main.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%reset -f\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import pylab as pl\n",
    "import matplotlib as mpl\n",
    "from data_management import get_data\n",
    "from scipy.interpolate import interp1d\n",
    "from time import time\n",
    "import os\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "\n",
    "from matplotlib import rc\n",
    "rc('font',**{'family':'sans-serif','sans-serif':['Helvetica']})\n",
    "rc('text', usetex=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "JSON file loaded\n",
      "Features computation launched...\n",
      "n_visits = 698\n",
      "Adding labels...Done!\n",
      "Adding basic features...Done!\n",
      "Adding bio features...Done!\n",
      "Adding vital parameters features...\n",
      "Done!\n"
     ]
    }
   ],
   "source": [
    "X = get_data()\n",
    "start_dates, end_dates = X.start_dates, X.end_dates\n",
    "X = X.drop(['start_dates', 'end_dates'], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "285 patients and 693 stays\n"
     ]
    }
   ],
   "source": [
    "n_patients = X.patient_num.unique().shape[0]\n",
    "n_visits = X.shape[0]\n",
    "print(\"%s patients and %s stays\" % (n_patients, n_visits))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "280 patients and 685 stays\n"
     ]
    }
   ],
   "source": [
    "# patients coming for checkup (no crisis)\n",
    "false_encounter_nums = [2008734749, 2009044366, 2009266655, 2011576945, \n",
    "                        2011622564, 2011664601, 2015724450, 2015726373]\n",
    "X = X.drop(false_encounter_nums, axis=0)\n",
    "n_patients = X.patient_num.unique().shape[0]\n",
    "n_visits = X.shape[0]\n",
    "print(\"%s patients and %s stays\" % (n_patients, n_visits))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "we exclude 64 stays with patients that stayed in ICU\n",
      "259 patients and 621 stays\n"
     ]
    }
   ],
   "source": [
    "print(\"we exclude %s stays with patients that stayed in ICU\" % sum(X['Stayed in ICU'] == 1))\n",
    "X = X[X['Stayed in ICU'] == 0]\n",
    "X = X.drop(['Stayed in ICU'], axis=1)\n",
    "\n",
    "n_patients = X.patient_num.unique().shape[0]\n",
    "n_visits = X.shape[0]\n",
    "print(\"%s patients and %s stays\" % (n_patients, n_visits))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "we exclude 64 stays with GHM=3 or 4\n",
      "238 patients and 557 stays\n"
     ]
    }
   ],
   "source": [
    "keep_GHM = (X['GHM=1'] == 1) | (X['GHM=2'] == 1)\n",
    "print(\"we exclude %s stays with GHM=3 or 4\" % (1 - keep_GHM).sum())\n",
    "X = X[keep_GHM]\n",
    "\n",
    "n_patients = X.patient_num.unique().shape[0]\n",
    "n_visits = X.shape[0]\n",
    "print(\"%s patients and %s stays\" % (n_patients, n_visits))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "we exclude 33 stays with at least 1 transfusion\n",
      "232 patients and 524 stays\n"
     ]
    }
   ],
   "source": [
    "print(\"we exclude %s stays with at least 1 transfusion\" % (X['Transfusion count'] > 0).sum())\n",
    "X = X[X['Transfusion count'] == 0]\n",
    "X = X.drop(['Transfusion count'], axis=1)\n",
    "\n",
    "n_patients = X.patient_num.unique().shape[0]\n",
    "n_visits = X.shape[0]\n",
    "print(\"%s patients and %s stays\" % (n_patients, n_visits))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "158 stays excluded because of infection (CIM10)\n",
      "177 patients and 366 stays\n"
     ]
    }
   ],
   "source": [
    "# CIM10 exclusion\n",
    "CIM10_data = pd.read_csv(\"../data/CVO_CIM10_exclusion.csv\", sep=\";\")\n",
    "CIM10_data.index = CIM10_data.ENCOUNTER_NUM\n",
    "CIM10_data = CIM10_data.drop(['ENCOUNTER_NUM'], axis=1)\n",
    "CIM10_data = CIM10_data.sum(1)\n",
    "enc_num_cim10 = CIM10_data.index[CIM10_data > 0]\n",
    "enc_num_cim10 = enc_num_cim10.intersection(set(X.index))\n",
    "X = X.drop(enc_num_cim10, axis=0)\n",
    "print(\"%s stays excluded because of infection (CIM10)\" % (n_visits - X.shape[0]))\n",
    "n_patients = X.patient_num.unique().shape[0]\n",
    "n_visits = X.shape[0]\n",
    "print(\"%s patients and %s stays\" % (n_patients, n_visits))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Duration"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Data description:\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Length of hospital stay</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>366.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>5.261862</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>3.290534</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.731944</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>3.027604</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>4.426389</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>6.490625</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>28.134028</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Length of hospital stay\n",
       "count               366.000000\n",
       "mean                  5.261862\n",
       "std                   3.290534\n",
       "min                   0.731944\n",
       "25%                   3.027604\n",
       "50%                   4.426389\n",
       "75%                   6.490625\n",
       "max                  28.134028"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "duration = X['Length of hospital stay'] / 24\n",
    "\n",
    "fig = pl.figure(figsize=(10,5))\n",
    "ax = fig.add_subplot(111)\n",
    "pl.hist(duration, bins=50, histtype='bar', color='b', alpha = 0.7)\n",
    "pl.xlabel('duration (days)', fontsize=17) , pl.ylabel(r'$\\string #$ stays', fontsize=17)\n",
    "ax.tick_params(axis='both', which='major', direction='in',\n",
    "               labelsize=17)\n",
    "pl.tight_layout()\n",
    "pl.savefig('./figures/duration.pdf', bbox_inches='tight')\n",
    "pl.show()\n",
    "print(\"Data description:\")\n",
    "pd.DataFrame(duration).describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "keep all stays up to the 90-th percentile of stays duration (9.2 days)\n",
      "37 stays deleted\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "(329, 72)"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "q = 90\n",
    "p = np.percentile(duration, q)\n",
    "print(\"keep all stays up to the %s-th percentile of stays duration (%.1f days)\" % (q, p))\n",
    "delete = duration > p\n",
    "print(\"%s stays deleted\" % sum(delete))\n",
    "X = X[~delete]\n",
    "\n",
    "# new duration times\n",
    "duration = X['Length of hospital stay'] / 24\n",
    "\n",
    "fig = pl.figure(figsize=(5,5))\n",
    "ax = fig.add_subplot(111)\n",
    "pl.hist(duration, bins=10, histtype='bar', \n",
    "        color='b', alpha = 0.7,\n",
    "        edgecolor='white', linewidth=.5)\n",
    "pl.xlabel('duration (days)', fontsize=17) , pl.ylabel(r'$\\string #$ stays', fontsize=17)\n",
    "ax.tick_params(axis='both', which='major', direction='in',\n",
    "               labelsize=17)\n",
    "pl.tight_layout()\n",
    "pl.savefig('./figures/duration2.pdf', bbox_inches='tight')\n",
    "pl.show()\n",
    "\n",
    "X = X.drop(['Length of hospital stay'], axis=1)\n",
    "X.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "164 patients and 329 stays\n"
     ]
    }
   ],
   "source": [
    "n_patients = X.patient_num.unique().shape[0]\n",
    "n_visits = X.shape[0]\n",
    "print(\"%s patients and %s stays\" % (n_patients, n_visits))\n",
    "\n",
    "patient_num = X.patient_num\n",
    "X = X.drop(['patient_num'], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Censoring level with all stays: 37.7%\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "49 readmissions within 30 days\n",
      "Data description:\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Y</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>205.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>203.573984</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>244.624688</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.750000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>33.125000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>123.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>286.125000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>1553.166667</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 Y\n",
       "count   205.000000\n",
       "mean    203.573984\n",
       "std     244.624688\n",
       "min       0.750000\n",
       "25%      33.125000\n",
       "50%     123.000000\n",
       "75%     286.125000\n",
       "max    1553.166667"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Y, delta = X.Y, X.delta\n",
    "X = X.drop(['Y', 'delta'], axis=1)\n",
    "Y /= 24 # in days\n",
    "T = Y[delta == 1]\n",
    "print(\"Censoring level with all stays: %.1f%%\" % (np.sum(1-delta) / len(delta) * 100))\n",
    "\n",
    "fig = pl.figure(figsize=(7,5))\n",
    "ax = fig.add_subplot(111)\n",
    "pl.hist(T, bins=50, histtype='bar', color='b', alpha = 0.7)\n",
    "pl.xlabel('time (days)', fontsize=17) , pl.ylabel(r'$\\string #$ stays', fontsize=17)\n",
    "ax.tick_params(axis='both', which='major', direction='in',\n",
    "               labelsize=17)\n",
    "pl.tight_layout()\n",
    "pl.savefig('./figures/times_between_visits.pdf', bbox_inches='tight')\n",
    "pl.show()\n",
    "\n",
    "print(\"%s readmissions within 30 days\" % np.sum(T <= 30))\n",
    "print(\"Data description:\")\n",
    "pd.DataFrame(T).describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Nb of visits per patient"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Data description:\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>patient_num</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>164.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>2.006098</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>1.845229</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>2.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>10.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       patient_num\n",
       "count   164.000000\n",
       "mean      2.006098\n",
       "std       1.845229\n",
       "min       1.000000\n",
       "25%       1.000000\n",
       "50%       1.000000\n",
       "75%       2.000000\n",
       "max      10.000000"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nb_visits_per_patient = patient_num.value_counts()\n",
    "\n",
    "fig = pl.figure(figsize=(5,5))\n",
    "ax = fig.add_subplot(111)\n",
    "pl.hist(nb_visits_per_patient, bins=10, \n",
    "        histtype='bar', color='b', alpha = 0.7,\n",
    "        edgecolor='white', linewidth=.5)\n",
    "pl.xlabel(r'$\\string #$ stays', fontsize=17) , pl.ylabel(r'$\\string #$ patients', fontsize=17)\n",
    "ax.tick_params(axis='both', which='major', direction='in',\n",
    "               labelsize=17)\n",
    "pl.tight_layout()\n",
    "pl.savefig('./figures/nb_visits_per_patient.pdf', bbox_inches='tight')\n",
    "pl.show()\n",
    "print(\"Data description:\")\n",
    "pd.DataFrame(nb_visits_per_patient).describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Number of points per covariates"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>At least 1 point (%)</th>\n",
       "      <th>Mean (sd)</th>\n",
       "      <th>Median (Q1 ; Q3)</th>\n",
       "      <th>Min ; Max</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Covariate</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Household situation</th>\n",
       "      <td>76.9</td>\n",
       "      <td>0.8 (0.4)</td>\n",
       "      <td>1 (1 ; 1)</td>\n",
       "      <td>0 ; 1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Professional activity</th>\n",
       "      <td>86.6</td>\n",
       "      <td>0.9 (0.3)</td>\n",
       "      <td>1 (1 ; 1)</td>\n",
       "      <td>0 ; 1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>History of acute chest syndrom</th>\n",
       "      <td>100.0</td>\n",
       "      <td>1.0 (0.0)</td>\n",
       "      <td>1 (1 ; 1)</td>\n",
       "      <td>1 ; 1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>History of avascular bone necrosis</th>\n",
       "      <td>100.0</td>\n",
       "      <td>1.0 (0.0)</td>\n",
       "      <td>1 (1 ; 1)</td>\n",
       "      <td>1 ; 1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Formerly or currently on a dialysis protocol</th>\n",
       "      <td>100.0</td>\n",
       "      <td>1.0 (0.0)</td>\n",
       "      <td>1 (1 ; 1)</td>\n",
       "      <td>1 ; 1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>History of heart failure</th>\n",
       "      <td>100.0</td>\n",
       "      <td>1.0 (0.0)</td>\n",
       "      <td>1 (1 ; 1)</td>\n",
       "      <td>1 ; 1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>History of ischemic stroke</th>\n",
       "      <td>100.0</td>\n",
       "      <td>1.0 (0.0)</td>\n",
       "      <td>1 (1 ; 1)</td>\n",
       "      <td>1 ; 1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>History of leg skin ulceration</th>\n",
       "      <td>100.0</td>\n",
       "      <td>1.0 (0.0)</td>\n",
       "      <td>1 (1 ; 1)</td>\n",
       "      <td>1 ; 1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>History of known nephropathy</th>\n",
       "      <td>100.0</td>\n",
       "      <td>1.0 (0.0)</td>\n",
       "      <td>1 (1 ; 1)</td>\n",
       "      <td>1 ; 1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>History of pulmonary hypertension</th>\n",
       "      <td>100.0</td>\n",
       "      <td>1.0 (0.0)</td>\n",
       "      <td>1 (1 ; 1)</td>\n",
       "      <td>1 ; 1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>History of priapism*</th>\n",
       "      <td>100.0</td>\n",
       "      <td>1.0 (0.0)</td>\n",
       "      <td>1 (1 ; 1)</td>\n",
       "      <td>1 ; 1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>History of known retinopathy</th>\n",
       "      <td>100.0</td>\n",
       "      <td>1.0 (0.0)</td>\n",
       "      <td>1 (1 ; 1)</td>\n",
       "      <td>1 ; 1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Received orally administered opioids</th>\n",
       "      <td>100.0</td>\n",
       "      <td>1.0 (0.0)</td>\n",
       "      <td>1 (1 ; 1)</td>\n",
       "      <td>1 ; 1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Received Morphine</th>\n",
       "      <td>83.6</td>\n",
       "      <td>0.8 (0.4)</td>\n",
       "      <td>1 (1 ; 1)</td>\n",
       "      <td>0 ; 1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Received Oxycodone</th>\n",
       "      <td>83.6</td>\n",
       "      <td>0.8 (0.4)</td>\n",
       "      <td>1 (1 ; 1)</td>\n",
       "      <td>0 ; 1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Age at hospital admission</th>\n",
       "      <td>100.0</td>\n",
       "      <td>1.0 (0.0)</td>\n",
       "      <td>1 (1 ; 1)</td>\n",
       "      <td>1 ; 1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Baseline haemoglobin ($g/dL$)</th>\n",
       "      <td>100.0</td>\n",
       "      <td>1.0 (0.0)</td>\n",
       "      <td>1 (1 ; 1)</td>\n",
       "      <td>1 ; 1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Genotype</th>\n",
       "      <td>100.0</td>\n",
       "      <td>1.0 (0.0)</td>\n",
       "      <td>1 (1 ; 1)</td>\n",
       "      <td>1 ; 1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gender</th>\n",
       "      <td>100.0</td>\n",
       "      <td>1.0 (0.0)</td>\n",
       "      <td>1 (1 ; 1)</td>\n",
       "      <td>1 ; 1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>White blood cells ($10^9/L$)</th>\n",
       "      <td>99.4</td>\n",
       "      <td>2.7 (1.4)</td>\n",
       "      <td>2 (2 ; 3)</td>\n",
       "      <td>0 ; 9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sodium ($mmol/L$)</th>\n",
       "      <td>99.4</td>\n",
       "      <td>2.4 (1.2)</td>\n",
       "      <td>2 (2 ; 3)</td>\n",
       "      <td>0 ; 7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hemoglobin ($g/dL$)</th>\n",
       "      <td>99.4</td>\n",
       "      <td>2.7 (1.4)</td>\n",
       "      <td>2 (2 ; 3)</td>\n",
       "      <td>0 ; 9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Red blood cells ($10^{12}/L$)</th>\n",
       "      <td>99.4</td>\n",
       "      <td>2.7 (1.4)</td>\n",
       "      <td>2 (2 ; 3)</td>\n",
       "      <td>0 ; 9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Neutrophils ($10^9/L$)</th>\n",
       "      <td>99.4</td>\n",
       "      <td>2.6 (1.4)</td>\n",
       "      <td>2 (2 ; 3)</td>\n",
       "      <td>0 ; 9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Monocytes ($10^9/L$)</th>\n",
       "      <td>99.4</td>\n",
       "      <td>2.6 (1.4)</td>\n",
       "      <td>2 (2 ; 3)</td>\n",
       "      <td>0 ; 9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mean cell volume ($fl$)</th>\n",
       "      <td>99.4</td>\n",
       "      <td>2.7 (1.4)</td>\n",
       "      <td>2 (2 ; 3)</td>\n",
       "      <td>0 ; 9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hematocrit ($\\%$)</th>\n",
       "      <td>99.4</td>\n",
       "      <td>2.7 (1.4)</td>\n",
       "      <td>2 (2 ; 3)</td>\n",
       "      <td>0 ; 9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Chloride ($mmol/L$)</th>\n",
       "      <td>99.4</td>\n",
       "      <td>2.4 (1.2)</td>\n",
       "      <td>2 (2 ; 3)</td>\n",
       "      <td>0 ; 7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lymphocytes ($10^9/L$)</th>\n",
       "      <td>99.4</td>\n",
       "      <td>2.6 (1.4)</td>\n",
       "      <td>2 (2 ; 3)</td>\n",
       "      <td>0 ; 9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mean corpuscular hemoglobin ($pg$)</th>\n",
       "      <td>99.4</td>\n",
       "      <td>2.7 (1.4)</td>\n",
       "      <td>2 (2 ; 3)</td>\n",
       "      <td>0 ; 9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bicarbonate ($mmol/L$)</th>\n",
       "      <td>99.4</td>\n",
       "      <td>2.4 (1.2)</td>\n",
       "      <td>2 (2 ; 3)</td>\n",
       "      <td>0 ; 7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Proteins ($g/L$)</th>\n",
       "      <td>99.4</td>\n",
       "      <td>2.4 (1.2)</td>\n",
       "      <td>2 (2 ; 3)</td>\n",
       "      <td>0 ; 7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Eosinophils ($10^9/L$)</th>\n",
       "      <td>99.4</td>\n",
       "      <td>2.6 (1.4)</td>\n",
       "      <td>2 (2 ; 3)</td>\n",
       "      <td>0 ; 9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Basophils ($10^9/L$)</th>\n",
       "      <td>99.4</td>\n",
       "      <td>2.6 (1.4)</td>\n",
       "      <td>2 (2 ; 3)</td>\n",
       "      <td>0 ; 9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Potassium ($mmol/L$)</th>\n",
       "      <td>99.4</td>\n",
       "      <td>2.3 (1.1)</td>\n",
       "      <td>2 (2 ; 3)</td>\n",
       "      <td>0 ; 7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Creatinine ($\\mu mol/L$)</th>\n",
       "      <td>99.1</td>\n",
       "      <td>2.3 (1.2)</td>\n",
       "      <td>2 (2 ; 3)</td>\n",
       "      <td>0 ; 7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Renal function by MDRD ($mL/min/1,73m2$)</th>\n",
       "      <td>99.1</td>\n",
       "      <td>2.3 (1.2)</td>\n",
       "      <td>2 (2 ; 3)</td>\n",
