analyser.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import pandas as pd\n",
    "from pandas import DataFrame, Series\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.patches as mpatches\n",
    "from matplotlib.legend_handler import HandlerLine2D, HandlerTuple\n",
    "from scipy import stats\n",
    "import sys"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "matrixMalEX=\"data_GG.csv\"\n",
    "matrixMal=\"data_GM.csv\"\n",
    "matrixIt=\"data_L.csv\"\n",
    "n_qty=2 #CAMBIAR SEGUN LA CANTIDAD DE NODOS USADOS\n",
    "n_groups= 2\n",
    "repet = 3 #CAMBIAR EL PRIMER NUMERO SEGUN NUMERO DE EJECUCIONES POR CONFIG\n",
    "\n",
    "p_value = 0.05\n",
    "values = [2, 10, 20, 40]\n",
    "dist_names = ['null', 'BestFit', 'WorstFit']\n",
    "\n",
    "labelsP = [['(2,2)', '(2,10)', '(2,20)', '(2,40)'],['(10,2)', '(10,10)', '(10,20)', '(10,40)'],\n",
    "          ['(20,2)', '(20,10)', '(20,20)', '(20,40)'],['(40,2)', '(40,10)', '(40,20)', '(40,40)']]\n",
    "labelsP_J = ['(2,2)', '(2,10)', '(2,20)', '(2,40)','(10,2)', '(10,10)', '(10,20)', '(10,40)',\n",
    "              '(20,2)', '(20,10)', '(20,20)', '(20,40)','(40,2)', '(40,10)', '(40,20)', '(40,40)']\n",
    "positions = [321, 322, 323, 324, 325]\n",
    "positions_small = [221, 222, 223, 224]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "dfG = pd.read_csv( matrixMalEX )\n",
    "\n",
    "dfG = dfG.drop(columns=dfG.columns[0])\n",
    "dfG['S'] = dfG['N']\n",
    "dfG['N'] = dfG['S'] + dfG['%Async']\n",
    "dfG['%Async'] = (dfG['%Async'] / dfG['N']) * 100\n",
    "\n",
    "if(n_qty == 1):\n",
    "    group = dfG.groupby(['%Async', 'Groups'])['TE']\n",
    "else:        \n",
    "    group = dfG.groupby(['Dist', '%Async', 'Groups'])['TE']\n",
    "\n",
    "#group\n",
    "grouped_aggG = group.agg(['mean'])\n",
    "grouped_aggG.rename(columns={'mean':'TE',}, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "dfM = pd.read_csv( matrixMal )\n",
    "dfM = dfM.drop(columns=dfM.columns[0])\n",
    "\n",
    "dfM['S'] = dfM['N']\n",
    "dfM['N'] = dfM['S'] + dfM['%Async']\n",
    "dfM[\"TR\"] = dfM[\"TC\"] + dfM[\"TS\"] + dfM[\"TA\"]\n",
    "dfM['%Async'] = (dfM['%Async'] / dfM['N']) * 100\n",
    "\n",
    "if(n_qty == 1):\n",
    "    groupM = dfM.groupby(['%Async','NP', 'NS'])['TC', 'TS', 'TA', 'TR']\n",
    "else:\n",
    "    groupM = dfM.groupby(['Dist', '%Async','NP', 'NS'])['TC', 'TS', 'TA', 'TR']\n",
    "\n",
    "#group\n",
    "grouped_aggM = groupM.agg(['mean'])\n",
    "grouped_aggM.columns = grouped_aggM.columns.get_level_values(0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/usuario/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:12: FutureWarning: set_axis currently defaults to operating inplace.\n",
      "This will change in a future version of pandas, use inplace=True to avoid this warning.\n",
      "  if sys.path[0] == '':\n"
     ]
    }
   ],
   "source": [
    "dfL = pd.read_csv( matrixIt )\n",
    "dfL = dfL.drop(columns=dfL.columns[0])\n",
    "\n",
    "if(n_qty == 1):\n",
    "    groupL = dfL[dfL['NS'] != 0].groupby(['Tt', '%Async', 'NP', 'NS'])['Ti', 'To']\n",
    "else:\n",
    "    groupL = dfL[dfL['NS'] != 0].groupby(['Tt', 'Dist', '%Async', 'NP', 'NS'])['Ti', 'To']\n",
    "\n",
    "#group\n",
    "grouped_aggL = groupL.agg(['mean', 'count'])\n",
    "grouped_aggL.columns = grouped_aggL.columns.get_level_values(0)\n",
    "grouped_aggL.set_axis(['Ti', 'Iters', 'To', 'Iters2'], axis='columns')\n",
    "\n",
    "grouped_aggL['Iters'] = np.round(grouped_aggL['Iters']/repet)\n",
    "grouped_aggL['Iters2'] = np.round(grouped_aggL['Iters2']/repet)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "grouped_aggL.to_excel(\"resultL.xlsx\") \n",
    "grouped_aggM.to_excel(\"resultM.xlsx\") \n",
    "grouped_aggG.to_excel(\"resultG.xlsx\") "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "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>N</th>\n",
       "      <th>%Async</th>\n",
       "      <th>Groups</th>\n",
       "      <th>Dist</th>\n",
       "      <th>Matrix</th>\n",
       "      <th>CommTam</th>\n",
       "      <th>Time</th>\n",
       "      <th>Iters</th>\n",
       "      <th>TE</th>\n",
       "      <th>S</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>1000000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>20,40</td>\n",
       "      <td>2,2</td>\n",
       "      <td>100000</td>\n",
       "      <td>1000000</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1,10</td>\n",
       "      <td>24.655622</td>\n",
       "      <td>1000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>1000000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>20,40</td>\n",
       "      <td>2,2</td>\n",
       "      <td>100000</td>\n",
       "      <td>1000000</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1,10</td>\n",
       "      <td>24.614192</td>\n",
       "      <td>1000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>1000000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>20,40</td>\n",
       "      <td>2,2</td>\n",
       "      <td>100000</td>\n",
       "      <td>1000000</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1,10</td>\n",
       "      <td>24.561815</td>\n",
       "      <td>1000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>1000000000</td>\n",
       "      <td>75.0</td>\n",
       "      <td>10,40</td>\n",
       "      <td>1,1</td>\n",
       "      <td>100000</td>\n",
       "      <td>1000000</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1,10</td>\n",
       "      <td>25.073783</td>\n",
       "      <td>250000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>1000000000</td>\n",
       "      <td>75.0</td>\n",
       "      <td>10,40</td>\n",
       "      <td>1,1</td>\n",
       "      <td>100000</td>\n",
       "      <td>1000000</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1,10</td>\n",
       "      <td>24.690559</td>\n",
       "      <td>250000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>475</td>\n",
       "      <td>1000000000</td>\n",
       "      <td>50.0</td>\n",
       "      <td>10,10</td>\n",
       "      <td>2,2</td>\n",
       "      <td>100000</td>\n",
       "      <td>1000000</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1,10</td>\n",
       "      <td>22.716362</td>\n",
       "      <td>500000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>476</td>\n",
       "      <td>1000000000</td>\n",
       "      <td>50.0</td>\n",
       "      <td>10,10</td>\n",
       "      <td>2,2</td>\n",
       "      <td>100000</td>\n",
       "      <td>1000000</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1,10</td>\n",
       "      <td>22.787608</td>\n",
       "      <td>500000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>477</td>\n",
       "      <td>1000000000</td>\n",
       "      <td>50.0</td>\n",
       "      <td>40,20</td>\n",
       "      <td>1,1</td>\n",
       "      <td>100000</td>\n",
       "      <td>1000000</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1,10</td>\n",
       "      <td>26.209435</td>\n",
       "      <td>500000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>478</td>\n",
       "      <td>1000000000</td>\n",
       "      <td>50.0</td>\n",
       "      <td>40,20</td>\n",
       "      <td>1,1</td>\n",
       "      <td>100000</td>\n",
       "      <td>1000000</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1,10</td>\n",
       "      <td>26.113280</td>\n",
       "      <td>500000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>479</td>\n",
       "      <td>1000000000</td>\n",
       "      <td>50.0</td>\n",
       "      <td>40,20</td>\n",
       "      <td>1,1</td>\n",
       "      <td>100000</td>\n",
       "      <td>1000000</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1,10</td>\n",
       "      <td>25.939109</td>\n",
       "      <td>500000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>480 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              N  %Async Groups Dist  Matrix  CommTam  Time Iters         TE  \\\n",
       "0    1000000000     0.0  20,40  2,2  100000  1000000   2.0  1,10  24.655622   \n",
       "1    1000000000     0.0  20,40  2,2  100000  1000000   2.0  1,10  24.614192   \n",
       "2    1000000000     0.0  20,40  2,2  100000  1000000   2.0  1,10  24.561815   \n",
       "3    1000000000    75.0  10,40  1,1  100000  1000000   2.0  1,10  25.073783   \n",
       "4    1000000000    75.0  10,40  1,1  100000  1000000   2.0  1,10  24.690559   \n",
       "..          ...     ...    ...  ...     ...      ...   ...   ...        ...   \n",
       "475  1000000000    50.0  10,10  2,2  100000  1000000   2.0  1,10  22.716362   \n",
       "476  1000000000    50.0  10,10  2,2  100000  1000000   2.0  1,10  22.787608   \n",
       "477  1000000000    50.0  40,20  1,1  100000  1000000   2.0  1,10  26.209435   \n",
       "478  1000000000    50.0  40,20  1,1  100000  1000000   2.0  1,10  26.113280   \n",
       "479  1000000000    50.0  40,20  1,1  100000  1000000   2.0  1,10  25.939109   \n",
       "\n",
       "              S  \n",
       "0    1000000000  \n",
       "1    1000000000  \n",
       "2    1000000000  \n",
       "3     250000000  \n",
       "4     250000000  \n",
       "..          ...  \n",
       "475   500000000  \n",
       "476   500000000  \n",
       "477   500000000  \n",
       "478   500000000  \n",
       "479   500000000  \n",
       "\n",
       "[480 rows x 10 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfG"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "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></th>\n",
       "      <th></th>\n",
       "      <th>TE</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dist</th>\n",
       "      <th>%Async</th>\n",
       "      <th>Groups</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td rowspan=\"5\" valign=\"top\">1,1</td>\n",
       "      <td rowspan=\"5\" valign=\"top\">0.0</td>\n",
       "      <td>10,10</td>\n",
       "      <td>22.484111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>10,2</td>\n",
       "      <td>22.759883</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>10,20</td>\n",
       "      <td>22.714897</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>10,40</td>\n",
       "      <td>23.945593</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2,10</td>\n",
       "      <td>22.787837</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td rowspan=\"5\" valign=\"top\">2,2</td>\n",
       "      <td rowspan=\"5\" valign=\"top\">100.0</td>\n",
       "      <td>20,40</td>\n",
       "      <td>26.541437</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>40,10</td>\n",
       "      <td>25.792615</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>40,2</td>\n",
       "      <td>24.536055</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>40,20</td>\n",
       "      <td>27.124025</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>40,40</td>\n",
       "      <td>27.393826</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>160 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                           TE\n",
       "Dist %Async Groups           \n",
       "1,1  0.0    10,10   22.484111\n",
       "            10,2    22.759883\n",
       "            10,20   22.714897\n",
       "            10,40   23.945593\n",
       "            2,10    22.787837\n",
       "...                       ...\n",
       "2,2  100.0  20,40   26.541437\n",
       "            40,10   25.792615\n",
       "            40,2    24.536055\n",
       "            40,20   27.124025\n",
       "            40,40   27.393826\n",
       "\n",
       "[160 rows x 1 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grouped_aggG"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "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>N</th>\n",
       "      <th>%Async</th>\n",
       "      <th>NP</th>\n",
       "      <th>NS</th>\n",
       "      <th>Dist</th>\n",
       "      <th>Matrix</th>\n",
       "      <th>CommTam</th>\n",
       "      <th>Time</th>\n",
       "      <th>Iters</th>\n",
       "      <th>TC</th>\n",
       "      <th>TS</th>\n",
       "      <th>TA</th>\n",
       "      <th>S</th>\n",
       "      <th>TR</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>1000000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>20</td>\n",
       "      <td>40</td>\n",
       "      <td>2,2</td>\n",
       "      <td>100000</td>\n",
       "      <td>1000000</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1,10</td>\n",
       "      <td>1.380795</td>\n",
       "      <td>1.179880</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1000000000</td>\n",
       "      <td>2.560675</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>1000000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>20</td>\n",
       "      <td>40</td>\n",
       "      <td>2,2</td>\n",
       "      <td>100000</td>\n",
       "      <td>1000000</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1,10</td>\n",
       "      <td>1.444811</td>\n",
       "      <td>1.031978</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1000000000</td>\n",
       "      <td>2.476789</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>1000000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>20</td>\n",
       "      <td>40</td>\n",
       "      <td>2,2</td>\n",
       "      <td>100000</td>\n",
       "      <td>1000000</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1,10</td>\n",
       "      <td>1.429329</td>\n",
       "      <td>1.019891</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1000000000</td>\n",
       "      <td>2.449220</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>1000000000</td>\n",
       "      <td>75.0</td>\n",
       "      <td>10</td>\n",
       "      <td>40</td>\n",
       "      <td>1,1</td>\n",
       "      <td>100000</td>\n",
       "      <td>1000000</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1,10</td>\n",
       "      <td>1.275007</td>\n",
       "      <td>0.159546</td>\n",
       "      <td>3.739863</td>\n",
       "      <td>250000000</td>\n",
       "      <td>5.174416</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>1000000000</td>\n",
       "      <td>75.0</td>\n",
       "      <td>10</td>\n",
       "      <td>40</td>\n",
       "      <td>1,1</td>\n",
       "      <td>100000</td>\n",
       "      <td>1000000</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1,10</td>\n",
       "      <td>1.218877</td>\n",
       "      <td>0.136006</td>\n",
       "      <td>3.434968</td>\n",
       "      <td>250000000</td>\n",
       "      <td>4.789851</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>475</td>\n",
       "      <td>1000000000</td>\n",
       "      <td>50.0</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>2,2</td>\n",
       "      <td>100000</td>\n",
       "      <td>1000000</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1,10</td>\n",
       "      <td>0.550302</td>\n",
       "      <td>0.039950</td>\n",
       "      <td>2.183129</td>\n",
       "      <td>500000000</td>\n",
       "      <td>2.773381</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>476</td>\n",
       "      <td>1000000000</td>\n",
       "      <td>50.0</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>2,2</td>\n",
       "      <td>100000</td>\n",
       "      <td>1000000</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1,10</td>\n",
       "      <td>0.565259</td>\n",
       "      <td>0.041073</td>\n",
       "      <td>2.220328</td>\n",
       "      <td>500000000</td>\n",
       "      <td>2.826660</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>477</td>\n",
       "      <td>1000000000</td>\n",
       "      <td>50.0</td>\n",
       "      <td>40</td>\n",
       "      <td>20</td>\n",
       "      <td>1,1</td>\n",
       "      <td>100000</td>\n",
       "      <td>1000000</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1,10</td>\n",
       "      <td>1.126832</td>\n",
       "      <td>0.377649</td>\n",
       "      <td>4.985516</td>\n",
       "      <td>500000000</td>\n",
       "      <td>6.489997</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>478</td>\n",
       "      <td>1000000000</td>\n",
       "      <td>50.0</td>\n",
       "      <td>40</td>\n",
       "      <td>20</td>\n",
       "      <td>1,1</td>\n",
       "      <td>100000</td>\n",
       "      <td>1000000</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1,10</td>\n",
       "      <td>1.136094</td>\n",
       "      <td>0.399998</td>\n",
       "      <td>4.883929</td>\n",
       "      <td>500000000</td>\n",
       "      <td>6.420021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>479</td>\n",
       "      <td>1000000000</td>\n",
       "      <td>50.0</td>\n",
       "      <td>40</td>\n",
       "      <td>20</td>\n",
       "      <td>1,1</td>\n",
       "      <td>100000</td>\n",
       "      <td>1000000</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1,10</td>\n",
       "      <td>1.100109</td>\n",
       "      <td>0.345791</td>\n",
       "      <td>4.765733</td>\n",
       "      <td>500000000</td>\n",
       "      <td>6.211633</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>480 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              N  %Async  NP  NS Dist  Matrix  CommTam  Time Iters        TC  \\\n",
       "0    1000000000     0.0  20  40  2,2  100000  1000000   2.0  1,10  1.380795   \n",
       "1    1000000000     0.0  20  40  2,2  100000  1000000   2.0  1,10  1.444811   \n",
       "2    1000000000     0.0  20  40  2,2  100000  1000000   2.0  1,10  1.429329   \n",
       "3    1000000000    75.0  10  40  1,1  100000  1000000   2.0  1,10  1.275007   \n",
       "4    1000000000    75.0  10  40  1,1  100000  1000000   2.0  1,10  1.218877   \n",
       "..          ...     ...  ..  ..  ...     ...      ...   ...   ...       ...   \n",
       "475  1000000000    50.0  10  10  2,2  100000  1000000   2.0  1,10  0.550302   \n",
       "476  1000000000    50.0  10  10  2,2  100000  1000000   2.0  1,10  0.565259   \n",
       "477  1000000000    50.0  40  20  1,1  100000  1000000   2.0  1,10  1.126832   \n",
       "478  1000000000    50.0  40  20  1,1  100000  1000000   2.0  1,10  1.136094   \n",
       "479  1000000000    50.0  40  20  1,1  100000  1000000   2.0  1,10  1.100109   \n",
       "\n",
       "           TS        TA           S        TR  \n",
       "0    1.179880  0.000000  1000000000  2.560675  \n",
       "1    1.031978  0.000000  1000000000  2.476789  \n",
       "2    1.019891  0.000000  1000000000  2.449220  \n",
       "3    0.159546  3.739863   250000000  5.174416  \n",
       "4    0.136006  3.434968   250000000  4.789851  \n",
       "..        ...       ...         ...       ...  \n",
       "475  0.039950  2.183129   500000000  2.773381  \n",
       "476  0.041073  2.220328   500000000  2.826660  \n",
       "477  0.377649  4.985516   500000000  6.489997  \n",
       "478  0.399998  4.883929   500000000  6.420021  \n",
       "479  0.345791  4.765733   500000000  6.211633  \n",
       "\n",
       "[480 rows x 14 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfM"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "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></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>TC</th>\n",
       "      <th>TS</th>\n",
       "      <th>TA</th>\n",
       "      <th>TR</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dist</th>\n",
       "      <th>%Async</th>\n",
       "      <th>NP</th>\n",
       "      <th>NS</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td rowspan=\"5\" valign=\"top\">1,1</td>\n",
       "      <td rowspan=\"5\" valign=\"top\">0.0</td>\n",
       "      <td rowspan=\"4\" valign=\"top\">2</td>\n",
       "      <td>2</td>\n",
       "      <td>0.241944</td>\n",
       "      <td>0.327792</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.569736</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>10</td>\n",
       "      <td>0.303633</td>\n",
       "      <td>0.438643</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.742276</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20</td>\n",
       "      <td>0.440566</td>\n",
       "      <td>0.502550</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.943115</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>40</td>\n",
       "      <td>0.973248</td>\n",
       "      <td>0.625712</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.598960</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>10</td>\n",
       "      <td>2</td>\n",
       "      <td>0.266382</td>\n",
       "      <td>0.420096</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.686478</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td rowspan=\"5\" valign=\"top\">2,2</td>\n",
       "      <td rowspan=\"5\" valign=\"top\">100.0</td>\n",
       "      <td>20</td>\n",
       "      <td>40</td>\n",
       "      <td>1.398970</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>5.048009</td>\n",
       "      <td>6.446979</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td rowspan=\"4\" valign=\"top\">40</td>\n",
       "      <td>2</td>\n",
       "      <td>0.614688</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.868392</td>\n",
       "      <td>4.483079</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>10</td>\n",
       "      <td>1.019837</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>4.705335</td>\n",
       "      <td>5.725172</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20</td>\n",
       "      <td>1.385920</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>5.640753</td>\n",
       "      <td>7.026673</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>40</td>\n",
       "      <td>1.477186</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>5.811504</td>\n",
       "      <td>7.288690</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>160 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                         TC        TS        TA        TR\n",
       "Dist %Async NP NS                                        \n",
       "1,1  0.0    2  2   0.241944  0.327792  0.000000  0.569736\n",
       "               10  0.303633  0.438643  0.000000  0.742276\n",
       "               20  0.440566  0.502550  0.000000  0.943115\n",
       "               40  0.973248  0.625712  0.000000  1.598960\n",
       "            10 2   0.266382  0.420096  0.000000  0.686478\n",
       "...                     ...       ...       ...       ...\n",
       "2,2  100.0  20 40  1.398970  0.000000  5.048009  6.446979\n",
       "            40 2   0.614688  0.000000  3.868392  4.483079\n",
       "               10  1.019837  0.000000  4.705335  5.725172\n",
       "               20  1.385920  0.000000  5.640753  7.026673\n",
       "               40  1.477186  0.000000  5.811504  7.288690\n",
       "\n",
       "[160 rows x 4 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grouped_aggM"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "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>N</th>\n",
       "      <th>%Async</th>\n",
       "      <th>NP</th>\n",
       "      <th>N_par</th>\n",
       "      <th>NS</th>\n",
       "      <th>Dist</th>\n",
       "      <th>Compute_tam</th>\n",
       "      <th>Comm_tam</th>\n",
       "      <th>Time</th>\n",
       "      <th>Iters</th>\n",
       "      <th>Ti</th>\n",
       "      <th>Tt</th>\n",
       "      <th>To</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>1000000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>40</td>\n",
       "      <td>20</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>100000</td>\n",
       "      <td>1000000</td>\n",
       "      <td>2.0</td>\n",
       "      <td>10</td>\n",
       "      <td>2.039676</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2242.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>1000000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>40</td>\n",
       "      <td>20</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>100000</td>\n",
       "      <td>1000000</td>\n",
       "      <td>2.0</td>\n",
       "      <td>10</td>\n",
       "      <td>2.002848</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2242.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>1000000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>40</td>\n",
       "      <td>20</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>100000</td>\n",
       "      <td>1000000</td>\n",
       "      <td>2.0</td>\n",
       "      <td>10</td>\n",
       "      <td>2.002108</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2242.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>1000000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>40</td>\n",
       "      <td>20</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>100000</td>\n",
       "      <td>1000000</td>\n",
       "      <td>2.0</td>\n",
       "      <td>10</td>\n",
       "      <td>2.002966</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2242.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>1000000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>40</td>\n",
       "      <td>20</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>100000</td>\n",
       "      <td>1000000</td>\n",
       "      <td>2.0</td>\n",
       "      <td>10</td>\n",
       "      <td>2.003438</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2242.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5275</td>\n",
       "      <td>1000000000</td>\n",
       "      <td>50.0</td>\n",
       "      <td>20</td>\n",
       "      <td>40</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>100000</td>\n",
       "      <td>1000000</td>\n",
       "      <td>2.0</td>\n",
       "      <td>10</td>\n",
       "      <td>2.000410</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2241.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5276</td>\n",
       "      <td>1000000000</td>\n",
       "      <td>50.0</td>\n",
       "      <td>20</td>\n",
       "      <td>40</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>100000</td>\n",
       "      <td>1000000</td>\n",
       "      <td>2.0</td>\n",
       "      <td>10</td>\n",
       "      <td>2.000693</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2241.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5277</td>\n",
       "      <td>1000000000</td>\n",
       "      <td>50.0</td>\n",
       "      <td>20</td>\n",
       "      <td>40</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>100000</td>\n",
       "      <td>1000000</td>\n",
       "      <td>2.0</td>\n",
       "      <td>10</td>\n",
       "      <td>2.000654</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2241.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5278</td>\n",
       "      <td>1000000000</td>\n",
       "      <td>50.0</td>\n",
       "      <td>20</td>\n",
       "      <td>40</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>100000</td>\n",
       "      <td>1000000</td>\n",
       "      <td>2.0</td>\n",
       "      <td>10</td>\n",
       "      <td>2.000830</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2241.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5279</td>\n",
       "      <td>1000000000</td>\n",
       "      <td>50.0</td>\n",
       "      <td>20</td>\n",
       "      <td>40</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>100000</td>\n",
       "      <td>1000000</td>\n",
       "      <td>2.0</td>\n",
       "      <td>10</td>\n",
       "      <td>2.000683</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2241.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5280 rows × 13 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               N  %Async  NP  N_par  NS  Dist  Compute_tam  Comm_tam  Time  \\\n",
