30_downsample_size_loop_raw.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "8816b366-5be4-4748-b769-4dc6f7d1735f",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Modify the file 00_setup.py to define input/output file paths on your system\n",
    "# The information in 00_setup.py will be used across notebooks\n",
    "from importlib.machinery import SourceFileLoader\n",
    "setup = SourceFileLoader(\"setup\", \"./00_setup.py\").load_module()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a945de0c-f042-46b2-9d06-ab064af6c05b",
   "metadata": {},
   "source": [
    "## Loop downsample size - raw NAICS base\n",
    "Do the no-randomization models, downsampling training data.  Loop the downsample fraction.  "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9e6fba8f-d564-466c-8e50-7773b095157f",
   "metadata": {},
   "source": [
    "Base NAICS only, and data with no missing values"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d47a7ec9-7d7b-47df-a902-b2f1e54f1135",
   "metadata": {},
   "source": [
    "*This script takes about 4 hours on my MacBook Air*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "fb42f9b4-99a8-4753-aacf-8722469be4c8",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import tensorflow as tf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "bf51170a-4487-4d10-b63d-c88f41b529f9",
   "metadata": {},
   "outputs": [],
   "source": [
    "from pathlib import Path\n",
    "import importlib, pickle\n",
    "from sklearn import model_selection"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "edd1164e-3ceb-4e3a-ad25-79bb9cf19a2f",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "09dd973b-60a0-434b-9193-8c5fcec27dd5",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import os\n",
    "import re\n",
    "\n",
    "import keras\n",
    "from tensorflow.keras import layers, optimizers, losses, metrics, Model\n",
    "from sklearn import preprocessing, feature_extraction, model_selection\n",
    "from IPython.display import display, HTML\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "e9d62b12-8bbf-4f4f-90ca-9318dccadab4",
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.ticker as ticker"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "5dedd82d-1901-4327-8b7f-f00026a84f18",
   "metadata": {},
   "outputs": [],
   "source": [
    "from keras.callbacks import EarlyStopping"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "9f1e4f2e-0e45-4e28-8e9c-212e0bb51199",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sba_nn.sba_nn import sbnn_metrics, sbnn_model, sbnn_plot\n",
    "from sba_nn.sba_nn.sbnn_model import CatInjectGenerator"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "2a50c5c6-be2c-43a5-9795-d9eabb8a5f5c",
   "metadata": {},
   "outputs": [],
   "source": [
    "sbnn_plot.plot_defaults()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3cbc00d2-bc83-42d9-83eb-65fcf306dccd",
   "metadata": {},
   "source": [
    "## Input Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "e014cd31-0f8d-42e3-82f9-b529eec8a3cc",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "sba_loans = pd.read_parquet(Path(setup.temp_path).joinpath('01_DATA_transformed_nomiss.parquet'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "8e65cb7c-792c-46ff-a530-0d5c64240d60",
   "metadata": {},
   "outputs": [],
   "source": [
    "with open(Path(setup.temp_path).joinpath('01_DATA_features.pkl'), 'rb') as fin:\n",
    "    imputer_features = pickle.load(fin)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "6f0ce28e-a80c-415b-b068-5c4d49370da8",
   "metadata": {},
   "outputs": [],
   "source": [
    "with open(Path(setup.temp_path).joinpath('01_DATA_naics_max_encodings.pkl'), 'rb') as fin:\n",
    "    naics_max_levels= pickle.load(fin)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4d4116da-d689-478a-9c5d-a330f231e615",
   "metadata": {},
   "source": [
    "##### Features"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "f98c6e41-38d0-4d5f-b821-e3837b8c2068",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['NoEmp', 'CreateJob', 'LowDoc', 'DisbursementGross', 'new_business', 'urban_flag', 'franchise_flag', 'missingindicator_LowDoc', 'missingindicator_new_business', 'missingindicator_urban_flag']\n"
     ]
    }
   ],
   "source": [
    "# Numeric features\n",
    "features_numeric = [f for f in imputer_features if 'NAICS' not in f]\n",
    "features_numeric_len = len(features_numeric)\n",
    "print(features_numeric)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "ba637a7a-6d62-4e7d-b869-b72be58fd37a",
   "metadata": {},
   "outputs": [],
   "source": [
    "###### NAICS feature\n",
    "features_naics = ['NAICS']\n",
    "features_naics_max_levels  = [naics_max_levels[n] for n in features_naics]\n",
    "features_naics_emb_dim = [setup.nn_naics_embed_size_dict[n] for n in features_naics]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "867031ee-8b6e-424d-b497-8e19409ba1d9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1170]\n",
      "[8]\n"
     ]
    }
   ],
   "source": [
    "print(features_naics_max_levels)\n",
    "print(features_naics_emb_dim)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7e2b5f20-0cd1-405a-9c40-8bf45aa89159",
   "metadata": {},
   "source": [
    "##### Datasets for train, validation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "0df27034-65fb-4d46-a013-eab2bcc96616",
   "metadata": {},
   "outputs": [],
   "source": [
    "X = sba_loans[['dset', 'LoanNr_ChkDgt'] + features_numeric].set_index('LoanNr_ChkDgt').sort_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "c148e947-444d-4f2f-97c0-ae780485895c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "training X: (446848, 10), y:(446848,)\n"
     ]
    }
   ],
   "source": [
    "X_train = X[X['dset'] == 'train'].drop(columns='dset')\n",
    "y_train = sba_loans[sba_loans['dset'] == 'train'].set_index('LoanNr_ChkDgt').sort_index()['target']\n",
    "print(f'training X: {X_train.shape}, y:{y_train.shape}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "2668f340-3d2f-4c46-8908-57c9cbfbf7c3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "val X: (95604, 10), y:(95604,)\n"
     ]
    }
   ],
   "source": [
    "X_val = X[X['dset'] == 'val'].drop(columns='dset')\n",
    "y_val = sba_loans[sba_loans['dset'] == 'val'].set_index('LoanNr_ChkDgt').sort_index()['target']\n",
    "print(f'val X: {X_val.shape}, y:{y_val.shape}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "069063dd-d090-494d-8ebc-a048f6272128",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.20230592953308507\n"
     ]
    }
   ],
   "source": [
    "base_thresh = y_train.mean()\n",
    "print(base_thresh)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "3ce4d67e-654a-4117-8381-3e97993cc653",
   "metadata": {},
   "outputs": [],
   "source": [
    "X_naics = [sba_loans[['dset', 'LoanNr_ChkDgt', n]].set_index('LoanNr_ChkDgt').sort_index() \\\n",
    "           for n in features_naics]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "e0347be3-bfa0-4097-b7d5-e7d0e5a7e133",
   "metadata": {},
   "outputs": [],
   "source": [
    "X_naics_train = [Xn[Xn['dset'] == 'train'].drop(columns='dset') for Xn in X_naics]\n",
    "X_naics_val =  [Xn[Xn['dset'] == 'val'].drop(columns='dset') for Xn in X_naics]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "53be11f2-9c6d-47d7-b5b6-55ca8ed1a4fe",
   "metadata": {},
   "source": [
    "## Loop for different fits"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "2a9a48fe-9d07-4fec-af0f-3f08e691cff4",
   "metadata": {},
   "outputs": [],
   "source": [
    "def gen_fit_loop(rate = 0.1):\n",
    "    this_model = sbnn_model.create_emb_model(features_numeric_len,\n",
    "                                         features_naics_max_levels,\n",
    "                                         features_naics_emb_dim,\n",
    "                                         naics_embedding_names = features_naics,\n",
    "                                         hidden_size = setup.nn_layer_sizes,\n",
    "                                         activation='tanh',\n",
    "                                         lr=setup.nn_learning_rate,\n",
    "                                         opt_func = setup.nn_optimizer,\n",
    "                                         dropout = setup.nn_dropout)\n",
    "    \n",
    "    # Downsample\n",
    "    train_samp, _ = train_test_split(X_train.index,\n",
    "                                train_size=rate,\n",
    "                                random_state=343)\n",
    "    X_train_ds = X_train.loc[train_samp, :]\n",
    "    X_naics_train_ds = [xn.loc[train_samp, :] for xn in X_naics_train]\n",
    "    y_train_ds = y_train.loc[train_samp]\n",
    "    \n",
    "    callback = keras.callbacks.EarlyStopping(patience=3)\n",
    "    \n",
    "    # Fit\n",
    "    this_history = this_model.fit([X_train_ds] + X_naics_train_ds, y_train_ds,\n",
    "                              validation_data=([X_val] + X_naics_val, y_val),\n",
    "                              batch_size=setup.nn_batch_size,\n",
    "                              epochs=setup.nn_epochs,\n",
    "                              callbacks=[callback],\n",
    "                                 shuffle=True)\n",
    "    \n",
    "    this_history_df = sbnn_model.process_history(this_history)\n",
    "    this_history_df['rate'] = rate\n",
    "    \n",
    "    # Predictions then metrics\n",
    "    this_predict = this_model.predict([X.drop(columns='dset')] +\n",
    "                                     [Xn.drop(columns='dset') for Xn in X_naics])\n",
    "    this_predict_df = pd.DataFrame(this_predict, index=X.index) \\\n",
    "        .set_axis(['predict_prob'], axis=1) \\\n",
    "        .reset_index() \\\n",
    "        .merge(sba_loans[['target', 'LoanNr_ChkDgt', 'dset', 'dset_naics_holdout', 'NAICS']], \n",
    "               on='LoanNr_ChkDgt')\n",
    "    \n",
    "    # Threshold tune\n",
    "    this_pred_train = this_predict_df[this_predict_df['dset'] == 'train']\n",
    "    thresh_tune_data = sbnn_metrics.get_f1_frame(this_pred_train['target'], \n",
    "                                        this_pred_train['predict_prob'])\n",
    "    thresh_tune_data.sort_values('f1', ascending=False, inplace=True)\n",
    "    best_thresh = thresh_tune_data['thresh'].iloc[0]\n",
    "    this_predict_df['predict_bin'] = sbnn_metrics.get_binary_predictions(this_predict_df['predict_prob'], \n",
    "                                                                            best_thresh)\n",
    "    \n",
    "    this_metrics_dset = this_predict_df.groupby('dset') \\\n",
    "        .apply(lambda x: sbnn_metrics.dset_metrics(x.target, x.predict_bin, x.predict_prob)) \\\n",
    "        .reset_index()\n",
    "    this_metrics_test = this_predict_df[this_predict_df['dset'] == 'test'] \\\n",
    "        .groupby(['dset', 'dset_naics_holdout']) \\\n",
    "        .apply(lambda x: sbnn_metrics.dset_metrics(x.target, x.predict_bin, x.predict_prob)) \\\n",
    "        .reset_index()\n",
    "    this_metrics = pd.concat([this_metrics_dset, this_metrics_test])\n",
    "    this_metrics['rate'] = rate\n",
    "    this_metrics['thresh'] = best_thresh\n",
    "    this_metrics['train_size'] = len(train_samp)\n",
    "    \n",
    "    return this_history_df, this_metrics\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "375ed31d-be98-458c-97ba-dc86cddacc18",
   "metadata": {},
   "source": [
    "## Run Loop"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "f2773b95-7041-41cc-ac49-4a5310138fe9",
   "metadata": {},
   "outputs": [],
   "source": [
    "sample_rate_vals = [0.01, 0.05, 0.1, 0.2, 0.4, 0.7, 0.9, 0.95, 0.99]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "74f979e5-8aaa-4d0a-adea-70eac817d042",
   "metadata": {},
   "outputs": [],
   "source": [
    "history = pd.DataFrame()\n",
    "metrics = pd.DataFrame()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "9bdc1866-2381-4cde-a0ef-a1cd77133cba",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2024-05-25 07:28:02.146487: I metal_plugin/src/device/metal_device.cc:1154] Metal device set to: Apple M1\n",
      "2024-05-25 07:28:02.146520: I metal_plugin/src/device/metal_device.cc:296] systemMemory: 16.00 GB\n",
      "2024-05-25 07:28:02.146528: I metal_plugin/src/device/metal_device.cc:313] maxCacheSize: 5.33 GB\n",
      "2024-05-25 07:28:02.146582: I tensorflow/core/common_runtime/pluggable_device/pluggable_device_factory.cc:303] Could not identify NUMA node of platform GPU ID 0, defaulting to 0. Your kernel may not have been built with NUMA support.\n",
      "2024-05-25 07:28:02.146609: I tensorflow/core/common_runtime/pluggable_device/pluggable_device_factory.cc:269] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 0 MB memory) -> physical PluggableDevice (device: 0, name: METAL, pci bus id: <undefined>)\n",
      "2024-05-25 07:28:03.242188: I tensorflow/core/grappler/optimizers/custom_graph_optimizer_registry.cc:114] Plugin optimizer for device_type GPU is enabled.\n",
      "2024-05-25 07:28:07.140225: I tensorflow/core/grappler/optimizers/custom_graph_optimizer_registry.cc:114] Plugin optimizer for device_type GPU is enabled.\n",
      "2024-05-25 07:30:20.698883: I tensorflow/core/grappler/optimizers/custom_graph_optimizer_registry.cc:114] Plugin optimizer for device_type GPU is enabled.\n",
      "2024-05-25 07:31:17.903029: I tensorflow/core/grappler/optimizers/custom_graph_optimizer_registry.cc:114] Plugin optimizer for device_type GPU is enabled.\n",
      "2024-05-25 07:31:26.432486: I tensorflow/core/grappler/optimizers/custom_graph_optimizer_registry.cc:114] Plugin optimizer for device_type GPU is enabled.\n",
      "2024-05-25 07:34:00.072482: I tensorflow/core/grappler/optimizers/custom_graph_optimizer_registry.cc:114] Plugin optimizer for device_type GPU is enabled.\n",
      "2024-05-25 07:34:50.371030: I tensorflow/core/grappler/optimizers/custom_graph_optimizer_registry.cc:114] Plugin optimizer for device_type GPU is enabled.\n",
      "2024-05-25 07:35:06.182267: I tensorflow/core/grappler/optimizers/custom_graph_optimizer_registry.cc:114] Plugin optimizer for device_type GPU is enabled.\n",
      "2024-05-25 07:39:39.043621: I tensorflow/core/grappler/optimizers/custom_graph_optimizer_registry.cc:114] Plugin optimizer for device_type GPU is enabled.\n",
      "2024-05-25 07:40:31.789208: I tensorflow/core/grappler/optimizers/custom_graph_optimizer_registry.cc:114] Plugin optimizer for device_type GPU is enabled.\n",
      "2024-05-25 07:41:03.119541: I tensorflow/core/grappler/optimizers/custom_graph_optimizer_registry.cc:114] Plugin optimizer for device_type GPU is enabled.\n",
      "2024-05-25 07:50:22.364728: I tensorflow/core/grappler/optimizers/custom_graph_optimizer_registry.cc:114] Plugin optimizer for device_type GPU is enabled.\n",
      "2024-05-25 07:51:17.995863: I tensorflow/core/grappler/optimizers/custom_graph_optimizer_registry.cc:114] Plugin optimizer for device_type GPU is enabled.\n",
      "2024-05-25 07:52:31.284584: I tensorflow/core/grappler/optimizers/custom_graph_optimizer_registry.cc:114] Plugin optimizer for device_type GPU is enabled.\n",
      "2024-05-25 08:06:41.168952: I tensorflow/core/grappler/optimizers/custom_graph_optimizer_registry.cc:114] Plugin optimizer for device_type GPU is enabled.\n",
      "2024-05-25 08:07:34.041258: I tensorflow/core/grappler/optimizers/custom_graph_optimizer_registry.cc:114] Plugin optimizer for device_type GPU is enabled.\n",
      "2024-05-25 08:09:35.613101: I tensorflow/core/grappler/optimizers/custom_graph_optimizer_registry.cc:114] Plugin optimizer for device_type GPU is enabled.\n",
      "2024-05-25 08:36:12.620471: I tensorflow/core/grappler/optimizers/custom_graph_optimizer_registry.cc:114] Plugin optimizer for device_type GPU is enabled.\n",