       "      <td>0 ; 7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Reticulocytes ($10^9/L$)</th>\n",
       "      <td>96.0</td>\n",
       "      <td>2.3 (1.4)</td>\n",
       "      <td>2 (1 ; 3)</td>\n",
       "      <td>0 ; 9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Alkaline phosphatase ($U/L$)</th>\n",
       "      <td>94.5</td>\n",
       "      <td>1.8 (1.1)</td>\n",
       "      <td>2 (1 ; 2)</td>\n",
       "      <td>0 ; 7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Total bilirubin ($\\mu mol/L$)</th>\n",
       "      <td>94.5</td>\n",
       "      <td>1.8 (1.1)</td>\n",
       "      <td>2 (1 ; 2)</td>\n",
       "      <td>0 ; 7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mean platelet volume ($fl$)</th>\n",
       "      <td>93.6</td>\n",
       "      <td>2.4 (1.4)</td>\n",
       "      <td>2 (2 ; 3)</td>\n",
       "      <td>0 ; 9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Asparate transaminase ($U/L$)</th>\n",
       "      <td>94.2</td>\n",
       "      <td>1.8 (1.1)</td>\n",
       "      <td>2 (1 ; 2)</td>\n",
       "      <td>0 ; 7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Alanine transaminase ($U/L$)</th>\n",
       "      <td>93.9</td>\n",
       "      <td>1.8 (1.1)</td>\n",
       "      <td>2 (1 ; 2)</td>\n",
       "      <td>0 ; 7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>C-reactive protein ($mg/L$)</th>\n",
       "      <td>88.8</td>\n",
       "      <td>1.9 (1.3)</td>\n",
       "      <td>2 (1 ; 3)</td>\n",
       "      <td>0 ; 9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Glucose ($mmol/L$)</th>\n",
       "      <td>90.6</td>\n",
       "      <td>1.7 (1.1)</td>\n",
       "      <td>1 (1 ; 2)</td>\n",
       "      <td>0 ; 6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Total calcium ($mmol/L$)</th>\n",
       "      <td>90.3</td>\n",
       "      <td>1.7 (1.1)</td>\n",
       "      <td>2 (1 ; 2)</td>\n",
       "      <td>0 ; 6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gamma glutamyl-tranferase ($U/L$)</th>\n",
       "      <td>86.0</td>\n",
       "      <td>1.6 (1.1)</td>\n",
       "      <td>1 (1 ; 2)</td>\n",
       "      <td>0 ; 7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Platelets ($10^9/L$)</th>\n",
       "      <td>86.0</td>\n",
       "      <td>2.3 (1.6)</td>\n",
       "      <td>2 (1 ; 3)</td>\n",
       "      <td>0 ; 9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Direct bilirubin ($\\mu mol/L$)</th>\n",
       "      <td>76.3</td>\n",
       "      <td>1.4 (1.1)</td>\n",
       "      <td>1 (1 ; 2)</td>\n",
       "      <td>0 ; 5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lactate Dehydrogenase ($U/L$)</th>\n",
       "      <td>75.4</td>\n",
       "      <td>1.1 (1.0)</td>\n",
       "      <td>1 (1 ; 1)</td>\n",
       "      <td>0 ; 7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Nucleated red blood cells ($10^9/L$)</th>\n",
       "      <td>65.0</td>\n",
       "      <td>1.4 (1.5)</td>\n",
       "      <td>1 (0 ; 2)</td>\n",
       "      <td>0 ; 7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Urea ($mmol/L$)</th>\n",
       "      <td>66.6</td>\n",
       "      <td>0.9 (0.9)</td>\n",
       "      <td>1 (0 ; 1)</td>\n",
       "      <td>0 ; 4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>International Normalized Ratio</th>\n",
       "      <td>62.3</td>\n",
       "      <td>0.8 (0.7)</td>\n",
       "      <td>1 (0 ; 1)</td>\n",
       "      <td>0 ; 4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mean corpuscular hemoglobin concentration ($\\%$)</th>\n",
       "      <td>66.9</td>\n",
       "      <td>1.9 (1.8)</td>\n",
       "      <td>2 (0 ; 3)</td>\n",
       "      <td>0 ; 9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Prothrombin Ratio (percent)</th>\n",
       "      <td>52.6</td>\n",
       "      <td>0.7 (0.7)</td>\n",
       "      <td>1 (0 ; 1)</td>\n",
       "      <td>0 ; 4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hemoglobin S ($\\%$)</th>\n",
       "      <td>28.0</td>\n",
       "      <td>0.3 (0.6)</td>\n",
       "      <td>0 (0 ; 1)</td>\n",
       "      <td>0 ; 3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hemoglobin F ($\\%$)</th>\n",
       "      <td>26.4</td>\n",
       "      <td>0.3 (0.6)</td>\n",
       "      <td>0 (0 ; 1)</td>\n",
       "      <td>0 ; 3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Heart rate (bpm)</th>\n",
       "      <td>98.2</td>\n",
       "      <td>13.9 (6.3)</td>\n",
       "      <td>13 (9 ; 18)</td>\n",
       "      <td>0 ; 30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Respiratory rate (mvt/min)</th>\n",
       "      <td>91.5</td>\n",
       "      <td>6.8 (5.0)</td>\n",
       "      <td>6 (3 ; 10)</td>\n",
       "      <td>0 ; 28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Systolic blood pressure ($mmHg$)</th>\n",
       "      <td>98.2</td>\n",
       "      <td>13.9 (6.3)</td>\n",
       "      <td>13 (9 ; 18)</td>\n",
       "      <td>0 ; 30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Diastolic blood pressure ($mmHg$)</th>\n",
       "      <td>78.1</td>\n",
       "      <td>11.1 (7.8)</td>\n",
       "      <td>11 (5 ; 16)</td>\n",
       "      <td>0 ; 30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Oxygen saturation ($\\%$)</th>\n",
       "      <td>96.4</td>\n",
       "      <td>13.6 (6.5)</td>\n",
       "      <td>13 (9 ; 18)</td>\n",
       "      <td>0 ; 32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Temperature ($^\\circ C$)</th>\n",
       "      <td>97.9</td>\n",
       "      <td>13.9 (6.4)</td>\n",
       "      <td>14 (9 ; 18)</td>\n",
       "      <td>0 ; 31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GHM=1</th>\n",
       "      <td>100.0</td>\n",
       "      <td>1.0 (0.0)</td>\n",
       "      <td>1 (1 ; 1)</td>\n",
       "      <td>1 ; 1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GHM=2</th>\n",
       "      <td>100.0</td>\n",
       "      <td>1.0 (0.0)</td>\n",
       "      <td>1 (1 ; 1)</td>\n",
       "      <td>1 ; 1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GHM=3</th>\n",
       "      <td>100.0</td>\n",
       "      <td>1.0 (0.0)</td>\n",
       "      <td>1 (1 ; 1)</td>\n",
       "      <td>1 ; 1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GHM=4</th>\n",
       "      <td>100.0</td>\n",
       "      <td>1.0 (0.0)</td>\n",
       "      <td>1 (1 ; 1)</td>\n",
       "      <td>1 ; 1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dist</th>\n",
       "      <td>98.5</td>\n",
       "      <td>1.0 (0.1)</td>\n",
       "      <td>1 (1 ; 1)</td>\n",
       "      <td>0 ; 1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>drive</th>\n",
       "      <td>98.5</td>\n",
       "      <td>1.0 (0.1)</td>\n",
       "      <td>1 (1 ; 1)</td>\n",
       "      <td>0 ; 1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                 At least 1 point (%)  \\\n",
       "Covariate                                                               \n",
       "Household situation                                              76.9   \n",
       "Professional activity                                            86.6   \n",
       "History of acute chest syndrom                                  100.0   \n",
       "History of avascular bone necrosis                              100.0   \n",
       "Formerly or currently on a dialysis protocol                    100.0   \n",
       "History of heart failure                                        100.0   \n",
       "History of ischemic stroke                                      100.0   \n",
       "History of leg skin ulceration                                  100.0   \n",
       "History of known nephropathy                                    100.0   \n",
       "History of pulmonary hypertension                               100.0   \n",
       "History of priapism*                                            100.0   \n",
       "History of known retinopathy                                    100.0   \n",
       "Received orally administered opioids                            100.0   \n",
       "Received Morphine                                                83.6   \n",
       "Received Oxycodone                                               83.6   \n",
       "Age at hospital admission                                       100.0   \n",
       "Baseline haemoglobin ($g/dL$)                                   100.0   \n",
       "Genotype                                                        100.0   \n",
       "Gender                                                          100.0   \n",
       "White blood cells ($10^9/L$)                                     99.4   \n",
       "Sodium ($mmol/L$)                                                99.4   \n",
       "Hemoglobin ($g/dL$)                                              99.4   \n",
       "Red blood cells ($10^{12}/L$)                                    99.4   \n",
       "Neutrophils ($10^9/L$)                                           99.4   \n",
       "Monocytes ($10^9/L$)                                             99.4   \n",
       "Mean cell volume ($fl$)                                          99.4   \n",
       "Hematocrit ($\\%$)                                                99.4   \n",
       "Chloride ($mmol/L$)                                              99.4   \n",
       "Lymphocytes ($10^9/L$)                                           99.4   \n",
       "Mean corpuscular hemoglobin ($pg$)                               99.4   \n",
       "Bicarbonate ($mmol/L$)                                           99.4   \n",
       "Proteins ($g/L$)                                                 99.4   \n",
       "Eosinophils ($10^9/L$)                                           99.4   \n",
       "Basophils ($10^9/L$)                                             99.4   \n",
       "Potassium ($mmol/L$)                                             99.4   \n",
       "Creatinine ($\\mu mol/L$)                                         99.1   \n",
       "Renal function by MDRD ($mL/min/1,73m2$)                         99.1   \n",
       "Reticulocytes ($10^9/L$)                                         96.0   \n",
       "Alkaline phosphatase ($U/L$)                                     94.5   \n",
       "Total bilirubin ($\\mu mol/L$)                                    94.5   \n",
       "Mean platelet volume ($fl$)                                      93.6   \n",
       "Asparate transaminase ($U/L$)                                    94.2   \n",
       "Alanine transaminase ($U/L$)                                     93.9   \n",
       "C-reactive protein ($mg/L$)                                      88.8   \n",
       "Glucose ($mmol/L$)                                               90.6   \n",
       "Total calcium ($mmol/L$)                                         90.3   \n",
       "Gamma glutamyl-tranferase ($U/L$)                                86.0   \n",
       "Platelets ($10^9/L$)                                             86.0   \n",
       "Direct bilirubin ($\\mu mol/L$)                                   76.3   \n",
       "Lactate Dehydrogenase ($U/L$)                                    75.4   \n",
       "Nucleated red blood cells ($10^9/L$)                             65.0   \n",
       "Urea ($mmol/L$)                                                  66.6   \n",
       "International Normalized Ratio                                   62.3   \n",
       "Mean corpuscular hemoglobin concentration ($\\%$)                 66.9   \n",
       "Prothrombin Ratio (percent)                                      52.6   \n",
       "Hemoglobin S ($\\%$)                                              28.0   \n",
       "Hemoglobin F ($\\%$)                                              26.4   \n",
       "Heart rate (bpm)                                                 98.2   \n",
       "Respiratory rate (mvt/min)                                       91.5   \n",
       "Systolic blood pressure ($mmHg$)                                 98.2   \n",
       "Diastolic blood pressure ($mmHg$)                                78.1   \n",
       "Oxygen saturation ($\\%$)                                         96.4   \n",
       "Temperature ($^\\circ C$)                                         97.9   \n",
       "GHM=1                                                           100.0   \n",
       "GHM=2                                                           100.0   \n",
       "GHM=3                                                           100.0   \n",
       "GHM=4                                                           100.0   \n",
       "dist                                                             98.5   \n",
       "drive                                                            98.5   \n",
       "\n",
       "                                                   Mean (sd) Median (Q1 ; Q3)  \\\n",
       "Covariate                                                                       \n",
       "Household situation                                0.8 (0.4)        1 (1 ; 1)   \n",
       "Professional activity                              0.9 (0.3)        1 (1 ; 1)   \n",
       "History of acute chest syndrom                     1.0 (0.0)        1 (1 ; 1)   \n",
       "History of avascular bone necrosis                 1.0 (0.0)        1 (1 ; 1)   \n",
       "Formerly or currently on a dialysis protocol       1.0 (0.0)        1 (1 ; 1)   \n",
       "History of heart failure                           1.0 (0.0)        1 (1 ; 1)   \n",
       "History of ischemic stroke                         1.0 (0.0)        1 (1 ; 1)   \n",
       "History of leg skin ulceration                     1.0 (0.0)        1 (1 ; 1)   \n",
       "History of known nephropathy                       1.0 (0.0)        1 (1 ; 1)   \n",
       "History of pulmonary hypertension                  1.0 (0.0)        1 (1 ; 1)   \n",
       "History of priapism*                               1.0 (0.0)        1 (1 ; 1)   \n",
       "History of known retinopathy                       1.0 (0.0)        1 (1 ; 1)   \n",
       "Received orally administered opioids               1.0 (0.0)        1 (1 ; 1)   \n",
       "Received Morphine                                  0.8 (0.4)        1 (1 ; 1)   \n",
       "Received Oxycodone                                 0.8 (0.4)        1 (1 ; 1)   \n",
       "Age at hospital admission                          1.0 (0.0)        1 (1 ; 1)   \n",
       "Baseline haemoglobin ($g/dL$)                      1.0 (0.0)        1 (1 ; 1)   \n",
       "Genotype                                           1.0 (0.0)        1 (1 ; 1)   \n",
       "Gender                                             1.0 (0.0)        1 (1 ; 1)   \n",
       "White blood cells ($10^9/L$)                       2.7 (1.4)        2 (2 ; 3)   \n",
       "Sodium ($mmol/L$)                                  2.4 (1.2)        2 (2 ; 3)   \n",
       "Hemoglobin ($g/dL$)                                2.7 (1.4)        2 (2 ; 3)   \n",
       "Red blood cells ($10^{12}/L$)                      2.7 (1.4)        2 (2 ; 3)   \n",
       "Neutrophils ($10^9/L$)                             2.6 (1.4)        2 (2 ; 3)   \n",
       "Monocytes ($10^9/L$)                               2.6 (1.4)        2 (2 ; 3)   \n",
       "Mean cell volume ($fl$)                            2.7 (1.4)        2 (2 ; 3)   \n",
       "Hematocrit ($\\%$)                                  2.7 (1.4)        2 (2 ; 3)   \n",
       "Chloride ($mmol/L$)                                2.4 (1.2)        2 (2 ; 3)   \n",
       "Lymphocytes ($10^9/L$)                             2.6 (1.4)        2 (2 ; 3)   \n",
       "Mean corpuscular hemoglobin ($pg$)                 2.7 (1.4)        2 (2 ; 3)   \n",
       "Bicarbonate ($mmol/L$)                             2.4 (1.2)        2 (2 ; 3)   \n",
       "Proteins ($g/L$)                                   2.4 (1.2)        2 (2 ; 3)   \n",
       "Eosinophils ($10^9/L$)                             2.6 (1.4)        2 (2 ; 3)   \n",
       "Basophils ($10^9/L$)                               2.6 (1.4)        2 (2 ; 3)   \n",
       "Potassium ($mmol/L$)                               2.3 (1.1)        2 (2 ; 3)   \n",
       "Creatinine ($\\mu mol/L$)                           2.3 (1.2)        2 (2 ; 3)   \n",
       "Renal function by MDRD ($mL/min/1,73m2$)           2.3 (1.2)        2 (2 ; 3)   \n",
       "Reticulocytes ($10^9/L$)                           2.3 (1.4)        2 (1 ; 3)   \n",
       "Alkaline phosphatase ($U/L$)                       1.8 (1.1)        2 (1 ; 2)   \n",
       "Total bilirubin ($\\mu mol/L$)                      1.8 (1.1)        2 (1 ; 2)   \n",
       "Mean platelet volume ($fl$)                        2.4 (1.4)        2 (2 ; 3)   \n",
       "Asparate transaminase ($U/L$)                      1.8 (1.1)        2 (1 ; 2)   \n",
       "Alanine transaminase ($U/L$)                       1.8 (1.1)        2 (1 ; 2)   \n",
       "C-reactive protein ($mg/L$)                        1.9 (1.3)        2 (1 ; 3)   \n",
       "Glucose ($mmol/L$)                                 1.7 (1.1)        1 (1 ; 2)   \n",
       "Total calcium ($mmol/L$)                           1.7 (1.1)        2 (1 ; 2)   \n",
       "Gamma glutamyl-tranferase ($U/L$)                  1.6 (1.1)        1 (1 ; 2)   \n",
       "Platelets ($10^9/L$)                               2.3 (1.6)        2 (1 ; 3)   \n",
       "Direct bilirubin ($\\mu mol/L$)                     1.4 (1.1)        1 (1 ; 2)   \n",
       "Lactate Dehydrogenase ($U/L$)                      1.1 (1.0)        1 (1 ; 1)   \n",
       "Nucleated red blood cells ($10^9/L$)               1.4 (1.5)        1 (0 ; 2)   \n",
       "Urea ($mmol/L$)                                    0.9 (0.9)        1 (0 ; 1)   \n",
       "International Normalized Ratio                     0.8 (0.7)        1 (0 ; 1)   \n",
       "Mean corpuscular hemoglobin concentration ($\\%$)   1.9 (1.8)        2 (0 ; 3)   \n",
       "Prothrombin Ratio (percent)                        0.7 (0.7)        1 (0 ; 1)   \n",
       "Hemoglobin S ($\\%$)                                0.3 (0.6)        0 (0 ; 1)   \n",
       "Hemoglobin F ($\\%$)                                0.3 (0.6)        0 (0 ; 1)   \n",
       "Heart rate (bpm)                                  13.9 (6.3)      13 (9 ; 18)   \n",
       "Respiratory rate (mvt/min)                         6.8 (5.0)       6 (3 ; 10)   \n",
       "Systolic blood pressure ($mmHg$)                  13.9 (6.3)      13 (9 ; 18)   \n",
       "Diastolic blood pressure ($mmHg$)                 11.1 (7.8)      11 (5 ; 16)   \n",
       "Oxygen saturation ($\\%$)                          13.6 (6.5)      13 (9 ; 18)   \n",
       "Temperature ($^\\circ C$)                          13.9 (6.4)      14 (9 ; 18)   \n",
       "GHM=1                                              1.0 (0.0)        1 (1 ; 1)   \n",
       "GHM=2                                              1.0 (0.0)        1 (1 ; 1)   \n",
       "GHM=3                                              1.0 (0.0)        1 (1 ; 1)   \n",
       "GHM=4                                              1.0 (0.0)        1 (1 ; 1)   \n",
       "dist                                               1.0 (0.1)        1 (1 ; 1)   \n",