       "0     1000000000     0.0  40     20   0     2       100000   1000000   2.0   \n",
       "1     1000000000     0.0  40     20   0     2       100000   1000000   2.0   \n",
       "2     1000000000     0.0  40     20   0     2       100000   1000000   2.0   \n",
       "3     1000000000     0.0  40     20   0     2       100000   1000000   2.0   \n",
       "4     1000000000     0.0  40     20   0     2       100000   1000000   2.0   \n",
       "...          ...     ...  ..    ...  ..   ...          ...       ...   ...   \n",
       "5275  1000000000    50.0  20     40   0     1       100000   1000000   2.0   \n",
       "5276  1000000000    50.0  20     40   0     1       100000   1000000   2.0   \n",
       "5277  1000000000    50.0  20     40   0     1       100000   1000000   2.0   \n",
       "5278  1000000000    50.0  20     40   0     1       100000   1000000   2.0   \n",
       "5279  1000000000    50.0  20     40   0     1       100000   1000000   2.0   \n",
       "\n",
       "      Iters        Ti   Tt      To  \n",
       "0        10  2.039676  0.0  2242.0  \n",
       "1        10  2.002848  0.0  2242.0  \n",
       "2        10  2.002108  0.0  2242.0  \n",
       "3        10  2.002966  0.0  2242.0  \n",
       "4        10  2.003438  0.0  2242.0  \n",
       "...     ...       ...  ...     ...  \n",
       "5275     10  2.000410  0.0  2241.0  \n",
       "5276     10  2.000693  0.0  2241.0  \n",
       "5277     10  2.000654  0.0  2241.0  \n",
       "5278     10  2.000830  0.0  2241.0  \n",
       "5279     10  2.000683  0.0  2241.0  \n",
       "\n",
       "[5280 rows x 13 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfL"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "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></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>Ti</th>\n",
       "      <th>Iters</th>\n",
       "      <th>To</th>\n",
       "      <th>Iters2</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tt</th>\n",
       "      <th>Dist</th>\n",
       "      <th>%Async</th>\n",
       "      <th>NP</th>\n",
       "      <th>NS</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td rowspan=\"5\" valign=\"top\">0.0</td>\n",
       "      <td rowspan=\"5\" valign=\"top\">1</td>\n",
       "      <td rowspan=\"5\" valign=\"top\">0.0</td>\n",
       "      <td rowspan=\"4\" valign=\"top\">2</td>\n",
       "      <td>2</td>\n",
       "      <td>1.999980</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2241.666667</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>10</td>\n",
       "      <td>2.000285</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2241.666667</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20</td>\n",
       "      <td>1.999927</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2241.666667</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>40</td>\n",
       "      <td>2.000288</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2242.000000</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>10</td>\n",
       "      <td>2</td>\n",
       "      <td>2.001407</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2241.333333</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td rowspan=\"5\" valign=\"top\">1.0</td>\n",
       "      <td rowspan=\"5\" valign=\"top\">2</td>\n",
       "      <td rowspan=\"5\" valign=\"top\">100.0</td>\n",
       "      <td>20</td>\n",
       "      <td>40</td>\n",
       "      <td>4.980324</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2242.000000</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td rowspan=\"4\" valign=\"top\">40</td>\n",
       "      <td>2</td>\n",
       "      <td>3.862025</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2242.000000</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>10</td>\n",
       "      <td>4.664625</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2241.333333</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20</td>\n",
       "      <td>5.541510</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2241.666667</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>40</td>\n",
       "      <td>5.728025</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2241.666667</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>288 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                             Ti  Iters           To  Iters2\n",
       "Tt  Dist %Async NP NS                                      \n",
       "0.0 1    0.0    2  2   1.999980    1.0  2241.666667     1.0\n",
       "                   10  2.000285    1.0  2241.666667     1.0\n",
       "                   20  1.999927    1.0  2241.666667     1.0\n",
       "                   40  2.000288    1.0  2242.000000     1.0\n",
       "                10 2   2.001407    1.0  2241.333333     1.0\n",
       "...                         ...    ...          ...     ...\n",
       "1.0 2    100.0  20 40  4.980324    1.0  2242.000000     1.0\n",
       "                40 2   3.862025    1.0  2242.000000     1.0\n",
       "                   10  4.664625    1.0  2241.333333     1.0\n",
       "                   20  5.541510    1.0  2241.666667     1.0\n",
       "                   40  5.728025    1.0  2241.666667     1.0\n",
       "\n",
       "[288 rows x 4 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grouped_aggL"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "TIEMPO EJECUCCION\n",
      "Distribución BestFit -------------------------\n",
      "Para  2  padres\n",
      "EX numC= 2 p = 0.0 Diff = 0.302 Asíncrono\n",
      "EX numC= 10 p = 0.0 Diff = 0.434 Asíncrono\n",
      "EX numC= 20 p = 0.0 Diff = 0.467 Asíncrono\n",
      "Para  10  padres\n",
      "EX numC= 2 p = 0.0 Diff = 0.458 Asíncrono\n",
      "EX numC= 10 p = 0.034 Diff = 0.072 Asíncrono\n",
      "EX numC= 20 p = 0.025 Diff = 0.117 Asíncrono\n",
      "Para  20  padres\n",
      "EX numC= 2 p = 0.0 Diff = 0.488 Asíncrono\n",
      "EX numC= 20 p = 0.043 Diff = 0.224 Síncrono\n",
      "EX numC= 40 p = 0.0 Diff = 1.514 Síncrono\n",
      "Para  40  padres\n",
      "EX numC= 2 p = 0.006 Diff = 0.786 Síncrono\n",
      "EX numC= 10 p = 0.0 Diff = 1.678 Síncrono\n",
      "EX numC= 20 p = 0.0 Diff = 1.737 Síncrono\n",
      "EX numC= 40 p = 0.0 Diff = 2.866 Síncrono\n",
      "Distribución WorstFit -------------------------\n",
      "Para  2  padres\n",
      "EX numC= 2 p = 0.001 Diff = 0.324 Asíncrono\n",
      "EX numC= 10 p = 0.001 Diff = 0.422 Asíncrono\n",
      "EX numC= 40 p = 0.046 Diff = 0.301 Asíncrono\n",
      "Para  10  padres\n",
      "EX numC= 2 p = 0.001 Diff = 0.348 Asíncrono\n",
      "EX numC= 10 p = 0.04 Diff = 0.152 Síncrono\n",
      "EX numC= 20 p = 0.001 Diff = 1.532 Síncrono\n",
      "EX numC="
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/usuario/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:12: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
      "  if sys.path[0] == '':\n",
      "/home/usuario/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:13: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
      "  del sys.path[0]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " 40 p = 0.001 Diff = 1.496 Síncrono\n",
      "Para  20  padres\n",
      "EX numC= 2 p = 0.02 Diff = 0.945 Síncrono\n",
      "EX numC= 10 p = 0.0 Diff = 1.732 Síncrono\n",
      "EX numC= 20 p = 0.003 Diff = 2.748 Síncrono\n",
      "EX numC= 40 p = 0.0 Diff = 1.931 Síncrono\n",
      "Para  40  padres\n",
      "EX numC= 2 p = 0.04 Diff = 0.636 Síncrono\n",
      "EX numC= 10 p = 0.0 Diff = 1.818 Síncrono\n",
      "EX numC= 20 p = 0.0 Diff = 2.432 Síncrono\n",
      "EX numC= 40 p = 0.0 Diff = 2.902 Síncrono\n",
      "SINC: 18 || ASINC: 14\n"
     ]
    }
   ],
   "source": [
    "print(\"TIEMPO EJECUCCION\")\n",
    "sinc = 0\n",
    "asinc = 0\n",
    "for dist in [1,2]:\n",
    "    print(\"Distribución \" + dist_names[dist] + \" -------------------------\")\n",
    "    dist_v = str(dist)+\",\"+str(dist)\n",
    "    for numP in values:\n",
    "        print(\"Para \", numP, \" padres\")\n",
    "        for numC in values:\n",
    "            #if numP != numC:\n",
    "                group = str(numP) + \",\" + str(numC)\n",
    "                v1 = dfG[(dfG[\"%Async\"] == 0.0)][(dfG.Groups == group)][(dfG[\"Dist\"] == dist_v)]['TE']\n",
    "                v2 = dfG[(dfG[\"%Async\"] == 100.0)][(dfG.Groups == group)][(dfG[\"Dist\"] == dist_v)]['TE']\n",
    "                res = stats.ttest_ind(v1, v2)\n",
    "                diff = grouped_aggG['TE'].loc[(dist_v, 0.0, group)] - grouped_aggG['TE'].loc[(dist_v, 100.0, group)]\n",
    "                if diff > 0:\n",
    "                    mejor = \"Asíncrono\"\n",
    "                    asinc+=1\n",
    "                else:\n",
    "                    mejor = \"Síncrono\"\n",
    "                    sinc+=1\n",
    "                    \n",
    "                if res[1] < p_value:\n",
    "                    print(\"EX numC=\", numC, \"p =\", round(res[1],3), \"Diff =\", abs(round(diff,3)), mejor)\n",
    "print(\"SINC: \" + str(sinc) + \" || ASINC: \" + str(asinc))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "TIEMPO MALLEABILITY\n",
      "Distribución BestFit -------------------------\n",
      "Para  2  padres\n",
      "TR numC= 2 p = 0.0 Diff = 1.686 Síncrono\n",
      "TR numC= 10 p = 0.0 Diff = 1.572 Síncrono\n",
      "TR numC= 20 p = 0.0 Diff = 1.508 Síncrono\n",
      "TR numC= 40 p = 0.0 Diff = 1.698 Síncrono\n",
      "Para  10  padres\n",
      "TR numC= 2 p = 0.0 Diff = 1.589 Síncrono\n",
      "TR numC= 10 p = 0.0 Diff = 1.928 Síncrono\n",
      "TR numC= 20 p = 0.0 Diff = 1.891 Síncrono\n",
      "TR numC= 40 p = 0.005 Diff = 2.69 Síncrono\n",
      "Para  20  padres\n",
      "TR numC= 2 p = 0.0 Diff = 1.525 Síncrono\n",
      "TR numC= 10 p = 0.0 Diff = 2.013 Síncrono\n",
      "TR numC= 20 p = 0.0 Diff = 2.244 Síncrono\n",
      "TR numC= 40 p = 0.0 Diff = 3.538 Síncrono\n",
      "Para  40  padres\n",
      "TR numC= 2 p = 0.0 Diff = 2.815 Síncrono\n",
      "TR numC= 10 p = 0.0 Diff = 3.669 Síncrono\n",
      "TR numC= 20 p = 0.0 Diff = 3.853 Síncrono\n",
      "TR numC= 40 p = 0.0 Diff = 4.887 Síncrono\n",
      "Distribución WorstFit -------------------------\n",
      "Para  2  padres\n",
      "TR numC= 2 p = 0.0 Diff = 1.683 Síncrono\n",
      "TR numC= 10 p = 0.0 Diff = 1.581 Síncrono\n",
      "TR numC= 20 p = 0.0 Diff = 2.01 Síncrono\n",
      "TR numC= 40 p = 0.0 Diff = 1.736 Síncrono\n",
      "Para  10  padres\n",
      "TR numC="
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/usuario/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:9: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
      "  if __name__ == '__main__':\n",
      "/home/usuario/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:10: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
      "  # Remove the CWD from sys.path while we load stuff.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " 2 p = 0.0 Diff = 1.653 Síncrono\n",
      "TR numC= 10 p = 0.0 Diff = 2.145 Síncrono\n",
      "TR numC= 20 p = 0.0 Diff = 3.5 Síncrono\n",
      "TR numC= 40 p = 0.0 Diff = 3.493 Síncrono\n",
      "Para  20  padres\n",
      "TR numC= 2 p = 0.0 Diff = 2.971 Síncrono\n",
      "TR numC= 10 p = 0.0 Diff = 3.742 Síncrono\n",
      "TR numC= 20 p = 0.0 Diff = 4.677 Síncrono\n",
      "TR numC= 40 p = 0.0 Diff = 3.971 Síncrono\n",
      "Para  40  padres\n",
      "TR numC= 2 p = 0.0 Diff = 2.675 Síncrono\n",
      "TR numC= 10 p = 0.0 Diff = 3.786 Síncrono\n",
      "TR numC= 20 p = 0.0 Diff = 4.418 Síncrono\n",
      "TR numC= 40 p = 0.0 Diff = 4.924 Síncrono\n"
     ]
    }
   ],
   "source": [
    "print(\"TIEMPO MALLEABILITY\")\n",
    "for dist in [1,2]:\n",
    "    print(\"Distribución \" + dist_names[dist] + \" -------------------------\")\n",
    "    dist_v = str(dist)+\",\"+str(dist)\n",
    "    for numP in values:\n",
    "        print(\"Para \", numP, \" padres\")\n",
    "        for numC in values:\n",
    "            #if numP != numC:\n",
    "                v1 = dfM[(dfM[\"%Async\"] == 0.0)][(dfM.NP == numP)][(dfM.NS == numC)][(dfM[\"Dist\"] == dist_v)]['TS']\n",
    "                v2 = dfM[(dfM[\"%Async\"] == 100.0)][(dfM.NP == numP)][(dfM.NS == numC)][(dfM[\"Dist\"] == dist_v)]['TA']\n",
    "                res = stats.ttest_ind(v1, v2)\n",
    "                diff = grouped_aggM['TS'].loc[(dist_v, 0.0, numP, numC)] - grouped_aggM['TA'].loc[(dist_v, 100.0, numP, numC)]\n",
    "                if diff > 0:\n",
    "                    mejor = \"Asíncrono\"\n",
    "                else:\n",
    "                    mejor = \"Síncrono\"\n",
    "                if res[1] < p_value:\n",
    "                    print(\"TR numC=\", numC, \"p =\", round(res[1],3), \"Diff =\", abs(round(diff,3)), mejor)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "TIEMPO Iters\n",
      "Distribución BestFit -------------------------\n",
      "Para  2  padres\n",
      "Para  10  padres\n",
      "Para  20  padres\n",
      "Ti numC= 20 p = 0.014 Diff = 0.3159 Síncrono\n",
      "Ti numC= 40 p = 0.0 Diff = 2.1203 Síncrono\n",
      "Para  40  padres\n",
      "Ti numC= 2 p = 0.002 Diff = 1.5824 Síncrono\n",
      "Ti numC= 10 p = 0.0 Diff = 2.3873 Síncrono\n",
      "Ti numC= 20 p = 0.0 Diff = 2.5714 Síncrono\n",
      "Ti numC= 40 p = 0.005 Diff = 3.8153 Síncrono\n",
      "Distribución WorstFit -------------------------\n",
      "Para  2  padres\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/usuario/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:12: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
      "  if sys.path[0] == '':\n",
      "/home/usuario/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:13: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
      "  del sys.path[0]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Ti numC= 20 p = 0.007 Diff = 0.6198 Síncrono\n",
      "Ti numC= 40 p = 0.006 Diff = 0.7004 Síncrono\n",
      "Para  10  padres\n",
      "Ti numC= 10 p = 0.023 Diff = 0.231 Síncrono\n",
      "Ti numC= 20 p = 0.0 Diff = 2.163 Síncrono\n",
      "Ti numC= 40 p = 0.002 Diff = 2.1709 Síncrono\n",
      "Para  20  padres\n",
      "Ti numC= 2 p = 0.004 Diff = 2.0084 Síncrono\n",
      "Ti numC= 10 p = 0.0 Diff = 2.477 Síncrono\n",
      "Ti numC= 20 p = 0.013 Diff = 3.3594 Síncrono\n",
      "Ti numC= 40 p = 0.001 Diff = 2.9773 Síncrono\n",
      "Para  40  padres\n",
      "Ti numC= 2 p = 0.004 Diff = 1.8585 Síncrono\n",
      "Ti numC= 10 p = 0.0 Diff = 2.6598 Síncrono\n",
      "Ti numC= 20 p = 0.003 Diff = 3.5383 Síncrono\n",
      "Ti numC= 40 p = 0.002 Diff = 3.7241 Síncrono\n"
     ]
    }
   ],
   "source": [
    "print(\"TIEMPO Iters\")\n",
    "for dist in [1,2]:\n",
    "    print(\"Distribución \" + dist_names[dist] + \" -------------------------\")\n",
    "    dist_v = str(dist)+\",\"+str(dist)\n",
    "    for numP in values:\n",
    "        print(\"Para \", numP, \" padres\")\n",
    "        for numC in values:\n",
    "            #if numP != numC:\n",
    "                #exp = dfL[(dfL[\"Tt\"] == 0)][(dfL[\"Dist\"] == 1)][(dfL[\"%Async\"] == 0.0)][(dfL.NP == numP)][(dfL.NS == numC)]\n",
    "                #TimeOp = exp['Ti'] \n",
    "                #print(TimeOp)\n",
    "                v1 = dfL[(dfL[\"Tt\"] == 0)][(dfL[\"Dist\"] == dist)][(dfL[\"%Async\"] == 100.0)][(dfL.NP == numP)][(dfL.NS == numC)]['Ti']\n",
    "                v2 = dfL[(dfL[\"Tt\"] == 1)][(dfL[\"Dist\"] == dist)][(dfL[\"%Async\"] == 100.0)][(dfL.NP == numP)][(dfL.NS == numC)]['Ti']\n",
    "                res = stats.ttest_ind(v1, v2, equal_var = False)\n",
    "                diff = grouped_aggL['Ti'].loc[(0, dist, 100.0, numP, numC)] - grouped_aggL['Ti'].loc[(1, dist, 100.0, numP, numC)]\n",
    "                if diff > 0:\n",
    "                    mejor = \"Asíncrono\"\n",
    "                else:\n",
    "                    mejor = \"Síncrono\"\n",
    "                if res[1] < p_value:\n",
    "                    #and abs(diff) > grouped_aggL['Ti'].loc[(0, dist, 0.0, numP, numC)]\n",
    "                    print(\"Ti numC=\", numC, \"p =\", round(res[1],3), \"Diff =\", abs(round(diff,4)), mejor)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10.0\n"
     ]
    }
   ],
   "source": [
    "auxIter = pd.DataFrame(dfM['Iters'].str.split(',',1).tolist(),columns = ['Iters0','Iters1'])\n",
    "auxIter['Iters1'] = pd.to_numeric(auxIter['Iters1'], errors='coerce')\n",
    "iters = auxIter['Iters1'].mean()\n",
    "print(iters)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Distribución BestFit -------------------------\n",
      "Para  2  padres\n",
      "NC=2 Es mejor Asíncrono con una diff de 0.319\n",
      "NC=10 Es mejor Asíncrono con una diff de 0.431\n",
      "NC=20 Es mejor Asíncrono con una diff de 0.494\n",
      "NC=40 Es mejor Asíncrono con una diff de 0.307\n",
      "Para  10  padres\n",
      "NC=2 Es mejor Asíncrono con una diff de 0.415\n",
      "NC=10 Es mejor Asíncrono con una diff de 0.075\n",
      "NC=20 Es mejor Asíncrono con una diff de 0.112\n",
      "NC=40 Es mejor Síncrono con una diff de 0.685\n",
      "Para  20  padres\n",
      "NC=2 Es mejor Asíncrono con una diff de 0.479\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/usuario/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:10: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
      "  # Remove the CWD from sys.path while we load stuff.\n",
      "/home/usuario/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:14: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
      "  \n",
      "/home/usuario/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:16: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
      "  app.launch_new_instance()\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "NC=10 Es mejor Síncrono con una diff de 0.01\n",
      "NC=20 Es mejor Síncrono con una diff de 0.241\n",
      "NC=40 Es mejor Síncrono con una diff de 1.533\n",
      "Para  40  padres\n",
      "NC=2 Es mejor Síncrono con una diff de 0.811\n",
      "NC=10 Es mejor Síncrono con una diff de 1.665\n",
      "NC=20 Es mejor Síncrono con una diff de 1.85\n",
      "NC=40 Es mejor Síncrono con una diff de 2.882\n",
      "Distribución WorstFit -------------------------\n",
      "Para  2  padres\n",
      "NC=2 Es mejor Asíncrono con una diff de 0.319\n",
      "NC=10 Es mejor Asíncrono con una diff de 0.421\n",
      "NC=20 Es mejor Síncrono con una diff de 0.005\n",
      "NC=40 Es mejor Asíncrono con una diff de 0.287\n",
      "Para  10  padres\n",
      "NC=2 Es mejor Asíncrono con una diff de 0.349\n",
      "NC=10 Es mejor Síncrono con una diff de 0.143\n",
      "NC=20 Es mejor Síncrono con una diff de 1.495\n",
      "NC=40 Es mejor Síncrono con una diff de 1.471\n",
      "Para  20  padres\n",
      "NC=2 Es mejor Síncrono con una diff de 0.969\n",
      "NC=10 Es mejor Síncrono con una diff de 1.741\n",
      "NC=20 Es mejor Síncrono con una diff de 2.673\n",
      "NC=40 Es mejor Síncrono con una diff de 1.948\n",
      "Para  40  padres\n",
      "NC=2 Es mejor Síncrono con una diff de 0.673\n",
      "NC=10 Es mejor Síncrono con una diff de 1.784\n",
      "NC=20 Es mejor Síncrono con una diff de 2.414\n",
      "NC=40 Es mejor Síncrono con una diff de 2.901\n"
     ]
    }
   ],
   "source": [
    "#iters = dfM['Iters'].mean()\n",
    "resultados = [0,0]\n",
    "for dist in [1,2]:\n",
    "    print(\"Distribución \" + dist_names[dist] + \" -------------------------\")\n",
    "    dist_v = str(dist)+\",\"+str(dist)\n",
    "    for numP in values:\n",
    "        print(\"Para \", numP, \" padres\")\n",
    "        for numC in values:\n",
    "            #if numP != numC:\n",
    "                Titer = dfL[(dfL[\"Tt\"] == 0)][(dfL[\"Dist\"] == dist)][(dfL.NP == numC)]['Ti'].mean() #Tiempo por iteracion\n",
    "                i=0\n",
    "                for adr in [0.0, 100.0]:\n",
    "                \n",
    "                    auxExp = dfM[(dfM[\"Dist\"] == dist_v)][(dfM[\"%Async\"] == adr)][(dfM.NP == numP)][(dfM.NS == numC)]\n",
    "                    Tr = auxExp['TS'].mean() + auxExp['TA'].mean() #Tiempo de redistribucion\n",
    "                    M_it = dfL[(dfL[\"Tt\"] == 1)][(dfL[\"Dist\"] == dist)][(dfL[\"%Async\"] == adr)][(dfL.NP == numP)][(dfL.NS == numC)]['Ti'].count()/3 #Iteraciones asincronas\n",
    "                    #No se presupone una diferencia temporal entre iteraciones normales y asincronas\n",
    "                    if(M_it > iters):\n",
    "                        M_it = iters\n",
    "                    resultados[i] = (iters - M_it) * Titer + Tr\n",
    "                    i+=1\n",
    "\n",
    "                if resultados[0] > resultados[1]:\n",
    "                    mejor = \"Asíncrono\"\n",
    "                else:\n",
    "                    mejor = \"Síncrono\"\n",
    "                diff = abs(round(resultados[0] - resultados[1], 3))\n",
    "                print(\"NC=\"+ str(numC) + \" Es mejor \" + mejor + \" con una diff de \"+  str(diff))\n",
    "                #TODO Comprobar"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "A partir de aquí se muestran gráficos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/usuario/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:36: FutureWarning: set_axis currently defaults to operating inplace.\n",
      "This will change in a future version of pandas, use inplace=True to avoid this warning.\n",
      "/home/usuario/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:53: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[2.004239557189542, 2.004239557189542, 2.004239557189542, 2.004239557189542, 2.0036251519607844, 2.0036251519607844, 2.0036251519607844, 2.0036251519607844, 2.002774753267974, 2.002774753267974, 2.002774753267974, 2.002774753267974, 2.005220606209152, 2.005220606209152, 2.005220606209152, 2.005220606209152], [2.0022725473856204, 2.0022725473856204, 2.0022725473856204, 2.0022725473856204, 2.001913400326798, 2.001913400326798, 2.001913400326798, 2.001913400326798, 2.004655240196078, 2.004655240196078, 2.004655240196078, 2.004655240196078, 2.022560447712418, 2.022560447712418, 2.022560447712418, 2.022560447712418]]\n",
      "[[18.03815601470588, 18.032626367647058, 18.024972779411765, 18.04698545588237, 18.03815601470588, 18.032626367647058, 18.024972779411765, 18.04698545588237, 18.03815601470588, 18.032626367647058, 18.024972779411765, 18.04698545588237, 18.03815601470588, 18.032626367647058, 18.024972779411765, 18.04698545588237], [18.020452926470583, 18.017220602941183, 18.041897161764705, 18.203044029411764, 18.020452926470583, 18.017220602941183, 18.041897161764705, 18.203044029411764, 18.020452926470583, 18.017220602941183, 18.041897161764705, 18.203044029411764, 18.020452926470583, 18.017220602941183, 18.041897161764705, 18.203044029411764]]\n",
      "[[2.2410688, 2.3062218, 2.468473733333333, 3.3301869333333336, 2.280456066666667, 2.3505480000000003, 2.5847236, 4.577641933333332, 2.3539399999999997, 2.5580121333333334, 2.9396494000000004, 5.598332133333335, 4.115030933333334, 5.337849133333334, 5.795295933333334, 7.376744866666666], [2.254777466666667, 2.446265866666667, 3.6788176666666663, 3.7181029333333333, 2.391971066666667, 2.7959183333333333, 5.632910133333333, 5.649959533333334, 4.617978133333333, 5.5159481999999995, 6.815505333333333, 6.465458, 4.493721866666666, 5.688683466666667, 6.976852066666667, 7.276086066666666]]\n"
     ]
    }
   ],
   "source": [
    "#Reserva de memoria para las estructuras\n",
    "TP_data=[0]*2\n",
    "TH_data=[0]*2\n",
    "TM_data=[0]*2\n",
    "\n",
    "TP_A_data=[0]*2\n",
    "TH_A_data=[0]*2\n",
    "TM_A_data=[0]*2\n",
    "\n",
    "for dist in [1,2]:\n",
    "    dist_index=dist-1\n",
    "    \n",
    "    TP_data[dist_index]=[0]*len(values)*(len(values))\n",
    "    TH_data[dist_index]=[0]*len(values)*(len(values))\n",
    "    TM_data[dist_index]=[0]*len(values)*(len(values))\n",
    "\n",
    "    TP_A_data[dist_index]=[0]*len(values)*(len(values))\n",
    "    TH_A_data[dist_index]=[0]*len(values)*(len(values))\n",
    "    TM_A_data[dist_index]=[0]*len(values)*(len(values))\n",
    "\n",
    "# Obtencion de los grupos del dataframe necesarios\n",
    "\n",
    "#ACTUALMENTE NO SE DIFERENCIAN LOS TIEMPOS DE ITERACIONES DE PADRES E HIJOS CUANDO COINCIDE EL NUMERO DE PROCESOS\n",
    "if(n_qty == 1):\n",
    "    groupM_aux = dfM.groupby(['NP', 'NS'])['TC']\n",
    "    groupL_aux = dfL[dfL['Tt'] == 0].groupby(['NP'])['Ti']\n",
    "else:\n",
    "    groupM_aux = dfM.groupby(['NP', 'NS', 'Dist'])['TC']\n",
    "    groupL_aux = dfL[dfL['Tt'] == 0].groupby(['Dist', 'NP'])['Ti']\n",
    "\n",
    "grouped_aggM_aux = groupM_aux.agg(['mean'])\n",
    "grouped_aggM_aux.columns = grouped_aggM_aux.columns.get_level_values(0)\n",
    "\n",
    "grouped_aggL_aux = groupL_aux.agg(['mean'])\n",
    "grouped_aggL_aux.columns = grouped_aggL_aux.columns.get_level_values(0)\n",
    "grouped_aggL_aux.set_axis(['Ti'], axis='columns')\n",
    "\n",
    "#Calculo de los valores para las figuras\n",
    "#1=Best Fit\n",
    "#2=Worst Fit\n",
    "dist=1\n",
    "for dist in [1,2]:\n",
    "    dist_index=dist-1\n",
    "    dist_v = str(dist)+\",\"+str(dist)\n",
    "    i=0\n",
    "    r=0\n",
    "    for numP in values:\n",
    "        j=0\n",
    "        for numC in values:\n",
    "        \n",
    "            tc_real = grouped_aggM_aux.loc[(numP,numC,dist_v)]['mean']\n",
    "            for tipo in [0, 100]:\n",
    "                iters_aux=dfM[(dfM[\"NP\"] == numP)][(dfM[\"NS\"] == numC)][(dfM[\"Dist\"] == dist_v)][(dfM[\"%Async\"] == tipo)]['Iters'].head(1).tolist()[0].split(',')\n",
    "                itersP_aux = int(iters_aux[0])\n",
    "                itersS_aux = int(iters_aux[1])\n",
    "                iters_mal_aux = 0\n",
    "                if tipo != 0:\n",
    "                    iters_mal_aux = grouped_aggL['Iters'].loc[(1,dist,tipo,numP,numC)]\n",
    "            \n",
    "                t_iterP_aux = grouped_aggL_aux['Ti'].loc[(dist,numP)]\n",
    "                t_iterS_aux = grouped_aggL_aux['Ti'].loc[(dist,numC)]\n",
    "            \n",
    "            \n",
    "                p1 = t_iterP_aux * itersP_aux\n",
    "                p2 = t_iterS_aux * max((itersS_aux - iters_mal_aux),0)\n",
    "                \n",
    "                array_aux = grouped_aggM[['TS', 'TA']].loc[(dist_v,tipo,numP,numC)].tolist()\n",
    "                p3 = tc_real + array_aux[0] + array_aux[1]\n",
    "                \n",
    "                #Guardar datos\n",
    "                if tipo == 0:\n",
    "                    TP_data[dist_index][i*len(values) + j] = p1\n",
    "                    TH_data[dist_index][i*len(values) + j] = p2\n",
    "                    TM_data[dist_index][i*len(values) + j] = p3\n",
    "                else:\n",
    "                    TP_A_data[dist_index][i*len(values) + j] = p1\n",
    "                    TH_A_data[dist_index][i*len(values) + j] = p2\n",
    "                    TM_A_data[dist_index][i*len(values) + j] = p3\n",
    "            j+=1\n",
    "        i+=1\n",
    "print(TP_A_data)\n",
    "print(TH_A_data)\n",
    "print(TM_A_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1440x864 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1440x864 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "for dist in [1,2]:\n",
    "    dist_index=dist-1\n",
    "    f=plt.figure(figsize=(20, 12))\n",
    "#for numP in values:\n",
    "\n",
    "    x = np.arange(len(labelsP_J))\n",
    "\n",
    "    width = 0.35\n",
    "    sumaTP_TM = np.add(TP_data[dist_index], TM_data[dist_index]).tolist()\n",
    "    sumaTP_TM_A = np.add(TP_A_data[dist_index], TM_A_data[dist_index]).tolist()\n",
