notebooks/other/inputs_SleepEDF-MASS.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Dataset: **Sleep-EDF Expanded**  \n",
    "https://physionet.org/content/sleep-edfx/1.0.0/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# !pip install mne pyedflib seglearn tsfel tsfresh antropy plotly-resampler tsflex powershap --upgrade"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "import sys\n",
    "\n",
    "sys.path.append(\"../../src/\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Load data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(62767, 366)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_feats = pd.read_parquet(\"../../features/mass_SS3_features_ALL__ext.parquet\")\n",
    "df_feats.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Sleep stage 2    29802\n",
       "Sleep stage R    10581\n",
       "Sleep stage 3     7653\n",
       "Sleep stage W     6442\n",
       "Sleep stage 1     4839\n",
       "Sleep stage ?     3448\n",
       "Name: label, dtype: int64"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_feats[\"label\"].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "DatetimeIndex: 62767 entries, 2000-01-01 21:28:00.010000 to 2000-01-02 07:14:30.010000\n",
      "Columns: 366 entries, EEG C4-LER - EEG O1-LER__TotalAbsPow__w=1m30s_s=30s to patient_id\n",
      "dtypes: float32(363), object(3)\n",
      "memory usage: 88.8+ MB\n"
     ]
    }
   ],
   "source": [
    "df_feats.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(62767, 396)"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sigs = list(set(c.split(\"__\")[0] for c in df_feats.columns))\n",
    "eeg_signals = [d for d in sigs if \"EEG\" in d]\n",
    "bands = [\"alpha\", \"beta\", \"sdelta\", \"fdelta\", \"sigma\", \"theta\"]\n",
    "for eeg_sig in eeg_signals:\n",
    "    eeg_bands = [c for c in df_feats.columns if c.startswith(eeg_sig) and c.split(\"__\")[1] in bands]\n",
    "    windows = sorted(set(b.split(\"__\")[-1] for b in eeg_bands))\n",
    "    for window in windows:\n",
    "        # Select the spectral powers\n",
    "        delta = df_feats[\"__\".join([eeg_sig, \"sdelta\", window])] + df_feats[\"__\".join([eeg_sig, \"fdelta\", window])]\n",
    "        fdelta_theta = df_feats[\"__\".join([eeg_sig, \"fdelta\", window])] + df_feats[\"__\".join([eeg_sig, \"theta\", window])]\n",
    "        alpha = df_feats[\"__\".join([eeg_sig, \"alpha\", window])]\n",
    "        beta = df_feats[\"__\".join([eeg_sig, \"beta\", window])]\n",
    "        theta = df_feats[\"__\".join([eeg_sig, \"theta\", window])]\n",
    "        sigma = df_feats[\"__\".join([eeg_sig, \"sigma\", window])]\n",
    "        # Calculate the ratios\n",
    "        df_feats[\"__\".join([eeg_sig, \"fdelta+theta\", window])] = fdelta_theta.astype(\"float32\")        \n",
    "\n",
    "        df_feats[\"__\".join([eeg_sig, \"alpha/theta\", window])] = (alpha / theta).astype(\"float32\")\n",
    "        df_feats[\"__\".join([eeg_sig, \"delta/beta\", window])] = (delta / beta).astype(\"float32\")\n",
    "        df_feats[\"__\".join([eeg_sig, \"delta/sigma\", window])] = (delta / sigma).astype(\"float32\")\n",
    "        df_feats[\"__\".join([eeg_sig, \"delta/theta\", window])] = (delta / theta).astype(\"float32\")\n",
    "df_feats.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "skip_cols = [\"psg_file\", \"label\", \"patient_id\"]\n",
    "feat_cols = [c for c in df_feats.columns if c not in skip_cols]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "131 131 131\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "(62767, 1051)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Add the 30s features from the minute before and the minute after the epoch (= current sample of 30s) to the epoch\n",
    "feats_30s = [f for f in df_feats.columns if \"w=30s\" in f]\n",
    "feats_60s = [f for f in df_feats.columns if \"w=1m_\" in f]\n",
    "feats_90s = [f for f in df_feats.columns if \"w=1m30s\" in f]\n",
    "print(len(feats_30s), len(feats_60s), len(feats_90s))\n",
    "dfs = []\n",
    "for psg_file in df_feats.psg_file.unique():\n",
    "    sub_df = df_feats[df_feats.psg_file == psg_file]\n",
    "\n",
    "    sub_df = sub_df.merge(\n",
    "        sub_df[feats_90s].shift(1).add_suffix(\"_shift=30s\"),\n",
    "        left_index=True,\n",
    "        right_index=True,\n",
    "    )\n",
    "    sub_df = sub_df.drop(columns=feats_90s)\n",
    "\n",
    "    sub_df = sub_df.merge(\n",
    "        sub_df[feats_60s].shift(1).add_suffix(\"_shift=30s\"),\n",
    "        left_index=True,\n",
    "        right_index=True,\n",
    "    )\n",
    "\n",
    "    sub_df = sub_df.merge(sub_df[feats_30s].shift(2).add_suffix(\"_shift=1m\"), left_index=True, right_index=True)\n",
    "    sub_df = sub_df.merge(sub_df[feats_30s].shift(1).add_suffix(\"_shift=30s\"), left_index=True, right_index=True)\n",
    "    sub_df = sub_df.merge(sub_df[feats_30s].shift(-1).add_suffix(\"_shift=-30s\"), left_index=True, right_index=True)\n",
    "    sub_df = sub_df.merge(sub_df[feats_30s].shift(-2).add_suffix(\"_shift=-1m\"), left_index=True, right_index=True)\n",
    "    dfs += [sub_df]\n",
    "df_feats = pd.concat(dfs)\n",
    "df_feats.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "DatetimeIndex: 62767 entries, 2000-01-01 21:28:00.010000 to 2000-01-02 07:14:30.010000\n",
      "Columns: 1051 entries, EEG C4-LER - EEG O1-LER__TotalAbsPow__w=1m_s=30s to EEG F4-LER - EOG Left Horiz__delta/theta__w=30s_s=30s_shift=-1m\n",
      "dtypes: float32(1048), object(3)\n",
      "memory usage: 252.8+ MB\n"
     ]
    }
   ],
   "source": [
    "df_feats.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Postprocess labels\n",
    "df_feats.loc[df_feats[\"label\"] == \"Sleep stage 4\", \"label\"] = \"Sleep stage 3\"\n",
    "df_feats = df_feats[df_feats[\"label\"] != \"Movement time\"]\n",
    "df_feats = df_feats[df_feats[\"label\"] != \"Sleep stage ?\"]  # Label that is given when recording is done / end of the night\n",
    "\n",
    "df_feats = df_feats[~df_feats[\"label\"].isna()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(59317, 1051)"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_feats.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1048"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "skip_cols = [\"psg_file\", \"label\", \"patient_id\"]\n",
    "feat_cols = [c for c in df_feats.columns if c not in skip_cols]\n",
    "len(feat_cols)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "classes = [\n",
    "    'Sleep stage W',\n",
    "    'Sleep stage 1',\n",
    "    'Sleep stage 2',\n",
    "    'Sleep stage 3',\n",
    "    'Sleep stage R'\n",
    "]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": []
   },
   "source": [
    "# ML"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.impute import SimpleImputer\n",
    "from sklearn.metrics import (\n",
    "    accuracy_score,\n",
    "    classification_report,\n",
    "    f1_score,\n",
    "    cohen_kappa_score,\n",
    "    log_loss,\n",
    ")\n",
    "from sklearn.model_selection import GroupKFold, StratifiedGroupKFold, cross_validate\n",
    "from sklearn.pipeline import Pipeline\n",
    "from sklearn.preprocessing import QuantileTransformer\n",
    "\n",
    "from sklearn.linear_model import SGDClassifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "from visualizations import plot_linear_classification_coefs\n",
    "from visualizations import plot_learning_curve\n",
    "from visualizations import plot_confusion_matrix"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": []
   },
   "source": [
    "## The simple, linear pipeline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "### Create pipeline\n",
    "pipe = Pipeline(\n",
    "    [\n",
    "        (\"impute\", SimpleImputer()),\n",
    "        (\"scale\", QuantileTransformer(n_quantiles=100, subsample=200_000, random_state=0)),\n",
    "        (\n",
    "            \"linear_model\",\n",
    "            SGDClassifier(\n",
    "                loss=\"log\",\n",
    "                average=True,\n",
    "                class_weight=\"balanced\",\n",
    "                n_jobs=5,\n",
    "                random_state=0,\n",
    "            ),\n",
    "        ),\n",
    "    ]\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Grouped 10-fold results for all the data for varying inputs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "---------------------------------------- ['EEG'] ----------------------------------------\n",
      "nb. features = 592\n",
      "10-FOLD: TRAIN\n",
      "  MACRO F1:           0.8139\n",
      "  Balanced accuracy:  0.8234\n",
      "  Accuracy:           0.86\n",
      "  Log loss:           0.5149\n",
      "10-FOLD: TEST\n",
      "  MACRO F1:           0.79\n",
      "  Balanced accuracy:  0.8003\n",
      "  Accuracy:           0.8438\n",
      "  Log loss:           0.6051\n",
      "\n",
      "F1: 0.7925188317414837\n",
      "ACC: 0.8443279329703121\n",
      "KAPPA: 0.7737800043622998\n",
      "LOG LOSS: 0.6036221091587136\n",
      "\n",
      "               precision    recall  f1-score   support\n",
      "\n",
      "Sleep stage 1       0.53      0.53      0.53      4793\n",
      "Sleep stage 2       0.88      0.91      0.89     28580\n",
      "Sleep stage 3       0.89      0.80      0.84      8488\n",
      "Sleep stage R       0.86      0.84      0.85     10853\n",
      "Sleep stage W       0.86      0.84      0.85      6603\n",
      "\n",
      "     accuracy                           0.84     59317\n",
      "    macro avg       0.80      0.78      0.79     59317\n",
      " weighted avg       0.84      0.84      0.84     59317\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1800x864 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "\n",
      "\n",
      "---------------------------------------- ['EEG', 'EOG'] ----------------------------------------\n",
      "nb. features = 848\n",
      "10-FOLD: TRAIN\n",
      "  MACRO F1:           0.8207\n",
      "  Balanced accuracy:  0.8295\n",
      "  Accuracy:           0.8654\n",
      "  Log loss:           0.5383\n",
      "10-FOLD: TEST\n",
      "  MACRO F1:           0.7912\n",
      "  Balanced accuracy:  0.8015\n",
      "  Accuracy:           0.8449\n",