       "drive                                              1.0 (0.1)        1 (1 ; 1)   \n",
       "\n",
       "                                                 Min ; Max  \n",
       "Covariate                                                   \n",
       "Household situation                                  0 ; 1  \n",
       "Professional activity                                0 ; 1  \n",
       "History of acute chest syndrom                       1 ; 1  \n",
       "History of avascular bone necrosis                   1 ; 1  \n",
       "Formerly or currently on a dialysis protocol         1 ; 1  \n",
       "History of heart failure                             1 ; 1  \n",
       "History of ischemic stroke                           1 ; 1  \n",
       "History of leg skin ulceration                       1 ; 1  \n",
       "History of known nephropathy                         1 ; 1  \n",
       "History of pulmonary hypertension                    1 ; 1  \n",
       "History of priapism*                                 1 ; 1  \n",
       "History of known retinopathy                         1 ; 1  \n",
       "Received orally administered opioids                 1 ; 1  \n",
       "Received Morphine                                    0 ; 1  \n",
       "Received Oxycodone                                   0 ; 1  \n",
       "Age at hospital admission                            1 ; 1  \n",
       "Baseline haemoglobin ($g/dL$)                        1 ; 1  \n",
       "Genotype                                             1 ; 1  \n",
       "Gender                                               1 ; 1  \n",
       "White blood cells ($10^9/L$)                         0 ; 9  \n",
       "Sodium ($mmol/L$)                                    0 ; 7  \n",
       "Hemoglobin ($g/dL$)                                  0 ; 9  \n",
       "Red blood cells ($10^{12}/L$)                        0 ; 9  \n",
       "Neutrophils ($10^9/L$)                               0 ; 9  \n",
       "Monocytes ($10^9/L$)                                 0 ; 9  \n",
       "Mean cell volume ($fl$)                              0 ; 9  \n",
       "Hematocrit ($\\%$)                                    0 ; 9  \n",
       "Chloride ($mmol/L$)                                  0 ; 7  \n",
       "Lymphocytes ($10^9/L$)                               0 ; 9  \n",
       "Mean corpuscular hemoglobin ($pg$)                   0 ; 9  \n",
       "Bicarbonate ($mmol/L$)                               0 ; 7  \n",
       "Proteins ($g/L$)                                     0 ; 7  \n",
       "Eosinophils ($10^9/L$)                               0 ; 9  \n",
       "Basophils ($10^9/L$)                                 0 ; 9  \n",
       "Potassium ($mmol/L$)                                 0 ; 7  \n",
       "Creatinine ($\\mu mol/L$)                             0 ; 7  \n",
       "Renal function by MDRD ($mL/min/1,73m2$)             0 ; 7  \n",
       "Reticulocytes ($10^9/L$)                             0 ; 9  \n",
       "Alkaline phosphatase ($U/L$)                         0 ; 7  \n",
       "Total bilirubin ($\\mu mol/L$)                        0 ; 7  \n",
       "Mean platelet volume ($fl$)                          0 ; 9  \n",
       "Asparate transaminase ($U/L$)                        0 ; 7  \n",
       "Alanine transaminase ($U/L$)                         0 ; 7  \n",
       "C-reactive protein ($mg/L$)                          0 ; 9  \n",
       "Glucose ($mmol/L$)                                   0 ; 6  \n",
       "Total calcium ($mmol/L$)                             0 ; 6  \n",
       "Gamma glutamyl-tranferase ($U/L$)                    0 ; 7  \n",
       "Platelets ($10^9/L$)                                 0 ; 9  \n",
       "Direct bilirubin ($\\mu mol/L$)                       0 ; 5  \n",
       "Lactate Dehydrogenase ($U/L$)                        0 ; 7  \n",
       "Nucleated red blood cells ($10^9/L$)                 0 ; 7  \n",
       "Urea ($mmol/L$)                                      0 ; 4  \n",
       "International Normalized Ratio                       0 ; 4  \n",
       "Mean corpuscular hemoglobin concentration ($\\%$)     0 ; 9  \n",
       "Prothrombin Ratio (percent)                          0 ; 4  \n",
       "Hemoglobin S ($\\%$)                                  0 ; 3  \n",
       "Hemoglobin F ($\\%$)                                  0 ; 3  \n",
       "Heart rate (bpm)                                    0 ; 30  \n",
       "Respiratory rate (mvt/min)                          0 ; 28  \n",
       "Systolic blood pressure ($mmHg$)                    0 ; 30  \n",
       "Diastolic blood pressure ($mmHg$)                   0 ; 30  \n",
       "Oxygen saturation ($\\%$)                            0 ; 32  \n",
       "Temperature ($^\\circ C$)                            0 ; 31  \n",
       "GHM=1                                                1 ; 1  \n",
       "GHM=2                                                1 ; 1  \n",
       "GHM=3                                                1 ; 1  \n",
       "GHM=4                                                1 ; 1  \n",
       "dist                                                 0 ; 1  \n",
       "drive                                                0 ; 1  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.set_option('display.max_rows', 150)\n",
    "columns = ['Covariate', 'At least 1 point (%)', 'Mean (sd)', \n",
    "           'Median (Q1 ; Q3)', 'Min ; Max']\n",
    "df = pd.DataFrame(columns=columns)\n",
    "n_visits = X.shape[0]\n",
    "for col in X.columns:\n",
    "    nb_nan = X[col].isnull().sum()    \n",
    "    tmp = [(0 if type(val) == np.float else len(val) - (val).isnull().sum()) \n",
    "           if type(val) == pd.Series\n",
    "           else (0 if np.isnan(val) else 1)\n",
    "           for val in X[col]] \n",
    "    df = df.append(pd.DataFrame([[col, \n",
    "                                  \"%.1f\" % (100*(n_visits-nb_nan)/n_visits),\n",
    "                                  \"%.1f (%.1f)\" % (np.mean(tmp), np.std(tmp)), \n",
    "                                  \"%d (%d ; %d)\" % (np.percentile(tmp, 50),\n",
    "                                                          np.percentile(tmp, 25), \n",
    "                                                          np.percentile(tmp, 75)), \n",
    "                                  \"%d ; %d\" % (np.min(tmp), np.max(tmp))]], \n",
    "                                columns=columns))\n",
    "df.index = df[\"Covariate\"]\n",
    "df = df.drop(['Covariate'], axis=1)\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### basic features description"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Household situation</th>\n",
       "      <th>Professional activity</th>\n",
       "      <th>History of acute chest syndrom</th>\n",
       "      <th>History of avascular bone necrosis</th>\n",
       "      <th>Formerly or currently on a dialysis protocol</th>\n",
       "      <th>History of heart failure</th>\n",
       "      <th>History of ischemic stroke</th>\n",
       "      <th>History of leg skin ulceration</th>\n",
       "      <th>History of known nephropathy</th>\n",
       "      <th>History of pulmonary hypertension</th>\n",
       "      <th>History of priapism*</th>\n",
       "      <th>History of known retinopathy</th>\n",
       "      <th>Received orally administered opioids</th>\n",
       "      <th>Received Morphine</th>\n",
       "      <th>Received Oxycodone</th>\n",
       "      <th>Age at hospital admission</th>\n",
       "      <th>Baseline haemoglobin ($g/dL$)</th>\n",
       "      <th>Genotype</th>\n",
       "      <th>Gender</th>\n",
       "      <th>GHM=1</th>\n",
       "      <th>GHM=2</th>\n",
       "      <th>GHM=3</th>\n",
       "      <th>GHM=4</th>\n",
       "      <th>dist</th>\n",
       "      <th>drive</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>253.000000</td>\n",
       "      <td>285.000000</td>\n",
       "      <td>329.000000</td>\n",
       "      <td>329.000000</td>\n",
       "      <td>329.000000</td>\n",
       "      <td>329.000000</td>\n",
       "      <td>329.000000</td>\n",
       "      <td>329.000000</td>\n",
       "      <td>329.000000</td>\n",
       "      <td>329.000000</td>\n",
       "      <td>329.000000</td>\n",
       "      <td>329.000000</td>\n",
       "      <td>329.000000</td>\n",
       "      <td>275.000000</td>\n",
       "      <td>275.000000</td>\n",
       "      <td>329.000000</td>\n",
       "      <td>329.000000</td>\n",
       "      <td>329.000000</td>\n",
       "      <td>329.000000</td>\n",
       "      <td>329.000000</td>\n",
       "      <td>329.000000</td>\n",
       "      <td>329.0</td>\n",
       "      <td>329.0</td>\n",
       "      <td>324.000000</td>\n",
       "      <td>324.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>0.241107</td>\n",
       "      <td>0.140351</td>\n",
       "      <td>0.753799</td>\n",
       "      <td>0.252280</td>\n",
       "      <td>0.006079</td>\n",
       "      <td>0.003040</td>\n",
       "      <td>0.021277</td>\n",
       "      <td>0.069909</td>\n",
       "      <td>0.039514</td>\n",
       "      <td>0.063830</td>\n",
       "      <td>0.094225</td>\n",
       "      <td>0.121581</td>\n",
       "      <td>0.042553</td>\n",
       "      <td>0.989091</td>\n",
       "      <td>0.025455</td>\n",
       "      <td>29.854062</td>\n",
       "      <td>8.861398</td>\n",
       "      <td>0.705167</td>\n",
       "      <td>0.495441</td>\n",
       "      <td>0.796353</td>\n",
       "      <td>0.203647</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>21.085231</td>\n",
       "      <td>26.559053</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.428603</td>\n",
       "      <td>0.347962</td>\n",
       "      <td>0.431453</td>\n",
       "      <td>0.434982</td>\n",
       "      <td>0.077849</td>\n",
       "      <td>0.055132</td>\n",
       "      <td>0.144525</td>\n",
       "      <td>0.255382</td>\n",
       "      <td>0.195110</td>\n",
       "      <td>0.244822</td>\n",
       "      <td>0.292586</td>\n",
       "      <td>0.327299</td>\n",
       "      <td>0.202155</td>\n",
       "      <td>0.104065</td>\n",
       "      <td>0.157788</td>\n",
       "      <td>10.418277</td>\n",
       "      <td>1.533746</td>\n",
       "      <td>0.456662</td>\n",
       "      <td>0.500741</td>\n",
       "      <td>0.403323</td>\n",
       "      <td>0.403323</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>37.009418</td>\n",
       "      <td>21.015655</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>16.345205</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.969000</td>\n",
       "      <td>7.183333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>22.065753</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.792000</td>\n",
       "      <td>19.062500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>27.408219</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>15.475000</td>\n",
       "      <td>25.308333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>34.772603</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>21.346500</td>\n",
       "      <td>29.766667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>83.084932</td>\n",
       "      <td>13.500000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>586.227000</td>\n",
       "      <td>318.150000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Household situation  Professional activity  \\\n",
       "count           253.000000             285.000000   \n",
       "mean              0.241107               0.140351   \n",
       "std               0.428603               0.347962   \n",
       "min               0.000000               0.000000   \n",
       "25%               0.000000               0.000000   \n",
       "50%               0.000000               0.000000   \n",
       "75%               0.000000               0.000000   \n",
       "max               1.000000               1.000000   \n",
       "\n",
       "       History of acute chest syndrom  History of avascular bone necrosis  \\\n",
       "count                      329.000000                          329.000000   \n",
       "mean                         0.753799                            0.252280   \n",
       "std                          0.431453                            0.434982   \n",
       "min                          0.000000                            0.000000   \n",
       "25%                          1.000000                            0.000000   \n",
       "50%                          1.000000                            0.000000   \n",
       "75%                          1.000000                            1.000000   \n",
       "max                          1.000000                            1.000000   \n",
       "\n",
       "       Formerly or currently on a dialysis protocol  History of heart failure  \\\n",
       "count                                    329.000000                329.000000   \n",
       "mean                                       0.006079                  0.003040   \n",
       "std                                        0.077849                  0.055132   \n",
       "min                                        0.000000                  0.000000   \n",
       "25%                                        0.000000                  0.000000   \n",
       "50%                                        0.000000                  0.000000   \n",
       "75%                                        0.000000                  0.000000   \n",
       "max                                        1.000000                  1.000000   \n",
       "\n",
       "       History of ischemic stroke  History of leg skin ulceration  \\\n",
       "count                  329.000000                      329.000000   \n",
       "mean                     0.021277                        0.069909   \n",
       "std                      0.144525                        0.255382   \n",
       "min                      0.000000                        0.000000   \n",
       "25%                      0.000000                        0.000000   \n",
       "50%                      0.000000                        0.000000   \n",
       "75%                      0.000000                        0.000000   \n",
       "max                      1.000000                        1.000000   \n",
       "\n",
       "       History of known nephropathy  History of pulmonary hypertension  \\\n",
       "count                    329.000000                         329.000000   \n",
       "mean                       0.039514                           0.063830   \n",
       "std                        0.195110                           0.244822   \n",
       "min                        0.000000                           0.000000   \n",
       "25%                        0.000000                           0.000000   \n",
       "50%                        0.000000                           0.000000   \n",
       "75%                        0.000000                           0.000000   \n",
       "max                        1.000000                           1.000000   \n",
       "\n",
       "       History of priapism*  History of known retinopathy  \\\n",
       "count            329.000000                    329.000000   \n",
       "mean               0.094225                      0.121581   \n",
       "std                0.292586                      0.327299   \n",
       "min                0.000000                      0.000000   \n",
       "25%                0.000000                      0.000000   \n",
       "50%                0.000000                      0.000000   \n",
       "75%                0.000000                      0.000000   \n",
       "max                1.000000                      1.000000   \n",
       "\n",
       "       Received orally administered opioids  Received Morphine  \\\n",
       "count                            329.000000         275.000000   \n",
       "mean                               0.042553           0.989091   \n",
       "std                                0.202155           0.104065   \n",
       "min                                0.000000           0.000000   \n",
       "25%                                0.000000           1.000000   \n",
       "50%                                0.000000           1.000000   \n",
       "75%                                0.000000           1.000000   \n",
       "max                                1.000000           1.000000   \n",
       "\n",
       "       Received Oxycodone  Age at hospital admission  \\\n",
       "count          275.000000                 329.000000   \n",
       "mean             0.025455                  29.854062   \n",
       "std              0.157788                  10.418277   \n",
       "min              0.000000                  16.345205   \n",
       "25%              0.000000                  22.065753   \n",
       "50%              0.000000                  27.408219   \n",
       "75%              0.000000                  34.772603   \n",
       "max              1.000000                  83.084932   \n",
       "\n",
       "       Baseline haemoglobin ($g/dL$)    Genotype      Gender       GHM=1  \\\n",
       "count                     329.000000  329.000000  329.000000  329.000000   \n",
       "mean                        8.861398    0.705167    0.495441    0.796353   \n",
       "std                         1.533746    0.456662    0.500741    0.403323   \n",
       "min                         5.000000    0.000000    0.000000    0.000000   \n",
       "25%                         8.000000    0.000000    0.000000    1.000000   \n",
       "50%                         9.000000    1.000000    0.000000    1.000000   \n",
       "75%                        10.000000    1.000000    1.000000    1.000000   \n",
       "max                        13.500000    1.000000    1.000000    1.000000   \n",
       "\n",
       "            GHM=2  GHM=3  GHM=4        dist       drive  \n",
       "count  329.000000  329.0  329.0  324.000000  324.000000  \n",
       "mean     0.203647    0.0    0.0   21.085231   26.559053  \n",
       "std      0.403323    0.0    0.0   37.009418   21.015655  \n",
       "min      0.000000    0.0    0.0    1.969000    7.183333  \n",
       "25%      0.000000    0.0    0.0    8.792000   19.062500  \n",
       "50%      0.000000    0.0    0.0   15.475000   25.308333  \n",
       "75%      0.000000    0.0    0.0   21.346500   29.766667  \n",
       "max      1.000000    0.0    0.0  586.227000  318.150000  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.set_option('display.max_columns', 100)\n",
    "basic_features = X.describe().columns\n",
    "X.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Création des 2 nouvelles variables\n",
    "X['Hemoglobin gap from baseline ($g/dL$)'] = X['Hemoglobin ($g/dL$)'] - X['Baseline haemoglobin ($g/dL$)']\n",
    "X['Unconjugated bilirubin ($\\mu mol/L$)'] = X['Total bilirubin ($\\mu mol/L$)']\n",
    "for i in range(n_visits):\n",
    "    val = np.nan\n",
    "    if type(X['Direct bilirubin ($\\mu mol/L$)'].values[i]) != float:\n",
    "        direct_bili_val = X['Direct bilirubin ($\\mu mol/L$)'].values[i].values\n",
    "        total_bili_val = X['Total bilirubin ($\\mu mol/L$)'].values[i]\n",
    "        while len(total_bili_val) > len(direct_bili_val):\n",
    "             direct_bili_val = np.append(direct_bili_val, direct_bili_val[-1])\n",
    "        val = total_bili_val - direct_bili_val\n",
    "    X['Unconjugated bilirubin ($\\mu mol/L$)'].values[i] = val"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Temporal data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Genereting figures...\n",
      "C-reactive protein (mg/L)\n",
      "Done in 22.18 seconds!\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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YxtlUK5WmShCU44vMj5evo4xBalcLmtl+6aryDF/DVnnNyqacv0AtTnbua1RouCPllfcpUFXu1QByHXjmQr7PQ/Ixyvl1FvZVBGbUNhvv026Z7N0fTI2FdLPjRoyN4mV6LjwfFOO1KBkahJfl5PNE5GeZJoQId3dZGEaB+6AYb2ayIvKmNHIfUTooQIFhPAYWKMbrkKPIlKgva+OWGAeQJCkPpjFmVgfnMow7YIFivJF0UH9UMcwyOzBOo0RHZgrrg5QZxi1wHxTDMAzjkbAFxTAMw3gkHjOj7uzZs0V8fLy7i8EwDMNMEmVlZY+FEHOsbfcYgYqPj0dpqaU8nAzDMMxURJKkOlvb2cXHMAzDeCQsUAzDMIxHwgLFMAzDeCQsUAzDMIxHwgLFMAzDeCQeE8XHMAwzVjo7O9Hc3IzBwUF3F4UB4O/vj6ioKISFhY3rPCxQDMN4NZ2dnWhqakJsbCyCg4MhSZK7izStEUKgt7cXDQ0NADAukWIXH8MwXk1zczNiY2MREhLC4uQBSJKEkJAQxMbGorm5eVznYoEaK4MDwPWzgMHg7pIwzLRmcHAQwcHB7i4GY0ZwcPC4Xa4sUGOluQ4oLwZunHV3SRhm2sOWk+fhinfCAjVWYhOB+BXAtdNA+/jMWIZhGGY0LFDjYe1uICAQOP8RYDS6uzQMwzBTChao8RAcCqzdAzxuAKrOu7s0DMMwUwoWqPESnwzEJQFXTgIdj91dGoZhvIyEhARIkoTy8nKL2zMyMiBJEgoLCx06nyRJKC4udmUR3QYL1HiRJGDdHsDPHzj/McAzFDMMMwYOHz48ap1er58yYjMWWKBcQchMIG0X0HwfuHnJ3aVhGMbL0Ol0yM/PH7X+/fffh06nc0OJPAMWKFehXUmRfZeLga52d5eGYRgv4uDBg9Dr9aPcfAUFBTh48OCIdTU1NcjMzER4eDgkSUJqaqpNKysnJ2fYjZiRkWHVleiJcKojVyFJwIZ9wMc/IVdfxrdpHcMwk86xY0Bjo3uuPXcusGuXc8doNBrs378feXl5yMvLA2By7+Xl5SEnJ2d434yMDGg0GhQUFCAiIgI5OTnIzMxEe/vohnFmZiZqamqQl5eHiIgI5OXlITU1FdXV1dBqteO6z8mALShXEjoLSN0BNNYCd7ynlcIwjPs5ePAg3n///eHPinvPXEhycnJQUFCA9PR06HQ65OTkQK/XjzpfTU0NCgsLceLEieF98/LyoNVqvaZfiy0oV5OoA+5dB8o+B2IXk2gxDDOpOGvBeAL79+9HZmYmysvLodPpLLr3ACArKwvFxcUoLCxESUmJVbFRXHmLFi0asV6v16OsrMz1NzABsAXlaiQJ2Pg8IIzAhU85qo9hGIdR3HwAUFxcjP3794/aJzU1FdnZ2QCA7OxsnDhxwuY5a2trRyzt7e3Izc11feEnALagJoKZ4cCadKDkKFBzDUhY5e4SMQzjBWRnZyMzMxOpqanQarWj3HvFxcUoLy+HUDV8rQU9KNF/bW1tI86TmZmJ7OxspKenT8AduBa2oCaKZeuAqDgSqZ4ud5eGYRgvID09HXq9Hjk5OcNWkpqIiAgAQH5+/nAQRWZmJoDRQqXVapGeno7U1FQUFhaivLwcmZmZKC4uRlpa2sTfjAtggZooFFefYQi4eIRdfQzDOMT+/fuh1+stuvd0Oh1yc3ORk5ODRYsWITc3F0VFRdDpdHj22WdH7V9UVIQDBw7g9ddfR2pq6nD/k0ajmYxbGTeS8JCKMy0tTZSWlrq7GK7nxldAWRGwNZPSIjEM41KqqqqQlJTk7mIwFrD3biRJKhNCWDXn2IKaaJI2ArNjgUufAb1P3F0ahmEYr4EFaqLx8QE2vgAM9AGlx9xdGoZhGK/BqSg+SZI0AN4QQuSYrc8C0KZ8FkIUOrN9yhMeBazcShnPFyYDccvcXSKGYRiPx1kL6g0AI3rXJEk6BKBUCFEoC89aSZK0jm6fNiRvBiLmApeOAP297i4NwzCMx+OwQMmi0mph00EhhDq+sQhAthPbpwe+vuTq63tCWSYYhmEYmzhjQekAjAi0l0XLPF6xDUC6I9unHZHzgOSngLuXgYa77i4NwzCMR+OQQEmSlG6l30gLwDxLoR4kZo5sH6alpQVpaWnDi6W5UaYEK58GNHOAC58AA/3uLg3DMIzHYjdIQg6MsIYGquAHmTYntg8zZ84cTMlxUOb4+pGr79jPgfIimqKDYRiGGYUjFlS6EMI7crN7C3PmA0kbgNulwKNad5eGYRjGI7EpUJIkjep3MkMPIMJsXYQT26cvq7cDMyOACx8DgwPuLg3DMIzHYc/FlwZAI5lmhl0LQCuHjhcCqMHoIAgNTKJmb/v0xc+fcvV9/kvgyhfAWi+cwIZhGGYCsWlBCSHyhRBvKguAw6AxTW8KIWqEEDUWDosAUCofb3P7tGduPLB0LXDzItBc7+7SMAzjBjIzMyFJksVFyVQ+2UiS5BGz7o5lPihzF12eJEn7VVF+mQByndg+vVmTDjTcAc5/BOz7AQVRMAwzrdDpdHjrrbdGrfeWrOMThcO1oZyuKBvk4ssF8PdCCL0Q4k1Jkg5JkpQOCisvUltO9rZPewICgQ3PAcXvAle/BHTTc4gYw0xnIiIihicYZEw4LFBCiHwAFgcnye4/W8fa3D7tiUkAEnVA5Tlg4XIgMsbdJWIY76bkGNDe6J5rh8+dkD7lnJwcFBYWoqamBunp6cjNzR0WNUmSUFRUhNzcXBQXF0On06GgoACFhYXIy8tDTU0NsrKyhqeTr6mpQU5ODoqLi6HX64fnmbI2y66ta08knM3cU0jdAQSFAuc+AgwGd5eGYRgPQpkJNy8vD2VlZdBqtUhNTUVNjckZlZ2djZycHJSVlUGv1yMhIQHV1dXDwpWfnz/cr5SRkYGamhoUFBSgrKwMERERVvu7HLn2hCGE8IglNTVVTHvqbwnxzv8jxJWT7i4Jw3gNlZWV7i7CuNi/f78AMGrRaDRCCCGqq6sFANHe3j7iOK1WK/Ly8oQQQgAY/l8IIXJzcwVV7yY0Go0oKCgQQgiRl5cnqqurh7cVFRWN2B+AKCoqcujatrD3bkBBd1Z1gXvkPYn5SwDtSqDiNBCXBIRHu7tEDMNMAopLzhLl5TQqZ9GiRSPWK9O3K2i1pkkiNBrNiM8A9XMpZGVlobi4GIWFhSgpKbEasefotScKFihPI20X8LCaXH27X6MJDxmGmdJERESMEhRzamtdl3UmNTUVer0e2dnZyM7OxhtvvIHU1NRJubYzcO3naQSFAOv3Aq0PKWiCYZhpjRKM0NbWBo1GM7y8/vrrY8pfWlxcjPLyclRXV+PQoUNWAyMm4trOwgLliSxcTsvVLwF9i7tLwzCMG9FqtUhPT0dqaioKCwtRXl4+HLiQlpbm9PkUV19+fj70ej2Ki4uHAyQUl95EXdtZWKA8lXV7KB3S+Y8Bo9HdpWEYxo0UFRXhwIEDeP3114fdc2VlZWMayKuElOfk5GDRokXIzc1FUVERdDodnn322Qm9trNIFEjhftLS0sS0mG7DGWquAWd/T2Mqkja4uzQM45FUVVUhKSnJ3cVgLGDv3UiSVCaEsGqKsQXlySxKoci+yyeATovTaDEMw0xZWKA8GUkC1u8DJB+alsNDrF2GYZjJgAXK0wkNA9J2Ao33gDsTP+6AYRjGU2CB8gYWrwHmaYGyz4EnHe4uDcMwzKTAAuUNSBJNbggA5z9hVx/DmOEpwV6MCVe8ExYob2GGhuaOengXqLnq7tIwjMfg7++P3t5edxeDMaO3txf+/v7jOgcLlDexdC0QvZCmEujpcndpGMYjiIqKQkNDA3p6etiS8gCEEOjp6UFDQwOioqLGdS7OxedNKK6+T/4LuPgpsO0VWscw05iwsDAAwMOHDzE4OOjm0jAAWbXR0dHD72assEB5G2GRwOrtFDBx7zqNlWKYaU5YWNi4K0PG82AXnzeStAGYHQuUHAV6n7i7NAzDMBMCC5Q34uMDbHwBGOgHSj5zd2kYhmEmBBYobyU8Clj5NHDvBnC/yt2lYRiGcTksUN5M8lNAxDzg4hGgn8NsGYaZWrBAeTO+vsCmF4D+Hgo9ZxiGmUKwQHk7EXOBFVto8G7DHXeXhmEYxmWwQE0FUrYAmihKgzTQ5+7SMAzDuAQWqKmArx+5+nq7gLIid5eGYRjGJbBATRVmxwLLN9GUHI9q3F0ahmGYccMCNZVYtY0yTVz4BBgccHdpGIZhxgUL1FTCz59cfd16miaeYRjGi2GBmmpExQFL1wG3LgHN991dGoZhmDHDAjUVWfMsEDoLOPcRMMTZnRmG8U5YoKYi/gE0LUdnK3D1S3eXhmEYZkywQE1V5mmBxFSg8hzwuMHdpWEYhnEaFqipTGoGEDyTXH2GIXeXhmEYxilYoKYyAUHAxucAfTNQccbdpWEYhnEKFqipTmwioF0FXD8DtDW6uzQMwzAOwwI1HVi7CwgMkV19BneXhmEYxiFYoKYDgcHA+r1A2yMKmmAYhvECWKCmC3FJQHwyhZ3rW9xdGoZhGLuwQE0n1u4BAgKB8x8BRqO7S8MwDGMTFqjpRHAosHY30PIAuHnR3aVhGIaxiZ+9HSRJ0gDIkj9GAmgVQrxptk8WgDblsxCi0JntzCQSvwK4d52Syc5fQtnPGYZhPBBHLKgsIcSb8pIDIEMWHACAJEmHAJQKIQpl4VkrSZLW0e3MJCNJwPp9NMnh+Y8BIdxdIoZhGIs4IlC5kiTpVJ/LAaSqPh8UQpSrPhcByHZiOzPZhMwE0nYCTXXArRJ3l4ZhGMYijghUgpnAaAGUAYBsCWnM9m8DkO7IdsaNJKwGYhKAy8U0fxTDMIyHYVeghBDD84fLgqMVQuTLq7QAzGs3PQCdg9uHaWlpQVpa2vCSn59vvgvjSiSJMp4D7OpjGMYjsRskAQwHShwAkAHgWdUmDVTBDzJtTmwfZs6cOSgtLXWkOIyrCJ0FpO4ALnwK3L0MJI5qNzAMw7gNh8LMhRB6IUS+ECITQIFZnxTj4QwNAbW1VoykxFRgbjxQehx40jnZRWMYhrHKWMZB5QEokP/XA4gw267+bG87MwlUVQHvvAPU1VnYKEnAhucBYQQufsquPoZhPAabAiVJUrokSWVmq2tAfUvK/+ZBEBpQpJ8j25lJoLwcCA8HFi60skNYBE0T/+A2UFsxqWVjGIaxhj0LSgPgsNm6YQtIHUBhtr3Uke3MxNPWRu69NWvIWLLK0nXAnAVAyVGgt3vSyscwDGMNmwJlJeNDNoAc1ec8SZL2qz5nAsh1YjszgZSXAz4+JFA28fEBNr0ADA0Clz6blLIxDMPYwpEovnw5GwRAqY5K1KmOhBBvSpJ0SJKkdJDrr0htOdnbzkwcBgNw5QqQmAjMnOnAAbNmA6u2AeXFQF0lsHD5RBeRYRjGKnYFSgihB/CmnX3GtZ2ZGG7fBrq7gdRU+/sOs3wTidPFI0B0PBAUMlHFYxiGsQlnM5/ClJcDYWHA4sVOHKS4+gZ6gdJjE1Y2hmEYe7BATVE6OoC7d6nvycfZtxweDaRsBWquUWQfwzCMG2CBmqJcvkx/7QZHWGPFFkATBVz4BBjoc1m5GIZhHIUFagpiNJJAJSQAGvNRaI7i6ws89SLQ94SyTDAMw0wyLFBTkOpqcvHpxpuQKjKGgibuXgZO/paznjMMM6mwQE1BysqA0FBg6VIXnGz1diA1A3hUA3z8n0DFGYpfZxiGmWAcymbOeA9dXRRevnEjeenGjY8PkPwUTRVfcoymiq+5CqzbC8xb5IILMAzDWIYtqCnGlSvUBzVu9545obOAbQeBZ78BGA1A0TvAmQ+Ani4XX4hhGIZggZpCCEFjn+LjgcjICbpIbCLw3A+BlU/TgN6P/gOoukiqyDAM40JYoKYQtbVAe/sEWE/m+PkDq58Bnv8hMGc+JZj97C2g5cEEX5hhmOkEC9QUorwcCA4Glk9WCr2wSODZbwJbM4G+buDoz4DznwB9PZNUAIZhpjIcJDFF6OmhiQnT0gC/yXyrkgTEJwMxi4FrXwI3LwL1VYAuA0hYbWeOD4ZhGOuwBTVFuHqVor+dSgzrSgICgbSdwN5sYGYkcO4j4PgvgPYavKPYAAAgAElEQVSmSS+K0QjcvEnjwdrbuXuMYbwVtqCmAELQ2Kf584GoKDcXJjwa2PU9oPoKUF4EHMkDlq0HVm4jEZsEjh4FSkpMn319KaNGRMToRaNxUTg+wzAuhwVqClBfDzx+DLzwgrtLIiNJwOI1wPylNG6q8jxw7zqQtovmmJpAt9+lSyROGzYAy5bRjMLqpa4OGBgw7e/jA8yaZRKsyMiR4jWp7lKGYUbAP78pQFkZEBgIJCe7uyRmBIUAG58jsbp4BDhdAMQkAOv2UICFi6muBo4dowwaO3aQ+MTHj9xHCODJk9HC1dYGVFQAfaq8uJI0UrzUS3g44O/v8ltgGEYFC5SX09cHVFYCq1YBAQHuLo0V5swH9rwO3CoBrnwBfPwTYMVmWvxcU8u3tADvvw/MmQO8/LL1KUYkCZgxg5a4uJHbhAB6ey2LV2UlBaKoCQuzLl6Bk+PNZJgpDQuUl3PtGjA4OAljn8aLjw+QtJ5cfGWfA9dOAbXXyJqKTRzXqXt6gN/8htxxr746dqGWJCAkhJb580dv7+2loAtz8VJmLlYzY4Zl8YqIAIKCxlY+hplusEB5MUrmiHnzgJgYd5fGQUJmAlteBhbrgEtHgBO/BuKSgLW7KJ2SkxgMwOHDlIPwO98hl9xEERxMi6Vn3d9vEq/WVpN4VVdT+ik1ISHWxSs4mCPzGUaBBcqLefQIaGwE9u51d0nGwLxFwL4/BirPARWnKWXSqm3Asg0Oh9UJAXz6KQU+vPyyZatnsggMBObOpcWcgQHLllddHfV7CWHaNyjIsnBFRpKwsXgx0wkWKC+mrIw66lNS3F2SMeLrC6RsARalULqksiIKT1+3F5gbb/fw8+dpYsatWz37GQQEANHRtJgzNGRZvBoagBs3RopXYKB1y2vGDBYvZurBAuWlDAxQ6zs5eQr0aczQAM98Hai/RUL1+S8B7Sqahyp4hsVDbt8GiooordMzz0xucV2Jnx8FdsyZM3qbwQDo9aPFq7GRsoaoByD7+48WLa9y/TKMBVigvJTr10mk3JY5YiJYsBSYp6VJEW98BTy4Bax5FkhMHRGW19QEFBZSBfzSS1PXcvD1Jdeepcz0RiPNmmwuXi0tJN4GA0V2vvTS5JebYVwFC5SXUl5OrW539rtMCH7+wJrtgHYljZ26eISmnF+/F5gdi+5uitgLDAReeWX6jkXy8aFw9vBwICFh5DajEejsdE+5GMaVcC4+L6SpCXjwgKynqWo9YNZsIOPbFPHX0wkc/RmGvvoMh98bQE8P8PWv0zgkZjQ+PpQFQ6Nxd0kYZnywBeWFlJeT+2flytHbamvJ/bd8OWVR8Oo8c5JEARSxiRCXT+LjX3ei/lEJDnw/EjHzlgKYqurMMAzAAuV1DA5S5vLlyyns2JzWVgqeKCujMTVLlwJJSeQG8tq8cgFBODuwG9eCurB97Sksby4CPl9I0X7h7s6OyzDMROGtVda0paqK0htZyxyRlgasXk0DRCsradqJK1eozyYxkYRt8WIPTotkgcpK4MQJYOWGmdjy4l6gOkbOlP5TIGkjTT/v70U3xDCMQ7BAeRllZRRCbJ4EVY2fH1lOS5dSNFdtrUmsrl+nwILFi8myWrLEs8PUHz4E/vAHYMEC4PnnAclHAhJ1wIJlwOViivarrQDW7aZ1U7ZTjmGmHyxQXsTjx5R9ID3d8XrY15fEaPFiYN8+Or6qyrT4+pL7LymJBM2S23CyMBgodF5Z2tqAX/2KotJSUijvoGl7CAYGnoevtAba+k+R8OQwfOYnAmt3A2ER7rsJhmFcBguUF1FeThFaq1eP7XgfH2DRIlp276ZIwMpKEqrbt03TUyxfTnMpzbA8RhZCjBQS9TI4aH2bvX0NBtM1DAZyTfb0AGvWAJ99NrIMvr7kpvT3X4ALHdlIM15CBr5AQKMqU7ovf70ZxpuRhDqXihtJS0sTpaWl7i6Gx2IwAP/8zzRFxMGDrj23EJTXr6qKBKu1lSy0uDiyrJKSRiZh7e0FcnMdO7ckkZDYWvz9R38+eRK4f58mYUxKGr2vOjrx6lXgk0+AyKBOvLrsc8xquw7MjJAzpS927cNiGMZlSJJUJoRIs7qdBco7uHEDKCgAvvENCnaYKISgbASVlbQ0N9P62FiyrJKSaHzNhQuOCY6fn/PdQidPAqdO0aSDmzY5dkxDA/C731FW8YNbqpHQ+hnQ2UrTe6TtAkJ50BTDeBosUFOEd9+lPqg//3Prk/FNBK2tJjfgw4e0bu5cEqrlyy3nkBsPFRXABx+QW+/5550Tt64uEqmGBmD7tiFsiTgHqeI0PbBVzwBL13n5wDCGmVqwQE0B2tuBf/1XYNs2WtyFXm9yA9bX07o5c0xiFR09viC6Bw+AX/6SrLVvf3tsWjI0RO6+q1cpke4Lz7Yj4PJnQMMdIDyaUiZFxdk/EcMwEw4L1BTgiy+AM2eA//bfJnZCPmfo6jJFAt67R67B8HCTGzA21jmx6ugA3nqL3IOvvz6+aEIhaCqOoiISzVcOCmi65EzpTzqAhNWALgMIDh37RRiGGTcsUF6O0Qi8+SZltH71VarA/fwm181njydPgFu3yLKqqaEyh4WZLKsFC2yXd2AA+PnPyUJ77TXrbsOWFhJBdUYMg4Ei/WbOHL3/3buU9dzXFzhwAFgYM0CTI1aeA/wDTZnSeewUw7gFFigv59Yt4B/+gQbTzp5tWu/rS2KlCJal/21tc+R/5bMzrrbeXgpZr6ykbBZDQxSuvmwZidXChSPPZzTSlO23b1MAyGIrQXePHgHvvAOsWEHjuQAStl//mvqcfvCDkc9H4fFj4Le/JfHbs0eenkTfQtPNN94DZscC6/cBkfMcv0kPRwgSbq9NbcVMG1igvJzf/IYq7717qeIZHKRlaMjy/7a2qccZOYOPj/Oi5u9vCl9/8IBExGAg111iIglWQgJFA5aW0risTZtIvMwNmsZGEqfAQOA736Eowv5+EqcHD+ha0dHAd79r2Rjq6yNL6u5dYN06YOdOwNdHUAaK0uNAfw+wdC2wejsQ4MFpNezQ0kJBJhUV5DLdtIlmG/amtFbM9IIFyovp7AT+5V+AzZuBZ58d//mMRpNgjUXgnD1GjcFAwR4tLRQZODRErrknT2hwsE5nEie14PX2koD5+wNPP22aQuKrryjl0yuv0LU+/JBEfO1a6/deXAycO0cDlTMz5X6ugT7gyhfArRIgKBRI3UEZ1L3E7dfRQemrKipIyCUJ0Grp3ioqqM9y927KEuIlt8RMI+wJlF0ngCRJGgAHAGgArAVQJITIN9snC0Cb8lkIUejMdsYyly+TFbJmjWvO5+NjGp800QhBImRJuPr6yHL63e/o87x5JFzz5lFwxdy5VJk+fkyiEhJC1kBQEKU/OneO/n7vexSpJ4aGcO2Dayj+dBmWLg2xOE+Ujw+Nq4qOpii/t96iOaWiooJoQG/Capoc8ezvgbvllCld4+IYehfR00Mu1IoKSl0F0MSVu3fT81AygKxdCxw5Qs95yRLaHh7uvnIzjLPYtaAkScpSC5IkSWUA8pR1kiQdAlAshCiXP+fK22sc2a7AFtRIhKDQ8ogICrmeSrS3k0CEhJBbrrnZNNaqu5ssqagoSm4bFUVRfbNnk7C9+y65DTMzKQgDRiNw6n2037yHn1R/B4t0c/H1r9u2FtSDer/2NXI3AvK57pYD5cXA0ACwfBOQstVupvRHj4CLF8m6e+qpiZnld2CA+iMrKshVaTTSM1m5kvrlIqykHzQYgEuXaPCz0Uguv02buH+K8QzG5eKTJEkLQCuEKFat2w/gDSFEquoCqart6QAyhBA5jmxXYIEaSXU1Vcb791MFNFXo66OIve5uitiLjDRtE4LGV128CLz3HlkKOh3d/6JFlIuwo4Mi8pYupQMGT30I33tX4bN+N87r1+P4ccee2YhBvduBLVtUotb7hKbzqL4ChM6iBLQLRvvIHj6kjBe3bpFVOjBAFsrevdaDPZzBYKCoyIoKEuuBAYqOTEmhxZlxZ52dwPHjlJEkMpICRsynimeYyWa8Lj4NgAIAasdADQCtfHKtvI+aNgDpjmxnrFNWRhbGcOt+CmA0UrBCaytZhWpxAqiyDQujwIdNm4Bdu8j1d/UqRfr19FBfXGUlcOe2QMDVowisvYr4l7ZjYdJ6rDdSZX70qKkfxhozZ5L19sknNM6sqYny/gUEgMZHPfUisHgNuf2+/B0wfwkJ1cxwNDSQMN2+TZNCPvMMsH49WVJHjpC4JidT+S2Fv9tCEemKChKTnh66xsqVJEpxcWPrSwoLI6tTSbz77rsk4jt3Ol9GhpksHHHx6RT3nPx52IKSraFcMwtJC6BaCCHZ266+zsKFC8Uc1QCYrKwsZGVljfP2vJMnTygxrBJxNlU4epSso+eftzzhYkcH8ItfkOvtj/6I+qK6u4F//3cKBJgxg0SgsxPQ9NUiZUYFEtKi8dT31iFxCX2dmpqAvDyq0F980X6ZRg3qfcUUiAGAzJibF4FrX6JDb8Slnq0437kJgSF+2LiRhCkw0LT70BD1kZ0+Ta7K7dupL8jeuLWmJhKl69cpJN7fn6zElBSyxlyZoWloiIJMzpyh8z7zDH3XPGlsHTM9cHkUnyRJRaA+pEJZrLKFEBmq7RoA7bJA2dyuPi+7+Ex89RVVmD/6ketz3bmL0lLg00+BjRsti25nJ6U5evKExjn19FCf1Icf0rYVK8ia1GqBufqLaL9cidvQ4VHQSkCSMG+eaWDwtWskEN/6luNurFGDeheattXXA+eKOuFTfgwxg5WYuzQS81/ei8CFWqvna2sjS+XuXSAmhu4pJmbkPnq9KSy8uZkEIiGBRGnZsokPZmlro0bDnTskzvv20aBqhpksXCpQsuBkCCGyVZ9ZoFyIEMB//AcQGkpRalOBmhpyeyUkUOSceUu9vp6spIYG6mvy86P+ljt3yDr5xjeoj2jGDAC3y4ALnwDxycDml9He4TOcH/DBAzpfRAQJw5w5wKFDIy0cW5gP6p0zB/jySyp/aCi5HdfG3qXcfl1tQPwKIG0nEGLZRyYElevYMbIE164li6u6mkRJyWcYF0eitHw5XWcyEYL6t44epYaATkcTYrpz4kpm+uAygZKFJVcRJ3mdy1x8LFDEvXtkSbz0ErBqlbtLM34ePwZ+9jPqA/n+90ksurvpPmtqqHL88kty623cSH0k0dHkdhsYAF5+mayZ4GAAtdeBsx8AMYuBba+M8nt1dpryA169SmH6SUl0jqQksmDs9d/09QE//SmVKTSUXIVbtgBpaSqLxjAEXD9Li48vsFrOlG7FR9bRQYOKTxzrR3dLNxLmdiB5bRhWbYnEihRppEvRTQwMUL/a+fP0jjIy6F3w2ClmIhn3OCgVb6jFSaYGo4MgNADKHdzOmFFeTuN9li93d0nGT28vWSRGI1kPJ0+SKClzTPn4kFDFxQFZWVQhPnlCWSMGBqiSPHKE/t+ZfBur9b+HT3Qc8PQBi50yYWFkoaxfT+f52c+o0j12DDh7lgatqvMDqitfIagsp05RGPycOaZQ7tWrzdxtvn7Aqm3AopXApc+AkmPA/SpgayYQTIOQDAay4iouD+LWpRYMNjchxUePjrAg+A76IKzuCpbHtUIzeyUQssrtGSwCAuh5r1pFz/zjj+m7uG8f9QUyjDtwyIKSxzLlCyH08ud0JfRckqRqIUSCat90AJkqN6DN7QpsQVGF/k//RG6WPXvcXZqxMzhIlf3PfkYWklZL4uDvT2K0aBFVep9/Tv0g3/gGrevqInHq7CSRuXCBXE2LQu4h7NJ7kMKjsOD7f4TFSY757Pr7gf/8TxLCLVso6k6dHzApifp6hKCAgbo6imh76inK2VdZSVF+M2dS8ER0tIWLCAHUXAMufgrhF4gHCZm40hCHykvt6H3YjJDeBiTPa0TK8kEsWL8YIn4lSq+H4MQHLTA0N2DL/Ao8lfQIfotTKN1ShPvVQAjqx/v8c+oLXL+eAikcdZUyjKOM28Un9yOVqwbeagBkCSHelD8fAlCjZIeQJCkP5NarcWS7AgsURbgdPUqJT72p1Wo0Uv9RbS0t9+9T5d7YSPNXbd1KAjR/PvUv9fWRELW0UJ9UQgKJkrIuMZEsrZgY4NUdDQg99w6aumfhg+7vorkjBMuWUaCFI1kRbt0iK277dipHf78pme2lS2Tl9PSQRbVnD/DccyMrYquDemWEoAi8m+ebYCz+NaTHD3BfLMPM6DCkLNJDuy4WvktWA3PmjzDZurpoXNL1S12YbajF3gWnsSjiMTBnAQnVwuVkqbmR3l4KwS8tJUHfuZPC59ntx7iK8Q7U1QEos7CpUAiRqdrvEMhtpwXQZiHVkc3tAAuUEMB//RdV4J4eXa9Uyoog1dVRBQ6QsPb3U8W/Zw+l11GjZINobCSrJDHRFMHX1kb9R83N1Ofz49daMPfK2+T+2vFdDAWG4cIFitAzGiloYcsW+5kbCgrIklMynldXUx9TXR25DyMiTGmYfH3pHbzwApXN39/yoN72djkH3hUDWqofw6f9IZYGV2Fj8AnEzmyH78pNwL4fDLv8rHH3LrnU2h8PYVVUNXbM+QKhA01AUAiwWAcsSQNmuLeTqqGByvjwIVnDe/ZYzhzPMM7CyWK9hAcPyCX23HPylBAehMFAwQ719SZR6umhbZGRZB1ptZT0taGBMrAvW0bh2urWdn8/RfM1NAAHD9I4n44OEqeODrK87t6lwbjSQC8Mty9jxYLH2PLDrYjSmirpzk4Kw1eSoe7YQf1K1lr23d0UGSkEVawNDXTcli3Uv+TnR+L02WfAH/5A7yI5mVx6iYnkCly0CPjoI7Io/HwF5oR2wrejEQv97mBlTAOSlg4hZPkK6pe6X0npksIigacP2s3pNzhIfWRnzwL+fgIZugboAr6C9OAm7RCbSFZVzGK3mS9GIw0eP3GCyvvUU441DhjGFixQXsJHH1HmgB//2L2+/t5eso4aG2lpaiKLRpmqIyyMKmtlUc/w29xMaYzCwylEXh1YoMzdVF9vyqOn15Nbr7WVROTyZRKuH3y7C08++hXOXZ+NEp+9GPSbgaQkctGpXZ/375OoNDaSOO7ePbqfSAhy6b33HvUz6XTU57V6tSnO4v59CqR4+JDckBkZdL/qhKyPHwNicACG7k7067uxIqoBf7K7HAtTF1Ci2eiFI8Wj8R5wugAwDAIbngcW2c9X9fgxjRW7d4/KsW97J+Z2lgF3yoDebmBmOLBkLV0vyD1x4N3d1Di4epUGNO/ZQ4loGWYssEB5Af39wD/+I42Fef75ybmmEORSU8RI+dvRYdpnxgyq8OfOpSUmhtxhlhrxStTc4CC5KNUZxQcHyaq6d4/y5CUnk4vsnXdMU0Rcv05uvb/6ix74n/wFTc2e8UfoCYnFhQvUP9ffT5bZ1q2mQa9GI0WbnThB29eupX6voCDqfzp1irJPaDTkqpMk4E//lIRVr6fK9sYNKm96Or0Dg4HGYFVUADcrDWi7347epjb49HVgRuAABgI1aByIwdxFM/GDH/lR0lpLPOkkkWqpB5I20DTzdlJCqAMUenuBDRuAbVsMCGi6Cdy6BDTVUd9U/AqyqiIdiJ2fAO7dI7dfSwu9k1274BHh8ox3wQLlBShZFl57jVrOrmZggKwbtVXU1ETrAYpyi4w0CZEiSjNsd58MMzQE/OpXZIF897s0ZYZ6229/S0EPX/saCUB7O7n16urIyursJMH40ev9iLv1DqBvBp79JjA3fvg8vb0kUhcuUD9WYiLND6U8r54eCmMvKSEhUqYViYwkQUtJoev85CcUEBEbS2N+JIncVRs2kJBduwZUVQr0tXcjtPcBVoReR8rcerqnhNVoCF6DqgfhuHSJXHL9/VSO3bvJKhyV185goMSzVReAqDgKRbcysFdNby9NNVJWRuK5Z48coNHeDNwuAWquAoMDJFBL15Jg+U2uv81goPfx5Zf0+emnaSybK9MyMVMbFigvID+ffuw/+MH4GsNCUOWsFqLGRrKUlNccFDTSKoqOpiktxjr9ghCUjujqVXLdJSebtg0NUXBBdTUFHaxeTWX5xS/Iupk5kyyhtjZgy6Yh7PJ7l6yNba9QclYL9PdT9N358yRKWi1VjHFxFGDxySeUC29ggCyy114zpS0SggI03nuP8ttt304plOrqyILrahtAYM8jJAVXIiX8NhbN7YJPfBK51OYuGjEQVwg6Li+P7j08nKIRly2jPrRRIem114ELHwO+/iRSKvG1RX09NV6amqjPbvdu2VIZ6Adqr9FEi/pmIDAYSFiNe4HrcKcxHFotuWAnI79eRwe5SKuqqI9v7166NsPYgwXKw3n0iCq53btpvImjGAzkXlELUWMjtbwVwsNHW0WzZrnWI3T2LLX0t22jRV2+w4ep/0dJDtvaCrz9Nlkp0dHU2q6vByRhxB8nHUZAy21g89doRls7DAyQ5Xn2LLmburrI/bh4MVlMALn9Ojtp8OmyZbTvgwdUkQYE0MDgrg4jfJ+0IjHkNlJCr2FJVAv858WQKMWvsDuAVpmpt6iILIeQEBKvlBQaOzQiFF7fApw6TGmS1jxL80058DIMBrIeT56kz9u2kcXn6wu6WPN91J26gZPFg7jXMov6qiJjMSMmAitSfLByJU0GOdGewDt3qE+wvZ0ycOzY4bgVzkxPWKA8nCNHKDjgxz+W0/lYoKdntBA9fmwKXPD3JytILUTR0RMfbHHzJolQcjKlE1IqQIOBEq9WVVEmgrQ0Km9+Pt3rwoWUaby7G7hwXuA7y48ivv8SsOE5YIljIYxGI/UdnTxJgtfWRves05EwJCRQ39exY9T/1dhIrfulS8lFWH6pHykxjfjOmi+RNLsewbOCAO0qEqYxzKR79SpZb4GBFLBx+zaVMTWVBHO4oh7oB85/BNRVAnFJwKYXHM4i0dFB4+SUiRz37aP1Sr7AGYH92LKgEqt8TqOmzg8VLfG43Z8MgyYGkXMDhqfssDa5oStQRyT6+ZE1mZbGmdIZy7BAeTADA5Q5YulS6p9RuHWLKt/Hj2np7qYfuDJf0rx5Jsto7lyqcCa7AmhspIi9qCjgO98xhRsbjcAHH1D5FauwpYUyOpSXk5h9+9tUYb/9c4G0GZewN+ookJoBJD9l97pGI7njTp+mZxMVRQKwZAmJxNmzVJFHR1OZysvJSuvoAGA0IHZWO76WchlB/S0oq4vFN19+gsVPL6YQ7nE+RPWg3p07yTouLydLZ+NG07T1EIL6pMqLgBnhFIoeHuXwdW7dItG9do3Ot2IFuSvT0uT3YDQCD24Dt0vQe68OVY3RuNazBnVDiyGCZ2H+AgkpKXTcRCWnbW0la6q6mr6ve/dOTP8q492wQHkwV65Q/813vztyeoe/+RuyDEJCqCJXltBQck1JElV6rlj8/Jw/preXLCdJonmbZs2i9ZJEFmFlJVXQTz1FIvJP/0SV6bp1FOEXFQX89L8EBmtv4YfJBQjUbSKXlw2M8mSEp09T5RcVRX1P5uOfentJDA8fJmGMjBDYlqbHvqQrCOmsxqW7MWg1RGHxKg0eDsUhIDQAP/yh66a2MB/Uu3w5WTjXr5OFvGULRRr6+4Mi8k4XAIP9wMbnHXJtNjTQ+W7epEaCEKbBs6tWWXDjdTwGbpcC1VfQ2SFQoV+Gij4dGodi4ePvB62W3HETMb2HeTb31FSyqKx5CpjpBwvUGBFi4n32P/85Vag/+tHIa925Q2HbkkTusrEuQ0OO72s0OlZmg4GE9ckTcqcpritl2oamJqow4+JonzNnSFASE8mKmDGDBuPeK23AloivsHrjDDyM3Q1fP8miaEqSKXVSdze56dasoZDwefPo2kYjDR4+eZJa7W1tQGRYH1bHPgDaGzHUN4ToyAFszQjBkm2LcenuXJw+Tfu1tFDo+3PPue69Dg2Ru+/qVbIYX3iBnsGJE3TvYWHUj7R6NeDT1wWcKSSxWrYOSN1pMQzu0SO6v9u3qeGyaRMJfns7BVHU15Nrce9eK3OIDQ4A965TUEXbIzT3hKPCsAEVncnQ98+Avz+JVEoKuUddGYnX30+ievEiWXw7dlgRU2bawQI1BoSgSLPYWGr1TURaF8XttWMHVTaTzuMGIGw2EEAdVUI4Jniffkoupl27qEJU1p88SSKyZg21yJuaaFxUczNZUtu3kwetpQX4wy+bYHzchKWJRqx8cRUkH2nUtQYHqdK9e5eEbsYMEr3wcKrYnn+erKiKCgrFrqggay0u+gleXvoVdsedh6+/BOO8RNwwrMfpW/FoafXB7NlkxcTHk2AoU9D/z/8pZ7BwUaVpbabe2lq67oMH9L3avh1IWmKAdOUEUHmOcvZtPQCE0kCyxkaTxRQcbBImdf+iENS3V1REbuNNm8jtaTHLgxD07m+VAHU3IIaGUO+bjGv963CjeQF6+30QEkLCunIlueVc9UyamkxiGhdHYmoxAS8zbWCBGgP9/TTdQFUVtc7j48m/v2zZ2MOxzTl+nMKl/+IvJmGSOnNzsPcJ8Ml/AlELgW0HHT7NqVMkROnpwObNplMfOUIRdU8/TQEKdXXAX/4lWSjf/z5ZKD4+JDo//n4LbpZ34JXdrXj1r9ciKGRkv49ioZ05QwNpY2LovEuW0C00N5NlcuMGCcvDhyRgUbOH8NyyK3g69CgCZgRThJx25XAuPMXddPo0VZQRESRUwcHA//pfZMm+/LLrK01LM/UKQSJ/4gQJdkwMPVOtbyVw7kPA1w9Nyw7iy6qFqKoiq2PjRorcsxX48uQJidSVKyTke/aQ5WqVvh6g+jKJVbcehsAw3A3chIrulbh5LwRDQ3SelBRaXDG7sxBUvqIiClbZsIHeL2dKn56wQI0DJf1OWRlVlqGh5JZJTR1fJNTQEPDP/0xjRTIz7e/vFI9qgNnzAf8Aqg0qTgP9vTTzq/6q42EAACAASURBVCJSpwuA+zeBvdkOd87fuEFJV1etogg8SaLTHz1KQrt5M1kgt2+TOPX2mqwSgMTp7/5HC04df4JXdj7C6/+wFr4BJrU3GOhZnzlDAQ2xsVRxJSZSv87169SP1dhI+wcEkEAFBwOrFjQiI+QP0IgmIDGVAi6sRMYp4qDOMDF/PvWT+PqSWKxdS0Lrqr4S85l6lVyLRiPd08mTdM9aLbAmoRU3Py7BjdtBCIxbiI0vxmPDRomCKxzk3j2yVB4/pj6wXbtGZvYYhdEIPKoGbl4CHt4FJAn90ctxU9qIaw9jUFMrQQhyqSpiNWpAspP09JBAKwORd+2igc7s9ptesEC5ACEoGqm01BQ+nJBAFc3Spc77669fp1b1t75F53EZTzqAD/8dWLwGWL+XCl56nCLGVmymQIT6m8CXh4HV24GVWx06bUMDuTxjYigCz8+PTv355+TG2rSJ8teVlwP/+39TJfO3f0t9VAAJ/U/ffIwjhV3Ysa4Ff5m/GpLcIz80RMKkRN/Nn0/9MzExZMEqufCEINGaO9eUG29eZD92zfsCC3suArNmU5h69ELrN6JCCLJuTp0id1ttLd3Xtm0Ush0cTOK6Zo1rIiT7+uid371LLrqdqq6moSEaS/Xee1SW2LlDeGXlV0iPOoPghATgqZecntDQYKABy6dOUfm3b6fr2r2XrnY5qOIyWVizZqM7dj2u965Exc1ANDTQ+42PJxdgUhKcEk9zHjwgMW1spDFsu3dT9g9mesAC5WI6O6lCLS+nCnXGDKqIdTrHc5G98w61pv/sz1zcYjz7expf8+KfAqFyFlchgItHqNJZvpEm1wsJA3a/5pCydnbS+CU/P+D118mKFIJav2fPAhtTe7EjsADX6yLw1wUbYAidjTffNLmWmpuB937ajlMfNWPJwh78zdvLEKwJxtAQPcOzZ+kaCxZQX9XgIAn43btUyc6eTS32hQvpuV+9CswIFXh26R2s7v0Q0mA/iW/KljHNnyQECdLnn1N4fEQENRwaG0mY580jq2fBAqdPPQplUO+5cybrubeXRKSigr4LoaFkMfpIAtvmXcI63+MIitCQKzbced9jezu5YO/epXvZt29kKiqrGIaAezcorVLLA0qjtGglWuesQ8WD6OGxZ35+5H5NSaF3PhYXuNFIKaq++ILEevNmWjhT+tSHBcpBenupP2PWLNPsr7YwGulHX1pKUXcAtQDT0uiHaq2l2tYG/Nu/mSbQcxmtD4Ej+VRRm4dsCwF89SHw5e8oD9x3/s6hmVsHBshyUvqSomRv4BdfUF/O2jSB3cG/xc0Td3Hhkg/CQoew/VuJiNi0AZinRXWNhPd/2YX6C3cQHAy89tdLsXhF6LAwdXWRxbRoEQn2rVt0zbAwGqOTkkKt6fPnaX8hgI2rurDZ92MEPr5Dk/tteM6pMUTWUNyV+fnU15KYSFZcUxOVc+VKshLH69oCSGQPHzb1hWk0ZN1s2kQCpUQ/lpQAs/rvY2dwARbN70PA5n1Awqox3VtVFd1fdze5MLdvd8LyaX1EQlVbAQwNAnMWQCxZi4f+y3Hthh+uX6cyBwWRS3HlSmpQONv46uqihkJFBT2X3bvt9KExXg8LlIPcuUPTQSiEhprESqMZ/X9wsOkH2NFB1kB5Of3IwsJMVpW5719pQf/3/+6ayg6A7G/7JY15efHPhiPzRlBXBfzq/wBBocDzP6IEo3ZO+f77FD326qumikIJlNDpgD0LTuHaOyfxs4o9MC5IRu73SzGrsQTo7UZpy3J8djcNQR116OgLxornUhC/LBSnT1PfT0gIBSP09pL7KyiIIsdSUijCS5Ko36uoiJ7v8mVGZMSVIPxeMSD5kAgvXetSE1QIcrNVVJDr9dEjsg4iI6mfzdeX+sWG0wyNgfZ2EvczZ+j+5s6l7OqKO1SNXk8RfJXl3VipL0TKnHuIeSYN/ht3jcla7O+nxsWlS/T93rXLyRly+3spSe2tEqCzdXhSRePiNNQ0a1BRQUKoNDKU/qroaOdeU20tWX1KH9rOnSOndWGmDixQDtLXRy3ajg6qGDo6Rv4/ODhy/4AAk2gpwjVjBlkb1dVkjUkSVXBpaVThCQH8y7+Qi+XrX3dh4e/fJOto/V7LwtPfC3zyE8A/iGZnbbhDKXYWr7F6yhMnqBLdtYsqZIA+nzhBgSI7U+7i8j/+Gsdvp6B9+Uv427+TMGsWYBwcQtF793H+aBMSek8h1vcevhIvoH7mZjzUz0RAAAmQRkMV/4IF1I+RkGByDzU0UNBCfT1V4LvWNyO+4Q9A2yNgwVJg3d7hMGxXo9dT+P/ChRS0UFRE72vnTrLibt2icu/eTRazM+c9fZoi2Hx86DuxahX1v6hn6rVUkTc3A1+cMGLg4hdY3HcW81JiEfetA/ANG1ut/fAhXffhQ3rue/Y42e8jBNBYS0JVr55UcR0GZifg1m0JFRXkYTAayfJWxMpRN7jSh3b6ND2TbdsoKwlnSp9asEC5ACGopW9JuJT/lRlmFfr7aX1rK/3AlOksHj6k1EA6nYtG7hsMJD6SBDz3Q8u+xa8+pMzXu1+nPHMnf0vRflYSs169SjPLpqZSn4UkUWXx+efkvtmq0+PK/5uHytqZaNK9hr/83wGYOZPcPG+/DVwpHUBy73F0NbZB3+6DZZoazNL4IDgpGZFPbUBUUgzmzycrSk1XFwnglSvUwn/26UGsxkn43L4ABIYA6/ZQ/roJDvW6cIEE8uWXSTQ/+ICs3W98gyygY8fovS5dSsJlK6Kzo4OE/fJl+pyWRv0rivVsaVCvte9FfT1Q8vubCKv4A4JCfDH7xZex9JmEMT0Oo5Hc0ydO0FdoyxbqA3S6D+lJB3C7DLhbPmpSxR5jCG7coEjF+nraPS6OvkPLl49+/5bQ68k1eesWCd3evSOzrjDeDQvUJDE4aFm82too8u/OHXJ/DA6SBRITQy1zjcayC3HWLPoB2618bl4CLn0GbH/V8hQVDXeAE78e2Tc1NAiceI+mttiaSZW+zP37FMQRFwd885vUYlUq7BUrAN2qIVz+/95GR30rGlZnIeNrkWhro9ZyURHQpR9EsnQOvX0SyrrXYUlyEP7qT9uwKugSfKrLKaNB9EKawG/+UsDHB4ODpn4mg4HG/GxJqEbglU8pqsxO6LirMRopy0d7O/Anf0Lv8Le/pfUHD5LVd+ECuTsNBuo72rJlpLB0dtL9lJXRZ52O9rEU7m1tUK8lhABqr7ai4deHMdTWgo74Z7D8wBYkLpHGJFRdXTQm7/p1akTt3UuWo9MYDMD9KuqrMp9UcXYs2tvJdVpRQWO/fH3JAk1JIaG31+d76xYJlV5Pv5+MjEkYP8hMOCxQHkJ7O/DXf019V3199EPz96fIqlmzaJ0ygaCCv7/tfrCZgX3w/eTfAE00kPHt0Wo20Ad8/BPqk9qbPbLfYqAfOPEudYA/8woQmwi9HnjrLeoPeu01KmtJCfUHLFlCrf6qX3yCWc1lKA97BZGrlyEggKzF6mrgSbcBccYbiAxoR9OM1Zi9cBb+6q9UfW0DfcDdy8DNi0C3HiJUg9qg9Thycw1au4KQlARkbOlBRM1x6usIi6QcdZZCxw0GcvlpomjMl4tpaqJpUFJSgJdeovf361/T3xdeICugq4tE5do1Ep4dO0jYv/qKhMlopDD1rVsd60O5c4esNfWgXmuIgQHUF36KR19dwwMsQfeql/DMrmDExY3tfqur6T23tblgqgwbkyoKX380NprESplcMimJrmtrDqvBQXL5nTtHv430dBJ+zpTuvbBAeQhffkkt7j//c/rhV1WRi6WujiokJQ9aWBi1vi25EZ88GXnOhI4iJPSfQ11yFgLmzhstZDc/RUBdGYWUz7YQWzzQB3z+DtDRgv6nvoGff7YInZ0kTrNn9ODq+Q4cLpo3PCOvuHMZG8RHeBy9GUteSUdiIpX1N78BGh8ZsSykCrrZNzEzbS3K6uPw0kvUzzIKoxEtl2/h5ocXYGioQ/CsQCzcvhpz42cAVeepXMmbaZyWeTCAYYhE7vpZci/5+VMm8rgksiBdaGWdPEnv7JvfpNZ+by8FjtTW0kDerVtNuQL/8AcS854e2nfzZtru7DTo1gb1WkQIGKpK0fjpMdyqD0P5zAOIWTHP8oSJDqCeKkMRgNTUcXhUrUyqiCVpQFgkjEb6/l+7Rlk++vvpt6FEcMZYmc3+8WMS09pa8kLs3Uv7Mt4HC5QHYDQC//qvNKbnW98aua2lhVrbV66QFaXRkLWSmEiDIdWuj8FBEgS9Huhu1GPmF/+O5tAU3Ix4cVjIhpO+drUDNVcRPD8Ws5ITh4VLo6EKdDhtTV8PjMd+gd8Vx+Ju6DZ8M1sDbUwP6vLfxuVTj3FjaB0q/DMQ0PcYO4w/x5ykBdj8f78FX38fvP028PvfA0FBAl9bfgm7Ys8i6KkM/NfxlYiPp+g/8wqmu9vUzxQSAuxMe4gVg8XwOf8R0NVKIrM7i+aFUh88NAjcKQNufAX0dFHOuiVpFF5/v4rW+fgAc7UkVguWDqc5GitDQ8BPf0rP/Uc/opa+wUBpsK5eJVfT9u3k7rt0iQad9vZSX6OS9mks2ShsDeq1SMsDDH3xPhqqe/DFk724H7DG8oSJDqIWgPnzqR9yrv1RCdaRJ1XErRLgfiV9SWMSqK9q/hLAxwdDQ+QKr6igvwYDuRytzWElBLkljx+nhltaGg2sHs+gYWbyYYHyAJQQ9gMHqHPYEoODFHZcVUUDRwcHqcN60SISq8REs8rmdCHw4Bbwwp8OR7QZjSQAHS390H/8Pjp6g9Gx4kXou/yGrTDFjRgdTS3V5GSg5EwPzv+2AvtSKqH73jMoyS9G1VeNaPBLRkroVfT5hCHI2InIBWFY9uNsXLkZinffpZQ6KSkC/+Pp41jYcwEibRfeubQBjx5Rha7ubxkaon6WM2eo8tmwAdjylBFBtReAqyeBoQFyVfZ2UdRhxDzqp4pZTFkNKs8DfU9oqvSUrTQFuyJgSgLU+1W0NN0D2puo8luTDsQnU/TiGLh/n8aCrV9PEY3K5T7/nN7pkyfknlImJgwJIcurpITEafv2sbmhLA3qtRlU0PsEOPsBButrcKNfhyOP98AIv9ETJjqIECQWx4+TVbhhA0XSjTtnXm83cKecBo73dNKA8iVpFFEqNyh6e+l3cO2aKYvI/PmwOIdVXx8970uX6Pns2EGiximTvAMWKA/gd7+jKKa/+AvHwmSHhuiHeecOLa2ttH72bFmsIh4h7vpb8Fu9GVizffQJlMwRO78HRJlSIAhBPv+qKmp91tfTWJ+HD4GnN/biaZ8PUHP2Lnq6DbgR9SqCliQhqK0aO5v/D+b6P8LjDX+MTztexuUrPvDxAV5+WeDgomPwuX0RWP0MSgeexqefmqZ4V65ZVUV9Ne3t5MrcsQOIEI+A8x+rQsf3UGU1NEjZLq6fAaqvAB0twKw55PJLzRjujzIY6Lk0NdF54+KAuMA6+Fw/Rcd3tZJbyWigpLgJq4GFyWRdOTlj7mefkeB8//vUqj93jqaOePCA+mxWrways0c2IJqa6Li6Oupn3L0bY+ofUmbqnTmTgidsuu6MRhL7ijPoDZmHU9JBXLqhgZ8fCczwhIlO0NtLFm9pKTU4du+mdzhuATAaqYF1q4QiSn18gYX/P3vvHR3nYZ15/97pBXXQe+8g2HuvIilKomRbtixHKXZsx443xSf59iT7JbvnfH9kk93EWbfYsZ3YsmzHltUlSuxFrCABkiB678BgMAAGg+kz7/fHBQiAAjslURvec3CGxGDa+857n1ue+9xy6VUlZV1/AZdrtl81NCRAv9AOq8FByfr6+m6zduSRPVT2CKA+ZpuclNmntWuFeXQvNjoq5Z7WVujqVAk1X8YQdpP/+BqKyvQUFs5pwg91ydBu2RpYufuWz3vlCnz725J1eaZUikZeoTBwjj7rCkgrIpyUR2bwKsXuQyjWGBS/h/5ABp3pz7Dv8wms0B2DqyegfC3jBbv43vcVMjOljKko4jTee08yrZQUKVXlZwfh8jFomqaOr9wjjmnG4/k8oh3YeA7GhgRg9EaItuFNX0yNbz113TZGRqZX3qsquMfB3o01aKcsZ5LyrbnkbqlEY++E6gOigOCbEomnhDQhVmSXyY8t7bbe1u+Hb31LPk9SkgQQFRVSxpuaElUIjUZKmnNlhFRVsuKDB8XR3qsaxdxNvc88I475ltbbDKdfBUVhrOIZjjQVzVuYuGrV3dPJe3tldmp4WErQe/fefX/tpjZnqSIBn0g6layEvKp5BBi7fRasZkhGc3dYaTQyLH/4sByrmbUjD3oR4yN7cPYIoD5mmxlu/cY3HowIZqCtka5XDtMat5tWjzDvQACgKC9IUfeLZCZMod3/VSEQ3MRGR0Vyqa9PIvyUgSMkDp2i1r+Wcx3ZaMM+sjPCbLW8jaawCt+y/YQ6GiibeIuqihAJhanSVyhejrr6CX7+kkJvL3zta+L8jh6V2Z95Za6hdjg/Qx1fBst2SuMcpPRTfwZaL0oWlV0mpTxbKiNtDs6/1sGVCx6CQcjON5C1LIuU5AgpI+8T4+mkYzKTBtbR4i4gGNZisUjprbxMJdfQjrb+BPS3QcADllgBJUWRrG0GrJKyPlCL8/mkx/TWW5JFbNkinzF5jrqSwyHlPrdbAKSsbN5TEAgI8eD06Vk1itWr7w4k5m7qnUvQuKm5nHDy11LqrNrMYNJmjhxVPrgw8S5Kj5GIZI7Hjgn4bt4sgdcDG569vlTxAjiHJDApWCJgFTu7lE1VBTCvXpUAwOtl3g6r+Hi55mprJXDbs0eo7I/Kfg+fPQKoj9FUVUAgNlaGc+/3uZRIGN74rniEfX+EqmhwOGZLgd1nWonY+zGVL6ZgSTxFRUKIuLH/4HDA3/zNbBN+XcIFzHXv0KouoydchH6sm45+E0vVIyi2FK7lfIXxST3Z2fAnf+gi++I/Q+0RyF8Ev/v/Udsay+uvS4YUiQgVOBgUJ7x5M5jwiKr6DHV8zRPSSwKYcgnxofWSZEt5i6ByI2psEq2tAg4dHeLMq0r9rEqoJbX9NeiuF0ZfVqnMcpWuAq2OYFA+V0PDrLaf2QylJSrlSX3ku46hHZl+Qlu6sATtPfJcJqs8X3YZ/vg8zl/UcuaMgFRZmYDE4CB89asfLB9NTQn7rr9fSphr1nzQITqdklHOqFHs3n13WnN3M9QrDwhKubf9svTyNjxD56DlgwsT73L2eWJC5uIaGwWo9+27t/LlTU1VRaC2pVoEayNhSMuHklXXSRUzFg7L+a6rE1muuTus4uPl+zOT9e3Zc2+kkUf24dkjgPoYraMDfvYziaqrqu7vuV5+GVxN7eRPnSL/6c1kLM+bH7nae/C/9TM6rBtpNW+mtVUcKggFd4YV2NkJ3/++ZFBf+AKsy6hn8D9epsVTRJ9xOTnaJppDiylwvEmp/gpD2Xs54NyHP2yQVe6Ra6wLv0xyikJikoYQBl5s3ceIpQKLRUovJSXipBNsqpTXLr77Qer45JgAU1stoEL+YqjcgN+YQG2tNL2dTon2V66E5ctULI5G2W/lGGBk0E97j564eA25JRZMlcsFpKyzA0eh0Hyw8vulB1Oa6qBcOUN+5DI6s0GyuegEGOrE39XOheYkznTm4TWlUrI0hi1PJZGWbWBqCr7zHXHsv//7H8w+gkGhmzc0yHves2fhDKW1dVaNorhYgOpO94vdzVDv9Qe01sgwtyUaNj+LakuftzAxI0MYcHc7oNvcLH22iQmZ99q5887UIe7KvFOiUtFcfQOpYhmY50/q+v0CUlevyrWnqnKMtFoBZINBMs916x7c4tFHdn/2CKA+Rnv5ZRmA/OY37/+CeP+on8ZfHWPAl4qatxiDUbmuF5efHST5wr+gqGGRO9IbUFWJHFtbxZFcvCjgZLeLk/7iF2FTSRc9P3mR9vE0BuI3UGG+yvmJ1SROXmFjai0DBc/QcH6c8gIP+/96A862Adxv/pJ2Vybno34HCxMkNb+K4uwnkluFv2ovO/aaZMeVexzOvSUL8JIyYc2TojruGoW6UzIfgyLsrcoNjPrjuHBByjKBgKg1rFkDpcURtH0NAkzjdgKmBI47N3J2cBEJiRrCw31kus+xzNZAVraCLr9c+m9JmfOOXygkTquhQZyYzwfGsIsS3VUqTLVkpXipjWzldH8lnjEPxTGdbEk5T7p1ZN6s1VVnMa+8ZWLvXsk+bzRVlR7I6dMCPp/+9MJZTjh8ezWKW9ndDPUCwnI88Wsppa7aC0XLiKjKBxYm7thxdzNFgcDs8KzJJCC1ZMmHUE6bIVU0XRAdQI1WlCpKVy044+d2CxGork6y2kBAPmMoJAHUU0894F1sj+ye7BFAfUzm8cD//t8yn7FnzwN4wosHofEs3m1focuVSkeHAI7DAQy0Y3W1k7d9MfnLU8jPl6h6ZinfoUNykdrtUqJKTYVU0zCZ137CeCCGzqQ9bEqtpXpiGTqvk33JB2hLeZo+XQUbyofYHvgRikYRKrgtHXXn79LcaeJb34Ijh8JsTznF49knySqKJnrXk+TE2tFdOypeaukOiXgnHMLM67omzqV4BWrZOtqHYjh/XhyuVis04tWrIT01ItnXtVPy2LgkuqI38fLFCrw+DVu2iHbcxIRkAm2XxykIXWBtUg0ZiT6U5EwoXSO9pRuaJOHwLFjV10N7g5eB1nGi1VGWFwzz2ed05O5YJiW/4W7obbw+a6UqGk535NPiK+NTf1JCbOrC/O2LFyW7SE4W8sTNNtpOTgqgXbkif7NzpxyDO3HwdzXUC0JAef+3MNAugcGqvaDTEwrJ+z15Ur63FRXS50pMvM3zzbHhYWHR9fQIWD7++Pw+3QO18REp/7VfnlWqKF0lLM0F+q6jowJUV6/K9dDeLiC8a5eUpW+5bfiRfaj2CKA+Jjt7VvoNNzbU78kmx+D170B+laiQzzFXRz8dv3iTDu1yOg0rr5f1tFq5MAMBiYwrKyViLymBtYvGOf8/fszQsMJF4360vgmaRnOw6r38fu4vaLdsIly4kqef0bB0KXDtNLz43yE2kdAffZcLjTYOHpQsobwcvvxlGLjaj3L8F+iGWhlS8jAtXUPF/hXkp7vR1p8UB683QPFKAoVrudISxfnz4mSjogTIV6yAKHNYelXX3odJJ8SnECjdzLsNZdTUKiQnS8n0xsHRvj5hy/V3BSg1XGZz8jmSTE4USwyUrZaS0AwhAynHXbokTrmvT46XWePBMNaDwT1AcZqT8rVJFO5ajMEWN2/WytPcyKVjTmLjFBZtz0bJlr7VjbNWra3wm99IZvH5z9962LWnR7TmBgfFwe/Zc2fDsXc91BuJCPPy6gnZCbb5syLwipTIzp6VbCgUkkxoy5Y7d+CqKhnwoUPyXOvXS0ntQ1s8eF2p4oKAlskCBUuFVLHA3JuqykhFba1kWG1tUoLdulWO3SOl9I/eHgHUx2CqCt/7ngw1fulLD+AJT/4G+lrmDeUC0th/+wcSRT7xNVS9kfZ2cVgzsjsZGULSaG+Xstmn9nno//FP8E+4UZbvpExXw0+vbKF7Mo295l9xebSYHssaKhYbWLwYilLHKOp9iUSlH6dToXakiDOmL+AY1xMVJeXLxLggXDlOuO40w21juCY1DPsScBNPLCMkpBqJXb0a4+I1XKq3UFMjjjU9Xcp45eWgU0ISEV97X8qDCemwaBNd4RJee11hYkIc3pYtNy+XqqqUMw8dglGHyuLEFramniPO2ymRdcESQoWrudSWeH1hYl6eOKjsbPHdXV3QcNFN48kepgZG0GvDFFVFU76zmOJlsVKCU1UuHbFT93YjO0sbyTAPyxuwpc0yAqdnrYaGRArK55NS3K1WdEQi4jyPHBFm2ooVQmK4nRrFXQ/1gogIv/+KHLQNz8wTGp67MFFRxHlv2HDn/aWpKTkHly9LJv/44x/y4kFVlfGK5gtSBlRV+Twlq4RccZN0dGxMstzWViFPbN0q5IpHbL+Pzh4B1MdgPT2yduKpp6R5fF9m74V3fwxVm2HJ1vn31R6Rfs72L+C1FXLqlNCAFUXov2vXSmnv29+WEkxqQoD4Sz8jNjLEcO4T5EX1cG6gnAlzDnsTD9DvjCJ22VI2Px7H6Ci01k0xfPYKfj/0GxdjDTnYZnmT+LIc3vc/zo5dGjYUdMC5N2ep45klcO5NIhcP4vVAi+0JfuX6Eu29ZlwuySbXrxenlZUFSjgoTfz609IET8qEqs0Ekwo5ekzh3DlxHk8/fedr18NhyY6OHxeQXlk4zIak87Sct3OqKQuXLo2cpals3Z9Ebt7C3igSge5GFw3vtdB4cRy3V4cuMYmitVmUr4yhsFCo5U4n/PHvOrE4miRLHJneKxGbeB2sXLo0fvFLBbtdPvftSnFe76wahckkBIY7UaO4q6FekHN24tcyLL1oEyzeMu9FZhYmXrkivbH16yWguNM+WVeXlP1GRiQI2b37Iyinzaz/aL0ks28xCZJRFSxZUKdxpgx+5IgEEykpEhQUFz8Cqo/CHgHUR2CqKiWRQEBKG6+/LhTc3/1duW/m9ze71euFdpyYOPtjtYKCCu/+BNxjsil3rmr36AAc+BGh7CVc0D3JqVMSpS9ZIpFgTIw46p/9TEBqy+YwF//+V8S42/BX7qS3O8ThllJcJLLKdgWLOkHa0lxe+ItccnNB8U7if+MnXL0S4aXhF7D7EkTPLzJMzelJMtIifGl/PyVcICFtWgR0sF16NiYrwdwV1NX4OX82xGAwHU9CKeY4C6oqGVCMNURFbAsVkZNkmIdQUnMEhFPzGBhUeOUVKf+tXCl9mXsZtvT5hITw2mui6JAUH2B9fgc7U06SGz2AEp8shIq8RbecGYtMuek9WkPD+wM09NqYNGSgS88mMTuaujohN3zuc9N/POWSKH5GGcYsAAAAIABJREFUcikSAWssgbQy3qkr48pAFus2aNix4/YOcHhYyn5dXVLu27v39nTuux7qDYeE4ddaI/p4Gz4lpbI5ZrfLXFtTk5RjN20SkL2TktjM4sETJwT7tm2TjOxDVyAPh+QcNF2QoEGnl8Hf0lUyCHyDzQxVHz0qQUdWlhBGHu2e+nDtEUDdozU1SeR3O3CZ+feMSGsoJBdkaqpEYTeaTielP4Nh9jYQkH7R3K29RiMkMkDi4EkS1iwjcUkxiYlCR9YpYdS3f0hdq4Wj6ucZd+spKpILaiZqVlURNa2thSWLVep/9Aa5oVoqP7OS0OAAPz63nn5NCcn6YQz2FmKSLegrVqLRKlgMAaLajmJw9WPP2c3SHRls2SJA+oN/UTn/Zidl3mP4ddEk5CRQbmsn2zpAfEYMStUmanszuXQxgteUSop+kDW6g1RmDqNfvRN/agUthxu4dqKftj4rYUsCcUVZVK6zUVoqQqHvvy+O8H6YVuGwRP4nT0pkPDkpDjUjA7ZsDLEi8RralnMyEGqyQNEKibQtt5B58HlQG87Re7qRhu5YGjzlXHGW0DNs5YknxPmWlMwpyfk80N8ijnKgHTUUoqnbSq2jlLiqMnZ+IQ+96dZeXlWFzPHee7NqFDt23DoTueuhXpilopussPnZBZlxvb1SSuzulqx227Y7J3TMLaelpsITT8xX3fhQbXRQyn+ddQJcKTkiVHsTAs3ly5I5Tk5KSXb7dhlmf2QP3h4B1D3ar34lIKXRzAeTubcL/a61VQDq+ecl2r3x/ptFjqoqDsjhkJ9RexjHocM4pqJwRaanC7U6FJ2O8LiDvs4gAVse2cVR7H4Mlq7SE2UzCduO2Q24qanQ/doRFimnWPNcJaPdLn5yZhWDulIS4/ykT9WydYWTLX+xh3G3nhOHA1x+8QSDQwoTycvJKosnO1t6G/jcnH2lk1051WxOPstUTz/jkSQGLEs4Nr6dSyPlBIYGSVPbWZQzwpbVbkqfWCmMulO/FUZe0A8peZBbga9oE03OrOt04Pr62YWFv/d7t84WwmHJkHw+KYn5fOJEzGZha504IU4xI0OcdEGBANXBg8J+tNlg5w6V0vhulKaz0uNTNEJdLlsjkkg3s4APms6jNpyju9/AP5zYQ38gi8oVVgwGIaVUVAhYXe/bBPww0Iba00jPmRY6WwNY400s2l2MqbgM0gpuudfqRjWKTZuk3HazftxdD/WCOPIT/yHK8Ct3C/vyBvRRVelnHj48WxLbsUMc+e2AakaX8cABISl85Arkfq/M3bVUS3nTEi3LMIuWfyAwCQalxHrqlHy/KioEkB+EGswjm7VHAHWP5vcLmOh0d16LVlVZcqcoIh56X9ZwVtQXdvwOgctnGR3y09xt4VB1Eq3tWlS9idRUDbYo7/X3Z9SHSYwP4gubqe1Ow2gCdbCDLTGH2bInmp4hEz+5tIUBbRnRsQrF+jqeXlpP1dc/jd0bz8EDQaLOv0SatofkZz+LpbiEzk7oaIvQeq6fMyf8FJqa+dyyS6SnhrFqPfRNxFKjfZxeXSXhzgaKlKtYk6yMGEvJcZ0gWTNAlDVCTLyONH0/Wr8LMopg++8QzijF4xHH+957AihxceIQgkEpc6ani2qDXj8LRF7vB5c7qqqUnbq6pESTni6EiqKi+edPVSWIOHRIMuTsbKEbZ8Y4ZZFie+2CW38XtIAfWi/Se6KOHx8soaBYQ+qyYhqGUhkbV9BoBNjLy6XUdl2FOxyi7VQHNa81kh5pZlm5B0vMne21cjoFZJuabq9GceNQ73PP3cHiRL9XyBP9rTI8vWbfguXPG0tiOTkCNneiKOH3S4/t/Hk5Jo89dueZ2AMxVZX5vKYL8jk1GjnuJasgOXveG/H55BiePXtvzMZHdmt7BFAfoQ0MwA9/KI3wlSvv44n8Xnj1nyExE3Z8AZdLLujLNRGMXRfYlN/Cqi9vQ6sFl8OHYyiIwx5mdCRMe5eWA6dt2EcN2PztPJXwCjFJZi6PlVNjL8ZNPHHWAKsTr/BCwW/JrEzl2OBqLvVksISjLEtuIW3DMrQ5xVL6mhZvPXJci2vUR2lRhAHyeXtoF9dG8wmMjZOjbWFv7llWLXKjXbGD8bQ1DPf4aD3dge9qDYnua5h0AeymchwJK6nQnidRM0iPfilvDO5m1GUkMVFKojMlz5ERKXu63bM9uvx8idQTEyVTMpkkK+3tnR3wzcyUjOl2Te4ZxtyxY/IaFRWSCcRb52/9JToeSlcLfdlwk10ToSDv/Kid6mNO/mDNOTJLYhhM3krDWD4NjQpOp/jA3NxZsIqKEnr7L38RIdrTzdMrGknxNQlR5A72WrW1SSZyJ2oUM8oVL7xwZ5t9ZdfGSbhyXIR1Nz8rZIMFLByW43j8uBzHkhLJNO5kYeLgoGgc9vfLuX388Y8hQ3E5JaNqq72lUO3UlJSLL168N2bjI1vYHgHUR2hvvinlpW9+8z7LFtXvioPc90ecbUrm6FFxqKuT6tioex3zrk+J87rB3G6RMaquBmWki2eiX6RqfTzHmwv5bXUp/b50NFqFisQunk95kZbIMo7YN6PXBFgbe4ayqCZis1OxJEZhDE8S6u9CO9RK0O2h153CpCGDpshKGify8Qb16HUqecZWVnOASb+R48H9OE2FxOvHiWOEeKuX2NRoDOmZxPo6SBk9S8TjoU8tYsJnJt1/DdUSi3H706zYm0NUlBy3GfDR6WQQt6FBVAH6++VzZmYKoCiKsPVGRsQhbtly96sg/H4ph545I8d41Sopn5mNEehtElV1e48IlxYuFbCK/qCgm98P3/tOGIOrj69UvobOOwa2NNRFmxg2lNLQqFBfL4CiKJJxlJdLCfaNN6ZXyT+pUpU+Z6/VpFP+OClrlr4+Z74nHJYs5Pjx26tRRCL3QEzob5PB3kgE1j8N2TdnXAQC8l5On5ZjUVUl5+N22neRiJzDw4clQ9m4URz/Ry5FFApKj2pGqNZgmhWqnQPONzIb162TUut978n6T2qPAOojskAA/tf/Eqezf/99PJHLKYKwBYth7ZNcviw1/+3LR4h7/1/ESW369IKv/93vCq1XP2Xn91J/zJJVRs52F/Pr86X0+XOwxOhZUTrG4+q/0GDP5OWx59HpFGIjQwQnp/CbksAai+KfInqimQylnRiTh86pHDpDpVgTo4mJClGaM0VljoNK77vYXA2ErYk4PVaGO8ax+2wMBjKY0tjQRsUQHR0hO2GCLNsEmbGjmPpqcbV1Uze1BLuSRbJpDKM2SLdpBZ7s1aRl6EhN06K3GAgpRkIaEyEMhFQt4+PSP7pyRY7JzAbiykrp+W1bYDXWndrkpGRTtbXibDZtmrOWwtEvAUPXNckuskql/HdDOailRWaetmwMsyW3TkYAXKMyE7VoE2p2BXaHhoYGAd2REXl4aqpkU6GQZEKbNk0zOMfts2A1dvNZq/tRo7ituceFij46AJUbYMm2WyKd1ysl2/Pn5VCtWCGgc7uFiZOTUrqsq5Ms6vHH714b8IGYqgrrr7kauhtEqDa9QMp/GUXXP/vIiJQ3GxulTLlxo3zWRxp/d2cPBKAURfkygKqqP7zJfc6Z/6uq+vLd3D9jn3SAqqmRSPiLX7zzeZ0F7cSvpT7+1DeuN267OyP0/OZtvBM+vIufwKea5vVjvF5RiairAzMu/ij7X8nOCvPe4GZOt+YwGkokOlZHRbGffXwfn1flVMxXKK40k6/WEj1ylUhWOf7kUvQX30DTc41Rfyy1oc2cHqxieNxKUrJCSoo4QLNmimxPNQnaYYIJeXiIwTTVj3FyABUNofzlTFrzcIxEGHdGGBsDa2CI5ZEDxEUGcEZSMMeaWBp7FU04gDegJegP0+PN4rh7D2NqIjGmAAlRHpJj3MRbfej0Gka90XQ6bLgDJoxGiI+NEFT1TPkNJCWpbFoXYstmlbRso5Qn9ca79tLDw9KzaWuT6H/79tlsjSmXlINaLs7f+ptbeZ0N9tvfCvh85SuQnBgR1fW6UwI2MQni5POqQKtlZGRWbmloSIaMvV6ZN/rDP7yhZOdySkZ3k1krbGn09im8887dq1Hc1sIhyepbLsom442f/oBQ643mcklJrKZGnPbMXN7tKgvt7RJkOZ0yNPvYY3e/DfiBmdct81Qtl6T0GhU3K1Q7TcXv75cZqo4OKZ9u2QKLF38ENPr/S+y+AEpRlB3ATiAfqFZV9e9vuP8vgcOqqtZM//9/Aj9QVbXjTu6fa590gPrRj6S08bWv3Ufkau+RuaclW2UmaNqO/Pgap95yoC8ow5SWcr0ENnM7I6tkwMeflvwraxeN83cHd/J+ez5jYRux8TqyMiJsibxEuraLa5lfxJqdTq77FPnjRxi0LMbrU8iyH2TSo6c6sIUr6iZGAwlMTso6hsWLJUszjrYRNXCJca+ZnmAeE5M6NBoVTXQc2vgEov19xEUGiS/NwVacRUJsgOyxE7jOn6V/xMQV/WN4UqowGBWsTLDSeIISXS2JpnFiDFN4tDbarZu47F7GwKCCGgzhmQqTFjeFywUJFjdbyrupSBlAE/Ki+rzYXVau9SVzsSsdb0BPRYadrWVdJMb6wGAWiSOjRW4Nc/4993cmy+ytVkd7u0T0w8PCBNy1a85MzMzW36ZzIrFjjpIIu2g5UxEr3/2uZAF/8AfT3wVVFXC5elKGYqPiBKgKloiyO8LcrK+XGbqaGskMH3tMjnt5+Q2K5TeZtSK7jEhmGbV9WRw5prmuRrF16wPqlbRfFgFgo0VWnCTfPhIbHZXM9No1eQ8bN0p/9laZRigkWdipU9J/3L5dCDAfm9MPh6e3/14QxQqtToKSkpXX6fgdHQJU/f33vsbkP6M9qAzqLwEWAKhLqqoun/P/HcBOVVX/nzu5f659kgFqeFh6P489JlHiPZmqimLE1IRkTzMN2gkHwdd+iJJZiG7bZ+Z941VVxEK//31Q1CB/XvFTtlb2UT+azV/9ait9/gziE2VNxirDMTbEniBqxxNoS5dj7btAdN3rKERgpJf2biPV/o10Jz6GMS2NsjKJ6OPiZP+RXhMSVuGV4+D3yHZak5VA7gpGU9cz6o0Wirw9zOi5Szh6JolJNJI+eRHPyDit6jKCVTtZvtZMQoI4IZdLHNhEr4PcsaOkeS6TruvGEmfGsHgNXbnP8tp7MbS0yHHdskWi6nmOKhKR5rbfg2/Cy9mzKmcv6Aj6wywpcLK5cpA4g0syHr9HbgNeAZmbmU4PRgsRvZmr/ekcvZaNy2+htDDAzk1eElIMAmx6E4wPC1jZe+Rx+VW06degT0r+4JCnqgprrO6k7DuyREPFeqE5z2HKnTghA9Yej4CiySSsxIoKAat5fZ0bZq1m9lr5U0o5N1DGyZY8DCYt27Y9ICfvHBIq+tQELH9MBl/vwAsPDk6L+k4vTNy69faZxuioZFMdHRIk7Nv3EMwjjdkli+64ImzPxAwJTnIrUDU6mpqk9DcyIudsZo3JI6Ba2D40gFIUJR84pKpqwZzfLQP+VVXV5be7/8bX+CQD1IEDwu755jfvI1LtvAanXhYx2MJpfaRIBN77N3A54Mmvz2NzhcPw85+LpFIkHOFPFv+KHcVNNDuz+Lu3N9DgzCcuycjatbC5sIVd2l9gXbwU1j4p/ZTXv4O3o5OaoXyqPRsYz9pEXFUJK1dp0OnESfp80/NItnE48CN5nMEEGcVCFqhYtyDDDJeT0E/+huGLTVwJreVK2pfIXpFDJCKZwsTE7J8qitTwVRVc/aOkOM5gttfT64iiP5KPrnARG/ZnsnOXQlLSrS/0UEgYfVFRkoVUV9+iDxIKzgctv0eAa/rfk2NBGlv1EPCRET1KW4+J0w0phMIaVuQNsLm0C6txDsj5PTAxIoAxs7NoyVahjt/4plVVVkbUnZSI3GSVY1m04jpTsKtrVhFi8WJxeDMkkbQ0Aary8htYb9OzVvQ0CmgFA0wGTFQPFtMwWYYht4DHHjfcvzpCwCcr5XubRYVjzRO3nOGaa52d0i+byTS2b781sUVVpXT93nsC2KtXC7h97KSEgA/arwhYTTgk8y5cBsUriFji5q0xycuTz5mZefun/c9mHyZA7QD+5w0ZUj7Qrqqqcrv7b3yNnJwcNWnOmtIvf/nLfPnLX77te/u4LRiUtRqFhbL7554sHBK1coMJ9n55NqycmYXa8IwomU+bzycR9q9/DQG/ypcWvcUTxdW0OtP4q9/uosmZRWKKgf374dm9Y5R1/AAlKh42fYbIqVfo++0bXOlI4OrkEoJRKeQWaFldMkJCro132lbQ5U4nq9DCvn2QYj8Fb35PSll5i2QupnTNwj2ISASaq3EeO0pzfYCQx0dGrpHs3/ksuvxZ1uGMcsboqABWW5uUKRsapGwZnPJidPezzfImi2Ou0mdeyaX4F4hLi6K8XLKo4mLRnANhVl26JKA0NSXtoOJiiVz7+4VZqdWKc1u//ubiq17vLGOwq0uc44xZrZCaojJqDzLYHyLWEmTjchdryp3o1Wlg805CT5Os53D0S1aUkiuloNI1Ilx6oyMf7hagGmiXrKxsjYC/wfSBVfJpaVwnWPT1ycNTU2fBat56jHAIBjugpxG1t5mRPg8tHXoGlULiqspY/UwxMYn3QTVVVRH2vXwUYpNgy2dvSkVf6KFzM42MDKH45+Xd/DFer2Rgly7Jed+9+yEpoc0EG03TQrUgs3MlKwkl5XOpRuHkSflelpZK6e9DW0PyCbQPE6A+DXxFVdWdc34XB4xNA9Qt77/xNT6pGdTVq/DKK6K7d6sL7JZWfwYuHYSdL4gTA2mKv/V9aUpvfe76lTg2Bi++KP0Rtxs+U3qK50oP0zRg4w9f+hz9kwnYEnVs2CCLDFc4fkx0aJiJ2FI83b2cvRpD/XgRU5pE8iqi2fRMFhVZIzRfdHLtchBTxMXOig5WFw5gHr6CdrhL1jJsew5MUbLfaaF5oNFBQqffpOviAFdHC3Hk72XP01ayml8UhYKtz0HGfCnvmf7E+++Lw42KElBZvBiSk1TGmrtRzr5K1GAtzpCNE9ovcNW3glBIIugVKyRA8HqlFFlRIeDV1yfnZWpKMtqcHGGJ9fYKOM1Qg2dmrpqaBJTa2yUzTUiQ56mc5j50dUnk39UlZUmPR2beZhYr7t8vwKfRIA5rfAT6mmSlRfsVoYtrNBCTOK1UsRbyKmXGaMbDjvSJ0kZvs5A7SldD2RqmwpYFV8lPTAiDrL5ePheI4ysvl+MwbyV9JALD3QQ7Guk61cRgm8xaVT2WR9yiMmElLpQJ34kNdkjmHw7D+v0Ljj/czCIRYR4ePy7Xzp2wX/v6ZHZqaEgGlPfufYjWuE9NCJGk9ZJk0rGJsl4mazHnakycPi3fmaoqyQJvuQn5P4k9AqgP2f7t38T5feMb9xjN+Tzw2v+RWZftz8vvVBUO/rtQi5/42vUVGz090nOqqZHMY1vuFb6Q9wpvn8/gvx39PP6ImbwCLX/8x7B0iUpS3c/RXz3EpfElnO3I4UpnAiM+G/kZHnS5ZTh8sbhckoHo9eJsq7LsxNovUu56kzh1CLu+mAFDJUZtEHOUFvPKTZjy8jCbxdmbdX4S+46haTlPS4+Vq8bd5G2pYM9eRRhbAR8c/KmUv7Y9D2l5TExICfH4cdF1s1pnpWSWLr2hgR6JQO0RQm/8EJ9jgiHbGl4Nf40TV1PR6aQElpwsUXh+vvxUVYnTam8XXbXmZvGfZvMs8zEUkr8Jh+UlYmMFkCorJStZ6FyqqrDLZgCrpkbKT5OTAgjbtwuA5OXNGYgN+AR0Gs8KG8w5ICrblhgZxC6e1gBMK5AykXNIMqqeRmnGF68kWLyOV9+NoqFBqO+7d8/v3bhcAlYNDfIdUVV5PzOZVfIcHERVGW/vp+1oI8sSG9G4bz1rdUc2NSErYUb6oHwdLNtxV82uUEgCjdutFZmxSERo7MeOyWedWeP+0OxzCoegq17KfyN9kjXnVeHJWsXphuTrFPzly+W9f2wsxYfAPjElvk8iQDkc8J3vSHliw4Z7fJILB4Qd9MTXrs+10HRBhDvn9KPq6kSVe3BQHFG2oYNn43/G+y1ZfK/xOXRGHc8+Z+Af/gGiIw5GX/4lF97po3ZqBc6Qjb6uIGmmYb7x/BD5X/8Sbk0Cb78tQOF2q8TqXOjH+7BNNbLBcpi4JAOezFVMjrjxjk3hjZjxGRLxqla8hiS8phTiNKMUeo7hHXVzYXw5dbodFJSZrke015mG2gDmtlOszGyjK+MZDl9MorNTspvy8lmW1q32PPW2eRn7+Q+IbnybsKplpORpbE9+hrzFNgYHpZHe0SGZxnPPzRfq9XolozpyRG77+yULMhjk9Z95Rpz+3To4VZUS1eHD0iMZGJDyU0GB9Bvy8uQnN3e6HKmqwuJrq5UB4L7m6WFcjZTHssskc8ouB50BGk7L8KhGi1q4jMP2zZy+ZKWwUBxbVtYHgXRychasurvlJRMSZgkWKSnzwYrxkdmNwc4h+f0Cs1a3tfA0iaa5WmSiNn3m3rOyO7SJCVHIaGwUQN637yFUHx8dkOu565oco9RcXGmrOdlRTM0VLTqdBDXr1n2EmoQPkT0iSdyvBfzSAF9APeDgQZk/+vM/v8coyDUqQ7mFy6S3AyJi+db3ISkbtj+PisLx41LWGBmRGnycOswX035I30Q8/9L6PFGxBv7r31r4vf12Og9e4tyhMVqbQ2ijY4iK1jDQ5iInepDPfzGW+Gd/h4vXLBw5AsGAyobSATZaD6LYuxnu8eB2TNHrSuTS5Ap8RJFbaqF0WxGlK+OJCQ2KqGr7Fag7iW/ESedEChd0T6FbtJZFWzOJKLp581k+nziSutoAnuZmRsb0GDKzKV9qYedOAaabbVz1+wVQqqtl5YPJBOuym1nZ98+YHc0S9W94BhZvvT4z5vMJ0Ol008DWK+De0CAlv3BYXs/nkxJpX588b2mp7Jy61wHXUEi+CwcOCKszLk5AaebySkwUoJoBLKsV8E7J8Ww+L2riY0PSx7LECkgULZeS79iQkB9QuBjYzLudKwlpzURHz5b0FgIrt1vKlw0NkvGpqsxWzWRWaWk3POYOZq1ue3A6rsp+MINpmop+B+J892ktLaKUPj4uGfjOnQ+hBJHPIzqPzdUy/GyJZjR5Dcd6l3Gt1YzZLEHuqlUf4gbih9A+bJp5+w0AtAP4jKqqX7mT++faQwtQ7VeEsRSbKJPk6YWQkkMYHf/4jyKO+dnP3uNzH/8P2aG0/79ItKmqcOhnMDqA+sTX6BmN5Uc/Eget1UrJyhSe4E8Lv0/vkJGfdj9HdKKJ//aXXrKDdZw/E8LhtmAN2lmR0oTXmMyFS3ry4od59uvZdOY9x9/9vZbBQZUVxU6+vvpdMmmV+R/fFIz0QCSMmpTLQNRyGnUbaRpIwOGQt5uRHmFl9HkK3McYG/ZRO5iHxmhkTU4nSfFBIQWkFYjYaUYRfm00585JlNvcDDoClOsvsauinZVf3Yk+eWHBtuFh+cxXr0rNPj1d+k2VldMyPgG/nJNzb4hDz6mUslLFelS9iaGhWXX0iQm54IuLpa9UWCjgNbM9t7ZW5m1aW+V35eWynn3ZsnsDKo9HBlQvXJAqV1mZgFNfn2Q0MyK3ycmzYJWbOy2tNNIrkfaVE7LKfGxItOFiEmWRo8EM7nH8RhstuvU0RFbS2h9DKCTU7RngWQispqbmg1UkIiXOmcekp9/wGM/kLFjdMGtFdpkEBzcr440Ny3d7ahyW7RTix4fMZggE5LifOSP9yV27RNj1YydR3GiRiIwaNFdL0KHRMGRdypHBtbQOJxAdo7B5swDtQ1Oy/BDtwwaovwQ6ZtQhFEX5AVLW67iT++faQwtQUxPTtN02uVDDIdDp6Q3nc+ByIdtfKKJg8Zyavc8Dh38GORXCvLPeRJ1zuFso5Eu2QdUmANTmi/QfOElDzD4uO4qvryVfulQuPLfTw1+U/5CxIS/fbn6B9KQgf/HpOhrazPgiJtJLElitP0jp5AHecz1JTWM0y5Ob2fH1Ffy09Sl+8xswqW7WZTQSmPRgitKzfnWAVaHXMNmbIDkHKjfC0m3z9gE5HNB+vp/gqTfxDgxxdbSYc5G9lCyP44UXoCg/hDLcJSWrvhaCE5NUd2bwTstSGh1ZKJYoypeYeGy3wsrSMQzH/g1ibLDr966/RigkzrO6WrIenU4AaeXKW+wN6mmSmZzeJnxY6VcLqQ1tpCG8CkWvp6BAQKmk5NarJvx+IUm8/bYcZ59Pelmf/rSUb+9lWeLoqJQUGxokk9q6VXpjQ0OzhIueHum9KKjkxQ5SGt1CtqaVRPrRqT5hBiZlyndv3C5gbLSI/I5WB7FJ+AvX02J7gvq+RNramAdWFRVSarzRSXs8EjA0NEjQM9