    "\n",
    "    ax=f.add_subplot(111)\n",
    "\n",
    "    ax.bar(x+width/2, TP_data[dist_index], width, color='blue')\n",
    "    ax.bar(x+width/2, TM_data[dist_index], width, bottom=TP_data[dist_index],color='orange')\n",
    "    ax.bar(x+width/2, TH_data[dist_index], width, bottom=sumaTP_TM, color='green')\n",
    "\n",
    "    ax.bar(x-width/2, TP_A_data[dist_index], width, hatch=\"\\\\/...\", color='blue')\n",
    "    ax.bar(x-width/2, TM_A_data[dist_index], width, bottom=TP_A_data[dist_index], hatch=\"\\\\/...\", color='orange')\n",
    "    ax.bar(x-width/2, TH_A_data[dist_index], width, bottom=sumaTP_TM_A, hatch=\"\\\\/...\", color='green')\n",
    "\n",
    "    ax.set_ylabel(\"Time(s)\", fontsize=20)\n",
    "    ax.set_xlabel(\"NP, NC\", fontsize=20)\n",
    "    plt.xticks(x, labelsP_J, rotation=90)\n",
    "\n",
    "    blue_Spatch = mpatches.Patch(color='blue', label='Parents SC')\n",
    "    orange_Spatch = mpatches.Patch(color='orange', label='Resize SC')\n",
    "    green_Spatch = mpatches.Patch(color='green', label='Children SC')\n",
    "    blue_Apatch = mpatches.Patch(hatch='\\\\/...', facecolor='blue', label='Parents AC')\n",
    "    orange_Apatch = mpatches.Patch(hatch='\\\\/...', facecolor='orange', label='Resize AC')\n",
    "    green_Apatch = mpatches.Patch(hatch='\\\\/...', facecolor='green', label='Children AC')\n",
    "\n",
    "\n",
    "    handles=[blue_Spatch,orange_Spatch,green_Spatch,blue_Apatch,orange_Apatch,green_Apatch]\n",
    "\n",
    "    plt.legend(handles=handles, loc='upper left', fontsize=21,ncol=2)\n",
    "    \n",
    "    ax.axvline((3.5), color='black')\n",
    "    ax.axvline((7.5), color='black')\n",
    "    ax.axvline((11.5), color='black')\n",
    "    \n",
    "    ax.tick_params(axis='both', which='major', labelsize=24)\n",
    "    ax.tick_params(axis='both', which='minor', labelsize=22)\n",
    "    #ax.axvline(4)\n",
    "    \n",
    "    f.tight_layout()\n",
    "    f.savefig(\"Images/EX_Partitions_\"+dist_names[dist]+\".png\", format=\"png\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[0.22771280000000002, 0.2951758, 0.4574467333333334, 1.0065502666666666, 0.2709764, 0.34524099999999996, 0.5523862666666667, 1.2616349333333332, 0.30655166666666667, 0.3979708, 0.6218607333333335, 1.4430508000000004, 0.5012709333333334, 0.9097184666666666, 1.1726962666666667, 1.4802842], [0.25073213333333333, 0.4431558666666667, 1.055341, 1.0189312666666666, 0.32123673333333336, 0.5652076666666667, 1.4103254666666665, 1.4033898666666669, 0.5978951333333333, 1.0128365333333333, 1.3475629999999998, 1.417449, 0.6253302000000001, 0.9833484666666668, 1.3360994, 1.4645820666666665]]\n",
      "[[0.22771280000000002, 0.2951758, 0.4574467333333334, 1.0065502666666666, 0.2709764, 0.34524099999999996, 0.5523862666666667, 1.2616349333333332, 0.30655166666666667, 0.3979708, 0.6218607333333335, 1.4430508000000004, 0.5012709333333334, 0.9097184666666666, 1.1726962666666667, 1.4802842], [0.25073213333333333, 0.4431558666666667, 1.055341, 1.0189312666666666, 0.32123673333333336, 0.5652076666666667, 1.4103254666666665, 1.4033898666666669, 0.5978951333333333, 1.0128365333333333, 1.3475629999999998, 1.417449, 0.6253302000000001, 0.9833484666666668, 1.3360994, 1.4645820666666665]]\n"
     ]
    }
   ],
   "source": [
    "#Reserva de memoria para las estructuras\n",
    "TC_data=[0]*2\n",
    "TS_data=[0]*2\n",
    "TA_data=[0]*2\n",
    "\n",
    "TC_A_data=[0]*2\n",
    "TS_A_data=[0]*2\n",
    "TA_A_data=[0]*2\n",
    "\n",
    "for dist in [1,2]:\n",
    "    dist_index=dist-1\n",
    "\n",
    "    TC_data[dist_index]=[0]*len(values)*(len(values))\n",
    "    TS_data[dist_index]=[0]*len(values)*(len(values))\n",
    "    TA_data[dist_index]=[0]*len(values)*(len(values))\n",
    "\n",
    "    TC_A_data[dist_index]=[0]*len(values)*(len(values))\n",
    "    TS_A_data[dist_index]=[0]*len(values)*(len(values))\n",
    "    TA_A_data[dist_index]=[0]*len(values)*(len(values))\n",
    "\n",
    "#FIXME El TC actual no es la media de todos los del mismo tipo\n",
    "\n",
    "if(n_qty == 1):\n",
    "    groupM_aux = dfM.groupby(['NP', 'NS'])['TC']\n",
    "else:\n",
    "    groupM_aux = dfM.groupby(['NP', 'NS', 'Dist'])['TC']\n",
    "\n",
    "grouped_aggM_aux = groupM_aux.agg(['mean'])\n",
    "grouped_aggM_aux.columns = grouped_aggM_aux.columns.get_level_values(0)\n",
    "\n",
    "dist=1\n",
    "for dist in [1,2]:\n",
    "    dist_index=dist-1\n",
    "    dist_v = str(dist)+\",\"+str(dist)\n",
    "    i=0\n",
    "    r=0\n",
    "    for numP in values:\n",
    "        j=0\n",
    "        for numC in values:\n",
    "        \n",
    "            test_tc_real = grouped_aggM_aux.loc[(numP,numC,dist_v)]['mean']\n",
    "        #print(test_tc_real)\n",
    "            for tipo in [0, 100]:\n",
    "            \n",
    "                test=grouped_aggM.loc[(dist_v,tipo,numP,numC)][['TS', 'TA']]\n",
    "                test=test.tolist()\n",
    "                    \n",
    "                if tipo == 0:\n",
    "                    TC_data[dist_index][i*len(values) + j] = test_tc_real\n",
    "                    TS_data[dist_index][i*len(values) + j] = test[0] \n",
    "                    TA_data[dist_index][i*len(values) + j] = 0\n",
    "                else:\n",
    "                    TC_A_data[dist_index][i*len(values) + j] = test_tc_real\n",
    "                    TS_A_data[dist_index][i*len(values) + j] = test[0]\n",
    "                    TA_A_data[dist_index][i*len(values) + j] = test[1]\n",
    "            j+=1\n",
    "        i+=1\n",
    "                    \n",
    "                    \n",
    "##########################\n",
    "\n",
    "print(TC_data)\n",
    "print(TC_A_data)\n",
    "#print(TS_data)\n",
    "#print(TA_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAABZgAAANYCAYAAABJlYhKAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjEsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy8QZhcZAAAgAElEQVR4nOzdeVhUdfvH8fdhXwXBANPU3E3NetwrFc3KLJVMc8nKyuX5tWpZWllqantPtufylLnmkko+apoGaYtblqnlmpoaqIEDsgnC+f0BMzAwg4jAoH5e1zWX8z3f5XznMHmdbm/uY5imiYiIiIiIiIiIiIjI+XJz9QZERERERERERERE5OKkALOIiIiIiIiIiIiIlIoCzCIiIiIiIiIiIiJSKgowi4iIiIiIiIiIiEipKMAsIiIiIiIiIiIiIqXi4eoNlIdq1aqZderUcfU2RETkPOzZsweARo0auXgnIiIVQ3/vicjlRn/viYhc3H7++ed/TNO8ovDxSzLAXKdOHbZu3erqbYiIyHmIjIwEIDY21qX7EBGpKPp7T0QuN/p7T0Tk4mYYxmFHx1UiQ0RERERERERERERKRQFmERERERERERERESkVBZhFREREREREREREpFQUYBYRERERERERERGRUlGAWURERERERERERERKRQFmERERERERERERESkVBZhFREREREREREREpFQUYBYRERERERERERGRUlGAWURERERERERERERKRQFmERERERERERERESkVD1dvQERERKS8mKbJ6dOnSU5OJi0tjezsbFdvScRm3LhxAPzxxx8u3olIUR4eHgQFBRESEoKHh/63UURERJzTnYKIiIhckkzT5MSJE6SmphISEkJERATu7u4YhuHqrYkA4OaW+8uEjRo1cvFOROyZpklmZiYJCQkcOXKE2rVr276vIiIiIoXpLkFEREQuSadPnyY1NZXatWsTHByMh4eHgssiIiVgGAbe3t5Ur14dDw8PTp065eotiYiISCWmALOIiIhckpKTkwkJCcHd3d3VWxERuSgZhkFwcDCpqamu3oqIiIhUYgowi4iIyCUpLS2NgIAAV29DROSi5ufnR3p6uqu3ISIiIpWYAswiIiJyScrOzlb2sojIBXJzcyMnJ8fV2xAREZFKTAFmERERuWSp5rKIyIXR36MiIiJyLgowi4iIiIiIiIiIiEipKMAsIiIiIiIiIiIiIqWiALOIiIiIiIiIiIiIlIoCzCIiIiIiIiIiIiJSKgowi4iIiIiIiIiIiEipeLh6AyIiIiKu8sfolpw9/U+ZrecRWI0mr/9c7JhPe4XTuoZPsWO2HMtg1Jp/eOvWasWObf7R4VLtsyTOnj3LnDlz+OKLL9i+fTsJCQn4+/sTERFB3bp16dixI126dKF169bltgcREREREan8FGAWERGRy1ZZBpdLut7DX50g1NeNmME1AXhy1UkA3r39CgA6zzxKQnoO/+0ZRusaPkX6C7fLw8mTJ+nevTtbt261HfPx8cE0Tfbs2cPu3btZuXIlQUFBWCyWctuHiIiIiIhUfiqRISIiIlKBQn3dSEjPYcuxjCJ9W45lkJCeQ6iv2zmznMvToEGD2Lp1K4GBgbzxxhvExcWRnp6OxWIhKSmJb775hkceeYTg4GCX7VFERERERCoHZTCLiIiIVKCYwTXtSmBYM5Gtx6yZy1aFM5XLM3MZYPfu3axZswaATz/9lD59+tj1BwYG0rVrV7p27cpbb71VrnsREREREZHKTxnMIiIiIhWsdQ0f3rq1GqPW/MOWYxklrrlcEXbs2GF7f+eddxY71tfX1649fvx4DMNg8ODB5OTk8M4779CiRQv8/f0JDQ2lZ8+ebN682el6O3fuZOLEiXTo0IFatWrh7e1NaGgokZGRzJgxg+zs7CJzJk6ciGEY3HPPPUX6tm7dimEYGIbBI488UqT/66+/xjAM6tSpY3e8Tp06GIZBbGwsiYmJPPXUU1x99dV4e3tTo0YNhg4dSlxcXLHXRkRERETkcqEMZhEREREXmPPbadyM3JrMkFs6Y85vp20B5nPVXn5y1Um+Lec9Hjt2jHr16p33PNM06du3L0uWLMHDwwN/f38SExNZvnw5K1euZO7cufTr16/IvMjISBISEgBwd3cnICCAxMREvvvuO7777juWLl1KdHQ0Hh75t7CdOnUC4Lvvviuy3vr1623vi+u3rlHY0aNHGTx4MIcPH8bPzw/DMPj777+ZMWMGa9euZdu2bVStWvU8royIiIiIyKVHGcwiIiIiYtOyZUvb+0cffZSTJ0+e9xrR0dFER0fzn//8h+TkZCwWC/v37+eWW24hOzubBx98kAMHDhSZ17FjR6ZPn87hw4fJyMjAYrGQkpLC7NmziYiIYOXKlbzzzjt2c9q2bYu3tzcnTpxg9+7ddn3WoHJgYCC///57kc9i7XcWYH788cepWrUqP/74I6mpqaSkpBAdHU1wcDCHDh3i1VdfPe9rIyIiIiJyqVGAWURERMQFBl0bSI4J/+0Zxn97hpFj5h6zevf2K+zqLTtql4e6dety//33A7B69Wpq1qxJ165dGTt2LNHR0SUKOCclJTFhwgRGjhxpK6NRr149vvrqKxo1akR6errD4OySJUsYMmQItWrVsmUp+/v7M2jQIBYuXAjARx99ZDfH29ubtm3bAvZZyjk5OWzYsIHAwEAeeOABwD6jOS0tjS1btgDOA8ze3t6sXbuW9u3bA+Dh4UHPnj0ZO3YsAIsXLz7ntRARERERudQpwCwiIiJSwQrXXC5ck9nVpk+fzlNPPYWXlxeZmZmsW7eOyZMnExUVRVhYGG3atGHu3LmYpulwvp+fHyNGjChy3MfHh6effhqAL7/80ul8Rzp06GDLHP7777/t+jp27AjYB5h37NjBqVOnuOmmm+jSpUuR/p9++omsrCxq1KjhtAzIsGHDCA0NLXI8KioKgIMHD5KamlrizyAiIiIicilSgFlERESkAnWeeZSHvzphCy4/ueokT646aQsyP/zVCTrPPGobb+131i4PXl5evP322xw5coRPPvmEAQMG0KBBAwzDAGDLli0MGjSIfv36kZOTU2R+q1at8Pf3d7i2NVvYYrFw8ODBIv2LFy8mKiqKWrVq4evra3tIn2EYWCwWgCIBZkd1mAuWv+jYsSOGYTjtd6Z169YOj9eoUcP23ronEREREZHLlQLMIiIiIhUoIT2HUF8328P8Cmpdw4dQXzcS0nMqRSZzWFgYw4cPZ968eezdu5e4uDimT5/OVVddBcCiRYt4//33i8wrGIAtrq9guY2zZ8/Su3dv+vbtS3R0NEeOHME0TapVq0Z4eDjh4eG4ueXeuhbOGr7hhhvw9PTk77//Zv/+/UB+ADkyMpLQ0FCaNm3Kjh07SExMtOsvLsAcGBjo8LiPT/7PLisry+l8EREREZHLgQLMIiIiIhXovz3DiBlc09YuXFs5ZnBN/tszzFYu41y1mCtSeHg4Q4YMYdu2bYSHhwPw6aefntcazspiTJ8+naVLl+Ln58e7777LkSNHyMjI4OTJk8THxxMfH8+VV17pcA0/Pz/bwwm/++47TNNk/fr1BAQE2I536tQJ0zTZsGEDGRkZbNq0CcgvryEiIiIiZcgw7F6xhsEVeX8W7nP2KvEccTkFmEVEREQqkKPMZUdjKlNN5sKqVatGr169ANi7d2+R/sIlLAqKi4uzvb/iivxA+aJFiwB48cUXeeKJJ6hZs6bdvOzsbP755x+n6xYsk/H777/zzz//cOONN9oeFliwf9OmTZw5c4awsDAaN25c7GcVERERkQsXCSwC+gKxJRgfmzd2Ud5cqdwUYBYRERFxgXPVVp7z22ncDGxBZkfjXclaY9nLy6tI35YtW0hLS3M4z1qaIjg4mKuvvtp2/OjR3LrT119/vcN5P/zwAxkZzoPtBR/056j8xbn6RURERKRsReW9rKYA7uQHmQv3W9uxeWPc8+Y4W69wW1xHAWYRERGRSuracG9bJvNvx89UyDkPHjzIgQMHih2TlpbGsmXLALjuuusc9r/77rtFjp85c4b//Oc/APTp08f20ECAoKAgAHbs2FFk3tmzZxk7dmyxe7rppptwd3fnr7/+YubMmUBu/WWr8PBwGjVqxK+//kp0dDSgALOIiIhIRWtHfibzRgf9G8nPXG5XgfuSC6MAs4iIiIgLnKu2srVtLZeRY8Kga/MfOlfwfVnatWsXjRo1onfv3ixcuNCupEVqairLly+nQ4cOHDx4EIAnn3yyyBpBQUG8+OKLvPvuu6SnpwPw559/0qtXL/744w98fHwYM2aM3ZxbbrkFgIkTJxIdHU12djYAu3fvpkePHmzevNmWNe1IlSpVaNGiBZCbQe3v70+rVq3sxnTq1ImcnBy2bdtma4uIiIhI+ViW9yrcjiQ3gJwNjCjQPyLvmLUshrP5ztriOgowi4iIiFRyhWsybzmWwag1zusRXwhPT0+ys7NZunQp/fr148orr8TPz4/g4GACAgLo2bMn27Ztw93dncmTJ9O7d+8ia/Tq1YuePXsyYsQIgoKCqFq1KvXq1WP16tW4u7vz2WefUa9ePbs5o0aNol69eiQnJxMVFYWvry9BQUE0adKEb775hk8++YRq1aoVu/eCAeMbbrgBT09Pp/2hoaE0bdq0NJdIRERERC5QJPY1mWNRzeWLmYerNyAiIiLiKh6B1Th7uuwCtR6BxQdAAZp/dLhUazcHHirQfsjZwAt02223sWfPHpYvX87333/Pzp07OXbsGCkpKQQHB1O3bl06duzIkCFDnAZoDcNg0aJFvPfee8ycOZP9+/dTtWpVbrzxRl588UXatGlTZE5ISAgbN27kpZdeYvny5Rw/fhxfX1+6dOnCqFGjuPHGGxk/fnyxe+/UqRPvvPOO7b2jfqsOHTrYlegQERERkbITRX52sbVOsqP2IqBzXjuG3OByceMdtcX1FGAWERGRy1aT13929RYqpYYNG/L000/z9NNPl3oNd3d3Ro4cyciRI0s8p1q1anz00Ud89NFHDvsPHTpU7PxevXphmqbT/ho1ahTbX9LzACVaR0RERETkcqAAs4iIiIiIiIiIiJSZwrWSHfXFklsWIyavbS2R4Wy8s7a4nmowi4iIiIiIiIiISIWJxb7mciT2NZnl4qIAs4iIiIiIiIiIiJSpKPLrJRdsx5IbSHYHphTon5J3zBpkdjbfWVtcRwFmERERERERERERKXcbyc9cbuegvx35mcwbK3BfcmFUg1lEREREysT48eMZP368q7chIiIiIpVA4VrJIyhaFsPZeGuQeUQx66kWc+WhDGYREREREREREREpN7HYB5fPJRLVZL6YKINZREREREREREREykwU+RnGEcBxIIbcwLG1bvKyAmOdtRcBnYFwIN7JeHE9ZTCLiIiIiIiIiIhImYslN7gcTskylwuLzJt7HMeZzI6OScVTBrOIiIiIiIiIiIiUmWXkl8WwZi4X7Cs8trh2PPYlNqz91mMnL3CvcuEUYBYREREREREREZEyE8v51Vw+l0jyazIvyjtW8L24lkpkiIiIiIiIiIiISJnpDLgDUwociyK/fnJp2lPy1uzsZH1xHQWYRURERERERERERKRUVCJDREREREREREREykwMuSUsRhQ4dr61lwu3R5Bf0xkH64vrKINZREREREREREREykwk+TWTY8tgvVjsazoXXF9cTxnMIiIiIiIiIiIiUmaiyM1AXkRuveRwIL5AH+RnKJ+rHQEcJzdzObJQvx7yVzkog1lERERERERERETKXCS5weXjlC6TOTZvbnjeWo7WF9dTgFlERERELkt16tTBMAxiY2NdvRURERGRS0rB+snx5Ndkjs3rW1ZorKN2LPk1l+OLGS+upxIZIiIictl6K+ItUo+nunobpeYf7s+o+FHlsvbZs2eZM2cOX3zxBdu3bychIQF/f38iIiKoW7cuHTt2pEuXLrRu3bpczi9S2KlTp/jvf//L6tWr+eOPP/jnn3/w9PSkevXqtG7dmr59+3LnnXfi4aH/xREREalsIsmvmWyto1yc2PMYK66nuy8RERG5bF3MwWUov/2fPHmS7t27s3XrVtsxHx8fTNNkz5497N69m5UrVxIUFITFYimXPYgUNGPGDEaNGkVSUpLtWJUqVTh79iz79u1j3759zJs3j4YNG7Jo0SKuvfZaF+5WREREoGgt5SmAO/mB4ymF+q3jR+SNcc8bE+lkvcJtcR2Xl8gwDMM8j1cnV+9XRERE5FI3aNAgtm7dSmBgIG+88QZxcXGkp6djsVhISkrim2++4ZFHHiE4ONjVW5XLwMSJExk6dChJSUm0adOGJUuWkJycTFJSEqmpqZw4cYJZs2Zx/fXXs3fvXrZt2+bqLYuIiIgT7cjPZN7ooH8j+QHodhW4L7kwlSGD+fg5+qsAvkAmsLP8tyMiIiJy+dq9ezdr1qwB4NNPP6VPnz52/YGBgXTt2pWuXbvy1ltvuWKLchn5+uuvGTduHABDhgxh6tSpuLnZ58hcccUV3HfffQwaNIj3338fLy8vV2xVRERECimcWVywbQ0yjyhwzJq5bC2LEXke64lruTyD2TTNiOJewN68of8zTTPBlXsVERERudTt2LHD9v7OO+8sdqyvr69du0uXLhiGwahRxdeFfuCBBzAMg4EDB9qOxcbGYhgGderUAeCHH37gzjvvpFq1avj6+tKiRQs++OADTNMsdu3Vq1fTp08fatasibe3NxEREbRr145JkyZx5MgRp/MSExN56qmnuPrqq/H29qZGjRoMHTqUuLg4h+MjIyMxDIOZM2disVgYPXo0jRs3xs/Pz2Fm95IlS+jWrRtXXHEF3t7e1KxZk1GjRrFr1y6H6x86dAjDMDAMA4CdO3fSv39/IiIi8PHxoXHjxkycOJHMzEynnyknJ4f//ve/dOrUiZCQEHx8fLj66qsZNmwY+/fvdzhn5syZGIZBZGSk03XHjx+PYRgMHjy4SN+JEyd45plnaNasGf7+/vj4+HDVVVdxww038NJLL3H48GGn6zry7LPPYpom119/PR9//HGR4HJBhmHwxBNPMGDAgCJ9ycnJjB8/nhYtWhAQEEBAQADXXnst48aNsyu74exzmqbJhx9+yPXXX4+/vz/Vq1fngQce4OjRo7bx+/bt44EHHqBmzZr4+PjQrFkzpk+f7nDtwt/31atX07VrV0JCQggODuaWW27hp59+so1PSkrihRdeoGHDhvj6+nLVVVcxevRo0tPTS3IZRUREKp1I8oPMsajm8sWuMmQwO2UYxnVAi7zm567ci4iIiMjl5tixY9SrV6/E44cMGUJMTAxz5szhtddec/iwtdOnT7N48WIAHnroIYfrzJw5kyFDhpCTk0OVKlXIyMjgt99+4/HHH2f//v1MmTKlyJzMzEwefvhh5syZYzsWFBREQkICx48fZ9OmTZw9e5bx48cXmXv06FEGDx7M4cOH8fPzwzAM/v77b2bMmMHatWvZtm0bVatWdbjXkydP0rJlS/7880+8vb2LZM/m5OTw4IMPMmvWLADc3d0JDAzk2LFjHDt2jJUrV/LBBx/wf//3f44vKrBmzRqioqJIT08nKCiIrKws9uzZw0svvcTPP//MsmVF83fS0tK46667bNnonp6e+Pn5cejQIaZPn87s2bP54osv6NWrl9Pznq/Dhw/Tvn17W1De3d2dKlWqcOzYMY4ePcpPP/3ElVdeyb///e8Srffjjz/a/sFjzJgxJX54nzUob7V//366du1qC277+fkBuf+YsmPHDmbOnMnatWtp0KCB0zUHDBjAggUL8PLywtPTk/j4eGbNmsWGDRvYtGkTBw4c4Pbbb8disRAUFERmZia7du1i2LBhWCwWnnnmGadrf/TRRzz22GMYhkFAQADJycmsXbuW77//nm+++YZGjRrRpUsXdu7cib+/Pzk5ORw9epQ33niDXbt28b///a9E10VERKQiReG8VnLB9iKgc147htzg8rlqLav2cuXj8gzmc3gg78+TwEpXbkRERETkctCyZUvb+0cffZSTJ0+WeO7dd99NSEgIx48fZ+VKx7duCxYsIC0tjdq1a3PzzTcX6T958iTDhw/n//7v/4iLi8NisXDq1Ckef/xxAN577z2HWb8jR45kzpw5uLu7M27cOOLj47FYLKSnp7N3717efPNNrrzySod7evzxx6latSo//vgjqamppKSkEB0dTXBwMIcOHeLVV191+plffvllsrKyWLVqFWlpaSQnJ9s9HPGNN95g1qxZGIbBxIkTOXXqFKdOneLo0aN069aNnJwcHnvsMdavX+/0HP369aNHjx4cPHgQi8VCcnIyr776KoZhEB0d7fBaP/XUU6xZswZvb28++eQTTp8+jcViYc+ePURGRpKRkcHAgQPZu3evgzOWzoQJE4iLi6N+/fqsX7+ezMxMEhMTSU9PZ8eOHYwdO5aIiIgSrxcTEwPkBqq7d+9eqj1lZmZy9913c/jwYa666irWrFlDSkoKKSkprF27llq1avHXX39x1113cebMGYdrLFu2jBUrVjBnzhxOnz7N6dOnWb9+PRERERw8eJAXX3yR/v37c9NNN3HgwAEsFgsWi8UWSH/ppZdISHD8i5gnT55k5MiRPPfccyQkJJCUlMTBgwdp3749GRkZPPXUU/z73/8mKyuLDRs22M4/Y8YMPDw8WLFihdP/1kREREQqSqUNMBuG4QFYf29yrmmaZ125HxEREZHLQd26dbn//vuB3F/br1mzJl27dmXs2LFER0cXG3D29vZm0KBBAHz22WcOx3z66acADB48uEimKeRm3t5///28//77hIeHAxAcHMx7771H8+bNMU2TL7/80m7Orl27+Pjjj4HcbNDx48fb5np4eNCgQQNGjRrFsGHDnO577dq1tG/f3janZ8+ejB07FsCWce3ImTNnWLlyJd26dbOVb6hfvz4AqamptuD06NGjGTt2LIGBgQDUqFGDt99+m5YtW5KTk2M7lyOtW7fmiy++sJVT8Pf3Z8yYMdxxxx0O93f48GFbaYZ3332X4cOH4+3tDUDDhg1ZsWIF9erVIy0tjUmTJjk97/nauDH3UT2TJk2iQ4cOtuvh7e1Ns2bNmDhxIlFRUcUtYeePP/4AoF69egQEBJRqTwsWLOC3337Dw8ODlStXcsstt9hKj9x8882sXLkST09Pdu3axdy5cx2ukZSUxAcffMC9996Ll5cXhmHQoUMH3njjDQCmTp2Kl5cXS5cupW7dugBUqVKFDz/8kPr165ORkcGKFSscrp2WlsbAgQOZPHmyrbRKnTp1+OKLLzAMgy1btrB8+XL+97//cdNNN2EYBl5eXjz88MO2/06L+36KiIi4yrJC7x21Y8ktixGT97KWy3A23llbXK/SBpiB24GwvPcqjyEiIiJSQaZPn85TTz2Fl5cXmZmZrFu3jsmTJxMVFUVYWBht2rRh7ty5DushDxkyBIAVK1Zw4sQJu749e/bw008/YRgGDz74oNPzP/fccw6PW8s57Nxp/9zn2bNnY5omjRs3dhpELs6wYcMIDQ0tctwaDD148CCpqakO595+++00a9bMYd+aNWtITk7Gy8uLZ599tki/u7u7rTTGhg0biI+Pd7jOmDFjHAbjrfsrfD2WLFlCTk4OERERtp9HQX5+frb9LFmyhOzsbIfnPV9VqlQBcFq3+nxZs35DQkJKvYY1+BoVFeXw59S0aVPbgywXLlzocI2aNWty3333FTnetWtX2/tnnnmmSAkPNzc3OnfO/aXfwj+jghx932vVqmUr2dG3b1/bP1oUZP0NgOLWFhERqaxiKfpAv4I1meXiUpkDzIPz/vzNNM1fXbkRERERkcuJl5cXb7/9NkeOHOGTTz5hwIABNGjQwBbk3LJlC4MGDaJfv37k5OTYzW3evDlt2rQhKyvLrh4y5Gcv33zzzdSuXdvhuUNCQmxZoIXVqFEDgFOnTtkdt2bOlraMQuvWrYs9H4DFYnE4xpr17Mi2bdsAaNGihdMazq1bt7YFJq3jz3d/ha+HdZ0OHTrg7u7ucG6XLl2A3CzrPXv2OP0M58N6/UePHs2jjz5KTEyMyx9CZ70W1kCvI9Zr4ez6X3PNNQ4fLhgWFmZ77+wfGayZ9IV/RlY+Pj5Oaz9b1y/t2iIiIq4WRX695ILtWHIDye5AwSdrTMk7Zg0yO5vvrC2uUykDzIZhhADWx5bPLOGcYYZhbDUMY+v51AoUEREREcfCwsIYPnw48+bNY+/evcTFxTF9+nSuuuoqABYtWsT7779fZJ41a7ZgmYzs7Gxmz54NOH+4H2ArIeGIj48PAFlZWXbHjx8/DuRmfZaGs3Naz+fonFZXXHGF03Wt96QFA9WFeXt727Knnd3Dnmt/hfdWkvPWrFmzyPgLNXr0aHr27ElmZiYfffQRXbp0oUqVKtxwww28+eabToP0zlivS2JiYqn3dD7XIiEhwWFWfvXq1R3OKxi8P9cYZ9+f8PBwh9npBeeWdm0REZHKaCP5mcvtHPS3Iz+TeWMF7ksuTKUMMAMDAC/gLOC4GFohpmlOM02zlWmarYq70RcRERGR0gkPD2fIkCFs27bNlj1pzUouaMCAAQQEBLBz507bA+9WrVpFXFwcwcHB3HXXXWW6L0dBwYriLEO4IGcPjytvxZ3XWVDzQnh7exMdHc1PP/3Es88+S7t27TAMw9Zu2LAh27dvL/F6TZo0AeDAgQNOS5SUlKt+BiIiIpezwrWSRwDZ5JfFcFZbOTJvTHbeHGfrqRZz5VFZA8wP5P25yjTNE8WOFBEREZEKVa1aNVs95L179xbpDwgIoF+/fkB+FrM1ED1w4EC7zOCyEBERAeQ+3K4ysSY9FLevM2fO2GoNl1WSREnOe+TIkSLjAVu5joyMDKdzk5KSij1/u3bteP311/npp584deoU8+fPp1atWpw8edJhTWhnrGUtsrOznT4k71xKci2OHj0K5GZMl0fgXURERIrWXD6XSFST+WJS6QLMhmE0AayF5vRwPxEREZFKyN/fH8it1+yINZA4f/58jhw5wv/+9z+g+PIYpdWuXe4vWK5atarM174Q/xdLwvkAACAASURBVPrXvwDYt28fx44dczhmy5YtnD171m58WZ1306ZNpKWlORzz7bffArk/x0aNGtmOBwcHA/lBV2d7Lil/f3/69+/PtGnTAPj5559LnI18ww030Lx5cwBee+0123U6l4IZ7dZrERMT43S89VqU1fUXERER+9rIEUBn8oPLJa2tHJk3p3PeGs7Gi+tVugAz+Q/3SwSWu3AfIiIiIpedgwcPcuDAgWLHpKWlsWxZ7i8kXnfddQ7HtGvXjmbNmnHq1CkGDBhAVlYWLVq0oGXLlmW+5/vuuw/DMNi9ezdTp04t8/VL69Zbb6VKlSpkZWXx5ptvFunPzs7m448/BnIfyGfNxL5QvXv3xs3NjYSEBFtgt6C0tDTbfnr37m1X5sMa0D127Bg///xzkbkbNmzghx9+cHjezMxMp3vy9fUFcoO/xY0r7LXXXsMwDH755RceeeSRIg+VLMg0Td5//33mz59vO9anTx8g9x8ffvnllyJzdu3axeLFiwG45557SrwvERERKZlY4DgQTskylwuLzJt7HMeZzI6OScWrVAFmwzDcgEF5zfmmaZb87lNERERELtiuXbto1KgRvXv3ZuHChcTFxdn6UlNTWb58OR06dODgwYMAPPnkk07XsmYxWwOS5ZG9DNC0aVOGDx8OwKOPPsr48eM5cSK3ylp2djb79u1j/PjxfPLJJ+Vyfmf8/f15/vnnAXjvvfeYPHkyKSkpQG4A9+mnn+bnn3/Gzc2NSZMmldl5a9euzbBhwwAYM2YM06ZNs9Ug3rt3L3fccQf79+/Hz8+PsWPHFpnbpk0bAAYPHsyOHTuA3AfJLVq0iKioKKpWrerwvM2aNeP5559ny5YttiCyaZps3ryZxx9/HIDWrVs7ne9I9+7defHFFwGYPn06N9xwA8uWLbNdR8h9kN/s2bNp2bIlTzzxhF0Au1+/flx77bUAREVFsXbtWluG87p16+jevTtZWVk0bdqUe++9t8T7EhERkeItI78sRgwQX6ivuFrKhdvxeWtYy2VY+63ri+t5uHoDhdwCXJn3XuUxRERERCqYp6cn2dnZLF26lKVLlwK52adeXl52tXfd3d15+eWX6d27t9O17rvvPkaPHs2ZM2fw8vIq1wDelClTSExMZOHChUyYMIEJEyYQHBxMSkqKrbTCuHHjyu38zowaNYrff/+dWbNmMXbsWMaNG0eVKlWwWCyYpombmxvvv/8+HTt2LNPzvv322xw4cIBvvvmG4cOH89hjj+Hv74/FYgFyH8g3b948GjZsWGTue++9R+fOndm5cyfXXnstAQEBZGZmkpmZya233krr1q2ZPHlykXknTpzg1Vdf5dVXX8Xd3Z2goCBOnz5NVlYWkFu7e8aMGef9WSZMmMCVV17Js88+y6ZNm2wPiQwKCiIrK8uuDEizZs1o3bq1re3l5cWXX35J165dOXz4MLfccgt+fn4Atnm1atViyZIleHt7n/feRERExLFYzq/m8rlEkl+TeVHesYLvxbUqVQYz+Q/3+900zZIXdxMREREpBf9wf1dv4YKUx/5vu+029uzZw1tvvUVUVBT169cHICUlheDgYP71r38xYsQItm/fbsvOdSYkJIROnToB0KtXL0JDQ8t8v1be3t4sWLCA6OhoevToQXh4OKmpqVSrVo127doxefJkhg4dWm7nd8bd3Z3PP/+cxYsXc+utt9qC3tWrV+eOO+5g4cKFPPLII2V+Xj8/P1atWsWMGTPo0KEDfn5+pKWlUbt2bYYMGcKOHTtsD2osrG3btnz//ff06NGD4OBgzp49S8OGDXnzzTdZuXKl7UGAhUVHR/Pcc89x4403cuWVV5KSkoKXlxfXXnstY8aMYdeuXbZs4vM1fPhwDh48yOuvv06XLl2oXr066enpGIZBgwYNGDRoEMuXL+fXX3+ladOmdnPr16/P9u3beemll2jWrJnteLNmzXjxxRf57bffHAbaRUREpPQ6A+7AlALHSlp72Vl7St6anZ2sL65jFHwIhisZhlGF3Kx3X2C0aZpvlHatVq1amVu3bi2zvYmISPmLjIwEIDY21qX7kEvHH3/8QZMmTVy9jctaWloa1atXJzk5mVWrVtGtWzdXb6lS2bNnD4DdQ/ZEKiP9fSplRfd7IpcPwzAIB9qRX+7CGiy+kPZGcusxA/nrV5LY5uXAMIyfTdNsVfh4ZSqRcQ+5weUcYI6L9yIiIiIiF2j+/PkkJydTu3Ztbr31VldvR0REREQqiLVm8ogCx5YVGnO+7RHk13TGwfriOpWmRIZpmjNM0zRM03Q3TfNvV+9HRERERErv0KFDjB8/HoAnnngCN7dKc9spIiIiIuUskvyaybFlsF4s9jWdC64vrleZMphFRERE5CLXv39/vv/+e+Li4sjJyaFhw4blUmNYRERERCqvKHIzkBeRWy85nNy6uNY+KHlpjAhyy2LEkBtYLtivh/xVDkolEREREZEyEx8fz7FjxwgODubuu+9mzZo1+Pj4uHpbIiIiIuICkeQGl49Tukzm2Ly54XlrOVpfXE8ZzCIiIiJSZvTgJhEREREpWD85HvsSFyWtvWydY81cdjZeXE8ZzCIiIiIiIiIiIlJuIjm/msyx2NdclspNAWYREREREREREREpU1Hk10sGmAK4kx9kLtxvbcfmjXHPm+NsvcJtcR0FmEVERERERERERKTctSM/k3mjg/6N5Gcut6vAfcmFUQ1mERERERERERERKVPF1Vq2BplHFDg2AvuyGJHnsZ64lgLMIiIiIiIiIiIiUmEiyQ8yL8o7pprLFy8FmEVERERERERERKTMRJGfYWytk+yovQjonNeOITe4XNx4R21xPdVgFhEREREREREREZFSUQaziIiIiIiIiIiIlJllTt4XbMeSWxYjJq9tLZFxrlrLylyufJTBLCIiIiIiIiIiIhUmlqIP9LPWZI510Z6k9BRgFhERERERERERkTIVRX695ILtWHIDye7AlAL9U/KOWYPMzuY7a4vrKMAsIiIiIiIiIiIi5W4j+ZnL7Rz0tyM/k3ljBe5LLowCzCIiIiIiJTRz5kwMwyAyMtLVWxERERGp1JZhXy95BJBNflmMwv3WdmTemOy8Oc7WK9wW11GAWURERC5fhmF7xRoGV+T9yTle5zO2XNevIMuWLcMwDAzD4NZbb62w84qUhW+//Zbhw4dzzTXXULVqVby8vAgLC6NTp05MmDCBgwcPunqLIiIil7xY7Gsun0skqsl8MfFw9QZEREREXMlat20ZuTexnYFwIN5BP0AEcJzcp11HOugvrl0e61eEzz//3PZ+3bp1HD16lJo1a1bgDkTOX3x8PIMGDWLdunW2Yx4eHgQGBpKQkMD69etZv349EydOZOTIkbz55psu3K2IiMilJYqKu38W11MGs4iIiEieSHJvXo/jOFMiNq8vnJJlXlT0+uUhISGBFStW4Ofnx8CBA8nJyWHOnDmu3pZIsY4ePUrbtm1Zt24dvr6+PPfcc+zcuZPMzEwSExPJzMxk48aNPPnkk3h6erJo0SJXb1lEROSSFEv53z+L6ymDWURERC5rhTMf4rH/FT5rv/WYNfPC2fxztct6/fI2b948srKy6NOnD8OHD2fevHl8/vnnjBkzpoJ3IlIyOTk59OvXj7/++ovQ0FC++eYbrr/+ersx7u7utG3blrZt2zJy5EieeeYZF+1WRETk0rSMirt/PnmBe5ULpwxmERERkUIisa/5Fsv51Yxz9fplyVoe495776VDhw7UqlWL3bt3s3nz5mLnfffdd/Tp04eaNWvi5eVFUFAQDRo0ICoqiqlTp5KTkwPA+vXrMQwDb29vEhISnK73559/4ubmhmEY7Nmzx3Y8MjISwzCYOXMm6enpjB8/nkaNGuHr60tYWBj9+/dn3759xe41ISGBcePG0bJlS4KDg/Hz86Nhw4b079+f6OjoYucuX76czp07ExwcTEBAAO3atWP+/PkOx8bGxmIYBnXq1LF99qFDhxIWFoabmxtTpkyxG3/8+HGefvppGjdujJ+fH0FBQbRp04a3336bM2fOODzH4MGDMQyD8ePHk52dzZQpU2jRogV+fn6EhIRw5513snXr1mI/04EDBxg+fDh169bFx8eHqlWr0rFjR2bMmEF2drbDOXXq1MEwDGJjY52ua63jfejQoSJ90dHRdO/enfDwcDw9PQkJCaFRo0YMGDCABQsWFLvfwpYuXcqPP/4IwNSpU4sElwurXbu203PExMTQu3dvIiIi8PLyIiIigrvuuotvv/3W6XoFP+eePXu49957qV69On5+flx//fXMnj3bNtY0TaZNm0arVq0IDAwkJCSE/v3789dffzlcu+D3PTk5mWeffZZ69erh6+tL3bp1eemll8jIyLCNX7duHbfddhvVqlXD39+fjh07smHDhmKvh4iISFmIpeLun6USME3zknu1bNnSFBGRi0unTp3MTp06uXobcgn5/fffzzmmF5hm3qtX3qtgOxxM8l7hDvovtH2h65e3nTt3moAZGhpqZmZmmqZpmqNHjzYB85FHHnE6b+rUqbbPBZh+fn6mv7+/3bH09HTb+IYNG5qA+d577zldc+zYsSZg3njjjXbHO3XqZALmu+++a15//fUmYHp7e5u+vr62c4WEhJj79+93uO769evN0NBQ21gvLy+zSpUqdnst6LPPPjMBs1OnTubLL79sAqabm5sZFBRkN+edd94pcq6YmBgTMGvXrm2+9dZbJmAahmEGBweb7u7udnM2bdpkhoSE2NYLDAw0fXx8bO0WLVqYx48fL3KOBx54wATMF154wezWrZsJmJ6enmZAQIBtro+Pj/njjz86vB7Lly+3O09QUJDp6elpa3ft2tVMSUkpMq927domYMbExDhc1zRN2xoHDx60O/7888/bXbvCnzU8PNzpmo7ccsstJmA2adLkvOYV9sILL9j2YP05GYZhOzZmzBiH86z9CxYsMAMDA23XseDct956y8zJyTEHDBhg+xkV/G+kVq1a5j///FNkbev3/T//+Y/ZuHFjEzD9/f3tfkY9evQwTdM0P/zwQ9MwDNPNzc3uO+3l5WV+//3353UtSvL3qUhJ6H5P5PJRoffPUmGAraaDWKwymEVERETEIWv28j333IOnpyeQm8kM8MUXX5CZmVlkTlpaGk8//TQADz30EH/99RepqamkpKSQkJDAqlWrGDBgAG5u+behDz/8MACfffaZw33k5OTY9vLQQw85HDNu3DhOnTrF119/bTvf+vXrqVmzJomJiTz33HNF5hw4cIA777yThIQErrvuOr799lvS0tJISkoiMTGR1atX07t3b4fn2759OxMmTGDixIkkJCRgsViIj4+nT58+ADz33HMkJiY6nHv8+HFGjx7NwIED2bBhA6dOnSIlJcU299SpU0RFRZGYmEjz5s3ZvHkzycnJpKSksGjRIqpWrcr27dttPwtHPvzwQzZv3syCBQtISUnh9OnTbN++nWbNmpGRkcGTTz7p8Hr079+fjIwMOnXqxO7du7FYLJw+fZqpU6fi7e3N2rVrHc4trUOHDvHaa68Budfs5MmTJCcnk56ezvHjx1m8eDF33HFHidfLysrihx9+AKBnz56l3tcXX3zB5MmTAXjsscc4ceIEp06d4uTJkzz++OMAvPbaa8XWIx82bBidOnXizz//xGKxYLFY+Pe//w3ASy+9xEsvvcTy5cuZPXu27We0YcMGIiIi+Ouvv3j99dedrj1hwgRM02TDhg2kpKSQkpLC9OnT8fDwYPny5UycOJERI0YwZswYEhISSEpK4tChQ7Rv357MzExGjhxZ6msjIiIiUoSjqPPF/lIGs4jIxUcZLVLWSpRxVyAjovArBsxqeX8WfF/cnPN5lcn65ejs2bNm9erVTcDcsGGDXV/z5s1NwFy8eHGReZs2bbJlVZ49e7ZE5zp+/LgtA/PXX38t0r969WoTMAMCAszTp0/b9VkzOn19fc19+/YVmbt48WJbVvOZM2fs+vr27WsCZsOGDc3k5OQS7dWawQyYkyZNKtKfnp5uXnHFFSZgfv7553Z91gxmwBwwYIC5e/duc/fu3UXWsGZGBwcHm3FxcU6vB2CuW7fOrs+awezo52aaprl161Zb/6FDh+z6HnroIRMw69WrZ6amphaZa81MNwyjyLUubQbzggULTMBs3Lix03nnY9++fbbzzJs3r1Rr5OTkmPXr1zcBs3///g7HWDOPa9eubWZnZ9v1Wc/foEEDMysry64vOzvbtraj74hpmuasWbNMwLz66quL9Fm/7x4eHg6/79afIWA++OCDRfoPHTpky6Q+fPhwsdehIGUwS1nR/Z7I5aNC75+lwqAMZhEREZGSicW+Zlwk9jXfKvv6ZWHNmjXExcVRu3ZtbrzxRrs+a+asNau4oCpVqgC5maTF1VQuKCwsjB49egDw6aefFum3Zjb37duXgIAAh2v06dOH+vXrFznes2dPDMPgzJkz7N+/33Y8JSWFpUuXAvDyyy8TGBhYor1a+fj4MGLECIfHb7vtNgB27tzpdH5xD5VbvHgxAEOGDCEiIqJI/6233kr79u0BWLhwocM1OnTowE033VTkeMuWLalZsyYAu3btsh03TZMvv/wSgJEjR+Ln51dk7pAhQ6hRowamadr2eKGs35ekpCTS0tIueL2C37mQkJBSrfHrr7/avitjx451OGbcuHEAHD582Gk98lGjRuHhYf9MdTc3N7p06QJAzZo1GTRoUJF5N998MwAHDx4kNTXV4dp9+/Z1+H3v2rWr7b2jrP3atWvb5hX3/RQREblQkVTc/bO4ngLMIiIiclmLyntZRQCdyb95tfZH5h3rnDfG2fxztct6/fJiDR4PGDAAwzDs+qzHVq1axcmT9s/tbtCgAQ0aNCAzM5P27dvzzjvvsHv3bnITHpwbMmQIAHPnzrUrvWGxWFi2LPdZ4dZSGo60bt3a4XFPT0/CwsKA3NITVlu3buXs2bMYhkG3bt2K3Zsj11xzDf7+/g77atSoUeR8Bfn6+tKiRQuHfZmZmbbAX+fOnZ2e3xqk3LZtm8N+Z9fD2f7+/PNPkpKSij2vm5sbkZGRxZ73fLVt25aQkBDi4uJo374906ZN4+DBg2WydmlZP9sVV1xB06ZNHY5p1KiR7To6uxbNmzd3eNz6fbzmmmvsSsVYhYeH295bLJZSre3j4+MwAF1wfWffTxERkbJQkffP4noKMIuIiIjkiQWOA+E4ftp1ZF7fcUqXiVHe65eVpKQkoqOjARg4cGCR/lq1atGhQwfOnj3LvHnz7Prc3d2ZN28eNWrU4M8//+Spp56iSZMmVKtWjb59+/LVV185DDbfdtttXHXVVSQkJLB8+XLb8blz55KRkUGjRo2KZFIXVFwGso+PD5CbVW11/PhxAIKCgggKCnI6t6zOV1BoaKjDwCJAYmIiOTk5QH4g2BFrFnLhAH9p91dwnQs57/mqWrUqs2fPJjg4mN9++43hw4dTt25dqlevzgMPPMB33313XuuFhoba3jurgX0u1s9W3HWAc1+L6tWrOzzu7u5eon5w/h0619zw8PAi/zBUeIyztUVERMpSJOV//yyupwCziIiIXNaW5b1iyf0Vuxgg3kG/VXzeGOuv+xXud9Yur/XLw4IFC8jIyADg2muvxTCMIq/169cDjstktGrVin379jFnzhzuv/9+6tatS2JiIosXL6ZXr17ccccdZGdn281xc3OzPcCv4MP+rO8ffPDBMv2M58qoLk8FA4jFOXPmTDnvpHKct3v37hw6dIhp06Zxzz33cOWVVxIfH8+sWbOIjIxk2LBhJV6rdu3atvIe27dvv6B9uer6i4iIXAoq8v5ZXE8BZhEREbnsxWJf0+1cIjm/mnLlvX5ZcxQ0duaXX35hx44dRY77+vpy77338vnnn3PgwAH+/PNPnnvuOVtpjU8++aTInIceegg3Nze+/vpr4uLi2LFjBz///DPu7u7cf//9F/SZCrPWNk5KSrKVhqgMQkJCbNnNhw8fdjru6NGjQG4Zh7JQcJ3SnNdaa9j6DxOFnesaBwUFMXToUBYsWMCxY8fYtWsXQ4cOBWD69OmsWLHi3B+C3JIo1kz3gpnw58P62f76669ix5X1z0BERORSFkn53j+LaynALCIiIpetKPJvXt2BKYX6iqsFNyVvjvUm2dn48ly/POzfv58ff/wRyH3Y2alTp5y+rA/mK0lA+uqrr+aVV16hX79+AA5LH9SqVYtbbrmF7OxsZs2aZXvg3+233+60JEBptWrVCg8PD0zTZNWqVWW69oXw8vKiWbNmAMTExDgd9+233wLwr3/9q0zOW7duXYKDg4s9b05ODrGxsQ7Pa51rDboWtmXLlvPazzXXXMO0adNo164d4Pj74ow14/n3339nyZIlJZpTMKPd+tlSU1OdPsBv7969HDt2zG68iIiI2Kvo+2dxHQWYRURE5LK1kfzMiHalmN+O/EyMjS5YvzxYg8UtWrSgRYsWBAcHO3317Zv73O65c+faSl4UfECfI76+voDz8gPWrNVPP/2UuXPnAsU/3K+0AgICuOuuuwAYN24cp0+fLvNzlFafPn0AmDlzJnFxcUX616xZw08//QTAPffcUybnNAyD3r17A/Duu++SlpZWZMyMGTM4duwYhmHY9mhlfeictXZ3QaZp8vrrrzs874V+Xxzp3bu3LTA9bNgwfvnll2LHHz582PYPHwDXXXed7QF5r7zyisM548ePB6BOnTq0adOmxHsTERG53JX3/bO4hgLMIiIictnKJv/X7kpaC65wOzJvjWxgRIH+ERWwflkzTZPZs2cD2IKNxenRoweenp7Ex8ezevVqAFauXEn79u2ZPn26XamFtLQ0pk+fbgsa33bbbQ7X7NmzJ2FhYezdu5eTJ08SFhbGHXfccaEfzaFXXnmFwMBA9u7dS8eOHYmJibE9YM9isbBixYpyO3dxHnvsMapXr056ejrdunVj69atAGRnZ/Pll1/Sv39/ALp27UqXLl3K7LzPP/88/v7+/P3339xxxx3s2bMHyA3uTp8+nSeeeALIDfhbA7BW1kD3ihUreP3110lNTQXg0KFDDBgwwPYZCvv444+57bbbmDdvnl0w3WKx8Morr9gypp19Xxxxc3Nj4cKF1KxZk4SEBG666SZeeOEF/vjjD9uY7OxsNm/ezMiRI2ncuLFdprJhGEyaNAnIDZg//vjjJCQkAJCQkMATTzzB/PnzAZg0aZLTBzaKiIhc7ir6/llcx8PVGxARERFxlbKq6RZJfibGorxjZVkzztn6J8tg7YJiY2NtQeG77777nOODg4Pp0qULq1ev5vPPP6d79+4AbNy4kY0bc3NSfH198fHxwWKx2MoQdO/e3emD2zw9Pbn//vt56623ALjvvvvw9PS84M/mSP369YmOjqZ37978+uuvdOnSBW9vb3x8fFxal7lq1aosW7aMbt268dtvv9G6dWsCAwPJysqye/iiNVhfVurVq8f8+fO55557iI2NpXHjxgQHB5OamkpWVhYAN998M1OmTCky9/bbb6d3794sWbKEMWPG8Pzzz1OlShUsFgs+Pj5ER0c7DBKbpsmaNWtYs2YNAP7+/nh6emKxWGxjhg0bZvtuldRVV13F5s2bGThwILGxsbzyyiu88soreHp6EhgYiMVisf1jgqenJ4MGDbKb369fP3bs2MHkyZP54IMP+OijjwgKCiIpKck2b8yYMdx7773ntS8RERHJFUn53j9LxdI/t4uIiMhlK9I0oYxekabJybw/C74vz/XLmrU8RsOGDWnatGmJ5lgD0dHR0VgsFrp06cLs2bN54IEHaN68OX5+fpw+fZrQ0FC6du3K559/zvLly20PhXOkYPb0Qw89dAGf6Nw6d+7Mnj17GD16NM2aNcPDw4OzZ8/SsGFDBgwYwFdffVWu53emTZs2/P7774wcOZKGDRuSlZWFh4cHrVq14s0332TTpk2EhYWV+Xl79OjBjh07GDp0KHXq1CEtLQ0/Pz9uuukmpk2bxurVq/H393c4d/78+UyePJlGjRrh4eGBp6cnd999N5s2beLWW291OGfgwIFMnz6dfv360aRJEzw9PUlJSaF69er07NmT6Ohopk6dWqrPUr16dWJiYvjmm28YMmQIjRs3xs/Pj+TkZEJDQ+nUqRMTJ07kwIEDtozlgiZNmsS6devo1asX1apVIyUlhdDQUHr27MnatWt59dVXS7UvERGRy0FxtZKt7UhyA8qd817W4PK5ai2r9nLlY5jl8D8nrtaqVSvT2a/hiYhI5RQZGQlg+3VokQv1xx9/0KRJE1dvQ0ph8uTJjB07lrZt29oyoS9F1hIUjRo1cvFORIqnv0+lrOh+T+TyEWUYtvIV1mCwo3YsucFlgBjyA8zOxjtqcwnGNisrwzB+Nk2zVeHjKpEhIiIiIpVGdnY2M2bMAHBaRkNEREREKrfCtZId9cWSWxYjJq9tLZHhbLyztrieSmSIiIiISKVgmiYvv/wyhw4dIjw8nAEDBrh6SyIiIiJSDmKxr7kcSX5N5lgX7UlKTxnMIiIiIuJSGzdupH///pw6dYrk5GQAXnnlFXx9fV28MxEREREpLWelLUaQG0h2B6aQ/1C/KXnHrIHnKU7mOy2VIS6jDGYRERERcamMjAwOHz5Meno6jRs3Ztq0aeX+cD8RERERqXgbyQ8gt3PQ3478TOZL90kclx5lMIuIiIiIS0VGRnIpPnhaRERE5HJWOLPYmrlcsCyGs/HWIPOIYtZT5nLloQxmERERERERERERKTex2AeXzyUS1WS+mCiDWURERERERERERMpMFPkZxhHAcSCG3MDxuWopF2wvAjoD4UC8k/HiespgFhERERERERERkTIXS25wOZySZS4XFpk39ziOM5kdHZOKpwxmERERuWSZpolhGK7ehojIRUv1dNGVmgAAIABJREFU0UVEpDSWkV8Ww5q5XLCv8Nji2vHYl9iw9luPnbzAvcqFU4BZRERELknu7u5kZ2fj4aHbHRGR0srJycHNTb/4KiIi5yeW86u5fC6R5NdkXpR3rOB7cS3dKYiIiMglyc/Pj5SUFFdvQ0TkopaWloavr6+rtyEiIheZzoA7MKXAsSjy6yeXpj0lb83OTtYX11GAWURERC5JVapUITExkezsbFdvRUTkomSaJhaLBX9/f1dvRURERCox/c6oiIiIXJICAwNJT0/n8OHDhISEEBAQgLu7u2oyi4icg2maZGZmkpCQwNmzZ6lataqrtyQiIheZGHJLWIwocOx8ay8Xbo8gv6YzDtYX11GAWURERC5JhmEQFhbG6dOnSU5O5sSJE8pmlkolPj4eyK1xK1LZeHh4EBQURFhYmGowi4jIeYvEvmZy5AWuF+tgLev6esif6ynALCIiIpcswzCoUqUKVapUcfVWRIr4v//7PwBiY2NduxERERGRMhZFbgbyInLrJYcD8QX6ID9D+VztCOA4uZnLkYX69ZC/ykH/FC0iIiIiIiIiIiJlLpL/Z+/ug2X70oK+f9ecQRwYUBx+nBuBcUTepuQtcIFTBsi+KJIKUQ7GIIlogFAjJkFOiQaERN4s8YUqjpGomSg1IALhSLwUEEOmwl1oYg7jb4JAhBol4ojgPV7CZGAAxWFW/ui9p/fp27u7d/favXev/f1U3Zreb4t9HtZ6dvf6rX56Mbl8x2IVcl+xvvac9aug1+3T8bmCWZIkSZIkSVI27frJT7lf4mLX2svNNc3K5a7zNT5XMEuSJEmSJEkaTMWyZnLc4fxIvvrNGp4TzJIkSZIkSZKyumRZLxngGjhjOcm8erzZjvU5Z/U1Xe2tbms8TjBLkiRJkiRJGtwFy5XMt2uO37JcuXxxxPvSYazBLEmSJEmSJCmrTbWWm0nmq9a+K+6Xxah6tKdxOcEsSZIkSZIk6WgqlpPMN/U+ay6fLieYJUmSJEmSJGVzyXKFcVMned32DfCo3n7CYnJ50/nrtjU+azBLkiRJkiRJkvbiCmZJkiRJkiRJ2TzueN3ejizKYjypt5sSGdtqLbtyeXpcwSxJkiRJkiTpaCLP/6BfU5M5jnRP2p8TzJIkSZIkSZKyumRZL7m9HVlMJJ8B163j1/W+ZpK56/qubY3HCWZJkiRJkiRJg7tluXL5Ys3xC5YrmW+PeF86jDWYJUmSJEmSJGW1Wiv5iufLYnSd30wyX21oz1rM0+EKZkmSJEmSJEmDidyfXN6mwprMp8QVzJIkSZIkSZKyuWS5wvgBcAc8YTFx3NRNftw6t2v7BngEnANPO87X+FzBLEmSJEmSJCm7yGJy+ZzdVi6vqupr71i/knndPh2fK5glSZIkSZIkZfOYZVmMZuVy+9jquZu2n3K/xEZzvNn37MB71eGcYJYkSZIkSZKUTaRfzeVtKpY1mW/qfe3XGpclMiRJkiRJkiRl8wg4A65b+y5Z1k/eZ/u6bvNRR/sajxPMkiRJkiRJkqS9WCJDkiRJkiRJUjZPWJSwuGrt61t7eXX7imVNZ9a0r/G4glmSJEmSJElSNhXLmskxQ3uR+zWd2+1rfK5gliRJkiRJkpTNJYsVyDcs6iWfA09bx2C5Qnnb9gPgjsXK5WrluD/yNw2uYJYkSZIkSZKUXcVicvmO/VYyx/ra87qtde1rfK5gliRJkiRJkpRNu37yU+6XuNi19nJzTbNyuet8jW9yK5hDCB8QQvj6EMKPhxDeFkJ4a/36G0MI/+7Y9ydJkiRJkiRpdxX9ajJH7tdc1rRNagVzCOHzgG8AXlbv+kXgXYAPrf+9A/iBce5OkiRJkiRJ0i5WaylfA2csJ46vV44351/V55zV51Qd7a1uazyTWcEcQvgs4K+ymFz+BuC3pJRenlJ6Nxb1vP8A8PdGvEVJkiRJkiRJe7pguZL5ds3xW5YT0BdHvC8dZhIrmEMI7wP8JSAAX5ZS+tr28ZTSHfAtY9ybJEmSJEmSpH421VpuJpmvWvualctNWYyqR3sa1yQmmIE/DLwX8Cbgz458L5IkSZIkSZIGUrGcZL6p91lz+XRNZYL599f/+80ppXeMeieSJEmSJEmS9nZJd63k9vYN8KjefsJicnlbrWVrL0/P6DWYQwivAD6o3vzfQwifHEL4vhDCW0IIvxRC+LEQwp8JIbz3mPcpSZIkSZIkSbpvCiuYP6j1+ncCX8aiFvMv1PteXf/77BDCp6SUfvzI9ydJkiRJkiRpR487Xre3I4uyGE/q7aZExrZay65cnp7RVzADv771+suAfwh8fErpPYGXA/8+8C+B9wW+M4SwdlI8hPCaEMKLIYQXnz17NvQ9S5IkSZIkSdpD5Pkf9GtqMseR7kn7m8IEc/sefhX4jJTSGwBSSu9IKf1t4PPq468GPmNdIyml16aUHqaUHr7wwguD3rAkSZIkSZKkbpcs6yW3tyOLieQz4Lp1/Lre10wyd13fta3xTGGC+W2t19+bUvqJ1RNSSt8L/KN683cc5a4kSZIkSZIkZXPLcuXyxZrjFyxXMt8e8b50mCnUYP6Z1us3bTjvTcAHA+8/7O1IkiRJkiRJOsRqreQrni+L0XV+M8l8taE9azFPxxRWMP8T4Jfr12mH83c5R5IkSZIkSdIERO5PLm9TYU3mUzL6BHNK6R0s+8qHbjj1Q+r/ffOgNyRJkiRJkiRpb+3ayA+ARywnl3etrVzV1zyq2+g6X+MbfYK59tfr//20EMIHrh4MIXwai/IYAP/z0e5KkiRJkiRJ0l4icAecs9vK5VVVfe0d61cyr9un45tCDWaA/xH4YuBjgL8VQvi8lNLfDyG8BPidwF+rz3sD8L0j3aMkSZIkSZKkLR6zLIvxhPuTy9tqKa9uP+V+iY3meLPv2YH3qsNNYoI5pfSOEMIl8APAhwFvCCH8AnAGvFt92puA35tSsgazJEmSJEmSNFGRfjWXt6lY1mS+qfe1X2tcUymRQUrpnwMfCXwV8H+zmFxOwA8BXw48TCn91Hh3KEmSJEmSJGmbRywm9q5b+3atvdy1fV23+aijfY1nEiuYGymltwFfWf+TJEmSJEmSJE3YpCaYJUmSJEmSJJ22JyxKWFy19vWtvby6fcWypjNr2td4JlMiQ5IkSZIkSdLpq1jWTI4Z2ovcr+ncbl/jcwWzJEmSJEmSpGwuWaxAvmFRL/kceNo6BssVytu2HwB3LFYuVyvH/ZG/aXAFsyRJkiRJkqTsKhaTy3fst5I51tee122ta1/jcwWzJEmSJEmSpGza9ZOfcr/Exa61l5trmpXLXedrfK5gliRJkiRJkjSYin41mSP3ay5r2pxgliRJkiRJkpTVJct6yQDXwBnLSebV4812rM85q6/pam91W+NxglmSJEmSJEnS4C5YrmS+XXP8luXK5Ysj3pcOYw1mSZIkSZIkqS2Egy6PPF/iYd2+d0rpoP97U7Sp1nIzyXzV2nfF/fhUPdrTuJxgliRJkiRJkjKqWE6i3tT7rCm8VGF8SuIEsyRJkiRJktRyyXKFbFPnd5/tG+BRvf2ExeTpuvNLW427a/x2jc+mbY3PGsySJEmSJEmSpL24glmSJEmSJElqedzxus92ZFH24Um93ZSAmEMt4V3iF9kvPiXG69S5glmSJEmSJEnKKPL8D9Y1NYfjSPc0JRHjUxInmCVJkiRJkqSWyKLW72Vr367bkcVE6Rlw3Tp+Xe9rJlFXry9N7vhs29Z4nGCWJEmSJEmSWv4j4HaP625Zrsy9WHP8guVK3X3aP3XGp0zWYJYkSZIkSZJamknOq9a+bbWAr3i+7EPX+evaL03u+FiLebpcwSxJkiRJkiS1VPSrCRy5P3mau/1TFzE+JXMFsyRJkiRJktRyyWKF7A3wCDgHnraOwXIF7QPgDnjCYmJ09fim7ab9lPXux9fED/LEZ1P8NT5XMEuSJEmSJElrVCwmN+9Yv5I21sfO2W1lblf7pYrkic+m+Gt8rmCWJEmSJEmSWtqrY59yv8RDc6zZ16zMXXftLttPKc9j8sanaWtd/J8deK86nBPMkiRJkiRJ0gYVy5rAN/W+PjWF5yaSNz4V3fHX+CyRIUmSJEmSJK24ZFnvF+AaOGNRE/hR/fp6w/l9t0syRHy2xV/jcYJZkiRJkiRJkrQXS2RIkiRJkiRJK1ZrAV+xrClM/fpqw/l9t0vyhPzx2RZ/jccVzJIkSZIkSdIGkfs1hSuWNYHjSPc0ZRV54xPpjr/G5wSzJEmSJElDCoEHIRBCIIYAIXBZ/6PeF+pzWHN8l+2mfUl5tGv/PmBR87eZ3GxqA1f1vkf1Oe1r+9QWbl9bitzx2RR/jc8JZkmSJEmSBhSBO+CcxYTIqqo+dsd+K/3a7UvKK3Kc8Vuqinz5repoX+OzBrMkSZIkSQNqaoZWrX2rtUWfcv8r4LvWJm2uWW1f0mEe0z2+hhi/pWn/zbnzW8m1q0+VK5glSZIkSRpQ87XubSr61SyN3K9JKimfSL/xVeH43aTC+JTMCWZJkiRJkgZ03Xq9rdboNXDGchKm6/xYn3O20r6kPNaNL8dvP7njsy3+Go8TzJIkSZIkTcgFy5V+t2uO37Jc2XdxxPuS5mTf8eX43cz4lMkazJIkSZIkDehxx+tt280kzFVr3xX3vzZeZblDSasqnh9fjt9+csdnW/w1HieYJUmSJEmaoIrlJMxNvc+apNJpqHD8blJhfEriBLMkSZIkSQNr6oQ+3mP7BnhUbz9hMfmy7XpJh7lkv/G6ur3r+C1t7O4av33ym/lueqzBLEmSJEmSJEnaiyuYJUmSJEkaWJ/are3tyOJr40/q7eYr5NYilYa1b+309nZkvuN3l/hF9otPifE6da5gliRJkiRpgiLP/+BVU7M0jnRPknYTcfxuEjE+JXGCWZIkSZKkAV2uvN5lO7KYaDkDrlvHr+t9zSTM6vWS8ojsPl5XtyOOX8gfn23bGo8TzJIkSZIkTcgty5V9F2uOX7Bc6Xd7xPuS5mTf8eX43cz4lMkazJIkSZIkDeiq9XpbLdErnv/aeNf5zSTMFZJyWze+HL/95I6PtZinyxXMkiRJkiQNaNeaopH7ky/bVFizVBpKRb/xFXH8bhIxPiVzBbMkSZIkSQO6AR4B58DTel9TN7RZgfcAuAOesJhYWT2+aXtd+5IOc0n3+Bpi/Kasdz++Jn6QP7+tnq/xuYJZkiRJkqQBVSwmR+5YvxIv1sfO2W1l36b2JeVVcZzxW6pIvvwWO9rX+FzBLEmSJEnSwJ5y/yvizcq7Zl+zsq+xrdbo6nbTvqQ82mPsGOO3NI/Jn9+64v/swHvV4ZxgliRJkiTpCCqWNUVv6n19apLu0r6kYVQMO35LE8mf37rir/FZIkOSJEmSpAFdtl5fA2csaoo+ql9fr5x7ecC2pHxWx5fjd3dDxGdb/DUeJ5glSZIkSZIkSXuxRIYkSZIkSQNq1xO9YlmTlPr1Vce5+2xLymd1fDl+d/eE/PHZFn+NxxXMkiRJkiQdQeR+TdKKZU3RmKl9ScOIDDt+S1ORP791xV/jcwWzJEmSJEkDewDcsVh5V7GsK/qYxSTJI+AceFrvbx/fZbtpP2W+b2muLnl+fA05fptrS9HEL2d+64q/xucKZkmSJEmSBhRZTI6cs5gcWVXVx+7Yb6Vfu33pnhAgBC7rf+u2YwiEEHjQcZz6WKjP7WqvVJHjjN9SVeTLb1VH+xqfK5glSZIkSRpQUzO0au1brS36lPtfAd+1NmlzzWr7Ulvf/nNo/yzBY4aLz7r4l6b9N+fObyX2t1PnCmZJkiRJkgbU1AzdpqJfzdLI/ZqkUh+Rfv2nYl41hyPDxqdv+6euwviUzAlmSZIkSZIGdN16fcmyfui67WvgjOUkTNf5sT7nbKV9qa1v/zm0f5ZkiPjMbfzmjs+2+Gs8TjBLkiRJkjQhFyxX+t2uOX7LcmXfxRHvS6dniP6zrX+WYqj4zH38Gp8yWYNZkiRJkqQBPe54vW27mYS5au274v7Xxqssd6hS/Sr9+s+h/bMkFfnjM7fxmzs+c6j9faqcYJYkSZIkaYIqlpMwN/U+a5KqjyH7T7XSfo42S1Lh+N2kwviUxAlmSZIkSZIG1tQJfbzH9g3wqN5+wmLyZdv1Eiwn8fr2n336Z8p0z1NxSd74wOb4lzZ2d41fjv6p8VmDWZIkSZIkSZK0F1cwS5IkSZI0sD61W9vbkcXXxp/U281XyK1Fql1E9us/+/bPkuxbO729HZnv+N0lfpE8/VPjcwWzJEmSJEkTFHn+B6+amqVxpHvSaRmy/0SsmbtJxPG7ScT4lMQJZkmSJEmSBnS58nqX7chiouUMuG4dv673NZMwq9dLbX37z6H9sySR/PGZ2/jNHZ9t2xqPE8ySJEmSJE3ILcuVfRdrjl+wXOl3e8T70ukZov9s65+lGCo+cx+/xqdM1mCWJEmSJGlAV63X22qJXvH818a7zm8mYa6Q1tvU39b1n0P7Z0mGiM/cxm/u+FiLebpcwSxJkiRJ0oB2rSka6VfTtsKapdpfRb/+E5lXzeWKYePTt/1TFzE+JXMFsyRJkiRJA7oBHgHnwNN6X1M3tFmB9wC4A56wmFhZPb5pe137Ulvf/rNP/yxtNWnzNx1r/Kasdz++dp/Ind9Wz9f4XMEsSZIkSdKAKhaTI3esX4kX62Pn7LcytN2+1FfFsP3z1FUcZ/yWKpIvv8WO9jU+VzBLkiRJkjSwp9z/iniz8q7Z16zsa2yrNbq63bQvrbNr/8nVP0vQ/puOMX5L85j8+a0r/s8OvFcdzglmSZIkSZKOoGJZU/Sm3pezpm2ONjRfFcP2z1NXYXz6iOTPb13x1/gskSFJkiRJ0oAuW6+vgTMWNUUf1a+vV869PGBbauvbfw7tn6XJHZ85xW+I+GyLv8bjBLMkSZIkSZIkaS+WyJAkSZIkaUDteqJXLGuSUr++6jh3n22prW//ObR/liZ3fOYUvyfkj8+2+Gs8rmCWJEmSJOkIIvdrklYsa4rGTO1L+4oM2z9PXcT49FGRP791xV/jcwWzJEmSJEkDewDcsVh5V7GsK/qYxSTJI+AceFrvbx/fZbtpP2W+b5Vh1/5zSP8sbTVu+286xvhtri1FE7+c+a0r/hrfJFYwhxA+J4SQtvx729j3KUmSJElSX5HF5Mg5i8mRVVV97I79Vvq125f6igzbP09d5Djjt1QV+fJb1dG+xje1Fcz/Bvi5jmO/eMwbkSRJkiQph6ZmaNXat7ra8yn3vwK+a23S5prV9qW2vv3n0P5ZgscMF5918S9N+2/Ond9K7G+nbhIrmFv+XkrpQce/3zL2zUmSJEmS1FdTM3Sbin41SyP3a5JKfUT69Z+KedUcjgwbn77tn7oK41OyqU0wS5IkSZJUlOvW60uW9UPXbV8DZywnYbrOj/U5ZyvtS219+8+h/bMkQ8RnbuM3d3y2xV/jcYJZkiRJkqQJuWC50u92zfFbliv7Lo54Xzo9Q/Sfbf2zFEPFZ+7j1/iUaWo1mCVJkiRJKsrjjtfbtptJmKvWvivuf228ynKHKtWv0q//HNo/S1KRPz5zG7+54zOH2t+namoTzL81hPAPgQ8A3g68GXg98N+mlH5y1DuTJEmSJOmIKpaTMDf1PmuSqo8h+0+10n6ONktS4fjdpML4lGRqE8zvDbwCeAvwnsBvrf/9oRDC56eUvrXrwhDCa4DXALzyla88wq1KkiRJkrSbpk7o4z22b4BH9fYTFpMv266XYDmJ17f/7NM/U6Z7nopL8sYHNse/tLG7a/xy9E+Nbyo1mH8G+Argw4Bfm1J6BfBy4NOAHwNeBnxzCOGTuhpIKb02pfQwpfTwhRdeOMY9S5IkSZIkSdKshZSm/d+YQgi/DngR+EDg/0wp/bZt1zx8+DC9+OKLg9+bJCmfqqoAiDGOeh+SdCzmPWlGQtj70kjPr5BP+DO+ee/4YgiDliCI7TYn3Pf2csC4bUR6jN8Zxi+SqURGabGbsBDCG1NKD1f3T2UFc6eU0luBP11vXoQQXJ4sSZIkSSpe5PkfvGpqlsaR7kmnZcj+E7Fm7iYRx+8mEeNTkslPMNd+sP7fALxqxPuQJEmSJKmXy5XXu2xHFhMtZ8B16/h1va+ZhFm9Xmrr238O7Z8lieSPz9zGb+74bNvWeE5lgrm9rt5175IkSZKkYt2yXNl3seb4BcuVfrdHvC+dniH6z7b+WYqh4jP38Wt8yvTSsW9gRx/Xev3m0e5CkiRJkqSerlqvH68cW92+4vmvjXed30zCXCGtt6m/res/h/bPkgwRn7mN39zx2RZ/jWf0FcwhbK76HUJ4T+BL6803pJSeDX9XkiRJkiTlsWtN0Ui/mrYV1izV/ir69Z/IvGouVwwbn77tn7qI8SnZFFYw/6YQwrcD/wPw+pTSPwMIIfwa4JOBPw98MPAO4E+MdpeSJEmSJO3hBngEnANP631N3dBmBd4D4A54wmJiZfX4pu117UttffvPPv2ztNWkzd90rPFbWj3Ydp/Ind9Wz9f4Rl/BXPt44K8Cbw4h/HII4WeBtwF/G/gw4JeAz0kpff+I9yhJkiRJUm8Vi8mRO9avxIv1sXP2Wxnabl/qq2LY/nnqKo4zfksVyZffYkf7Gt8UVjDfAX8E+ATgI4EXgF8H/CLwj4H/DfjLKSVrL0uSJEmSTtJT7n9FvFl51+xrVvY1ttUaXd1u2pfW2bX/5OqfJWj/TccYv6V5TP781hV/a+mOb/QJ5pTSLwN/sf4nSZIkSVKRKpY1RW/qfTlr2uZoQ/NVMWz/PHUVxqePSP781hV/jW8qJTIkSZIkSSrSZev1NXDGoqboo/r19cq5lwdsS219+8+h/bM0ueMzp/gNEZ9t8dd4nGCWJEmSJEmSJO1l9BIZkiRJkiSVrF1P9IplTVLq11cd5+6zLbX17T+H9s/S5I7PnOL3hPzx2RZ/jccVzJIkSZIkHUHkfk3SimVN0ZipfWlfkWH756mLGJ8+KvLnt674a3yuYJYkSZIkaWAPgDsWK+8qlnVFH7OYJHkEnANP6/3t47tsN+2nzPetMuzafw7pn6Wtxm3/TccYv821pWjilzO/dcVf43MFsyRJkiRJA4osJkfOWUyOrKrqY3fst9Kv3b7UV2TY/nnqIscZv6WqyJffqo72NT5XMEuSJEmSNKCmZmjV2re62vMp978Cvmtt0uaa1faltr7959D+WYLHDBefdfEvTftvzp3fSuxvp84VzJIkSZIkDaipGbpNRb+apZH7NUmlPiL9+k/FvGoOR4aNT9/2T12F8SmZE8ySJEmSJA3ouvX6kmX90HXb18AZy0mYrvNjfc7ZSvtSW9/+c2j/LMkQ8Znb+M0dn23x13icYJYkSZIkaUIuWK70u11z/Jblyr6LI96XTs8Q/Wdb/yzFUPGZ+/g1PmWyBrMkSZIkSQN63PF623YzCXPV2nfF/a+NV1nuUKX6Vfr1n0P7Z0kq8sdnbuM3d3zmUPv7VDnBLEmSJEnSBFUsJ2Fu6n3WJFUfQ/afaqX9HG2WpMLxu0mF8SmJE8ySJEmSJA2sqRP6eI/tG+BRvf2ExeTLtuslWE7i9e0/+/TPlOmep+KSvPGBzfEvbezuGr8c/VPjswazJEmSJEmSJGkvrmCWJEmSJGlgfWq3trcji6+NP6m3m6+QW4tUu4js13/27Z8l2bd2ens7Mt/xu0v8Inn6p8bnCmZJkiRJkiYo8vwPXjU1S+NI96TTMmT/iVgzd5OI43eTiPEpiRPMkiRJkiQN6HLl9S7bkcVEyxlw3Tp+Xe9rJmFWr5fa+vafQ/tnSSL54zO38Zs7Ptu2NR4nmCVJkiRJmpBbliv7LtYcv2C50u/2iPel0zNE/9nWP0sxVHzmPn6NT5mswSxJkiRJ0oCuWq+31RK94vmvjXed30zCXCGtt6m/res/h/bPkgwRn7mN39zxsRbzdLmCWZIkSZKkAe1aUzTSr6ZthTVLtb+Kfv0nMq+ayxXDxqdv+6cuYnxK5gpmSZIkSZIGdAM8As6Bp/W+pm5oswLvAXAHPGExsbJ6fNP2uvaltr79Z5/+Wdpq0uZvOtb4TVnvfnztPpE7v62er/G5glmSJEmSpAFVLCZH7li/Ei/Wx87Zb2Vou32pr4ph++epqzjO+C1VJF9+ix3ta3yuYJYkSZIkaWBPuf8V8WblXbOvWdnX2FZrdHW7aV9aZ9f+k6t/lqD9Nx1j/JbmMfnzW1f8nx14rzqcE8ySJEmSJB1BxbKm6E29L2dN2xxtaL4qhu2fp67C+PQRyZ/fuuKv8VkiQ5IkSZKkAV22Xl8DZyxqij6qX1+vnHt5wLbU1rf/HNo/S5M7PnOK3xDx2RZ/jccJZkmSJEmSJEnSXiyRIUmSJEnSgNr1RK9Y1iSlfn3Vce4+21Jb3/5zaP8sTe74zCl+T8gfn23x13hcwSxJkiRJ0hFE7tckrVjWFI2Z2pf2FRm2f566iPHpoyJ/fuuKv8bnCmZJkiQd1WUI71yR0tTVa7YfAHcsf228fTyyqLd3zvLX1levX90mpXw3LkkH2JTfbuif37ryp1lP6+zafw7pn6Wtxm3/TccYv821pWjilzO/dcVf43MFsyRJkiYhsvjwcM76Xxuv6mN3uFJI0mmJDJvf2u1LfUV8/m4SOc74LVVFvvxWdbSv8bmCWZIkSUf1eM3ryLKmXtVxLixWvjTn3qw5XtrqKUllGCK/bcufUlvf/uPzd/ntqWON39K0/+bc+a3E/nbqXMEsSZKkUUXu19TbpsKah5JOy1D5LdIvf0ptEZ+/m0SGjU/f9k9dhfEpmRPMkiRJOrrL+l9k8eHhDLhec7xr+7q+pvmQsu18SRrTEPktsj5/Sm19+8+h/bMkQ74/iR3tlyZ3fHy/N11OMEuSJGkUtyxXplzscf0Fy5Uwtx3tS9Ip2iW/HZI/NR9WY8tqAAAgAElEQVRD9J9t/bMUQ74/mfP4NT5lCqnAX9Z++PBhevHFF8e+DUlSD1VVARBjHPU+JB1BCFm/9riurWbfswm/1zXvSTMSwl6XRbrzW2f+NO+p5YUQ+vWfHp5ra8J9by97jttGpOf4nVn8Invkty6lxW7CQghvTCk9XN3vj/xJkiTpqCJ5a+pVLFfC3NT72q8l6VRVdOe3apxb0okZsv9UK+3naLMkFY7fTSqMT0mcYJYkSdJRPWL5a+BN3bzm18AP2b6p24bnf21cksaWO79tu16C5SRe3/6zT/8sbQ3pJcO9P1l3fmljd9f45eifGp81mCVJkiRJkiRJe7EGsyRpEqzJJ81HDCH7VyAjHV+xnPB7XfOeNCMH1HKN9PwKuXlPLe1nLuQvQRA5jWfuXg6swQw9x+8M4xfJVCKjtNhNWFcNZlcwS5Ik6agqljX3Yob2Ivc/kLTbl6RTFunOb3Gke9JpGbL/RKyZu0nE8btJxPiUxAlmSZIkHd01cMbyQ8Qly3p69NiOdRtndZur7UvSFAyR37ryp9TWt/8c2j9LEhnu/clcxm/u+Gzb1nicYJYkSdIoLliuVLnd4/pblitfLjral6RTtEt+OyR/aj6G6D/b+mcphnx/Mufxa3zKZA1mSdIkWJNPmpGVmnyR/l+x3fmaCb/XNe9J8xFDyJ/fus4176ltQx3cSObn74T73j72+c2IyAHjt7D4ret7kQPzW5fSYjdh1mCWJEnSJFX0q7kXseajpNMyVH6rsGap9lfh83eTimHj07f9UxcxPiV76dg3IEmSpHm5BB63XlNv3wCPgHPg6ZrjAA+AO+AJiw8eq8dXtyVpCobIb9vyp9TWt//s0z9Le/Y2f9Oxxm9pa3DbfSJ3fvP93vS4glmSJEmTULH48HDH+pUqsT52zjxWTkkqR8Ww+a3dvtRXhc/fTSqOM35LFcmX32JH+xqfNZglSZNgTT5pRjbUg4T1X6Fct28nE36va96TZqTOe5GM+W2NCFTmPbVteea2RQ7snxPue3vZ4Tcj1u3bW4Hxi+TNb13xf1Za7CasqwazJTIkSZI0KRXLmns39b451XyUVK6KYfNbjjY0XxU+fzepMD59RPLnt674a3yWyJAkSdLRXbKsn7du+xo4Y1Fz71H9+rrH9avbkjSmIfOb+U6b9O0/h/bP0gz9/qTk+A0Rn23x13icYJYkSZIkSZIk7cUazJKkSbAmnzQjO9SDjGT6CuqE3+ua96QZaeW9yMBfsTfvqa1HDWY4sH9OuO/tZU3sIgOO38LiF0PInt8iHfEvLHZT1lWD2RXMkiRJmpTI/Q9sFcuae3Gke5KkHCLD5rccbWi+Ij5/N4kYnz4q8ue3rvhrfP7InyRJko7qEnjcek1r+wFwBzxh8cGhffyGRb29c+Bpx/Wr25I0FbnzW1f+dB2f1tm1/xzSP0t79rb/pmOM3+baUjTxy5nfuuKv8bmCWZIkSZMQWXx4OGf9Vymr+tgdrhSSdFoiw+a3dvtSXxGfv5tEjjN+S1WRL79VHe1rfK5gliRJ0lE9XvM6sviKY7MyZd25sFj50px7s+Z4aaunJJVhiPy2LX9KbX37j8/fxd8UOd74LU37b86d30rsb6fOFcySJEkaVaTfj+RUWPNQ0mkZKr9FBviRQM1GxOfvJpFh49O3/VNXYXxK5gSzJEmSju6y/hdZfHg4A67XHO/avq6vaT6kbDtfksY0RH6LrM+fUlvf/nNo/yzJkO9PYkf7pckdH9/vTZcTzJIkSRrFLcuVKRd7XH/BciXMbUf7knSKdslvh+RPzccQ/Wdb/yzFkO9P5jx+jU+ZQkr7/cZsCOHXAO8N/HJK6S1Z7+pADx8+TC+++OLYtyFJ6qGqKgBijKPeh6QjCCHr1x7XtdXse7bne91jMO9JMxLCXpdFuvNbZ/4076nlhRD69Z8enmtrwn1vL3uO20ak5/idWfwie+S3LqXFbsJCCG9MKT1c3b/zj/yFEN4D+CzgU4BPAl5oHXs78CPA9wP/U0rpBw++Y0mSJBUpkremXsVyJcxNva/9WpJOVUV3fqvGuSWdmCH7T7XSfo42S1Lh+N2kwviUZOsEcwjhfYH/Bvj9wLvXu/8/4E3AzwEvA14BfBTwMcAfCyH8A+DrUkrfNsRNS5Ik6XQ9Yvlr4E3dvObXwA/Zvqnbhud/bVySxpY7v227XoLlJF7f/rNP/yxtDeklw70/WXd+aWN31/jl6J8a38YJ5hDCVwFfDLwr8Hrg24H/I6X0/6w5992AjwM+lcVk9N8IIXwR8JqU0o/kvnFJkiRJkiRJ0rg21mAOIfwS8FeAP59S+hc7NxpCAP4D4CuB70opffWB99mLNZgl6fRYk0+ajxhC9q9ARjq+YjnhmnzmPWlGDqjlGun5FXLznlraz1zIX4IgchrP3L0cWIMZeo7fGcYvkqlERmmxm7B9azB/YErpZ/r+H0uLWevvBr47hPCg7/WSJEkqV0Xemo1xTVtN+88ObFuSxhTpzm/WKdUuhuw/MWNbJYo4fjeJGJ+SvGTTwX0ml9e08fTQNiRJklSWa+CMxYeIyKKW3mXr+K7bsW7jrG5ztX1JmoIh8ltX/pTa+vafQ/tnSSLDvT+Zy/jNHZ9t2xrPxgnmPkII7xVCePftZ0qSJElwwXKlyu0e19+yXOVy0dG+JJ2iXfLbIflT8zFE/9nWP0sx5PuTOY9f41OmjTWYnzs5hN/O4kf8vjal9JZ63/uw+P/9JwBvB/67lNIfHeBed2YNZkk6Pdbkk2ZkpSZfpP/XIXe+ZsI1+cx70nzEEPLnt65zzXtq21AHN5L5+TvhvrePfX4zInLA+C0sfuv6XuTA/NaltNhNWFcN5r4rmL8Q+D3N5HLt64BPBH4C+H+BLwohfObedypJkqRZqViuVIk7nB+xPp+k0zJUfqvolz+ltgqfv5tUDBufvu2fuojxKdm2H/lb9ZHADzQbIYSXAb8XeH1K6VNDCO8B/CjwBcB3ZLtLSZIkFeMSeNx6Tb19AzwCzoGna44DPADugCcsPnisHl/dlqQpGCK/bcufUlvf/rNP/yzt2dv8Tccav6WtwW33idz5zfd709N3BfP7AO0f/vt44NcCrwNIKf0C8D3Ah+S4OUmSJM1HxeLDwx3rV6rE+tg581g5JakcFcPmt3b7Ul8VPn83qTjO+C1VJF9+ix3ta3x9VzD/a+Blre1PZPEfWf5Oa9/PA7/hwPuSJElSoR53vIbFypTI8iuUzfFmX7Pypet6V7JImqrc+a0rf0rr7Np/fP4utf+mY4zf0jwmf37riv+zA+9Vh+s7wfyTwCe3tv9D4B+nlH66te/9gZ899MYkSZI0TxXLmns39b451XyUVK6KYfNbjjam5oUQsub/yJb4z/jHwip8/m5SYXz6iOTPb13x1/j6lsj4JuDDQwg/GEL4u8CHA9+6cs5HA2/KcXOSJEkq0yXL+nnrtq+BMxY19x7Vr697XL+6LUljGjK/lZ7vcsdnW/xLkzs+c+t/Q78/KTl+Q8RnbuP3lPRdwfyXgQvg9wEB+G7gzzYHQwgfB7wa+LZcNyhJkiRJkiRJmqaQ9vj6RwjhPYFU/6hfe/97A+8L/NOU0lv3vqkQXg78OPB+9a7PTSm9btfrHz58mF588cV9/89LkkZQVRUAMcZR70PSEYSw9ZRIpq+gTvirzuY9aUZaeS8y8FfsC8t7lsg40A7P3LbIAf1zBrGLDDh+C4tfDCF7fot0xL+w2E1ZCOGNKaWHq/v7lsgAIKX086uTy/X+n00p/fAhk8u1P8VyclmSJEkzErn/ga1iWXMvjnRPkpRDZNj8lqONqckdH58v3SLGZ5OI8emj4njjV+PrWyJjcCGEjwb+S+AHgY8f+XYkSZKU2SXLX/9u6uo12w+AO5a/Nt4+fsOi3t45y19bX71+dVuSpiJ3fuvKn6Wt46vIG59d41+a3PFZ115pz97233SM8Vta32vid4zxq/FtXMEcQvjhEMKn79NwCOF9Qgh/IYTwJT2ueQnw39ebf3if/7uSJEk6TZHFh4dz1n+VsqqP3eFKIUmnJTJsfmu3X6KKfPGptrQ/RxGfv5tEjjN+S1Ux/PjV+LatYH4L8LdCCG8CXgd8R0rpJ7tODiG8K/DJwB8EPh34FeCze9zPFwIPgW9IKf1Q6FkrSJIkSdP3eM3ryOIrjs3KlHXnwmLlS3PuzZrjpa2eklSGIfLbtvxZmtzx6Yp/qXLFZ07P38cMF5918S9N+28eevxqfBtXMKeUKuAzgQB8LfATIYSfDiF8Vwjhr4QQvjaE8PUhhG8OIbwBeCvwPcBnAN8MfHBK6Xt2uZEQwvsCX8PiP0z813v/RZIkSTopkX4/klNhzUNJp2Wo/BYZ4EcCJ6xi2Pjsck5JIj5/N4kMG5++7Z+6CuNTsq0/8pdS+psppQ8FPpXF/19fCvwu4DXAlwBfxGKV8r8N/Cjw5cD7p5S+IKX0L3vcy18E3gP4Yxl+JFCSJEkTdln/iyw+PJwB12uOd21f19c0H1K2nS9JYxoiv0XW58/S5I7P3J4XueOzLf4lGfL9SexovzSO3/nYOsHcSCm9PqX0WSmlc+DVLCac/xMWq5X/HeAVKaWPTSn9mZTSsz43EUL4XXU7MaX0LX2ulSRJ0mm6Zbky5WKP6y9YroS57Whfkk7RLvntkPx56ozP7oaIz7b4l2LI9ydz7p/Gp0whpXF/YzaE8O7AjwH/FvBRKaUfax1rbu5zU0qv29LOa1isquaVr3zlx7z5zW8e5oYlSYOoqgqAGOOo9yHpCELI+rXHdW01+56N/F53E/OeNCN7/r5QpDu/debP0vLehthF9ojPNhOO3z5eCCFvfFqea6uw2O07bhuRnv1zZvGLZBy/pcVuwkIIb0wpPVzdv+1H/o7hq4FXAn+uPbncV0rptcBrAR4+fGjPkiRJmqhI3pp6FcuVMDf1vvZrSTpVFd35rRrnlialwvhsM2R8qpX2c7RZkgr75yYVxqcke00whxA+gkV5jFcD755S+h31/lcBHwe8PqX0lh3a+SgWNZx/isVEsyRJkgr3iOWvgTd185pfAz9k+6ZuG57/tXFJGlvu/Lbt+tLkjs9c4lcxTHzWxb+0lX6XDPf+ZN35pfW9XeOXo39qfL0nmEMIXw18Gcv6ze0c8hLg24ArFj/at81fYFGz+8sXTYeXd5z3rvWxd6SUfqnvPUuSJEmSJEmS8utVgzmE8FnAtwLfB3wJ8PuAL00pnbXO+UHg51NKn7JDe/8U+E097vfNKaVXbTvp4cOH6cUXX+zRrCRpbNYileYjhpD9K5CRjq9YTrgmn3lPmpEDarlGen6FvLS816OOK2T4iv2E47eP9jMX8pcgiJzGM3cvB9Zghp79c4bxi2Qav6XFbsK6ajC/ZN3JG/wR4CeAT08p/QjwK2vO+XHgg/rfoiRJkuagYllzL2ZoL3L/A0m7fUk6ZZHu/BZHuqcpiRifbYaMT8SauZtE7J+bRIxPSfpOMH848H0ppXUTy42fAc53aSyl9KqUUuj61zr1c+t9r+p5v5IkSZqgaxZ10poPEZcs6+nRYzvWbZzVba62L0lTMER+68qfpckdn23bpckdn23xL0lkuPcnjl/Hb2n6TjAH4B1bzjkH/tV+tyNJkqS5uGC5UuV2j+tvWa58uehoX5JO0S757ZD8eeqMz+6GiM+2+JdiyPcnc+6fxqdMfWsw/xDw9pTSx9bbXwH8yaYGcwjhDPgx4FlK6RMOvrkQmpv73JTS63a9zhrMknR6rEUqzchKTb5I/6/Y7nzNhGvymfek+Ygh5M9vXeeWlvcOeGb0OfedJhy/vWyogxvJ/PwtLHb7/GZE5ID+WVj81vW9yEDjt7TYTViuGszfAXx0COGLO47/CeADWfwQoCRJkrRVRb+aexFrPko6LUPlt4p51SyNDBufXc4pSYXP300qho1P3/ZPXcT4lOylPc+/ZvH/2z8XQvhMIAGEEL4O+ETgIYsV7K/NcXMrdZglSZJUgEvgces19fYN8IhFvbWna44DPADugCcsPnisHl/dlqQpGCK/bcufpckdn674l7oOMld8NsW/tGdv8zcda/yW1vfafWLo8avx9VrBnFL6ZRb/f/3rwEcDH8eiLvMfBT4G+Bbg30spvT3zfUqSJKlwFYsPD3esX6kS62PnzGPllKRyVAyb39rtlyiSLz5xS/tzVOHzd5OK44zfUkWGH78aX68azPcuDOE3AB8LvAJ4K/CGlNKzjPe2N2swS9LpsRapNCMb6kHC+q9Qrtu3kwnX5DPvSTNS571Ixvy2RgSqwvLePnVwO9tih/hPOH572fLMbYsc2D8Lj11k2PFbYvwiefNbV/yflRa7Ceuqwdy3RMY7pZR+Dvi+g+5KkiRJWlGxrLl3U++bU81HSeWqGDa/5WhjanLHx+dLtwrjs0mF8ekjcrzxq/H1/ZE/SZIk6WCXLOvnrdu+Bs5Y1GZ7VL++7nH96rYkjWnI/FZ6vssdn23xL03u+Myt/w39/qTk+A0Rn7mN31PSewVzCOHdgP8M+Cjg/YB3WXNaSin99gPvTZIkSZIkSZI0Yb1qMIcQPgL4X4EXWPy4X5eUUjo78N72Zg1mSTo91iKVZmSHepCRTF9BnXBNPvOeNCOtvBcZ+Cv2heW9F0LIGp/IlvhPOH576VGDGQ7snzOIXWTA8VtY/HLWT39nm3TEv7DYTVlXDea+JTKuWUwufwXwKuBdUkovWfNvtMllSZIknbbI/Q9sFcuae3Gke5KkHCLD5rccbUxN7vj4fOkWMT6bRIxPHxXHG78aX98SGRfAd6aU/tQQNyNJkqTyXQKPW69pbT8A7oAnLD44tI/fsKi3dw487bh+dVuSpiJ3fuvKn6Wt46vIG59d41+a3PFZ115pz97233SM8Vta32vid4zxq/H1XcH8NuDNQ9yIJEmS5i2y+PBwzvqvUlb1sTtcKSTptESGzW/t9ktUkS8+1Zb25yji83eTyHHGb6kqhh+/Gl/fGszfDvzGlNInDXdLh7MGsySdHmuRSjOypaZhteXyPudOuZ6heU+aj13rCEf613R97prS8l5H/epqx8v7XBMpsJbrlhrMkYzP3wJjFxno/cm6awqMX1tkwPFbWuwmLFcN5i8DXh1C+NIQelaKlyRJktaI9PvAUWHNQ0mnZaj8FhngRwInrGLY+OxyTkkiPn83iQwbn77tn7oK41OyXhPMKaV/AnwC8MeBnwghfGcI4RvX/Ptrg9ytJEmSinBZ/4ssPjycsfg16dXjXdvX9TXNh5Rt50vSmIbIb5H1+bM0ueMzt+dF7vhsi39Jhnx/EjvaL43jdz56TTCHEN4P+C7gvYDfDHwG8Dkd/yRJkqROtyxXplzscf0Fy5Uwtx3tS9Ip2iW/HZI/T53x2d0Q8dkW/1IM+f5kzv3T+JSpbw3mvwn8HuAbgW8CfgZ4+7pzU0qj/RigNZgl6fRYi1SakZ41DbdZ11az79mEa/KZ96QZ2bPCZKQ7v51iHdxDazCviuwRn20mHL99rNb/jgz4/C0sdvuO20akZ/+cWfwiGcdvabGbsK4azC/t2c4nA9+XUvr8PLclSZKkuYnkralXsVwJc1Pva7+WpFNV0Z3fqnFuaVIqjM82Q8anWmk/R5slqbB/blJhfErSd4L5JcCPDnEjkiRJmodHwBMWHx6aunmP6/89ZPumbptW+5I0Fbnz27brS5M7PnOJX8Uw8VkX/9LWkF4y3PuTdeeX1vd2jV+O/qnx9arBzKIUyocNcSOSJEmSJEmSpNPStwbzxwB/F/i8lNK3D3ZXB7IGsySdHmuRSvMRQ8j+FchIx1csJ1yTz7wnzcgBtVwjPb9CXlre61HHFTJ8xX7C8dtH+5kL+UsQRE7jmbuXA2swQ8/+OcP4RTKN39JiN2G5ajB/GvD9wN8IIXwB8EbgrWvOSymlr+l/m5IkSSpdRd6ajXFNW037zw5sW5LGFOnOb9YpNT67GDI+MWNbJYrYPzeJGJ+S9J1g/srW60+q/62TACeYJUmStNY1cMbyQ8R1vb9vbcOruo2zuo1qpX1JmoJ9arluy29d+bM0ueMzt1quueOzLf4liQz3/sTx6/gtTd8J5kfbT5EkSZK2u+D+B4yLntff8vwHkNX2JekU7ZLfDsmfp8747G7d3z7087cUQ74/mXP/ND5l6lWD+VRYg1mSTo+1SKUZWanJF+n/dcidr5nwe13znjQfMYT8+a3r3NLy3gHPjD7nvtOE47eXDXVwI5mfv4XFbp/fjIgc0D8Li9+6vhcZaPyWFrsJ66rB/JIxbkaSJElqVCxr7sUdzo9Yn0/SaRkqv1X0y5+nLjJsfHY5pyQVPn83qRg2Pn3bP3UR41OyviUyJEmSpIN01SK9YVGP7Rx4uuY4wAPgDnjC4oOHtfgknYIh8tu2/Fma3PHpin+p6yBzxWdT/Et79jZ/07HGb2l9r90nhh6/Gt/GFcwhhHeEEN4eQvjg1vav7vDv7ce5fUmSJJWiYvHh4Y71K1VifeyceaycklSOimHzW7v9EkXyxSduaX+OKnz+blJxnPFbqsjw41fj21iDOYQQWfxHlD+QUvrnre2tUkqj/SCgNZgl6fRYi1SakQ31IGH9VyjX7dvJhGvymfekGanzXiRjflsjAlVheW+fOridbbFD/Cccv71seea2RQ7sn4XHLjLs+C0xfpG8+a0r/s9Ki92EddVg3lgiI6VUbdqWJEmScqtY1ty7qffNqeajpHJVDJvfcrQxNbnj4/OlW4Xx2aTC+PQROd741fi2/shfCOEPhhA+4hg3I0mSpHm4ZFk/b932NXDGoubeo/r1dY/rV7claUxD5rfS813u+GyLf2lyx2du/W/o9yclx2+I+Mxt/J6SrRPMwOsot79LkiRJkiRJkva0sQYzLH7YD/jKlNJXH+eWDmcNZkk6PdYilWZkh3qQkUxfQZ1wTT7znjQjrbwXGfgr9oXlvRdCyBqfyJb4Tzh+e+lRgxkO7J8ziF1kwPFbWPxy1k9/Z5t0xL+w2E1ZVw3mXVYwS5IkSUcTuf+BrWJZcy+OdE+SlENk2PyWo42pyR0fny/dIsZnk4jx6aPieONX49v4I3+SJElSbpfA49ZrWtsPgDvgCYsPDu3jNyzq7Z0DTzuuX92WpKnInd+68mdp6/gq8sZn1/iXJnd81rVX2rO3/TcdY/yW1vea+B1j/Gp8u65g/vUhhFf2+TfoXUuSJKk4kcWHh3PWf5Wyqo/d4UohSaclMmx+a7dfoop88am2tD9HEZ+/m0SOM35LVTH8+NX4dq3B3Pc/gqaU0miro63BLEmnx1qk0oxsqWlYbbm8z7lTrmdo3pPmY9c6wpH+NV2fu6a0vNdRv7ra8fI+10QKrOW6pQZzJOPzt8DYRQZ6f7LumgLj1xYZcPyWFrsJO7QG888D/6zHv5/KcM+SJEmagUi/DxwV1jyUdFqGym+RAX4kcMIqho3PLueUJOLzd5PIsPHp2/6pqzA+Jdt1gvnrU0q/uc+/Qe9akiRJJ+2y/hdZfHg4A67XHO/avq6vaT6kbDtfksY0RH6LrM+fpckdn7k9L3LHZ1v8SzLk+5PY0X5pHL/zsesEsyRJkpTVLcuVKRd7XH/BciXMbUf7knSKdslvh+TPU2d8djdEfLbFvxRDvj+Zc/80PmXatQbzV6aUvvo4t3Q4azBL0umxFqk0Iz1rGm6zrq1m37MJ1+Qz70kzsqUObpdId347xTq4h9ZgXhXZIz7bTDh++1it/x0Z8PlbWOz2HbeNSM/+ObP4RTKO39JiN2FdNZhH+yE+SZIkzVMkb029iuVKmJt6X/u1JJ2qiu78Vo1zS5NSYXy2GTI+1Ur7OdosSYX9c5MK41MSJ5glSZJ0VI+AJyw+PDR18x7X/3vI9k3dNq32JWkqcue3bdeXJnd85hK/imHisy7+pa0hvWS49yfrzi+t7+0avxz9U+PbOsGcUrJOsyRJkiRJkiTpOVtrMJ8iazBL0umxFqk0HzGE7F+BjHR8xXLC73XNe9KMHFDLNdLzK+Sl5b0edVwhw1fsJxy/fbSfuZC/BEHkNJ65ezmwBjP07J8zjF8k0/gtLXYT1lWD2dXJkiRJOqqKZc29mKG9yP0PJO32JemURbrzWxzpnqYkYny2GTI+EWvmbhKxf24SMT4lcYJZkiRJR3cNnLH8EHHJsp4ePbZj3cZZ3eZq+5I0BUPkt678WZrc8dm2XZrc8dkW/5JEhnt/4vh1/JbGCWZJkiSN4oLlSpXbPa6/Zbny5aKjfUk6Rbvkt0Py56kzPrsbIj7b4l+KId+fzLl/Gp8yWYNZkjQJ1iKVZmSlJl+k/1dsd75mwu91zXvSfMQQ8ue3rnNLy3sHPDP6nPtOE47fXjbUwY1kfv4WFrt9fjMickD/LCx+6/peZKDxW1rsJswazJIkSZqkin419yLWfJR0WobKbxXzqlkaGTY+u5xTkgqfv5tUDBufvu2fuojxKdlLx74BSZIkzcsl8Lj1mnr7BngEnANP1xwHeADcAU9YfPBYPb66LUlTMER+25Y/S5M7Pl3xL3UdZK74bIp/ac/e5m861vgtre+1+8TQ41fjcwWzJEmSJqFi8eHhjvUrVWJ97Jx5rJySVI6KYfNbu/0SRfLFJ25pf44qfP5uUnGc8VuqyPDjV+OzBrMkaRKsRSrNyIZ6kLD+K5Tr9u1kwu91zXvSjNR5L5Ixv60RgaqwvLdPHdzOttgh/hOO3162PHPbIgf2z8JjFxl2/JYYv0je/NYV/2elxW7CumowWyJDkiRJk1KxrLl3U++bU81HSeWqGDa/5WhjanLHx+dLtwrjs0mF8ekjcrzxq/FZIkOSRnQZApchLP7reP267/aDEAj1vwdbzpekqbhkWT9v3fY1cMai5t6j+vV1j+tXtyVpTEPmt9LzXe74bIt/aXLHZ279b+j3JzfrEsUAACAASURBVCXHb4j4zG38nhInmCVJkiRJkiRJe7EGsySN6cBVxZGeX9GacM63Fqk0Izvkvkimr6Ca9yRNQSvvRQb+in1hee+FELLGJ7Il/hOO3156ft6IHNA/ZxC7yIDjt7D45ayf/s426Yh/YbGbsq4azK5glqQTFbn/hqZiWZMqjnRPkpRDxPwmqUyRYfNbjjamJnd8fL50ixifTSLGp4+K441fjc8f+ZOkCWjqSj3ecfsBcAc8YfFgbR+/YVGP6hx42nG9JI3pkuHym/lO0lTlzm9d+bO0dXwVeeOza/xLM/Tni/azvRTtv+kY47e0vtfE7xjjV+NzBbMkjSjuec0diwd0teZ4VR+727N9SRpLxPwmqUyRYfNbu/0SVeSLT7Wl/TmK+PzdJHKc8VuqiuHHr8ZnDWZJGlHfmnKR3et8rT13wjnfWqTSjGypaVhtubzPueY9SVOw63u+SP+ars9dU1re66hfXe14eZ9rIgXWct1SgzmS8flbYOwiA70/WXdNgfFriww4fkuL3YRZg1mSJqhPTapIvwdy1bN9SRpLxPwmqWxD5bfIAD8SOGEVw79/npOIz99NIsPGp2/7p67C+JTMCWZJGtE1cMbyIXvJsp4Ure1Yn3NWX7N6vGt7tX1Jmorc+W3b+ZI0piHyW2R9/ixN7vjM7Xkx9OeLkuM35PuT2NF+aRy/8+EEsySN7ILlf8m9XXP8luV/ub04sH1JmpKc+a0rf0rSKRr6/eGpMz67G/rzRcnP2iHfn8y5fxqfMlmDWZLGtKWm3Lp9+4pMu66XtUilGelZ03CbdW01+56Z9yRNwZY6uF0ie7w/LC3vbYhdZID3zxOO3z5W639HBnz+Fha7fcdtI9Kzf84sfpGM47e02E1YVw3ml45xM5Kk51Us/0vuTb0vZ82pHG1IUg6R/PmtK39K0imrGPb94amrMD7bDP35ot1+jjZLUmH/3KTC+JTECWZJmoCmbtRjFg/UR/X2ExYP1/bx1fP32ZakMT1imPy2Ln9K0lTkzm9ze7+XOz5ziV/F8J8vmvZLW0N6yXDvT9adX1rf2zV+OfqnxmcNZkmSJEmSJEnSXqzBLEljWqlLFRn4K0ITzvnWIpXmI4aQPb9FOvKneU/SFBxQyzXS8/1haXmvRx1XyPD+ecLx20f7mQv5P19ETuOZu5cDazBDz/45w/hFMo3f0mI3YV01mF3BLEkTEbn/QK1Y1qSKmdqXpCmoyJ/fuvKnJJ2yyLDvD09dxPhsM/TnC2vmdovYPzeJGJ+SOMEsSSO6rP9FFg/SM+C6dfy63tc8ZJvzV6/ftt20L0lTkTu/deVPSZqCIfJbV/4sTe74bNsuzdCfL1bbL0lkuPcnjl/Hb2mcYJakkd2y/C+3F2uOX7D8L7m3B7YvSVOSM7915U9JOkVDvz88dcZnd0N/vij5WTvk+5M590/jUyZrMEvSiPrUIY30/wrac9dMOOdbi1SakQ3156sdm9j5GvOepAmIIeTPb13nlpb3Dnhm9Dn3nSYcv71sqIMbyfz8LSx2+/xmROSA/llY/Nb1vchA47e02E2YNZglaYL6vGGp6FeTKvZsX5LGUmF+k1S2ofJbxbxqlkaGf/88JxU+fzepGDY+fds/dRHjU7KXjn0DkjRnzcO1qRv1uP7fTds3wCPgHHjacf4D4A540tG+JI3pkuHym/lO0hQNkd+25c/S5I5PV/xLXQc59OeL9rO9FM3fdKzxW1rfa/eJocevxucKZkkaUbXnNecsHtBxzfFYHzvfs31JGkuF+U1SmSqGzW/t9ksUyRefuKX9Oarw+btJxXHGb6kiw49fjc8azJI0pg010baJPP8Vo3X77plwzrcWqTQjW3JfZI/81sW8J2kK6rwXyZjf1ohAVVje26cObmdb7BD/CcdvLz0+b0QO7J+Fxy4y7PgtMX6RvPmtK/7PSovdhHXVYLZEhiSdqIplTaqbet+caqJJKleF+U1SmSqGzW852pia3PHx+dKtwvhsUmF8+ogcb/xqfJMokRFCeBhC+JoQwv8SQviJEMJbQwj/OoTw0yGE7wohXG5vRZJOzyXL+lH7bF8DZyxqUj2qX19vOF+SpiJ3ftu2LUljGjK/lZ7vcsdnW/xLM/Tni9L739DvT0qO3xDxmdv4PSVTWcH8+cAfam2/DXgH8BuB3w387hDCdwL/cUrp34xwf5IkSZIkSZKkFZOowRxC+E+B9wL+DvCPUkpvq/e/P/CFwB+vT/2TKaWv2daeNZglnYwDajDD/a8dwQ5fQZpAzu9iLVJpRnbIfZFMX0E170maglbeiwz8FfvC8t4LIWSNT2RL/Cccv730/LwROaB/ziB2kQHHb2Hxy1k//Z1t0hH/wmI3ZV01mCdRIiOl9E0ppeuU0v/VTC7X+38qpfRfAd9S7/qcUW5QkiYocv8NTcWyJlUc6Z4kKYeI+U1SmSLD5rccbUxN7vj4fOkWMT6bRIxPHxXHG78a31RKZGzz94HPZlEyQ5KK09SVerzj9gPgDnjC4sHaPn7Doh7VOfC043pJGtMlw+U3852kqcqd37ryZ2nr+CryxmfX+Jdm6M8X7Wd7Kdp/0zHGb2l9r4nfMcavxjeJFcw7+G31//7kqHchSZnFPa+5Y/GArtYcr+pjd3u2L0ljiZjfJJUpMmx+a7dfoop88am2tD9HEZ+/m0SOM35LVTH8+NX4JlGDeZ0QwsuBD2Dx43//eb37v0gp/aVt11qDWdKp6FtTLrJ7na+1504054O1SKVZ2VLTsNpyeZ9zzXuSpmDX93yR/jVdn7umtLzXUb+62vHyPtdECqzluqUGcyTj87fA2EUGen+y7poC49cWGXD8lha7CZt0DeZGCOH9QggphJCAXwB+mMXk8r9i8QN/nZPLIYTXhBBeDCG8+OzZsyPdsSQdpk9Nqki/B3LVs31JGkvE/CapbEPlt8gAPxI4YRXDv3+ek4jP300iw8anb/unrsL4lGxSE8zAr7JY+X4H/Eq97+3A1wLfsOnClNJrU0oPU0oPX3jhhWHvUpIyuQbOWD5kL1nWk6K1HetzzuprVo93ba+2L0lTkTu/bTtfksY0RH6LrM+fpckdn7k9L4b+fFFy/IZ8fxI72i+N43c+JjXBnFL6FymlBymlB8DLgA8Bvhn4KuAfhP+fvfcNteRa0/ueOq1YaswkYaTWaaM7mhnyIf+FlbmCDjZkHWxEFAfdZoZLIPjDvVGYoImgTRjy1RKBEIMCRzjJBweJS1DypU3SKHiaDIR+OxByQNeO3TcJhgSSO74KOjqjTDwKUStxeufD3nV2nX2qVq1atd5Vq971/EDcrtpV6+7z8D5vrVV717Ob5p9e9A0SQogCd7D/JPes5/Uz7D+5vTNzfEIIKYmU/W2ofxJCyBrRnh+uHeoTjvb6wvK1VnN+UnN9Uh+bFJvB3KVpmn8fwL8F4G8D+I3NZvPMdzwzmAkhq2EkU65vXyyCsnO9mEVKSEVMzDQco2+sdt8F+x4hpARGcnCHEETMD631PY92AoX5c8H6xXCY/y1QvP4a0y7Wty2CifVZmX6ChP61pl3BDGUwP7fEm4ngr2J7g/lPA3gdwN9c9u0QQkh6HPaf5N7f7UuZOZViDEIISYEgfX8b6p+EELJmHHTnh2vHgfqMob2+6I6fYkxLOLA+fThQH0us5QbzF51//2PgDWZCiDHa3KgH2F5QT3bbj7C9uHZfPzw+ZpsQQpbkBDr9ra9/EkJIKaTub7XN91LrU4t+Dvrri3Z8a98hvQu9+Unf8dZqL1S/FPVJlqeoDGYPv9759/+12LsghBBCCCGEkAqRpkGz+0+aBmga3N39hwTb18YnhBBCyGpYPIO5aZobAJ5tPG+kaZr/GMC/DuAfAHh5s9n8kW9MZjATQlbDwQJKoPyIUMHZVMwiJaQepGmS9zfBQP9k3yMkCW2OK5B+fiK47t+S89OjmHHTXDBxfliwdqkzmAGF+XPB+sXQveYCuv4t+ZobRYIPuwQT6rNC/QSJ/GtNu4IZymAu4RvMvwLgp03T/GtN03yv3dk0zVHTNH+6aZr/FNubywDwV8duLhNCyFoRXL2gOuwzqSTR+IQQUgIO6fvbUP8khKRBc37S51+yRaA7P1w7Auozhvb6gpm5wwhYnz4E1McSJdxgBoB/DsDHAP5e0zTfNk1zAeD/BvDfA/hXd8f8BMC/vczbI4QQHe7u/hNsL6Q3AJx2Xj/d7Wsvsu3xh+ePbbfjE0JIKaTub0P9kxCSBs35SZ9/raHR34b0t0Zqfca2raG9vjgc3xICvfkJ/Uv/WqOEG8z/O4B/BcBfA/C3Afx9AP8ogP8XwP+E7Y3nP7vZbH682Wz+wWLvkhBClDjD/pPbOz2v38H+k9yzmeMTQkhJpOxvQ/2TEKKDtn9rR3t+uHaoTzja6wvL/tWcn9Rcn9THJotnMGvADGZCyFqYkkMqmP4I2rVzCu75zCIlpCI8+fMucIjgc9j3CEnDQJamQMm/BXs3Bmma9P1t6NiCtUuRwSyYqc8YBesXhScHV5DYv8a0i/nNCMGM+jSmX1/tCZT8a027gik5g5kQQqplyoTFYVomlUwcnxBClsKB/Y2QteJA/4agpY9DXZmlAv35c0040L8+HHT1mTr+2hFQH8s8t/QbIISQmmkvrm1u1IPd//q27wM4AXAM4MuB428DOAfwaGB8QghZkrvQ62/sd4TooT0/sexfDX3G9LdGan2G9Lf6Pcgc/rXm3fZvyuVfa7XXrQlt/5Ll4TeYCSFkQVzkOcfYXqCl53XZvXYcOT4hhCyFA/sbIWvFgf714aCrT3d8iwjS6SMj49eIA/3rwyGPf60i0PcvWR5mMBNCyJJ4MtHGEFx/xKhv3xUK7vnMIiWkIkZ6nyCivw3BvkdIGgLnLIJE/i3Yu1Hs9BMk7G89CABXsHYxfS8mB3dwLAToX7B+UUxYbwhm1qdx7QS6/rWonyBtfxvS/8KadgUzlMHMiAxCCFkpDvtMqvu7fTVlohFC7OLA/kbIWnGgf3046OqTYozSSK0P63MYB+rjw4H6TEGQz79keRiRQQghC3IX+/yomO1TADewzaQ62f371HM8IYSUQur+NrZNCJmH5vykb9samv3Ner9Lrc+Y/tbQXl9Yrz/t+Yll/TT0qc2/a4I3mAkhhBBCCCGEEEIIIYREwQxmQghZkhkZzMDVx46AgEeQCu75zCIlpCICep8g0SOo7HuEpCEyxxWI9G/B3o2io59A+RH7grWL6Xu3miapPoIR/QvWL4qJ6w3BjPqsQDuBon+N6ZcyP/1yTAzob0y7khnKYOY3mAkhZKUIrk5oHPaZVLLQeyKEkBQI2N8IWSsC+teHQFefFGOURmp9WJ/DCKiPDwH1mYJDPv+S5eGP/BFCSAG0uVIPArdvAzgH8AjbC2v39fvY5lEdA/hy4HxCCFmSu9Drb+x3hOihPT+x7t/U+gzpb+17fA5p9QnV3xo5/GvNu92/KYd/rdVeq18O/5Ll4TeYCSFkQSTynHNsL9Cu53W3e+08cnxCCFkKAfsbIWtFQP/6EOjq0x3fIg7p9HEj49eIgP71IcjjX6s46PuXLA8zmAkhZEGmZsoJwnO+eo8tuOczi5SQihjJNHQjp085ln2PkER4clwFCv4t2LsxhM75BNMzXa+dU7B2UX1vIL/aBZ4+5RyBwSzXkQxmQUL/GtROoDQ/6TvHoH5dBIr+taZdwTCDmRBCCmRKJpVg2gXZTRyfEEKWQsD+RshaEdC/IWjpI1D4kcCCcdCfP9eEgP71IdDVZ+r4a8eB+liGN5gJIWRBTgHcwP4iexf7PCl0tmV3zI3dOYevD20fjk8IIaWQur+NHU8ImYfm/KTveGto9DdBv/7WSK1PbdcL7fWFZf005ycyML416N964A1mQghZmDvYf5J71vP6Gfaf3N6ZOT4hhJREyv421D8JITpo+7d2tOeHa4f6hKO9vrDsX835Sc31SX1swgxmQghZkpFMub59sQjKzvViFikhFTEx03CMvrHafRfse4QkQZpGbX7S59+S5yxRjOTgDiGImB8WrN3cDOZDBArz54L1i+Ew/1ug6F9j2sX6tkUwsT4r00+Q0L/WtCuYoQzm55Z4M4QQQq7jsP8k9/5uX8rMqRRjEEJICgTp+9tQ/ySEpEFzftLn34sEY1vAQXd+uHYcqM8Y2uuL7vgpxrSEA+vThwP1sQRvMBNCSAG0uVEPsL2gnuy2H2F7ce2+fnh8zDYhhCzJCXT6W1//JISkQXt+cji+RVL3t9rme6n1qUU/h3z+tfYd0rvQm5/0HW+t9kL1S1GfZHmYwUwIIYQQQgghhBBCCCEkCmYwE0LIkhzkUgmUHxEquOczi5SQepCmSd7fBAP9k32PkCS0Oa5A+vmJoCcio2DvRjEjy1UwcX5YsHapM5gBhflzwfrF0L3mArr+LfmaG8XMDGZgYn1WqJ8gkX+taVcwQxnM/