EG2_Rh_April.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Welcome to JupyROOT 6.22/06\n"
     ]
    }
   ],
   "source": [
    "import ROOT\n",
    "from ROOT import TFile\n",
    "import numpy as np\n",
    "import matplotlib as mpl\n",
    "import matplotlib.pyplot as plt\n",
    "import copy\n",
    "import pandas as pd \n",
    "import time\n",
    "import root_pandas as rpd\n",
    "from root_pandas import read_root\n",
    "\n",
    "#mpl.rcParams['figure.figsize'] = 6.2,3.5\n",
    "#mpl.rcParams['axes.labelsize'] = 17\n",
    "#mpl.rcParams['lines.linewidth'] = 3\n",
    "#mpl.rcParams['lines.markersize'] = 6\n",
    "#mpl.rcParams['legend.fontsize']= 15\n",
    "\n",
    "\n",
    "\n",
    "mpl.rcParams.update({'font.size': 18})\n",
    "mpl.rcParams.update({'legend.fontsize': 20})\n",
    "mpl.rcParams.update({'xtick.labelsize': 18}) \n",
    "mpl.rcParams.update({'ytick.labelsize': 18}) \n",
    "mpl.rcParams.update({'text.usetex' : False})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "4\n",
      "[0.0253995  0.0391139  0.0602334  0.0927563  0.14284    0.21996599\n",
      " 0.338736   0.52163601 0.80329299 1.23703003]\n",
      "5\n",
      "[0.0253995  0.0391139  0.0602334  0.0927563  0.14284    0.21996599\n",
      " 0.338736   0.52163601 0.80329299 1.23703003]\n",
      "6\n",
      "[0.0253995  0.0391139  0.0602334  0.0927563  0.14284    0.21996599\n",
      " 0.338736   0.52163601 0.80329299 1.23703003]\n",
      "7\n",
      "[0.0253995  0.0391139  0.0602334  0.0927563  0.14284    0.21996599\n",
      " 0.338736   0.52163601 0.80329299 1.23703003]\n",
      "8\n",
      "[0.0253995  0.0391139  0.0602334  0.0927563  0.14284    0.21996599\n",
      " 0.338736   0.52163601 0.80329299 1.23703003]\n",
      "9\n",
      "[0.0253995  0.0391139  0.0602334  0.0927563  0.14284    0.21996599\n",
      " 0.338736   0.52163601 0.80329299 1.23703003]\n",
      "TFile: name=cronin_effect_piPlus.root, title=, option=READ\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "import ROOT\n",
    "from ROOT import TFile\n",
    "file_pip = TFile.Open('cronin_effect_piPlus.root')\n",
    "file_pip.Print()\n",
    "ydata = {}\n",
    "xdata = {} \n",
    "erry={}\n",
    "for zbin in range(4,10):\n",
    "    print(zbin)\n",
    "    data = file_pip.Get('g_zh_%i_C'%(zbin))\n",
    "    #data.Print()\n",
    "    ydata['C_pip_%ibin'%(zbin)] =  np.array(data.GetY(),copy=True)\n",
    "    xdata['C_pip_%ibin'%(zbin)] =  np.array(data.GetX(),copy=True)\n",
    "    erry['C_pip_%ibin'%(zbin)] =  np.array(data.GetEY(),copy=True)\n",
    "    del data\n",
    "    print(xdata['C_pip_%ibin'%(zbin)])\n",
    "    data = file_pip.Get('g_zh_%i_Fe'%(zbin))\n",
    "    #data.Print()\n",
    "    ydata['Fe_pip_%ibin'%(zbin)] =  np.array(data.GetY(),copy=True)\n",
    "    xdata['Fe_pip_%ibin'%(zbin)] =  np.array(data.GetX(),copy=True)\n",
    "    erry['Fe_pip_%ibin'%(zbin)] =  np.array(data.GetEY(),copy=True)\n",
    "    del data\n",
    "    data = file_pip.Get('g_zh_%i_Pb'%(zbin))\n",
    "    #data.Print()\n",
    "    ydata['Pb_pip_%ibin'%(zbin)] =  np.array(data.GetY(),copy=True)\n",
    "    xdata['Pb_pip_%ibin'%(zbin)] =  np.array(data.GetX(),copy=True)\n",