ODm3lMRsYNj7nJrBVZpQJWqXkf9KYBH5x+TUAutwLWPHlzsd0HaHa7VBt6eiR43LfvIWbNuUYFqNovQ8BHd7CAI8Mb6fFmYUvSsnXrR6zy/jHY/SpJLAM+C8wQqF8G/mNGGWL6b/4SqEHUJpwLSB3d8v4Ze2gBaq6FgkIpHWij+rVWQuNjrFkNSnySZFYZRRLlVh+QwU2A1FyRtskpn12hoKoyV+SZRH3qG/QN6WmomaLh5bNMkIQvo4r+foWYGNi8Gf7xH8FpD/DXq3+Kr7efHzc/TVlSP//vs9VkFEZzwLGHFRujyar+JwKNl3l78jPUdcSyK/MM0U89xz8dWEN7vZfFyW381a73SMkyM5S4gYaDLSiXDxNQDShVm1nxwjpsJTcMawR8cPkoanM1fY4oXuvfQ5OnjPQMhVBQJWnqGtq4eDKXZFJUBM5RlQOvTnGtxkfE46YsoZc9Va2sqnRhzM2nM1zBlc54nnzGiMZqZWxMZshqa8VxJiRItrRkyfymeSTywf1Pdjs0X3aju/gmNsclDJGY9xBSAAAgAElEQVRJwuZ4lLgkJnK3oBQtJSVVQ3Ky9F5iY29/sTscIld04ICUjJKSpD+1bZtkOnfrLHp7pT/V1yeOctcu6VEpQT/hvnacda24mlqZtLuZcCmM6zJxmovQ5xWTUpJCXr5CdkYIg7NrekPseQmUxu2SoQSDUt4sWUVg2T5atGu41mK6Y7DyeueDVTh8m2xsgVkrDCbJmrNv2GulqtBwBmoOSwVi07N33tO6D1NVIcccPCjBx7p10rO7l0DjI7Fg4LpQreocps2ZxhH7BobIJzXHzLZtH1wb83+LPRKL/RBsbAz++VsqO1ePsj6vTVL2oS6JbPUGiSjjUmTwc7BDIiWtTlYn5FWh+r30vXmU+tj9NIzn45pQ0XZfoSCqi5jNO6hpjEJVxaG+9BK4xkL87dbfEG6q5vWOjRQl2vny5yfIe2Kj9K8az8L7r+BuaeeIazf1PTYeyzpDTfaf8urJFBS3ky+squazu+xoFq2X3sc7P4ThbtxJFZxM+Qtq+nMJh8WRrV8PaamqiGVefBffuJszo6s4PbWN3CIjTz4pq98D77+Ds6mbltASft2/n/p6cfAmk2QLn/88bFjhwehopaemVzTLBqIwG4OsXBqicbKY5tF0QoqZtLRZ9pvfPx+IvF75naoKKM2s43C55HzERKusSqhlveFdYnQTYDSjU1SckUSa9RsJaKIAFaNBJcGmkpAgt4kJKjabismgAur0WmQVVJVgQOXUKZWTJ1TswyoxMSpFhSqLq1SKCyPExMjfXf9hgf9HIqCqqKpKT3eE+gsTaMf6yTT3kx9vx2wMS1k0PhXiUwnHpuJwGRmxy2uOOVUiERWNomKLV0lKjJCcGMFmnkQ3MQT2bvnejQ0JWGm0krFnlhBKKcTuT2RgLAb7CKgRFbNJJS1VJTVVJS5WRVEjs+/VYMKXvpiW8FLqO6y0twvARUdLmXKmzzWvqjdn1oq+Zsm0dAvstRrqEir66sfvioZ+v+bxiK5iba30BPfuXXjL9UNjqiqBbXM1ancD13oSOTawEqcxn+zyeLbv1Dx8JJD7tEcA9SHY0aPSt/jTP51DJw4GrmdX9LdKIxQkcoy2oQb8jHcNM9rvYaDBTq9SiqPkGZIrsiiPbqZk+GWuxT3NG1crGBsT0sXZszAxHuGbS3+BtekQ7w5uJCUhxOf+axXlz6wCFDj7OjSeZ6TdQXV/Po3DqZTG9fCu/3M0dlkpThziz55tpWhnFURCcP5tqD8tQLrteRH+1GiYnBTqbnU1KFNjbDC8Q0VcK25DGq8PP8GELl3q+uU+QpeOEWmsJoCJi9rHefNqOXV1CuPjAk5RUfKjKNL/cbkEZDRKhAS9E53XgcYzQax2nOKEQTJSg3hj85iILiYQm4nZopmnNTg5KZTu+noJDsrLpWxXVSUzU6mpAljN1U5CJ19lY0kP5iQbqCoh1zhTUzDllj6Me/rfodDs+TQawRolxIUoq9xaLOKMQ2EpFzU3g2tCKlmxcZLppaZCctJ89qG4ew0ajQJqRErEk6PgcqL6vbhcMDQZzaQmieiMJHIq4zGZtXKwFEXO6fS/Q2GFsXENo04Fx6jC+IRCRFVQNArx8QqJSQqJcSHidaNonX1SKnL0S5ajN0j/KjGdUGIe9nA6Xa5U+h0WIhEFs0UhK0shK0chIUFBmRyVsrNGA5kl+LOX0zKZT0OThtZWOV5RUQJW5eXClvuA5NRw9zQjcO5eq7zZMuAdDvI+aOvuniUZlZWJiO5Dv3DQMwmtlwg31VDbFMWJzlImLbkUrUxh+x7jgxEBfgjsEUA9YItE4J/+SZzT88/f5I9UFSYcqP1tjF5txdnUjcMexhvQEfb5SYp0kl5sIyHHhs5qIdLXxtHJXfy6/1NMuhXy86GvV2W4ZYQnbK+Q4TzJoeHNBBML+KNvr2PpGosA4olfo/Y209kepqMlQP14AaGAyoXJtQQVEztWOvidrycRbQnI0GjXNVTnEJHMMjzbvoo3Jvd6luLzgXcqjKbpLP7qEwwMKhy0b6PGs4rMLA0rV6ikey+TPXoYXdhDTXAzhwfW0TtkIBAQh11cLOWrqCjJdOrqpLQVDEp5JTpaWGRVVZKlVWSNEuNqwTTagn6sGy0RmQVKL2Iipph3Lhdw5KSJ9nY5rNnZose3e7ccf7tdekfXrglwabVQWBBhd9YZ4ruPzSozJOfMAoCioKoK7imFEYc4fvuIwohDg2NUIRwRkFA0CrYEhaQkhaQUhehohc5uDTU1CkPDCnqDQmycgsWqkJujEGdTCAYVBtomWZ7WyuqMVhjqkPOk1YmDniaPeLVxnDolAYFGIzqD69ffXr7H7xewnOlhDQ7KV02nk+wmL1clN7qfjJ430F4+LKQXRZEB67hkiEkgmFZGr1LGNWcBV4eyCUW01/tPi3JGSXPXoHRcFtKMNRaKlhHIWkpLfwwNDUImmdl2PANWubk3gJWqClDe4V6rj8LCYQn4TpyQt7J1qyiLPPSq4+Ew9DYRrK/mwtkw77fl4rVmULkhma1P2j7xK+gfAdQDtuZmGZb93OeEmnyjRSLSd6ivl/mMyUkwavxUJXdSYa0ns+Hf0ZkNkFUGkTDh9jquNuhp9JQzFZVH0qpK7GNGTh4NUGhsojRwgoP27YynruK//58MqlZZUL1ThA6+RGBoiIstNrxN9dQMFzPkTaQtUE5siolVm2Ioy54gof8E2skhDG47QVVPj2kl12yfJqidL1UU4++lxPkm1qCdXqWMN4b2MDwZg9EIOVEDbDa/Q2liHxOxZbw3upur7bHXyQT79kmvLD5eBllnFrqNjYnzVBTJXoxGyUwsFqE4l5bKT3IyKEEf/q526g60MFDdytiQh3BEgyc6h6SlxazcX0ze4gSczllQGhnh+lr1ykp5rut9K+eQrC4ft8sg7LKdt9WLC4eF3GC3C5Nw5nZ8fP7fORwSlc9khTGBAbI0LRQYWyhLHaKoELLLYq8DEql5C65NHx8XIkVdnTj8LVuEPXin7C2fT95HZ6f8DE+vjNLrITcrRIVyllz7W8ROdaD4p0TclgigQFQ8wZhUBvSVNLkKuTpayJTGRmwsVJSFqYpvIsVVgzLYLicwowiKlhNIKqKtQ3ZatbRIudVikWNfXi7nYt77f5CzVg/AxsaEkt7aKpTuvXs/spe+fxsbxnf1EmcOOjnbnEbYHMfSTTY2fzqLmPhP5iKqRwD1gG1GdubP/mz2QoyEVRyv/oYmdwnVI5VMTskAXlGRXLTFxdPR8YV3hLWz+VmYHGPk6HHef7UXT8hEXuoUFRl27H1efty0H68mjkX6s5wYXsdg1BK2fiqLmBQrEdcYJb0vgneKC4PFFI+/TdtkDs3eCka0eegyclhROs5a42FiI0NgNGPGjc6gZSJnM1MFm+eV0MwaL7Edh7H0XUK1xvJ+YC9nekpITYWn93pI6juC/UwN55pS+FXXPpodGRhNCkuWyNzQxo3ioJxOiU5PnxZHaTBIlpObO0sR1+sFAJqa5KevT0BhYmK+GGpMVISdS/vZvaiFInMLE/0T1PcncW00j8FwNkpMAtllsVRWaSgvn54pWsjCIag9IkOx0TbZCpt094qdXq8A4pUrEnT0dfgwj7UR624lU2kl2uAhJlZDMC6LXrUIV1QxSUVJrFuvsHTpAjM5Xrcw9GITQVHo75eGfne3UNJ37rz9yvqFzOORzGpG6WJkBBQ1TFbwCouVkyRr+oiJVom2GdB4XTJzF/CCwUzIksCwJp9WXwkNYwWM6vOIthmoyh+jylxDwlgtis8thIyCpVC0jKAxjrY2IVg0NwtYmc2zYJWfvwDYPohZq/u0GS3AlJQbdm59Uizgw331KqdeH+JiQxSKTs+qp4vY8GTqwzf/dRt7BFAP0FwuKe9t2CAlgu5uuTjb6iYp6HqJmPAQ0WlxxKxeR9bWpRgsc6LmCYeIrhYtx7f4cV77lZd//6dBdDqVr37Rz+7KFnr//UX+vWYL3VOZ7LC+TiSsojEaMK7egrZyPXqLkYLul/B4Fd69VkTe4Bu4w1aqgzsw5uSzaL2Nz+YdIC7YgxJtE2fc0yRpzPpn5mvhqarM3FS/CwEvXeY1fPvkFhzjBpYvi7Atq4bE3iM4XTreHXmMk11lDNm11yWRKioEnIqKZED10CEpOc3o6S1bJhTx9PQPHkdVFYf/6quSQdjtUjZKSREg271bgG1mdqevwweuUTKNvVREN1KRNiQ9hIxCUVZPL7z1Ar3BTjjzmtC0F20SKv2NnjMckn4RQLSNsXHlujpFR7uKxjWCzddKnqGFbFMv8bERTHEW+tRCjjYXc7qzAE/ITEyM+NeREXn/VovK4nwn6wp7WJTaQ2K4G3PIiQLi7NMKIL0QNTWflh4Lhw5JhpaTI4y/m1Ls78Dc7jmA1RFB13uNHNdJYnBgtsVgyM0n2RYiefIyyviwEC2AkDGOkVAyXaFiml0FOAyF6BMTWZ7WRrn+EvHeNnn/afkyTJxZQkjV0t4ulYPmZilHmkzSK6yokO/EB5RCFpq1MpqFNGJLEw1IW5r0rh76WtzHYKrKeFMXx3/bzxXfKgxWA+vWScn4oWUs3mCPAOoB2vHj4lTXrJHof2pKsoKiIqgoVymytmFoOimRockK5WuheKXMfxz7JZHBLq7k/RdeetlC7bFhcmMG+etv5ZC32MYbb8CL/zqFs3+SHaF/JSo0QpzJzdrKCTJsbgwmLTrfOEPhLL5d+zTZU+ewWaa4aHgKU3oq25cMsSH5EpqYWFmGNzYs2VpSlqyInzuP5XLC+bcI93fQ58vgJw1PcOxyKlYrrCvsZUnwHSKuCY4OreXE0EpcPhNxceJs8vIkUu/pERXysbHpXniqRP1VVRJBx8SIgzIaZ3/sdhmmnFGG0Gqlj7F9u5QI29uFgHLxojhprVZ6Whs2iLNOTWWWjNLXIjRnz6QgQmKmlNQyi+eLsM6Ydwre/60IeZqjoWiZIKV7HKbGCbomGR+TzzPgTqBHLSagjSLBMEahuY1kyzjx8WBITRVQzCiSWbFpx9nfL++9rSVCTGSYqtQerO5uxlt6mBh24/dDSGPGF5ONNj2H1GwTWboOUsLtRBu9WKMU9KkZhFMLqRst5FBNOlMeDYsWyfF5EMKiLhd0dURw1DTCtZNoxofx6uKxJ67Fkp1JrrmbXPUqiVMNKG4nhAKEMOAIJjHgS6PNW4jDUIguIZFlSc0UKTXE6FwoJqssXyxaBjEJhEIC7A0NEmD4fHL+S0oks5oZlp5nM7NW9l5hJY4NS9AA00zHlFngSkiTc6z9ZJa1Pgyz2+X719QkFYVNm24tH/aw2COAuk+bURy4dk225mq1UrIqLpaLrajohmhlhipad0oYfQYTJGczfvkax6b28mbnBkZ7J9iYcJ6vfjMa64q1vPMO/PSn0NPsZrXvPzCHxzgVeJwN+5LIihohafh9MgfexhKwEw6FidFMoDPouKjsZMiyhCc3OcnNVWXgNyUPTr8iTeqyNdJ7mckWwiHUa6cZP3WKlh4zL3ft5lBzGVMeDXu3e/jbfQdRept4q3ERb7avZ2gylrQ0hW3bpnsjhHDWd/DuCQvnmlJwjOlRFCnr2GwSJWdmyssFp1clTU0J8HR1ifOfoc/n5YnDiomREp/DMUt0iI2VftYMA3CGZJGXJ+BXViakDKNBxTg1iNLfIpniUCcEfeK4YhJEkFVvFBDzTs72Q/qbiURUJhOr6DdU0TthY9AVRxgtyaF2StVzJAdasBjD6KKtKAWLBfTL10PUDYPX4ZAca3sPDHcz1tpLZ4sf1wRoomPJXpVD5tJs2iZzOHYpgauXw7gnwuiVADaLh5TocVLoxeZrI8rgJd40SZRVxRhtpjecT52jkDFzIcs2RLNx4wPUa1NVXI0tTJw8gbtngOHJGFoNGxi0LsViCJIX3Ueuvo28SA3xwT4Un4tgSMOoLxa7N55uXw5OQx6WKB0lSQPkGtqItkZQUvMkq8ouBa2OcFjKjfX14jy9XjmXc8FqQWmfcFj2oDmHRL9wbEj+HfDJ/RqNrPmITxXAik+VjMvwoA7QJ9P6+qQq0dkpQc2WLRI0PqwJ6COAugcLh8WhNjRIz8HjmV3X8Pzz0li9I72s0QHc504x8crPcbsiHNB/jR7LatZGv8/+rQ50j/8B7x3S8OKL0HDZy2Lvm+TqWmk2b+Zvvl9A2bo0PK/9lI7Xj/PPtZ+laTSDZ2y/ZHvcISIhFZ02QlS0QiCtnNDSPUQVF5I6dAyDLiJCsznl19+Ko76Lay8do+6ahquuSi5PVOINGklPi/CFLa2sNh+nrsvGa23rGfSlkJGpZf9+UVKIMfmwn73Mz3/i5fDlDDx+PXlJ43xqu53N+2yE0ss4XRPF5cty7HJz5fbSJTmGfr8AzuLFUn6w2ST7ammZlf8xGqXEl5Q0uwbD75/tUY2ORPA4XOj940Qp46RYx0mLHiPFOk68YRwLLoz4sEacmEOjmEJjKFodqslKID6XQEoJzuhKBvwZDI1oie06ToK/jaAhDm1WPrlR/aSa7ERHgyYmXrQQFY2UvezdMuNmjpY153qTsNyGu0UMNOgXCr85GqLiUS2xDE9G09isZWrcR5zFR3Gen6Q4Pz6/lvr+ZK70pNDjjCUSVsmIGaPANgTFK+hSFhHu7SDW04bN24YuMInHA8PBFKZiCinYVMjaJ7OwJekeTKtGVWGgHbXuJL7uHkY9UbQa1lE7tQKXxwDhMDHKKHmWHnI1DeTrGokNDxIIqIxOGBnxxjHii8elTyPKFCQ33kGqzU9UokWAvXDZdRLEQteVwTDbq/1AsLfQe3WPC2A5B2fBy+ue/Zvo+Ony4JwS4YcsWvswWkeHiBgPDMg1tW3brRdD/v/svXmwZPd13/e5++29+3W/pd/+3rzZZzBYCYAiCFJcFVIQFUtyLMeKS7JcUSRHFStVqUoqSVX+jZyK7ZIdO3Zky7J2URJJcxEJAiAJgAAIYAazz3uzvHn76325fff7yx+/fvNmAJAACIgirTlVt27vfbv79vn+zjnf8z1/XXYXoN6BxbGUu7l0af/Pc+iQzKG/+qpcnfzjfwz6uadk/SZf3t9yw306B4qC78t01vWvneHw1h+wpRxgVN1kIX2DhSkP/uv/na9eOsx/+A/w6ksBB52vc3/6BW5kH+N/+RcHWXzfNOIvfouXv7rF//3CE2x4k/xE9Uk+YHyRq50p7MkJDj00hta8SWrjFTLdG1hxF8ccY2P0I0SzJ1HyZS5tjrBxvsb2ZkxHlBmMHCK0y4yMwKfed5OPl77MMy9k+dMLD7PuzzA5a/LEE3J8fV7vcflLr/EHv5/wrUuTRHqGkw+k+Pm/q/Lw2Guoq2elk1AUvNIiLzZO8f9++QgvvWrieRKIPvQhqS5+8qRc1Z07J4EpDCXt/PhxWXeaqiYoXk86oGHaTfRaxJ02UadN3OsSBQm9roy26k2FxiBHnyJJuoRdKZIaLaLmivREESdKI3bXUDaukG5eQXVbKEmEI3JoukE+5bKgX6QaL6MosJu9h1b+OFG6gmYaWFqApXqk4jYZb4Nc7yqpwQa610ZFgK4hshXESBWlMoWWL6LaJqply1W8YSMMi/Vdm9cu2rQci+KYzX0P20zNWXIgYS/NmeUsr11K0ekb2Bmd4ydVTpyQaZrdHUHr+i7etRWc5RUGN24SeDHoJurkPIUjS1iLS4zMjTA+LtmQb3dkxRtMiP3hiVvXEFaaztSjrKgPcW3d5sYNGDgCPIciuyykrrOonWfBvoYRdqm1TZr9FC03Q6LqZMyA8YLDyHSe7NICysEH5IJpyGbcy0zsgdXt6fI9YtHbrqO4/TsBq7ktqe17lsreCVilCQlkP2ze+j22NxsMuTeC/ofF7gLUO7Tf/u19qZe99IPjSLmh971POm6un5XF3W5DbtH+6O9EN1lvj3D6Wpl2WOBk8jQvdR+iMf8JPn3vZU5e+k2EleJad4Z/8/KH+fMLDzDefYUPFb7OWe0jfOa/O8DBJRBP/yHf+AY8U3sUjZCfqH6dI8ZrxIrBoY8cYu5/+A05J8rtwzN/RHT2eQb9kI1amrPX8lzcrrLWraATYOkhEyMelYqKpUfkijr3z61x/maFP778OKvhAcZns3z6Mzqf+kkN26/z0mcv8tm/MDi7NgapDO97LM3f+4c5jt4mBOB5cOG5XS59+RzexbOogxaqoRNXD+PNPURdnWG3phHHYFuCSrpHyWpzfLbNoak24+kWiiPBCKczVHK4zdI5yBRl/SyVlTp05h4AmLQaMZcuKVxa1rm5oRH5MXo8oGw1KSk18tQxhUeeGlXlBqVoHTuoo0UeiaIRmzmCVBkRRYhEMEhN0ckeREQBitdH9zoQ+kRCxxc2PWOSrllFoGAkLtlwB0UIfD1HLXWcnfQ9OIVFrJR2q+5m2/Ic2trar8fMzMi+p7k5+RjTlMzHy5dlZLk3NPHUKbnt1Z+8XsC5J29w9israNvL5NUW2SyE9ghNe4mmvUQ8Ok9lwrwFWOPjkhn4jmoRu2sSqDaW5Xd95GHEkUfY7aRuMQRXV8HthdBrUVa2mDdXWEqvMKHdpNM3aLcEPdcgLTqkdY982SS/UCX74KMohx+UNaW9/0wia5p7rRn9vjzepaX9pux3POI98CRQtbblwMzWtpxJtneOGdZtqcEheBVGf3hzYe/Cbh8M2elIgPrIR94dAee9srsA9Q5NiDcurJ59VrLUfvVXXzepdO8Jgx50G2xdafDK0w283QaTuQbz4ixXL7oo5UmO36NTrJ+GfJmz9if5g8/neOriItXkMh8f+Qov8QnmP/F+kvwoV5+6yMpVhdqgQE5pUTU3mbHWmEptcmS6w/jhcQoLVQoTGbL1czSDIi+pn+Lpywe4tpKQdjc4zrM8mP8OB8frpKaqPL9+mGu7Zeb1S4T9AV+5+Qg33RlKhZiPH1vmiQeuUFTrbK76nF4uca07SZgZY/HBST75d6tMHy5BOkcYKVy6JE/2b39bip8aBizMJfzUg1d4pPgi/SsrrC67bOya9KMMYaRQSnuMjcLhpZDxgoMqpOjuXrSBYYFmyNu0obJCHElHE/pvBC8gEbJG1WrB+q7N2Y0qN7oT1Jwc1VSNpfwq945dY7bcoVQCrTIBkwckcSSOJZll7bJcZNRWodOQ5JYDp4aPm5WzjcZmEcUJwkTD97m1ef0AsbGCtnYBbfsKiR8QYNPKHaGRPUbTXMQN9FuPd10ZNayuygiyXJZ1tdtHtUSRpOzX6/Kz6bokhxw4IB1LLie/b9eFtfNNjNoKh/MrLGWuEwch/YHGdjLLaigJDY4xhqoplMvcAVpjYxL4vmcQ0diUtdSbF2UP2aGH5EDCVEYKR+zsNw2v3hD4bfk/GFU2eLB8jnvKV9jY0mi2FZJem6xokdX62OUi6WPHyT3+MZSl++7oT9vrI9wbbd/rDRuwbwOr77sOF0eyL24PsJpbkoyxt8DUdEm+uCPaGn/THrYfRYsiSUD65jflovvoUZn6e4NP+wHaXYB6lyaEHEqYycAv/uJ3f9zXviZHlxcKso8l6g/4wm9+m4lxwc/8ygzFs38Cqxd4LfkA//4v53j+6jyj0VV+beqfsljYYupQnmD0MC+uTPDixhI3OlWspIOvZKikukwq19ALRbrWDO2OSrORUOtY1PwyjsiDbskmy5kG75tZ5uBcwE76JOcvqBw2zjDlnabVM/nTGx/hinMYfWycoyctlia71C/cpHd9Ha/tYCYDJgo9ji4OuO+oS7UqsExoNgUbawnX1wyaXYMElXxOAtPifIQmAmrrHrV1l6A/QItcilafUbtO2e6x1h/n5eYJtrwqRsbkgbkt7pvbwrB1CVDprCQ1pAsycrJS8nbTGu5lyqzZt7m5bXN93WZ108KNbSLNZn6sx7H8FeaNZfLuDdqNiN2WxbJzgB3tIL38QeYPWZyY2GAxexOrvSoBKvDA6UpyxaAn6c4CCVKPPiHTUpXpt15Zx5FU+l69IHXpAk+C7vQh+RqTS6AbJIl0us8+K7fBYH/MfSq1r0Po+xKolpdlVNXt7s9zqlRkc/Rjj0l1hGefhSSKeOzQTR6evYrdWCFp7uC60I1y1PQl1pIlrnuL1Lv7OUDTfCNojY+/SZqwtSsjqtXz0okffEACVWZfLyhJZJS4B1hzEwMeW7gi2ZabVxk0HVZvyj44q7NKQeySMkKM0THSDzxK7iOfQpleuuNthZBp9fPnJVh1uxKsFhdlavjw4XeR0rz9wLuNO1OErW3ZpwYSwQuV/dTgHnhZ7/aN//rM9+Xi8rnnZK331CmZiv/rGEF/F6Depd24Af/u38FnPiMVtt/MtrbgX/9ryZb59Kfl4vyf/Y8XGQ8v83P/x2Okgjo89ft8uf/T/NPPn2J5GdKtZX6q8qcsTQ342H81RePaDsprT2N4TcLEoCcKuKkq5YrKQfEyneJxrhz+Fc7vTnPp+W06NY9unEe1bRYzqxw0LqB5Lbpemt1wgpvRAuuDSQI1QzHt0uynaLspcumQRw+s8+PHrpHEguWNHJfrk2z1R8iP6CzOCxYm+hh+m6jZQGluoLa3ySW7pJU+hZTHWMmjOuJh6NAbqLTbCq6rEGJg521GFsYZu/8geiYDuzfgxkXoNRCey7J7iG/V38dNb5Z0VueRg5s8dGBLCqfumapJkErl6IoS15tjXK2XubZToB+kwLCojKkcm9hiKbVMNb6CMRgOrdqb2zV1CAqjxLVNtl9blSB8Y5PIj6X6T3WM0uE5pu6bJbMwt+9sm9vw1O9LhxwFMH0ESmP7rzl54K2dUxxLmaObF2UqeE9EdeqgnJY7dRBMC9eF555NePXZHobf5t6lNg8caZM9ec8dAzL3Bi+eOSNreJ4nF0L33iudi2nKiPaVV2Qq7LHH4OGTXfTdq5JJunlVAqaiEBamaKWW2NaWWHcn2S58QDEAACAASURBVK2p7OzIiGzPcjkJVG9IEzp1OPctOasKRU57PvGBt5Yt2otWN5Zh4wqD7SbXrkFnq0O6e52i2MWwVbTqHKmHH6fwkZ9AGb2zgU4ISeXfi6zabblmWFyUkdWRI+/hkEIhZMr59XWtQXf/Mdni6xiE1Vv15x8VGwzkovrFF+VHfvBBee78IEfQ3wWo78OiaD9n/9nPyqL+b/zGmzP3hJB1q0YD/tE/GqYf2jVqv/fvGbnvONr9H4LP/wv+4tVj/LPnP8HNNRW1uc5HC1/mxEKbpZ/9GC+vTuG/8i30QY2cqDOjXaVUiHEzU/j1Nlfdg2xl78fteEyG5zmQuUF1WmfuRImJhRx2dw3R3KI5yPJC/STLN1NEzSaK2+e5xoNc78+hGyqHZ9qMlWMaTQjbXayoi6ZEaIaKlbWZnFTJFyDxfZy2z2AgcAILzBRGLkuqUkBki+y0Umxs62h+mwltk3uqN3noWIfjJ3VMvOHsrOv7oqXFMbnlRqRyQb/N7lbMK1sLXHGWiEemOPFohUcejDCjLqvXIq5ehWurGrW6AoFPxnBZKm9zNHuZWeMa6WBX/gCmDeUp2TRaGQ4ycrqSaOH2hilDA8qTiNFZtsUcF2ozXLiaotGQLzE9vS+7VKkMf9jNq1KBu7YmnY+mge9Jrzg2K8Fq+pAExO9lcSwjj+WX4fo5WbyPw2G0mAPDIghVVm9KxpUCKB/5ee5/4tCbKmSEoaxVnT4t6ftCyJrWqVMSTPaGLxaLss5w4gRStby+IcFq66q8LIQE2uoBxOQSvdwBdnu5OySeajV5+CA/drks32Mq32K29y3K7dPYltin4b9dMdh+ewhWywyur7KykjBYXSPTXyWntNFsC3X2EOn3f5ji+38MZfTOCFYI+V3tgdVeL97Cwj5YfVd1kXdjrrOfGtwDrm5j/347cycRo1yV5/wPOWh1u1IF5tVX+YGPoL8LUO/QRCL4zX+iUCxKFYQnn5RNb5/5zJs//uxZOT/oiSdkrxAAX/892Rfzmf8eXv5L/uD3In7rlZ9kt2kRN3b4sczXef/CddxTn6LdSJiqP4Uf6Vxwj7Prj5EUq0wWexSvfgU9clBHJ8mVU5zMn2d2VqH8449Truhw+UU4/yxuo8taf4wNdwqv59HqGTy9fj8r/XlSZsSHZ1/lx4tfI+r3GHgaQaTjiByuXsRIWaSyOl0vxVp3lJvOFCveIWraAlYxx/y8pIi7vYD2Vg+n6SJ8n3zKJ1/WSZfzpHImdtAi7W1QzTSZrHhUj45RPVmlPJVDdTuSCNFvS3kdpy1z/80teptNLl+zWG/laScVokyZVHUctTBCaTLP9ITPVK5OMVxHaW7JeoGuyymzhilTMY0taGzsEy00TQLAHsFiZFxeTuVkytB3EW6fmlPgkneCS51FNltSfn10dB+sJssuyktflKSY8iQcfRQ6uzJt1dqRSh2f/CVJOb+NfSgvt4bXO/sNp3src68vV+OCoTjuEizeQ2f0Pp45W+XV13QMQ1LyH330uzuKXk9OHT5zRoKKrsu018iIBLHdXXkOf/zjkvp/y7yBHJOxuSK3PZr2yMQtZQvGZonRaDbv1CXc3ZWAAGBFXRbcZ1kSL5NLx6gHTmA98BijB8fefuotCmVadWMZZ/kq18/U8VZvkHLWSasOpPPoc4fIfeBxCqfuQZlcvKMmJISsg164IFOBzaEu7fy8BKujR/+KI4LAh/bOnXWtdk22JcBQVf51yhiF0R/KcbmNBjz1lIzSf1Aj6O8C1Du06Kk/4eorddacCV5ameDMzQkWHxzn4PEUCwtylbbXjBoE8M//uUyJ/PIvDxdKW9fk2PYHPoYojPFv/7cL/NuXPkg7KuHXmzxof5NHJ89RG/0Aea3NYnKaZ2qPcqZxCD82yVcLHJj1eGj7X7JgXKZx4FM8aH2TyfA81tQk6id/Ua7cX/kagxs3OVub5znnQ2Ral9FXX+a560usdOawzYjH5i7wialvkXa38b0EP1LphgW2o2m2vHEemLpG2axT72VY7VWJVYPxVIsD5R0KRY1tbYlXmic4W1vE8XRy6ZDyqE5msoynFoi7HZLmLoNeTM+38IwRolSJQM9jmOqt0RszMzIVs7i4P1r8+jXBzSt9dq+2UNvbqPVVaG6huU1mzFUOlTepFnvYKV0uj+0c2CkJMqoG/gBQJOBki/uj5kfnpOyR50gQqK/LBt7amowcug2Zutsba5EkoEBHGedScIpL3jFW3TkSK8uH3+/y+GOxnGf02tMSaJbul4Xz5pZkhQlxB4sTkKCTKco0XaYojy9b3L+sG/J5tfWh4vcFCWaqCuPztAvH+PrKEV67kiWVkoy/hx/+7o5CCJlmPnNGLpgGg+HokKGqfKkEv/Zr36WMJoQE271U4O7NO+eaTS7J7baUo+/L190DreZGH2P5OSrN76AlAbX0MRqTj5Gdrd5KEb4tNuFwCgAbyzhXrrD27CX81WvoTg1b9YmzFayFAxQefh+F40dQpg/dIXElhDyevciqXpc/8dzcPljlcm/LDbw7iyMJUnv1rMaWBLEwkPer2pCMcRtwlSbeUsz4B2VbW3JhvrIiv6+/yhH0dwHqndqF52UfSHObF5/u4fswNQ07TpFNd4K+MYGXnqC4OMF2t8DNNYVf/3X5JyBJ5CDAwCP++D/gn/7qd/ij5w7SMydwGw5H1W/zvtLLrKfuZ6QgiPyIVxtHqPVylDIDxg5UuGd+l7/V/J/Q+nW+6v008/YqBb1NPzNHwRww479COm7QosppPoxlJCTdJl+6ch/n2wexMjr3HPEZXSjit3qI5g5m1GG1O0bTzWPFffJKg7LeoGLsMqLVGE11qOZaFG2HATl2O2m6romZDBizaozmXZTSGGv2/ZzunML3BXm9h5nS0cYnUcbnoDxFrJqEoaxnbG5KB9HryXpBrSZvD0PpNLJZ6bSOHIH3HWvxyNwKVf8CyfULbFxqcXNNMAgtRnMDDixElPIxiqpKMFA1mZ7SDOmgrLRsqk1iCVxRKJl/eyBmWDKSqi7K+k/1gLzu9fenw968JFfybg/PCdnuFSin++TsAHRTer9uQ5IpskWpRl8alym+4ri8XJ6UW6HyzphfQkhntnpBbsPxFG1rjm9vHuPV+hGMYv6WfM33chRxLFPSZ87s95sVCnI1fPLk20h9Bb78Hvaiq94wXMqXZf1tcgnG59/gTIWAfmNA94VvE559Abfrs6Ec4pzyQdq6FOi9PU24uCg/y/c+Fg+2rjE4/R02vvEq3o1riIGDocWIXIX03Ayl+46TP34EZfbIHSlGIeQ5txdZ1WryvNvTkTx69Ac8EypJ5O96hzLGloxmQR5cvvzGupb916f+uroqyV9razIq//t//73/zu4C1Pdp6+vwO/+qz08+tsPJSZlzDna36aw1aLcEu7twftkmyk1QPjhBfm6CsfyA6fY3yX300/yf/5fKF7+aIspVqNcEFX+FmdQ6frrK4aUIooDz2xP0+iqTpT5j9x3k8aUVPrr2P1P0V3HHjuNGFq5aYLX4YZxuTGHzOaL6LgMnpkADJzT5483/klc79xIrBpPFDnrGxhYeY9o6I+ouK4MlznWPMRBpslbEZKHFTL7GXKnJ1EifQj6m09dobg4IW11KYotJU0591U2oM8uOU5D9LIpDwRrgGSU21UNsiQO0ohKxfifjTjFNImHQHWi0OgZdRwchSITANmIUIjTfIXBcrKiHITxMxaNid5jM1ZnJ1RhPNYj9iHZPoxekMSyNo1M1jhxSUMcmZSQV+ESdFvFggClclNCT3lvV9numdFPuFVWCS+Dtp9xAgpqiShDTDXlfHA5nzDvyMaoqo5/CmKyh7dyQz5laknWH10dQIAE0lbtF9iCdk2nH229LZd8Y1gghqdCrF2Rk1a7R6cDZnRkuuccIJ47y6MeKb0u+ZjCQEdWZM3LBoKqyEfbee2Uj7FuuiIWQTnVjCFY7N/YXCONz+9FVcfTOOkvgwaUX4eLzCM+ll1tke/Rx1sO5W2nCqSn4mZ95i/d//bHsruI+9yQ733yF/uo64SAgUU20XJbCTIXKiXmyx09IsLpNJxH2werChf2xJDMzkhhw6tQ7OI730oSQUX7zdXWtPdFikOfM7YBVrsrbfkB1LSFkTfPcOTm94L1+27sA9VYWhfDsn0lHphu39n/xjXHOX8vxG7/cxMoOC+2GeeukevLPG+yuNHn4SJ2gVqNT93HXNmjHRf5s69NcWi+iGxrXnWmMoMdceo37j/Z5+DGbV0+rfOdKhTCCA3MhH/ulY3xi/CnK/+l/Rem35Op8Yl6ypB74BPHZZ9l+/hxX1jJ0kjIZpcvnXj7ISzcmUZOIk+UVZsYcLjgn8AcxzkBwsb1EKxoBVcUyYgopn8lSl9lyj4UpB9uCQS+kuRNgem2q9hbHSyvopsJaf4LthkE1XmFGv8qoUSOjDyhaHXRdxdASVN1AtQyMjEWk57jZn+BCa4FznSNc7c7ixilCxSaVSkilFMbzfWZT61RYpxRvkFIcbNXBJ40fmYSRghPaDEKT3WiSnXiazWiWjl7FjVL0ugnCd8mKOkvpq1RTNZrxGPV4FEuPGLG7jNlNxjJd8taAjBWStiNSRkhKDzAsBVOJ0PHRlAhF11BVBU1TUFWBalqoto1q22imLvfZHKqSyDqX25dpuL1Irb0rHeDhh+EDPy2BatCVxIw97b+9vdOV0drre7kURT5vjzBxB6ANbws82LmBWL1I6+o2167Dlj9JOHmMYz9xjMMPjrwtp7G7K4kVr70mG2FTKRlRnTq1n3Z9S4sjmQLcA6z2kKiSzu9HV9XFfZZjGMCVl+D8cxLsx+ekmnx1kUQo764ndus67je+RP2FV2mvteg5CpFik85plCfTTB0dxTx2nxzhUb2zblWv74PV0pKU8/qhMm+wrz24J+vUbUjfA/L7vZ2IUZr4kVV8vwtQb2W+C1/5/+SfKQ4hDPA9wW9+6f2cnN7lifsvv+Epzab8oy8uyimvKAq9G5t86bkK/8/Fn2WjkWHC2MJLLHQiHhv5Jo/NnidJj3B+Z4pzrYOERp4PfTDhF361TObpfwWvfg1QYP4kzByGEx9AZMvsPvk0q5f7dIMsQtP4+up9fPXsIp4nmC/scnCyxYJyjnu054lC+HLj43yh/gQ78TT5fML8TMjchM9UZYAW+7R2BqzfTBj0ItQkoGT10CyDQZLDCxXytBg3tzlYWmdprMHErIGm61juLsagjuZ1iX2fyA9I/JAoEgggUW08fQQ1m8OeGGW0alOxm+j9GonTJ+w7hF5EiEmgZvG0An1jHEcdoabNs8scbXOOrjnFwNfptSO8joPfHeC0XHS3TeQFtNoqcRRjEJLWBxQtB8uICdU0kWKjqpDWXSw9wjYCLD3CMlUMS0XJ5oiyY0SZcUkrT2VB1VBEghn3sOMOVtTFijtYcRc77pASXTKig42Dpgm02EeLHLSgT8ZdJx01iHWbbuUU0eQx1PFZ1KkFSgenGV/I7ytuJ4lMOd4Cr+4bgWzQ3U/53G57tHtFRTgdtq72WL/uMQhMtMoEC48fZeqD96KMvrU0QJJI9t+ZM1LZIopko+apU7JN4h2lcJzufipw69otKjuVaRldTi5JR5rEsPwKnH9WfsbKlASq6e9j6NXrLQrhxnm8bz9J4/Qlapseu500jx3bJGUlMpVbHIdDD8Dcccm+vK1ulSQ/In49DGSt8HYWYWtnn4yxp/h+uw7hj4Di+12A+j7sOy8mfOHzCf/gF3ymx/1bwEUcEvsBf/QfA0QU8mM/Btdu6FxZVjj9TJ0XN5ao92xKeoNNr8q8vsxjI9/i3tFlOkEBzxdoIiRnuRyr1lgsblN2r2DEfbmSLo7Lk2p8jsFWje5GkyCIacUVPrv5BF9afZSBpzGXvsk9lRUq6S7z1nXqXokvbH2CnNLiVPY0lVQbM2uTHitCtowb6KzuZAjdkKzhMDPSRSuNUDMOcqM7TuwMKCbbzBe2mSoPUKpzbJgn2YjmGbgqikhI928ytvMM8+2nKIWrIGL6cR6PFLYWUFRqlJQaKcVBFz6qkqCqCmgaimGi2mm0dBo1M2zIzRblZ00XwEoTo9PvRgxaHoNWn6A3IByExEGA6+ts9ws0+zZhohPEBu2gQDvK041yBNgYBiiGQWgW8dMT9PVx/MQiCmL524U+uvCwccgZDsW0RznnUq7olKs2ldksmYkRrPIIuqURhpIEs7eFXoRwugini+J0UNwu6qBNqnmJyfoz2H6DvsjTFuMIRWVq1OXgEtJZjM/CyKR0lpnCkGFYGIJk7k4PGUcyWrsdvN4kMkt6Ha6uxNxYiTD8FoWUx9xswsiBCQkMlen919+LyjJ5Of59mNvzPFmfOX1a1hkURSpWnDola4PviL2V3EZl31yRKhRCyBpK9YCMsMbn5X3nviUXB5/8pfc2Z9Spw/IrhGe/jdFeH9YjA8mWdPtg2ZL9uXBSjgaZPvzWbQI/zHZL8X3rNhbhtqy/wr7i++t1CM13qhv1V2d3Aer7sEuX4PKrXZ649yKKlZL1DCuFT4o/+2KaP/9PFrNzyq3GQHdlhbOnQ660pzGDNttuhRntKveWzvGhh3sU58b58rNlLmxPcGiyxWNHN1FWvsOS/zwVY5dUGrJ2gpkxUE0Dt9EjdH0awQh/uP1zfHHnYzi+zWL6Kh+tPM3h/FUmzXXW3Gn+cOvnON8/hqoI7ile5DPzX2E+s4UIQ3qeRTMYYSeexLB1dNuiyTitoAShz5S5xpH8VY6Ub1IZVVBK4zJVYJhEiUprx6O15TCo93AG4CcWNWZw7XHK2g7V5CqpuIUaeWhKhBE7WHEPPfYQAoRIiBIDVU1IGy4CXabVTB1dS9AJUUWEImIU9s5DFQyDxLBpKlOshkusB7O45igjM3mmFrOkylk6QZbTKyW+cXqElbU0jqOiJx6mGKALH4ZjQOyMTjqvk7YSTC0kjgSBF+M5EVEQEwUxIopRRIKhxRiGkONDSoJKBSrjGuNVnfFKTCkfUshGFA4voM8d3D9hwoDkO18lOfc8UaLhjixiDBpk28syLRgOR0SYKbl6zxSHxW9lyFDM7gNWeri/HcjszBsdeeCD2yPu9Tj9XJuLT6+SbV1m0V5hodIklxWQysvfM5W98/l25g2pxIZX5MyNMmeWC3RcGytjcPyEnJw8M/N94Ig3kD1XG8Peq9up7BMLkkwye+yvhhoWR5L0svKKBESnI2ukoSd/j24DRCIFnieX4OjDMrp6Xd3qR9KEkMSW2xmEza39eirI3qzX6xD+NSm+3wWo79c2VuDJ32XgQrMhewQaTbnSTKVVjtxjU6qm2VgXfPvJDufrc/TCNN0wT07rcCC3xi994jKD0iH+yecfoDYo8lPHX+UXZv8Qu36ZxHPpGeM0mKbWy7DeLZMLNphUrxOj8vndT/O1xsfoR1kOpS/zs9U/5kh2BRQ43z/BH+7+bc71T2LocHJijY+evI6V0lnbSeF2A6yow0H7IpPGOgKFlhhnLVoka7ocyS5zuHhDpnMyBUjlEEC7q9DZ9fA7fRS3jyIiUBRUyyKV0cnmddJ2RK8HTifEdwLU0MGK+0BMEFtshVNc9o5xzV+i7lcIYpXj6TN8cuTLMk2mhOjEJEJBoA59tIKia2i6BrqGG6VwQ5MkAV2NKFkOpZSDoQ17nAxL1gPNFKSydClxpTHJamsUJ0phGzEWDs2uwXq3TNMv0qdETykR61l0SyNtRqQMH9tMiKMEEUaI0Cf2Q0I/JgwSkkQhEjqJ0NB0MCwN3dQIKwuk5hcYHVMYH5cF//FxGA2WGV3+C1Kai/7Ah1GOPSr7oXZWJcFg+4a8HgwbfrMlCRB2er/BeNC9k8QBMsWXye8D1pvsQzXFiy8pvPCMQ6Z5iXtHLnCifI2MEcgVc2V6KNGTHkZot6UYPedWfUMIuFEvcmatyoXdKQIlzcgInDoecOoeQXE8fWe9zLDeGr3uoLKvDKnsyZDKvrhfv7qNyv6eWbcpgerqafm5NU066DCQKh/tXfkdLNwjnfX0IZg58oa61Y+0CfFGxffW9j5DE+Rv+fp+rexbiTW+e7sLUO/Q4lgqK1+5nHDtokevPkBPXMaKLk5jgNd1+YW/7SK8AZ//U5eV59eI/RBDF6TVPkW9TTW1ywcPXmcrmuE7V0fRRcgjI99hLn2TRNEJjTyOVqErSmwYx6n1c5T751GSmM+2f54nax+i2dWZ06/w8eJXmM/cQCgGXpLCiTMEiRwUqKQykC/jC4u+a+LHOoppEdsFuuY0YapMXm3ygdRf8pDyVSasXfRigWThPtSZJUIty4384zRfu4y3fIlUdxWRJJDOE00cJpk+QlKZI6ztkCyfQbl5Hqt1g3TcgCQhUU266iiBWcI0oaztMM4qadFF1wVGNk06lWCrPiEWvSSHk2SlLJLjkfS7BG6EFyjcdKqsOrP04wwoKlnTp5zuUs23yZTzFDMeRaNLSulhhH2E75JECXEMUaRgmgmaqTOIbNxACs5mCyblrIvutRi0XQaeSt+36UU5ukmBgTWOk5kjMnMIK0diZUh0m0iVBI+BC04Puj1Bq6sxcDX6gYUXmQSJCYZFrFokqoWeMknndPLWgPerX2BBu0BUmqV++Kcpz5cYHYVCXlDUOxSCVXK9a7L3qy/HrGOlYEwK01Icl8xDry9X/4PuG/evJ1zoBqTzBGaBy2t5Xlsp4MUmJ2bqnJjaJOPKsSik85I4MHdMiuaqqjzp9/rGbkslBp0+Fy9rnL5oc2PdQsQx85U2p2a3OTZZwzKG/VJ3MBNvYyzeDmS310ICX/am7QHW3neQH0Y0U0Mq+3sJEHEsJ/ZeeVlGdCC/78Io+A5Ul6Q81cayTJHphgSpmSNvqFv9Z2N7iu+3z9fa6+0DeQ7enhqcOvie097vAtQ7sGeekZpmr73sk9ZcpqcSFudjlpYEqqry+S9qTE5LGvOffd7k2hWPVNRmZFwnDiJUf8Cp/Fl+/YE/5amth3huZYF5+zq/svBvyGdito3DhGqGbLSNZmgooU8vzCBEwpfcv8OT/U+xVs+R71/lo9nPcSz1Gmf79/Dl1n/Bpj+NrkMl0+WB6gr3VS6RD7dJhzWKWhNFVfBJE6ppXJEha3qMGrtUrCaRYhKqGdRYelwRePiRQTMqsxodBFXF0crsKAdoGjOQCAr+DQrBOkdT5xnRasSJgptkqI7FZEaz2KMVslNl8pUUuprIVb8/IOl1UN22bFQMfel0lu6De39cNrneltLxXMGZbzZ46as16tcbmP1NDlvnOGSeQyVm2xvjan+BlwcPc9U/SNfLkCgqthaSMVyyWp+c3qOarpMK6uRFjaJSJ610SMKEKBZkdY+pfIOFUp2RnIsqEgh9wkTDFWl8o4QvbIJAIbotcFF0XbL5DLkpuk6UaPiuYOCr9FyDvmfgBBbdMEctGKEdl+kzQk8UGDVq3GN8GwVBLZlkl1l6qTmc7BxJqkgqrVCpwERpwIS9S1lsUPDXKLJLIeVRKII5OS0d9ficdBJ76ae9FfGbAZfTAadL0O1xc1WwuSFLMFMTEbOVHmY0rGnphoy+Zo/B4j0yxbXXRPwm1unAmZdDzrwc0NgJMfA4Ot3m3vld5ou7qP5txI84Ypjj3T9ey5ZpJDsrU4yp4d7OyDpRpybTUbW1fSp7ZVJ+/tEZGfXsNTy/W+u3YeVVuQ268lgO3CvPz0xBRrvrl6XSvdPZJ37MHvnRr1u9lUWhjCrviLZ25G/66f9WAtZ7aHcB6h3YK69IiZjWy2e4x/kcShIThjBwZV+U54GrFXl+8zhhKLg/+x2mcg28UOdmfwI3zvChyjP0wgwtv8hkaosHK+dw83PEE4eZVq6QDzYJE5Wg1SUIFT7X/Ft8vvtz3GxXKISrfKb4xzyYe4l2MsKF8H6ueMfY6hURqkxLFW0XVQToaoKiqWClsNMqk6kdjpinmWaZgqijxj6JouLEGbp+Wqa5ghSqiNDVEEsLcZIc7aSEq+TRRUSWBjnamIpPnKgMkgyJakgHm0zTV0o8Ur1EVu/jRTphCGGkMIjSOHGaPkWqJYefefAcaiaPoUaYg22M/i6aKlByBZSxOba0g7x0bZqza6OEic5U2eHYXJdyIaDX9HF2O4S726idHbTQIYki3MgkUixQVDxFgnCCQShMBkkanwxOkqYfpPESm0CY9DybjU6J+iBHjE4p1efw6BbHphocKG0xl15n0t6inA9IF2z8wgwtZYJOX6dfdxg0B8T9HmbSx4p6pAyPrOmTNjxsLcBUApLAJ3FdEt8jDmKSMJJRnS5HUuixiyYCVBERJjob8Ry9OD+k0k+xFc2yEc/jKXl0WyNlxqQ0DwOPgtZhxO5QznoUsxHFUZPCeJbChNwy6UTW7kQiQSBJgOF+uGDoNX1efs3k+nWFFD1OVLc4VN7EdLYkqcAd0t9VTUYJ2ZJcVFipYSrVHqZTZU+Z0CzWmznO3Khwbq2MF+jkbY9TszucmtmiknUk4AyJKXILIPJvuy0Ykhde53sUZKSVJPL+vZ61vb624x+Ax39WRoDvhZp4ksgIbvllKV8lhIyalu6XYKRq0knvgVVzSz6vUJFANXP47Snd/6hbkshzJV9+z2uGdwHq+zGny/Zyg+VLMZcvxty4HrN2IyZXMjl9JYvXD1hKXaGqr7PVKxKEEMYGZatJJ8gh0JjPrjFb6WNXJxgr9Dg2+Col7yoicBEJfK7+Gf6o9vNsDMapKJv8zOgf8YHCN3BEnpX4JAN1hDhO0NWYotamrNdQVehEeepBhX6cxVQ8ckqHtNIjRR9FEYCKl1g0ghFUEVPUW1TMGgW9i626OHGGATkSDCBBEyGqSAiEgRPnqEXjbATTtJUxXCWPks6RaCZpdUAK6cwSoZCgkmimrMtYMsrQVUHOHDBbbKCoAkMHRQiMqMdEOU4TBQAAIABJREFU70XCnktvoFP3SlwPD9HWpzBtjVjo+LGBqgg0NWLMajCb2WDS2qZqrFNmm3RcRwsc6bCSBOmKVRLFJFQNAtJ4ZPFEmr4o0EvyeCKDL2x2vSIXGgtca0/i+CYaEVmtR17vYaseea3DiNFg1KxTMHrkLYdCyqOY9jG0iDhRCGMdLzIYRDZBpEmWIgm25pPRXTKGR8oISOcMyX4bNiZHkUIUCqJIEMeCMLEg8lFiHyWKEMNIIxIa3ThPIyzTCCo04jJOksOJMgziNIM4RSJUNDVB0wSqpqKbOqVCRCmfyPRhxqeQ8pgaHVCayIBuoqdkKrLRS/H0+WnO3SxTygX82k9eQFXkhFzqm1Bfk3WJYEjosDL7IKWq3JKGUhRZ+7MzxGaG9U6FS7tjXK2P4qk5yuMmx47BiUM+KVvI5yqK7B+7fQ/yvQJXtnr4rjwW35Upt729sxcddsAdyOdqQ6mgsVnJEBybfWNKMZ1/ZylCpyvrVCuvyAjLTsPivZLttxcxOR0JVOuXZYoySWQEOH1IAtbkgf986lY/ILsLUO/QXnhBRlLf+pZs6Jubk8SI7c2YTsMnEzeZT9+kQI2zrUOIJOG+/GmCxODlzgMoCnxw9jxjJ2YJq0dJOi2U89+E9g5qHHDFPcSr/QfZ9SsYicupzKvckz1DT+T5RvfD1JJpRCyAhKzpMpbtY6keGW1AWaszaW2waK8wZd4kp8n7fNJ04yL9wCarNBnR6owaNXQ1ohMWqUWjdKM8caKRVbsYBGgixEnStIISu/4o3TgPKIyYLSp2i6LZY9Ss0WEMYVpU0n3yqZBcOiJXUMnkVVRdw49tBrGNE9r0PJueZxLHChNVBSuf4tJmmReWJ7iwYtP2s4wZWzycf5HDqYtktB6qqiJUjZTuU9Jb5PUuOhGKEAikg1MU+RhU0EjQiFBFiBb7Qwbg7SxABaEoCKESo5EkKhEaAhWhaAwiGydKE8QGMRp9vYKqQMfP0nIzeKFOkkCQmATCJFRsIi2DMNOYKZVSLiaVhkgYuLF8rU6QRShDBYvSBPmySXU0pDoaMjkWUh2LyGUT6dCSSNZDhhFOWN/G36kT7W4jmjskrkPi+4RBgh/phKFKFEMcJYSxxiCwcAITLzJxYwtPpGVNLcrTj+VxPDJ2msNTHcYmTcpjumwytySo9OMMjsgxPjdUstgjW6Syskm9XYPdVbnFsXS4ozOSdZcfkey816cUw4AgkAoN29vQH6iEepbSdIGpg3kmDhRQs2+DmfhmFkf7ZI5+W/ZbbVyR+z1KtRCSRJIbgezIvgyTad9ZG3s97T6du4N2DwwHW12TQLV2SV4fn4MP/x35ensWDFX71y79zapbvcd2F6Deof3Jn8i5M74Pza0Bz32ty6WrFkkCJbODpoOqafQ8E1vp83D+RWzFZT2YZjTd4Vd+7JtsPfSrNOxD5M59jrHXfodo4PDVxsf5fP0J1r1pVBFTNdcZN7bxRJo1f5ZmVEYIBVVJKJg9DuevMpPeompsMmWukdfbZPUBphIwiFN04jytcIRulCGtDGQ0oLj4wiIWBn5ioCsxKdXBxMdWBviJTT0cYcOfZsU9SCuu4CQ5DC3m/WOv8EDhFQ6ZF6momxhKiKMUaDKBm2ToJ1m8JI2fmISJjkgEtuoyWeiQ0jzShk9KC9DUmFDoNL08zUGGwAdbdRnPtKnmWpStDpZw0JMBWuihhD5CSLkhoZkkminBBAUhFFnKSBKEEMPrcp8IQICCQBERqohRiVBEIsdLIFCGK36hqAg0YkUjxiQUJr04QzMocTU4gq4JqsU+0+U+tpUQR4LQj/B7Ht4gwvU03MimHZdoRWX65EEzEKqBbqikM/DTD13BCSxafYuOY9JyLBxXR5Ewia37jKQHFGwpF1WwB1hqgJLEw4hQkalBPyLyI2IvQEQBRCFhouNFOv04Rzcq0I6K1MMRWkGBSBhEsYqp+IzbNaJExTQE2bSgmI0o5GPSdoJtCQwjwVJDDDVCVyM0IpQo3B8jren7m6rt6xn6rrz/2PulrFEqO3T4kgGKlZJpxjhChAGt3YDVZY/N6wNUr0tW7VIdi5gYv01Z/G0wE7FS3xvEXEcSHjZXZGTTa8rUYHpIr88UZQToO/sg993UPN5MlsrODCfwbsLjP/fdjyWOJaCvXfqbWbd6F3YXoN6hxTF8/bcvcOPrZ3h5eYQXV+eJYpXxkkvbmiOINPydXcIQTmVPEwmdNXcKw1Q5OOvSmXiIVNzkwcZv80H9c7zaOcXv7Pw3LA8OEwiDqrHJodRldF1Qj8ZoBXmq5gZHMpe5t/Aah7LXsVWXINaJhIYTZWiHBbaDCa44h7gyWKIfF1CVGF0JKWptSnqTktFi3NwlrTloSowqYnpRnm6cpRGWqQVj+IlJLHTEMFIqmR0Kepes4VAw+xRMh7TuktV6jGsbjKg7WHgIRSUWGroSoyuBBAUSEDJaAeVWOSEW8rECBQWBrkYYSoSqClmtHwIGqkGsGiSqCaqKijzmWDEY6GVKc2XyU2OQycl+nsxwtZvO3+oXiswsXmTiRQZuaDLwdYKeQ7K7gdLcQGvcBKeD4jmIwCNIDJIoQQiFSLWII1jtV7lYn6HppBECcpmAiVyPotEhTI9TygyoWtuMxcvk3VWMoEsSxnixiRNaBImJJiJMVdYFDUNg6AJdA1VXiRMFP1DwAhU3lJFPKAyCxCDCJFZ0EoabopGgEyPTnqFioWgqKc0lrThklD4ppYeuxKiaAoZJaBUIrRKkCywdMXA8Eye0qVsH2Wml6NYGdAYmPddAsVLoaRs9ZaHbBpYWUbAHFO0+BaNLXu+S1fq3UsY2DnrooOyxCbXbtArjaJ8MATKVdwfA6SSaQddPU+umaXRNIgzSGYWxCY2xMQXTRD4/jiEOQNGGzzfk61Wm4FP/8O39cYWQEdUeM7C2NqSyW7LvampJpgN183sreQx6b+wZOnCvnLCcKby942jt7IPVXt0qX5aR1d+UutXbtLsA9Tp7K2kTx4E/+a3rvPLNHs8vT9J20zz6oRQ5y6VzbYvrF3o0Bxnuy7xMJ8jSikdIF2wmj1RoeAXq1xt8Qv+PVPQtPlf7DBcHx/GETdXY5NH8sxzMLjOZ2sIWPml9QMnokDJ8FFWSDep+iWZQpBtm6cdZokTScwt6h5LRomLWSasuCjEJKmFi4sQZUuqAMbOGl1h0oxzduECQWMRogIKuRBhqhKbEyGo0ROhEiQTCRGhEQiMSOrKSJdCUGFv1SKkumhohhIJPigQFSwnkfZqLrbiAIBI6fpKiExfpJGUa8SjbYZUdf4J+kiUQkp6doJHPRORsH1v1yOgeOWNAWd9l0bzCtLHKYmmbQl6glMYkxdVOg24N6cpDIoAQQ3FYfb/WMVzJ3yrIuz3ZCzNog9NFBD4iChFRRJII6WPjBC/S6QVp3MgiEQqKIlj2jxAKEyGEHCSIbD7WFfneYWIwSNJ04gLdKE83yuOGFm5sEQkNBAgUDF02Caf1kIw+QFdjVCXB1wuEikUiNBndmJBOJVRKCaOjCaOjgpERlXxRw9RidCVCVyI0v4Paa8ieql4LvGFkIBJJnc5XpLTPgfvkd9DcQtQ3cbd2cXbb9F0dxzdxtDKOPoqjlnBEHtfXEMmePxCyfmgIMmlBJhWRs3yylk/G8skYPinNI6UOMGJHRjO+C8Ew4gpcOeAx9KW6fxjhOhGeI5ujVRJMMyGdAtPgtuhkuJBBSHDJlYZkDUv+/oYlU22mBUZK7s0hkWMIjOyp3nfq0K3JtGXg7s/fylckYGSLsiaG2GcdCiHlg0J/qD6+td8vlC3CR/8ePPKTb7/WdLdu9T3tLkC9zn73d2WfUzotRw+k0/uXbRu+8AXY2RFcu6Zw8yZMFB3MxMHv9ml2TdxA55Hct/BjG1tzef/0eUqpgKy/TiW5iULMl+s/wZXBYRQl5uHcCzxS/DYZbYCuxGhKLNNXKITCwB8yzuJEBUVgqz4qgkCYCEXBIERXZKE+UVTcWLLUGmGZfpShHRZJUJi3V5mwtgmESSJ0UASmGmFpPpoi8ESKfpylGxfoRjl6cYFOXKSf5OlHOfpJVtYnwr00nkaU6MRCgltFq1EymmgkDJI0u+E4TTGBE6WIE5WU5lGyOpTtNiWjTVFtkdEH2HqAqYUkmk2opSSzT42wtBBT9Yf1pgglidEJ0Akxcf7/9s79R5Lruu+fe289+j2vnd3hktwVl7RJU7IsU7QdW46UQEsniGUYSUjrhwBBEMBLI8kP+SEgoX8gAvUPJKQDKL/kh5hEAj8SP7gGHD8Ew9RSkmVToqhdcvnYB3d2Z6anX9VVdW9+OLe6e3pnl6/dnSHnfoBCdVVXV1fXTN1zzznfey6r6gJHzZssmXUSnYORXFSkCmJTyL2kRHljUS3OIWvAOSW2bOLzaazTlE5TWOMNszfQRJREZLpFN28zKFIGtk5WphQuonAxuYt8eFGhnCXVGXU1oKH71MyIWBfEpqRmxqR6RM1kGArSWMJKhYtw3kuyOqaoLRLVayQpOGXE28qgNxT5emUWo8jRblpabUW7o2gvGGqtBFU1ztr43NCWNL43qwpgS/EUqskV+10f4gOXthinS2TxEiPTISsispGEu0eZYpQpxrkPvVaeM4oogrSmqNWUrOvTda2mqNXAaOe9rpL+dsGld3LWL2Xcd/eIw53RTsVfnnklYCaGphhL7s7aqSF2DhFu+N+ltffAjC/snM6oD/1g4jL3woyR3LNqnM/afZIzanSmHZ1ZUciwJ2OkLpwVgUhnBb78r0Sc8UGo8lZvvyp5q/Fomre650FZDljeKhioOb77XUnm9vsyHcHsejiEv/r9i4zffRdTDPi3d/033h0fkpJiekjbbKNdyXe2Py9lh5Ze5Gj9EgrL+cEx/vDqP+NStsZqss7PtL/LZ9t/S8v0cWi6ts2bg2NcyO7iUn43F8Z3sTFeZrto0i+ajFwdsBxL3+JY/TxrySXaZhuHonAxV8aHuDA6yrv5KhvFEtZp7m+8LpVNygUGZZ0CTScaAJZSxeRWwioAWjmUspPcDlTPujQ21olbqZBev1R6UDTNgLtql8ldRGk1C9EGq/EVSqv56+4/4EfDn6JphtRMhtMa5zROaZnBQo2p6yGpGlFXA1I9wmArU4FW8rqmR9T0gIYe0jAD6mZAXQ+p6RENPaBturSjLg09IFIFKCiIsUSMbUJOQqkSCpVQqpTC1HBJHV1vomotdKuBTmpYk1CqWEob5SNUMcJk26TZVZLxBrViE4OEJEUpp9AGSu9lFqUmc3UGrslAL9FTy2y6FbaKBfrDCDvORGSIqN6UgWbNstQas9jKWEq2aaiezJI87kM+QBVj6ZwAKINKYuoNRVLTjFSbftmim6Vc3W6x3m9RFg7nHElUcrjZ5Uh7iyOtbQ4vZSwvg2q0fA6lyhH5mYXrLWmwI1+Zv6rcD7B9deeUDz4Uy8qaH4fll3qTspQ5vra2ZKrw3daDXerdNhoyL1WnM12327IsL8v6hgrmalLIyriMh2Jktzf94GJfgWPYk2VUeXT9aQ6tzKUybmXoxpmcpxhL6O/Bn5P7VQ0UXrtvpyiiuo5Lb8DrfwuP/tOPVtNukrd6VcKBBzRvdXAM1DuvwasvTcMBrUX4zC+/749/85vw4ovwg9M/4n79fT7T+h6/uvKH1M1Aes1oNvIF/s/6r3E4ucyvHfpdNJazgxN8v/85FHAouUIn2qJtenTiLoWNODc6wR+9+094dfgQmU0pnUahyF1EIxpwd+0CP1F/jRO111mKr6GVJbcRV8aHeSc7ysXRGteKFZRylL633y0WGboG3bKFdRGpykApanrIanrN5zA0Dk3pIqw3SJqSRI1JtCyxyolV7rczUp0R6xyjSup6RMMMOFq/yMOd19DKUVrIbYzTitV0gyiNiWKFsw7tcxMWhyoLjMuJyEWw4JwUeXUJmUvJbUJmUzKXMiwbdPUqAzoMXZO+bTFwLXplm17ZYuxSMtUgJ8XYjLTYxrgxb7iH6bFIacGVDldaXFmKoMKWaFsQkROrjETn1PWITtyjk3TppCPa6YhmLWehbeksapZWI1bWaiysJHSiHg27QX18lcT1idJYqnasHpP8l4n8KPyLkrMALIZ+/R7Wo2O8NbibN7bWOL++wMVLisuXpfOTZQ5nHc16SbthaTYKWvGQjt6iVm6iBl5OPerj8pyYjKYZ0arnLHbGLHTApm36rkNvlLC5HXFlM6HISihyEgb8/KG/5eTaX/jG2E68IzorElqqQmS7rZUW72SwLQ1mlZdx+DmxFkQkseirZtdb3uD5vJGJIIrJbUx3VKM7SNgaprIeJHT7EVs9mR9slHvVYyyNfDWJ5awBm1+3dpk+633hnPfMRlMVYm9T7vV4JLMw22JalT3PfA7snqnBWr7r9pX9OcB5q4NjoM6/At//Cx8mGIm7/pXfel8fdQ7+429u8e0/2+Ch8i+5NFjhteFP8vOtb3FptMJmvsK9yescb1zgaHqBRzsv+TDXGplNMFgaps920WAh6rEYbTBydc4O76dbLNArG/SLJko5GnrESrzOkfQSLTPAqJKxTdgqOmwVC2yXba7li+A0hYq9d9Vg6BqUKqaHKJNc0sBFNZS2LMVdlqN1VvQlVnmbo9F51sw7nB99ivVylViNadCjbbZ9eKSkTl/CU6YvuQQ1oKZG1PSQuhmSKAktGpVjlFfFgYz/UX6AKA4qb0x8Ivq25cNhMoh27FJGtk7PthiUogbs2g79su1/W42NcpWCBIWTorMzhtOoAu2l5SiwVpMwZFjWREhgDZlNGNoGg7LJwNbpFW2Grk7mGlIlwue+chtTODMRcWjlxKPTFqMk55ZGBc1aTrues9jOWWmNWG1sstbpcjh+l1VziaV6j1a9oLncpLGQ0ExLtM0kV7F9VXr7zo8BanSwtTYj1Wa7aHJ1K+HdqxHrGzFbg5RBnjLIE8ZI2aTcpRTEREqmQ8mHBeOspBgXxFZChjUzohGPadRK2s2CuJ5ArUEedXjgnh5f+PQVGeNUzSy8cXlaNDYbSCM9HiJhLJ+DURqXiOfpEpmA0sU1nElwoz5m1MX01qXiQ56J8Uvr4p1Vqjdtrq8jeAOy3NCN1tj6wm/e0BPL5+aB1Fo8rZsZseb7VK/fkLKE9bfFWL3z46mxqDVn5ry6//aG4nbkrd6QsOwnNG91cAzUh8E56TF9/8/5oz/IeO2tJl/8Ivz7b/4KV94Z0civcXf6Fl9ePs2x+tveK4Ef9h/mreG9bBSLLEdXWYg2eHXwEGvpZbbKDt/ZeoS3sns5ml7gWO1N7qu9zk82f8RSsklNZWQ2oVt02Cwkub6Zd1BAzWR0iwVpjp1mwXRZTq5yJFnnUPIuqR6TqBGJylHKYp2e5Ecym/jCptLLinSJpiTVY5qmTzvqshB1SXUmYTIkgzCJ4TsviFZmcp7CGbbKZQa2wdil1I3M91O4GJQmJxJ1srNoXRCrEq0VsRpNQ2UUGLw3pUBRUg1ZUuDDSbKjtHqSJ6q81irn41AoheSQlOSLLJWx0ZITccobMUXmUsY2JivFW8ttLF6bTRjZlH5Rp1ss0i3a9AoRpPTKJuNSPjd2sTdoci9KIkCDksHTicqp6RGpHpGaMQ0zIokKdKNOJxmxWNumqfs0dI+m7lOLc2pRQZwoolYd02ySx0tsuWV6WcpgZBgMJQeFtRLVcpooUkSxot3WOFuQD0ZkvZxez5GNHDYvKUpNbjU4iIzlJ9Y2aDVKkgTSFNaK14hrhrge04jG1OIx2pUYm2HKEcaOiGzm5foFxhVoNwa0VxYaVtcijtzjxxVpIwYqH0n4zEQiPlg+KvmUtePildSaO1V/Rb5z20RSFeIGj+ZoNDVYuxmxbpcd5alAwoQ3M2ALC5Jrft9GbNiTNuLCjyUHVSn8lu+aznl1+Njt8652y1s99q/lPn8CCAZqN5yT0ibf/3OZw6bR4fLal9iyK7S++Vv83kv3089TNCUt3ePy+Aiv9R/gh4OHOD/6FLmLORRf4Vh6nm65yNvZPYBjNb7KanqZ47U3uSd9h4bpE+uC7aLN+vgQV/IVtvJFhrZG6Qyl1YxokNsYBcTemLRMj5bZll60b7yVDFv1r5XfdhP7opRsldYwdjGliyeqvNJ7DdL4Gy8YUBMjUHoVX+kM9WiAAkr/2V7ZkqQ4ivvqr6NxkxCifEaMiuStZgwMvlr5zf4MTB9q8Z6sl8+Lys2oUvb5fJVRpX8t76dqLKo4VXhj67ytc5NK6c7pSdWJ6jsdyhtk7dWLehI+LWzM2EbeA4x9OFLW4omJRDy3iX9f7m+VvYt1TsMMWEi2sdZglaKSE2j89VOilCP2XmpsSmJVEOlSKkX4ihoNM5ROgXMst4Z88eh3Jnl7rSB3Ef2iTj+vM8gTellKb1zDOs2wrDEoGwzLOlbH9M0hyqjOOF2BJKWR5LRqY5pJRruW0U5GtNIhi7Uh7USGHbR0l7TcJi26dJIebdPF5AN0maGLDG3HktssM3Q+QpdDtPUdkSgWj23piOSv7noAOkvT0kkTZd7M6932J6kYxF0MgHOS77pZPmx7l6FPcXxzA9bpiGHf9QuvXZzOKLz+tsjQf/0/3PT//JZR5a0OH78905TsAcFAzWItvPkD+Lu/kGRwe0nqe9330/zX/3yRy997naMX/5jvXn2QrUHMKI8417+Ps6MHyGydmh7RNts0vEeyGG2yEl/laHqRlfgaRomMu1tIyZrNfFEaeB8Qy8qUoWsysjVRSCsJDTbNgIYZoCmlkXfaK8+86oxpWMr6cUbVvuki42cqI1EZlcmA10rJNnNuqHRYDqVkfbx2nkY0lDFPOidRBYkZk6qMo7ULJDr3bYUC5XBuaoQqgyMeDxKCKzS5i6Thd5EIN5yIG8Y2kakp/ODe0hpyF8vnvGcox8b+tfTmndNYp8hcAiiaps+qL+ck46+sNwZODBvFpDSR9kbQzIg0DOUkdFmZ28oIVs2i9UbNVubGMTHM4MhdwrCsUdiIZtTnp1t/J0pNG5E78dwyK+OmRq7GyKaMbY2hrZHZlFEp+0a2RmFjHIp762/xqfp5LIa6GfILiy95Bbb8wonQjGrtRGntRWgah7OWkUsZFjUGRZ3vuy+wae5hZFOyUiqzj8qEcRnL+LRKwaY1kXYksSWNy8m6FuXU45xGNGS51kOX4oXpcoyxQ/HIigGJN2yxG5CkijjWRBEkqSKKNVGsiSOHigx69ShaSwhP+ymyqkVp0EZDkqKSFBWLelEnCTqVfe3lhKThjVll2CKRnVsV0RtJ3mtrO6LbN2xtQrfrvCFz9HqIvN5Z8OtaUtJp5Cy0clk3x3TqYxYaGbUoR1NgiqFI/ptt8Uj/0b9EGyUjH/SMIDBwQ97LQO3v+YBvNT/+Dvz174s65gv/XGbWXH+brf/1Pxj+8Ah/f/kBfnf9P7EweoOy1yWzCW9lx0nUmJ9Z+B6fafwda+lFVpNrtKMupTPkLqKbL9ArW2SujrKOVtSlZbo0zSrv5oe5kq0ydikWw0K0wd2mR90MSXXmq0dMvST8K3yDUzVAWjk/GDQnpiBSOVoVRE6qAkSmIKZAqRLtqjILUnnBYqR0kJoxUtYwQMrkSJWFmFGZkttUGjTbICubbNka4yIhK1O+vf3zOKVlMKrPFUU6J9alSKyVVCmIdU6sx9T0mFrSp24yOnpEzXS9Om9Iw/Q5UrvG3Y2LLEUbUgHClihXgrOS34fJEBXrKqNgvEmJGJR1Lo6OcHF0hMPJVVbrVyceY25jClsZOtnOXULuIvIy9hL/WBSANsYaUTyW3lCWTpNbIxUrcERIPi6pxiKpkoicyDg+u/QDPrf4ih+8bNEUNNQQXOnl0KK8q36Uc07qGarIe6/et7LSmRiXMSObYJ1C+/FluYvIXTKRu2c2pbARY2JGpVTHyGzqw71TQ1gpNivS8gIr7srO58KHTsc2kSEGLsE6CeHKPUwYu4i+rRShlpXkGp87/Cfe88tl7ZdYy/+n0RajLYqIokwZ2RYmk8K5TsFYASbBbY9xcYJTkb9Pzo89s5WvP+l0KL/fUMjfxeYkd41JavlUfj5TSV0DHb/c438r2o+dMyLUKBsJ23mTrbxNt/UpttwK3WHK1pWU7lsp7wxqDMbxVHauElApqDaoI1NL+jdMQ+aeylBVRuvjvN4LY3uwPKh8LHHcYz8lseQ/+C/wvT+jdIZvvf0Q76w3OP2DB3j56oPU1JjFaJNP1V/nvvrrdGKRfI/LhKv5IdbzFQZlg9JpOlGPWGVsFYts5Ets+UGykSpomj6HkiscSd7lcHKZhhli/IOc6GI6Tkf5vrvV5MSUzjDyif3cJYxsjYFt0rdNRmVdGg2bMLR1xtRF7WZT3yD7sJ41PoQnnlg1bCRSueSIdE6qMlqmRzPuU9dDmmbgZd9Dya/oMbEaEyMNThxZ4mpcltMSHrPSyOZWvlsaNePDYJFvMOX6xr4BTVTOLyz9jff+RJYt/4oySNbMhPk01oc7S6mzoCS/ZpQMXjVIaCxSuYyP0uI9OWVQ2kmvXDnpjSvQ2s302H04MJK8mtOGH5lfwsyE3SJV5demIToZvyXXuBBvs5RuTYboyCBX68d8ytqV0mgqX+VDGttSjLI/p1GFmF9dTn5r5DKMHaNtJuEzV/hG2qH8j1BGBqeqqqirN4jOQsl0zFfhPdSChLw05FaK9FZGOysjxqWUsspsRG5TyeG5hLFNGZcRA1unnzcpXEQzGorn6yKvTvW/fTI8yZdQihJQGmWMD8M63xkpiFw2EcXEpuCnl17jS0dfxpkYqyOpVoJ3bGZKXZU6ob/6GUpnWGpl1OOSSXITJh2DHcxO/wHeoAHMVIM//hmR11cGzJd9yl1Md1ijO0rJikj+YqXk6Krc6XTtnzurrt920+dx922/z0qUYHoOhbXiPyPeAAAPyUlEQVRq536/noTSKwPK3LqyLNe9zweyOkrtNFpPPfXRhYX7woNSSp0CrlXbzrkX7sT3XkeciGTzlW9J/unaJTj+adSRE+j+Nn/1/+roos/jh/83qZdZN3WPt7J7uTw6TKxzFuNNPtd6mYVok/VilQujo1zK7mKrXCDVI47V3+RIconl6BoNMyCzKVvlAlv5Eq8P7mN9fIirxRLr41XWi0OMyvpUrDD7fDF9yLVXE+hKK6d9aEpZn6OpGvOqx5kRKUtc9TyV80tVo84HHa3802VWkecttlSdSEk5l0qpV4X/NJIbUT7sJdfgdhxrlJUab6rc0aNuxCPaaoBRObE3LIaC0hmMkvpwGul5S2itMgoSdotUgdEyKDemMk4WrUtiJQ1TqaQCRuTzPBt2iYv5MVRp0bac5H2UEw9T+UG+2uetVDVOzCleGSRSsomduTvx4tTkL1GFTyc5OCSms9zos9bpgVIo7RdvHZVWMu29b/8i3wZGkcNo5RsBh9ZK1nMhL6MKVD7CjLeJ8y7RuEtUyPCASBVEiSHyM/+aJCKKFIYxxon03xw5ilm7l6TMJJdkMx/6ZFJsXMv4ZmwplTZK66ROoK9jKCKSlHG5QFaKEGVYJPSzmOE4pj+WY3KX0mORvlrAFRZXFDIUoJT/E60chbKUdoDLN3DjLt1mh0srNYxxqDgm+8kvEi0uEhtLEpXExpKaEmUMrbsf2Dlw19kPtj15Pbc9O22J347JWEmHrCS7vz85//z2joHFtwfn2MVwiUdeuhsZNr/t0wLV/3npw+iTHDMa+9AvUS7fK7O4lNPx0ndC9X7bDZRS6ingtHPuZb/9jFLqZefcudv93ddx+Tx863c5d9bxh+e+xILZYPXs71Fe/WPyHB6s383V8TLvjlfJyoTPd87wYPNVfvXQ/6UV93lzcA/f7j7KK/2HuZDdzdjJuKaaHuIc9MsWl0aH+Vb5i2wWC/TLJl7I7PNJXo02FweoQlmVjZr0QCu1W1UtAakm4ZwBHIWrjA1Vcyk9VKb7xcBNslE+CV9OFG/TqKLyHV7nw0JeSF7lr9w02CI1+Ob+O5WUrJnmp6Y5qWrXsYV1mmlGlfmayYyJd+E9D+XEEOPXCisTDbLzPeXKyTir7cYxcmqTwrKF9+CcU/6B8g0KdhImwla5KjvxhhR2cu9iU/DFu86glMKqGKtjnIlxJgHte/hxiktF2ywiFfj0pzs8/GBbJnlsH2ecLMjDbbWUnfMPeWmV35a1dWryfllKQdyiet8fu/Nzfns0phz0KXs93KAH13rTkjonPlv9BYR+Am/NKACciDeMzYhshvEem3hu2cSDO3Es4x9/Ibu+4kM+gHxjWv3BWm/cRGE3uP8fsv3AQ4xGfj61IZPXuy2vjODve5ssjM6zOHiDs6//CoXZOfeTUiJiqNVuvNTr/nVDBgKvrn6AduJ2MAk93sSAfcht5SzRzQzuRzXWD2nYozHDd8KD+qpz7hsz2y8CTwJP34Hv3onvtjbuO8o9V9ZZ/OHv8dqVBa5uHyJ1fZxztONNerbFvzn63+nmHdaSi/z++ld4pfcwG8UyCiR/kl6mabZJ1XhS9qVCe69FTZLyzifeC6ojy0mv21Smw4fJNLmLcVZUZgoonKFXdia9+iqEJ8KBeCJCWE43UFSVDKadtkqxB4qfXfweP7vwPblKH06YKt38NppMNSiJJ4Z1XBiyUqTd1sIPx59lu+xID83ntLS2ExHGRCrupq/XzLvUyLzRYy4/Mi04C/j38WaMyfGVTXVVns57Pp+KLkx+t/aqAYloVMfJd4g342SN9xi8qkBpf3b/5ZHK+cUjP/aGsPAhOSnLpJ0oB1Wzjbr3wR1THR0+BIuV/Plnj8Oxu27Jv+/7QWb0sJTX1sVwrXQmPd/ZZbpPUZYR1kaUZfMGx8DKCrC7InyKc1AWqDzD5BkmH5PWGix9wCFDzi2SZYuMRj9zQ0M2b+g2Nqavs2zn+R59FL7ylQ92DbecSXhNwydDgHdHuK0GSil1Apifo/kacPJ2fu8NOXQ3/Nq/Y+3Vl/j1Q2+w9eV/wYMv/SWH1/8K/dYr0sLUGlwp1zDpIn/0489yVF1hvbyL460L/HLtJQ6l6yzoa3SSAbGZ9raVbyylpNDUa5D1LvFeVflRbsfuwheIVgqfs4BhtEBmFiahwKkfNt1GQSPOiLSjLJWXSUe+pp4XBNiI5MgROp2fmpjTyVcrN/GmHDBaPIFNqppultcuLvLjNw6htRjchl6goaMd4UMJSbmJUTbazRhqh1b3+n3eK9IQqdLLpv3nsdNjlMP48KLW4v3JeS1J7EhjSxJDHCuSKCJNHJGuOgTT8+jJOezEm5QfOk2mT9ix7YC7py7u7DG+MebYQ/Clr07f35HncDIT7B1Ea9CJJlo7fEe/F/D5Jl9G6Wb1AN/HaSpP6MNgra8f6A3Zhz1PYO+5rSIJpdRJ4Bnn3Odn9p0Azro5edHx48fd6owffurUKU6dep+l9m8Fo4GUfMkGIqCotyU+cP4VXGFRiyugNOMcen3F8vJMwrFKBs8mJd20wccbm2mDOLeefV3Ft6vPOycDN+L0+mNnE8G7nX+37dV7P1oNsU8ibu4eysb1782uq3uqzXSCvEAg8IHYa5HEIjPiCM/8NgCrq6vs6XxQNd/Trbd29v6OP7wjY5QAy3fyugK3nw+haAoEArefT171wUAgEAh8IrjdBmqT6x2O4IAEAoFA4D253QbqHNeLJBaBl2/z9wYCgUDgY85tNVA3GOu0DOxhsikQCAQCHwfuRA7qWaXU4zPbTwDP3IHvDQQCgcDHmNtuoPwg3RNKqZO+5NGLe1JFIhAIBAIfK+6Iis859w3n3Gnn3HN7VofvI/Dcc8/t9SXse8I9em/CPbo54f68NwftHgWZ+fvgoP1TfBjCPXpvwj26OeH+vDcH7R4FAxUIBAKBfcm+mQ9KKXUFOL/X13EDDgHre30R+5xwj96bcI9uTrg/780n7R4dd87dsNb8vjFQgUAgEAjMEkJ8gUAgENiXBAMVCAQCgX1JMFCBQCAQ2JcEAxUIBAKBfUkwUIFAIBDYl9zuCQs/1vjSTJMJFj+OVTBuJ0qpReA3kAr1P4eUsTpYIwk/AP5+fc059/ReX8t+wt+XU8j0PNeAc865MOPBDL4tAnnWNg/KcxYM1A1QSj0FnK4eFKXUM0qpl0MdwR38xuyDopQ6o5TioDw8H4Kvcf30Mwcab5x+2zn3hN8+BTwGPLmnF7aPUEo95WuaVtsnlVKPH4QOcwjx3ZivzvXiXiQ8NBOUUieQ+b5m+TrhHu2Kv19X9/o69iFfA56tNnznJniYO7l/dsM5dxqJWHziCQZqF3xjMt/TvQac3IPL2a8sAs/P7TsHnNiDa/k48Ahhos7dOOUb3AnOuc29uph9yqO+TQIm7dPZPbyeO0YwULtzAomHz7KJNDIBwHuXX57bvZtXdeBRSp08COGYD0rV6CqlHlFKPV4te31d+5CvA2eUUlUH+ZGDEkYPOajdWWRGHOGZ3z7w7JLIfhJ5mAIen2MJ7M4J5LnarAy4Uuqpg5Jfeb84515QSgG8qJTarWP4iSV4UIFbgu/5ngsNy3WcnA9hBSYsAstzwqPTSF4q4FFKPYIY8yXEoJ85KB2fYKB2ZxNYnts3vx3w+IflMedcEEjM4BuWkHe6Mee4PjJxjhBKn+Cfra/6SV83nXOPAS8Af7rHl3ZHCCG+3TnH9SKJRUJjcyO+FozTrjwKLPrwDIjy6oQfwvBCGLLAOXbvCAaRxJSTiIJ4gnPuaaXUmT26njtKMFC74Jw7N9OoVCwD396Dy9nX+Mb26zPbIaTlmU9k+zDoY7NjWg4yzrlNpdS8B7VIeM7eDwfiGQshvhvz7Jyi6Angmb26mP2Ivz8vVLJgH44I4ZmbE0LFO3lmpkoCiNAmPGdTTiNtzwT/nB2IMXVhwsKb4L2Dl/FqoyAAmOLzK7uFGV6oqgIEpvhG+Enkf+k54OthvI/gn7OKILSZw8vxn0SM0iZc751/UgkGKhAIBAL7khDiCwQCgcC+JBioQCAQCOxLgoEKBAKBwL4kGKhAIBAI7EuCgQoEAoHAviQYqEAgEAjsS4KBCgQCgcC+JBioQCAQCOxLgoEKHAiUUs8rpdxNlrP+OOerZNzp6zszO2vqLu+fnSsJdKu//xGl1IvvfWQgcOcIBipwUHga+LxfHttlX1We6Rvc4Wra3vCc28vq5n7yyeUwo21gPxGqmQcOBLON/8xkby/PzwrsnHv6jl6Y8DRzBUH3iK8jkwWGWniBfUHwoAKBGWZDfP71SaXUi/71GaXUCT8t+Vm/79m5zz8z896L7xUuVEqdhIkHU+074T+74c/1+NxnTviQ5cbMdZ2c+f4zc8efUkptVN/nj3f+85PK4b5I64m9CHEGArsRDFQgcHOeRaZ/+DwyV9FZ4H4kTPg0cGrGODyPTDD3pD/+HDI99w1zS/4883P7nEGm5XiC6fQTs+d40W8/4b/nGvC8f+9/Ao/MTQn+BPA7ft+LyHxLn/fX/9ScATztf0MgsPc458ISlgO1IIbGASd3ec8Bj8y8PjXz3lPyyOw4fgN4HDEYDlice//s7Dl2+b4zc99xav48M+c+NXPMiZn3T85el//Op+Z+6yN+cbt8dnb7GeD5vf4bhSUszrmQgwoE3oNZ4cLm3DaI9wLTiRpfn5uNeRHxVm7E4sw5QLyzl93MXFFOZnie3X7Oh+oeR6aRn/d4XgC+igg+KgHGywBKqReAs0qp04jX9Ttu57xUZ3c5XyCwJ4QQXyBwa7lvbllCQmm3DJ9jqnJfzwJfnjvkWaZhvidnjsXJZJJLSKjvCWDjdsrXA4GPQjBQgcCtoRI5LDvnNqsF+G3g0Zt8bpOd08C/xFwOyeewFv3rk0gI8n7n3Decc/P5K5woFs8xzV095z/7iFLqGX9t33DOPYZ4WU/OfPx+rvcSA4E9IRioQOAW4I3CaUQU8bg3BpVo4ts3+ehpZkKATpR0m8Cf+jDeScTbqcJw12CizFv07z/v982q715Awnun50J4T3kV4iM+RPj43PWdQIxkILDnBAMVCNwivEfyO4jXdAaff5ozEPO8yPU5n1llXqUi/Lb/jpeRkOEzwOv+9WOIB/enM+d4dm5dffZJv5zx13naOTfrQZ3kelVhILAnKOfcXl9DIHCg8WWWnnBzg4Y/4jkfR9R46j0P3vmZrznnbibqCATuGMGDCgT2nmeQCg63BB/2ewafe/oAfA2pJhEI7AuCgQoE9hjn3HNIBYebDeh9X/hzPI9Iy598r+NnPvcIcM3nwAKBfUEI8QUCgUBgXxI8qEAgEAjsS4KBCgQCgcC+JBioQCAQCOxLgoEKBAKBwL4kGKhAIBAI7Ev+P4i1csplr/O7AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x360 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "temporal_var = [col for col in X.columns if col not in basic_features]\n",
    "max_duration = duration.max()\n",
    "min_duration = duration.min()\n",
