqPiFwvUVJjUBitKHve46HBu+y00GhaJuWx80j+/2exWIBJLVm13WjO0HXdbS2I/hA7x2BRNylgSsdoxIyKR+lQJzlRnpLskOJiUBM/vRkAjCv4IIAlTKNk3I/ZT8OiywhJWmkD4mQ1ILgBC7/aSQgQjpnESOeTI6eWbcHcuMW2XI9konQNH8IScaZ5gdREEJaoKU5WsRaN/7bOZ8PL45jb3JVyC4NKjskZDucGEF4kWxkJZSmPOVaZ3uWdxu1Qoi5sxVctKn/TAiMllRVRVVVQ+QHwaeFk/PudzZyTZgwYcKE/3zUdc3Fes1isWY+mxN85De/+Yy2a8c1ddM0HPY7LlYXvP7+Ff+L/+3/kt2hw4WIVBofBFIaVqsLtDas12sKU3L7+hXXz57xxRdfcPv6e8oPPyYEjzEapeDF82d89+2XFKVCvAms1wuWy4/59utv+Pbbb3nx7DllWeKs48XzFxhTUFVzyqJCFSW9tSAETdOyvFgTI+x2B9brNd2zlq+/+JLtw4ar5RopJe3xQFlWONvj+47KaAie0hhEWaKFQElonMV5hyWilGTfHlldrLlazLl/fOTGWYzRHPY7mq5juVqhlaI9dnz2T5/RW0+hDG++e03/s7/kpz/5CQLB4+aRTz79MV3f4fqGZtePY2sIAalS3aAwmoeHt9jes1yu6Rcz7u+h9Q5377m+ucFby9XlJUSY1zW9c3hrWS0WEAPH/Z5De8f1zTW73QNE2O131LMZUkqeP3+OdZbOeoqyRkvJdnfk4uICT1rDl3XNw+OGsizR2lDUFdZZZnVFoSR3b77j5fvvcXd3N86vlstlUktoRdc2EEOu7oDWkje3r9nvtphCc3N9xawu2O22rFaJKD0cdjS5kDphwoQJE/44FGVJqVMDcAh+XE8NGEU7mVSKpDUpnNaVKte905ourT8hr+GH3MRwqp2nuK1MElqXmpQzuYUYIjaygGYgwkKqJ59vb1AFxsFhz6c6wDETokOe4ynzMeSaQ2qClSrVpI02hOBHdiERiiLX9u0TIcsw5xni24b6flVVY11+mBud/6wsS4oiEYJN09Bn1eG5whIYr48+I/IGjqEoqjHKrKoKtJQEZ2kPe6xzhEysGm0wRo/kcYyR3X7/W4Kc4ViH4xjI1KIoqKpq/J2maZ6cl7U2OUOppAqdz+f0MjVzHw6HTODmWnzmUqTWzHLgW9e27A+H9H4KQQx5jiMEhUnX4NhNjge/DxMJ+QfgvMNaSZSBKJKOMJBCZ2OIo7Iwxog0GiEFOhffXEgPCO+TrZdQSYkopEgZReGp6u1dKfUTa1XA5xt4eCAMJNm7qsDzbEkpQanB27hASkXf97RtR99bzskuEdPDeCiiDg/FoavAD10Y2aJW8pRkHDA8cIZjGEnGXC981zI2PTBOJOSgkhRBnAIXiQiZycFIuu4DoRhJDyxSLVKeHY/Ir58IQsb/D1lqL6VEKz16SsucWRUHlUXe5yDJjjEisre4yAXYGGPKo8oFxijz4CNO/tnhd7y/g5xfENE6ZAWIyucdCFFAn0Jww3itpq6KCRMmTPghoPKz3/F0YQEglEQVKTNRIVFOjBbqw9g2dPYBozX6brdLVp2ZpDLGIGPOFY4R7wJBBgpjMEVN27RsHh/pnMfabBlCzp3WmtWiSM0nUST7rwgyCoqyTsRl7wgu5T8SILiA8x7bOwqTFgzHpmF3PND2PVII6llNYXSyYXUeZBqvtTGYokjdijl7MXqX5xKpEYchcTkTkYMqskChZWrCGrsp32kigrzgkxFZFkSVlZFE8BBEyoaUUSA0aXwMw99LxJniEEhqyHCaJ6gxeSkF34d47hzRjApDa89cH2JEKpHJzNMxDvMF60/dnL13GO/Q1lGuynG+c95VmhquNEYXSKHyPkBrM84PlVSImMLuzxu5tFJIYXB+IiEnTJgw4YfA1dUVIBPJVBTc3t7TdT2Pj1tWqxV1XbFaLbi+WhE6x2eff8k//uM/AvBwv6Fte5q2x4dIbz37128pdImSkuNhz0cffkCz33Pc7Xn27AZBYLGYsVrOkfKGLz77Jd98+xU/+fRH/MU/S6pBbx2vv3lF0zb8+NNP6duen/zkp5Tffsfh2KK1pzSCvnfc3Dyn6Vr6zqGkoTk2XGRS8MXz5+Ajm4cHFvMFvrcUdUkU0Pcdx/ZA1xxYzWt6BLe3twRv0UqyurxEZXJv17b4raSa1SAiv/71PzFfLonOsnu4RwTPfrOhKGrCfg/WY+ZLnj97j1/8/f+X48MdIXjquiL6lp/++GNse8P/7X/8BiEVLoIkuTEUpuTm5hlt27Pf7XnYvCXGwE//4ueU2nB7e8dms6Gqq2Sx1vc0TcPF9RWRyBeff87+cOCjH33M6mLJ4ZCUhseuY7lcsD8cWK1WaZ2PYlYvUFITQuTYPeIeNiilqIoSHzxaa7aPj6kpyBtKrYjeUpeG6+sronfc3Nzw61//emzqGtQx6/WaxWLBdrtFyojveubziroq2B92CODDDz/icNxxPOz553/zL/jFL37B6zev/qT3xIQJEyb8uaAqauqqwhgzkkxd1xFT5kciiGKktS296xEmZf+NoqJwFnPmT052MUa6TCSl9Xyy8DRK07Utzlnapk0xYTGmdb7zoBMnIOLJwZBsi1pkq09ipHcOlMzxZKmSPRCNXedGEnKoNcjsukc8jzcTT2xGB6HOKZYs5GbYk4pxWLMej0cOhwMAZVlS1/U4xg35h8N+ZrMZVVUxm82eqCaHdfVwzX9X5uQQBZOOyRC8p287+ghyiEGTcjQvHJwoQbA/7lFGjdsI+TqLTDo2bUuXFY7ee8qiYD6fU1UVSiXeoyxL+r5/wrUMzdl3d3fjuQ3v43nmZzqgtE4PJLeri4sLmqZh+7jD9hYXI956iOQIvHTdDjmiZ8JvYyIh/ydgVELKRH75sVshWZwOhJXQueCWC0rBJ2tWVRi0OWUm+hDwMVl6Dp0Q5wGp5x7G5x0I/dm/4aR8fFe5J7LyIHV4nB5MPgScG3KrWvrejvsPIaCEHrebZMXxpDoIp8DaodAmxYmEPPd/Pj+up+cTIPocpThYsGYFaSYhx2JltmY7fw+Gc3wXgz1qPLsOv+t3zq8ZnLysf9f1Hx7gT75CHDsttFRolQYYf+bTPagcICk+h1yndI6nfZZlOXphE9NDLW17sIUby7z4GNDGQJa+91lxMWHChAkT/jgs5nNmdYkjjSHiLAvAKEVwyU5FC4lw0LXd2NE35AvUdQ1A27Z0XZctNT2zao5QKfvA946+7SBEal1SSE1RFVSmJPqIEjJZkTiHVpoiN7lopanLGUR4fHykbVqurq558fwFShZ899133L69hQgmW4W0bZsm6blZxntP13c0XYv1nrquqRfzZMW6j7S+GS1NYyYEhYi4mO1ehEBqTaElOoKNyQg1ZEvXYXwtVYUUeYyVYiTy9LAYy/RgjKmJSYiUpRilIIhIsCJlQsaIlDl7Q8q0IAwx5WgDEEeLGwE471PDjxCjA3s2tE0KwxCB1OxkLU86P4Fx4aPUqTkqZLJzGIeFTBdHyKQUVVpRlsXYnTks1k5B92nuNdjTFKWhmhcIAV3X03chd2KmXFGVO1mF0YQAZlJCTpgwYcIPgg8/fJ8vv/iWi/Wa3a4hRvjoow9ZXywRt5627SiKgovVktfffc+nn/yIrm34+ptv+fBHP6FtO3yIWOvpOkvXtHRdz8X6grcPr7h/eMv1zSUxCKzt2G13yekn9Lx6/S1XVxccmx3fffctqlA0hyOPj48A1FVNXVbctXe0TbJS32631LNZHtdLTFHSZ7vusixpmobN5hEpkqL+Yr6ECK+++45VPadUkmo+I9qettmjpaQ5NmmsiiG7M2jqeoaeLzi2DTWR3XbL49s3XF1f0R0OEDxagOtatvfJoeGnn/yE+nLN1199gykrXn3xG+azOe3mntXFmtDtefPmDd+/+haiZ7/fM6trhA8c7JFZPWOxXNI0B7QuuLq6wBhN2zZ8/vlv+OjTn7FYLLDWsnnYUHUdN8+eIZVK+Y65QGi0pioNplAYs+Drr7/FOkdRGD750Y/orWXz8Eg9W7BYrOhah3M9P//Lf8arV6+wNs3TkoKjoOvaNF+RAucdbdcSg6MwGucsXdfxySc/4he/+AXL5ZKuSwVoYzRFYdhuH2n7nsVyzWq9wvY9s3mFiIHb2zdIJXh83GanBjC6/NPeFBMmTJjwZ4LzKLNBVNI0DV3X0TQN3vvRRhWfaq0hBvrctBtJtWTnHCKCUQYJOJtsQoe1ndY61wcSCTnkSGqRaslK5rzDQTiSFZnee0w+rrJMDUyjq2EMSFJMWmr4lZnkk9kxkLHOHUWyKU01/jMHwUw4mrPxKgmWdCYBTzayw7UaSMOBRBzq9kO25lDnGNbKXdeNJK8+O5ehdt73/ThHmc1mOfuY0aJ2NpuxWCwIAbqm5W1/y/F4TDnMw7nEk+NhIoEDzoVRcTkc39AENMSYnLsHVWX5pN4PjE3j735eYoz0XbLtbY5HSlOM6/bhvOBkXxuyglaP9r5VamS3DifS+/1u3NuE342JhPwDUFImsi3LquVAOOafi/zzKOJJts2pkCVU8jvWRfILds7h+h4fHNF7dDzd9OdE2HDzDx/6pJ5wZ9JwMRbKBpIR3gmkRY2vOecJPvkct22bVZBPiczzm0WIbMuWCcrT1/CQEGNWZn4BEP9JEjLE7GEdU5FRZOXCSRk4bCdtPxUrU200KdZjyns6u6GTSnSwURv+Pp5tN6sqnxznYIdmUPKU+TlYzJ4TvYP6IUn4Q5ZZp2KhVnJUQXpyQTYkxeaQQzWQmYNVr9QKJSTKZHl6CFlVGyCmkq0Qye7Nj2rSwR5P4rzDh0kJOWHChAk/BHShqWZVyiwEBKmoN0xCo3Wpe1FIpEnZhH3f0TTtk/H3ZIUuKcqKmTEsVuuknOg6+q6n7fpk2aIshSmprCOGSNu2OOeJPqn6pE7zgRRYH3H2POy+4Prqmo8+/JC2sby9vU2kZ2/RtidmyxetNWVV0fYdh8OB/fFA23fooqCazyiqKpF3WiJKkwhIKfHZ2tQPeRMASiR1o8yBjs6OduNpbE82B6rQicUknmxRCWiRFkxpvpSbhWSkcx4R/GjpGkSyYh/cH6QSSD/kdYVsSRsRSAjp3RKkLlaRSVQGxwRiIjZJ55EZTaL3hCCeEJADaTiwsDEkVWQMaWw3xjBkaCaCuqQoDNWsoiqrvPiyYy7k0GyGszn/qmS+WLBcz/De4f2Ovk+5UkIkm1uJzF2z6Tjib/dSTZgwYcKE/wJ4L/jJT37Gzc1zLi4D+/2BDz94ybPn18TY46xFCUnXtvzkJz9mOV/x+Vff8d6L51xfXeJsjxKAUoi6wkiJ9w4E2L7j6y+/ZL2+YLfd0zZHlssl89mc//e/+3dcrFd455G64GGzha++5aMPPiDMA/2hpShMUlR4y2ZzT/AeJSWr5YqinqOk4nhsKIuKqi7wIbLf7/E+0HU9s7Jivb7EWctqueb7b77GO8dyMcdZS3Ah2bR5hw2pIGuyA4RQhkDAVDWegLI9+JRzrZU6zS/ali4ESlOyefvAy5cf8Pzqmq7t2T884LuO7a3jy8961hdLbt++pu867u7f4rylXK+R2rDf7xFGs766pG8tN1c3+BDorctjp+f7b77mZz/9C7789muC7elb6JsGoRUPDw9cXV9zdXXFdrvl8XFLc3sYC8OD+uHbb7/h/Zcf4Lzn/v6ey6trVqsVt7dvEELx8ccf8/VXX7HZPPDixXPquqQ5pms0n81ou4YYLNvtnuboGDKbv/rqq6x6fGS9XqOUpG0tzlmkFGglsbYhhhlCpKLvw/19soHdPiKAN2/esF4vszp3woQJEyb8sWj7jhADpihYLBasLy6wfc/3r77n4fERcTiwXq+YzedIaVPuo/dE71EClNaApMuqSCkFwacMQXwgSpJgJoAISYkXQsiNK4pC69TcI4CQ19De52zIXFcOkUKbnL+R3BSN0vTeImRACYUeci0H15/s6KekwmQ7UCUVUohkApRL4kKInMuoEIJcV3AUQYOM4xo8NermmoVSY6yK1hqZY9+6rhv5h/OYt+FnA19hraXv+5GY9N7TNA1CCBaLxdgwtdvtkkKxLFkulywWKw67PW3TcNc0OO/RKnlLRikQSIRK70eIyaQo5WiSSciUAdm27Wiv6r0fCejBkaq3lnm2Zj93bowxYnJMndaKw6FhfzjQti22cElRqw3mPF6HSPQhOyOFVC6IkbKsKUtD2+YmL8KQCzO+LxN+NyYS8g9AIVFnN/lgQSZkVhdG8KSHS5G9mYXzOO+IwTOb11SzGUJK2q7FekeUQBQYlYzDJInw01KNwebepmBaQvrQO+/Tg2hQJcaIzLZpxTuZjCP554eMpEgIJy/mvneELAkfCq2pMyQQXCB6P6oWBk5QIlNRzZ+IsUT0+VGePlyhGP34oBB5URHxeBKBFjn5Wo+GZyF1gsSYFJYKkQN3EzkXUtkxHatWZ50ZOaNSeLSUKJlytCKJlBy6KDLvmSx1pUIKjRICJQRaqvEBE3zAW5tIxTP1pZASEZMntBHJSje4AErgXJ9LtR5PJinztfW5QDt0rwydLYNdqzQKlEDLAml7RC6Yeh/TtRaCotIgVLJzVYapeXLChAkTfhiEaAnRIqVJiwgpQSbyrO8sfdsSfUBLlSzFfMpRavuO6HzKRvBwOBxSR5+QzBYrTGHG8UuIiDYaXRm8khSmpLGO8LhFIbBNT9vaNOFNB0Vw4ZT9MDTAaMVsPkNoxWa75e5uQ9N3SK3xfU97PGK9o6wqXN+xa49Ym5qPXPCooqCoKoIU7LoGLyKxMkgj0VqNTT8Iicv5DgiRrGK0Ioo0QoVOnMbgwZZ++L1R/Z/mAYncDHgiMeYZT55fGFWk+Y3waBmQWhLwhGgpjEYrjQVccGk+I9Ow6GMgkJpxlBDURZEJ20AMHgS4CF13RAqJKQ06N4H1tqMwBdqIPKtIcxbQEFOzj0ASrMcLnzoeVWq6SguvRLR6F7HeU5AVoyKABBcdZVEQrMUFS+dAOUXpS9I0TmVLQI8c3BiUJJLyphO567DB/c7P64QJEyZM+M+DoMQUM4QquXm+Ioo3rC5XHA5btrtHqqKAEFAYgnVsNg883L/h5tlLXj67YFEr+nbL+uKa9foFbdfz8LBFa0lVlNzfv2WxmPPJJx9T13NCjOz2R/7qb/4lF5dXaGV49eoVt29e8fb7bzk8tjy/fsbDq1d89qv/yGI+48XzF9y++Yb1+hotU+xLqQ2lMTS2x7mezUPLbDbD24DrA+vlNaUx9F2g7xzazHjx4Y94fHzg8XBEhkDoexSBvjkiSQ0vo/WZkhRmTkdgu9vQETCLGaHp2D1uiL2nb3v+7m/+NbcP93z33S3KrNk8enpXglDUsxX7wxbve/b7Hc1xRwiW/X5LoRTv37zg4XHD8uICpKBazFg/u6auFzzePdK2PcaUaGlwXYc/7vnsH/8eFwISgfM9m3s4tC2mqnj16jtcSE3eKMVytUZpRVGWHI8Nq+UFV9fP+Pzzz6lnc4wW7Hf3GGOYVYbN29fcPLvhk48/5HNv2T1uWMxnFFoRRGT7uGG1WrJeLqnLmjdvb9nttrl46dBaYW2qpTRNy8PDAwBXV5e0Xcvbt2857gsKU1HNFpS6RkrF5UXF3d0t88Waokzq1gkTJkyY8MdD6oLlas3l1RXz+ZyyqrDOo0xJWc8gRmyA7f5IkIFSF2gFInZ4n4hGow1eRoRKvj0+OEpT4KPLPIBAeOhbiyDFpIXepfWeS9mMNgQCMtW7Q44IkRoRYorp8uB6PxILCiiFQISACh4tVLJDJdL1HUIKlJboUqJNduFDEnxIjosxIiOJ+PQe52xaf4vMdQ7XRwpcDEQ/tBcLQvBpDlCXyTlIJjJWiZNt6zmG/x9UlmOcyZBvyUlxWBTFGFcy/G7XddznppzZrOTnf/FTvlvMuLu7O2Vmikh0AhcgioiWKdokeIWznq7zzGY119fPcc6y223Z7bbsc1akUpqiHGxYLVURWM4XyCCodEnbtrRtcj0olKYsKnRRYqqStmlw3uEIBGfpXXIrTEK03GDsPF3vxvMzOp2rlEDw9CEJ1GJMJDRicjX6fZhIyD8A7xw+KwoBfpdicPySYswbVEolK1YpqauKKKDtW3qb/IgLY1DilFc45AMOQamDRHtUWAgB4uTxfC4r/n32o1Lq0er0vOt/CJR9VyKspYLipJ6MWd0wHKMcQqFI55W6Ck7HOPzduUc1JBl2713qChnOKWdFEbOFmsjWtgzKBEkMjlMqEwzBwOfX/6QyDCSz3DCkdDJ8S9sclCoiPSgI6eGbvbrPcy2HDMxh+5B+p8hhu8Aor8envKhBCRvI24zJSleIVObMlV18TIG1g1ZDyVSELLRKCo/ok10vmbwkEkKk7zsYcihN8Qc/txMmTJgw4Q/DuZ7eamQICJ/stp0PSBTRh2Sh6pPiMQiBt45gU2FOhIhWPdGD7XtCiCn7WSqkVBwPKSug623epqQoSowukVHQW4vrLMLHcdwZbM+d81RVTZltRWxvCT6Nd5vNhru7Ow67hqZNijptTMpvdEmx1zlL07W4nHGplCJEjxBgnaXzlqgk0mjKWY2QKXcp+oBRqbFIa5NyMY1GGp1s0IJHDV2P1hGdz6O0IGo1dlaGoAaDhNwtKkbFI3nMl1IhlUabIjdOeYJyxEwGR5FzOZXCKTd2bCJEzrDOHaJKE0UaN70frN9T91gUIRObpHlCzt0YRuHzedbg5hJEzqjOr3vvieQ5S54vQHrPjyLnhJItdFxIdq15nuKDp2mO6Trk9znGSFlVSXFrFF3f0fcdztnUpCYE07JlwoQJE34YlGVNUVRU9QxtNAHP7e0tzTEVsC7WawbB/H63T8q55Yq+b9ls7jFlzfsvP8B7S9MccEFwbI+8/+I5rl8hZcT2PW3b8ubNLUVZ8fEnP2G1WrM/HAHFJz/+KfP5kkop7GHLmzevqYqC29ff8vzZJatFzZvbe6rKoPaw325Zri4oS4NQKjUYzWu8T82/FxdXRB+YzxbgPF3b4X2grGa8N5tx9/oN27u31IVBS81stca71KzkbE9wLqku64LlrKScV9xvNe1hjzIFoet43N7jXeCwPRBdpKpndL0DHNvdITXORpBas91uOB6PFEWyJrPW8fD2FtcdEVLw6vvvMbM5h+ORx+2Oul6ijKZ3lqqq6Y5JQYH3yfFHCLQpuH7xnKa3aTw2ho9efsDucGB3OFDNZmhdIKTg5uZ5IgCbI7JXLJdLvvnmG7QxXF5eIoD3XjznH/7hP+BszyeffMKHL1/y6tX37Pc7ZrMZzbHjeDyw220xxox2+/P5nBhjUpEazWw2Gy1dnz17RoyRY3NkNqv567/5a16/vqXtOnTTMV+u8D4wn825vLrm9u0rttuH0e1owoQJEyb8cajrmsVySVXXRKBpGtou2axfXl4+sR5VhQGyEEUpYpCJUBSCGHwWGoHSqSYuFMmJDzm6E3nnsF2H67vksKOAmOLWPGktnwx4VGpiVoJSJeGPt1kMJCVKy1zDhhDyelKl+njf96mB2ShMzrPWyuBtbk7OUWgxBLxztE2TCMgsqlFaobXChZSRGYmoLKIaMh0h1d1jdvNDJLvTAe86NfZ5njNYrA5k5fB755mT1toxZ3OIQdnv9xRac32d3Amev3hOb5NyMeTatwtJhVnIFIsjpMI5T9/3eBfQqmBWzxFy4BrEOD4P8XDDfvu+p9Xt6E54TigODpezeobUCm103keqbzh7isEzMpHDQp5i7owxzOdzlJJ431MUOqlfbXKODJNz4X8SEwn5B2CtRWeO75xYGzD8vxyIR3Lun0hFKKkUMQR6nz7MMQREDpZVMYyFsKfFx9QB/661aSCewm05ZTeeexy/6z88yJTfJSEH6fJgN5r2pcbcysEOVpAJ0MFqVets4zrchPG39ntOcI7ZltaNi4rxeDOBKDgRgIJkixplljLnImbSiz4tGqZ9pb+TpAzLQfKYLHEHnjOORK7MBUMi+Ojx8aR2PM+IPA/2PSech//vnUPkB70nnVfMNnYjZ50HGCllGtiiJ/iIDIALCAmKpIg0UqGMIUaJDCFZzXmPHy1iI2SLHuR0206YMGHCD4Gu7alLQwgQ+h4fI03boaVGS4XKdilaG9q+T6TiocW2XepqDCDnguA8+GSfEpzDxUjXdNi+p+9dUgVqjdKK+WyGFhpcoJUttmlTd13XAaemH601VVXnMV+cZTo37PcHuqZP43uMOQC+wBQFNqZ84pCV+EXOuFTRo7VJ9mfeIQtDka1CfQy4ELCuS5bzSuEIqSNSSVRhEDHgbLYcz/MClMrqf4knNWNBymmMed5hslvDeX41pGadILKDq1JoKYk6Ow0M1uNKglZEJ1EiNUEBhJA6DQXJNsfHOGZEnuYBcpwDDPOSMScinrKah/mXyDkcAkYnhSf28u98drz39F2Xcp7zoq1tW1zObVZSjvuxfc8+7KnrmqIo8oJ5jjGax22k61t88CilxyzPCRMmTJjwx+O4O1AUJV1z5PFxwxdffMl7z66p64JCG148f44SKuX4zWas1muE0my2h1SokpLj8UiIimPTc3l1Q1VV1LOasniB9ymX6Pb2loeHDT/92V9wfX3NxcUlSj3w9u4BpRRXVxcc7mfoRcnbN6/GrvwYwdrUhDyfzzkck8OOd543b26RSuO85+L6Jjku5DHfeYvRhq7rKYuSVrY5k0hxeXFJbFp2jw84Aavra2arJdH1fPftN3Qx8OK9l8RCUy8WeFGBCuyUZHv3luOhGQttv/nVr1F1ycuPfkTfpYIvInLY7ygrw2q14tV331BVFV3f0xz2OYdKctwfqeczvHNczObcXF0TQ8y2qd9Rz+f4xhKBY9OgfbLU8wSM0dzdvuXlxx+z2R8w9Yzm2HBxecl8seT2/o6iMGiVrV6FZLVacWwbyrLk5cuX3L694+uvv2Y+n2Ot4/Lyki+//IKHhwfW6zXOJUu5pKTwVFU51lrKsqSoyjHvuSxLQvC8efOa6+trNpukgvTes5jP8cFzd//AX/zlX/KrX33GsWmZzzWmKOid5erqEmUkIQZ2u8c/7U0xYcKECX8mMIVJWYtKcTwe2e12WGuTAn42G8U9w7M8BI+1aZ1XlhVSJuLPWo93HqF1cggiNSdFP8SSJTKsa9tUq42pSdkMhGUIRJ8JvQhCpn0kt74ktgneZwfA5PAThrZT75HOpfiyHCWWxDOpBh58xEWXdptJxKIoKEqD0gpvHX1250uEWxqDhU+RbkIIlDYpYiSvixnFTSlWTEBSJObXz3Mkn0S2nWVvDnxEqkOktetAVDZNsimtqgpjDCEEdrsddV1TVdW4vh5yKYc6/Hkepe3tSGoOcWvee1zfj/mUi8UCYwzeew6HA32fRF992yXisygQIdmqW+eQIkXfRaAuU8PR8Pnpu54+0xAuN2vBiU8wpkCpVKMZrNr90PAtk8PhQEBOmZC/HxOb8QdwnvU0kIznr58rFaXK+ZFZCSBJH76HzYa263DBo5VO1lvOZy/nU/bgcMMNN9R58UsplYqE+YM+HMMwyR8wyqNDJMTU+TD8zfAAOe9aGItvZwTb8GAaCEKRHwhaKqJP8vKT+vG3/+ZdIvT858OrT7o3fBjJznh2XKftp7+LYtA9JBI0qc+zBW7uGkmm3acHZeIw5fg16NNjzOqGcHqQn5OP59d0gMvEbITcKZNyIqWWef9psFARpI8YnXM1hUwWq5FEKlqX7GW1ZjCkxSVyWkSJkJHgHDEmi7YYyD7dgf32gPsdytcJEyZMmPCfj8JoyqLEI+iOR5q2RQhFUAJEIoMKU2C0TgsA0kLGKJ0CzJWhb/pMukVEAN87PA58pFCGYlYgpUKIpJBUQlIYk4qYuuJtd8v95h4lVXotE1VFUVJogw2SQnustHibxlgl1JljQc6H1gplNG3TAMlWRWbiU2qFQiGUTHbfMc9rtMGYgkJKlNK42o1EYh88XoAVOcRdKgR5LBSk/MgokEODVIxIVHZuEAglRwcDIGdE5tTmGLEhYCPYSO7QlCghUxYGIdmyxEjMLgwhZM1lnnOFmO3WPckWNgVY5v3FU1ZkHnvFaDFz3riVQu9j9GghUEqk9ypnaAyWuClbGgghz6UCwbqUDWIMVXYo8L2ly8RkkW3qQwjICM73WK8wIi3UqqpCaYUpNMoocHnOk5MsJ0yYMGHCH4/N5h6kGKM6Fos5P//5z+naA5//+pcgBBfrNc72FIWhbVuqsmI+h9lsztXVFUoqQowcdltunj1nvphxf3fHalkTImwedxRFxV//9T+n6y2PDw+sVwvm8xnHY4vSyVYshsBmu+Hm5obd5g5tDG3Tcjw2dF3H4+Mjd2/fMlusefv2DYv1FbPFCmLEWct+t0NpTXM4Mqtq+i7lPs/rOTEElJbICGVZUTx/jomRuzevOGx3dHtoDw2zsk7knZCYuuZ4PPLm4ZabF1f89T/77/Fty//+f/jfcWxaZlWNNpp6NmOxmONqzc31M4pS85vf/Iq2PSAlfPTJj/jqi89QSmDKgt32kcViie862mPHfLnEKM16tebhccv/9d/+W37y45/QHBqMVpjSMF8smCnN/e1birri1fevkNrQ+0i5WDJfXYDWY5OvQrBarXHe8fCwYblcEkLEu4DRBdXlDKk0Nzc3Y6bjBx98wPPnzzkcDnz//ffMZjVFaXIB01HXFdamcdwYw+FwGHOm9vs9y+WCly9fIoTg+++/w9qey8tLZrMZm+0jr9+8ZfO45+c//0vevHnL4XhkNpvz+PhI73q0VvTO8rjb/6lviwkTJkz4s4Dt7Vjv7vue4/FI27YURTGSS1rr3EATcDZl+WotWV+subhYp/zjzrNrdigjKIsSi8e6iA0ux6Wlv+ttjxagpcRolcgnGGvXSZcS0VIgCcSQotWMUomMPK9xC4gBcBErHLhMeOlUt46B7IYUSFXttK+6qlhdrCly/MvusCfaSMjEaJoz5Ci0M1JxIAoH3uFc3FQURVZqhidfg/ovkbanRp2+70dBk9Y6KwNP8XKDsGrY77DPzWbDdrulZEkMlQABAABJREFU6zp2u93IfaRcSz26Njrn2B93ZyrLFH/z3XffYV13lgUpx9rJYrEYG7wOhwP7wwGdm3vlIK6Skt5aemtpfJ+iV/TQBJyicXwWZ3mfmswHrqYsUyxc0zQc9lu8d0k5m0VTyfFIYK2bSMj/BCYS8g+gLEvqqnxC9r3rfwyMdlyBmDOJkt1Y6B2H45HeuVRsUiop/UTIxNxJ3XhSEOZiF09VeFqd/JlDCL9FVA7HBqRcIf/bxOK5EuDcznX497uqSWIqZGqZCndRSrxLCsDhWIfjH85hIDvPVaNDnmM4O57hp4Ph6kjmPlF25u8+PVSRIl+blGkR8oMvaeXhVOEUp22LrEbwMSs3BxVGOP3eO+TjeYDtcF0HVUkk7yOQ5esBRA7UjZGASPZv+KR6VCp5gSPQQoJLUn8p03sRs2Q7Cp2d5hLpHAXgBy/qTGTmTM8JEyZMmPDHY7Vas1ou8eHkCJDGl2Tlb/se19tEIrmI7y2aNNmdVTV4eHzcnsY8f2rGKZSmMAVFWaJ1keYFAbqmx3pLFAHX9rjejUr/YVIfQurIPB7bsVkmkWcne49Cm3GC7LynaVp8G0dLE6Hk2CAV4WzMl5iyQBclQiebt/lswcX1FXVdEULk0Bx5u3mgtR19DOAdIHEEKDRSCaKSRJsWfW7wMhURxnmJHC1Y8miZ3Qti6rqUIAqNURJIWRXBp/mFKAwyKBwd0Quk0cQu5ut0smkfbFgY8jo4NUiJ3Dd2PqfRWiNz9nQQYly0xhiRWqDUMD/KtrHDPIOU5REH9wsp6UWfVKbGnMZ/nyzhB5uXdHzZEl8kyx9rLb3t6PoO5SUuuHEO4kPAhaHjc8KECRMm/LG4urzi/Zfvc/XsBh88q92c29s3iOhARLRSzBczCBVFUdD1jnI5R6v0bF4ulzx//pzH/RHnLV3XEiK8efuW2fwl64sLlqt1Ug9Kyc3NDa9evSLESF3PmM9nCCG4e/uaN29e8/x6DUR22y0318/QpiBlNEWcS3akVVVQ1SVGGxbzOVFA03W0bcvF5WUq1Jki24d5jscDXdsyn88olOG426J84GK5Yn//QN926KpARkl7aDhsdxRVRX84cgiOx8OWznapeTZE/rv/2f+cf/j//Du++/pblDGYuuK4P3K32bPd7ri8WLFaL/G+Y/O4wZiU99z2Hcv5jKurKx4fHtBS03dHpFAQYLvdcTge+fDDj9jt9lyuL/CdG4ulj7s9Wmk29w/Z9i6wuBBp7Ox7fvbjn3C/feTVmzcslyuqqsI6h9LJJtU6x3w+TyoIa8daSVEU/PjHP36iuEi/02NdT1VVY8N5jJHj8cj9/T0v3n/viUPV8Xhku33kgw8+YDab0bapcfru7o4oBfPFkhgFm80GYwyPdovbOYzR7Pd7vHd4H6jr2Z/uhpgwYcKEPyM0TZPtshPBprMDz0BGVlXKCVRKYfPzPIRA33u8CyipKUyShsQIs3rGfL5gvztgmy7bkDbJqSeE0WVnrIOP9W2QQiNVWpHKrH48ZTGqsb4+IMZcjh4jR8jHl+JFvPM5RkSm7zIp7WJM9qpaa7x3yFyLFmQhVAj0fYcPLkV+yRQz5/L6PImWQlJtQhJTIVBlmWxF3/kaxtKhlhBCGC1XB+JwUDxCIgullGnNm5WJkOrcTdOMROHgMjBwFIMVuvfJIWq/3Z3V6RNXsdvt8MGOoiWlBLPZjNlsxov3XtC2HW/evBmVryJ/Job4mKF5OxBxR4tQ6RhSBI6iKGRqkB6bvRmPfeBKYgw42+F9Gt9Lo1FCJGESkwryD2EiIf8AyrKkrusnJORAEg0T1eHm7JojcrAMzR2XLncXqKwyGIqT2pisyAt5Qpr8oU+Zj4EwFh4FUiV1wcDSn6sXBxLyd9nFDsd7LqMeOhrOuxqUUuDjWIxLvseJIDNao5RGkop2KfMwHfdQXDsnId/Nyxz+f+iAOP+5RGRiMeVManXqJHHOI4hJFBGHfCXGTMUYB8Vg7jhROisdxYm9RIz7HPabFh7JEvecUD4nYwe8q/BMW8z5lUIgIlltATEKEKnI6kPE9h1Ra+Lw0I6gRQorFjCqJH3wKcdKeqQ6FVHV2ecthoAESq3p7aSQmDBhwoQfAinToURqQ527JdsmEYMDAemsJbiAiBIpFBqJKRQqCPquxwhBjIIQIfiAzQ4EhdEIHyGAkz41sviI7T2+d7THhu6QAtLPbUQeN48IqVAy2Z9rpdHGpHFYyjQp3+8pdYHzjq7v6fqeQAQl0WWRXQVSUXC0gJcp7F5n9Z2sSpQxtM6yMJqr5ze8eO89YgjcbR6wWiD2O9q+I2iZcxolRmnAYABcILhUVIvBZxI3LX5STnLICpTBfeZMDamG8PrUsdk3LW1zJASB1goFabz0DoVIBF+MiKgI3iO8JAZP9CGRn0LkJqGYSUXFuVvDOHfLNugxz4uGMX7IuBgw/p065X2ffwUfEEbkhZ9ITUohLRgHa/lTHrVEaE0EetuxP+xTDoiAY5dyLAYLHuDJcUyYMGHChP9yXF9fUVcVhdFYl9bkv/zFL/j0k4/58IMP+PxXv+S43/PhBx8wmy95c/uWup6x2e7Z7fY451guF9zePRBCSIUzrVFasl5fMJ/PEgkVRbYamzGfz/nsN7/h5cuXfPzJmu+++46vvvic5XKOEGSSqqCqCuazOan4KXLNIZGLzfFI10NZzyjLku3mkaZpuL6+ZjabEX3KgiqLksN+j3cOjSRYh1EG1x2xbc9qvgRv05rZebRMjgm3b95y/emnzKqCYl5xe3/L//mz3yBD4H/zv/pf87d/+68xQvPZF59z+/oNl1fP2O+2fPXVl/z4x59SVyXL1YKHzVseHrbM5zOuri/Zbx/xuTm7LEuUTHbxq+WapmlZry741//63/CP/+E/cH93Bz7y+LCh1ob1cs23X32FKgtqXeBiQCtFVVa0TUvTtiyXS169fkOM4H3g4uKC/WHPfn+gntUIKRMRKQX+NuV/DkRkmgdoLi8viTHy+LhBaZkJxYbdbgtkOznvePnhB2w2G5qmyfUCweGw55tvvuHq6opvvvmaV69eUZQF1zc3XF4+Y7c/0HUdSmk+/vhDPvvsM55/+BHW9mw2D9R1PRUoJ0yYMOEHgvOO4/GIMWZsLjXG0Pf92HgyZB0mQi0p47q243hs2O+PWb3nEEKyWCySyr537OIW57LLDUMkmYQzm04fT/VtlejHE1cQUnayzo258YyBTGtHUgRI5gqkUkQRRrIzhIB3SeIis6NP27rRFlbKdP4nQjGOroLeRmJ0KJVq+l3bYXs71ruHhte0ps31aaWe1M2H7y5bup6TiYNiUWtNWZZjM8/Q/DsQlU1zsnf3mYcY1uVlWVIUBcfjMV0/pdL8JvMRTX08s0sVY+2+ae1Z7Fw6ttVqldwnvaPt0hg+KCRFtle11hKcH3qXEWekaowx1+IlIROhUsqR7BVC8Ph4yK+nY/deIeUpasb7p86VE343JhLyD2Bg42OMTzrhziXMYyd9OL2WbM402ujRwtNZO968NvaI4Anh9CGVKpNjUmRy0iOVxJgikZZCj/sfwlaH4NXfpXiM8USonSv9zm/8wY/Ze48IYexeSDecTvLyXDjtXI+3Fu88PtuTxfzQPVcaDL7IwEiWaq0JglS8HB5sIdnGjlmaUo43uPceI03ahzzlQw1dC8ElXQUBlNIYZdBG54edH72/B3k4nBSsp4enPF3nvO9w9mA8J1WHIuVwLbWQSemKyPlV+WcyF1gzKSurCqGSja2IES1l+i5k6lLxPhVwQ8B3JzVElEOhMykjpJJoKamrGVL1/1U+6xMmTJjw3xq+//Y7Hu/eUi+W1PNZavJxLlmuWIftemzX461DRsV8tsBoje89nW1zFmTKPYwxcji2OY+gRZIm00JJIoM1qcZ78NajhEKg8NYihjEjSrTUeB+xzqbuPaGxbU8fO7wPY1dh0J7e2mTV7j3OO4RWuBhQxqBLk8aSNDsGpZHZRhyl0UVJ0JLe25R/UJTU6zVVWbG4uWZ2dcm3333H2/s7jl1LZy1RaoQ2lFWJUYbohrxrT9s0SXUZI33XJ6t0KXDR5c7PmDMnJForhE4Ljaoo6bsW6xyhFaAlpqwIwaFCQSEktu+RccjaCEidHAai9yghcH2Hs31yIhjH69TROtjgCiTOBkxZ5txHgVKGGAXO2dGmNYSQ3CRiJjZ9sroVUqDEKZS+rAqkUgQBnU0L3d5ZkAJdmPy+gy4MujB4PF3fJbscPJ1rs9oyJJJZK0L0CCUp5GS7PmHChAk/BF69+h6lBbv9LjV+Bsf7779PWRoWsxsO23sO20ceHh7wQeQxweOcZ30x582bNyxWFzRtw9vbN/z4xz/m8vom5QIVJdVswbx3bB+PXF9fstlsqKqKxWLBZrNh9+//nqZtKQtDNbvk17/4R7SUrC8ueHZzzXq15NW337Hf7/nyyy+RymBtjykMN8+eU5Ul1jnKouDDl0mBt5jNcL0DH2i6AzGErESoafYHoj3ZkWul0no3pHzpGCOFKQgh5SoV9ZyqqjGzinq+4O33r/g//B//T7hjy6Is+Rd/8y/47MvP+ew3v2L17DnqIPn7f/h7fv7Tn/Li+TP2/7hndbHmow8/4O3bW2xW8/sALkJA0lvPdn/gYbfjX/zd37Hf7zkeG9q2p29ammODKgK6WvLixXtstjtMPcNUFcoUlGWFjZGvvvyKy5tnrJZr2r7jsD9SFCXEVLdo257ZfM5+f0RISVFU3Nw8R4ikTnz+/DkxBrbbLbPZDK0Vh+M+ZX6GpLxompQp+eL5C37xi1+MDdUxRorCUNc1u92Oh4d7ZFa+rtYrslUTZWEQmax8+/bIT376Cb/8xS/56KOPgIAxitms+pPeExMmTJjw5wKtUr19aBbRWo+EWHq2h1EVF0MgOAguEgP0reXxYYspCkSUFLpEK4NRKRcy5Di0GCMueHAhCYOUGAVFTxAjqR830PcWQVo3BgIuxmRolAk2JTV971BCY6RGKINQyZ7VGA0hOQRZ30FIjbhdiElxFyNt2yJkihbp+z5FmogTUZfq6GokM0/KQTUKmwZibhjnjDG/JWo6r4UP17csS+bz+agMPOdLBuJ3sMA9j4Izud5+3tRbluWolhxsWYdtzWaz0XZ1sUiuEm3bjhxMCIGyLJPbxP09++OBkM+/ns2Sg2NugHZnFrKn2r9Hntn1FsakeB3EqPJcL5aJtO46nIOuUzhnkSIipSHGdHzeBVxv6brEz0yuRr8fEwn5BzA8tM59kc8/UKcO+3HuOcqpB6n22FHAORkI3oUnSsZzkvBcoTgQoUIW4/4GQjRJyfvxWM6/K3l6e887EgZi7Xw/p8M+PRBSVlIq+AUfs9IhdTamPKYw7u/8YfWuAnJ47bymFsMZcZokn/hR7pxIPRnVaLhGBBEFMoqRfIQc+ptJQE9SmiTy8Mwu1sUc8Ds6toEST47z3Ne6KIonqtF3uxVPJOYgvjg7sTBkUUaiP3WYnCstzwnac4WGj/nzEJKN3pBTabINr5SCqqgQsnj3YzphwoQJE/5LEOIYOu+tS0rG3uJ9GpfG/AAhMdJghEYjkTEp+QdCLYRAZ10mKxNxSHCoKBBRJDtPkbOJg8dozbyaoYXmsNvnQprJQe9mVBRCshLv+0Q8DmH3MmdChhByg47PcwwyMRax3iGFJo+ahOCQUoNWqLIAk35PCEUXHI/Nns1xz0KCD4HeOVCKoqoIUhClxHmP0CqrDlNeo9IaokI4mwu8Hi8iIfnBEMSQdBjxed7gfWrKiYBQEm0M2hikTouuNIdSCKmIMlncS1MQVer0lERETCQkISC8B+eIMj4xax2sX2OMRB+QUuCdH36ULOdVWohJTepu5cyChaFB7Km9ihAi2bjEgPAuEY5SIHTqgRWZZGUgMp8cT8BHj46JFJZKjSTnMJ984tUzYcKECRP+ixGCw1nLYrFClwbnLRKoK43PzURG61TAVAeKsk5ZkJdXKSvZOe7u7ri4uuLy6gJjNFVdsl6v+adf/YpPP/1xyhwqCyKROucsHo9Hbt/csl6vub6+pjAKheWTT37Em1evaff7pIQIkWfPnvPLX/06qSPrGc57ysLgnaVtGpq2RZuS9WpFURb0XZ+yEbNKUImkgHzYbCiVpqpn+E7g2w5ZlkQleDweksV7TMVBS2p2ou85HPZcv3yfn/zkhm7f8HZzwDnPV2++YbN5YDaf0fY93lukErRdw3/85T/y/asVh+ZAiJ6qKjkeDiyXK3a7LVYrvI0IqVisVrRdTwQ+/+ILPv7kRyzmCwqpOT7uiJ2lb3uCD1xeXCKEopwvqBcLDl1L8IHZfEE5n9G3HU3fM18uabojj4+PFGXJbDajadsxl5mQmqaHIudisQDg6uqa+XxO27Z0fct8MWO73RJCOoflcjkWQwcyeTZLv2Ntz4sXz1FK8fnnn+GcRSnFq1ff87d/93fc3T+kAqgSFDpFxXjb8s//5i/5p1/9irqecTzssXZSSUyYMGHCD4HBgWiobw8E20A8DrV8ISImr9mTi18AHF3X07WWvrdZvZjEPl3X4p0lxqRKRIqxBi1lEpTIONS4k2uOlBpIdfLUeAuCgJZ57ZzL3SIvVlOjsEQqlZWFnt71KGFSqTuv9fuQrNcLU6CNBkEiKHtLiH4kRFMtOdUthJRIEdEmnXObxUsCiJl3KIsixYpk3qHIrlDnNXLnHIfDAWDkJqqqYjabjdzIIN4ZSM3BwrUsy5GElFKOTdtjDcN72rYdRUPD/w/vY1VVI/l5XjtfLBZnxGrMf9eAgIurK5aLRWoWur9Poq0QEVJQlOUoDFNGE2wclZaLxYJCJzVtczhSFMWZClNloVQifb2zoyJy4HB8PLlDeh+I01L+92IiIf8AvPc4ccpKPCelhi6DgSyS6kQyDR9UOBGAuRJ2ViCLT4ipYTvnN+rwmhBDFuKpy/88S3LAuUT6XJ14fuO+K5EeJNmGp/mSIZOPzlpiSN7UIsbR4g1/IkrPlZjn2ZnnUEKe1AUxjh7UgyLBh0DwPUOukhH6yfGcCEmRE3wZLc9Czo2I2So2hqGQR1ZtkmzpYsp0EjJZnA7XanjIDu/578L5tRVCjMcdeFqcHEaXoQNikKmfd4GcqyqVUuislvHZOk7lgWhQZ44PWSRayd9xdBMmTJgw4T8XdVVSVxXamDEnwPYWYuoyTPYmw3jr8NKiNdmlQAIKZy3dsWV/POJyt15R1pRa4Z2jsxYbPEqnAPuyLhORJgRKSGb1HKMKlEo2YVqb7EqQipMhRJrjMTXvhIgUksKA9Sn0PRBRgJCgioIgSZmQMaYFDmnCXBQlZHJM1yW6rkBE+r5j37W8unuL05JZPSOGwGG7pek6QgxIrSmIYC1SKXyIxODSnCbthkCkc5bgfToPme3Qbcqo9MGPcwARAlKZlHcRAgFweU5SmaHRRiBlVjEqnRZqIY3jiepLJGR0ybIVm0i/YXEXQxgJSELMWdYCL0MmIM8sWrVEqDh2i8aQr50QY453Ohc7Fid7G7NFLYjBSl5lC1ghiOeNR1IQfBySMdM5x9TNmvKmA4Rk4R9joJu6JydMmDDhB8Gzm2esliuqWZ0646PHdg1VaWh8h1KScl7Tdj0SwayeUVUVl1fJGu3i+pqiSvEs81mNc5a+61ivl2x3B3RuFu2tZbvdUpoCKSXz2Zx20VCVJcvFguVijpGOOyKf/fo3lEpTlhUxwHK5YrVcUxQlIfhcQO0pipLd7sD68pL1xRW9swQfCM6jRLIJU2WJkRKnHG3bZxV+ypcMgNEFu90+WYoZTddFiqJgfbHi6Bxt07JYL9nv9rx9e8/VzXN2txsqqVjN5nz15ee8vXuLDZ5itaAoNMvlnIeHB+7v30KIrJZLvv76a47HA8+fP2e1WrPf7jFlycXqAl2VvH79PTZ4Wmf59a9/w/Oray5Wa5ampFaax7sHXn//mvVqlRwLQqRrWy4vLtm1Hd46BJKus1mJohAxrcGLohiLzbpIRURTpLnUoLqo65q2PTKfJwVk0zTjOv36+prDYU/THEeHq6ExeXCOquuax8cN223KAV+v17x9e4sQgvliwa9//St22z1XV5dEAl3boo1iv1O8fP893nt2xRdffo3rLVU9/9PeFBMmTJjwZ4JB+DMo+qSU2ZWoH2vlqfYa0NmxJ5FrnuAjgj6/5hClzEq7ZPGaXAcTCZnWukMtOOc+ngltkuhGDCX/VHsWEmSONMtNuZG07lMxJBWeMUg1kHPJwacsK4gB71OdIYTwJJsQGIU8kN0Iw6mOndqkc0Zh5h9U5gMGLkKdcQ0j6TebjVay3vsx93HgHUbe4ywfcqilD79z7j44EHmQREznKsfzWnlVJXeAQUk55EPO52msTNu2o8vh9cUl1iabXO/TNqIAn+voznu2ux2bx0dEhLIokiqz1tiuT+rNrHQdRF3H45FOKvquO+VJCjGSqsM8ImbC19kOKQVaSZRMkXDOepQKCCExZy3RE55iIiH/ABJxd1KxDTfeQOidqxijhEES+dQW9XRTSlIBTSiRu+tPRGT6oEsG5zQI2Vc4PZAQlhBOasbhhhhwTpLBybt5IEQHEuz8eIYHsxAC/Y79V/qdLEHPJGTywmbMORLit5V9cFIRnF+jgbgTMRdIYfSeJhOPzrv8cBT44JEM1yWfIxIhUl7muUrShUDgaR4lPM3CJEAUp+Py3qNyp8zwsByu0bvXFMANys/c8YAAGUEFeVI7DOcvICo1ZkSJmK6dIGdlASqfe2HyIklkZUd+uJYmdaYM1rtN32DbDhumtooJEyZM+CFQlxVVWYJUgxA/FRCReOvwwiJiRCGYVTV1VhwYZShUgdKCxkV877Bth1SGMjeQlEoSlcEoQ+c9IS9OUu6vpG16Wt9TVzUXFxf0fUcYAuKlHrsCnfVYPUyGFUNcoHN2XABFKUEmctQFl3KktU62pZkok8YkFxgEVVFSrVaUWhLbI0JrRFGwbRoemwbX9RS5MUkKjZApt0K4QFnWeJesxBnWRNlGNEpBiCJlKohka+dFWmz53BUaY4SYbM+00pSmRCox5k+nc0t2N2lupFA6ZUIHMTQTpbkECLxzaXGnBGQb+hiGpWLC+dxgcHr4rflJViAm54oc0gEordBaJatZke3rpcwODeAFo3uB0Hk+IAUu+tMheBL5SMix1WHskoUUcB8B63ucc7S9+6/waZ8wYcKE//bgnMXanvcu3qcsS7766gu22w0XFwuOh8ekjjAGZx1SpuJfXc1BdiitWa1WVPWcruswRUFV1/S2Y71eJ/Vd07JYLrm+uuFw2LNYLqiLkqosub664nGz4bDfU5eGi+sF//7vv2G3f+Tjn/8zrq5uaJuG9fqS9foCow27w5ZqVnNxsaaqKrrOMqtr6rricHfg4XBgVs3RUqGERPhIcB7vHLP5nOAcLgSEUska3Aeunt3wuLnn0OwRStHZnvb+juWLG+rVEoqC2WLJs6qm2e6pZzP+8Re/ZFEa1qs1Ugm+ff0t//SrX2KqMtcXJE3TUFcVh2bPb37za6qyGgnBZy/eo9k3FPM5x77lxXvvYUOgaRvubt+yLGtqZTBSMi9KWqmo1hd0bUfvAvV8hVCGpk052MIY1loheouUmrbpuLq6ZtccsdYzmy1Q+kjTdLnukeZizjZ4l7KzyrLkcDjgnOPi4oKiNHz33bd4n+Ykfd/Ttu04PyjrpMK4u7tjsVhgjOH+/m6Ms3nvvffYbres1iuUkmkeSORw3NM0e6QSHA9Hvvz81yzmC0BwPLR0Tfenvi0mTJgw4c8CQ713iCmTUj7JIZRSZtLLo5RARInQIIIghuRYJJFEPNEFDtsdiMhht6Pru1GJF0MmI3NRd6hlD/ViKZPgJhIRSqCkzjVjkVwMY2rKHWrvQUS0To3QAIemRSuVGqHK1LDsnUv1Yx/GurkAgvM4aSkKg8lRLCLzDIMiUXgoqhTxMhCCTxx9zixWB8JtOLYnjkD55wNBOEbRZcJvICvPG3iGn587SBZFMcayDdshn9PQ8GOtTZnMeVvyrJ4/EJcDrwGM5PIQfyO0JhJ5eHjgzZs3NMcjy8UiNZLNZhTG0Gk98iSoRDoPFq/EFKGncoZn13Ucw4knkLI4Re/lxmPEuTumGK1w1cnUasI7mEjIP4DgA0GlKtI5mQdP7bpi7mQfbTyHDZyRkDEEfDwVwZIq+1QAy3/wW2rFtM1Eynl/2t95pwG8YwvKqej2btcCMH4ftnH+0Dk79HG7cTiuOBTmBIOS85z8HI7nXJ15vsFRlZCPYSgyEsk2c3FUJ6QqI+P5j0SkSOTt4KUWs6oyxqQ+GMjR4f16eiy5OyVEgkjqkeHBdlKcPj2f8S/fIXlT181JyZm+5wIoEMlZkO+oS4frfU5QD9lTg7xfqVTwfKJg9QEX7URCTpgwYcIPhqSKd65PNitCUJU1IkpsFFil8EojBFxdXlKoAm8duEDIVhsp71dRlzXGFCmX0Tl8DGhtqKsaHQK987gItuuRQuF6S3ARo1JXns2OC8OCaegctL3L47F4MvanCbzFEwlkN3DvUVohiwJpNEJLTFFQ1hVeGDpvcSIijcZUJRjFqi5YXV2yurxAKknbddi248Xyghgix6bhcb9ju9sRmma0qmFoEArJZlVqgwmJoBOkbsQhE3sc58hNOhH6vqc0xdgBOa/nhKXnsNsSvEcrPZK2KU8DyM1GgUTkQcQGj48p9wKV9xFOudBwNu/Ki4qIyFctz4NIzULnNqjDQqIoCoqyQEqBzdc+xJBtcbPdjdEorRFhsPlxuXN12H/MVq953iRP8yqp5NipOswJhoXZhAkTJkz44zB01O92W3Y7ePPmNYvlnLIoeNxYymyBVpUVVT2jqmas12uaN68JIdA0DReX1xw2m0RMlQXHtuXhIf3/sW159jxlN5ZVyXK5IDqPkkPsSSpq7bYbXn//Bd9++y3vvfcen376KZcXl+x3O4w2Y96zlJLgA0WRXru8vMIYQ9t2yWYuF8a8SCSkEWkdnYqkKfcI7/KYJkEEkCLNT2RSAPa2Rxaaa1OgpSIqQ99bHh53bN7eobTh5Qcfsr295f7ujvdfvuDDDz/kN99/gykKLi4uuLm64ptvvsH2Pf/hH/49m80jP/3pDcak4/67v/tXbB/3eB8p2yPLixVCSb75+mvatuX2zS397sCyrBAuEJ2nazvm8yVd39Ecj9SrFRIIwTMvFyghuby8JAhB21sOxyNlVYAQPD4+cjwekXnu1HbdGIUjhMAHx7ycJbVD1zGfz1nMF5Rlyf39PSF4hEiF0iEb0pRJxbHf79lut8znszGjapgjrNdrirLguN8zq2uInugdpVGUpUEJz/EYicHy+vUtdbVg1+z/lLfEhAkTJvzZwPtAkKfsRqUUs9kM4AlxJaQcXf1Ss4zBuyRuSWvDZO3ZdT3WtTTNAWu75FyjFAJJzOOEFHIkIKU41ZCzkU5SGWpNFCJFpojUBOzJjkBECAGTXXd8XvspKTKxl/IgnbV459NxSzkKkGIMYEVWf4IPfnT5Y1z/Du5JiQzt+2RLqpTM7k9pOy5H0Hjv6TKRC6d1sMgNuOecwdCskyxkw9jIM5CRw3r2XOzjnMvXX4xj6LnQ65wjGLDdbkeV5vByjJFNno8Na24hBJJIWZb4EJLVPGCKgno2Yz6fJ1XmmAUZntTlh2i2RBQw1idijMQc45KicjogEoIneJv5AAEh4N25C6XAx8l2/fdhIiH/ABLxd7LbHAJcz8m64QNqw6loJIRAZZJttO4c3TojMaaFAnIguwbSbyAZIRXbBsLrqQ/y7yLHBpxu4JNN6rsBsOPfxiTXVnkBMxTX8hGPxGUcyNCRIJW5APj0OrxLZD45rkwy/taxZ1s0MpkoIpyJSvNXHC1slVDJ6izL3Idjy/0fwKDQHIq4PjcpRGRMHSIEQJ6uR7K8O4X1nt6n07HKnKwlOVN1Dtczc7MnZajAhafX+vx9OL9O43ctR/u2wQ5uKEYGnwcWocb3ZsKECRMm/HEIRFwIOJcUakqpNEbE84agmG1BJSHGlD3R9cgIeLC9xXlHWSS7Nus9tumo1ytiiFjrcN4BkkIZlFG43uF7R/ZmSYSVHxY2p66/8247pRXkTEPnLNY7fAhZ/JfGpxACVVGhyiLnOArKWc366gq04dB1tM6i65IgwUePKAsun93w4Y8+pihKmq4l9JYPrp7hesub2zeE776l6VqAscOR0fY8zw1iIiCHxr/oU9g7PuU1j4tAyI07J8cIiRxty2NMtqRSyKTkzOO5EBHhSZmRuQMoEHHekaxyRLajya4FZ+9zcpkQp2ubtY7DosqHlMes1LCQHC0pkhJTJstWnzsx08LQowVj1+vwX2/7cRGWGtfSZ8fn6yFlmiPE7GwhlU65oTFCEGMG94QJEyZM+OMxny14dv2MelHjvWc+m1GVRbI9D5F6tsDbnvVyxfXzlyyWa1arFd9+/wqdrbS1NmhlsM5TlSVFUaJ0SVEuuH/YAIK26zk2DYUpqMsCgaDv+2QzVpS8ef0d3377BYvZgr/9l/+Kq5trggt0fc/2cUvb9zw8PrBYzoki8JvPfsNq/ZIX73/Aqr7g0LQcm4b5bM5ud8BLgZIq2blpnZSRpmC32XHYPmKtpVSK+XzGV198xv3tK467bVJq1hWBSFlXaFNQL5fEsiDEB7ZKsO9birrg4uaCxbzAFIa+a1jMFqyvLzkeD/zyn/4jTXPkb/76b/jlL/6R65tLyqri9u4tL56/4OHhgeAlTddT1DPa3vOzv/iUi8srvvr8c4J1HI5HCiSlSOcQVXIMWq5WFPWM3juMqlmt17TW8fXXX/M3//Jvkdrw9v4eGyxGm2x7l8ZR6z2H44Hm8ZGyqsZ4k7briDFQVSVNc+Sf/ulX6QMiElkbgqcokv3boMY4HPaAwHtH13U417Narei6NudKNlRVxX6/Y7VesX18oDYVCMHd3QNVWbBeLSnWJYfDno8/+pDbN3dIOTUUT5gwYcIPgZitaVLDayKl6qpKa+W+ozk2QERpRdf1aKVRqhj/1vukcJRSIJTERU/bd/TW4r1FxGxrSupXlrl2LgWoscH1vOafY9a0TmRVFpsIASKkxqAhtoOYiNJk6zrYuaa1pncukaDWZ6dEAd4nMizzDDETgM7a5MBD4iukSI2vWmsW8wUhRI6HZC87y4rAcxIvhoDte3AOl50ShzzEIluZDnXywTFgsGodttN1Hbbv8WfqykEUdC7kGlSFw1q561KD1aC0PG/ycd6DAC0NZVmMatO2a9K5h4CSMJ/PmS8XFFVF23d0XUdd1wAsV6vRvSDEOMiYcMGPzcZCCJqmSfvO8XdDtihCZvdIn3mCwdVKIKUY+QZpFEpqsuATaaaG4t+HiYT8n4DzLMXBKvPkLc2psBZJN3HuCtBZfTgSgYNEVyV7NCHUqKbL1CMQif40MfU+EILPtqinItuw33O1xICB1Oq7VOAcfz8EfIjjZFwh0PFkz4qAkFUN0SflhRCp6BqIo3pBcC7jPhXxTjj5WQ/H5lySSo8KgpDtS0MAGXHW4XtLDAElJUKBEGd2bEJkmUeE4CB4bFaaBBIZSTw97Aql899JiD5L5hPRik8KFqkN3kdiHCxpzy3b8jYZXotIobPyxScFiExdJFGIxJoOxyFEem9tSF2nYlgYpeuXOlg8YLP8PH02ZJAnGXdVEZQm5q4QHwIu+HS+ctJ2T5gwYcIPASsihVZobbJqANqmSc0uPiRbEx/obc/99gEj0zhg2x4CKWg+BIQE73t22x6jNMtZzcVinRR/zmGtI+aMQ+sCvoiUqqJpWlzviT43uEiJiBLfW7oQaLt2nIAHGbHR0gdLEOnfKQwyLWyUlARiUhAaQ297glDUqxU377+XLFs3D+jgmK3XqLqkjx4zm3P14j2evf+SsqxyrnLAtx2qLCjtmvabL9k2B0xV0nYNIXdlSpISNMRIlBEvAijGOY9zns73SC0xqhi7DX1v0UiEjIToiCKiC0NZVxRVTYhJSZnsI/LYHnMCsxTgc/cikbIo8fQE2xNjyp8WuWEM5FmTExBJmZDk8TiPyS56pBcUhaSqDKbQJAPVQN9blNEYXVJrjfMOHz09EakLhDIEJD4mq/mmb+i6Li3eihJkxBNBG4IApQ1CqURCukgUcVwUyaiQaARTJuSECRMm/BDoG8vmbsP333+H0tA1e/72X/wz/v2//3tsb6mqinI+o3MgVUFVzzkcWmazBc55jC6ZlXP6med+88hx16cYDedYXV1iLbx69Yb33nufvrMcjy3zao5Skpub5xx2ey4v1nz/3Xc8u36OEnB//4CznsP+wG6/o65LfB7jD92eZ6sbqkVJLwPbrsHd3eU8KsHu2ND2HfiILyvuDgd22y1VWXN98RwtFIdjR98c+eb+LXjH9u6W1aJmvpiDtyznNZvDnqZ3FM5z+9VXfPjjT/jv//v/jt/8+lf82//L/0hLg40ts5mh6xo293fcbTY8bO4RAu7vbzGF5te/+o98+NH7fP3NN3z+1We8/94HCK14eNxC0Dgf+fHP/gKU4HDscDFiY6QuSzSC3vbcPH/BYjbn/vUdIcq05o4SU5bsmwaHIAhBNZvz5vYu2coRMdrQHRvKuqYsDbKepTV/jMyrmrbveLi/T3nTs4qHTYspdHJiqOZordntdhTFjPVFRepSDtSzGc/fe85hv+Pbb75GKwmF5v7+juNxn2z8ERRFSn0y2vD61WtmiwXb7RYfBIvlNbvdI/dfvuLDD1/ioyI6z/svn/H6zZs/6T0xYcKECX8u0BIIWSEYIi4GDtvUyNvbnsoYZvMZRiXb9WMmJUPwKcvPRIJIMWc+Nw5bbwmkda5WEi0EUkKMqT6gI2N24qiylIJgbYokkUD0aXyQCi00CHA+YEMSwMiYol+MSrUFQURJAyGTccFhbY/v3eimU+gCQnJaUloTgT43JqcafKqzF1VFPauYzWbMZoucb5lyMK21aC3PrmBEaYlWGoQi5GZjqTVaSiRQVWlbqelmz9u3b5NbQHZv8nG4VilqTGud5lZlsm932e3Ju0DwgxBJEoNAak0MAq0KLMla3hid6hlK5cZrSyVTA3XXWfaHQ46KiYkQNj2671NuXBY11XU9Hh9S0g92vUqijMGFkO1eBR5HaQpUWadawyCeyorUMGSI2lSLMCY5XTnn6Jp2dJ1ExeSYJUCoqdno92EiIf8AlExZQOck2zk7DyfFnNbJF3ggB4evQfU2qhmGhxXy6c5SwBHOpQDcGE8y4adZh8OxJHIshN8l9RX5YXXahxCJzPPeo6VKxVN1soold2OEkG7+kK3Gog+EEMcCrRz1hmd7E79tXToQkOckZXxiKZel33iC8wSbvLIHGUWa2J9Y2pjtz3wm5VJdUYwWelKqTAKSbd/Sg3iQd5+UnJEgIPQ2W9XKMeMxeJff35MKVOT3ZfDwHtWh+fXhQggh0mtiOP5iVEaeW+gN5PXwegiJFNVGP7l2g/R8kLuPUnU13bYTJkyY8EOgnFUYo/EujhPOvu8oixJtDFVdpWwHIen6ntZ3BJeU6TIKnFDoKFF5bE622RElJdvdntlsxs3NDfP5ksPxyN3dPbvdFqUMWulsjyaZ1TWFMTiXugLbrkt5gXlhY73DBZ/UjiLio8fLgbgUg6CSQMR6h3SJkJRaEQV01uIIWO9Qhebi+orr956jqpLGe5brFdoYRGGItud4bNk9PnLc73m4f6DpO0xVIgMEr4jWEX1ItmMhQgwEZ580bTk3KEBPli6j7XkExcnWJcTUdKS1xmQLOu99alYiG8A/mWOkTlIpE+EolMJ7RZSMSsgBgYjMYz/wZCz2hER2ZstXKVVuEEtjvIgQ8OMcwhQGUxiiiJgYUYUZ86/Gc3bpmggtcmdssuCJIjWWEXqCVCghkkVO8IhC5PwQRWEKykkJOWHChAk/CH72s7+gbQ5sdxuOh4Zn19d88dln2K6nKmsKk4pkbdvgfEBIRYzw7OY5XW8p61lyMIoSomK/O7C+uCBGT3Nsk6pCamZVjb5WbB42Y0ZS1/WUZcWvf/MZIcD7739IsD1d17NXLUVZUnnH+mLNbD5Lin8hmM/nPH/vPfZdifMpbmS9WifVHxLy2lEgsX3H5mHDcd8kq3fnKMqKh7u33Dx/wdV6xVe/0TT7R4TUHPZ7+t5zPHY09jXrGCjqikJJDrtHNpt7qrrAzmq8TVnXtVEs+o4rCfvDAUTkYr0ixsBhv2e5WvLei+fc3z9wdXXBzfU1x+OR6DXryyuatuGf/+2/5Je/+gXeR25ubjg+blFSYZB8/+oVpUjr2/lsTmstZVVxOB65eHZDax1RSZQ2eO84Hh02eEypsc4lRcUsKTXIBU+tNRfrC2bzOQ8PDxyaQ5prVSWXFyXWetq25erqmhA8m80DWeSQCrt9j5TwwYcfsNvtiDEym9V88803CNI6Xyk1znsWyyW97bm8usb7dF2ScYPi9es7lqtkBettR12Vf8pbYsKECRP+bGC0SrXr7JQTQ+DoHFKk9fX777/H5eUlRHj75mF0oiFElNaEoOhch80EXW87rHdE79FaoYVCK4WKjHEeJqvkUk2Y3BAssm3oiQcYBpSiqACw1tHIlEEYQkAXRWowihGix/Y9MQSMlklxqRRCn2LDJKdoESWTQ1IU4EOfRDTkUvQooIK2bcfmWHnmGjDkMmojqaoq29GeXIm8cxyPR7TWJCv6crReHWricKpdG2PGa1KWJfP5nNlshhDJFaLve3bbPVIOGYuKokgE8fXVNQh4fHzk7u4uReJFn3Ktc4Rdn2skx+MR6+zIqdjg2B+OWJfI2hAC1lqMMVRVNao3x4i27GwVYiRk16Lh/AqT+AfbdiNxKkerWEefVZvDuaYavcp1hUxgu6QO9ZN74e/FxGb8AQw31bkS8jxj8TxzcFREnhXbBtnxuffx6HMcB4PRUw5RIh5dkm6f2ZuetvnU3vOchDwv0MWYSM5kmXrKX0Qkhi91IqQui8TsuzFDYfh/YiL2vHOIwf1MCAIR4QNy6KCIwzmcW8EONq6JZIwh27xmRWAIMVmM+kyA+kD0uRtBkIt1SYWQ7FPjyec6H0PMMujhoT+oECMkxWAO4dWDle2TPEawfQd5sKiqCq0UIfpsiSfGQSzZs53ObSQUicn+JReAxfDkzxclXQP1WwStyeHDw3Ua34+zz8dgdxdCoCzKJ1L2bipOTpgwYcIPgsuba1QIHA8Ntu8JLiCNpqxr5vWcGAJd29I1HbZx2LbHSQc+4G3KP/BIlJBp7Oxc7iQUtN0G5z2zxZzl6iKRfDmgvmkbeudRSnNxccGLFy+Y1RXHw4HN9jHlL+Z8R29TdqQLnsBJYRhiTCHsg4VobtjpvUN7hSw1piwIQNf3dMEhtGK+WvLey/f54NMfUc7nBK3RVYk0GqRAlyVVjPRdx36/xwaPLkuWqxX4gOtbnHWpcSgkMtIFD7570lwzjHvn86Xh3zlZA5nnUM45Cm0wxlCUJdY66HsAok9E4Rj6TnIdEFEmdafWyaI1hNxkNHYGjc1CIU08cnNV7sYMHi9ImY5ysFI/WacjyI1FKasjhICQAmN0yt0MAXITUyo493Rdy/HQJHtYKbBWZVdXgYuWvrMIIkYqCq2hrpCmQHqBFioRsUqh9DQ9nzBhwoQfAkopHh83OOeoyorj8YhzlqqqR4uupA5wFKakrmbsD0equqKzHucjUhsQitXFJUoblEoqBK0kdV3TNEeOxyPz2Wwc5/q+59tvv8Vog3Oen//lX7KoSh7u3lKHgNaKvmspy4q27bC9wxQKIZJV3LxeUs6XbPdtarxBYG2aYxipECi889T1gtlsyXHfMK9mKBFRMrKY14gYKLXi05/+jPaw5/bVK/76r/850XvCN1+xjY6+7fnxT3/CJz/5KV3fopRmNluktXkIHB8eic5SLRestaSzHcfjnuPxgDapkKiV5OrqgvVqRV3P2e8eOR476nJFURhev37Fe7fv8W/+9b/h3//D/w/XtSxmc7rdDofisD+w7z3r2TLVJohUdY3toLc9F5fXRCmS40BeBheqxEU3qixSATKtl40xY9Ex5rlHYQwhJreI2WxG19nR4UrKNBfZ7Te0zZFnz665ffuK5XwOJKs3rfVoFbfb7dBaM5/PMcbQNA0Aj9tHur7HO8/l5TVXlzfsto9sd1teff8NSoEIihgnm7YJEyZM+CGglKLvulSjzy6Efd8jhKSez1iuVlxeXeGs5+3tBkjryNKUmKJIa8teEGKg6zvCGDkiTtFq478lyPhEWJSahk/HMghHxlowYnTHSwRfqv32eZ0LqT6spXmyXh7qz4pThJcxBqkzBxED0UPyBWSMKhG5Hu6cZb/fEw9xbMwpy4JUpz6td5Uyo+2qkAVFUWQ78sNIxA1Zz4NApu97hqi64djOY9/SvlJMzbkYp6oLitzA61wS/xSFYr5IJG3THJAyZmdJjalKQtBjXXw4nnOR1rD9ruuB1EwupRwJyOHzMORpjg3Q2YJW5TpAURTUVYVAIOOZ0Eyp5DYVAoTkfDCQzSbb2iYHKEfoTrzQpIP8/ZiqHP8ZGFVr7xCDw8+s7cfXBrJLn3VJWPtUJZD+NmbV43ATJb/h9MENCDk8ANMxDB2SaftxJBnPb8L0JYghdfOfezIrmboUQg6PPR6PY/aVHJWQIR+fQkWBDNn5WA4htpk2DU/3O3wfHnyRgWxM+U4xnB1jCASX5M0i2XhnpabMCy1J8Nm/NAaiz3mRkJUd58SfPJGjOZsqDm2MgA0nFaTKOZFSKVzbgjy9h0IK1CnNajyXfOWf2N4ODzsRxYkgHNQoubPCOoeSp86Vc4Xju5+n9EA987/u7ai2KUzKFZGIROraaeEyYcKECT8EhFIgkt14iBEfA0VVUc5qZosFEpJSoeqJs0hwuZnFB46HI/vtnsPjnhADwbkxy886h5QF2/2O9suOt/cbyrJCSIk2hsf9Hh8i6/mcej5DFyYRWkYjtAYl8d4RvKO1Pb3r6fqepu9pujT5F5L0NyqNnSGPc1EKpFGYqkaVBZ5I5y1eQLWYsb665OLyktlqhTCaICWqMIm0ixGpFMVsxlVRIFWau3jX00hBc2wQSiFjVgn6RNJJD8YUKOKYhXjewHXerCWlRBoJpC7UYQw8n6torSCaJw05zqesC0nKzUxNQDnPWkmiSnYr53nLw1zhHIMtvPM+2aMC5CxJ4T3eJ0t4KdNcRmmVFqa2R9l0bCJ3vYYQ8d4Sgh+7PAc3haG5CBLR2ffpd0QMCG1QAqL3oOOYAe1zxmRw0zg/YcKECT8EfvWLX/DRxy/p2j2Pmwfm85qbZ9cpk6i3HPYHTFGwWq7ySlImJduh5XjsWK4rnA10vePi4pJ6PqfvPTNT4pxluVqwmNc411MUKy5XS+7vN7x+9ZqqnHF5eZktySJSwHJ9xeFwQAgoKsHD/Vv2uy1N03Fz8wE319d8/MGP+ODlx1hRc9Gkwh9R0LY9Sml8jBTGQLT4kJQgRVnSux6tFL0LvPfxSzZ39xAcN5cfJEtRYUAXLNZzPlAF7bef4/qG/WbL8WHL8mrFX/7FX0IIfPnFZ9TWYtuO3WNLXc24mpV0fYNSgaJQaJPzmkXk8mJFc+x5eHiga3vqes7l5ZrbN69ZXqx4uL/Dffwhs7JiKySyKIimIHQpR1kGaLqOopqjtCHEwI8++YTbzUNyeBA6R9oIXJ5X1LOasq4JOQdLaUUENAapFD6mcdgUKdfy2B7QJqk8klVcIoDb9ohSiqqqCMFTViWLxZKmORKCoyxL9vs92+0WgPV6zX6/Z7/fs16vqeucN7pY0tw/sG8OxKi4urpifXHJ6++/Z7Vcsnm44+tvPk85oRMmTJgw4Y9GEkAKQIJIWYzRBXpr2TzuePXmLW3vcH3P/f09x+ORuq7TerdI2ZBBhLxG49TwmkUpA05E5Lljnki1/Ozuc97UOq5rpRrj3AZ+QGudibNuVA4aJZ4Qe0OsmsguguQIkZhj0hKTwDj+QURJkZqhY8Ray7Frk7NPdlhIAqmYsibPBDrynfXz8N0YQ13XLBaLJNrJ3MZAvg0xb8O2rE1xIqPjUF7Ht21L0xyZzUoWixmLxZy2bXnYbDged+z2NcEHHh/vORx3FKZA6wqlhrcgRdRpLVksZjSNevK+pGuq8D45EqXmpMB+fxyPKbkVuZO4S+RMzTNCU77jYpgyIhnfz6qqRr7Ee48xicCNMeC8RQjGukWYWMjfi4mE/AM4kXrxt14fPmDnGG7aoeg2hLq+y9SnGzUFFKXth5GMjDGAiGedF6fty/P/EfH0s3OX1mxeprRCSj0+6KSQ50K9J6pFgDEjXSTrOS2SN7SQMSv65JiP5UOgD/7JtXmqxHxKsHnnE584XM8sgT9VB7PFa+70TNcwE5Ahtz1mK1fvfQrzHTMbQ8p6GnIZRcrMEMNFiYwDiJISqTTKKGZqdtahAt75tECUw/uVCoNIkR1fxdg5MZyHkieFohSSKMJIeMaYHmohDIXVQRmZz1ecjh/S52IgsId/K6WS4iTLyoUQuImEnDBhwoQfBLd3b6m0wvdJZRilwOfM4abvUAisS9aghSkojMJonfIRyprSVKgox3Equoh3fuz46/qe/eHA/tCwWC6pZjMObYMPIakw6prO9tw93GOUous6Dk1DZ3vavkvWI94nJR6R3tn0urUoLRFaYYRAaImMIEJAaIUqCkxd4rN9SeEdqirTwkwIbPD44MFD01jmRqNzbkMMqUHI2p5Dc2R/PGCDxwbP/nDAyOSYEHPWRRSJDNRFUvkPYfMD4TiEzg9dkyJ3kkqpSInTjCSkUiqRqSLlZ0cisU/Epo/hRLKKM0P7eGZXL08W7cDp+IRIqslIDn0Wow07ImVKiBAJMneWRpkanHLgvAuO2PeYwlDGoedUjK4VMZ4WlsYsiDFijB73obLTQl4iUyiVlSwij/cCREx289FP4/yECRMm/EBwtue427O5u6esDTfX11Sm4OLykhgjX3ffYHuLUgaBomt7jCmwLiCkpKrnRKAsaxCSul7QNA3OeZaLGq0U8/mc5nDkcfNI33W8evUKrTU/+tGPcuFRMqtniOA5HF5zdXWDkJE3r79ntb6gOTYgZLZqL4hRYXtP1CLbxYJ3ES01RImzDiVTxnDwHuctkUhRl/Q5S1oD1XzGvK7wjeX+7oFivmS32zFfX7E79jw8PLJYz5FC0TUdK6FYLFZ8+ulPaJsWKZLTgy5Maoh2LVVVUtU3SAneW3b7LYU2FEbzZveGzcMdi/mS+WzGarVkvda46Hn75jX/z//H/52X771PVRjafc+srGi6NP4XSrFcruidZb1eIbTi7v4eXRX0tkcLQVkUSGWIfU/btXS9oJrVqMGxIM87dGGw3mP7k4qjqiqQIKUihLxOz7a5QiRHg7IoidFz2B+ZzRbcvb3FGDUWi4f1/3K5HBWR3nsuLy8pyhJTVEShMKZg97jn4eGRl++/Tz1bcFFecHFxyeZxw+Pj5k97U0yYMGHCnwm8S7mKlrR2klJS1TXaGCCyedzQdh0+x4TI7DgzkE3noqIwxKGFlP2npHyyr3fVkWMNmCRoORefwKnSba0dv5wLTwjJgUBs26TmrKoKYdQZSUgiIEMi87TRGFkgB7WlGpwBSSSkOEWECMHodui9z+rLpBYcRFHOOQ6HQ1JpZnoohDCqGWez2Ug0Dg4D5yTsgGGfA5E6EKzD+GltT2/BugLnDdZ1dF1D13VsNndpTN0/Ym2L1hIfHJoCpQQhyHG/aa1d4gf3RhiFTDHaUaU4kI5D7WEgFc+J11lZjtyM97k2Ek/EJvkzMBCvvk/7TLExidwcBElDlJoxJr13k3vh78VEQv4BnNtznasc381pHG6I858PJNzgtzzIh0/d8eJsWydCM+JHr2cY1ANZOTnkEJIeSFHEvE/GDgliUgFqZVBKn44rxPEhIPO+EzmZzrFUevydZEkq0UohYswqxdSKMNxQMU/2h+tzDu/DEyVAeojK8bowqBqFfNJhkq7J4KzmicGPOV2C9NAfT1NJiIJM5SJ0KvZJxFBjTIOHUqOKkpwfpWSywFNKjAVS5yxRpEyvQWE6dJ4O5Of552FUYnIiKCODZW0gC12JMS+KYgo0FoKzz1Ky2B2J4DwYRk6E7fDAHDo33iW+J0yYMGHCfxk2m0cWdYkW+rRQcI6ma8mPebx1RBdQZWrmiTHlM0ktKauSi6tLZBTJAsYG9vs9j4+PbPe7s447zeFwYH9saFtHiJG6niVi0dpkDS5lJhzz/CCrCsnqyUCyXyWTfiF3XiIFY6vg0J2pFVIrOueJ1lJ4Ty0FLngOzZHd8cC1c5jSUJRFGnt8snh11tK2LdvdI199/TWvvv+eQqciXNM2RKPTPCAEJHGcloy2NGdj1OAEMSwChkWX0ic7dUg5ji6rBn0MqcNTSUKUJ4v1nPUBgigGx4n8+6Ss53i2zShOBCQyuTog8iIRSQBEDNm5IaZcz0xKCikQKi/sICkVEyWafq4UiqScHd5fpVJ3acqHTMTicIzaGCIeJQVKCBQk0nO0YgeVj8lHT4jTOD9hwoQJPwRef/8dIjref+8F1rVE77m5uub6+obD8Uh7bHHO8d77N6yWK6RUzKo5+0ODtR6ZI06WiyWHYwMBlEqWZFVX8v3uOw7Hhs3d/Ri5sd8f+au/+ivKqiLGSFlWKKXZbR5RpmS+WqMlPG43tM2B5WqFVpq+t7Rt+rK9x6g0LLk+ZuIsWbIWhcG5lPekSIXAoox0XY/zgdm84uFhi0YipUZEOLQ9vfWY2ZIgDZ/8/Of0oePu8S3r5ZrLiyuCTZb0l1fX/OVf/RVSCj5vGsrFHBEDm9sN9bymqgxNe8Q7uNQXaKXY7baEYCmKgq5tidFTVQXORd5/8RKIvH7zhtDbpODwgbZtsX3P1cUlm/sH2q5nub5gt9/zk48+IijJq7tbitkcFwNYS6VMKjAXBa9uv+dCCnTO1B6KsrvjASkl9Sw1HDdNw/6QVIt9b9Ha0LY92+0WpRRN0xBCTApVGSnLVDuZ1TWP281ZLSMym81omob5fE6XbeuLokjNTaYg+MisnuNsZL/d8+bNHS9ePGPzcI+Ukg9efsxivuD/xT/8KW+LCRMmTPizQAwRo1SKBhleI6JNIs7arsNmi9WL1QXRh2zZ3Y7ZgZDruScZS65Vn5GNUo6NOefqQZEN+AYS8omb3ihiOQmRtNajAlMGRqLucDiMohOtqryezuveXBNWQwPtOzCZcFVSoM44BqQY93USupwyEFP92o8EqTb1k1i5MR8y16OBUVk4XrPz65NtS9u2Hf892KEO52Ntz+Gw53hs6Lp2bOhJohyXiTyNEOTvMo/Z7UgaV1WFy9FyiWfxeOvy+jspSwfCsSiKJ8Tw+XheF4au68YmI+/9qGF6Vx1qjEEaObpJOtfn724UkTlnx3PtJxLy92IiIf8Azm3EgLFTf/j3UFibzWaUVTHedE3T5EBzOUqT3Tv2Ws6dCMiRnGNQTg7Fq1P3hUCNlqYgkEKhNKNMOGbr0oGwKwqDlHp8AFhrcfk4BEDInR+ZBExdHydy1TuPs55CawQRF5JvcwypAOvcyf86Zlly6v43p2OUEqVSvqPIHQpCxGQjNxCDYlA8BpzPnRUKXLYjTcXObGsKuQAoU9HRB+KQy+hTRmOmRbP6QFOoAlWoJLd2DhkFdVmxXq0oqwJrLY+Pj7Rdg8uKl/P339mI96BN9VQ9mklWLfSTB9T/n73/bJIku9I0wecyJcacBstMZAJVqO6p6a6eJR+W/Iz9xSMrMiKzu7JkZle6C11AFYDMoB7OjCm7ZD+cq2oWiarBTCF3IIvRI+ISGZFO1Mzc9N573vM+72nhkcc5/ndMHvLCkwj5uZPPqYoCnfSXN/koSDZrrWDiUsJojf3RRM5cc80111z/uhqFosEP0+SjToID973HGoNG1pf9bkeKiCtAa6KPhN6j0SzKis1qTWlLlrkh9fz0W4aupygKyrIEpdgfDjw/H6XZtT9y3XZcX19jCsliSICPgSFI7lNd17S9oMq6rpOcYmuzCOkx+XDQDz1DiPiU0EVB07Z0KqKsOCJ7P6D7Hl1Ydoc9b9+/Z317zZvNirKUvUvfddx9uuP9h/eSBekHHh8faQ6HnC0lyNq+78WFGOV5U0kOabowXxxCxuGZ0eVYFAVd19E0DccQKbSdEOkTyn3cCykRTCUQXsvj9F4E2hjxyYsAGsdhsHzwUXluyGjSIIfQkRIhh0smx6tCciVjpjMo57DO4aoS64zkQWsI0WOswRWCpBn3OCFEFIK514YJtz4MfRYXZX83Xt94sNFaoRKE4CEGkjbEYChwGCfPyTRvNtdcc801159UzhhUirTNkfV6KedF4N/+zd/w3/63/xeGrmexWOJsQdc0hJAHZlCURYmzFqsMRV2RYsL3/USqsVax37csqoLv98+8uH2JtY5vv/05Smm8j9ii4NC0bFZL9seGarGkqCoUgW9+9g0f3v3Ab3/za1brFYvFAoDH+2esvaNcBtbrC7S2tLmxFc8w5iCNROcsPiVcVaC85tj0FEVJ4Qo+fbrDJI1yDqc0r25f4FxB37V88+13xO8jd3f3YCwvvnrJIq/lNy9f8rdOMpnev3uHHzpSaKkKR4xeCAl+YLlesd/t8CFQ1QuqcoX3gc+f77i6vuP29iW3N1eyH+g7DrsD28cnrDZUrqAqCoZ+oKoqjk2DKQqq1YpPd3foqiApLdi8siIpxbFtpibj1c0NPnh817JYLHBFQZvzoM6HopICn/ckIQS22z3LxYrgI+SeS9f1WZA8EIJnt3/mzZuvMFZP6NXVakXf9+ImXS65vr6mrmseHh74+OkTL998hSsLlNJcXd2w3e64/3zPP/zDb9hcLDked6wvNjRt8+d7Q8w111xz/QWVs07OdMpk0XGYMNxJSx5jAoqq4OrmhhgC9/f30j82miEGiceIEZUi5EFbtP5CYDPGYLX0Bc6dgHkkWAZY1Smq6zwTMsYwuenKsp7yCkM3TLQg59wXesFISRSDTKIsSlb1Elc6huDpuhYVZehY8o41SSsGL4aiRMRoyV8co+HGx3MuzGnjzoZifyS6Zb1j7E+P8XI/dkL+2Jw19rQlm/P0PSV2LtD3HRCpqoKmaTJZIWKtxrkSa0UzcIXFWTedqYfhRE6S9VuTokJhxFilU45I8SwWC1YrN70m4zWcnt+ACmJGOtd7xn5Bn/svo2GrKApKVwrdKEaaJkwCqgjRMeNgRR/q/UlTmOvLmkXI/xH1Yz7yuQg5vtGqqqKsTgGrY9DsOZJ0vKmcbmbmizeCMSJCquwOFBToaPvWWSs8CVAnV4HJX092RMq4/7kb89x+HELIKLP8OVlY1NYJmiRGYvCS2Rhh6HtxQSolgmDGmcX4h4Gro9X53No+ipOS8aROOFYtDopEzKIrkPEoMYpwmUY7fA6hVNmpoFTKDOw8qaCQhYOz/EVtsEaLhTq7RSMQfaBvO8miCoHg/ZRNqVXOkJoMp2kSfr0fpkbnNPWhTzdeccfEE66VLzNDx+divMHrSUyU5quzDlLCK8l+jCHQtR2pOE1l/DODL3PNNddcc/0rS9aJLIKlLGAlQZJ670l5A6ki6KAJg6ylOmcZp5AotEMrhWsswQT6rgMU33z9DcPQMwySFdk0LX3TZfS5wg8Dzw+P+H7gsDrQNEdSSvgkwzfjGu6HIRMKZC002QlptJuEr0jCMO4B5OvS4DNePKPcFfTDgEpCQIgh0B4OdMOWY9PwtN3y8f0H7h8fcoC94bDd0fcdhTUijsWUcfH6lMmY18jxcJNSmvZCwBf7jwlJ7wPGKJTJrkAtzs9RgDx3M6rs7FRJnJfEjEPN2HMVI3p0SZ6RBsYFc/Q6jmvotKfTWn52dj+6LEIaYyQDOyNulJFBImvt5ERNKWX3phx2UCljWE5kCtkryDpvjKXQhhQDVikZwoqRL0aK8u/gKPDONddcc831p9dqtST4AYWjsI7DYU8KiebY8OnDJ37x81/w+fM9m+WaEBNV4VgtFjw8Pov45RzLumQIUfKQx6Fbo2mPR4zW3H/+TFWWeO/55pufsVqtadsOpUXAury8ZHdsGXzg6qqm6ztS7ElxQBtFtaxomwPee8qNNCc/vHvP1UtZR4qyRgFVVWKt4fl5LznEw8DheKAsC4rCUhZOkPDe0zYNVVFS1RVDN7BcriElbFnSNA2fPnzg1asL/st/93f85p9+zT/99rfcPz9y8+KG19+8od7UXF5e81/8l/+ON19/w3/zf/6vefPNzygLg9YKW1h+/esn4vHIcrVmtdrw+PgsLtLdgcVizXb7zNXVNe/fv+P5+Zm6rNisVrS7PcfdHluDK0tijFRVxXJV4cqKqBVN1+KMwlZlXo81xhXYoiR4QcQvlotTj0UrfBBnBEroFE/PzxRlwWazwVqTh8IDRVGilPRvxBkiDsq+73CuyINFFY+Pj3jvaZqGp6cnTEbvXlxc8PHjR+7u7ib02n6/xz7e8/LVG4rCCUrOGl6/ec3jwwPD0PH4+MzxcMBY90d/b+eaa6655vrj5VyJybS7mBJD8BybhqKqJOIiBLQx1Msl1zfXHPYH1OMjKcp6EUJApTCtD2Tjh1aS5zjiOI2RwdN/blD0rKX/JTERPYmT4/DMZrOhrmuM1jw/PhMbGazZbDZnZh6JJvN+IA4e54RcdHV1hXWWfXOgz+YiPZKSzKnvPHhPCAN14c6ucXRIyiCsiHN6IggAhHiiP56LjOM6O57tx/93PnB8Hid23i8fB42ttRTOoZSW2DVUpja67HYUx+OkIyjNfr+jquqMUR8JiwmQgfGUCUni3HSkZARPn3sRE4EpX9MoBMvfC4b83I/uVGutGLHOMK6j9uO9py7qLz5/dLaGkN2QnIiYMIuQ/1LNIuT/iDoPlwUmPvAp/8dlO/OXX3PORT63MI9fX7hiEg0FsSJBs1obSJGYgmQdqpHzbKbGX4qSGyQ3kZwfqUWsRJkJaZrSCQGbcq7iKGqa0SIdI5FI5/tJdEspTZmLQz8gfTedEakpZyjpL5Bhp3Dek+B2EkAjKcrEJpDdmmThTzCz6Uw4nXIyc2NRTbZoyU1S+fPHyRNQGJ3joLQcPJwxOGMxZFs6ipAUyQeGruPp8RFbmMlhMvY9JZB4FHMFeZtiQsXc+B2nWyZk7klknK4mi4rnDdnxJjjeWH88PaKVJgSfHajDScw9+8WKIRLmqYq55pprrp+kRnd51JKLLPqgRiWVG40qm9ZV3mCLKJi8rM8qgWeQTKZuQCWF7weCD2zqDbEsOTYNu90BozSb1Qq1dhjrCFGaoEPbsh0GuvYoop6WIZ8+SHZF07ZEEj4PDBmlMVqhrZoODirJAUQrhbEWtIGcu1g4S1kUssk3BrRiGAYe7x/ovaf3ga7rORyO7J6eaXcHkoJoDX4YZDjIy0SlUoJtxQjSdMTGjlnIUZ0Q7eeYdn1+gMuI9InroCST0XsvmRd5OCiEIOu+NTitJvx7yHnNIUZSCOh4okDACQuDUoJkHfcS8YQ8Z8TomEwX0ArnMr7e6OnDGI1xMqBlrYiTkXGfdMq/kActe4jxMZ4j+rXWGKWIQTB0pCDXwLgnUznPQqGS+jL/e6655pprrn91LeoKZzXLuiZFoQetFkt+9Z9+xdANXF3eYG6txHkYTex7+ubI490d17e3OK1J3uP7ge54pLCWoqywSvHrX/9DpiB1fPvtd1hXUFUV+/0elKYyBq0NwxB4ft5SL5cYa9E60Xct7z+8JfqOr795g0oBjebiYsPt1Uuetjuenp553u4pq5Krq2vqxZKdlz2GdQ5tlazfxyNNq1guai7WCy7WNe/etnR9x+3VFQ/3T4ToKYuCaqWwZYl1bzgcnnh5/ZK/+uW/If32N/zHX/0nlu/fsz3s+Nl339INkj+13e64ffGSf/fvfknXN/znv/9P7Nse7Ur2xx3GFoTBY23JxdU1ZbmgKEqen7d8/vyJGAN1VUGMHLY7Ltcb+kNDczxCkOwtrY3sUZQihEhIA6VZsVguaH1gWZWU1YJj0xJipHQlY/YUAGO0idYcjkequmZzsRHB9dMnyrLEWov3EjnTdR2LxRKlNIfDDmctj0/9hFSr64LHhwe6vp1cKm3bstvtuL295fLyUtD72y3OOW5vb3l/f4ctHBebS1bLNUXpSBEuLjdoBWVh+fDhPX3f/tneD3PNNddcf0llrWQWF1rnM7BitdlQL2qetlseHx+xhaOsa1abDU3GgMbgT2TDMEwkwxSTnANHw1Hu+Z7+ftIGhNQncR0q//08ui3GkYijpr74MAzT5+22W/q+l+zF9RpjzIRlTdmAc26wqaoKYw3tkPGhMZ/J8882RgaGjTHZmRcmjGkIAWtliAjO3YzydSkldDwJdaNmMfakgTM3Z4lzbiI+js7J8f9ZaxlyvMtozhrP+31/wrmGIDqIXJcM8gqZMBJCT3/c03Ud1jqG3jMMnpTAOY9C568nZ1cuUSrmrMkux635P7j2uhYnqnMuP89pyo22xuKH4/SYx/P8iJRtVDM9l+NjNsYQgiamgIlCfgohkNQXo8ZzndUsQv6RGptr+mxjO252R1FJKWlOtl0zuSBHIW3EkJ1zo0eetPcRGBGl4oyEhDFWblhhEFdiFNFNEYlKcgVHkVFMA9JonJp7ubM32qVH7rEoa//MgxynFBgjJbPLcESPOovRwmNOSpyEKY0uAvPFjfYcISvNuTA1btP0fAlLW+ebeEJByu7PlORz8yQBUXqLSon7g5RzF9OYDamyUCuZGBqDTloEw6hQUYsBIspj10mL6OojT89PGKsngdA5izmbIBkt8JBIOqGTyYekH+WCppP4mLKrUW5KpxBgiNMiJNmYWlwgWdhVCrCnfKjxd238+vH3CeB4duOea6655prrX19WG6wyRJ3EfJYUwUtDTICdKa9Tku3nCkdROGLv6buB6AUNEn2gSUfCINhvQuL4dEQrRdf3tE2HK0pWmw3ffftX1MsVMcHdxzvuPn/meDzSHhpCRrEOXj5CjJIFqbNLP1+PGoWyTE5QgM2ba20dyRpSnm60xlK6QjCu1uJJbB+f6LqOclGzurikqmvWqxU6JSrn8DGybw44I4KmziQEi6IfPCoIlp3oxbWp8t5Bf0lhOKc9wFl2xDg0pRVRMU1QjkHu4zpo9Ong50PIQ1sj4lw2QiljYlWS3MYRyTr+7BG3Sh7q+mIQSGusE7ztCEGIMYnbRWuMs1RVQUhhOpCmlHJ+pc77L4vWgmlxzoltFjLG5pQnrbWWvJIk6PvgA0lBYeyUOWJM3smYeXs+11xzzfVTVOEst9fXKBVRGtx6xf3nz3z+fI8fAp8+fOLq8po3r15z6BqarqM97Em+x8SAb460zuFjoj3sqQpH4SxD13C53nBsj1xebKaG4W63Q1nHIk/vL1eb7KKzWKexpebp8RGjAze3V2yfHrj78J4QPDFpmuMRc6O4vb3l4lpnMfKJByJvyoLrixX3T1uWq5qyLATF7gMahdOKZt/QNdLkLJ3DWM1iWdJ3Pa6oGfqBtz98oO87Xry6pfMD9WrJN99+xw/v39H1Lb/59W+4u7vj3/ztv+XXv/41u/2On333DUkZjCuJylCtlnxdfktz2GO0oT20rOol9/eP1OWC5XrDz3/xC/77/9d/x+e7j3z96jXL5Zrt4RllCtarFd2xRScoy4q+HyhtQVIpD0cH0mFPrxLXL1+SgN4PkDObB+9ZrZdoa057iJQoyhJXFByOB4ZBUS0XJK1ou45+uxUyQVGhlTRAve/Z7/e5D2BJKWCKgouLC1LseXj8zGazAeDx8ZHNZsP9/X0eYFbi4Fwuubi8hELzvHvm4emBX/7ib7i8uCL4SNMc6EPg+sUNMXq226c/51tirrnmmusvqBIhD7cWRUFZlbhaxLr98Ug/DJjCsVgtWV9seLi/Zxg8/dBitCF4T98eaY5Hhq7H2jw4e+bmG+tclByNKT/GsQJnoqDFaEOM0HUdwzDw9PQ0CVlpCCwWC5bLJSqdqEFt22GtpSwLtJNMxxAD2+0WW0gmdUxZSDwTKsezZFEU2KQJpMlwI8SBkqJwjHFwEp+icn86oU05XTswiaZjDuQo4pWlYElHgRHI11tSVRV1XXM8Hhmysabv+9MZPtODxkFeua56inIJYTxHW1b1avrcmAI+eGJItG0PCIpVa4NzBdYayrIixgpnW2LYiikrZkKT9/Sdp2sHiqLFOk0aBLlaFMVpoOnMATn1EjKu9Xg8TtqPUufGIgCD0qeMT7T5/82v+19AzV2OP1LnYtO56+18miGEQIinN9f59P+5BXm0AY8q/zCI+GQy8ksri/QTRVVTyqJVIOaGVUwJpcYGHPlzjNi5jZmaY2Mjb3JAjo8hOyEBIhFCFhmVOk0exognCXLOi93ZGSvi5xfOAnFynjv9xgNASn56fsYbD0LPRjCxWexM0iyMUdjbKcTJ6RdTlIZgRrEqkBxJle3mI8Qso2FFHQUYBTvAB6IJ0415nEXQOW8pBmnuxjE0NuWfp2SiJb+A+Zk+1ZQTGiCmSFRnDGlzcoT64DMD/MvfiS//O+NZUQz6NIlRluX0s+Qmp754Leeaa6655vrTS6dxbciudARTqpWWVSAlhpjd8Gp0FFqC0qQIIdMHog/EIZMHQiQMA92xQSfJNgxRHP3t4cjnT59ZrztsUaKARVWJe7+3DH6g7ToR4pQIj4IlzyJfdjwSIhgl+4Uoop6xcthJ49cpnYXUvLYhKptWiiEE9vs9h+ZIN3iWyxVlWXI8HGn2R5KCvu3ww4DVmuQFoSoIWnGBRgXEkDGoikBgzLOehp9ynWPppzVRMe0fiBJGH8N4nScczPk+SnEamuKMnD7WFwNRWk0CZRr3BUl9cU3ja6+UIsSAikoGmZTCWjMJizrpkeU6oWcilpTG4TQ9IfZTUhkzn/JT8yXWJoX8/AQRIQMqX+uJpHDCtc8111xzzfWnVFWW/Nt/+ze8ffc9j48PvHr1ioeHB7quw2jLy5cv+fz5gR++/4EXr15ggG4YWC1rnDXEMED0DG2HMypjWA/4vmN9scQWhsViyYePd1xax2KxwCc5Ix6OB1LSEw7uabvn8/1nUuwoXKJwYAvNbv9MtShZlitSCByPB65vlpS2ZLVec3V1Sdd3lFWBKy3r9RJXSN9AxYTSQtTRSrFaLVAqEXpPjIHj4UjXNhSuoCwNIQb2h2fu7j7zuHvi66+/YnOx4fL6kv/9//H/wKePH/in3/0TzbHh86fP+MHz+e4z/+a/+Dcc245/+u1v+M1vf8vrVy94/fIFh92O6D2Pnx/53/yv/tf8w69+zX//3/1/qBcrjscjr1+/4u7THY8Pj5ikGfqBfbPnanPJ8vKKGAKgiEncDwZwRYExFlU4Ykp0fc++bXFFyXK1oawquq7j0BwlTztJn8RaK06S45GqqjkcD/TBc3Nzw2q14nf/+FuU0hwPDc6VgMdaS10vQCUWiyVNc8AYRd+LE+X6+pqnpye+/fZbXr58yYcPHzDG0LYtzjm22y0PDw/44Hn1+gWRyPv3H/nh7fd0Xc9mvUFrzfP2ia5vJBvMzs3Jueaaa66forTWEq+VnYc+BpT3+Bjo/EDSUGRxbLlcslqvqRcLhm3HMPR0bcfQtZOjr3COwp2woBNi1GQq4Y8yITkTIVNeh5yTLEZrxMjjfZz6uU3TTYO6q8WCi4sLiqLgsHuenHtybh4oclQIyBn3+fkZW1hCzD1ua6ajrdZahmF1pvmFiFGJIE3yL86X5+LaSPSJMaLNyWhljBADx2zEkQI5nt3Hf++67gvn4OiO7Ps+6yPpy3NtguBFJ4gpUhYlZVHhg2cYOrquz05Mx2JZAzKsPAyeFCN9PzDG0SlOGkjX9fm5t9R1naNlLEqpSUgdhWDvPcYqLCmjVBOHwwFnLQm+oBmNhEJrRVCGMZ4vnom18luglZ4cpHP9yzU/Q3+kvhDxchPsx/l+8kvfonV26X3RODthPb9oQqVEWdZZmBvxZULoCjGcHINGo1TIaNVTg2r6GVpTVnWe7o+EQdBqfhhO+FVOiFGxO1s0Z1MT+bF2fSdY2Jhy2KI0AvthwEbyFEeUhh4yCaHIrsAIQwoEH+n7fnJ1+uyaNEZN4itkd1/KDzq7FIlBcihDdlDoL0VIkiJpjTWje/KU5SS90DjlKKUY8Si0HrJNXsRHYwzWWQya4CMxicPFGptvUqNASga4Zo1TS0N3FCVHYVglaSCSP0/nlqZG0ecJyfHzQRYnpt+n7OCIgQC07RFr3TRBMtq+tZFpChPzz59vbHPNNddcP0np7JAnkp10EaNy/mEeIglZPDMGrPGSpxgjSiWMVhR1zdD2BBTOJIIxDChiMaATOCxKGZTShMHz9u33ErpuXM4rVBkRIhtlRuFMIY3LKBSCkCI+Dz6pJIjwcc9Bzm3WWpOMAWOIxqBMFiFTQmsIKWCdpXQVQ4r0fqBvjvi+J4bEdrdl6HqKquTYtvRDT1kU6FTktVquN505ESf06T8DW0gpnZ7HMyqD5pQfPX5eGvOjTT7gqZPz8FzQHEuhJ4a6QpPyQNBpWCfvb+I5teA0SCZCYSTlTEdyPvV4qLDWZGeEyVmVGTkbY0bFSeMU5DLk4Ji/JzEv1zbv1872hXKReR8j+yS0wsQkdItMu5hrrrnmmutPr5sX1ySV2O52fPX1N8QUQGnKoqKuFwSf5CNAd2zom5bn3ZaqXqC1ZVEvICmOxyOr1YZ6sZCswaLg+uqKx6cnOetqTdu0kg3oSnoGtHE0Tcv19Q3P2x1lVbJaVpB62uaRwhm2z1uWqxUX6w3Las3++UgzDBjnUNYyxERZVawvNhSFYQiJGGWYRSNN1xg8QxgISDNWK3ClY1kvIcEwdKzWS5RW1MuSX/4Xf83ty1set1vWFytW6wVKa168uWG5qjO+1PHm1SuawwGdFO9/eMff/t3f8t13f8Xvf/89Hz5+ZrlYcdwfqVxBWdV8+nzPi1dv+Pa7A8+PD7x7d2BRlVysN7z9/Q/0x47byxtUXlLrqsq4Ns9iuWLftRCCuEeMgUxB6LqWarHEWEGnohSucNM5OyWhC4xN0qvrK7bbrbgxupa7uzvZx7mCqijo+gHrREgcvMZYQ9M2JHKWVoTDcU9RaPrjkbpeslqtCCHwN3/zN3z48EFyPne73LgseP/+A5+3d1zf3PDV61ccDg3b7SOrZc1+v6UqCvq+43g4cDwe/8zvirnmmmuuv4wyVqOUJfqBwQ+EY6Tre5TR+K6fYshU7jsX1lHXFcdjQd8OdN1ACimT6qBwI2o0CrnPnKg8eqQDMUa4nM6+SUFCsgyVNjnKJU6mkzhFeSS0spSlo6orrDOEnE8pQp4mRcMw9DRtg9V6Oo92bUtAIj2UFbemTwFrJG9yWdfEEATp6ns5q4+6QWIaFK5rMbxIe1tlZ2RkGDrOMaM/jls7j5nr+34S9YQq6CbU7Fjj96qqKtOBBnzwOXYlYoxhtVpT14uMw33msD9SFA5nhUZkrMEZR1WUeOeJPuZcZ4vRIlYabfD9QO96zJmb89wdOmZWTjEpWgtp0id8J3jbuqpx1qKtRUfpu/jcvxA0azH18kUXidN/p2yiGoeV+2GmF/5LNasZf6S0tYL2EptcxoAmeePkxmSKefowCrp0Cn2NowPSTTbtcRBfGcvZ2xM4a5wlhdYWM4pteFKSgwacELEoNXGvhzyN0PkhTxSCxUCMYlQI0gg0GAgK4xxVWWKMA5J8TVB0viV6UMlgRiBdRrDGJGhZq7UIgsoSojTQuiHQDxE/yCFOZcdjGKQRqLUi5sZqDCE7O7JIGgSjNj4HSqwagipLZ25NJSKeTx6XhUWQfKx0Jo6CIGoTYr8egpf+Ym4IOsAkjXbizDTGoK0DJQ3bkLuAKQXCOAmSM6MSEFQiRpkY0RqUV1N2lCZBnsDR+bVOo5IpfW6ZMomB2A1ZJE7gNcomtFb4oPBesqoinkgk4FFGyUL1I7zdXHPNNddc/8oaQBmFRROFN86qWmGNQStD3/Xs+h1D06BKja4Smkg/9MTgKYxDEQW/HTykhHEGFQzWORnqAbR2MrWXFPv9kabZE4NM7YWQWG3Wggwjh7/3vbgCRwyMaGNfOOtTyHsKMuVADySjMbYS2oGWw5RXgWZo8MdAtVxgjUPh0SliSaTocc7go6ewGp0MfugIfUvtHIW16KSERqCh9z2FcxhrSCYPWqlE3wX8IOu7VlqQoznnOHifUe5JRF4ne4wYguxf/DAJjT4GcYZqKwNEOde59YkQUka0Z1SM1eA9BE+MEHySPU9UaB/FIcIoR0Z8zsQS5yKoFNFErFb4MKAZsyUNUJCUrL+JnMepFTolTN6T9JOz0zLigGL0eRJ2FJbJmSNZtFQGa0sUhugHTM77TkEx9EFyJ+PshJxrrrnm+ilq8+Kaj0/3DESSkfUYrfn259+xrDc8Pez57ttfsqgW4APFYkn0lmQMh8PA6iLy+sU1g9LsDwfaz5+5urzk+vaW1XrFft8wxEBV1rRtJ1nTRs7yT9sd1jkOhy0vbq8xRrOoCxIe/AXv3/+ep4dnNpsrlLI87hq++ubnbHdHtj6xqiy+8wQUJin6oPJ5V9P3AecU1jg0BhzsD1s2l2u22wMXqzoPJnsub6+JITKEgOrg8X7L5mLFzesbnrdbutBivGHoE6VzrJcLhq6j3R5Qved/91/9b1muV2wW11xe3PDm//Qt/81/81/z/vvvJT+xLFhUFR/f3+OHgaIoefXyNU8Pd+x2e9b1mjcv3vD542d2T1tW9YrjviH6RFnXVMsaW5ZcX92w7xo8EFREJ48rS8nMVomVXeGsnIP3z1tevfqGECHElJ0VLdoYXO+xpiCYhNOyz/j08TNVXaBsSbko2T5v0cYQSfTNUYaFrKVaLOj6nmrhIHq6vmG/f+ZwbCkKy+f7R8qqQmtDVS9ZNS2geHp6ZHt84MPbd5RFRfCBp/0B5T0///lf8fz0RN8epbPT9f9Dv7JzzTXXXHP9jy0t2PXYBunfhkjoO+nDhoAOkdj3FNpgNVSl5WK94fnxGZUkwst7hcykamKUuC/pe49MIQhIRFrSMlzrAactxjpIOVJMaQKazkuvAOTMGkOm7yVDWVQYbbLbTowoIXh8GIjJE6PHOUtROEiRwbckLI4iY8k92igcMrVqlULFiFVglPQFjIbSOXyQ/rg2OdJFK5yz03CytRrjDCFAJFHoYspBHE0xo6g4io2jWzOEc0pSpPMtYfCCxM25kMaYKX8xpsixPTIcD4QzN6kxBmc1wRmqwjGUkkdpjaEw5SR4Dl2P1ZrVQjIdSRBjHgxHREVNpGmaafDZOfdF5Iu1lqIo5HGEniF6MQspefw+BgiZ2BgCfdfT+4GqLCmrCmOMROj4Toa889FehtU1GkUKnhT8pN3M9Yc1i5B/rM45wDFJQ2rEnU6OhOw2NCZPt2dBkRPG84tcpNFtJ1bAP+BMC7JUxDyQhhtJEWNW7zPzWmsJPh28p+s7mrZlyBmU1lpUbn6q8x9Mdg8k8D5MaNcU5TGpJG4+pRJkFra8sZluQnINSPM0Ox+7rmPoe4L3MrmY8a3GOsacyPHNHEIgDD5bPxNkEXJ6rsbnE6bnc3RZxBSxaBFXYyImD9FMz935W338u/wp/8eHMGVKFroQcRKDMokMwR3JcpI3mX+uym4OeakkG0wQr9KY1Uqh0imoWD5N3BTKGMm9ys6RGCIxyGOXRquZnKI+DMQuYIym0ML/bvtW0ABFgSsd+uwVnWuuueaa60+oKOsBCcLg6boenMaUBlNYSqfxpZdDjNH0TYukEGiMNiJMOc3gB2IQvKe1BlUVMASSHrMKSoy2gKLtevx+TwgJ6ywxDez3e5p8ryeLjtZIlkPIhIIYQ84QVnmNOrkDT/hPwbdEJVMvMSiGPqJCj0sDIQUG36O0lrzJBMv1hsIYjJYhnE4lUh+xesTOwPnqaqwhpEgK0+xnHgSKk5sx5GsNXrIkohcxMkVZF2OQ4Z+UZOhIGy1DOimSMqI8qpibi7L/kscvbkFDpkNMe4fTKOr474DsObIAqrVC5QnI8ZNVHnxSRKqiRBuFciZ/bt4/TIQEGeoiOziMNRT6lFMR4piXMbofNd4PZ9OziiEG+r6DfGhTShOCR2knE7I+gJKm8VxzzTXXXH96LVcLQuwJydN0DTFE1hcbLq+uMapgvdasVpf4bqBt99R1TVUtSc5QrSTb8NC2fLr/jI+Rb7/7jusXt1jrSMByueJwFHebNoaLzYXsJYAXN9cs1wu6PlA4w/N2izFrwtCw3z6yfdpSlhWFK3neHhg87JuOpCyd98Rtc0KgoZBZHUVdl0SZNZJKGm3g6uaC+/tntNJEAtv9njAEykKapLvdjsv1hhevb9htD3TbHYtFxf55z+XFBW3T49yCb372Db/+j7/i//F/+7/zd//u3/Pm9hVPux2Pnx7ow4APPZfLS9zXmrc//J40RIIOOG0oyhoFDF3H1eUV973n4e6e2lXcXF3T7PY0TUvhCpaLFeViIU1Va1FlwaoqQAnKPiIZj8ZZDscDjw8PVMsFy9WSwhXZneCmtb3r+wkt5wo3uTm6viccDiiteXx6YhgG1pvVhFNdLOsJGe/zMLc2jrZpqKqalKBt9+x2W/q+4a//+q95fn7m7du3vHnzNSFEFosaV79gv3vmuBeno9GaTx8/0bXSsOy6lrIsuby8+J/zLTDXXHPN9RdbMXnAiYMQOUv2bYvWhhQ8KkXiMHA87mmPB3EThkGiT7x8pAhaGaw1GCMiGCpOVDzILsBsfAHQZwaY3BwWaFAIqBxdYrSRwWatcbZAl2qi88hx3xOCYEL9iIMtC4lDk6laTM6ajDEyxAAkrDaMEW4gPWURQv2ERVVKobyIhto4jNNoq+U8i+BrQ0hoK/Qfow1luUbrUxzJaJI6pxeN+ZDGGMqqEnEv+Im4WBSOul5QlkXGoxYUhSPESOu7iY6ktESdtG1Liie8qwiwBUYr2rbH+z6TFqGuK8qypK4XHA5H2ce0AWsdrihouiNoPaF3tdaTO9M59wVmtu2kR0LS02PzfhCaRH4+pxg2pbDOydBwfj4KJz9Ta0VhLFoJ4bDrWvp+mLIt5/rDmkXIP1JKnbCrI0Ls5HTMmFUl2DA4uRlHp+LEXUZNauAoTp43wr78mWpyBPxL+X8pi5fOOfrmSN/1ElAbI0VZYpVMYaLiNGEQY/7JSb6/WL5loiHFSAqemKf6x+sYA1qnPKbpcUJzPOKHMDGfRwRsWZbi9tNaGotjUzK/YYdOPnfCrI5OBaWy+5J8nWOTUH5gijELg9JY9d7LojN+3o8wpeM1n78u499VAq81gpMWcTVpTVRM2ZdKIS6K/DXnzlVF/l1A5bRL6VKm7JwccWtKKYw1U8M3ZSFZsq8kd0wbgzUF1jpZgLzPlnU9WcdHpJv3ntaHf/Z3Yq655pprrv9pJWu73LuH3tM2HcknzCQcagpXkKolqMBut6PrekrrqMsapU2eDAwoo3HGYvKwkHgX8gBNjNkhBz6MTS4l0/TG0rYdbdugtMYVgi1RWjPEQEghkwEiWiFYGKPz5J7idATJWdB+AGNRUeODkqlKBUOQPISi69BG1iW0oV4EhqEnpDS5FX+cg50ndvIUocnNujAdzCbMqhKXRogho1bkuuXxh/z9BHs6xDCt/ZjMXoj5/yvJnFRJBr5GTPu0Jxr3T+OeK2NQps85w8X8eD/1xT4t17ifkohPI+v2+fOcK8XTwdEWDovGe0/X+wnVMh5yQJDq00EwY/NjChDDNFAUYyBhiClkETL/Xs4111xzzfUn17u3v8doRYqBw2HPxcUVySPYVF1iTIFSiqZpePPmDf0wsG2PGGe5ff2K65cv+P7tD5SLBTebNZdXVySl6IeetmsJIbDdbkkxcXlzSUyRi4vLnNVscaXD6MDgB/zgeX58ojlu6ZodzfFIioG6XrLbt6zXK9brDcvlBXVdEL0iZurQMPgJ3S441gicok6MVjzcP7Gsa1JMfHh/h0GxXixZLBzNfsBqw93dHc5ZyrKi7z277Z7lcoHShvXlChUgefjh+3dUZUkKcPfxgY93H4lOYwqL0on7u09oHVkUBevlktAP9F2Hj15OyD7hu56rxQXDtmW/3XJzec2rV6+5//yANgYfIibvn5Qy9P1AvV5SLxaEFNkd9jRNw83yFmstXd+x30t8yWq1om1btJG8TWMMReFo2lbO0nVNyuuw1pqLiwt2hy2r1YphGDgejwzDQFXVHI8HQKJmQgiCaR0GrDUcji0QWa0WPG87Hp8e+f33v+P66pqbm2s+f77j9vYFSmkKW3K5uUYnQ9u1wmAIka7ruLhYk1Jgu32eqFVzzTXXXHP9adUPPUZJxJlScqYPYUCphFYS85FSYL/bcnd3x9PTM4fDga5taJuGpmlw1kwOQOdMFuC8DKuqk6FozEv84oycS362DAQTE0qN61J2BhqLRvq5wUsPu+8FSzqeV43WWGchpmwscpQZc3o8Hhl8zBEf+QCeaTujQ9HakzlH6xOKdGy8h+AJwYNOaKNy9Jv0nJUVsl9Kcg4dcyDhFC9y7oQccy9HbWQ8gyulJB8TMt484oMMB41nc4CiKkkh0rYtu207xZqURTH1zvvjgb7viDGwWi3ZXGy4uNiglSWEyG53kCHgoFBe04eBcOZ4dE6GkUYxctIotEYbRUfABzVdUwhx6udrpU/XG6XHkbKRK4SALsv8M7L5K0W6rqVpBLtrzCy1/Us1PzN/pGKMxNwQSjGK4DQJi1k40+IYHBGsIbOBtTndBMg3ARABMZ66hlOdN8bOG2TTjW7KfFL5hpiFuNw0VAmM0hilMEqjlUzZT8YKlQSJmhV97z1+ENZxihJcO2UnkQNXrYiWU/ZjngAJIXE89qRzPJwS5+AQJP52DKadPoJM9/scBjsi1pRSub+ZM5Kyc1FPUyIKIaSJczOOuUwhOy3y5wR1eo7P3aXni8WUp6nEIaESJCU3HhO0iItZNNQjhhUEQ/eF80TlQ18CdBZ4IzGO7gm51ycrEFytNDELm1oDRvA5hXXYfIM6X9DO7enjxxiqezg0P9Fv91xzzTXX/7Krbzp8Uea1U0TEoRsYTE+vDBpNzKJkSImyqCBCGAZ23U5QID5RVxWr5ZLNcgMpcWBHHBIpi2dd1+N9EHx51+OcZETK9GbEWk3SDvJh4Yuco5wt4IOfxjFTTAQlLkKUDMSkSegbB2cyUyCJC98Pw7R22jy954wlhMDxcKTtOwYfvxiEEodfwqQCSKQUpnVqFBXHPcX5+hXDScwkxEksJCYZ+CGSkpfrz5OQmLxfMTo7MEXQjEn2VeT1e9wzpDii5OUj+iA/14dp0Op0XaNL1OOMAU7Z2lrpTGuIgnk1Mhwk+y4l+BzFhGQnJlBa9jIp0fddxrAYjJHpS6XyNGUmWsTkSUFeF2NMdqmKuKzlU6b9lcrr/1xzzTXXXH96PT3e8fjwwNB7bv7t3wqBprCUrqAuV9x9emT7fKCqFty+es33794SjWW9ueDmxUuWmw3fVhVP22dcWWCKQogGfsAZzdXVFU/bLfUicn19K0PBATYXF4Bm93wApTg2DW17RJM4HPa0jbgUV8sFm80FXR/ZbK7ZbC5wRUWIZAeEPI5xqj4EIeZIXtPp31EKPwSiGVhvany35rjdUxjL/qmBBNcvLjg+WT5++MSOPZurDTe3Nxy2B5SGt797x6e3H+mahkW14puvv2H3fGC3+0BV1zw8fGa5qri9vaZKmqHruK5XdMcWq6EoSobO03UdKUTUkDjuD9ikuFhsMBj6buBn33zH7nggamh7jy0c69WSoWvxPuJ9xJUFZVFzPHbc3d1zdX3FZnNJUnuGIbJ93lMtVplGkCjLEmMN/TCQUmIYesgDRuQBqdVynSlJEWuLvFcY8pleoZRkPhkTiNGjjaauC563Bz5/vKcoLP/uv/xb3r57y93nT9zevqTrOh4f77m5uaXzA56e1WqDtY7meEQpxeGwwxrFer3EOc1hd/gzvBPmmmuuuf7yqm2OEq+Re72Si5wwGsF3lxKN0R73vP/wjv3znv3zNucZdpmpqXHWSh6gFmdgjAmV/tDN9uMh1tO/I6Kg0ihNRpoW1FVFVS5IIdJ3XSYIDkBk6Fpi8ngfp551DELpca5gtVpRl47dbsdut6NtO4k5iy7jTjUp40Dlw2SNQPrtKEtRFSQSTXOk9x0oMEZhXYHNtICEIiZF6gcYhdIQvhBbJ7JA1+Us5x6l1IRenbCpwzDpACMxcRQqhzhkt6OIgz4NMjgUPMPQn/I2R/PSECbUaVVXLJcLlssl3nvKsmC1WlIWNcY4tLEMoWe73xLiQD+0EqeSkvxJoO2ayRkpr0/N4GWgOIVIQHSMMPhsVgKrpK8hvy8yEBbjqf8RY8qEJjJRMQ82zyLkv1jzM/NHKuRJ/RFVOuYxjvqh1hqlz9yRZ1MAPw5lVfnvIZ2chmOz8PzrxubfjwNVtT4HosmUR3M8SpMNRVWUJFJGxEV8H6bGn7g54zQ5Ob5pQjghUlP6Q/fljyc9RvFyGALBxynod/z/KSV8CIQYYMjIuCzORu+JebpgegxfoNQSkQRRmqdyH5dnWm7qYnn3iBODLFJK8y5+cd0/rvFxnAJ208k9Ml5fkDBZosZoYWans6YnOpHS+DqPeF6InDVb1WlaxhpDCBEd4oR1JYmb1Dmx5hfWEX2g7zpCOBN/OYXajhM01lpCil8sdnPNNddcc/3rq+97uralMAUksNqSVCL4QHtsGM8exokoVliHKuHoA017pGv7nOmnWC6WMr2YEBHLGNKUjZhIREKMGGdxRYH3IWNGPKAk+yGjP7uuFeEw41VD8DKZZ/TJWaiRUR6V9yZZaFMp5yzn9chYcRnG0SHofZ6MtLLG+kAfPM3xSIjiBCC7RmKS/Ipkg1AC0ogSl8GfYegnRMsowpHR6SljZEZXZAw+Owk1KRmUFj2PFCcki7JGpllTdnlkHBuANYaYMelMQfCCMFVeBL3oT+7HEQ0LGauaTnsxmSKV/dWY6ZyQ183kDIuE7AF9CFgr07EpRNAyfNR7yX8GqKqKqiopyxLnZGsdJVwEY3R+jkbh9nxS16MyUsf7SEgRp908PTnXXHPN9RPV89MDcRhY1jXOWApj2T4fubp4idaG3W6LwnJ984L77RN3z4+YqqBer4hasTseCRqqRY0tCg7HI7vtlqIo0GWJDzLAkhAcqNYaaxJ9P7BYOI4HcdwNOSNIa7n/d02L0Yqrq2shLJQVi9WKqq4YAiQlWYdaKZwzaKNp25b20FLXtbgqtBWMOFBYePPihseHZ37/j+9Y1jV1WTL0PZ8fn1AoqseSl69v+eu//gVt3/Of/tOvuL6+pm1aPr37hPcDTdNxe3XL3/37/wpS4t3v37F72vPw+YHBt9zvtlTacHNxiWLNfveMKyr8MMggUDfgjy0pJOIgQ761E3dm34lAWC8GvvrmGz59/szucODlxSvarqOua/oQ2e/31GlBWZZcXV3x6fNnHh+fWIcNZVmhlOL5eYcyPfViQUwpuyKlJ2GMwfuQRcSaBOz2e3FccuoLjP2aoljRZEdM3/e5+SrDRMZq6rpiu9X0fUfbNbx69ZIYI58+faAoKvq+4/HxkavbWzSy7zNGGtqyhws8PNzjfctms8GV8xo/11xzzfVTVDf0aK2wRkQ5iS4ZTSERqxWJSNceeHzQ7HcHjk1L8NLnd86hlZI4lXzWFRfliQJ4XufmlrFSSvnMLEQdZyzWuqmvG6P0dbuuEzGw7+XnpEhMObMwiMsxhEBVltR1zWKxoLCG5ih42VGQS+lLE8u5GxJk7RqGAbTHOI2xBm0NJplMadD5+qwgZKMM3Io4qv/gcY75jqPYOAqMIaNKVR7c1cZgUsJkJyJK0Q9DFvAGkk6TAKm0EopUUVBqR5/XywnXqjKatrA451gsKpRWdH1L33sSicVyQXFZU5Y12hget490Q0dKiePxOD2O8WfGGCfSgVJQliUQRQvIfYIYRPcxWnSOqOU1PBwOhJwXaYzBD4H9/oAxGqe15G4PPSHEPFD+L2sT/0uveQf0RyqEMOX8wWna4Qukav7LeNOanH/583/szlNJoVSSbMYJx3USIMfJ/R+794xV04TE6Ipr21ZuCuPk/Cg4eg9BcF/jJMEoQnZdf3ITnP2M0LVfWM2/QJ9xPpEw0Pcezennjo91vAHHMLojR2paIvSDmAlG9yNjzO9JwByFxZgSTo9w1lHMlGc+hDgJn1rJ94jja/GjGi3o/9xiIQvLCe0mjV0gjAvXSWAeRWCJpsqfxwnNNjaFUafXRystQq0JIkKSH15UaGsoihJnLO1wzNkhvUxxGjO5OAbvp5u+MSaHJM8i5FxzzTXXT1FaKULv6ZSsLcFHCudyntEwDYJoXVIUlkPX0hwa/BBkWn7hGPoB78VN6KzLU++NZE3KSCQahc3pg0rJutn3Az6kyd0ouBTJLhY8asyDMBIor4wcIJSS7EafAikpcgw6kQgpolMQoS9GtJKBGqO1DB0hwl0YPEF7vB3wxhK8UApiVBOSfMx5VOTDiTHTeqfzxryPgTgiVrJgqZQImCmKIJqDrU8IVTI5IClC/qsmoca12sjEYcgZk+Rr0FrLMFhKJJUxtONeJZ4NV8Uo+x+tJ0FSpXGwS02Hyi8HvTTGGRGInUMbWbNDEKHRKI3W4qBMGWXRZ4SttZa6rlgsFvlwlg9Q0UMmX4xY1hiDYHCC/P+UJIckxPzzkgxZzev8XHPNNddPU6t6gVloVqsNy3rB+3cfePXyawpXMAyeul6yWCzEKdB3BAUXlxcssggZCHTdwIePH0kK6qqGFLEpUZQVHz59ou17Li4vWS1XFEVJ33vuPt1xe3tD10rz7er6CusSj4/3dG2LUpqiKCEZjsce60oRMxUMPuCsDBmNuPeiUFgre5EYE0rLoMzoSLBGc7VaQ0wsa8ll/PTxIz//+c/42bdf8XT/zN2nO4zWOGdZbTb8zd/+FR9++EwIkbu7zwTv+Q//4T+wrpekKL2K5tDwzdff8U+//Q2+b3m4fyQ0Lb/4xc948+YFw+HIoW8hRCpbYCtDszvw/PDEslxSFwu8H+gHT1k4Qkq0w0DvA9/+1S949+4dnx8e+Ppn3wimPdOKhmGgrGRtff3qNY9PTzzcP1LUFS9evOTFy5d8urtjuVphjeF4PGKwVFWVMasVPngOhwPWCb616QT5NvYFpK+iub6+Zrfbsd/vp72EAh4eHnBOY53K31caxIL1veDVq1f80z/9lhgTWlvuPz9wdXlFjCJmLpZLIMnj7xseHh44NkdWy8Wf+V0x11xzzfWXUTEJ7lOrMwNMylFj0WfDSWDoGvYhsd/LELH3wzSIIrRDGXIlBRnohemMPtYU03XWV57MRPHs3J57yN77aaA5hROudHT8WWPxXmw2IGdNl8+i1lrpU4Q8mJtEDLTWTCjUsiyxzmSxM00iZAiRhJxRtTVUdUW9WhCjkATbvpEh2ZSIfqQGgtZmEl6nSLpco6FnfMzDMGSseiDEiHOO0lqq3AtfLpfUmfCTtlt8CLjCyHnZWWL0FFoL0hW5hnAUdP30M/NLkIi0XYd/9Pgw0Hc+i32Oi41kU479jvH8PwqfxhhevnzJZrMBxKF6PB6xVmO0PPNZaJCYPSOUS62kfxNM1j+6jsRIKNQMfU/TNKQUqYpiojTKgBMMZ8arub6sWYT8IxVCwGY7sSC75M1/Lp754Ale3phoNXGHR1EOIPjAkENOlVaknMtI+sMb23kI7HhjHCf+x+85Wp1Hq7TRJk9+RIZhIAyeyjrJUJQLFeRpzDg0BPuV0uRDRBubOdbCsPY+MgwNzhVn4mOfm3oipgmGFHxmPfson4cSRwFKguX9MJC8PJfGWWzOf9IJdFITbzkFaVaqBDZpkhamNGc3eTtmNWnhe5+H5J5j7OC0QIz/fu6KsJkFLeJiZBgiJmp0jPn7mhxAmwXn/HjH6Qc4BfVK2O0p9wmQ5yYkUu9RIaGMzqg9yb2IAYYY0NqyWq7p+laeS+/Z7/dTvoWryul1Psf6zjXXXHPN9aeVSZoUYMhCmkFByLh10coIMTDogRg8++cdx0PDYrHk+uaSqqoIQ+Dp6Yl9c+T+6YkUEouyojKVTMTnw4kxlrpeCBLUOS4uLjCvrWQh7HYMfaDrO3zXyZqYRUhbOHQy+BjEzYisbcF7UvCoJLlTJilSCKSg0MHIWhYzDpWENQ4QCRAtlAFx4csBwaLpvKcPAVs4EiIiphQZWohZHLNKE6PHKqiLkugsMUXabsibcRki0koxZLxJ9B5inNyUMQR8SiQtouO4TxkHqU5DUOOgT8IPHn1GLhCBki+Gv0iJnAoyYWFCCJLVaewZDUFef0G2Buq65PLykqTl0DX4IV+vnQ4TfhRVs6BaVxUpi4XDMLDf7zAmZ06kwCi4ymFUT3uccXiKJMLz0PXiwjzLI2HGsc4111xz/SSlPBRlgUmO3eOBVbXh1e1rdtsDu+2RqlzgtGH7/MTvP77n53/zN/zsu5/TJU/vAx/uPvH4/Mxqs8YYw6vXb4jeUxYlSom7ryoX7HdH2uY9i8Vyoth8/vxAURS8ef0G6zT3D+8JvsdZTe3WfPfddzw9bek7T73YoE3B/f0z1aImJoMFOQdDHoDVGAPOyTo2DAObzYIQSu4+3tOaAmNgv2vww0Bd1Xx4f8e3P/uG5WqNsY7tdsuryxcUpSM0kZ99+w3/8J//QRyDCd6+fc/Xr9+wqBZ8/PCR6xevuNhspO8wHFm4gvcf3nJ/94jvenQKPN0/Y43hqXni8uKCv/7ur3naPPOf//7XrNaa1XrFRVnRB8+uObJYrzgOPeH5iW9/8XN+9Z//M733mKIgxkBRWNr2SL2sBIPfJ6q6whUFSRvatmO1WvHq1Suatp3OzMPQ44OfkHFjEzalxNPzM0VZstvtqaoK5wr6fqAoDM/PW5xz1PWCtu0oS81qtaAuNT+8/R2xjzw9PVFVBTEmiqLk7u4e50q++/bnfPjwkXfv3mNcyWF/4NXLW5yT3ymtYXOx4fPdURqTw8Buu/tzviXmmmuuuf5yKmmG3hOGkB1vFqMkfmtZVxwOB/quQwPWlJTOcthJ3rDRcjZ02dSjUibjpUyt4cxI9CPnI5yMO2O/WSI3RhKhZ/AZa0CkLmuuri+4SlcMfS/9/K5lv99LzmDyxBipqwVVJVmLh2ODOzMlLRdLlAbnrORXFg6bz49CBpQM4r7vMc7gU6D3PcZrLpYbyqqk63tMo3naPtNnNKqxFmsUTrsJVQpyTm7bMa9RzugyfFuLTmHtmVYRJ8chQNd103OV8tBuWZXYssBZK6SlJI7Tw35HTHE6p8cY2R8POaNTcLpNk/BBTFhd2wEGrS1Pj1uhOylN0ifdeBiEQiAxKYmikNe6rkuGoUPla2zblq7r0CihDzqLyUPHQayP0zC0zhni1lqSKzgeDxKPN/4OaAtK9IGuP4mpc31Zswj5R8paO4mQY1PyXMgaHW8T1jNPN6isoo+NpxBlQgDImZAKpxxanYSrcbLgxze6UYBKKk7ip1i2AySyOJVQ0UiWIirjvchT9+IEiCHlHt+pyRfjGRI1wbm8NX5d02zlutMJxxqCOCnGd7nP7oMQQxYfmdCxQiEVu7XK3Op49vjkDq9QSaPyb6TKmYvi2ghnn5vOfBQipsZ0ysg4n9YYm3lfuCGm51myPLVRExZtbGSOjzXFKFiZbDNHKUHipTjh20Bef51/D8SJnh0NgycQCUnEVoNCGSXItaHHa48zVj6cXMsoao7XijE0TXNybBiN93OY/VxzzTXXT1IRko954l/ltUtQ24rsCszCZNd3pMSUiSBB7hZrLKvVCq0NReEZ+oG+7fHtEaMMNjvfl6uVuC0SDENPSoJK3VxsWK6WHPZHjsdGcGIKGXBKMkGvcl6iH3MMCpcHdL5YaRkFMnHnB1QIMkaYNFF5OQcphUoyDKU0GC0ZSv0wECMYZzOuTBPyoE+MAR3FuTgeclKKgnxFJgUVSfKWk6BnZW+RnZDj5yc1oVcn5Dnk4ShZh0PMYmIS52jKjkifMxdIEEPE+yCiq8/rdBYnfT8QvAiQ46FJWZUPNicCRFEUlK6grArWmyXWWoYgz0OfBhF/IWdJRQgJo3KGtVLUi5qQYh7Q6uh7cXCUVYFBM2Lix/3WCJg3xmXkrFyzchZtdX498+9fnNf5ueaaa66folTQxEExqMDQNLx8dclhd+R4aHGuYLFYoLWm0oqb9RJXFvgY2B8ODClwPB5ZrJZcXV3R970MzCY47A88755ICVaLBdYVFK6gqiqWyyV9PzD0kg9YFo7j4cDz0xMQUAkR1WxBHgWmqlcUriSi6Qfoh451WWCNYhj8WU6VrDXOaVLSQnEIiRCDuPK8pyxLXr54QdO0lGXJoTny/LRlvdmw2qw5HFuGkGjbBpXXs7peYI2lLmpZ0bWQHI5Nw+XlJVW9oEuBly/fYK3DWsXj4wNGw7Le0LYNCc12eyAGzeXFFf/+3/8HPnz4SD8EFpsKYxSqLjk2DUR43G4JKF6/+Yqn7RN9s0dbw2K5pl6UHA57fPD0gzgMnHOYQoZzHx7uub69ZbFYsNvvZQCqLOjyIJcrnFAjvMdYS1WWDCGglObDh48sF0suLi84Ho/iikWcFXW1oB96np93vLi+4nK/IybP4bCn7zuenrbiJi0KDvsDfohU1YI3b75ifzyy3T2x3z1xdXVJVZV0bYNWiuurG2Lwkhn6Rcdlrrnmmmuuf23FkAjRZ5HRYpQmaYm+MlrhjGFAztDU46Dr6Wya8pCsVpLDbM6GVf+AaHgmRA7DMIly4kh0RKBpj6QYuby8xGhDDJG6XuCMY7FYUJU1Xdex3+1oUqKqJGewT2CMlZ7BYoUP4rQ7ZprCKQYuD+fmqLOYTVAgZ3uJUpOBX6tlsKfve/pBzrZKKZq2AzTOFZn8E6dh3XNTzeh+HP/tHPlqrc1GpEChoKzKSYBs25x96cVB6GMQ2lBZ5OgSx9C3dFng7PqOBBSVUAFDjisbB6dDCnSD0IQiMZOhpPsQkqc5dvT9QL2opms4jrF1WnN/f0/XdRhj2G4lD9RqjSZhtMYagx+ECmW0Bn3ScaIXIlK5WGOcXF9VVaiUOBxqWdP9QMrxM2PEnTUzjvVfqlmE/CNljaUo3GSxHicbyI0zrbVgukb3G/L/zvMHU0qCGhunGDLWMw1MSvppOv9LIWrMBfTe4zPai1HozA3SkAPZBc0i16OslnDVfKPw3ucpDDW5BcZMyFE8NajpOibhMn/9ed6l3PASvgcysnQ0GxsjLkUZ1hwdjBrIlnWtwYhjlAQx30Qx0mxEawzyfKqYhcAo+VYqC3xhbGrGnFmVBTt9dsMcr+XE4T7Z34GMt4moqORpSVnQjBGTkbAg/z65MGMk5LwpYwy4EY2a5Lk9v88kcqP1hHpLCL5VXgsRi6ONqEJhnMPZQjKyRjdrRrK2Qz81TY2ztIP/yX/P55prrrn+l1gyJDQO9iRSSBhrKFyBM1aGS5B1dQiglSHGgYeHBx4fn7DWsl6uWC5XrNcb2dgfW+77e/qmR+Ex3qCNJSZZo8uiICbJPGraZsp8uLy8oKoryqqgLAuObUPvB/Y50yCNWNM8gCOB6eMpSf5VBnUkY0I2wwNKRdB62hSjci6iSWAMWuWcqa5FaUulapKNKHeWB52zHZVCcKL5Z52W3JMIKRj2k5NRj4JjyrsBBSmvjWNecsrCoxw2Elq+PSpJJlaKkeTz/irJdGIaB49SzsCUySuCF/rCuHeBExXh/FBVFAWXF5csVwvKuhABMsrw0Bd5klqE0JgpCKOI6uOYBx1PmFXARXPaG5z9nimlcFb2lE5pjFayT8t7JRnYyrkhswg511xzzfWTlIqWw3PDzbdfcWw6Qqf4uH+gXtTsmx1XV9e8eHHD//s//ife/PUvWW821MsFUSu66Hnabbm9vsEVBYu6JsXI/ed7tFIcm5Zvv/uWFze37HYHjNZcbDYopfl8d08MEWsswUf2ux273Za6tBijWC1WaKWJIVHXK0CzOxxZX6xQPkrmUUp0nUzT6+yQL0vL4dDiXM1+f8zn9cT7d+95ffOSkKf/N1cbrl9u6JtAWTnKuuL5ecfD/T3OOTaXG65vL7j7+JnbVy9YLCoePj8RQ6Qqa7S2FHXF/d09bd+TtObq+pah71BKs1rXpO8T958/0dKTQmBRr+m7nrdvP/Lx4wPfffctr7/5GZ8fH3jY7bh+ccvN1SVmv6XrWxabDb/+zW/45d/8NZuLNXefP2KM5v7hAze3LyjLiu32mcura1LbgRJakcnDwIfDAZMbwMMwMPSDiJK7HUVudnrviUnysAcfubm+5eryms+fP3P36TNFUZAiLJdLSNIMNtqyqBc8Pz1TuBKlC5ytMsViQ9M0tG1LVS0wxnHYH/Fh4KuvXnN395EP796z22159eoF11dXdF3DMPRcXFxhzI6nx6c/3xtirrnmmusvqJSyqDFuAw0JCldSlYVgNTMNcBgGuqalaYUoqGDCk1ut0epkQBrjwJh6x+rs56lT/zxTD5RSDH0PRuJQisLJ8E5ZMvQDwxBIMU25w0M/0LYNRVGSEnRdT982GGNJiD4Qc597dCIqpdFGokWGoc/knYjWbrourc3Uz0dJrzwg7s4h50RK7yNhXQFAnwejrXWZAvhlT11rTVmWaK2nOLhhGOgz2lx6/gvqheQ4hxBou45+EBfl2Duvqoq6rifqYz8MdH1PyINCYy6nMUaEP63xKeQBYiYjUOlKUlQURUlVLXG2oOs8x+ORLsfLxXgyKY1Y1t1uJ1pCphhiHYUzrFdrAPb7vdCJQkTnIfNRA3JFwdXlJbaoSEkck+RBba21GIyGnoGzM/+PiJdznWoWIf9IneM8kxLXwZgTMLrTrBH7trXSZIxZzAJOAlnOTZQGliJGJc4CZb4QLMc3zZfoU2mGhXhCjxqlBGmqVG7WJZLKzb7s4AgpoUYUW8hT+EpjUATEnSc9u+zy1GJplmsIWaAEawv6vpebY74mkiKFjIAzDmetiKxaEVIkpDSJkCZflHKSBwnZ/ZCvPcZICulMmFQTj1mE3ziJgQnwSXCw4401AQYRjO2YnZgFx/HANtYo8CoFbROwTk03T2P0hM4TZyZfvDa9jygVgJDF2DS5Kk4i7emmbazFOodxjqRh8J5h8NPznZRMnfR9TxgG6rqkXpQUhTzf+/2eY9visxNUKUHb9rMTcq655prrJ6nkE7Y0WO0IyjPEgaEbSEMkmNOaCAkfvayNg+ewO0wTdlfXt9zcRMqyIuZDTkgy9TiKYW3bTpv3Eed9PO6lUVYUXFxccbm5RCtFXdeyfllD07UkpWi6FrILQCmFzw7HqJjWMFmD9ZQnGGMUJ6QCpfOeZHzgoiaClmD1tm1p+hat3bSWO+0Y8xiJiZjGjEM5zCidJdCUB4M4ESLEKZJO9IGMhD/lM2tC0lOec0Awq5AFyTy4M67/KuPotah0ZLnyzEvwJSLnCyrFFwNecaJUWCvZUYvFAm0VfZCQemMsygi9IcQo+wLyfsA5OZymxP54nPZsIYQJwdp1gslJGekzInLIh8qqqiiNZTCW6AOxKOTastirtJqJB3PNNddcP1GlYFmUFZfrW16/XLLbHbi6WrPbH7i6uKRtGv7xH3/DYlFTlhXWOPpuwNqCi4sb2q4n+MjlxTKLT0dKV3Fsjvzi5z+n94F//O3vJErEWNqm4+bmGq01y+Wawlienp64u/sMwRMCVGXNYrGkaVq6rscEREiL8LztSFqzXDjSMND3LXVdEWPP3Z000dq25eFBcX19Tdd57u8/89VXb3h5c0tZOPre07YD1st61/aBelmBMQzRc3//wNPbLa7S/OwXX5ECdJ1nc7Vm+7RDWYUrDG9+9krWJCI+RZ63B9arJZurWy42S0JMdL0nhp7Dfk/TeTbrCy6vXuCHwIf7R1xZsrq6xg4dD7stLZH15QbblTw9PPDm66/4+PETZWV53t/zonpJjAOPT5+p6iXWlQy+w/ueIQRQLUVRsVqtCbmPYJ1js9nQD/3kimyaVobKigJrDG3X46wjhMD19TWr1Yrf/e53PDw8sF6v2W63U3MypUTbthASWhf40JGSpmkalNrz1Vdfczjs2e+PpKhI0ZCI/PD2e5aLil/+zV/x8eNH3r59y2G/5+/+7u/4+PE9baNZrRRd0/+53xZzzTXXXH8ZpQ2lKTFaYXPsmdEGozRWa1RZQ4wcj0d2x4a2aQhjNjBglcRzSbyWE0KdEkTg2LOGP8SxVlVFWZYT/vt4PKKsobCO9XpNXVdYY1Eo+n4PwOFwZLc7QEqURYlbuOmsuqhX1Isqr1+NiIzhZARSSrHZbLDWsN/vxOWn9IQvlcgvOXc7J8SkZBTGalxhsVYTU6DznTwWhRiWUpxIflrrL2LnRpfncrmcshRHUa/re6q6kpcgD/eOfewRcTq6Jkd9w3tPN4im4HtxJtbLJZooLsccpRJjlB5H/t4xBgbfo7WidCXVsqYqF5k0UdO2HUXh2O81XddijOHiYn1mpoKUAiGMNEgF0WPNguVyyWq1onQFD9kxWRYnAdt7Pz02bQxN20+mIjmvq9xzMPkjZg3hf55f//9/rFmE/CM1ZgACgl01p0lEwWoZjDXYPHWgyBP5gD8XEFMUhGiMUyak4RTsOr5ByZ8zZj6OYib84QTG+LVyfUqcfCGIEJaYXALj9Y8lqNE/tAefY8PGiYuxhmGY+NJjlqUzMhHhrMUWhSDLVEJhYLxxaHFCqnzjHJG2anyzJiR/SyFCZBYbY3YPKi1fG3PTcXqs+caJEdekhMeenI/nj6coiul5HXGt0jA8uVbFkhkBg4oGpVIWiuPUvIwx5QzM/Doksf8rffq3c6eFyteqJjfkSQgWKVYcIN5HkkqEaKfG6ejiNMag7AnTq60hmTnkdq655prrp6iilE2ltQUK8INnv93nQZMwTbnFJGKesRKoXpaVhMQDZSW5CLvdjuNR0GZVUVOVFW3KmdDDwOFwoG1bUkqUZZHx3tLoUupZBl/GLIQUpsNQnTEkYyZkSpLBHLMKqPLhyWTkudYZez6Kg7IY5/0JIviBCIUqEJIMyUQf8KR8DQgiXHOWz5DdfirlbMfTZOK4VxnX+Zj3GTLgpGW4KIuB0uBTJyIAMhQVIRssE4lASsgAVUbGK6UnbM6Iox8PTUzkhHMxVKN1+gPSBAhS11or+7KcvxmDuElQst8jNyLH72esEdxOHpAyOetixPqE4DOWx2TaQppoF+PnSZ6EODiSleE27SwhpUy1kL3ikP5wjzbXXHPNNdf/9Bq6yM3LW169+Jqvvv6aX/3qH/jqm2/4zT/+hq6XYc+EZ315SfAeax2319c0w0Df9fgcP3L36Q6jNW3TYo3h8uKC1WaD0pp1t6JtOh7vH9BK8/z0jEJT1AX73YH3797zcH/PxZUT3NdiibWOh/tHht6zWF7gQ8TYAmUFhfr0fKTCs9s+c39/P61HVVVNAy1jFMnNzQ2bzQaHpe8HXCGDyp8/3zPkHGpXFFRVwas3r9DO0fUdvR94fN5SuILlqiZ6uMw4u64J4gwpCtquY7lZ8/6371iuN7x49Zr9fgvK8uLla9rjHq0sXdvhipr1ekMC3HLJ/rjn/umJclWzurzkef9M0LIPurq+5rjfY43l8ekzMXh++OF3LFZrbGE5HvdoI0g2HxJaC3EJFfF+ICTZ3+z3exaLBdfra/aHQ85jkq9br9dUiwXWGvpB8qHaVpqUr169Qmv5euccVVXR930WGzVlUdEPLcHDaiXI2bu7B6pywcXlBQqHYPpL9vsdv/jFd3z8+I7DYc96vcIPPdvtM7/+9a/xXjBvdbVkuZyzouaaa665foqqqxU6STSHUlpwmlETfCT6gCJhtUVrcyLOhYDCyLkrCZLTZOS5RLHJuj+eM38sRFo7GndOhqO6rokqUdhTJmJPn8+XkbIoiV7oOUIcqGiadhLsri8uub65outads/PDMNASoJJjVHML3VVU5QO74dpwHnsHSt1uj6tNdpqdGkxVgRCY60Ij0H66uPexrlC+tIx0fW9nMPzfmNEp1prKYqCYRi+wM+6qsRYizKapmuzu7Gj7Xu0MawXNdbaSdvYZvE0xohKiaIoqOuaoWvwPk2fB2RRVWhKMuTd579rlkvJxjRGU5aFDDeHyHb7lAVZcV4CU399fO3H53voe+qihAR6pBVll+b5MPOoKYQY6HrPbn/Ee481gsdPKaLSeTaoxRhNVHPP/l+qWYT8YxUDyWfBbLQ2j5USWlk0Bq0MYXTzAaBJyefDQSRmHOtoMQaFiiojUs8yGlMUHnEIORNIk8i/1BJOJN9+bHDlr9VKEZOahM6UBGc2qv0p/5zxTZSSYOckCxHJlkSarec2a63FCRBCyIjVEc+mMGWBK0qKqsI4K5lJMZLyzUIURoMhQZ4ISLkJKj90nLgQ10RS8gYmS3QRQbeR87FiCEQi1ugs7JGbjCICWzW+ZHJzP3cxaqVISmfhMMg1mnM8LYT8M1QYf7InofDaZxciWYBNqLOv1RnFqqKIriOEzfeBlAYSIh7qpHDanp7/KM3G0b1itCWGRN95Ygo5OLcmpijPhRbrd5HmG9pcc801109RdVljTV4rlMZoQ6gGCYgPQYZjSMSkCclTlI7lcs1qtcK5Eq0NT09P3N8/MHSSRYhSqFJJTpMPeUpO8gpFlHL0ekBrgysqhqHn2LQURZnzHkZ8OVhnicgmvR88TdfgQySqhKwM455AUO9jXoRkWmZ8ex6O0hpiUqjsuItARNEPfiIXxBAZ+h7rLM57yVww46FGEVM6bXM4YVdH9GpOcUTCNmUtPU0gZqfjKLBFNeVvAkyr5ygWZgSKzPnkrOVMhYgh5p93hovNYqI8HSMiPYuRxqCNJgYmF6QxhhQDgx9kn0XARy8ZnPaEhh+/n7UWVxQ4YwQdY06DZOpsa2jy79N5DvW45o/5mCdhdcTO5udOiRM0xXmdn2uuueb6KWq1umS1uuBwOHJ398DF1RWfPt8xhJ6mOxL7wGaz4uL6AlNX4khY1jx+2PHh00f80LPebEApjscjbdPw8uVL1usNISm00mwuN1xeRmJIaKDre6y2NE3D/edHnp63OFdwOOw5HvcoDOvljvcfPtD1nuVqQ3tsKSo49h1lvaA7Hvjh3Q9sVkt0Fj1vbjb4kDAGPt89cdjvub29YbGsIcFx27JYFDRNR4oyEH08Htk3R77++it2j3s2mw23L2+wVvHwcI9zVrKStEYlg9GG46GhazrqaoUrHW/fvcMZx/rqgqZr2bDm7v6e3faJZVVxcXlFUVb0/YAfBg5dz2Kx4Pb1azah59g1PO22tH3HYrniefuIs5bLiw1FWWAXhqq2fP+uwfeBvu/o+p7Vak3bdaxWa2LwkCKldWgUfd+jrRsRUNzd3VGUJYvFIouIakKjR99PA8iD7+kHeX6M1azWS7qu4/n5ibIsqetaegQJjl1DCiEj4wJaW5aLNff3D7x//4Hlcsnr119lF4jD+54XL15LE3m7ZbVeU1cLttstD/f3LBYLNusNu932z/22mGuuueb6i6ibmxt2z080+z1GWbR2aCMCY/ReqHxoEppu8HT9QIwJayzaGKy1uXctZzhtND6oKUpkdA0qUv4TrDUMg58GWpbLFZvNBlSacollyFgEtEW9YL1cEZdyZj4eDoIU3x0FAzoMrL5e8eb1Gw7HPbvnZ4L3MhirDdaKCNl2rZxnz6LGjDbTwOuJeSTndquNnJWjmJWIKq+l8m+udNSLlZylQ6A5HiUeJZ1izOT5OcWaTHhWaymqEhDa4fFwwA9+EvjKsuBic0FVVRlHv+PQ7nOcnWRwpih9B3k84keCkUZoqaoC5yx939H3Xc7EVrRNjx8SKlmiz0Pku10WbuWMHYP0ZEbBeDz7j4jWGAK7/Z7Hhwe6tqE5NrR5wNhai3EW4+VPjBz0vfcMQyekK6VloDx4yrICRhKjiJCGmWr0L9UsQv6R0p0XkSlP7ketME5s1VqLm1ElTQyKZDQhhpzjOOJMFSGIk6B0JYvFEmft5H48ZS/mpmDw2QHgSURUdhwopSQ3MedSTtP+EUhBHJtRkGWj6BjS2AT1EFN+w2eRLgSCj2QWGiEmlLW0XUfbSrBriNKUG/yQnREGW8rhxFiLNg5lDdGI6yIpTVRasoy0BMWqjF3Tinz94uLQIy5VKYwSp0gMIedYRclJUlqarWMOlnwTAjJhQJ7gUCqgnIEc8y6CsUOhiAGiT5kTbihMFnVTYAgDSgtKF6VEKI6KYRBOtokaHQbGXKfzaQiNpSwKeU6MkS5iFjNHTFznxe7uh8BysaAsCjAwRC8YvRyGXNiSRV1hNIQhMnSdTHZYS1UWdF2DHzqUUZTFAqN+/Fs611xzzTXXv6Z0Xo/HgZWu85jCius8jmu5NL7C4FHaEWKHdRdcXW4IPpD8msPznl1I1LaiqmqcsaiAoMuzypZQRASlPkQoncWHQDMEXOE4+l6mDZXKU4hyjc46rA2gOlAWbWUdUYgrYBzwCTFAlAEdIZZrTCKLaVauxSjBi4Yxw1oTo+wVktIyYKMMGp0pBYmkE0MUxKxPEYuRfMs8+ZeSTFRqFYgqkvCEKM+ZRjMMPgtrQCYAjFONIjiS9xCQsvCnVaY7JC+TrSM5gMgwCp8xiLhqNCEoQka4RpXyPsRAlEzqEe8aU0KZfP0KrMuoOj/QhpY+DfjkZSpJi2PSZNSNyc9hiOAjaOS5TkqGyjRKsDtRoSIYBBlTukLGmvqW4AdC3xGMYPKVUvIn0rhOpOzenBf6ueaaa66foi6vX/LNL37O8/OWbfPEi1cvOcYDj/t7htjz7c9/Bkrx+fmedOxoY8SUhs8Pj7Rty8tXrwgx8unTHavVmsXtmqpeYIqKHsPQBbAFViWOXcvlZs1qsaBrBUX2/uM7QgxYZ1hUS6qq5ur6RSYWRKqqZLNZUZWOxaJkUTj2h4YKzcvrG1ISgk8aEsf9IA7H50cWixqVYL/dYpRkYIUh8P7tZwDa9kg3dFxdX/Lqq5coo6iXJT4MGBfljO0Dx+2R1XLN0+ct+92eVy9vCUNktVzw8cNHvv7mNd/9/Ge8ffuWJh4oneP373+PMlBVOScqRExRyeCW0tiyoCXhrOH119/y+fMd5WrF8/aJ43HP9eUVh8Oeh4cHFsuSdbVitbzga/Vz7h8+8/nhMyF4tDYsFksO+2dQlsOhY7WCm+tb9ocj0fVEpTDGIWu9ol4suLm54ePHD5TOEnzD5+0nFsslq8sXdH2Y3C99L43dxXpBUTt+ePsDD88PXN/ckGLAWOnvbKoNh4Pi2B7pu4b1ekMMnvfv33HYP3F5dSmxNqbkeGwoigVX1zWPj/c0cU+9qPl68RUf3r/jd7+/Y7Vc/HnfFHPNNddcfyH19Vcv+H9++J79YYvSK1a2ovMd5GxGnw/UfUxs257ntqMuK6zRWGdIOhGSOCblTzmvp4zokfitREphIvz40KG0yi48QwiR/b6hKh3r1UYyhrNYGGPCuIKQjThVtUBFGfwN/ZbQD1itqKuCuq4wWlEVjq45Sq60s6SAmIRSoPdCKIw+0HW90Jl8oiisnFUdWGWJRNIQUFlEDF2mKvUB3/csV0tW6zXr9ZqYEo8PD2yb5gtyUd/3KKUmHGnXdSfcaxZAxdwUaZpWMLJ9L7TBokQnoR0VxlJYgzcGrRXO2WyiSqjgqVyB73qSD4TeY4qC9WLJxfUF1tqcpekZuh5LQdf0BB2JQ6LZHSeSZNccZWjYVTgrgqPJ4nKMkim5WS2xWrHf7yHAw9MjH+8+0fc9RVGwWq0Ygkf7gabv8SlSaE3ne9r2CHGgLIwIuz5gjEKlQFG4ScB1xmYi5Fz/XM0i5B8pm50R2mh5AxubEaDimtAgNxEEZzaKkCcLr2GxKFFKSTNLG5SSVpMMF6SMMpNG54hnG4WvkU+dyA26BDE7FiWjiWnCIkZpaqWUSCiCJ7s1NdqAQst/K4VnNEBm8TIkfBwm50cImdscgwiQyqCNyXlTWkJ3tTTfohJ9UFwVgpM7eSLyVL9SoBNJK8G1ckpwSik7IfToDBXnRIiCKSU/dpApi/E5VCA5mFnoHHFz+ambGrhRAiMyYk3l106mIbTVgMKH4cxZoU6CosrPUpJJkdEJ66yE1SqlvsDW6vFniz1Dvmfy9F2PynlQhXM5ENhP+aLGWApnBQvku/z74TBWFjXB7Cba5sgwU9rmmmuuuX6SWq42pKE7ocWdxeqVYDd8mILfQ/DEtGDwPTElNpsNb775Bq0Mn9594LA7opLh6uqGsixpDg3H7Z6iKFgsF8S8jvgYaNoWHwIhRvrgaYeePgwMyeMGK5tnbTAZMe5cibUBYw30ekKLK6My8jPlTW92GZ6peiqJIIZOJCIkPS6RExZdUKtp/BdG8rvOKPE8+Dl9TZyw8/nnxnHPcvqQz2LCqKeYsnA5YknttEYndfruqNN3yTbHk5PyDI8/DvtMdPQRJ39Oe8h7H5Mzq0froTE6I3jzNGTfMoSeNnQMY8h80l8g6s9RrnDCvarzIaUfYdmttdNHShGthYIRQs7fiBGTCQ3jS6bI41RzmP1cc801109SpjD0fU9ZF9y+umVzteEffvcPPO23/Oy7r7l/fOTFyxcYV5JcSbWoQSkGLxP9nz5+pO0Hrq9vuL19IahzoK4XtEZjSpX/zXB1fcWisKQUqKuSv//Vr/ChZ7VeMwwdm4sLVsslFxeXvHv3nhAj17cXxJTwfsjCZWDoO1SCX/z8W9pOpu6PTc+vf/0bwcU5LWd2EkMvWVRlUdIeBhl+Xa24vrnGOkNVV5QLzcPjlv3hwPpizXa/Z1lXvLi54enhmceHR1KUwZuHh2e0EpTdq9cvuPv0wHK55NWrFwzBc9juGELPxWKF05rmcERpOZ8vlkuaocPHOOHZ3n34wPF4RGtwtqCuF8Q4EGNgtxt4fHym6wYuLi64vL6lXCxwZcnbdz9w//meR/PI7e0Lrq9vWS1qmsOOxwSL9Yom9ihtBKOnHTElDvsDxmpub2/Z7h75dHeH0kJ/qNfXJBLOuTx4JlEzPgxoo3n58iV3d3fc3X2irkuuNhe07ZG+73DOcnt7w3634+npgZubS372s695en7gw4d3uKKiWl2wWq/Z77ZoBbcvXvLsLM+PD8QQuLy6xGh4fHj8s74n5pprrrn+UuqQXYWLRY21hmPTEIOQbapYiuDoHMpowigwItSg8dCbksSAxBjxmU6otcZMp7t4Rv+Rc7hzJa6wKCzeR4ahw+hT/mEKiqqqWa3XWO14+HzP9umJ1Mdslgm4sqD0JUM/cPf5M0opQgj0OZYtxkif3X3OOcqqFuKRSyQj7sHj8UjhHCoVEvVxFiWSoiIMA8RIiCL9KESXsMbmSDPpfVtjphiz8XuEIJEyDw8PE9lHKUVZir7RNc2EhQ8hTN/He08YBprDgRSC9MtjpLQWpcEaM52tnT1dx0gQKoqCshQDl/dDPotr0WLQMhweIqofiDobmIJnvVxRLWqqqsquxWFyQp47Occ/90+7L0hNfd9PzlR9PE50yKKqsk6T8atotFGUhRNDEvKYQgioJPE9xTkmaa4vahYh/0hNv5SZP8z4i5ubd+TGmjS/TpN157l+4/eIMdJliy+Iw2B0Qp43t8ZA9HMb9JSxdNbwGht0xpgseJ2uV6HQJFS2YGcLgGQmeVHtYwg5TF3+fcgYWO8HQu8FC5sihZEGnh6t2FrDhH3TOZvhy0Yl5w05JA9KRiFGR4E6NTFDFFlSR4HPpkQMmtgHcQakJHTUjI7VJrs0UppuKlprjM5ZmBmZOr5+4vCQbCubOeFGG4nJyl0/ncZvn0ghQNKCSDMmNwXF0m2MOB9HNva4UJxe4/xn1jFNvsFOTeN8sx1viiGECQ0HMl3Stg2C/xN3yYidjUkWgTbM1u655pprrp+itFWAQwHaWZzRktkQI34Y6DqL7nv8MNB2HU0zEGPH89OWi80zzha0bY/Whs3FBa9fv6auFxz2e+7NZ6wxMsEItH1H23V8vr/PG9xeJhJjYPAiKqYUhUKgDc46yVNMOcVRqYwCRxyEUcYL8x8TxkSyGMXJJ4qeDC2N8h3IWjnSCArrMuJcGnmCPylxzmS0q8ro1zycM6JX1Sh68gX6VCmNUZpAPP18OCFJgRg9SmU0PTKo9OPBJJUzJUPMYmeQ3EaifAhohvz/AtF7gvenPZViwrGJSJjpElrjChEHQ/T4kPDJ44Mn6REBc8qRHMkTIR+itNby5xmqdfyaEcUy7gGdc3kfaLHWkWIihMSQAioK4eF0+Ml7h9NTNtdcc801159Ym8s11aKkrCrarufv/6//V/7x97/lxcsXPD7tePXqJWAoqyXrm1e8ePUa7z2Pj4/EGKnrmm+//ZbLq2s+f76nKAqWyyW73Z7yYgNAHAL1ylFsaj68+0DpHM/PTzw+fOKXf/03fPj4kbouOByP3L64ZbVZ8/z3v+LYNvTDwMe7T5RlxcXmksViyXqzwVpD2wcGH+kHTz8MWOf47udvKIqK7XZH13XYwrHd7TgePvFX3/6S1XLN8XgABZuLJYdDy+5zw83tBUVZ0PWDYMcODS8ub1lfrAiLSLOXnCSlFL6XtdRoO/1bXdfY4KnLiqFpSUNg/7zl0Bx5cXtL1/doa6m0YoiBoiopy5K2PVKWTvCpWlO4kq4PlGVNWVZ4H9jttvz+9z+w2qx49foVf/1v/g3ryw2/+vv/yPc//J6maYgx8urlG4wuaY5bvG9RpRPxWBmUk8als5ambdFWc3l1Q72oeXi8Z3844t9/wBYly+WJTDU2Xdu25fb2ljdv3vC73/2O9+/f8vz4wM31NYu6BqLQDIJQog6HA4u64tWrV/I4u4Gubei6jrqqSCnw/PjEYrnAasX2+QlIGHX1RT9orrnmmmuuf311XU/hSlIQIbHrBzSRpmnwfqAuK8kwzPd8ObKqL/rsCaZ+bcpnM4lG0WcDr+ShUundjr19rSLWFLhSnHCH/Z77+3tCinzzs5/x7bffUriK54dH9vs9yiOEvASuKFgqxXF/4P7hnu32mRQTi0WVz4PSGx9zGC+ur1CKKbt4GORPDXQkvD9lRJrCEKJn8DJQrVKcetNayyDT+H3GwdvFYjGJn+NzMH6uz2fscYhHMOTFF/1wdfa8DsNAk0XKsUwezB21jvOoOHlZ1CRAam0YBllrd7s93ocvELGkU8SKsgqXCparBfVygdaa3W5Hn1Gv49dN+Y75epfL5SQamyyexhjZbreTsFpVVc7VLimsozke0eT+wFm/fzQnee+JpBnG+j9Qswj5R2p8wyk0IYGyFpNidjOqLOwliBCUZA2klKbm1fimHL/X2MwCsFafsKr5ZjH+9/j55wKmT1HyFKcbQs46SImkDVpHkh5FSI22ggdLMeF9zpr0gaGTvKsxt2J8Mw69Z/DyEWOYmpOCXj05IaVbq1FZZDXGZCtkIgZpHmqlIWPitDYkpQicnJ1G58jImEB7sFaag/kNHUMg6OEkZObmZQoJfbJPyLpwNtFAEgyMiik3KdV08wZIWgneNSli71HWYKzB2pLCpZzpGL+4gaYkCNykAskEQKGiXKvO7sbJMZHzO8eboisLnHPT6zxmbo6vc0rCDZc/zeSQ1FqyLhIRV0hjWHESVeeaa6655vrT62n3RO0chSvwKRB84Hm/k5ze7IpPpCwGJrSWzJ+379/z8PAkmUt9IPiEtY7w++9F3AoBqzWL1YLLiwusc3RDL9kR1uAKy3a7BT+AKmXdJTFEQZl6DIMf6MOAGSw+SCC6NgarFY5IIGRxjTPHYMosVlkrRxciRJLWXwiC+T+ymJewVlE4h7OOqiwwJmNelXxPOTQEVDJnE0ej0in5j1qB1ZB0yrnW2RmoQWEE15pOLszR9CcfOcMhxrzXSAg31mfSAxACyXsZFspCZPIiQPqhx3uff+6YgzkeLcfhMEHtamvAKHwQtA4KrHNfiJBTpnT+GPcE4+FMBsbidAiT7JA/dE2ms2zIUcwd93dTTrYaIQ6nQ9Jcc80111x/eq02K4IKfP/+B95//MAPb3/g4vKGslry+uYblFK8fP2KZvAcjg3t2x/w3lPXNbcvXuScwSVt0zAMAzc316w3K0LSDJkoNLQtj90BZxTH/ZZDCHz//e/55S9/SQo9m3VNvagn3Je47e4wxuah1ERdLXLjTedcIzge9+z3e0IIvHr1iqurSyBhjMU5lwXRGpCm5PvvP7JYLCjrkqZteHo+YJ3jeGypDzXOFXz6dEdVVWil2O327Lc7rq6uePHVFYddw3HXkkLCOkdIiZubaz59uqNtW5KCqihlj1QZFpsVrihocgbW5lKcgMe24dg2WCvZUcZo+frcTO26mhCGfK4NWFOgtOV3737H02HH9dUFVe14/fVXFHXJ2+9/zz/+5h847He8fvWa6Hue94+8ePMNRiVCd+TQdtiipqhr1psLyXtOUNVrrk1Bcdjz7t07QghcXFzw8uVLXKYTETyrukKniO9aLtcrrPqa9x/ecn//mQ/9wGazYrlYsFgs8GFD3zW8fXjg+uaCsizpes9ms6EsK3bbHbvdHq0Sz48PrDdLvv76G5rjnu9/+D1lvfyzvifmmmuuuf5SyhjNN998w267pWmONM0RoxIxJvpeiHVVVVG4YiIGTRFe4vaQgdi8Ho35fzAmKwr3RuUD4/h1QiIMKCNZg2VVEoeefujZ73b4EGhvZN+QvOgDVVkSEBOK0wZlHHq5pF4s2O+3OR/R03Qtfd+L6cZpCmOoqorSOpxz1EVJ6AeGrsXmc+owDHSdmGZWqxWLeoE2imN7kH6zzg5I54TeGMOUXzmaoMqyPLkaz54jpdQk6HnvJ2fmZrPJr4EQJ8Ze9yjMjULnaODRmunrxz8VMe+DIlrJkLBWlr4b6O6fOBz2NE07nbedtcQYsvEIYu43pBjp+n4a8BURWkTBMQ9yfJzjY3PF2YBUUUwI2mng+OzfUVAUBUN2qYq7VAbFnbEM2cEavJcz/+yE/BdrFiH/WOkMFcuTFcTMZR7NdhnbhdYkwoQ5G9+g45/n/wbkN0EhzTiVb29KRDV5Y0wz/pO74azrlys3xEJu6imNyl8vCDYRIIP3DP0gYfE+4PvAMPhsmWYS/aJPOQcyZRu0QzuDcg7lLMpqcQ9mB6S1khOpJ/FUmohpFALz52mjJWtKjzf57MXQoFWSm6881ZIDlSLeB2Ep50eagqDxkg5TxqUaLfRKTc/7+P3lv3PC0jjJohQhiQtUXtooqN2kJTxWK7TRWD1eY8qYXPCjCyVCSJ6+68QyrnMeZhY6zxuHzjnqqsJZRz/0pJiEm52fC6O0iK75l2kYfL4ug5oWzh5XLNHGyvUakz07c80111xz/am1PWyhXqKtxg+Bvu3oug7nHFVR4JxgO8csQGMKWT8Hz35/YOgDKZJHUjq2z1vZ8A6eonSsVyvWmzUuH3xSigxegOjjIJExmpg0x+4o60x2M2olrkRrHShFn6cztTFYHMSMax8zByLZHZmHfDKOlfz9jNaSPJg3FaNbMGYnYdIabITo8V4Ro5nEwcR4aFOYcc+S/54yBsFmcVJpJWgUJeuo0Rn/Mg5NTcvkiG6HQJqQ8yQRENW4rsY45WGnUYT0nhTyRixEwjDIYSZIpseYw3A6PJEHjhxlWYg7MV/36DItXEFUZ7QJZG0fDy3GmC+QLqEfSOSBI+cmEXI6xDIOHUlupdEC9VFaZ+y97CsnR+VpdzQ7Ieeaa665fqJ69+kdz09PWFfQ+Z5XX33Fy9dvWG82vHj9hv1+z6EZiEBZFRhrMdZiXaKsKrTW/P1//hWgWK83PD49sT8eKcuKzkeWywXrZc3++Ynn7Y7nhwc+vH/H11+/RqvIfr/l2DQcjoL9qhc1P/zwlpgSv/juO16+fMmiXvDhwx0fPn5ks7kQcbLfsd09U9c1F5eX9ENPZUr2hwOLWLFc1gI/T4mydNR1KTuRpqeqK15srjkeW7bbLTc3N7nBaHhxe0PfB/wwsFwuMFpRL0oZpjIF9UJx9+kz+8ORm+sbri43XPlL9vsjx+bI48MDvh94cXOLK8vcEKw4HI4cuxZbFljnKFMAFXGFpet6tDF0neDonXMsliLEHfZHqhquXQmV5XH7wPfv3qNU5PpyzdfffINOkbc//MDd3XuG7kDhCoxxfHr/A9e3L7m6vqGq17T9wOOzZHku12uJdjGaxXJFUdYURcnbtz/w8PBAjJGbmxuWyyVPT08452Tw/MzV8d133/H57jNvf/iB3//+91xsNrx8cctyuZQYlbZhu93KQLbS9F0HSbFaLSkLy8P9Z47Hhv1hx2G/lyZ0teTqam5OzjXXXHP9FFW4gp998w373Z5Pnz7y8eN7fNdLrIhW01laKf3POiHlr7n7m40l+gwPKmkhGqWk/ywxJjEPA1mMLrJoFXBKhEZ1eZmHlzWPDw+EITIMPct6gTfhjPYjfWljDIvFgk5rgvfsds90rfSbja2ma22bhuD9SJHFaENRyDlb0Kk9xhhClEHloirwUc7IGBkKKoqCpODYNPggIp1zjrIsp+fj3NV47locfw6IsAtMw7qjoWp0Np4P847DuKN5x3s/GbSUUpNJ5/znDt7T+yELyQprZfCqcA6lwA9CQApB9jPee/aHg2gQWTAc13WfpA9fZBens47SFYQhTGSCsiypqmrCtI+PR2sZolJK0ShN14ogSkwM3mNH8mTWc4y1+Tme1/l/qWYR8o+UsRajDT4FESNjDnLPrjyV5M1vlEIZPU1VjDW+Acn/Pr7RZBLAfCFaAVO2Y5iERflep89NU5MrJsGgeT+afbOfITf54uCJXiYL5MPn76umJpn3WSz1nuQTxhpB0hUlprAoZzFlQTKKqHOzUWu0NfJ4c1bkaBdXKk2NyVFHjbnxqp07XXfMDUelcDo/P7khm2LA5HETPToZGbG1IiZGlSacnFIqezBOAuQ4qSKM2JhvRlpyqYK4OazWRB2JKqBSlKmJoNCZS220knwJZcR1YiCqPLURM4JOnyZokvpyWqRwLmPupKkMwooeJzBUgqA1OkmOxhDDhLdLQVwkiYQ6HEFJU9W6wBBnc/dcc801109RQ/AMscOHghgjh2Yv61qM+JjQIRCVIiUlwyABisKgXIl3gcEN7HYHhkEOO846CNB0LfvjluftE/rDaerOGENRFhJGHwI+50r0fpDsYH3G40wKpQaKIqC0JqQkA0Fq3MzbnBmdCHk/MBFQNWS/IXlxkgNUUtl9l/cTQRwVgZB5oEEEwXFvohQYjTKAVpiciyz5ESpHOWdM67jXVgqjbEaLJow+oeWn3OSUSEmTksrocSacPZlWkD9TRMkYM3UiC5I+QM5KVjGIOBnEBammrIfx8KMmBGtROMqqQBt5Hsbc55gixjjGnA9gOoT6PNF4jtoH2WOpdEKvaq0ErZsnJEeXJAoskmWttYiQkZgR+lEGk5LK+6dTJudcc80111x/eu2aHdcvrrm8uuH9h48obXFVxeXtC5R1lMs1RVGhjaZYVGz3/1/2/qtZku3K8wN/W7l76CNTXIEqoFFd1T0kzcbG+NL8/m/zMD2cLlZXQV6ReTOPDOlqi3lY2z0iwSoDrYEmjKAv2EGem3lOhLtHhO+91l/tMVqzubpiuVzQDMSkakbvPS+vr7z/6j273ZZPD090bcPt9QaVPPvtE99991vWixl92/BP/+V/5en1lfXVFSElbu7uxdbUWu7u71hv1pzqmufnF7pMEt5/OGCtY7Vcc3N7g1KK1VrsX4vSsLGrrIJUdJ0nJsmv2h0atNFsrtZst1uarmG9XkvUSt+zXC047Btm1ZzCyayhOdUsVnNAsd+d0NpkgHDOw+dHmqw+sM5hrOH+/p5Xa3l6fOJ1txVSMPDNN99gy4Ltbsf+KGDb6XRksZqjFOz2OxaLRY59CVxdX9O2HV3Xo7ShKCo8ibu3b7l7d8/T4wO/+fWv+P33P/Lw8Jmv3r2lKgu2r888PXxm5z2r1Zo5iufPP9HVJ95+9S1FNadyogj59NNPFLMZrihpmp7VesVqtebnP/85j4+PfPz4kePxyDfffENVVdS1WKkOZKPlcsnr9pmyLPnFL37By8sTD58/8etf/5qrqxVKJVarNUqL7V9VzQlJ8fIilr3OGGKM+XFe+P1335NSZJFVL1NNNdVUU/3ppbVhNpujleJw2KPQ2WlO4azFuQJj7FkwkpWQcJ61j2AbXyokU55r/2GWoIBpKrsj5jl4TGDAKE1VVSLGUYr9dgeIw9KsqvAq0DYNfddhbXnuG6UxPGcsei8ujFriwHSeZXdNizISqWJzTNwA6A3ue96LbbjqRME4kGPHTMeqpOs7fPDj7wzWql86Ap6B2Utr1sH5cVgvB2zhsl8egMnzY8q1GuxP+wwcnt2F0hfnoBC1qdYS3yJ/6hEj+cPjHPIrB0Dz5uYGZx3BByGHuygEb23EsUlrooqjPeul6vFSzQnI+ymKi2Tf9xkIVQL2Ak47IWrndV8cnSYQ8t+qCYT8I6WtxVpDDAKmoc8DM7JFJkqNwNrwRr3MExofa8z+Y2TZDT8zfHAuPZiH3xllw0lUjcPfp3BWW47juvyhjj6igyaGlINyPX0XxMpTC2gXEiO4mrRG2YS2BlcUFLMKV5UoZ0cAUqxfI/HCjlUpUUdCnplCzmHK/57BPxm+GVEihgy2AQlFyHZkWmkBKr3G98PwLksjYpTrDCgjN7QU80KiNVYbdEznjM7h0VPKQ1M1XsM0SOm1JoZAHyMhqx8V4K3BaEVZFFRVgVWGPoI2mj72kquZzyOF4TxESWGskUYt37SG16fruvFGOcjBh9cRsu1v8CMLBxIRaSxD6DHWYKwmIda2U0011VRT/ellnTgI1O0pe/gHCutIJNqupes7Wb9QxC6K6yiyxhsna1zpexIJ3/c4NGVp8aGg6eRe7r2n7dqcr2TQrR4Hd2eGYSQpsUWPMaCTGRVyKYkdrLIGEzXEiHNGohFzc6BiIhDx2UbGKUUysp+wOQfZKlFNKsS9QadAnyJaK2yZGw+iAJQhoowVoC7GzOYT14HQhzOzUdvMNDXEnG/pu0DbeiBKJmZZyrmOzgsZoDMCrKaQUCGQouRqaxREPwKSKXr6riP5vBcIQdb7IKBp8gG8F2NYrUbA1FkHDK4JA4lLrqUPQRSeathviQXbYDN/uX8bmJuXjRfItQ8xjGDj4HahlMp2NsLOVD2E4NHKyH4rW8jIfknOQWtNoW3e25yB0Kmmmmqqqf60evv+Dde39/z00wPRaK5urvn2b/6War7A2IK5MrS9RxtN03X0wfPt3/wCox2/+e1v0Mbwy1/+kqvrK15f91SLirJ07Pc1q9WKFAOn457PH3/gV//yL7y5v2ExL/npp5+Yz2f8u1/+kj4EtLG4Uv7+dDoxm80JIVAUJW3TU5YyLNXasFquaZqW+XyeM5ott7cb2tZTFC73lzLwKgubVY4FXeMJeO7fXfH4uOVwOAr45wPHQ0tRWPpGZgnWGPTc0dQd83nJ627LfDYjxsj66oqYoDk1/OrXv+Zv/uZn3N7est1uuX/zhmo243g4ErzndfvK//cf/wvr5UrWQ8TyLaXIy8sLppBsqu1hi1Ka9dWG3XEPKHEK4jxf6ZqeLnRsrq75T//pf+HTTz/yL//8v/GP//hP3N9csd5sCKFnt33l4eEzxfbAYrHm4fGBuqv52d/+AmMUrW+xWqGB0/FI0/V0bctyXRJCz+3NFYrIDz/8wH/9p3/k66+/ZjabSfZk6PN6LxmTTV1zPB4pipKvvvqa3faVT58+slotaJsTMXnm8zn7/Y715ob1cslPnz5Rn04slwu0Vtzd3vPzv/0Fx+OBT4+f2R+Of9HPxFRTTTXVX0uJ5fgJq404yWTysDEGrWwW4DDOXwdRzCWQNfZ2IRCjOYNJZPBMS5zGZelhxhyH/lIcCkHESUbrLBjypACumuGsJbQ10QdiiHShPRN/UyT6gO96nDYErVEpYZUSh8CMN5BEhXlGAKSdHMVQWtEHT1032MKcsYasGhxwiEsA9g/Jtpe5icAFuHl2dbx0fhx+drBYHZ0I8+8Ozo8CNILEuWQycmTM2HTOCDk6yO/HAEpZnDuLuBTiYkgSO3ylzj2zNYaubcU9MAuLhj8VCJaSQWijNd0f5F8Oc/tBsTkcv2A1nhDF5ejymupK9gree9AKzQQ+/rGaQMg/UgI4iSXrQMw/qx1FFaBVTgc0+d//4AN3idB/idaL2tFkdJ98kxNLL7FPU2ix58wAIEnsQFNMWTWZzkrIlEheWJQxREwwxJBBuQQhRXwMxCDS7z4GfMySdC0qj2QMyRqi1gQ1WKwqsZvV+ZxNVmE4MzJDRLQRUdliTvIg5QautAxqA0oyqrKiNCXkugYwejh3S7IK44IMQxF7M6JB24gBYr75DSqOEKPI5dNgYZaHrKSRgJBGnzeVX0cZQuZkT3n+/D0pkbTCAH0GVEOKxOizahKsNdnOLQ9VUwYiEdaHNkYAzgxWDp7SkoepCTB6VA9A5Pk9MFjy5nNQeny/KfTFz0811VRTTfWnlDVZnYZsSHVe07NP55ivOLQdKf9PxawGVFCWhdiCdBo7NC0mUc4KQOxClFGZNagEhItxtDeNGUQUF4HcYDCoAZUo/JJsaaPWGHVexwar1ZgboKhAIUBf8BElPgJAlIgL6Y0YVxQla45SoHQav4cc9ZyBuxSGNelcKqnsaiDrq/cDmzCNbgGRhLODTUkSy3WVDz0FAWNTgPErXrgWeELn8b4V0o8/50LSe/A+W7F2xL4nei/Zk8qSty2Qz9GYATQV9WtSGezMKkiUOB04vgQd4ZwROYCQXdcRsh1sSpHR6uDiZ6012dI2Zps2CHm/lfKeLBu/yjVHEdWwC9EjW3Sqqaaaaqo/rUxRsjscSFrx9c9+xi9++Xfc3b7lcDqhjOPx8Zk+BK7X19Aoyuhpu462PZKAN2/fslguadoeVxYDF4arqwVdWVIfDzw9Hum6jm++/prNakGIPW/evsUWJZvrG55eXri7v6fpGnb7HcfTiXfvv+L27g7fe6wtmM1mVFXJdnuEpFmu1uz3r7Rty2azpm4arq8WOdJELMCbpsVHmFUFoKhmJSlFmrZjs1nJeprUaDfW1AGtEqdjw2KxICbPYrngeKq5v3/Dfr9nfzgwr+ZsNhtcPi6FYrfboZSirmuMMVRzyaK8ub/j9eWF15dX9rsdvhOVwHw5l9+159mHMZb5fMbr62vOgMpDzgTGKhbVnMPDnuQDdze3/OIXf0dZVHz88Ttenj/z44dPOAdX19d4H6iPLU3zGaUtbd/ig+fbv/k5zijqpiamyHK1oSpLjqcjr9vPrFYL5rM5pSt4c3fPy+sLnz7+xGq9oixLnHO02XoNo7PKZkbTnAgxslqt8L5l+/oCRJSWa6K15tNPP1FVFfe3t7TLJT4EyrKgqiqapqGs5nz99c94eXn+i3wWpppqqqn+2soYw+fPDxQZyFouV+xft2KP6orRgnTorZRSI9F3+O9LgPFyfj/YsY4Oexc1qPvSCK5FNBKnUhYlrhKV4/Z1C0kxK0qqeUnqAsd0oG87vM89aAh0bSNkVkREU9oCYzSFdWL5maBrGsj/brSoI2MIQq5FsIeEzJmbpiYS8L6j73u0syMe4ZxjoWU/MWQnDn3uACxeCqOGazKQbi9FVF3XcTxK7uSl8rHve1wW5wyPXdfNKLy6VFkOz3GphpS/F5wlZadIUbZKvuRw/gPhuCgyGG0lV3LIzR6UjTFGTqfThYORHlWil685iEBoeJwYI03TSJxOTPgYsCnhrMUaQ1mW2MKNQqSulb2In6JV/s2aQMg/Uj4EjMs3LC6mcwPYNN4ADEnJB2j48Fx6Jw919lQWb2lMHn5mq7RhqJkiYo82ApMakzRJJyKR3nekIAyKvvd5EBmJGdiKPmJVQsXB+1pUhJ6ED5EQowBreVKnFGhbgDFEZ4lG48fhpKgGMWcrMWNVPu8hmDeSohavNQVKZRAy52ooI9mLMUVMNEQvSgBFIgVRRChr5XlIKGtQcQAFNcokDFmJkAeeMQQZ6qV8zQfrOYYbZf79KK/BoNLMokUuB6opLxgjwJwU3kcUmemQMxqxYh9bugJXlsSUJAA3CRCp8vUZVK/jTTSIvD5qDc7JjdR7Ygh5QGqojBut4YbBaFKBrmvluuXsyjDd0Kaaaqqp/izlCiOZjF4UbQNoNYKQAzkx5wdGZG0XPE8WFOsUShms4Wzf2Uk20GCxjkqIuF8x3ubzg2ulsIgFeFIDiQZMVh6SCUtRBVQQ9wEBCGV5iyGTki6U/jEkoo4EFUEFYYWGlNV/kHSUdR8BAxNkgFL2OUNGtYCbov5PaFQSYhHDupvJRykTomLKjgt5wU1RQFhRNA5W8nKtrRqsV0JWB4bsViAgqu862qbB9z2EhIlGsNkQIQZUjKhMRFIxopM0K3qwzCE3mvqisVAQoocg9jUJYbYqpfApfBFYT/79S6bnwB6NIQOomvHxhXilRwvYkXHLmdAGSgDIBIMZUILxPZfUkDkygZBTTTXVVH+OUk4s0O/fvuNnf/u3LJYrnl5fmK+WhChA093tNZ8+feJ0OjBfCHjmnPR51zdX1KcaHyNX1xtilPWx7z1d1/Dp00d++OF7mtOem+trQorM5guq2Zzbu3u++/CR+zfvubm9wTrNP/3TP3F3f8fVteQ8Xl9t6HtZU7WRLKGm6djtd6zXa/q+J6Fo245TU+CcpSg0fZ8oK0ddNzw8vrBcLtFWHB62rydIHQDz2RytNbvtjjdvrvnwwwO77Y50D6vNgpAiy9WM075jvlhwiLuzwkPB27dvORwOfPrpJ26urymKgt1hTx8CV5sryrLg69U3LJZLdqsVp8OBtm7o+44+dtLjw2h1aozicNjSds1I+Ikx4oqC0PfcbK4IPvDhx4+5f1a8e/ctX71/z8PDR379639ifzgSEty9ecN+t+NY13z86Qd2xy2RwN/9/X9EG81uf+L1uWUxX7NZLYjbhsNuTwpR+vQQ2KzW1PWJ5lRzOhxzjpTl+u6O3X7P8XjEGrGp7dqGtmmoqgp9c8Ovf/XP3N3fcDqdWK3WlIWmKitubm6w1vL0/MzT8xMxyl6FIHasV1c3f9HPxFRTTTXVX0t1bc/z0xPr5ULAtbnkDYtQR1EUYsdKEmAsxMhALx7BpxyH8YdOhjKjl34/5d79EpjTWotgKUkfbKzCGktVlmhrqeuG0/GINQ4SFM4RnICKGoVByMndqeFw3GGUZj6fU1pLUEaUfGhC1+NT5Lg74JxlVlXiftBpmrbDOIuxBcZ+6VJ4mbtoLtx+tNZY5b4A2f5VS9QLteilvepwnQZRzUAqGoC7AZz0XpwCjDH0fU/XdaSUKIqCxWLxhY3qQEq6VE6GEEeBVggBTY/VJtu0nl8Day2KhO8L1FxRlCXzuezlBPysOZ1O7Pf7MQOzKAq0yiCitZRlOWZVAjjnWK1W4/E0TQNGXBlt4XDGjha+MSWsFhJz27b0fU/rJ1ejf6smEPKPlGQUcQE+nr9PahQVyCjrDxD9yxDXS3Xk8G+zavFFWOsfftjhS0AzMORFygc1BVHlaa1Hi9BzjpMMD0lJ8qyUImkN2oj3sVagDMZmgFErlHEwKCGdBqtzBhTy71qjjUKbYdAmfzf4H6uYFZcxiHpPSxiwMjr/TjEqB1MQW1PJeAoCaBojWVQgHsr64iZvdM6e0uP5Bj/KHAXAjecsJSV3g/OILw5D0TNAmUIiauFXJKUZoco8GJWQW2nglAZVaEwyKGuRQbUGJZmfKmk0acyiUvDFaz8wNlwOwx1ea8iqC+dQKp9/ynJ/FUlYuq7NQOtwuuffnWqqqaaa6r+9ysJSaE0XBiAMtIuQzGgxrgZADVG+pZTwAsll9b/GFgbrNFZbQjBEIl3o8X1Pn3q4sE3Xg8I/pQyWKZRWlNqgTSa8IHnBWXd5tiUP2Zo8eQJJHEnzMQ0/K+Db2ZUh747xfU9SSrIaTRISlB5+g+xskLc4ClH/R2FXxpQJS0acAAZANkYEOMzuDgIoZgV/ft4udHm9D8SUbVASYHS2NI2EbMUaUsr5EimzsULe62RwOPvNiC5UFB0hq0jlOIbXSI9rvQCCWtSo5Iuj5ZqjzsQhg/2CsXnO5D4zQ+XXhxxIIQYZO2SEnPcg4hiRX/C8HxMzi/MeLcHosBEVeV+mMpHrYs851VRTTTXVf3P9+je/4+/+/b/n27/9G/qYaPqOpOHTwwNv3r7DlY6n12ds6Xi3eUdRFMznM5qmBxKvr1uUsZRlJf16SgQf+fjxA0+fP/Lw8BNWa+7u7tAKuj6gbeD27RXKlmhTcnf/jvVmxe9+9ytijHzzzde8fXvP8/OWuu5EMagUIUBZlqxWM15ejhwOB5bLBc5plss5+/2Ru7sVKamcVyz23zEGmqZGL2ZED5vNkhgDn356IvjAar7EasPnn1548+YGjeF4OFK3J65urlivl9StuA7c3FxRlIb62FF/rtm6Pb7vefv2nt/99vfc3d+zXC4xzoFWHNuG5rVmNV9w9+Yebm/xbcfnh0/8+NMPlLOSsizpQ8fr7oWnl8/MZhU+eNBnVwKlLc44+l4iUGbFnBADTXNit9tSn/bc3r9nc33Nhw/f8emnn2i6Fls6KgKddxyPO/4///n/zW6/5auvfsZydUXTBI77Z9TRMFvN8dHTtCeMt2gj1zsmTyJS1y2nuqN9bTnUR5bL9TijkYyxxGq14unpAUi8efOW3f4lqyxeeXv/jsI5ti+vFFXJYiHn8MOHDxhjubq6pul6Dsf6L/ypmGqqqab666hDziGezRY4Z3PkmRkVj76P1KeGuq7pui6TWxjnzFpYt8CXOYPACDIxztnP8/1L0moaGaZmjALr2w7fib23RkCs3W5Hd5K11mXRTdv1dE1LaHtsUeCUFhBSa4lb6Xr6ph3zDrWqss2owxoh8hTOUc0rirIgIJahPnqsNSiVvrBLbduWtu8IMdBla1HvPbvd7ovreglaDuDj8HeXYKYxhqqqspuD7JMOh8MIQg5Zk0LqzTjIzHF//5aiKDgcDnz8+JEQZJZgxxxPQ2p93ht5vA+cTifapsY5g819uOiTROCklaIqSqqyEnteH4jej9ewa1p836NiEmHRciCduZxlfQLO4ObgjlSW5XhdhgzLgMxW/OlEinGM3RuB2a7/7/F2/6uoCYT8P1BKq9Fta7gJyR+iJCANFm1fot1/6LN8mf8YY6IsytFqc1BHphS4uJ/lod4AQkIaA1c9RFESGGOIKKIax48opbNldMRHsWEdbFeV0ehhuKo0yghgGI2oHVP+wggImTKYyDCwU2cLVkW+cSvQRhj+Kg6AnjpnQmqNtmI7a1ICa7KSM6CxWfF4BtiM0ci38QwmKo3SYlWXYkIrL7Z0KWHQaC+DzZSynZ3KPtFa7FjTqDsQpaaPHpVBWpPZnuJOLVLUGDzRe1EqWo3SMQ+h5YZjrSVqsiWvDBHVkPEYI6nrZDCqFIVzAkQaS0yRwXTNKJ3l9KJwPL8P4oBuY61DaXCFPftNTzXVVFNN9adXShitMEoJOEhuJDLFSA9QY17zEqLkGwE7zkCVDNGyhUplqbqKmDfdAykopYR1TkxSL3L/ZD0wRITEk4WXIwAZlSgAI16sXI3BkwgDOxO+cGog25NffvneC3lKZwRMZQLSsDqqBBlYJUlugg9eQEgUylj0SJjKzztYr0YBA0NWM2pzQcaJAk7GEEhJyFMJ6OOZ8ehTJGbFZeDsUyAuCxGVtJxtJNu5B1QcnjuOjgcDoKiNwphzA2GMwRqLMgpttCgzTFYvWrHRHfZpQ27zsGe7zMaAc1M2K0q0EUBZmJPnnAxrDSNbdiBHZfLR8FrJ/jETzfIJn4HTSQk51VRTTfXnqL/9+b/jH/7D/0AicTqe0C5QlBXX1Yyma/nxpw+4suD/8R//I83xyOl44vHxCR+kJzPG8LrbcXvreH3dsT8ceXl54Xe//w1WBarScn93z2I+4/HTZ7Q1hCRg5OHxma++/hu0nRGT5un5maIsM+FEs9msxT6165jNCjSKuu5RuqAoS5JK1E1L7z3rzRxlNK/bmqoq0Eaz3R1YLCqubta8vOyk5ywsL89bFIo3b+55eX5Fa81quWS73fHxx0fevrkjxBWn/sTT8zNVJUqA5dWS+tjQd475rOD9+zccjw3H45H5/TXWWl5fXsBoVk5IuevrNc/Pz7J78CE7Eyictbx9+46QxEmgLEuqqmS+qPjpp49433E8veJ9L5ZzRclyeUcMojyJjqxqWdHULWmWeHh85epqzv/wP/0/ubr+PS8Pn2nqE4fDFgw0Tc3xdOK//Jf/zA/ff8/X3/wN795+Q1nO0U6z3+9QxnA8HlFKsVwuaZqGzWbDYrFgt9vRti0hyLCzaTpCjBitsVYcLp6fnoixpygsReG4ubnhu+++E5taLG/evEVrIwPvXlQfq+WKEBNPz09srq64ub39S38spppqqqn+Ksp3gcV8yWw2o++7MdOvKAqU1hwOB+r6xPF4kr4w93lwFgipHJlyqfKDoY8F1GAbes4PlL5Qk6Lmot0ToK9pSJlb6pwj+cRut+W42xE76VuNUqJwbDsMivViSeEcBvn7wao8EglBHPRK53BZxd+1AqiJwEX6YDmvJPasQdyGRhEUia7rMMYQUqT3Xtz2MtB2qYAcz/1CYDX0xMDYKw/A5rCeLhaLUTA1YBhCLlZjLz1cu+H3hjVXLNvNqFI02qFMxPcyG7HWCqE5iGqy71rEZFDIy8HLOSvUSBq6jFLx3gtYW5ZUVZUJSF8KyJQSYtdwnF3Xje8FybqWa3iZC5lSoq7rs2JUCdF5IhT/2zWBkH+klBJrr8TAhDjnH6kEIYn/clJnBvzAiB9uRcObeFDCnSXf+oufiTknMT88YtslH6YQAiEr+vo+h8rGRDKSbRhDIvQR34uNWYwRktxMfAjywY5yzBqVVQxyfmiTgUckp8koktFEI+cR9aCqSIx+pnnomRMeMxCpMoAnsvSUlRNkIHKwQVVakZIMbLUaFAzk3CuRVhttSaGXx1JJMiuzTD75kB9LE5MmkTBKoxAVi0pyk00xolRWFioBGVMSi7uxxlM6A5QxhjyUlddAaQnITSqQUNlSJdulJsnSHNQW4gku4LEE5op+hijBtdEHuXkPQPaghkhyw8yHkp9Z/m+wdrPGYoxFTyDkVFNNNdWfpYIPKFegjRHGnBrux4mU5J6sBzcBlcY1RQ8gnhKyTyCRoidq2byHGChnFWiNNXq0Fx9AOd/1+D5nLea/UykhPJs0KvfTxZ9DvnPSkRQCSUsGlLh86pyHqEZ2ZxrIOEqs11OKeb1RWakojM3oB5LSGQRT2R0ghiBWr/JMKC3HCooUB4AxZUvYODZoQ0h2zLbxMQORKcQzVhozfWuwh88Nku8bybjILELf9XnfUkBIKB8g9KggNqxoUNZgUZjSUZQFxlp0Dq4Xt4Hs/GB0bg4YnR2sNVhnBW6+aBgGABOk2SoLedyh8VpUMyDR9S2n0wnv+xGoFOuYlK9Tbmwu33gDSU2r3PyeXTVGB4eppppqqqn+5Hrz/isWqyXb3Y4+eMokbjOfHx55ed1xf3/P7f0bYkwY67DWMfTgMUX6vmexWFDXNb/5zW95enmiazsKZ3n39h1v3tyigNPxSN22rFYr1usNz88vbK5uWcwXhKR5eHglRMWbt/e8/+odIUa2+yPX1xv2LwfqumO5XGALR1IK4wwzO4cYOJ5O/P53P/LNt++oZmW2/1yhtOLh4QkfrlitFxAS9allNqt4ftriO89stuBlu2M5m3P/5pq6rnl+fsUVluX1kuVqzuvrnrIoqeuWorDsdyd875jPZvR9oGlbnl/2rNZruq7l9fWFtmtZrFY0XctytcS3MvztmxYVE1VZsJo5IRjFSF1b2q4hhMj1zRVt2/DwWFPXJ1zh8D6g0h6lDApD27RoI7EuVVWRVMAW1+yPW471B8pyxnpzxWIx4/7NLcfjkY8/fciZWvD50we2L888ffrM/f0b3nz1NcvNNaemw+Rh7GEXWa1X7Hc7qqqiqkrKsiCReHndUhQVFnh9fWW/3+bhZcGirPCho+tl2PvV11/zm1//mk+fP9DUR65vbynLkqaVfc3makOI0HQdj4/PLCeFxFRTTTXVn6VClLlr13ccDwcOhwPa6HHufjweR6CoKkohnDqDGYjCIYjzH/97J5qEuAHJXCCcXfqUyrauQr5lcAACUVumRFEWWG3wKpBUpD3V9G2HiorCFRTWkULEJFjN56yWC8l6rhv2+62AftnNZ8g/LIoClaA+Hgkx0PoWUzisTsToiCnkHlOcgULSJC2xMUZr6XetQaFHVwefiTbGOYp8TS6VngNId2nFOnwdj8cxZ/H6+nq0L70E5QYRzQDcOeeIMfL6+jo+xvBzzjmqqhoBztBDQlwfZrMlZWEhJfb7V46HHV3XZdHOkFVp8Dlfs+5azOBSqBS2cBRVRTlYsRrD8+srJEYSsihqZyO4eplf6ZzDe8Er+r6nKIqcjV1RH070XhwUy7LEaiMCrqn+1ZpAyD9SzpUYU9BHYbmHFDHaCPCmBFwacpks5NwDhTEOYzR971EqZx6lHJJqC1KCumtzkKy8wQcGgFKKQMSnQMhKgZStyXz0xBRkwBWToPweCAJkhn7Ih4JELx/4psN3HoPGWkOR8x2jNShXgDMkq+iTnJ8uNOWiwlhLiCF7LAsgqdGYwatN5+Db6FHKorVFZS9kZWweYGZPZ22yKjD/qtEywMURfS+qwyzE0Do/l3FZeTioG+U1MbaQHEkVScqhouRzKSue2mkAZb0n9r3kdiklN+AEIStR9SD88HlomgHWMAwBUyRpBQaSFRUIRhMhMyNF0YIRkFl0klCUEoCsCBSlGwHRlBDZdr55RSWorB+Gz0qJolPFnG8pGV8my23FNTciL/hUU0011VR/cmlDSIo+JPywNlgBDUfQDtBKY7WsWyHbjVauGhl2KSV8jDRdPzYjIXQYq5nbWbYmjQOaCGXB6QjNsSZ4T/ARjUUsD0ShN9idhwt20rkxAGcgJAHwVMoW6Mix00di6InanJ0MrCZklb1JDh0HK3ZNJGXGprD3ErIGh2wjqnNTFoOn0wllcjZk9m9VJqGJECPe9/RdK+rSHBWttQbtSMoI+zEGfJSsh5DVJjEkos+b/dgT/LCn0fgY6MIpKy8DxIDOpCJXGrSyOK0lJD5nTmkVRZlqJLfTOoOy0hT42ON9pLRC7lEotDJYLdfRoLHK4IwbWZz2gjlLStT1SUDevG8zxuYMTWhbjzSAKoPZFqvFxi+SM6SR91ehjSg/Y8CnBCHSdc3/+Z+Fqaaaaqq/wmp6z8fPD/jQg4ZTc+Bw2nM61fzs229ZLtZsXw90pcdZhfeRvm9lOJki+/2eqqr4l1/9Cw+Pj9ze3fH1V+9JKfHv/ubnOGs4nQ780z/9M0oljHOUs4rFas16tSHFnhgSj58+MqtWrJZ3pFQSfKRrI7ttg7UFfd/x8rLLtmYyPBVbds1mtWQ1n/PyuMM5x6wqqazBLDeUtkRj6JtICom69qzXFcuFKBTLasZqs0alhLKaqBx2VrBcLaiPDc5arldXeO85HA7seulTm6ah9wHnHHdvbmnbVmJbgpB/O9/iX3uqWUXhCvZNLUNAK4PKYr0kBc/xdKQoSxbW4neQkLV5vVkyX6057Pfs93sO+wPb1y3OWGYzAWP7vsN7QCs634FObK6v5Fo9P1HvDry5uyEGz2ZTcX11y8cPH/j0+SMqwel44He//Ue++93/xt39O/72l//A3f1bXPQE37F9PXLcOWbzJc8+4soS6xx932KtYfv0jM7OB1dff03ne071CZ8iy80aWzo+f/6Jrm959+17Pv/wO3b7T3R+T910XN3c8fbdV9TNkbYNfP3ttzRNx3fff/+X/lhMNdVUU/1VVNKJXb1nd9zRty2Hw06ARWOIwRO82I1G32M1EkeS4qisS0lBNNLbKk2KCZ/jsUor5OMYpddTRgQ2Cemh++ABhXOFyEmUzAhSiLSnRtR9Ebq6Q8VIoQzaSLRY1zSUaLSTNXM+mzGfVWzVK019JMYAJKzWOGczUGZE7dkcQSW0TviuxZRzqtmaxaKk6Xp6j7gQmiT51jGCVtiyQDuLLQqUbaGXvnxUv6DGbMhLwHUAZwc3oBgjp9OJ4/FICIHNZsNqtRoBx8ViQVEUco1TYrfbjWrKYXZyPB7Hfx/UkoM17PCzKvUoBEysCgFhB7vdlGcQRVlQlBbfe9rW04eID6KydAiJOAE+eKxSKGvwSXI4UUIcDz4QUvjCZtaVAjq2dSvnrgw+Bvq8lyxnkjupNBirORz2QsSKPVFF2pzLPdX/viYQ8v9AJRClQlbHxZztdOapKxRxVE3Kh/dLFj2oMfS1RdgRTdeN4CMwvukvwUg4y8Rj9CIzztZjAs6pUXosAzvJWYwx0vaN/F3Xk/qINhbykE6UjxasJTlDNOCURhOxzuEKly3j5LF0VjkarTFK5+si2VKC8RmxdVValIFa5xuDDEWFOZHPKQ9EVVacYAbVqICcWst1NCbnYaWUF4esGAmgUs5zMiarKXNTk5KoLFMY7WNHm1yVzWq1mO4ZU6CyMkMPMYzjqwVRaVGGalHBDLLqmJKoOzoZOne+z4NbjbJmVDyUixLnHAAhiJqTYYCMKEDTcMPPdrHyPsuVn893AbEqF0aLHt9TU0011VRT/SmVBttR74X0ExkVbMAIQo5KNhEXjuvBwJwbAtWz1yYga3oYrEdCtuFOjFYdYvcyiOIS0YvVqmLY8OuRaYmSNVdlZ4bzQjHYsJ99VyVvUkHMRqtJ5TxC8HFwBkjoZMSpIGa3h3xOkpWoRe2PytaomRk5XoMEJuUmIK+ZKZ73K0ESnpUCq4bzvNg1qWEXlRWB+bqSQMUkiscQUTGhwlkhOmQ+DDanQm6Shs4ai8tAoVGgXRrzIG0h2Y1aKzwJow0Yaeack99x2Z3i3HRdHucfZn1Hur4ZG6YhRxrA5yD6S1UpKIw2OfcyCMkpKTl+1IVv7jl3dKqppppqqj+9irLCFgWhFacb73ucK7i/v8dow/F4kjUhwmq1Yrlc0rYtP/zwI49Pj1gnzkJFUfCf/pf/RN/1fPr8ibu7e+q6Ye97lEq8efuWlCKL+YwQAvO5I8aA0Yrf/fa3NHXN/Zs3FEVJ24gSbrPZsN8f0FqxWi2JMXI81qQUWC4XGC1rSF17nLOsVkv2+wOn0wmjNSkpqlKGcqdDS1mWFEXBy8uRsix58+aeh4cn7u5uKEtH3UZc6bhfXXM8NLR1w6Hv2WzWhBA5HU8sFgvatmU2m9F1HbvdDmst8/mcpq25urni5eWF4/FIVVWcToFjPFCW0veKG5BhsZzT1g1ltl3r+h7rHFor6jrR+whKs1xdsVpf4due43ZP27S0bUu9r0FBWZWkkOj6DuMM3otDw3y+QMfIx08PBO+pyiKrV2G52uCco+8ajsc9r6+vPD5+4un5hcVyw5u3b7m6vkGlxOnQ0LUty/WGtjnSNDCfL6mKkpkraZqW3vfEaNisV9zf3/C73/+WujmiFGyuruhDz377wv3dHb/7za/Z7Xbc3L8h+J5Pn35ic33LbDbD955yVvHu3fu/8Kdiqqmmmuqvo3rf4b0QWX3fi/Vm15FSxOhzHweJrmslX9BaorFIWFjufxmcD88lhOQ4tmoqZTtBDV825LKeaSMOQ73vJXYlZsc/L73n4NTTtR1922Kso7BCOur7Dl9I/uB8PsvClZjd9mQW7LuAtYayMkQFPnb0EcrCUFWOWVWA0fTBi0uTSRhrGFPj8uAhxohxllIrWi/WqUZp8Gf7Vq1FTToAhIMN6QBSeu9H5eDV1RWz2Uxej74frVVjjBwOhzFrceiXB2VlWZaj/emgluy6bnQCLEvLYl7hnKgku66laVqM0UIQryqurq4wVrHf7zjUrYiqrBG1o1L0WQAkQjERk/V9L2rNIS6Pc27mkO14qfi8tGwdzkHOM1K4ArNagBaCcgiBmATUnOpfrwmE/CN1yQIYchQHf2aAIU0JRAo+/m0GIwcUXyw6B39ksS7z6Uup8/lnz9Jn7/35A59t38RyVI05TMONYgA0Y4hZhZhyxtIwdDwDgINNKloGjlrrcxbVIB3WCquFHaGVGvML9cBSCAJOSqbUkP34h3Zmomo0Wo3gmQCUF/LuNCgALSZFrDYYrUghnu/r6bx8aKUygyUPcrPNrA/dqLQchrope5wpslIhszu0kteTqIkqgM+2cukML4vtrihXVIoYJdkXZGCUKDegQS6e5EUWqXmC0hisES/ymBcgBiteZCCr8wB5CDoWKDWDtWqQag7vOwgJed2mmmqqqab6kyvEQBdlnfW9F/CuEmDonLGcCUF5zR425kMNa/RgM2KsRRtN6CVLKIYgOUnImlW6QnJ+nSMUBb1SiKcoWJP3HdqAymSeELIaMgNb8cIhYCDPZEBucA1IKYnVZ15DE2IT7of9AAkdLSjJSJS9QGZ3prxADnbjWtSfwYuCkYF0ZHR2QMjZGSFmtmg+58wiTSqvufoM2Km8qAlgGnOuY4QYIEZUCKgYUD6gQoAgOc3y+AEdB2cFlW1sFVbnbEdtsm2O52xnm5msSZwYtNJoZzN7UpiaDj3upYZGY9gPDBkZl81TXZ/G/dPl3u2SMTp8L5Y6Vlwxsro0DnuN/DwpyrWaAMippppqqj9fLVcLrLWcToH5fM5iseBwONA0DUdfU5ZznKvY7V6pmz2n0wGldGbzz1mt13z99de0XceprkkJ1usrHp+eORY1V+s11zdX3L+5o6mPbLevABTOsl4t+N1vf08IPfd3t1SzGcYYmqZhu93y9u09i8Wctu14enphs1lzd7eirgOnU4NTGu97tDbI2EZxe3tF23bsdqKUuL29YTYTB6b9vma5nAEl+/2RlNUeXdfTdT2zWYVzir6PFGVBVVVYa9luJQtxIFXd3Fzx/CznEWNkt9uxuVrz7v0tT4+vxOhRCprmBCiurq5lXWyOOCd5liHIYNM5JyTs/PgDwQokakTsTyN1SKxWG6qyo2lb6qYmpUQ1K9kd9jjrss1ah3OWsqxYLxasVmseHx/Yvr4SYy8uEBFm8yXzxYL5ck1ZLXl6euT1Zc93v/sdh8OBm5tXbu7vqBZLToc9kFhvNiRtqE97rCtxRUlZLenalt1hT9edWCzm/Ozbbzk1J15fX9jvjwDMyjkv2y1v3rznu++/Y7fdE7wiUtP1gZ//4u8w1nKoD6Cm4eRUU0011Z+jlJK5cfQh959fkkl1Fr+gpJcPOSIkhoC+6LvGeW5MAjIOgpkBgIQ8k04ZsJQWduSrcm66UyaXSkSaOCoJMdYIkJmkr47ajLOF00nW9IEAq8YGP5OFEee8onDY0uKTRH3peM4+vMw4jDGirR7PbfhzAACLoiCmhK/Fdj7EnuQjGgHgiqJgNptRFMV4bQaA0VrLbDYbCdmXIF3btiPo6L0f1ZKD3ekl/mGtZbVaAVDXNYfDgb4XkpYItCRrcj5fEEKi68SC1TkjrhHzkpubG5SW6+XDGbCNMY4OS8P7ZMiH7DrZZ5RlOR7TAH4OPf3wvTFmBCgFXLVfAJFF6TBGjiclEZ0JRjDN7P+tmkDIP1IyLBMWvsr3o2E+lOdf5xsFmal/AUaGIZ8xDzNDtgpNMt8bJc3ACCJeBuHGGIUV0PU4fb5J6qRHxSP5mGSGdwGQKo1SBgmjEmvRqDR+ANGG21lmc6R8EzHGyvCTwZLN5gwljVFG8heVApMZH9qMSkBRT6ScaSXDTW3l5621I0g4WJKRwGBGlaDJtm9KDQPffIMfoV5FUmIJqy2YPIAkJsTPVZ3ljNnOdAD0BmWJ0UZ8vxMk72WBCHrQueZFJgO4gImBFBU6GoyRa6oHAFfpbMEmYK9SoioJved4bARYzeG/xhqsycoTORMC59cv6fPgMQ3noZRI6RUEBclH+jA1LlNNNdVUf47SWgvwhayZsgltBTAU/X8mjiiMSqKWVFloiHQfdduMSsiiKEZgiotGIHifsyU1wQTZLyC5zkY5tLYYp9FoQoz0weMzqDcshCqDdyqviZeb6oGokkalIyMAiRLXgpAt3nNXgw4h505JPoQmc5CiLJBKRVRetoPvabsOH2J2Gcj2r0ajtEFrgyVJVmWMAkhmG5k++myxnnOjkT1ACBmszO4OKopljZCrhDUa+4DuRaUafScknawe1EYLgzXGbAcrxgpWDo/AlyAgyL7KmsxEvbBYtcZgs1XsJeAYx/0cY3M1AJWucOP1/7f+HBqYy1IXX6MWNO8Jh72UnRwPpppqqqn+LGWtywz6Tu73dsFXX33N8VjTNj19HyTjsG1ouyN93zKfz1kuV1xd33Jze4tSiQ8fPtD1nsViCWhuru+YzWbc3lxR1yfaY8tyUbGKK5yzpBD56cMHnp8+c3tzx/3dNcV8SUg5M8hajsc6D+EWzOcVT08vdF3J9fWK3a7HlIaXlyPee96+fUtRWEKILBYlXc57/PTpgaIouLlZY62h60SFuVpds9u1HA4nDocjfd/j3A1VNeN4bDgeakojg8SqqkYVQl3XPD4+sVyuMMZQ1zUA+/2B0NdybrGnKi2bzUYAzOZ4JioT8F1NF0FrhzGy1hauxFpxBNhsriTmJgSUsgTf0bWe0/5I4Qo2m2vWV9f0fYfSsLm+oSwLHh4+sz8esMZxqo8YYynnC968E0vV/X5L29TZNcHTdS22mPGzn9/yd//+H/jhu+/4+PEnTnXDr3/9z/zLr/6Z2WLBze0t2jhu7m65vrkV4lbcERPMF3MWyyXXV0teX7f8+OMPXF1fs1qvubm+g6R5eHzkuN+yKCuW8yXWzfjp02c+fPiJN+/ekmLkn//5n/jq629Yrdc8PDz9RT8TU0011VR/LVWVJQrodUPXKekttZL+MsXRgUilJI6AcQARZd6bYgKD9GIxjao5RZ6tjwIRxrm+ThpMyi53GlQiaUWIPVqJglA7l4mnidhLPx+9FyVlSuOa2bYNIXiMMfJ99BdOiQIGDpmQtnQoZ6XPjynP6jW99+z3e2KC1gdOp5qoFKUtRSHa9SQEPHTO5a+CEAMqJnybRU8JipyZKNbwAkIOisemaTidTsQYKUvJpz6dRP1XluWYp9i27UjSHgC6AdwTUdZZQDXkLcK517bWUlUlMUoMmQCIPpO+O0JAYuayPatRivl8TjlbUpYVr6+vfPz4Ed/3FE5AQt+L89UQjWYzuAhnHGYgmg+A6UA6V+osLivLQshTGYg8nU7y+IOiNLtb+piY6l+vCYT8o5Ul2CmiOaP2QkwQsEyEg5o8cxwtyeTNLCCiMTZbcpGHUhISOwzALtWQlzVYupbO5SGkPLvJYbJoRUz9yLgYJOSSIxXP9mmjAlIRjWRCKq1J+Xvyh80UFls4rCtybmMGXQdruFH1AFaJd7bOGUoCq0EKId+QRXFgczbE+HiASoNtHaKQjOeRnFzDJFNElQeOgg+elaha1KAKJYpGlaXmOdsxJoUKMvQcweKsQtEmZ14lw2CtJ5NPUZDE7IsdIyQl8KdOZC/wwfou5zwllUHlJAuDcZnhAqFP9H3EexlcO6dQZbaz1QCDGkSuwyAFT5lJc1ZDqDHrK4RI100g5FRTTTXVn6NMBsacs2gVCF42zhpRywkICSQonc2/Y75Yu83FJnYAnYaNrOQbZvAqQVLCkFNK0XcdPgas1rL2RnlOEyOxTQL4JTIQyRdgpJQAjgPElbJlQMyAFoO1KhfAWH68gSmaBjLShYoPxJZWaYUJkaRlXYw+CLAaISJg7JBdqXNWdoq5oQhiIZ8yQ0prhQlalvokOysfvDhIxIRJSqxXc+OnM6FL92IpH4NHpYDOLFBrDFYbrJE11SC9oEHhtEEZsBaU1Tjr0NbkrEsw1mCsyexQyewOUWE02XJHrkmIHuUvlJPK5HVaUE7nin/1PXVWUZ7/W75JxBRGtejltVfZFUEUk1rypqeaaqqppvqT63g8MJtVmbWvR4Lr0JfXdU3bikrw6npGWTq0kUGldZa+7/jxx5+YLxZsipIYwbmS2XyGc46iLDjVRz5/fqDbLCicocCy22358YcfuL6+wTmDy/2nb3uKouD9+zc0TY/3nu12j9aK29sNbev5/HnLZrNkuz1wdSX2py8vL1xdrSjLkr6XzKSqslxdbTBGUdeDhRkcDi3GpAx2LtDacDw2PD6+EkJkvZ7T957KFuz3B5xzoypyuVzy+PjIw8MDb9++5ebmmk+ferzv+fT5M+v1ks1mQ9u2HA57FosZu90OcaSP9Ac5v+urWxlCIi4GxuhxaCc2bYm+9/T94HKQCDHRtB1Ka4qygOwWNFjCLZercQ6hleJYnzidjrhCBr4hKfxgQR8V1XyJtQYfxB3hH/7hP/D3f//31HXD9z98z+9+/x0v2x0/ffgAWvHjj9/xzTff8vN/9wsW8xlN27LfPXM8btlsbrjaLJnPKz5+/Mx+t2M2X7BabtBYPrQ9fd9glES+rFYbXFHStS3eB+aLOR9+/I7N4WxbN9VUU0011Z9WVVmSYiR03UhIxUh+XwiBqAXAEntWLRatoyOP9Jvqos9OMeZoEkWM6WxCl8gNdu6LB9fD7GCUYqIniVhGaxlA5xEz2VGoDwGd9Cg8itmGdFA+jjhCVkQaJfNzbc6RLL3v0UmhjKKwBUlF+uQ51bXkIUYh+lazOVabMV4tkRWOzjGfzQgx0vYC8hVFITPsbKc+gG5d15FSYrVasVqt6HvZs+z3kn84WLJqLe4RA/h4SeSdzWasVqtRXLXf78fzl33EAaUUp9OJpmlGleV6vaLra7TRdF1Hm4FS7wMh9BSFRelI1zWyxyos17dvWa/XdDn2LqVEVVUURUFbiyPDAHKasqRp27FvvwQdh2PVWo/zHCArIy3WZhFZPFvIet8Dabx+k7PRv10TCPlHalBCDgoEIUlkmE/JkE6M1NRos+W9z0PImNkTUiMbX4n9SDGrAMYPuPf+Cxb+8PzGGAzDgE7ANFLOa4rQxW5URcaBvZHf+NJkKVEqOIepCjCWZGRCp60V/7dsrWZsgXUlxspAMY62pgqUIaoBRJPzVVFQPJ1SBuzkJhnl4DFGY4wAmDkMa5Sxj9d3ADFTHgAiKgiVMqgZh3PJv0O24s4OdikCSmXJs2HQx2urMcmQVBAlawYhRyA0S6RVSmgbSMqK5VvKylWt5HezJV5MSrIjszQ/xUTU0tQMrIkUIRr5IWMswScS8vrK97Cw0lShUoZt5aQGhg0pjQ3yYB8n7z2dLQSmG9pUU0011Z+jpHkQ4En+JyBRulDOSWUXgiGs3LkcLJ9GstBgbaK1PtuwDkSgi81oyAxMn1WV2lmssRgvFugxSpJxRPKEx/iJCCFbwuqU6H0aJXWDI4P0ULIGZZqO7AcU2CRQVwTJlSZm2xaPzWuQznsUIQKRSTVagMT8PCGDhUIYCuMeqfdC2BqA1xhDXqDJhJ8z8zQlAflCbvwsOoOrCZsB2xhyE+Y9youaUmziNc5oCmtHxaDNlq8mA5TGaqJTKJsBZmPOa39WZSol1yoEsZUL4z5Drk2K4kCgdLZiz7nWZsy4PL9H/lAFeamYHM5XJZ3zqoY9nlzjURmZyNnbBmO+JKRNNdVUU03131ZNc+Jw2GVWvqeuG3a7PW3bQVLc3Nxxf3/PbOZ4ePxI7zv6rsG5EkXi6ekxD5dkYLZYrLm9vSVEyR0+nmpCjBwPBzSe9+/e8vnhE9uXF+7ubilcydVmw3Kz4NQl5vOSvhcbIqUUi0XF6VTz6dMD19dXLBZLdrs9j48dm8WKsnQ5O3LP8/OW+/sbQH6vbaX3XywK2jZwPNbMZhVVVeB95HTqCKGnqiqurpZ433M81hRFiXMFfSdkof1+T0qJ2WzG6SS5kDFGnp6eeHxMGfCUQW/TNFkRICoN6fcVx9MhZx8HXl/3HA4H3r75SgasKmFznqMMG4/ZsUl6ce89fQjc3d3z+vLKfn/ENjVFUVAUjuPxyHbrcc5htOZ0OqGsYb3ZcHN3x2675XQ6cP/2HcH3vLy8sNu+0vcp52weiaFn//LC9fWG2WzG//Q//o989dXXPD498fj8zE+ffuKnT5/4//2v/5nf/OZXvP/qHe+//Zr5YkGKiQ8//h60ZbVcc3214un5laeHR4wqmM/m3N7coZLn+emB5WpNUZa8vL7Svb7g+57XlxeKssD3HVU1gZBTTTXVVH+OssbQe4/vBQga+m+fATOVBpVbGJWJDH8O/RuMop5B+DO6HKbBaC/Pq3NPm1KUWXhKJB1IaJKGPkYR5eQZrlYalTTBC0lXYtWEhOtTRGkhtrrC5D6yoO1bOTdrsU5cAxOJpmvRSuEqy3w2wxaaQESFltOppmtbYnYqrMoK6yw+A5paKQorhKNZVbE/HOjaFpVgsVhQOEd7qkdVYF3X9H0vTgZFwXw+Zz6fU1WiNDydTsxmM5bLJev1Gq01x+OR4/GYRVhmtFu9ubnBGMN2u6XrOrma2eWxaZoRwExJyFObzYbb22ti8njf0zY9WvtRyRmCxOD0vkVrcM5QVgWrze0XgKFzbsydHF7fGCMuuyH5DAIPPzuQyf+wh4eBvKZGi1ZRPwomMvz8AEIOsXpT/es1gZB/rJKE3CoSlsFjWIaCNtuUhijsPqPk5iLMvp6+96MFzPCG1lnRdvkGjjHStu34Rh/esKP1alYZ0MoHhJQk9DYp+rbPdqgCjKY0gJ/9KCcPKaFVQhmDcgVoQ9IKrEZZh3YWZU0GAyWHCuNkYBeCKBhBsooQhqEKKYNxkegjUZ2P1+TwWlcYbCHgY0wenQwguZEaIxmXAwtlsD+LWYJIAqNlgKsZ2QyFtaQolrYRAUZ1NraLUSzutNYkLbarygLGjMHAAmAm8QAPCmtkoKyMRRnG4xBr1YQyxQjojkCuMVilR6n1cGzD6xuz+jVahbVB2Ju6EBVj01O4HmOzzDurHYzVaKdRWq5jn+Xm3ssCVhUV2ip87Ql+Gk5ONdVUU/05yhidFY5in6KKkq71Z5U8ec1GoYzB53t9ytnKSoNTJSnnHRZlKZaudY3P6khrhfhzzkGUxscMSkml8DEiLqZi620Lg7YVISast5LJGCIhZBuTnMmQYUbI4GDK9i5pyHZOYi0TUxTQEzmGmAFQjKxlg+0McQDGEqhI7EWRoAGrdXaQCaONaMo2NiFFUh++YJUmhB0qmdKK7IIuAGXIWZCZeNUj+c74RNd2JB8IbY9vW3zXSw6kk+xop43kP2oBIiFijaGwjsJZnDPys5UlqXR2a8hEH+OcWOpml4Vh36XUeW39wybjD1mNYpnTjvs1l/cGw+9+qSzNFRMppDGoXhlpCFOWriai5JKG3LxONdVUU031J5f3PQ8PD4SQaJoW38s6/tVXX7HZXPP+/VsZIslkkf1+y+3tPa8vO/aHA8vlmvV6KeuQsSwWc2LKll1Gsd+eeH15ZrNaolTk9eWFzw+fub665vr2lvlsQeEKUjI5fUSIszFGrDWEAMY4rq+vx76yLEvatuXx8ZGnJ8VisaCqKmIMHA41i8UMUGht8P5E02jK0qHUghAiu92R9XqZ848Sh4NkN242G15etnz69CBDwzwALIqCtm3HP4cB4rA+Nk0DJN69e8dxv0PFxPF4QGvNcrmkreucC51YzEqchpeXLd99/zuuNjcyAGQg6ySWywV1faJp2nGtXa1W7F63zJczZouK3W7HdveKNpqqKCkKBzEwKyucNRxPR051g/EeV5UsrMlDVst6vaHvex4fH3h9fmY2W2IM9Kc92+2ep5dX0o8fuLq6YrPZgNZcX1/xP//P/y8eHx/5l1/9it//7rf8+ne/RmvN3//9P/Dttz/jeGp4+PyJq+sbbq6v8T7w+PiJ5XIFCIh7e/+G/X7HbDbn9vaOw+nAv/zLP/P8/MzhcGC5nLPbvvzlPhBTTTXVVH9FdTweCdmmUywxPdF76YdV7rmVpjAOnaSfBQRsREnPacK5Hx7EPD6ilc4zZCH7jn13UiSf8x61QYWcVqJkzey6jugDRotzT2EKUggYlUUrMeGyq09ZOKxzJJK4EFkDGjrfgYGoVbYlle7bR1FTGmuxhSWFbvxvY53M7LPox+b+tbBOol68JwURyHRtS1PX9N6zKTZs1htOWvrbAYAccg93u91IVBrsTJ1zWbG4ZjabcTwe2e/3nE6nTCC6mKMrRVmWzOfzkfTknMuYST8qEYHR+UAsUS1NSrR047/NZjN5jWMWfsUgACaRupYs6dfXV9mfLBZnS1mlMVmxCeR8zfMxXuZlXv7d+ftI13mM0UJwvjhe+T4Rwhl4dJOr0b9ZEwj5RyuNVmdjfk9WCagoOYuiVlM4O1iuDp7BMoQahltaD9al56EXMH7oBlBrtFVN54DXlJKMQhOcbUAjbdvRtv0X1m8hxKy0SKSkxEIsKx9VHoaKZMCMdqzpYkj3xRlnFSBki9QkNmwKSGrI0ZIflTwjUTNm1bncHHS2jlUKyVo827wmhAmiUWhtsYUaLUpTjKNdW9KaGAIhJYwyoOOoiISUlSzy/Wgxl0M8VQIVsrZBpBvy+uj89lcaYxxWixLDKy35UySUGU4qURbVaMFXGMtisWCxWIw3d6UUXddzPBw4HI94H1E536ooCkCGj+IbrXCFE+tbayFCaYvs7y0qkqAErJ1VM6x1JJWwymFV/9/t3T7VVFNN9X+nKpyjtJJpKNwXyz4dxcorxEyUkeUlhDCCkMOGGaWy6i+OofB9ZvMBX+QC6qyg05xzBbquE9Wk90SfsMrkvUBW9VuNVU7IOSqSVEBFhQqaosz7jWGvEHOGpNJC6MmW8SAO4LIk5qzk4QIksUuNIaB6RrJOQqxMFcheZ2CHZvtXk/9M+fmJUVwSsroyAgTZsEcle5bhgYfcyBh6OeaYlY8+EL0ntdI8ht5DDFhrJDOzEEWj1irb6cj1dK7AZZZmURY4Z1EWkjrvC1DizCA5lsImDYMrQwqkpIjq3AANCg/Jgc6PQQZdc0PivR/ZlpcOFs65L5SQQ1klxCiDlv2SltfHpz6HepOtYSVDdKqppppqqj+9Tqcjy+WazWZN4Ur6Xnox0Gy3W+r6REqR1XpB2zU4V/Dp00/s9yfu7u5ZLBfsd0cWyzXv3r+nrjvKwhJTpD4e+PTpA9Oe3NUAAQAASURBVPOq5Hg88bp9ZrNZMZvNKMuS65tbXOE4HYTpn7DjfqEoDDEq2lasvBaLxdjzD3lEbYLHhwd2ux3v379nsZhl0rIQnADW6xVN07Hdnqgq6Svn8xlt25OSWKHJYA7qWkC/+XxO13XMXcnd3R11XY/2asfjkdlsxps3b3h+fh6Bxu1uy9PDE7NZyWYjqofdbsuHDx9IBMqyYLfb8/ISeP/+PX//D/+eDx8fOJ52vG49i8WC1UpyK19fn2SAak0+nygWrjfX7Ha7rDidsd4s6PuO+niiaXrqJuKMw+T9SVmW+CTqzK5pqMqSWVliZzMW8zmlK1gvVtT1ibo+olKgPh1YrNZY46ibI9vdDkBs4Y5HrDX8h//wH/n2Z9/ww8cf6fueX/3LP/O//eM/8u79VywWa3avW95//Q0317e8vb9jfzhwOBypilsK51gul+z3ch6bzZp//3f/ng8fPnA6nXh8eoDzLmyqqaaaaqo/oY7HPQy9UxKVvrM2O90oigwY1Y3JdqcJdBpN+oAsfBHnnxT16M6nBitWdW4p83+OfS0hu+foHMOVxS9Ga4kOyXmOyliMFkdBYwyFM8zLksJZQggc6yMxJcqqRBmFQeJDJEZM5tsqCZhXzkqigrpt6H2HNjLT0MbhQxRysw/jXF2J1+uY+xxTou86ETflWbf3HuscIQSstV/gC3Vdj38OlqlVVZFS4nA4jA4JLq9/g/X6YL8+rOvDYw9A7QBCDjXYuu73e2L0lJWjaWpOR7HN9z7gvew3tC5xhSHGQNfVxBT44YcfsNZm94aKqqxGfEUpNe6bhhV4cLAasJkBeL08nuGYQlZNhqBomkZ6/RyzIsKyPKPImE5I0zr/b9UEQv6RUgzkeZV1kALM+WxFGvObDwVaFzKwQl3kQYasktMYI0Oy4WHGISaMb+xLW68zqCjPVWGzs5kcTQyiGBAWoc4fhPwVRcmgZJKGcQ5tHcpalDOgNUkbdLZi1SZbomg9Ao+ipDiDkjEDfCpbyQVkKDrYkimtUBp0kuYoRNBRowab1hRJaASZU6NFNtnuVSsjAb1RzjDEJB/e1KONwcQkqsxBEp8G6zmBPY3MP8UyTSMAJBnU1Iy5XKMKIyZMBnadsdK0aC2htz4DuxnslIGiKFGU0kQl0nznCm6vbyiKQm7WXc9+vxcZOuShtOfY1oTQo41I7RORuj1x2h4l+HdWonVCZWVmYazY8pUCYMasjqxcRZo+tlNNNdVUf5bq+g6LxfuAVgZroKwK+tbjMwhps53IQPgZNuWXLgchBMgAZN/3IwgJZyBy+NnKFSPBKKQgmUgxIOttwKeEGjf+opKLA4BHAq3QVmFteT4en0RZONiGpCTr+SBZzErHmG1jsnsrKSR88qgQ8F6PuYkAurCjyl/WWTXuHQYwMg5W8CGOlqopDvYlcbSjVZk8lZJkYsQQcmaksEhjiISuJ3Q9fdOO9vPOGArncNZRVOfrDWeQUDKvDK5wOGvRWgkAST6GfClQ0hycszDHVyjvlwbO0fBvctFjFHuVgeWos+q1zKrXS6AZ+KJxG0BNozRWWbnuA7lJyfFppUjekwL5eiTZo0w11VRTTfUn12Kx4Pb2ltXqilk1Z7vdM5vN8zpuiTFwPB5o25oQIp8+PZBiYj5fcDweeX55YblY45yhKB2Hw4GurzHGcNg9E7uaQ3/i8ekRV1hOpyM///kv8H2g6TvKqsIn+OnzM9ViyWo1x1poGnFPKkuD1hXb7YHZbMZ8XnI4CJt/tVxye3NF07Q8P79wPB65u7vFGEXTdMxmJfv9kfV6Tl0nvvvuR969e0dZltR1zWKx4HAQxeIwXBtY/n3f8+HhA0VRcHV1NWZPLpfLPFALozLTGMP7t+9pVyt2uy3Pz68oBVdX1zhX0LY1291rVlH2/PDDD3gfWK0XbPSK19dXXl4eadoTNzc3uMLSNDW+H4adilN9oCxKTKGZuwqTNyrWaTZXa0Lw1PWRpj0RT4G276GwuKqicJbkDX3Xsn09qxxC12fHoojWFm0LfFLsDidShLIsuL275/n5GWMdi8WM/X7P/nCkqgrev3vH9dUV/+Ef/gO//c3veHl95XQ8sNsd+fTpE1dX1/z8F7+kaVu6tubHH0+sNytub2+pqoLHx0d+/PFHlssl337zLY+PD6yWSz58+PCX/VBMNdVUU/2VVNflvjHGDPwVpOglCislXOEwSksPOJJ206CIOSvdYgRjREkDkMUhshQNKKR8r8k83jxTDploHLiwAtVG4la0wRmHdqKiDF56vcIayrLAGjOCcokkhNrSkfpEzG5/Pq/HhbOU8xlF5UQB2DX42FOWDmOFhJRSj+BoAqzFi543jM4GMlMoimIE147Ho7geZTVgWZbj/GIA6QbgEBhnGW3OVZT9yxyl1DgPH6xXBwBwsD7t+x6tNfP5HO89dV2PP9d1HdvtlsNhT8LTdx3eB4xxFEWZ8ytFHTrMAiAQoqfpWtq2xWZnxsPxQH06iVtRdqQankflcxjEYAP5ayCDGWPGWU/XdbmnFyL5GayUCBfJjgwjCDnMQab612tCM/5YZYWbzn7O8lc580erkU2RkIGTzW+6QRl3VjyqkbWotdzktPvyjT4w54evy4xIHZMM0JTYfRHFUjSFSPABazLqRiKlkG1bxaZFWYt1Z9tVjJOwXaNRVpQFyhiUyj7UA4I3SBsZhnJqBP7IysM8P0SZhM5D0jgO7hI+KUwa/K3TCECK9+lwiY0AoEqC5EP2yG77mG9qYpEjQgoloOZILBj0qaIqAJ3tXMmPGfP8VQmwShpVI4SETxqrFNo5yqJkVhZ0XYftrQCR2cIuxEDX9QQd5br4xGu/pe88oQ8UzlFYh0rkG7fl+uaa5XJB0zZ8/PgBZebcvbnl/u0tXdfy/fe/5/fff0cIHVqVxBBwSvKryqLAOIcymr7r6L0oM621FOXiv8tbfaqppprq/26l8xoXQrYndTCfz2lochOimM/mzKo5h6NskAerjyEbciALtW0rVql5DXLajBan0kSI+jE6R1SSuZy0uBFgDaGPosAf1XBhtPcmE5mcKdCZFWnQqHR2UxBVn1iwo1QGAcU4BpVIQRSPMdu9pGwn7/t87upizVegfbYhzT8LWlwVjICQkYvMhAghZrLWsMEnOzIgYGeMmVwVZE0VP5o0NoQxN0Fd12V7moKiLClcgbWGMlueSkOEkJOcxRhRmaIVPnkIomLVZDUkQFSi9lTqfH2UEqvZ/GVGuitfqBgHVcof2rMWxXmfd5nnfRlgPz621hS6EADTZGv/NFjWyvsg9OIkoWKcMiGnmmqqqf5MZZ3NfbVEmJRlhdYCTi2Xq7yeSE7hdvvKYr6kqsRa7OHzA9WsIoQXbGHofIdzjt3hFWctsaspneL19ZX6sOX2Z99grGO73XL35i3GFdR9oo+KQ9NwqBuUumW9XmCtpu+DOOcosSNtmoauM6xWc7bbc77Q9fWS5XLJ4+MTv/nNb/m7v/t3zOcldS0WqrvdaWT+Pzw8jKBjjJGyLHl5EfvPsixHNYNWelQyDNmUl2To7XZHCIGrqyv6vud0PFK5grube5rmxMPjAyn0zMoZV5s1N9fXPD09cKpPxOj5/e9/x3y1HPOkbm+v6LqO3//+N1xf39L1HSmCTgrvRZ26O+yYVSVVWRKVghTQOhH6jqKwODunrwr6tsW0mpNvOe231Kea0+lIDBGjzHh+Me/NBvXFbFkxX6zpQ0/XtPiU2D0+s16vUFrR9x2L1Yrr2xseHx/Yvmx5fX7h6uqa9+/eUVUz+t5zc3PHfn/gsN/xq1/9V46HI73vWa7XHE979vttBnYlf/L7779nuVhws7nmw4cPvH/z7i/4iZhqqqmm+iuqwa0HsU/VShG8uPQoRHSiQDIZY/pi9j5GiGTS6AhO5hlzCCE7ACUi0tcrApocG+YDMWR5jUriqmP/91EehXOUriDFSFd3o+qurRPe6NEGXZsc9eJcjueSn00KKltSVCWuKtFG0fatRL8o6IPHWJd7VUupBAAdZg9OG1RZynFl0G1QAbZdR9u1tHVNyErB4d8HEG6Yc4wAZhIr96qqcM6xWq24uroa9xjD+Q2A5gBYFkUxXveqqqiqiq7rvlAaDupIrcH7Fh88RlvW6znX19cslyu6rub1VYhZ4sLkUQrW6/U4j2maJlviZkKw1lgjNq/WiCjLez/Ocy6Pc+j9BfA0F/MHg/d9jk0Ti9yYwmivb20xPs6UCflv1wRC/pFSKmX7tGxnRmbKDzamUfyiYxgyheTNfAYevwQYgfFGOfgdy5vWjm/USyBytGrVCoulMI4QI13b5Q92fjwGtV4YWfxKKRnSWYsxAjamnImUFGLJqrWo74zOg0q+GEYqzgDk4Iatsv+qNoYYL2/WjKBtzOpEneL5yuU/lMpKC5VTqPLcM8rJE30ghUTTdDRtk+3l5MIlk3Baj9Bjyjp6nXS2nw35RRIsVSHS82G2qpSAx0orCMgAVJFDgrNaA/EKV84RU8QELS7UTs7LWofThr7rOB1PEETGLk8rLA9XOJq+Y3+Y0XUd+/2O5XpBUTiWizm+KlivV6xWc3nN8PhOFrIQIqGXLA5lspWt+LRmYs4k7Z5qqqmm+nPUbD7DAW3bjevufF6ikhLrbxRVWVEUBbPIaMGptR7tuS8ZgkOo+gA8jSrCi9t2lzflw+Z8YAf2vh3XV9CyQ1Mq28nIKhwHE/KUSKGXbAqtsM6gY157fc9AzolJwMekzoBhTBFjLYk4KimT5rzua9kLhP4MnJI33prMfERJvnLKVu2ACjlXcvRPGI1dZW8B415oyISM2YZNQMooedtOmgPjLKZw2LLAGbGyGa630mCsyRarQghLQZ5PbE4Tw9GMxLEMFmL0F546I2ksb6aGYxz+fqhLpqR8FaMta9M0IxB52XSMoKUalLCc9x0pynEP7FtxkP8CDJ5qqqmmmupPK3EyaIlRoZUjJUUIQ3ZQJKVATIHT6QgoZrMFdV1TlhXffvut9HRNw3a75cPHD8zmc4qyYF5WhMOe0HdYnbi5XlNVJVc3NxhTEkLi6eWV+eKKcjHjRt2xe92y3e4JIbLZLHHOcDq1lKW4KW02C7yPNE3Pzc0Kk+B06qlrT1WJDWpd15xODTEmlssZx2PLcjlju92xXq/Z7XYCuGUbVhDw0Rgzqg6G3n09X8oQsm359OlAURQcj0c2mw2r1Yqnpyf2+z1lWaKU4qefPlEWBff398znS3b7V56fn3h9fcZYzf39G1IKPD4+4ApHxNP5lvZQ07SiPvS+5fn5QazUXZEzvCKuMPR1y/PLXgaDYhhADB6VEvN5hdFmJC21XU+bpG+2RrFZryR32Qfevrkn5DyvlBJd1xJi5NjVdH2P0xVX17eUZcHryxO73RZrDcvliqaR98Xd3R3L+YzX11deX16Zzxdcb67YHw+0bc/7d2/QxvLyuuV42PHy8sT2sMVl4tRivuTu7o71esNmveawO9A1HavVmqfHx7/sh2Kqqaaa6q+kdO4dUyacet8Th9y/DECF4PH+bPs5xp4NfXoIBM59n0qJpMUFTxNJSmOURKooFAHJmkxBvhSATiPRl5gIWZ2XQmJZLkSlGCMdnfTffUfyHdaaMe5Fa8k47H0/ui2icw/qhrm+EffBQaWYe8rEWcFnrR6JtnBWZmpjx4i4oa811mDj2f3o8mvAIwbQbXCCUkqN+4vBDWjogQfgcQA5B5BvNpuxWCwubE2DZFNmteQYQZd/XtbkOV3XEiNUVTU+hnOG4/FA3QCoc4+diVvDPKYoii8Uj4N70TBP6C7eD5eCsD90vjo7H4nIC/qMtWgIF9jLxTU3xvx3eb//NdQEQv4fqsEwWoZaokAAZXSWXqfxw6SVHj+kWpsReBzsv2REJlaeo21aruENe2nbZrWoH0ptcclSmIK+95z6Gt/50SaMJDfC4D0xRJRWmUkx2KRm+zTFGdQSc1QZ7Cm5pYpOMd98z2cv565EbagSWZWRHy/Gi+ylAVgcbFzPNzG0/JvKAzaNIqXBGi1f4gxQhuznnVIixCjqAc6ArhqB1jxATOLFOuJ1GTxmvIkyHoPOx2e0LCbk69b3PU4Le8ZYR6EVSUGIAdf3tLqn63tK63K4rShDT8cTg/JTJUZ71UN3on/qadoWpSKYxPPzE11Xo43I1K02tMGz2+4pbYHKatdBfaK0xuWcK1Ki63s6udtONdVUU031J9ZquUZHT9t2BJ9GQNEYTVEW0mAQ6fqWmASYMs5CbkCC74UpqAsCCdv3+F42psrKKqrR6GF9S2rMluzzBlznfAhbnLdkMYL2ssbZaHNWY6QPvagZfcAqJ/ZiRmOUQUWxJ1BR5b3F2ZpVlHeynqWYUOJ7nvcow55AlKGiINSErFQkN1Oj3UHKAFoUi3WV7UnFjQAB1KKoEFOSHOfBDEEneSg1AJBBrsHwmIqchYHsYbTRWGcl3N17UXQyWLxKk6iSzgQsaZ4MFm1k/VRDzmO2UElJMjrISlS51nG0aBFr++zYkPcrWg9s1mxbf7E7EmBT1Jtt2+TX02R7mAGwNAJoh5jta0PmQAUSCd/3YmEbQmbtQvjCLnaqqaaaaqr/1qrrhlml0Tqw3+8IIVEWJaRE29R0XU01KyBFnLEcdnsOhwM/+9nfsLleY63l+fmZvuu4Wq/ZH/Yk73n48IH65Yk3d7fMF3Pu7u65ur5hub6mrBY0naf1gWN9oul7NusVs9Kxfd3z8vJKXTes1yuqqiBlS7i+F2t2rTX73YlZWTGfO1m/vYCJ79+/p65rDocjT09PzGZznNuwWKxomhPffPOW/b7GOXH3eX195erqitlsJnubHCGyfd3y9PRENatYzOc8PT9ShQpjJOuxqiqskWEgKdL1st9p+566qXGFYzZf8vV8zuv2iZeXJ3769MBiOWO9uSamwP74ysIu8twDUIrVcsXxcGS3P7Drt8znS4qiJMSA0ZLf5fuO46lGxSQD2r4TQpaME0eS13KxIEYoXMFiMSfGRNO0eB/YnrYoFPPFAm0sXd9zs1pwamoBXpsTfQjc3N5hnON0PPLw9IIxiq/ef0VhNZ8+/si336x4eX3l4eERV3i++upriqLgZfvK88srfdfy9VdfMV/M2R72PD09kVLidDjw+fMnVgtR1nrv6bue2WxGUVR/2Q/FVFNNNdVfSWlrqIqSmCJdXdN0nfRyRoQ8UYGPkpM42HCCLElDrMhZUAOGHI8Rcq82uvAFEfCQI0bE4mdwdYUIkYgOmqQiIeTZvBdwTqWUQUwgCnlZo8eZ90BE7rteiL6Iu57kQuov1o0BqAvRE6JElwHjDEMpEbIMcW+jQ09KYhmrwYeQQU/pq41zI3g7gIrD77VtO1qxyl7CjFmJdV0TQqCu61FR2Pc9MSVxXMwEZ5vBPGstZVmy3W7Z7/dfgI9lWeKco6oqisJRVQWHw4HTqabve47HA2QbWa0Vs1lFUViUlnM8HETANMxXirKgbzvJgswvcYwRHwKG8/UZ3I8uLWZB4vPKssRonbcwGmPOjhED2RwghEjbdgzzgzS18v9mTSDkH6mERimTVXeKpLQMrrKFpw4abXqxIkuJPgb66IkKCU2Pir6TD8FowZXp7oMLmw+RkDw+inoypiTZVDqR+iBZQtZhk6gyhoxJrTUpeIxSaHK2UGZzEjW6sNmCFJSK6JQgRKzO5xMVOiZ0jNnKTLKJYgrEkMSudQBfB1Z+HiRKCxC+GEoqZXLYqwB9Smu0sqRkRJaY1AUjQwa9IQVRDxoBW4P3Q6yVPC+JFELOi1Tgo7xrh6FqFIWFNmLlkkjZRTYDjxqICqM0iSAhvXnIp5IneoQNogwh9fTJ4IyVAehw7dBgHF1qKJ2B5IkBjBEmbdIxK13kcZOKBJXoYs/+JDfKqiho+pb98YjSmpQCfR8BS+hbiIbgFYaEV4EQZAExLmdaeFGvED1pyoqaaqqppvqz1PZwoNQKpR3aBPrgifVBbFPmFVobuq6lPtUcDjXBi0W3ZCQL8NZ2vYTOF5r5ek7fdvR9R8CLRXlKYt0eIiEKYQilSDqhrKzHVjuqWYnKjYLvAsGI/UkKQVqRKOpBcUbVtN5DjOgkmQXGGmlmfC9rRmYiamPyehmwWEIMRCKjyUBMmfxkxZI0QQxC7AvJy55da4IJAuxl1mXIeQdpVBoKqUkpxuxoozUqBUwSFWXwgVC3dF1D3RxBI1kZ1lJaiymLnKsQKYqCxWKRG4fz0FErBJy0QwC8zqQnm4E/aYyEjKSyVS2jHfuwp4MkOYyiCc2kLDU2gUobFAZjHKCIEbyXhrLregJiASNMzl72YBqslT1NUYjbhew3Esoq2e9FL3sHJUdhnCZGCBpSytb0ZlJCTjXVVFP9OerlZUe/DMxngWPYcjqd+P677/j6/TvevXvHZlGyuVrzz4+faNsebSy3V2uMihy3r3Rdx+Fw4M3tLfv9HoqK19ctu6dnUmp5OeyYX224vn1DWS0o3BxjCjabBbtjy2ZecTrVPD0+YQJcbzZcrzfsdjv2rztqZymLEqWEyCo5kQ7jSo7HE0rNUErTtH3ubSUjMaXA6dTRtS0ff/rE9fUVq9WcrktsNkvqWghR9/f3nE4nrDUZDIOicCyWC5azkufnZz5//shuu2W5WPL+/Tu6vsU3PYpEfTzkwaajDYGgYN82FCkSUxDybjXn/qs5p9ORTz99ou1eWa8WvLv/mofPn8RlYjYjpoQpDev5httrz3b7St/1zGczyrLCWEPXdWJL23b4vqfvO8mP9B5rnThUKc1qvcaVDqU0XdfTR7DGUc4sqvesbm3O3I4ko1G6wBSGzVzs39AKHwKntqXtE262ZF3MaJqGj59fRF25uSb4jndffcPm5p5Pn3/i46cHvvnmG5bLDUUx48k+0TQN3379DXftiZuN2ME1dc1+f5DrFzzr9ZrNas7xdOLl5dNf+mMx1VRTTfVXUdaVkAUkXedBdyLKQeFjD10vSsgYx4ivEAJBebSxeW2x0m8rJTFl2QUwpUQcnXWE2GuAqLPFz6B+lJ/A6QKFRicjZNsuYbQFn1A+97xJ0ceExWSwUPpOY6z06z7hQ0dRFpRVhS3c6DSoUfi+h0yMdc6hQhIQLjsvDcBi33liEne9EITeqoMldolDfcI6h829qisLjDM4o7OLoBrBRLGJFwDyMnJuUByOmZJ1PRJwlZb+u/eemBKVgnQ6Mi/KEYBt21YiSWKiKkpRFWZBT1mWEkvmIWKJaA6HA4fDgbJ0WCMRZldXa25uNqQU2B+OnI4NbdNytV5BSmMm9qBqVEoRWvm+LAqMsqOwCGQO4AcLXmMkci27V4LsvwbQdVB9pqToO58VtQmFQRtNCBMK+W/VBEL+kVIjEJW10AxEPrEnU1GPt51Bwjyg+SLjPQNGMZ7RdpBg2AGJH24MCvkMKBB1otEYbdAorHUC7qmspOh7htDTmOXng+pB6YFRcbYQ01pnC9R0VgKaPLQcLNXyDYP8s4NKMSm56Y3nDlkREL9gAgwqR7KN3aCGPCsidVYawKia1Oeb2XAM1hpSAS5fI1JEK4stHDorP8esKbLl3GBjp3J+VVaHDuqD8YdRo0rSWjvebPqux1mHAgrrcG4YhgaM9/iyoGkafAyUhZPhdEzooriwYBOVjHGG5DuMFbDVFhalNbv9jseHzyTSODwdZd+XitAkoKOPQWTyTvKofIw03aSEnGqqqab6c9ThcMJnJl+6yPGT9VHjnMX7jpi8sCJ1znxOwnaMKVt8GI21GqtEMZAIhODFhnTInxDpHmOaPXK/NzmfoHRmtHVVmYgD4Iwm5H1BiokQ8xpo9KhuVEERk/7CSnTIoohR1pI+enxI4x5jUB9KtqSCwZZcid2pz88zrKUxJsl/tnnNHZuz81qM1rJXyCCksD612IzHJBnHbUvfddmDXSBApRRFUVAUxfjaOOcoyzKvw57kPVqlTGZi3N8oPTQPSchdRqxyMed8j5i/tEpYY2S9HfKmR4sVN+5ntNYUrhiff6jBnSESCHiUkmujs+OEUYPVS2ZsZQcNrXPDmzwxCRCZRPoyNpYYPRhKkOL5Oaeaaqqppvpvr8I5urZl+/JCWTicNby7v0WlwHH/SuxKts+PfP74I9d3t1RVQVlpXl8fOJ1OLBZz+r7lN795ZDab0bYtVWWwFn7xi79nu9tjrcMYx2Kxom492rfMs2271TCblThjePn8PNp8zeczoOLx8Znj4cj9/W1eP8Baw+vrjr73vLx4FosFRZH7UN+x38sM4Pp6Q1EUdH3Pfn+gbRxVJUoC7+1ovbrZrGmalraN49pZVQUqOG5vb8SJIEUO+z2//c2vWa8WvHlzjwL6rqVwjmo2o0stvu04NTWRRFmWlFWZ86Iaytmcr779ht1uR3M68umnzxwPhzzME0vYvvO0sWM2m3G1uWK73XI6njgejlxf36CSorAFKSR87/E+0vcRrS2z2UJUhqcTLy9bylkpik1rMcZlNws/qi7QMo8QVwJN3dUolZjP5zjnaNsWYwyzhVjwtm2L0oamaahPR9r2QOEsKYFzlq++/pYQAt9//x3ee1arFW/evuF4PNE0NZv1mtVqxel4ZLffs1qvaeqal5cXtvtXrjYb3ry953Rawn/+p7/wJ2Oqqaaa6v/6tVisUCnRd0223TQkI/Fe0Uf6FDM5d/TpG/tglXInmpVzMkuPpIAIQAb1jRKhCZDjzdRIChabViDlObrknolQyGUgy2ZCa1bcFa7AWCv94CBwgrEvNdZireRI2pyjGLKLEiqhjcU6Q2EKbDIkPCGrOgVXEKK0VeImFHP/mrQIjsQMMItzrMGVpfThShN6P871B2XgsJcYcIgBzxjWX2st5Jm6uENmwq8SwVAk0XUdoe3yTEFwksG5qes7HMVoR9v1HbFNtF7wFWsd0TlOpyPH41YARKvQBlbLGUohrkRNg1KasihHdyLBGc4uR0IsTrRdT2kH16OzPe0wQzFGSN6De8SQnzlcG2vtqOAcZj1yzTIGoyY71n+rJhDyj1TX9ZjMOhhy/7S1KJPACoo+DOdiPOcAaT1IcNWoDlScB4SST9ChtBYQ0ocMHuahWYykGMccIa1NZmjIzW8IbR3zGtP5phOzfWmMYrc6KBcGQFUGcYg8esh+ytmNo7dxVmfELEsUIHIUQgo7JN+Y/zDcdwAVL5/PcPaLHkHAJB/OYcAXLwbAwoTQohwJAaLHGEtVVaTgxbosno9N7t0atCgwUrZmFQAyki6AyMES1hpZgmJMqJjouh6lGuazGckySsJlQYooTfYZ91hjmM0WLGbyWnRdR10LSzN6T98kggps1ut8E1N0Xcfnz0/sd6+5+avYbNbMZjNhoJhyvIYxenwMhC7Qh368+QUCvQ//Hd/xU0011VT/96muacVa/YLEI8M7P4aVA3kjamUDH0JuIs4Mt5SirEsAFwo84OzeKT8JMNp3MxJSzBhkbowh6qEZAmMtEFBRZ9WiMB6Jij4PM4djHTbDl8HqQwZj8GHcMwzqQAmSyMefEEX/sGeIYn2esivBaGMCOQ9SvlKM4vCgVM5blOMkk4OUMlkBGvEXOZhFWYASJmU5ND9FMV4755zYwAGkwJmqdSY9nV0aci7z0EhYg87NQcyv2ehtoE22sue8b+G8RxnyPsuyHHO0huZvaMJCjKLA0NkKP7MmbW52gPE9pZW4MQyD52GfFi5yv2XflPdIkwhyqqmmmurPVo9Pn7m/vYMYeH3esVmvePPmnsFc+/n5iR++/562aykXBcXMcKq3lFXF+uqW4/HI68MjWmu2+9MIgl3frnOO9Jybm1tMXjc6n3h53XFqJIewmJXM5hWucNzeXBP6kJn5ss+4u7tD68R+f2I+l96z7yNVNcO5wH6/p67rTG6Rfvlsi1ailOHq6ooYA/vdnuPxSN/3rNcrNpsZbRvo+5DXVAE3Y4wsF3MSgbKSIeXd3R3GGOq65vlZwNKrqw2z2WycW3z1/j3b/YHT6ZQHdbJeet/LYFQJgWu5XLCYlWwfH1BacTgcaNuW6+tr5vM5XddxPB4JIYwKA8ml/MxqtcYYzelU5/PWvHv3fsx0krVV1u/t9pX9fi8zgvmcxWKZlSFyvtpEuk4UF00ruZMhynM650YCOTBmVQ3H5Zyhq3ecTnLs2+2WT58/M5/PKcqSBNRNI7axCmZzUYJ2XSuZVUXBbrfj5uaGu/t7np6e+PT5Mz/8+CPL1eov82GYaqqppvorq/Viwel4ZF/XxN5TWEcfo5CIc4SJ9wEVIiaDUBol36eEipI8opP8nVFZuJNE8jLwh3XWRyog9eICMHxBbpNTFh4RsErWx6osAVnjYvDEECRqRGta3479oMrOf4mELRxF4S7m54M4KmVAMaCjxliwxuBjZODkDtMJbQxGQzWbZczBE1Kk9x6fnYyGrMYqz7xDH0Zr0qH/Bcb5xGXO4WWvPJvN0FpzqmuOp9MIBgsAKeW9JyZkPpAZ0ZfYiFOIOjPvCUL0aKVwhcOYkrKyKAU73+UsaVElvrxsSSmy2++pm5bFYklZVvS9x9oiA4YG72V2E6NkXIbgR4D18vwGYvRlRN4wl+jzvOVyBqGUYjabjaKkYWZwGbs31Zc1gZB/pEIIdCmO/s0pRoxzolBMUdRq+c0mb7g4Iu5imWpoaok8FXQ923MpRQw9KQRCBtNEBSl5RV3OlSqUw2mLIYNdTZtZkP5C7SBg3aWf8egrrb70vb78LPwhUHjOdZKBmKjyJAB+UGjGdDGUjEGYIoMSIoKKKisC8mNcDPhSvqEz2KVqubkb484f1pjZCMagXFYJpooUPWVRyA2lE/tSyVAavFsTBg15CJyC6BRSHpASJdsqxTScPFobfCcD0cLYsakU+1NPzHZ28/mcoii5vrphVs1pmkZAxFLCccWf+jj+vveeznfouWM+n1GWwl4pywJjFIvFbFTIGGdRuYErbCm5VkRSMujghQUSJQfMJwFi9WTTNtVUU031Z6miLCmNHtdUUqKqqpwrcJAhlhZL9Pnc0vUdqetynh95LRGiStM2qCBZhzFEnLMkIjrpMexeqSjWKzHhUzhnMhLp/KA6jCMrcswytgaT8n8nCAFObU/kDKRdAo+yuT4TVlJKmIFMpYxkGyQIKeCDlwzHJI2CGoBII47r6YIgpWIipTD6QoibgyfEKGtZlFyGvGFAuEC9KCzJLg9W1jFXnAeYsulPBN9l4E+JkDGF8z5CqZz5PBynHIM0i5xBUC17n5jiSKDCyC+KKvJMeHJ5nzS4PAzA5+AecZnrfQkihhTAZ2vcfO21UkTkMWL+ua7rIBPZBsVjSGfCWEIaO7ne533b8LxTTTXVVFP9aVVpzbx03G2+IoSeh8+fePr8KTsgBOr6RPAd11drQmzY7Z/EqitnE72+vrJcLlnkQefj0xNd31IUV/jo+Zu/+QV39+/48OMnTqeOpDSb6zvqpiEET33yGCNuA/OqxGtDVWmaRvP4eORwOHJ1dcVyuURrsRyrqoKqcsRY4Nw1XdcTo2QpNU3D11/fsds11HVLSomrqzVdF8b9S9O0aK1ZreZ4H2jbNg/RZMjWdR2fHx54c3uDz/nUy82KalaRYuK//OP/yvPrCylFrLX0fc9qtcZWR6y1rNdrQIZ3u92OxWLG8XSg7zshbIVA29QsVivWmxWvr698/vyZ08cPMvCsKqqqwmWXoaRguV5hlWO327Ora7TRLObLTPgGZzMhNwSJwYme5XJJ2zZ0Xcuprdlut7ii5O27t6IKSQmlRJUgrgUG1Hk2Uebh8LAHjFHON8ZIfaqpioLlcs1yCc6VbLeveQ8HKXWZiNzTti273X68Xq+vO8qyZLFYcTwemc+XLJdrrq5u+P7779lud3/BT8RUU0011V9PFa5g175QH44YrSmrGbHvCUkAxNB5Yt9LxrAyI3BolJLeOqUcIxJRIUr8l5a/N8ZkP0SVJUWinozeg5bIE5Md+GJMEtkSgtilGi24AQnvO0LoSSFitcZYJ/2nhz7IGjwoG7UV4vNALg5DRmQS94Gh/w0x5NgxRdf3WWBkMhAq5OKqmo2imrpN9J2Qn5q+yxmNBbH3HP2R4HvJYrlwVBowhaE/HnAMyNiG0tjsBORDoGtb2roW0ZYWt0WyUCp4iZnTMAJ+lwBgWZbM5/NxDUYp6raj9z19nygKy2q9Qito2xprxeng+fWVvu/p+16iZUxBCIm+CwQ/5IAawSqUpipLqgratgHv6b1YzgLjeV46XA7CpKqqRszGXMwIFOBsdp64sH5tm/b/7I/C/2VqAiH/SJ1VejJQC8ETALzCJPGUjsOmlovsxIFlkWW98ljmC0Q99DKg00qRtM5qymzRhkIrPXoU++Bp2pbjbk/btvR9+GI49kXgbGbxu8KNN4CUJeNaZ5/rrILU5mwnmzJwOGReipfzeXBHSiJrz0CkGZgRg9OpXCJRjWavNAFYxZBsUGCAZDkIWCv2rCRpDmLOSEpyYdDGUJQFRpXjzdhGK6qNoEZZvKg0oihF0IQ+ghJ7VJIiJTVglVnKeVajiDJT+LApQlO3tLQ0p4amaem6ntmsYj6bM5/NKYuStm1EEt91o4WqNZoqW9L4KF+77VZu2M4wn894+/atDKubhsPxQN3UwshUlpi8eFArsNnSVVsjaVVZkaqNqFOmmmqqqab602s+mzEv3NnXPzPtfd/TdTJgEoBsIBEZSlWgrRqzJQAhAiH2IgJ+5cy/4XY9OoCI24BwcmSN1EqUhwNLaPyVDEhprcfnEZsXxu8HQuKXNvDhizD5YRNttR7XXJ2BUFQiL9OyFxnAwxTEWmQ8/IhSg72rIIoqkZs1ya0EC0qahhFMRUhBRou1/JDrCBFjJVv5DEKem5phnzQMCk1mcw7nM1y/0XZWy/7GWjtmYHrvUSa7SWBJKqBiFPaokUbPGDOgmaTACEAO13K4jiOZKp33aF3bMeCf+cCJqLPScbDaz2QpM2RzDld1uE5J9pYpMLpRhDg5Hkw11VRT/Tkq9C3b5wf8fIEiMZ9VxBDYbV85HY/0fcdyIWBX2/V8fnrIRB4BIt++fYMPgd3+ACSUNvz8F78gBtjvj7iiYj5fsL66om46TseaY/2BalZxd3+HKyxFafC953hshFDcOtarOe+/esvpdKKuW56eHlmt15RFQd20bHd75rMZs3nFbF5mAnPCOsN2W7NaL5jNSj59fuTz5wdubm4IPvDmzR0xRna7A7vdKceFwGxW4ZzOeUsFbdviQ6CuO1QmY6U8YPvlL3/Jd7//Pc8vLywXC6wxvLy+cGg8q/UVq9VSCENa0bUNT0+PWGuYVxVt1xBDT1mU9G3NciEArnOOl5eXEQTt+575fE5VVfS9AHm2KqiqaszhNMawWCxomma0Tx3Uk4vFgqQixmhms0TT97SNZE7/5je/oShLlus1i/lCQMW6pu87yqqg73u89xTZ5m7IBLPW5tejxvuOw/7EaiXqys3VFfPFQghqhWR19X3P09MTqW1xRcmpPrJ7faGqKnyMdBn8rZuG2XzG5vqK9dWGz58e+K+/+u4v+rmYaqqppvprqBQisfcQE84YnDa0CJHWJCUOPiGiAZfn4hqFVRIhQoyoSHb28QQljjoCNslsG2TerFEZWBN+q0N66hSjuAQODkEqEUgEpfG+R1tx9klKXApDjHS+p2lbOt+DAqetOPkYLVmQzmCMHkmsPgYBLKP03TpqHJqkBNCT/ldcksR6VgtIaq3kYMZIl+cbWiuctThjR3ce7z0qZFJtjKNd+RCPMuY9Dn1zJmsNZJ76dOJ4PNJ1HcuyZFZVxBRpWgHjrLH0TYvPTkrkOQdK4YqCoixxRTFmUQK0XZtdhaCarVkt18yqiv1uh1Ixz+PbMYvR2ZIUFfWppW07YhQVZAgpZzQmquz+kCIEmjFeZujfz26TjITu4e8GgvJgxzr8zED+HhST3nvC8fTf/b3/f9WaQMg/WvmmEhMpRLwPWG0kC0oplMkDPaNRinFYJW/ciFayefbZh3qweCMlCpNBRi1qxT4NgzzJa3TOYZRkFPa953g4sttus+2avRiOqS9svay1Yt9ZFpldL5lJ2hiUFQBSZ5a/ysM+rRQ+D0hT1pKrDKAmObFxoBhTQqdIUpISqfSgUtConAV5FqynDFIOw0S5IQ4q0UE1OgC5SsVRqaCS2MUZaykLJ4yDIMPDFGWQN8jfAYjiX50iKG3ysYRxkJuyJEIeX37fmOFGKl/WObGsi4N1ncyF27bjuD+wXC4zA0XTdS11tqPp+46UIoUz4CyRSENH07YE3+OCRZFwVoDFmEQ90vkObTWuLFBRQQj5poxka1mDz8HKSQPmPJSdaqqppprqTyvj7Kh2GJTzTdOMANelzXlZzjIxxuGSpQ1+HGQZozIZSfKeA+kLolBMYbQvNcqgtUIbi0lJAE4JWpT7f86nHEg5g9IyxZwVERM+iHuBThe5h3lPMOwDhs3xsLHWnHOZZd1L6CTgIyqv2flxQooE73POowJEqagH5R8IczQJ7ki2NYfM8cnOCSAB89YYCnMGG8Xi3I/AYVEUIwA4BN8PJLABlCSdcxKVSiNQKWxKjbHnLIdEoo8Ba0RtqbWGoCCG8RoN9q/D8/Rd+OI1H94Dg9XtJThqlMEqzZAJGWMcCVjDHm9cq7P9fAhhVLhe/PUX11wpeU0v88Snmmqqqab6b6+rzZoUPYf9lr7vqetaIk6iEGQOTcvtzS0xRb7/4QOuLFguVywXK3GxsYbX7ZH1asXnhweur2+wbkafPLd3a47HE//1n3+FcyVKiWrw+vYKVKJrG3b7mpubK7E/7SLHQ4+xhueXHaeTqCDX6xXOGZ6enjPwec/jY0Pd1LRdy2q1YjZzpBTZbBY8PW15enpmsVhwfb3m48dPHE9HqqIc18UhG7KuA/v9Iav4YLPZcHt7zel0Ipupc3t3h06R0+lE0zRcXW349mff8uOPP6ISlFXF7nDExShZiU3NbDZjPq8oCyeW6cETEUWAGjK2ipKu60bLtwQs5nO89+z3e06nE88vz6QoLhQay3w2582bNywWi3GgCTCfzynLcgQiRZ0gLkNKKWwoRwt3HxLb/Y6PHz9QlaK8VApcJccxrPWD4uHq6koUmSlxd3fHbrfj8fEz292O4+nI/f09q9WKBCxXK0KUwWo1m/HvfvlLjscjx+MRYw1lVdI0Dbv9jr7rCVEGlP5zYDarePfuHW/fv/0LfRqmmmqqqf66KgWxRi2NzesPOVJEetwBODQpW60i7kBW6RztpbA510+FhE4JO/ShMc+vsxORKOGybWsm12qliUoeM5CIA0iXBgWgJ5lzT+5joPO92JYa6VmdE2KLK4tRgGSdobgA5aJPqKSl/wacMxSzgqJwGCMuQX3v8bFDKzDGElLMM3MBJIc1MilxArDWSv+vFKVzaCcq0a7rxnnIkH049ObGGJmNcI4yiTHStWJ/K8RhjbMSY6PoUFplbEOLq2MIowtRTJKBqXJUjM/Zl13f0zS1zF6co6wqVus1RVmgEHvbtmswJuaZveAo/f+fvf/qciXL8jvB3xGmIFxdFSqjxFSRw+lpsr//e78MX7pZnEWyqyp1RlzlCsrEUfOwzzHAb2Z1zKqMZi1W287l6XHd4YDBANg5e/+VC7mP1qxWG1arjhDONvaSH53j8rLKs7gsFGeIL7Mwi2oTmGcEBZDVWs+zi7quWa/XTNPEqR/+u30G/kerBYT8iZI3nmQzGmOgDPNsYc8Lum6y9UjxA04Rqqp4CWdbknHkdJLcQKMUTdfOFzKVbVPFGrQiWQs+En1gGiemcST5NMupfZYWl2MkMQ/VChOioPRlbJdyptOcmZQHc8oYMJKRlFRmaMzWceoM4gHFU1knIxan2SpNFw9lIxc4uZgYVm0zf4AnLxcHaxPKVvMFyxiLqSxojYtJspuMQaOorcE7h0uBykow7DgO+FGYIFwEDNvsoQ0pD/rIALEhhYTN4fSSjxXEDjUrHoT5IU2bVmIna/JFtrAnTyHy/LzHGM1q1VHVlaheos/D0wqlzkNHayxv374mpcRut6M/ndgf9lR1hcqZxZvNhm7V0a5a/CjqSRk+y5AVla1vrc4e4Vlds9RSSy211J9dZWNZ1zUh5/s2TUO92RJDmAdy0zQxTRNX11e0zRrnPckHEoGqzusGimQ80xhJKTD5cSYlpVhCzwXUKuQXAc0AFckpyyitxL5FGZTyeCU2rm6SDbkEuecWKq/R5XHKvwuwdvmzmPOEzzatat5QUxiJ5D2C0ph4tlDPvqqEGAkZhBTtpygsra5Rlc0ZGrLXqIy4F9TGzsHuZU2N0WONoq4tdS1OB0URGUI1q1BF+REIPmGzNa4oHy+UiVrNFqyXX+urLdJgSBOa+z/GcaRt25m5CbIXCPrlOTxnbJ/Bz8ucz3mvYLNjRgi5WWW21Nc629RYIX6FGGfbnQLSXtrWl+GxVefHXGqppZZa6p9fH3/8QbIap4nn3TPDKKDeKecWNU3Lse+5vrnj//Xv/hfeffV17u8StrLUVYVSmn/4x3/A6BWb1SueHnvc5Hnzbsvx1DO5QN/fk9LZXefV61ecTiecG3h6iDRVlYHELU3T4L3ndDrw6dNHVqs1r15dsV5/y8PDI4fDAa0Vp9MxD8kMV1c3eB/pe0/XCeAmfXTN11+/QynFx/cfqKp3bLctfR/xfmS16ogxEELNarXi/fv37Pc7jDEz+Oa9Y7vdMHnH6eGBrmvYXl3xLfD+/Xum4FFaMqCC85zGkbE/4cbVnFW52z1z6k+s12Kn1nUtp7GHlDgOPQDaGp4Pe9brNa/evmGaJvZ7ybE87A+4ITAO42zJtt1usdZyf3/P6SSqgpKJqYMiREdViTqj0Yaua2XY6BzaaIZpYhxH9oedrK+jkMbHcZyHjSlJFvgqg6PH4xGtNTc3t6xXLX1/5MOHj3z48JHr6+s8sKxo2y7vZxLb7RWrlag9x2mc419OpxO73Y5h6DkcjuyeD+ye/wF9kau11FJLLbXUP7+C87R1w9g0WGMkUst5uQ4nIdxarUnGUCMKPgo4GTObNooNKVpLRmRSGDSRKKKbJE5+Rue/U4lKy7yaIERUW9XoGJm0kJR1kmiRmAI+OkwmCYMQloUJLJEvbdfRrDqqDPhN08h+v8e5ie12K/2v1ugk4iFr1czNreqK9UaAtv3xRB0BFM7LvLwfB5ltNDXKaOoocSEFezBG7FSL86HPTj6Xjo51XdP3/WxVr5Si73sGPRCcqDNjjDR1g7GW1WpFipHj4cA4TWw2G1Zth14JueiUVZMpJdbrNVprpmmaZxTFoWq1XmdRksxqutWK/eHAw/MOoxWVqYgm4saRGItwKtF1ncx3qprrqzu6ruN4PLLb7SQuZfR4LxmhVV3N+ylxnHSz8rEQygsIqTOWUllLXdWC+/hA8gE/Tazbjqv1hpM6zQrapf64FhDyJ0qhMNpiMwAZY0KliNEWrSXPT2WrtrrO9qKANhqTJ15leFmYe8ZIEG2MYiFKSnI/IMMqYwgxzbJo550MDyOz0uH8JQCayVavwAzuWW1mMG1m8GdJd1Iy7Awpzu5pimJzpiW/MftJkzMhtdKzP7bUfFkGoMCBqKy8zErHBHPwr9bSnMVsY2e0mQeGKg/qUPK3JqsZdEoYDaausMoQoifFCps9t0OIpBggKXQkKy3zY2thtISzF55I00nEIJZz5TnKOcohvkrOG0nhXR7cFnWDNbl5caLmUCmfBSvArhIr23XXsd1sSSS8dzjvGKcR5yfqpqZbd3SrFbay+OBQ2lDVldjiGU0IHhcDdVtjKwsKJj8Rx0UhsdRSSy31c9TlBrM4FaxWKyprGfph3pyv12tC8DK8moYMBvqM26XsKKBJUWOMJmgh7KRU1IvMwOOlNbm4BQhxqSj1E0hmstHoZNCZ2DTbhqZEuYs/ZcN6toU/l0KyFMvfC9CoZjbjhanoTIqy1s4O5lDczLM1e/6pykpGsXc3ctycj7Pc32VIuzgnJOqqzvlU+sUxfwmklr+/tJwvJKGZGJXP96yEVJCMwXlPyOBrXVVU1rJar2eFY6kYQs54Si8A3Uv146U9rEDGYs0zKx7T+e/Lfqqc/D/lYHB5f6Wk4bPYhWy01FJLLfWz1NNuJ8O/ylI3DUob+mFEa8Pbr77m+1/8BV3XESLU6y1N02XVXmIYBuqq5v7hHu8133//N6xXaz5+/Ejbtnz//V8yDAPHY0/TrAkhcjwKeenHH39AG02MjmejcZPjanPF7e0tDw/PrNfN7LAjyrsnXr16lW1KO5xTHI/HOZdytVrh3MTHj59omobtdpudHAwhmDnPsO97msZmNv7I8/Mz6/V6Zup/++07fvObPzAMA+MogN/j0zPH05Gmqggp8vD4QF1XNLXYo/Z9Dwgoen19S9e1HI8H9vt97u1li7JayeDvdDpyOh0xVonaQstg1Vo7Z20XEpioPDtWqxX97kjfHzn1B3GIUGCNrPE+OE79ERJMbhJV5+2WYThxOp0wdY21ReEA2lo2ess4TpxOYkt77A88Pj7O2ZmfP3+eFRDFZq3YzylFBlNXbK88x8OBjx8/8fj0xPXVFdvtFqU1+/2Btu149foOW1WM4yDD2WHg6vqa27u7ebg5jiPH45Eff/zxX/ZDsdRSSy31r6RCFtKUmJPo/QykxZQyaVbKGCNKxZQwaLRRKJ17zNzzSQ6kIkpzPj+Oys13Is3xIqLkyzasWR2HVjKHh5lgK8cZSTm7URtN3TboukFbyUO09TkSRAWPIuGcE5V9jvRImYQbilNTUtjJQC/xKuM44UOgqmraTgQyIUacd9l5qCImWY+dc7LmdZ2InLKtqLU2uweclY9z/1tsW5Wia1pSFuv47J7Utg1N29I0Lc47dAbsSt5j07bzvF+yHp28VtlxUV43L0pGBav1ap49hBTz/EVI4gUMnVzAuZhBVXnJhrHPr2HAe4etNlS1pWlrvBN8JcWIMoq2bVmtVvMM5XI/UGYAIFiA82elZ1FOFrK6UmrOuy7/XupP1wJC/mQJY6FYgSpUtvAsWYpZMaAtSid8lv8aA97LwK1YiQQfMdZgsgVpCAGVxE5ViYcoNisKo/MyFPPCrL9k5V9mFKV0af96zqTUSmNsViZa8YLWEsAk5tZK5OKEMEu6ldbo4msNhBBnxWUZsCrDzBRJxkDMjM9s96q12LeWvMdEyWxSc7MBMpSV82TnnKxiGYtE/oJGwFVjqI2mripZBybJTNKZSRJTIsSE8xGrFAZRQCplEFQyy+SJkFR+OCPKwnyl0trM9nV1JdZxGjUzMlJKErxrDcYopmEiEakqS9NkWXtKxOAlfxOFCVaASyS8tmkaeVpWkVQipMAw9tSI/7XWito2mMqSiAxDInnwMWCUAJTKKKpsS7PUUksttdSfWZlsU/z8vc/K9rz5LFacbdtKqHyMTKeBcZpIWiy8QYZvWiswAkJqI5vuM9coA4eovKaQv2J2KIgQ9AvgjqK0MwJmSpakRmzLCymJeW9Q/u4SMJtzG5JYscwOoUrW22oGDOdIyhdqQBFBpnOOYX6yZVtt8kDRWjtbvM+b9dwAFlbjy8xHsSyzVr9QGspxni1OLo8lwdwMFeWD1rLXEduZCztWo5iy7fk4jnkfommMNEFD3zPljAqF7AW0qV7kP5a9zwtXiHyMiexUkMhNan4zXZyj+W/z2foyX/LynCjF7LhhrZlVFEsttdRSS/2ZpWCz3XB7e0fbdhxPJ46nEze3d7x+85bNZiPkV1sRsXSrNXXdiH2Y7bi//8zT455Xd2/ZrLfsDweur19hrOKXv/w16+2G9WrNerWlrhtiLM5Fit/+9jf86te/o2kq+uORGDW/+O4XhBD5/Dnw1VdfcTweubq6YhgGtIb9fs9+v5/VgFprdrsd3nu22y13d3dM0zgPN8UOXtbRuhYngQ8fPtN1LVdXW4wR8qy1lqenJ25vr3nz5g37/X7ew4QQ+M1v/0CKibubGz5//kxd13zzzdd89dVXPO+e+fzpnr4/obVhtVplkHOg70/sDzu6rmO9XtO2DX1/YhwHYh9m8LOAe2VtPBwOTNOUMyobrrZbdEooDT4TvYZ+IITAdnuVcyPjmcwcA5GJtm3FdnYccnZkTYjggs+xM4arqytRKbprPn78SEqJq6ur2Zq1zGqK9ascc2IYetmnodheXdN2K1Ca9+/fs9sf5iHo4Xji8emJd1+9pe06qromAYfDgVPfc3V1xcpatldXvHr9mtV6zf/6v/5//oU+EEsttdRS/3rqeDrJbDqJDbhzE867WZ0nIWkpg4cZUEvI/FoZNKBLH13UfwrpxdTMAQYuSKV5TTNaE/2ZZFtbi8Vkg6FzL1j6v5iSTLq1xqBBy1w+ZgWiYAuKbtURvcdNY459kcfyBEKe//sQCClhRs3oR0iifkwoGqNZr9dEQrYtnVBFiZm+yDbMMW0+g5I2KxkLQafMSIp74DAMrNdrrq6umPqB4+E4r+Vd27G5EuVmOMoc3Boj+ZNVhdIqx7vF7CYkWIAPHp30fP/FJlVp6dO9D+z2e5RS7A8HJudIMOdJa6XZrDcoJfcxTROn05HJjdTZhbAQrySmRaGzFW6JsSlz/0JKL69ZmUe4EAiTm3GZop4sYG6Zh0AWcv0JAvJSUgsI+RN1ZkOcy1orwJf3KMSKtXglixexoPA+W7GVvEPTVNSVhLoSA2F0WZ5QlA8CuqmLoWgMZUCp/miAVb5LrkWaLyRVVVE1tQB6eSinTc6tNOZ8sePM2tcg2U75OZaLeIxhHoDKxVKVaSs+nCWUs2WrlgtnGRheMghKI1XOCRQJeEWxTDNaciVijGgrzUpVVbR1zsYcxpmpYutKgND8fEJyMhCUZzBnL2ljSCqgxU82D1BFVi8htuQmzswgaTkH5UIkyg25gGptGIYBiGw2a66uttkaLs7qyBgjfprY754JMeBDoKkrVusWtMJHTz/2jNNEVImqrggpyEC3lotxSIE6SmCxjZYKMLWlas8WcksttdRSS/3za7vZUFszs/hm0CydMxZLhqGo2keGccB5L+upSnlPoMSiA1HHC7PSMoed+/RiMwuFRFQAqkQMZ1KR0QadzdSVNZJdEbOakAQB/Ch2cS9AwwugrNRZqZdISZEIM3iHUugkrgpJwpJR+jKzMFvGXxCdrNbyvJTCVpaqrmey1qWC8BLYBeb9iWREapraYJQ0hylGCBGSnolHRblpjEFbi6lqcWNQYoNz+fyiQtDeKCQlUPgU8UmyFo0+k7KqqmLIljIq96ExRoRlxYvzeKnIfFH54WMUJwQgZ2G+tFUtQC7ZtSJmAHMGKMueKLN0TcnrZmlcllpqqaV+jvqf/9//PivUJsbJMTjPm6++4eb2jm61xodIShFD4NWruzzcCrjJZ9XaH7i+ueGrr75it9vx9PTA999/z+vXr/j7f/w/sNOENpakLI2PMkDsOrRW/Nt/+zc0bcXnTx/o+4G+H3l62vDdd9/hvafvjzw9PTFNA8YYHh8d19dbPn36TNNUVJWsS13X4NzI+/d7bm9vczZij3MjMXaAom0r3KpFa83Hjx953j2ijSImT1M3QEQb+PT5E5vNhqvrDU/POzbrLbdtS1Ubnh4fuX+4xxgNCu7v7wFkuFZZwv7E4XlHdJ7NdiXxMnWFvbrGe8dwPKJSpNIGs1ozuVGynaZpVkFeuk9UVYWxFuc94zDQ90dCcNJXh4gxMj/oh4PkbYcgRGctVu2DO/H4dI9SmrrtsFZeZ1NZcRjKWdPymPK4r1+/ZhiGWUmxXq/ZbrfzMLPv+5z5RM56GufsanktOl6/fs39/T2Hw2EeUB6PRz7ff5S5RQZGvRdbvs+fP88Dyktnh6WWWmqppf68enx+ps7RYiH4nIsY5/4q5rlwyL13TPE821fyfzrnEcpcWX4VSZgLUnDKjjeldzTZrh1gGoXAIvbkF7FmWhwCnYsiEsp9ngB6AR8cGpMj0SJ1lcS1p10TvSdFybtsm0Yiz8IE0WOtpl21pBRQRjH5IbskaepKiD1N2xKiY3IO8kzjEmAzWmONpcrujRo1i3JKXmTJUbzMSFRKzRnNBiV2rAUoNYbKWPpxoD/1uHFCGc3Q9xhrGd3E4XDgcDgAYvNa3InK9zlzMa+hkUTf94z9wH5/YBhGxtGRosSfGS126q9ev2az6uj7Ew8PD5xOB/r+yOfPkX3OBFdKcXt7mxWLNWFK5+i102meB03T9AKovcRf3Dgx9kPeFwlGURmLSjD2Awe9pz+eBMdZ6k/WAkL+RFlbiVovJpJKaB3FzlNDUgmVFX9Kyc+qqsryZhm+QVEV6Bk1DyGgcz6jWHfKtjhfA7M1W5qzC4MPWbH3ss5DRwQATMVSVBSVKYOF6vJLSXZSuqB0lCFbbUQ+PtvFlYtslnKkmEjGYMiMDq0zW78MQPWsFDVWzguKOUuyAHzF9jQlUYs2jS7PHqXO9nhK2fn5FK/qaD22qYWxokQWP00T4zASlIUQSc6TlDAl5fVBZPdKyYA1DzCD99kSN1u4oolBpN4xe3sbI6AjKeEnYWRWlZWQYy0X7bqqgUCMDoGgC8AaSF7YpUmJisVay+gnUEiD0tYkhWSHBVF9VrXkZRprqJuGpCSTBH1WkSy11FJLLfXnV9t1mBjmNU8ylz3KyuCqaZqcPzTig9i7FNZg1BfMxhBwMaKDsBxVVvcnVM6YyKq5mGZlYbE3TedWaB5MpRilIUlKrMGNWIUXhaDRkKIihPRCCVnqEowsm2dxD5B9gVayJyAVO/i8zquLXEkku1juT/5bI2tZVMwWrEWNofJxl8cvg7+2becBXtd1Qi6yCtI0P9fScJS/vWSPVlWFbWrabo0yOhOExMIlhIAPHtmHnAlFWENUwrKsm0YC7RsZCk7T9OJ8XYKOZc9Rzt2Xt5v/u8CE6WzxQyZy/REonLLlbpIblCbU5PMWo2Rt+hjO6/vCnlxqqaWW+lnq+vaG/jTw+eER5x2r9YY3b7/Cx8gwTnTdipgSu/2ezfYq81UT/+2//VemaeLt2ze8efOGDx/eczqd+O67b2jbmsfnR37x/ff4EATgHCdSSLM1t1JgrKgAvv/+e371y19RNwJgffjwYbZU1Vqz2WzY7/d8/Ci5g+v1ChDA6zIjGYT5X9f1HzH1Q6jZ7XZUVUXXdXjvub+/J8bImzdvcM7NWcgPDw9cX1+zWq15en7i9atXfP3117MC4vnpkfV6TV2JenIYBkKIVNZibUWMgffv3xNjYLNZz/amfd9n1aVhe32FrbSAunk9LQPNvu/p+x5dnIIQkzsVRfkBZ0J22cOY7FJUpiaJSNc1QMMwDDw+PlJVNdvtFoPFOXGvqKp6JkBN3s1rc8mM2u/3tG2bI3PMfO6MUdR1hXMvgdNyjlar1ZxrdTqdMrlLsd/vub+/l32XLnuWIASsC0L2UksttdRSf371/YlYVRgtc1cXfAb1kPlpVLMKMaU426qqLGSBYvSXvTxj7uHVeU6utUSVpQuFW1lrdZ6dX5KJ5z6WcwRLmWnr3Ptpkjgs5uO4/FufAUiApmmyZbyQpXwK1E3N9mpDTIFhGvBxwvlAla1UdY5bGdwka5E5R5aUr6ZpMNrMIGOpou4D/ohMXO6j2MRaVRyKKkKIjMPA0RiO/YnD4YDznkpX8+37UdykIuIYUdcNzju887OoqaprIURrxejE1jSGmBWSgrtst9t8vsliJ1lf1+sVSiX6vmW9XmVSkedwmOY8yxIwI/sqZrKQZHi72QGrEIlCCPOsI6A5BbFXf/GaZvL16XSS8z4MC9no/6QWEPInSiy/jLzJYx6qpYQ2FmtFaai1JcaEMWegbRzd/CaWbEhF8JHRjwL4WZ0tUDPzIpV8oQz6xUgMCRc83nmiD5KNICNAoAzsJGtCKbEn1dagjBFVQGHgX1RSAnxShmOZoVFkyKKQlGGpLSBiHs4mlQeqRuxWKyPhu+ViafJjV3l4mzKgqrJlrVjBxQy8yoVxyllN5GdfhrM+BkJIjIPDu6zwtBYfE91qjVYSMEyMGDNiMHjliJPDR4gqgknoqIk+zSBjyo2LNDTymMWqRSl9Po4og9kyPFXAeBo47vcE52maGm3AO89wOoGKpBTOGWFaMfmJqq2zVa28bj4Im2UMHl1Z1qsVLniOhyPeTSij0FZT5QxIUxlqXaOtEfCYBGbxl15qqaWW+jlqGkdMkoxgowUYKvmNxVZtHEeGweOdI6lEZStRRaYo1inZXlwj9uDEdHYbAGksECAqZEVlzOCVkkW2uJJn4DGiks4uAzLEIko2cjRFrZdoYo1XAZcSLsYZANQ5wzplglB5JAH1DErn/YY4israrOKcY1jaJaP13MAppc77Cq1Jmtl+VZemJuc0q2xNKw2YYtW0VLaiaRvZ1FuL1oqhH+eGK877DMS6Pm/otSqPpbCVyWspOB8JQULlZZgXxQq+gIKlQcxNQ1vXtPk4TsfjzGxUikyeMnIOtFjpgjQ8Rcn6AoBUsqOQWXN66cJ6QahSZa+BvK5KX+y3ssuDMdL8EQPZSCOD1UvjstRSSy31c9TT4yPOBYahp2k7vvvue4IPHI4nJue4uoH1ek3Tdjw/P+LcxDiNfPz4nl/84he8fv2K3e6ZYegxRvPVV+8Yx5H95x0pJdbbLcbUDINDa8N2s6XrWg6HfR5MJrp2xXff/YKnZ8kVfPfuHU9PT8Cepml4eHiY8xGNMdze3rLf7wG4u7vj4eGB+/v7PNwSxn7b1jIUi2Ip6rzkN55OJ96+eU1VVfzwww+z+mG1WjFNE9999x0gZNjJBe7u7hjGkXEcZqDMO8dhv2O73WTbVQcxUW2uUEkGkMPY0/cnIFHXdQY1V2JBejqRMmO4KCDHcZxB0zdv3sxDPKXU/Ls4QVXLsXXdimkcOfUn3Ci2qzFFfJ4deC/zj7Zt2F5dcTWJjZtzjqZraEyFqWq00ng3cnAOZSxaabp2DcWBQFc4N9EPPcaYWZmRUqRpJFOrkJ601nTdipSgroWQ3HUrvBeS+f7wzGa95+npmd1+x9D3ODex3mwYx4Gnp6d537PUUksttdSfXy4FTJAYsJCJnUpLU501KFLx7JQnkV8ioCmKyZAiBPm9VuZCyZi/EHWkZK0krDE0VQ0+4ieHT16EREnAMWMK+VTNjwNC4rXGoKzB67Pfa3FVTBfueiqDcnXTMLoJP0qeYZtqmqYlJM/oBoKPeOcz7kC2pJ0YMx7RNM1M+CmEa2sE4+iHnhSzs1MmCxVQbRZQZaygkGXHcWTsB9ZtBzHP753jeDoRUhJg0XuMNbRtO2MkSimaupa86a4FlMSjxDRHsZk8ew9JQM2qriVDs67ZbDasVmvurm/48OEjHz9+wk8T1la4yTGOwxyls16vsdZkktiI1oqqEjL3MAzsdjtWTSWUpiivYYoRYy2b1YqqrpkmR386zTmZztj8HguQcs6nMJAFvPUC3vrgX/r4LvWiFhDyJ8pWCms1U5gIQfIJotL4yVFRY0xNIqK1oP8hMyC0NtR1m1WTWtQPOmJtYcRFVPKIyabCYCApdFRiz5YMkm5oSEoAwBB1lpSL3Nw7eTyjrfw8+6kGmzMT1RnkLCzCmL2jlQVUHvJlZoTPlmUCFiaUVlgQ2zmt5+FfTLLxp9y/0bPFSGFHiCpBY6pawL0YqQLI5zVkD24l8u8kzwujcC7hIti2w9gaN00oq0FV+AjJVHjnqY0mKUOMIwrDutswhiPDGCCATgI6khLWVlAFYvRyLsvgkAu1CGdr2mLPqiub85ksRhsqXdG2HSlFrNbE6PFh4nToBTpN8lXUJHpVo2LCak2ICULAmgoXI8pUaGsJURGSEqs5pYgEBtczxZzLmSK2MkQV0DrJaxCXC9pSSy211M9Rzw87GmsggTEVRhm0knXJaIPRAa0CVdWirSakMPv9T9OEUUFU+jEK+GasqBaTUF58tuMWTCmzKZOAezEmos9h7DGhSVSp4GcBigWIlx/GkDfHgnbS1BVBabyCYAwxRdkLXNq2ilUCISUChpCK+h9UBKsNKRT1IkI2yhZkMaskZ/ZkBh+TIGwzwIrKmoQU8vlSWCWB8spE6kpRV5qm1tQWlBJ3B+clc8kYsY4R63JHUTgYZVDW4pUn+QindH5cEiFGsInogoCeRliTUck6bE1NXVfUtSghlRJVqnduBmwLKxYE6IzRybmnWMuee4jz0FBloHBCazUrPApYWWVrnhgiLkgzgoaYpPE651pWZxKX0qCyA4YTwHuppZZaaqk/v95/+AMKzds3r+nWWyGk1A1XN68YJwG5+tOR590zTSNWps5N3NzeUjcWHyZQEa0Vr169ZrVaobXh9eu3xGR4/PzE1faK17evOOyPPD0+s91sudre8Lx7Zhgj+8OE0i3ffHXNMEwMp4FvvvqWU3+ia1umaWIYe4lC0ZrPnz7Sth0qaYbTiMbw6u5OBotuYn/Ysd9JbEoB9bZXW8aTqAYO+z273YGuaQXQPOy53l6jlOJ06KmrhseHZ5LSOO8xWlMZQ3ACDK6aNafdkf3zgZvrW7796i0PD/f0Q0/btry5e8PV7RV/+MMfeHh4YPSOm+6Odr2m7jrukCHoaRDr8+32mu1W7F2HYeL5ec/19TVXV1eklDgcDgzDQHN9R4qRaZzwUVF3LaZa8/jwyDglmrqj6ypSilSVIaqJw2nPsN+dB63tiuNxj7UV2k20TUNb1zgfiVFjTC1qGT+SkhCahmEU5yOYwVFj8vS6OGVgZMgdRL1S1y22EqWIsZL1rU3Nen3N7au3HI8Hnh6feN49cXV1DSTGcWC/3/Pp08d/mQ/DUksttdS/skoq4aIjRpWHzSJ6iUmAsTBNEAKV0fjc/xkr8+fRTWKnqQ22LnbZARXBaJtBy6wCzCRUiBATYXI4O8mcW0vsWTIGUp73x0jyEZNUFrwIMFppsTs1lWHEE1LATRPOBcEBCGhrsbZmu9nM62Q4RXQPEAgxME2TRHwoS1W1VHWbVZbi3OS8B0T132aC0Rz7kmf20UQaMtEmRurcpxbVY/kSEO/sFjQMYrdKBi8xGlNXYp06DhhrWG03AgjnWBXnxEo2xshmvaFtavaHA8FP8/MM3nPqe0iJyQWsqdEYYkxUpkZFWDUtKkFlDOuuxa5XrNcrgncMg8MYy2ZzlV0VDyg1ZKzGo5Sm7yeUgsrUJB9wccRYy1XOB08p4aaJ43Cg70Udud1uWbUtkzWM00Sdwgw4l7zRpBW9m+hHIVlPwf+LfB7+R6gFhPzJSujMwjdWo7C4jHyjLuy4LlhtgvTPEzp0Vv3JbbI6QClUkkwDlYeRolxQuEl8lWMQNYRGZ4s0jUoJrRORrBAoUnN5qKxuZFZAaKUv1JAJ0oXV6vnPLo47ZyF6P9uoiiJCGCNk+zmVJNfw0tv6UilQ7ldUFoUwUgZ6Wu4H5hBhbQ3aGpLS6KYS2bltICW69Yqu6ySrYRg4+meG0aFx1IBShuCDgLZJ5WyrgIoyiNRRLg1KK1kcMoPFWkvMr4uPcjFPBTQMQRSveSBbW6ibmm7VsV6vWa06/DRxOD6LTc1pj5smya7QhqgjynlCzgtTlSKkiEvxhRpCGY1GBq2VNcUNl5gSEVHN6GzlG/MJjYsb61JLLbXUz1L9aYDMijPGELwh2IibBASS3GJLVVecxjhbepdSnFVrSp1ZgjElJu/QyM8iF8z3IHnExCDrYAbCYgyUbkd8ByR/wgexUhFWnQCdioTyKdvAW6qqqC0zmy94fAwzwYYAft6npNxEJVQm1UhWRmZ4ZitZnTiDkFbWeUwGULPiMGTyjexe4uwIUddntqTsRRIpeIJjVhiIrbkoLq21aDQ6KCbnZK+Q917la3LDvHaW1yYkGQzPLFLOFjhdU2crd4jhnPdZrN5KpWKVipDAUtK50To7JBSgUbK6E4mAteefn5WV6oU97qWNT7NuL7Kp+OM9kzrb0Bq1LPRLLbXUUj9HPTze8+ruNdfXWzbbG07HI01MME70w4AymsN+x36/4ymTS+7u7rDWst/vGMeR4/HIu7dfsV6vOR6POCfDpaZpqKuavu+z5XhLiJEPHz/y1bu3vHnzRpQJKXE8nfCT5CA653l8fGK9XlHXlr6XLKKbm2vu7m6yBeqEd5J9ZIzGGMXV1TXOTRij2e/39EPP6Xjk06dPDMNA13as1xsSic1mPduNdm3L8binqhpZh0Kgbioen3ac+p7Neg3ZZvX66opkLLd3d+yfn3l+fibFyM3tLcfTkdPQg5LImuubG5q25cOHDyQSr1+/pm5qhmEEpdhsNozjiHNOBqYpsd1u6fueYRgA5qxFsaDLdrZ5/+OcZHPaqsE7x+QCTBKnUlWG9U1D23R4FziejvQ5p2m72RKjWKZNw0DTNGhTEZXCRCVOCkF2PSEUIrHk48h2IBGCDLBLXo5zPitsNOMwUTdg8p7PuYDzTuY5aKyp2G6uaZuOu1eiZC2WdldXV5K5udRSSy211M9Sqbj3ZUDIO0/K/ViZfYP0nIBkPRaXoMSsdhQBv5LeV2uskn7QaJ0VjfJgOlu/9qcTwYsrkrGGZOQ+ZlehbL9a+j+lRMBjrCj+LAkVgeyOU6zDRQhToY3NVrHSd1eVoU4NKisIlVYiesrHrI0WclIU21mTSbhl/TnHnqkXfehlBEpRTRpjGIYhO0INtG3LarWa/7Y4BKCYHZwu40ZQCh3F3aiIsNyYsxa9Z+wT0XlqY1m3Heu2k/uLYpUaYsSairqVaJz+cGSaJu4/39PUNeM4UlcV69WKzWaTLWGl15+mib7viTHlOJZ6zsP03gsuEyMpOLq2YdV2s628LxnVpxPjONJ1HatuJdnibkJbQ7daYYyRWLhxnAVfOs8EAKr/Lu/8/zFrASF/osrMUGtRRSijCPkip/LF6FJF98IDWp+l1TKkyiw5raWZwIrdWcq5gTGRdGKa3Gw1olXOg0ppVlKU40nFmzpLgJW+UPaldAYglZoDdC9tw/jiuEuVD44uwzB9ZkEUEV7JaCjS7Kqq5sHg5fezMhKRxJNzqDLLoNjPmWxtSxRmRlXX1FWD0orVZsNqtSJ4T7fqsFYx9QNjPxBDwOgM0GlF0vn14LwIheDn10sukmL6qmw+HbPtmagvfIrYJIPE0TmRlDvHODlWbcv6astqvYbNCtsIG8KHiaQVXVPR1A2BwJQ86DKAlXPiJ4eyAiBPE1R54GvzoqFUZlLk10qrnL1FEjCX8yK61FJLLbXUn1eXm/CyVh8Oh3l9K81AXVdM3grjMKvfym2+BJzmfMQcgK61xlQl6w+CCjmDkRnAKmDkvEars62nNBTphXV6VGLxJqCkOdupJwHK8IYU/AyckQIEAR5zcCHlwUQBqGYb0jk/GmY7cZPBSGW02NUkRSSePW5Smm9X9gSXxCY4Z1cWtwSdGy+li8pAjqipKsgAJNnBoazTRp2zLBLSlBVredQ501H2HmJr45wnBLG2KYSwcjulNCkJuUps1XOmZwYlLxs3OVdln2VIyc3n9wWrtJCr8vunaRqqqqJturkx+lN2q5fvxT82019qqaWWWuqfUzF5QvT8+OMP3DnPMHj0fgdKYyrLN998w/H4jPMjr1/f8fXXX/Pu3TseHh74h3/4Rz58+Ejbtjw8PHA4HLm+vqauG+7vH9le3WZV5CuOxxMPjw98++23PD8/sdvvsxq/YrNZs73aYFTkH//xt2it6fue/X7HmzevGKcBSDw/P9M0FdfXVxyPHzgeezabLcfjAWM0v/71b9EavvrqHXXdSBZhJqvu9wce7h9Yr9dcX1/x5s1b1usVu/0zx+MeGbgqlKoYhiPj6OjaGqXAGM04DozDQIqRddtxc3ND09Q8fL7nhx9/ZBhHbC35iMM4oqZJLGSvtkxuYhgGPn3+zM3NjcwC8kAz5T76ct27u7vjdJLMKK3FZq2qqmzTLreRvZTYpxWnouA9wcteYkye4dMebWUtN9pK5uTUMw4TNzc3tG3Hfr/H+xOr9YaoBFQMUYhJZILY9fUNKYkN3fF0ZBwGQnDYbMcXssMEWQ0To+SA6mwJWzWGqrWMJ1GAhuBz/uWED571es3hsOd4PADnWclSSy211FJ/Xukya01+7s9FXBJeWKCq8t95xqpKz5v7PU3uxazNoGMG9yAHe+UYD2OojCFpidgK3mGNxVo7qymBeX4OnB2TdM6bTJK7mEzK+IDB5PvQ2mZLUcM0OVKSnMFxGlHKzK463vnsBCRAqtVGxE9RcAEBBM8g5FkUdT6+Ap6Rn3txASxrdwhhzoUsa7XWmmmahEDkYxZThSxMOmdPpovHKDOAEOK8/hWL0zJLKUSlcizWWrStZov06DzTOLLvd4x1jdGatmmw1s7gY7F2L7nTJed5s9nMvy+27ZfnoORgeu/nHO6YAdTi+BhD5NTL35b+HrIbQgZay1xH5gJLtMo/VQsI+RMVYpg/NGKFKuq4mJUCCck9LLlQBT0PIeTBlXzogpcMAxkyWUgGU1lU/nAH5/Fe/JaDjxAlXwqtkPlbwnthNUggrgyptNZZcCkKOfG/5oXasVxYS/ORcmNQbhdDRKtAyIPHkr9ojMEWcFGJysJ7j7/4cH359WVu0uWX1pkRoTXaVCgiKQiAaKwlkBi9QxtDHQIPwzMahUuS9dR2DevVlpvbK/r9kU/vP3B4eBCVZQg5H0qYjTEE8B58IDqHTnI+lZacp5Dk9UKBtuZsJYuirRtsvgCXLK5iDfO037M7nfjw8QOKhPejAIiVYd1u2KxXtE0DGgY3oKwwXZIWVcw4TQSiHMM44kOgqiymFiVOUolIzvAq9mw5Hyzlwaj/Ekleaqmlllrqn1Wr1YrWmjnvoOQEXAKKhc1nrZ2vvomE0RGFfMmaq7ILjCj0BNh6SUQBSCGBFtLRC7KOyqyiVADIM6CWErStOgelu8DDx0d88uKrahA70pDJRSZbhKpIVJFQ3AAyw0UpJc1YtihXSkBAsgJRDAtyJqRKkM55ykqBATQaU5nzGQkOa8vaqVCqNBJk+9JwJnYpLbayKZFCJOYMjBg9tqgiyPucdD7nfLHXKE1KUW+Wc6m1wrlxBlxjlP2c2OdrdOY9ybGpTBpTeS8TJc8jJFT0895NiFnluSmGMcwNGrxkkYYgzdhqtWK9XlPXNcHnhjOfhPJ3ZTB7+byWAeVSSy211M9Tq9WKm7tbwGCtpls1eC8uOD/88COfPr2nqi1/8zd/ze3tLdM08enTJ8ZxZLPZ0HUr3r17R4rw+PgkwJ82tG3D58+fMqs+sN1uidHzy1/+A5vNhv2eGWzcbreSZdSu+f7773l4eOD5+RFI/P3f/z3OT/z1X/8VXdfyww8/cHt7y/X1NZv1DTFGXr9+zTSNfPvtNzw+PtGfRlbrjraFuzvLdrtht3vm08cPfPjwI4+P9/T9ia+//obVquHDh49Ya+mHI8ZY2raRyJnK0q06xmHATQOoyMPDZ9LtLTEFFNCtV/D4wKfPn3nz7hVN0+C9z+dB07bt/LPj8UjTNGy3W3a7HU9PjzRNw2azYbPZiIVb37Pf77HW0nXdPDxMeU8SsoWZLkPUqmLsTxiV9zFWE6NkLqVMcCrHYYyZj+MPf/gD1lq22y1N0whJK04ozbznkJyuiHPTxQykJtUQQ0V0jr4fskND3itMkhWekuzltMp29QrCVPYFflZ/+mzL3rYthZD1R6zwpZZaaqml/lklWpQ0z6tRmfCanXSUMZAzHVNWLepU3HbOQJxG4jGMtZgs5lFJCWF2dhnM/WaekZeePxkNVlM1otpTCEm4AFzee/l7a7FVRUhJQDejiPm+xS5VZeJswJiEc4Fp8hlfcFSVoWmq2XUppUTyfp77Wy1KfDkxCo+4FxVQ7bIKYXY+jxmsLCBdAQZjjLPgqNxPCEHAQZNk9p7iPCOYiUcpzarIssbbSgDOtm3FfjUEnp+fGYZhViiWXnpVrzBVjbGWFOMMjgYfcOMIVUWsKvzkCE6Oa5hkbS73VZ5n2SdcOi8ENwGR09CzP+xllgAzeGprAXBDiuwOe2y+3QzAchZmXZ7TpX66FhDyJ6qw4ovF2fzfiKKOGPApoaOAk+UCI+rGeMGAOAOBSmkZ4mUgMAYZTDnn0UrNPtKCpsuHxruJaRIbWBXFTlTBzDKQjTGQWR0FYEwxicQ8D1STyipEncN7k/heey8fOGEcnJWPRmtsJazHkNkkOXpyVlwUZsSllRjlmL74ShS7t6wyMAKi6sqKFZ1SIk1va5LRVLZifbXl+vaG9XrFquuojOJJP/D4+V4s7qLYx7ppylYo2Zs5RJL3eO8wgNUKneQ1cs6hg4QEa5uVl5nZ0TUt1hoqW1HNAbyK0/4oNjTHE8fjXoaZJJqmousarNb044ALjqq2tF1Lu2qp24YQHcehRxvDFJ0A2CoRlTBftNYELcBjuXjHKIAvSlSQOWJLgnCXWmqppZb6s6uqawHD1Fm9v1qvZoWdNqKgD8GDMigV5malrJOzrUc6ZwOKWjBbmxaFWyH+pLNy8sxCjESVKH9W5lMxq+CtlWzD6+trmqZhGh373TGHo8tapEgEElP0uCA2JqlkFejM/ExyHLLcZPtRxCo+44xoI8xQY0ze75Q1WwA6Y81sT5Z0WfMTfgozWxDOoFpRPxY2qPwl1OJnmoFP4Znq7N+utAC31mRLF60Y3fTiHBeL2znb2p6t4VMKjNM0n2exyhWrVWkQBGgkFf2lODOg5AVIMc3NmtirIeSzrISYn8fF8yrvh5K5cVkpJfq+53Q6EWN8oaCdrYKWWmqppZb62evj/Sd2xwPr1RX37QNN06FtBWiUhqataJqK+/uPnE5HlJJYjtPpxM3NLf/T//RveXx8orI11lY8Pj7ivePt2zeMk+P6+i2bzYabmxvu7m75/Pkz+/2elOpZYTcMPatVx273zOvXr2iar9hsVjw83IMSB4bn5+dsz1ozDAMhBCq7YhhGnp+f+eabb2ZL1sPhgMq2n9SKyjas11ua7yxaw36/5ze/+Q3Pz0+8evWK1WpF3/ccj8e879jSth1Df6SJLaTEqutYdS39SRQE4zjStS2Vrbi9e8X9/WcOx6P07Xk+UEhaJg9Wh6cn3n/4wOScqEL+hFtSAR8v1RmzKkGbrO7QRBXwMaJSVhrM+dtCllYaXAikTKZKCeq6oW07UoLT6ZRBzyED0Tf000TlqzxsVBhjszvRiDUWkCGzNZakNLZpMLZinEYhJyHzkOPxkKnpslcYp4FhcmzaK+q6nglZ1hpQMmyuKkvXtRyPR3a73b/Y52GppZZa6l9TFQvVmImkIABjQgspNzsNqQvHocKxBXEdVFngY42htrX8fTw70GkKGVWfe3utCIDPTnaOSFvuOM8QVI4lUxkQtZWhqsX6fApudsCbnRTLjMFWVDnH0Wegy+Q1pbJ27odJaZ4Np9z3W5vVl0kwg8veeT5n+bG01nMvfbkmF+C03LaqBNgcx3FWLFZVJW5GWXlaMI8CUjrvsXk+Uoi3TV3TZPVi6Z8LiFdwlCIEElclK7OOEDDa0LUdRmkO+z0pRtw0kWLE5Hk6QFVV8x6jPI/T6fRC6amUIhhNcD3eTbg8yzmTmeXxi+1s3/cvzhUw29FeKiAvhVp/yvVoKakFhPyJKmG05SuR1ZEJUvAQFS4mlI7U1szsPaWMXGis+DnPb8wgwKJGVAcRUTaKvYgnIkz7FEShGHyUDITJ4SZhJBY5eEHrz/ZdXEgORL2HMYjtmQzhkpY8xqRKJmMeiCaFUoGkNZrzAPFsncZ8IdZKUxkB0QrDo3yoi2QZXtqxxijPJebhXgpRwiKVsD+0NdikqdqG1WrF9voKrS2b1YrXb95wd3tLXVVUxhCd4/Asm3drLUYn+lEuQHKBNuhkiTYSfZgZClGJra3PzY7BYJSAoKoMMbMtKpk9U9U1q5U0hE3d0K46bPXM89MjbhpJWobYTdchNjqPOOdo2ppffPctla3o2hbnNT5IPpdNVtQjRhNSzuwyEpCsjJx3HwPRRZIXpmbKpwvFckFbaqmllvqZSoscT0C3PCxDKcZxFMKK97KJJ4nSMJfKechwtlT9si7zfzV6vn7LWpoff7Y+NZI3DXPQufwDARlNykCbRRsDylM1DZPz+GkipIiKclsfBJhMJNnD6JJhIeAjUZo1IKsA5L+iOmdVKK2x1giYmhWdBayT7KTsLBCRhk+dLU4vbVi11jnMvhCw8uMmaRJUEsDRWCuNGhHnPUqJsrNkTqNl6CiKxzzMzPudsv8og85i9+K9A15ar5Z8yZTK8wn59SSzODPGqOV1SDHlIPty/FF2YEq/aOAu90ClOfHe5+cutjXH42luYi6Byi8t8S8ZlUsttdRSS/159f/4N39LUzXUVUvfT9xc3/L63Tux35pGbCWWYPv9Hh8S9/ePjOMoTgltS0rSb+4Pe9qm49WrVzw9PfP+/Xuenh7ZbDbUTTXPANbrFUrBbrcTAu2q43Q6MU0j0+D48ceJ9XrFzc2GU3/g6npLjIHPnz/x/v17hqHn9evXHA4H1ivpo+u65v7+ntVqlfMhLc5NXF1dAcLGX683xFDxV39V8/T0xC9/+ctsIXvg7u6WYRi4ubnh5vYqW44NaN0wDD1d29F1K1JKbDcbpsnz8PDAw+MjyacMsN7x8PwIStE00q9LvqUjec9qveYuRt6/f89vf/c77u7u+Pbrr9BazwrI8lxA1royjDwejxyPR6KXYWPTNDm7SxHwMyFY4mZEJWGSwSpDu2oRO9o9p9OJlBI3N7fUdcM4jhng3fH49Mjmak3TtXkQKYNmLczqPLyWwXMs2c5ZAWIry+QmQvRYTAagByY3EoKnagyN94xHl4eQQjAPUezyRPHp874E6npJi1pqqaWW+jlKZafCEseVfzjP7oWokl0Guey7inOgwhY3G2Opcz8ZQiD5kEmqGazUGrQmkggx4oJnCh6rwKaEi46YhUhW/F3FrSgKSBqSuBRJ3IkCbSS78cKBMKaEtTYTWiwpg35KQ9tYtJE5hcy4IWaV3zxjyM/Re09Uii+Jrpc96wuCcJ7ZF+BumqYXYFwBE6dpEoKRrYgpr8+KmZRUZhgFSyigJhRStdirSmZjnG1P4RyrklIiek8/TISYHYlQNHUteEBWZLrJMQ7jDF62XUdVVXNGZHFeKE5EJWanbVtiaIi+om1qpmmaXRmK8vMyVm4+PmXn4yzHfmlp+6VL5FJ/uhYQ8icqJBnkCWKuUT6IFUdhsGcWv3xgZLhF9ou+/AAXdWT5kBljhDHhnAS+DiMkqExF8kHUkZPPEmy58JhiFRajgIV5+BVCyLmQalZezJZl+XnEGFExzOoCdAEHEyEKcyIGSMbmgalswnWl5YKb76dcFNCKmgaf7WpdZjyWENvCopgVkPliSrGwzR7cxmpUSFgjoNxN3fD67Ru++uprVqs1t3d3rLpOpOHHo9i3aMXVZsvbN28Ifc906uUCbSuGINkYTdsy+sikJpq6xiqFAbxzopp0TgBgbWYbmbquJWC472nbFmvtfPFVefBpq4q7V6+o64rd7hljoK1rQrZyiYAyhpBSDqF3jOMGTB4kK826a6iaGttURFJWrHiOQcKFrbXUCvRkYFRom3MuFYTkRZWy1FJLLbXUn13TNKGMntfmsvG83IyWbImSr1AYdFrbDLRJ9mDJHwbEEiYVN9A0s+XLZtV7cTa4ZD2KnVnAu/NmvfxuGidiSLPzQIzQj4NkQ6qEm4ZMqFFEAsqc2Y0ge4Ho0mzZbqIwQtWF80JKmqTVvN6ZnDGhImdr1xiz5jKRArMSUvKjRYGYkp6BuJQCdX3eas52o7lZsFoyuZRSxCR2LsZafHAvFKNFfZiSOB/UdU3dNEQKE/PMovTZAQGVUPkJJIr6USzZz8Dk+X5lAFnWV6GJJSJVldURWqHUmXgVY5qzL4wxc6ZVaWDGcXzBGE35PF6qPuCcR1EATckUXxwPllpqqaV+jtpsrviLv/hLQkikqJgmx+l0IgRP17VcX18zTSPb7Yb7h2e6rpt72t1ux69//Wtubm64urri+uqG3/zmN2itMKbCB8fhuKN+tjk/uuZwOGRSq+L9hx9YrVasuhXeO66vr3l6eqRuLA+PE845NpsVj4973r59Q1VV/O53v+N3v/sdt7e3Yp+qK7pVxzRN/PjjH/jbv/1L1utbQgg8PDxwfX2dwdIEqWIYBuqq4a/+6q/Y7XYMQ89vf/tbIHE47Ajxa0LwNE1La1dobThME6iEmTOoEm0rIN7j/pnd8YAxiru7O3a7pxlY3O/3rFar2Xa2qiru7u6yEjTx4cMHquyoNAzDnM/U9/15wJr3P03TcNwf8to5QAhYazkdRhkgxkRT17TdSvZRzhNTzK9loG1buq7j8fGRx8fH2RZ2tVoJyHk64MPI6RTy455QSlPXDV27wvsJwR3LPkARYsQane3kY1bXKJqmBhUxVvYK/TgS+56vv35LSuC9KCdO/ZFpGtnnfNAyH1pqqaWWWurnqRQjfhoB5n5SnIcCIXkowB9KshyVxKWhmSPIog8v1HmF8JIuerMyxw45XsRWlTgGJiEKa2skNkshdt/By/0ZTQoAWv47k5Qr1TD5gNKSJ5g0KKsF+DQaZQ2mthhEoBKiJyZxC5hyH1k3DbVpMuFFi8OTVYzThAuBkM5KyzLDgLONaHm+pXct2YZaa7Exz1mJVVXNSsUCIjrvMDkersTExXTOgLaZOF1687LeFyvXaZpmcm4h8ZbHTilxOB6ZXJiPpW0lgzF4L8pHJSRvnwHGmJ+T1lpcDzPptzzHP+XMgNE0q46qbebj8dNEVJLvXFUVddvM93Xp3nDpaFSqHPuXMXVLvawFhPyJMtqgjCjmVL54JYDs1TzFQARsFdHYbNkmAJ73QW6fuGDHZ1kwYLLpcLkApCADsODPUl5imkdh5X7LhyybnuY3ej5gJSwJYLZ+K/apCoXAi5xl3yqr7zhnVqUYZ3WgUfKBC8ViLhRL1nP+Epy9lotv9OUA9ew1LX+HVlhl5OJqxDbGGkvdNrTdmm+++pqvv/2WumnFIjWfOz9NpARt3RCTYr1a0dUNcRjxANpQ24qUvCgIg2Q6EaIMMJUoG4TtYogugjLEEHDTJB7fxeIF0c5rq3PQccJoTZUvPikl6rpmvW7ZrDqG4cQxRqjrPIy0ECPH45FhGMBAMgq0ZssWW9kZ2FXIBavVNboWFkzmUsw5Iyr7mTe2Qlf1z/smX2qppZb6v2mJtYlsGKu6QmsjwyaYgcNCIEpErBU3g8swd+H+6Py32So027mWTeglI+4SXLu0QgnhrES0qroAuyIpyWZ/eBaLNmFZViQJjRY7cyTfUOcmqbjOFLWjqZB9QRSLV40oIy8zCQuoWNSG8qt08SUA5Hzc5faQh7LmRSNxuRf4U98jCZX3HAWETGQwMQZp4LTYv4YMJZa/r+sanfM8Sy5UaXRCcGSB55kNqwoxS3HO3iznKmb+luyQiiJCK4PJFm1nNWSxnD9bsBYlZl3Xs/pR5Sa3vPZG27m5u7RqKU3fS0B0IRsttdRSS/0cdRwGfveHH7CmZru5oj8NvLq74+n5iffvP/D4cE9MQa71SoDE29tbrq6uOByODIOo6Yb+nv3ukPMO9/z617/m2+++wXvP/f1n6rrm3bt3bDZrfvzxPdvthrZt6PsT0zSx2Wx4ePhM3TT5yBJVZXl4eHixXrx6dUfbNRz2R6BntdLE6NA6sdl2fPx4z9t377CV4ep6m1WAByDRnw6iCOyPbLcbvvnmWw6HPcYYnp+fGKeB3/72t3z77Tc4N+GGCa0sm+2G/njMhB9F161wfmS1XjO5wP39Pcor9oc9wzhw6ns2mzVd1zE5Iew2bSO5S0azWq/p2pamsnPWEzArEwshp+s6bm9vZxCzaWpWXcvpdOK4PzD0JwCmccyuSg6SDDdDClRdA1oRwsDhcKSqKqqqJiV5rL4fRB3RdnRdx/PhgclNuGliGEZiiNR1w9QNVFWDMXaeqWit2a6vZPg7RYwRJYsQi+JMXApBrOhvmpbp5AtnSmxn246qsjkKZpr3iNPkWGqppZZa6s+vGMOc1Wi1RmnDEEdSzPm7GunnlJIZdia36jIfRgQ2MpvW2SUJUkR+ptRM0kWJK2EqLj65557/Xqvi80pI0q+TXf8kSiTio0clccSLSmb6iTL/j6CixHL5CQg4J4IVSGLhmiSHUmeAUwDQfOzWolSan0cIEf2FW09RDRa1X7FKLb1nsVIH5hgznwnApY8927VKHrK8DpfirXxeLhSUJeaugHhlX1DmJJd2pkJuligVUV0KgOmdn1WgXddRWcs4jEzjSIiRaRxBnUnJBUAu4OOLfhsZlPjg5xlCIaBfqiJLRiUwg48zJnLRu5fv51nQQjj6p2oBIX+ibCUfQpOHViqz43wMDM7lLAIZyulsrQryBp1GB6i8qTX5TX+JjuszsFVV+JQtPGKcwUmtFEYbUoSQM5liFDl50gKOnd/gGnQSdUNWQxZFJOmcIZlvSQKMliSpYnGmEgQfSDphq7P3dQneVVn6nGKWkc+DSvkwFpYjnJkAs5LQKoySXEal1Zzh1NgaqzRWG1Ztx6rtaKuaqpWMCj9NqARNVbFdr+msxYVEpQ0qJqLzECJGaxpjGUeHG0fC5IheAMmYFw0Vk2RxGgOI3L42Np9nTV1VNHUjqlRr2azXXG22tF3L5DxPT0/s93uGYcAaTddI9kTb1Ky6jv4ocm+l5LwPfY8PQRSl1hC1IkSPC47OdaRsSWsrWTzEAqDOQ1iH1RoXvFjgVpbVumM1g7pLLbXUUkv9OVXXFU0OHi+2YMMwzCHrxb5DRUUI2e08Zj1/Xk8LeGiMReu8+YyeiDQeRWU3r/0otIaya38BAmaXADXfv6yV5KD6fhiE2BITm9WWGAKkmO26zw2S7FTUnDWRUsbdxIcdpRIGjU7ZTpW8P8hWrKiyoc7HjoCxsl0QCxltNOrSqkSbuXEpNiXyu/yHnPcgSilc8KigUN7PIGQioY3GJcls1EmXgxY3gQyQFoB2znsIAR/8TIRKKaLPDjNS58Mo26PzeS+vRWbPguQ1q0zEgvNjlv8uz+P8c+affamy/PLnZc90WS/uZ8Egl1pqqaV+lrq+vpMsx/tnHh+kT7v//Mh63TGOEwZAJR7uP9Gttqw3Vxhj2G63GGNRag/Azc0N1lY8PDzw448/ArJ+d52oFB8fH0kpcXV1xXa7Yb/fc3V1xXq9ZrfbZTcfS9M2eO+pKsPV1ZbjUbPf77KjkqZuLO/eveXdO8X9/T0heA7HHu8Ct7d3nE4Dv/nNr7i+vpnt17wXpaF3js3miqura4zRAuqt1jknMVHXr/n8+RMfP37iu+++pT8dsVXkcNhjzcDVzS0+yHCx73tQYiX69u076rrieNoRU+LUn0gk6qah7cRuttTV9TXjOHJ/f8+3795xc3ODc47n5+f5fHVdN9unHo/HWa3Q1RXWGLSC1bqjP53YPe+obSWZX8EzjQPBi+3bcehpVt1M/vJelBCr1RprK8ZRVJTT5FCKOa9RZimaw+HA8bDn8eGe9XrDdrsVm7YYGb3HaPAhMLpJSFwkxqy4sVWxgTfZOUtRVTofh5sHrc5P2f0gYa1hmqbZlnWppZZaaqk/twrl9sw9Lf03JC5/IbFbaZ6zKy3RXLqAeZWVOXFKSHiZJpX+7AKILKrCEmGSAGt0BuleCnFSgqq281xciLOOyXuMNZKrmBKoAErLLCF5Jjfgg/T/gh2ADxKRkjLoqa1BWyu2RVqRNPgY85p0jke7BCCLAOoS/LvsVctzK3ML51yeb5973TK7CCnN5yCEAErRtq3EsUyStXhpx5oyePkl4bb823v/Mt4keMEzYsRl+1WfHRhXXSeWsCFmJatCVXrOcCxAayF5XfbmReHpp54S3VKs4stxXIqsLonOl+frEgspoOSXhOul/rgWEPInShXwMIHKmUdiI2qo8u+TUlS1FWVjtmM9W5Fq2ramaVqsreY3tcgL5I1qjaWpJP9vchOU4NsM3MkFS/IUi3JRJ7I6U4mS4fI9fjFdm3MdQxALVhuR66mWa3LJNMr3FbnIt8qDMhVFYm6tRY0jMWcbojRanS9gl4yA2XI2nfOYrDKSR2Vk4KeUIimN0gLWhRipq5aHz/d457l+dUfXdTLMdJ5pGBgOR6LWjMcT+6dnDrsdw7FHJ6i1waHwk8MPo0jZc7ZmsTNNKaGTDBfrSgbOTV1T24raVjS2plJGhrIhEp0nBVFV+nFiPPW4YaSxFdYa3Dhh1mtevXpFXdc83H/i8+fPDMMJikVdSnOOV0qRvu9x0bM/7CBbvFZtha4N1ZSDdLVmGgb85NBWCaEmZ2mmxaVtqaWWWupnqUvArNR2u50HYmdQKzEMw4ushC837GWt03l9dV5ANXE1yGBUdkZICsl9ntdNELXd2dkghPMxFfVdsQMhZxYphExklZH1XGtCDJK/jDAOix2sLB1R8pxTUfJpuLAYTZkdimIemhVGp872MWR2pTZmBiFTStj556rcxaw8/FMbchFvXuRpCr4nTZUSYk6xclHwwtqlNApjVkfEeGYrChFKgdIodW5wLh87JZW/5IFjLICx/EzUnSbbrVZyYFy0uErOR3k/lAbrMpD+stGT98T5HFzatZzdIi5AWr00LksttdRSP0c974+8fv2Gu1dvGIeJ9XrN8+MzD49PvHl9y6vba/7ww+8xtppVij/++COPj48SDXJ7x+FwQGnFdrvNqsYt3377Lc+7J1arls1mxX7/zI8//oFf/eofeffuHXd3r3h4+Mw0TVxfXxOCgwgfP34ghMBqJfmS2+0mx3cMoBLO6zka5O3bu2wveuD+/p5+OGGNOOacTke6rstrD4DGKEsMivVqjfOO/f5IVVm22yv+6q/+ml/96pfc3t4xTgP/+A+/ZLtqiRGutle8evMWlSK1sRmwrOiHEWNrttdXpJRoO+l/1+s1p9OJ+/v7WeU5jiPDMNC27ewO8PT0NA8Cu5zVVPZPbdvOmZLHHLkSV928nnZNy6pd0VYNh8NhJgzP66oxDIOfLc/hPMgsQ9BiAwvQtg1aNQzDCTf5/LNWMjv7E6fTgf3hidVqzWollrzO9WK5lyTf2nmH80IO9iHH3GhNiInJeSFOwaw0UaqliqJ2Fct+m9WaSybkUksttdTPUToTXoNkjBGDWH8GRbZhF3KqSjpHjxnEn1D6OgW5p82qvhxdktAonXvZ0h/rLBKyZr7+F0BFqULozQ451qLyOlSUfeXfzjsmN7Jp12ijBYPUCW1BKUMIkZCcHH8GNZU2BETIhBa7VmUMymp8EFViDJGQiS8hhhez+gIkXs7o4Tz7vwROZ+XiBeBWALgXQGWOkClrs9JnUrcPgWHOrpQ1sdxfOZZi135JzL0k+AbnSSESvKcExFVVhdWGKmMryQesMTSrDlNZHp+fZhI5nIVR5fFKBJv3QnBu24au6zDGcDqdJG5vHGcQNwGTk7W/CM4u3awuScfzPCWlF3mbS72sBYT8iQreE6pKcousMBtsXdFqRYXCp4gvH7wUilkr3hvqpsLaOm+ya5TSmf3mid7JbC+m+Q1ePvRKyeVQ6exXXQCoC0DPKD37L8vFQIDIMra6ZPgX0NDoQPIejUXpiNLmbNNaHjuJBWxIwrJw+XjrWcmZGfw5F8pkIPVLC9bLIZuwDRXJR4ImW6/JxUb7wOQ8gcRWSaZUDIGh77G7PUZr2rbFTRMfP37kwx9+oNWaOE48f37gdDiSfKDtOmxSHBO4cSIFaaK0jaRxzAwKAWd1RiSN1vMCZLWRzM0QCdHNEnIBOU8Ya3HO0w8DpMSq6zBaE8IIMc0+101ds1lvqCpD359IqZbBaW1kQZIkSkLKmVDZO3uKjniKVLVlaAdsXRGiJ3hPY6XZDM5zOhw45cZpqaWWWmqpP69iSvMGOSEs+bptxaa1qnDeS3OS17SyUb7ciBfLEriwFCHO1ucFfCybYaOlcQkz+JWbFpXy2g8qalkrk+xDYl6T66bBVlbINZO4IkgzcraXUdrIOhMjKQZiPAORibPTgrXiQGDtGYQMGTSNKQnomEAnJXsOK0O/ouBXOrNCtZi9q/yMLwHdLxWCl9+11dIURsQWx5xt3hPS9dlsn1IATZsbuqqqpAHLNrSXjVN+tGxN/8eSQjk+9XKfFMs+7HxfWmcwc35u570VKdvsZED6Eogs2aIzCWxWbKaLxz+D1+UYim3M0rQstdRSS/18dTqN3N8/8fr2NdvtNTc3N9xev2L3/MjDwyfev//IZr3lL9++YXKRw/FE3/eklDidTjw9PdP3PVfba9zkeX5+pmlquq4FfUVdV5I9uO7Y7XZ8/vSZfuh5ePyM0QZjNJMb6doOjc42oSdxvLFCUI0x0g/CyBcL14kPH37kq6/fSJSIjtS1YZp6VJN49/YrTqchg4E9AOv1luQN4zhxPA5Ulc0kGjEU2GyuuLm55Xg84J3Y1+2ed0Ic1pq3776i73tWqzWPjztkMyKziGEc8c5RWVm31uv1nH/Z9/289pmc/zRNEyBgrgCt23nI2HXdOa4EWK/X8jyOJ/ZPD1gjFnfDMNCfTrjJsdlsqCtRQ47jyDgMoBTrzZrJe1xWHqa8zu6e9zmjs2GzRvIZTz2rdUtlaypb473jeDwwuUkGmHXFOAZOpx3H4zMpJt6+e8dqvUUbiwy5xQqua1ey/rtAikqIzqhMHkvza1rs96+urjge94zjSNu2NLMl71JLLbXUUn9OFQdAlSNGQgwYo0lJEaOaCcEhE3GLm5/8ncy/tTGiJMw9sAJxB4JzK6lFYKRzH5xiJFwQkkkSuaJKhEcR+1y4A6kLK08RNyW0ESV/Kk5F5vw35z4SUJGIRivRFMlMORKDzDNU7jtd8PgkgqJLULFkOgIv4kG+BCCL5Wi5bV3XfxSzUkDIcXQEH0WclYVN5xi6l72u9Md+Pp6Ca1yClAUkNMa8yHVUShVOtOAulJi6OJOe2rYFrWYRUznPcAYiC/hZ+vS2bdluN3Rdl8nXZyzDfIl/hCAOVJxnBbO69ULZefn3S/3pWkDInyjnPTGJilBrhVGgp4DFCus/BNLksoVqzBc5Lj6gLwNfnXMMw0CYRnwEg8pWL/rCpqtMxpjtVmOMKNL8wa70hQVaNOXGYq2ayMPMwgiM4mbmPckIc0LHlNWYoqyEzAYpE7YYiS6JqtD5fPG5zK4Si9OkZKB6OXQsF6VycSsX4RRLtlYODA5Bzp/zaGNo65rXN3dcX19TNTVBK8Lo6F1g7Af2T898ev+B8XCgUZo4OqLz1MaybjuiC6jMhtAoKluhfWQi2+hGWRRElZ99wDMgabXkfqYYSVrCb7XWjMPA8XSU86+1WNWmhLOGqmuo6o5xGnn//ohSibqqqIzFrlZM04RNIQPJSvK3jCVphY9ewpDbGmUMPnoO/YGUAklBk+0CCmOEJAhzCAk/jP9XvuWXWmqppf5vU5NzqJhz+xAmpMtst/I1MxgzuDSDaBeg16V1h3yJDXd2Uc8OBXJbpXMGszlvgo0xhBRkjSqMuij7Cacl0wEDVZ2BUOdxfszrfH6Isu+wkkmcUKJ+TIkYwwUImEFVo7HGEGLMLE8RPcb8fLTRmAwGKq0xlcVWFh/jvOOQsZvCaDUr/cqg8ZIdmM8SZ5Ocwq/KgGfeJ5iy7iHkKqX1CxeDkBWLOsptS5MyKz4vzn9ja862sueSPdaFYU+SfxudlZxa5xzI+S/y3mo2+BEQMvgXqtjLhqM0K2dXDAFqL0HJ0sAUELO8z87HtNRSSy211J9br1+9Yrc78v7jB2pTczr1fPX2LZNzVFXN61d39MOJv/+HX/Jv/u2/Y73ZYozheNyjjeHqakNdW/b7HQ//7Z7D4cjbt1/x9PSEMrDerHnz+jVKaYKPtG035w1aIwO1FBOn08DVpmG73ZBSJATP6XTkcNxxdXVN13UMQ0/wkjGYUmK/23N9c43WhqurK6bJEWNif9hxfX3LMAwcjs989933pAjPuyNN0+HcxDAM1LVFGyV2YgfH7c0rnA+0TnKeejfy9s1rfvv737HZrLl79ZrJDWgtg8i2W4GyTM5T1w1Ej9aWaZqo64a7u5bHx0fadsXhIH1ssUJVShNiFLvVyrLqVgBM0/SCnN33A3Vdc311RXKe/nTEe1GKphgZh5Hdbsd6vaap6zOpKsFuv8PYKhPFEy5MpASn3RES1G3DZr3h6uYK7xyPjw9476gqS1XXXF1do1TieDyw6loOxz3Pz4+4acIYw+//8Fu22y1X17es1xta1eCdoz8dMbYixsTxcGKcxMlqs9nkvUu2rceglMxpbm9veXh44HQ6fUGaWmqppZZa6p9baUYJ0wwAzlEjzG01GkVM2bhQ66ygzD1XznaMKUEIAqRdqNrkzjLx9kJBWFpbo00GJoP0e1r6QIUipkgMae6PY45Radqa3A1nHAHxLcr9pArZtijLnFIhuCQ5zhCDRJskifa6tIwtPXhTtyiY8w4LqFf2GJczfAE+w5wDaYyhaZoZGCw972VvG2LEuUnyOLOF66VLULnfAoIadRYwlXMfY6Su6/lxioXqpWOC1hrvRKCTgGkaMcZQZ5cFcZcUovTN9Q0xBB4fH9nv96Q8T5+GkRNHjLVZuZm4ul5lm3bLOI4zqFjAx8sMTOecuFBd9PCXv5e3yOJk9P9PLSDkT1RSkaijnKnCbjAC1gU/QQjYJMw4Y6xIp33AKottcuCrkgGdj4HoJ/kKAeciPimsTTnrQC4K4zSK93OMpKgQtzS5sBU2vspWYGgFQZgBKqVZiQmKFD0qA5wgwF/0E7aWC16MnpQ0MUVMjFit0ClhbIVKiExcKULbEaoaW9fopCUby3mSEmVoUOcA2aqqMNqiEOuxF/9TBq2tqBdSAqOxlRV26c2aKoLf7aGqST7w4fkeZS1N0xAmz+7hM/1+RxwdJMV4ODLtj0RT8Tx6UvD0+z06hxN7NxG8l4t/SCLhFtoIxhp0VFhbUWkr59nYbN9ylotjQFmFTZnRoeDUHxmPI44WW8KKo0MRaYwE5yql6KeRbr2iVYqh70kh0lY1ymrQDZGEqSrqpsangI8On71WrbXYpiKSGKeelBWxlYZKLY3LUksttdTPUZqENaKKs1Zjq8JKBFsbWtVkEhBEd7ZcrapqBplKFaIRyPqcYydIKFJUsj5nO3CFZD4I+1EaCqvP9lzSSOT/Brzy+X513jtETF2RQiSGkME5Mugm7HsfXmYX1EbNykIhSCqigpiyZjNlK9hMzokZmLXWUreiwEQpdAiSmVmUoNqg8wDQX4C28nUGbF9mSKfMaMyqSiVaytluVtxUZ1DRk3Ap4kfJdQoxYlNmbloja2Q4nzutDc752Ur2sgroexlOrxTUVUnLvrTHVefXOGc9p5iE2JUU0Qeil98nnV4E2UfA5CYvpESTFaelMSzPrew3yuOIg8USZr/UUkst9XPUqq7ZvO0IIfHw8MB/+S9/x/39O37xi1+wvX7H1fU1b9uWdn3Nf/mv/wfb7QalI9e3V0ge8kS7NjzvR1wY+cu//p43r9+RkvSRx+OJ+/sdm/WaYRzRSnN1dctqtcJNjsmJ4tF7z29+8zuurjZcXW0J0dH3B5SCrnuFMZZXr255uH8ENN98/Rc8Pd5zeB5oqhVYhdUT4zjy8f0nfv+7P3B3e0fbtTx8/ojSFh+gUQ0+ihXb8VlyKTebNYfDnv2h5/Wrr7i5fo33I7/+x//Mw/Nn3n31iv/tP/1H/uZv/g2vXr+hrjusUZyOe5pmg1GW/tjTNA1GN2y3a9w0UtcN11cy4OzaNePYMw6OcRq5ub7mq6+/4dQficDj824e3m02V1SmQtuGlCLTNPHx0yMW0KpCKxgHBwqaboVSCWUUoxvphxMhCBi6Px4wRojPtrGZCJRYbRpC8Lgw8rTvhXSlLZvNFf1pYL/f4fyO1apju11T1x3GwNX1llev7nh6emK3e8KEyOdPv+f56ROb9TW2bthurnDDxDgNkDTrumbdtPgQ2O3uQSVWq9Vs7au1pa5lz/ju3Tv2x56PHz78C34illpqqaX+9VRIiUprIiLmCSlhcl9rUBhlQIPGYJAcX7FkLb1YlHm5UqTshFNiUGSteamKOwNNL2M2lFLifpeJq8EXe06DtooYPd47IoGmqWi6Oist5VgVkAKYujrffVZnopQoIFPETQL6paRwbhCQDjMTk42yecZgZuLOJQG2qqqXYqELMFZsw0P+AohYq6kqg1IW5xQxCuHWe4+yGqMqlBGycrEaT+U5pSx8SikDf2U+kHIvLI5DoPNa2c627dpYlAnUbSskI+9JWhSok/eE44Gb6xtu7m4FDM0ROlfbLW6aePh8TwpRnJGCHIN3juHYY62haQVY7fueaZo4ncQFYxxF8FNmF0WlOU0TMTHPc2KKhHieM1xmbsrxLhlq/1QtIORPlDbMll4xSxq0FnZD8gIUKiQLKQRR2FU5Y8oYm23OipWYqB+sydafMZLCpZ1XumAFlHBTPXtI40WpFwvDIN9nzD9L2Rq1AJUgSooYoygalEFpg84XZdL5wpvyoFT+Pqs+EAaI916kx0U2ruRikS4UIcIykf+OQUDAoqYQSbaBpGcqitLipT2rRL3ndDjyMX5g//QMSvHQHzBNZpD6yGG3E+WjNuACfhjp90fGBEO2VnXDkC/ggckFonPCVlECQGpEWVEZS101orLIioYS+lsUEJchuiqrM1zwJKXQlUj7BzdRVQZjoDI12qg5tFZZzeSdeHM7R9s2rFYrtJHBr08RVeXBbJDXf7YHKHZ3+f2GkuxPTUIvoZBLLbXUUj9PZVYjnIGpkjV0mfFY7FLhHD5+aV9yyeiT7xB9seWibCTm2yj1Urknh/LSuvTSQuTSBkWakczaTKLsi+Q9A4oUCgsxZCaogGrFribNx6rPzgvZnjRlIFKUBoXx+ZLVl3IzMe838vczE/VlvcjKnCuSoj7nHefzkjJ70tiXz7lY7KSchZEuDunSEuXyHIldzvmcl++X5/vcMJSfMe+7Lh7hxXlRKoFmzmcu9u3l/rXWkgOdzs8LwGo73/7SmnaaphePp7JKdamlllpqqZ+hUuLjh/ec+gFrLX/9V3+J1obHxwemydGs1nz77be8/fprjNF8vv8kuUDRs960dF3L73//e2KEN29e0TQ1w9hzc/2KrltTV+2sbtturwHpIUW5OLHb7eZDsdoyDCdC9PP6U9eWz/efWa82jKNjmjwpQdO0fPfd9/z2t7/heJSMSEhst1tijHz+/JkffviBt2/f8ObNGz59+owxHVXVsFp1tG3Lfr/He8/hcGS93tK2Kx4eHhjHkW++fssvvv+e9+9/x+PjPbe3N/zdf/5P/If/8L/w7t23WKvpTwNT0qRkJDOzqtDGEGOgqiSbuapqdrs91hpihBgDdVXzvHuGeCZr1XXNbrejadps4ZryzxuMqTC2Ik0uD4hlPqHzUHcYBqpKo62mqhta3dK2LXevX3E8HhnHkSk4QvB5wKpIaCpztokf/cToRbGy3mwZBs3x1LPbP2Mrg7WaurYoBVVds9lsOA2JN2/fcjye+P0ffofWlnfvvubbb37BMIwMwzTPSBSR7XZD3x/59PEjbddye3snlnLG4L0oKNbrFdur7X/Xj8BSSy211L/mipdqxUwgVRnYu5yOq7PhkBBekbn0i58Xv56kzv3z/Pfqj76KIk5rTUj+4nYyT1BKiQ0sBm0ku1EZIRvXppqVh5c9qg+emLLKU19Ep8UkKnutMzn23HuC9OjBZ+KyUjOgdnnffyp/cX7m+b6KOrCoEuGlmvJLy9KiYCy/c87Nj2OtxebHKvOSL92kyu+mDCTGGIlBrFaLitLntbacn5Q0IYZ5JhBjxKAYjidxJFSarm4yYVosZWPdzHbxWmv604nT6fji+YWshL2cKZwJzPbFcZffl7lNef5LvMr/eS0g5E+UVsUaKwN6IaCUmS9mswWXFgVc+WCI9DoRXFbiaS3MghBQUX4fOFu4+ST2Kt772YINzj7KcgEVKXPMSgOBDcvgTSTcs02cylajMeZBmUJbS2VsEVfMQzWytDskJXlPKaGNxWYwbL/fg9Fssk2ZrSpsCLj0MvBVKzkn5SKcimzZGKwSq7NZraGVMBJUmO3ITqcTp/1h/kB7Daa2KBRuHJmGEXyEtkP7SHSe5OVCMaREnLJNaYxEJzavxEhlDMFIXqfJlmt1U1NlZoicZ+ZF5nKYXBQv5bsLgTo4MAptJZszpYDzXrIyKk1tLKay+CAsDTeMxOixtSWkKPkcKhF9xI0TYUgMY4+LDqzI2ifv0XmoXNU2s2SAcD7nSy211FJL/XnVtDVWC3mkgG2yAT1vRMv6xkWzcbm5LABYqaJk8/EMbpXup2xS55zGCzDzsi7tUebN+BeWKSkWh9Bs0pIJRed1LANxFDXipf0oQLxgIJbmqzAuIcslhRmaEiFElFYvjmNuwrSalYgvzkNWRV42P+XvtDGiwswmBV9ap74A674Aar+0fP3SDjWlkEWWZzD38r7Lml6s45UCknvRbJ5fn3J+L7/y+8BkgFKVJla9UFiGcvuL1/DL/OwvX1etNSYu6/xSSy211M9R9/f3aK357ttvCCFmkpGQhOs6cBonfv/73/P4+Mh2vWKz3tA0lsNhj3eRj/tP7PdHbq5v2W6vUEpcfCp7ZL8/8t23vyDGyIcPH/jbv/1bmqbhcDjM69/d3R0x25I6a/nqq68YxiP395/RGrqu5XA4MPQjxlhurl8zDCMPDw+4zZrNZjNnL67XK7TWtG3LZrOhqiru7x84HA5cXV1zPJ2QNT3RdR1XV1c457i/v8c5R9M0tG3LNE0cDgfaZsX3v/grgo+8//Cerl3xv//vf8e///ead2+/ZrVu0armsD9mLpUoRoZBlASFROO9w3s3Z0d1XcvzTvryaZrY7/d88/W3s+q/7/uLQWa2anOOrqrRdY33nnEcZrvzrlvh/URKkabuUAqcC7RVxe3tLcYYPj3c8/T0KOfHNNi6AqUIwefBJpimwpoKpRVVbbBNxTT1DMOJyYm1XVWJWqNpO5RRxBjQuqZp1hyPPX/4ww88Pe25ubmV44qB4PNeR0c22w1dt+LD+/f8+vnX3Nzeyu9QPO92M0l7qaWWWmqpP79mpaDWhCwGIUYRbyDz/EIyPfdzUQjCSmxaz6Aic88uIOUf22te9onle+nlQgwiQMrA5nx7pVAq5rn+mTx7GfEinGX5+eTPYKbWZv7v0mNexndcHk8RN833+QUwJv382c3oy/zGMt+YSdn6nBM5jiPe+xeZjZfZjiqLl4ozVAFWC5BZ9kSXRNzyOAUTKfcBmXyc/z0MA8MwYI2hspb1eo138vOHh4cZmwmTm5+f1hKx5rzHGkPbthgj+5ZxHPHR0w8nnJtm4PFlfmURip2zObV+qYgtIOQlsFuO/bK/X+plLSDkT1RVVVhdnd9oSqTbOlucijpNU2mLtbVYo+ULW3Qe5ybJcbRGlIRJciBRiqQTZI9k+SrZj+cP5sthWPxCMXHhUc3lhS5/jwEKSIkE4eoUIURUOivt5AKrCYl5wGhswiqND5GQZCCbSBhrxD40BpIL2QZbYZSWC3hMkr9IhJgwCXQUANdYLV7W+eIeg8OHKX/A5VhUktzLddfQrlcoLezHh92e6XAAH0mnnkYZlHNY0UITMzhbQmqj93JfWhODMClUSiTRgZKQi2nSMpj1SeNjwEWPi2VYm+TCFzzBj5z6nqq2bK42EvgbPShRfLooqksfFLGyGGOZvFwAk4VK1+jK4JInukTU4ILDxYALgd6NRCO5WImE8w6Vg+5NLUra6AN+GhnG4f/y9/1SSy211P8dqlm1WJVIQ2TyI6H3aKWZ3MTkpnlDbLQlTTnfISEWpIiFaIxx/m+rzdmmNTPwFaDS2Z5DKck7LOAUGagqG9gvAcnZ3jOe9wDCDCy5iQoVMxA4q/Wk2TqzNBUqxQx+yv0WspQcj6a0WlprVLZjLcBaJBGDR0VZ8+bjzGrDLxWGl3ajJTviS7BV52xMrRVJKVRej6XpeXkOlFbYymZu1Tlr4lLNWBolaSDOQOyX5/QywL40UmJIMM0N3FlJyrw3KwH3peGr6gYjrLIXTV5VVWdmZCzW+hHv4/xaXg4gS5NXvltrsct8cqmlllrqZ6mulsygd199xTAMYr3lZFA2TROrpqbrOqbJsXt+ZhwHtldrtDY8PD5yOh25vb3j+uqaYtGmtebz509obbm+vmJ7tebUrzn1B4xVDOOJYuFlbI3kPQWed4/c33/k2+++4S/+4i/5/e9/ww8//EBV1XlAqOjaLTZHezw/P3Fzc83t7TXDMBBj5HQ6MQwDKSXevn3Lfr/n8fGR3e5At1qjdGJyI0/PD2w2G7RRvHp9y+fPn3F+5NWrV6AiQ39C1ZqUNN/94q/oB0dVd0wf3vN3f/d3qP9Z8Ytf/EWeIzhCgKdnhzGSnVTVlmlydF3Lat3y/PxM01ZYY4gpUNc1w+lE27Ycj0cOxz11UzONAkq+evWaqqo5HA54H2jaBo2lMhpb1ZJrHY9M3uOjo2R8Me+hFLvnA8PY03UtTddydXXF6XRktzvQrlpMtsEFJZmbfaCfRsndSmAqS2M6pjChjbxeWiWcc0zOE32CpBmHwDh6rGm4vpZsx8fHR1arFW/evKWqKvrhREqR/bPHWku3WhFT4unxkcm52aJVa8swjP9yH4illlpqqX9FZbRlGoeZWNq2K/rjHpTCGC09u9YiAvIvG6zL3nHumbnondF/dPtLALD0ufN3lUnAGSNIhah8AbwVUDGEwBhlLbDZIlUbI/Nh58TJ0L500dFyEBS155fHdknM/RK0LM5NBVwrt7187kV8U+7rsue+BB1TSvnf8cU5KTOQAkCC4ClNticHGIZhVjeGEGb71ctoktIrm0wYLkBkXckeozy3kLMfY4g0df1CfWnyuTwNYiVf0VBVVqx63YR34UVszeUM4Eu3qkJevhSKlZ+X21w6ZX1Jvl7qZS0g5E9UVcmAyihDUhGtROGnlQwbYw6PFUvNSPRB7MJABoshkhRoa0WOXSVc9qtGJ2K+sLgobPsCmqkL5oXYoUbwGfJT2apL5QDdqFFZCXmuJDmIqQwoEykEgnPgg2RMoolFKWAM0SSikUBancSOZLY1yVlGRmuMEXvYylZiQaIyCKmydZoPJAJKa8m6NAad5KKZlEYZYYe4DBx6HyAmrJJsjc1qxavc7GmjOZ1OGB9Iw8QwHolTkHM4TCTnUT6SvMdkwJWU8x+RAa+bJqL3GGTISZRz6qPDVpaqsoTg6YcBn32/VVaXxBjxwcntnWe1XrG2axKRYRpJCiorcnpdC4vjNI2EcARjscbStg1dIxe9pBRTdChtJBDZKIxRmFSJKtQo0Fp+Z/VsJZtSwgXPOI6Mk/vv9O5faqmllvrXXZN3KKPnjMOUN47FVjsGAaIUCqsqNOcN/WX+IZwZfbLxDmcrULFNEFAPUfXpC2VdAecu7VS+vE84b25LMxG0RzImIZnSKCVpsObmw2Kyi0H0nuT8CzAwRdlXoMRBQWVWqPxUz7agznvCJXh2wRQtxKsvqzy/P8X2nJukYkFuDMZoASKNEYuZi3OkUFhjIROlLm1rCtPwZRZlzne8aPpKlcHwZYMl6lUI0c+v/WyJk5ukSwBSjn827JG9WEqQrWSCPzdXBQhN6bIBPTe1TdO8OG6tNXrJhFxqqaWW+tlKKcXxsAcUdV2z3myzJesTnz7f473n66+/ZrNds9s9czgc+PjxI7vdM19/8xWb9ZWQjVMm0GiNMWKn/fd///f84he/YLVa8fT0hDFCoF2tVhhjOJ1Os/3XdrNhHEeen5/o+xrQOBeoa0PTtHgf+PDxR5qmY9WtWK9aDoc9q9WK7XbLfr+fQcirq2vKYvz27TtiTDw+PWeyUaTvBRSLMXJ7e8t2u+Hp6YnPnz/lwaMGZYkxMU4jr169oz3uscby/v2P/N3f/Wd2ux3ff/8X3NyseX7ecxwki7GqKtwUZC6gFUEpKmPwbqKyK1KM1JUlNhW20kzTyP39PVfbKxKwXq+ZJiH+XF1dEWPitD8KhzlnVtd1I3uIaWS339E2LbYyeYOiqCpDSpqqtgIuP++w1tB1Kw6nA0M/oK2Qmuq6pmkaYvJCCIoKsuNQCor1dkPfnzgcj0Ciqix10+G1ZG93K0XTJmIMGFth60ocnI5Hfvf73+T7b7nabum6TkDaqubN69fsDweedzv2+z31OHJ1fYO1i03bUksttdTPUW3XMo0DMQRCngWL2lDsMytj0SarIQkzSXcGJ/MsewbuShwJ0v9f9n6XgB78sYNPnO+/9LbmTNrN2kxlFEonUgpE9JmAWlXElAFCrWfVnbHFvQH8RT9aAEFrLW3bzsd1aZt6qcYzxmCtfQGUFXJsIcIqdQbiLp/fl2Bl+XmxbC3gZZmNKKVommb+vt1uqaqKaZpmB8RpmuZjqqpqJoaV2YExhtVqBYh4yGbcZBxHnHMzHqG1xjuX3SLWtG2LteJYUfr5cRxfnBuXQVhxRTLzeSi3Ly4Pl+5XdV0T4/mcXZKKL+cEl++Xpf50LSDkT1SxVVNKyYXN+/nCpcsFpqgHEjKkiwIIRh+IzqOMEeWETNeIKgDhJTqeQa/LQZ3Kk8BiURJdxBqLrXLwegYhQ1CQNDEVi698sYjFUk2TYiD5QNSBmJyAkEpCYNEabEApK0zNKKAgWjbbykNwjuAmGVKmhFGgtJGMVxI2H2uMicpaQgzoBJUWybn3Hq9k2GuVRWmLyoClSongPWNKJBMIVY1RitbIBck2iee64xHNafJU2kAIxNGhfMwWq1ZUlWSmSFaJBJeHtCjMl/Lp5FHKigojJZyb8N7h3JiHo8zDW6UUTdswTiPTzskgVCVsZYkqEvPQVqsk/t1JlCNaK7AGVRmiguAdxgqwGFUipICLjtGPKKsg5czODFwLSGqyisKDycDkUksttdRSf3YdjkdSU+My4Bjzph2KIvAM/qUUUfoMXl0ChwUsLOoFH53kSGeCUHY+l9vzEmAD/skGp/zbOffH7DyAnE9YGiVQxHTOqrT2bKsyIWSklMlJlOPK9yPOADmTOIN+2mRyUX68mFWW8thyHzFFiOIMcVlfsgjLOb38fQF1tZUMbW3EpSHEQIxndqLSsq5ro18wDcv9fNkMgMqWe3+c3XEJHF+eV2LAh0ls27L1rFI6KyLPjyeviyHk8xJLw3HBdC0kKJUSKjcvNpPaCjvzkjX6pQXs0rgstdRSS/08VYZe3ntWmw0qD+acD2y3G6qq5sPHj/zyl//I//Pf/Vv2+z3/7b/9N968ec3f/M3fEoLndBoIYWC7vZoZ/FdX14yj43Tq+dWvfkWdYz6E1e9yruSZZDRNE69eveL5+YnJjXkI53j79iv6vscYy2az5Xg8khJ8vv8E6RZjNIfDHqXEWuzp6YkQAuv1mq5b0bYdSikOhwNN05BSZBh6GdIZzTAMgIB9dV3NGZVd17G9e8WP73/E2pbKepomUNcDt7d3/OqXv+S3v/kV/enAf/hf/j3ffPOa3/7+IyFG2laAP2Pk8cbxRN1UjMNAlYeNMQXatubHH3/Ia7FBacXQ92hluL5ez8ettWa9XjENTuYnQahQ1lYA3N7cyfNIivV6g3OO3f6Z1apivVlTVTUuBoxRHI9H2rbjeDrihoGmkfsIIdGtNvTDhJ9EWamUwliLQdbprlsRU5jJx5VtiDpR1U22iB2pE1zfXtP3J/b7HU9PD+z3ez4/fOJ0vGWz2XJ394qmaRjGidWqo2kaHp+eGKeJTx8/SLbVUksttdRSf3YdDgeMNmzWa5ybGIcBpYy4EWqDtZXkKCqFSuce3yp9ng1fKNz0JYCUzu6spf7UDGAm2Cozg5DoHPmhZU6fkkIrI3mQKs7gn9i1Iq5Dud801sw9o5Bp8kwguyiWv7XW0jQNXdfN/eU4jjPx6dIStQCFUByVzu485fnGKFaol6Tn0juXGYfcTv7O2rN16+X8om3b2Rmo/LzYsl4SrauqYr1e0zQNp9NptmIt6slxHGeA7+7ujqaucdPE/f09wzDgjZ8fyzuxXu+6jpQSfd/T9/38mMUiNibBVJqmAWNIScjNfd/P741LYngBawXYNS9+X77GcXxh31oI7Uv96VpAyJ+o6KKAcUnedG1bsWpaUoL+NECQRsa7iPeycS5vzOg8RolqsM3Dp+A80QfGYchg1ZnlLx/efBHIF7wYzplGMXh8iiidMCYPx1LEWCX3G8OcbVQAyRiEmS/DwxEVLlR4WmNMRYqKFBXagB8Dqq5J1uJD9tPWmuQDUz8wDiPOF6/lnCSVFQFFvp68lwt5jIQ4kUiEGImjyMq1tZCVnEohKkVtMgB4xA89/nTCvT5ws70CQLmJRitqBSoEwuRIQVSdMQ8y5THFmjUFscer65owOch2sVVV0VS1KC6CyY1LRbHF88GRVEVCrNh89FTGUtXyN1GJXWrdNFRtjakNtjIYoyQbKgS8m3De4XzA5ouyJ6ISqEqDtdRdw+Qn+n4kqkTdtaAT2hpMJZmSOjNfqqbGaM1mvSbeXvO0O/zLfBiWWmqppf6V1ePzI66V8HWjjZBBYsQYCWUvdqspgRsDxliUlg2rj4HJOxlgaVHypZQwydKqDpcCIQjIRdKihiy2nirl/OeUlQTn7IXLvATgxaZe5+ZDbFQSsj8+qzOVUnRdM4NxpXGYpgHnAyF5VH5uKEXwgZJP6aLYjMvja4wysg8gZxueD0hyF1LE+7Mlqk5n+5NL8LE0SpcAnDgr1GijsdagjCEh+6hxmlBaCE4FoDOVJXhPmMKLpq9YvpQqqtFCFDNGmp7ymJcqV+fcCzZr9GIrQ9Jzcza56eI1MOccSWsIaEY3YbQVEpb383G1bUvXdtmeXjIv267DWDszOS8zR8u/S/OyNC5LLbXUUj9PXW23rNcrfvf7P8y2X6Zu8jXXUVUNbSMs/P/4H/8jDw8PvHr1irdvv6KuWqp1xaoL7HbPgGIcB9q25dQfaZs1v/jFK37/+9/Tti0PDw/8p//0v3N9fc3d3R2Q5nW4aSqOxwNKQ13XrFYrhn4EFHXVyu/UwO3tbQZOHcN4ElVeXfP+/Q+cTj2r1Zq3b7/i+XnH6dSzXm1kLVGGm5trjsejkFm1Yrd7pmkbPnx4TwgOpTR3dzc5w/ITPq9bu/0BazRXV/K7/nTizZs39P2Bx4dP/Nf/79/xF3/11xhjcWHi8/2eytYoBc5PVJVYunurORz3XF1d0TQ1w9BnoLfi8+fPWGvYbDY8Pz/z/Pw0g4yn08jD8Jl1u5H9iWbOn9Jao6zh+u4OpTT7/V6Uhk1L358AxWrVUXdtHrbW7A47tLUMY58Hm5G2TTztfkRnS/Y5eiUlrK1w7mwN1zYdCsX++UAMnslNhODz+t7N+Zd3d3d0XcN2u+F4PPHxxw+cjkceH+65vbujaVrqpkUrze3NDdpoDscTP/74/l/s87DUUkst9a+pdrsD19stTdtitGboxbo8aRHcSE9YLDzlb5RSs8oxJYn3Kj3hpVpQZ9EPMPeQhcxa/tZaWaONNSUERGbfwc2/T5wzI5NLKJ1QKuFTxGgj82vvZYavFJWuRHiSybQzEZiXIJm1dnYIKkrCAi4W8O6y/70kCF8ee3F4Kq49XDzncrtyP+V+L52aitKwnNsC+pXjLD13mQl0XQfIXuj6+nq2a+37XuzMu45pmnja7ea++ubmhvVqxePDQz4HZ7cina3yT0NPJNE0kgu9UusZCC39tfeeBJiksSo7VMI8LwBeWN2W90Ihi10+xzKvKZaxlyrRhVD8T9cCQv5EiR5AMouapqFrW9btmhgTKhn8FASFdw6TZGhGUTIYk63GhAEhYJzYtWqj8S68GNSlDEoabUTFmM4exMZakpMPQxm6KaPF/ouzVLpkSsaU5hDeBKQUxRMuJmIUiXfSmhRTvsBp0pTQtSX5QBhHlDYYFDok3DDgpwlRTspzMynbliYkzzF/zoyWLAhR7wUB83w4e1hbeT5iUasF6LSKGBJhdAyjg8Ghhol9+0Bp+JLz1KZiGE9MfY8fRqqosFpnQDeK/W3MXi45e7Oum6yW1FTWYrLF6XbdzcNAa02+AIuStAw/vZ9m1kQIge3VFZvrLaapCEQCnqZtZCEhEYKHEaJTqCozKFIi+AApopKmbSxRJVwKJKOo6xZbVxiTFxiVFSdIKPF0nOgaGWhWtqFuFjvWpZZaaqmfowKRKYg1t9ICyqUYsYg9KZnxRlJ4I2BSSrLOhFRyg8OsdjNK8g0xihgmokroEGRTnyT3N04hO6CWzal8v1THwUsl4Zf5AkqrvBEWnWXKUsuU18JiqFpsTVFic6opbgECNCaQfUFKqCC3jUrW9HjRrBRmZiSh8z4g5WMMMaJjpDZ23pRfqh9Lo3IJskJhUcqXipFEJIRsYRrPVq1ay3HGEGZQ9BKILBv+F+fnwi72S8UpSNNSrFYKsEi27lHKIHbsCaVeWrEImKmRFV9yslNKuFHA5spa2qaR/VcS690Y5bz2fY+6aFgum8Py79LcDuOyzi+11FJL/RwVgufu7g5txH7VGMPTwz3bq2vqDEZN48jj0xNN2/D9998LMPe8Z2p9BhBblDL0p4HVuiPGkEG2E1orXr26wznHq1d3GKPp+54ffvgDm82Gd+/esd1u0Vpx2O+kN0/FQlzUd+LI4xiGnhAeaZqaV69uOeyfGUcBKn1wTNNE00jGYlM3BB/Y7fZCmtKaEBxd14gS0k9M08j+8MTbt+/4fP+JYejZrLdsthvWmw4fAqfdHkjU6xVaW169eo2fBiqr+fzZE/3Ifv/M3/2n/423X3/H9uqG7WbF6XjisJ9omo5kLNZW1JXBOc/xcCCFlslPaK3YbNbs9zv2+x3jOHJ1dS15y9mdQWtN1VTsD0+0TZd7cnGgmCbH1dXV7AohVqYN4yiqhZKP2aoOozUhROqqpjaapm2o64ZhGBjHkePhkHPCDFWVVSba4Et+VYLjQV5TayqUNtSNwVjL5AZi8LL2G0sIjiHHpGhTcX19jUUxjY7dfsfnz59ndaWtGrQ2hBipm4bb25t/wU/EUksttdS/okrn+DJjbO6tsmNhbghVnosL+RNAo7TJ64zciQCF2ba1NJLxj8GkSweeyx6UjAUUJ8WQzu5GMdt/k0QsJLPzhJgbyu3EBUiEMdoY0AJmKq3P6swv+t0CNpbjcc69AEovj/1PuROV3rb8O0b1ojeFsyDqss4OQ3oG9877kDMI+uX5KiTby3nHlzEp5bG01rNlK5yJzuW4IeG9EHqVZn6MyU1oY+i6FltZcTjKc4WYIgT57kPAVi8VnOVY/6nn/6fciv4p+9Uvz9lS51pAyJ8oa6t5Q0tMooqramKIVFYGV9YYgpL8oTT/f76UpURlBYws9mnaGCqliMmdfZrjGTFXSYkSL8SZjWC0hsqKXVz+AOtkkLmmXKzgbB+bgBzCKBddEswqyzTHOamSX6kQ5aY2KB3FstUK64EoTYKLEZQWVaDSoghRxTr2/P9hKuHxImcnKWwGAWNKxCkQQmacWENtLJUSdeaoHX5yjO7E50MvatAsIa/rCqs1KkT85AiTP7MyYpQLf4xELxastqqojWXVtkQf8dPEOImlrDEGW5e3vzQ51hphTeTsCuem/x97/9nkyJKlaYKPEmMA3D3oTVY1XVPTsv//j6zIyK5If6nd6a5OcmlEOAFgRNl+OKpqBr8351ZnxkzJVttJ8Qy/7iAGg8NUz3kZqE1AbpLj7YYe27cscSH6xPP1hZRB15hkeJqAruvlfiGQDGgM1hjGZcLHwBwWlDV0bcNwONB1jeQ+uoXFORbnMmgd6sVck3g+70rIvfbaa6+vUYfjAZ0iEWkKYmb4FTcCldcutFh2+WL5qQGrIUq+gDhvC2ipFCgd0cqiUyCQpIlJSsA9nZujVDbxG8eDTXbDtsHYNg7F8SCpnB9d8phzDlQqnjKFFJWzkJMGlTIIqFUGQjVap7xuxZwRWchLt2zJ+qil8QBxQoiRECPkPcF2I75lCr4GWWOMJBIqBlQU4DTEFfg0WlXrFhdDtrLZAo3ymFsr1lUxatAbEHLbUBSwr4CQ5PdZsb4f8hSyf5JczVXFKeeAbFex2ub0fUff9XRNQ/JRzk9MkAKRbP36C4By+bcoI1NKTG5XQu611157fY26nMVetW1bEmBtx8vzM1++PKK09LXL4hgOB/7z/+M/0zQtT0/PBA9aGz5/fuR4DBwOAykFLucrITqOxwNKGZxb6LoTIXiGoafvf8Pj4yPjOHI+vzBNI+/evePd+7ekFGvUh1YNwQvh5P7+Xnrn58Q0XfF+JsYeazXz7Pn06UfmWQC/YRAQcryOfPz4DX1/4Hw+V5cFVKTtGprWcjWKab7yX//r/8Hbt284HI6M04Wn5y9Cgm06nHfEEHj78IbDYeCnH7/ncDiiCCzThWlSWKMJMfD4+Cn33qJ87LqeaTxzOBzxLqKUxs0zfnH0bZOtZQNd12OtwTnF3d0pr7Wy0YpBspSXZaHvGsbpwvPLF6xtOBwOnIYDyzKjtWGeF1Eq9j0phUwAyjlSV1m/fXDiVuAFMOzanqZpCUHO9eV65fzyTMhD067raLuOtmkw2qJVEJeIsDDPTlybojgktW1DP3R8+fI553AdiAkBj73n4eEB7xxKwzyLs8M4XrHOk1BoYzm/vHCd5n+/D8Ree+2113+gKkq+mKAx2W7VmA0IV75W0YwIdVLNJUmIYCemQEqZNKtUjlYp97kF9Epte12tdHUYKmQjiRUp4qBM1FXx5v7GGCIJci+oghd71nywVql1fl+AzTwzCCEwzxInNk3TjeJx60607YeLE89fA1i3VZ5rq3QsP/c+VHXhFsgr/SxI/1ue8+fxKavdaXkcIJOv4DWYunURsrahyfsErSROJkwx4y2a4XCoZGlCQDI5JT4PZO4TAnUOU87V6/OxBVG1Xucb23NV3S3Vaje7nXnsdVs7CPkrpfMmmxAJLrDMnsbMBC9MA4XGmhZvIj4s+BQJQYC9pEBZg4uByUnIatIK3Qiwpxa/qgaypFjrRHQro4G0fsh1Y/AqkXxAdHJkGXKQrAUtMmPJbkrEoEn5A4XSWK1QBrFfFcSOkBSGhE4JlSIqBnSQDEtSIEWF0tJUNCXEV0m+pYKVjcHtwLQec76AJ0BnNUWIERSYEDN7IkuilcYmyZVM3uOTZFHOztH1HSkOaBQ+eGnU5CAJQXIbNBq/iGrRao3KA0PvvIQTG2Egpnx+fPD0h67Kzxe/YFtDdIrrNDKOV8nEVIqmazjksODz+UyXOpIVFsXsHc4tBC+NSttYmq7B9g0xRGJm1UgmlOU6jix+IZJojCGqyBIXcAnnPV48eDGNhQBdP8hFPkWSdzfWc3vttddee/3t9fD2nuQdyzQTUkDpJIOqGCAZBL3L6jjTEJOsn1pLfq+KkRSCZPzGSFJiUxqSMO7QCuHklIwJaAaxeU0hEv2qhisb7i2Qt1UVFpagVMLHWZoYpQR8zO1KsW2R/XpudLL9K1rAy1gISFqASEUizwOziDJhlV3zF0lVRRkQsC+mhCmb9VfKxC0Iuc2QKFVA0xizKjRJDjNkmxl+/njbpus1KLvNuLDWYq3OZKifg5DFuqX8LoTAnOY1nzKf83LsbdvWn5fHEEcLxewWYgjcn+54uL+nsQ3jyxnnfc4eWRWPIQSx53nVfG2Po9jP7hYue+21115fp47HAzFfWy/nM99/9x1v373nu+++q+RgrRUfP36AJAOzrutpjj1aG7p24IcffmCeZz58eMeyzAzDwKdPnzgd32CMYZomhmFgnme6ruObb75BKcU4jnz69IkvX77w/PLENx8+CJDVDxyGE3BlWXyeARj6vkepxLJMLMuMNRqt4enpEe8jw3BgmmYZumnDDz/8gFKG0+kO7x3Pl0+kFPn973/P+/fveXx8pO87np+f+eGHH/jy5QsfP37k7u6OJVufH+8OjNeR7374nuPhQNdYFJG+P/Dh4zf89GPkenlmOPQ8PT+hs21rionr9Yy1Lc41iDW8xYcF5zyoRDu0hLDawBVF4rt3R85nzziOdXjZtBalIrbTKNOQEozzyLRMnI53mEajgxC1lYGu7xgvT3n9l3Nd1tf+ILEnIYa6Bwkx8PbtG/quodGSRbm4BbcsDItjNoambWiMBTTL7LLLkYCcskdLGKs5HA51j2VNy9AbFAkdHKfhwND3nK9Xvv/+B84vL5zuHogx0rYJ21j0vPz7fSD22muvvf4D1fF4QiP9HdGglUWZbNGZVgtRMf8Th8MSI1J7stxXlj6zAm1Kg7pVu217tOKoU75C8qLyj4ng1zzE4kCklCaqSCIACdM0NK3EwmhvpBG/melT+3pjDG0m325zGIGaQb1VQW6tZcuxFlvS11mQIE5KW/Bw/fkKZm4BV3EnmKvVajmmapG6ef5pmrher/Ucl35XgExfsx+3tqlbQC+EwNPTE0Zrzi8vxBjp+46u7TgcDiKyUopxntE5dkYyslN1NdzmUspziVNGARbL77cgbDmWFVhdwcWtQnJ73srMIP4sTXSvUjsI+Svlvac1WjJ/kMbkepEN8zzNKMSm1RjDZVx9oskfTGOtBJUmsWErgbAlLBZumRRb2zWgZi/dMvzXIaMM4iIouw4rU1ZCKgEmizozpghR4eOG0aE3z00EH8BEYXH4wOKcKB6NQRublR2gUiS6lCXnG8VEHhwWdWYqw8IQobAyEHBWJTkyq4wIQZWAvWJrq3HeQRacBOeZ1USKco6N0ZimgSjvyTzNGGVIIaAzCwXkwjGNE30nF6mu63LQbctwGDCNvBcSTk8Gf1c1QrnoNk0OtY+B6zSyJAdWEVResIxCGYvVhqaxYu/WNHjlIQQZsBqNaSwHPcAMaEXbdygr9rAueEKSRaPrO7Q1xBQRR9c8rCZhu/br/6Hvtddee/1PWKKKsNBKnnAsyvcYCSBNiQqgDdFqfG5MtFGAJmnAaCLgU0RHRIlgFClswDNj0EpjUbS2QyXwi2MJayMQckYBrCzHrRXoNqMiJcmaiJncUxoV8t6AbMVe9wpKbvNLVicpUQFM8n0V67EnJLe67Cl0ShS5YGEOqry/sZvMw61iccsYrIzCUNiIAnBaJa4RSqmKhhZGZMrHVJSIZa8VY6zg7GtbGVEy3rITt/ctPw/5fS/ZIOX1lNdSmpjyfMWWNnDbtLRtV5vgeZ4l61NpvHMZKN6e81sG7fY8aa3B7BYue+21115fo9qmZbjvWZzny5fPgAzs3r17x4cPHxhOd/z5z3/mu+8kp6/pOrrukNfdlsb23N3d89133zKOE1on7u/v0Vrz9Hiug7Yy+BOw8kPNZrq/v6dtW+Zl4nJ5wfteXIJMn2NLIk9PT8zzBCrRdT1936INvDw9Mk0Tbdtyf3+gsQ3Pz4+cTgnvAjHCOJ55fHzi/v4eay3X65mffvoxW7sGmsbyzTcfORwGvvvuO/71X/8bd3d3/Oa3v6UfeuZl4f7+jmVa+PLlCylGGpUwOtG3LW/uHyB6QvC8ffPA5y+fscbw5s07luWCdwtfpk+kKCCktR0keHl55uPhG9phIPhA3/fE+JmffvoxDyHX9Vus2xx3b+8JITBNM+M4SZwJiueX5+x8kDDaip1dXjvLeu7TOgR8enoSG3q7qkB8WCB4rDa8e/OGQ99zPl+4XidIMF6ujJdE3x/k/fSeqLNbUmNAtUzjyMvLhev1WvcJkiHtccvMcnmhMbIXOQwD33zzDXd3E18en3j//oMMaGOibbt/l8/CXnvttdd/tDLaoJVinmYWpK9XSUDG2udFmanqbAGolTgdVUXhq55V/oM6U/7Z78pzZ8Cp9r9RZuOvAcuU1yylFUabzBSWWI9t7xqzanKa59o7xhRFLJTUjV3qNr+wAGevnYde5zS+Bh/LfX8JYN2+7te3Kc+zJRoXC9YyR2/blmEYUEoxTRPLIjFn5bjLjD2llajUtu0NCLwFDR8fHyHPS6y1tE1D27Ry/xydVhwPY4xM03Tz3shaLccmytGAycrZbV++7dPLfKG85i1GUGoLWr6e3+z1y7WDkL9SKiUMBmXEVnSeFua0iPVmzog4DIMo16xGoRinkeADIVuSKsRqRDeWvu8rk0CbjQR6Y8ca8CiFDPuUFos4IPlUh36wBSzldlqZrMIQhYNpbLVrjSkQQ1YbKFMtY21K8rMMZkYfSDaAthLEvsxo06KsQVtHk9qaRaUwxbNNgNAooKJffFVhaJ0vqCGgi2ScVC1e9eKI1opiICKKkhBR+WKijcYUJersCMGLYrJpMVbhFsc0L7KwKLDG0jQWayT7USXqhWhZFoZh4P7ujvfv33H/9oGn50c+ffpUGTExRrFxMZq+78WSlXJxSXR9h2kbvIr44IkqMi8TthUrVwE5zaahCrLoaE3bdQxDz7RMGL9grGXoe0xj0Vb+Frx4/9AOPTpb38ToISWiDkSlsGZnT+611157fY26XkcOrajdUozM41R/FwuRRmmSiiQMLqS8LlkS0iwkJd4EIYm6X9a9Ehpv0Eqyno022Gxpjs+W61k5WaxaUmY+qrRmMbYbgK0o90P0pJD3B1EcGKA0PVuQawX0lNo0EPCzDXVe0PN9FCmF1b0A5PiqJ+tq7aJQ2NyIlFD31xv013YmMSZCECVkAqzWpKQr+CnLfsT7RTb01kjWJmsztLVkMVnJImzGKMepfk7y2oKhhWUpj6nR2XJNKYXNjNayrnvvxSK9ZG2kRLBCNDP5MeZlhpjwIbB4R2MMSlt8CGij5TXeNKQbi9tN86vznmWvvfbaa6+/v/7lX/6F+/s7Sr7z6XRiOBxp25YQI03T8A//8A88Pj1xnUbSONK2M7//3Ymmsfz04yd+//vf87/+8z/x3fffcX555Pvvv+d4PNL3HS7nCX7+/Jl3794xjiNfvnzJsSUGYyR30BjLdRrxITLPC+eLzAu6rmeeZY7Qt7ZwfLBW09iW8/lK3x/4w+//gXl2hCCuQc55pmkmhJQHdJ9pOsXxMHBJF16eX9Ba1pXj8cg333zDb3/zge+++44//vFP/L/+9/8n//TP/8zd6R6fRBXw/u0DKUYeP3+CGJmj5+7ujq5v+O7770gx0diG7779lsv5yjfvv8HaBuciTy8vPD9/EhB1GJjnhcVNnO7v0Ephm5Zh6FkWRwgu7ycU1hqMadBKshsViRg8oaopLForpnEmJTDGsiwT1hj6Qy/qymUBnecQPoCW+UhwgcVl6/oE52nCNpbG2pwZNWCNEMSfYuR6vTKla85xtAQViF4clYahF6Jxa7lcLry8vDDPM23bCglJKR4e3jJdz1yvE0qZTIDuUdrw/PyEUprD8UgMu+X6XnvttdfXqBg9SmnmaSLFyPEwiItRBhdXy0xFUtmS1Vq0lUxIUgbnYp6za+Qrk1mra2v2Q1VqBZ5Sub1KsgZlYm9ExCMp01a9l17QKHE3KL463gfAbXrkkHECmaGvfbu462zjR7ZVCMClz31NBC59svfU3lnOXbEZ1RW8LFayMjtQte/elsw7dLZGT1VxWGxVC0nncDhUoLLkXqcsumnblqYR16llEWt1satXOSInchg6mbNEcYhIKdGYhmGQ7GiAeZyYpokQAt0wgILFOeYvX7KjUcObhzdZdSkOhvM8EaPH9B0pZgv2zWusdrUIRmBz1qj3t3P48r6VGc1Nj/9KUbrXWjsI+StllajbFIbgE8F5fM5viClgjCPRopWmMQ2t7QgmsvhZrDhTxCixATWY/FiKRhus0fjkSSkQkt+wGlS2Z42k6OpwUNgTFqKvH26jJBsKrwhBLp6N7rCtxetEINuAJWFgJB9pG4NSAu4ZNDpC1k4QlTArU1pkMAqE5MVyLho0hoDH+YXeHiRkiqy0RIaCfl7yB1BJBpWS3IfRLcIoyUPGFCSRUmkZdEp2Uqr5kjZB8vLcMURcPg/GWI6nO6yxPE0LfllIIdD1PcfhwPFwAEQhGbyn7Yd1cJvzH96/f88wDHz5/Inr+Yw2iuZwWH2yU0RZjYqaxTkaBV3XcHc60A8DnsDz5cKX5y/EKArGYAz0kJTIr8frC25xNNZyf39P13VycYvQmhZjLY1uaE1L27V4FbDJZkDbklQiRPBLIEtV0Lqh0bsScq+99trra5SbriRzQFubFX+JthXle8pkmcUv+JAIs0cbAdmCEjpltSFPEUX+mYLoIykAUaGSgVg2sTLsSkbUiS44XJQ8Zq1NblAU1ljJSooRtCYWJV2M2e416wdVg9IWlRUAMSViuG08Qkj4oFBJi/VqtnlP2S7GZOArKSUWMbnxCFHaJ6VyM5LD3Mv6rtFYa+Q7pVBKbGu1tqs7QlpzHqDkWRpQkZBkaCgNX8pZVroEXsg+SMv+CRdArxYuJZehbS3D0ImawqjV4hWEvLU5jvK1eE8ETGZfRsTdoW27Cng2bYNtG7Q1OO8JMQgpKLeTPkWIBkLCdg0hRJ6envGLIwbJz9a2ISpFNJqQxPWhkNJcbjJL1mhEGtmghDTmwg5C7rXXXnt9jRqvEylCdzhwd3eXFXmJbjjw3//4RxYXxR71cKI/HPn05Qt/+sufeD6/8PDwwDAc+PP3/53DcKDrG6alkWHavJCiKOl/+P5bMTlPopL0SwCbya1LxOqW/nTg+azQBi7XC8vTJxpr4IwAal2HmzqOhwNKaX769MKfv/2Bu7s3vH37FkVL1zW8f9dxvY6Yg+V4PObsyQuHoSfMM88/PBKT5Bc2jQUi/jLiLxdZNzvLP/3+NzwcWv71v/0Lxho+vP/Ahw/f0GZbuD/89p/59OkTLy8vKGs59g/8p+HIn779E13bM7QH3LLw+PkL//AP/4hRnuGbb3jz9g0v5zPjMuHxnF8WvJu5u7ujbSzffHjHn//yF9w80jSW5+cXDocDQWtxllKJy/mSrVCBELhcLjzc3aOJzM5zeX4G4HA68vD2nvvhyLyIinOaRlQeMltrJK8quDpw7btBzlcIeQDa0PZiv/buw1tOy5Gnpycen78AoCygFYfDAWMUWhua5kTXtXz48J5pGnl5OWcg1PH06TOtbVFa8+nLSx7Eisrl0A/8+NMPXC8v3N/f/bt8Fvbaa6+9/qNVazWNMbgZEXREL4IUa0lRItRiiJikwajccyWijugc75WUFxejpFiUz72yyvNXLeKWIh5K4vhXQSeTWMLMdB1z5FcgEbGdARyjm0WcFBUmGmw0FRRMRHwMqI3wZRsJ0jQNpqgN02r3CWvWYtM0P7NRXZWOLjsOCJnHWg2Y+lygM3joaFuLMT0hrETfGGU9VUoI1iBka1lTNX1jsfn5z+HMEubqKoRSaGuxbUuTs5fdMuX12WKMYllG5mXMQXOw+JkQooi7EjS2kWi1mGiMwmQAsulb2rZlWRbO1wvjPNM0DYdhoG1apmkSMphWvH37BgwoUxwmAyl5EjkmJeWZAUh0TZLIGAUCihoNUfp3eftXYHv7fm2B4QLq7vXLtYOQv1IpZCtR0eNlhVsJtZU8wuv1IozEKeAXh9WGZBtSzj5MSWzevHNM44xSME0Tl8ulDudiiGvQrJFrTIz5g0CUHKdQlAShKiysbQSQRFeKhlE6/3dWVGbJeSQfdwa0kkKGivJSRJmZGRa6SJBRwvAoAokYSTGQVGCZZxlqbmTbCpHE1/NX/ayjWKqolJu0chnLQCQKo+RLay2/04YYRQ0RfSCFADGhOk10gXlxTJcrMQT6tuP+dMfd6VTtbru2Q/c9RosqY1kEHHXe8/T8zNPzE09PjyxuYbBDvsgofJTjCyGIqlQplBGlxzD0dH3H5BfaxnI6HpjdTNLi8b0sjtktBB9Yrles1rQ3FnobL+0EfnYkn631GvDRS45nECXt4hzeOflbSmBRkrOx11577bXX312NtnIt9h5SXsOKki9v+KPWOetHQ7YMEeBsDVnXG/ZgsXWRdc2AWZWHsozGmg+YMgAoDcaaRaiKU4JarUyLjWgNdgcKl7L8Kw1RfPVz+Sr7ga0da1mPUkrEzffb7Ash56yPJUBiybZQFBHla2u07QZ9W8WuHbWuh9svH0N9/WVDX+zey3FLY2YZhp7j8YhSZOcAJ4QrSfr6GSNxyx4tpKOSXV2YmuUcOOcqO3R7TrTWsnkuNjjOE72wXIP30qhqtbHGVWIr7wMqbV+/pHGW3I+YIqEQoTKQutdee+21199Xv/ntb3n75g2XacI5jzUNL5crP/30mfu7B6Zp4XqdcN5hWkvbdXzz8SMpJR6/fGaeRo7HI1pl+zArbjtd2xK9Y06JEGQ+cLlcmKaJh/u3pLRaoznnmUYB4+blSttYUjQ4N+O9EyvvueWcFI/aQlKcX668efOB/njEaCMDx2wt9vbtmzokNLYQgmA6X7F1QDnl3OXIPE+M44XFTWgFTdsAiYe7O17OL/zlT3/ipx9+4M2bN7x//x43iytE21rGcQTkPh8/fODbv3xLDJG+64gh8fj5M7/9w+/wITKcDnzz22+4ThOPT0+cvzyTUuL5+ZmXlxfatmUarygSw/COu7ujRN1cJ+a5IcwL1ja0eajpk9inXq9XGUway+HQ411gWWbG64XT/ZG+b+n7Fu9n6alTYJplQHs49ACcz2empOrsZWvVVvYfKSVRyg6DxK+4BR/X7EqgWu72fc8wHGhbIRl757k+X/Au4JwnRHFwct6jM+H4f/lP/4lPP/3I9z/88H/3x2Cvvfba6z9kacAoxaHvCRm4g9wTI9d4ZcV+FSJmEx0WtZBtIyEPx3PPrteokfJYcp88I7e6PrmQX/OcnuyCpxTa5jiVlPDB54dXm9ZcZRLvOkt/bZ9a3ItWK6JVvfjattR7X50ZCgi29q6qqiVLvEuZJ2wtRtu2uyEQl3zH8lw39rZK0XYDMayPYa2lyc8dY+Tl5QVrrfTUKWGNKBO7rkNbcf3zweHmRQBc70So0zQyc1kcIYbsWCRujs47TGwl63FxJKVo2pau7+gPhzzTkHMVYmScJj59/oTVGkjE5DndHWnbhsUtkvnsRWiWYnZ4soY2x8yIK4P8rES0rCBt/Jkda5nZLH7v5f9a7SDkr5T3Du9tVinIB6rrOkIIOB+Y55lxvIiUOmhSpDL1Qx7clWGccy6HmiOb080fbxlIlWZllXjnP+qIsCV0/jfJsRTGYgypshVAVI8ZlazDQ6PWHElSIiUt/x0iUQNJMrCU98Lu0LoOTNFKfpZEbZ5sIiYwytZZZx1qpqyMTIkUAj4EQvDkhK1sNZdtYxNir6o0yhissdLkodB5IQgJVFJ5eCc5Wtd0Fs9tH2hNw9B2tNkGrmRw9H0vgOQkVimn04mUJBj3z3/5MynJgnE6HbE5u9PFPOSNXgbEWQ6vrcHHwDhNBBIhiaS+6zps38gFNGVL2yiLWtNYGmNrs1JyQMvfQ7lIKaVofEOyoq5QWqGMqD9cVt165wg+YFEsbr+g7bXXXnt9jSph8CZnNpq8ZtTNfWGxxYRPOftxk/285Gt0Zw1ba1ONkpwBJRmKFYRUVFV+CWAvWYoprYDdNh+w7BWKzUmx8dTmFhyDdR1+bQGifqHR2f5uCyBufw5rQyRAZhnYmWq3nmLKCsTV4nRLunmdm/A6Z+E1wzTkHOViJw+Z9bnJZFBK5SamzZZ6AR9Ks5QJWEbf2Ma+tqfZZm0aY8Q+9RXoKxnU5mf3FyKRgIXOhWr3E0PAtq2cs5D3dtmlInhfs0W0FmalNkayRJVCk9Bpz4/Ya6+99vqa9e7dew7DQH88QVKM48jHj9/w408/ETX0/YC1lsU7vF+4nM+cTif+8Ic/8PLywjiO/OmPf+Q3v/kNHz9+5Hg4cL1eGceR49BjbcPhIKqEcRzF0nNc6Lqe0+lE27YolYTtnzRdZzm9e8fT0xc+f76ikygh/eJJCb796Tum68T799/QtEK2kYgQxzxPTFllUNeuDNgF77l/+watFN47lERK0XaWebqSSBirmaeRl/Mzy7xgTcu7tx8Yx5FPnz5zPv+Fp6dn3rx5Q9NK3lLZ24zjheE08Ps//I7Hz1+4nC8oFN999y1JJT588w3ezYQUOB4PoBSHpmeeZ67XK8/Pz9JrO8c0TRwOB969e0eMkefnZ6ZxBH2bId22LYfDEe89nz59JsaZh4cHuq7HBc/z+YWXy3O1gu+6jnmZxGmobetzNU3D8XiEZJimCWstwzDgvQCMIYRKRDoejwzDQFQyaJ7mOZOZXbVok9yqxLLMVdXRtB3HO7FtW9zC0+Mj8wKmbfjppx+4v78jLjP3b97SDj3wv/97fzT22muvvf7/vkKIJCMAmN4AZTqTPbc9virDbIT4qUloXebj8nhKFSWb/XmuX26jzQYs3AJRSW0IrpsvZSRCJbGq5ArI+Jrouu2/t7/fzghgzaMsVqCltv1q6cvL42xfT5kpFKB1HEesbem6jr7vCSFwvV65Xq845+r9tj2+Ep1MBgpl/ewH2VONk9ikbvMkTZ4hpEwADzHg8+8LqftwOHA8Hkkp8fL4nM+hgSRzl2mZsa24IB1PJ/r+IORdpfAhiINRCLl/jwTvmcarYAcxYqwcp7gUBqIxeK1wSQRmMUSMGaRP1wqfpJ9XgNWmqjZl3xXw3hHyXqzgOCkl5nmPUPtrtYOQv1JL8PgYkIgnjUZhtcJPnphiZrotolJTOltoil1pCP5GhlsGdOXDPwwHgvc1SFVBvXAq8vUR6gVRLqBF7eBpGkPXNVjbiAJvnrOVqigQlVXoImLMAKSqxqvk4ZyQPlSMFaBUWoMKaKPEGU1lRaaW28eUUD4HxepQgcGYlZ/bYWgZ4nnvRcpclAxRLvQq5eAmbVDW4o0Ai3I2hG0SYiD5kG8L+MDiA23T8PbhAZPVqYnIdbzUpqVprSwKKqIbjW3tOsh1Hm0Ux+NA0zRcLhculwuRSNM1Wb2JZD32PY0xNNbgo2e5LGLT1hh0hJCoGVDKaMmaaDu69oiKcg7mea4Aczkv26Bb7zxuWYhKsjyt1pUko43BOwGGQ1Zo7rXXXnvt9TVKMo6tFbIRNhF9rOt1ikiKvQJjGok+LiCbKu4IsTY8ULIHNSor4rYDtRgCsZCQUqxDRGMMi/fZdCBBisLFTKmq633wN01KWae2XyhxL4hlvcy3iWQCUz6+mEpDkImf5NfJ6nygWZWZ8tCr+vEGuMzrug/+5rVum7BS20arhM0XxeeW2ZlirJv8JuczaqvqucovlRgj4zgSY6hsRsmaUBgtW9ybZmnTpJU1uTQNenOM2+MtBKLXv9MKohfC0o0eNch7592SnSrIuZl2bS61Eutda1Eh52hHUy1+TdhzJPbaa6+9vkZ9/92P/OH3v+dwd2JZPG/fvuf55cJvf/N7vjw95pzFxPF0YDi85dOXz1wuF/70pz9hreXjx49473l8fOSnn36i73vJkU6Jxhrus8XrNC0ZHGz485//grUN0zTy5s0Dh8ORj+/fczk/kUJAY7k/HPHzxJIVeeM88vnTF84vZ/r2ADFxfjlDJvxslQ3jOMq6mNeUtm1JeZColaI9tBzTgWmeGOcL7dDjvCOSsF3HyTxATEQPx8ORYehx3vPTTz/xww/f8eX5mZQCWqt1DdaK+XGiaxse3tzTdx1PX544HHv++Md/5TJeuH/7jrZrmf2EtaL+K6Tpsh8IIfDHP/6RP//5zzjneHh4EIXkNBFiZFlGUsprv7UkrTBtwze/+y3TNPP582fmaeFwPHD3cMT7pc4arDWcjiecl/3AsixoLQDxsiykqMXKrWmqulEyHds6cH15EYvYLh+z0qbuCUOYxOLVizq0EJVKNpW1lsnNQOLN+7fM88T5fOGb3/6W63jFh8jl6ZF5mn7xb3Wvvfbaa6//sdoKO1AK78pcWvosm90LSGCMIiZRK6bcyxfXgkK23QKE27lrURQqNLYQcTf9v6gf115zOxdAicuf0msvKxmFfr1NfY5Vob9VH8JK4C1EpNd9d9mblEp5djzP8w0gqZRkNJoM+imleHl5AV7E1jT/LEbJSt72y845mZHkHlksTfP8vREQ01rLNM/M+ascc982zE4sVEPwGGtoulbiTvJ5SlqhrBFRkjWCPZjsoRiFcDXPMyHbqhst8So++kpkHtqO7o0RMjDg5knyIL3DuCxuChFl5P0YhgGjNNfrlSUs2YUwR+UpcUwq4iylFFZLNI9LSdweEyRtJI5FiUuUZp057HVbOwj5K2XzRaIwDATVnpnnJavkNKjMrkimqgEq2m9MZhnIH61bxEoFRI5MkXUXOzPEu7koC+RnKoN7GtNosTTdDNRE4pwtOpXkO0aSSM0RG9YyhISEVsLg12SQC1VydCVTN2dFFuWkHG0eTEbQIaGJmEZuF2PEhUD0AaXVxq5WiQLAC4go09sNwCrTUFEspAgEQkz5Zvn1k/KHOL88paq9amMsp0HCbhcnFmyRxPF4YBiGen7evH0jA163cL1cMdbQdo2wXlSxQE1oq/PiIKwHYsA2DW3X5vegSKsdloBJwnT0KeKCAMlGl+OUJjCmWBkmpcm5Xq81wFbYsfLYKVqUEWVO0/ckYPFWANZWhpwmQWK3Y91rr732+hrlnCP1MjwKIZA29pvFPrWoCJumJ+WGxjkZ5qlqVRJJ+NowxBjxUdZhrfQ6wPKeFDagmM0gXSHwZNLP9vlDCHUtgQ3RJ6/tZfMg1J3sfrBREaLKmrwq8bcgYfn5668tc1K+FxBytSEpdqu3DM0C+v0SM7OoCMr6V54r5PMTM/iojckMRF33YE17a5fqvVidFavWEHxu0gQELu9pUZwWwHf72raWs69VoNv38pfUlCbbqquUsnPDapmvIgTvidvcqa6rj+eCr/vCqnpVoJP+mX3tXnvttddef3vdne64XkfO40TbdszzwnA4cjydCClxuVxxi+PPf/oLf/jH33I8DLRNQ0qRaZr49NNPeOd4uL/HGM00TYzXKyEEusZCjCzznPvXSNda/vEf/oEQPOM48fnzJ+Z55M3DG45Dz/nlmcfrhbYxNNowes/npyeWaeF6Gfnmwzf87ne/J0TF5+cnxmXm6emRw0H627Zt6XtxZbpczgCV1Z8QgNLPAsglAklBIIHRpBhouo6m7xivI8lHnp4uTJPjw4cP/OH3Mjz88afvaNuBtrV5zS028p7LZeHl+ZnjcOR4OvD0+ITSmm+//QuTd7z/8JG0TLTtgAqKFEWh0vei6CxDzE+fPvH582fGceTu7g5rLW0jxOoYUh2SXi5XHh4e8D7QNA1v377l/HJhmke+//7M3Z0oF4vqMfsx0fe9DEKnte92IfL4+FgHqCDrfVGsvn//Pj+nkJpN25KiRM0oq4lNWh0vdM7vRuzWxykrKhu7IajFTIL22YZPobQm7sPJvfbaa6+vUsX2tCj9Knk2W5B2XYdCEbxHekSZgJfhdtHESL8p+Ymlj4xxBRil2ZYsx21fnZIIcbQyN6KTsO0rS09rf66ALL3q9tjrjBiqc2I5jgIIFgvWKvjZCFzW+67nqfTDWwyhEHuLwl9ec6zgaAE/m0YsVMtrqwRfrSGutq7zMkMmCV/HsToUlvMUjM6ug5GQEtYYIStZQ0yrYCulRNKKqMh5mhmAtYYmk6qLiKht+qpAjAgY2nUtMRqWacK5mWWZSTHLnFJkmkbmeWI4DDStOFK1bYP3DTF4wRWCJ2U1pNaKsCEIl7+1YnFbzmexuk0q1d/t9fPaz8yvlPwRdxhta0jrsizEGDBGLkQxOmIKIt1VJu8xb6XVZJQ8htWGsymB6T7kXMDMrA9l0EX1pi4opVLkC9/KepDB2zp8Q2UgUWkSYnka84AspoTR+cKMKgKP9cKsFEoldEwCIJIqaAqgtDxeigrdJAnzTQKOkW1TnRegVSktoFkSxogqYGuuchSdbYRhIFr4m2FgWSJKjpVW2RYWBVHOqVaiUFVWlCcPD3fVXrXrWt5/8x6tNZfLhXmZ5P1LhuAj3jv6vuN4OmJay7TMkrmpUgZv5ZyF4AhuxhhNUoiKJEV0Zml0VtMCpslZUFliHr1IwSU3QhrH7UJR5O8heBpr0UbR2pbGNAQlA+ZpmmreltaSH7bXXnvttddXqLgq/WIMeOf/KnNN5eFRJRdtgLwQA96vysaIqPpjUS4EsWR3zlXwqqoEN2Dna7vUVYW4gm9y2LLBBeTf3ECRWYQbbaTcX6/gZszrbB2SbZ6v5C4mNs4MFZCT1bgQqyqIVnX7t0rBnx1zblC2LM/SfLlN7gRa7Fratl2BzI3qtAwPS9OW0gqyrgAt9Tm3QN+WWQrUzIsQggRxw83tCgC6bRSLZY9ROgO8+ZzlHO+QvLS2QWxa26ah73u6YajW/C5bxyaf0I2Vv4G0KkF3IHKvvfba6+vU8/MLAO3Qcz5fCCFy//DA08sLh+OJ8/nMu7fvaJqG//bf/isfP37gdDpxPN7XdaZtLI+Pj1hr+d3vfkeMke+//57xeuV6udQBXtkDvHv3HqMNzy/P/PD9jzx+GQlupreWtrH4ZeHl6Sz5Rs5xOZ/xi+ebj99wf/+GeXa8e/ceT2JcJDdyHK+SH6k1Hz9+xBjNssw5B2rJPWuUXGWtMFaTksKmhmWZqhPPkK3OrG3pHgbGy8RPn37kX/7l/8swdHS95T/9L//ETz/9wDzPvH//lsNBrEvPl2d+/OEHog9oFIfhyB/+8AdQ33KdWr777lvGaeY//fM/yR4nKaZ8jCGEaj///v37up5f8vk7HA4AdR4A5PMp5/Tp6Zl5Xui6jtPdifuHe0JyfPnyiefn5ww6GnzwNI3NLgmRthX1xjRN0mtrzfPzM5fLpdq0zvPMNE3c39/XvVnbtrxcV6tWsY6X6BhrbZ0JARgNsUv44FjcQnRR1CCmrfb9xjYkEr0xhH2J32uvvfb6OpVWW1TFRhnJxkEnJXwq83SVSSHrA5SYDFEomkqw1Xrtb1Wek2/n8oX0IvobfdO3l3Ws9L3GrPas2zzB6gKUga1ttErpPbf5jEB1Qii3r/0pcCugCjdRKNsqZOBxHEkpZccCi/eep6en6jZUFJPbOUUlH6/LdRVcpSTxZz4Dq8MwVNKz9x7bNAxNCzrRtI1Yzg89MUWumTTkfcAY6PpeZh4pZVfKRFKKaZzxzlXgr8wIGmvo+06s2aeRMTjmccT7pVryphSrO0JMgc63NeuxxLV571hmEW1prcWR0DmstoQN8bqIjLbk69d5nXv9vHYQ8tdKK2zToJTB53zDYoEWUsQag20a3DLnAZurFylrTR44WpqmRWtDCOWClgG2JF7KPmcGRSQv0mgjwFtSaGVAZxZeZj/0g8L7wDxPhOAAyUcKoVjIRSRZUSzBYlLYVgCvFCIqSTivRUuYr9Z1AJfykMxEgzYGo2TgGcmApQYTFdEtkmNhDabtcMrhvAcfiGqjdug6kZsvi+RDevlw6zK6jGR1Z5QPOrcWd9oY+rYDVmDPuUVC651jGSdhPRwa+r5jnq44a1EaljAzzyNt12JbTTu0TH7iMp5JRN6/e599qzUdA/rlhafnR5x3NG1Lf+zlvHpFbFaPcDIroyo7jKIfepq2ZZpGnl4esarh0Pd0XVdtaMri0vd9HUbKBUpee7lwzdOEz17l8zzXgXHbtmB2O9a99tprr69RolzQtE1P1IHgxroZjzH7bSNOAotbSChh74WAj7f2q9aaSiwp2QlbJV6xYEmZcRSVsPGEwEMNMA+FwIQEqitjiCFUBr08Z8zOqbEqAQs4FpM0BUJAkrU1sSorU7Y6iZnUVNaywtpcCVS3DUcpeQ2rfU3Mys6ivtxauBZmZ2mctkxBayzOu9pYlTVfQuulIdjuBS6XSz2GlNYmUGtdX5+wDtefl4agrJ9FGVGGn8VSJsZI9KuSdauQKO9pWYdDCKuaFeR4O7GCCd5DXudp27zfkvuWXIytiiKhZM8GRPXLQPRee+21115/e6UkINKyLJnJr/n222/pDwPpxx84Hu/4y7d/5v7+DmPkdtsMwxAC79+/5ze/+Q3zPPP09FTXiru7u8r0l2HdglIQo+d4PNE0mnfvH7hcLrw8P3KJkfvTCe8dpJRnBTNN0/C73/6e0+mBxnY8PZ3573/+C9/87huO93c3w8AQAt999121Ueu6jmVZGKeRGD3oksvUE4LEj6hMdGnbSIyJcZwwpgEsw/HIPx4PPD194eX8jLENw/HIH4b/hcvlhefnJ86XC/3QYa0c5zIvXF7OPD4+8fz0wtt373hvP3L35i3fff89//Iv/x/evHnH77/5nWRDjWJfWsA+gNPpxNPTEx8+fODx8ZFpmnIWZUsIMTsHJaxt8DEwHA4obSRjchRQ9XTX173CNE2cz4vkcR/6zfB2WbMzfaqKxzdv3rAsSyWIOed4enq6IQr3xwNtVknInmFmWZZqg3djEa9bZpcI0eXM0AuHw5G27YhRlJney/7meLz79/o47LXXXnv9x6otUTX3mkICMZtIEJXJI2X2qiQPMAXBI/Xa+0EhtRZnvjwjT/m/VURn4EnpJBavUUQrJqvftg5BWzJusfQstSXKbkHEYp1a7l962dJHlnWq9MjFWnzr+lNyEX/peapyMPfDSinJQo5rVqRzspZ57+k6AfYKeAcrOFeOsfaz2TlBgN01v1opVZ+raRpiihnsVcxOIuqcC4Tk8fnYm7bhcDzmqBbwTokIKa/R9bVm/EMpy/Ew0HUtfhrRKPq+ow22gsApxryOmxyLJ3MAo3Tdz6mY0I3KmEzheSfp6wFCpMnrv3OOmBI6CYG7/K/Ru3Dor9UOQv5KCdgopqYx25wqrUXZp1Px3cw2pBn8SwC6bk5J5eKjZGOMSLhV8MRqw6VJOtVcSFEoSrYTlMHU7bHJBTPVC6lSq1Iy66BlaClHm3MYI95FGtMI2KcUJj+/KhZ05bWnRMyhvqQkxxRBBbkYRx+IOEmZTIkUA8SAyc6tRFF3BhWIiB2LjmvIrtooJ4pcXbH+vu06TPG8NgalNH1+U4wRi7vgPc57FjdzXc40jWzubduItLoR1mHXd0QFk5sE0O0sjbEkBdMy0ySLsQZlFE3bQACTlZVohbIKlbL/t1KSUxnF27sxYKyh61ps0+CDk4tiXO3gig+31louVJuMKjlVARMTOmjJDFOKQKzD6F+ygttrr7322uvvq2maGccxr0ncMAl1zo+QjW8ipLDmK5dmYANWlXyGanmaZJ0oNuQJVmMDqIrDYk3+2g6UV4xDue3KjvwlwWYxaBXAMVVxZH7U9cl/oV4zL9PPbrs5L3lLnlIiGrGV97mxK/d/3XwVULA0hItbbixmytpfGI03x5JuMzde27wWO1t5jNtjfW05U5o359zNOrx1mPilTMutfS1KQ7aLa6ylHwaUgmVeWDbZF1hpyq7XK7Nz689LPmfeV1Kem2xx83/yPu2111577fVvr9PpgLUNyhqG4YhzjuE4YJsuR3BohqGj7ztcGPny5XMFLMmMfq2otwWJaxmGgRQiJmcQKxIaiWq5nF+4Xs5Aom07urahuT+hfORyvTIvI13X4sLCy/nMP/9v/5muG8TuKxm64UA7wJ//8hcOOWZEa5kjiDLPcL1emaaR0+kkhFfb8Pg8orTCuTULsRBerTUYI3Zrzjn84ol+orVtHqLB/cMbvJ+5XCe6vuVwvCMkeHl54vlJLGSPhwNN0/Lx4zcYbfn00098/8OPPLx5y8PDW9q+5y/f/8B//9c/8vL5mY8fv+Hu7q4OIAvRq2mEvPPp06cK5i7OcZ0mgl+JyCFGHp+esLahaaXXXpzDLQufPn0GYo09kaFxqKQfISAJ8eh8PkMydX0vFrHDICrPeZ4B6vfTNDEtU864EmeGFOX9nnOOp+z7DCXrq+9brJW91ngduV4uPD0+1awspcAtrlrd7bXXXnvt9fdVccwrisekb7MWU2bOFltuVCKGMn+WbixGhVbbWav0hiuIWUqAyO01XNaT2751O+tde1pqU77tZbc9b+k7S95wIdAUAm2ZU5RetjzXL2VIyhq42r+Wxy7PVx4DqAThZfm529D2HLwGSxttBXbYEJpjlDXZb9yLyprbdX1WnFrJbnYL4zQzPU+E6CXSJDsi2cairaEbejrb4n1kvF5x80JrWxHteI9bFny2Yz/eHZinCZOxk75vUaqDFAlZyOSz3arRCowhpkDwjqRElGWyjW/TGIyR/EiTieQRBUlVItI21qVGruT5QiGX7/Xz2kHIX6kEhBgAhY9RBo5a1IkVhIwKZQwpzRJwm7bDNnCLzyg/2WdaAkvDTRbQNntK5y9FGUn+Mgip2F4Xi12nAKBiCwYJo1QGAQtzX9HahtZYdHVuy69l+9pfDRKL3VtSkn0VcKgYVwVlCKTga35jAlSK+TiAJBLo7cULVqVIeZ5ywW27TnIrrJU8RGNom5bT8cibhwdSTJzPZ8Zx5Ho9c5meMhP1SpoQFWdjuU4jTdeKmiRJAHFjLcroHBLv6fqermsJmUGqENtVFzzkGIfy3gsIHeU9MoaodL5QWUxjaDLLUYc19HdZlro4rvZxalVpKIVOiRQj0UXxv5YkD7F3vXk/9uHkXnvttdfXqML0m+clk11UzmHIYFa2YXchEmNeSyk2K2pd/1K8WcMAXAYuVyKSrCOFTVeAp7I2l3UhvWpQtuDgajeafgmDpGRDkq3Zi0XN+uvN97+guLshvHCbDSm4qL5pauRxEpEIYX3cXwLztqH2KSWWeSHEXwYhS54ErJaqWyvX7cZfnpMKRMqPbsHibWPmvRebmI3yUQEmN3ivweDXGRoCIiZMIza7rW3ERqY0W/l91klIazHlLPENCKmtDCwLkW0LKu9KyL322muvr1dCI5a1xvmZtpMeDQ3GKAGsUuJ6XdAKTscDvmvr+nE6HVFKhlBt21QW/8PDPV9++gIkIRkbg+07ur7LpFMBsoJfUASJAZlnTvd3NLPhj3/678zLwsObByGjaIXWDRpLmj2LcxxPJy6XF15enjkcDqIeyFEsXddm9d4jbdtyOp1483BPTJFxmvjxhx9QWvH27VuGfsAHj3Me72TQp5XFWsPiHbaxJJ+4XC9AxDYGZocxGmMarO2ZZ49SmqenZ4Zu4DQMaGX47W9+z3A+c7mM/PjjJ0xjef/uI+/efuDp0xe+++47vv32W96+fcvDwwOn04kYRelY1thlWXjz5g2PL89Y24BOnF/OgGLoDwIwKlUdKLQxtH3HEAYhgee9XBkyK80m99Fm6zqDNS3zLGrGeZ7rfud4lFzJvu+5u7tjHMUVY3Ez18sLL88Ba8VavW0brFGS+TmPdQDcti0uOfq+53Q80Lc943jl5eXMeLky6znv0cTNaq+99tprr7+/tn2zzkBkcSSqoFtKJJ2wVhNjICDuf4kozjQpZWVezMKe0vcqVI5byxZEPwMSJWKlNKL65ri2WY6Jtc9+Tbwtty29dXUUzOrGcj/vPcuy/IzgW/tTbvtmrakk6a3VK6xZkzLHbm6IxOWr3LeoM8XifN0fFYFRdQravD6dEmtHLbfrul7EW/n1+hBYvMd7J+c/RQyaoj9M2ZXSti2JVWnaNz1tK0DkMi7Vln5xDdfLheg9PogLwtD3KCUZkuN4FawgRhFaKVFRxqLcRGG1pu9arJX3PYUgYqss5irv8dZ6tcw4ts5OhTy9189rByF/pdZBmq8fVPnQGVDx5qJnrM5DuyzFVQAaR7kYJLS2ZCQPkqjrVNJycUMAQq3tKv3V2apNpey5XNgZ62AQIqQyqFyHZKJUFJs4yXFMaKXoh4H70x06Kfy8EL1n8U4CKUte5GZoulUf2GzbKufFiXVbFEAupSgqybQ9NuoFVykw+Wdu43t9I0knEYPHx0AawcdAYy0k6sXRtg2H04m+67h7uGeaJq7XM4+PDdM8Ms0Ti3PScgbHOEUmP4vMHtBG45oGtziWecaHQD+09P2QbVZ90ZJwnS4YtwYQh2zpU6z1kk4V7I0xonyo9jpGm7oAFEl6qXLhLgNZrRLJL1VtG5DFzGixfd0uXHtW1F577bXX16mu67G2gI5iQW4bnf9bsgBCCPgQcT7i46oQXLwjZIJJAaCK9Ym1Fr+I+qBanJa1M5OB1GaTT0o1Ajr9whe1uVlzLlBlxVj/R4Kk8u9JoPPzAirJHiV3VVmZWRR561fJXgjxFnxTWWEorzehVMm45gZofd3AbEHILdtzcWsTVRQmxhhMsZvJ57Y0htvHl0NXlIzsArpu90hsCDyFmVj+lWzvlTlKIYTlBu11k/Ya/EQp+n6Q91tpfAw455iWmZAiPiTcxipHGUOXG7Ri5auNQZtsQq9yQ8ZtLvZee+21115/X43jM4f3H/Excrm80LZv+fz5J1SOVAlBhpAhBIZh4HQ6VQvR6/Vabbvv7u7qetD3fbbyFPWcUi1t19A0DYfDgfP5OV//PeM00lhDYxuGw8DlcuZPf/kT2mh+94ffM80z//rHP9L2A9b0HA/3+JjQSnM6nbi7OzJNU7Us3eYrDcNQB19PT48sn2bu7o6cTneYt9kG9umZZRTlXtO2pBBwi0OrSEoq26w1KJVwzhKCx/tIigHbgFINXXcENH66oDAoZRjHGe8CRhvcEui7gagUzy9nsAt3d3f8/ve/Z5omnp+f+fTpE58/f+Z0OvGP//iPvH//npeXF4Zh4E9/+hPjOHL35qGqJH/zm9/gXWCaZu7u7nIMzZItcmO+naXvj1hreXl54Xx+QSmY5rHazT0+PlIyJxvbZdt2bizZP336hDGGrusYhkFs6VLAuYmXl2eenp+YxpFpupBSlJkBUBja3s9M0wVjDcl7yQ/Xmr5pMPf3LK3jOk4EHzDG/qKTxV577bXXXn9b3agPWR2Kqko+QdCelELtH0vEltbkqDR100dKu5fQRmb/xmiK2Y7euBrlbBfglXIyhgocDl1LiPFGMViOr/SeW/Vm27a1b966IsFKVt2ClmsG5G0PXrKY27athJ+isizz6TJjL3OMLcDZdR19399Ek2xdn1JYb1tmHMV5QGdRkWRsH+n7npDnBfM8Y5qWXosSMdHhg6zHSUWMNRhr0cbggseNHjc5ko8YrXHeSw8/DCSfsrNBh4qJeR5xbkIlOB4P9L24WszTCER575TMHK7ztYqFOtvA5pynEPFhqcCvd7I3UkrX2QGIM0YhiU3TRMzncNcN/fXaQchfqUQJeqX+QQGVdp82g7G2aUja5oufFtVEHiQJgJlQBFKS4eMW6Ft92sBkFaRSSqzc1ApCxrgCgqViBQVX6Xi58BZlYlLynMZYTqcT9/f3EBJjOrOkBMtC3ComipIgX7y2g0N5TQpNQCUBLGMO6VWpmLSV15SIIWZpta0X9+IHrbXGNk1lj4Q8yPPec51GnPeinoSa57E4x+PjE/d3d7StNF7LPGWAWMDKpm1JWU2YyIIVhA0bs8JxmR0xyH0W5/B54KqtxjaivvRejkcZAWCdX7D5Qq6Nqq8tBPGTNkbL4DblvKe0DjbLArBVhxSGi9YZgE2RkKQZxgqrdgkOvK+2f/twcq+99trr61TbdnVQFfAC3sUEFEaclCz5miL3E0eDrUXLFqzLzUJW0McUJTcxxpolqNlYiqZUVXs399+wCW8ViQIC/uLeVm3UjnW7soJ0v6SE/KWm5TWIuFVCys9LSnR5TFX3IuXYS70GJ2HNiyjnsqyHomDQxOAJubkS1ent+Xl9nl75zt4835aFumVqAjfHvF1bX2dDlvu/JlgpJZmay7TgZtmfKMQKd5tNYqwRC/lsfVPWeZXBR3m8VX2a0i++u3vttddee/0P1jRNTNMFnxLn84Xz+YluONB1DWSgr5JJUXjnSDHStQ0pdgTvsMawzHMd+unNmlP7OmRWMF7PXC5nWTNJNNZURv3TyzM//fgjb9+95f2HD8zzTDv0LHNkWhwv50cu44w2LX3XY0zCaAEKf/vb32bi7ZVpmjidTmitmecZpRTDYaB1hvPzC+fnF46HI4duoGlbFIp5mXHTzPU6siwLfT9gjKXr7kSFEAWEfX5+xjmHtYXcbEhRY3RDd7wjeMf1fGVKM/f393RNx7R4rteJoBRv371ndp7HL0+4XjI4379/z9u3b/ny5QtPT0/8l//yX3j37h3ee968ecPxeGScRj5//kzXDXSd5CgaLXMLsTdbFRfLIjazS3Jcr5e6T+r7nuPxwPnykjMlY7VbfXx85HoR0FhrXUlITSPg8TzPXK8ykGyaBlRCKY81ivu7E4e+Z5xGLpczj4+fhHTcWKxtavRKjJHT6cThcKRrO1FZLI6h70kxEW1EKSGK77XXXnvt9feXsRsALhNvrbVYY9eMxJgk7irEDDwKCUn6fYXSsRKQS70mvZaYFsXG1Whz25Qi2lDBw5iVlMXqNHlH8Lez9a2tZ3EKKo9XiKuvj6esdyGEqvgs5Jptby9EqHDzeN77G4vUrTXrlgRbjqkShDfHVki9SikaZTBawELvxcHBBwEITX7d2+cImzG2WKw3hCC2g+MkM/kQgrhOmsjsFpzPcS9BcAdCYh5HiZbL85S+6zBaEZPs33yQvwWZtY9455inCTJ5qbymy3SROLiCveS5wTzP4lTIqnbUWtE0bT135VyJzaxkZm7fW633df6v1Q5C/kqpJCz/FEIxcl5BNoAU8zBOEPiqVoyiUAxBWBTywRcQUuj6AaNSBjFF3itPKNacKivvRAIhakZImwGiZEAWWXiKtwpJMphGLOPB7MVsJLtw6HtiCPi5qfLjFAMoUYBsUES5aOemawuaRhVRUaN1EuOzil+WY0wEny92IWDsOhSUPAu5KNkc+G6MwTvPdbySYn7MlOrAMEYZ5Drn+PT5E3fHI6fTKZ/DSPATIMyJpuvQRhNJaCvZjyEFfIyS65USyyKgoW0aUop4t5BUojMdWlnEFjoDqEkRG0NwgZAko0JFhAGryN7dQRgyZfEyt/ZtbdsKA6QMITeLilaKqAUpTahsyWOEpUsOHM6337Oi9tprr72+Tm03nMF7WU9DyVPONicZkFpyfoSsz1ZUiHn9N0bTtE1mE1KttgoYlbI1eQG9Ut7Yynq9Hot8swJSMSvhlc4x50UJqTURIUiVFaHwMOsKnMHHVEhOKtX1RRSTVBbf60pJVPgosZlRCjRJyExFqVhARKXRWfn/+ryW70NKmJQIKas+U7g57pKtrXTOYt7s2+UcJVT6OQgp59oXkWgGD8VKN6Rbu/cyvNx+L6812+CqnJFtTLWAV1oLaSzvq1RRpEIe/JaA+5zxVCzxtYYQCD4ASexrs/LRNg1Jyd8ASuzlCgyp8t+L9TvZaK+99trra1SIkaenZw53R969e8v5fKFpLF3fMk0zTWOrNefpeBD77HnGIevAu7dvaZqGT58+SV8bPNdL4ng40DaWeV6IwTONkev1wjSNtK3kCMp64vn002d++ukTTdvzD//wD9zdnUgohuMpOxyMaNtgmw5jOubZMY4XxvMXrNUcjkfePrzh/v6Oh4e7bOnpeTm/4J3EijTG8OHtRxZ3z+V84cvjF56fnzgeThwOB7TSdH1PiggJFzhfzlyuF6xtaNsuDzU9h8MRWMnHYkXaoXE8fv6MMoaweH786RNDf+Dtu3c0bcfj+czz8xltDafTPTEs+BAYp4kYE7Zt+c3vfodbHH/+y58BeDlfOJ1OvHv/gU+fP/Hy8szzs6g8+24Qe1a2hClyRpbB2oHL5QWX92/TPPFyOaMoeZIzX376gjGWh/s7UlS1Dy+OCCGEShIuc4ppmnBuwZhsXZuzJZXq0QoOw8Dj4yOX87mSlkQlq3n8/IUfvv8BaxvJ62w61DFhFehWLHSTX/6dPg177bXXXv+xqrUN1hhiiAQZpsrP7OrAU671BUwyRqO1JZHjzZTEcb2WqStV+j4lCSzFBZBNj52ovXbpKQsIpxRoKy6HQa0RLaVnLtEg2760AH4F/CqPCVTSDFCjRWAl6NwCp+t/bwHNki9Z1tTi8LB9nnLOtmBn2zZ5hi7r1/FwwCo5xynjFM6LyMcoTfQBx8IkYAi+adCmwTaN7MGMuA0u88zkHWJ36gnBo5HXM0dfI9kaa0kxEZwnBMf1OqJQ3B3u6PoWVMR7AZW9j5mANnG5nPHOEYOHOgOQfr3kiNocM5PyPGgp9qxai0DMGJRRGAzeB4lQexWnswVbgZw5utcv1Q5C/kqpoFABiBGroTEWt8y4xQtrIkWS9/Jha8oHWhNSDiWNAh4ZkweOyCbU2Abw+KTQUZGMDNO0UkQF2ohysfzxaq1R+XJXWPOQL4xGo1QEgjAuyqAtBLELTYnW2qzODIznZz57l5l7Hp88trWkaDFG2BjOu6ouiLomUxKRD6IyMsizBjCQkLzMpDJDAbkYJx3BSnZDCOK5/PpDqr3Gx0RQwsqw2qC6rqolARKh+lVrrYTVacEnJ+xSFGhLSOLxHb3DoFFWSxaHViijaIzGZlC41QZiomkbUOCCxhjxne76DqUV4xjRKqGNRhtNb0Uyb43OlqsK7zzWWJTSRCeZk1prfPL43GQ0TUNKgWm61ou3Uoq2tUBkdoHZzVm5mTDKYKJCRQg+27kqySoLu4fLXnvttddXKb8s3N3fMQwD0zTx8vICIFap2e1ArEcVLkpouTWWqMU4OyXZCHddR981WAPLMjONMtBUKaKLKl9FMEJuAnKjtCoNZVkUFZ1Pq7WrgI4KFdWKOALRQUJncHFdh4vjKkplQE6apBiDAKFagTKgFCETjhYnTYPWVqzGg8elmHMuNEYJKUbrzDaNsYJ2JScyxiCgrGxmhBBkGxKyER+XEZa8nzG6OiiQAsoHXHRiZdsIcUiVvUUmUQkYLMcbgmNZQh0mloZvtbURQpJG9kRJqXrqRJlo0aZYx+QsbyUgqLEWU2xWElhr6vfldYaY8Et2yYjxRoSZYgnHhJTfPx8CB2WIGdxVeU+hG0OrOyFSBWkk26bhdNrJRnvttddeX6O0aekPd/z04yeOpxMoTdO0vDxf8CFwGb/l7u6OrmmZrhOArHn5ur9MC0YZjsORh7sHnp6eeH5+xmpLN3SM81VIQlozjiPOOfrDkfNl4nK5siyOprF885t/5P7NG46nI421oiZA0TYtb94OfPn8SAwLjQkMvWGZJB6ktYbkFz7/+AMhBuZl5sP7D2LVehyYpwXvF8bZcz1/Zjj0nE4Hjsff8fT0zOOXJ16eH+k6sVSzpuXh7kQ/HDi4laQzTWIpWnpUGVT67Aq0cLm8cHd/h0bjE6hGhomfzy+c3cybhwe6Q8fh7iB7qnHi6VlUJymv3ykmruNM07T80//6n7lcznKOfEDNjuPpnpeXF+Z5ZspfRZlYchcb2xKLSiQJmaftOnnfosScjNcrs1sISTEcxUb36eVCyCTgpm2Zp5lpFkXp85dzHcoWZUqMAb+cabumKj9iTFwuZ/q+pz8MHE5HYoxizbs4lmkRe7qQuI5nzo9PpJRorOVwGDgcDuKstOwg5F577bXX16jetFitpc9OAhIaNDppUsidZBRRj+QmSo9VyaYKYnIya8/xLCIAUhglWqGQ3fMEvDKkLBAq4pD6nZEet2kadCanBB9AeywamlaEMplQDKsKMaVUhTnFLnULRm6BSqXUjZVrmZlv8yXlNu2NitFaezNf2DoelTzM2wg6hfcOrRXX66WuhfI4nrbRNEYRE/gUMEBnDdbIuUwp4ceRcZ5xbYtpW+7u7zgcDzS2YVompvGCWxyd1tD14sSgDSooSIroIgSP7aUfTzERnRNkQisCC2DQJnFoerTWXM5nvFsEQF3EAaEAv00jTGUXPVZbmTtU5ekKvNbZgtUUl12VIipGYggClm7eE5QmRCFBK61Zwg5C/rXaQchfqRgh+Che0apYmkluYfCibigDsFQs1QBiVvBFUQ1YraER9Hz1dlbowt4PAYWoIIMOMmwr9qgJGYgFUUxYLQPNUiHK0E8bU5UA8hwJH8TKrc82INfrlS+fP3PterGhq4CWZhh6tM4DT7V+UAvboQz/ikpSy0mRAV9VSCZCVnzorGhQIEBtyrYuSUkOUj6fzi8YLQwDow1NY7GNwbpVWo+KNNbStA3GCEsBBSl6ggtyXtqG6JMwMLwDh9ioWiPDUNPQthbbiErSKFtBURSE2KK04nAYsE0j6oQU8F6O7XDs5XyHkpNFVktIzqcsMnLBxsrAt/xtFMYKrKwVsZPJF8fgmN0sAKbRksul5EK3LAsxRQnltZZBm/8L/tL32muvvf7nK6XE5uzh4YG2bfHeM03Tz24nWX2JpAJCcDOEGATAKmm+SQAqAakcKalqI3rDjsvLboqr0l9lkglZ/Vg2/0UVKc+zaXYENYMkx7W1FS2qPShO75mtiagfq30p8k9EHGhlKyHrtNZalKEFvMsqwMISrCrGVBwdBIgrWRzGrBYsLg/9Qs7GMILEkohZwajQKbsopIje2JHe2uLEm0apvOay5ymNG8hr+SVlZrn9Vk2plQElVvjFQucm06M8f1Wnpgwsrq/5F+1T83tvjMEoXUlaKisllTH1vCo0SRk0ws5N6hceb6+99tprr//hOgwHDoejrJUpsjjH+XzJdumJ8+XM9XLFGsPbuwdx5vG+rsNFQbEsS3W1MbnnXpaF4/HAsizMs5OIDaV5fnphHCeU0rx7957j8Qim5D6JC5JShq6VDEKbycLDOFJiS4iB83iRtSyvXSaTgf705z/TdR2n45H7h4dsJzrx+PQTfJE9RWNbDscjHz6+IyUYxzn3nRHbGEL0ee9S1IWG+/u7+poPhwHnHM/Pz2itON3dMY4j5/OZ4/HI4XAgxshvf/87Pn/+zPc//ciHDx8YhoF5njkcD2jb8PT0xDRNOZakw9pGzteycDzdMRyO2TpVXBKEuLtGt/R9X4eq1+uVEF5uVB7LstQs7rLGA6js0iBfmWSlZnzedz28eaCfe8Z8zuU9nOveIaWI1RE7G+ZpyuBlQ0rgFo9ToriwRkjcNJoUFFqF7GuAkItiIIbA5XyWzMq0exrttddee321SmK9SUpiSFNz/ciz+uIVlHtLLTbjWoM2gEpoLGQHRCgxZwkfV5DOmLVPLP1pAexyQyj9rtIkK2r8FCIhiGOOseKI0+qmRoaptPb1ZV17nQO5Rq+Jum/b75YsyPLfIE49YqlusbatwGNZM1+DbMUlqOx1ik351jEIVuCz9NTOOVSIhEzcAWitJeaeHKQX994LAShGmhSZRiME7ZxnrWKib1u6ruPQi7W5OCl6xlEAREKszkTyeHI+jdEkIiEmjFEYbcRGdaMuLVEsK7BqxPEpBLFbzXhOcSosgG9VisYASvZ80XsRCEUBIVMyOccSnFtwbiGSMAU32esXawch/w0lH0QZmklmQsR7V1nrkEFCVgG3/N1lz2d+CTTKgzs2A8rNBzxVNUOReq9clOvUAAEAAElEQVQhu1rratFWbq+VkgHX5kPnXBCmvcpgoYKmsUS/yq9V/XDKRZFUsp7KYFFs5lYPajl2ed5fzkza2p2Vi95WriwX9kCZkxptynhULNe0XECIiZQTXbUSSzyjxBouppgXHIXKUveUws1FUlst4GNjsoUaeUhcvMBTlcn7rPzU+TWtqo58jozCOVcv9MUXvFygtlJ5aYQMMYIxt77a5fvSLJUFo7QjNwtPYnPeNoPO/Xq211577fVVyntfQUitNU9PTzfAF9zaiBcQb5vVsM0e3G7kSfrmmr593GLdVTa8r9eI18/9+nsoNuD+xhr19fNsa7te139JP/t9WbvjZj2FDOqlUPcqKRVAjrp3KGH3TR6WrmDhChqC4Kcq29+8bhS29jDl+aVxCvX77V5H9immWtSU1xCir+cj5QY15HwIa404KlSQVZwuXjd+2+bv9flvGktKKyD6+j3bHldrG1TeZ6gsVc2C2Lonqec0SsO611577bXX318691rv3r0Twmu2xn45nwkx0rYty7Lw8vKCVYYmW5UVtj9Am9eLGCN3d3dYa5nniaYTC/YvX75wvV7rmnO5XDkeT5xO4rRgjJGoDWMIec0ua+S8yZrssqKvxJa0RvroaZqY55nFyZ6h63q893z3/Q/89Okzd3d39H2LaWwm0Hquz888Pj1hjOF3v/sDH7/5iNaG77//gcenRw5uQTeWEOJKwDHy+q/XkZeXF1JKoj5sJPfweDzS9z3LsnC5XPDec7mIOkJrzbfffkvf99zf3wuhS60D26enp0qMVkqxLEsFVguAGGOk70WxeT6f6zD1dDrRdV3d95R9U8zv33atfj2QLcqN8rvj8Yhzjuv1epPldDgc6t7DOYf3jtOhYxj6SjyyxqA0vDyfZdiYrWq1lqxu+2Cz8sKxuEnmCz6wLDPLMjOOV5bZ/TJxaa+99tprr//hkpm6uBeVNWUYRDzyegYt5BSZA2utBIRE5s8pkom9VHIt3K4ppf8s67c8/22PmFi/L8Qnk4U8295XaU3MfTysgGI57u3zbZ9rBdNWEu72fuU1l7V129duH7NkVQJ13VsBV7Mh9t7ajhaiVnAeHwV83UaZlBiy8rgVOMzHXhwjmqaptz8ejzVTsTxnmNdjkoqVoFR6/TpLL/Nyleoea5tnWe5TznPZS6h4uxZv5wzb1y5uURqCgKMFJ0nZaSrGwOgW5nnKWIrO/+71S7WDkL9S1iiGvqNtG5xbCM4RvKsZkYURUa07UkADgYBSEZMVlCmS8/7KB5g6PPyljWjJeKxgVIqAkhwhndBpZeVrs6odlFL54ibaDGMsKUbmecQaS9/3tG2fmSIaY+TDLx7OayBtyoAg3IKQ+WnkGDcX3O0HdisHLx98rcU/uQxdt8O9baMgmQst1hgmHwnRC/sAvbJcVCKVoW1KKyvCOZG2K4W1krtkGovWEFMgBEcIruYyDZ3i7u6EUnAZA0Yruq4VZkqQ5iPm85BSxCfJdWqaNrNANBjHPM+EbE1nu2wV01j8MuP9ymzZMjDKRX87FO7ajqTZAKYy4G0asYvVm4Vgr7322muvr1Nt29K2bW0otlYnW/ZhjIHIuomv7MdcN8QgrSsIWf57C6oVm5XXPyv1GtTaHofcgXUx/htq2xyV51cbco0ux5j3BJKZGVF4cYVIK7CXYrZufwXWbc/PtjmrQ8fW1ucsjde22SrnZ220VvB2u3aWBmp77kVduTYQ5VhWe5qGYRikCckqzbZpbxq1rQ3O9t/6GrTNzcctwPr6efq+p2ta8JboA0sUZ4iiJy3OCklpYczGiPPub35v99prr732WmtoO3SiklSsMSze0WVw7Tn3ZafTibj4OjArQ7yUEpfLpa4D8zznYZnHNIaXl2emaWJZhITz5s0bDsORruvputVFx/vI/f09auOA4JyrYNyW0FKe6+PHj8QYuVwuFZQrbg1l/uC95/HxkRg9tkkoLZZuh6PkPzrn+fTpR56fn7i7u+d0uqNpLF++fCGqQEpiCSt7EIUxbT1XIPsgl3OalKcCf9baat1alAtt23I+n/ny5Qvv378HZSrAV17Hly9faBrJS3TOMY4jwzDQNA3eL3VfVPZl5fyJWlLO0TCItek0TXQ5wmUcx3petkPKQlBSSrHM8lzjOHK9Xm/IxIUcXIacIQTm8co4OmL0zLND5iImv69lX6cyWThynSbZ11jDoZUZgwJilJmPmxeWZWKZF/h//x//930I9tprr73+g1aZmZYesKwvsnY5nHO5pxPHnxVIVCidgCjOfvJoNz341hlnCwBuHXa2PW7btjTZDaj2wiFgO8kdDkuQyJJGcixfzwe2IFv5WZkZb/vk1/jBdgaxnbOX/rSch3K74sq3neVv++nSA28Jvz/r463NUXFITmZRGIE4DuTHMk2DMgabEi6GSmCy1nI4HLi7u+N0OomV+jjWvr3s1wrGUeYCQlZqK4G3HJ9zXpwG4vo+3eA0r4hKxhim8wvEnAlp1xlAydpMUVwWqxJWJWKUHl2bEqUTmGcBVp2fSSkQtxl1e/2sdhDyV0pY7DYPv8QHWgHGGlrdYKypF4MYvISUUhR88scafRSbMSUext45IOKDX5WTKmc35f9OSTa1cuErw69is4Z4qpFVcQX4K4MseYA8pORGnqm0RO4KpimKvtXFelVBCrh6e8GJlSlQLoppPSebD/P24ijDQui6JjMOVH09RVGYMsAq4bCatm3omgZcZM4KC21E7anIakVza3EnPt+i1Ez5BccUSD57RceQAVtRNYrlq2RCxZzfZKzJqkctj6GRr3LuTAkKLtlNqioogfy4DV3XYawmBU+Mt4HAZVF5rfTw0WNzpmghTaQ8ZE4p1ewq7z3jNP9Nf8t77bXXXnvdVgEex3FkynZbr1WJFWDK5J+yfm0bhC0zspBMSjTgLxF2yrBrGyj/1xSYv6TCK+Skm3Xw38is/5kaMiWxL9koEUs+os7MyKr6jGSbE5udbVYb+rIPKA1VbYI2jVB5DpPzGwsI+Vr9Wexb1vsU+5QV6Nu+h+V9KszHck6371HJ/pDn05v3TZG4VUCW1/tzJwfq/WMoDMhbELI832uFp7YWnxIqyV7GGIO2+XjyXiw4n/d/e+211157fY16fHzkeDzS9l11ILLG8Hy9AjD0PUsG907HY12XjRGnIFH5rfnH8zwzzwIEvlyeCSHQ9z0PDw8cDgceHh6wtuHl+cz1emUYBgHUcsQG6ufOByWqI2XyadlHfHl6xhpDQnE83XG6u6/r67IsdWC3LAvn8xMhJoJ3zIujaTzGWBQKHwPnxy98eXrk/u6Bru9ROjFPI9KXL3nIB1pZrG0YhiN9dxCybRDg8XI5s7iZ4/FISqlaw3VdVxWRDw8PeO85n8+ErJLo+p7j4YAxmvP5LOd8mQkhcHc6VfCy77vqNmW0YugP2KZhGkfIQ8hpmji/PPP89EjXddimIeT9gjGGFAPGyEwlFGejGEFrhmEAoOu6asF/uVzq3gWo+w5jDIe+xzvHNM8YUyzdTbbaVTkrLPf2WrG4ADrviVJxvYp0TSM/M5qmbUmsg+299tprr73+9oox5Gu4ql/FfrXgYmrjZAQ5VqvMzpOiOBRC6fOy8c/GfbDUDUi16e1BetK2a7HGysw/ZbJsqr5/1dVOqRKnpup9Sz9bQMJV0LP2ratrztqjdl1XX98KyjlCEEWiqPv9z56jVBEC/bUcyi0IWo7dNBYdN5mWm+PbgphixS7HEedJnImyranRhsNwIGawdhon5mnCLTJ7MEocGrTWJEKGQRRt0wh+kZLcN0oW6LTIbL64KLy2nd2SjJRSTONUX2N5P7dg8/a9UBoUcZ2/KIVSiURgmq/EkIRwlCKEzRu9189qByF/peSDJF7SKcWqfFQKbGOrmgGAKCGlKUEMYheqtMbUvICGFORDsSziO6xYh49i6VouLAKlyYWyDC83QzK1YX2UwZcqM8EydINIBA2NlYwKHz192xPDegGGolhIFZArwb3rRURk668VkQWELBfIwvoo58V7GRRa29wE+ooUXt/IqLVejwfk/AbvicHJ0FNOyGpLazRN8bEuUlOlViUhkZKVJeG/YE1D17Z0fc8wDMQUmeaZlCJKG3z0KMeNfa34xlFB2WLRYoxllVmvknCVVy25va0X8O1F+TV7Rv58ImF7YTNiI2utrd+XTJK99tprr72+Tl0uF7TWlZm3VULWNTff9jWAV+q1PYsxJu8H1o08rx5je59bO5Fb9uL2uW6+5xZg2wJhpSn6targaN6nKKVekaO24GAG6KIQhxSyJqrEjbW7UoqwWeteqxDlOdYGcHsc5WvrFCHnaVVKbpuJYne6ZZG+fm3l5+IqoOreptrO6J9b3Wytcl+/Z1XZ6mXfVN6v17cr/5bf69x91tdkDbaRbbjKhKykNd7fKmz32muvvfb628t7Aa748pidZSyH4wEFdehW1ohlWXJuYsDaAWsNIXi67rBZExPPz8+ypqH4+PEjfd9jrbgqOOfQymQ1ISvj/3jky+PjzVq2tSK7Xq8sy/KqP1T4EOsxgQz82rbleLrjcDxxuVxoWkc3dMS00HUN1hqc81mh6Hh6eqpr68v5Qtd1HI8Dd/eHHDUTcEtgWYL06Kphnhfu7iJt06NUYJpmlNa8efOmro/DMHC5XLDW8vDwwOVy4fn5mWEYOJ1OFZi8nF8YrxcZRjaWw2Go6+zz8xMhBE6nEykF2saiFRXsXZa5qiZTDDTWoJB1f54nrtdLtqhtITUVGN0SolNKWGUJYd1fFaJR27aM40jXdbJPgHV4aRtA0Xc9XdvV1220oW07IK0ENqPR2b0IgFSITDlDKgQWNxGc3y3X99prr72+Wq3CmAJAii1mWUtFZFNm6ltsqMzaJXJE1DvrWq8I7jbupPSAJbO4/G47O5C5v8Fnm/Ku65jccmMHXxzutgDjVom/JTy/ngUU69TXxNv/M/XfdkZQ9jvbHn1r6/paTbndI93Y0iqd5+35NtlJqfS5W9vYkjEZUqxraIwRo4Uw9PQocTjjdWS8iqrQh4BtRG0pgJ8hKY2yZMcmSwgeNxVrdIuy6gaL2J7PcgzTNOGcgxiZx7ESwwtxKXh/My8oVURnMZbzLqTimEL+Oyngd6Rkiu71y7WDkL9SViusyj7GLjcAUSxXCXJB02VglTfHIrvOe9Dgs+WpomstTdPRzS2XyxWmnysbyDatRb0bQqigmzLrhU4BISUUCqP0DfhY/t61uE/L8aQg6s2uRyst/texMPhTziaS16MUGKNoW9nAl8ZHNu5ykPLB05Ud8HrwuR0IFpXJPC+kRPWJLrcrA8RyQTXGFF03yoJVkreBOMChjOQuJACdUAZ0krejAKPGaFCapBIxahShKkFVldUnxvEqzWHXkhCVqjIaFYWtaKxGq3zREY0r2mpiTPjoq4ZUG1F2mEaDTtnzOtxYrpYLYrGuqe+lEptdZRRETwp5gdCb7Mis0vy3DJX32muvvfb6t1VKqVp4lYZiyyas19yoWDKj8fX9S5WN/3ZQuLVc3d6nAJVlU1+aCCEpLfXxtnYpP1PcbVwIyu23A7fCQHxdtTHx8SaT6bVFbNw0PtKciIuC0ZoQIsEHIUEpWRNl6CfPEeIKpIWQnQj0Sm6KMbDMUYZ2r15fyZbaskqlQfi52rTcrgyOi01dYSyW27dtKxnQ+bnmZWGcRnldTXa1yPuT7fv6+v0rTRqS7Mg8z/XnQFWwbNfqZVlw80JntAC2QIiJ6GQPYYzJALAmbP4+9tprr732+vvr4f4ea0TRiFZ8/vITzy8td3d3PD8+VWLvsiyk4LOyr8kWnKIUCEGszF5eXnh8fKRpGmKMfPPb39Q9A6zDSFmThLC6LAs//vgjtm3oh6HauR6Px0ouLbmFkjUpqsy70x22aWpvXNZPpcT+tKyFRcFwaAa8n2i7FmM03gXaRoZzb968F/t0hAz95csXfvjhBxZ3x+l0lKgR23I4GEKAFBXTNPPjjz8SPNne7ojW676k7/tsi9bXIeYwDDw/P3M+nzHG8Nvf/halFOfzmaenp7o/uVwuVR1xd3fH9Xrl+fkJY9YBZtkjiaphotjiK4XkOjcWa9fs6aJqXBZZl5dlqeToeZ6zLWu7WcelyjDWOVcBTMh7wqiw1mTicUIp2b/Ms6NkQnsvswxjNdFFmVUohVYGpTzeg24MxuS5wBAzmWuvvfbaa6+vUa+dgQqhp/RTr4HClMjX4YDYsSKz4mwjmIrFqL4VzhTQcDvjLWBgcQUw1lApvfkxxf1HY7oW21hmL7nETSbTmrxHKUTbrSXpdi3cxn1sZ8zlGLZ9bxH4zPN8M6svVucFuFyWpQJ1Zc187Q5Ujg/WOUIi4YMnkqqb4HYmUSopCCmilKZvu2p/Wl7fy9MzT69cphojEWdLxl/E7l2i5cRRSYkzw7LQtq38XClSkDnJu3fv8N7z9PTE5XLJjg6hulksyyLgQQwQIy6Tk5dlqYBl27a0XUefcQtixGUiUkoJk8+fG6ecx60qyB3TrdJ0r9vaQchfKaVEUReiv2kSpMSKKwRRNRYpcIwhSxUVKSmC91htJZOx67DakBJMs1iLFMVjShJ6KiCkAIySO1QuPFGYE1pXS9aYUo5LTNkmLq2AZEygJHRXabE6LYO2YueqlREv7AQ+Xxxk46+rKlEsU+VLqe1AMyN+lOcOQCp6d4pSswxNt8PD7aBOLmwa58B7xzhGfNMIuyL7STfWrK87I40leDaSSCmQtILs822sNGSmsbnhmnDBZ2sdeYiQovhVK+h7WTDmZca5RbI3U5DsySiLkTZb5qquqhCts/utAh/EQibFRFjmG3VkufCVQXdZyIolWyKRQqqNiWJVfMSUqtVMkbPvtddee+3191VpVLaqw20we2U9KrH+iO7WKhSoQ8CykS+b262lSWERlsagMPNgdUPYgozb594CdFtwqqwR9b83m/fy861C77WisgCDKSWCD7L+5HVKyYPcMCHL3W+O8/ZsUtwc0utj3bye+hgpQfy5EnLbMJbbeu9pmu7mnGxtaKZpqkH3tQHrWppGVbWkbRp0bqK898zLXDOXnXc05hY8/Nn5Sun2HEMFkMvQslrxxtscEmLCdi16u29KkYJvKl1sXVYb17322muvvb5Cbdb503DCH31l8Zee1IeAd54+A4Oiwptr/6q15ulJmPp3d3cMw8CciS+y5qzXfa01Wpmab5RSkts72R8U54Cy1yhqwtIjH7MlrJBWNUobNEr6bKVo2hYfAtO8oJYFcvxLCAmlLc5FnCvqhLx+ZccjrRVt1/P+/QcOxwPjeCb4RAyuDlAb25CSYhiOaGVZFsc8y5Dyxx9/oO3kdkU9UPYwZZC6HW5O2Y72eBgwGTxd3IKbZ4J3uFmcflprsccj3uc9lHN1z6S1Zrxe69zAe3+jbChD2b7raJuGZWlkf7UhYjXWMgwDCcU4jtXGtgxVj8djnfNsB7DX6XKj4ihApQCvq2NCShGWRDv0xBSrNVwKEtEzTTMlxkaR8Mue+7zXXnvt9TVKKbJVJvn/ZAZexDWJ3FdrUJQZd5SbaYXkbwV0QSIRwUtMCaPUzVpU+sAtqCnHsPazJb4FQCuN0Rof0k1/t+0ry8+39qevHXhKvSbulsfaqg6rMx9QIj5eqza3qs7Xr2/b627vuz3u8vMKK0BWeBbRzGaGkFJdF/WGsL1VaJa5SJl914g3Vc6HkKCVUqQYmSeHWxwpSlSbzrdNmpu+fLsf+bnlaqDJfy5k7CRrYTd/Rql+X+YlIUaJgjMGrSVLmyQOUfI3prJYbRcP/bXaQchfqev1gk4+s+E9KWWp78Y21IdEiF6ku8jPywAPILiAY2FSY84OCJWlxwaoKw+pta4fgspo0Dqr/nT1jo4xCqsgyoUupgQqls9QVQQmnfOesle2WLGmeiHWyHU6xUDS+WJoBNCLOcsAldAG1plisY995RGtoFiUFufrYr96GI6VHSHKgpQvdgaQY5Mh4pKPvcm2OQqVlYCQQbq8XoTsBU1KNXshxoht5CLYdZ3cXwPzjNbiGz7NIy5Glhw0G4IXlaRSRFWk+quUurBQtl+3A+JEIuKyFDtFOZ/NqwExcHMBrEqRFIQxscmCijGScnMTYsC/soXba6+99trr76tyPS4K9XJN325aq5VI2xLVatP1Wm1YBmNb27Ry3d9mOyilav5T27aVWPJLG36tdQXbynOW36tX93m9NmyBy7X5WBub7b/OO1IodjQ1rKL+XtZEVTfqqSy9SlVLeLEmjTfPXY5TGJK3mUsuOCHfvGpoyntQmqHVFvXnDVZpVra5D4W92PVtHTCX8+iz40L6hTzNLQC8bQy37/VrtUvfN/U9LH8z5W+gkNZCCKQQidagtKkNsuwvQgWErcmWOq8azr322muvvf72stZyOh55en7OOX8Dymh8DFyv13rt1kpV9Vzf94QQeH5+rkDi27dv+fjxIy8vLyzLQte2aGuYpilbqt4RQuDl5YXDcGSeF7qup+s6UWUoxeIWbF5Xyj5hGAa6rqu9fQEDRZ0ng7KfEYqUOPCU/YNzjsW5CsqlBFrbvIblWJQo0SVaa7re0rQd79+9J8XEdRwZx4l5OuN95De/+S1ayYCtEHlSSlyvAz74al9f1uDD4XBDLj7lnMfLyzPLxhbPGEPfttDKvqiQgiqQOHSiPslrebFI3TpWBO+xxmCylW4sMSeFFZwSx8OBw9DTtl3dyxljCfkYpmlimqZKaBL7XTn+LRgJkRCEYF5IZMPwZjM41dn+T45tuo4Sq5LAWNnDWGWYQ8gAJJAiy7RHq+y11157fY3SRtXr8FrZDlNlYCmLUGyO00qsRFmtBcUUcq9GVO4h/85granAGPCzXrAAg2U9KZFrQVhAwAqgxTzX3Soay1fpd0vf+brnLWrHbV+6VUOWY9rakTsX6uNsSc6lN95ak5f7wi3h+PV91/NWhFGZTGuMuA4VDCQEYpCoMR8CCoVtWvq8rpfnLk5G5fm2VrJbxwfJsZ6ydb1YzVtraKwlWAtGzvMWbyj7jG0kTO39Y2LxDrOJvDPaYDQ0thGsIyFE7TwnWBYRHCmliGhMdokSYnfCmPJ3ElD61glrr7V2EPJX6nI+E6YxfygzQ4BIzFLfEFy1AdN1bicXsPIRDSri3Ix3TrKnEPvUcjEpdqaFKdG2bbXsWhkAou7DrB8SpTUqRXwMleWYlKgjE6CMqZtxnZFGYSIEVPa8FhhP8H6TbU7JysItQ0FKbEjkIpfwXmdW38/VGKXKhfPGC3ozUIXV/qxcxKs6pMkDOWNAK0JWW6YkjYAy4sMqQ05L9Asxie3bsggbI+XjDdGTUiBGhZ8F8IuZvaqU4svTY7Zb0fgUM4BaAorzG2sEYE0pEkNmSaZiWZcvQBvGbNf0WHWraCiL0/bi7JwjkC/8naVrO2GIZJB5nufiYg6wS7v32muvvb5SNU1L17V1HX7NwCvrn1zXFcroape23aAXtd76uA1BpZtrPawWqwU0a9u2Pt9r29ZSt2rEdc19DSaW78sas1Vsai2kHGMsOlugeDwKVZuEFHJDkx9rC3pWZmfMTUemPqaUiOI1Q0yRstzFzf0K+LhlkBa1ZLHBK+dmq37cArzSSM2VrblVW2zPb9d1HA4H+r6nyZbyZa81LwuLc4zjSNO2QlLSsh8zRtM2YudSnh9u7VnL34Y4OTQ0tsfapp77rWp1+57IMaq6jhcAV9hfxTI/kpLBKH2zP9prr7322uvvqx9//JHPnz5VwGrJ0RtbCzQhCikWN9ceWCJDDMPhTc3ze3z6jNaa42mgbTuu41RzBM/nM0AFzUR5KIo3WVNSzW8uw8SUxCq0rC8FAJOokkgIqRKbtnnGd3d3dW0rJKq26cQmFLDGoJUhIsQiaztU8ITg8E5iWkSpJ2va0J9om4Fl8YzXketFrM1vHR08w2GoioVib1Ze+7bHL2tlm89vARH7vq+vo6zx5fwBOLcQo8/zhkAIjpQygJfjYrpObm+Moe97xnHMGU9LVbBer2eU0jTNOoxVSqOtOFF0XVcfQ2vNy8tL3YutFvCG4JZ8XI5xnFjcwjD0MiQtsxlWC/jxOtXBs1tW0PE0nJimK9frleB3AHKvvfba62tVyVrc1i+58ayAISRE3FIsS0U5+QpgQ9E0toKEVQT0ihRcXYVKvBiOFCNuWdCI042xMtt1bpFINbM6MRRngbK+i/uPPF+xGgVuXABKb//aQWc7iy7HtO2ny2vYKje3Tn2vX085F9uIlTJneP38r1WY5T7l+aISh4A+k6zKa7okcfxLmQit5U7y33p1kVJajklymIvbkK5RLEqJSKoQv4rNbEqpujBu1Z7RNsR5FlLTJpLmtfNgwWvEPSHgvexJIh4bkFgaPMZIfqUyGqMVdgch/2rtIOS/oQroFmMOdyXki4CrVqzOOaxW1X5FgDFh5CkEGAzBQwoYbVG5CSlgpICNGwVABiTrsI88vCoovlbiu6wMhHVQGlkHerZZcxLKoCtFYdmLYlEeV2Ulgn41/CuvfSvfLv+mpIhV3n1rG7aVkBcWilIw5fwlYUmIGkBAuIUEdG1L0zaiUDAKbc3KVlAQg8eFQNNoTGMl95HNApDErqZYzBU7HTlfZfjrsmIUUj7uBHi34ENmjlidsyNNtm+V51dmvVCH6DYX73xONgISozXWiPXtNhesXNC32R4piZ92YX3UfLAQCCWzK2dOvgZ899prr732+turqhwzI2+7qd+yDGXNMVhSZdRtmwRYwcKyCU9W3TQDZTO/VfmVAdh2015uA9w0CuXn9fli3PA41yrMwe3jlEambbuaUUUCF92q+NR5vc3r3BZITClBWePS2qhVQDGvxSbblqfN2ry6BWyU/hTXBX3TPJXbv26aytBze062isnSyA3DIABk06A0N+d1CxKWcy+PF0hxBRiBqoIoCpDyHG3b5sG1pW16lDI1v6s0KaWBkfORn1+TbX6KmDRJpqcWy36VwJNIShO8Y5n3IeVee+2119eoQsJ5fn7mMVuqHg4HzuezDLFixFjD4TgwjiPWyprcdV295l8ul5u9AUhfC2IxKvuIlhhlrWpsy/39iZeXM9M0cX9/j9GKVIjHm33BdqhYekMBFk0mPAl5xbtVmRFjypmIsh65xeG9WK4qZUhR4VzM5FnFNC7E5HOPH1EqobXhcp5p25T3BwfaBhrb5TO3ZiR57zhfzoAAeF3XMQzDTY+7VYpUIlSKWX1iCDEwZxeIvu9rfpTRNrsRQYwmr6N5vc82uZfLOe/XTAVyvXdcL1dC8CyLkx4/JqyxDEMvdnoxiF1bdjsq72MZRpbhch0e5wFweR2SxykktLa1eO8Zx2vdG2z/xgC6piXqVekSvcc7x5fLSGMlDysZw+Vy/b/+D3+vvfba63+CWi07f+4Wt+0B5SvPrpVBJHziECCV8iy3KBB1BSHbnAtYetGSOVkIRNu5QUwCoIUsEErJCiagRPijXt3vdYRH6VXLOrV9bTU2ZaN4LLUV+AioGWs/u3UiKuSlrRJyC9qWfUghS23Vg2XPUmYXZT3eko1fE6Xr96yz9C1AGUJAK0WXgb+ixtR5DxG8ZwGGoeV0PKFQzPOVcRprXNk8z6R8zkqV96is+VsXJWMMhEh7d0e7sVsv0S6/RIoWlWYDSWfsxKC1PF+KYhgVwjZSZo9W+Wu1g5C/UkZb2qapNlkxBGIS+0xCIgWFigqDwTtPcQIpisniH1zBJh9wyYnk2+QchLZBLDwjKYZqBaN0I2apquRUCWiptQxEbb7AlGFeAjRJ9HsxSa4jIav0xEok5uZBoUhxo3DIWYslEwrWi3a5QJZKWfnXDi1alw90BgRTIlGyrcSaVGf5e0pio2qtFVu7ECQfY0qkGDCNpTXZqkwr8ZfWgMm2c1GRVMQ2HTYrHGJWEKAS2mq00qIQ1VruqxX3Dw8oBfMyc35xxBSxxmKbpvpYa2tFRYqoLYwWoLRI+7U2NG2Dz6wLn61WVNb2KyCqPMBOBoMmpEhwXjIvFp9VnDFbw4jlbQw5m9IHkkqwKKICozQuBnwQgNtYi83vxR5lv9dee+31dSpGYdpLHrKsVWK9bhB7b9mAN0ZjO8mNCt6hldhnatVkm5cMvMUodiNKoxtDTAmrFU1WAzjvhRmpVG5MVuXiyiosm9YVBH1dSilCulXclZ+Xf7eNizZG1lSjUFahnFrtUZRCGVF5Ntqu7EelbhuFopLM1isCJRaVprgHgEGZ1e2BAvwFyZysm/q8vpu8juqcfR2JNKYFn61TtpnYcWVpbs9bGSIW2zaQJqm1rWRql3OQm6O7u7sVcEUUnM75yjAtA+AtCF2GlUW5KsNjGa4uy1LzpV4rGGtzmGLOHRHL2qTW3G/Y2MES8yB0dzzYa6+99voapbXicBjouhbnPdM88f79O86XM7NbiCHhowB4jbU07WrjDdTr8arik37ser0Sk8pZwE3OTpSsYYUQX4ehI4TAOI7cPzzImmsM1hgW5ypZ1hjD9Xqt6kyArrMs80TXDSilWOYZbYxkG6bEeBUgq8TEpERW+Bkkr9BR1JfjeM22rgLIdZ3YiKcgzkjTtBBCwlqTgUyVrcdEhanzMFYGsWQi9jqcOxwOcow5e1NeQ8K7JasMdCYPyz7LuQXls/Vb02DIsSvFKiCtbkoqDyfFxj5gjanWqyFbvBljZABpFG3XEcN6uxAEsFz8jDGWaZ4ZxxGtiwMU9bhjtm0XYDigUmTOdrLFkrbsFYo6pQxqtTakABqF2ZC6INF3LVrlQbi1QlTfa6+99trr765tjMXPgMiUcqRXrmrPKrPrlCIxIU6FGUDUG8JLAfQKuLUlym7FJdueuwiQUkp1vqxyL95ojU5R4kyU3K6ss8XVwBghIFV3wPy4W2XfFgTcqjDLelT696Jw3JKotkBmefzS226Jvls3w+15LXOBLTj510QyWxBSASbPssdsv6qNwYVABGzTiIinPCagvWecRq7XC6QT9w/3vH37hucnwRZmRFBVCEfWWow2OO/wzgs5Kwgmo8l/JyGJQtVYDkPH0PXVicJayzRNQtbevK56vmPDosShwbQWY63MS5LQr0OKEPLfQPw5KL6X1A5C/ko1umFoDxxz1sE0TlzHETcm4rSgksEkDTGgjSVmu7IQswUq2YZLJZKOKFNykzw6JTSFpZ9IKhAJaKvQFtCJqMW+hZQwkDflYLMta2EehASRSEjiT4zOHtamwYSY7U2kqfD14lqs1ERhidIkrdB29X3WOge9FmZDIg9mEypFGqMwVlWFpsngnlsW5Lopw0MfF9DQH+7oup4EuLgwzld8SCit8CowLTOX8SINVTR5OKlzc5XNzHQiEHOOotivGqVIGnyKGC2qSSIchoOAs8YQUCQtjaK0XHIe0IqY7V4TSS6OIaJIuNyMGGugNdA0wnINSx6wRoyWRisliEqRiMzJoZIWxSQRbTLjxbRYLTaxMXo8CdMbTocTPmdpLcGTYg7wTYmm69DGYNsGqw3N6z/Svfbaa6+9/qaK0RGirMtFyl7WnRoqn2222kYT/Ez0Myk4NBGyuk9FyTwI3hODguDom0GClGOUoObgSd6xTCPayDDPKoufPeN1xgcvTYmxwqCMgYiSvGaFqDHJVvAxUvIdC4CVX1F9SnkdtqoaIwkXFpxfmKaZ2c0CZOZQd2N0Xf8Jiug0yXt8iISYZKiWM41izASgJBbvMastfIqYtAJ/5fwlVSDLjduCkXwHGxLWps3tItIv6OxYkEFOJV4H22Zq+7W1sQF4vlwyaGgqy1T2QQmd87BjCkTviM7z/PjEPM6klJgmsdi7uzthraZpDG0jOREpenxIzEtkmVfW5FZJWUDKZREreOl5/OZvSohIqlgAZVA6pkTUGtWtNjB77bXXXnv97bUsE+Moa2HbtRgD337/Fw7Hgev1DFoTYqBJDRpFoxuST/jksa2AkR/ef8M4jYx5bQgRQlI02d6zbTvevn3Hsiw8Pj7y/PLMOI0ZtNM47/jxhxHbtQzDgNaypiiaOvTTSuPdzDR6UThq+M0372smZaMbpnni5fnK0PVCaAF8zIPFCHen99nC1eOzrax3C0Ro7ZqPGFzksoyE5GjbhpAcyzijtaqKDGH927p+2kz4SSlQ+94o/WzbSobmMJQsSyF3WdPhs7rgcDjw8PBwkwG1OIfP2VshBKzeWupFUlpVHDIIbuu+x9oW09hqDTsySi7jLAoPMolMGYNRCltUq9mCL8aIyo916MW+zaWIUoY+v+9a6wpQFgXI4WDrMPh8PuO936hOFhprKwjdWCvWcyhi8NVhYSca7bXXXnt9nbJGyMIFuKt9YVGxKTDK0FiDypaghOzeY2yOG4lEIjH4PGuXa3Y0t0rD0mcWNeBWrbi1a40KbC+uAkuK6JQJysYI4RcgE3fqcW4Ue8VavICKhaBU1p4iEio2rmV2vwUZt1akZVZQQMviwABrXy4W9E09lvJ9cToA6jFs8xu3LghlP7N1h6oArYLJLcRMdA5E3DSLoMcaoiqzgWz/qhSm0yQnBKGAJxIZhp5u6ZjcRFzGSqiWjBeF94kYgAAqQGdlDSZRSdFaiXWr1evxtzlnepqm+rOmaZimqbooCH4S8DGiDWBlRuMXT0LlsZDG6gb1C8rcvaR2EPJXylph17ddLx9GH3BPzwJSKVPBMY38zanCctsMyWKMZNtplBFAjawoKMqLbZXHjEkUFfXn+ZdKi1WrMoaUrbyqGVr+PUmAN53htpTWJqdIwwPZlhSyDYrOryOhU8mjFNl4vbhtJdUps0fClnWSgcJsvxKjXKwX7+iGFqVBGwgpEVLABY8PHpUsaRq5Xq9M00Q/DKigK/ukDBIlk0sRojRAMYm60AcBfQU0NaL2UIqoEj4FFBprDW3X1uPWxGzLenv+Q0poo0XNkS1wGi3nWvyotWRUlgt8XJWj1VpGaUISOxYVBSS1VtM1bVVgBiIqRrnYWgMh2+SEgDIq29PkLM1sx6q13kHIvfbaa6+vVAUUYl1FUaqsLcU+RMs641wGGSXvR3LsdbU3i94TclMSUQRcfjxZS7XS6MyM04a6uZXcghkfZMNdbbeL1XfaKOoolqxiEV/Ukr+kiCwNSgiBQG6cooeUWIrlC+JegAJtJFReKUXQKQevr4zIYmNDSnnvksR7IRVAUkhXMec4VBDSZhXm1lFBIfaueJyThk1cDBQ+H5fWQoySFySNQ1Ewbm1WtxYxpSlKKRHz70MojFB5T40VUFmVjRvyOmKI+TWv5KcYI43tc3OlCEFuF2Pkep1xLhBCpGnaer6LxZ4oNTXWZpVtPvdyfsTtQbMqRsv50cZgm317vtdee+31NUohNpnTMvPpp0+YpmQvShzIMPSkmGi7FkIieIkKkfgQS0hBsvxiqNbtznvpCdE1lqVYtWutefv2LbB1Q1Jonbher4yjgJOHTHAuvW6xXysDzpeXF8bzhWVZqv1p1zYYrXBurkNHlYeKxMTnzz9ibZvXsKwAXBbJKlIAkksVvCjv0YllmTe9vagp67wgH3/Zr3RdK/uVTd50GZyW4evWSclqRds0eO+5Xq91b9J1XX3OYkEXY8Q0616nPF5Rmni//q6oNBbvbo5xa2PnstIUuHFCKGBiuU9RmXRdt8kHlddUhrK3NrmqgpPDMNTjvF4veO8wNlvER3HJuk5XbHZ1IJOlimXbXnvttddef1/dqO1+gaCact+KSkQfiFFIIEa3NMZWYI0AVst63OTrfwEey3W+rBHb9W9rr55ilN6u9O25v3PeCUk3z/Z1/nnYvIYCChYL+bJubV/X635/O5cvtQUXi6vfFhTcxpNs7VHLfxcniK1Na7EpL2vjVpG5PcZym0IILs9dbjNOYyZutbRZaFMep21bIRJNU11nY3Qr0Vqp6sBkGkvTNjRLg/Op9vmXy7XmP95YsKZVUVpnOaTslOBvzlFxWTqdTuIYkcnJJTfSRAFMC14Qk7hpiKuWQSdxtdLr2GOvV7VPOX6llNXoxhKQP9DJzSx+lgFZYzJAF/MgS20GmrcXQbjNShTg8vb32+9LbT+0CerQUxX5tVZM2TasPIbeDC/Lv4UlASvb4ca2Dckm2tqD6HyZ1BsQ8vbYVpu2bd6hHGsixVQ3+i4GtNVMy0xSoJTJVmuIvd3iiaOAkIXhcby/qxZrYoFT7PIEGFRK0+SLgXNLZmxYmjy8k9ctlnqSLZHyf4txrUqRpGKBTW/f93KBJmU1xB3taQCjuV6vzNNcn6MwbkqDJjJwjY4JFyF6D1GUHCFGdEr0Q0/TtYSUWIITxWVcbdyMMbRdR5MvxuV4RHa/f2z32muvvb5G/TWr062Kr9zmddZfYQWGEGomQc1DyrcpFl0RhdYuP6asFYfDgb47cLlcuE4TKivioNikq0xW2jZT27zIX25EtutR2dC76IiILaps1NfH59XeYx2arnYrtZGTG9Sfx9I0be7zOk9SpygErI16UeeTlAqwWQlMCaVNtVavP0tybhtrqu3qFpjdvv6yF9GNKBMkJyu/Fkm7Rw45ULKxmsbUDDBrMwtUGdq2oW273LTETVZHAgxaQ9O0km+VG7aijNza7MYYIAZSyYkCdMxsT1IlkOkMxNq404322muvvb5GaTRPj08c7k4cjyeGw8Dzy4sATG0LEeZpJvjAh3fveXx8xC2O4dhASozTlNdk6Dc5iEPf07Y91+sV7321VNtmRpcBVgEpy3Bumia01jXDuGQQleFjGfKFRUC2y+VSFfqF8CIEpqX2+aI0UCwuZ1Wh8xAySc6lzettzmgWcrJY0Jc5QQHdTqfTzcAVyGTg28xsoL6OrRtBBSOt2Me+ffu2ZmcqpRjHEWMMfS82aEXBYhuxUtvuu7YxMUWVWYBfbddc5jIUNtn+/nV+dIyRrutuVB8FiHydaVVeVzm/9W8pz3LKfbbnxxjDu3fvMCaTwIBxnBjHK2FxdWawTDPzsuc+77XXXnt9jdoCalsx0M8JuuLA41/Fj9X1LN9PMpLFvn2cp9rTbWM71rmsuSHApBAr4aTO27WusiKd15Pal8pB1NexJf0UYLCsxeV4y3yh3Gf7mm/IuHld2z5uybbcxodsMYhC+in7mK3F+jYnuzz39jhKbS1it4DoLSi8CrZCCPz/2PvzeF2SqswX/66IyHzfvc85VYyKCAKCiqgoKk7X7nLACZxxRAVRGn8tTly1Fe1uVPA64FUQrgjtVVHBAXFosVFbQLtpRbg4NN2iohQ4lAxSUHXO2ft9MyNi/f5YEZn57r1PnVNVp0biqc+u9+x8c4iMzB0rYj1rPeue97wnXdfxtre9jbNnz7K3t1ek5x3BB6o/wAKrXCEKTVnCD2bzI7EoUZZA6lznKJ7Q+aJeCBFlyKm0T9hsZv9NzTyt91TnWXYeR87gJOBL4HaRicT5gHcBR0DU4cXa3HAyGptxEXTrNS54NuPA9nDDwfnzVg/QC06CZQ4mm9T7BVm3/DmJhAQg70YjLFEHjokoRIqLjimiQmV30LWvqrPSMjdq3cflJLwODEtMgzWW1amq07EJnQbOtHM9QTQi2TITjVh1pa3z5B4PfQgos+Z1jUw4deoUWa1QfIyjRTU4YRtHumGYjMD+/rr0n0V1IqXmpcw1q7ou7Ghy10GyLlSW+tWh80jOJDIU2VMRi5LpS8SEZSsofQicOX2a03e7kuvPnWNzcMj5c+cmo7MKltkYQmDd9XR9jxMhjZHsE6KQNZJFLcu0OCERSwP3omQgb+eIT6sNhUWr1uyPacHTJFwaGhoaLge863ASQNJEnFl2f7GbeFBHjIk0RuI4Ws1lmR1ViKLi8GI1nMGON5tj8wMtkqI5U4Jr9liv9un7nmEY6PsOSX4nGtGO150FR4zzIkt1XmgsUdtViVLvPRKFw2FDSkammX0DtNYtgpyUIZt0e4yJOMyR+s45cowmeQKT/YXdKfa08Fm0qWZoIMvgJ1MUWGY1KnbcVF+jnLvOXzrX0ZeaVHURBexIytRFhHOOLBnVWIhSk0R16gBX6n5ancYQHM51rNcr+n5N1/U458uzEzQXx+Fg2QvOBZx4vC9hWiKoCjlDjLlkR1rmS82eTCmS03Z6ntNCrMwFKHMvESH4QL9UpGtoaGhouMlYdWsUZd2tWXVrNsOWU3unOdxs8Dg257dstwNbbK1/6tQpTp8+zVBktu99r3vxzne9ixQTuZ/JKlt7dhPptawhVLPoKvHoSy3H1Z453CpxNo7jFCzU9/0UaS9i6jtX3NXIwLNnz3L99ddPMmGV0KpOxkpiSvCM40CMCSce502hwBSPdKrVKGIKQr7Yv2UG5jAMbLfbyRFZEeOI5pkUnLIKSvuqk3TpA4lRpwzIuraucqx+sd6u0m+bw80x4nBJLk7zjjr3yXM/1H5ftrv6N+q/t9vtiRktNXsS2CGLq8N56XiuZOsUaD2OeO/Z3z9F1/m5jpf37O97Vr0RzblkyVQZV/73397i735DQ0PDnR3LRJgluXU0IUhVES9IdogqWayUl+ZkJVFqZl/wuC7gUNjO14DZ7tUSHDuqQzFOaod1rNdyzGq9tgAbxdaFVZ2nCzu2sfrZ6xq+2qg6L1jWZ6z7VvsIu6pAtd3VhlZFBRGZgqeAnaDq2n9VidBqSh8es6nVzta+r/1fydOlgsAy43L5LGrAUj2utq+ew4KLrK6jqpQAri0pZUKw/tnfP03fD7NMrdi9mJytZS+Gbo++66Z+lkmAyOx5VUyov9f7qwqNKSX29/fpuo7rrz8PMpery5ifP/gO7zvIkEY1NkRb7ecLoZGQF0G3Ckjn2G4Gzm/Oc7A9MEm1Erkfcy61+3J52XbTwevnUebfoi2sFqK4oomamYjGyWmpGVdkX1POqHgrvqqmWZ31hBR053DiyDEtajXOE/0a7bgcoGoERpVntfOXAq/e7wzm00AvDq/ZIi215hMqofyR+zKpt+s71JuOckoJjdB7hw+e9XpF1kwYO8Tb5P3w8JAYx8VPnEhILddaDso2+d8jBE9MkawJ5+y6MVZZuWKEipPY98EIyJRKba/5/oXZUXyXK+/C3e92d6T3XJ/PkmOiKxEqlnnqrD5XMTqULJDtZkMa4xzh4iALbMfRMkM3h5YV6iyVe4mUEilntmWRRtkvxsgmNhKyoaGh4XJgKcXlnE6TYptkz5GGMUbSONdAWDrIqiNqGe2Xc+b8YHUbvfeID4WMSqxWa1b9aspkGMdoE1q3IPGqfCg6Bdgcdb4tycflv5cOtmqvt9uBzXZjUuZFScBqYBTZU6UsBIRxjOV+KZN8XwizRIqW9ehcJVdrFKcrpNsuZDG32MnoFKzGZPD4cv5xjIwxokJZ+MzzDi/e5l1OyCgpp8m5WudKgn3nxD6HcTstMoCyqLKfrApqWYfeW99nTYxxC5IJfgVFOnfYRqyWt4A6k1J1c5BQdSjXvq8LtPpe2IKw1BgJHV0XyqLVmcxsqetVOsz68wix3NDQ0NBw06DJZLPe/a7rWK1WxBIMGsdEdpntZih1Gh3OiykGiMmICnD+4MCUgZwjjiPiBM3KdrNlHK8ta9Y4EWDVhtesA5hrSXX9Ct91pdyJEV6HB+ZbkL4neI9gc47t4YbD8+fpu85I1PXKAnViLNmLnq5bW5mPMnc5f3h+ciyKd5MDz+TIe3zuLOgoW5XmIKtSNzkR40jOic1mLHOV1Y7dtgClYQ4yZte+LmtC1X36fs0wbCeCsvoTqhT9ktyrx9b+OimjY0ko1n93pVZldXouMzjqeZaysfX8tQ2VRK32e5l9st1uJ9JRVacMkOp72Nvbm/ppvV5z9vz1pGhzt+Dq3Mmk3HLpEycmO9/Q0NDQcPOhms0nTk3wsW0iy6BZC0h1pXyXX/lJshN2A1rr2nlpt5Zl1ipJuMycB1sP2xjvJt96nTt4Z6k6msr63lLqpvPXAKRqe2qw7SQnuvhZBsAsScPanmkOIJR7Xirq+WN+gqpIUL9fErnLwCHYVVSs+9egnGXmY7Xdy6Ct5dyhth+YpNBXq9WUEXnddddx7tw5Dg8PSx+Z32GUscwJTP2w77vyjB3OjWic5dtTijgn9H3HFVecmdQLXFVHRNkcHJJ1npukbMHWw2h8xOHBQfFJBJyztbvzwUrMOYdaQT7zgyCkbApM6vwsydtwDI2EvAhUIOXEMG7ZDluGcSgLCit2m2IkFSkycq3zKDuD1dEsBZglRSYq3jaWkWrOLFBARVERciE+M0rSjCYl5V1HpGVuVLkzIctufUpgGghgnuzv3DMmG5qyEXSrEgXhvUdLDQNFiVmtfqLMtbRUBKl1EWHqnwTsrfqimbxlTCM6aCFdhX7V46dCuFKyFiqJOHJwcIBpWls9JzMkliViURNr7nnPu5Oy1dDYbDaMcbAMFbJlToZZozrnjAsdOZssXFZzZbryHJaLmxhHzp87h3rh/NmzxGHAiyM4b3W11JyMyblJb9qK3s7RKVIcvFmN1K2ya1UeT4vjtfYzQGbhbGZOaW+ZkA0NDQ2XB5VsXBJ7c82Djr43u6SDMi6y7ZYLkTo2CxYsYpNjJY9jyagD7yqR6Ahdz2pttR4ODg5nKa+JDHVlgs8x8g5OtttLLB1m1eYdbreMabAFmph0uXNCxqRZS2wOqkztX0YaAmhKpLK4CaEsiqwTceKmY2u/TgoLCyJw2e9d3+ELwWoOQ1M6WO2tC1Hny7zHUK+pZQ6E2oIko7OcubPrxmQBTCGYhLlFrNqPrQ3nmt4zmbwFBsYx0IWIqpCSst3EQh72eN+XZ56t1qXOMnvLuV91CFeJOO+F1bqnX3XsrfemxeUUQZoTcel0vcgzbmhoaGi4NJy9/nrucuVd8eJBhTSYAw+BmDPjELnyijVd59nbX3FwcH4KMtlut2y2W/b391mFMDmYLEs+M+ZxcshVJx6wYwcmJ6EPpGgOwT509Kc7NpsNBwcHprDjHPvrPfbXexweHnL27FnEwWYbsdrDHZ33bEoWf0qJzXZDl6vCUA1iLgG7Ms877BMgEUsNJPNDMGU6VOnRnDN935f1eCYVebmUEsHPAVj1Pr33U1bnZPdLnwzDdgqAXs4LanBxDegdhoHNZsOVV1wxlXOB2adSycKlrG0Igf29WQa2ko31HpYyeRbwNU5O0GX2xlJKv16zEpnLrIianQrs3PM073FizszgUYWx3JM5PRey/jG2OKOGhoaGywSrE1gz9bCkEjUJ9UpKIrWU2CxpWte3RzP0qv2psukwBy1Pa/7FuhyqLQzkPBrhqEIOc33Bnex+LQGrR+YLS9JvSS4uff3LINclGdj3/Y5/376zAKMlloHTS0nWOn9ZyrFWGfij9R+r7a6BPzVYZxiGaR1c/71UJ6jziNoPdZ/1es3h4SEiwunTpzl9+jSHh4dTn850iRBTRhlLm30hH0twNcYhrFZ9Kc+m5f61JEKZnyGliKJ45wsBuZCpLZmP28GUocR5xHkQC2AWH3CSwWFl+zKI1HkFVbYS5z0htNIqF0IjIS+Ca6+9lnVnxc3VidXxi4lYnUR5noh7drMe6/Y6eCyzIcGy4ko4BpozWWybKxN1AEQKGZUtwt+J1XtIZQKrllEAUqL/gUJYhUXE4NJpufz3sk2V9KIuILyRX1EzXiy6Iqki3uHU43wGL2Qxh6WCFbhPI6RxGiykRC644EuhXmEYx5JaXSRKncnDZDK+86zdHg4jISET44DzrvwupDTLn4QQOHVq3xYbwQayKnNToxbroFoH25wzB5sNavpnMxHMTNJut1titkXE9ddfj3jhsAxM3nviMMJCaseJI27nTBkUVqt+MhbqxAarEHAlxd05x3az4eDwkOyEzndT6ntWI4OrsarydmNuzsmGhoaGy4GULJfPuXmSH0K/mGjPsmeCEPwi2l8EL0IoNmMiJZ0zibeUQIWcQHzGOZssxxjZXj9AmYwPw4giiJ+j/0MIIJQsfp0WJPXHHG6zxPsy0Khuqw7UcZzrDocu4H2p/WRho8Q4YhWhTapUxNN1jnUf8MXu5pzxwdPlbor0rLUWpzoXzmpW5lwlzm1+Id5NcqwT1AJwxC+CtWSuZVlraeWykBTNOC94J1aHwYGSUIWYBgs2AlKuC0HH3t6ZnewHX9QYkBoBGkvmx7L2pSsZMhmRkq1IrXs9IOhOlKhJ8ljt6Rgtk6T2garJxNcFUsrJFkA54XKygDHmBWUaZ+n47bbVi2poaGi4HNgcbNArLNB0c/7AglWAK85cYc40Fzh//Vm8Fzbbnr4PuEIqgo3Rh+cP6PoeH+b1pCr4rmNvUSdyGVyyJK/M4ViUikoQMxTlnRDY39tju9lw7TvfyZVXXknXdVxx5jSbYUNKcXLExTigmkrbcrFjiqqtR1OOxDhMJFqtuziOiYODsdRTNqdhSolz58/T9z2r1YpTp05NPoFK+lXHayX4NptDQgg7MnA147/6O9brNX3fs91uEc3Ter3KwG23W8tILY5QVQso3t/f5/rrrpvKwdS+B3ZIxWozr7vuOrbjsENU1rX/VJOyYOlkXipDrVYrttst586dOyavt5SLW5LLldismSe1f8ZhJCclpkTwHpzHh57VyuTlNCtxHKd5WUNDQ0PDzYdz4L1MCSxmI+ZAU7PBxV5lU/pTAa8lW82ZP70m0iBC0mxqAmmW+r6QEtHSByDeM2azGb3vbV0PBOfYjiNDsVld35sddzLZnBrUUjP2qr2r25f2eJmtuV6vd9pSbdPh4eG0Xz2+zg2WfvTqK3fOzX6DYquW51utVjuEYrWX1TZvNhuAHcn4ifdYKCRWmdlqk4dhmLZdd911U/BOlWWt9xzjaOXOkiuEYmS9TqaEGKPJuauSkhGwzgViTJw9e77UaCx9lCj3eEiikMDO4UPA58z2/HnGlAhdx17fozmzLZL5iCN0plI4qpWpSYXwpiaNObESc6vVrfUncIdDIyEvgmHYImm0CPUiTyo1ql8cKpbNqFl3CqnDHPlf//iOZkTWwexoPaOj0qf1WKemXe3Q4kTEpNEK5vMLvtShOgnLmpA7kqzMpGQl5kSE7bhIvy6Ss+KdOV+7Mhh2M9Fqki+AltRp53FepiiVXCJVnHeTlJv3AQ1qEq9lcRO3Y4lYMedjTcO2gUimaw3DlvPnz6OYBKstnGoNByNDl5Iu9uwA5408LYMGYoRpyomcsknZZkjYvXjx5qgVq+XoxOG8FRg2J6OF2dRslpwW+tfeGSnsS/ZjyTatGSf2/OaaGCEExpplO/W9Sc6ERkI2NDQ0XBYsIxqrs6vaiaWzCXY5tOW+SyfjZLMzoBYspNQMQwDl4PCQmGzuYIRXRJ1DnDKMc1aF8zWQ6PiYv4zAPGrDl5ma9fsM4OeIRCiSc9kyIb24SQp+ef6TMhinLM15Y7nOxft7OU+JKZFHBczm7fs1YwyMcSxkIVSFV1Gr/ZQc+JzxC9K1OhvrYsp5j1tEns4ZpFWGPhdHbZVKtTlLzYr1DvAKJEQsstHqQSZEAqveHKzxMJJzIiWTa7X5ic0DrEak/bvGOWUsmGycZHIKCSkm8ZeizT1MJ/fifdnQ0NDQcHGsVj2n99ecOXMF//TP10xBRZojvlsRvOMwjSiOdH5kf303xFng6Xa7Zf/UKUIIDMOW4fw4r8e6bnLaVafbdrudHHowO0HHcWSz2SA626ZqgyqRdfr0aVSVd77znXjvufLKK0ptSfMTLB1+wzCwWq3oum4OUnJCJ/2UETEMI5vNlmE4y/7eqWn/GC0oyntzuNUsyayLrIjOgoNr7WRVq5k1fb9wPNbaifU+NpvNlOHgZZ43VFJ0Kam6DNy2TMuAuiNlZop9r30F5su4293uxsHmcHLELtUIqvNyqs/oZinWpYxcbY/1y1wTcxnwVVHvYXkfNRjJe4/zHh0GW+ereTi6vqcLAbJJAgu7AekNDQ0NDTcfy2DcJeF1VEnIh0CMI2McS8kTs+POe8QV9UA/j+s1JmZJmi0DjHbGcyc4tYShSmbmQm6OKZI0kciQwWM2wYeZHKuftUb0Uq2nfrfMkqzZ/XP5s9ke122q83HDMEx9U8nFGoRUycVaK1lVp/qM1dbVoKMaMFvt7lJmtbZzeZ3l70ubC0ykZJ3/nD9/fsqKrOqTywzRcRxIaYtzQr+qgUAmie5DYOWDratztKAvTM3h7NmzdF1f5FtD6cdUSszsKlim0s5lvc/aBueLIqQmUo4kEkiR4C1ywN3KysR13fqWfOXv0Ggk5MWg9uJOBCSVrxLzE5UXzqaaJ7N+FyIhpwy5BTnmLJ/YSK6FkzMvBiBfBowYLYMCzLmmWjWny8T4AiTkUXJzigws7RcniBrZRok8mJ2BUhx8MOTR0ty9kXHTIJPmAcfjbdLtXZFHKwVo1aJOEKEL3ZT5573Js2VVOh/IU7q5pVKbJFpXCEmhiJYyxoHDQ8X7ueDsFDGRZoef9elMsGbNpPpcvUfUslqwx2qRNaX4LFDIR5n6GBx4jvSn1ZnCl1pPapmeLlSdHCM+k2ashlYZ/MKcARJCQKHI/pgxqRKu1Vg1NDQ0NNw8ZJ0DcY6SessIdym1B5f7VQJJZa57UO25cyUqrjCQNTCnzha88/hgUq/CQNJMKg7AOlmf7dzuoqq2YenAW84vlpl69Tiviqv22rmSrVdlWy070Iuf7svsjxF0IqVOcRzRac6yuO4015gjRI/26bTH1M7MsE247AjB0/ed2eVhy7nz5yZyj1IvWYDs5meyE7C1kHuZFqEixClIq7bHmGBzqFbFAkFKgJFMtt1IWuujhFAzHSPOZVK2QKgxRUDLQsmkey24DMZxKPWukk05nOBdKIFOGcrCDYzczmWeWd8sd6TfGhoaGhpuGkJw/Ms73sGwHTg8f569/T3EOeJo2e0pDjiB/b015w/Ocf7cObquY7XqGceR66+7Dt8Vp5VzrNYrurJOyzExpllytdrfZX2nmlm42Wy44vQVu/sCiEw1kUSEu1x5JZvtlne84x24sHveXYWjuY51nTeok8l52vemcVD9A+Z3KPWKyrZTp9fTOYZhnOx3DZTuXEcXrEazorz7+usn6beaHVGVC2pGY71fEbN3td3TevZIxke9nyoDe9I8ouu6Sd68ysn1fc/e3h7jOO7Uf6zOVOfcJJ9ar1XJUmBHjrXeR82orI7Y+kwuFPS13KZSZfqZ/DuuOoGjvTvmR3L4JtPW0NDQcFlQazseJb52ylwVZTmnYrZbLWtdnCNISZYBIw7LGjGXbUt58LlkSzjRjx9jtGx+Z1xB1IyrJU+c+dZR8F2gL3Z/SdAtpctru+dsTtmxa8sgmWWWZLWvdi6/Q6Qtz7GsY11t3hKVIFxmNi6VBWsA0JL0hZlIXQZZLX3lS5tbj13KtIYQ2Nuz0iXXX3/WuJg8Tsd47xiG7aQaNF1bIWdTeBqGEec6VqvCMyRFvaAmsUTOpoblO78zJ6h9XRUL6/mnAKRgShnOOYJ4gppM/8Hm0K6Roe86k4ptJSEviMZmXATeeUjRpDeLk9EK1ctEdNW6gxciGyt2nHFlMEBkKii/E+lQ9hEpmXfAGKMRVX2PC0bQjblEHihFSm0m2+QCofTLKI6dAaO2T900WDJlF3Rzhl/OlrLuTP41s6uTrSKkEnGhpe21Tta0oAgyOfrEiw3USYkaEbUFU/AeCR7InD84LIuTjqrr3PfzIK2aGceBOnbWwawugqYMibqQcw71dp81C0JRHIo6k6VziNV4LA5BVZ36oLqFp2yTxbOrRWhD15UU7VpfE/BWmLgaP81zerwrC766kFpmQVbJO1XdkalpaGhoaLjp8K5DxJcowTlLzyJR7NPsTCGqiqqojcegNcs+zQShToSSL3Z8UbhehfV6jQ8dq5U5/w4ODtmOW5Im3OimRUAqRKRzM+G3JEjBHZtvzJmKu0XsUUUR4pjIxcDHmBjHIllWCD6pQTpQAngsEyKlRE4RLURZjaxc4qSpT7WXWgnASpqijHEkuHkamnM6vgjKVRZXSmxQQvGIU5wEcwiviqQNYvKqKRtxmJlSKefplz1Amxcsa03UviwEbSpqBVnpOldqY/rpXDENpSi9p+sC6/VekaCzrJTz55Vh3JByrY8R8H1nAWM5E8t8wjtHKgtWEZP3BZv/NDQ0NDTcfHiUzeF5rrzLGU6dWnPtte80aVXv8V2RBVMFTZw+fZphGCwDMu+TChEF2Jp9sZ7MxZZVOVarlzzLjFVHW5UZTynZmD+MkwQYCmkc6daeUOXahxEBTp06xXVn303XeXKOHBycm+RVVU0JqMrCWha+Y7W/z7AdS+CQOdqMwPSMYy5ZoJ6+XxeVITdlTSyl06qsWm03zJJp1cF4cHAwOXlr9uXe3h4hBM6dO8dms6Hzc9BQdUpW5+jSYVwdm6HU6F4GXcHs1Kzr+eqYrX1dnbJ1znP+/Plp/b90jC7J3GVdrfp9veYyc3LZznqNul6fsmVyZjuOaHVO1oBhhZwSSSCNAxRbv6zF1dDQ0NBw0+GsulkZp+NCjrsq0ljiStZEHCy7v9qu5bq5EmYVS9tR7fmSBFwSbRVZM8kylUAKCVnqUMZsijg+mI9bFxlDywz9Om9YtmFpzyo5WG1PbcM0z1gcG8KcwVgDput3lXys9qj6GSoxuZRthSphOhOfOedJ8rWinmNZp7meb/mztMObzYbDw0P29/dZr9dcccUV7O3tFa4Czp07V64j7O3tE4Jnuz006dghomoy8YJjO0TGMZqMPQ7nA875qR9yFpM5VI9zvUmlo4yxEM8qdP16p++dFxCParJMyuBwnSdLZkgjY4xsx62VZEFwnbcSdXFzs97rOzMaCXlRKDlF4jgiqqhzUKIBXEmLrIRS5YaOkpFHMwFEhFzkttxiQDk66V5KxIkI/XplWYXOW4aCzgXYRa26UM2kzDnjL5AKeXQAWA5uE1ylNJkyB1zRxa5t812YiNJl5OfyGksCMLha4xFc6JAakVmiEI10m+VcHVZANuU5cqMOtKBzrSqti5cahQHs1I0MJQFxbhtkUi4id1LqVhYZtZzz5GSWQk7a8919rsvaHyc5gqcBXSCWorhVlgYUzRGNGVcMQio1uypxaotbw5TSnzNHCww3NDQ0NNw0LOVblnbLbI3g/fHi83W/uS7Uru2eI+v9lG1Qs/OMiDM576VMik5yrYacM14cVep7GW0Jc7DR0ml2tH1H7ytls7eWweknJ56qyZ1mMuLm42yyvrhukSytxOtJuNRMSCXjvZQFVOLw8IAxRjbDdqr/7JxYDeoqrxakZHN6uhAIXUcozl0pZN4YIylGnHg6vy7s425bxzHiiyqCyFzLMiULDDoqU9/1gb6oFCjKOIwM45ZaL1Qko5qIcUvWkThGNpsDIyFTKvtRZNjm96QqXoxlzlH7S+RCuhoNDQ0NDTcW58+ds0DVcWB/b493pMh4MHL69GmowT7iiMNALjZrItlC4O53v7s5G0smxeZwYzbKe3y32skkqON7lROrAb9ga7k4jNN+1dmoqpw7d24nCyLGyLAd2FuvEcdEFM4SazpF6leSExwu9AhzNoTIiNWizjjx5qwVT9dZduPhtioPVPUFXwjN6iT0pBSnmsfLLM4loVgzDJdyb+M4oskhMmdY1r6ojs8pELfaw+0wrfWXpVTqObuuY39/f8qArDjqLF6v1zsZGxdyLi+DsWtWB8yZNfVZ1XMt52JLcjLnzDgMRJ2zQet5x2jS7TFG0ljLxexmnDQ0NDQ03DTEGPHCjt1YjvfLNanoLCdet8EssVpt8hzEuxvUu1zn1uvV8yhMGZDq5iBgnBGQQ46gEIJHRRhKRr+U+UO1n8u6xMs16dHs++o/rtn7wNSe2S/hdwJqlsdX+7esCVnPWzFxDYt7X2ZdTln/bpY0rQFDtc07gUbl3mBWbqq2t8rDLq+3lH6Haps9zu0f8cGbHz+mTM6Qs3EjkkrguHg0l9qfCiIdvqu+mLTTP5XcXfbzRGqLEnNEh5GYE6Na2T6LXbd5Xb8KhOAYSkm7huNoJOQFMEUCDiN5O7AZLSrROw/bYZLltInkSIqZrLuD3dKJtST6RIz8MuLL4VOe/ghBSEXGI6Y4RTc679nvz5BUidutZcsVqTFfsywyFmFRCu4Gv8i+ONKu5QT6aDtVFZLOGX4pERH6MpCOKRd5FSPmnEusKLJ0qiQgIoxZSWR8zoSsOzUSvFi2wZgy22EAccQSxVEFybI4DjeHU2SphI5tTEQt0maqBDFZmXHYkifpOJmiJIdxJGTF58yQlVCukQWiCBqKvKw32Vi7sOIAb0muVFW9IY3H+vAoibscqHM+NGlZETM6bta/duKQbAS3V3PEaimKDCWTUzNZlb31umTGwpi3HA5zOxoaGhoabjzq+Hmw3U6/LwOIbDIt9GNxrG22HG4HZolUSDHt1AmoNtXsdyKngJbFCzkjxe7ZZQbkcINm5fBwQ8yRYRxIGienWd91BFVcsqzFFCMpV6fbLCl6lIhcRlDWrIphjIzFJqJK8BbFmVImR8W5TBcUXzIvATQrKcXyk+weKNGgdWqhZiAdQkxqGYQpkSf7mPFQJudSaiYUErI3Ai4ebmaJl5zp1z1JbPFAZsoOTOJQwaIMy39JHHE0Z944jBwcHpJiwoeOU6WWhPXRXNN6GLbWR8HvBmtpDWqqtTWKvH1KuNDhC1k5amIbI3G7MSe093h/QJXGG0cjQu3dcEQygYwkqweZi7O275WU4WCzNYIXu1cR4bBIzDQ739DQ0HDTUMfPf37bW9lbr3jzm9/M/v4+5w8PbAweO84dnEO1ZDPmjDpHCB0UPaGDg0MONhtCF/DBWzDPWGyiE/q9PQ42G/q+Y7PdkmKcahsBOzKnANsSR5pKgE8XOtbr1RSACsUuq1URHuMWFxx919P3KzabQ975zmsREc6cOVNkSrfFDgUONtcBQtcFxtGI1BgTXVixv78PCoebjQXjeMeYD6e5BMxr2UqSqmaGIU022svs0Dw83DAM20nVYW9vzfnz56d5yXY7sLfqGMdITBHvTFHAsjn3rMbmMDCOkequ2Gw26CI7ss5tYrTgaw4PJ0m0s2fPTnUqxZm9NueoMBayT1FSnGtAr1YrxDk6NbWJ6hTdbrc79rZKr22HASfVuWq1u7VkbkCVaavEpL1zY0xoHqkqEpvNhjQmckpTtNk4NBvf0NDQcHNQx8/rzp1j3e9KXDtVXMqIxJlAQxFnNXqTph3SyT5n6dB67t53kz9cVXExsi3rzmEc7LuSCBRTZMyRmDPBm51MJWlIBba1drGukBQZUmQ/rPDOMcZY/AzOyr2NsdhfC1zquo6kStf1k22MWRliIuYN4brrp9rGZluN1NzfX1sQreqUyLK0V84JIaadLMtcAo76vifmTNpsiDFxeHhISrEEMe1mN3oPXVEySMXHH2MkFd+/lSiJE4m4Xu+xWq3YbAfOFz/AEBPXnzvPu667nv39vUn1aRhGxmTJStsxcrjdklJku7XsQ+t7Ix+HTYJSMsYj+KR4r8Sosw8n21p/zCMhOKoE5JLEFhFiCcCqcxLVVEjIkTFHsibUm6pjyjbn6VzHqZTZxpGDMk9odv44RFuvnIh//Md/5L73ve9t3YyGhgviH/7hH7jPfe5zWzejoaGh4Q6HZuMb7ghodr6hoaHhpqHZ+YbbO5qNb2hoaLhpaDa+4Y6AZuePo5GQF0DOmWuuuYYzZ84cyyZsaLgtoaqcPXuWe9/73jvp8g0NDQ0Nl4Zm4xtuz2h2vqGhoeHmodn5htsrmo1vaGhouHloNr7h9oxm5y+MRkI2NDQ0NDQ0NDQ0NDQ0NDQ0NDQ0NDQ0NDQ0NDRcVjRKtqGhoaGhoaGhoaGhoaGhoaGhoaGhoaGhoaGh4bKikZANDQ0NDQ0NDQ0NDQ0NDQ0NDQ0NDQ0NDQ0NDQ2XFY2EbGhoaGhoaGhoaGhoaGhoaGhoaGhoaGhoaGhouKxoJGRDQ0NDQ0NDQ0NDQ0NDQ0NDQ0NDQ0NDQ0NDQ8NlRSMhGxoaGhoaGhoaGhoaGhoaGhoaGhoaGhoaGhoaLisaCdnQ0NDQ0NDQ0NDQ0NDQ0NDQ0NDQ0NDQ0NDQ0HBZ0UjIhoaGhoaGhoaGhoaGhoaGhoaGhoaGhoaGhoaGy4pGQjY0NDQ0NDQ0NDQ0NDQ0NDQ0NDQ0NDQ0NDQ0NFxWNBKyoaGhoaGhoaGhoaGhoaGhoaGhoaGhoaGhoaHhsqKRkLcwvud7QAT+5V9u65bcdjh3Dt7rveCFL7ytW3Iyvvqr4fTp27oVtzx+53fsPt/xjtu6JQ0NDQ13fLz5zWbff+RHbuuW3Pb4+q+HT/u027oVd2zc//7w2Z99W7fi1sF3fid87Mfe1q1oaGhouGE0Oz+j2fmbj2bnGxoaGm4/aDZ+RrPxNx/Nxl8a7pQk5M/+rA0mIvCqVx3/XhXue1/7/s74ktTBtP54D+/3fvAFXwB//ue3fnue9Sw4cwa+7MvmbZWcdQ7+4R+OH3P99bC3Z/t8wzfcak291fAHf7D7jLoO3v/94bGPhTe96Za55md+JjzoQfADP3DLnL+hoaGh4T0PV18NP/VT8F3fdVu3pOGOgm/5FviLv4D//J9v65Y0NDQ0NFwMzc433Fg0O9/Q0NBwx0Cz8Q03FjfHxt8pSciK9Rpe9KLj2//wD+Ef/xFWq1u/TbcmvvzL4ed/Hn76p+Exj4FXvAI+7uNuXSJyHI2EfMITjAw9itUKfvEXj2//tV+75dt2e8A3fZM9o+c/Hx71KPjlX4aHPxyuueaWud7XfR0873lw9uwtc/6GhoaGhvcsPOtZ8IAHwCd/8m3dkoY7Cu51L/i8z2uRxw0NDQ13BDQ733Bj0ex8Q0NDwx0DzcY33FjcHBt/pyYhH/lIePGLIcbd7S96EXzUR1nH3ZnxkR8JX/mV8LjHwQ/+IPzCL8B2C8997q3Xhpe+1OQ/v+RLTv7+kY88mYR80YuMlLuz41/9K3tGj388PPvZ9kd87bXwghfcMtd79KPtHXjxi2+Z8zc0NDQ0vOdgHE1q/UI2vqHhQviSLzG1kltK/aGhoaGh4eaj2fmGm4pm5xsaGhpu32g2vuGm4qba+Ds1CfnlXw7vfCf81/86bxsG+NVftczAk3D+PHzrt5pc62oFH/RBRgyp7u5XZUJ/4zfgQz/U9v2QD7G6exfDW95ispgf+qHwtrfZtne/21Ja63Uf9CD4oR+CnO17VdMY/rzPO36+zQauvNKy3G4In/Ip9nn11fO2F7/YCNm9PbjHPYwQ+6d/mr9/6lNNMvXlL9891xOfCH1vKbg3hN/4DWv3Ax948vePeYxlZv7VX83b3vpWy9q80DN6+9vha78W3vu9Ldv1wz/8OGm31Pd+/vPt+quVZRm+9rU33GawNt3znvBJn2Q1LcH65Wu+xq5bn/dP//R8zLlzcOoUfPM3Hz/fP/6jZYJeTAr1pGf0Ez9h11qt4N73hic9yd6Xisc9zvrhDW/YPddnfAbc9a67WZXv9V7w0IfCb/7mRTqgoaHhPQ5VJvtv/9Zq5d7lLmZbHv94ODjY3TdGeNrT5rH1/vc3CY/tdne/qo3/qlfBx3yMjVXv//7wcz9349tX7e6LXwwPeYjZrY//eHj96+375z3PbOd6bWP3m998/BwXs3kw1wn+p3+Cz/98+/c97wnf9m2Q0g23UXW2j8uM/l/4hfm6d7ubyZMvpcif+lST5T6pZu8Tn2jPYrOx32uf/t7vwUd8hN3vQx5ysoLAm94EX/zFds39fVND+O3fnr9/wxusTY997O5xr3qV2azv+I4bvt9XvcpqXj/iEbvbq+T4r/wKfP/3w33uY+381E+19+sobunnchSf9Ek2B/uf/xOuusr65kEPsvkhmGLGx36steeDPgh+//ePn+PP/gw+67PgiiusLZ/6qfDqV+/uU8sD/I//Af/n/2ntPXXK5PEvpT7zC14AIcC3f/u87U/+xOTVr7zS2n3VVXb+ile+0q75679+/HwvepF998d/bL/XPn3Tm2zOcOqUzTO+7/uOz3svNj8+PIQHP9h+Dg/n4669Ft7nfeATPmH3OdV3ps1HGhpuPTQ7b2h2vtn5ZuebnW9ouLOh2XhDs/HNxjcbfzu28XonxM/8jCqovva1qp/wCapf9VXzd7/xG6rOqf7TP6ne736qj3rU/F3Oqp/yKaoiqk94gupznqP6OZ9j5/qWb9m9Bqh++Iervs/7qD7taarPfKbq+7+/6v6+6r/8y7zfU59q+77jHfb73/6t6vu9n+pHfMS87fx51Yc+VPXud1f9ru9S/cmfVH3sY60d3/zN87m++7tVu071ne/cbcuv/Ipd47/9N/v96qvt92c8Y3e/v/gL2/5lX7bbTw9/uOqP/Zjqd36n6t6e6v3vr/qud9k+w6D6sIdZX11/vW37nd+x4572tBt6CoYHPUj1C7/w+PbaL29/u+p97qP6H/7D/N0zn6l65ZWqm43t86Qnzd8dHKh+8AdbPzz5yao//uOq/+pf2X7PfOa8X+2Dhz3M2vBDP6T6wz+seo972PWGYd73cY9TPXVq/v01r1G9611VP+3T7Hqqqm99qx133/uqft/3qT73uaqf+7l2jR/7sfnYr/gK1fd+b9UYd+/3h3/Ynudb3mK/v/KVduyLX7y732/+pm3/zu/c7adHPEL12c9W/YZvUPXenlm9h3e9y9r28IfP1/3Jn7Tjfv7nj/f9E55g/dDQ0NCwRB1vHvYwG7d/4idsvADVf/fvdvd93ONs+xd9ker/8/+YzQLVz//83f3udz/VD/ogGxe/67vMrn7kR9p4+L/+141rH5itvO99VX/wB+3nyivNpj7nOaoPeYjq//1/q/77f6/a96qf/Mm7x1+Kzav3tl6rfsiHqH7N19h4/+hH27E/8RPzfkdtbYzWD6uV6ktfOu/39Kfb/X7pl9rx3/u9NgYvr/vGN9q5nv3s3TZvt2aPvuZrdvv0Az9Q9S53sXv40R9V/bAPs7nN7/3evN9b32r9fuaMzR9+9Edt3uKc6q/92rzfM55h1/7N37Tfz51TfeADrT83mxt+JvXerrtud3u1cQ97mOpHfZT19/d8j82RPuZjdve93M/lUnDVVar3vre9S9/+7dbvD3mI2ddf+iXVe93L2vvMZ6q+7/vae1bnQKr27p46Nc8Bf/AHVR/wAHv2r3718Xt72MNsfvnsZ6t+67fadb7kS3bbdHRO+rznWd9+93fP217+cnu3P/7j7V3/sR+zv4m+V/2TP7F9crb7evSjj9/3Ix9pz/Zon37AB9hc+TnPUf3sz7Y2L+dllzo/fvWr7d6e/OR525d9mT3Pv/7r4+150INObmdDQ8Mtg2bn53trdr7Z+Wbn5/2anW9ouOOj2fj53pqNbza+2fh5v9uTjb/Tk5DPeY790VYy6Yu/eB7Mjr4kv/EbdtzTn757vi/6IntYf/u38zawF2W5rZJ8y4FnSUK+4Q32h/Lwh6tee+28z9OeZn8Af/M3u9f9zu+0F+Dv/95+/+u/tnM997m7+33u59ofeM72ex1Mv/d77bpvfavqH/yB/eGA6kteYgTWe72X6od+qOrh4Xyul77U9vmP/3He9vrX270+4Qk2iLzv+6p+9EerjuOxrt/BOFq/feu3Hv9u2S/f9m328lY8/OGqj3+8/fsoCfnMZ9q2X/iFedsw2B/x6dPzwFL74O533+3rSvL91m/N25Yk5KtepXrFFfZeLAfsr/1aG6CWBLOq/UFeeeX8fv3u79r5X/ay3f0e+lAbKCvqoP7TP219cM01qr/92/YcRezdffvbrd8//dNVU5qPfc5z5mMr6nWf/nTVN73J+uLoBKLi//q/bN+3ve3k7xsaGt4zUcfl5SRZVfULvsDG0oo//3Pb7wlP2N3v277Ntr/iFfO2+91vN0hG1ca21epk23BDADvu6qvnbc97nm2/1712J5ZPeYptr/veGJtXF2Xf932716+T8IrlwmUcbWGyt2fjccWb32x2/Pu/f/dcr3+9agi72z/+41U/9mN39/u1X7NrvPKV87bapy95ybztuuvMRj3sYfO2b/kW2++///d529mzNsG+//1nu5KS6id+oi1y/uVfzOaGYHboYvjKr9x9NyqqjfvgD7bFV8WznmXbX/96+/2WeC6XgquusnO96EXztr/6K9vm3O7io9rXn/mZedvnf77Z57/7u3nbNdfYfPNf/+t5W52PPuIR8xxN1Sb23qu++93ztuWc9FnPsrnAMtgrZ1tgfMZn7J7r4MCe6ad92rztKU+xv5Xl+d/+dnuuT33qvK326Td+4+51HvUou78aLHdj5sdPeYr14X/7bxZodTRIbIlP/3R7RxoaGm4dNDtvaHa+2flm55udb2i4s6HZeEOz8c3GNxt/+7Xxd3oSsj6oX/kVG9T29lT/03+y/Y6SkE98or1Iy8FPVfWP//g4uQjGQh/FFVfsssbVELzylfbH+QmfcDzK4KEPVf3Mz7QXZPnz+79/nHD72I+1Aabine+0rMAlu14H06M/V1xhGYGqqn/0RxeOOHjwg48PAj/wA7b/x3yM/TH87/99/LijeNvbTn7Rl/3yjneo/umf2r9f85o5guS//lfb7ygJ+emfbgZqScqpqv7iL+6Si7UPvv7rd/e79lrb/qxnzdsqCfmKV9jnF3zB7kCbs0WpPPGJx59Rfdde9SrbNyUjmr/yK+fjX/9626e+d6rzoH705573VP25n7N9XvQi2/Zf/svuPWy39iyPRhx83dfZQPMRH2GRORciGZ/7XDvvpTzDhoaG9xzUcfk1r9nd/qM/atur7aqBDH/5l7v7/fM/2/blguR+97OotKN46ENtrL0xOMnu1kXU0k6ozhOtl7/cfr8xNq9O5t7+9t39vumbLJKxotqZ7/9+m8ieOrW7wFC1vhMx23bUfnzwB9uEtqKOzctJ4KMfbZFwy4nq/e5ndma5TVX1O77Djv/nf7bfP/ADj0cqqs72vC4eVO2ap05ZEJDIbuTcDeGzPms3iKii2rgf/uHd7dXe10jNW+K5XAquusqCdY724V3uYtGZS7z73Xbd2icxWhTo0ehHVbPDzs1/K3WO8Cu/srtfXZD+xV/M2+qc9Id+6Ib77gUvOP4uPeEJNjerc6M3vMH2/amfmo9/9rNt2xvfOG+rfXo0svFlL7Ptv/iL9vuNmR9vtxbN+4AH2JzmqquO93PFl36p7dPQ0HDroNl5Q7Pzzc4v0ex8s/MNDXcGNBtvaDa+2fglmo2/fdn4O3VNSDDN3kc8wrRzf+3XTMP2i77o5H3f8hbTzz1zZnf7B3/w/P0S7/d+x89x17vCu951fPvnfI6d93d/1zSHl3jjG62W5D3vuftTNXbf/vZ538c+1vSCa1te/GIrJvtVX3X8mk98otXDfPnL4XWvs/P8u3+3ey8f9EHHj3vwg4/f67d/u9VefM1rTO/6IQ85ftyFoHrD3z/sYXbNF73IiuLe615zbcSjeMtb4AM+wOpULnGpz+iud7XPo89os4FHPcra8iu/YhrgFe94h9VgfP7zjz+jxz/e9qnPyDn4iq+wWphVd/2FLzT97C/+4uP38x//oz2jV7zC9KyvuWZ+lhd6Rn1vOuxH7/VHfsS0wv/8z+HHf9zqP56E+jxETv6+oaHhPRsXGzff8hYb6x70oN397nUvq3dwc2zljW3blVfa533ve/L2ZZvh0m3eem1j/KW0+Qd+wMb8X/1Vq0+wxBvfaGPuB3zAcfvxhjfs2vcv/VLT53/hC+33666Dl77UbMrR8fpBDzq+7QM/0D5r/Yy3vOXk+z3JXj7wgVZH5LWvtRrE/+E/HD/uQrghG38p7xLcMs/lYrjPfY734ZVXXvxdesc7zL5fqG9z3q0RApc+F/nDP7TaHd/xHbu1I8DeJbA60EffpZ/6Kavhct11ts+DH2w1sOu7BPbvj/u443+3ztmcYomT3qVLnR/3vdXLvvpqOHsWfuZnLjzfUG1zkYaG2wLNzjc73+z87rZlm5ud373f+n1Fs/MNDbdvNBvfbHyz8bvblm1uNn73fuv3Fbe0jQ83bvc7Jh7zGPg3/wbe+lYrPHqXu1ye83p/8vaT/ogf/WgrSvrCF8LXfd3udznDp33aTBAeRX2BwArgPvnJdp7v+i4rkPvRH33yH9AHfMDxArM3FW960/xHUwsHXwx3u5u9kJcyoDzmMfDc59ofxZd+6XGS8abiUp/RagWPfKQVVf2d37FCwRU52+dXfqUNGCfhoQ+d//3Yx8IznmGG7Mu/3MjVz/7sefBb4sM+7PI9oz/7s9kIvv71du2TUJ/HPe5xea7b0NBw58KljpuXOuG4Mbbypp7rcl7jhs53Ej7jM8xu/PAP28JlvZ6/y9n66WUvO/mcp0/P/77rXc1WvPCFFqDyq79qk9Gv/Mqbdg83Fr/3e/Z5zTXwznfaQvRiuPvdb9jG35bP5aae63K3+cac80M+xIKefv7nba74gAfM39W5yDOeAR/xESefb/k+Pfax8M3fDP/4j/YevfrV8Jzn3NQ7uHH43d+1z83G5o7L+1jiXe9qc5GGhtsCzc43O9/s/HE0O3/paHa+oeH2i2bjm41vNv44mo2/dNySNv5OnwkJ8AVfYKTWq19tZNeFcL/72R/s2bO72//qr+bvbyqe8Qz42q+Fr/96I6WWeOAD4dw5I6NO+lmy7ne7m2XsvfCFxlb/j/9xchbkxVDv5a//+vh3f/3Xu/eaM3z1V1sG53d9F/ziL1pW6cUQgt3b1VdffN/HPAb++Z/hb/7m4s/ojW+c/4Arbu4zErE+/dRPtYzFP/iD+bt73tPI0ZQu/IyWWYcf+qGWUfnCF8J//+/w939/eZ/RMFifLu/1/HnLynzIQywD9od/2KJgTsLVV9tAcTQCpaGhoeFScL/72RhcA1Mq3vY2m3TdHFt5S+HG2Lwbi4/7OAs6+aM/MvsR4/zdAx9ok9MHPOBk2/FxH7d7rsc+1uzga19rNuRhD7PJ7FH87d8en/T+zd/Y5/3vb5/3u9/J93uSvfzJn7Ss/O//frMxR4OlLoQHP9gmnzVq78bilnwutxTueU/Y379w3zp3PALzUnGPe8Dv/z50nc1Hrrlm/u6BD7TPK6648Fyk6+b9v+zLbMH0i79o71LXWZDXUeRsgWZLnPQuXer8+H/+T/i+77M5ycMeBk94woXfj6uvniMwGxoabj9odn4Xzc43O1/R7Hyz8w0Nd3Q0G7+LZuObja9oNv6Wt/HvESTk6dOWZfc932OyqBfCIx9pRNNRdvnHfsxIqs/6rJveBhGT8/yiL7Jsuv/8n+fvvuRL4I//eGabl3j3u3cHQTBC6y//0tJ7vbeX88bioz/aiLOf/Elj1Ste9jJLK3/Uo+ZtP/qjNiA///nwtKfBJ3wC/Nt/C//yLxe/zsd/PPx//9/F93vgA+GZz7RU+I/5mAvv98hHWkbrL//yvC1GePaz7TlfddXFr3Uh9L2Rqw9/uL0nr3mNbffeMllf8hL4X//r+HHveMfxbV/1VRaJ8sxnWnTJTXl3HvEIa9OP//iugfp//18bBJbP6Du+w8jOF7zAntf972/v2fLZVrzudfZcGhoaGm4KHvlI+3zmM3e3/+iP2udybLq94MbYvJuCRzwCfumXLIryq75qDpT5wi80G/K933t8oaFqUYpLfNZn2eT1h37I5DwuFDl5zTXw678+/3799fBzP2dRdTXq8ZGPNDv2x38873f+vNny+99/llW/+mqbTzz60RZo9CM/YnOUn/u5i9/3x3+83cfrXnfxfU/CLf1cbgl4D5/+6aacUCVOwBbuL3oRfOInHpfdvzG4z31s8XJ4aCoZ9R35qI+yudKP/IgFrh3F0bnIPe5h79Mv/IItXD7zMy8cqbic96ra73XxBJc+Px5HC1q7973hWc+Cn/1Z65cnP/n4Na+7Dv7u72xO2dDQcPtCs/PH0ez8xfc9Cc3OH0ez8w0NDbclmo0/jmbjL77vSWg2/jiajb9hvEfIscKFZTSX+JzPgU/+ZPju77aX8cM/3Iik3/xN+JZvmZnrmwrn7AX6/M834vG//Berffjt326DxGd/tj3wj/ooG1xe/3pL4X7zm3dftkc9yoitF7/YXpYL1f67IXSdDYyPf7wRd1/+5fZyPetZNqDVl+wNbzA96a/+6pnA/dmftcHx67/e6ifeED7v8ywV+W/+ZldW9iR88zdfvN1PfCI873nWnte9ztr6q79qGaHPfOZxjeMbi7090+3+lE+xvv3DP7TMxh/8QXjlK+FjP9akfR/yELj2WvjTP7UB5tprd8/zmMeYvO6v/7oRtsuIhkvFPe8JT3mKGbzP/Ez43M+1aI2f+AkjSqtBe8UrbNtTnwof+ZG27Wd+xqQE/sN/sKzIire/3SIbnvSkm9Q9DQ0NDXz4h5tNff7zLVDmqqtsgvyCF5h9++RPvq1beByXavNuDj7/823sfexjbeL6vOfZvOHpT7ex/M1vtn3OnLHFwq//utm0b/u23XZ+2ZfZBNH7C8tqf+AHmrrCa18L7/3eptv/trfZ9Su+8zstcu6zPgu+6ZtMSeEFL7Brv+QlNidRha/5GrN9z32uHfd1X2fff/M324Ls3ve+8D1/4ifafOT3f//CtZxvCLfGc7kl8PSnW7TpJ36izYVCsOe93e7a3JuKBz3I5p+f9EkmEfSKV9g79VM/Zc/zQz7E+ux93xf+6Z9sfnLFFfBbv7V7nsc+dq6D/rSnnXyt9doW3I97nM1xXvYy+O3ftkVsVUy41Pnx059udalf/nJ7zx/6UJMj+vf/3tpRnR5g74yqzRMbGhpuX2h2/mQ0O3/j+6zZ+ZPR7HxDQ8NthWbjT0az8Te+z5qNPxnNxt8A9E6In/kZVVB97WtveL/73U/1UY/a3Xb2rOqTn6x673urdp3qB3yA6jOeoZrz7n6g+qQnnXzOxz1u/v2pT7V93/GOedvBgepVV6mePq366lfP133KU1Qf9CDVvle9xz1UP+ETVH/kR1SH4fh1vv7r7bwvetHx766+2r57xjNu+P5VVX/5l1Uf9jDV1Ur1bndT/YqvUP3Hf7TvYlR9+MNV73Mf1Xe/e/e4Zz3LrvHLv3zD599u7V6e9rTd7Sf1y0k4qZ/f9jbVxz/eztv3qh/2YfbMl7ihPgC7fsXjHqd66tTuPv/yL6oPeYjqve6l+sY3ztd90pNU73tfezfudS/VT/1U1ec//+S2P/KRdq0/+qPj373ylfbdi198wVuf8JznqD74wXbN935v1X/7b1Xf9S777vrr7Z37yI9UHcfd4578ZFXnVP/4j+dtz32u6v6+HdfQ0NCwxIXG5WpTr7563jaOqt/7vaoPeICNTfe9r9mwzWb32JPsrKrZwKuuunHtO8keXGisv9AYe0M2r+Ikm6A698/Frv0TP2Hbv+3b5m0veYnqJ36inffUKRvTn/Qk1b/+6+PXec1r7PhP//Tj36nOffq7v6v60IfavTz4wSfbk7/7O9Uv+iLVu9xFdb1W/ZiPUX3pS+fvqy1/yUt2j/v7v1e94gqzYxfDN32TzV2WuFD/1z47arMv53O5FFx1leqHfMjx7Rd6X0969/70T1U/4zNsLre/r/rJn3zc3l9oPlr755WvvOFr/8mfqJ45o/qv/7XNHVVV/+zPVL/wC1Xvfnfrr/vdT/VLvkT15S8/3u7tVvWud1W98krVw8Pj39c+/bu/s/dtf9/mGU99qmpKu/tebH78utephqD6jd+4e1ydS9773vPcRVX1S7/U/iYaGhpuPTQ7b2h2vtn5o2h2vtn5hoY7OpqNNzQb32z8UTQbf/ux8aJ6c8pzNtxWePKTTZbzrW81PePbM572NIvoeOMbL28h2ts7vuALLJv1b//2tm7JjIc9zKIxfuzHbuuWNDQ0NDSchL/4C1Mb+LmfO7me8P3vbxn6L33prd2yk/GmN1k9iZe9bJb8aLh9IEaLfv2cz7E541F89VebmsRJkjC3JN76Vqut8ku/1DIkGhoa3vPQ7HzD5UKz8w0NDQ23LzQb33C5cGe08e8RNSHvbNhsTNb10Y++/ROQYITpuXP2gr6n4J//2VKgTzI6txV+53eMCH7KU27rljQ0NDQ0XAj/6T9ZjeMv/MLbuiWXhvd/f5OT+cEfvK1b0nAUv/EbVl/isY+9rVuyi2c+Ez7sw5pjsqGh4T0Tzc43XC40O9/Q0NBw+0Kz8Q2XC3dGG/8eUxPyzoC3v910d3/1V6246aXUULw94PRpa/t7Aq6+2upT/tRPmT72133dbd2iGZ/5mbd+hERDQ0PDxfDWt97w93t7cOWVt05bbkv81m/BX/6l1ef4hm+AU6du6xZdOmoNitsa114Lw3Dh772fayPcmfEnf2L1n5/2NFNAuOqq27pFu2iL3IaG9yw0O29odv7mo9l5Q7PzDQ0Ntxc0G29oNv7mo9l4w53ZxjcS8g6Ev/xL+IqvgPd6L/jxH7cU74bbF/7wD63A7Pu9nxUNvte9busWNTQ0NNy+8T7vc8PfP+5x8LM/e6s05TbFN36jFXJ/5CPhe7/3tm7NHRNf+IVmhy+E+93PirHf2fHc55pixkd8xHvG305DQ8PtG83OG5qdv/lodt7Q7HxDQ8PtBc3GG5qNv/loNt5wZ7bxrSZkQ0NDQ0NDw22G3//9G/7+3veGhzzk1mlLwx0br3sdvOtdF/5+bw/+j//j1mtPQ0NDQ0Oz8w2XD83ONzQ0NNy+0Gx8w+VCs/F3fjQSsqGhoaGhoaGhoaGhoaGhoaGhoaGhoaGhoaGh4bLC3dYNaGhoaGhoaGhoaGhoaGhoaGhoaGhoaGhoaGhouHOh1YS8AHLOXHPNNZw5cwYRua2b09AwQVU5e/Ys9773vXGuxRE0NDQ03Fg0G99we0az8w0NDQ03D83ON9xe0Wx8Q0NDw81Ds/ENt2c0O39hNBLyArjmmmu4733ve1s3o6HhgviHf/gH7nOf+9zWzWhoaGi4w6HZ+IY7Apqdb2hoaLhpaHa+4faOZuMbGhoabhqajW+4I6DZ+eNoJOQFcObMGQC+9mEfQHBC0owCqsZqK0JWAYRaVtNJwPuA8wEf7Cd0Hf1qRehX9KsVXd8Tug7frcA58A6cIE5QFETRrAh2Tq+mmStAFtsmItRgj2XUR22HfS8453DO4Z3HeT/t65xDVck52zGqiILmDClP30m5rqY8XcOVCqJZsLaL4L2nD50x/FkZ40iOiRwjmmubIHiPK20TURBQwJdP+38mZ0VyQseBnCJZM5IVQZDS/nrXUu5XFVBH0kzURFJFyzVcFwjO0QVvbUBQMi446olUdfqx882lUrX0j2Tw3tvPIpohpoTmTE6JlDOaFUVJmtDF86j978uz2NkugpPA/DgzkNDyY++Z3ePBduSxz3rR9I42NDQ0NNw41PHzJb/67VxxxbrYr0xKI+M4gGYg41yxpV4Y4nlyNnsoXlBRkkZSTgCoJsY4kjQhInQ+4H1HF/bou9M4enJyONfjJSBOQDKqCdUEZHKxXzGPZqOzsgp7BAl00tNLh6gjI4ziUAmgnhwDQodza1ZhPd2nSMY5bG6hGZzNLzRGYhrIMSKaQTNOoPcOJ6AkRrclkkg5krO1D8B7YbvdcHBwjtW6Z39/jzFltkNktV6xWq9xzgOKKsQYScl+VIsNFw8qxe5mstZ+UETMhkKavkOVMQ7EITKOEa8BL/YjEvB+hQ8dXb/GhR4cZLF5m3OKkojxkHE8ZBwO0DyASzhRlIhqIsdhajPqcLWNNuFBcIgLePFAIPhT9N0a5zriaM/Ki8MHASI5b9G8YUxbzh9ex8afIzLinRK82Lu23eLUkSM47Vj3p+nDmoODzGP/za83O9/Q0NBwE9HGz4bbO9o72tDQ0HDTUMfPX3rqk7lifw8vjpwjKUbiMJJjJOeIAME5gvdsNxtb06oiDlsTa0ZzBBTNmTgOtiZF8L7DdT1htc9q/zQurIgKPvT44HHBm087JzRFHApZiTkR40CMkZyVVb+H9x3B9wS/h/MBRIgOCB7EkaXD+YALPeu9U4iAIPjKAQDbcYMTBQUdI+NgfnfJisuKE0fvPM4JaGI7nCOmLTGOaIwoijihc4Hz589x7uz1rFYrTp85TUqZc8OGvVP77O/vE3xHyomcMzllUhwZU0QzeO/w3hOTrdNzVnKK1g+abM1MRtS4jZQTmpVxzGw35mvxOOtfb5yJ79d0eytW6326vgfnGPKAd4oTgTSy3R4yHJzn4OxZNA4IitNETtb/aRsrsYCKcRWIlH87XPHji3PgPetTdyGs9vDBMRZXh3cOh/EPadgQ45bx8JDz595NHM+ieUQKR5PTyLAZyRlyBvEd6/3TrFan2STl//eLv9ns/AloJOQFUAmj4B3BCS4ZLWhOx0LPlZdaRMxRhSeEzkiq0BP6jtB1rNb7hFVvJGS3IvQdPnTkMBOQIubQBEVUqW+yDSaCEyFLvqEmA0zEoxRy0IlDnNgfm0hxyC3SgVXJqkhWNGYj03JGU5qJOG8kHEycnf1tl7Z3PtB1vRFzqozOkX0ieW8kpIATRyjk6UycGunnnSvdWQZUMmiCzhsJWchSV0nIJfG7fGZ4kiqJPH2qZHAO74TO+4kIBYfzrvT5LlFYSVrrHl1cywjdEDze+ak/U7Q2ppRIpd9UlUzeITbrTwjh2DXt92DPv7wHSgSyEZEZclZmSnqXgG5oaGhouHTU8XNvv2dvfw/vBNVEjI59emIcSWnEidB1ga5zJHXkPJZxPpM0EZOQcUby4UjJk9VsoxOzGV0IZS7R0XX7CAERV9pgJF/KIykPpJRtgp8GXIn6WfWZ3sPKCZ0IUoixHDqUgKonxw5Y4d2Krt+f7tM5+7GFViH1ckRjtLamhMNsvxPoQiUhM9EFkkYjRlMiZ7NJPji6TghBWa/XRkLGxGbM9P3KbJxqCcrJdH0g5USMcbKHTjyqUgK7Mjlb25SMai5t1hKYYwFK+D1SjKSYkQg5gUZBJGDmUYGIIoTQs7+3N5GbghBTR+wj7J8iJU9KWyDhnCNrIkhXApscqJvblz1gpKRz5dnhUe3xvsf7gKYy30EQTYArc4IOYqSLQlh3ZBGCF/rO4d0eqKIZJDlSFOK2WPh12HlPGxoaGhpuHNr42XB7R3tHGxoaGm4a6vi5Xq/YW6/xTkgxkPyIW/UM2y3jsMUp9H3PuutIXUccRwuMzYmcIknNd+yKiz8EWweKCBnBe0cXHAFbJ3d7+7iSgCPOWfJJHMnRQRyJeSCnATcOBM0gwtpbAGrXOYIv/l5x0AXEB9R51PVI6JC+Y71eG8/gZOICnCj7sYeUjGh1I73zaCoJO8Vf3vmAFwc6EkIia7D9x7EEFSt9CIhmnCr7+2tOnz7NdhzxY0+/t8dq1YOCJEhA8IHoHFLWuxak7RGxdXtOmSSCZkfOzvz2Ak4UwVGc/IhC3E+kmNCUSUktAckH8wPESBpGS2Dqe87s76Ea0Wx+fckd3WpFr5kcO+J2AxnEO3IS+tU+zsgHI3btyjskpPP2qeJx3QrXdfgQyAiqgsOhcYCUiNnjskOdEGqSlwS8E1ZdZ7zCGfMdZBwpwpDMfyHB77ynDTMaCXkRZFXjA6dMyJqxKCVTsFBjziGuR3yHhIALARfspSYE8B3qA+o9OE/2DvX2B6KuZsPZHyaZkiVYaXzjOz1CljnjEXb/XX+fnHzlT16wLL6JScy5ZF7W70o2ZPldyw/1XAoUArBCrHMsg5IMLk1ZlWRFUskepDhiaxYmMjVDyzU1ZXM01j6oPeu9bSrEXiUh0XL9enzNAMWV5EzLdXRYNqQKeBGcW2YeLvq3YEngWjeVjJeSGemcDVrizaurdnFL5RRnz8jPtKhFguh0nnruJQlZCWFrU5gISOskZ47uPFp2bLZ30SxkQ0NDQ8PNhaqzIA8g5UxKFrgi4nAulAWJK5PSEshTPs0uWfSkZTUqzpcgF+eIZZJudsGyHJ0TclrYFgoBlxOqIzmP5DRATkYcOgcykhWSKkLCqcNmBLKw2c5WChjJiJjFtMm34FG8FzQXmyTWNsEVO24T5joFqfMcysJBqk1CiTGBOE6dPkPf9+VYx6rfAxzjNjEMAzHVSNNqF4uKgQipBm8pZC2LFtUS0GU35SiLBScgiSEdLOxpIWM9xDESkyDBYUslcN4Xgq8Qm1NP2LFOAuhgdtgbYRicLSqceBRXYsF0IiGlkJBmty0DVXMiJSwwCU9KyTI1vZKyEmMkxoyqQHb0XWfRuK4sZLtAHjM5CSMZHSzoaKlA0dDQ0NDQ0NDQ0NDQ0LCLlDMxJzQLKUVijIRCEPrQmT/cGSFVSb08qcwBNRnHibl1xRcOyxFVLQnF1TVfZM+7HS+ylqBbTRGNI3kcSeOAplSED52p/DGavl0GJwnE48VW8yLOVAlRnBqpiRNEHeoc6o2H6IK3hJtkjffO1upZ08QZlFQY+0+Kh99ZAo5lLWa2wwAiXHHllazXK0BRceyfPoOKYxgT2+1AjKbM5H0oPvfCIKizgOgSGJ1UyFnI2dqZKX5/cYgr/QmkcYTicxBn/vOUlTFGUoLgBZdG8mCphl32pX8TxARFZbHrOksminE6X1alD52pQDoHzhvBbCmKqDO/ghQSEvEQQunPiAs9IlLW8iMeiDmzHUeGktEKnlCCy713dD7Qh46UMznDFlNlhJlLaDiORkJeBJqV7AoZqUzymmDuLCeVgHJICCVl2+NCj+86fNfZwOEcKo5cfrwYiaWFHFOZnYlLslxVpw1LGdZlhl79fYdlzzXFfEFAFj1ZLc6/SXa0EIc2IDORj/YdEznJ4nMnU1CEHBO4QloWSVdLUy5kqDhEdUFl6nS2nNMU6SGVoaQSdOU6OZfzLNpcpNyqHKsrfVrvO4uiZCR4BDUiUqwtSJF/Q3ela73fIXKXfWtO5pLSvTA9haOdMl8q0ZmTGZOUzSg4t0gBP5J5iQjOdSA1MkbNOU5GYokQSYpkEJ9uzCvc0NDQ0HABqNYJtGXWpWSTc+8cXVcIMNQm99mkt6UYxuDMwuWkZbFids3VjHrJeC/4ADkVe+SUHDMOJasrEqSW8S6aTLpEFO9BQpksk1FGYpn8e/U4TTgNZvDKJB8SJu86oupLRl8JldJCMorNDWwlJiYrOyuXkDHbnacAG0HwU6Zn1kxMieAd+/un8cFzeHiA4vCuL3IsmZQEUV8WGFL6USb7mlNGCqmp2WylFpWJZOqwU1+qCCKmQhA1WoaluhJYZJGT4h39eo0PPRlH13c2+dds/Sc10KrM25wjZ5Nn9x7IDqdaFA+chTGV/tbSdzV4KRfJ2K5zDNtcFn0KTsljZowREY+qI0bKQtHTuxV97/Ee0rhhjCOalDiMxFHR5Oi6vdKP8Vb9O2hoaGhoaGhoaGhoaLgjIWcjmjKQY2KMiUTCO6FfrUoIrCn0SJqTbCzg2INm4uS3drgi/+m8h5wIwdN5x5AzpIRTI85qgKvWYGJj4Myvroo4JYRA13VGYGlEEyQFXEDE43OHkQ0Jdd6UELVIm6oFC6s4NJuD2/sATogl2Q9X/c4RlUxWsfZp9bEDOMTplA2oJIZhJATPqTOn6Lue8wcHAHT9mjEl4lCDaGtAsN/pc0u0WYb4Sg31BbBM0xLMbBXQrJ1dCFDKmJm/XyzBR4TgPetTp+jXe+Acoe9mgrf2beEmvPcogRw8iqk5xZSMf1j413NRr5zW9MXjMa3lgyeNyQLFqbxCZhxHpAsoEFMmJkWdY391mr3eSNVxs2EYRnJSy7pNSsbTr/bo+jWMbS1/ITQS8iLIKE6lZBlYpIIKeBfsj9EV2VPfoa7HhVrzsSvZkB2+6wmhaDz7AM6zVHQFjPij1ILU4sh05hSrxF2VUq3kocmjzQx7/d1qDjpySiX6oDj6ivOv/lFWQrVmJkwUZslwFJ23uQVptltPsgz2VTYWmepJmnPPSDfvXKmrVAfsKs1KiawoydJaMxUdMM73u5CQFTW9ayeWVVnb4gkW7UAug7RFXuBNjjU4O8a6OBkJeUSO9Si5W6HAmBNOM4ldgnK5f83QtKgaIwulEJxLorOSj8tPJNgJ3JwOq5oQb47xcYzkMdUAkIaGhoaGm4uS6ZhyZDuMDNuBdd/TrT2hDyYbEkdSyniRItGZp0mzuEDoPDlHvBecLxNvzXQl6lBTQqPgfEcaRzRhC41CQKJWm1C8kV/igkXpBQcWM0OKSkxjIdw6vO/ZDgeEsFck4Gv0YSRrWSiIxSGqWpamlIxIgEg2GdiUoMiVgmX+iSrZZZNyEQG1yX9SZYwJEc9mGIjXX8/+/j4+dKQxsj04JGXL9NRUVQCyZYWqTgE5dUGmxX6TbdHgC9lITkV2dSB5z2rVEXpP13cE70wGJknJGHR0nUOx4K+uW5v6BHC4PbQAJG+SMVmsrqPVB1HWfY/VitzafCl4i7D0VsNaNVvWp5NpzpTVFpugdOU9yckxDgMxKina/C0jxAzDmCwjVIQ+7LHXdTivHMZk+xcS1p6XY0xaalvfin8DDQ0NDQ0NDQ0NDQ0NdzT4gISOHEe2MTJst/RdoF/ts1qvES0KPTFaCbKigOTE4YNMvmJNic47y4CLpdYiVmsxj6OtzxG2h4dEBBdKxp2WTL1c/e3gnJVpW616QgjEaNl12+0hsKXv1vT9HpvNefre6lniEppG4lZhVWoMqsOrA1/kYQXIavUvEas5mRJxHEvJMSGmsoiUTAjBeIxk/ogxJcbRSpFshoFr330dV5w5Q+g7MnBwcEhMpuST0uzzdy4XDiChavK2fd9jmk4JE5JSxBtBd+7cWWKKaFa63rO/NolXj8e7Inmba6qTQ8WD94TVin69xoWACpw/OIegVlLNCQklRUeKA5KVVb8iO2HYbMhjJLlSvq1mPaZsz118ySytCVgJcqYHus6TMgzbLTGZKlYqdGVWGGJkKOcIfc/eqX0cShwTMWacF3zXo17J2fwFMVtmbcPJaCTkRZCzkp0WubNKnBmxV39MptMbydiZQ9J3gRACPgTL8FtIrpYcypJOvJPMPUXZOxbklhpt5/S4/Op05JGsyIyiKZPF/tCmuoPlfHMG4ZEMyjpmwc4xk1SpHY4TsdTmo3KwtS2LrE2pbKOreQiyeyHUUrrVyEutu3tPzZxgQfY5EbzMhKLTXORKJ/FZe06+9HvwEwk5XY5St2lx65WITGnONFw+g9pgTXmKqKjkLic+Fi1Es91vSUC1DBMwR3aRXGUSzqNE5tQMS7EsXNSkeLnApRoaGhoabjRiUmKyYumqgjhP16/w3iQ4cylML85qPaoYwafME/EQ5gx/zUqOsWQSeiMgEVQdOUWG7QbUiqE774rFKrUUUgQHwXeEVYfzlnU/bAem+QFGUjlNIB3qsMlBkVgFSHk0YlEFpyb9nhWSd1BkamKMViRe1a7L0mZTFjgek3ctpxeH94GcsxFoacA5T993oMIwDDhnRGHXhcluj+NYAp3clFUoKD54O29yReKkZh5mk0X1nWVQFlkaCckyRnEl+MsjnSeO2bJKMaIzjxnVSWthCtZStQVUiiPe26JJdSz3D/WgHBMpKknrvMDmFlrmL1LkenEmE++czefGMRFjogt9uR87Jkal7zv6fh/vHaoR1QDk8v54oBCSBJzrcKFJuDQ0NDQ0NDQ0NDQ0NFwIJseai+IfuODpVysrgSW2hq1reVwuRJn5XjVnsmLfZfP5J7WsSc0Z35kMqyarE5niyHYj4G2d64KVDzPyMTMOEQH6bsVq3RHK9zHaWlOcK85uLb5vC/aVEvCrpcZiGrZkEfAWuKzBAoOjZksAGiNpqm2pxDhacouIFWwpvENwodyXrWd91wEwDgNDjKZuFAL9ytaum81QCFRPXzIBVZVhGGZlIC0KUCirriOJMAIplmdQuAIfAgIEb4qI47g1lSUoAdQB7wPOBZM7LSVgYowWkKzFLw7Ga2A+fwVSjAQU1LIqc0n+qUlKKUbGZOX0vPNWc9Kb/8WCyEsfkel8R+g84iLxcCCmiHeBMWdTrsR4j64LrPdP4buenEZUAllMYrfrenJSU74yDV5a5tCF0UjIiyBlnUvwWcogtdKiikVQiPN4Hwh9wHcBHzw+eEIXbGByztj7EhlQ+TgtCW+1OmPVbpaSxl0jKaqaai6j6LKOoHPOMg8XRKKRY0Ur2jkbKBa1DidibcfjWFKpq/QoM3Fqmd6W0TGXlTRybE5vnmVJJ2JP6gAoiwF3QYZKSYkujkEjHPPULFfqK1oKNhNp6r2fSEgRmbMyR+xcRRIVJ4ijSKDORX219K333ZQJuey7C8H43LxLGy/I0WOfwtSHvvazWLyIEaGOLIqUfqnZsa6QkIhlyWRNpKxFZkCNWG5oaGhouNkQ50utgrlmb+h6k99WnRYmToo9UsuiQxI5jaQEOY2WQShWNN7kSTLehYmoFEx+JKYB7zqTYi/1BBRPSkrSzoqldxb0k3JkjLHIlLpC3jmbDCuWOSnOFillUSCiFh2I2VwttkZV8dGTKwG5CLaRxZxiqpvsalK/LVq6rjeyUWCzOSy2L+Fdh3cdIsJqbRGb1k9V9cAm7fMCrcyBnBCCIyWj9mINspLM6VN7xFjrUNT5i9XmrsmZNi8RvNgCJ2UlMQcamQRNtc9aFi22OOpCwAd7XnGMU80KJ1WK1SJ++hBwXc8YlVxkexE/BaIN45a+E/qux4kjJbHAyhJQ1Xdr8l5EBPb2OtarNSKJmLcIfZkDWU3MpImY7H3LQMwterKhoaGhoaGhoaGhoeFCCMX/jnOsREghELquKAwZF+R8MDLK+am8iuZMjgOMRlqlbKVCBFvLa850vje5V41IEDQ6U0fqV7Ze9o4QgimqomTn8VXFJ1gw8zAMJTjVlRqOsvDna1kPJlSN6EQzeUyoM9WfKNFKl4jgUzaCbRzJMRoxSC17wpQA45wRbaoyr+X7nn61AlXOn70eW+5mfNcRikLRKikipeZl9XNnpQ/LtbwavxE8q75jFFt3Z5GiFgR3OXMF47hlHEbIFrjtxJFUcc4yRb3ztibvepOYVcynQSYlI4NFF0laWiRvcyb4QBCQnEhxgBIk7Mt6nkJghr5jb71izNna55yRkCWzdBgGVnuefrU2ZSctWYzZ/CH93h77KeGcsL9ec+r0KQse3yrS9dYmlOSElJRYFJOypqZqdANoJORFMGWeicMV55ORRVWj2fSiQyh/RMHhgsd7V2pBFZY/+EJI2iDhnOC1ZkYaYWVFXHUnudCoOUMu0RKVdFxKiMKcuQhTQL9FDWS1iP0FEWkHlJ9KLKJFwxoo+/oyQPoa+a86ZRWUkWgi1ybnZWlLzRYQX6IBtNRC9NPwbqRedhb9obVGFEAiE42QLcfYYKI7Wai+DOKq5mQUtfPmen+Ljqwq0Muaj9UAADv9uPx+Iibz7n5zF9ZsTXtG5uxUkiiS5z5ZyuFW8nTqM5EiI6uTk1WJRqqSyIWETKpTJmVDQ0NDw81D160IobOxWR1omMxiVszuO5P3tvoKUiRUIWskZWUbI5ojfefwvtptq1mYlVJH0gg0L444xhJwo4SwKnbIW1BSmTxryTYchoj3wbZ7j8fhxVuh+irvjtV4oEiQrPquNEIRyYgkRCCN0RZSKc72zrlSvsFS9cXb4sk5y83LOldAFnGImA3ywTL2fGdyKZoze+s1cYwMw8A4jtM1+r4vds4YNucE722RYYWOE+JMFhaUfuXs/DGZzEweSWNiGA7p+o7Od1NopHgjcLNaOJdNYIodt9CteSpQCn8mjaUPBlsgxY1J+CCE0FlUpu8ICBLUFq1GVRZpW7tWSpEcMurUpFjK/I8s9H3Per2iXwWG9YrQOXzwpLxFybiwxmdH1kjMVsMji6JqNS6UVvu5oaGhoaGhoaGhoaHhQgjdymrwaSKHQIgJ0WSu26zmfy+BpjhBkzcVnDiSRUiaGcZIjhGCx5cwWpz5wnNKaErgPC4AwVt5FbWSH6tg5ceS60jBsvzEeTLKGDPbMc4+cl84BRegBCSb33fyVCOirNf9pKA3iwoK43ZbyNM4+eQtuHcRUFySnyzQ2Qi1XIKSXTmPClY+zjl8F8hAyolTe3tFNnZr5GlKKLBerQr/Yf54V7z2Gkc0RSQnRHNJrlJWXSA4pRNhHAfiOLAdMuO4pe87Vn2PeivHloFxTCQwkhCrf1lVEicU50zOmTRGUo7kOLA9PChyrAOjzmqUruvovcNrLkSxWH1NZ/efsVI3XTZZWe+NvO66hOBZr1fsrXv212u2p0+xCoFV8IzDFmKi21sjDlIcrTamr7SKM/9M89lfEI2EvCiKfGiNKCiOPldJMO9LfaOerrd/u2C1H33wRkR2AR86K6BaohKC84Rac1EgoWSxSPsoVj+IbJl81QNosp2LlhUC6yiRpqolV3Ou6bjM2DsmvzqznCWawrCsYziJqOZllqalvEPN+HOT/nLtO1drUgqAEZK+DrZFgjVJRNSZRveOrCxTJmZNL69FbX3peyMzrU0ZcKkUBi55pfXecxFSs3pORniSSl7ros5mve/670oUTv236MMq01YzLXLOSIYslta/eHTTeZY1PJeELQJZQk23LARtdVQbkZySyeKl3JyTDQ0NDZcDRqx5RCyAJGcrpG523+yHlIzClLXUChjJOZJjkfIstitlWyjkDEg2e6O1PkAmBCOnhu15iiqLzRuKnZ1IzkiRL/d43xOTyZMG7/ESjKScZGWKMkOa4oFYdasS4ZmMeCtl48eUZjnUZdBS+d+sZiAmBSugSYkxFzIwomSGYSjHuyIvo2hSpBNSHkl5JGuyUzkY48AU0qWWber8XNc6pTSRsuLg8PA8oXP0fcA5k4bZbA7Z5kMQq5sRtcjluGwZiNmBc6XdzmywK3MH7xFJpGTzqBhHxvEQzQNIIsWRYbNhzEoIHf1qTb/yVhNiuyX4tdV1KHOBGBMpJ4TEGLf2/mR7/ojS9ytOnTpl9xt6k6a15R2qHiQQujWinpi2kOy+nQrQ4SSQGG+Ft7+hoaGhoaGhoaGhoeGOCV8CaMkCOZJcRlNdt9k+1W8bUWKKxHEkjwNx2E6EopLJuSrtmWShyZ1aZp64RHCO1XrNddefI+aMOGHVeXrfoZ6pfMsYM85j2YuhY9huizqfL+VGPA43ZSyKaMmKtGSl9XpFrrKwmiYf/ZhiUT5aEo+2Xl/CFb4CJxBN4nTKnsyJ7TBOaoTDaOdMKbLulDiMxGEgx6r0hBFv1GQcoes6nMB2HIgpkWKEnC1hSODg4Bx9CHQhgGaGYcPm8IBh3AL7RghnIcaE8yMpY4pGweMxMtKeieCL71+qxlLObIctaXtIGgc0jgzDluHwkO1owc+rvT3WPlgJmsNDVvunQDxaFKvGbFK0kpVh2FpdUQmkZD77vl9x+vRpU6/Mymq1wouQh62FOHvPar2H955he2jvoSqdAi4gPsDYfPYXQiMhLwLRKtPlJ0LN+WCZeN4KzobQ0ZU05qpv7Lw34rEw8bV+EYVM8yIE8SUSQe2PSoWkYtl0WiVbdcpS0Mw0APllxuHCmThl8aWScZcsa8Ekykp+hszcYz1SKJEWCyKuyp3WWpATo1aIvLwg5GpdJOeKnNn0nZuyJFW01Mc0ErJqRguW9SHOPu1SVXNNSt1NN9eBxDIzKynssMHBi5KcQ5OYg9i0bncTIrXGmFjtqCrBt/PMnWlJKzo/gyxF2q0SokWe1kJXZvLUMu1tEHZWPHhJFB+Vb50ITsEia0pyKSWzU0uKd5UE0KxTmntDQ0NDw81D5xydDxYQk9UIyEk1wOo1pCLDXe1GTNGi3pJN3r2Y9GlWiBlSKtKf0epB5owVQO+VvkQd1pgWq2+4ssxKn8jlepIFIVj95XGDBJMCxXUm1SIC9Ng0rhSdV8qCK1NrVuYcpwxDpcit17ilQq7W9ghVkjRYRKeOCB4nVSY9ozkSPCC5nKdUSvQQ44Bqwjm1motVKr3kluYSjYqzxdF2sGjOOfLT6lIOcUPG4bJMygIuONZuxXq9ogsdaUiMw5ZBB/r+1ESeMp3L/um8WC0KyWUOVRZCm0NgZNV5e3ZZbUGq4EJHj9WOHLcD631vdyBKSjAOI2McUY3EmMlJ8KIoJepUU1mwjWjKnD69j5I5vzlbykP4Uh/DakyIyzhxdGLZpeCoZSobGhoaGu7suCH57ffkSPqFXNMF/325zn9D+1wIl9KGk45/T36mDQ0NDZcXwXcE36ElcUNSNlU/p0a0JSWnbMG+CkkzY4rEcbCMwhRNJjVb4kyaAmQTY0yFDFRIiTWw6leInDefbV2vuw7nhNQnI+VyIqdc/Ng9MW2NTAtWn1CcBxzZlRqF3qPOVBMRmZJmNCVSNP+AqJbgYsU5C5jWoshngoU6kY/OmQpj0mxJUFLX4okcR7pg61/za1OYTMf28BBSxuWMr8qKxSeNqrVDrL1elc1mM92rwxSWnAjb7RaNI955KwGTzZewt16zt7fHqu+JMZdakwNhtS6ciFuINZYkIWfB0dXvL1kZDw/ZHJxD40jnHJosO3LYRFNs6jsyiTyOjNtDfN8hdKCemBNDNNUmVIk5EXMmdGtUAmFaywvDaATp6dOn8KKcHTckUdQJoVuBd8TSN97SVRFnzzf54Tb6i7j9o5GQF4FXR8geJwEnNlgIJYrBBTrf04fVRDiK9xA8EnoIHdl5gl9BrTcllgYtKnRFS1pFkeLYVM2sQrC6QjmX+n9lBKg1mkRxouCtbmMIYSKtci5ZkA5cNnk1pxZZUWsNShmgKvemmqzm4nTXlmLtxeGdN4cnNrAlhCyWIu2ZiUZf614Wsm35WbMYLRvB5NykJGvLVOtKUHU4V+VeXSERlUkK11vWhyvZkHWQE2sMUQdEHU4CQUutSMHufcp2TOSUTGO6ZG9UiVSTrsNaNpGklqGhqlPdLXEldd6ZQ9NJzRT15CSkjDmQfZg6dTfDU3c+JxLUpUkuFlW7dXVAximo2L/Hltrd0NDQcFkgMcOoRRLdIXRmf7Haj94JpEgcIznMASA551KjUCzK0XdAJuZk0pqUyMOSwR58YNTIwfYACSYV4iQwpkA8sGChzptkZxwiCvTdHirCJoFN13o09CbUqY649XgXJhIRlOzGsnAqdkQEJ12RlI3F3mez8io4tQAkh8PhkSRoyoxDRkXLfENYdY7kYEwjq5UvKg2l/mWpoZGjHVNXD1JIv1xIOSdVbCaV/QbLkhTwwbIbnQpRR8YEOiZiHIklU7Jfe8ZYIi7HBCp41zPmLd51hOCxUtK5BPMERDNelK4zSdWUIHjBiUmgutAT3BohoP2WlKNF04ojqxK8N8UEM/6omMSPxoTrO1zoiDlxuL0eUU8f9hACIgkPtuAdlIQFbm1jBDK9D6AdGiPkiPOBrrOFDwKj31W+aGhoaGi4ObghMunIbpe4a03wv/mokUEnXThdrouciEnpaHH1G/r3rbMCXYZI3wAJKZifYAk98nniqevivE5Ujh682Fk8xzCtw4/aad3tLBzzs13uY07kxkU2NDQ0XAaMkMeatCGoGJmXc0Ky4DD1vWEbi1/XDks5k7P5cnNOdCEgmkzRR8z2bmMk5oTiCN4yCs+fP89qtQIJuNAxZkcazC51IRC6wGa7JWdh1a9xznH2/AASULcCvwLnUHFsxRkpKd58vynjciTlg1mlT4RQMyY9VnMwZ1Niqkk6RaWRovCUVIhjLrKjQBfoUZxGxmx8g7iiShiNuAsi+M4yOlNKjHEkjpGkCV9LstSkqBjBe3QcGbZbwNbMKpbFOG43jGI+gnGw9X5Oif1Te4zDhhRHYrIgb+87Yh4JoScEK22DGOuSBBTLTuxKshfi6LPdX06J9V7Pftex5wPb1ZaUEiI6cRyh86RxwBtHiMsZHSNxO7A+vSZ0HtXI2XPvQgl03YquW5HyWEy5J2XHmCMjmYEEXpEgZPFoDKRxxDlh1XX0/QqAbWyqRhdCIyEvAlfrLzlXsuZqzccO33VWn6jv6LreiKkS3eB8sImrWEq2lEmvqJaMSmPz8ZZa7FA8VhdKNRX50pkotIw+mSRGqyZz2auwi9nIybpiyJgTkpLRWUg772fNaNXiVBXFSPxCkEmVkcs4Jzsk2iRFWtpXf+bvdz9duVdfMgfnGokmW+dK0dyaKWG/Z4RuklMT5+YoDjGnr5FyMs/hnTkJJQt+yu7Qaf1gMnlHa2kWGb2UCgm5u3rJZZC3vnDTO6FiUSAASWfHdHXAiisZlUeyIHMxdvX3+ikipGjGbuq3yjwDUpyqWhy5DQ0NDQ03H2McGGNnk2YsX7BIAyAkXM7kbHUHJCxsMibToprxwdN3HaKZ7XBoGYc4I/oEnNNJjjvG0aQ48Tix+oOqgqSMeF9qP3ic84h05KT0fg/njLQ0u2gLDFXBuW7KIASze9XGTOoE3uOcmiyMYrUhsqsqrQQCmktWf7bJfonIoYoS2M4ZociE1+T/Ugc5q5AnKZiM84o4a0cu58xiErGquciLDyQdTHkgudL7jpi3jKNlG2bNRfbeA5kxDjgpChOuw7ve2u486ua62qZen3GYHK5lINYazBCC1f5cdSv6rufUag9lIOeEc95kYcZYpHmsdqVDkKx48YRgbc3ZlClC10GpFyrBmWQtVpdjLNme2xhNNl4cqg5cR99bBmnOiRStZkXwjuDb9LyhoaHh8uHiayehlBW+EcusSkNdKol34bPcEPN56azoSRzqySEtU57BsWMu9O9bb/V5kSstOtTphdt74pl1Pr9c4FLz6at60bxFdtq3e7BiWTa6M088gcZtwcQNDQ0Nlw3jMDL2tm7KTAtUk9YsflxNlojiFnElU3kxMqu+Y915yJHDIi/qis9ZJFDLt9haPtJ1a/P5hw4fOkRs/S3e/M/Oe0LX43xH0ky3MulOF3oLgPUe9Z4EprIopsRXy45pngnIqQyZE5xm1CkpKbmEEZnkq/kTcoZELtMKhwQt2ZpSgnZM5Ukk49QyIzVFW8vjyLEmCUEQsVJq5VBbX9taPqNGEMZoP5qIyWYTLghx3DAMI9thgybzlYRSniTG0VSTOus7VzJDXQiIN8eDYlmXuWR94mSyvyJK5zzr1QrNnvVqzWrVwenTjONoJVOcM69FSiWTs5ZOS4DgvafrOgswxvz2q9WKXJKjfAiM44j4Dhc8Y+EENnEkixo34U0ZsZd9xu2GNI6MOdMJ9F1HH/tb4e2/Y6J5OS6CWvux1joU50vRUitcGvq+FDDtzEG5qAmp4ufpannxtcqoFkLRsp/tD6FOZmO0rAInjsy8Gqoyqvbvcp6SZQiQCzGYS3RdzrOjUEomZnVI1jZZssT8ucQ0MOsuaWbnY5JrnX/mybZxhVIISFmkhruJHDRHqWU91vPP5S0zliKuLIlLWEznda5JWTM+FON+vfqp/UZC2n3M9R7dVL/r+P0uSEXNEwmpi3XDvK8eIxWn51LuNYRiFAsBGReFhHfkWVOe+tUVydq5eQ4pfSXHoiobGhoaGm4KoibGPACOXDxSzonJpxJBbWKd8kgnnWXFOSmy3TZCO3F0oYNCQtYawCF0ZdwXgg+E4EtGnsmsIAmoCwtTWVBVgrc60zmbJGjX7QNiigCYKoNznuwV5xa2bmF34EhdZ6nF66vcrF8kE1jkomWAMtlvKasOcanENCVSigT1RuzlzDhGYrSsRMqk364pJoNjy5TSnwmRTCYRc8R5xfsS5KORnC3SMnQWgQkDzgtd71n1ntNnTjMM40TWOfHkrPjQWXSpOFI2l6pxkEX1Qa2rtSglrFf7BHGkNNiiVCI+CN4HxHVm64eE82EieWdbb4oNIXTEDDmCC45Vv4d3nWVbRji/2dJ3K7yDzbAhowxJiwSPoM4kWft+zeHheeL2kDErPR7frUyevaGhoaHhVsUc/nlxLKnDSyHx4EL02g0xn5eemml76pEtppCkR/Idldmhd4ejxKpvg+O5hpfW3xfe//ildkugXOz8ypJjtDnQnMW5ID8voW0NDQ0NDRdH1JEYw2QMtEiXahpNAS9lyCZt6r3JpjopCSsmNEcXAv2qh+Q5PChreefpfE92ZimDt6DjrrNraYneFTLe23peSzbKaq8nhEDKyuZwQ7/et/X4REQar5DRuQxMSVby3i98+FbGzXlv7MFYy6s4nMMSc7Dvc8buu67jF8kw5JLQkhM5RXKuWZCWyTiO0XzvSQjOgn9FjIB0TskpWSBxqZGZ88iYhlJmLpNyJI3m6/bREUQYU0RHUzzqQ8fequfMFVewHSNZoetMRTIDoe9NotY7MpBUyaaLCCLzNofVYzy9Z2TndoNihHMIntV6DWL7DqMRyRL8RDbmrGRn3EsvQlSIKRNcYL3ew3c9iCcl5WA4pF8J3iuHmw1JE1GzJaQ5jwRP7x1+b4/z5x0H50qd0OAJ655VM/IXRHNzXATiS+ZjsJqO4u3fvsiphVrv0Rlj7jqT53K+KzH4MhFYOZukZ5X1JCUEtYFGMOcdNROw1FIsSwfKv+riQtTE00Rrirnicq09ZVkAORdJz4kQrFkRoRBrCS01oXI24vIY4bcg2easx0oMWttmaVcj8ESqNNxMlILifSUja7HfmXi0ulSL/adsynnCnlIiqhJKv2ZqdkM5j3VMfXKT7KvUzMoSoeK8GJmcj9xnJRVLQdp6XVd6PUt9FvMxE7m8cAIv+3CqqVk+q0xe/T7GuHMeEbGMz6yot34QLZS1NWIZYtnQ0NDQcDOQpGTooSWLTvEZVCOSR8ygJmoNBhEsM897izQEs/3OW1S+mI2tNYuBEiTj6Lue9XrFwfktMSrolr5f0/s1XViz3ShCx2q1JoTAsB3IKdN1K6p7UTCJdM2CyK49OlrfuAa+mI2J+BCt/qAz6VWLbJKSJlHk3ac6yYJ4k05FLEgmxpFhGOj6FWD1MoZhZBxHVME78FgtBIrdt/9GMhElTioLmmDVr5kkbMfRvlePJgXZErpE13V0PTiXOH/u3QybiOLY23N0vQVUbcdY3HwZ1WCLLBy9t38Trc6mE0VcRxdMwiaN0dovI84r+2f28eLK/EToQoe4jjzNk7LJ7IrVfhzGSBwzIyN5r2PV+0JYwjYl1GdEEoej1crs+m6af+CY5pNuTMhYJm6uB9cjocmxNjQ0NNyaUIG4ZCEvlt5YY2kvB05a2iklU/FS132lPtSxk5YA4cXWnWy/m9Le2xC1/RmIjuPP5dITRy+878nJjnMDLnRMPrJfDdBenK8Sp02oraGhoeHmI0s2lTqqPzdByuQ4ojHiUpEuzRlRU8Jx4uicw1IjrVajL4pEznt815Wg3wDZzuu9Z9WvWO3tcfbgkJRHxI3goesdvl9xsIn44Fmv9+n6nsPDDVlGVvsrdEoK8kWOdU64QYstrvalBNGqqinqjKMRnmlAXCkl5ixD0xR2itPfO3zx09sPIJb6FFNiHAa2mw2dANl+Pzw8ZIgjmpSV68AHRDsj2lBQqyOZxkiKIzlnEna51XoPJTPmUt8xRdSb6qNLIyuBrmSZeoGz776O7Tgi3rF/+gr6PZPO3Y4bcAFyzWi1OVm3XqECo47kZAyA64zkyzkyjsJmu2U7DITgOXX6FF68PWtxdH0Abz6PnC270mpoOkLXcbjdMg4ZNypZAivxUwm8IY5IF0gucDAeknJkveoJ3krROSe4EOhDYIiRMFp9Udd1+NUKf0ebXN2KaCTkRTBlEng//fjy40KYCKa6ry81nSwT0pFVGEeTH8uqxCIB6nA4FVx5BFXuTIuz0gi0Rb641Di6EiWBWP0mihOxTHw1i8mpJctScFAcoVKyK/1CDtWIr5TyREBSsyScmybyO8sTC+6wlohMkqNTPKWq1X/CBj9z68o0AEo53lGJSKU6dhGK5K3tFEKYnKyVCE0pTWThVMeihBzWrFFZXA/ATdmcCqW+FZjEbj23ZY0eiR+diNZyDXUnOnqXfbmMOpESDqm1KLGYNBta4iqLjnfSZOuTXKIlM2RXl4uVkNV5cZMaCdnQ0NBwORA12nhbAtU1ma3WHBG1mgJBLKowxhHxUoJtqi00m5VyQlNCxGMBd1J4S4tUtGAjC0qKaSAlTNZFE0osmYA9Do9mT06OnD1d2KMLq8mO50yp/1xqNtaaxVOwkND3/XStGviScyanWGo5FwKzZvfnjFDnBjIt4EwVIIKMpByJaSTGkYODCGJ2c9iWTEiUU/s93jucz1YzGZNscT6TdTQyUhMpWUalk1Tal+x7zYjvOHVqn+02M0YlM9ek8NoRRwXxxK6vD8Bqf4jJ2YuYJI5gc7ccIylmJI30AfoQ6Pue3nk6ceTerqskvLMI1pRTkU31xJSJsdTAwC4ZQod3gXXfE50FCAne9itStjl4src6H25tz8H1PaVXMDUGk4/P6nFhbe+g78h4cpueNzQ0NNwGEAv4rAyVcuF/6w1lMN64S+58LqB6Y69wUh5nzXlk+hQuS8svPy5GCnKk3UcfwVFi8VJSFy+GC+2jdY1emc8jLKRQHTzsEJENDQ0NDZcNOY0gK/O3ajayKRkhpCkiWRG1nxiH4j/OxS8853eMY9lfHCF0RW0IQKZEnkoYxnEkYdKgfVnHSw6oiK3jxBNVSOLp1/v065Vl4xVTkZXCDxQ/sNaNtpZf9+tyb6VmI5QMxIjHfPaWgFOSZQoJ6YoPP2eF4pswqaOROA6M24Fxs+Fc3FpAboxst1vGGEFhvReswpmtiE2uNSdEM5oHNA7kGIkpmtxtSsQYzUc/DqAJ73rO7J/h0CnjUIjUg/McpEz2gaimYjT2W8RbRqH0K/CCCw4JliEpIrjOk8aRYTsgMdKp0veBvb4jFCWptFohWjkFy6xM2VbbIo6UMsOYJrl03/X0qx4fAmsXCFknDmQshLV4j1sF3Mr4nZX0pOTpV6tCzJa+d44RJTtHWK8twWy1snqZ/oSa0g1AIyEvDtPHnAk3b+RY6MKcHVkiGWodxyp5qqXA7DialEfO5txMsWTRlXRjAO9NntUGOssLlxrVQM2DBEqM45QFmUsIoOpMQGYpKddaMjFnQq065yDZAL2oUehL9oI4wZW6kTaI5UIGVlLMJtmykFqFSgZWbW0s+0PB6j2WEbcQkVY7cco9mYk90XLekqJdNps0m/XFOI5Wm0nU6slrzbaY5W3nyNEagagTKTllKuZK+s7tX2YzGsFcMzbtuSz3me95htXQLM+tGJNMsnbVmpwlKkUlm9Y4RUI3F/FeZ5E6iptJ33obWUutq4aGhoaGm4s4lrqDzpdxWsgpWlZatRslGnFM42RXcmWlUOIYiYPJmxhxp4iavGfXBYL3U72IGJNF8sksw2oLjAFhn5yFGDMpQlbHarXCe5OBVazuYtRESqORkKVm4ZKEXNYbXn7W2pEiZbGi1Z5YdKKRnJkYbUGhbHEu43ya5FJVIylLqdcMIbjJVoauBGJ5EGcLJZGED0LWTEwjKY1Wh3MYcBpLDcxSkwJb9AxDZhi2xDhYncecSTER4wgacB5yjGSXcL6j3Ny0gPC+Q8SbJE2OjDEipdZjhy0gYq2k0UVyjkYMayLGxDBGRAKIzd82m4GsZoy7zltApfN4CXTrrgRtOWJWYs4MKRP6HvoO53tWfU9OGadCSpGUE74EPcUhk9Th/ArvLcsyqUO1LVwaGhoaLh9OYLeWGXRQgnpPYgRv6N+Xg4i8wPETU3gp578Qk3k0pU+PXFFO7JoL4pYk0mrQ7SVc00J5bIp2lFA9Stwu/30SRTtnjx5Po/RlDb97/sX+Wqtq2u+mnpQXfHX1b8zHm5+5MZINDQ0NlwPDOGBlt8T8zipETaV+YS6KebYGTsNQsuLStJZXVbbbLQO2vkxjyVNXsTW8C4Q+0HcrcJ4xmcIO3jIoxUlZQw6I2ychDCnjNJFFWO/vE7reFIiAnJQx1aDckepXkGyWQfLCz7y0HVCShaSsPec1/1TgrKzxY0zEFNE44iQjORKHoWSHpkkovPrcvbfkpi4Ey/TzYsSeJjRHggiJjOaRNG4Zh4FhMGIw1zakhDhF1LM9OMe43TDGEdR8+dtxIPneMhMR0jiS+hHnhH6Sqg341YrQdTjvyJrYJCM98zggPrDqLCO1QlcrNCXSGBnHwY4ZR5wPeJQhRQ42W7PMzrESoVv1RW7Xswqd1dR0xV+hJgPb763p9tZ0IbCSPWIywjiOJvOrmG8+pkwSwfU9nXe4vieLo7nsL4xGQl4EVgPSF8eW1YG0mo9+ciBauMA8CFBJrsWstZJSJo2WkSx4FRMWFYVF1mMlI428q9NlV7Ia5xqQRkQa8WXZjwq5bBcHzlm6uXOT5KplLEBKJqWWs07ZfuIC3ruiAS2F28zT/DkvaiWKU7wzSbKZkLPzWoBIzaQA6whHzhHI5dPu1Dk7phKli55HJ0LSiDvFoyg+z0sIiyDJ0yCdsDqYMhGFJtPqxLIvfb3GwjlrGtdmpFDLlHQltd2HOXp0iDo5eJc1HWumyVFCMo5jycqUOXu2ZF8K0PlQ2gpJQZ2f6myWDgeUFI1QdVIWO7vlKRoaGhoabiJSKaiOSImvyTYp9x6P4DDZdLxjb7VH0sj1119P5x37+2sON4ecO3fO1hVqEYPee1arNU46qxXoPeM4EocREY/3K1RNWtUyEANOeoYh46UnJya5FlWxTD6ZpT41W/1IH5hIyCXGcZyCaaw2pcm1dOuerGPJijTKT3yRZqXIw2gmpYGcE6E3cjHlxDAeoBpZrXpCxxTUk4OSkmVkdl3AApysxoQFK6nVjUzb8jOAZLqVIxdSMuVUwogyh9uzVjdZE/2qZ3//FCKZIW1Jo0ViBqrEupbC9lZfI2tgOyTGmEwSVzKZaAuiDDFFDjcQHEgysnXcHjIOW2IayZ0Sc6LrbPEDjtWqI4s9p5TKwi7lun4CtBS29+RxxDvH/iogvgfnSCqFaPU4caCCk1CeL6Ala1QtQjOrw+OhkZANDQ0NlwnLyoHLlLolAVds4g6lNO+9S02VYCTqKlOPfXfDWJ6tkJgiIEdcVgolmvfkw+q2KuUgzhaULLZZBOvOQbunMUm34ig4TsxOnbG7fj75nnb7weYsF3LDndBPxwjXo/1am7L4t+YTqEOpNGB5ovP56vO1bW566nlnP5myXWqosDCrPtV9pex7lOSswcVagodxghAsAyME0jCWVjRB1oaGhoabi+3hhnFvi2iHiFhpLcz/CoLThMtWMqRfB7bDhuvOnqMPHWfOnObg/AHXX3edlQxLRkJ651mthL39K9jb28d3gTFGDgcrH+K7FerE1A+dZT4qQiqqPjFnvIgFIftAQkHNtiTRUp5N6PqVBe0WP7Rgvv2DzeHk/3XO0YWenp7OrdCcSJqtDJuaeMOqX6EI3neM48h2O5gKT0l0GYeRYbNBU2a9XhGcWcBakixlywDsux5BLWh2jFaeBmVII3HYEIcN43YDqvTBk9NAHGPJpLTV/PmzZxmGLTlnVquOM6dP4wVEE9vDc0jojSxNe0i2bNTOO3zfgRc22w2bzSHOB0RMVSl4h3YdOScOyn1ItmIvhweHDIcbC1DWRMqZfr1ivV6D87h+RVityQIxZ1QgUXULZFKRciEwppEg4LsOvzJy0pT3FYKHjCWCOUsmciXZqXOOFCNJlagl+asGSjccQyMhLwLnZSHHap++/C5FqrV+VuzUF8wzATll0WHZhKqZnIVUSKU6qc6aLeNNmQYrQSbCqmYOzlmSMgdiTgGZu1l/tU6jKpaJUYhL6pTazTUjp0zBxYxedzIJdcqAFJlrOeZc61kupvuaydmk61KCnOVYX1Wis9anrIRkzia9OlexULx3aHBT1IqWwTlnLOKFeQAvCSwTSXy03mXNHjFJ2rSTLbJs3yS3i0wBskcJx2UNyOn4RaRjlWoFpj6u566Zk1IGMUqEpVqevsVVluBczSBp99oNDQ0NDTcNLioualX2xBXZbVey/Z14nFjkXM0GPH16ny4EhmHL2bNn2RwcsOo7+i4QQkfXdYTQA44US0i+BnOG1UwLdYgEhB5Hh0itPSFIVUOfYpkWcfoi+OCQ7HDenJZHScijv9cMSKoiAuDx8xwDKfJzmLPMmdx7F5wRhDlNsjU+CKHzJXsxMwwbk6/RjHcrRCwS1XtXyEirQ1ltfdZyLhRNymazYRwHk19xRthth40tHLXKuJboVufwzlvEppMp01E0IzmV+7LYTg94r6gkK6WcxCJMNTMMI5pGhu2W4XCDEwj9iijRJGZipuvF6oCI48orTqE4UlJiNPJyOwyEqRZVxnlPUCMaMw7nHepCWaxYfkSOGVVzUXrnrT6keSmNFM4ZTfYocrPzDQ0NDZcFnlzoJqb/TyvLxVArCKZloCXTTnb+XXaa1tmVlqqU1IVJy+U1ZtR9LebUiEhd7Khl+zJGdxHvPG/L9ahk1k+MnGMxd6jXXv4omIR4Guf2lHX3RLLVw5WdHjx6Vyfdr5U5mRwTO/vZ+csat/bDgtqbr1T/b9/VbJaKpDpldDB97hKZR9s2t6gUcilBX2mhu17bnRcd4KZWH8mdlLlPgy77tnK7inhhiKaIJb7Uvm5oaGhouNnQMZGHRHYBcaUMlwJYxqDDVHo85psW4IozZ+i7ju1mw7uvezfnrrue9XpN33d03Yqu61iv91AnbFPCF/U6CZ0lvihW19F14HtcKAGpua7lZVp/K7b+c1JKeLgS/iuUgGM3+aJr0pGmPBuWAhEQc24XSVabP7jy72phxVVlRsfKeeKwtbV8TjgHQTydM1XBOI5sN1uGccRsbEliEsvyzEWJyO3IzyuQQIVxSGwONgzjYGtbZ0E4w8EhznvoAhot4DY4RxccrutYdR3BCZoTeSySuSUxycVU5iMjfVfIXXEkKQG7ObMdthATm4MDDg8PcBnW6zVZIweHh8SUSGr3IU64y5VXWnAwyhgj22Hg/OaQ1WrPlCU144QpaciHYAHNodBlReExZlvY10Q1J7aWH/MGsMArS8qSKfmr4TgaCXkReO/tJQwBX1OVg58IO7zbIZ4qoUUR+0p5IY125NyqahrLdV0jMpFTOS9lP+uAoHOwYxWULic1mU77kSlgckm8zec1B2XJPsRNTs8lAWkkZJlslzWBYDPrKRPT1YVAdY5SSMjCpZWFk5ZIjZQqubhLBlpNq/qdFqk4YYwDVWLVFeejdw4IZQVRshBz+eMfI0tJWIdlLXgXqEuOmvW5uPhcE1IqmTgPsPU+7AZPEnE5mYA8SmRWp3DOmb7vdwjInDPeOdS5Qlbb88zJsjOD2AJJAbI052RDQ0PDZYIbFYlqUpjOpu+52FonDucs2w6nlnkYEyF0aI6cP3+OYRhsDPe+SKeWutHOk9Wz2YzkNBBCz2q1Rx/WbDYjqAPpEFY4WZUMSS0yp9UO1cgjpYbjVDvtfQCXjs0rauZjxSTTomrkmySzPeqKTZMp8KUGH4n3OAd979iOAzqWrEPvCMGR0kCVKl+tekII5JzZHB6SNROCY73uQMSyJIvkjNWBtvmIAOO4ZRi2pJToXGdzKs3klAmhTu4d3apnf6/j8JwiBJzrQEwSBhHSuEEUvOstQCwYQes6cxvmBHFU8mh2dRhrDZCAhEDXd5w+vUeUiJ61oCaRYEusZJmhMZltdi5YloNmkFgc1NFmKjI7qmu9bjGOETD1gywZKYoLdbLk8CiJnCGTiKrEGGloaGhouPm4sjiKlvbSwkGOimIK0cJZy2+GXWqsEk9iga55SWodz7ecSL8Fh1mX7/UnQ6kjtTxXJbssK/6iiYjT9aoN0h3CsZcyH6h+g8UxeuTTlTYd8X8COxUPbxD1XIGZlDvmB0GLP2P6beeKU+Dvok1Tv4ndpfOyI286xQbpfKbl6r2eo55/ee/Zz5mR8/Pz0/FLfYJKU6JVAs/8L92R/TKWcREVUvAc5syQF0xlQ0NDQ8PNQt5m0pBQn5Ewr23NN+3w4iwrEcVLRLMnrFakGDl79iwHBweWNegcq35tyoA+4PsOdY6DYUPeKn2/Zn3qFN16zbmDQ8Q7JPS4bg8JvZGLSYtiYl0RFt90NolP50xtT7w3yVOxpKVqE6b5xcKQyMJub4cRKZZYxYO42WYtVRm9wxNYrzq2aWSbE6JK8J7ei2UzluSd1aqn6zo0w8Hhhpz//+z9XZYkx5Lnif1ERFXNPSKBW90zXCxfuQu+cwk8XApXwBfOma6qvkBGuJmqivBB1Dw8cXEb3XUxNexuE5xAZEb6h7m5h6mK/L+cYsZtyzgY9+DoB7N3xuhrdp8r9v754PH5yRiDbdtQLYhnVM2miWCoCNu28dYK+uhQatrYuuO9E8Dx+Ulxx0qjqlFVsaLcihHhDFH2CI6Z5/EYA/VFBzNju2385eef04nxX/6Z6RPMEFOc4K+//IJL3lbNiHNmHw5zEDNBWjj3EQs/cVlK0dxDmVbkuQN4Oe9LTOUOw3PmsR+X28HfqwuE/IOykhaspRSsVKzWH1SDLHRd9GsT7XOm5Vlo5gjxAmTxClbFsjCdLz8/FYtfWY451sqLp6wd77ORWGwAX1as2TUkgJgMzTMD8ouNdyoTzwvz88ssPbLha/utL1mVC6QLIXMN9WyKvkDIvHgu4PJshM7Xiq8h5I+A3auiU0WTEeqSw8h12/YcjirN7Kkq1bHUFu6I76kyWefhHNueFwlIS1mVBHF1nTJdx6qLreKx7Pecp4+4Czj2u/3CD8Dtj//wXAxi5YECzFe1aXzZwhQzTsXseK5Gqb44A3AjhDkvh+mrrrrqqj+jpIN1Ul1oRii4K4gjkuMjj0CWCrIUpbXCL3/94Ndff2WMwf1+Z9tu1LLl9bs7UwYeQoRh1qjljWq3BMqWvbjQ0Lgj5Ca/lJH7CU4STx7Dud6F2BMcRWD61wj1RweCr3X2+V1ynZ/LvnXGRGJCKEVSoTl8JmD2JEAlghbEsqQ3RAfeJ9MHrRXe37+hUjiOnvmGx8GxT9w7yGSMnTn3tSeanAYoAhzHAJds9LTk61L49vaOlbLsYQXTwq3dc62OksDgcPCBWSHGnqPamirNUpYSsSZAPHCYTpfUuAx3Ws3mckbmQz7GwBcQaFbY7vcEm0P4/rHjozNHKh5rbdTacH+ABB57MkUnBAXRDRm5EfEJMdcQ+2aYaDItF4krfOJK7i7Unuf91THiqquuuuqqf3v93/9v/1e21rKnWz+bM4mrc0ymz1yDTblrIMu95lxD5yLSnOTRuuYC1Erfbnz2zhwDNaPVmkp+WSOss8eW1Weu+I8ZkVEcKEjhdnsjVPPvmgMyQSn1JD6fluynk5L/0H+erknjGOAziTKePa8BPjsxBz76yjPqz73A+VhzZh70SSyCNcB9iRQZizgcxJM4C0Fr7QcnoBm57oqfzlAv+dXr70c/MofrONI+L5StvSVB2hStSQLXUtje7wk8iqCt0FpjM6X/6z/TPz5yiNwHRZRaLM/DnIw+iDEXmcuhCumFnudZVAFDW2ZJa22UNUw+Zy0aSRBTCZiTOQ7644O+7+z7B2M/wCchwScjQVMPNCBcmCi+3fkuwv/j//n/4v/9//nfGL918b3qqquuuurfVDJAZroZKSUv72JAWmYKScYlHMagVWPbGv/8z7/yyy9/ZYzBt59+4v39nW3bmHPS52DsgbbsWrVW7H7Hbne0bcgIEEPqhtQ3tLYl0MmMQ9WcmT9n5acISAwJSWGNGDNGjr2B0xFBgLEUmya6HmeBqlhGrPlMRb1IEplFEz8Qfa7fOWv2pzL0tHZVBR8T94NWKz//9HNGxwzns/8n5nEwjp0+O+LO7A/2z1+JkfuImGnRqqIceydcKNYoVjFRXIX3929JKNaSM3tJgPenesNFmJ7OkUzHLNi/fxBjovdgu70991mF3C9JxNP5YIgwI9Bi1FtjjEGo0p9AolJb5aeffmK73QhV/uWv/5nPfaf3TmmN2jbe3xuMjsSA2Zk9GBFgCaSqB1gwSFKyB9zvSa1SloNkpGLVLK2Az3i3xBD+/X8X/nupC4T8gzKz/AVodclyDUxXWGpJBoRqovlLmrt8z9YjZBaQaBDLivSUSD9xxLUZT9/qHyviVEeeG36em/dYtiHPTMP1gInXreP5AfCMH4aTp0z7zLUUeWEYxmlfct7e10Vu2a+uC+rf2pIC/KgI/BGc+1J5vt5u3XspIZPzGOHLIuWJdj4fk/MYX6ilZiXt2cRzgLw4ledbkfatwfR4oZ5+HeNTsRqvF408r5NlsStft/+tcvS3wOpps/qaHwkwxvib5jYilsz969w/maPrIhZ5TWNeSsirrrrqqj+ligvmRsnU4LRd1VS3nfarwUyG3NjZ7vU5SDMz3J3b7fZUH34NK43pyv1+5357XzmQyhggNIS0YoUG0YDALDMUk3m3VmNZrBp5sXTXzLj4IRN51fM2L+sUZONRW4MZz0HjmSGNytqfkGp7T+XjYz84+p5ZFcveZoyxHCK+LFc9OhHB29s7tWz0sdP7zpgjFZALyIxw0pIm1+dilaJ53s5ormKV2/22bp9r9bF3Zv+OyhvFzmFsKgir5TBRNVAm6h1Gqin73JnhzO6MwdOFYbvfqHU1RSYcfWcfg1qUWhslQy/pfeAutLZh1hjj3Buke4RJ5GdDUrWYcVqZJ6KWIKpFDm4FJWagEqgapRgqeUw+QQpfRCiflM8rE/Kqq6666s+o/6CDRjBjfFmXLnKrl1wPsw+D5mMN7XJNcv9aM0VyLtCk0bSh0QgRNpuEOKUItTmm8iQYA0/5oAjQMzdpxhpgWkXEKW4Qp423E6IJis3U4lX7Ws/d9Qd536uJT59zkZNHqu7JdaeaEqG4KXMq05WpDjGZ5Lreo/M5PylSlioiQdsihVYapSojsh9+BRUjYlne5sQ1SMJzRCr/Jc7U5/wvADHoPjjKZJ95DDHhTkXWay+axCKtcNskB7UCYRPhoLizlYPDHoh+0jmwENow5uxp0dcHPlIBgsAUCF3W9FEglpJkVNQqNWaea7MVi7IowQISk+DAfafHJ4d/UMZ3+nggPgmFZiSgOiY2cx4TWhkDfv75J24zcdCZxg9XXXXVVVf9g2UohmFiVKtQVi5wBB4Tn5kTGKNjfefb2+3pXph5i4W3+53WGnC64Kx1Q43b+zv393dquxEiHNMpdSO0JPhoG2I1QT4LzL7m6anVW6TeEGSp93K5PPvoU1CzItdE8DnTNUeX+Gf19W1rHD2IfdD7AE2rWe/5uOeYe7qjwMf3D/rnA/eRAtHpHHNQS4JpZrpIWc50+PbTzxxHZ98/GXvatM5jcIwJIxWDeAp2FGfbbrRn9GEefy2F9/d3vvAH2PeD7oG+3bHWKEUZnj2xWQGxJBsPJ/pI5aEc7H1n+qT7YISnmlGV9/d3ainEdEwKfT84RsdEKK1SakVUOMZghvP+7RvtfucYgxH5vCffN3Mdcw+SQrDBGEEJwZohWjBNC1yfJ45iVEunhFS5ClASfwgY/eDj8/Hv+Wvw31VdIOQflSYbT+xLLWi1YNVWLmR6H+dtFktRFBfBntlPC3BL/681aFJCTsgvK06GAmkHl5tTT6sSOZVwabma4bFfbEJeFIZP7ePaOL96qWT+Yj7/CYiKnE3Dq5piHfNTBXmKkuHLcOxHBcYJlop8gZy/VQdmTxbPi/Kp9vzKSDzzEf05lPwxZzGeQ9cfmJXhqJWUHKyb6roIyAugmkrMzNxkfh37yej05fP8db5iMUVhMpKBuVihryDo67D3y75Vvr4/n+cLhPxqJvP98+c5yWM5VZH4+ix8rSq/+1G96qqrrrrqv7EkFqCVm3yk4BLMyI18Ni9p5dHulTEGn58Pjj54e3tLy5JSlu035Ia+UKwyZ8OkMLpz7DsqjVo2VIwIQ6LmlxdC5spF9JNrBOTg68wfOoG8p13oypY8B6b5WuB+vwFwZjKf3/uRwfLHMVLxpwVRzcbszKFmuQGIsz++M/0B0THJoaZHp7VCaxUFHh+fTHeKNkQK23aj1JLOCgfLJaIQ0fE4cO+4T/Dg7dsNAkbvHP1ABVqt1NJyjRYIzf3Ovk+UA7s3WmtUE8LBliolXIjojDHwGUzv7PpIC5WZNu6qFdGKNCU0nReq3ghTfB64D1QLKoXeB/sxmDNobeO2vXG73Qg/2ZCDYzzOtxxBMM3v/eiIVExBS0G0Zt7UTLDSNK1z/GlV72nJo2m/k1uCK0fiqquuuurPqIrTwumz4+FIpPtM9r9OZ6R1F47oXNnFCzR72on7cilQ0AraKHKjmLJJkmNqASX7c4u044qZzgHuM1V0/VjDR8PKjVZvWDmtjEqCkFKQtR8RA6tK0bQR57xlsWffesZ3iKeq4PwZMwlFRQJzUiHpjsakLDjQI5Wg1QRd65q48n7/J+YIxpyYQwujilHIGcUkmJ6DXQ9Hj4msvj9yocTHzFwrQJb/Q1mzg7RhF962wizCcShzTGSmXb3ISFu7AaZOHCurqRYIYfbOnAcxHoQOrOZrZxF7RfK9FHNMEiAVVQ7xBCE1lpMVhCySsS7lqhx5/jXfp2df7xOPgxEPjvHBmB+EP1B2rEAxpUEOeyOt4lQCRPEK32dHibSojUsIedVVV131Z1QRoahSFqAlZoQs9ePs9OH0EcSYtGKrl//kOA7e39+539+oVr6Iu8vBwErDa8Gs4iE89oPQgjXDyraIRBuiBaQSAmo9CcVxuhWdpOIXonA4ad+Zyj4/HY+I5dAHb/f70xkJP2ffk+OYHMfB/kg3g1IzzmSMmXP1c22ZSQD+/v2veH8Qo6M+6ePA+87bbWOrG+6TX7//yvRIIs79Z0qptK3w+T2doVQCYRCmxOj4NPCBhPLtn34iJhzHwXE80tJ2a7RWnrPtjFxz9v3Ify+F23ajnNiIFbZty2lHOOPzk4dPfAyO/fMpCIpilNuGbY23lpmNUgDPyJh5dOYcickU49E7+/GdYwzub+/c3t/5+dtPREgStuaxevk8zpwFQehSeJaKopRSkZKfq5n5connmDznMiOcojkDEg+86xOfuepv6wIh/6hKIerKgawVq3mBKmUx2U+gTQ2x8rT2CBU8ZFmgZBODCyZlWabkVSL9h5NNf3omK4K6E/NUDMyVN3AOrZw5Zg4XfWUmLlDRRNFI4FLLypGMuYaa+VipNrS8MIqBBqLLOuWlnsrIIC+UpL/0GX57yglfgcbMqrK/qxCEv1VqnDYwr9awQF6YkGdTtSZ9z3PwysAE8H5mXSUTRjwZmDGd8Ln8mZcSAzj9tJ+l+b/Ed5cNq3+BhydY+1pf6sl4WvWc52GuhlVUQGwxQn9Ucq503fU4+b5JfEm5xZPFeiLAHo76NZy86qqrrvozSu/getBdwRVb60c46AwsFLNA7E65Pfj1+7/w+ThQNW73DVWl70cG1EdgtuzbtVGi0bvQ+0SlElYZw5hDMamo1sz7nQEGuzkRGfQukVYyIsJYCrpWS6oy+qBUox9LpeG5H6hVub81ti0zBseY+NgR/MsyBcGkPhmYWKFWYxwHwuBWC9Ocj49f2MevhEzstKX1tHATHKFQ1fI4Hdw7Y1mgLEkjFhuTJB+ZCbfSME0b1dkn4YrPyVYqt3bDxyClj8GYg+1+5/72LTOVphMjh5STSasNl7Vurtjnfhx8Pj7Z94MxOl6g1EofsB9Bu7/z/tMNrwVEOI68XfhkjkFVZczB5+MT1UJrN97ebpg1ijU05YrgCeK6bGnv5krVBCF9Tr69vbEMVgkJZqRVa6ElWC3JzBw+8DAiClUEMZje6d7pfmVCXnXVVVf9GfWJEmpoK8QcjN45I0CKGk2U3g9G78yui+w7wf0JnhnpfDSmEx2klMwa1qDdblgpiBhpr+bLvSYBOh+TfuzM0QkGIoppoAxcOhqSoYEyQUeCnJaWci4VwckE4kmogApD02ZOQ5AO0T3BU/FFSFLCUiLpy4F0egKPsVQacwYujSlKjikK9f4TVpRplodkG9o2hiqP3TMfecWFhOeQ0SPSWu7Mx3QnwjLjmFzXdQ0iVQQT8jVCkpsmaFOsCX3PjOXuMEdPNWc4FaNtxmb5mmM6PoLoRhxGiUYrhsdO3x+sKUfmYrW0V3XgvghcJ09cLN8zrQUXRdTwuSz8VPO5HOYYEOBROcZOn8bwgkdJJwYJFMksq/sb5c2Ywxke7Ai/zuCgMMXShvdq5a+66qqr/pQqFTzSfccirTEDSdvxUEQb261SpHHXg4+//ivfPz8QLXz76Y6KsD+ORcp1VNLyu24NLTcOn+yfHWkVrRWsMtRQqwlMhWGhSCTZ13QpGpFl0Wp4pAillJYZi8fAaqXPoM/J7D174lr49vbG220j5uB47PTjkaIaVT4/H/m4aC7sIeDOfWtJgp2Tasbhg++//sLHL/8MMdMtKDI2xfuBMJneUsRTWlqni/D4/P6c85dqVG/Z6w6j1kLTd4zA+3iSbiMmt7c79/v96cLg3Zk4b+9vvH/7RgDdJ12NY6SK836/5QzdO7XeiQgejwe//PILj/2RZCrysafA/hjc60/cb3fKLR2HxjGYBaIKfUyKGjMmj8dnWrnf7vz8l7+w3d4yWq/UVJ4izJjYtiV5bI35NWAcg5/u97TG94FPQ04X99sNNUNNmGPkvq4Ecya5TVUJ77inde1Vv18XCPkHJfakxqUaUM5shEIpZVmGrN39AiJlKSdXsiBjJGLO9GcAu8dSOy5lXzqwpcRYI2+bFPnlH42kJegJvs2ZzMeItVE+kfZsTiCzKfOXSVaAe3wh98pTBXnmWb5akgILrFyP+YN1quZD6Zlb+Dvn7XdAxdOi9Leg5N8FLCP/l+yHL/Ayj82fzNSvnyXj8AmcekrfWWAu6z5LT7IYpS9qxlMv+XIOTnXnkmT+zbGftznrFZQUsZfbpIf3DxIXgCUrT/bL19kUFTSU0FjWQUJINsIqv3/Or7rqqquu+m8ra0BNJM2jI1PoR6oCQ8i8gVqwEuzzgWnjtmlm+hHM4cyR68l5ZQ53kFQXhFhafoimhbsaTVtapocwZ4JRIQPXjhrLvjObislMq9fFmDztXj0O5ljDwFg25uJM73w+Muehj505D0ShLKsTk4JiqLGs5DXtRMSI2XF/MOZOcKDmaTu6CEERSRoaI9V8ttihxeT0Vkvl4drX9Bn04dnIFWhFqeqEH3iZ9EMIC1pVhMnOZ56PMTl3+xEgWmhbwZn0ffDoj7SgYe0zasUj2PcHv37/Tu8dM2Wrd6wWytbY3o2gMGba0WgxoAJOnyNVip7NXCkFs5b2MLy4O8iyufHAh1O3ezJKlxIkJszuvG3CmJMxdxxHyi3JWZH2La4gkTb9eipnS6AlkJkqit+z57/qqquuuuq/vXqQtlqSjHtDOHml7l/ZPSKKSoJvMQd4YKaYKk4q/QJF9ez/Ld3SSQKpe/a700l1vqf1mc8fZW9nfiM4MScenWXdk8TgenoaLfeeWATcyHU4B5Bp6p5k18g5gOb+wfGlAIGk3Ka7QyxSrEaCpyLAPGNSMqvKtsLtvi2CcAKrYYXeneOY9JdszIybkWdW09cL1Nz/EGAV97RDEweTPA6TtI4TSbKOz3laQuWpEsHEsHbLIaGWfNyZsSvu6XakWggKHgNCU7WglrZpa72WpVRVMQJNa3V4/sw1LfDFMqdLdClU5qRaXVnaX6RspOChTM8/l6oUAfGZDhMoHjBDGBFMNaQ2pCziGZcK8qqrrrrqz6pWbanqPPu54+BYNutIUMyo1aja6L8+QIzWltLQg75ynVkxIKKpVhQPfIyk3VjO2NP9UNIVce0FxhyMo8PsqB2UumLCUGakaKisntKX1Ws/Bn04B/MpsGFFloy+8/k9nROOR9qimkoq8oLcx0hiFGqJTdy2ShXwMfDeoe+oD4olOKoCzHRScPflcuBIFUptIIqI0vee1qwxmTOzJ/vo1Psbt6I0MywCPzqtDuYUqNBKAZ/snw/6cTDHBFvrnYAUY7ONmMH3x8Fj/85+HLnmmtBaIyL4+Pjgl1/+mtmNtfDt2xt1q9xa5b0UohSOfvBOziKiGto15w4jZwMhQWkFKxUtuZeKH+Jr1uzdYbvfGf3BnCdWEIw+ub//xFhuTURgkuCjLILS6dMupogEdrvRzKjnnmthRVf9fl1n5g/qCTLC80NXSqXW/HoCbCKElKWYTLluWQwIIRmXkwEuMJfk2ucTUCRgIEutLSt/Kv/txA9nnOq8VEn6k60hhKUtixhrIJlqOlFJcE5PW5FlNaKnLeyyCl0KTH+Rij/tUn/InViGrHL++W8Bsa+8SftBFXkChhHxzN8AnsDkCVi+2rO+Wq6q6lM1ef7szFPMU6RL9g0ZC7lYrL4sVc/zfeZTvWRmvr7Hr6/j/LvzYx7kb88H/AhA5uuSHx5Hz6bzlNzHGnRHZHjxU+wpy0Ygnr7h4Uu/GTw/c1ddddVVV/1j1TajNFlbxsHwSAXhUt6r2LLxFHwEGoUqyYzrx85+7MTMkHu1vMbncNNzaGmyCCixsgMLLp1iQtUEF70PDs/sItG1Zp6EJZ8L8GRZq85ssryjxTDLYHsRxQqITI7jQR8P9uOTMXbMdAGBd8xIxQZrH2CyBqAzLUYfH/T+YM6OqnOGEYvGcoFomYFthVBDpDxVEbVlrrMuK7ahE9XJnCOHuM5yJJjEDMb0Bc6mXamMjvug1rbUHsrnfjA5aHVjfk72/Vib/9yj9BnE97R/2Q/nOByzytv7O6UpgVDbDWt3jpHM03kc6TaxrF5igZB+Np/k63B3uhi1TErxfO1aMUs1xiyxbPaCpwKU+BoyrgxMiYmEp1qUzAefPnNNl5dN1nMqKaSPxlVXXXXVVf9o9d6pwpMFr5bDMhY49iS0vvSisUA21bQBxbNJM/3qnYVUvzNm9moGLIV/koEXyJjhRpgYWmz1hOks5HMwx8TMQRyxiqmB6dqX5FqSJNq0CYvldrS2CTlIXWThZ2SJ+1LuxdMabvn6JPgWjtsaWIYwFxBZNAlL6QWfBNk5PG3IX6Jfnl+nS5H7D/17fs/zRUgqLVfetMTZ74OopdtESigzaxsWObtkttO2pbJFTnL06t/VFkdYnuunqiKlYD7py44OeCobPVbojQdS8v1O3nIOac+omhnBnM7gtHg/ZxiLuLTOTW2Vt61QBMZx0PedKQ4O0ycjwCXJbHO991ddddVVV/15tbVKKzk7jdEZkcBirhUg1UAqYcLRJ4GhpnjvPB6fPD4/kEiwsljBTmtOYMRATCmq6cDjI2NUYmKW4JuG0B8HxzwQPxAxTJceP4KJo2pJKJqdMZJQHD4orSz7UEWlUlRRgo/vvzL2B4+PX+n7TjWjtUa73TFdIKeCFcEM5shYkdF3Ht8f7J+fjH6gLC1NsnuwYuCV2hpaK6U2tFRiqSo3tQQpPQG9PjpqaTXrkuvl9EiiDensU6xiraEEfWRmpFnOGEKEXz8/kljUNvbpHMcBwJyWrhMTfvn+HTPj0Q/2MbFSeP/5Z97uGy6w3d95+/bOPibfHw/G3mGuzO6jM/tg9oHP5aqk+iRunyBzaTfqHJTa0tXSNmoNHpGZk0TOcJwUBLEEXzEdnQOmpaV+JMYSPgnP/V453TGf4rSM6rvq9+sCIf+oVBfAmF+IoKWgpWALhDwbFw9b8lzLi4nqkoLHsyFI69Xc7PrMnKa5PJzxIEMbNJuWkUDkq3LuBOWe3tDuzAyuSutOZ33wsxE5FY9mqcTI3KIXEGvJ/AJPXmWsRiXiKUs+LUQFQYNU40EqL/4rQcizIXl6bJs9m75XxeSrcvJV5Xj+/fXPfwtCxuqZ4vSZQZaa1D0zPvz055YEdU87niecGmcuhP4A9on7E4Q8X+PvKSJfj/e8//m6y3oP9AVEdUlp/qnQFJKFkgtGNlWugxiBi+PqlHl5uFx11VVX/RllDayyQsU7xCTUnwOtJLekbWbRinrBZbAfTt8H/bGj4kgRihZMg2KOVRiSAzdn0seDiMxVMNmwWmmbYRjHHvihDEmVQJEczp05jXMmkSk815PSUiGIBqUCEail5emYgxk7Y37S+wd97JgLyFiKg4l5BU1loZBrtJXMnfTu6GJjauFJ3MEX+agks1C0wPoSlAjFyH2BkMNUb7mRJwamAMlQjZmsxO8f3ymlULbKrVS2+xtla5nBRSorPvedPp3WguqF2/0b97c3RISPz0/mMSAMtUIpQm2T2ho//fxPiGb+hGA5kJ1OEWErBpE5ncf+WEDk5FiqxgiopdEa1Kr02RkelDmp1am1JRuVYCuBS9q/qAiz5rBWxCjNQMqaEK+miEUselq/5Pg4VaagrggVubbnV1111VV/SmWOL2CaQKQE84hUFkJef0/HGckhnWnLYeOK7si1wWGRfufIPCQ01QrhTmhJIvKZg+SpMszeO8lC9VYQSQZ+rMxFn2RnrbIGlRNcCR25VrjDzMFfWIJ6HqlCnAAe+Mx1bM6ZoNnpqAQZ80G6JaiyCMf5yrpHkn5QRnf6vhMq3G43nMEcvvIwkzB0PuapID17dVvzDxV9PldI6jD1tCcnYEWeuAZR0k6tFNJNimUbC4yItNGzRVS2ZXC0gEAW/UlO8vFJ9l3k8THGOheTWGitWO7pzvMgazKbgoY1gzhnPQKGsR97nm+fxDmcHZM+JipCrZXtfsckMyb3ZfUrtnp/EaQ03PK1/h0Dqauuuuqqq/6NVQqYeRqXe2Ydx1NdHwTGZKKeFqpogTHo+2DfB4/PgyJCvWVESdF0PDIlHW1UmJIEWh+AQqlKszvv94pgPPAVMwImGZGWMV+5Ro6jvwh9ZNmHO1qUWkuScEQoKsxjZ98/6Y9PHh/f6Y8Hw5Q5thS5hCPhWEnb9lxXnCKnsCgJsBrp5uDzyz3AzJCtUVpLLGNrWNuIFUUj01EPJAao0cRxyTxNsxT8xDhyPVfll8/vbO3Gdr/xtt14U6X1G0d/MN0Z4Xw+PjN7enSsbvz0l595f38HEX799Vcex57zhdZootyH07aN//C//keaGZ+PTwRjjiRFGUZd1un7x87n9w/60dP6/vF9OVFBrY3b/Y2qN449lktRZ/M3WktStRWo7YZoRuNFCNZOjCJB2bB0kEryWoKmgWb020mKkhSvAakqLQUp9f+k34j//69ryvEHpatpeP3SFXprVlPBFhkqu+Z0TyAvGYPxNxtOX4OoMzjeFzgpATPSUtTHCUKugPV13+fFy/3r8R1CTsvW+aUWlGVVEkuJ57kphidh/2Uzn1LpH6xI4flL9fzZ+Ze10ee3uYp8hfn+VtF43v8Ebn8PnPw9+9bzz6+Pd/7srMQdz2YvVo5kKiFjTNY79PUahCWh/xFYPMuWp/N5rJklyfO9/D0F5G9//gpCmlkOW60sRYhng/TixzJxdDFnzmxQQRgIro6s4bCVC4S86qqrrvozyqMTUpYttqwB1WLbC+vaDcWUOQrFFLQQY9AxDKWY0GqhtQLRyazkBJl8ZUh1P9WEthiHA+cADGSiBkWTaWk/OBLkXkHJoV+tjVoL7hMtQq3CmI6ZUCrMx2TMB9N3nINgrFFd5kR69MXsm3n0lq4OhqSy0QugdNKKRuVrPQxy3+Eo4YJooZR7KkVD8DO/abV7ZgnIuiu5HA4iJmpCKcb7zy3PtRnDYcwkVanYU0GAFkyh1MZ7/cb7/Z3b/Y3Pz08e+8SKsd3eKbUh1hl+kp/qYmHmsPf42JkzuL+9ca+VOQc9HHHP41WlA0/0WcBMqdXweWZ68HRyEHeOFU4vWFq1sfK2I50QipWcqEpa2JO9Ye7NXAixpzOFPX1yVi7opYS86qqrrvpTymqltsxrFtNlmZ7WrEAqEn2Rildv7afM8MW9xgNstfU+HSPdAnyMVD+aY6royX4XJ1BCcm3PdV7wZbn27G2ffu5fAFsqKJKIHJ6KPpflUBRKrDiP81hiHUM87VVf+/gku6TdWg4OT1vX2hqwVHs+Uk0xl2JSbD1H/t1Uf+hzXfyHXv7s58+KlE4keXmpQmIuYlPkcUvIyosk+1/j2QNPZylS40mI8phJvD4DKOcXYfmMK3lVbD77+WR24ctyXUyf6lEzW2TztL1VyfW7ivGY+1KJLjcsrWy3G0ffqVZot4rUintniub5Wn18TGfGAnplgb9//sf7qquuuup/6hr9waxKSMled9mER2S/pZrzcA1J1Z4Wok5iBGaf2c8uS9BWa4J8PlNVZ0uc40kWFQWJQpVAY+BjJ1OjnVoUl7qEJ3nBP6/5s/fsASNotdFaZbpjxajF8BmU1Q8+whnHzuw7MTrhI5WKbvg4k5ZXvyiOSuW23RCPPNytEr3wGCPj4BDa2cvLijQTcBUohXq7I6VmL7v3xCV84KKYT2w6USbZyidZW5tRS+EvYimcqYUjJn0OPGbaj88DD8WkYSpstxu3t5/4+ee/8P7+zvfvnzyOgyrCt5//QmmNehy4KlYKVje0GOrBDOevv3zH3Xl7f6fVltEsI3O38VSvpvlCOgiq5PxmqwX33GsZgE/GONJSfQAkrpFbB8VqzjzUlqVrWyQi1SRtWe7ZwrLH16fLpKbdvXu6VlzuhX+3LhDyD+q3AOSPYKR+WYSmvnE1KatxYF2zlvruzP2DH21Gwz1ZjEth6LJUGSvzUF5ALvezIfmyWtG8ouWAkBcgzGTZk+pSNuiKnFjHEQGhz+M5syG/XvvKmuBsjr5+/nt//uF+v2lEXlWMr0DkKzj5W1vUp/XrC2ipqowxfuc4VoYlp1r0S9EZvgDIZb/Kavhqs/Ue/dgSnODnqeI8n8tfWocfmjD3Hxqwr4zJLxFrHnsOR8tSgQJLpZn2MxHJqnyqRZdVT3420pvbR1rpXXXVVVdd9Y9X94PhRsQaygVLiXCu4SPzjIYzj8DqDSuFaoWihY6wtcrWWqrmRid8MufB9FQEzIC5rDq0OM5Bn2nlWaRSxKhVGW4r0jnW+h9rv7FcB5ay0uwcUc5kGY5jmRoovX/Sjw+mH0QMVH0pFFKlGOHPnCQ1yNxFYfhEfBDR6ePB5+f3bKi2xm27pyoigj6dx9GJMKCANEQaArTWFmEnkDkYUzANRErmHcYAEbaibLfG4b+kctPTbm6k/wlSCmR0I6WkrUkrG628UdsdEaOPVEnU1hDbEKsUCq3J05nieGSDoSg+BirC++1OP44cGHtgKmkHay+NmeceYLpnvqQ2VJVa04713LsRSi1tWfqkHYtZYc6xMrdBS6Ca7+PomaV15nmhrCyPst7zwKcwetD7Naq86qqrrvozarvdaFsOs7JP93QtihwcoZZKN89h1vCZCsXRKZLZvZKNZvZz8JWBuMiuaSGq0FJNGUCI4Nhatw0ryvCD8FQqSgSiqbpY1kXPHjKIp6IywVFI3eOyKEIXaJYKhblASHsy8VNdqS/AoQhLobfWMAlu9y3X39Hpo6IK27blMK0YKsFgMhfY13t/WpvqcocCmPOrh4XVW7vivm4v4GrLvYkcznowvef7oQrmabGqlsQc0WX/ts6B5Ewi7WUTHP2ak+Tfz/nKse/PXtt0AbWA1o1ab2gtjJk2ulZK5lkTSfBCMVNKbYQH+zEZ7qgprVZqLQwfbLVw2wwTGIcTVtDbPft3gdnH+mycAPKXy8ZVV1111VV/Th19px6KaCXEcNGM7ogU+szoaaGqBtqoW4pD5jaoJS1Qb9vGfduo1RjHnqQefLnXzLVsKVYLVQPmwf4ZzKNTSkO10Joxdv0CIE+3QkhgU9J10FSoC1zz0XPO23uqGk3pj0/68cnsO8RYLkoJphKTcMEHDCKt2cMY/ciZ8RjM3tkfD77/+gtC2tXe3m7c324g0Ofk++OTZP0Y1IqUhnhQS12RKQM3w6ZndmQEFg5loKpspXK/3Zj8K72PzD/2XCuRVHoigUlQyo3S8val3rnd76DK3jtThNv7O1YbVhtFjTaXa6EqvQ+ctH59HJ2ixvvbe/b4I+3uc7+Se7Oit7SldV+EsGDMjkijmFJbxqp4pHWsFUtrWlXGSKHP6diYbpJK1bRUFzP2ufLTUHzZN6hpkpsg95BrXnKMSzj09+pCM/6gSmvUrVFKyRwly03/DGf4xJZa4lRDEs7MAABEk0HYe1/Mvy8b0ZMBeQKQz+zB6YyYmRu5bFefINcJaD0vZidxMhZ7/ov9t6DHfJ6cjS0mfzL+IAdezGXVokux/mpDGicQGWkjo7Ks1pI1+l/aSb8CjMATrP179RVyL88G4rzf62OeP3tVT57nVPS0kxUkZhJIyWGixzyfKBWJtaRL2pM1uWTXpw3L76gy57JBfT3GV0XnqUA1s2W786VkeM3GfLWrpZTnY0zymOdpfbcysZ55lGa5AF12rFddddVVf0rto1NGqt18rXneMwdBBawo0xXTjnkweqR1Wji3rVLKO61JsuYkiUDDJ7EPPveJS27wrTSQyvRPallrpKfN9qBgYs/wePe0kCl2qvGFOQelCGJB9yOtZsbAz3zBCI4+Ofr+G8V+rpcJDn4NCeWpbgwej890c4nBsT94PB7s+47H4E2Ft/f3BPtE0eF8PoKIHA7OaYBBpHJQJbOT5nTGVGYUitpakx2lpRpUKmK5YdeiFD2zKoO9H9zu7+y944DVjTEmH3sqR2c8+OWX73gIt1o5+gI+tVDqG3M6jyP4/Dx4f38Dgvvbxrf3N1Tgl+8fzAUWm+TaXEwIvaGWRCefSULbj4P7vcFzqJz7QtPK/phUy8alV0c1rdn2/QEE1pJx6b4/B8zTOyOEwNLmnQQo05lCCDdEGiqXhctVV1111Z9Rml5tC3hbsSqALnXD8FxrQnL9nif4R6ysQFnEE16IwMFkYMUoJql46534/KROp922tCcNZ/Q1EEMRKbmGe2ZEJgkFBAMztBSkZF4VqsuuDawYai2jOZZtm3vajc7RmXOAB6UsJv7pGpT+QGkhrsttiUiFYTGOZeM6xoGpUiwdCkY/EvALQT3nE3M6MY5UmZxr4vrK/jkQX0TqkflMelqnqrKVgpswDuHoO9Mnx+OTUgq3+w13cAyGPgFcF0NKEpnyJSXBWDUVoZCRJozBMTp9/8D7wfF4LMKR09ptEZaUW9sY40DxtJY3IzSIEamemJPeQUxRKyszdFJb5f72DSvGHIO/lLSgN3GYA4mJOTTJ2cucSRIzLdysctSN1m4p07jqqquuuupPqzEOjm5M77nmLRciIUVrtRheLF0MLVWRUTL+6v1+p0jQilKKpesNQZ+deQzGo+eaZ4Vyu8MozMcD04Jozg6GB2YTF6WoEfPMpMx5rpkiJWfWSYrpPD5nEoPnTGdFd3okRnA8HrBckIoppjVnAmuOndbySqmFWjLCJcnDgo/Bx8evfP/4hY/PX5OA8+2dt2936rZhlurGz5nq/e6BTqdYrtPugpQkGjEnYQalUYsSozP3QApoa1hrYEYRodVKEWUcR+5NfPLztzeO3gkV2q3l/qp3bD/w/eD74zOJQLXyOQbVCloq2/tP9Dn4HMHn5yc/f/tGAf7p/o1vb3cE+M//6T8x+iCWmEckXZZYFrR9DuZMB4jPzwc//XRD5CtGr22Nt1pztqAF1CgtSUa3beOvv/wVAaoJyqQ/DpBUN45j4T5mWG0QBVdFUOZy1fJl43rV79cFQv5BbbcbtW2/yTdkAYqxFApPUt8TfAvk+X2eoKMnw/5UM575Bb6+2wnsrds87VWWXesSOz+fh2XTqrqsviReho887VskZD1/fs05l9Xcqa7IiIe0j9MntpgWYZqhtyuoHfK4k6F4th5/Wyco98zMfPn579mX/lZF+Pdu8/r9BP1OUM8XKxLPpgkgphAxkUjZOvolmc6GLt/Tsc7z87kXGMnLc9rL8ZzA4Wmr+gpCnsdXXpSUr6//zLF8BTGfTFWFzPpw+jybvrTXCWcNqP8+mHvVVVddddV/ffXR2Q8lkvuOIPSRa6RKpJUawlTnpmUpCSWtSArUUhAN+hy5WSdVj8e+s+8DLZXSNkQc953jSFuUWoRaaqoWJsSc7MeLwkBPNUQOTWtNpcZ+fKzMwVQPmmXWk9mXdXraxSs16lrrlhqCtvYmkuzMcw2Xky0KIJiVVP3VO6VYMiY/HwmizbQlSyqSIVHQKIAsC7dgOvjUpZa0pxNAaY2mwZw7v/z6oFjLvIZWEZzPz185jgeimsrTGYgVVMs6F0qooQilbqQbak0b1+nUrXK7f2N68Hg8qPeSdigxabWiUunHgzkjc67mzEGjllSjWA4eBYWSTd+sSelyF8bwBRArUnJNfmZ+R6peAhhzpvLFQWQy5o6IcIzMJXGMoOR7OzK/q9iW56M1VA5qOf59fxGuuuqqq/4HrVTXaaKMybBN5eNSGDrOXA5EY86vf8tbP/vw8LQTDV8zgFBqTfKJuPPoOzEUa20N83KoZ7WiwPC1xmiFOZmLhGxWF5K3QLfTtQdJtfxS1imnLVwy+yEJyyo5IEVzx4KcvbI8H8tKWb2/L/ekJC/1fhBzMGdfjjypKdTlnhQh2YNOz4ytOVb2zJp9nAThWikYMge9H5mZSQ6A5xyMGTBt5VcHHBOfR1rJWSo8Ipx+jGV5lioKKfmenW5SIpGcHkmiWGgeZ++D/eOD8fiOLYXkHJPj6Izh3IHb/Za51BJJItd8DBZwuB+dMSdWK0EwpqPacnZQCqVWRIU+Bu12T+v80VMxIoq0mi4KYwCp2BAxsAKlQb3lfuuqq6666qo/rXrv6SqHPZU1vQ+UwEXAJzGVopO6GSMC8bzumwatJpA250jNo2R82t53jrmj1WiNXLePHXewUiltueSUlZU4B5/HeLonpJglScpJbDbmnOyPj4z2WM4KmtZEmMK53tVSoRg3kuxazLBSUum5XndEZkWz4l4yDzNJRlYK23aj1kKthemTz8cHospwf2ZMBzlD9zUHmTlgYIYwUNySIOUiWNu43+5YwNh3/vXX72ipVFPut7SD/T4n/ThQE/pw+gIJ06VoRZss61JrjXBHSmF4ugfcSuP9Lz/hAY99J6oSpSTJqqbzUX88mCPf4zlHRqCUkiDtej/ECyKGmLHNwEVXDvbq/72gAR7Z47PG/kmAOt0dSCtcB++DALpPQjSDSKMkcDwKDaHWRqk1FZhifOzj3/+X4b+TukDIP6jtdmdr7QewKzermV905gmcCQ7ukR7LMwHIE6yMBUQ+7VcjVuLfUt2tPz9rqSH8DFVftmxw2nzGixKSbFaEVAOun7mTrD4PzCMBLV0qOj0xNoEzi0J0ZUvyzE9Ixd6XMjBiPkFIl1OO/GM9szP8K6fhv1Sv+ZG/tWA9H++3t/nBznYNADPGI9WjQgbSsqzP3GeqXE4wWfNCrksNIsvm9Xx/TnjVI344pifguQDH33vtTzBT40vlOOeXavX1nLzY0eZrzs+LzwStR7B8riFmel3PC4S86qqrrvpTytfmO9V5uYGNmoOp5dKGaariQg+czEoIyWEYEoTKc0Dmy2CgO8zpqPgKMncicvgl3DBSXVE0wbq0I/WlxnSkJvFHEWbMBYae+4jc1OYaaYimMjHdDmyt2cm8LMVSQSnCsS+V4so3Sjt2S5KRD1wClUqrt1Tz11RKDoex92x2hgP1qbJMDzowbO2BMjdyLrvW5Ejl8asoyMS9M7oz+2Tb8vlqyV2QqXEcRyobPAenimGx8jQXKLltwpiZkRnHZDhEGKKVokZp2VwKQXgqW/uEPpJ8lYlSmnZ8kooTETAttFowK5xZjx/fd6bDHAkuhitCsLUbouXclIHKE7RmvVfTO71/Eu4cw0EbWEFkSwpXKD06REmVKIJKQ2X79/9luOqqq676H7FEES1IpMtAkOug+MzhpLOszUc6C8yZ+caq4GmnGU8g0nEi84vTEDQzHk+r06K5FpwgnSpqNTOI5qRoy+GVD+YYqBZq3dLJSAWxBK1CMktyLbxEJGnZI3Ogvvrr9X2pN0/QMXnD8qXif95ankoR3NY+xp/7HJXsNZlJ4E1ib2ARpCesP58vW1p/OimJjSTRfn6merCUHDbMvoa78bRmDU+re5FYe5TcP/TRk3x0zjUkSdG+7FgzPkafIKQv0HSOwePzk3nsbMUwSXu00Ue+r2MQnuoWI4h84PxO0MdgjJ7vazHGHPQ50RLMCdVsvafBCOd9e0tgmWA8wEPSTs6cSR6nSWZLnkoSL/V3ZwdXXXXVVVf92ytUc41TWQCQsqk9iTAmgkkq9mPsjNnxwbLw9uy7VZOgy5rpr685Z7a7vog4MvHoMBwpgQZrvUo8QDwt3yHJOSdt1z0jScIHPjs+BxFQtK084zOCZc3hS8Us1X21FmrJ+fXH48h9yHJhVNEE26oua/ZU8bfbHSuVrRZC0tnhcRzp5jh9EZ5Az9F0SO45RHGcTio7xSql5XlSVUqrmEMfk+7gR6fcNrZ2o5YFppqx758ZcTKD0mS9trRINStYLdzijTGdum3IONWFBWtbrp21Ei3VjTEnWIKVwwMxW8rG3NOIKlYMMafUQimVUhuixgz4z7/+yowUac0x0o2pBNvtLUHShYdIkcx9FIiY6ZQ1J8djTwB5HLnWbxsajYiKy+RYmENboK22Stnav/Nvwn8/dYGQf1Bba2zb9gMQddYPdpwq62K1QCTJAHtHmNNP6eQzH5L4GlXJyVRcNi+Sn/pkM8zV9MS6SHLiWPH1Zw8ycVfWEWTzE06yCM8BqTsxSPaHSioczb4ElGtffIKIucHPXIQvq9QvgaCZft3ppV7Bwd/mRz6Voi/g26u16m+tTn97PM8A+d8oCEUywB5P8C5ItoITJ+k1GZ0nkKkr7/IF2Hx9b8/XcR4jpFXcaaP6ai9rZj8c51knw+X52t0ZjLXQZGn87f3OOrMts/FdKkqPZybmVVddddVV/2gVROsT3CLgdtsWCHnm+QXEJNiZkeqFE4gMEUxysysY/QicSm3GvaVlSNqmGFa2zB/MCRw+OlMKRRTVSrkJx5EWZcJSPiyrl94PIKht5UfOiVCe9uq6XAvc017VLIlNLjBiNUdOsv1CUSqqCbbFdHwqPk470Jo2tBJ8pbzDOCZ9OK0IiqHYQl0BIxWErH0CmXlhVjCFUhyJzJWq5c79P9z466//kgBopBNEVSOsEQbMQS2GWUNJtWLa0pLgbCkUFbRsNIUyYbrwyy+PBBBry72WAjLoPqAPJJRSNgTNY1okpCA45kQwbtt9ZTuCDNjudZ27gBCsbpS6USQfJ3O5Jh6T/Tgyd8xnZl31T/b9+8qnENCOxC3tdUpbqgljTueIjoeu9f7/tF+Iq6666qr/oepUqSfxY0WdzAHTEZJUGiLMZaOZa6pQtCCe9maxYk9Ot5zs31kOBZ+ghe22UbY7LsaMJCUnALpuHCBlQz2YrsuCtSClJfC3gDHM8rvoUi064es1RE4bWq1fpN8YrOlC9rtEMqgiSVaQ0TBi2f8GeVyoUC375xCSwAQrCmbk8UaSoVQlLWBzbPucP/hSbTAPoqdbgB8Ppk/MCzNOEq5z9J6E3xhrTzIpxRhTVo51oFqf5GA1e37FcpqQ57B2nVtOsDLnA2I5rL21CuG83+6M4WjJDLCx5imxLOJ9DgJdLkW+Br71qRYZ/UjlSXjuuzQB7QnLtSjznxDJPaQFGmt/6KlIQQtqa7+2RgByfh6vuuqqq676h0qLpctAyWstodzu21L1nzP3yGiQx54z2TMabc21pTVKTeLM2AeYUu83bve2hD5pvVm2e/ZvCDGdfhyEJNlI1bjf3xZglRbp6WQgjD7zZwRbbWytMkf2xGYVCFIQmU6G33/5BfPsMTElhoBmNmI6A4FYWVmKldE7I5KU6whaWjr+WZKmdZGYZp8co1NaWQRsS7FLgEoCncxJiOd6ut2IrWVsCgFzMkan3u78X253/vV/+/+mCtEUE6NawUtNEQ099xllS5KTWr4TSzhVW8MQSrvRNNfnEcFfPz6xUrFasNs9CcBjPnOWQ4R2v6fa01MgpZbD/tF3Qgvt/k5tG2PhCvf3b3gIw9MBqmwbpd6wsqVThqb7lMfk6D3B7JnktLF/sv/6nTkGPRytnTIHTVjuUfYkssXRYblrxOV88HfrAiH/oGpNu7DXjMA55xNoS0vWBRhp2rDB+vtzo/7KQcwSeCoi8/acni/EsuD0FTKfOUryBNQ4Qbk4BYya6gkEQ39AFH/P5vR8vKet6MttX+scgv0WoPsC1hSegvAf6xU4fL3P7wFuvwUCX21NX1WVp/3pCfq9ZiumQnUN/nrHQ5hrwfG5QFeXpRj97etcVjIv7++rber576e97A/2qb/5+Q/H7j++zrnCac9nF5EnCOkswPTFOie/kysjS17vnpmRV1111VVX/cMVqz0RjHDF56TUc0p0WpkvBYAdhGQDMafn4A4B3ZDQtHwzQyOVA3UN8tyTwRc6M3cgAvdBj4PACBWqfuU2q+SwD2D6pFgy/VKZnyBcs0p4sglzcLeARnVaPe3KVnbjWjJ8CmmPmqxJlYKgmfM0IwFKJwPvEdxO0k6ySdUEnVBLpVjmIgq6GKaZfRkE6tkMqKVVrciE6MvKNJUetRh/+fmfEIJqaV927J3j6NRlld4k1RozwFQYI21nZOTrErW1/pe0lDkmxzgIgtbS+mXGUl6wBq+aNmy1lmUxn4Du3g8CWVatudcawyEUs4Jq/lt4qk0jktVpllnhSnDMzhxHKj7GYMTB7J/0fQdJu5npnXkEXoxNb1hZexjKsr9LUHlpUa666qqrrvoHa/rM3slnrsU+iZEOBUXOtXchhSKw3BFqVQhlRnDSP5/EWUl3HdGnXC8JLZL2ri6p2EvA0kELtVS0NHwEWtKCtJgRWp92ZehSdeRiv6zU1xoskDcIainPHnVGOvfkbMDXGp+Eo3Q9yOHjGVXyRMDkzJUchA+MvJ2PwTg6EqCRFuW6jsHwBXwuMG+Bd+HC9FRCig/EJ7M7cx6ZbwnMsdOPg+kjAduibFsSlaaPdc4TSJR1PkS/5gN5+DkwSUOonGeYaoKytztT0vS8llxXb21bSomc0biP1bMr52wm1t6qlAX+rp+rGdVa2sCb0UdPC75aOY6+FC0jc79NUcu87VIq4yiMz0fmWptS24aXL1J7zo7+D/7gX3XVVVf9z1CprEHUcgY8nSany2AKQdwd8YlGR9ZeYC6liogyp6Ile14tBQPUDfXsX2NZfKvOZfM6CT+yb3TBalBKxXRLxaXk2gQpKipmSUAOT+3QAgBLqZjV1csDOMUm23Z7iobchUHmUntA6IpuKWXtM3SJn3h+j/W6Qk/xUdKHZwTqTt0atW5Y29DSKFqxUsAqrh1dDg8m2QOLz8yE7Il2NCtsrfIf/+P/svrqivfBcRwZiVIrVoywXEvzsTKrc7pjkURgs0ptFa0bJYTPfvDY03VKzbDW8DlyX4NADCQcA1prFEvs4xgHx74TCGOmDSxz0qfjQKm3VELONRQRy3O01mwrBur0cTD6Ix2qRofe6Z8fHI9PfEzK1pj9YPdJqHJvW+Z0YpnnrbbAR1lys6t+ry4Q8g/KrOYvqJ3DrmQTZg7geOZGhAghJ2qX/8vLjvwA00XSCtPCzZdKLxZIt4adPgZzzPyaE/F8fH96jrLul0CkVV3sjhdgkmTsn48tC7w8WY0SL//OYhC+DOp+q1Z8rVhKyh9/r86/xLmlTzXEedv428c561XNeD7f+XWqDV9Vh6/HdoKQZkapGz4HQ5URKaEm0oI25nofFhtWThbJswGQZ1OiWnJYSg4hE07+Ur6+HqNq2r3MMQk7LzXZNM2FGZ+vPxaIPE+gkhSQsJq5k8l5AsvCamR1AaUeuCRD46qrrrrqqn+8ilaK5uY77bBnBpkvPk/Il7reLK3IRHMNUV9q9XD60dECxSoiwTgO1q2QSPAqhjN9EvQccqIMDkKCycDMUgVpy06GDLZv7Q0x6OPg6AeqmTvgSy2flZtzlUoraaWSgfdLMbBWJ11WKyolQddQTBuBoXSmn7uXkUIKIYeYaziqRSn1TrWGSYUomBrFCi6GueMaWKS9WmY9OXMAEhQtmKRNaVqeZpMRLLeDtRYne9Myu2FMVDIPQ8UW+JfWrLXeCLeVMxGobZnvWDc8YN8fIELdbmgYs6+MLsucTYB4fEI4JgWfznEMdKlKzRqtZOalStrcn3b1R9+pHhStYJICGyZH3+n9Ab4T8yB8IAa1GP2YmZflO2odK2uIapWqGyWMMUaqTK+66qqrrvqHK8lAiswEH8MnMXMgiaWy3zQt1VxOp6DMVBIX0Ano6tMU05L2X1bS7my74SIcozMOJ8zSYs0yZzrt0pVaKiMK+EQMdJFhZgRWKghLOffsJon5o3MPEmjIIraeWYkJzD1Jruv2CEjOLSlWcl/zYh8va+4Qc+0XRJA5Gf3g8fmZLgQhFEmyj2ZAEmuz9AQw3T0f17Pf1TUpnXEw57HINcAcaMxUVRIUE7Zalo195P5iqUBD9Rl1E/jKrsrZxflqIwDLgazVSts2jtnx/mBfIGophdpaOkP4WJEsaXcfZy52QKmZpzWm89gPrFZqa9StgRbmzMzPQnCvxjhWjqY7pRTE8syXraUVfi18rJgXKUa73whtqOilgLzqqquu+hNLS0tFm5Uk3o6Oz5kAYwThKe6R2WnhEKknTDvyBfRF9n9WQEulSKH3nTkG7svlZzgiHfcUkqA5e3eU6Yu8ql9kFzNN1eWcvL/fKbVwHDtH3zOSpTSmT86sYIm1Pomx3d9yXfZJWsivNXD9uy6VvZNkXSlbzvhroA7oAHe0JJE61v5BSqGE0LYbtd6wtoEVSrHch1hJd8c5gYxgsyLImMwI8iYNiQRl65ZODsWMMTMOLUh1alFDizEJhk8MWarR7PFNUl3abrd0hAiIUtDqSfjZKmHweOQ5arcNV6V/OBpOqY371gDHPyYPn8gCOh+Pgz7Tet9K5X6vGILOnLtrSbLTOA4E0hZ+bb/CnePYGfuD6J2xJ4FKCGrZGL2zHx0vhTInVZbzU7ulchRDj56q3Kt+t64z8wcl1tJ6q+Qv5zMTUpbSThKcmnM+lQiQDmCnhWo9VWzkQG7OtFNhApNUO0Y2Qz4n4xjE6EQfmQMBuKyGY+1cNVjZQYL4Yj0SWPgaMiYIJ5nrjkUkk9IFSiSrUZfdnCzb1VMyHAtcOy3jXq1VVxj8mf10Dmpl/U8Q1FiZFU8p5Q8A429VleffT6CRde6e2YovVqznfV5tXc9/t5KDPDNdAF8wgT7Oc5j37QjmEENh5jmwUjLw1zJXa4yRUvboedEP/7rIO5TIwWwOlkFCMXIYe75eqwkcT08LuvVi0jZ32e1GZHd4No62rHIsxTKI5edGWAxed0Kv9uWqq6666s+oTb+xaTuFDNzeCpnnN3IoFbDvfQnSjTEcn56EltVwzD4oRTBKbvgjMIQ5VvYiqTBMK9GZ2VTihDjIaj5UGWgO0lpFNBUKWo19dNw7x3EkK0+C4+hAxaxQrKVKQZVNN7QqR+/s/cEYnZCllCTJRloUDYWZa1GijSdPSQgtwEA1G5+IwKegYlgxeg/CoVWllYJZKiLTgixQCerTqQCsKK6eBq4yGP3Bx77TtVNbIR47x+d3on03/QABAABJREFUYh5Mn2gI1YzkqHoCsP0gRgFXdFNutztWN5SK1Y3paTsXoWug6dw1eP/2DY+0jnGg3irVwMcnEYNWlHIrFAofx2RG4VZvzDmz4SiClEqxCiocx8iMTzPqVggmIxx3yfzH+eAYH+zHd0QGRQNq7p12PwgrmFQiCn0Cu/PWKiqVWjaqKEWNtytH4qqrrrrqTyktR0ZyjAndkZEDLJY6PxaRt1ZZ4GS6CaRduOLimG4rX0gZIxs3K0axW6oQTltWE7a3d0xmqubJ/GEtN+z2Rj8GhEIp6Ir5iAg6X72zLJVi+KRpI5v5NQKIYJDzgnRmmjnMNKOUsynPnhcAO1WeeV+mY0SCkw6PY9Afe5KjBfqx43NwHKnyMxG2eqNqOgNUqQk8jgl+wOjEyExpCShaqKKMMZnHQXgninHbGkWVIwJTW65PB9+XzftEeHs3Ng1COzOcqOkylba2aWeqYk+ngjEm6p2yFaxozizGjRmCryEzVlPZMQehii2gNyAJZ5GWcxFKqRVp8DgOjqV68ZFD6VAhihAVoqXSwk0ollZuvkDUKCVtfYcQrSUZu64s6FoJs6da5aqrrrrqqn+8tL5TWkthigpyB3zgI/vzOZzdO4InILZcB1N6OBkxgUFtGxkCkvFmqo1DgkT1stzBo2dutM1M/ZCCWq6t0welFLZbWouf8VyPI7Moj2PPn6lg0wmOJMvUjc1uFKvcvm2YZK7ix+cHx/EJpB24hlFqwSwjXhB9WrBSDLtVwg6iH8TsFEtZS87MoTSwTXBRphpWCm1rlJp9bjjUUFQqQwemSU1utaQrQJ3IDPrjk4/+4DE+2Frh82Pw+P5BP3Z6dEoYt7qhuvZYBI/HjiPIYWg1bm9v1NttWcremAIV5U2M6TlDF3Fub+85Uz92UOV+v1HW331MCsJbqUi78f14EAK3rRGe8wMlsYFmhaJwLIt98Zmzd9/xY8CEeRyMxwfjeLB/fhBjoASlFlQcl0G9G8Uasd0YAt9759v9Z7RtazaR52yrF9T29+o6M39QybivT6uWJSZ8+fevjEFYYFIkm5LFQvTzP09AKWQFyariwxPMmtlQ+JzEHPl39+cuNU799fnsIadLZ/5cXjSXcv6qB5xGrmroDMJYtqRLpcjKeuBLrShLPp5sf12vKZ7NTwbvfjEu4+U8AKCS1nRnpuKyozkt0c7zxm/vx5c16o/vwY/3eQUfT4D0CZSej2nJclx693X/8/FlAYyph8xQ+jMwV59/1uVdnaBrXr4iWHkhL6Diy/cnqCqywEZHl61aeBqu+rLhjZdmM+AJAp+n4/wIgT8H5L+JrbzqqquuuuofqNkV70KtSqmKGtQq2WBIMFYI/XTH+6SPgU9HliJPKcyR1iIaS1UhhlHw8pV1DAnc+cseItcqVhh62n3ebnfMjDFHknw8h4J9LACSHI6OkbmR4QI+0MhGIu3DticYF8s2PSRgpAowrT8tB6Tnuqfg6ohOnInHwOVzCTLSViblB0KxBD/NGpIvYNnF5x5F0/0t86XOdcvhtJIPPPcsZngEn49PPv76V+Y8AOcYhTfekJJNyPBUaQCMOdHeqTUB3OEsG7QNFWVGWtWlQeqZm+UrS9kotRJxoFaRCOYcxBgQwXa74S6pahChtbTWSat2WarXJBV5TN5/+glBGD557Ad7P+jjIHBKrancxIlIMHYAqg244XFDvC1CmK39ZeTg1Wc6X1x11VVXXfUP15kByLq+iqeSTyTBx5gwo681Nm0+wxfQdEyO/UBry+FZkPl+pWC1LAAy+0szS5KPpq2pxkxr85XNOJx0IiipLiilgMrTSjVWDIhHJCA5M0tZqlBqrkXhE18EZtEkEQNwOiYtV6ZYfz4tTNN2fUJMbClDYnZG75lpNdMiLjwt58OT1Gxq1KI52I3lCuRnVnauiT4PRu+p+kMokhnOOcdIZwGJtF9L8Bd8On1MQhTXsgZ3usg/lvmVy95ULAlaqiXVoQOgE5H7A9MEEO39LQlMe6PAc880fdLnSJJUKZnd5JPhuQ+xxnqt+Z7creCSdnkswNIlh5ClpfNB2dozjgVkZWhljmRa9QlW02a91BtYWsifIPElh7zqqquu+nNquDBdqbXSqqEChcYc+7ILHwgrImX05Wq4Mn6tpHrOA/okZFLRVLGJYrUtIm8KV9z9xcGORQLK3GRdQ9z72z3zjsfASknCz+OT/SQTAxLC8CP3EOE5a7aKWsWkUFrDgebpzuQ+l/hJSGuild+olsepQGQmppaC1UrMJAoJZ3ycrBxnobaWRKhSQZMcI5HuPCGRXCkS1DVdoidOrGO5RLljRRk++f79V/71n/+Fse+ET3rfifiJujVcUg3q4YTkjGPvHRsj7U49HZSsbYjp2gMl2UuB1jbcnY/eEQ1a24hjT9eoCPw4mH0gCO/3Oy7QamV60MJzv7Z6+RyOTHwGPZzb+30pYTvHZ1rJ9n5A+LLQr8h0KCMdM5ogrSLtjrc70e5E2ZBS137hRGRyHnTV79cFQv5BPbMf9Et992rL+bwdCTidIJi+WoqKkILm1RREpHxbhJCVLTk73idzjGQVumc+5Lr9M4j9+bRfk8xTTXdClC6n9ShPoFJcmZrMx/RgzcHYeTHRZQMaLItTNUwz6yJl5l/ZlmnHmuKN19xHzsdauY76BP8WqMnL7X6jbOQ8Ny/ff/vvrxatr+/BnBlIO8b4Ak3PsxTxPI54sXeFBQZKBgZ/5U7y43FbDljTGzWeqtfMAs1n8pfsSF0qzdMGR+XLava07I2lFnkqOtd5c18yS9Z79PIev563q6666qqr/pzqj2DUtNU2LZgFIstRgEHEzMEckTbsHk/CyhngrkQqFSK/RFPd0GrJdZhlKeaOB4zuTzswWQPLHNxl1mISVQQrjYiDOfM+Hpm5oJo5hrlNOHOeg6oCasxJOhqIYVpzvQcwR6UsS1Nj+ZglEEnapqIncGbMXPlzKTrJRaIUDJHMP4BUEAC5bunL+l6We4KtzMjI7MnhM49fgn3vfHx8MCOoNa1sg+DoIw1Jn2ueLEbpzK+ZQOnoHWdwvwmlbPRxrs/K7f3GfjzwcG63O0LQ+0EthlkDh350fDhgtJqKEyuVOQbT4+lskHuOBDzLatq2W0vCV4fo2eDl+wMqTrXMwBo9SUbbfctcj2FIFFq70+pP+MyGay7rm1MFc9VVV1111T9e4ZEuMiehdpUsi1VfdmlzDmor9H1wjM4cnhlH+06xhqhQS+V2u9G2hhZjd8+1HdKy1HKNDWCGPK1u4uUaX1busZk9QUhfRNWz908LNhje0zBhnJEkC1DVzCc+sxohSc+yiEMnuSn3IMLsE/cBM0lVSXg+iDmWRVpajqfsz6FUTJVqhVp0Ofg4o891jIPpndEPjqVGiEWyndERcl3rY8dnYfQdX/alakmamv2gDydKoyIcu2F6SyvcRQQOVXz19ro6Zkkq0xou57mXolgtOSyck74/mDNjc8YYzHDqVhPYPGcxMfJcjEErLWcgItSW+wArlWNZ0Kkq9bZRWgNTbpr2+ck2z1zO5zyDyM9BXYnjpTDPwQnX2n7VVVdd9WfWYzh1BpvYyjckicE4Pg40wCTVgvsYCSKqJFhXkuBiyxlIrTyt1tWMTbenKORrffZlIV6wassVQRFTdLkoOp7Wo0WRDmNGuil59rtqmoSYkY6IyKRMp64e0COtV0ttCy9IC/Yx0lJVbeVQ64oak3Q5FFPClFIUn0p0XfuGdDs6hVJqJUmwaktalF9Pi3cVTHiCkJzP4TDnoM9B7ztagn1/8Ndff2WMkYpBCu7OY9+TlNxS1JPZkMZ0px8HvXVchBE77J37e1Daje5BX0So+7c3jiMzGt/e0qK27zvFCkXSzv5Y83lEuL/dERVKqfQ5FsBLzhdiEgTFlFYNq4VvP72DZOTN8JGOipLODbIFGjD2g7HvqAlv3+64CVMrWhvl/Z369hdGctsY09c5zszOq36/rjPzB3WCXblfzQZiPi1QfgNGRlqpnJtQM/vBbvQEnSDViCHOjMAXE3H2jo8B01e+4wIgSdWinjBhzvny57o8qRe45RHJ8ARC00oOFzSClWeLriDI3LxDzMAJ1BJEsxcA9XzOWKxM/AvU8xmnQ0we3wkWrtd6MvmfAOffYfb/DaD7G/Dx/PNvlZAnoHiCkPu+P0HIOXNQ6e6ryUtP7tP2BrIpTXbombEYnLkdT5WirODfBUIzEiiepKWNQGZ8eb5XLnmu05ZOV5O4wEy1VEPGyhB9VVNGHs+cuTj5SsI4z/2Zl3VRJ6+66qqr/rzy2YjZUFKVFpFklhBn+kHERDQHdmNMzAq1NmppyyWhZN7hWpWFDCVXFUorDB+MeYKXafkdTFQLxdLKVMUQjCJ3+pHWoaUWCMEnFLsRNa//raUzw5gjMxJQhAIoEUqEMLqvQPpU4yUImZtvkYJQCOwZ7XTazOfwNPcGHpl7OGdn+ERCM7hdC/NICzsPYcZiSEoyOtP3IV0WmLk/OWanSGCSJumZdRxMDx572tLc73fe3zbCBx+f33M998n97RtVdTnmlFybRVKZGpNjNXSlDJBK5tCnJWwqMfI4LWzle+Z7lA4Hg5nzVERy0GmlZH5FOKgw5qRIZmvOmXuIbSu01ugx0h2BuWzUE3wmCkpgEvSZ2SB08MJSnpbMIa2NWivf92yIZzi2rPGn/xc+tFddddVVV/3X1yRzlDjdi1YUiUqu7x5oKEUKpVQ+Pz95fP/MOJO1ts9wijZs29CtMk0ZEYw1MAySBIQaoRXVmn3gAtN4IZ7ym5729yJLxNLGXCz/rftkeJKihBzqwXJeerrr6Frb5KmQeL7mHpkXdbr6MJlzR8bgVi33EavXnyPzoc/Hnv2rJ4X5BYTOlQk5O+FpSxcOo3dGH8/Yln48mKPjPrhtjW27IZG2tzEn6ETC8Xmgens6J2mQc42YjD33TbbsWMXnIoAFHoOjT2Q6Y9/ZPz8Y++MJ9512eKIFtUothbtmFvVECE0lh890IbCtUc1orS3HhYmY0tqGtZoduggy87Phi2Am6zPFcm6Q5Dozz17+HO5eddVVV131p9WUwpRCWCW0MBmYKma2olHSpSfjOQZWKq1t3G5vtG3DWqMPX8Sd01morPmtM2dnjiOzBCWJRIUV19Ea1hKwRJW23dnHYI5BKYasvMi23XMeHc62bXlsc/Lrx0cSgzWVlyGaluIjgUMthWp33Mfqgecz2zjBynT4K5oOAmmf6sxhxDTCLGfXMy1mrVbMjN4HTro8WqSFkQJjHPk8+JrnLwva0SlAQZg+iEjXBHfn8Xgw5uD92zd+ekvS73/+z//CfiQI+W17Z2uN0qBPGNl4J57SO90dDMrWM5MyhHBnypfpYyDL3Skt2rUU1HXN5YWBPEHY2gq1VjiCoytHTyeM6QOfkeDyZmy3bUXjAJLxMaVVAIxbCpDGxI9g+sFwp44gxMAMKy1nQq3x+P65qNudIqm8HNdy/3frAiH/oJJB11cgbf6inSz8uRRwcNqeACFPMFDlCzwS9ItFQNqpHLEnKOW+Lg4zN+Me2AIbRRLggxw1nriccoKEIKeWTuK58U2QK0eiCOdIMF9TZKi9z2CO+SK6+2qETuAwHwzwlWG4lHoqQsjM2/wm4/EVbD3PjTyPh7/5eSoQf1/1+HuAZNqqfT3G+f28CJ0g5AlSquoPx/lUUI44uZTPn59Kx7R+S8D1PNeZRbGaxt5zkPr6OokFbLIyQB0tyXTV1fyiX2zSUwV7Apgzlg3PsnxLZe1SQ/oXIH7ZtF111VVX/TlVyjdavdFqRdWXIqIj4hy9c/QD97Rpq6UlO15LAkm2UevGEIdIIFDUnioIedqQ+rNxCYRS27I0bcuqw8B12bUcy/oTPj933McCHu8gQVnKSSs1wS0MFaVoBfRp05KODPFsUCJmDhWXUpFIBUiyIkset+ZwdvpE/Cun2aSkcpMcVIro2ussMhLk/cg9Qq6e/ly7ci80mdHBJ1KUe7lzTCcEiiYjsVZb2ZN5Hk0Ly56A1ip+rFysON3pA1Baa4vNKRQtiKb1bT8mtd5wd47jAIJSN5AEQMM1wVgaEZN+zFS0MomAWlqqQ/nbPc3wHHo6wfQ1kNT1vocy50AEjEKVLQHTx6Rsla3eENvS/meMJD5N6LMzIzMhx7zW+auuuuqqP6UmaF19ZdGMYSYoCsFcVuW5tn3uDx77zudi2t+3StGCaYJSUoxjpKVbiGDtTikVl2XvLRUtG2oNFwUMWYoDWA45a03JTKpUB+iy/TwdfBxwcwx7goxLnJAtv5weC+ccAEAym1GEOF0Jzh5dBCu2lPY5y/A50fAE9jwBSFkLbEm7I/qR6kURoZaEZHM/MdZQdNnczpFOTGPSHwfHkXap2+1GMBnHIx+nFkwCfHJrBSuGi9GKrWzFldU5OgxDlnX7ScY2S4DSBVxJJcjoOdT0XJuHO1oqtRZUhf1DGJHWezNyDqOyomJWdMucmSUdyWTC51h7QUnFieX7Fx4rbmWl4TwfJ+cNakrMDhqga4A5c3A8Zea85Vrer7rqqqv+tGpvP7G932j3O2aCd2f4QDwYfdD7wRyD3nuCjqUmCdgMq43tdkenZw+41JBq2Vcik+iyYkd4rr+1pXWqtvbMZgyEEc6+92em9P544HPSasWKAUFZ8+GIJMIkSblQSiMt3mP15PrVcxP4XOs0sWLVVgQYS92ollwo9EkodtdlubqUmWrLhnadvGcvnyqn0/lQJEk+ADMC0wQGj3Hgs2PFeP/pjTEPpr8hZOZi3ba0X7ey9h1luUoqrTZ0BuZfdJwkK+X5FNV13i1JSsDRB6XdIPK5wSnblnumMQgzKIWoE4+0XldXxHN/le/3Aho9nuCqkCThvh8ZlRdpX6/F8OnMGcw+iXkqZDemDz6PSSuVrd0o2x1VW4BzSYB1LDKTGf0pdLrqt3WBkH9Qczq9D8y+GIvu82kJelbmEZ5sRJKZN3OnaXZahC5QTYUwgfjMC4QvifWyMZHwJ0tSY/3SrMZjpRimLYks7YWkxPgE+mC1JU9l9ZfEmnUcJ9jlM5gk+GVanky911ufSr0lB81sqaXcOy8hJ5h4MjiJL7DvBCWfZ+EFXDzP3att6uv33972vP/vVUCyHOb53nw9prw87tf7lYyYeFGvRsQCOeML8LW836ls9YhkSy5Q0FRTuehfCkokPzuovICQQGTeRMwEIeec63ymUjXZJglMPhWQJ/n05VxdddVVV131j9dW32ntTi0F0QMfZ9i8J7DXNkTKypl4e+4J9sdi/0cj3FApmFZUKiKa9iMK1ILahnt/rkullJWpWBFsLa3CfnTGcN7eboQHHx8flJKDTzNF9GsxMC3Ums2JYAkURgbKywnU4UyfjNkZM63SMqDeMCObHlLNYec6719r6PRAV2i9LHL/nEGxusg0eZ+53BvqVnHNfEh/Kj7ymI/e6fuvzONBUajNePSRxB6Fz8dn2pYqtG3jVt6prXLMQZ+TUm7rfAnTg8XdQU0prT2bNClpjztxSqnPZqCWjcDxORAra9+lIDXt+EIZw0GcaTkorm1jE+Xz8zMbzlrTinWRiWQNIlMhUVMBMib74wPvnVClWaGVdD4oVZFS0+pHbA2eK7U0Rg/GPlOxw9/ue6666qqrrvq3lYagLAt0WJbZaT8a7sSyRzeD//Qv/8zjsTN80tqN2jZqKfiIBKsi6GOAJKGIUpFtwwJGHKAFKxtqNZn7qklcWiCjshx3OGNAvnrMUy0pp7oReQKAtkCwp+pxoVke8yWqZf07Di6IrUHlk2BM9qyeIGzMSVXFhKcSMCNZlG8//8wYg8/PTz73/XlMpqRDQt/xsTP6wZwDM4iZKsoxOixwM2KuecXX/AJ32q2xvb0xPNhHDlwdmH18qR5UqSLpEGB5XLZey9ScY0zJXKdY8xarlbKlbV7dNurKno7jQEuj3W4rp9NzMA2Z8VjqD8TnOSccO6o1AeRY8SuSGZ+BvBC7dA1lFpC8BsM5IE7i8ZzOlHkpIa+66qqr/uR6++kvvL3daLcN88GcnfDALK2xa2uL7FpotzuzO4/j4NfPT46AEYLUhppiWhGriBXQdCiXUrFa8bEn8BVBbduyRW2IlXTJC+Gx7/QxeX97Z3rw/eMDM2NrSWiCnNsTue7fbvflumfLGUlXj5tWoEIwZgKpvfdlO3q6F6WqT0Rxn8yZcSSx+v/pcwGaaVeOWvb3EZRSX5wFZYlgnNv9RgaxZU8sa68h4ewfH3z8+iv98UFBaMU4es9+1rJfPvYHRZW3tztW8tzPSLFVuSllCXxmONMlgT8zamvPNVTNEIPpQaktCV5AqUlqmvMAy3m6i0IpyJyL0DuR5VpoVmi3dFf49ft3EPIz0FqqVAWKGQOniNC2zIw+9oN/+d//lXEMiihNK9ste397U8rWKKVRSsm87q2xWWM/Bp+PzpjOM7vuqt+tC4T8gzqtV181fK/A2HxBuP2FuS5yDgMdt2wydDU5RP6iQxDrQulzEj5hqSXy0RcYSUrIT9GerQ90kHJkWyCZk02FLK+WtDBZt7f0JU4Q9KvBSevWBC9jBi4TV31anCo8/ZTTPztgOjOAMpNJ6MH0bMj0xUoGFpAYK7S3lK9zE3+br3kCkU/Qbj3WeftXdePfBycFOXMX4wUAVaUsEPF5wT2BUXm1Oo2nHetTIemOS0rHVdI/XKejL0pOVmOLaAKI7sm2lTNTVJetTYKMYidzUp9KSEUZMxmmCUJrHsMCe38LfF911VVXXfWPVStvFN3w6Zik0cgYHRPDbMsNbhzUUnl7e+fx2Pn1lwf73tma4uMgIm03Wm3cbjdUylPZrlLRcuYnTcLHylwui/iTuY5pIe7c7m8r+7Bzu22c+cKlGqrx1YCof60TMZkeVK1srSJq9NHTakWSUDPGzhyT+1/eUr25nAB8bdKtSA4zyQ26O8hMS5LcLwg+J713Qi3BOFNinoQfSfZgpHuDmeDMdJOYM4/F156qd0RvsJoQRJnheHdKSb2liaBu2eTNzJUYR0ck7Wt1DXUhmy+xzI4KDxDNfMkwTDVVGomIoqLMGbgr4QUkGbFFgn080JJkLDSzPY/e6S850NWz4QtgxGREIFpJm9unUT63251NlapQNJUUhzjdg9LeKPWN3uE4jrXPUazIIrMqUi4Q8qqrrrrqz6hmjVa2Rb5dJNBlFfo4dorAvTYejw96TyV8azfe398XSaQDwtEHqKLFqNuNut0p9zdi5R+WW+ZIhVbq7R2Zy5585TMK2WvnEHGRdU+bzkWO5aVPfQKNHqy4o5wRiOA+MDOaNfBcm8cY2V9G9rSZ9RwLQFuWpJIZiOGTYoL5kvSF4zP3ALdty4GgCG1lVfaeZKbjOJjjoB8P+vGA2VFgxoSR5/Xp/hOCqSEE72/vScySfCy1guwHZbtxv1UmCUKOMXM4GE4cneFBDae0hobAPHOhRxJ6w3HP12a1ZN4zaQk7T9KwKKVt1G2j3e75PHNCKahPPDKncist9zgj/82n47PnfsvTLl1EEoRWW2DmmV9ZUmFrykp3pmwT8eWyZIUxZZGXoV/t/FVXXXXVn1L395/Y7lua3rkg1pizY1pot7cUEI2Ddn/nn/7yT/z66we/fP/gY++EFsIye1kL3GyjtjtqBWciVSk4tW3McWOOPW3IEYrWJCOppbBnOerd3+5YVWbv3LdtRTQLrRaE7OXdOzENcEQK+OmWxHL4UXrv7MfnM7rt4/svzDn5j//r/8rWKiM8nXdMMbWMYAlHBUqtuAm7fDn6zRkcx8H+2Lnd7k9ybcyvObxakqNVkghEOD4Go3f2/WCMwbEfHHPC/ZZ7qcjeeLoz1/opYkkGEuF+f2P65OPjgz4DsYrVgpa2sp/XXKFWtNjaqyhWLUm7IgsWjSSGF2NExqBFMWzbsNpSyDV3as1e3mql1MK+7/QlIktIJfcVMpWpiWtYKdRqIIpowWrj1u5ULRSxRWSDKIkL3N/e2N6/sbuzf37HbonZ1CJPZ40+LhDy79UFQv5BncDPa05DvDQMPyjTHJ7A1WIUiAjpiOYrKyJl1HHmSk7PId5qRIgvBZ6cikdOJV9uar9UlfndF5vitGXxyOyp/CVaYJe8ZGGIrvvGl2Jx+rI1kbXpdlwzb+r12MIDsdVIOUuZIV+PJSzlw3ousgFR/QIUT/DwPK8nkPuq8Ps9FeRvVYCvlq2nQlHix9s9sy1/83jP3AZ5Od/nOYEfQMhUK/wIrsbzv5djsQQZQ9dFcoGPz9cQL7clweB8gnXupqMrkzIt9U7Zv6Ra8nfOwVVXXXXVVf/2SpJIQTUD7HFDtKIkQ06Yy1Ag8JkZjbm+pSVrhBFeCAo+C6OnzdcEtlpy4BcOYYh3wiXt0kVxFjFlpH1oLtc5nFSbWNFl3eJEdDzALFWGHiNZi5LB7aYFtSQKiU7UnOiD6R0kmZxmJfOvOBbbUAiPVEkuqzgzxZqiYcThP6jwEQcmIkaEr9xLW0DpuUax2JSLNxX52laPshSAktlOeQ/CM2tTwilPxWfev5aKWODe6ftal4W8v7VUErYN1QYY7mnZKihGycdf1ulnlsT0jlDSdQdFJRB17q0xPe1RS1mZ2gSl3DmOPQHJPtMdQXSxPwulGlMcM6VqYfvpZ4oKJlACJPKzFct23/3BcTgzDJEbY+z5uSOZpCqKlatxueqqq676M8q0prpBHGHinplG08/+03nsn4wx0hXhdk/yrBYUQcUyR6qmM0BpjdpyiHZMT7vQU8VQKmglJNdb4SvX8RzUIanEeyXk/pZYG5HW6EqqF7OfBJZ7UtFljeoZ5eIrImYcfdmgGeF97Q80bzs7fRzM/cE8dhh9WbYtkk1LNeB055dff0lLNLNUEpQkaD0+03Y1FvknzQwcRroCmECcVvTkClyqrezo3EupZp7047GjE7Y3o9QNF13zjpXEGYFGwJj08bHMGvxJ3HKfaElXgdYq2+0GkX37x/dY+dCCloqRBJ+//voBSxVSSqOVPLf7PBARxklKfrpCCX0ssvipyCyGlkrauWu+7+c8QjVt79wJiaW6NYafoPP/4R/3q6666qr/qapYpdSNIk6MADOwRkYIB1K2bB9Nl5tO9oRqJVWPajgKKCOEw8EEHKVoI8QJH4SuXvgJiqUi/ukwuLCA8InPnJe3ZhQri+iTpB2DFAx5rmOsQ9blTKACRdaM3yezH2g4Wy2EGUVStHLiBD6TACRMRNIVoFiCe9O/xFAQFFOG6TpOf6okbTk0pFNgJEk4Tit4ZzzPG1+OPqVQWEClO7VVmEqpJe1b81morVKoTKB/HiejCrMEHqUWttuG1Q0pNdWNopnlLQaxolI4iVgZw4ZVrIFpAp5p235jzp53r1uSwk3Z7m/s+4N93xmfn+hxIKr0mFgptO1G5oEmsPwf/pf/iKFoKDLTOSIi6H7kPuqvv/B59CQzbY3x+M5cFvzVCmJGHRfU9vfqOjN/UGdG4GlheirfXgHIZ/ZgCL8FwICnlYpqbrxPy8+xWIuvasCzBdHza1mYnBvhE3iU88ay9HvytbEVOdmPsqTASy1xMiHUlm3oCWoty1eNpzrP5mQKuDqsmNVkaS5A8jzSE/yMvMyIal7kZT3kUkcmEKnPL/hSkf5WDXnWq0XqqYI8lam/zWf6/bD3PM5XIPBVfSmyrHleQEgRnkrIiDNTcuVBvAKi50sXEmx8Ar0J1J5n7amUhBw8L0bk+Z6uZ85jeFFNilkObXNM/QU9/6ZJveqqq6666t9eVgu1lgR9BKZnpqBpKupUnIi0+Ezgy2nthqmytTdENnwUVBqmd4SGUNZoqixi0XwOq5BUBcSUdY1PQk9Ekno8OvhANCg1LVeP46CPgapQaw4T55icmcZP6y+ZRPQcuJJgpI+e4JiducRLkSmZYRlr3Y7ItbUHjFjwYP9yJyhlqTcNYkyCCRLUumGWFnXDA2Zatp77kojAJ2goHka1ip3WZzlSBCZ4hUi7WC1LpRBQSl3KEEvVgytxZmPE6RSQwK7IubKmRS2iqLNaKkCyeTpdK9Q0wWYGQtrDff/4vjI1jOM4Mk9jHbv7RARiAgTHY7BtFTHFez5r2RqtFCCztvDBHJPRB2OMtWVKMHO4oGUSXtfnp1GtUEzp/QIhr7rqqqv+jDJyCDg8VY5CDtHcHSuFmJ19/8Snc9tuUJeTEEZ4AlmtNqxWtKyB5QxmH8xa0i60VETy3xBjzqQSB+e1PNcsXb3hSQw+++kxxsp/kmWHPvExc5ioylZTmThHZ/gBkaqLk9ScGY25RorpM6coli5PCeboHI9P5uOTmB31jCQ5+mkvmyBkn5P9OCi1UuuWNueSVqgNZ/RFcC4KcyTRRkaOEVyQ3B6kgnKOzIQSwFPluG0b04MR4MvRgGVRLpqZTHa6NxHM4+A4UoExfCIkiOvu3L+9U5/7OEsnJxPa/cb+ub8Qnh0/Bq75WlQLpba8nylMy4gWWFmQYGtuMv2cmepSlFREC6FrEKuWew/JgWZEqkBzBrOo2nPNjvKjcNVVV1111Z9UpRRarRRJlZr3DW9JAkEFHQMXXTPdBJlu9ztlg+3tG1pvOIbURt1uqdArNefEZgk8qqEYhCLS1yxaGJ5r+HR5zsB9dmZMiiq1FLZW+Pz4Th8dQWilJNg3Rg4B1hRbRGAaMRTblJI3IkZHTbnfGjFnzih8rPUlZ89WCsxJnwcuECV7+eGp8jNrbFt9HtP+2ImlotxqoSzr8sMHw5MElWPnk/jj6xhzv1NFKaUgtmLEPJjbBnPSakFJkvMZZ2KlEKq4lNwbqSzxEjnD0IW+as7UQ3Jmkg5FIJFzdll518T6s2nuuzzB0m1r/PrrLzm3qI3j2HGpuEYSrtfMwsOJAR/7zv2toBUYQVMoW+X9reV8pk/m0RmLxDVm2s0HsH98J1SwcQOrUCrabk+r1ox4u+r36gIh/6BO4CviVExIshbiR1vQE9Q6wbjTDhT4AuiW7WfakZ2+zj2ZDHKCYLHArBcAT1Z4apy/rF+A1NIc5sDvfMJl+SLCU3ERJ1j5bHpegLZIsEstsyd8zhyWxQrFNZ42MbFUe5y2sS/qwj9S6P1WOXpKw19//mq9et7H3Z9g7SsI+Vt16pm38XvHEWez9vL8KnrilF/KSM5jOFUbeVFMsDJZL/EELb9UlifQen5mxDN76nwtcw1U5TzWOK+5eRElEqx+ZoE8z23a3cpTSZoZlFddddVVV/3jVaukBWi1Rdy5p72WAlKZAshAJHONSnG2didqoZY7Pg2PguoN0/YFQpoiroimLUrIxEonYqyvRb7xQGMxEnUQcTA9MJEn+WfMT8boz+ZJBDxGKiqA0y/Bw+lT0XIjxBEdmDlWAEk7t3PjT3jahQC61JWHH8t+duUreioi1bIRO8UcR++LABVrf5F5SXMInuyltQGJVH46qBRUnWqFagLihCWAqFFQXcBdUUqVZ6ZkROZ5qOX+fo7MZfKZHFRXh+PATJaStHztDeJcK1/IOxGpTBGBGMwIInLP1SjgRiC4Gj6FOZXHZw6Hb7c3ymrq5nRiKLd6xyzZnbjk8FEF/KnBpPvgGI+nM0SpDfGgPw6O/RORSUZ1GFqS+HSqQa+66qqrrvrHKmaST3zlGocEdWtEKBqdvicBJyK4lS3V+2Mm097zWlxb2oaxMoHHnHgIti0lhaUtdxKOhD5ziIfMzKRUFos+bVRPwPHs947Fyj8zh32m4jEiMvvIk946e2ccnVxkTmKwY5HxK14KrVSs1KTXzJl5lTPdEeI4oHc0R65Md/a+4xFsQGmVMGj3G6BM0s1gBungoJYqhVooVfPVTsduqViM6bCIR4LA8QmS5Gs8bVVL3ahLTTgCPh+dz/3AagPLjGoVTRvzY+fj8zOzmVUyO6oWailoq9gaSKrpil8SwiVJYPueOdbYcw5S25bqjaWgxCyHiGHgkXMJTsAwiDkyT7vWtFodk5CBhiEFtCq2LOUAxjjSUk6F9MgAItjHkfmc//4f/6uuuuqq/6HLzJIwm9JzZE5mh1qUGBWbjmjNeIwS1Fq5v70RGOX2lsCYVLRtlO1O2W5YSWvQJJ9EkpJtEKXBHGt9nrjnNmGN1ykyV9yaI6q4NFyC8fhk9CNpsrcNW+uzqhCz5wvJ9pHugyqRyskYmCQ5WkXoDMRHMn0k3YNMoKqlw8P+YMTAl61p+ik0iqWSXw3ChMfo2cOrwnr+IBhjrt5YCCW/T5gTVCrFHL01qiqCoyXBvzlKRq9pRrCZCb7vT/KNmFJKpW3Qh2cOtS+rcw8e+476chBKXlK6DKgt8amkOEclwUe3hWFAnHgCwlYqYYWJ0EUZokxRPh4dUeP29hOlFmTt40Yotd2zNxddxLEUBBEDFyeYDO/s+wMk3R3areER/Lp/8vnrTrndKXKn0GimmAl2jez/bl0g5B/UlwovXlR8qQx8BaEIclgnJ1PgzCBKZsCr0m+MzjiOVBP4Ui3KuXkGU0n7F1aWkJzKxxdN3MvPTpDzzA48b5fH/HuA6Nf3Z5j9iYVFPNkMoY67PNWbeccTkBRM9QucW0zD37OTOc+hqSTT8+V2v7VUhS8L3PPrVEGeCsYzr/JvX8+Pdqw/qAdfbnfex8PXRYxn0/fb45bX8/wElxeIuRrIsjIsT/D4ZD1o6I/Aq38dgywgd/0gz+uMVGo8AdYFhvIFuJplgO5VV1111VV/RqWqT7BUDNIYI1Lxx8TEFwg5gL7IKZbWbhg+wX2RkVxw0gZdtObgMSSD4xeLMhjJkFyB8aei3vTMqRrJxg9Ze4kD94OIQUY35dom6pnjHJ6ZS2bkuj/Zj7mUgj2bA3HGHBx9IuWOSiFiZRybrCbKmb6vpqYuW/C0aevD8Ui7t9k7LPuWCKf3lVVFYfaSQ11djU9AhCMuFKuYKa1AMTj6g2y11r5GlnKA/J6vf/L5eGBlMl0YPQfIY3gqB4tgWpYVe/y4n3l2JmttP+UvQLCyI89nF0NQjiNzOeY8nRCMJJWlLd9t22hbI8KZx0BHpbW27FzSUeIcdIcHImlZiy5nBA9GX0pUTfvZPN/Jsk33mUgrt9PL7qqrrrrqqn+ofAz63jMTiLQtD0v1xDyOzHMshelBTGccaZ2doFGCaXMGaF7H0TXMK4XQzCPmZO1rSRXiymp2dzSCUuSp4NPQH/vSM/rlpcdEllVZBD4m+5yM0Tn2B/040hZ0kXlL0dWTK0ilqGEZUEifzuyD4/HAexKNlDQ/UgkGnkPbAFamoahSrD73HJlHmYDpPB705UBQSqWIIDYpgEuqP5Rc84sVXII5x1oTM/94eNq3mhZmQJ/OcHAmeNCPTkynNuPYdx7fPxjHzu3tztYqpVa2rdFuWx6LJDGoLEIyKhyPI4HiZTkhQaph51yqRQELxB0Re84YSikgZ2aXJ9a7cqQA+pgIHZO08RcvPG3nBZB0jzBVmoCtz4CVHAWfT32pIa+66qqr/pxKF8DlPFgLxIZIUExwVWx0oKy5+LGu04s8ZMac4MtJMEQy/kQMtYaZoZodoZYJMZZFamfOkWuCe7ruKAluHXuCeWPw/2Pvb5ccSXI1TfABoGqke0RWnZ5Zkb3/+1uRPqcyw500VQX2B2BGj6yszu6ulFnZGUOJV0SGO0kzI91UgfdrhBNzZ+5PfI6cm++Ugv5w0MsZMqbp+OOLHz/KLn3OJNvg7PvOvj/ovdE0Z9OH5Xr4xOdgzT1VkrqhZgzPvYOKEOXCuD8Haw7UOjEn++cnU5+EKEMEP/ANSfaOk4TiZp22CV0Uk2Dfa27Aa5YfX8hViDDW5MfnB5tP3GGMxT4XwxfWJEk7pcJMSvarQiqymhqXS6EwcQiw5HxAXk9lXw62pWvCCsIauLNUuG0bb2937vcb4c6+T8YyttuN1u1Uo66af3j4KdRSS/Bzf+6MEacdvHg6H4lPLBxTUqlKgtFX/XFdIOSfVCrXkuJwWH9J5Qi+rDs5QciooPvw45eEGiatE0CbYzDGjlVOkFSArNTNS0UwDoUdJ9CXyogvv9h1fOtoXCRK0l1qBw7rUT8BSc5/i1dIE3UuRFqpkDdQCgALP0TilNFZ3m/O4/uiBqW+f7AejnNW1VQHflH7ndajX0DIQ/l4AI2/ByR/em++KCElpSF54/vdz5jl+xK/e7zHAqcsZA/QWOrvOVDM65qAsP9OxclhL1sgZC4AjlgOZ08263nsX++ir8bzGIbGys+WHm8Iioifatc8l2xurrrqqquu+vfLVxKH1JQWyap3PWywFZEcWOUgMlDpZdHVERLMkzAkkraXpKIcRCYnqPIdDKQyqUY8s4lhsfC6vzt0geXIAsTxA5BkIpaAVjDPhmOMZ4J+0klLsFyrH/tnqRSDZo04Gpc52G4Zdp/fF0x7DdsWvh44jtpExRgzh3MWhq3Mi55jspmhkgPKfX9UZnKk/ZyAkkPYJEYpTh5vs0bvOfiM8SwMsixba0jokcNeD5gr8I8n1lcNCRVfpK2ZLg6cMAHOjmqCoIVCnuvsoUk8iT8cbhapONUaGO5jR21jzVSF9L7hLvR+z4avbZjmwBFN+xqVRojQcBxPxUiBtqppFZN7Nvj8/OTHxweB0O9l92MbyGEvk4e+wplxgZBXXXXVVX9FrTWYu7LcQYMwYTwn7b4xxyKm02wjFPbPnf2x43Oy9U5v8nL+SZ08OXBLsf30QazMXhINtKUKwHevHnAhDhFGs3LgSfubs6+MRZm2JmFGD4ARYRMh1mLMnf3zg8fnB2vsAGltut0wbhn8LLkW4zPdEHBYO+P5ZH9+lHXqi6TrpRywviFmtK0jLUlIHOTaSIBSV1rEbrwREvhMIvJhjR7hrBWsmeNUawnS2naDmUQpwQkV9rVSUTgXLoKLYZWxCZMxnH2Men6tXMo33r//wu1+yzmC5ZqsouwVcSNls/b53M/Im7UP9pnXdds2pG+oN6CTeduloOlpz27d0HlaHkEIk5GbuPKe0sPp4SRaT5bktVy+owSmRQjHmbHSIvdwWLrkkFddddVVf12FpGMg2c9JTzcDsXIHtI6UIwFzodoxA2kJRI5IAqkcRNhz3m6ItXIiAqMn4BTO1CcyBotBenYrqo4JSKx0xPPJmoOYDmsgkfOF8Amalt/Puaf6TkDpmDge8PnjI129RWhN8bV4Pj557k/e3t9ovSWZCKOZMcaAueP7Ay8lJc2yJ52KzMEUZe6T/blXlrHia/IocBRrzNbBWs2305kI9MyBbpqKUw2HsRcOUr18YR+LQCJJV2stPj4+UqQjRkQqQH0mDtI8TpcC2zas9SMg84s74SubEoTQciqoPBsRQSrfeZ8T7Z35dEat++7B7e2dbets9zutb/iamCvbLWclCbp6GTmV28VB2jqIZyZ8Pj74+PgAgbdvb/T7Rtt64iMimX9NApi+LhDyX9UFQv5JGYHGKrCITFYQoVnLLKli/OdsS5ljFNuPtEIlB2nLM0A1vYQnEpM1n1gETYsMX4o3k+OGSSrwiokQmgNNPSxCpXINCshaZ1B70vHMWj6XRjLuI+Es1nzdAI9aeSPUcFQcxUveLD9ZzzYEVcNQmpd0UzI3wymQ8Zj+SdQxWg5ex/hJ7XiAkb33E1g7bFdV9bRd/T0I2Xs/c6q+ZkyGH2oHPfO9TjVkWbX6WnUzBSQbPSQITWXkAZoeg0tTxWhlnfMCWrNRKsD2OPbwvOGQA8qk1RRwHSCRTcuRR8WhjqxztC9sDpEDnE1Gp5+qiAXtGk5eddVVV/0V9fwItpbWqeqBNYNorJl2pyuMFc69d9a+YG00uSEY0Lg3ZYXQ2w2RDi5p22qCd8NVGELd3wMc3PM5U/FYxCFfbHrHvYE9UVt4PBjjiXUyd3EtXILWNsITnExGFIQKk8nCabfOc3/y3AfxLNW+ZgbSWKvAxwRYzbKxkj0zsdQXTGNfixFK7xut3RJUVccoNYjBHDtzX6hmjuZcTut3BD3xvlQVpDJTrSFd2ceDEdmsjbEY+2TMbFxkLbauBI3WkmgUHsw1iBmYbLy/v7HdvhPRGFPpeqfZPW1ha5Q7xiJk1JKa6kJwRDyx3kh3i+dzT2DROh8fD7QpMxLofDOh9Te+394IX/iMvKblurC1t7SxnRNEEcvPzTKBSLu95/PBx48P1tz5fD7ZbncijqzNxorAlGp+lLHSwnX/4sxw1VVXXXXV/355PJBIm88U/ilNGjIWN92ILRXwSxsrlH2lrejtZmXBvVAd+ScG5SYQRzazTLQ5ZrA1o7WFFYA3HZooXRoWwoqZ4FvEF4KvsJXVtyr06m8h16t9Dcb4RMYHMj6I56MedUNMWCMJ0xaGimPW0r4sgltzpDuxC9NLKUhjjoofOWxMRZiqSG9st3vmN3mSZVme9rDRQIwVwrJJN8lhLE/2507bGsKergldWU3o8obvDxQjYjEic6w+Hg/u2xvtduO+vXF/+0Yz5fO3f+RcoTXu3/7GDNi1M925/7f/k23beD4fhDvPJeyPB9u28Xa7o9r4eH7ijwc+J+E7c+XxiKTl3b05vd8xgzWfBIrqnbUa1lqSsgDrPYeZW0NUWSRs+da3zJVSiFjE2tMWXnPNV180oUDIIMxRrSzqZmlpu/6v/x246qqrrvq/a33uwXY7FUJ0uyPdcSryzBqxFm27EXMhKvTbDbFOqHJvwkJo93da3whtCbZ1IzRwO0RBWu45QAhCSytvydgtVdhuNyBJLbESFJyPJzdTrGefKD7RSGKU+AINNAa4pmOSB+/3xo+DvBqZ+ajNaNvGmAudk94Mi0kLQViE77A/YM4k4ayBk/bzdn+n962cmTzn+Q3G/uCx70kebh1u94pNMSIs7VU3LTeInNtvTRiPB/FU3GHug+c+0gGJwOcgWsP6RjfBiMxVnJ9ECNo2vr+/c//2C/QbA6Vt7/TbDcwQSxLPGAuRjMWLtYBVbg5O04xJ094YY2L3BGZ//OO/Y6rMFoQvVBrb+zfub9/w5Yw5eTyf5Wgv3O6/pLPTnAmyNmX54rknaWsz4/PxG//53/+T58cnH59P+nYrwLHTrKeDVsXPZFzLpJJtrvoXdYGQf1KaWNbJVpRiP6KRTL9qFARhTSe0vJWroqS8HgvkUCUuiLR5gWTAq1O2q0JTS/aF5o1UtNgY9soJTAVhmraKew3vXuHrIQUE1jGgBUAeKNfvWPYSvOxZDgwxH/zzL9CJL0b5jvgJzhWJv4DA+N2DkknKF8XkcWyn7em/sHOFn1WPp+93az9lQr6s3Si7EzkVhMcxVEZ8/YycitbATxAyir1wKhd91Yfgi/VtHVMgX1Sf9ePnj8iplj1sXSVgRYK/7v7z9ajrkM+tpYo4LN1SVXmqJa666qqrrvq3yz0q68CZSwg57LzSksusJTvRjN7fGXsCXb3dWAs+PzLHKckxG2OfpXDwM4/5AJiAXJtUUqkAxbjM9WmtCZEswTVTWZeYWpJj9vHMY14LSBvVpC8pHgupsOHhT+bKzOlU1BcHSZW50gJWeg4TgwXhKIuuznPufP4YfD4fuCrv33/hftPKrEggz1cQUorAUh2m24KApPLjyHXONVaTfVqqBjSzmEQj1QHWcjhMHCYA9G5sW0925xyMfSfUs0GLJB2ZNrRvgKQNasy0zmmNbcusCC9ng/CZ54onuScy+zL3aLnu39+/oSbsZviYiFY+ZIZh1dtnKAeBakuLmjHyfe7GXMpaSbgKL6XtCMZYfH//Tu8t86jqsT8+92LelmJGVgKa10J/1VVXXfWXlPvK/KaKDoEkzcgRtSKNtgkqjcfHpGknOknmbYYEzPlEj3UcAXfcFUyQaKhPWIM1DMrCVPGyTVOs+kmJci/iFZUCwb3fOOJTJJxYi/CF3TsRizmerP1BrPGyncMhFmtNnMDdgIlIxzRJy6bQTVgmjM/FGKPmF43brYNmzztjZdZj5V5q69QiSkxQS0ehJUYLh33keu0TbNHvwvt2Y+47j88fiBnaO/t64oeipGxfg+D+/Z3tdmPb3nj79p3b/R188flD6Fun3+5s7++IB90LQG4bC8WrJx5jpvuEGqel6ip3CUgHhmZ4zSRUwVrunSIyc1I11ZO+Ji5pOyea3zMaqLHder7nkSpIM02lhik0JayI4kRZ46YawsKTII7j8poTvLylLrLRVVddddW/Wyuc6YGuisGIdDiqSTC2dYIE8u7ff2E8n+lis92Z7nzseznfpN13iued8IW0FIRkwJ9kbw+EKn7Yj/KaYY+xp52np5VqrFVOgsKag+cjSTRz25L8EzkX8AiWKGEpaBn7zv58sObImbULLKG99cyY9AIfxcAXGoEFNIKP54PPfzz5/PygNeWXv/+d99ax1phr4mPHNVCzkwyVHX2uceFeysWvc3g7Z/mUtbq1tDoNb7Se15houVYqbL1xv99oZqwxeD6fzOlEqTARwXpHLddYj7TEt8p+NutJeip7fF+r5vKOlPVkzuD97Of/9ve/IxK0R2PuE9O0WV012vcQoKX7JAkaJ1YyEIW+ac4x9icqsDyYHqy5mL745Ze/paJy27i9bYTAr58feT5IRuWshWirf7vqj+oCIf+kvmYPHoBi1AY1VX+cdpwRM9kQAEeoeQR2AI+QuQ9rwfLMUaAyITUtP1WOfMiyORE5/54g5MvC9JBRp1owwao66gQh1z8Deqdt6u+tRf8H867MTuCPLVM5gFl53cS+WLy+Mhs5wdSvIOTXa3wAjV+Hb8e/fc2cPADIQxF5HAtHOH0pRr+ewWE/m/fOSLbHYYkiP2dm/h4kfSkjf39c+fg513ldjmtzIJHHI1QVE81kkeBUdXq9J9nYvhSnp12LJOh6WNpGyIVCXnXVVVf9VaWkrYdEKRNJu9GW7KCmW9qLWqoLvIZXYpa5Rxv0YspHRD4OwZlJEqpA+xNgA077TS8bdfK27p7sTMMyj4LMZVr+TCu2ypgw3X8iI517DWtpHTaPbKMjn0oJSUbhnAPVSbM8LpXcvIukIo9YrPEkxpMlMD6F0Y3tnhkJ47mjdFpZztqWuRqIMWZt9MuR4Vi/W9e0Jq29Rv5b2sRaNFqLL6SbvBat5TovtRC6B1pJ9fkaZV+umlauB9gpSm9pS7fWQjwYozItI/M/jywJU8OaIJKsTWvZEPbWQRtSlnlfM6aPJkxFab0ys0glqpgSKkRd/zkXsaDZhgTctsbttmWjJso+VpHOFE0kF8RRS+XMVVddddVV/36NMdiLSPM1DiSHbVYZ0HkfvjVFbp1w6E0xyD7RJ3NIqhZsgQiuaTdqFVy09sGaATJyXSRdhqSsxHJdrDX/S98JSazxig7x+vflC6Us2J6fPMdOrElGfmRmsZPr+JHxfABwR6ZzLGc8n3x+fPLx4wdzDG7bxrZ13t7uiAVzTp5z5DC05g7WWvrNWu6RfFW0izyx1XMtD2ApLaCLcNvStm7OHQfmWqgZLTpqUpmaOfnrW+4b1Frurdz5/Mx9h7aG9k5o2qXfv70z5mJ3x9dAopyMCHq/Yb3jETwfD/Z9AHISlc1ago5n352W6Z3Fvd/QrRfjXJFmiHseU2toyz69bzfcg1nAa6v8qnwyP3t5R/I5jv0ZOdRNG63XHOGCHq+66qqr/so66B1J/ADYmtIqZHDbGqZCU6WRd+JFOttFBJ2gW0ebcY5aFZavUxwEX3ABkpv6Egy9evm5VgF0BiutyFU3Ykz2fefz85O1j8QPmqHbLXGFchwwy75wnwP3oLckQ6m1ykR09jFZa9JE6LmBSav1CAyIudg/H4zPB3ss1OFmHRNj7pPP336g/Y5aR61xu91ofUNb55mKorQZ93muZ10z9kVrT2MmOf9Yh019kZFLmJQkrF7zemO5Z8SZGkvkzHvUENRarqORudRmLe3TMZ4jbWzHcmJNOKJqamBgd6OZIDhr7mxvSU6+3W407SWcSntVan+jhV2oKn3bCoRM98jWrUhr+TXWZHlgfWPzYOsb397fuN9viArP8UxStDYEzX3SInMkuSLU/lVdIOT/Qp3e/wSsiblhvtDInICk2MU5DDsAKfFZBLoveYxRgBgFKCIFUn0BoQ4Fnb5YefAC6v5I6XeAZVG4oh03SI7XjxQwEj8p7/5HdQ4OvwCyyx1WZSPUObykkPn8X4E9+bLl/go6/pHy8fj3A2AEfsp+/KPHgaMaBQwe33vlNeTXJGK+gMh2POfrdf7o/Y5IlczX1zyUicAXxYd8ydsMxH8+568g6gFaHucZEmdDegKxcrw/8tPrXXXVVVdd9ddU2zpta2jLAVlIgCliB0CYg6QVi88xk0W3Fs/9E9VOv9/Z+hufHzv73Gm6YU0zYF2yIYrI53rdwyujuaUtapR7QAJjgmgnZJHeLjlAdVW2lpkWUc+9ZtmneG7Ml+ZGPyIBtt43tu0GCMOD38YH0yes4OMpwGRXkFiM/cF4fjKeH8Qc3LsiTVnjwfPXYEPwBfvng/v9l1r75dzQiySg51H24V7D1YM0WW4Ax7rXWsdjEmFF0sqNuuhrLf383HF3xtgZ+2CzLZUp2nCEuQLxhdV5izZa6ydYDAv3wfKRQ9FINeTBht0sbWYDYTwHj32iamU1U8eDpyqyzlck3SqsgN3XPucY/VbrtYJ97MiaNOvctg2NSbeOoHx8PBjLuW93FqniSOZWMjPtf8QMu+qqq6666n+69v1Jk8qIOsisZglmoURLhx13Z2upd/dV4OQXAGuMnfHMody2bdj2hu87juFhaJdUX1ggK4eiy4MVK0HCMyP4ReqNIqY+fnycPeTR83osfqxg7jtIAnfSlPAc7qm1jAQ5LdfTteBYa+ecrDnZn0/2/YH7SJJLS+LrWpNeYJ4cxNlSOawiXKeRWtqEB86MJ2Fa2c+CRYet0Ug1v4tw+/aNrgax8Ge6LyRi6ek0IdD7xvIj/zkt6R77nm5SZuwRrLGj243+/kYXy+v/+Mxspt7Ag29vb/hcPJ6PBDHXTMCzFJLZU5eqE3BpzOW4aCo/yf3a1jfUFNcgJN0wAkdF6LfO3AcLaKVAjRk1diWVnpZOWGMZ3oxorSztMiLG/OWicNVVV1111V9XvUlFeBTxI9UvqTD07OuVnIN/PHckgukLnwNpnX6/8fb+jd8+PnmOB61lvxl4zdSLSFRCHiinHYW2NaJVL+8LCaFJw+xOmMCusHaec6byzhqj1UwgwGc6KoVrEqUsI8cI6NbYthvbLQGvSfDr/oMxBsMd1mLuT7oaMQfPzweP337w+PEr8/lkI8HQ8fHJP/4//x11ZXjw+Y9f+fYfG+KBmJwxZ9YaSyLXR0+84nD3sy5ndnWUK8DWUwkYsU7BVeILOT1xFh/PHV/O/nzwfD7praM985w9YKwJY9BvHa1j6Mf1L+cIX5nvPPcnvvbal6XN7Jve8/wl+NyfPPZPVI3bdmfbNg62cKzn0aKfZOIjroYIJDSNIMw4HLDGHDw+P/F90G937vd31hj07Y6I8NtvvzHW5PZ2zzxtMSTSir8u1VX/oi4Q8k/qK4h1Vm0gDwXenDPvdSnFqw1vvNR7FAGu8v/kUNXVvEor51FLKacHyHYM9+wrAKdfFINpx3oc0sGuNINYUb9kAAfAFafd6FdQ8BgK/nG9VJCFmuZzeA7/DrWeHr6153P+XglZjzkc6eR1wzsasbXWqTr8qor8mgd5PNdx7Y+GzT2wVtdA4rRhy59LO7ZVeZOHp7fWn69r+wI/j/c3/JUVeSK7/HRPrvc9/0MlFaGhedM8hS8FJqsoIf7TNXid2D+HRPxelZmvfWVCXnXVVVf9FWWb0W6ZaUgBfytGkU9muR84czyI9UjlIEAo3cgBoJVaYDmLkUu7CWJ1/5bKS661RPmiEAxhlU1crQxJ+FFjrmB/Png8fuCxaN242+1U3x9rmCC1Tq1a2xJAi7Jpy0FcWoiF9Mw39Mk+nN5AfKbV29qJNSAm3RrvbxuPx5PwiT9/sNyQWGxlNxbuSUhCCQXVW2VNCofl+09L3KEqlCQMReQmJUTO1GOpbOTXuh9JddJOSEOtZ2h9dIRUHIjZuZbnXqPWfJ/MlQDkGDvOyIayXC22tXNYxOUeIcHirXeaNXyV20WpItOmxmqIqkzPPdU8kUghl2fDQxh72uNs91sycKXAxiBfy4Nb21hhIB2k4aGVIX11LlddddVVf0X9nvwqgM9JGoxD2qAXoScWQuY7yhd1xdl7jgQh3ZKI7M+dFZoJUGq0dqO3zlr1yEhbsyDALO1di3BygIVEsO/7qx83O9dRaYqYYNFSmVnOSa11UCkQL0FCX0WOOZX7CtVr3+4bVkrJbqmifD4fLE+XgxmOa9Jfkkz0BYSU3GOsmLimYhDVWtcEjc7+8YM1JmPsNDPe7jeaKlOeOGkd53GoBl/gnReJ23rnjW885uN0C5gkUattG/32hs5B9FQrmimxJrptTH8wD+UnaYP+AiLLWtUUUUP7G2OuytjOnKsgkOa0UpqIGqFpjS+ac5qDUC0CPlbmP6+VeyDVdG7ovc4xFa30hrWeBKmtwMsvROmrrrrqqqv+/epd6V0wofrPVMVlXNpgjpF99tiZHw+s+k5RY+tpU6pmSSaZ6UIgkUp+iYz7ioBZjgXUut3UKgu5XIBmIMswCQyDMPZw9seDX//rHxCLrXV668w1c85d/bzDGQEWovQtHRnWnCzLNcZUaWpED9ZIktEAxBrr8WD/+GQ8n8zHToyJtsYv9zc+H098H3z+9gNH8OlsrZ9E6DUrgkQ1czNVcAX5MrNOYJETjDXSFWD5MY84VKI5M5+kPfrx8y4Klhbn2jq2bUkmqn3KQajK67zQmeBgWtE/2Z+f7M8PfE2EVdFpzhpvtL7l+uzBPnfMOvdb2s6vyOzudEHMz4sgWPX/HIQwzf2gl0rzsNt9jgnLebvf6NbollmXHosxFi5wv7/jSEbEtE6onaTxq/64LhDyT+qfPjwHOKZazUUwa/jXjo1lKRPPpiefqADI/ODzEi/WhlfPYaKln2jlUsnJGjzUBJl9kHasp7VHgX5av7wYxCz2QCJpLzD1BAcP6fhPEsbfX4ET+HwpLl9AoHxRWv7ZtQt3+PJcX4HG4/kOUPH43qow+a/P99Ui9QWeOge8mkf5AjVTqZgLiofnoiCHNevr/I+/f7WpdSCWAD8rIY9rDpzvx0/nXVldqXitc/2DnKev1yI8SqD6FfjOrz8Ew6+66qqrrvq3SsxRSzvzIAhxxkrVwlo7qzIFn88HwkSJHOhtt2QMxsTHA+vKRuO57wku9RuZQSgQL6vuCAcxVIzWejoJLGctISp32MORyAzIHz9+5bF/0Ltwf/vG1u+1LipjPhDRCkJfpTDMdWaMyeO5o/szg+hbx0xyoy6B4mzdeNsaa3zSNfBNeKozBmzNMkz+bWOtwNeACG6t8q1EWZJOAmaGWmcFtUeSc3eZa2o2McGRHVmWLfkDHByt/KEXgUut56CVwwoOrN0w7eAdkY1mN9BOhDLHYq2XJc6aCcLOOZhzEJL5FhHBGgt7Npp1+rahKnTLgWsvteWaO+7J5ow49j+KezYoiJQ25MV4DBTTBu3OsIH4npa4pLW6rwOcbaT6RDFplR3RWCtzKC8Q8qqrrrrqrymzRmst7UDhBPJMNS3H5iJmWaJL3tG1yKNUjx4jvhCN657vi97Tml08iDHBJmELIcmuGpUbtQrgLIVDuZYVQbnIytXDHkaeiNCsMdcoR4X879YOezgpErSjkSCb9Y41y57ycN0xTYtTnFa25dmTB5+fz7SjP6zBQ2oQp6gYIS2JQVouDH3LbKrwPG9NcM1mrqNzjVIawu3+RiulIeOZxB0JxEgL88gzDRG0GV2VucP2dgc1xvLM526N3fPa9ftbKS0c32F3Z3dniaC9IRPmnNzadpKk22bY1jHrhHSkJTC8vAjTki4OIS81yKGMTRelF7mJyMHqeDwZY2SWtyqxbVi8IfZWrlOZUUakxb61hq3JMW95TVSuuuqqq676d8oEmiRRJLsyZ46dcGXNPR2FfDGeD2IfiGT+4+32Rr/lWrGPQe8JWj33QQx46+8vFaR7WaYmcdg0QcvWKpdRgojaHxwk2uU8Hw9++6//4rfffuO+db69vXPfboyZTolpE5qYwqr8SBNhM+Mxnjw+P9kfxu0tj7U1pbWN6Bsawa133raN2RpPU/ZmtAgen59sptzbht2U3Z35fBKafW5TSzViEbNUMwYl3Qi03BS1It9e8+u0l1+1N5JTBAW8HAEJ5hoZXdI6t9YIjriWldavfYO+IdsN296Q3ohI96dZwhxFmGMwxs4cO3MfackuASz2CB6PT25lza4qbNv9dDUya8wx8xqf+EsCMEvyOlOkqCiUNVQIDO0NW1taw0fOJESV3jdChBUQreVnr22sILMtreOaZOS4dEP/si4Q8k/KROnWTmvQIG8W62BHxkKk0c1o1nPY6MFcO3O+mHJROQ94nI3GAVSeEuhDCWnlH3w0QCpfBnkvNudRCca9VIUiKQOOmTfKOQdrzNwUu9fA7GD01euXjYuZndlWXoPOwxpG5DUY0y/A6HkMkbf+/Nk6/i8A4lcmqlWO5u9Vjl/P7Y8Ukce/Az/lRAKVdZUD4qgb5PGVbMgDxH0pR0WOnK4DHI1zqCsFTJodVqj/fJxfbVV/sokNJZipmKzvJzDqfAU5vzYgW9/O65GfmUPNOX8Caf/IOvaqq6666qr/9RIZBHuReED0iFNeqMEck31/MOeejYg728143zasdeZcPD8/+P79O71tPNfOiknoxlp7vYakE1mx6M1y/XHPgVSQw8D7lsCUk0AolUVx78b97ca3+xteYfGihoYTnuvMoZ6be2ZXxloo0C0ZmWsNYjm+wJrQegeffH486AbNlH0F1ozb7VspLZTe31gz+Ph4Eg7brRMx2ccD1Ru32z0zmdrG516sTo9UENRav9Z+OhYQqRyQ5TzXI/coI78iIq1zlrNtG6013t++0VpjH5M5U624Qtm2ewKQ0VlT0gbOHV9B+J5ZDPqyY8v3oWzRLLM2Pj8/6O2GqHG/vzEVBAMPxhhUasSpaohIWz0py7u+WfGNNJuNAG2d+XxCKPfbO7K2BK4VzITH85M5Jq3daPetAOmWahM/LO4aN7vGk1ddddVVf0mVUs3kZT3aRYi1qjebrMhBY3jl/jXD+oZIS5sxbfTN6NtGtbhEBBaBSbkYBcx9Z3qw3d4hMpsQnOF+koS0esd0Usq++e3t7Tzcsw+WhosnkcVyzR7u+Dz6cCVFGS8lgVjDyYwqd2cuWAhhSpNbGfcETVrOHJry3AcI9Nuddr+lAoBUEVhLIhKebkLb/U6EoUHa243BeGa+1e12o7fGfD6x3pnhjDEzt9KSfIWmvWloRY2sqGyozHFutw1prTKayzpuDMC4v230duOYvzzdmUCYYlun95bHVaymuRIknEvRyPzqsXJg3LrRpFSgKweYvW1YT6WGmbE1ZewfueeqecTj8xPW5PPHJ2vOVICYMWLiEsit07a3mqdkhvVzTh5rEdZLqXrVVVddddVfVWt8MHelm9JbRmbsK2fnEhBz8vn5g/35xCK7u9Y2tm2j987yxT/+8Z/8x//x3/jW33nu/501nqjcGZ8fXxR05VQjqYIkJmM4QhJ7JBa9N8xzbdvnwmfOoW/bje/vb3x//5ZOimPksR9El4icH4szfbHGZBZQaa2l9erzyb4vVkRiD1snxuDjucOa2bWG07txa98RD0yV+y+/MCP49eOThfD2dmeOwXo8aLcbt/s7t/uNfn/jGet0WcAdJd0A8DRlxyeUU9QQZ40Hc032NUuY9cpIbr2z3e98f/9G27a0kR1P5nKwRn97p729I21joowxGWtlxMxyuhmqhp0OT0Frja0bogkc/+Mf/8V9TH75m/Lt23faSgelOZ2IvQBJ4+nPdDiqbO5WAGTfGixPhycAzX3bCqdtwS9/+w/mc8dI4pq2xufHb4wxeP/+C7dtI0QzT/SIahGj9Rv30H/6rF6VdYGQf1JHeD1fwEFpJecVOaXbWpYbrLT9jBmnVevx5Svl2wd8KJLh7HIqHw9FnpzPfwCQfFHSHceUPE45n+ulWCwQMjXTCcotLyb/y1IkvoCQhy+ylsLza30FzV7fjATJJF435p/Aw989vs7h93mOv1f2/cS0EDlvyr8HMb8+/gAIv+Y3RlCga5zX9HRM+3IOX1WGh3UrSIGHr9fLL/vp51/PdbxvL2vX+suJ0opk7icaOC/b1a+6yPj9lZcDCP3yHPrPasqrrrrqqqv+92r5k7UUJAdSZkY3Y4WzT0dlYhYglsSeIC1DC/jLTIRG+AJxtp5uBOHjzAtOoo/RmpVqAMDxWKxVDgAEJkrEYtVjJaA3437/Rt8MFWHMxb7v5IqRw9LzGSMVe4cZm5nRe5KMDOG352c1EMJilRrRy0LUcyMuzng+MBXetzvf3r8TYgQ/+HgMiMNWvGzU54CAORet3xNUq+wnL2s7s0NR8rJCdc890apzFxWOjGyzxna7VXN4T0VCGHPulStlUBmQgmXTFpXOdCgWVEtTApQlm5jSu53DwekLlVb7hoXZrRQekpb2h4sBipdqJd0Wcu8VpHIitwq5vwJFtOEzrVv71miVURJkNjWqaNsIMdb0BEslczXlACXln+3Zr7rqqquu+l+voyeERbXa7GNPENK/EIXLoHWFp5JwWlqrI7T7e5JC18QrDgTSKi0YWAhU9KAiDH0ionisXJ80TvV8lEuOtXZGfqzw7Pm0nHk0o1pCPB3MEMIHr95Vq0es3t9aKf1aKhsEQiHMkcpEQspGLpc5XASkw1bRMP2Gtg2sIceXZMSMaM08xDFLBUasmcqA1lHSttxap6nm8DCCj7WYayEq9O1GSKDNKp2ZWtO1crA2RKH1DeuZ2SzuUL157jEyHwoR+u2OksRdcadb46aKeKT9XgSrbOOXL6avzJIuW/WTeC1lgcdBtBasGb0p4p0VwYpIUvf+TPLU/khnh5453HNMJtDf3zG/gSWhyPoNEaVPYWLnvuRSQl511VVX/TW1Hg+WCdYbERt0437rrDUZyzEJtmZobPj4Z+c5EeG29expRbhvPZWJ+zOtWauP1JaW6qZWtqPOGgcJdkEEmyi+Jr4/GWWz3nvjffsbt57QyxiDfd9PtX2O/fXlcACZcVlziVsrZyCFHx8fuW8QRebMTGvKKnUttt6JNXl8PlDg7dvf+P7L39IG9b/+wY/HE6/1j5rt+5yMfccR+rc7qJ4ORavyrc0Mw8syVYm18DUTMI10HTxjxkSw1rnf79zub/T7e743ogyfhXGk/aqaJfEoknTEWhyBy/nKeT1EDpeCzOHsW8fGZLnXXioYY9K2G8sP50SvNfe4rmU1H+Q0PoImSmjuMVKXlPnOosZiImZs93uJxXKf4JbW9bZt0BpjZRaoSD5OWkdbq2zwq/6oLhDyT8qspMkv5LAi2oNF5Ca2NWzrbP1GzHUCWmMMxv5k7jtjH8l4LB/ptBorqxbTsvTMD7d+ASUPq9bcokcBhS/FIyEvC9bfAVaZ5QAQhPnLEm3m1v+ri+pXcHNxgIM/g10HGHqAfVTuZRQwd9jMnlkX/wIs+z0Q+XVQ+0+Kwi91fF8PpeahGDzt2+K0YgOqQfyj56pz4KVuXCtqGBw1QNbzscc1N5Pzeb9awua/vZrKHAq/juPr+Qh/fE3+8BrFl+tZ5w/6UspeddVVV131b1WsT8YotcAydKVSThWaBtJrXZwwXViRBCBfTljmO1pvaclF0FuqJvb9katLTQKlMiBba6yRIOOoPAfKukQ9Qci5nix/gDitGdutAyv3E2N+yY02jp26iBWIpxXmTk0gc6iqovz9+xvLJ+6rXANSKdhMGGPQemP64rkWPXIgSUsLs+092NeDfV/M5YistKIprs3hNHCsWa0Z7j87GEh9T6BsbmsIJ8mWTCJPMhDvtzutbag1ggQZo4C+wMrBLq1PZwXUE8lSbK1hvTFWKhLzmnSsCb03vn17Z7nz3Ge+ByuzQ5qAhHE4S/TN6H1L27baH0AxQlVwVjpLVOOYe7JUpiwPFGPbNjYzPBaPsbPIrAj0hkfwnIuuQrOytS1b1ldK5lVXXXXVVf9OqRkhuR4e/XRmPh3ZTg6R7gNugZdzjYvTiLQybYpMZXkkAbcWsDlHZjuXQZJ2wUSIabVOeEYeNUumPOkClEPHdA4YY7x6YBeapZIDFVTSUgxzwnfWnPicRAihuf4EikpPa3JJlaEIYIoUgKkhua4U2HqsvRnNnAx+PSzSrOU5n315kbLLbq43Q4EVgaijmyLurP0JHrUHcZ7PvXK187XalkPUBFwjc6KIM1CltZ45in3DtjtYpwW0lVmKxx5DzfK9NEV8wVtA7/QQuioagZL9+vTFklRwrJobqKblfDPjoF6LaVnkOuGLNQFPm921FnPf2R8P1j6INYtg7UmIknSwgLSay+8p1jp9u+Pa8nO1uJSQV1111VV/ca3HBzuLqUpvjdYb29ZBAiXYWoNwuih7TNxr/Z0Lbxlnsm0b4/kkVYsdXyuV75IAobYksd5bqu73PaM+xsjMyXOebS0dAh6fzM8HsZxunW/3G/hi7Dv785kAmAl4iZwo8VFhAq337OU116YDDfjl/sZck1iOOqina9+tG+PpWNuYc2esQTOjvd3p9xvWO98jGAKf+2CulUBkHL15OTqQRCUTwVvOGcIDKcJUKiPBJS1kPV65kb1nVjXA1u/c39/ZtnxtVM6cRUSJinUJcs6+5rFX0IqPafTeTgtZtUbraUe73Tv/8ff/YK7Jcx/sYzBWsD8eyL5SvKVpW3u/39m2jYc+cY8SHFE9d1GE5dhP5TGGKgvPPU5lam/aiXAezwe0tGbVbWMJPMeeZHPJGYa2jraOzKuX/1d1gZB/Ul9BSBHJ3AKpAZqvGiz29JW+35j7YJ8jsyLnYH/ujP3JmgOfEzyS1VCMQlPKoqQsUb8qLlXP3CEVKRDS/kkJ+TMQFsW89ETsVQH7AkIGi3/NsD/AueClGNQvACXCyRZdhyrQXyCkqFRzJT+BnAf8djzPVyDxa9bjzzmPfAEYvwKC+tNjjiysCC371dfzHM1TXqfjGhyMCEg26eu13Z2jJwXBrCfzQo3W9KfX/FcWqVI3cGPVtXpdx/9h5xFfHn8oY0Mx+2o9m0yUq6666qqr/oLyZwUSCrFyU4xa5gtWJoEVELis4ytZ8lvrdMsMiLVWZiYSNFOEBLVWLTOqysARcSJaqhtYBBOoXAU412jRJKGo5f6iNTLj8fEoxV6nlxXJOhUZUTkRnXDBPdcNj0AjQS5iYbYyLD4WEoZpp/XOXAmoBYpYR7cbTxeevz1QneBKaIKUKPQCGrd2ZG0ZP/ZnWpKUou9YV+ccBJm9mdkZRZLSHFyaNawUF+Fw225s2x2QzKP0kc3eqviscPCFMKG1GkgqIn5mL+ZzCSKNZrdUebQc7gqvNX3OzOyQY71HWKss5IqUZNbzNfScOwOw1qwGjGxcyPfN2i3/lMjBcICvYLriJZVZbsy12CfZ+Kjlz8oNxHCZ/1f+Flx11VVX/d+2brcbt9uGrgWVuRyiCX/5IuaeyoXI/neRw7XhA0PpYrTKCRK7YWJIVBqw1+DK87nSviyHeIfTkXWj91ZEXk1b8cqXmnMmCajlSEZEmJHgZyPtQU0NaxCrM3gyY2etiYQBud7mSKcTWkNAKeWAaDo4qSUAWWDrUZ5GD2nl2jbEOtIShBQ97Gsd0yTpRHhlSQnSMpxGIqAUJ+EJx+3PB48fP9gfexGfBDGh31ruDYQvMTfOPha3dmNrPYk9ZP6lqaEehCj7/kSA7XYnfDFGXv777Ru2gvX5YM2ZsTchtc63BIGtJ4k7FkagEpjmbCIsLd0PhyjRVLKs6fjYmeOZs5y1CDwtZd9uuE+0G2bpdqHbHWpulFnZh01uOy3z+ZNRwFVXXXXVVf9rFWOwNNcDViPc0Lil1fpaIEHrjdvtzq3nEmhm3PpG11b3Zec5dgLoTXONeXyec9kwQ5aj7kSv9fFYT2OhRZVdKy1gTQVXRVpjk9wD7J+Dz89P9n0vW9GWtuYrFX0imWWorQFpF+6+WCMj4poaWwiGZjScL6yIS82MqemeEALWG7139jX5zx+/oa1ljqFmTvPhbtBa/tytb2k1+njgJcABJQq4m2tmzy7OpolNvCLj8npaz3V2Ody/fed2vyGqrAAfK+1pyfdpRRBzss/J1lPN2A9nxyDXVGl4DESNdruhXZO42xuIYV0xFBx8OrEkAWeE8GDf95NnZpaCotaKhhUZh+OxCCnp5eluBH27J5l7Oa1tia+siZvC1tFoREu17R7QyLmN9IZtG2qd0PH/m1+I/z+oC4T8k7IC/Q4w8DUszEZFSPac1SAu3E+QLH9h05LVZwJSipz5i1q5QqcdqtmphJT6xT6Zf2To7qHKOyxiCTmBvBcwl6oHoNj58pJH81IifN0GH49fayWzARDsJ+DQzPKXvB4pnje50671lIvmcx/g3mHx+nuV41cr1j+yaD3Ava+A4tf6ak8akRL49QUQTGVmAY7VkNQbWSqRA24VOEN1vwKUX66XHDfj81/r/GYKXcK/AKrJNg3S5gf4SfL+P1tyHDspxc/z0guEvOqqq676i0rEaRaIZlajGty2xuMxmOOBCGzbG2/3G+F3wjPz2EwRzXv/miuVD+Ra5L4QCfActK0VGQg/U+2w9X5mNB/ZzAmaReYUaWfOLRmcul55h+d6WMSUU0PgEMpas9a2tA8/LM3dF8thzU9EUr0ZCCaaTVKkVdpci+lemVLCrx/PIhTlsHNNB1G2vtFsywGhWS1t5U7gCbaaHev4OnOZRB1oWHsZkeUeQU5i1cJPt4e1gjlW2rdG2c0iuEuCumNhGty3G66ZY81Xi7zgfK4IKds3+PHjEzVLrWFoqhBb5317gxCe+87jkQPHtYL397RvPVwn1vJsbJllFQOUvYsK3PoGZlit/8vXS7nZbxBJZPMIVLZSUxqiSXqKypi86qqrrrrq36+tb9xuN2ROfO7Ecoi0T5tzx8dO8VUJkogEmYsoCEsUJZWMRkPpCUJ6Dh0DYQaks3uCbWqZt5hZxA1tlkM8TXBqrsWYI1n5QpF44wTm8lgE6becBaiVJWuSfyvPBcg1Q7QyCKWdSgQk9xcWSQ5K69mJ+0SqTzeqP1VLsNJaKTGMF9G51A8qRJRyAujaCA1iLaZHxc5ktuP+2Hk+d/bnns5Oy+EhuGx12K/4F49gzEnzha9Uhsp0Ngzb0gHhiEtpLYnbC6e3jUUqNEWC1ju+gjVnKkUA651mim5JWIq5cuYC+R5KqTqWo6b0ckzwyDyvNUeqO9W4bZ3wVGGulTZt/daxlra92jfkfqdvW6ogJF0b5lx53f4n3ZCuuuqqq676ny+NRadX/Em6EWymfO6L8Xigpty3jW9vb4g0OOM/rEikwT5m2qwWOOZzpKJ+Zi835yJGPp+ocr/fs5crl0MtJWEsp7eG2hsWTow8vjnnqcYHKhM5fQCIimuLinWLw668BDAezJEEmzmfp4NSJbtlnmFhEGPup0VpiPCPjx+01s7efi5HmtFvN/ptS1vT6pXhcBBwhJVA2uHw+Hzic2Di0DvNpPYiL/FPOjgkY1cr+iSFWTNdJCIb5cMi39dC10TDuW83zIPWFr4SN1krQUttHTFFPG3fUfj1t9/QnucUYtjWaK1njEwEn48HPz5+sD8Hz8eTv/3974mhWM5b5lysNZBezhavsTtLgre3N3rrxJiwcn+TpK1Gv9/TzYHAQ9BuCYBrAbGtpaXtv3CFvOoCIf+8Ds3xoQ48/la/kF8tQs2EVYpFKGBveYWgRsmdeakeS+2mpQiglJYH+Mihhjs+wIf9mhjIKwsi8xC9Bm2l9DusPHkBfJLoaSnsUrl4DChFg7V4BdHqS46tInXMh+1YpNJCUvFxqAaPipIKvKxHvZqZ4zReYORXBeH52ONRX1SGv1dP/v65AFYF/x4UhmzRlNe488uN4LzfyPk2h5L2NhzZIa9srRemm8+W77v+lNH4AoIrm9JfICQk80Ti9XYex3hqMuV3/xhfgUgqv0tfAPNVV1111VX/VommlTdSYN+ATAxw3m4bWpYuapX3Z8cgKQjPxxCeQygCjwmxaJWDWLsB8GwsRgTj+ZmvLS8S0qkK7D2tTZVSSkzm4wmSAKA1Q83S/tUTPDRtJzg2xpPeO90aqsYYk308id1pulDLnIcVCRA6we39G33bGJ9P9rkYc/Hj8WSzG2/3NwLl+dyJCc1uHLavqpqOC2K4KLfbxpjHms2xAYHpLE8LM7PcDwSTiJlDUZKmGMSXTOdUD6ZljmHaEB3nPsrXsT+IAhsFlZZEqYOYtaKcHKJAwHkShUAqC5sKrd+Ya2LS0tLVcp/VWq+fNbSVgsMz+2kexgq88ie99gHJuFQ0HM0xL899L7A5AWnIzIw1g6AByeyMuKQSV1111VV/WTU77+XhC5+jerGD2JM9rnbDrUMzXBUPRVrmE5rkPb1r7hFYi1iLVu5D7lG2YkdfD2pyAnwhjeULM8pxQU4Vfe8bpu21DwmYHoQEWyQYGSS5CG2oOUhL1n526zXwU2bNE2qiidI4bMlZC3dB1pGjTCofjxgY+UKSPgi8J2EqS7WuIaSVXKQ6YN+fjDnQsmfbRwKsb+/vqMJzf7DmYIw81q3ZObTMzMXF8tx/PPeJi7CkkRhkZ5+LVlata07WDG5vG10aj8cnMp1731CE51qZ0WSZ7di2UnaaEX2eA8fjGkBwu/dUYtxvWGuMMWAkMCkq0LQUNplp/duvO9IE7WkRFwJoo9/utG0DsRxQrsUIx5Vym8jyL9OJq6666qqr/verSbrP4A4zlYXZZQX3+41t23i7v7H1hkjnACGDVOQdNtq9twK/JszFVutT5IKRyr2RESD743H2uRnblf18TOf2dqc1I5qx70mM+Xx85kquSqssxDUzrs2KSBQkYOdj0ItAgypzriT1PKLETFJk1iRTeSx++eWXVD7OnbEm+5qMx6Btb7xrOgI8Hjsu0G73ciQyVKysSbPvvd/vjOqv06405+EjFms+cV+0WElaCk87hWzWv+wZyjEwgunBXPV9M4SWVvik+nTV/ok45v2NVc6K7pl9iSkmlta1PgmcfU26gjbNvYg2+m1LElMJrnqpInvPeJdWorEkTO2smIkraJznKYVHUvayIYaPCeqoCHOlTT4ezLkTBrYlUSrJYEnkcjT7+av+sC4Q8k9qymIxgRcwOI4gWff0Da5GxOcAn2X1kkxFX5FDzRCUHNYZegbNVqwjnvt4yoEzm5fDsqzomUGvDawArVgLZUEmJMu/bEKTkZ+WZXiq8g47lemZh6BSHtMSKUFPl1UQ0mqFhkVggElgEoSSYKkqPgO8I+JJyAS0mBDH88rxmyxesUkvADIVFMKcL9uxr4rOryrI43ur/KtPS9rze4vlM8HR+lkrFUirGzU+yz5HcgI7W7FMXgzPbqXGmMFcC4nywF6LyToHi2bZDB5ZkjnIDOY8WKyOS2QuR8R5g1URzqRfeLFVeSVARTWOmX0RSKRuhRAcTTuXq6666qqr/u1yfaYEMuB2u9d6tLJ5ILP9pmc2gii54S5SEpIWo+LzxRUqa5Zg4vuoNcMICWZUlhNH5nNumjFD1cEWt/eN5xjsviMCHx87+/MTUfj2/Y3ejI/PH4x9x0TZtsx/2vfMOui909uW5xaDCGfOnX086N3oNAJhzVQ8Sgv2PdmZY048YExn7s7buyGR+5WuHbs3bv0NiYbR0diI0LQ8bTdkOrZZZisqhA+Yi96TIJVr9GJNJVh0A9GFNcU0mNMxhFipIJXoldEEcwxUDfeFkUoTYvF8/AYO9+2N3m5pNu8r1YZOZXdHWslZQ2SitJPMtG3bqUL1udjnE4DWO6q5RZ4+WZH7G8iGsLWN57PyxaRIZUXaOvKz0czqWlFAaXvHPa14RToqSVAzzb2UrwIzQ/gdP+uqq6666qr/zRphPFfQJHvgx+NBg1zzCKw1pDXa7Qbbht02xBrLBccQa6eLkWmSS8bzyT4fNRswtENrycbXroREqiG1Myc8xgIS4Bw+UNt4uzfWXPTWsNYye3BNFqmoVG1gDQeGJ9wYarDdseqPx5wEUYCnE5J2qE2NZi3bTF9INGLOc/0Nz959WYJzHMTp4WhokneKqOSeffokMAtUUhGwRmQmIwsx2O4dPYazGvT7xt++f0dV+PVX5+PjB7jRb42mORicKHskOckJxljpDNVaqkNJ7nX2wLAvz+zk3hkzUM3/1t5wgenO04R5M5omcbp147Y19rnyXGtfMXyes4bt1rGWsS7PMZm+kJ7rcUKyjViLNYrMpJ21nMeHI9+U2/tbqlbtxsRSHXu4YYmxmEi7pRVdAcoRl+36VVddddW/WxEjAarq5X0tYg56y7zjnBMPPDZUAirFN7MAgab4OrKaA42VsSpj8Himdaq1hgA+9iSplHBIzejbhki5CPjg3t/SkvzzA68cwc8fPzBTfvn2nd6UHz9+5fl4IBjv7zcQ4fHxQcRiu20F8tVcYWXG5OPx4P3bd6wnKXbMHafT7p3BZKz06ImmrAkDMGmgmRltPe1Xb/f3AmMbaMP0xtZv6Nb4ZM+5fY3wY02mO9FBRuBr1FzcMs4kHB8T6RDizEhXpTkW1hJ01dZZEYy50LaBr5x7hLLm4Mev/0UT5fb+ztZvTDP2fbAQ2vs9xVYRaBjimeVsYplHGUHfah/D4vMxT7Vp71ta3YskYBgr9zOmSBdubeOz+v4Dm1BKKLUqdm9ryNbwcke6yVa4qxPzRqyJrCDGwm1juL4Uolcz/y/rAiH/pJZPvC5ThBTgn/ZguONL8TFZ+84yZVY47RxpwerzCL0vpuXxAbfKTDx8pmtmdTiGfv234xslvM7/HdieCGodkUgwkMpL9PolO1gEX7IXzazUjXIOTuHF4E+7lQQmSyN4Qp+Zl0CxPtrZpKAU4HhqRYEc2qrKeU5/ZKlqZl+sZF9/fv35r3/+ka1rqrtfDM6vasm5XnZ2xKqMi5StiypK5i4eoKaIMsVLbSG5WEUOCyv641REppLlUKTaaZUXEawopehxXpFQMBEJJB5KzIOxWuBkSOkqBBArIPSwt/3XeZ5XXXXVVVf9r5VYrVMo29YyBwLlOQbPsYO2zDnUwa1t5SCQ9+K8H0daswq5/q3M7lWFW+8n2SbZfEU2OYQKpmjTJLY0oZkw1xNiYarsY2fskzGd+y3tUnJ6lmSZzCiwYgu+rNdFMmzdI59vH0/GGJhJWqEIRcxZ6FrEnMUQ7Mju9A737Z237U7OKY23b++4w/6Y9NbxEJbnah9kw+YOlA2dld2JileOZhIkTeUEFiNyb0IpPjJfOlWKcXpKWIkFPElO2k43hsOR4mBcpqoirXUWi2aZ8yG6SILnocL0l1W6SgGWi/35KOanFQEs9woeDqx0fTgs6pJ2VY4UQO3N0gkh94ozkoglUaqHOCzuhZO5VVsV04ZKI700gotrdNVVV13111SuvWUFJpnbw5qVF7hV3xjMlXd1Jdn6asnKt9ZRa2fvrBHZn0lmDCbzN8HMtnWkd5CGSwJR6TSUSrvn88Fag26NrTW6GYKcDknWjCVkNnQ530g5IyVHNVWMK4I1B/v+zKzjVsTag01cLkSi2cX7PGxeBTnyCkVxU45oEtUkusZylufw0CQHiFGEZZUosoyz/LCzHbBmrremtJ5DWV+Lj8eD3jLS5P39jb61chrI12tmEFbAXPbwmCFmp/ODmKLxUnvmbEJqjKypVJAcIC9VwoywRkjk4HM5NjO2pd+3fE9mkpXyM6BnXx94du5F1t5kY83FHJM1RikooPdbKVDTvlcwzDq0G9I6YWnLd2Rzy0FkqzHItcRfddVVV/01dSgRDeFtu9UcO3jsO4/5mQCVCtI677eea2LNvV38JPLUipvrkwgmcNsSyGoVjRUr/5TaS1jLvMe0/ja2rbPmTviitcbnx4PnvjPmpPe3tEaVcuURzYxj0ZoTpPsPkvFbppqxJrXWj7Ez10Sb1WqVQpe5kjyjzbC+YXNye4Pb+zdu/RfmctSMv/3yd5YHPz4+eXvbimztjDWJYZgEUyY0ofXOpsKaqRBcu7AM1pLKQc45g4+oTOwot6DCHeD1JRWFJuUgaYKEs+KYqaQCtLunw5M0RNeXWb0gXnMAKdGTOqzcvbRyrZzL2Z+fCShL4R2nq2S6Is0I1POdznde6i3X81iFdEWUpJSfCs+FE5JkbrGiJ2nDLRDz3E+0ytL8nXvjVT/XBUL+Sa01K9/pkAXHK58pHBbM/cFuwgNn7IPH48H+fDL3nTlHMve/qP/MqgHSo8n4Z3Duj+oAuABef0lrUBR0paf1WisbLs8bQSL3XlYuCR4mozOfxj0tYzNv4bAqs7IsfYGCcfglUxatCtQALr6qHjn+fpxbWc19AQ2/nu9hs/p7ADJP8/XnkWv5Rxao/gVkPQOEjwFlzLwZrpJ6Sk3+3NNHu5QqR5A8kExPXaxybQkp5ujvbHgPVeaxGOVnJq10iCCcfA+O86s/5XUp85jhD25UBTiL13vBuaheddVVV13171c7chCisntV+XjsPJ8PnnNyu79yD4GyF0mST647C7MElOK0EK99g/+8TqQi8vU6akrrnd57hqWr8/HjVyBo1nh85vq9tVQ3hidY1szo7T2JLeuwkNk4LNnjsPJ2WNPLqpzXgI/Ks0QTvPRac0Mx67VH6JhtyHIQY1UmU1qipc3IDJCVg0hxYUQgHNerbOZLSamlCtTD3aEaLvdycdHKuloQrkX4kgQbKULPoTQ87WTjVA16kXhUldBIa9sa+Il+IV1p2rDm82bjElFuCeKopYuDytE6HbbxeSxHg5iOBVpbHvmyJ5OyYy+jgzQ0yGYxcmB6OkGopEvGkQsuVnuMa42/6qqrrvqrqrVW6xG0tsF2x8eTW2vcbhsRwefHJ499IHsjxLEtQAWzhtqNvm1JIiUdglQt86PmyP5QoHVDW0+bbYSYaR1O2bQ2U56jHJMIejtyHo8saV7rZa1fpglQmhb4WH19hLPvD57PJ7rdkFuUesFrnUy3gHyiOGNF4iDh1vp0zA0yfSaJNb4WLgWMmiKWa19EIMwkY7kwfCRR6vFgPB50Fbo1xL1cGA4ydJKwt9tG7w21coI4iLmShOBi+Z4E38NlAJEkFZXdnZD5zIQk4CjHWh25t+qdHlEKkkWgTE93qe12I8YosnDuK47XDTgJY3KcuzYiUvmSOc5FHpMESUUVacZ2u7Hd39hNkPYlZmdBFKCL1p7haOqvuuqqq676t6sX6VerlxcRfvz4wcfHB881ePv27ezFI1IHGRFM9/q7I6Xwl2PWHznvTzdDvqzDZanaWpFuOn3b2LZOs0Yn+Md//ifLndY6awVzLO63N7bezzlBs0b/ntnBz+eTiOB2f0syTbkEih4RHvPlHHiQkkTRSOBsRbDcwTOHsW83lA1rndbeYZ+ZiWzK8lQ2iuUatSKIw4EhjF0HXfp5TYnACxBVzec4AFJBWHs9tvrc9F+k1lTJGXpkUyzR0iZds3+P5cTKtXD4Yiu8wqxhOoHJK91Fiu+V74e2lu5UAiaa5CFfmOd+RqTozB6IyZnpSHC6UUXNIygy8UFwCiT3cF77iGOufyzbJUhqrR1aMw4il2rOGA472av+uC4Q8k9qzJ257CdQK/MdA2IR05ka7DixP5lj8fnx5Pl4pIx4rRNsUlWkabIULK1akK8KvD8BIytfSjTZdKLFZsz+omy/1vnLkCyPypWIAhc1lR5pKZqBuDNm5RbMFxOgAMevx5M2o69NcxDnjVDrF/kAI/NLitVfCoGvQ9zf5Tr+UcnZiLwUjud1/AJCHkqIeTxnPcY9fabD8wZ05DV6WdBQDV/ayR3qjRp4Spx/hiev1CNOVeMBlB4A6leQVCQVIkoOVNeXx0C65r4ual7nkJf9bJ1EXUPOxjM/e3L1LVddddVVf1GZ5TbIa5Mf7vz48YOxJtY7b29v3O/3VByuleuBr5OgFLEQ7YjDkc98DJgS9DPMUqGggK1kF1KKh9YPhqXSdOWmPLwE8sKtb7y/34FgjCew2LaN2+3Gjx8/WDMtX9/fvhEEn58fzAId51y4B2aNrplb1Pstmxpdp9Kh2cb0tJ5VbWmz5rC0lZrB+fXHjk9na3e03zJ/MVI94pGg33KACZIkLWERKwd3Z2aWxgmEBsXkDEM9sxNWNQEeSnjmI6btvBE1FBUU95ltQtnSuztjzFJYpH38qtQlIV0Q8JUD5Kb0smkzycZNZfH+thWYmMdy7JualtMBVirHXIe1mhU9v3J9jygbdj9IXVlRrhLHHuX4n5nlo+OPyEhXXXXVVVf9O6WSuUAiIK1h24bHwlRo/caci7E+eDwnXQM0IzUwSfvtUEQ6J7dfFJGFSkvVIg1wvNYqD2XOySoSTQ4/hYhFPxwQJEHCJDkvfC0KhXwp7UVpTWiaoNxawVyDuT+zD14LiYVoApAEaGjZeQd4OQ7EYtt6rtdWDP8i0sRzT5vRUgVakWIo0pDmwKF6fAcvtYAnwXmuzHGMINWipijGtm2VrZVuAsn1KvJP5TM+52QfExfF2oaqYL3l82ydtnW0N8JaPt4yw0rQ7J9DCMu8KIiMxwmwIC3f1kJLPaEC1lJlqSG5Z/PBWIt97PSaUziRAGxvtG1LoLh1eocunSY1iF45/PQIFnGqVbyibsTsHGk2y9d1lTzUq6666qqr/rJKdaGkpXmBdf/5X//FWJN23/j27Rvv7+9YS2V7zscXa42cFUfQTMv9Ln6e24piNJr0XJ9DQYzeO1qK/W3b2PpGU6UTaAhpuBOYKLftxn/87Rd8DfbPTyKC97c7b+9v/PrbBysCM+P791+IcH799R/pNjQXYw5mgPaObQkO3m63tC0faUNurWPthuMZH7LdDj8EJvD+y99Z4fz62wdjLW7vb/S3O2K5N0p70YUsZ/qs5BFFa28yx85a6yQ+w0sgFJrXAzFQK9JNFMiXilM/bACKpKOWfbYycByrfnquxb7vWEvcr4kyV7pOpatj7mk8gtY0yUl4Di3CibH49nY7nYwSBKX2VnV8arjoSyBUysfcIKYYKf9+/IzXjKfIShEnKKp6QqSVO04RnF7Cqqv+uC4Q8k/K58osooNCSJz2mBKBx8RnMCMY/mCN4Pl4Zm7kOtiOZRVqh3VnbsK1mg3410Dc13qBcqmk1LJVlWIioGWnGmnNlgzHQz2XjzPVtItpmZWwJLOgjp+VL6912Jsex3aqP/MHgAIgyw8bTRAyovIf9YvdyHlD95/O5fd1qiGPay15ozI77FK+/uxLXXDeJA6VSUQpK4RFMh/8JSesnMaFhOCxmK7IKsvbAnLdT9lnusySDWQOXQXLtMxkSpb6wULxWEgkeHgwLqj3QA4lY91Ev54z9RrUz9R9McHutZLB4f7lol511VVXXfXv1LEWeXiq2CtHYOudfr9ngHkRXXJ6x/nf7pnFZJ6ElWMQmBnqSrNOs46asoIMayczJjMzMZDpBZI5pkG3xr4vpi8227hvmVOUQ8qZDMfWc72xxu1elm3JqMlNsMAYxZoUpW8bZkrvW7IjrREyGDNVjiKd00q91qxACdkIvaECbWvQoLdO397QAuRWDR8DQS1tXuccrDUQHF+5F5pjJqtUpSI4BckESAQDSes0QfDKfPAQiGxsksrkea4eEFbKko5pY61gj4FbAZWSudhSDWWCfzmnXXNmZjTBKmubcKffttzLhDLm4Q7h9HbjyM6YDnOkfDPB0QSLJQ771sxx5rRwlSI1UT8vp9LlKwiJvyzxr7rqqquu+gtLLYdf5QKAOzJnzY4sGfPWStHwhvU7YpkLqdoRuxHS0rq9+nDC8TXTctxn9nSSCv5s1XKAleuqEz5xj8xCbIavydqfRK0beVhlaWaaa4oarHmuMxpRz3NYwcMmrSy+V67DZG+LOzGdJZQt3NFvZpb10d9vy5iAj4mvSdDpLYeriOByZDon4UipIduKk5yrakjPTGqDnDV6O5WCEVHrfpwZnG3bWFTW5RGnUmujmWFHBldrhKbKQYqQLKWaDJxlgYjlALKGiaqKLEd90ZDMifaF9czNivR2JdTxlSAic+ERzHBChS6CtEA8MOv0954qjCI2+5zMNdNtquYQ+1rEttA5UOtEU7B0lhDTU9MhcLkaXXXVVVf9RXXMh5MMkk5FAtxuN+7f3tm2LcmqjwcSuTYfrgLL01nAenvN5YkU2KjStGVuc7kZicqrZ/NUm8wxs3dOOx1aa8w52ffMk/yPv/8HWzMWwrKBCLTWU8hnxvu3bzmLqPPZbncign2MM3/ydr9jZvTbln9vDXpn+sJa5SJXRmJQWZco2m7IbaOJcEPYArbbjdv791QyRrBmEYVrju7uPJ9P1jPBvzUn87kzRpKWmhUZB0GsIZ4EL7GeNqnuhGiqCSV/LgcfBQbWrJ4ZaDvsdDNn+ePzQe9+7gXWLFvCUjXm+XnmR6cdEeM5TiL52/2OmuKkEMtxPJTttoElqWk5jLUYa9Z8oQBLNPcRIljr6Qrhq0RWJRgL/0kglb39Syzl5TTxVaB01T/XBUL+SYU7PhchfoJgcjAAqrFg5eBujMka+YuQvzBeNzH92Xa1BlJ8Uc59/RM41XVfjuRUxiU4n9Yux4dfawBpXk2GO+vr46Vk25YybVVDW8qPZY6ftsI/5S7qy9oUwIstcgTxat2stKe1WADLx6loDqFuHGl5dsKL8fpl/sqoOL4HqT7M6KQDiEx2wkspEAcn9cxbeF2TZJZGSd7li9VKApdRDJH0o1ZfyMrvpYrkOIEv2RPxypY8be/M2Wx7vYeHm8zrshfYnDlUEgXUuhOuJ6ibWZxfzu9sXNN+L9bLa/ursuKqq6666qp/o+SfSTFvb2+n08Bai+fYmXNx729psR1eTLwEmvY9MwdzSY9SSFJWZIahuECInRGHEQIuOTYUR1yY6jRt7LGzZioX3t42Pj5+oCps/Zb5kwSfnw/a1tnanbWc5/4E4my09uXM0waucqjVUG2p3NRAdAHGCsGsE8BYE8jXau2dtdLm5j/+479lQ7QPWr+lGnFlvkJ4KkOaKj53fDlR6sPwic/BXJME5TRZpLXZh47QCNqpEiQsGwGXAiAbULZyoQcDCZVUcao25pqMMQgXpHdMc/9wAIDJdMw9yNwX0hVw5njWsUFEZW6ehKVUzjSzHERLQ1a6Rqx5WN6lFlL1yIeUtFUlcyHPzZVQ9nKvPYphdUz8bg/2l3/Kr7rqqqv+H1ut3+mb0sVhWfI9fWWuUGs0bby/B9bfaPfvSLuBNdCG9RttS8WAqNDUUCPXt6mVS6Tgq0C5BBCtdZaneiAokDIcbZLWYT7Zn096RYJIkL17LGIJWmrBlZSfFGWK0xSGBGsNWk+gLp1mk60vhy0ZpGofZ63J42MUkJd5Tq0Zpo371lmqPN1ZY4KmzVpvjVVuQ6vchg6urHvgK/OPVRu0oEmnbw3xSSyQHszZ8DFpzehbI1bOB6w1+tbTBk4VR1KdEFKRMpoqz+WEzFQRSnkPFEk6PQ4E7LCTL/KuJVgZJAnLzFLpOQdhPeNn8HysGtKFRiv7Wi/QV1HrqHXmCmxrCbCGsMbO2gfLgzESENbKrnSB8XwgayJtR6LT5A3rHdE83tdI8gIhr7rqqqv+qip5zKli/P7Ld7Q12j374h8/fvAcg+9vfzutMiO8FPTO8EVUzl/EOrMN5xhJLq15NCUAWpG9O3CuQUiSYcw68GCMydY3vn1747f/+k9Mhbe3d6wyDH/78YN2u3N/e2OtxcfHDyTgfn9j3z9Zo3p5TRelIzrMzPK/EcLTEjxE63WDfZZF/O3Gdv/O8pwP/L//238jQvj4fLDd7wDoWkBZp+O03pkrwc91zNLXZO47Y0wkFmsZbi1nKC1V/9IaNMsoGnVcJBWHkv2+lGowtIFYXvvCNlrfMG3sYzKeOxEJIDezs3c/XBUPJeLYd1pLAtL+fDLnTLFPy5xpUSFW4CiOp3K1bYR1xgpW7LBqps+Buxz+BQmMRiRsE1qKSU3SsQonSHqAkKlzeq3r/7Nxe/9PrQuE/JM68oqsFH6kg1eCSyTD3efkuXbmcOa+2J+TuU9iRQaWtlbg2EvFaDUh+yMA8g8/sJKZRaZp59ra64PfWztnZqqOGLSmaAT7SRooELXyEBKAO7KH8qZl5qksaHlz08pe+Ap8/cTSL6sa6RnKm3egQNmSXRLrBPtev9I/n9+Rr3j8+1ew0yMB3y7ZjGl5fIunYmWOtFFZnv7TfeulDM2MK0h2Y2sNP7IZCqSNAgqTzbkAZ3m+P+GlLMFeIKRIqjv8JUNX1Xps2gAc5wNUgxTnDUkDKFVnrIMdsrCvQHTZziXBNtUkOcR+hfamRdx1Q7vqqquu+isqh3E5gHJ3vn37xq8/Phlj0ESIGDzHoPcNa8bj4xP3lZtZgcdj5+PjV1o3vn17p/e0BjEzxtNrqDhxFaQZbevnupG2HsIckQOzBj8+PnCfmfFoxgolRNnXSDu2uQic+9t7ZVlUI1SNx+dz8OPHD3755Rv39288no+0BPdU4j9+/ZGzLzW+f/+PVCBifD4GaOeX739jubMmED3XqFIGqii93fl8znIUqNOonENfq7K3jDkH45lNjJIZl9YSaBxjYH0DaVi3BP88VR9dU3HonoCp01JNqI2tJeFKDHov8DNSmbhtd1T0zM0ILecVPez00zpuuadNbUxUcxjaemYxSrJ+UFVutw2i5bEcwKMv5oSYCZ/eeionk7w0OXJCcu9U1kBl87vWTEWsp52NalnyaTJO10yr39+Ts6666qqrrvr3aru/sTUlYq/7boJrXVO1Pp8LtY1NwLY3ZggeQrMNaZ0Z0CWdhMTSjlTKji1WY/lkzby388XRp/Ub1oI1B75G5kCJMp8TnwsfO/ueCkJFCM0QkxUQK11xRBfj+cncH6gmwVZi0k1wn4w5aVtLJ4LlbKo54CwA0UutZ1tP14VF9rbSKBEBc9+Z+6NYvZaWcZGqxeEHYHeQkzWBPAfVjW3TUosI+ERUMYHdax3eci1MpDQJvGNObLaTIO3LmWuks4RuEAnGHpmWUu5Gub6WBfvK8xM7CM4vB6SDq7xEcGs4sM9ZJgoN92DKQky53YzeGoIyffL5+DwztdwhVBnL6T1JRO6kypH9/HzNOVFf3O53po+MgJk1YO2dpmQO5sUjvuqqq676y6s1o1lLwCiCX375hX/84x+p5pO0Bt3nSIvtrfPbr78yx87WN/DFx4/f+PHbb9x655dfvnO73VLB3xprpvI/xkQwtDVutzsz/VbRSPDTFwxZrAh++/W/mHMmkNaM5Y6YMeZAy60Igrdv33KdEsVZ9NsdIniOnf/8z3/w97//je3tzsfHB6MIvq0L//mPX3ESAPyP/+P/pN1uLIWP545tG3//b99z/Z4L7VsJoozn9Fzf7m885zgBW0rVZ5rKwYyhEdb+5PPHD/Z94DPnEE37qZTcbrfcO223FNO0RjOjaYPWcVOs39DW0p41gt63cx3st2O+DWuuMxNzjMXjsaMidE2yk5Rj05wDn8Fefbmp0Fujl7oyyhFSrfF2vyOt42rMsZi+47Jyj7cWGnDvW9nlR6loFxwODr1hNbeZ5X6wWatYnhQm9b7RmuEe7PteKlwrQdQVsfKv6gIh/6TO/J/DgiUEU0mGfUTadUUyJfBkU7gnm+Cw8JSDAX9kOZby4qC7/88AkYVR1YCKyi88FA4vO9BYgpHw27JSPJa9mJV68lQceqkYRE759aEkPMJ7VeX894OFEGVpeoCOh8JaSmnoZSeadjTxhSXwx6DrAUKeAGSxLV/K0Vc25Ot9edmWHaxIEX0FLqYEMTObqmFU1QrHredITmiBnZpZX5HDWtVW10pLURmn7jJvKC+/8DHGqY5cJdvGQcsKwM7Qzvw68ipVU9Ghp/K0n+9vnJ7bgs95qjej8kOuuuqqq6769+tF8IgzFxLKOrNC2DvQeyub0cnymZZupBJyu/XKWc51cpXtWniy71hp0XZYGci5Dqc678gUHGtPOzVtgDLGZMyRWRO6gSw+PjLzUc2ZEZlE5Tl81DreX375G7fbxlqT3pNJaE1rc/2k9Y0IZa6gdQNaKfU2RHvarRmZ/eSWVrIRpR04chZzrToUfmlpe15VVNMGVjXtag5bOmpPsPWNfSbImNZqrUA/RbQTYSw/SEBWRB0te9N8lUNDaJYNjMdrXY1YPPZnvS9WDVjHak+0fGeutJVRq3U6ipgVjkRasR77hGP/YwKkS13ZzD7zO5pgtlqSk8587lI7qOXO7NyA8Prcvb5qnxL/gox21VVXXXXV/3K1tmE9IzKEBLdsKzX7WgkQrSSXiFqq2MueS1QzN6lsvGhluw2Zm2QC3sBW5hKVm42viWZIMIIzp2d00RzEzPzCBNkCn2C9lxKhHiPZhxtJnlme1qqezT7SlFiTtXZkLNxq3yILQwlJVyTmjs+dtEoCyAHdGMpUJaIxxmKNhYqyJAHI0FT0u0rawpLKgsMdKPOfPAk3GnRJgk669uR1FxXmWDmvqNXUZwJ9HrmjWHC6KnhMtrsiNb+QcpKi5hSQlu96zleSDH74J0VZ0SGRChhVVgSTgN5YCHpY4LVAItUlW+9JAp6TFWUS31rufVJjyvSK4YHKl2zs+5N939nHjofz+fhAmmG9Y9sNzXfiNSc6k6/yea+66qqrrvr36+jhD9BnjPGTaETNEFP6beP5/GTfn8x9oLVem8P3sjttamnrOkaKV7zh3vJnl6CaVt9iVgIbgTg6+sxtjnIfDFX2Mdn3VOL1W67zHx+/4XMireEoZjBXkmRNQVT523/7D+63O2tNti1Jr1vruGeOZesbNMsutRSaWENaR1qv2cIizEDKcSBtmuDw4ZH88+V+yE99qqmybRtCGT7MgUSgkuTi7XZjl5YApBrSDKyXy8CWopsIlgdi6TDlkkcWhR9UA482PR0OD0tYPPj4+KSZYM1SCVouEWjgc7BKsamAqbGOmX0GXSJr4ZH5lHiRmdJvCZdgfzx++qy03jBLO90YcTpAIImJBC/M4uufX7+OucjVy//rukDIP6mE9A5f0RwUdrUKrvW0CqFUfzPzpGLNs4ERqRxG1RM4zA9klNruj8HHnyxRTyBOTxuV/EVMpYBKyqATVFTEvRgNlqpJkhly2smqVbhrgZDVZPXe8/5lL5/jY6hpluxF8S/2qXwBIIuhCMCcdRM5KH/yTyDkYUd2htp+WTxekvbfXYO8MP/0i34ClHk3PdaCXAw0rd8MIKwGoZyA4cFX9UjgMN8awTSDhgWD5SfYDKkqzdfNsxzDcX9ZqXoB0JsYVu9ZaKRFXZ3fkeUZkYHFKtnkvixpJefCkg1aLDmHviLzL/p0X3XVVVf9P7zidd9GhH3fWSvv8eGBmmTj0Ds+I/MZB4yxg+TafwCQuRYetulSxB/Lje9rG3HmOCtSgfcJbinB8q2WsSCWs3zCPmlb2jBkyLowVuYTqxSBxqMIT51ta0CRpBDMGq019udIW9n7Ro5bjW17Yx9RBKSOSi/bAmF5DhwlMlKJAiC3w3rlJFhpEXYCr3VYitjUdCN8sRxEE9wTSfcAZ8Pp+fNsJLpnCFvOckNKsVENi1utu0XsOUHNZDRGBK2Obc5c33OgW++1HBuWhvtgeIKVx7NpCCIZ2ClHpiOHMrHWbpOzcVpjP6/xrd1oluv3objIJ5Vz75X53D8LIb4CkJyHeTUuV1111VV/VamWmw5ATMQmYZNy3QZJlYJKsudNghWRqnZrlXVUgy9TDpvvHDRZLpDLYa6MaPG0QjfLdd0dVBYLJdbAZ5KVW93nfQ20tSQt+SpFImhY5g8ddmhrMWOyYtG8sdzBJx6BR6oPYg7CrAitk7U/GM8HVr1rRCrxmzW0d/Y1mSvSytWENQdjH2UlkMoG29KiLjcn6UyApv2rmdAkwdIZC/dj+BtnPx4keEjEqSR9PJ/nfkY0h36m/SRrablUaO+EGbPeq7Rie/XyEk7EKjeDzOU8Zgjac5DolrlVz+fOm92xLYHV3E4ojiZAHCDailQl6eZUn5u54hw0UyT0MQb7vjPGkxVpW/v27a0+DxOVVJ9GZVJS85qrrrrqqqv+uvIj+6/6+c/PT+ZaRIlG0sK00+83fHjaje+DfX+me547W1muq1RCoFA9XEfLajRMcVMwywxJck1QL4dEUpW51mSthRC5NkzHl9OpNUAVV0kL2HDQXut4JjubKm/3G0rOJRBh2zZutxu//Zo27/dvaS+aysY7ay7S6XRDtCWpuSmh6QYQqRQ6+85b6ycQecylVeV0OQJeBFsRMGGNgcTKnGlLNwjXLUHH2islYUvB0nJ9He8BgmkjJOcicuy/yNmJiZyuQr3EUHNPC/eQL2Skyu1UGh6LtSepy0TOfj8oYpkkeTpiHRlviHgBtEnk3p87yx01pd/vtIpH2597YhnyEmiJCafVwpc6cIyjn/+KcVz1x3WBkH9St/5GNwV39PAAlrQaEcmh4GSgUeq1tYiZiLuK/QTmWbEwxF7qvj9SBh7//U9fljcT7TlQbL0n8+BgHapk7kH5WEMeQzMppn8NDgsePBkRJNja2muoeCoH5KWeFFEkCjSUII6h65djP61O63HJHkglw/H9r+d4XJcDTDyzIpG6Vmlb68UkFITpC6dex45f7gP2POBH4Ly2ebxiioX97h0+2qMjyBd6S8/tbesIGZI752Lf/TzmQ8l4HPNhr7dqEKpINaqVFRXZ3KyIn47NOG5SB9OUc9h5ArSi6QobgUin2SXtvuqqq676K8rDWeulwJ9j5NpIWqMhueaKCG/vG1rW7M/nJx7rXDOjLEDSos1ocgPeQTphypCoQZhVluRBLFGUHGraJuyeaksRwHL9Xp7WbainpVpo2pxaBVGGY5JqTCTD1iHXnNPtAKH1LQPptxtjlnrQIeIgBbUcvHmCfyaWUKlEXZEcQ5rKCSZaqfdFE1hc5RbgpfyPiFJibqjlkNB9gSjWbigdwhAxskXpOK0yOcjh4MlZVE5KYgG1IoGVPRwUwQlAhdvtHfDKmfJUp4YTzOwhxBBJItlcTvPc47lS2d8JRGJGApJZWqpPlUBbDq17VyI8m961Sj1j2fSUwvK4jsf6H+UacXx20pK9ruc1qrzqqquu+ktqQeYMSo09WoORf1eJzPhpG4KxWoOVLjW2dbRZ9aJBBQGdrkZoZi5yDC1Dk9QakqQbAtVUIKqA10DMSwGZFm6puJjVM5++OxG4K2vfc8gZwVoJeO1r0lZHTMoCPV17XJV2DNhEWLGQtYg5eP42mHtawt62jdv379y3zsCTvBx5DoctWrbtOahLoUKgHszav6imCsRMaEbmIB5rG1HkK6VtuV67O82M+3bP/Gh39jkZMxWMXZXWN3TbkIpgyf4fiKC1zuFe5JCD0nB07KkoJaNPHEo9CdqE1noOKz0yo9oK8OwB+8Ln5LEmiiSxy3peTwKNVFQKQDkdaaTzxOfng+fzmcPc2w0xpfXO/W3L6BYCcU8r2coQTx3lpYC86qqrrvor65jFHhaZz+czCSmqyEiSz9YbKsq3X75lH7smH78+iVkAVs10fU2aNu7bDesbzi0jT5qxTIiW0WjH3VxCKq4tO7dt23iOnRVPEEe3clBYk1nrQrvdsa0zxkjiixpqQZMUGxHO8lTqLdKZAE2HgG27gSj3t7ecVxRpJrQhTU51Zfr5pBin2Dk5sxAqUS0Jy0h231obG7Uk4BzX8pjdt9ZppSJMF4fsubf7jdBeIGSRl7QlGeog2oqeJC6v2cehwjxYuKZWxF7PnEkP1BZ/+/vfyV7+yKcu4NazL5dmEOlaOMMhkvhrq/Z3BPhEewGsKwo4rhgUav/RGlsd85iTNUdiB2pn7vaax3NmHTjA75W4wIn/XPXHdYGQf1Jv93dMYM09h1IhnF4cHBatygrJjITKKMQpmXapIc1OO9SvGYh/9Ofx998rIQ8JsllKvNWSKZGb+2Tl+fFLsGbmJVHS4pbychFYcxKsUkImaJfAY96gTsvW38/A5LAKixQiHLJt6nnWlyFdMf8PsBV45WB9Ocffn+/5y1pSg+NnXuyC+GKX91JRvpQEpY7kZdl2yBxegbP1WNPz5yPmydxUq/BcKUJmSF5vPX5eTnDxACQPZWV+P0OJ3aMs2TI767gxnXa2de2P44oagntZ+/r6YmkjL9vaI3/yqquuuuqqf69+2jhGMPYdqSFUVHOw9Vbr6mHF7QkUKpg1ti2tW/K51pmtTGuIdJaVIk+TSRjzMPc+1qP8vxXBLNs1LQsyMWXTG0iwfGCa7L/lQW/9C8kp14d9f/J87tzuG6111krbFRDe3t+43e+0dmMfnwB8Pp5ouyfIF8JaFHsTLHL4ZpIbcKs1P2J+WWNrgx+p4D/1iRF42c3FCkRT9WFy7EkasRoRvYhKitKAtIeVWhuXy0tC6jlITs6VlBricBcos7fIJss0SUzLExxckBYtkcxOtJXgUwgqzN4ByrI9jrX5ACMlz6VULVHNV7NWBKJSv4SnMrMaPveXdbweg+s/+Pwd+5Y8pC/OElddddVVV/1blaSTJAGJgHqn3ZwW0DwQcSwyQ3gA2jJPkN5yaHZOnKK+0rosSSYJSkYcyr8o5xwF1tnTRUSODur+7r6YcyQAuQ9ipsVqrk9a7kP5mlokVSrmo6nWelLqfDInSVVyAFhODuILwWkRfH5+MJ87aw643XgzZbXMhB5jQOQ6qlrRLGZgVmtRugHMmedpalgpBg8HCI2yKiu7MsIx1zwnEdacbCZst60UCwlULt8rCiX74tbbl9eFcMeBW1nKBUUqWqkwjLGnMqOurVr6pWuztG7tmRW15uLt23vuM6I+FBpJkpbcy2k4fdtAlbFm2ty1VMiufdT7KDUEzfelmXK7daylg5IasIJFKWWPucBywg7r2Kuuuuqqq/6qSiVk/ARCWmtoMxgj5+e9oWsyxp7rSs2ULajsxsb0md/zRbPMgVZtiPVS9wmraYKKRd6Jgxxb24MZwQhnEuWuYJmTeN9y3ZuTw00vVDHtWFmjJ24Q7M8nHx8/eH97Y9s25pwlqhG+f//OImhb5+O5syL48flBf/uWswvyGObycvNJgvSBRTTVJNPO9QLToNbFilSLUpUewO5aRCwknG75eDOl9xvSNrycItIxIpWQobmOJ433mA8IcWhGC9+QYyZe+47wVy9srWHNiMi5uscr9s2aHU8BEikCq/gbDcVDq30vophXP1/7NF8LX0EXO19HSBBaIuiWQG64s8JrXxNsrSX4+TsR1ldHx6/Oj1f9cV1oxp/Utm01nFqEZ4jscqnBnNQQMeW9y9O+pfbRp2dygnoZmK61mT8+ty8AEgop+wn7+wpEpk2qVJMhJwiozZACrITjF6GOuZSFWjcfVTnBwIOF/6qXxUz+hsprGFfnqVKI3iFIyGf6AmgeT1VD2OOmE2VHeigdvzAHvp7rASoq2YQpJdc+FAw12FRVTPR1oyQtZo6DOuTT5wyxBoIJbqbKwPrLBjbii0WtxzlwDvGzMTpudEdW5AuEPFQNzlpxvpfLF5DX+7is2YS+cjW9DlDr8adS42Sf+DGWfH0WrhvaVVddddVfUmmnniBh5jzPtOKIGpKVhVhE8PH5wRqDfT7TDk2Mfsvg8+f+LCZmboCbBCaRm9+yNM3ZpICX0rLIPof6Ya5S/mkrlX/uIcKdvuUgz31iKty3t58ITb1XUPxj8Ph8ZlB6b+d6FrFQ67Qt1QRUSP1anjkNByGn7MdVSB5luRhY2bKrBnPWnqU25Wnr7sx1qC6/5CZ7hrkHi7ZahsdvHWtvjJWZT6Bpz0LmTkFlQpXbhHtmRqUm4zRiq64p/w0TxMs1AUAzA3NFNacupXyEvjXCBx6jXCtKATlXqUK/Oizk2pzvULFD69y69Hr/Fon1Zr6UB4zljJFM1sPihlKl5m6qlJ6SGss43mupBkYvx4Orrrrqqr+msge3UjFGMzyMvM1GRmZ43Z8r50nUCOu4SOYhV895gJDp+hNk70xagebCSaiwWc+23gOi0VuU9VgOxGapIGuqxufzg9YbunXUsrf05YQ5qo1DNd8qU1mbMovcuubEcbo1FhNKcTnHjo89c5P2J2sMfExWBA81cPDbO/P5wF3oYrSbldVc5jqFNkJgean5vCJEVGqUGHVJct1ufSMsj0FjIRQJW8q23hpzTcY+akiaexFRJVTY58gZixkmla9olra4lZmcvOeFrwkzQUg0bV3V6v2Q4PF80OJG67l2b7cbsSSt8coxylpDesckScWtb/n+eClZrWHlNOUr13FfQd+23FcpbLctMzghrXajjl8NRVkzQOs6/f/i43/VVVdd9X/jinByGuxnnqNZEXJKJOTu+Fz818d/skZmE481aP3G9nbj7X7n8/HJXJN9LaZArEHTG9nl5qw7PIWA55BZsp9LnVIpMnGwVEwKoDVz38yYuhNr0UxO++/jCQ7S83Msfnw82W53tq0X8JYRLbf7O5sZoULsI7OX16IdPSsUeJjraxKLMgautU5vShPl6Z+lVKy86LIzn4e17XHNCoTc9yfhi60Z29a4947db8zDul3TpjbKrhYz9BBhoYy58OU1J9efBU/FNxYrYU5NRlThsT/q/a1ZjRoqxtY7sSaTB+4B5Vg5dz/nK4ogKY4E0pUgyNkEM50j23anSTkWjFUYRsO0MdZkn4PlfuI4EfZyfTgAzfzk1aRAcg8mud+86o/rAiH/pLZ7I5bjofhMtUN5hIGUxSbCCNgxPseT5UETZeGYBrFmWr+Qw0AppeERVp71Aq/SLkbIYZwgtMp9EiQUkdysS/3ShyiQ+ZT5vFLDMjkBxCQJ5C+ieDIkYzmx8hfUyjLs/AVzKfCN88aYR1QWpNWQSN2IJTzBtbqfiAhNKw+RHAKOypM8Wf9/oABNZqFWA5i/uV7Kx4O1cigxpaXdjKnhQd1sX4O7Y9AHBpEqCCg2SjPEDtWis5acNraqBjPPD/bz/TlsUltraa37O5ZD+o1bZorNBHoPVsRPYOvB4ihA0lrDNPLaRhQYujhvw+c1LcXLwYi96qqrrrrq36oRD8KDJkbrHaJz226I6pkJ1ZqiBo/HYMw98S/LtUPbHZfFYzwZw+l6R60RC77diigkQo+OheJTgF5biGyWhixCgucaROTGd+s3BFj7ExV4/OOD/Tm435V+35hr4GOlRZoac0aSYPzGpt/xocwitUAqFKY7+/7J+7dvhAifn5/cbu9oOMshYtJ6o1ljjlQ7cIr2E+CbayBSfyqoJgFIpEFlIvoc+NxZY/L4/GCfkzkXt7dv3N9umHemGDE5B7ouUgSuyE27pAFrgnx+LIIEsEg1gkqSsj7HTu8KauwzwWBrWmzWw14uEDHe3t6Zc9FazyytZTiLNSctbgliemSTZpIK1FjV+GRexed6Msdi00ZbmYnR+obZDRFPpesYxJo5gI2GhBZaq4Qq82hgYjHmRMJpTTBJdqf1C4S86qqrrvorymWA9GTL+0qLUYF9Pg8WTTodRPaZt/ud92/fecydz48PtHU2a5zNf8WE+PQkypYbTxCVyZSq/7UHvgKNRpNUU6Sl2BNfwRoLQdh6Rw+Fpa8kLtd0bjpE7AmWtRwobr0nUbfB8pUsfYfHxxOXSa9j/fz4jcfHr6yxs398cOsbt7c7awyev/1AHWQ6/njStzt3NSSKKHs4OlkjrIak7l+U/7lWC9nrJmBnOI01F26G3m7EiFIodmY4+2Oy3Bn7Ot2YejOkdaRvLJF0PJDM8EI7IYq1DQiezyfz+cR9ssYnuvbcD0Vg2w3rCf4hhik8n4MxE4AUygGh9k2ytVQ5zEXrnUbGpkQk+IgEtnXmeLIk3/2x74z9yc2U+7fvRfAyROHz8WA+B9/ev6V9n3fUOysasupa+kGkuuqqq6666q+oMR/sY9BqPYmt8+1+T9tUgWaNzXKePufk8XywcKQJUwfDJs0Wv61PHmPStg3Thofz3SLV/pY25Iujp+TsUZ3DB8jZxxOa0OzGdn9HUHykheivP36w/9h5uzVa2/D1ZKycNas1fAFuaH/n/st/Y4myz0XgtGZsdyNk8bE/+f7LL6gJv/34jbdf/pbrbgAxMTFuracdqxSe8EXsM+YT1s6YOyZSUTMkiaf2HjEHY3+yP558fHzw3HfmnLx/+8Yv9gvLk0T8nAuaFDEpy8NRKbcESUtYsZyH4HnNUqqTToymynju9Jbg5Sib9VaAqRduscZCtPH+9q16/TdCNpxPQiZzTOStMA1LlygrAZVEulKIBGvu7GPHpzMfH5g1+rbRtzvNOkISjn3lfCDKkSlE2PeZ4GqJrUYE+OIx97Rq1XSOMBXu7ZrZ/6u6QMg/qW3bMth9WjIB4vdbRzmlxSGKy5fN5UvbzAFixakq/AL+n/YuxyMdwYpgUZYvJZcITzZHFPtRDkn1+gLw5ZOS3UGi8vmYPNI558kIOZ/DjuzIl8UaCOGUP/OhAKRCeylT6d9x+iLOY6Ke5qUgLFCxXtfrXH5vy3r+mR3dqZg88halFKixvrz+qTAspSacwOlLrXqoCVN9cag+k21xQLekpVxqrn86va+qk+MZvxx4Ml1UaeUnzXxJs49jPx5/gpJmlS/6Yn0c6tR87bqRflHI/v6SX3XVVVdd9b9XvhZYSvtFpQClJJqsELR3euulrC8bbxGMRmtC68KYO2OMZMmb0tuN2+0tB1OiqDTCjZh5P/cFaJwB6yH1dzH2uRP+RKLx/v7O2/dvfPz4B0LDdMtURjfwVdYkaRFOCEHDRPnlbzecVPo1VW73xu2+8bFnyPqck+f+ZMzF1qOsaCl5gdP7xv2ts2arLMNat8NZPoCFRyoyc20eaCRZa62ykiV4Pj8ZYzDnSisbSu2oG/sUdEVal5Ua0iOByK61RkfZv0ICkOu0mUjGae0R5LCulTht09O2vjFTnpl2asPZn89UVKoirhgbouBtgS8IRzTKai9zHLsKi2CfO8/9ke91OM8xkG2jiWbepTgRk+czAel0RogcFksegxxKGfhCmkoFJMWezL3H/L/4N+Gqq6666v+eFb7wNYroOVlrpKvBPgh3xLOrMy23AFOeRTi63bYi0jzTqlM0n6/6zjHmq9dVSQs3yTXazAgP1KVu7Ys5F4/PB5+//cDHZGuN+7bhNawKyZHm4ZJAJDm2t5YqizF4eKksLPMqW5FgBejRkg9UtmHee1qLmp4Ti24tOdDL8X3HqHX3IMKKlrtSuSmZpZt8BHNURvQxKzhsaMsxgNrLuGb2ste+Is+NM9fq1vpJ0lUztFf+5nYD2xJ0FC3lSUbO5GggWD4TDHx+wvqkTNqJMdltrzU3h6nKQaoWzJIQHstPsDEANC1Wc52uMaqmnW5Qa7gpWNq8i2lmReqLGO7hoGlHF5oAquqGas9hdlnJnpX88auuuuqqq/7N2vcnXaTWyk57a9zutyR+CNi2sfVeIh5NACkMYaN3Zds6+9qZvnAJxBrb7c7b+zuqmSOslvfxI74l59mHw98X0YjBmBOfk9DOt2/fub9947d//COFQ9ZAGmeESc2Aj/guEQMT/v5//L+INYj1wLTz/tZ5e9t4fj4BGGvx+fhkHzu3VTnE5JorEbTWaLc3nvsrLi1dExY+d3x/nhEyLmVP6spSYy4/3Qifzyf7vvN85h4oNDGPaMZjLhxDo9weRUjDp6CXPbuI5kocR8xKCbqAsggiXMrkMXt807yuppk5PSY0bSDKmPD52HM9t5rhW66zYjmfSFyAVE0C+P+XvX/tciTJ1TWxBzAzd0ZkVffeWjNa0v//fVpzdndlBOlmAPQBcDIyu3pqdKp0pDnj6I7KuJJOJ+lmwHsLttFwg8fxyf3jO4/5qE1WQ8Ze1uspEAtbfP/+kYrYCEQ7XUel6ugPlqtnnJuUO1Q6M1ptj65e/t/VBUL+QfUxMldoraccOcqSBEnEX04qoLyArhN5e75Iv4Bp8BPYxldA66UQ/JffK0m5z4V3I4bnBls0ORjxuoA10lLG4AlOWpSseh6Y5eM5h6raG6O3yqGKL4pPJ91bc9Cpmk1WqwtkZt3+iIr9y/GXEqS1Fxvga4jrWusJLp4Wp18tW+GlKHT358+BL58HKo2QH0NhI3jextfbPUHJE2ytgy2GSDZKp6/z87Hoz8/V6zGez3mLIFpDA9ZX29svCtCvx/PMtMzTXotRndN/Abyfd/j737/qqquuuur/o1rm3KSjNUgabdRGOtn+5sGcC4/gOI4CiXiulcdxoNLorWe2Q+tPdQAiuQFWrTyEsmnJhRlpgRaQRoFqWgMuSnXnpwNA2cSFCivAQlI5kAgdIdlcdUCbcMwPIjzX99YJpNT9JAv0fuc4jKYb2/ZOa1pWsv78O6IVsOYsm0Ss3NxjIEYj3SHMVtqiR+PxeHDbdvDA1kJV+fvff80cSstcim3siLTM1aTWXVqqIT0fT/nWkV/JSxEJFI3y6bKQuVuSKhZftXwqR7E2e98YbQNXbBmtkUQhyma2K9DzcfhKK9RGgpEkuIgbj8cHnx+/YZE2K6PfoBwu5poITngqIlqv/Ow4h7PK6CP3Cqqkq5vg4eyj1eN08MVyZ1Zm51VXXXXVVX+uwv2Z82Q+WetgHZM5D9wcjVy7h6Yq0SWHmtu2sW8bcx3YdMbo4P60QdXWiALYzuxGLSAypuewrpQFGesSrLmYjwfrOFCE0Tr7tjPn40uPGLVeezmkpVOOuGNzgRo6eu4jPDccmQ3d2LUTvgiBvQ9k21BbDN5xs8qx7tjKxzHXgjZoPbMSrQDO3nsCbUW8SufaVD9qGhKVzXwO7ZJUHEWlrXmDW67pZ1/elFFuQtu2scwq6ypdhmR09HZD2oa2holgnrErHAdNtW43rfPnSku1rTekCcsWcTwIhHFrtD5yFuLxJAIBFYXyciWCtHdN+7ia3Zx5X5DAY5z2cp3WN7Tl+T699t1yUDluivaRA83WKww695Si+qJFnyDzVVddddVVf6rmMdnf3tJdrg361nPO2hQjr/VzZS//+fGRM/UiEhGZwaij57qHMLYtRSUnCaflehhAeMWEeC6EjcALgESVsNxPZIRJ5iGfsWJIxai1JLeGCH3b0m1HGtJGRqiJMrpyfH5nzUXvZZGO1hzBeDwefP/+nc9j0rad/3j/ldYy9u2MQFNVxsh1NNyY6yDWTFKWpQtPiLLM8DURU5Y2Ho/JGBsRlZvZGv/r//q/0sdIq/KmbPtOG4PHKrCvgNqofcCLIPyS7qhIgnonyQkIiyRfWUaolN/6k6z7+flgudHGzug74caxJgSVL52Zzl0VNmetR+IFQCdn85DYiLtx//jOP//bf8PdkNbYb29EOLYm87ijlmCnCHSVp2llWs/HC8yuvRH1eE9iFZFgb8yDx+fVy/+7ukDIP6jMNxjs1cAQMB93zBI40vYKkc9NpTxhra9Q0clw+Fcg8iXnfn0vh25fAciTcOietqsnKHoqIk/ASjlzpqQypfJvwhdr5YfPA/dkTIyWUumhaVN6KhgswCLBQVYFstaFTSOl7aJa7P3z2BOQbRUK//r+j4/lZ4vSryrBE6j8Khk/AbyvwOSZa/kDSFuY4nkfXy1Qf67Taiazpkir28qLinjZ4JyAZpTa5GtG5w/Pj5y5ncVkRcDOy+sLCP2q6DxVoC8g9ZWTebJZvqoh40sDddVVV1111Z8vCaHJQFDWCkINdUHVWeasWPB5MG0yRtqgJcDUWXawjgORjqqwjZ2ug4jMAm5lw54sflg1vAzRUt0X/nhe1kVLcVDZSDaJo7KdKr9oRSoCRXvtOypTMTJLEYFjTY4lOKm+sMeB31dmWVqqKj4+P7EZhP/G6G9InQNBmSwiHmwFmp0DvwT4HIuFqCHLWGsy5yNZon3DbWKW6+Ft3xh94+2Xv2EWfPzXb8z7d4JkmG5to9eQ0CPJOyKR7NF4NSyvHKX8RPRlexPhiJ57CiugMsHMY34yp5HKyNzfuMa/rN+nvbqXEFHEcj+TNC6ESAXLfIBPtt6TjNXAYzFn7lGaDlqD9/dfCBfmdB6PlQoMFW77oKDGbFoj91pCKkDFnWCBO77m/6B3wFVXXXXV/9zVpci5kkOjEGVFKt/xwNyeAGJr+iThhjvSG11bEmaXpRWbWRJXI+gn6Qh5XrunCZgh7pW5ZGkfug5iGirK7XZj084+BirC8Xi8lHlSrka1DobncC7IbKneGr2NIvJWXlFLNcAhK4+b/MAcDRIM82CMwS9vvxIRPJbxj8cDOdfAUh1K49mXqiQp6mlFW/8VjyJBpRrSbJHTjsXyRZwOTJp7FCSJ3du+M8Zg3/d0ZVgze/xSdo4+0LGBKm7+dHw4jknvLd0KSvGSQ+aNsQ20pXrDItJ9YS36SPVLjgxyGCw5PkAL0HwOS09XBZVSy5R6tfp0AGzQh9FIoFlKBerLWBgyOrdtz9mMdlw19zKa0Suu57m86qqrrrrqryrVRu8D1c40Y7lnf4mwwvFjEvcH0xZNhLENmlJim4P7/U63/P23207b9twrLCN6KvuCwEJyjSlAUYDTmM+lyDlNGa1lfy7CYQfMdGQwt4w0AyBgNPreaVKuijSibEwfazGD6uWNuH/y6cb9+3eOuZDe+Oc//snDDLSxvf0CPbOcRTtxvxPSGNsbKsGKYM2MSyGcmEe6CDisebDmkf3w2IsklWv825a9+n/+L/8L9+Pg//Xf/jc+/jGRsfH+rTP298xuHls6NARoeM5UZOWcI76EI9YM/ym4iUxVFLOMM4tVLgEBBveP7ywz9pujbzlXIfxlyCiCameMjogjHdwW4kELULMybMj92ePzEzsOxmhPcpKvyRFpEtu3N/q28Z//8XcsgseaPB5J7Gqq3PZ6bRSRKOJMhCz0wNMdw81Zj8f/qLfA/+nqAiH/oMbY2EdHI2oz7MzjIMr9WVTRyIBUvgy16pMflHQ/g5D1Kzw39YU0/p4SMn9YL+8I8MhNr860/vCUTadEWEsKXbdcIN7pa5zexp5DUD0DVHPQ10IqWLcwvUgG4tMuVAT1hoby4vO9QEM5AbWflaBfwLbfUzl+BRtP8PGrzPn3/u78myeIF8lazMf6AvNOxUQyVJ7XO8z8ByBXRV+Ws1HM2Yhicjq+Xo9Tq0FR0Qyj/+GxKq5RWVk5/HzayP6bx5ygasny6wCFCtQtYLkw1h8A3quuuuqqq/5EmSBRasVlzGWMred1FyUi1/01nV9//ca+d5C0QkWMYzqPz+8V9r7XupVryXl9h8xc9Nw01CA0vgwaC1x7rnnOMqOJok1Y05lWCj+PDE1vGyaBagcyX9FNSoW5oS3XNYsHfhjmCaQex5F7hLJdHWMkOckMkcYYjRYt9zvtXJdygBqkbUsFSLKW8Tg+mfNg9MHeG6MrqtBV2fo7Kp3R0mHg7faGHE4ENGmMvj2P37OngBBWNQxAQazJJm2kG8OpPEirNKM1wX3hPinKFynmCEwM98maDyLSGrf3tK5zSysd5WQzNtDc8wSRljwR1ScZ+OJtH9zeb3jA43Eex2lZd7Jf07aNsrQjUgXZK8/ZiWdep5TyVCJtbpVAxWlPe/6rrrrqqqv+TNk6COt5iQe6CEsVescliqxS1JZIJ6DelbDFfJTSjkil+mMSQa3xGduS/Vn2izZz/aYAyH66Cq2JrVyjRmupSOwDcWcdE1bZjRLVV1IEFq3ElpOcKvRyPXDRIsk4LCd8phVo9aeEI63T9hv//Od/pWKgd/bbLYd27jzkN6YH5hSoJgitiFQtwUzpNG2YBrGsLOPqfiMJQLk/KUJQkaa0rFeJXB/HtrHve1re94GJZD6nWYKkqtnvaqoOsdx3IGllLqq1B2qVyTQYXdn2BCI9hLUs1Zwh2LLcb6G4G4c5XdqLeETksIQiPGmu3WevreX6RI0YXEB7qj1G6xXTYxUrWiqaMTgeDyygkcBq2zboo6zpzsHl/+h3wVVXXXXV/5yVS1deb9MK1dGx5Trt6Rh4uu/97T/+zr6NVPDPg+NwHo87v/3jH7Rtz3zgExyriC6vds/Cy1b8nGnH65ouiQ5Ia/m71SunS4HyOBbTDsSDpR1C6CPXDGmdQFmeTkeOIL0h20DIGDU7FmEHj+PB/fNOaK5r+76z7ztzrlzzWmds0Dz7e20rH8MyfGU2ZStQMsKZZhyfn6x5MMZgaKoKFei90779kha2mvuW92/fMgdS0qFpbBvSRs4WQiqETlKtSM3gT2IxgEeJrRKLkLIvVQ/cJm4Jkkok+KtuMCeTTyJaErm1M3qnt45jOeMvvKGNnk5GlsKtvD/HV+BzwjLet41vv3xDRPhcRkgSjk8Fai+HyH6SkCSFWL1v2cvX/sFO0VMEYUm+wi2JX+7oKaO86l/qAiH/oLZtYxsdzDmOiR5HblJP/E00rUnOvEBOZcNPQFG8QLNnyesvXljjSwn5tfJNWgwL6rZKEZkv9Px5F2EVOu+ejMaoMNfnxcfrOApsy9uOsieLGvplODvwZAgmIEnZrnkO7l7wXl7866IcPx391/Px/J0voOzPX7+Gtz/Wzza2X79/govhJ4n1BVbWLyGRsmqHGnTmL0s1OCotM6qKjfo6FmMtf6kdW6OR9q9yopa8shvz33i+Fs7Xx9fn/18epzZOe4Dz0UWdfzlfE/9ybq+66qqrrvrvreM+ifdgvG00CTzKeqVvdE27VC82fxJKnDkPzA6WPTiOR6raSftUYfLKJiwWfDiO1hoJp9Vr6OK0d02H0cpGklRSLjvzqoLlVruFBMx6uRhoG6gM5rnwAds+cG8sk1JsrMyg0ODxeDybll9/+Tu32y8Inc+Pg7XOxiDvyb1AyDhzL3IfPk4w7fn9KPDT2W8dFWVvHZHGmmkb02Twn//xnxwTjhW83d5pkZkY5ud+pQZ9zvOxRJDKgRpiah0DlC0+qTR0e2B21DC0/tbBrDKwLTLvq2tmdpUq5MyVJKgcrDO3O2pPkU3rmhM3Y987b/vGtCQ7pQq2odqTEWvG4zjobUBoKTAbt21HvBiT8WVYG0bvZUMbjoSVbd+lhLzqqquu+ivq/v03dgn6eK1tXRvaFRPHrfq2SLVCAKN3juPADuP92zcklKPWgezxijA7RqoYqi81M2xNfC1a9cgSmbeUFuS5zjZRGoJZgpDjtHojcEkbdoCheV+t9VRiuOe+ZM60kO1pI/t0FVoLHZ2mOSRrKoy28V2T1trKOt5rQd9uN9bjjkXalyUZNxWheva0cZJ7nVbd7RP8rJFj15bRMJ4qj1YKSiH3BK2GlX3baCMf62lVmvZtObiUCPq5D5FSryL0PpJwROAFVIo2mqb96Rg3eu8sc445mRZPQFK1F+gIreUMovVO1HkDnvcX52zm/LcVOUxy+CwtSWtj25nHrPU6f7dtOy7BUXuKXdIOv207oZkVec5Mrmb+qquuuuqvqcfHA3v7Rn/LPOFlThupqhcyz9gj1wLVzGqex4P5uHMcdx7fP3IuDMzHDpLq+r61UvOfQpJcexrtVPqUv42fqyKClFNiI1ZGuU2fmKejEEHmRGtj642232h9ENKI5Un0EWFrO96VpYHdFxGNFoPRNz7jjrtze3vj1//4T/72H/+Jy+DjOFgenM6ETZOMkxomT7CPXJ91DPCFL/th/qzubGOjleOCSONYmcM8to3/x3/8P1nAIri9/4JlEEyCvVJEXjnjXV4LnZKz+uaCFngr4YRbKj1t4fOBzUe5OeRC6masOYk5WQvatjNujVFr8Sm2Ou9JmqCRPT5ygqBpsf94PFjHZN8H397eks78yBzpVHPWXsGN++cHOgYhWuTlzr69Uzy1Zy+fMX2TrtnLBwmAumX25lW/XxcI+QfV+qCPDbOg9TuCpuS7jSfYlOyH1wb2rK/g0/n1D+o+SnUnkoh9XcwieAJiX8HLraXlWwanpt8zMdEOiqJRirmkcuJr4XOVdesC8xJfOE2Epo0uinjgcxH08reO5/GdGUyvbKP83MxQS2szvjzOE6TziGfWQl5IfgQiv9bPFqf/Lg/yeRzn+ZOvSpO6uMJTSXn+3lcA8PlhUUO/XCyk2JpaTZpIVOORmZg/P5c/51Ke9cyuNE8bmp/OzamA7L0/f/9p0XrmitRtqqQ9XDJRCzC+mparrrrqqr+s3rY3iLRifXv/lhbdEcl03zJLMRzecI7jn5im/afgPO53Pj8+2Lc9bVolFRcqYNIIauAovUhEUsSlAiEFgpVqe4I+SrkQQpNANLBwPFbhlvk1nvkOOnbG9p524uq0cfoTBMKg9Y3WVg7kpoEKt9stQbH9F7ZxAzqP+8Lcc0g4Rqr5dOC+aG2UxUlmaUUYkOz/ZQfg9N5qlpjqSrc85i7CPA6WHYztG9vtV3rlNjXNZirPb8DKPUZTfXUMOF2SQaoadE11CpLAoPhCNUFhj/yICqQH6DroA9acrBXQoUXPvda5h7DM/NTenrnZXfWpRiUcn58clTHRWlr+mGcLNkba/1hm0GeGCDDnKhByo2lPezjSDu6wVba8Cd7OaYgYkCCkiBfQetVVV1111Z+tVupBL/tws5V2qGNHt877La3I2+ho+avayWgnmI97UlMKXCQiVYgC4oEi9K1AwnlAGOErs57mQZgztoZ4Wrk3zV59mXEcB8dxsI2Wvb8qKspci2UTl0ZvgpAgo4SzDqOPDkIqD764+rTWSlGfashlmZ8krbPvN0KU//aPf+YgdezV5ZcV6sgBrvTO6AMXYc6JHQtU8tygOXSbBzZnWdIK/STzqiJLCAl6b2zjxlrGtm/c3t5wzmyuXGON7LfNnTUP3vd0M+its+05xDUPRu+sWjtRqSynG4OgqXIsS/WIKLbSYrVpZlv2vjFtYcfB5/HJMmPs6QTReiciMhMrnDKbKPVl2vaq5IBy15Zk7mUc7phIvg7GlllZkMrQnrb8rh3dbmjfCO24aPkd5O1fcsirrrrqqj9f395/yV7LnG9/+xtoKiL72GhjpMuBJ0z4+Od/S6BIAnF4fP/gt3/+xu3txmgDJfvGHuBqzDmzB29pc6qa2cF2DpIjFfXuRoSxV16zpjES8yQmzZlXfxEcI6SBNnrv7O/vGIIfjoycaZ/ufCrpjvD4bfE4PuhN+fXXX6B1vv3yK/v7N6QN/vHxYM0JLa1Je0+SkoWyjU70xoOFrUlTYRWxyEqxuI2BqrL1xr4NrJR90oTjcXB8fHD729/YfvmGiJZd/UbzVCdOz/xIF6Ap8iWyrYvSW0/cYRlDG4Fz3D/xORGcOO7EOvD5wNdBFGC73XY68DiSLL0FtDZyHyIvZ0GrfdZaC5uGRiohfU5kLT4/Pnh8fjJt8aa37OUj8DjYxp7zi1qWm3YilONYRAG2Isq0Cd7SOWvO/FrytWTlboRZKiLN8uurfrcuEPKPquy0nuyHMwNSXiy5k7T/NeA8f/J/pOJ0YuOkxZ3A5PN25GTmF7siccJULnqwjknX9J72U/E4FyzHp+HHwrwyF8zQqBSpU/1YtiUuxe5sCcKd2k6vCyZPoDUfrz2zFPTHx30e+wn4EYi/Hs/PiscfHudPQOVXAPJnIPL8+qWifJ151Zay8B/UlF+UFVBMmLSy0WJavsDPeLFCTrDx+W+qKLTUICdQbL4KFI2n/P7r8X491vP7X3Mvw39SSX4BrL8cfukrr7rqqquu+rP1929/o2+dz+OgtcXYb8kEbCNzF/2laA+PDJk34/PzkzDjl/d3trHTWjYdvnJY59IRrBRy8sO6kOuNPd0GTuhQ3EvFFzXEnGnvEQl6ajuVepUPHbAsSqHQkMjA+liWin5JlYWtJLlEeFqrnJahvMgxySKUyl+GPhq9bUgNIQNPm9UxOOZiHg+OeSci7VDNnDWNGGXVHgGkvauWitTW4uNjMRfsG/SuuTcoL1YtO7Yk+SQjswmV+xAQ95JBBu4TsyMVGvFIAJIDjwX405Zn07Q/WzPZqiqZfZEKyjJ7FcEtz3lTTTsYzcGmz8A8SIvdjrlm44ayzInHpHdQOc9rp7cdouGet+ueQ3Ar/Qhlx/skUUkOlgVLWxlfBXJeddVVV131p8smNu8gke6aTdm2wRhpCe6m5SzQ8FhFvM31IjkxqU6ItYiV1+ZzwPaY/0zQbIxccyN7aYVk9rul/aqeKcORQzr3JMj4aUWaPd8si08ExrYR68xk1ifI12rdnqtUfAVqOjkIU4UGuc7w6te/f36ibbFtNxThmA8skrbU+5bWr63RNMdDejr9hBKUfbgGgeGxMJtJoFXN+YjzjDCRRPIyU9pPJ6XUTWa7W3EmJ+Gm7isinZg0Ige0o9HKsCBJz0nQ1iJ+a9gT0AsHyp3KhbSWG1vtc4TeGo+1MgPULJ0nzmPHc0/gzmtkEZUPmQRlldy/Rdm5i3YkHPUEL/N1U89JAL1DywGtly3sU63BJYa86qqrrvor6j//4/9Ga8rncUfuD27v39BTCdlyXqvPiA2lSTDn5PPjg/Dgb7/+ytvbWyoSHcwNL6DNV66pEuWyJzlD1t6qf4YzyEyQikiDVPEtfCYAiVuShMttgKicRg9kLlwaXq4Kq5R0rbKX11rMY2LTEHVUG62AsVPB6BUf84qMEXrv3PYbKsJ83AHoTdm3wfH4zuPzg+PzgzCjN4Uw7p9CP5mw4kgLtjHot52xb5g5H/NgRtBvkz7SCj3CCalokt6IM+JMKpMbKiPbUwTkRlhlVLphBT4yH2AT8WT3dva0pg3hiFxFlSQ5u0xEzjU8CU5WMXJrppNUk8bymZbzrTO2HVpL7rMUgekxsRDGvtH6QNugbRtNFKu9i4XQ4nxmyccXkq5MFb0TntEtKf5a+Lpcjf5dXSDkH1SQns5mr3yDZ7A9qfZzT/TdT0YEP4KI//a24/zdrwBaXhxfysGX/egrE6K6Ig88yn5FAyQZerYWNhcxM4h3HQdh8wmmJslTaA5qOZgLzQsuTWmUhUpdJCUqZ0rzwkJZsWQWQoKV/wIofvle/BvY7PX4X+Dj189PleD5u19VpOe/PyohX9mRJwDYGi+LGk7g8zyCVoPOBJjjXFxOQ5wv959gYf1VDZHbFwDRzJ6D3OcxyGvIe36cmZdfz8FTDVmNy8/n51ShAvV6u1gVV1111VV/RY2205ty95n2LQjrbDpkPe29heC27QQPHp+T4/FANXjb39j3HbMEusLjNej0yMYFrdvQyh5uZd/lOA7SMgOwcpXAsZjgs4DMUjUUrfLkyZilBQiuKB2hg2e+w665VnnES81RGU8Aj8eBqjP6S9Gv0jitzXMvkv9mJqSBOAisdfB5/2DOe2ZI9k5U3oZg9D4QT1u3223HvdP0xgrFl+MmxIpScUB47kl6NVUhrdScX/xZI7MdbeWQ8zg+MXtkM9YcYaHiaDsbPBidVFxq4+GOSg4h1zoITwvVbYxsVsrudrTO8okCW994zAfQGNuANkCCx3QyJ6SxVhBlb6vS6zkudSTJphXS0SDCCC31DJKPx4PWnrsQzhfcutiTV1111VV/SflahE1670hrRLkHtSKrqKRNpjbNIRKpYmiV+ygRTFvJbC871nTOIZWCZticiKYCsI2OqrKWZR6RVnyJpL+Ql7WZHZOhyv52w+zA1mKZZXaltgIQDUVoDbr0Zy+8jsx4hoyOSaLPJFJcQU/mcNqjSWDAYStdGcYtnRs8iTHaMufQRWhRlqUFvvWmrFgFApI2riRQ6G7pymROIwk/Zz+stVc5Zyi5X+FJ3A7NYaujT1K3EixzZC7QSds6vTUQrWMvlScKOKGKupZtvtdzlTlWUc5MIrDWLCtcYdv3Z55XRtNUFmQBkKGnw1WUCqWGjkKR0PP+QjzzqkXL/Sn3QGaz5jSCjEFoDpadl2XvVVddddVVf12NbaeJ8HE8cq0hQSOq98tW0mnA2+2GH3eO+5375yeqwbe3d97e31nuPI6Z891ytgnLHC9tgoWgIXQ5QUirPtCfJj5PQrGnCi/mASv78JPsxIkleHAcEwslWkf7LXOJzXnMg5smIOgW2EqnPXOj7bmneDwezAi2/QvRuffn/gTKse+Z12zPXtOOUx34wdY1iccR2DGJbdF6BwINuO0D2W/0tzeiD9bjYEUkmdqSZGT1+Frf2G4jScVSqIE5q5wkfCYw52ty//zAHp+0cgLCDiQWPaJymoUBbL2jDWR6xeMIx3HHUfrY0rFJtQhXyui9XIZg3Aa2Fuhgf9/o+46KcFQkS6BMc8KcRuZNog1pA22diOzliSJBGUiHprlPCMs8yAJE6kVgBPZ0lLzqX+sCIf+g5pxEayzz3HBDQvonaFUA1FqrQKhXnh/PDe7v3/YrD7Fet6c/spTaLeqjwLN8YbdSzPnTNiTc00KVVEDYWqWGNGJaht0HT0ZnT1dm5Jz+1VXTJMAVkYZIex5na4r0/NBeeZPiT1DuBUD+mOd4/uvx+zDkz7arPyshv4KKX392gopfQTqrpvC8nd8D+n6+7zjVJ+dxe15MU3GRw08/1Z7VfPxepuPZcJ3H9WxOf2o2fv7e+feq+i+AK18ei5/PfTXCZ37FVVddddVVf64+fvvg7Zcb23aD1lnTKsy+vchAImgL9uH89v07n5/fc9AkypxHDbmCNYEYtIz3RZEC4yiArz4oCy/pxSdaBEKEoaRiMeyRgF47FfRp9ZkZioKWxYuGJVGoMpmRDjQ6yf6Llqz9VcqGzLXModxp2yqibKMyldoA0lIlIrn67oZqko/mnAlIRlqT3t5u7HvHbRU7MxUiy6LUhw2zzrZ3Qnpa2bcEYudcBBlkn1b3I3+uirth5kTZmkSkGtNjsezg8fjIDIZe4khJS1MRK+Vl5m+2lufGDdJyTvK4akDZew11TQp4HKhn87WNhq+Z+6atMyQyF8MWaxmj33JdloZIZmK4C2sFTQs7jdxTIe2p1hDJLMgIwyCHuJUponiu8xcIedVVV131l9Q+GqMGajnEc4QD1c6QBCWBup6fzJi0GSXIHMiy2kpFvZZKX8pic+E+CU+3IG0gLQkuoqkQsOWZZxjOfR4c93sO97aN29uNf/7z4CiV5b7tOMHj/sgIlbJs6z370Dkn9/sHj8ej1jJBcMwWkGpMD0dpoJLkl97Yxkhb0KZoV3rbafTKn0zVouqrB00xoyYQiIJCiGACsRZWoGuaH3zpia0IuQ6Gv2YCX4jaORtIgrMXCBlEWpXPSaiytz1JTa0hbgUCFknpXLelPUlSQeVR9s6mmeH9+Pjk8XgA0MbG2LcXkGrpT5DrtJRFfh5HWTAQ8hojWikwQlIxiuT9n9lVGW8j6YARmdmNaio/n3OHq6666qqr/sr6x3/9xi/f3tj2N/q2J1Wla6pRNEUnrTW6wL6Mf/zjH/z2j984Hg+20TiOA1XNHm8a0Qbae7kIJaAoDqNVFrGkaMckEG0s9YrVErAgcMImdn8QlvnQqrV2qOLSMkINZU0DLVccqqdUT8KLCE06QzumG9om2ia9D0KEaQs5qMfY2fedcbux7RuQOIbqgVvGszVNotXjcc/ZeaRjwLf3G7d9Q9xhBQ1BHQ47EpSVBtO4aUNF6T0zM1sfrGVFJpLMVjyzJHtGzJz3bUcqQv2YaRP/+OTx8R3sYCiMFogbatkLa94cLQpILdVnqDJEOOZKO9jW2LYdkXSqam0kaOmCRrC3DgZmwTY6SLDWZK3JNGN7/4Ugc6KljXItEMKT/G2R3bloS0teoQBJoeFY5LxkuiGezggR2ctzgZD/ti4Q8g/qcRxE78lyNCuEvdj7BeDNtXJg91TR/R+rKMDrFLolGHbajGaTc4KQr5yCHIpaqfbcC/SrQSTLsGXIyouIejCkAtw5B2Ap7Q7KjjX8aYkSAm6ZoxCpm0ZHywvN6EhLuxcSD61Mo99X9r2AtTwnX+1Tfwbofk8J+RV8bGf4LPwA+v0I3j1vLfHa530kc+Er2Aly5tXW96IsVFLCLlGD4Kh2pMIYpe7ozN/44XFGBfqKfLndf204WtkCfAVsv4KNT/WllKz/6/f9Gk5eddVVV/1V9fnxydgHbe9EpAWKspCWrgRaIJIGNfw7WOtllTnnUQQkgUgLU1Upog9pq6mN0TcglYCBl2UYTyJR2q9lTpL5ZK0jm6YtbV6TmGQ5LCtbk6bKGIPwlky8nHQxWkdYqezThvQGrjgn6KaZMeFapKdSQn5RB5xcmAQjndYFM17Ki32gOnh722lNWZLr1FwHLh1bjh2BuzJnZ5+KtMBjo7XMn9YCH3PkJxU+L7TRUzkx15O1mcBix8KIlXuk3oVtb6haQnilQg1WZmZGskupDK48hQYhlVU1MoMSoZd9rQbsfdB6oBJs2061k091hEcOYvvY6NJLRaMIDZUBIeWOcT4+JWOsFA/DIlUkqyzqIpzTfvbpQKGNq6666qqr/nztW6eJ8Pn5meSdlkM0IHu608cTS5JtslbSevPsv6qfFYSG0Ko/7U1xb5wzOBRGT5V9P2M5jlTi5ZofmCcguY0N6S2V+CqMLQeLaGUlN6FpR0VrXVDMUi05Z6o1Uu33cgEy8QLWUgEpmtZom2xI30BH7iO00/qg05hH7mlUO9QgL0G5ul+SkKytVIuhtJ5kn3AtReCXuBF3wmsvUTOD5GRLKg1LLZAEqnjerhj4ynO+LBjPflfKkSifp9QVUnOKk/h7WuOdRKTG45FqUbP8XniRo09nJREWmbPdty1vD57qyDOCBnKfdMbTaEgxu8/ImhwWh0JXUPPao+X+IFID8/+dF/dVV1111f/F6+P7b4zR6G83AmGaZe8aIBqvNUoyJmPOiZs940Pm45EOf0CIsmmjazGK3VnHAaHsbztnHuIsB8SIdD5ys1Tce+ZJr3lnfj5QMquwRcZyPEVGz7U1bcOjJSHILS3hRx95W6QzD/vOjElIMMZAR6c7WK0tQaAVCyKiX85O1Dq46JLHcL/fiXC2fdDbzrfbjqokSLgmax6oNCycx3JWCOtxcIgwLPBtFKk5lYQiaYEukXP6OSddkqC8jsyPjopdaaNnfqblXqursG+NVmRcXAi3XK8NTGeyjVunlbPAKcjpvbNvW7ofwBMzEKCPG52Mnxu3G/tpmRoppHISQN76nn9T5020JaFbNPt0KHVkkqa1MAGP12zAa0ajZE6lUv28fn0ervpaFwj5B3UcR6oUT0VfMSKClF5bgUhWygAKtEqU3L8iY/9Sp9oxgUj54SfunqyIGgRqCO5lg3Junj2PJ8HRdErDHFbJxj25nWn/lvZknMPOvBuEtBXLmCUBB6k3f8ong6YtrV2aIA0syONV4bRno+xLHLKhKwXhVw3kqRL8aq0Kvw9Afq1TrXA2Wqfq9Pz8vBCdwOOzV3zepv6gqsxzoZhHKV1OFWeeE7OJfz1yyUaj1ql8/i0v+f7T83sOcVXk2Xj9UGXDdh7bD/mW5S3N2XQ9n2crjmUeVWonrrrqqquu+rPlkdlGGT3QoA3mOlBPOxONRm/J1LflqHTG2IlQWq91FaE1penGNjLsXGnEkaSgaMpot3QcsNxYa9fn/edQ8UDbRMJY68FaD1pXFMUiAa10lknAS3H2kblWthqPmeClhJT158TNM+Ohd+xQbD1ofVTTocwZZW+ai6ZVLqJKo7dOG43P45O1JmMIbotj3kGSodh7AohrHsz1gJisJWxjT0Xl1hBrOI0VlpY05Hl+8OBt24GGxBd1ii82vSVr0gzB6a0xhtI3WNOw1fDR6UO4vQ1EHbODZYLZ8SQQzTBMjrR1Zcvv+4TIfK7M0s4lt0myG92M3juqEL5Q3ZEG63gwPdmeKkrrG43GNnZUW1r2R9rZgNa5hNO+3yr3a0Xaza0itkUErffKmmo0HagYo19ko6uuuuqqv6LCnHVM7o87iDD2d8a20XtDW1md+SJMCoQsyEg9+/8z1sMrUyoqBUWK9CNUlqIgLcFEVWWMTkRwX4sgnlmLIjDGxr7vQIKjrSl9e8MJjvnAw9lvt3QtsgQtF5lX6EoO/HpamGtvmVElPIdiljuaZO6rZH6UdkRHOSZIOisEmIC2tB0PGssD1koSVpTSUqWI0Lz+LVWglqvPV7egtCit0UJ9RA2BQ8lBX8Tz3AGgSf5yp+YLacsukkQdlcy9oohS4TVXeIKU5TAVZRXrhgpsoye5mrRPR/OcnFILl8zr9DitWBNNlpqf5DcLYKXyHc9ZUOSxCmXt27d0qIp0wFBSCZnZ0l9flP/ferVfddVVV/1fq8wNt8WcBypJIvWV81Vt6ULUtaWyzZzWlG3fMc0ZeKuZbOuNMXb291RUShuYpTsQMdlujkawzNI6XVLIEp79/pwHLRxsMR8P5uOTpsI2tpyTe/aGLk5oAze22gsshM9prEhnxa03wlLk1FuRjmfnPjPbcWwbg8bDnGOVS6CULXg4TRqtN7QFcz04Hg9uW8fn5PF5x+eDrsLWBg3BpnE8DtbnnSYPtv1G227srdPKcSncOY4HgeMqBAnM5p7C8nk4LN0jZGfNyTwOJIzeWmZx98YRwXrcidHZuvDtbaeF4/PBegjzcNxnYgprprNURGYsR7DmLHelRq9YFULKah3WMppkvNyaE9qg7Tfu949yYQqkbwwVRtsyH7x1lpVFfR85S6nnS1UTwPaAlvuQ5fkasMi/6X2UPXwCmhpOn9fM/t/VBUL+Qc05MwB+Lo7HgzWPDKX3/Ihl+DyIdeD2AFYxKYKuPT2CW0qIX5mG1EbdiQq2TxysLMlahraKW4boFry39Z0ohkGyDEkZxbEKgEwWBp4KjFieeReqtDNftimr7EdOAFSrsehNEA2Iic97sj1VwYIm2ayhWipKxRqc1M/QlHVIhmggTZAz4L2yI3+2Vv05v/Fnq9IzP1FEyoYmX66q+szgOFWFJ/sx1ZanpWwqHKRsbhOkfO36t9G/3H8Q5zD6YQXQpp0bJGt1LU+rllNmzQtQVCmPb5InaxFErOdjOTMiReUHa1gvFWroq8kMAtFsCFXTF9zdCQucictLhXPVVVddddV/f8lu3P03mmzc9ne2fcelMQ/DptcgTVkOLRr4hviOm5ZyoQGpmBtjK9WbQ6SNp5a96T8/fqP3G99++RtmxmNO5vEgwwUcWtA3xWOiArYOjsfE5EFrjTWdZUrrN/btnSZBc0NtQWSD4ghrGSaaDPzWCRrKYN9uTPFkdnqw5mI+nLXg9vY3jiOwaKwZvL3tuHQOW6wwlk98BW4Ti8XWMrupi2OPDyKc99vgviaP+eAxD3795T/Yv73zuCcz8zjAKVBRFtv2xn2m40OQGYiqqVBsGrRNsa5JMmqODM29V2U2DB0JIJrQdUu7MxdUBhFp22qe5zUt5ZKV2LRB70hLNqhENlEapNWeJuFrTrBIe9X77Jn5gTO6VrMKTWA9HG0QnkCj6ZGKzYzJAsp9QlLFkY3rJNxTcdn22nd55ohEKT8vx4Orrrrqqr+mPJh2sJazv93Y9hv7243lhq0HEpUbiXI/DG2N3hQtRUO4FxiWioomja1tiDYOsyT7wDMjMKyU9yWkCGkYkrZrDre+MzZl74O5JtOd1nfGvmFuHHOCpDqvq3Dc7yzPNcLdmGb0bSTwqI02dsa2wTqSyNJb5hG2hkkBYK1jAU0H+34jAu6Pg3s427d32vYO/ZaZSBYsW7mGWUaVLCa6Mu8wKgMzI2AOli96e0/FSVMkeqoKek/NYhOWwAGIKhNHx2CuJOeMMdJx4JiEAi0Jwx6TOYMWnTKyh/AnyNcQzDNf6pkt3QS3g3Wk0mI0SQs9IXOfdCaC3AbRO64DtCUImbdUlngAgi19ziuibGcpJcU5gM5/s4NXHemeAU8AUzzVtrOcJU4Hiquuuuqqq/58tQGP44PRFrf3X9hv6d4zbWHHAulE60UwMR4SzPJOHyOBMSJ4f39nu6UduhVxVXSja7rc/OO/fmN7u/H3//wPjrV4PD553D+egJmE0bKrpYtz+OJxPCByvzDNcFHGfuPt268Z32ITO2Yq/UTLlTD77laMJ8eQ5vS9sesN1V5zAeNhixlw+/YrD3OWB+tYvO9voErEQnQBB/OY2PFgHXd2VRogy/j4/omb837baaPxuN/5bU3+tm28ffuF+7JUkNokHgUMRtC3GzNWEqs9yVwiwuiNWM7eehKIHwddGrfRsY8EJVtL14imDWi0bcdD8OnQBWk7EDAa0RqhaW/eektrdd2+ZG8LSE8cwrOXj9prWFPcnDvOag1kp2tGsFAZkvfjYGxJnlrLGI0UZXpiAEk2zz1NkK+ruQ7CPV8/7fZUwIZbkscIdF6uRv+uLhDyD8rcKt9g5gDOFhEnCOgQloBkVF6Ev5SS5w4z4rQiyY3tKwuyZMdREzI4Iaiy/fS0QqmfJGteirnvlEkxWknv7pn9GB5g8bRQOcWTL+VdfXzJoESi7F7yc1ESX1QQ9ScQeh7LCb49Q9bliy1K06d1zYpI1mPE00r2BP5OZeOPFnAve9Of1ZIvEPeV8Xj+ze9lNX792/rJl9uKp/1cysntqVA51ZMi0Hr+bYtAW6o1/FQwuD+biDjv93wWizH71QLWcTRegOvXY/zxOL8+Z0D7SSF6Kbuvuuqqq/6S6rfO/r6hPe3GzQ9CRl7/VcDq2u6gfaO1De17WnW1wBFGU8a203vnOCZzLZQAqYYCMhTdZmY1SeAszBfOTBa9LNwXZguPBaTN+nHcud3eEvGKwGylWr+N2ndUJuSp6hd4PO70ZkSfjBZ0TVDyrd3yWMwLVEu7sON+YNFyvZeyNYs8Ziu2n7jhvli26NrSWkaFuQ7WPECMFUc6QVQ4/OOYHCtQGby9vzGXYitVo5ldRZKXCnRLkpCXGjPZqVK5lGErwUTVyrQoC7qyQZXKj0g1a9AqPzKHtB2iIaQ1mp/ZVsRTNRlCZmFI7sFCFCebQdGOVuZWl5akrjhdJTQBSItUQ3Yn2aBp+Q71OpK0rKH2F60JTdNSt7VkeCYpLYel2i6y0VVXXXXVX1FrLnpX3m439rc3Wm/cjwfumW2sAW4LpGWWsgVmExOnkQSZpKuexjipvhNRnFWwVfWjnoPICEG9lT17cobdjK49bdbIXKLw4O3tvRSZOex6e38n6czONEd6p7kzl7HmZLnRWqf1Tm+dPkYSdQUmE+mVZ6W15jTBQxj7Rm8bUb33L7c3ujvaNkbbUEYZHKWaUJsgHUICi8mcllaka2IrSdfEGSmSxy6a2cvaWiocc1uCtE4UUTlCcn3VANHMm4octgoJZDZtOeyryJvR0zIfT3eos+eOEIgiO58fRJK8Ivc/aLpKDFXuayEjCUva05IW7dxXPJ2HtCwSzJzeRioa9XyOkwQudaxCzUpqlKP1xXOqU3uMc+YCkrOatMz6H/tGuOqqq676n7But53bNtCtpxvdWk8L8CYt1fckyNT2jbZttNtGzLISRdj3ne32xtg6n49P5lpJrBEn44hTlLTmkXaupb50tyQxhaFuOM6aZUHqVhEuzu39PXMhI7C1mMc9CU/9LTcIdYw5TheO406Egc/MhhZJC9Z+knej3ACzr/78fGAiyNhomsp8VDiOIzMQLdfsdRz4WvjoqYIU5VjGPA40PJ2U6njMFsfxYC6nbTfe3t+ZIRzmDG1gXjbpJaA5176IJNaK0imFYhGgc83U7M8rIiazMnu6FPQt+/ZaXxnytEoN7UnuHiMJ16crgTvOQoKM0wlJy1cBlyCaICNt+VNc9QIh0/6W5/NyTEN7EqTMk3CUm4LEbVKkdIqY8l9tSh8j9xBmCW5GIH3+j34r/J+mLhDyjypKZVdB636q0up7+KlS81PiWH/3Ase+gmIJcsUTqDw3qRTMRzHzeX5+3qZkc1Kb+RNoTPtUL8AL4gTSIj2Q45lncSryvjy20xoFyic7gTlpihcI+QQIJe/TxQuCjJflqb5YgqcXc9TF58xeeAGiLwAyLc/0h4zE057sZxDxKwB5ZkF+BSu//vwroPlkL34BA3/vGNzBPRUlefynKkOfSs0RglUDeBxH+oZ/fW5//vcEpL8Cke7pWx3/2nj8YEurX+1jv2ZIvhS1V1111VVX/bk6s5aIwObCJAjNpiVzFTqZ9Zfsu8xgSHsW98maCw9lBGDO/fFgzkVrsLdAR26sp01WGIc9asPthHop8CdhByILWw+Q077DsRXpBFDEmOPhzDXpbdHFnkBY5jym8UIU0cbdWEzCD0QXUcCbFzrWyzrs/qicBs3hYESyKCdHrbdRG2rL86A5+EQWaxnLHJnQt04ImOXQ1+3AprC9Nd7f37l/LO7L6E3q0XkmJZ3TXUgwzg1U0omgVVbkMlo71QcJlBKBu7BW3qeZFOiYw72uqRRBFDwzHlQa4Xqe3SQ1xUkDSwucpGm1tItTQaRnHpYEvfI0pYbDZ5051ZQDQ27Lzv1H3b6mQ4SSx671GFUV3NJVgidN7Kqrrrrqqr+gWmuM3lNJJ5knZHM+MwC9hmOq8XQKsHmAOGM0tt5fBNRI1Zt4xnJoMeOBshDNGzW3BOrq/k5L174NRmuEG3NmDnRraY9qZR237T33C8fjvOH8OBX9rSXIqRVTYguRHLDq2OgjiVVL5OnUYwF9v9G0Mpl7Y7+95ZyhsovFXzOBRs4DMlTLEVfA8Zk2p7YWthYqOdBbttDWc+1Gys0nFYyqUkQvhdZSfdE7Ei0zK1vmc2rrxPIvfb2ks4E7/nQ1O+cNkAxszWiUWBmZU7MTt4KGJQnEraeV+rbdiNZy4FkkIg/wei5UlT5y32BzYXMiPdB2ZmApEcqy+RoYn3MRqMiX2p9UthfwJGJfddVVV13115ZWLm/mN06mrbTErOs2rSMyUIGxNbZ9Zz8Olgix0p1ImnILA4OPx8GxJq07bz33AW0MlicReB4faTEeq+KBA1uTOZPctI4H4euJGczD+PvfM3f4sYy5nHlMWpuMLUnIePXypNuQNEWL7LPWJCpv8nTpC09VfW8dGYN1X0lKqtl2RPB4HNjjk7Wyl7eVeIZoy/zI3vHlHGsy50RVnhnay4PjWBgHR8Cv3zZ++fYr34+D+fmo7MVy8jmfg/RMT6KurXRjUqFp7oMej0krN0eRnoIszVzLaZYqzhBEWxF4hbb1yqtOK3RpI4FIqZY7yrUqT0tmTLtXvqcU+Vdoo+eeyaHFC4Sc7rn3g3QrWpO5OjR92spLEcqhANRo9J77xVaApJblu0UJzH5n1n/Vqy4Q8g+qycmxh7TV+gI8xclw8yf7MQqNL6oe6fGSA7x8Fb+YkqEnQFWWoQAovqy+l97Lonlxw18DKrFS2nkCjzn5KzDUo8LXU5FA5CY7976VYXDug0tpd+Y0oJIXvSbQk/VBgXhmaVUDQrQf5cVn4K+IlJQ833jtS0ZE4wWynSDgCQR+BetOgPH8XfgRfDwzIZ82p/XG/5oH8XN9BSXP+9y27QmyUjmLP/7l6/ZFlK4NU3uqWa1AxYh4Bhufx/8v4POXf888y5/rBeSerMqzYflXK9urrrrqqqv+fD3uD0IW0hRpG9JaDu2Gol1ziCYbvTVCVq6R2hAa7pP7cRCPhUMpIY/cXDeQrdFG5hWYC8dcWExAcLW0WYkE7I71WZv2A21Ryj4BhTEaQVpzT+G1DuokYgJpDSuitMghZviRjYvNZAfqZGnU75XVmaVF2L7vaNsRGcyZ+4fjeOAygaCVKrDpoLfO7TZoCsdj4i70vrNtHe2UUtMQhNEHYxuIBzEXdhzYYUTbEE3Fo2jQ2pnlHCCWQ8fIvZdIWauuCdOfg9YES3MvZGsxV2ZR9N4Zlf/UQ8puVXJQSVnHAy6peCgjCQTNjO/aspX5Q+5VCnhtmhlb+bS02k3len8cuS/R59oPT4eLr/uAWuBV8rlAcgB+WsqfrNI1L/bkVVddddVfUb0lkHg87rCM1htekR6ZhpFrquL0cOSx8HmAGiEbocKcR6rd06Ime+YI2rZ/AcXSnp1wJLSGfovjOFKV1xrmxiPSJrzvO7a0cqEto0xUWO6ZK4zSu/J4PHCHsd0YA+ZxJKl1DNyd+zzy71XZbhu63dDRwQxpjX670bWRJj2C9NzHnC5mCdylm5LWLKBrLy1mrlvaO0065p+5nlYEi6AgadmqCKqjYllSCZnAZKONDvW5qOYgD8nfU0WQJAmpVA5TQAit53xhzvUkYp/0n5MUpSK4CO6L8FRFttZzMEqOYMw8h666ZRaXJBgbka5GWuu+eBQQmpiylnIRrygb4LTlzYrXf+uwzzb9HEALp8PSOQfhGlBeddVVV/1F9fHxgc8OvQgvXenbznZrqQrsg9Y22mgEZX26ZU7jwz65z4PHPJ69/MfxQQC3sdFHRq+MfWBhfM4DWweu5ZDTAAumT+bjnkDfmmjZh58A3TZGkpLiYH4BF80Owra0MmfQUvBP7x2vntrnxNaBhtGavBYZcr10M97f39FtQ7edZUmMvd8/iXXwxBVI0k8fO2/bRgt4HN8xhO3tjdvtlvd/HESkQrD1wS6NtYzjmByPB8fjoI+N1jphGR83WkespUW6W5K7wyvKLSNdjvv96dZIiaUcMBf+OY8k/nipLHv28rQdpH2RbmnuS8j5fQKFJe1S8FCcijiL04FIcoYxGuKCWAq2RBpjGEESgYngq9DppS0r3Idyw1Cl0aj/52zCX26Jdszcmx3H/7g3wf/J6gIh/6CS0ZY70zPHMeXBFf0eZ2ZjNh1fJlo/KSPJXbBI2o1EFAvg53sMwvzJqYvygkY0FQ+1AZdzUmZ5P2LxVGO6e37NC/RSfSktqYbjBLfq6vi0SaGldYu0yO8TTxZiRLInOAHLAh+hwEUpu9H6vpbftErZj/y06f4KrP3vWbCeF4O18mJ8KiZPIPP8nVON8PV+zr/N5/OlgOy9/6Ca/PrhJb9WsxrYZo5GaDz/XkSeasckZL6ATvcEoX9P1fn7VrE/Pl79Yrn6szo0VR5XXXXVVVf92ToeD/rYk8gClXlcI64iGklLl4DHXKyV+X6tD8wNkQdrBY/jILkzytg6276z3XYADEdHqiulJdAVkVasFg8sHkRk1lKrpma5EWH03ng87rjDWlKEIsHWgY2BhyFiqWJQS9VCOO7JrIxYhFqBY54sfo9UK6brazYdLYFOVU/F50xVZGsdl7SRS9uRzjZuuM+0dxtv3N52RleW3bHpSARb27mNHfPG42F8fnxiieHitmgMwNHKpW4th4TUpj/Vmrk/CV/ZqC2j95fvmZA2LGsaZqSuMhrChkpHPGh+Njjnrqf2RZF7OJezoegJwIbU85M5zATsY8uMLTLXUSL3RqMP0CRIqc5no5NsyDMT8nwpFQEsvqz7z/U/H2sOiAuE/JIdfdVVV1111X9/zTkrtzFVe00brXmRVka5HOXQLAzUjU6u9V1eJFvRk7CbFp8hgpHqRC03AoAIodNQcjim2lCUpsL9kfbmTZWt5YCUpTzu9yehNSwwT9WlkoBhb3ms4ZkDtW2DbQzmMdPuTaCPDtrRPpDWcRdCG23cCFWWpQKhaQNpTHcWmZ+kUdSaIkVrHwgFpuI5IyCe6odUYKTyhCLj6NhoYysHpIb2kbfTE5D0llbngWBRigLOUUmtn9JzrSyLglzuT0KSPfcJrbVyfcj7EhHEg2mOW0XAnLMUD0ySHGYrv9Ze9uea+5KhQtBYZjkoFUnwet9L1ZgD43qGc2Bc85QzdgcJlhujLOIShEylxFei8VVXXXXVVX9d3T8/6fJGa+OpTs9m7iSIlBBFO/fHB9MNWmPsO+7O4ziYx8H9OJKIpI1933n/9s7b+xuq6X6ERqoiezkoxWKtgzkf2JrlkHCKU1IoJBH03rh/fLAiMhfSQRus4yBsEj7BWzrjSJJcsbR5XceDOA6aLZo6STxOQ8RlwQpwU77t76mKVE0ib8WeBbmWKcJjptPQ2Db22w2fkxBlf3vj29sbb7cb99++g6wE6Lad2/7GDOHzmPhvvzGrmTYzWqkeFeiFJaRwylMdWoIoFYi5OO5HEcB6Pdbs6V3AQljPBXkg257uCCEFPGaPfJKF0k2JijIpzEYVj1nkqiQtu+fc5TZardspLisRJvttB1JNeb/fn2u1aq7jVlFtAU/BGUKS14t9FJw27kJYkrfsdEi66nfrAiH/oM7NZeY/5mbydA5TebHx5LzK1RvjBBqJQP38PK3GJK8fP9yLVNZjgvrZBGjUZrUlHe+cScl5HwV4auGfmQdZQCivQddz01tvyMwmKmBV4hlJGVq5rqcNWm38nbKadT8tq+u2G+chlzKcr3tr4fRLrvN0BiTxUib+bJv675R+X1WQX//ma7bkVwDyqxrRvwzzflZhnj/3L2CiPZWYgdoLOGz9Bdyej+uZiRkB8uN9fQUhf0/Z+Xu5kD88X1/O0+9Zz1511VVXXfUnK4LeB9u2Q2UOmRcbzhx8Id4QUY7jYFradY3RQGDZzNmTJDmn98HtdmPf3xm3ncd9YvNBRNqT9VHB9LY45ifLHngciHrlRDU8gmOl5ZkM5ftv/8QcwhXVnd4Ei0lgGItW960naCcGtjA/MHsgutBW65oI4bBMoWxm55wgAykr0dEHtu085krGZZGmLALXQKSTXvCdfd95e3tL1cAEn5EqT90IU477BAbuxhg7+zaISLeFMEMkFZ+hUTnLr7znk7flvgibuBkiG62aCOqjHFtQoOlOa3syMt0zvwoSrI2ojOozBzLtWk7JQzIpa7Ac2UCER1rnhT7Vmiehq/VGdSBPV4WvIOSXHc/ZCwPFUXsauUUqReALSEw2ZlddddVVV/3pWsdkapFmBdZaT1CvlftBMkcMmws8vgwSc23qvWcvL43WN7R1XJToadslmiBjRjPnAFElgUYCfC1EhVFW6W7Ow9KSXFtDepKKwiNzE1Wz5zVjjI1RhNs5F+bBtveyPLVSKip939JeTtJO3LHcm5Qdq+igqbzWn1IonCRiLXItUWRYVZrAcsGtMqFJEFNHEZcj5yNmTt822tjzvJRtmoy8/xPAPTOXUS1LOEXjXD8bscoRqOWaaGaEG/vYWTYxyecn+/hUkbYiRSNOMDHLKJgmlN3sGYWjWFkdiBWxPAzE8jnXlvnXc+V+bdvQ8LTWtdwjvGYAL5WE12wgajbj6k/i9bPP/6l1v3SQV1111VV/TQXBNgb7LV0ATivOczZuayGS1/X748GxFiqSJBOSqCRSyvymbNvG2y/f+OXbL9z2nfsxmY9PlpNZzKPDWiw3jvsH87gTNksRmPMBM2eWfbnQ+Md//W9JkhFFx8YYBR34InyBL1TSmr2dpNVSQc7HQfNJ18DKRccoKEAbIo37/cGuGR/StLNvGx7Gwye9d1a89FGOoG0Q5mjfuG073379hb0P7Ei7WMNofcdDK4YsWMvotxuj9h95u4ESNHFcSpUYAZS7jyrRlDDD1sRWAiHa+tOdKRk9SYgCod12+r7T28bxOZ/xcR5FznIprWM5SEBlNwcz7IlhEGkDuzzJ0S4p9PJaq0WEMTYShKyM8K8Oix6oxhPIfuJCUvP6L6/AjPDJfYtbEbP06uX/XV0g5B/UehyECGseZamRyjriyalPcDICDZ5WXBrxsl/1APPM+as3SpinwvL56v2ijnteJCKD6ZdXtpA+gU0h8xo0MisyxZq5CR9N6980ko1i7ad4UZhuqaaTtFAJiQQgyQ8VsrGoMPoMnK8cqZr2iQiK1gCwwLQv1qRem+4MBFZaU2j8APidtqrwAvpOxsAJLP6sVFStgSk/bu6//j7wg2Ly/N3TrvW8v/P7eUzxHC5+BQbXeh3P/X5/DqZPwFLqIvVc5Mye9+Oir5yo87n9HeDxqw3tOcg8z8v579djvy5oV1111VV/Tb1/e+fXX39Be8fIbEH4qtI/1XaLiJOpn9lCo8Pb2zt7NTFQGZN0iFyH0FyjAxLQ07Q5yQQER8Kq+TCCXhaqmSUhErnxd0d0Y9s3iFZrRQ66zA9EG0Ny3W8tFQPhDkcyNIOJ9mBFknlG3+jjDbccmtlaLPuk9+B2+4WIKHVksNYDC2FrAw/BLDAHbRu3GxDBXACBHYLKO70590+DuCPSM2epNcQz/7H3Gp62BhjHPLIR2DPnaq0HIqm08HA8jrRkLWeC/ZZg7TLLLKlQECNQRstzNCe01ShxaqpXFVyzsbNqOFLBUANo0WdWRm4Rgt4ycJ5iNSYyWmu5a7FgF6rKvu/PoeRJJjKrYXax1+KUdkhUrnRa1ecWLjO+zv3fVVddddVVf77un5+IROYk3oO+Bz2C276jCGMMbvvO4/tHgloIfaQaYc2jXHBGxnj0DbSDdFpr2NZqTdAiJJX6opSSXTbaCFblN0VvOWj0IJYRZjjOeH8jLC0/pVyIWhsFkAb3OcsqfqDuiHYC4fbtDR05NEWVFZ3lOaQbe+YfLgs8EjQUaTmXSNiO0bfai0QBkhRgtxKfa2kJG7S0WCNYa9YcIKv1Dlrqyd4RaTQd6LYRW3/GvWyqmIAJJ8pImc+nk5II2s+8S8XmgcVibCMVpU1pbUOK9LsscxzDU5VoQGhHN0nSUbzmEiHCUeCkSpKQsYVEuUW5YzaRCN5GR3tP0rlNwq3mNukOIQq+rIjd1IwlfxZQc5nTbeoVw9J7DphFgGuNv+qqq676S+pvv/zK3//+d9rWsfDMF6xZrYpUPFlgcxFF/mwI2jrbJvz6N2E+Hsn/FKGPVOoZzgrLbGG31xwAYR2PJMcGYJ4502tx295Z5sz7neP+AIKPslVtvbPfNhBJYFQVDccfDwJBR6Mowli54vgyjscd9YW1INwwd/q+Z66zZK+71mJ9fGdE8O3brwTw7f0XGsGaGc3SxkasxXEs1u60vrG/JcnocRhzOkuE9vZGm8b3+0EcaV8brVdEtNO7ph2rJvkJW3z+diAC+5ZORJ+fH4kpmLEO47g/iLWYj4ylud1utNHTWn7bCNVUkorkcWrnCDBt5QiRLlQZ+WZ0kcynngtpaQRVT1/OHaQyqkXZu9B7Q0LKLtdTxKXCceR+Z9UM//39neBc01NRuzznJ1IW61EzgqZKV6VrApunGOoEVv2iG/3bukDIP6i1ZlquuOcmNPxpQyKlOngi4acdR8STDSenJNn1mQ1Zs660Oo3Tu7VUiydIlkK8/PxULZ4OyEFZjORPWw1KxU9VorzUiZw3H6mA0HqDtlIHAF5q6KZKNMFVCqQ8VZLyzHh8Zih+UVl+pfzLqdoDTq7/U9bHa7D7/FteQNv5+fnxFVh8qgt+AhPP+tni9PcAzFNJebJdMlPqxwtG3meqNtwtWZUnOOo8cyqeqsTzPut5/6pSfOVN8sP3vx7nz2rQ87GcjdP5BL7+vNieV1111VVX/enaxsjMw8gMpmmOyKjreeZCqyRjf2s75po5hiqVkHwrkMpZy1jTmEcy8VtKD4BWuUWatqaR6oem+gTIUOVx/86aD8wm6Mo1GOf29sa+v7Hv79zvxnE4rSmP485qxmaO60Jpyfpbi8fxnWN+J6TWUnXaV1Y+5QzQU3nAl7X5zK1Od4PKQ25BoyESzGlsoxPRsDVx0vosVi8bdmGM/Ft0cL9P1srA994tAUYFbYLHZM4DFTKvown39eCZt11ODNqgbZ1tbGxbAo9ex9paBdaHEKE5J3XY+pbrZXUlgSdAW6SqqDyo3E+lhQr+yraWpjRtZeiWm7IzP8pDuD8+n0CmanuSu9xP1wJStVkWMYed5z+K7JUqzsc88LWqwc29x1zrf+wb4aqrrrrqf9JaZ4zHSQ5pi23bnoTYOSdrLuZcqC/6tjH2noMnS3b+6RRES3tU1QZlVx6lLiyNHRDoSPX8imCGYwUuShtJqFFhuw3EPVWSAqGZbyRFWOqRe5D75yfHMraewGfbRpJiRBht8P7tnTEGH/dH2Z1WX1zLfUCuKaVwlODpCNT0lPOVKjC/KGsknvZjYV7uEKkIJNIWFoKtbaV8zAzIkE5ofwKxUUrR0FRE1lyv1AX6JAE9ZyE14Euxpjw/P/cFJ4CnKnhuJsqKrYHO3JcsK4JRrdmiudc6lQqe67DU/6JIx7lnSAK4RdrIqUAbaSPr4dhKe/ocRKbaImof8Zxt1Nwhz7k89xnPJ+Sqq6666qq/pFrFZCWRdzHXQkeSV3Av2+0klW5jx0pAcjrrKHDbdoJUvi9bPB6ZtbyG1RKl9J7uCRlTlrP+dOFRpHUi4PO37xyPT47jDm6ZS7yCt/c33t5/YX975zArtyHl/vGdPia2Fn3zdBCgMefB5/d/cP/8LOBUUY0isq68TynVXuuscjfQUkqe0WJBDvqbdhhBaEfCOdzY2yBUWKscH7SxQorM0+hBkpd6TzWoO+uYDO1JiAI2EgCdxwNVocsNFWE97rWvyNt2c5rAbd/Y943bllbtuY9wtm1gkW5Qrvp0URz7jtLK9v50OjQiqm8uFyWrXt3wJDr1clsogu8ZmxcnoRiBUB73xwtjUWW0stuPnOFkL597Pu2dSRGLKD8jyRiXOQ9sTnzNsm9PkvJVv18XCPkHNedB6/2Z/UdkfhH2UgmqZI7TM0jdS13onpvvQs3dXpJhD0Gi8iXrxVsJR6lo9GTnR+TborbgAE9GXyGg9Naem2iNc28eNTiLQshetyA1FPNiaybIKEjPBoKWYGVNWHNTXUEXXy3HfqhzaAlPxl/e2etXfgYTz69/tk79aj3689+d4ORXFeR5f19/7ytQ+VUNaWbMOevzeH4fiqXYkoHprpgJHi/7V38OZl9qSqm/P0WtPwKgL3D0Z+D0qyLyfLwnGHtmR53fb01+UldcIORVV1111V9Rx3Gkul7rml3rt4WBLkQ62hKIzO2tEm4JNJFAW9qhKtIVX5T1h/GYH2gfbOONMTTX/mUomqu9KNoa7VwLwgjLtbxtO6qB+WKug9Y6vW1FllFaV6Knram2oJ2AKcLDPVUMYWjlO3uUClESyJPWMRMkXsQi0co4OtdXB60shtC0YBWJVB3oQBFmOJwZUzUEbEWc8QxbpI+Ge1qtjcqM0tZzb+IOscq+RYnQHISGV5PxWptHH7ReKkUJelc8FCIbDImTXJTPTMgrb0LkaUJPGE/GIp5ZV6KBmCTZiEAyaj7/Vy4U+T+r2O/cU/279VgKjE0b3tpb2Xru46IkFCJSao4iOOUf/0Deuuqqq6666r+/JLJ31rOv9HS1OR155nFgaxGRFmSyKW3vzIflgCxWgXGp3mtF0KV6TvuCKp3X8Fwnqs/sisjGGIMZK/twT5vzk3O8j40lk7CyV5WMRlFpuN95prCkh3iSaso6TiR7+wQfaygXjnuqP/RsIuMk3mSD/5pf1LDyzDwGKu0SPO3Jz3xD3DHLfcl8HOnOo8oYe9msNpAOqrica3GpMMvqLGcj8XR++urm9Or9QZvSaYCzfBWf6CTqGiKK01JN0lqSlVQJFVxmOkycVupF2D7dhCQClVR/xnKi4l48CiztPQefdcwigkXOcuayVMRKDi2ldoMeQa/+/pxnPPNE5SSu83Ukc9VVV1111Z+s4/7guB1ol2eslpQN65RJl07rtQ9Accpd0BJMaieRlOwFz+u8rcXjc9LH4Pb2ztYyusTMihuTOcZDB94yR/p4pNXraJ1tG6gK5os1J2sebPtGE6W3Rm/K6Epr0DU/Elxs2KPWJje6ahGGjKZC6xvb7UYbW2ZCqj5JtKoZIeO1D4hIhEG1EVoz7wLYtI9ciuYqLKBn79/Snt1r7aRpRpOI5Fzj7Z2+77TRSesHL0dECFvJdrLs4cP9eZ5HU7RvjN6ry6YytgVaRwgs4kWmUkH6SABZhWrgS9XKyxFhGt4MXQ1r5YrgpJVqQDQQrQ1U9f65IDd+bzGWWs9FKFxBXiCkvRwZn78v8oyO84gnsfua2f/7ukDIP6ioHMgngPfTz2t7/Xr9noCaGSFaXs1fgLuVA8EX8JhYn0dmR1i8Mh5PmuCJtUs7963ytAsTUmauaEm6vzD8OcPied1RUKz8841hp1CjAMgEKNFzXFfMz3oTnrkX55vqJFCeHsnujphV1kOOWvM8RmVN/quK8VQi/px9+BVoPJuGE2D8IXuxbv/r75xA5Xn7X3/vlS35ejZboy4w1ZiVfa3565jcTjbHj0pId382t18vOD8DkD8rHr+CsT+DsB7OC5Ss19p1Ibvqqquu+kvL6xqvBVhp2aeuWGlP3jpNBqFFGjpDlJfXZj6BSyEBLIkCsiLS2sOVlry8XGOQslELhIl7IySbBG+ZLyWq9CEERkyjWTL1CGXbfmHrnRB4rDtqDZoh6oQOOp0m8cxJFDlJM/l4t23j/e0di879s1ie68UiVX1uNNjGRnjDvOG+MLdSE9bO5wT9XHBV5kqr1dbaMzQ7SMC0aQKQmb1wZl3NYhiet5drc+uC6pnPmYPBpjBUCZzH8Ylqo7UdQZnHAul57CSQKWQuFrXfCTyjq4pQJCE53Hw2F8o2hLnSUsLr9zSMLr3A1wR3s7noqfh4EoiUrzmPSVBLa9Vz7W5a9m6lhNR22rLlFjJEaLSEQCv/66qrrrrqqj9XYxvc9hu6pXJRe+N221FVjlMlWUrF0EZ0wRosMY6YmAvbNgrsqhgOTYDKCRpJqHVq3dWzD8xhX4rshWjCaDd6a9hcfPzzn9icdIS9KZg+QUSPcjUaAx2Dm35jtPp5CPvtxvvbDSF4PD5LPSnMjwdoYzSgj1LXN8boSEs70PDy1CnyMOa4LcRPcnSRblVL3Q9EWsR9fzx43D+Y8yDM2fatCM+5jhknkamo1doIPdWKA+nVq5/34V9IxbzOnYeTY4eGmSORuZxN0+bcvUDZyHkKAb0p0RrhaWmH9wQrn8TntE7LeJ10pHA7UsFgxjTPAWjrDN5pbadprvNrHixzDluZf1mkK+HLjOckGH+ZX5yE5B+coJ7/vZDIq6666qo/W6fgJ4pYq6KEOYcfLIOdTm9W64M/3QJPV7zs3et67EmScUvb02U5i+/dmH3Ra14w+oYJCXbaBO8IZbu977B1tpbE5TnB/eDz4wNE2N9/SRFRRGZNro5b4C605jQdKVY6hS4qpdxP56V9v/H+7Rto4/v9YK3JcqG3/iQro+nMM8YgWjoyWVu4LZ4xapKEXUtGDd6UpVKk37SstTwl7LdG653x9pbxI1LxZ5Wv2VUTE6kost4b7SQRzZUErtZpvRHhHI8P1Adj36Ep0xfSGk1bOTEqSM91VgufCPI8WYLNgdC0Z/RbuR00VWY44tVxeyQIOxKUFZ/lVpmzAlF9kpQl2U8gmr9beEacYKRI5YgnDtNOd4Uvr8Vnz997gbRX/V5dZ+YPSkkmYpDMPctXP6dF2JkHGe6VP1D2omW16l7ZAOKIlpew1Av03PvX/QSVWxAC9sXStYaep6BRRXHqAgNP5uCLi1eM/ZInF2kyP1zKOq6O4VRi9I72Yvs1QP15S2fWwcl2/JdMwi8MS+Ic6J48y399Y/5oO/qjXepXgPLMSPyaB/nv6mdg76tt69f7/HobP97Xafly3lYNAcWfIKGVHWtQysqn7WzpTn9mPfiPKomvoOrPKs+zTkD2ddIqi/P5uz/a6V111VVXXfXfX7d9Zxuj3AUoQl8Cke6GSxKRoq7nXfXJRjpV6y2KiHPKFIrhr9Jo0rBl3NeDfRPebm+oeGUGKRMIy42xqnC7bTQNXE5Lziigyp8Zw26OAYcsVBpY1LodIGkBEj6f63Frgrb2XFNVFbMESdfM5kh0SzZoU1Q67kHXZD/26HjZhDpWxxCsaZgHoq3cA9KWtPWBSKv16lxPO63vtD6Yc3HMhUZa0VCuEL4Ci0XTKFWjEW7FKFVaE8wc9zwv2kad7rR4ybVaixCUKoz2VBWWVV4NRpsKo/cCIEu16MHUldmXDitAu3Lish6e9rktEHXsq21+Nb1f7VjzNcJrj1iWvBkzmjZ2J2vyVEbmMPfcsF111VVXXfVna/TO2AZt9Ozji6wK1Qt6oKK03nERFo7YxCWQ3tCu9DHoo6cdW++o9nIUWE+V4Alk6pNYAggYwYpUA+z7jrSe84XWcbUi15bzUdl6nw20auN2e8se1ZOEMwS2baf3zlqzekdnrYPPz09ojT5Gqh08cF+MMQo8Tcvyc11yS7VI2ISwXEsVbC44rc6dVI6IpHtE5SBv+61yDovI/FRO1HnoHX8+Hn3GL2fPXJ/XkDWc52wlXZIsHQoE3FeRg0+noEWQ+VriwrKTvZ3OByGKbi2HrJaDSJUfI1TSecpY88H947cUSJAKjBTEzNrX5IDSayCspDqDL/3804Hpy+N5RtfUXChsQRGTri7+qquuuuqvq9vbjW3bkJaKdbQU/MsxX4xxrtMFQJbzTwoDk+QiAU6BmR4Z0cEZ1dWY01hx5w3h/ds3RDs+lcOc4MB84uZ0VcZtz3XEjeOR/bOKJCHJA1+Gk2TnkIVqw6ZhM2jDaLrl3mIdZYGej6n3jq3jKbhZDnNNHnNxGNz6qF4+c42XOV17rlc9ar+SRKd5v+PmzLWevWdE9r5NlTFGWpyfFFtR2j7Yb3muH2tyrAVmtBIICZEW874yxk4SBwnLPUNvQm/KMuM4HihO763m7F626rlPScwh92lybkzK4vzpFqid0XopRSVdEAjUs18PoEmk9TzCq223cpDKWUjIKzpFNF0bwl9fW81gMrezhFZFLHdbrMrp/LovOB2mrvr9ukDIP6jT4sO/2G6djLuvuUJwglqvz90D0RNky0GTepBZi5WhRPUZUnYkcO7Ky7M46odUbhP5pgpN9mV1Oj+MrM6mgy/HgxMu+Yb+svs9GxLV8833Ba88b5h6M2kO9k4/ESlgNOR1zOd5Od+EZ5MBP4JtP9fvAWunBe6LTfjj7wSpAv3ZtuyrJerPGZRno3Baq5zP2XNQGOctp4Ik2Q5lsXKe04gv6sp4NhT+ReUoIk8QMgHnHwHX37O1/Qqafnk0T7vZ/LtzKbjqqquuuurPlmrLNV6gRZF9GsSyslwPRNJVwD3tsQXJfXBZdz6JPgU+9mLR5RrQcHOOeafLoH9rKMoKQ2gQihlYOBrOaEkE8pX5VHMavXfe9p3t9o7QmSTR5zFzg29MQhqOlh2MpbVLkINPyh3AKzPSIsPnp7EM1gpar8wLKftQIgFGyQApqTwJDUfVKr9w0iRtYlUavQ96T+WAOclS9GBse6kbTsVjNiW5YTDMFuBpZxupMlDxapYyu6vpxikOlHWu21YZzyOt7lVxS+BTiRqqalnKJlPVbGG26E1RaWkJo4pIsPzgTG1STXC5aaO3SLeKsCQhSYVrmz8dFSJSjQpaGOJrQ+cOoScZjbJpBVtGmKEKRBG3iunZ5dqeX3XVVVf9JXWSf+WMOXG+f/8OIszjIGxlvzcGy18WXyLCPjb6tn8ZjGUOYQhP4nCUGi/C6z70eZ+qStsGEo2+DdayzBQ0R5rSx4aEMz2pyPSTBJsDM6MhI9fwedxzCNY75s4xJ3M9EuQ04+Pjg+N4MNYtWfxPUnJgbmgpBkQzkiQimGvilsrp4yUAAQAASURBVDlGQq5REsI8Hkg3kI55kJbzPdUbY2ffN/bbjWNO7sfB7ZdeoGWBgK2hvWX0i8AJP4ZHgrtRpJsiTT+J2W6olApF0ynB10SbsHyx7GAeB701trctM6trFuORsxW00VontCzmIq1XFWAuJCwfqztrTh6fn2ndNho6drpkLI7PmWQkbc/cLdEknafqNclH7VRUiNbrpmYMFLDqwjJPgncR1C8o8qqrrrrqr6leGcfSFSmlO8tRLNXt54w+KpuwlT37F4e7p+TfHSJjQBDFtSPamTNtP8cY9DZoXVgB1g6CJK+aGc2MbaS96zwmj8eD+/3B7bZz227cvn1D20ird4H7XC/xkBvihshC3OgqmEratEdHm7IsnRbncuYyjmMyl/Ewp1e2cWu5BiNJEE4QUZDe6NESJ7B4CqZEO61nVErflLbttP2Wa5gZFl5EpnRicjmxDsfmYgm4pdpxqBBuYMaMwGbazN/2nbZtNJEzcvpp777WzP1DEa/PuUpI4Gsm1qEGnkRrm5mhqT1nD3uRrADu80Brdu5CqTQbvVSdQWIcmjsuynewXh65h8uYmbKJrco9hiF90IqUnpBLECtB5iicRWhJUm9XL//v6jozf1Bjf6OPjj0emBiqDadBWLLmVvo1Y/VGtLLTlBw6eTUzmSF5gnfJEHSLyjdItv4Zan7atL5i7oGo3CnPIamG0JAcrmlS+rQlIr8k7US+qjWK81fDMS27t54sQpX8+7IgTUezVwaWVhj7K1+p1YU7VXsniBkRzDmz6YjIoa52tLWXUvOLCvLM4vjZUxnOQxfCHBdjfQHmlhn+bF2q6SsVaJx2pj9lS7bKdOhlOZd2uFq/Z2k1d6zMh6hrTu/J1ggVzFP/mCDtOYT+Al7W8ZyosngOEZNpWcBj/fgEINvP2ZUnyO1OxEDI47dIj2nK3uYnJ9qrrrrqqqv+OytaWa9aKhd7G4Q59IbQaD1AZyoB0SLz1FraFCXX0PMaLdKerMUWilggnsxHfNWmNdfkoGHRsBgZ9u4HrHtGIwgQjS6DrW+83d54+/YOKJ/3xbEmN0/L0sx7MqQtaJ75Eq5wAEcwEPa+87GU4xHM4wE6EOmseRCRa+RWm/gIw0P4/DwwywVnG53eK8syckg5eCPE2GRjv71zL2M6lYaHI7YSpGRLFULAuk/cFkM7tuC+ZmUmBvf7b7gfbHtja8LYlC6DpgL24DEfLPeMc0BRX6AbEVpWOEHQcw0O4Y20qBcCNOFiD2O0zPtYM5ukJWkN82mfWKQq5VzLO57PW8th4vJJeGKMZrmPQzydJKQh4kQraz6bIC0VkA2O9ZFMW82h5ehK6421ovZcmesJMLdre37VVVdd9VfUdONwQ+ksYK5U2dk6uG2Dt9t7AVNwf2QW1Hw8kKbs+429DRaCh7CQZMlXjxyiOShTyfWvQbTs9dPhzZEGzcHnQeYSNpwEOiM8h10FLmoXonWinAQeoago053QTowd94mL8/3zgznvLHvw2/eV/XEYx/zk495o/o6MDRrQAm3ndC9B1Gl3bD1oCl7DPjMHW8zjQA5h229AwwN6g30MYgze3t6R1rgvZ0bjvz4PvvUbo2+0MejbRtS6ZmSvvWwVSJlEHKk+v5EWar5WEr8iGJLZTT4n3T33UiJg2a/ThNFSFdkiXRtapB0bZ0akNLQb+EolohmbKrZyYKoS+GPRSEeobd+xCOb9wBe0Phg3pW/KGB36wBymO9OcbWz0tqO0IoRLqh3P+U2kAiRteZU5Fy1OF6UG2L95xV511VVXXfV/tBzjmHdY6WgwxlYk1gba2EZHfLGOBIswfhLrCNpbAYENVXtGqzRJEU/vwrEWETDGRrjhCjOCGcEiMIFFWqQnMTkIHWw79L7x7f0bv/7yK9KUz/udxzx4v71zPya2jNHSJUjcGZKEWJfgMAPLmQMKH9N4fP9A2yC0szwzkluBsada0Mw5wngcaTm+943Reqr1+0jQcFd8Gtu28/7LN9QO6IqOLde6xwRR+ts3ti3jSe6fd9ZxoAFLlWPOtKll8f37d9wO3sbG1jMXM0xzBvA4WGsxzZhmxDKWB23fskefae2qbSTAt5yYEFKzAnFSGmbse8eX83g8WMeq2bzjMnMmU0CpCOi2s1qjt8y8vB/G0qC1USSthCZ7UzqORPbmTlr0S0vni9YadjyIBV45kZsoMjY+jlVuTDVLChjy+f/Lt8X/X9c15fiD6q2lRLqUf5RSwp0EHovRaMueF5vTNjVO1ePpuVwy8CQE5u3krSYj8AU8Fgj5BWySyEFm/jxZfRSrQzmB+hfzXjUbH494qi1PFmj7on5Mi1W+KB4p9Ud9cf5bv1DJV/W7abdWXnFPV1Zzzz+NeB6nUKrFqmfOor+yD5+PtUBCFaFpy4yOryrIU3lJsQ9OW1Q7MxR/tHY9H+cJRL7Uilrn/lS35vkSAAV3wcv+NM4A2+edn3lN5/c5Ycga0GbO5+85p35VO/6ePa3+BE4mu7KVFYzgV89y1VVXXfWX1HIrZbs+rdJb07IJPYOUPa1VW3utss81OFUQufkn1QtiEMGaSU/RpmyVT3jMtE6zMCwEaRsNQcooJKKjlVVENNySeLLMOR4rQ+MVtDXWx52IF4GotcywpAnH8eAx70V0qoGbtiLuCGaLcBhjMKSzbRtja/SuzGnc7w8+H5PjkQO0t9sbb7cbozfCzn2IpgOaaRKtOJn/2UAMRlrXtUbvDfPJx/0Tc2P0zv2w595jWSocPCY9gvtc7NEZ+y33MzaZy7HKygp6rtvFjQKeSs78dtm5iZSDSzJMXxurXO/Ncg/m4ZhPjIXX8y6At8zVlpUKDTejq7IU3NMaP2WNkczb07sVgHRRUCItfj0zMBXFtSGelrGEfdkPFmHsS2b1VVddddVV//2lbSRwqIpIo0Vn1ZqYdl6NWNmjd5THXDwed/robH3gZgmeFflUIgFGqD6uJXElTp9PJRUNNQBL/m/OEMztmTd12qIlyz9t03VstN6JsjZdRhKYT0INBjMBvXM/4pZ5yh7Bt1/f2d/e6duOC8y10sVhvFW8RykEPNfTbNBzHW2lIlkrnQNa6xCeTkmkumEfG8uThNxb45df/sbtF3BRtrc3dGwgDUfwSKt5lyIOS0XOlCI1s7RzTRYl7ytKLWgGdiSZp9yHVDNfS5bhBg8+QW9IH3RtDM37Pc+LliohfBUJOEHP04kqreUNRbndbjmEXql0aWNHtKWiRE/mWVq351A6XSBaazmsNgp0znxRxVG3JGyfFlp+xuhcddVVV131V9UZGYJAKx1O750uWut+2nk3VbSN+qtyNNRa08m/19ZodMRTBDI9nWzQRh8bIcL9eOC2mHNiAjo2NoWwjh0C3sEsY9jUsJXClzmN+3FkLiI5D/7+8cnysmVvnegr1x5V7vPO8fiEmg8T0MfASOW/zQTcxujsY+PtLXv1277xOCafH9/5mAefjztmxvv+zvvtndE7bl6CIyUqes7iJZqKpqh2NhmoNvbbG9vorPXgOFKJOHpn3u8pAtJ0LTjmA3xhAp/HnaGdt22ni7KOtLmfXvnL4jU3AenpPpXhl5IkHhphQlMSUxHSPpfTFzD3bZYbMNwN8wP3dLJI3EVoHoQ2DFhzcRxHKmeB0FHzf8exdG9oJR4SISyeLphulnE3CqgS6kVATpA1x0JnQN6JwFz1e3WBkH9Qoym9AltTgZjMCYlsIGJZ+jqvlZkS9SKVADlByJU2Zzl9OjP/9JXheKoj63WqCMSZVyBfttPV/JDqvwjPAWBlJOT3CjsslmHeL2mlWpar2tN+7mlLqpKN0wtrzIan8hfO/MqQFwAZUB7Z+XepAvT04bYgoyscLWDtZ6Dt99SK8AIMpaTTJ0gXvMDFVAycljr5fTN7ApM/Zy+erJAnOyTP5DOzQVRzKGhBsOoiloyWtFrzUj22bCSiZaOU9/A6ZV+AWEjf7VPp+rV+zsI8H++Z19Uqu+t8vCcg+TXv8qqrrrrqqr+gvlxO9bROaw23nI09bbUi0n6TL4ST+up5DQco5YObl4reMzB9dFDlsWZlPWZmM6qojFq33/BoaJSVjC9chGMexMM41h0dIwFI81Jz5GBz+YKZmYrLMsMx13khNB0EnkM3B3RkaHxTkPz8/DiOg8fxycfnI/cYDh/lPytvb9hcSWYKwV1YK5DDschBorYOVKayajkuKL4my8rHQNJ2NgPfF2tOIGhdM19hHRDO++2W+VTHYi3LtiNZTrnnsYlbZjSe+VGI4aHVSOXQL8JA4rnWpkVc5OSQZFf2IUUIq/1d7bFEyQGvWa7zNHwF7uM5TDXL7ysNtNSYWk0JCSq2r3ncRA6gTxDzuV977Siuuuqqq67683X79s64vUEfSO9FQFn4mjRyGfAVrDk55uLxeec47ig3bC6mPJAhqFhKGltacn7tmfXMPJQXIfYEIJXqWwmWB8bKHEdLgCozqXMq0HtnbBuhiofQKpeq49CS5OSkg0NEK6t0RfpAe+P929/p2xuhncOgIbQ+ynb8ta6opvV65iSfQGO6PYRbUmKkFPqtUZZJSNPMoHrcEVW2t3f2beexUkkhvecgEwgHk3MwknsVyD1U2pgm4beRbkkBOWA0I2zh84GtI23ePPdaLqSVXCwey5ANNlF0L1Kv596ASMCZGtY6adW6yrViLsfmwbFSebG/3dJFynMPM7YBlN2a5/5PyEFriNLbeDo9JYnJcYLlM2cj6TufJ6Es/2rSW3X18lddddVVf0V9nfvmh7LvW2UtA2WpDQkkpbvc2c+faxQ5/265ntvyZyqaxaKJor0Tmpaf83Fwhp+10dEmSLQcE9uk/FnxtlBR7vdP7nOyvn8wtoY2xdy5H4/n/HvZ5H6P53ptZplnrZr9sRuiDZ+T6Ubrg61XJuLY2QuM3Ebn/njw+fnBf/vnb5y27H44Yc6392+YOb0NEMXEmaSD0cLTHaA1mgyQVFlue+Zc+pEKyyCBXi2bV9zSOr3I12s+mI8H3ga/3G40Ee6PI10dznOt4GsmWWlN1DZ6BM1zPhIhdPbaP6RTE1iSq92ftvNwxqMEQ0ukFF6krxcRypax5sy5+hgsgRg12YlgYU81bRuj3A20xEW5V2utxFeeboWG597py3w+4+jkS09/1c91gZB/UE0aLTJkvtU1Sv21IfWVQKR40EWw2ki3M98nniarhe6XTiCSfSAnACeZSaRRlqgABXyejHgvxZ+XtSmVN+mRt4fo+TbMTXK8lIza8mKnPd9Y2hutZ17D+R4JihFZzYIWyq/tDJo/6ZKlqGya8z3JENizcfmqazzVIlEWtefj+FmpCLlwfM1sPEHIE4C0qBBaMmvjzHkwfwnqn77evMC/ZyZHAa9n9mMUk1Vao0lUTlMyL9wtL7AueWE8V6GnrW02fnn8z0f7vF2NwKye85/qfOznR2stB7FfjvurEvI8j+fH/1625lVXXXXVVf/H61iTfXVAyz4dvn37lbUm7tB7ElfWmpjNp9NBrqu1Pta66eQ6Nd1YbrRW9iJFMsphVQ4EkcyMzrGk49GTbYnm/iCc0AWi7H0HgWkGNFrbAWN7S5VgWqEn0xGCt33j27dv/PLtDbPJmgsPwzwt0yOU/W3PUPsZTDvQ2Xk8HoByzDtzPlhr8u39G00bn5+fPB53tjEQaWgfNMlzpiKEdGwd2Qi1TrgyzbE12badOSdrLXofzzV1v+0gwbEMUdIOtjn3+3eQyHgISXKT+eL+uOd63RK0zSB44XE42jZav6Gag0NBeH//z2wWSmGRgHGqLt1T/ZCWbbmnaF2ZllmTyyfmC7eDj98+k2naGt++feN2S1XNP/95lFolVSPigvpg9FSCIC3dHFIGw+gbUSQnLJWYHv5kT0qpceE5q73qqquuuupPVttuaN+J0RgjLTe7O64P4njgcxErsOncPz8Jc/axcdtvqaSYOfhyWbRmydgnyuabJ3H3tFB1T3ekk9wrxUbRyOGke84PiLSGEzlZ/QVaaqk2T65/5R12bUgbIBNQzBxbOSB8e9sY28a2pzLwYZn77K0zWi+LulQ0iES5JSnL4knstbUyB3GucgpKQk5rjjbFySxrFTLb0k5rnhe5WEsJAFIDQ83HWOqGs6cfI9UoHgt10CIW+XFALFgHzCP/tbROd0B6Z2jDIjjWgcmg9T0zJGVhcT42qXNj5WgUrOrR3YxHEYtWKTrRlkQzOXM+i7it6Ygl2pFyZzrp4UmpKieFik7JeUyRmKKUMB6ZAU1LRQvUzvCqq6666qo/W/OYrD7QJgQHHsGvb288fKYTQMs1bq3FfCxO1YhozsZVBe3ynGkvYEUKUqTsTaOyUlyEFY6MThOSSBxJHI4w7A6xWpJ5rCxGtdG2DdV01WEM+r6DGe9h9JZCl/v9zveP3yCC3jv/8fe/8+39V9yd45F9eWAcxwMHtn1nbJ0VpAPSo3O/f0cb3D++8/j4ZN4f/Prr31FVPj4++Pj4ZIyd1httG7TWMct9BKNjj0nXc1bReMyF+SIkZybTDO0ticgR/PL+DjjH/YPowtY2mgTf/+sTweldKud5YvPB/fHIfOkx4Fw/Z/AxJ33bGbcbbWxPEPI//v5/TytWDTAjcFQFn6uIPpJqxJZE4q6KhdQ6n4pNt8U///kbvozWlL//7e982zdkNP553JNAvjIuxoR0wdjfoDW0d6QFLQKkMbb9dwVVJ74AL7LxS6p01c91gZB/UE8QsWw69QQGPRBPsEnr+41kXlBWokpe47Q+xAP1cxhJqR8zz0kkm4CnvDgErRfviXH5Ce9FpUVWFmK4FUCnpZKspqiVhaxmfoWOlhfalkrI1hrS2hOATOVAshNyZqbQJDMkKGVlNRbylGmnDY1AXhiqH1FtT/T/mXkYqVb8qubTF4L3Awh5fn6Kmc/Ux/PNnBalXyTjnqCuU5Zr+Uu8TvbrI+JsGEqcWtL8s6VIRUY2feaBWzIcJZKnmdZ37WmBJ0+lhZdcO9UVgiHxI+D49bGfFy4zS5bpCZpSYbhxvhbih3PZ22kFe9VVV1111Z+p3loNw7QI68FxHCd5neM4yBWnpZPnuYa1GjrGSRAKjATMXHO3MGMlkac3QgQjWKT1mooW89+LvCKojiIPBU0comGiBRwGcxmhSqNnQ2IrB34AAvvbjW3bCMtsZmmaNmGSViK9N/S9pTWoJHC5lrNMUJ08jjvuUY85uN0Gb297MkLNUtVQtqOtCdp6Mgv9DJHXWmOTuJTroTBnKf60gbcCIY1t6wSOuNBHR5qw/E6Ec7vtvL3tIDVIDUOHMvpgjD0BPgvmynW6NWWMBECTWplZGtLS7sXWymGnKs6pRA2csulhQRxIPNLiPSbhk5DG21tnzUlvwraBSDZSyR9Lm9llD2IFbXTMB6qD1jZaz6ZTtCdg7LnXiQq7jzM3/NyBlEPDayR91VVXXXXVnykXfYJLjjzBMpVGnFboDutYhDvbtrFtI7OMIljuxFq5vhRbSU6Fn0pZqWZGpPmpsOAprkgmb7n5lK23m6XKEIUzdqRcFNYyaJk3ifZUApr/EPmyVuY22sq1tGmrNdpRjfo8s6y758GIvgjEsV4RMk2U6cFx/8TmQaxFbzlfmEcAyrYp7uk60Gt+sG2jyDtWLgvOOXqLsi8dLRUiqmlJf4J2z/NiRlj25HY88Mcn4ob4ItZEbSGRikKPoLkwxsgJSRhHEZJjLWYNis/ImeWWtqia4J/Nydi2JC+L0sbG9vZOb5m5iaTK0TxYZqh0euu0PtCRKlqDp/vBaUD/UnWUs0HNjdJNoZQYVjZvvGJ3LhDyqquuuurPV2uNbUsCaESufceRYKR7sB4PzqivWOVKeM67ncp4lvIoClxBtoa6YB5Ib7TRQLQIx0+0KdcXTvtxQ3u65ODpmqCa6+WcB04wKyqE3nNdiuyD07Yb9tuNt9uNNWcSh5oW0JXKzTF67TckgcHHI0m/CPPR+fz+gVlmJQrO27bz/vZOa1rrdMWWmdABaVpW4qRwqFVuMzXSLkfEx+PINU9yZr0se/nbNsADU9h6S9dIO3A3fnl/55e3d3DjOCYRRmswRmfcNrSPJBSZs8LpvbGNlgClpttSk6BJYjLTklTdJIjI/ZpEgsOp+3GYBzHTLjeOA58T741f9o2DB9qUvQkaxvqcSRSSzOyej5xB+OjY8ch869sbY6fcI5WhisXXLj33W6cg6ozCuxyN/vfrAiH/qOodKM5r2Be5udQgLVoLgIxMIUpGPacbcDxBSC0VpSRNMC98BTDp+XKNtD45NXepinxZlLx2rgXNxSv3CF4qOSdyyHXK0rsiNZTUEzx8emRT92acg7DTQ+ZlV1pWc5wgJMkGbAlqQjL3VfI4tSxTT9AwTruxLyBc3o38AEQ+AUj5anN64onyQ67kaX0jJY9WPXOp6j7qMZRZ7fOGcvCYTJRsxlIp2goY9rJycdfyls5mQ09rnR/A0lRYPq1V42UDo7EgjKddbJWZ/QDCfrVbfao3qQxNORu5l7Kz6wVCXnXVVVf9FXVadkekTZebleLvDRH4/PxERHl/+6UagcjsiVpzQ057z+S1hwhtpC3n9++f9LHRtlQG2grUvUAvCJRW1/hcInsRbIKmCUIKyvePZDweM6DDIC3ik42X2Qa4s+2N92/vuZrb4uN+h8pu8oC3fWPbbtiC/+2//snn5yNVkbf3BAER1lpEwNgGG71UfFG2NjmgS0JOR2SUogIgCUsRmparcboaNI452fcd0cyqPGYOX80cNM9H6x0L43EcRAS3287+9oY97kyfhCTQ2EdjjF5NUA4lt5GWMGMMeu8ECUKmXbzhGGYHhqEhhBghqTa1gLAiDXFk1kNE2e4FvcPbbWdNpTfh/W0DgsfD0OaEOMLE/ZEDZmmseND6BhhaOaEiQtgkop9mE7nGa6o1AFxyF/na9Vx11VVXXfWnKwMP005UNS07cUYfmcnozrEWHx/fkab0rdFbe2YtLjfGPspeLRA7rb+TiHqCXhSpNyJ7ZcUzmsUztyg8LVixhbjTtNPb/5u9f91yI8nRdOEHgJk7I6Ssqp617/8OZ6a6KqUg3cyA7wfMnFSksnOmK6f3+mY7cilDiuDB3cmgGfCespfsI5k73jtDG0Sq87a3twQ2Z69vxZCe60hMi9KtVBR4HAfdlV0LZpVt33HNtbH3QfVBmM7ZQWeMJOQImkPCxwNvDZNg225ArtNyRpAE3o90QlBjq2kT92hjXoxJRCL3BQ7sVqZrxAIh00LtuD8Qd7w1YkbajPuDeNzRGDkX8Z65WjEwEUY4FsGuKwxawCx5R5EAr2gCshltMvAQyrRVG71Tb7cEGLeNrcyIGsncbSsFNAe0PYLCnIxIOmOl45TnsJkcEWUmqE01qaTCdbpfTZ0kESOPj3TAgmuFv+qqq67602r18ih9DEYffNw/ch0T4eP7B6rK+9sbpZZca2fPLvJUQKbxXeQ+QIwiwj9+/Sf7Vtn2ygihjTgzHE2TRKQYWK5DcmYNpvgoNK3Mf/34AKb7jwcbuUbWuiPhPNqDMQa3242//PWvyFRufvv+fa4rKRB6e3tj23e6D/77//x3fv32je7wy1//DSuGRwpqRGDfd+pm1Cl22ffb7FVT0ZkW6wXRqepTQSVJPn26OagVtAqP4+B22yl14+PjG0drqECZgB5kn+69c78/gODL+ztf3r9w//aN1vN7qkIpmvuHWukehHTeZafsO/vtRq37JAQtUdYkIo2Oe0MMcu+SSsgYwUByD9AfjHbMXOk+3aWUv/31Fz6+p4jo621Pu9t2IO6JboyD8bjj3mEURjso+45IgqtWDEJzvzItWnXiJCHQRj+xh9wLcoqIrvptXSDkH5T3QUw7rQUmhcdp+7nANV7YhEjMPMd8c+b39FS1yQQizexUOS4mxgKflupy/UGAUs4Nr6qmnetU9iWDwdFlVTofVCztV8tWU3ZtmrJyzQ9bjRUWHzkEJIeDqQ7UbHZ0ucpkg7H8trUUyF7m/EWzmY+AyjloXdmLK4D3FXSEn6shTTQ/PHy5beftrNbTonWBpPOO85wg3OkrxH4qUnE/A4JP6TRpYXsyWF9k1IFmA+U+sV87n2sMJ/2oJSXmupSQ8/0Rctqm6rSUVVV671PuLj+oIc9zD374sIqRUpyidj6eiGAXCHnVVVdd9afUIoWI6LQ17WybMcZgjJXLKzmIW2vxSa7hzCnOzCFPws8cSO1vb6kWlGQrYkoPp1IZPXAdYJkR1MdIAC0C985xpP1brAEhORRs3Wn//M7tbePt7QuqabH6+P7B6MH9/sDmuYzeGK0hKtS65fGOOTSTHJpu2xt/+cu/ERh95PpmZtxuG+HKx8ed3gf79sZWd8IVkYJtG73DcXTUCobOIWnweGT+hWrBHXp3as2MCJECceA4asbRWw5wRbnfW2ZUlEKtG5D3HZ2TWLQs0NZQVxBMlWKKKTks1dz7lALg9H7Q/cAZxJDTDketoJJKDJHMlFQh2Zo4+15RER7tI7O7Aj7uQZnKjre3koqVgLgZY+Q+J2fcHaRRbKfYICNIjGJl7jOyce0tLXACTQbvaat/NS5XXXXVVX9GtTH7r5nTrJYDJCLV6x/ffuXXb99wd0o1Pu53xuhpWd77qVSUANwZraGk3Xa68QQunvOnRU42YxypeKykHefj+KD3O2Ur2ROHZybldF3S9VgRFDE8hO4T4FPJ7MpI4M2sYFbSZWnmK25aCas8Hg2tkmp8q9Ra0550LNJygqtpQVdoxwP3Qc1Fk69vO6UYPkau8ZAKztYSF7x/IGXDRWd2U+W2p8X7cKeHzMGmpWJQJPc6nlaovTf648jsqMh9x3F/4McD2oNNdTpNpDpUCEbr03nJGeNAtaBiTEx1Kkt1KhdnnpXdiJgWqVW4ldyP6W1n01RQbqXAGLTeCJSy3Sg3TftVUUIMd6GNObglZwRp0TYBaEvFhqfDbp6ne4LWka4LOZTOwe9yeLrqqquuuupPqJe5a+tJzpVSsTLo0+HHzPB9x8SyJ59z/D7WB3f26usz3UrBzPj6y5dUw88M5SLg3lHdsgfUQDTzHcdwSkw3vZ4kmhVNhhq9N6SUtAP//sHX9zf+9v4G4ZkZ+e07IHx8fFBrZYxB753jcSAq6XYEMGflKYapvH9947/9P/8PoUqfc3ArhV++fqEN4ddvH4xwvnz9wn57S0W/aJJ9I3h0p9RKqUZvd1DhcTS0CFoLIHmdzCim1G2ntwMiZxe9Deq+ER1+/fhGa42tVrZ9Y2Vb9t7pfWD7NlWFL25SU4xTVFPINbVDasa+5b7kOBrt+EAYVC1UJe3kLcVRY3gqJMdAfdCOBxLB+y2f79d//595XUT4FkEtBVPlb1/eOXrjwaC87fShOV+QgNGJx0HUdEaKEYQWtG4gQpkYTx/+dDGaGEsSlPR33rBXXSDkH9QYg3GCUU/fX4/MOQTm5nLasaDnZnMpJc+Q3E9DJZkA4GvG37qvTdDSJujny75jAXvy/BMvPwuJJ45VSgKOZdqulslCPNmb60FeGJ3zl2cNWrPf8lOWvZSRr0DgeVoqiVZOAPJzreuw/v6zWuDceV1kKlDl5f6JCJ+2s+uDjJc8yTNTcQJ+7tlwnaBtxHktfCkVz8VoBu7OTAjVNMWVsB+Pcd7PXuxRn/mWmQel8rytasrp13m8Po57KjI+X4tXxeRpUXuxKq666qqr/pRKxnxusJmf6cdxYG+ZV7SsS9gjN+3EGXC+LDjcI4Psp6IhB5LBtuXgLz/HJyllUovCfU7Ocm+gFCQGPnJIF+GYCmaFUrZkAlranBx90Frnbd8pIuhmWBitPTg+kqnoPm1OLTffinIcnrmNZeP97Qvvb7+w374gWvj4aNPGrVDLhorhAUZBrbDVG6XcCBf6CMzKDGkfIIaVynG0uY94EqNgArRzP2RWqPWWgJ/mBmIMTytbz7XTinD0gfvIoWCp9N6xskDNMVUHSdYZfaDSZ2OpqTxR5rGBaCouY6oXek97tGK5n0nrFKcURanTvmc8s5ol7WLDnce007ntewLYmRwC0YFx2uWoFIhOa3cIR3XPYSiL6TQ3NixzNp4WfihwkY2uuuqqq/6M6qPletLSWtXmoGuaZ6VN5nTFWT3yiPQZF1XqlkBeuiZMkqhmTmGRmXPcE2xKCknQHgfRGzKcQVqBjkcjaOgM/fXRGeS+QSR3B6IySTzJ/299EOReRadyHw9q3fAjrdlVjK0Wtk24eyrynh5LnG4IRRVVaG3Q+wHeU3nZGtFH7ieqUYohvqgwflrCE0ngyemH8Lh/5EpVAlHLgevsf0P0JAU/5w05KIyRr0Fhko+H4Sp0UllqJZUboTM70ZlrOBmP0h3VgesaVuaeK4Udcvb+S3MoYnN+kk5IlDLB5CPfAipQNiCvvVlNkpIaHoFazfeGrv477dvWbMSZ9nbTMnYNSEQF3BI0JnBdmWWXFetVV1111Z9VatOZ7sWBr7XGdrshPEUf67PXJYkg/jKLxRP0WnPaNfd/e3ubOcM+Qb+SAqOp+smItJjiI82sxJHEI0ZgKqgWiuUewraKK7TR+P5x5+vtrzkDuOVM4Lg/+Pb9gy/vOiPBoJQtxUumfNwPmmce5C9/+Su//O2/cfvyFSmFj8cjR/GlYtuOWkkdU023hG2/pbovgu6BlZq9eh8g6QzgB8RI6/XhA225DxoT//AAq4W639LtwRR69vrDMzwu900bbYx0CkIo2y3JuduOz73N6TA1nO6R5CIdBANR0BgzZ5m0VpfZy8egHal2lLKlgGrm6Gx7Jcpcm8d4Og6a8bZthPuMnYG39ze8d7w36A3v6cyQwq7cj3hvPD6+Jzlsn24H6lMAle+q9f6SCdKcKshzz3DV57pAyD+oozWwzBMantmA7rnJHMRzgz/VgxKRwzUmgh/PN+IKZV+gncczDH7lCr6qHPVskiCtVl+sP+bjqQrT9SUfenq4hpAApGl+OJjOY9Dnfe0JbIXEeQ45tJM5k51ydfJ7Jwi5npcnoKiTIajxtIV9BcxOBeULkPY5K/EECT/pABaEK8wPwqlIXVJSFZ2WKfIE+V7uP2ZehcycyYXgeqSkPha47JnF4SNzOVivg6Uv+LJqjVjDaf/hOZe9rTCzN+XHc3sFIj9b07befgQYI344h1NletVVV1111Z9SomsQmazHbSMttYYzJjPEzNLC7QePjXQQgPn5vsBGP3cF2LYx2mD0pdibTgg2lYhB/lvS9iV6QyITqtQqtaYjwZweUvadw51//vqNx/GgPzphSi2F21YpVlJN0OJ8zhyc5gb8cW+4N/bNuX35wr5/4bZ/SYe5obnpx1KtiLLXDYkE/ky3tHCL2SSUiuGINlQThJSeA9G113FfCv60uw0yR7KQeY2QmUvJSE0r0wQhC+FCG2OqPCwzKKXQWst8xkKqE1pasWRe51p/Vyb3VKYsEHL0NG/xlo2LrldUEBNc8rVYVjpp1dqxYrx//Uox5fv374zRM3/DBx55TcP7mQ1KCGKOe+Nxd2Jz9lshLV/jZY/yJGbFPI71vbjW+quuuuqqP6WUQDU4RsNHY5SCiWAEVYLQQIognv1pqRXVqbKfynwrhZiZhhGePWBryKjnIGr4SEeASLWkLEcfH4wjwb4RxxxKKqMlicZKZiNlr6+YLTKtMFaeIwlvCgkymhhFK0P7XPESQAOms0OuwWjmR2qp5+O6d3o/cr8xnBgD723argbtyFxI1bQea90ZvbBtO1/e35kjwszG6j0VAr3D6KhWpObMYcyJr485PMyFOQlJqhQhY2hUcdUE+UpatJWixEj3iOXgcJKig2mJn0RqO2ciqUJdtz1Z2SrnnCVwtG55Dr0TDEwMKYLGmnGUHEbrzAJXJVTnADt+UDsAU706iepz/mIqSMwg6BDEgiEFTC4V5FVXXXXVn1hrrioqlFLY9x0XneBWzl1LKSe5R+Lp1heSn8ieC032Zb4axKBW43GkmAVS1CMvz5uiytlNihHjQEIoWtJ61NKJ0D2wYty+vNEJ/v7Pv/P92698+3anWpJ/3r/8QrHK/eOD40jXAAhudU/7eIVfP+7E/cHbe/D1l7/w9vUrb1++0nzgYtDSZUlLRdR4v93QsjEiKPsOmm5PVgyrlRiOakslotVc7yYBl4DunvRpKyfIK1rY9m3GsA3EKhLK8IFYQWul3m64SDofTJelagUphTY67WhYOuNytCRb9RGUbNmBnLOEjyRlTzhjjCQmjdZOEZGWPXEXFVQMFGwkUjNIcnetlb/8279RVPn3v/+d1tJqv49Bb41+NEbrjN5e5vaF0Rq9O+6Blg3xBDtXLNtP+/VXtdhVP60LhPyDurcHjJJMwdEzM+oFiDzDR5c8Md1Y5xDsCZydykN9vikXg870yYBMFmTae6Rda36ovgJ7C1lfGRQuTOn4E2AUkdzMzz8hnF9tWa3aUg2mgjKZoCDiYBPQVMkNNOskXhWNkwGwnm+CqRo/XsNX4OyzUvFzXuITkJyDwTnTPQd7eaNTtSgOSBASdAYjVi7XfLx52CfYNzM1ZC5AS9k6IDNCztcWHKVIDnhLqalxnYrK3nPgOIZPSf7zvPLxHWSF1v94HV4By9d/B8mu/VluZiC4DLDJwL3qqquuuupfrsf9wbdv3zCrmNXMLhTj8WgcR6eUwu12w4px9GVfnvddCroxlYvqObystaLVaJNolLtmeeYHOCiGroHcBCI9oIqlpatE2p9F4/1tp4Un+HV0IoLbtvPl7Qsxeu4dJNdyTGbOU1bRStXMyWjcOdoB0Sl7UCxoMugOxW7oTafdeDYiVTegJBg785AUEK0JykoyIKVKDnBPhX/akqW1q7JP65WsRUTK62dlp5adFkb3hotPULMQo9GOg2JCtTrVDNkIuAvEvE6x3AqYCsNF/EmblmJGcSOk5+vlx1zDB1KdqgUrldZz3R4e+Bz8+sj9RPdco482eDwO7OjsW5m26Xm/dF3JbExVZTh07/Te2MbI7RL5WjMtWEUi91w8G5m1t7zqqquuuupfr2ppodYl+7uInnlHE2jEBKqeYF6phVKMzcrpdpPOQAlYquQg09253+/UvVJrQTwtx3z0VOQHSKQiIjytV+/HAxFnqzt4WsH5yKznqI5EJBg2lZo6B4Z9dGQ45p6DPxW2rYLl4TOcozdCt7RBnb2sWBJsq9m5Dp+qjgjGcRAtVZtF83n74+Dx8S3tXjWzMcODKJWIMXvr3HMMYPRcS8cYUJJIJVLmhPep+tdIK9NQQfzpGgVQRAgzXJ9WpxBIyWRGq2k9GwhaUqnoksNdm2suK5czIm1rpzpyvhSIwkBBA40clMYcZZjIHHdI7gEijVdz35OvhpsyIp0biun5voilqgG0bJhM4Dsyx2qpbDwSnF1K0ksPedVVV131r9fH9w/+IUqpO6VWbrcbYcZxdB69s20bb29vWCn04dOt5yW/OJw+OjoGUQpmG/u+UaoRwydFdConxzP3UTVJxEzbdInsTc0KYjVny+GM7vzy9Rfa6BxH5/CDcHh7+8Lt7QtMoFTFKBW2Aa212eMGYhWtW/bcbXA/Hvj9QX0bWHc4Gi6CbW+8bUIPR8QotWK3G2GF7mPmHht1xqOoWZKR1Chq6PwzxtM9sI+BFuHt/Q0tljQcTct1UxiHU7Y93YQOTeDUI3++bUmmYmTGdd0RM/rxSKXoXHMRO6NKMhJNzhm/AqUYZjB6peEIztHu9KPRVfGtUyydnMakC+WYIM9hSMatTAMqmjv39sDDMSkZvzdj0JKwlJndpkpEOij11hmtYySWYmapHJ17BnObp7MEaM9Iuat+WxcI+QfVWkct2fCpfBt4DHqMOYCM05LjBOsWQIf8oF5cwONCJmVu9jnVjzP/UWfI+Qo6n+CYTDRTBOIz6KhTeTcVjwp0szOvIAeGM1Ow2FT3zV+gCUIOPEHIpBIiGoTC8GWD+rQeOc9hnterdF1fVI6rPoNq/5Ed67JQ8YhsOGKCiiKnYjGmTcxSL05DHV5zJz8/5+fyMZ4I8Tql1aWwFBSayo1SqCq497z+4QzveAy8j2RemKGxAOVp0CIv6s6fXIPTZlUU9zyHV1D2PNYJfqr7DwPmq6666qqr/vP1/eM7qkGtO7edVB+u/KfJnCyl5Pq27LXnVCumBcf5eT7X3hxjTquymhYqfcTMY1I0Aisz0N6d8BnoLorpItkkwWXEoBYl+uB+HPz6ccdV+PrlK+/7e+Y+jhxwMgSTkoxLpup+ZOh8rZWjOH2AaiFcGT1oDDwU0ZgzMZ1Zxsb9o6V1aYAWmYqQkhlJ03Zl7Ts8fBKdJNdQEUZMVwg1HEWmSiDX2ABXxAQrQvig1C0Vi97zOKRQK9kYzXVUtZJ6kMziKpaAnlmZGVFzXBiZy5i3iyQrhTOi82gPvHUoQVfNa304YrnPGcnsytdn7rHujwcAzac1mz73PmZ2ujIkKzLfARGCae4lkvA08OIz99vmnmBatU/XjGWbNy6y0VVXXXXVn1Kjt7QfFcFMT/Ks2fz3MMpeEIPeBkMi2e57ri1HO2j9AC2YVrRY5jsFHO3AquVnvDu+XHLGQEb2iNGOMxtKPIE/rM6MYM+5QmvoNibQmM/vAVLm/CASBGXksEw95uygYFOZGR7P3pxcj851TJiqitxbpGV7WpLqyJ66loJJcD/usxeVBGLVJmnY6b0xAmy7sd/ecKt8dCfUUqU5j+GpPsyedu2psu3O241E5ghP67NiSd4K1fQNiGluq2lpqpb7iVK2dEVCQDP/0dUmkWdZoybYGMsadWF+ZQ0KjW3fiWKIjwRInSRdxSSZBalszfEIgZNUpsAifpitpLtDzP2TJOc8Uh16OmQMmQpOch8Uv+33r7rqqquu+t+rb9++oRFs++Dt7R3ZFSv1XHfqJAhnLnTeJ3v55+zZbM7iRc78Zx/C43hQtkItRmt+ro1QKJoWqwSMyXYxLWgsUUknRq7xbBujd749Pvj+uCPF+Pr1C1+//IXeDlprjD5O4m8timBzT5Fqy2ob+y04nFQ0Ikmoah2spPhFFCSj2FDj+8edozU8gk1yTa+1Jrk4B+4ZTaP571JKWrpamWtgugqYJmzkk1iUfTd0aYgZpRYIp247RCQhKwTRSqmOaboLLJWmko4NIYoWQ0KxkjnWquVUEWYcCyyCsXsnYvC4f2f0QbXs/X1kBve2bdl3i8B0vVArqAjf7/fcp6hg257rNxmXU0rJ8cQEDq3UJEE5uOTa7h5Ea9QtszAn6yn3MJPktbCe5aB51c/rAiH/oLq3ZBiGs/4bL0q8V3z7BOeCM5D0udn8pH47bbheLFJlgYr5IXh+PxyfDcQC41Sfisdlj6r6BLVChLC8zWqylv3LUk1maLtN67RpgKqB2BRAaioMJYxT6bnOdNnRxYlHEkwv7Ndr8gmIfP33z35+3k7Wnj2mCjK9nt1/tFllAp9pYbP6nvwwWffz8MlhfDkO0h4n5GnRsh5YNFkhSWmUF0seO9mR0uflWEA0etq0QjJrxuhTWao/XLN1LLoyQGb+B2YJWEeG6r6kWZwZpDn4vZqWq6666qo/o5I7NNfNyByo3hqiRt2SJbhUaaWWOQzMPYC74m6pfFzkG3cej4HfG7oZt/2NUjYO7XgPqlbaR0MkGYQEDAYRHdGBT5OzdCWrIIVv3+9YrezbjfvhPHqjt8E///ktN8/T9MDU2My43+/oVGkcrWdTZGUq72ZeU8gUDQr79sajDdrRU5E5Uglx/zgYI3MvtVbqJtRN2Pd9bq6n+4EqRFC3G8FBLRvuwgiZeRPkQDdZPpM4xQm++hRLmBhWNx6PTmudqprXz5R2NB73zHCIkGzoAJPC7e1GKRulVCBpjiHw/fENc0MkOI4Hj+PAo3PbdnTbedvf2eqWQfMhNB8/EKysFjQ2vn/7RtFg2wr7/p45Xq1N0FMYbpj4JGVZsmw9LeuT6JUDanzM5lVT0Rk61aIFcUnlRizi2cWevOqqq676M+q43zmKobe3zHKaLPZimoM+H9RtnwqAB611jmhozSzA5s6jJylZt1TYi87erCc5VDXooxE4ptCORvRGHAd+tOloFOi59nmSehgcI1KF0Rtat1Tpj5m96J5ZSKqoJOFotMwuUu8o41Q1AqmuN0FHEpZLKYRlT9x7Z4y0FotIizKbhGeJHCoyOr2NtFUVy4GgCG0SnkpU3J2CZF6zKGM0tuV2MHOZlFQeEI77nCtkR4sG9EhL8xgOyzrVCoyRayFpie4oIWkTn8BxQUrN3jrmcNEMSEv1fH7SLn+KMEc85xSI4SMwgVI3xGpey5FEYEi16yIGPe6PaTmXGy2FH+zXcvYgM/bmSTJe057UbAQ+Z0Ln2ONyO7jqqquu+lOqjzHV/7mudB9pia7ppGNFz7lqqeXM942RBF5x4W3fs48LcO98/37H3bn99cbb2xfKtnO/N47mqBTu9wMjgb0hTNByoIncTbV/OiSJVv75z3+i1dj3neaDxxgcR+Pv//j3dE4g7cRr3bhtN75/+5Y9uee6LaJorU+3RLXprCOgyr7dePTO0dNaVRwezfn1/p2jdQLYW+f25vkcX7a0VA9PLMHyGu37O+hBqTVzIDXPAWa2ZvjENRQtCvo45/aBYFaRLfi4Hxx0imoCwwi9D1rrp5NkEm4DtcLb2zvbvlG3PcHK1J7y7eMfDC+ICo/7d+7374R3vr69Iyi3241a9xmZJhmVIhBm6HQ0JIJ//uOfHB68bTu396/01rh//2Cr0+nJlEKeJzpdG0QwFYp6Cr2Afhy0vaft+txfpFo0nyd+mBNdIOTv1QVC/kH16HmRfKQFiQ8kcsOfHzAjw9v9xS6VeCoGZz7BKmWGy5tNIPJlwzrReJt2ZYacNm1W7ZlBudSPL+G5ywq0rBwDU4blnjmxxZRlm6ZVmJW0O1OzKRvOhmipHV0i7c1kKiKneUjEZHKGEoPMO5BklepSS/5kY72O0aYdzGd14FKcnBat7rQ+ToBTXrIUz4B7eF7ZeH54ZxfA82tMgHctOBNI7KcSYR3jEyBMpmxQTCkzZyIt9zKXqpY97doi8ylTeZEWdDlUdSo5LGU+rrigkSyTmHZryXGZQ0r108caTQZFeGZoJFElGaM9rg+0q6666qo/o7bbG6LG4+jUTWgj2ZBlfzLxcv1QblYZU5XuPnONxCiy5fAO4dEP+nEwAqpVoqWqrpSNTiokQge2BSaNiAO1QfeDxh0tQj8Oojtb2ZKgEoYPpWwbf/vlxvejcfTGMS1ibltFxOlHNgJbhRiCj6B5o3VBR0WsICWZ/n0MzCJZ+q2jTMuxmas43PPcamGE0Af0IYgb477WoJrDub6Yl0otO0t1cLvtAD8QakSSqRkRSEm14vDATNi3jeMYGJqWJ7U87eLnEC9ccmgcaY3ztr+xb1uem6TicngwYtBb5nrKBD9NFfPMpHjbbuz7DmjedmTDoFJp0SBARuF+v9OaItUQNowkiQXB8UhVKQFtpDtGEqP0BFZFDZWK6EbrEG1QMYrlbbctAdsEjWeGF0JV+6/+Vbjqqquu+r+yemv05mw1B5CqlUApVrIf9ILrDlYoVTnaN3offPt4cMz4DVSpu1FuipbASq7x/jGAZOCrOGKZPxwcjHHH/UBkOin1jsm0+1rgG0FvB1Iq7bijtbCzo2FUySiOETl7EDojGjEaijO8JQO/GjCzHqMTzdF6Y3vfkWJ0z5zpx3Fwf7ScWdqWOUfTGen99hUbzvd/fqPUL5RNUzkiwuPxYFKNsXJLEq3mEPbwoLdB6AdlD7Z3o3hHHczSpiy8EUPISW3a1OsI7vfG6C2dnRCGO0XtJAU1F4aUzGis09ZdC2OCpgEcKNLTxl00iNGyZ5ZAawEjM6GIdGvoI80RxAhKZlJKkpVEBmaePb+3VI8wpt19oCidQN2RnuRnppU+pOrUI4lkS5GZeVOdkMIYOYOYes3/V34Xrrrqqqv+b6v9/R2thaN3bmVarKunm5HV6TAIasL+tjGmFXpArh1haN1TIQg8Pu70I2gj2LnR+lTwWcW8EWNAe7C97ZTocNyJo8FoHO0DVeG4PxhjsN9uWKkzM1rZbjf+9vbO948798cHH48HRZS32w3x4P7xgXiw1S3jVPrg28f3VGvuG2UrbLctbdr7Qe9bOhHoAWLT/SAdjbwPqlTKbc9IuRF0h33bufcEJkUVKWmTPkjy7GY3ArAI3hbByMfp8Gcl1YchSaby3uitUczYtjcePYDK49GRWvn6ddrPt84YOScvamhJodDt7cbX9/fEJUpJLGLiAYjTRkNG5kNqBGNA3Sq32zu3/R0XTcvUMXDNfd5oqbKMWvj4+OARwU0Natq50waI0pAEGItO10uHuR9ZsW1SC6UoGFCEYxzISPBXzHh7e6ONMcVP0/khhCIX1PZ7dV2ZP6hgZQL4zEGYqrtY0axzsHYCX1l6AmVP5eOyW1UEjQxP/dHGbUrA9dX+dN57shzS+UNO9cFS0i1LMF3qRhMwOcWLanpmQS415GnTSqL9izH4qmQk1vkpIdk4fLY2/SOF46rX+/2ePemydF23jflHIk6lCTyPccnsT5WhPAHPnz02MBmOkQrTOQwN9xMcjMlaUFmZHMn8WPmc5wcSz+c5H/vlvMJTSYo8bdZemY+fFaNqekpLF9h8KmnXY/7mql511VVXXfWfrVoqte7c73f6SLq+WroJLDtuNUsbEs81OgnvybgjFKEgpArPNC3FNMa0XRtI9MxZIPcUdVNEOn0cjHZHojO8cY8PZGSIuw5JRYVkfoUBFjVBK8lBVx8dlaB3aCMznHwc/PL+hVKNsimDkgM+TVAyFQOBeyQb0ZWIA9PKsgbXSfqpZqAFCU2MsWRupruc65xAsp2EzF6YC1iwsp05FZBrj5FMG8flCU8uVSZIwqFaKFZQNZBkadZtI1wwAx2ZuZx7otwphOQ67rIAwOUAAWBI5ODZJns0xlrzT/oSQkGZqgwqIWM+R77Oi+qklJn1MNmaMolcrJzKYJ0NYWkNJ3aeqwfTtn3mUK1rFXm5njuYq6666qqr/pWyacXFtBSNGGDQ+wQBezraoFC3G+Vo9N5zXRLFqmK1st12ti0t3VKd0DFl2nNP+63RGO3Ae4MY6WpgMlWAQr8/qLXSHwf/uGeOE9OWNRfPAZPwrFMFoZ7rHT6I3ujtYIwjSdEEfsyoEEnVAiFp/+0DcSMk5wOlFOrYyLAl6GrQ+2TuC0ihlA1ceLvd0i7WnTEyzzAEVLd0jHBH+kDM2LYNLUkaSn+7gZFE6cOPpx1p5G7JJTMhY2SGpoSepOhllUtMIk4keFjev8zcZ2Cs+UDwNA1IYtjsuHPWgac9+mylRYLWjnPe4jat3UPwPhBNKzo1YDgaab6ajPA5fJ2zgeBs2ee/BdHAPPccmqxszDLrqg85VZqnKvOqq6666qp/ubZtY9s3Pu7pZBAI9bZj0+qz1C0/22ulqyVJhSQJZ98lp31pOuHs1CGId/qAx5HWomY61yHndqtoDNr9zvH9+8wV7Hx8/IpKWrVnaxuU0RnewXO12LaNQNKZoB2gwuMAPzrf/vkr4zj421/+Sq2VrRa6b9O1ADwG9iLoWVbzB2lziipqucYNmUCYGWpBxzNfuWiqQHlpzWfFdC2IeGYaBoGKL8VOoiHygnc8rQZYaprMl0wyk5qluKdWbqUwfLoUjlwTq+icq6SVfc4TAvA5d9G0OC+VGCPX8Ek+TseEzHsOnZN7NcSme5VaWtXWaa9qJUHa6aqQC3b25qGamM86Dc+0Z9HM0jzxkxOncIic7qwRvzDn/bHmE1f9rC4Q8g/qFeyaerQcrq2dsD5BxFXJFZSnNWnw/AVaVqtw+k6ftpzr9pob/SEvKkpLyfOr6nH9ApxgpM1cyCWp1iegpStD8iUfEvnhI+f8MIPnj2Qee/D8oFmA3jIFXVLjn2U9vj7muo4LZFyA3WeQ8PcyI19Vkyf4yBOIXBa3r2rLH37+8pinRcw8hvSRTguZPkaeq9l5vJCKBp+sCJ/ezws0Xc9znt/8NI7gN+f/U8D2lLb/CJquYfBVV1111VV/fpW68f7+/rTJRGktbUlVLME31mfxMztgropz8ylEaLoWWA6+EiR8MI4Bo7HtaZs6wrnthfDG0b7T23c0nDYe/Hr8EyStOKtk9mGUPZuMEXiDW9HMRWLw6HeEYAwh2sHx+M5oD0SCN25pDWJpMda9MwbJ4lTLfAlyc+3e06FBC8XmSE18Zjrq6T6QgN1aw16IN5NwNffc53COabeyyDwhoC/Ln6B53c7vKGvnX2a+hE5VRLFkZ6YVTKA8c6GHj3yuMQgyI8M9gdsyVR4aTrfMiDA1AqF5TCByvnaajZNNlYygmNS0tlMBCulVIcmoPYlIQogzItmTPhJF9JNsZglWa6pV1nVLm18H7AnayurkrsblqquuuurPKJvZxTKBoYgcHPkYGaXhngQcU0pRRm9AoAbFCmJC3TZqrdPaPG3FxoCy3ZA5MPMA704/Ov3oaERas3kQwzMbajhhwfDO0QehSt2ZAFyqHvpxYCJQyiTAZH/oPhi90/vBOB7USYjy0VAV6lZZnGJ3Z/SByCAs19nlODS8zV6VkzA9yPWybBs4lG1PoG4MpBSU3L8cvTPCk3skSq0btVRCcx3NGBnwMXMeJUnR0Ufa1SFnDmRmdTY0LB0oyjPTShbxOSLtc0tNws5Ih6A1IxQZP8wzzqzlOL8BcJK8k1AuCSzG02UocIos54XciogqVmwOUHPAuYateSYzMmaRjZlE8nzikzRumnu4q6666qqr/vx622/85etXiH+c/WprLZVqMV17SkHKBsy1Y2YdL/BMUWbwMGWzJOWMTh+D496JEWx7TVGKB2/7RvTOx/dfOb5/w3vHW+ef//4/c/4eCbol/ynd9Ho8OO5KrYUimS380R4MCfpxp90b9+/faI8DieDLl3e2bcvZgmbU14gE44rZdAjyuY/pSJQZS7YWqpxvJzYg6eYDp+AGPs3dlwiKZy8fU7DzGahkwoSxZgQTvETSxlRMqZYEYoohHpStUlTShWE4MRlF4ekIETOezHWBoD578dwjaJ1ksun8GKKZIx3BmLN7m+5VNq1qRRWtQb1NQppVQg0NoTgnrgLk9Zq51olBJu6T1rMFLPeAojr3WYFMJ8l5ZfIyvly3q35eFwj5B5UfGvry7zW4I8nvT8A/mXxLTTgVhDZ/mRPB1x8ARBObpL9nFqTMcKcwxSfTIG1M00I1wUQ7FYkLHEwQ0k6VIypnZoGsD4X8yM18pskaWOXxBMDyRM//YeQxzd1+Pq+skPYfgUXm8ebzyg9fX0E64Kko/HS7VzXGut/rz9a/fwNE6tPy1czO76eN6m8BT9OCEfhwRgA+X9mI83VePUNa8cQP5/qzYzifI4DQ80P+FUgcL9dqvYbhgcv44br8DLC86qqrrrrqz6tadvb9je/fH4Snr7/PdT9CMZ/B6W7gaW+SA8HlIpAcEh9rbSmoBuKOMhg+8vN+eAKaPjCrtNFo4wP3Oz0O7sd3Pj7+QRDUulM3IaSBpHV6G53jfjDoaCn0caeNB0IqGi0GZRNK3bi3D4YMSq259qvRGvRubGKUYhTNfEjT3NhbWccfU0HRUxmBzT2Hk5zInqDayf+fKkLJPYcjM7/4nP1NBcqP7P+0fi2Zg6EAIxmi/mRQCsqYjY9ZWq0KMGbuVgKwY/47m5EIZcznSaBwEr8mqUjmcbsbgRIjQUJVOwlXpvlYBFQTnMzvzNc8mbIWhpaSwGIIMjObEeFoDZ3nvwa1UDDZUoEZOq3b515gAtmnzCOWhexVV1111VX/aq3VKnvvzIR8knGfZJJiioXy9vbGtk0ikCwHnLTL7r1PVfvsz+f65hEZDjSCcwGM2WM+DsZxEKODD5ofWC2ZT1wKmHIMJ7QT/WDcjRaB1A0fk2zsg/Z4cDwetONIa9ei5zqIWKoATtJQxoioOVomYfYTIVckrcQQyVjGapSq08rdc5AWkSqKeb8WkWqB2aO3PvOZ1aiaFrdLcTgezm2vCPDwA28dDRhHSxJvz6zMIlDNqFtNQvCMTzHNeYOI0GNORtcwcsasWBw5MBRJoHeqKRyS1DVjUbC0ZjOzuS/IyJkYaaVrqgzSLs5jgDgisO1bxt9oOkJ5ZIDN6VgF830ip6IkJtAdL8TlH7UmV1111VVX/Vl12994f/vCx8cDB9oIRj9oKEMLXY0hBwUhSjoXZe/37Od9gK++1ibh2Cs8DiIGMhVCHoMxnCLK/Xhw3L/RHt/x4+D+/Rv//PvfERG220axLzAaeBJpuje+/dpwH1gt9OOBtwdB0MZIoLMau+3cP74R0eYaVBBTegxc06p9K1vaos4+vljiBaogEdMC/sh4FYyiJdcunrP1HzrNGavic13zqYRc/02voyfJZt1NFBdDyb1BLAxCBasVKcbwJCXVbcv+PYI2PK3mEfo46B8JQobOY5h7jq2mFa6ZoloI2yB67lskAVEnFY8yCWdAEsDmXqKgoBUTIawkOC2FooVS6ok5qM+4HYG+1vFJthaRVFeWepKKfQqJFuj43BRM10y/evnfqwuE/IOSCdjFzIBc0F2qIecv8vpFczmVjyK8qB5Tvm1qp3yaCVAuABKVqVAEsQQRnRxgmUkqITVZBWJ6DsuApyx4AZhLnTkfA+WpgHwBOp/MPSbKf+r3YBFDYNrDPpkSMcHR7LuCzwDfz0BCeAKCr/8GTsXfaWMa+WFnc2j4ervPCsrPAOUCeF8VmJ+BvPP28/+qCRbGHKKqpoTBRzYQeFqldv8tYPr5cSNi3j/l9jHGCYK+1