      "  Log loss:           0.6681\n",
      "\n",
      "F1: 0.7936749326949755\n",
      "ACC: 0.8453563059493906\n",
      "KAPPA: 0.7751524154579963\n",
      "LOG LOSS: 0.6669619221437528\n",
      "\n",
      "               precision    recall  f1-score   support\n",
      "\n",
      "Sleep stage 1       0.53      0.54      0.53      4727\n",
      "Sleep stage 2       0.88      0.91      0.90     28645\n",
      "Sleep stage 3       0.89      0.80      0.84      8488\n",
      "Sleep stage R       0.86      0.84      0.85     10778\n",
      "Sleep stage W       0.87      0.84      0.85      6679\n",
      "\n",
      "     accuracy                           0.85     59317\n",
      "    macro avg       0.80      0.79      0.79     59317\n",
      " weighted avg       0.85      0.85      0.85     59317\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1800x864 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "\n",
      "\n",
      "---------------------------------------- ['EEG', 'EMG'] ----------------------------------------\n",
      "nb. features = 792\n",
      "10-FOLD: TRAIN\n",
      "  MACRO F1:           0.8244\n",
      "  Balanced accuracy:  0.835\n",
      "  Accuracy:           0.8664\n",
      "  Log loss:           0.523\n",
      "10-FOLD: TEST\n",
      "  MACRO F1:           0.8014\n",
      "  Balanced accuracy:  0.8118\n",
      "  Accuracy:           0.8496\n",
      "  Log loss:           0.6324\n",
      "\n",
      "F1: 0.8034669948380418\n",
      "ACC: 0.8498912622013925\n",
      "KAPPA: 0.7819661522702983\n",
      "LOG LOSS: 0.6327476038529585\n",
      "\n",
      "               precision    recall  f1-score   support\n",
      "\n",
      "Sleep stage 1       0.55      0.55      0.55      4837\n",
      "Sleep stage 2       0.87      0.91      0.89     28540\n",
      "Sleep stage 3       0.88      0.80      0.84      8492\n",
      "Sleep stage R       0.87      0.85      0.86     10822\n",
      "Sleep stage W       0.89      0.86      0.87      6626\n",
      "\n",
      "     accuracy                           0.85     59317\n",
      "    macro avg       0.81      0.79      0.80     59317\n",
      " weighted avg       0.85      0.85      0.85     59317\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1800x864 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "\n",
      "\n"
     ]
    }
   ],
   "source": [
    "for inputs in [[\"EEG\"], [\"EEG\", \"EOG\"], [\"EEG\", \"EMG\"]]:\n",
    "    print(\"--\" * 20, inputs, \"--\" * 20)\n",
    "\n",
    "    feats_input = [f for f in feat_cols if f.split(\" \")[0] in inputs]\n",
    "    print(\"nb. features =\", len(feats_input))\n",
    "\n",
    "    ## Cross-validation\n",
    "    # Total of 10 folds\n",
    "    gkfold = StratifiedGroupKFold(n_splits=10)\n",
    "    cv = gkfold.split(df_feats, df_feats[\"label\"], groups=df_feats.patient_id)\n",
    "\n",
    "    res = cross_validate(\n",
    "        pipe,\n",
    "        df_feats[feats_input],\n",
    "        df_feats[\"label\"],\n",
    "        scoring=[\"f1_macro\", \"balanced_accuracy\", \"accuracy\", \"neg_log_loss\"],\n",
    "        cv=cv,\n",
    "        n_jobs=25,\n",
    "        return_train_score=True,\n",
    "        return_estimator=True,\n",
    "    )\n",
    "\n",
    "    print(\"10-FOLD: TRAIN\")\n",
    "    print(\"  MACRO F1:          \", round(np.mean(res[\"train_f1_macro\"]), 4))\n",
    "    print(\"  Balanced accuracy: \", round(np.mean(res[\"train_balanced_accuracy\"]), 4))\n",
    "    print(\"  Accuracy:          \", round(np.mean(res[\"train_accuracy\"]), 4))\n",
    "    print(\"  Log loss:          \", round(np.mean(-1 * res[\"train_neg_log_loss\"]), 4))\n",
    "\n",
    "    print(\"10-FOLD: TEST\")\n",
    "    print(\"  MACRO F1:          \", round(np.mean(res[\"test_f1_macro\"]), 4))\n",
    "    print(\"  Balanced accuracy: \", round(np.mean(res[\"test_balanced_accuracy\"]), 4))\n",
    "    print(\"  Accuracy:          \", round(np.mean(res[\"test_accuracy\"]), 4))\n",
    "    print(\"  Log loss:          \", round(np.mean(-1 * res[\"test_neg_log_loss\"]), 4))\n",
    "\n",
    "    preds = []\n",
    "    preds_proba = []\n",
    "    y_trues = []\n",
    "    cv = gkfold.split(df_feats, df_feats[\"label\"], groups=df_feats.patient_id)\n",
    "    for fold_ix, (train_idx, test_idx) in enumerate(cv):\n",
    "        X_train = df_feats[feats_input].iloc[train_idx]\n",
    "        y_train = df_feats[\"label\"].iloc[train_idx]\n",
    "        X_test = df_feats[feats_input].iloc[test_idx]\n",
    "        y_test = df_feats[\"label\"].iloc[test_idx]\n",
    "        \n",
    "        estimator = res[\"estimator\"][fold_ix]\n",
    "        preds += [estimator.predict(X_test)]\n",
    "        preds_proba += [estimator.predict_proba(X_test)]\n",
    "        y_trues += [y_test]\n",
    "\n",
    "    preds = np.hstack(preds)\n",
    "    y_trues = np.hstack(y_trues)\n",
    "    preds_proba = np.vstack(preds_proba)\n",
    "\n",
    "    print()\n",
    "    print(\"F1:\", f1_score(preds, y_trues, average=\"macro\"))\n",
    "    print(\"ACC:\", accuracy_score(preds, y_trues))\n",
    "    print(\"KAPPA:\", cohen_kappa_score(preds, y_trues))\n",
    "    print(\"LOG LOSS:\", log_loss(y_trues, preds_proba))\n",
    "    print()\n",
    "\n",
    "    print(classification_report(preds, y_trues))\n",
    "\n",
    "    plt.figure(figsize=(25,12))\n",
    "    ax = plt.subplot(1,2,1)\n",
    "    plot_confusion_matrix(y_pred=preds, y_true=y_trues, classes=classes, normalize=False, ax=ax)\n",
    "    ax = plt.subplot(1,2,2)\n",
    "    plot_confusion_matrix(y_pred=preds, y_true=y_trues, classes=classes, normalize=True, ax=ax)\n",
    "    plt.show()\n",
    "\n",
    "    print(\"\\n\\n\\n\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## The simple, catboost pipeline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "### Create pipeline\n",
    "from catboost import CatBoostClassifier\n",
    "pipe = CatBoostClassifier(verbose=0, depth=5, n_estimators=2_000, random_state=0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Grouped 10-fold results for all the data for varying inputs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "---------------------------------------- ['EEG'] ----------------------------------------\n",
      "nb. features = 592\n",
      "10-FOLD: TRAIN\n",
      "  MACRO F1:           0.8984\n",
      "  Balanced accuracy:  0.8846\n",
      "  Accuracy:           0.925\n",
      "  Log loss:           0.2142\n",
      "10-FOLD: TEST\n",
      "  MACRO F1:           0.8079\n",
      "  Balanced accuracy:  0.7991\n",
      "  Accuracy:           0.8625\n",
      "  Log loss:           0.357\n",
      "\n",
      "F1: 0.810120936708793\n",
      "ACC: 0.8628386465937252\n",
      "KAPPA: 0.7960458756032169\n",
      "LOG LOSS: 0.35622959130661075\n",
      "\n",
      "               precision    recall  f1-score   support\n",
      "\n",
      "Sleep stage 1       0.49      0.63      0.55      3708\n",
      "Sleep stage 2       0.92      0.89      0.91     30937\n",
      "Sleep stage 3       0.83      0.87      0.85      7337\n",
      "Sleep stage R       0.87      0.85      0.86     10757\n",
      "Sleep stage W       0.89      0.87      0.88      6578\n",
      "\n",
      "     accuracy                           0.86     59317\n",
      "    macro avg       0.80      0.82      0.81     59317\n",
      " weighted avg       0.87      0.86      0.87     59317\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1800x864 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "\n",
      "\n",
      "---------------------------------------- ['EEG', 'EOG'] ----------------------------------------\n",
      "nb. features = 848\n",
      "10-FOLD: TRAIN\n",
      "  MACRO F1:           0.9006\n",
      "  Balanced accuracy:  0.8868\n",
      "  Accuracy:           0.9271\n",
      "  Log loss:           0.2096\n",
      "10-FOLD: TEST\n",
      "  MACRO F1:           0.8069\n",
      "  Balanced accuracy:  0.799\n",
      "  Accuracy:           0.8629\n",
      "  Log loss:           0.3558\n",
      "\n",
      "F1: 0.8090889520214327\n",
      "ACC: 0.8631926766357031\n",
      "KAPPA: 0.7966434125388193\n",
      "LOG LOSS: 0.3549445349688092\n",
      "\n",
      "               precision    recall  f1-score   support\n",
      "\n",
      "Sleep stage 1       0.47      0.63      0.54      3653\n",
      "Sleep stage 2       0.92      0.89      0.91     30894\n",
      "Sleep stage 3       0.84      0.87      0.85      7366\n",
      "Sleep stage R       0.87      0.85      0.86     10770\n",
      "Sleep stage W       0.90      0.87      0.89      6634\n",
      "\n",
      "     accuracy                           0.86     59317\n",
      "    macro avg       0.80      0.82      0.81     59317\n",
      " weighted avg       0.87      0.86      0.87     59317\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1800x864 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "\n",
      "\n",
      "---------------------------------------- ['EEG', 'EMG'] ----------------------------------------\n",
      "nb. features = 792\n",
      "10-FOLD: TRAIN\n",
      "  MACRO F1:           0.905\n",
      "  Balanced accuracy:  0.8926\n",
      "  Accuracy:           0.9291\n",
      "  Log loss:           0.2023\n",
      "10-FOLD: TEST\n",
      "  MACRO F1:           0.8122\n",
      "  Balanced accuracy:  0.8043\n",
      "  Accuracy:           0.8641\n",
      "  Log loss:           0.3479\n",
      "\n",
      "F1: 0.8145567109204579\n",
      "ACC: 0.8643053424819191\n",
      "KAPPA: 0.7984620800762388\n",
      "LOG LOSS: 0.3474216873748187\n",
      "\n",
      "               precision    recall  f1-score   support\n",
      "\n",
      "Sleep stage 1       0.51      0.62      0.56      3960\n",
      "Sleep stage 2       0.92      0.89      0.91     30864\n",
      "Sleep stage 3       0.83      0.87      0.85      7324\n",
      "Sleep stage R       0.86      0.86      0.86     10603\n",
      "Sleep stage W       0.90      0.89      0.90      6566\n",
      "\n",
      "     accuracy                           0.86     59317\n",
      "    macro avg       0.81      0.83      0.81     59317\n",