    "log_T = np.log(T + 1)\n",
    "max_log_T = log_T.max()\n",
    "min_log_T = log_T.min()\n",
    "encounter_num = X.index\n",
    "colors = pl.cm.coolwarm(np.linspace(0, 1, 4), alpha=.8)\n",
    "grid = np.linspace(-1, 12, 50)\n",
    "age = np.log(X[\"Age at hospital admission\"])\n",
    "max_log_age = age.max()\n",
    "min_log_age = age.min()\n",
    "\n",
    "thresholded_bio = {'Hemoglobin gap from baseline ($g/dL$)': 0,\n",
    "                   'Asparate transaminase ($U/L$)': 35,\n",
    "                   'C-reactive protein ($mg/L$)': 5,\n",
    "                   'Unconjugated bilirubin ($\\mu mol/L$)': 10,\n",
    "                   'Platelets ($10^9/L$)': 150,\n",
    "                   'Sodium ($mmol/L$)': 135,\n",
    "                   'White blood cells ($10^9/L$)': 10,\n",
    "                   'Neutrophils ($10^9/L$)': 7.5,\n",
    "                   'Eosinophils ($10^9/L$)': 0.1}\n",
    "\n",
    "def plot_threshold(col):\n",
    "    try:\n",
    "        threshold = thresholded_bio[col]\n",
    "    except:\n",
    "        threshold = ''\n",
    "    if threshold != '':\n",
    "        ax.axhline(threshold, c='g', ls='--', alpha=.8, lw=1, label=r\"$%s$\" % threshold)\n",
    "        ax.legend(fontsize=15)\n",
    "        \n",
    "        if col == 'Eosinophils ($10^9/L$)':\n",
    "            threshold = 0.5\n",
    "            ax.axhline(threshold, c='b', ls='--', alpha=.8, lw=1, label=r\"$%s$\" % threshold)\n",
    "            ax.legend(fontsize=15)\n",
    "        \n",
    "threshold_plot = {'Hemoglobin gap from baseline ($g/dL$)': [[\"above\", [0]]],\n",
    "                  'Asparate transaminase ($U/L$)': [[\"above\", [35]]],\n",
    "                  'C-reactive protein ($mg/L$)': [[\"below\", [90, 95, 100, 150, 200, 250]],\n",
    "                                                  [\"above\", [5]]],\n",
    "                  'Unconjugated bilirubin ($\\mu mol/L$)': [[\"above\", [10]]],\n",
    "                  'Platelets ($10^9/L$)': [[\"above\", [150]]],\n",
    "                  'Sodium ($mmol/L$)': [[\"above\", [135]]],\n",
    "                  'Eosinophils ($10^9/L$)': [[\"below\", [0.40, 0.32, 0.30]]],\n",
    "                  'Basophils ($10^9/L$)': [[\"below\", [0.10, 0.11]]],\n",
    "                  'Total bilirubin ($\\mu mol/L$)': [[\"above\", [17, 20, 25, 30]]],\n",
    "                  'Direct bilirubin ($\\mu mol/L$)': [[\"above\", [5]]],\n",
    "                  'Unconjugated bilirubin ($\\mu mol/L$)': [[\"above\", [10, 12]]],\n",
    "                  'Temperature ($^\\\\circ C$)': [[\"below\", [37.5, 38, 38.5, 39]]]\n",
    "                 }\n",
    "\n",
    "print(\"Genereting figures...\")\n",
    "tic = time()\n",
    "for col in temporal_var:\n",
    "    print(\"%s\" % col.replace('$', ''))\n",
    "    directory = \"./figures/%s\" % col.split(' (')[0]\n",
    "    try:\n",
    "        os.stat(directory)\n",
    "    except:\n",
    "        os.mkdir(directory)\n",
    "        \n",
    "    nb_points = [0 if type(val) == float else len(val) for val in X[col]]\n",
    "\n",
    "    means = []\n",
    "    interpolation_data = pd.DataFrame(columns=grid)\n",
    "    sex_interp = np.array([])\n",
    "    Y_interp = np.array([])\n",
    "    \n",
    "    fig1 = pl.figure(figsize=(6,5))\n",
    "    fig2 = pl.figure(figsize=(6,5))\n",
    "    fig3 = pl.figure(figsize=(6,5))\n",
    "    fig4 = pl.figure(figsize=(6,5))\n",
    "    fig5 = pl.figure(figsize=(6,5))\n",
    "    fig6 = pl.figure(figsize=(6,5))\n",
    "    \n",
    "    cnt_ghm_1, cnt_ghm_2 = 0, 0\n",
    "    cnt_sex_1, cnt_sex_2 = 0, 0\n",
    "    for i,ts in enumerate(X[col]):\n",
    "        if type(ts) != float:\n",
    "            enc_num = encounter_num[i]\n",
    "            means.append(ts.mean())\n",
    "            start_date = pd.to_datetime(start_dates[enc_num])\n",
    "            new_idx = pd.to_datetime(ts.index) - start_date\n",
    "            new_idx = new_idx / pd.Timedelta('1 day')                \n",
    "            ts_copy = ts.copy()\n",
    "            ts_copy.index = new_idx\n",
    "            \n",
    "            # mode: 'pts_cloud'\n",
    "            pl.figure(fig1.number)\n",
    "            pl.scatter(ts_copy.index, ts_copy, color='k', s=5)\n",
    "\n",
    "            # mode: 'GHM'\n",
    "            pl.figure(fig2.number)\n",
    "            color, label = '', ''\n",
    "            if X['GHM=1'][enc_num] == 1:\n",
    "                color = 'b'\n",
    "                if cnt_ghm_1 == 0:\n",
    "                    label = \"GHM=1\"\n",
    "                cnt_ghm_1 += 1\n",
    "            elif X['GHM=2'][enc_num] == 1:\n",
    "                color = 'r'\n",
    "                if cnt_ghm_2 == 0:\n",
    "                    label = \"GHM=2\"\n",
    "                cnt_ghm_2 += 1\n",
    "            # if id_color not 'nan'\n",
    "            if color != '':\n",
    "                ts_copy.plot(color=color, alpha=.5, label=label)\n",
    "\n",
    "            # mode: 'duration'\n",
    "            pl.figure(fig3.number)\n",
    "            val_duration = duration[enc_num]\n",
    "            duration_level = (val_duration - min_duration)/(max_duration - min_duration)\n",
    "            color = pl.cm.coolwarm_r(duration_level, alpha=.8)\n",
    "            ts_copy.plot(color=color, label=\"\")\n",
    "\n",
    "            # mode: 'T'\n",
    "            pl.figure(fig4.number)\n",
    "            val_delta = delta[enc_num]\n",
    "            if val_delta == 1:\n",
    "                val_T = log_T[enc_num]\n",
    "                T_level = 1 - (val_T - min_log_T)/(max_log_T - min_log_T)\n",
    "                color = pl.cm.coolwarm_r(T_level, alpha=.8)\n",
    "                ts_copy.plot(color=color, label=\"\")\n",
    "                \n",
    "            # mode: 'sex'\n",
    "            pl.figure(fig5.number)\n",
    "            color, label = '', ''\n",
    "            if X.Gender[enc_num] == 1:\n",
    "                color = 'b'\n",
    "                if cnt_sex_1 == 0:\n",
    "                    label = \"Male\"\n",
    "                cnt_sex_1 += 1\n",
    "            else:\n",
    "                color = 'orangered'\n",
    "                if cnt_sex_2 == 0:\n",
    "                    label = \"Female\"\n",
    "                cnt_sex_2 += 1\n",
    "            # if id_color not 'nan'\n",
    "            if color != '':\n",
    "                ts_copy.plot(color=color, alpha=.5, label=label)\n",
    "                \n",
    "            # mode: 'age'\n",
    "            pl.figure(fig6.number)\n",
    "            val_age = age[enc_num]\n",
    "            age_level = (val_age - min_log_age)/(max_log_age - min_log_age)\n",
    "            color = pl.cm.coolwarm(age_level, alpha=.8)\n",
    "            ts_copy.plot(color=color, label=\"\")\n",
    "\n",
    "            # mode: 'average'\n",
    "            if len(new_idx) > 1:\n",
    "                # spline interpolation 1st order\n",
    "                f = interp1d(new_idx, ts_copy, kind='slinear')\n",
    "                xnew = grid.copy()\n",
    "                xnew[(xnew > new_idx.max()) + (xnew < new_idx.min())] = np.nan\n",
    "                y_interp = f(xnew)\n",
    "                interpolation_data = interpolation_data.append(\n",
    "                    pd.Series(y_interp, index=grid), \n",
    "                    ignore_index=True)\n",
    "                sex_interp = np.append(sex_interp, [X.Gender[enc_num]])\n",
    "                Y_interp = np.append(Y_interp, [Y[enc_num]])\n",
    "    \n",
    "    pl.figure(fig1.number)\n",
    "    ax = fig1.add_subplot(111)\n",
    "    ax.tick_params(axis='both', which='major', direction='in',\n",
    "                   labelsize=17)\n",
    "    pl.title(r\"%s point cloud\" % col, fontsize=16)\n",
    "    pl.xlabel('Time (days)', fontsize=15)\n",
    "    plot_threshold(col)\n",
    "    pl.tight_layout()\n",
    "    pl.savefig('%s/pts_cloud.pdf' % directory, bbox_inches='tight')\n",
    "    \n",
    "    pl.figure(fig2.number)\n",
    "    ax = fig2.add_subplot(111)\n",
    "    ax.tick_params(axis='both', which='major', direction='in',\n",
    "                   labelsize=17)\n",
    "    pl.xlabel('Time (days)', fontsize=15)\n",
    "    pl.title(r\"Individual %s\" % col + \"\\n trajectories by GHM\", fontsize=18)\n",
    "    plot_threshold(col)\n",
    "    ax.legend(fontsize=15)\n",
    "    pl.tight_layout()\n",
    "    pl.savefig('%s/GHM.pdf' % directory, bbox_inches='tight')\n",
    "    \n",
    "    pl.figure(fig3.number)\n",
    "    ax = fig3.add_subplot(111)\n",
    "    ax.tick_params(axis='both', which='major', direction='in',\n",
    "                   labelsize=17)\n",
    "    pl.xlabel('Time (days)', fontsize=15)\n",
    "    pl.title(r\"Individual %s\" % col + \"\\n trajectories by hospital stay duration\", fontsize=18)\n",
    "    plot_threshold(col)\n",
    "    ax1 = fig3.add_axes([1.01, 0.13, 0.05, 0.73])\n",
    "    cmap = pl.cm.coolwarm_r\n",
    "    norm = mpl.colors.Normalize(vmin=min_duration, vmax=max_duration)\n",
    "    cb = mpl.colorbar.ColorbarBase(ax1, cmap=cmap,\n",
    "                                   norm=norm)\n",
    "    cb.set_label('Duration (days)', fontsize=15)\n",
    "    ax1.tick_params(labelsize=17)\n",
    "    pl.tight_layout()\n",
    "    pl.savefig('%s/duration.pdf' % directory, bbox_inches='tight')\n",
    "    \n",
    "    pl.figure(fig4.number)\n",
    "    ax = fig4.add_subplot(111)\n",
    "    ax.tick_params(axis='both', which='major', direction='in',\n",
    "                   labelsize=17)\n",
    "    pl.xlabel('Time (days)', fontsize=15)\n",
    "    pl.title(r\"Individual %s\" % col + \"\\n trajectories by readmission delay (T)\", fontsize=18)\n",
    "    plot_threshold(col)\n",
    "    ax1 = fig4.add_axes([1.01, 0.13, 0.05, 0.73])\n",
    "    cmap = pl.cm.coolwarm_r\n",
    "    norm = mpl.colors.LogNorm(vmin=np.exp(min_log_T), \n",
    "                                vmax=np.exp(max_log_T))\n",
    "    cb = mpl.colorbar.ColorbarBase(ax1, cmap=cmap,\n",
    "                                   norm=norm)\n",
    "    cb.set_label('T (days)', fontsize=15)\n",
    "    ax1.tick_params(labelsize=17)\n",
    "    pl.tight_layout()\n",
    "    pl.savefig('%s/T.pdf' % directory, bbox_inches='tight')\n",
    "    \n",
    "    pl.figure(fig5.number)\n",
    "    ax = fig5.add_subplot(111)\n",
    "    ax.tick_params(axis='both', which='major', direction='in',\n",
    "                   labelsize=17)\n",
    "    pl.xlabel('Time (days)', fontsize=15)\n",
    "    pl.title(r\"Individual %s\" % col + \"\\n trajectories by sex\", fontsize=18)\n",
    "    plot_threshold(col)\n",
    "    ax.legend(fontsize=15)\n",
    "    pl.tight_layout()\n",
    "    pl.savefig('%s/gender.pdf' % directory, bbox_inches='tight')\n",
    "        \n",
    "    pl.figure(fig6.number)\n",
    "    ax = fig6.add_subplot(111)\n",
    "    ax.tick_params(axis='both', which='major', direction='in',\n",
    "                   labelsize=17)\n",
    "    pl.xlabel('Time (days)', fontsize=15)\n",
    "    pl.title(r\"Individual %s\" % col + \"\\n trajectories by age\", fontsize=18)\n",
    "    plot_threshold(col)\n",
    "    ax1 = fig6.add_axes([1.01, 0.13, 0.05, 0.73])\n",
    "    cmap = pl.cm.coolwarm\n",
    "    norm = mpl.colors.LogNorm(vmin=np.exp(min_log_age), \n",
    "                                vmax=np.exp(max_log_age))\n",
    "    cb = mpl.colorbar.ColorbarBase(ax1, cmap=cmap,\n",
    "                                   norm=norm)\n",
    "    cb.set_label('Age at hospital admission (years)', fontsize=15)\n",
    "    ax1.tick_params(labelsize=17)\n",
    "    pl.tight_layout()\n",
    "    pl.savefig('%s/age.pdf' % directory, bbox_inches='tight')\n",
    "    \n",
    "    nb_pts = interpolation_data.count()\n",
    "    nb_pts_min = 5\n",
    "    interpolation_data = interpolation_data.ix[:, nb_pts >= nb_pts_min]\n",
    "    grid_ = grid[nb_pts >= nb_pts_min]\n",
    "    \n",
    "    if np.sum(nb_pts >= nb_pts_min) > 0:\n",
    "        # mode:'average'\n",
    "        fig = pl.figure(figsize=(8,5))\n",
    "        ax = pl.subplot2grid((2, 3), (0, 0), rowspan=2, colspan=2)\n",
    "    \n",
    "        mean = interpolation_data.mean(axis=0)\n",
    "        std = interpolation_data.std(axis=0)\n",
    "        nb_pts = interpolation_data.count()\n",
    "        eps = std / np.sqrt(nb_pts) * 1.96\n",
    "        color = 'tomato'\n",
    "        mean.plot(color=color, label='')\n",
    "        pl.fill_between(grid_, mean - eps, mean + eps, color=color, alpha=0.2)\n",
    "        pl.title(r\"%s\" % col + \"\\naverage trajectories\", fontsize=18)\n",
    "        pl.xlabel('Time (days)', fontsize=15)\n",
    "        ax.tick_params(axis='both', which='major', direction='in', labelsize=17)\n",
    "        plot_threshold(col)\n",
    "\n",
    "        ax = pl.subplot2grid((2, 3), (0, 2))\n",
    "        pl.hist(nb_points, bins=15, histtype='bar', color='royalblue', alpha = 0.9)\n",
    "        pl.title(\"Amount of measure points\\n\" + r\"(average=$%.1f$)\" % np.mean(nb_points), fontsize=16)\n",
    "        pl.xlabel(r'$\\string #$ points', fontsize=15) , pl.ylabel(r'$\\string #$ stays', fontsize=15)\n",
    "        ax.tick_params(axis='both', which='major', direction='in',\n",
    "                       labelsize=17)\n",
    "\n",
    "        ax = pl.subplot2grid((2, 3), (1, 2))\n",
    "        pl.hist(means, bins=40, histtype='bar', color='g', alpha = 0.7)\n",
    "        pl.title(\"Mean value distribution\\n\" + r\"(average=$%.1f$)\" % np.mean(means), fontsize=16)\n",
    "        pl.xlabel('mean values', fontsize=15) , pl.ylabel(r'$\\string #$ stays', fontsize=15)\n",
    "        ax.tick_params(axis='both', which='major', direction='in',\n",
    "                       labelsize=17)    \n",
    "        pl.tight_layout()\n",
    "        pl.savefig('%s/average.pdf' % directory, bbox_inches='tight')\n",
    "        \n",
    "        # mode:'average' by sex\n",
    "        fig = pl.figure(figsize=(6,5))\n",
    "        ax = fig.add_subplot(111)\n",
    "        \n",
    "        interpolation_data_ = interpolation_data[sex_interp == 1]\n",
    "        mean = interpolation_data_.mean(axis=0)\n",
    "        std = interpolation_data_.std(axis=0)\n",
    "        nb_pts = interpolation_data_.count()\n",
    "        eps = std / np.sqrt(nb_pts) * 1.96\n",
    "        color = 'b'\n",
    "        mean.plot(color=color, label='Male')\n",
    "        pl.fill_between(grid_, mean - eps, mean + eps, color=color, alpha=0.2)\n",
    "        \n",
    "        interpolation_data_ = interpolation_data[sex_interp == 0]\n",
    "        mean = interpolation_data_.mean(axis=0)\n",
    "        std = interpolation_data_.std(axis=0)\n",
    "        nb_pts = interpolation_data_.count()\n",
    "        eps = std / np.sqrt(nb_pts) * 1.96\n",
    "        color = 'orangered'\n",
    "        mean.plot(color=color, label='Female')\n",
    "        pl.fill_between(grid_, mean - eps, mean + eps, color=color, alpha=0.2)\n",
    "        \n",
    "        pl.title(r\"%s\" % col + \"\\naverage trajectories by sex\", fontsize=18)\n",
    "        pl.xlabel('Time (days)', fontsize=15)\n",
    "        ax.tick_params(axis='both', which='major', direction='in', labelsize=17)\n",
    "        plot_threshold(col)\n",
    "        ax.legend(fontsize=15)\n",
    "        pl.tight_layout()\n",
    "        pl.savefig('%s/averageBySex.pdf' % directory, bbox_inches='tight')\n",
    "        \n",
    "        # mode:'average' by readmission delay D days\n",
    "        D_days = [15, 30]\n",
    "        for D in D_days:\n",
    "            fig = pl.figure(figsize=(6,5))\n",
    "            ax = fig.add_subplot(111)\n",
    "\n",
    "            interpolation_data_ = interpolation_data[Y_interp <= D]\n",
    "            mean = interpolation_data_.mean(axis=0)\n",
    "            std = interpolation_data_.std(axis=0)\n",
    "            nb_pts = interpolation_data_.count()\n",
    "            eps = std / np.sqrt(nb_pts) * 1.96\n",
    "            color = 'orangered'\n",
    "            mean.plot(color=color, label=r'$T \\leq %s$ days' % D)\n",
    "            pl.fill_between(grid_, mean - eps, mean + eps, color=color, alpha=0.2)\n",
    "\n",
    "            interpolation_data_ = interpolation_data[Y_interp > D]\n",
    "            mean = interpolation_data_.mean(axis=0)\n",
    "            std = interpolation_data_.std(axis=0)\n",
    "            nb_pts = interpolation_data_.count()\n",
    "            eps = std / np.sqrt(nb_pts) * 1.96\n",
    "            color = 'b'\n",
    "            mean.plot(color=color, label=r'$T > %s$ days' % D)\n",
    "            pl.fill_between(grid_, mean - eps, mean + eps, color=color, alpha=0.2)\n",
    "\n",
    "            pl.title(r\"%s\" % col + \"\\naverage trajectories by readmission delay\", fontsize=18)\n",
    "            pl.xlabel('Time (days)', fontsize=15)\n",
    "            ax.tick_params(axis='both', which='major', direction='in', labelsize=17)\n",
    "            plot_threshold(col)\n",
    "            ax.legend(fontsize=15)\n",
    "            pl.tight_layout()\n",
    "            pl.savefig('%s/averageByT%s.pdf' % (directory, D), bbox_inches='tight')\n",
    "\n",
    "        try:     \n",
    "            threshold_infos = threshold_plot[col] \n",
    "            for threshold_info in threshold_infos:\n",
    "                way = threshold_info[0]\n",
    "                thresholds = threshold_info[1]\n",
    "                for threshold in thresholds:\n",
    "                    fig = pl.figure(figsize=(6,5))\n",
    "                    ax = fig.add_subplot(111)\n",
    "                    nb_pts = interpolation_data.count()\n",
    "                    if way == \"above\":\n",
    "                        p = (interpolation_data > threshold).sum(0) / nb_pts\n",
    "                    else:\n",
    "                        p = (interpolation_data < threshold).sum(0) / nb_pts\n",
    "                    eps = 1.96 * np.sqrt(p * (1 - p) / nb_pts)\n",
    "                    p *= 100\n",
    "                    eps *= 100\n",
    "                    color = 'mediumorchid'\n",
    "                    p.plot(color=color)\n",
    "                    sup = p + eps\n",
    "                    sup[sup > 100] = 100\n",
    "                    pl.fill_between(grid_, p - eps, sup, color=color, alpha=0.2)\n",
    "                    pl.title(r\"%s: $\\%%$ %s %s\" % (col, way, threshold), fontsize=18)\n",
    "                    pl.xlabel('Time (days)', fontsize=15)\n",
    "                    pl.ylabel(r\"$\\%%$ %s %s\" % (way, threshold), fontsize=15)\n",
    "                    ax.tick_params(axis='both', which='major', direction='in', labelsize=17)\n",
    "                    pl.tight_layout()\n",
    "                    pl.savefig('%s/threshold_%s_%s.pdf' % (directory, way, threshold), \n",
    "                               bbox_inches='tight')\n",
    "        except:\n",
    "            pass\n",
    "\n",
    "tac = time()\n",
    "print(\"Done in %.2f seconds!\" % (tac - tic))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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