AYzIYQUguDqBdVhn0klicYnhJAScEjf34b6JyEkDZrzkz7/ki0C3fnh2hFQnzG01xfMzB1GwPr0IaA+luANZkIIWZC7u/8E2wvpDQCnnddPd/vai2x7/OH5Y9vt+IQQUgqp+9tQ/ySEpEFzftLnX2to9Lch/a2RWp+xbWtory8Ox7eEQG9+Qv/Sv9bgDWZCCFmYM+w/ub3T8/od7D/JPZs5PiGElETK/jbUPwkhOmj7t3a054drh/qEo72+sOxfzflJzfVJfWzCDGZCCFmQKTmkgumPoF07p+CezyxSQirCkz/vAocIPod9j5A0DGRpCpT8W7B3Y5CmSd/fho4tWLsUGcyCmfqMUbB+UXhycAWJ/WtMu5jfjBDMqE9j+vXVnkDJv9a0KxhmMBNCSIFMmbA4TMukkonjE0LIUjiwvxGyVhzo3xC09HGoK7NUoD9/rgkH+teHg64+U8dfOwLqY5nnln4DhBBSM+3Ftc2NerD7X9/2fQAnAI4BfDlw/G0A5wAeDYxPCCFLchd6/Y39jhA9tOcnlv2roc+Y/tZIrc+Q/la/B5nDv9a82/5Nufxrrfa6NaHtX7I8/AYzIYQsiIs85xjbC7T0vC67144jxyeEkKVwYH8jZK040L8+HHT16Y5vEUE6fWRk/BpxoH99OOTxr1UE+v4ly8MMZkIIWRJPJtoYguuPGPXtu0LBPZ9ZpGRVzPAuEOHfgr0bxYh+goj+NkTB2rHvkVUR2PcEifxbsHej2OknSNjfehAArmDtYvpeTA7u4FgI0L9g/aKYMGcRzKxP49oJdP1rUT9B2v42pP+FNe0KZiiDmREZhBCyUhz2mVT3d/tqykQjZM040L8+HKgPIWvFgf714aCrT4oxSiO1PqzPYRyojw8H6jMFQT7/kuVhRAYhhCzIXezzo2K2TwHcwDaT6mT371PP8YSQdNC/80itz9g2IWQemv2tb9samv3Ner9Lrc+Y/tbQnp9Yrz/t+Yll/TT0qc2/a4I3mAkhhBBCCCF10DRA0+Du7r8527ebBs3uv9s9rxNCCCGE1AIzmAkhZEkS5rgCAY8gFdzzmUVKVkWCm0eCCf4t2LtRBOgnSPQIasHase8tQKIbv4KA+iy49qKIzHEFIv1rWD+B8iP2BWsX0/duNU1SfQQj+hesXxQT+55gRn1WoJ1A0b/G9EuZn345Jgb0N6ZdyQxlMPMbzIQQslIEVyc0DvtMKlnoPRFCwhDQvz4E1IfoIInGYH0OI6A+PgS6+qQYozRS68P6HEZAfXwIqM8UHPL5lywPf+SPEEIKoM2VehC4fRvAOYBH2F5Yu6/fxzaP6hjAlwPnE0LmcRvD/tLwrzXvdv+m1P2N/Y74mFo/c+vTGtrzE+v+Ta3PkP7WvsfnkFYf+rd/O0V9WvNu92/K4V9rtdfql8O/ZHn4DWZCCFkQiTznHNsLtOt53e1eO48cnxAyTqy/BPSvDwH1IbrMqR8B69OHgPr4EOjq0x3fIg75/FsjAvrXhyCPf63ioO9fsjzMYCaEkAWZmiknCM/56j224J7PLFKyJmIy5QQz/Fuwd6MYyTR0I6dPObZk7dj3FqBpptXPjinntMdeFFx7UXhyXAUK/jWmX+icT5CgPgvWLqrvDeRXu8DTp5wjMJjlOpLBLEjoX4PaCZTmJ33nGNSvi0DRv9a0K5ihDGZGZBBCyIK0mVEaExY3cXxCSDgO9G9KBNSH5MMhj39rQUD/hqClj0w41gIO+v6tCQH960Ogq8/U8deOg54+HzQfzHpvU/nLm7+c9f9vDTAigxBCFuQUwA3sf/jgLvZ5Uuhsy+6YG7tzDl8f2j4cnxCSjpz+tUjq/jZ2PCFdcvjXGprzk77jraHR3wT9+lsjtT61XS+01xeW9dOcn8jA+Nagf+uBN5gJIbO52zTbx1+aBnd3/x1uS9PgVtPgds/rt3evief87rY17mD/Se5Zz+tn2H9ye2fm+ISQtOTyr1VS9rch/QkZQtu/1tH2b+2wPv1Qn3C01xeW/as5P6m5PqmPTZjBTAiZT+BNX8H1R1z69o1iqW+NZMr17YtFUHauF7NIyaoIyJTr2xdNwd6NIjIHd4i+sdp9Jefgsu8tQGD+d9++yRRcezFI06jNT/r0L3nOEkXklyQEEfVZsHZzM5gPESj4t2D9YjjM/xYo+teYdrG+bRFMrM/K9BOk8+8HeH/ae5tJzREZzGAmhCyOw9XMJSDhzRcDOOjqk2IMQkg/DuxvUxCk729D+hMyhgP9G4Lm/KRP/4sEY1vAgfXpw4H6jKG9vqgpk3kqDqxPHw7UxxK8wUwISUKbe/QgYPs+gJPd9iNsLx5TzrdIan1q04+Q3NyFXn/r27bm3RPo9Lc+/Qnpoj0/sXy91Z6fHI5vkdT9rab6A+jfWBzy+dfY928H53tTt0P1t1Z7ofrx/oANmMFMCCGEEEIIIYQQQgghJApmMBNC5jMhm0qQ4BEYS33Lk+MKKDwiVLB2zCIlq2IkxxVI7N+CvRuDNE3y/iYY0L9g7dj3FmBgziJQ8G/BtRdDm+MKpJ+fCHoiMozpNyfLVTCxPgvWLnUGM6Dg34L1i6F7zQV0/VvyNTeKBD8wL5hQnxXqJ0jjX2Yw52Mog5nfYCaEZENw9YLhsM9ckoXeU0kIdPVJMQYhpB8B+9sUHNL3tyH9CRlDQP+GoDk/6dOfbBGwPn0IqM8Y2usLZuYOI2B9+hBQH0vwBjMhZDZ3D/7dty3YXihuADjtvH6629deRIbO7/v/soCGPj79CSHpyOlfi6Tub0P6E9JHDv9aQ3N+0qe/NTT625D+1sixvrCsn/b64nB8Swj05if0L/1rDd5gJoSoc4b9J5N3el6/g/0nlWcZ31cpaOvTHZ8QkpZc/rVKyv42pD8hQ3B+Mg9t/9YO69MP9QlHe31h2b+a85Oa65P62IQZzISQ+XiylQThj00FH2uob03JIRVMfwTt2jkFa8csUrIqmkanvw2dU7B3o/Dkz7vAIYLPKVg79r0F2NWeQN+/1n3bIlDyrzH9pGnS97ehYwvWLkUGs0DXvyXrF0WitVrQOca0i/nNCMGM+jSm39hvlriR06ccywzmfDCDmRCSHcG0CYtDfZlLmvrIxPEJIeEI6N+UOFAfkg9BHv/WggP9G4KWPg51zZ8F+v6tCQf614eDrj5Tx187AupjmeeWfgOEEBu0uUcPdv97G8A5gEfYXhgOX/dt3wdwAuAYwJcDx1uhvbim1mdMf0IAXH6rIKV/Bf31+cDYNzJOoNff+vS35t3u35S6v1nvd03TJNVnzL/Wvk2lPT/pjm8R7fmJZf9q6DOmvzVy+ddW19uTw7/WvNv+Tbn8a632ujXB+wP24TeYCSHJEWwvHseI+2Tb7c49h/1PKl3kOT59BPP0J/UgA/vo33G09BHU7V8H6jOGpj5uZHwLaOojM8dfOw7Ux4dDPv9aRJDPvzXiQP/6cMjjX6sI9P1LlocZzISQ2XQz5QTpHpvqG0tgLNPQk4k2hqBfH6/+BWvHLNL83GqaafUzgWtjFVx7UczwLhDh38r0E0T0tyEK1i42i1SQUJ8eroxVsH4xTMnBHRwDgfob0y607wkS1adR/QT6/i3ZtzF9LyYHd3AsBOhfsH5RTJizCGbWp3HtBLr+taifQP/+wA8BvMcM5mwMZTAzIoMQMpu2yXf/7RKM67DPXOqOf5FgbAs49OtTSyYamY9m/biD8VOMaQkH+teHA/Xx4ZDPv9auuS7RGKzPYRyojw8Hff9aI8f6gvW5xYH6+HCgPlMQ5PPv4wTjk3kwIoMQAHebZvvpZNPg7u6/7vbtpkGz++92z+tTt61xA9tMpJPdv087r93FPh8pZvu0Z3xLaOjj05+QLlPrZ059WoT+nUdqfca2rZHLv1bJ4V9raPa3vm1raPY36/0ux/qiO741tOcn1utPe35iWb9c9wcs+3dN8AYzIYQQQgghhBBCCCGEkCiYwUwI4M2lEig8AmPMd22OK5D+ESHBdf0vLOmXMMcVCNC/YO2YwZyfbqYhoOvfkvMgo0jwNIpggn8r1E+Q6PpbsHaxGcyA0vykQzu+qWsukMS7QKD+FWsnSFCfhvUTKD9iX7B2MX3v8Dcj5iIY0b9g/aKY2PcEM+qzAu0Eiv41pl/K/PTLMTEUkfF+ov+HMJjBfD2Dmd9gJsSD4OoFw2Gf+SMLvacS0dJH0K8/2SJgfaITP3P4nzQNbu3+17dv0n/G0KwfgcKC2RAC+teHgPr4EOTzrzUk0Risz2EE1MeHQN+/1sixvmB9bhFQHx8C6jMFh3z+JcvDH/kjZEeb6/Ng97+3AZwDeIRt4+q+fh/bvJ9jAF8OnD+2bQmH9Pr49LdISn1C9LcG/RtHOznL4V9r2t2GTn8b0t+aft2/Sdu/1tDub4fjW0NzftKnvzW05yf0b5r6tPUdyP1NJPp3Hjn8a8273b8ph3+t1V6rXw7/8kf+loffYCakB8G27lrggAAAIABJREFUeR2jf3Hldq+dg59U9uEwTx+BX39LSOQ5rM9hBNQnFDewj/4dR0sfh7rrU0B9xtDUR0bGt4CmPm7m+GtHQH18CPL51yIO+fxbIwL614cgj3+t4qDvX7I8zGC2RODj24Lwx5a9x1qqnYFMNDdy2pRju+fUkkUqiNNnzTnCU5maKSeYWZ8Fazcni7RFoOvfkvWLIjB/3gUO5z3HmHYxmXKCGfVpTL+xTEM3cvqUY0vWLqbvSdOozU9qyREWKM1PDo6tKb9aoOBfY/qFzvkECeqzYO3mzvcE+v6tZa3WIkjoX4PaCfTvD9TymyUCPf9+wAzmbDCDuQIk8JgphnaoK1NIoKtPO34tOMTpU1Nmq6Y+buL4a0eg79+acKB/fTjQvykRUJ9QXOAx9O8wDnn8WwsC+jcE7fUF/duPYHp91oSA/vUhyHN/gP7tR1CXPmuHN5gN0Zr0LvZ5NOhsy+6YGwBOe14f2j7dnTM0vgU09enT3xqp9RnT3xIa+vj0t4Z2fzsc3xoa/c2nvzVy+tciufxrFfp3Hjn8a42c6wuLtae9vrBYcy051hcWa65Fe31hWb9c9wfo3+vHC+jftcEbzIZoPwk663ntDPtPfu5EjH1nZPy1o63P3PHXDvXxo61Pd3yL5PRvjdC/fnL51yo5/Fsz9K8f6jMPri90YX36oT7h8P5APLw/oAP1sQkzmC0xkA/Uty+WK2MZqp2pObhDCAL1N6QdgFn53337RrGk30imXN++WARl+zY2i1Slvw3tK1i/KAK9CySoT+PaCXT9a1E/gdL85GBfyTm4KbLnQxDMqM+C9YsiMP+7b99kjGnXzf8W6Pu35DlLFBHeBSLrs2DtUvc9gYJ/C9YvhsO1rkDRv8a0i/Vti2BifVamnyCdf5nBnI+hDObnlngzRA+H/SdB7TeeUmbWdMe/SDBeKWjoo6H/2nGgPj4c9P1rDa3+xvq8jgP18eFAfaYgyOdfwvocw4H6hJBjfdEd39JaYw4OrE8fDtRnjFz3B6j5dRxYnz4cqI8leIPZEG3uzANsDXmy236ErTm7rx8eP3Xb2oLNIb0+Y/pbI7U+Y9vWyOlfS7STD/p3Hjn8a0277t+Uw7/W9DuB3vzkUH9raPe3mvudhn8tkWN90R3fIvTvPOjfOBzy+dfY928H53tTt0P1t1Z7ofrx/oANmMFMCCGEEEIIIYQQQgghJApmMFtil28j0H3EoB2/5EzDqXQz5WaPhQD9DWkHIDrHFYisT0v6eXJcAYVHhArWLiaTL1V+eotgRP+C9YtiYq6cYEZ9VqCdQNG/xvRLmZ9+OSYG9C9Yu1wZzMCM+ixYvygG9BMo+NeYdu01F9BbX1yJyDCm35wsV8HE+ixYO42+J0js34L1i6F7zQV0/VvyNTeKmRnMwMT6rFA/QRr/MoM5H0MZzPwGszEEVw3psM+0kcTjW0JDH4f0+q8dAfXxIdD3rzW0+psD6/MQAfXxIaA+U3DI51/C+hxDQH1CyLG+6I5PtghYnz4E1GeMXPcHXILxrCFgffoQUB9L8AazIQRbI94AcNrZf7rb15r0LvZ5NZiwPTS+BTT16dPfGqn1GRvPEhr6+PS3hnZ/OxzfGhr9zTeeNXL61yK5/GsV+nceOfxrjZzrC2trDUB/fWGx5lpyrC8s68f7A/EI8twfsFx/9G898AazIdpPfu70vHYH+0+CziLGPhsZf+1o6zN3/LVDffxo69Md3yI5/Vsj9K+fXP61Sg7/1gz964f6zIPrC11Yn36oTzi8PxAP7w/oQH1swgxmQ4TkCAumP8IyeI6l2unJr3aBp045pz22pkw5wXR9Ro81pN+UHFJBgvosWLu5mXwCff/WlisnSOhfg9oJFPrb0DkG9esiUPRvwdppZjALEtVnwfpFETHnm3Js9xzrvm0RKPnXmH5TfvNFMLM+C9YuRd8T6Pq3ZP2iSLRWCzrHmHYxvxkhmFGfxvQb+80SN3L6lGOZwZwPZjBXgAs8ZkqmjaCuTCUHXX3a8WtBEKeP1TiCPjT1kYnjrx0Hff/WhID+9SGgf1PiQH1CkcBj6N9hBHn8WwsO9G8I2usL+rcfh+n1WRMO9K8Phzz3B+jffhzq0mftPLf0GyDpaHNnHgRs3wdwAuAYwJcDx98GcA7gEbbGPnzdGqn1Gdu2Rkp9QvS3QntxpX/nQf/OI4d/rWl3Ar3+1qe/Nf26f5O2f62h2d/69LeG9vykO75FtOcnlv2rPT+hf9PVp7HvkF6Sw7/WvNv+Tbn8a632ujXB+wP2KeIbzE3TvNo0zV9qmua/bJrmD5qm+a5pmm+apvk7TdP8e03T/Kml36M1HLbmPEf/J0Gye+0YdXwyeYgD9ZmDYJ4+Dn79LeEiz2F9DuNAfUKRgX307zha+gjqrk8H6jOGpj5uZHwLaOojM8dfOw7Ux4dDPv9aRJDPvzXiQP/6cMjjX6sI9P1LlmfxDOamaX4FwM8BdMNZ/hjAn8T+x7//CMBvbTaboC8D1JrBHJrJ10Vw/RGFvn29WMoHmpAp17dvMpa0w9VMOUG6x6b6xhIYyzSM8G2LIKI+C9YudRapQMG/BesXw62mSd/fhsYypt0c7wIR9VmZfoKE/i1Yu9i+J1Can/SNVbB+MUzJwR0cA4H6G9NuTv53375RjOon0Pdvyb6N6XsxObiDYyFA/4L1i2LCnEUwsz6NayfQ9a9F/QT69wd+COA9ZjBnYyiDuYSIjPYm8t8A8BMA//Vms/mjpmn+BIA/B+A/BPDrAB40TfOPbzYbq0/8LILDPtOmzQauKVNpDAfqE4KWPg79+l8kGNsCDqxPHw7UZwxNfdzB+CnGtIQD69OHA/Xx4ZDPv9auuS7RGKzPYRyojw8Hff9+0HyQYKRwtG+05FhfsD63OFAfHw7UZwqCfP59nGB8Mo8SIjL+CMDrm83mX95sNn99s9n8EQBsNpv/Z7PZPATwLwF4CuAfBvBvLPg+V8Nd7PNoQrZPsb3Lf7L778ZuX+j5FtDUp2/bGqn1GdPfEhr6+PS3hnZ/s66fRn8b0t8i9O886N955PKvVXL41xo51xfW9dP2rzVyrC+641tDe35ivf605yeW9ct1f8Cyf9fE4jeYN5vN399sNn/H8/rfBXC22/yNPO+KEEIIIYQQQgghhBBCyBiLZzCH0DTNXwfwWwB+b7PZ/IWx45nBPA1B5CMeK6idYAJzXIFEj3hY0g77HFcg/SNCguv6X1jSL2GOKxCgf8Hapc5gBhT8W7B+MXQzDQFd/5acBxnFTO8CE+uzQv0EifxbsHZz+p5A9xHddnxT11wgiXeBQP0r1k6QoD4N6yfQ9e8HBWeRxvS9w9+MmItgRH/DtReCYEZ9VqCdQNG/xvRLmZ9+OSaGIjLeT/T/EAYzmK9nMC/+DeYxmqZ5DsCf2W3+D0u+F4sIrjZEh32mjSz0nkpCQH1C0NJH0K8/2SJgffoQUJ8xNPURpF8wW0LA+vQhoD4+BPn8aw1JNAbrcxgB9fEh0PevNXKsL1ifWwTUx4eA+kzBIZ9/yfKU8CN/Y/ybAG4DeAbgP1n4vRRNm0vzIHD7NoBzAI+wNWb39fvY5tkcA/hy4HxrpNZnbNsSDun18elvEfp3HvRvHO3kLId/rWl3Gzr9bUh/a/p1/yZt/1pDu78djm8NzflJn/7W0J6f0L9p6vP9tG97cRz01xf0b5r6tObd7t+Uw7/Waq/VL4d/+SN/y1P0N5ibpnkNwL+72/wPNpvN/+g59rebpvlp0zQ/vbiw9nvX6RFszXmM/sWD2712jjo/iRNQnzk4zNNH4NffEhJ5DutzGAH1CcUN7KN/x9HSx6Hu+hRQnzE09ZGR8S2gqY+bOf7aEVAfH4J8/rWIQz7/1oiA/vUhyONfqzjo+5csT7EZzE3T/CkA/y2AXwfwNwH82c1m8zTkXGYw+xGEP7bsPbbQ2oliIBPNjZw25djuObVkkQri9FlzjvBUpmbKCWbWZ8HapchgFuj6t2T9ogjMn3eBw3nPMaZdTKacYEZ9GtNvLNPQjZw+5diStYvpe9I0avOTWnKEBUrzk4Nja8qvFij415h+oXM+wfz6tJbBHLtWizlHUM9arUWQ0L8GtRPo3x+o5TdLBHr+LbnvWWNVGcxN0/wygN/H9uby/wzgL4TeXK4ZCTxmiqEd6soUEujq045fCw5x+tSU2aqpj5s4/toR6Pu3JhzoXx8O9G9KBNQnFBd4DP07jEMe/9aCgP4NQXt9Qf/2I5henzUhoH99CPLcH6B/+xHUpc/aKe4Gc9M0/wiA/wrAPwPgDwD8+c1mY/lpgWS0Jr2LfR4NOtuyO+YGgNOe14e2T3fnDI1vAU19+vS3Rmp9xvS3hIY+Pv2tod3fDse3hkZ/8+lvjZz+tUgu/1qF/p1HDv9aI+f6wmLtaa8vLNZcS471hcWaa9FeX1jWL9f9Afr3+vEC+ndtFHWDuWmaPwng9wB8H9vs7z+/2Wz+YNl3tR7aT4LOel47w/6TnzsRY98ZGX/taOszd/y1Q338aOvTHd8iOf1bI/Svn1z+tUoO/9YM/euH+syD6wtdWJ9+qE84vD8QD+8P6EB9bFJMBnPTNDcB/A1sf1zyawD/gu9H/XzUnMEsuP4IQd++WK6MVUjtpGBqDu4QgkD9DWkHYFb+d9++USzpN5Ip17cvFkHZvo3NIlXpb0P7CtYvikDvAgnq07h2Al3/WtRPoDQ/OdhXcg5uiuz5EAQz6rNg/aIIzP/u2zcZY9p1878F+v4tec4SRYR3gbj6LDmLNHXfEyj411jtHa51BYr+NaZdrG9bBNPqs2TvRhGR/923LwRz2hXMUAbzc0u8mUOapvkTAP5zbG8u/58A3oy9uVw7DvtPgtpvPKXMrOmOf5FgvFLQ0EdD/7XjQH18OOj71xpa/Y31eR0H6uPDgfpMQZDPv4T1OYYD9Qkhx/qiO76ltcYcHFifPhyozxi57g9Q8+s4sD59OFAfSyx+g7lpmhsA/jMA/yKAbwC8tdls/tay72qdtLkzD7A15Mlu+xG25uy+fnj81G1rCzaH9PqM6W+N1PqMbVsjp38t0U4+6N955PCvNe26f1MO/1rT7wR685ND/a2h3d9q7nca/rVEjvVFd3yL5PLv62nebnHQv3E45POvse8vD873pm6H6m/Nu6H68f6ADRa/wQzgzwD4rd2//yEAD5rhr9H/vc1m80aWd0UIIYQQQgghhBBCCCHEy+IZzE3TOIR/SP3zzWbza2MH1ZzBDFx97BRI/4hBO37JmYZT6WbKzR4LAfob0g5AdI4rEFmflvTz5LgCCo8IFaxdTCZfqvz0FsGI/gXrF8XEXDnBjPqsQDuBon+N6ZcyP/1yTAzoX7B2uTKYgRn1WbB+UQzoJ1DwrzHt2msuoLe+uBKRYUy/OVmugmn1WXIWqUbfEyT2r7Ha615zAV3/lnzNjWJmBjMwrT5L9m4UAfoJ0vjXnHYFU2wG82azEQDzXUsA9GcapsxE6o5vCc0fKWEm1R4B9fEh0Pfv3DFKQ6u/tWOxPvcIqI8PAfWZgkM+/77XfDBz9GmUuOAQsD59CKhPCDnWF93xyRYB69OHgPqMkev+wNyxLCJgffoQUB9LHC39Bkg6BFsj3gBw2tl/utv3w90xd7HPq8GE7aHxLaCpT5/+1kitz9h4ltDQx6e/NbT72+H41tDob77xrJHTvxbJ5V+r0L/zyOFfa+RcX1hbawD66wuLNdeSY31hWT/eH4hHkOf+gOX6o3/rgTeYDdF+ynOn57U72H8SdBYx9tnI+GtHW5+5468d6uNHW5/u+BbJ6d8aoX/95PKvVXL4t2boXz/UZx5cX+jC+vRDfcLh/YF4eH9AB+pjk8UzmDWoNYM5JEdYMP1xg8FzLNVOT361Czx1yjntsTVlygmm6zN6rCH9puSQChLUZ8Hazc3kE+j7t7ZcOUFC/xrUTqDQ34bOMahfF4Gef0vO5NPMYBYkqk+jtSfQ969137YIlPxrTL8pv/kimFef1vueQNe/1mov1Vot6Bxj2sX8ZoQgvj5L9m4UI79Z4kZOn3KsOe0KZiiDmd9gNoQLPKb9JEgCjhfUlX/joKtPO34tCOL0sRpH0IemPjJx/LXjoO/fmhDQvz4E9G9KHKhPKBJ4DP07jCCPf2vBgf4NQXt9Qf/24zC9PmvCgf714ZDn/gD9249DXfqsncV/5I+ko82deRCwfR/ACYBjAF8OHH8bwDmAR9ga+/B1a6TWZ2zbGin1CdHfCu3Flf6dB/07jxz+tabdCfT6W5/+1vTr/k3a/rWGZn/r098a2vOT7vgW0Z6fWPav9vykO/67ad96MeTyr63v4O7J4V9r3m3/plz+fT/lmy+Abk3w/oB9+A3mSnHYmvMc/Z8Eye61Y9TxyeQhDtRnDoJ5+jj49beEizyH9TmMA/UJRQb20b/jaOkjqLs+HajPGJr6uJHxLaCpj8wcf+04UB8fDvn8axFBPv/WiAP968Mhj3+tItD3L1keZjBbIjCTr4vg+iMKfft6sVQ7EzLl+vZNxpJ2uJopJ0j32FTfWAJjmYYRvm0RRNRnwdqlziIVKPi3YP1iuNU06fvb0FjGtJvjXSCiPivTT5DOvyVn8sX2PYHS/KRvLGO1NyUHd3AMBOpvTLs5+d99+0Yxqp9A37+PjfW9mBzcwbEQoL/R2gtBMLM+jWsn0PVvyXOWKCb+ZskYfWO1+96zpl3BDGUwMyKjchz2mTZtNnBNmUpjOFCfELT0cejX/yLB2BZwYH36cKA+Y2jq4w7GTzGmJRxYnz4cqI8Ph3z+tXbNdYnGYH0O40B9fDjo+/dxgnFKIsf6gvW5xYH6+HCgPlMQ5POvtb63RhiRYZC72OfRhGyfAriBbabNye7fpxPOt4CmPn3b1kitz5j+ltDQx6e/NbT7m3X9NPrbkP4WoX/nQf/OI5d/rZLDv9bIub6wrp+2f62RY33RHd8a2vMT6/WnPT+xrF+u+wOW/bsmeIOZEEIIIYQQQgghhBBCSBTMYLZEZB6kIPIRD0u1E5jjCiR6xMOSdtjnuALpHxESXNf/wpJ+CXNcgQD9C9YudQYzoODfgvWLoZtpCOj611qO61zvAhPrs0L9BGn8W3Ke4Zy+J9B9RLcd39Q1F0jiXSBQ/4q1EySoT8P6CXT9a63vHf5mxFwEI/obrr0QBDPqswLtBHr+Ldm7MaTMT78cE0MRGe8n+n8IgxnM1zOY+Q3myhFcbYgO+0wbWeg9lYSA+oSgpY+gX3+yRcD69CGgPmNo6iNIv2C2hID16UNAfXwI8vnXGpJoDNbnMALq40Og719r5FhfsD63CKiPDwH1mYJDPv+S5eGP/BmizaV5ELh9G8A5gEfYGrP7+n1s82yOAXw5cL41Uusztm0Jh/T6+PS3CP07D/o3jnZylsO/1rS7DZ3+NqS/Nf26f5O2f62h3d8Ox7eG5vykT39raM9P6N809fl+2re9OA766wv6N019WvNu92/K4d930731Imj1y+Ff/sjf8vAbzJUi2JrzGP2LB7d77Rx1fhInoD5zcJinj8CvvyUk8hzW5zAC6hOKG9hH/46jpY9D3fUpoD5jaOojI+NbQFMfN3P8tSOgPj4E+fxrEYd8/q0RAf3rQ5DHv1Zx0PcvWR5mMFsiMFtJEP7YsvdYS7UzkInmRk6bcmz3nFqySAVx+qw5R3gqUzPlBDPrs2DtUmQwC3T9W7J+UQTmz7vA4bznGNMuJlNOMKM+jek3lmnoRk6fcmzJeYYxfU+aRm1+UkuOsEBpfnJwbE351QIF/xrTL3TOJ5hfn9b6XuxaLeYcQT1rtRZBQv8a1E6gf3/AbI7wjLXa1HNK7nvWYAZzBUjgMVMM7VBXppBAV592/FpwiNOnpsxWTX3cxPHXjkDfvzXhQP/6cKB/UyKgPqG4wGPo32Ec8vi3FgT0bwja6wv6tx/B9PqsCQH960OQ5/4A/duPoC591g5vMBuiNeld7PNo0NmW3TE3AJz2vD60fbo7Z2h8C2jq06e/NVLrM6a/JTT08elvDe3+dji+NTT6m09/a+T0r0Vy+dcq9O88cvjXGjnXFxZrT3t9YbHmWnKsLyzWXIv2+sKyfrnuD9C/148X0L9rgzeYDdF+EnTW89oZ9p/83IkY+87I+GtHW5+5468d6uNHW5/u+BbJ6d8aoX/95PKvVXL4t2boXz/UZx5cX+jC+vRDfcLh/YF4eH9AB+pjE2YwW2IgH6hvXyxXxjJUO1NzcIcQBOpvSDsAs/K/+/aNYkm/kUy5vn2xCMr2bWwWqUp/G9pXsH5RBHoXSFCfxrUT6PrXon4CpfnJwb73Cs7kS5E9H4JgRn0arL1DBEr+NaZdN/9boO/fkucsUUR4F4irz5KzSFP3PYGCf43V3uFaV6DoX2Paxfq2RTCtPkv2bhQR+d99+0Iwp13BDGUwP7fEmyF6OOw/CWq/8ZQys6Y7/kWC8UpBQx8N/deOA/Xx4aDvX2to9TfW53UcqI8PB+ozBUE+/z5OMP7acWB9+nCgPiHkWF90x7e01piDA+vThwP1GSPX/QFqfh0H1qcPB+pjCd5gNkSbO/MAW0Oe7LYfYWvO7uuHx0/dtva4rkN6fcb0t0Zqfca2rZHTv5ZoJx/07zxy+Neadt2/KYd/rel3Ar35yaH+1m4wa/e3mvudhn8tkWN90R3fIrn8+3qat1sc9G8cDvn8+37zQaJ3HYb2t0iH5ntTt0P1t+bdUP14f8AGzGAmhBBCCCGEEEIIIYQQEgUzmC2xy7cR6D5i0I5/Yah2uplys8dCgP6GtAMQneMKRNanJf08Oa6AwiNCBWsXk8mXKj+9RTCif8H6RTExV04woz4r0E6g6F9j+qXMT78cE0MRGe8n+n8Io8QMZmBGfRqrvSH9BAr+NaZde80F9NYXVyIyjOk3J8tVMK0+S84i1eh7gsT+NVZ73WsuoOvfkq+5UczMYAam1WfJ3o0iQD9BGv+a065gmMFcCYLrhkyZidQd3xKaP1LCTKo9AurjQ6Dv38fGHlvT6m/tWKzPPQLq40NAfabgkM+/780c2wIC1qcPAfUJIcf6ojs+2SJgffoQUJ8xct0fcLAXSzUXAevTh4D6WIIRGYYQbI14A8BpZ//pbt8Pd8fcxT6vBhO2h8a3gKY+ffpbI7U+Y+NZQkMfn/7W0O5vh+NbQ6O/+cazRk7/WiSXf61C/84jh3+tkXN9YW2tAeivLyzWXEuO9YVl/Xh/IB5BnvsDluuP/q0H3mA2RPspz52e1+5g/0nQWcTYZyPjrx1tfeaOv3aojx9tfbrjWySnf2uE/vWTy79WyeHfmqF//VCfeXB9oQvr0w/1CYf3B+Lh/QEdqI9NmMFsiJAcYcH0xw0Gz7FUOz351S7w1CnntMfWlCknmK7P6LGG9JuSQyqYX58lZ1PNzeQT6PvXGao9AJMyDd3IUKPHGtROoNDfhs4xqF8XgZ5/Lfc9H4JE9Wm09gT6/rXu2xaBkn+N6TflN18E8+rTet8T6PrXWu2lWquFnFNy7cUQ85sRgvj6tKbf2G+WuJHTpxxrTruCGcpg5jeYDeECj2k/CZKA4wV15d846OrTjl8Lgjh9rMYR9KGpj0wcf+046Pu3JgT0rw8B/ZsSB+oTigQeQ/8OI8jj31pwoH9D0F5f0L/9OEyvz5pwoH99OOS5P0D/9uNQlz5rhz/yZ4g2d+ZBwPZ9ACcAjgF8OXD8bQDnAB5ha+zD162RWp+xbWuk1CdEfyu0F9dc/n092TsvC/p3Hjn8a027E+j1tz79renX/Zu0/WsNzf7Wp781tOcn3fEtor2+sOxf7flJd/x30771YsjlX2PfX74kh3+trTXa+Uou/76f8s0XQHe+x/sD9uE3mCvFYWvOc/R/EiS7145RxyeThzhQnzkI5unj4NffEi7yHNbnMA7UJxQZ2Ef/jqOlj6Du+nSgPmNo6uNGxreApj4yc/y140B9fDjk869FBPn8WyMO9K8Phzz+tYpA379keZjBbInATL4uguuPKPTt68VS7UzIlOvbNxlL2uFqppwg3WNTfWMJjGUaRvi2RTC9PkvOpkqdRSpQ8K+l2gNwq2nS97ehsYxpN8e7QER9VqafIJ1/LfY9gdL8pG8sY7U3JQd3cAwE6m9Muzn53337RjGqn0Dfv4+N9b2YHNzBsRCgv9HaC0Ewrz5LvuZGEZD/3bcvFov6CfTvD/wQwHvWtCuYoQxmRmRUjsM+06bNBq4pU2kMB+oTgpY+Dv36XyQY2wIOrE8fDtRnDE193MH4Kca0hAPr04cD9fHhkM+/1q65LtEYrM9hHKiPDwd9/z5OME5J5FhfsD63OFAfHw7UZwqCfP611vfWCCMyDHIX+zyakO1TADewzbQ52f37dML5FtDUp2/bGqn1GdPfEhr6+PS3hnZ/s66fRn8b0t8i9O886N955PKvVXL41xo51xfW9dP2rzVyrC+641tDe35ivf605yeW9ct1f8Cyf9cEbzATQgghhBBCCCGEEEIIiYIZzJaIzIMURD7iYal2AnNcgUSPeFjSDvscVyD9I0KC6/pfWNIvYY4rMK5/ybleqTOYAQX/Wqo9XM00BHT9ay3Hda53gYn1WaF+gjT+tdr3BLqP6Lbjm7rmAkm8CwTqX7F2ggT1aVg/ga5/rfW9w9+MmItgRH/DtReCIL4+S669KHq0E+j515p+KfPTL8fEUETG+4n+H8JgBvP1DGZ+g7lyBFcbosM+00YWek8lIaA+IWjpI+jXn2wRsD59CKjPGJr6CNIvmC0hYH36EFAfH4J8/rWGJBqD9TmMgPr4EOj71xo51heszy0C6uNDQH2m4JDPv2R5+CN/hmhzaR4Ebt8GcA7gEbbG7L5+H9s8m2MAXw6cb43U+oxtW8IhvT4+/S2Sy7+vp3zTBUH/xtFOznL415p2t6HT34b0t6Zf92/S9q81tPvb4fgo5mySAAAgAElEQVTW0Jyf9OlvDe31Bf2bpj7fT/u2F8dBf31B/6apT2trje58JYd/30331oug1S+Hf/kjf8vDbzBXimBrzmP0Lx7c7rVz1PlJnID6zMFhnj4Cv/6WkMhzWJ/DCKhPKG5gH/07jpY+DnXXp4D6jKGpj4yMbwFNfdzM8deOgPr4EOTzr0Uc8vm3RgT0rw9BHv9axUHfv2R5mMFsicBsJUH4Y8veYy3VzkAmmhs5bcqx3XNqySIVxOkzeo4h/aZmygnm1WfJuV4pMpgFuv61VHsAgvPnXeBw3nOMaReTKSeYUZ/G9BvLNHQjp0851lrfk6ZRm5/UkiMsUJqfHBxbU361QMG/xvQLnfMJ5tentb4Xu1aLOUdQz1qtRZDOvyXXXhQTrxlTju07x1qO8M9+51evbH/+xVP87u//IT588yW88coLQWPEnJODf/Y/+vnSb2ExmMFcARJ4zJSG51BXppBAV592/FpwiNOnpsxWTX3cxPHXjkDfvzXhQP/6cKB/UyKgPqG4wGPo32Ec8vi3FgT0bwja6wv6tx/B9PqsCQH960OQ5/5ALf5945UX8OGbL+F3f/8P8fkXT0ePL/XmMumHN5gN0Taxu9jn0aCzLbtjbgA47Xl9aPt0d87Q+BbQ1KdPf2uk1mdMf0to6OPT3xra/e1wfGto9Def/tbI6V+L5PKvVejfeeTwrzVyri8s1p72+sJizbXkWF9YrLkW7fWFZf1y3R+w7N97Dy9w7+HF5fanT77BUYPLm8yHr7fb7c3lo2Z7ztB4h9tkOfgjf4ZoPym7AeDOwWtn2H8yFtO87gD4S57x1462PnPHXzvUx4+2Pt3x34t/m8WS0781Qv/6yeVfq+Twr7UfHJoC/euH+syD64tp/PGv3cTP3rq1/ffuZohv+58C8Bdf+yX85u4Gy2vHz195/cn5d/hvNsCHb76ET598gz/unP+b+CTjXwYAyjEFPdC/4ZyB9wdi4f0BHV47fh5/8bVfuryB/Nrx81def3L+HX7397+77G9kHTCD2RID+UB9+2K5Mpah2pmagzuEIFB/Q9oBmJX/3bdvFEv6jWTK9e2LRVB2rldsFqlKfxvaZ6n2gGDvAgnq07h2Al3/WtRPoDQ/Odj3nrG+N8W3LYIZ9Wmw9g4RKPnXmHbd/G+Bvn8trTWA61mkofQ9Il7aY+NTskhT9z2Bgn+N1d7hWleg51+LGcxzEEyrT2v6jfW9NfS3IZjBfD2Dmd9gNobD/pvM7bftUmb6dMe39BCChj4a+q8dB+rjw0Hfv48TjFMSWv2N9XkdB+rjw4H6TEGQz7/W+l4MDqxPHw7UJ4Qc64vu+JbWGnPoZpZ++OZLALCKmy+5cKB/x8h1f6DWp/18OLA+fbC/2YI3mA3R5vo8wLZhney2H2HbvLqvHx4/ddvaxcMhvT5j+lsjtT5j29bI5V9rj4q3kzP6dx45/GtNu+7flMO/1vQ7gd785FB/azeYtftbzf1Ow7+WyLG+6I5vkTYn9KNdlMWU7Q/ffAnvfPYVAODjt1/GG6+8MHq+NejfOBzy+ff9NG+5GIbme1O3Q/W3tla79/BCrb9Z73drhD/yRwghhBBCCCGEEEIIISQKZjBbYpcPJNB9BKMd/8JQ7XQz5WaPhQD9DWkHIDrHFYisT0v6eXJcgfT+LTnXKyaTL1V+eotgRH9LtQdMzpUTzKjPCrQTKPrXmH4p89Mvx8RQRMb7if4fwigxgxmYUZ/Gam9IP4GCf41p115zAb31xZWIDGP6xWYwA1czSYHyHiFfMoMZUPCvsdrrXnMBXf+WfM2NYmYGMzCtPkteq8UQ0vdK729DMIP5egYzv8FsDMHVhuWwz/yRxONbQkMfh/T6rx0B9fEh0PevNbT6mwPr8xAB9fEhoD5TcMjnX8L6HENAfULIsb7ojk+2HP7gVTez9PMvni799hZHQP+Okev+gEswnjUErE8f7G+24A1mQwi2jeoGgNPO/tPdvraJ3cU+7wcTtofGt4CmPn36WyO1PmPjWUJDH5/+1tDub4fjW0Ojv/nGs0ZO/1okl3+tQv/OI4d/rZFzfWFtrQHs80Lbf4dstzdfjhrg0yffXL7+6ZNvcNTg8ibM4fnWyLG+sOjZFt4fiEeQ5/6A5fpL3d/Gtsly8AazIdpPxu70vHYH+0/KziLGPhsZf+1o6zN3/LVDffxo69Md3yI5/Vsj9K+fXP61Sg7/1gz964f6zIPrC12enH93+c2+146fv/b6a8fPX37T78n5dwu8w2Whf8Ph/YF4eH9AB/Y3mzCD2RAhOcKC6Y+wDJ5jqXZ68qtd4KlTzmmPtZYp58umEkzXZ/RYQ/pNySEVzK/PknO95mbyCfT96wzVHoBJmYZuZKjRYw1qJ1Dob0PnGNSvi0DPv5b7ng9Bovo0WnsCff9a922LQMm/xvT75AfHwZmih4+NpzpWi9wZzAJd/1qrvVRrtZBzSr7mxhDzmxGC+Pq0pl9fBvPa+tsQzGBmBrNpXOAxUzJ/BHVlKjno6tOOXwuCOH2sxhH0oamPTBx/7Tjo+7cmBPSvDwH9mxIH6hOKBB5D/w4jyOPfWnCgf0MIzRSdekOltsxSgb5/a8KB/vXhkOf+QC3XX/Y32zy39Bsg6Whzex4EbN8HcALgGMCXA8ffBnAO4BG2je/wdWuk1mds2xop9QnR3wrt5COXf19P9s7Lgv6dRw7/WtPuBHr9rU9/a/p1/yZt/1pDs7/16W8N7flJd3yLaK8vLPv3wzdfwjuffYUXbx7h0Y++B2Cfy/zRW7cAACc/+QW+/vYZPn77ZbzxygvXXvdt941vjVz+Nfb95Uty+NfaWqOdr2ivL9rx30/55gvg3sMLtf52eDxZHn6DuVIcts3xHP2flMnutWPU8cnkIQ7UZw6Cefo4+PW3hIs8h/U5jAP1CUUG9tG/42jpI6i7Ph2ozxia+riR8S2gqY/MHH/tOFAfH2+88gJevHmEr7991vtNvM+/eIqvv32GF28eRT0K3h3fIoJ8/q0RB/rXh0Oe669VUva3of5JlocZzJYIzOTrIrj+CEffvl4s1c6ETLm+fZOxpB2u5n8L0j021TeWwFimYYRvWwTT67PkXK/UWaQCBf9aqj0At5omfX8bGsuYdnO8C0TUZ2X6CdL512LfEyjNT/rGMlZ7Ib9ZMjoGAvU3pt2c/O++faMY06/NIu17RDxlzujnXzzNnlWqncEck4M7OBbG67Pk60YUE+Ysgnn+ta6dQPf6a02/n/3Orybvb0P98/GP8z65wQzm6xnMjMioHId95k+bDVxTptIYDtQnBC19HPr1v0gwtgUcWJ8+HKjPGJr6uIPxU4xpCQfWpw8H6uPDIZ9/rV1zXaIxWJ/DOFAfH91M0Q/ffAkAkv6IVWk/hJWCHOsL1ucWB+rjw4H6TCH1j/T5+idZHkZkGOQu9nk+IdunAG5gm/lzsvv36YTzLaCpT9+2NVLrM6a/JTT08elvDe3+Zl0/jf42pL9F6N950L/zyOVfq+TwrzVyri8s6tfmhQLAp0++wVEDvPPZV3jns69w1Gz3dY/tHj912xo51hfd8a2hPT+xfr3Vnp9Y1k+jv431T7IcvMFMCCGEEEIIIYQQQgghJApmMFsiMg9SEPmIh6XaCcxxBRI9AmNJO+xzXIH0jwgJeiIyLOmXMMcVGNe/5Fyv1BnMgIJ/LdUermYaArr+tZbjOte7wMT6NKZfm0Xqo/tYJZD2EXJNtLNI29oT6D6i245v6poLJPEuEKh/xdoJEtSnMf26fW+t/W0I7b53+JsRcxH467Pk+XIUE/ueIN6/NWgn0Lv+WtPvkx8cJ+9vpfRPZjBfz2DmN5grR3C1ITrsM4VkofdUEgLqE4KWPoJ+/ckWAevTh4D6jKGpjyD9DS9LCFifPg4z+7qZe/ylcP366Y5vDUk0Bv07jID6+NDubxZ7ZI71Betzi4D6+BBQnylo9Leh/kmWhz/yZ4g2t+dB4PZtAOcAHmHbGLuv38c2T+gYwJcD51sjtT5j25ZwSK+PT3+L5PLv6ynfdEHQv3G0k+Mc/rWm3W3o9Lch/a3pd+/hBT5669blvwFcbp/85Bf4+ttn+Pjtl/HGKy9cef3DN1/CO599hRdvHuHRj77Xe/7htjW0+9vh+NbQnJ/06W8N7fWF1ettS+r+NtQ/n7z7ar4/KgMO+uuL7vjvpnzzBZHDv9bWGt05WI7rr7Xaa+d7KfvbUP8ky8NvMFeKYNscj9G/eHC7185R5ydxAuozB4d5+gj8+ltCIs9hfQ4joD6huIF99O84Wvo41F2fn3/xFF9/+wwv3jzqfdTxjVdewIs3j/D1t89MfksvBM36kZHxLaCpj5s5/toRUB8f2v2tO75FHPL5t0YE9K8PQZ7rr1VS9reh/kmWhxnMlgjMVhKEP7bsPdZS7XS0EyTSx3NOLVmkgjh9Rs8xpN/UTDnBvPosOdcrRQazQNe/lmoPQHD+vAscznuOMe26+dUu9BzMqE9j+vVlMB8+9uhjyrG50c4ilaZRm5/UkiMsUJqfHBxbU361QOH6a0y/X755Q62/Ld0Tc2XPA4rri86xjwueL0cx4TdL3MhQY8eWvNaIYuI1Y8qxfedYq73D+d4a+9sQzGBmBrNpJPCYKQ3Poa5MIYGuPu34teAQp09Nma2a+riJ468dgb5/a8KB/vXhQP+mZOrioeZMZhd4DP07jEMe/9aCgP0tBK3+VurNFy0c9P1bEwL614cgz/2BWq6/7G+24Q1mQ7RN7C72eT7obMvumBsATnteH9o+3Z0zNL4FNPXp098aqfUZ098SGvr49LeGdn87HN8aGv3Np781cvrXIvceXuDew4vLxcNRA3z65Jtrrw9tf/rkGxw1uFykjB1vDfp3Hjn8a42c6wuLtafR34b6pzVyrC8s1lwL7w/Ek+v+gMVrRkvq/lbbfG9N8AazIdpPys56XjvD/pOxOxFj3xkZf+1o6zN3/LVDffxo69Md3yI5/Vsj9K+fXP61ypPz7y6/mfLa8fOTz3/t+PnLb8I8Of+ud/yaoX/9UJ95cH2hS0h/m9M/1w79Gw7vD8TD+wM6sL/ZhBnMlhjIB+rbF8uVsQzVztQc3CEEgfob0g7ArPzvvn2jWNJvJFOub18sgrJzvWKzSFX629A+S7UHBHsXSFCfxrUT6PrXmn4/+51fTfrYY99Y7b7HP/5eirccTM4s0lAEM+rTWO316SdQ8q8x7br53wKl9UVnn6W1BtCfPR+Cr7+V8tj4kn1PkN6/1nKED9e6Aj3/WtMu1rctpftXO0d4TL/S9fHBDObrGczPLfFmiB4O+0/K2m88pcz06Y5v6SEEDX009F87DtTHh4O+fx8nGKcktPob6/M6DtTHhwP1mULqxUM30+/DN18CgCv/rh0H1qcPB+oTQo71RXd8S2uNOfj6W8k3X3LhQP+Okev+gOUnrmKhf/1QH1vwBrMh2lyfB9g295Pd9iNsG3/39cPjp25bu3g4pNdnTH9rpNZnbNsaufz7epq3Wwzt5Jj+nUcO/1rTrvs35fCvNf3e+ewrfPz2y3jjlRcuc/M+eusWAMza/vDNl/DOZ18BwOX41tDubzX3Ow3/WiLH+qI7vkVS97ex862Ry7/W5ssO+fz7fpq3XAz3Hl6ozU/6jrfm3VD9Yvqb9X63RpjBTAghhBBCCCGEEEIIISQKZjBbYpdNJdB9RKgd/8JQ7XQz5WaPhQD9DWkHIDrHFYisT0v6eXJcgfT+LTkXLSaTL1V+eotgRH9LtQdMznIVzKjPCrQTKPrXmH6f/OA4+SOQ3dgNYLlHLEvMYAZm1Kex2hvST6DgX2PatddcQG99cSUiw5h+c7JcS+lvQyzd9wRp/VvyfDmG7m+WALr+Lfn3XmKYm8EMlO3fpTOYgbL18cEM5usZzPwGszEEVy8YDvtMJEk8viU09HFIr//aEVAfHwJ9/1pDq785sD4PEVAfHwLqM4Vu5t7nXzydPd5hpnN3fML6HENAfULIsb7ojk+2+Ppbiv65dgT07xi57g+4BONZg/71Q31swRvMhhBsm/sNAKed/ae7fe1F5C72eUmYsD00vgU09enT3xqp9RkbzxIa+vj0t4Z2fzsc3xoa/c03njVy+tcinz75BkcNLhcR9x5eXObpAQjebhcnR812zMPxrUL/ziOHf62Rc31hba0BQKW/DfVPa+RYX1j0bAvvD8SjOT+pxb+p9RnbJsvBG8yGaD85vNPz2h3sP6k8ixj7bGT8taOtz9zx1w718aOtT3d8i+T0b43Qv35y+dcqrx0/f/lNlSfn300+/8n5d5fffHnt+Pne8WuG/vVDfebB9YUuIf1tTv9cO/RvOLw/EI/m/KRm/1IfmzCD2RAhOcKC6Y+wDJ5jqXZ68qtd4KlTzmmPtZYp58tFE0zXZ/RYQ/p1M9Hc2LGYX58lZ8rNzeQT6PvXGao9AJMyDd3IUKPHGtROoNDfhs4xpt9hJt/hI5IhxJyTg6WzSFsEierTWO3FzPmmHNs9x5pvQ/KrXeBQQecY0++THxyr9LcSemHuvifQ9W/J8+UoEq3VQs6xpl3Mb0asyb9LZDCvSR8fzGAuNIO5aZpfaprm7aZp/p2maR42TfOHTdNsdv/9E0u/v7XgAo+ZkrkkqCtTyUFXn3b8WhDE6WM1jqAPTX1k4vhrx0HfvzUhoH99COjflEzN3Ct5waGNBB5D/w4jyOPfWnBgfwtBq7/Vllkq0PdvTTjQvz605ye1+Zf62Oa5pd/Ajj8H4L9Y+k2snTYX6UHA9n0AJwCOAXw5cPxtAOcAHmF78Th83Rqp9RnbtkZKfUL0t0I7Ocvl39eTvfOyoH/nkcO/1rQ7gV5/69Pfmn73Hl7go7duXf4bAD566xY+fPMlvPPZV3jx5hEe/eh7114HgJOf/AJff/sMH7/9Mt545YVrrx9uW0Ozv/XVpzW05yfd8S2ivb6wfL3V6G9j/dMaufz7ftq3XQw5/GttrdHOV3L598m7r+b74zLQne+l7m/W53trpIhvMO/4CsDvAfgAwG8v/F7M47C9eJyj/5NK2b12jDo+mTzEgfrMQTBPHwe//pZwkeewPodxoD6hyMA++nccLX0EddfnG6+8gBdvHuHrb5/1flPl8y+e4utvn+HFm0fVfXO5RbN+3Mj4FtDUR2aOv3YcqI8P7f7WHd8ignz+rREH+tdHLv9aJWV/G9KfLE8RGcxN09zYbDb/X2f71wD8r7vNf3Kz2fzdKePVmsEcmsnXRXD9EZe+fb0UUDvJmJAp17dvMpa0w9X8b0G6x6b6xhIYyzSM8G2LYHp9lpyLljqLVKDgX0u1B+BW06Tvb0NjGdNujneBiPo0pl9fJl+Xvkco1xKLkSOLVKA0P+kby1jthfxmyegYCNTfmHZz8r/79o1iTL+272n3t8+/eJq9R2r3vSm/WTI6Fsbrs+T5chQT5iyCef61pl3Ib0asZX7SR44M5tT9bUj/xz/O++QGM5ivZzAXEZHRvblM8uKwz1xqs4FrylQaw4H6hKClj0O//hcJxraAA+vThwP1GUNTH3cwfooxLeHA+vTRzdz78M2XAGC1izcNHPL519o11yUag/4dxoH6+NDubxZ7ZI71BetziwP18cH5yTRS33z36U+Wx+538CvmLvZ5SCHbpwBuYJu5dLL79+mE8y2gqU/ftjVS6zOmvyU09PHpbw3t/mZdP43+NqS/Rejfedx7eHGZn9e3/emTb3DUAO989hXe+ewrHDXbfaHnH25bI5d/rZLDv9bIub6wqJ9mf7Pe73KsL7rjW4P3B+ahPT+x7F8Nfcb0J8vBG8yEEEIIIYQQQgghhBBCoigig/mQmAzmpml+G7sfB3z11Vd/4+c/rzAPJTIPUhD5CEyBtRNNYI4rkOgRIUvaYZ/jCqR/hErQE5FhSL+xHNIxuo8dAeU9opUji9SHILF/DdUecDXTEND1r7Uc17kZzMDE+jSmX0jvK72/DZGr7wl0H2Fux7d0zQWQxLtAoP4VaydIUJ/G9Ov2vbX2tyG0+97hb0bMReCvT2s5wlP7niDev9a065uvWPKvdo7wJz84Tq5PKfozg/l6BrOZbzBvNpu/ttlsvr/ZbL5/69atpd/OahBcvWA47DOXZKH3VBIC6hOClj6Cfv3JlsNMq24mFX9Jl/4NQVMfQfobXpYQsD59sL/5EeTzrzUk0Rj07zAC6uNDu79Z7JE51heszy0C6uOD85NpaPS3If3J8hTxI38kDW3u0YPA7dsAzgE8wvbC0X39PrZ5S8cAvhw43xqp9RnbtoRDen18+lukzZX66K1bQdsnP/kFvv72GT5++2W88coLV17/8M2X8M5nX+HFm0d49KPv9Z5vDfo3jnbxkMO/1rS7DZ3+NqS/Nf3uPbxQ62/W+512fzsc3xqa85M+/a2hvb6wer1tSd3fhvrnk3dfzfdHZcBBf33RHf/dlG++IHL49/XUb3phuvOVHP5tz7VCq1/K/jakP1keM99gJtMQbC8ex+hfPLjda+eo85NKAfWZg8M8fQR+/S0R80nu5188xdffPsOLN496HwV645UX8OLNI3z97bMqP0kX0L+huIF99O84Wvo41F2f7G/jaNaPjIxvAU193Mzx146A+vjQ7m/d8S3ikM+/NSKgf33k8q9VUva3If3J8pjJYO7y/e9/f/PTn/409dsqn8BsJUH4Y8veYwusnWg62gkS6eM5p5YsUkGcPmPnWMr2+uWbNyZlRh0+FpTqWC1yZzALdP1rqu8BwfnzLnA47znGtOvmV7vQczCjPo3pN5ZpuIb+NoR235OmUZuf1JIjLNCZnxweW1N+tUDh+mtMv9A5X0x/W7on5pzvCfT9+9jQWgPApN8scSNDjR1raZ0GbOcr2vOTJf2rnSN8ON9bmz4+mMFsOIOZhH2SKJh2QXaoK3NJoKtPO34tOMTpU1Nm65RMqqkX19oywQT6/q0JB/rXh4OuPlPHXzvsb+G4wGPo32Ec8vi3FgTsbyFo9bdSb75o4aDv35oQ0L8+tOcntfmX+tiGN5gN0Tb5u9jnIaGzLbtjbgA47Xl9aPt0d87Q+BbQ1KdPf2uk1mdMf0t8+uQbHDW4vMjee3hxmScF4HK7vbgeNdtzDl8f2j4c3xra/e1wfGto9Def/tbQ6G9D+lskdX8bO94a9O88cvjXGjnXFxZrT6O/DfVPa+RYX1isuRbeH4hHc35Si39T61PbfG9N8AazIdpPEs96XjvD/pPJOxFj3xkZf+1o6zN3/LVDffy8dvz85Se5T86/u/b6k/PvLj+5fe34+VnjWySnf2uE/vWjrU87vlVS9reh/lkz9K8f6jMPri900Z4frh36NxzeH4hHc35Ss3+pj02KyWBumqb7s4+/AuBv7f79zwP4Xzqv/R+bzcabfl5zBrPg+iMufftiuTJWIbWTgltNk14fzz5rmXJz8r/79o1hKdurm0vV9whQyseCPv/iadG5XrFZpCr9bWhfpd4FEvjXuHYC3euvNf2mZhqO4eufj3+c9xfZc2fPhyCYUZ/Gaq9PP4GSf41p183/FiitLzr7LK01gP7s+RC054cpWLLvCdL719JaA7i+1hXo+deadrG+bSndv7kzmA8pXR8fzGC+nsH83BJvZoCh77T/dwfbvw7gf9N9K+vFYf9JYvuNp5SZet3xLT2EoKGPhv5rx4H6+OhmUn345vYzt5QX15Iv0LFo9TfW53UcqI8PB+ozhdSLB1//JKzPMRyoTwg51hfd8S2tNeagPT9cOw707xh/5e2X8Zs99fPiKy/gZzPHfhHAX/ni6eX4v/nKJ7Pf7zSUfyBxJvSvH+pji5JuMJOZtLlHD7C9oJ7sth9he3Htvn54/NRta4/rOqTXZ0x/a6TWZ2zbGm1u1Edv3cKHb76Edz77CgDw8dsv441XXrjy+uHxMdtWaBcP9O88cvjXmnbdvynH9deafu989pVKf+vrn9bQ7m819zsN/1oix/qiO75FUve3WuZ7Lbn8+3qat1sM7U08zfVFO/6Td1/N8Sdl497DC7X5Sd/x1rwbql+K+iTLU8wN5s1mM/15P0IIIYQQQgghhBBCCCGLUUwGc0pqzmAGruYgAekfEWrHvzBUO91MudljIUB/Q9oBiM5xBeLq01K212EuVfexcWD9jwhpZ/Klyk9vEYzUZ8XeBWb6twLtBIrXX2P6ffKD4+T9rZT+WWIGMzCjPo3V3pB+AgX/GtOuveYCeuuLKxEZxvSbk+VaSn8bYum+J0jrX0trDeDqNRdIXz9LZuYunSEcQsn+LUG/kvXxwQzm6xnMR0u8GaKH4OoF1WGfSSWJx7eEhj4O6fVfOwLq4+NwctbNpPr8i6dJxreGVn9zYH0eIqA+PgTUZwoa/W2ofxLW5xgC6hNCjvVFd3yyRXt+uHYE9O8Y2uuLtdwQXAL61w/1sQVvMBtCsL2Q3gBw2tl/utvXXmTvYp8vhQnbQ+NbQFOfPv2tkVqfsfEsce/hBe49vLi8uB41wKdPvrl8/dMn3+CoweVFtj3+8Pyx7XZ8a2j3t8PxraHR33zjWUOjvw3pb5HU/W2of1qF/p1HDv9aI+f6wtpaA4BKfxvqn9bIsb6w6NkW7fXF4fiW0Jyf1OLf1PqMbZPl4A1mQ7Sf3N7pee0O9p/knkWMfTYy/trR1mfu+GuH+vh5cv7d5Se3rx0/f+31146fv/wk98n5d7PGt0hO/9YI/etHW592fKuk7G9D/bNm6F8/1GceXF/ooj0/XDv0bzja6wvL11rN+UnN/qU+NmEGsyFCcoQF0zOpBs+xVDs9+dUu8NQp57THWsuU8+WiCabrM3aspVy0KTmkMY+gLf3YWs5MPoG+f11F3gUS+9egdoL0/W3wHGP6+fLn19Lfhlg6i7RFkKY+LV1zAUTN+aYc2z3Hmm9D8qtd4FBB5xjT75MfHKv0txJ6Ye6+J9D1r7W+5zzB8yIAACAASURBVMvBXfv1VzsHN+Y3I9bk3yUymNekjw9mMDOD2TQu8JgpmVSC9D/iUTIOuvq049eCIE4fq3EEfUy5YE7NpCr5gqyBg75/a0JA//oQ6Oozdfy1w/4WjgQeQ/8OI8jj31pwYH8LQau/1ZZZKtD3b03w+utHW5/a/Et9bPPc0m+ApKPNjXoQsH0fwAmAYwBfDhx/G8A5gEfYXpgPX7dGan3Gtq2RUp8Q/a3QXlzb3KiP3roFAN7tD998Ce989hVevHmERz/6Xu/xJz/5Bb7+9hk+fvvl3vGtQf/OI4d/rWl3Ar3+1qe/Nf3uPbxQ62/W+51mf+urT2toz0+641tEe31h+Xqr0d/G+qc1cvn3/bRvuxi01xfda7sV2r8pl3+fvPtqvj8uA92aSN3frM/31gi/wVwpDtuL6zn6P6WV3WvHqOubBS0O1GcOgnn6OPj1t0TMJ/9vvPICXrx5hK+/fdb7Se7nXzzF198+w4s3j6r4ZsEhDvRvKDKwj/4dR0sfQd31yf42jmb9uJHxLaCpj8wcf+04UB8f2v2tO75FBPn8WyO8/vrJ5V+rpOxvQ/qT5WEGsyUCM/m6CK4/YtS3rxdLtTMhU65v32QsaYer+d+CdI899o0lAB4bykXzZaKN0feIUWmPrS2ZRSpQ8K8x795qmvT9bWgsY9rFXHO7CCbWpzH9xnrfGvrbEDn6nkBpftIzlqVrLhD2myWjYyBQf2O+nZP/3bdvFGP6tX1Pu799/sXT7D1Su+9J06ivL7r7aspgPmRt19/cGcJr02eMHPql7m9D+j/+cd4nN5jBzAxmcoDD1UwqQZ2ZaEM4UJ8QtPRx6NefbDnMpFrz5EYDB/p3DE193MH45CoOrE8f7G9+HPL51xou0Rj07zAO1MeHdn+z2CNzrC9Yn1t4/fVDfaah0d+G9CfLwxvMBrmLfZ5UyPYpgBvYZlKd7P59OuF8C2jq07dtjdT6jOlviXsPLy7zo2K2P33yDY4a4J3PvsI7n32Fo2a7b+h4a2j3N4v9rotGfxvS3yIa/c2nvzVS97exbWvk8q9VcvjXGjnXFxb10+xv1vtdjvVFd3xraK8vrNef9vzEsn4a+ozpT5aDN5gJIYQQQgghhBBCCCGERMEMZktE5kEK9o8FARMeEbJUO4E5rkCiR6gsaYd9jiuQ/hEzwXX93zOUizYngxnAtceCSntEa8kMZkDBv8a82800BHT964xpNzeDGZhYn8b0C+l9pfe3IXL1PYHC/KRDO76lay6AJN4FAvU35tsp2gkS1Kcx/bp9b639bQjtvnf4mxFzEfjrs+YMZmBd9Zk7gxlYlz5jaOv3yQ+Ok+tTiv7MYL6ewfzcEm+GlIPg+gX1fs++WhHo6PNB88HMdzYN7UmLVv1Iz1jbHxwiQH+mVZtJtdZJTkoE7G9jaOojCceyiID16YP9zY8gn3+tXXMFevMT+neLgPr40O5vS/zInzY51heszy28/vqhPtPoZiZr/chfO37uH/kj1+ENZkO0uVIPArdvAzgH8AjbC2n39fvY5lEdA/hy4HxrpNZnbNsSDun18elvbbEL7HP5PnrrVtD2yU9+ga+/fYaP334Zb7zywpXXP3zzJbzz2Vd48eYRHv3oe73nW4P+jaNdSOXwrzXtbkOnvw3pb02/ew8v1Pqb9X6n3d8Ox7d2zdWcn/Tpbw3t9YXV621L6v421D+fvPtqvj8qAw7664vu+O+mfPMFob2+6F7brdD9m3L4tz3XCq1+KfvbkP5keZjBXCmC7cX1GP