      "2024-05-25 08:37:10.783637: I tensorflow/core/grappler/optimizers/custom_graph_optimizer_registry.cc:114] Plugin optimizer for device_type GPU is enabled.\n",
      "2024-05-25 08:39:58.479947: I tensorflow/core/grappler/optimizers/custom_graph_optimizer_registry.cc:114] Plugin optimizer for device_type GPU is enabled.\n",
      "2024-05-25 09:10:15.392417: I tensorflow/core/grappler/optimizers/custom_graph_optimizer_registry.cc:114] Plugin optimizer for device_type GPU is enabled.\n",
      "2024-05-25 09:11:08.586867: I tensorflow/core/grappler/optimizers/custom_graph_optimizer_registry.cc:114] Plugin optimizer for device_type GPU is enabled.\n",
      "2024-05-25 09:13:56.040744: I tensorflow/core/grappler/optimizers/custom_graph_optimizer_registry.cc:114] Plugin optimizer for device_type GPU is enabled.\n",
      "2024-05-25 09:39:19.975824: I tensorflow/core/grappler/optimizers/custom_graph_optimizer_registry.cc:114] Plugin optimizer for device_type GPU is enabled.\n",
      "2024-05-25 09:40:12.163222: I tensorflow/core/grappler/optimizers/custom_graph_optimizer_registry.cc:114] Plugin optimizer for device_type GPU is enabled.\n",
      "2024-05-25 09:42:34.454735: I tensorflow/core/grappler/optimizers/custom_graph_optimizer_registry.cc:114] Plugin optimizer for device_type GPU is enabled.\n",
      "2024-05-25 10:02:58.625873: I tensorflow/core/grappler/optimizers/custom_graph_optimizer_registry.cc:114] Plugin optimizer for device_type GPU is enabled.\n"
     ]
    }
   ],
   "source": [
    "%%capture\n",
    "for r in sample_rate_vals:\n",
    "    this_hist, this_met = gen_fit_loop(r)\n",
    "    history = pd.concat([history, this_hist])\n",
    "    metrics = pd.concat([metrics, this_met])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "ad4783f2-8d0b-4850-a45a-3a4be8e63318",
   "metadata": {},
   "outputs": [],
   "source": [
    "history['epoch'] = history.groupby('rate').cumcount()\n",
    "history.to_csv(Path(setup.temp_path).joinpath('30_REPORT_loop_history.csv'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "b1854de9-c6e9-41d4-813a-4c62d43b2bc3",
   "metadata": {},
   "outputs": [],
   "source": [
    "metrics.to_csv(Path(setup.temp_path).joinpath('30_REPORT_loop_metrics.csv'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "d934b1b9-a617-4330-8f1e-f3b7c89b1e0f",
   "metadata": {},
   "outputs": [
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       "      <td>0.670925</td>\n",
       "      <td>0.378926</td>\n",
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       "   dset  accuracy_score  f1_score  precision_score  recall_score  \\\n",
       "0  test        0.583170  0.410915         0.288216      0.715529   \n",
       "0  test        0.598575  0.423511         0.298998      0.725728   \n",
       "0  test        0.619881  0.429914         0.309165      0.705434   \n",
       "0  test        0.636971  0.438346         0.319653      0.697244   \n",
       "0  test        0.623628  0.441112         0.315849      0.731033   \n",
       "0  test        0.662892  0.447129         0.335290      0.670925   \n",
       "0  test        0.662704  0.445221         0.334342      0.666134   \n",
       "0  test        0.665666  0.445809         0.336097      0.661859   \n",
       "0  test        0.663227  0.446196         0.335039      0.667731   \n",
       "\n",
       "   average_precision_score  roc_auc_score  dset_naics_holdout  rate  thresh  \\\n",
       "0                 0.318617       0.676468                 0.0  0.01    0.14   \n",
       "0                 0.336830       0.694625                 0.0  0.05    0.18   \n",
       "0                 0.344459       0.703542                 0.0  0.10    0.20   \n",
       "0                 0.363779       0.713185                 0.0  0.20    0.18   \n",
       "0                 0.371314       0.719795                 0.0  0.40    0.20   \n",
       "0                 0.378926       0.725534                 0.0  0.70    0.20   \n",
       "0                 0.379560       0.725646                 0.0  0.90    0.24   \n",
       "0                 0.377062       0.726509                 0.0  0.95    0.24   \n",
       "0                 0.379390       0.725609                 0.0  0.99    0.20   \n",
       "\n",
       "   train_size  \n",
       "0        4468  \n",
       "0       22342  \n",
       "0       44684  \n",
       "0       89369  \n",
       "0      178739  \n",
       "0      312793  \n",
       "0      402163  \n",
       "0      424505  \n",
       "0      442379  "
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     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "metrics[metrics['dset_naics_holdout'] == 0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "73e89efd-75a9-4b27-81a8-13e12d5482be",
   "metadata": {},
   "outputs": [
    {
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       "      <th>1</th>\n",
       "      <td>test</td>\n",
       "      <td>0.539110</td>\n",
       "      <td>0.425539</td>\n",
       "      <td>0.283085</td>\n",
       "      <td>0.856594</td>\n",
       "      <td>0.344223</td>\n",
       "      <td>0.716532</td>\n",
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       "      <td>0.20</td>\n",
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       "      <td>0.853801</td>\n",
       "      <td>0.348997</td>\n",
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       "      <td>0.566054</td>\n",
       "      <td>0.429238</td>\n",
       "      <td>0.290857</td>\n",
       "      <td>0.818801</td>\n",
       "      <td>0.348513</td>\n",
       "      <td>0.716997</td>\n",
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       "      <td>0.95</td>\n",
       "      <td>0.24</td>\n",
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       "      <th>1</th>\n",
       "      <td>test</td>\n",
       "      <td>0.567184</td>\n",
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       "      <td>0.292347</td>\n",
       "      <td>0.824911</td>\n",
       "      <td>0.347815</td>\n",
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      "text/plain": [
       "   dset  accuracy_score  f1_score  precision_score  recall_score  \\\n",
       "1  test        0.428658  0.395784         0.250734      0.938989   \n",
       "1  test        0.579934  0.429348         0.294365      0.792965   \n",
       "1  test        0.573498  0.423113         0.289625      0.784848   \n",
       "1  test        0.517072  0.419697         0.275923      0.876320   \n",
       "1  test        0.521595  0.420798         0.277304      0.872043   \n",
       "1  test        0.539110  0.425539         0.283085      0.856594   \n",
       "1  test        0.540641  0.425554         0.283405      0.853801   \n",
       "1  test        0.566054  0.429238         0.290857      0.818801   \n",
       "1  test        0.567184  0.431700         0.292347      0.824911   \n",
       "\n",
       "   average_precision_score  roc_auc_score  dset_naics_holdout  rate  thresh  \\\n",
       "1                 0.312601       0.697386                 1.0  0.01    0.14   \n",
       "1                 0.326986       0.701531                 1.0  0.05    0.18   \n",
       "1                 0.332936       0.706173                 1.0  0.10    0.20   \n",
       "1                 0.342842       0.715118                 1.0  0.20    0.18   \n",
       "1                 0.342531       0.714529                 1.0  0.40    0.20   \n",
       "1                 0.344223       0.716532                 1.0  0.70    0.20   \n",
       "1                 0.348997       0.717450                 1.0  0.90    0.24   \n",
       "1                 0.348513       0.716997                 1.0  0.95    0.24   \n",
       "1                 0.347815       0.717462                 1.0  0.99    0.20   \n",
       "\n",
       "   train_size  \n",
       "1        4468  \n",
       "1       22342  \n",
       "1       44684  \n",
       "1       89369  \n",
       "1      178739  \n",
       "1      312793  \n",
       "1      402163  \n",
       "1      424505  \n",
       "1      442379  "
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "metrics[metrics['dset_naics_holdout'] == 1]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d0dae1f5-a6e2-46c3-bba7-f0966f93d3ed",
   "metadata": {},
   "source": [
    "## Plots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "ae6c4e12-c72e-4f71-aaca-62f0704dca6d",
   "metadata": {},
   "outputs": [],
   "source": [
    "#metrics = pd.read_csv(Path(setup.temp_path).joinpath('30_REPORT_loop_metrics.csv'))\n",
    "#history = pd.read_csv(Path(setup.temp_path).joinpath('30_REPORT_loop_history.csv'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "b14d8c25-2623-40be-a84c-43c752f60fa7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<module 'sba_nn.sba_nn.sbnn_plot' from '/Users/valeriecarey/Documents/projects/2024_05_blog_nn_rand/code/sba_nn/sba_nn/sbnn_plot.py'>"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "importlib.reload(sbnn_plot)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e7fba165-3d44-4a97-8227-03057298768b",
   "metadata": {},
   "source": [
    "##### Metrics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "5126ef4e-45a3-4a1c-9dba-37c59b8f75ef",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = sbnn_plot.plot_metric_dependence(metrics, xformatter = ticker.PercentFormatter(1),\n",
    "                                      ylabel='PR-AUC',\n",
    "                            xlabel='downsamp rate')\n",
    "fig.savefig(Path(setup.temp_path).joinpath('30_PLOT_average_precision.png'),\n",
    "            bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "26e38578-60a3-4986-bd7f-fd76b992f135",
   "metadata": {},
   "source": [
    "##### History"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "ffc7e367-f428-4f76-a517-4faa77cf7095",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<module 'sba_nn.sba_nn.sbnn_plot' from '/Users/valeriecarey/Documents/projects/2024_05_blog_nn_rand/code/sba_nn/sba_nn/sbnn_plot.py'>"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "importlib.reload(sbnn_plot)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "2342a31f-4891-4834-851a-b90b8b729c3c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = sbnn_plot.plot_history_group(history,\n",
    "                                  col_format_func = lambda x:f'{float(x):.1%}',\n",
    "                                  ylabel = 'PR-AUC (validation)',\n",
    "                                  leg_title='down rate')\n",
    "fig.savefig(Path(setup.temp_path).joinpath('30_PLOT_hostory_val_auc.png'),\n",
    "            bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "9e92ea2f-378d-47a1-b067-2ec715935c9f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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Cz507R6NGjbhw4QIVK1bE0NAQa2tr9uzZw4ULFzA2NubBgwfY2NgkaFCRnHiTK7HZaYBVq1apu81ZWFjQuHFjLCwsqFixIs+fP2fKlCnJun/c76BixYoUK1YsyXFp9Xo+RZJwIcQ35dmdFzy45IW2jjaNutXRdDhCCJGouBnwuJnb/0psX5R8+fLx5MkTXr58mWhbwBcvXgCQJ08e9bGaNWtiaGiIh4cHXl5evHnzho4dOwKxGx8C8VoYJlaKkt5evHjB3LlzyZ49O8uWLUvQQnDdunXJvlfevHkBqFu3LiNGjEjLMFNMasKFEN+Uw+tjZ8FrtqpCzrwJvz4VQojMIF++fJQsWZK3b9+qa57/7cSJEwmO1ahRA4CDBw8mes/9+/cDsYl3HD09PWrXrs2DBw/U5+OS76JFi2Jubs7Fixc5deoUKpUq0UWZ6e3GjRvExMRgbW2daA/vuM0Sk1OOEvc7On36dKJlMocPH+a7777j999//7Kgk0GScCHENyM6OpojG2N73DaTUhQhRCbXu3dvABwdHdU14gCXLl1i7dq1CcZ36dIFQ0NDXF1dcXV1jXdu586d7N69G0NDwwSdU+Jmt52dndHV1Y23y7e1tTVv377l+PHjWFlZYWpqmlYvL9ly584NxHY2efv2rfp4ZGQk8+fP5/Tp0wCEh4fHu05fXx+I3ZgojrW1NWXLluX27dvMnj073mLOZ8+eMW3aNB4/fpzo4tC0JuUoQohvxrVjt3j7KoDsuYywbl318xcIIYQG2dnZcf78efbs2UPLli2pXbs2ISEheHp6YmVlxdWrV+ONNzMzY9asWYwcOZLx48ezbt06ihcvzpMnT7h37x4GBgbMnj07wcLNBg0aALG7SFatWhUDg392ELa2tmb37t1ERUVppBQFYmfuy5Urx507d2jRooV6NvzGjRu8ffuWUqVK8fDhQ/z9/eNdV7RoUR48eICDgwPFihVj1qxZGBoaMm/ePHr16sXatWvZu3cv5cuXJywsjEuXLhEZGUmLFi3itUlMLzITLoT4ZsQtyGzUrR56+rqfGS2EEJqlUqmYM2cOkydPpmjRopw9e5bHjx/Tt29f/vjjj0Svad68OTt27KBNmza8ffuWI0eOEBQUhJ2dHTt37qRZs2YJrjEzM6NcuXJA/FIV+Kc0BTRTDw6xXVbWrVtH7969yZ07N2fOnOHSpUsULlyYyZMn4+rqSo4cObhx40a8RHz69OmUL1+ep0+f4unpqa6JL168OLt27aJfv34YGhpy9uxZ7t27R4UKFZgxYwZOTk4Zsn+ESklOAY1IF3E9Po8eParhSIT4+oUEh9I1/wDCQsJZ4PEHZa0TLloSQojkkPdvkRZkJlyILC4qMipZi1G+dad3nicsJJzCpQtQpmZJTYcjhBDiGydJuBBZ2K0zd7E1tmftr1s0HUqmF9cVxaZnwwzp/yqEEEJ8iiThQmRhf8/aRVRkNDvn7SHAL1DT4WRavs/ecP3EbVQqFTb29TUdjhBCCCFJuBBZlc8TXzz3xa6MjwiLxH1J4n1hBRzZENuWsFLj8uQrklfD0QghhBCShAuRZe1ZdhhFUTAxzQ6A25IDhIeGf+aqb4+iKOquKM16NtRwNEIIIUQsScKFyIIiwiI4sOYYAD8tG4hZ0bwE+gerZ3zFP+5eeMjLhz5kM9Snfifrz18ghBBCZABJwoXIgk5u9yDobTD5iphSp111Ov7UGoAdTu6JbsP7LTvsfAKAep2sMTA2+PRgIYQQIoNIEi5EFuS+NLb+u/UPzdDW1qZlvyYYmRji/cCHC3uvaDi6zCMiPJITW88Bsk29EEKIzEWScCGymIdXHnP3/EN0dLX5rl8TAAyzG9D6h9hd0HY4uWsyvEzlvPslPrz/SN5CeajUqJymwxFCCCHUJAkXIotx+38XlPp2tchlllN9vP2w79DW0ebGyTvcv+Sloegyl7gFmU2/r58hWxALIYQQySVJuBBZSHDAB45vOQNA2yEt453LWygPjbvXBWQ2HCDAL5CL+68BYOMgXVGEEEJkLpKEC5GFHHY+SXhoBCWsilK+TukE5+1G2gJwarsHvs/eZHR4mcrxLWeIjoqmdA0LipYtpOlwhBBCiHgkCRcii4iJicHt/wsybQe3SHTrdYtKxajStCIx0TG4/rU3o0PMVI7E9QaXBZlCCJEpXL9+nXLlynHu3LlkX+Pq6kr79u2pXLky9erVY/LkyQQGJtwhesOGDdSrV48aNWowYsQI3r17l2DMpk2bqFWrFh8+fPii15FWJAkXIou4duwWLx/6YJjdgKbf10tyXOdRsbPh+1Yd5cP7jxkVXqby5NZzHl55go6uNo271dV0OEII8c17+vQpP/74I9HR0cm+Zvny5YwfP56cOXMyZswYbG1t2b59Ow4ODoSFhanHXb58mWnTpmFtbc3QoUO5cOECEyZMiHevjx8/smTJEgYNGoSxsXGava4voaPpAIQQyeO25AAAzRwafrLfdfUWlSlWvjBPb79g38ojdBnTLqNCzDSOrI+dBbduU40cebJrOBohhPi2HT58mIkTJyY6g50UHx8fFi5cSP369VmxYgVaWrHzxmXKlGHs2LFs2LCBAQMGALBr1y7y5s3L7Nmz0dbWRkdHhylTpuDv74+pqSkAa9asQV9fnx49eqT9C0wlmQkXIgvwe+GPh9slAGwHN//kWJVKRacRbQDYtXA/UZFR6R5fZhIdFc2RTacB2aZeCCE07YcffmDo0KHkzZuXNm3aJPu6PXv2EBkZiYODgzoBB2jbti1mZma4uLioj/n4+FCoUCF1F6yiRYsC8OrVKwD8/f1Zs2YNP//8M3p6emnxstKEJOFCZAH7VhwhJkahcuPyFC1X+LPjm3xfn1xmJrzxfsvJbR4ZEGHmceXoTd75BJAjT3Zqtqqi6XCEEOKb9vjxY0aOHImrqyvFihVL9nXXr18HoHLlyvGOq1QqrKysePz4McHBwQCYmprGm2UPCAgAIHfu3AAsWrSIokWLYmtr+wWvJO1JOYoQmVxkRCT7Vh0BYhdkJoeevi7thn7HOse/2T7XjSY96iW6kPNrdHj9CQAad6uLrp6uZoMRQohPUBSFsJBwTYeRpGyG+l/83rFv375UzT6/fv0aQ0NDcuTIkeCcubk5AC9fvqRMmTLUqVMHV1dXXFxcqFKlChs3bqRkyZIUKFCAJ0+esH37dpYtW5bp3gclCRcikzvr6kmAbyC58+eiTrsayb7OdlBz/p7hite1p1w7fosqTSqmY5SZw8egEM66egKxtfNCCJFZKYrCz/UduXPuvqZDSVL5uqWZd2rqFyWvqS3/CA4OxsjIKNFz2bJlAyAkJASANm3acObMGfViTHNzcxYtWoSWlhbz5s2jevXq1K9fP1VxpCcpRxEik4vbIbP1ABt0dJP/uTlHnuw0790I+HY27zm94zwRYZEUKVsQy+oWmg5HCCE+KZNNzGYZiqIAqGvFtbS0mD17NseOHWPnzp0cPnyYihUrcu3aNQ4dOsTo0aMBcHFxoU2bNtSrV48xY8Yk2sYwI8lMuBCZ2JObz7h5+i5a2lq0GtA0xdd3/Lk17ksP4bnvKs/uvEhWPXlWduj/pSjNejbMdF87CiHEv6lUKuadmvrVl6OklpGREf7+/omei2tPmD17/O5XBQsWpGDBguqfZ8+ezXfffUfFihXx9PRkwoQJjB07lsqVK/P7778zZswYVq9enX4v4jMyfRLu6enJsmXLuHv3LmFhYZQuXRoHBwdatWqV6nu6u7szevRobG1tmTNnToLzMTExbNmyhR07dvD48WMASpQoQceOHenRo4d69e2/vXjxgoULF3Lx4kXevn1LwYIFad++PX379kVXV+pSReq4Lz0EQN0ONTEtmCfF1xcsmZ+6HWpyxuUCO5z2MGrV4LQOMdPweeLLzVN3UalUNLVvoOlwhBDis1QqFQZG2TQdRqZUqFAhbt++zYcPHxL09X79+jVaWlqYmZklef3Ro0e5ceMG+/btA2LbGBYuXJh+/foB0L9/f8aOHYufnx/58uVLvxfyCZm6HMXNzQ0HBwc8PT0pV64cNWrU4Pbt24wYMYIFCxak6p4+Pj5MmTLlk2PGjBnDlClTePr0KTVq1KB69eo8efKEadOmMWzYMPXXIHEePnxIp06d2L17N3nz5qVhw4a8f/8eJycnBgwYQFTUt9UiTqSNj0EhHNl4CoC2yVyQmZi4reyPbjzFu9cBaRJbZnRkQ+zvqkrTCuQtlPIPLEIIITIPKysrAG7evBnvuKIo3Lhxg1KlSiW56U50dDRz586la9euFClSBAA/Pz91z3D4p3PK69ev0yP8ZMm0Sbi/vz+Ojo4YGBiwdetWVq9ezYoVK9i1axempqYsWbKE27dvp+ieiqIwbtw4goKCkhxz4sQJ9uzZQ+HChTlw4ACrVq1i9erV7Nu3j/z583P06FH2798f75px48YRGBjI1KlT2bZtGwsXLuTw4cPUqFEDDw8PNm7cmKrfgfi2Hd14mtAPYRQuU5BKjcqn+j7l65SmbK1SREZE4bb4YBpGmHkoiqLept5GeoMLIUSW991336Grq8vq1avjTX7u3r0bPz8/OnbsmOS1Li4uvH79miFDhqiPmZub8/LlS2JiYgB4/vw5wCdn09Nbpk3CN23aRFhYGPb29pQv/08CYmFhwciRI1EUBWdn5xTdc+3atVy4cIEaNZLuMHHmzBkAunbtGu8vpkCBAnTv3h2Aixcvqo97eHhw+/ZtqlSpQpcuXdTHjY2N+eOPP1CpVDg7OyeYPRfiUxRFwX1pbMLcdnCLL67J6zyqLQDuyw5l6vrD1Lp97j6