m+uzct1vMDHq6666qr/mmpt8PH94HFvaJmgncgEFoGlFhwdxVCJp9I+UrkX4amSXOt1pLV20comlut5jLn+ORENjwdBQ0rPRml8R7UnCFl2ti2VAE6nlkIpRr93er9TdQPpRHTEEjispfB+2xFxfv3HN/potHvD6pb7EO94QGsHIpIZGUKyEMXmcXU8FPfAp4XsdC0Bn9rDxcmKc6x7sv1jkpxOG5dk9UzC1hzUzj2RR2AhafXqc333ntfOkzTlLvjRMZNkk4YTMpWbZJMwRp/Hqzh5DGMe5BYzwyOc5U8ATJbjdIqYilewqRBdoGjmPKkYWp7KxJjvAbScqtIUhmZTBUIp9XRB8OdOAyj5fvG154KIVJ2u6wkx91zXHuCqq6666s8oH4PwkYCT+ezLM9MIEYZq9vkAAcU2SjEiMo+x984YznEc6ZSghVJ2arEk9XoO/GKkhr7otHVzGDEYPdUIi6Ds08o0cxc3RBUfLa3jPIjecRWMCW6qwui0+4NxpL1p0aeNuJWSyoqy0WcvO+Z9Fc4e+9l3TkC2lJxXxFI0KFqSuDTmIC0EKGXOLOZMwJRAGeGpgFSj1IrWMnMRYyo2O8MEU8FbYxwNEFo7MDOKCsUKVgpFc5X06ea0DOzTGj/dG0QXeJgkKiQzq8CnGmQ6G4Uj6pMMPPcdISgVmQNGEcCd8CRdsUDJcEb03JOU6UK1rO+QyReKJ3FcOF2VksSk83hi5kutjKkr5/mqq6666v9EHY+D779+5+PjjtYKS72O0CMVgTE6pSkacgJ32btOkQ4jiSxTPMRcS+v+hs1pedqwOz7SsWAcDxidIs7DD47vv8JoGSFiN/aaecMeg7e6ow7346AfH0hsxDggBjqjQ7Zt422/YQj/47//D4520MfB/v5OLRsekTbyRzo37GVmJUcSczUGMUjXgYiZH62YgRXDFChJnsqJ/I97gkXMiqVy5Lm+LfHR+sr6KjN78YQqAdXTUWB4ujFVNd5uhd7GJGilE4WgjNYZ7uc+xE8CkqKx5R7N4kUolAIemVb3oTotZwtWy4xEy/PxqWQsNrm+KjnYkECtpuvDa+7l3AsK6f7k4ef5IpmvvUhHEcCI7OPleV0Wofj1O1f9WBcI+Uc1ZQ4SK7tosgAmAJmswgQizwRBWZrDLNMJQE6J8CqTFwXBuZmVCYYxVQUxAc0EF/3l7+eQSxahM374Sil5vAtYK6miTCDTnuBlzCyMl4+jE2CdxyrI0451Xoel7fuc7fi51vc+25au+9mL7emPlrA/gonre6/g4isQ+VmJ+fnYXksRxsvPVJ75iyaKi6eCxZ8XISR+sHr9bJP6o6VsLme+lJ+SH5avx/2bY7xIklddddVV/6X1z3/8SjsO7vc7X3+pbNuN4YFqPRV/4bkejxEsYwRdG/VgKiVz830CXQN2q9QquAaPfsd9gDo+Wg69dKASEyB8sFXBQ9j3VCOMPjfuEmylJqOewDQwTVViKRtFK2975e1tS1VEb/zz18bRG1utWJl5T8PpveXx3xQJwT2bnzGbB5U1KGszgH4gU5W4lB2ia4ezQMjZyMXSASxyU97lxNPkuUPPNVBT+aiBhhAYEjKv53OwC0rd5p5Bpn2LzEFoz+bOwxmRtriu6UYQHuAGYUi82LeOQCyeihERQjInMs9Mz4ZKZ27lcw+41vhAonK+Iea1QcCkTiZpIGd+5mrsYNK4ptJ0qh7lacca4SBPwtZVV1111VX/+YqR1qQhHecAK9xqPft5l1Q54q99o87P+bQy673Rmme2cnGEQi0yiSUJOoUHiiFWEZvrVO+4GmKZ8VxU6aMxxuB+vxNA3XfqnBEYIJFZjhqORSoIPByNQREI0xn7MtdkU0qtmE3wUHXOwPJcVJ8NpsgiFiul1Mx8iiBGnHbl+VV/ICOncmCq+2duFpKW9nXf5znnPmANLQUIHwiaqgSgWCodBE7nolDJoenoqBWYagg9VZd2koRNDZ05jukmoOfA1d0Z5+PYVIOQj4+CDLzPnrwIyEBmhmVvjbKVOdC1cwC6iNE5W9FpyB4TtMx5DYusPs8J1x9mHq/X/qqrrrrqqj+3/v73f/Dx63c+Hne+/O1v3N423AytdeYkGi7KmPm/ZmvKHSsWEg8YHmePOREx3upGNcVj8PhIUhE+OFr21IJjJnQGoz3YSxJzbrVQq9FJG1UzpW71FDCZCibZGdZSqFK53W58fXtHgN4P/sf//J882sEuQamGI7TDaa1hZtQ6e3gfmCgjUbZcFwMYHdGKEBQJuujZ0+bsG2CpQeXEABbQ5y/rua81/UUIlctbOhgt21KWsnTep/tgtIaUAPZT1BU+ZuxbukfF6AlcIpltrTmbH00YxfCSffHpMEASqJab5LJMVy2MSejN1zFdINJG1/Px0TzMAJlEsABkeFq0C5jItGv33EesYcaLU+NSPfK8elPMtQjIFwj5e3WBkH9YPgdig4hplxkjmXA6gShNy69z6gaAnCCfWA63ZFqprvzCcoJb87aWQKSLZN6BpvqRCT5SJuNO/WwARGQGD3FapqYyIj8MT7R0fiaExAQ4lzJAyLHmyCyE/BXMu81fXjPN+0/K5YLe3Efe+pMC8cyofAED4Qkg/uzPAiBf7/Oqjnx9jPU4n7ModTUgY/wG+Fy17pfDzGd2Q0x2ZVGj6wSaX7DBk/Uo8sOfz83FOgclGOKUpV7tOpm0I9Wq84FD+IF98fpYP303rmO/6qqrrrrqX66jDUQObrd3bvs7ITbX6bTelKmS85EElWWprqIn7jTGOEGz3juQIFh9e2erRvPGGB+MCEpVHv2gtUeqDHH6eACDt7d3StnY9jeODt8fB70Ht/evaDHe7Y0+Dh6Pg+P+DXwwevDl61du+5ZaOyt8/csvfDwe3FtDzSh1Q6VweOfjeNDagfvgdnvjdnvDo6EIfYxkKJID2U02+khWfx/KiALqFBSVtLNZe3CBaUvn+NIkTrWhLptRlvtD2rxbpH1tSiRTBWlaTnXhUhGktVujFJk2sU7dKvu2YRIcBzyOhnsQYvjI41dgFKPE2upOCNAHpdRUgWAsy32JtGoTLTQPOiOPVZaVa9D7yCEsipWN4c99RZ+D6LEYpby68kXmd7gDilkBnDGelu0iMQFffgzPvOqqq6666j9dZqlYPO4PpMJ2y8/87BcnIHeCVotQstTqkxAT0Huu9Wi6KETc2etO3TeMVFb0dnA8GmZlDrOUbdvRWjGB0TqWwgx672hvlK3CfPw2Mreo+GCMjtQd1wm09Y73hreG1XRIOI4DK8rt7Q0pRns0WmscI9B9xrhMpaK7U0qhbnbahEav4M7omTUVwwk1OqBmjMj+vG4bUozlaACwlULdd7Z9R8z4/v2DiJFEaR8UU7y1VHVKpF2ckLZyvVHKjpUE7HpvqVR5N3pvScLW8pwpmCJaUSsUKfgIIjpVLOcYI2cjBpk/NcndMmcoA8e7s2lJYnWAhKdd3fHANElQi3Q9Z4hzDrNmIDEpRDJt+wWVghUleLo3LcLTmkHk+88mGDxt30Tz/XHVVVddddW/VO3oEML7L3/h6y9/RWuhq4DNGBVJWx8XqKJpyT170tVttdZyvY+gj57riRj16y17+X7Qvv2TPhomPomyjWJJRG7tgYjzt69/pWyV/f2NjvC4f+cxOn/5218odeeXWjmOg4+PDz5+/ZXWH4gP3v/yV973PTOqVfnrX//Kt+/fOUanmLHvO1Iq3b/z/X7weDy4P+58+fqVv/zlL4R3vGefehyNiKAPR7f3JBCNgRcjTKE3trcvk1SsL+udsexXgSm2SjygLEeF9YdF1Mn7KWvGnnsYszL3U+lUMHzweDzQGPTjzugH79tb9vKqlGZ8PO600dN2FWG0zjGcWgzfCnbmMgdHb+ylsNWClJrOQ5IEX7Ny2sDGGIgZtZTc9/RBj5xDqApD7Ux4dlH6JDPBxCVM06Rp7pm2UoiRQKVqXtfWGvt87YTpAiuCctXv1QVC/kHlL9qUw80Pppcf5rssIgdGmsqC/NkLWDWtUBNknLaqyKmMS6kjTyvVmenIArBe1JahyehbEUILSHtVUC7RcMhiJESy+iVVBOjz74Hg4imLXrLhlSmxNvDVJvNhsiGYjH3kB/XeZ4BufQ9+rv77rGh8/ftiHv7wWvzksV8BuQVkvuZTfrZz/eH5p0pBJF8LmbexKd9XXlSZn477ZzaxP/6ZjctUVij5ga2QCxsrwJfMvPodcuTvAZ1XXXXVVVf961VtY992TAutedqb3CqglLKz324EQTv6tPsaRJCb1O704ZOAlFOqzBbMwV93Jwa4BForVUBLp/WBM9l1o02GpFBr5ba/se3vjO8H7g/6CI6jU0pQSsGiAI+0C4+BYpgkM7+3ZPMfR8vj0ELvPQenU6d5u91yIIbQ+8HjAaVs2J6ncb8/GD2biBEH2x5JptE62YADKeSA9hNOJtMORhY6u1imM3MamRkNkWCdis1jcdrI6ysibNtGWtY6omkN+zg6w4V2HIzeaJJcxt4bj8edQNj2jVJ3ju58fBy03rBhaO8gQeud7k4fDRlp79a7U2zjdvuSmVB9NiyazU7vA61lrvljDkvTSkZlTDVEsrzMAlfJTKs1aNQnUdJ0WrkyHS1iWvN6skKfmZwBcSkhr7rqqqv+jCqlYMXozafqL23XVjSJyouPwVIQTjL7Gjz5HAyqVdQqwCTHVG5WUFOigXhHTDnuDxg+FQ9K0YIJHL3RfdDDUwlYynzaBEBPJSGOjs6mBi65Lo1+Mv8TDV0gnTI8kO703nOtG4GVMfvqfAYzm881TkIVupx6lhrRaRFpKTvzE0OFKCXznmRdM8HKhtVtZi7PRx6D0SfAKYrROSIHfxowEMaRdqwajs7MJYmZJT3SCjUzHxcIOB0pYr4WstZLTZXrjD5Jm1qjWEocXPK1zLllZlb7IBUpohQhlSGaVrMGSaSKOYcQ0KpIzLiced6OZBbmVEnIi0tS9Ab+22iVRUB/+QafxhxXXXXVVVf9J6rc3tj3itaNow9MhNsvv+AqlL3y9v6VEOFoB7QBdAJoo9M9Tne8jBtLoqiVzFFsoxGkGKnuFdEbEo3++HaCXONojJ7ZwrVWbm/v7O/vfDsejMjHP3qnRsxsw4z/GC3XC40k8qaNd6d58DgeQM6gj3ZwHAcMR1X48uU9sw8DRm98fHxnq5WtvhMqjPagtYxhiT5AIteymWPooydRmCfhJufSqweN092BdW2GZ7yLMN2fHI9BkQRrCae3zmiD8GCvO4yW0WYkWPe4f2CeX/txcISkqvTx4PFoBMFtv7G/3Whj8Gvv9N7o/aD3kvau/aC3Tj8OzArBrziKlo397QtoZjvjjtRCqYXuAymGueb8o3WOnuTlfZK1ltW82YbEBCKXYEkEicBi2trawgeC8SKOWlErOr93KSF/vy4Q8o/qHKQtS40nwHfeZG5uxfQpv00p4Zn1mPanaYWK6BmgPm98ApVhgppNdaSAPTMHxMiJ1sp0nAo6ebUflfUh4ogKIWP+Ui31poL6ZPP5CYSFPNl4K08SS/RfS8lhGTlsdY9Tybdu/woMfgYLXx/3eR1/+/3nJY/f/P31MVX1N9at67aLdfjZkvVnWY7rMU41KQuEnKbRk/ERLwvT6zEtVeLrc52PJ8kKSZl/Mkw8kdv0m563XTY4BDNP6qqrrrrqqv+qWpZkIpZgX1V2Mm9IdTIoEcwEsSQkeXTGmMO24eiy8ly265brVJegRyotdNtyTY7gGKk2TOZkxx1qqdmIzKwjkYLVnVsxVHfGUIYPvHcE41Z3/MihnnikemHk8Y2etm9GEqMkNC1IPdi2nTpZmMdxpEKv2My56IzRsqmKQMIYo6Bep/vCC7gY8EN+tINIoMtmZTUyzLSNZT8fPjOSQKvloBNoPcAdLYqVwqMdRPgk8zitN3pPkDUzIQdjKN5HDmtLZb9Vtm2HR+NojXYk6NhiIDOTYoxB78dcqxs+5tGOgo/MbHQHKc/3xbLlS/JSWvLECHoPRAO1tOBjNmfEC4UqPd1y/8UkoeWN0kpGhO4vvu8ym5aLa3TVVVdd9aeUiVK14OaMmfU0ekd0ufc8ia868wdnYwYspr8izH2B6lRIeuYzaa5bMhohacW2LLnDAx+pNBSC4UEPB1P29zfe39+pW+VxHCeY5qx+ttMf99xXkCBZEpKzeRc4HZb6GJlTNXoqHjwwskc1K7kGz745XQZmD8xUDZYCPe3PtSZgWbctAUDL80OEj+n2EGZoze8t8DRVET1ViZCzhjGI3ogx0mo1EkxULDMZxwTzRgKm7QFYQcvKUO75GtqWtuvekuwkhgrnuazMqhehxLRpdVzWxVL8GOlCkWYOSG/oVL0wpjuSrwEHCSRHIKETWM0MKkPnILYTIUiR09Zv/V8m+0pV8XiCkHLe4qqrrrrqqn+5ilH2G2LGo3eKCrfpXlS0ZNSIClVr5h57MEZLB6ARjHBK3XJNtOzVihnFjO4dJ8lK5Vax4kQPfv3WU8TjztEO3INadvIz384/dbvl420bI4J+HKdycysbj+MjlYJ90LUzeq55rfWTZLQWjN4bw2F/29n3nY+PD47jkQ5Bf/lLAnRHY/QjyVaeI+7eksBbak0hzFOydPbzy/VBADyQkSSb0/bJpkAJzvN2D+q2YVqI6KkybAMNZ7NC6w0fA5s9dBstAdWPe57ngH4YrTXGyMd6u23c3t74OB7Uh3EfBx6D4Y3A6e2gt8Y4DpoKozdCjFIHXQvD08Kd8HRf2OoP2IoWkDFOxav5wASKlFP8pRi9HUz20VNEJul0pZD4zEvU2mh9OmjI3KNcIOR/VBcI+QclJyMgh0Q5VJuIvgA6GYYuOaQLme6n840uCUAy5bxMG9VYb2rm58r8uU7L1lPh+KKEFI3MUU1p3fON/qL1XQh8Khqfm240M5DQDGtP4HHZr062J3OzLKR1ymIfCrPh0bSlncDlGirCAi5/tGH9DBLyctufZTh+Bg6X9/Tnx38FAddt17BzAZGv9rCvz/ODGnLM6ekrU5EEaqdo43x8Josl1rEtG5sX5eYCR/N4I9UpP1F/rgzMV9A0G5zxw21/Vj+zub3qqquuuuo/VyKFWlMJWTywUjmOkTkOzWn9+8xdqOxboY9OOxoeA1ESRIuVF5Th5CLJOgyrMz8JMMlGwAcjcm0wEZblaymGYPTueHRag2Jv1P0dsT1ZSD4QaqoqbHCrE3RsnUGyKGvd0K3w68dHnlN9o9iGe6ePI+3dhNOSNUE0uN+/83gciMC+F3x4bsgVgo6KY8bMOBzzeFKdwDQyUXUgB4qvbgbLuGHlaKY7Q6Qlq+QW3ZiqA4nZHHUiOmJzaBeetw2hUDDN51WDum0TMIbWj2k5ZwxnEr9kNlgD94aI435Q68Ztu+UA97gzBry//YVQoY9OKZVt2/h2f+QsOpI1alYQjQQXUcIlbX/msr0sWiNSBXsSqCRmExMTgpwkpgHP/SU5+P4sM73qqquuuuo/XWZGFZsKh/obsuwaLnH2WQ5iGE5QT6tWd3+CYCr0SCtucWdEglQuQimVmKBjWqlm9ImYopHkGzU91yirSmikO9EE1phAXbFc82ISWftxUPf9fIwgB5bOMx8p9wOVUlIJEJFA5XEcHO0+z0PYbu8US8LNOGcNkaBkTRBSVdGt4FOhCEqpBatPAPQ4jhcFoM9sRacdd6I3lKlkRCgqGVsyGsPbmR01wvO58SR7L1SRBFsJYTi0CFQ8zagmmGpmyEingh4NCRiRSo3BOTUkmlDHjJSJoLcHPhrQoGx53kzykYJMQDrJ2LmPCwSrCyQVXA98zH1dsXPsqNMKQTX3CT8oIa+66qqrrvpzqhTK7UapleKO1crjaNR9o7XB0X7FSmHfCm/bzmiNj6MTo6OR4htda2zkGgRrzRZCfOYNJkklsw59LlHTHcCmE5IURg/uj0aLoN523t/fsO2WBOXWSWeCnD+4Dxjw+P6AHpjk+nrb39Ktp1T2/Y1SNrx3en9QxsiYr6MxjkbVdBZ4fP/G/X5HgVrTfnRYujCIj1T8l5JRa+44STzyCUISgXqqE8MThFxKRljKpRUjFjAJzmkMKXktPSGI0MD7gD6Qogl9Dqeo4qZpZS5BeBK09q1Q94pKcBwJUpaiFJRSNbVXPnBPW3qJThwfiMDttuUM4Ps3RnXev/4FSMv7sm/UrfLt4wN4ujipGYUfBUpp6PB0UUir95x9JKErFawqgnrasgtgVulHm6CtQFlzj6uX/726QMg/qASHfmS2cf59DYwmMyBDFyf7T56sw/mHyV6M881+onmfrFefFqvLkmRKCJ5qxtlkvB7V+UskOeRLcHLlMsX83mLqzUFfzEeQKbUUPW1fh+Se3YlzoOgywVfmIS1W33+ggFz1ms+4GobP913XPO8Qp2LwVQV5Zi787EPj03Os51m2M6/P8QoGrtd5nZHO59Lz9jkkHZ5WN6/Zkq9A5LKDVSWVMyI//OzzMUCyOPMb/gMg+rO67Fivuuqqq/686mPQ+8C2BJwcyWFhTGabR26sdTBG5j8EI4GsYKrWZro5rIWREGEI080g14mVMxCSligqhVI2xBumaYsaQ2juRCiqG6b7BCn3jH33g9EOBspt2xmjQXdGpAVcaMk9g8NebqhVvDs6GaGrVJVS0pYsIoHPoGNWqZsRrmQoVKAKpRZEK92N3qZNfQgxFs9PqBqnJSssdV82bSKOhE6wElgkJk9nBptkLacTDNbexSMzIfMpct8lTIu80VERSinIZEPeHx/0ALUNLammEIMxhMHAY6AGRWErwm1PG7llr2uaVjXRcnCcdrbTKjaSYFQmYSzVEjFf8DS8PW1rIqaiFJaNm+mTRBUMzDTB566pDo1s5swUs2udv+qqq676s8rMZpxJSaca0ad6HSZ5Jm2yYQnYJzk4Fsn07LhRlbQAM2MMx2n0CGIOIykVmWoKihE+IFLlIKaMMThGJ+4f1JLqDJ97hOHZF3o4VWquiKp476eLkmmSawTJVXOMPB9TTBXVQq0bpeSewBHu9zvfv3/P9T4igTHbEEkylU/SrUdSi3xasonKJFfrBD+FWgullFy7Wqe1RrVy9rzuToyednPz2B5tIBHcth21QmuNNs+VdT5ueBx4OLro0QUa4JlJk5Zyss7+R+MA9wRxZ6d9ujK4O8RAe6oSe48cZo6DaeWQrlYBIY5jE7iUjG7RnOsokgDp8Dn74SQ0Bzk7kYhp3/9CplZFnKuHv+qqq676k6u708MpZmz7nsSc4RQPfORnfUx3gOHO6A1GWnYCCaxFuhTlR7RAJBkl1OeMPtfkHn3GhTzBx1pvxD6Q7pRtI5gZ0iZYqdQtc5OtZK6xSqcj9Na4xY3R0861RcMtFZRY7ju2bafUmhbgIqiWXG9GEnBKKdPRKB0XwtPqfauGh3FMkNVM2WpBt0pXpftgafVO11WfDn7huca5I5HiJVVDZsYjspLoFPF09pOIdBO0kkKf0aYFe0zHg1wXxXLdTmJxWrhGwFYzG7K3xsev3xgEZdvYtkqtihUhmsx5+aBMMvemym4Twxi51tvMgvbpvtRb0B73zGGesMiyzh3hSEjuOZZ7EZwz/T7n9Kq5b8tdALDOeeZNwhIqBeFJEFO7hEO/VxcI+b9ak9X+8o18j643KiSQeNqxzhTzExjk6bmcN2B9xi1AUUR+bIiYisr1jPMOgSBi5+Z7DQBZhzMB0MwYms94MutjWsnOT5vzwTkbAKYqUufmfSz7tZVVxDqlHwHIn9WrcvFzNsLrfX92/9/LhPy953wFBJca8vW2PwMAXxWNAU9L1Ala2pSZhiQvUsZI7+95xcP9fD094mTDeEBoDjc/W8H+7JpETEual9t9vlbIc8B51VVXXXXVn1AzVF1E2bed1gdhuTk2ywFieDD6gw8/UgE3K8LpI6YKr6C61gAHdYZ3zAqQYJrPYVuu64pKRcsG3nNT7YU+Ur1X9AayYZYMSEEY/cA7iBbq9saIY6runN6D0Tu+co5HsO83eggfH3dutxtbrQl8zUFhHx1U6L2fas/cAjhmyv1+oEXZVNhqyWzpJqnsYA7ZXGaGBnM4yCRuLZLV3CtMMpdMNwgVTWWGewKUJmjozIrMa59Ky8zPFDwHgJJuDSxFimrmconSuvP9/kGg7G8F05L5FWTTEh64D4oatRi1KERmNG/7RiPt6qM7akIweNwfxLS5W8NYoaBWcO8T3M39Uu75FJtK0AFnw2OiyaT1NTjOprZYxeSRjeCZP/EjYHzVVVddddV/vpaVloUmOWjahMpcvHw60aSrTSHtV6ejV2TfHcEkEUsqIzT/rqXQedqhixlKmeuUwpjk3tGSuCORQ7ihqWQIT6MklRlIBSdVP4RvH98oapgqJobVwn7bTir0Uh5GJCiWa+QCI2U6ETg4tOPO/fExB5LGiMHHx32qE5MYbFYwfbo4OXNfY4YWm+s/SSRSxWc2tmgeW/bgI9duT+cFtdwbtOMAd/ZSp4px0I/HjK3JuYm3xwRzDXrHRmA1QMdUn861nbnXma+lj5EDUya5ynMGokgOQqdKcxyNPq1xe38Q3jGFershPhLgDCeiEwK9BWppaaulzIxKZYyOYmipM75lko96kqjixfJ2kbEmsn2qba666qqrrvoT6gUQ3G83eu8gScCtamhNkMn7wa+PA51ONYtsPHqw6Y6ozXmwpnuNJDkJMg4t2iTYyFTnuyXZaHd8DAYN15nRjCB1x/aKlRvv77/gERz3Ox6gtXJ7+8ph34hHruU9Iomvc93oI9jediKE+/cPttuN27ZRrFCtoHswfLDVQm8NU2Wr9STAmBr90dMVwYy9bsjs9VvLXtUlgbOTUy1zL7KcBuOk85zQwYpuEympGvSBkmullJLEaE+yFAiMReYNrNh0CUggNQlCpDVqVFp3fv3+DVT5Wiu1JOGpqNKYs3Ofr20pVLVUtBrctg3RgkgKe0qykLk/7kng7oPhA1NDaqUUo/WOFNAQJPL1BHBRRowTK1jCpqI15xxLBallCqs0HZfC8bHIYPb/xm/D/1/UBUL+L5SHJzvwh8qNPbLsW3KsuELLl+ogkf7ZFPAZDIsz7NRmpoPIUlA+mfMrY3D5ropr2rzO1mLlU0bEtGDNnKL8hXBegb71S/+5YtmDyVIVauY1zEGjqp18wzy2J8B3XpEX1d/n770yI1eVUmZ+lv1gcXoek76Ad3NxCSHVBXCqR9cHrfAjuPezPMnX43VeQNi819nUybq/vdjAzgYzRHFRBGeI4sMRiRxCQipMCVqM/DCe59575lF9vj6p7pS08Ymn5euq9T6bd+BqW6666qqr/px6/+WNL3/5ShVDJdhM2Yvx9v5G4NyPD3pkhtCIB8fR8MmAzw1nMFzZbu9MLQRqOyJOBegO4lQZVE346RgxVXTKcKMPI0IJ32jHoG6V29sbIgWh8La/cz8Ovt1npkMxhguDyjEyn3AvihIcHw9GH3z9+oW6bcRx8FYNk+Drl/cExUTZrXL0zvfjjlqqMDZVGIMiadN2u200F8ZoxGhY2RErUCSzFCWIaS8qkpsHFZvuCTlNFTUcZUx2oLg+nQk8s6vMgs0SnDtG52ZMtiep0CBZmu7BVmvyNodTNbewZU+16BidWgEtmFW2UtiKEqSi0RDKdkuSkhW6B98fabf7dqu4Dv7+639HVNlvb4gMio1UnBgnqSjd8yOHpgiqz70cIhykbeyZK5a7E7aip8ODqlE0/22iiJTMtBBDUdTrf/WvwlVXXXXV/5V1dJ/Zu4JEkn6WrejoI8ExkVQTyIGVtEnP3l+xsnF4knJa73QG+7TdbNZxgaJlkovSitV7h3Hg8kglQE49uZXC8bijVrCt0sMZKtStUqrh99xeCPA4DsKEFp02gl/ev/L+9pb9ZO/pYjAVmsu5p6jx6IPeH4BR5jrpAYwGPti2N/bbjfvRaD1obRBV2LcdqyXJxyL4jBlRK7n2q0IfHL2hVhGHe+u4Fupm9NGopry/7zw+vmXGZHWqCd9+/UbQ+eXrF6oOhn8Q4w5+oFrSEtYKQxOc7aPnWqhOxACDoFOqcyuKSdrbNx8JDAa01pBpBVur5fUZgxiZj4UHfhz0kVauPnJgWG87lYDRkchsyTYGj9boAlYrYSUHl6VQtp0yB4xFFUxoHrThE8QM/GW2g8jMCGW6bOSs4Kqrrrrqqn+9vvzlF7785Rc2qxTVXIPV+fr1C0Lwj3/+nd4emAnDPdfx4Um2mUKSPhq393ckBqMFtVgq6yJV/Y5kNEiQ7gJWCA8YgxadA4VS+R5Cj2AvG29vv4AVhlRuX/6N+/3OR/vgOHoSYTfD9l9oqrTH4yTNfDsaj/uDv/7lL9ze3mmjs1dBUf765Rd8koWt7LTeeDw+UMkMSw1hdEdGEonetpoq/aNx3BtFKlI2TIJOWorrsl1fjoOk00MKbabtuz7/LZZroZZ0R4qROZDVBB95Let6BJEzri4iaPcHVctJoNI9yUu393dClGM82Pd3bKvUurOVSqHiLWgHEIW6f6W3BlpTBfv9G7UWbu+CWeXbv/8dRLm9veVzuFOHUxBCCoJgA4TBrul0UGZ/vwRFqOE6aEHaQM4ZvEzXIwnFTJFQxjEmUboAnvcNZfTL+eD36gIh/6DM7MwcyHnSsu6Mp7SRfEPqCSDKCUg+//5jHuG8U375jSrwJ0o/ScgxTm3kgt2WDdxSOq6BIJ8e88Xu9OUxfzgieWoP5TfH9rxZpAfdbwDI8+cvVqmvf3/NM/xsv/ofZSAu29nXg11H+jPg8xWIXKpIEUkJ9au6QFYz8GrV8lQquvsJGopIDg/XbV4uufxwLZ4Zon2A+JNdO8Y4H+/3sjJ/VvHjqf/4Ylx11VVXXfWfrrf3r7y9vUNP4A0Jqin9uNP94Oh3hncYgZPs/t6zgTEr1O2Wg67+SJtVUVoHobObZjwAjuigGKmwM8VlkWgKapWIzIAsVSllgzAeLdePfW/UuvH2/oVv377RAdtuiOQYy/uBKOleIEAIqka1iuzGoWPmFgS1FBxok/RTrDB84CN3E2b5tfeGe5n2dFP1PwYRRrGNEEtgcBgsT4a5cVdNOzcWyUZsxljnBj5EzpwsGJNoY4gopRSG34GpHmSkKgXSimbmVWeTWSiWCs2jO6DUuiNWUc3nzBwqoWhh4q95fE7mZPY+h7jfOR7K6JBXcrBvt8z18shM77nnEsk1fpGyVFM1mes7J/iYUdoTqAQIP/eEulwWPIeWyShNBYcIp6vGVVddddVV/1p1HxytUabN9fCWqnVLRd0avE0WKrAyAFerr5kBKKCksnEpDceMSnm6HWUmJECIghV0kY59UCLBr+7OGPkn6MAt7U+RJCVF2nmXWrndbukQEHkuSKruRKCWitW5rg/n/jhSUKk5XB3eaceDow8IeNt3St1QMcxIp4GVnaySSs5pzWrTgjQkibs2r0cpFfdgONRt5zgOHo8P8I4Uo2pal9WtEt44jsyjfr/t3G47o3WO40EbjSCzkmsxtBb6MmH1QMtGtYrVipUk5pgqRdIlIfrBiMybImKqHwZB0PuASIWkt4b3RowcRpoqVowxbeFu+85WK/f7A+8NKwX1QbQ7xxhoM3pJ5QnbLfO29hsaQYwOJJk6rVrztZOXMZFIOkYsJeRVV1111VV/Xn395Re+fv2a+M8PvfyDftwzK7A/GJbqQo8JRPaBlkLZNiyCcTxy7XSnT7DN9rcUrkyCShEwSYKPa2YFWylYKUQ4tb5TVdj2G6GFYzgRjccxKNvO25evtN5xDbYtswxtjFRHzn5XrRAoZb+x7TdKBI+5jhLZy4vmbDt8UEoqIUdPF6GihqD05gwdSYUdftrSEikGUgwnY9jW8mTI6fLH/KqmaLEJzi2QLgnGwwf4SG62WWZF3zbGt2+ZQam5Z2I6HT2ORmhazppV9q1QSkXMePQOYtRNKVtFS57H8mcUKdORKjI6Bjhap/fG8MFAOLTRRu6/fHTe3t5yz6OWqs45q1ioSNqsT/f1yGgWj0nc8rmua+IR9opj6LN3j5gxc/NxEz+Sk0h91W/rAiH/oKzkIMtnvsBL4mD+X5h2X3oCjap6NjXAVC0+GQYnAPcCNv7RH352e16AvNRGz8+LOKXSnwHNs8nS5/dkIvv+sjd+vc+pBHwBzz7nIK77rPoZEPn681dr1KV+fM1nfD2GV/Dy888/W6ye+Yov9YO68uVYPJZaA54ezumjPaZ39bJ1PUHIiAy6n3pHfxm8Bq/n4Mh4Wr3+LD/yfD0+XfPP1+61/iPA9qqrrrrqqv+92uqOamFEA5iElcb3+3e6PxBzsJlDOPoko4y05gZ8NGRudGVZmMVAJAed+XHtkyMkiMZLhGTmHsq0cg8RallZSUwQr/DxONhEidC0XyVywy4JInoE1YSqgsoO+2DbNup2Y1Oj9kHrR9rKTrKRL9syyedtc0C3F8XqhojQWsMlMg/THdFcL1U1QcNIMM3P3ExZMVuE5E5kNUnZbMxh5gTpcsj7cjwvAe5qBlIYveX6Oe3NYjpASC3UUti2jfv9oD8OxgjMaj5i5IC0swbKc5gasO8brR+pzJzNzSIIqSoeg+O4A8EugWCz38pBZ1qtdIiaQ+1plQcJbkaMF9Xk3MOwGJQv+59YhKonmClzgPmzvcxVV1111VX/+zV65ziOZNyrZibU6GyboKVmBpJ7AnIza/AEBEVQnFpTGRmSWU1WNJX+iS7NT3KdveAkH6tCGMhIQFIDRqBaCT9wlyfRJxRV2PYbUsF7AxQnXXW2UhmPg+N4QOSaaWaUWtjebuk28Gjcv31Q9o19q9Qtz809B23bVjCSBHS03J/cbm/T2SHX3Tzm3LOo2QnG+rQLRzKDqveBRg5Rxxjc52BzZTCKpFVtO1LZ6ASlTsC0j9xfzDVXLLM1rRTck2jk5CAvXZNywEs8FZ8x12GPTpFco23uKCTSeh13wjvunTE60Udark2nquUtNHyk61O2+khkvrVGUPAkYbVOxJZRK1qIOvBptZvcr7k3kbkvYvzQz+feYs1ufmpKddVVV1111X+itrcNq4X2yF7eROjHwfdv/6Q9PghvSW8Zksr/CHz4c52Yucn98UjyqYA3RSMYchCS64JOAC6Jv0vYk5/zVgxCsarU/Y1SK4eDiGKl8P1+Z79t6fOuwoiYlq6eAOa2YwFVDUPgC+z7zv52Q1XZ2iT0xJhKvDVfzmugCO04GMOpdmOrqcQ/HgfqILVResfmWlcsnf1cdOIb2S/bjE2xiFw3IfcFE4gT05kbmWt9G2M6CDIb/JzPuwpGhelGNKYNQG8z9saEYoVSK/t249GOPD93bKs5d/HgiDHtaTnBUQnYb28c7UjXiTk/b60xTIDcxxwf35AY3G7vWCnIJCifYqMI1LYnljFJ1ScuEDH7+ycIKf7EJlSe4iWRJHHZyzz/FYO46se6QMg/qIWOr4zHBAQNEUdtDpTmhnNy/X8AIUUkrbaYYOQPwOL/Ogi5bo/+VmXJtG1ZQKWq5rBwBarP5w2SybjiVNcw7Dyvl8bhMwC4WKILTIMfgcbn9XoqD38Gpn1WZcJvQcj/6Pavt1nXd30dYyCS+Vbrvp/BzjVkZF6L0xuFFzB2Dmf9JYhW5gfe52NY9dkG9nVx+2wz+/P3Wdqz/UzR+Xp9Xr9eddVVV131r1VvwePe8KNTTDELPr5/4x+//k9CO/ubpeLdIFrmApoW3r7cEDW6kwDf6Mm0sx28IRq09j2zhae6LRx6m4rCyWZcLDvRbAJclDHS1kt1w+qNAXy/t5mBWBOs04LpQGzDUYyYNiJgWnGHx9FfMq0SaB1HbtalKhJOPx6MMTK7QEA1Qc3ee9rXzbU1cyODdHkPHM8Bqk9HAWIqEMkA5SFzaAlbMVbH5sMJH2klN1rmbQiMIZj5ZBJuiLQE80g16fCeShCmSnBklsT6M1o7wcA2j6+IMWLuIVSf6sPQzGZ0wbRiNsE/S2YoKD4CJG3gRJl2q3PA6gN3MhdCmODpAjvn8JK0rln7R1lw57mnmW/AEMxyoLq+l33aJZe46qqrrvozavjTiWaNspoPjMBmr+jEjDeJzDNarkMhBJb5zhHU02Iz14Ucii179ie0pWKnmtF9KvN8EIMktmCoBlYqVpTeHVNJBb4aox2oVu7HB+0Y4IK6MPokRk+Cy/B0PQ0RtBi39y/c3t65vd1A01p1KSrFChKSpB0PrFbevrwzFqhZEqSNno+vxQiXHwaIOZBMkDAQpBTELIlRKFpI69M5q+hjZOZk2WAqM1wWeWcOUlD6dFtwz9zJcJL57ZNknBYTSMmomLkao4zco3kg0dPRQWdmtHiChJqzEhcoxdJiPcZ0NIDj/kGMnuStWidg2Sk51mHEIFwQ79APGiBFn+Qyyz1OiKTqIz71/K8zm6uuuuqqq/7UenSH+wfx6BQ1qii//uMf/ON//HeiH+w1I1dUcy0Ock18f3vDSmEAx+NOOw7kdktCS6Q4pfWOWlpvhyp9klFbOxjHgUakEpDpQGCCFmEQdByrG7btDJyPxwP3gW4bQqC1Qh9sdccwxNNxQEiyjwOPo6E27eFV8BBGazPbOcmxx/1OexwZnyaaM4uY4N/ouCraG601qg+KCGNaAmaO4aIEw76VnP1HZEZmsmqTLDRxgxED74MxOv04EguxzFMuE8jUfYd+4KGEzuW8j7MnFjjn5TlncHpLZ4OciYN3nxbxMvMmE1ch0vI0SFJ0xrvp8zitwhQcKQ7eMNbzJgCcbgoOtsG6Fqd4aOZkwsRB7Id1/MQY0soJIS35I9a+5Efx1lW/rQuE/F+o9fZZb9xUJ9jc6D4zIBkvwNiy10LOrwJn07BAw/8dJaQuZcHrz9aGdiohWaLJk5GXz4lknuLKHHyClpPVIBkk/6pqXL9gZhkgu8DFnyn5XsG+9f3PQORvrusn5ePnX9TPKsjP3xeRM1NSZ4bEq2LzFUB9fc6lMHAiszvXc6SjDmOGyccLaJnMRjll1iugN/NCnkqGeWHzeo4fgdSfKT2fX+dr9QK2vl6/60PsqquuuurPr9aCoo6GzEHhg8fxQesflE1mSHtmEzk+QT7B1OfanIDX8J4TLpcE56QwRjokuGuyEMXJqdVIUA1gWpGJGse0RB0e9MgN2mMMitUcGGpl29LupUwGIWqpyhuNGIPBmMp8ScCPhk+Q8LZbZk1p5i+O3jkeD1o7+PJl2ZXkXqB7gqoeGbTee6OUBDVVhejBmEQbQXMouSxKgSCztIVkOy51osfAveMxMMnrmSugTzJOqktaezB8oGKoFYY7RSMzMOZ6HBH4tJhT1QkCV3p6qmZmldjJVoRsHHs7IDQzqCRtdcSyqRIJkKDoDKAvk/n4QmaSCNTSYiYJS57qRV+sR53CEpkqiacS4rP6cbErY8yGR+Lcp1111VVXXfWvl72QaVc0xtmbTYIvZ3fn8/M31eqKETIHVrJcCITuI8kjTyMvYH2+JxDlkZbpE7+bP59W4iKglbIVrCgf9w96D0wjgTyMbcvhXTsOeutUeSoWzQxRofXB49s3rGZW4V//7RdutxtWM/fZ28yy0pLDulLYRDEP6r6jpabCMIJaN8SU5rmPUCup6COHlBLgkXZ2qExL+QBV6r4h5DodcYDqnD+k5ZoW0FLpHviIzKLWuVsIaH2SmxBGS2u6oY75gJHZzppMKcTSRUJJ0g8+B5mtJVlJSpKBRBATHIOoeAib1UmGcrZ9oxQ77WIjMs8pPC3uYnQiHgmqSlqxDyRJymroTSi15H5kvodyXvKJoA0XCHnVVVdd9X+ojt6yn3QnPGi98/3bNx4f39lM2KwkUOjThUeUElCnohB3pPe04ZQk9YzR8dJoJNFkaPafMtcd9ySrpLHRVNlPIK5Pp5+0Rhd6+ARdAquF3d4hnLIVtATUjXE02uPINdtHOjEA8fT0ISJ4f9sh0l8nYvB4PPj+7Tv9OHh7e2ffKiqpYuy9sdVKWM4K2uNBOw7qm4NlT9vHmDnQGRmzxC9n3zs3MMWMmNdvjJ6Wsj2jXlQk1ZDup1rRrM5e3hE1xArRR1rXqs2eWBjDaa3nzN2Msm1oqRz9IETRsmUGpQkm6TYVo9NbQ9SwUmecjKGmHD5ybzDVnqUWtmrUmvu0AJh9e8iMQQFizGsxnB6Blpr4ztzHzC1h2tLGCz4kEyMSfWII5GxgfCYkXXXWBUL+QYXzbEYm0HeCY2SAqU2GfQJGnIDVCZbp4lMuoInn8OkHIOq39VQBnpO6dTQTEOU8Lk52/QK5Xh9ons/8+zng+gx2/qReFYevYOTvKSHPa/cTAO2zMvLz33/273W/V3DxFSBdIORSaq5jPJWoZr9RcQJ4+AnQ6homwsmW/Wyh6ut2shaFvJbJlIiTGbFYnU9wcbJVF/j5oop8vV6/d/2vuuqqq676P1WKaqEouDc+7h+MfoAE+63y/mUDU2op9O9Hbpj74HH/lYjMbdj3G+2AooFKbmARxyNt0FLVmBtds9wTREylgIJF2rgeHwchNY/JMlC+9wT6zAql7kQ4rTUkNFn/WijTAs5Jy1YVm9kNmZX4tBot1Jor3cfjO8fxYIyDUoQIz39zsG07+34jpNI79J5KiNYaZgMrc1gbqQjUScZK25Zc+/ro59rYR3/uiVQoValF2HQO/GLgcdC7ozooFVrvDB+87YbIjo9ANBWbp2pTsoFJqzmjWE3l5Ej1g4chrsjMm0QciYFqTQAy0lR97RPgONUYySZN1wuZVqvhi0SUYHLvB5DKksn4etkH5L7PX9b1tTdJG9jpoqFC72NmU04LVgl6b/91vwJXXXXVVf8XV7GKmeXnbzhtdKxMCy6VzEiCqTI4bW/yy9SxDx9pyaazJ50q/HRHWqrJ9YyTkDItSs81xqFIoW4bDENGp+6ZezQilRh9BIJjItS65TENJ3rnODoezrZtlLoRBI928BidKlBu72l5um2opfVqkaU4NFCjbDtWnaM1rKRrQkxCstWavX7veR1EEY25nmZ761NBIGqntS2AWEmliQzcFHHDimBlw+eaWradaJ3Wj3SH0mmgOi3lZJBq1EgL9bS/z38vN4Js23M8KyR4GnMNHa0RKpgmYCqTaCxmhDu44RL0yCzo9/09AVtT7vc7fTT6aIgHPno6RcSDCE/yuVWY6tbejlSxTiu+KYr8zRzkZ3V1+1ddddVVf2Kppo1oVaJ1Pj4+aMcDAb7cbvzt65dUsgscjwcB9D64//pPRgRixu3tnaN3KkGJSAtu9+QXN+jBBLvkBCNT9T+JrnNO/P1xp5qiNcE0sSQtjdaS+LLtuDd667mOhqMlSSrh+TwMoWzbVNnP+88e0eqWUSDe+f7tVx4fqeAs00r9OD6StLTt7LcNqUZzaHPdaseD1o/ch8z4D3dHZrzImhnAFObMNW/NsdcaZ2QWZjWbIF7HW6N5wwl2M3rPmUhRpWwbwwcy5gxfy1wLU5k4wid4WRIEdmeoUFRwUaooYoW0uE9Sb7VKCT+tcs2M6Pc87p6ELS2OhE8HhEinhXCY9xutp1X+7N1d0v3whFimwmsBwar2A0aQ+yShHYPej3R6mj87rl7+d+sCIf+gjmNwqznAUi3JEBgx1Y9yIvkqgtY4gb8FOGb3EeebOG2/Flsuw0o/y3V/pkYUXWw+YA4cPwNfOWRbwOBk0qucwegxpX5PZSepjpy/ZQus+5mK8LOv8au16R8Bj5/P6zPD4vfUkus5P6tCPysJf3bMq+ErpSSA+Cmb8fPxlpk1MWT8oKh8PdbP5/qqsHy1XM3bxRxqPpm3qsmQWI3wa+XP+m9A6c82uJ+P/6qrrrrqqv98jZEWoO3+Qa2ZC/V43NluhminlMr+duM47tw//sEYzvv7O3/98s7wBPYej0ZrHwSdff8FkVRUqqaV69OiO4lNstj/I05wEjG2vfD98UEtO9u2EZHr8uiRVrGS1iMucywaYEtZGTptQAtqFVMjMFQd9YHj9Gkl29qdj2/f8dHYJomHMdKurZS0qVPNnEqmXdpiPrYH7QDV/bQQV821qkeqLom0i3PPRsbMTku4tUabKcWUFDHkkHMN8HLNTBsYtBKjp40cwnF0iqUlXngQBTzSjqaPzNu0UumuRGSuJOi0fhOKBVJGHiQO7qnOxLFixMiG86mIGUSkqiWXXiWB07kTm2xVps2Lmi5zBJDA5nlDsj0JQbCZUbX2GMslQSYQGaeTwlVXXXXVVf9aFTPetp1HGzNLsXB7e0PMpg26gGUP7W5TsZ/9lgU4wtvblrbpgyQRRWahxBhYTXWcYOz7hrdUEnoE6oGoUrSAK+Mx+Ph4ZM5TMb7f74wY6Ujw9sbb7ZaZRdORR1H2cqNHm+uQ57qJUrdK1Er7+GC4cLSBdodHo2xJwCm1Emq4KFZqsvXFqFZAFK2VMYm7CKcKspjhU8nBtIs3EY7ecrhZaw4sibQ/Ix0N3Dtixl7f2Ezo/ZEvgs9AGKuU6uliIEYxw4A+ejoeiFLMTmu7BCPzmqtVIgbh+ZrGZsiRvXX3PvMyg9EapZQkaZVCUUW14jpVHVpQTfv7e+t83A96H9PmLXv6MXK4WKxMl4aC1YoznSD6QNxPK7llTbts6M0sVbIvs49ls36t7lddddVVf1713ilv7xwfd4oIx/2D799+5ctmqDgmwdv7G8fjzn//+98Z7nz98oV/++Vrgoe18v37B/3jOxqDL7cbHsH9447dthnDkQr9dAHILEdWVrIZtRREg7e3ne/tQVXj7e2dEKWacW8dsXQN8GG4f+AjMCupxoQEtKwkRmAFLQVMkTHAExQNU/a3G/fvv/LPf/yT4/5Igq4o3gfbtmU/O23EJ942Sbu5XrXHQfNfwWq6OqqixajbhuPTmj4tXVc8WR/ThH3Ozc3m+i2azgFM7EINJWNdHu3I/MZ9m3sAiOOgtwbiFK2gipaCdMCCMR0n6iRg+XREklqxYmfMXW1HXo8xnQsiu/Zt2zIbcnRUgpUb048jFZ+kw0WSzmBMcjCTjKU2n+8UeD0VYBZPURFAD6cd83WZWZ0hzEi2P45j+/9yXSDkH5THyEHWi/TtVeGW3wF4qiDX9378+QIls0R+nyH3vM0LILUGdAtFXA+2PrNe7iOStiCnKu+0mZnA3gL9foeK96qKfLUv/awOXN97/fr52F/rM9j6OTPy9Xx/UCBOIPL3Hm8d42eQ7rOd66uCc31QvQ6Iz2v56X7n880/6/sCqZAYIxvTdW3mjdNmJmuBiQvoXef1el1/dh0/f+9SS1511VVX/Yk11ewiOhV5Y9qHppJveOdog8fjO8hg3wsejV+//TuIYlYwq9zeKnUrWA3wBMP6GBNk88mez8wpk8LTY2GmNM+1OaY6z1QhDPdkW5pkDkJCY4JFkqAyAkFTMUBmFKnm8C1kMizNIQZ1TwXm457h7yKOVUlVgQh1KijSZnWSpQRCZxPD3FBHgnMng2meTUxCFjAdIJ6OEZkBsRbZHNx5TnBh2twm6DjJXJJClEByaClC9Eeef0APwVCUqUJRRaRmZuYEf5GKSp2MS5v2+akyEeYwl7TaHdHTUneezSKRxckSTWRRWGvytGhXOcPrwYkhs5lJW5hFFIt8W5yve0wni9w7ZPMWk0mbe40f9x9XXXXVVVf958on0x+YLgNyZiCqGZJmn4QEOpIQYkYqKyyV8L0HQcfMqHWjmmaW4lQu4mnnbZFWaN09VXqRCnwYxFhgn9LagS+6/QK+fAFaTEvQQEJQMUoRkMx4ypwnxyJtVkvdsu8vdcYoLp1g5ke5z8FYHziDNvK5QpSdzH7EjB4kuUcV12kxq4Zaqgy0VGxwOjWECJk5HWmRGgJhSeAJ0tLMJnjXMmfaArSUtJNn0n2mmkAtQd7MlypTSTIHsZI9++id5gNX6L1xv3/gM/OzlIKpUms9SUPuaWaXNnvKttccwrbGYwwqIMUomu8DPBBPB4SgIFphqh/UEkg2gZgZUTnUdUQDnQSkkzjNc4ZzAY9XXXXVVf9nSsjPYhWZoJRjkmt/73AcB3jjcf+OibNtBe8Hv/57A8s4j1IrX952ttuNasKQYK+amcCRICAjSbOjdyafmNRCpqMAY9q5Rjrm6MyR9Jg9sWSEW+BI5J7jVATW1T9m/2elZE6zKeGdGJkzvb3t9HC+ff/g4+MDGc6+JZCpArUW9rdb5hrO/hhJwq5L7kl6Tycl6EQoYs9ZBEtERX5do+d9+xE2ipF7EdRYSGdG1mT+ZvbUOkFNRYtSgDZfnyE5f3gKoRwwKIZUQ10QGVAKUipSav5Mdc4WjBid0Ufa4sYkZXufxKHcawV5XX05PMy5xNP0Ir8XU9kakNbzfcx8ybSUl3kdw5dqMi9TEss1Ael5CRPQ/H2s5aoLhPzDWsOl/J18go/r78+a70Q4wcjl/S/rv0+KPnj+AnyuVyWcyMptjKlM4Hzc86s8fx+eNrC6vnE+1yLoMzf98ukAPqsaPwOPny1K/1frZ8Dlq6Xr7z3W7z3XZ4UgLObi+OExF5j4+TESjE2vXZVx2rGu41pKytf7OKwX9wdVpLzkjCzWQ/Dj861jeL0Gy6L1eY4/ByB/Tyl71VVXXXXVv1YqybA3m3aiMdAi52f647hzdOdx/8atFmpVHo8HrTu1brSRKrpSK1Zg+IMxAatlMXZSWNbnuD83pnFaoSUwt9Zys1TMjSNtw438kyHr6RyioidUpZKKjlweDJEEIVUCxFm2ZLk3TnVE2oGmwtHJhkGj4pF2JVXzAinZQDEt5sIHEn3uOV62kS9rlTPPBcm8hecWaa6xc3A7MxBlApwRY95W0xqGApKWd44R4owIfCTZyjBCFNQRq0jZcuAbQlBASoK0YhMYDUwSgCQGIj73RnayOHN9X+SlwEfL2wTYmjJGqjnDc28W8bRqGWOsHnI6IuTjrvdFNnU52J4xkfP94Yuhlizbq6666qqr/uVavZmqpfOA5WBQZl6Qs+y5Yg4xO2rKvt1AEuxqLS08t6rcbpWt1jnQmpZtPnK99T4zpjqMjvgAemYhj4HqhqpN+/Ngu22oCxGVIDj6QZHMV0ozpRykqcpkqgyO3ima6giVzIZGYURQkt2Sg0c0wbeAkJmHGcHR/fxeHAe38k6ZFmMjIPMPdc4ehDLXRTWjBmmJpjrBzhzKmticUTjhkgpJZ4KYhdEHx5G5lpsVbPbArbW0dJUEWwFMC1Y36rYjc+gYmurQ3g+6B6HB6O3Fbj7Bx1IrtW6MvvYUSaTKbYCh24bPweXoHUQpdU8i2ARpQSnp9o7LAUCIMtB0SpAEZIUkIDP6udav0mnjDsx1/b/inX7VVVdd9f+9MsnPYhOl9QMiMDV8HByPzjd1PhgcH9/ZrFBNuT8e9DHY9p1jWhXVWikqtMfjnOf2nrNmicybDCapdM52VWT55iCShBcVMOHMMXZPIrFOtX0a8SzSba4VMtfKmAMCqwWrBVHDXXGba12p0BtqhdvtDekHRaA/Hrgk2LbAxAjHpBAqlFCGpuPTGI3oSkQBK9iMjkOW5fma1+cfEWGr5TmXdic7/Mxm5vz+oIdPQk/OAbSUtEQHMM98x0hV5ABQoRRFsCQ71Q3bt3QPVHsCkJbHunANFUuAcUTugZbqMFYvP21bmXavrU8ycJLMVIWIjHhx9DmXIWdArTW0GBYz8iUZ1RNgZmIIMgHHfE1xP3Egd0nC1lU/rQuE/MOagfM/KOWMBW7LfHOnRI6XYd8CBeVkJiQQuRSTK8j+R9XeKyD3gx3rixoS/7SXfQUfdX2dQar6BK1OtcVUABpzg83TTOz1eeHH/MLPAOQJkP4HIOLn+pkS8mcg428Awxdb1M92r+u4fgT0fgum/uwYFnApi5niz3yoeAEwgfNn6zheszKXyjHZqSnX/wwq/vBYL1+f3ts/Htfn4/0jwPaqq6666qr/vVKDIEGjfrSZb1hofuDufHw/cBoeB0Sj9Tu9D/b9xv6eqsHH8cDU6LTZrKwNqKcWUDTngecgaq2lcAKUQB9BtY1qMnOGAiSmnZgg4TAGDM+mpqXiMmIQPZ7sPM3Nr0/l5HqWR29sVfny5StvN6G37zzu3/BwhnceD5kKiQlU7lsyN/VJwgrSvpSe+4xiMZWOuUfyqTA8bUZF2K3i3lmKR9W0YpVpq0YEbQyGNzz6VJ5kjpeo0tqgt2RUhuTwMsJpDhZ2sixDN0Q3QgYhqWwZIWgo6pLNzmQxZp5lmwNikvYYQuZAks8VzGYtkp0aBjbyNsQLWJlqkwVUjjnwPK8Lr/uR828v1vHZzSQ5amZ+XI3LVVddddWfUvnZHFgxtBpaC6GGbXsCZOH46BOoLMRUz5eyATHVeblXiBAYkhZpOFXTzkskUAn8eBAZpsxombss0XBvqZqsYBH0kfmFakrZK+VW6I8HvR04UEwpWvn45wfh2WNuVnIGMa1UQSaJyU5F4RietmktCUwjkvdUrNB9TBv48lTyv/TEIyHEzJDUNVzLjKZzJrEAyEit5VIRsGYbEzQlHGdOY0WJyGMpqmipqChOR0YgpKOQSbo5FKuUslFKTRXIsrCfVvTpZsAEFsscuMqZwRUzFzuGP2cComgEQ4SQJC85EFbQbWMcnUFapupUOc5XPKNrIqbYQ4gJpGJzPuNJasIHZ/cuT7L4hT9eddVVV/2fq6KK+gQEe5JCdN/oj0YfB79++yBGI7zRSUvP7s7t7Y23t50RweO4cyvG6Aet98S0LG+X895UMq6OLiJmpEcSd5PZ47QQ6vuNrVZsrtEq6TakKDGccTSiD1yF1jo6icvd45whJLyXzWSwItycYwxutfK3//bfeK+Fxz//wcc//j371Rjc7/ckVmlGkbyVko4Jmf8yATOnj05Ezv9LLacgRyZh+bMQJmNlpk18ZJ+qplj4tDUNWjvovRFjUC2JTFstaKm09uDRGmqSxGDSZclVcBWi1Mxu3Cq63zDvWBuE5X4tNEHHEWs9DkbP/c5oPZ2gxKeF/BOsdDL3e4x4ksQZaBgucLMyycxrvU4Xid79VK/KSx+/rk/eNoFIkYzNy2uTr7G7U0v9P/q+///nukDIP6inEjEtR3JI9SMIFC+q3GVz+mrnKSmhO5HxpQKA3wKOP/v3U9UYfJpnPWspC9bzzoDVBUr6nI798IvzCZxbz/vjucUPt30F+F7zF1/Bwf/IZvYVQPwMFK7H/HzbnwGI/6t2rwvMOxWKP1EWvqoXY+ZinPYpL7fXeZ0Tc47zOibLIRCf11Y4Q+31Z68Vv319f+88f3Yt/3/s/W1zI0mO7wv+AHcPUsqq7jPnnmu2u9//u+3aXbM7M12VKTLcHdgXgAcppbKqeyrnzZ5At0pKigySQYruwP/pBCHPOuuss35OxZITYN8YndoKVTfEOsMme//GpHO9FGpTZu+4Gt064+s/cITWLkglswUDpAKo9T2RSDLPefRxfLYfan53fArbtQbb0CYikyJCKzVumxvt2QdSSwJqwUT0zDQQAbFlA5JrCwFGuqfFSyls5cpO535zSomhoBSlz8k+DS3OtrIhZQ3kSGZlrFclgbRS4vfKw4bNlqqkEJYsadVi7qEIGcuJwRMAtMNfQlWoUiOc3sPWdp8zAExJK70JeORAmsN0DVUkJQaGeFi1UnJoGIQrx/E+cOvgA/FkLZZc1dc+zFcudDDMIocrmJ+lJOBqFkmQH8hB27bFMFZy37icJ6RkYxfvOedxWh8rvbDyu88666yzzvrrZR52nVI9LcOFVlsozjPHt0gNkIoYyqkkmAbUJkgqLQDGmLjvQTRRQ2wGUQhh3O/stxvYZOxvjP2O2w4+MZxqgsyBSOwH9r5zqRdKUbo4w0ZmDSqTwe9fv+IzyEjy8ooUZWtbAHwQSoMcLEqpjOnQJ04nvE81FBYadmGeM4WSlqozlX1J9c15gxxrmByqylBaeqCxee/Gcn5yd0zCoQEVsBhohlKzgwglbVilFFSUuu47VRGxFXjsjeYYAWpqWr6m9rKoJnnHqLUx09IcCeXnHBPVGteWeP5r70KJbG1pW1jutgtoQYogJdb7WhoiMGzGOSkSe7S0ZytaI7erLBXqWshDBfqwVsr90n/T+/qss8466yyoWo5Gas4ZwJdeGTLp98n97RtY57o1qhSsTxTofee33/6BiNKuV1rTQ+knSURpGuKU5ZAX2GPMmBfAZTYzFmViUrhsG5e2xeWiFAmFvooyx6Tvnb53ai3s0kMI5I49O/pZ9NHinjbrCZDlulxro768wv3GG1BrC4JRrcwxwg69hf245h6glQDzUE1XIUP10cvH+p39sj9c/lSEvnfE/eiNxxhByM3HCQEMCqH+VFVaDXcCRJjTI3u5hEJQRSP+JXyRMpIk8iG1FXR4AHolnhcS7gtYxtfsndF35n0PJwpyO7cA47SUX5mPTuLEMaRAk+y93AtjzxeuB+7wcr1m/mcSjnN/Iprz/k8wFFHJmcOTpPSsT+sEIf+kiqy9pR0DrHg/yVLiHt9dJAdfgDgujwxCxDFRRJ28Qlqj+XEM0hfZF6qpfnyJeGZHJBOPY4QVOVEiST5crENSmbkswuLxffyDgSeg6wkAfXf5x+vxvRLwM0DxY32mevyoany+TFWPMNzHSXo8vuf7/TxL0YKc6GmT6qngOGziFsD4Pp9Rl7pVCGuZpUrM8+ryfP6fHpcKWlYOh8aidAwbnx/fA0jVlMW7LBXFe/Dxs3NzgpBnnXXWWT+nlpotQCao7cJWLVSHw3kbXzGUsl3o446bU+sW1h5jcL1eD9WaZ16iaBBTLts1GXJ6gE/uYDMW6CDAgHtuWk1o5UItG7N7gm6hGnRz3AZz7qGosMgmIi1GzWNEB4QdW2wAQjWRBKZSwejsY1IkbNc8rchqa0gt2G0H2wP0tNiTiErajkOsXzP3C5PsZXAJJuqD8BTWNkoMBEtRpETDs9/v9H5nWyqQUim1UEVBNkqr9DkIy3JjmgCVaRMpFZHIsQgng0qs5mBeKETephNqj1A25tDUQ+cx58i8rYHiDyWiLBDy4VLhnpYtxjGktXCRpY8AiRf5LF5joW1b7mPiuva0h1gD1sjq8nxcmQXqniCuv1OnnHXWWWed9V8vM2PYRGwiXjEM1Ye+PxTpoQToM+yyHy1zqP+K1FA8jMnoYeWpRbhscZ2iBTFn7zv77Stqk/32jfstFBgSiFyo9S0s4Jhwe/tKKaF0tDGwOWBOhhk+Y08x+8DGzl2hbGmZ7uAjnAqoAbSVzKmUdGZSCfVnqS16VCeBSJJYDa21mGP4Grrm4EwEe1rfjrWKtWbl80mLubmUkUIoMLLzValAgVJpGmCqamRqgVOqoFMYucgKsZeyMYO8Mx9KSC1yvCbhMFFp5bHHCjBWY1+ly8Y2bGTxdKZqBdNBsdgxSa1MB22RJa3VKWWL0zAGRT0UDg6zTiSzwG0GoCl5n3LsQ2Jdl0Vw40FWP1f1s84666yfX5HLF33XNNjahe3SApTywbe3uF7dNnyPuWuplWHGuO9cX19TDVgi43cJgFS4tC0Uf1oQYE6jL1tCJdwGFjA2hWFOqRulNcZwMCIPceUgj8noPXIMJYwVPGyNjpmzJDFIjyE+QcghomCG7ey3O9LvjCTXbNcLbduorfC23+j7DiKMOanVw+ZdQ53oImmbGs4CBaiy9g4ESDdnWMrPGetbZloLQdq+3+/0fae6U0uhtRpA67YhAkWFPgYUZXoYnZskOUkjhxpCnTikpv05TK00LUgBsYnWgujq5S16dZvsY8fGzpj74RClgBXP7M2MoEnFqkpBCbcCNwJXwdjnCGUnaf0usXfZrtcERjNb28MZIXN84rF4zD+E5T67XI1WT3+u+j+qE4T8k6oMigeLciHm5KhvvTGPKrlZV8cKqMRQy8tE0PzDlswlApORN5R8A8e7WD3+CNFldTIRlwDQlPwDIdFRYUgyHRPFjwwHENdQYSZLMYaJ8bulYlTR/ABKQDQHZM8Kx1UfsxXN7GCGLAWjezAjPst//Ez59/H3zz+v0NkwvLGj+Smiqc6I69n6I/eZYK4gYql8SFs4hykOZUJJvNeiRTKbTPOjUdGq+brm45zpM66FacaYE2wPizeRGIim9aokn0MwtFXMJpYskrxCqEOSpWEiiMf7YdhSXrxXbb47J6rMBcyeddZZZ531l+o2jG27UqTwf/4fv2KzM/pXiuRCUV/Z+1f+v//xjRcVNq3ghW3b+OXlyrZtmDv/8e//wfV65Xp9YfQZP18u7Lc7K+uv7zt9GP/z3/4XbXthTPjHf37j9rbjKFu9MseGm1BoYS1GkFsmkzk71y+Ke+Mf//gHW7mAFMYeliqXyxUR5Xa7UQ22y5VruyTgNbj7V7693ZnjhhIqx7b9DbPJt32HbtTLL/z9Gk3YpWzYcPY98iXapqhGsyJi1Aptc1RnDN2wzGPszPkNbOe6bbQt1s5u0YzoZTLtG3cfFArmjc2vNL0iUri0F2oT7vtO3+/YbBS9ADOaBG9caqW0tKNDqEv5aUKtJYDFWVEpMeTUaBLn6AwZ9HnDbHC9FHSrSBHe3iIHrIjncxRaU14uV4QCFPZ98u3rja9vN26loMVRNVRn5FiVxtzhGDf6w0bnNvuhfpS0lWNGk4UnhLy2XGffctZZZ531U8qL0jH62GlW8BEM/7BwI5SQuqxOA6BbRJCVvCxSUF/W3yWVA8qYd3watQmMge03dOwwd8btd+7fvjL6YNs2fv3b39AE6wqWaorO2++T1mrkI/YO0w6FwctWKNeNb283vn37d6ptaKnUbQMJ0JNZ2eSCqVPbhVKcVmLvoBjFQgnqfUfNqO1KqYKJ496jJ0UYaDL4CzPVoK4r9zhOlHkMcNdMATXSAI2xZhkevbFoYd9vGI1h93RdKFjfEWa4PGjkR84+MHOaXoK8M3ZsBFGYzKdGImOarUFa5vr9K2qOl7CCNSl4CYu3IC2t2UWhqDIl3CqqXlLRGSCmEEPp4CKVnIPAIPK+zIyyZhvkUp25opIZmmbEgDSkJMdyviBZJbaVKz7qrLPOOuusv153d9r1lVY2/l9/+5/ImNx++/e0Wx9c7cb97R/8x9ff0K60snEpheuXX3h5eeFyuWDm/H/+3/8XLy+v/PLrL4w+eH15Ydsa9/tbkkWV+21n74P/8//5/+D1y68Mc/6vf/+/+fr2DWmNyy+/cLPGeHPKdmVr1yTNhLjGxs4v18Yszn/+539wfX3FVdj3HSi8vL5Sa+Xr7cbmcKmNl+tLkm0m99tv7PdvjNsN+kBFaX/7H/jY2W0wcK5//zuvJchBUJku3EcHoKmg4jStoEKrcCmC+sRy/2FjYPud8ftXfAyu1wvXlyveJ2N0isDVJza+MfsdrZVhDfEX2nZFSuX6+jc2oI/O19sb3hrb1vDMcHQtlEulpetEyfxnrcpAkFq5NsFKQbWERT1gvdPvjmtnH9+YY+flsnHdwmb+7e1bKCZF8BmkJjHh179/Sbt24bZ3fvv6ld9uX9lQ6nah0ihSUCq1NYZEpMwCJVeT3hepLJWy7mFF6/MhaJJFOD4X+h/WCUL+SS09QSB3HJlLAVEthuAD5Dt2mMkGjMnc48sXw+C4POG/fCMvJp2rYUt1l9fztWU92PryaARK3J9pZFKsPwxS3h1/i3JIjj9+sR7SH6jsfvQ7e8pKfM4t/EzFt8BPCLn8AtQ+2qMunannYE6P57oe70O9aMvibQF2BBNRj0+MsIgh2QvJ8wz71Pl4DXXJqPO8eb7ussBlVthsElIsXqMxlzqWTCr2CCI+7HPX+XiEef7IdnfVs5Xsx3P9R3a3Z5111lln/Su1Fu5Q2FUVrPQA6dgotiG2oxYWYLEeNbbtlcvlSi2Ft9sN8QIzNryaygAbE0uCS/BPYk273zvIRu9wu+30brTLlbq9UMuWrPmSg620Ekmr1zE7YNQGLj2IMQwcpXgAi648Ns3MZEw97NSXYqJpgIpz9hw6elqehH28zRgAqpYA0zyzFOfMfYiioyD0XLMm7pOwOd0RnahOVJx93vn29hVDaJeNy2ujv91jra4botGoqASbcFrYx5a60TLvqng9Bpyk9eoKpn831HNLlUfarwZhMdwRVl6lhKoCFYaNQylThFBtKpSgj4X1i4VFTrizlbBkzbwNNDKkg+FZci+1HBWS0MSjiTkGmJCP8T2fTZ5/f9ZZZ5111l8qS9W/lmDfa6nsc0b2oyjqEkOjYUgpRwYgBoNQAYhGbpDWQt3Cmsts0O8TFWMOh37HbVAF+oyBnszJpShbKZEPFfJ4isDl2rgPmDapRZmDcGHAqaq0qry2LbOVwL9+xWwwBaoECDlTPVlqgI42ZxB0bbHzJ87ApcBM8rMlWVY07UVjxiEuhzOPrMzj3A/AY+1aqs61UK2B3GEht6zLnIDeREMR6TmosxluBJIgr4dKlRluDTY58qo8H5dQl7YSsRKvjwtFIstyOVEoabGbQ1/RgngAqqph5+bqaXUHHETs2BsJCV6ioZxMq1VJ1cN6vjH70FDUypoKEe+WY6azphDv6+zizzrrrLN+XmViWop4FC2C1A2dG6WFKrGOxnALkq9UtG5crq9cX15prfH27S0cdNLGs9Qadt9zRp8pynIZArjfO2XrdHdue6c7XLeN7fpCbRdEg4gjOfueY+BzYmPQfSA22QqI5VpnI7ACH0lezXTCjDNZ4phYd8LhQItSADVj9sKc0UdrrbEfMJgzVyPNqJblvjN2XCtzFMZ+Y86CzcnsPUDIEcQlsUmZhWKT/X7j7dvvuMDleuGX68bX8QY+2Oo13Bj6SOUghwKybhtSw3WKuaJKFCTyHgPTKIfQytf8/thIxHrtEsIw94n7CCvZrVBK7sdGZ4yd4oqUSpHs0wV8ToaDiTBG4A+1VqRo7BlUwnVB5Umhulbr56587YTer+THfP6c0/9TdYKQf1Kxr36Aagd4hBxBpEVWkOvSSz/dPlHzd2DTOqau68jjvngKOJVU6rllY5DM+Y+Pb+U36GLjPQCtz+xPn7Mc13XePY5PQLHPshyfb/8MRP7odstvupTyTgn5rOx7p/7j/XEOwDc392YPyfOzdZm7I67xea0LDM6cipJDWASZ4XkdAO86m6SqcgG5cd+laORtaQwlfYQy1SzyHyRB3siHiveC87gs46tCBbmyQvP4S2GKPex7lxry3e+fzvVZZ5111lk/p9ZKI8u6zAtIperG5heGxFDM+whLN1n2qM7wyHYQJDIS+gh7Vg+7TvOVQRXqCnd4e7uxdxhD2O8D0UqplXJkIqfqQEgbsJwmirPvb5jNBM6i6xpzhgLAnVbDKtXFcCbTk7Tji8AioQ4UjzyrbKpEUu9xIGTRvLh5gJBSDpvQUmoAcWmRFsDeZIwdsx2YMDsiRu9hE6vqbFthetifqgpDC1hkVIpr2MRqYQ6jz6BdRX5UZdoItePMzCUgrSGSMhToXhCS1joe+gyxsMI/bNkt8idL0VRITvbeWUBt2MGXVF3C6J05YU5lrlzN1oBHc/nYN+Ur6M+Ny58Ysnxi2XKSjc4666yzfk6VutHaFauFNURUjfxApiUAFb2WHuvAskt/7n2FWhuXbWOacb8Nhg1aCUsx6zvuhhbAYthYEK6XK9ftQimFtzlxN9qstNcXKEIfSeSZE5uDKkqrlUsrbKWxtYqh3Pade+9x+9bQVpnuvO07+/2OOWwvobwvCFo18zADvOvTmKJIGaE6eOo5RQLoDPchjnmFrmHb6lnXjskfpFySsJPdLcvinulJEJJc5wdzRual+pp7SM5UFFfnUhujT9yc3SY+HXGhqDBtMD2fl4Hl0d0H05byM6zdl5JTtQYI+W6d9sy2IhyjIPYVKqjW3MNJgKWS74c164k3w3F+/NjfZa6l1uP8PGJbTlrRWWedddZ/e3nMcKVArQWxhm1X5uUFsU6RwhiTacactq7OGJP7vqOlHP+uteII02JOLZq23glUff32jd2N4U4fnVor23ah1BIxHrLAQ8+1Msg/bpN+f0vgryOjYwRxaYmOtm2gWnCCsGNzgMyjR11YQpFyOPfYyPUuF2djOQZaEn5DUej5pEtpBxELB5uhchz3N0bvAUjuO2LGrlBLUGq3WjA8eugika2NUFpDtXDvAyFmE8PDmbBtG5UAdMWC5GweZGNVDVvzY9af+4pFJLZwhsglmpXZ6TOIVKXqAX7ebnc83YVUCq0GOdiBfd+ZHo4Nw2KJb62FXf3K/DzmMAuTINv4f64nf/TunkSss5f/UZ0g5J+WHKDRUr8B6TX8yESMralFJiO5s+bRuMSXPr7zAK7WdXjekH9QxWHg+ngjr7BVkfzjT+YH+t7y9Lg9DwCyPP+h8/0fyJFV+MkfzkeAcn0YfgQh/wgE/XidjwrL+HAM9sQzUPd8GzOPIPp3w7ulI40PluOwme0hT+cmWKJhzYpoKB3gUFBIDjDXuSBfryJCoTBLXHdaDGDDSk1SiZpAZapG4n1gJFcTSRYLSPzs8eH6GQj8/Bqsc3l+oJ111lln/ayKNRkxxiRs1YtQS+XiF6a+4MPwWdDa8T5yfVTGWHZqcLm8HASfFQ7feycGnrFhh4qKsvfJePvGnEJtL1wvoYCc/nhMZMazCLnWBetvH3fut29BghE9cgrdhH3cae3K6+svOINhO8FBVEweGQV4AKjB7TR6Hyy789i6xOjRzbHpR26mWQ4UPRqpIMSMyG2cg+l35ryjWHxl4HsoFpVaJazINJoPLaG6nCbJeizghfs+4lxoibzItGHTdJqIoWQ52KCWwz8I0NRyiKyZnyG+VAlhF3usy4d6IwDoqvVobvASlyPsfTCGM4aAtGBXloJIC6arrNFr7FOWrX0+Io5T+kmtRusjVHmu82edddZZP6m0UrZrDCVLoWyN0i5MmxnpsRR/ypidiafzzNMHt4fDQVGL3hHH1Skt7b5HZy5mvgcopSLUVvnyGtbolMa3/o0+J703zGc8JhXe3r4y9jtz72hVim5spYaV+Qh1YSkNekzPYt1SthoZkZJWb2N0ilsw+r3g0+j7YAxjOJBKA1FiKOgTplE2R1tYk8sTDTiIvQ62vnOQgoFUVuTeweK5h7qRJOvmwFMU8ciIVjfEnTkiNmWOweihBqEGqGg+gZmDzrR9HWnZOgtmEqQg70zbmdMxiVwoISxeVWqu4xrk5Gjk87KcK0YLn/cXUxhFI+uL8jRIzvNBDKFVn87BOk/pfGFmx9q+fs8P9gBnnXXWWWf9xco+Cpwxe8y7a0FpiF3Av1CKM/c7O505JlLCAejWdwD2Obi8vsSMWEBqCcc7QKTgWqNpKxVFuY/J1//8jQG065WX119o7cLqN6P/n9l7gvjEbMDcuX37nbfffwvl4tail5dYo/rYadudX//2N9yUOTXWfdEk2g5mRn2tSDKxyb73mF3HsojWEqq+JOiWdFiyp54zet7BnJ1pTu87Nu6MHjmL6jPn2obPiCyppWBYuAMYtLaFG5DnjFoFVLndd1wEbYWq8VikRHa2zSBu4TWUq6Kxl0jCtacK0tPSwZB0HAKbhk1jjti76OHkEMpRLRV3i3OkjVpjj3LfO90CNHataKvUulG3htQWThm5r1pxb8hDRPTnb8EnJaR/uOys7+oEIf+kDoWbRuj5YfkpD/b7CqoNkAgW8z2PcBzj8V0OEJIDfFoKvbzPNbhagmQ/+HfvHhsLJBPe2ZUusOqzTMbPVJCPYz5A14+A12cAIjzsWH90u3U/Afw9/JKflX7rsmcGwft/r+GoH7mIC4REJBqUx7Xiu8R50SU/F9KONX7WosGCVGdOCyDSH+ed/NAxz2PkYxXNOE6fuEfTt1izTDsYpBzjYR4fSBZNUrxNHmwLPIa74T0tFI28yU+B4O8uOeuss846679SYbcFuNPnDmg4d6hStHLRKxTDrHAVwXqPtQdh76FogJJ5jPGZXUrDKfgRChSB8yKFUkO54GmtUkuj1gtaL5RSKa2R+160xABtf7uz9zfcOqPfMAZSBLOBSxzDCZs3Y2A+GMGjQT2UH46D2mERrhrZh2vg5iq5REnkSWfztAaxC1yTqmxbQ6SipaFSmFPpfTLHxGUgKtSqNIXtUqi10Mdg9DuTMFI1g6KRbTW6oxhbewUv7H2iGozKaYKLglYi9znUDuKR30UOO6MCxrMcKh6mORLqFks2KkkQWgLTUgpIMEJ772ETNzUzpjgUrDG4DeBTpIHWUIkm6eijU8V6TI8u5se19npnnXXWWWf93OrTQAqlbmiJTGfRUAyKB5ve3Rlz0G1/UrCVYzi2ekkX6DaCXtMKKg1sp/cAzgrOGANPe+9aKltpqeovaAnXAS1x/8vVZ0kyDqegGUM0TOh9P0BSkRhvzmFhXerOpW2hijSn33eohalKLRWfhvXO6AMTCeuzXpm1hOpDNYeJHgTaJEUH+LjaV8918UHqCWmHxNCTIPaqgycx2xGwIA152tkzYw6gIvic9DkSJO3Rh4sg0+l9MGYQvspW2S4bhrPv8Tgsv0QmPnsMUKchmeEUvukV9TBVV5VwjihA09w2rL2DEw5xMVB1c9AgC7sSGVKpJJGDqZXuSolmxtz00eeL57zjAxH7rLPOOuusn19BcAXc6GMEQacQNpvbxtVfKOrMuvG6weyTkXPk+94TzINfvnyJNc+MmuAaUjIrOWxEpTZqBeuTvd+DYny5UK9XymXj8rrRti16Ry20Gmv97X6LjOj7G/32DZ87VaKXFxVaTWKue6xhNsE6cyxHpOjlF46wRFCK58x7j32N5jyZjAhRgkydi5e5U1S4bJcAAFujto2Rlub77ohPVEJNWkvhuoUjQx+dfr/hCtUrJkK7XABl7wMUtusrLoW3fQ8bXCrDSYAwdgcqQUoOKCpnDImHmARh2hYpGA5SsQv4nDHvGBMbPRSNslG1cL1cESWcIaYxdSbOoKS5bToWaNjZbo1SK1prPgZYi/wiZ+c/nt5sf/xe/PQ2Z31XJwj5p/Wk6uMZiIvfLkBPl7LuuNUPjvYEND6Osz5Q/Amc5AOK7uDvbTzhYe36QC/l0w3vZ2Dk8+8+Uyz+CL3/0fE/U+p9PMbKNHwGGBcI+WwzGvifvbtdfC6sDwY7jrUauXcgaVrUonn8xPvCZzqvW0s0TJnzaXNJ5gW3uM/IA40hpKjnh74gKGaKWQxs57SDTfr0DA5r3fUaLrDazCm6bAAeTMkFRKL63XnKJ34OKs8666yzflo9Mn3NBh1nK4tgVKnSMLlgJpG7gGL7zu12Y4zIV9q2DaSCRNaxTBCbAZJ5DLsCcwwr02rAxZlTgELYkVQuL18oW8NmqA5UwW1yv9/5+u03zDutQm3Kdr3g9zuoctkuuEPvFnbnzBVPTNJigNjEL+JUq5WW1iri4BKsxOEPexRfiv5UKgbnR8IGTmts4LUwhiFlglW0V1SciFuMcyvqqDoRuxAMyr4PLtcrVTfubzcKQnu5Mqcw7nfapjgBQgKUGorHOG4NJWRYGTz2BdihinT36MnUEVlf+XwlGhuzsG4vVY+w+jlD2WnTMgsiG70Sr72WAF9FKsgidH3YO/FfaDycd7c72ZNnnXXWWT+n5iKS+GLReyr20w5clDEG9/seyjfJ/r5EP1lKEEO1RL89LXIXayu4VOa+YzNASMkh6JgThLRZz3VChdIqWmINFy1MG/TeqaVRSmfqABfmmAydVN0iC/oAIWMYp1oY05g2adtGEQ0HhL7jVrBaoUZf6mOk644SG4MRESBuNFVsKRFEAkBbw7ck43q6KIQt2sMd6uBZCfiYTFKNUCpCZnFakHyDFxyvgyYp22coI2cqHEUUk7CfwyzsUSWsWIPsTDyfzMhyjGk9CFluMITpOz5j/2QyMK2ZEbmM22PfIBLksBgy+zHgnR6kpSISe7hjeX+4LMRT9yQ6yYMEfkhC/7jOPv6ss8466yeWhFudT2eOThdoZYv1oxbcNjzXTW3KrAO73/j29VuQT3Eu2wVNZ4HZO1OSSJNiH5MQJFE0lH11w1uju0NtUCpl2/jl17+xXTamOdPS4nxOvn79jd//8z/wvlMwLlvler1ynwMpyuXlBZHC3gdSKmTUiViPtSfX3pYkKtHCVpSCBJFoxZtJ9pMqAUqaZ0QLD6cgEbbLBlpoLdSAY0zUJ8yKUsGc4hyAYVHBlvAnZ9v3+51fvnwBLfx++4oW5bVdMCnst9/ZakOBbhZOUblOqkhkMXoSeXNRXBPx1cc7oJaWBYv0k64DmDF7EMKsVrZto9WwXp1jYCOIXKoVxIMEJkpxoLawj90iV3OJqeL8PL2vnohH8c8/IRQ/qyH/iev/71wnCPknJfJ4Q6k+/uiKBjPgsGJNhV6aeuZtky2Y9QAsU7mYm/p34Nk70NNzX5wbfnnkOT7fx1JUwL8Ouj9brz4rEo/nywM4/AhePp7j93apP8qZNLNDQv6wVn2vpFwqyVbKkY24WKKSKsgFJMZwMJmlUh/nRPO8iqdCJD6AMTmGqyogJVkk7tiw+MAa43jV1v1OcerCepP2WFShVKZ0RBQdGtY+6/ESdndAWvPEB39Je1jQ8LYmGqq0DedInVjDzKdTHsDo2b6cddZZZ/2MqhpKPRvJirSOtEZziVymsmFujOl0u0PmEN32ye12o5TCdv3CnvkR+zD2cef19QtFCrf7PQLTRZmmbNsVuQibF6Zr2LzqhlOQslHrxtv+xn7vvFwbKsKwyW2/0RrU7UKt0LbCl/KCqLK1yLsaffL2dkNwbA7mdFQNldiUSymhsseppdKa4qOjaDIgI19ieqgslGBwmgcoWmvYle77jshAR2RWmIWKdLd7KDf3O9/uN1pVfnl5QSQYobVsMTSdAdDuu7P7oLYrW30NDo8r7iXASJ9MJ3Ig1NkakJkNVTKzySN7ynJAGBkTSflxj1wsPJQTc+A+Q4VSFS0e+wAPNuzt3hERthaMSuDYk4VlnuJU3CNrY6vB4FxKyKWYlEP4+AAo/1k1xEcb/bPOOuuss/5avbxco7fsg1Yr+7c3RDMPaGuYD3x28LAmbwkU4o7PuIwWgzEVy5zksCb3RZItD7VE2xrzVpEGWloM5IaFFVspXL58QWrBpdC2yrCwJ61tC0LsnGH3Pu+oTLbLlbY1vr19w0W4bi+hPFTFEMYYiAjTDGxyuW5sKvTbG/3eMTOu2wteClMlrFjFqaphX5o2ZHMMTANeG25H5pPm8zSzBCk5pCcFTaC2htoy1ZDiHmSe+VA+2hhgoTitELMTCQWIL1vUsYM7bSu01gDj7e0rqFKrItpoVWk1ZwYjFtw5JyqFWqCKUrcL+xjs9sb1S6XWwsCQnGW6hZ3btMeUseRc57Bic4tc7vy3PRODP8xvyFNSnuYpsw/MjFprzHJyf8D78dBZZ5111ll/oaoqrTamD+7fdvbRaRrC91oqsl0wC8eefeUdmnHbd75++0ophV9+/ZVb32m1Mt34/dtXXl5fuby88u3tDZszek6E7fqCIjRVpihWCqVtAViWClq53d7Y952XlxeKBtHpdr9R3Xh9vXJtlS9frlwNSqtcXq60tnHfO79/vR1z89EHRYm5sIBZPdacoo2tFawPtGzR64pnv5pZ1R77kDljAapbw4Fvb2+UUhizU0dlTqOPzpyDUpX97cZvv/1OU+VvX37NGUAQtPucMY934e12h1p4+eULrb2GXa1WqJVJAJgyg1ykXbjWghTJXOoAfW1mxIs8evmZsCkmqAcZ2vBQsY6BAJfWWEnfPiZT4Nvbt4MwXUqsvVIqOp3WgoTttYTgh7STXb368Y4KnCDES0+9PELQrX5cR+zNRyHRWe/qBCH/pD5TDT6rCRdwmNcmhlEJHvmyHn0eSj0Pl3yJFx+b0qXEW+rHp8dh/+Ib+aOy8TMA8UegIbxXJn6W6/ijf39m4bouf7ZhfT6Xzxaxx7/5/vEtWfZSPqyMy1ILSHl/f0+e0mYW/tWqIA8GhmgI2cNG5WmYaBxZj/F4PTO9VvZTMENI8HMCw4yZtzeb691w/HfhiY/3TZ4TW++Vj+Dy+wbno1r1rLPOOuusv1Z6kH8I0ooF83C6IvZYD9wliC4SA8ovX4SiDcdo9YJIQaTSmoRd+AA08g4RPWw8tUTugFNRK9G4aEPLxpxC36F3Z0yjz1QUqmbYfaxFQcLxsJSTUOe7GapwuWzs9xkWo77ITmntyrKODyBw5vcxLFmTJRosc8YwGjVXMEFLCbvYbEKWAHGZDhgPBwFEwt5EwyXgfh/BTvWwYQ1PgRo6FBfcFbcA9nCl1A2RkupLY5qFOkEh7ynAw6XIcNLKXMEksqFs0IrgUmKtz2ZC3CMfOl97JPcjOPt+Z9suh6rEhtH7pLUrTgUtGBWn4F6+ey89Uqk/7rd+rI4MFYl8N5Q81/qzzjrrrJ9TMewKBV4tQVwRAeag3x+RGoUknu47ttaxGur+1dMJFgo5HMSZ2etHL6+hqBOlXi9Yr4gWwjNBYiBWC6Vdub5eAKHPTtkuzL0jpVGb44wcYoFL2p0bTBNqbdTaGGPE48ueOWI8wFtFHWxOBKVILC21KJOIHzF31I2qgrYWQ1TPPnbZKOTA05Ps7BaWrWuNT0puWqbNUBiUGmoUD5VCKQWbitjMXjeHc2Zhn+pBwpXlCuQwRr4eItQqYdc6Qu2gCQ5HDI4eA9o5JmJCKUEeKyIwJ1UiA1TcMEs16RyYwZxOTwUmImnLHiu1iyCyhjc13zty7EkWeXoRon3tIeOC79ZvMyec2891/ayzzjrrZ5ceTVT2yW6MviN1udeFKxFSoMTn91YKvwDaKm5O3S6xXpRK2YAxGWZo9qCRyxyE1LJd0mmvUlQxLWirlC2sRxnGPidjwpiOS1h7X65XNIlNlmtJKY0iBaYHwGWw1Uaflm5/cqy7qg+iDNPC+t2N2Tt9zLgfjec5baYjQzTqKkppNcC5WnPdEspTxBwYoxPxK0nKDTK0BRBr2ZNnJy8lLFnjFZB38FzdtrA51RLzBo81vyxwzyJje+Usx4MP8M8wbAQ4WWYKfzRlOqmELBLODkVygp57pr7vtG0LhWdtmMW+om1XvFS8hTuC65o7yDvBz1rb81+H28PCCH5U77GS7y87632dIOSf1YfN5FIlLkWiHn8QMUg7MgV9gY7POt73iLhqbHIXCKnH3Tzs4QK0Wg/l+zfyAkF/9CfxEeT7DJj8CPR9/PlH9/2jYzwDms8WrZ/ai7KscN4DkBCMwmcF5ZJll1LyHMViUGvkbElpxzHMLTMjo9ma2ThJWfdBDoXT2ia6DpLammG4ycSYYfsiKYUXQglLDmCRCLy3BSbHwfBpx+tyqFyPcxkflEdmRAKRfjRi/v25NYvG6FRCnnXWWWf9lJpz0kfHZsd80GfHbp3NC+4NrWH/2dTpY2JzUkvh5foaWYy56R3DqEXZWmPqBJT7PujDMIdSNNeugpYNkYbPwtSCalh8mhXMQxlZaoCXxmTbXkAm7jtjvjHuHRHYSuRKuSjDJrFZLpk/1XAXep+IaAwuW4tMqzlWSiTuUEqAjUjFRWNf4mk3k82BquY6qwlChiVLKSsvUZEZjZyWRq0bmg2WdQ4gVyTATMpGtwpeKdoCiNUGXrleQlEyHOboMGec4zly7jsRrRRJ+7Yc/BHjYYY5sw+2zHRaIHOmVOE+gZlLde7pcC7bhgP3250qwfYspaXapFCouFfco9n6WQzHxz7OTsLRWWedddZPrlYLWy1stdGKhgJuTtyDjGPuQVyVcM6Z02MYBpAkYC01OCu6HIgIJR+xVqsUvJSIZ6lg+8BrKBW7RYagtI3LyxVpG/X6irvz9nWE+l+d0pQilSk7s3d8htPR3jvWO6UUWrtQa6W/9bA5r4VaK6XE4LGUdP+Zk1qW5VmsfwroE/lV3KlacnSbvafLYUWOO8xlQwo4TIvBqGgMLpyIGJGq1FaRAwDNvUUpuD8s4t2JvMsxUPHD3UcPsnW6D2Qe5/RQU06c0jJHu7QYLE8P+3rPnCkVxDzyr7xTt3BKMgtrNikVZlKD54TecwApSUpaDlQF1Sdy0JpREMNZGxZK2VUJXip5vllvjzXzONUQZ5111ln/XTX6oO/3yAm0yZidr986l61irVFVKKUhm9B7z7688uWXX2mXaxBtiDzGqsrWXg5nvLd9p89JATat1FLwotTtGuTdkr18LegWzgemhdIuuExcC9Od7eUFfGL7G/P2xtvtFvP/Ek5KpYemz7JbLUk4cin0MYBCrY3r5RKAX+9htWpB8C21BUG4aK77NaxVD9KwHgBkWNTGILuUQtVwPfIS67u5UVqllgZpYX/v45h5SInnqq3hbYNS0LqhtSGl4lp5+dJiZiDgozNHxzD20dPpT0FqkLoSCFm521iqHm3CcKYWTJNglHsYN0NyNu4zSGHgtNows3Cr0hlEshoEcGrBa43XLNvs2Ps8vZn+i+33mtm7OaIZU3fO7H9YJwj5J6Ua7LgjC+FJgXd85UbdXVM5p0eW4EPt+D0zrhRlKR8PsJCHQi6yGR7qOXiyY5X4Q5XFXEggP/6OPI//yEp8BiE/fq36TnX4iTryuZ4BznX9jyDjQ9XJp797VkC+O++SSoW0igWCzfF8bp7uv5RkO2amxfQJFuoQmT2wxWw6ZH3Q4SyH7SPH4Xit+O5c2AzAcDp4mQ/WjWcOlXvkgJkh5sy09Ym3ghxsVZtPCkd7hO4uO9b40IpzoAm0mhmu+cH26atx1llnnXXWv1zmYUHmEymCujJ9MCboFCqhnncXVNOuZCZRSAu1aJJkEogrOYTLjXoAbEGUKaUh1BS+CyaRhxBKQGUQ608tL5Sy4bZHFpQW2nZlThjzDQfmtAStCqUEmSZcGJSqNYZ/lllFDoUAFVUllBuZ06QUamuMaYzMZGqlUItkxtRS8YWliw+jFMEsrM6DR+MMiyGjeaEQtq9ixrA9mKfEgE6lobqBNiaCeQGt0YgQ6kfVUEnK4SiRmVTmGMaUiZB5Ub5Gq56qSvJxrLUylK0q4YuAhrV6MFrDwkdDkMnra2PfZ1jKmUWGZVnnFVYuplkMXWt5b47+X16bk5i0gM3P9otnnXXWWWf916qVwmVrVAS1yRw74+0NV8cknG+mT4YbbkG+qVsFK8weRNai4VwAjlpmCebntkqllA2pnrZjMHWPIZumbXcp6MsrsxX6NJrB5XKhjM797Yah1NaI1j33BTJZmdI2J6UpbbtQitLahqpE5lItLFcEKS0AzKVGlJAJ2OjxGARMQr3Y+x0ZHZNUd2gAfy7K8IPbE8oDBE/7VzKPStLOLOwW0nLUVnRIkH1rrczZA8tTxVVjaMiaGfoal1BEKdvLQXqKvndS60ZRYWuX2EtpjbV4OqoVqTErKJRUh9xxGUBkZXXAJFQbX/gSeY+LJE2qL55AWFHJ6BSNnt9iH6Wu8XuPvSKs87OI1I+5yZpPPMfdnHXWWWed9fPL5mTfd7CJKGl/uqMjfpbMHkQCLJt+Z3pYhZdWcz47Y9EroRhcTnpu4dBTa6W2jdJa9LWiiFZcYwYda5vSDUCo1xc0Myrn2EMJ+fKFoeBjBLhmHpEgBxCn2f1Krsc1VI0LB6CEcrFoZCLm/EGkcL1eGHNgOCJhO9o2ELFHfyrh2DiHg8SsvPeZucrOsPBtsFQ51lrD5jRn6YuYXGqjtQu6VWbVIGCl9elyfyq1QdFwIszMyhDazENRKWZJ+Ek1lqbYZs3hIZr6dKpaRLFwRFJEk1yVuAgIr1++0Ptg9A4EllBLfQrMiyOvWYE+E4ofssd/uR4k4vXATyXkH9UJQv5JLVALUgWZm9bPlJDTMu9x2WrmuzAww0fo6aLWPav/JFl4C3iEBxj12MyWh2pQ5FDyeQJnH3l2H4G6j/e37uPHz/2P/3B+pKT8kYry4/ePAOT728n6/wGmFviBJe0yPc3HoxrXxY8mQ7XEZTZjODwGjLxcPa1rAmiUI9MxgVIhPL6JyyPT0nNAGsNRmzMYHmbH7VZFhgbRjHoMQg9V5PHcn85hrCbv3mcikjla53DyrLPOOutnltkEIXOgnDkhHVByoxwb9G2reA0yTVigOKUo18slfw4LVPNoFbZ2CeuUWtJCJViOc8ZQD5KcY2lVLmHFetz3BDNhmh8klm27gjSKEnaxPWzSQuUYtqYqJYR+ZplHDNYnvXRqLaHut/mOJIQvJmCoOmKFSss58jwk4ab3tG+VJFNJrM2x/CU9x0N9oVRwTZVBNFTiBcs8RxLYcw8THSws4VyDkRq/i9VS0nrFLdwOjHIQh0LJEbmWQtrClVi3zWcoI9Km53K94HREJkGqjCZuHwNQWqs5FM2srQy192xapjljOqU82JN/aV3+RClx5kicddZZZ/2cUgFscL+nUqLvjNFBHFOYbnQbTDOKhIUYUxn3HTTcBmbv2R8aVuzdsWO9yP4/sxK1beEMUBslWfi6XbmNDkXZh1E2obYr+x4WbFLSbnQ6PgGN4WHbNsYY1Fq5bJfIaVTBbEZesaRXj3DYqLlN5kwmvoTS3mfApiaOjYHPydg7XlMlUSomCTSmUIHVYSeRWFNxGUpIjQFiug0YBDE3b2NmtFICAFyziFKwWcIxYo7Yj/CYk9RaaTE55d535rTHPko0iGPT0lY9SEsxMoVC7G8iG8rwXXAbTEkQUgoNYasbWku4JWSP727JZXLEkmxOZGQfJOvMxFTJPQ2LtLx6czuUDyqSs4OYYyTP+KyzzjrrrJ9caz6rbrRaqNIY4tkHhoI/FIOhOoT3vbwW5fp6Bcjsw1gAtQiXS0SRtJJk4rRdn5YpJrIEQGHP7lLAoCaYOF0YFqtDuBlslNdX1MLq1PaJDWMyaZft4U5ESXKtH8CkmdH3nVKDFB1ZyAniiTxmzUksQtaK9FjDlrugeQCOWoIoHb38jLUqhVFoSYVixIZJ9vKl1gBgUUQjEi3M6nM/tBwIRZJ0lHaqhwNkPK9pFqumREak52sZ44TlwpRzBTNsAX0I123D5whSdToQRk53HG/btgCLNcQ8rHm8B5F4uDHcKe9AyP+6dvHAQdY54Ozl/6hOEPJPatlkaezH05Xjg5qQJaLL0PoEGkU9B1zzPRC4Bn25eT2ApQflMI+W6sa8+vFhslSNGpvgY3j3g7+az1SP8D1o+MzUewYW/2i4dkiPP6gd/5nb/MjG9Xh8C6hbbMK44rvrHeGvZlA8B5Jx4opoWMpINoXxqXjYrHqfuIKVnL+ah4XMUiemBWtIqtfrlh+qmWOxcjLMQv7/nQo0aBYBnoqzrN+EtG05zoHwsGN95EM+nyP5ANqeddZZZ53118o8MhWkBItetQRrP3MK/WmN3/d5WIALFfcZzPyioXpMC5NalVoKfZ8HOKgSyOKwtZ7EYmUPCwNKaUxzfDglfN9o2lC95HU9w+kHbpNSC2PvYRHboNUA+EQ0MinxYGcaTIIp6qqxFBmZaVxinZIayj5tsck3EvQDmEuXCO70GVYqWjTyrdLOLbwKhCqCOml/vsGyopNCqB1BPG1ZPXKVVSuadrA2STAxiEI1/omKhVohX5EgJVnuDxL9Jax0XMKGjbTai9YoGhUtJYFMD9aoT8Y09mFAqEWLrBywzNQ61ukFmgYYGnu1dIOISTSf9RxrL/e8P3q358nGaDlZnI3LWWedddbPKqf3na//+Ac2OsWdqmn3lZasC0Aq1VAD75PeZ1iSXTa8dzDDMNRm2rKGe4ADHqyhGKAZqBa6D1Qzc0qU7hMplcv1miBbDAGnJ4wmoRJEw+5cSvT5W23hBqRCaRuisNXKGD1BsLAsRZU5B6R7wBwT91AtSNHY70xjilJaC9eGVC0WWWCmgDslyTfRjcPKT0ZKrHHBwI7HKRp98MxzsEg76VOgBAioS5FSKrP3jDyZ4J5E61j3S6mYTfre6RaDWQhiEtNRmRQJBYrPcsxDoCA+QZxaS667RtGYtziT/faVsk2UC1o0laYWOwT3AzB101B8JnF8ZWIKZP7mw4nqACO9HAQtNIazKjHkDdvY4+141llnnXXWT6ppk953CkK9ZHRIrkMze0ZPss7eB6WUjNYKgKptW9qZOqVWzCx62VTkt22j1QpEBEgfsWcwInvZJX2D3ENF6dBt2Y0LWhqtbqgtl0IFG0HE8Zn5xEZTpW0bqGIu0dai1KoHkWUMQ2T1mhKuBMjhUqAqaEkngQQkNam6h5U80PdQNzZWNJpGL65QvKIoRSsmEyNcgSSt5zUzGkGQskHRdEeoSMnzmuRhEUELNBGwgTJi2UwLWEmwsiTx2bMfVhQthVoNnbmnWL7uCkVquFjMweyDfYbN/pDwOQzSUzhDSQlrWfGwXJ/rKyPYntWXkD1+YjLvlmvxNbJ5BzTmLiF+t7CJp57+rO/rBCH/pDatMXxLNqEg1FIPcDLeb2nsqQEtIU4Emqfd57JiSebEeqObLWXbsmaVB8i41BHEH0FmtSYbIQLogRy6rXzJ2OSTm+LPbFWfQcN/RgX5I+XdHynyPgM9P2ZFfrSBfX6sx+8TXF1ZkM/sBEmGhjjMPmK4mkNgMhsj7FQKpsIcg+6DkQsEDn4D1EEXC9NQN/p+49BWluB0KMBcLIvJGCO8whfougaIa7jr/lC2iqaSJprX9fzm03kGQtUyg6ESi0h6fLcYIpuEFew4P8/OOuuss35K+eyLxsje4zPaLCj9xQuXuoELNnZKGcx9QClcrq+oRth5H0bvO7VC22Kz6whlC3sSJOxOpgmi0ZxYN1xmWqkKzmDfb6iUaHxEKCIoyvRCLa9IuaSFTGeq8X///u+IKJcmNIGKo+rMvuc6pBQpeI2houXiMYdFE1EvzBmb+hgqBvO/1EbZKgWN41ln37+GnZtPmgZgKlpw0wyXL/zb9RJ7FhPGdPo+2ftEJOxjagk3h5Jszb0X3AXTwpRgVLqHugKP5blppUp4G8x0IBBiQBsKDDvcD3L3T9Vo+CjGdMV9hPWsBPknlKWRveU4DENMYAZjUiyzoikpBZEj41kAyYXYk7UZdy3H/X/6PkvwksX+TFKTHLcJ5wayQVyuCmedddZZZ/21ets7043ffv8d5s6v12v0cBmz0VRptUVukG5Mh36/M6bB1iJD2T2UbSPWLNHo5dIXAJuGjT2iOwi7U0kwEJlIdcac1PJClQDIxgzruPZyAasJ9AlbacwN5r3jE259D9WhFL6NcPQRSeDQl2tSuAioFr59+8r9fqOopqownAB6H2F1XgpjOPf7oF4sshOlYDOdH1Ame6o20l6dzHj2WHO1FIQg75qH3ZyZpbIxsqinCBctiDjb1mDCPvZYN7XEYBOhFg2CFYa6M3tn5hoYeZcV08LwdH3YNjogtVHbCyQA6nPg6sjWUJWYyyih2kzuV0OpCkoSh8VRicyuOSM/Soqkm5JhFuqWmURhlQSH06XJJexZYwsVxwtieOSIuodzgmg57OjC8Ojn5UqfddZZZ/1vXdPSltzZ9x13Yx8TU7gUoW4vKULpUJ3hk6qF17/9gqgwxo4j7P3OFOHl5foguLrRtrBLve87hqBbZSxnvOmIhE04CN06BIQWhF6DYkKRC60Jur1g/c7sd6Z13sZ/wCa0UqEpVoWiyrzPg/ATzn0BgNoI4GxOi4VfCz3d8tI5nCpKTeBUc449+87bt6/0+40xdlotkZeoFZsSpOCifLm8AOEoOPKcjSQmSxKKSdDSVdgtbNYLlao19galxp6CAFJF4vGjDeu3wEc8LOg1FFtLfgPmyDCKCaqNbTOwgY2RpKWJSLgh1KYUbUwc95mKU8VLTaeGypBDrhpsaXGs+EH+cnnq5SEJwXCgjR9KRDMne+VrP0DHg1CcX8PPXv5HdYKQf1LiMbSyD6DZQzW4RM7rjzNvlEDkkh0v5j6sGdUjrPRTwE9i47ze/CJrM708jz9UfkqpZKDrJ2rDP6uPGZDPtqkfAc3v1IgfLns+Vz+67DMg8rjs87/747rPSgJLexQZ49GMuR5AcZVslpJtEXaqllY3KU6UYIhASrVJIJnl7bzYDH7cp6UC8xmEfDqb+IxB4iF7z4Zqnc/nBiR+fqgrg08R9jBzjlh0bBImN+cH2llnnXXWz6kk+5iHxWeG02sO/FS2WKsP1YNTSgu7T1Vg8Hb/Rs/AdqmhlNRacRsHi26x7H0MhPow7Xr8J6zb18qXm1sDLuUS6stqdKswd8w7rX0JmlIRZIF4qSKYqfp3PPGx2OSPvufwVBljsnItoiQVoEF6aRr6R80WJrmkHMYNqQKUtFll+pHPDIKVyfTIx0JK2MOQ+yTSc5ZQR8blsW6bPdb/lSsVP1XMRqgV3B/nauUwqQSZxx+OB0FYKnGOjv3asnkNzM89SEvOPOzwSQKRamZtoWkzk/nOYV7wz++vSAUsa81//1rjAXKufcTJnjzrrLPO+jnVe4/1GKMWpWoQjVoLBYFPw/vAxqRrD/LQyk6eglrD+h5racl+PnvxkmAklspDi1wp8cwNLsTg01ZmkmTWlB/DxSD0BOVVgeI5ALBwa4jFVzN3UTJqBIZNisClXVAxfA5u337n9hZDxnq9osAYO6UIJbOcXFKp0QeMQTWjJOk56iHZM/M4ti8LNzse1+ES5aH4OByacrVVn9zvHZkTFRizM8xoGoRhnTP7dg8yNRL53F4OgraXQtkac2YOtQRg6krkQargcwKd5Z4g/rCMd1m50vm8cv+iSg5sAzB2MvLFHJl2gIlGkJWW5d1yL4ot0JrZxH/iPsMGHotjR6aYJYn5ae6xrn/WWWedddZfrvj4DqTJLLx5SMLMUvjhQt87ohKko5qqPoHb7Y37vjPmpLTCtm0hEkr1ndnEhYzgMlxrklwyk3BtDZIuux6TJNG3tQutCkWcWTIbeSrt9QXcKFqRWll2r7UGadYhlJYSPa11Z7f9cMjrYwQZJgm+QmAG5ka3yUW3B5C5FKBaopd9oBEHaGeWNqhaMLVcNlfUXM4MsjdGy9Evh/p/KSIDMF2j8WfsRHxjzs40kDmRUtLJIJZSzX3ERNKCNbM7a30Iv2aCsBZZk+YeFrIrciYGGce8IiLsCuSeIuzW0xkRf6zlx3vpx2vz9Pnu3wuXGGO8ByGfT8BZ39UJQv6T9QzofcxXPLIb9QFCxhs+PrTiby4Ha7kJ9sPL5D3w93zM5/uF+PBY9h/Ck5rxaYiZR/iXAcgY/Nk74PGjbeqzmvEjCPnPsvk+AyDfA3GPxudz9oF8d4wjqyGl7GaGpeJCc/EpWsJa2yL30fLDaz1nzdcKebRg6zPpeJVWbtfKjHw+F/7+FYhhrj0emz3O0ZzzUMO+Oyc5BF/HMxsRRDxjUZ3pZe4fPvzOOuuss876r1VYfYQCwSTtymyGJWcq7fC1tpM2JMvaK1QOYwx679H0lGWlDUUei1hJEHOMtc5YWnWtwZs8MoaQzK4AccdKw1wzPH3ZghmX9gvmI2xWZm74xai14Q4jFzGRcE+YszPnpGkoI8Yw2hbAZbgPhF3NtFAdqgq1SobQV5psFFeGjWiwcs1SDevyYUaTmmoSkCIU11D9SQx7JfMqkAQw1/+ehnvPisIFBKoKNsOeJs5NNmS6WJZx3Vh7Y0AqM4bApRRU4nV0c0a/B5MyTXpUCkUiBzT6B8M9bdzxtNmNPE9JBcujwfzn9j5r/hmENUkwdx3jkUN9NixnnXXWWT+3xn1njFsoGmrYfv765VdsDO5vt7BxK4XL9sJbH9TlpNMn2MRtBOtfyKHgApCcma4FoQpM8moCkyVBxzlngmotbNaIjCopkYEoKuz7zHUhHZVSwVfqjPmBagzhghmba4ajRWjXCz47t/0WKhCLGYNPY8rAgVbAcz11KXRzzAZjdObozBmDysO43CVJsWnzhqWKPxQHHM5FCah5zg6UXGsnWDz3SqyVo4eSYWsNLUZpLRSHZgeBOtSGywpNU3VZiUDLtHfTeqgxl7OCiSC5F1GcOTouTvpbxDkz8JqcrNjEHcSz2NNYDF3njL5+RmYoGurH5W6UG0Dgfe8fXK9URZjhqdC0mfchugysTvjxrLPOOusnVa2F1iKF0V0wC1CoHLNzwJNgrBqWoyXILu4xD973O/f7Pdfu6OW3VoNYY75ot0zApyUP6YENRAyYPtYTD8e+Iycx7jQ4uG5QK87kcv2FOXs6fRYCWzNaqTgZKZIW7Y6ES8Mw2mVLd59J3bYH0Jeg6kzBjKpQS/TRrW3gE6sxE4AkSGNpi2rsY9DaJW5DQR2KDMwX0FkQWeCjIIV0algW5Q9Hw0WpfdfLizFtMOZApsW5zti1YxaQA3hLMraI5vUq1hX3nf1+gznjtUDCGUGUmlbvy11IM2al1hIKyVpwrTFDeCYofagf9fdmD9xCVXOOIE9rvx9A5LHgn/VdnSDkP1EfAcgDyX8G0g51QF5X5ciEXL7NmrO3GCzy7vrP9/N87HegYNGnMHS++3s5/vD18QHwZ9aoz/f7oz+2Z5XiR8XiH6kgPzvOx/P28bkfoN0TyPfxus/Zlc+1QokPINLsACI/Xu8ZIFyXPYDj7wgR33FDv39c+aGzrrTYlObkahIWu+vr6fmsn40nmxbnYPG4WCo/OLInzzrrrLPO+gmVbHspJQZWPvHdIgfQJmPuYIJi1IsiGhv6OXN4N0eo1SPIkDH2HOwVXi4btVZUFDScv2vRBM3CbiWaoFDwBUAnSGYHhx2YMq2irkGut1i/lMKXTRizg02OtAg3bBKMe0m6v0oyKS2UhJYZyxL7GZvJ3te4f5u5Rm5rEJjrM4/h5AJh55zMAUOcqi0BWiVjlcEj4yEAQs3AeFgB9wuABE11YmYjP4F0q4lJk7cciCb5CwEPe9UVND9znd0snlY0P5nRHIkhybS0BCkTaL3EgNSnIR5ZGKW0YICmOlOAWgpQGD9Yij/dD8nao8VIFwQ89wWsPcapizjrrLPO+tk1Rkf7jprFemwDoTH7nfvtK+Pe8drCdtQ9VIsqNI2+sOa6tOyzg3UflmhujokiGTQkIqgLrhrfUz1YPIkume1k7lSpqDa0Kuw91jTJbKYy8KYYHXFDSkFqi7XLQ1WoRahboVwat693fv/2jf52YyuFqoqNCepcr9fMQiaGYpr25BpxIWN2ZHRcLZyfdBFuJHK1PNa1SMCCR0BNZl49DdzC7YdYM80pGspTt1AnHqqDEopFrISVGpG1iAhW4mGaEv8GSm2hyiwNLZFxWUtNENJiuDjt2AsJGooFn+DGzEcex/OwnXWJPVUChA4UB7UAWzGgVjKxM1wZnucEzpH3nBx0hls8ryQtz7Sw5VDHnKv8WWedddbPrlD5AZQQbcz43J5jwrwdPWUrFVWnSER6jdmTjBNRW6rC6J2bO70oX14uFGlICZBTFxmFBxBVUwWICOaKH24/Hq57YljR3CsIs1S8NhDY6pW5d6yPJKvGmjqS6Bu4n4OG85+bBWjZobZFVtIk54YbgGkQbMaYtK3FCUpcMMbUGSemSRCyCdMYahQpERQpQdU1jUzrwxEplZqk4jLMinJOkGBiCHbk6OXDJNJXpOJB8rUnQlf4/DmxWodlLj4pok/qTU+TCkerIcVRhypQNWb+2xyMEV8iSm0XyrYhpeSeglSwBq4ylxPRh/qnSMZm+ZonbrFukrP8s35cJwj5ZyXOEq2pLnBxSZfXe80RT8UE5MBuAWsPtBxIhh88XLl+/A79CCKWpZqQUCB8Nq6SvP9nEPK5/ugP6hlc/ZjR+PEx/ZE96x/VjwDI58v+zNb1R0Dtsj2Z05KFwGPxIZQTYZXzNLxcr6AFm/S4zB8Nxsfn/qwS9afGazUccd8TxsyB78OS9WM25vFdAMbT+cwPL4scr+N/i4F61llnnXXWX65pkfVTXDFmgJCZA2Q+8CFUKUgNi5FS4nN7JAjZM6NAxKk12JPTJve904pEHoPC3gdzGiINlciVrkUoVRAK61N9AZLBClybj7BvDUV92MAWMWpV1Dtmd0QixUmY9Dli6JWObmNEblNVQRuMuaM42/YSSsI+06okgcKVlZRDM7fJ3gdv9zt93KmtUuWhUrAZ+3DN5msajElkTEgJ4uehIH1Yv6iSdqiPDMT4/uTEAMfrMdJyZZGt/InIM9NqfYzJtIQqJfI54j5y4+VKJE8IoiXvM1QL0y1UC2Om4rW8J0ctNUVuECRZsM/1w72Q827vyKF+XJb9caxl0Sp/sDc866yzzjrrn6+H8tyx0RkmfPXB3DuCsW0Fd+P29juUxrQZucMJ5gkzLT9T47CIMvha/IDFnY11UNywIcegTxHEBa2xZiKgJQeXLse+QDRIMkZBXR/rhCraKqIFc6ekmqK0AAsH5D4iLMgRSxBOqKVhxzwi1rEiClUxAfNJH3dcKpSa844UVBzrVjyOyG1e9/NolMU4zofkQE78ET3yWLsLroJIRYVYdz3WVUllCoucJRJWba0hUrFpSGlQalxeW85nAsxEw5LWZ2RSPmzTEzuUx8DQxjzs4lRLDFFzwKyqOWeRY2A750RziCqpNEGeBo1L+AHxfjCOvGrVIGZZ7qnOUJWzzjrrrJ9Xh5McSWa1ic0Rdp594KbUWmm1sm1KqTHzHrPT+07vnd47ItBao9YAMnu/s1UJ9T4BWs45Y00i+t4Fkolmf7lIwAie6kV3kKJYTZedmkCoV6oUut+Zvod4JWO59n0HLB0VLYhPIxSYVYU5OqLKy+WVViu3e09BjSRZeqn8cg2zyb7f+fbtG32/cbnUQ1wlxCh7ejgEmhYss5JNw842FJBExAmPHl3FWC12zE5yJ5JqycOq1o05nT533J1SlFIffXbAG0lunuOx5tZCRLro4VyAlNgH5LzcBQYBdMbMP46hWoPzpAk2WhKixHDRtXH5FC/5UT9fM+sZiPeXLcva70lG8sntz4o6Qch/og5AUTls2I7f5X9XxlAAkg9e+/fHegLTnpj+n6khn/99qCuf3uIHYPd8d/mh95mq8rk+AmEff/5ot/oj4G/9/rPj/eFz/3D7jyrLPwM1P1N5ejYxeFjV2ZyYCKYxULW8zPPDIqTT74+nsp57nGWJA7875wuI9LRyPZSVae9qMyey83MQcoG9z89V5KH1OJSVHgmQS4HhLO/qs30566yzzvoZtWzUDUsr1sG0yOENFbtQ60aRFomLuRdY9txCqAtFnLZV6lahh+2Y5+VgjH6n70apTm0lBIoq1BxAok8sOo3xnhP2o5Y5jWuxFxWKRgajD2cORyTygkUiP8EJO7E5BvfR6Xvn719+oRTh1u9UEUoL67TpRsBxaTOGYu7c+6C5IDLZx6D3QR89VJ1aKLWEgkMUN03Qr2Ae6kpHEW2xZhKWsGWNLSUs2BZ5K9bIaB6BQyHKQS5KlSKkTV3JoZ8R+cnOtB7qBoumbQ19sbg/PMDIWi8UJV4bn/F6mzO8x2ByTmqJvZ6mTd6YxnQQGZg45hpN0IetymckrdWorTzvZc8eypCw6l0byzXQ/Nzv4ayzzjrrrH+1VhaSTzkswGw643ZD3NhKxR320Xm9bEwL0FFKgIk+eqr1Vh+2erb87olIWeQSuStKYfaOe0G3li5GSWxOIcFByvGICkGUiUUGsQnTJeWTlsBbTbAsciPdJq6Eak+Vy/UFzZyl0ffcA0xutxt1a3javmsJypLngNPdsNExXREy5QFArpgScdTSNQiJvMtcs8Uj8zHWXA8lIOAi0YsvBx8RpCiucXxEwop1xtDVakUsFCNI2Khru1AvV6YLKhaZWVpivyGpUlRFiuN0zJYqAWIesrKtD9wwZwIz1vSVRw1Hfx99eqg01mB0uRgpyzr/qda6L0noTrCzlBx4WkSq+Mr34hxOnnXWWWf9rFq9+eqtzCZ9vyNorgUF9StSg/xyzJDtMceecyAiXC4XLpeNfd+Z3cJRINgojH1nH5OGULWiOU9e4SJOYogSoKOnRavhSQSK2W6svUE+inDigpnAnDFryL5X0gbdDfrojH3w5eULtQjj3rGptFYyNuQePeRyQLLoW/feMVXwwW3fud/v7PsNLVeaFrTWozdHNPYZpWKqAbCpxnnTAB81icJHn2rjaF6fe1tVyTiUp17eRtjAekSdlBKEnvegXjhMeQKOMVtItyRLlwQXtLU4/5ZOgWNgNsAGve/MMaAG3lJU2PfO1IeIy12hCFLad7TfzzCRdVkt5eG6uPZuC8tYOI2koOhc6X9YJwj5J3VYK+d7KFRosTn93tI07Fge79snehzrzfsMQiY77/CnfrD/H/f/IZvxYB48WYkmK/85UD4Ih5+r9sYY7+7v2a70M+S/lHI8/ufrzhlNxVIwrOu01o7ncOQn8vkf9Lq/NXDU/MCL7/PdcZ8fz8dzH/Yv78HMdf+32+2dRevjd3w4Bytn6vkxJgCbz2sdU1XpEnL99VIvpuQcwcL0McDnd/c783V9Pq8HK2NJwv3xvvBsWnkCTc8666yzzvrr1VpsPuccoJYZCZFRIFLSXi0aBwTGdHyEwkDUUOD6suVaTlikiNNa2JDu+w2hhDoAx20w+k6tgslk9xsx1iqMcefSXsBL5ig2hoU2UT1AM7OBz4EMp4hEptX9hsigVcA7FGe7NFDYb2/c9xtzDvaeofQtVIg2e2RNFmXMyXap9J5MxT5RUZqG7ZmMWAe1VmrbKG2jj8nondqucVzZMEtrFQkrmjlC2WgYU4yiNRSZmdGx1m5YhK/YR2mChEHcIdUTnrZmqbZI69fI7Fq2LZmldWgOeFKtZLOYg9VwpYjHKQJqBW0SzVZSj8LOpVBLAMEzyU2iaX3ziRJy7WOeK5imufcgrN4WOxOCvSmx8ANO1bNxOeuss876GTXNeLm8gEB/+50xJ7f7N7Ykm7ztbwHslZZ9vh+W3W6daRGJ4Ul7EdUjb9iS+BJEk8KcRu+ddrkwLbITr+1CKRtaGyMVgS3XGcvcKtsHLkLZIuOpj47bRMsCv8hhRDks2kwEcYtcyJdrkJq0sn/9yn2/h8WaRjbWPgdaGq4lrMZrYy6CDNl/zh52ajZRQvmx1iY3i7V2Rp612Yx10maoD3MOonjamqcL0ejHvACc2hrby5Xb2xuj98jG3DY0yTij99h7Zc6j1oZeLux9pGKxBPFIhOGTkr07NvHesd6xMcDmoeYsD8P6tKDNvtxCQTOnUVKtUqof5zoyLiv4ytaKXCvJOcQiiC8yunlaz6eyJLIuw9JWS6EWycEszHkSis8666yzfkZtlwsQQCIYY+yUIrS6oa6hICS9fmZnjIdARcxoqpTX1yDC2qDf41O9tYJP4+3rNxxh9nCt2+935uK6aMEm6dBTGLNzub6mOtDxEiQU1ZxPmzH7jlsPpV8Xxr7z9vUrapNWCuqG+ODluiEKX9++cnv7imX+YU3XABFjjA61oCVm521r7MOY5vTRKe5cXl5Q3djvN6QqjQvtsrFt2cvbZLtcKduGbhdcIvtSagOcYUGOAkfFUSpVNNfY9gTsPdCIwESC7Lti1ooIW862BWAaUpSSFrg+wxKXGXnc5oKVcJtyWf18OkRKo2gIiGQ6s01sdnz/RpGNWSsisVbv+55qVRgYNgdIRaUFiUu+7+VrrbGXecIxPmIQLHdF1TTPDIpRvC++d6Q861EnCPkn9VFtF+XfXSe+58/y9DPJtl9SbFlvz0DHA+R8AILPx/v4GI57X8q8449Ajvv97HYfMxGfL3++3+c/so8/f1Qe/kgd+fH+Pg7jPqocP5M/f35uvz8nH8HNopGXqSIP5eFH8PHpw7EsADJkLZAqw7huBHeqgB4f9O+f5wH5Jlh5qC3T2k1WKNbye1mPF0kr7FRmxL0GN2axR01wBS/xwfY4P8mwOeuss8466y/XmAMd4LIsT2LTLBqJDrgH+15yLWF9j8/9ANHCwtU9BoSlaLIiPdQIaMYGJBlo9rA6sZJrkgRo5g5MVqi9u0V+pAomjvtgzj3sVzFaa5jvYeHig+KCe4cxmdWS4W+0GjY0WuK5xZoTCopSggmqHjqBaaRmQA93B/LxhLVYpdSwfzNbmesBThZt0TdYEGdCyZnWLkuVCIcMREWiSbPUBuSvVTnW06Npc0slqj89ogAacSOTKygCuhiZNiObMnM8JUSe8TMr62ry3l9gNVJBOrPkfR77sASkY63+5/SKn+7p4od4vvJQaDxd6Z869llnnXXWWX9WhdI2xI2535jjnkK5AJHMNPu3id3eUC1sGsM/CEeB0pYCTw4wS1XxJKQccSAJRI0Z+YlaAkgrdQMp2HS0KK3WyDkyY/aOZn7TBHTbAtYSzxzotCs1KDXiWZZqI4g7GllY1Rhrv6GFy+sXWtVjaKoioVogelwkKEKymktR1I2C09TRXDvdPFSXc1DMEZuxrq1l252xd4bNddhjXdP8T/TSFTxs4RzSrSiVh6XEZcMxqbHHEFA0FIul5rkPC1upscsyW4TfEcSq0WFEvmZSfMJ1IlUpc04EqKJMlcy5jsdqntlYXoDYo5jEuSxJmlrvATPJPMgnXaxklneek2j1H4Txw971v/OtftZZZ531v1n1vkcfawM9cnslPrdzMB8tnIdznee8d+X95vx6pqpNBUqp4fJjoYA0J3vCmDPbmMw+KDqQKvgEUYd0KRCJWe7hYieVELwM5tixsaPmFGo4EcweDkxuuE/GuFNX9IpNNlUoSjuIsDMtz1PMMy2jXGDmlALJDGoCgHVARdFaHiRsMyIJRahbo7RKhyenPoL7m8/+8AdUQNP2fF1/rXAORTnUgukB+CBsLd3o6v9NIO1zV7+/rmVj4sxQjpJ7ixJ5jssu3nxi6UiI2XEcd8m9y5rdB/krHCvSvbD+i728+4q0jMvX19oELAHTE1Zy1vd1gpB/Ug/gDT6ifOuyBzgVYNbj+t/nKT6OEQBk0Wfrj8/v++nOnuTKzxaof/bY31/hO3Xl07E/A/d+dMwF7D1nSX52fz86zsf6LH/ys+N+BDKP55UfypSSftLxZcli+Pi8VJ5UoseDgDEGq6mQEh9UKuW7x8O75/oRpM7BcvpNSw5j43ylP3Z+qkdWhmUwbg6ydVnTCaXlo1t2P6dR21lnnXXWT6lpwYYLVZ0lAClJaomGJXj3Bi5p3Rn5B8FoTxXjDIOVWoTaKkVCMdn3HZsjBpDksNKToJLH9NyMxzCwHZwVS/Y+rOahY3RcOtFiGFM6U3YKodCDDmkvWrRSivNSCqotgTjF7iNzmIwa3ReaA8BpaW8qK1yetbM+MhJLbcy5bOliLSylUDVYgyv7CcCf1kZ/XvdVEA9epYmBPGDAWgv7vkezErLGbFzijETQPbnUhsW64JRUq7JAPotzFANWOYaWaxzo/rB5Neu4jwQzQeyh0Cxa8/E9u2A8VJAf91B/VNmXHPu2sLR5dtCA533lWWedddZZf61efvmF68sFasHmjtuIoZ9I0kCJNano0yCuxXAuESr3sOFaTHh3RxH2GeutauH1ywug7H1yn4PpoRIIuy9ldEPasicvFGAOY45Owen9TrdBSXv1OUPVsLi8x5q07MrdcB/03pljx3sPK9RaKGzUomgBd+Nla6HQKxVXZ/oMl1dvaY2+hrQWtqu2FA+hLpm9M/vOvneKaAxGU/EXXnGRrWVzUFRDzaFK3S6IQGuVWiv76Iw5cRWohdxMhUUrQpWNUlus+w6lNbRuoXgke3DVAHdFsCnYiOcT63lHbPB6uQIz1/kcsgr49AQTlVpL0Jcchofaw+bASwGNLGtzCxVjrcc+KWes+NMy7Tnjid/7oXhZtXIvzzrrrLPO+rk15qDWSlk4kdkhTAnCq1AQ1DMTOGfEyLIFDYtwt1Dw1xIgnQDz3tnvO8OcUhtaND7jZ1ht+8weNi1QY4EY0cd7wU1iHdG0K58DsYHMwcp/xAfiM61NC/hk3G9MheKV4lBqRWvYp4pWGCsL8zG7QIXplu4DOYfO9WgmQbjUQpHClg4DK2dRNFz/tD318oQbkT1FwgApzkl7di2xh3In/W0RD5Jz9Nf53AFsrgjtBPEs/y/YHHF+zFCHQjwfGx0QDAsBUakxe0niuFmoQUfvzP0OfQd7uC+4OzJnRp+AS0lw0nGdiLR8Tv98L89xJjjIWMe/nxr9s5P/cZ0g5J9UKenpfygC3qv1Eos6gMeHJasEG+LgvB04+ZElUETy+OWwJPsMiFug4VzKOV/MgXUdPUAxJAeaT7dbtZQF67jr+5+Bjc8A3o/+MH8EQH5WfwRSflRNfvb18bbrMX18vh+P9fxzNE7vwVP3x0fIUkN6nu/n532cR1+DWcXdHhar+XIXjeZt3X4pMp8fz/rdEkaGlR2QQ0kzYBALy/E4TxDyrLPOOutnVWk184kGfTzW/ZKTR001IhpTMcvmopRGqWGzOS3ArVJjsLXyI23GRrdoZiem8jHC7OUYXClkLtKIcHcP5uJ0x0ySlTkpOoG0JlmA5OwoRqk5lJxGLU4pFg0XocaQfAwMsL3Txx204hYDvzEnY1gSdEoSZNKGjXAF0FoQCfXnsebmvsOJ/YiKPcBTjbV1kX0OTUACmA9iVVikvtvV81AbChaK1EN1sPZAaY1LjP8i7yrvzyKrweaMbC0JhWc8HQvLu9kZIwa4QihMi2pmcsV+bs47kbXpoV6VgmoMLp9bjB8RpFatxitsYKMZVX90L0/+CnEuzjrrrLPO+sv1+svfaTWGc5eX1yCojB33wZjhYLNtlcvLlev2yvX6wpyTf/z2G+7O6+trqvrX2niYezIN+j55uW78+uvfAeE/f//K7Q1KK7TLFa0Nk4I5bHWLweAM5aXPgdqgFGFkLMe0UOTNaWythmNP7h+ChAy1hk3oHEafxtg7PgbX2th+qUzr9PsdxKithXMCwsAJLWSQXqs76hO32JOoRaaj9bB+B2f0zr7fGf2O3XbqVqkEuNj7Tu+d6/WCMTDbI5eRimiLaBVJwLKWAEk9VSYzkill7SU8M7hLizkeRO50KamMCKKRZCRzzCjDlcHFcHnY5JeWAO/soRiRUFWqxSC6FAHJLC0R7m9vYTln0dNLDj1ZRKg1Isi9memjX1/+DGsJN0vy03MEjANpKXfWWWedddZPrEV0IVT7EX0VhOKCRqwH4aCjGv32mBGpVYoe8/gxOu5GKYW21Yj+GIUuSRZO5wFbtnSr53MPtx/xJL1ETqIxcUo464xwWVKMTYg8QjTEMjIoDEQs1mF3JgHUVHIesQg46crQbTDGpPed2nviXuGS0PsIUlURzDwIxkn2LbXSWkFLgT4yt7E89fT+yGzWWO9KiTVwKS+RFR+mMSeQWAnFEoBbSkYP5wQ0VKAP96ecA+S83VKVuI6vBE4iqkESmpH56CJIM5RK8aAmzTHotxv3+52+32B/i9tKoWgAxK6KOtAaXmvsRdpGSeXoMxP4z3r551J/OBss9SMkKelUQv5hnSDkn9YCvh7o/2eWoe8Ukwcgua7/uB75pxcgleYHXzne8D8CCdcbe/3BytMxP769nwGu5/oIJn52nc/u+/n2z9mGn4GTH/9wD5DtByrHzx5bXPA9CPkMMn7MW/p4+3V/z4zV90rIGFA+q1jXZ0etlTFiEXnkWLwHYJe8/LhMBfWwvAt7ncKGPGzh3B/KzHzsz6+3mmMeA894wwhhIJCWeAt4dOXsYM4666yzfk4d62XOj1ZmYNHY9LuGXalgaG2ICT4ym0CW5fh4GkqGxec0CztXyKZk4EzmFNwLpoM5Sw7a8s7dCOa+5LhNmMTArgqoTFQHKoYWp48JPqDMuHZR8ElRqDWahjFi3RkTvAhaNswmY06k70ADF0ppjDEZY9Ba2p75w8YcNNUAizAFNdWd7uGM0G0EQ1Fr2NIRyhJxeZeVMN1QE2wGyHqoC5NVOcZj/ZZsbFQkdKGyjGAezUvYy0XDqaoBImZz13fDfMQgdAYI2Zoe7FGzeM5jdMT3yGyCzHIAEPb7PYaH6ohs1G2j1kofcuxV4LFH+KPm5d3vF3csG7ODgMQ652edddZZZ/3V0tJi7dCCto3SGu1ywaekNegCyir1ckFKDfKK+dHXQwCQjwGkgBZUC6rRE97vO+bCfR8YsUbWyzUyk6SGei8Vf7oIPnOGhTqRgSTijH3SrWMO91ujlAtagmRkaqgZ050QbgpFCl4qIkpxoSrIkHR6UGqrQW7CME/yU5Jt8FAduGRWsXv0pKNHnzonY+z0seN9R+dADWSWUBX0nbnfka3SStiujz4RgpA1xkBLjX53Ttwzi1sFsfpQmgI2BZEtspqTlOQiDEsr9mx/XZySyhObM6zYbIRSogrFld73UEaODnjOW6BKiRHoDBWpmT8ARZUYTpYCReMxioIs29YEFHNvYMe6/SCkx37mCYgkt3dLCXku72edddZZP7VUl91mrNlFBZnpOIhCGNNFn18LMuTdLDnmxUssEn2pmeFzPubuOcuNqA+H4lipjJJxKDIzQsvAHmtu2KpbOh4twqwf9qL7HEh2/JpAp4qxFWUrhVaEMY29D3xOCqBti94+CUJ6vzNLRbXis9Nnp5YLqiWiyfBjPQoQssVzFWjbFspKCeWizEGplaJphS7pvpDz6ex4g/TMZORMJNr4uDxN6/O1SSPYJRryFSuX8/Q5k5AVpCSyhy/pFKmlct93bn2PTEw31J22CW6xxvf9zv32FpmXY6cVpZbl/hiv8du3N2gdLhubvHC5Ktu2cc9X/F/q5YFnrvAxmV/gY/58gpA/rhOE/JN6B8Q9DYny3foBWMskp/UhuC5n2a1xAJDKA6g8lI5zfqr0e653wa+pLFib97zB0TD9GRj4Zyj/ZwDkUmwC7wDJHx3zyGZ8+oN+Bjk/u83KvHz6k35nIfujDwdbH2pxkIMxUkrByeD6dTkwfWbXsD6gQopekrEy5wM8hAiRX4vczEXpoWrRGPCqRkitFzaVtAWIYe4YYeO37/vjea/n4/4YRuYHcICbuRQmA/cZDD/rrLPOOuuvlRMW3IpTSnyphhW3pDW2AGjEBhRdt/IckkW+g9mIdWRG1tGYPXMTJ+6TnnZgcwoiNfap4kDB081gU4lhKI8N/fo5VoeRX5Fj6Dpw24Gej0WjiVHQYpF15WGR1s2YIrRtEpnvE6WjOsALKhNzZZpREx1zDzsWTSKMUFENpigopUTo++iODceZbJct1sEZTU/RAClX7oMTQ8hD5emxdmf3EmAfT3lbmWshGo4Ui9gT148hovs43AICiMzhbCmYK93AxoS5lCxbvFYeUK+npes6LCKZNxFSiz56vFbiYUEnTquFMSz3EE+DxuO98USQXTtAeWgm4vLMvHq3kYtr20k2Ouuss876OaWhfJOtoXJhjg0dG4y0ZiM+j8c05gz1e++DUmIw16dTaqjgXTSSkUTQUvF9R1Tpo/Pv//EPEMVEKHXj8nKlbZe0GptJJOWI5QinhMkcO7e3rwEaFjDx2EOoMna4XIy2XdHmYHrYhVsRyCxLt2NCwb2PVFeErbxZ2JoKdigRXNJ2/Vh6ci3zUEKS+UpzDGbfcetgEx87ro4XpWphKwXdLtjsYfNWlD4nFKitctt3isL0IEU50GqhlBaWaZYJ27kxkOVUpA8Qci2Pa31VjuX7sNWLfKxUQapifRw5n5DKDgqtVmw6+5z0MZkiYcvbagCnrVK2liyzsL0TeeQ/HtTvRQ7HgYmQoKw/nJKOecaTQuKss84666yfW4pGRqNEzEgpJUk9MYuNTEYBjCotciLdH6080EfPrGUwm8weedC+z7DpttgbmHvmPc+c5YPVkWuGUGsJcqyCRCgkWKxB6sT6aiN7UkdtIN4RTzvS/GpFqCoUYDej7/dQ689BvYYKcnSj7J257fF0Ss09zKD6JSxiJftsePTXRw9baLVBDfv5MSc6J23b0BK2rBE1UxCzQ+Qox/EsbevzhbBQm0bcTCpM0zFwRalI9vzqQdrGZ5CxbEYEmofSURGKKFur2Bx0hz7CPnaKo1uQmMQCnLWRmdBzUKUiZZGTA4e5399gNgrQ2kYVYauVvY8gBT8t0U6+L9614v745p9M4xcIsTCKjwKrs97VCUL+SRXxI4PoQPFTgh08+5UtCEeW0CE/XuoGze+hjDuUkOWRM/hs2Tln2JzVWt8BgSV5Ei5xyPVhZxrgWVitLcD0e7XgAjyf7+tZabj+/ZxR+Qz2uXvmJb4/JjxAwufn8t629gEe/ogV8O6+4Bgqkpv/499ONFua14+TznB7+gB53DbntxQnWS6RySU1rWaJhaMk28IVVIzCxMfTh7YoPj0VFLGwVBEoHIAk+XhEnKYPgNndkTJCZSIPdSZj4ChVBuRg2XxiAq4TU8vBcry262U/66yzzjrrJ5TP2AwzUYwxv4UVWdkoWrDqWI/MgvnW6aOz329oKziV+/5Gn5193vn7r3/jet24f3tDcfYxIqNgzgdLU6FtV0qLzKFbd3oq/365XPBptO0FtU7vdzSHoAvsut3uuO/88ssVtzt9/y2amaoMi+xIUeU+Yj2fAl4BE+63G31Oatl4uV7ZSkNL2KWqCnPEnuG+77R2oUpljliHVCviYDvYdNSFORehqCFSQQqjR6PnIRVgjNjT1GR0FhHcB9OMfUaSoySlMNSNznSjuCZZS5JANLhsyiTs6+YMdaP5pLVCURB1jDsihVo3hhtDB1ZCTepiuDq3/jWaQRFqMWYNRcroxhTF9p1hxmUDULRFVmZR47IJW3MKna0V+uiYOaKxd4hsjZw1i4MLM9q0sHJ1PwhTQKhIRQ5nhbVtur/fvp111llnnfVfrDF2ZNsoUpgutJcN9ysya2QujhfEQ1E4ZliXmTllu1JK9PB1u+BaGAC5LpsqtTZEC3sf7HMEi79tfPnyitaa/b5SS3iIluyv9/sbY79h486+f+Pt9jVINQKaVmkiwhhvaIFaHfUNMWP2HVE59g4ujkkAm8Mdm8J0wS1VlxbQndSGSlibiSq1bex9YkVoJdyZVMDniP2KTazvjPsbOLQaPa+Kobl3CiBxUrcrfQwolcvrxsT5vXf08gJauU2LtfmysYvE+SiKWionpqEVWqnhB5BELZMPBOzp+HQoJRSfxLo7zLExGGlr0VLZIu3CmIM+Yh92swEIHbiZM8WxUiiauY9aKR6ZkYdxXAKea94QHKaYh8gx63B8xhRymcgf4KMFOGoe/1GBh8/SWWedddZZf6XcHOuRqzhx+u0NmTNsT2vDPCxKRxf6vTD6zrzfqS0swsOOu2Oz829/+zvXtvH199/xaez3nd4HNi2VjjFPbi8vXLQisrPvk4mhpdJ4Yd6Mdr0itbB3Q6UwJmgJ17vb77/BmPyPX1+x+xv7b/9g3ncEoe9KSQDu9maUokwBrYJO+Pb1d+TtK6VtvL58odWCjBEuD0nYdXdu/cbL6ytuLSbMAvXlSk3lv0uBVhm5xkkJFwKn4sMQG4GfCux9MOZkq5VWG8V5EJSiAc9RxZr/R997SLAUbBrYpGBgIc7pPYBfm4YitFpj1m0TLUorilu8rkWcieFjMmbn2xxUDdByq4K3QrFK97DC3ccdd2PbLjhCI/YSxYxqEx0T9k6TQp9BWtJSgiDGyv0GKU+Dd58Rnbbm+AoQ7hICB8bgOQvo50r/wzpByP9CfQ6iPSkjCHXdgX7JAo4SLJTcxWYtsHCpBp+BuocK89j7HiyE9xC8HP+Vh57uT+uPJMd/Zpn63WP8wW0+u+5HFeRHleRnj/M7y9ZPfv84Pg8gVctxnVDZpyWqJ1MDCLpK/qTRMJrVx306kCyOOGgMEUXCZg4tcczFRPX3AO/z67osYs3s+DluIxy5ElgOMdcHIQ/G5UmqOOuss876KbXsUGwMfHZGv/GPr79xuTS+vLzS6sY+Jve3O+phszLcaOUSDHuNpuJ6vUZzkSqHnpmLc4RViJBh8HVju4Rty613vr7tOMrlcmVrL4y+wxRKe6UY3PY3am24rczGjmDMMZlzZ+w7inHrg9FvXFqj1crL9YXSamz6gVoLrTXmjLyMukk0X0iq/g08GYvp1FDT3k001KGaoe5IZh/Hs0oFQKWPGYoSMcwktt7yWAtJMf+BqeIZLL+IXY5jSapa+6alf4hhpM1sXMaeeVVGrdewYUNiiKowbTAd3NPeRQwnBstjRC6jCmGTO3uoUeYAStyfONJzv6U1B43x+NwGpj0t1nPvsTQaQTN9DCrXmr72POv5PLZ2AUzasmeP442TPXnWWWed9VNqjMGYhSJhW15rQ65XZA68BuF07J3eO/RHf7ZtWyrqjWGGlLBjXYzQULMrWpWmJVSJokipUOJ7vVy4XF9BoM9HL9jn4Lff/4H1O8IIe7ZaQgmogtZKqRs3mTlYNNyWmtLBNWJF8jHF8Eyp6tiaQYg+etWlMMwm0izcCFRL7E1agHC1VGqJnnYMx01RtuybJ21rbKUEiEhYpcZw0XELqzttNc/55HoJkHbaBNIaj9gfSM5F1DOzyyX2E76o39kPs9wG0kWKyHXEwEfkYDMMcj12VUoL0JU8SvcgE9VyGOWH40Weu1LChnURsVUUy0gUWQToPyUB+6HyWC5HS23z4WpnnXXWWWf9pFIUbDL3ALX67Y3f/vPfeblc+fLlC1u7sved29uNmjmG5oawMXqn1HDOa5crGlJIVODeO33v4WaXQpxaK61VrltFMO7fvvLb7RtSlNcvX7i8vHLfd6wULtsWgOB+p7aGz0mfk77vyDT2+51xvzP3HZ+T2z2ynC+1UWvl9fWVUi7p1iPU1riQ+5FUKG6l4Mvy1AyCi4heAAEAAElEQVSX6IU9hTC6NSocLkFlzaNnoRDRL2hBpOKl0D2IPpKKQxCwJ/zC16w6cQ1grbOCHdwblcfv0s+c1e9HFEo4Nc0RKtNr25IYXo7bWh/Rd4+O2Aw1pkVf3+fAcoYzx8B6DyLS2HGvcd855jcjH2s8L7EgUHnauc9Uebp5Oi/5Ie567wz54Y13PMfMisbzvZX7rLOX/2GdIORfqO/wMlkDuqfv8A6M+ixnEdITOUHIpZ5bIFocBDIO6XizyxPu+e5rXZ9/Hohcj3P9+0cZj59d//H0v7/+Z4Dqx/v50fU+go5HfuLTefl4Lp8f98ccyaXkXPaqcTw7VKBLJRrHfwCQYafnMHNASHpa59dSX6oK2MrNfICaf5SL+XiMeoCQ8T2CdI9PciS7n/QaP+uss8466y9XFUFxxujM+cYYd7ZW8T64c0OvEoo8oLXYpDeNRkBVjmFkrZEhtZsjopkHZKGILwWbg4LTCsicmDj9fmd/u4FWtqJcaoExUYGXSwvrV09bGSKbyZJOP/tO1cqlXdiqcn/7yn2fuBa0Cm7G7AGSmcdw77JtkdVoD0eEUhS3XA+lpH15AnE5+lPksExdJCfgMZxLQDEcAnJw+ORq8G4vA5CDxLBWtWMv5Z5MzWcQz5e1S6gkPddDFUVqfeQum4X1nMbB5ujxmM1iwEvY4i43BBag6oYyQ+V4iaxHVlaHFmx6skoTUlyZIWnbtzIvHDsmlCIcm6+H5hE+35E9WKMiHJZ68k/t3s4666yzzvqzClJKowhpIx4WXtOCCCNV0GnM+87t9g1EuF6vQShRxdKaNNazAM0Osq8WtFRKKWjO2tAEwGqlblcuL6+MadznLTKqimJivN2+4WPndatoUS6Xlmsw1NrYLle0jsOe21I9IAmUmQMi4VQgsVfYqmIyUBFc5/sVSGKYcAzXLNZrX8z9g5yr2X7G+qxFmTYZfUck8phUy9HDqhbmMPoc8Ri8RW9rHs9HNB2Dlv26pBWdZP6VUvK72dOgM9UEsPYCj/GKe+xt3AyZHkNF95yFxPeCpJpBngaisIanhXSRqoVSa2RaH0BkIZwM/rU6iMvr/fEpcfyss84666yfVQUQ8wT13pj3O00L929v+Jj8+jeJ7OMx2C6vsUar0C5BukFjLaq10HvHx0A8cyPdaarMUiI6zaFKeIxPH9y+fePb19/QrbHVRv270hkU4NK2cERwobSaCsCJEpEnt29vFA970OumfBu/8+3+O+pCrY05jX3vzIOIE8BmcYecNZgHGDnJXj5V/dTPYJ6Hag9yeZKHgGn95yGQOS5MdwaSJJSCn0V0giAGLeENQWpGHF3Hs9ggLcLumg9IreAcc3jJyzGnz3ta1gcILDPckALoW5bzYWvPDEv26/USRDMEJVwlzJwxPfdAD+dJGYNhj8m6k1E8cOjJDijiw1x//QyLqPShb18kpLM+rROE/NNaG/LHkOgZe5McogVS/nz5ewDyY320OX1+E3+0Q80rxTfe72PFl790/vvpcodPN70lWYCfKi5Zd/ceSPxMMfkR8Puo+vuj8/Aj5eXz9RdY+FE1+SPQ9Pn3z8ep+SG8QN5QL6znsm6nzFSMFCmh7ygVkAi2nyMs+syzUSNzG5XyZLnqZoiFfZwbjEMZGXkY8fmbeg/zYJ/kp1zRxnQLpieGZ4JyzJwlc0jCzuess84666y/XoKhGHPf6f0NGGybYuJgAx8DUKoQDD0RilbcJ32fSI1gc9y53+8owta2HMAJpQpehdmT1NL3zKeqvDTFXhsu8fPY31AIoNInrSi/frlmjpKFG5gJw4399kZrGhZipTBLZasXtrLxennlft/ps1NKQ0tkIGlVWrswh3F/u+EmbK8vkUKZdua1VpyCWdiKhADAQZNJKLG2LRakPzqYx95F9J0q8FibbekCV4MSzcCxlid4V/UB+EE0MCZLBVHQ3PSITyAIRPhDRRgZFf1QjvjMzIkcsBYVVBYbFKwJrVS6RRaoewyaS8nV2GTNQ8PyxybOCKalrMaJA5BepE8S4H6814SFTz73NJLnyMzw3PsV+QjcnnXWWWed9V8pS6W7SUZv1FgXB2GnrQLaGpcrfLu/LeI/k/idJCNo5ScuxrvjeKnIdqFmxlBkDIYlq7aK18ZAuLtznxMvStOnHjrXzSJO00KtJUZntbLVgmllHzN72HAD8DHR0iI/qehBjAVYsz4nQmLkiSy0cpjdJTOroWyahKeJTWcccw8wHxER4gPzIPF2m2Bhq14lAmvCCCidAdQom6Olcrm0nI8oZGzMGgKOGVZtqoZr2NPH9ULpKQLiergMMENdsBQhIjE0ldxsBE038r8KwhwDcZJgNqk1LFdjdhsgZBXFakVaRWrkP5bSEtTNQe2/OEMUWfuXWPPXgOYcRZ511lln/feUTEPmZLzduX/7BqPzcmn0JBxFdnNhk4LNieKUEm5B++2OVOVyvWBzcru9IeZsLYCsIkLRQtPKkH5Yv9LC4rup8tK2ILG4sH8L+3IxhxFxJK/Xl7TpjPVsE6VP4+3bG5dc86uGE8G2XWit8eXlC/f9zv2+U1qjtiA7t1Z53S6MaXy93TAX/nZ5idn5mHgT2vaCl3IQYXPVTNJRgHHrOySpWJ+AwQOLSOeeY9Yde5+FIoqs+OYDgYi+1tOWfK3PllnOCy8oSvUAH12CAFWKRJ/tjo/OcA+V5Jj47MzemX3ErJ0gGlEc0UJB0tXBYQt3g7A+j/xpM8eZCwfNvOuO99hjiZYDe3E4FJ4Ld3nXsx9P6wEyPvCXzPT873iT//9ZnSDkf6F+aBmaG9bVpKwgc+cpyHxd98Mb9COQt4Z58vzhgB+ZAuuP4iMguZSQ9gfv/ufjPj+fj2Do8+MCDrXgAvM+npMf2Y9+BsT+mTrwR8Djx/v8DCz9+PV8TpfSUVUjiN7lGP5JdhtxneBPqDru5cHIfH4c+SI8A8b29HifbW8+KjqDwZnnW+K+pBDsUg92DCmtt2Rw+gwGzFJ6nHXWWWed9RdrzlC5zwActRhFhJfrhVJqfIKbUy6V2+0eQ7ESQzJzaE+KARXBhtF9R3ymsm0CTikJYPlM+8/IiHjZKoaiPuj3bwiFUipTbrhUVDfEBzYnY7+Bd6o402cwKymMfVAo/Nvf/43L1lA3Oh2fMSRVjT2IzUktoR50mzHM9KTFLICuRo6UWwCucliwGgsXEyWVgbl2ZW6xCGn5lpZpydoys8h6JCxzlnqxSB5jDe3yJRFfxK/lfgAFjbwNUaQUfMwk+wy2rSJSwI0+dg7ymI8AIa1nJlOAjFUCAF1gJKJBDtpnDmZDoVEyI6vvqZ5MS9dpI/Z0rhRt0fjx2Ds9D0bhsTcMlWgS2t61NByA66PVOUeWZ5111lk/o8w6fYR1uKtTxaE0tOVQcMbasL1WXuev0TOWIJe4Kq1u2H4PVaQIwxZvXnAteCmQwKZoWKNJraGG1MpuznRBamQzMQcuwuV6hamIjyTJDoo4WhpMY9w7lC0JsGSupISjgXsMRkullMhBcndmN2Yq9UN0+NxXG04OFzMe5rptabUea/1zH19qiT7UBSlCuzTqbOGOMI3dLUmyjtZKrRulbUBhZTO7FKS0yGhUpdTCxMJlIB0OAkSM9U/1McOQ7I/J6wUAO2JpLTX2JysKJS3WJNm7PsLa3eaMoaXHUPI4H1pQLWhrSG1YDl4X23yt1P9qLcs60bB9c8tZwKmIOOuss876bynb93A32MPetOFU2Xh5/SWjrwIUfLlsfP36duQf40E6LtKyTw6UaoxYN5ixCsQaEgpIE8PnZCR4WUV43S64CmrG2+9fw960FGptsDWkVtyMvt+5v90iwxHB54h1UZT7vaNa+D/+5//ikuTmfY+cShHDNAjBY5+0DXBn7p2uNVR9rR399lYKXiMm5UEEItalNbdO1wWyhyfdDeQJg3jXy+fcOiVCB7FWc52Mvvihglp9sB/4hICUmGxLCQ2OhiLRxqRetjznRu89Im/ckDGxfWfuOzZngHwqVC1UoqfXnFdMV0YNENFyZlBrAZQ+34JkTM5AxoQykK0+sIHEZyITOkVdOQbBH+DjZ7jEe4zgPTh51vd1gpA/rfxQHi7w8fjZH8kGz1/veANPQNkf17MZ2vPd+9PxPKTEPzjUH9mZfvz5uRlR1fiQ+wNF448AxT+6nz+6zUfF6Ge3WZctkBEeQN8zCLme+zPA6/4AO5fKMc/Scb04jiJeDkvY9Zp+Btp+fC5mj+s87jfpI4RnNq5IDalJWW+kg2cbqLZoskLPT7SzzjrrrJ9SzsgfJu6DosIvry/UWtj3ztvvXym18csvf2P2PYzK5IlEQqjh8FBAdtsZewefvLxoMO1s0mqAZ5hTqoYNHEapDZOwRFUsLFdHw2vD8VDTu2Oz0/udps52KYhsDJvB2nz7xqUq//Nv/8b1svH27RuX7Yoj7H0y7zuugkilS0g8VPQgFQlAqh6rKFMf5KdpScqxVC0mALlAyEWxOpalp7XtmT1o7ogRek71vGU9rnfYN6xBaToViITdi0soQETDeq5WxySGkrGuRpM4RgeCUaliuHeYoYpc9mtFo/mMfIxoXBzhbQ+lyZwDd6W1mm58HgpQwLEgCVm8lujaj6xGK5QPj4ZFIhdKDu7k+sXR1cQe47Fn+VGDc9ZZZ5111r9eM/OUMcMLmDhVI7NRysa0Pay7Rbi+viIiDJuMaYh7rAVmUJTpzlyfzyJBGJUSar4Slp5SS9iF14aUiolA1VA2WkfcqK3x5ZdfsP3GuH3D9ht7AmpbU1yd3gejCTNJwEVLWqItEFJptYWiI1X6QVQNJx9XT9VfrPfTw0pVNMlUEhlR74jHKqgG0KnH+hjrXNk26iDzHx/xJCIa6/K2sb1cGRIqUifOsdZGU4JRVIPkZAmaWjoAmYdSE0/lRQKBiCISihLzsKXHs3fWkmQke5CqPGBLhHCKqPVwVhpjhCUeayhbAow8hrExcAylxx+Zov/4N+/mAMhjc3Su6WedddZZ/y3lfSJMGGGxWVrh1y9f2Grjdrvx2z9+p26N//H3/8Eod6QoTRWTmOkWiegVw9nqxn06+30Hm7xuW+QNmkdmco3IrsiOBK1QaktVocAM+9Bxb4zrCAHRGGgpzL2zv93YFC6tItuGW5Bfv339xqVU/v6//s7rywu//fYPXq4vuMPeO9MsiLRe6Pc70xcUGHPv4gQpx8P10FXpEoTltaZZ9qQq8uR58P9j773jLUuu+t5vVe1w4s2p03TPTI80MxJCAkQytgyIJJGFyUiA9eBjsAE9gwk2lkHwDAiDBHoIMM8EI2EQ0RYmGBDY2AjJAhSs0cSe0N03pxN3qqr3x9rnhg6TRzMa1Xc+PffevffZu3Y4e1XVWuu31MFcMwfz7ofpTkfn3Q8DhxC51Ukg8eHQ//CeuEnwTe0DqTewVmy+NhFxvVerDpOkJv0156yoUFkJxPZ1VqTScq+M1hjvMTjpGyHqBpUrcB6q0kqXI4plLC8h19I38U6cnFbkdicl1ibJRJNSmAdBxUySyo6ECk8yIa9Iigo8OoIT8hEQLz3HA9TrL+ZBdADUs20TjeTjDqlrOuKYZAEcX++9P5APvdLR5qi/4EYzEeScODsdHpyVGEdj0EZJYXkOJ7SOZhdeWSvRHUR1Xv231vpAwnUiZ3rUOTjJGrjyc0edbkf3fXSCTWt9cL5XfubK9h11LF7p/DO1TvfR63n0c0cdr8aIM9FHCc46KlvWUj2SiWDtJAPCHEY0KoP3FpGCo3ZY1hI07si99RpFhFZaBq91ZKlXpi58K9GwtUJ2fe+oi+AeOog9E+lWJ9ksMhOLUUaKLwcCgUDgCZNoTRJBr8goi4yp7hSdTgutFUWek+Ujmr6JxtFuN6icSIOmSYLXhspWpHGCRzq8VVmilaa0JR6NFSOB94ooMsSJQRlNZT2lhbwYo0xMp9OloVPG4xznKsqykKAYZdFxRBwbytxjjKKRpnhXkRXZgfMqiWPiOCZJEsoiA1U7MW1GWYlMmjEKb2qpN6PBW4oiR6GJTEvqSdYRj5OJxUl9I6WlTqRWispbqOMfJ7N2k+hA58VRaXSdQVHbSnE0TgYwEmBjasmziVPuUM2Auhbzoe32SiTSrbPYyqGNJklScayWOfgKpZzU5nQVVZkTG0cU1cFd1qO0XAPJNFEoVfdXPOhaBm9clFhXoY1I7oLGOhl8Oq8km0IZtPLoxBzYeOPq6zbJnlHgtQd7OGDD6zpKtJ645bDvoLU61reJHjEgLRAIBAKPhiiWiUNVB4Z4pagqcWY5LQ7ESX1Br6S+UhzL2FRHdWaj0VKcRSviNK2ddQaTtsWhJfE9kp2n60rGk+h/MxnnSsZeWVVSXkMbMAYTi4JBVNve0jqRF4tiFBDXUmHW1so9SI1GrxVVUeEif5CBUForGX6RRPXbuoRIEsUo50RedmJXnaUqK3Rtm20tSW6iCKX1gWNTaVOPP1U9ySlBQArJptB11gc6onJAHNWKQ5ooSmrnosbo6EAqFj2pE6nreyKKBJPAHKU12ojUuqv7DFopMAZla3WFshKVA13L4mst54jYUI9IzE8yHFAy2eusBBZpI6a5cjKTXFUivxtFpu5/ibPzsUwvunoSWGKMfD0xeyjGfmDa1URGPhAIBAJPhDQyRB7KLCPPMrqtGWanptFANhwy6vdod7ukUYTpdinKAu+h0Wyio4i8Kmkk9Vi+qsizDGMMeVnirKUsc7zzaBxJUtcc1JrKWUprybMxURLTnZ4hiVOGWY6zlnw0hsigTESSJqRRRObEdjabCa4oGBfjOmC5Im01SdOIJI5Iogidery3WFeSlwWu9JioSVWKmkISx2htKMaZqCU02pgkOZi/xoNJ4sMkmknSlNYStDPJTlRGgoSUOpA8N8ZgjAQv2ckcvBNpVQdgXR0MNJl3rxV9vLg18RIA5pwVJ289v6+jpLb9DhPHxHGEd5ZyNMLZCu0dcWSoKk+ZZ5jKEStQkaFyFqMhjkztOnVQeZyykvylNZHRjMucsiqJlcMZg05SmeufqDLpuga2qv0u9Vg8qq+BNgbnJ9dsktyESOraQ3/GRLb9IGkJqBsizs2QC3ldghPyEajn4w44dH4dhLFTBwDI5JuSjq5Wk7/FWXmYKjBxVh13DF7pqLxK8nXysbozfBBTX0ftUf8+SUeWAdFxEdgr931lZuG16j4ebdvk96MZh1dyZebh0X1MHIJXnu9V5/oIHHVAXtn2K8914jQ96ohUqi6WayIqX6GdpIYfjWyQWliHzlXvvdTAcFqiP+tBIKjaCVkPNP0kc7K+B3JEJLNDvNlKSdbGUYctSOSp3FuRclXeo71I/ql6glMrhQklIQOBQOBJISvGmMSQpBFeGYoyZzjqScfeeBqNBO89g0GftNGQiSyta7lSydIrikJqCDuPqxwmMuIo9BVpmmJtRZ6PKcuCNIkpy5LKebSOcXV9imHfY+MmRoszsbSeylZESV1g3jupcYCTOsV1jSulPWkjptVpoyLFcDzAeun0V76STIdIahc7BbaqJAtSRWKZbIV3OWmng9KxOCyd9CUk26OWYKmdmNZJdgPUNo9avoy6rpSSiVrnnWQtuNo21zWVNeKL08ocj+1CHWQKSN3F2rHpalFyretBkFzzSaYjHuI4xlaSoTiZNHXOomOFcxXWVYAjUhptVD2ZW0rNKDxRrKW+Fgal5DxFns7Xjkh/0AdTyk/Gacf6hwe9j6N9I3/YP5SoWc9BfStq+Tlf96k4kifpj8q1BgKBQOCJoLUSiU43eceK08s7J8u0rstwSA1BHceHAcFGi8yqkQBcZTSRmWQkihNRopXFsaYmDsh6ZKlw4F1d89jjlQZlUFrkWnVtK5WWcZ+ztdS4Vxgv9aOPaaHX1sHUHjTnHNobCQZyHqWMzEWoWnlAGZGWVXUQ0iTjoz53hTqYXHN1wIxHAn0mxzyobegVOopEftUdBhMrHdVB0Rqn6+tR//TqsJ/gVa0U5etJOoUUlKpHvh6F15MMyMO5laNzB0brWuatHkc7udpqIqfqxYaWVSVBWhxRFlAin8vBVZTTcvVnbF0bexIMNclknMisX4tjcxhH7P8k+Mq7icU/vpm6YlkgEAgEHh/jbETTKNI0xZcFtqzY29mh2WwSGUOz1cQ7y872Fu1WC2/rsleVOPOMUuR5jokivPNUlSMyEa1mB1xBo9nElhV5nlMVJWmayu9O9qOMKAv12KPZbKMica5Zb/HWE0cRcSKBUElsUF6kRpnUJrSONE3ptNsA9Ps9qrKgqipcJYpNcRQdKBhUZYnSBhWJPbPW4sqSZjciSmIq60TJSE2y/FWtOuDRta9ChvgTOyz9F5mPlmvqnJOaz7UTUiRKHc47MdtaH/gbJnZd1BEQ+1y7PN2RjEEFqFpe3qi63+UdKEecxFSZw7tKzLqzeGfrUjcWW5UH7ddKHIa2LMnKAgUkcUyUiny9AiJtMOrgZKBum6b+p+p/TFSdrrDlklkma9VhABZcrdQ4Scg6+HfgkAxcj+CEfESOTQ1dkWo8ebzUQWSB1IXSotKlJs6y+gvKFQ7NIzKdj0qOdTKZNUkcOHBA1g63OgLTK+nET9KVj3ber7nbK5x413IgXtlOOO5wvDIz8VpcL0vyyv0d5Vo1H6+17lptnVCW5UEm58Fx45iD6+blBTup3XU8o9MfDEZ0nfXonAJv6oGNqjNUa2ezU/j639F3marlZFQ9eerrl9jRc5CoUXmJaVGskwGirl/cXmO0woa3WiAQCDwpVLbA2ggdKWJilPZk2QhrY6x1EgVoHeN8RJzEdXCRP5BZ1VGMtRXO1vWKvEh/xLEmK/pEsTkoxu7qDAhlDPgKHWmajRaWyVjEHdRmcvUEpmRT1HZISae+siJL5pVMFMaNBB1r8jInGw2IjMG6CutKvHKYSGTS8qqkKiuUjohigzqYtNQSwKT8QWaC0gZfioSpSMHVc5C2jnJUh5Nz1HUhjRFJNerJO8laqNtvZRAjimwy8HAwCZrk6P993Vny6HpOT/oyk+OKE7CuE+Xl/KzN5fopP/GJUjmLtxbnHaaehBYlByiKnDzL0BoaKiUxEVVVyCSnmQQKWbySSEmlZCJbMihrByR1loSf9AKRa8oR56QSx6X3HFSJVoqDDNPDqFEOzgfv60jUQCAQCDxRnLf4iaNOSV1HoyKZZ6onI3VdJ9jEMXEUSTbjZGLJGKIkrR2SBmMkMxElJTcO3tZ11p6bTMh5KxLdTh0EDE8yD7SO0HEDpTTeaFwlNaN8UeKoJza1oRElxwJUJsVdJKtQ6ilpHU0Oj4lNbT+9OBC1PlimlcKoOja/snjr6glOf5ChqJTGW5lLOMhG1EdUEZwSu1hnS0zaKU5OLVmjOsLriSOyVgzQk7yF2hGra6l18YCKTFy9HXL5DvtBE/UkJRkKCoWva3ZJlct6DF7X6/bWixqFrSXXVK00NKl5VY+j/ZH/eedqdSN/mNHgJ5FE/qBNHHz2aufihElFSXdQ75LaITrp0wQCgUDgyaIqK6wXFbs0jTFGM+j3qcoS7z3GaKrK0u/3acSxJJNEEVWeS/Z8HFMVJbY6DMZJ4oQoMmSjnCiWwN2iyLHW1cHHkpkXRRHtTltqLCoJnJko7lSeerx+ZN5ag69kLO+RwCOjNc2GHK/Ixwx6fSJtKKuKsioAT5JExElCaUvKymIiTawlg9F6j6ZWH/T1+HWioOBFUc+7iZyoqB5YJwpBqrb7qnYqavTRyFoZd9cBTNa6g2x/kYfX2IMgnYlTjsPPm1oE1dVjZK3ruswSsIWS+QFnHbGJqVSGtXXm4yTkuQ669t4RmXquwVmUURRFxmg4FOWIToe4kVAWUoLGaAmgctZS1TLtE6l3CWRWB9qCioOUoUPdgomK0+RKTDJB637LsUQlOPA1TLZ1zh2oNAauJjghHyOPxtl2PY453Or/P2z245XHriMNfN0f9rVTctInVlqcjxiJyJhkLF7p2LwyE/JKOdhrZUNe73yuauMVn7ueo/BKJ+S16j5eK0Pzyi88HDo3r/zyX+teRVF0uJ2Ti+ncZB9yNW2dZm2tPdIe2d45xMlYv+y9OpRjVaqegJyEcGIPXsKTGpCTaJTJwOYwOhO8snAw7WxBWVAOybp1k3ANVJibDAQCgScFHWu8hrKsUBqSZoyzBVk+FoehVxgTY9AS3F8b3bLMsV6RtgxxHFPkpXSio5g0SbCuonAWX4r4dqPZwmhFVRZEdbF458WJqJTGWmimbfK8oioq0AmqlkEZ5zmqrkPpcGhX13qKQEcKpT3jbEBVFbiqIE0SkR3xFqc9Jo4wicZ4TVVakSuJIryVeMA4aUgnvchAST3Myk2i9Sd1jT1am4NJ2UmXXddZF1pP7GztBFQiCY/SlGWJdVfUwNamznac9Edkkk4+Xw9OvGQ1gmSixKae1J1MGHqpiamNZDw6Z2Vy2MjEZ1HmeFdIDY8kAjx5nuOUXNM8z4iTiIQEr6CsynpyuM4S8XWUJ+KU1EbXUu0yRDmY+JxkVMgM7YFyAaq2114iilQ9AXpUVn4iMz9hohhR2eqpffADgUDgo4SqKrCRqe2V1CIy2kiwiRdZVgwoY2g3GjjnyIuCoixlDG00UZrUEqz6UM6UWqYLJxNrdVCJ96ZWy5Hxm8fK2NAr8BF4sTORitAmAheTZyOwlWTwGwvGoOMEZQyqDlp2ddALXiYFsQrvRD7ucGx/dFyPOOZMdDAXoLUWR6SqUB7pu3hRA9ImkmukJ8FFRq5TZOqxq0z2ymC0lmXXEd7UDsd6DsLVMrOStaHR9Tpbj7OVVjLxa2SewlVVnXgwcd8dchB8DeJIZTKR6cXh6erUBndkbkRxcI+UkigfX9fFpA7eVpMJ2zpqyVPXnlR1Rqb3hwFDR9py+Lu/qq2y58mcQR1J7Cey9PVnghMyEAgEnlRMJEo21lm00TSbDcpszGg0oCgKQEtAropqNTt56xd5ji1LGu0OcSMV+VXniaKEJGmAt1hrKbS8y5utBgpFWRSkcUxR5XgscSyy6pX3pM02WVlSlAUqbmBqee9xlqEVVNairKWsJCjHRBCZeiw/HlCMx+RZRiNtSIajLVFKExlFmkS4wlGWFVopIhNJAI82JM0GtrKU4zE0mkSxoazVjFQtSe6djOXxEsCjvATx6Mm8vDaYOvDH1+N+ExmU1qIuYC1OTSRIpR9i4UhwDmJvvexToTAanHXSF4gjjIkkyaZOAHJ1DU1jRBnK18pPRkdgK4qxyNUaY2g0Ury3ZOMxWnnGecZwPCKNI1o0AU9ZFOhYAqFs7Qg0Wo4/8T8YbcRJWUvJTiKH1SQoycu1ObbcS3/AqMN+inWuDmByx2pHimPVYoswlr8ewQn5CFxZixAeLqOQOopAXfPfsW0Rua9rZf5d07kHeK0kulJ2cNDxPeigq0MnJEYfRBi6a0TUX8/JeK32XOkYvDKj8cp9XinJeq1rcK1l16r3eC251Ws5LI/+PLrdtWpQHnWCHv6ra15y9H4fPX9dZ0FSZ0LWDuHajB3EUNSTtvISdgcDmKPXYhJhebzdTmpSKsfkP+vdwcAQNZng9AeqPIFAIBB4YmhjUMbjvEUpmUysXCWBKM6iMUR6UqOvtjFa4UtXS69P6iY4tJ9kxdVOLES+1OFJk5Q0NgfS4DJBVg8K6tg7bQyVK7HOEhnJlvC+zt7Tdf1g6om8Wv7F+orSiexaWWbgLZGX49taZtxhca46cIaJw1AmS43RxJGhLOV840iyH0orbUIbvK1kT0pLhob3dUbjJABKnHVKUiUPzl1NJO6UwmipUW2oZeMVcv5KalOKNIwGJFPRoA5CckBsrThBwbuqbv9kknAi9e5re+6xljoK0aF0LSPjXC05J9mdUiOqnib2Ivuiagk6Mc8TeZW6zzLpt2mF8sdrOk6yHRW1FL+fSOPX7T/S55p85lo1q48uDwQCgcCTwCSbXUkmo9YSPDPJSIRJ0p7YZm/FdhRlKX9ryYbUSAafOuJQkuAZdRB0KvaLOrj0SEIBko3gbG0fkLGn0RqcRlV1LWJjMc5KnSVtxPZNxsHUO66zGpUxlJWlLEu0NsRRJLLnB/MR4nybSJ0COBTag9YRKgJrIpQVe6u1OVBzmgTVWk8tC1vLvHqF0w6sZFQqE9VSqEYyIjS1U1KWSelLXTtQ7cHchdKSteK9ZIJMDKjziNxrfZ6HE4SHQcEa2SfKUNX1m8WZXNelnvQdFIfyrnVQUxKpuoaVOEiVlrZqZerJ2sNgcTeJE57MudRBaA+XBTlp5OSYvs4akUnL+v+TCPJAIBAIPGG00Shdy2LWdmCSUGKtOCYjE8n4vVYthDqDUiu0giSKsM5ReYurI1+sc5JlWGe1J0lKbCKctZL5CHXgqMUpqS/c7ExhswzrIE7F1om6aEWka1UE7cXOGUUcaXAWZwsqryjKjMoWeB8h41BXzyxbsaF1nWdV28VJwlEcReTeU1WW2MtYG3dgtmTOojY+UroEtJH2SHCwzCsoGWjLONTKtdUHc+eT+Q7qflRtL+v8moNf6mlxKcdWO+10bfdrFQdXy9FOhseHPgaHNrH0WpRIxVdVJWoVkcZb6TNYrQ8yJJErUStTWQmcqgOAqJO+OBjHi7LgQY3Kybw9R3wr/tARqQ7K0NWZkOa4P+Kor2iSiTo5lzCWvz7BCXkdJg/WMMsPnVL1o6lrTzocOtMc1L6oIw/1kajDazki4yMjlqOTWZPtj2KPdqgnC6/4XSmFiiKiyhJpTaQ0Rx1wE7TW9SRh/fcVmZDO1bJpWupIHWQWIPWkJqnF13OwXuXwu+J6XOuaXOvLemWG5uSfrbWxr3SQThyKk0zDo05TYwwmiohjSdHXSoNXWGspy4qqKg7kz4rq8J47V0cweAWVqWtVuYPrppUiql/Cuq5TIfKuFq+KAyfkxBAeK2x75KUl6RIi/WaRydHSWxyWOkYFhSY2nmrSpBBOGQgEAo+LyfuzPxhjHYzHBc7njDOPswVRXWdB+zpDzkORAyhMFJOVBdZ5origshpXgasceVZQ5h6LZVgWmESDq6hyR5oYsiwnNopxVqIiT+XGVF6cZkWmGY9LnIqIY/A6xtXyXUqBcyXKV2gtNiOzOVWRkaaGVhxTlgVlmVMW0rmXmhAKE1VEUYkrHUVuKUtFaTyuVERxizzr41xK5SNyZfC6Iq88RWWI4pK8yFEa0qSsZWGoJysNRscYLZOQkfZUVUVRVTivZdLWRHKtnQNvKZFBjzGGrDI4P7Hvtu5niTPRGI33khGolSZNE9IkxtoS70pE3tyisChTUWRjvC+pKlEQyPMhVZVRlBmR0VSVRL7m44woNoxHOUVRUFonNTDHBdnIoUx1oCIh0qwR3uu6dlZMFHuMqeQ+oFBKzq+ytr5PGgn41CI/56EqS5nQjksJUqonJqvK1o7f6OCYzkkt0OFgdOw5DQQCgcBjY/L+zIsKo0sUDlN64kikSL2z4CuUdhgjcqzZOD/IhBznGQBRXpBkBSaKRFnAHMlqrypAAoC1MagoqrMDS/FsmlouDckOcKVBOUWkPUmkibTYxiyXekfWVpROnHVGaRIH5ogZmMixRoXUiswrsdFaGxppk8p7qWEZGTDg6lpPSoscm9GaGBkvK+ewZSU2yjkwJahagj06zGw0SUQcxZgooqpkjuBgLKwrtDF4NFaJyJBEbomzN1EpkSlwSlG6SoKptMbhiSNT961kDG60ODFR7nBM70VS1eYFBk9UX49J6LD1pdR4LktcVUIlGQmRmdRlqucX6onpotSgS0yUQFWh4hIig9cRlXcik6uMXI9alm3ihDzI8qhnhK41vSjycb7OhrD1JOvE/WhEZekaz2ggEAgEHhuH8/UZVsOoLPFFRlbk+LKQTP56FnVcVfja5mmtMVHCqMxxWpGUJT6vqJyntI7xOKdyMiYdZDlJoutxmyc2hnGWkzjPuKxQTmPGOV5BXpWUOiHLc5zRxKjaxsQyV6ygKkp8WVCaCqqKqizIxxlJHNOIE4pcyoX4A2ehhBTnzjK2ljyvyAtL6SGzElhkUkdhYqyJscZg0OiyonCeSht0bCiyHO0dRZpgy0Lmzk2EjmPiJMFEKToyqMpSVgWlrXBaydx5LO13lcVVFdpDZEpMZMip6z96L3UcJTqrLjMp0qlVVdZj+SZplGBLJxme1oIvwVbk3pMNh1ITshLbWYxHjMcZxWhIFEfSp/KOYZYRlxXDcc44z3EO1GDIsCwZFCVxZTHaSIIPStSflPTFJr4SU1XosoLSoIy4xKpavl1pXTuvJQvUOUdZllS2IolLYOJ8rihLcXwmaXLMl1KVFYPh8NhzGjhE+XBVrsnFixc5c+bM092MQOC6PPTQQ5w+ffrpbkYgEAh8xBFsfOAjgWDnA4FA4PER7HzgmU6w8YFAIPD4CDY+8JFAsPNXE5yQ18E5x+XLl+l2u9eVXw0Eng689/T7fU6ePHmVjFsgEAgEHplg4wPPZIKdDwQCgSdGsPOBZyrBxgcCgcATI9j4wDOZYOevT3BCBgKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBJ5Xgkg0EAoFAIBAIBAKBQCAQCAQCgUAgEAgEAk8qwQkZCAQCgUAgEAgEAoFAIBAIBAKBQCAQCASeVIITMhAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIPKkEJ2QgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEHhSCU7IQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCDwpBKckIFAIBAIBAKBQCAQCAQCgUAgEAgEAoFA4EklOCEDgUAgEAgEAoFAIBAIBAKBQCAQCAQCgcCTSnBCBgKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBJ5XghAwEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAk8qwQn5FPNv/g0oBVtbT3dLnj4GA1hagre85eluybX5+q+HTufpbsVTzx/+oZzn5ubT3ZJAIBD4yOf++8W+//iPP90tefr5lm+Bz/qsp7sVH9mcOwef//lPdys+PHzP98AnfdLT3YpAIBB4eIKdPyTY+SdOsPOBQCDwzCHY+EOCjX/iBBv/6HhWOiF/6ZfkZaIU/OVfXr3eezhzRtY/Gx+Syct08s8YuOEG+JIvgb/7uw9/e974Ruh24Su/8nDZxDmrNTz00NWf6fWg2ZRt/uk//bA19cPGn//58XsUx3DTTfDKV8J99z01x/zcz4Xz5+Hf/tunZv+BQCAQ+OjjwgX4hV+A7/u+p7slgY8UvuM74L3vhf/8n5/ulgQCgUDgkQh2PvBYCXY+EAgEPjIINj7wWHkiNv5Z6YSc0GjAW9969fK/+Au4eBHS9MPfpg8nX/VV8B//I/yH/wBf/dXwZ38Gn/zJH15HZFmKE/LVrxZn6JWkKfzar129/Ld/+6lv2zOBb/s2uUc///Pw8pfDr/86vPjFcPnyU3O8b/5m+Lmfg37/qdl/IBAIBD66eOMb4cYb4dM//eluSeAjhZUV+KIvCpHHgUAg8JFAsPOBx0qw84FAIPCRQbDxgcfKE7Hxz2on5MteBm97G1TV8eVvfSt8/MfLhXs283EfB1/7tfCqV8GP/Aj86q9CnsOb3/zha8Pb3y7yn1/+5dde/7KXXdsJ+da3ilPu2c7f//tyj77hG+Cnf1q+xDs78Mu//NQc7xWvkGfgbW97avYfCAQCgY8eylKk1q9n4wOB6/HlXy5qJU+V+kMgEAgEnjjBzgceL8HOBwKBwDObYOMDj5fHa+Of1U7Ir/oq2N6G//bfDpcVBfzmb0pm4LUYDuGf/3ORa01TeO5zxTHk/fHtJjKhv/u78Pzny7bPe57U3XskHnhAZDGf/3xYX5dle3uS0jo57vnz8KM/Cs7Jeu9FY/iLvujq/WUZTE9LltvD8RmfIT8vXDhc9ra3iUO22YSFBXGIXbp0uP61rxXJ1D/90+P7+qZvgiSRFNyH43d/V9p9883XXv/VXy2ZmR/60OGytTXJ2rzePdrYgH/8j2F5WbJdP/Zjr3baHdX3/vmfl+OnqWQZvvvdD99mkDYtLsI//IdS0xLkunzjN8pxJ/f7P/yHw88MBtBuw7d/+9X7u3hRMkEfSQr1WvfoZ35GjpWmcPIkfOu3yvMy4VWvkutwxx3H9/U5nwOzs8ezKpeW4AUvgN/7vUe4AIFA4KOOiUz2PfdIrdyZGbEt3/ANMBod37aq4HWvO3y3njsnEh55fny7iTb+X/4lfOInyrvqppvgV37lsbdvYnff9ja4/XaxW5/yKfD+98v6n/s5sZ2Nhry777//6n08ks2DwzrBly7BF3+x/L64CN/5nWDtw7fR+0P7eDSj/1d/9fC4c3MiT35Uivy1rxVZ7mvV7P2mb5J7kWXy9+Sa/vEfwwtfKOd7++3XVhC47z74R/9IjtlqiRrC7//+4fo77pA2vfKVxz/3l38pNuu7v/vhz/cv/1JqXr/0pceXTyTHf+M34Id/GE6flnZ+5mfK83UlT/V9uZJ/+A+lD/a+98FLXiLX5vx56R+CKGZ80idJe577XPiTP7l6H3/7t/B5nwdTU9KWz/xMeOc7j28zKQ/wP/8n/N//t7S33RZ5/EdTn/mXfxmiCL7ruw6X/fVfi7z69LS0+yUvkf1PeMc75Ji/8ztX7++tb5V1f/VX8vfkmt53n/QZ2m3pZ/zgD17d732k/vF4DLfeKv/G48PP7ezAiRPwqZ96/D5NnpnQHwkEPnwEOy8EOx/sfLDzwc4HAs82go0Xgo0PNj7Y+GewjffPQn7xF70H79/9bu8/9VO9/7qvO1z3u7/rvdbeX7rk/dmz3r/85YfrnPP+Mz7De6W8f/WrvX/Tm7z/gi+QfX3Hdxw/Bnj/sR/r/YkT3r/udd6/4Q3e33ST962W91tbh9u99rWy7eam/H3PPd7fcIP3L3zh4bLh0PsXvMD7+Xnvv+/7vP/Zn/X+la+Udnz7tx/u61/+S+/j2Pvt7eNt+Y3fkGP89/8uf1+4IH+//vXHt3vve2X5V37l8ev04hd7/5M/6f33fI/3zab35855v7sr2xSF9y96kVyrXk+W/eEfyude97qHuwvC+fPef+mXXr18cl02Nrw/fdr77//+w3VveIP309PeZ5ls863ferhuNPL+ttvkOrzmNd7/1E95//f/vmz3hjccbje5Bi96kbThR3/U+x/7Me8XFuR4RXG47ate5X27ffj3u97l/eys95/1WXI8771fW5PPnTnj/Q/+oPdvfrP3X/iFcoyf/MnDz37N13i/vOx9VR0/3x/7MbmfDzwgf7/jHfLZt73t+Ha/93uy/Hu+5/h1eulLvf/pn/b+n/5T742RezY5h91daduLX3x43J/9Wfncf/yPV1/7V79arkMgEAgcZfK+edGL5L39Mz8j7wvw/l/8i+PbvupVsvzLvsz7//f/FZsF3n/xFx/f7uxZ75/7XHkvft/3iV39uI+T9+EHPvDY2gdiK8+c8f5HfkT+TU+LTX3Tm7y//Xbv/92/8/5f/Svvk8T7T//0459/NDZvcm6NhvfPe5733/iN8r5/xSvksz/zM4fbXWlrq0quQ5p6//a3H273Qz8k5/sVXyGf/4EfkHfw0ePefbfs66d/+nib81zs0Td+4/Fr+pzneD8zI+fwEz/h/cd8jPRt/viPD7dbW5Pr3u1K/+EnfkL6LVp7/9u/fbjd618vx/6935O/BwPvb75ZrmeWPfw9mZzb/v7x5RMb96IXef/xHy/X+9/8G+kjfeInHt/2yb4vj4aXvMT7kyflWfqu75LrfvvtYl//03/yfmVF2vuGN3h/6pQ8Z5M+kPfy7Lbbh33AH/kR72+8Ue79O9959bm96EXSv/zpn/b+n/9zOc6Xf/nxNl3ZJ/25n5Nr+y//5eGyP/1TebY/5VPkWf/Jn5TvRJJ4/9d/Lds4J+f1ildcfd4ve5nc2yuv6S23SF/5TW/y/vM/X9p8tF/2aPvH73ynnNtrXnO47Cu/Uu7nnXde3Z7z56/dzkAg8NQQ7PzhuQU7H+x8sPOH2wU7Hwh85BNs/OG5BRsfbHyw8YfbPZNs/LPeCfmmN8mXduJM+kf/6PBlduVD8ru/K5/7oR86vr8v+zK5Wffcc7gM5EE5umzi5Dv64jnqhLzjDvmivPjF3u/sHG7zutfJF+Cuu44f93u+Rx6ABx+Uv++8U/b15jcf3+4Lv1C+4M7J35OX6Q/8gBx3bc37P/9z+eKA97/1W+LAWlry/vnP9348PtzX298u2/zrf3247P3vl3N99avlJXLqlPef8Anel+VVl/4YZSnX7Z//86vXHb0u3/md8vBOePGLvf+Gb5Dfr3RCvuENsuxXf/VwWVHIl7jTOXyxTK7B/Pzxaz1x8v2X/3K47KgT8i//0vupKXkujr6w//E/lhfUUQez9/KFnJ4+fL7+6I9k/3/wB8e3e8EL5EU5YfJS/w//Qa7B5cve//7vy31USp7djQ257p/92d5be/jZN73p8LMTJsf9oR/y/r775Fpc2YGY8P/8P7Lt+vq11wcCgY9OJu/lo51k773/ki+Rd+mEv/s72e7Vrz6+3Xd+pyz/sz87XHb27PEgGe/l3Zam17YNDwfI5y5cOFz2cz8ny1dWjncsv/d7Zflk28di8yaDsh/8wePHn3TCJxwduJSlDEyaTXkfT7j/frHjP/zDx/f1/vd7H0XHl3/Kp3j/SZ90fLvf/m05xjvecbhsck1/67cOl+3vi4160YsOl33Hd8h2/+N/HC7r96WDfe7coV2x1vtP+zQZ5Gxtic2NIrFDj8TXfu3xZ2PCxMbddpsMvia88Y2y/P3vl7+fivvyaHjJS2Rfb33r4bIPfUiWaX188DGxr7/4i4fLvviLxT7fe+/hssuXpb/5D/7B4bJJf/SlLz3so3kvHXtjvN/bO1x2tE/6xjdKX+BosJdzMsD4nM85vq/RSO7pZ33W4bLv/V75rhzd/8aG3NfXvvZw2eSa/rN/dvw4L3+5nN8kWO6x9I+/93vlGv73/y6BVlcGiR3lsz9bnpFAIPDhIdh5Idj5YOeDnQ92PhB4thFsvBBsfLDxwcY/c238s94JOblRv/Eb8lJrNr3/9/9etrvSCflN3yQP0tGXn/fe/9VfXe1cBPFCX8nU1HGv8cQQvOMd8uX81E+9OsrgBS/w/nM/Vx6Qo//+5E+udrh90ifJC2bC9rZkBR71rk9eplf+m5qSjEDvvf9f/+v6EQe33nr1S+Df/lvZ/hM/Ub4M/+f/XP25K1lfv/aDfvS6bG56/zd/I7+/612HEST/7b/Jdlc6IT/7s8VAHXXKee/9r/3acefi5Bp8y7cc325nR5a/8Y2HyyZOyD/7M/n5JV9y/EXrnESpfNM3XX2PJs/aX/6lbGutOJq/9msPP//+98s2k+fO+8OX+pX/Fhe9/5VfkW3e+lZZ9l//6/FzyHO5l1dGHHzzN8uL5oUvlMic6zkZ3/xm2e+juYeBQOCjh8l7+V3vOr78J35Clk9s1ySQ4YMfPL7d6qosPzogOXtWotKu5AUvkHftY+FadncyiDpqJ7w/7Gj96Z/K34/F5k06cxsbx7f7tm+TSMYJEzvzwz8sHdl2+/gAw3u5dkqJbbvSftx2m3RoJ0zezUc7ga94hUTCHe2onj0rduboMu+9/+7vls+vrsrfz3nO1ZGK3h/a88ngwXs5ZrstQUBKHY+cezg+7/OOBxFNmNi4H/ux48sn9n4SqflU3JdHw0teIsE6V17DmRmJzjzK3p4cd3JNqkqiQK+MfvRe7LDWh9+VSR/hN37j+HaTAel733u4bNIn/dEfffhr98u/fPWz9OpXS99s0je64w7Z9hd+4fDzP/3Tsuzuuw+XTa7plZGNf/AHsvzXfk3+fiz94zyXaN4bb5Q+zUtecvV1nvAVXyHbBAKBDw/BzgvBzgc7f5Rg54OdDwSeDQQbLwQbH2z8UYKNf2bZ+Gd1TUgQzd6XvlS0c3/7t0XD9su+7NrbPvCA6Od2u8eX33bb4fqj3HDD1fuYnYXd3auXf8EXyH7/6I9Ec/god98ttSQXF4//m2jsbmwcbvvKV4pe8KQtb3ubFJP9uq+7+pjf9E1SD/NP/xTe8x7Zz7/4F8fP5bnPvfpzt9569bl+13dJ7cV3vUv0rm+//erPXQ/vH379i14kx3zrW6Uo7srKYW3EK3ngAbjlFqlTeZRHe49mZ+Xnlfcoy+DlL5e2/MZviAb4hM1NqcH48z9/9T36hm+QbSb3SGv4mq+RWpgT3fW3vEX0s//RP7r6fP71v5Z79Gd/JnrWly8f3svr3aMkER32K8/1x39ctML/7u/gp35K6j9ei8n9UOra6wOBwEc3j/TefOABededP398u5UVqXfwRGzlY23b9LT8PHPm2suPthkevc1rNOQd/2ja/G//rbzzf/M3pT7BUe6+W965t9xytf24447j9v0rvkL0+d/yFvl7fx/e/naxKVe+r8+fv3rZc54jPyf1Mx544Nrney17efPNUkfk3e+WGsTf//1Xf+56PJyNfzTPEjw19+WROH366ms4Pf3Iz9Lmptj3611b547XCIFH3xf5i7+Q2h3f/d3Ha0eAPEsgdaCvfJZ+4Rekhsv+vmxz661SA3vyLIH8/smffPX3VmvpUxzlWs/So+0fJ4nUy75wAfp9+MVfvH5/w/vQFwkEng6CnQ92Ptj548uOtjnY+ePnO1k/Idj5QOCZTbDxwcYHG3982dE2Bxt//Hwn6yc81TY+emybf2Ty1V8N/9f/BWtrUnh0ZubJ2a8x115+rS/xK14hRUnf8hb45m8+vs45+KzPOnQQXsnkAQIpgPua18h+vu/7pEDuJ3zCtb9At9xydYHZx8t99x1+aSaFgx+JuTl5IB/NC+Wrvxre/Gb5UnzFV1ztZHy8PNp7lKbwspdJUdU//EMpFDzBOfn5tV8rL4xr8YIXHP7+ylfC618vhuyrvkqcq5//+Ycvv6N8zMc8effob//20Ai+//1y7GsxuR8LC0/OcQOBwLOLR/vefLQdjsdiKx/vvp7MYzzc/q7F53yO2I0f+zEZuDQah+uck+v0B39w7X12Ooe/z86KrXjLWyRA5Td/UzqjX/u1j+8cHit//Mfy8/Jl2N6WgegjMT//8Db+6bwvj3dfT3abH8s+n/c8CXr6j/9R+oo33ni4btIXef3r4YUvvPb+jj5Pr3wlfPu3w8WL8hy9853wpjc93jN4bPzRH8nPLJO+49HzOMrubuiLBAJPB8HOBzsf7PzVBDv/6Al2PhB45hJsfLDxwcZfTbDxj56n0sY/6zMhAb7kS8Sp9c53irPrepw9K1/Yfv/48g996HD94+X1r4d//I/hW75FnFJHuflmGAzEGXWtf0e97nNzkrH3lreIt/p//s9rZ0E+EpNzufPOq9fdeefxc3UOvv7rJYPz+74Pfu3XJKv0kYgiObcLFx5526/+alhdhbvueuR7dPfdh1/gCU/0Hikl1/QzP1MyFv/8zw/XLS6Kc9Ta69+jo1mHz3++ZFS+5S3wP/4HPPjgk3uPikKu6dFzHQ4lK/P22yUD9sd+TKJgrsWFC/KiuDICJRAIBB4NZ8/KO3gSmDJhfV06XU/EVj5VPBab91j55E+WoJP/9b/EflTV4bqbb5bO6Y03Xtt2fPInH9/XK18pdvDd7xYb8qIXSWf2Su655+pO7113yc9z5+Tn2bPXPt9r2cuf/VnJyv/hHxYbc2Ww1PW49VbpfE6i9h4rT+V9eapYXIRW6/rXVuurIzAfLQsL8Cd/AnEs/ZHLlw/X3Xyz/Jyaun5fJI4Pt//Kr5QB06/9mjxLcSxBXlfinASaHeVaz9Kj7R+/733wgz8ofZIXvQhe/errPx8XLhxGYAYCgWcOwc4fJ9j5YOcnBDsf7Hwg8JFOsPHHCTY+2PgJwcY/9Tb+o8IJ2elIlt2/+Tcii3o9XvYycTRd6V3+yZ8UJ9Xnfd7jb4NSIuf5ZV8m2XT/+T8frvvyL4e/+qtDb/NR9vaOvwRBHFof/KCk9xojD+dj5RM+QRxnP/uz4lWf8Ad/IGnlL3/54bKf+Al5If/8z8PrXgef+qnwT/4JbG098nE+5VPgf//vR97u5pvhDW+QVPhP/MTrb/eyl0lG66//+uGyqoKf/mm5zy95ySMf63okiThXX/xieU7e9S5Zboxksv7Wb8EHPnD15zY3r172dV8nkShveINElzyeZ+elL5U2/dRPHTdQ/9//Jy+Bo/fou79bnJ2//Mtyv86dk+fs6L2d8J73yH0JBAKBx8PLXiY/3/CG48t/4ifk59F30zOFx2LzHg8vfSn8p/8kUZRf93WHgTJf+qViQ37gB64eaHgvUYpH+bzPk87rj/6oyHlcL3Ly8mX4nd85/LvXg1/5FYmqm0Q9vuxlYsf+6q8OtxsOxZafO3coq37hgvQnXvEKCTT68R+XPsqv/Mojn/enfIqcx3ve88jbXoun+r48FRgDn/3ZopwwkTgBGbi/9a3waZ92tez+Y+H0aRm8jMeikjF5Rj7+46Wv9OM/LoFrV3JlX2RhQZ6nX/1VGbh87udeP1LxaL/Xe/l7MniCR98/LksJWjt5Et74RvilX5Lr8prXXH3M/X24917pUwYCgWcWwc5fTbDzj7zttQh2/mqCnQ8EAk8nwcZfTbDxj7zttQg2/mqCjX94PirkWOH6MppH+YIvgE//dPiX/1Iexo/9WHEk/d7vwXd8x6Hn+vGitTxAX/zF4nj8r/9Vah9+13fJS+LzP19u+Md/vLxc3v9+SeG+//7jD9vLXy6Orbe9TR6W69X+ezjiWF6M3/AN4rj7qq+Sh+uNb5QX2uQhu+MO0ZP++q8/dOD+0i/Jy/FbvkXqJz4cX/RFkop8113HZWWvxbd/+yO3+5u+CX7u56Q973mPtPU3f1MyQt/whqs1jh8rzabodn/GZ8i1/Yu/kMzGH/kReMc74JM+SaR9b78ddnbgb/5GXjA7O8f389VfLfK6v/M74rA9GtHwaFlchO/9XjF4n/u58IVfKNEaP/Mz4iidGLQ/+zNZ9trXwsd9nCz7xV8UKYHv/37JipywsSGRDd/6rY/r8gQCgQAf+7FiU3/+5yVQ5iUvkQ7yL/+y2LdP//Snu4VX82ht3hPhi79Y3r2vfKV0XH/u56Tf8EM/JO/y+++XbbpdGSz8zu+ITfvO7zzezq/8SukgGnN9We3nPEfUFd79blheFt3+9XU5/oTv+R6JnPu8z4Nv+zZRUvjlX5Zj/9ZvSZ/Ee/jGbxTb9+Y3y+e++Ztl/bd/uwzITp68/jl/2qdJf+RP/uT6tZwfjg/HfXkq+KEfkmjTT/s06QtFkdzvPD9ucx8v589L//Mf/kORCPqzP5Nn6hd+Qe7n854n1+zUKbh0SfonU1PwX/7L8f288pWHddBf97prH6vRkAH3q14lfZw/+AP4/d+XQexEMeHR9o9/6IekLvWf/qk85y94gcgR/at/Je2YTHqAPDPeSz8xEAg8swh2/toEO//Yr1mw89cm2PlAIPB0EWz8tQk2/rFfs2Djr02w8Q+Dfxbyi7/oPXj/7nc//HZnz3r/8pcfX9bve/+a13h/8qT3cez9Lbd4//rXe+/c8e3A+2/91mvv81WvOvz7ta+VbTc3D5eNRt6/5CXedzrev/Odh8f93u/1/vx575PE+4UF7z/1U73/8R/3viiuPs63fIvs961vvXrdhQuy7vWvf/jz9977X/9171/0Iu/T1Pu5Oe+/5mu8v3hR1lWV9y9+sfenT3u/t3f8c298oxzj13/94fef53Iur3vd8eXXui7X4lrXeX3d+2/4Btlvknj/MR8j9/woD3cNQI4/4VWv8r7dPr7N1pb3t9/u/cqK93fffXjcb/1W78+ckWdjZcX7z/xM73/+56/d9pe9TI71v/7X1eve8Q5Z97a3XffUD3jTm7y/9VY55vKy9//kn3i/uyvrej155j7u47wvy+Ofe81rvNfa+7/6q8Nlb36z962WfC4QCASOcr338sSmXrhwuKwsvf+BH/D+xhvl3XTmjNiwLDv+2WvZWe/FBr7kJY+tfdeyB9d711/vHftwNm/CtWyC94fX55GO/TM/I8u/8zsPl/3Wb3n/aZ8m+2235Z3+rd/q/Z13Xn2cd71LPv/Zn331Ou8Pr+kf/ZH3L3iBnMutt17bntx7r/df9mXez8x432h4/4mf6P3b3364fmLLf+u3jn/uwQe9n5oSO/ZIfNu3Sd/lKNe7/pNrdqXNfjLvy6PhJS/x/nnPu3r59Z7Xaz17f/M33n/O50hfrtXy/tM//Wp7f73+6OT6vOMdD3/sv/5r77td7//BP5C+o/fe/+3fev+lX+r9/Lxcr7Nnvf/yL/f+T//06nbnufezs95PT3s/Hl+9fnJN771XnrdWS/oZr32t99Ye3/aR+sfveY/3UeT9P/tnxz836UuePHnYd/He+6/4CvlOBAKBDx/BzgvBzgc7fyXBzgc7Hwh8pBNsvBBsfLDxVxJs/DPHxivvn0h5zsDTxWteI7Kca2uiZ/xM5nWvk4iOu+9+cgvRPtP5ki+RbNZ77nm6W3LIi14k0Rg/+ZNPd0sCgUAgcC3e+15RG/iVX7l2PeFz5yRD/+1v/3C37Nrcd5/Uk/iDPziU/Ag8M6gqiX79gi+QPuOVfP3Xi5rEtSRhnkrW1qS2yn/6TyFDIhAIfPQR7HzgySLY+UAgEHhmEWx84Mni2WjjPypqQj7byDKRdX3FK575DkgQh+lgIA/oRwurq5ICfS2j83Txh38ojuDv/d6nuyWBQCAQuB7//t9LjeMv/dKnuyWPjptuEjmZH/mRp7slgSv53d+V+hKvfOXT3ZLjvOEN8DEfEyYmA4HARyfBzgeeLIKdDwQCgWcWwcYHniyejTb+o6Ym5LOBjQ3R3f3N35Tipo+mhuIzgU5H2v7RwIULUp/yF35B9LG/+Zuf7hYd8rmf++GPkAgEAoFHYm3t4dc3mzA9/eFpy9PJf/kv8MEPSn2Of/pPod1+ulv06JnUoHi62dmBorj+emMOayM8m/nrv5b6z697nSggvOQlT3eLjhMGuYHARxfBzgvBzj9xgp0Xgp0PBALPFIKNF4KNf+IEGy88m218cEJ+BPHBD8LXfA0sLcFP/ZSkeAeeWfzFX0iB2RtukKLBKytPd4sCgUDgmc2JEw+//lWvgl/6pQ9LU55W/tk/k0LuL3sZ/MAPPN2t+cjkS79U7PD1OHtWirE/23nzm0Ux44Uv/Oj47gQCgWc2wc4Lwc4/cYKdF4KdDwQCzxSCjReCjX/iBBsvPJttfKgJGQgEAoFA4GnjT/7k4defPAm33/7haUvgI5v3vAd2d6+/vtmEv/f3PnztCQQCgUCw84Enj2DnA4FA4JlFsPGBJ4tg45/9BCdkIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBB4UtFPdwMCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgcCzi1AT8jo457h8+TLdbhel1NPdnEDgAO89/X6fkydPonWIIwgEAoHHSrDxgWcywc4HAoHAEyPY+cAzlWDjA4FA4IkRbHzgmUyw89cnOCGvw+XLlzlz5szT3YxA4Lo89NBDnD59+uluRiAQCHzEEWx84COBYOcDgUDg8RHsfOCZTrDxgUAg8PgINj7wkUCw81cTnJDXodvtAvBpL3oBL/17H0diM3yVMxiN6I1K8tJTWkiilFYzpZGm6DhBRxFGK6yr8N6joohxUTDMCjb3elxc22SvPwKlaSQNZqe7dFtNtKtw+RDvSqbbbaY7LdqNFlprtNGyfzxlURAnCbOz83S6U2gd45ynKErKskJhUFqDVlSuQimNjiK0jvAenPckUYKOYxqNJq1mhyRJMNpgogRtIpxWlA6sAiJNnDZIGg3a7RaNtIVSCmsrRsMB42GfIhvLg+QsVZmRj8YYE2FMhHVQlhXOWkzSpNtpURYZa5cv0d/fRSvP8vIyzXaLoqrY3R+Q5TnWeZIk5cSpk5w8eRKU4sH77+eeu+9k9dJD2DIjiaDbTEmMAl8xtiWD0Yj9vT6jcUmrPc3S0gmarQ5ra2tcWr2MMoZ2p0Wz1WBmbpZWZ4rBfp/xsOCWm5/Lxz7/Y5mdm2dre5v77r+Xrd1tujNdFubnSdOUoixZ21jnnrvvYzTO6E5Ns7S4zNLyMlGSkI8LyrIky0Zkwz6LiwusrCwxHmesra+RjTOWl5eYmpqmKAq2d7ZRKNrNJuU4xyjFuZvOcXl9lbf/19/nnf/73WRFjlce5x0Wh/We8d7ewTMaCAQCgcfG5P35BS//dOZmF7n5ludx6uRZnDd4r7FViYk17U6L8XhIr79LHCUsLi4xHI7Y3d7lzJkz3HDDOawt2d3doSjH2DKnKDMeeOACM+0uGxubdKamWF4+wczsPP1RhrMKFUUsLK7gURgTY6KYOG4yHA4ZDgc4V+G9w7qSmdlp0iRhfX2NyhZoDbExVFmPBx64QJqmNJttNjY2WV45wdz8Amvr66wsr2CihLIqGQyGjMdDrLV4D+NRRlFVTE3PsrxygsFgyNr6Jh/zsS9kOBwxHvXp97bxriIbjyjKjPFgQGQU41GGRpPEKXOzC/T3B3jv2N3f4NTpFTY3N9ja2mRlZYUkTRkO+vQHPaJI0+v1mJ6ZRgPDXp/BcMC5czfSbndxHi7c/wDzCwugFOvr63Smpzl58hTZeEwcx3jn0MqwvrZGWVRorZiZnsZWJUVZ8IH3vZfZ2S7ee/LKMhyO6fd7nDxxhhtvupE//qM/5sL9FwFQwDO9KHqw84FAIPD4eCzvz1arxcrKCg8++KCM9woZzx1Fa433Hu89jUaDoihwzh2sN1oxPT3N9PQU/X6f/f19qsphjKbdbjEzM8Pznvc8PvCB/8Pu7i6LS4tMT03x4IMPkecZVVUxNzfH+fPnWVxcJE2aoBLKsqTZbNJspfT7PcbjEVk25syZG8ArHnjgEmfPnuX0qTPEccrW1gaVLRiO9zDa86E7PsD87Czr65ukSYMzp84yO7vIOMsocFg8N5w5R56XtFtdoigmMjGj8ZC9vT08lqIowDtm5xcwccTO1iauqhiPR8zPzTLq73PP3XcyPdVF4djb2WVpZZlTp2/kjrvuZuXEClMz04yyMaMso9froYBsnKGdZ9DvMzM7y9mbbqA/HHHXPRf4tE/9B+z3R4zHY/r7++TjId5mDAe7+Cqnso7huKKsHNPT07RaTZlzcI5Lly5y/vwtrK6usrGxwalTp2g2m2T5iJ2dLZRS9Pt9FuYXyLOCqqrIs4yZ6RlOrqyQZwX33HcfiyuLoBVbW1u0Wi1Onz7NeDTG40nTFK01ly5dIs9zrLWcOXWS0WhEWVY8+OCDNJtNiiInzwt83eFoNBKWlpZ48MGLwcYHAoHA42Ty/vz+r/9y2mkDoyU70lUVZZ6D9+A9Go8xBq3AlTnOVng8SmlUPcfqvEfhsd5SVWVt2xVp3EDrGBMlmLSJjmIcoHSMMRptlOzDWbyzoJDxu7U4Z6U9zhNFsexHp0QmQesIpRQFFowGbXDKoHWENhFJ0kTjUd6jcCjvQUHlPGiF8uCtxVYWV1VQOZTzaBRxFKGVwntLYQfYuj3eVnhk/BsbxTgbMxwMaSQxrXYL6yxZYUkbDdI0xWiDr/9z1lFVFZWrwEl/SGuD8x5X94u8czhnwTmUluMo7/He4ZzDOygq8Q3YskShiEyEUVp8DlGCSROiJEFHsVxL5QCPUoivocgp85xiPMLbCoVHVom/wR7pt3lAaYNSkyxEBUrJNdYKlCZudIjSFG0MVeXw3qO1xtTX3pUFviqoiozRaIB1Oc5VaBRGKWxVUeQFeI11oHVM2moTxU0K5/l3f/Lnwc5fg+CEvA6TlG6jPJGCNDJonaKcpyo1cWxQUUIjSYkjjQKsiojilCiK0EZjvaOoSspxxV5/xNbuPvuDIYXzdDodTq4sM9VqoV3JcH+XKDJMdzrMz8zQjCOSKJYvQRSTJDGuLMB5NBq8oixKrJVOrbUO5yFOIprNFkmS4DSgdP2CVShlUMbQaLRQysikZ5SgtLS/kbYxUYzTCuMsRBFRmtKekhR3YyLiOEYpRRRFGKXQeGKtiLVGe0dVpoxQxHFCkqQYE1NZS1laTJyCd2gcS4uLzM9MoRU0mw1QCudGdDsdlpdX6HSnyfKKfr/HB953B3mRUxQ5cdLg5ptupipGFNkAqgLtZbI2shVTjRjdbtBOUqamp5meauGUwhiII0XaTLn1uc/h1OnTtGZmcA62N7bwFm6/9XZuu+025ufmeeDB+7n3/jt5//v/lnGZMTc3x8z0LFEUo7TGGM3szCzzi4ssL52g1W6TZSXjcUGey6B0aWmFG244zdLSEuPxiCRp0O/3aTabLCwsYYwhTZv0+32Uh9mZFpWt8Ci0NnS7U7Sardr56Km8w7vyYMAbZAcCgUDg8TF5f84tzlEWJRsbl8mynJmZeWZmF5hbmGY0HrC7v8ni8gI3nF3hfe/9AMPBgPm5BTqtLkVhGQ0zut0pZmcjer09tgabTE8v8zEfs0B/b5Pu1AwPPfQQW1vbKJOwuLxCWTrGWUFRyCTa9PQsszMzOKuZn52l19un19vHe0eWjfCVo6JkYW6eVrvBYNDHe0s81SQ2hrX1DZqNJidPnmK/16PT6TA/P09/MGB+fh6lYm668UbWN9cYjzOGgxHdqQQTxfQHQ6xznL/lFprtDnff9SHm5xeYmZllem6WIh/T7++Tj0eYeBesJU277Gxt431Fp9Ol1WyDUiysLGIizfnnfAzj8YC77r6bvb1dTqycYunEaZaWFrl8+TLWWqIowpU5g8EAYwztqWlGo4y5+UXa7Q4mijh16gyrG5tcvLjKwvw8SdpAKUWj0QQiirIgz3I8MkgpKsvc4iLz87MURY5zjlZrzNzcLHlWcuG++3jhC1/IxYurVJWV5+DIM/FMdEgGOx8IBAKPj4d7fyql0FrjnEMpRZZl9Pt9oihiampKAkW3tw8cj41Gg6mpKba3t7HWkmWZTMIpmefUWuG9ZzAYMDMzzfnz57n//vvZ2trGeyjLkqIoGI3GfOZnfgYf/OAHed/7PsDC/Dyf9Vkv5Y477uDixYsH7bDWMj+3wOzcIknaZHd3myxPufHGs6yvrzMcDlHIWH5paQV8jFIx1nsarRZrq9sUZcGZ0yc4ffoMzWaD4WjMaJCx19unOzVHs91GVTlpq8XW1iZJ0qTbnSGOE1qtNo1mE1BYW1CURe1My2joBt2pLo00ZW9nmziOmZqaptPpoLVhfm6BwWDA/l6f6dkBp0+fZr/fo9mWfSpj5PopzXg0ZmFhgbIoieOYsvKcPXczl1a3+OCH7uKGczfSNjEzs3NsbqyRDXqUVUlZaFRZ0Ggl7K2uc/bsWdI0paoqoihicXERay2f8RmfwV133cWHPvQh0kaD+cVFllZWaDQaPPTAA6RpSrfbZXN9g35PZNOKoqCwJcsnlojimOUTK3S7XS5dusTGxgbLy8t474njmCiKmJ2dpSjEkbm+vs7p06e58867OH36NKPRiDiOMMbgvcc5R1GU9Hq9R3xGA4FAIHB9Ju/PNIlJ0licWc5itSY1EbYqcVUlTrfYEEcGnUTYshInoa+wzmGdx3sr890ojDJ4I/PnsdIoozGRODGNMcSNBiiD1kqcbd5hbYl1CmdLrLN4V4mTzDsMikRFGOOJjCcyismrP9YRGAPa4JUBE6PjhCiVOXcFaDxaAYjDj9qW+EpjtcIZhYo8ynmMUsRm4oR0mKrEIU5Aa2tHqRenLN6jnCNNU9qtltjPBOIkIYoj8NTXyRHHEVobjDU452vfgkZT+3qdwymHUxr0oeNQoVAyUsd7RUNpbJ2ghFPyOWtRUSQ2srI4XQKeKI5JG+mBg9fj0JHBuJhUNbFlKU5H70BJIpVJ4oP+nVwxhfMcOCKV1mgdgVZ4pdFRjI4NxsS4yNfBQgqcRTmHdRrvNF4rjAKtDEorjEacvY0GtDx4jVca6xSlFYf25CYHO381wQn5CMgXRx6eOI5BaZxuUnoNJiaOIxSWsqioKo+yiiiOMUlCVRb0RgM2d/e5vLnNTq9H6Txx2qDVaaO8ZzTo46uCWGum223mprvEWoEXR1Sj2cREsbwkjCdOHEobPJAXBUVZSZYjCmc9lc1ROsLECY1mC60NAJV1OC9fNosiSRKiOMUrhXOiWRx7X79MZVCl44gkTWSQ5j3WWpTSmNppmY0zifyrqoPoEpw/yKyMtEEbg1JKBmhKU5QFzjqaaQPTamAUWGcZZxm2qui0p1g5cYKp6Tm2d3vs7fXZ2+uT5RnGKNIkQmtIm6CUpcokMsRVFZ1GQ6Igypg0BqMcO9vrFJVnPBzQajZZPnmCj33BCzh74030spy9vX2q0qItOFextbWOUo7+cB/rCqJY4YuK4aiPAtrtLguLSywvr9BotplfWOLsDTfSaLQYjTM2NrbIsgKt4MSJOTrtFkVZsNfrkeU5lbXoyKAjQ7PZojs1RWkrbFkxP79AVZWMs4z19Q2yPMd5jzER3lmUd/JcEF5kgUAg8GRw/vzN7O/12d3t0Wg22d6xjPMx/UEblCNtNXjo4v10n3sr3Xab3v4ec7PztJot5mY7DIdjxuOSpaVlut2IqtSYSGO0x7tdZmamKCtHlhf0en2sU8wvLHBiZZnCOvr9PoNBjzzLaLWmcLZAKU8cG5yD6ekpvPfs7++hlMcYRRIn5NmQrMhptdqcPHGKy5cvMTs3TxTF7OzskCQpaUMclu12R5yaTvo0rVZLnHBKE8cRo+GArc1NOq0WszPTXL50ienpaZSJaHQSlEko2zlFadlcWyNSikazw3g0YnV1jenpabrdDlUFGMPF1XWazQanb7gZZS6xtddncWGRYe6ZnT+B1prNzU2azQZJ0mZ9YwNUQp4P6U7N0p2aIssy8sKSJi0WF5pUVcXaxhZTU1OiqjAzy3AwxFpI05TNzXUuX15jcXGOztQ0RZGTjcdUlcVEETBkNBozzsYsLM6xu7tHlpXSv9NwJJklEAgEAh8F+Do1LY5jqqoiTVOmpqYoy/Jg0khrjbWWsiwZDocHTkuAJEnIs+xgf+12mzzPuXTpMt572u02/X6foijqrAHN3XffRZJENBopi4vzXL58CYBz584Cjs3NLYoiJ4oMq2uXyIpcAn8jzfb2HmfOrNTOwJwoionjlBMrc2RZwebGFjfceAZjoN3pkFYxeVHgHERRyszsPGmaUeYVu7u7zC4scOrUKXb392m1WpR5xfbWBosLy4yBKIqoyhzrLEkcEUeGUTZmc2OdM6dPs7uzQ7vVZtDrUdmCU6dv4N577qLdanL69A2sra+zsbHJ9OwsSql60rQiz3MajQbj0UgCt7U+uAftdoednT1OnjzF/7njTk7fcJY4boDyzMzOkTVSdvd2GY4rGo0mg94ucZpy8dJlzp47S5I28N5TViWNtCHqCouLnBoMuXjpIt3p59BsthkNh9x083keevAh9vb2WVxaluBu54iiiDzPWVhYJC9zer0e1lpOnz7NYDDg/vvv59SpU3Q6HbIso9PpsLu7y/zcHBtrq9x77300GinGaGZmptnY2JDgcCeZJFCxv9//cD7qgUAg8KzFi4/rIGPPWockummUMWgmTih1kJwjH1Tg6ow3K5mGWnHgYFNKobRCK42pA42cqySj0jt8/fmDTD9b4a3FVxZXlWAtWks/QnkLVtVOMYVWBpAEIWpXI7o+ESbz7qC0witx42kl8+neOsmE9B6tlOyjzsKE+jrU61Fa9qmUzMmj8HjKqgKlaHe6JHEkgbha0UibeKCsHEVRYCvJnjRHaxqqiYPv0MnnmCSeKrxXksGpNVoraWMdsFWVJc478bHUjkAFVNZivUdrsBaslzYnLqodlU52UI/XtdKoKAJr8c6jtaHyThyD2ogTUm4P1vk6MeswE3JyXXVsxBGN+FSo+yplWREpaYe1jtK6+twgMhGRkXOLTUQSRVjrsR7Kyh8oYk76mIGrCU7IR8AoSQ2OlJZsPw0mjRkWFbl19RcZvFG4SmO9wimNihLKwtIb5Gzs7LG1u09WFMSNJs12i1arKTImgz6RhrnFeeZnp2nEEUU2QqOIoph2p4tShjzPsM4SJQnGGExkcEgaMWqSDi0Zh3lV0cCTNppEUYJHkeUFWVFinUc5aMQpabtTOxhlYtKXFnQt3+o9Jo6JkvhA2gTAWkl59s7Li6ko5UVoxNmpFCRRBEhkg3cOW1lsWZFVJc5ZFI4oNqRxRBxpxuMxzkq6eiNJaKQNYmOY6k4zNzsPHsZ5RpYNKYoxeZnTSDRRkoIrcaUHX5AYg440SWTQUco4r3jo8hr7/TGVV3SmZ1lcmGdhYV6uv4nY3+uhvKMsC7a2N3CuYjDcZ2trgywbMD3dwSSKykrER5omzM7OMD+/SLszxcLiCidPnWKqO0VeVDQaLXr7A1COdruBjjTFaEhZifMxSmJa7bZMimpFlMQSaZp6ulPTpGnM9s42TlI7cJU4frVy6EOX+NP0bQgEAoFnFzs72zTSJt1ui+Fwn7J0xInGEbEwN8/d994FynP3PZ5y5Dh54jR5NuLsLedI0jb7+wMG/RHDYYa1jnPnnkNR5KyuPkhWVETjgrNnb2JrZ4f9Xp/t7W2mp2fY29uj0WgyNzfL3t4eYNnf26G3BwsLCzTimL39IY1GinOOTqtFXuZsb2zS6XawZcXC/CIXH3qAOE5YWT7Bgw89xLkbz2G0ptVpMxwO2dvbZW1tjZWVFVrtKeI4odFocPnyKvu9PXH4jcfsscPi4hJTnQ7RKcP62io33HwLmIiq8jSbLYwyKGQwt7O1RTeKsdaxu7eHjiOm5hYYjEaYJKLR6mKtZeXUDYyGIz50553Mz89x/uabGI3H3HDuPGU25NJDD6FMwp133sepM6dptVp0ul2aLQt4ev2LKKVptbr0xkNW1zfY2Nrh/E23ECUpnhEeRZykjIsSrzSD4YhOu8Wg38fWk569fp9Op8PGxgY3n7+ZCxfuZ/XyhkwoP61PYCAQCAQ+3CwuLjIejxkMBgcZAlVV0Wq1WFtbo9vtHmRKgjgch8PhgVMyiqLaWclBsO3ZszdgreW+++7n8uVVpqenqCorwbnGsLu7x9//+5/K7u4uFy9eZGVlhTzP2d/fxVpxfHY6bfb2dgFPt9ulO9ViMBiwfnmTNE35wP95P4sLK5xYWSFNU06snCGOm2xt7VAWJZubm8zNT3Hz+fPs7+9y3713M8pyzpyZQSnNMBmzvblDlmXgHVtbGywsLLKzsy9ZIjpibfUy09OzTE9PYbTI03snk6KR0eA9G+vrtFtN8I52u82DD22yuLCA0oaisjRbLaamplk+cYrLq6sMRyNG4zFLJ1aI45g0TUnihPFwzObmJtPT0/R6fXq9Ae3uFFGUcPbsOUajMTecXWF3dxulNZ2pGRaXTxBFEqDbaOaYSPa3s7vHqVOniOOY8c4OSUPKyWhjOHXDDVjvueODH+KTPvmTiOIUlOG2229n7fIqDzzwANZWXLp8iVtuPs/U1BSVs8zMz7K9vc3Ozg6zs7O0Wi12d3e5//77OXnyJEtLS2xsbEhWieLgmdE6PnC2lmVJVVVYK1JvaZowHmcP/4AGAoFA4FGi6rJjIn1qrcPh0EoTxQlGUzvtbC2T6moHkcJoIxl/vqoz9zRG6QPnoaWe/9caixenJeCclcQQBR6H91YUC+vyZ7r2GmojCnrgUd7irTjtUDFKOXHQaQdesu6U9+Ac3jpcLWmKOZz/jVWEU7XUaS0vqpTCKhk3i1Owzjx0Vibnva77Kg5P7ZgrS4wxNFttkWYdj/FoIhNReYetJEvUK2m/qo8j/Z2J/CqI2K0HNA5Xi6MqyZb0DjBoU4+0lRJVAOdw3qKVOnAmeit/J80mcRJjgShODuRs8XIPqa+E1nJO3hh87TyWLM96/ZG2Shamr9VYxQkrPk5FZAzWVThbYYz4MJz3VNaiIkn8Kp0VR6bWxFFKI0kwCsoipyikf1SVFYWVbM8oaWBMgrf2qX/0P0IJTshHQBuDMRGuslQelImwzmA9VK7CIREIDo3SEU4bKqXZ6w+5tLbOA5cus7qxQeU8UZTQbrdpNFLGgwEmMjSbKVPtFlPdjuhC5wV4DqIxp6dnDzqu1lbEcUIURaAMrpIXizKa0loqZ9FxjI4irPMMRzlJQ5yM43GG9WCihHZ3mrnFZaZmZtAmoqwqslFGMRjhqbWmI43SkolRVCXega0sVTXCO/mi5+MBylmMcpQihSxp4FpjK0flK6qsoLKOaCLjaoxI15aWUZmDd3Udhpw0TTBKs7a6Sl48RJS08B5a7RbNdhOlZsmLEYP+HlOdBs004sH772Zna4BGXvjZaEyj1aDZbDDO+yLDmiiaaROlHXt7O/zt376H9tQ0eSmaz51mE6sc65cvcumB+0BBVhQ4b+m2W6SNhE53itnZZRZrp2MUxTRbbdJGi6os2dvbZ5zlZNkYpSGOE6yVaNk0aTI/t0CWjdnb26fd6jI9NUun02FudoFer0ccGRZmZsE7VBRz6tQZ1tbXabc67PZ2RW+7jnqJwpRpIBAIPCmcWF4iMglRlLC7ty/Z8cWIrY0R3uWcu+EU43zM/v4OuoqxZYaOYXt7E6X2RaZdGbKswDnP5fV1ZmZmuPW259FoKNbXLtFsdzmRNlF6jcXFJTY21omThHanzYJZZGaqQ78/BOeJ45T1tct0O106raYMCrzDGEMjiqmiiP2dXYxRjNKI6c4UZVVSac3szAyXLl7i9JnTbO/s0Gw1ecHzn8/FixfZ2tkmK0rmF5eYnpsVKbKLF9nalOzCRhKxtbHG4uIiczPL7PWH3HvffaycPEWr1cZVJZ3ONGfORFy+eInFxRVajZTNjTX6/R67+z3GVpGkKUmSsLvfxxjDzOwsM7MLzM4v8t73vY+/fvffsnJihdW1TdqpIUqaoMdMzczR74+I4pSisCLTohRTUzMMBgOKsuT06TOMs5z773+Au+6+h3a7TRRFqLKi0WqxtLJMfzhgaWkR6zxTU1MkSUKWZXS7Xaqq4tSpU/R6fdqtNkqB1hACFQOBQODZy4GaEVBVEli7s7NDHMcHTkWlFDs7OxhjmJ+fZ319/SDr0XtPlmUsLy/T6/Wk5nCey2RaPbmlFMzOzuK9Zzwes7e3x9bWDuAxRjMeZ0xPT3HhwgWWl5eYmuoyGg1ZXl6m3W6jtT7Itrx4MafRSBkOB+zt7XDixAniWLO/v8/29janTt1AWY6Jk5j1jXWajY6M14uCZjdmZ2+PudkZlpdX6PX26Q/7dLrTNBot9nbv5qZaKnZvfw8TaxqNJtPT02xtbVNVOd3OFPv7u2TZiG63g7UVeV4QJzGR0bQaKTs7O4yGA+bnZjFG02q1sNbSbLbY2t5hfn6BwWhMs9fn1ltv48GLD7G5ucn6+jq3POcWoiii2Wiys71Nf3cPup5ms8loMCSOG8zPzdNodbj//vuZm5uTTM2ixNqS+YVlxqMMpTwzc3NcvnxZHMLasL2zS5IktDtd+oMhSZIwPz/F9MwsU90per0+//t//w033Xwzq5fXmJ6ZxjtHkiRUlcJ5S1GVKKOI44jhcCj9r0aDqqqYnZ1Fa82FCxdYW1tjPBrRbLVQSjEeZyilybIxCwvzUkcTeS62t3doNBoMhyMaDZGNLcvq6ftSBAKBwLMFpcBIhmBhK4qyII1ikWmNY7z3koFnxVHovMchdZwVEUqLtKqr7EGGm7NWFISUJKJYW2G9RsdGEnHqsbkW7xfKT4JQLBqItMaYiCgSJ5yzlqryVGWBoiKKHCZKKB1ESmO0tMfWNS3xHm8Uqs6+m2QUxsZgQLL8lMc6GTN7ayWpSLytB843bQwGjZ/Up/SeqqpqH0BJv9+n1WoRxWld5zmjciL3KuUdHbZyB9L0tnb0RVFU96s0eCdOPTRKexQa6zzWVpRlSaQNSRITJzHGxERGkpVw6iCjM0oScdomMUmSoiKDA4oiR9XysQqFBqx3uMqBFyULnKYsclxl67qgvpbgjWWcbydOSPFDeCXuWm8tCY44knqOZVnW6pG+dqxKpmdlLdY5tImIk4hGsyHZsM5RFgUVHoypMyflfCwer8Oc/fUITshHwKNAx2gtxWmtN5QV5JWnqDwmgijSYDRx3ESZmKwoWF3f5IGLF1nb3KQ3GNDtdui02/iqIusP6LSatBsNFmammZnqECuwVQ5I3YlG2pB6jZOajloyHuMkqTvKEqFQ1enJZWVxzmMi8e4XZUk1GBHnts409zRbHbrTMyyfPMX80jKtTpeyKhmOM6xXlBNJGRG8PkhHnqRzW+so8oKyqORlU+XEWuotStFYVUc0KLyGqigZjcYopetaGtNo5SmLjEFvn/FwjLUleZ6jtCaNJeNjY3OT1fVNmp0ucZyQFwWdqS6nT59iqTVPWSyQxIo01uzvb7G7s0VZFqiyoiwtblxSugHj8QjwzM3NgIkZDnPW1y6zs7ODVxqH4cZz51i67TZajYiNSw/y4AMPYK0lSVOabalz1W40WZxd4Jbn3s7KydNMTU9R5AVpo4UDNjc26Q8GjMcZcZzQbneJYxmEmEozPT3NwuIim5ub7Pf65EVBq91mph7IdLpdMSpKMx6PaDSbnLnhBnb2dll433tZ39qotacNyiuqqrze4xoIBAKBx8De9h7zc/MsLM1yYmWZ1dVVLq+ugfesXr7IaNBjbn6OqVaHYW/E2tplOu0pGmmHdneGLCtpNKfQXjHOc4psTDQ0NJoRMzNzDId91tbWWVlZ4ezZG9nb25XJtKrEO0c2HlGVEa1mim7GFEUFzpFnY5qNlBPLy/T6PQaDAVEUsby0zHA4Ym93m9VLazSbKdMzU8zMzKGVZjAYsLa6SrvTpipL8mzMTTedY3Z+jour62xsbNDv9zl7+gw33XgjOE+v16Pb6WKaDbY2N9F4FmZnKZxnd2uTqjPF3OwsaIMtKmZn50X6vCqxgI4imq02Jo4YZWN0HNHudiiLkv5gQKPRIk4bfMKLP5H7739Askw6LXrDMbOzUyyeOIkrK3Z2dtjZ3Wdjc4vl5SWxeVrTaDbZ3NyECGZmZzl//maG/SG9Xp/RYIizlijSTHWnsI2EqihIWi2G4zFRFDEzO0ur3aXf71OWJXNzc4BifWOL/f39OjpUSkoEAoFA4NmF956yLA9+Bw6yH0+cOEG/36fX69U1G0c0m80DubajclqmVv3Jsowoiuh2OoBjf79HmqZcvnyZJElQSnH+/HnuuOMOxuOMLBOH5c7OLs5VXL68ytmzN9ConXmSAdnh1KlTMjmoNRsbG3Q6HVZXL6MUB5mZaZpw990f4sTKabSCYTbC6IRGo0WZRPR6PZJGzGg8pt1uScBs0qA/GDLV7fKc5z6XS5cu0+l0GI1GnDpzkvF4hFKadquFQrPf6xGZmMgYOu0WkdH0B/sURUEjbTPV7aC1YnNjg9XVy8zPz7OwsEA2zkgbTXZ2d9nY2mZqeoaiKEiShBtuuIEkSbi0LlmHp0+fptVsctttt/E//+K/45zjxIkT3P/gQ8zOzlNmGa1GSqvVZHt7i8WlJZTyJHFCb2+f+fkFyiJnb3/nYHJ0enoaay15njM/P3+s3mdZlkRRxAs/7hN473vfx97ePsZEDAZDpqY6Mu7e2WYw6PHQxQdZmJ8nTVOZKylLvPf0a0WFxcVF+n0JtNra2mI4GuGcTEi3O220VuR5TpqmbGxssrAwz+nTp1hfX6fdbjEcDmm1mkGSNRAIBJ4EKicSrN662mGnSZIEHUWgNN7VAR9aMxn0Ka1FzdB7nHdSwkzXKod1NqXHYyKNtxXOebw2WFvhiwxxvknijqGuieg9ZWVRXmGimCSJMZHo2OXOSSae9uDVQQCTeOEc3jupDaKkhqK1lThBjQIjEqcohUPhrauTg+rait5T2fJAM8/VGZqSEVjXWpRkQimtZiI8vk5ysgfXy6Moigxdy43GkfR5DvpQStyAIgMLeE8UR2hrqfBYfygT651kNpooxtTOuKos6qxOcexqozHaoFFU3jMRo7XO4kqpRVnfpFq5yE00Xw9qfSrvRP7WyiBeecmC9NZRugKn5Kpoo+s6kHUtS63q64G0wSiwUNqKqrJEUYz18jw4NJXzJJEhTpuoKJI6lZIuK4pMcUzlxS/jlUZFoN0RCdvAMYIT8hFwHpxTWGLwUFlPYRWlgwp58IxRaOUZZTlZMWJnb4+HLq+ytbNHWVlxJiJFh6oio5mmnFpaZGl2jm6rRaQhG/ZRHtK0QbfdlFToyjIej+tIAitf1ChCmwhrc6yTKA55CVmUlqxNrY04J/O8dpRG4rxsSh2l7uwc7alpTBIz6lfkZUVuJYsSkCiEKKaugFu/rDQ6MXjrUV7hXAU+Io41iVEYrYiASEvdxkkqvK0qojim2WwyPz9HM01xVcFWHLONJRsNybMM7xxlWaKjlHa7zdKix2vY3N7m0uVVTpw8wU033cDc3AxSy70CI/encg5lYozR9YsChlnOKM/wSlFUJQaobEGeZYyzMWVlSdMO+WhIkY1IIo1RFuVLfFWikwhflVivaCQN0jil256ikbYY9Mf0en1m5xRewdbWFmvra1TWcuO5G1lanqfb7ZBlOYPBgFa7TavV4vLqKts7O6AURSm1Hyd1Rrxz+LJkNBwRJTGnz5xmlI04efo0d91zN5Ut63T0+mUcCAQCgSfMhbvvxZxX2LKk0+kw050ijWL+5u/+luFoSDkek41GnFhe4fSpE6RJk3vvvZ+q8tx0/laarSmMgW6nQ1qkbG5usr2zwWC0R7cRY6IEVEVZVeRFweLiEmVZsrW1Wdch3sBay003nhcpEK2YnurS6/XY2tygyLMDG2Grin5vgPee2dk5/FSXjY1V9vd6OOvpdDp0Oh3W19fRWnHb7bdx+fJlwDM7N4OKEtbWNynLktXVVQDanTbbW9vs7mxz00038+D+/ezv7sqkaKNBu9HkgQcepNNIKfISvNSLmJmZBm9Bw+rqZUpnGY8GRElS16JwRIn0KayriFSMMYZWu8PyygkWF+fRyjIeD+nt7WOrgk6dubi1tcH6xgaRNszNi2pAnEQMswEXH3qQJElpt7s0kpSF+QUuX77E2upFhsMey4vzmEhz6eJDtNpNev0eWmtmZ+eYnplmMBgw6A9ptlqcueE0/f/TOxiEBgKBQODZybXe8XEcMz09fZCxppSi1+uRZdnBsgntdpuiKA6i/8uyZGp6moX5Wd73vvfjnGVjY5MzZ06ztLTE2tpaXX+5YmZmhl6vT1WVjMcjZmZmaLdbXLp0mTwv6HQ69Pt9kRj1nsXFRe677162t7dpd9tsb28TRRGnT58mSVI+8IEPsr+/z2AwYH5+EWcNU1Nd0kbCcLXHeDxmPB4xHo8pipzp6TmKoiLLCrrdDkmaMhyOSNKY3d1tiqLk/PlbQBuqyrG4sMDq5TWctQdBtdZakiSm3++htaLVbDA3J1KlvV6PTqdDURZ4PHlRUFrL7c97Hnd96E6GwwHd6Wnm5ubYH/ZBKfb29tjf2ydNkjobVaTRDbC1vs6ZszeQj0acWF7k7nvuZWqqi1KKshQn7fLyCmWRUdmC4VCcgzu7uwcKCVEU0Wg0DmT3tJZ6YM4rlpZWmJ+bpZGmbG6uMRwMJHA4Mpw4cYKHHirY2d2hkTYoKsv8/DxlWdJoNLh06RIzMzOSbdluc+7cOe677z4uXbokfbPpKTqdDmtr60xPS33RixcvcerUSWZmZtjf38cYQ5blT/1DHwgEAh8FGG3Q2uCVJlaKuLYBWpuJDwulNUaLdKiKjEiFeiSLsKolXJ1HGfHWiaSpQ2kjTjHlUUoyCsvCE8Up3jkUmshovEbm61WEjhRRpKV8mrNUtqwTm0B5g/xyWOdR2lg7IlHgFdbKXLiStL1aChUqhyg0lqWoOCBON13vaCJDeiidWiv+1NK0cZyg8BR5duDci6JIyr1pQ2pt3T4pvybt8sTGoLQ6dAgqjTZy7hakJiW1oxNPu+7/VGUhan6ANhrv3UEbtVIYrSXAy/va0SvStb4+jkHX5+DQ3sn98l7arJTcj9ohGenaqVnXr3RKMjbTNKWsJDHL1zU0JzUhy7IgihOiWMqoOe/xvhCFCxRJmuBdC6UVrTSh0WyicFRlgdcGbyK59wZs6cUR6S3GKUofMiGvR3BCPgIOhcUQKXlQnfOU3uOUAiNazbmzOFfRH2esbW5xaXWdvf0+zoHWhkaa4iuLzXIaRjHXabE0PcWJpSWROBkNsdZikC9iEkudpfF4TOU9cZyQJCm5BQvYsqAqRapMG0NRiCxsbDQ6jlBRhPKGsvKgPUkUY5IUdISKYuK0QWEdRX/Ifq/PMMuweUEMYJ3kKBuH8iI7O4kGVRMd5yjGOyMvLaOJYy31HZVCI/rPGokY1UpLoWDnaLfatFpNvC0Y9HsiP1tHJpZVVddvUjRaLZqtJsOsx0OX9hgMtlF6CR1BbjOKMmM8GlJVOb3+AHREEhuUc0Q6xbmKPBvilSFKFeNsTGUryjIHL9EptiiwesRwsMvWxiUacUw2GlAVOViHLQpKNFHSoBE3iE0KPqYqYTAY09sfECcp1jkuXXqI9Y0N4iTi3I030Ok0mJnpMhqlMunaah1Ez06cjv1+vy5OL8twnjLPqKqKueYc8/OLrAwGLC+vEEVRPRhWh4WUA4FAIPCEWVlcYe3SGvffez8nT54gaSR0p6a45aabuXjxIcqqohknbG1ssLSwQKeTsrg4x/zCMpcuPcD07AKNRofSFXS6U5y76TSD4ZD19TW2dvo4a2m1mihlGI9HRFHEmTNnKMqczc0NOq0mnakOG+uXueHUOZyFZrNJVeTkWcZo0KcqS8qyIklE6rQoCnp5htGepYVltre3ufvuu9FaceNN51hZWeHipYtsbW2RpBHr66tUtiJtz5KmUp+o3W4DsL+/TxQbGo2U++65mxPLy2xubTIc9JmanePcjTcz03ouDzx0GaVjZmdmyXKRtFPac/bGG0mbKZfXVilGQypb1FK180xPS73LoijpdqdotVqsrCyJrI2rMAZMbGi125RFxmg4Ym93l2azSRRFjMdDVldXmZ7uMj8/j9Yt2o0Gg8GQna0NIhORjyVjdLrTAVfinSWNG5xYWWG/v8/8/Lz0NYqKoigo6xoYcZxw9uxZkYdb2willgOBQOCjiIls6r333svy8nJdk7CHc44syw4muSY1IaMoOqgLKTX/RHng3NkzTE112dvbByq89+zt7ZHnOd1ulyRJOH36NMYYHnjgAmVZUlYl1lU891aRRb37njuZmZlBXRKZtJtuuon5hTl6vQHzCwvkeU6el0xPzzAajbnttlspC8fa+iplZWk2OkSRYWZujpOnT7C1vcVwOGJjYxPvHWfPnqW/v0+vN6DbneLEiRNcvnyJNE3odqXtWZYxN7tUBxF7Ot0OZVnQ6/UZDMTx2G63wFs2N3fQ2rBy8gTOOT70oQ+xu7vL9NQMN990C84rtNasr20SxzGbm5s4pF5XkiQkacrMzAyD/oAHH3zwIItya3ODE0vL3H3PPeAtZ86dY2FpifFoxNrli6ysnMTbinajST4WmfXl5ROMsoytrS1arQ77vT4zMzOM8xJrHfv7+zQaDRYWFihLy9zcPM1mm2azwe72FidOnmIw6ONswerqJTa3t1lYWGBtbQ3rHGtra7TbbWZmpJb3wsIC+/v7AIzHY1GS6HYBMEZLrcskodsdkuc5p06dZDQas7YmWZB5ntNsNhkOR0/Tkx8IBALPLqIowUSReNuMBmdqx1UdfKQ1RkUYDVYDTlSHvLMiUwqUlSR8eCS5xiuF8lILUeRNJQtP1fP11pV4NKqCWMdopfHKo40SZ51S2Lq24CR4BjTKSDahKB2qg59eidMMZM49SSS5RhI3PUqOhi1LbCW1LSfn5+HA8aYQp6xIxWqsd4gBriVTlTgqnYcoiuXvKMIrjXdOpMfLyZi5OKidKbKntU+ASXs8yjlwFuXdQT1LBSSxZEBGaiKFW1FVnsLmxLEhNhFORWBkX7aWyQWNUocuKl9XmTxcICXKsBbrLLYqKbOMsixwVUmEllItWqMjQ6w1ppZznWRCei11JPGS6GUiX18XqYlZRhYwpElMmiTyr5ESG0MUGWxVgrPoNCHSIi1rcVgtviPvFbZ2MgeuTXBCPgLOg3UKqzRKGZwSx574ghx5NWY83mc07LGxtcf23j69Xh9UTLMlkqquqoiVotNKmOm0mZ+eIlaKIs9ReIxRNNIGyttaUuQwNdw4h9YRSZpQZYcvHKXF+Wedo7IeZTTamDpz06NU/ZVVpvbuJ2gToYwhKwp6ozF7gwGjcS7OTO8k9bwq8VqReIeOYsm0tE40pq3DlraOZpBr4JzFOaSArwJXVeTjEd5LhuakxsXu7i5VdTex0VhbMhr0ycYjtNLEaYNxtsf2zg5Jf8SZMzcwOzPH/mCTKILp2Q74invvuwuPYmNtjd3tLbx3RFrRbqRoRMdZKyP1LKMcogjjXV3X0zAVxzQabYxO6PcHlGVJNhxw3z1304gNZVEQG4W1oD0kJqLV7BCpiP2dfe6++146U9sUVc5wOGS/3yMvch586EH29vaIEsODD15gaqpFXmTgI4yJKMuSvb09er0eZVmys7PD/fffT6fTodvt1rVEJJPUGIOJIjxSF3RxcZH5+QWc26AoCqnTGYrcBgKBwJOC9poTSysMBj36e/vEacKg16c7PUUzbXDm1AJLS8tsbG2yvb3JOBuT5RnNVoOVJGVcWNJGxDjrM86HLCwvMj3bwUTL9Hf7DPsDsizHdR2zs7Nsbm4wHA6ITESzIYEqaRqT+4IHH3yQkydP1ROau0TtFq2WOAsvXrzEcDik0+kwOztLVZXs7W4xHA4ZDofs7e0xvzAvDrbI0Om0uXDhAi/+xI9nPB6zs7tLy0ZMTU2xurrK9vY2J06cYKrbJRuOiE3EfjZmY3OdpaUlBv0+u1ub4CyNZpvF2Vk2trbZ392lOzNDWVQMRn2WVxZptjq0Wm1MLBOP4/GYIh8zGsqALzKabDTEVhWNVByMHk/USlFaoiidq5iZnaHVSiUrYTzG2gKrYDgcsLW1wamTK/T7fdK0QavZqGtVV9hSoZQnjg2Dfp/9/V2M0TRaLcqqwjpLZBLiJJHApyQGr1DGcuPNN7G7t0eRFY/wpAQCgUDgI5XryavOzs5y++23s729zfve9z7yPD/YxtbjrU6nw8zMDHmes7CwwPb2NsPhkEajUddzlEBT5yzb29ucP3++ro/Y5Ny5c+zs7HD+/HlmZ2d417veRaOZsLOzjdaKxcXFOlCmkKCgKOK+++5Da81NN97E7Pw8u7u7RFHE9vYOvV6P22+/nb29HkbHJElEHBu2dzaZmpmi2WzU0q2GvvOMRiPKUmoZrq2tsrq6iveWNE3RWtUOsy5ra2vMzy0zOzvDpUuXaDRSZmamUUqxv79LUVRMz0wxOz3L3NwcW1tbXLp4kSzP0VqTZRk337zAOBvTarV44IEHuPXWW9nZ0uzt7VFV1UEtzbKurdhopKRpShRFZNkY7WF2aoZTJ1ZY3Vin1Wmx19tlbmGR9bXLZOMh7XYX7TWDXl+yKJVMOM7NzVEUxcF9KoriIHh6Evwbxym7u3vEcSwTyWai3FTRabc5ceIkW1sbOFsSxxHeSwbsBz/4Qc6fP0+v18MYQ7PZPNi/1pq1tTUJ0naOBx98kGazyeysBGHt7+/XWZMter0+aSqBZO12mzwP/Y5AIBB4oihdO/WUx1uRHr3afSV/W++onMVVFb6qsLbCVZLQI7UiPcrL78q7unZhnZnnLXEck6SJJPHUfYQkEoeXqh1PztVZjtI4lImobIXWBqM1WhmUMrUsaJ1hqEVKlTpDME5SHJP6jtWBLGlVVXgnc8eKq2NoPfXCWu5UobGVKAdW9fmKulJZS5HqA3l65xyJiXBliStLfH1+SkkCz+QqTmpCeqUoq0wciLVDd9KmfDwiNpokjtB48nFGlo/JqxxoYJTGe6nT6aw9kGPFGwwKV5eTk2slthYnTj7nHK4sKYocV4pDsCoryjynnNSrTBKSSGp+2zyXDFBt6vor4hy21oKtMLqk1BqvnNS8RObhW62WXN86WxTkPJ1SoI1kwxpNVZaAR0cREeBVJDKtVZizvx7BCfkIlA6yssJrKRpbWtGDFi+8ZZTlbO3usbOzxcbmFtaCMhFJ0iCJE4zWoGNacUyrkTDV7tBptcB5stGINE0wKkJFDqNjGmkiGs5eUqCdpdZglheZrdO+4zQRbeeiJIoQvWsUVWXxvsBECcbIBGcUR6Rpg7TRpNlokpcVe70B2zu7VM7RbDaJI01Zp4vjFDoSx533kOcZCo2ulaaTOCI2GufAliIn4pC6lNloRDEeIVl7ktad25z9/X0uXVwlzzOKfEyaRMxOdeh22tiqqvcNRT5mb2+HyuUMBz2S2NBtt9jd3WZ9Yw2UYX+/x/raKkkc8bzbb+fEqTOM+oNaQk4CYExVoJTItEQmpdlsMDU1xdLSSdKkwfb2NhcvPcRoOGRnewuDxyiDtY5Go02z0WJ2Zp6p2QXKyrHb67OxcydR0sApi3eO6ZkuHsv+zhaDYR+vPPdfuJdGGpONMxbmV2i3OowGAzY2NhgPh7QaDfr9AVubm1RFiVZaajx6T6fVotPpHEgFdLodbr75Zp7//Ofz/ve/j9XVywfZk4FAIBB44uzt7eGdZXp2imhk2NraYGFhkUG/x3icYbRhdnqOs2fOsjfYY3V1jUazw6VLl5ieXSAyKWvr65w6fYYkTen3e+RFQSNNWVhapt2dot/bZ3u/x+L8PHPziwwG+/T6PZaWlvC+YnV1lXa7g7eKB+6/wLDfI4pjTqycxHnY2d5mqtulPxhy6dIlut0uZ86cZvnECvdfuEBlLWfP3Uij0WB7Z5+Z2SlmZmbp9fb5m7/5G5773OeSJDGuKmlOTdFtt9nb3WbY7zHVmeL0yZOURYnysLa+Tmz2WZifl+yL8RjnPNkoZ6rTYb83YPXSRU6fvYGO6lDkJXleMDszR2WbbG1tEpuIZrMlQU0eup02jbTJ9vYOG3t7zM1JraXhcISvoxMHw4w0NhgttTQ3yw3m5hYos5ytrU0aSZP77r1Ao5Ggpw3ZOKPdahMlRrI2u13KckyVa2bm5rDO0h+NpP6HB6UkcyVOJAgpjhNarRbnb76Zvb097rzjTrwNMYuBQCDwbORKOVaRKZNlDz30EHEcMzU1xcbGxrHt0jRlaWnpIKug1Wqxvr5OksQkScI4y7j5/M30/7ZPWRZUVUVZliwsLLCxscFzn/tcqqrijjvu4Pz5m1hcnGdnZ5eqytnf79FqtpidnWN7a5s8L5ibm+fiQxdpNBssLS4zMzNDHCdcunSRXq/H4uIia2sbtNtdRsMxzsHS4gpRlLG+cZnu7AzNdruWXYthR7G3v0/n1ClmZmZZXb1MHGnOnDnD6uWLrK2uMjc3z3g44qEHH2CqO02702Fp6QQbmxuMRiM6rTbD0YDLFy/SatxMt9shTRNsZYlrB2C322V3d5eTp07y4EMPUJY5F+67h5MnVtjb35FMDqNFIcl5Im2oUNK32t4hihKRca1K4iQmTRPKsqB0FetraywvL7O+vk50IqbTnmJqagprLZtbmyzMz7O1vU1VlsRJQpqmZOMxzWaTlZUV+r0eO9vbtFodpqfnyPOCPN+m2UjZ2dnCO0u/P6TZbNDpTLGzs8XyygkeevAhQCad3//+93PDDTdQFJIZ0mq16Pf7aK1FCnZnh+npaWamp9jf36fX6x3I9k6yIyf1VLTWNBrph+OxDwQCgWc9WmsiE+O9w3pxGIoDEHHiOalX6KQco9RutJJYI3UkZYyIcniktqPUWARtkXJf1mN9SUyDJI7Ick3lJTnIo9E6QitF5Wyd1Wclc7B2NBZlhZR1VGgTgRJZVm+MTF6rul4lHGRfKi+luLy1OG/x3qGOOCBRkv04SWiZ/FRapFK1MSLZqjVKG5Sq55G9x2g9KY9Z67WKNKwtC7xzaIXInXovZcPq40yOgdcYBVlZiPO2rgeptGRalkWBNxpjqBNopORMI01ppg2iKJKMy7KgKEuSNMVPgsWQ8m/K17/Xsq0i1CoO1TIvKMYjnK0k89F73KR2p3cHfozKVlRFgWpLwpQCrHeUVSWZnnVGZewdxjhRUjQi12u0pshznHO0Wy289wxHAxzga3lbZyf+GUApIq1BGzwaR5i3vx7BCfkIGJ1QeIP3mjRJKVRFVuTs9fps93bZ2t1md3+HosipiEma8sVqpimRNhgFiY7otlpMddt0G02SSKIgmnFKpKK61mNCZAxRXMucxhO5Mw21PrHRhtjEoJTUpixLysrRSJsoE2Gdp6wcJoppNtuYpEGSNmh22rS60yTNNoOsZNzbptfvk2U5jUYDjSJSGpNqVFxrKOtJ3UdP5Uo5p6RJhMKWFdaWZMUYbwsq56mKjERptIdIxxhtQGnKQtLPExPRnYJqJ6PX32duekq+zNYx7O9T5DntRkxlLZtrD3LxoQIiRWkrDOCKkt7uLlleUFlPI2mwuLjE3/t7n87M7Ax/87/fjVO7dKc6tJpN3KZnb3/Azu6I+dlZFuZOcNvtt7G0uMziwiIfvOMDjMY9RuN+XaA4RqmYme4UUdwgbbZYWDnFc2+7lawquOvuC6yv91DK0mqlFMWQjQfvYZwNsN7SiQw6iqlGA7ZWL9OIY1KTsLl6me2dXfo9kZ9tpTGNeBbnHOPhgK1KakwopSjzjDRNUMoz7O+TFxm3334rJlZ4Zdnd32Zvfx+pBBoIBAKBJ4qLFL28x2BzD63B6ZyNnUukaQtb+VqKbMzcwgpzCw2anVk2t3YprcK5mCwr6XbmKHPIszGzC/8/e3/aJMmVZmeCz910td33WBARQC5IVmWTbHaTTeEIZb70v24ZkR6OdBWLw6WyckMigdh9d9vNdLtLf7jqniSH1TkyVcMkIXYgLgFAwt3N1EzV9N7znvNMY7WX9UxPhxRZwvBoyma9YblYIn1gODqibi1V0zKdDHn+4jl3tzfkMsdax269pCgGrJdzEJJEK3SRk6Up+7xgu93xzTffIk1gs91w/vw5p2dnfPfddzjvubtfIqXg5RdvuLz8yOfPnzk9PcXbhoerT8wmE6blMy4vL3FNw4vnX9B2luFghpIFNzd3wI7h8Iimq/HeM54OqZqGPE9QRvHh/VtmsyOGw2NWy1XPaSxQMqGzHft9hZSernXYztOKjtFoBMB8/oBSGmMytIpJjkRmtFWHUdD6junoFNu27LoNJ0cJITiOJkfc3d5wf3PHbDql2u3Y73cMhgWr9QKlNJvdlrzMef7yBc+0YbFYcHtzS9O0XJydQwhkJu3TLrE6ZljkpEnyxGh6XI9JJXoexp/u/XnQQQcddNDfvx5Tcvf399R1zcuXL8nzvGcVxVYhJQVNU7NZL9FaUxRF5BB2HVpLtts1yiQo6zBpSlU3bHd7yp7xOBwO+s87gbMtD3d3zMZTBnnBze0tq4cVbdHGFiQXqKua+d08VruFP2xqTiYTbOdYrTZolSPJcJ1kMj5Ga818Pufs7JTL2xvCXnP+7IKwg/PxM7KiZPHwwPxhzmg4oMhybNeSJSnnp2fcXF1B5ymSFKylrSrGwyGfP74nTbO4VzGeYlTCXu/4/vvv0VqzXm/4yU++psgLfvXrXxEc1PuK+9sbzk5muG7Pfr9kVw9QRnL/cMPJySlH0wnLxZrbq1u+ePkFVVXx6tWXdK3j7u6W+WbBdDZlMB6wrfa8ev2Gh4c5ynuGowkfP3/mzeuMIi94eLinLEqMlozKAUWasdvtYmojxA1UGQJ5kmLLAcvFCqMSuq6jKAp2XYtE4oVCSElVt5SDUdxLUYrJ7JREC9q6gQCfP37i7OyMuqrZrGIN63oZGY/Vbs9sMuH8/JyXL1/y8eNHqqqirmt+8pOfcHt7y2w2Y7lckmUZ+/2hjvWggw466O9FXhD6lBwiJgt9CDjvkEQ8Gn3iLqYLJaBwrgPnooHnPVoLwOOti4ZkCHReYH00MI1SeG+p6zru22uDVIaAoXEyGnRKkBpF2wYCgSTJCASqxhHQIBNQBiEkHrAIpIhJTkIAbwk24F33ZPpJHlmPEqmiSRp86LOdoq9X9ZEzKUT8uc5jfTTBYg2rxBiNDA7r4z1MNC7j840/SyJl/HmP/3hP/+WfGiUirq5fI/uOrmlAxKFi5+Lh7bqGzkaWo7VdTGCGyOK2bRu5ls7G36o01lukTjBKoVQM5Egf+ZghBISHpE+QBh/v0ayNVbBJogmpJpCAj687Kj7SEDxaKwKud6AB7whdi+860jzDpAmEQFVtCEiMSWN9rbNIAh6J849tk33VLwJpTPRqbEySKqnQSj9h2PwhCfm36mBC/hF1ztJYC9pgm4aqqlgs58zXKxarJfPVkm21JwBJkqHE45tPkyhNohXjwYDpaMxkNCQ1JnY1C0GqDVrKfvICpBQoJenaBqXi/5dKkiQJgvhGDiFyKZ31BE/fKa3QyqCUQKrIkDRpSpJlJFlGXhSYNMOFwH6/Y7tv2VcV3nvSfrrCioB3gTQzSKWwfSRbKkWWZRRZTpFm+M7RNjX7/Q6HRYY4UhAeAb4hEIQCGevWghCkaU4xLAnBIUWsn31+esrzZxc0dcVuu4oTLFIhlWVXbamqfZwWUQpjDFoqMpNEnqMPhCzn7Oyc8XiCtY7OOkbjEV9++YYQAg/zOZvNDiUNs9kJF89ecnx0xtnpOXmeczSbIUScxsAr8JJEZWRZiUlzZkfHnJ6dcfHsAi8Du6qi6wKT8ZTJaMDtzWcerj+wmt8xHo9IdUJWxOPtrWVx94DrPIvFgvv7B7zzHB0dcXJyymg0QQjB9fUNm9Uao+LEp3UddV3F2LizbLYbikHJz//8z/jLv/g/yLKMvJ8SPeiggw466O+u6fEx1u1ZLu7xvmG/3zIohzjf0TSOPPPUTc37d+959uVLisGQdFNjTM5sdoTtAlXdsdvuaLs21qFlBa1tWW3W5GWJUjnlYIgQiraquby6JtGSNCnYbPZ0XcVwOKbbNqRpSp4XkQvpHNa2EATHxydoY3h4WJCkKWmW8h/+5t+hTKxZb1uHUgl5EfkOdb2nrtvItAqO1WrF6fEZdV3T1Pv4e7Is1qNXO7JsgHeS8XhK8Jr1ZoVdb5gdjdhut8yXc6bTGev1pmcmCFbLOc51GJNQ13uKckZRDGIdq7JPAzar1YrdbkdRFBwdHWGMYblcIbGkJmW/3aOkJDUJ2+2G0XCAt5FdMRgMaZqW9WZBpjXHR0e03ZC2rdls1k/3TVVVIYRgMBhQ1w3XV9cMJlOKouCnP/0pnz594ur6irI/tkpKrLVsNhvevHnDu3cfaNsmmo+SuIg6uI8HHXTQQT9IKaWe+HxJknB5eclutyPO2ceNNufi0GfTtE+1a/FzIeBcTE4sFgvKwSAaj9st1nn+w3/4D/zsZz8jTROkFBwfnyGAz58+8ub1l8znLdPJlH2y5+bmhizLCAGKomDbJ/JOjk/wznF9dc2XP/oRSZKgdcLZ2TPyrOjZlIHtdkeWpTRtw2w24W69ZrvbURYlAkmSZpwcn3F9ecl2c02RpUghuLu9Yzwa9J/fNeVgwGw2IyAim7ko2e/2vHr1mvVmTdtZZsdHvH33LZ8vP/Pm9RuU0iyWK7Is5+jomLqpI+qkaUlSw2a7xRiF0vIpaRG8AwKir5bTSlNVNcfHJ9R1TVVvSKuE0WTE6vMVVbV/YnFKZSjznOuba85Oz6jbhmGeMR6NCT7w+fNnptMpSZKw3W5jfapUlGVJCAFnLYv5AxfPnrFer9FKkuc5292GumoZDgfUVY3Wuk8r5jT7LUmScHx0xHg04v7+HoivVVVVNE2DUoqiKNDacHt7y/HxMS9fvuxRLBvevn3LZDIhhMBwOKSu6/+q7/WDDjrooB+ybNfRPppqIjxWCvbpwVgfio/1m/IpItk3nBKQIaCVwmgNwdP52AJE9MDiXn1/axC8x3YdSZoRevaiUjHFGILvsVoB0bcnCBlrv5XJkEohpEFIjVCyryQl/vdjCrI3FUOIZbJSRJNSKYUUIHH44PEiVsf23asoISOWLUTDMDymHEXfCPREKAz9xr2LzaR9ctD7yHh0wcW/G0JMDkoii5JoDLoQIDiCA0tEuXnXEbtS+2SmEjjXYruOzsZkpdIarTQigLUdUsbglNIKoSKKTCqJkDK+XMSmRQCF5JF++XhMELF2VQVBkhi01uR5BiL0hqnEBeicQ4ZYoyp838YQ4muqdOREeh8QUqCNIQQRXz8JbVtH41fLaOiGENmh0D9OgdCGNCtiNax3WO/RJhqR2h+CQ3+bDibkH9FyveLj509oqfDWsq227PcV692WXV1RtzUeyLKMQV6SZxlpkpImCUWaUmYZZ8fHTMcjBkXZX7iaWEWSpCTGoHuOgPMW38fBlVIYEzkHxhgAGt/GPmcfcAGEVChJj4YVkX0oiDtoIvIihVIkeU5RlrTO0/gaYzRZSKNxmiYEoG1bfNcgQ4FKYn2IULLvvU5J01gv65WlbjRBCqp9g5aCIk3JswIRAl3VsKs2ZGmGSRKE1NRNRbtaAZ6qqSN/YjRiMBySZgmzoyPW6zVt1xKCpCiHCKUIQmKdpWlb8J4sTeMFPwiWyxUP9/f8zV//grZrubu946c//oKLiwsuLy95mM9Zbda8/uIVf/7zn3N6cooQgvv7e5bLJTc3lwQfSNOM4DuwYJRBKcXZyTEXz59zfDwjSQyNbWnbmuBapLCE0GG7BiUFo8GAyXhMORqR5iVBalznuL254d2Hd1R1TfCewWAUE4wiUBQ5RVHivefu7qGfcoGiKJ9e6xA8PsQJnN12H9OkvRn9n3d/H3TQQQcd9P+bTk7PSFPJ7viIqtrw8eN7sizBO8FwOESIwHq14PnLIff3d6RZybNnF7RN4ObmipOTC8ajIQjJ7d0td3d3DIdD8qJgX1VY59BTjZKKRCeMT8aMBgPWyyVlntK1FfP5PYMyxyUt282WXVNhshzvHM57EpPysFj0iyeN0ortfsdwNOb07JThcITtPGmaUdcVJycnKKW4ublCSEFRlHz+/IlER/5S0zR9tXck1N/e3TIeWbJswNHxEcPRlKurz6zWN8znc46OjrifL2iami++eEXTdgzHQ6RQXN1e99OVcZPQGNMvyOLG3yPv6fb2luVyyWg0IkkSRqMhRhlWyxWzoxkiwG63I88TmnpPnudkWY4A0tRgEvjw9vdICYNBSZoadrst3juqKjKopJS0bctut2N2fESaJGy2G1rTcnJyQpHnXH76TAiB46Ojp/fAdrvlZz/7Kf/qX/3FH2pmeuZF34hz0EEHHXTQD0jOObTWNE3D/f09SsUmojhPGy/6j9f/7XbHcBgHbPb7iiQxhACnp6dcPHuGc47JZML19TVSCoQQTKdTILBczJnP54Tgn9oAptPpEx/RGPN03xBCIM+zmBSwltFoRGstHz9+5PzsAmNy1qsVw8Eospu3254VXbLdbCmHZfzc22wwOkEGT6INeTlCCcV+s2Y6HbHfbbi+viLJCs7OLri9u0FIEavk8wLhfN/KpPnt776J90JSst/vCQj+8T/+JzgXNxWbtiNNc4TUHB+f8PnyI953TCZjPl9esVzGFKn3nvl8TttE/uJmvWOxWDIcDmPKdDplPr/H7nbs91uUUggC2+2G2ewYbQwgSJKMD58+c3n1mdl0ivc21ur3Fal5nmOMIYTAer1mv98/1aLGezrFZv1YOV+zWi1iVapWeO8w2jCbTft61RG//fieLEufzOpHExLojWHN3d3dU0pkMpmyWq2eeFIXF+d8/nxJWZZMp1PKsuT6+prNZvMneNcfdNBBB/3w5IKLqUb5WGfaB2O8I8QIG8F7vHOoNA7rxsRfn54ElJLxc8Y7OuonY8roJBp0HpTUGG0iV1gKfHB4L1BBxH15JSMLMIBONUYnuBCwTYNJs5gtVAq07g1J1bcuyN4bDEghYqMgPBluj0xEIULkDIrIaRM9ADIQmx3wMSEZj4Hoq1lFNN3CH6pVve0IWuJCNOxa67AuHgkVXDQ+ZUxeCh4rbG0057xHBA/B44JFBY8LfY2tjZWxeBnRbV1MEwohnviQw+GYtutw3qNMPA4uBLRJ4rGRktCbsD6+QEgR8MLTBfAigFEkWeRa266JVbnCRS9Ei8jBDOBtF81bpZ/qah8NWqXUH3B2zqOEJslStDZ4wNnAvqlI0gwloW5bIGC9i9XyUiJUPO5JmhL2UNc1LgBKodIEfdhA+Ft1MCH/iBbrBW/fv43A1K6j67p44oRo8GljyLOU4WDIKB/26YKcYVEwKEsGRc7RZBK7j6XANg0+KJx3tJ1DyJg89DiarsW2LXkaQetSxIuS0QoCNEIQQh/1lqJPDmqcB4TCBxl7kD04FxhMB5SjEcPRmKQoEa2lDWASQeYiIF5rjbMdbd1i65YqRGZDEJAVBUZr0jSN1SY+XvRMmpCXBVUTE6A6zSnGE7q6Yb2psCgaD1ppknLArm1Zrpdstyu8a8nShMVmhdKSxBiENiAVXsSLqElSpIlTI3VT411A5pKyUHhgu9uhlaKrat5+9y2r9YamrhgNEpLE8PHjRx4eHkizjOdfvOTi4gKB4NPHj6zXa+7v73G+pbMWgUArRZ4XZElB8KC0QGlB01RcXV/S2o7ddsN+v8DbPcu5YbWYY7Tk2cUZxWDEeDJBJxm19ez2Nft9zcP8DoDRaMRgmKO0oOtamqYCoCwHNE3HbrdHKUXqDSJAWzekecKwHGC72HM9HAzI87z/8Dhc0A466KCD/j7U1JY0LUjSAqUVs9meq8tPgGA80uRZSds13Nxc8Q//p/+ZxXLN8mHO7PiUPC/ZbTZMjzIGg5IQjliulizuH7gLd3zx49dUdcPlp08oYRiUQ7TSDMoRuclYzOeYZMCPvjpls1mxsg+UozHr9ZqbfqPr4lnkQqZ5St3EqjfnXF8nVjKdHmF0gtWei4ucd+/e0XWOyXiGUpLtbkNV7UhMzqcPHzk9PSXJ0qcqsOOTU9rWMV8sMKZiNhUonTCdTdnX9+x3e+p6H+9fvOXy8hPPn78AIeisxShACOp6T9PV/SafwLuOutohRUArwWQ8pOtiHUvdNHEDUwom0xFtUzEaDVGqYLNa4VzLft/21SaSNMtIE83saILtWqztnjhLo9GQm5sbhIThcMD5+Tm3t7fMH+aoJCXLYupxuVwiAjx79oy7uzvef/hAnmUkSeRmTSYTZrMR8/mqX7jFe6nD+uGggw466Icn91jBFgJ5nqO1pqoqtJZPhlIIASkFznk2my15npKmCc+ePWO1WnF8fMx0MkFpzXKx4Pj4mP0uGmjL5ZLJeMR+v8d7z3BQxj2Etu2Tj7FmbTabsVgsWK03JEY/mYtt26K1YXZ0xPXtLXVdMxgMsdazXq958+YNxhiqqqKqKubzB57pZ8yOj3lYLLm5uqXISkbDMc55zk7PuOosm/We46MTirzkw4d3DEclOslo2pbt3S3n5xcMBkO2mx1ZljGdjrm8vEIISdd1jMcTXrx4yWazxbmAQJGmhjTJSdOE1WpF3exZrbYQJIv5nMlkQtd2eA9lOWQymbDd7Hl4eOgbDEY478nyjIdFy3A0oGkqstRwfxdrTNNEo03Czc0tRWborGO1mlOkCZPJhMvLS7TWpKmhrmu8twyHJW3bUlU7qioOaNV1HFaytiXLUqwtWa9XVNWe4XDAvtqjjcIYzWq54OLinNVqFRnZTcPp6SlN03B5ecnJyQnHx8fsdrv+d7qn99N+v2e9XpNlGePxiM+fL6mqKm5YJglte2g1Ouiggw76e5HwID3RtovDRI91msFaxB8ighA0ElBCYpTC9oaa0jG9FgQIrZBeRbQaGtGzJqXUJCYhzTKqpqZzDkSHkJ5UZyhjqLsAQpGmKcak+KYliMgrjszDyGwMMhqWSvzHCcWeHPzIRgwxeSi8p+u6aPAFG43JpzZFiUDg+slZKQU8GojikcMca0sfq1G7rkPLGHyx1tK2XRxO9oFEhmim9klO6NOSzuJ7Ixf6pGJHDFTJWFXa9bWrQqt4j+M6tAgYY0iNQkrYrte0bUeQgnwAicoQMu4pEBxBSoJUhP5gJMY8pS9jHWoArZDGIIMn2DaymtvYtlgUBVLT19NGP0IqjRd9wtJ7kPHYKAW1j3xIOo9DktAfUwFdsCji861tHQNMSRr5lP3PkFphtELZDuUcwXuENkhtkMkhCfm36WBC/hHVTcV8Ocd1Hd5GOLk2CUVWUg4HJHlM/BVlQaYyyjRnMh5zNI3GoxSCYDuq7S5OB/RRXgJ0PuBosc7FyHIbb5rTNMF516ciIbg4FdA5j+07iIVUKG0QSqOERJkkpiF9QGlDWuSkWU5elKR5hk4S0AkqyWg6GxdfgFKCtm1R+AhebTocgSTPUELgrOPu7g4hBHmWMSqH5GVBluekWUrwnjwryNIM5wRCpwgT8FLiZLx4qSRFGgMqXhCDgPlywXazociyeIFTCpNmBNsRvAcPRkusdRjjybQGBLvdHonk7OSU4+MTxuMx3799y/sPS/79v//3/P73v2O/37Pf7xkOBux2O96+e8dut+Nzb0K2TctgWJBlEohVbtPpmDIvWS7WXF1+Yl/t+pi7QKeatusQ0rHdLfDWUe0qnPNkWcp0POH45Ayd5OyqljSpUFIjjafuaoq8YDAoyPOUosixrqPdWFQ/lSGlpGtbdvgeVB/iBbe/+Odlxng8jvzOfqrloIMOOuigv7vm8yVVvQc6kkSSJBlv3nxFmqY83M9ZbZbMpse44Pj1r3/NP/izn9M0HcvlkhfPX1EWit1+S/CeoszJ8oz9vuJ+fs+3v/sdr16/5ng6Y7erIPgILA8B72FQjmi7jvW6JkkK8qKlbSuUSSiSLKYc9nvSNEN7Q5qmZFlBXdf9NL5nuVhQFgOUimZamqS0TcfR7IjJZMJqNefz508Mnw9ZPNyyXW9I2jYmLbxDScFgULBabdjvd2izoihitdyLZ8/5fPmR4D1HRzNWqxWL5YIQAkfHx+yrfZ9MLGito27tU4KkrmustX2rgyHLIoT+0fxUKgLitYautVxffSbLErSRdJ1jvd6w224iX8GoeA8WLIOywHeepm1iWwDw8osvuL+/Y7Ve09Q1g8GAvCxivX3XkpYDiqKgqWpCCAwGg6catbquyfOctm159uwZm82Otu1B8uIPfMiDDjrooIN+OHpk9kD8vBJCcH5+zv3dTb85Jek626ceLVrLvo0gtgSVZcn5+TkXz56hlOLTx48cHx+zVApnO7755ht+/KOvOD4+ZrGIzOIQAh8/fmQ0GpFl2dPn5Gg04uLigt/85rfUTcNkMqFtW+7u73j2/BlJn/QzxjAc5NR1y83NDdPplLOzM6pqz3q94uPHj/z5ySlH0xnL+ZpEJ6Q9yqTaVZTlkPVqyXa7pywLzs6ecfdwQ5rnWO8RzuOcp+06jo6P2Kw3SCm5uLjgu+++oyxLhsMRHz985uT0DIHDOU+eFyilGU+mOGf59Ckei6ras9vuKbJoyg0Go5j49HHCJwRPVVUkSUZZlpydnfPu/e/IsgylFev1lratmT/cUQ5GtOsVITjG4zGb7Q7vPEmSPLEXx+Mx8/mc6XRK0zSUZWwdejR/u66jLHKc7bi9uWY4HNJ1LUoKurbh3dtblFbsNmvariF4z0nfmhBNRk+apiRJwsXFBbe3t2y3W8bjMbPZDKUUbX9/lSQJ3kdOVPwew263ezIhB4MB6/UhDXnQQQcd9HeVCx1CxHRiCILgfExBetv/GZABlPC4rokcvxANoritGitPfd8CgJBonaCk7P+aQPXoMIHo670dPjiEEsRiVEcIMRQEgiAUHoGXCpPlGG2Ax5RfNMkeuY5AvzcQGxF98KRJ8pSOdNbG6tjQm4BKIvuK0r6756nJRwjZo9JiBakLDhE8IsQ6Wmct1nbsXYcgYJ2jbS2dc4gQSLIkMiiJ9ay+T5FK4fG+i8fU9T/bOWSaR36lDwTbgbdImVCWJW0raLv4CG1dYa1HyJTOeYRWuLbDKkVQEpQBGZsd0QqhYr2uFBJvLV1nsc6hQsBoSapzlI73aq7rIHgCkUsZiBWrgXg8HvmYvseBKhWbJpU2JEik7vmaUkXsGw6pBCrRCCMRSpJg8M6jTfJkFnsRv7oQCFKg0thaiFEEKQhScdB/WQcT8o/o8aIipUAaTVkWlOWQwXDIaDohSRKCFCQmpdQZw6Lk5OSY2XRKcJ79bkvVtNT7CmtbUmPI0hSldZ9msLRdi7ctgoCW/YXNA8EjiEk4GaC1Hu9jObNEEVAIocnyAmVMf6mAJM3Iy4JyMCQrSoQyNG1LFwuMMSaaX+IxgO4dwTkSpanqJk6AZuCdp97vIyND9NU1Kla5SgTlYBBBugiaztJYj0xShA9kWU45LHGuQ+126CRhejyla2qED/jOsqv2tLZjPByBkHg8rY1fSkmCkHTW01lHUQ4pioIsKxBiTpqmnJ+dcX5+TlPXXN9csrp/4O7uBuccSZJQ5DlXV1dst1uqfcV+u8U7R1mU5HlOmgi6tsW6QJamGKNp2qrfzFxQ2w7nA8dnJ5w/O6fIDYv7hqarEcKTpglZGjkYF+fPUSZntd1iNluEkqA71jtBmsTFR2R9ZShl4kXLx2pWrTQP8zlNW5MmhnB+Ttd2bHc7kv5idn52xrOLC77/7ju6tv1TnhIHHXTQQT8YjcZT8txwcX6MVIHrm88kSrJerVBKUw4MSWqQKqYAvvvuu8gjHk3ZbtcU5ZDpZEhVNTR1hXNxSu758xd89+E7vvv2W77+6c84OT5muVjFKcTOEoLAmDi8s+95ROPpCOczArGWpe2ZE3XTxORfknJ0FGtF27Zmcf/A5cfPXFw8I89LfGcZlUMWiwXb1Ybb6x3j8ZBnp8+YL+75+Z/9nL/6y79gtZszOz6i2u95uL+nHIzi1CMRJL/eOLabFcNBQpZlXF9fs+vTHEYrrm+ueZg/MBwOef3mDV3X0dmO4aCkabueaxwnB5Mkoeu6+L3GPCUl63rPzfUlz1885/mLc+6ub/j06RPOWYaDkul0xHBYsJov2G7XVPWeJDHx8a3XT5t8682a6rbCWosxhrppkErzsFxQDgecnJwCcfJxMBjQNg1t2zKbzbi9ueHs7IzVasXJyQnD4YCHhweurm7psV8c/MeDDjrooB+efM/qeZz0F0LgnMN7T57njMdj9vuIw7B2g3P+qfLzcYBUScXb77+nqmvW6/VTc5BSmvPzc96+fcs/+2f/lK7rOD4+Yjgo+c2vf8vr169JkshiXPRV6w8PD0wmYwQwGAxwznF7e8vd/R1lGdetjyZY10Vj67HSczgcMjua8fHTR26urvnRj3+CrR2pMQhiNZz3Aik0RqesN2usdcxmM5abBbku6KzDJClCSdbrNc45ppMpWZpxd3dHlqXc3FyjtGEynXJ/98BoNO6HhWMF7Ha75vTsmM+fP3F0FFOhf/PX/46jyQTXdux3O5q6pgktVVUxnc0AuL+/7+8TLFIKbm9vKIqCzWaLIPD7b3/H8ek5z58/Zzwe8bBYUpYlzlqausF2lrquY/OREFRVhZQRaQORM2Wt5fb2ln/w9dcYrXj7dsnvv71iMpmQJJqT4yOUhH214/b2iqIoaNuW9XL59B7JsoyPHz8CYIx5qnm9v79HSsn5+Tl5nj0ZkUII1ut1HIJq4to9zzPm85iwPJiQBx100EF/d8V1tY81pkHgA7jO98EWBwh6jCCd7aIJSXhKrwtiItA7i3M28gMJ4EH3Q0nKaFR/XXfWxVbEnisY19AxCYjM8X3Fpw+OAKRZjhQ6Op5C4LyHfq3sfUxiBt8boAS8EPj+cYUQenZlTB9KJfuUYwyl+PDIhiQOz/YGpLUOax34gMIj6WtYvSN4h8fHcAsx+RiTffRIFYHu9wVCD35Tgvh7fG9k9oM99AlKBHgXUS9CK2xT09YV1nV/MG47hxeBIOIgsncO7xxCxgaixySn0Aqp1R9YnN7RBUdwFqRES4lOTG+8xr2GYB3WdXTe4p2j7WzPmITOOuq2iaatUpgk8h+FUkgUaaJRWiNEwHmP9Q4vPEmaohODMhKdaZz10Wju4oCRFGC9x3mPIyCN6VOSAs9hD+H/SgcT8o8oTQyz6YhEJ0wGY8qiYDgcg5SYJMWkCZ11NHVLIiXDImdcDkiUYl9XNPsdXdtAsCRaUuYZWZ5FrpML7KuKtm2RUmB0BM4KpZ7Af53zuH1M1jkfAEWa5mhjYjLSepwHo5LYNS0lOklI8gypE+q6YbnesdntkDplPD0iSRKkFKQmwbYNTbWn2u3Q1v8nybygBMpotFJPRuh6uWIdAlJKyjJHIGjbjv2uBhRZkjGczjiazRgNC7abFft6z67Z4FxHpnLaJtbOBqDpOrbVnq7tQMR0qNSGIi+w1rJv5kipOTo54/j4GCkFH96/5+333z9B56uqwjuPdY4gBVJq0izFec9+v3+afqzrmkFecHx6wvnZCZv1AtvGSPtmveKhiSmR1WqBSRJa72PiMzF88fIFPjjatsZ5jzceJROGwzFHR6ecnT1DmoS0GDAcNQzHI5IHhb8REZqrEkAyGo2ZTGY4Gz8ckiRjv4vJzfvbW4o05fbqGkes2xtPxkgFX755w7/8F/83Pn36xK9//as/3Qlx0EEHHfQD0j//5/+cjx/fsVht2G3XnJ+fYG2H0gnPnr/EOc/nT5/4+PEj/+P/+M/58qsf8Ytf/AJ77iiKkqauGIymJCYjz+JnuxCKXbXj65/8hKqquL68pNnXXJw/o65qnDRINPtqT2IyynJIXe/Z7CqkDOR5rBBL05zbm3uOZjOEEGw2O7q6YTweMyoGMOrALVg9PCCngmw0IXSOTBuqzQ4hwNYtTVOTCM3Np0u+ev2G337zW3arDUJL9ps1ZV4ym4y4uZujlaQsS+q6Yrfbo6WhyAfs93uKsiApUvKiYLff4VzHajmnLEuyNGVf19jOstvtOZ5Ncc7x+eMHBoMBWmta72maOIE6Hg5JleTh9oarT3FTr21qNps169WCPEsiLzt4QnB4a5FZrFzPsiRW3HiP1prZbMZ8PkcIQVkOSZKEJMtpuiqmRSYTtNZsthsSHQeCvHNMp9MnFtdms8E5y/PnL7i/X9C2HdrEKnxr3Z/4XXrQQQcddNDftx6Nx2gcKu7u7hiUBXXd8Pz5cz5+/MisN8oiWzDBOffESg4EvvzySz5++oSzlu12y8sXz/k3f/X/5mc/+xnj0Yjb21uklCRJwpvXr5k/LJ7qPV++fEld1xhjOD4+JoTAt99+y+9//3v+1//1fyUrcv7tv/t3/PTrn/X8xAnL1Yo8i+zDmDSIa9yXL18yHA54//mSyWjMaDjFdh7XtAghcS7ysYBoaIbA3f2co6PTHh8i2Gw2lHlBlmVsNxts0zIoS4ospcwzmE55uLtjNBgyGoyY392Tpxn1vuoZW3BzdUWeZjzc3pElKeNyyOLhITYi6AThPFmWY7Qmz3LSLGO/r9ntdnETEhE5V0FwcnxG0zZobVAi4GwH5GSJoa33VFWN93GdfXJ6zOXVZ0ajUaxIk4K7+9ueL50xO4qf93/1V/8apRT7/Z7tdkNVbXtjGZSWLJeLfiNWkGUJLTE10TQNaZo+1edKKcmy7D+p9b2/v+f8/BTnHJvNhsFg8PQey7KUxWJBmiZA4PPnz3+aN/1BBx100A9Mru2wbcRsCSL3EEBKhVAxBRn5ipCnkVG8Xq9RWlMWBXVdsd1ue/yYxfdNPkmiMSYhTVOU0XS2o+lsn9jTBBEiVzBEBmEIIu5FK00IAhc8SmqCF3TCP3EafYhfoX+MfUli/CyByB1s26e/L4XoB1s0Soa+FjUaX0D8zFOK2PCnsd7h2o4QAkqEWNfaWdq6xluLMRr1H1lkSvnoM4Q4YCMItNYRXGwoFMT6eG87fNfGNTmezGiC7Z7M1BCh2jR1RXAO5x0mMZRFRiDQOIv1EKTCCNGbxD6mVKVAJ5qgFG3XYruAUhpCfK6SAFrgvaexEemCABegq2vapon3CDIi5LQxGJOClGTGoPs6XE9so3p8DYSIzEyjFEIJcBaBwiQKZXpsnnDRFNYK6Q3g4TGpCUBAk+K9wxNiAlIpgjzUsf5tOpiQf0SjYcnLFy8o0ozxYEKR5WhtcC7giSe9cB1BRjBrV1dslnO6KqHrWlzbIILDaInWisQoskSjkxTZeqxtcVagtULrCGGPqcBAcMTJSwJSAiLBmJwkzeJEhI11oS4IhDIkaY7s4atSaJqmpe06Ntsdu7plMBzjh458kMbfpyTbeo+t46QCQZKlaWQ99dMReZpRDgcR8u48y+WSzWpN17Vs1gucdXRdhPImSU6XO8rRMPZqa02WZaRZgjKSqo4R7rZpCAS00QQP+6qmsw4pI/MxzVIG4wnOOYpNXBycnF9wNJuSJgnb7Y5f/vKX/M0vf8lwOGS334EkTjR0TWRCZBnlYMDJ8TFZmrLdbnn79i0+BGZHRxwdHbNezgk+UNUV9W4XpzCdpSxzAgHbOoQMtG0TeVJKkBUFtvNsNxVCaoLQNK1js90jdEdnHeVwQDEu8SrgvKBtG5TUeAcPDwsG5RitE4xJUMpgrY31cNs1XdtyfX1N1ezjRc97ZkdTLs4v+PM//3O+/NdvePf2LYvVw5/2xDjooIMO+gHo+uYak6TcvX9LliUIofnyy1c8PNxRV3teffECoxMWizWfPn7gxYuX/PznP+f9hw90bcfs6Jhqv6M4LuN0oZCUxQApJZtqQ5HlTL+ccnN1zTe//TVvXn+F6xqUESSJeZpyLMuSbd3ifazjHg4yRBDY1rJ4mDMYDjg7OkGIwG6ziVOMXUuiJGmSUm3WtLsKpTXVZsvR8RFKKardjt1uQ5popI+DVa+ev+Td+7cMx0Ns03J3fc14NqNIEwSOPDPMJiOUFNRNg1I6HiedcHpySpIm3N3fsVwtWa/XdF3XL7gks9nsaXH3uPHadR2LxaIfuIpc67ZrEN7TtjHZuN/vybOU4+Mj8iyhrmqUlCSJQozHMfWxW7Pebjg6OWYynnJ7F7nLSZLwxatX1HXDbrcjz3NW6xXbyjIZT55q94w2PZcyTnGGEJ7YXFpr8jzj2bML3r17z93dA965uAA66KCDDjroB6VHJuPjv1trn9JzQrTs9xXT6ZTlcslgMABgOp1yeXnFcDgkz3O++uorvJC9gSZIksiL/PLL1/zyl7/kf/lf/hn3d7e8e/eO1WrNoCxZr9eEEJhOp7x48YIsy1gsFvzoRz9iPp/z3XffoZTCWsvp2RnPnz/n8uqSly++iI1EPbfqMdFfFAXX11coJTk7O0NIyeePHzCvFFlWYm2DMVncRCR+Xrad/0N7QF0znczYbXcEH2jqhvFoxNGzKdv1mvUiVrDXdU2eZkymU26urqjGFW3dkeUZxhics6xXS7SRGK1wriM1GnxgXA5pbctmtaYoBjgH4344aDwec3R0wna3w9qW4qbEJIrpdMZ4PGa720EQdM7SNi3z9gHbDxFprbm6uiHL8n4tXbJcLqiqijzP+6TpHGst1trIz9zuCN4znU15/foL6rp64kFKKTk/O+Hu/g5nLc553vz0S9brNfP5PJqdJyfkec7d3R0XFxfUdc2nT59IkoTT09On1ocQApvNhhAC223khA6HQ7bbLUdHR9ze3v4J3/0HHXTQQT8gWQfOg40cwEeeIICQChkESog+JRiNtWFZoo2hbRu2mw1NFQeCtNYobTA6VnYiBbavSg1CgoopN4AgAKFAaoTSQKxilVI81bzGP3smZb8ejYMuEiEiJzGEvj7Ux5ZC8VSy2kv03yQen5NExicDiL529JE3KRChZ0YiMFLgbc9z9B4pQqyW7Q1O6yxN09F2FhAo0f9EIWJ7Hx3Odsjwh/um4FysVAeC87R1bGySPYsyBB9xbypyV7yLnE6JQEr+wFEUAhFCz+008TUERH8cwKFEfO28fDRuo9nZtC1YR1tXtFWFBEyS4UNsUXTWE9IYrhJKMRpksaaVOFzc2uhJ6CTpXyOPEhqvFErKeBz775WPd1BBEtwfjF+lFErG59A9HR//1LTx2Ap10P+nDrsrf0ST0ZBXX7wkkZo8yTAyGpC2c1gfCEGABhUCqRFI32GbPR2RKWS0wCiN1vEiI3B41yHRSOFReBKtSPqLnHMuwlVDiFFyH5BSoIQkTTOyvCAvSpz3KONRJkGZlLwckOZ57+wHXN9p7a1HBMGgKDmazpiMRsgQL5EK0AISpcjTFOEgSVOk1mg8aZEzGo2Y9AuFpmmod3sapVEh0LZ7uqaltR6pElyfclit1jhnadoCGSxd12C7ll21jRMC1lOmGVmSYRtL17UMipI0y3HeoxPDZDZjXzccn59zenLCZDZjtd3StXMelkuW6zV3d3ecHB8zO5oylEO29ZbOtU/A4NnRjD/7sz/jzZs3XF5eslgs6LqOyWTC6dkpXb2n2e+42m5pqi0QSLOU0WAYWVl1g0fw8HBH9xvLyzevOTk5I8/HVPUnmtrxsFjzq9/8jrcfLlFJwsnZKV+8fs1wMOL89BlKJqxXa5q2Y7Ne893v33Fzfc+LFy+YzWZIqWjbjiRNOD8/Z7ffs1qt2GxXlIMBWqt+I1QxHo85PjqKRvFBBx100EF/Z/3rf/OXfPHFF3z55g3aaJbLOYvFGmMyNps9dd3y6tWXzOcr3n7/gd/+9re8ePmSr778kr/55d+QFzmDgWa33ZAkOd4LttuKo6NjUp3QVg1aSS7OT1kuV1x+/sB0Gg1CKXWc2hSxCmU8msTpQR8rZcqihGngpv6MFgrbtmSJocxyNusVq/kD282Gs7Nzvnj+Bd4LLj9fU2YZBoFtW6T3JFKhA7SNZb3bRQaSh6PxFC8CD4sl99c3DEcTtNQowHUWLyVGJUzGM5aLFXVVU+0rTJJwfHRMnuWstxuMMYzHU/ZVzfX1NUopXr58yXq9Zrvd9lXqGfv9nqqqSNOU4fCc1BjW6xVXl1cYrUnTBKUUTdUwKAvWqzXbTc3z5884Oztj+3aDSQydtXSuY3Y0o2lattstSZoxHI3xIVbqlOWAvMy5u7tl09e3CiBLUpxzbHc7tFLMZjOqvpECAhcX5/zjf/wP+d//9/8nIYDtDlOMBx100EE/VD2m2Lz3T0MzaZpwe3vLbDZ9+uwyxrDf7zk9PeHo6AhrLb///e/pfIisPykZDocMBkOeP3/Or371a5aLBV9//TW73Y5f/OIXtE3N+fk5aZrGtd5m81TpCTAejxkOhzw8PHB9fc1kNuPk9JRlP9Rj++GZuq6fBmpmsxl5nmNdbPw5mk3Z77ZcX33m/Pw5ZTGiaWqMSQjeoYwmETGNFzdcBVW952h2/JRsdG2HTyyZSeiU5O7mlmpfcfHsGcfjCaNiwPffvWU0niB9QDgH1pIZjbUtVd3QtjWDQYHtGqaTCUIIvv/+HfOHB7K8ZHp0zGAYa2el8pRlyf3dNmJngkKg0SqhyAXTqWW5XjOZTMnSlKubG5bLJUopXr16xXK5pG0bBoMSpSRJYlitVhwfHzMcDlFKcXt7y+fPnxHOURQF1na0TU2epey2a7abNa9fv2IwHHBzE03dEOIgslKK8/NzPn36xGQy4fj4+Gm4ajAYcH5+zt3dHff39xG9k6aUveFc1zVpmjIYDNjtdk8G6Wg0Yrvd/2nf/AcddNBBPwAFG6BzBKn7as/emJOxZTDCwyRKBkQIWO/RxuC9Z7/d0TXtE87LGNNXksZgD0pSty2uiTzAJEtJTELTdtEYlAap0z4ZKVE+PKX0ngxIEatd8R5UfEwIgZKKIELvJfrHbwBiMo8+wfk0MEWg6f6QkHz8gsfnHH+uEAKpIhvSaIV1li54BJE5aZTAdn/AeyVJEkNWAeqmwXuHVpIsSYGY8rTW4q3D+/+YRAld62ibeD9ijEGqyLx01qKk6U3V+Lmc54Z960CpWH/qA75zSKBrov+hjMZIFatuZayGDSHgnMAGi+1NPmstimjICq1JtGFYlHg8rEXkXEsZ62+dY1/X8bELCarndvoQXxNhI54u9E0MPBrBj/zO+BVCwCiDENEIjXWx8f7x8ZXzPsT0pvc4a///8Xb/QehgQv4RDcqC4+kELCghCbbfkJIyTgQIQaI0GIMWNqYSjCJLTJz49xFQr7UmhPhmdLbBdgLX+j7KrNBGRdPROjrr8UQD0vuA1PEkLJOMJM1Ikqw36wR5PmA8m6JNigf2+xhFDkGADxhtGAwMeV5GFpMP7PdbgncIHG1T0VU1WIc0CVXXgOtiDWmaorXGdh3OWqrtjnZfI31kXqnQIfEkRiB1BjLBefqb7B3rlUQLx3a7ZL1Zs632KAmZSZgdHTEsBqyWa+bzJePpjOl0xmqzZrffs6sbbu8f0FoyHE+wIfD777/n/bt33N/dst7vQQmOTmZ8/fXXXN9csdgs6FwbOZVCYJKEcjTk9evXSCkZTyYs5nOU0YxGY8ybN9xeX3HF55ieTA1FnqJTjfSSLjicA9tHy7/44jXnF8+5vX7g6moRzdWguL69Z7P7SJpn/OPhEJkaVJKgVclkJMnTMbvdltVyy+XnaxBEruhgxG63oGla8izl6OiILMtom4b1Zhmj90rHqrj1mvvbuycu50EHHXTQQX93/dN/+j+zWMy5vLnm9Rev+LM/+znffvstRZ5xcnzO/XxJuq2o647T0zOuL68xKn5ePH92wdX1DS9fvmS53LJZbXn2/BWgWK/WZEVCQkJb1ZClDAYF3ls+fX7P8dEpXecYT08YDibsdjtSIpvAeUdbtwQfwfRvXr3h84cP+KalyzP228hJGpcZyrbMr69oN3vOzi4wBJZ39yQhxKGmriUEh8pSBiYlKUsurz8jrOfu8prxbMxkULLdV9T7HdWuRgnFYDDGBwEhLmSm02Pmiznz+Yq2tZSDgizLo2nYNGzWG07PznDOs1otMUowm4yo91uUCBRFxtnJEUppVqsV9/d3XC1X5FnGeDRmNpuipGS7XrN3e2znGY8nLBZzvv/uHQ/3Dyw2czyBwWDAYrEgyzLG4zFFUbBeb9jvKooibvQ9PNxhMk1Zluy221hvmyRPfKayKHDOPSU0I2er5e7u/mn46vbmHmMMbXswIg866KCDfsh6rGTN8wytdWQddx2np6d8++23/WdEx/HxMcYYjo6O+Pz5M9YHzi8u2KzXlGVJCJ6zszPevHnNr371K4oi50c/+hG262LdaTHg66+/5m/+5m+4ubnh4uKCJImm5+XlJd57jo6OWK1WLFdLRqMRXduRZRnG5FxdXvLFF6+ZTCZsNht2u91TDZq1LUp6ppMR7999ZJXlbNdbhuMZZVIQQqQUiZ43Fatg+8GfQcmoHLFbbxmVJQ83t9iuvw/Rispb1os5WmlMktBUO9R4hJaB5fyuH/7JyVPDZJRz/3DHt7/9DdPxhOViwWx2xGg06lsTAvP5gjQvkEpRL1YkSYLSCVJoZFDUu5qFWJMXOUdHp9gOHu4WfPWjr5hNZnz8+JHTszNGoxGr1YrRaIS19snkXS6X3N/f8/vf/56yLBFCcHZ2hhGCpql5eHgAPELEYe/1esW792+x1rLdbsjznDwvWC4XnJ1d0HUdL1684MOHD7x48aJnVm6ezFApJW3bMh4Pmc/nOOfI8z/cI3369InBYMB4POb29o7pdPInfscfdNBBB/0wJDqBsAKpJVLIvntV/seeXqw5DR7pIsoj6deE2+0Way1pnpHkGcokhBDovMeGDhEEIJEmxWQZJo2GI0FEQ0sb0BlCmR75aNFSEHpTUAAyeHyI5pTwsYJVSkkQ0Vh7eoy9tyf4A7daiN4O681GrVU/OBVwwQM+sp8fg5HO4fqUouyTho/sSykESiiEiMbZY7vCoCwQUmGtY249zhH5jb5F4LFdR1dXBB/NOhH+sC5u2xYfYgVt/IrHPy9LlIpmovcCITUmzSi0JyBxIeCCQ3mB9ArXNPgQ0EJijEYLjZIKSXyetmd9iv5Xex/rWrVJCS4ahK2NbFAfAkor8rzAJAaEYFc1sYHSd8iQoI0hNwbvOkSI1bMOH/f9vUJ4g0KAj56MC5G8qZSObaxCIIlmcxACoeJguRKyfzEDkoMJ+bfp4Gb8MTlwXQsWpDBxAsARY879FzKC7TOjMTrWhyVG9iakpEP06etoJkopkRISLVEy7aO7go6AMbqvCQNHwOGRIc5vmCQlSTPSPAcELoBJkgi7VQZrHUJZVIipCtf56Ob7gLeO/XZHVdXc3t5S7XdIHHliSIwmMRqHoOla+n1HpI51MHutkULQVQ1NVdHWNV2cxYh8iSBjDV2wBGLt7GPtam337LYbmnofob5akRcFJ+dnHE+OKIoHTJLy6ovXHJ+ccHVzw/39A2meIxdLqrbh+u4OpSSfrq74zTffsJjfMRmPOTk7Y3Z6TDEoyTbF04So0pK8yHHe8f79e3brDYvFgu12GzkY3tN2LQ/3c1arVVw4FQVlmZEkGudi17eIuXFG5YiXX3xBVgyoastitcU6GIynjIZTdrs9zefLCNlVEus9m92O7aZGophMjhmUYxaLNcPhhOGo5Pj4hMFgwHa7pmkqtI7G6XA4pK5rVuslBOi6jqauWSwW3N7eslwuaZrmT3pKHHTQQQf9UNTZhq9+9CXf/u73/P6770iTlIvzZ9zf3bPZ7FgsVmy3G5TUPH9+yldfZfz6179iPB0xGo3QSvLx40devnzNerWn7ToSExPsBIntbORLBI8xmul0Emu6tkvSpCAEx8P8liIf4H2E0CsZGQjOeWwXeUOT8YTtek1b1wzLkq6pEE6RKMF8t2Wz2GDrNoLYhWb5MCcEx2AwwAXP4v6eZ6cnyAB5kvL65UtWuzXLhzmTo1msRJGSo6NThBRcfb5kND1mPJoQgqepO4IHowxN3dG0S4oioyhyhBCsVyu2ux2mryRr25arqyuMMU/JjuVyyWw2wxhNWZS0ddtX0c2p65rRcIAxKeORoap23N8/4J0lSzPuHx6o7Z6Ts1PKMhqNgcDd/R15VhICrDdrmtailebo+ITF8g4pBa9evaKua26ur0nTlKqqYioyy0iSpP8s3hJCoKoqTk5O+Ef/6B/xv/1v/4+nReBBBx100EE/PIUQnqpUAdo2mo+PnwdNE5Nw2+2Wk5MT6rpGCMF2u+Xh4YHp0XFM9z97FuvInaPrOp4/f87NzTW/+93v+Cf/5J/w85//Of+vf/WvqPY12+2W4+NjPn369LQ+vb29RSnFT37yE/b7Pb/61a8iy7hPSzrnGI1yRuMxzrmnOlWtNW3b9Gl+h7M10+mU+bxks1kzm53gXctms0Zr85T61FribKDa7UiThKaqOZrO+PD+HbPhCEzSM5sc9WbNbr1BBlhrzb6qKfOCD2/fcnx8wvHJCe/fvaPIDEIp2rojTwznpyc459lXFb5nRuXGcHJxwcNixdXVFecXF8xmM+4fHtjvdiQmQUmFtZ7tZk/XWYqiQEqF7Sxvv3/LYDjg5csv2Gw2/OIXv2AymXB0dMSHDx/Y7/e8evWKruswxkTjU0pub2/RWjHq+Y/TaRxyWq+XFGVBVSsuLy8xRvPVV1+x3+/7tIXj9vaWNE1pmgYpJTc3N2RZxmAwYD6fMx6Pef36NZ8+faJpmoiK2e3ixnYah4zX6zVN01BVFbJvvjrooIMOOujvLoVEBhX/FBpUz4bEx6RaCHhnwVtE25CnSWzn8x7V46+SNH1CcDgXTbvoYjqyPCUvSrQ2eAQ2gNZpv/drEDKJlayAkr7HqEXTDBF6AzGGWkKwBB9TjUJK8IHQMxfDIxwSYpKv50GqWKeIQGJMirUdznW4x/SeiMzE0Bt1gT+YmHVj6doW52yfqnRYGxORUvD0eSR8wPlAUZQYY2m7Bm8trrMxJOUceI/ok3706UytTaxdfaqPFWgdOZo+OEKIaLm27bA+xBZHrVBCYr3sE4/xsYgAwsZkovc9+s57rHd03mG9x4uYfsyLAq0UwsV62a5uaW0XkXPGoE18LbvOEoisS6U1zns8f0iqKkl8LsFFM7N/Ds5bEBJBTFNKoRBIvAuxdLdPakoBXki8dygRU5lCCKy1MS170H9RBxPyj0gIGU1HHxCKePFwDin+o6iw1rH+wzi0BC1FPKkFBCVJZfrEQQqoeEGRkiwtcD6elFXbxO/RCdumxRGBqUIqlDZok1I1LUniKfspRGs9gbgQMknWg3HjRJ+WCp0kWOfwbU0rYsR5v9/S1DXr5QJnWybjEZPREKE0Do9QcdrCWktTV3hrsUqRJglKCrLE0NU1dbMnTWPns7UeZwNCeoTWOO+QIiCIUxrRuH1MgTpanSKFJMmioZoXBcWwJC9ytNZoo0jzhMl0zNv37/nu3feMh8N4IROeoiy5eP6ML16+QCnB77//nsvLT2w2G5yPi5WjoyMSk/Dx40feffd9XwO3ZzKecHn5iXq/5f7qiqurK5yz5NmEIs9RSuCDAaXofGC922NtXIx+/ngFQjF/WKKV5vz0jItnz1kt11jfsa/3eNexXNyDF9zfbMjTnNS8IEkNWWKYjoecnZ0yKHJk8AjvEM7h2pb5/R3jyYTEaIzWeO9o6pqrz5d0Pc+i6+IHzkEHHXTQQX93ffvd70nShFevXzG/n/Pd998xm84QwIf3H0jSuCH2/NkzTk9OMMaw2a748P49X3/9NZPRiKvLz7x8/pLZbEJAsN4s0cown1coLVFKkJuUNE1omoYsS9Ha8PCwAKmZTKZ41zEoh1RbS1M3yADetnR1TdW2GBX5DevlktoYRoMc3y8o8tSw3y55uLshMSnTyRSjArvtnmW9xztL0za83+/JspQ0TzFGMRwMaLuOuqpJspy2i3ffSigGZUldV3Rth+o5SKenJzw83BPweO9oq5rddvM0Xdk1DUVRkBiDc7HazjnHfD5nNpsBcHd3R9O1DMoBs9kUISRVtSdJEmbTKc5aRIC2aTEmJai4MTxLU64fLtlu95ydPWcwHNM2LWka6+c32xXWORIC1jnevHrDYFjy+fNHHuZL0iShHAxRSpIWOU1V03Yt1abi4uKC0XjEZr1mMIgcJwi8ePGcjx8+/S3vnP+M13HQQQcddNB/V3qsYn00Ib13lEXOyekxnz9fRs7hekXTNE9DrF3XUZYlHz99YjQaobTh++/f8fzZOQKJEIFqv6Mshzx7pvj2d9/w/v0HXr9+xU+//hnfff89v/zNr/ni+Yu+RrTFdh2j0ZBXr16RJAlZngKBer8jzwv2uy3GaLI0YTgoY6X4dkPbtjRNgxCQZTmDYU61X3F/d8fz5894+/0HqmrHoBzifMeoGFLXLdvtBikF3nnauqapK6QSyACJ1tze3HA8m1I1dV8PL/G2YzWfIyXoJGVYZOBG3N/e0NYV9X7L5W7NcBSHepWSFHlO23ZsttvY4KQ1WZ5DCAzKku1+x8PDA7vdnmIw4PTkC959931fnRdTK3VVx8erdGRH5zlFUUa2lVSkaU7bWuqm4yc/+Zq3b7/nV7/6FdPptDchh7RtS5YlvHz+grraI4Vkt9sgpQIEu+2O6eQI70NscjAJ5+cjmqaNqDEb//9yuaIoCjrb8ZNXr6nrin1ds+tr6pMsw3UNWscWBmstDw8PlGXJYDBA9LVwXdexXm/+xO/+gw466KAfhh733YUUSKWisxQ8HkUIDucszkNwjkwrrO2o6j8MuXjvETpWsBJ4qjnVOiEog1Iaax2NdQil0UmGUAqQkQUpFKB7F00iZEwiij6RyNO/S/AQ5KPhGAhC/GfLyYBAkuVZXGn2rMhH3mDbulgn3tqImdSPaUPPfzI32/MVq/0uBqq8QwWP8w5v475CkhgIUFdVTBaaFKlS0kyjE03X1HSiN1UJ4B24Du8keEvwgWIwiNzmrqXrWqSUJEnkaXqv4jHpTda2bcF5iiIiWDTg+xYK2fMy8f6pHtc5C97jvMUGCFqhE4NSCVJHA1NKSMiiqWktIVikVgip6Kyl7SzWe9IsI80L0jSN/oXz+GCxje2Zm/E9pPqEq7WWIDVKgdQGqSRCaLxzsdxXCoSKrRLeR9NYiRhME/09zGGQ+W/XwYT8IwpeINEYo9BSxoit8iRag5QxBi0cOlZGY7QiSQxaK4SKJ0CMC0uc9wRPD2yFxvVTDYki0ZrOdnTeYRKNtx6tFHkeWYkxIg2bpiFpO8ZZjgue3X6HXa/IsowsixWqSus44egMzoHRKSEQuQZSUBQpSXKKEKFPAphYL4snEypOcSCQ1iJDINMFk7IgTQ0LYdntF3T7hq4SBAFJliO9ouksCYq23pOmCWmaoaWkax25E7Rrx3K1xDXwzTff8enTNbvdDnAkRUrVVXy4fMft7Q2DwZDp0TFZnvDXf/0b8jzjeDbjp1//lN1uy89+9jX/8Of/A//u3/4b/o+/+AuuLj8j8JydnJLIhJPpEePxmE+fPvHdzbfc3d1FLqeC3/52BcFT7za4pmFQlnRtR72X5GVOmpa4ENCqQas4Sbndbrm/3VJVEbx7dHTC+emEL16csJ+V1M2Sm+uWu6v3LG4/4UJgOd9wdHxCCBvKoqSpFpSphG7H4voTW22otluk96zWSz7vtownYy6eP+f58wvu7x9YrzfUTYNQsU9gNBqR5smf9Jw46KCDDvqh6OziOX/z69/w/NkztFQMJyMWyzneOSbjIa+++ILdbsf9/R3W1vz5n/0D3rx6ydXnD3x+/5Y3r7+kTDXvvvsdb370U5ROOT2ZUDUNoWcrJEmG9x5jUqRUVE2DVoLjI8VisWItBMPBkOuPS06PThiNpywe7qk3O5QgVqzbQGYUXWrYbDfstku+fHGGkQLXduzWa1bLW7rWgt1zNJ0xTDX1vsJ2DZmQJCZlu6vogifxGusdxiQslkvOLwZkScrlp2vSJCMtc9JRxnhScnV5jfM108kEfAchkBqFax2DNNa47OuaXR2otxumwwFSSvI0YTAcYp1nvpgzGI549eYr7ucPXF99JrQNWZpSZAnWOva7LVobjEmYHZ1ycnpBVTVst1u0lnzx5Y+ZL+a8f3fJmzdvKPICgPVmxWx2HCth+hv+z58/kRUDTs5eEAh09Z7QbxA/zO+RSqBzg6Ljw/VHXr14xbNnL1jMl30KBsbjITdpgrU2TjV2rr9/Eyipsa7hYEQedNBBB/23refPzrm8vEb0dWVCCAaDkv1+DwiUknRtw2g0xLuWIk8xiaLaVwyGBVLDYFRS1zUXz57x/bt3vPnyDcPxNG4IOg9SMZoe0dYVx8cneB/4+PEDL16+4tvfv6WzDikl5xfP+fjpAwh49uwZL1+8YLVYcHX5GdfWPH/9kl/8zV8jpMPaCuEMs+GA3XLO0WTCYJjSdZ7OOnKT46wnMSlpmmF0higCdb2nbTuOjmbc3c0ZDoaYJOX66jOnJ+dMxxPu7x+wbYuzDd51BBdTH0kqWS3m5Kng5GjGdr1mcb8mTTXL+Rx7XXF+ds5+LdAoJmXKanHPaDKi61qq7ZpUCxpvQQnW2z2d8yRZDtsqmo51FbmQ0zFCKq6ubxASjBJ0XUOR5Ugp2C43DIYDhIrImbaraNqKNDUxWWg7nr34gtVmy3KzR2rD6zdf8fHTO66vr9BKMhoOcLZjNMhYrR5I0xIhNcVgxJvRjM1mxW6/J00Svvzqx/z2m2/4+OmGH/3oq9jglGjW6w2D8ZR8MHpKML798InpdMLx6Tlaax4eHhiMxtS7DetVrGgdj8d9/fw9z58/J01TkiRhs9nQNO3/5Xv2oIMOOuig/+8ktMPRIrxCChMbhQSxmtMFglCoRCCDJNMp+82afdMhhSQtCoQQNE0TPwcDGBlbBrQ2SGHo2kAnOkJiUEZjhSQgkTJWkIKBIBHENKHvqztDeDSlFL43F41J8C5gO4dOFNb5yDl0kblolCZJIuMQ73C+w3YdIgSEFFRNbC2MCT36ta3CGE3XtAgXYpiFwH63pdlvAUekZHpwFm9bhJdxv18qtFA4ATiPdXVMIAoQSiCTPqjkYuOfShJUH8ryzgIS7xxplpBlCd7FZkLfdXSuI8sz8nKAx8ckYzB0ziOsj1WpgA+BRMeq9s62VFVN2zR0zqKMQCeGLgS6tiE1OcO0iPg0IbFtrFENSmBtAKnovKfqOqQUGJOSJ2n0SEyCVLHOVuDi621MPC5Cgoi4PddZcpNEM9p7ZKzBxEtAa4Q2CCXoXAwJeRkQWsbBJiFwnce6gLcHE/Jv08GE/COSCIRQEEScLggBI+UTsNbLCD3VWlIkCVorjDZxIoEeYkrAOk/b2nj5UeCcx3Ux5osEHxzWWay3CCVJlQapSNKUcjigKEc0TRcvVN5TNS3OO4SWaBUviFLHn4WMv9P1b3zVn2yxCsXFRZZ38cRMDLE+2hJsn4KQkkRKlBDgHb5rWC0eCAT2dUwGaq1wxF5kk6YEr6A37LIspyxKtNbst7H+JU0zBIrEJHjnmc/nTxWj5SCns5YkMbx795bVasXJ6Sn/cDxhu932jAxL/fw5ZVkwHo84OztF6pj83O12zOcLXr98wenJCUmSUFcVUgjA0zY1UgaUhHq/oaoqurahMIYiy+LrSCDNckbDKXmeUzcdVWMpkJSDIWU+oNvvaHYV2mjGw5IskXhb09ZbbL1ls76nrps+sWhRSYYPLd7XFGmOsw4BrBc129WK1BgIAq0UXV2zfHhASHj2PCZulNJstztaG1kgeZFxdHREnmV/qtPhoIMOOugHpcn0iGfPYv3q5edP/OzrrzmZHVHtd9zf3vHx4weGgwFlWfD58hPPLs55dnHBdDKmrioEntlkStNa7u9vGQwmjCYTpJY4F5jOpv3U+xrnHEppyiJuQqVpSp7n7Hdb2qrm1flLqv2OTdOAdxgt6aqKRMadU+ccoQexKy15//59XPB0FpMahqMBzjqsbbm+vUIAg7yICQ4A4Xj27JSr20vqxlEUGYkMTEcD5rfXIDTKpLRdh+tqTDqjqypGZYHRCfvdDtvGKUcv4kSp9RafJiRaMTo/4+bunu+//47xeMx4PMEFKLIcgM5Z3r1/hw+Bl198wcfvf0/XNmDic/M+kCQJu92Wk5PTWP9qEo6Pj2i6jrqpGA7HKGVYLldsNhuOj49Jk4zOtuR5HhcD3pOmKZfXd5EBZTQPTY0jDjsOJxM2mxWrTeRDpjLw8fIj42xCkcXEglSw2224urpkPl8TfECIyPEIgUMjwUEHHXTQfydaLlfAowEJSaJ58+Y1v/jFL9FakaYZTRNNyMXDHd+/fctoPEQrRdu2PfNPMBqPCSFQDkpOzk5pW8tgOCLLMrabDbe3t/z4q68YDQdUVcXV1RVv3nzJcDjid7/7HV999RXTowlplnB7e8PWbbm/uyNPU9arJc4+R8atS4xRJEYjCYyHQwDu7255+foNaSppOsegHFHXDbvNjjTJCE+sKd2n/FqEENzc3vDjr36Mt4772xucdUih6Oo9QjiKLKWpK/a7HcHFCtH1ekW12+CcpXUdQgrGkzHeWzbbNav1ijwvKPKSvMhw1nJ+dsr9wz3z+ZzpdEJnLVmWst5uubm+RkgFBOqqIstzjNJUdcXZyQlV03B7c9NX0XfsdjV5HhMLzjqmsxkEx8dPn1BKcXR8zGg4JIi4Ttdac3V9w70SXFycUu12zB/uKPIU5yLaZDqdstnsOD4+BaIZnWVnnCvF/f09+33N82cvuL295cP7T8xmM5I8xySmb2eIbKnRaMS3337LYFAyHI24u70FYpWv0pqiKFgsFn2F7ojtdstmE5OrFxcXgGC9Xv/XPxEOOuigg36AUkrE5tTg4562EHQ+1oAiAlpJjNJoCbbegIyNfDJumuNsNKQEQBAxeeg8iFjpGms7JUFFIw4pUIlBoBAIrOuwjlj3qjqUDggRN+W9i1WfuudIBheecCs+QBeiqYjz0SgMHu9amsoTrKXrWlzbIYWIHkOIgSZU37yooi9htEIGg7cWrMW3LcK7WOVKQImA9NHwCz76CUrGZkelDVpGM7Pu2pjQJHoH1tqImkkSjIyhLEkA66K34BzBxxY/EQJtXWNtR2ctiMjG9ES/JDWGzmuaXUVV13TOPjVEKq0j7K1t2O23dF2HVIosKdBJ/PlBSpAxyRqIzGVhAC/ouvhYY1cqaKOe/BpE6P9/6IfRBD70TMwkwdkW5wJBeEJvEKdZjg9xj8WFgEqSyH3s3wNCgggKoQJKCpTomygRODqc00it/lSnxH/zOpiQf0x9HNu72MssQqz60lojpcQkBpMmMfnXdwNrrQkCmq7DdhYhJJ2z7JsmzsxLSddYujbEPmYtEDKeoJ4IWZUybgZmRawrLQclSRaoqhqIm3kAqgfrPk7XhRDouo7aOaSPj/Gx67pzsZdYKdWDc+nrqT3W2p5h6QGBVpLgYhx6PX+gqmuarkVqSZqmmCTBJCZCe/upQJOmjMcTnl08RylFXe1p6h1BBNquIRA3BrVSFEXxVG3z8dN7Li8/s91ueHh4IMsytNYsl4sn6Pv9/S0P93dMxiN+/NWPuL+/5/b2hm+++Yb9fs9gMOD169f83//lv0RIwa9++Qu+//47vO/wrmMyHDAYFJFh6TtE6MjznOFggJKKLMs4Pjnl7PQ8Vt80DeiEvK44Oj3h5OSMzXHFX1e/YLNZc39/xze/+Q3v371lu91wc33NcrV8Ot5KeIJv2G8t9W4FAbIkYzgckegU7zxdkqKkIUtTRBAkaULXdWw2O4bjGePxOP79LMUHT+c7JpMJw8Hov/55cNBBBx30A1TXOXa+4c///B+S6ISH+zkvLy746qsfcXJ8yuWnD+yqPXmaMRwM+e677zHa8PLlS77/7ju8D2y2W/K8pCxLhBAsFkukMmRZFg0772maht1uy3Q6I0nihp1UCucin6naV7x//5ZROSAx+gmUXhYZ2/UqchgkJELQOBvrRNsK3dfH5GVJkqY450mNwTvHvqpYNxU71yIQbLeXZPcpRRk5jN2wRCrBYDAkKRPW2x20HaPxDKEkynlE56nXO0IWq9BFMWS33+Mai0SRphrnAlVTM5oeMygHXF9dU+33DAcjJpMJ+6omTzNoakaDIU3XcX11hRQqPs+enbDZbOi6eC9yefmJsog17VXV0HlH03YslkuyLCNNU6y1LBYLjo+P4+/Z7wghNjzUdU1R5Ox2W5RSJEmClIIQLJvNivF4TJJo6rqirpq4PhGCtm1YLh9QWvHmzRu89/zFX/xrghe0bRcXLMrgOZiQBx100EH/PaiqqqcUJMRkQl3XjMejiPJwjvF4xOXlNWcnM+bLOUfHM25v7tHGMBwNmUymtF3HYDCgKAbs93uUMkgpmU6nzKZT3r59y8dPH/ny9Wv2+z1N09DUFT//+c+5vLzEOUeappyf/5g0TdivNtzd3fH6iy84Pj5msViyXq/ZbnY8e/acEAQPiyXDwYiz0zM6H7i/v6coh5gki3VuwGazYTY9osgLhMrxQcR6OaEZDkc83N/z+dMnhuUAfKCra/Isj8nDtgMpkAS6tqaua6QU1Ps9UgnSNKEoS5TWtE3DaDygrls26w27psEiCR6Wy2VMFKaa1XqFdR3FYEgxGFLmBdvNhulshjQGbRJkCOz3OzbrLUdHx5RpRlfXGK3jHkJdMxqNIuNJRiwMwHa7Jcsynj17hkbQeEGWGrztmM0iO/v7795hu4bpdArAYrGIiRjvETLh/v6ePM8py5LdbveUbry6umI0GpHn+RPDcTAeobUiz7KnatX9bstoOKBtYxuC1oo8H7Pdbujq9okDOZ/PaZqmT9TElMc33/yO4+MjTk5O+PTp8r/6uXDQQQcd9ENTahRGR7MN1+EIOBtZgEIEpJL4oHAqmlUQ98iD83RtS9vUBBeNQi0lIojeZAogYosBUvTpRhdTiM6itOzxbOCCw1pH8B1CxIASEJmULg7+QD9061ysibUerUFqFc1NBKo3U9u6wrZt/LPr0EphTYIyMZ2plCJIiZQits9ai/CO4CxN1WCbpkechP7mx8fKWqVAG6QUSKMQRvVpTkkQEiMzZIjBJQRY51DK4oHQN8f6fu8i+JjiVL2JKABsh/cWlSR9OErEdigCJklpraXta1tl315kvYO6QqnYrNh2cY9kMBySpIYgAkmaYtKczjnazuKajs4Fgg/4zuKtxTuH681PIURMayoXkXUElO4wOqYhtRJIkaASQeMcrl/XCyH6943oeaIevEB6j3AO3/9s4eN9FsHH91189vEYiejt9D22B/0XdDAh/4geO6EfJWWMLgP44BEhAmO10v00RUxMBgHOQdc6kJ7OerwQffJR4oQjyMg78K3D95MaQRBZizgKJckHA/LBEKEUvp/G1PqxZzmeuJGPUJBlGV3Xsd1uYy0ZEi1kPAlEvDgYEXqIvet7k+NEgBKxpiwAMvg4+dB2tM2eqqpYr9e0XctwOmY4HDKeTHBK0NqY7mwai0cijGI0neCdxXnLYDjA2pa2qdBKgoPUGGbjCUdHM46mY5bze3736RMfP37AWsuLF89RUrJcLKiqHVJC0zTc3OzZbTdcnJ3y+fMnPn78yLff/IbdfsdoOORoOuXF8xdkWcqH779js1yyr7ZkqaYYZIyHOeBJDXRtiUT2fc2OPC84OT3j4vkLRqMx+7pjXzvmqw9Ue4uz0ayVKqZWl4s5Tb2PXKy6JgSHUYqiiGnYzjkaZ5E6crLatgPXoZVAF7F4WoiAsy2teIzrK5qm4+bmFm0STs8vOD09oRiUVHXFZrchz3Oy/JCEPOiggw76+9Dz89dUux0f3l3y9U//nMXDPe++/z2b9Ybz8zNevvyCz58/8eHTR/7RP/pHEDwfP35EK9nzChx1Xfe8Z4nSiuvrG4RUXDx7RtvFJPtgMGC9jgyi6VQzGo3wPiCCZDqesNtu+fz+A7e3V2gpmQ6HaGCz2bPfrGibOk7aaYV0Hb5tUKrnIRhNouLwU/CefdOgkpQ00eh+irGp9wjjqeo1rdsxmQ64v78jzzMEFqMNvokVbto16LSgLAfsFysSqRCt5W5xiUkK7h/uyPOUzrVcXW7I8pSjk2Pefvc92himkwnWOXa7LWmWY7SmahpGwyFt5wibDS8unrN4uKPe7xEC2ralruvI104SiqJgX2+4n18hpUQnGXk24vz8nDzPaZoKYwx3d3fc3d3i/GPtinna8JsMU9abdeQ8SEGqNePxFC3jprQZDBkPh1xfX1Htam5ubmjbltPTE9q2oap2fPnla3a7PX/1V/8WZ32/+VzxuNg46KCDDjrov209mo8ASZI8DQylafqUUCvLol9v1gwHA4xO2W5rtOnIiyJWtQUYDsecnZ1xe3fPaFyilEYgSBLDixcv+PD+Hcvl8olzvFoteXh44F/8i3/BX/7lXyIVtG3NcDhEebi5uqKqKv6nf/JP+cUv/5rFcs27dx/46dc/oWlaus4yHk/jpluA5WLFsdCMdEpd1wgiu2izWpImhrIYUvbPN0tyuq7Fth1319fs0ozJZAwB9tslu+0W27WsraUoc1SArq7QxoASZEUemc9akaUGuwnsXEdSpAzThHpfU1cdtu3QacJys+Y4nZJlOXXdRCQNIPtWot1mizGGk7MBaZLTNS1GCG4uP5OXJfP7ewKBNE1ZzOdxkxjIs4zff/styhjOz8+feNPaJLjgkQGMUqSmQBH3GXa7DfvdBts1VFXE0ShpmUwntE3H5eUlZVn2fKhAWZZ8/fXXfR17YDKZ8OHDB9brNVmW4Zzj9PSU1SqmaouiiPcRxjy9l4J3WCVpmhopJaPRiPv7e9q25bvvvmcyGVOWBdfX10wmk//KZ8FBBx100A9TUoKR4ETAB0dwHtEnIQMBQtxb90GhVNon3ixdV9M2jqbukICRIZp6gBYBo8DikVKA9Fjf4K1HikBAoIwhzRQqKFrREnxEMQoRq1ohGnYA1raAwPsYQtK6rwUVgUe/UgqJEtC1HcG2+K6ha2u6psFJRfCWROQEEUAoZFCAQohogkkZuZhOBHyf/tMonIsJPy88on/cjxxGYQxCJ9GoC0SzzUtc0KA05tFU8wEtBSLERscQQEjFbrvDGINKUorEkIuSJM3ougaPx+GpuxbnPWkQSGko+pAVUlD3QSeE7HmbKSazpGnCaDxBSkHTNhBiqtRZH1OhUhN8oKsbuqrFWYu3HZ1ro3GIQBtNkqRoY3BtjbMSp1qMSdBJgjGRp2lMgpIOJeJrpo2LPosQGK1A6hjgci6a0a4HSIaAiBDRaM4G/1STK4Tszd2D/ks6HJk/oseIsNQCoxSJkqj+5t57j2sdso/6CmFiZZcSCKXxPuCDQGlDkWZkDEFKgoC26dhvqrjx1sbYcpwWkNje3HSEGAP28UIqlaZIM8qyIEkSus729W6KJE1IsxSpIoTVeU/X/uGkANBGY5L4kotYlB0v0koihUA4jyA+DG9dBNgKyWg4RGuFtZbRdMzp6QnT2Yw2hqsJwGK1ZbPbY63lw8cPlGVBbhLOL845OpoyHg3YbZa4rqMsS8aTEXmRI5Xg6GjGbDZlt4sLwTRN6GzL1dUV19fX7Pd7pBSx2jb4flGw4u7ulrubG4qioG1bNtsd796+ZTabMhrFyta7e0+iJYlReNuhtWA6LklMiu0EddUAMJ5MGY5GTI+OOD4+Y73eEfiOj5+uePf+ku++e0uWJjR1TZ5luK6j2e/ZVzu0hEFZUuQZWZailKDpWoxQZEUZjU4XSJIco1Ok0Ag04/EEERQg6KylcS2tc3T9cym2O/I88ikDIXZ2a81h8/Oggw466O9H11d3/PQnP6FpKm6v7/nxj7/iaDrl17/6Bb/79ltOj4/Ji4I0y/jmm2/4H37+c4qiYP7wgHeB/b7i+fOXEXzeOcbjIT5o9nUTzckQEEKQJAlVtadtGrabHaNRrHBT0jAZjRkUOYmEh5sbtusVTbOPQ0uhi2mFYHGtQzhJIkCXJSFRBCniIkIKOtvRto50kOO8RwtDmcdNxO16iWwLdps14NlUe4aTMV3bIIRku9vinKVrG262a5KkoG4C5xdfkKSGNM3JVMJ6t6dMMrQyDAZlnyTYsnhYkJc5wTlOj46RSrFYrvj04QNffvkjBnmBdRYtFOPhkLrac3x0QlNWtG2D9x6tFVmeUlUV9w83pGlcIDhvSVOND+5pwxB4aqSYTCbUdUU5KNBaU9d1TEp2jhA8+31FmiZoLVksFiilyLIUoOc2TchMQ1s13N3ecn9/T5IYhICPHz9SFBkXF2dcfr6maWqUVHGRe8BBHnTQQQf9N6/HFKQxOuIt8hznHNPphNVqhbW2r+3SLJdLJtMpWZYxm03Y7ffkWc7F+TO2+x3z+ZzRaAwQGUN9FZqUMhqLUvHrX/+aL7/8kouLi6fPt4uLC77++if86je/wnnL+dkZu/2OpmliNZu1SKG4vromSVKSJGcwMLRJw/HJKY3tWG33TCYTnLPs93uytK9gRbBarei6jkl3TJJk5FlKOS2pdztOj47RPlDtd7iuRksJziFci/IO27XUO4/SitFoiFKxcl1rTdXW1F2HSRKK0ZB9UyOzlNSkJFnBbrunqRpcFzlT212FVopMZWil2KzW1E1DW9WsOwdSoqTk7OyCRGsGRcl6vcFZh5GK8WwSmUrO0bYtUgi21jKdzcjLgqquubu7Y7vZcnJ2BirWoGZpgvMOrRRlWWK0osgzFvN7JpMpWZZw+fkK6wLj0RRjDNZa8jwnTSMvKu5BRHO3qipOT0+5n99TFjneBZaLObPZjOvra7quo6oqxqMh280aQUBJibUd4/GYpmnY7+PrFV8by3q9oSwLjDFcXd38aU+Kgw466KAfiILvIhpMBEKQBAQhxH1tQVxOqwAyKILUCC1RzhFswKoOqXQ0HY0h1Rp8ZCiG4GIYSQjwHteHd4RWaBmQOHBdbMcJNhqKSqGlQiJ6UypELJqPBmAIsULVGI1zFm10xJy5DilBSxFTlV2Dsy3BdYRggUDw0YgMDhwOLxUajZcReSZCZESGRIPtaF0HIaD6x6we05g9s9IDSipUmiJU9DFc2/XHLiC8w4UQ9+BdfyxcTBYqE4M3Axn3pYVWdCFgncX56I+EPpiljI7GYZqSJQVlPiDLc+qmprUdhoSsyNHGIK3BCRFrVJWO1afOEbyg3lc478mKnNQYnLV0PtbL4gNSxIpaevNZCtBKkhiN681f8cgKtR3eux5XIxBCPpmXQiqC6MNnSiO1BiGe/q6U8c8YMAOhYq2v6P8JwhFEb1Qe9F/UwYT8IxJCxI2uEEiNIdEaevPPW4/vU4MEgQshcv9Cz1MUGqk8QWqSNIO+n7q1Np4ISvV90cSbcqPiyacUQmqc9azWazoXyIuSLMlRWpFmWZy8k/LJhBRSYp17OvEDcRIiiMcJkIDSEVobQgDvsY8nhoDgLc7ZGKdGIHB9+iDFBwfkOO8wRkPweG8JIuA8dNZRVXvqugYheZjfo/UZeZrgnKWqK/bVLsbGvUcphXOW29sbVqsl2+2GNE04OprFOpfdjuura9Ii1tS0bUOSGGwXLxr39/fc3d3Sdg0CmEwmBB/YbffMHxakSYJSmixN/0/2/qzHtvTczsSer5vd6lc0u89MJg/JQ1KqI9slAYZd9kX9YAO+KF8ZsAFLVklVKIunY5Nk5s7dRbv62X6dL765gypIxzSKx+YRsQaQ2EzGzojVxFxzzne84xkUWUZmFDF42uZIWeSs5mvWqzW7fYv36YRgnWO737M8HMiLKaempesGnA10XU/fD5S54mKVbmSOxwMxkExpJSiLjLLIMFoiJcSQEqhVkZGN2FWtM2KQOBsBxXQ6Y1LN8C5wPJ1ohw7XtenXQUikkHgfaOoWZdToPf7Pk7lnnXXWWWf9L9dhd+Td9x+JwaEUvH37ji9ePecvfvRj3r79lvcfPrBaLbm4vOT20yd+8YtfcH11TQyRPC8oigJnHYv5InVBh5hSAH3qSPbeU9d12rjP8rSBKCRd25HrDHSkPh4JzlLXRxCBItPgA33fYtuaTGqqLEu9Rm2LHQbQmmqyRuWGvCiQWtFbi2pbBu/IlMJ6R+sHsjxn9ewa6T3TbkXT1PRtQ1s3mMkMj2CxvuKw39IdaqRQ+OC5/fAB1zmm8wWr1SU6z5kWBW3TkmnNYjZHSNhnWRoWGsEwDHibriUkgA+c9vu0pioFUmoGm/qZzDT1LzpXpA6PGBiGHu8tq9WCrmvph3bseuwRIiUcE741Xf/MZjPKsuBx4zidTk/DYO891qVU4+3tDZvNI/P5DGM0YRw4D8NAlmU8u35O17Sc9keOhwOn0xHwlGWJtTZtY85nfPx4k24YtSFRW84u5FlnnXXWP3XN5zOapqGqyqfzw2q1QgjxZEZZaxEIjMnZbvcslnsWizlt13H97BnL5Qo7diNV1YTd/oD3juXqAiHTotH79++fOiRvb285HdPf2e0SZvX16ze8//iex4cHYghcLlYsFgu+++47ZpMJMUY+vPvIj370Y7Q2GFOwfH5BNwxM5wvuHrasry5HnOxAkRccj8eEZC8KlJQINBFBfWoZ+oH94wN9XeOdZVJmBGfZbXfk4/1xSipmbHZbtNEs1yuCgPlygQuBIlRs9zv6YWA2m9F6S+8daE05m1BUU7z1NMca27d0TY0QCT+3WC5xm1StIoUYEXMDj/cPSCGYzxa4bKDMch4eHsi1Yb1a09v0Gh6PR7I853Q6oVXiUMWQ0G9SCjaPj0htqKoJp7pmf9izXq8wWoN39G0gy9JiU98PPHv+nK61bLfbZFQaQ9M0PHv27Ambb61Faz3SKw5oJdluHplOp+SZ4eH+jufPrrm9veXh/sjDvWQ6ndL3HVprQgh0Xcd0OgUSyWmz2Y3pF+i6brxOzGjHReizzjrrrLP+l8vbAadVSjgKhU93oE9Jw2DBh5SkiwKyrMBoRTSOQWmUkOSZpsgytBK4IRC9x0tHlAJ8ZGyYRKIwKhLDgO0j0Tmk1COCVaWAz38U9vm8OPsUC4oBgUaN9FhC6qP0w0CUEqEkduixfTfeG3uSnyWQ6nOdmieG1B8dIwgkITgIEfznlGdP1zYQIpnRlEVOnhsgGYXt+POiVKAMQifKYq7Snz56pE8EhhADQSVjFemQCIzW5HmOjYm45ONotgqSr6E13g8IochkhlSCLCvIdUFW5AgtsU1C5poiR2iF0BotFSakFKeXgqEfCCEghcS55E9Mioqh70fzMaCERJlEdZQmJi8kBKIQ+OCxQ48cEbTG6DEsljycKHXyX6RMKNcoUEqnEJiUKZAmRDJDhcQTETESReoQjSM1U+lkugYfCDHigse6c3XLP6SzCfkHJGVCg2kh0SJtVegx+ai1JoiQ0ofegVK4AME7KlOgTYaNMAyefqhRxnA4nlJ/VFGkYlkpKYoSHz1CCpRRKGVwIeKc59PNLcHfsr685OXzlwiRysyllGOUO72Fh8Ph6WZKa02eR3qRPvjEWJ76uYBVIciMQStJcJ+Ny4iREghIQCuDkBHvLHG8cI5CcNjv2e62FJMCkWX4CI+bHce6Zbm6wGhDnhe09YlcKz59eM83v/k1BIttWmL0aCU47g/c3d2w2Ww4HA94ZynynElVcDgcuP30kagNx7oG0tZJNSmw/UBkfMze8/L5c2azKUYZFqsl5aRiMptyd3/DZrvlcDxQZJpJYSgKTZnlTIqS2WSKtZJT3XI8nnBBMDjPzf0DeT6h6y0f3n9CKcmXX345RrB7tBYQPNMq9VnmuUYLQVVVZJlGG0WRF6AkQwjkRYGQCqJAIPGRVASsNFFIrp+/QCvD/cM929Meezwyny+ZTmdPeFbrHEJBNSkpioLFfPknPCLOOuuss/589PrVa6bTKafjgcfHOx4fLd4PvHxxzY9//BP+++2GT7c3vHr5ki+//Jpvf/sNTdNwcXFBV1WcTicWq4K6bqhm6aJ2tb5kdXHJdr9N3/t04nA4pIFX3bCYLhJyBYHtelw/oCRkShGMIdqB4CxSSvLJhO6UBojeDkgBRZERpMC5gWo+wxhD23eEGJlMJ/j6BFKQ5wVZWaCzDElCqNR3nsX1EiUFt59uGLqWuq5xncWpHD9iXbXJKBBsN/d0Y09DOZkRIgxdy2xa4fsBoSVlltF3DbmuOB1ODKZFC4kRimM38O7t9/zFT36cEK2nmlN9Yn21RgiRfvbYSS1l+veLixVCRKbTCT6kJScXwFnLzc0Nz58/ZzabcTqdKMsSKSumswm73Za7uztiTNusRWbo2yYtD2WGm9tPPHv2DO/BKM1kUXE4HKiqiuVyxWl/5MWL52TZF3zzza851UfmiyneRd68ec3NzR37XRr4uvONxVlnnXXWfxG6vn7Gu3ffj9UX8gmF+ezZM7755rcMw8AwDGmQJCVVVfLw8Mh+f2C5WuNsWvh99eo1u/0BrTJev/6CU10jhODDhw/pvl4IXr1+RfQeay37/Y79bosQgoeHB16+fM719TX393dst1uulmvW6zXf7faEEJlO51xcWIQYh1khDUu1KZjNlnz9Q0PdtsxmM96//0jTdAgg04oiy8iLIi05nVIFiu1a+q5PlCYBdhiYVyVhKPHW0nUdWiZU22I+A5kGnKvVEql0QryWBbP5HNk0nNqGYlKxXCakaZFXuM5yOm65uLygaxqOSrLbPiBiZH880vcd1idjr8gLoKPvWto6dW1rJbnbbBAInr98wWl/oJxUnA4HyqoihMAw9ioOXY8IkaZpeLh/4Gc//xl3d4/c7D4CkYvViug9h1MiK8UITd0QI1TVFGMMZZnSCpvN5qnG5vb2lmfPnj0Z0lprVqsVeZ6DCNzd3T1V4cxmM+7v71mtVux2u//o+kVSliVaCqy1DMNAWZZ8+vSJN29ecTrV3NyklGuMyag866yzzjrrj5d/MsJ8mmQLgfUJlSlFRAsBWiFVQGqNGyxKCARQGIMsS4wWqeZkjE8GUjWZj54gICqFygpE8Li+R2cKpE9UwBAQMoWLzDib994/0ZCklMQYx/AQCBGwdjTRYqpoC94TYsDFiO0HhIyIkOpEEtpTkMyDkJKIkuQb6DS/77oeSepB7LuGtq3puhYCSFEiVJnMPyGQzjKEgBcCDyN1D6JUxCiS+RZFMtSQRKHRRiBioiCKKJE6mXnSZCghMEqjpCB6A4CzPWU1ZbB96nQsC5z3DM6i7EDoO+q6wcVAJiUueaoIYzBS4H1g8ND2PbPJBBGhynLKooQIfdPjxjSjHEM6ekxc5lrgnCN4QAp6Z6lMhpAyEaSEwOQZShna3qGkGU1GnWphTDZW7QS0kUgR8XZIFThK4q0nxEjQEqEMUjB2RaaFa6REKJUSlGf9Z3V+Zf6APu+5CxgThJEoBFopjDFElT5chNI03YBzIXUDCElZTlBlxf5woDnV9MeaECKZziBKqrJMyBMC1qXCVjGmGn1vEcQUrc5Uwp5kGQjBYC0A5nMiYCxh1cZQGoMxhsx74qlLLj7pgy2GACoZl84OT+WtMXhEBHxAyfTc9IhC8c4Tgx8LNdJNjPeOru2I1uJjxNkeJUAScTaZlqfDgXfffcvD/T3eDVxdrJGTKR8/fM+33/4OpSSTyYSvfvAVTXPi3bvv2W63LBZLlFLc3N5yOp3oxl4FpdPjFiGVvzZNQ1kWfP3110ynE7abLb3tGbzleDpxe3/HqT6htUEpneLTJNSOdZ7d7kB97HDWPTGx26Hj+NDSNgO73ZG+s1xeXvHFF6+Zz6acdg+0zfEJsReJWCeJ3id0TpGhtEYag1CSShniuLVBFCipGT9f8UEQYkqaTqZzotLc3t/R9T15niOlwvtIUzc0XYvJDUWZs16vubi8+P/3YXDWWWed9WepVy9fwniTMpnk7A8bbm/v2G4fmc8mXFxdUdQlm92ONy+n/It/8b/iP/yH/4m+7ZhNJ3gfyYuSPC+ppnMuL6942GypplNWyyVt1zGbzzHG8HD/8DTsLPN83OIT5MbQHE84P5AZja4qWueww4gdKXKcFNRuoBt6stwwmcwYlOLm5obrZ9dMJhMeNhuEc5gsIxBRmaHI83TD5QNt57h+9QWL2Zy2aaimK/bbLYfthsNuR2d7VF4SgsXGQKYV0kec7zkcNnR9hw/p4jpGj5JpqCkkXK/X3D0+ogAZoasbhFRcrde0fc/j/QN5UTD0PdcXV0gl6YZuTDladruWoij5wQ9+wHa7peuahHmZTjAmp96fyLKCuq55+/YtWZYM34TCh7IqklFalhwOBx4eHpiWReqSCAE79EyrCQ/395RFSUdEjddxbd1y2O4gBoqioGlq1us1UsGnT5/IxuuvH//4L/jv/+3/iPc+IeLDn/iX96yzzjrrrD+o9+/fM5lM2e/3XF1dEUJa0o0xjp/lnyk9Aes86/kcnRn2+yPr1YrXr19zdXVN1/e03YBzjmzsk3yt9JN5dX19TZnnNPWJ3W7Hs+trYvCcTifevXtHXR9p24aLizVd047G5is+vHvP99+/4+LykhgFk2pGURaYLOfZ85c8bLbUTUtVTekGizEZl5eXfPr4ETdYnl1ekZuM6Dy27wg+0PWW6D1GSqJRFJmhtR3OWjJj8CJ1U56aFq0Ni+US6x1106Azw+rikmHosc7iRyrUejpJHdRZTm4KHu63PLt8xldf/ID2eOJ4PKaeaQGH/ZbH7YYQA3HElQUiUkkypZ4oSE3TEH1kvV6jlcK7Fu88V5dXbLZbjvWJ9XrNfrfDZBl5nvPs+pphGHj3/TuU0lRlQVWW9EOfZiFlST0axJeX12z3W3b7A3mes1qsaNv2iYQwDMNTD2Tf9xiTBqiTyYSmadKsBdhtt8xmU4a+I4bAdvOIVpLT6cQWnmhPfdcynU7ZbDZ4nxDyp9MJIQTX11fc3T0k5J7WWHteZjrrrLPO+mOVZuOSIJORhFB47xExdSMKASJGpAMdBwghNZ7EmJaATepidD5hT4WI+BjTEk1wKK3QMocYCYMbSXqpv1BpiZI6hRCdp/Mu/TwhkoEoZZqlC4ExihA8fdcmPKsAESJKifGxCD4D75TSKKmIJiX40rxaIoQixJTo9KM3wVjbRYgJgUpKIposxxiNVgrnPU3XIoTAh5AQq2JE1woJQiGEGP/7QAgJNxqlAKWSqQZkCeKEGyynpkVpg9GaMssgphn90Pe/9yhCROpxw4kESkWAVAppDCoEhNYpqOMcRmmKcem571oKMUVonSgIWiOlxvYJc++9x3s3YlMTNVAZ/ZRajEYilcKMXY2BRFOIMREVhIxjeDSO9Mjx74mUFhUiEoIcvRQHHsKQXnukIkZJCAHrEp7WmERjlHkypPXg/hSHw38ROpuQf0gjwzn1M6Zodogg8hylUw9THHsbhxAIIuHGZJYzmS8oygKpdEpDdpbFfMF0MkmIL5P6jgKRrm+xbgCZ0KBaxTSAm5QU5YTFYsF0NksfZONjkp8LZUduclEUTKfTZDI6h3VgrU2bFSFtfuR5jpEKKdLWRrDuqVQ1lbxKtEgYtRBjqqkcESgKiTaaSlQIKWmGDucD8+kMpTPKySwNGTvL4/093337OzIl+Rd/9Vf81T//OQ93N+x3j/zmN79GCMG//Jf/Nf/qX/1Lur7j3/wb2G43QGQ6nTJrG3bNbep3MGlQmGkzxrJ7YoxUVcWL58/J84y6PnFzd0s/pG2J3e4RFyKSsXA2yzB5Tt301KcWrTOEUCAlWZaDgKZrOTUt2+2ew/7E9dUzfvzjH/Lzf/aXLGdTPn3/O959/z316Yj36WTig0frFGGP0uCFRAo1FttmGFNQFhohFT5EmqZncDVSRFyUBKEQ2pBXFVfXVwxuIMsKYoS+6+j6ARc8Xd+R5RnTyYwXz1/+SQ+Js84666w/F7XNgbIqMSYVk0fmWNtzf3/DqT5ycbHk+tlz6uOB7WZLlzU8f/aSjx/ecbm+YL1cY4eB6XTOMFjatgMkXddTlCVCCtquZTqZUOQF795+z367o7i+pshz6mODJXVL9Yc6YUiUhqIkExI1xiGsVvRuIA4dQ/DIoSdmGdfX1zjnqE818+mU3WHP6dggjWE6mzG0PfvDHY+7HSEoZtMFy8WS1y9fs5yv6dqB1YVGSc1BSfqhpz4cKTNDYRSZ1AQfabs6IcNdJC8mPD7c0fdTEAKlRTpvVxPqz30IIzqFEJPp2XXYvk9mX4i4YJFG4aN76uOaTmdUVYl3ET3iYLTOUSqjqgRFMSMvUgc0JMMw4VcFWqeexslkgpQS5wba45EYA+v1GjWf0vcDd3d3nI5HlsslUqYOh8P+QAieoW8xRpPnGavVnLqpiTFyPB5p6jQ4zjJNjIIQzijWs84666z/MhRRSvL8+TOyOqxXaAABAABJREFULMN7z/v379OmfAh4n5Jp1jrm0wlt1/O/+6//N2y3u6fvEEJECsV8tsAYw2Kx4ObubkzFLbm7vWWz2XC5XqdholJEIsvlkk+fPmGMYbuNVNOSly9fcntzw+3tLVxdj8s4yXiTUpFlOcbkZFnOYD0RQdv1zBZLQoicTjXTyYTL9QUf3r/nuNuznMwQQtB1Xdrit5bgHXmm8Qgyo6FIPY1GK+raY53DB4uSiro9MZ3NyKuS7X7PbLkgMxmntqHtOsrJBKUU1jnefvsW7zyZLtneb/n6q6/58s0bYki9ia9ev6EbOrqhp287AglP5glPnZBGafb7PcNgWczmOOfYbXfYEOntjovLC4L3rJcrBmcTun1MmM4mU1rZ0jctddeyXq+pT0dijNRNzWQ6RUrJer3GWkvvLCZLPdBN07BYpE5PKSVFUbDf78nzfCRJ5SOGPUdKwcP9LVeXF2y3W+rTiel0yqSqEinLGLq2JXiXhsdEsizj4eGBuq6fEpVFkbC5qUO7pmkSHvass84666w/XlEktLgQCqE0QiiMSOaRBKQYexEREAaCt4TRbIxEhAi/N8kihLE30Y0dhwhQPhJdIErAR9ABkWooE26cRA10IdW1pWY2DTIFlkLwRGTCtMaA98mgUgjk2NUIyTyTMpWjJXMtYV7VGD7qhxQgCjFChIgAkWhCQQTwaeZv8gKtDVLL9PNipBsGYoy4z8nN5AAQgkDGMbEpkjkbRnPys/kI6fVTSiFiINpkMDo7UGQGk2VoqSCCkhJrLd6naywtDVJ8Rpsmw1AoRRFLnA+oLMMDLgBKoUyOGjsXdZalXk3nEUqlAFQY3y8hiKNRGpUcTV+B0JosK1CfU6lA33bJz3EBJRxaSoSCvCiTgSlTJ6RUadk6JbSAEPHBJRpjCDjvkUoijYHMpNdKyhHLOr53Mr1felxqOus/1dmE/AP6bPi5kPi/eI8ajcBUtTh+nYgXAqEMQmmiTO5+UU64WEuaOvULVnlFbgqijeQmoyzy9OkYAsE5nPdEGzBCok3OdDZnOptTTaeJlTwiPz5LCEFRFEgpUzJz3OQbhoHe2nHLQpDnOWVRsFrMic4TvKOpDYcQOB173NBTGUH0Eec9IURi8MSYCNg+OKISTOZTJvMpSis2mx37wxFvLSZXCXM6XxBnkeZ0INeGWVVyuVpR5in+nWcGAWnzcBhomwYIqWszRBCRq6tLFos599sddds8PQdEeq3btkHKhECVCrq+fcK9fLz9RPQeYkAJKIzG5CVCKSaTJdOy4HQ8Uh9PxOgppxMEcizGdVhnOTVHBt8zmeY8f3HBq1eXrGZzuv0DHwW4occ6R5QSxhspG1MqwpgMTAFSk2VTimKC0RlSpZOjynqCLBBSMl+t0XlJZx1d26N1hlYG53xC5OiMwSYcq9KSvu9ZXSx5/vz5n+hoOOuss87689L799/ykx//Jcv5lLZrePb8S66vL2naI3V9YjZb8PLVK46HPY+3t9x9/MT11RVv3rxBa80Pf/hDbu4f6LoOaeDxccPq4hKdGU71ielsyjAMHA4H5tMZ19fXtMeW3W43UlUE1g/keUae5biho+t7onOIEIjBs318TLgRCYv1Gh8dg3NEH9httwkP6j0QyasS4QJte8S2HVIp+mFAh7R9aLsGX5X8v/7Hf8/Feg0BZtMJz64vWUwLlrOc794OtM2JZnAUWY7JMoqiIC8qvIPTqebh7hN2WPLy5Ut8cHx49z3SZBiTo6SkG4eWs8mMtu/Zb3ccTkeeP39JkeVYL7C4cYsxld3HCDFK1utLIHU7Ho9H9vs98+WC47FmMp2QZRlNc8J7j9aaySQNBI3WT2lI7x1ytWSzeWAYOrIsYzqd0PcLJuMw9XN3V1GUxBgo8oxh6JjP56zWC4pjznI5p2177u4e+Pjhhp/97Gf89V//7VPHx1lnnXXWWf+0VZYV/Yj0zLKM7XZL3/dst1vKsmS/P2BMxnw+RwvJp9s7fv3rb1BKs98fsNYzDAPOp837x8ctJitQStO2LS9ePKeua+q6ZjGbIYCyLJlUiXj0/v17Pn78yJdf/hWvv3hJXZ8I3vN4c0/bdrx6+Yahs3zxxVdok1N3PUoHTCboBst6dUHbdwzWopSm63pmk2S0XV9dg/Xstgn/7gZLlRmMhKYb6GxP37XMZhVWCO4fH4jOo7RktljQdxoXHE1bE0QgL0pi8Hz39i3T2QxvHcf9AYmgOTXoTBGtS0NYGbm+vOLXv/wV7anGeUtZlfR24NWb11w9u+QX/+E/jIkNh4oKOQ5TL9aX9H1PXdds9ztc8Pzg6x8SXeRh80h9OmHy7Glher/fs1qt8N7z8ePHpy7HZ1cXNE07YtVa5rM5h+OB2XxO8AEhFEVRoVRKO24OdyPNQJLn+VMK9nA4PBmRCbnuyPKM1WqFc5bLy0vevn07JmY9WZYRY2Q2mzGdTjkejwiRUKxlWT4lIGOMvHz5kuPxSF3X/MVf/AXfffeW7Xb7pz4szjrrrLP+PKTHpJ5KiNCIJM+LZOTFiCQiQkDgiTaZSSEEAmNSf6w0U1qCkMnokwKT5+RFhkAipEqVbCZDaJOSdiHirYeYgkFaZxiV5tzep6T750RkCGDtAESMUWgj8c5jZJaWlmJAjh2EPkbarkWqESUbIt751EkYIMSRGatSmEVqPeJcIy4KAnI0YyVRJnyrAIgR7xzOO4zUSKmeFnJjAKRCKvCeZJ4qhRY5Sge0lKiERCQMFp3lrPKC3e4BJRXE9DO0VERl0lw/RhhJCgKJFMl6CgSU0GitkRqkydBap4RlgFObSBFKa1AyhaeUw1tHGFOlKjMIJdDRJHysTHMOF5KPYooyBbN86s/MS5VMSJ/Qs8pkaFMghU6vgQCPJETPYC3SaKJzhGBxg6VvGqJ3hBgRWqGjR6nUH6m0JghBiIHBWQRh7KT8UxwM/2XobEL+AT2lDkmb9lIrSp2Qp0opgkgbEVJIclMgTZ540maMZfuAtQ5nHcFFmmNN3/RIAbOqStzosWw2uDDGwCHPCvK8JNMGiUgfPDJ9iEkp0Eo/Pb6279IHVn3CDnbc2BAgDHmWzMfscwoyy8hLjXcOESPN6YQcC1WDcwSRDE7vXIodkzYXU4lvzmq55Or5NdoYYoC+7Wnbjug8Wgim1YRpVaERGCS2b2lONb/51W94//477u/vkVImvOnpxP/wP/x7NpsNd3e3NE3Dl199wc9//nOElPzy2+84NvXYy2kwShOcHxMTE7744g2vXr3i4eEBH8LT3/XWYoeOaVmxWMwRygCC+WLF119+xXF/4ObTB/q+QyjJqW2w3qatERG5enZJ3w2oTPK4uePDx3e0sxm77SPN6UD0Ln0oCgFK01mHl5ZS50yrKUU1IfhIns9RKktbrNZRVBWr1ZzpfEUELq+fk5cVx7rmUNecTieapqEfLLodmM0WT6ZzXpSpy6Iomc3mf5qD4ayzzjrrz0xlkeNcxzB0HOsDUQROpyPr1ZosM3z8+JHT6YSUEts0VFXF/f09P//ZT/n4/gM3N3cUkyn7u3uyUqFNSlTMy5xCl7RtmwZbUtE0DQKYTiaEvGBSVZwONXZIGNb5bMbQaToklo6YQAUoY3B9QEhBXpUgBbLvIUr6YUg9SVJiMgM+Mi0ndG3L4XhCSMlsPuPl8+d89/17vLNsbgaCC9TbHcvlAlxP3Z54//47ou/pmgN1faLKCwKO2Ld4QGhF8JLJpGQyqei7jrff/Zb5fMZ8NgNp2B+O9H1PNZlQFiV917Hd7VLCIMsSBi8EloslnzY31PUJpTTL5TL1Sbctw2BZLlYcjyeUzHj96svUxxEPT6allBLv/djjBRBx3j4Zk1mm2dzdcH19RV3X7Pd7rHVkWZZ6I0ZixN3dPVIq1uslWkHTpOHjfr9HKcF+v0dKjRAwnU6RQjGZVKnHwp0xK2edddZZ/9T18uULvv32W+bzOXXdAPDq1asnbOfd3T1VVVFVJduHRy4u1vT9wHa758WLF/R9TxxRYcPgElbdDiwWC+7uH9jv9iwWixFz5jkd0rkqBM/d7Q3L5ZK2bfn06QZkpK5PtE2DECIZVjpj023T/XSE07EmL0qCT7UsOsvQ3uPGc9jnxSYpUhpvsVghgJubG2aTCblWZJMKGROKPGhF17ZASnQKKRBSkRcFWaHp+5ZqKjkeTxweHlit1tiuT6kHqQjOcTwcsdbx5ZdvmOQV7999RGeCm/cfmU9nHI9H5osZznketw88PNyilODUNgmf7iODdZRFSVmWHE8ntFLMZjO0NHR9z/ffv+XFqy+ZTqepU3O3Zyh7Lq+uEEpSn04JIxdCIiRlGUana6ePHz9hbcKyvXn9hsGm16iaTJlMJmy3W0II/OhHP+L29hZr7VMSNqFRU9WNGOtohmFIfVASnLc8bh744os3/OpXv2I+nzMMPT64tECWZ3z6dMR5R1VOmM1mT2lKgIeHB4QQT9eS3ju0Vmcc61lnnXXWP4aEhDGBFkkYUGOylHwUYiQZRoT3yOgQ0afS5RhBkhZlPClM9Dn9ZyIyRgiB6CMxRJzzCBGQIiZEpwvEaPEBtMmQikQz4rP5OM7VfUApOZJ0AoiIEgKZGYwwSCkTgVCK5AuEhFL9HOX0iLS4PCYaIwKhkjEqpEoJzJHMGohjDdnvk4JCkHwEBJFEO1Tj4rBQ6edLIUdEacpHCiQiqpRaBORorH3G2WuVln+XiwUiBrRSBO+xw5B6nMd+RqQAnZ6XkjLVwXmPkMmvkEqjjQaV0pLROrrBEkS6/lAqIWyFSmh04RwxSoxMSUQxvmbOOwY7pPc/jGnJELA+pGejNSIKBKkmLQqZAq1aopVOgSERccHhnMW5iPcO7zy277FDDzGitX66RtAjUlarHIkEpRIWF0kYE6pn/ed1NiH/oNKmgVKp9N0oSabHg4qYBnNPcWmNzswYuY60XZfKzx8fOez32GEAndz2xWKRjEGdXPxs5D4rHxBaMa0mFOUUkxWYLBu5yTlCJSRqliWzEyJ1XRNCoB+Gp028siwRImIyQ1kVqcDV9hyOASM1wVrq44H6eEqdTiF9ZCkjUVJhY8CGSBhxqCEGgne0bcN2s8F5z2G/p+taok8H53G/Q0vBbW8Z+p6uObLbbtg+3KG15PHhjru7W4QUvHjzmquLCzaPj3zzm1/zuNnQdS1ffvUFJstw3lOVZTJnQxhPCGk7RBnNZDLh1auXfP3110/vVAyOQHqsatwk6XtLcJ7L9ZrpfIU0BVG1VLMlF1c5++OBYzegjaKoSvQwoLSmLEokgffv3xLDQJXlNLs994+3WOfIzWTkZ6cgq1aK6XTKs+sXFNWEpu3BKYwpkDoQgel8xWK5oO26tGFZlCOiteZ0PKZEZ9dxqmuEbAFBWVXMFwvyIoeY+jiL/BztPuuss876x1BvOz58+oDJMmbTVKD+7bffslqvmExmfLq5oR82GKV5cXmB1S1D37Pb7siynE+fPvHy1SuqquB0OnB1eYUSkaHvnlDgk7KibVuO9oBWmq5uKYuCajJBK8Nus+Xjx48slnO0+owzTVuTSgiyPHUpdm2PVJJqUlFUJdZFJkWO2x9omzqd+1wakNpuIDiPtQmDKqPgxeUVbddzOpyw/cC+6dje3RH8wGI+Zf/wQIwW27ZoISjyjBAi/eDw0WMyg5Sa+XSJiJHN44a+74jeczrsuLp+ySlG2qZGxEBuDM5H/DCQlyXr1ZreOur6xPawZYg9eZaT5zneOTrfpZ6LEHl83FBVExaLZcLLFTkvX77k46ePeGeZzxJ6bhj6sXcpQ8iSpqlp24a28Uip2Gy2WDtQlhVd1z+ZkJ9TkAnnKjkeD8ymJVon/Pv9wy1ZZvAe+n6gqTum0xmr1ZoPH2/5zW+++VP/6p511llnnfX/hbwLfP31D5nPZ8xmM4Zh4OrqiuVyycePHwkhYoym6zrevHlDlmXc3N3x4sVzppPpiAAHJRVFMQ7FXFrUjcFzc/NhTMPV2L6jLAomkwl/89d/MybpPEoZDocjQsHV1SX4yL7uMEan8yiew2H/NNybz6bIcThY1zVlWVJUBc45uq4DoB8GyixnMpuBD8xnc25uP+G8pSornB1wNuFWQ4xpNtEm7LhUaXjpfUo0+BgQmQHnOTQnlDRsHh9T8sB7GlunZOjuwLNnz1ktlnj/+xlEjIGbm4/MFzMeNw94P7Dbb3HOMZtOkUJSNzVKKZbLJXXdsFyt05Bw8JRjGuPTzUd+8PUP+PjhA5KU2miaBmMMh8OB5WrFfD5/Wtx9fKjTeVsrqqqiqCpubm64vL4ixshhv2c6nzOfzTjsdnjvUw/nhw/s93uur6/Jsoy+73HOUZbl0/t9qg90dkAqgXOO77//nulsyul0ZDabo5Si71NvppQSRTIz0+sBWWbYbrdordMSmhDc3Nwym03Jsoz7+8c/1SFx1llnnfVnIykNShmkNslbDKmKDNIkPxmJHoLDEBCfcaljCjKONJ5hSEETpQ0IlZKLo+kXI8gQcc4ldKmWoBIpUSKx0SKUJ8hksik1mpAxYl1KyBsDzqVEpJQCo9O59zNcJ35GliqFJieSzq0hJHQs4zNKiclkeCVjU6CUQZDOowRJEA5CCjHB7/GlUmu0EKmqzGSpb1GmHsXPvYoRiQySKBlr3wRSgB8GpAatDMSAdw6lNCIGlE7XGULIlDSUMiUg9Vi9EhJNEiGezFMlZEpB5gVx7KT8nO4USmMygxCRvks9m1mRE61kCB6ERCuF1iq9dl0yR4WUBB8YBov3AR9i6mkc0ajp64zIVcEwvsdGiYRSjRBjwA0Dtu+JzhJGtKwUAq0FwQesswQrkb5IuNrx+WpTIBHjdd8Zu/4P6WxC/gFJnVEUJZqA1pLcaIwatxoQJPTyuJUQwHYOATjhiNbS5Rmn+sjgWtqhJctnzJcl5TSjMhnRe7yPaKEo85IsL8nLkizP0SYDkQ6sdJClkvoiz9FZ2syP0SOjpO87XD9Q5inOXFQVeTmhmk7I84y+H+jqluZYM4yDx3q3Q0dJlWcUWqOVR4SQNhJUwDmPdT3EscC2D5zqA9a5lNYrUt9l33d439C1J95//1s2DwkdZ62lbxv6LqVM+t6Ow8CC69WSn//4Rzw8rPjl3/8tj3d3oBTfvn3L9nRCSMHdzS1KyLEkPt04uegJQDf0PD4+8qtf/opPHz9y2u1xXUdVlpRFxnSyRkmFMRmTqmJ1cYkwOdu64bsPqZtjvn5ObDzVFPKiQBnFMPSc6j1D3+Jtz8cP7/j2t7+kMBm5UUwnUzKT4XyXPuy9ZpJXKCkolOJiPkeXFadTjfcD8/WM1eqCqLJUdZsV9F3LZr/jYbehr2uCsygROG5vqY8brEux/q0fiOtLXrx4xnQ2petbjrsdmT6bkGedddZZ/xhqho5nr14wm87IspzHzZYf/vgnTCcTsrzg+cs3PDw8cNjtOR4bLhYzog/cfPyIJHJxsebx/iOL5ZJJLtk9fuTy8pqJLvFB4frAvj1g8oyimvB4v2E6nRKFpOkHBBFT5KwuL2m7jrq1RGsxMRJtoO0bjAQtJC5EQj9AZlCqQC5mHE415DmF1gQ70LQtwXv6tmV9uWJSljxsN5wOB2bVJa61TIslwR7o2poYLF3XUB/2VGVBUw9klGSFJvQBIhihCdZRlhnL1UVKEFiPzhV5NsEN6friY/1biKDHjX8xDDghsAGctYhMU3cdxWTCZDqhEBlFWdIPPTJK1qsV948PEEO66RiadJOgIta1dI8HXj2/pm3alCwYuyCNUdi+pShKrtcrmjanrmseHhqcsxhjcC4SY6TrOqqqeuqgvrhY0vc9h+Oe3qbFrihgvrjAuYAxktOxZrl6/pSY+N//N/8N+8OB+9uHp+3Wz+nMRM84JyTPOuuss/7pSKaNfxQX6ys2mw2TyZS2bRIaNQSkFGlg5S113bPbPHB5dcXF5YrZtKJrT8zmS+bzOX3fs98fUFoxqRTb7YbZJOfNq2cURYkgpQp/8pc/YzFfEqPg4eGB3X7L5vETtrNcXV1x2u15/+4tVV6wXq/Z7e4pygqlIjE4iskEYzTRWZyzbDY11WSK9R7rA/P5EiM1dghpqGlyLl684HDYc2waFILgLIKIdwkDp5QkiohQgkDAZAWeyKE+0hIRVcHQD/SHA9IHhq7n5z/9KffbDbe3d0iRzompS9NR5JquPQJwqo841yJioGsacmW4Wl6w3WxZrJYoNEVRMZsvubx6zmG/px9sQrR+TlHYgfff/i5hUonYoaM5CrphQGeGu7sbvE+DRqUUs9kcqRRZllHXNVWZlnffvX9PVVVECc3pkIaDSrLfbVmtlrx88QzvBo6HXap3ERGtBKdjSrXOZxOMlhwOB47HAyEGjDZIKbA2pAWlzrLd7IhBsFisGIaBzWZL2/Yj1tWgdTYuPyn2+z3T8VozJWTOJuRZZ5111h8raUqUSXhRrVP9V/Cp0kTr1O/Xf6boRI0bSYcICYFUaSIC2hiEBOEjBFBC42UqfhQh8HnxyMdUIUbUqa5NqhSAiRKCI9PpnJQwrB6pzbigks5x1qfFFesSMlxJhdYGLRRKaYzJyHPJYAeGocV5CyRcq0xg05HSYwCJj2I0U0NC08YBoSQEjxFATAZdiBFUMhUdiahopMBkKvUcCpKRiU6YWpnMWolIhqECKSMqghsGejcQosVoxalrGdoGbx1+TGwaLYFUq6akohv6lNhUnmKkGeisQBqDNBkhggFyIUaaaxhJRBUxRrx1IDRFPkOSZiIhRDIpKXQGOtB7RxCR3GiIEeeGhEUNHqMNUSksIQVFpUSN9+3ORmSQODcw9C3B91jbwliHozOFEpEoBnQmEVITMo0TQIhkeU5UOag0p5cxoWnP+s/rbEL+AaVMQkq7KZFSCVqNycAYkGPUOpL6hXz4zICODMZQ5BnWWoSIZJnGZJIYLX3XEHqLd4lr7H0yMaWWFFmBMgapFJF0kS2VRAlJbrJkgjlH17cMQw8iPpXbZllGnucUZYkyakSNeKyzWO+wduBUH6mbOg3jtEHGVPiqRtRrQpUpTMzwpJL3QIpxfy6U1VpzeXmNHHsUttsNp+M+JfqaE1IKYkjGbcw0zgny3FAWGW6wfP/2LdPJBEaEa1mWtHbg/uGB7fGAVIrT6YSz9vfJBWvp+i5hY0Pk5uaWvm5om4YYIov5bEyoCjIzxumF4NXrhG3V2nB3d09nA0JJHnZH9seOxXLFq1dvaNoTd3c3SAwidhAi0XuGtsP3PUwrKiLKKLTUafPEewSRYAfq45HN4yPlLG1ODHbAuQ6TSVSW0XTpfT8dDzT1Edf31IcdRinmkwI39HRdizYGNaJh2rpGjomUvm9pu5bow5/ugDjrrLPO+jOS0prD8YgPaWsuBnjz5g3T6QxrHUJI5vMFfdtx8/1b6qYhMxlZlvNw+4n5dMJqveB02DNfrOj7jt32ASEVl5evcTGduxiL502WYbIsLdjkGTKCt54QYD4vIAbaw5HD4wMqBuaTGXibKAxK0fYNXd1QKo0UksVyRZwv6Jqarq5RRnPa75GZpms7cmOYFiXHU8t+d6DIJ9zcfKIoMozORlR8oG3ahJ2JAjs4dttdQq1khigETdtSVhU+RF69fsX9/QM6U2hS4X1RFLTHBklCuSzmM/I8YwiBTBpUWVDMZpRdR5AJh0oIZEozW6c+pf12S24yuthz2G7J8oxiUgFQFhX32x1aKYqi4OrykmHo6YcO5yxSKB7u75FSkGWGwVqeP39O3/dPvRwx5ggB9/f3T33an5F5V1eXSA31qWGwnjwryDIFCJ49XxFj5FSf2O22GKP46gc/4PZTwss75556oqQ8F0CcddZZZ/1TktYGJdVT558Qkf1+R9PU7Pe7tMhiLUopTscD88WC6XRK33Uc9juyLOPy8pLgUwrRe0/bNjx7do0LHTHMsLbH2oHHx0eKouTF8zfM5wuOxxMiSr788ismD1MyA13X8PDwQFmWfHz/jtWXXzCpSjabLYvFgrbtORz25FVJZjRCyaeUXvAeIlxcXOGspZpOiMPvt/6zvOTZs5LNwwOn7ZaqyMm0RmWGEDxd0+CDI4Yw9jdlqfOqKIiHPf3Qk+UFMsDxcUcIkfqUTMe8KHAuYchOp1NKLRARApqmoalr9LiU44aB3X6H79P59/7ugazIaZuOw+HIxUX21L1YVhVD143PzeNsHElyiqtxQasQOVIpXr1+zeF4oq5riqJI1xKQ3p8QaNsWMfTMZzM+fPyIyQzL5RKAi4sLfvObX2HtwJdffsmLFy+4v7+nbVuKouB0OtG2LXVdp64qKcmyjKur61R/07YYY8jzgoeHB4Zh4OLiCoC2bSnLkr/8y7/k9vaWtm3RWjOfz3HOMZ1OWS6XPD4+/kev3VlnnXXWWX+sfBBEZCIQjcRCKSB4hyDghwGBH5dnPNa68Z4tpQmFVDjvET7gbOoMTHNkhVSRsTIQEccuyZhm/en8F1GCsTItUV6ronxaUEVIUGC7DusSBlzIhEYPwSMk+JDSh4i0EIVUKGPQQIiBKERa0CVCEAgUQmik1CDTvaqQAmRARgVSpoXY4MFZBCo9JyIxQvhcM6c0UpsRGyoIRETwKVE41sU9/ZnyoDBSFeL491AST6qiOR0OOOtG888yoUJrRSDiY0gmKOl+2TqHNGnWHmPEIJDaJPM0Mj6G9HOzLCfGSO0cSEGeZbhhGBGtHuc8wQVEhCLPRgNUJcqFNuhxgUjKlGiN0eN9SsfmZZ7Ii3j6vqezfTIuY0wz+dFojtInWpUIqS/S5HidE3RGQILURCnxAGF8jf5Ex8N/CTqbkH9AcsRtSpkOQCUFhEAIKWrtYsRHCCIw9IHB+vThIgQU+ciMTmgVgSQET1PXdLTgBP0wIFUqTdeZwUhDWVVIrYnEZEKOmx3eO/q+o+0aTqcjx+MRaweqSZXKWGNASDDGpK3OGHE2xYCFSBxoIkzKEjeZIJ1nYgxlWSZ83NBifUT7gNImFfCaDKkGYvAIIZhMpszmM8rJlPn6Auscj4+PeOfHjZPIYjZHKZlu6GT6EDmdTskczXM+ffjIt99+y83NDUJK6q5NWJOho+k7XAw4HzjVNTFG8io8sZe7rmO9XDKbTnl83PCbX/6Sqih4/eolX331Jbv9jtOxRgiJHJOQr19/wc9++jO8DxANWpUQYbvZIaTh9Zuv+fnPf8b94x1IQVufcCIV+lZ5AWWJEFAVFVJInPNEIdE6bav4kExgdzry+PDAbEyhfPz0keNxj3OOq2cvGVyg6waaw47muMf2PX1bk00rtBKYzJDnOYvlkqKY8rDZMYw3tGVVEGPEWksz9pmcddZZZ531x+ny8vLpHLXZbJlU09RbPJ/jfeDx8ZEQAmVZ8ubNGw7bR47HHVlRoDPD+w8fuLhc4X3a9JvNZjRdR9umtJ4yOVGQkCJKY4whxkgctxKl0mRFgZKauqmREWbTKYWUHLYbdrs907JgOV9QFjnv3p1o+p6imqFdpChzTJ7RFjknY+i6hm7osfstcQh0Ny1D17FeXVKVFX0/cHGx5v7+FiECk8kEZwf6vsVaByIhVYwx9E3qPdSZQY6PG2C32zGZTNi7Az4I0Bp8urkoyxzn0oCzPtVkZcl0OuXQtgTrWM4XBAlt3+OcpalrsiwlBSJQVEXqhhAwDJbHhwcGa7m+uqYoS+7u7ogxMplMiAS6LvVctW1DWRZpGcwnJLv3nvl8TtM06Voiz9jvd+Mgunq6TgkxYK3FKMNyfYFAcjjUOOuoqily7H94/uIlWZ5xOh35+T/7Z/ztX/8dp2NKgKSBYiBdMZ511llnnfVPRV3XkmWaYRio6xPvP7xntVpRFMmUnM0mhJAWUiZ5zmK+QEr1VHEipRzPI9B2PcvlkizLqKoSk6eBmrOOzWbDZrPlL374Yy4uLlgslkgp2TzucM6xWMyp64rZbMLjwy1d19H3PUIk3Ke1lslkinUJ/xZ8YPO4QWiFdY71xZpT3aBkqonx1mKUpgsdRZ5jhw5rHcpIVosF9Kl6xWvJerVkUhUjPvYjMQSuL68QSjOZTjEEolac6prjfk/bdAghyXPN7373LcJoXrx+ydA68jwnxMjQdeR5xmw2Y7vdUpRFGuJ1HUVZIKWkbRqKssRZx3y5YLlaPV1T3d3eUlYVdkwzNE2DFmByg4+BLMvYbDa8ePmKw/GIyXLqY818PqeqKjbbbSJFGfP0Xs0Wc5qx//LZs2dsd1vej6lI7z3L5ZJ3795xPB6ZTqdP84XD4fD0uMLYe5XnOVmWlsk/G5IhBO7u7lgsFhwOhye8e1mWxBjZbDb86Ec/4re//S1d1zGZTEYag3vqDQWeOijPOuuss87642R9xAbQQo1Ev5QCFFEmDGsMyZSMEef97w0umeq+pBx7IIVMhpyQI7JckmkFTwacT/2SQeFiTMlALVKKUI3zdpNwrimwRPrfzhIiySyLkWxErTvv8SECyawUMqJ0RAqBD2P3o1QoZcamx4DwPOHUkTIZlJ/vPYVMhqEUyKAg+NHAjIRkc6Z+xCckajJaESrVjEHqyRzNVUQyVqVM+UghFNIHvLXJSPQWSaR3A3Xb4mPAGD1GuMbznIgIpZ5wsEJKfAhY79DeE6XD2UBvHUVVociw4+sihGQ2KbE2mYJlVRJDZBj61GFpDDGC9QPeeYRI52nGZWc34lgZX6EYPBGBlgKjDUYryipHCIH1jiEkg9hkhuhS57YUAt9bXLAgBWWV4UXEkryCvCwxxRT/uW8zJIqUEDIZSGf9Z3U2If+AFIkRbESKWUtS+u3zADGGFG12MSSMyzh8y/KMssioygKtFINJNz/EgLc9NoDtA856siKnlCL9WVUpxag1zjtCFCidjC5rW07HI03T0LYNgYQG884iVTrYI+A/F756/4QP00oitCYoRR88Wkny3DCbzVnNFojoOewSzqWzHhXTgeRcij3HCMEH+sFTOChQ7PcHdrsDm8cH9rs9BFgullxdXqKU5LBPN12ZMdSTE0VVcHV1xcXlJb/6+19yPByw1nJxeckPfvg13394z9/9+ldIKajbGusckTgORkX69xiZzma8ePGC3WbL/c0tIYAxGcfj6elmLkZo256+c+x3B+q65+rqmtevApNqwWaz4eFhj84K8rJC6owsK1nMVyzmc6LtGNxApjQxL5Aijh9EkhhBaUWWFUhpcB6kkBiTUVYly+Wc6bTi9uYdtx/f4/qOpj4ihKYfHF3f0R532GEgOovtYO97uqZBqdQXuphfYH1ku92x2WwwmSHLDd55mrb+kx4TZ5111ll/Lkp9gEfatk1dwy9fsdlsAMHLl694/vw52+2W4Dz5bEpdH/A+sFqtEdHz3be/4+bTHSbL+PjxIy9evuZ0PNF2jsUiUFQTdJ6j9Ngj7Qb6EDBKY7SGIEakp6LMC/qmRWrFfDbHCEFrDIfNI8EOZJliPl3Q1jXdsWE6XZF5GOqGY32kmk/54U9/RNu2/D/+b/93Hj/dMFUZhcnBBaoi9UtfXV4yn0+4uflA3zdU0wnaSLquYbt9RBCRUjKbTqnbJhEJtCa4wND3WOfZ7Q+8fPmKpk5LP7rImC0WxBDouxbrA03TIrWm7R2mKBEhYoeBvCqZVhNOzmNMRt/1tH1HUVXYwdH3A9PJjDCJVJMJ1jm6vqepG6bT1AV5OOwZhoGiKBASiqIgxmQqf+5eUlqz3+8Tfsd7mqamLAsuLi7o+45vv/0ddV1z/eyasirZbLc8bvZonbFaXhALyfFwQmtH27Z0fZ+6oYLneDzyz/+rn/Pv/u2/JY64F+Cpg+Sss84666x/GjoeD3if+pKlElRVxQ9+8CXDMPD+/TtC8MxmS7xzZNowDAN5nidzqSiZjR3EEahPJy4vL5nNZmlxaVbiXWC3O5BlGT/72c9o6p7tdst8vmAymdA2I55Tp3v17XbLcrmiORzRWj8Zd4O1HI8HNpsNeVkhNhuqyYJqOgFI94B1jdKatmnIs5y+76nrmsV0Rhxx6DIKjCl4dnXNVkh2jw90usG1HX3TUuUVSiskJBJR2/Lp8Z7F1QX/4q/+iqHr+b/8n/7PdG3DtJqQZRmmzCmLkkylRKHJMr7//nv6oUcowesv3vDdd9+ilKScVBwOe8qqAgt931NVZVrwms3YbLf8u3/37/j66685HY8okahP0+mUKi9SmrQqE7VAaT5++IjJcibTWcqeeFDSoIRmOp3iXDKAp9MpwafFZWMMZVUipGA1Gp8fPnzg2bMrnj17Rt/3PDw8UBQFeZ6GkJ9NSGstdiQxfU5FWmup62SAvn79GuccDw8PNE3DZDKhKAq6rmO32/GLX/yCH/7wh09fL8tyXBy3T+nPw+HwJzsezjrrrLP+nORReDRR5kSZQj9aSkBh3ZCCOkQiaelUa4M2GdpotM5S+Cd+zgqmTkYpkzkpjcR7i7cWYkQoidJqrDAzyMygdDIzoxBkeUnvPM7ZlDYUKR0nx2QjRLIsmZDKe/rBkaL/vzcVI2Dd2GmpVApBEVI/pUxGnhyNvQB4IkqqMTTFmJiUxCBBCYJ3TyQ9qQxKK4bBQRS4IJ5oj0KC9X367wXAiEUNYK1HjfSDGD0heiLJaO36Hu8T1WBSlEQf6NqGfhjw0VNNJxhtUj8kEuE9ApFSns7hQiCIiHIOlHpCx6b3jNFIjKiY0LpxfF1EhKACAZFqz6RIi99aobUm4pACnLeYLCHffUg499wY8jwDwphYDEgFBp3MUi0QkWTg2oRsjTYyeEBJUBqlMrTO0MbQtwOBAFGiRvxsEGcT8h/S2YT8A5IiYpTECIkWAjEyhLVUIBUxBIILEANaKrxKmxaZSQNGrSTEtJWf+NRu7CbyZHlOVkiKsqScTiirKqUgx54DP6JSICaM6rGlrhvarkFqRVmVZEWOTJ8HaeMiRJx1T8ad9x47DMnFd5ah61NUuusgRqpJxfpylQp7Y+B0OtL1HT6mi3HrIz6AMhlCSrTJiFEw9JbNfsf79+/ZbDYEb5lOJsymU169fEWeZ9zd5dTHU7p5UZrBJ1RtURT84KuvRrMwklclOs/ovOPX3/6WzlmsGz+QSQsZftwqkGnNhCwvUgF9UTBYy4ePH9luC5arJc+unzGZzNludjgXub9/5Jvf/A6tihGhCsMQcCFtbrx7/xEp9ZhaFWRZQRyHpRrBrJpQFgZVFGMBsEQKg5TJnEUqnEtR/37ocNYSvGPoWnaP93TtCecG8iJ1fsYIYWiwbUffNriugRgTAjfL0rZlnjGfzWiajrquubu7ZTafEfDU5yTkWWedddY/irquY71eJyyLSFj1NFzc0DQt0+mULMtYLBbUhx110yKUppxU7HeKsqpwY3qit5b9/oAxGc6lGyAlBFoIMp0wHanfuEFPZ+k87zyDHdBIuqZFhIhWhhgSwmxSTREhsN8k4kCZVQyiY3O/oWsG1s+vIdc8HrbcH7acbE9VFfzFX/6Y1XzB27//NfbUoEXGzadPlNMZv/7Nr7i4WDKfz7BDxmZzjw8eHzzaaLLM4LqeUmvsYBmCY+h6Drs9AZguFmMSIlDN5pg8ozmcUCbSHBNmLJ0HPV3XA4bJAvo8Z16WzKczTvWJ4D1FnpONA8C8KJAqIWiKsqDtOoZhQGvNVCkKnW7a2rYly8bNxXHL0hhNjIG27ZhMpjRN/YRO+zxUrOuEajudTsxmU66vrzmd0uN4fHwcS+UNMUDfW5Q0CUVX11RVibU9fd0TY2A2n/LVV1/ym1//ivu7hz/lr/BZZ5111ln/H7SYz7i8vGSxWOCDo65rHh/Gz+0YMVoznUwI3icT0g5U1QSlFAioqoqLiwvarifGyDAMhBDYbLbkZc5sNmc2m9O2HaC4uLjg9vYWSNjvokwdgNvthvv7ey7WSwAOhwMXF2uUUikhF+O4SBwo8uIJN1qVFVEkM69tW5bLFUopjNEM/TAu2TT0bU9Z5mTK0JxOqAiL6Yx6t8P2A1oWaBSHtmOwA5kxnOqO2vVsjgf6GJAqkQ3+6q/+BX//i7/h4e6OvChQeU7b9uw2e+q6ZrlcMpvN2B88p9Np7L+ST9dQ6/UF+90WPZq6SimIkePxSNd1vHz5kuPhwGKxwA2Wvk2Y291uh1aa/XaXUiODZzZf4n3ADo6vf/hDtrsd9w+PzGYz8rxAKsdCaaqqwnrHZDJFKUU/DCipCTGgteGLL75kGFr8mIT5jFGv6xpjzNP8BdK14Xa75erqCu8Tpu1zIvZ4PHJ9fU1ZlgzDgBAiPW6tKctiNBn3KCXp+w7vHcZo2rYZ3183Dj/POuuss876Y6XLCVmRY8ocKQLehsRF9R7rBlw/4L19qvlSSo9GY7rnzLKU7o9jpYgQKSWIFEgViSLigyfGhCcVUmBMlkxIk75XEAKiIMRI1w8pXRlh6LpUUWbSz4WIHg3OoCKR4Yngp5RGCjX+nJRwTH/6VN1G6rKU4wz9cwpSMBqTMvU9ihiIAnyMKeEoFRI1pj9T8lGop9AjIUQQgYhgdN4+82dTJVsEIROK1YdkPiqjqHRJwBOpkEKQSYE2hig9ok8J0c9ocyklRWawHqQOI8x2xK7KVDknVULqaiURIaFjrXUYkxEIDC6hXk1WJETqSCeMSoOGSBgXu9PrJITAGI1SyQyMMSFbk1EbCD5h7D8/ltTVLMbfhRTGElGM6NuMSDKNTZFjshyZ5zDOPKRUCfcbHCFKoha4M4/1H9TZhPwDkiIhTzTpQyeOTnwU43YEkigsIYDUCh3SQZ/6Tz3DmMxTMvX6QYZzNpmEskArQ1GVGJOnD7vROFRajWlLgXce2/dEZ4nOogQUmaEcL/iFFHhSKpOYDlgRYRgG+r6n7zpc3+NdGgqKMLKxQ3L1P/dbohVRJdf+c0RdArlOB75znsE6jHOYEVOSMCZd6kUcMbV915Jl6cK+a1uctRyPR47dibv7e5q6ZlKWvHj+gqIq+XR3hz3scd5RlCXdMW2oQJ943E+8bglBcjqd2G63NMcTfryJsNbjjGc+m/P69RsmkzlFMYEoiEFye3vH1dUzYhDsdnsG64hImq7l/dgZ8fzZFZPJlIvLS+rdA7Y5IAmUmWY6KQlSpVi3D+jcMJstyPKSurNstnsO+z0fP3ygrmuGvud03NF3NSEMPNxEyqri4uIKrTOMCFgcrm+R0aO0TuamlE8bsRFGTFwa5C5Xy/R7dU5anHXWWWf9o2gYBlarFZPJhKZpeXzYsN/vmc8XhBD49OkT8/mCqqyouz7dZIydAjrLmExnCCmxzlFVEzabLV9++SVtO7DbPqJPJ/IyJQBMkeO943Q6Mp1MyPMcJzxusAhS33TXt3RAptNNSCShXMpqihIQnEMKzWq+om0btrf3lKs5VxeXtMJz9/DA7d0n5uWEn3z5NS+WF3zzN79kv92zre+4VIIYPH/3d3/L5eWa2XyaUGq7R5q2RWeG+XLJ6bAnDJ4sy1EiS4tBkWTU9gPL9Zovv/qKT7f3bA8H/GDp9jsKbZgt5tx+vIUYmU+m1G3HcrnCdT3H3Z7Vas20mrDb7mjqhrIoWa/XWO/YHw5Usyn1qSYvC55dX7PZbtk8blBSUhQFauyFzPOcpqmfcKtlWWCt4+bmBoi4ESMvpXzqijJGk+d5IgwYTVEU7PY79ocDUmnWFxcYnTEMyZQtioKrqyn3D/dUVcHF5Yr7+1ukAC3gBz/4ivu7e4xR4zVQugY766yzzjrrn4aWiwV5ZsiMxtmEJPv++3e8efOa169e8vbtW5q65uXLl+QmY7PdUpYl+/2epknGUVVV7PYJ2dn3/WgCJqLQ9XXBdrsFJKfjkTzLWSwWvHv3Pc+ePePVq9fc3Nzw6dNHJpMpQkqOxz15kafOxhHzGULqVzbGJLKPUvTD+P8VOcfDgaHv0Uol/KcPBOcospyuTeaakpLgxsXovscOltlkmhIAzhN8JNMZfdex2+64fPGSIi+5zHPudxv+3ff/HiUE/8d/9b/lZz/7Gb81GZ8+faLbblmt1/RDz83NDV999RVZljGdTKnr09hxWbBcLp46D6WUKJEeq5SSyXRK0zTM53N+9rOf8c1vfsNut0NEOOx2FCZjOV/w/sN7TJZRSs1gHRJBlue0TUPXdkwnU+7u7okx4l1guVhyqmvquqGoyjTE1IaiKJ+w+p/fL63NWC8zIYRAXddP5mPXdU+P3Y64uWfPnrHb7ei6DqUUSinquub29pbFYsGnT584HFIKtigKZrMJTdNgbTIn37x5zdu3b7m4WBNCSM9XZE9m51lnnXXWWX+cinJKXhZkuUaEFAZhnBFrZRB5IMdgnSPPCpyPDHag6wd8FKMpp0cjLyFdxZhKVCal7qRSRG+J3iFI31tojdQaISQRSQD6weK8p8qzpy5hPZ5/lNJP3YoigpKKzKQKtGRE6qc+REgE0xhDqv1yFu/TvbjGjMYiCCVS2nI03URIScjgPSE4fEhL1sqoNEeOKVmo1Eg6HA23NF6O5Fk2olghClI9XAgQBLbrGdoG3w/ICNpIrPejcStouw43WJSUZHlOpSuy3GBDwHlHnplElhQpYORT+BSpFDr73E3JiMgF79JilPOBIEDpjEjAeY/RmuhjmsvolIokeHx0WO8TflZI8iJHCEnd1Agh0FlKSarUGYcyY/BLSHKl8CHinOfU1rjeoaTCoDBZToweUyhEplEyvW9SaaQxaXZgHcNgieFzWvWchPyHdDYh/4DEZ24ycowmJ55xjNC7gI0RIQxZmRODJMuKVEJLStpF5zFaYZQhLytyk8y5wXpUVj3FqaVIb0Xf9+mAlGMHRd0mfAyCItMokbb8IpHoHVFE2s6hxtJXk2VMJhOqqqIdOtq65rTfc9jviCFgpGRWVelDS8LjZsOpTnjPEAJSSmwMSCGZVBNKJVFCcqxPNP0B2w4M3tE7i4yRxXzCcv4DAOwwcPPpPXe3HynznL7vUCJtgfZDz64+8fHjR371q19R5gU/+clPKIqCjzefsMGnf5wjxoRXvbi6wvuI9ZYI5EVJu9uy3R04Hk4UxiCkxDlHoTRXV8/40Y9+wldffcXhcOKLL77gxz/6Cfd3W37729/x93//dyyXK6RQLBcz8jLj9u6OuqmxdiDPMtarObbbpxh4SHTnYbDYzCAUDNaRtlIk189f8OLlF+yPJ7753e+ou5b379/xm9/8mratKfKUhG1tR+h7+raiMIqqqhBAkSl6IzGZYTabIVVG07bc3NzQNAPa5BhjQKZkiveesiqYVNWf4Eg466yzzvrz08XFxVhOL5lOpvTd8NQRNAyWqqqo6xPf/Pa3uCEl2vPcsH185DBu8RMC6/UFMUJ9avnu2+9YLJcQJfOFoSozjEkpyCLLWK/XqQMxxvRniNi2Ryn9dKOilcIrS0SQZTkus6m5Xkq0KsB1qABhsPR1g5oUlPMJasS693XD3/zdL5GtxTU9l9fPKYaW7fYBISTL1YJPN5+4uxf84AdfMQkz9qcDy4slk+mU06km4EBLgrUoZTgea4TOCFLQDY7l+orJdMrDbsvgLJ5I3XXEELm6vGRoB/qu52q5ojAmbStaz/fffcdkPmO9WNMNA7vdIaFasozMFHTtgDKaGAXOBoq8Yr2WCBJuXqk0XOy69um9G4aBrh3GTo6UlowiDW8PhwNd141d3g7gaTNzv98DsFouUcY8JVLKMse71HP5+HjPZFIx9C0721JNCurjkeVyxr/8l/9r3r37npubO542R/+zJuQ/+IWzzjrrrLP+f6jHhwe0vOa2OeHHqpJn11fkWcZ0MqE+HqnrE8f9DltUI1EomVDz5ZLdbsf9/T191/H4+Mjr16+ZzWbjOTwnz0umU8/x0LBYLNnv95RlyWRSPRmZn5dginzK2+9+R5ZpppMpq8WcxWzKw909Xdfx6dMnImmpJcsyLtZXZFkabmVZxvPnz5PhleUE5xAuMDQ9hEimDUVe0jZ1qg5RmoBDCYUU6fzjpIQIeVYAqbPJTEqkkVxlV5RVyW6z5V//m3+D7waqouDHP/kJv337Lb/73e9YrS/RmeGXv/4VX375Jev1iv03BxbzOZdXlxxPB5CCpm0JY2oCfr8YvT8c+Ml6Tdd1T52Yfny9jVSA5GJ9xf54oMwr5vMMnRmMSUmVjx8/Ml8smc/mOO9p2468KACBUpq+G5hMpzjrcS4tUq3XFyil2O93rNYrQkjpxyxLacTPCVNIs5CmadBas16v+e1vf/tkGMYYUzK1qjidTuz3e5RSrNfrJ1Pzc3ekUoqmaXh4eOD169d89913vHnz5um6T+vzQvFZZ5111j+GTJGjjCbEiBzRpt455GeKX3AE79DGUE0mtF1P3dR0gyMKRZQDQgak1uSFojAZQmp8DHg8KIGSEhE0wadQT4gRPSYYhZAJWxoDzg8URYkQAu9tQq8KgSRglEEC1vYJC6pS8k5Awn56j1KKPM+QQmLdQN/bsQ8y0vc9wXsWyyXGSGwYK+IEGJOjlCRGj4ARPxqJbnT6RsyrGyxDb8fzkEaPCT5ImUqpJDG6sb9RQAwJWBriE0XAOZcWoGQ+BqBiMtwEOO8gpkVqBMiQ5hrCS5q2xUeBUGMHp9IJvypI/ZNKPpESQaCNTulUJZDJ/QCZvIkoIEhJVAp0hpTJBg6uQ2cm4VyVRGiTrudi6oQMIaREafTpdYmjgasUWiSLOIyeT14UaKnQMWF1pZJE5XEhYExOXpRYIoPtUSJ5RsZoYiB9b3u+7/+HdDYh/4BijHgfkTKgZCqB1cbQWzeWzApkln4JP389ek/XtQzWEkeX349bB15I8rJgMs/IqynOB5y1KWL99BmRSs4BYkg/VytFJiWZUgxOMliLc2mrMRKxwYOUlJVOeLMsIyszyjJnNplw3M8Z2pboXUpVkpKax9OR4+mYsKhlOW7y5RRFunkqyyqVz8ZAPww4n7Arj48PtPUBCHz55RvevPki9UDZhr/+xV+PCFi4vrrixYsXLFcLolFsd7uEvAmRm9sbur6nbprEglZggycIyPOKqpgyWEc/9ITo8UMAIelGlGwnJUZKqrwYU4aXCCG5v3/k4eGRy4tLqqriRz9e8enmI3/7N39Lnpd8/fXXPH9xzULMUCqy3WqUgro+EGzL27dv2WwfafueUgvwgbpuiELiPORFRVVNWSzXTBdLVFYyf9hQlo/U9ZFh6GibE1W5Sjzq4InR0dYHto8K102QOqPIC+bzGbP5kmoypR88ddPQtC3WRtaX13zx5g3S5Dw83rPf78kKw3Q6+1MeEmedddZZfzZaLpeEEHj37h2r5ZrFYsHhcGAYLNPplLZt6fvhact/UpUsZlPKF4blcs7Dzc1ogHVMZ3O+/PIr/v7vf4l3gflsQvQWbwe8cwTncdZitCEzGUTobcK65WVBFAotE1alH3ocKd0nfNreDNYhZUD3A0PXo4RKKBFrE96bQBc9i4sLZpfPeB81n757x7FtOZ5qslwjBUgZcbYnzw2bzYbffPMbYozsDwd89DgfUJmGmAgNbuy+ljIZgUpqjocj33zzDa++eMNyuaJvW7zKODwmQ3JWTphkJa50FPkEaTL64GHEwCgE7Xjuz8uCrkmY1OlsRmlyemdpTqn7SiqJMQZvPVmmkVI84c3KssT7NMBs25ZTfcSYtPzkgh2/7sfhoWI+n9G2LU1TM5vN0Fpzf3/H8XhK/d7e84Mf/BDvHG3TkuUZ06qgHxqWyzkhWB439xgj2e4eybThpz/9Cff3D6NBKnH/Ca1A/Cl+tc8666yzzgJCSEi2skwpwzAaY0WRiD7OWZSS1HWN92mht6oqVqsVUqQll8fHR1ardI2QjV93zvHt777j9ZvXZCYjzwtijKkqZBjouo77+wdmsxmr1QqlJFJEXr9+zePDXUo16rScfHl5yXdvv0+DQVPgY0zEIeewQtB2LUIrppMpxhiGoUeEhA/L8xwpJME5drs9mdYURUnoB4KyqKLA24Hj6UBTt09mmoupHysOmsOxYfXsmsvLa37V/D2HY0sIgY8fPrE/HKmmU/zpmPBkQtD3PW/fvuXx8YG+7zkcj+hMY+2QFqHbdkSTjUtesxl91yGA9+/f8/LlS6azWSIanGq8TUjWMAusliuEkBRlqqmp2xbG1zXLc2w/0A8D09mMY5PMwCzPKcuSbqQJSSmfiEJCCLJxSRsYMa451lqGYfifdTTmeU5VVU+41izLmE6nTCYT9vs91lqurq4wxvD27dvxvK/49OkTf/VXf8Vm80AYn7NSEqUzfHD85V/+hG+++SZ1hI4G7VlnnXXWWX+8lFIorVGACKR+RaVAJuwmKuOz2edDogcKRgNRKUCkLkYh8FHiQsod+QhGmoQYjIEYGQ0zSBlBQQwQZEoSxjGvBOnvSgHKaMyYusOnub0WYvxvEo0wxpBwrEKiJKRcJWPlWiC4gSgimZZEJVAihZEkgihUMkvdgECOvZUCoxRRqtHAlAhkupdPQKf0vUNEKMi1HrGvI6Y0gh/RpSmYE4kxLeaGxC1F6SzhzkmmngoJSytETNUqYmzhjDF1UGuFFxE3uHR+JSUgpTEIpcizDGlMojJGiKR0pRRqfFTJhExhyURgRCkkWXofQ7IPJRkhuNTLqJMxHWXAZKnne3AD1ruRJilxwSO1RpsMRDJGtTLM5hkyCmQi1SJSMxzDiFQPXZvQtEohMoMfOqKQCNRTslWfiQf/oM4m5B9QYkKrpw8losD2NpWfZgWTomK+WiUzSipihK5p2Gwe8Yc9dhgYepfiw1Kis5LpbMZsPme+WNG0Lfv9nuOxxlk7bsjpMU0JWmmkkamQ1lmMkkiZoYSgsw4bPIqEYxWfb0RU6rUyuSY3BjObYoi0WuP6gaO1KK0RIsd6SwgBpTWz5TLhx7KcsqyophOuLi5xzlFNJ0xnMx4fH7m7u+Nw2HE87tA6FcQu5hP8pGC1XlIWhr49MljL3b3jVO+ZzmbcPO44nWqunz3j2bNnnE4nfvnLX9L2fYpda4OSCh881lpENXJthSAGkaLYMZm0znnsYDFVyWwxZ7VaIaTk08cbmrbl4f6Bly9fcnWVCuib5sD+8IjWGVenFfvDlPl8jlYB71ru7rY83H/A9j2Pdx/pTkfKTKGznOgHmr7HqJRKNCZjPl+yXF5QFhP2hxYhFNPpFOcSc1yKtOmYZ9l48rB0XUN7OuCHHm1yxHLJ+vIZX371JcvlGusiJsv5dHPDfl/jnePV69dcPXvBX//NX/PLX/09p9MJKc8DzbPOOuusfwzt93uur6+BlLJLiA7FMNT0Y9dSWZYsV0v6oScrCqrpBOEsl+sVQ9vxfr9DyIQpnU5nPH/xgsP+gFEqIT0OB0xeYPKCoe95fnGZBpt2SOlHY4jOk40D0kRLGEBphDE455E6H28uHCrLMdmA7U4Ja6IUwkfE4MiNQgV4vN+gtOH569cUZYXtWur9juN+l+gBk4r1eoV1Fucdp/pE23VjUYLgeNijEFxfXFLJhB/LlGY2nXFsWk7HE7vDkc5anr98yXQ6pZzOmJYVzf7IYXsgDp4yK5BocpFK4E1R0npH2zSUswW2awnOI7VChDQQ1VlGpg0iCHwYESxKIbRMaBoSRiZhWVN3U9OkruTrq2d479nuNoDgdDoRYxwxbIq+75nP5+R5Rgjp/V4ulzRtk0A6Ae4+fcD7QAgwmyV8nBDQNnvWqwXPrtbstlv6rqHxgX/+X/2Uf/2v/59Y6/lP046f71bPA8ezzjrrrD+FLi7XTCcTtEmdfZASgEWR07YNQgiqqqTrOyo5pSor8jwhVQOC5Sp1MJZlSTF2F1qbFpWatkdJQ4ypP+h4PD71IxZFwWRSkecZVVVSlmUaMAr4/vuaQhvyPCeGQDWpmE4mGGNw3qN0QrIuJivqpmG+mDOZzeitJQZw1qGFQksFRqGFxI89iAhJCDEtL0XITEbbNGidobOBvu4xuWE2ndK6hA+bz5c0TcNut2N9cUG/r6lMwXK25O3337M5HAgxUJRVwo7O59SnRDjy3lFVFZ8+3dD3LZeXl1xcrLm7uUVrzXw+RxnNw+Zx7Mvq+e6771ivVskQNOmcf9rtE+Z0vkzXRSH1PM/nCwZr6QeLyZJ5KBAJXzeeYz93OlprMVmGcw5tNFr9fqZSFAVtV1NVqWtzt9slEzZGVqsVbdvSjV3UyZx2T9QKrTUXFxccj0f2+z0hBObzOZvNBiEEs9mM3/3utzTNicVy/tQd+vmaUmvFs+fXvH//fsT7Tv6ER8RZZ5111p+PlFIYpVEiJfaU1kQJSiYnUISIGIkAUim0Npg8R2aCLC8QShOlRuoMleVIkyUjCZB6nLtGD+M5J0LimiJS/18KKo59g5EQLESRqla0whiF63qcHxBEtFIoIsEl6l5yN8fkXvDEYJFKoATIGHDBIWX6XnwGvwb79BhTCl8QQyA6i3URXFrE8TD2TcqU6hM5Rkmc9WMfo8CoDCUlPvqRYJBwqXzGscZI9PEzSDYZdTrN7qVIJiohEoyBkJ6fFgLn09KSNgahJF5AVHo0MsVTJyQxEqUgys/Goxj7KVW6vkpvwGgAj9Qh6xA61ebhAwQPMZLnGU1dI5VEas0wDGPaNRClJAiV+iRjSol1vSUvDVpLnI9okWYGxuTj6xnAeVyweOfxfkjdkh6GriVIUD5LMxtlkCaREIRUeHM2If8hnU3IPyCHwEVJ9AHrB0Ik8YWrCUU5pVgsmCzXzBdLsix1LLgQkVmOzkoiEusbhNIok4FUDD7SdANRHun6jm7occHjYyDGdNMgSB+on4tcY/SIsd9IS0nUEh3ApVWBFHcWqffosD9wOBxwwaKVRAmB8J5MKYrcEKqxPDbPQKby1azMEVqnXsY8JzMZNjg2hy1DP1BkOcv1Em0USkuqKme9Kjjsd2wf7/nFX/9PaKXZPNyRF5r1xYIYIsfDgdubD9w/ZOzqnrrt+OLNG370ox899UX84m//ht5agrWI8cN1cJa7+wecSxuMUYTEmXaOoR/ShogQXF5e85Of/JTnl9cMXcfjwwP39/fs9zuapqYfOl69esV2u6UoDfP5FETPh4/f8fatxTnHdrujabuEYKlPDG3LtCwoZxOqScXQNfQHC8GhjYIoE463d+z3R3b7PXXTpNg/UOU5ZX4BUqCUTIlZIkYrlAStJDF4mrZl4T3VZMJyvWboHV9++QXL1Yr372+IQtE2DafTiWEYaJoauRVPN9BnnXXWWWf9cWrbFqUUy+WS4/HE4XAgz3MuLy/Z7w8sl+nc/jrLObUNu+2G3W7HYjIhyxMebBi3+ubzOUJIfvQXP+KXv/wlXdtiMsPQtwRnmV5cEkgpvmo6oe8t2+0eJSRVXiIlY4dDQGcZUQp65wkRdF4gtCEIy0waJkWBkZ6mO9L2Pae+p5hOWT+/xmDQlWb6bEbb9py6nu/ef08eLdNpetwfPn1kt9+R5Rl1k84xzjuOpyOeyMPDI95ZpNYYqTB5QZmXOBfItOFyfQFK0bcdnz584Pnz55TrNSozTKZT8qjojw24QHusIYAuQeUe23c0zqJMgZIa5wJGacqiSmlE+7kXO2FVhRBUk8lTZ5NzFqVTh9Pn3oyLi0usHdjv93Rdh9YK69Kg2TmX0OZkKCXH9zgNFo/HI1JJLi8vGbqGPM/o+4HpZMqnT7ep+yMGuq4GEfj13Xus7VlfXDylad6//57/9r/9P/Df/Xf/V7JM0XXu7DmeddZZZ/0TUbAONwxcXawpioJ3799R10cWi0VCb0rIjcFbixDJ0Prc0yiVfkrN932P1vopRTeZTMjzgq7rqaqKxWJFnhdUVYkxJi0wLROe9VQfMZmiKmfc3t3RNC0vv3rGZDLF9h3T6ZTpbIZSiuPpRDmRT6nLru8p8oKyKGiahtPxRJVXIBMhSARBsB7nPUU5Sd1RISX5otYgYbleczweaIcWqTW9dfS7HcWY8gtKMitmFGVBV7cUZcGv/ubvmE+mCTuvJZ/ubvntd9+mPsqYKEyH5sR0MsHFwMfbmzR3yAxRChbrFcOhwxhD03dcXl7ix07N3W5HVVVP5mGeZ7RSsl5f0Ld9WoCuUn9m33XUTUcgMl8s6HuLlJK2aVivLznWNc4GqrJAq46mSf2N2uRobajrlqbpkDKh0tqxP3Mymr6Pj49PGP7P6cgQwojFy4kxst1umUwmZFnG/f3902twfX3Nfr9nsViglOT2Lj22uq6feiTruubdu3fM5/P0uNsWa+2f+rA466yzzvqzkBEinXskiChSZVlICNWoDDoIvHQoQjL3TCTLcxApcOIRMJqQ2mQIaZA61X6lGXtEEiF4ojTEYFOqMQbGrCURgZIQgk3415g6CRGRKALe9okUSETlCQUenU9dk6mcMS0QObDeovII0SPwKCJKimRweo8IbuxPDAiZkpFaRGJwDK4j+gB6pAFIAzqFlZQQSAkoge2T34AXiOBS8CqE5EmE9HxSu2QcO6sjkHorVWYwcrRjpSBGQRh7M4UIYzJVJYohJINVJBM1IHExpHBRSObh51oVBSgNSDmmCRO69XPbCSNWHglCpZ7KSACZui1FjCA1QSqskIDCIwkIOuuRUlFUGXpMiHrn8VGTZQVaGwKRgCSI5L+EGIgi/ROCw9oext81kxlC9HS2x3UOaXSaaxiFlgn8ZM+VkP+gzibkH5ALkX5wCOcRMWWzJ5OKrKjQRUmIgqYdiOJEWRa0TUPddiA1eVmhjEEaQ14UCJUxOE+32/Ow2QARqRVGm3RAaw0x4l06GEWIeDzepy2JXKREZAREjAQf8NbhYiQISRSOrmnphoSO2+4f0kDTe2ZZzsvnz5m+eM7FckVvB6SSBCK9swmXgqSaVkwnU0SEu7tbfv3rT9hh4PryimfX10ymE0xmWC1n7B41zrbc3t7w7be/QUmJtQNaf2ZZC+zQ0TSC3nZPg8Cqqri+vmaxSOX1m92Om/tbjm0DHlxInZnNaQASj1logbUu4Wu9p8xzplXF6zdv+OlPf8qzy2u+//Y7No8bvE/G5amu+eabb7i9vWG5mvPlF6959vw5x+Oet2+/Y7fZjDiddAIxWYaSkbzMmC1mTGdTiiJHmzQ0zoVCq4z/N3t/tiRZll5ngt+ezqiTjT7EnBmRSEwkpUn2fUu19Gv2RT9Hi9RlC1lEAWQVwBxjdHebdTrznvpiH7PIKgKVUpJZSBFQF8TFERHpbmpqqnrO/te/vgWRp8ctX3/zNTbA+w+3TNNIniXmtcl0OqRWBXaaaFsLRJSSZHP/o/MB6yP73Z7buzusC4yDZbla89VXX3F2dsW79zc8PDyyPTRst09Y52jbNrG2TzrppJNO+oMlhOB4PM4dBBD8j6ZWWVZonbboI1BWFX3fMfYNx6ahO+4Z7fOmu+b16zfY+Sb31eUV7374lhgL5NxHMI0DJktb8WFeOsqzHIFI5pqUCREj0maflgJvHVE5vEvXfCMlKstx0WPyDNd6hq7Hzv1PTB6MIy8LjseG24dHTF3y5rNPcdsH7t9/wBjD27dvaPuO4/HI9atr1psNPgZubm5wzrE/HlkuF4zOEWTgzduPeH31iqEf6fqeoqpQmWHfpufi5v0H+uORZVVTKIO1E85acpUBkuhjQsErhY8erRI5oixLlNa4l56GJB8CfjYQn9MNkDYmxdzBAYIQPMMwUtc1ZVlhrU1dU/2ADyHRIaRkHEcgslwu8N5ze3tLUeQsFgt88ARvyTONHQeMSluSuVEYBROeTKcDSbZZMYwdXXtkcpG+G+fkiuP61TmPD9t/6pXGyZk86aSTTvrnl5QJ6d22LW3X8vT4wGK5IMsy9vsdWZbhvU9VJlmWMNwzjt0HT9/3XFxcMI5N6pjSycja7Xaph3AcOT8/J89z+j7VmkDqHoYZzxYiXddx++GGm5sbrq+v+Pjjj1kvasahRys9G2D2ZcEmMxneOzZnm5frmDFpUWaaJpQQBKmQQb7M5mKMKX1ATEMeka6nQkqkVkQh6YYB6ywmM6zzPG3tK4W1lqZtOOz2SCl5++YNx/2Bh4d7rt++4c2bN/zw4f0L2vT8/Jzb2xumaeT9+/dpGWu9esHF/tlXX+GalCrMxoF6uQDgw80N4zjy+PBA2zRURYmIET8nHxdVnQgHbUdVVyip8c5RLRZoqdms10RgnCa6tiXPMxDipX9T6jS8tHZKA9q56zkER5YbxjF1Ua7Xa7TW7Pd7drsdIfyIbh2Ggb7vX3qzjscjbdtS1zV1XafZzNxdtVwu59fXkSwzeO/w3r28nkIIOOeIMXB390iWaZqm/Wd/H5x00kkn/ctUSuMJJFpJyDKcm03IoHAm9fVKAsR0npRSIpQGqQjOP2d65m5HAIFWek7mMacSPWgNQROcIwSfuh0jKATJc4wE51KSMDh8dEQn8NaCt0Qi3oKWEhkjPnmbyUCVPpmoITL0ia4TnUMrgSDi7ISzUyIqaJ3OxNGjpYSQHk9wFhEDEg1C4kOaIVjAO4d3Hmcd3roZF2qxUyQITRQCR0jER6kQUqaF2yiJISUgFRItJFqAtdN/c7yNv1NBknoxPf04ooKfa08i1ntCDKBMqqFR6sfE5T9yVk6Zq/RfUtWkmFOZcxhrng2gYPIBobKESvUBVHqeokzI3iLPyIwmxICbHMSJzOQJFxt9IjDG9J2EOeIqpUAqgRDMZqQnBodQInF4RUQEgcAjRUAldxcRTzP7f0onE/L3KALWe1SMZEpjtEFrk1BgQuF9TFsNSuK9S9tto00Y1Twl/Yo8xyiNVooQEvZk6Hs8gaIsUYssfQjEVPgqpUrltyLh4ZSU84eoTbxpAfH5E1JA9BFkJM54GDtZ/GxUDUNHd2hwecHV+Tm5yRAxldK64Bm9pR06kBC15OLiAqM1eZZ6KO7v73h6fKQ9HpHAxx9/RKZTvFgqRUQwTZbmcETMfOrNZk0MFus9CE9eGGznUQpykxGcfelvCAKESuWyQiQjMFpL340vz4WUqbT3mUOttSEzOVmWz/2XeUKUCrBuwrnpZdtCSsk0DgydwjtLDBN919Ac9gQ7YkSN0ikynZmM6AISKOdDmTaGqszJlKZverTOiUIzOftSaNx2R/q+SwZxcBituX71mqIsOR73uGlkmBxKaozJ0XMRrxvSYe/9+/dsd3vcFPj00y+4uHrDenPOw+7IdrenHx/o+i5F+pVKF9eTTjrppJP+YDXHhouzc5brNd4HyrJmt9vjnMcYw8PjA8v1Ol2HRbon0DqjUJK7m/epK2m55Owipd/lnNYrqoLJTYzHkcVyzX7/xKFtWK43gKLMq3nQOBISBTQh2KRESDH3OeTIvMBNhuHY4kMgMwYRBWPneDocaIaRrCjZ1DUqy4nOY+bei+ura5wQ3O+e0EWOqirefPJxSnNkBjHAYlGzqGq6tuXp6ZFhGnnz9i1v3r6mbVsgcjge+XBzQ2ZyjDJM1iKmCY3gzZuP+Lwoub29pW33HI5HvM4pTEZWgB9s6lIQCQdjtE7blkbTNEearuH61WvONhvavmOYkyZCCHStKcqCaZwYx5H9boc2Zu70SgfOSGC5XNE0Dcfjnmka8T6gTYYbB6RQLOqCqqqwduJ4POC9QylF13UcDoc0iFQGqRMCRmvD8XDk4uKCu/t7lsslx+bA7d0NksDZxYblYsXDdkt1ecY4pIHw9dUl93dP/8ir7PmEdjIiTzrppJP+uZVnGZvNZjarIkVZvJhLIQSKosQ5z2K54Oz8irKsWCwWfPjwAW3mRKSUmCzDD+OM6jJzn1TGdrclChiHkXGcMEaTZSnpMAwDWZYhRMb93R33t3csypK/+LM/Z7VcEJxjHCeOY+pbPDYHqmqBVPD1N7/hbHPF+cUV9WqZjLGupcgL+i71D0lEwrpLlQhK2tA0imFIS6tKacrccPPhPdvtI33fUi8SbjbEQJ5nKJlQs9EoDscjrWw4DgM6z1mfbciqAqkT+aAuK9abNfvDgV/96ldYO/HTn/6Eb7/9lqLIUVrz+PTE69ev2R+PiDEwjSPlIhmLn33+OevNhg8fPuCcY+gHjNLk2mC0xvuIs466XpDlBZOz6DxnuV4xTpYf3r3n5z//OVIrdvsd1jmMNiBIQ0iR7qXGaeJwOGDy7OVnPU0TPozkec44jnzzzbfJSAwRKdXLsvRzZ+Q0DbRtmxIRIcwkBsdqtXrB8fZ9T57ntG3LarWi+XCgKku01jw+bmfDtqKqStq25c2b19zd3aGUwvK/748+6aSTTjrp/6xiTF4QMpln2ghCSN2ICIGQac4uRUzoTpEoB1Imo+55BTYhQFN/opwXXqNIKUIpBEpIRFTEqBBiAh+S0TUvsCQfLBl+MQSInuBSn2IMyaASEURIB+PkHVpCFCgtkDolLgOBcRhekn9GKohgpwk7DSnsQwoviehRItWW4SzeTojo8ak0Gu8CUSmi10hSpZmbHEoqkJIQPePokHMfohMCZpyoeO409DFlBGXqtTYy2YDBTrNjmyzCQEojBgI+kvCuIRCGHun03NUsiSGlIKUIydMQInVMaoNUOhmB8//5uWszmZSABJ5nADEQQ0AikSoZhePkUFoRppRGzbQmxkCWF2itUJlBKYMIjqAF2kiE1PPrRL50f9o5yCVIqFskIAJD39N1HVFEijJD5wZpNPDctzk/N8QXYtJJ/61OJuTvkck1RZWzLErqrCK69KYJ08TgXGILS0GzE7iYCs0XiyXEyGQtuVIJfWo0dVkSQ6CLgirLkFlGUZRobWbkamAap7Sxh4A4R67neLdUhhiT0djbETtzlrM8TxuNSmOkQReaxUclWfkFfd+wvXukPxyx/cT333yPiGkjYdcc6N1EEDDYkTwvOGyPHM8P1FXN8bAjWEd3OPKEoDSaqe8Yuo67hwcO7RHvJnRWsahWjO2BMi9RztE3bYpqK0G1LEEJsgz6fmL7eM//+D/+f4lKsT0euLm7px9HIoIwOZyLxJhQpmVZopSin0aiByU0QQj6YUQJwbt371BScLHZ8LS95/7xA5NPaZMir9ms1izqkhgdj3f3NNsnurYhjiNfff5TzlZndN0AKBbLDV3b0zZHBAHfey4+PuPq8ozb2zveTw9YJFmWcXV9xWK9YBgmDo3k7u6J47Hl4uKSTz/7GX/5l39JVVXc3rxHo/i++y3OpTLerusSlnfyjNbz29/+lohEyRJtFphqTV4vyZcbtAs8PW45HnZUuWa9WKLVqRPypJNOOumPoSrL2G935KZEm4yu6Tk/v+Th6ZGiLMmrislaJms5W5/x9tUb9rstucnQOsd5IAQeDgemGFEiobYinvWrC9798D22jazkik1VENzIcfcAMSC0QeiMcbSp+3Cw5MYghKB9aHDWUhcJ52atIwAf7h/o2pZp6IgB6rNLiBHnA5Up6I4dUmvC1PNweOLzn3/Fz//Vn/Gf/8t/5ttfjtjoCFEzOE9E0Hcd2/s7tNG0fUs39AQ3cnW2plCpHzECZVlw9/jAZnPGcRyQRcXbNx8nxMkUEarA02C0ZHKeIi+4uNrghpHtww6pZ6z8XEY/DkPC2GhF3x7nI1fqphjHkRACdVFS5jU2GgqZpSSDgGmaaNuWMHc97rYHlFYgFCarMESGYWS5KEEEtFYIGZAyYDLN09MjTXPEZGk78uHhAaU0eZYM0ugFZb2iHy3aFLS9ZbKwXF5i3cTTdgTRk5cK53tW6wV5bqjrih/e3bDfHTA6I0aYJveSsj0ZkCeddNJJ//zqJ8fueGR6TKjuyTn+/Isv+K//9Re4IFAmJysU4xQQUlGUJV3XUZZlWkRW6d85n5J6o51QUiOiYLEoqP2K+8cnXl1dM1hLN04URYXRmovzC46HA5cXF9y//8DleoUUkf3jI27uM+66hAL3BHo7EIbIWXVGWeWMONppIO53ECEg6Mch9UYHiFnBfv9EczxSFhWb80uEkPTdhJ1GDrsnohtpDweWy5JFlRP8RD1f24ZhpNAZdx/uuH5zzf/tX/1rvv32W/7m+J/ohxFrR3SmGKaOY5P6EJvDDoDHpydMnvH9999zfnnB3d0d3717z8XFBZMPHLseaQMheD65viYCg51oh4QjzYxBCUmcLJvNOaGoODwciDHO5CdPXua005DQbTGSVzkP2ydMZua+Z8XYt+RlQWY0UuYpGBE82WqBdY799il1gJYF49QlTP5kKYqKzOQ0TYOSgYuLFTEmxF6ea4ryjKGfeP/+PVpryjLn6emJcexfMK1aa6SELNMzprXm2DQEH1guVjTNkQ+HG16/eo2zgRhGXr16w363Y+hPSNaTTjrppD9UNkpMlNgoIAi0NAgZUlptXtYJIaJzTfAOZEzLuFIShaJQAh8F2uQvJpgkpRW9St2IXkYEEhHFnFYUgEfiESLMyFCByAyOPqFFoyLYCTeOGJEWhqxNQSCpE/FAEZGAJKSkZUjz/zzTDMPINE0Mw1zTpjQyK3Ah0diVkihAzwbYFAPYCR88dk7gByI6m7supYYZXyolCBmx7pk6pCBovFQoXSDFjJkVCplJJIm0oEz6PoIdETIZt9Y7nPd4AciIDw4jNWiFEQolBDEG/GTxAaTS5HlBVtVElWFh7qzOXhC4AOPksDhS6iqk/GNICdFk+0UwknFKFS9CSYIb0nMbwhzUUpg8ESqiCzjrcEM/17lIVF7OoTOHkCIRsILDBQCBkRo7JH/AWUs3jeiiQIjUPZqZjCAAFEJoQCaaU4i4cFo0+qd0MiF/j4SI5LlhuVxQqpyh7Tm0Tdo2kBJpNI7A5D39FNisz1iUNXmWIYxPG/dCEOauAa0VRZkjpKRcrJFKJdRbjHjnXn6XQqb49/O7UECI6UbeBY8NHhdCSkX69OesnfAhUtc1q7M1plQMQ4FBcZAKXEDEyDiO9F2HnSw6Sx8QgfThRoTHx0d++P77FBuPgfVqTdc2/OIXv+Bb8zXeOY5Ng5eSzWbFsiyhHBBuxKh5QcF7umPPYr3m+vyCu8cnhnaHnUailDxsn+jGkWYYUrRb64QotZ5pskyjfdlklM4zWYdz6XmSQiGExDrH3d090zBwW5c419N3HZnJKLKc3Bi00tRlhXcTfd/S7Bu6/shysaDKCuxkMcpwefmGs80FXdez2225f7glhgmJxDmHc468rCjLBczE6OAs3o84N+Bd+j04S54VnG3OqOqS9rinLEoynWHp09fLDATw3iWkrvdYF6mqgq4fuLm5o1wNmKrCFDmTtyChrirqqkSJ0wfaSSeddNIfQ8YY3Gg5HI4sFiukUrTtQFnWtF3Lx598xOQsfdfStT1lXqCkwftI1490/cTb16+QErphJDeGarGg6468evOG0Y70/ZAOMN7z6tXZ3J/uCCGyPl+z2pxBFKgoseOEFJLLiyuaw5HmeKRtO5TJ0sJS23F2eclmvWL7eEvfHgjWcXP/nqKqsNbx7Tffcf7miphruqalWi2pq4rl+SYtO8meXCnqsiQ3hkZKnJtYLBaUVZHQ303Doq4o8ozDoUFKMJlktCPjOOJjYLff8/Of/yXv3r9nUdUoGZj6lrm+ge1+R5gcyigCaTErdh0qM2RFnjqWjSLGQN+1eNLVNS9rnEuomKwfkUImkzGCMZqyLFmtVhyPRw7HI0VRkOXp4CKEwDoHsqPIMprmwDAMGCPRJv0MyjKnKHKGYSTW4Jzn7u6evh8oigJj5n4OIdAzTr8oS4RI2NzUO9nSNUeKMmO/PyClpqpqfvLF5/zd3/0vaeBZlExTup+LInVqnHTSSSed9M+rn/70S7ruSNMcaduG8/NzvvvuO6y15HmO0Vky7vph7niGEAIXF5eMkyXLC2KAGNNCSXNsWS7XhBjouh6pEq47LwrOz8/Z73dp0Ggd02ipq5qvv/6GEOD11SXOOaZhQghJnhfEGFksl1T1gkhAa01VlVxeXtJOEhs8PkbO1meJtCQUwaZ7CCUVdrIc9nu6diBECM6RFQX7/Y6LiytWi5K7m3d0zR6lNO3xwPIZedqNrEIkL0uKvGDo0zXOZDl5mepaTKbJRULDShHp2g4h4OxsTYyRrjtSL5ZcXV0gt0+cbdacX54nSlAQrJYrhnHk53/x5/ziF79ACMH5+TntscEoTaY093f3GKkQpAXkbhrJjabpOjaXF/T9SJQikaeCx/VuRujql+5nX/o0vBQJ1a6UYrlcUpRlum6PPWWVUqBnZxl2SrOZ9XqD9579YUsKfiTS1DRNALx+/UyGSMvmP/zwA5DuH5VKCUrvPVVVEULgbHOG956u69IQOETu7x9YLpcMw0gIkSzL/zRvhpNOOumkf2EKMZ0ffYgIn/ChQpDOhTHVnykMUklMWb5UfJgsxwXo+gk5E/mkTmf8ECM+eIROmE8hEgJUICFIhEpfOIrfBYjGuTsxoZO8n7Gd6d/gvcdZmx7vnJ4MMylHCPBOzWm8iHcWPxuEiETqiUIhtcYDNniEFLPBmpKWIoaUirSOtu8ZhwEhSfMNbVByPos+d1ZKBYQfM/nRI6QBmHGygRjF7EtIhIgp6SdE+toqneGVUgQd0HFOZ5L6MI2RZMaglcQ7xzRORA9BCIipS1IqRaY0UUh8AGJAyoSzz7KMKBQxRGIgcWujf0llhhBSI+ecigwRykX50n3pberMZKYpPj/XML8+kGiTpfmDFEgFUqWfr/cWMZMYfQj42aeo6iVG65f6OSEj3TggkHOtT0CICErMNMeT/jGdTMjfIyWS8+6nkUkGnB2ZxiGhQrVBZSq9+b1PGDSZBntVWdEKQdsesc6mpIJzaJPwrGWRhmCR9AIN3r9Ek8d+mDfrUi9kGoZF5PzBMVmbUhEx/PiBoFL5rBAzopXAbtcwjT3eOcqyJEyWGOKMQRXoMkfmGSo3OJ8YyJkxHPd79rv93FGReia6rmO32zL1w8sy/+Wb14lnPX8YIWCYxlRUKyUhpgL5n375JfXqnu393yGEYLles764YN+2mP2eyXmEUvTDyDBMqetinOZi3MR4ft6AfP46WkqInuOxYRo6jnlGnkmMTljVPMvITPaCsi2qCqIjuIkylhRZwf3DI5kpePP6I968eUNZ1Ajx3IlxYLKB9+9u+PbbnrZrefv2J3z6yUccmyO//e1vCCFtjTzc3RLcSJkbikwRg6VrG8DhvUXKeVPFKLLMsKgXaJNTTpZ90+O8R0tY1jVSkIambmIRNungOQ0EOxKCIwaHPCUhTzrppJP+KFrUy9SVMDmsdZRZAUJQlhV5UXD38Mj5xRmLeslx3yJl2kzc73YI4NWrN3z88cc0xyO2GOfeIU9VroBAXa85HntG4dD9wDhYrl69ZpoC7TARXMDLADNKxGRFwq/7yHIlWW/OsGNKSNZlyeX1a8ZhYBo6rt+8pTvWiAjL5ZrLywt2uy3mcGCaPEJGqrzmbHlG+Bia3Z7a5Oyfthx2O9w0IZXm6vVrHh/v6fZb+qHHe48xGmdnY7KsyLIcQWC3fcQ7QXc8kmcZ//Pf/Af+7b/992RFzm9+8wsOweH61FlhhxHbj8goWEqZiuqlTB0WQJEX6DLDE/EIhFL4GAlzJ+azcamVRqp0kBnnVKrWek4mlHifcC/ZjMhTWoMU1EVJnme07YH94QnnI+t8yX5/ZLPZYIxBIFmtCpRSHPa7GfOaOp6ESKnMaZpefldK8erVK4oiY7u7Y7d74tD15LkmBstf/MWfU9dL/u5v/wvjTLYIfh6MnpKQJ5100kn/7BJCsN/v5iWUlHL0zlEUBUVREkMaHjnnyExGWVY0x4YsKxknj3MBo3OkGFmvztAyQ0lNbjQmy8iLZN4NfU9VVzSNSvjPceLm5gajNc55vvzqZxRast/uKMuAUpppGslMzjBOTNahVKogkcJQFDV5VXFsOwQS7yMxeLQSCSEu02PO84LLq4K2bFksViipMFpSFQXEgBbw8SefMrQtTw8PfPnTP8PZEf/hAzokcsCnX3zOl1/+jKZvUEpTFOXL4LRtDgTvqYoShUg1J0P6JZVCKomSsF4tqRcVRV7QHY90XceySIvZT4+P3N/d82/+zb/hN7/+NbunLVVVMrQdSiQqQ+c8y3LNOKUkR1EU2Hl5erVZz0PmACENZOW8QCWESMauS/cGzJSEaZrwbZuWxqVE65SeVEpRFCVSJIMwoXVT91XT7BjGnsurc+7v71jUK2KMFEWB1hrn3IspqZSirutEbOpTsmIYUt+ktZb1es3Z2RnH+bm4vb2bcfM2oWNPOumkk076Iyj18kUCIQp8CGglUEIBER3NvCyUcKnPpzGpNEqmhKRUJlF75qowhCDEuSbl2Xibw0FCirlnJCUvU08hRPmjuZjMLAFSITNBtBZrbbo+uLQk89xXLYQgxEAMswkmxHy9j2iVugyllCAFQcR5uWU260jI1Jg2pZBREL3HDRNutBA9AxIjNWWZ/ts4DEhpUrBHKYxJdXNCSaxInkLwPiFthQQZk7E3m4+Q8Odaa8LsU8SYULLP9w0S0FrNnkbCwD4bnyJZh+m5CiC0JPzOEVnK9Oc0EhcSMjbEiPeOGFO/MvPjUDrDKJEwtj7dwwmZrutKJDxsDJHoQvr5zZV3EgFCoYx++dlJlWb23qfnUwSP98nclFpjoiDTOVlmMNl8D+ZtMmlJnknwMdGXhELOP5uT/ludTMjfozwzLMqc4CYGPxGsIzcKrwTKGIxRTD6kyDWCoet5uL2jqkukSJsMeZZhMkOIPsWdtSabN/eVkgQf0kZG9BglsTKV0yo5Z+68J/iUthQifdBJLZBopFSMdmKa0g3tcrXg4uKMvMwYxobt4z1j21PnJZlSCJW2OOpFjdAKR0QYRZbnZHnqK9ysVyzqmqfHB/a7LSLC9fU1VVXydP+AQLBcLVmdbVgsKnIlqY2iMYKbm3e07RFtFDFC27UcDkeGYUrbFkJQFDmvX78hPx7YHY+MY491AefShoHzHqTA2x9NyPD8oS9E4j5riZIC4VNEO3VAaqqyYLNacXV5zfn6nNVyxWa1oOsafv3rHQrB+XoNSNqmw2aBbhjoh4GiWLA5OwcZOTR7hl3Hze09+8MTEKmrc3arLW17ZPt4T9MeCcHTtR3aGIqsIPqJp/sP/PqXEp1r7DTS9gd8mJBSUFYVZ5tzyqqm7XrG8Y7ehxQ/B/a7LaN1YDRn7SXVYsFPP/+Uw36LIkJwRHH6QDvppJNO+mPo2LQIqVkuVuR5ydBP6FyglKNe1nTjQNcOnG/OEEuDt57jvsU7OD8/o65KrIeyXpL7kmEYwHuEjux3jwipcS6QaclqtSHPcy4vrlA6px0mIprRBWJMN+BaqYQTiQ6ZpYWlLA945xh8QJqMRVEyDjljd+SrTz+ha1qO2x1D23H16i0X16/5+odv6aaB2x9ukFLz6s1r/v2/+79z+/4D34jfICL0WnPcbUFKLq9fUS8XPDzeM04jeZbhpw5nRzabM7TOeXjast8fKasF3g0c90+UZc2vfvG/8md//nOqqkRL2D88EQOUdYmfJqZ+4timwaZUkqpasjk/4zhNeOdhTpE8N3J479Fap15mMR+8hKAqakxwTHPq4XkAaK2duzXkjKtR6MykpSnAZBllWQOpH+vq8lUiR7hIjI5xPDJN9ne6JiNt2770fmVZhjGG4/FI3/cASCm4OH9FVa5ZLRtA8sMPP7DfPZFn+YtxmXAvAiU13p+6IU466aST/rn19a9/w6efvuXm5obDfkdVlVxdJmzpNFq6fqAoSlbLZRrKRUUM0HcDQzeyXBU4FxhHy2ZzRlEUOOvI8vRZv1jUVGWB82lhaLNccWwa7m5uKIriZell5nJTr9b0XQdSoPNkkHZdy9BPXF9fcXF5zkcffcLHn3yO85p+tC87LM76mQ5gyEyGnaYZX6rnZEHAeY+dPG/evGG3fYIYWFXnZK8UBEWImnqx4M3bnB/uPjB0Dbvtge3TE5uLc/7iz/8SpOCH778jz3PsWHDsDlSrkrPNGjf2aCUwJg0KI6mQa7Nc0I8D+/0udWNnJcvlgtvbWzabDcfm+GKaSinRWU60aQnbOYcm0QaWmUGbtCD9yaef8rB9YpompFYv9wMxxLnPsyDLc/ycxlBaEQGFTqg9UvpEG4MymnEckhkZUqoxy3LGcWIYOpRS5EVBiH6u11kwjdOcuMzouo6madJC9XJJ27Ycj0dWq1V6TcxEq77vk0ErJev1mtevX3N/f09VVRyPRz58uKGuqz/Z++Gkk0466V+SpBIonYIxkMI4CJHm3iEidTKIvHeJ9EcghMgw9EityYuCrCjp+oHJjmiTobTGE1AimWwpLTin6gIEfMKa6h87JyGZd0pKpEwd1HiBDAEXAmo2HUHM50MILiUaRYxYH5AyYVfDbEjmJiMzRZqNE2jtgA0u9VFGT3AWhYAQcNOUFpX7AT9ZjJBopfD9SBf2yAA+Qt92VHN9nIDU9agkQiV0anjuX4S5exGEVEjxvFMbUnJUqzSrJ6Um3UsKknkpOzJMEyGkOrlpnMhMhlQGoRWRZBgL79LfLzVKCbRJM4AQEn41Bpeog3YkBgf4RHHUGiNzZJaBEAzTxNA5xPw8G6NTZ6cEHx1z5WfKswqJFKkXM2FexfzfBTKm15IPgWkYCM5jTEFuBNFHtE4VMX3fpiXoPE+khlQcCWm3/MW0Pum/1cmE/D16foNFH1NEGdC5IYp5a5+YsJzOgoPjdsv+6ZHlcsHZ+Rl5kaOLHGM0PqQtB+ssu/0O5wOZNi/F7NOYMGfMiT8pE9PMxx8HV0IKtEo31mk7QaCVZJxj1ZlSLOoCbTRVkYwt7xxOO4xWaGMw2pCXJXlV4mLAi5i6r4ocrSTTOJJpQ54ZqrLAKM3rV9cYrfjhu++5v7snxMDqbE1dFWgpyCUc6pzjcc9+v0V4gQ2O7394x/bQ0PUj+92BfrD4uwdUXjE4y9N2x7HpCDEVyU/WJeSazpjmg1UkYdFSr1J8+R3ScLHKDXWRo4Qnz3I26zVfffkVX/30K15dXWOU5Le//TWPD3ccAe8t3o1kMxu7bVu6ruezz5ZcXb3i7q5iHAcmO9A0B2KQOG+5v7vnsNtTFBnr9ZJMw93DHcGNBDyjdwQ7IYJjGhpkptO1yvuXqHoq3jVIqVBSkWc5QiiENIzTyG63p58m0ArrRj7+9BP+7Mu/YLet6JoDVZbNH74nnXTSSSf94RKURUGMCV9SVQsmm3qSpJJ89OYjbu9uaZoW6SXHw4FxnLi8vOTi4jwZTcTUlXg4YG1ktapx3hJ8YOhb1utzuqah63u6vuPx8ZGz86u0uCINcXC4kLqQJ2vJpaJaLBIdwXuCEORVBRGawwGjFKasMHmGyAosHeic0Tf4fqSqKgQGO7Qctg11dWBZLbl4e0n904rMZHxjfstht6UsCvquIc8MQUSW7oxzo8iMZmz39F2T7l+cY+hapADvRopck+cZVZHRNgf+9j/9R65fv0FLRVmUuDAiXEiPMQq0NiilUUozDgPH/Q5RlrRNS1bkZGWVvs+swPZDws+7GaGjUr9CcBZt0nDy2eRzPqUlnPcvaJbULSlfhoZSKBaLBeM40DYDRZnTth1u3kSNMR0tn3FqwIvhWJYlRVGwXC5fBoht29K2HT4IFos1WhfJYJUZt7c3tG3Lm7dv+fabb5OpCfjTdfukk0466U+itFiSrr15Ybi4uEgG0WpDjPB+up2T7hoQjINNnc/OI0W6pgkERV4ioqAsSrq+x7tAXucIAVVVMg0Th8OBoe95uL9HKsXHH3/yguLOsxwVBQ/396w3FwgRub+/Y7lcYa2d6UYKKQzBCabeIbSmzCustXgf0tDP+9SBpMyPqNgQyfICoyVd1zI6RymgrhdUVcXYdtw9bCmqJc3xSF2f0XZPPD1tWayXSCVp246LV9ecnZ/x+edfMPQ926dHtFQYpZEiIkQgyw1FkSN1QpEeDoc0X1CKh+ORdr+nrCqWdUVd1qyWCXf6dP/A3/U9b1+/ochzhrajLAqmbpjTm5pFuWKyE8vNGikFD48P6CxjtBYlIDcaLZP5Oo7p/F2WJUponPcv1CSTZbiQlrx9SHSHLM9RSiKFnH8mKW3ivUcpzTAM5HlBCJ7jjHrfbe8wxrzQEJ5fT88UhqZpCCGw2WwoioI8z+ekZcHhcGC32/Hq1SvyPKcsS87OztjvDy8LTSeddNJJJ/1hUkogpUjhuDgbYiF1/gXvEw0vRKwd8dOEEqnLECHQQiO0TEagkuAdPjhklHPqL/DcphHCnKoLAcXz8qtGIPDBQwjJwIoR+Uz4sRPjODC2LcHPyzK5xnk3z/pjWsQVEMNsnsaAkqkaJHiPlw6FSgaaEGilEtbUO2wMBCGRIWDHiTBZvLUJy240dZYzDhPBemw/JPKQDxip5mthJASHEyI97izVxsVncilzAnIOf8YQiCIgiTOdTxJDMt9E8mhTqjEmckMMydCMyLlvU6Zkp85A6zmZqFLPthAz9j7Ov0LC0lqbloenCYJFkPyBGAI+twitAYWIAWsjYqYnKaXx0RF9Ik9EAcz+SUp4pkWl9L2mbziK+ZcUBATWe6IPmCxHSYXUyfyMMfK8W5xleUqEKgMyoWWJgnjaPf4ndTIhf4/sNLLfbhE+UiqDQs7oEQ1KQfAIAkZKZKYI882slgopxcwndkxT2kyMRIZx4Hg8UpV7MpMnE7LrETOCrMzzlw8kiUhvsBBxPiQW9WzCeZ+i2N57gvc4Z3l6vGMcWyY7MYwj3TENF8uiQKu0sahMlqLXeU6uNS4G1LxxEGPgcDjwww8/0LUNgggGhnEkxpQKOD8/I89yLq7PkRKGtiH6iazIyKsSlSVDTUjJMIx09w/4IBAoilLTtC2//s1vEEbTdf3c3zSXuHoPEZScMbUhzh9O8sV4jDObWUtJnuUsFhXLqkIJT5XnaKXnNIR82UgUEf7sq59hx4Hvvv+GtukYRkeWFUipmKaRw2GPc56mObJcLbm+esV294RUhlwbvHM0w0BmNqzWG0SwlLlBUqCVmWsoJISRrt3Tb0cikOcFZVYgjCRGye5wRHc9zka0ycmLBQiJGB29tRQyYwqerjnQNQf6roFg0VKwWi3w/jTMPOmkk076Y2jqR85WZ+gsZ7IW+p68KGnaBqMV777/gWEcuOtukV6mg4b3gJiRZZK6rhJSpagwLoLULOsFwzgQY+Ttx5/y9W9+zW63nzfvH1A6o643s0kX8dZhsoIxTnR9zzRZ1IxIQUmm4PHWMQWPiJrgfKIIhIBQmnYakXmR7qS14a/++l9z/3DHh9tb/OQJ1tMfWuqzJZ//5Keslyu+//5bvv7tb4hCIEUkCkm9WFLXNUN/pCgLtJbkZUHX9kgtKYzG+8jhsONNXQOeqqzZbDbc3t5gdEZhTLrXGXqQkmpZMw0j4zhgTIbJM7RSrDdnDPd36T4pBCbnyfVsGE4jXd/P9wDpcCckjHaacS7JZCy1ZhxHRAgzbk0nXJsUHA/Hl0HjNDnGMQ15x8GxXp3RDz2Pjw9M0zNGNzBNE3mes16v6bqO/X5PCOF/g82pqgolNU/bI84KVqslUgqyrODi4hWr1UREcH9/T9t1MOPf3GT/xK/2k0466aT//nR/d4f3I9fX10x2wFrLxcUFZ5tz+j5hRUOIvHp1xqJaAYK6WtC2LZOwhJAGisvFkrbtiAG0NIzDhMk1d3e3DMNAe2hfEvVt2/LTn36JnlFreZ4jhaLdtyidU9crhIzsDwesG6kXS5TS86DUMw4TwzBSLyqkVPS2f0GHpp7jnGEc00AzJkKOkIKmbbDWUtc12+02bfP7gIiRrh8IPpCVNVFovvzq51gs2+OWxWLBcrGi7waMMZydnfPVVz/jN7/+FR/evaMoC0QMNIcnyjKZbcMwQJSs1yuU1rTNERECZVHgpglioMhzfIhcXF2lrujtlvfv36d+qxgZxhE3jpxvNux3O8ZxpF4uODZHvvjqS7yU3N4/kFUlIaZKGpWlrmaTZdzefUDM137rHTIkskI/jgBkeUYuC8ZxpO97VqsV0zRhTMY4Wo7HI8YYuq5PP7euRYiIFgnBVxTFi9EY44/py77vqaqKaZpo25Ysy17QrN6nJGVRFByPRx4fH7m6umK73aK15vXrV/R9z7t3H/50b4qTTjrppH8hEgQk6TpHCEQ83gXi3EVISLUd4zC+dDQqbSiyDG00IQZGO6G0JMMwThPOQZ5ncyAGmNP3wQdiCHNyTyK1TglMLwjOzUZdQsMSInaa6JqWse/QSs2ExDxVu0mJs9NcYxbwMSBJhqpSinG0DJPFTpYsy5A64WOV0UhtEHi01OTapEVdBE4piJ4JyGekqczy1HtoHVFIMq1TWjNN+pGzsSmNSSE+IYgztjSmLFByFmMkipQilYLZnJzr0uDlGgmpmubZ28i0fkG8EiPKZCntqVT6PrIMqdN9TELN/pgg9N7hvMU5S3AWokPOvc3WBqZxQIUMlWUprDWTF5/9AP+MrkWlcJB4fsU8V0iLGSeb7qEiEIVAKUM0EaUzQnSIeUlNao2PEYhIZZLpTULlKmVAKoJQBOQpOPR/oJMJ+Xv09PjEw8MDi7zEVAukTDxorRVRSiaf8F6LOkfJEmcdSCjLEpNlCAnO2hQ1Vin6a2cm9H7Y4n0qRQ8hsKwXrFcriiJDCkE2vxmDt3gfk0E/fwCIGIjOzhhX8NOIsxPvtk8cjqmHUmpFWVZcnl+iV4rlckVRlIQA4zSx2x4oFjUq04xdT1XlCKBpGr7//nsO+x11VaKE5N0P32O0QoTIol5w9cUVb169QmvJt1//ht9+8x2Hw46H7SOjnebtAVBKY61LCZNigQ8Q48TT0xYnIAqJlJrROnyISJlekibLgMA4ToxTKvCV8xBQCFDzh3WeZ5yfX1BmBu+SkXtojnzzzTc46zlbbyB6yiLjyz/7GVWRUy1K/uHv/wFTRCbrcdHx7vYdd08PGG2o6wVffPE551eXZN8XKGMo8wIjJW4a8T6kNETXEmMkN4bloiYzhuBTd0V7fOLY9vgI69WG8qoCYeitY9ju0SrH+cB6tWGzOcNaTzsd5o2NQGEyslwz9A13t+9ojke0Upxv1jgf/olX60knnXTSSf9nNA09Y9eTm5IqL/ARonPUZZm2D72lzDPcZDm2DVVR8urVK7LMYK3FmIxhSNvxeVGy2+0p6hptMl69ess09tzfvKcsKpwbCMGx3T1irWe5asnLFfViQ/CBcRpf+g3djF833lFkedp8zDNqo7HThPMRnef0k2McetAGrQxaCNZnZxAD5+eXCYvednz/zQ+s2hXX/pp6WXPx6hXLszWX11d8/923HPY7ysWCw2FPphRSgRsj40AqV1eK5WqJlAo7eabJ8t133/DJJ59QFDnLZY0Pkd12S9tODE2HDGCUIsSANnpe9tmxXq85Hg4MIWKydMMuZnS9d55+bNGZYbFYEEJktKnzabVYMExjMotJXRJh/v+Vki8otECkbwfyPKfve6ZpwrmIQCNF6ri21pHlmuvr13RdQ9s2aTFIa/q+fxlWnp+fM00T7969e8GzGWNYLtas1lf0/cDj49PLsFLr1DP2JkY+/+IL/us//ANKq5cExUknnXTSSf+8yrMcozR2nFguFxil0VLx+Wef8Xd/+5+x08RysUIKyTQMeJtQZ3JedjVKQ4Qyy8H/iAwfxh5BYBo6qqLkww/vuLq6RinDl19+BaTrlM4KumFis1rTj0/pHqHIicHx5qO33N684/37HyirgqqqiC6y3x7QOqfrPVVVI6XE+4Q0CyEwjgPOpcexqFepr9Bb8jLRkIahR2tNnhU8PT6hhEToDK3g4uISIzU2WK5evcJGx/HQoM0DF+qaqq7RWvP2zUcYpciM4eH2bh7wWooiS2g152A2He04Er2nyDKKLMN7z/Zpy6LesN6ccX5+jnUO5xx939M1DQpJMWPPx3F8uWYLLTFlwf3jIzJLPV3pZ1EQiXRDj5KKsig4uzjHOYcdB6qqQhvDMBuQqdMrvgwsXfAvXVrb7Za6XhJCxNl0rnbOkWc5Xd/CvEh1dXWVTM2+p+s66rpmmiaapqGqKlarFVmWsd/veXx85PLykjzPAVitVhyPR/b7Pd988w3L5ZLdbjeTGcY/xVvhpJNOOulfnKKzRKeS6SUFQijSunBy0GwIL129UqTrslQanWUJ/e08fXukXizITKrTCt4CBjt/Vj+jXiXAcyqQkDoBSYusxIDWKbEYPfhpwDk3B2wURV5QFMV83bEpCekDwXkCzzjXOeGnPN4lCqMSEoLH2UBQgegCSIXRhhg8fT+hYjIEQ3AoqVhUJSJGJJI8z/Ax0o3jy1KUd44gRuRcOZKWhHNGZ0GmrGGYA0BSagguPZ9zwtHHQBSRyY2E4BJpcF7STqZk6mHWmaEqy7QoNE04ZxP9SUqyokDnJVEafAAf/JzMDDNmfk6bzuEuD0gh0VqitWJyjq7vMD5QSEmRF9iQjEXvAzFOgEQog5v8S8KSOONYiZg8OZNKzGh5KdNMIUakNuR1DZNFRjEHugzD2OOdxxQFRiv4HRRrjBKEQitDnp9wrP+UTibk79OMXdVzpFdIBSLVrsaYwMKJBa3RSs8YDjlvKKQtOs9zeapAEDFKUuYF3qVhYypOlZRlQZZlxBCwPvDc0DqNIz6EF4SImPPQSggMgslNaCJSSYJWTEqCI3Uk5jlFns0behXL1ZpxsvQPIx9ubxnsxMXlJdevr0lpgVSontAkKYURfeD+/gE7jZyt1tRVjbUTQ5/6ot6/f8f3P3xH33c0bZsQtQH8/H14nz5WpdKYzFCHSGdH3JTM2TAfDEJgLrX9EbuaSmg9PoKZi4HnS8r840kfFEorxjF1S/XjyO39PeM4URYVUkReX1/y5u0rjNG0fcdgJ0xWcrnZ4H1gvz9wOO6JET779Aucd3RDQ9e3+BDxMVLq9LMZxom2O2LHjhAsxkisHVESijxHyQxrR7SEIi+pqgrvI9aN+CgpqxplSpRQLM4v2Vxd40Mk6Ixj3+OngSJPm7ND3/Hhw/vUR2EMt3f3jPY0zDzppJNO+mPITSPeTmQqla13w4jSmn7okUqijUYCwY4EZxkHWK9XXF1dMowjIYbUDZXlINP9gguBcbJIEVHaUC1qFusF7cEyDANlWWLtSNMcaY4j0+gp6yXWuYQmzTLGYUzLLk3zQjEwWUoQAiAFYz8QQ/oaksQ/yU0+H7ygaRvqesHV1TWP20e+/eZ7Hh4fKOuStx+95erNNW8//TR1EovI3/8v/wXrLOdn5ygCh/0NHz68YxgGVJbx6vUbdrsdVZURIzTHNj1Pxz3f//A9fTeSmYzlcokbJ/qmxTlFnZdApKoqjDJkmUFJxTgMRGsp6gqdybkzOkPNePYIZHnxklAcxxGlFYVKpt5k7UyF8GloKkhLXXEupJfpHibRDibGEUJw5FlJOs9FfEiHJiEETdOkzs7LS8qyfDEwn/Fqu90O59yLMZkXS5CKS6VwztJ2LcfmSIyRqi74t//u3/GrX/+aYehRUv7JXuMnnXTSSf89q64rpslSlmlo13VtMvQmy+PjI5999hlPj1sWdY3znjyvWC4XPO22SJES8GVZpGQDEWJCpWslcXYkM4anx0eKIsday8cff0JdL+iHASEVbdtxdnbGsesYJstiuWKYRqK3COHQRpLnhqFP6YGiLjA64/H+kbVLZ19j0pDOGIMpC9q2x9qJtmtp2z51I2YaI+cOJ6AfklFpckP0kSqrEEJSLSq6puPDzXuuLld89dXP+Prbb/j22+942G3Z3G349IvPOFuvubi4QknFm+vX/Mf/8P/j/PKSfD6jmiznu+++w4e0kHtxecVut2NZpxRpnlc0TctqteHu9o798UBZFNRVxdQPdMcGU9VkWY61jjzLKIolOjf4GFN/oxDILPUvCZnQ7lpl87KWm++n5uGnEKkP0zm01ggpOMxJx9Wc1nTO4X0gy3IEyWT2zz1cUjFNw3zfAFLmHA6HlNgcBna7HUopqqqa6Q+3PD09vZiOfd/TNA1Zls19VoE8z3n16hVPT09Ya3l6eqLv+3TPeNJJJ5100h+sYEf8vDCLVvMMW+F9wAWPiBElBGj9UsEB6VpJTKk+ozUETxSBzCQcaXT25X8fpUzkAaUQIllOEcB7XAizCRnRpCquYC3eptSl1prC6IQIFRLnptTnDMgYX1CnpNN8SiPGFEBSOqHKlUppwmbsCTEShEQYj1ISAgSRUqBZltJ50ziigKzIqOtFWvhtW/ppSp2Is6chYlrAieOIjwGT56BUutsJIaX+nn0IQAZABKL3CXX6/L3D3Nmc7lnkTF3Msgyd5Yn0EMWPHZJSIZRGKIVUqYc7uPTdxzhjb4VIngvAM/5WSvTcR41KnZQ8/90+zqjUmcob4wtSVkiZULKR1Cstn9Gr6b8zB82efxhCKoJPiVedqYTXZf5zUoFOiVSUfKEUCp4xrwohFUI+OxYn/e91MiF/j3SWUVQVZVmTFzVaSJRKN98uglSgiAiVTMiyqDCZIcRkMIq5PF0giaRtPKMUssxROpsjzgIt5gFVjIzDiLOWgedS17SNmamM59dyjBEVI4FAoRW5yIkxUGpFMRtxuijQeQ5xLnw3KVmwkIpD07I/Hri7f2CyjrKuyHPD3d0d337zDU9PT9RV6i54enik73uOhz1aSBZ1zfv38Hj3ga4/8s03v+Xu/gaIWG9TpHnmKQuRSm4hUpbJBNVtw9PxgAsDQmuc9Tjn8f75m5t/m6PzyZBMaFXnHFJJlAAhAm3b8PRkWNYVxqQBsB0tu/0t7z58AB/JMsVnH3/E+cWGuir55rvveNg+8PFHn/Lq9TXOeY7NgXFK6Yh+PNL2e7a7HYfjgXEaAUGmc4TSeOvoh5EYUhJTKQjBM00jRicMbJ4ZlnWNySryLMOFyOQiIUKGQVdL1ptzPvvic16/foMA6h/ecex6XPQoM0fggf1+h9apA+vdzQ3OnQDTJ5100kl/DI3tkb6pcesNJi+RwXHcb8nyjKLMaNqUkjsej2R5xXJZI6XAOcvxeEhLJVoTiHRdlw47UmKKnGAnDvs9/ThydXXJss7Yb58Swt0INusl/RDY77dsdwd0kaNNRlWVqTdYJbSH955+6GnaA1pnLJcLFvWCVV1yd/dAJFAvF7jRMowD62LFalmzWFQ0h2MaIL59g6oNT7tHfvXLX/PtD9/z5c++5OLiHCEVT7snFusNWhu++vKnjEPL3//9AZMXjNbTtB1SG1SWU5QVWmnWmzOC97RtSz+MLOsVUgjGoccYjV6veby7T1uT1lMXFUqlQ4CIIGJMJfVFDqTFo7KsqEzGoT0yjCMyhJTmkOkuigjOu5QGmbGsZVkyzQlJrTVCSew4ITRIqciygrKoGIYB6yz7/R6pIsbMXR5CYq1DCME4jrx79w6tNWdnZxRFwX6/B0iY2mHg/fv3bDbnWB/JiorVZsUw9EgtWK4W9H3Pfr8DIfjzP/9z/vZv/2beDj3ppJNOOumfW3meJypOWc6b9oG6qvnNb39DCIGyLLm4TOdwrSTeTwxjx9PjA2fn54l+FALWO/qhQxuVBmtK8s3XXyeU2zjx6aefI0RChTdNQ0RQlBohPZN17HZHynqBMqlDyoaJ9zfviMHy+vUr5tYk6rrm/OyCpunYH3d0fYM2GcvlilhW9MOMZs0MykjGceLYjAgBZZ5zcX7Gal3wru2xznJ5ccF2u8UFR11V1Msak2tkJthv77hYnvHZp5/y7uYDv/jNr7h/fKDpO376ky/omgYpBE3bcnl5xc//6md4b/mHv/97mr5DGs0wjAghCeP08jiNyVDKsDskHGmMce7fjhyPR1bLJWOXqAPCx5f5xvOycQgeFyKZFJRlQT9NVNmCvCgYuoS618a8IO0AxPy7kpK2aymKgtV6xTAMqQ80T6lW52Y0+zhRllVa+p3vW3a7CSHAuZTM3O2OLwSrLMsYx5GmaTg7O0tUh+ORw+GAMYbNZsPTUyIjLBYLlsvlnMjwLBaLF4z8/f0903RKQp500kkn/TEUpxEXPV4IlNZo/TtmoRTkWiOIOCleqDlAQquqgAAyoxO6lWRIpgXYgYhMRpZSKKnI5sXg5+WX599Twm7umvQOP/dPihBnooBGkAiJztpkBApmyuJsswmJmEM3QirCfDYWc3GhlIJFUb1Qk0QEGdM1T2uJtRNaK7x32M4RlUIVOTJLYaoiBrwQjM4RvEs9mjEZbM+/EOLFmxBGIeevldy7tIiVLtPJ9CMGxPw40/JPwqEqlbDp2hiUNqS+RUUUyfB7JhVEBEpKov/x56KEQuv0a7KOiAKR0K1aS3SmWNQ1PgQm65nm0JOLE9KlhSRBMo2zLMeYbCZPxlTzwoySnbs4k340IJ8fm589HJNnGKkSnclbgpQgNMIYYoxMMzlDiTRXkFonfGs4mZD/lE4m5O9RXhSU9QqTFam/TxvKssZ7zzA5grTza1UgjcYUBpMZrAU/eWJMH2zP3QfRpyJboxOCTGudOp/gpWTduglrJyTpzSyFxCgFLswbATG9Ub1HhICaXfwQPFKALnJyJZlmY3MaB/b7LT4E3r//gIvQdgNFWfKTn3zJarMmMzk//PADv/3NL/n666+x48TF+RmXl5e8urqmqkp+8+tf0Rwbvvvuez68l9ixZRp7+rGd058SIkzjhFBpuyFKQfTpDb9er/n408/ohoHH7ZZ926VCeBeZJovzATGX0brJQgzEmAaQcTYhnxOa2hi0SIe+p6ctY9+Rl2k7UQhBFBEfAz4E3GB53O341de/JTeaD3e3TNbi/ETEgQggAj5MTHbk5uYd49jPxfEtl5cXfPzRp1ycX9M2Dbc3P2DdhFY5y0VBnkmCnxi6lmPTpA9gIajKEudT2iKvarK6AJVjyiXnV6948/EnvP38C1arFeMwYB73mKJC6pzJjWgjWC9XXF5eIIRku92x2x+x7oRjPemkk076Y0iFgO0aDk8P1Is1ymT0xwPBFVRFRgZYJdisapQuqKqC5rhDqoQIR0TyMgMEbdenTgMp0vXHe8qyQAiLHTx2EggZORy2lJVjc3bBer2mrmCcAvvmyDQNZEZyfn5ODBnjNLFcXRBjxNoJa9MBybkJ5wIxuNSNWJU4JXF+pOlb8sLQjQOPuycyk7FYLri+vKKqKyY7cft4zy9/+WuEEly/vqLIM3b7PavlEus8y9WG88tr2r6nWKzou57gPHlVp81AIXHWUpUVl1evOOz3HHdHgnVUVZUMQiE4vzhn6kfC3I+RsDQ2HdLyEj+j2YJQqDLDlAXROaSQ5HlODOkwlGU5Rom5Q1q89G4571/QeJG0zemtZbITWmhiiHjS5mO63wgURYW1fcLrVRVmXvoxWiSj0lqmaeLp6YlhGF46LZbLJRcXF3RdR9e3HNuGerHi/OKCui5AeIahZ7mqyDLNdrvjL/7iL/j1L385D6RPh5GTTjrppH9uSSHYbM7TeV1GdL3g6fGR7XYHSG4/3HBxccnrV69o+4ZhGBiHlhjdjFttUTrN4Ia+TUs2WjEOHev1kmHoOdusidEjpeBw2KN0RjljVBeLBbvdAa01WZFRVCWPj7co4Ti72HDYPXE8HFL3UfB0Xcv55oL1esViteDYtOx3e5yzvCkyri4uuHt4YLlcUpQlo03zAwIsyoq+7Rj6gSgjmcmQRqGyVI+SVzn92PL9998TnGO5qLCTIy8qrq6v+f7De2KIfPvttzw9PvLlT37K+/c/MPUDr9++SlUrWQ5KkxUVl9cF0zAihcCOUzLZnp6o65pFXfPmzUf84pe/4unpiYurS+q6xlqLs47VcsnUpWtsZjTTOFGUGZDO8KOz+KZh8J6zy0siYK19SS84l76f59Sh955IxJCxygxd3yGcpKxrkJJxHDn2qfokzwuEiGlw6TzHY4PJNFJKYgwYk7FerwnBvSBUhRDsdjs2mw273Y5pmhImNs8py5LlcolSiq7r5iRoQrg/I2idc1xcXLx0hp500kknnfSHK1hLICCkQESPDwqpc1xIxpMQIiUKsxyvc0L087kvdSMKSIhU50Aksy94j5smhFApjScDMoCIEM2cjgxptp/MpoiYF2gkKRUYRDLCtFAYpbDW0vc93oeZcqRQQPAOH9JfbrRK9VwhICP4GPE++Q1aGnj+es9BHUCadE61ThCIRAHSpCSiE4FD3yFnU1ZoSXTpOZFzulNrjZqpj9M0EqVMMw6pXnoeg7OI4FHimU6YvMRIek60Uiit535L0FmOyXIQMs3Dg8c6jyf9mRBD6tB0HiET8lWpOcAUY0KwCklApLCXKZKpqgRSK6JQoFTqegxj+ntDSp0CLxSlEFLfo5Q6fZ2Y/jkp4kMiLyGe+yFTb6QyBmKyCaRKJmrAE5CgNSIGgpTpZzcj36VInZFCa5A6vTZO+kd1MiF/j7TJyIsKosBHkCojK0rGebNBEpk/adKLVSbnPIRAiKm4lpg2ICIJMQYghUnotZnD7Gf0GIBEoKRCq4SNkTL9s7MOMcfGo/fgA8KnriUhZfrgmd9VIgRMniEzQ5i3Kd6/f8fX33zL3eOW84srfvLTL/nJl5+yWCywduLm5oaHh8eXjb26rsmyjI/ffkSWGZrjgV8+bWmOR4KzeDsACSMjyyxtQwiB0CoN/JzDuYC1juBhshPO+XmgWGBMwpsK8WPZOwG8D1hSnJ35QykdChLHOczJzrzMqPMcSaAfB2wUeCJa6bTLISVCRjKTY4Pnw80NSgr6aUBKwWQnbm7epw2GqcP5CWsHHh5veHx6wDlPWVS8efOav/qrv+LVq49598M7+iENIPNcsqgzMhXxLnGuh67He4fRhkwaCKCVYbM5o9xcoooFg4XV5RXry2uq5YogFb3z3D080fYDz9WfiHRw/elPf/qCpjs2XfqwPemkk0466Q+WFILoHUPXYpShUooyMwx9R98ahITSKKTKEXnCqA5DRzGVrNcbENC2LVJpxnGcka4d+/2OoWuR0aFVZLXQlFXO06OlrEqkiOz3W6oKzjavWG0q1ucbjm2DVhqtEoJMm2ekjMf7ZGIaY6iKEuHT5ubhcODh4R6jEwbeR09e5hwOO+4fH4BI9phxfnnO+fUlf/3X/5rP2iMPu0e+e/c9h+ORacoYJ8t3333Permk6xoet1sm7ynrmq9+9nMO+wNN06CF5PLigrvbO777+ltMnlNWFSIIdk/beRtQ0fUDfrJslht0nTqlw5Rgsd57DMlMFAi8d0SnaNuGyUeKuiIrckJIBxUCENJgUkr50o/1jGyfpgmlNVdXV0Tgabcl2LSIFKNDSp0wbtoAka4XWJs6HZTSrFZLysJwPB4py5K2bTkcDhRFwXa7paoqbm5u0FpzfX3NZV1z//TIdv/IodlyeXlFWZYgUspDCElRFlxl1/zFX/81//E//IdTQf1JJ5100p9ARhu++upLPtx8YLt95OrqksfHR6ZpwpiM6+s37PcH3r17x8XV+Uw7cCyXNVmm8d4Sg2eaXNrCN5K+75jsRL0oUVJQL5bc3T+yWq2p6woXxGw2dUQkznu0kez2e+4fbgl+wuiAURGTabruSFFkFHmFEDBOA+t8Q6bE3D24YJocRZFhjKZeVDMWdUbKzbUsWZZhVEpxDOOAc5b94cAw9CkJmCt89OwPW7ZPT9RFwetXr6iXS87PL/j3//7fc3t3y/vbD0zTxOPjI8F7Hp8e+eyLT9kfjnz7/Xd89803vHn9hsuLC/q+w42Ww/7AX//VX/KbX/+GX/7il2RZydCPXF9f8/j0xGG/R0mJmyz90HC2XlNvNgTnkTHOyYOAArQ2lEYhtEmGo7X0w5A6MBcr8iwlG4Yh4VPj/Oe10SmxOI2UVUXbtozWcn5+TlVVvP/ue4SQ9P2A0TmQcLtFUSCloKpq+r5FqoR3jzFydnbGfr/n7du3XF5ecnt7i9aa44x6naaJ7XbL69evubq64unpidvbW96/f8/Z2RmLxQKtNdvtdh6KhpdB6UknnXTSSX+YVAwYmVJ4akZrZ1rRDw43L4tkWlPkOQiVDEuRehqFEBAiNk5oKUj00YQbVcQZtSkJIWC9TylGIcjyPNWKhefZfuoZDHMvpFQZMniET5DVGMKPv+baMe89UsQZCxsgyNTVGOIL7Ucyewve4wW4cZzRoM+hveQThOCRMnkNPnpUpkFCOww/zsWFSulDKdK9wtyJKZVCIWCes3sfECEgVOpPTDRCS7A2ESCNQktIh/O0oCVnE46ZApnQrOk+yM9GYJyTnyGmVGH0HuEc0njyvEzPp/fJ5yCmZWtI1XhCQJQJ5YqgaYdkRgIBgdRZum/IMgDGaWIYxrlmLlBWi/Qzkgm167xLlCL1Ywr12YAUMZJlOVEZcH7uAg+EGBFaolWWsPwxEIQAbZIFrdSPQSxOQcj/I53ugH6PsqykKEriZJFCobSZ0aDJxY9zZ6TSGm0Sku2lrHU2zWIIoJ63LDyESFSSRb2iXi7J85xhSMW1wXtGhlRwKiVCpjeyj54fqcgxGaDPhuPMufZCJOznNNF1LUZKpNYsV0vWZ2cUVZ0OAU2D0SkCLkhbCHYaybUmM5qyKKmrimzug7TTRF2VXF2d83i/Ybfd0h4HvLdokx7nNFmkgrwu5pt/Sz+MWOtx88rD7f0Dgw2M1vK026GUYVEYnD8ipSJZiCktEUMgSDEnI8Mcp0+ReiVSZLvIV7x++xoRPPvdFhv6OdadBrMyU9hpAiIhevaHPUaLxLRWguAd9w936QJEIM8U0WuapsO5gSwvyfNUHjxMI/3QMzmL1Ibl+owilygZaJsdwU8pofHc2QkopSikpq4WLBcrFptziuUFIquo1xtW6zOiMBzbnt3uQNO1OOfnzZH04a5VNvOx04VDm5y8MH+S98JJJ5100r80uX7ECQPlfN2ZDxhmPqz0w4APkcWqJkiNH9Ng63g8EGJksVhi586AYZio6iohSUPg7OwMLcG5jhBHkJJqsSDPCjJdINCM05hK7YNDZZqFXJBnOUWRz4l9i29dwrel+3nGccDaCT9ZiqwgKwzL9QKjNft96izaHfZcXF/ybzdLHu7uaQ4HyjLdz9TLivNX55ztN0Qi290Tl2eXrOslv/3lL/n6t9/ys69+yk+/+jkfbt7x61/9CmMKYphvyn1gtz9wdX2Nc4HddoebJiqTc3l5wfZxS9M0bJZrgg8pMbkskikoUvdSQNBPEzI3RNLgMTjHdGyoV0ticExD6qJ4Rrw8o/C99zjnUFpT1zX90KOcYhhHnp6e0JmZOzT1fG/lk8kZ03V5HId0fyVkGhBHj1Kp+6Iq6zkhoSjLmqHv2Ww2c4dThnOOh4cHrLUsztYs8x/xqyGmg6gxat6oTYiezz7/hF/+4r+yfXj6E7/aTzrppJP++9P5xTkxRg6HPW/fvknXD5WQqlVZvyQZoveMXc84pM7moixRUlJVJQLou5bFasmiKtlud+RGs16tiftI8AEpUpq+bTu0zhLmW2qGYeLi4px906AzTVmtIFqGfk+eKw77hrIsKPKKslwwtJbRWtAq0ZW8Iy9Lzs5qTGbox54YA9Y5hPdYO+G8RSDZ7ncQ06CvqCrKokgIODdSljkheNbrDT//85/zcH9L33asNmvWZ2uysmRzsSEvcu7v7zg7X/P69Su+/aZDILi/e+Czr77giy8yHh933D8+URQlfdeTaU1elHy4uePi4oqPPxl4enzCW4fJUh3M7e0tD3f3LKo6DSuBvCgZ2p7JTlSLFW3fgZtgTmEIma754zQmFLxWdF2DFOm5ETM67rkjEpGu88vViqZpKIqCYRx5fHjAbzYorcjzknGyaGPSgDJ4tNEMY5/Sls4jfKRpGsoyp+9T52ZZVkzTxGeffcbDwwOLxSKREbqOLMu4u7tjv9+z2Wy4vLycXwstdV2/PJbnJIy19k/4jjjppJNO+pejZAAKCGkpJ7jA6AJSQJEbjMlSV+/cg6jE3OgoxO90GqY+QWIkukQb1CLN4udtH2IM+MkRYsROA5C8AKkkckapRucwMkupTCGS2RYcwzQhUg9bmkXL1CU4eYd4Th4icD4QbOo1lnNforUWO43YcUaXzxjRMFezRRKVSRnDNA5Y73DeMQwjWmbkRZlmE9OYUoomT/hykebLUqoXFGyuUngnxB9NxeeSxeAdMXisUIi5XoXZYA2QnqMQCcG/BIx8SFjTVDNj8KSOTphNvOiT6fo7SNcok+nrY5rhSyWRShI9iOjn73nuYJQCGQVCpYUi5wNKyPnr6fnvTAtbcu70fAk1BQ8hJAf12WMBmA1ZJSVoiCIipEQhCNEhZaqNc9YSYiJNeO+IqUx6LvgU//uX6Um/o5MJ+Xu0WFScn62Z2pE4pTdNcH4uO51twZi2EZACGxKCNcb0ghZSIIJEaoWSME4wOYvJM9aLJXW9IC+Ll026tmux8yBUSgkuFb4abdKgTEtUFMQp4LwF75D6uQBWIFzagJicw40D5WLBZlnz+uqSi/MzMiW4vrygWiw4O78gl57D/pbtdstx90ShFGpZs6xX5CZnv9uTKYHWcH5W89VXH/P0lHNzE9g9pUOXtRPBWaqsYrNYUtdL7p+2NM2QehCR9MPIofkA72+JQiKkRs19EcEGjFR4KZi8BeGRCqwLKSIvAP/jhgIx4dWIsFisMEoxThO+txij0EoiVUKrKalQQqDwTMNIEJHloqYsamKY//7gkSJQ5xoVFG6SjCGQG4OUkofHLf/r3/+CX+XfpoNQP/D6zUe8eX2NHXq+/u2veHq8AXLqVY7AJ8KrT+sURhmyrKDIKs7PLihXF+hiQUTQHkcm63A2fezZkFIZVxevyJRAIdk+7Akxst+2iChZLVd/0vfESSeddNK/FF1v0kBy7Bx22oM0XF6+YvKOx12DJ3J+eUG9OQcpcbstziUs+PFwYFEvyLUiRCi0wg8Dpih5fXmJyQti9GTZOc523N7+gFMFmamYEARnubi4YNvs2GQaozJCUPTW4kRKb2RFRXM8ogMURUFVpk6iED2qTviUqXd4FYnRocuMTBtsCOy7Li0ZIbj+6COEgMkOhEPqXQje88WrT/DHgeZ+T13VvDn/iPPzMzJZ8frtx7z96FM+/fSn/OqX/5Wnx3uIHiUkRufs90fwgs3mEj9NqV+za1gtKnKlOR6OFKbAO8/u6YDShryo0FkGUiKykil4gvcQPNKng9nYN+QxJ8sNUpCw6pOgWp5jfTosWudg7mnSmSHXGuc9g51w44i1E3VdUS1LDocD/dCQmRznIzba1OG9WCAGyTROKKOJfqJtW3a7LXmRoZTEh0SSODu/wNqJtmuoqoqHx0fapsV5T2YMTXfkeDhweXHB+dmGpjmSm8DoJxal5vp6TXvc8rxNG3w6FFnr5hQLvBRin3TSSSed9EfTYlVx+/ABHyZ8sEBAEvnk7UeURc1+2/Dq8g1FVqAk5FVGnNLQrGsHiiphU5cxmYwPd4+slkvOzs8o6pKuG3Dek2cl1jq0VCglMVJxbFqyLKftDpxv1mhVYIwmhAF9tuTh7j3tvp27CRX7Y8NHH3/BftfQ+4CSGTFKQoj01uOEROmMMFj6fqSqKhbVkmEY0mA0OhaLBdvtlmVdM7oRO1nWF+dE6xhHS7M/cn93z2K55Or1NYfmiJWBw/aBEDxZZlgta8ZxYOxbRAj8q7/+K/Ki5PLsmvXK8f/6Hy74n//mf+Lu9hbvLHmeURUFu90T91M6y16/esXu+MS+O7Cql1xenLF9eML2A1VRM7YjOJkqVsqKaAxlvqSfhnSWFgl3Z7KcaegRgK5rtBSImSZxeXmFC55AnIkRCc/uvU+JUJfuWXzwPM29kFJLiirneDggVer7nMYRqdIwOS9LpimZosGNOBfo+5a+H+dE4x5j8kSlqBZ0XYsQkuPxSNMcuLm5Ic9z/NyZHWPkzZs3HI9HxnFEKUXf93/qt8VJJ5100r8IReY+xuAo8rTsIeIztlPMM3NBYdQcT5MgU30XSiKUxI0WSUyz/uAJNiXlrPconRKWiUbosM6mxNwckoGE4JREZHQUpmAaR5ybEELQj1O6xhCpqwqtNX3XpWUUKciUJgjBOE4JB640SusUrvGWGFLH5DRZsrxMdWcRfLBIr1DolFacU5lKapz1hABCp6VbKSRaZwipMHkBQiGETl2Lz3N5owlM6NlbEBGCcxAdWaplTMZhAEtKS0ogep/IUiHM12NShZqeq2tkxEewzqK0InifwjVCEYkMQ0sQkOepQzLMHY8+BERmCCJASKEkEUBFiZY6eS5Aluu5EzrifGR0iWKgdYZUEkQKOYVoU/pSJG9DSM3oQ/IXREQk+GvyHvDpedPJ4GSmLRiRz6GzCMog5s5M6Q1RmZTKnE3IyAnH+k/pZEL+HsV5Y8HPXGgtFAwj9nei1Km8FLp+QMk0RAPwwRO8Q8SIFBFpDFmeI+cuyN3TlqenLW7egnDepzTAjBvTWpPNJRRKCqZxxLvZ+xepb8mTkpDOuoRd8Wmbr1oumLxnu31kGHuetk9EoO16ysKgZKRvDzw93vH+w3s+fPhA27RIKamqCjdahr5nUZdMQ0PfH/F+YLksODtfsT880nUZfdejlCQzeSquPxwZ5oORn7Eqbi6dtSGmxcaZFT12Pd63eJ8MRcm8OBDTRoeYtzIgxeJTKy+pezIImqbh22+/QwlJ3x/JixSrN0aj5y0XrQ3ejkglUVqhpSDTmrosefP2La+urxHR88P33/DwcIcSgkVVk2lPVlTp4GM99w8PjJPDOU9Vlfzki5/w6tVHTGPP4+Mj/dBhtaKuNAKPHSfGfY9UGh8c+/2Wdgoc+omLVxaHZLs/IqTm/PwCrcETUFpxvl7z1ZdfYqRi6FoOhz2Ts6lrc+4JPemkk0466Q+XEIo8T1t3wpj5hlWzfXpi3zZcvX5NWa8YracoU/Lud7Fa0zRxdXlN1/UYZVguV2itGa1l6DqQkhBgmga8hzyvkFrjXaDpe7K2gag4HBtKkf49QJQCKRVGaxbLZSqkF/JlwKZNjswEu90+4cmzjKZpGIeRuixZ1DX73R6jDefn5wjATj0gGPqRrklm2nq95ssvv+Lmhw9885uvWS4WnK8usNHy4YcbhEoJg8vzK2SEw+6Jrm3J6oxMaSKCXGcIbTDeoaOnb3pEhFW9xI4WO1is81xcXpGXVTLu8gKyDPW8QapSj6bzDq0NQ9cx9FAtKnRmcD7StC31cpU2VftEPrDWMlmLMZqiKMjKYu5pSr0c+/12xuot0NowTRat9dwREZHCIGXap3QuUM2Hw67rcG7Ce8tiWSXT+Tike0JSl6ScOzuGvk//PgYe7u/o2uO8DRqY7Mj5+Yb/5//w/+D//d3/JyVD5y4Oa+1M1njeljyZkCeddNJJf2xViwq3n/DBMY4D3iejbr1aI9AsaljW67kLcqAsc8qiQhiFKXPKqsY5x+PTEyEEPvnoI87OzlFaQYS6WtB2LV3XobVhtVonkylGzs/PWK5WDOOIUpqmaVjUFXYa2Hc7jscjeZ4qSpq2x7pA07ZEIfAh0HY9IYTU22QyhFB4H1kuVwlJPnchFkWRUhgqcv/wMKPaBE3bEpwn06lLqj0cyc41b9+8ZXfYcmwb8rLgw4cPbFaJXrCoF/zk85/wD//wD/zd3/wtf/mXf8X11Sv2+wMf3t/gnCMGm4apr15xc/Oe4BxuSgnTusoRSCY7sV5v0nP3+Mgir7g4O6c7toz9gNaGfJVj8oLJOXRmQIHOM8RMd4oxpn5oqei61KtYliVVle7FEvpOv6QbnHPp8c0zmizL0FozTRNN1yKkZLvbJZrBaoExCcNeVMULZcF5D0IkzH7fpa8fI23bpt5p7/nss884Ho/88MMPvHr1ihBCwt2aM5qmSZj+uW/r/v4+dXYC4zhSFAXL5fJP+6Y46aSTTvoXoueaDoEgMxlaKqKE0VomZ5OJpATWaQqdzwjPmVgYkwn13A0pCClpKCXyOZSiVJpfz6lJLWVCc8pkUCmVPuuNkmgp8NZCDGipsOOItQ7vHGoOuIg4j7XnWTVC4UPyAaSYTS8hUCoRAZ13TFOqNdMmJQQRqS8yxnQPYGdCkNYinbOzVCknlSGGiFCSuqrwMTKOLi1DxdSFaV0kCE8Q4EVA6EQ61EISxGyneVBSwEwm/JFCkO5DRAgp0RjCnCcUL4nAebKBECJRJLVARogxoWZjTM/r83VbKA3BpwTiTJOUIvUzKiGQMVEhfepsQZP8Aucd02gJ/rmjEYRIJKn0swMpw/y4EnqVuWN6Lg2fX1Ezlnd+3Mnhni1FAVLIZGAL0n1XiASVKAxi7t58JmKe9I/r5Gb8HlmX3vR+3rKz3uP8MBfUpg+JKMScKnAI1GykpS0K5xyEkEpclcIYk164MfL4eM/h2HBoG5CCeu5hjIDJc4qioNAG7zzBW6SUODuBDyhE4k3PLGgfUk9i6kNQlFrih477x0c+3Lyfu5OgqCvKqgIkNgSOTcPd/T2Pjw+0bYPWmrOzM6YxHQ6Wyxq8Y3/YojV88skbhPCMo039SsolXAqRaRrp+5HB7lA6IwaBcx7rIwiVtkiUTig2lwrl+3H833zopA94QYjh5cPt+RciJU6996i5KPfx8RFvHSFYrq5WEAWZMunDilSSq0WGkemflYDc5NRVzWeffcFPPv8cZ0cO+x377Q6ZS6QOIBxSK7I8Q0fNZAP7/RFrPUoaQhRMk2WcLHlZUpQlUjrKukDgUgxdgtQCHx2H45bQDRyGES8kk4+8u7lFCI2zn1HXJdF7iizj/GzDq+tXaCXpm4ZIOlAOw0CW52kAe9JJJ5100h+sar4mtkOPzAz1okZnGWVd4yXoLEuYFClompYQ3MsQ6scBYKAoCvI8p6oWqZ9BW/aHhmkc6PoJOzb0fU/wHkskNwV5VqB1xnKxJi9qFptzJpvwHs45hmFgiJGqql6gHs/XyTzPGaZ+7pCWOOsYh+Hln6uiRCwDXduxf9oSYyQzCuccx+ORy/MLFtWCvC64NIZ219A0LfjI48Mjk3c8HZ8wuUYKmGxHmAJVVqG9oDQFwUdccPhpIs5pg1znqFqze9wy9RPn5xcIFE3TsdvtkTKjWibMaW502oTUirzICKTu6NFZVssNgcixOSLUxHK1RmpN27YAZHPnwzPuJYRAbjRxNveyzMxnjEiWZXjv6fserQ1ZlhD4ITyj3hUxeozRTNOI95ayzAhR0XWe29tblsuaosxRQbLdPnJ2cZEOU/PznWUGYmQaR47HI1VZUhYlIXqOxyMxRv7qr/6Cv/lP/zl1Z0jQOg2TTzrppJNO+r9Otx8+oLV6QXCvV2vwcDw2KGlQyoBMKcer6yust8ShQyjJ2cUFq82Gm7sb8qJguViwWC5xMeBsoBvScsrx0BBjZLlK5uB6vQYh0MaQFwWQUg7eO46HA323x04dfTdA9Gw2a7p+ZLVcUdcLqnrJarlBkpZixnFM84iZlOTnIePzkMuYVNVxc39DVZYIIrcfbhDAsqo532w4bHcYrbm/u8MYk9Cufc9uu6Wua+qypqzKGU0buX1/m2pJPDzcPXL/8IAPgbzIEDKyfXhEK6iynOVyiZss4zhh/YQSChEj0zixWa7xo6VtWi42Z1xfX7N93CWjcbIolSXs3WxcllWZFqJDMv76fmRzdoExCVPfth1Kaep6wTiMSK1elrchGX0xRsqyJMZUUyOEYL1a0bQddZ1M5W5OohRFMd9bpEXfLMsYhiGRFrSi61pCCCyXS47HI4+Pj2itOT8/5+LigsfHRy4vLxEi9VyvViuEEC9f1xiDtZblckmMkf1+/1LdctJJJ5100h8mpdQ8LyahToWgH4f0Oe49RVUgpQJ+BG4SUujFkyiGs6f00tsYnvsbUzYuYVylwuh0zZUyJSilUqlbUWu0VqgQ6I8NxDSHHpwnuEQ1zOb+Yu/Twk6lNV4kLGsIgSzLUqIwptCREhIiL0GlVAXHC+pVzEusgZjwqTEtVyut57m7AWFw3qekoBQEDz4GjEwehgd8cHgXkTiCDKmCbn5OpVRI6eeauNnsFcwJUPDO4sOcII3pcXhI5h4vFh7zH0qVc2KuqfOB4ANxRqqHmQyUFnhSelLNhqYgVcnJmIJYSqvZQE61dBHAhURWYk6pxoiIARHljNx9JlnKl+cwCvU75FT5YlCG2dgMMZmfMb14UupWzl2cSjEHMNNjnJOxMYqXr3fSP66Tm/F71HUDu8MRg0SrtKUAyXwUUiX3e94QEEqlTgJnX7qlYvCY+U380hEZQ3LpY8D5Ce8s2mi0lmRZuvldLVesFguUlAxdT9P4HzsP7ESmJLnOyDODHdPWv1IKonsxQZN/7xEigEibguvVAm0yur6n7xr6rkUrOD9fs1jkOOtQAqapZ+ga2uOWrmtxbsJoyTh0KCno2pZqueDso3MWy5rtwyPffvtN6k0qa16/fUtZL/n+/Q3vbm4ZJ49Qgsk5YnTEOBfjxogPqQsyaTYc53d6nLcmlFJpM0SIlw3H5+1PEWGxWLKoFhQmQwuNs2P6WkohoydfVJydbVKyNMTU89iPDMOIkvOfX63SgaQfidEzTZ7NpuT88hqpci6uOppjixBw/7BNW43R0bUHRuvwAdzcwxEEBJE43ZMdsNaB9kQp2W1vECrDSI9UgrHfMfZb+maHEgFBpO2OVEVFvVzx+WLJZD3F3QPr8zUXF+d/onfDSSeddNK/LOVFwXK14vF4QBKZvONyvSKrS7pxSIeDGLDWY6cRJQV1XZPnJcY8JaRK38+9AwohUmphHCeUVLhxYrI9IQZiFFgbMBEWZ0uKfIGMklwbiiz1DxutUfP2vLM29TJbm9DiJh0KnHOM40hmNFYbBuepihKFYL/b4UbL7vEJQuRstWaaJp6ennjc7lgul3z2yWfzclPk8d0j3379NU3TUuUVq8Warulpu44QI8djg8kki7rEaMmxe6LOaqINyBAplE6Jv2AhgreBaCN5ViCDwk/p3uXi4hIfItZ5uq5Lm5AioUq8szgrUCYjMzlNN7C3DXmRc7a5JMRI1/ZkZVrgyrKMaZoAONtsODYN1lnslDqWJGBMjlCp40FKibVpeSrdP3ic9UipyHM1JyMdQz9RVSXWKtqunbs3HZeXF0DkeDiyXC1ZLpfs9juqaokQMnWH9h1d21KWJcYY9rsddrJcXV0x2ZHj8cDPfvYlv/zlrzgeOpxLPRrGZKeDykknnXTS/4Xqu579Lp3bvvj8c2SUmDxLy0NZyePDjvbYk+cF51eXfLh5TxCCsipZn59R1BUfFZ9wOBzRWiOMZphGog8oqdicnXHsWioEm80Zfd/j/f+fvT/bkSxLszSxb09nlFFHm9w9PIbMrO4qkN0g0XckX5YEX6VB9A2rcs4MD3c3M1XTScYz7okX+6i4R1VlRQMZWYEOygIMbmZuqioqonKGf/3rW4H5IplO+80ehEjnlb6HGFOqb+xwzlOXBXU1Z7SR+WJNVc/I8gLnA5kK5LlBiDj1CL4u6cYpJZGWcyGlJaPzROdYrdbYfuSw2yGFYPeyJXrPm9tb9tsdd3d3+BC4ur3k+uKK7XZLpjN+/N2P3H3+TN92FFnJh/cfOGyPNMcDs9mM/WGHGw3r9ZJMaoIbmdcz7DCghKAuCpxz2NGlyi0faY8tKirmszkCydBb3r99z35/QEiJdy6lNLICN3q8j1jrMVlBZjxdO/Ky2bBcrpjVC4IHZwPWdxRF9tMiUp6T5/lpTvBqAqrXFEsM1PVsSjcEtE4f2/cj3sdpgK3ROkMpT4yeSELhH49Hnp6eyLKMv/zLv+T+/p7Hx0eurq4Yx5HtdsvFxQXWpsTjKzWj73uEEKdkZFUlskLf93+y98NZZ5111p+TlEoGYwgh1VyERBSw3qXF4rIiLwqEkNP9eJoju+hPc2glxORCAqTZOYKEdX3tkZQCFRUoUEafjEijEz7VSIUSke408wemRH5dFhACzloInjzPyYqcQ9cz2HT+rqfFmbZtUyrS/WRmpc8vUVpipnmASKfZRErQGk/qOpQmLeqGqfcyzyu8jxz7Hh/SgrXKM6RMRKOUiAxIP3Vqismqne7xvXNTaGiqnJsMutceyVNvJnKa3kNMcFvC9Hsm8zJVyE2vVwwQA3Ka//tp5iH1dP8uxLSsm14zQpy6OSNSS/TkAMrIlIr0lJmelnwkr0HExDtSP0s8itP3HV8XgoQgCklkqogUP3kVJ03LzSJyCkm9olel1Ce/53xb/4d1NiH/gEZrE74rK1I0O8TTxeyrAUnqwU2drVMkOngPMSBIB4bXDUXn3OT6e7SSFFkOs4jJMsosQxBZLRcsZnPyPCc4hxQQvaPvuyltmbb/Xw06KUViI2s1vSkAH4jBk2kFMfVRIiTejQiRUpuSSJGbtN2vJNYlM3McRg77A/u2ZbfdMg4DSqXP37XHFDmXkvXlFe/evefN21t+ML/j8fER7yO3t2/4zW/+kuX6EicU908bbHegMFna9JjeuNJoTIzYzk3x7bRFkSLX6aAjp/i0lPJkU2qtMdqgtcZaS1VXfPPNV1ytZjg3YIcBb23CzwjItGK1WPLLb76lzAuenp44Ng0fP37GOU+RG7puROscpUa87xBSoUXC4H34+htmsxXd4DkeGtqmYb/d8v2Pn3Bjh8lAptJK2n4E6VLPIxERPd6NRBUhSsbhyG4TMFlJkZdkuWRot3Rdx2F3QEvFfrfj8+fPLBdL3r55x/XNLZebLavnZ6q6Is+LP8E74ayzzjrrz0/b44GsKgmEhCYR0PU9jtQTobUhSsHQDbTHhjwzlGWFMYYQIsdDAzOFEI4YmczI9Ln3+z3jOKZtRBEZIjhr04VwCJRFiR182qI0ht6OabmJdC2hpg3LrutSz0KWkZmMSDpfSgHr1YKhy2malt1mAyHio8WGyOFwYL/dUlc1l+sL3r95x2634/OnuzS4nIy746FFa81f/eW/43J9QYyRjx8/8eXhC9562v2R/dOW5aLmepUQ5l2bUp6viQmFoDn25FnOsWsINlAVFcFHhn7AWs/64pL5YkXTtXTjMKFpUtLSWovzAak0VxdX7I9HjseOvnfkRYHSGW602AlJU9YVSmm22226AULgrEMqSWayZDwGSwjpVijPc4QQDIMlBiBLG63eJ8N4tD1GyUSvAOq6RKmE0R2GHqUkq/UKISJta5FC0DYtWV5Q5DlFUSIT74Wmbaiqiu1mwzB8JC9yVqslUkp+8+vf8L/9b//faXh83pQ866yzzvq31mG/x1lLWZQoqTEm53hoWMzWSKk5HI5IoVhfXrLd7nje7lDGUEzosmPbgYCsLMmzjKZpUuI9L8DI1FGMmAytZDrleVrsLXRG1x0YR4t1FkFMKLOYzo1SwHK5ZhwdRmcUZUlZ1fiYNvubrkXENEvI85Tib9s2ERKmi41XMkNd17y5veX5+Zl//sd/pCpLqrwgWMf9wxMA282GD+/e85vf/Ia+7/nH3/4T7bKlaVq+3H8heui6novVJf/hf/w/EUPk88dPtPuWl8cXXLQc9zsyLblYLBEy0Bz2ZFmGcz4lR0aH64eUOPABGad5h4/YwRJDZMhH3r57y+PTE23XcHV1xdC3FGWJ9Y6maSmCIMtyFosFL9sdm82WejZL51sp2R52QKCoytNz/4plVUqdUqNFURBj5NgcUToNZ39OWpJSUtc1XddNKPY0cNVa4qe5T1mWCXk/DLRty+3tLc45vnz5QlmWOOfY7Xas18vTIPJ1MGytJYTAdrvFuYQCPlernHXWWWf9cfTqH/oYCMHjXepGNMaQFTlaqylp55AxdQmGGBLpMIRkbE0I1NcsTEq1CbRQaJWQrBGI8uSFpXtxYkKYRo+bUJ9KpeO+dw6jDUWWYaQieDv1IaZ/E0OaGxR5MRl5EggYYyYMq8d7B0JiTI5WCqElxqQ5ODJVmQilQalTpRlCTtcHApQGY5BaYITARIE2GSafEO4hJS1DiClYpVLC0DpHcClQ5Z2bFoYthGlhZ0KXCpWoB0gDSiFkRERBlJIgUstimM6zIuqUIpSTwUfq3lZKI5UmBJ/mJmFC7DJVsk041NT7me7rvfcpoQonglSMPuFzZTJAnU/oWhGTaSykJEpFmLojvU+9jz+VoshpQTr1RYYQCKSUbBSpAk9Oy82v1w5iSmq+XnucMaz/+3S+AvoDUjq9SbU2SCQKkFL99MaeYsFTOHfqe4QoU4Gp4KeLUKbkHiTutM4MscwxmUql7JkBEWmbA96OEALjMNI3LYf9HlTEZCYlKyN4l4wuKUVa1hAprCyVxIiAkoIiMxDTwdUT6buWPBYoKaiqgpIUT5dasVwtuLhY07Ytn378kc+f71KHVEyPWUqBRJ7c/0PTcjg2zA7N1NMQyPKC2XxBUdVIbRhHh7UOIRQupMLcENKBPYQpBfn6/E1vWkE6sCVjN546Hl77LYwxzOdz6qpiv99TlRVXV1dcrudsnp7om47gI7nWLGZz3txccXVxybs378iyDGsd1gXG0XF39yX1PtkeKUCpjLKqMT4y2MgwjhwOB/rRM46Csqx4/9UFs9mcfux5bo+ozJAXNT70tP0R53ts36e+rNfYuRLE6LFjy2h7IorZYgm+5tA0HA4t3gW0yjBGJ1RtN2BMiY/Q9v1UuMsZ4XLWWWed9UdSiCFhSUxGluc45xnsiC7SNv3+5ZnBOYL3FEbjfaDrelKHoKPIS6RU1HWdhmLbLQB5njOOjrKsmM1LnG0ZuuPp2qHvBhRpaGdHlzb/TOotiCGd141K6JbVquBwGLHjSIj+tGX38CUlHOqqnBAykVlZsdtsiXnO17/4gLeOH377w5TSm1EWJTfXbzgej2y3W4bB0vY9VxeXLBZLrA/kJkNrw+31W47HIy8vT7THHZtxx9j2fP3hLdF4ovWM44BAUBUl0SWUq7eeWblAAKO3lIVGasOxacBorq6vsd7z+ekL1WxGZSpiJCUZhUPpjOViyXy+5HBs6JoOFzyryxXrxTw97q5ndbHGTuSJzJi0NTqhYqy12GApywrglEwxxuCsT11UeZ46qQE1SOx4QErFMIw07REhYLFYcjzuSSi9hHhbrdZsdlsen7bUk8laFBl5lrPf7ZjNZsxns6nD03I4HDgejlxcrvj3//5/5Le//ZGX5w1SitM14VlnnXXWWf82KrKMXGuqKp0DHx+fuLq4Tj3Bw0hRFFRVnSgGzoIQzFdryqo+bcYP1vL0+IQQUGQ5ISTk2Kwo+fLwyDCMLFcrqqomy1LC7unpmYsLGPoe5zzL1RKTKbabDePYI0RKNMQo6AeLlBpQSK0ZB48yyXi0w4hSKiFPnTstOCWjLOFa9/s9h8OeeTUjOk+R5YgAT0+P/PqXv+L64pLHx0e+3N9jlEZrzWw249e/+jWfPn1CCsluc8COI3/1V3916nQWQtK1PV99+AXf/e6fccNI33R8+fyFt29vuLm+wPYdQ9dP5+IMU2r6tuew3VPUNWVe4pzHB4fJFSEGRmcZrOXDV1/x8PjAy8szb96+pfNh6lNKNTNZllGWJdcmZ7ffsd/vyfOSy8tLri6v+PJ4Tz2fnZ4HYDq3p55M5xzH4xFjDPVsxjA4gk/LRgmblha61+v16XO0bXsaIu73e4SIJ0wrpKHoZrNhsVjw5s0bfvjhh5TMkJLn52fW65SGHceRqqpOs4xxHNlsNvR9f+6EPOuss876o+m1tkuc0m9lWSZcqlY4N1WdeEeVp3vOEKelmeQm4rwjSJESkaRl4BgizgfQAi0ETEYl00w2vnpjLhDi5IROBuM4JmMsNxlFntO3DRJ5qmYTQtD1PaooyfIcHxx9PyCmGhHnHNaPqaMYgVYaqRRCTgadkogoEUEkogAgtZnuvV2amWc5URl8EGijWc1TddkwjmhjEELifUAylVSKVBXifFqcCVOoybt03vTeQ3ilMEzJJ6mSsag1QukT1vbVgHxNHUYhfjL5puuqKAJCSvS0PDyOFmstMaZ5v5ScTD7xCtKd0qrWWoxWECN2TAapFBCFBD19xCtLFZEMXJUeo4sQogUfEa+pztceS15fR5UikV4QxPRDJSNSTVjYad4ArwTH/+wn8jyv/2/qbEL+AeVVyXy+INhkgiUEqEvltSL9cIeQNhVsjOhMTwcXkbYRQiDTOuE9TNq4G4chbRBIwawuE5Y1Rnz0eB9ojpbHpuF4OOD6kSlJTb2YkeUZQkicG1OMODhyrSczLwCv3ZCeTGm80TDV7w7WnR6TVAptNGFiHOdZxtvba7766kNKJIw9Q99x2G1OWxtaKYrpxqobBp6enumHgY+fPnHY7emGkaIoadqO+7t7bLjn08d7um7EE3DWnbopQ4h4H/AubSk653/aYgkpAYL4/U3FVz73a9H869aiDx5rHW07sNvtOR6PyOBYX6z41S9/yS+/+QpvLZnWOBtomp68rJktLggx8nh/R9u0lGWWmOBCIhXMigqtNfdfvtB2I9tdx9u37/iLv/gL6sUcneWU9YL15ZzMSF5evtCOFqIgYFAmx2QZ1lq6rkdrjZSGvm9pmp6xbdibjMOxJYRIUSZUrh8tXdMipebjp088PW9o2xYhNSbLaNvuT/mWOOuss876s9HQD/z440eEkhTzmpubG3rnGMeB55cXDk07pe4UNzc3KdmQl1hrKYsaELy8vEyDseK0dX84HCiyitViQcQzWE9RVNR2RAlYLZZ4L/DjwNgPZNlI13fM5jO00tO50jPagPOSsiwo8p/6n2KMLGY1x8ORtu1OyzmH7Y5IMt2evjyzmi94//59Sts3LfViTlnV6DyjrCu+/93vKOqKY9/y4+fPXF1eYp1FKsUsq7hcX7GaLWmOO3bbF16eH7njkTzXxCjpmwEhIkPfs1xc8s1XS/b7HS+PG5SUlGXq3LTeY31Kix6blqgE3377C+6+3DEMHfVsQRxHRms5HnbMl2vysqKu0wak8wlBKwTM6xlRQN92KBL+vO/7NFCccLVCiskIfk1DTmXzUSJETOavbcjznNlshjGaw37AGMlyuUy9Ty+PWGvp+4E8N2R5hneWp6cXtMl4/+4DLy8bXl5SwmQ5n7NczBFCsN/tTgPjtu2JEXa7PVIoLi/XbF42kwF6vkk566yzzvq3lAJ0lpPrjL7tqcsZlxdXNMeOpmnJsrRsfDwe+fTlCx++/oq3b98yOEvwgZfthufdjtl8hhSC69s3OGvJs0Q5ijFSFAX7/WE6X+QoZcjzgs3LDmMMN9dXKC3Z7V7SPakxFNrw7t07jscjdrTU8xwhFE9PL8zmy5SM8BGl0/1+1zcJ2TYr0YM8mW3ri4Rdf3p8pFCG3GR0TcswjNRlxd3dHbe3t9R1zfsPH9hut9ze3lLNaqy1fP311/zDP/wDeZ5T5AUPD4+YN4Y8K/hy/8DFxRWzek532xFDx/NzzsPjFw7bPcGOQOC4b9Basd8cWM6XfP3ua57LLR8/faaoKsqiIqsyfPC0fUdeFfTjQNjvePfhA80//APWOXSmccFjjKLvW8qyIMtyBteR5dlET5Dp/9U111dXpwSkMeaEYpVSnhaHXs3Dw+FAUdQ0+27q8S4ng1Kz3x8xJqMsEzFBSp26oI3k8+ePhBDY7/enHs4sy3h6esKY9Bo+Pj7y8PCAMQnBenl5idaa4/GYXrO6TjUupOHp4XD4E70bzjrrrLP+vHTqKJwS8HVV0XQtwzhiZA4xMrgRk2UgBUPX4b0nn0JCQ9/Tdy1KK6qixJiU1JNKQkjJOOcTtlUoic4zgg+/9wBCDBDAE2i7huDDVA0y0fymBVkpJM4HRIzkZYkXMqUGg8RoQyQyWEt7PDKb1Zgso+87fAzEkAh/TXtMqUklWSyXpyRkP1qkMcznC3wICWWqDFKnUIydlnyUyXCTJxDjq6GWnscQ44ngGKxj6BNpIU6LvkqlJaHRjqlSREpUZpAqpQyVUqlCRhkQCqE1egpwRUihq0kmLyfMa7ovz/McSOfIcRwQQqCVRAmFFOrUpxm8w4VAsAElksFohCSSglfBe5TW5HkGUhGnhaNEq4ypB9MHBAKjstNCknduSkFKghJIZdBGErxPaVFnQb36QcnDMNqglMa5cLr+SPU84pyI/G/obEL+AQkhUyzZe0ICO4MURDHxgl8LT/kptQfTgTCkXsDXuK7WE//YJ9NShtT/Bwm36pydth1g6DuGtsVbT5ln5EX5e2W1KaKc0nV932PdiPWOQJjizckslRGM0oi8QEkPUlBUNXmZti60NozOcjwe+fjjJx4fHxmGno8fP07b/45iGjYKJIgUwTbGMHrBbndk87whhMSyHkbLD7/7kfsvzzgEm32bIuEIUILgHdY5vE9o2zjl2YuyJDOaYUj9l947YkzcbsHPtw3S74/HI8H79F/n+e0/f4fSkqE7kmvBsiooy4K6Llmvljw9PvPP333H8/OWY9vxi29/xa9+9ZfEEKiKkocvnxjHluZ4YHSWEAWVyhFK4UKgH0YOxz3+U2AY0w3m88sLZVWyWl9R1QVCSdphwNoepQzVfIFEYP0Ra3tiEGRGkiuNrEoQET/2iOAgRIwUSAJKQlWV1NWMLMs5tm3ieyvN+Vh21llnnfXHk5aS+XJJM/QIBMfDgSgVY582//Q02KqqiqZpqYqSrus4Hhu89yiluby8ZBztNMBK5+rddj+VukuMVnRS4WzCssTgT3+vlIaYNhwrk7oOO9elrXtjTtcEXv+0sVkUBVlmaI5NwqBIyf39PV3XkeuMxWxGpg3OWg5Ng9Gapu8o6oKma2j7JqUBlaKcVWRFRjklBoSWZEWGGTK6Y48xGcv1mmEceP/VN0ipKArDYbcBHELmED0hOvb7hrIoKcoZ7z/MGceRpmmwzlMv5tjg6d1IO/YcjgdcsNRVRQS2L89EISiqCqU1fXekH1qEVCgZiVFQFAWDtYzjSJZnZFnqfeybFqX1tEWZ0iF5WTB0A0LJEwGhbfqpUwuqqp4Sky5tgUrFcrHEeUvbpnP47c1bjsc9Whm2uw19fyTPM0KIHIYGpSxZlnN5cYWbUDV3d/dIKbhYr/HT1ujV1RXH457NdsNslvO//C//V374/iN9P56QcWedddZZZ/3bSApxQoH2veXm+g1dN9L3aYiWFwmFZrKMi+ne2HtP07b4GOmHgVlds1quGIbhhFPrup7dfo8UgqoskUqTZxnGZNTVHGstAsl8NqfMS9ruyPGwS9cAMSX2jDHTFr1ISc2yRmWBYRxp+45FUSKI04JxIMsyhmE44dhiTF2R1lq8D/z2u++IPvUjXl9fnVKA1juen1KtR1XXHJsmXW/0bcKNVgVFWWBkej5iTH1SymjG0aFXhrKs6VvLenWJlAqjBLvtBq0FZVGlnsMoOe4bohesVxdU5YL7hy9478mKInGjtGIYB8Dxst/hBdy+fcN2u2HsA0prqqqirAratsF5m9BwwZNlBqNzrLVsNs+s1qsTKhXSc5oWlsSEzU+DQWMMRVFgbRocPj4+Utc1i8WCpmnQWp8wrL+HV11WzOdzpJS0bcs4juz3+xMet2maU+ry9vaWpjlwOBxomobVakWe52mRWAguLi6AtDR1Hk6eddZZZ/1xlBKJr0u64VStIaVECoFQCiOyaVElJRS998iJWkiMZMYkUqGSEEn3cFEgg55SgpEwoQdFSAal/FmOTpIw69Y5Agk5GpVk9B7n0znIZFnqhG6OaU7vFV7ECTsacd6jppn3fLEgywx+IgIoqVBa4l1arjWZIsqEHDUmdS6iVEKiqkRWEiKkpOKUI/SRE6kxPeqEn5Wn0E8kxJ/uSaWUZJlBSfBO4u1rLRxopcnyHBsBqaZuyPT1o5AIrU+JRyaKInLKM/7EP0WIqddR8Xs+ymtv5zja0+vy2sGppUFpTZgQscIHFKmizsfUJZleqnjqqEREhErfuySiJk/DjyPuFQ0rZFp0UpLgHEG8UmAnP0elx/rz83d6SuPPfiV65Ctl4az/us4m5B+QFAptMkLwk2HmEXGKaZM6DJMzFJByigtPpmMkkgz5SAieENLHaa3AG4RNjOHkz00HsekHODOG2awGH8l02sBXWZbQcc6jRSp3ddZihw7rXBpWyvQmClO0nCgwSiGlgmiJpALVeT3j5vYNN7e3tF3L3//9P/Cf/vZvedk807QHuvZInmuEiBSFnrYKAtZ6IG1ICG3ohoGuS52ReV7gQ+DQtIz7AwGFNAVlWRGIHMcDYXpsP3/zppuNmrrKOR4Fw9AyHdFOByBIzGk1HZQOh4SMiTFineXuyz0oiVFwMavxMWC9p+t7rHe0XcsPP37k7ssjZT1HZTl1PcN7z2q1JgZLc9xhrWV3ONKPFo9idSFZLObkZU0/Wnb7Aw9/+4BAkOcFv/71r1mtr1ksalCKfdNybA7YvscFQ6YkWV4x9hZvLS466rqmLhTdMNIPI3We4z1Eb4nBUeYZN9c31IsVCE1nPUZKtJFkWiLk+cblrLPOOuuPIS0Vq/mC3X6PHy0iRhaLBZ0d0MbQDCMIMEqhkIQATdPSNA1VlQZYl5dXtG1LlmVUZY2UCu8Cw+Bw1pGZDDc62qYjM4miEEKkyAxKqWSEOY/Fo4xBGnkanMVp206rZLKd/j4GmrZNSzltSz+OmMyQFwUBWKyWVEWBUpLgI6bIOA49H+8/YbTh9uaWsqrweGaTabndbum7HhU0xbxCoNgdDywWC7KyIssyvvnVb3h5euLt+yX73TNPz1/IjMIHyIqMl82WYRiYVTWr1Yrr2xu6vmez31HNZqwuL+nHgaIu6dqWzXbD+vKC9XrFZrfFjgN931FUNZnJcdGBCJhM4dxIZjICCb3ivSfLc+qqYhjH9Gdj0vVPhMxkjFOHZPBQVdU0oBwZR8t+vydGQV3X5HmGHRx910390JKmOaJ1wXpdpeSkG6nrhOxr+9QdPQw9wzCSZQm3451jv9/irGM2q6nr6oSUf3Ob03ZpiPk//U//Z/7X//X/g5TybEKeddZZZ/0bSiJojg0f3l9wbAa89Tw/PpOXJYfDntl8wdXVJX/zN3/Dh29+wXw2oy4rohCM3tH0LRfrddqsn4aIm5cXlFJ0fc83X3/NxXrNfp/S7ov5gqqc8fDlAYElMzlEGNqO4/FAMS0Vl0WR+ox9oKpqQHJoWharC/CWoR9wzp7woUqpE4J1HNN5Z7vdTviyyJf7e24vb3FTB+FyteLq+pq2bdN5fFqg3by8kGUZi/mM6zfXPD0+8vbdG4qi5PHhCWc9WV4ipCTLc16eNyzGAQSs1lc42xNCZLmo8SGw3b4wREcIkbqeYTvL509fuLt/4sNXX/PmzXs2uxc2ux3LizXLqwuOxyPjOHA5n/FP//zP/PpXv2S2nPO8e0Frw8vLI+vLK4oyY7/fsVhfQD+QrFGP0gKUoWkb9MlgTEtKZVnSNA1FUWBMMpRjjHjrcS5wcXHBerXm+eWZp6en30s3eu9xziGloqoqDvs9eZ6flqHzPE/EjD4tNZVl6qdsmoYQAm/evOH5+ZmHhweaJnVdLhYLhmE4YVhfl6nPOuuss876YyieZsYCGMcRP9WXxMmUMkafzgdKp4CRdw4RIyJ4tEwdkAnpmVKBAFLqZChKCTJVrgkpETqZe0QmAzKZXlrlGBJqUBAT7dB7gnNkOuFKY+J54kLEE9CnmrKIEBElNFk+zd9DouYordFGYccB7x2FrhAqJRxNnmN9BBWRWoPUU/+0IkQ1PT+TZTH9XimVqKMRpJDTOS4FhOKrdzahZaUQKCkIMtWyhZCokCm5+YpkTcEtoVTCrmpDIGHreTU6pSL8DHz6akYKQGo9vR6c+hVfPYBITEjUiZIYIfkxXhCm5GMUAiVk+j7Da6/n9IdAeq5ERMowIWNTItI6i/dxWkTLE3aX5C+8TtyFFAg1UTDjzxKw6cH9Zz2Qk8E7Gbtn/dd1NiH/gJQxFHWVkKF2JAhLnAaDzjuE91MaEqx35Dptxi0XC4xWBO+RgBtH7NAzDEO6ObAWOSFMIhCDBwJagnMeSUpJxuAgSqRIxp/zDhcdEU+I4rTJEaKfIsjTGzUEoksHLSkleI93AR8iPsLBHCnLIxcXVxAE3oa0rVkvWC0XhDASYzLmhqEDBI4AowNSzDiEgNIGkxdE7xnHNOx75SmHGAnOp2i6iIw+bRRIo5FaE306aBCZimhfOdAkzrVU+BAIzp9OKq8mLSoiZclsNsNblwaC2lDkmqwqQULTHPn06SN4S9t2bHe7Uznu48uGv/2Hf2JWVdRVzldffcN+/4ILnu3+QDuMjNbRdR1RagKCvDTY7cjT5hGB5uuvv+HNu7fcvntLXddkdU1e1hwOOzZPz/SHA3F6jZUqES4hgYINKC0Jo4XRkxclUSlQgvms5sP7t/z6L35DXi1pugF0PhX3RpwdaI67P8l74ayzzjrrz03DMLDf7XBj6mF2o2Xsh9SdsKzQXU/TtuAjeZXTdf20YZ/wXkKkFOLQj2htMGbLYrFIKNDeJ3NxdIx9z9D3KJmjlEg9VFmVhqNNy7FoKNczuq5JyNH5HAHst0eKoiQESz9MyUKbDLiiqqnqGhscRVXy5vYN1ZQCcEQ6O0KfEOaL9YKKOSrXbF9e+Kff/RNXV1f84uuvybOEP7kurtjt9gzDQJmXLOdLti97+q4nKwsOx4bcZMxXVxS5Zn11hUew3TxRzZf0Xc/l9S1ZllBwh6ZD9ANFWbC6uqIbezaHPdW8Js/NtFEY6JuW3W7HaEcWqwUg2GwfUFqlwWlR4INn6C3jMZm9s+UCKSV9n16P+Sx1Qm0Pe9qmSR0TmUFoTZ6V02s9pt6u5ZIsy9lud9zd3bHb7VJvk3NolZNnhrZtGEeXUC4RlMxpx5GdbVgsZrx9856Hx0dWqwvKojx1dNV1zXq9Zr/f8fnzZ/I856uvvuL29pbHpy8opViv1xwPHXVd07b9n+YH/6yzzjrr/08UgqfMC2azORcXtxybnsuLJU3bslquGYaB7777jtlsRmFylNQM/YgSmsuLVVpMtYHlfEbbtnRdT5lXtG3L1199xTCOfPf994gASirGwXJzrafFmAIRI9vNhoeHL0Tn8EpgdEaRl/TdQN8NeC9YXeSMPiR0t9HM53OG/ZZh6NI1gYg8Pz8SY6Tvex4fU5dhCI7NZsP79++4uXqD0QkJemiOZFmGNobNfkc5r7nKNEFEnp6eOLYHilnGh28+IKbF36s31zzeP6Z6GW24qa/xMXVl2hCxx4RIrWYrFssFzkf6YUQJSdu09J2jrud8WFxg7cjz8xaTaWaLOTLP2R721ATKukZlmt1+y5v37/jy+EheaA7Nnry4IeLZ7V4SXSI3ODfg/IBzHugwWUZVz/A+odGMMSwWC8Zx5Hg8np6jlORIuDU3JkN4HByr1YqiqPj06RP7/Y6qqjnsmwmxpiCmvi4xIehejcyu65BScnt7S9/3p/7IMP27T58+Udc1v/jFL3h4eODz58+0bctf/uVf8vDwkK6vynKal5x11llnnfWv1StqM07z4t72KcUmYCrwS+QhIcjLEiEEfQiMXUf0HoVAyEgMIh3LjcQojZIZ0mfJUFOSICEoAVoRxc+6AOOUhCQilcb6RDcUCIRWiMn0tCEgYkDnBVH7VH8ycVCFlGhtUiUZcarsSHP7n4d3jDFEPHlucNNfR5JxKKVCCE0k0QQR05MQ5c+Mv5Tq1EKeKt+EEKipz9JojYvhhEmNMf1XKY2WEiUkISQvBCHQJiOekpAJC5tQsXoKa0FIRZYImbohXx1IIcTp3yjJ5AsknHr6OI8pM+KUaPQhTI8n4WyjSB+oooIJPxulQkRBjAIZSP8Gj1YSEcLULJnSrCJGVIwpRKoVmZ76qEcP3qU5xYSqTV+XKVf5U8ox8lMK8hSc+lmd3Fn/dZ1NyD8gMyFBlFSMvcQJgZ2SCN5ahHcokd50Wiq0Tti29XpNWRQQA95ajvsdu6FPJbPWEZ1DWkuMCfPqYyBMP9ZKqcmodDhrMToVyKupjFaEkIzQ1zehEEghiTIdSfz0Bgg+TvHhxDF21uNCxAhJc2y5D184Hhusc7y8bCnzil/+8le8e39LDD1PT/f8wz/8Lff3H6dIcUCqmD5v9IBJcXBjCEKcBqMASk7bDyGdFDxheiOK1HERBEJCDALvHMdjQydJ2x3OIdRPb9pXpvLP4855nqdEYV3jRpsMT53QcrNlTa0iwY88Pz9h+5YsLwgCiqokIPj0+Y6hi3x4/46qfItUOmF08oK8yMmGASklXd/T+wBCMYw9xijm85rMlNzcXHN9+4bFYk2W5yAVZTUjhMBuu+Hx4ye+fP5Ic2jxLpJnBVWREazFW4+3E5faBbRRZHnGrKpYLBYsFgukLmjHdDOnjUIpwW77zHZCDJx11llnnfWvU991PD08okzaTuzblrKesVotycqS0ToO3tN1HX0/nDYSsyyjmDDp6/U6FdBbz2az5eVlk1INQhBjQm/1fU8IHmcdUmj6tmNWzdFTh+Ew9Ogxx2SpVL7vewTpeuD5+SmhYVwqms/zHKU1akr9ZXmOKkqKskjnIiEIPi32NIdDGsQpRV7nFFXJ26/ekVU5MUYeX57I85yyKFnMZ1xkF3RdhxKKZtsyXy9S/2JnMUVJ03QsFwtmiznWDizXl8yWC/q2xZg9XdMRgcub6/T8Dj3HpuHx6YmsKslnBW3fo7Uik4rbm1t2hx30HVlueHl+wgVPNSvRpuDY7JD9AZ2VSFGdup3aY4PUakqSJrTObDZjuVyilOJwPNK0bUKrVwmVJqXA+zj1REFZlnz14WsOxwO77RYzXQP0fcdoPWU5QwgYx4GyTP2f+8Oe5+cNTd9ze3tD13eIokzbtc4SQ2C/3yGE4P379xwOB77//ntWqyXODRhtMCbnl7/8JXd3X/jrv/7bcxLyrLPOOuvfULYfWa+vuVxfcvvmPf/4j9/x9t17fvf97xjsiAsOHxxVXeOsJdOGq8srunFgsGnZ13vP0+MjSmuGyYhaLBZUdc1Mpq39sRt4eHhEqZ6np3TerquEcH98eGS/21PPDcE7VJZjTMZut8P7yCwv8SEN+tAKlRm2+x1qwprv9/vTQOsVxfraCRlCYL1en/CfQz9g8kQNeHh6THOBCRlbVhU3b96k1IG3HNoj/tFRlhU3lzdI5VhdrjAqp2261FuV53R9z3yx4O7Hj+nf3tzStQ1CaK4ub3DWApKxt2iTM6vnxBApyprD8cDD8zPFrKKezzm0R8bgKIqEe++bhoVestu+EGPg8+ePVFWNzgxd3yBHTR7TayBVqraJ0THaAYQGBMfjkbIs05LPZEK+GoSz2YyiKFJvk3fkEzpWa83Nzc2pu9EYQ1mWDMNA13UpGaEzrOvx3jOfzycM7IY8z1mv1xPZIqVT27bl22+/5e7ujsPhQF3XeO85HA589913pw6psizxPvDw8PSne1OcddZZZ/2ZKKX8knFGBDuOoBK60zmH1AoZFTG8mms/GZcyRpRWGK3wwRNCCtAorVBaI5RBSoNQgihB6NTF+ErdiRNO/RVwGkTAwYQFTQk8KQTKGAQB71xKBUZDGEDLn0hHKstARMZhoB8GignZ7vnJ2KqqkoIcZTS2H4hhWrjJigl/GnHBp95JKRFR/mQ0TmlPAYmYOFlyMqY/RyDI1+c0Ts9RIAZPFMm0S5hXgVQKpVPyMUh16uR8TY0KqSbcq0jRqviTZ/sagRTT9wWvj0/9Hg5WqfR5T3VzU2dlnDpABZCArwKChxCJUabnYfq6J0chTknKqQouTItFImrMVOnCZHIKImqqgYsxEP3rY49E+Z+ZixPK9dW0/fn381old9Z/qbMJ+QeklabMC2QE4T3Se4IQ+ADeeYQPCAVaJa4yMWCtpWkaxr7DWsvQtjSHPc3xgBtTH5GMgVzKdDA89U2mbQTvPUpIijzHCjFtRKTeSCFFYlKHkEpZfTL+fEhdEZCKc9MbKx1kvX99oyWO82p5QVYUWOf5h7//e+7u77HOcXObEn1X6wuca+m7I1oppBCE4BEEjEoHVRc9iLQRmLYBwAWPJzI6iwsQhAJlUCLRlzOZMbghHRRdOsAIxFRu65EinrqypJCMzqfjhfgJcfvavZkXBcW0yeJjwEcPCDKjmc8qaqPpDhua455ZXZEXJSiD84LBBbq2pSsahr5jt93w8jIy9A0hROazBcdjR9d2jPYBqQ15UTFfLtImbTUnCEleVozO044Oi6AbHUpp6kVKROa6xLmIs4FY19SZZl4VHPdbmmOD9REhfSqvVZrBWrph4NC0PG82BI48b/a0vWW1WlLPioSEs2cT8qyzzjrrjyEpwIfU22TtyMwsGYchdUFqRfQRQkKqZ0WG1pL9fgcI6nqGEIlIMJ/Nmc1zyrJiu9/jfep8cg6s6+n7AecCg7A0TYtAoHVG8IJDc0zblRqysiA3Ji3BdD3b7ZZxtGQmo6pKLlYX1LMZkcDoLff39xhtuLq6JoTAfpcGlXVZYa2dOqIFm+2Wmhn79khR5CwWS2bzGW3TJORb8OwOB6SQMHVgOe+AgcV6wcv2h4SXl5GmbxJ5hUjTD4Cnmi8ospyh7IHI6NJ1QVHPWFxecuUs3TjQ9C0heobR0nUDrizQJmORZwlNbyQvmxesc9jjAakkJs/JhcKYHO8sSmmy3IBMJmdV1wzjyG5/QGpNiAFjcoKQDFNHJKS0hLWph9FN112CRK9YrJYcDweeXp4wJiPLC8ZxSJuXEXwQoBQmK/ADjIPjhx9+wNmR5WJBXuS4mNA3y+WSEALDMIBIy0nOjWy3Ke15sb7Euci33/6C77//fqJNnHXWWWed9W+hsppTlTW73YEoHlgs5zw8fsEGy+h6/OCo6pLFYkZmCqRSzOdzDvdHHh4fYLrvVErR9z1DP3B5eUVdzwgxLSJfrNZkWjNalxCrU6e0dZbNywu7/Q6l9bTQ1BE8zOqWp6dnhtFS1wvGfsQUGX3TkYeS43bP5uGOWV0hpWC1XHFxcTFhQAs+f76jOTZcXl5QliUxRPb7A3VZ0vQd0afBXdd1dEOPya45PO5Zrde8eXeLUoL7zx8pypJhHHnZvBB8QKDYt3uGYWS1WFHNKr48fKHTHfPVnLbvmC0qnl5e6JoDVVmQZTlKm7Tw7APdMFJVJevZBfPVkqbv2B139H1PURQc2yPD0LOYJ4qBznPyXPPweMcwpITIsNtS13UaxtYlPnhECGRZDiItLmujkEohhODx8Zk8zyjLisNhn+YGafqKDwnFmi7pPMPo6AdQUlKUOeM4sN1u01JWWSJVGpqmLsrIOKbOzTQErjgcDjw/P1MUBVfXVwBorRmGgevr61MiczabnfCwm82GsiyZz+e0bfsnflecddZZZ/2ZSKR7vEQbTRUYWphUUxYCIbwahpGubfHWYe1I8B6tU+9hnmUM44CfFl4CAqkCSkzptwkDGgOkDrWE7YQpbRdFumf06XHIqUYFpnvQCFplyCggBKQS5EV5mm1rpVOlSPAM/UjXj5gsxyid5v5TpZnUiVIQkCDstFAUkYiJGJgSha+GrJq636RMnYZaqjT7sGP6vl7N1Ol78yEk9Gl4/X/JuLXOQghopdIicWZSVRwpBYlMaU6UBCFPRmQyXAUuhFfHNj138rXajp/YrDKlQMOUNBRKYr3jNaoVxITDFYLMZOAcYZTEYE+oVudFIjskC3T6etM3GFJ6MoQwVeWFFCYjQIj4QEp36pSatT7V5YSYcK2pq/In4xQhTujaMKVReU3gTsnSs/7rOpuQf0DeWaLzSB9RPiJRIAwIy+iBkJjQzqaL1N45xr7j6cs9zlpGO+DtiB8H/DhilKKuSqqiTFsDwqCFAjeeDhYyrU2gyTBqctFjYGgbnPOMzp5Kdr1UHMYGN46nUtnXKHOIQ3LydYaUHkmPkoL1wnD79pZusPzu+3/k4fEzPkA9m9E3R16eH9luH/n46XfsNi8QHASLjB4lQWtQgSlhkJ8wqm7qSXI+TNFliVAhpSZDREWJchI/TlsmIvGzo/fE4Kctj3Qz55x/bXqdmM6vkefUIWldQrDq6YawH3uUi8h1zXIxI5eC4/YJ5yNFNePDh6/xPnB3/4AeRwYsRjqCb/ly32DtSD2r0MaglEErzdDtaJ+fkcawWq756vYdb999RTs6vmy2eBSfH1+gmLO8uKAf0us7oCmMQdcrrr/6JTIr8UPDosqYlRn3n36k9fe4waZ3oFKMMeKRUNSMUnP3/EJvA8emx7tIkBEhl1NCNvyLP69nnXXWWWf979foUz/U+5tLfPQ8bZ7QTU5nh3RctyND33FxdQNC8fT0jNaG2WyOc2mBJstkGsa5OUWVM27GhC2tKpx1aFPTDRbnJVJrVKapy4ogBMWsRB8k3dhwoS4phKHMEgJeeEGoA6O2aK1w1tPsOwiKEC3b3RN1VRBCYPvyxGy+wEjFMIx83mwZhzH1IQZYrtaU84o8z2jahqbpqcoKJdLnPY4NVVlyOBwYh5H372+x7QAINps9v/r2A33X8/nzHWPf0vUBKSRFWTDaER9A6QKTK5x3CZkiIiGAURk3N2/Y7DZUfsXL5gXnRkSWM/QdvhvJy5y8zFkVN5hyxv6wZbvf4/qBwkMIkqgDRhuapseOFYvFiugsbdMQJhpEtA6T5cxmNXocGYcBESPjONJ2LSbT6Fwz2AEXJtTKtKVayYpqVnJ/f8++cSxXS5wdMUWOUJLKzCmqnufnJ7wdWNUl1vY8Pz2gtGa1Tlg/k+f4GCnrOVJn7A57pBCsLi9RUvDlyxeapmW9vmCxnLHZvQBp4cyOadksxvh633rWWWeddda/QvPFLW/ff2C73dF0DReXlwxh4PBlgw8jb9+9w0fPy/4JrWu6MCJyxWa7p+97Lq+vCFHw+PjIfD5ntb4ky0ukznHK0I4O2fXkWtGNA7OyZLFc0nUdPlgenp+IEpASI3MWi5z5YgVSEEhdhFWVkxtJXRZUecbx2FAKibm8IU49hWH0NPsGBDw9PJDnGTI3dE2DFFDmJf0w8Pl5C0LQ9y2jHVhfrLnJL6cFnZrRdvhYMQ5p2bfZp47r54dn+n7k22++obMd86riy90dX334iq8+vOPT588MzlPkOZ8f74kyojKTTD4fUdrQW4cXkSzXdH6AqLh9ewPPTxR1wW6/o+0a1vWCvu84bg+UZYnWhrzIuLq+YbPbsN3u0oK2UhRFQdv0p8RiWQaWyxXHpk99mSKk/usYsdZTljWLpeLx8YGizPHBs3vZU5Qli+WKcerQjDEyuoAUgrzMuMwuuLv7zHa/4eLygujTYpEA5ouctu3op+uqsiwpysDD45cpJToHwChN07Zkec5itWa322HblqKqeVfPuL+/53B3z2w+/xO+I84666yz/nw0uAGcRUWJUQqlU5gn9QdGJBKFREZBHB1+HFP3oEzzZWUkwgjGwWOdn1KLCnykygJBOkAlwypGggvp/jGCiD6lDydMp/M20UiVIcsKQhTY0aKkZOg7hnakNAqjNDF4LMmEVAKsT0hYbUqKMhKFYoweLyJKS7JCE5RkHB1VPUPpFGDJy+qUNPTep8Sj0vg0RJ9YiyCVAALeOyIB58dEq526DlNyMiAjOOdwNv3quw7rHM45iqqinFW4OJmFvM7qZTLgZDL6hEz1aUImE1IGkcxggMlQFSnKiBKS0Y1oo1FRTudoj9YKgUSEZFh6G4hCUJY1znuMKsAoYpBE4QjRIzM14WsFUqeeSBECRE+Iqd8xRMfoRkKIuOhQXiXcrDFIbZACQkxGpfeOFJtKKdMwmdlKS7xgqnqDYUpwaiFQpAUnMZEbzvovdTYh/4AO+x33d58xiKm4NkJIWxFapiWB9AOaym1d8HR9z/6wp22PWDuitaLMDLOqYlbkZFqdOh6Tox5RY9qajDFitMQ7h40w1bnivcO6gHPpa5EZ9LR14LxndD6V7qr0+QQxGajRoVV6rNEPtF3Hw/2PdEOL8xFre2ZVnnCjfcvf/c1/4q//k6Vtd8Q44v1IKlzwiBiRJHc/RZ/DlNIMDOMIQrBcLsnLkq4f6PqBYSp1FQjs6NIFPQIh5JTgDKjpDfpTWiH9+jn/+ueFr2HC4Q7DgFOK0do08Aye/XbDp48/UuU5drSYvKCu5zifEGkhBC4vLgHBcb/n4cvdCalTFCXzRdpODNOmh1KSGBxVkVPmGWPfMY6pW8Qi6YeBh8cn9m2H1BkXqxWx6WnoWc0WXNy+JS9ybHukyAQaz4XzZPWM6vmZp+dn2r4nBJgvl3z9i1/y5v1XRKk5NAOjDzgbCDFwbI40zXlz8qyzzjrrj6XRjWR5hvWOdhhYXVykLqFhYOY9ZVGxZc/T4xOj9ShtuLpaU1UVwzhSFAmBmpclgx0ZrOXm9pbdboeUAq0l1qZFnbIqkVJijKKsK6pZlVAjWqClxjmLU4ZxGEAInLVIJFdXl6mDMgq89+z3Bz5//pGq1lib+oUGN3A4HCiLinF09P2Q+qlXFwkdW+aUsxLvPcdjA0T2+yNFnrNeXxCCo2tT/7NSiruPXxDBUxYlWaZxwdH2LTe3V7RNS/CR/XYPUrBarbCjxXYjeVEivcM6ByLig+fQtAQh6MeeECNlWRHJcXbAZBlNc2S7OyCPDWVVsVjMqWYz5suGp6cn9ocdh0NDaVLKMM8L7NiyebFkRYWSkkhAqxypNc57DvsDZZmzWiwJRA6HA4e2wWSGCOjckOVZumELnkAAmZ7fi+tLDocD2/0OrTVuuk4ZrEUoxcXVNXZoObzco2Xk9uaG0Vo2Lxt8SF1XJssmHCysLy6RArYvXzgedlxfX1NVLcdjw//w7/+Kru/48uURIeJpk/MV8XbWWWeddda/TlJrRufIq4LLqwuquuLT/Y8cjns+fPWe55dnLq8uUdqASOl7RDo3WGt5fnxi9IHlasV6tUpLN0olIywGdJaO197DcrUkVwrrRqqq4J//+bf4MDKbzxmHgdliQVWlNNzz0zMhBtbrVTrne0vfpwoPZ0ck8Itvvkn3u9bRdQ0//PADWmuEjHjvkFIy2pG2bamrmuOux1lHVVdcXFygdVoWqhc1D48PbLYb5ssZu92W+WzG7fUtu+2Ww+FAjAnX9v0PP6ClIYTAze01d3d3zGYzLi7WODzH5sjQ98yrGqMUY98jSXi2sqoYxxEXE3q0HwfuvjzQ9wlhm536tEEiOB4P7DZbxrJkvqiZzRdkZY7Jcu7v73l5fkEpzWq1nvqcs4nCJCjKOg0IpUbK1FcVSclPpRXX19fs93vunx+n3i1JPfNT+kWjtWIYhmlZK+HXrq+ueXp65OnxgaqsWM5r+t4xDCPGGFarNcfjgf1+z3q94s2bN+x2Ox4fH8nznKIoqOua/T4lMS8vL9Faczgc8N6zXC5p2/achDzrrLPO+iPJeYeRAgIIKcmzjMwYhJRpbm3M6c9WSIKUiJCSdlonrOiryRYiaKnITJaSioKUtpcyUf6m3sjgPcnSC0jxCmNNCT7vLYPzBKEoy5qsKBmaligUUulk2EWRfAQigYT9JKaZuVCa+XJBCC4ZhUaQ5YaiyPCDJZLm/90wYp3DFDEZbdPniSFiMk1uDKONJxMy0RcD0XuCd4RgEUriY5z6NCWBdC8shUQSsX2PG0es9yitiXJK/2mN9T/VwkmYFqtSYlRrNYWLJiQsTM+NnxKR06+YztvitTMykgxeEp5VKYVzlomHyOg8wziieO3lFAipUFIQhSRMNW5y6paUU8pSK5USnd4yDH2aU5DSnwKD1hIlRUpFxsgw2OS7xDB9HyLhdcWUr3x9+FNfZaIrTZ4FIT2unwFoz/p9nU3IP6DdfsunH3+gyjIKY8AHjFIQ0wEnCk/0k+HnPcE5hu7Icb9l6FuQYFRBZgrmdcV8Vv1kFE48YwCUOrGpjTHEEFEqIGRGjAHvAt69ltQKMpNjJnyZMRnOuoRdEWGKYofpTSKJ3mG9xw4DbXvk7/7uCakzkJJjN0AYkcrQN3t+3L1w2G9xvqOqc/JMUhQGYpji0lMJrxB454lRnYpYtUn9mfPViqztEKohdi3WObwPp96KV0Px9HE6/RieDky89kD+vhEZQvqe1HQQGcfxxNAWgPeB7W6PGwZWi5plXVPVNS8vLwzDwHa7pywq3r9PhuNht+P+/v407DOZAZG6uNSE4imKghAjs1nNYb/lcDzipWF9/YZ5NUOYgt46nPVczCtWqzXWOoSA+WpJNd2MtPtnxu7I5umBvJ6zLivGAHdPG47diJCSr9Zrvv76G27fvKMbHVneTv2Se5rDnqN3BGtPWztnnXXWWWf967Q77FnrNd3QM4wjLkTKqmCxTN28o0tLL91omc+XzOZLVqsVXdcxDD11SMMmbQz1fHZCjd3eXPN49xkmhImQkYuL1bTk4um6lnpWsFpf8Pj0wOPjE0VRs9sfMDrj4uKCoijRJlCUJTHCMG3gRxGpZjVv311RVSVt27Hb7RBScmiOxCAoyoL5fIEQChc8CNjv94QQ+PDhhra1jIPl8fGJ+XzOxXqFEmnjUEmJ60fs0NG2LXmeM5stCDEtHFV1TQygtUnnT5c6M9su9UUalSGVIopIP3TUsxlSydQrNfTpmsVZpEzbhbP5kqKsGW16DT5+/EhRVVxcrvmLv7ji6fmJjx+/5+Xpju32hYuLS65vb9N1S98inMWHSGZzsqJMvYtZTvSv1xuB1WLJbD5PS2K7HS4EsiJjvliglMI7j0IhpuuRN29uEULy8vLC09PTyRjMp34OJQqGLKM57jFZRlnWhJhIDce25Xg4kOc5Qkh22x1GK6qqZLmYsd1u003W1CP2/v07Ni+bdEMUX7H8ZwPyrLPOOuuPodm8RmpJmZdYa/mP/+k/8vHTR65urnl+2XJ5eUkMkjwrmS0uuby+xjnPy8sLAEVRcHN5xcXlJc/Pz+R56oN+eXmhvrxMCyzWUZUFZrng7uOPGKV4bhu2m0e+/fbX3N3fk+cZbdeyWq+Yzef87vvv6fqeahyx2w3GGObzOVU1Y7lakU3LLM45xnFkGAekVnz9i28wRrHZvDCMA0qn9N3zywvfvPuWqqo5Hg8gYL5YcDju6Z46rq+vMZmhGzq6tmHsBr56/zWr1YqmaeiO/Yk85MfUlySlZBgGhBAUZcnoR9bZBbYcCNbRHo4pLXpxwTiOKKkweYYInizPybSh71/P+w4pFZnJsW4kMznrlcEHT9M0fL67p5pnXF5f8s0331BVFb/73fc8fHmk61Iv4/X1NVpr+r7HOY/UWfol03K3NoYsM3Sn3s7U773dbmmalhifUEqlXkadMHeZMTiXrstWyxU319d8/PgxUQsOu5P5+TqHCFOvWNd35HnG9fU1h8MBa+2pAzzPU+/2drulqiq01ux2aRl6sVgA0LdnFPtZZ5111r9W3qfaEqU0UiqMSQaY1AofEx7VOU+IKcTyigUVUxhoHMa0mKI0Ugi0VqcZvVQJ+Y1SENPc2U9z7ET7nlKGMKE4BdJoTBRIRapMCwmNjohILUFO+E4pkDKFccSEI01kQ43Rkn7oiTi0kmhtgFSRBvF0vnHeI03GLCtQUk4BqdRtqKRMDztGiB7nEn0wBp9IhxOONU7pSBklQUjGYUgLQyFO9+uC5XyJMRk2eISUmCxDKo2z8af+Q6GIJHP1tfeRnwWJxPRnSP2SyaMLRMHkd0wI2MkPiDEyWou1DqUNRmfEmKrnohCJkjQtTyupQaeKtvT9RpQQqe9SJGtUhMDYdbTNIYXAlJqWvJOp7KxFeJFeQ0ApAT6ZpIS0rPw6+0gG95S0jYJcm8nIhegcLjrG7nyO/5d0NiH/gMa+Zb9/weqMVknc0DOrKgqTI0VEklCZSoa0gSACuRIsqhzqgjw3CClSkq7IkCISnJ0GTBL5OsSzNm1fhMAwROxoE1ZV/GTaCSEBiTGGxWJJWRV0fYlAsYnPdG1DDJEQIiIGtFZoqRDR46wjM5LVvIZg6fqGgCBXCl1rIhLv078tc5PwMEaiRfpcMUym4eT+x5BMxXFKZmqtEUKkA/vhgA8RrVLXkveeYdo2CNPH/fQ9Cay1p//3+gt+hmCdDlw/NyS99wzDcDpBCBknc9LSDwNSzLlYX7BazInOEgKoqTS36zqs82kwKwVZnmO949Pnz/z48SNd16G1PhXUhxA4HvYMfU81W1LP14josUOPQnJ1ccPi4orlao0UmuOhQRtD24/048jY97gA+6bj48MTZZ5htGLTDgxRkM+WlEWOlKkrZPPyQjda2m5I5uNuw2azwY4js7JiXpf/fX74zzrrrLP+zHXoWpYXl5gsZ3lxRVZWVHVN23b88MMPCGUQUnFxsWA+X1KUacv/cDhgsozZLPUZDeNIlmm6LrLf71FKoLVgu9nz8vJMjI6iyOi6I1VVJIyHT2hyKaHrWl5ensmy4rSdny6ODU3ToLVmv9/x8rJlNpvx7bffEnFpO08I6no+Db1Aq/QxzlmMSQOz3W5HURUMw8Dnzz23t9e0TUuWpVTC/f0XvHPUdZ2GoNc5zw+PqKnjSEhJNZvRHI/sD4eUtCjr9L17z/rigjwriSHQ9T1KSharJTflLbv9jkgk0xnKaISAYRAsZrOUQrAjgUAVa3wImLzk+eWJ55cX5os5s9mMr776hlmtaZsjT8+PbPdbLq+vMSbHNoGqqjDSEMeWrnUM2pBVC0xeIqfnKDcZxhiKomC737Hd7TjsG1YXa9brNSJ4uqZNGBUSnuZqvSJTkqenp9TxNHV9V2XBcrVCSkHbddj9EakUsyyjLks6IciyLF3jjAP90OJtpAmOup5xeztPCQ+pmdVzxsHyt3/3dwgxLZudPcizzjrrrD+KZvMCCNw/3PH8/MyXL1+o5jOMzrm8uiHGyPX1Df0wcOw6+rvPCTtWFFxeX2GyjDwvJ+PLcXU1Z76YM/oAMi3G9m3H4/FApgV9c8TKyMcff+TbX37L2B+oS81sPsPaQJ7nbDYbnp+fUUpjbSIX5Xn+03ljujfe7/ccj0e899zeXrNcLk/30EprSiWZzWYopbCj4/7HO/IiJy8LhqFju09D1O12Q14UVFXF09PT6evc3d0x9j2Xl5f86je/5rA/8PDlS7pv1jo9N7c3PHx5YBhHvAwURY5SCi0lVV2TZ/nUI+1ZLBaUs5q2a2m7DiE1Jkt9muM4gIhorVNacqqiiTEilQEpuHv4kUPTTNSDnNubN+RZwf39PZ8+fWIYBi4vL9NyWNdxeX2DkmDHjn5IS1MxeGazGeNoCSFQZiV6rWnzlofnB5wbmc/nU0pRpf7s4CnL9HMyjj3zeY1Sb3h5emKzeWEc08eUZZEWlENgGHs2mxcuLy/J85xxHJnNZuR5zn6/p2kalFIcDgfquubdu3e0bcunT5/+pO+Hs84666w/J6UFWoOInAI7WgWiF9iQQkJxGPA+oKUgywxSGAiO4B12SOciKSVZnqFMRohp3ix16ikUpPOuJ+CYwj4TyjS8JiGFIEqBlmbqI5Y4Z0+Vaz5OlCABEBBaIVTCvCYbUjHF7Rj8iI0BTyIQ9nag7wNhGPAhIKWakO8BLwQ6y9MirZAgVQrFyBEhMxDJH3BTaAqSHyEFyCDx3uLsiNISqbNUJTelFPM8R2tNPV/gQqQ/HumbDqENeSEwpkj9l9oQlUreyBSsep3li5jm9TFGRJgCR6+dmhPWFSLBO2IIycwTCXNqx5RajFmJUgYpxJSKnDKXIhEWU/IyIqJMRm1IPo0I6Z5axogPDtt3MCaygRSghCB6j40DIfhUzaY1dVURAOt8wsOSXutMp2sVYDJPIYiIENP38boAHSLBjv+d3gH/x9PZhPwDUiKiFYQwYB24YWBUAiMT3mUioibGskh8VqOgLjOkVuRZlsxApVOxbUgRZCFIXUVTjDlOB6i0AZ++dozpYOGcIwaBD5oYBcZkLJdLFssF/dAjJHRdQ9c1p4izIEWCpUjxaiUFWZETggJfYbTA+oAX6c3lQ8QoRfACYwTegyRtUKRDxE+FviGCj9O6Pq9ltxLnPdZ19NaCkEipEuYspgPfzzzE3zMYXzctxRSffjUn/yUk2atR+bp1IWXicyPTwUEZzcXlFd/84lsuVwvawwElFd28p2kaXjZbjMnI8oy3795R1xV2tDw/P7Pb7QDSIHY2T0mYceDp+QnreoxZkhcKazvaY4suLBcXNyyqmiLLORzbhMETks3hQD90RO+QMXDoRqzQaKGwLtB7KOoFWZ5TaIVWGZ8/febLl0ekUvgQ2R+ObF9eaI5HCBGrJL0+R7vPOuuss/4Yuri6Yr5akhUF8+US6xPmox8symSslrN0M0JCrlg7st1u2e13qdPnU6QoCkyW8bJ9Icsyyqqk7zqcHWjbA5vNE8vVCqZOh91+Q1mWbDYv07m7QynJxeUFN9dvyLKMzWbHZruZhpI5L9MQbDavKYqCw/GIMYLDcSTLMuq6JgJGG4qipCgL2rZjGAayPKMsC3wItG1LURSMo+P29prm2LHf79NNRlUBMI4WbSSz+Ywsz/nxhx/4+OkTs7rm5vaWtmnZvexo+45xHBn7gSLPqYoaO47UsxkI6PqedujI8hxiwHlHWZYTSg0Ox2Z67PNT90LAE4A8z2n7luPxyOPjM86P1LXm9u0tRVnw6fMdX+7vKIoSISRDe2Bsj1RlRV3PWCznNC5y3G2JMKU3FaOzFGXJ+zdvWa9W3H/5wubpmeNuz2oxP6Vcd7sdeZ4DkGVZMimFoGkaHh4e2GxeOO4j81nNxUVF0zQc24btdguA0oq+a8mKnPV6hXMjzWHLfr+j6wb2u8O0rWuQUvHr3/yaH3/8yH5/4ExvOeuss8764+n+4Y7tbofWGdZZrm5vuLi4pqwqLi9vU91FmwaU5UxjsrSw4nzEmAwpJd9//33CbVclzy8vtF3q+esGS12XzMqS/faF/eFIc9jx/PSFN7e3SBHo+3SeH+1ICAKTZdzf3RFC4Ouv33N1dUVVzbi7u+PLwwOL+RKlkzl5PKTOxMVigfMupe2bI2VZnP4uxEhuDHlW8OHrr2iODXlRsFzf0nYtu92Oiwk1XxYVV5dXdF2Hc47ZbIYvCqRSNE2DlJL1xQX//E+/pW1bIpdcrC5Zr9ccjgeGceBxv2ccRy5Xa1RmUEqR5Tlt29J0LUIrjDbkmQcExhiGYUTKtGDlXEBryWy2ACJtm+YXy9UaVODQHHh4eEIImM1m3NzcIqXk/v6e5+dn+r4nyzKyLOPx4Z7Ves1qtSbLC4bRst1taLqO2WyODxHnAlU1I8tyijLj8+eP7LZbiJHlckk5JSW11qfhZ0y9MLx9+5btdsuXL/fc3d1RVSXr9Yo8z1FaMgw9x+PxtBQ9jmnomAzLks1mk56XpjmlM8syERs2zy9/svfEWWedddafjcKUxpvINt57pNKTWSSIIc2unffMqhl5ZiB4ghe4GBnDQH9sUJMB9XOHJJIQo0yfI061YkLJKesXQEwITibKDWn2TUzLwkpLxn7AOpsqzWLyDbQ2MCUtBYIQwMdpTi4TnUeKgI+O6KZfdmQYLIiUijQmw2iTwkzep8+b5SidSE7KpO7KEBKGNSUkE1JVxIgPlolPFFkAAQAASURBVHEYcHbEBI0RCi2TRai0QskSISVaaSKeoiyQzkMUSGnQOgOpAJkMufSkTZ5Eeg5FFJPp+FrpJqYuyUQrIgSkFBMm1kJItmQQAjkZl9EOOKEISBACrfMTHTExVSVCxuR9+JAexOvXn34fvCN6T2EMZVURBLjXnsopOanVq28jUEpOnkUC2iptJsMYgph8jOlaIQZP9B4Rp1RsjCmFedZ/VWcT8g/IGEmRa8JgkSKijErmnEgGn3hlAysSa9hOBqXRSJ06BY1SyMmA9MGfeM8+ZcPTx5/Sf5KiKCAmk9I2w8mEdD5OfQ2Kuq5ZLpcUNufY7NHTlkaMU9xYxDT0sw7vBoyEECNde4ToMCr1WXgiSkRCVHihcE7inMSSuMdaqYnAKpK7HyejMKTHofWUShxtSjiSGMwx+IRgJaauSqMZ2xEhRLrInzYkQgiUZXlCsf4cyfpaXvtqTr7+/rRVIX6OJRUorcmMYlFXvHv/gb/4q7/garXmy+fPqXszRF5ettjRsVwuuLhYU9Up6fjy9Mx8PqdpmtTlJSRv37zh9vaWtm1ZLhdYP1IUJYFAe9zT9pGZyojOIYmMfc9hv6c5NvTWsv/S0nUNZVlQlyURyfLqliIzuHHAR8XFxTXz2QyCZ3P3iU+fPuFDYLlIGB43jti+JTfpZ0lKcM7+9/rxP+uss876s1ZeVugsQ2iFMgZpMoIQrOoFJssQSuN8l84vWUZZlrTTcd0YzfNzwpku1yuen59omgaEoKpy/NDQNkeatqGqK3788QdeXl6wdmA+nzOOI+v1iqurK4YhFdkfjgeEkPR9zzimZP8r4rWuZ6mDMjNkWUaMnnlRorViNquQUrDbNYzT5p3JDFIldEwaWlasVivGMZ2LxzGhwxeLBc5anLWnjcfm0DEOHbOqZrFcst3u+fjpE/v9ntVqTV4VKGsSmlRr2uMR5wLjMDJfLMjzjKZ1aRGp74kE+j71NCW0G2R5Pg1mLfPFHCETqk6btGWYDLwLur5jt9/w5ct3PD0PrJZrfvMXv0nn28OR5nikbyJD2zLWFX1zoDnsufrql1AarPUc91t8DGRFQXAOZQymKPjw/j1t005Dzwd2ux1XV1cURUHTNBhjAFI3pHNkmeHNmzeMQ0/TbHl8Smi3uq6pyopIuumDiDGabhzY73fkeYaUCq3NNDh9wvuEy5nPl7x7957VasVut0cqlW4kzzcvZ5111ln/ajVdw2q9ZLFY8+XhkSzL0VnGanVBRFAUNZnJiQKyMqNpjyilWSyXzBfzaeFXMq9rrHccjgequuL56ZHt7sDQ96yWM6IfaI877u8+Mq9LnB34p7//e7aHA4vlktEHFovLZEJlGeuLC8qqpGlbtruE8/TB8+XhAaUUs9mM9cUFQgjmiwX7w5Ysz1jqFXluJhx7mwauUqaFIp2zWC4S+lNEFos51o7EGKmriv1ulzBr01CybVuur6+x1vL09ERRFBNdoebx8ZG+75FTOiNOpp1Sit1uR9M207APbm9ukDql/o7HI1onuk9ZzRFCcDwemc/niYhkPavVFcMwYK1NJmaW4QfP+uKKi6srttst33//Oz5/vqOqKq6vr07ditvtlrZrqeuKosx5fn6kbRtub9+Q5emaiBh4fnokLyqMKdgMG+q6Is8yvvrqq8lY/EJzPPLu3TuK1+uRGE81MXVVcjgc0Vrx/v17drsdT0+PfPz4cUKqRubz9P11XZfmN8B2u03XRkrhnKOqKtq25e7ujhgjVVVRTUtfZ5111lln/es09CNVXpBnBUqlObOQKtF3okJGgY4RJe00Ew64ccTZEe+TCWedI0awxhKnNCETSScCMaaIj5ACJQQomWJwURDFq+k1oVmlQqk00/bOTaRCR/B2urVTCCXJtEJogzKJnGhtIPiQ6tZUiXQKZ8GNAaJMWFitYUg9xnmWM18uyasKpKIbLc7/RBR8DfOk4OVrUCl5s8poiIEYAMJPNXExIcrlZMhJLRmcwzuHVIrVao2LETfN8EPQBCFS6MhHPDElBGF6flISMhJTglHwU4IxJr+CKbno7Zgq7k5pyfQrjCNeOoKLCJ2hshw9EQ5PxMRXG1ilL/7TS5JeF+cdbhwJzpNnmjLPExXRh4TBVTo9v6Q+8HEckMZMwSqJVDJh2W3yYyBMC9QJtaukOC0wiZBex+jPM/t/SWcT8g9oVtXkeYZQCpxHE1FCIqJHxIiUCiEFWmiE9xgtKfMMF2PiQsPJqFRCpjfftEWR6zwVqE7c5izLUqfirCKGQHNs6PoWIcZ0wEMSYjqgNU1DlhusH6cNQpf41zGV6vrg0t5GTJHr5CR6IOHftJK4mDYFcq0QOifKIvU5KElEk3IfkeBCinr7FC0mKoIUU3nsz1OJ6eAspUzMaUBMcWXv04ZDCK+c6njqV1qtVpRlyX6/5/n5efr3HiF++rfAKfnonEu9Dz/rkhQSsizn6nLFm+srfv2b3/CLb3+JEYKXp2fa5kgMEaEUplBU8xm//M2vMUbz8vJCjJH5Ys7mZZNi1sDt7S3ffv0N+/0eYzT92OB8YHQRN/QQFDIGvB14vL/HBti1TdpAIUz9Ew2LxYwiL6jqeUL5asPYd5T5jKowXF9dcdzv6DYvfPzxRw6HPXYYmc9n6QcoeLRWFLlJXZjD+YB21llnnfXHkM5zolTMl2uKKU0olaGfyt6jS8syF8sVy+WS7373HVJK3r9/x3K14tgcqaoqJdrLdA7t+h7nBo624+HhfkK2SrbbF8oynxBgKeUwjo626cnzgu12x9VVSjWONmHG67KmLMvUXzShz1erOcbkxOhpmhYhJIdDN3Uma4zRp06k43Egz3MuLhbsdke6bmA2mxFCYLPZMJ/NUwJx6mdOmLTUBfH8/MgwjmijuX5zm/BuXc8PH3/k7Zu3FFXJMEjmqyXtrKZtemRm2B73jE8D9bxmHAdijGglQcopKZjoB9YOQEoauuAZ+4TDEVKSqYxhHE59V5eXl9y+WdB2DR9/+Mj3v/uRuq5YLBYIoD02NIcdQ3ckMwaUZtv13Ny+w5gMLdLmpx8HWnckAmWdsGlaCm6uLpnVJT/88D3f/27Pzc0NRmucnR6/NmglkEIjiNgR6tmM+WLBdrvlsNtO10AJOZ+Gww3GaC6WCx4eHlIqNcsY+pGbmxvm8wXDMPL4+Mjx2PB/+7//P/h//T//34leoRTenTEuZ5111ln/Wq0vL1gsFry87BBSUNY1t7dvKMoKpQ0IzTg6lILBWqz3vH3/Hq0zfvjxB6RSfP3N18kI3O+p58tU25HnzOdzvLMMXcPmecP3v/uOm6sLisLw8PBAWZZ8/c3XjNYxNxlKl6c0Xzn1PSslCcGme1ulKXLBfD4/dQsuFgvKsiQvMtq2Sf3KXZfO1VmWaAzGnPoIy7Lkq198xZcvDzw/P01fJ/LysqEsqxS18GlQenl5mcgO9Yx9c0y9z2XFfLnAh8DQ93z3/e94/+EDq8sLjscDFxcXZFlG13XEGDnuD/zTb3/LrK7TIvHPlogPhwPaaLIi49AcIEbqWc3+cECIyGjHNCdRCW1nbaqmWS5W/M//8/+Fh4cvfP/97/jHf/wnVqtler69p2mObLcb9FFSVRW77RbnLO/efTWlO9KSVZqn7LHOQ7RkhcF7x2q1BCKfP9/x3Xe/5ebmhqIoJlPXTclGQ57n9H2gadLz/vbtW3a7Lc/Pz8zns0Q8ipGyLGmahrqumc1mv/caCyFYLBZ8+PCBtm15enrieDz+Sd8TZ5111ll/LqrKesJwBqqqJkypR6E1RiWSYIyRLMtxQ0cgMgFCGfqerm0xeT4hOgXeeYROISFrbfIBpACpkTKl+lz0ySQTU8pv8iCFgOADCbA6VbcFh/Ae9YrxjDEZWDHVl5k8J0QB0aZQIRFkwrNqMpSI2CEZpyKmmbdUiryqyYuCIASD9al3WemJxJhMtdfuQ1SGl4LgXTL+Jh/A2ZQ8lEIQg0cJTa516tD0HqEEzlr6wZFXFcUsVbB5axFCTz2Wako1JvrBa4DoNRilpEgYVSEhhGTixogLkWgnf8K5ZNp5C96dDF0lJIbIaB3WD2iSYZg8jfT6hxBwgJKS6FO3pHxNf1qL9AHbD4yjxYVAoQ1SG7AQYiDTBjl1RIcY0SJ1TVrrQEqUNill65kCUwHrXMLrAlIKnEsVdsQwhcIC8tyt8i/qbEL+AUklKYxBSk2UDhkCeJ8ixGHy3EMkCMBPRa8ItBREmQLHdipi9wQkAqM1mcmoZ0tcjAzDQO9SUW4IgeAtzjq6tqXvEy6FKLAuIISk7Y787d/+DYPtQXicswx9R4x++mH3SCXSAS96iOkrK5lQpc5ZkoEfUEozXyxZrC6x5IzeczjuGEeLVBKlFT6Ci0xYVab4d+Jfv5qJqYx28sxOOFVJPB1sw2Qo/pepRj0lTF67qV4Plt7bE5719d//HN36+neQWOBZlnF5ec3l1RXWeV5etpSZ4fPnz/zw/Q90XUeIgizL2e3fIpWkLHJ2ux373Q4lJM4mLO5ivqDMC7bbLXefP/Pw9EAQHqEk1kWGPmDyOQo4bLdstns6G9B5zsXNNYvVAlUYDsc2YXTmCyQwjA43OETwU8GwpGs72sORvh/QSpGZlJTsG9BG4oYGN4JzA0pptMn++/zwn3XWWWf9mcsUBW/fv+fdu/cg0hl0tB7fDygpWC7XmDZhQaOIU+9inPqUUkLutes4z3OWyyVt13E87rHdnsvLS6qqSoO/aUlnNpsTQyCEV9SbZredknp5RlkVU/JBUBYlQiiOx4a8SJ2P918eqaoq4UKUZL5IPZV974ikNOVsVhNiQBuF0oJj05LnGfP5DOc8XdcjpeJ4PFIUBdZaurZN3YraEJRntlykUvh+wIeIMoZFXpCXJV3fo1Va2GnalF4s6nQDOF8ucdZi7UjbNakXSUqyzFDkOVmeo7UiK0gpCKOSKetGhiHhyqKIICImM3jv6fqedVnz9s0Fi/kFD/d37LZbDvs9w+CYzReEouTl5Zljc8RkGZtDw/PzE+/ff+Dy6hrrPG3fUVQVUmnGoWe/fUFpQ13PEFLw4d17jscjT4+PKKVOKQcX4mSQphup9PqblIipKqqiYLt94XjYYzJN0xzRStKMPd45qioZycB03WNO/SMfPnxF0ySU+//w7/4df/03f4OSEv8ne1ecddZZZ/35KCsKur4nxMjN7Ru++cUvWS7XHJoOJTUvmz0hRi5Xa7qhJeAZ7cjh2BBi5PbmhqquGcaRYloIklJydXXFYbvBjnDc9zg38v7tG+azGusG1hcXKJOxWK543mxYra+wNkz415ar6yuWq2W655aauq4py4rNZgdE1hcXaTHVWRaLJV135Ob2ljzLeNk4nLMcmyNaGxaLOUJKyio9vv1hz/piTQievutP/Yhd06KVZrfbU1UlzluKsuBwPHB5dcl+t2d/3FOXM2bzGVoryrI+4ciJgb7rEyVgugdfrVfsd3sO2x1N0+BtWhauq5qiyBBqwpcFj1KCssw5NgfGccR7x5R1QEpJXc54enpkHEfevn3L1199TZ7nPD0lDPrd3R15nrFar/DB0Xct22ELQmCdI/jAuw9fgYv03QAxLQxZ59ntttjngdl8RgyeLDNcXV2w3+14fPjCfD7HZBlKaYahZxyGNHyUiVLV9326xpmM0P1hhxCJLNX3PVJKnp+fT9eCeZ4TQqAoitPHZ1nG27dv03XGw+Of6i1x1llnnfVno8VshgCGYURpQ1YWiSCnU+VFCtxNtWchmUbeOfq2I3hPXdeYLEO+0vqcQ0aBkJ7g46meLIRARCG0RE+FgDG+Lt5MiNHwE46T4FPl2tR1KIkwGVwg0r11FDgfEvIVQZTJxAzOI6ckYbABP6SgkQohVb2ZLJluMSKkPNWVRTw+BDTTjF2btODjLH58JRQaxt5h7cDY98Tgk/kaI1YMGKkmxCggFEYqlNZone7J29FiY8AUASkNQUhiDBOqVqQkqEzPgxAxPZcCRITgPMj0ekTnCM4igiMEB94RnU1m5BTokibDyER8HEMKWEnAWUsUHiFkIk5CCkwREULinUMEUErj7Jiwq0ImszEKXIAoFdYPhNGiYurB1kojtJ7QqylgFWLEx1T7lsJkpCQnghADPiTDlRAQIZm3eH9OQv43dDYh/4Dk9AbWMiFJ8QkzShQpWh1/FheOr+XqKS79akKmFGFgdKljMc9L6tmS1eUF42jZ7/e0xwPN8Yj3DkFkHEactYltLCVEyWiTOx+7yP3jFx4e71FGMp9X5LlhVpdkSoIICKmIIk6LDulxirSukYaoAoT1CKmZ1Uuurm7pg+TpZYPJcwaX0HDJw48EEro1CABFFBI7PRf/uan4moCMiOlgmDCzSgliTFHv14RjjBFrLX3fp00TIfgp8TjFq+Pv/1cp9Xudkq+9kHlRUJQleZ4u9O/u78iV5svDAz9+/Mjx2OB9Okk8Pb/gw0hVlthxTD0YACFSZDmL2Zyh79ltNnz69InnzTM611R1jfdgLcDA5vmJ0UXGEBl8YH6xRqpLisJQzWuW8wGtM7Ks4HA4sNtscf2AUYoiU4wCxqbluN0wDCPElJj1dmQIDq8F0Y9EwBHBZKcE6FlnnXXWWf86rVbrZGCREvhKGZQS5HlCuuwPB56enhIWLVuzWCxO/T99n1Bis9lsWn1M57VxHOm6jsfHp9P5TSlDWVZkWc5ysWQYRrTOuLy4QkqFtZ5uaHHeMtqENC3LkmEYUMogpOR4bBLKq66SkWUMm80GpSWXlwtMZnh+3qO0ouv7KYWYjMi8yHBjoGla2rYlz9NQ7OX5+WSkHo/HKYGwxIdAXhaEEBjsSIyQF/mUChi4vrlBRMGnT59QSpGXBS6E1FtZ19TFDCmgnlUcj0fapqHvWoZxxDoLArRWyfzsE7Ld+TEtYxFRSqZfmUFnGiQcjwN957DOkecz3rydc33taJs9X+4+sz0eycqKcjZL2HLrOO5f+I+bR7768DXf/vKXrBYV292BrCiQUrGczwjAYb+lKMt0AwVcrNb44NlvdyfygpQSrXUaqMbIYUrBdm1H03XUsznz+Yy7u09Auk7UUze4lJJ6Nqeu66l/+kBRFDjnOBwarq9uqErPv/8P/4G//uu/xjr3p31jnHXWWWf9mciYjHG0XF5d8/bdB/KyYrPfU1V1ui+UcLG65PH5gbY9UM8qirLEZAVMKbbjsU1G5fUV45CqVJy3WDfw/PzI/Zc7umbPcrHAeU9RVJg84+Lymk/3X7i6estytUZpzW9/+1sury6ZLxaM1k6mVDud1zVlVdD3A03bsFguT5jWru9PHdKz+ZzdbkNdzmiahs93d9R1jRKSelaz2+04Ng0Cwayu0RoO+wPv3rzl8+d7tpsNSirKRUWIkaquaZqOqq5pmwalFSJIQoxcX9/QNA3Pz89cLBeYXHNojljvWCwWaGO4eXObcPWHI33bMnR9wtj6cbq3T0NQpSTKCNr2yDAMaC0REx7PmAw7OhbzNc6PfPnykPqrtOTy8orr6yteXp75/ofvaLt0PXRzdc2xaeiGnpfnZ9q2QyrNhw9fJwxs07LZDJRVyXJZsz8EmuMBYqI/BO+YzWq6rqPvu4lgkFCqFxcXHJuepjmiVOpwHseBvk/oVaUl3333W66vr2nblvl8flqqXiwWaK3ZbrenrmjvPdZaqqqacK5nnXXWWWf9a2WUQYhIby0uBoxIBh8hTv2MIZmAMdF38I7BJgyrkoKyKDBZhg+R0Xt8SDQiAYmkF0Eip3tEgRQKoRJ6M7jXxsCImPwBKZNZ5V0yIQmToUjqGfTT5yIKgg9Y64gT9lPICePqA5lKf+dDMiVxCQGqdcKGDuOACgE1BXkSNvSnOTkwNTGm7sIw+QwgcHak61rGYSDTasLYerwNxDyghDoRHbM8R+gclecgFcGPUzgpgkykxhAEiFQfpo1JNFtiQq5Oi7wEj3eeQOpntGOPtwMieJQEpsSoJCJF+tqKmLopIyk1GSNKgrcOPxGgdJ6Whbz3RCEw2uCtR6LQWYYdPVHqVPeiU3pzjDE9biEJPhJkutZAaqLQIDVKa3yMeGshgNSKKMJPSN6QvJYQPEJOPwcxwOSexHMS8l/U2c34AxIICALnHLYfwDkypdMbCqbO0xSp1pPzL6VEaE2UEh8j+IAfLS5GjDIU1YzZckUIP/Ui/sRtjtixZxzGdEGeTQcSIdBG0nU91o94PxJxeA/9ENG6ApERosd7R4wifawSeBK3Ofo4dVKKqXPSTSmFkc2+I+icp+0GF8K0JRAYfZzKZtOBcjp8AgI3DskUnZKPE+QZozXWeax1uOCJMaYhnpGpcNenuLhzCbny84vz1xRkCP/ym/bnBuSrYam1BiF4fHxkaI8cdhvuP38E6zjsdgxj6pwoyoKiKBN+5nBku9tiJz60ABSCIcvx1nHY7/HOsd/tGNqe3oLJcmazFet8RgiS/aHH9n0afM5rZusFdZ2T5ynBsprNUTojBIHtRsbesn15wQjJxXJGVlYUmSFbLtGk7Y9dDMRgEcEyDhYRAspolJZpg+e8VXHWWWed9UeRLnJMkdNbCwj60SKEop7NODYtAFdX1xiTECzGKP5/7P1Jr2xrnt6H/d5m9dHu7pxz7828yUpQIgUQtAWTI9sQSBn+EvLMmgqwDQ8N+xvIU408tABDA1OmZqYtjk3QJEjRVDVZmXnv6fbe0cfq3s6D/4o4N0ssZUFZVQlmxQNs3HvO2Tt2xIpY3fv8n9+jVKLrzlOlOng/khU5isTxtOfT54+cjgeGYaSqGsqyJEU556aoqd/OCOGENQV5VsnQUNJUpXQ25nmO8wN6VFOHoPQ0zucznAvs93vpHypq3r79itPpyPffv/D0tKaqiivOvChmHI9HjqcDD/cPVFWJ91FeZy8Jvdlsxna7ZbVcslwu6fuezeaVLM9Z3a+RrumEzXPmsxmzpmAcHC+bDdZYiroSI+10oqpnZIV0bTkfpm7owGq1YrEQ7Gt3btlsXtntt8znDSlFhmFgfxy4YFptLgmLMYykdiAvcvI8IytneBcwxqMr6PuO03GHthXf/t6/w7ux4+X5M/v9DlKk0NC2BwDef//HvLx+5OnpHW+/+oYQHX3XYmxGUZTkmaEfOmyWTcNfCm0MZSXIuWEUosOF3BBSoqpqnJfrnKZpUAr2+y2LxYK+b+naM6dDT1WVrO/viSHy6dMzTdPwzTdLXl83tG3PYrGQtKixPD6+4T/4D/4e/89/9I9+OzvETTfddNPvmP7gZ3/Mtz/6Ce++/hrnAsaLifj88sKbN+8oyoL9YUuW57xZvqUoBIvedQMJ2G63YOwVrRlJeOf48Ok9+81nXl+esVqzXK3QJEbvUNawXtyhTIEyBY9vvmY2W/BHf/TfEkLg7du3PD4+st1uObdnikKQqjFGmmbGen0nqO/jkeVySdM0aA2bzUaGozOpPilLxWw2Qyk5r89mNejE3f2avhv49PETKUZm1QyN5sOHT7x5fCL6yOl85jSeWd+tWUw91Skm7u8fWCyWtKczm9dX9scDIQTeffWOn//hH3L3cE9V1zRWEHXdODAeD8yqmtyuUMsVYXQ8vzzz4fUjeVlQlgUujGwPZ543z1RVKQPSZGhliCpijcKqDO8j1hSUy5IYA8Mo5uv5fODubs1yNefjx4+8vDzTdT3WWOqiwvvA0Hf8q//mX7Ddbnn37h1NM6MdBs6nPb0xVI1ci8hwmKyxZFmGm0hIsvgbGMeRcRyp6tmUpBFyFTChfTcoDY+PjxyPR7z37Pd77u7usNZKP2dR0DQNAJ8/f0ZrzXIylfu+/y3uETfddNNNvztqTy1FmVMWBdpm+JjQE45UKY1RBnTCKMij5XSQXuEQAloZ3ChdjT5ExhBAG5LNIKYvqcYE1hiUMYIVRZEURK2JSU+IUwngyPdLakWFgCVe+tkmop8hJlnT9t4JptUIRVD6CSOEiEHCKUlpgjJfXo8RC8c7T4iJbHrMPM+xWY7NMlJKeO8FEQoTwUGen1AIJMGZGU1VlGSZJUQPIaJTRCuN8wHvI8pY8FAYi9IGnVlyxPfwPpKUkgSiVtKtaM1kKkZilD7J5P1khAZSCHg3Mg49KYxoNRm30aOTmJBG62uaMlOgtCZERTIGqzQ+RJQxGGOwNr/W30XA2oxkIyYpcmvxRSAlLXU1RFwIuBjwMZKVtYQutSJpS1RG/J0oJmtCEZH6vWtPKEjtXZD3KSFGpHRbSick6WZC/vfpZkL+GikgTZHo6OW/ubZykJhiwpfvVEqhEQyrmgpaw5QE9FGiuj7Cqe0I8YVsSgEMw0Dw/lrMbrTCaCOMZhXx3k8pQC0R6+DIcstiMcfHgSwzSGraE5Vwp0lgkJi20pqUgkwsAFppMUAjnM8Dr5sj7z9tCHnO4B1MS6shRdAGow0RxdQuSURLlFxJYkBPic80/aRSgisDrgdirQ0oi1Lp+vcXvOo4jlfT8U8ajD/8u4tRe/l3pt99mU50zrPZbjmf9nRty7KpKDJL8J6mqVFKs1ismM0WWGtohzND3xK8J/qA0Zq6qhjHkZeu4/XlhWwylbUx9G6k6wbu7wrevXlLjJqqOtO7gK0KilnNajmTRGpmMSpSTRMj3iWqsqSpal5GJ4ZrU7Ooau7XSzKrWMwr+u7M0J0Z2lEOZiFM21OmSazV2OKGY73ppptu+vPQcrVCG8257chzQYWCJi8KXn7+S1KC3/u9n9I0FZvdBudGnHN477FZJqnDrqMfB9qu4/X1lffv3+PcyLzMWcwXNLMZ7bmb+hsD51PP+dSxWCzRWibuZ7M5u8Mr+8OB1WpFURQYY4kkRj9QlhXtucX7yHwxR2lDP4y0fc9quWJ0PZ9fdtOrigxjT11V3D3cyYJb2zOrzbTQFgQnigxaLRYL2rbFjSPL5RKFEBxeN6/MZjPyPBfEW4xstgfW6zWzpuF4PHM6fsG5bjYb6qYhLwus0ejM4JykQmOUASnvHFVVkRcW53qUtmgDJlPX6c3D8UAcIv3QE1OkqkrKosYkT/CJLLeUZUGRK2bzxDB2dENHXhT89N/9d2nbls+fPuDaHfN5yfF05nQ6056P/MEfHPjZz3/G/cMTD49vqOqaoY8ygao05/P5V/Bpi8WC5XLJMAycTpLccM7hvEdlOc6NFHmGS5HT8cA49szqkjzPKfKM7esLr68vuNGxvL+nLOupC9SRZdIDPvSj3Oikgbs76bT+J//k/8Nu9/pb2y9uuummm35X9M3XP+anP/3rU0XKGTv1Jq3Wa0Y/8OnzJ/Ii59/79/4mh8OOYRh4fn4mRGTq3hj2pxN5nkuFx1FSgd9//0vKDLLMcHe3pioKXp+fUcbgA4w+cnjd8u7dj9CmROmcw/FEXhRyj62UXINoQ9t3zCfEaT8OoBRZnpMXBee2xYfAYjkHpXh5fSUvLClFXjcb5vM5b9695fOnz9N1ieX582eMsnzzzTe8//49TdkwaxrO55b37z9wf3ePj56Bkf1+d+2VXC2XHI9H0h5mdcPXX3/N4XDicDgIrjTL2O/2oCVxiVKs1mt++ctfYvRAGr3UvSCEg4eHu2kgOWJzw7pYUpY5nz9/JgRP152kx0prsixn3jxO1KJEHg3GavJMKAww4+XllcWy4W/+zb/Bd9/NOO4OjIOjbVuaKmG0oe1a/viPf8bLyzNv375h/XAv6ytGczjsMCajbSV5OpvNGIaBxWJBCIHT6XQdku77nq53EyVDX83K3W5LCIEslx7t9XrNd999dzUpn56eptTkeB2w/tLLuWGxWHB3d/db3CNuuummm3531HUt2miyTOgFIQRCSsSJwKeSmIYG6QD0zuG90AwTUg3ip59JWmNNNqE3BSEaXIQUyEyGRl1JgEpJWlInCEEwqinIinkMDjf0aCKZFbxpnGrcUOlK3lFKY7Wk82KMU6ZHSY9jlOSfNRlkGSEFogpYa1DaoIxFmtLEBNTaXIdrElxLKr1z0lOpNcSAk8lassxitFSlKK1QXhKTwXuiioSQ8D4RcCQ94hOYKpKsxWTyu5MClAYl2b8QA3hQVhO9J3hH8mLOaSSs5KdOzJQi1mgyo9EpotDCy00RopcaOJMISoHOBD87kRMSCWus9HhqffF4xSBOGmsLjAJQ5EVFSpM3MWVBw/S8rc2FYqkmP0MZlNaAkaRkkoQnSmpSZNsKnTIQ5XM2JSAV05dO8nz0l0TqTb+qmwn5a+Sn3iajDaYoUFlOioF4+ZCDfOiUlkQkCpVkYj5EKcUlpSlqLQtPm+1GUghuQKPI84ymkr6gLMtQKqCUxeiJ3xzkIHnBmNjMUlOSFYrRdXAtfAWjFMoaScx5h86sHBeinsphNSHIa0JJR2QaPYMb5aCn1FS8KolJjaQXL1jXlL4c1MxUditJTemClFSo/J0xBh0CYeqDRIXrAeAyrXBBqUoBPNcL/0vv4w/NyMsPXgxIlBiz2iis1SxmDc4N+KFn+/pCHGoe7+7JsoxZ01AWJXf3j2it+fjxI4fTjsxa6rIWVrTzqOmmaXSerutwStM0DXlZUs4blLYURc1qfUdMFl00HM49QwiMLpKSRqElVj8OZKogRHA+kmKgKjKausb3PWVZ0MwbZvOGLNMoC/PliuL1Be96rIXMVPR9L9sgCSp2vlr9pXz2b7rpppt+16WMRmcWYwxt31MkRZFX/OyPf844jnz77V8jz3PO55Y8zxmGnjz/kja8TM3vNq98en6mPZ0ZB0GUvXlY09QVxlpOR5m4LMuaYRwYhkGw40GoABp1pQY0sxkpRvpxJM9zjscTh+P52lkxjCOz+XzCiBvef3yPtYZ37x7ouoGh61jMF+z3O7qu5enpibpu6LqRLJv6HNoOrTTWGLz3zBcLitziRs92u6UoCh7uH0HB4XAktdIjFUOgbzdoY5gvFpyOJ15fX1ksFiSlcGHk+eUzVVGwWq5AKxngSvGKIlNKURYVeZmjlMJNfRk+evq+Z7la0bZnun4ghEDfD3Sto84BFD5Ih7ZS0uuhtSEvK0J0bHYHUIq7h0diX9C2J1are4Zx4NPnZ7b7A8M48Ie//6/5/rtf8vT0hru7O5bLNUUzIzgZuBq7lrHvqep6GnbSzOcz8qqg73uGoyPXGltUbLcbuvZMM6uZNTPyzJBSpO/OLJYryrLi8+fPtONANmHa8qyQCVUFi+Wcvh/Ybndstq/kZcF8tbyZkDfddNNNfw66v3+irBrO3VnOucFR5Bkvr8/sDwceH9+wXt9NvX6yiAdfBni99zRNQ9u2fPfdd+wPB4ZhoCoL7tYL7u9XUqXSD/Sjo2lmzGdzNpsti+WKoqxJSfHy8kKIibv7e96+fQdKcW477u4e2O4+M46O2XyOzTJiEgpOUZWkGGjbltfXZ37v936PrMjZbV+pG7me+PjxI1mWcfdwz367RWvDfLbg44ePuNGxWKzYH480Vc1XX33NMDqePz9jrWZ5v2S9WvH88kKeybWOtRn7/R43jjRVTZZlDMPAdrulmc+nvswjY3BUl67MspRUhndCjoqQFzmzysiiJDAMPcPYE4JntVrivWezeWUYeqy1hBBRHFAYtFb4oDBGobW6nu/X6xXn9sh3331PnhfMFgv8GFjd3TH0PR+fP+G8Qxszvb871q/33N2teXp6Q13O6YdR8LDjyPFwYDaf0Z7PMtxUSJqGFNkfjlR1QZ5nbLcbTqczZZlTlJJwHN3AMEhP5Ndff83Pf/5zttst4zheqRYXY3I2mwEwjiObzSv+hly/6aabbvpzUZpMLe+crHfnFj8GooloLelBrQ1BK1QMKC3rvWiFmc4vKUWsNugsIytyTJ5LCj5AiEIZtHkiaTEhfQhoDdLQMaXovSQfExE/jrhxwGrIjdzjRyAFRVDp2qOYXQg7TD2HU72bVdI3qELEKMimqrfRjdgsI88yzFSP5mMkJEgpoGLARklsGmsx1jD0PX4csdYQgmcYe1SSfkhrrNRXOo8bHQRH8B5rc4zNQAuCNiCUxOAGyWBpTRxGbFmA1mLMRfE7gvfoQoJAwTlUYjIbDTpJhZ03svFyYylyiyFJf6YbpNtxoil6HwnJoawCI+dm6ZLWkpY05voZQEl4KPqIMRalwIeAshk6C/SjBL+4JDYzjUaTT7UpLgTEWzAYkxGShMm0FupDiJKmlaCZpERDjKSYyK1FJSVJ0SToX/vfQ3b8q66bCflrFGJidJ4CQ2EyTGE49x0+BiCSaY3BoCbDUekJW+pk59ExgkpYAl55xuA4ng9sNxva05E8z1mtlhTlIyEq4jBgtOHKEhb3Tw5GmSy+aR0lNaByijIjhhENaCXM5UxZ1JRkDG5EJ4WZFjgvTGbvPTEFbGEoMaQhTh2SiRQiRimMtgQfSVqY1zZB0hpSICTIjRiaDiaXEkDJ4lqIODegtUVpKYv3k5kqi7aelAIpyQH80hGp1JevFOSAcrl5SZPnqxF0itUKCKgUyHSiILJoajb9meNhT5NZ3DhSzWqMuWD0PF3bczxsOB/P5EWJTTIxYjBYZSnykjA6SYpcOi6VospnZGXF/eM71k9f47EUPhFfd/TbPcpa8nJNShXn40hhFCmc6ceRME2fZFZR1zmpNJjSoErNaBNj8nQpYeoZ5AVjUtR5TVnkoC1930HU3K2feHr39i95L7jppptu+t1UNwzsDgcpficxuIGudyitePvVO4y1bHc7UkqUlaC127ZHKRjHgRA81ihePn1m8/rKcrHm4e6JED3L1ZqyKnBuJKSAj46Q5Ov+cU2Wg1IyaORDhzUGAvjeUVU1u9OR0Y4YbfE+sNseKMuKoixJCuq6xmhFU+X0fc/r85YYI0WWsWwacpPR9z3tocVoS1YUbDZ75vM5ZQm73U4m8h9W9L3HFiURR1aUVLOG4+mMUlCWFVpr2vOZ8+lMZjO8d/Rdx2I1pyhlgbKqM7rOQ4o41/P6+hlrLLO6Yrs9EmPE2AylICtKjM0Yxp7clKQUiX2HttKXsVo3LFeP9EPL6XSkPXccTnu0MWSZpShytFYyXamkjD5GRVXNSMDpsON8HFktHoghkJewWj2x3bzy8vKZnd1yPB745R/8N7zXirqq+fFP/h3Wd/dYazh1HaMPdEdFVtaEFFE2IysLoo5oq+n2R1KCKstZPTWgkC7KpGiaOcZmnE4HMJbHd2/Zbt7TdUfa9hWUoSxrlos1Y+gYw8ibd0+ECNvtjv/wf/m/4P/yn/1nv+3d46abbrrp33r13vN580JMHkyiG1uG4OjHjm+++Ya6nnHYn6QL2iqciwTvpsqRyPl8pixL/vBnf8Rmu+H+/oE3b+4J3vPtNz/BaMUwDvzsj34pQ8Q2Jy9LmvmCup4R3EBKiuePH5hVMxbNkjKrZVjlPHBQB+pCUvLblw2z2Yz5ZPaVmZHFT11Tlzkf3n+HtYb5bM5sNqPMCk72SHs640dPpgu2L4cpxX/HZrOlqhY8PD7J4EtmCGOPLS2LxYLD/kCWWVbzNd57TvuTLOQqxa7rGaqeLMu4v18zjiM6N0QPyhic97jdnqKoyPOcU3eW5IW1KBT5bEaMI66TFKm2VuphJkxZ1TS8q0rO5xPn85m27Ti1B+mZLnIyY/E+ohWy4BccKibmiwXey8BU13U83N/jvKeaVfx0+VM+fpROzJQSXdfx8fv3fHr/geeHz3z19Y9Yr+8gelJwHE57hv5MkRfsNk66r/OC6Ec0kf1hIx1TZcbb5ZspvdnhoqOeNSij2Ww2DM7x5s0bPn36wPl4IE3DUvP5nPv7e4a+w40jX719wziOfPr06be9W9x00003/W7IagY/kOlImRsyoyiswU3diigJzoxRCVXQqClRJyQ8m1lUgrzI0JnYIzF5UkhC8tMW0JzPHSYL1PM5yQ04PzI4J+jVGCBFcqtInolSGBmcY6K3Ct6UAZOV5GUt6cEQ8D4QjUIZLQ6A9ySl0PqSppN0XZYZAjlaGUkpRs8YAj4mirpmDEL2GUOkKkqYHi+ZRDSCIQ1T4CczGhUVKUT6foQYKYscF0bcMDCOA7PFkqKu6Z0HpXHJk7z4EplKVHlOiA6tEB8gRIwScp9O0tcYEkQvQR+tNWkcUHisSiRzMYATWZ7hUiB6JX2M2koAakp8YoxQi6zB2AzNZDjGKCEphRAXY0ArRdRI9+TkM0RrIGUS6FJT2CkGqX8ZB6l2Q641UBOxMYq/EZVCp0toaqJdhijXObbAKtkAKQlqNqWETxDMzYT803QzIX+NxFebMKsJQogEIlES2qgYJekcJF6tkkalaSeYaK2C0TTkyRKJlGXBYjmnLjOy3FJXNUonnB8hQV1Wv9JLQOKKN5UP+GROThlxNX3wuaQVL01VaoowKkVCEZyg0GJMgvokonVE64QxchCUn1SQtOCsUyIEmZTQRm6EXPAE58FmoGSqQaLvkRAh+iAFujGgk0YZTbJTyjGlq+F4TTQyMZxj/JUuSD097yuC9RKzNoJnUVqhIsJcjoH+fMJ1UhK7WixYLhYsFgvmTUXbnvnw8T0fPr6XIvoYyYwl+cDhcKAspO+qLEtmdU2RWawxWCtG5jjKc6/qGeu7Bx7evMNh2LcDXbSQ1yhjKOs5wxjZbY8oHzBG8HfGaqqqIsbAbFYTg6duKkxm6MeefuhxY2AMHoxF24yoFD4l0JairJkvlnz9zY9pbmX2N910001/LvqX//Jf8nf+zt+hKEqSu6DPI3kuPYQX4IFSCoVhuZShlsPhwOvrZ46nAy8vLzjnefv0hnfvvgEUn58/43xk2J8gBepmPuHADGWZk1LAe0dMOePY055PpKQYx1HS7xgUMqHYdQNlVaONYRxHfAiUVSE9EdNFcVVVWGPxznE8HnGjZ9Y0zOq5TFYS6dqOLMvouo4QAkVRMI4j5/OZ9XpNjIGYIsv1iqLIBb+62dB1PWVZMo5TZ1IMVGV17T1y40hZlAQCy+WCGCObzZa+76iris2mRWvDbDZDM/VfWEPVVCStcG46x8ZEZguUlm6FGCOZLbhblzzca9q2Yxh6SSIO/YQ5i9RNDchNxjB4ssxS1TOMMpzbM6eTLLIWmfRVz2ZzMmNYL+f0fc/5fMQ5z//vX/5zjM2oZw2Pb95RzhqGThIfs+USaxTHQwtK05QNeSUdWsM4EEPAZpamrkgqsdvvSEkWWQWp71mzZrt95bA/4nwkhkRZVLggN1Ahesqq4U6vadv2t7ZP3HTTTTf9LikvMkxmiE4qLsZxoLSWh/t7GbBpO6y1aK2pq4K6LgnB8+HDR143rxNBQBILf/fv/l3GceTjp088PjzQDw43jmgNd/d3pAnnHacO4Rg8RV7wi5//kmEYWd/fobWZ8OyK+Vxw6MaYa19g13WklMhzS2ZlIv84jpRFgTWG3W7H8/PzlSh0+bm2bTG6IM8K9rsDeZ5zt77n9fWV+3tBkradoMvfvnsn1wrDyPl4YrlcCoK066Y+zI66rq+IUmMMVVXRu4HV3ZLdbs/5fKYoCrq+pW3PU39zPuFVjXRGD4oiJLwXlL0xFmO0rANESEkxa+bM5wu5Hjl1jKPD+5HTSXoTizIDZB1BkhyRECJlWaGU5uOnzzIoVpbTGgPUdYPW5ro9j8cjm82W3e5AVVU8PDywWCzQSnE+Hhlsx3w+p29b2tOJuq6ZzxvKCN3QyxpG8FRlyWIunZR916GU4m69Fkzrdsvdas33339P13Ws12tCCGy3W2azGVVV4ZyjKAqenp74+c9/+dvcLW666aabfieU5QV5bjCZlnCL9yijp9owxeVmPqaEySQhaPOcqASHChqbGfK8RFnNOA744EBnaBOlL1CBd4GoRkGMIuvpPjhS9ILhjJGAIviRFOXeO4TIMAxkRT6hYRMxeEJwmGhR07q+StPzRerNxnHExIBNkZyEMRqjc5jW3X2M+CDr5tpohmEkKNApkweZquGiD5OnECHI2oMLAQ3kE43QBzk/k9L0vGXdI4QIo1SQ6NxQVQ0+gY8KoxQpeNByflaTCagAlRIqJrRK0uWoJ2JkCFPYSKGNxoRpPV8p6ZVUBoxFaT3BamXdX2krPZ1ag7ZXT0KrNHUvKoI8awzSC0mUv0clMErWS5KBqMXXSPI7fRAqwcWfCFHebyYzMaUE2kyejpjCGklgpjjhfpXGGkVKhmgCcXpfjL9VqP1pupmQv0ZKKdkRpqLZFBOZzVBJ8GLEQPSB5ANGXUpp5UCntSxaKqXIVS4HFO+wxkhHYVWSZ/aauLt0l/5Jc47Ln7XsMFprzHQ8VRqCT9POHiYULBPtWAzRS6FuCpHgAynECRwbsSphDVgDPgViSMJjVkn6H5X8WWLsSDlrBK+nzsjLNrp+JTkYJyW4Wj3ZsFEOQpcd+mI4XkxHY8x15zdm6qFUUczfqWT2wnoGOYkQEwaNsZa8yFEozuczWZbx8PDA3d0d8/mcpi4J3rN1G06n03UqMV8Ldma/32OM4f7+gdVySaaVTC/OZiyXS477Ax8/fWaMsk1G5+mHEV3UGJsxWyxQeUGckqBt23M4njjvdsQp9dnMalarlUxfGMVs1jBvaumbaFuJlRuDzTNWd2tUdDI5GzxJBWxZsL5/4P7Nm+uJ9Kabbrrppt9M//yf/3P+3t/7eyilOR5P1HVDWdcMw0jbtoRwQmtDU8/Y73ecW0Fttu2ZfuinPscZT49vyPOCth0YB8esmfH6ssVHz2I24+nprUwYjgOn85Fx6LFGkGOSwUwsFguyLMN7z/F4ZBgFk14UkqZMTpHnOVmeUxQZYz9Kr8WUWsiMpaoq6YNA4b3nw4cPVGXJ/f0deQ5t33M+n8W0tJaXl5fr71NK0TQ1TVMyjp6yLGma5tqNdDwcsVN3dYgB5adO6JQ4HA/MFjOqqha0bdvRtWe6riXTBqUiPvRoZOrRWoX3A6iIsQodJAGJksd0TgaulNKTIZzD1JGRZbLIGYJ8XZDwWss1mpilgapuaGYNq/Wa/W7L8bQnhoTzgaQM5WxBs1jS9AvGcWC/O7Lb7fjFd7/k4/MzD09vaOZzlnd3nPY7lDXM5kustfixI8SePM+Zz2VhcRh72taBUnz91VtJaux2RK0Zek9mC+azNSkaNq87joczKWl8hMViSVlW5EW84nJuuummm276zdU0M4zRdF1LXZdUVUnXjfTDgBtbSfJlFbvdlq43dN1Z0G3BU1Ul88Wcd2+/vnY/h5BYLldstnsKO7JaLFgs59w93NF3Zw77vWDajGY+n/P9d9+Tkuf+bkVeFGit5Zx6PPLw8MBsNqObOqVXqxXv3r2bhm06hr4nRn+tLYkx8vDwQEqJ7XaL9563b99OhIOS589b5nMZejocDjjnsNbSti1d17FYLK4DSEVRUJYlxhgOE2L2Mjx7d3fHbre7nuMv1wjv3r3h5fWFEBxKwTB0gGK5XJFSpOtOWJtN/Yn91DuVTa9nJMvstF4gw85GW4qiEHydC8xmknJ0ztH30iddliWn01HwaMHT9+NERChpmhlNM2O73XI8Hq9D3CkliqKkLCuaZkZZVtehqg8fPtIPA4vDgeVyKeZsezGF58QYZfvUFQZYzGXg6HQ6MQ4DVVXx1fQeHQ4HzqfTdP3UsNu88vj4yMePnzgej9L7PAiC/9tvv0Vr6Z5Wt3v5m2666aY/F12MLGIiOE/SCh0lQWeMkU4/lOBHc4P1DutzgkokLwlBFGQkdEoMzuGCQxtFbiXZpzKLj3Lf6fxAmkJASlw3CfN4Bwn8OExWmJhk3k8Ds0qjQmTwAe9GSfQZCdOoyTiUlXOF0RpNAh+I4dKpKJ7ABT8LsoZuraUfnCBGtRFDLyVGN+FVgxhjMQRSTBOiVqGtIcUoxELv0VpRTIlAnxLOeQIaHxJ1aWmqmm5wEwXKfNn+F2MxSXpQPBNP0l+M4BCivOaLtaGMxEVJRKVwMeEjhKRQCEkRpYWgZKSTMYKkIrVQKEEeLCQxTpOW9zhIfFGCZNO5VmmNyTIxR5P0eJK0mI7T878EwJTWoMwPwlHiv1w6PJWSbXhZs5CBMCV1n4gB+0M/56b/rm4m5J9BiilhGCMxBZL6slBmjUYrQ9JTanEy4/R0ILm4ZkopUhYJocBqM5WXQp5pzNSzFLyYgNIToK6xYFlsC9cDjlJKHkMlMTqtTFEQFSpAimnqc5R5CtkZImbCsoYUMEzIU6OwATIj+Fg5nEZAYuta4pCEKOlGJgM0t4YxSmem9GZCmqLN1ghnOcszQkw4F+jHeD1YhRB+xYS8THJeOiB/eGD9N74f0/fFlNDWUlcVq9UK5TxuHMgyy3w+l96lPCd4jw/++vuyLOPh/p71Ys1ms8FomZi8u1txt17THk+0bYvznizLKKoSbS1hCHT9yM9/+T3elDy++xF5I90dxkdc7+iHXgxKbUgk2r5lHHqJ6EeZ/jBaYZ8e6XPDxw8f2G63LJdL3nzzNfPlkrIsKKuc/eaV8/FIjAmVF+iiYvCRc3/+C/y033TTTTf91dF//p//X/n7f//v87f/9t/mzZs3fP/9e1ho6qqhKCT9dz6fOZ0PdF3HOI44N2KMoqpLqqqmqmpm8xnnc8vnz5/QWtPMFhShZlXXzJoarTL6zjGOA8vlir7ryDOD947j6YD3Dm00ZVmyWCzou5EEU4eioSgKirKaFuZ6QpQpRqEVBPpeTM2qlH7pPMsYh/F6bv3u+/c0szlZnlHXkhw0xvD11+/oup7D4UjXddcEQzV1H3bTpP9sNqOuKmKIgiJzjoCnKAqWyxUxBE7diefnZ+mD1rBcLlAkyjyb0LUjabpwd6HF9RFts2kQKycENyUdLMaUVxpDSnIdISNVWtB0NqMsSznXpkiM/ppk6bqOc3siItsmL0sent5QNTVu7BmGgb47SxI1Bmxeklc1T+++xo0j2+2W55cX9oc97z++BxR13VDPZtRNQ900VHVNnmecjwPKGGbzGVVpGZ2g+f/wD/5b6qZhvb6XVIv3HPctMRjuVm9Yr96w3e7Y7nYopTmfzvT9QFlupEsqM3/6h/amm2666aY/s7Kp93kc5dxd1zVPT29o2w6XSULgcNjRDx37w8DoBqqynu4N16zv7jDG8OnTZ3yINE2DwrBa3VOWFffrO9r2SDu0NHVJM2ukZypGXj59YL99ZbVas1rMKGcLnA9T17ChbVustTw8PADw/PzMOI6s12tOpyOZNWy3r4QQePfuHXmeE2NkNptxOp1omob3799T1zV3d3dX2sF6vWa1WvH6+sp+v5frhhBommZKf7ZsNxvKLKcsS4pCuq7HcaTrOul/nL73QiRquzPfv/+OLM+I0ZPlsg2OhyPD2GK0nPuVijjfE3ygzEqszcmyjBhLskwW9uazJX5aHNXaEoLH+8QwSCflxVz03sk1VTOnKHJeN8+05xZrcrquwxhLWZY8PDxQVZXcvzs3EQjS9Zriq6++4ttvv+Xjx498/vwZ5xzv33/g+++/pyhKZrOGzUbOv4vFQoarTkdCUlRNPSUj5xwOBz58+MBqtWI+n18TpLvdjq7rqKY0qDGG7XbL6+uG9XpNniv+8A//kHfv3jGbzdjtdr/FPeKmm2666XdHY98TnUYZsJkFLdjOXAuy00zpOWMNCQ9GTEWdEi4OjP1IPyRJEhrNMDqSiuR5QhuFzTQ2z4gpMDhHCKN0/6lEZoTcNziPd4NUmXlBlCriNT2XWTEHY5K0YIqR4D3GSj2ZSkzBHznfmiwjjZcatYCKHkWa6ssu4Z+LR5EoygKV5Zg8mwg7iXEc4JI+1BoVNdoo6aE0Gg2MbiCSsEVOURRkCPEIF2BCqpZGkyJ4H/Cjw4+OkOUYlYEJKBJm8j0ioBHaD0nqyHSS9X/nRtz0/FOCpIyEmpLCj16wtFFSnxiLQYPOJCGJjGyLx3GxWKS3O07kRxUh2AsaVdCpISZBwSqDmTojCTK0LEPRX4Z+nXOTXzB5IMj2/cKjZDJV9fU16Om98CmIVxQCIYrp65z7i//w/1uqmwn5Z5AgRBPESEyJoe/BKGyWoaxMH6D01fGWRTOY7EtAkoqZtuiylh0lSc+hZtoRjWHEMQYn0w5JXRfg4tTjiBY330x855DEzFNCZRU6q1ISPpx2lxRl4kElmajIrWUIMi2gjZJyVwM+gNWJcMGxKmEgT3lK8BEfPClejE2NniYBpt80xaE1NpMiX9kIiaCjsJnVl22qrmatlsXVokAphXNuWnB0U/pUzMbLdiVNpu4PHkMweYqyKHnz5s01aTkMgxiefqTveunVvBi7o2Mc+itaxVrN+XzCGI3rJQEzjuN1OmT0nryoKMqa0Tk22y2z9SPlYi3FsxkYn3Ahoq2lKCua+QLvRmLwQJRFTzeSZ4ZTmaGSpz0dGfuOuJhTVRXzxZwUZsQUcc4zeE8AbFkRbcbzfs9ms/0L+qTfdNNNN/3VUoief/Bf/gN+8pOfSKLx6ZH23P0gZccV4Q1Q1xVZtiDLDVmmsdbgvedw2HE6dRRFTl3PUNpgbYXMM1qaZsE4dmy3G4ZxmAgEFef2yPF4IMvl3OScYxzH62KhdEFoTuczw+jIsgwmcy3EeL0YLoqC4D1t2xJjJF8tqOuc/V5fFxh9+JIQuEz8aR3JMst6vWa5XDAMI7vdjv1esV6vefPmDV3XSUoAyLOcpmmwxtCdJVlRFgV1VROJHI6XNIXccGWZYex7GcCxSc69Y8u5S1hbgjckSrQyaJNQQQav1FSgEaMQHEKMWGMhDXjnr30MxkSMUVNisiCbujyUUqDjlOJsaU9n6Zwoa9phFNzL1Nlg8pyqLASNYy1Pb97wzY9/jPeB/X7Ph4+fOOwP7F5eePn0iSzLyMuCH337Ncv1EmsNh90rIUXKqiHPcr56947T6cSH999TlCVlUdK8+ZqPHz9zOk6fk2oGaM7tebruSwwKdrstVzTGTTfddNNNv5HO5zOr1Yq6rq8LR8FHLvfKXdczOkdTV5ismDqHrSyGWcs4Dnz3y++pmhk2ywk+kueWsqqpyposz0gtbDZbvKtk2NRknM8nPn38yHq9xmhJ+xtjrufyt2/fMgwDzjleXwX7Op/P6bqOz58/s1oteH15Yblccjgc2O12rFYrmqbhdDqRkhAULvfC+/2esphdX7P3XrqjjVynDMPAhw8fiDFyf38vKUkUx+ORPJcFSGvt1SR7eXnh6emJu7s7np+fCcHz+vLCfN6wWi7oh57z8UBdl5yOR3x0pBQZB3l9q9UdbvR4/4V0FKNU22ithUww+mu3ksIQA/RuIEXICyEgpHQxki1NPcfoTBYBtaRW2/Y8GX/ynoUgi7YARVFKtYqTBc4f//jHfPvtt4zjyOfPn3n//j3H04nX11diSjw/v/DVV+/46quvyK1Qjk7HA6fjUSpeZjOqsuDl5ZV26gpt6hqt4OOUeLxcL1ZVNQ1GiTFa1xWfPn2ibdvrMNhNN910002/mYZhRBXZNfAiJt+EB4yJSLym/8bR42IkaYXJMzleGxkwHpwTZKdWgngtS/IyQ6lITA5jFDZNFCMVSclD8sTgSMGRYpiIPxoI0u2Y5P51HEZiSvgwVbkpLVjX5CVMNAWILthPgiQgg/Ok4DEpTt2Lsi4ug7YSHUoxUtgaY/T1esAYI8QBZNBHEUleEp/WGvIsJ05Y2bwsqcqK3Fp815KCXB/ZLKfIS0KC3gXaU0dIcr6OIaBjvCY0jVYChCROFsAULIoSiIrToHGcBo+0VlOASRMFlojnglvNIDOgLBF7JSdE6Z6DEAkqSfIyyf2zmvozr3aBAvFB5flk9kK3nD4hk6NobXY1c3+Yarz0TV6UpmCWsKvkZxV/InCGPGyMQsyM8ZaG/NN0MyF/ja4JyCh8Y5APFkrLIiDSacA0cXBRCPEaDddaibU3oV1DkIMGRHwMXw4UiWtMWnAi8TrJB1DmhSzSaYWPnsENEh+P0w6Z0rRjyXNN044XY0AlOagZpeQgoZTkkBM4DVoltJ7aJC8djEl27izP8V4Omn66eRDWsZaouFLokHAhkIInaulrcM7jk5i4SiXiD1INSn1Jei4Wiysa7jK9eOnCZJr4uGzZy1Qj1qAVuGnR9ZBZlm/fcn+3pus6dptXxnGUxWM/StrBSsHt6XTiF7/8Jau5dGVlWU5KkU+fPnI47CmLinFKmxyPR5lysDmPbx+5u7sDm0/vgUw6ZHlJYzI5iNn+ejKwRqZucmvJM4tMawTi6Ni9vqBTZFZVlEXBarUWdOx8TvSeoj2TNzOK0eOjJm8aVF5waDtetru/0M/8TTfddNNfFSml+K/+q/8H//H/+j8Wo84H2q5jGEfUlLqTRa3Aw8MDq9WSosg4t0dOJzHcviQIeoKXIRofRlbLR+7ul1hjObcn+r6lLEteXj6xWDTUdTUNy3gW0zR9WZbc3y8ZehnAObdnrDXSbzSlJk7nM0VZoIGh7zFa0zQNZVHgRjl3ffjQ8vjwQFmWv3JuXd8v6bqB3W4/LZDV13+LMVBVMvF/Op3Y7XZUVfWFxBAT+3bPfD5HK319XOccu2FHN/TEaerRe4d3IyFY/NhT1yWgGaNsG6U0XX9m9J62La4LpUVpAUPwgq+5mqYTXvaSkAjBMzpJbFj7pSy+6yIheIw1dMMwdVHD/cMjSsPpdGC5Wk/XEiP73U7wen2PCk7ICd5NmNU5Dw/3fP3uq6lLasfxeGC72fKyfeWf/JPvqJqa+/sHHh8fqeuG4HpedluMzSnLiroqabuO0+HIcn7P/d0TIQQOhz0w8vT4hn7oeN280PcdLjja9vQrNz433XTTTTf9D1c/dJzbL+ertu05n3rGcQQU6/U9d3d3lGXG6+YDPjjGYSDLcpRKbDavxCRpgmEYmDULnt68QWnpYTqejoQYGIae1sDD3YLtdsNxv+fh8R6jNMvlnMfHB3qfWOZL+r6/piHLsqTve15eXmiahqIoBP059lRleTUnz+czr6+vE56ca3fjBZ/qnGO7EQRoVVVfOqaVulIWQgjsdrvrPbEPYtadTieAa5rwcu7f7XZsNhu895RljlYwDgMx+OuiXQoBY6A9txgr+PXjcUvXtjw+vMO5L4SnEAJKCY4WwBjBs3ovJuFyecfhsJeUqvNkuSXLLH0/cDqdyLIMrS8JUk1dz6bU6Imu67i7u58Gww7s93tSGvE+XHs2u669ou9/7/d+j7u7O7bbLefzmc+fP7Pf7/n+/QdeXl6p54Jzv5jXL8+fr9jV5WLOfr9nt92gFXIvvxRDeLfbXbG3u91uSqHKc7p0ZnZd99vYFW666aabfuekEmQ2o8gztDHEqVaM61q4E+NPqynJKMhNawXV6b2fTCw9YTsNRSU47zzLGEdPGANxwnJmVksYyAfc2BOcIwWPJpKZTDyukBhCENKgtbSnEyGKaaizHKM0MSjpLkwBHcUnkASlNLyFCS8evJ9IhtPrBQIQUSgj6b5xdGTGXo20LMvIY8CniDGGkPy1Wi5oI4jTGFHGUOQFVV1Lz6P3hJjQyaBNRojQjQ60xQdPXhTkWgJYRimkeTGhFYJaVUzGoJqIhxNpMQVS9PgQMWiUtnwJJSmiuXRDJnSWo/IMrS1pTCQlnZJpelPjlZ54uVcW01TM3zh11klQKsRACGC0wSgtzzaKOa2VwuRiKl/ojD8MSgHXMBQgxurEjLwEoqaPGWbqvVRJXzH23Kjrf6puJuSv0cUAuyBZlVbSXaDlAxdiJPmIil8u5GEy9dLkpk8PIGbklI1UMi2gJuMwIrHd9Cccc2O+HG6kl6Ihyyz74wG/c7gpoaiRHf86PQHS4Rg1KQmOVKuEUUkugKMn4MXwTEEOziqijJiKYSqLV0o6qIxVzIqSsmxo256X7Z6xG6VjUimUkh5HHzzOjaAUoxsZXcRYQ5FnEKRkV2t9nQC8HCgvO/tl6iDGiEH43Zcd/PLiLkamMYbMWmJKklwcRgC5UTseOBwOU3eTLNIuFnOKouB8PtP3HZuxpy5KqjyjqUpCTHRdR13X1LOa87nl++/eUxQF9/eP5HlGkecMPtKfWw67HRHLfHVP2SymUuScKs84nzP6036arIgYnci0JiJR+rE7sX3xlGVNPV9Q5oK+G7xjdI6YFPVsweHcobKRpCyjT2hlyIvyz/+DftNNN930V1ApycXp//H/9H/gP/1P/8/T+WEgJUXX9mRZMSG3FqxWy2lhTrqQ+r5nNmuIMfDy8pmmmVGVFW3bUVUNkBjHSNAjs9mMlDy77QtlVRJCYLvdSGdilmG0Zn33ME32O4zOGIf+el5EJbJcSu0TCec9TANMpMRut8M7T5HnVFUFCQ6H09Uo1MbgvON4FCP06emJYRjY7/fXXmrvA5vNhrIsqaqK05QOuGBOh3HAWsv5fCbkBZm1eO/JrKQz8zzndD6htaKqKmJwBO9QKHa7vSxgGk0YZDG3qhpi1zKMLaPrBYnWzOn7jszm2Ik0EUJimCZIlRYcveBxDFUlXVHD0DMMLVkmP5d8nPCx4ZouRUlHlDFWtp3VrO7uBTt7PrN9+YgxGXlZEWNkfzjh3ZZMG/Is4+nhgaooePP4RCLShTOfnj/x8eMnfv6zP8JkOQ8Pj/z4x9/iho6x78gy6dxazBYcty1ay4Jq08ywVtF2Z6qy5Cfffksi8v7D+wkVN/62d42bbrrppt8JxRh4fX0lRcU4iimllOLp6Yn5fM67d19NOFBJ8u12Wx4eHtjvTpzPHfPFitmslHtPbSjKgmHoyfKcqshoTwcOux1NVaKInE5HNttX5rMZzXxOmZUURUlEcGajG67VIk3TcDweKYqC2Ww2odf81A89st1ugERVVdR1TQjyWpbLpQzsIguobdvSNA3r9ZpxHNlsNsxmsyn5MV5x64vFgu12y/fff898PseiGIbh2tt4wbmCUCAuw9DjOKIU3K/vObcnNIZzeySRaJqasR9IMRBcoKpKrK7Y70+8//Ad8/lSUhfTcE1Kibqu6bruapIaY67XHXVdU9cVx+OR4/F4vRYQEoT0ZAvK9izXGNPaxmXR0FqpZXnz5g2bzeY6UGWtpe9b9vs9IQQ+fvzIarViuVyitb72YF+Qq5vNjufnFxLwzTffcH9/R9u27Ha7q6l76ea8rGvkec56veZ8PlMUBT/5yU84Ho/8/Oc/p++Hazr1ZkLedNNNN/35qKxKZnWNyTRBUjhijqmJnDeVlPkQrilEpUArg7VQ1BW5z8W4UqCMwRgZeIkxoAwkH6SwzEhyLoxeDMYolWYpyP8bLYGl4JykBKeOSB88yhiyvAStBMWqFKSAG3rIC6yRtXuVmAw+6VgcxxGixyqFmmpYTJGT5XJdEWMkKcUw9FigqOQ+tiwKvFIE7/ApYW1OikJSDDEJsraohMTjvZiS2mDzimQi/RjASe0IE9I0xgvVQdKMJrOQIkPfCTHJaEJM+HG80hJDjDg3TEPPElUs80LCWURMnpNMIHkvvkKWkbRhvCBq09TvqDVJJVATZTFJqEsrrinSoCCmIEh8gJSwk1Gb0tTdGabg1kTGcE4CUMYYCq2v4afLkFVIQrVUIJ8vpp9FjMwL+zLGKZSmtaQmb0HIP1U3E/LPqIR8EPMiJ2tKkkoM48hwPuFDwKQvhhqA0V/+HIKbnHMtHY5aMGAxRsGaaoUyGizELH7BvzIxhaOUnIKiKkvmiznKaNruzLk94UbhTqMUyigybdAWfHAkJXMSiSnJMHVCKp1IIdGPo0woakOeFcT4JSYujydltFlR8vbdN3zzzbfsDyf0H/4RP//F92jtZXLC5pzblpgSY4gYY0k5KOWJMDGv8yt2dbmUxdy+7/n8+TOn04lhGASBmqTEPnnZscHINpksXD2lL+N0EFZKkRc5zvvrzctsJjiacRxJQRZpjTEsl0tB16RIaRTBOaw1vH33huVyzf5wYLc/MDpHiFIiXNc1eVHgxpHN62eOXU9SBVFbzm3Pueu5e3DMV2uauqKuK+azmvNxy/m8x+hIVVjS2GNIODeSQuTQdXR5J++1Uuy7M+044Lxntb6nrmfM5mvazjG4hD92rJdL3rz7+rewB9x00003/e7pkq7/7rvv+Mf/+B/zP/4f/fuUZUGel3z11Ve0535atPR8//33ZJklJkdRZNPkoSz2aa3JMivmmJUUfD0rSXicDxiXCMExjj1FaTmfjozjgDFQVyXaSJoxIVjyITpAXQvnLx3L5/MAyCKc1ZpsNmOYuhuDl8XJ2WzGarkEZJApz3OGYeD+bs2p7Tgej9d+5KZpJvJCIMuyK6b1MjB0wZtnmXRJZtbS97JNtpuN3OQsC+bLJZv9luVyAUDXnRn6gSxTNM2MPM/o+jOnw4GU5Nz68eNHyrpivV6TZTnnc8tmKwvFReGp64aUYByHK0FBECkGpSzODQzDiDGasqrRWk3ItZEwyk2dsVMfiNHE6carHwYUyAJyXbJYlMxmMxazmvZ8lk6pccTpEYUiMxlVXdF2Hf0gZIWub2mWFfd3j9zfPXI8Hdlud3gf+Wf/9J+ibcbd3b10RhvL27dfs1iuISm6rmMYB7JFQ5bJ8FbbntFa8dW7d6xWSz59+vRb2iNuuummm3631LZnqkp6ffM8Fxybk3Ps4XCk7/9IEOizimHsKIqSl5dXzqeOu/tHqqrkfO6o6oanN+9o244st6TkOR1PfPzwHbO64tx37HYbFgs55xVFwePTE0ZnHA9H2m5g9IKFuxhql5Tibre7dgleUgx9L8iz7faVtm158+YNdV1fTcHLANFisZAu5POZ+WyNtZamaa731EVR0HUdMcZrz3Nd17hxJCukT/FC/9ntdpwnzOjT09MVE9s0Dfv9ju12R55nVFVNjIFzK13QkCjLgvP5xOG44+npib/2137Mp89b2vbEwYfp/ryRwaT9djIWJV2RpkGm9TrjcNwzDiNVXTK3Dc45uq4lhAltZ+3UHa0xpiBG6cUexoGykPRKZnNUpciynKaZ0ff9lL6MtG3LfD7HGEPf99eh5b7vJ5y84dtvv+Xh4YFPL5+JMfH+++/5/vvvWCwWE+lI+rjm8znr1ZK2bWm7jnJKrl6IEsMwsFwu+elPf8rnz58Zx5G27a6G6U033XTTTb+Zciv35CkmGSiKAW3NFcmqJrym0ZqU5YQwEQK1uZpIphArKYTAGP1UjSLnG8FvGoy1aGUmYp9Ul8lKtb4e04e+xY8j3o2oFFETarQoC8qqJitLeucZncdqjRu6yRiLROvlHjeJSTn0ndTARdDagpKuwi/pvIRSWtKfXPCm07+kRAwgKEKwyhBMEkNxoiDk1qK0kbVppmRfknSl9FiKoaasYXQBHyPBj1gUTNvOTOsG3o0SiiqEmOCd1JqRpLcxxYidTMssy8hySUKmkK7EQqU1XlziCXuqyDI7mcYKhdAVmXorVZQOSUkgihEbovykGIRaDEhl5GdjhCjPRaEh6Wnw/EvPZmYMaH01EC+kpctQuItxMinFsGbyJUbnCMFNobIpwfqDgNpNv6qbCflrlCajy/tEmWXUVUU5n6Gtput7dm5kdEGQpNONg9Yaa36Q4EuBlKS7ySpNMqAI+KBROqEv0wTKCB7VezwRYyAkiWjHlAjOEbwsohl9ifpOrGMSQSkpcFVaULB6cu1NIiU1xYelvDXFiAuyOBqCxJpJMnERldiWQplV+MGRlQuW6we++uYnlNs9L5sj799/Jssy3r17R16UvP/wkcSRNHq00aCm/sUQ8VG6tS6Tipfi991ux+vrq6Q4vJ/6IiQOHdUUrUbSzFH9YJzgB/zly8X+crnk6emJsizZvr4QY2S5XOKGjvZ8xlrLcrlkPp9TWEuuAq/Pz/T9wHIx5+2bJ1JK/PK77zm3LSlBXhTMFwuqskIR6c9HTscTvVN0oyNvFiyPZ5TSZLlFA1meUdclb96+oe1OtIeIQkqHi8xgVSaxeicTt8YoovecTyeetxtGF8jymrpekuU18/maoe85nY7ktqd+vPvL2wFuuummm36HJVOSmtfXV/7Fv/gX/M/+p/9zYkw0zYzFYkldyaDO8XiiLAuy3DKOci4yRnM4HKYEwozj8YhzAWsEB6N1kg4Jq3C+Yxg7+qFF25Kub/HOsVjMrn2Op+PxmszbbnYYa2lmNYvFnHM70g8D83mD0jNeN7JQuF6trmjz2WzGw/29pBY7WVD03svF8TiS5fnVaNRa8/LygjHminEzxkhf1dRrdOmavJitfdeRonQrr5ZLNPK4wzBSV5J+OB6PAKzXa4IPnI57holSkGcVd3cl4zhwPJ0AxcvLhsPhxMOEjl3M5yit+fz5M217ZjabozTk1nA4nH9ATVByXaUTRZmRZUZuzrQiy2Uecuw7UgwMY3/tm1bGCLZ2Qq47N5KUIkaPCpGYNMYWxIDgdyLE6BiPgk9br1YM40jnhiti7nQ6otD86KsfEWLkJ9/+hN1+z/PLy9Q1bXh9fYWU86NvfsxiueBw2HI87SiqnIeHe7SZsdvv2Ly+kOU59/f3v43d4aabbrrpd051XbFaLWnqJUVRst8fkc7hS1VH4Hw+yXkiwsvzKyCDQV3b8vq6YblcYzNDlhviyeOcTP3vt8+EseUUBjabZ7LC0nUtP/rRj/A+MrpAM2twET58eqaq6uu96vPzM+M4Mp/Pubu74/Pnz9fE4+l0uqI/Hx7kHP3y8sLxeOTt27cYYxjH8fq9s9mM8/nMz/74Z7x7+46yLBmGgbquOR6P117Iy7S/1preez5++kiRFyyXS1arFZvN5ld6JJVS1+uBN2/e0p3PnE4HjocjSsNysZoMvI7D4SAodu/48OED3strX9qMw37PZvtM35+5u7snzzP6vrti1sVIbKdeSoMx5bTOEdFajFbvHV0vNKNEwDuPUmbqvS5JSZKmx8PpuqjovWccHMHHaSBJOr6lbiVNtKN7NpsNSilmsxmHw4HT6URRFCwWc9brNd9++yM+fPh4HTobBsd+d6BpKr755mv6vqPvOp6fn5nNZiyXS4qi4OXlhe+++47lcsnbt2/ZbDYsFssp4XrTTTfddNNvqnEc8ZkFna5VamlKG4LGZhZlplTdF7QeMcSprkxjtKTt1BTY8SHgo2MchSaU5QWZFpJOCBGSJPQ0BpQnKTOtvxuiUlhjZD1gSkb60eGNw9gMg8JqjdUKZTVagzWQTev7CgUeMSav6/5AFIxsphQmzzE2kxowrYVCqiakrFJTKo+prk1el9aCcpRl9Ii28npccCSt0MYKvVEZEkqMVqVAazJtJRCktWyLPMdYw8S8vfoVKZqJBChGbYrypZTCTOdgYw2aKOvnRhMvKUetsFOno2Bd5XeriYyokHt/0sVkDXgvPkvQCh0UYaqXI4rPkgDMhGpNQp1UMUyfAzP1OsrnSKkvHY+XP4ufI0Ph2hhc/FKVhxIXWr5nQl9Of76SrG76N+pmQv4ZJCZkJE0OfVWWZGWOzTKG85k0OIlfTxf1Mmnx5eezLCM4N5lp8uGMF0ywkql+O+1gcUKfaKW4eOcXI7RtW54/f+Zw3DO4ka5tMZMJp1KUzsokkWf5xUkOWEoTVIJ44SfD6AKjjxib4VHS3eSCTF/oDIygZl2QZKQdAs8ve7T5ObvDkU+fN8QkuLPVckVeFGy2O46nM2VREKYbAaUU1mhisowxECc+dN/3GGM4nU7XKYFL4uOSTBFUjZoObJed/ct2vSQ8siwTNGuWXadCY4xXHEunJUlxMTfv7u54uFuTxZHgBn7xy+/49PEDkNhu9gzDQNd2GGspypqirLA2o7CGEKEucvqh57jfYgeHzQr685H2WDN0HVVV08warLXkec45JbwfyFSirEuid4yDIgaPLQVpF2O45MfRKLzzbLd7Tm1PjJFZsyDPS8I4cNgf/0I/7zfddNNNf1WUElir8H7kv/gv/m/8h3//P+SnP/3rV5NKa4tS0DQVKSVmTUOoCtr2iA+Rfmi5f1iT2Zzj8cTp1GJtxug9WWGIKVDkBd6PZNayXM7p+pYYA96PP+hBjgzDMHUHyTmx7zvO7ZksK6nqCmMN3ge0Mcznc4bpeuHS/9S1HYo0YWFLFosZr69bPn78yMPjI0ymYZ7nHA6Hq+H4/fff45z0IJZleb14vizCWWvpuo5xGLDGTuXsXLGt4zAQgnQuXZKVp1NLZg13dw8QI+fzidPphEbT1Cua2ZLRDZzaM33fs98f2O12k+mpMEZR1yU+9FP3U0ZCYW0+9XL11/P6bNYwjKPcxNkMjSZ6T1MVxBhxTtGTprRFZOw7zl0rXVrBT9d4nlznBOcZnUPwspk8z3HEB4/JC87DQNe1rB+eMESGvmfxdolzjtfthnEcMcbQ1DX5u7cM44iPgWEY8U7z8eP3bDfPHM8nlErMF3P2+y2r9Yq6qXh8fGQYhlsS8qabbrrpz0mXLkLnHHXdUJYlbpQalKZppntl6Lszh+OJup5TlhVd1/H6+kLdNBwOO5QB5x15XnB+PaIVJN9R5Zr9YUd7PvDV+iuUNhwOR+4enkjGcO5HAobBB/rtlqIoKArpQnbOXZOHq9WKYZCp/PV6zfG4l0VAuGJDP378yO///u/z05/+lLquOZ/PGGPY7/eAdBM+Pz+jlFAVYowURXH99zzPCSFI4k9LF9Sl5qRpmuv1h1Lqii1drVaM4yjPMyt4WD8xDB3PL59JPlJlNav5Ar++Y7d7nUzCyIf331NU9ZRczLi/X+F95P3771gslng/XjueLkjZ0+lIVVUURY70PEW0TvgwkOUWm9W4UtC5wzDiRkk2dl1H27ayYDtd21yQt5JoCWS5pSxz6rrGe88w9Ubv9/trMtJ7T9M03N3dsdls6NrumpxcLObTeqx0eR4OR9q255e//CVd1wvJKS9o25bj8chyueTx8ZFxHPnuu+8oCsH7f/78mdlsxm53+EvfF2666aabfteUpiqvyS/6Qb2XI8QEWLmf15MhNpmQKUmfoUqQfAI9pQyjIkap1PIhYjKFNgnngvQYIwZiIkkiT2kiEg7SWpMZK2adlUEal0ahKPYtUUFeClkIpQjjSNSCcsUkCSYhSFaV0lQrqFAqkabBnDzPKasatKYbpB4tpCQD0Jc+Q3ECpbZFaaLWhKCJKQJiTF5YiwlNEgeTQJKUo7HolEgqkZTC6gxlNDaX9fakhHQYvJCTjBI6QIoen9JEZrSkGKdzfcJoTWYNKQVc79HWYPICbRQuuun3ihnJVPem0JL2ZDKYA9N7IyErJVtrspfFTPYxoOJk5qbpOsJICpIQJlNUnjPG/Grv48WITL9qQl4MSm3MFfOqf0C+lK06GZITKUHbmwn5p+lmQv4ZJBebEjU+n88U8xoXA6OThSngeqF7+QohTpMYCa0iMQQ5EEyMYOKFRcyVMQz84APPD7qgxKv3Ti6U4zbgYpCpf6PIrJ0OoAkdAyoxsaKnSQDNdTIEEj7KwUQbK1FlQMUkJfNKQZROSB/ABUXCcDi2/P4f/jF/+McfaPuB4+FAXQApcTodUK3BjcMUaddTgjPJ4cBoTIToA2E6Sby8vLDZbOj7nvP5/Cvb75Ig1VoTQ7z+TDJfCmDhi2kZY+R0PLEvdwQvC6xpel/atsU5J3g8dSm+99PjS89mnmd8+vyJ0/lMTPK4s9mMqq4pq4Y8zyElnBtICcoiZ73KGIJGFxVVkTH0LZuXZ6zN6OuKrq0JWksPmFvgDhFcYOhP6JgYuo4UIoTA6XSSg3+WYZSmns8o8hI3Orq2w/vE3eqe5f0Du9dnjrvb9ORNN91005+HjNHoC4okJf7Bf/l/53/3v/3fX/uCnh7fkJCL+O12i/cOm2natkVproMzlwWv+/t7yrICYLt74dyeKPMC50ZBpKbEMHRYayDlU5o/p64bUIrtVhBls9mMRKKfTML5YsFiucDanNGNDONIbi3WGIzR08JZzWJesN+fCSEwn9UYY/n44SPH45EQEzaTjkjpqJTFudPpRFmW174mgGEYaJrmioxLKVHkBXYa/nHOMU6LpUZr+r6nrivO5/OUzmjQSvH6uoEQqeuGp8evGCZkXCRy7s7MFjMeHh44HPYcDntQEIJgcGJ00zl+4Hg8Ya30cWZZhrUasIxuZLN9IQQPEyAlhIAfB2ZlRZ5lgnfxnsHJQmRCQ4wUZU5t6ulnEk0xI/g4Fd0nQvQ4P6JtxuhH1rP7aeFxj3cj4xCoy4YEFIXl7dNbjqcToxs4t2e0UZSlpC6lN9NMprZicD2H457DcY/JM95/+J68yFksFsznc6qq/svbCW666aabfodlM8s4OmI4Y21OjBBjYhilF1km+D390KO1oa5n0/CL5auvvybPc/qh43g88OnzJ8qyJC8K6jInti1hGMkUrBYz8ixjsV5hTYnzgZfXDVW9pJzPKeqG7fMzz8/PpJRYLpfXoaCL1us1IJ3Tq9WKIs/Z7TY456iqisViIejPyXC7JCHn8/lkfK3Y7/dYaynL8opfvVANiqL4FaOxKcor7eDTJ3ltl37J2WzGZrO5dlZqpdi8brHGsFot+Ord17TdicNhz/F4wFi4v38kRs/L6zPzqW7GuZFz2zO6HoXG+YHt7oXMFlP3pZileZ7Rti3b7QYfnFSyTNcESkFVldPicpgGjDzBy2Kz1ob5fHEdZH54eCSEcMXKO+fEfB3PODde6Uh5nrPdbjlPxKSmaej7/tqfWTclp/Ppug2WiwWn04lx6Lm/W/FwrzidznjnOZ1aul5wq0opPn9+ZrGYU9c1q9WKw+HAdrtlPp+z3e5+G7vCTTfddNPvnMpCziVXEzHJvVwIEZUCwYjxlILc5xqlUUajYpQvJOeSpjX6GAIE6ZWUGjBD8JEQB4pCUVUVKkH0QAhEHFEQgmilsEUuXlaKeDdcE4VpeuzoPQGI3pNURGktqUcTsSbHaBk6DiGQohiB2iiMNSgv993aaGQpOeBCICSFNWLtXIzHpNLUIzklB6OkBmOKeOclcOQnUtBkooYLvjbT6KSvqUSlNNpabJ5h8wznHM57UgoYI+ZomrZ9mAJVKUlyMUbpbbQaMi1JUh88USUsmSBVw4RE1Ua21VQzp5JCaQB5vwgw9cZhjMUai73gWjUkAyZ4MV5VRCeF0WYKOCaisB7RiE/hI1NP6A/Si1rM2qsJOW2/FAIqmxC+SgEBEl+8ijQ92E2/VjcT8tdIKUWRZWQafN9x3A9sDzuSUfjgGfsOmxRlllNXFckoUpRIbgxykWwnFBoqyYKn0hJnVpJKTDD1QMZpOkEMMp0uBqgwi1OSKc5+HAgxYDODVQZr9LQjSQSbEK8HgnTBr07/jTHhQsBYizEK7x2JRJZLL0NK0rXoXCSphDLQ9o6+7XjdHQlxQsAGOQh4P3I6n/BB2NIxQVZUkuibdlCxPi8hRjEajwfpXdRaX7uoxlFSIdcE5DRhIuW5MmWitJqmGoS/rbRhHB3t+YQKkcV8RlkWclCPAWs1s7qWhUikPD7GyH674d39gjzPefPmLR8+fGS73aKNRZmMpqlZ392RZQXGZrhBJkCDj1TNgtV8STQ5KisoyozutOdw2FEUFUUpSdCsnvH0dM/bN0+EWcl4OvD62bN7feZ07LB5gUng+pGopPi2ms15uH9geffI4AM2K3FOFnCrsmSPYIBvuummm276zRVjnHoFZQL+H/7Df4hWmv/kP/nfoBTsD2IKutHT1KWYY0ExjgNFkcuQCnA6S0J9sViyXM7lwbXDu44s0wy953DYcdgdOJ3PPNzf0zQzmqqiqWYs5kuizhgHSQb0fY/NMh4eHnh8DLz/8Mof//EvqGvpKW6aRs7fWtN1ck5QwHff7Xh4fKQsFTZTWJ9YrVZoYzgcT2in6bqOoijk76cJvrqur6mAy4LdpZ/KGMGdDf1A256vqYGsLHj9/CymYGYZjz2Z1ejcEoMHJV0OIYUprWGp6gZtcpSBoil43byw3e2pqpLV6o5EpOvOLGZzmZ4MI0U2Y1YJwWG/P+K8o6kb8jxDq0RTlYzO0XYtYz+ASuQ2o+taxk4mKlMCtMIYTVFWMgGZWYq8IIKg6fvIYRA6w2zWCK2nbymaGT44lNF07Yn5ci1DVX3P0HXsD3usNdzdr1k/PPD88sz90wOv21cOhz11XVOWFVXV0HUDL88vNLOKxydJWgzjMPVwHTgedmhtJsTNTTfddNNNv6nGYcSYnKQTp9MJ7wJVWWOUJnhH153F4EKJEXZuOZ6OfP31VzSzmSxEHRPOjSyXCw77PSE4Xj8dGY8HHtd35EXB3d098+WK2WxFXtR0o8NFaIcOFxOPDw/Myx/z4f13vLy8sN/vr9jOy/3wZTA3xshuN7BeLZjPFyjFdK5XgkXtOtq2Y7vdUZYldd2wWKxozz1ff/01h8NhMvg8h8OB+XxOWZYAU5+i4Xg8st3vqcuSuq7ZbjeE4NFaczweKMsSazWZzVBE3OgxmaUfBgbvsUZTlDWPVcnpdGS7e+Xj58/UdcVssSQEz7k7UZZzpsAjJEWRy7XU4XjCHRyzek42JTSN0eS5JfSOrm+FqGQNzgUug0aSdpR0RNNUxMg0zFVfey9TSux2O1CKWdOgjWV0PXVzJ4+rFX3XMzrH6m5Nlue0XcvrhGV9evOE0Ybt9pXHh0eKomC33RFM4OnpkSIvOBwO7A973Dhyt16hjWYYA+dzi5rM0/O5JcsMxmSSqvFOOiunAa+bbrrpppt+MxktA7lJTcGepKY0o5hCistXJIVwTQwCU7WZ/PsF5SqPKUm5qGRY2ceEdw5rM6yRdeWQAkFrqTSLSYxEEpmRAJMfA6MLkqC0lqLIKOsGtAEf0FoxBi9o2KSISKJSJdApkmnpefTRQTSYTBMUBCTwNPrA6CXt6WJCRzmvaKTXMSJhnivO1GhAo1PCoibvQRKHxuRobYgaTJ6hbT4hT8XYzfN8Qr1KQEpIr4kYE6Rw7Ww2Wk8mq7wX0UudXJ5lmMnAkx5Fee9SmMJVJpuQq3whIEZJmpL01B8ZCMHJ4HGM0/tupNtzettDiqSIpBRBKEpKy3O5vOeXurcfGIxcX4+8/+pSAzeRVsP0PQqpftEaUtSE6ImT+Zwuv1GJh6H17V7+T9PNhPw1MtZQVSVVVLTBs9vt2Bz3HNoTPnrKPGdez8hmmhid/JDW0w4UiTHgFASEi+zCKFMMVoG1RB/o3IgJGmMtSUPSUw9lcEQfUClitEKVGVj5d+dG6ZNUkXEcsEZjteDK0PK2WhQ+BEafcD7ggxSpxqwgJjH6BudxTmOznKKsWN/fURQVm+2el5ctsR2IoUdpcH68RqKruqDMLOM44N3IuTuhrSHLS1JyaG0oilzMSR8w2lJYBc4JEi0G1GTUFnlOjAmtxQQNKUrB7mSiKqXQSrjbKkzTEAmcC/TKgUoEH3k5tvQhcrdasZyVnA97/BgprKXILFYbwuh5fX7l5dMz+q//mL/24x+zWN3R9QPntpNujlnF0/0dzXzBODqGviOGyPk8kNkcozSzukRbS+9G3PmVYzvgIszvHoipphsG3lQFq6aiMJpyuaA/HVABXp63uKhIUaOTISqDyXLKpubh6Q33T29o5ksimtlsJETpsdgd9hzOJ8JtwOKmm2666c9Fl+tcuciFGAP/9P/7T/j93/9XPNw/UFUVWiv86Hn/yz3BBx4eH1guF5RVQUwFv/jlL4RKkGUkerohcT6daI896/mCcRxZzxbsdnt00oTec9qdMFgeV48ElzA6R2nLw9Md3ofJDIy8vEjyvchzVktBg55PR/w4TFOLiSzLrtN7s/mK19cdZVlQ1xWnc4vOc4a+Z7aYCxZt+v7nlxe01tzf3+NDwGYZ88Wcl5dXmtlMEnxT57JS0odQlAV5cWYYBnaHPafzCYD5rGFRZsRxkA2qR8Kll8PIpOZ5OOFTIEyDglFrnr76mnEY2Ly+cDgcyaxlvVgxDD3BjxS6wmhN0onVomI5l20w9AMomDUzzHRDNAydJCOCZ+gHUoq057Nsv0L6qLMsm95TQ0hRMPTGMCtLBuVR1jC4cSImKPKyki4QVSBTl7kMlZnISMDUGTNbMLqefe/YDwO2qPAp8Pjua1aPj2w3rxzaM8ZKgvPdV284nY6cz2fePD2AStzfLen7nn6QheWu6/6S94Sbbrrppt9N7bZHqqqmrhR929GeW16en3l8eOD+7o55UbNerviDl99nTB60Yj5viDFwPOyuKNL7+3tO5xNNWUk67nDEpMDufOSxrlmu7snLhjxrKIqG2bLkcDqTFTnntuXjh+8xPrKcLzArMQEPu710Ec7nBO+xVtLyZSmm6PPnVx4fH/DeczyIuRVjZLW8I8RI255xo+PD+0/c3z+wXC7puo6npydOpxPDMLBarei6TnqXF4vr0G9KiVCOHA4HnjfPHPcyEPT4+EhyjqEThPngZNApKc0YIFloXU9Gdk0pqqLg4d3XDH3H5+dPjOPIcj7nfv2W3WaD0ppiMhrLymLnGXfLBw6HA86NVEVJludooyVh8YOvcZQBqQvZ6LLIt1gs5M9KM44O70dZ6K0KRueZLRc453HToqK2OVElmvlCULVJUpX94Bh9IC8qjC0YhoHN9oCxmmY+xznH+uGRZr7k5eWF1+2Ot2/eUc8XZFXFdrNlGAbevP2KYZB07YW8NAzj1Fkli7hF0eC9mM033XTTTTf95ko6iBk04UczayFElErSO2g1KgWiC2hlISSiSugEU4mfrD3HiVyopCs6ksi0ZupUmwy3hM1kcDmpydrUguCMSUu9inPoUR4/aumjtDajKivqK0a1x3lPpjMJSkZQOmGIGII8LaPEGwgRmwy5tgy5YowR349gNMpYRjeQQCrejJWgUwxEIi4FITcmsCaTVCBIh6Uy5NYQVSAzOWVVMiRH1Eoq2wL45CTkZKxsI6DvB2JwE/5WMziHNRqlYOh7YnRkSmOVIVOG3GYSwhoDvYv4GPAxkHTAR8BaFBBUQCWNskaMvAgEWUtQGkGy6gQ6oq1Umznv8GpCpMaEn3oo1USfTClBLnhYSafKe3QhSvoYJqM2YY0WauXU7xkJxKBJ2oCxKK3AO1JIJKUFfavE8PU+EpV8Vow2MtCt3G9nh/i3QDcT8tdqKj0N6topaJTGGoOaFh2t1RIXJk1E4i9IVWPUdWIPpQhESLKYF2MiXopXtST/BFE9pf+CHFCviFKlp4vtHKWZTE9x45WWuLRK06xHUjiXiEmDsmgDRiUiQJSJjxgTwYMfAzE6ivmMp6d3PD295fvv39O2A+25Jy9yskIO0CHKJKRWaZp2MKBgPp/Lv/8gupxQ6CTjAyoFtFITC9rKATzG6bkmvI8oFb+87hQFEXvZ5sZcHzfGCEaS7Rfkq1KGkCCgyMqC5foOYuB82NN3LSpGirygLCu00YzjwGF/ousHyqpmsVzxutlxPB6ZzefcPzxgbcZz94JzAzEksjxnPlvw+PjAcr1kcCPj0OH6nu545tAPvGy3zJdr7p/e8PBwx3Ixx6RIFhO5UqivErvtDuc/cOo6XNtRNnPqoub+/oH5YoXSmr4fQMvBPi8Kdrsdh8MJYyyL5fK3ukfcdNNNN/1OSf3qH3/2s5/xX//X/2/+V//Rf0TbnunaVjCk1qCzDDf2HA+REGrO5yPH/ZbZfMasqfC+5/S6o2875vWctj1ICtAalIosFjXBj7JAeD5zPO958/QGHz1dNxISFEUxpRA1WZbTdWeGwTEMA1rra3fR50/P1HV97Y2WXmTLfu/ZbjtOJ+mKqrKMmBJd12Gt5XQ6sV6vr51Hz8/P5HlOVVVkmaFpGoZhIJt6tC641jzPr9OCdV1fJ/m7ruNwPOLPicxqHh4fSEQOxwN5UVAVFedzx+gGhtFjs4KyqijLgr7vUNrw+PQGP460x5Ng1IcBN46MKOqqoqprzkcZdqrKCqMNXdfRt2LWFUVBZnMyK6jYFOF4PKGNpFXzPMd7zzh6vG+vhuSlUzoG6RKxmRUKQ55NoY1Lt4Z8NoyXbitJbEhfaDaOZK7AuYFh6OgGWbDtxx6lE7PFguVqTXKRzeaVcRxZzGdUdUXbtozjcO2NEiPV8fr6+pfy0b/ppptu+l1XUZSMbuSw31PkObmxrFcLUvC0xyOxLHl/PrF9faW+m5NnBUWRczwerl3HAL/4xS+oqgrnHGVRYo3m2x/9hPZ0Ji9KlMkoyop+HHFBscxLyrIkKwq00VRFzubD89VQq+ua2WzGy8sL282G9Xp9pRMU071f13V8+PCRuq4FC9v3eB/YbndiRq5WhDzgpsqW8/nMbDajKIqrEXbpdbxUoEhHo5Xzn4blcikosehpz2c+fHhPXZbc369JKdKdW7m+KEvcuSe4SD/0JATxnucZMUrPZFbkvHn7jvNZrp02r1uGrpffqS1KadzoGfqRuq5ZTBjZvuvo2pbFei2kAm2JJuGcJyXFOHqMtlRVA0nqVna7I2WZkRf5lGwxkoSIATOh49VU+CkVLoZh7FAqUWUZWS5DRcZa6qah6zqGQQacxnGk63p5TZklth1ZlvHu3VfEGK9d2vP5nIeHR85n6bdumoa6rq8dlRfDt50Gna3NWK1kmOr5+Xaev+mmm276TSWIbi/1VimhmdCkdurzA0gRrS3G2CmZn0jEqbpMSIBiRso9XwzyM+GSjDNW1vy1EA6dd8TgiYC2BkuOtgbljYRtYkLFiI6GgCYmoQYOzk1rAnJ/6fpe0ppKoRViAGpkIGcccGM3eaCJ6D06E1xpTFKlFlOU2rGJIpBnlswaRufp+54hhKniJFHmJWVRYoyRtGCa0ntK0oEhJeJkyjIlJzOtMTabzF1DDJ5x6InBYa2hH8aJvqgIXmpMVPQkYxnDiFGWKq+EPBGiDCOnOFW3GZJykCImAxWUuLFBoZIGItHL+yM1duna8QhKjOIYUZO/kqJUqaQY0RcKUpJ32U3GYPRTctHItUGa7u8VkqCUBGOCeNkuQpIE8VlUElR8UpGkpY3y2iF5CQql6fmmWyfkn6abCflrlJLgNJxLJB8xSlOWBUFHooIyzyjz4gcR5S+9hXq68JWEgiIRr6gz4FoYfzEZv5SfXspW0/V7L/+mtQFlSSHiEa6zMYZpXAJt7LQTaryPUzIyAJpLk6tREJGpPEOS0tkQGfqRrh05n1rOp5aulYtvuXjX5JlmHBNOJWymWU+GWdd1hOhwIYD3klpQE2k5pus2ubCetRYzVUU52HvvUSr+yuu+RKP/5Db58r5MaVHvrzdsLngG5xi9E6ztD372ErnOrCUvcso8J5HYHw74GGi7/mr4LdcrVnd3xJjIDge6vqcfeqq8YT5vWN+tWCzmHE8nzmfD2PeMfUt/atmdeg7HA1VVMvYdQ9dhSMLMdg5tDOu7OwYX0Ns959ExDCM26yccgKABfRgwWUlZVvLaps/KfLGgyG7R7ptuuummvygZY/hH/69/xN/8G3+DH/3oR1RlydB2ZMaSFyVVbkFBez6x2bzQtmdCdGgNZVVgrOXN4wNKwYcPH+j6jtlsRkie83EnF+AMZAWUlUYZT1KOspJOxcPhMHUcaaqqZLlckmWBvu+vgznDMF4XMGXafsBayzCM18XG0+l07Y26IM8v0/dt216TBCD4181mwzAMzGYzlsslCq4dj5fFzPP5PGHiDfP5/NpnNfY97rSnH0Z+8ctfMps1zBdzlJbzVzOrWZiMcYyMLkwdjmICOucgejJjWC6XjH1LKHKGrmdoO46nE/vTkbvHu6kHyuG9v24LpdTUrZyoyooQwpT6kG7Oy2Jrlkk/SNe1DFNv08WMNMZQ1tUV/RajunZbD0Mv1xnT67a2+MHvhizLaFRFSoGuO09DZ5Hz+UTft/jgOB72+N5dcXj7w3EaKkvM5nN5b9ozWZaxXDWkP+mM33TTTTfd9D9IL6+fWS6XhODYbA6slyvu7+7RyNrR4bDj/ffv8d5BaciLnK5ryfOC+XzG+XzieDyglOZ0EvT6dtuyXq/x3pMXBavVUoZ+yorUj+yPR9pecJ9ZWTBfzJg1DQ8PD4INh2lhUIzELMvY7QStWlUV3juapiGlJD3KMVJV1fU+WRKCI1VVAorVaon3gcPxwLgZr52G9/f3EzLUXfHq+/1eEomlLEZmWcbxeOT+7u7a8SzXIYHZvLn+Xjc63rx5y+nc0vfdtWbGWkvfj1xwqXLtUlGWJcfNK1prTqcTfd+zXC6pqup6PSIDPWbqpXQ8f35hNpuhtaY9d9drm8eHp2v3Y4yBopDz8+Gwl6oWLcZtWdVkeSGmpTGo6XElVTlirCJOJmWWZddz+eV9iDFer5OyLGMYxEx0znE8Hnl5eaEsS4qiIKVE3/dX/OvFfJRe7PqKvJWeZ3kt53PL6XSSXvCbbrrpppt+Y/3J9XKlFJnNhLrzg/VkwYte1pzlv5cA0HXdWItxFFMkhERSSvoBSWgr9/+Dc7ipao0USUajydBotDXEICYkwZO8dDC7oSe5kTEFbCZBkxAF0S29k5rgPWNKhCDr6SF6rDUT/lPOXUQx+0Kazr/GYjSYyXy0RpMZgxtH/DDQ9pc1ZmiddEyWZUXy4Tq4M7ESIUaCimgM2lqUMpIo1XqiKCmCd/gYUWnqiVRpSh1GoneSKNSSUvTjKKnFokArLanF6ElqMnxRpBhIEwpXZQmjEpqMFKd6tiQeR0JBjJBkaDhN/ZYAKqWJbBXJjJLQ1YSiTTFKmjQGgvd45+RNj0JEYhoohiTP3ygw4qnI52YiXEYALfQl0kTPitf/F/viAnrlV3yIm/67upmQv07TwSqGQCJirCFPlqRLsNIFmRmLNQaj/80fNFm8kg9vjF/SfmLwyYHPGPMrPGL4UpB6/X8l5a7E9AODTstBLMSpiBdI4KOiGxF3Xjz9accVQ05F4UXn1qKyBNoSfOKP/uCP+IN//QdsD3v6vgelyaZpjWjFZC2KmqenR/79v/0/IYbIv/rX/4pPnz7hQ6AocmLSV060PE85ngcXBLH6J74k8Rmvi64Sexfuc0pSynsxay83C5ftdEGzKGPwKdINPa+vr6jgSa6nspbHx0fWixWZkVLhoiioqpK8tJxOLe/ff6TrBvI85+HhiaaZX9EpddUw9CO77QHLiCZhjSIGR3s8sHv5zH67wQcoc0thYTju+fCLn6NQ7F43zMoSFRxD2wmjWymqpuFOW/TpTDKW+XxOU9cURUFISiY1XSTExOADaMNsPqdpKoxK3HTTTTfd9BejGCOfPn7in/2zf8bf+lt/S5DhVY3ygbY90bdeOpHGHucdY9dhtZyz/OhoTyfOhz1JeZwbmc1r8lwm6k6nnnEcSGmNtYqqztEmst1+xtglo4vkeY7WMI79dA70LJdLVqvFrwwyvTxvr4tfZVmiteb1dUPTNFfsWozxaiBaa68Lg957uq7jdDpdF0DHcWS3E/RcnucsF4vrsM8lNXhJYlwQbxd03Gq1Il8u6LoTLy/P7PYHwdFYjfeBxXJFVclipTUZSUmvZmYNeZYxtCPjOKK4kCICWSGdlF3XcW7PfPj4UdIklfQp2VySmN57mvkM4LpYWDU10Ukfg5kSEjbLCDpgtCEEMXWPxyPtucNYy/F0omhq6kZSnsk5nB+vg06X6w9rLTFGZrOGGKMsJKdAjILb8d6BilibsVisJ2pExpj1aCW9IUppMXVPZ07Hk5iZeSad2cfTrdf+pptuuunPSUVmqcqM1fId0TuePz+z3b5Mi1EwdD0hOuarOSl5zufDdE9bYE+GzXbLfD5nNpvRtu11YMfaFUop3r57x3J1z8ePzwxjIKFpFiucc5O51tO2Cj/0PCzvyKy+GnGfPn3itD2wXC5pZjIIczjumM1m1HUj9SdlzuhGIGIzjfOBr75+y+FwoO87Yowsl0v8MFKWQgPYH3b4MHJ3d0eMntH1gm43YKxiGEf2h467uzv8dJ9dzGY8ZBkxBP74j3/G4XgAlTgrhXeOxVxQ6cZq6kaGfGKU66Kqqui6VkzZPJe+7b6nbhpmsxlmv+f19ZX2c3+9DhGCgaEfBlJKVLOaqplzOp0koWgMTTOb1gES1sp1SAjhOiQ+m9X0Q88wCi3ieDqT5QUPDw9IVVWcFm8ngpOR66vLddTluuYy7BujpEq897RtizGCxp3NZmRZxn6/xxjDMD3ny/WVJCe765rO8Xgkz3Pm8znn83kyweUztd3uGEf/29odbrrpppt+pzS6kcxoUOm6ZlwXJaNzEiqZyD3OedJUt4GawjET0TBeHiwlAoL1DIjRd0nbKS3o1aASOrdTyMUCEvQhhqupmGIEbUjKg1LYXGwXHwMYgy1yVAhUyP17SolxGGT9PSZym8n9fFMTp5qWSCRGGahJQJ5XaKNwIRL8iBs1bpxq1MYe5wbC6KmbGVopSfv3PdZmGJOh7YRYDUlQo9YQnEcrg7FS8zY4oSnkZYHzHh+CJDmTJpEoywJFYhwHtJJrFKs13bmVPxtJcRI9KQhFEGsw1gKRGDwhKVyMmCzH5jna5vJWoGjqBWaquhOvI2G0IoxBDNLpPVBakZLB6ECYej5jcGI8pkDf9UQvvdNN3VAWMoDcjsOEfpVtHHSaqmty0EbSs1bWLUhQ5IXkZ6frBekRnRKkMBkt1wrsm/4U3UzIX6MffnaUUtK9mCzJgMktRZZhUNgpBQlf0ovizk//7yMTDBWlFCGEX/k9P0z2ycX1l9Tg5aJYfnaaOtCalAzSi6CnCQIlONYEIYKyNTEFCO5qPmppiIUgeNRCG3SWSMowoDnuj9cOCVvkFGV2Nf2MVmhlyMucN0+P/PT/z96f9EiWpet62LO63VjnbURGNlWn4b3kJTgSpAk1EkUBgiiAoBpwQAiaUBrwt4g/gtCIlOaUrkiCFCBdUgQhgI1A3uY0VZkVkdG4u7W7W50G39o7IuuegyJYdeqA59qXiPRo3M3NtpvZWut7v/d5//iPuJw7/v7f/28YxwE/TdRNAyRyyoSoyEktDkTtJeNK53mBEOE0lSmF+fFqY1BGk7wnhPwTARJYGoLzL2MMtqpwWvjX/TBwOCkqldk2Dff3D7x5fIUCnj89E7zHW0PTVgzjyOF4xE+RtmBZUYoPHz8u+ZehHH58mOj6jv3+BWcNL8+fOJ0O5DBxf3tP1W5YNS2fnl+4HJ758M6hyWzXWwyZ4dJjjeXu9g6l5c1tu7O4tmW3u+Hh/hG0Zn88SVPSOOoMG2NxdSUTNsYS4/hX8Ey/1rWuda1rzaW14t/9d/9d/uV/+V8mxcjNZkMlkQ+CSwmesR8YpoGmdjS1o+8ufPooeYlZJWL23D8+0LQtx9MZ5yzGOW5XK9p1y/sfP7DZHbl/fMBWLV0vQpc0vgx1XbNeiwtBXI6SNZRz5vZ2x+Ore1LMnC8XXvYvKAST2vUd4yQ4U3ErumXQaUbI5Jy5f7jncrnw6emTCIk3N2w2gp2bvOd4PJJzwvtpcQw2Tb1MHuac6bqOEDzRWjxygHj95g37wwuH40EyHLTlcDywPxxxtmG3u2G1WuOaFV1BtuUYcNZijWXsLwWPqlitxVEZU+LHD++YpolhGBb3xNxAnP/cNI00P8eRMIoD9EsCw7yfqqqK3W63YFozmUt/4dKdOV/EpejqSjKqymBU8pJ/oTSkHEuDWaGNgiRYeOcqhqHH+4kYBbnTNA2vX3+FHyVjuqpFxA3BUzcNnz59oqoqUJnj6URKkaqq/xqf/de61rWu9TenvB857F9YtSPkzHolDsDz5Ujf9YSCRg0pYCL8+P55EaWqquL169eE4IsbUhzwf/hHf0CMkePpzHc/q2jaFbd39/iQuFx6hqcnqrri9u4GYzTtukVleHl5YRpH6rrm7u6Or7/+mtNJzt7n83khDMxUhLquF+oBsFAAXl5eFlfh+/fv+fjx4+LM3GxEuDudTjw/Py/DvKvVCmDBus8D0TJ0rAr6VNb3n//85/zqVz/wst+zXq0wWrM/HDiPnvVmw2q1oq4dMWo6P/H89IS1hlXbMk0jMXjqumLsOjbrNW/evKGqKvb7PVprxnFcHIOr1argyEfqSgZyvfecz2eMMcu/z8PH83q/Xq+5dEFckE2D955hnPB+4vvvv6eqazabLW27IoTAMHR4P9E09UJ4mDHzMcZlqGoYhmWfEcLEZrNBKcVms6FpGs7nc9kPyfd8eXkh57zs087n8+KUnMXUWbzcbDbc3d1xOBx49+79X9tr4lrXuta1/qbUTLzJzC7GjJ8mcaeV92Eo5pwkrrmsMsoYVIn2EqSo/BcVJW+xuCCtFuHNKHFGKhG5VMEpaIGlAgqlxeWulEbpTNayZ8g5FbRnkBg2Z8k5iahHKm5MSvyJI4wF26qVAA3JpJxwukI1jWBkcyb4kjusNdoExmEglgFZlTONE2qj1mLGiTkTYyITxe2oVXFDCnoUrSWWJGcizOoFPkRUzqClP55yJKdEZcVppck4Y8Q0FTykRFPXNFUNKhF8JOWIsRrrDLZyaG2JOeNjhig9fWcEmYuCJCRW0S/IpBREx0CJwzFHROGY72WW7x28iIRhJPtAzpG2MoQiJFcaVPJMfpTHpMRgFMeRnCPZWpKbUNZhqhozO2mVKmhcRZqdjuXr84xsLSjb8oe/8uf+f1/rKkL+hlLyukdRmo9aS1aTkgmG2llUzlg0qWzyZyFSxEj5mHJEa7VMYsQYF1v4LDrOImQIoXxveeLOTbN5Ok9C2YEAIQZSUqQkqFZXNRhtsUmxqVZ4PzENF/x4JIcMORRGcV5edEJchuADRhtWJW8pIyxr66yo/0q+b9vUbNYrSII1Oxxe8NO45C0kH8kxkUMRRrVDl5BglYvhOyW0TjJ58cWLVdC1IkTmch3mazmLj18KtHMTsmkbtLP4aURncXxYUvkcjXUWlSGFyOl45HA8MIU7hnEEDK6SKQdVeNVPTy+Aoq4bun4gkenHkffv37HfP1E7hwKc0WxfveKbb7+jbte8ff+JFAOf9keinzgd92Tvcdrip0BTN7zsj9iqom5b7u/v2dze0rQrVu2KS99zuXQMw8hq07BqV6w2a3GLRrGr+7TM6lzrWte61rX+CiolyTz6d/4v/w7/x3/9/8DYibhIipyOE4OfaMoh4HB8oWlqQoj0XV8ExBWr7QpbOfpBsghd1dJ1e25v18SoWa1vSEnzq1+9R2lH5bYLbjTnvEzn933Pzc0Nd3dbcs48PT2x3x+xtlryGt+8+Wpx9s2YVe8nTucTOWdubm7YbjdLZsSHD594euppGsHIvX//nlPBqq1WK6qCQ3VO8KFdd+F0OjIMAw8PD9zeiiMC5LatNhgyIXiGvuPx1Wvu7u/51dsf0MZijCGEKPfpdOJ8vmBrS1s37DZbpmkgeE+Msn47K4ezlBI+RhQszk5B0AtCdnYfeO+p6oq2aVmtVtze3nI+dAsuLaW0ZG2O47jsqZxzaK2JOXJT3RCyTHmO40h3uTAd9lRVJfsgYL1eU1UtOSemUTB8TtnSGI4oBY+Pr+i6C+fzieeXZ/YvB+7u73i4uwcU1lW4auRyOWOc5Z/623+blCL7/QvayON+enr+63rqX+ta17rW36i6vdkRvKxN85pqrbgYrDNcujO3zS0xJd69e4erq+JEXC3rzeVyYbfb8eGDoF1nt9zN3R1dN3D8s1/IGdw4QohsbrYoBcF7zuce5ww3ux3ZR7qCNf/w4cOyvu92O9q25eXlBe8nXr16zfPzM13XMY6SG9y24pRcrVb88MMPfPz4kc1mw/39PW/fvqXrukVUq+t6Gd6diQhv374l58zDwwMPDw88PT0tg9O3d7eonAQn6j3b9YpvvvmG9+9/hJypm4bzpcfkyFDcFG1b0zQN1kgu5HxWtdaQs13uxywgzsM/87BQ13X0fc/hcFjWaLIM7jw+PkquZFnfU0pst1vqui65mGFZw1XJz3LOChZOaXJWHE8n3v34lrZZy22rhHN2waLPXx9CYLvdLoSqmfLw9PTE5XKh6zoeHh7YbDbknNntdpJjOQw0TcMf/uEfcrlclrxN59yyH5t7OiLwiiPn4eGe3W53FSGvda1rXet3ULMpJWW1DN0M40hdNyig73tZO5sVqgzlztFdKLUQ/BKZrHOh3jiUVly6s5zbmoqEIsQsmE8yBlV65EaMSyoityZOS5OTCFcKhq4jK+njKhSV0iSlcHUFec5tjJi6ol21qKYhhsg4yhl2FkirumZdV8SUOBwOgltFsdpuZQ1ULGYn5yqcNeiiMlZVTciQVREetZKeO1lyD7VCYSVDMSaS0mgjbkkfAk2Jn5umsTgmU8GnJpTKGCt5mOMkYl5TVzKs009CCUJMTdZoKmtQxqKiZDwqZZaMaWMdic8ipEK0lBw8OceikWQRHRMkFQU5mRMmTeToRSTOCa0E8bpqa4IRimTbSB+fGIg5obPgY5MfyTEQoyWHgHZBfp5a9hZaQYpBvrMqpscSvxfSZ7pB/uLXtf7iuoqQv6FyEnHQkUq2AOic8Ijz0WqN0QZSLliXf/zp9mVu0edsRxHQ5o35LLBVVbV83ZcYUrH6KgKBnMuEAhSXXixNrZZ2vWWzuaFZbcG0HE97Pn14S98d0ClRW0tOUd5kUkI5cR5MMdEay2WQKVFVrJPOWhRyiPBBMfkRq2H/8sSf/Mk/4pe//J7T8UgMAVdZfJiIMROLuOiMJWUkvLe8gc5C43xtfnK9y2MVZO1njNyXLO/52nyJr8050zYN5EiaAgq4vbvjdrvFGEvXdZBhSoHBTxJafzyjtWKz2S1o23EMXC7PXC49u+0Nm/UWsiKGTPAjl/OZ4+nIdrVis17hKktb1ZI1aQ2Ns2xXrTzGZo1VihQ8uqnY7raFTQ7aWJp2zWq9xllLipHj8cjp0pUcDk27WtGuVuSsMK4CHekvRy7ny1/Jc/1a17rWta41DwApFIr/8r/4L/lH/+gf8XB7C9PI0F0Es9U29H1P3/egFKdjx3qz5puvv2O327HebpliQBlD5SpSlnXr6dMFPymmUdFfIin23N01KJ14fhKsuVKqNOkCIcikPST6/sLj4yOPj/clH2pNVVnJnewv3N7e8s03X3E8nr5Auc4Hm0Bdi5PxdDphjPoCcxb56qtXAJzPZ47HiYeHBx4fb/nw4Ym6dtS1ZEZtNveM48Avf/kLcXe0LUpl+qFjt93R1BXjNHLuLqzXK37+B3/I09NHpskTgsdZAyQRBrvEUFW0bUtlDX4qzgeVqSq3uBhnQkTKmaTAe5lorVctN/d3dJ1kLF0uFw7nE5WrqKYJV3Au1toFv9r1HZv1RvYYSbIxrDVUtiKrTCzTlOv1mmEc6QZpgI6j7Btm0XPG0oY4LXu6uq6p65pxHKiqhs1GUdct4zjQdR3/4OM/om1btts1xjisrUgpkmLGWMvr128YhoHL5YJS1+35ta51rWv9Lur56YmqCEPH4xEfAuv1eslMrqqK8+XC7mbHH/3xH/Hw+LhEhMzuOKMN3//wPc45NptNyVVMNPWKfhwJIfH8cgTEFZ9zZnd7w/l0IkTP06dPGKVYtSvu7sTBCPD999/z8eN7VqsVX3/9NdvtWhCt5yNKZbwf8R5OpwPrdUtKgf3+RNvWX2Qaal69ekApxcvLC/f3D9zf3+L9yDiOrNeSWax1w2q14v379+z3zxhjuLt/pB8GYorsthtSTpxOJ+qmYr3Z8Cq94uPHj0ylx6G1JoSpOCgtq1Ur/ValuFxEmBPnIIswmXNm6joAjLWcLxfatuW2ODfP57Ng1y8dowkl61IIEOv1GmsNLy8vSyMZ5j5AJMQJWxmstTJoVNeEFPFTZMuGJjRM08T5ciz9BzBGnJjzwBeAL27YL2kUd3d3rFYN4zjy4cMH3r9/XzK63TKUPg+Qr0qkyoySnd2Tfd9zOp2Ypqk4Tyd+9au3Sx/kWte61rWu9dvVZ4qgYE2D9zhjfxL5JSTChFXFqYiSmLCUPotGKpOL6Ugbg7JCMTDGLGKl0opERhu9fJ1SmqSkd22UElGvDOWoghBNKOk/u4qYMueuo2kq2mqNQS3ny5RhmoJQD4EQZThZKzEz5ZJ/KE5LgzEWV0sEC0oTkzgdtRaiT06Grh+JKVG3K1mXcyYpha0qEpkpJIwTVyTl8fgYQFsZjlWamMXVaZTFWEsInpwlosT7EescKsXyGDLaSAwKiA4QYiTGBFZ9vt4pkXL6Scwc5WeilMIoMTGhMt4HyCI2qqyxWhGS4HKV0sQg6HVBtCaCF2R67RxawXA5L7fbp1A0Ds2mbogxonNE1Y6U9BInR4qoGFEpolMkZVA6om0lTtQiYocgw9JJwEgLSfOKY/3L69rl+E2VEzkJjlPljEqAFhU/KyXTeYQvsK2izC9fvuQifs4xXAJzS4Ntzg+YM4fmQ8W8OV6CdEOWAFwlKLDynkaICVMZ6mbFw+Nrvvnu57x+/S3Z1Pzww/eEqePy8l4aeSSc9ADJSsJztbKYpPCDJ/iJaRwkN8FatJKpCaM1AUWOifPhTHfq+fGHjxyPJ7ruwnrVULctvrgBUvKkpDC1wyhFiKmE95ar9Gsu0LmJF6MgzpLPpDL5OF+vX7+ec7bmbLEPwZNTxGp5w3m4u+Nnb74m+JG3P/5YeNqRkKMsLFrjymOTxcXw/CyHHFA8PLzmqzdvuBkmmqcnnp4+cul6EkF41cYyTp7379/jY2S92eAD3N3e8LpuoWrIaIxx5KyIEYypWG+2tOst7WpN0nA6nemHgfO5Yxg92Rhu7l9T1RWpTE2mnPDBczhfODy//B6e+Ne61rWu9U9uSeMRvv/he/7D//A/5H/2L/xPSONAipHVdktK0kwy1vL46itu727Z7naSsaAVxlQ83r1mnLwcerTidDpTVRs22xvW61u6S6Cu1uy2D0wh4KoVIfgFUzZN09KE+/HHH1FK0XVdwXu+5uXlhaqqeHiQ5uM0TRyPR3a7HV3XsdvtpOHqPUopfvWrX3F/f19yBwX/tlqtlozFGU3mvedwOFC7O+7v7xYnwExhuLm5oa5FWPv+++/ZbDZst1uOpxOQ0c6QJ83T8zNN07DdbjkcjmWwaMRPvjQYnSDXTmeMZhnEinESPEtxQFgn7kyd9ReUCfl8773kV97csNlsRGjsOk6XM6YQImRgUqGL0/PSnZe9h9Gy9isFkx/JGrQ2WGdoTYMrmRHDOND1PeM4Mo6S62mMxXu/YN1mx4w4ImUq1xhHXSuMkYGvrut49+4Dk58kl2K9QhvD4SC43pubHe1qjXOHv54n/rWuda1r/Q2r0+EEpSlWVTXWVvT9ACgeX7/m22++FTR3irSrFc5V1E0NKMlPcpbj4YSfIt988x1ts2IcPtI2LV9/8y3jONF3A65qSRG6TtaKTx8/oo0GlejOR8I08ur+FdvtjufnZ8mBXK+5v7/neDzy9u1bHh4eZPi5ZB/Ogth+v2e9XjNNE+/evVvW1qqqFtfjTAoYBvn+q9WKGCP7/X5x/yml+O677/j+++9FSBxFfDudzkzTSOUcMUUOhwO9c1SVLcM1I0pB33Xc3t6yalsZ/jmfMdYImhxFU1eQE30/MA4KrS113eCMIZa1UVuDQhGTOFFW6zV109A0DUM/MAw9/dDJ+gxYK9nOMQb6oQwVTxNKZXY3a4axo+s6nKswzuFKU9I6V1wbE13XE0JgHHv2+704I4Hn5+eSQ50WrOqMnweWAaN5f7Hf7zkcDqzXa7bb7ZL/2DQN9/f3WGsXbPwsRt7e3i6Y+HEcy+DUhfN1qPha17rWtX7rkvOWIaOX/jLeyxpQYtAEpyl5j5//Q5rpCUJOKCPRY1oV3GeI1JUjJnFOKiWEPRDzkBBYJQpNZY1WBpWFCJhCJMcofWYtJEOVpfeejWRDTj7QNo2cf+uanClY8VGyB8sArjVWDEvaMIVAQGGdo12vadZb6lWLMZZhnAgpoo1DOyuZlFkLdhVwtWQuhiyUIW0tpIxSk9ARrfQCxFWoyCqJQ5ISoZaV4FGNwVW1OCANZA8hZUiRmDKqDHD5mIhxImuNcRVZebSzpKzk+2stl7+YvrSKRGUkvk1r0OKSBNCqmKRIqJyJIZBjRNniUFQlL9IaTP5MktRGELxGa3HBpkQMot00TSPZnTFCDBATOUZ5XpThqhQC0zBgU0ZXjYicupio9KxPFIljloAUBad5VSH/srqKkP+tKpEzYmETELCEuIK8AACnTZlqy6T0eYpgZlGjPjv8fr2BNucIzJlNcw7kjDWZhTitZMMecyTmIDznjLwxJnnxjz7ifSKmDFoCbvtLxzj06CyIFKMyOUoAr3UWa2sShjpD5TQxapQWHrO1FmcMoLDaUFcN4zhxOp45HS8opWmaWiY6lSLFSOUsOSt8kFdkiIEYokyEZOF0yzX4QlhMeXmzCCEWa3TJ4bT2J9fOGLNMEM4Li/eeFCPGKLTTGBSVdaxWKw77gef9C9M44Zw4I9qqIoTIel2VvI01Wms+fXoSwbS8za03W25uLFVVc+l7qq6jbhoeXn9FW1dczif6szRoY0Lcje0K17QkrQlo6rolhExMipubOx5evaFuW5Q2XLqOrhsIPvDhw0d8iGxv7/De8/TpGWWPPH71hqoW+3vKmXPf/d6e+de61rWu9U9a5Zwl5N5a2rbl7/29v8c/93f+Gf72H/0h1hjWm42sacA4Tjy++or1ZkNVN+QsWLC6bsjZUDfVHBfAx497nG1ZtTu6fsLYBusanp6PpBRpVjWrVcPd3R3W2oUaMLs3TqfT0pB8+/Ytm82Ovu9Zr9e8evWKlBLr9XrBlf3yl79ccqSGYQBgHAfquvlJtvLs9phxaVprLpcLv/rVe6qqYrVaSXNwGBYhFAX39/fl61XB29UF23rAGoWrDIePH7jZrLm9vaWqaj78+IHn5zm/0uCsw1lHCNK0G8eRqnZY53DWEErO8zCOGCt7BmstVVUtw0hd36PLXqEpgupqteJ8OAqlIvjSsJyR+EqyOcpAkw8GbQ1N2+BTwIcJH1gmHC+XHmMN2+2G3W677M8Oh9OSSzXvUWbxWPZxefncnBMow2q9YbXeFJT9nk+fnqE4P1PO/Pj+w5Jzea1rXeta1/rtS6Np2obd7S1toRicLhe2Nzvu7u9pmhatFWsj8SOr1WpZKypXF+HpzN3tA6t2w+XScXt7j9aaX/zyl6zXG1arLat2jXMVKcoAqbWGt+9+4Je//AV1I3nBn95/koxg7/nw4QNfffUVXddxc3NTXPBqQXs2TbPsBY7HIzHGRbT03i8RLXMDFlhyCd++fUvbtoujcBY2D4cDd3d33N/fCxWhEANijPzy+3eQM7c3t+z3LxijefPmK16/fs35fOb5+Rk/jZxPJ9q2ZbNeScN0GDhdTtR1RdPWNHXFNA74acLHEf8F0WgewDZWzsBjyces65rVZo3RCkWW3kEUFF3sIrvdDSF4fBjEdZKkP7I/jDRtswilwzTiqqoMPUVQstfZbFY4VxOjDA/P13J2Nc4C4efB5lCGu4alDzNnbSqleP/+/YK/VUotWZAPDw+0bUtd1xyPx2WIaxact9stIQT2+wPn85/9db0krnWta13rb0xp9bkvPJ9ns9akmGTYBcq5V2iC5OJqLNmQucSnqSxBhEmlMsCasdqRkyfETFZGMhMBpZ0cE6VtDFnuRw4SfWaURluNNbYIl8IWrdqGpBLn7sIwDoyjx5ZzeNOsMMYzjgMhJGKQXn9tZSA2kRmnQBw9Vd3IAE/b0jQtiYzFkIIvLknBhNZNC1YMTtraz5hTKwSBEBMqarSS+5pMcQJqI87KnGSgd3F+KrS1OMqlzB5lDGRNIoGWa2SqmqxV0SXAaINxCmUNU/CEKWKdLppBFLE0Z0yWn0+BMpJTQusiwSiEYhQhBun9KzLW5HLNRS9RmGXfAwW9biybzQZjDP3lUihLEg0Xgyf4SAxxGVLWzomYGRNTGHAJGlOBzeU5J87NrBRap1krLQKm9A+UuhIP/rK6ipC/oVRRwTVplswggSphtEaVgNLScMpFOBOnn7xoQZyL84ZZblctU3EhhCVDYG46Cv5rXLKMlFLorPF+wkdfwmMBNDEGhmFkDHsOx4G3P36kXf03hKR4+vCOT+9+SfZH7jYO1TZAIquZV01hWWec06xWFVUlb9IhFQxsTIQkkxCNa3GmJkXFNIqo2bYNIKG/MUUq62ibBuMT50vPNEWylkNUnDy+5CNoLQuFIM3ksCCPFaw2ksVZLPMzjm2+dr/+USuFzmAT2KzIPnI6yFSpKmG/MSfCNIDWuFzz6vaWb77+ls1mW96ULKvVlj/90z8lhghZkWLG1hW2bmjWG7YhYI3m9v6Rti6h9NsdwziJ00JrpnHkeDqjqwpT1ThbUddrXLXi9euveHj9BqUMYwicu45xGjmdT2itaWqHMZbT6cwYAto5bN3w8PjIervh5m7k6enjX/nz/lrXuta1/kmtuZnnvSf4wKgHTueOb7/7+SJcHU9nhr6nXW9ZbXYoY2TwRimcMSQ0wU9sakF/Ho9HhqFjd7Nmt5Mm1NB3GGvZrNc8Pz8xDIGq1vig6fozxhjJpVo3/LP/7D/D4Xjgw4cPTNPEx0+SJfTw8IC1lufnT/R9j3MVw9CVf7vj06dPrNfrBTF7uYjbYUbM5RxJKTCOMvXvXEVdt1gj057v3r3j6fljERErIKOBcRw5hglUQhtxSijtuL27o24qLpcj3o+gFP00EvfPkKQZfHOz5Xg4M3bjInBqFE1VUTuHT5INCWYRRWOM+FhwZtPE5H2ZoMz0fU9d1xhrySnRDwOX85nKyNSryZL7pcgonZhGGf7KJPJ8aFBwPB3RzqDnhm5B7zgnudZfCrdfNiSnacIYw2q1YrvdygBZSHgfFuS+UnDpzmXozEgDd7MlxsDxeKCbM0fJXC4dl8vVIXGta13rWr+L+qf/1t9BaYX3gdFPDMPE3d0jN7c3VE0tTbgkjcibmxuCl7NejJIr9f7HT2w2W958/Ybz+cRh/57vvvuO27tb/vTP/5QpJPQ0kdE4H1D5c7zKH/3RHxec6CeCD/SD4Ly//fZbQgj0vcRwTNOIUor9/oWbmx2fPn3COYtz0qpp2wbvJ96/P7PbzdmIPdM0Li5HyaYW8sGnT5/Y71948+YNOSecq1BKUKQfP35gs9mw2+3YH8/YumKz22Ks4nQ88vLygi3uxudnySeuKnEZ5mGi6y5FxFuhFDhnRFyLflkPjdEY06B8XIgBxpiF9gQsJANjzCJmxrEnplD6LwljJJur789lODsUwoEipcjkI4fjXoa/qgbrHH3foZRBKb30VmTQWXIkHx4eCv71QlVVrNdr1us1IYTP9yNGjDFYqxfawSw4Oue4u7tbMiNnmtXlclkIFXVd/2SI+sOHD9R1veD05h7Gta51rWtd67erfhjQZIytFjQ3xjJOEyHEIvA1GGfwcdG4AIoAKUaYlBMajVMyDGucEvwnIjpFCY8sqM4SMabkc0QfEHekUxpldWGOZmKItM2KkEI5zwrRsK5qmmYFUW5TaV3WPMQFqWQoRxmHsRajJBptmiaSj+LOi5kxCCpUu4raVQtlwBiLqSoqbwhFl8jMREeD1gadQWuL0bLmK6WJKaKVkiiZFMloqroWJyGCvcVIDmaKEeMarNUk7wS7mjMYi3ZOomH8SFYa45yQE2YTFSXDWUu2I1lEySRsXHRSi/iorCZHjcrF9BU9YQokH8g2o7XBOEeMoptkCtqVTEhgjBI1J8MUEuPomULCaSfXOiVxhYoFEq00WhtCllgYZWT/oHNeng9KKyFLao1SqaB51eKkzNdUyL+0riLkf6sqYhyislOynVIGgwhgKUZ8mEWyWYik/PnzO92XaNEvFfp5khFYnJLA0mSb8yi8R8Jwc0YZedLXTUPMmhAil+7Ex6cXvJf8ozD1qDRwu9JUlUWrLMGrKZCUgZQIMZByllwFQ8GHAiEChpQUOUTI0NQt7aplt7uldh8ZpxFtFNqKSy8j10ZptXCXV+sV7XpLHxP5cGQ6nZbrt7gE0pcvUhFHdblWv+4e/RLRKgcEcUXYlDFAU9W0TcM4DPzw/fdstutiidbElHDWkBTc3d/z+PjIer0BhOfcNA1tu2IYBoZh4Onpma7rOZ7P+BjBWEIMPO0PbFcNtTOsN1uMHRmHCT8FYkr4mGjqira4ROt6hbYNU4icTmeGydP1PcfzgdPpSNddqKuaulmjrGUomZoJmLxnnEbcVEFWtKvVX8WT/FrXuta1roUMvRgtLr2UBW/2b/2f/y3+d//av0YInnfvfmQKkRAzdbPCWEeIMrJntCEk8N3Aat0wTQN93/P23VtAcXd3g7GKp+cXUImmcaQU2GzXbHZrLpczh8NhaWC+vLywXq+X+7bb7cp9jCWbKUhGZclW9F5Qp/v9nr7v2Ww2C5YtlBysOYNpFs6mSfKdJOMoLA27/tAt+LfT6fR5rS0HvK7rmDOPmrolpsylG7i9v+Xh8Z6np/eMw4CfBmm8xUSYBIuuNDhTkVLicDwwTQO2OE/RLANaSivquqZpW2w0hBCW+zujWedMyHkCVg4DMAy9BMh/kSUd+iBODC2Zn3JGkQEyVzdMMUieRUpUdU3dNIQQSN6jyuDU3GAMIZZG64xhFSeks9VCsRARVXCv1pmS7wmQF/pF09T0fYcPHu8nLmVC81rXuta1rvXbl7jPe/YvB6YYaJqW16++wsdA8Im6bcgpczydWK+2gKC0/+E//G+YJs/j4wN3d/d8/CDDPl9//R3O1ez3R7795jt8ikyTZ5q8dDdTljVJg75Iw+/bb77ll7/8BZvthoeHBz58+FDOnO0y1HI+n/nxxx+5vb1d/r6u62WYRQaV1dI7+Jz5nJbz8fF4pKoqGZL1nv1+T0qJu7u7RfQD2Vvc3N6yXq943u+5v7/nq6++whWK0Ol4ZLVqsdZw2O8XcpNQBxzkxMcPH4gpstmsqStHTpL37CfZT2x3W7R1TJNfxLhZ6BNEarfgTqU3krBkJj9CIUnNjsRc1kydFZmIQpOJNE0NqqYfBhFPK8dmu8UYjQ8TMSWslYzpuq6XXEljZBhoxqlWVbVcxxlv+zlD0nyRKSbiZF3XfPXVVwyD7PHmoXFjDOfzmaenJ4CF3PT556cX+sS1rnWta13rt6++61Ap4qpE0zQyfPKFWWWmBszZjSI1lezGBbWq5hY0KiNiU1IMXY+tHFZbYkik4NFaHIFWG6wxEMRwRBbsp86qZBvK4EzKSYg3MTIME/00glGs12uaZk30Qc6aKZOTQitbEKqWGEKhLIrIZpVCZyWCYBbTECFJTmXJicyFUoS2DN6L0SdnrAXrHFabBSObknyd0ZqcMspYSGk5J6co18QUMmImkYtgOmddGiM5kZCxrpLPilE0BGUwVuLPlNJkrdGuglQy7lBYW5EiaGvR2hYHoYiRKUYhJCg5y0uGZ8SPowjMxqLRJBXJKWGsaDOS3ynrLUUoHKepmFYz1lm5Xkh0izG5PGekn6OMRRmhO9qsC4EhkUPA2LToO7OLVpvielRKRO6cSfkqQv5ldd0B/YYSB12WyYc0ZxcaaWylTDZmeYFMkxflXEv2kFaq2JTFdThjz+Zf8yZ4RoxKkK6EtmplMNZhQwZCCaOtCSmhYySmCMqANhil8VPAT5Fx9FzOHefLhbHvqa1mu3as2hrnNCGGEgILiUQOiRQlsyrHUJziiqTAGitvCkXOV0pze3vDq1evi1ui5uPHD4QUqBrHMAxcuq4E6E7ESEHLPbK7e+T50jFGsZ+P4yjXNRZBVUvAbIyREEuT0pQ3xHJwgc+b+flaGiNOiXa1olEalSK7raDf/NTxtH9CGzlQGKUwzrFeixV7GiTDI2e4nDu6vi+HucjxcOTjh48cDge22y1TjGAtwXuG7sJzijze3fHV61c0uzW1soQAl7NMRG62W+rVitvbB9rNjpQVw9jzsj9wOv8jXl4OnIeOpi1W+rrl7vaRpl0zxkjlA0lphhCYxoH9y55L1xGjXzIyrnWta13rWr+D+gv2iCknckySW4TkB/yf/s1/k3/j3/g3UEZzOVyWdTClXCbnRZS0zpJT5Hw5olSm63oOhxceH1/hKkvXnYGMc4bVSnKnnp/PvDxP7HY7Vu2a8+UCObHbbanqWtYWazDa0bYNf/gHK07HE/v9ntVqhVKaw+HAbrfjcJA8wbZtl7xEyUsSzOc4jvSd5C1KHpIm5Sj5UUkcFYJhbei6jtvbG2KMvH37bmlwtm3LNE189dVXnE5nmaY0Mjk6DhN9nKirhlW74nTcM3QDzlrqtsHYIM6NpHAlF/JwkOZlCIHd3Y7tdkfOiUvXLTjWqhI8nrX2c9aD1tze3UmmA4BSxBAI3qOsIxuLtZIDFmNkHHohVoDka6cZ9S58ic16xc3NFu8DwzQyTYO4K6wRZ4iSXKoQxI0x35bWGm1MyX+WvQ2AMXZpDleu/slQldbyfY2pP1MzUmS3u+X+/vGv6tl+rWtd61r/RNXpdCT4wDAO2Mrx1Zs3pJTp+4HJe7YZ2nZF5WouF0GEvn/v+fTpiW+//YabmxtOpyNDGdZ5fHxgHEculwtZZdbbjeRMdiMgw0JC+ulRZZ2p64avv/6Wy7nj/fsPfP311xyPR1JK1HXN8/MLVeW4vb1FKcXj46Pcfs7c3t4uWYSzCNb3PU1To40uuG9IKRTc7MDj4yNVVS3oUe8l+3EcR7799jtSyljnCCEL3nWaeH6aJINZr/CT53Q6sdtu2Gy2hCIkbpvNsqb5yeO7iXEYqKuK25sb/GrN+XyUISVtiBGME9rTl4LpLLTO5/r5/E0OWOuom6YMFI+L87JumkWYJGdUFMJDVdWs1ht2W08/jngfcK6mKs5LpWSASQRNXb6mYo6FaVsZ5B5HyWquqlpcDTlRVfVCY4glw6ppGsG7ObeImfPgUdd1tG3L8SjXYB6oWq1W8nybxkWQvNa1rnWta/32VYxzgMR+xZwIfio9d1MGSTJKZxHLytBLzuJeVElivOYov5QS4zCRiLjWUNcrrHXoyRNCxhjH0Hs0QkVMSqFE0VsQopSzni2Dr92lQztDVTVMKeFjwPvE6XyR9Qwl5iYjkWjTNIkIWGJFlNLU1goOVQk+dY40y4hRaAxBSEFKk5Im+kkyJJMgRo11VDFjK8m9TllEWK3lNnOSWBYUWFeTsuBWrZPsyKzzIh4qjYwCxZLUWGJOtLZoB/10YcoBgximjNJMhYg4p9zlJANFEu/W4qoKa1whEQmpcRgvpGRQKjFNI9M4QI7iIq2gqpoy/JtLvGckGwCNzuCsw+REd75goqZyFVXbioFs9GjjyDoVfG2eSaqEDEobdAJrNWjZa8UQ0DGALmJnGU7SRkTY/IU4OesX1/rH6ypC/obKaGI29HHCJKiNRkWFUbo0KTNJgyrWYhHgPPi8MKCFA61wtv6cbYjCaC05imRSzIQoWJH5CZsxZGXJgE+JvhtIKKasSUlRO8l1yiljlCKHCVKiqSwq1rQ5o4m01rFqVrhaE+NAyJlsZVOusOSgSAG0dvLiKjZmZ628oFIuSJiK9aZlta6pmgbtND4HQhypEhjtqetM6iZm82fOcpspJ6YQ8TEREow+lOlEuwi3IO/XVmls/izYymRIKk0/vQiQ8ySoMYbNeo1TMPU9u7sdr9685unTe9KnjNWa1llMilTGsasaxslzejnwQcmb8OV8ph96tBYk3HazYugv7A/PxOTZ7Xasm5o+Z4KS/E2tDVXdYquGfjwxpkREmtHbu3u2N6/Z7O6lMZkSKSQO3Zmn9+/ZH05gLNvtls16R7tZc/fwCh8C/aXDWE1lLForceKQ6M4nyApX1X89L4ZrXeta1/onpHKeIRoiKCngv/iv/nP+/j/4r1m1LU1t2WxWGB1RRB7ubtDGMXQT4+hJOXE8HYjZczgcMMaRUuT5+Ynb2/uC95LhpPV6XUQ1zTRGLt2R29tbrHUcDmdubyvubl8xjAN+yhyP4nC8u70n58w4jqSYePXw+ifZUuM0onIgxx7vZf0MRKx23NzcMk2jTGimwPl0ZhoHUpL8wsfHR6w2eB94CRN13dJUDmtbnBPh9c3rrxn6kcrIn7vhAglC9GitqJwlTJFVuyN4uHQXXIhsNxvapuG4PzDFibqt+fn9zzmdTnz48IHjUR7/drtltVoLLUFl+nGg63uy0tw9viKGwMdPn8hhXLI61+s13nvOpxNW7SQ3OwZizGir2N3sGPp+cXVUzsqwE5GEhxwZhxE/TmQFlTXkMBEiBA+VrbB1hbEVISg5ixmZjgxeDlMxBXKWgbUYMylFrJWhKmcs3vslYyNnLfmjrsYYTYgRZStiuqLarnWta13rd1EvL+9JMfLweEtV11SVwdiK15sN0+Tph4G+HzmdTvTDiU+fPhJjZHezQ5tEiAPWKbRK3N3ds1o1KAU3NzcYZ3l+emG73fHq/oHzWWgGf/iHf4hzjvPlRExw6Sa0qXn1eMMwDlwuPY8Pr+n6nratFzRrSommqXl+fi7ODcMwTGhtuLm5IwRPCF6Evv5MSjK8/PBwx3q9ZhwDObHkEVrruL9/4HK5lOzKNaeTDFEd9ie0NvgYMUrhrMGPkmfVuIYhX7gcLmw2G17dP7Ivjsiqqthut7Rty4cPHzidTkxjYLutcbbGuZr7e8U0TTLME4TQsF6veXl5kT1LSjJ0tVot4p3kQzrImXGc8CFTt2usqzkdjwQvomBTxEhtLZEo2VqnC8ZonKtpbUPfCYEhhSxUA1dJPwG10Apm4kBMEHzCWTlf+ymSofQmMilRGpwKicGJWOuoKrOIop8jYwxNs+L29p6+7zkcDpxOJ7bbLTc3acm+7vueaboSD651rWtd67ctWzdgDGNMVMYUr7zGukIaVCVSw2hs7YgpFQOOONi00YJyNSKNjONIDGJEslT4IEQ9Y1yJWEuQAlZldIoQAipJ9Jr3I8YqJu9leKaqUVkTEeHNWMtmcyOo2BiYUkKlRFNVqATTOKEBZwzZKLKO9CHgg8dES2U1WEGmqhTQOAiJoIOYmGQ0tpimEkY5tK1FtwASGmUtU0yCkTXihBTCQBnscY1gWxU0lcS1qBxRMS9ZiEopFAlrNKRACoJwddbhh4TBEn2U+DUnjkMh1+aFGiA5nNDUFa5yIvoZRSqCX8oRVCblQFmIMVl0E+scdVXjXENGkynic0pYY4jFLKacRL8NCiqtxbmqjWg4SuGzDDSrQkxMOYKEuZFjIuUsMS1OMPNYTRb2rsTGKRlqijmXXExFznIlrbpKbX9ZXa/Mb6iMkjeyYtFOSn3hbBTk1zxFkJUu/m1Djh4fPCHKpl5e0sVZWSbptHMFSyp/54O4AHPBvfoQGKdiz86Qsiq2XkdVW+qmQULTfcGoGmyIVHVN6ypy3ZCjx7rPuDFjKwmNLRtppaxwq5W8sGaxT0oabMZYPk8NyhvzVBBwfdeRsqeuBBFTWQsNqCmSyhTKx08f+fhy4FM3cTxfZLJDa1QRZGexcUGVwOIShc8IE1Wu/fz7uWY8m7JW3JOuom5bbu7uCOPA4/09tbWcDkdq61hVDWM38uPbd3z6+FxwqTL1kXLiZz/7GXd3tyid+fDhAyk23N3dsF5tZDIijLhdzavXr7m7f8C6in7ypPOAj+BjxkdQ2pKSkmyrFIh+IviBcexo24rd7SOv33zN7u6eZrNhipHj5Sz5EraSn3WGdWnENjESk7hur3Wta13rWr/f+v777/m//92/y7/0L/3PSSnx6qtHmlVFip6+v5CSIvgyJEhmHAdGPxT0lqDDL5cLMWROpxN3d3fEGNnv9wt1oGkaJu85Ho6sVivWqzV9Pyy48O++/U6anMcDfhyo65qqqn7ifpwxoNIoKzkYRgTFcZyYJpnMb5qa3W5HCDI4NI4Dl3HAT56PHz7RNs2CsLHG0DRNQZaB9yPn8wmlFE2zwk8BZwz91NN1nSDm9ao08TQ3N+J6uFzOnM4XhnFks17RXS70QyfDNtby8PjAMIycL2cuXcfNzY66rsVZWJB1IYSliTnjYgGGYRAcqnO0qxXdsS9uAwMqkbMixFxQL4kYA1Mo+ZA50qwM1gkGxo8TYfLL8JNzDoVkQw3jiNIWpesyYVuwMSkuTotZzJ3Rtt5HpjEWMrxBKytYujCh0HgfiTHLQJvRJXnzWte61rWu9dvWy/6J7XbHdrtmtd5wvlxoVwrfebphQGtH15/pup6Ue4yFzUaQnufzkRA8fd/z8PBIu2pEWAxJXHNOpvD7rsdZR9M0xBh59+4dX331FV+t3xQHvaBTOy/o8RgGDocj682apmk5HPZMk+f29obdbrsIfiFEjsczpkSw7HZbcdORuVwk3qTvO56eUhHxWtp2RcqRuq5ZrQTz3rbN57XZWGJM1JXjdO7o+o71ag05kWJit91igNubW87nE+fTGTLsdjd8+vSRYRwEP28s292Ouqn58OEjKWceHu5xTogLKE3V1DCJc1Jyj2Gz2SwY09lROMesxDjn12hihuwD0QesrQrG1eOT4M9M5WhWNXXdEqPkQ4+Dx1rLarUi5yxr9iB7JWOMNCszpChxNOI0SUtvprDaCmJNLVmdSqllKFp6L9OCp58HpkP4jH/XWtO2Lc45drsdx+NR4mrK4Fld19fs52td61rX+h2UqyzOOsbJE2LEIGhPlEZpKyKSMWhriEoGTDKmID5LT1mb4oYDYyqSU+icyrCoIEBnRGnOkcpZVOl1p9GTo5wr/dShdGbysawHGW0sIRZBLitsVdx+QyIGcVSG4Mk+0F96UghsC7nPWoPLFm3EfahyxBhVeueJ4D06FaiTkcElpTVGSfyYFZYqqWgWpgizISUW6+dcShSLJS+z5B/KH1JxKH5ZZcEklT/p5fNVyaRcIucyIgBaOReL8JkWzLvKzIBc+XYkIJWcShYRmWTRKIyWx5oy8tiUJiuFwsrP0mRQhqyN5FcaB7MAqSxoUKa4J5UuOoBoPyV2conjQ4sTMpWAylyupeSDynNoIa9m+d+cZXmtv7iuIuRvqvLmodBQXigxycFDaXnxpJwFk6rsslGdsxFjjKQovGij1eKEVLPXt+RJzmixlEQgjOX3Smusc2QUwxDQqqJZW9pWwuCnacQ5FoEw5xMgL/KqbSEGUvYoJbkIzghnOuUEQkEGJW5Na+WQlDPLRjtHcSZS7OCXS8cwSAPzdDgyjSPayDVy1lE5R4gdWme0kkNC33d045lzhBhTmexUS37CLCjO+U6zADmLjvDTLM25ZqzZNE1cuo7kKgww9COXc0/wCW0dISVcVlhXsdvdcX97T0yKbvi03Kaxks+gtGa9XvPVm9f0Q8f79z+SyaxWLYlIiBPGGh4e73h89Yr1dsM4BpSy2KphvTEF65oIQQ5cMQZM4Vhba/GTp24d63XLZrvGWM04DhxOF07n03JgAcU4ebz3pJwFX6cMXXc9tFzrWte61u+zJCY58R//J/8J/8P/0f+A+/s7fvjVDzjneHx4JISM92B1zXq9ZbVZ8XKRoZk3b95wf3/PdrvjF7/4JR8/PHE4HMg5471M0N/d3ZGyOB5AmnR1U3O+nMWRsdvh/cTL/oWcM3d3N9TuFVprPn78iPceYwzv379f3AUhBC6XC7e3t0tGxn6/J4SAtSKCffz4kXEcaZqG9XrHdntH33ccDgfGwXMJPc9Pe9brNev1ms1mwzQFjNF03WXBoocYCNGjdKZunDRZU+DSSf5SVQlG9uFBEHOn05Hjfr8Im5OfhHJgDOvNGuss4zhyOp/ph0H2OEb9JPdRGrShZFlWy77idDqRc2a33pET4jxMEVMOo6763PAMk1/2XsPgCWe5H66qUGgufSfDYfTUTS3o25zpxxHnNElHUsmKUBqcE7HXWo1zQpOYxpFhGEnznrDQLuYBtKZpiEkw9PMpJl4RLte61rWu9TupjEzSv333lruHB4Z+4nQ5k7JGG8d3337HMHR4P3Jzu+bV60dePb5mv9/z53/+C969e0fTNOz3e06nMzc3N9R1w/Pznt3uBq01d3e3XC4XXl5e+Pbbb9nv95zPZ5yTPMJ56Mgoy5/8yZ9gjGGcBi4fzrx69QrvZRhov9+jtWK32/H+/Qe6y8B6vRUB0WW+//5XaA3393dUrmKahjIUnTmfLzw/79kUKsDt7R2rVcP5ImhQyKxWa7RWDEPHOE7UbQtI9uM0CVqVnGkqx3a3xVWO0+HIhw8fGMcR6wwpZybvwXsR21Yrbm5vmKaJl73sF+aBYWvtMoA9n9tnxOyc5zyv4c65RaiEgjlX4tr4cpA7JbmtOAqBwTi37EWEMhEYhoG7uzvatuV0OtF1HavVShqPSQalU5Kh3pwz290GECxs3/fl/B5RKi/DRHPPYkbCT9OE937pW1hrF/zq7I6cHZKr1YrL5UJfSAy/3tO41rWuda1r/XerylasVy05d5/PdzGI+ERGaQVGo6wpwpHGKAQvCsWco8RQhMI4hdJCPYwpEn0iJ49zVvICE1TOQQz4ocOPEyqKoNhdjkAmZdBWhE7ravk7D16BtUrEweKc1GSiV6TJMw0DcfIoEm3blr550SBiAJUkL1IZYhYDjWJ2F4LSgg/NAEkGi7RSKFNyFcsa/I+XKhrkF315+Ekv/i/4koIpFdUuKQRHqhRKGyEAOSfXPWUMFqNF58gpkbQM++QsGZIqlz8rcY5movi7lMEoUEYwt0lptJUHG1HEJH+nlEGrJOKzUfJz1wZlK2wFRhkwFrQVFaQwfLU25bGkJR80I7mggmjVi4Ap8SlquTYSB1PsZvN1zXnJ3LzWX1xXEfI3VEaRE6KAl+DRnLOEvxatP82ZhSr9hS/qEAJaQUpm+XdjzJLR4L3Hx0CMSbIQtSnIEBEXxRGoqWvDerXh/uGOtl1xOZ/YH14wRoSzYeh49+NbzucTpEyN5BctobU5lJwicTimlFCIgAbqs2g6C6IlUDUMcbnfx/MJ773Ymr0vkwxATCj7WUDUOsvQgMkyBVFl6qhQ8QuxFZaN/SzOzhv8efM+HzhmcXK+/vPfgbgfyJlUr6ms4XA4U9mPKBLTOHA+ntmuVtS2hjuLqWo2N3f8c6+/ZnezQyk4nU+QM+vNirq2pCRTJpvNCkXieHgmxEjXd4J62ayp24ZE5ny5cDh1DFNkvd6ibENKmdP5xDiNcvBLAedccVAoxmHgdD7THPb4lz370xlT1bi65vb2lvuHR/phZHh6pu96qrrBWIfSWRqV17rWta51rd9rtW3N6XTkP/1P/z/8q//q/5bVql0EuKqqqSpL3418+PgW/z5ibObx1SMPD4JoU0rW6vSYuLnd0TYrrJXcB8lPqpgDKn/88S13d4JX67qJp6ePixg5r5frtqVuah5f3eMqw/F4YrvbcDofeHoWYXK32+HDyOHDizQmNy03t9uy1me0ulvypcZxwmjHdlOjcGzWK4ah4+npiePxzH5/5Hg88/r1qyICjqQUmaaBTMZoyX2SQ5MjBI/3quRlyv5DXJmO9XrL0HWLE6JtW0DW85wzdV1jrV0QbZOfuL2/I4RQmqnS1Ht4eCCltDQNQdykSikRNgGUTCqmHAkxUVuHMQrnDContJa93jiOiyPDTxMoxc12xxTFeTl0PZfzpWB7xE2idcmAyGlpjlrrygEmFgKFoqoMyWtCVoQU8AUFF0LA+4DSQrqYSRTe+9/zs/ta17rWtf5mVruq2N3ekBJYa2hWFSFIM+7Tp/ccDi9YV/FHf/wHrFaOcRp5enpimiZWqxVN0/L69WtyhsPhyDAMGG2pnONwPDCOI0pn1us1qsv88vs/Z7VacTi+oJSsLf2wpW1W1K7lm2+/Zr9/4XQaUAr+5E/+ISEEfvazn1HXkuN4d3fHZrOhbdekCHd3d4zjwKtXr9nvXxjHwGol6+btjWG73XA8Hnh++cTz8ydOpwPj2BPjK5qm4unpGWsNw0uPMVrWWKcwSnGz2zBNE1OORQh9kSzoFMkpUTU1Siv2hwO3dzeFThDp+37JSKxrQZnObsvNZsPpdGL0o+RMrlZLlvQ0TRyPR5xzkkX9hUA5DxgBi5DpqorTMHzuMRSHQkix9Dlk31RV1eJK7Pued+/eLfdFKA7SA5npS1/2FqZp+olwChSKwcgwDD8RG8WROf2Fg9LzGi5DZvJ58+Or68/5klcR8lrXuta1fjfV2IZV1TIOE2QIPhJIRKWIWuG0IiqFLW65PCNFv7CqpQQC4lRo49AaVE4QJLZEZcRypxI5JqxT+BAI00CeJmIMjH3PcDnK2c85GtOgCjbVOEtIkbEfySlgnSOGiRwGYgYfIyplnNM4U+HHDkXEOCuWOqXJXtyLVimMlcEbQZjqYqgRbKwik3MgJS9nfTRaCWFQ/i0uQptgUtViiMxK/Igiv7GIbTMV8ie/kPUv69k6KAJi1mqJq8NoIhmtJB8652J4SjJ4qzKEyRN1EOFOK5IqrkOgMuJCVNagtSWphNKJrAxBFVdiuQ9COpqFxSSRaAp0BosV2qLWIkJqg9FW6ERaqJUhfRYhY9FCNBmUEB/RGmXEYZuziJ8iUs4CNiKkUoxU6dqz/8vqKkL+hsp5NtSCUmJ7zkqTZ1ZwYhHrUgpz/3DZxBpjSDEwh7jPm1PnnLwIyot4dkbOAlyIkYSgXVNOxKio3Jb1esfrV29o25aXMo3RNBWPjw+MY8849YQwErxfuM0og86u4L2iCPXJk5O81cpfQAhF2MtgyotR3vMKlzklfJDHqJSmqWpq57AG2qbGWMkvdNaRKkNMnilElM5Yq1EJIC3XYT5szIeA+U1j3qzPmU3zweTzzyT/ZPOeUmIaPU4HjDZ0/cjz/khlFBBQKdMNE7k27A9ncjK4ynG3WdOuWoah57DfM/mRyd9Q1xXPz090lxOPjw/4aeRwfCFEaTIaoxmGjsNxj7EV3eDJSlHVLevNLcZOjNOIMeI4vVxOnI9HmkbQbdYaxskzDIKtC1kOqHebHdubG5TSdF1HLIKtKROXfd/hg9j+r3Wta13rWr/fuvQjdWX4j/6f/y/+xf/Zv8DTi4TPb7c7QDbH1lSQDTFnmlXLNI28e/d2adhNk8f7wP39Aw/3D2ht6LqOvh+Y/Gd86jSNVJWjqhz3998u2UI5p4Ia29JdzoSLx3tplP7sZ99xuVxo24bD4cD5fF4m9W9vb+WANA5MU8krDIlp8nzzzbcYY3FO8itiSDTNGq0Mm80tztWM48DLyzPH44GPH9/z8PDAZrtmvVlxPB4Zx1FcBioS4ihrnbE0TU1dVyglDsHj8YjWhrZteHz1iv3+hX4YMAX7yuwyKOt8VdeCpz2e8DHQNM1PsqFl6EkmLeea9w/jMCzkhZwzMQRyyuj804lOVQ6jq3ZNiDJc5awg2mNMjMNYnKAb9ofD4mS49B1VXdM0NZWryxBkIicFWuH9RE5QVY66coScMNpIA7eg6cZpWgTIyU/Lz2sYhr+GZ/i1rnWta/3Nq49Pz7wcj6zaNfvDHlfVwjjSMjTbNA7rLJ8+vaeqZS1KMXO5XNhstvzT//TfYr/fU9cNxlj2+z3TNPHw8MCHT58W2sBms2G32/H09MTlcqGqqgXFOY6joNOPe16/ekXbNmy3G/b7F3LelSzJPW/evKFpZM2dvGfVbhmHgffv3/P111+jtWKz2TKO4oDU2mItGONo2zVvasv79yIG/upXv+J4PHJ3d8tqtWIYBi6XS8GUr6mqhqG/kHNLzpm2aWibhr7vl89r6hpnLTe3d+xfXrh0F9AKrfSCdculuahDoB8HpidfcpQ0JhtccSoCSwRL27ZLz8OX7Ky5dzL/PkYRQfkiykaGn4uQqCAl6cHMoqJzbhlEmoeY+r6nbVtu7+4Y++4n+wXBqWe8n5b9gtaq4G8Vzq0Wh+Pci5j3c/NA9ZzNPY6yV3DOLT2gpmkAlizNeZCq7/vf62vgWte61rX+plYInqEfmIYJ7SxZiyglcWZCMso6kqL0xZXWlCQN5l54JlOSPzCzqJTBmgplXEGHRmKIkCM5BVL0kAKaQIoTYezQSbIXK6uprEFIigFrHEYr+phIfiCrjIoBUolp06IPtFWNAk7HEyFOhOSxtZACMpEUIfmJSincEleWioiYySlAjoIWDR6DwSiF0ZpUHKFaqQI7VZ+vwYwzXa4JJUdS1r38a+Lj548l9oS0uCBFK0GIj4jL0ShFZRwxlsTFopsoNDkFYiyCp5JMyBkVG5Mha03WWoTgkv+YUkYZCllSEKyzUzHnVDQMQ1YiwirzWSCU50BGaTFL6ZIFalJEF0JvTuLCzJ/FHflY9jJCY02fyY36c29BCdP9C7DttX69riLkb6h5AkApJa++jLCAC/44kherbYqf8VmmbJCVUsKeLiLkLKwZY3B1JcG4xQE4256V1uQYlim6GCVLaL2qSSljjMO5iqaWA8zNzZav3rxmGDo+fHzL5XIkeI+/9OQYgIQxovjLjIeGrMnZk7McJEARp1hwaKVpV178iRkhW+zNSmOtI8ZQNupQOcHVxhBQOZf8K1AqlhxLXdwI5U2t5C/MguJ8sAAW4XH+/ZdC5Bxk++t4VjmAyGFkHCdSCjijMDqzaVsuw4T3iUs38Pyy5/HVK+4f7njZv7Df7/nw8T3TNHI6HXDOMo49282Gb775hmHoGcaO4+lYpkEST58+0Pc91rasN3fc3z+w3d3SNjuenuU2ZTol4YPnfD6RUmS1WhX0rS0fNW2zYrXdsrm5pW5XnE4nTucLm+2Otm3pJk/wnq7vGadAVX0+PF3rWte61rV+P6UU+BDRJvF/+7v/Pv/6v/6/J+csmG0faeoVDw+vsbZi6EdsJW6DYRgYx5Guu3A6nanrFshYZwheiAh1XdOsDJdzxzD0nM8n2rZempFNU5PztkzkT0yTiFnzNP7xKLg15xwPDw8YY9jtdqSU6LqO41HQcG3blgadgaxwzvHhw8eCQqvwk2QTrlcbFIKet8aw3W5ZrVb0fcf79+84HA+87J+5vb0hhKm4HxXWqkJ5CIBs7rfrbaEviHux63pOpzPT1Mn9aVsul4s0Qdu2uAzLxKbWrNZrXFXxsn/mfD5jreXx8XFxkfZ9/4+h3JVS1LYq/y7YOQU46z5nP5WaJzz9FGhacSqEGNFGrnHTd4J4i5HddseqXTGMPf3YMw4dl/MJYzRN09I0NR5pRFbOFnJBIqYAS25kLIjaiqqpiCHho1/cKT4ETqfjX8Mz/FrXuta1/ubVz/7g5xJTUjVcLhd2ux33j68LUjNgrTj4j8cjMQcO+wPT5GmaZhGRmqbhdDrTNC0PDw8cDyeengStvlqtFndgSonNZoNSir7vWa/l32ZMp/eej58+sFqtuLnZcbkIjvX+/o79fs/T0xNdd+b+4R7fj2hlpaFZVTw9PS3nSK0lo1jiO0QY22w2TN7wzTffcD5f+NWvfuByOTOOPZvNRgZe72/Z7bZCGJgGardiGgfa9vNjaJqaGBLH45Hj6UT0ntubO25ub9kf9wsiva5rnHMyYJ0Sddtw//DAx48f+eHtr9jtdjw+3i+Y1L4XPPuXouScqzgMwyIaxhgXElTKmUhc1nbBm4pYqbJGZVWQsnC5XJavX6/XGGPkHN11goE/n2hXq2WYSURH9wVpSZySQjYISy9iFhR9IUBZa7m/v2ccx5/8XVXJnmPOv/wyQ7Ku62WAae5lXOta17rWtX77Op/ODF3H4D0bt5WBj6wEW6o1SakiYAExlWFUjc5zjJoilV59CQUGJUjVyjis0eQsg7zS70+kEMUhiRB1Uo6kMFE5Q85QO4u1Bp8F06qUxKKk7GQgFjAqoXLGGYOxlqaqaesaMsQQOF/O+BBwqsJYGfiJKRJDACUYUaN0IfgVcWzGhwLkAGh0TsVclElqUTc+C47qs8KoSu//J07IxZJVSn3+kBFnKZhy6T7flgi7iRQmsBalHSrO11g+02gI4ur6bPLKqmgOorkkE8EYcsqzQ4yYE3p2aBaXYi4DUjELTlcyJFMZnFJlqAmSMmjkZ4ytJO8RRDzNuWiyhtld9qWUqJQMoC/i7ExEWDQhtTw2xTVa5S+rqwj5G8pah6trlJcGEinjg8domZwX1bu8iZnPwtrsblyaYmRi+CzCee+JOS2TczJpIPmMddNgycUJYIpz0HPpjrx9m5mmHqUla9E5Q9fdcb7suXRn3r9/zzj1EvZa3vRC9CIWWiXWciW3W1fiNsgyZIgx8qYwC4QohTIy6bjkNsKSvZRClCkBnVAzMztGeXNWwmFW5Q0xxlhGKFjyGowxywZ/vm5f4lbnHIW/SIjUy+TH5+mMcZzkTbmtUUqaf0YVQVQbujBAVnT9gLKG3dOWnCPn81nY1DlzOOxp6grnLNZppuHCNHSczyfCNIhLY9USw8jLi6eq12w2N7x+/Yrbu1dMPjOFyDiN1JWirh1v3rxBlduv6pqsNdYJbm69XnP78ApTNSRkkayqihBHUkpst1v0MDIUd0RV1WzW69/fC+Ba17rWta4FiKNtmgIpwffff884et68+Yqbmx19P2G0JcbEqWDGrKtAJZq2Wlz/gu0wnM8njscjr1+/pl3VVFWNNpbT6ShuipsNP75/ByrTjA3r9bpkGwaMVTy/fKIqjdOUAnUt3+N8PuKcIYRpWV9XK8ldvL294YcffuByubDd7koTrqZy0lytqopvv/mOECLDMHA+Hbi/v8OYlskP3N7eMk0jX3/9Nf3Qc7mcOZ/PMgD14T0Pj3es1xtiDKzaDZCZppFp8mzWG0AxTQPGKHa7DR8/XjidToQQljyo8/kMsAwnLVOFSnFzc7M4OV5eXpahri9dFPP+JMZIZWTYZ7fbCZ6t6/CTpxvHBbcWw+dGo5sPcGUP4r0MAAGs12tCCLwcD9KkbVvW2zU+evq+L83FqRwEzYKpk5+PISdPmsRZmXMSDAxGcjo06ATaaZQ22KCZxuv2/FrXuta1fhfVrDd8/eYN3gfuHl/hJ18w4ZG6rtlu10zTxHa75uWwp25qjLHUdc35fOaHH37g5uamCIe3vHv3rqxP4sC4XM7LgGld11wul5KFmHj37h1tu2K1agnBc3OzZb/f45zl+XlkmkbatuFyGbi7v6WqHO/eRd69e8vNza2c+ZWmrlu893z4+CN/5+/8HcaxJqXEfr/n9vaWtm2JMVDVTs6nVc13330nSNRx5P3790BmGDtS+grvJ5yrUElhlOZy8ii1QynNNPlyZhVR7XLp+fHjR6zV7HY3nM7HRZTruu4nOHWtZc09n8/knHl+fl5QqPO/z67M2TEIUNf1cu1mZGvOGWcs/dihYBH7Zqdj8BO5fN85X3m1WrHf7zkej1RVVXC6Iib3fU8s92N2N877Bhkm8z/JrZz7DHO/4su/m92U88dpEkrRl6Lw7MKcponz+bzsT+CnNIZrXeta17rWf/fyPpCSLoO2K7LR1NaRtVrwmyhFShmnTckbFmFqrpSiuANjEuck8u+6bnGVJUZFHDqJ3TCKED3Bjxit0FnTh4mcAm3Top3FNQ1RZfw4EnNmzRatFW1Tk7wYk+I4kWIgqESzklgxUsQaw812zTD2+DBhjKKqxVAUmZiGkVAMS3XTUjctMch5NcZA8EEEvZzROuM1mIKnzUaDDWhXHIBafaY+zsSCYuzRmUVYM4ggqHJGa1VETU1IoLLIkWKsYhFBY3GF5qIt+GnC6AzFAVqXAWitwE+eKUZiSsD89RmVEtYaERMBCk42xoRxRSDWhlhEz5wVxlRoa4ikIijq4pDMEOU+il6jSVqT0WK6UqrQLWf3oxZnZxGmM0I0SsUtqQstMsaAzfIcUsV1KlftWn9ZXbscv6mUQiF2bq0U2hgo1uQUIyTBQ6NYpvRylqfyLEIqY0SEKgiSWTgL5YU2TxnEFEk5ooNMPVprMbYCpQgx0V96hr5jv/9EP1zo+wtV5bi53aFUoh86vJ8Ef1ZV6JAEEVuU+RQzKX6eZlDK/ARnNmdeyuSeBKpqLbmSKCUY7HnyIc8u6RLCmiX4NicJaM3GLIzpXF7MIWRCcYvOGBbv/U9C6Odr9uV1mkVH+Ixi/Ys276lc43maI+dMVCLmamdJQZqK/TjiTkfef/gg0xdhIgaP1mCdoa4rHh/vWLWCqRG35DPWWeq6pTaGpnJcLiOX456XdsP20we0sUw+MQwj63XLzaYl5UAIa9Sbr5gmwbSO3mOtwTkJxU1JRNzT5UK73nB7e4uxHdMk10YbWVSNczTNirZM5V7rWte61rV+fzWOHmOl8finf/bn/Hv/3n/A//p/869w6ToqJ0Ii2aC0bFj3L3v6QZBmlauXZlbTtNzc3JIzHI97YpSGVlW33N/fM00Tw9CX/Mck7vjTkVevXlHXNfv9XvDe6GWop65rmqZZRDlgEePmIR/nLF999RVdJ/mJkp0kh526duLyf/6A1obNZoNzN+Sc6HpxESilyn3rZJ18eMTf3HA8HjidDhwPR/q+p64brKm4XDq01mw2O8apx0+Cpm+alhAi9w93HA4Hur5j8pPcfzLPL8+LgLderzHWkslURtwTVVUBnweUZmdjjJHD4bAIkgYRD5umEXKD0dzc7IgFdzqOIznOiHhP0IYYLMYKqsdZhzGGcZoY+pFMpq5qYhAcT9dfMEbT1g3rdrU0HIP3TOOED57L6Uzd1FS2QmVN5Sq0MXK40wnnKtI0oXXJlQyRGAM5X3MkrnWta13rd1HD6PnVux8x2rLbbumHgfu7ey6XMy8ve86nM8HLGqGdONq2m6aIaRemyS/Y9L4fWK/XXC4d3//yB75685oYI/v9C845Xr16xWrV8uHDB7bbLXVdlSEVcci/vMjnzY6Lqqo4Ho+gMiF4co7c3t5Q147j8YRC07Yrcg4olVmtan744Zc8PDxijGGzWZNSZL+XAR7vB06nM13Xsdmsef36K87nE8YYjsc94zjy/fff8/XXb4jec5kEkb5er+m7yxJD07YrhmGkXbX4EHl5eWEKoLRinKYFwV4V2oOxlrppSGU9nsU/pfKyT5nP/U9PT8va3TQNNzc3i3O0qiratl2QsNMwigBZ9jLWWnSmuCQTrpZ4m/nzbUG7N00jWc5FcKyqStysl1PpPQxLXuP8b7NDc95baK1ZrzfLcLYxZkGvwmdy00zE2O12i9sTWO6Hc24ZbJpv+5r7fK1rXetav5uyVUXlLNpafAgoLE1jSUphnKNqWzIZP3lICYUiK6ERxigf84xgLUhuXcTKkAMqZDIJ6wxK1xgViX4kI8jSGGQY1pR4kLppsG1NN03EnPEl0sxVlQh/UeJBog9kEiobjJLeefSR6AOTD2glw6neBxFatTgam6ZZ3PQheNQodABnZChm7D0+CPFQKTlPGqPQ1hGLhmGdK2vVbDRSqGK4yrn082fnoRJxVheTUU5yPVIWAdJoK0JjkEgXlaFyFTkVwxKyho8pYkmEaSL4gEd4uXHyjENP1oa6qrB1RYiRYZwIKRKjJQQRPmMsOcshkKxhBELswTrqZoU2kucYQ0ZbgzaWECPGWFmzEZRuiFEen57RrHKtjTGoLIKqKlTIX49wsVquvVYiPH5JcVzyNUV9/at+6v/3tq4i5G+o+c1F3MoaZRRmxnTETFRJ2MplYn/eoJK+CCtHnHpfYkczEl6ekcwElRVZZVKIS+6AtRZTbMnaalwlm+zuMnA+HxjHAecskxen3jAO3NxsqetHcsqEMJVA1GKtTpTGVlHnlWBHjFElU6kqKJlc0Kvi9tTaAAqdskwUIEKmLhcoU5yMJbshLS/E2YoNPgUmn5iCvBEKTsYsaBLgH8OxzgLmlx/hc1D9lzmRS5U3i5yTCLoobOVo2oYcE2qQN6Ypeg7HPc7opeFXVw5nNLd3O968eU30Iy/PH+i7E3EaMYCpMlYrLJBjoL90fPrwIyFEnl+eGceItpbvvv0ZqMTpeKLve1ZrmaIJB482GtAYI3zqED1TJ7mWVSMHrBACT09PuLphd3eHtW5xTtZ19bt7gl/rWte61rX+W5Ws24mmqZn8xL//H/xH/PP/43+ev/W3/hbjOPH0/ELwiZSyUBQqyTtyztGFC+MgzoN5qOb+/g5d8O7eB5p2xTSNS56jZAtZ2rblfD7z9u1bNpsNVeWWplj7axiyudlljFkcBoJdmwjBl4yqLVX1SEqJ4/HE5HsZPMoZYzPT5DkcnthsNgQfMEYTgl+apo+P8rVzs/D25o7nlydeXj5grOF4PGH0hdVqRQiBy+XIMHQFjbYmxAnvJ4YpYJ3j4fFxcRoMw8C5NBKN95gilgKolKjrmqqqhGAQI7e3t2y328WNWNf18vOa+o7n56cFu6aVIgaPVbpgzTOX05kQgnyPlJjGCTUVhI+SrAxd7pvSIiIqpwg5UDeOYRyYxpF5n9U2DTEmKlsxTSNd1/Py9EKMgcfbB1IMaCP7MTkoSUYoChJZsqBzwphrjsS1rnWta/0uandziwJenveczxdC8BwPJzabteC8naA/D8ejOPLallW7LkhPy+XSkVJit9threPl5YUPHz4WN6DgyI3R7Pd7chYc63a74XQ6stvt2GzWy7pe2WrBnlorqPOu6zidDyiVSUnQna9eveLx8ZGXlz0pBS7dQAiBm5tbukvP27c/FJd/lDNvKkSgGNlsbtluRdhzlaWuG9p2RUqRtn3Fp08f+fjxE99+8w3TRZp3XXdBqYHdzS2+DO12XSdY8qbh4fGRuq44nY7knBmGQQamnVtEw3lIeLvbMU0Tz8/PPD7c0bYtIQROpxMpJdq2XVymXdctKHljzLJ3mYXMsR84HY80db0MVs3CIkZz3p+p25ZUom3mIaS5Seu9XzC4goIVQkLOFVorLpcLXXfhcNizWq3YbgXll7MMFWttFgERWIRUYBE3Zwxvzrl8rQx0z1/365mX899d61rXuta1fgdlNaaqUVoxBRHvasSRZ7QpjkfBzigl590UAnGm7yFoU6USGLvEjWkjOoBPCaXBVBaVgJQJgxdTUs4EH0hZ1sOcM0ortLYoLWKfMQZbiQAYvCeVyBJrK8IUIGZSSCQVhTSYMzFE6cErXfIHi0CJoqoczjmmacJPEzklrFmRYiB5Twyj9OULljQHT4oi0upiLIIv8g5zJhVB0JTrI4Gaaf5EUAm0lsdfyIkpJax2KG1RRHGQBhHvrHHi1ozFmJWTZFzGQJgmUkyolIjeE0MiR3m8lXNUVcUYPNM0EnIgZU/KSsTB6GUoyU8ErckhEhOYKpG1JTkjzsYkQ1PG2Z8IiUpL9uWs8aScJDOSYq5SCqsUOfglki/PhEelIIHWRZMglYElsxAcZzkX9WsI22v9pK4i5G+oGEU4q7KIX+SEUlrU8sIzTjmRoryIzRf4MJhFSEUu4t0sQqacFqHNOQdaY2JCm0jfD/gQ6KcRM05l0iFjbMRVMq3RtBZtKkCaWKlMSM5TfN57VAroRbybnYQKa91njGlWxXIcl+m/BTvyG66NLhMTMclm2wdPQhyRMUGIenlxhyBps7MQW9c11tqf5GTOm/Uvsavzx1mgnK/pr5fRGqtF2KPwrrUxNLXDVhbtNIGIshrtJGPi3F9wxoh9PUfIDaap0cVGrSvHetXgp4YcJozWGJUJfU8fZIojx8DluOd0OvKrX31PjIpXX73hZ9++IaXI4bCn7ztUwbPknPHThDayeNzc3NCut4wh4RrY3tyyXq85HM9M3jNMnvVuJ8zv8rNM8eqQuNa1rnWt33dp7bDGMI5TQak985/9Z/9fHh9fs16vWa1WrNoNXTdireHH9z9we3uzuCaUBmNlLf7++1/y7t07qqri/v4BpTJ9f+H+/h5rNTmLQ2CaJpwzfP31V3z69Im3b39YxMXXj1+x378sk/xKwTgOjOOwOAZmTJu1hvP5TN/3GGOWJt7Dwy39MHA8HPj0/AnnrPyyNZ8+nclZyAV+8uUaaMbRs1qtAMXz8x6A+7tHHh7u+PjxA2RxJf744480TSN4Eq14/foVdWMIYcRVhpAMIVCGoFxxTW4kF9EL5vTl5YWmadhsNkv2pXOu5FP2PD8/45ysp/PXzXi1Uavigoz0fc8wyX5KJdlv1FXN3d3d0hy1BR8zEyLkgJJl4jNnYmkcGmvQ1mCMo6rkjOYL4WBGvgmOxlJVLVXVYIzmtH8hZyE7uGZ2rgZsVct0Z0qEHIqTcvg9P7uvda1rXetvZp3OPbe3N9w/PDIM4mQ8HU48Px94eLjnbnfD27dvUcw5gYpPnz5xPB5p2xV3d/d0XUfOmdVqhfee9WrNmzdfczjtiwgpa+zHjx95+/Ytd3d33N3d8fLywjiO7HY7Ygz4rHh6+kQqQzW73ZamrYlpJXlTSYaU+76jbRseHm45Hg+Mo2DIp2nEGAsouveSUZnTTA0ykC0xwGa7xvuJ86mjqiyr1Zqf//wP+OUvf8Ht7R3j1POnf/pn3G425JTYbLbc3j2gSNTWkoCqrhjHCWMNm+2OnDN3d3c4Z5c1er/fE0IQwbA4D+frIdfkgrXy+7quMcYsdIbZJSiPt+d0OrFerxeCw4xRrZyj77oSbyP9B2NkHe6nzyhUKAPe5ec0C4JfYldjViVbW3oPdV0v973rOs7ns+zlyrB0jHFBrg7D8DmyBhZhce7teO9/kjc9P2ZrLYfD4SeuyS8Hpq51rWtd61q/RVmLrUXs0yljnGPyEee0OO68ZCbWlaOyhuAnphDEpacUThlQuYhTCZU/R4JhCo5TI4JgkPf+mIvYhBKzkdZYXYMy+CjuPp8SxtVUqxZlHWgjzjk0SlmMSVjjJO5tmMB/1gaqyuAHiVhzTpDhMQhqVcVIVgrvR2IMOGfQGvpeBpIVUFeWGDPGWowBlRNaZbRRKG0KYjQDiZzEvTebokSAjFCc+1BQrRmYPyb5PBEYC5I1F0wrQMzkEMkhoa0u9L+MNSWuTWuMUpDkftW1Q1mxX4UwiVtz1kAMaJ0hRvnZRI8hk6cRU0FdtWSlCH2PnxLteo1CkO2VlZ/7WBDvhSmLMQqjDWpZstOcHFeIEMVYNVMYs7hjcyqiJBBLPqXWmvKMKdc0oyiC7rX+wrqKkL+hfIhM40RViXsh+Ygpm1+MhqSZiqqfUqIq0w4KPoeek4nlyTgLfSnmgmzjC8ap/MoFixqTTDBksmRQ6oR1UGNAOaxTZQIys9ttQcGqXQGQiZj5ZmcsrNKAKc7Gzy+KXLjPM/5r3lDH/FkEjDGSvnAeFsN2+fpMLBN/ScufQwz4IPdPJgQj8DmEfd64/7rDcW7+zbf764LjT3Igy0etNcZqOeRoLVhVa1ita252G5pGNvpTNxGiIG/HKZCCRpdcic/huYHn/RPWwsPdDXd3N5A8vu8hgkqZy/lEyhcSCo3Bp8wwBXzMONegiaQ4cTqdOBwOnI4HuvOpHIQmLsPIZnvzeeLTWZTVqCAHkxktt91uiTGxXq2xlSDcjDE/OWxd61rXuta1fh+lylRfxGiZPrRW82//2/9XmqblX/yf/ot4H9Cqom1W3N7dsNk2hOA5HA5M08TNzU1xF6Yi5gmi7NOnj4IFS5mX/bMIY9HT9ZFvvvmmCGvws599x9dfv+Fl/0J3EfTY3NQKIdC27eI+9N4veYvi3rDk/Dmzqaoq+qHj09N7ttsNdWPY7hqGfsAHT1UZNts1Rss2MXhP07as2hVdJxgzrQ3OVYAmhoyrDQ8Pr9DaFGeDNBVDnFitWk6nAzknquLMGCeZfpzXvRACwOKIqKpqyYY6Ho/Ykrk1D1rNg0vPz888Pj4uzWFg2UeIOGh5eHhgmib6rmPsRIiNKXI8HuXah0DdbpYGdAgBHwMpZ9q2JSuWYSs/elSIYGXwa73a4P3ENHmGfpBDjdM4WxFCWIThqnL4MOL9yHAcOJ0OKAVfff31l08zMhEfruv8ta51rWv9LqrvR2I6cH97y3qzY7fdstvc0N3esd+/8PHjJ9brDQ+vHhmnnq4fiHFYBnb+7M/+rJAHVqSUl3w/59yyvq7Xa/74j/94ySzuuo6Xl5flXOu9p21aFJphGBiGoZznMjGtiFHWCqWQ9bkfeXr6yMPjnTwIlalqi/cDStU8PDzSdQPr9YrLpS9I1S0Kxzh6+m7EWmleqoJkWq+3bLc39P0FP0WMNpxPp3J21jy+ek3f97TtiuPxUjoFipQi/TAIScCoxWloraXruiWTcXYxhhCWs+rHjx+4v79f3JAgg03jOC5YU8nxan6SpwlCcRg6QZzvtltccZn4oXytV6zXa6bidpxvH4QOUVXVIkQOwyC418bJoFVliSFy6S54P2GsxlWWlCP90NH1F3KCV6++WiJkZifmOI7LgNMsSM7/Pu9Bfn2IerfbLXmXbdsuWPlrXeta17rWb1chRXErWoerbaH0pUV0kuirTFKalAI5BkgBlef8wQxZyH8qA1kvX5tJoBVKC3ozZjkbKi20HGU01lUQEjqnYvaB4CNZI+5D6ySWzVq0tmQMcfSgfIn5kCg0n0LpDwtKNCdwrsYYh/cRZSTLUrSCtFAYtdZCI0xCRjBGYr+sgZxL/qVWOGvAOrRSTIVamNWc+5hRShCjlHg1ITuWfjsalYs7UklupFbiIVRJxDinLVEXETd5uZaU28pCURRSaRZHZkqCwleKqm4wSi97oQQYa3CVwTmDMeVnl+RnZ5T8TKyCyoimMpEIOWG0Ls7OBCkRQ8D7SdbjnFEZjNJoo8t1zIApv/98PYQyERdHpNYJnTVJiXMyp4TRCmsNQQmmNqVZ7DVLL+Ja/3hdRcjfUDlFmTgoYeIpJVG2tcEaJYGQMRCDWKExZnmDscbgrPCHFZCKgJazKOeqoEtjSvJmFRMhBmKIpDyjSaNMOKLkzbK8aGvnsFrjTUChaZpGchvD5zcNbTTEouobLWhVhYBUlbzRzCTonNPyZqa12IxTLOGsZWIxf2nJhmJNLlmTeeZHQ8qSYTmFRAiZWAYqphAI8fOGfBbUhmEoj7WgyMqmfZ4mnB2j868vsa2zYKqLC1KX3EpXObbbLQ+vHlk1NX13ob+chQ2uNSFMGKNpamGIx+glsDd6usuZd2OPCp5Xr+5pajkYjd0AOTEOA+MU0LbCNSuZAkkRYsS4ihxH9s8fSUlzfPnE6XTkSC5CrsLYCrXZkuLE09MHDqcjxtRgG0HTXDpOXU9V12w2N2w3IkIKs9pyPp9+T8/+a13rWte61lwxCZo9pUxdN3g/kn3g7/2//2P+pf/F/xKYeH5+wbkLl+7C3d2moMAim82G1WrNYT87K+4KBmygH6SRGFNkGHq+//5E33esVoJn9T7Q1O3iElRKU9cNwXfEKIHtq9UagPP5jLWOpjgRvA8cTye0kkGdzWbDOI5474sDwXM+n8WNUTdYq5nGiXEaSCGz2WxRSsswlDGYItLlzDJkpJQcDkKMhOipXIPeiGO0aRr2hyfW6zXn84nL5cyr1w9ye8qAVjJkpTRogy7iY9f1+OBxrsK5esHN5JS4DIJua9sV1jj8FDgdz4zDWHC1Fbn8jCT3UlwWZMV2e8OqWnG5nBnHCWsNdd0STKDremmsVo555krE4lE2SrrsH5LHjxNhDFzKYa+ua5pa6BR9L5mbKQuydrPZsl6t8L4DIuMwcjwe6YeBROKHH74vP8MVm+2WtrH4yf31PMmvda1rXetvWN3d3bM/HPj06YnKOvzoebi/px8GyPDw6jXjOPKLX3zPz//gZ6w322WYRmvNzc2WYRCn3J//+Z9zPp95/eor/vRP/5SEYNHv7+8BFgT7nFM8D9TknOn6js1qy2q1KgO6gXHq6T+dWa9XNE1dhpMiztWgZNjoZidoVRm0CYQYOB4P3N7eMwwjl8uZb7/9lhgSfTdQ1+2S3+wqK81Nnzifz9zsbmVP0SRSjEz9mVdfPfLnv/iedrXi9vaeyU9orQomvkUpwzgJzl2rXIZqB5yruLm55XDY0zSCjc85sVqtl4Gel+e8ZErPYl4IoeDZV4zjRN9/vi2VoOs7Yoys17KvOe73i0vSOYtSGaUyWcH5dEJbu8ThzA7HYRg4n88yKLRes9luiDHwshc8urUWV1VstxuUEndk09R0XcfhcCCEgDWWd+/esl5vFtpFVVULqtaWHk/XdUzT9JPH+GV/YhYvZ2fsLJBe61rXuta1fvvSxizxGVVd40PAkNFKY7SmsqZkN07007REpQGC98wZbSRfGORsqtGokvkn9IHSL08lPVGLGKWNggrBqIZIVpqYMlkrtK3QzmJNhasbAEKYyCmjlxxlL1allAUPGyIZj46ZlKBpGxIwDBNVW1M5hzYaawwRwYFrpWRdMwacm81+aGMYhglb1iJnHZSh5FyGdpLK5cybSHp2RImomObctcUkJb/XKJQpZ3cl1CCVE9oYVDakWIRKLVhUyYYUUdgUrKlCk7IYlbLWBO9RRhFiZuh7slY0ZoUrIisoEtKDiVHO3tZorFbk6FHaSmSKElqlfC8RGaduJOdiqpqNUNpijRVHaNJgQSuDLsJsUsheg1nnUAvVEVjyMpXRRQg2xKJhZGUE3/oFGeFaP62rCPmbKgbayuLHiSmLwKWMA61ompqYI+M4kSZR3TUGnTVGSc7j1Au6K2fhUsvGVCYPfFHLU07LC1xrTVU78phQKWKdFYs1ijBqcnFhJpXIJtO6jC0B9zEEopI3XFvVkCM+BbSxuLoFpRm9L4GrMx4WiipaxFV5kWcyIYkgmrMp2ZBWpkiyuCYjiZwDIUVxCSSYYsJnxRigHxNdgDEqpqiJSezwcjiQCUlxbIQlT0F9IdSqctCZN/KLHbwIkSml5dCRUiSrKPfFB1Qf6S6W/tzSGIuKmcpYtMm0pmEgY4HaaV6/umfoO6ahJ4eATokwjBz2ewyJaRpIIWJdjasbVIiM/oyfJsBgXI1F3BubVY2aJj784s+IIZBDxPqRbhhAG5rVGltpyBPn4zNPzx/xMdI0a9r1HVOIvOwPuLrlD/7wj7jZNDirOZ/PKGup6obz5SpCXuta17rW77cyMY7Ln8bxs1PtH/7DP+Hv/t3/B//Kv/K/Yre7YRgGnp6e+PM/+xNev37F61evaFYr6rrm4f41797/yJ/94pfL5P+mqQW/Wjmc03z48BFrDa9evWK3u8FPEaVscTZqtNKEkFmtNkxOhD6FYhgHnBMngfeedtXStmtiDMQU0TmhdOT+4Qay4XA4sF7tAMmBBE3lVlhTM44D0zDxi1/8EmNEvLxcYBhEzJtzpKfJk5K4AG/vHqiqhsvljNKKb7/7OdPUs7vd8vHTj1RNzTj2/Bf/1X/O3/6n/jYEzc3NHTEEKtdgnWWcPOdekOXreodwUhTrm1u6Xpyf2rSE4Ok6zzR5Xn/1LYfDnhADwxToR2lCVlbLHspYqjIQKY3ZEW0qjJHMeGUMOUVcW4NG8ieITHEkBI+xmsvljLVzM7lMmWqwtiKGyDj1+DAKH8FZWtty6QdeDqeSbdWwajbSoN5uuLl9ZBh7TqcD/XARgfZ85Hh4EQTelXhwrWtd61q/k6q14vXdDSnDYb/nH/z977l/eMU3X3/Nar2h3Wy4f/UVpl7xZ3/2K7bbNSlL5nBMgZwDq3XF+XJkmgI///nPub97ELGwtovrcbPZMBXstwwerRY3/+z4//HHH1lv1mw2K0KYGMcObRRNe4PRglB/ft6jMLx+/JbD8YXzecLZNc4qrJ6Y/MTz84GPH1+4u7ulqixPTx/LegSuMvjQi4PxeGa321HXDSll+n7k4f41MQYygV/+4h/w4eUTb759w//v7//X/NEf/hHb7Q3OitNxGnpcVdMYzTgORfCz3Nzc4X2grkVMi1GQrsMwEEJc6A+Pr76iHy4oozmezhIvYgRdbpSi0TJwE4Ln+fmAQ1PpipADfhAKRFs3KBKGTBgH+iJSGmO4DB6lZRDKGIMq6Ly2bWWwOwVOlyPWSpNws7lh6AfOlzOnkyBvN5t1EY4Vq1XLbrfldDpxPp/R2vL8/InT6bAgWtfrjRANBhEe69rRNBUpJQ6HA0qpkidald6GxloZiHp4uKPrOvb7/V/jK+Ja17rWtf7mVN3UrNdrrKmw2mGcJZlE29SgMn13IaYgJpskrvmQYsGSFsOLCbRNKxEcIYmZhyx9/5DEvZdFgENpis5GRpHIBKNQyjJmw5QTlamomzXKiDmpbXZM00gfBlIMOGNIBqJ1+JzJMWAw6JzpfcB3ZzbbDc7WTCFQ6QqTDKtVvWBkTeMIKTCOshYZrUAZQhDRLGuFqxwZ8JNHey8ZjsYWETOjcxmaMUpclhmUUaAlBhKl0EYvZqoEGK0wBbMeQoYQUSpjtQiSfppweoY9zrTFBERCVHJNMygDrq4ha6qmKcjXiHE1yhq0tjjTYLWV2w2erOr/P3t/0itZtqbpYc/qdmdmp/UuIm7mrSwVSxSKEwEioIlEICkUIGlEaCzpJ3AgAYRmxR9AQpyXNBEgQgT4AwQJAiEUQYhgUSJRWXmzyMrMe2907n4663a3Og2+tbd7ZOZlsPJmh0t7A46IcD9ux8yOme211vu9z4ttasI8YbUlAvM0YIyl6QxKOQ7HA1or6rZD+4SO4i3YLH2QSimMsmKmFlNUcrDIc6AUSalSyZKK+apIKIzS0nOZxUdRKFIQb0cpU4aqFREI8YJj/VW6mJA/Iq3kxfYpVquprCMlMc1iSpJUVko6CpRFo2UCYAULAwWrGqMgSqZx5hN/dcGSSjpQHPZECArrBDFK6RCgdBNl/QlJGmMURnTpQVBGUoqSWlAY47CuImuNVYpY3iiGgg/Rcldz9GtXZfChLJwpU3xigMZYYumIEeiDZw6eOURCApDpjxAzIQnOdpoFaxZCWqcHlvu6Ps9lQmN5PNKZYNavX/CtLPe5GJOfnoPAuQ9Yo6hwDEOQ6PU8o2KUZzpDZR1GK1KYsQpq52jqWmLdyAVgGgZSzJxPPXEOxCDYt6vrG5q6I9qEnxPTXHoiyRhnMNpiUYRpIIeZFKSbyqpMUxls1dB0LUlpop/Y7wPn84CPibbd0PaeKUTO/cDNrSRtq1p6MPYvL2RlqLsNh/3+L/U1f9FFF1100Z+lP3sxOc8z/8V/8V/yu7/7r5NS4uHhAa01b16/YdNt6PuRp+cXbEG3vXn9hrvbO55fnvn+wwfatsVVFmtrxmlEa0Xbbsg58/z8TNde8erVLZvNlqGfxGCr6nVQZ+krWqbxr66uiVEOAVNKOFfRDyd0TByPB87nnk13RUqZeR7ZbrdstzsOxxdeXl6oKlnrtN2Gqmro+57Hx0ecq3j16jVGS79RVdXsdlc0TSPXMi9TlVVV45xm9iOnU8/V9Zbf+slP+fjwnr4/c7W75vf/6c+4v33FdrPFWsc4nIkxU9UtOSecMdSuKlOFBZuizXqgm7OsQ6y1pXOqIsYkWFjnOPdH5ilR14LS16XLwRpL23QM/SD4nNLn6OoGspdJz4Kaca7CVQ5nDdfXVytWFTSzn6kaB2TBwWg54EwpMY4jShtB9V1fM88z/TDx8vS8ovbq2gEJayu6TjZB8zwVfO8Lz8/PfyWv6Isuuuii33QplXl8eKAfpAv5pz/9qRiShwMhBJ72B96+fcvrt29wRkyncRQTr+tq2q7mu+++J+fMq1d3OOfoh56r3TXtRsy6qpLOJqnSkDOC3W634sRB0GVWO8ZpIOdYuoeFMvDy8kzXbgkhStVKijRNyxfvvuLrr79mSDJwlHKm6zakJOuDb7/9jvv7O169uufh4RFr6tKbXFPXDafTccWQLRjQw+HANE28ffead19+yffvv+Xh8Ynbuzt+/2c/41/5e/8KNzc1RsM0jKic8AmMdThj0daSkqDUU8oY4zgcngsuldKjWHE47NdKF+m5ku/ddR3jOJGSrKnqusEYh7MVefYYpUHJkLFWCu0Mw3BesXPSAV3RNB3Xt47TuWf20/q8u8qV675G6YXekGTtkEJB124Zx56+7zkeD1S1LTU6n77HZrNhGEbu7+8ZhoFvv/1W1nZv3vD27dsVqZs/6826urpiGAY+fPhA13Xc3Nz8wIReuq8/R8dedNFFF13051e33RRcOutW3RYMegwT8zSSYyCrXLr+UqEKpJXAQwwEP8uZt9YEkAGXxpBihpwwSBub0hpnHKnUrZET2gQwCqMbWrRQ7JRhDhFSppoDzlW0XUd/SkSVsJVDaUPKkgTUJcFokMN5ayqhC1npHE45oZLCWgcqlzq4iDVK9sBEMdu0RSktawmUYGFzJsUkmFoS2lgpV1tr0ZAnLxczLuvVykBrdMENagCtiim5kBQTRoHWBmUtOEssdABBnqo1kBWCdCfrQic0tsIai9KGUAJJrqrQxmKsJaNJBY+rlSVp2XebSpMQ7G2IUdYTw8CsIj6WSrecqZtWqIcpkZdqOAWUpKu4MeLjLPU2YjrqNQxlEGNxYbWKFyHkSBDio9b6022tFNYf1spd9EkXE/JHpLXF1RXEVBa0uXQXeTEil0+65Y1kxAGPMZCz8JfneUaVaYClvwnkA8woTc5+7Xyyzha0qPxodEkBiKkpWNfFhPs8Gfi5KQcQCiJNKSNTHuW/jVZkHUgxkMjEyIpWIVP41gpJGEs8UymNLjFjY8CHQIyZMH1KMAo2W5We2kRIiZgTIURJOoa0diAumJSc87rQX+93CJ91RMrvLX0LeX3T/zAZKSYkKJ3JWuYYUhJMXPCB8/lcjMdAW9W0TY01iuwFxeacw5ots3X4aUSjIUU04OdAjOBcgzU1Td2VDxnNMEyw3h+z/szCPDKnTOU0rnLElDEZNIkUZpStyCmCUlhtJDlRSu1VhrqqxBjN4KeZYz9wPp3BWGLOjGP/F/46v+iiiy666M+nlBL/yX/yn/C7v/u7/L2/9/d48+YNOWe23Ub6BmOU6Uoyh8OB0+nEdrejqiru7+/RWnPujxwPMyjpbTTG4ZxjngPTNPH+/fdoZbi9vWeePS8vz/zkJ18BYqItB54g18Tz+QwgqHYg+EDwE3VdE8LINMpBnBiI53II59jttvT9iZQibV1jqk+dBsMw8v33cj+WPqjHx0eur6+5ubnFh8wwDMQYBHsTA123YRo9mchPf/t3eHz6yIcP7/G7xPPTM38w/Yzr62t+8tVPMdYxTjMheKK1pCwHmt7P+DiXnuxUkCqyVhBDr2Z/2Mvfi4kQPTc314x9L0mQYcCgadsWax0py4SrtRaVVFnDJFJIMgmql17qVIaxLApNXbVcFSze8/MTp/5IVcl9cI1gcsdxLBsm2bxaW9E0jQyfVXbt6+zHAWs1tnKyuTGKqqmATOc32ILtueiiiy666NfTy8sLxhh+8tWXeB/kANFVoDTeB87jxLfffsvhZc+u27Ddbmkax/l8JsTAhw8Hzuczu90V2+2WlATf6WzFeTjxxRdfrANIf/tv/+0V77kYTTc3N4D0FBpjePf2HePU8/j4EaUzxjRliCigleHm5p5hmHh+fqZtBcU+DMOKDJX0XU1XCAsvL3v6vufq6opxGMoZwZamaVbD6/n5mXmWNUDbNszzxOl0pHINv/WTv8UvfvELnp6e6LoNP/vZz/g7f+fv8ur+nrq2Yrqee1SSgzelFNM0SVJylnqTpR+xKvU1bduy30+AIFJPpxNv33yxkoymafpBj2LOGR8CravQVUUsfcoymKxomw0+zKVXukVrmH2gaipubm6wzvD8/Mzz/hkdNXVdY51FacpQ1iR1LbXDGDl3kM5MSwieeR7XXklrLcbIbSgEubqkN/u+5/vvv+fl5YXr6+u1h3sxGJVS7HaC3P3w4QO/+MUvuL29Xc8tjsfjev5x0UUXXXTRry9bVWA1cQpi5KEI3jMNPcHPaJUE5qmQvSRZ0KlRQjFZaZQxJO8x2qCsgWggK5KfBdeqMqmEjiR1CDkptLhr6+c/ZeDGOIdPYrxpaxn9DLoSXCuC8jTGlnN2i00Zg5LvX2V0I5Q9V9dUWuNjwPtJokApr9RUyuPVitJ9GLC2pnINSiumeUY7h06CItUpQgkmJSXJQBAOIrAmAzWgspiaSmt5DrSYiqhPnYtx8TaUIuX4mUknacmsLCF+Ch/FGBfXTrDo1lJVNfMcmKdZOh2rGlVMQen2LOjYXFKJSVE3NcF7UgrFQtTEmEBHMQdzZp4GeYKo5Wt0LmlLRcqBWO6TsRZtdHncilj2/wt+VSmNWn6+kdWL0Kp4EXzmyaCKV5nXCrmL/rQuJuSPyJZp9qyivOlyJsweHwJZyZ9VteC5dJQXmpiUS7FpIgRPVbm1I8I5YU6HUog6z7NMasSIMQgGNS5FuaqYab4U6H66byuTuCxmrbVrP0EIEbBlGsSSs0Jh0caSYymhTYFU3uDkTI4ZayzaGGYTyVGXTUGkKoeVrpIDy8NhKoeAGmsrUlb4OOODTB+EmKUbMsmkSeZTif1iXHrvP31g8yntuBTbx+h/YEAuH16/auEuC/ySarAyafju3VsaZ/HThPcjOMum7aiurxn7I84ZnNVsNrekkOiPZ3JMOCvTIefjkWmaqauK169fcX19jXOO/csL+/0eHzywGNNiTksHmKe7u6GuZaojT55MwE8DaQ7YuhVU3q7FRznktJXDuBpjLfVmRwqB/nAga0NTVygjUfS1rOqiiy666KK/dtV1zTRN/Dv/zr/DP/yH/5CUEm/evMGPE1XpfhqmCT+LWVhvak6nE8aa9dBu1204HvecTmeMceVgK2KNJYTE8Xgi50zTdIL+3m44HPe0bQsqE5Mn5Ygpi2ilM5nIx4f3NE3DT//Wb/Pxw7fs9y8YY4lB0fc9b9++k02AcwzjmaapefPmDcfjoZSr69XkFLzclo8fPq4HiFrLIeTT0yOuqtlsN0Di8fGRGAN3d7d4P3M4Hti/nGmqLb/z02u+rb5h6PY8Pj3y81/8Ah8Cr1694f7+FTllZj8S4kzOsu7S1hScvKVtHederrO1dvgw4ZzF2g3TNDHPM8fjkbatBU3nXOl/cjIFmgOudkQfsdZyd38nA0v9UQ4jy+NdSBAhQkKMz5fDCa01m82Gm6piHAeOxxNqGOjaDVpbcp5kkjZnpmkoaQ9F1TTYHLHB4v0MSjpDYsyyCdSGGD0+JOZLSuKiiy666C9EtZODrru7O8ZxZJrnUg8ilSpdLcMiYpYdGceR7U6GTg/7A+M0cHV1xW4rBAGlwBrLy8sL2ipOp1NJzQ30fU/btnjvAdYB3GWPezqdeHp+5Msv3/Lbv/1Tvv32l3z8+CAJPCUT+JvNlZh5KE7nAzc3N+ycpPIgM00T4ziSUuLu7o66rnl+fma/P7DbXq9dyPv9ns1mg9Z67SMcx1EwszEKQrwMO//kq58yT5HKNTx8/Mg/+2f/DPV3/y5fvnsLJFLyxASH0x5jHNM0lUGpmbZt6bqG/X5PXTuM0aQUqCrLOE20bUPfD5z7I3UtGPfz+czd3b2QC85nQohUzqGUEAusq0gowtgzBY9O0i2ltBIzFMHgnU890zxSNzVt27Lb7Tj3Z47HI00rRqT3HpQg++YprmuaTz8fXTogFcYImcl7zzxP5CRnDkvqUWvN1dUV+/2e4/FI13W8evUKYwzDMJCzDJtZa2nblpwzLy8veO/XTkmlZED9oosuuuiiX19zDDBBnCNWW6wy9P2Z834PKVJXFk1C6UxMsRhqmm1do7QhpkyaPcEHlKt9rI8tAACymElEQVSwKMCDyfgxobSc2aMVKWUhB4ZACuETQaeQEdEZrCLkRMgZYx22rkk50c+TnOdbg0ZCPqCxVjiDOkr6X2mNcYKKnYJUqaUsxl1Okcl7ofBYjWIh6YQVB6q1IhOljiUGslaoGDDBo1PCaV1sM+m4hOXuK6zVn87a01KNxnpmrxSkHMkxEoMEfgwQtVB9DGCsQWcHWZKaSmvxHIp3oBCXI0dIOhFDJEUJL2EMWonpmWNCWyPGq1Yo6zB66VIRSiNaYygD0yWZ6EondUoZlQMpakmHluRqzgqiPAZd1SU1KSnUVDyHnMqPUwl+dzFWWTotlfgpiyuxBK0kXfnJt7joz9bFhPwRpSwOPyljG0dtLdF6zueS91YK65y8mYKk21JK68RbiBIRttmWRG4J6pYYt6vFmByGfsWS+NmTYe03kNewL0bip+TjYt6ltLzQVZmoUGidSUkTFzMwgtUKbQxtWxH8TAwzKkfph0wQsyzoZbJCle8rC/O6rtnudtJV8Ww5HF/WN/ryIRBRhAxzSMwhEbMipoiPAaXtDwxFyuNY8KvW2h8gWZevW6YIPv87WusV2QqfELbyc5APF2FvN9xcXWMVnFNm4kiKCa3AGolKhzAzDD11XbHpdmy6LVYZrHGkkHjUDxwPR6yx7Da33N3e07YtTd1RVQ3T2OP9zH7/wjSeC0JHkqbe93RUUhJc1xjj8Enhg5L7SMJqTU7yM/TThLUOZy0WMYm1UlxvNwzTzBwzPiYqe3nbXnTRRRf9TdE0SbogpcQ/+kf/iL//9/8++/2eXdsKCUEprq925JwZppHD4UDTttzeXKPK9ex4PPD8vOd8PvHVVz+RbqVhpqqa0i+14Xzu+fa7b7BGDlNRmuPxsK4FBAn3aSpfzMot3nvev3+PVtB1HR8/PrDprrm+vubl5YWcM3Vds9k0xCgHl85Zqrr9DOnqqOsayGw2HZR+6r4fpbNYKeq2YZoH6rrm5uZ6TV8sA0fSJVURY+Dq6g5FpGoqDvsDj4+PvH//ni+++IovvvgKawXzMk0DIQTpYiyHpdZVVJUhRU+MMwrDpmsYx4nsLM4ajscj09RT1zXGyBbBx0BOmevra2KI9HkoWP0IKtN1HcMg308Qc0I4yBly0jjbUO2kZ2oYZjEbtaaqamLp1YxxkkGipsZY9xk+ltI/onFVBUoxTQPjJGlNazXWVdiqRhtLKOuliy666KKLfk2V/eL5dAQUlXO0TYurag6HIw+PT4QQePPmDbvNluPpSN+feXx85HQ68OVXX0rflHVQpty1URgraO4/+qM/4quvvmKz2bDf77HWMo4jXddhrWUYhtWU3O42jKNmv98zDAOgSnLBUtcNISTev/+epu5ou47tdsvpdCypxg1936+G2G67I8VMipnXr98QY+R0OlGnmpQjw9CDkn30zfUNu6st+/2ex8cHwbrXDrIgYedp5vb2jqHvMdrw8PCRf/YHP6M/Hfnyq3fsrlpe9kcmr9Fahp69n9FLakKr9ffatiXGUIaKHa4YgY+Pj+y2O0CtfZkLxSGlLNSfsidWBYmec2ZWmuPxSN3UWF0Gq7PC2QprBL86jNLLaZwMTQ/DwDTN+IJ+qypHVTtymohRkdKnQe6UIm3bMowDw3AGBOteVTUpypB00zSlEzqX26sYhoHz+cw333xDXddUVcVmI/2Si0l7f39fhrcP8hjqmqurqx9QoC666KKLLvrza44RUKgsJmMMHj9OhHmm0gqbEzlH6XTMCU3xCgGVMzpnfIrEJEOhWUnPnzKRqACjyUYQonKSn8kpluotIMfSJ6hJWsypmBNZQdIKnwS/HlPAWkdlteBdjZiRRhuSNkTviSHCYmrKTTOHQAJQGWc0GotSEoMMITKNM/M80nal31gtVMCAs6aYl4kwz5gqYHNGqUxKed1vai1Ux5w0Wf3QQMs5CykQIGVSqYJLMaKSuHUqA8W4U1qhrcFPQoPSymCsledBG0ypu1OIURi9/PyMNtiqwhjLFDxZKbR1YjRqVZ5ryCkSCzrXmOLDaEkr5pzQRDQFr14GwawxpQVPkVWSXxps8SNSMSVjzsScUdpKP6QWWOvCblXlTIFCjcx6eV0s/ZFZSEr5YkT+N+niZvyIfAqM04RTkmDcbbeEaZZi2bFfPxCygm6zIcdUJhHKwnbIxJRQ2oASXrMPUQ6jssY4Vw4QVUGaygeC1mpdvKtSgJqVXyPgnycIjbFM0yS37cOaCMxoYoYQE+REUolKO169esU0jgz9mXmUmHqK0g4bM6SQ8V7YysYajAJXV1zfXPP23Vuygu/ff4ufDDHJY5ljImSIGKYwMYdEUJpQ2NNGZfq+Xw3DBccCgmCVxX71A4Nx+ZrFjFwe76IfdEoaI1zvEh/3PjCOE33fs2lqyDLpEf3M2J8I3nA8vsgBZJCv/epLy+tXb7jZ3UKCoR85HHvQIyHC4dizu7rm6qri5uaOuqoIfuT5+Znz+UgMHpUzxsgFqh96mq7D2hpjJIWhgxyseu8ZziesFVa30hYfE8ZaiXsD7aaja2vqMiU6TzNKOxp72bhcdNFFF/1N0TIxOE0T/+gf/SN+93d/l2mcmPszTd3QtA0xeEKKQOb29obT+cy333zD9fU1Tdfy8eNHAP6lf+m/T9PUHA8nFhx603R477HWrH1DHx8+AJL8v7q6YrfbrQeTS2+SKT0XKUkXJDpKwmO7pXI13nvu7+8ZxxGA4+mE1tA0VUGiimm5HB4aY7m9vaNtOpQSSsM0+fU5OBxe2Gw29P1Z1ku7HZvNhufnF3JWnM8DNzcNSIM2Nzd3HA4v7K6hrmq+++47fv7zP+L5+Znf+slv8fbNa5xV9EOPs0vJ+0ROiroyBK9IMdC2FSkFrq62pJg4HPY0dcUw9xj7KcUgRqukJb33VLVDZS2pTtli4KoKYww+BEIhVFRVTV1XvLzsiTFwc3NDUzdMc49z0jlyHseSnJjBe3yM0mmxIOeVQidd+jsSxho6u6FJDdrIZlHMz4ixNXWz+St8BV900UUX/eZq+WxOKdG0nQwXA8N+oGk7Xt3f8/j0xNdff83f+ulPOZ+P/OEf/iGvX7/md37nd5jnkXkOpDix3VYrzWez2WJn2YN/8803K+2nruX6ej6faZpmHbqd55nr6yuUyoTgGYaeaZq5u71nHCe0Nlxf7zifzygFT08fubm5QSnF+XxCa0Nd1xwOQipou46mbksPs+N0OhEauSbPs1ABXCUmqNaqGKlmxbUD3N1d8/DwQFXVGDPjnBii19dXfP3LZ95/+I5hPPA/+Jf/Zd68vuf7DwdSFhzsMAw4Z0lZ1hZV5RjHkd1uJ32ROdK0lg8fPhRT0aGNYhhGtLJcXXUAHI9HtNZ0XUucIikkGcxWpfsKuL42Jf0pjyOEwGG/p2lrNtu2XEcTSitO/UnQqUOPH2fBqioI0VPXLfM0k9Kng1fphlJ0bVfQ+ZLw8MFLlY0xtG1LSmkdLKuqiq7raJqG0+nE+Xxmv99zOp1o25bb21uqqmKepctTsLmSiHx4eFgHzy+66KKLLvr1lJWS/kYH2SemYSB6jybTVDWb1kGOWKOZZk9ezLvzmZwVxlqpzvABhxgkMXpyNmRp6SpIVsGR6tIluIRbhMIqYZrRz2QjdWhYizKKmGOpJpMajpwMwc9krcmxdCm6JY2nJFmpNdZYMJKqTKXwUlmDMxUqJ6axZ5onfAhS8ZUzfp7x2VPVDW1Tk7UiofDlzDuEGRs8lZPbWM7ZtTIoPuFqVTEyUzlvXyrT1sFnLShXU2lUzuQcySHiY0SRqLTspVNMVMbiVKkeiwGjDGbtUJRux1iu+doYQdamLJ3ZBXGrFyRqljI8pR3OOLKkecSINAaVPDElYo4Yk1FGo5GfUwZIkZwyqjwuHzxLiaNaU4+L51i6ItWCXJX7l5L0iq5sRqWIMRC8GLMgz6uPF6rRr9LFhPwRycRdpt203NzccHN9xTxOTH5inKWrwDizuu/GGJTRa8JPWwNByZSB/1ReGmJEEVZ0ay7Nr9PkC5LUopVZjThJRCZsQbosv7dIl07BZXEMiqw0WWnpKtKWptvy6tVr3n3xjuBnHj685+PH7wnBE0JCk5lTQN5gjpQFE9Z00k00eS941RA4HA70pyNKgY8ZnyBkjU+BEDUxJ3xIpERJEgjTeUlDLhuy5XEsB6aw4GzDD9KOyyHvYmB+bkou0wtR/oe2rtBKcT73PD08EncbrIKublA5Mp57tIEYw9oRYa3jdDrz5rXC1RXff/eel+cDwzSDsSidGaaJDw8PDNPA7e0Nm92WHGtO59OK2WnbBkj0g3zozN6jTYXTGq00pnaELL1V8zQRvKQ2UYF6c0UKHj8OVK4i+pnHD98z+sjh3BOyomm7TxMYF1100UUX/bVrvd5rzT/5J/+E//A//A/53/6v/zf4aeB0OKKV9AssX9dsOlxJtB8OB7755hseHx95+8WX0r2gDPf3r4gxcTgcCEGSdDJ5L+m+7XbDy8sLdV1xOOz57rtv2Wy23NxIR9FCZFClOL1ta8iBzWYjicEk113pgJKDNG1gGCRlobUierl/0zStX/P09ERdCVpdKcXNzU0xP6diXs6klBmGM8MgHVVNUwMK59xqZhqjOPc9rqrpNlv684lxmjgdj0xjz3/9X/8Bh8MTb1+9RuXMNHmm4KmalmmOKHT5fpFhkJ4t5yxN07LNW8HmjJlTf6JtOpquZhwEV+PKQfE0TWuqQWuNwa7rj5wzrq7XNOT53IO2qKzYH3uaxtHUdemUqtGuZpoGqqqiHyX1EsprAmTzaqxsZBbsfFo6Lss6yTk53J6nmZ7hr/EVfdFFF130m6PddktVOb7+5lveOCfdvK6Sz/sYqKqGpnaklPj93/89np6euLu74+bmBq0Nu90NKWUOhz05s3Yz9v2Rqul4d/uOb7/9tvQg7vnZz37GdrtdDcTlkK+qHOde9s7GGG5ubhnHsewftzIsxMDNzQ3TNDFNI9M0lGGWig8fvmcYRtq249X9G07HM+Mwsd3u1n3odrul73uA1bCsqorvv/9eCArAdrsF4MOHj8Qoqf/D4Ygxmqura3IOzPPI/f09fhbawR/90R/yk9/6qaDrvOfx6WMxFSGMHusKlShqTucDu9J7PU0zbVtjjOLp6QVjNF3XcTqdOBz3OFsB0PcDz09PbJqNHI4WZGkIMlytjOb69hajDafzWdYc3YZpPIHKtF1TjM+EcaYgcjuGsfRzRk/XtTw+flzPHLSSddgy3L1e+11FXckZTN/3a5ezYNrFgJTBMMvV1RV1Xa+m7H6/Z55nTqcTt7e3OOdomkbSqDc3aK3p+56Hh8e/+jfCRRdddNFvoFLOOGeZzgO1tsTgmaaR2hoUEasEuT7PE1N/IsRI23Z02w05gS79xnEc0DnRVA6lwccZrQqVMCUSlFozhVaF2FcCKMaIiVdVltmPuLrFWkPMCa0NPiaslmo0VCRFXfZ/RlJ1QFKqoFplj66NKSlDMe9yzmgrJMV5HITe4wNOG4xWpBhxTqOsJeWAzgqFWbsNpY5N6kXGYURZg9UShNIFuZpVAp0LZlZ6JHPOJWX46Vxezu8FYZ5jJCWkJ7KYdylLEElpjSk1a1obFJk5RCwKqyUNKV6BoFpTAmMVVV0RMqQykI2WVKNWCksmmSCUiyQm5JJAlMBTLtV2WRzkqIhlLQYS1FJkoUFiSFH6QtEaraWOT2zNomVmKGeSSutzkHOUir6UyMS1pDMl+e9LJ+Sv1sWE/BFVVc319TU3ux3aCu8/lcRa07bMfpbIsWZ17EOIMjmQlp5A+eVcwlrDknp0xqK1QassC+dUEaMv31lSBsnH9QVcaVvMxlxuf8GWAmi5rZKQzCjmCBiNcZauu+L27p63777g9u6Ww34PpYsoZuklUtmgjUwaaOzaYRFjZpxnPn78yOF45LvvvuXb776FOFPVFUkZfNJMKTPOEQ9ENJFITMj9V2pFjyzmo3CnLVVVrX2ZyyL/8xTkok/42R/iWZdfMUgUPiX5gPBT4ng60dWCYKkqST1olUlRUKfS2dCwu9rStjWZzNPzM7/85msOhxPbbkvd1jKtoeBpv+f9xw9sty1v37xmt+04nE6EGMQcVDIl0zQtSWmUrtC2om42aOOY5iATN8ZgkkxlyobGcbXboK3Dx4gmQ4yM5zNfv3/P/tiTteHu/hWbq91f+uv+oosuuuii/3ZaUoGuHG7+03/6T/nFL3/B3/6t3+LmJ1ccjgfGvmez2ZSOoUjlLErB8bDH+5nXr19LAs8H6U469ejSxbxMH+acBPGRIvOcSqJCrh9NI72U799/X1IM19zc3OCcXZHnwYcVrapwxbir+PjxI97PVLVjt9uSUqDvz2iT1nWAYFuhrhvGcVwR6qBL56JmjhPTNOCDx/tQjFnFNE2Aom07nJO/N00jMeZy/y3b7TUk2G62vDw/MU8T++cXTnvpvbx//YrtpmPyM+deEiNt06HQWCOIlv3LE1PTUVc1MQY23QYUnE4ntNI0dYMpmzpZlwCZkkBMOGNlAEyrQpVQONeQM+uw1DLs1fcjORpc5Ur3hKaqGpyr6LZbZu+Z/SwHyfPEPE8Ya1Brf7dZTemcM3GUyVOtNChwpvprflVfdNFFF/1mKETPu7u3aG3Y7/cYazkfD3SbLc5atJK05PF4xBj46qsv0NoWfGYHeRAUqHWM40DbNqQUqeuKYRww2nB3d0cIgdvb23KNm3j//j1t2/LmzRs2mw1KZfrzhNIU7GgqHdAbUkyM41jSfs9UlePu7obT+bR2ES4kHecCfd9TVWKk7vdiNMr5QqKuq3U4KITA+Xzi7u6O5+cnpmlis9mw2WzounbtMBTzrUEpuLm5lTWN1exfnghh5nQ+83u/90+5ffWOq6tbttuW83lgnsWQTUmua0IHCJxOB9q2YZrEZBVKwsC5PJ7d7kpoRDFAFhOwbmqO/ZG2bqjqCpT0MfvZi3GqYQoz2gjWfJ5GQDFNIylHuq5DlUSkcw5lKqq6oq5r5ll6NIehL6aj0KZsOYtZhptTyjJ0BOuwlXOurM/8Oky9pF4X5Pqy7hIkrZfuz6cnlFIy5FUObRe0683NDU9Pz39t74mLLrroot8UaZSczyvBjuaU0BpyLl2DcWaeAtM4QIpUzpCC53yQc3xjHdY6mrrCVRVWCX0HowkZIQqWYWIyRAVKC1JVKKRyfk7KZJXX/fqyT055LWQTQ03l0sdcUpAoEhFr3Xrur7XGWCNpw5wkNZkTrq6JOTOOM9Pk0SmjjaQRl7N1W9fElChtbaWurChnUkwoFVBxuR8Z4fiVvXHRMqCzDOxKs1z5gpTkcS0dijmVDkWNUhmdWLsWF6yqQxHmAbR0YEYUWimMVpJGtKCsRVuLSkq6H7VBGYuyFmWMJE9zxmgjidGCUZXnXBXShTzPSzArAcS4EhZ0MV6XZ0XJ0/LJo8iC00UrSVIW7HymIFgLlld+ToqEvBaAddh4ee4v+rN1MSF/REun4/545PHjR86nI42Tnj+pJ5I8tjaG5HMx3EvpbTHSluk674N0E5U3BErL18a0vslTkg8C+JQIVEphjaFuygGa9njv11QgZLTOPzDkcpY3Qc4ZHzwhhRLHznz3/fc8fHzPd99+zWH/DDnjlJY3uJKOC6s0yVpCDCXVKDi20/nEx8ePHE8HbrZbrK0I8pEqrOaomfyEj6n8isTyHDj7ydhcNlRVVbHdbkkplanPqaBlP6Ug/ySG9fOpguXxymZCY7SmrhsqozDIh0hOCU0p2s2KnOQxpZzQWg5w67oiJs/D40fO55E/+uM/QmvDq9f3XO2u8MXg1FYRVeQ8Dvz861+iSZyOB+mQSJEZQekqY7F1S9VssVWLMlVB4+YyZaGxSkGQ+6C0sKTbytGoim634/r2FXOMnEc5rB1mj9GKprocTl500UUX/U3Rci1ersu/93u/x37/wvHmmoePA5OfpdfpfGIcRx4fH1BGJgOHQQ43f/KTn9B0W46Hkwza6LxeD6VfKa6mlVKUfwvKTNILO0Jo10PM5+cnDoc9Nzc3cvipZagqBC8bjiwL7t1uhzHSoXg+nbDO4pwcls2zXzF2TSNEhPP5jEJzfX0tqb9+LJ2NDp1VOYS0axLg+GHPdivfY5x6zmdBtTrnmH0kZWhbTVPXpE2StYTSHI97wjyTU2Acej5++I6r25uyebA4q4lxJvhYjEPLPI3S4SHeIyHMcm2PjWBSlWzUpmkSE9UahnNPTpm6rvDzzOl0BKDrNhirGcdB+hxDwBhLXdelx/vMNE2klAgmkAqqRalP06LGGLqupW4qQmh42e+ZS+eks5aqrqUHrKpQuRAzskz0xnBBtV100UUX/UVoHkf++T//r1e0p7WW/csLz88v6DIMO06C7fzp3/oJdd1wPJwIQQZQnp9e2KZM3VTknDife2LybDrBm4YQqOu64LurtQdwGCSp8PXXXwtN6eZKEgdGoax0K8YYSDHTdRtiipxOkrT0YSKmGmsNfva8vLwIXtXVdF1H3/cMw8jr16+p65bj8SiDP0aVNIBmu92sicqvv/4lNzc3dF3LMPQcjwfqusGauphrgeubLV3b8PDxPU1ToeiYp4Fp0lTO4JXseauqLnt0wbKO41AGpmJJMI5Apq6lF3khRUg/c6brWmDpS8rrNVbWGhXj1HM47bHW0bYtm13HNMvw0Tx7nHO0TSfYuBSIKeO9F7S8Ah+lBzKFBEo6r6vakZKsn4ZhoO97GdAybsXZVlUtB8IqljOYyDQNP6Aw1XVN0zQ8Pz9jC8Iv5yxpyyC0iWXQelk/TdNUiFayLnh+fl7NzIsuuuiii349aRQ5JozWpNmLAajk90KKTGNiJjINA5WrccYwTrOEhOoK72dyShjnMFpJVVnOxWBkcajEcCvfM32edDOGRJZrRzHytAJTzqh9TJ8q1VBkNGQ5+5V7L2YkWq6rSilBjxrBueok19BMBqOhJAydc6ik0DmRS1IyhQgur0k8i6QHjTJIFXIq6FQlj0kbtKaUkuTyb9HyaJdz/OV6TTH6UIuNJ+YrJRmqUiqenCoGXrltY8BYKM9jzFDQEPJ8aCWESefQScvjMppsjHyNkQFulbPc2xAEFxtlLQFajEWl5Wy99HOmDCkGJL+l0Kb8gLIqa6by3C4eSgmVLejdrAqBUakVT5thRcUaDTmVZKxKQrNUSZKsF/2ZupiQP6J+6nl8fmLqB/aPjxxentm0Ha9e3XN7eyNv/vJerZQprn4mK8GyahupnUPNk7y4tWBVM6yYkRACMWRyghhlckPerMWsKovcrmnkQ6RM5AN/qlvxU4ciaO2IFCToOHA6HzBPhueXZ77/7js5CE2BrmmoKyuFtSkClrqtqF1dnoOBfhzYH/bs9/tyaNqsyUY/B7JtpGfDRtKhZwpBkLMFW2KMFNIu93tBry6Pb9kQnE6nctin10GLBWUDrEibz7V8KFhjZGPStmzbBqsyFvnQT0lY3IqM1RrtHGme5MMkSJdF8IEY9zw8PPDw+MTrV2+o24qsE/14wllLs224vrtiGHq+//ZbHj++pz+fqa2haxt8lA9GZzRtc8X26l4OmvuRkBLaVDSNw4eItgmXMyEExrHndDxIWqPraJzDWQ1acX97C0pzOPdsu47dpvtLea1fdNFFF130L65lQrBtW/q+J+fMP/gH/zb/l//z/4mr3W7thfrwQXocjdacz71gutqGtm3l+usjWlvaVg7E+l6QY4fDga7rJM0YAkpDipF5FlToMq2/oMFub2/JWXqY9/s9Ly8vVLXj/lbQcHVdk5PGezn0W7qNjIEQQ0GqRqpKHs/xeCxGY41Smq6VA8+UEnW9JCn2TGFgs2l49eoO5xzPz888Pz9zOp2JUVIK222DtYZhGLm6uqYfJl72J85mwBiom5amqrBW059OzNMg/RbTxMeP79nsttRVQ9+f5b50G0JIKBUljTmPjE8DVd2ga0PKCWUM8zzj58Cr+xbVKM6nXhA2lfRyz95TVYaYC22CiI+ZEBLb7bakK6RbwiqHCzXT4PFeDiqjzEfKxtFIekPoMbIBs9by+v6Ooe9Lx7NnOJ1JObPdbMqGVaOUgZSI/nJAedFFF130F6Gua5mnSRKQ5zOPj4/c3Nzw8eNHIeNoORZ8/epeuhunuWA0a4y2OFvx9PTEMPTc3d+QUqBrWx4fH9ld32JqVxCtzfpv5xz39/dM08TT0xMvLy8cj3vu74VQUFcNbbvhfOqZpknSckoGaZWCaR6YpknoAUZxPO2Zp8CrVzJUs9ls0Frz8eNHlDJsNltCyJwPz8ToeffuHXd3d+z3e6y1nE4nHh4e0Frz5s0b2rYtlILEdtvSDz0fP35g07WCQQszVVVze3vP09MT0zjQdR1P+yPaGna7HSklhv1JKBBRo1JBjWcx3w5HZIBpTsx+JGUhCUif5obzuRfCVKlmqWqDImGdRilLzjBNA/M80bYd1hlJTpJQKlPVFeP5ICkQJdSFmCKJJOlHP5OykCCUhpzler4kG/te0OnnfqauWqZpxlqHczWgmYvxuXQ2z/PMMAwYY37Q9bn8P/ADytM4jjw8PND3/dopuSQrLybkRRdddNFfjAxKjCmlmEPAGkO2hpRnUgz040yOnpw85MQ8K3yQVHrT1IQog8TWCTY0hNLlpxUxIUhUJam9vGRjchRTMhUqaJbz+5Qjtq5K52EWj00pjK2wykJW5BDJIZGVIqpAWmrKcgkXFSNMlYRi0opUkns+ZZzWtNsNjdGEsWc6nwgpE1NgngcJ2yjpybTWoozFlE7FhZiQcypVIRlj3JoaVJqS5iyJTnJJFYrRRpQHLFUmZh0mImVyDMQQyCkX01WMUm01wXtBl2olaUdKahVF1hplpQ8T51CVRUeFiolkjDyvyHMUs0Iv6cuYCT6SQyjI2YRsvj8lFTOKlORux3JfzZr8BKs0ShuxW9fnmeLHlFbIJfm4YGnLbSclFrJWCpRd0685CULXzher7Vfp8sz8iGQ6zzNNUvoq2LFPZlpGIs2QcdaUEOPi+rN+rdZqLXklykT97OUDblmIrijVLG92Yz7dRlUWzBpVsKtG7pwCbTQxSMlqLMWsWZX4sDLkmIg5MXvP4XTkZb/nZf8i3VLW4GNgDoq2aUlJouBXV1dc31xR1RV//PM/Zv44cT6fCcELws3IdEEMEe8DTVex2V2TpxnUA9PsiSHiakddmNGzj2uf5fI4F2TJkvhYkqNaG2STodavX5IgfzIZCSU5kCJaG2JMGGOprELFmYKnxihF7SxdU8tUSX9gLj0P4ziw6TZUlWOz7YgpsNnVjNOZ4+mFl5c9oNlut9ze3pBiIORIzKnEtR3Gys/IGkO72XL/6h13r96USZonQLHZbmnatiBhZEJWCoAT49iXiD68vGgeX/bMMcqhKIqubdluNmy69i//hX/RRRdddNF/aymlGAbp8RNTEP6j/+j/xf/q3/g3BJmWIlopfPDYyvGqu+fq+hpXVxwOR37xy19we/eWpunWNUFVVTRNzdXVlfQw9z11U3Nzc0Xf94zDhHOf+qGX6+Nut1uvp2uvUpw5HA7UtSDljK5JKRbcXI33M0prKuPIWWOtoT9NVFXFZrNZ0WMxehS6DM+MvLwccM5RN5X0PJ7PeC+JEm00N7fX7K629Oczp/OJx+8+sN1u2GyvSQnaZoPRMI0Dp9OJFGcMiaZ2XF9d0Z8Vfc74kLDOcDoeiG3g6uqG4CMvz88YYyEvmyFZIyUb0Jg1tZALUvabb7/m7va+/Iw0sdAmnDXUtaXbNMyz53w+E+eEsxXH40GMyZhxLhTMmyqJCWG6SsJC1mzjOBYTUmGsWtcxVkHtHPXNLTEmhmFkHAemYflZST+11gbz2STqRRdddNFFf34569h0HT5EDvs9Wmvmeeb6+prb21uazZbvv/+ejw8fuU031FVDVTUrDm1jt2y3Wz58eM84Skfj9fU1SiuOxwGtjAwTZalXmeeZ29vbddh46Uf0fqLvz4JOzQrnWtkD5szpdGKeJ1AR5yqcM2hD2SOPOOfo2m0hF+zJCUIQ3No4DBwPJ66vr8r3H3l+fl7JQs45bm5u1l7nX/7yl3Rdx6tXr2k7MTWvrnbM88TL89OapDRKUVeO3XYHCXxI3Nze8FRSgNfX13jvP6UQkfXPUrGyDGDVTU1KibZpOeyPvLw8o7UmxqWmZulj9txc74gxSA/0OJXhbMP5fCqGYMGwfXYekHMixoJSQw5Nj8fjSj8QyQFtCEJ6uL6+pm3b1QjNOZc13EjbpvU8Qam0/lyVkn7J4/FI3/crYvVzytNCWpCez5b7+3vmeV57Rhesu6Qp938t74eLLrroot8kWaVRqSC1C21GG0XUiTgnpvFMTp6msljj8N6jtSLGwPl0IiuFcxXa6GLQ5ZI8lJSb1mLgLUadhAElaR9J634bL6S9dmtxRs7gS6sh1jox02IkzEGGTY3GI9+LnAUvmiFrxGgr/5Dzan7mYu4Z49B1hjAzIfexNvIYfIyEnLEO6UnOWVKB4qyhUIUKCDrL4zJGkzUlIZgLLl3WJzmJ+ccSBsqZVM4qUo4sFEe1Mkjz6mtIGlARUyamXBCnplxjYxn8lT7M1b8wi0UldEFV7ndCCIcpZ0lBhkCaAyQhFiqdyaZgb9fAltx+VpqcZGSYLEavUpDzD+/vgl2tjZX7oyXstGQtP8eyCp52vaursZnLH+Q/bVlcVHQxIX9EpkywO2fZdC2m69g0LZuuwxorGW2lUEki36qwkZdyV4yWslxjpNsgSVTYGsvsvbyxSTjj5IMsWlIx0xSCF1YYFIJuRUGKqRifcnvLYdoyiLDEt+cswwBJihIZp4nRe56en9gf9kQ/UbtO3oAqE5SYmJqMqyuub67Z7rZ89/23xODxfkKbjClvsKQycwr4FGjKh5YPkRAT4zDiY+DaWUwliU5mX6LZMh0RSasBuIQbl3SlbE6kH/PTJqPEyq39QRoyZymWjSESgOAFb5ONkYNfK3zvpnZcbWqut1vpY3rKnPq+oGICbddyc3PLdrejritCzHz88J7T6Uzf95jK0Y9nfJzQSXE6HZjmmaausc6VD3DB5u521/zkq9/i6uaVoNdMjXWWq+vrgsIZeHx85MOHD3jvaVvLOHqGcaBpW+L5zOHUM/mIchW7m1va7Ya6rv+SX/EXXXTRRRf9i0iuVzJROU0TOWemaeb//v/4f/J3/+7fKTSDlnGa2G632MqV65j0Vtxd37DbXdMPnvP5xPF44ObmhuvrK2KKTOPE27dvCTHw4cP3pZ8xr91Dy2T9Mhz1/v37NYmxTPAbLCkE+mFgGCacqwUXkgTLEoKnbhx17UhJhoSurnaM41j++5rtdsfhcBS0aXncEBiGgXHsGacT1hq6Tcs0zuUantaE5hfv3q49SR/ff0/Oz1xfyeOsnIGmxuiaMI1MY0+OgbquaNuacRo4nA/klDgeDhz2B9p2w/3da7yPzLPn6fEJrSURcjqfyHtFt+1QKCrruL254fnpmXHsJUGqHbaWNYcqU6HTNBN8kC1mTkzTiC7TpGLCBryX/67KeiUuFAoSOi3kBploVbFsVmIgpIgpU6mCjq9KN7XjfJaEZPAjVeVkI3rRRRdddNGvrZ///I9p2rY0HinarqWuW0mk5UxVVXz55Zfs9y+M48g0zjg38+7dhrqqeXx84vXr1/z2T3+bx8cPnE4nvn//fUlRNGUf1/L8/Mz9/R3H40m6J43smJeDLWMNfu5lwNlHhmEmhERTt1JTYlTpixakmeDNKz58eKCpW96+fYf3HuhJWfoUx3EiZ01Kka+/+QVKJ7abjmEYOJ/PUL5/0zS8enXP/f0tHz9+5P379/zBH/w+v/2T32a73UrHFZRB28jpeCSmwDhFGaAtNIcUhfD04f17hvNZOjCLCXc6nnh+fqaua9oycDtNM5tNJ/eh7gR97v1aJ6PKeYlzFq0a+vMZreS6GsNc0iUKrQzTOJBRWG3w84y1hrZrGaehHCprskoriSmrvJqbyDniOkxtjWXBycrPyXA6nRgGwdfWVYO1FkiEIGueuiDUrbVM07QOUVdVRVVVKKW4vr4ua6JxRc8vpuThcEApRdddiEYXXXTRRX9RWhN+SHKxchUFKAck8tSTFbiqwvtIygrjhALog5ekvRVbZD1jlr8slRnlGo5S5JTXjscFT7qGUrIk6YyRcIoPWZCl2q7DMzkkub7FABhJ4eW01nFAwcuy2JdaOhWRQJOxthD+ArrgSBMZ6ypcZTFWk2dP9POaXkxGHo4uNXIg+16lFCqDUVo6LSn4WYCYxURNCZR8P6MNRkvv4jxNeD+DkmFoa8XgdeV5FHpTlHRhTJJk1IZMkGuuseUxJ4ISd0DumJEYYpJgjrEGpeXxS79kJifZj+cYSClAlj7Q8hOR6pbltQGQMkZrMuLLqOW2ciYsqNvlZ4yYjdY52b9rMSpz+mROr/2Pn5muq1lciJTyOrlUq/wqXUzIH1FdO+rKYdqW1lh0yrRVTVc11LYqL16ZctApCAYkRmrX4pxliB4/C9oMPhlqhkxttaBStWLT1usUxDSMEJLgjaOkGlNQYvj5CV/MS1jKUcE4y7bayWRDSoSUycrhY0YTubm7Y7fdcj4emYee4XQkk7i7vpaUg3Nka1DW4EkcxzPqw3fMXw98+/UfQZ5pG0tMusTFZdIgGtCV49QPPB6+4TQGQY/OAWM1KQbmMVA3Fa/ubmnbjhADHz9+5HiSqUnygpSV3saYk6QISlpy+aVLl+Jy4LsgT4wxJWUQid7jZxhHR86WymhMU+M2G0KYmIJHO4OtLcYqxmlg9jN2dJwOR9q6YxpmpiHQDyM5wjTN8pzGkXkcOR1e0EpLCW4KxKSwdU1d1TR1zfXVNa/uX3N38wpXdRyGPSoqXOUkWh4U22ZH2GaePu7RaaJpa7TxRCAowX0rJxesbrPj7u6em/vXWFdxOJ3/yt8HF1100UUX/dlasC1LEnIx6f75z/+I//d//B/zr/6r/0Pm6Gm7jpgDLjtyzLjG8fj+gU23w1YVVe0wwDD0/OHP/5DtdsPV1ZX0SucgZmbXrekGSfln/DzSn4/knNlsNnRdh59HcrLkFAVvZgxoxzCOKK04n09M00DT1JxOXnqnvGMepdPRWMv+8MLL/oW26aRP0ke2mytCkEO9lBJVNTPNE9F7TOrw88T+/RMpZerKUTeOwEw8z5weX+QxaMdXr99wOh34+N1/xcfvFK9fv2a73VHZisa1vHt7z7k/cj4fqZyl7iqqtmKaZo6HI+M0kYLn8eN7Xr15R9M0bHdbpnFmnGa0zoKDexzl2rvZ0DQtb1/flyGsAGpeJ16rqsJqi1WZKUzEOWC0dFiM5xFX1SitmaeJ3gfQQLehbmq6rsEFy/l8pB8GKPOSxmimGAjBF+wrBO8Z5x/2WYc0UzWOprsjhCBdmufDX8dL+aKLLrroN07naWROkaauadoOU1WEHNl2V/zxL37OFKT3uOlamrZjvz/y8eNHhmGQ61JV8/D4gbqWehHBaQZiSIQge9iHhw+lNyqKqRdmtHJSmxI91ijaZsNLEOpAPw7M8x5jLIfTC3Vd4VzFMCnaVlKY+6cXnh6e2W6u2e2u0FoS+841a+Ku68Ts6/uBzaZlGif2L4dyfbZYZ1AK5qknhnEdWvryizd0bcV33/wSYwx3t7fc3t1ircHUFe9e/w7Pz0/0/UkSkW3Dl1+848PDeyqraa53+Gnm/PLMT776inHybF7dc319xencFzRqYuylq3m73UKVeXV/z3fffcc8DTjnOJ5OdG2LQvbJTeXozz3z5DEludD3JzZdh0YqTE7jCYWm23aYrqHbdXjvORwOTJOscQSDbohBrsG6XM+trRjGkZwTzknnplEy3Hy129E2DcfjiePhRahWRq0mrjFmNRGrquLm5oZxHAWxXjCzh4PQIZRSvLy8AKyH223bst8f8D5wfX311/eGuOiiiy76DdKsFZ2rscrx5qsrog/EcSArBTniuhY/Jw5jj/Iaoy05gqtqtlW19hy/vOzX4aIQAlXbUFVVQZdTKAqeECLXNzfUTUsEDucT4+zBaFzl8EE6IrWrsLZd2J6kGEneU1UOZw2Hwws51+jSLZ1zpmlakjbMIeC0wRlHVcnQa0qJEAbZd08TKgW5Pl9dQQz44Ikp0+06tmYr5+u6JiYZwMkp47RCp1L/oTXWaKxSgoDNoGbxMgiB1PekEGjqispZkvdS3abBqMwcBjEVoyVFR3QJbIVSBucaXKUIMTCkkewctnKkIN4HyuLqttyP0hup5RA8KIWuHDWZrBVaaWwhQsYwE6YMKuLTRM6B2jpcZdEa+vGMyZTkJpDEwGzbDaqWa/gUohAJZ4/blDP3JH2YWgtJUpllN19+aUmQ+jD9wKyMKRJzRuVPBrbKCtCofKEa/SpdTMgfkaBIKjpbkWZPmr28SWMienHyXWEDxzSTc5SOSJVIORbessSGKeiQJcKttMI6K39e3HNtDMY66TdIIE1DCh8jxCCx5TLBkFIS/GrWNG1LWxbx0zwxTDPTnKUnsW24vbqia1sIHp0iViu0stSuwlmLQpETTLNnGs7snx6Zx57jyyMheuqChTPG4ENgCh6fPUprIkmmPo8jx37GB5lstMYgEyIJneHd69fc3N5z6s88PjwSfKBpmzLVCWvZLcBnJuuiz03J5f8XUxIAa1ExrqX0eUpErYX/rCDmyOk8cOpqdmbLHBLDNDNPHqUnMnuGUTaUT0/PzLOnrluMtihjCHEkpogioJWm/JjJSpExWNew3V6z2ezQ2nI8Hcl54HgSbMvkPbMPjHPAWsc4eZStUK5mjpmsNNoYstLMcyShaTcdr95+wZt3X7K7vuF0HjgPD3+5L/qLLrrooot+bWmt+S9/75/wr/6P/0e8/fIL/OwxGGKIKGd4ed5jlWPsRxoUx/NJNi1as9101FXF8XBAa81Y+o7btqVrW4KXA7qlF9p7T4yxJA8mjBE83IIKAwhR0bUdxshinhzwfiTFwDQGBgXWlkSC1hzPYsRprZlGSU9WlV17KLVW5ByZ5gk/juQ6EsJM5gqNxoeZcRpQKEKMzOcZP3tiCmgNxkaudg3eB95/9w3fJ8Vud8XNzQ1Df8Y6VagEgf54xjnZiHWbruDPEt4H9ocXtpsdm82W7WbLwkcZhmHFpp2PJ8ZeTGJJNEpH5WazYZ5n+v7MmARtl3MWnKw2TOOMMYqcAjkprNEY7YhkhvGMjzMbNoJ8zW1JlQa8nwmh9GLXNVXlGMd+JTqkxNrhLSkYD6i1s/P29vav7XV70UUXXfSbpPu7V+xKsn+cZtqN43g88fHhgevrG7wPTNOB4KXOY/kMTinx8vJM0zTsdru1I2gxo6RbMBWijmC+hkG6HK+vr4FPe9UYo/z+1TXzPBGtJcWI9/J3g59wToabz6cjICjW66s7mqZFKY33cTVB67omBDkXUBqMFZTYYC3WisHl/URMQUzIeeT5+YlpmtFaDD8FXF/vOB17vv/+PU9PD+xKr7T38nXWVQxjD2Scc9zd3fLh/XvIiU3bEEPk5emZN+++YA6Bum25f/WKYZrY7/cMJ+l8PB6PnE6nHxzotq2QpbyXDskqVIRpxDlJFsYoXU9KKcZpFPqTcbStrBvGYSBr2O02K4kihBmUXMfHcUQp1uTh6XQkZ12qdhLTdFp/nktaMaVE17W0bSN9lVmMT7ntsP5Mp2mibVvBzdZ1ORwWMoT30im2YFpDCGuK8osv3vH09MSHDx//St8DF1100UW/qcpAVJLoy1rSgNHMaOPQxmGMI1orOE3k3Fs7S9201E2NNZZxGlFGzMKsQFup2IpJzumN+lSbllPGh4hJkoCcvCdmqfCoKiHkFUOgDJ1qoRgmSfGFFNA54awMx6QU18BSzFFSf2qBnAqZRyywci6ukJo2rTBKoXKAoMv9TyhtZFg265KUFDyp0roYc/KYVMokpQgLGjVnUgqkGAVdGuR+mpwxORP8zDBKqrRuarq2YhwCOSes0WilCEH2+KmkHGMG41whDmWMEpMuo0rq0XzqcSwER5XlsWbNgoWUbkcoPZXisSgAo1FaSTo0BlL0UoeiDHoxOClJxiCvgJyk+s5aCwtqVxcTVClJb5bX1WpFCLv1V78Glz9bfIqSYr3oz9bFhPwR5Szo0LauwFZEM4sZGaOYZys7OJG0Imf5/0DGB88UA9L4l0vBrNxmRNBfaEgRxoIRiWR5MxmDMYWjrACjiSGBURglE/U+BPLsGeYZU1Vc1TXb7UaK1l/2pPMJ0CQyp/0Lh8cHHj4+oGLiutvinGFTO1prUdrQjzMqgdOWFJPExWeJWNeupnE1MWV0TljtGP1MQuFD4tSfOfcT05xAyQauqm0pcpWDuBAjz8/PctBaUGN9368bgJU9rRBzNeUfmI6f/0zg00ZwMSFTlg+ajMGHTIqepOF87rnuaqxSeD/z9PCR4+lAHzJTgDkq8ugZ5jPH3pPRnIcJPwemoGjKBUqZGlOY00ZJY5PK0NYN17f33L16xbbbELzn62/f84vvntBWEiUZCqo246qGpm3QxpCywrYNOYPLwvCOSZHRbDYbXr19x6u3X7C9usHVDdon4gqfvuiiiy666G+qYsj8wR/8IcdDz257hTWOsR/IETG41IRBr50L11dX7I8H6qpinmdySrx984aUEqfTiZfnZ/rzmevra7bbLaeDHFT+yQPJvpcUwjAM6581TVNSlgMxeDabjvtX94xDz+PjR7mulsm+c3+m7weeXwbubl/RNB11U1NVDdM4C5YkJ1KKGCNpA9O1hMmjguBinLVUqcbOFdYY2RykWMYsM4pMPzwzDQPGOu7uOoZ+5OXlhY8PD2w3G66ut1irsVbTtDXDMFBVFV3XUrmKaZ7J54Fh6DkdT7Rtx/39K9q2JcZE13U459jtdszzzPl85nQ6YYxZnyOlFNvtVhBq5zPTMK4HymQ5PLbOUVc1IUQOhwM5Z7rthu3Vjr7vORwOnM9nmexEzOelF1RrTQievu9xzqwbWNDr+mYaxbA0Rszfxai86KKLLrro19fNzS3WWeq64QrFMI68ffuOjw+PkBV11a1486WfcbPZ8MUXX6yDLN988w1v3rzh7u4O59yK3FyGgxYs6ziOjOMoKYqqom3b1VBbTLK6rrm9vuFwOPA8TmilMdqQCuXn4/sP9MPA3d0d1rrV6FpufxiG9TqzdDDGKOmFq6sdWusy4JuolKOqHdMkSQpjDPM8lQ7KGacrdlfSI/38/Mi57+n7nm7TrjhRrWV4Z5pn2rbmiy8KuvY8olB8/PiRjObm/o55mph9oN10pN2OTbthGif6vud4PK4G3TzPbLdbrq6u1jXOPM/rvj4XpLl1jrppSSnx9PjMkCZubm6o6oYQPOf+zDCciyFsqKqa2U/r0JL3c0GjWjabDTlrxnGUs41iHo7jiPeCac05rz+znKWmBvhBP9ZiQC8DYMD6s2iahu12SwhhXS8453h+fmaz2RBCYLuVjtE//uNf/HW9JS666KKLfmP0iRCYSqhHgh3KGlzlyLEiUxOVEoJBSiity/k8hBSZy7l+zIL0XhCdIQYxL0voaGF7j9NMyJmQEz5ElDUYayVIpATQqbLUnKnSHanK/jdMAymGUh8WSEqusSB/z1ZinJIjOQdyFGNUDLhivmmNzhqtMipZElHShEoMPpULTTFJyEdpW9Cvcm01RjoqlRIjNKck/kaYiDGgUiD5CElwqTpHtILKWlIxE7XSGKMFT2uNhJMmcT5ijGsQyNmKVHqZjdHSMZkyZOlcXPobV7+PvJq9KMHUqpQwxUDMZQAbBVaZ0rUsQ10pJVRW5TWgBWebwAcZ9o1kYkH3Guukn3JZdwg///MX1uf/+m/9OvyzwlQX/VAXE/LHVIpXs81UzlIZS7KesBxSST8tCdDGEiKgFCFmZu/xIaKVKWk5eSHKx0ciKTBGuh/IWZz4DFkl4vLtyeXNFso0pcU6W6YYIBJAafpxohlHuu2OCPT9gBUgMUwzh2HkdDrw/PRIU9XcbTe4ylIpMDFgjWUCYvmgSkGSngrIIZJDJPiID/IrKQgJRh84jyPDMEmvRl0Rsy6JTlUmNwxKaT68/8A4z4zTxFy6HEJkxarOs3xwLB8EKcU/ZUKuhbE5rxsVrWXKw5cPs6Q0MatiIGdC8EzjgLbgtHCbYwgkLKZq0HnmPM6EMNDULdY6tKsgwTB7MBZb14DCaImjV66Sn1WK3N7c8fbLL/nq3RdUruLD+/c8f/Md33/4AEqzu7qm3XSC7FGGbnfNjExguLpmd3VNXTWkSdIRrqoxrqbqNty+ek13dc3L6cz4vCcpTTbur+71f9FFF1100Z9Ly6Xr3/13/4/8e//evwcJvnj3DlvJgeFms2P/9MJ2u2F/OjIPA23bstvt1oPM7777jrquqeuaq6srxnHkw4cPfP/993RNK53DznF7e8vV1ZUYZF23mmOHw2Gd8r+6umG325JTZJ4nvI80Tc3dzU1J7nmCnxiHkdPxyDwHYgqczydSgpvrO5qmW4eHZGpTycRpSmSjqFyzrt+tctSblhQj4zSQohAScs54P5aBnE6GtzDc3L3mt8pB8MvLM8fjAR9GlJJuLGMMVe3QylBVFXVb4+qqGK4j/XBi+OZM23S0bUe33WG0XVOhrqRJvfdrauLh4YGXlxeur6/p2gbtDAYnKLl5RitJnfgUsZXj9bu3q6H58euv1+4rObz81BehlGXZTmmtST4RI2tylYJ8WdY/oDBGkHAhBMaSFLnooosuuujX08cPH3n1+jVdt2H2gevrW07HM2/fvOP55YVp8oSQ2Gw2tG0ticJh4LvvvkNrzatXr9Ba8/LywsPDw3pNBjH1tqUzcaEQVFXFhw8fhGIwjux2O7quo20aTscD0Xuwlm3XEbyXPkOlxQjc7zmfjjhXkYIMFS3JSyjXk5SYpmk1xgCqqpIHmyJaK6qqZbORvsRxHASpXvqLrbVsNlu6LmMwMmxbV4Tw27y8PPP4+MDpeJZeY8Vq6GmtCGHGGsd2c0XjGk6HE7vtNd9+9y3ncWRztcM4yxxD6T/+dP1drnld1/H+/Xu+++47pmni6uoK5xzjOEJK9L30ZorBWq17/bdv3zJNM8/PQivqupbt1Rbv59XctM6w2WxIKTHPct6wmLLzLENUTdOu3y+ltKYUlyGuxYSu61oGvstZxCcjOazP+5J4XBCsxph1wOnm5gbvPafTiVevXpXHlTkcDpdBo4suuuiivyjlvHY0phjQ2kilhrWoXEFq0TqTvMMnT/ARlCZlCdPIwAm4qilDMBptXEnflSFdo8U0Mxpd+oX7aZLz/KamqmuMNUiTYy5BJVAqo5EO55wCKXnmeWQaenKK4Kz0MJa+xhADVazoug1ZZ2LIn6UBM6QklYRL52DOkGJJ6pc+5JgkBVjMtpQztph9MWVs2cMrpVApQoCUMiEGUvbE4KUzMmcJB+YEqZAYjAwJaYSGZK0liXsnZqHWoDSzF/PWOIvSGqOBBDYnksQkyVmjtfRipixmLVq8koWmSEbuR8mBLrVwktZcyznlNZBkyHsxKbPOlLpQvI/ElIlA1mIYG2tQ1n7yHkpWdk288kMD8r/JVPyTBuSPff1/13UxIX9ERuvSCySpN6M1ylm0UuLwry68JRPXF15KiRQCGiUpACUxYLmdDMlgtcFas04hKKWYJ08KiZxS6ZeURW9KgaqWBW4OkqpMPhajUDEOI9FHpmFiHEcePj7QuQZrLArpqIrTROsqrFY0ToplVU7kGAjziFOKOXlynMnJY1Vi09XklGjqCuMMMQlubQqBaDPD5Dn1A/08EZNG608TIDFmjJaNkXMVqUSflzd2XddcNc2KSXl+eeHl5UWQJikWNvWffvMuSYFlMwMS0Y5R4uepTIDkJcqeM+M0kedEbSI3u2vuXr3i/WFgDjIxM0+TxM5TwOgKaw1ki8KjVMLPA5qEtgZlFJZcDg4NV9uO26srbm+uaJsWTabvT4zDmcPpSJgHdNtwtdty++oNv/Pf+5dQxvHw9MLz/oDSBm0rts2Gum7YbHb4nAk5o53jcOz5/uGRyQfu3r7h1bt3f/kv/Isuuuiii34tSSeRw8+J//Q//c/4+/+zv88wzMzjsaT/5eu6rkMZzWE8MU8T788nnKu4ubmWDoYkJfY+RlJKtE1NVdWMfY8iMw49TzkR/ExV14JqNZrdbstm0wmJIATO5wN9fxTUa10zjT3704GubYkx4GfP+XxiHAZSzNzf3nJ3d4tzDafjwHfffYu1FU3T0jR1SfoJxWAYBlRBvDkrg1KTnwgxyHqpJC1jlk1FVopus0Ur6M8j4zRhTcJax+5qt3Zy7PdPKA3OGXTpZlrQaJJYTGgFXduiUTw+PjKcz+yurklZrQeYn/dIpySHzUtn08vLC09PT8ybDmPs2v00T37Fs6YkaDetNVVVcXt7S11wbefzmZQSTVPTtk05gGTd4Flr6UzHPI/rmiXGWA5EM8FHYkw4V62H20uH1EUXXXTRRb+etrsrxtEzji9Y5xinUAgBG3ZbIQT44Pn+++95/fqephGE9oL0fH5+Yp4nrq+v1iT9MPSAXOcVgimLKUFOVM7y7t3bFZH+8vLMPI1cX1+zaVtOxxOHcS+f97ZiHiZeji947xnOPfe397x9+wbvAy8nSe079ykRufz3cu1dho+qqoKkGcaeOCyHg4vZpYqBmbHWSf/kMJAS7EuP4f2rO968fYvSmsenB1onB6taq/UsIoXMPAl9YNtt6LoN+5c9Rlvev3/PbQzc3N0RZi/Y9izXvCUlWFXVSj96enoqPY4Tm82mDBpVeB/Knl7hQ6AfxMgNMWKd4+bultPpzDSOHL9/z263WQeMpnFiUrn0OErno5iNcoDqfeJwOKxrgkVL+vH+/h7vhV6QkiQxPz9ziCUhA5+ITMAPDEprZfhpMTkXLCuwIvIXtOtFF1100UW/prJUgZETPgTQBkMCrTDWUlGjdSIbS21bYij404UsWPaoTdsAJexiraQKtXzGo+T8GW0wxpJUIuPFaLMOW1XyvSqLrSqxBJSct2cyfh7x80jynuhHcpyL8VX2ik4GUlNKkAPkKEZjwbGCJBuXSV+lxAzV61m5eApZJTkHz5QuSk3KQc7Fy55WKYWzDqWlBk5pUzyNTPCT1MsB1hqslvSjM4YQPN5P4n3gxIys5O/7kKSCpGpIaGbvMc6iFaVcTtYgpIwySszBcp9Br48RtXgp4ndQrr85ydlBToK1TSmRQyAWr0YveFUDfp7EQ1EShsplHZKX504LdVIvBuQ66JXF9FyoRcvv8S+QhvzsNXnRr9bllOPHpCXVl1Jijh6r9IpLSUDMCUnIKYgJVTqAyGCyLE6NMiQFqbyQE3lFDlslL3xnKnHbfcSjiLKPQaMxWpGUwqLR8nkqsepYfpHBZwbfk6aAjwHmSNJRYtg5M40DMQTqylE7izUaBThrsVozzRPZKGIciGECPFWtabuOGGZQmZhmUvZokzFa4X1kCpE5RhKUrsqEtRJ7zkkOFNu2pa5qcoJwOhFjlKnKusI6h7V2nTLMZYJCa00OJZb+J3og/+Sv5WtkgkSKdpfJhZQFx1rrTNQJj+d621HXFVcbGPqeaBWqqwiVoXI1m66TjSeJ2siH0Nwf2HQNJmVMMlQamtpgtcXkQJx7Tvtnsp9QydPVjk1TM/VnbE4YMl1V8er2hq5tcFXHMMwcj2escXTthte3b2maDcZang57Uog4V2GNpes26BDY7Ha0XfNX/Ca46KKLLrroX1QpZVKUycL/9P/zj/ndf+1f5+X5BYUceO3331JbJ4dWtUMbiDFwe3ND3/d8/913XF9fc7XbrVPzy6Hj8bBn03XsdruSHHzh4eHjeji2GFlVVa2Hlf3Qs9/v8fNIXdcoMk1d8fLyAlkwLIvhppXh/v4VIQSUmrm62uF9ZBwmzuczMQa0VrRdQ1e1NG3NOArpIJQERKZMdDpH3TbkLPc9BI/Rimmaubu5Zbe9YRxn/ByYfeCbr7+lrisyibu7VyiVeXp+xGnLdiMHrX6aJem537PddBhtSo+mkwPiceSff/jnfPHFl7x+/ZqqIG5jMXKHYaBpGq6urtbkQgwe70cAmqbBObfuIebZU1WynhnHkYeHB5mG1Zqbm5ty4Djw8iIHyV3Xls7MTIhiSC6dUyB9VPM8M89zOaj8NH3pvRcs0EUXXXTRRb+2DvsjGUXTNPTDyOwju92OYZxp247T6SyYVWv5/vvvuLu7lf7lbkPXCQq0qtxKFnjz5g05Zx4fH5nGgXHoV0TnYkDtdjustdSV4+HhgePxQIyBqiT5Q0q8PD8DEENgGmWw5s3r12w2G4Z+4Pr2hqiMXFfL8M2CD72/v19xoEvKL8aAQnqRtNEYqzFock6fhl6Cp65ruq5Da4M1FdM0s9/v+fkvfknTiMn55VdfyVDPOHJ3d0vTNHLNGgeeHh8gg7c1ujK8ffsWHh6wtSRAh3Hmq9/6CUppjFLrtW5JDS7Pz2LEDcPwCY9KLh1OspaxzmGdHO4eji/Mc7n/mw3b3ZYYIy8vT+z3+5K4tLLuqBaTNRbjsy6DRHIQejqdGIZBhoRKL+XSVfn5OmoYR2KMpQdbrwNCS3/k8hhcMSsXslOM8n2rqlrXb8sQVNM0KKU4HE5/dW+Ciy666KLfYBmlIGViDEIEMEaGZY0GHJBI2qJ1whgZBJ2miRCL4eac1KChJLVIJqQEBcOalJI6Ea3RxpINNM4SyChjydqgXUWzaamcI6VMzGIWxpiY55Hz8UiOM1ZlnNVUdY0HlFZUdQ1K4X1AW0vOEkbSpVtxwS/qNXWvsFpj0ZKOzIDK4jTkRFIK/RmeNRdzDVjXK9oYrK3Q2hYEbcIqx1yCVaYEDVWWZKXWYLUSczNnJj/RtA3GWKZpRGlFW0l92zgPKOyKhEWBNZpYBnTlOvsprSlGQl4ykPLPknBdg0lqTUZKYCtBSqAN2hrpntSypgohkGImFVNTG4Mu6UZlFwPSrgNGaul8XIaT/jSVdaVa/ir9KRzrj3z9f5d1MSF/RMsUhA8RnxKVKYvPlAg5kXWZgjQanQzGSr9AygldsJmVcUQ0MUsnkkXjjCGpjEYTvXwwKa3RaCrj8EkGILRaeiEVWstiN6aEVlq6G01NDKEkMTMqKZyyUDV0mw2QZVGttSQUnMVWn37sMUY5lFOJYRpIaibrQMoBbTJKB6xRDNPEME2Mc2COER9hCppxjsyhfNAZgza6MJclNZoVTCWOHedYuhtks7FMnyzdGUtHA1qRomxCcsxrP9LyAbEs5pdNApTuTqVIKRD9jDOywI9Jmjh9TGsh7nmYeNkfiBmcStgccbXj6s1rrq+uV+SOzjMhJnLKVGhsDjTGcLNtub+/RinN0Pecj8/8vD/wvm1pqrpMUA4MhyM2w812x9tXb6i7DdO55+f/1T/HR0hKU9mKzlXsug1t21FVNae+p+8H2t2W69sbqm5Du9sSMrS7Hf1w/qt58V900UUXXfRrSBNjhqz5/d//ff5v/8F/wP/yf/6/IIYgyUFkHf/hw/fUbUM0GVdVPDw8oLWmrmvOZ/m8X/BeC5bs9vaWGCPH45Gc89pfJB2Ecvvee5xzbDZykNo2NVpdMQwjp8MLAHm7JQVfDlkrcqzJIdLd7WiamoRmGEbm6ch2e8VmsyEGQcF5L8nJYTiDQoZoCpZUDksjGZkmlQM8VZIIMzkFtKoYpgkXBWfvaourFdvdjpeXF4bhjDaObtPQ7bYMgxwa9r10XW53V2y6LdMwMPQDw6nHWE3b1Lx69YrNtufcD/zxH/8xXdetyDzv/WpEgmzGNpsNx9MBZy2z9xxPJ7bbHXUtQz9ZwRw82huU0bSbjli6wfu+Lz8X6Zccx7E8PzNKKeq6wlWOefZrSqKq6tWU3G52eB9K+kOQOmO5bxdddNFFF/16kv2j4E5dVVPXVrCqTUtKj3Rdx7fffsvV9RatzYrw7Pt+Ne92ux339/dM08TLy8uabttut2udyDTJkM6yV+26bu0dluGhA06ZtRtwQaOCGFSvXr1aE4GHw4H3799zc/eGtutW83ExvT58+IBSau2kFOPLS4KCjHPNaoAtB4/L90sJxnHGGIfWlro2vH3bcjjs6fszda1pmo4vv2wYhqX3uC9JzIa3b79gGifGc880ymO+vrrixt7R7a54//EjP//5L7i5vePu+tOgj6DY/Q/6mPf7PTc30o85zzNd11BVNUpJCjXGhDWuXEulGmWeZ4ZBBobaVtKhWuvy+7IOWPodl2u9MZ9+b0HYX19frybugnM9lWFprbV0apf05kJUCCEIPrccXGr96XYXpKsxhvP5vHaGLtf6pmnWNUDXdXz48PDX8Xa46KKLLvqNkl16lVMkRk9KGeMqnFVCsVNW9qRBen4zGrRl8v16/nzddPiYsVbjY8ZHT7vp0BbGcSppOkXKisY5KqVxWhGVhIVMZVFGwjDaVozDwDwHmloQ75mM9zNWZ+q6kAmbWvCgSuHqiqqSPWo/DOicScjgrM5yDVmSfEaL8Wi0xWpJKFrrSodxQhWkaUxighnriFk6JY11kGXgVYVAihFtXMG7e1KOWCuDwkM/YJWFusVoLX6fskJmygkwMjQbE1VTY0wlWFVjCs5WE1KWdUmCEBVWZYw2pa/xU3BIQoiqlNax9jPqxccr1/McIykm2Xdbi4bVQMw5l729wtpKvo/WJan5qSsUa8laE5WkPRdJAnL9P/EhlfzcxRD9lIz8VcoFkfsnK+Uu+qEuJuSPaBxHzuPApmmpbSNRZO8JIZKV4EXRmpDBIhMH2kjMUbp/loSeJBJTiQ+jMlnJgaHgW/i0wI3Cqa5qKzjVMm2QsscHOajSSrjIumBALFLaqrVMG2ibwTpiCgSlSFqjrUZVDrQpkxIy4RGjHHyNcS4fPjNKZZSBrBVz9Mw5MqXImAJzCMwBhmgJSWLq2ipQZdqBjMqfcGMpRoI3DKeeyc/rpmCaJmLZHJmyQBfjUDjORun1Ofo89fh5L8ZqSuYsqNycgEzwHrSS3sumwTqD0WCxhGw4nkec1ZAidWVp25bXr265vb0rH2SBeepRM2hn0XWFzgqjNU1Tsd1u8d5zOMycjyeJ/ue8biZjTBhq2nbD/f09X/3kK1LWfHh84pvvPjDHSLe94u0XX1FZg8qR42lP5MjheOJ4PqErQfxWleHWXaGsIaJ4eb6YkBdddNFFf9O1XquUGIN/8Ac/41/7n/5PePfmjaTl2hZrNK6SCT6swVZOitXLAntMkW+//UYOsWDdLN3e3WH4NJRTNzWVdXjvqazFaoU3hhAD0zAQg3Q+LqmA6+srgg/E4NepfQUrFvT2+oaodOmT3DGN0msUwp6b61tJBDhDzrH8gv1hT1VXYro5R4ifEn/SJSWHqJCpKyfIdSWTjOMUCCFiyqBXzLC9ukZrxfHUY52h3VxhbM3Q90zjyJTkoLhtWpqyQQp+5tyfeX56Znt1T9N2nE4n9vs9Ly8vNE3D3d3dmmhYDnbHaUQbI2j7lGi6FmMtx9NJ+qRCgCzrrmXdYYu5unRFjePANI1rP5Qx0kM1zTOzn0lJEICC8xsI4VNaQ6ly4FnLINtl33LRRRdd9BejrmvIyPWs7TpmH+UQ0FWCNNOauqmoa0eIE4fjnqenR5qmIedcuvwSx+MBVRLu1liatiEEj1ZIt1B2GKXQRjP2PePQQ5aUXO0cdrNBa7Oam3VdM/uZ4+nIVz/5CVUlZAQU1E1Dozs+fPhAu+lWM2vZQy9YWO89m82mdC4q+rNcY2VIZi4DLr4kJ+RcYTED/RzIjFjrCMGDUlzf3BCTYGSruqLtNqScOJ3OnE4namfp2k4GgV69whrH89MTj0/PbLY7tpsdxlY8PD3y9ddfc3juuL29XQ3ZEMK65ljMw5eXl3WAJ6bE6XwmxrQ+zyg4no5YKxSlqq6Y54CfhYiw9FJJL2Ym5Vgwtan0Y1blWn8uh9GfkolLWnG5X+tzU8zScZrWr1lwrDnLgPdiQKaU1gEx59zaDzkMA+M4rgNhzslwuvf+co2/6KKLLvoLklp/SXIu5UhMAZNkACknMQ8zcn0mZ5yu2Gy3GFuGSJxDaYXSBle5NaijrJWqLyVnz0YbbFVJQlJrCcEohXYG7SwBIATmmPApolMWo0xrqqZGL2hVBItqjQE0KitSiJChchUhRLQ2xVOIKCSBqbP4CjkrYoigM9FHQiEICoIVYkrlNqQUcalQsUZoDYlPhEGtQBlFxpBCLv2MWlKSSI/kOMmwVciJnBVKKzCLaadIxUgsPSZoW842tPxZSlFIq3r5YWm0SqDk/mZFoSAYVIqE0nWZY8YqLf7FevNiCCp55sr3ld+fZ49zFZVzWGOJKRN8QLsKjAFjwRiy1qup+ydfS8u/85KO5DNE6696DX52W+rP+L2LfqiLCfkj0s7SbDo5RMwJZxxaudJpJA58VhBmj7bljaNApeWNE8E5slbEFJlCIARPzJEQfSmwRTYG2pI1nKdZEK2VlTcvcjCYAa8yU15MS0X51CArwZ9GBUllotJ4DQlNsgZVywcr1jIX408rRcoJnzM+ReYkb96YFTkGYTYrRUqKOWtmZQgaglGEDMMQ8CmjjMOqXLoYIUwzJFBZSRxaG+mECkE2QaXTcZ49s59pmgZbpgljjPgoXRD6M2MSfmg+Lgv/tR9SgcoRkzM6J1SOWFPRdS2762sao6kMOBLKQj96jFGkCMZWVE2HcTVow/F0oh9HptJJUVmHsY7kM1Ep5pwZChbn0Pf008w8T8QYsLaiqhzWOKqmxXYtQSmmGFFaMfqJ/XmPMo6NySidOJ5eeD68MHio2g5lhI/t48jp9IKPM01JSsYUCNPFhLzooosu+huvz4aLjNH8/s/+aekFzHg/8f70wrvXr9l0DVlr2awoISBkJROLOUW6tllTjl3XynWxDNssh2tWSwJQIemBBQNno1wrZUMlppgcUAa8nxiHUUw5pfjlL37By8sL796+k46m6xsmHzBasC0xJqqq5uHhgapyuErwNpDQxlBVDj/PjONAXVXSkdg0WGs5no705xNGG7pNuy7mVdl8xSSF8caKYeucdDlN08jsA9rIFGPGoE2FMVGGoFLm6emFTddytdvRNW3BxgWeTz0Z6aV+9+7dirN7//49IMjVrpPD1LZtGeaRum04nc4M4yj4vq6VjWjOTOPMVBIyzjmaul7xrsB6CDzP8w82HtZa6rpimoby/EPTtJ8w9AlCiMQ4A6wTsxdddNFFF/36kuHfJEg0L2lIUwaGjTVM04yQg0bIibZtiFVc95tNWwMyRb8YScYYttsNh6cXdNnbYjRGuzU5txhblGt5SpF+GLm6uqIKnm+/+YZpmthdXRFSxCqHqRxaaSbv8dGz2W449z2n02ntfZTEQqRpGmKMHEqnY9e17HbbddD34eEBYyy3t3dyDQ9yKOl9ICV5fMpYSee5ipQi575HKTBGw1wSf1pjnS2kI8V+/0JTN2zbDUYbXr16RX3qOY8jz8/Su3l7e8fV9TWH5yc+fPgAIHj5qyvatl07FBdjb5omSUSe9jhbkVIuJAhFW0xPUCXpIc+/bmpSjqQo6dAlJbqQIeY5rGZfVcn1WSm74msX/CrIemBJlXrvV6LBNM+cz2eOx2O5ltcrcndJWS5DScv3ret67Zhc0rELMeGiiy666KK/WMUYCH4mhUBKoQzzemK0VM4WsqBDofDjQC6I7aZrse5TLdjSO+zqGhMjGZh9IEQZtnVorDFkrbDWgdEkpUhaoZwgPiMarQzKVRhlyEqTcsbVLV2GFGbCNBDDcn21aG1QWjPnmQSgpOfQWgdlkDmjscbiyvBUVEH8hpLQ1EZqUJTWYBQ6S6DHfhbmWa5dxphSo7acqy9pP43XSoa2rMNpJ1TCmPApSU0lYtQaY1GVITtNVgat7dovibZUtkJp8ShC9OSUgURIkWLBYoxBKflvtC6hw9JpmcT/0CHK91PL9bPsnWMkF08jr/Zzlgq4nJmniaBluNkYs94vjCUbMSB/zFj8F5H67PbUUjHHxYT8VbqYkD+i7z9+5B////6/1M5Ru4rtZsM8Tkx+JuWMsTJJELynRmEL8iXnVLCsGWuk7DWGgA+hHGglfPRrobmkDRw5wTD0MqlgHaZMLAr+YyqpRWE9y7yHMJFTynJgiRiJKWeMs8XGz2vXE+XrjSqFsFn6qmIUVGzOkZwilA8IyJyHHh8yPiVihpAzIWb2p4EYM6lgaTMQc8ZPXg5fkU5LhZiQBomGZ4RtnQoTOn323KSUUKi1SB74Ux8Oy6Zw2dwtnQw5SbGw9vLn0Tu0ytSVZVQKZ8CoLNzsKLgapcBoQ70f+eX7F5yzpAzzNDF7Lxet4NEqkqNCac0pHHk4SrdF3w/0w1BM4oyxAefB2kw9HzH9yC+fXviDb7+lchX9ukGrOPqB9y9P8rPNmaxqus0VbddhreO799/wh3/8XwkKphbe9jjPvLw8/VW89C+66KKLLvo1lBFciSvpRmM0/+Df/gf8H/6tf4vf/u2f8JPXX3I+HvBeo6xhfzxRleTFgvlKKbHb7dbDrWEYpMMiBBpXEoflWrisJz4/6KqqqiTsKvoh4H2i73tS6WbuNg1+EsTpOI7c3tzS1DXv37/H7F/IaLpuQ+W6cr8yr9+8Ksm/kWkaUKokPRpH13YYIwXyfpo5n0/EELm5uWL3+g193zMNI36aBLNmLcZUBC/rGGMyIUSurnalk4MVYTbNfdlEObpNRQoeP0+ospM6HXqslh7tXNBnvqBp53mmqio2mw1XV1e8vLxId+QgaNemadhe79jtrrDWMY4jx+OR87lnu91Kj7UT03F5jpdDSPi0TtFaF2RdhVLQ9z390JeDSjkglYSFX1F6kgYJxYgU3Nv82eHoRRdddNFFf36N08DN7Q0pJsahp24Eey6ocEeMGWM0IQh9ptu0ped3XBGo3nuurq7Wz3prxcyi7LmX4RRrha5zPp/XIaRpmtbkfLvpOA093377LdYY3n7xBcM48u3779ek/HazKcapomlbus2GcRw5HA6M40jXdSsCdLmuxRg5nU48PZ64utqx2+0wxhQSwDPGOIwWFHjOQinQGpKfqaqaqqrxfirrByE3eR8wRqOVpa5aFJowjiU9Ks9P8FFM03KNTUpxOB1BaTbbDW/fvmOeJ06nE8/Pz7y8vLDZbHj37h1dJ6SCqqr47rvvmOeZza4jJlmfvH79mhAi4zjRdd1qoH5KEsoZS7PpsNZyPp85n6VncZom2dOnyH6/lw7rtqVpKnJB232OV315eVkx+HINFypBTInT6cTpdFqNy5SS9GqXYSMxPKX30jlXaAa5pE/NmlQdhmHFtS5rh4suuuiii3495ZSI3pNSQKmFDBiJEaJWZeAVMfeMxceEj6VnUZuCcpXP7awMSlvIEtaJKaCNRWkxGZWxZLSYeKr0I2q1di+mrNFKY6tG9rQx4sMMxuLqmqASadbkUtmiUpKOQiUmnMqQs0Iri8YiWNCMLtk/MSwVZLPuK4WmU68eA0oMS2MrjFYyCEUmK0Usg8hWlWt9ThKcypmQEylDTHKGr60hK0HTKhS5sFG1rdCVQzlD0rkkSGVgicX0LDTHhBileTELiMQ1upjWZKdSCvSSPixfutBPUybFJLef5A91SVAq9ZmRqqC1VsiRcyjUCKl8SZ/ZCTmLJ5FywulPONbCX/3zvQjLff38b1+SkL9aFxPyR/Sf/ef/mP/8P//HRO8Lf1lc7ShvKUCt/7WkixctqWT12f//yT9HQwk2rlKffa1WCytZPP7lKz+/7U+84j9t2C2fj0p99pfW2y73Yy1b/WEE+fP7GpG8Q0at/1aaYoaWG1P5B99jmcxQWZfb+/ScfX7ncimBzWVBrrSW+YhfMZiwPkb1+QNImJKYXr898PT0xB/+4R+ikOpbU56HP3nTn/+M/uRzkT/7mj/5937s/z+/7eXPjYGQPrt9GVshIxe1Tzfy6RAaJQlbeY4uCYmLLrroor/pUkqTUvzsYE+umf/Xf//f53//v/s3eXr6iAbmeSakiHHN2gPtnByOzvNMXVUlcRdpm4baOQ7HI/M8levSYoAp6qqGLL0TYpTJpiZGL1+vpf8g5CQIcwSd/vHDR7qu48svviCEwI25IVtNP0zs93uUOlM5GYb5/7f3Lz+yZVmaH/bbj/MwM3e/Nx5Z2VXd6FIBhEYSSHWTIiFC0p9BQANONJXQDUoTTgSC6L9BggaUJoRIAqSgsQRN2Ex0D9gCJyT7QYgS0VlZFRVx47q7Pc45+6XB2mvb8ZsRWd0ZUZmlqv1leV13c/PzMgtb+6xvfd93OkkD9uHhyPEojctt2wjLCmOBbCtZV5iHkWQTr88vfJsC3vlqezdKZnMxGCylSKPxdls5HA7IcsAyjRPGQIxnlmWr2UqAgZyksp+OD+QUWW5XSsy4earrNQmmd87x+PgomdCXS7M91Ybyy8sLz8/PfPvykdPpgZQS79+/Z1031lXs3rwb3uQ4As2CTW3YQxAVqLWWZRErOG0SD8ORnBPn82tVTQh5/PLyQsm0wTPJzrT4qrbp6Ojo6PhhWNeFdV3IOfN6lsgLsdgcKMDj6QhFPtMLElNSSmaaRgCu1wveO7ZtpVQnImMMpiauiEWnqCApRezC16VOxkvN9c5hjOH1fOZPvv6a9+/f8+WXX7AsC4/VhnVdN86XC8u24p2rRJgMvIzjyE9/+lOJiblcSClxOp0wxjRF4eEwMw6F8/mV8/lch1xGvB8wxrFt1WJ02QghMM9HrHNt0KfkwvF44vX1RbKrvAek5kq2pOVY8ylv1ytbgafHd4zDSEiZ8+VKpPD0+I5Yybs4jhhTeHp64unpiZeXF87nM//4H/9jPvvsM2KMfPbZZy03c/t2ZZpmpnGuhJ3n4eFBjq/cB5G3NYgyM6dWd3OWoa/TSRSj1+uFnHNVXkaen5+5Xt/mawPNQn1d12aVq3XdVtelh4eHNnx1u93qukiUJeIUkVru5el04nA4NEJSrvXcrHSNEceEjo6Ojo4fDkN1PCgweI+1hhREaALI/WZl17zz+KE0kY8QVb59RqvteWnDRTPGiQ3rYF21SLXEUrCVdVIXUlOE6NtSwVk5spgLSZLDJLbNChlpy4CzhhQyKWYoosJ0zpJL5QByAaOKOkNKmbBtOO9FYJRz7SFXHkA7AsVgau9YGurmvsZR1Wf1TzXW1MgX4TeSLmyMIVf2wXgHqZJq1Rq14IRcbMSdRM/JNRABlKVQDI0ALNT4tNqzz9W61VBa/1+O704uelcpBj12hGR240BJGYoImHJVWmZprDf3BIwlxFSJ29KuUsqlisV2DgXmB2gXv4NP6ZmQ349OQv4pUGsPuJNQRYTIaM6jMPWG+CkJp39k3v5YPmUnP3m3FyP/tcp/SuVOtu3f3XWfOEuuzb7788SnuaTcnq+kY9ntt1S1osIZXz+4CoV0Px7UcM0AvjU8JXi1jWy8Pe86oSgZSrk9tP9PW//DFIKVTx7XDyCzO69PCMhyv9hyMyhHph9aqSokdd+pnrMSs0Vfv91xf0o07gnh+rJ8NwVoqoWafsoauUnNqaDq8TqY8nYb7dTkCqOkbt2zNGIN1MytX36DdXR0dHT8eYR1sqD23kmdNhBD5Od/+E/5T/+zn/Ev/81/CWsMj4+PzM6ybmJ9aq2p9m6mTTCOg2fbMlvNHHx6fGAaRpZlEQIwBF5fXrh5z+effy6ZyymJPertxrIuXG+vnB5EaT+OI9u2cf5w5Zs/+Zqnx3f85Cc/lSD5mDg9PLGEjYeHEe9XqPYyy7Lx7bcfKCXjvePx8YHDceZ4OmFznTCNK5d1IZfMNA2Mg+fx4QgICXg9n3l9Tjw+PVEw+GFgGjwliwoyx8iffPUVmMLgalYEBecGpmnGOUuKEWs98zRjSyEnyctel4VwuRJS4lDVIDmL+lMbtXrjWQoMo6ggrfdgCillvv76a65XaSA/PT1JttN14XwWZYuqF2O1VjX1psV7z3SY8dYRYiDEjZIK67pxW8Tmz9SJ29v1xu0mOZTvn94RYmKLkh+piteOjo6Ojh8OUcPJkMlnn33O6/nMNIll+G1ZGAbPsiyUUpjnibAJwRVDwFrH0+MTw+D59ttvRT0XpMF2mCass82We9s2bsuN2+1WLdHl99Zanp+f+ebDB/ADv/tXf4/j8UiIkWmW4aPX85lxGnHetfp8WxbO4drqzuPjE6fTgdPpIA28nLher8QYmzLv3bt3PDycuN0Wnp+fyTlzOj0wThPGOA7HSZp9l4wxknd5vV7FTnTylTSLLcNRmpbiWjDPM6ZkXp+fsc6RY+TrD99wmA4cH58w3nO+XbktN6jHHIMMS92bvY4vvviCUgq/+MUvMMawLAuHw4F3797xcn7mfD7zms/M88w8H3AufvJ6gvMW60YGZ7ler0IEU4hrYF3ltXTOEcLG1998g3eOp6dHYhRbXs12zDk3O9V9z0dzIZ33kgtWCcfDPDfHg5eXl2azqg5NgLzW33zAe8fxeGyEpjFG1g7VFaujo6Oj44cjp0w0EQt4N+BskYiySs8ZxKkQa9jiIlan1kmuY84M09jcBaxz1TXQ47zHkLGDWHp6Y8VJIEvvu7RetKUUI+TfIHW05Cw/Y/FulKPI9i7gKQlSwo+OEAIxJwYz4IdRj1j61MbgvWRAZiDVnMdSSTRrDMbJc7FWdEF+qDyF9pXF9hTA1J5yqPnTrrIB1omHoTdWiE8jOZXYgvOeGCSX0hixkMXZmpNpKNZgrJcv4yS/UUInq3OCXAeMw5R4F1C9kQ2icZI1as3J4LQzIs0subb+5TX1TrIqU5KIu5wSMafGyxgjhLFzHqyIgHRHhU94ACVSi6k9h8pY7EiC7yMUq5ms8CNF+ZFKpv46b+a/JOgk5J+C/RsuvLHOKG/emL9Ewu2etn+8/IrfvdlW+z5/93Pq80pMb37WDZdUPn0q6f7rhv0SOJW3i/zv2CGwe85eQvm9/5XdCUi+62m6iV8iMHePf9915e3z4u53OeVP/6IRkfdj/uUNf/rIm+P+VZ8k+qHz5hgqybo7lPLpYb3ZZuSfTQLeP9I6Ojo6/rwjBKk42xbePn6+8d/+f/8pf+Nv/E0OxxPPr1eZ3HSS2WiM4Xw+Y6qlqDGmKfrUAk6s4laMsczzgePxxLLc+PbbjxhjGcex2Yyp7RhYUhTC7nK5VrWk53d+969yOp5w44wdRibnCDExHU+yuLZiT5pL5vR4ZF03UkpYC1tcWT7eCNtGDol3j088PJw4nWZiCJLTkQLXyzPDMPD09MjD6cD1euHl5ZlcMtY6pnHC+4FhchzmozT9rNjOrOvK+XxhXQM5ZcZhlOzFGLhcrizLjeNxxviBPMiNnx0Gvv72oxCG84yfZqbjiXmeW9ZTjFHseKzDD5YQIn4Y+Kt/7a9zu4m683JdGMeR+XjEes/tduO2LqxhY9sWvHP4asHnncM6xxbFRhbrGbzY04SwMnjPVrOo7DAyWyFeny/XOzFaJz3Pl5793NHR0fFjYBgmDscjH775wOnxQRp1zvHy+kpKievtxuPjI9454halKWfuqvuwRUbneTiKNffry4vYdQ8XhnHkuoh9tneeZV2JMTFMB863hWW5EUPEecdnX/6E08MDp9MJ772o4XLBjwOfvXvPy8sLMURKykzDyFY2ihWL2Fwizy8fyCmxbhuff/45p+OJh4cDy7KSciSFxPLhwjRPHE5HsX49n0V9eD0zTTNDGLDWcnqamMaZw+lY1fhiqXq9vhLCVkk3Vy3tEjEGrtcLjw8PouRLGeM81nm+Ob/wst149+4dw+QZ54HD4SiW50XIPs1yxBiWdcU5x1/9a3+N6+XC+XIhxIiLkePhgRRf2eLWiECxVh2a6tC5gVIk3zJ5SybhBmmkpiTKxm3bWLdAynA4iF3t88ulRbgo0buuKw8PD1xeXppKUR0Pcs7Ey6Wtp1RFcj6fmaaJaRw51nzLbduas0RKEm1zu65ca64lwOEwNyvd8Mm6sKOjo6Pj14OKNoqBLYaq9ANTMsV7hkHsVWOOGD8SciIby1TrWUqRiDjaOIsMBFEHR6zYtYPcd4KR7MdcY8ZSwbpKQGVIOYCx2EoQWmsxuVCyYXATzo4kt5LSRvGB19sLOBj8AN5gjFh5pyjWqKVmVxvr7nxDrkIX43DDQMyJnCWKRNV8zjkhZIsQkDlF4nqVTOiURE3oHMaJLWwsCWctx3muikSIRTIcg1rGVhWotRK4hjWEbMFYISixQkIayZHOiPjG4CjWYkomY4VINJLRrK6INhsshZzARGEGvfWMPlX3Ixn+MqXgTKGkiDdCRoptriiNNmPIRuxtsXuVqKn/E2FVLoVcDMWJ5a2i1Ofypmdf2v+XDEp9uFQtViWkK7+Q68/plxr/HYpOQnb8c6ITYH+26Ne3o6Oj4y8GVEuvngN3y/H/7Gc/41//1/8n/MEfPPDw8ETYVkLYWnbUPM+EEPjqq6+a5dowDE3J55yTG5+aOVVKYRgGvvjii9a4E1XHDMD1Ghmrvdm63lgWyS46nU48PjxRCmwhEpMoFaz3zNNBrNqmxDRNjdCEwu0WWRYh6lQJOAyel9dnPnz7gXESC7Xj8ciy3NjCxsvrC19/8ycMw8AweA7HiWEYq51cYN1u6I3AOI7kbFiWG2B5eveEX0QFes/SNkRnMc4QYmS53AghMI4Dh+nAZ5+L4uDjx49M08Rnn31GSqllPq3rymttQotF69xuHB4fx6aS2Dcf9TWIMTIMQ3uOWrEti5CWQHsNhmqtum2xDitZnBuwNVtjKJInFWPEWMs8TTjfl+cdHR0dPwbGcWKeZp6ensilVFU8iI0NXC4X1nXFWcvTwyPe3NWNSkblSjQJ+TRhn6SRtm6B4+mhZQJa57ClcKmZwwDv3r3jeDwCYj8mSvzyJoNQ1XSqyIwxtvq+VYW8qc1Iaw1/9ItfME4jp+OJx6dHnBt4PS9crxd4faEUah7hkS+//Akxxmolem05hZhCKZJ7WLA4B6fTAWtPzcY0xsDr6yvGWB4eHlnWhfP5zPF4rNbpmd/56U/5+PEjf/L113zxxRccDgexmX18YBwHXl5eWi7zPM/tnLZt4/TwwOF4bGpGoNVMVSDqOkZdAlKS3Ee1U9XBrKZk0UwqbQDXf51zxBjb9X/37h3runK73Vpd18xHhagpQ3OXGMexbUeGsWwjR62VQTJ9XC1iSxGXhXVd2bbQ1nEdHR0dHT8cpRKAxUhsVc5aYz3WVTUcBkcdyrVGXAqck/gOIznCWwj4knFehn6dsxjx0msKxpQzKQeM86DKwFpv7takoowrWUjKkgvjIMp9ZwzWGUwwpGwY5hlKwRm598Y6TDE4ZyBniUEriPOgqer9LVdFotz/GmvA7hwEjYSgmZzxbhDbWGsqWQgUWsYkUBWNFut8iwjRDLNsLMakul1Xz1XOuzQ1o8Xgal6lxVh3P24AI+eNKZAkrzNnOaRs76aHtmZsFiPEYsmFbFTt6WQbOWGSugSqvay6PhpydU9Sa1przT2nsg6Wad9CHArNP0d241sHRc27EzvY3EjIOynZ6/z3oXc5Ojo6Ojo6Ojp+gzDG8B/8B/8Rf+fv/LuUnDgdD/hBsodKJaW2bWOeZ87n85umpDavLGJ3BtTsJMk1+vzzz1sTzRjTmnshBnJJrZF2Op14eHiomRlvveM1+0hVfuM4tpwM3Y8280JV963bRqp2ZNu28c033/DVn3zFPE+M48jheGTbFtZt5bbceH75iKl2tF988RO8H1jXjdfXM1tYa46VJefI9bripwFjNLMrtybxNI2Mk+RAKRF4vdwIcWWeZ7wXq72vvvqKGGMjdV3NwtImZMowz3PLcNLsSCVah2FoBKP8zaXZuM3zLITu42NTSQCt2anHqrZsagGnr6uqL/R3PS+qo6Oj48eBqWTe+/fvMbXxaK3l9XyulumiSnw9n3EYRj+0z2hXsxw1rzfnzMPDA09PTyzLgnG+WXauqygiSyU6D4cDp9OJcRzvZJhzTS3n6vfrurbfSw5kbs4Hzjlyzk29r7VvnkWB9803H/j22491P0NtpomyY1mEMLT2a7788ku+/PJLjDF89dVXPD+/EGPCGkusx6JknfeO223j9fWlZWRpvuHxKFmHIYS2thBiUIi3P/qjP2KeZx4fH/n48WMjBQFeXl4a8WqtFdK2koN6niB1eBxHzudzu6YPDw9v/k73V0pp12yfueh3gzw6SKTPEXI1crlc2vpGyU6t1yEEYowc5pnD4dAe10Gk8/ncyOG9clIt4HVtpLVff5bhrcA/c8+zo6Ojo+NXwlfSEJMpJWGtxKBIrInUVkolpDIYY3Gq5qtkUYqRGAIliyLQlILF42x1uzNCtWVE2a/2nk3taC3ZGCy2qe6aE2GBbCzFOoo1kB3ZWlKxjOOJlFNV1DlylpFlySqUjEWc5CBiDHEJpJgZxwmodcmNzeJUjgOxgwVijngnxOEwDBgS3iVyyRLfRs3TNBZjCyElvNqYAmINKydbjKGynRRsJfRKVUfe1xDU661mpS2H2RkiRQjGklvWtFigKrEqw8UllnqtS3NGMhZKipSSCFuEnCkpY4rBOi9RNiWjc0SqTpR7fsmyxNZ/Tb22+rx/RhTKnbQs90i5ZsO6t+rtJOT3opOQHR0dHR0dHR2/IWhD7uc//zk///nP+b3f/SvNvutwEPVhJDD6QVSDfiDXpqUufLUZqSo8JQ1vtxuvr69iD1ozjq7XK9u2ElJgmkbJoJyPTTWwbRvOeYbhnomRKIQYSZUQa1N93FUHmhmlDbvLy4XkAjmnZm+Tc+ZyuXI+X1pes6sZWafTicvlwvPzc820OrQG4bZFXs9XUsxYZ3HWEfLSsqV1EtM6R8qBECIGW5u3vqoaZ5bl1iZUl2Vhnmc+fvyIc64pUFR1cVs2zuezNB4PB2lSv76+aZrqtfbeMY6TTMka05QSqlZRFYQ2dnPOnM939cb+hkeb25rppQ3Ljo6Ojo4fjnmaoJJFpRS8sdzWFe8cwzRyuUje7/F4JIeIrWoJ/QzPOXO73RrJJYr7UUgtY7lcr82BQLOET6fTm8EVJaMequpRybIYYyPjFEqYAXz++eeUItmNt9uNbdtajdBaE2Pk5eVFiE0v+UvqdKDH+/LywuVyacNH67ry/PwRWxuswzDW2mTEws37Fu0i+0t1W7IW2Cv+jTFcLpc6FDRxuVz4+PEjX3zxBSDKRiXybrcbS3U1eHh4IITA7XZjrmRfCKGRhao61PNtVqd1nSBOC0vLWbxerwBNqaj1WNdD1lrWdW227KqA9JVEVtJXCccYI9u6NhWkDiTp+gHug0YK3aYOOSm5rM4IOrwVY+RPvv7wZ/zO7+jo6PiLj1JJJs01LNmyFSHuSs7Ean8tWYKu3Y+mHHe1Re5foRDjRs6RGD3zNFQCzVaRYSW0SiXHdop70VpqPiQULMUUsIVkLNEYsikUZ8k4cCPeWkxIFM0pRgSDMeeWb2itQdxYiygAcyJlS0l3e1SNSdFjSjpI5QvFSFakqiRVsampZ7lkYgyYnHF+FFtYLAnIOIzTqwdwJ1sxYGxpUkaxWq0cZO0biFgyVwWm5E3W+EyKyc1Ctlgj14qMjBsLiWeRa2WtZFSWIpvBeSGTncdi8fU18mTpX6QkilLvsd5jnK37EJtWZ8Wn6jsS3OQ99T0EorE7AnKfxpffPr/PGf1qdBKyo6Ojo6Ojo+M3iBgj3ln+vX/v/8z/5t/6W5AzT48PzY5VlQbanEuVuNIbnZxznciXSUnweO8ohdoM3VjXhetVLEqnaeR0OjJNE6fTiWk6NOLM2bsCD2j78NaSdyq+vZpPyUslRa21PD49oWvzGOUY5OYusoWNEES9kEIg5ci6LUzzxHSYuS43nl9eAMPxdGKaZow1xBLIqxCRJmadqcQ5zzjMOC83JLY2/dY1taaoqlusta1hvG0bh8OhEbQfPnwg51xt4g4cjwdutaG8Uig54ccBg+RplJxrXgcMg2s5VZRCVDL4duN6vYhy1Rhp1hpDyUkyNerNlypywrYh9kEJ6xzTOHA8Hn7j78mOjo6Ov4h4eX5mHEemanuWjGEcRl5eX7DOcphntloPHw/HNgSiwyQhhDf2mupUAPB6vVVl4szDwwPjOPL09MQwDJzP51bD9zUIeGP/ZYxp6j618HZVrXm5XOswi+VwOHI8nkTBaE3LNFSS7nx+xRon9XeLrOuGd14UHBZeX868vpzbcVpr2YI4LeQidTMngzEOYxyHw5FpPDTicxxHluUqNqonyVm8Xq+NbL1er8QYef/+fVMa6jmp+4L3nkvNWVyWhZQST09PjOPI6+trIxTV+WGaJoZhqBa6pilHr9cr5/O5rZd0faKkpZK6em20oajk4TiOLevxer02AlLXV7rvwzw3m1YdaDLGcLvd2j70HJUQvudwCz61iFVL+Y6Ojo6OH46UE6lkTAFKFrtPCW2sqjuDNY7BeayrdqjVMSCGQIyBFJOQlL4q81NiWxe8gWmeJFMyBGLOWD80/yDNRzRGqDZbaqYglmKFhMylVBLMkm0GLNbW3EkslEgqG0aVdSUTg9wbivoPYgrklDEUnIMUA1AY5xlrDTlkjL3bpap1qK41UslsIbAtCzGIPbrzrqknyYWcwRkH1pGMJZVCsW63XYMpQlBq98GYXJWMyPoqZ8jlTqCqDWrJ5JRJWWxUlQiWw8uAE3VkvZfOWYhL4zwYUZemAqXYSu5aTFWL6u9SzmRyy7K2WBzgrCXV90HJYscrhGg9tk8ow1+ljLSYavRqmh2sqi0/VT52IvL70UnIjo6Ojo6Ojo7fEISAlEbZz3/+T/l7f+/v86/8zb/B6+trazzqVyO5oDXHVD0RQuBwODCOY7NJNcZwOMycz68sy0ZKkWGQfMb5KM03bYa1fMVCyzUCITG3GKVxWZ+jX6p63Gcz6rTjetvaz1AYRs/j6UTOsRGeMcrf+sFj7d12Vu5G5Ly+/fgtKQnJ+vj4yHSYyDkR4tomVg0W5254N/L4+B5jqflWkmUhjczA09NTUzGomvFyEYLQe8/pdGLbNpZlaYRlSonj8cjxeGwq0NtNmqvaTLbGAAPLcmNdbu11coOHMtVjLNVGb2mWcjmn1tQGUUHqayoqm0IImW1dfnNvyI6Ojo6/wFDy7/VF7EWd9xwOBwyGwQuBRSl465q9eEriTKA2pJr5pw298/lMqp/dX3zxRVPtqVW51m+gqSqnaeLl9bVtY59VeDqduN1uTQl4z3s2xHi3B1WCa5omHh4eOR5PraYJ0ZkawajrhJwzr6+v7Vi++kqymY+nidPDRExiQRdCIoaMMQ5wbNvG40NmGA5Ym9k2Ufs/PT01i9OHhwculwvOOR4fH7lerzw/P3M8HpvbgeZRruva1jh6bVNKTcX58PDw5lrva/PpdPqlHEZ9XZXMVFtVtbfdk4R6vXWgam+TPgxDI4s/zXYc6tDVNE2NtFSyU9Wgy7IQY2znpq+vKmfvuZCpbbe3Jzs6Ojp+HIhLaKnZkEJApRhEf5flaxhGjK+WoZVQS4lmqVmyKAnHwTEOA4FCCJHcBkpKrcMJX8CPrhKRlZzThEUlpCopiTGiuKMGV2ZZb1hrcMaRUyEhtq0SO1nVgDmBKdgCOUa2KG4LD9MJZy1x28DclZ2iopT8RL2nLhm2EChWsi1jjGwhkOpgFdVpyInXLBmL9Q6co1gnx2At1g21nspZ2pYmCTlFkW6i/QCElKx9CasqyZyJOZNLbNa2xhq5f6/n3WpmUqJSCVWDuJxqJqPBD5OcZinklIhZFKI5yfBzjhnjTCOKwxYpbscTVmUkZviO99M9t1n/bUPXpqoxEXJZLVgbSUuLhtxdpY5P0UnIjo6Ojo6Ojo7fEHRxOwyOy+XKL/7wFwz/2sDoHSlEKLDcFq7XK+/fvyeHarsG3G5LI8myyeQc2bZY7cYsMQaWZeHrr7+mlMLxeKwEmTTj9jZj2hwb/Fjt2l6bhVhKEbtrsqmSQBUh2qhVFYJzjugywyBN0G1biSGR861am0qjT+3JAMbRM02JGDZibQqKIlCUhufzmY8fP2Kt5eHx1JSH1gpxmrN8ffjwgZRkwvF4eGCeD4SwYa3Bu3uWlX4dDpKl9fz8TM6Zd+/e8cUXX0iW5PXKuq6NfLTWMs9zVVne1Rem5mBIo1OmIWMM9bXNWGsYx6HZx1k7A9QGaKxK0fAm10r3p2RvR0dHR8cPx9PDI5RCqEMgzx8/NmvS6+uZxN1mNXK379TPb7jnPJ7PZ15eXpqy8fMvf9IGgYDWiFJ7VlXkn89nUd/VnOFxHDkej03Zt8+gXKsF6MPDA875Rmru97MsSyPjlPwShX9gHIdmSaokpGYVggwaPT8/8803H9jCyOnhyOAHadIeHDkbSjEst7XWV/B+4PHx1MhR3aeqHPVcD4cD5/O55S1+8cUXWGu5Xq+8vr62479cLkzTxDRNeO/b7/dDV/o6qI2pknm6b+BN/dTsTFWbbtvWiOB1XdtaRbetf6cDSZLZuLzJeFRyUYeulMTUfeh6SgeRlOBs2Vj1OTr4tVdEfvPh2z/bN35HR0fHXwIMw1BVeAlrhBRy1uLr/SIJMUqtRJbaY+ccoWb8TfOobqXEKCrENuyyrBRjql0r5JTrMKnFmCgqTCzGOGKKjNMslqGmZlIXsVYtlTQrKZJiIpZCyZYYEtttweTEaC2lRDyFcfAUW1jXK9t6E3WmMVjrMRSsgZQCxRT8YIlF3IpCSqSciSmJk5B3OGMxW82fHgf8ODCMAyFGQsoM08TgB6zzaNKh9yORQiRjciXhAFdtaa0xWO+rMlCubTNttVbI3qoWNKXgLRgcuWTkRj5BMThrKEkI3xxju8EvUMllU5WVRS8qxllNqpRam8SG1xhwFnAFYxzWFFIMOGcpFpLJslsK4jNbcyl30PtxXTMp9rb58kYo98erPat63O7dLjp+GZ2E7Ojo6Ojo6Oj4DcEYWUzHKNmCf/fv/l3+1f/xv8y/8Ad/QK6L1oeHB0CahcMwtC/NNMo5s8a1NQS1eabZT4fDgdPp1EjHdV1pXqmAMbumZqZlXDWbsWrRogtwbaApgTqO4xvl5O12Yxjmuqg3+Er8FaoCw+h5J1y9YdhCJOdCqg3PlOT5zjqMNTw+PjHNB7ZtJcVIiplsCtaCcx7vB6zxTKPY7Mg9S+Z6vfLy8iyNWH9XfOrNw94KLaXUcrbmaeTzaiP3en5lqzdrcdtw9QZuHkdSnWK93i6tobpXhY7j+Ibo1WZkU3CMI2NVy6jNm15jJSHDn+H7r6Ojo+MvE0ophG0jUzg8PHA4HKoNV833GzwxJXJMHOa51VQlmrTuPj8/Y4zhoW5DVXi6HSXL9GfvfcuS1OfvVXpq+3o4HFqW4DAMHI/HWhs2xtHJ4A3qhADj6Mi5sK4bW826utuQOmJMLcMxJVXjyYCP5EWOfPbZ5xyPM8v6Qk6FNQVxERiHStwZxmHGWs+2heZa8PHjtwyDZ5qmN84N+yEabb7p2kCdBVTdqAStkq5KoD48PLSMTK2Nur09Oai1U1WMWmdVjbonA7XuHw4H5nkm59zyIPevl74+6lKgf3etx/CpOvNwOLyxqddzalmhO2IUaPb1+vVpc7Ojo6Oj49dDTJto9EoW73EKppmiGjXPxJQC9V5TPqervamtf1HEwtU4JPcRyDETtq2SiKIBLDlTUiLZhLFJbFRN/Sq2Em/cyTkSWCG8csnkuFFSqGTVQEqRlCMuJVFPpkTIEUusSsHEYA0YjzNFiNaaD2mMHGvOQrSKAlO5MNOUfwXJYjRWsiud96K5zJlUMgOyjrB+QASiSqwCWfIbDYZcLU6NsRirV1f2cN9ZwTtLTplcSm0/lBppYrB16NjWXE2SqSrRjCkFS6kWroackryuVIEntSeh+1blZf0fJdfjkGtUcgGTwVZVpLmrKskZ677fenWPRipWhePeslUVsPefTb36nYj8PnQSsqOjo6Ojo6PjN4Rm11HtN7cQ+ff//f8Lf+ff+d/x9PjIx48fxfLs8Ylc7Ui0IaoT9s45HmYhKm+3G+fzuVmSHQ4H3r9/j3OO2+3WGmiqBFAloyovKKbmTR3aIjsDsU6K7m3NtEmq3+tUv7W+NUWhNvBMJkWZZBwHaQ7mInZqKZe2X2N83b4llwRGCElrDYfDkcPhSIyBwTvWZeV2W1iXFe8L42g4Ho/yt7XZejjIDei63VpTUXO2hmFgWZaaATk3Zcm2bTgK13BuKo+H4/E+MZsSa7WD1et/PBzeKFRUwaivV8m5Wu7I9UsxVtufSlwKm8r0+FiJUluvp2VZuh1rR0dHx4+B0XseHx54eXnBWdfU7TElURRu8tnrKsk0DIMQlcDr6yu3242cM+/fv+cnP/kJLy8vrY4YPzRi8XQ6kXNuKst1XZvab9s2hnFsZJQOqgDNVl2HfNTqU4gs00jE0uzICsYIcaduBbJGCIyjJ6V7vrNzUtP3CntrXR3kcbx7/0gpmettYV0WLpcbKV35/LMvsE4I0Hm+5yqvq2Rgqs2q2s6qVame2+l0ajmPStTpcejzlezdZzZqZrOuNVQpebvdAO5ZUcYwTVMjAvfKw1IK8zy3PMm9elOPQdcGavH6qQ2skpH7ferrotawQDsWrfvLsrw5V10v7DO0lbTs6Ojo6PjhyDmDc1irGX8Zi8zeOmPISRV6RXIH815Zr/dehRhzJdBcq0OhyGBMyhk3jFjryIVmxdm+VAJXbUGLKS0nsZSELXJc5Fi/ZKC1GAMlQg6VBLWYnEjbRsLJMG1dF8iXZCTmEIFMKVL/jJV8yUKpFrIGY51Qc6USdAasF4tUN/g6LHy3j3XO4wdPiXKfblypdWuncKTUe/f73zUPViV/K0mY6rCQrbaoJWecVbtyYTdNKpW/FDK3ZBE8WoxEN6YkNrWVsDSu9h3qvXRGHIZSiuQUIAZMVkeCXK9pxnpRUBZzJ0pLNiLr5E4yap/lV0HzQD/9/v6IXI9OQX4/OgnZ0dHR0dHR0fEbguQFCh4ejizXK7/4w5/zD/7z/5zf/+u/zzzPPN8+tnwk6yyDH9DQ85QT67KQTKKQq4IwMc0D4yhN0HW7NSXA8Xhknkfi5R72rpkKxhhSTBwOJ67Xa2vEUa1j9vmPmlO1V/h5fycQU8psa0CyGsQatpRcVZ2FEDZiFLXFMAxcr9Uy1TusEfLNollPiZgCyyKWONZYtpTwfub9+xMpJZZlY102Yri0xue9EVk4Hg/EOLyxpNOsL22gGmMaGakKjP05q0Jjb6+mTcWYNkqp2SPJUMq9UWktTNNAzq41KB8fTy0bU1Wrb+3lXLV2LSzL+lt5b3Z0dHT8RcOHbz7UPKLUhk6MlzrkKxm5Jwc140+Jq/fv37f68fHjR4yR4Zdxmrjc7gq9y+XSBl6UjFKySQlAraVaQ9VCVOuKDhzdFXWm5RqrNVyMkcfHx6YK1GOfpol1vbX9qEJRVfhwtxMttTGas8UPjsN0YhoOxJi43Vau16U9H+5W7vMs1uK6Xz0vVXLqGkOtVCWfWTIhlRzck4V75aQO/ewtcPe25frYNE13Fes0sSxLe820xuo1HYbhjfJQiUglb/UYXl9fm12rqim99zI8BG/yKcVi3r5ZE+g56Ouur5Pu43Q6NQVmSgm7c2To6Ojo6Pj1IZ/1Hmck2zHmLESblftKY3O1yixNxSb3gAXnBpzzGFNI1Z5VawBA8VLvciliaWotJRfJNKyWpOqsILUmUEogZ0cxUEwhkyEXvClYMtaCzfL8SAKTcEasZJ0pGJMoJuONw5uq6VS3HO8w1hJzItRhJhsj2VhMXV/ElDDO1/xCyYpUZZ6cm9S5lDPGWnyrZdRrQuXRhLDzdk+nSWalDFObSjtaSn0MdjmKFExJgJdrnxMGX2m63NSIuRKnqii1avWKJQO5VGI3QyliL1uMqDVlmGmrrkkBEwOuEqHWFLIp4FRl6THFk42j1LxKY6ihovf30l7l+KtguQsgtUcDVGL5Tycz/zKjk5AdHR0dHR0dHb8hCHnnyJUMc8YQQuL//v/4f/Jv/e2/xfl8bk0xbYhFdyfIhmHADrL0jSW2Rp9O6au6YE8ebtvWMqKETPS4Ok04jqI0EGs3aWa6weOdI9Q8JFUS7June/u5lArWDi3PURqdomaUhurA8XgCSrV1i1AsFKuRENW6RnIvrU5KVseyYqFkUTtGI83Y03Hi6VHVnrY1IEMMrOvC7eOVaZoayajKkxBCa9jqjUaKkS3IcfqayRVSYhgGXm/XpqIcx0Esf6zBuUFsXXKi5EzKMm26Lgul6D2Naf8ut1u1yQv1Wsq1UoJZbmC4J9p3dHR0dPxg6Of9dn7l5eUFYy2znbmcz8SUiJVsPBwOLMvSauc4ji3rT9XpqkQEWG43jBHl3H5gRTMCn56eeHl54Xa78fT0JM2tqvrb25gqYaUkmBKl1jrWdat10BDjXcmYUq6K/gHvhqbq02EhPQ49VrX9fmMhZiy328aYxprvPOM9WDu0GibDQ5FtW7lcLtxuci3HcWSappabqSTpfmhHSVhdLyjhGmNsZKQqKffNun0W595uXrej29KMZq3t+jeqEFXiVK6ZkJhKlu7Vlmrput9Oy3Osas9PCVU9boWSkXO1891vL8bIx48fG2mq16Gjo6Oj44djH+mn92i2GKyxOCzZiBJQrFctMSHDtmoLWm+/mqKxQMmqmqxWoCCZkAVx87GOFBPGJKwtQtiZJMM9JTaVYy6yL7EElUxIW0SlKVrAhCVhTRaCEgtkRmcYrMUZIRxzzGKzjkSSkLPkSoYN4z3Feoz15LqmGbzHOEtJCbUmlcEZ1+o0peAGj7WuHmsixg3rB6xxJDKp0NYlQLUjVQVoJmGa7SxkTBEyMsZ7XmKpFqniBFWEvKvXOOdc7W1zVVGKc623ciWMdYScCan2H7AkU/DWUHIip0AMG2HbSHHD5kQx1GgXJ1awBdZtxaQEQ8IOdc3jPcl8txLyTyMimxKy7DnMnWp0N5zU8cvoJGRHR0dHR0dHx4+O8sm/u99UwmqeZ8maMPCLr/6Y//RnP+N//j/7nxK3wDxP3K5XoHA6HUllZllWuSmqtio5ZrzzDMNEyZkYIsZacr7nNkpzcGS9XimF2ugUpcb1emUaZ1LJQhJayYQcy8jp4YFUG5rw1gZNpw+99zJpak1VNVqxS6k3WN575nFiC4F13XAWmbp0Djf7xrWpOjNnwzDMhKB2aFlutnB4P1QSLxJjxjnbVA05l2rzmrDWCFloji1Yfk+gahOw2dECxtmqhgzkkvHDPYPLWUvOiXVNGAx+8NI0Rc4jGyPXqU6SjruGpjZAAVIBXycvs8ukeuM11kamNrcLYPd31B0dHR0dPwhqzxmSZA1+9tl7zterkE6VBFQluxJT2kDS3+mwT0Hq6+VyIZY7+aaZj/q3MUYOh0NTVz49PbWaqqpHVexZa2u28tDq2jCMhHBjGie8cazbirWu5RHeblcAvPM1Nwqm6YAxd2ITxGJt25adlaupxzzULGVYlpUYM8Mg1upwtw1VUm4YfLONVSU/0Mi3/eNK0G3b1hwTJGNLGnNt4KkqTvbKzf12lSwUlefaHA/2itL7OuD++ukx79cASojq66SNxnVd31jU74lVW59fSnmTg62vrRKd+8xsfT33NvZ63ZTQdM7x8fn1z/x939HR0fEXHQaaat2ZIsq+XbagckGmqhxttG3Y0xQZFk0xkZPkLpecKXq/mYpkG6ZESoVCIBcwzqOWm8nd1ZDO1mxKCZHEVrLNOoMpppGfJQsxaUrC5IDJoQ2hmpJwVrZljaHk6gqQE+TIOE6SY50yOUVyTJJ56DM5G1JOeApYS0ly/2mNoRixaLVOsqNLtWC1zhNyIeaCTZl5sBjvSTEApbr0aL5kzdYsuV7RQvVLkPpXY0dKLjhn6t/uSMiSW2ai2NcWSk6g1rBWrpkBrDU4L3mXMap7QxIL18HJtkoWa9ucxLq1JHB3pwJnHRhDDKFlTnorKlHvHbLcKO19hLkPmhkjRLQ+wzTt4554LTtLW+R8kMlqvTIdv4xOQnZ0dHR0dHR0/Oj47sVnKYVYyanr7Z799/H8yj/5//y3/A//pf8Bo7XkvOGMLHmv52ewhkIm1KyHlMC7AW8HUiyklPFemnHv3n9BKZll3TBuYN0i1vo6mZ9xDh6fnnj/+ed8fP7I+Xrh5fLKMI4471jjyvLNrWUyDcPAPA2t4SZxh4UUN7aq6nt8eOLhOFMopBhx1pNL5uXjB5wXu9EUay4FllwC0zRXFUJhWRJxixKZkcAWORaDIcfINV9bBkUpkGKghHvw/BbuapSYNKepVFWlqc1ICGGtagpTLVDr38SIBciJddswxvL49Cg3mCmzbivbsrKljSEmSpuiFbI1l0IKW3vMWosbxtZUnQ53W7gQAiZGckosW9g1LOvdcrdq6+jo6PhREFJi2VZyzozTBM7yiz/+Y46nkzgPeE/MidEPOGMYnZehnmoraozhyy+/5HK7sqyrDKyUTDZCAILUgMfHR7Zt4/X1ldfX13tuZLUp/eabbxiqglAJNrgPoKjd+bqujdj8/LN3ot6jcJhG1nXl/PItwzhKExPI1fo858zTu89ItcbkHMkpE7YN6tCMrUNKOWWWuBHiyjQNlJJYlsC2mabeU+JNCU3vx7uCokJJO7WPVTJSrUjnSYaHluXG8Xjk8fHhjboxxkAsiRRNJfOGN6+dZlMbY3BVuaDXy1c1ZSMYqTaxq9T4XIlIZ23LowohSB7z7vgBDvPc3CaMc4w1H1JcIta29okxNkVkSolbdTjw3rVav1fEeu9l2GxH2r5RlXR0dHR0/DBEsfKUHMhCXBYxDR0KxnpSKaRUIEO8puqYE3GDYwBu6wZF6sPj4wPTMLBcLphiSEEcbHJMGGuhkoLjwTHYjDFB7oM1s9BPxFAYphmXDVuIks1YDMVasi2s20KOGw+HCUIg3q6UEHHGtvtaax0BGdbJFKx35GK4rWt1KRrEych6TC44Lx6qKUeMNWxpY5xmSnaEkmUwePBgC6EgCkY3EDCQDMU6UjGMdmRNYEikareaogwKe6PxKUKsphzI1jZZpyokS8lCmGIo9fmSoZmYDJATOd6HfXIuOOvbME8uYIsRe9ki1rTUr1Jk/bLdktjaFhidAWexyRLiRikyEFVSwQyiTbRydFgMg7EMCFHtLYQ6aObbMFG+k9S6XDCJRJLtFLGTlTzJasFaSdhsNfKmEEyi47vRSciOjo6Ojo6Ojt8yQiz87O/9ff61f/Vf4V/4/d8XZcVy4/zygvcOP3qhNZ1hno8M3lU700LMUWxacuZ4OrLcbuSqqjNU27dqLwrU6c6EHwZOpxN+kOxE5z3WGrEKzfK819fXNsk/7Bpzaj+mTcjlem3N1lT3dTgcJGi+NvDuKgZpvN5uF243sFa2Nx8mrper5FRwVxVAJksy/Ztr1gg/ZxmNZDwpyeedxTnfmsjbtr1pAmpzVRuYAMM44P2BYdu4XC58/PiReZ7fWN6qMqRUIlmvgW5Lj0uvhf6sROPeyhbA1d/drW1Tt2rr6Ojo+JFgMIzDyLqtfP3N1/hhaHmGheoOUBzjOEHKxKp0M/5uW3a9Xltd05oxDAOlmGbzraSi957PPvusfcYrOWWMOA3cbrdqpTq37Ws9cs61Wvny8oJ3rmVEHg4HhtFhYiHG7V5XqtVcIfPtxw94PzRlYQgbYQu1QWnasaSk3t+iVhTIimGe56Y63Fuwq82p1il9XJWj+xpLva7WwDRBSpHr9dquz94OXZWmahWvCtQ3ikRrsTXHGWgqBz0G4I0i0nvflKZwt0s9Ho9vXApUlQqSE6kqRz1ffU1UealrBVV96nmIMvXW7F7VxjelxPV6ba8HiJLS2u520NHR0fFjwGFFcRgjsUTSGji/vjLVuunHiRAiy20VQpBCygljxRkHU/DeMc8zzljIBWsscdsIW72/roM1Yl3umSrpt60L120Ba5jmmXE6EraAwTLOBwqFpeU8R3JJhC1ATsQQyVsgrhslF5ZtIa4bo/d452vNH0SZCTjvGUsmpkwpGW+tDOZYI/faWZSconq0UIlHQ8FaRCFqRKloXBZFpzGAp9RBWLGaLZAg7fR+QsBSLVUBU9qwr6wcAO6qQWtlqLYg5K+oJDMYSDkSUySGWDOqwU222sA7sVIFclU2ig1uVWBmWbcFIq7au6YYKXGjpCAWuVR/3erqULJY85aW/VKqBayQx6Xa7OaaD5l1SEgzI2F3jvoTLTNTr5ISkaW6Vd2vXsen6CRkR0dHR0dHR8dvGdaJ9cp//J/83/jf/u2/RbyteCyPT+8kPN0athjIdaZvWVacG5jmicEYckzEEAjrRsoZPw6N3PLOEaq6YvCeAmIHWgoxRLGKsbZaijqshRzSm0afWpYdj8e2XYVzjuFwJziXZeF2u3E+n+WmbmdVpooA410l5hwlJWIUW9Vcg+mNcRgrSkZjHCmK35wSfPv8BrU3A6qawhBqTpc+vicA9Usbgar8kJuh0ghXVT7AXTGhDdcUtmojK8dzOBxaA3mfT6V/u29eahNbLen2dnR7FUlHR0dHxw+DNfDy/Mzx4cTD8cThdOS1ZgkKkVhYl5UUEz/57HM+fvzItm0cxhOlFJZlYQYyhXk6tM/3aZrwfqyKPiEiVaWnJOXellTJp5RSy5HUmrTPTlTyyjknzbVKgu4VktbaVpOBVkMKsK6R2gYUotKB947qhlobgtLExNAUezpQY63ldDq9yVHWfezJs/1wzTzP7bz35OHgLYfDgffv37d6p2Ss5nBK5qRkT2od3Fuz6vCS7lOJQpC1h+RMb40wFPI1NIJS1x5qqftpXibQznuf4aTKVN0v0LY1DG9zOPVY3r9/39YXIFmct9utrS1kLdDre0dHR8ePBWcMJmdC2MhhJW8b0zCQQ2TlJjq4Gts4WLEvL3bAD4OQjvJ/uDqQW2KqpJUQX4O1pKquNwW8kcHenBPbtrLeruAdg/UMj44UIg4Y/YC1YtvqnIOSySnjDaRS2NYgqrxhwBvHLWaWEPHWYZy4FoQQiUVISFsjVYytLgg11sP5gaw2stZinQNrqyqx3Im0QrMObdWvGIpVK1KjHB0oX1czMu3e1xYAsYo1Whvb9uQ6i/06bRBZiD8otjnVYqzD7+JHcrVqtVbWTULmJnKKUId/S07VDrYOIRsDKUCSx+dpkqGrAs74lqGd8v3474PDkZTvZGGLnOGeEdn4xip6VKJRv9dzFyfdsvub+6BXxy+jk5AdHR0dHR0dHb9l6OTfz3/+h/zij77ir/30r2Ct4XQ4ENXm0zhCDIQ1UlLhcjtzOZ+lcTmKdWrYAuM0cpjEAmwNG85aRj/UQHnDNE/NSsw4h7OWVN7mGHrr2zS/Ns+0GboPbR+GQSY8w10V8f79+0ZcfvjwoTXllOzLOWOSaQ1VgBgTIYiNqzEWazOFiCu+5j/amhuZW5PSWtual9rkg2p3Vrf76ePbtrEsy5sMqn1T8Xq93hu6tcmq16URoNyVGEooasYU3AnLT8nFfSbXPjNqn13Vbdo6Ojo6fjyoem+eppYtOM8zy7JgjWlkXtg2frGsPDw88Pj4yBKENPud3/kdnl9eiCk2VZ4OkxwOdzJqPzyiRKKSi96LqkGt2HUIRbOVlbTUmuKcYxxHHk4ncs6cz2deX1/Ztq0Rm3uVoNTAiB89W5CaaI3HOun4idhBSMRCwdhc1REWa4c2dKOEnh7Dvh7J+eVWC7V+ppQ4n8+NrFQI4Xavm/qYEptaG/eKSq2je+JQ96XDTHBv9u1dFvQ5uk2412n9XhWe+2Eh3cd9LRLb/pWs1H/18ev12hqZSi7Ps9jL6xpHX3PN59b95JxZloWvv/n2R36nd3R0dPzlg00ZyOR1IywL5IT3lYSLibwFMBYPmBwxxuJwlBzZ1oh1Djt5USMuG7Zk5mGUe1EDzloGZ4lBBnhy2MAanHeM1nAYBoyzjMYQrgumiglJCWctp3rPjbFEDN5Ycimstxt4h8Xh3CARK37E+5F5Pkgt3gLWe5x35FzwxnGYR1LKLOtKKYbjOImSL2eKAT+MkgeJqa5IhpIhm9LYQknMBHVIwGgOY3XtscJCZkrLWKSUphKsngSiqqSJAhvariphaKHlZhrjcdaAS/ffV9KUXMhZhqNTjJgSW/ZlSQFSXROoKtOAxWKsxxlLdpL7WfK+/hswhVStYnOOEuliDdk6yaG0tlGGzkDZE7WfnJe4zt6JUFQdWsSmtj3eb+e/F52E7Ojo6Ojo6Oj4rcMQQsQY+I//k/8rf/t/9b+mlMLzyyul5T0WUqgKxpSwptq/1DymXBuH3jriFti2takdrVqlxkjK0hy93m4yMVlvDKyzmHoD4pyjpCzKS2MYhhFrLcuy1NzHqnYwhuKFKBTicWFdl9YsnKaxNe6sNYzjgLWG6TRJbkTKhC2Q0kbOiZQCznlMrhZr1uO8xw8DOWvDUG3bLNaapnpQxcQ8TzVQnjdNxlLKLzVW981RVS/sVZufkoYhBGm25vSdypA9kauNy73NnrW2Ebf6vTZXtTHd0dHR0fHjoOSCs5aP336UAZycCSmSKlm0rivHw0HqHqbVkWGQHF8lnAymkYogROK33377Syq+/dCLEoY550YgGiMKAkohVPJSiTdRS0gdWW43Lucz4yhW46o2VOLLOffG0jXGwG29klIlzJwl50QIiZQjOQ8452vPT49xYBg8Odfcq5xYVyEJNd/RmLvt+F7tucfeblzrYCmFaZ7uWYu1jurQj143oJ0/3O3N9Qu4W7LuCMXm9OB9U50qiavXW7+3u3WN5FDfyVB1b9irHpUo1PPdtq0dtx6P2soqeTmOY7Pt1bWGHu/tdntDjO6dEjo6Ojo6fn2UmAAhHFMIOAOuWOZpwlq5ryuI0nHdNkyxQoJlSIBzXgi2mDA1M3ktm9iyFqBUtbu1cl+cMjlGTJasxYMfKNZAjKy3C6CKfi+Dvn6Aeo8etxVSwhcZvgW5797WgDWO9+8/YxpGyJmNQIoZYwslG7Dq9lOPN2ViSuSUwYubEBa8dRRrCTljal02pojbUWXLTLUeVUUjxmKMrbXVNCtSS7VVLUWyGnMhI/Rj5fZAN6UXuqohTalWrUW34+oQlMMiXF0MgZJrXEy1SY1hE2vZUu1XQ12vpSjZn5UYdgYcBmsB68hYgi0YY0lFeiSDc2RnKGukmEJC8yw1VsVK70P1jGZ/MjseUXnF71j//KrHO74bnYTs6Ojo6Ojo6PgtIyUh1ryz/NOf/5yf/b2/z//oX/wX8cYwOoezA2FbiFvEOosthWIMzkgmBFQSLAupt64rxhpOp5M0I2tTDJAcilzu2Y7WNiKS2iBNIWCNFasa2Tg5JeZpAmBlJYbAer2RQuT9+/dMkyhOzuczOSeGYQTKGyVkCEHUnOe1Wc85b/BFbk5KztTDqdOZBWulwbrPlbznWd0t6bRRCdObhp82Fff2bPfrnlqjUdUKQCMG94pIbbLaepOW699qQ3IcxzdZWdq4Vbs5JUO1WarKDyUidb/6fUdHR0fHD8PLywuPDw9vMvlSShjq5/+2MTw9iXJtnBphVBBr7HVdGauKUh0D7nahQibtbb73KkElGK21bVhIn388HlnXlWVZuFwuGGB6emI+nViWhev12tT+qqxzzrEsS1Na6vdCeKmCUBX1Bee0AWnFgo5EjHc1o9bnZVmaRWxKqQ7J3AlBfXyv6Nfz0OGkvaUs0Cxjtbbulf970lYzm2+3G09P79+Qj3rtVLWoxKVmU+s11McU+yxHJRH3BKoSpXul5R6fqh91PaCE8P6c96/p/t8YI7fb7Q3JvFdtdnR0dHT8CEgZazIlRUgR5z2PhxPeOdZ15Xy94v3I6fGJHGM1K6+kHWK5aioNNQ4joUiWMqUwDZ4UAuSCdx7rpaZ460mVnPROchkzRUjMHEnbRvEjFEg1ezHFyLYsOFMYvYdxICdIqbBerwzO8/6zd8zTxOV8Zp5mjLHElAhpAyfk6mY2sUi10gMoOWN3yjxnbCMhC0WjEUk12dCau31oATK28m6VilP3hF0QYlGVovCc7Zd7G1ZVUwKYXLMRKUJIGlPzIIUctM5j6pZSlGPGFGIdiKIUsWrNWYjIFGXQmiLD0vU1NIjlvqlkaiyJjFitGgM4L05TkujS1JklZ7F2tRaKwxhE5VnAuN156el9QjCqJSvme37X8SvRSciOjo6Ojo6Ojt86pFEYalD6f/0P/xF/8Pu/z2fv3rPlVBfYDpNhGgeGk+RVnS9nLi8vHI5HhnHEOMl2nMeRmBK3yxXrrBCCdbEcK4GnuRMtr6HekKRYGKynmIytRCHcFQKaM3mY59Yc/ObD15xOJ6Zp4nCc7/mKTpQDhSyEojOiNqGwLJemCNQG4W1ZcM7Xxqonl8i2JZYtcpgPzQoNaFmMSupp4/ByuTAO/p5JsWucakNwb+22//3xeMTVG1c9Z93HnnC0NRdinuemuvjUqla3bYx5k0V1uVzeWMyp+lGbr8uy/Nm/3To6Ojr+EkBJNHJmW9Zmm/XwcMJUMutyuUgdGtamdnPOtb9dloVUMq6qDu/Wo1bIyZ1lt6ry9xaiSqbpYMpeCaeEZAhBCNPHR8ZxbOTcnoDcq+zeHgesayDljRDXNvzivWeeZ0KILMut1kpHiGsjMcdxZBxHTnVNoeScWrJqbVWycn8cej56jDnntr11XTCUpto8Ho/1OFcOh0PbD4it++Fw4Hy+fmf9VFKxZTJXC1glTpWs3a9R9O/hnl+pROr+mmpuow5FaT7m/rXU670fTNL3hyorVXmpawR9zXX9AHcb3lIKrG/tazs6Ojo6/vmhqrh1WdiWlcf3B07HA9ZI/vByvXE4GGwpHOeRmBOlZMZpxHpPLInJy4CtuBCsWOuJ20p24iBEzqK88wPOe6yT+/GYEuv1gh0GHp8ecW7gtoiSLwXJKsQ63ODxxkDOGAvj4IkbhCwEJyYzDo5hcIzesTqLwVPIpKXmD8eCsQMu2RavUkohrBumGOw0YVSBb6UXgBOFoWnyRIOxTjIUrdqjOjCWgpVcxpIxyBBPplqyKmqfoFSJ493GtNzzE+tTm3ORsdWOFawfRO2YC95ZBjsyDJ6wrEIKGpjqkFUMGzZlrDGMzhNLxmLwTl5vi6gtifW8nChc5bpniqkOUcY2NWspBUPGmIKzYL1rykeng8bOkWsOZyli46qnaNRutWg8y90+XlMgbR3edr9EZXYoOgnZ0dHR0dHR0fFbhjGGmERJEGLgv/pH/zUpBv4X/8a/weF04vd++lP+3//4n+CtJcdE3DaGUbIfKbDVRtrnn39OikluspCJfYMhbBtblKl9Pwxy81UVBhrEnvLdcsbubEr3dqd7QlKP21rLPAnx+Pz8LOTjOLbcLaApBSUvKTENI9M0tPN3zpNzqc1XS4yqekhQDOM8C6loHEP0bd+lZFIuQFUuesmPpNztWRXaeNyrGj/Ng9orFjU/TAlSOc6aOVWvpT6uysZ9c1kbqGq1qs/R52ku1V6N4b3neDr9yO+ujo6Ojr+cGLznMM8cTyf++Ks/Jlbb85wL0+hFLbEslJy5xcQ8zzjnuK4L67pyOp0Yx5GtWpgDzQJU1X5KOu2V7XvVnSoqTQE/yHNjlKwjZyzFZB4en8gl8+03kqP8VNWZWpOUJFNycpqmpr6XmgajlTqbSyZsss9tC8zzgWmaGPxATBlrXa25GetE8lBqk06t2AqZnMFYQ8rpjapz//Wpuk9rprUWa+55kKpW3Nue7weA9mTfpyTi3qVgnz29LEsjXOFenzUXUh/X2rpXa+rXvnarW8Neubg/lr0bw15pqeSlKj/1b7TeqzvC3Tr3nh/a0dHR0fHrY91uGGeYxwmTAiFunF9fJf7DUO81C5fzSx0IzWANJWeoJFncAs6rLWtm8J55PlDyxjSP5JRYl5WwrkzjSIhRlJDWgjXkkHl9hXGcsE7WByVnUikMzjN4Tym5ZlXmapueySlgCkyj5+F0xFm43s7kJEOvOQUoGecM3gmtFUOQOBIn960pJcoWOJ1OuHEkpkwuMkCVgWIsptzvTVumcnvEgHWAwZW3wzu5ZLFftUZUlTmLCrE6LJSqcCzl7lBUqpxStZC5iIFrlUI2FafYvxZKKjVPuVBSFI5PJKJY6yhJMq9RV6KdG5HkRspgtDWeUu3jnXNiAStBjbp3IS5N/dr9T06iPqmU/cVpVGL5npBHHVD69LGO70cnITs6Ojo6Ojo6fsvQBpzYuxWWdeEf/pN/xPF05Ha78vOf/5wUozRIa45DqQHtquzwznO73ijIQt14J+TjtuG8J+WMH6TpSpFmoZKSGkKvzbq9wkEVFzFGnp6e2jGrykND7fcNt23beH5+bsQf3DMTvHdk5CZPmqQb1jpyrsdtaM1K7wa8H4g5k7KoLqmNTe9da06mHN8s+i13tcM4jq2Zq4oXVWvo79Z1fZMXtc/50qahNlk1w+JTxYXmfem56uOqhPyU0ASqSiW0/e0bpx0dHR0dPwyD93z74QPrtrHcFlH8GcjV3jNHmZQ/HA5cLhcul0vL+4sx8vLygh8GYk5QLTmVTFLiSsm5vY33Xum3bRvLsvDu4RFn6hCMg2zk91MlE40xfPb+Peu68s0332D9fXt7K/HWRNzZhpaSME4Gc5xzjKNkPFEn9a2xpJyJIVEyWGc5Hqd2HqHWH7irQI33jMOE92JX9vJ8bmSokrUgtV8Hd9T+FO4qVCVdgTfknp6HrjV0O58SkeM4crvd3lzzaZo4HA6tfipBuM+AVPtUVTXu6/inz9fXUGux7gf4pezn/euhx7rPA90rRXUIaf/6dcv1jo6Ojh8HISUGY7HeVuLRcLtdiHEk1c/3UjK3241xcFUZaMkhSlTJMJBSvFuBF/B+wHvL7SYOAqokzLkQoqj7U0w4byWv2RpygZwT1vs6vFPUIbWpBXV4Nlc1Zqlkobj3GNb1xu16wRlHTIkYNwoZ7xx+lHvhECPOGQbrKBhyrTW2EmmlZIlWsRalHjNG8hvVZr16rhpENamZzLYSnU3VZ+3dkhXaGsE6hzWWbM1dCan/X8/Z6vEUsqkDTkWdIeqwU07kkhm8I0XIKVNMtcitv5d6Wuu0rXbrtVavy4Izci89Do4YYj13OV+1zNdeiTWuXStRMjZ6lETBlPsxg5KVtG3oekp/3g8is3uerjk6vhudhOzo6Ojo6Ojo+C3DOUtKodp2uWqzVvjf/x//D/wv/81/kz/+41/w13/397Cp8PL8TDJgnK03OvUm5hOyr4RIjhLoLrkHks2gk4QOA9bKdOXORrSUIvYzemNjDMZ5HIYS05t9GABrGLwnxK0pAa2FYXAsSwAsIaxcLltrKCYiMJBSIWca+ThNM6VAiplk7goJU1Wbe9Xg3oZVG4ogTcscUyMh9by2bWukpTYt9e81r0sVLs45brdbI2QVMUZijBymsTVT4655u1dXfmor910NT208a7NUn9vR0dHR8cNhjOG2LLx7947T8cjHjx/xg4dK7sVdk+rx8ZF1XblcLsx7krE2mJx3rT5Iw7I0a1G1P1Xiak+G6XDL/vdtqKUSalojlLB6fHjg+fUVP8jfXK9XnHPM8wzcsy21HsqxzDtCLt8He3CEkCth6hjHuSoR7mTcnjjbZzlqHQshtPNIKXG73RpBqkpCJWih1ltnWg1VYm9vJ6u1cl8b9fF9A0+vjaoP9fe6Pa3bWjv3x7ZvGOrPWnvvBO6dDAXekIy6r32N1/P7LmtcvR7749bXeU9MdnR0dHT8cMg9bCGmgLXinBPXhWVbCCFSsHg/4IyjRgNigLCt5GiYrMX7kRCSKBeHgXGcJNsxF0K9H54PB6yxkiPtB7YoQ6XWOUy18JzmI2uIhLBhB8lWTiTKJq5ACblvTqWIfaiDwRmsKyzLmbBupC0wTRM5JXKWuiLrCEeJEIJkWDrnKMiw0TSLG1FaV8ww45wnALkYnBMHpUym4Jq9qKnKP1U1WmsxJaMsojVGBqGc5FKWJIr+1htwlmzvxKPe8hpEOWmNo+RMTpUUdQ5nfO0dyB+klEgx4b0oG2U9U/dLZrstrfYPg2xvWxYwnmVbWLeFcRiYAIwhhFUsc62rGZZCamItBiExjXNivcrbemyLqB1LKZRcZDi7og0bqWJS5J/3YWR7v98vuj4JfaD4+9BJyI6Ojo6Ojo6O3zLEpsW1RpZ1EFLk66+/5r/8r/5L/vv/vT/gqz/+I373i5/gneV8ueDHgXme8a42CtXWLCfStsmEp3OS9/TwQKgE2u16bRkIfhwkM2HXKAwhYNPd0kSbiPr7Tyf8ioUYNzL3pivwxr51T8xt20Y2mZSkKXs8nrDWVSWJJ8aEIVe7uESMiZhjVXjYlvUI2rxU4lNztyy5zi6qLZs2OT9tAOrv1CpW7WO1uaiN3z2JSCmcw9bIRG0Cq73tvqmq5329XptSRi3gdJt7RUVHR0dHx4+Hy/nMuq7E6iSQPnyQQZKaUeitwzpL2ALRStMopcT1dsV7z5dffskWAilnUsktF1E+8/0bEkrrotYR/Z1+H0OQpmjJtebJ5/7lfME5cSGwzkkt2jamaWwDOKp6VPJLh3C0RgP4QSzVSsmEEAkhYjDEqPsDax3DMOKc5ba8knMi54IxYotud403a02rsVKX7/VLa5zmJatNrNb5EDZKtm1Ns3cO2Nueazaj5CPHN/Van99cG7zncDg0a9VPbVv1+s/akG1DUfd1yafPV1JS1z5wt4/f52Puido9Uarf67lP09T2qa+Z1ncloHut7+jo6PhxYJ3I1XLN6ysUUhFL0lQVdNZbbJHPfVMHaEtKpCyDtjKgWiSf0d4HSsFIJmIdVh2dJ8eEca4NJ+VSMDmTTcF5R9pWcqrxIjoomxOYdusNZKwD7yzkRE6GkgsxrJXEcrJOqKamxmRKSdAGcYUMyyVjB493nlDXKMMoNa1oPIixlOYwurvXNHe3HlVDGqyoNFHSDVFM1jqJc5hS2j3sXiVZr2pzNXXGiO1tqudtrbgepUzOYqNaN1/VoXVNYH3bWiqJlCPGgnWjZFSWe93dn0suUq9dtZcvuVAqCSsqULkW1tyjUsx35DYKCZkxVTUpblNCTOo1k/fZ3WVhv76Aut7Jvc5/HzoJ+T3oi8OOP+/o79GOjo6OXw9/Hj8/S8mSX28N2EJOcmPzzYdv+Yf/6B/iKfyV91/w313/O8ZhZAkBE4NMaCI3IuM0CfGodqoUcilYHF9//fU9sL4+v5RCfs24YWCcJtzgSCkTYuBhPLRmmzbe1MpMFSDt2A0MoyeT2iSkWp/lkhvJOU8TpUgD8rJcSClxOh2ZpmNbxDvr2bZ7IzClJDamSTKmpmmu9mZib+e9KjNiIwMNhpyy2MVkbRimdi6tiZozYdtY15VlWZoicllXsVytNxfaiNTjGseBaRpxxspNblV4aGNTFBaJmGKb7Nw3LnU/0zTz8vLcrqM2lHujsqOjo+OHQT8/P3z4wDTP/OEvfsFYs5yMkZzD6+2KMYbD8Sifu1Zstf0wYJwjhI2Pz8+idLCWXAqx5gHLkI4QcOM4imV5Sjw+PLwZLFFyCqCQ2vR/KfJ3wzgSw0IqhRTvFqGFwhoD1nmmaeR4PHK7Lby8vADw+PjYrMRDEHu459cb1pqmuLxdF2JMDMPE8XjEOSrRdxP3hZwoteEo1wxyvg/w3HMQIzkXnHWNPF0WyczU41VrcVX7xZhw1jQrdyVLVc25bYEQ7ratQHMVSDXTil3tTNU+F4TQfXl5addVa6fYtVlSPQ5dt4gKMzPP0xvbXN3WXcXoa50ubFsgxtC26c09J3JvrxqjXD/nfa33NKI559wI1KT2+TUWa/8e7ejo6Oj454N+fl7XldHBlhI5bmxxE6tUJ1aimSKEXAbq57AdBpYYyMYwpUzeQrVTLaxbIGVDzhtLjHhEpRdTZvQD67YxlMwSI7Y4yrJSgFQysThu60Jxjmgc2IixDtR5IAZKithYoCRyiGzrIhmUw0hIibgFEnciK5ZMyAmXCzFkli2SimFLhpwLfipkeyE7T3KWuCzYFFhSJpkBN4yE7YYrhThqNjIY67DO41zGuCiDvKWQUiTmRKnqRTtUt6SYhYAtshYwLpAcJFQpmFrNJsv1LxRSCFhjGceIt4NYrqaIlQUHlEiksC4rJUdMzlASy7KwhY1tXetQD0Bh2TZ5nUJkC5FiLNxuuLBxixuxFLGKDZrFPJKKpViLcXIdXcrgIzYA+2xNg6whqgOTdfdhopQT3g7tvZdLbg4P4zi+cXKIMXLbDTV3vEUnIb8Hr6+vv+1D6Oj4lXh9feXdu3e/7cPo6Ojo+P87/Hms8bpGlcX7/fEI/Owf/Bf87B/8F7+Nw+r4LaLX+Y6Ojo5fD1rn/1//zX/zWz6Sjo4ddv3IXuM7Ojo6fj1ojf+3/0//4W/5SDo6vh+9zv8yTOnU7Hci58wf/uEf8vj42H37O/5coZTC6+srv/d7v/dL0u+Ojo6Ojj8dvcZ3/HlGr/MdHR0dPwy9znf8eUWv8R0dHR0/DL3Gd/x5Rq/z349OQnZ0dHR0dHR0dHR0dHR0dHR0dHR0dHR0dHR0dPyo6JRsR0dHR0dHR0dHR0dHR0dHR0dHR0dHR0dHR0fHj4pOQnZ0dHR0dHR0dHR0dHR0dHR0dHR0dHR0dHR0dPyo6CRkR0dHR0dHR0dHR0dHR0dHR0dHR0dHR0dHR0fHj4pOQnZ0dHR0dHR0dHR0dHR0dHR0dHR0dHR0dHR0dPyo6CRkR0dHR0dHR0dHR0dHR0dHR0dHR0dHR0dHR0fHj4pOQnZ0dHR0dHR0dHR0dHR0dHR0dHR0dHR0dHR0dPyo6CRkR0dHR0dHR0dHR0dHR0dHR0dHR0dHR0dHR0fHj4r/H4xcclYbfDVrAAAAAElFTkSuQmCC",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"y_hat = model.predict(test_data)\n",
"\n",
"# define text labels\n",
"m_labels = ['MonkeyPox','non_monkeypox']\n",
"# plot a random sample of test images, their predicted labels, and ground truth\n",
"fig = plt.figure(figsize=(25, 10))\n",
"for i, idx in enumerate(np.random.choice(test_data.shape[0], size=16, replace=False)):\n",
" ax = fig.add_subplot(4,4, i+1, xticks=[], yticks=[])\n",
" ax.imshow(np.squeeze(test_data[idx]))\n",
" pred_idx = np.argmax(y_hat[idx])\n",
" true_idx = np.argmax(test_labels[idx])\n",
" ax.set_title(\"{} ({})\".format(m_labels[pred_idx], m_labels[true_idx]),\n",
" color=(\"blue\" if pred_idx == true_idx else \"red\"))"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "35693b65",
"metadata": {
"papermill": {
"duration": 0.27329,
"end_time": "2024-10-17T13:06:39.947734",
"exception": false,
"start_time": "2024-10-17T13:06:39.674444",
"status": "completed"
},
"tags": []
},
"outputs": [],
"source": []
}
],
"metadata": {
"kaggle": {
"accelerator": "gpu",
"dataSources": [
{
"datasetId": 2308447,
"sourceId": 3907076,
"sourceType": "datasetVersion"
},
{
"isSourceIdPinned": true,
"modelId": 140215,
"modelInstanceId": 116981,
"sourceId": 138154,
"sourceType": "modelInstanceVersion"
}
],
"dockerImageVersionId": 30787,
"isGpuEnabled": true,
"isInternetEnabled": true,
"language": "python",
"sourceType": "notebook"
},
"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": "3.10.14"
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