2f0rrda+e7Y2tDQH3m4DBPH4Fff0t8/sXTqHO+/vYZXrx51Psp8BuvvIAXbx7h62+fRY2/dgT0byhuYB/9O46WPg511yf72zia9SMj41tAUx83c/y1I6A+PrT7W3d8izjk82+N8PrrJ5d/rZKyvw3pT5aHGcyWCMxFE4Q/AuQ91lLtdLQTJNLHc85jY7leQ7UniNNn7BxLuWi/fPPGpMeF+h4LSnGsFrkzmAW6/jXV94Dg/HkXOJz3HGPadfOrXeg5mFGfxvQbyzRcQ38bQrvvSdOozU/6zrF0zQUANI3a/OTw2Atjvk11zQg+1ph+oXO+mP62dE/MOd8T6PvX2lptLIN5zdffHBnM2vosqWnuDOu16eODGczMYDaNIP0NFYe6MqkEuvq0478X9/ZWh0OcPjXUWsuUTKqpF9fUmVelI9D372Nj+ek+HOhfHw66+hyOb7322N/CcYHH0L/DOOTxby0IdK6/1n6zRKu/lXrzRQsHff9aiwbyweuvH219avMv9bGNzednKuWH2F5A72KfJ4XOtuyOuQHgtOf1oe3T3TlD41tAU58+/a2RWp8x/S3x6ZNvcNRsf/328y+e4t7Di8s8KQCX2+3F9ajZnnP4+tD24fjW0O5vh+NbQ6O/+fS3hkZ/G9LfIqn729jx1qB/55HDv9bIub6wWHsa/W2of1ojx/rCYs21aK8vLF9vNecntfg3tT61zffWBG8wG6L9JPes57Uz7D+5vRMx9p2R8deOtj5zx1871MfPa8fPX36S++T8u2uvPzn/7vKT29eOn581vkVy+rdG6F8/2vq041slZX8b6p81Q//6oT7z4PpCF+354dqhf8PRXl9YvtZqzk9q9i/1sQkzmC0xkCnXty+WK2MZqp1bTZNeH88+i3mGIQjS1Kcl/bq5VH2PAKV8LOjzL54WnesVm0Wq0t8G9lmqPQDB3gUS+NfQNQNAUP53375YrNXe1EzDMXz98/GP8/4ie+7s+RAE8fVprfb69BMo+ddY3+vmfwuU1hedfbXl4A6hPT9MwZJ9T5Dev9b63mH+t/b1Nye5M4SnUrp/l9avdH18MIP5egYzv8FsDIf9J7mC9Jl63fEtoaGPoL5MwzEcqI+PbibV5188TX5xLfkCHYtWfxOwPg9xoD4+HKjPFDT621D/JKzPMRyoTwg51hfd8ckW7fnh2nGgf8fQXl90xydXoX/9UB9b8Ef+DNHmRj3A9oJ6stt+hO3Ftfv64fFTt609ruuQXp8x/a2RWp+xbWu0uVEfvXULH775Et757CsAwMdvv4w3XnnhyuuHx8dsW6FdPOTy7+sJ3nOJ5PCvNe92/6Yc119rtffOZ1+p9Le+/mkN7fmJ9eut9vzEsn451hfd8S3+0Frq/lbLfK8ll3+tXXPbm3ia64t2/CfvvprjT8rGvYcXavOTvuOteTdUvxT1SZaH32AmhBBCCCGEEEIIIYQQEgUzmC2xy6YSXP1BqtSPCLXjXxiqnW6m3OyxMK6/tVyv2BxXIK4+Lel3mEt1+Fj32h8R0s7kS5Wf3iLw16el2gMwOctVMMO/hq4ZAEZzXIG0119rtffJD46T97dS+meJGcxAfH1aq70h/QQK/jXW99ocVyC9v/r8W3J+egxzslxL6W9DLN33BGn9a63vda+5gK5/S77mxjA3gxko278l6FeyPj6YwcwMZvMIrl5QHa5mUqUc3xIa+jik13/tCKiPj8PJWepMM4u5aFr9zYH1eYiA+vgQUJ8paPS3of5JWJ9jCKhPCJrzkz7/ki3a88O1I6B/x9BeX6zlhuAS0L9+qI8teIPZEILthfQGgNPO/tPdvvYiexf7fClM2B4a3wKa+vTpb43U+oyNZ4l7Dy9w7+HF5cX1qAE+ffLN5eufPvkGRw0uL7Lt8Yfnj22341tDu78djm8Njf7mG88aGv1tSH+LpO5vQ/3TKvTvPHL41xqa85M+/1pDo78N6W+NHOsLi55t0V5fHI5vCc35SS3+Ta3P2DZZDt5gNkT7ye2dntfuYP9J7lnE2Gcj468dbX3mjr92qI+fJ+ffXX5y+9rx89def+34+ctPcp+cfzdrfIvk9G+N/P/s3XncXGV99/HP7w6QBAIiCQkQjFsrihYUDC643KFIBVkUa11AC0VRLBXkwbo9ahHEDRVUngICRQvuVUyrVixwoyjK4hKQpUVFa8AEAkICCUvye/64zpDJ3DNnZs6+fN+v1/0Kc8+cw3V/X9d1nTPXnPkdjd94eefT2X9TZTm/DZo/20zjN57ySSfv8dt2eZ8f1p3G7+jyfn/R5PGb5/lJm8ev8mkm1WBukFHqCE8xfk2qgds0qe/0qV89OeKm42zTee2xDavrFVcXbYrx8xn22ibVRRunDmmSr6CV/bW1ImvyTZH/+L2iQX0PGKum4eSQXQ19bZOOGQBmucxvg7ZpWt+Lqz9fl/ltkLJrkXZMkU3/bNIxF0h0zjfOa7u3mWzYvDeolmZTxm/e9TTPP2RBLvlUIcui570p8h2/TZv34urg1n38FjFu88yn7CzLqMFcp3ziqAazajA32uSIrxmnJtUU2d8ksMomyTefzv7bYopk+TS1HEE/4xwwx61JVeUDch4myX/8tskUGr9xpsg3n3H3X3ea30Y3NeJrNH4Hm6KY8dsWGr+jySufttUsnSL/8dsmGr/x8s6nbeNX+TTbZmU3QLLTqRt18QiPvwYsARYAfxzw+h2AFcDlhANz7/Mn2UkZtXw0eX+ym3U+cY+vyLDdVZFlPqPk3xSdg2unbtQZ+28PEPv4tP3mcdTSlcydPcHlR+zc9/VLLvgDq9Zu4LyD5/fdf9MUNX6flWWjK6SI8du0sbsEOO/g+cxdOIt9xhi/H12+jiVjjN/O/s/Y//zC/rYg32Pucd+9M7f5renzXZ7nJ/3Gb9PkfX7Svf8myvv8pMnjN498huXfNEWN33/KttmVUcT4bdrY7fxNRY3fZccsKu6PK0B3n8h6fmvy8aKutMDcUpOEg+sKoq/w9Tw/FT23oM9zbTCJ8kljinT5TBKff5Mk+eR/8cJZzJ09waq1G7hm+bpp+7hm+TpWrd3A3NkTrbiyoNckGr+jmiL7fCZpx/hNOr40fuMpn+HynN8mh+y/CfLMZ6pn/027GGMYjd94eefTvf8mmqK48dtGGr/xihq/TZXl/DYo/zb2y6pRDeYmGbEmX7cppn/FqN/v+mlUbaoB2U2RPJ84jcqOTet/T5Hd17r77WuKZtUijauJNky/rxhV7WtrZdYinSL78du0sbu9WebzW8e0fTXsfCPN2IXqj98yavJ1q3o+cYqY96bI5/yko3tfTTrmwmj3LBm6D0bLv2nHjFHnvbqO36LmvbzzKWOhJe95b8os9/cX3b9r69iF+o3fos9X6pbPMEXkl/X8Nij/K44s9psbqsGsGszSY5JNa1JN0a6aj8NMonxGkVc+k/TPX4LemlR1PrnJwyQav8Pkmc9kz/5lUxq/8ZRPvEmKG79NM5nRPnR8GUzjN17e+TQx4yLeX2j8Bhq/8ZTPePKY3wblL+XTAnMDvZyN9aRGeXw6MINQk2pJ9N+nj7F9E+SZT7/HTZN1PsPyb5Ljvnvno/Wjkjy+cNlqJgyOWrqSo5auZMLC7wa9vmnynt+aON91y2N+G5R/E2n8ppN1PsMeN01R47ep8jg/6c2/afKc3/o9bpo857emz3dFvL/o3n/T5H1+0vT+l/f5SZPzyyOfYflLeVSDWUREREREREQq6ZHZE9y3YCbXRzfzui9abErz+JEVD0JUr7p3/4fSrBvriogUQTWYmyRBDWbY9GtBMPpXhBpVm2rEOq6QzVeoGpUdG+u4QvZfMZtiev7HNii/LOu4ApX7ilaZNZgh+/HbtLHbXdMQ8h2/kw0730g7dqHa47fsGsxQ7XziFDXvTZH9+Um3zv6bdMwFEp8v95pieP5NO2YkreMK9Ri/Rc57dcwnTt7z3nazZ2SaT9Xyr8Ixt1vV8olTRnZ1ymeYvPM7/5AFmedTlfxVg1k1mKXHFJueEE+impndplA+o8grnyn65y9Bb02r3ppUbTeFxu8weeYzhWoaxtH4jad84k1R3PhtmqmM9qHjy2Aav/HyzqeJGWedj/rnYMonnvIZTx7z26D8pXwqkdEgnbpSF4/4eAdgBXA54cS4+/mvEepRLQD+OGD7psk6n2GPm2SS7POJy/+KzFpeHZ26UmdEX80b9njJBX9g1doNnHfwfBYvnLXJ86ftN4+jlq5k7uwJLj9i577bN01R4/dZWTa6AjqLI0WM36bNfUsu+MPA8ZXH+G3a2O3+m7Ke35o+3+V9ftK7/6Ydc/M8P+mXf9PkfX7S9PGbdT6D8l92zKLi/qgCdBaRsspn1Pybpojx27Sx2/03FTF+m9b3OvkVMX6lfFpgbqkpwsnxAvpfWTYZPbciem2/1zTZFMpnHNcfs2iT2mZzgbkX/IEVazdwfnQAGKc22jXL17EiOgDNPWJnru95vkl10a5Zvm7sr/Ncs3wdq9ZuYO7sib7bLl44i7mzJ1i1dkOi/dfdFBq/o5oc8Ls0+UwRn39TJB1fGr/xlM9wec5vU0P23wR55jPZs/+20fiNl3c+3ftvoizzGZZ/G2n8xitq/DZVEeNXyqcazE0yYk25KUb/2nLcaxtVV64ruymyySdumyualB2D63r1foVlFEm2yVue9ZXGrSk3Tj5VyLLoGsxT5Dt+GzXvwcj15ydH3F3sNg0730hSU65O47fsmoZVzydO3vPelFlu5ydtqCOMWfbz24DXNq1+dVwd1yaM37znvVHP+ep4/pz3vDeofnVex9+m1XIdVoO5zuO3iOzyzqfMTIvue3XLJ45qMKsGc6NNjfiacU6oJ2lXTbkp8s2ns/+2GLfmUlUPHnnKM5+21QSbIv/x2yaTJJvf2lJzOe/5rW3jV/mMbnLE12j8DjZJvvl09t8WGr+jySuftp0/F3H8bRON33h556PxG69t+dSdFpgbpHOS/HI21oOj6/FU9JoZwOl9nh/0+PRom0H7b4I88+mXf9N06h91/rv78YXLVjNhPHoQ6X2+87hz8JiwsM2g/XX/dxPkkU9c/k2T9/zWu/+myWN+i8u/aYocv02U9fw27PVNo/GbTtb59Mu/afI8P2n6+R7kM78Nyr9pinh/0cQ+15H3+4sm55fn+YnGr8Zv06gGc4N0rsSYATy357mfsPHKiyQnvM8Fjo/Zf93lnU/a/dfdbgtmcvhuWz96gNhtwcxNnl+24kFOvORBTttvXqMProPknU/3/q84slk3joBix2/TbnY1iqzmt5PspFzaN0juX7OPFDV+myrL+W1Q/m2m85N4yiedvMdv2+n8OZ7yGd2yFQ/m+v6iyeM3z/OTNvdP5dNMqsHcJANqyvX7XVLd+2pSHeHtzTLPZzLmd02rZzisrldHv6+41OFrL3nWVxpWUy7LfKpeUy5pLdI85rfJAb9r2tgdtXY/jD6/DdK07EapKVeH+W2QqtU0HCYu/6I/WCu69vwopkg+fps2dvvlN0U+589Ny+78Qxbkdn7Sb/xW+ZwliVHPl3vV4fhSZA3mXnXIZ5ii63/nPX6LVNVx21H1/ll2flXPJ45qME+vwawrmBtmko1XMndqv2VZU697/8dmsL+qyCOfPPKvu+6aS6ftNw+gFgePouSdTxMzzmt+0/idbhLlE0fz23iyfvMQl79o/Ha7/phF0343F/jo8nUc2qf/zF04i+sT/r8O5fzkDU0k3wXmPM9P+o3fJn7rKgkdX+Ipn+Hyfn/RvX9lvin1z3jKp1m0wNwgnbpvFxPeMCyJHl9OePPQ/Xzv68d93LSvik+SfT7D8m+aTt2jM/bffujj0/abx1FLVwJw3sHzWbxw1ljbN1HW+bQlv87iSFHj91kZtLmKsp7f+j1uWnbHfffO3Oa3fo+bNnaPWroyl/mtX/5Nk/f5SZvPV/IYv02S9/lJ7/6bKOv5rU39DzR+k+os4hUxfpf1+RCvzgad7437eNT8m9b3Rs1P6wPNoJv8iYiIiIiIiIiIiEgiqsHcJFFNuSny/QpkZ//HNqiu3JRZ5vnE5d+0mnzj1Kbq/lo01OMrMEXVYIZ65hMn75p8WdVP75gifvw2beyOW8t1iuTHl6Zl12/ea9L4zbuu3PmHLMg8n6rkX8UazJB8/LZh7EJ1+k8aRdVxhezz6Zd/leunJ5GmlmvV+2eZNZih+vkMU+QxF/Idv1U+5iaRtgYzVLt/ViG/KucTRzWYp9dg1hXMDTPFpm8YJtlYc28q4/03SR75TJJ9/nXXe/LRXXPpmuXrym5e6fLOp4kZ5zW/TaLx22sK5RNH89t48pjfBuUvGr/DaPyOJs/zk375S6D+GU/5DJf3+4u6LAiWQf0znvJpFtVgbpApwhuFGcDpbLwi5fTod503FqdHvx+3dt/xPftvUj3NPPKZjH7fL/8mZQej1VY6fLetOfGSu5gwuHDZ6kdPQC5ctpoJ23jic+Gy1X23b2ptqjzy6fe4s/+m3TAnr/ltcsD+m2afJ8wGRu8/EwYfXDCTudHzH/zunfiKBznUGdo/m3azKyh2/DbxTVvW89ug/Jsqj/OTfts37Zylo4jx26TzFcj3/KRf/k2b95LUck3aP5umiPcX3Y+bJu/3F737b5Jrlq/L7fxE41fjt2l0BXODdN4gPLfPc89l45UqP0mw758M2X/d5Z1P2v3X3bIVDz56gNhtwcxpz++2YOajn1QuW/FgCS0sV975dO+/iYocv22k8RuvqPHbVFnOb4PybzOdn8TT/JZO3uO37dQ/4ymf0eX9/qLJ4zfP85M290/l00yqwdwgo9QRnmL8msyDtmlUTb4+9asnR9x0nG06r21S/WqIr600ztemqvoVqzzrK41ThzRJPmVnWmQt0inyH79XtGjsQr3HbxE15fLOp001DeuWT5yq1GCeYvzzk36vbdT5Hhv7XhHjt+njtqMp47eIOrh55FOFLIuuwVy3fIYpsw5u3cdvFe8ZUaf+WUbfq1M+cVSDeXoNZpXIaJDJEV/TuVIl7RuOJpok33w6+78iWfNqZ9wDQnfNpSoeRPKQZz5VPiDnYZL8x29bxi5o/A6Tdz5tG7/KZ3TnHzx/rHzmLpzF9UP2ORf46PJ1HNon0yaWtylq/DatLNUgGr+jySsfHX/jJemfTc+wm8ZvvLzz0fiN17Z86k4LzA0yai2+iwkLKkuABcAfB7x+B2AFcDlhYaX3+Sa5/phFm9Tu+ejydSxZupK5sye4/Ijw5qC3ts+SC/7AqrUbOO/g+cxdOIt9RqzF1PRapP3yWbxw1si1qs7Yf3tO228eRw3Jvyk6B8qs8xmWf9NkPb8Netz0WqR5jt+m9b2jlq7MbX7rl3/T8htUizSL+a3p813W+QzLv2nyPj/p3n8T5X1+0uTxm0c+Gr/5jN9lxywq7o8qUBHjt2ljt/M3FTV+m9b3uvuE1geaTzWYW2qSsPiygv53D5+KnltAO65c7rV44Szmzp5g1doNfe9ees3ydaxau4G5syf0KVofafMZln+T5JFP2/vnJJrfRpVH/2nL+M0rn7aPX+UzXJ75tGH85plP2/un8omXdz7d+2+ivOe37v23kcZvvKLGb1MVMX6lfKrB3CQj1uTrNsX0r4j3+10/TarJN05NuTp+LajImnJZ5jMo/ybVNBxWAzdOHfpnmbVIp0g+vw3SpHkPYLvZM3LrP2X3xTLrGY6i6uO37Pyqnk+cImqR5p1Pk+t/j1MHd5Cq9s+yx21HVfMZpqj8ihi/VR63Sea9JHVwB6li/6zK2IVq5hOnCveMqHI+w1TtniXDxOVfdFkq1WBWDWbpMcmmNUuhXTWXh+mt+QPj1cxti7zyGZR/W2oaDqP+GcrbDNJbUxQ25jNKTdJ+mlbeJs/+o5pp8TR+4ymfeHnn073/ph1z8zw/Uf8MlE+8IsZv0xTx/kL9M1A+8ZTPeLJefI/LX8rX3GvwW+zlbKwXOsrj04EZhJqlS6L/Pn2M7ZugU7+n89/djy9ctpoJCzUPj1q6kgkLvxv0+lEeN03W+QzLv0nyyCcu/6bJOp9hj5smj/ltUP5NpPGbjsZvOkWN36YqYvw2TZ7zWxvOl/N+f9HEzDqKeH/Rvf+myfv8pOn9r4j1gabmV9T6QJPHb51ogVlEREREREREREREElEN5iZJUIMZNq1JCqOXyGhSLdK4ulTdX+uAen4FJu/6QJ06rpB9Pv3yb1J9pSzruEL1+mcRtUjjVD2fYYqoRZpnPk2u45p27EK1+2cV8qtyPnGKmvfyzqepNQ2zGLtQzf5ZpeyqmM8wReZXx3zi5D3v9d4zIq2q5V+lsQvVyydOGdnVKZ9hinyv0bTxqxrMqsHcaHG1SAfpHpxzowHZXbM0bpA2rRZpP/0WR1RTdLq88hmUvwTqn/GUz3B55lPnG54UQf0znvKJl3c+vW/emiSLG6Cpf8ZTPvGKGL9Ny7iI9xfqn4Hyiad8xpP1PVni8m/aPSPqSAvMDdKpS3PG/tuP9HjJBX9g1doNnHfwfBYvnLXJ86ftN4+jlq5k7uwJLj9i577bN03W+Qx73CR55BOXfxNp/Kaj8ZtM5+SsiPHbtOyWXPCHXOa3Qfk3Lb/uvynv8ds0ec9vvftvmjzPT/rl3zR5n59o/GbTP5cluPCoyjqLVBq/6RQxfps2drv/piLGb9P6Xie/IsavlE81mFvqmuXrWLV2A3NnT/R987B44Szmzp5g1doNXLN8XQktLJfySSdtPsPyb5I88ml7/1Q+o8sjn7aM37zyaXv/VD7D5ZlPG8Zvnvm0vX8qn3h559O9/ybKe37r3n8bafzGK2r8NlUR41fKpxrMDTJqbaVxvrZcpa84F1UHN+98yvjaWll1vZLmU5U+15FnfuPWlKvb+C26BnPd8hmmzJp8dR+/VawpV6f+WXZNw6rnEyfvee/8Qxbkdn5ShUyL6Ht559PG+tVNGL9F3bOkieO3yPO9IsZvW96rddR5/FbtmFG38Vt036tbPnFUg3l6DeZmfrzZUqN8EjTu4OyumdOGTyrzzqez/7ZImk/VDh55yjMfjd94Sfpnm2j8xss7H43feG3Lp1ue5ycav/0l7Z9tofE7mrzfX2j89pekf7aJxm+8otYHNH77a1s+dacF5gbpDNLjK3MssAAAIABJREFUvnvno/VogEcfdwbnhMGFy1ZPe37Q4wuXrWbCBu+/CfLMp1/+TZN1PsPyb5I88onLv2nynt969980ecxvcfk3TZHjt4mKGr9NpfGbThHjt2mKfH/RxL6X9/uLJva5jiLeXzSxz3VofSC5otYHNH41fptAC8wN0vkkaNmKB6c9t2zFg49+8rPbgplj73u3BTNj9193eeeTdv91p3zi5Z1P9/6bqMjx20Yav/GKGr9NVcT4bTON33jKJx29v8iX+mc85TM6rQ8kp/WBfCifZlIN5gYZVB8oy68VNLU+0Lh1cAfJO/+kyq7r1VHVfIYps/531uO3yuM2aS3SPOe3svtnVcYuVDOfOFWoKVflfIapWk3DYeLyr3Id3Cxqz4+iTv2zKvW/q5pPnCJqzxf1/qLq5yxJJBm7UI/+Wea8V4d8him6/ndT1geguuO2o+r9s+z8qp5PHNVgVg3mxuutaZP14Ozef5PkkU8e+ded8olXxPhtmrzmN/XP6ZRPPOUznjzPT3rzF/XPYZTPaIp4f9G9fwnUP+Mpn+GKWh9oYjm+tNQ/4ymfZtms7AZIdjp1Z87Yf3tO228eRy1dCcB5B89n8cJZmzzf+/pxHzftDVse+QzLv2myzmfY46Ypcvw2SefkQ+M3nSLGb9Oy6/6bihi/TcvvqKUrczs/6c2/afKe39o83+UxfpukiPcX3ftvIo3fdDR+k+ks4hUxfpcds6iIP6kwg873xn08av5N63uj5qf1gWbQFcwiIiIiIiIiIiIikohqMDdIp75N79dCs/6KQR1qGo6ru6ZcWnnnn0TZtZW6VTGfYYqqwQz1zCdO3jX5sqqf3lG1/Ks0dqF6+cQpu44rVDufYYqo5ZrX+UnZ+VexBjNUJ59hypr36pJPnKLquEJ+7y+699+k9xqQrpZr1ftn2fNe1fMZpshjLuQ7fqt8zE0ibQ1mqHb/rEJ+Vc4njmowqwZz4/VO7lnXRGpqTcM88skj/7pTPvGKGL9Nk9f8pv45nfKJp3zGk+f5SW/+ov45jPIZTRHvL7r3L4H6ZzzlM1xR6wNVXxAsg/pnPOXTLJVaYDazHczsDDP7tZmtM7MVZvbvZvaXZbetDjqDc8LgwmWrH/39hctWM2EbF1GP++6dj9arAUZ+PGj/TZBnPv3yb5qs8xm2vybJI5+4/Jsm7/mtd/9Nk8f8Fre/pily/DZRUeO3qTR+0yli/DZNke8vmvZeA0Y7X+59nLR/Nk0R7y+anJ/WB5Iran2gyf1P47c9KrPAbGa7ATcAbwOeBDwIzAMOBL5vZu8qsXm10PnkZ7cFM6c9t9uCmY9+ErRsxYNj73vZigdj9193eeeTdv91p3zi5Z1P9/6bqMjx20Yav/GKGr9NVcT4bTON33jKJx29v8iX+mc85TM6rQ8kp/WBfCifZqpEDWYzmw3cBDwe+Dnwenf/lZltA7wf+D/RS//K3S8Ztr+21mAepY5wkq+wVOVrL0XUwc07nybWr4b42kpJ8im7r/XKu/53nvmUnWmRNfmKGL9tqytX5/FbRHZ559OmmoZ1yydO2bVIO+o6fovqe0WM36aP246mjN8i6uDm+f6iLveMyGLeq1s+w9TlvVqabfJSxXtG1Kl/ln3PkqrnE0c1mKtbg/nNhMXlNcBB7v4rAHe/z91PBC6OXvfhktpXC6MMuHFr2lR5QOch73zaVlMuaT5NLUfQT575aPzGS9I/20TjN17e+Wj8xmtbPt3yPD/R+O0vaf9sC43f0eT9/kLjt78k/bNNNH7jFbU+oPHbX9vyqbvNym5A5LDo3y+6+/I+z38ceDmwh5k91d1vLq5p9dGpO3PG/tsPfXzafvM4aulK5s6e4PIjdu77+iUX/IFVazdw3sHzWbxw1rTnmybrfIY9bpos8xkl/6boHFw1ftPR+E2niPHbtOyOWroyt/mtX/5Ny6/7b8p7/DZNnvNbv/ybJu/zk+79N1He5ydNHr95n59o/GbXP5cds6i4P6pARYzfpo3dzt9U1PhtWt/r7hNaH2i+0q9gNrOtgT2jh98b8LKfAPdG/71P7o1qgcULZzF39gSr1m7o+0nQNcvXsWrtBubOnmjFJ5O9lE86afMZln+T5JFP2/un8hldHvm0ZfzmlU/b+6fyGS7PfNowfvPMp+39U/nEyzuf7v03Ud7zW/f+20jjN15R47epihi/Ur7SazCb2V7AT6OHT3X3Wwa87qfAXsCZ7n5s3D7bWoN51Jp83fp9RaGqX3spogZzrzrlE6fImnJZ5jMo/ybVNEwybjvq0D/LrEVah3yGyXvsbjd7Rm75lJ112fWrh6l6/yw7v6rnE6eIeS/vfJpc/3ucOriDVLV/lj1uO6qazzBl1v/OevxWedwmmfeS1MEdpIr9sypjF6qZT5wq3DOiyvkMU7V7lgwTl3/T7nNVZVWuwbxj13/fHvO6znM7xrxGxtRb06bOk2MelM9o8spnUP4SqH/GUz7D5ZmPaqbFU/+Mp3zi5Z1P9/6bJs/zE/XPQPnEK2L8Nk0R7y/UPwPlE0/5jKeo9YE23eeqyqpwBfPrgIuih5u7+yMDXncR8DrgEnf/qz7PHw0cHT3cBeh7JbRkah7QvHcexVB26Si/5JRdOsovOWWXjvJLTtmlo/ySU3bpKL/klF06yi85ZZeO8ktO2RXn8e4+rfh1FW7yZ1nsxN3PAc7JYl8yGjO7tt9l8TKcsktH+SWn7NJRfskpu3SUX3LKLh3ll5yyS0f5Jafs0lF+ySm7dJRfcsqufFUokbGm679nx7xuyz6vFxEREREREREREZGSVGGBubvu8k4xr+s8d0eObRERERERERERERGREVVhgflmoFMI+un9XmBmE4S6ygA3FtEoGYlKkiSn7NJRfskpu3SUX3LKLh3ll5yyS0f5Jafs0lF+ySm7dJRfcsouHeWXnLIrWek3+QMws6uBxcBZ7n5Mn+efB/w4evhUd9cN/ERERERERERERERKVoUrmAG+GP17mJnt2Of5E6N/r9PisoiIiIiIiIiIiEg1VGWB+Wzgd8DWwH+Y2a4AZra1mX0MODR63XtKap+IiIiIiIiIiIiI9KhEiQwAM9sduBSYG/3qPmAOYRHcgfe4+0dKap6IiIiIiIiIiIiI9KjMAjOAme0AvBs4EFhIWGS+GviUu19aZttEREREREREREREZFOVWmAWERERERERERERkfqoSg1mEREREREREREREamZzcpugEjbmNkMQq3x2cAqd19TcpNEZAiNWymamc0F9gJ2BOYR9T3gLuBm4Jeur6ENpPykLOp76ZjZ0+if3S3ufk+ZbasD5Sdl0LyXjsZtOsqvOlQiQ0ZiZhPAM4HnMPjAcaW731VaIysquoHlfsALCfnN63nJQ8AtwA+jn2+7+/2FNrKizGwesISN2XX63hbAn9jY934I/NDdry6pqZWk/JLTuE1Px43xmdluwJGEvvfUIS9fDfwY+DLwNXdfm3PzKk/5paNjRnLqe8lF/e4wQnbPB7YZ8FIHbiL0v6+4+xXFtLDalF86mveS07yXnMZtOsqvurTALANFiwMHEg4c+wBzel9CGLTdbiEcOC5w99/n3siKMrM5wN8CRwG7d349ZLNOlvcDXwHOdfef5tPC6jIzAw4gZPcyNn7TIi6/Tna/A84j9L/luTWywpRfchq36em4kYyZvRY4Adij86vo3/sIC/L3AOuAx0Y/2wMzotc4sAa4CPiwu/9vQc2uDOWXnI4Z6ajvJWdmzwfeDhwEbM6mfW49cC8bs5vds7kDvwE+B5zZxg94lV9ymvfS0byXnMZtOsqv+rTALNOY2WzgeOAfgAVsHLidK/buYvqB4wnADtHrPPq5BPiAu19TVNvLZmZbAMcC7wa2I2S3CvgpcC3wSwbntzj6+Qs2LsL8J/Bud19W5N9RFjM7FDgF2IWQwQbCVQOjZLcnsC0ht0eAc4GT3f2Phf4RJVJ+yWjcpqfjRjJmtj9wKrAbIbPlwNeBHwHXuvttA7abTXhjt5iwoP9iwpu3dcA/A6e6+6q821825ZeOjhnJqe8lZ2ZPBz5MWNgzwt/+PaLsCF+lv6dnmy3Y9Jh7APBnhP53J/Ah4Cx3f7iYv6I8yi8dzXvJad5LTuM2HeVXI+6uH/08+gMcA9xOONhuIAza44BnA5sP2XYh8HLCwfauaPv1wL8BTy77bysov9+x8dOz84GXABNj7mMhcCJwXZThI8BRZf9tBWT3kyi7R4DLgDcB2425j72BzwJ3RNmtAV5Z9t+m/Kr9o3GbOj8dN5JntwF4GPgC8CKiD/4T7Gd7wuL+rVF+7y/7b1N+1f7RMSN1fup7ybN7JMrvCuANwNYJ97Mn8AnCYuB64L1l/23Kr9o/mvdS56d5L3l2GrfKrxU/uoJZNmFmGwj1pj5L+Kp3oq8rm9lmwP6EBZcXAv/k7h/MrKEVZWargDOAM9z93gz2twR4L3CFu5+cdn9VZmYPEr4udaq735pyXzMIB593Al9sSd9Tfglp3Kaj40ZyZnYO4Suiv81ofxPA6wB394uy2GeVKb/kdMxIR30vOTO7BDjF3X+Q0f62Ad4G3OPuZ2axzypTfslp3ktH815yGrfpKL/60AKzbMLM3gN8xt1XZ7jPvYFt3f3bWe2zqsxsK8+hnk9e+60SM1uUdGEqZp8G7OQtqJGm/JLTuE1Hxw2R+tExQ0TaRvOeiEi+tMAsIiIiIiIiIiIiIolMlN0AEREREREREREREamnzcpugEhbmNl2wI7AnOhXa4A73P3u8lpVH2a2FV3ZtaH0QJaUn0g9mNkc4AXArvQ5ZgA3Ale6+5pyWlhtyk/Kor6Xjpk9lZjs3P3mstpWB8pPyqB5Lx2N23SUX/WoRIZIjszsZcBhwD6EO+b2cydwKXCRu3+nqLZVnZk9g3Djh32Ap7HxoNGxBriJkN2X3P2GYltYbcovOTN7HOEuwzOAG9z9lhG2OQGY04abvIzCzJ5C6Htxbzgudff/KaeF1WNmTwM+CBwIbDHk5Q8BSwk3Qrwp77bVgfJLx8xmEo4VM4D/HqWmupm9Cpjt7l/Iu31Vpr6XnJnNBd4FvJZwrIhzB+EGbR9z91V5t60OlF86mveS07yXnMZtOsqv2rTALANFC1Rvp2uhBTjf3b8/ZLs7gO3dvbVXyJvZDsBXgb07vxqySWcgXgm82t3/mFfbqs7MtgTOJhw0jNGyc+CLwDFtvzJX+SUXXYVxLvCqnqeuAo5z9+titr0DmO/uM3JsYuWZ2b7Ah4E9un/d87LuE49rgfe4+6V5t63KzOwwQt/bgo15rQRuBx6IHm8J7ATM79r0QeDv3P1LBTW1kpRfcmY2A/gQ8PeEjAAeBv4NeHfcDbF0vqe+l4aZTRL62bZsepz4E5tmt23Xcw7cA7zS3a8ooJmVpfyS07yXjua95DRu01F+1acFZunLzF4DfJ5QRqUzeDud5VvAGweVdmj7Qku0SPUL4InRr/4L+B7hir1+B95dgf2AfQl10W8FntXGhT4z2xz4IbCY0O/+G7iE+OxeAuxC6J9XAy9090eKbXk1KL/koruATxG+5tdvUf5h4F3u/qkB27d63gMws3cCp7Ixv3uBW+jf93YBHhP9zgnZfry41laHme0B/IRwvL0O+CRwyaArLaIrN/YDjieM9YeB57r7z4tpcbUov3TM7KvAK+n/QdB9hPO9fxuwbavnPfW95MzsyYRz5a2A/wXOIjpXdvd1Pa+dxcZz5bcAiwjfhnmmu/+myHZXhfJLR/Necpr3ktO4TUf51YS760c/m/wATyYsBmwA/gicD3ycsPi0AVgP/Br4swHb3wGsL/vvKDG/k6OcfkOYxEbdbvdom/XASWX/HSVld2KU3Z3AwWNsd1C0zXrg/5T9dyi/+v0Afxtl9xDwfsKJyFbAywhX2Xbmvk8O2L7t894+UT4bgG8AzyP6EHvA6w14LuEqhA3AI8Bk2X9HSdl9KcrgC8DEGNtZtM0G4Itl/x3Kr34/wCFdc9v5wIuApxOu6vt919h824Dt2z7vqe8lz+5z0d//n8BWY2y3JWFBYQNwTtl/h/Kr34/mvdT5ad5Lnp3GrfJr/I+uYJZpzOwzhIPsz4G/cve7up47hPD1+/nACmA/d7++Z/u2f7J7I+HqvL3d/Sdjbvs84EfATe7+9DzaV2Vm9jPCQvtBPmY9ajM7APgP4Ofuvmce7as65ZecmV0C/CXhw50P9jxnwCmEel8Q3pAc7V0HUM17tpSwGP8Jd//HMbf9GOHDkX9390PyaF+VmdlyYAGwQ/fxdsRt5xGOxX9094V5tK/qlF9yZvYtQv3MM939bT3PbUU433sd4aq+D7j7KT2vafu8p76XkJn9DtgZeIK7/++Y2y4CbgN+7+5PyL511af8ktO8l47mveQ0btNRfvWgBWaZpmuB9AXuflWf5xcCFxNqM98NHODuV3c93/YD7/3AI+7+mKEv7r/9fcAMd98q25ZVX/S3T7h77w3pRt1+DbDB3bfJtmX1oPySM7MVwDxgrrv/acBrXgtcQPha4FeA17v7+ui5ts97fwTmAo/1Me8UHpUV+hNwl7vvkEf7qszM1gEPuPt2Cbe/B5jl7rOzbVk9KL/kzOx2wkLBQh9w7wczexeh9I0Dp7n7O7uea/u8p76XkJmtBdYqu2SUX3Ka99LRvJecxm06yq8eJspugFTSIsLXxPtefevuy4FJ4HJgO+D7ZvaiwlpXfWuBWVE93LGY2RbAzGgfbbQemBFdMToWM5sg3Ixyfeatqg/ll9xjgXsHLS4DeLgpyaGEm5S8Gvh6knHeUI8B1oy7uAwQbbMGaN0HG5EVwGPMbOdxNzSzxxGyX5l5q+pD+SU3F1g9aJEFwN0/AhxDWGg50cw+W1TjakB9L7m7gW2i+qxjibbZJtpHWym/5DTvpaN5LzmN23SUXw1ogVn6mQE81P31714ebkB3APAdYGvgO2b2koLaV3XLCFc4Hptg22OBzQkF7NvoJsIdiQ9LsO3rCIvzN2baonpRfsmtBuZEC+0Dufu3CTWr1wIHA0ujG0m03XLCSd9Tx93QzJ5GOOlbnnmr6uG/CLUJP2dmWw57cYeZzSbUo3Pg+zm1rQ6UX3JrgaHzl7ufDRxJqF94jJmdl3fDakJ9L7kfErL7ZIIPxT8Z/fuDbJtUK8ovOc176WjeS07jNh3lVwdlF4HWT/V+gFsJVzHOH+G1m7PxJk0PEBZe2n7zg1dFeTxMuDnijiNsswPwsWib9cBfl/13lJTd0VF29xPqgG8xwjZbAG8lXAG5HnhT2X+H8qvfD/Dj6O/fa8TXv4BQ1mE94dscq1o+750R9b1rCHX5Rt1uAeEmiuuBT5X9d5SU3Z91jb/bgH8Entlv/Ebj9ZnAO4DfRtusBp5c9t+h/Or3E43X9cBuI77+VYRvcKwHLiJchdbmeU99L3l2exK+Lbme8I3JvyGUWBr0+sdG/e+qaJsHgT3K/juUX/1+NO+lzk/zXvLsNG6VX+N/VINZpjGzrwKvBN7g7heN8PoZhLvCvpawQAqwmbe0NhWAmZ0DvJHwKa0DNwC/Am4nfHLuhDua7kS4c/HTCd8oMMLdTd9SQrMrwcy+DexPyOhewieNcdm9ENiWkN233f2gEppdGcovmehGc/8H+KS7v2PEbfYCvsvG/Lyt856ZLSD0s8cS3nhcBFzCpn0PYDYb+95LCFfbbwPcBTzD3Vv5tcnoG0BfI2TRfWJ2N5uO2+66cwbcR/hA8r8KamolKb9kzOzThA8jP+juJ424zUHAVwkLB62e90B9Lw0z+1vgHMLFKp3s/kj/85VOfX4jvNd4k7t/odAGV4zyS0bzXnqa95LTuE1H+VWfFphlGjM7GjgLmHL3fUbcxghfe/m76FetPvACmNkxwAeA+dGvBg22zlc8VgL/5O5n5d22KjOzzYAPAW8jlGyA4dk9SLiC8v+6+yP5trDalF8yZvZC4ArClchP9BFrCZvZ7sD3COO81fOeme0GLCXU8R/15MKA3wGHuPuyvNpWB9Ei/bsJ9b0XDHn5CuDLwEfcfUXebasD5Tc+M3spodTZcuBJ7v7wkE062+0LfBPYipbPe6C+l4aZ/QVwMuGD8WH3NHiY0F8/0PbjRYfyG5/mvWxo3ktO4zYd5VdtWmCWacxsHqHMxQTwYne/coxtPwUchw68wKM37dsXWALsCuxIODExwlV+txNq3l4OXOruD5XU1MqJTlxeyfTsIJSA6M7uGzph2ZTyG5+ZvYdwovINd79+jO2eArwTmHD3I/NqXx1E9ajfQqjpvScbP8To5YTSGF8Eznb3dcW0sPqiD2x3Jf6YcZPrBK4v5Te66BtoZxHuG3Gmu187xrZ7E97gmbsvyamJtaK+l5yZPYZQeiouuyvd/b7SGllhym90mveypXkvOY3bdJRfNWmBWTIX3SF2wt1/V3ZbRESkHGY2B3ga/U/6bh71KnERERERERGpNi0wi4iIiIiIiIiIiEgim5XdABERERGRvJnZ5oSake7uJ5fdHhGRvEUlIQ4D0A2uRKQNNO+VR1cwi1RIdIO25wO4+w9Kbo40mJltBawGNri7PmxMwcxeFP3nje5+V6mNkVqLSkztCcwAbnD3W0bY5gRgjrt/MO/21V3XvKf7RKRkZoui/7xj1JtkyUZRX/wMoS8eVXZ7ymRmMwnllGYA/+3uq0fY5lXAbC0cDKfzvexo3ktH895GmvfypXmvPFpglkyZ2WXRf14NfMLd7yyzPXVjZnOBO2n5ZGhmzwDeTtdCC3C+u39/yHZ3ANu3ObtRaaElO2a2gXDTugeA/wecprlvdGa2DXAxoS/+ZdntKUNUr/pc4FU9T10FHOfu18VsewcwX+N4OM172TGz9dF/Lgc+DJynGxWPrut8r7V9MbrC7EPA3wNbRr9+GPg34N3u/vuYbXW+NyLNe9nRvJeO5j3Ne0XRvFceLTBLproWWgDWsnGxZWV5raoPHXjBzF4DfJ5QwseiX3f61LeAN7r73QO2bfVCi5m9f4yXbwG8h5DtSd1P6ErI8UTzXrcHgLPc/cQy2lM3bZ/3ojuwTxHuhG19XvIw8C53/9SA7ds+760f/qqhXG/YxtMz7znh5p0fdffPltSkWmn7vAdgZl8FXsn0ec+B+wjne/82YNu2z3u/GeflwOMJuXbfgN3d/cmZNqzhNO+lo3lP814amvfqQQvMkikzmyIM5B2Bp0S/fsDd55TWqBpp+4HXzJ4MXA/MAlYC3wFWAS8Gnk3oW7cBf+Xut/bZvu0H3u4PeEbaJPp3k23aml9SZvbi6D93JPTVSeApynE0mvfsb4F/AR4BTgEuIMx7k4QPf/YgjNEz3P2EPttr3kuvlX0vjajfwsZ57/mEUi3KcQSa9+wQ4JuEue3zbDrvvRPYGdgAnODun+6zvea9kF2/DyVH1cq+l4bmvXQ072neS0PzXj3oag3JlLtPdv7bzBYQJswXltWeMpjZfik23yazhtTT8YTF5Z8TFpEfrWcbHZTPBp4I/NDM9nP368tpZuWtBNYNeY0BiwgH6oFfx5Lh3P2KrodfBjCzeSU1R+rnMMI4PKXn2wPfNrPvEBad3wUcZ2ZbA0e7rg7o5cBPgXOI/5BtJnBW9Jq/K6BdjeXun+96+BEzmyB8GNIaZvbFFJtvkVlD6unvCOPwTHd/W9fvf2VmFxDO914HfMrMtnH3U0poYx38BPjekNdsQXRzU0DfUEtB857mvZQ072VD816F6QpmkYwluIp02i5o6adrZnYjsAvwAne/qs/zCwm1WvcE7gYOcPeru55v+ye71xJOdG8D3ubu/xHz2jmEr2K1sq9Jtszsxyk234zoGwpt7ItmtgKYB8x19z8NeM1rCVe6bAZ8BXi9u6+Pnmv7vHcI8GnClT/XAm8dVLNaNfkkS7qaKjkzux1YACx09z8OeM27gFMJGZ/m7u/seq7t897xhEWTrYBvAG939z8MeK3mPcmM5r3kNO+lo3mvHrTALJIxHXiTM7M1hJv6bTnoCr3ogLEUWEI4cBzk7j+Inmv7gXcCeBsbD77/TlhonnaFsg68kiXNe8mZ2UPAGnffbsjrXgZ8jXAV7lLgb9z94bbPe/DofHYKcGz0q7OB97r7vX1ep3lPMmFmDwMTwCVA38WCGDOB19DSvmhmDwJr3X3bIa97M3Am4djyz+5+bPR7zXvhoovPAocAawjnfp/qfPjY9TrNe5IZzXvJad5LT/Ne9WmBWSRjZrYc2AH4a3f/5pjbziOUN2jlZGhma4GH3P0xQ143k3C33QMIN1R7hbt/XwfeoOfg+wDhbsUfd/dHul6jA+8QZrYl8FRCrb1OHfk1wB3ATe6+tqy2VY2ZrQM2By4ExrkJB4S7aL+DlvZFM1sFbA3McvfYesJm9peEm53OJry5ewXwWzTvAWBmexAWl/cEVgD/6O7/2vW85r0RmNl29Jn3fMANdtvKzH4JPAN4s7ufO+a2ba9F+ifCnDdrhNe+HjifsKh1gbsfpfO9jczsYMI530LgRuDvOxdeRM9r3huB5r3RaN5LTvNedjTvVZcWmCVz0eLWjH5XTbaBmV0MHAR82N3/75jbtv3AeyuhxvKO7r5yyGs3J9S7fQWh3vCrCfU3deCN9Bx8bwGOdffLoud04O0j6ldHE+ri7sXgK3I7NV8vBM5194eLaWE1mdnVhEW9t7n7mWNu2/Z578fAc4DndZf8iXn9C4D/ICxK/wDYDdi2jdn1Y2YG/ANwMmGh4ErgGHe/UfPeYNEV8ocB+wDbD3jZncClwEXu/p2i2lZVZnYucCThGPDmMbdt+7x3DaGk17PcfdkIr38V4Xi7GeHc7yWEskKty66faG47mTD3TRCyeoe7r9S8N5jmvfFp3ktO8162NO9V00TZDZDqMrOXmtmlZvYnM1ttZleZ2Zuir+HHuZbxr2BrkmsIi1J7ld0AAZ1eAAAafElEQVSQGvpZ9O9Lhr0wWtD7G+BLhBsDfh2I/Yp527j7UsIVuGcAfw5838y+aGY7lNuyajKzXQmfgn8aeC7hGGkDfiaA5xEW8H9lZk8ro80V0pn3nl12Q2royujfV43yYne/EtgP+BPwIuCxObWrljz4NPA0wtXeLwR+bmYfY+OVaRIxsx3M7AeEsiuvBuYzeN6bT/h687+b2RU6lmjeS6Fzn41XjPJid/8a8NfAQ4Q+qBvpdnH3+939BMJ7j+uA1wM3m9lb0fv9aTTvpaJ5LznNexnSvFdNuoJZ+jKzE4CPdx52PeWEAfwad++7iNz2r2+Y2X7AfwL3uPvcMbfdFvgFsMHdn5RH+6rMzI4GzgKm3H2fEbcx4HOEO/OCPqnsy8yeRfjq+LMJN/f7GKFmqfICzGw+cD3hCpY1hA8uvkdYcL6dUGrECbWtdwJ2JSzyvZZwJelK4C/c/c7CG18BZnYkcB5wo7s/Y8xt235FywuBK4BVwBPdfc2I2+1O6KPzaWl2ozCzAwm1DHcmjNMFKC+Azs1ef0H45hDAfzF93oNQxqZ73tuX8ObtVsKVWPcX2OzKMLO/AP4VeBB4ro/xpsrMZgP/CODuJ+XTwuoys5cC3wGWA08a9VtAZrYv8E3CsVjjuI/ovPhYwpV9WwO/IpQ0UF5o3ktL815ymvfyo3mvOrTALNOY2TMJn07OAG4i3LF+FfBiwiduM4C7CTdXu6rP9m1fYN6CcOUU7v7LkptTK1EN6jsIJ3Avjq7UG3XbTwHHoQPJQH0OvobyAsDMTifcIPHnwMHuvnzE7XYi3EzxmcAZ0SfprWNmfwacBjwCvGrMNxxbEBbqcffP59PCajOz9xBqWH/D3a8fY7unAO8EJtz9yLzaV3dRPfWTCWN8Bpr3ADCzk4H3ArcBh7r7L0bcbnfCm93HA6e4+wdya6Q0kpnNIFxQsBlwprtfO8a2exPGs7n7kpyaWHtmtiPhW1adqyU176F5T8qjeS9/mvfKpwVmmcbMzgeOAC4DDnT3dV3P7QFcBOwC3A+83N0v7dm+1QvMUh4zexxhoeV3ZbelyqKD70eARQA6Udmk/vcz3P2mMbfdFbgB+LW7/3ke7ROR9MzsyYQrmXH3K0puTunM7EbC+dze7v6TMbd9HvAjwg1Pn55H+0QkPTN7MfAEaO+HuN0074k0n+a98miBWabpWmjZ3d1v6PP8HMLXx19G+HrMq6Nar53ntcAsIrViZmuBde6eqJ5tdGfoLdx9y2xbJiKSDzO7H3jE3R+TcPv7CDd13irblomI5EPznohIflT8WvrZCVjbb3EZIKoP+XLgi8BM4Gtm9uoC2ycikrX7gDnRXYfHEn3o1rlbsYhIXawFZpnZ5uNuGJW2mRntQ0SkLjTviYjkRAvM0o9HP4Nf4L6ecKfOzxHqRl5oZkfk3zQRkVxcTTgmvj/Btu8j1HX9aaYtEhnCzF4U/ejO4gkoP5YRakEem2DbYwnnfyPVL5VNmdmi6GfsRa62U3bpKD/Ne2VR30tO2aWj/IqjBWbp5/fAllE924E8eDPwGcLiyrlmdkwRDWwqM7ss+vmImW1fdnvqRNmlo/w4g3DTwxPN7Otm9pxhG5jZYjP7KnAi4UO503NuYyNpkS+VKeBy4Ldm9tGWjt00pmh3fv9MmPc+ZmYfj+rzxzKzHczsY8BHCfPeWTm3sal+G/382syOia6MlNEou3Tanp/mvfK0ve+loezSUX4FUQ1mmcbMvgAcBrzV3c8ecZsPE+5k37n62VSDeXxmtoGNV4+vBf4fcJq7ryyvVfWg7NJRfmBm7yXcobmTw73ATcDthEwc2JJQRuhpQKd+nwHvc/cPFdrghujqew+wsd/dWW6r6iHKrtsDwFnufmIZ7akb5Qdmdg7wRjaev90A/Ir+897To58Jwrx3jru/pYRm115P33NC3h9198+W1KTaUHbpKD/Ne2VR30tO2aWj/IqjBWaZxswOB74AXOfui8fY7n3ASUSLM1pgHp+ZTRHy2xF4SvTrB9x9TmmNqglll47yC8zsAOBUYLeepzoHS+v5/S+B97j7d/NuW1NpkS+56C7ZEMbti4FJ4Ck6/o5G+QXRt88+AMyPfjXozUFn/lsJ/JO76yq+hMzsb6P/7PS95wNz2tb3klB26Si/QPNe8dT3klN26Si/4miBWaYxs62BnxHqUx3u7j8aY9vjgU8SKmhowKZgZgsIb3Zf6O5J6oS1lrJLR/mBme0KLAF2JZyMbEV4k7GG8Kn3jcDl7n5TaY1sCC3yZcvM5rn7XWW3o67aml/0ddF9GWHeAy5194dKamojmdkEsIe7X1t2W+pG2aXT5vw075WrzX0vLWWXjvLLjxaYRUREpFLausgnIiIiIiJSR1pgFhEREREREREREZFENiu7ASIiIiKykZltCTyV8HXdTh30NcAdwE3uvrasttWB8pMymdl29Ol77n53ea2qB2WXjvLLnpktAnD335fdlipT30tO2aWj/KpFVzDLJszsSe7+m4z3OQHsrAPzaMxsITBDeY1P2aWj/JKJavi9BsDdv1BycypDi3zjMbPNgaOBw4C9mH5DyQ4HfgpcCJzr7g8X08JqU37F0zFjIzN7GaHv7QNsP+BldwKXAhe5+3eKalvVKbt0lF9+zGwrYDWwwd11YV4P9b3klF06yq+6tMAsmzCzh4AvAae6+y0p97U5cCTwTuDz7v7BDJpYG2b2UuAdwJ7ADOAG4HzgPHffELPdHcD2bT6RUXbpKL9imdlcwklM69+AaJEvmeimkt8CnsTgzHo58GvgkLbfbFL5paNjRnJmtgPwVWDvzq+GbNJ543Ul8Gp3/2Nebas6ZZeO8stf1wKzbl7fRX0vOWWXjvKrPi0wyybM7Erg+cAG4IfAl4Gvu/uqEbc3YJJwNd+hwHbA/cDr3f1bebS5iszsBODjnYddTzlwHfCaQVeKR2/Y5rf1REbZpaP8ite1wNzqNyBa5EvGzOYD1xOuwFhD+JD3e4Q7198OPEDIaStgJ8Kd7vcDXgtsDawE/sLd7yy88RWg/NLRMSM5M5sD/AJ4YvSr/2J63wPYkk373r7ABHAr8Cx3v7/AZleCsktH+SVnZueP8fLNgMMJ8+Hnu37v7n5Upg2rCfW95JRdOsqvHrTALNOY2cHAqYRB6dHP/xDeaCwD7gLuAR4CtgUeSxjozwaeRXgTZ8DDwNnAyW1642ZmzwSuIVwFdBPwFWAV8GLgFdHv7wYOcver+mzf2jdsyi4d5VcOLTBrkS8NMzsdeBvwc+Bgd18+4nY7Af8OPBM4w91PyK+V1aX8ktMxIx0zOxl4L3AbcKi7/2LE7XYHvgk8HjjF3T+QWyMrStmlo/ySM7MNbLyqcaRNon+963Gbz/fU9xJSdukov3rQArP0FV2J/FLgjcCBwObRU3EdpnMA/g3hq5X/4u535NbIioo+GT8CuAw40N3XdT23B3ARsAvhyu6Xu/ulPdu39g2bsktH+SVnZken2Hwr4BO0+w2HFvkSMrNbCR/SPmPcq7ijq8ZvAH7t7n+eR/uqTvklp2NGOmZ2IyGfvd39J2Nu+zzgR4R69E/Po31VpuzSUX7JdS0w30z4cDvODOAF0et/0P2Euy/JpYEVp76XnLJLR/nVgxaYZajozpxLCLVu9iLcsGkeMJNwZctdwC2EQXulu19bUlMroevN7u7ufkOf5+cQru57GfAgoR7Q0q7nW/uGTdmlo/ySS3BFy7Rd0O4FZi3yJWRma4F17v7YhNv/CdjC3bfMtmX1oPyS0zEjHTO7H3jE3R+TcPv7CDdJ3CrbllWfsktH+SVnZhcDBwP3Au8DzvQBCyLRHHgfLT6/66W+l5yyS0f51YMWmEUyZmYPEG72NSfmNTMItbxeRygl8gZ3/0r0XGvfsCm7dJRfcl0LzCsICynjmAAeR4vfgGiRLzkzW0G4X8G249aFi9783gPc7e4L8mhf1Sm/5HTMSMfM7iKU+JnjY96o1My2INw8bLW7z8ujfVWm7NJRfumY2SHAp4GdCd+8equ7X93ndbrJXw/1veSUXTrKrx4mym6ASAN16lYPfoH7euD1wOcI5UcuNLMj8m9a5Sm7dJRfcrdF/77d3Z84zg+wZ4ntror7gDnRm7GxRIt8nTdxbXQ14Xzs/Qm2fR/hK7w/zbRF9aL8ktMxI51lhJuAHZtg22MJeY5UQ7KBlF06yi8FDzee35WwyLw78GMzO9vMEn1I3jLqe8kpu3SUXw1ogVkke78HtjSzx8W9yIM3A58hvME918yOKaKBFabs0lF+yV0T/bs4wbb6KpAW+dI4g1Bi5UQz+7qZPWfYBma22My+CpxI6H+n59zGKlN+yemYkc4/E/rex8zs42a247ANzGwHM/sY8FFC3zsr5zZWlbJLR/ml5O73u/vbgecQrmJ+E3CLmR1ZbssqT30vOWWXjvKrAZXIEMmYmX0BOIzwdauzR9zmw8A72Xg1kbXxq1jKLh3ll5yZvYNw8nHFuDduMbO5wJ20+CuUZrYvcAmhD30T+Li7xy4Ym9li4B3AK6NfvcTdL8u1oRVlZu8FTmbjhxX3AjcBtwNro99vCewEPA3o1J8z4H3u/qFCG1wxyi8ZHTPSM7NzCDfE7uRxA/Ar+ve9p0c/E4S+d467v6WEZleCsktH+WXHzAz4B8JxZA5wFfBW4NeoRMY06nvJKbt0lF/1aYFZJGNmdjjwBeA6dx/5akgzex9wEtEb5DaeyCi7dJRfcmY2CVwGrHH3bcbcdhtgKeENSCvvKg5a5EvLzA4ATgV263mqk6f1/P6XwHvc/bt5t60OlN/4dMzIRnQ19weA+dGvBr256vTBlcA/uXvrr6RSdukov2yZ2U6Eb2q8AngEOB84Gi0wT6O+l5yyS0f5VZsWmEUyZmZbAz8j1Ag63N1/NMa2xwOfpKUnMsouHeWXXHT1yjYA7n5vyc2pLS3ypWdmuwJLCPUhdyTUpzZgDWGx/kbgcne/qbRGVpjyG52OGdmJbiC0LyP0PeBSd3+opKZWjrJLR/llz8wOBM4k3MAZNM/1pb6XnLJLR/lVlxaYRUREJFNa5BMREZG6MrMtCeWAFgG4u2ozi4gMoQVmEREREREREREREUlkouwGiIiIiIiIiIhIc5jZIjNbVHY76kjZpaP8yqEFZpEMmdmTctjnRBsmR2WXjvJLTtlJXZnZFmb2BjN7Q9ltqaM256d5r3xmtlB5JaPs0mlrfpr3imVmWwG3Ab8puSm1o+zSUX7l0QKzSLZuNrPPm9kuaXdkZpub2dHA/wBHpG5Z9Sm7dJRfcsquRG1e5MvA1sAFhDvdy/janJ/mvYyY2UvN7FIz+5OZrTazq8zsTWY27H3WtbT8za+yS0f5jU3zXjl6b/Aso1N26Si/gqkGs0iGzOxK4PnABuCHwJeBr7v7qhG3N2ASeA1wKLAdcD/wenf/Vh5trgpll47yS07ZlcvM5gJ3AhvcfbOy21MnXdnpDvcJtDk/zXvZMLMTgI93HnY95cB1wGvcve9CnpndAcxvW9/rUHbpKL/xad5Lz8zG+UB2M+BwQp/8fNfv3d2PyrRhNaDs0lF+9aAFZpGMmdnBwKnAroRJzQmfbl8HLAPuAu4BHgK2BR4LPBF4NvAsYCvCieLDwNnAye5+Z7F/RTmUXTrKLzllV542L/KlpezSaXt+mvfSMbNnAtcAM4CbgK8Aq4AXA6+Ifn83cJC7X9Vn+1Yu8oGyS0v5Jad5Lx0z20DIbORNon+963Fbj7nKLgXlVw9aYBbJQfQJ90uBNwIHAptHT8UNuM4k+BvC13X/xd3vyK2RFaXs0lF+ySm7cmiRz45OsflWwCdoaXag/NLSvJdcdDXVEcBlwIHuvq7ruT2Ai4BdCFc4vtzdL+3Zvs2LfMouBeWXjua95LoW+W4GVg55+QzgBdHrf9D9hLsvyaWBFabs0lF+9aAFZpGcmdl2wBJgb2AvYEdgHjCTcHXBXcAtwI+AK9392pKaWjnKLh3ll5yyG48W+ZJLcEXGtF3Q0uxA+WVJ8954zOxWwpWNu7v7DX2enwN8CXgZ8CDwandf2vV8axf5lF06yi87mvfGY2YXAwcD9wLvA870AQtKUT+8Dx1jAWWXlvKrBy0wi4iISCpa5EuuK7sVhIWAcUwAj6Ol2YHyk/KY2QOE2vFzYl4zg1D/8XWEr9S/wd2/Ej3X2kU+ZZeO8pMymdkhwKeBnYGfA29196v7vG4rYDU6xj5K2aWj/KpPC8wiIiKSihb5kjOz3wCPB17XefM/xrbzCF8TbGV2oPykPGZ2P2GRb+shrzPgLOBNwHrgTe5+QZsX+ZRdOspPyhYt4J0CHEu4SOA84F3ufk/Pa7TI10PZpaP8qm2i7AaIiIhI7d0W/ft2d3/iOD/AniW2uwquif5dnGBbXSWg/KQ8vwe2NLPHxb3IgzcDnyHUhTzXzI4pooEVpuzSUX5SKne/393fDjyHcCXpm4BbzOzIcltWfcouHeVXbVpgFhERkbS0yJfctYQrMNq+0J6U8pOydOa9A0Z5sbsfB3yU8P7rs8D2ObWrDpRdOspPKsHdf0aoXX08oW71uWZ2pZntVm7Lqk/ZpaP8qkkLzCIiIpKWFvmS6ywUJMnuYcLdsX8w7IUNpvykLJcQ5r03jrqBu78b+EC0neXUrjpQdukoP6mM6Er5TwNPAy4Gnk84L/xEqQ2rAWWXjvKrHtVgFhERkVTMbBK4DFjj7tuMue02wFLCeeKSHJpXaVGNzG0A3P3ekptTO8pPymJmWwM/AzYDDnf3H42x7fHAJ2lpfUhll47ykyozswOBMwn31wD1tZEpu3SUX/m0wCwiIiKpaJFPRERERADMbEvgncAiAHdXfdwRKbt0lF+5tMAsIiIiIiIiIiIiIomoBrOIiIiIiIiIiIiIJKIFZhEREZESmNmTctjnhJktynq/VaT8pCzqe8kpu3SUn5RFfS85ZZeO8qsPLTCLiIhIYjrpS+VmM/u8me2SdkdmtrmZHQ38D3BE6pbVg/KTsqjvJafs0lF+Uhb1veSUXTrKrya0wCwiIiJp6KQvuauB1wO/MrPLzezNZjZ31I0tWGJmZwO3A/8MbA/8Mp/mVo7yk7Ko7yWn7NJRflIW9b3klF06yq8mdJM/ERERSczMrgSeD2wAfgh8Gfi6u68acXsDJoHXAIcC2wH3A69392/l0eYqMbODgVOBXQGPfv4HuA5YBtwF3AM8BGwLPBZ4IvBs4FnAVoABDwNnAye7+53F/hXlUX5SFvW95JRdOspPyqK+l5yyS0f51YMWmEVERCQVnfSlEy2yvxR4I3AgsHn0VNxJmkX//gY4H/gXd78jt0ZWmPKTsqjvJafs0lF+Uhb1veSUXTrKr/q0wCwiIiKp6aQvG2a2HbAE2BvYC9gRmAfMBO4mLNbfAvwIuNLdry2pqZWk/KQs6nvJKbt0lJ+URX0vOWWXjvKrJi0wi4iISKZ00iciIiIiItIeWmAWERERERERERERkUQmym6AiIiIiIiIiIiIiNSTFphFREREREREREREJBEtMIuIiIiIiIiIiIhIIlpgFhEREZHWMjOPfn5nZrMGvOa26DWbDdi287PezO4ys8vM7LAM2jbZte+vDnjNE6Lnr4zZz0vM7CIz+62ZPWBma83sVjP7VzPbP207RURERKTdNhv+EhERERGRxlsEHA98JMG2J0X/bg7sArwcWGJme7r7CRm171Vm9jx3v2rUDcxsa+ALUXvWAZcB3wAeBp4IHAAcbmafcPcTM2qniIiIiLSMuXvZbRARERERKYWZOXAP4ISLL57s7nf1vOY24PHA5u7+SM+2uLv1vP4vge9HD5/k7rclbNskcDlwK/BnwI/dfe+e1zwB+C3wI3d/QdfvJ4DvAH8V7eNwd7+9Z9uZwFuAp7j73ydpo4iIiIiISmSIiIiISNs9AJwMbAN8IO3O3P1S4GbAgMVp9wf8FPgW8Hwze+WI27yWsLh8K3BQ7+Jy1M4H3f0MIKurrEVERESkhbTALCIiIiICZwK/Bt5sZk/JYH+dq5qz+rrgPwKPAB8xs81HeP3R0b+nufv9cS909wfTNk5ERERE2ksLzCIiIiLSeu7+MPAuQh3lJHWYH2Vm+xJqMTtwTfrWgbv/N3A2oVTGMUP+/5sBz40eXprF/19ERERE5P+3d8egVpZhHMD/T8QVwiGMhmiQhiZpE11qqAaxpRoKGoR2KwQ1jCLLQUG6CQ0NTUVBiyANCkK2FOjW2FQktoWhuEhaj8P5QtF7rpdzvusNzu8HH997OM/3nv/88Jz3m8ZL/gAAIEl3n6yq80lerapnu/untTxXVR8Nyztf8ldJTnT3xREjfpxkT5IPq+qr7r46pW5LkqVh/ceIvw8AAPcwwQwAALftH+7LVVWrVt52eLjeS/JCkh+T7OnuUc827u4/M5mufizJ+6uUrjU3AADMTYMZAAAG3X0+yckkO5K8vsZnarge6u4t3f18d3+zThFPJLmU5J2q2jql5nKSv4f1k+uUAwAAkmgwAwDA3Q4luZHkWFUt3a/4Qeru60k+SLIpydEpNTeTXBg+vviAogEAsKA0mAEA4A7d/WuSz5M8leTtDY6zkq+T/JzkjSTbp9R8MdwPVNUjq21WVZtGzAYAwILRYAYAgHsdSXIlk7OON4+xYVV9WVVdVW/Os093d5IDmZy1fGxK2bdJziZ5Osl3VfXECnmWqmpvkuV58gAAsNge3ugAAADwf9Pdf1XV0STHR9z2v+GOm/Nu1N0/VNWZJC9N+f7fqnotk2nnl5P8VlXnkvyS5J8kWzM5PuPxJJ/MmwcAgMVlghkAAFb2WZLfR9zvmSTXkpweab+DmTSLV9Td17r7lSS7kpxKsi3JW0n2JdmZ5Psku7v74Eh5AABYQDX5hx0AALBequrRJJeTLHf3uxudBwAAxmKCGQAA1t9zSW4k+XSjgwAAwJhMMAMAAAAAMBMTzAAAAAAAzESDGQAAAACAmWgwAwAAAAAwEw1mAAAAAABmosEMAAAAAMBMNJgBAAAAAJiJBjMAAAAAADO5BRdFJpiT8gR0AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1440x864 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1440x864 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "for dist in [1,2]:\n",