vvHzJZqRPvY7Wmg5HCCFECrx48YLdu3dz9epV9bGCBQsyaNAgTp8+Td++fdm2bRuzZs3i119/pWLFinTr1i3Re4WGhrJgwQL69u1Lnjz/fCtqa2uLn58fY8aMYf369SxZsoS6detKEp6Ykyf/P6tlY5PgnI2NDSqVihMnTiT7fvfv32fevHk0btz4k5+e4pIdX1/fBOfiVtGamJgkiLNJkyYJxhcpUoTSpUvz6tUr7t/PvC2IROZz49Qdnt5+QTYjfZo5fHl9c532Nchfwoygt8Ecdj7x5QFmMnHb1Ne3qyX1lUIIkcVcvHiRsWPHsnXr1njHhw4dyu+//46fnx9Tpkxh//79dO3aldWrV6vbFP6Xs7MzMTEx9OnTJ95xa2trpk2bxvXr11mwYAE1atTgzz//TLfXlByZcmGmoig8evQIgFKlSiU4b2JigqmpKW/evMHX1/ezn2IiIiIYPXo0RkZGTJs2jVOnTiU5tkGDBqxfv54tW7ZQrFgxWrdujZaWFvv27WPTpk2YmJhgZ2enHv/w4UMALC0tE71fyZIluXfvHg8ePKBMmTKffe1CAOpZ8KbfN8DIJPE+qSmhra1Nx59as/inNeyYt4dWP9gkusA4K4oIi+DEtnMANHdopNlghBBCJGnYsGEMGzYswfGOHTsmOUHavXt3dSVCcgwaNIhBgwYleq5z58507tw52fdKb5lyJjwwMJDw8HCMjIwwNDRMdEzcStak2tf8m5OTEw8ePGDy5MnxivITU79+fYYPH45KpWLq1KnUqlWLmjVr8vvvv2NlZcXWrVspVKiQeryfnx8AefPmTfR+ccffvn372TiFAHjrE8AZl9gNZ2wHN0+z+7bo04jsuYx49eg1590vp9l9Nc3D7RIfA0PIV8QUq4blNB2OEEIIkSyZMgkPDQ0FwMDAIMkx+vr6wD+7JSXFw8ODdevW0bZtW1q0SF6HiYYNG1KlShWMjY2pW7cuNWvWxNDQkOvXr7Nly5Z49d1xsSb1tUhcnB8/fkzWs4XYv+oo0VHRlK9bGotKxdLsvgbGBrQeGJvUf02b9xyOW5Bp30C9cYMQQgiR2WXKd6y4N9LkLEaLW+WamKCgICZMmICZmRmOjo7JevaxY8fo1q0bkZGRHDhwgDVr1rBhwwb27t2LpaUlzs7O8dojxn2l/7lYZWGmSI7oqGj2rjgMfFlbwqS0G9oSHV1tbp25x90LD9P8/hktwPc9Fw9cA8Cmp/QGF0IIkXVkyiTcyCi2BjZuR6TEhIfHdnhIqlwFYPLkybx+/ZoZM2aQI0eOzz43KiqKKVOmEBMTw59//hmvxKRAgQLMmTMHLS0t1q1bp54Bj3t+XDypiVOIOOfcLuH/8h058+agXqdaaX5/0wK5afJ9feDrmA0/tvkMMdExlLEuReHSBT9/gRBCCJFJZMqFmUZGRhgZGREcHExYWFiipR5xtdhJ7XJ08+ZN9uzZQ86cOXFxccHFxUV9ztvbG4CrV68yevRoLCwsGDx4MM+ePcPHx4fixYtTuHDC7b0tLCwoVKgQz58/59mzZ5QpUwYzMzPu3LnDmzdvKFu2bIJr3rx5AyRdMy7Ev8UtyPyuf1P09NNnp1W7EW04tO4EZ3aex+eJL/mLa64905eK26a+uYP0BhdCCJG1ZMqZcJVKpe6K4uXlleD8+/fv8ff3x8TEJMnOKHG14u/fv8fd3T3en7g+lN7e3ri7u3PuXGxnheDgYAB0dJL+bBJXfhIZGQnwyTjh891ThIjz/N5Lrh69iZaWitY/NEu35xSvWJRqzSsRE6PgMn9vuj0nvXldf8rj68/Q1dOhYdc6mg5HCCGESJFMmYRDbJcSgCNHjiQ4d+TIERRFoUGDpGtAra2tuX//fqJ/ZsyYAcQ2br9//z4bNmwAoFixYmhra+Pl5aWeLf83b29vnj9/jp6eHhYWFgDqGBKL8/nz5zx48ID8+fNTunTpFP4GxLdmz7JDAFi3qYZZ0fT95qTzqNit7A+sOUZwwId0fVZ6Ofz/3uC1bKuRI3d2DUcjhBBCpEymTcLt7OwwMDBg3bp1XLlyRX388ePHzJ8/H4D+/furj/v5+eHl5aUuU0mNnDlz0rJlS2JiYhgzZgwBAQHqc/7+/owZM4bo6Gjs7OzUNd7Vq1enbNmyXLp0ifXr16vHf/jwgV9++QVFUejbt+8X73govm6hH8M49P9NdGzTYUHmf1W1saKEVVHCPoazd/nhdH9eWouOiubY5tOAbFMvhBAia8qUNeEA5ubmTJw4EUdHR+zt7bG2tkZPTw8PDw/Cw8MZNWpUvM1vnJyccHV1pUOHDsycOTPVz/3tt9949OgRV65coUmTJtSsWZPIyEiuX7/Ohw8fqFq1KmPHjlWPV6lUzJgxA3t7e6ZPn86uXbsoVKgQly5d4u3btzRq1IgePXp80e9CfP2Obz7Dx8AQCpQ0p1ozq3R/nkqlwm6kLbN7L2LXov10GtkGXb30qUFPD5cP3yDANxAT0+zU/K6KpsMRQgghUizTJuEQu7ORubk5K1as4Nq1a2hra1OuXDn69u1L8+Zpt4nJv+XMmZOtW7fi7OzMvn37OH/+PAAlSpTA1tYWe3t79PT04l1TtmxZduzYwYIFC/Dw8MDLy4siRYrQr18/evbs+ckacyEURcHt/wsybQc1z7Be14261WH1L5t4+yqAE3+fo1kWWtx4+P8LMht3r4eOrvz3JYQQIutRKdLAWmOaNm0KwNGjRzUcidCkOx73+anur+hl02WL9/IMrW/+e6Yrq3/ZTPGKRVh+bU6WKJv68P4jXfIPIDI8ksUXZ2JZzULTIQkhvjHy/i3SQqatCRfiWxE3C964W70MX2DYemAzshnp8+Tmc64cuZGhz06tU9s9iAyPpFj5wpSqWkLT4QghhBCpIkm4EBr0/k0gp7Z5AGA7JP0XZP5X9lzGtOzbBMg6m/eot6nv2TBLzNwLIYQQiZEkXAgNOrD6GJERUZSuYUHp6popq+j4c2u0tFRcOnidJzefaSSG5Hrl9ZpbZ+6hpaWiqX19TYcjhBAiGSZMmEDp0qUT/fPvzRQTEx0dzbp16/juu++wsrKiSZMmzJs3L8Gu6oqiMG/ePKytralduzaTJk1S7xnzb7Nnz6ZVq1ZER0en6WtMDVnRJISGREdHs+f/7QEzoi1hUvIXN6Nep1qc2u7Bjnl7GLPmR43F8jlHNpwCoIqNFaYFcms4GiGEEMlx7949ChcuzLBhwxKcq1q16ievnTx5Mlu3bqVFixY4ODhw584dli9fzq1bt1i1apX6G1F3d3eWLVtGz549yZcvH0uXLkVbW5vffvtNfS8fHx82btyIk5OTevNFTZIkXAgNubj/Gr7P3pA9tzGNNLzjo91IW05t9+DYptP0nd6DPPlzaTSexCiKoi5FkW3qhRAia4iKiuLRo0c0b96cdu3apeja69evs3XrVrp06cLUqVPVx/Pnz89ff/3F/v37adWqFQC7du2iYsWK/Prrr0DsjumbN2/G0dFRnaj/9ddflCtXDhsbmzR6dV9GylGE0JC4BZkt+zRG30Bfo7GUtS5F+bqliYqMZtfC/RqNJSm3ztzj9RM/DIyzUad9TU2HI4QQIhmePHlCREQElpaWKb7W1dUVgN69e8c73rt3b3R1deOVsvj4+FC0aFH1z0WLFiU0NJR3794BcP/+fXbv3s2YMWNS8SrShyThQmjAK6/XXDpwDYA2g9Kn531KdR7VFoC9yw8R+jHsM6MzXtw29Q3sapPNULMfWoQQQiTPvXv3AChVqhQAoaGhya7Hvn79OtmzZ8fCIv6aKUNDQ0qVKsWNG/909TI1NSUwMFD9c0BAADo6OpiYmAAwZ84cGjVqRLVq1b7o9aQlKUcRQgP2LDuEoijUaFmZAhbmmg4HgFq21ShQ0pxXj15zcO1x2g/9TtMhqYWHhnNy+zkAmvWSUhQhxNdBURTCQyM1HUaS9A10v7gLVVwSfvLkSaZOncqrV6/Q1dWlQYMGjB8/niJFiiR57evXr8mfP3+i58zMzLhz5w7BwcFkz56dOnXqsHjxYk6ePImZmRkuLi7Url0bHR0dzp8/z9mzZ3Fzc/ui15LWJAkXIoOFh4ZzYO1xQLMLMv9LW1ubTj+3YeHQVbjM34vt4OaZYuEKwLndlwgJCsWsaF4q1i+r6XCEEOKLKYrCqF4ruXPtuaZDSVK5KkWYu27AFyXi9+/fB+DatWsMGTKEnDlzcuXKFTZs2MCVK1fYvn07hQsXTvTa4ODgJJN0AwMDAEJCQsiePTu9evXi0qVL/PDDDwCULFmSSZMmoSgKf/75J+3bt6dkyZKpfh3pQZLwr1BEWAQ75+2lSNmC1G5bPcO2QRfJc3KbB8HvPmBWNC81W1XRdDjxNO/dCOdJW/F57Mu5XRep36mWpkMC/tmm3qZnA/n/sxDi6/ENbHXQpk0brKysGDRoEHp6egA0a9aMKlWqMGzYMObOncv8+fNTfN+4Dd/j3hMMDQ1ZtWoVT58+JTw8nJIlS6Kjo8PevXt59OgRixcvRlEUVq5cyY4dOwgPD6dZs2aMGjVKndBnNEnCv0I3T99lzcTNABQpW5CuY9vTpEc9dHTlrzszcP//gsw2A5tlmpnmONkM9bEd1JxN03eyw8k9UyThb30CuHzoOhC7QY8QQnwNVCoVc9cN+OrLUdq3b5/o8ebNm5M/f37OnDmT5LVGRkaEhoYmei6uT3iOHDnUx1QqFcWLF1f/HBERwbx58+jZsyfm5ua4uroyf/58/vjjD8zMzBg3bhwRERFMmTIlFa/sy8mU0leocpMK9PytM0Ymhjy/+5I/+yzGoeRQXBfsIywkXNPhfdPuX/LinucjdPV0aPH/nSozm3ZDW6Krp8MdjwfcPndf0+FwbPMZYmIUytW2pFCpxGsDhRAiK1KpVGQz1Mu0f9J7V+I8efIkuqFOnIIFC+Lr65voudevX5MrVy709ZNeqP/3338THBysLlHZtWsXNWrUoH379tSuXZtu3bqxa9cu9ax6RpMk/Cukra2Nw+9d2PRsKf1n2pPLzIQ3L96y5Oe12BcbzKZpOwkO+KDpML9J7ktiZ8EbdK5NrnwmGo4mcbnMctLUvgGg+a3sFUVRl6I0c2ik0ViEEEKkjL+/P7a2tgwfPjzBucjISJ49e5ZkPThApUqVeP/+Pc+fx6+b//jxI48ePaJKlaRLOj98+MCSJUsYOHCgerbcz88PU1NT9ZjcuXMTHh6ubmOY0SQJ/4oZ5TCk69h2bHyyhOFLBmBePB+B/sGs++1v7IsNYeXYDbz1CdB0mN+MoHfBHP879mu3zLQgMzF2I9sAcNbVk1derzUWh9f1pzy5+RxdfV0adqmtsTiEEEKkXJ48eYiIiODYsWPcvXs33rnly5cTHBxMp06dkrze1tYWgFWrVsU7vm7dOiIjI+nYsWOS165cuRIDAwPs7e3Vx8zNzXnx4oX65+fPn6Onp0euXJrZoE6KhL8Betn0sB3UnFb9m3Jy2zn+nrWLJzefs22OG64L99O8VyO6jm1H/hJmmg71q3Zo3QkiwiKxqFyMcrVTvmlBRiparjA1W1XBc99Vds7bw7BF/TUSx2Hn2N7gtdtWJ3suY43EIIQQInVUKhW///47AwYMwMHBgR49epAvXz7Onz/PoUOHsLa2Vm/Ec+/ePe7fv0/p0qUpU6YMELulfceOHdm6dSuBgYHUq1ePGzdusH37dho3bpzkzpd+fn44OzszadIk9WJQiE3qJ0yYwLRp0zAzM2PLli20b99eYwv+VYqmCmEETZs2BeDo0aMZ+lxFUbiw9wpbZrpy5/81v1paKhp2rUO3cR0oYVX0M3cQKRUTE0OfMj/x6tFrRiwfSKsBmWPL3E+5euwmY22mkM1Qn03PlpIjT/YMfX5UZBTdCw/ivV8gU93GU6tN5tlgQQjxbdPU+3dWdfPmTRYvXszly5cJDQ2lcOHCtG3bln79+qmT5IULF7Jo0SKGDh3KsGHD1NdGRUWxcuVKdu7cyevXrzE3N8fW1paBAweSLVu2RJ/n6OjItWvX2L17d7wEW1EUli1bxt9//014eDjNmzdn3LhxGBkZpe8vIAmShGuQpv8jVhSFm6fv8vdMVy7+f/dGAOvWVek2vgMV6pbRSFxfo0uHrjOh5TQMcxjw98sVGBgl/g9HZqIoCoOrjcXr2lN6T+3G9xOT/sowPZzfcxnHtjPJmc+ELS+WSXcfIUSmoen3b/F1kJrwb5hKpcKqQTn+2DeRpZdn07BLbbS0VFzYe4UR9R0Z2fA3PPdf1diq4a9JXFvC5r0aZYkEHGL//xG3lb3b4gNEhGdsG63DG2JLUZp0l/aaQgghvj6ShAsASlYpzq9/j2T13b9o1b8puno63Dx9l4mt/2BwtbGc2HqW6OhoTYeZJfk9f8N590tA5l+Q+V8Nu9Qmb6E8vHv9nmObk+7lmtaCAz7g4Rb7O2vmIL3BhRBCfH0kCRfxFCqVnxErBrHeaxF2I23JZqSP17WnTO8+n75lfmLvisMZPiOa1e1ZfpiYGIUqTStSpExBTYeTIjq6OrQf9h0AO53cM+xbkZPbPIgMj6R4xSJYVC6WIc8UQgghMpIk4SJRpgXzMHCOA5ueLcXh9y7kyJOdV16+zB+0gp4lfmT7XHdCghPfxUr8IyI8kv2rjwFZbxY8TusfbDDMbsDT2y+4dPBahjwzrhSlWc+G6b5ZhBBCCKEJkoSLT8qROzs9f+vMxqdLGOzUO7Y0wSeAFWPWY19sMM6TthLoH6TpMDOtMy4XeO8XSJ4CuajTtrqmw0kVIxMjvusXu7tnRmze4/3Qhzvn7qOlpaLJ9/XT/XlCCCGEJkgSLpLFwCgbHX9ujfOjhYxaNZhClvkJDvjIxqk7sC82hCU/r8Xvhb+mw8x04hZktv6hGdo62hqOJvU6/NQaLW0trhy5yaNrT9L1WUf+PwterXkl8uTXzAYKQgghRHqTJFykiK6eLi37NmHV7Xk4bhtJqarFCQsJx3XBPnqVHMqcvkt4cf+lpsPMFB7feMatM/fQ1tHOEn3BP8WsaF4adI7dsXLnvD3p9pyYmBiObDgFyDb1Qgghvm6ShItU0dbWpoFdbRZfnMXMg79SuXF5oiKjObjuOP3KjWBK5zk8uOyl6TA1ym1J7Cx4vY41v4oZXbuRsdsHH99yljfeb9PlGTdP38X32RsMcxhQp13WLN8RQgghkkOScPFFVCoV1ZpV4s+jv/PXuenUaVcDRVE4vfMCP9YYz7gWU7l2/NY312v8Y+BHjm6KndHNqgsy/6t0dQusGpYjOiqaXQv3p8szjqyPLUVpYFcbfQP9dHmGEEIIkRlIEi7STLlalkx2HcvKm07Y9GwQW0N8+AZjmk5meJ2JnNt9kZiYGE2HmSEObzhF2MdwipYrhFWDcpoOJ83EzYbvXXE4zbvjhIWEc2rHeSB2UyMhhBDiayZJuEhzxcoXZpzzMJwfLqTtkBboZdPl3oWHTOowmx+sRnF4w0miIqM0HWa6URRFvSDTdnCLr6rFnnXrqhQuXYCPgSEcWHMsTe99bpcnIcGhmBfPR/m6pdP03kIIIURmI0m4SDfmxfIxbFF/Nj5ZQrfxHTDMYcCzO97M7rWI3pbD2b34ABFhEZoOM81dP3Gb53dfYmCcDZueDTQdTprS0tKi04g2ALjM30t0VNrtonpo/T+9wbW05J8mIYQQXzd5pxPpLpdZTvr90YPNz5bS748e5Mxngu+zNywatpphtX7B54mvpkNMU27/nwW3sW+AUQ5DDUeT9mx6NiBn3hz4PnvDGZcLaXJP/5dvuXrkhvr+QgghxNdOknCRYYxMjOg2vgMbnyxm+OL+5MxnwuMbz/ixxniuHL2p6fDShP+rd5x19QTAdnBzDUeTPvQN9NWLTbfPdUuTRbdHN50hJkahQr0yFLAw/+L7CSGEyHyuX79OuXLlOHfuXIJzr169YuzYsdSrV49KlSrRpUsXjh49mux7h4aG8tdff9GsWTOsrKxo0aIFq1evJjo6/je2ERERODo6UrVqVRo0aMD8+fOJikpYIvvTTz/Rt2/flL/IFNBJ17unAU9PT5YtW8bdu3cJCwujdOnSODg40KpVq1Tf093dndGjR2Nra8ucOXPUx729vWnatGmy7nH06FEKFSoEwJ07d+jQoUOSYytVqsS2bdtSHe/XJi6Jq2VbnSl2c7jn+YgJLaYyYHZPOo1ok6VrqPevPEpMdAwV65eleMWimg4n3dgOacHW2bu4f9GLW2fuUbF+2VTfS1EUDq8/AcSWogghhPj6PH36lB9//DFBUgzw5s0b7O3tef/+PT179sTMzIwdO3YwZMgQ5syZg62t7SfvHRMTw/Dhwzl9+jSdOnXCysqKs2fPMnv2bJ4+fcrUqVPVY1evXo2LiwsDBgxAURRWrFhB9uzZ6devn3rMjRs3OHToEDt37ky7X0AivigJDw8P58qVK/j4+PD27VuioqIwMTGhePHiVKpUCUPDL/sq3s3NjbFjx6Kjo4O1tTXa2tp4eHgwYsQIHj16xPDhw1N8Tx8fH6ZMmZLoOUNDw0/+Rd+/f58HDx5QoEABcuX6p+/z7du3AahQoQLFixdPcF3Rol9vMvYl8hbKw9wTk/lryEoOrTvB8tHreXT1CSNWDMyS7emiIqPYu/Iw8PW0JUxKrnwmNOvZkL0rj7DDyf2LkvBHV5/w7I43uvq66g2BhBBCfD0OHz7MxIkTCQwMTPT8okWLePnyJZs3b6ZatWoAdOzYkc6dOzN9+nSaNm36yZzywIEDnDp1ihEjRjBo0CAAunbtysSJE9m2bRt2dnZUqlQJgF27dmFjY8PPP/8MxH442LFjR7wk/M8//6RVq1aUK5e+3c1SnIRHR0ezf/9+du7cyeXLl4mMjEx0nLa2NtbW1nTp0oUWLVKekPj7++Po6IiBgQEbN26kfPnyAHh5eeHg4MCSJUto2rSp+nhyKIrCuHHjCAoKSvR87ty5482M/9ubN29o164denp6LFmyBCMjI/W5u3fvAjBs2DAaNWqU7HgE6GXTY/TqIZSqWoKlI9ZxdNNpnt/15neXMeQrklfT4aXIud0XefsqgJz5TKjXsaamw0l3HUe0Ye/KI3i4XcL7wSsKWRZI1X0OOZ8AoG77GhjnNPr0YCGEEFnKDz/8wMmTJylZsiT169dnz574uy5HR0fj5uZGpUqV1Ak4QLZs2ejZsyeOjo6cOHHikxUQrq6u6OrqYm9vH+/4gAED2LFjBy4uLuok3MfHJ15eWrRoUU6cOKH++cSJE1y9epX9+9NnP4x/S1FN+L59+2jZsiVjxozBw8ODHDlyULduXbp27Ur//v3p27cv7du3p06dOhgYGHD27Fl+/vlnbG1tOXToUIoC27RpE2FhYdjb28dLtC0sLBg5ciSKouDs7Jyie65du5YLFy5Qo0aNFF0HMH78eN6+fcuoUaMoWzb+rN+dO3cAUvSBQPxDpVLRfuh3zD7yGyam2Xl45QlDqo/j+onbmg4tReLaErbq3xRdPV0NR5P+ipQpSC3baiiKkuqt7KMiozi+5QwANlKKIoQQX53Hjx8zcuRIXF1dKVasWILzDx8+JCQkRJ0k/5uVlRUQW0v+KTdu3MDCwgJjY+N4x4sVK4aJiQk3btxQHzM1NY03Ix8QEECePHmA2LKWuXPn0q1bNwoXLpzs15hayZoJ9/f3Z8KECZw+fZrixYszZswYmjRpkugvM46iKNy7d48DBw7g4uLCTz/9RKNGjZg+fTq5c+f+7DNPnoxtV2ZjY5PgnI2NDRMnToz3yeVz7t+/z7x582jcuDHNmzfn4sWLyb72wIEDnDlzhgoVKuDg4BDvXExMDPfv3ydfvnzkzZs5Zm4D3n5g7q87qdO0HK3sUv6BQ1MqNSzPkkuzmNThTx5dfcLYZlMY7NSbdkNbZvo68Wd3vbl2/DZaWipaD2ym6XAyjN1IW867X+aQ8wl6TelKzrwmKbrec/9VAv2DyWVmQvXmCf8BFkKIr5miKISFJ15RkBlk09f94vffffv2oaenl+R5X9/YDmn58+dPcM7cPHahvre3d5LXh4aG8v79e6pUqZLoeTMzs3jX16lThwMHDtCuXTsADh06RMuWLYHYGfWXL18yZMiQz7yqtJGsJNzW1pacOXOyaNGiRJPixKhUKsqWLUvZsmUZPnw4+/fvZ/78+dja2nL27NlPXqsoCo8ePQKgVKlSCc6bmJhgamrKmzdv8PX1xczM7JP3i4iIYPTo0RgZGTFt2jROnTqVrNcQd+3s2bMBmDhxYoL+xU+ePCEkJITy5cuzdOlS9u3bx/Pnz8mRIweNGjVi6NChn40vrfl4v+PS2YdcOvuQwHcf6f5Dowx9/pfIVyQv889MZd7A5RzdeJrFP63h4dXH/LRkAHrZkv6PWNP2LI39pqd22+rkK2yq4WgyjlWDcpSqVoKHlx/jvvQQPX/rnKLrj2yI/bDdpEd9tHW00yNEIYTIlBRFYcjELdy8/0rToSSpYpmCLJnW7YsS8U8l4ADBwcEAidZ8GxgYALGJdmquj7vHv6//6aefuHPnDt27dwegatWq/Pzzz4SHh7NgwQL69euXrMnitJCscpQBAwbg7u6e7AT8v7S1tWnTpg379u2jd+/enx0fGBhIeHg4RkZGSf5S8+XLB8TO0n+Ok5MTDx48YPLkyZiapixB2rlzJy9fvqRevXpUrVo1wfm4RZkXL15kyZIl5MuXjxo1ahAZGcm2bdvo2LGj+gNFRilXqQgOQ2O7vDgvOoLzoiNp0kYuo+gb6DPOeRiD5vZCS0vFoXUnGNnwN954v9V0aIkK/RDKof939/jaF2T+l0qlovOotgC4LTmYos2Xgt4Fc979MiDb1AshvlGZ/FvejPCp/CTu3Kc+BHwuv1EUJd71efPmZfv27bi7u7Nv3z42b95Mrly5cHZ2Jjo6mj59+hAZGcmsWbNo3LgxNjY2LFq0KNE2hl8qWTPhadUnUU9PjwEDBnx2XNwnlrhPQInR14/tnhESEvLJe3l4eLBu3Tratm2b4gWiiqKwfv16APVq2/+KW5RZsWJFFi9erJ71DgkJwdHRkT179jBy5Eh2796doSUVPX5ojJ6eLqucDrBlxQkiwiLpPyrzl3XEUalUdBrRhuIVizCt2zzuX/RiSPVxTNoxigr1Ut+JIz0c3XSGkKBQCpbKT5WmFTUdToZrYFeLVeNN8Xvuz5GNp2nVP3ltPk9uPUdkRBQlKhWlhJV0EBJCfFtUKhVLpnX76stRPieu0UVYWFiCc3H5YI4cOT57fVKz5WFhYQmu19bWxtLSUv1zQEAAK1asYNSoURgaGrJo0SK2bdvG7NmzURSFsWPHoqury8CBA1P24j4jU27WE1fykZy/+JiYmCTPBQUFMWHCBMzMzHB0dExxHGfPnuXx48dUqlQpycWcI0eO5NChQ6xevTpe2YmhoSHTpk3DzMyM+/fvp6gGPa3Y9a7HkAmxW4zvXH+WxX/s+eTvKzOqamPF4oszKWFVlPd+gYxuMhn3ZYcyzcy+oijqBZm2g5p/k9uta+to0/Gn1gDscHJP9v/HDm/4Z5t6IYT4FqlUKgyy6WXaPxkxcRe358rr168TnIurF4+rDU+MsbExuXLlUo/9r9evX3/yeoBly5aRJ08eOneOLanctWsXLVq0oGnTptjY2PDdd9/h4uKSrNeTEl/UJ9zLy4sHDx4QGhr6yTdeOzu7FN33U5+K4oSHhwNJ1wABTJ48mdevX7NmzZpPfopKSlx7mvbt2yc5RldXN8k+4AYGBtSqVYvdu3dz69YtatbM+LZ1bbvXQldPhwVTdrNn6wUiIiL56bf2aGtnnWQxf3Ez5p+dhlP/pZzYeo4FQ1by6MpjflzYDz19zXYhuX3uPo9vPEPfQI/mvRtpNBZNatmvCesnb+PFvZdc3H8V69bVPjn+xf2X3D3/EC1tLZr0qJdBUQohhMhsSpQoQfbs2eN1MIkT1xUlsXLgf7OyssLDw4PQ0NB4VRRPnjwhKCgoyUWbELvoc/PmzcyZMwcdndi02M/PL175cu7cuRP9kPClUpWEh4WFMXLkSI4fP56s8alJwo2MjAgODiYsLIxs2bIlGOPn5wf8Uxv+Xzdv3mTPnj3kzJkTFxeXeJ9g4lbJXr16ldGjR2NhYcHgwYPjXR8TE8Px48fR0dFRr5pNjbi/xE8tKkhv33Wqjp6+DnN/3ckh1ytEhkcxelqnLLUQzsAoG79s/pmSVUqwesIm9q06ytPbL3DcPgrTAhmzgCIxcbPgjbvXI3su48+M/noZ5TCk9QAbts91Z4eT+2eT8CMbYhdHV29RidzmuT45VgghxNdLR0eHVq1asW3bNq5cuaJOuMPCwti4cSOmpqY0aNDgk/do27YtJ0+eZP369fFKRlauXAnEbvyTlPnz51O2bNl4Jcvm5ua8ePFC/fPz588/O5ueGqlKwpcvX86xY8fQ0dGhWrVq5MuXT/3pIS2oVCpKlSrFtWvX8PLyStB/+/379/j7+2NiYpJk55G4WvH379/j7u6e6Bhvb2+8vb2pWbNmgiT81q1bvH37Fmtr60+ukp0xYwYvX75kwoQJFCxYMNFnwKe/SskITdtURldPh1njt3F83w0iI6IZN6szurpp9/eW3lQqFV3HtqNEpaL80X0+dzwe8GON8UzaOZpytSw/f4M0FuAXyKntHgC0HfJtLchMTPvhrXD5ax/Xjt/m4ZXHlKpaItFxMTExHNkYm4Q3d2iUgREKIYTIjIYNG8axY8cYMGAAffr0IXfu3OzYsYOHDx/i5OSkXgcIsROoz58/p2rVqupe3q1bt2b79u3MmzePly9fUrFiRU6fPs3Bgwf5/vvvk9z58s6dO+zZs0e9/i+Ora0ty5Yt46+//gLgyJEjDBs2LM1fd6oysD179qCnp8fWrVsTbFyTVurXr8+1a9c4cuRIgiT8yJHYbh+f+mRkbW3N/fv3Ez3n4uLChAkTsLW1TXKHzLivRT71FQbEflVy9epVqlevnqDzy5s3bzhz5gza2trUqVPnk/fJCA2aV0BXV5s/Rv/NmSO3iRwRxcS53TRe0pFSNVpUZpHnDH7v8CdPb79gdKNJDF3UP9kLAtPK/lVHiYqMpox1qSQTzm9JvsKmNOpah6ObTrPDyZ0JG39KdNyNk3fwe+6PkYkhtdtWz+AohRBCZDZ58+Zly5YtzJ07l/Xr1xMZGUnp0qVZvnw5DRvGXze0detWXF1dmTFjhjoJV6lULF26lIULF7Jv3z5cXV0pVKgQEyZMSLC/y7/NmTOHBg0aJCgXHjhwIMHBwWzduhUtLS369esXb1v7NKOkQoUKFZQffvghNZcmm4+Pj1KpUiWlcuXKyuXLl9XHvby8lLp16yqWlpbK3bt31cd9fX2VR48eKb6+vp+9986dOxVLS0tl1KhRSY4ZN26cYmlpqRw4cOCT93J1dVUsLS2VatWqKbdv31YfDw4OVvr166dYWloqEydOTPTaJk2aKE2aNPlsvGnt4pkHim31SUqLihOVCT+sUUJDwjM8hrTwMShE+b3Tn4qNyk6xUdkpfw1ZqUSER2TIs6OiopTuRQYqNio75ZDziQx5Zlbw8MpjxUZlpzTX6aL4Pn+T6JhZvRcqNio7Zd4PyzI4OiGESBuaev8WX5dUrc4zNTUlMjJ9W+qYm5szceJEQkNDsbe3p0+fPgwcOJD27dvz5s0bRo0aRZkyZdTjnZycaNWqFU5OTmny/LgykritTJPSrl072rdvT3BwMJ07d6Znz54MHTqUpk2bcvr0aapVq8Yvv/ySJjGllep1SzF1sQPZDPS44uGF44/rCfkYrumwUswwuwG/bR9F76mxGwm4Lz3IWJspBPi+T/dnX9h7hTcv3pIjT3Yadqmd7s/LKkpWKU7lJhWIiY7B9a99Cc6Hfgzj9I7zANg4SFcUIYQQ365UJeHNmjXj6tWr6bJS9N86d+7MypUrqVatGteuXePy5cuUK1eOhQsX8sMPP6Trs9+9ewd8ujclxH4FMmvWLGbOnEnFihW5desWp0+fxtzcnHHjxuHs7PzJDi6aUqlmCf5Y3htDY31uXnrKxEHr+BicdDeazEqlUvH9xE5MdRuHYQ4Dbp25x5Dq47h/MX03SIpbkNmyb5NMvZOnJtiNtAVg36ojfAyK38f/rKsnYR/DKWBhRvk6pTURnhBCCJEpqBQl5Q2XP3z4wPfff09MTAyjRo3CysoKExOTJPtJfou9k5OjadPYGuajR49qLIYHt1/yy8B1fAgKpVS5Akxf1pscOTPfh4bkeHH/JZM6/MmLey/R1dfl52U/pMtOjC8f+dDbcjgqlQrnhwvJXyLxxcHfqpiYGAZUHMnzuy8ZOMdBnZQDjGs+hStHbuLwe5cUb3EvhBCZRWZ4/xZZX6qy4549exIWFsajR48YPHgwdevWpUKFCpQvXz7BnwoVKqR1zCINWZYvyOzVfTHJZcTDO68Y2281799+0HRYqVK4dEEWnv+D2m2rExkeyZ99FrP4pzVERabtVrN7lh0GoMZ3lSUBT4SWlpY68Xb5a6/69//G+y1Xj94CwKbnp9tNCSGEEF+7VCXhd+/e5dmzZyiK8tk/WW2Hxm9RidL5mb2mH7nzZufpQ1/G9F3NW78gTYeVKkY5DPndZYx6lnXXwv2MbzGN928C0+T+YSHhHFx7DIC2g6UtYVKafl+fnPlMePPiLaf+XwN+dOMpFEWhYoOy5C8uH16EEEJ821KVhN+7dy9Ff0TmV9QiH3+u6UdecxNePHnD6D6r8PN5r+mwUkVLSwuH37vwu8sYDIyzcf3EbX6sMZ5HV5988b1PbD1HcMBHzIvno3rLyl8e7FdKL5se7X6M3eRqx1w3FEWRbeqFEEKIf5FibaFWsKgpf67tj3nBXPi8eMfoPqt49eKtpsNKtbrta7Lw/B8ULJUfv+f+/FzvV45tPv1F94xbkNlmYHO0tbPOjqOaYDu4OfoGejy88oQdc915fvcletl0adBZuskIIYQQX5yEnz9/ngULFuDo6MjUqVNZsmQJly5dSovYhAaYF8zFn2v7U7CoKX6v3jOmzypePHmj6bBSrWi5wiy6MIOaraoQHhrBDPsFLB+9nuio6BTf6/7FRzy45IWuvi4t+zZOh2i/LiamOdQLY1eO2whA3Q41McqRNRf+CiGEEGkp1XuWe3t78/PPP3P79m0A4pqsxHVIKVu2LE5OThQrVuzLoxQZKq+5CX+u7ceEAWt55uXH2L6rmbGiD8VKZc06XuOcRkzZPY71k7ax+Q8Xdji58/jGUyZuGUGOPNmTfR+3/8+CN+xSGxPTT7euFLE6jmjDnuWH1f8+SCmKEEIIEStVM+GBgYE4ODhw69YtihQpwoABA5gyZQqTJk2iT58+FC5cmDt37tC/f3+Cg4PTOmaRAXKbZmf2mn5YlMlPwNsPjO23mod3Xmk6rFTT1tamz7TuOG4bSTYjfa4cucmPNcfz+MazZF0f9DaYE3+fBcBWFmQmW6FS+anTLnZr+tz5c1HVxkrDEQkhhBCZQ6qS8JUrV/Lq1Su6dOnCvn37GDlyJF26dKF79+6MHTuW/fv307lzZ7y9vVm3bl0ahywyikkuI2au6kvpCoUIeh/C+AFruHv9habD+iIN7Gqz4Nx08pcw4/UTP36qM5GT28599rqDa48TERZJqarFKWtdKgMi/Xr0mtyVwqUL4DCpM9o6UkcvhBBCQCqT8MOHD2Nubs5vv/2W6OI0bW1tJk2ahLm5OQcPHvziIIXmZM9hwB8relO+SlE+Bofxy8C13Lz05V1GNKl4xaIs8pxBteaVCAsJZ1q3eayesIno6MTrxGNiYnBfdgiInQVPalMqkbjiFYuy5u5ftP6hmaZDEUIIITKNVCXhPj4+VKpUCR2dpEvKdXR0qFSpEt7e3qkOTmQORsbZmL60F5VrliA0JIJfh6znyvn03RY+veXInZ3peyfQZUw7AP6etQtH25kEByTcqOjyoev4PPbFyMSQxt3rZXSoQgghRJZ2//59hg8fTq1atahQoQKNGzdm2rRpBAXF35Pk4cOHDBkyhNq1a1OlShV69erF5cuXk/2cgIAApk6dSuPGjbGysqJt27bs2LEjwbigoCCGDx9O5cqVadq0KevXr0/0fp07d8bR0TFlLzYFUpWEGxgYEBAQ8NlxAQEB6Ovrp+YRIpPJZqjH5EU9qVHPkvCwSCYN3ciFU/c1HdYX0dbWZsAse37Z/DP6BnpcPHCNoTXH8/R2/JKbuAWZLXo3Jpuh/P9ZCCGESK7Hjx/TrVs3PDw86Nq1K7/++ivW1tZs2rSJHj168PHjRwC8vLzo0aMHN27coGfPnvz888/4+PjQq1cvPD09P/uckJAQ+vbty9atW2nWrBm//PILuXLlYuLEiSxbtize2NmzZ3P69GmGDBlCw4YNmT59OgcOHIg3Zv/+/Tx8+JChQ4em3S/jv5RU6Nu3r1K+fHnlzp07SY65ffu2Uq5cOaVv376pecQ3oUmTJkqTJk00HUaKhIdHKpN/2qi0qDhRaV3lN+XMkduaDilNPLz6WPm+2GDFRmWn2Ga3V07tPK8oiqL4PPFVmml1VmxUdsrze94ajlIIIURmkBXfvzWlT58+Svny5ZVHjx7FO+7s7KxYWloqy5YtUxRFUfr166dUrFhRef78uXrM27dvlTp16iitWrX67HOWL1+uWFpaKm5ubupj0dHR6ue/evVKfaxixYrKrFmz1OM6deqk9OvXT/1zRESE0qxZM2Xu3Lmpe9HJlKqZcAcHB6Kioujfvz+7d+8mJCREfS4kJIRdu3YxYMAAYmJisLe3T7MPDELz9PR0+OXPbjRsWZGoqGimj/6b4/uuazqsL1aycnEWX5xJ5SYVCP0QxhS7Oaz77W/clx5CURSq2lSkcOmCmg5TCCGEyDLCw8O5ePEi1atXx8LCIt659u3bA+Dp6Ym/vz+nT5+madOmFC5cWD0md+7c2NnZ8ejRI65f/3SusWvXLvLmzUubNm3Ux7S0tOjXrx+RkZG4u7sD8O7dO8LDwylatKh6XNGiRXn16p8OcNu2bSMwMJABAwak+rUnR6r6hDds2JCBAweyfPlyxo8fzy+//IKJiQkQ274wJiYGRVHo168fjRvLpiZfGx1dbcbO6Iyung5H3K4ye8IOIiOjad6uqqZD+yImpjmYeeBXVo7dwM75e9k0baf6XNshLTUYmRBCCJH16Orqsm/fPmJiYhKc8/f3B2JLQ+MS7EqVKiUYZ2UV29r2+vXriZ4HCA4O5vHjxzRp0iRB84S4a27cuAFAzpw50dbWJjAwUD0mICCAPHnyAPDx40cWL17M4MGDyZ49+XuJpEaqd8wcMWIES5YsoUaNGmhpafHu3TvevXuHlpYW1atXZ9GiRYwZMyYtYxWZiLa2FiOndKBV5xooioKTowt7t32+Ziuz09bRZpBTb8Y6D0Uvmy4AeQvloVabahqOLGsLDQnXdAhCCCEymJaWFoULF4436xxn5cqVAFhbW/P69WsA8ufPn2Ccubk5wCcbffj6+qIoSqLXGxsbY2RkpL5eR0cHa2trduzYwb179zh58iSenp7Ur18fgNWrV5MtWzZ69OiRwlebcqneMROgSZMmNGnShOjoaN6/f4+iKOTMmfOTXVPE10NLS4thv7ZFT0+HXZs8WDjNjYjwKDr0rKPp0L5Ys54NKVquEJv/cKH1D82kv/UX2LP1Aktn7aV6XUsmzOpCNkM9TYckhBCZgqIohEZEaTqMJBno6aRLW14XFxdcXFzInz8/Xbt2ZdOmTQAYGhomGJstWzYAQkNDk7xf3MaQiV0PsQ1F/n39r7/+yqBBg2jXLrZDmo2NDb179+bNmzesXbuWSZMmoaeX/u9VaZIta2trq6fxxbdFpVIxcGwr9LLpsm31KZb/uY/w8Ei69c/625NbVrPg953ybc6X2L/zEoumx9bhXTh5jwkD1zJlUU+ymyT+D6UQQnwrFEXBYdFWrj310XQoSapSrADOQ7ukaSK+Y8cOfvvtNwwNDVmwYAHGxsYoivLZ6z4Vw+euVxQl3vUWFhbs27ePhw8fYmxsTJEiRQBYuHAhRYoUoW3btnz8+JHp06dz+vRpjI2Nsbe35/vvv0/mq0yeZCXhY8eORaVSMWbMGExNTRk7dmyyH6BSqZg1a1aqAxSZn0qlos/wZujr67BhyTHWLThMZHgU9kMS1maJb8cR96ssmLIbgEbfWXHpzAPuXn/BqN6rmL60F3nNTTQcoRBCaJaKb+s9csGCBSxevBhjY2OWL1+urvc2MjICICwsLME1cTPYOXLkSPK+cdcnNVseGhpKoUKF4h3T1dWlXLly6p8fP37Mzp07Wbp0KVpaWkybNo1z584xe/ZsfHx8mDhxIiYmJvEWfn6pZCXhbm5uqFQqBg0ahKmpKW5ubsl+gCTh3waVSsX3g5qgp6fL6vkH2bT8OOHhkfQbITtMfotOHriJk6MLiqLQpqs1P/7ShmeP/Jg4eB3PvfwY1WsF05f1pnDxvJoOVQghNEKlUuE8tMs3UY4SGRnJr7/+yq5du8iXLx8rV66kTJky6vNxCXJcbfi/fapePE7BggVRqVT4+vomOBccHExISIi6tjwpTk5OVKtWjQYNGhAdHY27uzuDBw+mdu3aQGwu7OrqmvFJ+IwZMwDImzdvvJ+F+K/Ofeujq6/Dsll72bHuDBERUQwa2wotrVSvARZZzNmjd5g1YTsxMQotO1ZjyITWqFQqipUyw2n9D/wy0JmXz/wZ1WslUxc7ULpioc/fVAghvkIqlQpDfV1Nh5GuoqOjGTlyJIcOHcLS0pIVK1YkSKgrVqyIlpaWuoPJv8Udq1KlSpLPMDY2xsLCgps3byY4F9d5pWrVpDu4Xb16lSNHjrB9+3YgtltKZGQkpqam6jG5c+fm3r17n3ilKZesJLxDhw6f/FmIf2v/fW309HVYONUNt83niQyPYphjW0nEvwGep+8zY8xWYqJjaNqmMsMc28X7ezcrkIu5zgP4beh6Htx6ybj+a3Cc151qdUppMGohhBDpZf78+Rw6dAgrKytWr16daFmJqakpderU4dChQwwfPlzdK/zdu3fs3LmTMmXKxCsdSUzbtm1xcnJiz5496tnqmJgY1qxZg56eHq1bt07y2tmzZ9OyZUsqVqwIxCbcenp6vHjxzw7az58//+xsekqlamHmhAkTqFq1Kp07d/7kuOXLl3P+/HnWrl2bquBE1tXKrgZ6ejo4/ebC/p2XiAiPYuSUDtJl5Ct2xeMRU0dsISoqmgYtKsT+fWsn/OCVM7cRs1b1ZeqIzVzx8GLS0I2Mnt6JRt9ZaSBqIYQQ6eXFixesWbMGlUpFs2bNOH78eIIxefLkoV69eowbN46uXbvSvXt3evfujZ6eHps2bSIoKIi//vor3jVnz57F39+funXrqmere/XqhZubG+PHj+f27dsUL16cffv24eHhwdixY9XVHP915MgRbt68ycyZM9XHtLS0aN26NZs2bcLExARfX19u3rzJnDlz0vC3k8ok3NXVlejo6M8m4VevXuXy5cupCkxkfTZtq6Crp8OsCds5uucaERFRjJvRGR1dScS/NjcuPWHyT5uIjIiiTpOyjP2j8yc/cBkY6jN5UU/mTNzJyQM3mTV+O4EBH2nXo3YGRi2EECI9nT59mqio2Jr3uXPnJjqmatWq1KtXD0tLSzZv3oyTkxNLlixBS0uLChUqMGvWLCpXrhzvmmXLluHp6cn69evVSXi2bNnYsGEDTk5O7N69m48fP1K8eHFmzZql3p3zv6Kjo3FycqJz584JeplPnDgRRVFYuXIlxsbGTJgwAVtb2y/7hfyHSklGX5hp06YRFBSk/tnNzY3ChQt/sj4nODiYkydPkjdvXk6ePJk20X5lmjZtCsDRo0c1HEn6OnfsDn+M3kpUVDS1GpXhlznd0NOTXvJfizvXnvPLwHWEhUZQo74ljvN6JPvvNyYmhmWz9uG25TwAPQY2oueQprKYVwiRqX0r798ifSXrnbJ48eJMnTpV/bNKpeLFixfxamWS0rNnz9RHJ74KdZqU4/cF3zNlxGbOn7jH5OGbcJzXnWwGsmlLVnf/lje/DnEmLDSCKrUscHTqnqIPWFpaWgwe3xqT3EZsWHyUzctPEPD2A0Mntk20lEUIIYT4WiRrJjwmJgY3NzcURUFRFH755ReqVKlCly5dEr+pSoWenh7FihX7bCH9t+xb+yR97YIXk4ZtJDwsEqsaxZm80B4DQ31NhyVSyeueD+P6r+FDUCgVqxVj6hKHL/pgtXebJ4umu6MoCnWblmPczM7ofeVdA4QQWdO39v4t0keykvD/6tmzJ/Xq1WPgwIHpEdM341v8j/j21Wc4DllPyMdwylUuwtTFDhhlz6bpsEQKPX3oy7j+qwkMCKFspcJMX9YbQ6Mv/0B1+tAtZk/YTmRkNFY1ijPpr+8xMpb/fwghMpdv8f1bpL1Ufd+7YcMGScBFqpSvUpQZK/pgnD0bd649x3HoesLDIjUdlkiBF0/eMOGHtQQGhFCqfEGmLemVJgk4QP3mFZi6xAFDI31uXHzC2L6rCXj7IU3uLYQQQmQmqZoJj+Pr68vLly+JiIjg37dRFIXw8HD8/f05duwYS5cuTZNgvzbf8idpr3s+jOu3mg/BYdRuXJZf53aT9oVZwKsXbxnTZxVv/YIpUdqcWav6kt3EMM2f8/DOK34d7ExgwEfyF87NH8t7k79Q7jR/jhBCpMa3/P4t0k6qkvCIiAhGjx7N4cOHkzX+7t27KQ7sW/Ct/0d86/JTJgxcR2REFK0612DYr22lK0Ym5vsqgDF9VuHnE0hRi3zMWt2PnLmN0u15L5/588vAdfi+ek8uU2OmL+1FidJJb1sshBAZ5Vt//xZpI1XlKGvWrOHQoUNoa2tTpkwZ9faj1atXx9LSEm1tbRRFoXjx4ixYsCBNAxZfjwrVijFuZmdUKhX7tl9k84oTmg5JJOHN60DG91+Dn08gBYuaMmNln3RNwAEKFjXFacNAiluaE+D/gdF9VnHz0pN0faYQQgiRUVKVhB84cAAtLS2cnZ1xdXVlxIgRADg6OrJ7926OHj1KxYoVef78uTpBTy1PT0/69u1L7dq1qVKlCt26dWPfvn1fdE93d3dKly7N6NGj4x339vamdOnSyfrj7e0d79q7d+/y448/Uq9ePSpVqkT79u3ZsmULX1Dt802oZ1OeH3+J3V52w+Kj7N95ScMRif965x/M+AFr8fEOIH+hXMxa1Zfcptkz5Nl58mbnzzX9qFC1KCEfwvllkDMex+WbNSGEEFlfqpLw58+fY2VlRbVq1QCwsrJCURSuXLkCgJmZmXqL0TVr1qQ6ODc3NxwcHPD09KRcuXLUqFGD27dvM2LEiFTPsPv4+DBlypREzxkaGmJra5vkH0tLSwAKFChArly51NedP3+eLl26cOzYMYoXL07dunV5/vw5v//+OxMmTEhVnN+SNl2t6TagIQALp+7m/Il7Go5IxHn/7iPjB6zl5TN/8uU3Yeaqvpia5cjQGIxzGDB9WW9qNSpDZEQUU0ds5qCr7MQrhBAia0vVtoWRkZGYm5urfy5cuDA6Ojo8ePBAfaxAgQJUqVIl1dvW+/v74+joiIGBARs3bqR8+fIAeHl54eDgwJIlS2jatKn6eHIoisK4cePi7f75b7lz52bOnDmJnnvz5g3t2rVDT0+PJUuWYGQU+1V8XH18dHQ0y5Yto2HD2GTSz8+PXr164erqStOmTWnWrFlKXv43p9dQG975B3PI9Qozxm5lxso+lKtURNNhfdOCA0P4ZeBannv5YZovBzNX9cWsQK7PX5gO9LPp4ujUnb+m7uaQ6xXmTXLl/bsPdOnbQNYRCCGEyJJSNROeO3duAgIC/rmJlhYFChTg4cOHCca9e/cuVYFt2rSJsLAw7O3t4yXaFhYWjBw5EkVRcHZ2TtE9165dy4ULF6hRo0aK4xk/fjxv375l1KhRlC1bVn3czc2NN2/e0LJlS3UCDpAvXz4mTZoEwLp161L8vG+NSqVi+K/tqFHfkvCwSCYN3cCLJ280HdY362NwGL8Mcubx/dfkymPMjJV9KFA4j0Zj0tbRZsTvHejSrwEAa/86zIo5+4mJidFoXEIIIURqpCoJr1SpEleuXOHZs2fqYyVLluTWrVt8+PBPT9+HDx9iYmKSqsBOnjwJgI2NTYJzNjY2qFQqTpw4kez73b9/n3nz5tG4cWM6duyYolgOHDjAmTNnqFChAg4ODsmOs2bNmpiYmHD58uUkZ9/FP3R0tZn4ZzdKVyhEcGAoEwc789ZPfm8ZLeRjOL8Ocebh7ZeY5DJkxso+FC6eV9NhAbEf1vr+1JwfxnwHgOuGc8z5dSdRkdEajkwIIYRImVQl4d27dycyMpIuXbqwYcMGAFq3bk1oaCg//fQTx44dw9HRkSdPnqRq23pFUXj06BEApUqVSnDexMQEU1NTAgMD8fX1/ez94kpGjIyMmDZtWopiiYiIYPbs2QBMnDgRLa34v7K42f/E4tTS0qJEiRIoipLgW4L09Mr3PT2GrWHbnqxXN5vNUI8pi3tSsKgpfq/e8+uQ9XwMDtN0WN+MsNAIJg3dwN3rLzDOYcCMFX0oVtJM02El0LFnXcb8YYe2jhbH9lxn8k+bCAuJ0HRYQgghRLKlKgmvXbs248aNIyQkhGvXrgHw3XffUbFiRc6ePcuPP/7I9u3b0dbWZvjw4Sm+f2BgIOHh4RgZGWFomPhGIPny5QNia8c/x8nJiQcPHjB58mRMTU1TFMvOnTt5+fIl9erVo2rVqgnO+/n5AZA3b+IzhXHH3759m6Lnfol3gSE8f/WOlVvOEBQcmmHPTSsmuYyYvtSBXKbGPHnwmik/byIiIkrTYX31IsIjmfzTJm5efoqhsT7Tl2XuvtxN21Tm97/s0c+my8UzDxj/w1qC3odoOiwhhBBJiI6OpkePHpQuXZqoqPjv669evWLs2LHqLnNdunRJUR/20NBQ/vrrL5o1a4aVlRUtWrRg9erVREfH/6Y0IiICR0dHqlatSoMGDZg/f36CWAB++ukn+vbtm7oXmkypSsIB+vTpw7Fjx+jfv3/sjbS0WL9+PUOHDqVu3bq0bduWzZs3U6FChRTfOzQ0NnE0MDBIcoy+fuw22SEhn37T9fDwYN26dbRt25YWLVqkKA5FUVi/fj0AgwYNSlWsyY0zLZUvlZ9SxfMRGhaJy4FrGfbctGReKDdTF8duX3794hPmTNwhtb/pKCIiiqkjt3D1vBfZDPSYtqQXpSsU0nRYn1WjviUzVvbBOIcB9268YHTvlbx5/V7TYQkhhEjEsmXLEm3Y8ebNG+zt7Tly5AidOnVi3LhxREVFMWTIENzd3T9735iYGIYPH87SpUupWbMmEydOpHTp0syePZvff/893tjVq1fj4uKCg4MDHTp0YMWKFQnWGN64cYNDhw4laGWd1lKdhEPsLO+/FykaGBgwdOhQVq1axezZs7GyskpdUP8v+UhO14NPJWZBQUFMmDABMzMzHB0dUxzH2bNnefz4MZUqVUpyMae2tnayYs3IBFKlUvF9+5oA7Nh3hbDwyAx7dloqWbYAjvN6oKOjzamDt1jx537pu54OoiKjmTl2KxdPP0A/my5TFvekXOWs05mmXKUizFnXH9N8OXj++A0jHVbKol4hhMhkbty4wZIlS9DT00twbtGiRbx8+ZKVK1cyYsQIevTowebNm7G0tGT69Omfncg8cOAAp06d4ueff2b69Ol07dqVBQsWYGdnx7Zt27h+/bp67K5du7CxseHnn39mxIgRNGvWjB07dsS7359//kmrVq1SVVKdEl+UhKeXuPZ/YWFJ1wKHh4cDJFmuAjB58mRev37NjBkzyJEj5b2N9+/fD0D79u2THBP3/KRiTU6c6aFRbUvy5zPhfVAoe4/ezNBnp6UqtSwYNS12Ie2uTR7sWHdGwxF9XaKjopn9y3bOHbuLrp4OkxZ8j1X14poOK8WKlTTDacMPFCpmypvXgYzqtZJ7N15oOiwhhBDAx48fGT16NPXr16dy5crxzkVHR+Pm5kalSpXU+88AZMuWjZ49exIQEPDZRhyurq7o6upib28f7/iAAQMAcHFxUR/z8fGhaNGi6p+LFi3Kq1ev1D+fOHGCq1ev8vPPP6fwVaZcsvqEN23aNNUPUKlUHDlyJEXXGBkZYWRkRHBwMGFhYWTLli3BmLha7Lja8P+6efMme/bsIWfOnLi4uMT7C4jb7fLq1auMHj0aCwsLBg8eHO/6mJgYjh8/jo6ODi1btkwyVjMzMwIDA3nz5k2iif6bN7EzcknVjKcXHW0turerjtPKo/ztfol2LSqjo50pP3N9VuNWlXjn/4GVc/azet5BcpkaY2NbRdNhZXnR0THM/c2FUwdvoaOjjeO87lStVVLTYaVavvw5mes8gN9+3MD9W96M678Gx3k9qF434aJpIYQQGWf69OkEBwczbdo09S7rcR4+fEhISAiVKlVKcF1cRcX169dp1apVkve/ceMGFhYWGBsbxzterFgxTExMuHHjhvpYXGOPOAEBAeTJE9uCNyYmhrlz59KtWzcKFy6c8heaQslKwl++fJmsm2lraycogE8NlUpFqVKluHbtGl5eXgk25Hn//j3+/v6YmJhgZpZ454a4ry7ev3+fZD2Rt7c33t7e1KxZM0ESfuvWLd6+fYu1tTW5c+dOMtZSpUrx4MEDvLy8sLCwiHcuJiaGx48fq19PRmvduAJrtp7Dxy+IY+fu07x+2c9flEl1cqjLO78gdq4/y7xJruTKY0y1OpJcpVZMTAwLpuzm2J7raOto8cucrtSsX1rTYX0xk1xGzFzVh6kjt3Dl3CMmDdvA6GmdaNwq4T/uQgihaYqiEJrIosDMwkBH54s3RDt06BA7d+5k8eLFiTbHiOtylz9/wkYAcRtDxk2eJiY0NJT3799TpUrik3NmZmbxrq9Tpw4HDhygXbt26vjiJltdXV15+fIlQ4YMSear+zLJSsIPHToU7+ewsDBGjhyJn58fQ4YMoWnTphQqVAiVSsXbt285fvw48+fPp3DhwqxcuTJVgdWvX59r165x5MiRBEn4kSNHUBSFBg0aJHm9tbU19+/fT/Sci4sLEyZMwNbWNskdMuM+NSX1lxqnQYMG7N27lyNHjtC8efN45y5cuEBgYCBVq1ZNVTnMl9LX16Vz62qs3HKGTa6eNKtXJkvvLthvZAve+QdzfN8Npo7Ywp9r+1GqXEFNh5XlKIrCkhl7Oeh6GS0tFeNmdKZOk/Ste8tIBob6TF5oz5yJOzl54Cazxm8nMCCE9t/X1nRoQgihpigKXXb8zWWfV58frCHV8hdgm123VOcOvr6+ODo6Ymdnl+h+KgDBwcFA4mW7cU0v4ppgpPT6uHv8+/qffvqJO3fu0L17dwCqVq3Kzz//THh4OAsWLKBfv36fnHxNS8mqTyhSpEi8P+7u7jx9+pR169bRu3dvChcurP4LypMnD3Z2djg7O3P79u0kk9zPsbOzw8DAgHXr1nHlyhX18cePHzN//nwAdWcWiC1P8fLyUpepfKlbt24BfLYov1mzZuTLl489e/bE+7Dy5s0bpk6dmiDOjNahZWUMsuni9ewN568+0VgcaUFLS4uRUztSpZYFYaEROA5Zz6sXGdf68WugKAor5uxnz9YLqFQqRk3rRIMWFTUdVprT1dVh3MzOtO1RC4Bls/aybuFhWdgrhBAZRFEUxo0bR/bs2fnll18+Oe5z5z71IeBz/64rihLv+rx587J9+3bc3d3Zt28fmzdvJleuXDg7OxMdHU2fPn2IjIxk1qxZNG7cGBsbGxYtWpRoG8MvlayZ8P9yc3PD2tr6kwmqhYUFtWrV4vDhwwnawySHubk5EydOxNHREXt7e6ytrdHT08PDw4Pw8HBGjRpFmTJl1OOdnJxwdXWlQ4cOzJw5MzUvK564ry7i6oSSYmRkxPTp0xkyZAjDhw+natWq5MqVi/Pnz/Phwwe6du36RTX1XyqHcTbaNrNiq/tlNu3ypHbVEhqLJS3o6urwq1N3xvZdjdc9HyYOcmbe+h/Imcf48xd/4xRFYd2Cw7huOAfAT5Pa0bRNZc0GlY60tLQYPK41uXIb47zoCH+vPEngu48M/bUt2ll0fYQQ4uuhUqnYZtftqy1HWbt2LefPn2fx4sWEh4erG1VERsZ2bHv//j26urqfbMYRN4P9qWqCuOuTmi0PCwtLcL22tjaWlpbqnwMCAlixYgWjRo3C0NCQRYsWsW3bNmbPno2iKIwdOxZdXV0GDhyY3JefLKlKwoOCghJdLJmYT3U4+ZzOnTtjbm7OihUruHbtGtra2pQrV46+ffsmKP1Ia+/evQM+/Rcfp0GDBmzevJnFixdz5coVoqKiKF68ON27d6dTp07pGmdydLWtzs79V7l225vbD3wob5l5N2BJDiPjbExd4sDInivwefEOx6EbmL26LwaG+poOLVPbvPw4W1efAuDHX2xp2bG6hiNKfyqViu4/NMIktxGLprmxf+clAt+HMH5mZ/T0dTUdnhDiG6dSqTDU/Tr/LTp+/DiKoiRZX123bl0KFizIsmXLAHj9+nWCMXH14nG14YkxNjYmV65cSe6g/vr1a4oU+XTb3WXLlpEnTx46d+4MxLYxbNGihXoS9bvvvsPFxSVzJOHFihXj/Pnz+Pn5JdmdxMvLi/Pnzyeo506p+vXrU79+/c+OmzlzZrJnwDt27EjHjh0/OWbfvn3JulccKysrli9fnqJrMkq+PNlp3qAc+47dYtMuT/4Y207TIX2x3KbZmba0F6N6reDh7ZdMG/k3kxfao6OrrenQMqVta06xYckxAH4Y8x223aw1HFHGamVXgxw5DZk1bhvnjt5h4mBnfv/LHqPsyZtMEEIIkTLjxo0jKCgowfGZM2dy//59Vq9ejYGBASVKlCB79uzxOpjEievvndiO5f9mZWWFh4cHoaGh8TZPfPLkCUFBQZ9c3+ft7c3mzZuZM2cOOjqxabGfn1+8RaS5c+dO9EPCl0rVd7Jdu3bl48eP9OzZkxMnThAREaE+Fxoayp49e+jduzeRkZH07t07rWIVX6BHu9jNhk57PuSZ99dRR12omClTFjmgn02Xy+ceMv93V6n5TYTrhnOsmR+7XqHPT83o2LOuhiPSjHo25Zm2tBeGRvrcvPSUsf1W884/WNNhCSHEV6lChQrUqVMnwR8TExMAatWqRbVq1dDR0aFVq1ZcuXIl3hrAsLAwNm7ciKmp6ScbcQC0bduWiIgI9S7nceKag3xq4nX+/PmULVs23q7q5ubmvHjxz14Tz58//+RsfGqlaia8W7duXLlyBTc3NwYPHoy2trb6l/r+/XtiYmJQFIWBAwemeKt4kT6KFcpD/RolOX3xEZt3X2TCj0n3Ps9KSlcsxMS53fh9+CaOuF8jd74c9P0pfUuVspI9Wy+w/M/Yb3W+H9SYrv0aajgizapUswSz1/Tj18HOeN3zYZTDCqYv702Bwp9e+yGEECL9DBs2jGPHjjFgwAD69OlD7ty52bFjBw8fPsTJyQl9/X/KTa9evcrz58+pWrWqupd369at2b59O/PmzePly5dUrFiR06dPc/DgQb7//vsk1zDeuXOHPXv2JEjebW1tWbZsGX/99RcQ25Vv2LBhaf66VcoXTB0ePHiQLVu2cPnyZXWhvb6+PrVq1aJXr17UqVMnzQL9GsXVGh09ejRDnnfr/isG/bIZHR0tti8ZQN482TPkuRnh0O4rODnGbsg0eHxr2vWQdnQHXS8zb5IrAF36NaDP8GZZukVlWnr1/C0TB63DxzuAXHmMmba0FxZlsvZaCSFExsno9++vSc+ePfH09OT27dvq8g+AFy9eMHfuXM6dO0dkZCSlS5dm8ODBNGwYf/Jo/PjxuLq6MmPGjHgz3CEhISxcuJB9+/bx7t07ChUqRNeuXXFwcEBLK/HCj759+6Kjo8OKFSviHY+IiGDOnDns2bMHLS0tOnbsyLBhw9BN4/r9L0rC4yiKQkBAACqVily5cqVFXN8ETfxHPNTxb67d8aZ72+r82KtRhj03I/y98gTrFh5BpVIx4c+uNGheQdMhacyxvdf485edKIpCB/s6/DDmO0nA/+Ptm2Achzjz+P5rDI31+X2BPVbVi2s6LCFEFiBJuEgLadKnS6VSkTt3bknAs4Dv29cEYNeh6wR9SH3nmsyoa/+G2HazRlEU/pywnesXH2s6JI04degWcybGJuBtutSUBDwJefJm5881/alYrRghH8KZOMiZ657f5v9nhBBCZLxk1YSPHTsWlUrFmDFjMDU1ZezYscl+gEqlYtasWakOUKStWlWLY1HEFK/n/uw6eA2HTrU0HVKaUalUDBrXmgD/D5w5cpvJP21izroBlLBM+8UUmZXH8bvMGr+NmBiF5h2qMuSXNpKAf4JR9mxMX9aLmeO2ce7YXc4eu0Olmlm7l74QQoisIVnlKGXKxG53vm/fPooXLx5vk5zPPkCl4u7du18U5NdKU19nHTx5h6kL9pHLxJAdSweg/5X1S44Ij2TiIGduXn5KnnzZmbdhIPny59R0WOnu4ukHTP5pE1FR0TRpU4lRUzvJpjTJFB0dw81LT7CsUAhDI+k3L4T4NClHEWkhWTPhM2bMAGK3+vz3zyJralq3NCs2n8bXP5j9J27TvkVlTYeUpvT0dZn01/eM7r2Kp498mTjImbnOA8iR01DToaWbq+e9mDJiM1FR0dRvXoFRUzpKAp4C2tpaVLa20HQYQgghviFpsjBTpI4mP0nv2HeF+auPUcDMhM0L+6HzFSZsb14HMqLncvx9gyhbqTAzVvQhm4GepsNKczcvPeHXIesJD4ukduOyTJzTTTYtEkKIdCQz4SItfH2Zl0iW1k0qYJLdgFe+gZw8/0DT4aSLvOYmTF/WG+McBty9/oKZ47YRHRWt6bDSzPPHfqyZf5Dfhm4gPCySGvUsmfBnV0nAhRBCiCwgWeUocc3KU0OlUjF8+PBUXy/Sh0E2PTq1qsKarefY5OpJkzqlv8oFfEUt8vH7gu/5ZeA6zp+4x6I/3Bnu2C7LvtbgoFBOHbjJ4d1XuHfTW328Si0LfnXqjp5eqvbfEkIIIUQGS9Y79tKlS1GpVCnaEjxuvCThmVen76qweZcnD574cenGM2pUKqbpkNJFharFGD+rC9NGbmH/jkvkyZsD+8FNNB1WskVHx3DV4xGH3a5y7thdIiOiANDS1qJGPUuatatC7UZl0NaRGXAhhBAiq0hWEj506ND0jkNogEl2A2xtrNi+9wobXT2/2iQcoE6Tcvz4iy0Lp7mxcekx8uTNznd2NTQd1ic9f+zH4d1XObrnGu/eBKuPFytlRvP2VWncqhK58hhrMEIhhBBCpJYk4d+4rrbVcTlwjcs3n3Pv0WvKlPx6e2q37lKTt2+C2Lz8BAunuZEzjzG1G5fVdFjxBAeFcnL/DQ7vvsr9W/+Um+TIaUjjVpVo1q4KFmXyZ9lyGiGEEELESvcC0ujoaLS15WvyzMo8bw5s6pXh4Mk7bNzlybTRbTUdUrrqOaQpb/2COeh6mRljtzJzZV/KVS6i0Ziio6K54uHFYbcreBy/F6/cpGZ9S5q1q0rNBpbo6kq9txBCCPG1SPW7ekhICMeOHcPb25uIiIh49eIxMTFERETw5s0bzp49i4eHR5oEK9LH9+1rcPDkHU6ef8CLVwEULpBL0yGlG5VKxXDHtrx/+4ELp+4zadgG5joPoEiJfBkeyzMvP464SbmJEEII8S1KVRLu5+dHt27d8PHxiXc8biFmUj+LzKlEkbzUqVaCc5cfs8XtImMHNdd0SOlKW0ebCX92ZfyAtdy78YJfBzszb8NA8uTLke7PlnITIYQQQkAqk/Bly5bx6tUrChQoQLNmzbh37x4XL17khx9+ICQkhPPnz/Pw4UNKlSrFhg0b0jpmkQ6+71CTc5cfs//4bfp2rYNprq97BjabgR6TF9oz0mElL5/5M3GwM3PW9sc4h0GaPyteucmxu0RGxvYq19aJ624i5SZCCCG+Pt7e3uqNjZJSsGBBjh07BsDDhw+ZN28eV69eJSwsDCsrK4YPH061atWS9byAgAAWLVrEsWPHePv2LcWKFcPBwQE7O7t444KCgvj11185deoUefLkoVevXjg4OCS4X+fOnSlTpgxTp05N5itOmVS9658+fRoDAwO2b99Onjx5OHHiBJ6entSvX5/q1asTExPDr7/+iqurK+fPn6dly5ZpHbdIY5XKFqJi6QLcvP+K7XuuMLhnA02HlO5MchkxfVkvRvRcztOHvkwZsZlpS3ulWa/tpMpNilua07xdVRq3siKnlJsIIYT4SuXOnZvZs2cnes7d3Z3Tp0/TvHnst+9eXl706NEDfX19evbsiZGREZs2baJXr16sWbOGmjVrfvJZISEh9O3bl4cPH9KjRw9KlCjB/v37mThxIv7+/gwaNEg9dvbs2Zw+fZohQ4bw+vVrpk+fTr58+eLlq/v37+fhw4csWrQoDX4TiUvVtvWVKlWiatWqrF27FgBfX18aNmzImDFj6NevHwBhYWHUr1+f8uXLs27dujQN+muR2ba9PXPxEeNn7sLIUI+dywZibKSv6ZAyhNc9H8b0WUXIx3DqN6/AhNld0NJK3WaySZWbmOSKKzepikWZ/GkVuhBCCA3IbO/fWc29e/fo3LkzVlZWODs7o6OjQ//+/fH09GTv3r0ULlwYgHfv3mFra0vOnDnZu3fvJ++5YsUK5s6dy5w5c7C1tQVi1yjG3ffw4cPkz5+fmJgYKleujL29PWPHjgXAzs6OnDlzsmrVKgAiIyNp3bo1LVu2ZOTIken2e0hVpqGlpYWJiYn6ZzMzM7Jly8ajR4/Ux7Jly0aVKlW4d+/el0cpMkSdahYUK5SHjyER7D58XdPhZBiLMvn5bX4PdHS0OX3oFstn70/RxlTRUdF4nr7P9NF/06PxTBZNd+f+LW+0dbSo3bgsv83vwcYjYxk0rrUk4EIIIb5pMTExTJgwAYA//vgDHR0d/P39OX36NE2bNlUn4BA7k25nZ8ejR4+4fv3TecmuXbvImzcvbdq0UR/T0tKiX79+REZG4u7uDsQm9uHh4RQtWlQ9rmjRorx69Ur987Zt2wgMDGTAgAFp8pqTkqrv3fPly4e3t3e8Y0WKFOH+/fvxjunp6fHx48fURycylJaWiu/b12D6ogNsc7+MXauq6H8j26BXtrZgzB92zBi7ld2bPTDNl4POfet/8ppnXn4c3n2Fo3uuEeD/QX1cyk2EEEKIxLm4uHDnzh0GDx6sToTjEuxKlSolGG9lZaUek9h5gODgYB4/fkyTJk0SNDaIu+bGjRsA5MyZE21tbQIDA9VjAgICyJMnDwAfP35k8eLFDB48mOzZs3/JS/2sVGVY1tbWbN++nUOHDqlrecqVK4e7uzuPHz+mRIkShIWFce3aNczMzNI0YJG+bOqVZeWWs/i9DebgyTu0bWal6ZAyTMOWFXn3Jpjlf+5j9fyD5DI1xqZtlXhjggNDOLH/JofdrvDg1kv1cSk3EUIIkVKKohAaHanpMJJkoK2bpt26IiMjWbhwITlz5ow3y/z69WsA8udP+P5pbh67ieB/J3//zdfXF0VREr3e2NgYIyMj9fU6OjpYW1uzY8cOGjRogK+vL56engwfPhyA1atXky