      " weighted avg       0.87      0.86      0.87     59317\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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dmOv9n9Cej9OPE4jMDng+qLL8m9nrR8QaFIKoXkBzCu9xY+Z1XMBHKaVv51PnPxQyAn+TdYjOV0rpzYj4ikKwuCHwd+DQLGNiYwoZLz/F3J6z+Z3/heGn7LuMwljws1WduA3mPHeklOZ2PvsC51DISmkGLEohuJ2viGhHoaPrwJTS61lZUwpflHYHlqfwowYUfiz5bAE2Wy+vNaleNOAEL/OTdRjU1sD757HOmdSSdZb9yDTHeimlt/hxKBNJEpBSeikihgDHU/hBcLYFie9rxnwwZ9xX8/FKANmVkf8AtqGQSQywVEQ0TQs2keDVwGsppXOzx6sAiwDT4sfPuyZV2timRntrHltV7YB35vJdbEFi4Z/yvWdedqVwpeA52Q+8x6eUnq2lPe+l6leF/pLvYTD/czg7bl8RuITC956lKDzfn85n21D7/01VV1H4kfqslNLHC7A9Kd8acYxfV8zYlhq3Z4GZwM7zqDOVQvA228pZ2c/xFYUO4dlWqrowpfRQSmlLCpnLr1Lo8J1fe2a3qT7GL/0nhXatnlJaGjiB2jtHqkrzWpgNi3ExhYD51OxSzAX1OIVLG5tlWQ2PU7jkvSW1DOOyIO2pxbzOf7XzGRHVzufP2NeC7HsW1QPeX7KPWyj8oNAupbQM8C/mfz6rZu1cnFJ6oMqifShMuroFhSFDVp29ygK2dWG+1iRJkhqjUygM1VG1M3RB4vtfEvP9icJVbn2zGH728H0LEvcdD6xBYRi42d6j8B1quZRSi+y2dEqpS7Z8GtXnYFh5Hrt4D1g5ap/ccEFi4QU1z7g9pTQqpbQThSFG7qWQwFFbe9pF9ck76+t72FkU/gfWyc7hflQ/f3P7/5jr/02WlHIVcAPw+9njjUtSVXZsS41YdpneyRTG6t05IppHxCIRsW1EzB6b7FbgpIhYPgqTMJ4M3DS3bc7HOGCjiFg5G57hr7MXRMSKEbFTNtb2TArDLPxQyzbuB9aIiH2yiT/2BDpTuAyuri0FfA58GRFrAv9XY/kHFMa/+ykuAUanlH5NYWzBf81eEIXJNofPY93HKWQYzJ64cnj2+Kl5ZJ/81DbO6/yPB7pERLeIWIxsnLtfsK/a9n1MNn7tkvw4Zvu8hs75KZYCPkkpfRsRfSh0TC+Ia4BXU/Xx+2ZvbyaFKyGaZ+2tan7Px8J8rUmSJDU6KaWJFIaLO6pKcV3H90tRyP6dkSWRLMiY00TEtlk7d6k6lEVKaRqFcaYvjIilozDJY4cq40HfARwVEW2z+VCOn8duRlLoCD8nIpaIiMUiYvbwggszFp5r3B4RzSJi34hYJhvm5XNq/x72HIUs7OOy74ybUBgu5rZa6i5sS1H4fvhZRJQDf66x/Od87ziBQsf3IRQmN70h6+yWpEp2bEuNXErpQgoT4J1EYUKU9yh0jt6bVTmDwmQvLwAvUpgQ74yfua9hFALZFygM4VE1WG2StWMq8AmF4TRqdhyTXSI2gELmxccUJooZkFKa/nPa9BMdS6Hz8wsK2eS311h+KnB9FGbx3mN+G4uInShcEjn7OP8I9IiIfbPH7YCn57GJxykEebM7tp+i0KH6xFzXKIzxd1LWxnlNqjnbXM9/NgTH6cD/gDey/Vd1NYWx+mZExL0LsK+argFupHA8bwPfUpikZmH5PXB6RHxBoRO5tsyU2uwF7BKFWddn3zakkO3xDoWslQnAiBrrze/5WGivNalBBbmcWEaStMBOB5aY/aAe4vuLgcWB6RTiswcXcL09KQwv90qVmG92EsoBFIaym0BhSIw7KVx1CoXvCQ9R6EweC9w9tx1kySg7UJgD5l1gcrZfWIix8ALE7fsDkyLicwoTT+5bYzkppe+ytm5L4bm8EjiglqEj68JpQA8Kw/sNZc7n9Cd9x4mInhS+ex2QnYNzKXRyz+tHCCnfchrjR0q/9Ep0ScqniBgHbO54b5KKSZMWK6dFNziuwfb/7dAjx6SUejVYAyRJkqQSk9cY38kjJelnSil1a+g2SNJPF2ZOS5IkSSUlnzF+/o5YkiRJkiRJklTU7NiWJEmSJEmSJBUVhyKRJEnKm4iGboEkSZKkhSmHMb4d241Mi1bLpjZtV27oZqiKxRZp2tBNkIpG/j5GGz+niG583n1nEtOnT/flIuVIlC2eYtGlG7oZqmLdTm0bugmqRZMcdsoUA89K42OM3/gY4zcMO7YbmTZtV+am+x5v6Gaoik5tlmroJqgWTfy4aJTCLyONTkqGvY1N//V6N3QTcjmxjNSQYtGlWbTzvg3dDFXxv8fOa+gmqBaLLeLnU2NU1tTz0tjMqvihoZugGjbq16ehm5DLGD9/RyxJkiRJkiRJKmp2bEuSJEmSJEmSiopDkUiSJOWNwwZJkiRJpSWHMb4Z25IkSZIkSZKkomLGtiRJUp5E5HJiGUmSJKlk5TTGz98RS5IkSZIkSZKKmh3bkiRJkiRJkqSi4lAkkiRJeZPDiWUkSZKkkpbDGN+MbUmSJEmSJElSnYmIbSLitYiYGBHH17J85Yh4LCKej4gXImK7+W3TjG1JkqSciRxmc0iSJEmlrDHH+BHRFLgC2BKYDIyKiPtSShOqVDsJuCOl9M+I6AzcD6w6r+2asS1JkiRJkiRJqit9gIkppbdSSt8BtwE71aiTgKWz+8sAU+e3UTO2JUmSJEmSJEl1pRx4r8rjyUDfGnVOBR6OiCOBJYAt5rdRO7YlSZJyJGjclylKkiRJ+mkaQYy/XESMrvL4qpTSVT9xG3sD16WULoyI9YEbI2LtlNIPc1vBjm1JkiRJkiRJ0s81PaXUax7LpwDtqjxum5VVdSiwDUBK6dmIWAxYDvhwbht1jG1JkiRJkiRJUl0ZBaweEe0johmwF3BfjTrvApsDRMRawGLAR/PaqBnbkiRJeRLZTZIkSVJpaOQxfkppVkQcATwENAWuSSm9HBGnA6NTSvcBfwL+ExHHUJhI8qCUUprXdu3YliRJkiRJkiTVmZTS/cD9NcpOrnJ/AtD/p2zTjm1JkqRciYaeWEaSJEnSQpXPGN8xtiVJkiRJkiRJRcWObUmSJEmSJElSUXEoEkmSpJzJ42WKkiRJUinLY4xvxrYkSZIkSZIkqaiYsS1JkpQzeczmkCRJkkpZHmN8M7YlSZIkSZIkSUXFjm1JkiRJkiRJUlFxKBJJkqScyeNlipIkSVIpy2OMb8a2JEmSJEmSJKmomLEtSZKUJ5HdJEmSJJWGnMb4ZmxLkiRJkiRJkoqKHduSJEmSJEmSpKLiUCSSJEk5EkQuJ5aRJEmSSlVeY3wztiVJkiRJkiRJRcWMbUmSpJzJYzaHJEmSVMryGOObsS1JkiRJkiRJKip2bEuSJEmSJEmSiopDkUiSJOVMHi9TlCRJkkpZHmN8M7YlSZIkSZIkSUXFjG1JkqScyWM2hyRJklTK8hjjm7EtSZIkSZIkSSoqdmxLkiRJkiRJkoqKQ5FIkiTlSWQ3SZIkSaUhpzG+GduSJEmSJEmSpKJix7YkSZIkSZIkqag4FIkkSVLO5HHGdEmSJKmU5THGN2NbP8mADdZhj23WZ+/tNmC/HTcG4LUJL3DgLptXlr00bgwA9997B3tu0489tlmfg3fdktcnvAjApDffYO/tNqi8bbROW2655soGO6ZS8e2337Jx/76s16sbvbqtzRmnn1Jt+bHHHMWKrZaqfPzuO++w/dZb0LdnV7bZclOmTJ5c303Ohd8edgirlK9Ir27rVJaddsrf6NOjK317dWeH7bZm6tSpALz26qtssmE/Wiy5GBdfdEFDNTl3fvvrQ1i5zQr07LZ2Zdknn3zC9ttsydprrc7222zJp59+2oAtzIfaXisnHP9nuq29Fn16dGXP3X7FjBkzAHhn0iRaLd2cvr2607dXd448/HcN1GpJKh1brr8m4+88npfuPoFjD9xsjuUrr9SS+6/8HSNvOZaH/vV7yldYpnLZvtv34sW7/sqLd/2VfbfvVZ/NLmmPDHuI9bp3oXfXNbnkwvPmWD5z5kx+feA+9O66Jltv2o9335kEwLvvTKLd8kuxSb+ebNKvJ8ce/ft6bnlpG/bwg3RfZy26dl6DC88/d47lM2fO5MD99qJr5zXYdMP1eWfSJAAe/d8wNly/N317dmXD9Xvz+GOP1nPLS9fDDz3Iul060WXNjpx/3jlzLJ85cyb77bMnXdbsyIb9+laeE4Dzzz2bLmt2ZN0unRj28EP12OrS52tF9aHOOrYj4sSIeDkiXoiIcRHRNysfHhH1Gu1ERIuIqNNP8yiYHhEts8etIyJFxAZV6nwUEcvWZTvqw79vGcKt9z/FTfc9DsAlZ5/Mb44+nlvvf4rfHXMil55zMgDl7VbhP7cP5Y4Hn+XXRx7HGSccDcCqHVbn1vufKmxj8OMsttjibLrVgAY7nlKx6KKLMvShRxgxehzPjnqe/z38ECOfGwHA2DGjKzuEZjvh+D+zz37789yY8Rx/wt845W8nNECrS9/+BxzEvUMeqFZ2zJ/+zMix43lu9PNsu932nH3m6QC0bNWKC/5xCUcf86eGaGpu7X/gQQwa8mC1sgvOO4dNNtucl155g00225wLagmQtXDV9lrZbPMtGT3uRUaOHc/qq6/OBeeeXblstdU68Nzo53lu9PNcdsW/6ru5RS0IIhrupuJmjF+aMX6TJsHFx/2KnY6+iu57nMvuW/VgzfYrVqtz9tE7cPPQ0fTZ5wLO+u/DnH749gC0XLo5Jx62NRsdfAkbHnQxJx62NS2WWrwhDqOkVFRUcPyfjuK2uwfz9KgXuOfO23jt1QnV6tx8wzW0aNGCUeNf5XeHH83pJ/8Yz6/avgPDnxnD8GfGcMElJhEtLBUVFfzp6CO5e9BQRo17iTvvuI1XX6l+Xm647hpatGjJ+Amvc/iRR3PySccDsOxyy3HHXYN4bsx4/v3fazns0AMb4hBKTkVFBX846nAGDX6A51+YwMDbbuWVCdXPyXXXXE3LFi15+dWJHHn0MZx4wl8AeGXCBAbefhtjx7/MfUMe5Ogjf09FRUVDHEbJ8bVS//Ia49dJx3ZErA8MAHqklNYFtgDeq4t9LaAWQJ0GvSmlBIwA1s+K+gHPZ3+JiE7Axymlj+uyHQ0hIvjqy88B+PKLz1luxZUA6NqzL0sv0xKAdbr34sP3p86x7sinh9N2lfa0brty/TW4REUESy65JADff/8933//PRFBRUUFJ/71OM44q/ovpK++MoGNNylk42y8yaYMHTyo3tucBxtsuBGtWraqVrb00ktX3v/qq68qPwRWWGEFevXqzSKLLFKvbcy7DTbciFatqp+jIYMHsd/+hQBqv/0PZPB99zZAy/KlttfKFltuRVlZYdS03n3XY8qUKQ3RNEkZY3ygRGP83l1W5s33pjNpyid8P6uCgcOeZ8DGa1ers+ZqK/H46IkAPD56IgM2Kizfcr1OPPLc63z6+dfM+OIbHnnudbZaf816P4ZSM3b0SFZdrQOrtl+NZs2asfOue/LAkMHV6jwwdDB77rM/ADvsvCtPDn+Uwr+s6sroUSNZrUMH2q9WOC+77r4nQwbfV63O0MGD2Ge/AwDY+Ve7Mfyxwnnp2q07rdu0AWCtzl349ptvmDlzZr0fQ6kZNXIkHTp0rDwnu++5F0NqfLcdMngQ+2ax/a923Y3hjz5CSokhgwex+557seiii7Jq+/Z06NCRUSNHNsRhlBxfK6ovdZWx3RqYnlKaCZBSmp5SmqNXMyK2iohnI2JsRAyMiCWz8p4R8XhEjImIhyKidVY+PCIuybJDXoqIPrVss0tEjMzqvBARqwPnAB2ysvMjYsmIeCTb74sRsVOV9f8WEa9FxFMRcWtEHJuVd4iIB7M2PRkRtUVrz5AFudnff1A9CH765z2djUcEHH7Azuy7w0bcfcu1ABx78jlcfPbJbNevMxefdRJH/vmUOda79/Yb6bfxFnOUPzzkbrbeYbc6b3deVFRUsH7v7rRvuyKbbb4Fvfv05V9XXs722+/ASq1bV6u7zrpdGXTv3QDcN+gevvjiCz7+uKi/kxWVU/52IquvtjK333oLfzvl9IZujmr48IMPaJ29ZlZaaSU+/OCDBm6RbrjuWrbaepvKx5Mmvc16vXuw1eab8PRTTzZgy6RcMcYv0Ri/zfLLMPmDGZWPp3wwg/Lll6lW58XXp7LTpoXhonbadB2WXnIxWi3TnDYrLMPkD34csmvKhzNos0L1dfXTTZs2lfLytpWP25SXM21a9R943586lfK27QAoKytj6WWW4ZMsnn/3nbfZtH8vdtxmM559+qn6a3iJmzZ1SuVzDlBeXs60qdXPy9SpU2lb5bwss/Qyc3zPGnTPXXTt1oNFF1207htd4qZOnVL5fAOUl7edIxli6tQptG1X/bXy8ccfM2XKnOtOnWoixcLga0X1pa46th8G2kXE6xFxZURsXLNCRCwHnARskVLqAYwG/hgRiwCXAbullHoC1wBnVlm1eUqpG4XsjGtq2ffvgEuyOr2AycDxwJsppW4ppT8D3wK7ZPvdFLgwCnoDuwJdgW2z9We7Cjgya9OxQG3Xcz3Nj0FvH+AeYPYruR+FoLioXT3wIW4Z8iSXXXsXd9z4X8Y+9zQDb7qaP510Fvc/M4E/nnQWpx9/RLV1Rj37BIPuuJGjjq/eeff9d9/x+P/uZ4vtdq7HIyhtTZs25dlRz/PaW+8xevQonnryCe69+05+d/iRc9Q965zzeerJJ+jXpwdPPfE4bcrLadq0aQO0Op9O+/uZvPHWu+y59z7868rLG7o5moeGvrRKcO7ZZ1JWVsZe++wLwEqtW/Pam+8wYtRYzjn/Qg46YF8+//zzBm5lcWmoSxR9LRU9Y/wSjfEXxF8vuY8Ne3Tg2Zv+yIY9OjDlgxlUVPzQ0M1SLVZcqTXPT3iLx54ezd/PPp/fHbo/X/g52Wi8MuFlTj7xr1xy+T8builSo+Zr5afLY4xfJx3bKaUvgZ7Ab4CPgNsj4qAa1dYDOgNPR8Q44EBgFaATsDYwLCs/CWhbZb1bs308ASwdES1qbPdZ4ISI+AuwSkrpm1qaGMBZEfEC8D+gHFgR6A8MSil9m1L6AhgMkGWZ9AMGZm36N4WMlZpGAd0jYglgkex5eCsiOjKPbI6I+E1EjI6I0Z828ozZFVYqXA7Sarnl2XTrAbw0fgxD7r6VzbbZEYAtt9+Fl8ePraz/xisv8ffjj+Siq26lRY1LzJ8ePow1u3Rl2eVXqL8DyIkWLVqw0cab8MTjj/HmmxNZt/PqdF6jPV9//TXrrrU6AK3btOHWO+7imZFjOeX0MyvXU/3aa+99GXTP3Q3dDNWwwoorMm3aNACmTZvG8iv4PtVQbrzhOh64fyjX3nBTZcC06KKLsuyyheFse/ToyWqrdeCNN15vyGZKuWCM//Nj/DSrtuY2HlM/+oy2K7aofFy+YgumfPRZtTrTpn/OXsddx/r7XcQpV94PwGdffsvUDz+j7Yotf1x3hRZM/bD6uvrpWrduw5QpP07uPnXKFFq3Lq9WZ6U2bZgyuTAa0KxZs/j8s89oteyyLLroorTKPie7du/Jqu1X482Jfk4uDK3blFc+5wBTpkyhdZvq56VNmzZMrnJePvv8s8q4Zcrkyey9x678++rrWK1Dh/preAlr06a88vkGmDJlMuXlNc9JOZPfq/5aWXbZZSkvn3PdNjXOp34eXyuqL3U2eWRKqSKlNDyldApwBIUsiaoCGJZlWHRLKXVOKR2alb9cpXydlNJWVTddc1c19nsLsCPwDXB/RMw5pTfsCywP9MyyPj4AFpvH4TQBZlRpU7eU0lq1HPPXwBvAIcDs3t0RwHbACsBrtW08pXRVSqlXSqlXy2Ub77wz33z9FV99+UXl/RFPPkrHTp1ZfoWVGPNc4fK2Uc88TrtVVwNg2pT3OPb/9uPvF13FKqt1nGN7Dw2+k212dBiSheWjjz6qnCDym2++4dFH/kf37j15691pTHj9bSa8/jbNmzfnhVfeAGD69On88EMhy+aC885m/wMPbqim587EN96ovD9k8CDW6OQ4lI3N9gN25KYbrwfgphuvZ8AOO81nDdWFhx96kH9ccD4D7x5E8+bNK8s/+uijyol93n7rLSZOfIP27VdrqGYWp2jAm4qaMf7Pi/GjrHFPpjh6wnt0XHl5VmnTikXKmrL7lt0Z+sRL1eosu8wSlT8w/vmgzbl+cGEc2mEjXmOLvmvQYqnFabHU4mzRdw2Gjaj1KdFP0L1nb95+cyLvTHqb7777jnvvup1tth9Qrc422w3g9ltuBGDwvXexwcabEhFMr/I5Oentt3jrzYmssqqfkwtDz169eXPiRCa9XTgvdw28ne0H7FCtznYDduSWm24A4N6772TjTQrnZcaMGey2yw6cdsZZrN+vf0M0vyT16t2biRPfqDwnA2+/je0H7FitzvYDduTmLLa/+6472XjTzYgIth+wIwNvv42ZM2cy6e23mTjxDXr3mWM0LP0MvlYaSA5j/LK62GgUJlH5IaU0u/emG/BOjWojgCsiomNKaWKWAVFOITBcPiLWTyk9m122uEZK6eVsvT2Bx6IwE/lnKaVq6QARsRrwVkrp0ohYGVgXGA8sVaXaMsCHKaXvI2JTClkkUMi2+HdEnE3huRkAXJVS+jwi3o6I3VNKA6MQ0a2bUhpfy+E/A/wBODV7/CxwEzAiFflMHh9P/5Bjf7sfABUVs9hmx93ot/EWLN58CS44/S9UzKqg2aKLctJZlwDwn0vP5bNPP+Gcv/0JgKZlTbnpvseBQsf4c089xglnXtwgx1KKPnh/Gr859CAqKir44Ycf+NVuu7NtjeC3qiefGM6pJ51ARNB/ww256JIr6rG1+XHgfvvwxBPD+Xj6dDq2b8dJJ5/KQw88wBuvv0aTJk1ot/IqXHpF4dKq999/nw3W780Xn39OkyZNuPyySxg7/uVqk01q4Ttgv7158vHhTJ8+nQ6rtuVvJ5/Gsccdz35778H1117Nyiuvwk233tHQzSx5tb1WLjjvHGbOnMmAbQt9X3369uWyK/7F008+wd9PO4WyRRahSZMmXHr5P+eYAFTSwmeMX5oxPkBFxQ8cc97dDL70NzRt2oTr7xvJK299wN9+uw1jX3mPoU+8zEY9O3D64duTUuKp59/iD+fdBcCnn3/N2VcP46nrjwHgrKsf5tPPv27IwykJZWVlnH3BJeyx8/b88EMFe+9/EGuu1YVzzjiVbt17ss32O7DvAYfw+8MOonfXNWnZsiVXXXszAM8+8yTnnnEaZYuU0aRJEy64+Apa+jm5UJSVlXHBxZey8w7b8kNFBfsfeDBrde7CGaedQveePdl+wI4ccNAhHHbIAXTtvAYtW7Xi2htuAeCqf17BW29O5NyzzuDcs84AYNCQB70y8BcqKyvjH5dczg7bb01FRQUHHnQInbt04fRTT6ZHz14M2GFHDjrkUA45aH+6rNmRli1bcePNtwHQuUsXdt19D7qv25mysjIuvvQKh+dcSHytqL5EXcRhEdGTwhh6LYBZwETgNyml6RExHDg2pTQ6y7Q4F5g9CvxJKaX7IqIbcCmF4LQMuDil9J9s3XHAxsAiwCEppWpT1kbE8cD+wPfA+8A+KaVPIuIWCgHwA9k+BwNLUhj3bz1g25TSpIg4FdiHQobHh8CD2b7bA/+kcHniIsBtKaU5ZnyLiN2BO4DVs2B+UeBz4NSU0tnze+46r9s9ze78VePQqc1S86+ketfErL9GyfFzG58S6G8pOf3X683YMaMb7MWyyHIdUsud5huS1JmPrtlzTEqp1/xrqrExxv/5MX6TJVZMi3bed37VVI/ee+y8hm6CarHYInV2Ubl+gbKmnpfGZpZzHDQ6G/XrY4zfADF+nWRsp5TG8OMEKzWXbVLl/qNA71rqjAM2msvmb0op/WEe+z6HwgzpNcv3qVG0fs06mQtSSqdGRHPgCWBMtv7bwDZz22+V/QykShJ+Kswa7/StkiSpcQh/hNLPY4xvjC9JkhqpnMb4ddKxXeSuiojOFMbjuz6lNHZ+K0iSJElq1IzxJUmSSkxRdWxXzQSpw33UzPqQJEkqKXnM5lDjZYwvSZL0y+UxxnegJEmSJEmSJElSUbFjW5IkSZIkSZJUVIpqKBJJkiT9cnm8TFGSJEkqZXmM8c3YliRJkiRJkiQVFTO2JUmSciSIXGZzSJIkSaUqrzG+GduSJEmSJEmSpKJix7YkSZIkSZIkqag4FIkkSVLe5O8qRUmSJKm05TDGN2NbkiRJkiRJklRU7NiWJEmSJEmSJBUVhyKRJEnKkyCXM6ZLkiRJJSunMb4Z25IkSZIkSZKkomLGtiRJUs7kMZtDkiRJKmV5jPHN2JYkSZIkSZIkFRU7tiVJkiRJkiRJRcWhSCRJknImj5cpSpIkSaUsjzG+GduSJEmSJEmSpKJixrYkSVLe5C+ZQ5IkSSptOYzxzdiWJEmSJEmSJBUVO7YlSZIkSZIkSUXFoUgkSZJyJo8Ty0iSJEmlLI8xvhnbkiRJkiRJkqSiYsa2JElSjkRELrM5JEmSpFKV1xjfjG1JkiRJkiRJUlGxY1uSJEmSJEmSVFQcikSSJCln8niZoiRJklTK8hjjm7EtSZIkSZIkSSoqZmxLkiTlTB6zOSRJkqRSlscY34xtSZIkSZIkSVJRsWNbkiRJkiRJklRUHIpEkiQpb/J3laIkSZJU2nIY45uxLUmSJEmSJEkqKmZsS5Ik5UweJ5aRJEmSSlkeY3wztiVJkiRJkiRJRcWObUmSJEmSJElSUXEoEkmSpDyJfF6mKEmSJJWsnMb4ZmxLkiRJkiRJkoqKHduSJEmSJEmSpKLiUCSSJEk5EkAOr1KUJEmSSlZeY3wztiVJkiRJkiRJRcWMbUmSpFyJXE4sI0mSJJWufMb4ZmxLkiRJkiRJkoqKGduNzGKLNKVTm6Uauhmq4rOvv2/oJqgWizdr2tBNUC08L43PrIrU0E2QpNxbZ4223P/w2Q3dDFVx9L0vNXQTVItDerVt6CaoFv07LtfQTVANkz/5pqGboBq+m/VDQzchl+zYliRJypkcXqUoSZIklbQ8xvgORSJJkqRGIyLaRcRjETEhIl6OiKOz8lYRMSwi3sj+tszKIyIujYiJEfFCRPSosq0Ds/pvRMSBVcp7RsSL2TqXRh4HJJQkSZKKnB3bkiRJORMRDXZbALOAP6WUOgPrAYdHRGfgeOCRlNLqwCPZY4BtgdWz22+Af2bH2Ao4BegL9AFOmd0ZntU5rMp62/ziJ1WSJElqQI08xq8TdmxLkiSp0UgpTUspjc3ufwG8ApQDOwHXZ9WuB3bO7u8E3JAKRgAtIqI1sDUwLKX0SUrpU2AYsE22bOmU0oiUUgJuqLItSZIkSUXCMbYlSZJUn5aLiNFVHl+VUrqqtooRsSrQHXgOWDGlNC1b9D6wYna/HHivymqTs7J5lU+upVySJElSEbFjW5IkKU+iwSeWmZ5S6jW/ShGxJHAX8IeU0udVL3FMKaWISHXYRkmSJKl4NHyM3yAcikSSJEmNSkQsQqFT++aU0t1Z8QfZMCJkfz/MyqcA7aqs3jYrm1d521rKJUmSJBURO7YlSZJyJIAmTaLBbvNtXyE1+2rglZTSRVUW3QccmN0/EBhUpfyAKFgP+CwbsuQhYKuIaJlNGrkV8FC27POIWC/b1wFVtiVJkiQVncYe49cVhyKRJElSY9If2B94MSLGZWUnAOcAd0TEocA7wB7ZsvuB7YCJwNfAwQAppU8i4u/AqKze6SmlT7L7vweuAxYHHshukiRJkoqIHduSJElqNFJKT1FIOqnN5rXUT8Dhc9nWNcA1tZSPBtb+Bc2UJEmS1MDs2JYkScqZPE4sI0mSJJWyPMb4jrEtSZIkSZIkSSoqZmxLkiTlTOQxnUOSJEkqYXmM8c3YliRJkiRJkiQVFTu2JUmSJEmSJElFxaFIJEmS8iTyObGMJEmSVLJyGuObsS1JkiRJkiRJKipmbEuSJOVIkM+JZSRJkqRSldcY34xtSZIkSZIkSVJRsWNbkiRJkiRJklRUHIpEkiQpVyKXlylKkiRJpSufMb4Z25IkSZIkSZKkomLHtiRJkiRJkiSpqDgUiSRJUs7k8CpFSZIkqaTlMcY3Y1uSJEmSJEmSVFTM2JYkScqZPE4sI0mSJJWyPMb4ZmxLkiRJkiRJkoqKHduSJEmSJEmSpKLiUCSSJEl5EvmcWEaSJEkqWTmN8c3YliRJkiRJkiQVFTO2JUmSciTI58QykiRJUqnKa4xvxrYkSZIkSZIkqajYsS1JkiRJkiRJKioORSJJkpQzObxKUZIkSSppeYzxzdiWJEmSJEmSJBUVM7YlSZJyJo8Ty0iSJEmlLI8xvhnbkiRJkiRJkqSiYse2JEmSJEmSJKmoOBSJJElSzuTwKkVJkiSppOUxxjdjW5IkSZIkSZJUVMzYliRJypPI58QykiRJUsnKaYxvxrYkSZIkSZIkqajYsS1JkiRJkiRJKioORSJJkpQjQT4nlpEkSZJKVV5jfDO2JUmSJEmSJElFxY5tSZIkSZIkSVJRcSgSSZKkXIlczpguSZIkla58xvhmbOtnq6iooF+fHuy28w4AHHLgfnRfe016d1+H//vNIXz//feVdZ94fDjr9+5Or25rs/UWmzRQi0vPlMnvsdsOW7HJel3ZdP1u/Pdfl1Vb/q/L/0F5y0X55OPp1crHjR3Nyss1Z8iguwF4+snhbLlh78rbaistzYNDB9XXYZScI373a9ZYpTX9enWtLDv5hOPo270LG/Tpzv577cpnM2ZUW2fye+/SboVluOziCyvLPpsxgwP33YO+3bvQt8fajHzu2fo6hFz69ttv2WD9PvTp0ZUeXbvw99NOaegm5cYbr79G/749Km/lK7Tgissu4Z67BtKnxzos07yMsWNGV9a//dabq9VfpnkZL4wf13AHIEkl4LH/PcxGfdahf8/OXH7x+XMsnzlzJv93yH7079mZAVtsyHvvTgLgu+++44+HH8bm/Xuy5Ya9eeapx+u55aVr3dZLcf6Oa3LhTmuxQ5cV5li+0Wqt+Odua3PWdp04a7tObNKxVeWy4zZbjav2WIdjN2lfn03OhZFPPsJB267HAVv35tb/XDLH8juv+yeHDOjPYTttzJ8P/hUfTHmvctkHUyfzl0N355Dt+3HIgP68P+Xd+mx6yXr4oQdZt0snuqzZkfPPO2eO5TNnzmS/ffaky5od2bBfX96ZNKly2fnnnk2XNTuybpdODHv4oXpsdel78rFhbLtBd7buty7/uezCOZaPGvEUv9qqP2u3W4aHhtxTbVmXtkuzyxbrs8sW6/P7A/eoryarCNVbx3ZEnBgRL0fECxExLiL6ZuXDI6JXfbUj22eLiPh9PexnzYh4NiJmRsSxdb2/+nblZZfQac21Kh/vudc+jH3xFUaOfYFvvvmW6675LwAzZszgmKMO5467BjF63EvceMsdDdXkklNWVsYpZ5zL8BHjGfzwk1z333/x+quvAIVO7yce+x/lbVeutk5FRQVnnnoiG2+6RWVZ/w03YdiToxj25CjuuO8hFl+8ORtvumW9Hksp2We/Axh479BqZZtstgVPjxrPUyOfp0PH1fnHBdUDrhOPP5bNt9qmWtlf/3wMm2+5Nc89/zJPjhhLp05robqz6KKL8uCwRxk5djzPjR7Hww89yHMjRjR0s3Jh9TU68fRzY3n6ubE88cwoFm/enB123JnOXdbm5tvupP8GG1Wrv+fe+1bWv+rq61ll1fas27VbwzS+SEU03E2lxRi/NGL8iooKTjruaG68YxCPPTuOQXfdURlTznbbTdexTIsWPD1mAof935GcdepJANxywzUAPPL0GG69eyh//9vx/PDDD/V+DKUmAg7q05bzHn2L4wa/yvqrtqR8mUXnqDfinU854f7XOOH+1xg+8ZPK8qETPuSfT79Tn03OhYqKCi77+/GcddVtXD34aR4beg/vTHytWp2Oa63DlQOH8Z9Bj7PhVjtw1QWnVS479/jD2eOQw7lm6DNccftDtGi1XH0fQsmpqKjgD0cdzqDBD/D8CxMYeNutvDJhQrU6111zNS1btOTlVydy5NHHcOIJfwHglQkTGHj7bYwd/zL3DXmQo4/8PRUVFQ1xGCWnoqKCv5/wR666+W4GDx/N0EEDmfh69c+VNuXtOPvif7P9LnN2XC+22OLc879nued/z3Ll9fYhLag8xvj10rEdEesDA4AeKaV1gS2A9+a9Vp1qAdR50At8AhwFXFAP+6pXUyZP5sEH7ufAgw+tLNt62+2IKFz60KtXb6ZMmQzAHbfdwo4770K7lQsdrCusMGe2gX6eFVdqzTpduwOw5FJLsfoaa/L+tCkAnHrinznx1LPnuBTlmquuYPsddmbZ5Ws/D0MH3c2mW2zN4s2b123jS1i/DTaiZatW1co222IrysoKoz/16rMeU6dMqVw2dPAgVlllVdZcq3Nl2eeffcYzTz/J/gceAkCzZs1YpkWLum98jkUESy65JADff/89s77/PpeXcjW04Y89Qvv2HVh5lVXotOZarL5Gp3nWv/OO29ht9z3rqXWSqjLGL50Yf9yYUazavgOrrLoazZo1Y6df7c7DDwyuVufh+wez+177AbD9Tr/iqSceI6XEG6+9Qr+NNgFgueVXYOlllmH882Pq+xBKTodlm/PBFzP56MvvqPghMWLSp/Rsu8wCr//y+1/y7Sx/YFjYXnthLG1WXpU27VZlkWbN2GS7nXn60Qeq1enWdwMWW7zwXWqtrj2Z/sFUAN6Z+BoVFbPo2X8TABZfYsnKevr5Ro0cSYcOHWm/WuH9a/c992LI4OpXHw8ZPIh99z8QgF/tuhvDH32ElBJDBg9i9z33YtFFF2XV9u3p0KEjo0aObIjDKDkvPD+alVddjXartKdZs2Zst9NuPPpQ9eSv8nar0Knz2jRp4mAS+vnq67+nNTA9pTQTIKU0PaU0tWaliNgqy34YGxEDI2LJrLxnRDweEWMi4qGIaJ2VD4+IS7LskJciok8t2+wSESOzOi9ExOrAOUCHrOz8iFgyIh7J9vtiROxUZf2/RcRrEfFURNw6OysjIjpExINZm56MiDVr7jul9GFKaRTwfc1lxe64Y4/hjLPPrfUN6Pvvv+fWW25iyyz7dOIbrzPj00/ZZstN2WC9Xtxy0w313dxceO/dSbz0wni69+zDQ/ffR+vWbeiyzrrV6kybOoUHh9zHAYf+dq7bGXT3QHba1Ut96tLNN1zLFtnr48svv+SSi87juBNOrlbnnUlvs9xyy3HEbw9l4/V7cdTvf8NXX33VEM3NlYqKCvr27MbKbVZgsy22pE/fvg3dpNy5a+Dt7LbHXgte/847flJ9SQuVMX6JmDZtKq3L21Y+XqlNOdOmVT+V71epU1ZWxtJLL82nn3zMWl3WYdgDQ5k1axbvvvM2L457nqlZgot+vlbNF+Hjr3/8F/vk6+9p2XyROer1XrkFZ2/fiaM3XJVWtSzXwjX9w2mssFJ55ePlV2zDxx9Mm2v9B++6md4bbg7A5ElvsuRSy3DqkQfx219tyr/PP9Xs4IVg6tQptG3brvJxeXlbplRJIqqs065Qp6ysjKWXWYaPP/6YKVPmXHfq1Orr6uf58P2prNTmx8+VFVuX88G0OUKEuZo581t222ZD9hywKf+r8UOrVFV9dWw/DLSLiNcj4sqI2LhmhYhYDjgJ2CKl1AMYDfwxIhYBLgN2Syn1BK4BzqyyavOUUjcK2RnX1LLv3wGXZHV6AZOB44E3U0rdUkp/Br4Fdsn2uylwYRT0BnYFugLbZuvPdhVwZNamY4Erf84Tkx37byJidESMnj79o5+7mXrzwNAhLL/88nTv0bPW5ccc9Xv6b7Ah/TfYEIBZs2Yx7vmx3HXvEO4d8iDnnnUGb7z+en02ueR99eWXHHbAXpx29gWUlZVx2UXncexf5xwf+JQTjuWEU8+c6y+iH7w/jVcnvMQmm29V103OrQvPO4uysjJ232sfAM498zT+74g/VGYKzzarYhbjxz3PwYf9lsefHU3z5ktw8YXnNkSTc6Vp06Y8N2YcEydNZvSokbz80ksN3aRc+e6777h/6GB2+dVuC1R/1MjnaN68OZ27rF3HLSs9s6+waoibSoox/jxUjfE/LoIY/+faa7+DaN2mnO0268epJ/yZnn3Wo2nTpg3drFwYO/kz/nDPBP469DVefP8Lftdv5fmvpHrzv/sG8tpL49nj0CMAqKiYxYtjRvCb407lyjuGMe29STx8z60N3EqpcXpk5Cvc+eCTXHDFNZx9yl94d9JbDd2kotDYY/yI2CZLLJgYEcfPpc4eETEhCkPd3TK/bZb9xOfoZ0kpfRkRPYENKQSVt0fE8Sml66pUWw/oDDydPSHNgGeBTsDawLCsvClQ9SfRW7N9PBERS0dEi5TSjCrLnwVOjIi2wN0ppTdqecIDOCsiNgJ+AMqBFYH+wKCU0rfAtxExGCAKWSb9gIFVtjXngGcLKKV0FYUgmh49e6Wfu536MuLZp7l/6GAefugBvv32W774/HMOPWh/rr7uRs464zSmfzSdW+74d2X98rZtabXssiyxxBIsscQS9N9wQ158cTyrr7FGAx5F6fj+++857MA92WX3vdhuh5155eWXePedSWy5YW8Apk2dzNYbr8fQR57ihefH8PtD9wfgk0+m8+iwBykra8o22xcSmAbfeyfbDtiRRRYx26Mu3HLj9Tz0wFDuHTqs8o1/zOiR3Hfv3Zx60vF89tkMmjRpwmKLLcaOO+9Km/K29OpdyBjeaZdfcfGF5zVk83OlRYsWbLzJpjz88IN0WdtO0/oy7KEH6NqtOyusuOIC1f+p2d2SFi5j/HmrGuN37d6zUcf4rVu3YVqVLOv3p06hdes21eqslNVpU96WWbNm8fnnn9Oy1bJEBKee9eNkkzttvQmrdVi93tpeqj75+nuWrZKB3ar5Inz6dfWLBL787sds38cmfsze3aufMy18y63Qmg/f/zGj96MPprLsiq3nqDfmmce55d//4MIbBtGsWeFtZLkV29BxzbVp025VAPpvvh2vjB/NtvXS8tLVpk05kyf/OArWlCmTKS8vn7POe+/Rtm32/vXZZyy77LKUl8+5bps21dfVz7PCSm14f+qPnysfTJvCiq0X/D1qdt12q7SnT78NeeWl8ay86moLvZ2qPxHRFLgC2JJCQsKoiLgvpTShSp3Vgb8C/VNKn0bEfMcyrreBbFJKFSml4SmlU4AjKGRJVBXAsCzDoltKqXNK6dCs/OUq5euklKqmk9YMEqs9TindAuwIfAPcHxGb1dK8fYHlgZ5Z1scHwGLzOJwmwIwqbeqWUsrNrG6nnXE2r7/1HhNef5vrbryVjTfZjKuvu5Hrrvkvjwx7mGtvvKVaRvD2A3bi2aefZtasWXz99deMGjmy2qST+vlSSvzpyN/ScY01+e3hfwBgrS5r88Ibk3nuhdd57oXXad2mLQ89PoIVVlyJEeNfryzffsdfcdYFl1Z2agPce9cd7LSrY9XWhf89/CCXXnwBt9xxL82rjF9+/7DHGf/Km4x/5U1+d/hRHHPs8Rz2u8NZcaWVKG/bljdeL0xG8/jwR33d1LGPPvqIGTNmAPDNN9/wyP+G0anTHFegqw4NvOM2dl/AjuoffviBe+4ayK6Or/3TNeCkMiZslx5j/NLQtUcv3n5rIu++8zbfffcdg+4eyJbbDKhWZ8ttBzDwtpuAwpws/TfchIjgm6+/5utsuLQnHvsfZWVNWcOY5Rd76+OvWWmpRVl+iWY0bRKst2pLxkz+vFqdFov/mKfWs+0yTP3s2/puZu50Wqc7U955m2mT3+H7775j+P330m/T6hPAvzHhBS4+9VhOv+JGWi67fLV1v/zic2Z8Mh2Acc89ySod5j2XiOavV+/eTJz4BpPeLrx/Dbz9NrYfsGO1OtsP2JGbb7wegLvvupONN92MiGD7ATsy8PbbmDlzJpPefpuJE9+gd585Rr/Sz7BOt5688/abTH53UuGqzEF3sulW2y3Qup/N+JTvZs4E4NOPpzN21Ag6rOH3svlq/DF+H2BiSumtlNJ3wG3ATjXqHAZckVL6FArDv81vo/WSsR0RnYAfUkpvZEXdgJpTNI8AroiIjimliRGxBIWsiteA5SNi/ZTSs9lli2uklF7O1tsTeCwiNgA+Syl9VmPfqwFvpZQujYiVgXWB8cBSVaotA3yYUvo+IjYFVsnKnwb+HRFnU3iuBgBXpZQ+j4i3I2L3lNLAKKR0rJtSGv/LnqnidvQR/8fKK6/CZhv1A2DHnXfhryeezJprrcWWW21N355dadKkCQcdfChdvGx8oRg14hnuuv1m1uq8dmWG9vF/O53Nt/rpv/u/9+4kpk2ZzPr9N1rYzcydXx+4L08/+TgffzydLquvwvEnncLFF5zLzJkz+dUOhcC3V5++XHTpvK9uPveCS/jtIQfw3XffsWr79lz+r6vro/m59f60aRx2yIFUVFTwQ/qBXXfbg+22HzD/FbVQfPXVVzz26P+45PJ/VZYNHnQPf/7j0Uyf/hG7/2oH1lm3K/cOfhCAp596gvK27Wjf3swNqaEY45eOsrIy/n7exey72w78UFHBnvseSKe1OnP+WafRtXtPttp2AHvtdxBH/+4Q+vfsTIuWrbjyv4V5c6ZP/5B9d9uBJtGEldq04ZJ/1TZyjH6qHxJcN2oyf9l8NZpE8PibnzDls2/Zdd2VePuTrxk7+XO27rQ8PdouTUWCr2bO4l/Pvlu5/t+26kibpRdjsbImXLZLZ64a8R4vTvuiAY+oNDQtK+PIk87m+F/vwQ8//MA2v9qbVVdfk+suPYc11u5Gv8224arzT+Obr7/i78ccCsAKrdvy9ytvomnTpvz2z6fy54N3JaXEGl3WZbvd92/gIyp+ZWVl/OOSy9lh+62pqKjgwIMOoXOXLpx+6sn06NmLATvsyEGHHMohB+1PlzU70rJlK268+TYAOnfpwq6770H3dTtTVlbGxZde4VBKC0lZWRknnXkhv95nZ36oqOBXe+3P6p06c+l5f2ftrj3YbOvteXHcGI48dG8+nzGDx4Y9wGUXnMmQ4aN5643XOOUvR9GkSRN++OEHDjv8j3Rcwx9Mi8ByETG6yuOrsqvXZiun+iTjk4Gak1qtARART1O4mu/UlNKD89pppFT3V8VllyheRmGm8lnAROA3KaXpETEcODalNDrLtDiXHy/5OymldF9EdAMupRCclgEXp5T+k607DtgYWAQ4JKVUbQrbbMyW/SlM7vI+sE9K6ZNsnJZ1gQeyfQ4GlqQw7t96wLYppUkRcSqwD4UMjw+BB7N9twf+SWHSnEWA21JKp9fY90rZ9pamcPnjl0DnlFL1n9qr6NGzV3ry2VEL8rSqnnz2dcnMC1RSFm9mwNEYeV4an+9n/dDQTVANG/fvw9gxoxssd3nJdmumbkf/p6F2z9N/3mhMSqnX/GuqsTPGX/AYv2v3nun+R59ZkKdV9eS4oa80dBNUi0N6tZ1/JdW7/h2Xa+gmqIZJH33V0E1QDbttsyEvjR9rjD8XEbEbsE1K6dfZ4/2BvimlI6rUGUIhttsDaAs8AaxTYzi6auprjO0xFMarq23ZJlXuPwr0rqXOOGBuaaQ3pZT+MI99n0NhhvSa5fvUKFp/Lpu4IKV0akQ0p/CEjsnWfxvYZi7rzN7H+xROhCRJUqMQ4CSOWiiM8SVJkhqHIojxpwDtqjxum5VVNRl4LqX0PfB2RLwOrA7MNQO43sbYLmJXRcQ4YCxwV0ppbAO3R5IkSdIvY4wvSZJUf0YBq0dE+4hoBuwF3Fejzr3AJgARsRyFoUnemtdG6yVju65UzQSpw33UzPqQJEkqao08m0M5Z4wvSZL00zXmGD+lNCsijgAeojB+9jUppZcj4nRgdErpvmzZVhExAagA/pxS+nhe2y3qjm1JkiRJkiRJUuOWUrofuL9G2clV7ifgj9ltgTgUiSRJkiRJkiSpqJixLUmSlDON+CpFSZIkST9DHmN8M7YlSZIkSZIkSUXFjG1JkqScacwTy0iSJEn66fIY45uxLUmSJEmSJEkqKnZsS5IkSZIkSZKKikORSJIk5Unkc2IZSZIkqWTlNMY3Y1uSJEmSJEmSVFTM2JYkScqRIHI5sYwkSZJUqvIa45uxLUmSJEmSJEkqKnZsS5IkSZIkSZKKikORSJIk5UwOr1KUJEmSSloeY3wztiVJkiRJkiRJRcWObUmSJEmSJElSUXEoEkmSpJxpksfrFCVJkqQSlscY34xtSZIkSZIkSVJRMWNbkiQpZ3KYzCFJkiSVtDzG+GZsS5IkSZIkSZKKih3bkiRJkiRJkqSi4lAkkiRJORIBkcfrFCVJkqQSldcY34xtSZIkSZIkSVJRMWNbkiQpZ5rkL5lDkiRJKml5jPHN2JYkSZIkSZIkFRU7tiVJkiRJkiRJRcWhSCRJknImjxPLSJIkSaUsjzG+GduSJEmSJEmSpKJixrYkSVLO5DCZQ5IkSSppeYzxzdiWJEmSJEmSJBUVO7YlSZIkSZIkSUXFoUgkSZJyJIAgh9cpSpIkSSUqrzG+GduSJEmSJEmSpKJixrYkSVLONMlfMockSZJU0vIY45uxLUmSJEmSJEkqKnZsS5IkSZIkSZKKikORSJIk5UkEETm8TlGSJEkqVTmN8c3YliRJkiRJkiQVFTO2JUmSciaHyRySJElSSctjjG/GtiRJkiRJkiSpqNixLUmSJEmSJEkqKg5FIkmSlCMBNMnjdYqSJElSicprjG/GtiRJkiRJkiSpqJix3Qg1yd8PLI3aUov5MmmMVlj/qIZugmrx/jOXNHQTVENTP1QkqcE1bRK0WrJZQzdDVfxrt3UbugmqhTF+42SM3/i0bbV4QzdBNTQrM3e4IdhjJ0mSlDM5vEpRkiRJKml5jPH9OUGSJEmSJEmSVFTM2JYkScqZyGM6hyRJklTC8hjjm7EtSZIkSZIkSSoqdmxLkiRJkiRJkoqKQ5FIkiTlSEQ+J5aRJEmSSlVeY3wztiVJkiRJkiRJRcWMbUmSpJxpksd0DkmSJKmE5THGN2NbkiRJkiRJklRU7NiWJEmSJEmSJBUVhyKRJEnKmfxdpChJkiSVtjzG+GZsS5IkSZIkSZKKihnbkiRJORM5nFhGkiRJKmV5jPHN2JYkSZIkSZIkFRU7tiVJkiRJkiRJRcWhSCRJknIkgCb5u0pRkiRJKll5jfHN2JYkSZIkSZIkFRU7tiVJkvIkgmjA2/ybF9dExIcR8VKVslMjYkpEjMtu21VZ9teImBgRr0XE1lXKt8nKJkbE8VXK20fEc1n57RHRbCE+u5IkSVL9a+Qxfl2xY1uSJEmNyXXANrWU/yOl1C273Q8QEZ2BvYAu2TpXRkTTiGgKXAFsC3QG9s7qApybbasj8ClwaJ0ejSRJkqQ6Yce2JEmSGo2U0hPAJwtYfSfgtpTSzJTS28BEoE92m5hSeiul9B1wG7BTFNJJNgPuzNa/Hth5YbZfkiRJUv2wY1uSJClnIhru9gscEREvZEOVtMzKyoH3qtSZnJXNrXxZYEZKaVaNckmSJKmoFWmM/4vYsS1JkqT6tFxEjK5y+80CrPNPoAPQDZgGXFiXDZQkSZLU+JU1dAMkSZKUK9NTSr1+ygoppQ9m34+I/wBDsodTgHZVqrbNyphL+cdAi4goy7K2q9aXJEmSVETM2JYkScqZYpsxPSJaV3m4C/BSdv8+YK+IWDQi2gOrAyOBUcDqEdE+IppRmGDyvpRSAh4DdsvWPxAY9LMaJUmSJDUixRbjLwxmbEuSJKnRiIhbgU0oDFkyGTgF2CQiugEJmAT8FiCl9HJE3AFMAGYBh6eUKrLtHAE8BDQFrkkpvZzt4i/AbRFxBvA8cHX9HJkkSZKkhcmObUmSpBwJoEkDTvAyPymlvWspnmvnc0rpTODMWsrvB+6vpfwtoM8vaaMkSZLUmDT2GL+uOBSJJEmSJEmSJKmo2LEtSZIkSZIkSSoqDkUiSZKUMw05wYskSZKkhS+PMf5cO7Yj4jIKE/TUKqV0VJ20SJIkSVKdMMaXJElSqZhXxvboemuFJEmS6k3+cjlUhTG+JElSCcpjjD/Xju2U0vVVH0dE85TS13XfJEmSJEl1wRhfkiRJpWK+k0dGxPoRMQF4NXvcNSKurPOWSZIkSaoTxviSJEkqdgsyeeTFwNbAfQAppfERsVFdNkqSJEl1IwKa5HBiGc3hYozxJUmSSkJeY/z5ZmwDpJTeq1FUUQdtkSRJklRPjPElSZJUzBYkY/u9iOgHpIhYBDgaeKVumyVJkqS6ksNkDs3JGF+SJKmE5DHGX5CM7d8BhwPlwFSgW/ZYkiRJUnEyxpckSVJRm2/GdkppOrBvPbRFkiRJUj0wxpckSVKxm2/GdkSsFhGDI+KjiPgwIgZFxGr10ThJkiQtfBHRYDc1Dsb4kiRJpSWPMf6CDEVyC3AH0BpoAwwEbq3LRkmSJEmqU8b4kiRJKmoL0rHdPKV0Y0ppVna7CVisrhsmSZKkuhHRcDc1Gsb4kiRJJSSPMf5cx9iOiFbZ3Qci4njgNiABewL310PbJEmSJC1ExviSJEkqFfOaPHIMhSB3dr/7b6ssS8Bf66pRkiRJkuqEMb4kSZJKwlw7tlNK7euzIZIkSap7QdDEMUFyyxhfkiSp9OQ1xp9XxnaliFgb6EyVcfdSSjfUVaMkSZIk1S1jfEmSJBWz+XZsR8QpwCYUgt77gW2BpwCDXkmSpGLjJI7CGF+SJKmk5DTGb7IAdXYDNgfeTykdDHQFlqnTVqnR++1hh7BK+Yr06rZOZdlpp/yNPj260rdXd3bYbmumTp0KwGuvvsomG/ajxZKLcfFFFzRUk3NhxowZ7L/37vTs2ple3brw3IhnK5dddvFFLL14Uz6ePr2y7MknhtO/bw/69FiHbbfctCGaXBLartiCB686irF3nciYO0/k8L03AeDGcw5mxG3HM+K243l16GmMuO34auu1W6klHz19IX/Yf3MAVl9lhcr6I247ng+ePJ8j9tmk2jpH778Z3zx/Ocu2WKI+Dq1k/fOKS1m/V1fW67kuV15+CQB/O+E4enfrQr8+3dl3z12ZMWMGAN999x2//82h9Ovdjf59e/DkE8MbruElbMaMGey39+70WLczPbsW3r9O/Otx9Fi3M+v16sbee/yq8pw8+r9hbLh+b/r27MqG6/fm8ccebdjGS8XJGF/VPPzQg3TtsiZrr7U6F5x3zhzLZ86cyf777MXaa63ORv3X451JkyqXnX/u2ay91up07bImwx5+qB5bXdqGPfwgPdZdi65d1uCi88+dY/nMmTM5aL+96NplDTbdcH3eeWcSAI8+MoyN+vVmvV5d2ahfbx4f7ufkwrRlv7UYf8/feGnQKRx78JZzLF+5dUvu/9eRjLz9rzz0n6MpX6EFAOuuUc7w6//EmDtPZOTtf2W3rXrUc8tL1/8efpBeXTvTfe1O/OOC2l8rB++/N93X7sTmG/34WhkzaiQb9O3JBn170r9vDwYPurd+G17ihj38IN3XWYuundfgwrm8hx2431507Zy9h2WfK8b6+ikWpGP7m5TSD8CsiFga+BBo91N3FBEnRsTLEfFCRIyLiL5Z+fCI6PVTt/dLRESLiPh9Pexn3+x4X4yIZyKia13vs77sf8BB3DvkgWplx/zpz4wcO57nRj/Pttttz9lnng5Ay1atuOAfl3D0MX9qiKbmyl+O/QNbbLU1Y8ZP4JmRz9NpzbUAmPzeezzyyMO0a7dyZd0ZM2bwx6OP4LaB9zJy7IvccPPtDdXsojer4geOv+hueux6JhsfcAG/3XMj1lxtJfY//lrW2+sc1tvrHO59ZByDHh1Xbb1z//QrHn765crHb7zzYWX9fvucy9fffs99j42vXN52xRZsvt5avDvtk/o6tJI04eWXuOHaq3nkiWd56rmxPPTAUN56cyKbbrYFz44ezzMjn6fj6qvzjwsKX+qvv+a/ADwzahz3Dn6Qk44/jh9++KEhD6EkHfenP7DFllsz9oUJPDuq8P612WZbMHLsC4wYPY6Oq6/BhecXzsmyyy3HHXcN4rkx4/n3f6/lsEMPbODWS0XJGP/n76fkYvyKigqOOfoI7h18P2PHv8zA22/jlQkTqtW57tqradGyBS+98gZHHvUHTjqh8IP9KxMmcOcdtzNm3EsMGvIAfzjqcCoqKhriMEpKRUUFf/rDkdw1aCijnn+JOwfexquvVD8nN1x3DS1atmT8y69z+JFHc8qJhXOy7LLLcfudgxgxejz/+s+1/OYQPycXliZNgouP34OdjriS7ruewe7b9GTN1VaqVufsY3bh5qEj6bPn2Zx11QOcfuSOAHz97fcc+rcb6Lnbmex0xJWcd+yuLLPk4g1xGCWloqKCY485ijvvHcJzY1/kzoG3z/FaufG6a2jRoiXPv/Qavz/yD5x6UmGe5LW6rM3wp5/jqefGcNe9QznmqP9j1qxZDXEYJaeiooI/HX0kdw8ayqhxL3HnHXN5D2vRkvETCu9hJ5+UvYcZ6+snWJCO7dER0QL4D4VZ1McCz85zjRoiYn1gANAjpbQusAXw3k9r6kLVAqjzoBd4G9g4pbQO8HfgqnrYZ73YYMONaNWyVbWypZdeuvL+V199RWTXQKywwgr06tWbRRZZpF7bmDefffYZzzz1JAccdCgAzZo1o0WLFgD89bg/8vczz608JwADb7+VHXbahXYrFzq7l19hhXpvc6l4f/rnjHt1MgBffj2TV99+nzbLt6hWZ9cte3DHg2MqH++wybpMmvIxE958v9ZtbtqnE29P/oh3p31aWXbesbty4iX3klJa+AeRI6+/9io9e/WhefPmlJWV0X+DjRg86B4222IrysoKI3T16r0eU6dMAeC1V19ho00KVzQsv8IKLNNiGZ4fM7rB2l+KZr9/HXhw9fevzbf88Zz07tOXqZMLr7Ou3brTuk0bANbq3IVvv/mGmTNnNkzji1RENNhNjYYx/s9XcjH+6FEj6dChI+1XW41mzZqx2x57MmTwoGp1hg6+j/32L3Qu7LLrbgx/7BFSSgwZPIjd9tiTRRddlFXbt6dDh46MHjWyIQ6jpIweNZLVOnSgffvCOdl19z0ZOuS+anWGDhnE3vseAMDOv9qN4cMfJaU0x+fkN9/6Obmw9F57Vd58bzqTpnzM97MqGPjQWAZssm61Omuu1prHR74GwOOjXmfAJoWrnCe++yFvvvsRANM++oyPPv2C5VotWb8HUILGjC68Vlad/VrZbQ/ur/FauX/ofey93/4A7LTLrjyevVZmfx8A+Hbmt8YpC1Hle9hqP76HDRlc4z1s8CD22a/Ke9hjtb+HGesvuDzG+PPt2E4p/T6lNCOl9C9gS+DA7HLFn6I1MD2lNDPb5vSU0tSalSJiq4h4NiLGRsTAiFgyK+8ZEY9HxJiIeCgiWmflwyPikiw75KWI6FPLNrtExMiszgsRsTpwDtAhKzs/IpaMiEey/b4YETtVWf9vEfFaRDwVEbdGxLFZeYeIeDBr05MRsWYtz90zKaXZvVIjgLY/8XkrOqf87URWX21lbr/1Fv52yukN3ZxceWfS2yy73PL8328OYYP1enLE/x3GV199xdDBg2jdppx11q2eTDTxjdeZMeNTtttqMzbq15tbbnZIzYVh5dat6NapLaNemlRZ1r9HBz745IvKQHaJxZvxp4O35Mx/3z/X7ey+dc9qHeEDNlmHqR/O4MXXp9RZ2/Nirc5dePaZp/jk44/5+uuvGfbQA0zOOkxnu+mGa9liq20AWHuddXlg6GBmzZrFpElvM+75sUyeMrm2TetnemfS2yy3/PL87rBD6N+3J4f/rvD+VdWN11/LlltvM8e6g+65i67derDooovWV3OlkmCMb4xf1dQpUyhv++NhlJe3ZerUKbXUKST1l5WVsfQyy/Dxxx8zdeoU2rb9Mdm/TXl55Y/D+vmmLcDzOm3q1Mo6ZWVlLL30Mnzy8cfV6gy65y66+Tm50LRZYRkmf/Bj4smUDz6lfPnqozi9+PoUdtqsGwA7bdaVpZdcnFbLVB9GsFeXVWhWVsZb701Hv8y0qVMpL6/6WmnLtKlT51qn5mtl9MjnWK/nuvTv3Y2LLrmysqNbv8y0qT9+ZgCUl5czrebnSo33sGWWLnyuVGWsr/mZa8d2RPSoeQNaAWXZ/Z/iYaBdRLweEVdGxMa17G854CRgi5RSD2A08MeIWAS4DNgtpdQTuAY4s8qqzVNK3ShkZ1xTy75/B1yS1ekFTAaOB95MKXVLKf0Z+BbYJdvvpsCFUdAb2JXCmIPbZuvPdhVwZNamY4Er5/McHAo8MJ86Re+0v5/JG2+9y55778O/rry8oZuTK7NmzWL8uLEcetjveGrEGJo3X4KzzziNC847hxNPPq3W+uPGjmXgPYO5574HOO/sM3njjdcboOWlY4nFm3HrBb/mzxfcxRdffVtZvsc2vRj44I8Zvif9bnsuu+lRvvrmu1q3s0hZU7bfeB3uHvY8AIsvtgjHHbI1p/9zaN0eQE50WnMtjv7jn9llh23ZdaftWGfdbjRt2rRy+QXnnkVZWRl77LUPAPsdeDBtysvZpH9f/vrnP9K37/o0bdJ0bpvXzzBr1izGPT+WX//mdzz93BiWWGKJamOJnn9O4Zzsufe+1dZ7ZcLLnHziX7nk8n/Wd5OlomWMb4yv/HhlwsucfNJfudjPyXr113/cw4Y9O/LsrX9hw54dmfLBp1RU/DiM3UrLLc3VZxzAb0+9ySsxG4FeffoyYswLPPrkCP5xwTl8++23819J9cJYXwtiXj9FXTiPZQnYbEF3klL6MiJ6AhtSCCpvj4jjU0rXVam2HoVZ2Z/OUtibUbgcshOwNjAsK28KTKuy3q3ZPp6IiKUjokVKaUaV5c8CJ0ZEW+DulNIbtaTIB3BWRGwE/ACUAysC/YFBKaVvgW8jYjBAlmXSDxhYZVtz/fkoIjalEPRuMJflvwF+A1QOC1Hs9tp7X3bZcXv+dsqcHaqqG+XlbSkvb0vvPn0B2HmXXTn7zNN555236d+nOwBTpkxmw/V78diTIygvb0urZZdliSWWYIkllqD/Bhvy0gvjWX31NRryMIpWWVkTbr3gMG5/YDSDHv1xXOymTZuw02Zd6b/PeZVlvddehV226MaZf9iZZZZanB9+SHz73ff86/YnANh6g86Me/U9PvzkCwBWa7s8q5Qvy8jbC2PBla/Qgmdv+Qsb7n8+H3z8RT0eZek44KBDOOCgQwA4/eQTaVNeyFK7+cbreeiBoQy6f1jl5VRlZWWcfd5FletutekGdFx99fpvdAmr+f610y67clE28c9NN1zHAw8MZcgDw6pd4jZl8mT23mNX/n31dazWoUODtLuYLchYdCpZxvjG+HNoU17OlCpXL02ZMpk2bcprqfMebdu2ZdasWXz+2Wcsu+yytGlTzuTJP45AM3XKFNqUV19XP13rBXheW7dpw+TJ71E++5x8/hmtll0WKHxO7rPnrlz13+tYbTU/JxeWqR9+RtsVW1Y+Ll+xJVM++qxanWkffcZexxbmaFli8WbsvHk3PvvyGwCWWmIx7r70/zj1isGMfHFSvbW7lLVu04YpU6q+ViZXDmNRs05tr5XZOq25FkssuSSvvPwS3XvW6xQRJal1m8JnxmxTpkyhdc3PlRrvYZ99XvhcAWP9nyuPMf5cO7ZTSpsuzB2llCqA4cDwiHgROBC4rkqVAIallPauul5ErAO8nFJaf26bntfjlNItEfEcsD1wf0T8Fnirxjr7AssDPVNK30fEJGCxeRxOE2BGliEyTxGxLvBfYNuU0se11UkpXUU2Nl+Pnr2K9ifbiW+8UdnZM2TwINboNMeVm6pDK660EuVt2/HG66+x+hqdGD78Ubp2687gB4ZV1lm702o8/vRIll1uObbfYUeOPeYoZs2axXfffcfoUSM5/Mg/NNwBFLl/nbIvr739PpfeVH3G5s36duL1SR8w5cMZlWVbHHpx5f0Tf7sdX309s7JTGwoZ3lWHIXl54lRW2fyvlY9fHXoa/fc9j49nVB+qQQvuow8/ZPkVVuC9995l8H33Mmz40/zv4Qe59B8XMPShR2nevHll3a+//pqUEksssQSPPTKMpmVlrLlW5wZsfemZ/f71+uuvscYanXj8sUdZc63ODHv4QS6+6AIeGPZYtXMyY8YMdttlB0474yzW79e/AVsuFR9jfGP82vTs1ZuJE99g0ttv06a8nDvvuJ1rb7i5Wp3tBuzATTdeT9/11ueeu+5k4002IyLYfsCOHHzAvhz1hz8ybepUJk58g1695xg9Rj9Rz169eWviRCZNeps2bcq5a+DtXH3dTdXqbLf9jtx68w30XW997r37TjbeeFMighkzZrD7r3bgtL+fxXp+Ti5Uo19+h44rL88qbZZl6ocz2H3rHhz01+uq1Vm2xRJ88lkhfvzzIVtz/aARQOGqzNsvPIxbhjzHPf8bV/+NL1E9evbmzaqvlTvv4L/X3litzrbb7cCtN91In77rM+ieu9goe61MmvQ2bdu2o6ysjHfffYc3XnuNlVdZtWEOpMT07JWdl+xz5a6Bt3PN9TXewwbsyC03VXkP2+TH9zBjfS2oehk8KCI6AT+klN7IiroB79SoNgK4IiI6ppQmRsQSFLIqXgOWj4j1U0rPZpctrpFSejlbb0/gsYjYAPgspVTt59KIWA14K6V0aUSsDKwLjAeWqlJtGeDDLODdFFglK38a+HdEnE3huRoAXJVS+jwi3o6I3VNKA6OQ0rFuSml8lW2S7e9uYP+UUkmN8XDgfvvwxBPD+Xj6dDq2b8dJJ5/KQw88wBuvv0aTJk1ot/IqXHpF4XKR999/nw3W780Xn39OkyZNuPyySxg7/uVqk01q4Tj/okv49cH7891337Hqqu258qrartwt6LTmWmyx5das37sbTZo04YCDDqVzl7XrsbWlo1+31dh3QF9efH0KI24rzOR8yuX38dBTE+YYK3t+mi/WjM36rskRZ9xaV80VcMA+u/PJJ59QtsgiXPCPS2nRogV//uPRfDdzJjsPKIzj3LtPX/5x2ZV89NGH7LrjdjRp0oTWbdrw76uvb+DWl6YL/nEJvz4oe/9q355/XnUNm/Tvy8yZM9lp+62Bwjm55PJ/ctU/r+CtNydy7llncO5ZZwAwaMiDToK7gAKcHEkLhTF+6cT4ZWVlXHTxZey4/TZU/FDBAQceTOcuXTj91JPp0bMXA3bYkYMOPpRDDzqAtddanZYtW3HDTYVYpXOXLvxqt93p0bULZU3L+Mcll1cb4ks/T1lZGef/41J22WFbKioq2P/Ag1mrcxfOOP0UevToyXYDduSAgw7hN4ccQNcua9CyZSuuvfEWAK76V/Y5efYZnHt24XPy3sF+Ti4MFRU/cMy5dzD4ysNp2iS4ftAIXnnrff72f9szdsK7DH38RTbqtTqnH7kjKcFTYyfyh7PvAGDXrXqwQY+OtGqxBPvtuB4Avzn5Rl5wDp1fpKysjPMvuoRdd9yOiooK9jvgINbq3IUzTz+F7j16sd2AHdj/oEP47aEH0n3tTrRs2ZJrbii8VkY88zQXX3geZWWL0KRJEy64+HKWXW65Bj6i0lBWVsYFF1/Kzjtsyw9V38NOO4XuPXuyffYedtghB9C18xq0bNWKa7PzYqz/8+Q1xo/6GNMpu0TxMgozlc8CJgK/SSlNj4jhwLEppdERsRlwLj9e8ndSSum+iOgGXEohOC0DLk4p/SdbdxywMbAIcEhKqdoU3BFxPLA/8D3wPrBPSumTiLiFQgD8QLbPwcCSFMb9W49C9sWkiDgV2Af4APgQeDDbd3vgnxQmzVkEuC2ldHqNff+Xwvh9swP8WSmleV7T0qNnr/T0iFHzfkJVr2ZVNOoEm9xaYf2jGroJqsX7z1zS0E1QDU2b5C+4aew26teHsWNGN9iJWbHj2mnPC+5sqN1z2S5rjZlfPKTiYIxvjF/MjPEbJ2P8xskYv/Exxm98jPEbJsavl4ztlNIYCuPV1bZskyr3HwV611JnHLDRXDZ/U0rpD/PY9zkUZkivWb5PjaK5XQZ5QUrp1IhoDjwBjMnWfxvYZm77zer8Gvj1vOpIkiRJxcgYX5IkSQ1pvh3b2SV4+wKrpZROzy69W6lm1kQJuyoiOlMYj+/6lNLYhm6QJEnSL2GSj4zxjfElSVJpyWOMvyAZ21dSmEV8M+B04AvgLmrJuqhvVTNB6nAfNbM+JEmSpGJnjC9JkqSitiAd231TSj0i4nmAlNKnEdGsjtslSZKkOpLHbA7NwRhfkiSphOQxxm+yAHW+j4imQAKIiOUpZHdIkiRJKk7G+JIkSSpqC9KxfSlwD7BCRJwJPAWcVaetkiRJklSXjPElSZJU1OY7FElK6eaIGANsDgSwc0rplTpvmSRJkha6CCjMG6g8M8aXJEkqHXmN8efbsZ3NkP41MLhqWUrp3bpsmCRJkqS6YYwvSZKkYrcgk0cOpTD2XgCLAe2B14AuddguSZIk1ZE8TiyjORjjS5IklZA8xvgLMhTJOlUfR0QP4Pd11iJJkiRJdcoYX5IkScVuQSaPrCalNBboWwdtkSRJktQAjPElSZJUbBZkjO0/VnnYBOgBTK2zFkmSJKlO5XBeGdVgjC9JklRa8hjjL8gY20tVuT+Lwnh8d9VNcyRJkiTVA2N8SZIkFbV5dmxHRFNgqZTSsfXUHkmSJNWhAJrkMZ1DlYzxJUmSSkteY/y5jrEdEWUppQqgfz22R5IkSVIdMcaXJElSqZhXxvZICmPtjYuI+4CBwFezF6aU7q7jtkmSJElauIzxJUmSVBIWZIztxYCPgc2ARCG7PQEGvZIkSUVorpfsKU+M8SVJkkpIHmP8eXVsr5DNlv4SPwa7s6U6bZUkSZKkumCML0mSpJIwr47tpsCSVA92ZzPolSRJKlI5nFdGPzLGlyRJKkF5jPHn1bE9LaV0er21RJIkSVJdM8aXJElSSZjX8Cs57OeXJEmSSpoxviRJkkrCvDK2N6+3VkiSJKleRARN8nidomYzxpckSSoxeY3x55qxnVL6pD4bIkmSJKluGeNLkiSpVMxrKBJJkiRJkiRJkhqdeQ1FIkmSpBKUw6sUJUmSpJKWxxjfjG1JkiRJkiRJUlExY1uSJClnmuQwm0OSJEkqZXmM8c3YliRJkiRJkiQVFTu2JUmSJEmSJElFxaFIJEmSciSAJnmcWUaSJEkqUXmN8c3YliRJkiRJkiQVFTO2JUmSciaHyRySJElSSctjjG/GtiRJkiRJkiSpqNixLUmSJEmSJEkqKg5FIkmSlCcBTXJ4maIkSZJUsnIa45uxLUmSJEmSJEmqMxGxTUS8FhETI+L4edTbNSJSRPSa3zbN2JYkScqZIIfpHJIkSVIJa8wxfkQ0Ba4AtgQmA6Mi4r6U0oQa9ZYCjgaeW5DtmrEtSZIkSZIkSaorfYCJKaW3UkrfAbcBO9VS7+/AucC3C7JRO7YlSZIkSZIkSXWlHHivyuPJWVmliOgBtEspDV3QjToUiSRJUo4E+ZxYRpIkSSpVjSDGXy4iRld5fFVK6aoFXTkimgAXAQf9lJ3asS1JkiRJkiRJ+rmmp5TmNdnjFKBdlcdts7LZlgLWBoZHBMBKwH0RsWNKqWqHeTV2bEuSJOWMGduSJElSaWnkMf4oYPWIaE+hQ3svYJ/ZC1NKnwHLzX4cEcOBY+fVqQ2OsS1JkiRJkiRJqiMppVnAEcBDwCvAHSmllyPi9IjY8edu14xtSZIkSZIkSVKdSSndD9xfo+zkudTdZEG2ace2JElSzmTj1kmSJEkqEXmM8R2KRJIkSZIkSZJUVMzYbmSCfP7C0pgtUub5aIymPn1JQzdBtXht2pcN3QTVsO7KyzR0E1RDQ3+qBI1+Yhmp5BjjNz7G+I3T6CHnNHQTVIuVfnVZQzdBNXw6+A8N3QTV0NCfKnmN8c3YliRJkiRJkiQVFTu2JUmSJEmSJElFxaFIJEmS8iTAEREkSZKkEpLTGN+MbUmSJEmSJElSUbFjW5IkSZIkSZJUVByKRJIkKWea5PE6RUmSJKmE5THGN2NbkiRJkiRJklRUzNiWJEnKkQCa5C+ZQ5IkSSpZeY3xzdiWJEmSJEmSJBUVO7YlSZIkSZIkSUXFoUgkSZJyJofzykiSJEklLY8xvhnbkiRJkiRJkqSiYsa2JElSrgRNyGE6hyRJklSy8hnjm7EtSZIkSZIkSSoqdmxLkiRJkiRJkoqKQ5FIkiTlSJDPiWUkSZKkUpXXGN+MbUmSJEmSJElSUTFjW5IkKU8CmuQwm0OSJEkqWTmN8c3YliRJkiRJkiQVFTu2JUmSJEmSJElFxaFIJEmScqZJHmeWkSRJkkpYHmN8M7YlSZIkSZIkSUXFjG1JkqQcCSCHyRySJElSycprjG/GtiRJkiRJkiSpqNixLUmSJEmSJEkqKg5FIkmSlDN5nFhGkiRJKmV5jPHN2JYkSZIkSZIkFRU7tiVJkiRJkiRJRcWhSCRJknImh1cpSpIkSSUtjzG+GduSJEmSJEmSpKJixrYkSVKOBGY2SJIkSaUkrzF+Ho9ZkiRJkiRJklTE7NiWJEmSJEmSJBUVhyKRJEnKk4DI48wykiRJUqnKaYxvxrYkSZIajYi4JiI+jIiXqpS1iohhEfFG9rdlVh4RcWlETIyIFyKiR5V1DszqvxERB1Yp7xkRL2brXBp5/AYgSZIklQA7tiVJknImGvC2AK4DtqlRdjzwSEppdeCR7DHAtsDq2e03wD+h0BEOnAL0BfoAp8zuDM/qHFZlvZr7kiRJkopOI4/x64Qd25IkSWo0UkpPAJ/UKN4JuD67fz2wc5XyG1LBCKBFRLQGtgaGpZQ+SSl9CgwDtsmWLZ1SGpFSSsANVbYlSZIkqYg4xrYkSZLq03IRMbrK46tSSlfNZ50VU0rTsvvvAytm98uB96rUm5yVzat8ci3lkiRJkoqMHduSJEk5EkCThh1WenpKqdfPXTmllCIiLcwGSZIkScWsEcT4DcKhSCRJktTYfZANI0L298OsfArQrkq9tlnZvMrb1lIuSZIkqcjYsS1JkpQzRTixzH3Agdn9A4FBVcoPiIL1gM+yIUseAraKiJbZpJFbAQ9lyz6PiPUiIoADqmxLkiRJKlpFGOP/Yg5FIkmSpEYjIm4FNqEwFvdk4BTgHOCOiDgUeAfYI6t+P7AdMBH4GjgYIKX0SUT8HRiV1Ts9pTR7QsrfA9cBiwMPZDdJkiRJRcaObUmSJDUaKaW957Jo81rqJuDwuWznGuCaWspHA2v/kjZKkiRJanh2bEuSJOVMDueVkSRJkkpaHmN8x9iWJEmSJEmSJBUVM7YlSZJyJYg8pnNIkiRJJSufMb4Z21qoXn/tNfr27FZ5W6HV0lx2ycUN3azce/ihB1m3Sye6rNmR8887p6GbU/KO+N2vWWOV1vTr1bWy7OQTjqNv9y5s0Kc7+++1K5/NmFG57OUXX2CrTfuzfq916d+7G99++y0AO2yzGX26dWaj9Xqy0Xo9+ejDD+v7UErKF5/P4PjDD2CPLXuz51Z9eHHsSP510Rnsu10/9huwAUceuAsffTANgC+/+Iw/HbYn+27fn722WY/Bd95UuZ2jD9qVzbutzB9/vWdDHUru+B4mSXVvfu+1M2fOZL999qTLmh3ZsF9f3pk0qXLZ+eeeTZc1O7Jul04Me/ihemx1afOcNE5PPTaMARt1Z9v+Xfnv5RfOsXz0iKfYfZsN6LpKCx4ecm9l+cinn2DXrfpV3np0WI5HHhxcjy0vXVv2XIXx/zmAl64+iGN37zXH8nbLL8WD5+zKs5fvw8gr92Xr3qsC0GuNFRlx+b6MuHxfnrtiX3bs16GeW17afA9Tfai3ju2IODEiXo6IFyJiXET0zcqHR8Sc7zx125YWEfH7etjPTlWOd3REbFDX+2xoa3TqxHNjxvHcmHE8M3IMzZs3Z8edd2noZuVaRUUFfzjqcAYNfoDnX5jAwNtu5ZUJExq6WSVtn/0OYOC9Q6uVbbLZFjw9ajxPjXyeDh1X5x8XFD7YZ82axW8PPZCLLrmSZ0e/wOAHH2GRRRapXO/f19zAEyPG8MSIMSy/wgr1ehyl5qLTj2f9jbbgjmGjuGnIU6zacQ32O+wobr7/GW4a8hQbbLo1V192HgB33vhf2ndck5uHPs0/bx7CpWedxPfffQfAfocdxakX/rshDyVXfA+TGjdj/NKI8Rfkvfa6a66mZYuWvPzqRI48+hhOPOEvALwyYQIDb7+NseNf5r4hD3L0kb+noqKiIQ6jpHhOGqeKigrOOOlP/PPGu7nvsVHcP+hO3nz91Wp1Wpe344yL/sV2O+9RrbxP/4246+FnuOvhZ7jm9iEstlhz+m08x7zI+omaNAkuPnxTdvrbvXT/7Q3svkkn1ly5VbU6f9m7D3c9+QbrH3ELB5zzAJccvhkAL7/zMf2PuoX1jriZnU66h8uO3JymTfKX8VoXfA9TfamXju2IWB8YAPRIKa0LbAG8Vx/7nosWQJ0HvcAjQNeUUjfgEOC/9bDPRuOxRx+h/WodWGWVVRq6Kbk2auRIOnToSPvVVqNZs2bsvudeDBk8qKGbVdL6bbARLVtVD6Y222IrysoKoz/16rMeU6dMAeCx/z1Ml7XXYe11C9ndrZZdlqZNm9Zvg3Pgyy8+4/lRz7DjHvsDsEizZiy1dAuWXGrpyjrffPP1j5duRfD1V1+SUuKbr79k6WVa0jQ7f737b0zzJZas92PIK9/DFr6gEAA21E2lwxi/dGL8BXmvHTJ4EPvufyAAv9p1N4Y/+ggpJYYMHsTue+7Foosuyqrt29OhQ0dGjRzZEIdRUjwnjdOL40az8qqr0W6V9izSrBnb7rQrjz48pFqd8nar0Knz2jSZRwfpw0PvZcNNt2TxxZvXdZNLXu81VuLNqZ8x6f3P+X7WDwx8/HUGrFc98zolWLp5MwCWab4o0z7+EoBvZs6i4ocEwKLNykgp1W/jS5jvYfUvrzF+fe27NTA9pTQTIKU0PaU0tWaliNgqIp6NiLERMTAilszKe0bE4xExJiIeiojWWfnwiLgky5Z4KSL61LLNLhExMqvzQkSsDpwDdMjKzo+IJSPikWy/L0bETlXW/1tEvBYRT0XErRFxbFbeISIezNr0ZESsWXPfKaUv04/vjEsAuXqXHHj7beyx594N3Yzcmzp1Cm3btqt8XF7elilZp6oaxs03XMsWW20DwMSJbxAR7LrjtmzSrzeXXnR+tbpH/PbXbLReT84/5wwDrV9g6nvv0LLVcvz9uN+z/w4bcuZfj+Sbr78C4J8X/J0d+nfhoUED+c0fTgBg9/0P4+2Jr7H9+muyz3b9Oebkc2jSxC65huB7mNSoGeOXSIy/IO+1U6dOoW27Qp2ysjKWXmYZPv74Y6ZMmXPdqVN9n/6lPCeN04fTprFS6/LKxyuuVM6H06b95O08cN9dbLvzbguzabn1/+3debxUdf3H8dcHLq65IKjBBXcFQQUE3Pfcd1NRMdPUbLXFn5W/MjWz1LJSS0tLf5lLIu4r7qSZqWBaai64C25o7oYsn98fc8DLFVy5d87MeT173Id3znxn5jv3EzPv8z3f8z29ey7MMy++Puv2xMmv09pj4dna/OSc29lz0/5MOPsALjl6Jw757dhZ9w3v92nG/24fxv32c3zjNzfNGujWJ+NnmDpLZ+2lXwf0jYiHI+LUiNi4fYOI6AkcDmyemWsC44BDIqIb8Gtgt8wcCpwJ/KTNQxcqZkt8tbivvS8DJxVthgHPAIcBj2bm4Mz8DvBfYJfidTcFfhE1w4FdgUHANsXjZzodOLjo06HAqXN64xGxS0Q8CFxFbUbHnNocVJzGOO7FyS/OqUnDeeedd7jqysv57G6717srUqn84mc/paWlhd33HAnUliL5++23cfqZZ3P1DX/hyisu5S833wjAaWeezW133cNV14/l9tv+yqjzznm/p9b7mD5tOg/dfy+f3fsAzr7iVhZYcCHO+t2vAPjKoT/kitvuZ6uddmf02acD8Pdbb2KVAatz1e0PcvYVt3LCUd/hjddfq+dbkOapiKjbj5qKGb9iGV/SJ/fi88/xyIP3s/7Gm9e7K5UxYpN+nHPDA6y0zxnscsRlnPGdrZgZSe566DmGfvlsNvjmn/nOiOHM382zZ9W4qpjxO2VgOzPfAIYCBwEvAqMiYr92zdYBBgC3RcQ9wL7AskA/YDXg+mL74UCfNo/7c/EatwCLRsTi7Z73duD7EfE9YNnMfHsOXQzgpxHxT+AGoBVYGlgfuCwz/5uZrwNXAERtlsl6wOiiT6dRm7Eyp/d+SWb2B3YGfjyXNqdn5rDMHLZkzyXn1KThXDvmGgYPWZOll1663l2pvN69W3nmmXfPCp448RlaW1vf5xHqKOedfRbXXnMVp5159qwP/t6tfVhv/Q3p0bMnCy20EFtstQ333vOP2n29a3VaZJFF2G3EXtw9/q669b3RLdWrN0t9ujerDa6NXWy2zU48dP8/Z2uz9U67c3NxAZ8rLzyXTbbagYig73Ir0LvPsjz52COd3m/5GSaVmRm/eTL+h/ms7d27lWeerrWZNm0ar736Kj169KC19b2PnZlh9PFZk3Jaqlcvnnv23Zmjzz83kaV6zfFjYq7GXHExn9l6h9muq6OPb9LkN+mz5CKzbrf2XISJL705W5t9t1qNi255GIA7HnyWBbq10HPRBWdr89DT/+GNt6cycLkeHd/pCvAzTJ2l086rzszpmTk2M48Evk5tlkRbAVxfzLAYnJkDMvOAYvv9bbavnplbtn3q9i/V7nXPA3YE3gaujojN5tC9vYElgaHFrI/ngQXe5+10AV5p06fBmbnqB7z/W4AVilkrTe+CUX92GZKSGDZ8OBMmPMITjz/OO++8w+hR57Pd9jvWu1uVc8N1Yzj5xBM474JLWWihd9fS+8zmW/LA/ffx1ltvMW3aNP526y30X3VVpk2bxkuTJwMwdepUrh1zFasOGFiv7je8HksuzVK9+swanB73t7+w/Er9eOrxR2e1ueX6q1l2xZUB+HTvPoz7218AeGnyCzz1+ARa+y7X6f2Wn2FS2ZnxmyPjf5jP2u2235Fzzz4LgIsvupCNN92MiGC77Xdk9KjzmTJlCk88/jgTJjzC8LXes3qMPiJrUk6rDRrKU48/yjNPPcHUd97hmssuYtMttvtIz3HNZaPZdifPbJ5Xxj38HCv1Xpxll16Ubi1d2H3jVbjq74/O1ubpF15nk8HLANCvb3cWmK8rL776Nssuveisi0Uus9Qi9OvbnSef9yzNecHPMHWWls54kYjoB8zIzJnT3QYDT7Zr9nfglIhYKTMnRMTC1GZVPAQsGRHrZubtxWmLq2Tm/cXj9gBujtrVyF/NzFfbvfYKwGOZeXJELAOsAdwLLNKm2WLAC5k5NSI2pTaLBOA24LSIOJba32p74PTMfC0iHo+I3TNzdNSmXq6Rmfe2e+2VqJ0OmRGxJjA/8NJH/gM2mDfffJObbrie35x6Wr27ImprVf3qpN+ww3ZbMX36dPbdb38GDHSAtCMduO/e3HbrX3jppckMXHlZDjv8SE484XimTJnCZ3eora09bK21+eXJp7J49+589eBv8ZmN1iEItthqa7bcejvefPNNdttpW6ZOncr0GdPZeJPP8PkvHFjnd9bYDj3yeI749heZNvUdevddjh/+7FR+8r8H89RjE+jSJfh0a1++9+Pa8iT7f/07HP3drzJym/XITL723aNYfIna7I2D9tiGJx97mLfffJPt1x/A4cf+mnU28or2HcXPsI7hgiCaF8z4zZPx5/ZZe/RRR7Dm0GFsv8OO7Lf/Aey/3z4M7L8S3bsvwdnnng/AgIED2XX3EQxZYwAtLS2cePIpXgh7HrAm5dTS0sL3f3wCX9p7Z6bPmMEue+zDSv1W5Tc/P4aBg4aw6Zbb8a97xvOtA0fy2quvMPb6azjllz/hsptqZ15OfPpJnps0kWHrblDnd9I8ps9Ivv3bm7nimF3o2jU467r7+fdTL/PDfdbh7odf4Ko7HuOwP9zCqd/YnIN3GUImfPGX1wGw3sDeHDpiOFOnzWBGJt885WZeeu2/dX5HzcHPsPqoYsaPzrgYWUQMpbaG3uLANGACcFBmTo6IscChmTmumGlxPLVwCHB4Zl4eEYOBk6mF0xbgxMz8ffHYe4CNgW7A/pk526VSI+IwYB9gKvAcMDIzX46I86gF4GuK17wC+BS1df/WAbbJzCci4ihgJLUZHi8AY4rXXh74LbXTE7sB52fm0e1e+3vA54vXfhv4Tmb+9f3+VkOHDsvb7hj3gX9Tqerefmd6vbugOXjkuTfq3QW1s8Yyi9W7C2pn/bWHMX78uLrlzhUHDMrjzrumXi/PiCGt4zNz2Ae3VNmZ8c340rz26PNmyTIaduAf6t0FtfOfK75V7y6oHTN+fTJ+p8zYzszx1Narm9N9m7T5/SZg+Bza3ANsNJenPyczv/U+r30ctSukt98+st2mdefyFCdk5lERsRBwCzC+ePzjwNZze92izfHUArUkSZLUVMz4kiRJqqdOGdhucKdHxABq6/GdlZl317tDkiRJH1tQ1yuXSyVhxpckSc2johm/oQe2284E6cDXaD/rQ5IkSVIHMeNLkiTpw2jogW1JkiR9NAF0qXcnJEmSJM0zVc34VXzPkiRJkiRJkqQG5sC2JEmSJEmSJKmhuBSJJElSxVTxwjKSJElSM6tixnfGtiRJkiRJkiSpoThjW5IkqWKqN5dDkiRJam5VzPjO2JYkSZIkSZIkNRQHtiVJkiRJkiRJDcWlSCRJkiqmgteVkSRJkppaFTO+M7YlSZIkSZIkSQ3FGduSJEkVEkCXSl5aRpIkSWpOVc34ztiWJEmSJEmSJDUUB7YlSZIkSZIkSQ3FpUgkSZIqpooXlpEkSZKaWRUzvjO2JUmSJEmSJEkNxRnbkiRJlRJEBS8sI0mSJDWvamZ8Z2xLkiRJkiRJkhqKA9uSJEmSJEmSpIbiUiSSJEkVU8ULy0iSJEnNrIoZ3xnbkiRJkiRJkqSG4oxtSZKkCgmgSwUvLCNJkiQ1q6pmfGdsS5IkSZIkSZIaigPbkiRJkiRJkqSG4lIkkiRJVRLVvLCMJEmS1LQqmvGdsS1JkiRJkiRJaigObEuSJEmSJEmSGopLkUiSJFVMFU9TlCRJkppZFTO+M7YlSZIkSZIkSQ3FGduSJEkVE1RwOockSZLUxKqY8Z2xLUmSJEmSJElqKA5sS5IkSZIkSZIaikuRSJIkVUgAXap3lqIkSZLUtKqa8Z2xLUmSJEmSJElqKM7YliRJqpgqXlhGkiRJamZVzPjO2JYkSZIkSZIkNRQHtiVJkiRJkiRJDcWlSCRJkiomqneWoiRJktTUqpjxnbEtSZIkSZIkSWooztiWJEmqmCpeWEaSJElqZlXM+M7YliRJkiRJkiQ1FAe2JUmSJEmSJEkNxaVIJEmSKiSALtU7S1GSJElqWlXN+A5sl0wCmVnvbqiN6TOsRxm1VPETuwGsscxi9e6C2rnyvkn17oLaeeXtqfXugqROlsC06TPq3Q21MWWa9SijnovMX+8uaA7+c8W36t0FtdN9i2Pq3QW1M+XhZ+vdhUpyYFuSJKlSopIXlpEkSZKaVzUzvmtsS5IkSZIkSZIaigPbkiRJkiRJkqSG4lIkkiRJVRIQ1TtLUZIkSWpeFc34ztiWJEmSJEmSJDUUB7YlSZIkSZIkSQ3FpUgkSZIqpoJnKUqSJElNrYoZ3xnbkiRJkiRJkqSG4oxtSZKkCgmgSxWvLCNJkiQ1qapmfGdsS5IkSZIkSZIaigPbkiRJkiRJkqSG4lIkkiRJFVO9kxQlSZKk5lbFjO+MbUmSJEmSJElSQ3HGtiRJUtVUcTqHJEmS1MwqmPGdsS1JkiRJkiRJaigObEuSJEmSJEmSGopLkUiSJFVMVPE8RUmSJKmJVTHjO2NbkiRJkiRJktRQnLEtSZJUMVG9yRySJElSU6tixnfGtiRJkiRJkiSpoTiwLUmSJEmSJElqKC5FIkmSVDEVPEtRkiRJampVzPjO2JYkSZIkSZIkNRRnbEuSJFVNFadzSJIkSc2sghnfGduSJEmSJEmSpIbiwLYkSZIkSZIkqaG4FIkkSVKFBBBVPE9RkiRJalJVzfjO2JYkSZIkSZIkNRRnbEuSJFVJQFRvMockSZLUvCqa8Z2xLUmSJEmSJEnqMBGxdUQ8FBETIuKwOdx/SEQ8EBH/jIgbI2LZD3pOB7YlSZIkSZIkSR0iIroCpwDbAAOAvSJiQLtm/wCGZeYawIXAzz7oeR3YliRJqpio448kSZKkea/kGX8tYEJmPpaZ7wDnAzu1bZCZN2fmW8XNvwN9PuhJHdiWJEmSJEmSJH1cPSNiXJufg9rd3wo83eb2M8W2uTkAuOaDXtSLR0qSJEmSJEmSPq7JmTlsXjxRRHwOGAZs/EFtHdiWJEmqGtcEkSRJkppLuTP+RKBvm9t9im2ziYjNgR8AG2fmlA96UpcikSRJkiRJkiR1lLuAlSNi+YiYD9gTuLxtg4gYApwG7JiZL3yYJ3XGtiRJUqUEUfLpHJIkSZI+inJn/MycFhFfB64FugJnZub9EXE0MC4zLwd+DnwKGB0RAE9l5o7v97wObEuSJEmSJEmSOkxmXg1c3W7bEW1+3/yjPqdLkUiSJEmSJEmSGooztiVJkiomynuWoiRJkqSPoYoZ3xnbkiRJkiRJkqSG4oxtSZKkConiR5IkSVJzqGrGd8a2JEmSJEmSJKmhOLAtSZIkSZIkSWooLkUiSZJUNVU8T1GSJElqZhXM+M7YliRJkiRJkiQ1FAe29bF86Yv7s2zr0gwbvPqsbfuM3JO1hw1h7WFD6L/y8qw9bAgATz7xBEssutCs+w7+2pfr1e2mN3CVFVh76CDWW2tNNlpvLQAuuWg0w4eszqILtnD3+HGz2k6dOpWDDtiPtYcOYuiggZzws+Pq1e2m9sjDD7H+2mvO+mldanFO+fVJs+7/9Ym/ZNEFu/LS5MkAvPrqq4zYdUfWW2sIa625Ouf86f/q1fVK+tKB+7NM76UYOni1enelEq467w8csttmfHvXTbnq3N8DcPv1V/DtXTdlxJp9ePT+e2e1feS+f3DoHlvUfkZszh03XfO+z6P3F3X8n6Ryuv66MQxZfVUGDViFX/z8+PfcP2XKFPb93J4MGrAKm264Lk8+8QQAN91wPRuuO5y1hw5iw3WH85ebb