    "    dist_index=dist-1\n",
    "    f=plt.figure(figsize=(20, 12))\n",
    "\n",
    "    x = np.arange(len(labelsP_J))\n",
    "    width = 0.35\n",
    "    sumaTC_TS_A = np.add(TC_A_data[dist_index], TS_A_data[dist_index]).tolist()\n",
    "\n",
    "    ax=f.add_subplot(111)\n",
    "\n",
    "    ax.bar(x+width/2, TC_data[dist_index], width, color='chocolate')\n",
    "    ax.bar(x+width/2, TS_data[dist_index], width, bottom=TC_data[dist_index], color='purple')\n",
    "\n",
    "    ax.bar(x-width/2, TC_A_data[dist_index], width, hatch=\"\\\\/...\", color='chocolate')\n",
    "    ax.bar(x-width/2, TS_A_data[dist_index], width, bottom=TC_A_data[dist_index], hatch=\"\\\\/...\", color='purple')\n",
    "    ax.bar(x-width/2, TA_A_data[dist_index], width, bottom=sumaTC_TS_A, hatch=\"\\\\/...\", color='red')\n",
    "\n",
    "    ax.set_ylabel(\"Time(s)\", fontsize=20)\n",
    "    ax.set_xlabel(\"NP, NC\", fontsize=20)\n",
    "    plt.xticks(x, labelsP_J, rotation=90)\n",
    "\n",
    "    labels = ['Spawn', 'Synchronous Comm', 'Asynchronous Comm']\n",
    "    brown_Spatch = mpatches.Patch(color='chocolate', label='Spawn')\n",
    "    purple_Spatch = mpatches.Patch(color='purple', label='Synchronous Comm')\n",
    "    brown_Apatch = mpatches.Patch(hatch='\\\\/...', facecolor='chocolate', label='Spawn')\n",
    "    red_Apatch = mpatches.Patch(hatch='\\\\/...', facecolor='red', label='Asynchronous Comm')\n",
    "\n",
    "    handles=[(brown_Spatch, brown_Apatch),purple_Spatch,red_Apatch]\n",
    "\n",
    "    plt.legend(handles=handles, labels=labels, loc='upper center', fontsize=24, ncol=1, handler_map={tuple: HandlerTuple(ndivide=None)})\n",
    "#bbox_to_anchor=(1, 0.5) --> Para sacar fuera de la grafica la leyenda\n",
    "\n",
    "    ax.axvline((3.5), color='black')\n",
    "    ax.axvline((7.5), color='black')\n",
    "    ax.axvline((11.5), color='black')\n",
    "    \n",
    "    ax.tick_params(axis='both', which='major', labelsize=24)\n",
    "    ax.tick_params(axis='both', which='minor', labelsize=22)\n",
    "    #ax.axvline(4)\n",
    "    \n",
    "    f.tight_layout()\n",
    "    f.savefig(\"Images/Malt_Partitions_\"+dist_names[dist]+\".png\", format=\"png\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1440x864 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "if(n_qty == 1):\n",
    "    groupM_aux = dfM.groupby(['NP', 'NS'])['TC']\n",
    "else:\n",
    "    groupM_aux = dfM.groupby(['NP', 'NS', 'Dist'])['TC']\n",
    "\n",
    "grouped_aggM_aux = groupM_aux.agg(['mean'])\n",
    "grouped_aggM_aux.columns = grouped_aggM_aux.columns.get_level_values(0)\n",
    "\n",
    "j = 0\n",
    "f=plt.figure(figsize=(20, 12))\n",
    "    \n",
    "ax=f.add_subplot(111)\n",
    "grouped_aggM_aux.unstack().plot(kind='bar', color=['b', 'g'], ax=ax) \n",
    "ax.set_ylabel(\"Time (s)\", fontsize=20)\n",
    "ax.set_xlabel(\"NP, NS\", fontsize=20)\n",
    "ax.legend([\"Best Fit\", \"Worst Fit\"], fontsize=30);\n",
    "\n",
    "ax.axvline((3.5), color='black')\n",
    "ax.axvline((7.5), color='black')\n",
    "ax.axvline((11.5), color='black')\n",
    "ax.axvline((15.5), color='black')\n",
    "    \n",
    "ax.tick_params(axis='both', which='major', labelsize=24)\n",
    "ax.tick_params(axis='both', which='minor', labelsize=22)\n",
    "    \n",
    "f.tight_layout()\n",
    "f.savefig(\"Images/TCR_Tiempo_Barras.png\", format=\"png\")\n",
    "j = (j+1)%5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Para Tipo = 1\n",
      "Para Tipo = 2\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1440x864 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAABZgAAAJ5CAYAAAAjElVtAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjEsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy8QZhcZAAAgAElEQVR4nOzdeZhcVbWw8XdlJoCEIQSSEMIgEEAcCIKohJmPUZRBmTQMooKAyr2XK4Ew6FUvgoIDShyIgCigqCiEKQhyBZUElMEoMxgCGMIgBDOR9f1RldBJOunuSlWd013v73n66dQ5u6pW86wqVq3aZ+/ITCRJkiRJkiRJ6qpeRQcgSZIkSZIkSeqebDBLkiRJkiRJkmpig1mSJEmSJEmSVBMbzJIkSZIkSZKkmthgliRJkiRJkiTVpE/RAdTDOuuskyNHjiw6DEmSJHVzU6dOfSEzBxcdR71YJ0uSJKlellcr94gG88iRI5kyZUrRYUiSJKmbi4inio6hnqyTJUmSVC/Lq5VdIkOSJEmSJEmSVBMbzJIkSZIkSZKkmthgliRJkiRJkiTVxAazJEmSJEmSJKkmNpglSZIkSZIkSTWxwSxJkiRJkiRJqokNZkmSJEmSJElSTWwwS5IkSZIkSZJq0qfoACRJksoszomiQ+gx8qwsOgRJkiTViXVy/XT3OtkGsyRJkiRJUsnZzKuf7t7Mk8rGJTIkSZIkSZIkSTWxwSxJkiR1ExExMCKeiIiMiG8VHY8kSZJkg1mSJEnqPs4F1ik6CEmSJGkRG8ySJElSNxAR7wI+A5xVdCySJEnSIm7yJ0kqDTcuqR83LpF6lojoDXwPuBG4Frig2IgkSZKkChvMkiRJUvl9FtgCOKjoQCRJkqS2XCJDkiRJKrGI2Ag4Bzg3M5/sxPjjI2JKREyZOXNmw+OTJElSa7PBLEmSJJXbd4AngK91ZnBmTsjM0Zk5evDgwY2NTJIkSS3PJTIkSZKkkoqII4E9gZ0yc37R8UiSJElLs8EsSZIklVBE9Kcya/kG4LmI2LR6alj19xrVYy9k5stFxChJkiS5RIYkSZJUTqsAg4F9gUfa/NxePX9k9fZxRQQnSZIkgTOYJUmSpLKaDRzSzvHBwMXAjcAPgPubGZQkSZLUlg1mSZIkqYSqay7/bOnjETGy+s/HMnOZ85IkSVIzuUSGJEmSJEmSJKkmzmCWJEmSupHMfBKIouOQJEmSwBnMkiRJkiRJkqQa2WCWJEmSJEmSJNXEBrMkSZIkSZIkqSY2mCVJkiRJkiRJNbHBLEmSJEmSJEmqiQ1mSZIkSZIkSVJNbDBLkiRJkiRJkmpig1mSJEmSJEmSVBMbzJIkSZIkSZKkmthgliRJkiRJkiTVxAazJEmSJEmSJKkmNpglSZIkSZIkSTWxwSxJkiRJkiRJqokNZkmSJEmSJElSTWwwS5IkSZIkSZJqYoNZkiRJkiRJklQTG8ySJEmSJEmSpJrYYJYkSZIkSZIk1cQGsyRJkiRJkiSpJjaYJUmSJEmSJEk1scEsSZIkSZIkSaqJDWZJkiRJkiRJUk1sMEuSJEmSJEmSamKDWZIkSZIkSZJUExvMkiRJkiRJkqSa2GCWJEmSJEmSJNXEBrMkSZIkSZIkqSY2mCVJkiRJkiRJNbHBLEmSJEmSJEmqSeEN5ojYLCLOjYg/RMTMiHg1Iv4cEeMiYtWi45MkSZIkSZIkta/wBjNwDPBZ4DHgXOA/gb8DXwTuiohVCoxNkiRJkiRJkrQcfYoOAPgZ8OXMfKXNse9GxCPAOOBY4FuFRCZJkiRJkiRJWq7CZzBn5pSlmsuLXFX9vXUz45EkSZIkSZIkdU4ZZjAvz/Dq7+c7Gjjr77OYuPPExkYjSWq4sU+OLTqEHmPibycWHUKPYV7Wj3nZNRGxOTAeeBcwFOgLPA3cAHw1M58tMDxJkiQJKGmDOSJ6UymmFwBXLmfM8cDxAMP6D2tecDW648k7ig6hxxgzckzRIfQY5mV9mJOSpAYZDqwP/AKYTqU2fhuVGvgjEfGOzPxngfFJkiRJRGYWHcMyIuKbwKeB0zPzyx2NHz16dE6ZMqXxga2EOCeKDqHHyLPKl7PdlXlZH+Zk/ZiT9WNe1o95WT/dIS8jYmpmji46jhWJiEOAq4HTMvO8FY3tDnWyJKlzrEnqpzvUJN2BOVk/3SUnl1crF74G89Ii4gtUmssTOtNcliRJklrMU9XfaxYahSRJkkTJlsiIiLOBM4BLgU8WG40kSZJUvIgYAKwGDAC2BP63euqGwoKSJEmSqrrcYI6I1YH3AiOAdYB/A/8E/pyZD9UaSEScBZwFXAYcl2Vcu0OSJElajkbVycBxwDfb3H4SODIz71xOHIv3KhkxYsRKPK0kSZLUsU41mCNiFeAw4Fjg3by5tMaixVayOu4F4OfAdzLzgc4GERHjgbOBy4GjM3NhZ+8rSZIkFaXRdXLVL4G/UZnF/E7gAGDw8gZn5gRgAlTWYO7ic0mSJEldssIGc0T0AU4GxlFZ420O8AfgHuA54EVgFWBtYAtgBypLW3wiIm4FTs3MBzt4jhOBc4CngVuBwyOWWCT8+cy8pct/mSRJktQgzaiTF8nM6cD06s1fRsTPgXsiYhX3LJEkSVLROprB/DdgI+BG4EfArzJz7oruEBGbAWOBjwL3RcSxmXnZCu6yXfX3iOpzLO0OwAazJEmSyqQZdXK7MvP+iLgPOAGwwSxJkqRCddRg/itwUGb+pbMPmJkPA6dXN+w7gcrMjRWNH0ul0JYkSZK6i4bXyR1YBVhrJe4vSZIk1cUKG8yZeUCtD5yZ84ALa72/JEmSVFbNqJMjYr3MfK6d47sAWwO31xqDJEmSVC+d2uRPkiRJUtN9JyLWB24DngIGANsCHwFeBU4tMDZJkiQJqFODOSK2APYGXgd+mpmv1ONxJUmSpO5sJevknwAfA44CBgNJpdF8CfDVzHy6zuFKkiRJXdalBnNEjAc+BWyVmS9Wj+0O/BroVx32XxHx7sycVddIJUmSpJJqRJ2cmVcDVzciXkmSJKleenVx/N7A3xYVzVVfpjKb4izgO1R20z6lPuFJkiRJ3YJ1siRJklpSVxvMI4Fpi25ExDAq68BdnJlfzMxPU1kj7sC6RShJkiSV30iskyVJktSCutpgXhNoOyvjvVRmZfymzbGpwIiVjEuSJEnqTqyTJUmS1JK62mCeCQxrc3sXYD7wxzbH+tXwuJIkSVJ3Zp0sSZKkltSlTf6APwMHRMTWwBzgw8D/Zea/24wZCTxbn/AkSZKkbsE6WZIkSS2pqzMozgPWAP4C/L367wsWnYyIAcDOwJQ6xSdJkiR1B9bJkiRJakldmsGcmXdGxH7Ax6msKffjzJzUZsiOwJPAL+oWoSRJklRy1smSJElqVV1dIoPMvBG4cTnnbgPeubJBSZIkSd2NdbIkSZJakZuMSJIkSZIkSZJqssIGc0SMXpkHj4gBETFqZR5DkiRJKhvrZEmSJKmioxnMf4qIX0TE9l150IhYIyJOAR4HDqk5OkmSJKmcrJMlSZIkOl6D+TjgC8BdEfEI8FPg98CUzHxp0aCI6A1sDuwA7AXsDwwArgEubUDckiRJUpGskyVJkiQ6aDBn5g8j4irgFOATwHgqu2ITEfOBl6gUyG+p3iWAN4BfA1/NzLsbFLckSZJUGOtkSZIkqaKjGcxk5mzgSxHxFWAPYHfgfcAIYG3g38CjwP3A7cAvM/OZRgUsSZIklYF1siRJktSJBvMimbkQuKn6I0mSJAnrZEmSJLW2jjb5kyRJkiRJkiSpXTaYJUmSJEmSJEk1scEsSZIkSZIkSaqJDWZJkiRJkiRJUk1sMEuSJEmSJEmSamKDWZIkSZIkSZJUExvMkiRJkiRJkqSa2GCWJEmSJEmSJNWkTy13iohtgMOBUcCqmbl79fhI4N3ALZn5Up1ilCRJkroF62RJkiS1mi43mCPiXOB03pz9nG1O9wJ+AnwG+OZKRydJkiR1E9bJkiRJakVdWiIjIj4CnAHcArwD+HLb85n5ODAFOKBeAUqSJEllZ50sSZKkVtXVNZhPBh4FPpCZ9wPz2hkzDXjrygYmSZIkdSPWyZIkSWpJXV0i423AxMxsr2BeZAYwpPaQJEmSpG7HOlnqQeKcKDqEHiPPyo4HSZK6ta7OYA5gYQdjhgBzagtHkiRJ6paskyVJktSSutpgfgTYcXknI6I38D7goZUJSpIkSepmrJMlSZLUkrraYL4aeFdEnLqc858HNgWuXKmoJEmSpO7FOlmSJEktqatrMF8IHAKcFxGHAgkQEecD7wdGA38AJtQzSEmSJKnkrJMlSZLUkrrUYM7Mf0fELsBFwBFA7+qpz1FZc+4K4NOZuaCuUUqSJEklZp0sSZKkVtXVGcxk5ivA2Ij4HLAdsDbwCvCnzJxZ5/gkSZKkbqHedXJEbAYcCewJbAIMAB4DrgEuzMzZ9YpdkiRJqlWXG8yLZOaLwE11jEWSJEnq9upYJx8DnAhcB/wYmA/sAnwRODQidsjMf9fheSRJkqSa1dxgliRJktRQPwO+XJ0Zvch3I+IRYBxwLPCtQiKrszgnig6hR8izsugQJElSC+pygzkiBlIpZt8BDAf6tjMsM3O3lYxNkiRJ6jbqXSdn5pTlnLqKSoN561rilCRJkuqpSw3miNgGuBkYDKxomoFfnUuSJKllNLlOHl79/XxHA2f9fRYTd55Yh6dsrLFPji06hB5h4m8nFh1Cj2FO1o95WT/mZf2Yl/VhTtZPd8/JXl0cfyGVovksYCTQNzN7tfPTe4WPIkmSJPUsTamTI6I3MB5YAFy5nDHHR8SUiJgyf/78lXk6SZIkqUOR2flJFBHxOvCbzDy0cSF13ejRo3PKlOVdQVgOritXP64tVz/mZX2Yk/VjTtaPeVk/5mX9dIe8jIipmTm6hvs1pU6OiG8CnwZOz8wvdzS+O9TJ4OusXrrDa6y7MCfrx7ysH/OyfszL+jAn66e75OTyauWuzmB+DXiqPiFJkiRJPUbD6+SI+AKV5vKEzjSXJUmSpGboaoP5NmD7RgQiSZIkdWMNrZMj4mzgDOBS4JONeh5JkiSpq7raYD4dGBUR/x0RzoOXJEmSKhpWJ0fEWVTWdr4MOC67ssadJEmS1GB9ujI4Mx+PiPcBdwEfj4g/A6+0PzSPrUeAkiRJUtk1qk6OiPHA2cDlwNGZubAe8UqSJEn10qUGc0QMB34FrFn92Wg5QxOwwSxJkqSW0Ig6OSJOBM4BngZuBQ5fanL085l5S60xS5IkSfXQpQYzcCGwGfBD4EfADGBBvYOSJEmSuplG1MnbVX+PqD7m0u4AbDBLkiSpUF1tMO8K3JSZxzUiGEmSJKmbqnudnJljgbH1ejxJkiSpEbq6yV8v4IFGBCJJkiR1Y9bJkiRJakldbTD/Adi6EYFIkiRJ3Zh1siRJklpSVxvM44CdI+IjjQhGkiRJ6qaskyVJktSSuroG877AbcCPI+KTwFTglXbGZWZ+YWWDkyRJkroJ62RJkiS1pK42mM9u8++dqj/tScDCWZIkSa3i7Db/tk6WJElSy+hqg3mXhkQhSZIkdW/WyZIkSWpJXWowZ+YdjQpEkiRJ6q6skyVJktSqurrJX91FxOcj4pqIeDwiMiKeLDomSZIkSZIkSVLHurpERiN8CXgRuBcYVHAskiRJkiRJkqROWmGDOSIWAguBLTPz4ert7MTjZmZ2tnm9SWY+Xn2+B4HVOnk/SZIkqRBNqpMlSZKk0uuouP0dlUL59aVu182i5rIkSZLUjTS8TpYkSZK6gxU2mDNz5xXdliRJklqRdbIkSZJU0eEmfxHx0YjYphnBSJIkSd2FdbIkSZLUiQYzMBE4sMFxdFlEHB8RUyJiysyZM4sOR5IkSa1nIiWskyVJkqRm6kyDuZQyc0Jmjs7M0YMHDy46HEmSJEmSJElqOd22wSxJkiRJkiRJKpYNZkmSJEmSJElSTfp0ctygiBjRlQfOzKdriEeSJEnqTqyTJUmS1NI622A+pfrTWdnZx46Io4ANqzcHA/0i4ozq7acy8/IuPK8kSZLUTA2rkyVJkqTuoLPF7b+AlxsUw7HAmKWOfaH6+w7ABrMkSZLKqpF1siRJklR6nW0wfz0zz21EAJm5cyMeV5IkSWqChtXJkiRJUnfgJn+SJEmSJEmSpJrYYJYkSZIkSZIk1cQGsyRJkiRJkiSpJjaYJUmSJEmSJEk16XCTv8y0CS1JkiQtxTpZkiRJcgazJEmSJEmSJKlGNpglSZIkSZIkSTWxwSxJkiRJkiRJqokNZkmSJEmSJElSTWwwS5IkSZIkSZJqYoNZkiRJkiRJklQTG8ySJEmSJEmSpJrYYJYkSZJKKiI+HxHXRMTjEZER8WTRMUmSJElt9Sk6AEmSJEnL9SXgReBeYFDBsUiSJEnLsMEsSZIkldcmmfk4QEQ8CKxWcDySJEnSElwiQ5IkSSqpRc1lSZIkqaxsMEuSJEmSJEmSamKDWZIkSepBIuL4iJgSEVNmzpxZdDiSJEnq4WwwS5IkST1IZk7IzNGZOXrw4MFFhyNJkqQezgazJEmSJEmSJKkmNpglSZIkSZIkSTWxwSxJkiRJkiRJqokNZkmSJEmSJElSTfoUHYAkSZKk9kXEUcCG1ZuDgX4RcUb19lOZeXkxkUmSJEkVNpglSZKk8joWGLPUsS9Uf98B2GCWJElSoWwwS5IkSSWVmTsXHYMkSZK0Iq7BLEmSJEmSJEmqiQ1mSZIkSZIkSVJNbDBLkiRJkiRJkmpig1mSJEmSJEmSVBMbzJIkSZIkSZKkmthgliRJkiRJkiTVxAazJEmSJEmSJKkmNpglSZIkSZIkSTWxwSxJkiRJkiRJqokNZkmSJEmSJElSTfoUHUAjzZ8/n+nTpzNnzpyiQ2HSnpOKDqHHmDZtWtEhLKF3794MGjSIddZZh169/M5GkiSV38KFC3nhhRd4+eWXeeONN4oOx1q5TspWJwMMGDCA4cOH07dv36JDkSRJDdKjG8zTp09n9dVXZ+TIkUREobHMnjG70OfvSUYNHVV0CItlJvPnz+f5559n+vTpjBgxouiQJEmSOjR9+nQigpEjR9K3b19r5R6iTHUyVGrlWbNmMX36dDbaaKOiw5EkSQ3So6dbzpkzh7XXXrvwglk9V0TQr18/hg0bxuzZfjCSJEndw+zZsxk2bBj9+vWzVlbDRARrr712Ka4olSRJjdOjG8yABbOawqUxJElSd2P9ombw85gkST2fVaUkSZIkSZIkqSY2mLuxGf+YwXbDtmPBggUAfOLgT/DLK3+50o874YIJnHnSmcs9f8D2B/DH3/2xy4973x/v46D3H7Qyoa20L33pSxx33HGFxiBJkqTGs1buOmtlSZJUix69yV971jt/PZ6f/XzDHn/IqkN47j+e63DcAdsfwMznZzLp3kkMWmvQ4uOH73E4j/z1EX71h18xdIOhDYuzCO/c/p38/M6fL759wPYHMO6r49h+p+0b8ny33347Rx55JNOnT1987PTTT2/Ic0mSJHV3ZamTwVoZrJUlSVL30XIzmBtZNHf18YduMJSbfnnT4tuPTnuUuXPmNiKsHiczWbhwYdFhSJIk9RhlqpPBWnllWCtLkqRmarkGc5nsc9A+XP+z6xff/s01v2Hfg/ddYsz/3fp/HLHnEey8+c7sO3pfJlwwodOPf91Pr+OQMYew65a7ctLhJ/Hs9GcXnzt//PnsO3pfdt58Z476f0dx3x/vW+K+8+bM4/Of/DxjNhvDkXsdycMPPdzucyxcuJCJ35rIgTseyO5b7c7nP/F5XnnplXbHTr1rKvtuW/n7xp80nueeeY5Tjz6Vnd66E5ddfBkAD0x9gGMOOIZdRu3C4bsfztS7pi6+/ycO/gQXf+Vi3vve9zJw4EAef/xxLr30UkaNGsXqq6/OxhtvzCWXXAJUdkbfe++9mTFjBqutthqrrbYaM2bM4Oyzz+bII49887/Rddex1VZbMWjQIHbeeWemTZu2+NzIkSM5//zz2WabbVhjjTX48Ic/7A7YkiRJTWKt3PVaedy4cdbKkiSp6WwwF2jrd23N7Fdn88QjT/DGG29wy3W3sPdBey8xZpWBq3DORedw27TbuPCyC/n5ZT/n9htv7/Cxb7/xdi795qWc9/3zuPn+m3nHu9/BuBPGLT6/5du35Mc3/5hbH7qVvQ7ci//+xH8vMSPkjpvvYPf9dmfyQ5PZ64N78Z/H/icL5i9Y5nl++oOfcseNd3DJzy7hhntvYPU1Vue8ced1GN+53zyX9YatxwWXXsDvHvkdHz3ho/zz2X/y2Y9+lmNPOZbJD03mlPGncNrHT+OlWS8tvt8NP7+BCRMm8Oqrr7Lhhhuy7rrr8pvf/IZ//etfXHrppXz2s5/l3nvvZdVVV2XSpEkMHTqU1157jddee42hQ5e8jPLhhx/msMMO48ILL2TmzJnss88+7L///sybN2/xmKuvvpobb7yRJ554gvvvv5+JEyd2+LdJkiRp5Vkrd71Wvvzyy62VJUlS09lgLtiimRl//N0fGbnpSAavN3iJ89vuuC2bjtqUXr168dYt38qeH9iTe+++t8PHvfaKaxn76bFs9NaN6NOnD0effDQPP/Tw4pkZ+xy0D4PWGkSfPn048pNHMn/efJ567KnF9x/1tlHstt9u9OnbhyOOP4K5c+fywL0PLPM8v7jiF3zqtE8xZOgQ+vXvx/GnHs/k6ycv3kylKyZdO4kdd92R9+72Xnr16sX2O23PqLeP4veTf794zH6H7sdWW21Fnz596Nu3L/vuuy+bbLIJEcGYMWPYc889ufPOOzv1fFdddRX77rsve+yxB3379uU//uM/+Pe//81dd921eMzJJ5/M0KFDWWuttdh///3585//3OW/S5IkSbWxVn5TZ2rlsWPHWitLkqSma7lN/spmn4P34fgPHc+Mp2csc8kfwIP3Psi3vvQtHvv7Y8yfP5/58+az2767dfi4z01/jgvGX8CF5164xPF/PvtP1h++Pld89wp+9ZNfMfP5mUQEs1+dzcsvvrx43JChQxb/u1evXqy7/rrMfG7mMs/z7PRn+a/j/ovoFYuP9e7dmxdnvsi666/bqf8GbR9r8vWTufPWN4veBfMXsO2O27YbF8CkSZM455xzePjhh1m4cCGvv/46b3vb2zr1fDNmzGDDDTdcfLtXr15ssMEGPPPMM4uPrbfeeov/PXDgQGbMmNGlv0mSJEm1s1Ze8rE6qpU32GCDJe5jrSxJkprBBnPB1h++PkNHDOWu2+7izAvOXOb8GZ8+g0PHHspFV1xE/wH9uWD8Bbz80svtPNKShgwdwtEnH83eH9p7mXP3/fE+Lrv4Mi6+6mI23nxjevXqxa5b7kpmLh7z/Iw3N2FZuHAh/3z2n8vMGFn0POO/Np63b/f2zv7Ji0XEEreHDB3C3gftzRlfPaNT95k7dy4HHXQQl112GR/4wAfo27cvBx544OK/Y+nHX9rQoUN54IE3Z5pkJv/4xz8YNmxYl/8WSZIk1Z+18pKPZa0sSZLKyCUySuDM88/k4qsvZpWBqyxz7vXXXuctg95C/wH9eei+h5bYSXtFPnTUh5j4rYk89vfHAHjtX69x669vXfyYvfv0ZtDag3hjwRt87+vfY/ars5e4/7QHpnHbDbexYMECfvK9n9CvXz/e9q5lZzscdNRBXPy/Fy++nPClWS9xx013dCrGtdZZi2eefnMGxN4f2ps7b7mTu2+/mzfeeIO5c+Yy9a6pSxTwbc2bN4+5c+cyePBg+vTpw6RJk7j55psXnx8yZAizZs3ilVfa30jl0EMP5frrr2fy5MnMnz+fCy64gP79+7Pjjjt2Kn5JkiQ1nrVyhbWyJEkqq5ZrMA9ZdUjHg5r8+MNHDmfLt2/Z7rnTvnQal5x/CWM2G8P3v/59dt9/90495i5778LHTvgY404Yx86b78yHd/0wd/22sl7aDjvvwI677MjB7z+Y/bffn/79+y+z9MSYPcdwy3W3sNuWu3HDz2/gvO+fR5++y054/8hxH2GnPXbi04d9mjGbjeHo/Y/mwXsf7FSMY08ayw8v+iG7jNqFy797eWUjkx9ewKXfvJQ9t9mT/bbbj8u/c/kSs0XaWn311fnGN77BoYceypprrsmVV17JAQccsPj8FltswWGHHcbGG2/MoEGDlrlkb/PNN+eKK67gpJNOYp111uHXv/41v/71r+nXr1+n4pckSepJylgng7WytbIkSSq7WF5B0p2MHj06p0yZsszxadOmMWrUqAIiWtaUGcvGp9qMHjq66BDaVaZ866w4Z8WXRqpz8qzu/z5aFuZk/ZiX9WNe1k93yMuImJqZ5Sw2atAd6mSwVq4X6+T68b2/frrDe393YV7Wj3lZH+Zk/XSXnFxerdxyM5glSZIkSZIkSfVhg1mSJEmSJEmSVBMbzJIkSZIkSZKkmthgliRJkiRJkiTVpMc3mHvCJoYqv4ULFxYdgiRJUpdYv6gZ/DwmSVLP16MbzAMGDGDWrFkWNWqYzGTevHk888wzrLrqqkWHI0mS1CmrrroqzzzzDPPmzbNWVsNkJrNmzWLAgAFFhyJJkhqoT9EBNNLw4cOZPn06M2fOLDoUXnj5haJD6DGmvTKt6BCW0KdPH9ZYYw3WWWedokORJEnqlOHDh/PCCy/w1FNPsWDBgqLDsVauk7LVyVCZ9DN8+PCiw5AkSQ1UigZzRPQCTgE+AYwEZgJXA+Mzc3atj9u3b1822mijusS4srY8Z8uiQ+gx8ixn2UiSpNbQqDq5V69erLvuuqy77rp1iXNlWSvXh3WyJEkqQlmWyPg68DXgr8BJwDXAycCvq0W1JEmS1IqskyVJklRqhc9gjoitqBTL12bmQW2OPwF8A/gIcGVB4UmSJEmFsE6WJElSd1CGWQ+HAQFcuNTx7wGvA0c2PSJJkiSpeNbJkiRJKr0yNJi3AxYCf2p7MDPnAH+unpckSZJajXWyJEmSSi8yi90IIiIeANbNzCHtnLsaOATon5nzljp3PHB89ebmwN8bHWsLWAdwC2+VjXmpMjIvVTbmZP1smJmDiw4CrJNLyNeZysi8VNmYkyoj87J+2q2VC2Am+68AACAASURBVF+DGRgIzF3OuTltxixROGfmBGBCA+NqORExJTNHFx2H1JZ5qTIyL1U25mSPZZ1cIr7OVEbmpcrGnFQZmZeNV4YlMl4H+i/n3IA2YyRJkqRWYp0sSZKk0itDg3kGsE5EtFc8DwNeWPqyP0mSJKkFWCdLkiSp9MrQYL6HShzvbnswIgYA7wCmFBFUi/JSSpWReakyMi9VNuZkz2SdXC6+zlRG5qXKxpxUGZmXDVaGTf7eBvwF+EVmHtTm+EnAN4CjMvOKouKTJEmSimCdLEmSpO6g8AYzQER8E/g08AvgBmAUcDLwe2DXzFxYYHiSJElSIayTJUmSVHZlaTD3Bj4DHA+MBF4ArgLGZ+ZrBYYmSZIkFcY6WZIkSWVXigazJEmSJEmSJKn7KcMmf5IkSZIkSZKkbsgGsyRJkiRJkiSpJjaYJUmSJEmSJEk16VN0ACpeRKwJrAskMDMzXyo4JLW4iBgIbE6bvAT+npmvFxqYWlZEbAZsxZI5+WBmPlJoYGpp5qXUeNYkKhvf+1U21ffJ99FOXgK/9/1SzWZOFsNN/lpQRPQCPgAcAowB1ltqyHPA7cA1wHWZubCpAaolVb/oGEslL7dl2S/AFgBTgauBH/lFiBotIkYBn6SSk0MWHa7+XvQ/z+ep5OQlmTmtuRGqFZmXUuNZk6hsfO9XGUXE3lTy8v9ReZ+MpYYklffLScB3M/PG5kaoVmNOFssGcwuJiN7Ap4DPA+sDs4F7gMeAWVRefGsBmwKjgVWBZ4EvUXnxvVFA2OrhImIN4EzgBGAA8HfgbtrPyx2ozCKaA3wb+GJmvlJA2OrBImIT4H+BDwL/Bu5kxTn5fmAV4FrgtMx8vICw1cOZl1LjWZOobHzvVxlFxPuBC6j0DJ4EbmL5efkeKs2+EVS+mPtsZv5f86NWT2ZOloMN5hYSEX8DNgB+ClwO/G55s5Ors5x3AY4EDgWezsxRzYpVrSMiXqDy4ewS4IrMfKKD8RsDRwHHA/0zc53GR6lWEhFzgQeAi4BrM3N2B+NXBQ4GTga2yswBjY9Srca8lBrPmkRl43u/yigi3gB+CVyYmXd28j5jgM8A+2emS7WqrszJcrDB3EIi4uvAVzLz+S7ebz0q34B/tjGRqZVFxClUZsjP7eL9+gOfzMyLGhOZWlVEfCAzf9Xs+0orYl5KjWdNorLxvV9lFBFvz8y/NPu+0vKYk+Vgg1mSJEmSJEmSVJNeRQcgSZIkSZIkSeqeXGdEUmlExEBgH2A7YBgwEHgdeAaYAtzQ0dpzUj1FxAbAh2k/J+8BrsnMp4qLUK3IvJTKISJWAQZn5tNFx6Kez/d+lVFE7EBl36bl5eWPM/Pu4iJUqzEni+MSGS0oIrYAzgW2Bp4HJmbmj9oZdwRwWWb2bnKIakER8THgfCq7u8Zyhr0EnJqZE5sVl1pXRIwHTgf6AQup7EA8BxgArE3lKqD5wJcz8+yCwlSLMS+lxqtu/PNV2tTKVF5T85YaZ62spvC9X2UTEX2ACcDHqHx2m0GlgbcoL4cBQ4EELgeOzcw3iolWrcCcLJ5LZLSYiBgO3E1ld+F1gR2BH0bE9RGxWqHBqWVFxMHApcDjVP6HsBmwKtC7+nuz6vHHgB9Ux0sNExGfBM4GfgPsBAzMzCGZuWFmDqHyTfiY6vkzI+JThQWrlmFeSo1XnYhxE7AN8FcqDb2zgD9UN76Wmsr3fpXUacBY4OvAiMwcnpnbZ+aY6u/hwAjgQuCj1fFSI5mTBXMGc4uJiEuoXC5wQGZOjoi3AGcCn6NyucBemflKdayzMtQUEXEP8Cqwe2YuXMG4XsBkYPXMHN2s+NR6IuJB4G+Z2eGXGRFxLbBZZm7d+MjUysxLqfEi4kpgL+B9mTktIgI4gcpVVtOBXTJzenWstbIazvd+lVFEPAr8NjM/3omx3wd2zsxNGx+ZWpU5WTxnMLeeMcB3M3MyQGb+KzP/k8p6Xu8Abo2IQUUGqJa0FXDliprLANXzVwJbNiUqtbJNgEmdHHt9dbzUaOal1HjbAxdn5jSArPg2sBuVpQjuiIgRRQaoluN7v8po0ZXRnXEXleUJpEYyJwtmg7n1jAAeXPpgZv4M+BCVteYmR8SazQ5MLe01Ov8GP6w6XmqkWcAWnRw7qjpeajTzUmq89aks2bWEzLwL2ANYE7g9IkY2Nyy1MN/7VUYzgB06OfY9wLMNjEUCc7JwNphbzwvAOu2dyMwbgA9SKUwmU5mlITXDjcCpEbHPigZFxL7AZ+n8LA6pVr8ATo6IEyKiX3sDIqJvRJwInARc29To1KrMS6nxnqeyCdAyMnMqsDvwFuC3wMZNjEuty/d+ldEVwLERcV5EtDtRKCKGRcRXgWOq46VGMicL5hrMLSYibgIWZubeKxizF5VCBqC/68qp0SJifeD3wIZUNvL7A5UdX+cC/anMWt6ByiV/TwM7ZqbfOKphquvT3wqMBmYD97FsTr6TyiaUU4HdMvNfxUSrVmFeSo0XEb8E1szMMSsY807gFmAQlc9T1spqGN/7VUbVLzuuBg4AkkpOLp2Xw4CgsgHlwZk5r5ho1QrMyeLZYG4xEXEKlU1KNsvMJ1Ywbk/gV0A/i2Y1Q3VZls8Dh9H+chnPAD8BvpKZLzYzNrWmiOgLfBw4nMoHt1XanP43cC+VnPxeZs5vfoRqReal1FgR8XHgEuAdmXn/CsYtajKvaa2sRvO9X2VVvQL1cCpfgAwFBgKvU1mu4B7gJ9UrpaWmMCeLY4O5xVQ38NsemJaZT3cwdltg68z8UVOCk6oiYj2W+p9BZj5XbFRqZRERVNbdXJSTL6X/A1XBzEup/iKiPzASmNnRF9rVzf42ysw7mhGbBL73S5LKyQazJEmSJEmSJKkmbvInSZLUA0TEehFxXUS8p+hYJEnNFxGrV2fWS6UREauYlypaRAyPiPsjYreiY+mpbDBruSJifEQcExGuK6fSiIhxEbGg6DjU80XEFhFxdUT8NSJ+GxEfW864IyLijWbHJ7VjVWA/YL2iA5FaQUT8MCLOrS5BJ5XBycBy99mR6ikixkTEnyLi9Yh4IiLOqm60trQPYV6qeP2BrYG3FB1IT9Wn6ABUamdT2X3ztIg4LTN/WXA80iJRdADq2SJiOHA3sAbwIrAJsFNEHAp8ODNfKzI+taaIWO6GY1WLPtR9PSLOATIz397gsKRWNrb6+8SI+EJmXlhkMJLULBGxBXBT9eaDwPrAWcAHImIf989Rs0XEvzoaUv19RXVyUGbmGg0Oq6XYYNaKHA2sDuwK/BCwwayG6OIlU84SUjOcSaVZt0dmTo6It1SPfQ64NSL2ysxXCo1QrWhrKhs6zVzO+UV13SpUviCW1Fi78GatfCxgg1l1FxE7dWH4Rg0LRFrSeGA28L7MnFbdfPIE4HzgzojYJTOnFxqhWs1qwKvAvcs5vwrwbiqz6ZdXS2sluMmfOiUiememl4CrISJiIV1shmSmS7eoYSLib8D1mXnqUscPBq4AHqDSfH45Io4ALjMn1WgRcTWVy0y/BZyx9Ez6iNgUeBg4ODOvLSBESVKddbFODiqz8qxJ1FAR8RhwZWaeudTxHYHfAC8Bu2Tm09bKaoaIOA/4DHADcFJm/mOp89bJDeYMZnWKzWU12ALgUWByJ8aOpvLNo9RII6hc7reEzPxZRLwO/ByYHBG7Nz0ytazMPDQi9gO+DRwcEadk5s/bDikoNElS48wF/gpc2YmxuwF7NTYcCagsifH40gcz866I2AO4Bbg9InZtemRqSZn5XxFxJTAB+GtEnA18PTMXLhpSWHAtwgazpDL4K/B6Zp7U0cCIGIcNZjXeC8A67Z3IzBsi4oPAtVS+FJnYxLjU4jLzNxHxW+BLwFURcSNwYmY+VXBoUo8TEesC2wLDgIFUlqh5Bpiamf8sMja1lAeAXpl5QUcDI2IANpjVHM8DQ9s7kZlTq5MwbgZ+S2W5TanhMvPPEbEDcApwLvDRiDg+M/9YcGgtoVfRAaj5IqJ/RJwQERdXd3p963LG7R4RtzU7PrWke4G3R4TvSSqLaVTW1GxXZt4IfBDYAvhKs4KSADJzdmaeAuwIbAA8FBH/zZub/ElaCRGxVfXLmxlULvWeQGV95QnV2zMi4qaI2LrAMNU67gW2joi+RQcitfEXYM/lnczMe4E9qKxTf1azgpIyc2Fmfp3K3iXPAL+PiO8CaxYbWc/nDOYWExEDgd8D2/DmLpqnR8SZmXneUsOHAGOaGZ9a1iQqm5IMBTraDOJ3VL6NlBrpBuD8iNgoM59ob0Bm3hQRBwK/am5oUkVm/iki3gX8F5XNdk7Ey/+klRIRbwfupPJamgj8gcoH1DnAACqzmd8DHAzcFRHvz8y/FBOtWsTPgP5Urqx6toOx19FxLS3Vw/XAJRGxTWbe396AzLyvzXIZNvfUVNWr+/aJiMOArwOHY53cUG7y12Ii4nTgi8D/AFdRmfk0nsqSA5dk5gltxroYv6SWFBGDgO2BaZn5dAdjtwW2zswfNSU4qR3VjUsuoLJ++KmZ6RVIUg0iYhKwKTAmM2esYNxQKl96P5yZ+zQrPkkqg4joD4wEZmbmix2MHQFslJl3NCM2aWkRsSZwNpU6+SsumdEYNphbTETcB/wtMw9rc6wXcBGVmU8/yMyPV4/bYJYkSVLLiIhXgPGZeVEnxn4GOCcz12h8ZJIkSeXlEhmtZxPgO20PVHfVPCkiXgbGRUTvzDymkOgkSZKk4gSdv4Q2eXPJOUmSpJblhlqtZw7Q7gYRmXkmlbVtx0bEpZgfKqGIGB8Rx0SEM+tVCuakysi8lGr2JyoTL9Zb0aDq+ZMAL7NVaUTEDyPi3OpSX1IpmJcqG3OyMVwio8VExN3Ao5l51ArGnEVlp9engBEukaEyiYiFVGYMPQqclpm/LDgktThzUmVkXkq1iYjtgduBucDVvLnJ31wqG60t2uTvkOrtnV3LUWVRfe8HeAn4QmZeWGQ8EpiXKh9zsjFsMLeYiDgXOAUYnpmvrmDceCqLoKcNZpVJRHwMWB3YlcqHurUKDkktzpxUGZmXUu0iYgfgG8Do6qG2H5gWLYkxBTglM+9uZmzSikTEGN58798jM99WcEiSeanSMScbwwZzi4mItwLHANdk5r0djD0RGJ2ZRzclOKmLquuFv1F0HNIi5qTKyLyUahMRmwDbAUOBgcDrwAzgnsx8rMjYJEmSysQGsyRJkiRJkiSpJn2KDkDNExG7ZebkGu+7e2beWu+YJEmSJEkdi4h1gW2prAW+aFb9M8DUzPxnkbGpdZmXKhtzshjOYG4hETEfuBP4GjCpo8tlI6IvsB/wGeA9mdmv8VGqVUVEf+BYYGvgeeDKzHyknXG7A6dn5q5NDlEtxpxUGZmXUnlExJHAMb7O1GgRsRVwAbA7lXXAo83prP5MBk7NzAebH6FakXmpsjEni+UM5tbyTirN5euAFyLiFuBPwGPAi1RefGsBbwV2oLLg+ZrAzcA7ighYrSEiBgK/B7bhzf8JnB4RZ2bmeUsNHwKMaWZ8aj3mpMrIvJRKZ0N8nanBIuLtVCYJJTAR+AOVmXhzgAFUZui9BzgYuCsi3p+ZfykmWrUK81JlY04WzxnMLSgi3gOcAHwAWI0ld8aGyofWfwHXAt/JzHuaG6FaTUScDnwR+B/gKmADYDzwbuCSzDyhzdgjgMsys3cRsao1mJMqI/NSKpeIGAec6+tMjRQRk4BNgTGZOWMF44YCvwMezsx9mhWfWpN5qbIxJ4vnDOYWlJl3A3dHRG8q69JsCQym0mieCTwI3JeZC4uLUi3mEOCqzDyzevvBiLgJuAg4MSL6ZubHiwtPLcicVBmZl1KDRcTjXRi+RsMCkd60IzB+RQ0TgMycERHfAs5pTlhqcealysacLJgN5hZWXYP5T9UfqUibAN9pe6D6BcdJEfEyMC4iemfmMYVEp1ZkTqqMzEup8UYCLwEr/IBaNbCxoUhA5erSzl52nCy55qjUKOalysacLJgNZkllMAfo296JzDwzIt4AxkdEALc1NTK1KnNSZWReSo33BPBoZu7V0cCIOANnQKnx/kTli8SrM/O55Q2KiPWAk4A/Ni0ytTLzUmVjThbMBrOkMniMysaS327vZGaeHREJnAXs3MS41LrMSZWReSk13lRgl06OdTMbNcM44HbgbxFxNW9uXDUX6M+bG1cdUr19RDFhqsWYlyobc7JgbvInqXARcS5wCjA8M19dwbjxwNlAuqGOGsmcVBmZl1LjRcTnqWykuXFmPtnB2COBYzOzsw1pqSYRsQPwDWB09VDbD/GLLvOeApxS3W9HajjzUmVjThbLBrOkwkXEW4FjgGsy894Oxp4IjM7Mo5sSnFqSOakyMi8lqbVFxCbAdsBQKmuAv05lvfB7MvOxImNT6zIvVTbmZDFsMEuSJEmSJEmSatKr6AAktbaI2G0l7rt7PWORwJxUOZmXUuP5OpMkSaqNDWZJRbsxIm6LiP0iosO1QiOib0R8MCLuAG5oQnxqPeakysi8lBrP15m6tYg4MiJuKzoOqS3zUmVjTjZGn6IDkNTy3gl8DbgOeCEibgH+BDwGvEhlMf61gLcCOwC7AmsCNwPvKCJg9XjmpMrIvJQaz9eZursNgTFFByEtxbxU2ZiTDWCDWVKhMvNBYM+IeA9wAvAB4DCW3PEVKh/q/gVcC3wnM+9paqBqGeakysi8lBrP15kkSVJt3ORPUqlUL0ndFtgSGEzlQ91M4EHgvsxcWGB4akHmpMrIvJQaz9eZyiAiHu/C8DWAQZnZ4RIv0sowL1U25mTxbDBLkiRJklRCEbEQeAmY0Ynhg4HBNk3UaOalysacLJ5LZEiSJEmSVE5PAI9m5l4dDYyIM4BzGh+SZF6qdMzJgvUqOgBJkiRJktSuqcC7OjnWy5PVLOalysacLJgNZkmSJEmSyuk+YO2IGNmJsU8Bv2toNFKFeamyMScL5hrMklSAiFj05vs0sHlmzmlnzJPAhkDfzFzQzn0XWbTe1P3ADzLzx52MYSLwserNfTPzhnbGnA2cBXw8M7+/1LntgM8A7wPWA+ZS2fzor8CdwLczc3ZnYpEkSZIkSd2TazBLUrFGUGnSfqWG+y5aN6ovsDlwILBLRGybmZ/r4mOdFxE3ZeYbnRkcEUcCPwICuA34BfAGsBEwGtgPuBZ4tItxSJIkSdL/Z+/Ow60qy/+Pv29GxQkVxIAQzVS0zBKHtBTHUtMsy9Ksr2Zp+XXI5rQc+1o/lcIhM7Mktdm0NIdKzSE1C4ccIuchQHGeQBDk/v2xN3iAw2Gfzd5nrX32+3Vd59qcvZ61zudwPQfufZ+1n0dSC3GJDEkqzvPAc8A3ImJId0/OzOOqH0dn5keA91FZT+oLNb41aL4HgY2AT9cyOCIGAT+ofq2dMnPHzPxCZn4pMz+cmaOArYFnupFBkiRJHUTEDstw7o6NzCLN57xU2Tgny8EGsyQVZyZwIrAylWUolklmXgP8h8pdxZt149QTq1lOiIgVahj/NiqZ76l+zc6y3JyZL3QjgyRJkhZ2VURcGxEfiIi+SxscEf0j4kMRcT2w2NJnUoM4L1U2zskScIkMSSrWD4BDgYMj4ozMvH8ZrxfVx+4ssD8NGA98C/gqS292P1t9HB4RK7jOsiRJUlO8E/gecCnwTET8BfgH8BCVd8EFsBrwVmBLYHtgVeDPwCZFBFZbcF6qbJyTJeAmf5JUgOpGfVMzc2REfAT4LXBJZn64w5hH6WKTv8yMRa65I5X/JAHWzszHlpJhIpVN/nYC/k5lqYwVgbdm5hPVMcexyCZ/ERHArVTukv4X8GPgZuDezHytu38XkiRJWrKIeDdwCPBBKrXaoi/iA3iJyv4XP8zMf/ZsQrUj56XKxjlZLO9glqSCZeZFEXEL8KGIeE9m/q2W86rNX1h4k78Avr+05nInGV6JiGOBs6ksmfGZLsZmtSn+M2AccGb10JyIuIM3/sN+qTsZJEmStLjMvAW4pfrW702BDYGhVJonTwP3AHdk5rziUqrdOC9VNs7JYnkHsyQVoOMdzNXP303lLuB/AFtWm7iP0sUdzB0k8AKVu4l/kpkX1phhItU7mDPz6up/xHcBGwCbZObdnd3BvMg1xlC5A3ossDmVRjfA48C4zHykliySJEmSJKk1ucmfJJVA9betF1Fp0u5d4zlR/eiTmatl5na1NpeXcL3XqazB3Ac4ucZzJmfm6Zn5qczcABgD3AKMAr5fbxZJkiRJktQabDBLUnl8HZgDfCciBhQRIDMvB64F3h8RO9Vx/n+AT1Y/3b6R2SRJkiRJUvnYYJakksjMh4CzgLWBwwqM8mUqy26cQn3/T7xcfYwuR0mSJEmSpJZng1mSyuUEKuspH01l59tlFhETIyIjYv9axmfmHcCFwDuAfTq53toRcXhErNLJsaCSHeCG+lNLkiSpXVVr14yIxyJiuSWMebQ6pt8Szp3/8XpEPBMR10bEJ7qRYWKHa+y6hDHHVY8vtkF2RGwWET+vfg+zI+KliHgoIi6LiK9GxAq1ZpGksuu39CGSpJ6Smc9FxEnUuAZyjeb/MnFul6MWdjTwUWDdTo6tApwGnBIRN1HZjfdlYA0qy2KsAzwFfKnewJIkSRKVfT2+AHy3jnOPrz72p7IR9Z7AdhGxaWZ+sZvXOjki/lTds2SpImI/4GdU3tF3LXAJ8DqVdyqOBT4AXAw82M0cklRKNpglqXxOBw4BRjfoem+n0gC+vNYTMvO/ETGByrrQi5oMfAjYGdgS+BiwGjCTSpF8EjAhM59extySJElqX89TWbbtGxFxbmY+052TM/O4jp9HxA7AX4AvRMTpmflojZd6ENgI+DTw46UNjohBwA+oZN85M6/pZMxWQLe+H0kqM5fIkKQCZGZk5sglHJudmWtXx0Rmzu3k3JrWN46IwcDGwNmZ+fwi19m/eq2rl5DjGx0ynLtIvt9n5iGZ+a7MHJaZ/TNzlczcNDOPtrksSZKkZTQTOBFYGTh2WS9WbfT+h8pdxZt149QTq1lOqHFZi7dRyXxPZ83lapabM/OFbmSQpFKzwSxJvdt7gTnA94oOIkmSJHXTD4CHgIMjYr0GXG/+TRrZjXOmAeOBNYGv1jD+2erjcNdZltQubDBLUi+WmZdl5nKZ+WTRWSRJkqTuyMw5VJZs60996zAvEBE7UlmLOYF/dvP0k4HpwJci4k1LGftw9fpDgZsi4n8j4p0RMaC7mSWpVdhgliRJkiRJpZSZFwG3AB+KiPfUel5EHFf9+L+IuAi4isodzBMy87FuZniFyjIdK1BZMqOrsQl8BLgOeAdwJnA78EpE3BoRX4uIlbvz9SWp7NzkT5IkSZIkldmXgJuB8RGxZbWJuzTz121O4AXgRuAnmXlhnRnOBQ4HDoiI0zLz7iUNzMzHge0iYgywEzAW2LzDxyERMS4zH6kziySVincwS5IkSZKk0srMW4CLqDRn967xnPmbVffJzNUyc7tlaC6Tma9TWYO5D5UlM2o5Z3Jmnp6Zn8rMDYAxVO7GHgV8v94sklQ2NpglSZIkSVLZfZ3K5tXfKWo948y8HLgWeH9E7FTH+f8BPln9dPtGZpOkItlgliRJkiRJpZaZDwFnAWsDhxUY5ctUlt04hfp6Ki9XH6NhiSSpYDaYJUmSJElSKziBynrKRwMrNuKCETExIjIi9q9lfGbeAVxIZQO/fTq53toRcXhErNLJsaCSHeCG+lNLUrm4yZ8kSZIkSSq9zHwuIk6ixjWQazT/xru53TjnaOCjwLqdHFsFOA04JSJuAu6hctfyGlSWxVgHeIrKxoWS1Ct4B7MkSZIkSWoVpwOPNvB6b6fSAL681hMy87/AhCUcngx8CPgJMBj4GJXNAfemcvf1ScDbqusxS1KvEJlZdAZJkiRJkqQeFRGDgWeB8Zn51aLzSFKr8g5mSZIkSZLUjt4LzAG+V3QQSWpl3sEsSZIkSZIkSaqLdzBLkiRJkiRJkupig1mSJEmSJEmSVBcbzJIkSZIkSZKkuthgliRJkiRJkiTVxQazJEmSJEmSJKkuNpglSZIkSZIkSXWxwSxJkiRJkiRJqosNZkmSJEmSJElSXWwwS5IkSZIkSZLqYoNZkiRJkiRJklQXG8ySJEmSJEmSpLrYYJYkSZIkSZIk1cUGsyRJkiRJkiSpLjaYJUmSpBKLiNUi4tSIeDAiZkXE0xHx14h4b9HZJEmSpH5FB5AkSZLUuYhYC7gOWBH4CXA/sAqwMTCiuGSSJElShQ1mSZIkqbwupFKzb5yZTxQdRpIkSVqUDWZJkiSphCJiG+A9wOGZ+URE9Af6Z+bMgqNJkiRJC7gGsyRJklROu1YfH4+Iy4BXgRkRcX9E7FdgLkmSJGmBXnEH85AhQ3L06NFFx5AkSVKLu+22257JzKFF56hav/r4Y+AB4H+AgcAXgQsion9mnrfoSRFxEHAQwAorrLDpBhts0ENxJUmS1JstqVaOzCwiT0ONHTs2J02aVHQMSZIktbiIuC0zxxadAyAirgZ2AB4GxmTma9XnV60+NwsYkZnzlnQN62RJkiQ1ypJqZZfIkCRJksrp1erjL+c3lwEy83ngUmBN3rjLWZIkSSqEDWZJkiSpnKZUH5/s5NgT1cdVeyiLJEmS1CkbzJIkSVI5/aP6OLKTY/Ofe6qHskiSJEmdssEsSZIkldPvgZeB/SJixflPRsSbgD2BBzLzwaLCSZIkSQD9ig4gSZIkaXGZ+XxEfBn4EfD3iPgpMAD4fPXx0CLzSZIkSWCDWZIkSSqtzDwnIp4BvgqcCMwDbgH2zcybCg0nSZIkYYNZkiRJKrXMvBi4uOgckiRJUmdsMEuSSiOOj6Ij9Bp5bBYdQZIkSVIv5uu3xmn1129u8idJkiRJkiRJqosNZkmSJEmSJElSXWwwS5IkSZIkSZLqYoNZkiRJkiRJklQXG8ySJEmSLRGLMwAAIABJREFUJEmSpLrYYJYkSZIkSZIk1aVf0QEkSZIkSZLUtTg+io7Qa+SxWXQEqVfxDmZJkiRJkiRJUl1sMEuSJEmSJEmS6mKDWZIkSZIkSZJUFxvMkiRJkiRJkqS62GCWJEmSJEmSJNXFBrMkSZIkSZIkqS79ig4gSZJUZnF8FB2h18hjs+gIkiRJkhrMO5glSZIkSZIkSXWxwSxJkiRJkiRJqosNZkmSJEmSJElSXWwwS5IkSZIkSZLqYoNZkiRJkiRJklQXG8ySJEmSJEmSpLrYYJYkSZIkSZIk1cUGsyRJkiRJkiSpLjaYJUmSJEmSJEl1scEsSZIkSZIkSaqLDWZJkiRJkiRJUl1sMEuSJEmSJEmS6mKDWZIkSZIkSZJUFxvMkiRJkiRJkqS62GCWJEmSJEmSJNXFBrMkSZIkSZIkqS42mCVJkiRJkiRJdbHBLEmSJEmSJEmqS7+iA0gqThwfRUfoFfLYLDqCJEmSJElSIbyDWZIkSZIkSZJUFxvMkiRJkiRJkqS62GCWJEmSJEmSJNXFNZglSZIkSerAvUoax/1KJKn38w5mSZIkSZIkSVJdbDBLkiRJkiRJkupig1mSJEmSJEmSVBcbzJIkSZIkSZKkuthgliRJkiRJkiTVxQazJEmSJEmSJKkuNpglSZIkSZIkSXUpXYM5IgZFxCMRkRFxZtF5JEmSJEmSJEmdK12DGTgBGFJ0CEmSJEmSJElS10rVYI6IdwFfAI4tOoskSZIkSZIkqWulaTBHRF/gx8BVwMUFx5EkSZIkSZIkLUW/ogN0cCSwAbBX0UEkSZIkSZIkSUtXigZzRKwNHA+ckJmPRsToGs45CDgIYNSoUU3N1whxfBQdodfIY7PoCJIkSZIkSZIozxIZPwQeAb5X6wmZeU5mjs3MsUOHDm1eMkmSJEmSJElSpwq/gzki9gN2BrbJzDlF55EkSZIkSZIk1abQBnNEDKRy1/IVwJMRsW710Ijq4yrV557JzBeKyChJkiRJkiRJ6lzRS2QsDwwFdgMe6PBxXfX4ftXPP1NEOEmSJKlMImJQRDwSERkRZxadR5IkSSp6iYwZwEc7eX4ocBZwFfAT4K6eDCVJkiSV1AnAkKJDSJIkSfN1u8EcESsBWwOjqBS3rwJPAXdm5r3duVZ1zeWLOvkao6t/fCgzFzsuSZIklU0j6+QlXP9dwBeArwLjl/V6kiRJUiPU1GCOiOWBfYADgc15Y2mNqD