1bNnr06JH6F5pMqUrC+/bti5ubGz/99BN2dnZMnTqVLl26sGvXLvr370/z5s3x8PDg7du3dOrUKa1jFulIV1ebrrbVWLjuBJt3X6R1kwpoa6euPjor6tCzDm/fBLFj3Rnm/e5KztxGVKllwWWPRxzefZXzx+N3N6lZvzTN2lWhRn3pbiKEECL5FEXh+1NrufruhaZDSVLV3IXZ2KBPmiXiBw4c4PXr1wwbNgwjIyP18Q8fYr9NNjQ0THBNtmzZAAgNDU3yvsHBwUleD2BgYBDv+l9//ZVBgwbRrl07AGxsbOjduzdv3rxh7dq1TJo0CT09vRS+upRLVdZQrFgxVq1axeTJk4mOjk1IqlatSvfu3dmyZYt6Iaa5ubn6k4XIOmxtrFi34zzePgGc9nxEo9qWmg4pQ/X9uTlv3wRzfO91po36GwMjvXjlJiVKm9OsrZSbCCGE+DLf2o4QmzZtQl9fH3t7+3jHk7MO61MfBD53/X/3rbGwsGDfvn08fPgQY2NjihSJ3Tl74cKFFClShLZt2/Lx40emT5/O6dOnMTY2xt7enu+///6zcaZEqqfuqlevjru7OyEhIepjkyZNolWrVly9epXcuXPTsmVLjI0lSclqDA306NSyMut2nGej6wUa1ir1TW0eo6WlxcgpHQh894ErHl6EhUZgksuQJq0rY9O2ipSbCCGE+GIqlYqNDfp8M+Uovr6+XLt2DRsbG3LmzBnvXNyseFhYWILr4mawc+RIekO9uOuTmi0PDQ2lUKFC8Y7p6upSrlw59c+PHz9m586dLF26FC0tLaZNm8a5c+eYPXs2Pj4+TJw4ERMTk3gLP79UqpLwEydOUL9+fbS1tRNM/deoUYMaNWqkSXBCczq1qsoWt0vc8/Llyq0XVKtYRNMhZShdXR0c5/Vgz9+eFCyWR8pNhBBCpDmVSoWhTvqXPWQGR44cQVEUWrVqleBcXIIcVxv+b5+qF49TsGBBVCoVvr6+Cc4FBwcTEhKiri1PipOTE9WqVaNBgwZER0fj7u7O4MGDqV27NgBubm64urqmaRKeqmLfQYMG0aBBA6ZPn87NmzfTLBiReeQyMaR1kwoAbHL11HA0mmFgqE/nvvWp06ScJOBCCCHEF/D09ESlUlG/fsLOYxUrVkRLS0vdweTf4o5VqVIlwbk4xsbGWFhYJJqTxnVeqVq1apLXX716lSNHjjBmzBggtltKZGQkpqam6jG5c+fGx8cnyXukRqqS8MaNGxMUFMSGDRvo0qULrVq1Yvny5fF6LIqsr1vb6mhrqfC8/pQHjxN+uhRCCCGESI5bt25RrFixRNv+mZqaUqdOHQ4dOsSLF/8sVH337h07d+6kTJky8UpHEtO2bVt8fHzYs2eP+lhMTAxr1qxBT0+P1q1bJ3nt7NmzadmyJRUrVgRiE249Pb14sTx//vyzs+kplarpvaVLlxIUFMTBgwdxd3fn0qVLzJs3j7/++otq1arRrl07qQf/ChQwy0njOqU5cuYem3Z5MnmkraZDEkIIIUQWExERgbe3N/Xq1UtyzLhx4+jatSvdu3end+/e6OnpsWnTJoKCgvjrr7/ijT179iz+/v7UrVtXPVvdq1cv3NzcGD9+PLdv36Z48eLs27cPDw8Pxo4dS968eRN97pEjR7h58yYzZ85UH9PS0qJ169Zs2rQJExMTfH19uXnzJnPmzEmD38Y/UrVt/X+9efOGvXv3smfPHm7dugWAvr4+jRs3pn379jRq1CjV9/b09GTZsmXcvXuXsLAwSpcujYODQ6I1Rcnl7u7O6NGjsbW1TfIX6uXlxdKlSzl//jzv378nT548NGrUiOHDh6sbuscJDAykZs2aST7P1NSUs2fPJjieFba9ffjUjz6j1qOlpWLLwn4UNM+p6ZCEEEIIjcoK79+Zia+vLw0aNKBVq1bMmzcvyXF3797FycmJy5cvo6WlRYUKFfj555+pXLlyvHE9e/bE09OT9evXY21trT7+7t07nJycOHbsGB8/fqR48eL07t2b9u3bJ/q86OhobG1tsba2ZtKkSfHOBQcHM23aNI4fP46xsTEODg707t07tb+CRKVJEv5vL168YP/+/WzevBlfX19UKhV37txJ1b3c3NwYO3asurG6trY2Hh4eRERE8OOPP6aq/aGPjw9t27YlKCgoyST89OnT/Pjjj4SHh1O+fHnMzc25efMmfn5+FCtWjB07dsT7OsXDw4PevXtTokQJypcvn+B+OXLk4LfffktwPKv8Rzxq2g4uXH1K+xaVGP1DM02HI4QQQmhUVnn/Fplbmq42u3nzJvv37+f48ePJWs36Kf7+/jg6OmJgYMDGjRvVya2XlxcODg4sWbKEpk2bJpr0JkVRFMaNG0dQUFCSYwICAhgzZgzR0dHMnj1b3cg9LCyMUaNGceTIERYsWMDEiRPV18R9yEiPHpKZwffta3Lh6lP2Hb9N3y51yJ3T6PMXCSGEEEKIJH3xVogPHz5k/vz5NG/enC5durBmzRr8/Pzo2LEjzs7OHDt2LFX33bRpE2FhYdjb28dLtC0sLBg5ciSKouDs7Jyie65du5YLFy58soXi33//TUBAAA4ODuoEHGJ3bJowYQJ58+blyZMn8a6JS8JT8oEgK6lSvjBlS5kTERHF9r1XNB2OEEIIIUSWl6qZ8BcvXrB371727t3Lo0ePUBQFbW1t6tWrR7t27WjWrBn6+vpfFNjJkyeB2K1E/8vGxoaJEydy4sSJZN/v/v37zJs3j8aNG9O8eXMuXryY6LiDBw8CJFr3U6hQIc6cOZPg+J07d9DW1qZMmTLJjicrUalU2HewZuLs3bgevEbPjtYYGnwbfU2FEEIIIdJDqpLwZs2aoVKpUBSFMmXK0K5dO2xtbeP1U/wSiqLw6NEjAEqVKpXgvImJCaamprx58wZfX1/MzMw+eb+IiAhGjx6NkZER06ZN49SpU0mOe/jwIWZmZpiZmfH8+XP27t2Lt7c3efLkoUWLFglmu0NCQnj69ClFihRh586d7Ny5kydPnpAtWzZq167N0KFDKVGiRCp/E5lH/RolKVIgN89fvWP34et0bysbMgkhhBBCpFaqylFMTU3p3bs3u3fvZteuXfTp0yfNEnCI7TYSHh6OkZFRgh054+TLlw+IrR3/HCcnJx48eMDkyZM/GefLly+Jiooib968bNq0iVatWjF//nx27NjB8uXL6dSpE05OTvGuuXv3LjExMTx9+pTp06djZGSEtbU1urq67N27l06dOuHpmfU3u9HSUtGjXWzivdX9MhGRURqOSAghhBAi60pVEn7q1CnGjRtH6dKl0zoeAEJDQwEwMDBIckxcuUtISMgn7+Xh4cG6deto27YtLVq0+OTY4OBgAJ4+fcq0adPo0qULhw8f5sKFC8yePZvs2bOzfPlytm7dqr7m7t27ABQpUgR3d3c2bNjAsmXLOHr0KH369CEkJIQRI0Z8Ns6soHnDspjmNsb/3QcOnbqr6XCEEEIIIbKsZCXhq1evJjo6+p+LtFK3njMiIoLly5d/Pqj/31+lUn12bExMTJLngoKCmDBhAmZmZjg6OiYrPoAPHz7Qrl07fvvtN4oUKULOnDlp164d06dPB2DRokXEdXbs0aMHx44dY8uWLVhYWKjvpaury9ixYylfvjz+/v7qWvOsTE9Xhy6tY7d93bzrIjExadrdUgghhBDim5GsbHrNmjXY2tqmutNJVFQUbm5ufPfdd2zYsOGz442MYlvghYWFJTkmPDwcIMlyFYDJkyfz+vVrZsyYQY4cOT773H/PvCfWarB58+bkyZMHPz8/Hj9+DMR+YChYsGCiZS5aWlo0bNgQQL2JUVbXrnkljA31ef7qHWcuPtJ0OEIIIYQQWVKyFmbu2rWLiRMnMmTIEIoXL07nzp1p0qQJxYoVS/IaRVG4c+cOBw8exMXFhbdv39KwYUP++OOPzz7PyMgIIyMjgoODCQsLI1u2bAnG+Pn5Af/Uhv/XzZs32bNnDzlz5sTFxQUXFxf1OW9vbwCuXr3K6NGjsbCwYPDgweTOnVs9plChQonet2DBgrx9+5aAgIDPvg5AnZzHldhkdUaG+nRoWZkNLhfY6OpJ/Zolk/WNhRBCCCGE+EeykvC8efOyYsUK9u/fj5OTE7Nnz+bPP/8kT548lC5dmoIFC5I9e3ZiYmIICAjA19eXmzf/x955h1dRpX/8M7en90Z6Qgs11IBI71JFQEWawirYdi2rYtt11d8qKquoiIgFEQWlgwSldwglgdBCGqT33m6d3x83uRASWkhIcT7Pk2funHPmnDM3mcx33nnP+0ZTWlqKKIq0bt2aN998k1GjRt3WpARBoE2bNkRFRREfH18jIklBQQE5OTk4ODjcMDJKlQ92QUEBW7ZsqbVNSkoKKSkp9O7dm/nz5+Pl5YW9vT1FRUVkZmbi5ORU45iqhaBVgn3p0qWcP3+euXPn0qVLl1rHAPD09Lytc28OTBnTnTVbTnA+Np2o8yl06+jb2FOSkJCQkJCQkGhW3FGIwtGjRzNixAjCw8PZsGEDJ06c4NChQ7V3rFDQt29fpkyZwqhRo+7YWtq/f3+ioqLYuXNnDRG+c+dORFFkwIABNzw+LCyMmJiYWuvWr1/PggULak1bP2DAALZu3cq2bdtqxP2+dOkS6enpuLm54e/vD5iTFf3xxx94eHjUEOEVFRVs374dgPvvv//2TrwZ4Oxow+jBndj052lWbYiQRLiEhISEhISExB1yx3HC5XI5Y8eOZezYsWi1WqKiokhPTyc3NxeDwYCDgwMBAQF06dLlpv7at2Ly5MksX76cH374gf79+9O9u3lBYEJCAp9++ikAc+fOtbTPysqiuLgYOzu7G7qo3A6zZ88mPDyc77//nh49elh8uvPy8njzzTcRRZEZM2Ygl8sBePTRR9m6dSu//PILAwcOtIhtnU7HO++8Q1paGvfdd59l/i2FR8f3ZMvOMxyNTCTucjatA9wae0oSEhISEhISEs2GOiXrqUKtVhMWFlZfc6mGp6cnb7zxBm+99RbTp08nLCwMlUrFkSNH0Gq1vPTSS9Us1YsWLWLDhg08+OCDfPDBB3Uet3PnzixYsID333+fJ598kq5du+Lk5ERkZCSFhYX069ePOXPmWNr37NmTp59+miVLljBnzhxCQ0Px8PAgKiqKzMxMgoKC+Oijj+7qu2iK+Hg5MahPW3YfjuHnTRG8/fcxjT0lCQkJCQkJCYlmQ91iDd4jpkyZwjfffEOPHj2Iiori5MmTdOjQgc8//5wnn3yywcadMWMGP/30E4MHD+bKlSscPXoUDw8PXn31VZYtW4ZCUf3Z5e9//ztfffUVffv2JS4ujj179mBtbc38+fNZu3ZtvSYyako89mBvAHYdvEh6VmEjz0ZCQkJCQkKiKRIbG8vTTz9Nz5496dGjBzNmzGDfvn03bNe3b1+6devGrFmzOHny5G2Pk5+fz7vvvsvgwYPp0qUL48ePZ+3atTXaFRUV8fzzzxMaGsrQoUP58ccfa+1vypQptxXiuq4IYlXAa4l7ztChQwHYtWtXI8+k7vzjnd84ceYKD43uxgtzhzb2dCQkJCQkJBqclnD/vldER0czc+ZM9Ho9jzzyCIGBgezevZuDBw/y+uuvM2vWLADi4+N55JFHUKvVTJs2DRsbG1atWkVaWhrfffcdvXv3vuk4ZWVlPPbYY8TGxjJt2jSCgoIIDw/n6NGjvPDCC8ybN8/S9s033+T3339n/vz5ZGRksGrVKj777LNqAUTCw8NZsGCBZd1fQyCJ8EakJVzEJ85c4R/v/IZapWDt0idxcqj7OgAJCQkJCYnmQEu4f98rJk2axLlz51i6dCmDBw8GzGGsX3jhBXbu3MmWLVsIDAxk7ty5RERE8Pvvv+Praw74kJeXx7hx43B0dOT333+/6TjLli3jk08+4eOPP2bcuHGAOaFjVb87duzAy8sLk8lEaGgo06dP55VXXgHM6xAdHR1Zvnw5AHq9njFjxjBq1ChefPHFhvpqmrY7ikTTp0dnP9oFe6DVGVgfHtnY05GQkJCQkJBoIqSnp3Pu3Dl69+5tEeBgDkU9b9489Ho969evJycnhwMHDjB06FCLAAdzOOjJkycTFxfH6dOnbzrWxo0bcXNzY+zYsZYymUzGnDlz0Ov1lnDVeXl5aLVaS5Q7AH9/f9LS0iz7v/76K4WFhfztb3+76+/gZkgivIUSkZpCcWVW0YZEEAQem2h+RbQ2PJKycl2DjykhISEhISHR9ElPTwegXbt2NeqqRPDZs2ctArtr16412lWFf76ZCC8uLiYhIYEuXbrUCIld1eeZM2cAcHR0RC6XU1h4dS1bfn4+Li4uAJSWlvLll18yf/587Ozsbu9E68hdRUeRaJpEpKbwyLo19PXx46cHJzd4RsuBYW3w8XQkJaOArbuimTq2R4OOJyEhISEh0RIQRRGdqekar1Qy1V1piKpQ1aWlpTXqqjKPZ2dnk5GRAYCXl1eNdlXJDquSH9ZGZmYmoijWerytrS02NjaW4xUKBWFhYaxdu5YBAwaQmZlJREQEzz//PADffvstGo2GadOm3cmp1ol6F+F6vZ7CwsIWGxGkOeDv4IhKLudIShIHk67Q3z+gQceTy2U8MqEXH3+9g9VbTjBpVCgKhbxBx5SQkJCQkGjOiKLIexc+IK4krrGnckPa2LbmjZDX6izEW7dujYODA/v27bPkcqkiPDwcMCc2LCkpAag1v4xGowGgvLz8huMUFxff8HgAKyurase/+eabzJs3jwkTJgAwbNgwZs+eTXZ2Nt9//z3/+te/UKlUd3KqdaLO7ii5ubl88cUXnD9/3lL2008/ERYWRv/+/Rk6dGit4WckGh4PW1se62x+/fLxkYPci7W3owd1xNnRmqycYnYcvNjg40lISEhISDR3GvY9deOjUCh4+umnyc3N5YknnuD48eMkJyezcuVKvvzyS2xtbVEoFLelU272IHCr40VRrHZ8cHAw27ZtY8OGDezYsYMvv/wSlUrF559/jp+fH+PHj6e0tJTXX3+d/v37M3r0aFatWnX7J36b1MkSnpGRweTJk8nNzcXNzY0OHTpw7tw53n//fURRxN7entTUVJ555hl+++03QkJC6nveErdgfs8w1pyLJjorkx0JcYwIbtOg46lVCqaM6cHXqw7w88YIRg7ogEzW0v+9SEhISEhI1A1BEHgj5LUW7Y4C5kzkWq2WJUuWMH36dADc3d356KOPWLhwIY6OjtjY2ABmq/j1VFmw7e3tbzhG1fE3spaXl5fj4+NTrUypVNKhQwfLfkJCAuvWreOrr75CJpPx3nvvcfjwYRYuXEh6ejpvvPEGDg4O1RZ+3i11soQvW7aMnJwchg8fTt++fQFYs2YNoijy+OOPExERwdKlSzEYDJZwLxL3Fldra2Z37Q7AoqOHMZpMDT7mxJFdsbZSkZicy+GTCQ0+noSEhISERHNGEATUcnWT/amvNWVPPfUUhw8f5pdffmHDhg3s3buX/v37k5qaip+fn0UgV/mGX8vN/MWr8Pb2RhAEMjMza9QVFxdTVlZm8S2/EYsWLaJHjx4MGDAAo9HIli1bmDp1Kn379mXSpEmEhYWxYcOGOzntW1InEX7w4EG8vb359NNP8fPzA2DPnj0IgmAJuj5o0CBCQ0M5fvx4/c1W4o74W/ee2KnUXMrNYWtsTIOPZ2ejYeIIsxvMqo0RDT6ehISEhISERNMmPDycnTt3YmNjQ/fu3enQoQNyuZwjR46g1+vp3bs3nTt3RiaTWSKYXEtVWbdu3W44hq2tLcHBwURHR9eoq4qq0r179xseHxkZyc6dO/nnP/8JmBeN6vX6ausbnZ2dLdFe6os6ifDMzEw6duyITGY+/NKlS2RnZxMQEFDtScPDw4O8vLz6manEHeOg0fBkj54AfHr0MHqjscHHnDq2B0qFnOiLqZy5mNrg40lISEhISEg0XX7++WcWLFhAQUGBpaykpITFixfj7u7O2LFjcXV15b777uPPP/8kOTnZ0i4vL49169bRvn37aq4jtTF+/HjS09PZunWrpcxkMvHdd9+hUqkYM2bMDY9duHAho0aNonPnzoBZcKtUqmpzSUpKuqU1/U6pk0+4ra1tNb+d/fv3A1hcU6rIysqy+OlINA6zu3bnh6hTXCksYP2FczzcqUuDjufqbMuoQR3YsjOaVRsi6LLgwQYdTwJKK3RYq5UNHopSQkJCQkLiTnn66aeZM2cOM2bMYOrUqYiiyG+//cbly5dZsmSJJfrJq6++ysMPP8yjjz7K7NmzUalUrFq1iqKiIj777LNqfR46dIicnBz69etnsVbPmjWLzZs389prr3Hu3DkCAwPZtm0bR44c4ZVXXsHNza3W+e3cuZPo6Gg++OADS5lMJmPMmDGsWrUKBwcHMjMziY6O5uOPP67X76ZOlvDAwEBOnDhBbm6uxW9GEIRq2ZBOnTpFVFQU7du3r7fJStw5NioV83qGAbA44ihag6HBx3x0Qi8EAQ6diCchKbvBx2sILsZl8M6nvzP00U+Z88pKtu0+i1arb+xpVUMURZbviqDfW0t4/Zft9yQKjoSEhISExJ3Qt29fli9fjoODA5999hlLlizB29ubVatW0b9/f0u7tm3b8vPPPxMSEsKSJUtYvHgxXl5erFy5kp49e1brc+nSpbzyyivEx8dbyjQaDStXrmTixIls2rSJ999/n4KCAj788EPmzJlT69yMRiOLFi1iypQp1TJoArzxxhuMGDGCb775ht27d7NgwQLGjRtXj98MCGId7tybN2/mlVdewcnJCSsrK9LS0vD39yc8PByZTMbbb7/N5s2b0Wq1LFq0iNGjR9frpFsKQ4cOBWDXrl0NOo7WYGDwim/JKC3h7QGDmR16Y7+o+uKNhZvYdyyWUYM68OZzDzT4ePWB0Wji4PE41mw9yZkLNV1p7G01jB3WmQdHhuLl7tAIM7yK0WTivxv2sObwVf+5f4y5nzlDejXirCQkJCT+Gtyr+7dEy6ZOlvDx48fz/PPPU1FRQVpaGkFBQXz++ecWH/ETJ05gMBhYsGCBJMCbAGqFgmd79wHgy+PHKNM3vEX3sQfNqex3HLhIRnZRg493N5SWafl160keefZb3vhoM2cupCKXyxg5oANf/Odh5s8YgKebPUUlFfy88ThTn/6G1z7YQETUZUyme299LtfpeeGHraw5fAZBgOFdWgOweNshDsdcuefzkZCQkJCQkLhz6mQJr0Kn01FSUoKzs3O18qNHj9K2bdsa5RLVuZdP0nqjkeErvyepqJB/3nc/8ytdVBqS5/+1hlNnk5k6tgfPPz741gfcY9KzCln7+ym27o6mtMwcp9XeVsOEEV15aHQ3XJ1tLW2NRhNHTiWwPjyKiNOXLeW+rZyYNKobowd1xNZG3eBzzi8p59nvNnHmSjoqhZwPHhvNsM6t+devO9gQcQ4Haw2r/zENH5fGtdRLSEhItGQkS7hEfXBXIlzi7rjXF/GGC+d5aUc4DmoN+2bPwV6tadDxjkUm8tJ769CoFaz7+ikc7KwadLzbQRRFzsaksWbrSfYfi7VYsv29nZkytgejBnZAo1betI+k1DzWb48ifO9Zi3i30igZOaADk0aHEuRX++KPuyU5t4Cnv9nI5ex87K3UfP7EBLoHeQOg1RuY/eWvnE3OpH0rN3587mGsVDc/D4nmRWFxOYdPxGNnqyHQ1xUvdwcpIZaERCMhiXCJ+qDOIlyn07Ft2za6du1KYGAgYF5h+tFHH5Genk7Xrl1ZsGDBLUPK/JW51xex0WTigZ9/JDYvl+d69+GFPv0adDxRFHninyuJTcxizsP38fjU+xp0vJthMBjZezSWNVtPcCH2ajKAXl39mTq2B2GhgXcsaMrKdfy5/zzrwiNJTM61lId29OGh0d3o36s1CoW8XuZ/LjmTp5dvJK+kDC8nO5b+7UGCPFyqtcnIL+bhT1eRV1LO2B7t+b9HR0kRU1oAKen5rNl60rw4WHd1YbVapcDfx4VAXxcCfFwI9HUl0NdFEucSEvcASYRL1Ad1EuEFBQVMmzaNxMRE3n33XSZPnszly5cZO3Yshmuib9jY2LBx40Z8fX3rddIthca4iMPjLvHMti3YKJXsnTUXF2vrBh1vx4ELvPPp7zjaW7F26ZO3tDLXN0UlFWzZeYZ12yLJyi0GQKWUM2JAB6aO7V4vVmtRFIk8l8z67VEcOBaLsdK67upsy8QRXRk3rAsuTnUP1Xnw4mVeXLGVcp2edq3cWDJ3Iu4OtrW2PR6XzN++XofRJPLaxEE81v/GyQ0kmjbRF1P5ZfMJDkTEUvVfOsjPFblcxpWUXHT62uP+a9RXxXmVMA/0dcXD1V4S5xIS9YQkwiXqgzrFCf/2229JSEggNDSUkJAQAFavXo3BYGDChAm89dZbbNq0iXfffZdly5bx7rvv1uukJerOqOA2dHJz52x2Fl+fjOD1/oMadLzB97Vj2c8HSc8q5Pdd0Tz0QMNHZgFITsvnt99PEr73HOUV5oWoTg7WPDgqlAdHdsXJof7i1wuCQPdOfnTv5EdWbjGb/jzN5h1nyMkrYfnqQ/yw9giD+7Zj0qhQOrVrdUfW6Y0R5/j3bzswmkT6tPHjf7PHYqu5se95r9a+vDh2AB9t3sdHm/fRrpUbPYN96uM0Je4BRqOJ/RGxrN58gnOXrmZm69s9kEfG96J7J18EQcBoNJGWWUhicg6JybmWbVJqHhVaAzHxmcTEV0/fbKVR4u/tXE2YB/q64OFmL70xkZCQkGgE6mQJHzt2LAUFBezevRuVSgXA8OHDSUlJYdu2bRb3lIkTJ1JUVMTu3bvrd9YthMZ6kt57OZEnNq9HLVewd9YcPGxrt6rWF+u3R7Lom114utmz+os59eaicT2iKBJ5Npk1W09y+GS8xXoY7OfK1HE9GHZ/CGpVnZ477xid3sDeo7GsD4/kbEyapbxtoDuTRnVjWP/2N30rIIoiy3ZG8MX2wwCM7dGe/0wdgfI2vjtRFHlt1Xa2RV7E2daaNS9Mw9PR7u5PSqLBKCvXsW3PWX7depK0zEIAlAo5Iwd24OFxPQj0db1FD2YMRhNpmQVXhXlSLpeTc0hKy0dvqN1ybqVREuDrQqCPCwHVLOd2kjiXkLgBkiVcoj6okyJJSUnh/vvvtwjwK1eukJycTKtWrSwCHMDf318S4E2Qgf4B9PBqxcn0NL44fpR3Bw9r0PHGDO7Ed2sOk5FdxO7DMYwYUL/rBPR6IzsPXeTXrSeJTcyylN/XI4ipY3vQo7PfPRcTKqWCEf1DGNE/hJiETNaHR7Lj4EUuJWbxwVd/8OXKfYwd0omJI0Px9nSsdqzBaOL99btZezQagDlDevH3B/rd9jkIgsC/pw4jLiOHS+k5vLRiK98/MwWV4t48gEjcPjn5JazbFsnGP09TXGLOQmxvq+HBUaFMGtXtjt2YFHIZfq2c8WvlzMCwNpZyg9FEanp+Nat5YnIOyen5lFfouRCbUW2tBIC1larS1/yq1TzA1wV3F0mcS0hISNQHdborq9Xqar7fBw4cAKBPnz7V2uXn51uEukTTQRAEXu57P4+u/5U156J5snsvfB0aLqSdWq1k8pjuLP/lEKs2Hmd4/5B6uYkXFJWx8c/TbAiPIreg1DyWSsHowR2ZOqYHft5NI0RmuyAPFjwziqdnDuT33WfZsD2K9KxCftl8gtVbTtC3exCTRnejd9cAKvQGXv1pG3vPJyAIsGDiYB69P/SOx7RSKfn08XE88r+fOZOUwX837OVfUxr2YUvi9om/ks3qzSfYcfACBoMJAB9PRx4e15PRgzvW+9oJhVyGv48L/j4uDOrb1lJuMBhJySi4KsyTzNvk9HzKynWcj03nfGx6tb5srFXVFoJWbV2dbSVxLiEhIXEH1EmEBwQEcPr0acrLy7GysmLbtm0IgsCgQYMsbRITEzl16hSdOnWqr7lK1CNhPr7c7+vPweQrLI44wkfDRzXoeJNGdWPVhgjir2RzNDKRvt2D6txXYnIOv249xR/7z6OrjBbh6mzLQ6O7MWF4F+ybQCjE2nCws2LahF48PLYHRyMTWb89kmORlzl8MoHDJxPw9LSnxE1GanExaoWcD6c/wNDOres8nq+LIx9Of4Cnl29g7dFoOvl68FCfzvV4RhJ3giiKHD99hdWbT1SLNd8lxJtHxvWkX89g5PI65U+rMwqFnAAfc3SVwX2vluv1RpLT80lMzuFySi6JyWa3luS0fErLdJy7lF7NZx3A1lpNgK8Lwf5uTJvQq8YbHgkJCQmJ6tRJhI8dO5b333+fSZMm4ejoSGRkJG5ubhYRvnTpUn788UeMRiMPPvhgfc5Xoh55qW8/DiZfYcPF8zzVoxetnV1ufVAdsbfVMH54F9ZsOcmqDRF3LMJFUSQi6jJrtp4kIuqypbx9sAdTx/VkSN+2DeZrXt/I5TL69QymX89gktPy2fBHFJv3RRMrL8FULCCYYJCHH3529nc91v3tA3huVD8Whx/i/fV7aOPlShd/r3o4C4nbRa83svPgBVZvPkF8Ug4AMpnAwLA2PDK+Fx3bNr3fh1IpJ8jPlSC/6r7oZnGeV81qnpicS2pGPiVlWs7GpHE2Jg2VUs7fnxjSSLOXkJCQaB7USYRPnz6dixcvsm7dOgAcHBz4+OOPLa4n69evJy8vj1mzZvHwww/X32wl6pWunl4MDwpmR0I8nx49zBcPjGvQ8R4e15N14ZFEnU/h7KU0OrVtdctjtFo9fx64wJotJ7mcYo7FLQjQv3cbHh7Xgy7tvZv1K3DfVk4MGRrC2sQYTKVGVKIMVbqeo0lxHD0UR9cQHyaNDmVgWJs6P2TMHdqLcymZ7IqO44UVW1nzwjRc7eovOoxE7RSVVLDpz9Os3XaK3Hyzu5SVRsmYIZ2ZOrY7rTwcG3eCdcAszt3MoT2vSTOg0xtITjP7nGflFjO0X7vGm6SEhIREM+GuMmamp6eTnZ1N27Zt0WiuZl/csmULbdq0oX379vUyyZZKU1hdfTEnmzE//4gIbHlkOh3dPRp0vP/7Ipxte87Rv3dr/vvqxBu2y80vZcN284K1gqJywCxgxg7tzOQHureYV937LyTy8o9bKdcZCPF258s5E0hLLWBdeCT7jsViNJr9hV2cbJgwoivjh3fB1enOo9mUVGiZ9tlqErPy6BHkzTfzHkIpbx5vDpobaZkF/Lr1FL/vjraEx3RxsmHyA92ZMKIr9rYNm6lWQkKi4WkK9+/mRGxsLP/73/+IiIhAFEU6dOjA3LlzGThwYLV2Q4YMITU1tdY+du3ahY/PzUPu5ufn88UXX7B7925yc3MJCAhg5syZTJ48uVq7oqIi3nzzTfbv34+LiwuzZs1i5syZNfqbMmUK7du3b7BQ23cVLsHLywsvr5qvUseNa1iLqkT90d7VjbFt27Pl0kUWHT3Mt+Mb1n1o2sTebNtzjgMRcVxOySXAp7oLTOzlLH7dcpKdBy9aQqp5utkz+YHujB3aGVubG8fIbm6sP3aW/6zdidEkcl9bfxbNGouNRoWbgy1dO/iQk1fCph2n2fznGXLzS/luzWFWrD3KoD5tmDS62x29BbDVqPns8XE8+ukvnExIZdGWA7w6cVDDnuBfjHOX0vll83H2H4vFVJmwKdjPlUcm9GJYv/YoldJDT1MgI7+YpTuO4uFoR48gbzr7eWKlurdJxCQk/kpER0czc+ZM9Ho9jzzyCIGBgezevZsnn3yS119/nVmzZgFQXFxMamoqgwYN4oEHHqjRj7PzzYMtlJWV8cQTTxAbG8u0adMICgoiPDycN954g5ycHObNm2dpu3DhQg4cOMDTTz9NRkYG77//Pu7u7owadXV9XHh4OLGxsXzxxRf19E3U5K4s4dnZ2fzyyy9ERESQnZ2NSqXCxcWFsLAwJk6cWKtAl7hKU3mSTizIZ8TK7zGKImunPEp3r1u7idwNCz7YyIHjcTwwpBOvPzMKk0nk8MkEft16glNnky3tOrdrxdRxPejfuw2Ke7xgrSERRZGlfx5lyZ9HARjfM4R/Tx1+Q8u0Xm9k37FY1m+P5MyFqxaCYH83HhrdjeH922Olub0oRLvPxvP37zcD8H/TRjGuR8hdns1fG6PRxMET8azefILoi1d/N71DA3h0fE96dvFv1u5SLY28kjJmffErl7PzLWUKuYwOPh70CPKmR5A3oQGtcLCW3lZI3Jymcv9uDkyaNIlz586xdOlSBg8eDJjvgy+88AI7d+5ky5YtBAYGcuLECR577DHeffddpk6desfjLFu2jE8++YSPP/7YYgw2mUzMnTuXiIgIduzYgZeXFyaTidDQUKZPn84rr7wCwOTJk3F0dGT58uUA6PV6xowZw6hRo3jxxRfr6ZuoSZ0t4fv27eOll16itLSUa3V8bGwsx44dY/ny5SxcuNDyhyrRdAl0dOKhkI78ev4snxw5yKpJd/7Hfyc89mBvDhyP48/95/H3dmbrrmiS08w3RblMYFDfdjw8rgcd2rS8hziD0cR763ax7thZAP42rDfPjbrvpkJNqZQz7P72DLu/PbGJWazfHsmf+y8QfyWbhUv/ZMnKfXQN8TFHuahMuuLv41yrMB/SKZgnh4WxbOcx/vPbTtp4utDe273BzrelUqHVm5PrbDlJSkYBAAqFjBH9Q3h4XE+C/d0ad4ISNSit0DH/mw1czs7H09GOboGtOJmQSlZhCWeupHPmSjrf7zmBIEBrT1ezKA/0pnuQN+4ODZvQTEKipZKens65c+fo3bu3RYCDOVTyvHnzCA8PZ/369bz00kvExMQA0KZNmxt1d1M2btyIm5sbY8eOtZTJZDLmzJnDoUOH2LJlC08++SR5eXlotVr8/f0t7fz9/blw4YJl/9dff6WwsJC//e1vdZrL7VInER4fH8/f//53tFotEydOZMyYMfj4+GA0Gi1ZMzdv3szLL7/M+vXrqyXwkWiaPBfWl40XL3AkJZlDyVfo5+t/64PqSKd2rega4sPpCyl8tXI/YA5vNn54FyaN7oan291HBWmKlGn1vLzydw5cSEQmCLwxaTBT7+t6R320CXTn1fkjmT9jINt2n2X99kjSMgs5dCKeQyfiq7X1cre3hJ8LqIznHODjwtMj+3A+JZODFy/zjx+2sPof03C0aZphHZsaufmlrAuPZOMfURRVJtexs9UwcURXHhrdDVdnSaw1RbR6A3//fjPnU7JwsrFi2VOTCHR3RhRFUvOKOJWYyqmEVE4mpHI5O5/Y9Bxi03NYfeg0AD4uDnQP9KZnkFmU+7k6Sm84JCRug/R0cyjTdu1qLtauEsFnz5qNUhcvXgSuivDS0lKsra1v61orLi4mISGBIUOG1Gjftav5PnvmzBkAHB0dkcvlFBYWWtrk5+fj4uJiGffLL79k/vz52Nk1bLbpOonwr7/+Gq1WawlTeC3BwcEMHDiQ3r1788Ybb/D999/zn//8p14mK9FweNvZ82jnLqw4Hcknhw9x39SGzTI555H7ePHdtXi62jNlTHdGD+6EtVXLTeyUW1zGs99u5GxyJhqlgg+nP8CQTsF17s/eVsMj43sydWwPomNSib+SXRnLOZfLKbnkF5aRnlVEelYRR04lVjvW3dUO71ZO2KtUpOYV8cyyjXw5dwKOdtZ3e5otloSkHNZsOcGf+y9Y1ip4uTvwyLgeLf5vt7ljNJl4bVU4x+KSsVYr+epvEwl0N/uWCoKAj4sDPi4OjO9pzuSbU1xKZGKaWZQnphKTmk1KbiEpuYVsPnEeABc7a7oHeltcWNp4uSKXtRyXOYl7hyiKGMWKxp7GDZELmrvSAtbW5vtKaWlpjbr8fPMb8OzsbMAswu3s7