+rknjevG6+/lrWHDGT4Gv056Rc/e8/9U6ZM4YDPj2T4Gv3ZcpP1eOrJJwB46skn6NNzETZZdyibrDuU//nGVzu5583tphuuZf2hA1ln8Kr8+pdzrstB+41kncGrss1m68+qy0UXnMdnNhg266fX4vNz3z/v6dzON6nrrh3DGgP7MbD/Svx8Dvu1U6ZM4XMj92Bg/5XYcL21Z31+Afz8+GMZ2H8l1hjYj+uvu7YTe938thi+Avee9RXuO+erHLrXeu+5v+9SizLml5/j9tMP5M4/fJGt1l5x1n2rrbAUY3+zH+P/70vcdcZBzN+ta2d2vWFVMeN3ylIkEfEDYCQwHZgBfCkz74iIscChmTnu/R4/j/uyODAyM0/t4NfZD/g5MBFYADgtM3/Vka/Zmfb5/H58+atf54tf2HfWtrPPO3/W74d9939YdNHFZt1eYYUVuWPcPzq1j1V11bU30rNnz1m3Vx24GueOupBvfu0rs7W75KLRvPPOFO4Yfy9vvfUWwwevxu4j9mTZ5Zbr5B43t5VX6cdtd9wNwPTp0+m3Yl922HFnAJ55+mluvPE6+vZdZlb73592Kv37D+CCiy5n8osvsuagVRmx597MN9989eh+5eyzb+2z7cD9P1/vrjS9pyY8yI0Xn8exZ19FS7du/ORre7PmhpvTd8X+HPqL33P6MYfN1n6ZFftz/LnX0LWlhf+8+DyH7rEFwzbagolPTJjj8/RaZvk6vTOpOsz4zZPxp0+fzv9882Auu+paWvv0YeP112a77Xeg/6oDZrX50x/PZPHFu3PvAw9z4QXnc8Thh3HWOefTo2dPLrjoMnr17s0D99/Hzjtsw8OPPV3Hd9Mcpk+fzvcO+QYXXn4NvVv7sMVG67D1ttvTr01Nzj3rTBZffHHu+ueDXDx6FD/64fc540/nAbDc8isy9vbx9ep+05o+fTr/+z/f5IJLr6ZXax+23nRdttx2e/r1f7cu5/3p/1h88e78/Z5/c+mFozjmyO9z+h/PY9cRI9l1xEgA/n3/v9hv5O6stsbgOr2T5jF9+nS+9Y2vcdU119Papw8brDOc7bffkVUHvFuTP555Bt0X7879D07gglHn84Pvf49zzhvFvx94gNGjzufue+/n2UmT2HbrzfnXAw/TtauDqJ9Uly7Bid/chu2+cy4TX3yNv/7uAK7828M8+OTkWW2+t88GXDT2AX5/+d30X7Ynlx63J/33+g1duwRnfn8nDjj2Mv716AssseiCTJ0+o47vRmXW4TO2I2JdYHtgzcxcA9gcqGfSWRzorEPWozJzMLA+8IOI6NtJr9vhNthwI5bovsQc78tMLrpwNCP22KuTe6U56d9/VVZZpd97tkcEb775JtOmTePtt9+m23zzsciii9ahh9Ux9uYbWX75FVlm2WUB+N/vHsKPf3I8Ee8e3YwIXn/jdTKTN958g+7dl6ClxcshdJYNNtyIJZaY82eb5q2Jjz/CSqsNYf4FF6RrSwsDhq7DnTddQ58VVqZ1uZXe035mO4B33pky69/N3J5HUscy4zdXxh93152ssOKKLL/CCsw333zsuvseXHnF5bO1ueqKyxj5udqB350/uxtjb76JzGTQ4CH06t0bgFUHDOS/b7/NlClTOv09NJu7x93J8iusyHLL12qyy257cM1VV8zW5pqrrmDPvfcBYMddduXWsbWaqOP8Y/xdLL/Ciixb1GXnz47g2nZ1ufbqKxgxslaX7Xfelb/+5eb31OWSC0ex8667d1q/m9ldd97JiiuuNOvza/c99uTKKy6brc2VV1zG3vvUJuV9dtfdGHvTjWQmV15xGbvvsSfzzz8/yy2/PCuuuBJ33XlnPd5G0xnevzePTnqZJ559hanTZjD6pvvZfv1VZmuTCYsuND8Aiy08P89Ofh2AzYevwH2PvcC/Hn0BgJdfe5sZM/xs05x1xlIkvYDJmTkFIDMnZ+ak9o0iYsuIuD0i7o6I0RHxqWL70Ij4S0SMj4hrI6JXsX1sRJwUEfdExH0RsdYcnnNgRNxZtPlnRKwMHAesWGz7eUR8KiJuLF73XxGxU5vH/zAiHoqIv0bEnyPi0GL7ihExpujTrRHR//3+AJn5EjCh+Fs0vdv+eitLLbU0K6288qxtTzzxOOsMX5MtP7MJt/311jr2rrlFBDtvvzUbrjucM/9w+vu23fmzu7Hwwguz0nKtDFh5Ob7xrUMc0OtgF40exW4j9gRqO4e9erey+hqDZmtz0Je/xsMPPsgqK/Rh3WGDOP6EX9Gli6tGqfn0XbE/D/7jDl5/5WWmvP02d//1JiY/9554MJtH/nU33951U/5n98/wxR8cR9eWlo/1PIKI+v2oaZjxmyjjPztpIq193h2fb21t5dlJE2drM2nSJPoUbVpaWlhs0cV46aWXZmtz2SUXMWjwmsw///wd3+km9+ykSfTu02fW7d5zqMmzkybNqltLSwuLLrYYLxc1eerJx9l0vWHssNVm3H7bXzuv403u2UkT6d36bl16tbby7LOzf/Q9++y7bVpaWlhk0cV4+eV2/1YuvpCdd9uj4ztcAZMmTZz12QTQ2tqHiRPbf35NpE/f2f+tvPTSS0yc+N7HTmr370wfT++ei/DMC6/Nuj3xxddp7bnIbG1+8sdb2HOL1ZlwwTe45Lg9OeTXtaVgVu7Tg0y4/Gd78bfTDuCQPdft1L43sipm/M6YBngdcEREPAzcQG2Gw1/aNoiInsDhwOaZ+WZEfA84JCKOBX4N7JSZL0bEHsBPgP2Lhy6UmYMjYiPgTKD9oqhfBk7KzHMjYj6gK3AYsFoxy4KIaAF2yczXin78PSIuB4YBuwKDgG7A3cDMc7lOB76cmY9ExNrAqcBmc/sDRMQy1E5V/Odc7j8IOAig7zLLzKlJQ7lg1J8Zscees25/ulcvHnr0SXr06MHdd49nj912Yfw997Gos4PnuetuuoXera28+MIL7LjdVqzSrz8bbLjRHNuOu+tOunbpyiOPP8Mr//kPW35mYzbdbHOWX2GFTu51NbzzzjtcfdUVHHX0T3nrrbc44WfHcemVY97T7sbrr2X1NQZx5ZgbeOyxR9l5u61Yb/0N/feiptNnhZXZab+v8eOvjmSBBRZiuX4D6dL1/Q/irLz6mvzqopt55rFH+M0R32LI+pt+rOeRNE+Y8T9Kxu/b+Bn/g/z7gfs54gf/O8d8o8619Kd7cc+/H2OJHj245x/j+fyeu3HbXfd6dmZJ3D3uThZcaEFWHeA1XVRtIz4zkHPG3MtJo+9g7QGtnPG/OzF0/9No6dqF9VbvywZfPoO3pkzlml98jrsffpaxdz9R7y6rhDp8zy8z3wCGUgt1LwKjirXp2loHGADcFhH3APsCywL9qAXZ64vthwN92jzuz8Vr3AIsWqyt19btwPeLEL1sZr49hy4G8NOI+Ce1UN4KLE3t1MLLMvO/mfk6cAVAMctkPWB00afTmPssjT2K550AnJqZ/51To8w8PTOHZeawnj2XnMtTNYZp06Zx+aWXsOvu7x59nn/++enRowcAa645lBVWWJFHHnm4Xl1sar1bWwFYcqml2GHHnRk/7q65th096s9svuVWdOvWjSWXWop11l2Pf9zdaUthVs71117DoMFDWGrppXn8sUd58snHWX+tIazWbwUmTnyGDdcdxvPPPcc5Z/+RHXfahYhgxRVXYtnllufhhx6sd/elDvGZXfbiZ+eN4egzL+ZTiy5G72U/3IG1PiuszAILLcTTEx76RM9TZVHHHzUHM/5HzPhLljvj9+rdysRn3l1JZuLEifTq3Tpbm969e/NM0WbatGm8+tqrszL+xGeeYa8Ru3LaGX9khRVXRJ9cr969mfTMM7NuT5pDTXr17j2rbtOmTeO1V19liR49mH/++VmiqM3gIUNZbvkVmDDB/a95oVfvViZNfLcuz06cSK9evWdv0+vdNtOmTeP1115liSV6zLr/0osuYJddna09r/Tu3Trrswlg4sRnaG1t//nVyjNPz/5vpUePHrS2vvexvdv9O9PHM2ny6/RZ6t2Daa1LLsLEYqmRmfbddjAXjf03AHc8MJEF5muh52IL1dbk/udTvPTa27w9ZRpj7pjAkJU/3an9b1RVzPidMqUpM6dn5tjMPBL4OrVZEm0FcH1mDi5+BmTmAcX2+9tsXz0zt2z71O1fqt3rngfsCLwNXB0Rc5pxsTewJDC0mOHxPLWZF3PTBXilTZ8GZ+aqc2k7qlhzcD3guIho+n+JN914A6v060+fNqfNvfjii0yfPh2Axx97jAkTHmH55R10mNfefPNNXn/99Vm/33jj9QwYOHCu7fv0XYa/jL15Vvu77ryDVfq97xm3+gRGX3A+uxfLkAxcbXUee+o57nvoMe576DFaW/tw6+3jWPrTn6Zv32UYO/YmAF54/nkeefgh/72oab36cu3iMS8+O5E7brqGDbbZZa5tn5/4FNOnTau1n/QMkx5/lCV79/3Iz6PGEBFPFMtH3BMR44ptS0TE9RHxSPHf7sX2iIiTI2JCsSzFmm2eZ9+i/SMRse/cXk8fjxm/eTL+0GHDeXTCBJ54/HHeeecdLho9iu2232G2NttuvyPnnfMnAC69+EI23mRTIoJXXnmF3XbZgR8d81PWXW/9enS/KQ0ZOpzHHp3Ak0/UanLJhaPYetvtZ2uz9bbbc/65ZwNw+SUXseHGtZpMbrP/9cTjj/HYoxNYbjnz5LwweM1hs9Xl0osvYMt2ddly2+254LxaXa689CLW32iTWdcGmTFjBpdfciE77zqi0/verIYNH86ECY/M+vwaPep8ttt+x9nabLf9jpx79lkAXHzRhWy86WZEBNttvyOjR53PlClTeOLxx5kw4RGGr/WeFbD0MYx7cBIrtS7Bsp9enG4tXdh9s4Fc9bfZD7A9/fyrbLLmcgD0W6YHC8zXwouvvMX1dz3GwOWXZMH5W+jaJdhw0LL8u81FJ6W2OnwpkojoB8zIzEeKTYOBJ9s1+ztwSkSslJkTImJharMqHgKWjIh1M/P2iOgGrJKZ9xeP2wO4OSI2AF7NzFfbvfYKwGOZeXJxquAawL1A24V9FgNeyMypEbEptVkkALcBpxWnSrZQuzjO6cXpjI9HxO6ZOTpq31BrZOa9c/sbZOa4iDgb+Cbwvx/uL1du+35uJLfcMpaXJk9mpeX7cvgRR7HfFw7gwgtGsXubZUgAbrv1Fn78oyNp6daNLl26cPJvfutazh3gheefZ+Qetf3JadOmMWKPvdhiy625/LJL+M4h32Tyiy+y2y47sMYag7j0yjEc9OWv8pWD9mf4kNXJTD73+f1YbfU16vwumtObb77JzTfdwEm/+d0Htv3uYYfz5YO+wDrDBpGZ/Ognx9KjZ89O6KUAPv+5vbj1L2OZPHkyKy7Xhx8e8SP22/+AeneraZ1w6Bd5/ZX/0NLSwoGH/YSFF1mMO266hjOPP5zX/vMyx37j8yzXbyCHn3oeD/7jTi79v1Po2tJCly5dOPD7P2XR4iLGc3oeNYVNM7PtXsxhwI2ZeVxEHFbc/h6wDbBy8bM28Ftg7YhYAjiS2tITCYyPiMsz8z+d+SaalRm/uTJ+S0sLJ5x4MjvvsA0zpk9nn32/wKoDBnLMj45kyNChbLf9jnx+v/354v6fZ9CAVei+xBL835/OA+D0357CY49O4PifHsPxPz0GgMuuHMOSSy1Vz7fU8FpaWjjuFyex+87bMWP6dEbusx/9Bwzk2B8fxeA1h7LNdjuw977789UD92P4Gv1ZvHt3fv/HcwG4/bZbOe6YH9GtWwvRpQsnnHQK3d3/midaWlr46Qknstdnt2P69Bns9bl96b/qQI7/yVEMHjKUrbbdgZH7fIGvH7Qf6wxelcW7d+e0M8+Z9fjbb7uV3q19WNaJK/NMS0sLvzrpN+yw3VZMnz6dfffbnwEDB3L0UUew5tBhbL/Djuy3/wHsv98+DOy/Et27L8HZ554PwICBA9l19xEMWWMALS0tnHjyKXTt2rXO76g5TJ+RfPvkMVzxs73o2qULZ11zD/9+YjI//MLG3P3QJK762yMc9tsbOPXQ7Th497XJTL54fO1CrK+88V9OHn0Hf/3dAWQm194xgTF/n1Dnd6Syio6+anJEDKW2ht7iwDRqp+wdlJmTI2IscGgRCjcDjgdmXmnk8My8PCIGAydTC6ctwImZ+fvisfcAG1NbH2//zJzt8rXFTs8+wFTgOWBkZr4cEedRC8DXFK95BfApYBy1Uya3ycwnIuIoYCS1GR4vAGOK116e2k5Tr+K1z8/Mo9u99n7AsMz8enG7N7U1/FYuTnucozWHDsvb/j735SPU+aZ79d1S8oLv5dStxbWNy+bK+7yQYtl8b+Q2PPrAvXU7Y2/goDVz1NW31OvlWb3PIuMzc9j7tYmIJ6jlqMlttj0EbJKZz0btQoNjM7NfRJxW/P7ntu1m/mTml4rts7XTJ2PG/+gZ/5a/3Tm3u1UHU6bNqHcXNAfTphvyy2ixhbrVuwtqp/sWx9S7C2pnyrjfMuP1iWb8TtbhM7Yzczy10/TmdN8mbX6/CRg+hzb3AHO++h2ck5nfep/XPo7aFdLbbx/ZbtPcLrF6QmYeFRELAbdQXFgmMx8Htp7b6xZt/gj8sc3tSUDDn6YoSZL0CfWcubxI4fTMPL1dmwSui4gETivuXzozny3uf47aeslQmwH8dJvHPlNsm9t2zQNm/Fm3zfiSJEl10uED2w3u9IgYQG09vrMy8+56d0iSJOmTivpexnHyh5jNsUFmToyIpahdYHC2q+hmZhaD3tLHYcaXJElNp84Zvy4admC77UyQDnyN9rM+JEmS1MEyc2Lx3xci4hJgLeD5iOjVZimSF4rmE4G+bR7ep9g2kdpyJG23j+3grusTMuNLkiTpw3IxVEmSJJVGRCwcEYvM/B3YErgPuBzYt2i2L3BZ8fvlwOejZh1qFxt8FrgW2DIiukdE9+J5ru3EtyJJkiSpAzXsjG1JkiR9dAFEuc9SXBq4JGqdbAHOy8wxEXEXcEFEHAA8CYwo2l8NbEvt4oVvAV8AKC4m+GNg5lW5j87MlzvvbUiSJEmdowEyfodwYFuSJEmlkZmPAYPmsP0l4DNz2J7A1+byXGcCZ87rPkqSJEmqP5cikSRJkiRJkiQ1FGdsS5IkVUwFz1KUJEmSmloVM74ztiVJkiRJkiRJDcUZ25IkSVVTxekckiRJUjOrYMZ3xrYkSZIkSZIkqaE4sC1JkiRJkiRJaiguRSJJklQxUcXzFCVJkqQmVsWM74xtSZIkSZIkSVJDcca2JElSxUT1JnNIkiRJTa2KGd8Z25IkSZIkSZKkhuLAtiRJkiRJkiSpobgUiSRJUsVU8CxFSZIkqalVMeM7Y1uSJEmSJEmS1FCcsS1JklQ1VZzOIUmSJDWzCmZ8Z2xLkiRJkiRJkhqKA9uSJEmSJEmSpIbiUiSSJEkVEkBU8TxFSZIkqUlVNeM7Y1uSJEmSJEmS1FCcsS1JklQlAVG9yRySJElS86poxnfGtiRJkiRJkiSpoTiwLUmSJEmSJElqKC5FIkmSVDEVPEtRkiRJampVzPjO2JYkSZIkSZIkNRQHtiVJkiRJkiRJDcWlSCRJkqqmiucpSpIkSc2sghnfGduSJEmSJEmSpIbijG1JkqRKCaKK0zkkSZKkplXNjO+MbUmSJEmSJElSQ3FgW5IkSZIkSZLUUFyKRJIkqWKiemcpSpIkSU2tihnfGduSJEmSJEmSpIbijG1JkqQKieJHkiRJUnOoasZ3xrYkSZIkSZIkqaE4sC1JkiRJkiRJaiguRSJJklQ1VTxPUZIkSWpmFcz4ztiWJEmSJEmSJDUUZ2xLkiRVTFRxOockSZLUxKqY8Z2xLUmSJEmSJElqKA5sS5IkSZIkSZIaikuRSJIkVUxU7yxFSZIkqalVMeM7sF0y/7h7/OSF5uvyZL37MQ/0BCbXuxN6D+tSPtaknKxL+TRTTZatdwckda5/3D1+8iILdDXjq6NYl/KxJuVkXcqnmWpixq8DB7ZLJjOXrHcf5oWIGJeZw+rdD83OupSPNSkn61I+1mTequBkDqmuzPjqSNalfKxJOVmX8rEm81YVM75rbEuSJEmSJEmSGooD25IkSZIkSZKkhuJSJOoop9e7A5oj61I+1qScrEv5WJN5Jap5YRlJ84SfxeVkXcrHmpSTdSkfazKvVDTjR2bWuw+SJEnqJGsMGZpX3/S3ur1+3yUWGO9aipIkSdK8U9WM74xtSZKkyqngdA5JkiSpqVUv47vGtiRJkiRJkiSpoTiwrXkuIroV//X/XyUSUcXVliRJkjQvmPHLyYwvSaoylyLRPFOEqh7AVRGxU2Y+FxGRLuReVxGxUGa+lZlpPcohInoDCwNdMvOhevdHNRHRF+gJzMjMe/33omYVVPPCMpI+HjN+OZnxy8eMX05mfFVFVTO+R9s1z2TNZOAh4OSIWMAvjPqKiNWAcyJiD6jVyFkd9RUR/YGrge8C10fETnXukphVl6uAzwO3RMSWfn7VX0SsEBEHRsR29e6LJFWVGb98zPjlY8YvJzN+OZnxNS85sK15IiJ6RMSnipvfA14Fdq5fjxQRSwDnUDs6vUZE7AYG33oqZnFcAPwyM78IfAP4WkR0tyb1U9RlNHBiZn4bOBJYJCK617dn1RYR/YDLgEHAHyLikDp3SZIqx4xfPmb88jHjl5MZv5zM+JrXHNjWJ1aE3QeB30XEjpn5LDAe2CQi5iva+P+1zjeV2oyBkcALwAYRsVtEdCmCb9f6dq+SegOnZuafipB7JzAdmOrOSF0tARyamWcWt79B7d/NmIjYp37dqq5iR+Q64LTMPJjaIMqBETGgXTv/zXxMUccfSY3BjF9aZvzyMeOXkxm/ZMz4Ha+KGd8gok8sM98AfgZ0BUZExHHA2cAawBFFmxn162E1ZebrwF8z8xngDOBxYANgt6LJwvXqW1Vl5jjgmuL3zMxJQFKbcQOwWL36VmWZeR+1gEVxSu+fM3NX4FDgNxGxQT37V1GtwK3AwhHRIzPvAG4Hti523ntD7d9RPTspSc3MjF9OZvzyMeOXkxm/lMz4mucc2NbHFhG92ty8Enia2uyB+akdDT0b2CsiNq9D9wRk5lvFf98A/g94EhgYEccCD0ZEaz37V0WZ+STUZjhFRDdg6eL2hsCNEdHTI9Sdr014GpOZPyi23Qr8ltpnmjpRZt4F/B5YEjgoIg4FtgWWAn4InBERF9exiw0von4/ksrNjF9+ZvzyMeOXkxm/XMz4Ha+KGb+lfi+tJvCniHgbOBW4HniC2rpie0bEzsAqwPLAfhFxW2a+XbeeVlxx5efXgF9FxO+BXYAvZebEOnetsooZTjMi4i5gR2AP4Oji4kyqk8x8debvEbEOsD1wYf16VD3F51Vm5l+KHcCR1P6NbJGZ/4qIn1ObPbhSXTsqSc3LjN8gzPjlY8YvJzN+/Znx1VEc2NYnsTW1i8jsDOwE/A/wqYj4QWb+pFhz703gcQNvfRRr7c1os7ZbT2AEsF9mXjLzy6XO3ayUmTVps6k7cAwwIjPHWJP6aFuXiFgQ2BA4idq6fOPq2rmKmfl5VQTfsRHxDvA2sE1EvJCZzxdNX6hjNyWpmZnxS86MXz5m/HIy45eHGV8dxYFtfSwR0TUzpwM/jYhBwD7AfcBxwJCI6JeZDwGnFO39Iu9AM/++xaluCwMLZuYlbcNV8fd/MSLWzswHrUnH+jA1KfwV+F1m3mxNOt6H/LfydkQsDByYmbfVrbMVVtSoJTOnZebfilN6dwe+FRE/zMxp9e5jowsv4yhpDsz45WLGLx8zfjmZ8RuDGb/jVTHjO7CtjyUzp7eZKXAvcG9EPERtZseW1C6W8dU27f0i70DFF8S2wLHAT6ldDGOxzPzjHNo+2Nn9q6IPqkmbo9W/rmc/q+Yj1OWSevazSt5nR2Rau1MWuwDPGnglqeOY8cvFjF8+ZvxyMuOXjxlfncWLR+pjy8wZEdG1OP2NzPw9tVMVf0DtQjPqBFG7QMmngC9RO130v8AE4LqZtZkTd0Q6zoepyZz+/takY33cuqhjtdkR+Q2wGHB6ROzX5r4uxe83u9M+D0UdfySVmhm/HMz45WPGLyczfjmZ8eukghnfGdv6UN7naNv0tvdn7fS3h4tA7ClXnaNLZr4REU8BuwE7UFtfb1JE7BYRz2Tm3+vcx6qxJuVkXUqmCLQL8e6OyCDa7IgU3yvtT+2VJM0jZvxSM7eUjzUpJ+tSMmZ8dSZnbOtDeb+jbTPvb/P7jPbbNG/NPPIcEasA+xebXwJ+BnwhMx+KiLWAI4Cp9elltViTcrIupdclM98AZu6IHEKxIwLsGrWr1kuSOogZv1zMLeVjTcrJupSeGV+dxhnb+kAf5mhbPftXNW1m1mwGfANYMSJep7aW2OLAhRFxDbAdcHhmjq9fb6vBmpSTdSmnNnVZBdgEOJ13d0RWyszH2uyIfKF+PW1urggiyYxfLuaW8rEm5WRdysmMXw5VzPgObOvD8NSeEim+LNYDfgt8jdoX9sbA/Jn5rYjYAXgHuCIz/+6OScezJuVkXcrHHRFJKhUzfomYW8rHmpSTdSkfM77qyYFtzZFH20pvKLUv6hsi4kZqp18dEBFTgUsy862ZDf0S7zTWpJysS4m4I1IOEbUfSdVjxi89c0v5WJNysi4lYsYvh6pmfNfY1nu0O9r2M+DgiNiL2tG2k6kdbfsJtSDs0bb6uB8YFBFrZs0ZwOvABsAAeHfdMXUaa1JO1qV8Zu2IUFtv7y5qOyJ7Azdm5rUzZwgaeCVp3jHjNwRzS/lYk3KyLuVjxlddOGNb7+HRtnJpsxOyNtADeBK4mdosmx0jYglgIvApoDu1U0nHWZOOY03Kybo0jPup1WPNzLwbOCMidqW2I/IQMM7vFUma98z45WJuKR9rUk7WpWGY8VUXDmxrbjy1pySKL/FtgBOB3wF/pnaBn1HAZsBR1K4RcBCwArBFRHTLTK/+3EGsSTlZl/JxR6S8opKXlpGEGb80zC3lY03KybqUjxm/vKqY8V2KRHPjqT11NvPvGxHLUDtFdHvgPuA14AygX2b+mtpsm22BvsBxwO/9Eu8Y1qScrEt5tdkR+RPQD/gbtdmBo6it6XoU8AfgK8C5wEIR0a0+vZWkSjDj15m5pXysSTlZl/Iy46tMHNhW2y+MtSNi24gYSO1o2+3UjrZtHhGrMvvRNmdxdJCIWDgili2+LAYCr1A7It0DOC4z+wLHUlsHcafMfBWYCmwD7J6Z/6pX35uVNSkn61Je7og0gKjjj6ROYcYvF3NL+ViTcrIu5WXGbwAVzPgObMujbeXTBzgxIo4ETgKWzsyngGWAe4o2/wZuAF4EKE4bPSQzH+j87laCNSkn61Iy7ohIUnmY8UvH3FI+1qScrEvJmPFVZq6xXWFt1kVqe7RtOd492vadzPx1RPypeMi61I627enRto6TmQ9FxAPAd4EjM/OR4sjos9R2OH4HbAQcmJl/m1nHzJxez343M2tSTtallPoAx0XEPcCGwFeKuqzD++yIRMQh1kWS5g0zfjmZW8rHmpSTdSklM75Ky4HtCoqIhYGemflkcbTtaWpH23pTHG2LiAOpHW3bJTMvi4iFePdom0dBO0CbnZDFgH8CPwH2joj7M/Ma4NaIWITal8qlmfk38HTRjmRNysm6lJc7Io3DFUGk5mPGLydzS/lYk3KyLuVlxm8cVcz4DmxXk0fbSqbNl/hO1E4H3TczR0XEk9Rq9SrwBDAoM49t+5j69bq5WZNysi7l5I6IJJWCGb9kzC3lY03KybqUkxlfjcCB7QryaFv5FF8WmwFHAwdl5vMRsSBwPvAmcBYwDfifto+pS2crwpqUk3UpH3dEGlNUcTqH1OTM+OVjbikfa1JO1qV8zPiNqYoZ34HtCvFoW+n1obbu4fSI+AKwL7Ur1/+K2lWFW9JTRDubNSkn61Ii7ohIUn2Z8UvP3FI+1qScrEuJmPHVKLrUuwPqHO2Oto0CxmbmT4ETqB1tWy8ielM72nZ6Zo4pZnio87wGDANOA+YHzgZ6Ab0z82G/xOvCmpSTdSmf9jsi1wCHAzdR2xHZNTOvrmP/JKkpmfEbgrmlfKxJOVmX8jHjq/ScsV0RHm0rrzangV4aEf8A3srMFyNiFeBgYME6d7FyrEk5WZdSew3YnNrMmt9T2xEZTm1H5MF6dkxzEkQlLy0jNR8zfnmZW8rHmpSTdSk1M35DqWbGd2C7Wjy1pwTarztV7JB0y8ypWbuKfdeI2JraTJvvZ+Y/6tfbarAm5WRdys8dEUkqBTN+CZhbysealJN1KT8zvhqJA9vV4tG2Eii+uLcA+gELZOYJmTm17QV8IuId4IDMvMMLMHQ8a1JO1qV83BGRpFIy45eAuaV8rEk5WZfyMeOrkbnGdgXMXEcvMy8FfghsnZm/A24F1sGjbZ1iZh0iYji1dcO6AjtGxCUR0bX48ugKkJk3ZeYdxe9+iXcQa1JO1qW8Zu6IRMTXI+LQYtvUNt8z04GZOyKXz9yucglqV0yv14+kecOMXw7mlvKxJuVkXcrLjN8cqprxHdhuQu0/ZGYebSt+fxJ4uTjadjFwhEfbOkdRh7WALwI/zsyTMnOj4u7RRZvpdetgBVmTcrIu5eOOiCTVnxm/nMwt5WNNysm6lI8ZX83Age0m5NG2UlsG2AhYIyIWL7aNALpFRM+69ararEk5WZcScUdEkurPjF9q5pbysSblZF1KxIyvZuDAdhPxaFv5tKnJqhHxaeBKYH9gTWCziOgFDAFWArrVraMVYk3Kybo0BHdEJKkOzPjlY24pH2tSTtalIZjx1dC8eGQTaXO07UBqR9v+DzgpIi6hdrTtsx5t61xFTbYFjgEuAbYBtgVOAb4DvAy8ChyWmc/WraMVYk3KybqUT0TtIjIRsSrwH2o7IpOAY6ntiNwO9MUdEUnqUGb88jG3lI81KSfrUj5mfDUbZ2w3H4+2lUhELA8cBewEvEJthk2XzLwAOBLoDlyXmZfVq49VY03KybqUT5sdkXOpnZ54E/AA7+6I/AH4Fu6INKQqXlhGanBm/BIxt5SPNSkn61I+ZvzmVsWM74ztBufRtnKaWRdgGnANMBjYG9g7M1+OiM0z87qI+BTwg4h4AbjGU0Y7jjUpJ+tSXu12RHamzY5IRLxS3DfaHRFJmvfM+OVkbikfa1JO1qW8zPhqNg5sNzhP7SmXNl/gCwNvUNsB+QxwMLBsZr4eERtS+/J+JDMvLpYdu98v8Y5hTcrJupSXOyLVEDh1WiozM365mFvKx5qUk3UpLzN+NVQx4zuw3eA82lYebWbWbAV8NSLupPZF/i3gp8DhEfFP4FDgqMx8EiAzL65Xn5udNSkn61JO7ohIUnmY8cvD3FI+1qScrEs5mfHV7Fxju0FFzFrB5n2PtgEnAAdHxLZtHqMOUHyJb0jtb/5ToD+1mTX/Br4ELAosT21mzWVRqFuHK8CalJN1KZ92OyLnRsQPgM9T2xEZR21HZG/gZODEtjsiM3+XJH1yZvzyMbeUjzUpJ+tSPmZ8VYEzthuMR9vKJSJagSWBf2bmDODTwLepHTRaFdg1M9+MiDcy8yttH2s9OoY1KSfrUm7tdkQOBL5ObTDlAmo7It/l3R2Ra2fuhFibBuVFHKXSMeOXi7mlfKxJOVmXcjPjV0xFM74D2w3EU3tKaQSwC7Uv7/HAW8AfgcnAZsXMmq2A9SPi+Mx8s249rQ5rUk7WpWTcEZGkcjDjl5K5pXysSTlZl5Ix46tqXIqkgXhqT3lERO+I6J2ZvwKuBo6KiGHAX4ALgXuLdhsCvwDu9Eu8Y1mTcrIupTaC2mmHQ4rbM3dEfgtsmZlPFjsiB0fEwvXpojpC1PlH0uzM+OVhbikfa1JO1qXUzPgVVdWM78B2yUVEa0QMjoiZtWp/tO3Q4gvijcz8SmYek5nXQi0ke8Rt3ouI/sD1wMYRMX9mHkdtfaojqO2InAU8AYwBDge+n5lXugPScaxJOVmXcnJHRJLqz4xfPuaW8rEm5WRdysmMr6oKM1G5RcS3KU7tyczxEbEdcBpzOLUH8NSeDhYRywFXAr/KzDMioktxeg8R8T1gPeDoolafAsjMN2aeYlq3jjcxa1JO1qWcih2Ri4BjgIszc0pEHAkMBY4GpgM7A9sA/wFOyczLrUtzWXPosPzLbXfW7fUXXbDr+MwcVrcOSCVgxi8Xc0v5WJNysi7lZMYXVDfjO2O7pDzaVlqbAjfO/BIH1oiIr0TETtROH70W+EVEDM/MNzLzDXCtqg5mTcrJupRMsSNyIfDLzPwzMBUgM38E3Ab8EOiSmUcCm1Fbf8/A26yqeJ6iVAJm/NIyt5SPNSkn61IyZnzNpoIZ34tHllDbo20RcXFmHlccbTuC2tG2s6gdbRtD7WjbrFN7/GDqcI8BBxYzaPYAFgRWA+4GtsvMgyJiKcA6dB5rUk7WpXzmtCOyLrULlJ1AbR3XX0TEdzLzrpkP8ntFkuYNM36pmVvKx5qUk3UpHzO+Ks2B7ZJpf7St+GAiM39UnNrzQ2qn9hwZET8v7vPUns5zFzAaOB6YAJwE3Af0Ab4DkJlH1atzFWVNysm6lI87IpolnDotdSozfumZW8rHmpSTdSkfM75mqWLGd2C7fDzaVmKZ+RZwYkT8KTNfnrk9ItYAVoiI3sCz1qPzWJNysi6l5I6IJNWPGb/EzC3lY03KybqUkhlflebAdvl4tK0BzPwSj4huwBbAsdROF51U145VmDUpJ+tSHu6ISFJdmfEbgLmlfKxJOVmX8jDjq+oc2C4fj7Y1iOJLfC3gEODwzLyqzl2qPGtSTtalXNwREUBU7yxFqd7M+A3C3FI+1qScrEu5mPEF1cz4DmyXjEfbGkdmTo2IO4HPZeZzroFYf9aknKxL+bgjIkmdy4zfOMwt5WNNysm6lI8ZX1XkwHZJebStMWTmVOC54ne/xEvAmpSTdSkXd0QkqT7M+I3B3FI+1qScrEu5mPFVRQ5sl5hH2yRJHcUdkWqr4FmKUmmY8SVJHcWMX21VzPgObJeYR9skSZKk5mLGlyRJmjcc2C45j7ZJkqR5rorTOaQSMeNLkqR5roIZv0u9OyBJkiRJkiRJ0kfhwLYkSZIkSZIkqaG4FIkkSVLFRBXPU5QkSZKaWBUzvjO2JUmSJEmSJEkNxYFtSZUSEdMj4p6IuC8iRkfEQp/guf4YEbsVv/8hIga8T9tNImK9j/EaT0REzw+7vV2bNz7iax0VEYd+1D5KaiwBRNTv50P1MWLriHgoIiZExGEd+geRJDU8M/77tjfjSxXQDBk/IuaPiFHF/XdExHIf9JwObEuqmrczc3Bmrga8A3y57Z0R8bGWaMrMAzPzgfdpsgnwkUOvJFVNRHQFTgG2AQYAe73foIIkSZjxJanUPmTGPwD4T2auBPwKOP6DnteBbUlVdiuwUjHT4taIuBx4ICK6RsTPI+KuiPhnRHwJIGp+UxxhvAFYauYTRcTYiBhW/L51RNwdEfdGxI3FUcYvA98uZpJsGBFLRsRFxWvcFRHrF4/tERHXRcT9EfEH+OBFsiLi0ogYXzzmoHb3/arYfmNELFlsWzEixhSPuTUi+s+Tv6YkzRtrARMy87HMfAc4H9ipzn2SJDUOM74ZX1L5fJiMvxNwVvH7hcBnIt5/PrgXj5RUScWsjW2AMcWmNYHVMvPxIji+mpnDI2J+4LaIuA4YAvSjdnRxaeAB4Mx2z7sk8Htgo+K5lsjMlyPid8AbmXlC0e484FeZ+deIWAa4FlgVOBL4a2YeHRHbUTti+UH2L15jQeCuiLgoM18CFgbGZea3I+KI4rm/DpwOfDkzH4mItYFTgc0+xp9RUgO6++7x1y7Y7f1Pc+5gC0TEuDa3T8/M09vcbgWebnP7GWDtTumZJKmhmfHN+FJVNUnGn9UmM6dFxKtAD2Dy3F7UgW1JVbNgRNxT/H4rcAa10wfvzMzHi+1bAmtEsbYesBiwMrAR8OfMnA5Mioib5vD86wC3zHyuzHx5Lv3YHBjQ5uDjohHxqeI1Pls89qqI+M+HeE/fiIhdit/7Fn19CZgBjCq2nwNcXLzGesDoNq89/4d4DUlNIjO3rncfJEmax8z4Znyp0qqa8R3YllQ1b2fm4LYbivD3ZttNwMGZeW27dtvOw350AdbJzP/OoS8fWkRsQi1Ar5uZb0XEWGCBuTTP4nVfaf83kKQSmUhtB36mPsU2SZLmxoxvxpdUbh8m489s80xxBs5i1A7ozZVrbEvSe10LfCUiugFExCoRsTBwC7BHsT5fL2DTOTz278BGEbF88dgliu2vA4u0aXcdcPDMGxExuPj1FmBksW0boPsH9HUxahdXeKtYR2+dNvd1AWbOSBlJ7fTH14DHI2L34jUiIgZ9wGtIUme6C1g5IpaPiPmAPYHL69wnSVLjM+NLUv18mIx/ObBv8ftuwE2Zme/3pA5sS9J7/YHa2np3R8R9wGnUznC5BHikuO9PwO3tH5iZLwIHUTsl8F7ePU3wCmCXKC4sA3wDGBa1C9c8wLtXbv8RtdB8P7XTFZ/6gL6OAVoi4t/AcdRC90xvAmsV72Ez4Ohi+97AAUX/7seLskkqkcycRm2t0GuBfwMXZOb99e2VJKkJmPElqU7mlvEj4uiI2LFodgbQIyImAIcAh33Q88YHDHxLkiRJkiRJklQqztiWJEmSJEmSJDUUB7YlSZIkSZIkSQ3FgW1JkiRJkiRJUkNxYFuSJEmSJEmS1FAc2JYkSZIkSZIkNRQHtiVJkiRJkiRJDcWBbUmSJEmSJElSQ/l/OUEMQ0ALpzMAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1800x864 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "\n",
      "\n"
     ]
    }
   ],
   "source": [
    "for inputs in [[\"EEG\"], [\"EEG\", \"EOG\"], [\"EEG\", \"EMG\"]]:\n",
    "    print(\"--\" * 20, inputs, \"--\" * 20)\n",
    "\n",
    "    feats_input = [f for f in feat_cols if f.split(\" \")[0] in inputs]\n",
    "    print(\"nb. features =\", len(feats_input))\n",
    "\n",
    "    ## Cross-validation\n",
    "    # Total of 10 folds\n",
    "    gkfold = StratifiedGroupKFold(n_splits=10)\n",
    "    cv = gkfold.split(df_feats, df_feats[\"label\"], groups=df_feats.patient_id)\n",
    "\n",
    "    res = cross_validate(\n",
    "        pipe,\n",
    "        df_feats[feats_input],\n",
    "        df_feats[\"label\"],\n",
    "        scoring=[\"f1_macro\", \"balanced_accuracy\", \"accuracy\", \"neg_log_loss\"],\n",
    "        cv=cv,\n",
    "        n_jobs=25,\n",
    "        return_train_score=True,\n",
    "        return_estimator=True,\n",
    "    )\n",
    "\n",
    "    print(\"10-FOLD: TRAIN\")\n",
    "    print(\"  MACRO F1:          \", round(np.mean(res[\"train_f1_macro\"]), 4))\n",
    "    print(\"  Balanced accuracy: \", round(np.mean(res[\"train_balanced_accuracy\"]), 4))\n",
    "    print(\"  Accuracy:          \", round(np.mean(res[\"train_accuracy\"]), 4))\n",
    "    print(\"  Log loss:          \", round(np.mean(-1 * res[\"train_neg_log_loss\"]), 4))\n",
    "\n",
    "    print(\"10-FOLD: TEST\")\n",
    "    print(\"  MACRO F1:          \", round(np.mean(res[\"test_f1_macro\"]), 4))\n",
    "    print(\"  Balanced accuracy: \", round(np.mean(res[\"test_balanced_accuracy\"]), 4))\n",
    "    print(\"  Accuracy:          \", round(np.mean(res[\"test_accuracy\"]), 4))\n",
    "    print(\"  Log loss:          \", round(np.mean(-1 * res[\"test_neg_log_loss\"]), 4))\n",
    "\n",
    "    preds = []\n",
    "    preds_proba = []\n",
    "    y_trues = []\n",
    "    cv = gkfold.split(df_feats, df_feats[\"label\"], groups=df_feats.patient_id)\n",
    "    for fold_ix, (train_idx, test_idx) in enumerate(cv):\n",
    "        X_train = df_feats[feats_input].iloc[train_idx]\n",
    "        y_train = df_feats[\"label\"].iloc[train_idx]\n",
    "        X_test = df_feats[feats_input].iloc[test_idx]\n",
    "        y_test = df_feats[\"label\"].iloc[test_idx]\n",
    "        \n",
    "        estimator = res[\"estimator\"][fold_ix]\n",
    "        preds += [estimator.predict(X_test).ravel()]\n",
    "        preds_proba += [estimator.predict_proba(X_test)]\n",
    "        y_trues += [y_test]\n",
    "\n",
    "    preds = np.hstack(preds)\n",
    "    y_trues = np.hstack(y_trues)\n",
    "    preds_proba = np.vstack(preds_proba)\n",
    "\n",
    "    print()\n",
    "    print(\"F1:\", f1_score(preds, y_trues, average=\"macro\"))\n",
    "    print(\"ACC:\", accuracy_score(preds, y_trues))\n",
    "    print(\"KAPPA:\", cohen_kappa_score(preds, y_trues))\n",
    "    print(\"LOG LOSS:\", log_loss(y_trues, preds_proba))\n",
    "    print()\n",
    "\n",
    "    print(classification_report(preds, y_trues))\n",
    "\n",
    "    plt.figure(figsize=(25,12))\n",
    "    ax = plt.subplot(1,2,1)\n",
    "    plot_confusion_matrix(y_pred=preds, y_true=y_trues, classes=classes, normalize=False, ax=ax)\n",
    "    ax = plt.subplot(1,2,2)\n",
    "    plot_confusion_matrix(y_pred=preds, y_true=y_trues, classes=classes, normalize=True, ax=ax)\n",
    "    plt.show()\n",
    "\n",
    "    print(\"\\n\\n\\n\")"
   ]
  }
 ],
 "metadata": {
  "interpreter": {
   "hash": "26b61bcbbba1cfbfebc1ee75928744f228d99c40d6fca4a5ce4834aa344100ec"
  },
  "kernelspec": {
   "display_name": "Python 3.7.5 ('venv': venv)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.5"
  },
  "toc-autonumbering": true
 },
 "nbformat": 4,
 "nbformat_minor": 4
}