5mddwzwO+AH2bm3Y2NKkmSJJVLT9XJEdEX+DGVd/hdjA1mSZIklUSXDeaI6AccDhwNrArMAv4O/BN4EniOyjrKqwMbAFsCnwMOjoirgS9l5j3dDZWZj/JGUS5JkiSVSgF18pHV6+zVqO9BkiRJaoSl3cH8H2BtKndK/Az4Q2bO7uqEiFgP2B/4FHBHRByYmec3IKskSZJUFj1WJ0fE2sDxwAmZ+WiH5eQkSZKkwi2twfxvYK/M/FetF8zM+4GjIuI44BAqd25IkiRJvUlP1sk/BB4BvlfL4Ig4CDgIYNSoUbXGkyRJkurSZYM5M/eo98KZ+Rowod7zJUmSpLLqqTo5IvYDdga2qW6QXcv1zwHOARg7dmzWm1OSJEmqRU2b/EmSJEnqWRExkMpdy1cAT0bEutVDI6qPq1SfeyYzXygioyRJktSQBnNEbADsAswEfpWZLzbiupIkSVIrW8Y6eXlgKLBb9WNR+1U/vgKcuoxRJUmSpLp0q8EcEccAnwc2ysznqs/tCFwGDKgO+2pEbJ6ZzzY0qSRJklRSTaqTZwAf7eT5ocBZVDYY/Alw17JkL4M4PoqO0Cvksa6IIkmSel5372DeBfjP/KK56jtAAscCa1LZsOQI4JiGJJQkSZLKr+F1cnXN5YsWfT4iRlf/+FBmLnZckiRJ6kl9ujl+NDB5/icRMQLYFDgrM7+dmYcC1wJ7NiyhJEmSVH6jsU6WJElSG+pug3lVoONdGVtTuSvjjx2euw0YtYy5JEmSpFbSY3VyZj6amVFtWkuSJEmF6m6D+Wne2LUaYDtgDnBrh+cG1HFdSZIkqZVZJ0uSJKktdXcN5juBPSLibcAs4GPA3zLz1Q5jRgNPNCaeJEmS1BKskyVJktSWunsHxcnAKsC/gPuqfx4//2BELAeMAyY1KJ8kSZLUCqyTJUmS1Ja6dQdzZt4YER8APktlTbmfZ+aVHYZsBTwKXNKwhJIkSVLJWSdLkiSpXXV3iQwy8yrgqiUcuxZ457KGkiRJklqNdbIkSZLakZuMSJIkSZIkSZLq0mWDOSLGLsvFI2K5iBizLNeQJEmSysY6WZIkSapY2h3M/4iISyJii+5cNCJWiYgjgIeBj9adTpIkSSon62RJkiSJpa/B/BngRODmiHgA+BVwEzApM5+fPygi+gLrA1sC7wN2B5YDfguc14TckiRJUpGskyVJkiSW0mDOzJ9GxK+BI4CDgWOo7IpNRMwBnqdSIK9cPSWA14HLgFMy85Ym5ZYkSZIKY50sSZIkVSztDmYycwZwUkR8F9gJ2BF4DzAKWB14FXgQuAu4Dvh9Zk5tVmBJkiSpDKyTJUmSpBoazPNl5jzgT9UPSZIkSVgnS5Ikqb0tbZM/SZIkSZIkSZI6ZYNZkiRJkiRJklQXG8ySJEmSJEmSpLrYYJYkSZIkSZIk1cUGsyRJkiRJkiSpLjaYJUmSJEmSJEl1scEsSZIkSZIkSaqLDWZJkiRJkiRJUl361XNSRGwM7AuMAVbIzB2rz48GNgf+kpnPNyijJEmS1BKskyVJktRuut1gjogTgKN44+7n7HC4D/BL4AvAGcucTpIkSWoR1smSJElqR91aIiMiPg58E/gLsAnwnY7HM/NhYBKwR6MCSpIkSWVnnSxJkqR21d01mA8HHgQ+mJl3Aa91MmYy8NZlDSZJkiS1EOtkSZIktaXuNpjfDvwpMzsrmOebBgyrP5IkSZLUcqyTJUmS1Ja622AOYN5SxgwDZtUXR5IkSWpJ1smSJElqS91tMD8AbLWkgxHRF3gPcO+yhJIkSZJajHWyJEmS2lJ3G8y/Ad4VEV9awvFvAOsCv1imVJIkSVJrsU6WJElSW+rXzfETgI8CJ0fE3kACRMSpwHuBscDfgXMaGVKSJEkqOetkSZIktaVuNZgz89WI2A44DfgE0Ld66ItU1py7EDg0M+c2NKUkSZJUYtbJkiRJalfdvYOZzHwR2D8ivghsBqwOvAj8IzOfbnA+SZIkqSVYJ0uSJKkddbvBPF9mPgf8qYFZJEmSpJZnnSxJkqR20t1N/iRJkiRJkiRJAuq4gzkiBgEHApsAI4H+nQzLzNxhGbNJkiRJLcM6WZIkSe2oWw3miNgY+DMwFIguhuayhJIkSZJaiXWyJEmS2lV3l8iYQKVoPhYYDfTPzD6dfPTt8iqSJElS72KdLEmSpLbU3SUytgR+l5nfbkYYSZIkqUVZJ0uSJKktdfcO5leAx5oRRJIkSWph1smSJElqS91tMF8LbNGMIJIkSVILs06WJElSW+pug/koYExEfD0iutq8RJIkSWon1smSJElqS91agzkzH46I9wA3A5+NiDuBFzsfmgc2IqAkSZJUdtbJkiRJalfdajBHxEjgD8Cq1Y+1lzA0AQtnSZIktQXrZEmSJLWrbjWYgQnAesBPgZ8B04C5jQ4lSZIktRjrZEmSJLWl7jaYtwf+lJmfaUYYSZIkqUVZJ0uSJKktdXeTvz7A3c0IIkmSJLUw62RJkiS1pe42mP8OvK0ZQSRJkqQWZp0sSZKkttTdBvPRwLiI+HgzwkiSJEktyjpZkiRJbam7azDvBlwL/DwiPgfcBrzYybjMzBOXNZwkSZLUIqyTJUmS1Ja622A+rsOft6l+dCYBC2dJkiS1i+M6/Nk6WZIkSW2juw3m7ZqSQpIkSWpt1smSJElqS91qMGfm9Y0OEBHrAfsBOwNvAZYDHgJ+C0zIzBmN/pqSJElSIzWjTpYkSZJaQXc3+WuGTwNHUmkqnwB8BbgP+DZwc0QsX2A2SZIkSZIkSdISdHeJjGa4CPhOZnbcBOXsiHiAym7cBwJnFpJMkiRJkiRJkrREXd7BHBHzImJudRmL+Z+/XsPH3FoDZOakRZrL8/26+vi22r8dSZIkqfl6ok6WJEmSWsHS7mC+gcpO1zMX+bwnjKw+Tl/awGfve5aJ4yY2N80y2v/R/YuO0GtM/OvEoiP0Gs7LxnBONo5zsnGcl43jvGycXjYvi6yTJUmSpNLossGcmeO6+rxZIqIvcAwwF/jFEsYcBBwEMGLgiJ6IJUmSJAE9Uye7GbYkSZJaQWR2faNFRHwKuDMz7+qZSBARZwCHAkdl5neWNn7s2LE5adKk5gdbBnF8FB2h18hjvTmoUZyXjeGcbBznZOM4LxvHedk4rTAvI+K2zBxb49im1skR8V3gf4FLgb8Dc4DtgL2Bu4AtM/PVrq7RCnUy+HPWKK3wM9YqnJON47xsHOdl4zgvG8M52TitMieXVCt3uQZz1URgz4YnWoKIOJFKc/mcWprLkiRJUkEm0tw6+SJgZGZ+IjPPyMyzM/NjwP8BG1PZDFuSJEkqVC0N5h4TEccB3wTOAz5XbBpJkiSpOG6GLUmSpFawtE3+ekxEHAscC5wPfCaXtnaHJEmS1J561WbY4GaajdLLNtIslHOycZyXjeO8bBznZWM4Jxun1edkKe5gjohjgOOAC4ADMnNesYkkSZKk8ql1M+yImBQRk+bMmdOj+SRJktR+atnkbx4wofpRs8x8vKYAEf8LnAk8DnwLWLS5PD0z/9LVNVph8xIXPm+cVln4vBU4LxvDOdk4zsnGcV42jvOycVphXnZzk7+m1slL+Jq9bjNs8OesUVrhZ6xVOCcbx3nZOM7LxnFeNoZzsnFaZU4uqVaudYmMI6oftcpuXHuz6uMo4GedHL8e6LLBLEmSJBWkmXXyQtwMW5IkSWVUa3H7EvBCMwJk5v7A/s24tiRJktRkTauTO3IzbEmSJJVVrQ3m72fmCU1NIkmSJLWeptfJboYtSZKkMivFJn+SJEmSFudm2JIkSSq7utZ/kyRJktRc1c2wj6eyGfbVwL4RC22ms9TNsCVJkqRms8EsSZIklZObYUuSJKn0XCJDkiRJKqHM3D8zo4uPcUVnlCRJkpZ6B3Nm2oSWJEmSFmGdLEmSJHkHsyRJkiRJkiSpTjaYJUmSJEmSJEl1scEsSZIkSZIkSaqLDWZJkiRJkiRJUl1sMEuSJEmSJEmS6mKDWZIkSZIkSZJUFxvMkiRJkiRJkqS62GCWJEmSJEmSJNXFBrMkSZIkSZIkqS42mCVJkiRJkiRJdbHBLEmSJEmSJEmqiw1mSZIkSZIkSVJdbDBLkiRJkiRJkupig1mSJEmSJEmSVBcbzJIkSZIkSZKkuthgliRJkiRJkiTVxQazJEmSJEmSJKkuNpglSZIkSZIkSXWxwSxJkiRJkiRJqosNZkmSJEmSJElSXWwwS5IkSZIkSZLqYoNZkiRJkiRJklQXG8ySJEmSJEmSpLrYYJYkSZIkSZIk1cUGsyRJkiRJkiSpLjaYJUmSJEmSJEl1scEsSZIkSZIkSaqLDWZJkiRJkiRJUl1sMEuSJEmSJEmS6mKDWZIkSZIkSZJUl35FB2imOXPmMGXKFGbNmlV0FK7c+cqiI/QakydPLjrCQvr27cvgwYMZMmQIffr4OxtJklR+8+bN45lnnuGFF17g9ddfLzqOtXKDlK1OBlhuueUYOXIk/fv3LzqKJElqkl7dYJ4yZQorrbQSo0ePJiIKzTJj2oxCv35vMmb4mKIjLJCZzJkzh+nTpzNlyhRGjRpVdCRJkqSlmjJlChHB6NGj6d+/v7VyL1GmOhkqtfKzzz7LlClTWHvttYuOI0mSmqRX3245a9YsVl999cILZvVeEcGAAQMYMWIEM2b4wkiSJLWGGTNmMGLECAYMGGCtrKaJCFZfffVSvKNUkiQ1T69uMAMWzOoRLo0hSZJajfWLeoKvxyRJ6v2sKiVJkiRJkiRJdbHBLEmSJEmSJEmqS6/e5K8za566JtNnTG/a9YetMIwnv/xk067f0bT/TuODW36QWx67hX79+nHwRw5mlw/vwp777rlM1z1n/Dn899H/cuIZJ3Z6fI8t9uDoU45mi2226NZ177j1Dr795W/zuxt/t0z5lsVJJ53Eww8/zLnnnltYBkmSpDLqTXUyWCvXw1pZkiTVo+3uYG5m0dyd6++xxR68e/S7eeG5FxZ6ft+d9mWzEZsx7b/TmhGvUO/c4p0LFcx7bLEHt95wa9O+3nXXXcfIkSMXeu6oo46yYJYkSepEWepksFYGa2VJktQ62q7BXCbD3zycP/3+Tws+f3Dyg8yeNbvARK0jM5k3b17RMSRJktQk1sr1s1aWJEk9yQZzgXbda1cuv+jyBZ//8bd/ZLeP7LbQmL9d/Tc+sfMnGLf+OHYbuxvnjD+n5utf+qtL+ei2H2X7DbfnsH0P44kpTyw4duoxp7Lb2N0Yt/44Pvn+T3LHrXcsdO5rs17jG5/7Btuuty37vW8/7r/3/k6/xrx585h45kT23GpPdtxoR75x8Dd48fkXOx172823sdumle/vmMOO4cmpT/KlA77ENm/dhvPPOh+Au2+7m0/v8Wm2G7Md++64L7fdfNuC8w/+yMGc9d2z2HrrrRk0aBAPP/ww5513HmPGjGGllVZinXXW4Uc/+hEAM2bMYJdddmHatGmsuOKKrLjiikybNo3jjjuO/fbb742/o0svZaONNmLw4MGMGzeOyZMnLzg2evRoTj31VDbeeGNWWWUVPvaxjzFr1qya//4lSZJUP2vl7tfKRx99tLWyJEnqcTaYC/S2d72NGS/P4JEHHuH111/nL5f+hV322mWhMcsPWp7jTzueaydfy4TzJ/C783/HdVddt9RrX3fVdZx3xnmcfO7J/PmuP7PJ5ptw9CFHLzi+4Ts25Od//jlX33s179vzfXz94K8vdEfI9X++nh0/sCPX3HsN7/vQ+/jKgV9h7py5i32dX/3kV1x/1fX86KIfccXtV7DSKitx8tEnLzXfCWecwJoj1mT8eeO54YEb+NQhn+KpJ57iyE8dyYFHHMg1917DEcccwdc++zWef/b5Bedd8bsrOOecc3j55ZdZa621WGONNfjjH//ISy+9xHnnnceRRx7J7bffzgorrMCVV17J8OHDeeWVV3jllVcYPnz4Qhnuv/9+9tlnHyZMmMDTTz/Nrrvuyu67785rr722YMxvfvMbrrrqKh555BHuuusuJk6cuNTvTZIkScvOWrn7tfIFF1xgrSxJknqcDeaCzb8z49YbbmX0uqMZuubQhY5vutWmrDtmXfr06cNbN3wrO39wZ26/5falXvfiCy9m/0P3Z+23rk2/fv044PADuP/e+xfcmbHrXrsyeLXB9OvXj/0+tx9zXpvDYw89tuD8MW8fww4f2IF+/fvxiYM+wezZs7n79rsX+zqXXHgJn//a5xk2fBgDBg7goC8dxDWXX8PcuYsX2Etz5cVXstX2W7H1DlvTp08ftthmC8a8Yww3XXPTgjEf2PsDbLTRRvTr14/+/fuz22678Za3vIWIYNttt2XnnXfmxhtvrOnr/frXv2a33XZjp512on///nz5y1/m1Vdf5eabb14w5vDDD2f48OGsttpq7L777tx5553d/r4kSZJUH2vlN9RSK++///7WypIkqcf1KzpAu9v1I7ty0IcPYtrj0xZ7yx/APbffw5knnclD9z3EnDlzmPPaHHbYbYelXvfJKU8y/pjxTDhhwkLPP/XEU7xp5Ju48OwL+cMv/8DT058mIpjx8oyFNlEZNnzYgj/36dOHNd60Bk8/+fRiX+eJKU/w1c98legTC57r27cvzz39HGu8aY2a/g46Xuuay6/hxqvfKHrnzpnLpltt2mkugCuvvJLjjz+e+++/n3nz5jFz5kze/va31/T1pk2bxlprrbXg8z59+vDmN7+ZqVOnLnhuzTXXXPDnQYMGMW1a79tQRpIkqayslRe+1tJq5Te/+c0LnWOtLEmSeoIN5oK9aeSbGD5qODdfezPfGv+txY5/89Bvsvf+e3PahacxcLmBjD9mPC88/0InV1rYsOHDOODwA9jlw7ssduyOW+/g/LPO56xfn8U6669Dnz592H7D7cnMBWOmT3tjl+958+bx1BNPLXbHyPyvc8z3juEdm72j1m95gYhY6PNhw4exy1678M1TvlnTObNnz2avvfbi/PPP54Mf/CD9+/dnzz33XPB9LHr9RQ0fPpy7737jTpPM5L///S8jRozo9vciSZKkxrNWXvha1sqSJKmMXCKjBL516rc46zdnsfyg5Rc7NvOVmaw8eGUGLjeQe++4d6GdtLvy4U9+mIlnTuSh+x4C4JWXXuHqy65ecM2+/foyePXBvD73dX78/R8z4+UZC50/+e7JXHvFtcydO5df/viXDBgwgLe/a/G7Hfb65F6c9f/OWvB2wueffZ7r/3R9TRlXG7IaUx9/4w6IXT68Czf+5UZuue4WXn/9dWbPms1tN9+2UAHf0Wuvvcbs2bMZOnQo/fr148orr+TPf/7zguPDhg3j2Wef5cUXO99IZe+99+byyy/nmmuuYc6cOYwfP56BAwey1VZb1ZRfkiRJzWetXGGtLEmSyqrtGszDVhi29EE9fP2Ro0ey4Ts27PTY1076Gj869Udsu962nPv9c9lx9x1ruuZ2u2zH/xzyPxx9yNGMW38cH9v+Y9z818p6aVuO25KtttuKj7z3I+y+xe4MHDhwsaUntt15W/5y6V/YYcMduOJ3V3DyuSfTr//iN7x//DMfZ5udtuHQfQ5l2/W25YDdD+Ce2++pKeP+h+3PT0/7KduN2Y4Lzr6gspHJT8dz3hnnsfPGO/OBzT7ABT+8YKG7RTpaaaWVOP3009l7771ZddVV+cUvfsEee+yx4PgGG2zAPvvswzrrrMPgwYMXe8ve+uuvz4UXXshhhx3GkCFDuOyyy7jssssYMGBATfklSZJ6kzLWyWCtbK0sSZLKLpZUkLSSsWPH5qRJkxZ7fvLkyYwZM6aARIubNG3xfKrP2OFji47QqTLNt1rF8V2/NVK1yWNb/9/RsnBONo7zsnGcl43TCvMyIm7LzHIWG3VohToZrJUbxTq5cfy3v3Fa4d/+VuG8bBznZWM4JxunVebkkmrltruDWZIkSZIkSZLUGDaYJUmSJEmSJEl1scEsSZIkSZIkSapLr28w94Y1plV+zjNJktRqrF/UE5xnkiT1fr26wdy3b1/mzJlTdAy1gVdffZX+/fsXHUOSJKkm/fv359VXXy06htrAnDlz6NevX9ExJElSE/XqBvPgwYOZPn068+bNKzqKeqnMZObMmUydOpU11lij6DiSJEk1WWONNZg6dSozZ870DlM1zbx585g+fTqrrLJK0VEkSVITleJXyRHRBzgCOBgYDTwN/AY4JjNn1HvdIUOGMGXKFO67776G5FwWz7zwTNEReo3JL04uOsJC+vfvz7Bhw1h55ZWLjiJJknqZZtXJ8+uWadOmleIdf9bKjVG2OhlghRVWYMiQIUXHkCRJTVSKBjPwfeBw4BJgPDCm+vk7I2LHzKzrFuQ+ffowatSoxqVcBhsev2HREXqNPNa7bCRJUttoSp0MlSZzWX5Bbq3cGNbJkiSpCIU3mCNiI+Aw4OLM3KvD848ApwMfB35RUDxJkiSpENbJkiRJagVlWIN5HyCACYs8/2NgJrBfjyeSJEmSimedLEmSpNIrQ4N5M2Ae8I+OT2bmLODO6nFJkiSp3VgnS5IkqfTK0GAeDjyTmbM7OTYVGBIRA3o4kyRJklQ062RJkiSVXmQWuxFERDwE9M/MxXbji4jzgU8Cq2bmC4scOwg4qPrp+sB9zc7aBoYAbuGtsnFeqoyclyob52TjrJWZQ4sOAdbJJeTPmcrIeamycU6qjJyXjdNprVz4Jn9U1o9bYwnHluswZiGZeQ5wTrNCtaOImJSZY4vOIXXkvFQZOS9VNs7JXss6uUT8OVMZOS9VNs5JlZHzsvnKsETGNCpv7xvYybERVN4W+FoPZ5IkSZKKZp0sSZKk0itDg/mfVHJs3vHJiFgO2ASYVEQoSZIkqWDWyZIkSSq9MjSYfw0k8IVFnv8sMAj4eY8nal++lVJl5LxUGTkvVTbOyd7JOrlc/DlTGTkvVTbOSZWR87LJCt/kDyAizgAOBS4BrgDGAIcDNwHbZ+a8AuNJkiRJhbBOliRJUtmVpcHcl8qdGQcBo6ns7Phr4JjMfKXAaJIkSVJhrJMlSZJUdqVoMEuSJEmSJEmSWk8Z1mCWJEmSJEmSJLUgG8ySJEmSJEmSpLrYYJYkSZIkSZIk1aVf0QFUrIhYD9gIWANI4Gngnsx8oNBgalsRMQh4D53MS+CmzJxZYDxJktRGrJVVJtbJkqSycpO/NhQRY4DPAR8Fhs1/uvo4f0JMB34D/CgzJ/dsQrWjiNiFyrx8P5VffsUiQxKYC1wJnJ2ZV/VsQrWranNhHJ2/mLs+M+8vLp3alfNSah5rZZWNdbLKzJpEZeOcLIYN5jYSEW8B/h/wIeBV4EbgFuAh4FkqhcpqwLrAlsB7geWBi4GvZebDBcRWLxcR7wXGA2OBR4E/seR5+W4qhfUo4DbgyMz8W8+nVm8XEcsBBwAHA29n8Rdy8yVwN3A2MDEzZ/VMQrUj56XUXNbKKhvrZJWVNYnKxjlZPBvMbSQiZlP5QToNuDgzZyxl/ArAR4DDgY0yc7nmp1S7iYjXgd8DEzLzxhrP2Rb4ArB7ZrrUjxoqIj4J/B8wgkpz4Uq6fjG3K7A1MBU4KjMvLCC2ejnnpdR81soqG+tklZE1icrGOVkONpjbSER8MDP/0NPnSl2JiHdk5r96+lxpSSJiBpXfaJ+emY/VeM5aVF7MfTYzV2xmPrUn56XUfNbKKhvrZJWRNYmj3ZqcAAAVqUlEQVTKxjlZDjaYJUnqICLWzMwn6zx3WGZOb3QmyXkpSZLKwJpEZeOcLAcbzJIkSZIkSZKkuvQpOoCKExFrRMSALo4PjYhtejKT2ltEbBkRZ0bErRExJSKeqz7eWn3+3UVnVPuKiH4RsXJEuJ6hSsN5KTWPtbLKxDpZZWdNorJxTvYsG8xtKCL2jYgngCeAFyPivIhYvZOhOwN/7dl0akfVf/h/CtwEHEJlcf6pVDbamVr9/BDgbxExMSL6FhZWbSUiPh4Rf4yI6cBs4HlgdkRMrz6/T8ER1Yacl1JzWSurTKyTVWbWJCob52RxXCKjzUTE5lR203wOuB4YCWwO/BfYJTP/3WHsJ4DzM9MiRU0VEUcDJwLfo7JL9pROxowEjqx+fDMzT+rZlGonETEIuBTYHpgJ3EnlRdwsYDkqL+Y2AZYHrqOyU/vMQsKqbTgvpeazVlbZWCerjKxJVDbOyeLZYG4zEfEH4J3A2Mx8qvrcrsAFwFxgp8y8q/q8RbN6REQ8CPw1Mz9bw9hzgXGZuW7zk6ldRcSpwOHAF4EfZ+bsTsYMBA4CxgOnZeZXejal2o3zUmo+a2WVjXWyysiaRGXjnCyeS2S0n02As+cXzACZeQWwJZW3D1wbEZsUFU5taySVu4VqcTOV3z5KzbQ3cHpmntlZcQKQmbMz8wzgDODjPZpO7cp5KTWftbLKxjpZZWRNorJxThbMBnP7GUJlPbmFZOYDwLbAK8DVEfGung6mtjaNygu3WrybTuaw1GBDgck1jv03lX9bpWZzXkrNZ62ssrFOVhlZk6hsnJMFs8HcfqYBa3d2IDMfAcYBLwNXA5v1XCy1uQuBAyPi5Ijo9K6LiBgREacAn66Ol5rpUeD9NY7dtTpearZHcV5KzWatrLKxTlYZPYo1icrlUZyThbLB3H4mAbst6WBmPkqlcH4ROKxnIkl8G7gM+DLweEQ8HhG3RMR11cfHgceBLwGXV8dLzXQOsFdE/CYitoqI/h0PRkT/iNg6In4L7FkdLzWb81JqPmtllY11ssrImkRl45wsmJv8tZmI2A84H9g2M2/sYtxawF+Btdy4RD2luonOvsBYYDgwiMoOsNOAfwK/rK6DKDVVRAQwATi0+tQ84Bkq628OpPKWqvm/pP0BcET6H6qazHkpNZ+1ssrKOlllYk2isnFOFs8Gcxuq7pw5NzNfX8q4FYHVM/OxnkkmSeUSERvS9Yu5X2fmPcUlVDtyXkrNZa0sSbWxJlHZOCeLY4NZkiRJkiRJklQX12CW1FIi4s0RsU3ROSRJkqQysU6WJBXFBrOWKCKujYjzI+ItRWeROvgUlTUPpR4REWtExIAujg/1xZzKICLWjoiXImKPorNI7cBaWSVknaweZ62sVmCd3Hw2mNWVccB+wL8jYkLBWSSpR0XEvhHxBPAE8GJEnBcRq3cydGd8MaceEBGrdfUBrA6sCAzu8Jyk5hmHtbKkNmWtrDKxTi5ev6IDqNTWBlYCtqfyn4LUFBHxqW4Mf2fTgkhVEbE5cAHwHHAJMBL4H2D7iNglM/9dZD61radrGJPAeR3+bK0nNY+1sprOOlllZK2sErJOLpib/EkqXETMo/IPfNR4SmZm3yZGUpuLiD9QeZE2NjOfqj63K5VCei6wU2beVX3+E8D5zkk1W/XfypeBPwCvdzJkJeDDwHXAYwCZeUBP5ZMkNZ51ssrIWlllY51cPLv1kspgBnAnUMvbS/cCPtbcOBKbAGfPL5gBMvOKiNgSuAa4NiJ2zMw7C0uodnQocBKwEXBwZk7qeDAi1qVSOJ+ZmRcXkE+S1HjWySoja2WVjXVywWwwt7GIGAtsBowABgEzganApMz8Z5HZ1Hb+BQzOzN8tbWBEbNADeaQhVNaTW0hmPhAR21JZR+7qiPAt0eoxmXlWRFwCnAXcEhFnA0dl5svzhxSXTup9rJVVEtbJKiNrZZWKdXLxbDC3oYjYHvgBsB6dv9UqI+J+4LDMvLpHw6ld3Q58PiKWz8xXaxhf61sEpXpNo7K25mIy85GIGEe1cAbO78FcanOZ+QTwoYj4EHAG8OGIODIzf1NwNKnXsFZWyVgnq4yslVU61snF6lN0APWsiNgOuApYHjiWyoYkGwFvqT7uDBxH5S6NK6rjpWa7APg2lV1daxnrvFSzTQJ2W9LBzHwUGAe8CBzWM5GkN2TmJcAY4FLglxFxJZX/yyUtA2tllZB1ssrIWlmlZZ1cDDf5azMRcQOwArBNZs7oYtyKwI3AS5m5bU/lk6QyiIj9qNxtsW1m3tjFuLWo3J2xlhuXqCgRsRVwDrA+lZsHPuraclJ9rJUlaemsldUqrJN7jg3mNhMRrwBfzsyzaxj7eeCUzKzlt+WS1KtExEBgbmZ2tgtxx3ErAqtn5mM9k0xaXET0p7K5ySjgp5l5d8GRpJZkrSxJtbFWVquwTu4ZrsHcfl4DVq5x7MrV8ZLUdjJzdo3jXgFeaXIcqUuZOQf4ftE5pF7AWlmSamCtrFZhndwzXIO5/dwAHBkRb+9qUPX4kcD1PZJKqlFEXBsR50eEayhJkqRGs1ZWy7JOliQVxSUy2kxErAfcQuWOi78CfwemArOBgcAI4N28sSD/1pl5XyFhpU5ExLzqH+cAP8zMLxSZR4qIa4EpwPGZ+VDReSRwXkr1slZWK7NOVhlZk6hsnJPNYYO5DUXEOsB3gd2pFMqLmg1cBnzDHzaVTXWjiJWA7YGdM/MDBUdSm/PFnMrIeSnVz1pZrco6WWVkTaKycU42hw3mNhYRg4CNgeHAIGAmMA24u6tdsyVJb/DFnMrIeSktO2tlSVp21iQqG+dkc9hgliRJkiRJkiTVpV/RASSpo4gYC2xGZY3D+XcLTQUmZeY/i8wmSZLaW0SsAhwIXJqZDxadR+3FOlmSVFY2mNtQRAykUhi/DZgO/CIzH+hk3I7AUZm5fQ9HVBuKiO2BHwDrAdHJkIyI+4HDMvPqHg2ntuaLOZWR81IqzBDgFOARwAazeoR1ssrMmkRl45wshktktJnqWnI3UVlPbn5xMgf4VmaevMjYTwDnZ2bfnk2pdhMR2wF/orKu4bm8sWP7LGA53tix/TPAm4D3ZeZfi0mrdlHLiznAF3PqUc5Lqbki4vSlDFkF+CRwJfAQkJl5RNODqW1ZJ6usrElUNs7JYtlgbjMRcRTwbeD/gF8DbwaOATYHfpSZh3QYa4NZPSIibgBWALbpatOciFgRuBF4KTO37al8aj++mFMZOS+l5qvuLJ90/sJ0vo7H01pZzWSdrDKyJlHZOCeLZ4O5zUTEHcB/MnOfDs/1AU4D/hf4SWZ+tvq8DWb1iIh45f+3d/+xftX1Hcefr0pBkVElYz8MY6Kik9FNBijuRyZQCdnYXBNxIcKG6LJRhiI0TCDQUqYzsII0A7Yh0zlmoiOwYNQqUoYGm0FS/qBBFmClc9miFIaIIkL73h/ne/Gm3Hv7vV/u93vO5TwfyTc393s+5/Td5J32fT4/gdVV9bdDtD0TuKKq9ht/ZOorX+bURealNH5JtgEHAGuAW2Zo8lrgDuBMYCNAVW2fVHzqH+tkdZE1ibrGnGzfkrYD0MS9nqYofl5V7aqqs2lmNb8/yT+0Epn67MfA/kO23X/QXhqnXwOun6s4Aaiqp4C/B46cSFTqO/NSGr/DgOtp9lneAOyqqu1TH+C/B+0enfadNE7WyeoiaxJ1jTnZMjuY++dHwNKZLlTVxcA64PQkn8L80OR8HfhwkuVzNRpc/zBw50SiUp/5MqcuMi+lMauqp6tqNfA24CDg/iSrk7iiT22xTlYXWZOoa8zJlrlFRs8k2Qw8VFWnzdFmDc2ywO3AwW6RoXFL8kZgM80/9Hfwk/2SngH24Sf7Jb0D+B7wG1X1H60Eq15I8q80nQsnVNV9c7RbDtwGbK6qlZOKT/1kXkqTNdhG7lxgLc2Bfn8GfBd4EHh3Vd3cXnTqC+tkdZE1ibrGnGyfHcw9k2Qd8CHgoKr6/hztLqEppj24RBOR5HXAx4HfoymWd/cM8AXggqp6eJKxqX98mVMXmZdSO5IcAlwHrAC+BPwucLIdzJoU62R1jTWJusacbJ8dzD2T5FDgDOBfqmrLHtqeBRxVVe+bSHASkGRf4FeA1wD7Aj+kOQn2vj3tpyQtJF/m1EXmpdSeJKcC64EDcQazWmCdrC6xJlHXmJPtsoNZkqQ5+DKnLjIvpXYk2Rt4BfCDqnqu7XgkqW3WJOoac7IddjD3SJLjq+r2Ee9dUVVfW+iYJEmSpC6wVtZilGQZ8H7g1qp6qO14JEn9tKTtADRRG5NsSnLSMCdhJ1maZGWSO2n2m5PGJsk+SVYluTbJmsF2LjO1W5Fk06TjkyRJL3nWylqMfhq4AljediDSlCTLkpyb5A1txyKBOTkJe7UdgCbqCOBK4FZgR5LbgLtpTsV+HAhwAHAocAxwHPBq4KvAW9oIWP0wWMJyF80ylgy+vjDJxVV1+W7Nfxb47UnGp35Ksg/NjKDDge8An62qB2dotwK4sKqOm3CI6iHzUhora2V1TpINe2iyjCY3P5DkWJpD2j80/sikOU0NfGwDnFmvLjAnx8wtMnooyduBVcC7gP2A3ZMgwJPAzcB1VXXPZCNU3yS5EPhL4KPA54BfAC4B3gr8XVWtmtb2vcBnqmqPM4ukUc0y6PEs8IJBD3NSk2JeSpNhrawuSbKLJgczR7Pp18t/+zVuQw58nAZ8mWaQzoEPjZU52T47mHtssPTvSOAwmtOwC3gU2ArcW1W7WgxPPZLkXuCBqjpl2ndLgKuBs4AbqupPBt/baaKxc9BDXWReSpNlrawuSLKNZub8GuCWGZq8FrgDOBPYCFBV2ycVn/rJgQ91jTnZPrfI6LGq2kmz7O/utmNR770euG76F4OXtrOTPAFclORlVXVGK9Gpj04GPldVFw9+35rkKwwGPZIsnRr0kCbIvJQmyFpZHXEYcBnN0u5jgT+vqm9PXUwy9U7/qB3LmqDtzHPgQxozc7JldjBL6oIfAUtnulBVFyfZCVySJIAH/GkSHPRQF5mXktQzVfU0sDrJZ4HrgfuTXApcNRgEkdrgwIe6xpxs2ZK2A5Akmj2QjpntYlWtBS4F/hhYN6GY1G9zDnrQ5OHpST6F/5dqcsxLSeqpqtoCHE1TE68Ftgz2C5cmrqqerqrVwNuAg2gGPlYPthaSJs6cbJ8vH5K64Dbg95P81GwNqmqqmP7FSQWlXnPQQ11kXkpSj1XVrqr6a2A58L/AN4CreOFBlNJEOPChrjEn22MHs6Qu+CfgWuDQuRpV1TrgbOAzkwhKveagh7rIvJQkUVXbqupE4HSa2XpzHWoljZUDH+oac7Id7sEsqXVV9SBwwZBtrxlzOBI0gx5LaQY9tszWqKrWJXkMOGpSganXzEtJ0vOq6sYknwdeAfyg7XjUb1W1DTgxyanAehz4UMvMyclKlR34ktqT5Piqun3Ee1dU1dcWOiZJkiSpbdbJWqyS7M1g4KOqnms7HsmcHD+3yJDUto1JNiU5aZgN+JMsTbIyyZ3AlyYQn3omyfEv4t4VCxmLNMW8lKResk5W5wxTk1TVj6vqe7t35FmTaBzMyW5wBrOkViU5HLgSWAHsoNlj9G6aw6wep1nGcgDNkvBjgOOAVwNfBc6rqvtbCFsvYUmepdmn60rgy1W1cw/tlwInAecAb6+qvccfpfrGvJSk/rFOVhdZk6hrzMlucA9mSa2qqq3ACYOTXVcB7wJO4YUb8Ad4ErgZuK6q7plooOqTI2iKk1uBHUnm8zL3ljYCVi+Yl5LUM9bJ6ihrEnWNOdkBzmCW1CmD5X9HAocBB9IU0I8CW4F7q2pXi+GpR3Z7mdsPX+bUAealJPWXdbK6xJpEXWNOtssOZkmS5uDLnLrIvJQkSV1gTaKuMSfbYQezJEmSJEmSJGkkS9oOQJIkSZIkSZK0ONnBLEmSJEmSJEkaiR3MkiRJkiRJkqSR2MEsSS1IUoPP9iQvn6XNI4M2e81y79RnZ5IdSTYlee88Yvj0tGf8zixt1g6uf2CGa0cn+efB3+GZJE8meTjJF5Kcn+SVw8YiSZIkTbFWlqTFZa89N5EkjdHBwDnAx0e499LBz6XAm4A/AI5NcmRVnTvPZ12e5CtVtXOYxklOBf4RCLAJuAXYCRwCHAWcBNwMPDTPOCRJkqQp1sqStAjYwSxJ7fk/oIALknyyqnbM5+aqWjv99yTHA7cB5yTZUFWPDPmoh4BfBs4Art9T4yT7AtfQxH5CVd0+Q5tfB+b195EkSZKmsVaWpEXCLTIkqT0/BC4D9gfWvNiHDYrXB2hmShw9j1svG8SybsileofTxLx1poJ5EMs3q+qJecQgSZIkTWetLEmLhB3MktSua4CHgT9N8sYFeF4GP2se9/wPsB74OeD8Ido/Nvj5GveOkyRJ0hhZK0vSImAHsyS1qKqeBT5CszfcKHvLPS/JCpr95Qq4Z563Xw58Bzgvyc/voe1/Dp5/IHBXkrOSHJFk7/nGLEmSJM3GWlmSFgc7mCWpZVV1E7AZWJnkN4e9b3Bq9dokH01yE7CRZlbGJ6pq+zxjeIpm6eEraZYBztW2gHcD/wb8KvA3wBbgqST/nuQvkuw/nz9fkiRJmom1siR1n4f8SVI3nAd8E1if5JhBYbonU3vRFfAE8A3ghqq6ccQYPgl8EHhfkqur6r7ZGlbVf9Gcwv1m4J00p2G/ddpnVZJ3VNW2EWORJEmSplgrS1KHOYNZkjqgqjYDN9EUnO8Z8p4MPkuq6oCqOvZFFMxU1U6afeWW0CwDHOaeb1XVhqr6o6r6JeDNNDNMDgauGjUWSZIkaYq1siR1mx3MktQdHwGeBf6qrT3aquqLwCbgxCTvHOH+B4DTBr8et5CxSZIkqdeslSWpo+xglqSOqKqHgWuBQ4CzWwxlNc1SwisY7f+J7w9+Zs5WkiRJ0pCslSWpu+xglqRuWUezR9xFwH4L8cAkn05SSU4fpn1V3QvcSHMoySkzPO+QJB9MsmyGa6GJHeDro0ctSZIkvYC1siR1kIf8SVKHVNXjST7GkPu6DWlqMPG5edxzEXAy8IYZri0DrgauSHIXsJVmJsbP0Cz1ex3wXZrDWCRJkqQFYa0sSd3kDGZJ6p4NwCML+LzlNEXtF4e9oaq+DXxilsvfAlYCNwCvAv6Q5sCT99DMKPkYcPhgjzlJkiRpIVkrS1LHpKrajkGSNCZJXgU8BqyvqvPbjkeSJEnqCmtlSVoYzmCWpJe236I5bfvKtgORJEmSOsZaWZIWgDOYJUmSJEmSJEkjcQazJEmSJEmSJGkkdjBLkiRJkiRJkkZiB7MkSZIkSZIkaSR2MEuSJEmSJEmSRmIHsyRJkiRJkiRpJHYwS5IkSZIkSZJGYgezJEmSJEmSJGkk/w9DcZ4w2jOFuAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1440x864 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "for i in range(1,3):\n",
    "    print(\"Para Tipo = \" + str(i))\n",
    "    \n",
    "    j = 0\n",
    "    f=plt.figure(figsize=(20, 12))\n",
    "    numC =2 \n",
    "    for numP in values:\n",
    "\n",
    "        ax=f.add_subplot(positions[j])\n",
    "        \n",
    "        t_par = grouped_aggL['Ti'].loc[(0,i,100,numP,slice(None))].mean()\n",
    "        grouped_aggL['Ti'].loc[(1,i,100,numP,slice(None))].plot(kind='bar',color='green', ax=ax) \n",
    "        \n",
    "        ax.axhline(y=t_par, xmin=0, xmax=1, color='purple')\n",
    "        ax.set_ylabel(\"Time (s)\", fontsize=20)\n",
    "        ax.set_xlabel(\"NP,NS\", fontsize=20)\n",
    "        ax.tick_params(axis='both', which='major', labelsize=18)\n",
    "        ax.tick_params(axis='both', which='minor', labelsize=22)\n",
    "        \n",
    "        locs, labels_aux = plt.xticks()\n",
    "        plt.xticks(locs, labels=labelsP[j], rotation=90)\n",
    "        \n",
    "        \n",
    "        blue_patch = mpatches.Patch(color='green', label='Malleable iteration')\n",
    "        handles=[blue_patch]\n",
    "        plt.legend(handles=handles, loc='lower left', fontsize=12)\n",
    "        \n",
    "        f.tight_layout()\n",
    "        f.savefig(\"Images/Iter_type=\"+dist_names[i]+\"_Perc_type=\"+str(100)+\".png\", format=\"png\")\n",
    "        j = (j+1)%5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['N', '%Async', 'Groups', 'Dist', 'Matrix', 'CommTam', 'Time', 'Iters',\n",
       "       'TE', 'S'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfG.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "def conv_index_to_bins(index):\n",
    "    \"\"\"Calculate bins to contain the index values.\n",
    "    The start and end bin boundaries are linearly extrapolated from \n",
    "    the two first and last values. The middle bin boundaries are \n",
    "    midpoints.\n",
    "\n",
    "    Example 1: [0, 1] -> [-0.5, 0.5, 1.5]\n",
    "    Example 2: [0, 1, 4] -> [-0.5, 0.5, 2.5, 5.5]\n",
    "    Example 3: [4, 1, 0] -> [5.5, 2.5, 0.5, -0.5]\"\"\"\n",
    "    assert index.is_monotonic_increasing or index.is_monotonic_decreasing\n",
    "\n",
    "    # the beginning and end values are guessed from first and last two\n",
    "    start = index[0] - (index[1]-index[0])/2\n",
    "    end = index[-1] + (index[-1]-index[-2])/2\n",
    "\n",
    "    # the middle values are the midpoints\n",
    "    middle = pd.DataFrame({'m1': index[:-1], 'p1': index[1:]})\n",
    "    middle = middle['m1'] + (middle['p1']-middle['m1'])/2\n",
    "\n",
    "    if isinstance(index, pd.DatetimeIndex):\n",
    "        idx = pd.DatetimeIndex(middle).union([start,end])\n",
    "    elif isinstance(index, (pd.Float64Index,pd.RangeIndex,pd.Int64Index)):\n",
    "        idx = pd.Float64Index(middle).union([start,end])\n",
    "    else:\n",
    "        print('Warning: guessing what to do with index type %s' % \n",
    "              type(index))\n",
    "        idx = pd.Float64Index(middle).union([start,end])\n",
    "\n",
    "    return idx.sort_values(ascending=index.is_monotonic_increasing)\n",
    "\n",
    "def calc_df_mesh(df):\n",
    "    \"\"\"Calculate the two-dimensional bins to hold the index and \n",
    "    column values.\"\"\"\n",
    "    return np.meshgrid(conv_index_to_bins(df.index),\n",
    "                       conv_index_to_bins(df.columns))\n",
    "\n",
    "def heatmap(df):\n",
    "    \"\"\"Plot a heatmap of the dataframe values using the index and \n",
    "    columns\"\"\"\n",
    "    X,Y = calc_df_mesh(df)\n",
    "    c = plt.pcolormesh(X, Y, df.values.T)\n",
    "    plt.colorbar(c)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1296x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "f=plt.figure(figsize=(18, 10))\n",
    "#for numP in values:\n",
    "\n",
    "x = np.arange(len(labelsP_J))\n",
    "\n",
    "width = 0.4\n",
    "middle = 0\n",
    "ax=f.add_subplot(111)\n",
    "\n",
    "for dist in [1,2]:\n",
    "    dist_index=dist-1\n",
    "    sumaTP_TM = np.add(TP_data[dist_index], TM_data[dist_index])\n",
    "    bar_res = np.add(sumaTP_TM, TH_data[dist_index])\n",
    "\n",
    "    sumaTP_TM_A = np.add(TP_A_data[dist_index], TM_A_data[dist_index])\n",
    "    sumaTP_TM_A = np.add(sumaTP_TM_A, TH_A_data[dist_index])\n",
    "    \n",
    "    bar_res = np.divide(bar_res, sumaTP_TM_A)\n",
    "    bar_res = (bar_res-1)*100\n",
    "\n",
    "    supper = np.ma.masked_where(bar_res < middle, bar_res)\n",
    "    slower = np.ma.masked_where(bar_res > middle, bar_res)\n",
    "\n",
    "    plt.ylim(min(bar_res)-0.1, max(bar_res)+1) #FIXME Error cuando el max o min de dist=1 es mayor que el de dist=2\n",
    "\n",
    "    offset = -width/2 # Best Fit\n",
    "    patch = \"\"\n",
    "    if dist == 2:\n",
    "        offset = (width/2) # Worst Fit\n",
    "        patch = \"\\\\/...\"\n",
    "        \n",
    "    ax.bar(x+offset, supper, width, color=\"orange\", hatch=patch)\n",
    "    ax.bar(x+offset, slower, width, color=\"cyan\", hatch=patch)\n",
    "\n",
    "\n",
    "ax.set_ylabel(\"Porcentual difference(%)\", fontsize=20)\n",
    "ax.set_xlabel(\"NP, NC\", fontsize=20)\n",
    "plt.xticks(x, labelsP_J, rotation=90)\n",
    "\n",
    "\n",
    "orange_Bf_patch = mpatches.Patch(facecolor='orange', label='Best Fit AC')\n",
    "blue_Bf_patch = mpatches.Patch(facecolor='cyan', label='Best Fit SC')\n",
    "orange_Wf_patch = mpatches.Patch(hatch='\\\\/...', facecolor='orange', label='Worst Fit AC')\n",
    "blue_Wf_patch = mpatches.Patch(hatch='\\\\/...', facecolor='cyan', label='Worst Fit SC')\n",
    "handles=[orange_Bf_patch, blue_Bf_patch, orange_Wf_patch, blue_Wf_patch]\n",
    "plt.legend(handles=handles, loc='lower left', fontsize=24)\n",
    "\n",
    "ax.axhline((middle), color='black')\n",
    "ax.axvline((3.5), color='black')\n",
    "ax.axvline((7.5), color='black')\n",
    "ax.axvline((11.5), color='black')\n",
    "    \n",
    "ax.tick_params(axis='both', which='major', labelsize=24)\n",
    "ax.tick_params(axis='both', which='minor', labelsize=22)\n",
    "    #ax.axvline(4)\n",
    "    \n",
    "f.tight_layout()\n",
    "f.savefig(\"Images/EX_Difference.png\", format=\"png\")\n",
    "j = (j+1)%5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1440x864 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "f=plt.figure(figsize=(20, 12))\n",
    "#for numP in values:\n",
    "\n",
    "x = np.arange(len(labelsP_J))\n",
    "\n",
    "width = 0.4/2\n",
    "sumaTP_TM = np.add(TP_data, TM_data).tolist()\n",
    "sumaTP_TM_A = np.add(TP_A_data, TM_A_data).tolist()\n",
    "\n",
    "ax=f.add_subplot(111)\n",
    "\n",
    "ax.bar(x+width/2, TP_data, width, hatch=\"O\", color='blue')\n",
    "ax.bar(x+width/2, TM_data, width, hatch=\"O\", bottom=TP_data,color='orange')\n",
    "ax.bar(x+width/2, TH_data, width, hatch=\"O\", bottom=sumaTP_TM, color='green')\n",
    "\n",
    "ax.bar(x+width*1.5, TP_data, width, hatch=\"+O\",color='blue')\n",
    "ax.bar(x+width*1.5, TM_data, width, hatch=\"+O\",bottom=TP_data,color='orange')\n",
    "ax.bar(x+width*1.5, TH_data, width, hatch=\"+O\",bottom=sumaTP_TM, color='green')\n",
    "\n",
    "ax.bar(x-width/2, TP_A_data, width, hatch=\"\\\\/...\", color='blue')\n",
    "ax.bar(x-width/2, TM_A_data, width, bottom=TP_A_data, hatch=\"\\\\/...\", color='orange')\n",
    "ax.bar(x-width/2, TH_A_data, width, bottom=sumaTP_TM_A, hatch=\"\\\\/...\", color='green')\n",
    "\n",
    "ax.bar(x-width*1.5, TP_A_data, width, hatch=\"X\", color='blue')\n",
    "ax.bar(x-width*1.5, TM_A_data, width, bottom=TP_A_data, hatch=\"X\", color='orange')\n",
    "ax.bar(x-width*1.5, TH_A_data, width, bottom=sumaTP_TM_A, hatch=\"X\", color='green')\n",
    "\n",
    "ax.set_ylabel(\"Time(s)\", fontsize=20)\n",
    "ax.set_xlabel(\"NP, NC\", fontsize=20)\n",
    "plt.xticks(x, labelsP_J, rotation=90)\n",
    "\n",
    "blue_Spatch = mpatches.Patch(color='blue', label='Parents SC')\n",
    "orange_Spatch = mpatches.Patch(color='orange', label='Resize SC')\n",
    "green_Spatch = mpatches.Patch(color='green', label='Children SC')\n",
    "blue_Apatch = mpatches.Patch(hatch='\\\\/...', facecolor='blue', label='Parents AC')\n",
    "orange_Apatch = mpatches.Patch(hatch='\\\\/...', facecolor='orange', label='Resize AC')\n",
    "green_Apatch = mpatches.Patch(hatch='\\\\/...', facecolor='green', label='Children AC')\n",
    "\n",
    "\n",
    "handles=[blue_Spatch,orange_Spatch,green_Spatch,blue_Apatch,orange_Apatch,green_Apatch]\n",
    "\n",
    "plt.legend(handles=handles, loc='upper right', fontsize=21)\n",
    "    \n",
    "ax.axvline((3.5), color='black')\n",
    "ax.axvline((7.5), color='black')\n",
    "ax.axvline((11.5), color='black')\n",
    "    \n",
    "ax.tick_params(axis='both', which='major', labelsize=24)\n",
    "ax.tick_params(axis='both', which='minor', labelsize=22)\n",
    "    #ax.axvline(4)\n",
    "    \n",
    "f.tight_layout()\n",
    "f.savefig(\"Images/EX_Partitions_\"+dist_names[dist]+\".png\", format=\"png\")\n",
    "j = (j+1)%5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0.   0.01 0.02 0.03 0.04 0.05 0.06 0.07 0.08 0.09 0.1  0.11 0.12 0.13\n",
      " 0.14 0.15 0.16 0.17 0.18 0.19 0.2  0.21 0.22 0.23 0.24 0.25 0.26 0.27\n",
      " 0.28 0.29 0.3  0.31 0.32 0.33 0.34 0.35 0.36 0.37 0.38 0.39 0.4  0.41\n",
      " 0.42 0.43 0.44 0.45 0.46 0.47 0.48 0.49 0.5  0.51 0.52 0.53 0.54 0.55\n",
      " 0.56 0.57 0.58 0.59 0.6  0.61 0.62 0.63 0.64 0.65 0.66 0.67 0.68 0.69\n",
      " 0.7  0.71 0.72 0.73 0.74 0.75 0.76 0.77 0.78 0.79 0.8  0.81 0.82 0.83\n",
      " 0.84 0.85 0.86 0.87 0.88 0.89 0.9  0.91 0.92 0.93 0.94 0.95 0.96 0.97\n",
      " 0.98 0.99 1.   1.01 1.02 1.03 1.04 1.05 1.06 1.07 1.08 1.09 1.1  1.11\n",
      " 1.12 1.13 1.14 1.15 1.16 1.17 1.18 1.19 1.2  1.21 1.22 1.23 1.24 1.25\n",
      " 1.26 1.27 1.28 1.29 1.3  1.31 1.32 1.33 1.34 1.35 1.36 1.37 1.38 1.39\n",
      " 1.4  1.41 1.42 1.43 1.44 1.45 1.46 1.47 1.48 1.49 1.5  1.51 1.52 1.53\n",
      " 1.54 1.55 1.56 1.57 1.58 1.59 1.6  1.61 1.62 1.63 1.64 1.65 1.66 1.67\n",
      " 1.68 1.69 1.7  1.71 1.72 1.73 1.74 1.75 1.76 1.77 1.78 1.79 1.8  1.81\n",
      " 1.82 1.83 1.84 1.85 1.86 1.87 1.88 1.89 1.9  1.91 1.92 1.93 1.94 1.95\n",
      " 1.96 1.97 1.98 1.99]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "t = np.arange(0.0, 2.0, 0.01) # Vector de 2/0.01 elementos -- X\n",
    "s = np.sin(2 * np.pi * t) # Vector Y\n",
    "print(t)\n",
    "\n",
    "upper = 0.77\n",
    "lower = -0.77\n",
    "\n",
    "supper = np.ma.masked_where(s < upper, s)\n",
    "slower = np.ma.masked_where(s > lower, s)\n",
    "smiddle = np.ma.masked_where((s < lower) | (s > upper), s)\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "ax.plot(t, smiddle, t, slower, t, supper)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}