Fi4cCHh4eEUFRVhb2/PhAkTePHFFy191UZmZiaiKNbqBm1ra4uNjQ0pKSkAKBQKwsLCWLt2LQMGDCAzM5OIiAief/55AL799ls0Gg3Tpk2r83nfLnUS4UeOHKFdu3Y1BPi1PPTQQ6xcuZKDBw/WeXIAERERLF26lAsXLlBRUUG7du2YOXNmrU77t8uWLVt4+eWXGTduHB9//HGtbeLj4/nqq684evQoBQUFuLi4MGjQIJ5//nnL09K1JCcn8/nnn3P8+HFyc3Px9vZm4sSJPPHEEyiVzWPRz9M9w1hzLpqozHR2JyYwNKjuIvFWdO/kR/iKZ1GrlMhkLduilJRTwLxl60nOLcTRWsPncyYQGlA/fvcymUDXEB+6hlRfMV5QVMaVlLzqyVZScsnNLyUrp5isnGJMSsBLxpmUDIb94yt8ZDbXWc7Nri1NNflRQyOKIiejk1i9+QRHI68+yHRs68Wj43vRv3fre55cR+LOEEWRd9ftYmd0HEq5nMWPj6ejr+dNj3G1s2F4lzYM72K2xpVUaIm6nG4R5dFXMsgtLmPHmVh2nIkFwFajIjSglUWUd/T1QKW4q7gHEn8BRFFkX9rj5FWcbuyp3BAXTSgDWn1XZyHeunVrHBwc2LdvH8XFxdUsy+Hh4QBUVFRgMpmIjY2lvLycnJwc/vOf/2A0GtmxYwcrV64kOjqalStX3jALe3FxMcANhbqVlRXl5eWW/TfffJN58+YxYcIEAIYNG8bs2bPJzs7m+++/51//+tc9yfhep/8S+fn59OzZ85btAgMD72rRwubNm3nllVcsTy1yuZwjR47wwgsvEBcXZ3lquRPS09NvaZk/cOAAzzzzDFqtlo4dO9KlSxeio6NZvXo1R48eZe3atdX+kGJjY3nssccoLCyka9eudOrUiRMnTrBo0SKOHDnC8uXLUTSDf8huNjbM6tqNr08e55OjhxgcGISsAa3ht7uYsDkTnZTBM8s3kl9ajrezPUufnESAm1ODj+tob41jB2u6dqguzotKKricctVifjQ+mejyXLSOMtKzSsg5U8KJM1eqHePsaG0R54G+rgT4mj87ObRMy7nBYGTXoRhWbzlBbGIWYI5NP6B3Gx4Z35PO7b0beYYSt8vi8EOsO3oWmSCwcPpowtr43XEftho197cP4P72AYDZteVscganEtI4mZhKVGIaJRU6Dl68zMGLlwFQK+R08vOke5A3PYN86OrvhU0L+38niiIGowllM0mS1lQRaNlGKIVCwdNPP81///tfnnjiCV555RU8PT3Zu3cvX375Jba2tigUCnQ6Hc8++yw2NjY8+uijluPHjh3Le++9x8qVK1m7du0NrdO3ijEiimK1B4ng4GC2bdtGbGwstra2+PmZ/zd8/vnn+Pn5MX78eEpLS3n//fc5cOAAtra2TJ8+nccee6wevpWr1EkZOjs7k5iYeMt2iYmJODg41GUIcnJyeOutt7CysuKnn36iY8eOgNlCPXPmTJYsWcLQoUMt5beDKIq8+uqrFBUV3bBNfn4+//znPzEajSxcuNDylFRRUcFLL73Ezp07Wbx4MW+88YblmFdffZXCwsJqK3pLSkqYN28eR44c4aeffmL27Nl1+BbuPU/16MWq6NNczMlmW2wMY9tKsd7ryr7zCfxz5e+U6wx08HHny7kTGz1Jjr2thi7tvelSKSSfBz7evJ8V+05i8lbzeJ+elBdqzRb05Fwyc4rJKygjr6CsWuQaAEd7q2qLQQMqfc6dHW/Ph6+pUVKqZfOO06zdFklWrtmqolEreGBwJ6aO7YGPV8M/PEnUHyv2nWT5ruMAvDV5KMO61G2x1/WolQp6BPnQI8iHv2F2d4lJy+ZUQiqnElM5mZBGXkkZJyt9zL8hApkg0N7bje7XLPZ0tm06D7GiKFKuM1BQWk5+afl124oa5YVlFeSXliOKIm9MGsKUvl0a+xSaJYIgMKDVdy3aHQVg9uzZaLValixZwvTp0wFwd3fno48+YuHChTg6OqLRaJg7d26tx8+aNcviWXEjEW5jY763Xmvtvpby8vIaMcaVSiUdOnSw7CckJLBu3Tq++uorZDIZ7733HocPH2bhwoWkp6fzxhtv4ODgUG3h591SJxHep08ftmzZwqZNmywi9Xo2btzIxYsX6zzZVatWUVFRwZNPPllNaAcHB/Piiy/y+uuvs2LFChYuXHjbfX7//fccO3aMXr16cfz48VrbrF69mvz8fJ544olq56bRaFiwYAGnT5+u9gBy5MgRzp07R7du3aqF1LG1teX//u//GDFiBCtWrGDWrFnNQpg4aqyY260nnx47zP+OHmZU67YoJF/HO2bt0WjeXbsLkyjSr30Ai2aOwVrdNC1h/xhzPxdTszgWl8yGCxf55R/TsLMyx2MvK9dxJdVsOa9yaUlMziU9q5CConKizqcQdT6lWn92tppKq7mLZevn7YxKKUdvMGEwGDEYTOgNRgxG89ZYua83GDEaqz6bMFZuDcZrjqnso+p4Q1WbqjqjseY414xV83hzuVarx1gZ39vZ0ZrJD3Rn4oiuf1l3nObM5hPn+XizedH33x/ox+Q+nRtsLLnMHOKwg48H0wd0RxRFLmfnXyPKU0nNK+J8ShbnU7L4aX8kAIHuznQPakWPQG96BPnQyrn+FqRX6M2C+qp4rqhFXFcv11WudbgTFDIZamXTf8vblBEEAYXQ8v/HPPXUU0yfPp2YmBg0Gg3t2rXDaDTy97//3bJw8kZcu2DyRnh7m/NmZGZm1qgrLi6mrKwMT8+bu6ItWrSIHj16MGDAAIxGI1u2bGH+/Pn07dsXMHtnbNiwofFF+FNPPcUff/zBggULiIiIYMSIEZYnjJSUFP744w82btyISqXiySefrNPE9u3bB5j9dK5n2LBhvPHGG+zdu/e2+4uJieF///sfgwcPZsSIETcU4X/88QdArZZrHx+fGj7uVfMcMmRIjfZ+fn60a9eOixcvEhMT02wyiD4e2p0Vp0+RWJDPhovnmdKhU2NPqdkgiiJf/nGEr3ccA2Bir468PWVok85OqZDLWDjjAR759Geu5BTw+s/b+ezx8chkAtZWKkJaexHSuvpil/IKHUlp+SQmmX3Oq1xcUjMLKC6pIPpiarW42c2FQF8XHhnfk+H9Q1BJ4qJZsvdcPG+v+ROAmQO7M2dIr3s6viAIBLo7E+juzEOV4j+joLiaKI/LyCUxK4/ErDzWHTVHhvB0tKtc7NmKHkE+BHk4IwgCOoPBIparLNDVxHRJpaW6rNwivMt1hjrNXaWQ42RjhZONFY42VjjaaHC8Zt+psuzafUmES9yK8PBwlEolw4YNo3v37pbygwcPotfr6d27N/v27eO///0vU6dO5Yknnqh2fFxcHEC1kILXY2trS3BwMNHR0TXqTp82+9xfO/b1REZGsnPnTn777TfA7BWh1+txdXW1tHF2drZEcKkv6nT1BAcH87///Y+XXnqJdevWsX79+mr1oihiZWXFwoULadu27R33L4qi5UuvLV6kg4MDrq6uZGdnk5mZiYfHzVOt63Q6Xn75ZWxsbHjvvffYv3//DdvFxsbi4eGBh4cHSUlJ/P7776SkpODi4sLIkSNruL/ExpoX5tzoPFu3bs3Fixe5dOlSsxHhdmo183r25r8H97P42BHGt22Puhn4tDc2eqOR//y2i43HzwHw1PAwnhnZt1m8AXG2teZ/s8Yx84s17D2fwNc7jzF/RJ8btrfSqGgX5EG7oOrXnlarN4vza/zOE5NzSM0owGQSUShkKOQyFAo5SoXc8lmhkJn3K8uUlWU3Lq9+vFJxXT9V/cplKJU3Ol6GQn71GJVKgZuzbbP4fUnUzon4FF7+8XeMJpHxPUN4aeyAJvH79HS044Hu7Xmgu/keUFBabo7AUhka8XxKFhkFxWyLvMi2SPNN3k6jxiSKlGp1dRpTIZddFdPW14vp2sS1FVYqRZP4viRaFj///DMXL16kZ8+eODo6AmaX3cWLF+Pu7s7YsWPJzc0lKSmJVatWMXXqVGxtzeFeDQYDn332GQAPPnjzjN7jx49n0aJFbN261WKtNplMfPfdd6hUKsaMGXPDYxcuXMioUaPo3Nn84Ozs7IxKpSI5+aobZlJS0i2t6XdKnZXVkCFD2LFjB6tXr+bEiRNkZWUhiiLu7u706tWLKVOm3FIc34jCwkK0Wi02NjY3XOnq7u5OdnY2OTk5txxn0aJFXLp0icWLF1d7qrme1NRUDAYDbm5urFq1iv/+97/o9XpL/bJly3jyySerZU/KyjIv3HJzqz05R1V5bm7uTefY1JjRJZRvI0+SWlzEmnPRzOzarbGn1KQp0+p48cffOXTxMjJB4M2Hmp+fZEdfD956aChvrfmTr/48QkcfdwZ0CLqjPtRqJW0C3WkTWD0BkNFoQiYTpBu8RINxMTWL577bhNZgZFCHIP49dXiTjbzkaGPF4E7BDK4MU1qm1XPmSrpFlJ++kk5xhdbSXiYIFqv0jSzS15fbqFXS9SbRJHj66aeZM2cOM2bMYOrUqYiiyG+//cbly5dZsmQJGo0Gb29vnnnmGRYvXszkyZOZOnUqgiCwZcsWzp07x7x58+jW7aoOOXToEDk5OfTr18+i62bNmsXmzZt57bXXOHfuHIGBgWzbto0jR47wyiuv3FCn7dy5k+joaD744ANLmUwmY8yYMaxatQoHBwcyMzOJjo6+YUS9unJX5k1XV1eeffbZ+pqLhSrHeiurG/tJqdWVPqtlZTft68iRI/zwww+MHz+ekSNH3rRtVYiby5cv89577/Hoo48ye/Zs7O3t2bdvH++99x5ff/013t7ePPzww9XmqtHUnua4ap4382VqimgUSp7p1Yd/7d3Fl8ePMaVDJ6yaSajFe01OcSnPLN/I+ZQsNEoFH814gEEdGy68Y0MysXdHziZnsubwaV5btZ1f/vEo/vUQzUUK5SfRkCTnFDDvmw2UVOjoHuTNRzPHNGkXsOuxVivp09aPPm3NERr0RiMJmXlolAocbayw06ib7AOFhMSt6Nu3L8uXL2fJkiV89tlnKBQKQkNDef/99+nS5aqx6plnniEwMJAVK1bw2WefIZPJaNu2LYsWLaphxV66dCkRERH8+OOPFhGu0WhYuXIlixYtYtOmTZSWlhIYGMiHH37IxIkTa52b0Whk0aJFTJkypYa7yxtvvIEoinzzzTfY2tqyYMECxo0bV6/fTYP6GHz++eeUlpby2muv3dFxssqFgLfzFG8ymW5YV1RUxIIFC/Dw8OCtt966ZV86nfm1X0lJCQ8++CBvv/22pW7ChAlYWVnx3HPP8cUXX1ie0uSV/+hvNddbhc9pijzcsTPfnDpOSlERK89E8WSPe+tb2Ry4nJ3PvGXrSc0rwsnGii/mTKCLf81kAc2JVycM5FJaNpGX0/jHD1tY9fwjTXZRqYREdlEJf/t6HbnFZbRr5cbnT4xH08z9lJVyOe1a1W61k5Bojtx3333cd999t2z3wAMP3FYemJUrV9Za7uzszHvvvXfb85LL5Wzbtq3WOjs7Oz788MPb7qsuNKh5as2aNaxYseKOj6sKNVNRceOwPVqt+VXdzTIovfPOO2RkZPDf//4Xe/tbrzy/1vJeWyzIESNG4OLiQlZWFgkJCdXGr5pPXebZVFHJ5Tzf27wqeOnJCIpvcI5/VU5fSWfG4tWk5hXh4+LAyucebvYCHECpkPPJrDG42dsQl5HL22t2NMuHSImWT2FZBU8t20BqXhG+Lg4s/duD2FvV/lZSQkJCoqnRJM0FNjY22NjYUFxcTEVFRa2uHlW+2O7u7jXqAKKjo9m6dSuOjo6sX7++2uLRqtSlkZGRvPzyywQHBzN//nycnZ0tba6PJ1mFt7c3ubm5lnSrHh4enD9/nuzsbEJCQmq0r0rHeiNfpKbOxPYdWHoygoT8fL6LOsnfw279JFuFKIrojUa0eiNagwFd1dZgRKs3b13srPF2tm922eX2nI3nlZ+2UaE30NHXgy/mTGj0GOD1iZu9LYtmjuXxr37jj9OX6OjrweODb52gS0LiXlGu0/Pct5uITc/B1c6ar5+ahKt9y7kGJSQkWj5NUvkIgkCbNm2IiooiPj6+RkSSgoICcnJycHBwuOGizCpf8YKCArZs2VJrm5SUFFJSUujduzfz58/Hy8sLe3t7ioqKyMzMxMmppi9sTk4OgEWwt2nThj179hAfH8+AAQNqtL9V9JSGxmA0oTMYrgphiwCuXlahN6DTG9BeI5CrhHOwwokE8lkScYyEmBwEk3C1zTVtry3TVvZ1OwgCeDjY4ePigI+zA76u5q2PiwO+Lo442tx9soD65NfDp3l//R5Mokj/kEA+nvFAi3TXCA1sxWsTB/Heut18+vtB2nu70bftjUNESUjcK/RGIy/9+DuRl9Ow06hZ+uQkfF0cG3taEhISEndEkxThAP379ycqKoqdO3fWEOE7d+5EFMVaRW8VYWFhxMTE1Fq3fv16i4P99StdBwwYwNatW9m2bVuNkIKXLl0iPT0dNzc3iwP/gAEDWLZsGTt37uTxxx+v1j4pKYlLly7h5eVFu3btbvvc75bUvELmLl1HRn4xhpv4zN8uIiIyL9CrTGy/EouqoG5eTGqFHJVSgVohR61UIJfJyC4qpVynJ6OgmIyCYk7Ep9Q4zkatqhTkZmFeJc59XBzwcrS7Z2mTRVHk8+2H+WZnBACTenfirclDUbTgRYdT+3bhbFImG4+f45WV21j9wjS8neuWBbepYjSZ2BUdxx+nL+Hv5sTo0Ha08bpxFCWJxsVkEnl7zZ8cuJCIRqngizkTJP9pCQmJZkmTFeGTJ09m+fLl/PDDD/Tv398SZD0hIYFPP/0UoFqK06ysLIqLi7Gzs7uhi8rtMHv2bMLDw/n+++/p0aMHAwcOBCAvL48333wTURSZMWOGZUFmz549CQkJ4cSJE/z444/MnDkTMC/ufP311xFFkSeeeOKeWnJLKnRkFNQU4Aq5DLVCgVopR6VQoFEqUFUKYpVCjlqhQKWUV2tTtU3VFrEh9SI4yvh7/364WttcPa5SWF8rsK/vSymX1/odiKJIXkk5ybkFpOQWkpJXSHKOeZuSW0hWYQmlWh0xadnEpGXXOF4mCHg52Vks51dFugM+Lo44WNePf6jeaOTfv+5k84nzADw9og/zRvRpUhb6hkCoDLcYm5HDueRMXvhhKz8+93CzX/gGoDMY2HryIt/vOcHl7HxL+Tc7Iwj2cGZUt3aMDm1XL9FhJOoHURT5aPM+tp68iFwm8MnMMXQP8m7saUlISEjUCUFswBVX999/P7m5uVy4cKFOx//222+89dZbyGQywsLCUKlUHDlyBK1Wy0svvVQtG+drr73Ghg0bePDBB6vFeqyNm1nCwbzq9v3330cURbp27YqTkxORkZEUFhbSr18/li1bhuIaH+YLFy4wffp0SkpK6NixIz4+Ppw4cYLc3FwGDRrEl19+Wa19FUOHDgVg165ddfp+bkZxuZZynd4ilFUKOfK7SD8viiKTf/uFyIx0ZnYJ5d+DhtbjbG9Mhd5AWqUgT841b6vEekpuIRX6m2eGs7NSXxXlztWt6J6OdrdlxS6t0PHiiq0cvnQFuUzg7cnDmBT218oimp5fxMP/+5n80nLG9wzhvUdGNtsHkDKtjt+ORvPjvlNkFZYAYG+lZlJYJ5JyCjhw4TJ641VXqhAfd0aHtmNUaFu8nOovtbjEnbNs5zE+Dz8MwP9NG8W4HjXX4UhI3Asa8v4t8dehSZuzpkyZgqenJ8uWLSMqKgq5XE6HDh144oknGDFiRIONO2PGDEJCQli+fDmRkZHExMTg5+fHvHnzmDlzZg1BHRISwtq1a1m8eDFHjhwhPj4ePz8/S3D62gR4Q2NnpcbOSl1v/QmCwEt972f6ht/45ewZ/ta9F963EXHmbtEoFQR5uBDk4VKjThRFcopLawj0Kqt6TnEZxeVaLqRkcSElq8bxCpnMbEW/zsWlyi/dVqMmp6iUp5dv5EJqFlYqBR/PHMuAkMAGP++mhpeTPR/PHMOTX69j84kLdPT1ZNr9oY09rTsiv6Scnw9G8vPBKIrKzZF+3O1tmDmoB1P6dLb49ReXa9l9No7wqEscvXTF8vezaOsBQgO8GBXajpFd20qLAO8xvx45YxHgr04YKAlwCQmJZs9tWcKrXCzulFOnTmE0GutsCW/pNMcn6cfW/8aRlCSmdOjEh8NunvyosSnT6knNK6zVzSU1rxDdLRaOOlprEDGHQXO2teLLORPp5Fe/KWubGyv2neTjzftRyGQsn/8QPYJqjyLUlMjIL2bFvpOsOxZNuc785sTf1ZEnhvRibI/2N43Mk19Szo7oWLZHxnAiIYWq/5YyQaBXsA+jurVjWOfWONrcOLGYxN3zx+lL/HPl74giPDksjOdG336UJgmJhqA53r8lmh63JcKvX6B4RwMIgiTCb0BzvIgj09N46LdfkAsCf0yfTZCT860PaoKYTCJZRSU3cHMpIK+k3NLWz9WRpX97EF9Xx8abcBNBFEVe/Smc8KgYXOysWfPCY3g42Db2tGolITOP7/Yc5/eTFy3rI0J83Jk7pBdDO7e+Y/esrMIS/jx9ie1Rlzh9Jd1SrpDJ6NvOn9GhbRncKRhbTf29gZKAwzFXeObbjRiMJqb07cxbDw1ttq5QEi2H5nj/lmh63JYI37Bhw10N8uCDD97V8S2V5noRz928gd2XExjbth2LR41t7Ok0CKUVOlLyCsktLiM0wKtFhiCsK2VaPTM+X82l9By6+Hvx/dOTm1Sc97NJGXy7+zi7zsZZLNe9W/syZ0gv+rb1qxcBl5pXyB9RZkF+IfWqq5NKIad/SCCjQtsysEMQVirlXY/1VyY6KYM5X62lXKdneJc2fDTjgbta2yIhUV801/u3RNOiQRdmStyc5noRn8/OYuwv5pSxv0+bSYirFB7sr0ZyTgEPf/ozxeVapvTtzNuThzXqfERR5GhsEt/uPs6x2GRL+ZBOwcwZ0qtBM5kmZuWxPeoS4ZExJGblWcqtVEoGdQxidGg7+rX3b1IPKs2BhMxcZn3xKwVlFfRp48eXcydI36FEk6G53r8lmhaSCG9EmvNF/Fz4Fn6PvcSwwGCWjZvY2NORaAQOXrzM08s3IIrwztThjRIxxmQS2XU2jm93H+dcciZgdg95oHt7nhjck2DPmgt6GwpRFLmUnsP2qBjCI2NIzSuy1Nlp1Azt3JrR3drRu7Vvi44tXx+k5xcx4/M1ZBaW0MnXg2/nT5beRkk0KZrz/Vui6SCJ8EakOV/E8Xm5jFy1ApMosn7qNEI9G87SKNF0qQoZp5TLWfHsVDrfo4WreoORrScv8N01Mb41SgWTwjoxa2APWjk3bihBURQ5m5xJeGQMf0TFkFVUaqlztrVieJc2jAptR/dAb2Qyyb/5WvJKypj1xa9czs4n0N2ZFc9MxclWWvgq0bRozvdviaaDJMIbkeZ+Ef9zx3bWXThHP18/Vj44pbGnI9EImEwi//hhC3vOxePhYMuaFx7Dxc66wcYr0+pYe/QsK/adtMT4trNS82i/UB7rH4qzbcONXVdMJpFTialsj4rhz9Ox5JdeXfTrbm/DyNB2jO7Wjk6+Hn/5BYelFTrmLF3LueRMPB3tWPnsw3g62TX2tCQkatDc79/3mtjYWP73v/8RERGBKIp06NCBuXPnWhIiVrF7926+/vprLl68iI2NDb179+aZZ56hTZs2tzVOfn4+X3zxBbt37yY3N5eAgABmzpzJ5MmTq7UrKirizTffZP/+/bi4uDBr1qxaIwFOmTKF9u3b8+6779b95G+CJMIbkeZ+EacUFTL0x+/Qm0z8PGkqfXx8G3tKEo1ASYWWRz/9hcvZ+fQM9mHZU5NQVmaUrS8KSsv55WAUqw5GUVhWAYCbvQ0zB3RnSt8u2Giah6uCwWgiIi6Z7VEx7DwTR3GF1lLn7WzPqEpB3tbL9S8nyHUGA08v38ix2GQcrTWsePZhgjyaZ/QliZZPc79/30uio6OZOXMmer2eRx55hMDAQHbv3s3Bgwd5/fXXmTVrFgC//PIL//73v3FxcWHatGlYW1vz22+/kZmZybJly+jZs+dNxykrK+Oxxx4jNjaWadOmERQURHh4OEePHuWFF15g3rx5lrZvvvkmv//+O/PnzycjI4NVq1bx2WefMWrUKEub8PBwFixYwB9//IGHh0eDfDeSCG9EWsJF/PaenfwUfZoeXq34dfIjfznhIGEmITOXRz/7hTKtnukDuvHqhEH10m9GQTE/7jvF2qPRlOv0gDlk5OODezK+Z0izXqinMxg4HHOF8MhL7DkXbzk/gEB3Z0aHtmVUt3YEurd8IWo0mfjnyt/ZcSYOK5WS7+ZP/svH5Jdo2rSE+/e9YtKkSZw7d46lS5cyePBgwOyy98ILL7Bz5062bNmCg4MDgwcPRq1Ws2nTJry8zC6upaWlTJgwAblcztatW1EqbxxxatmyZXzyySd8/PHHjBs3DgCTycTcuXOJiIhgx44deHl5YTKZCA0NZfr06bzyyisATJ48GUdHR5YvXw6AXq9nzJgxjBo1ihdffLHBvhtpdZDEXfFMrz6o5QpOpqex90piY09HopEI8nDh/x41WxB+2h/J76cu3lV/iVl5vL3mT0b/33es3H+Kcp2e9q3c+GjGA2x+dRaT+3Ru1gIcQKVQMKhjMB9OH82+d57i45ljGNa5NSqFnMSsPJb8eZTxH65gyic/8e3u46TmFTb2lBsEURR5b91udpyJQymX89nj4yQBLiHRQkhPT+fcuXP07t3bIsDBnENm3rx56PV61q9fz/79+6moqGDGjBkWAQ5gY2PDjBkzuHz5MkePHr3pWBs3bsTNzY2xY6+GTpbJZMyZMwe9Xs+WLVsAyMvLQ6vV4u/vb2nn7+9PWlqaZf/XX3+lsLCQv/3tb3f9HdyM5n0Xk2h0PGxtmdk1lG9OnWDRkUMM9A9EJlnD/5IM7dyavw3tzTe7Ivj3rzsI9nCmvbf7HfVxLtkc43tn9NUY3z2DfZg7pBf3tfNvsW9arFRKRnZty8iubSmp0LLnbDzhUZc4EnOFi2nZXEzL5tPfD9LF34sRXdswoksbvJwad/FpffF5+GHWHo1GEOCDx0bRt63/rQ+SkJBoFqSnmxObtWvXrkZdlQg+e/YsNjY2QO3JIQMCAizt+vfvX+s4xcXFJCQkMGTIkBr3ia5duwJw5swZABwdHZHL5RQWXjVs5Ofn4+JijqZVWlrKl19+yfz587Gza9g1KZIIl7hrnurRi1+iz3AuO4vtcbE80KZtY09JopF4ZlRfzqdkcijmCv/4YQtrXngMB2vNTY8RRZGIuGSW7zrO0dgkS/mgjkHMGdKL0IBWDT3tJoWtRs24nh0Y17MDBaXl7IyOY3tkDMfjUzhzJZ0zV9L5ePN+uvh5MqJrW4Z1aY23s0NjT7tOrNx/im92RQDw1kNDGdFV+t8h8ddCFEUQy2/dsLEQrO7K+GFtbV4sX1paWqMuP98c2So7O9vSrqSk5KbtbkRmZiaiKFazoldha2uLjY0NKSkpACgUCsLCwli7di0DBgwgMzOTiIgInn/+eQC+/fZbNBoN06ZNu5NTrROSCJe4a5ytrHm8W3c+jzjKp0cPMTL4zlOCS7QM5DIZH05/gEc+/ZmU3EJeWbmNJX+bWOvfg8kksudcPN/uPk50Ukbl8QIPdGvP44N70sbL9V5Pv8nhaGPF5D6dmdynMzlFpfx5JpY/T1/iVGIqZ5IyOJOUwcdb9tPJ14MRXdsyvEsbfFyahyDfcuI8CzftA+D50f2Y0rdLI89IQuLeIooiYt6joD/V2FO5Mcru4PxLnYV469atcXBwYN++fRQXF1ezLIeHhwNQUVFBjx49ANi6dWuNLOvXtrsRxcXFwFXRfz1WVlaUl1992HnzzTeZN28eEyZMAGDYsGHMnj2b7Oxsvv/+e/71r3+hUjX8gn9JhEvUC3O69eTH01HE5eexKeYCk0I6NvaUJBoJB2sNn84ex/TFqzl86Qpfbj/C8w/0s9TrDUZ+P3WR7/acsGSYVCvkTArrzKxB3ZutVbehcbW3Ydr9oUy7P5TsohJ2noljx5lYTiakcjY5k7PJmSzaeoAOPu6M6NqWEV3b4Ovi2NjTrpV95xN4a82fAMwY0J25Q3s18owkJCQaAoVCwdNPP81///tfnnjiCV555RU8PT3Zu3cvX375Jba2tigUCjp27MiQIUPYvXs3CxYsYNasWSgUCn7++WeioqIsfd2IW8UYEUWx2oNEcHAw27ZtIzY2FltbW/z8/AD4/PPP8fPzY/z48ZSWlvL+++9z4MABbG1tmT59Oo899tjdfynXIIlwiXrBXq3mqR69WHj4AJ8dO8LYtu1R1XOYOonmQ7tWbrwzdTivrgrnm10RdPT1oG9bf9Yfi2bFvlNkFJitFnYaNY/c35XH7u/WoPHFWxpu9rY8en8oj94fSk5xKbui49hxOpbj8SmcT8nifEoWn/5+kBBvd7MPede2+Lk6Nva0ATiZkMJLK7ZiNImM6xHCy+MGtFhffwmJmyEIAjj/0qLdUQBmz56NVqtlyZIlTJ8+HQB3d3c++ugjFi5ciKOjIwAff/wxb7/9Nhs2bGD9+vUAdO7cmU8//ZTZs2db2tVGlU/5tdbuaykvL8fHx6damVKppEOHDpb9hIQE1q1bx1dffYVMJuO9997j8OHDLFy4kPT0dN544w0cHByqLfy8WyQRLlFvzOzaje+iTpJcVMhv58/yWOeujT0liUbkge7tOZucycr9p3j9l+2o5HIKKmN8u9pZM2NAd6be1wVbjbqRZ9q8cbWz4eH7uvLwfV3JLS5j19k4/jx9ieNxKVxIzeJCahafbTtE+1ZuDK8U5AFuTo0y15i0bJ77djNag5EBIYG88/BwKWOoxF8aQRBAaPkGiKeeeorp06cTExODRqOhXbt2GI1G/v73v1sWTtrY2PDJJ5/w6quvkpSUhKurKwEBARw7dgzAYq2uDW9vbwRBIDMzs0ZdcXExZWVleHrePOrSokWL6NGjBwMGDMBoNLJlyxbmz59P3759Adi8eTMbNmyQRLhE08RaqeSZXmG8s28PX0Qc5aGQDmgUN47pKdHyeXFsfy6mZnE8PoUy9Pi4OPD44J5M6NkBtVL691PfuNhZM7VvF6b27UJeSRm7z8bz5+lLRMQlW6KsfB5+mLZermZB3qXtPUuIk5xTwLxl6ymu0NI9sBUfzxxT70mdJCQkmh7h4eEolUqGDRtG9+7dLeUHDx5Er9fTu3dviouL2bFjB61bt6ZLly64u1+NrLVvn3ntSO/evW84hq2tLcHBwURHR9eoO336NEC1sa8nMjKSnTt38ttvvwHmxaB6vR5X16trk5ydnbl48e7C716PdBeUqFce6diFb06dIK24mJ/OnGZu95tnuJJo2SjkMhbNGst3u48T4uPB8C5tUMilRbv3Amdba8uizoLScosgPxabzKX0HC6l5/Dl9iO09nQx+5B3aUOwp0uDzCW7qIQnl60np7iMtl6ufD5nAlYq6QFdQuKvwM8//8zFixfp2bOnxaWkpKSExYsX4+7ubrEsv/POO3Tu3JmVK1daXGDi4+P59ddfGTZs2E0t4QDjx49n0aJFbN261dKnyWTiu+++Q6VSMWbMmBseu3DhQkaNGkXnzp0Bs+BWqVQkJydb2iQlJd3Smn6nSCJcol5RKxQ817svC3b9ydITETzSqQu292CFsUTTxdHGihfHDWjsafylcbSxYlJYJyaFdaKwrMIiyI9eSiIuI5e4jCMs+eMIwR7OligrrT1d6sVXu6i8gnnLNpCSW4iPiwNLn3wQe6ubh62UkJBoOTz99NPMmTOHGTNmMHXqVERR5LfffuPy5cssWbIEjcb8/2Du3Ll88cUXzJ8/n8GDB5OTk8OPP/6InZ0dr7/+erU+Dx06RE5ODv369bNYq2fNmsXmzZt57bXXOHfuHIGBgWzbto0jR47wyiuv4ObmVuv8du7cSXR0NB988IGlTCaTMWbMGFatWoWDgwOZmZlER0fz8ccf1+t3I6Wtb0Raatpbg8nEiJ9+4HJBPi/26cezvfs09pQkJCRqobCsgj1n49lxJpbDl65gMJosdYHuzpZFnW3qKMjLdXrmLVvPqcQ0XOysWfnsw/g2kQWiEhJ3Q0u9fzcUhw8fZsmSJVy8eBGFQkFoaChPP/00XbpcDU1qMplYvXo1v/zyC8nJyTg6OjJgwACeeeYZPDw8qvU3Y8YMIiIi+PHHHwkLC7OU5+XlsWjRInbv3k1paSmBgYHMnj2biRMn1jovo9HIuHHjCAsL41//+le1uuLiYt577z327NmDra0tM2fOZPbs2fX2nYAkwhuVlnwRb465wD/+2IadSs3+2XNx0EiWLwmJpkxReQV7zyWw43Qsh2KuoDcaLXUBbk4M79qGkV3b0tbL9bYEud5o5IUftrDvfCJ2GjXfPzOFdq1qt0RJSDQ3WvL9W+LeIYnwRqQlX8QmUWTMzz8Sk5vD/J69+ed9taealZCQaHoUl2vZez6BP09f4nDMFXSGq4Lc39XRsqizvbdbrYLcZBJ5c/UfbDl5AbVCztdPTaJHkE+NdhISzZWWfP+WuHdIIrwRaekX8Y74OJ76fRNWCgV7Z8/FzdqmsackISFxh5RUaNl3PpE/T1/i4MXL1QS5r4sDw7uYXVY6+LgjCAKiKLJw8z5+2h+JXCbw2ePjGdghqBHPQEKi/mnp92+Je4O0MFOiwRgWFExXD09OZ2bw1YkI3h4wuLGnJCEhcYfYatSM6d6eMd3bU1qhY/8FsyA/cCGR5NxCvttzgu/2nMDb2Z4RXdogAj/tjwTg3YdHSAJcQkJC4gZIIlyiwRAEgRf79mPWxnX8fOY0c7v1oJWdfWNPS0JCoo7YaFSM7taO0d3aUabVsf98In+eieXAhURS84r4fu9JS9tXJgxkXM8ON+lNQkJC4q+NJMIlGpT7ff0J8/bhWGoKX0Qc5f+GjmjsKUlISNQD1moVo7q1Y1S3dpRp9Ry4mMiO07FExCXzWP9uzBhw48QYEhISEhKSCJdoYARB4KW+9zN17Wp+O3+WJ3v0IsCxcVJmS0hINAzWaiUju7ZlZNe2jT0VCQkJiWaDlLpOosHp2cqbgf6BGEWRz44dQRQNiGWrMeWMRyz9qbGnJyEhISEhISFxz5FEuMQ94aW+/QDIL/yDiswxiEVvg+EiYvG7iNqjjTw7CQkJCQkJCYl7i+SOInFP6OhUwJaRewhxuGQuEBxB0Qb0xxELXwKXTQhy10ado4SEhISEhITEvUKyhEs0KKIxG1PhG4i5EwhxuITOKOObi124wM8ITt+AojWYshEL/4komm7doYSEhISEhIREC0AS4RINgiiWI5Z8iZgzHMp/A0ygGc0nsW/w4Zm+fHz0NILMGsHhM0ADukNQ+nVjT1tCQkJCQkJC4p7Q5EV4REQETzzxBH379qVbt2488sgjbNu27a763LJlC+3atePll1+utf6HH36gXbt2N/z5+OOPq7U/f/78TdtPnTr1rubbnBBFE2L5BsTsEYgln4FYBspQBOfVyBw/Y0a3cShkMvZduczxtBQEZRsE+3+Zjy35DFF3vJHPQEJCQkJCQkKi4WnSPuGbN2/mlVdeQaFQEBYWhlwu58iRI7zwwgvExcXx/PPP33Gf6enp/Oc//7lpm3PnzgEwaNAg7OzsatR36NCh1vadOnUiMDCwRnt/f/87nmdzRNQeQyz+AAzm7wO5D4LtS6B5AEEQAPBzcGRKh078cvYMnxw+xC8PTQWrSaA7ChWbEAteBNdNCDLnRjwTCQkJCQkJCYmGpcmK8JycHN566y2srKz46aef6NixIwDx8fHMnDmTJUuWMHToUEv57SCKIq+++ipFRUU3bXfhwgUEQeCTTz7B1tb2lv1euHABgOeee45Bgwbd9nxaCqIhAbH4I9DuMhcItgi2T4P1DARBXaP9s736sO7COSLSUvj1/FnGt22Pxv7fiPpoMCYgFrwCTssQhCb/okZCQkJCQkJCok40WZWzatUqKioqmD59ejWhHRwczIsvvogoiqxYseKO+vz+++85duwYvXr1umGbiooKEhISCAgIuC0BDmZ3FOCOHghaAqIpD1PRfxBzxlYKcDlYP4bgthPBZm6tAhzAy86O6Z1DAViw60+6ff0l0zZs5ZfkxzGJKtDth9Jv792JSEhISEhISEjcY5qsCN+3bx8Aw4YNq1E3bNgwBEFg7969t91fTEwM//vf/xg8eDCTJk26aTuj0XjbgtpkMhETE4O7uztubm63PZ/mjCjqEEu/RcweDmU/AQZQD0Fw3YrM/l+35UryQp/7eKxzVzxtbNGZjBxLTeGtgym8dTIMAEPxJ2w48xOnMzMwmqSoKRISEhISEhItiybpjiKKInFxcQC0adOmRr2DgwOurq5kZ2eTmZmJh4fHTfvT6XS8/PLL2NjY8N5777F///4btq3y73ZwcODtt9/m0KFDZGVl4e3tzbhx45g7dy5q9VULb2JiImVlZXTs2JGvvvqKbdu2kZSUhL29PYMGDeLZZ5+95fzqG5Mosjn5DK2sHOjp6o+s0h/7bhFFESrCEUs+BmOKuVARgmD3GoK67x31ZaNS8e7gYfxn0FAuFxZwJDmJIylJ7EzR0CcpjXF+8fSyWcS4DVcw4UCYtw99ff3o6+NLWxfXejsnCQkJCQkJCYnGoEmK8MLCQrRaLTY2NlhbW9faxt3dnezsbHJycm4pchctWsSlS5dYvHgxrq43TwhT5VqyatUqnJ2d6datGx4eHpw7d47Fixezf/9+vv/+e8u8qkT78ePHOX36NL1798bDw4OzZ8/y66+/snv3blasWEHr1q3v9GuoM0eyE1hwciMArawdGO/bhQl+XQmwdalzn6Iu0rzoUh9pLpC5I9i+CFYTEAR5nfsVBIFARycCHZ2Y1rkrJlEkLmcMRdqZtLLJ4JOw/cw9MJydifHsTIwHwMXKijBvX4soD3R0siz8lJCQkJCQkJBoDjRJEV5eXg6AlZXVDdtUWaPLyspu2teRI0f44YcfGD9+PCNHjrzl2FUi/KGHHuLf//43KpUKgOTkZJ599lmioqL45JNPeOutt4CrizI7d+7Ml19+aXkgKCsr46233mLr1q28+OKLbNq06Z4JxZ4u/jwW1ItNSWdIKytkacwBlsYcoJuzLxP9ujLKuyP2Ks1t9SUaks2W74pwc4FghWDzN7B+AkFW+wPS3SATBNq6BSDqlyLmTmGQVyIHpqrYmtqHI8nJHE9LIbe8nG1xl9gWZ86+6WljaxHkfX398Lazr/d5SUhISEhISEjUJ4IoimJjT+J6MjMzGTBgAG5ubhw8eLDWNo8++iinTp3ixx9/JCwsrNY2RUVFjB8/HlEU2bJlC/b2ZnG2fv16FixYwLhx42rE/C4vLyclJYWgoCDk8uoW3gsXLvDggw+iUqk4fvw4arUavV5PWloajo6OODg41Ohr5MiRZGZmsnLlSnr37l2tfujQoQDs2rXr9r+cO6DCqGdXegybkk5zKDMeE+ZftUomZ4hXeyb6daWfezAKWc2lAaKpCLF0KZSuAPSAAFYPIdj+A0Hu3iDzrTGHslWIRe8ASgTnnxFUXdEZjZzOTOdoSjJHkpM5lZ6GzmSsdpy/gyN9fXzp4+NLXx8/3Gxs7sl8JSQkJCT+GjT0/Vvir0GTtITbVIqmioqKG7bRarUAN3RXAXjnnXfIyMjgu+++swjwW2FlZVWrHzpASEgInp6epKenExsbS6dOnVAqlTeMA25lZUWfPn3YtGkTZ8+erSHCGwq9qZRL+T/gatWNMT73McanE1kVxWxNjmZj0mlii7LYnnqO7anncFXbMNa3MxP9Qmnn4IEo6qFsNWLJ5yAWmDtU3Ydg9yqCMuSezN+C1TTQHgPtdsTCF8BlIyq5Pb1a+dCrlQ/P9e5LhUHPyfQ0jiQncyQliTOZGVwpLOBKYQGrz0UD0MbZxWIlD/P2wVFz4zcsEhISEhISEhL3giYrwm1sbCguLqaiogKNpqbrRFZWFmD2Da+N6Ohotm7diqOjI+vXr2f9+vWWupQU86LCyMhIXn75ZYKDg5k/f/5tzc3V1ZX09PSbPiBc3x6uutjcCwq054kpWE5MAQTaT6Gzywu4a+x4os19PN66L+cLM9iUFMXW5LPkaEv5Ie4oP8QdYYZ3KfN9InCQpZs7kgcj2L8KqoGN4nMtCAI4vI+YexaMKYiFC8Dxi2pz0SiU9PP1p5+v+UGoWKvlRHpq5ULPZM5nZxGbl0tsXi4/nolCADq6uZut5L5+9Grlg22ly5GEhISEhISExL2iSYpwQRBo06YNUVFRxMfH1wgXWFBQQE5ODg4ODjdclFnlK15QUMCWLVtqbZOSkkJKSgq9e/dm/vz5ZGZmsnjxYnQ6HR999FGtxyQnJwNYxv3vf/9LamoqCxYswNvbu9YxADw9PW/jzOsHV00PWjtMJ67wJxKLfiOn/AQ9Pd7HSR2CIAh0dPSio6MX/+w0ggOZcRxPD2egzTp6O2QCkKdX82fhcFydHmeQIgRVIy56FGR24PgZYu4joN1hDoloM+OG7e3UagYHBDE4IAiA/PJyjqWmcCQliSPJScTl53E2O4uz2VksjzyJXBDo6uFZ6VPuR3cvLzQK5b06PQkJCQkJCYm/KE1ShAP079+fqKgodu7cWUOE79y5E1EUGTBgwA2PDwsLIyYmpta6G/mE29rasnnzZnQ6HU888QQhIdXdL/bu3UtBQQEBAQH4+voCcPr0aSIjI+nZsyezZ8+u1j47O5uDBw8il8u577777uT07wpBkNHF9SU8rftxIuttivWJ7E2ZSQfn+bR1nGWJZqIQsxlk9R2DWm0ERIyikq153Xk/3p9SoxJYj4NSw2ifTkz060oXJ+/GsYgrO4PdK4jF75sjtKi6IyhvL467k5UVo1q3YVRrs4tRVmmJ2Z88JZkjyUkkFRVyKiOdUxnpfHn8GCq5nB5erSz+5F09PFHK6x79RUJCQkJCQkKiNpqsCJ88eTLLly/nhx9+oH///nTv3h2AhIQEPv30UwDmzp1raZ+VlUVxcTF2dnY3dFG5FTY2NowbN45169bx5ptv8s033+DsbE48c/nyZf7zn/8A8Mwzz1iOeeSRR4iMjOSLL76gd+/edOjQAYCSkhIWLFhAaWkpU6ZMwcvLq05zuhvcrfsw1PdXIrPfI610F+fyPiez7BA93V5Ho91amZWy0q1GMw6F3Ys86OVNF99sNiWfZnPSGTIrilmdeILViScItHVhgl9Xxvt2wcva4aZj1zvWM0F3DLQ7EQv+Di4bEWS3l9H0WtxtbBnfLoTx7cwPWClFhRZBfiQlmczSEvN+SjL/4zBWCgU+9g44W1nhbGVdubXCxcoal6p9a/PWSWNV6yJXCQkJCQkJCYnraZLRUar47bffeOutt5DJZISFhaFSqThy5AharZaXXnqJJ5980tL2tddeY8OGDTz44IN88MEHN+33ZtFRCgsLmTFjBjExMdjZ2dG9e3eMRiMRERHodDpmz57NggULLO1FUeS1115j48aNKBQKunfvjoODA8ePH6egoIAePXqwfPnyWheQ3qvV1aIocqV4M2dyPsRbXkSIyoBGqMxCqexhTraj6lrjOKNo4lj2ZTYmnWZH2nkqjAYABCDMLZCJfl0Z3ioEa8W98akWTYWIORPBlAqa0QgOn9arZV4URRIL8i2i/GhKMnkVt+/LLwAOGk01wV5NrFeWu1RunaysUElWdgkJCYlmhxQdRaI+aLKWcIApU6bg6enJsmXLiIqKQi6X06FDB5544glGjBjRIGM6ODiwevVqvvvuO7Zt28aRI0dQq9WEhoYyc+ZMhg8fXq29IAh8+OGH9OnThzVr1nD27FlMJhMBAQE89dRTzJgxA6Xy3vsYG0Uj8kq3E0EQ8Fe74mNnj8yYA0CJSSBTFoa/wxeoFLVHjpELMu5zD+I+9yBK9Q/wR9p5Niad5njOFY5mJ3I0O5H/RP3OCO8OTPTrSi/XgAbNZCnIHMDxf4h508xxy1V9wPrR+utfEAhycibIyZnHKhMHJebnkVlaSm55GXnlZeSVl5NbXk5emflzVVl+RTkiUFBRQUFFBQn5+bc1pp1KXSnWrXCxtr7G2n5VrF9rfVcrmvQlKyEhISEhIXGbNGlLeEunoZ6kU8pS+c/59wm0CeAJ3/646b4F3X5zpWBPlqw7R4tOYsKElcKTXu7v4WrV4/b7L81nc/IZNiWdJqn0qtisr+yct0Is/Rax+ENAheDyK4KyQ4ONdbsYTSbyKyosojyvvMws1q/dL7tanl9RjqkOl56NUllpWa9yhTGL855e3tzv5y+JdAkJCYl7gGQJl6gPJBHeiDTURZxZkclH599glN0lBtpmIhdERBQI1tMRbJ9GkDmSW3GaE5lvUmpIAQTaOs6mg/N8ZMLtW+1FUSQyL5mNSacJTzlHiUFrqQt19mGiX1dGe3e67eyctz+uCbFgHmj3gjwQwWVdnfzDGxOTKFJYKdrNYr1KoFdZ26vE+1UhbzCZbtqnjVLJ4IAgRrVuw0D/QGyk0IsSEhISDYIkwiXqA0mENyINdRGLhiSMuQ8iE4sBOFHmwt7y3oz3fZr29u0s7fSmUs7kfMSV4k0AOKpD6OX+PnaqwDses8KoZ3d6DBtvkJ1zgl8X7ndvXW8LF0VTPmLOBDBlgGY8gsNHjRK55V4hiiLFOi255eXkllV3jUkrLmJPYgIZpSWW9mq5ggH+/owMbsPQwGAcaom1LyEhISFRNyQRLlEfSCK8EWkwEa6/hJg7GRRtuCBO4OuUSAr1RQAMdOvPw75TsFFcTeWeWrKTyOz30JkKkQsaOru8SKD95DqL2uuzc1ZxfXbOu0XUnUTMmw4YEezfR7Cectd9NldMosiZzAy2x8fyR1wsVwoLLHUKmYy+Pr6MDG7D8ODWuFnb3LgjCQkJCYlbIolwifpAEuGNSENexKKoQxDM7gilhlJ+TV7H3ux9ANgr7HnM/xHCnHtbhHa5IYuTWW+TVX4MAE/rAXR3+xcahfNdzEHkQmEGG5NO83tyNHm6MktdiIMn4/26MMyrPT42TnUfo+RrxJJPAA2Cy1oEZds699VSEEWRi7k5bI+7xB/xcVzKzbHUCUDPVt6Mat2WEcGt8barfVGuhERLRDRmQcWfiPpIBOsZCKrQxp6SRDNFEuES9YEkwhuRe30RXyqO5fvEFaRVmNPSd3boxKyA6bip3QCzr3Vc4c+cy12MCT1quTM93P6Np03/ux5bbzJyIDOOjUmn2Zseg1686t/cytqBMNdAersFEOYacEcxyEXRhJj/N9AdAHlwpX94zXCQf2US8vP4Iz6WP+LjOJOZUa2us7sHo1q3YWRwG4Kc6v7AJSHRVBGNGWbhXbEd9Ceh0lUO6znI7F9t1LlJNDxaowG1vP4XrEsiXKI+kER4I9IYF7HepGdb+nY2p23FIBpQyVQ86D2BkZ7DLSENC7WXOJ71BkW6OACC7KfSyeUfKGRW9TKHfG0Z4ann2JZyltN5KRjE6gsO/WycCHMLJMw1gN5ugbhpbr7oUjTmIuZOAFMWaB5E5vhhvcyzJZJaXMSf8XFsj7vEibRUrr3427q4MjK4NaNat6W9i2uL9rGXaNmYhff2SuF9qnqlMhRBMwqsH0UQ6ud/mkTT41JhJosv7GVX+kXe7voAjwb1qtf+JREuUR9IIrwRacyLOL08gx8u/8jF4hgA/Kx9eTxgFkG25kWZRpOWs3mLiS/8GQA7ZSC9PP4PR3X7ep1HqUFHZG4Sx7IvE5FzmbP5aZZFnVUE2bqareRuAfR2DcBZXdOnWdRFIObNBEwIDh8gWE2q13m2RLLLStmZEM/2uEscSUmuFn3F38HRIsi7eHg2aPx3CYn6QDSmVQrvP0AfWb1S2d0svDUjEeT3PnuxxL3jckkuX1zYy7aUs4iADIGPek3iAZ9O9TqOJMIl6gNJhDcijX0Ri6LIgZyDrE76lVJjGQICwz2GMslnIlZys4Uos+wIJ7PepsKYg4CCDs5P09ZxJoLQMJkei/UVnMhJIiInkWPZl7lYmMH1f6Bt7d0rBXkgvVz9cVCZ5yqWfIlY8hkIVma3FEXrBpljU6PUUIa13OquLNeFFRXsTkxge/wl9l+5grYyOyqAp40tIytdVnq18kZeTxFuJCTuFtGQAto/ECvCQX/mmhrBnA1YMwo0IxDkno02x7oiiqL0NuoOSC0rYMnFfWxKOo2xUtaM8u7As+0HEWzvVu/jNfb9W6JlIInwRqSpXMRF+iJ+TlrDkdyjADirnJjhP53uTqEAaI35RGa/R1rpbgBcNT3o6f4u1sqGtygV6Mo5kXOFiJxEjmZfrhZtBcwLDds7eBLmFkCYmx/9lP+HXH8MFG0RXH5rsa+bdSYdx/NOsj/7ABeLY2hj25o5gY/jZXX3YqNUp2PflUS2x8eyJzGBUr3eUudiZcWwoNaMDG7Dfb5+qOQN8zAmIXEjREMSVFQKb8PZa2oEUPZC0IysFN53H4GpPhFFkRKdjtzKfAA5ZWXkllVur90vLyVbV4xWUc70kB683muY9CbqJmRVFLMs5gC/Jp60rDUa5NmW50MGE+LYcA9fTeX+LdG8kUR4I9LULuLogrOsuLKSbK05mkZPpx5M938UJ5UToihypXgjp3M+wiiWo5TZEur6Br52o+7pHPO0pUTkXDa7r2RfJqEkp1q9u6qCDV2346goJZOROLh+grWi5SStuVJ6hX3ZBziSe5QyY3m1OqWgYKL3BEZ7jbT4998tWoOBg8lX+CM+lp0J8RRUVFjq7FRqhgSakwMN8AvASnn7iZ4kWh6pRUVEpKZwJisDQRCwU6mwVamwUVZuVSrsVOpqZbYqFSq5/JYWX9Fw5aqPt+HcNTUyUPU2W7zVwxHk9W/xvBlGk4m8ivJaxbTlc3kZOWWl5JaVV3vDVBMRmZURua0Omeaqa1igrQuPBfdmol8oNi3of9ndkq8tY3nsIX5OiKCi8nvt4xbI8yGD6ebi2+DjN7X7t0TzRBLhjUhTvIi1Ri2b0rYQnv6HOa293IopPg8x2H0gMkFGiT6J45lvkq+NBsDX9gFCXV9DKbdrlPlmVRQTkX2ZY9mJRORcJqk0nzD7DJZ32IVMgNdi7yfFdH+lpTyQUGcfNPLmJRZLDWUczT3KvuyDXCm7Yil3VbnQ3+1+Ojl0ZGPqZqILzVZBf2t/5gY9jp91/d6I9EYjEWkpbI+L5c/4OLLLSi11GoWCgf6BjGrdhsEBQdir1fU6tkTTQhRFLhcWEJGSTERaKsdSk0krLq5TX0qZzCLSbVVqbJRKbFVqAu0KCHM5S2eH03hqkq8ZW0aBqQtFwmD0yiFYqTwtx9fHm5lyvf46y3RNMZ1bVmrJanunN1BrpRJXK2tcrK1xtbbGTqMihwIulqdQaDA/WMsQ6OXqz9mCNEoNOgDslGoe8u/GtKDe+N5FWNfmTrG+gh/ijrAi7qjluwl19uEfHYYQ5nbniebqSlO8f0s0PyQR3og05Ys4qSyZ7xNXkFCaCEBr22AeD5iJj7UPJlHPxfzlXMxfDpiwVnjR0/09XK26N+6kgfSyQo7lXMau4msG2++k1KhgypnRXKkwx8NWyuSEOvtYIq90dfJG1QDhq+4WURSJKb7EvuwDHM87gV40u4QoBAXdnbox0K0/HexDkAkyS/tDOYdZlbSaMmMZckHOGK/RjG81FqWs/h86TKLIqfS0ytCHsaQUFVnqVDI59/n5mZMDBQXjbCWFjGzumESR2LxcIlJTiEhNJiI1tdpDGIBcEOjk7kEPL29UcjklOi0lOh2leh0luqs/Vftl17g5VRFkl89o3wRG+yTQ3jHPUm4wCRzN8iY8JYgdqQHkaWt3M1PJ5dhdZ323rbS+215jmbdWKinSaq8R1leFdmkt87oZAuBsZYVLpbB2sbauFNk2uFpZ4WptYxHczlbWWFe+MUoszuGnhAg2XomizGge00FpxcOBPXg0qBeeVvaU6rVsSIrip/gIrpTmWcYb4tWO6cFhhLkG/GX8xssMOlbFR/Bt7CEK9eY3ciEOnvy9wxAGeLS+599DU75/SzQfJBHeiDT1i9gkmtiVtYe1yeuoMGmRC3Ie8BzFeO+xqGQqciuiOJ75JmWGVEBGO8fHCXF+CpnQ+JZmUTQi5s0CfQQFJn8+TpvLoexUsiqqW+s0cgXdnP0skVc6ObVCKWt4P2dRFNGZjJQatJQadOatXke2NpfzRVHElUVTaiy0tFcKdqjxRTS6UW7A0r7UoKXMqEOGDLVcgUZuwskmDbXSfKxoskZhao9GcEYtV6CUKVDJ5Kjl5q1KpkBV+Vl93WelTIFKXll+zeca5TI5l3Jz2ZEQx/a4WOLzr4onmSAQ5u3DiODW+No7olEoUCvkaOSKys/mn6p9hUz2lxEVTRmjycT5nGwiUlM4nprC8bQU8q9xRQLzw1ZXT096e/vQ29uH7p6tsFHdvruE0WSiVK+nvOICcu2fWBl3YiVcttSbRDkpFR04V9SN04WdyCpXUlol5HU6iq8R9RWGm7l53DkquRxXa2tcrKwrRbTV1c9WZkFdJaydNFYobnOxsiiKHMqK58f4YxzIjLOUt7ZzY0ZwGON8u2ClqPn/0ySKHMiMY2X8MQ5lxVvK29i7Mz2o9w2PawlojQZ+vXySZTEHyNGaH/yC7Vx5LmQww1uFNJq/fFO/f0s0DyQR3og0l4s4T5fHyis/cyrfHPbLQ+3OrIAZdHTogN5UwumchSQVbwHAUd2BXu7vY6cKaMQZmxGNmZXxw/PAahqC/b+4XJJnWeR5POcyudrq1jxrhYoeLn70djWHROzg6IW80tqsNxmvCmaDjlK9lrJr96/fXiOSqz6XGnSUVW6vxkcXcdSU42ZdiqOmnKp7itEkkFtuTXapLaV6FWYb2G2dOU6acgIc81DKTYgiZJbakVLkgElsuMgmSkGGSq5ALsgwmkR0eiNao8mcG0UE0SSASUA0Vm5NAhjN26oyGQIahRKN3CzW1QqlWazL5WgUlcJdXincLftyNAqlWdBf2+4acW8R+9e10SjMDx5/9YVvOqORs1mZHKu0cp9MT6VEp6vWxkqhoLtXK7PobuVDqKcXasWdv0USRREMseaFlRXbwRh/Ta0SVH0RNKNBMxRB5nhbfeqNRsr0ekp0Oop15gfUEq35uiu+RriX6LSU6vWU6nXYq9QWK3U1YW1lja1KVa8Pg2UGHZuSTvNTfIRlHYuAeQHhjOAw+rgF3vZ48UXZ/JQQwaak05RfY0GfEtCdaUG97ijZWVNGbzKy4UoUS2P2k15uftPma+PEM+0HMta3s+X/cmPRXO7fEk0bSYQ3Is3tIj6Rd4qVV1ZRoC8AoJ/LfTzqNxU7pR0pJTuIzH4PvakIuaChs8tLBNo/1OhWTVF7ADF/DgCCw6cIVg9crRNF4oqzzT7lOeaFnoX66osdbRQqVDIFpQYtOpOxXuemlutxsynFzboUpfxq36LJHpXojZ3cB1uFNTYKNTZKlXmrqLm1UqgwiSI6kwGt0YDeZERnMlCoK+ZYwS6ulF8AwEpmTxvrftjI3dEZjWhNBvQmg+WzzmREZzRUll/9XFWuq/ysveZzfSOKWIR5lWC/mXjHBLf/cHJjVHI5VgolHjY2+Ng74OvggK+9+cen8rPtHVh5b4eqtyElBi0lem3ltuLqZ4OWUku5lhKDjnKDDg8rOwJtXQm0cyXIzhUPjd0dX2cVBj1RGRlm95K0FE6lp9WwJtuqVPRs5U1Ypeju6O5RZ59rs/C+aI7hXREOxsRrapWgvt8c1UQ9FEHWMkQkmMPm/ZxwnLWXT1FU6UJho1Axyb8bjwX1xt+27llqi3QVrLtyilUJx0ktKwDMLkHDvEKYERxGdxffRv//WxeMoonfk8/y5cW9JJXmA+BpZc/8dgN40D/0nrypvB2a2/1bomkiifBGpDlexOXGctYmr2dX1h5ERGwVtjzq9zD9XPpSbsziZNbbZJdHAOBlPZDu7m+jljduOnRT8SdQ+jUINggumxAUfrW3E0ViCjM5lpNIRPZlTuReoVivrdFOJZPXFMRK89Zaoarc1i6YVTIZyeWXOFN0kvjSq6+j7RS29HO9jwFu/fG2alWv53+64Aw/XP6RPJ35hjbIbSAP+07GWnF3vtqiKFYKfqPlAaDqs+6az1qjgQqjgUJ9OfnaUvJ1ZeRpyyq3pZbPFcY788UFs/xWCUrUggKloECBArkoRxAFBJMM0ShgMoLRKKLTi+j1JnQGExVGQ7XkRLeDk0aDj70DPnb2tHKww83GGmdrDXZWaqxVCrQmg1lEG7TVhHWpXnfNfsU15VpLSLW7wVqhItDWhSA7VwJtXSu3LvjbuljSdZfodESmp3GsUnSfycio8RDlpNHQq1Jwh3n70N7V7a5iwpuF94VKi/cfYLx8Ta0S1AOuEd6Ns7C7IRBFkZO5SayMP8bOtIuW5GN+Nk48FtSbSf7dsFXW38Jlo2hiT/olfoo/xrGcy5byEAdPZgaHMdqnU4Okba9vRFFkR9pFPr+wh7jibABc1DY82fZ+Hg7s2eTOoTnevyWaHpIIb0Sa80UcVxLP94k/klKeAkAH+xBmB8zAXe1GXOFPnMv9AhN61HIXerj9C0+b/o02V1E0IOZNN6evVnREcFmDINzaqmkUTcQXm18dXyuk62KJSSpLZl/Wfg7nHqXMWAaAgEAnh44MdOtPN8dQFLI7u8mYRU40YsUfCII1yP3MPwo/EByrWcHKjeWsSV7Lnqy9ADgpnZgdOINQx653fC4NRblBT56ulHytWZzn68rMn3WVQv0a4Z6vK7NYFu8UW4UaZ7U1jiprHJRW2Ck12Ck0WMlU5FWUkV1eQm5FGYW6ckr0WspNZtchQSaCIIIM6tvAaKNQYatQY6tUY6vQVG7Nb0CulqtRy5WklxWSWJJDQnEOSaV5lsQk1yMANjINokFGcakeo16GaJAh6s1vFNxtbC2uJb29fWjt7HLXbjmiaALDOXMowYo/wJh0Ta2qUniPAvUQBJntXY3V1NAZDWxLPcePcUe5UJhhKe/jFsjM4DAGeLZpcBeKmMJMfoo/xpbkaLQm85sNZ5U1Dwf25JHAnrhbNb2HHbHS3/2zC3s4X5AOgL1Sw5w29/FYcFiTDcvYnO/fEk0HSYQ3Is39IjaYDPyR8ScbUjejF/UoBSUTvMcx2nMkJfp4jme+TrE+AYAg+4fp7PIP5DJNo8xVNKYj5kwAsQCsZyCzf6vBxywzlHE0L4J9Wfu5fE1oQReVM/3d7meA6/24qF3uuF/RVAoVWxHLVl8XM/kaBLurglzuh1Ap0OPK9XxzZSuZWrOlqa9LH6b7PYqtsvkJIr3JSL6ujAJtGXlV4rxStF8V7FdFe4Gu7IaCta4IooBoAlOVa4xJQBTNn81b82c5cpw01nhY2eJl64CvnT0B9s4EObjQxskVZ6u6ZTzVmYyklOYTlZPKofRELuRnkFZRQAVabqb3bBVqWtu7EVTp1lJlSfexcbrjh0zRmAW6Q4jaQ6A7BKbca2rVoB5YKbwHtTjhDZBdUcKaxBOsSTxhWTiolikY59uZGcFhtHW490mD8rVlrL18ip8Tj5NR6U+tEGSM8u7I9ODedHX2uedzqo2I7Mt8dn43p/LMISitFSpmBfdhduu+2Ksa515xuzT3+7dE00AS4Y1IS7mIMyuyWHF5JeeKzgPgY+XN7ICZBNn4cDZvMfGFvwBgpwykl8f/4ahu3yjzFCv2IBY8BYDg+Ln5VXh9jyGKXCqJZV/WAY7nn0BnMi9ukwtyS2jBjvYdLKEF76hvfQxi+S9QvgnEqgWlKtAMB0EDhiSz5dGUefN+UFMk2pNQbiTLoKHI5EhXlzG0dRyGoPC+rbcEzRGTKFKkryC/0gWmulgvpVBXgVour7RAq6tZoG2Vmmr7Nko11nIlgiAgiiK55eWkFBWSVFhAclERKUWFJBcVklJYSFpJ8S1dX2yVKnwcHPCzd6j0Sbc3byt/rk+ElF5cTERaSmXIwJRqEWnMiPg7O9DGzREXew0ypUi2rpjE4hxSywpuGNtaIcjws3Gu9Dd3IcjWlQA7V4JsXS2iSBQrQHcCUXvQLLoNMdU7EaxBVeVqMghBZnMHv6Xmw7n8NH6MP0Z4ylmLW5GHxo5pQb2YEtADJ3Xjh+bUm4zsSr/IyrhjFqEL0MXJmxnBYYzw7oCqEXysT+el8Nn5PRzJNhtp1DIFjwX1Yk7bfjirm8ffS0u5f0s0LpIIb0Ra0kUsiiJHco/xc9IvFBtKEBAY7D6QKT4PUayL4kTWv9AacxBQ0NH5Gdo4zkRohNXtpqIPoexbEOwQXDYiKOonoU2BrpBDuYfZn32AjIqrIriVVSsGuvXnPpe+2Cvv/FWwKGrNmQLLfjG701Qh90ewfgSsHkSQOV93TDkYUsyC3JiEaLwChuTK/VTgxuHcRGQI8lYg9zWPofCzfEbu22IFVUNiMJnIKCkmubBSmBcVVW7N+1mlpbfsw8XKGl97B9xtbLiQk01yUWGNNu1cXOntbfbn7tXKBzeb2n9XFUY9V0rySCjOIaEkh8TiHBJLckkszrFE26iOSFvrAoa75DLAKYv21skohGv/hgRQdDQvrlTfD8rQFvsgZzCZ2JV+kR/jjlYTtaHOPswIDmN4q5Ams3Dwes7lp7EyPoJtqWfRV64HcNPY8khgTx4O7InLPRC/FwszWHx+D3syLgHmiEqTA7ozr92AJukqczNa0v1bovGQRHgj0hIv4hJ9CauTf+VAziEAHJUOTPefRmf7ICKz3yW9bC8Arpqe9PR4F2uF5z2dnyjqEfMeA30UKLsgOP9cZ8FgFI1EF55lX/YBovJPYzKH6kAtUxPm0puBbv0Jtgmqk5uBaLhsdjcpX292oQFAAephZvGt6lOnhxhRNIAxDYxmUW7UJ5JRehyT4TJuinLUslssFJS5WnzPhUpXF+T+oPAFwalZRmNobCoMeoswTy6sEudFlZb1Qop1NRcHywSBjm7uFtHds5U3jpraE9jcLiZRJLO8iISSHNJL4pDrjuAuO0M7q3icldWjBqVrrTlc6MXhAk8ii31w1HhbrOeBtq742Tjja+OEo6pubjZNjQJdudm9I+E46eXmB6Aq944ZwWF0cfZu5BnePjkVJay5fJLVCSfI0ZYA5iRmY3w6MSM4jA6OXvU+ZmJxDp9f2Et4qtl9TobARL+uPN1+IN42jvU+3r2gJd6/Je49kghvRFryRXyh6CLfJ/5IptZsFQ517MoMv8co1u3jTM5HGMUKlDI7XDTdABERk3mhIabKfdG8yAsTYmWgaVGs+mxCxBx/WuRqG3N78WobUaysr9xW7qvRc786DaUgkqC35YLBrrIPQDT3fe2YMkGJXFAjE1TIBTUiMkqNWor05ehEE0ZRwCTKsFbY4aHxxkPjhUpmjUxQI688RiaokMuq+lBZ+qq2RY5SfxyFdisy/fGrX6bMC8H6YbCajCB3b5DfV1JZMt8mfEd+RRzuynK627kw0DkAK7LNFnRD0jUPAzdAsK30Q6+0mlsWivqDzKNR3ny0BAorKswCvaiQzJISAh2d6O7VCjt1/UXYMLuYnKx0MTlYw8VExIoSWVeSdCGcKvHjVKGChOJcrpTmWayqtWGnVONj7WQR5VU/fjbOeFjZ33aSm8Yiriibn+KPsSn5NBVGs/XfSWVtzmoZ2KvZWW+vRWcy8kfqOVbGHyM6P81S3sPFjxnBYQz1an/Xv5+U0nyWXNzPpqTTligxD/h04tn2Awm0c72rvhublnz/lrh3SCK8EWnpF7HOpGdr2u9sTd+GUTSilqmZ7PMgfZzbcDLrTfK1N1hUeA/wkhsI05gtjEcr1GQYGy/8lZVgIkBhwF9hQCMzX46iCJlGOYkGBdkmq0qhrr5GwKuuEfkanDQd8bIZjKOqfZ0tj0bRyPaMP9mQshG9aEAtUzPVdzJD3AchE2SIpqKrgtyYhHjNZ0wZt+hdbXZXsH4EVPcjCE3zlf1fBXNknUugO1i5oPI4cJ3FXdER1P0QVPeDqnutb4yMoonU0gKLW0tCpWtLcml+jey016MQZLSydsTPxgkfGyf8bJzwrRTrzYn/swAAL0lJREFUPjZOjRYV40bZKds7eDAjOIwxPp2bXLi8uyUqL4Wf4o/xR+p5SxIxLyt7Hg3qxWT/7nfs355VXsxXMftZd/mUxV9+qFc7ngsZTLtGWKjaELT0+7fEvUES4Y3IX+UiTi1P4/vEFcSWmONiB9oEMNt/GkoS0ZuKMb+cFEAQMOdMlAFCpeVUMNdhTmduqUMAQVbZXriufWUfApXtZde0Fyxt1GXLUGk3IQq2FNt/gUFwwySKGEUTJtGEUTRRYiwjMv8Ekfkn0ZnKkAkm5ECQjQ+dHNrhb+2NgBGjqMUk6jCKWoyiDlO1rf7qvqmqvAJHcvCSZeEqFFtC3lWIAlf0Cq4YFJTVIbullcITL+uBeNkMws2qBzLhzlNZZ5Rn8G3iD1wqiQWgrW0b5gTOxtPqxq5Doqg1u7jUJtCNqcA1vsYybwTrqWD1UINZ9iVqIhpzQHe40tp9GExZ1RvI3M0PSqr7QX1fjbUGd0q5QU9KWT4ppfkkleaTXJpHcmkByaV5pJQV3NSCDuCqtsHHIswd8bVxtgh2N7Vtvbu5lOq1bEw6zU8JEVwuMUd4EYAhXu2ZGRxGL1f/FuFaczMyy4tYnXiCNYknydeZQ6lq5ArG+XZhenAYbe1vfr3maUv55tJBfkk4YQmR2M89mOdDBjcrl53b4a9y/5ZoWCQR3oj8lS5ik2hiX/Z+fk1eS5mxHBkyRnoOp7NDJwyiEaNowCAaMJiqPhsxiAaMJkNlvXn/apvK+tqOqfxsNF09xigaMZiu1htFI6Ko559uJwhUFxOnteODzC4YubHwdVY5M8D1fvq79cNVXbdXqaIxG8rXIpb9CqbUqxWqPgjWj4J6KKBExGAW9CazkDcLfF0tAl+HzlhIVvkRMssOYxSvxs5WyGzxtO6Hl/UgPK37oZTf/qtzk2hiV9Yefkteh9akRSkoeNBnIqM8RyC/Qyu2KBrBEIdYvg7KN4BYtahQYY4Xbf0IqO6T3FXqGVHUml1MdIdAexAMF65roQFVL/NiStX9oGh9z0SmUTSRVV5Mcml+5U8eSaX5pJTlk1SSXyNz7fVYyZVmgW5d6eJiW/XZGW8bxzuK+JFSms9P8RGsuxJJicH8NsBWoWZygDmrpY+N012da3NEazSwLeUsK+OP1Yh5PiM4jIHXxTwv0lXwfdxhfow/RpnBHBGqh4sff+8whF6u/vd8/veCv9L9W6LhkER4I/JXvIgLdAWsSlpNRN7xWze+B7jJy/m3VyTWMiO/F/qwtjAQAQGFoEAhU6AQFLSza8sgtwF0dKhjaEFRBN1RxPLVULEDS3QSwQGsJiFYP4ygCLrrczGaKsgqjyC9dC/pZfvRGq/GaxZQ4GbVEy+bQXjZDLztBbHZ2hy+T1xhCT8ZYO3PnKDH8bOuW1QZUayojPay+rpoLz4IVlMr/d6bt69oY2F2MYmrdDE5WOlicl1CI0VIpbW7H6h6IAj151euNxaTqz1DofYiGoU7TuoO2CkD6uR6VKSrILmsynqeX+0nvazQ4l9cGwLgaeVQ6d5S9XPViu6gskIURY7nXOHH+GPsSY+x9Odv48yM4DAm+nXFph6zWjZXbpT909fGiWlBvRjt3ZGNSaf5LvawJXlWR0cv/tFhCP3cg1v0m4O/4v1bov6RRHgj8le+iKMKTrMlbRsVxgoUghyFTIFckJvFryBHft2+QqjclymQV7Wp3Fdcuy8okMuq9hWWvi3HV5XLru6rdfvQlLxinpjjMmSaQfVyjqKpAMo3mAWnMfFqhbKb2fqrGY0gNExCClE0ka89S1rpHtJL91GsT6xW76gKwcvG7LbioGp705ulKIocyDnEL0lrKDOWIRfkjPV6gHGtxqCU3bm7i6Vf/SXE8jVQvhHEKv/hqggwD4Oqr2QdvwWiKQ+0hxF1B83W7houJm6g6ldp7b6vXh9wyg3Z5FZEklsRSU55JIW6WKB6dB25oMFB3Q4ndQiOqhAc1R2wUwUgE+ruU60zGUkrK6jdzaU0n7JawyxexUGpwUapIq2syFLWzz2YGcFh9PdofddZQ1sqqWUF/JJwnLWXT1FYS7ba1nZuPN9hMMO86r4upTnxV75/S9QfkghvRKSLuOlgKnoHylaZw+y5bkKQ1y10oiiKoI8yx/Wu2AaYX80i2IBmgtnqrQypv4nfJsW6K5UW8r3kVpyGayyJ1govs4XcehCuVt1u6EdeoCtgxZWfOJUfCYC3VSvmBD5OsO3dWfFFsRzKw82CXB95tULuh2D1sPltgfzOM4u2RERRB7pTlaL7UC0ZU9Wg6o2gvq/SxeTmD1i3P65IiT6J3IpT5FREkVseSakhuUY7G4UvTpoOlBuyKNBexCjWdCuRCxocVG1wVHfAUR2CkzoEO1XQXQnza+eZqy2t5uZypSSP1PJU8vWZiLIibFU6rBR69CY5jgo3ejp3pJtzBwJs/HBSSmE2b0WZQcfW5GhWxh8jrjgbPxtnngsZxGifjtVcVFo60v1boj6QRHgjIl3ETQdR1CLmTjX7zSp7Ijj/iHAHokA0lUDFFrP4Nly8WqFoj2A9DTRjm0zK7gpDHhll+0kv3UtW+bFqfuRKmR2e1v3xshmEh/V9KK9LziOKIsfzT/Dj5VUUG4oREBjpOZxJ3hNRy+/+9b2ov1hpHd8EYknVrEAzDMGqKj76X0ckiaIB9OfM7ky6Y6A/CdcLW0X7a1xMetaLi4lJNFCou0RueSQ5FZHkVkRVc28yI+CgaourVTdcNN1w0YRipbi6cE8UjZTok8jXXqBAe54C7QX+v707D4+6uhc//v7OlsxMQhZCEpYQSCTseyDVKpbd1mJLNYqVInKRivRy+1ME1AouyCJ1KderXB4fDFVa0StWpNgiKuhTAlEhZZE1EUggJCGQZTIzme38/phkIEwCqDiThM/reeZJ5pwz3/nMPITvZ858vudU1h3Co4I3J9JpEfWJuT8pj43oQztT2ne6sLjSVUlBbSEFtm8osBVwrPYYTl/wWutNiTZE082aSldLV7pZu5JqSSUxosM19W/uSimlKHPW0D4iqsUvNflDkPO3uBokCQ8j+SNuWZTnGKpion9LeOtMdNH/7/KPcX/tLzdxfnDBVvIRYL4VzXy3f0OgFnwC9/gclDl2UFK7jZLabbh8lYE+HUY6mIcF6sgvTLBq3DWsPfEWuRU7AEiKSGRa96n0atfzqsSlfHZwbvLX0bv3nO/Qd6tfMz14p9C2QCmf/0OcayfKtcNf1x34MFJPl3BRiUmH7/28Xp+Ts3X7OOPYRYVzN2ede/Aoe+On1UzERfQlIXII7SMH0T5y4Le62Bf8r8/mLgok5efqDlDpOojHZwsaq9NMgcS84RZjuq5RYu7yuThWe5xCWyFHawsptBVS4TobdKxIXQTdrd1Jj0ojPSqNrpYUzrrOcaz2OMftxzlWe4JTjlOBDbcuZNGb65Py1MDPjpHJ3+n6ENF2yPlbXA0tPgnPy8tj5cqVHDhwAKfTSc+ePZkyZQo/+9nPvvMxP/jgA+bMmcOECRP44x//GNSfk5PDkiVLmn38/fffz5w5cxq1HThwgJdffpl///vf1NTU0L17d+666y4mTZrUbBImf8Qtj3JsRFU9BGhocavRIn4cPCZQPvFXcP/7fIe+u3+FE/NENF1M6IK+SpTyUuHcEyhbsblPNOqPi+gbKFtpZ/JfdJVf+W9yvnmDc+5zAIxM/Al3pdyBWf/9dm9sFJf7a5R9HTg3XPBBxwiR4/219cZhLfqDzqUopcBbAHX1M92uncGbImnt/KuYmK4HU9ZVKTFxeauocOb7Z7kduzhXdwCFp9EYoy6K+MhBJEQOJiFyCLGRfdD/ANvRK+Wj1l0USMgr62fO3U0k5hoG9PpOOHyxnK7TcczhotJjwnfBqkYaGp3NnUiPSiPNmsZ1UWl0Mne6bNLs8rkotp8MJOXH7ccpthfjVp6gsSadia6WFFItqaRau9LN0pXO5s4YdG1r/XDRPDl/i6uhRSfhGzZsYO7cuRgMBrKystDr9eTm5uJyuZg1axazZ8/+1scsKSnhtttuo7q6utkk/JFHHmHDhg385Cc/ITo6eKZn1KhRjT4E7Nixg/vvvx+Px0NmZibR0dHs2LGD2tpaJk6cyNKlS5uMRf6IWyZf1RPgWAe69mjt3w+sZa08Bf5k0LEeVMNFXUaIHOuf9TYNb7XJ4MWUUtS4v/En5LVbOVu3t1G/1dAlcGGn2ZDBO8V/Y2v5NsC/lOPUblMYGNv/6sbkqwXn3/3fPHj2ne/Qp9XPjv8STdeyl5PzJ91F9eUlO/xJt6+88SDN4i+JivgRmH4Eht7fe3Mju7ukvqxkNxWO3VS7C4LGROo71JeWDCEhcnD9B63wbKqklKLceZgj1Z9T6sjH7i7AyBmMuuCE2Kc0PMQTYehGknkg3aNvIDGyH3rd9y/L8fg8nHKWcLz2OMftJzhWe5wT9iLqmihv0Wt6upi7BMpYullT6WLufFXKtETLI+dvcTW02CT8zJkzjB49Gp1Ox5tvvknfvn0BKCgoYMqUKVRUVPDuu+8G2q+EUop7772XnTt3AjSbhP/85z/n6NGjfPnll0RFXbqO1+VyMWrUKM6ePcurr77KzTffDEBZWRn33nsvhYWFvPzyy4wdOzbosfJH3DIp5URVZPu37jb9CM18l78swrXz/CB9l/qLBm+/JpbUc3rOUHJBHblPuQJ9Jl0syZYb8ep68O6pPZTW+WfFb2h/Pfd0nUSU8erXwiv3/voyoI0XzI6bIPIWf0JuzGwxH4iUt8SfdNc1JN2nLhoRAabB9TPdPwJjP7TvUAsdeD7lo8b9TX1pST5nnLtweIJ3NI0ydiMhcjDtzf6ZbouhU9jeM4/PQ5G9uL6W238rrSu9aJSind7HdVYLHU0Kq74Kr68Yjy94Z04NA+1MafVlLH2Ii+hNjKkHet33X43Ip3yUOss4Zj9en5wf53jtCWq99qCxGhqdzB0DSXmqpSup1q5X9ZsiER5y/hZXQ4v97mzt2rU4nU5mzJjRKNFOT0/noYce4rHHHmPNmjU899xzV3zM119/nZ07dzJs2DC++KLpdaqdTieFhYV069btsgk4+Gfry8vLufXWWwMJOEBiYiILFy7k3nvvJScnp8kkXLRMmhYJsS+hKm4/P2MJgA4iRl6TW69HGhLo3u5XdG/3Kzw+O6X2XEpqt3La/jkuXyUnbBsBuCHKhDs6hb01br46+xn7qvYzpds9DIvPvKrxaMa+aDHPoKLngXNj/ez41+DcgHJuAMN1YG6YHQ9taZB/Z8od+Fw7wLUDzdu4rEehx6nrhU3Xj2qtN1V0w+XT4Xa4cdeew+37BI/y4Pa5/TflxlX/u0d5iNCZMOstWAxmrHoLkTojBq0cn/cYdZ4j1LoO4lGNE1MNPbERvepruYeQYB5EhD48NfVKKSpcFYELJwtqv+F47XHcKnhpwaSIpEAdd7o1jRRLl0YlH0opHJ6S+os/DwQuAnX5KqlyHabKdZjjNe8D/vcguj4xj4voS2r0BAy6b58M6zQdHc3JdDQnc337rEAcZ1wVHK89Xp+c+8tZqtzVnHSc4qTjFNsrci94XYmkWlPpZulKan1yHm38dvX1QojWr8Um4du2+b/aHjNmTFDfmDFjePzxx9m6desVH+/QoUO8+OKLjBw5knHjxjWbhB86dAiv13vFM+yXinP48OHExMTw1VdfUV1dTbt27a44XhFemiEd2j2DqnrEfyGcORvNcieavmO4Qws7g85C56jRdI4ajU95qHDm15etbKPWU4xeFTAoCpSCcx4r/yw+zJcV19Mn5uYmZlqb/iKuua/nmv7irhOo3xOlHaOj+pxEdqL3HEXVPIu35jnKyaREG0E16aBpl3xOj8+DW7nPJ8D1SbD/d3+fJ5AY+xNlAzZSDCWkGUtJN52hk9Ffy9zwSn0KvnFFc9AZw4G6WI7UtcOl9MCp+tu3o8dLvLGW9gYb8UYbcYZaDFrj1+RROs55rFR5YnCoDrhJIrKuHZZaAxbDUSz6U5j1ZiwGCxa9GYvecsH9+jaDBaNm/N6z4w6vg2O1xzlqK6DQVkhBbSFV7uqgcVa9hbT6ZDs9Ko20qO5EGS49EaJpGhZjJyzGTnSO8s9M+hPz04HEvNLl/1nnPUu16wjVriOcqNlArbuIAQkPf6/XdmEcHSIS6BCRQGb80EB7pasykJQfsx/nRO0JzrgqKK0ro7SurNGmZfGm+EBS3s2SSoolhQidCR8+fMp3/qdSF/zub1cXt1/U71PKP+Yyx1JNtQc9lwr8btAM3NzhJtpHyBKiQnwXLTIJV0px9OhRAHr06BHUHxMTQ0JCAuXl5ZSWlpKUlHTJ47lcLubMmYPVamXRokV89tlnzY7dv39/4DkWLFjAv/71L8rKyujcuTMTJkxg+vTpREScr/E7cuRIs3HqdDrS0tLYvXs3R44cYejQoUFjRMulmSeA6QbQtfte5QFtmU7z78TZwZxJ//YPU+0qoMS+lVO1n1JZ9zXxxlrijbXAu5RVr8fhM+HwmrD7TDh8Rv99nwm71//zwgvsvqtIbSjXW8v4SdRpuppqSSaXZJVLscvCVlsy22uTcKjv/l9fpOYhI6Ka/pGV9I6sJMVYi+6iPPWEy8oBZywHnDEcrovBRQRGzYhRZyTKaAz87r8Zzt/XDBh1OiI0F0bNgVGzo8eODhsaNaDO4fOd5uJNcTzKRI03jrOeaEpdEZxxm1BcGFRZ/e3b0Wv6Rkm5uT5hbzp599836owU2YsprC8tOek4hbrog49e05Ni7tJoljspMumqlMP4E/OOWIwd6Rw1CqhPzL1lgVVZat2nSIm65Xs/1+XEmmIZZIplUOzAQJvNbfPXlwfKWU5w2lnKWddZzrrOsqsy/weP62py+9zc1TU73GEI0Sq1yCS8qqqKuro6rFYrFoulyTGJiYmUl5dz5syZyybhL7zwAocPH2bFihUkJFy6fvfrr/3bc69du5b4+HgGDx5MUlIS+/fvZ8WKFXz22We8/vrrgbjKyvwntg4dml4mrKG9ouLiNXZFayCbxFw5TdOIibiOmIjr6BU3HYenjJLarRTW/IMq57/Raz6i9HVE6Ztfs9mrIvFgxaOseInCgxWvsuIhCi9WvJiBphM17YL2SuBvTkWyu5R+xn30MB6hi8nO5PhC7oo7wRFPD/a5+lHqS250PH8S3DhJjtQUHXTFJOoKiOcI7TiOdlES7NJSqDMMxmMcijJmEqvvwE06A6Pqj9OwModXuXB6ynF4Ss/fvKXYPSfr75f51+NWqtGEvaLx/L3F0LG+rMS/Pne0sXuj3UU9Pg8OrwO7147d68DusQfdt3vr2zz1bRfdVyi8ykuNp4YaTw1c2VLbTWpviictKo3rrGmkRaXRzZqKSXf1V1ppjqZpWAxJWAxJdLKODNnzNiXKGEXfmD70jekTaHN4HZywF/nLWWpPcNzeeMlEHTp0Wv0NDa3+Z0Ob1tAfGKc1esz5fu2C4zRxzAvbqT9O/e+N+/3Hj9BH8JMOI8L1VgrR6rXIJNzh8G9GYTY3X6/XMBtttwdfDHOh3NxccnJyuO222xg/fvxln7shCb/99tt58sknMZn8J4qioiJ+97vfkZ+fz/PPP88TTzxxRbFeaZxCtDVmQyJpMXeSFnMnPuXG4SnD7inB4TmNvf7mcJf4f3pO41F29JoTPU4itKY/tGoYsBiSMRuS/T+NyVgMHS9o69hkna/yVYPjfZRjHUbPYfoYD9DHeAAMPf01/pG3oen8NblKufxLTzZcTOnOBy6qV9Z3BVNW/cWUw4nUJ2JULpyeMuye01TXHQlKtAMJ9hXQaSbM+iTMhkTMhqQLbonERvTGYrj0jq4GnYFoXfR3rjNWSuH0ObF7HDi855P0pu5fnLw7vU6SI5P8pSVR3Um3phFriv1OcVwrzHozPaMz6BmdEWjzqfoEXNYjF6LNapFJuK5+960r+WrS5wveXKFBdXU1jz76KElJSYGk+XLWrl1LcXExaWlp6PXnL7xLSUlh6dKlTJw4kXfeeYe5c+cSERGBXq/H5/NdNtZLxSlEW6fTjFiNnbEaOzfZr5TC7atplKT7f5bg8JTW3y9D4aHWU0ytp7jZ5zLpYs4n6fWJucWYjNkwAEvMOCJ8ReB4B5ybwHMIVf0U1DyHihgLvgpwfQU4Gx1T6ZLwGgfg1KVTQyI2nwuHqxSHfQsOz19weE5T5zt3he+FyZ9Q65OCEmx/zImYdOHdPl3TNMx6c/0qHm1vU6TWQJJvIdq+FpmEW63+rbKdTmezY+rq/N+NNleuAvDUU09x+vRpVq9efcUXRZrN5ibruwF69+5NcnIyJSUlHDlyhH79+mGxWKiqqsLpdAZmzb9tnEJc6zRNw6Rvh0nfjtiIpnfd9CkPTk95owT9/O+ncXhKcPtsuHxVuFxVVLkONf1cGDAbEok2DKaz3kkSJ4hQZ/2bAdVzE0mViuOM18hpTx2V3hpge/2teTotwp9M6/3JdGR9CcSFybZJF9tilk8UQggRPi02CbdardTU1OB0OomMDF7btaEWOzExMagPYO/evWzcuJHY2FjWr1/P+vXrA33Fxf5ZtN27dzNnzhzS09OZOXPmFcWWkJBASUlJ4ANCUlISVVVVlJeXN5nol5f7N+JormZcCHFldJohcMFdc9zeGuyeUhz1CXrjGfXzs+l2zynsnlP4V6JWxOsi6aj3YlcaZ7x6apQGXLiCh4Zei6wvD0nGrL+4TKQhwY6RBFsIIcQVaZFJuKZp9OjRg/z8fAoKCoKWC6ysrOTMmTPExMQ0e1FmQw12ZWUlH3zwQZNjiouLKS4uZvjw4cycOZPS0lJWrFiBy+Vi+fLlTT6mqKgIIPC8PXr04PDhwxQUFJCent5orM/no7CwMPB6hBA/LKM+mhh9NDER1zXZr5QXh/eMP0l3n76gPr2Ek55yjIZo4sxJdNIHl4kYde0kwRZCCHHVtMgkHOCmm24iPz+fLVu2BCXhW7ZsQSnFiBHNX5WdlZXFoUNNfx29fv16Hn300aAdM6OiotiwYQMul4tp06bRu3fvRo/bunUrlZWVdOvWjZSUFABGjBjB3//+d7Zs2cK4ceMajd+5cydVVVUMGTJE1ggXogXQNH1glYz233/zRCGEEOI7a7FXftxxxx2YzWZycnLYtWtXoL2wsJCXXnoJgOnTpwfay8rKKCgoCJSpfBdWq5UJEyYA8Ic//IGzZ88G+o4dO8bTTz8NwKxZswLtY8eOJTExkY0bN7J58+ZAe3l5Oc8880xQnEIIIYQQQrTYmfDk5GQef/xxnnjiCSZPnkxWVhYmk4nc3Fzq6up4+OGH6dWrV2D8Cy+8wHvvvcfEiRNZunTpd37eefPmsW/fPvbt28e4ceMYMmQIXq+XvLw8XC4XU6dO5bbbbguMt1qtPPvsszz44IPMnj2bIUOGEBcXx44dO7DZbNx1112MHj36e70XQgghhBCibWmxSThAdnY2ycnJrFq1ivz8fPR6PX369GHatGlBpR9XS0xMDG+99RarV69m06ZN5ObmEhERwaBBg5gyZQpjx44NesyIESP4y1/+wv/8z/+wa9cuPB4P3bt35+677+b222//QeIUQgghhBCtl6aUUpcfJn4IDTPkH3/8cZgjEUIIIcSVkvO3uBpabE24EEIIIYQQbZUk4UIIIYQQQoSYJOFCCCGEEEKEmCThQgghhBBChJgk4UIIIYQQQoSYJOFCCCGEEEKEmCThQgghhBBChJgk4UIIIYQQQoSYJOFCCCGEEEKEmCThQgghhBBChJgh3AFcy8rKyvB6vYHtb4UQQgjR8pWUlKDX68MdhmjlZCY8jCIiIjAY5HOQEEII0ZoYDAYiIiLCHYZo5TSllAp3EEIIIYQQQlxLZCZcCCGEEEKIEJMkXAghhBBCiBCTJLyNycvLY9q0aVx//fUMHjyYSZMmsWnTpnCH1ar4fD7WrVvHXXfdxZAhQ+jfvz/jx49n+fLlVFdXhzu8VsvlcjFhwgR69uzJ8ePHwx1Oq3L69GkWLFjAyJEj6devHz/+8Y+ZM2cOJ06cCHdorcqmTZuYNGkSgwcPpn///tx66628/PLL1NXVhTu0Fi8vL49evXrxzjvvNNlvs9l48cUXueWWWxgwYAAjRoxg4cKFVFRUhDhSIVoPqQlvQzZs2MDcuXMxGAxkZWWh1+vJzc3F5XIxa9YsZs+eHe4QWzyfz8fs2bP56KOPMJvN9O/fH4vFwp49ezh79iypqan85S9/ISEhIdyhtjpLly7l9ddfB2Dz5s2kpqaGOaLW4euvv+a+++6jsrKS9PR00tLSOHjwIEVFRcTFxfHuu+/SuXPncIfZ4j3//POsWrUKo9FIZmYmkZGRfPXVV1RXVzNw4ED+/Oc/ExkZGe4wW6TCwkKmTJlCeXk5ixYtIjs7u1G/zWZjypQp7N+/n65du9K7d28OHz7MN998Q1JSEm+//TbJyclhil6IFkyJNqG8vFwNGDBADRo0SO3bty/QfvToUXXDDTeonj17NmoXTXv77bdVRkaGGj9+vCoqKgq019TUqN/+9rcqIyNDzZ49O4wRtk7bt29XPXv2VBkZGSojI0MdO3Ys3CG1CnV1deqWW25RGRkZ6n//938D7R6PRz355JMqIyNDzZw5M4wRtg4HDx5UPXv2VMOHD1eHDx8OtJ87d0794he/UBkZGWrVqlVhjLDl2r59u7r++usDf7tvv/120JjFixerjIwMNXfuXOV2u5VSSnm93kD7Aw88EOqwhWgVpByljVi7di1Op5PJkyfTt2/fQHt6ejoPPfQQSinWrFkTxghbh/Xr1wMwf/58unTpEmiPiopi8eLFaJrGxx9/jNPpDFeIrU51dTWPPvooqampdOjQIdzhtCr/+Mc/KCwsZPz48cyYMSPQrtfrmTt3Lp06deLkyZN4vd4wRtnybd++HaUUP/3pT+nRo0egPTY2lunTpwPwxRdfhCu8FqmiooInn3ySadOmUVVVRadOnZocZ7PZePvttzGbzTz22GOBZXd1Oh1z584lJSWFTz75REqnhGiCJOFtxLZt2wAYM2ZMUN+YMWPQNI2tW7eGOKrWJyYmhrS0NAYOHBjUFx8fT0xMDG63m3PnzoUhutbpqaeeoqysjOeeew6TyRTucFqVf/7znwBMnTo1qM9sNvPpp5/y/vvvy6Yhl6FpGuCvrb/Y2bNnAf/fvjhv5cqV/PWvf6Vr166sWbOGrKysJsfl5eVht9vJzMwMeg/1ej0jR44EkPOPEE2QJLwNUEpx9OhRgEazPA1iYmJISEigqqqK0tLSUIfXqqxcuZIPP/yQuLi4oL4TJ05QWVmJ0WgkPj4+DNG1Phs3bmTjxo3MmDGjyQ824tL279+PTqejX79+lJWVsXr1ap544gmWLVtGXl5euMNrNW666SY0TePTTz/lT3/6E+Xl5dhsNjZt2sSKFSswmUz85je/CXeYLUpKSgoLFy5k48aNZGZmNjvuUucegOuuuw6Aw4cPX/0ghWjlZLvGNqCqqoq6ujqsVisWi6XJMYmJiZSXl3PmzBmSkpJCHGHb8MILLwAwcuRI2SntCpSUlPDUU0/Rt29fZs2aFe5wWh2Xy0VJSQlxcXFs27aNefPmUVtbG+hfvXo1EydOZNGiRbLz7mWkp6ezaNEinn32WV555RVeeeWVQF+PHj1YvHgxAwYMCGOELc+UKVOuaFxZWRngP8c0paEE7cyZM1cnMCHaEJkJbwMcDgfg/3q6OQ1Jo91uD0lMbU1OTg4ffvghZrOZ3//+9+EOp8VTSjFv3jycTifLli3DaDSGO6RWx2azAf6/2Yceeogbb7yRv//973z11VesXLmSpKQk3nvvPVasWBHmSFuHoUOHcuONNxIZGcnw4cO58cYbadeuHUePHmXNmjW4XK5wh9gqNZxTmltZpqFdzj1CBJPpkzZAp/N/lmqoe7wUn8/3Q4fT5uTk5LBkyRI0TePZZ58lPT093CG1eK+//jo7d+5k3rx5zX5NLS6tISmsq6tj+PDhjZLtkSNHkpCQQHZ2Njk5OUyfPp127dqFK9QWb8+ePdx3330kJCTw/vvv061bNwDOnTvHnDlz2LhxI3q9nueeey68gbZCDdcjXO78o2Q1ZCGCyEx4G2C1WgEuuWJHw2YUzZWriGBKKZ577jmWLFmCXq9nyZIl3HrrreEOq8U7dOgQL774IsOGDWvygkJxZS6cWbznnnuC+vv370///v2pq6tj9+7doQyt1Vm8eDE2m41nnnkmkIADxMXFsXz5cqKiovjggw84efJk+IJspRrOKc2dfxra5dwjRDCZCW8DrFYrVquVmpoanE5nk18LXq5uTzTmdDp55JFH2Lx5M5GRkTz//PNNrjwjgr3wwgu4XC40TWPu3LmN+hpWlVm2bBkWi4WZM2fKNwvNiI6Oxmg04na7Gy2XeaHOnTuzZ88eWa3nEpxOJ/n5+URGRjZ5gWF8fDz9+/cnNzeXgwcPysZH31LDNUbN1XyXl5cDyPKkQjRBkvA2QNM0evToQX5+PgUFBY3WCQeorKzkzJkzxMTEyEWZV8BmszF9+nR2795NfHw8K1eulJU9voWG2s9Lrd7x8ccfA5CdnS1JeDP0ej3p6ekcPHiQ0tJS+vXrFzSmIfFp3759qMNrNWpqalBKodPpAqV7F2soqXC73aEMrU1oKDdrWCXlYkeOHAEgIyMjZDEJ0VpIOUobcdNNNwGwZcuWoL4tW7aglGLEiBGhDqvVcbvdzJgxg927d9O1a1fWrVsnCfi39MYbb3Do0KEmbw2zjJs3b+bQoUPNrj0s/G6++WYANm3aFNRXUVHB/v37MZlM8m/0Etq3b09sbCx2u73JDXlqamrYt28fAL179w51eK1eZmYmFouFvLw8ampqGvV5vV4+/fRTNE0LnKOEEOdJEt5G3HHHHZjNZnJycti1a1egvbCwkJdeegkgsDOcaN7LL7/MV199RYcOHXjzzTfp2rVruEMS17BJkyZhsVjYuHEj77zzTqDdbrfz+OOPY7fbmThxolyUeQk6nY4777wTgAULFjSq+7bZbDz66KNUVlZy8803k5qaGq4wWy2z2cztt99ObW0tCxYsCFxQrJRi+fLlFBcXM2bMGLp37x7mSIVoeTQllyy3Ge+88w5PPPEEOp2OrKwsTCYTubm51NXV8fDDDzfa9loEO3fuHCNHjsThcNCrV69Lruoxf/58EhISQhhd2zBq1ChOnjzJ5s2bJeG5Qps3b+ahhx7C7XaTkZFBly5d2Lt3L+Xl5fTq1Ys333yT6OjocIfZorlcLmbMmEFubi5Go5Hhw4djMBgC9fRpaWm88cYb8jd9CfPnz+e9995j0aJFZGdnN+qz2WzcfffdHD58mM6dO9OvXz+OHDlCYWEhnTt35q233pLrkYRogtSEtyHZ2dkkJyezatUq8vPz0ev19OnTh2nTpjFu3Lhwh9fiffHFF4E11w8ePMjBgwebHfuf//mfcsIWITFu3DjeffddVq5cyc6dOzl27BidOnXizjvvZPr06bLqxBUwmUy89tprrFu3jr/97W/s3r0bj8dDSkoKd999N//xH/9BVFRUuMNstaKioli7di2vvvoq//znP/n0009JSkri17/+NQ8++KBclClEM2QmXAghhBBCiBCTmnAhhBBCCCFCTJJwIYQQQgghQkyScCGEEEIIIUJMknAhhBBCCCFCTJJwIYQQQgghQkyScCGEEEIIIUJMknAhhBBCCCFCTJJwIYQQQgghQkyScCGEEEIIIUJMknAhhGgFdu7cSc+ePbn77rvDHYoQQoirQJJwIYQQQgghQkyScCGEEEIIIUJMknAhhBBCCCFCTJJwIcQ1Z/v27dx///1kZWXRv39/fvrTn/Lf//3f2O32wJji4mJ69uzJb3/7W4qLi5k1axaZmZkMGzaMqVOnkpub2+SxnU4nr776KhMmTGDAgAEMGTKEX//612zYsKHZeHbu3MmDDz7IjTfeyODBg5kwYQKvvvpqo3guVFhYyOzZs8nKymLgwIH86le/4v333/9+b4oQQoiQ0pRSKtxBCCFEqKxatYrnn38eo9FIv3796NChA/n5+ZSVldG7d2/WrFlDTEwMxcXFjB49mr59+1JeXo7NZuNHP/oRNTU1fPnll2iaxtNPP012dnbg2OfOnWPKlCkcPnyY2NhYMjMzcTqd5OXl4XK5+OUvf8nSpUvRNC3wmNdee40//vGPaJrGkCFDiIuLIz8/n/LycoYOHUpOTg4mk4mdO3cyZcoUEhMTsdvtREREMHjwYEpLS9m7dy8ACxYs4J577gn5eyqEEOI7UEIIcY3Izc1VPXv2VCNGjFAHDhwItNfV1an58+erjIwM9fDDDyullCoqKlIZGRkqIyNDjRs3TpWUlATGf/LJJ6pPnz5q4MCB6tSpU4H23/3udyojI0M98MADymazBdqPHTumRo8erTIyMtSf//znQPuePXtUr1691JAhQ9SXX34ZaLfb7Wry5MkqIyNDrV69Wiml1I4dOwLxzJo1SzkcjsD4lStXqoyMDDVq1Kir+G4JIYT4IUk5ihDimvHaa6+hlOLxxx+nV69egXaTycTChQtJSEhg06ZNlJaWNnrckiVLSE5ODtwfOXIkd955Jw6Hg/Xr1wNw8uRJNm/eTHR0NMuXL8dqtQbGp6amsnjx4kAMDdatW4fP5+OBBx5g6NChgXaz2cz8+fPp2rUr5eXljWLR6/U888wzREZGBtqmTp2KTqejuLgYm832fd4iIYQQISJJuBDimuD1evnyyy8ByMrKCuqPjIwkMzOz0TiATp06MWTIkKDxY8eOBWDHjh0AfPHFFwDccMMNREVFBY0fPnw4HTp04PTp05w4cQKAvLw8AEaNGhU0vm/fvnz00UfMnTu3UXu3bt2Ii4tr1BYREUF8fDwANTU1Tb18IYQQLYwh3AEIIUQoVFZW4nA4AH9CfCklJSUMHDgQ8M9iN6VhZrysrKzRz86dOzd73C5dulBeXk5ZWVmjWe5OnTpd8eto165dk+16vR7wf9gQQgjR8kkSLoS4JjQkpyaTifHjx19y7IWJd0NyezFVf027wXDl/41eGAOAx+O54sc2uPCiTiGEEK2XJOFCiGtCbGwsRqMRj8fD4sWLA4lwc4qLiwGC6sMbnDp1Cjg/I56YmAj4a8Mvd8yEhAQAOnTowMmTJzl9+jTdu3cPGv/WW2+RmJjYZLmKEEKI1k1qwoUQ1wSTycSgQYPw+Xx8/vnnQf1KKX7zm98wadIk9uzZE2g/evQoRUVFQeM/+ugjAG666SYAhg4diqZp/Otf/2ry4sgdO3Zw9uxZunTpEig/aag137ZtW9D4goICFi5cyJ/+9Kfv8GqFEEK0dJKECyGuGVOnTgXgmWee4euvvw60+3w+XnrpJfLy8iguLm60copSiscee6xRYr1lyxb+7//+j9jYWH7xi18AkJKSwujRo7HZbDzyyCPU1tYGxhcVFfGHP/wBgMmTJwfa77nnHjRN45VXXmkUT21tLU8//TQAt91221V8B4QQQrQUUo4ihLhmjBkzhmnTprF69Wqys7Pp27cviYmJHDx4kKKiIsxmMytWrGhUqmKxWDh48CBjx45l2LBhlJeXs2vXLiIjI1m2bFmjlUqefvppjh07xieffMLo0aPJzMzE4XAENuv5+c9/zr333hsYP3jwYP7rv/6Ll156iezsbDIzM7FareTn51NRUcGPf/xj7rvvvpC+R0IIIUJDknAhxDVl3rx5DBs2jLVr17J3714OHDhAx44dueOOO5gxY0bQaijR0dGsXr2aZcuW8fnnn2M2m7nllluYOXNmoxlzgPbt27Nu3TpycnL48MMP+eyzzzCbzQwePJhJkybxs5/9LCiemTNn0qdPH9asWcPevXtxOBx06dKFyZMnM336dHQ6+cJSCCHaItm2XgghmtCwbX1SUhKfffZZuMMRQgjRxsgUixBCCCGEECEmSbgQQgghhBAhJkm4EEIIIYQQISY14UIIIYQQQoSYzIQLIYQQQggRYpKECyGEEEIIEWKShAshhBBCCBFikoQLIYQQQggRYpKECyGEEEIIEWKShAshhBBCCBFikoQLIYQQQggRYpKECyGEEEIIEWKShAshhBBCCBFi/x/kAEva2excTgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = sbnn_plot.plot_history_group(history,'val_loss',\n",
    "                                  col_format_func = lambda x:f'{float(x):.1%}',\n",
    "                                  ylabel = 'Loss (validation)',\n",
    "                                  leg_title='down rate')\n",
    "fig.savefig(Path(setup.temp_path).joinpath('30_PLOT_hostory_val_loss.png'),\n",
    "            bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "0c6acda4-3326-4ece-9ae9-8fc784e9475f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = sbnn_plot.plot_epoch_agg(history,\n",
    "                               xformatter = ticker.PercentFormatter(1),\n",
    "                               ylabel='# Epochs',\n",
    "                               xlabel='downsample rate')\n",
    "fig.savefig(Path(setup.temp_path).joinpath('30_PLOT_hostory_epochs.png'),\n",
    "            bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b5334471-c99c-44c5-9e2b-4c1b6e602b4a",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "tf_p39",
   "language": "python",
   "name": "tf_p39"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.18"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}