    "    erry['Pb_pip_%ibin'%(zbin)] =  np.array(data.GetEY(),copy=True)\n",
    "    \n",
    " \n",
    "file_pip.Close()\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "4\n",
      "[0.0253995  0.0391139  0.0602334  0.0927563  0.14284    0.21996599\n",
      " 0.338736   0.52163601 0.80329299 1.23703003]\n",
      "5\n",
      "[0.0253995  0.0391139  0.0602334  0.0927563  0.14284    0.21996599\n",
      " 0.338736   0.52163601 0.80329299 1.23703003]\n",
      "6\n",
      "[0.0253995  0.0391139  0.0602334  0.0927563  0.14284    0.21996599\n",
      " 0.338736   0.52163601 0.80329299 1.23703003]\n",
      "7\n",
      "[0.0253995  0.0391139  0.0602334  0.0927563  0.14284    0.21996599\n",
      " 0.338736   0.52163601 0.80329299 1.23703003]\n",
      "8\n",
      "[0.0253995  0.0391139  0.0602334  0.0927563  0.14284    0.21996599\n",
      " 0.338736   0.52163601 0.80329299 1.23703003]\n",
      "9\n",
      "[0.0253995  0.0391139  0.0602334  0.0927563  0.14284    0.21996599\n",
      " 0.338736   0.52163601 0.80329299 1.23703003]\n",
      "TFile: name=cronin_effect_piMinus.root, title=, option=READ\n"
     ]
    }
   ],
   "source": [
    "   \n",
    "## pi-    \n",
    "file_pim = TFile.Open('cronin_effect_piMinus.root')\n",
    "file_pim.Print()\n",
    "for zbin in range(4,10):\n",
    "    print(zbin)\n",
    "    data = file_pim.Get('g_zh_%i_C'%(zbin))\n",
    "    #data.Print()\n",
    "    ydata['C_pim_%ibin'%(zbin)] =  np.array(data.GetY(),copy=True)\n",
    "    xdata['C_pim_%ibin'%(zbin)] =  np.array(data.GetX(),copy=True)\n",
    "    erry['C_pim_%ibin'%(zbin)] =  np.array(data.GetEY(),copy=True)\n",
    "    \n",
    "    print(xdata['C_pim_%ibin'%(zbin)])\n",
    "    del data\n",
    "    data = file_pim.Get('g_zh_%i_Fe'%(zbin))\n",
    "    #data.Print()\n",
    "    ydata['Fe_pim_%ibin'%(zbin)] =  np.array(data.GetY(),copy=True)\n",
    "    xdata['Fe_pim_%ibin'%(zbin)] =  np.array(data.GetX(),copy=True)\n",
    "    erry['Fe_pim_%ibin'%(zbin)] =  np.array(data.GetEY(),copy=True)\n",
    "    del data\n",
    "    data = file_pim.Get('g_zh_%i_Pb'%(zbin))\n",
    "    #data.Print()\n",
    "    ydata['Pb_pim_%ibin'%(zbin)] =  np.array(data.GetY(),copy=True)\n",
    "    xdata['Pb_pim_%ibin'%(zbin)] =  np.array(data.GetX(),copy=True)\n",
    "    erry['Pb_pim_%ibin'%(zbin)] =  np.array(data.GetEY(),copy=True)\n",
    "    \n",
    "file_pim.Close()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Rh integrated data for pi+ and pi-"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10\n",
      "10\n",
      "10\n",
      "10\n",
      "10\n",
      "10\n",
      "8\n",
      "8\n",
      "8\n",
      "8\n",
      "8\n",
      "8\n",
      "8\n"
     ]
    }
   ],
   "source": [
    "x_data = np.array([0.05,0.15,0.25,0.35,0.45,0.55,0.65,0.75,0.85,0.95])\n",
    "y_data = {}\n",
    "erry_data  ={}\n",
    "\n",
    "y_data['pip_C'] = np.array([1.14377 , 0.991528 , 0.902358 , 0.853406 , 0.837642 , 0.828422 , 0.811364 , 0.746689 , 0.76447 , 0.674661])\n",
    "erry_data['pip_C'] = np.array([0.00311613 , 0.00157512 , 0.001843 , 0.00229271 , 0.00291008 , 0.00359768 , 0.00431984 , 0.00496413 , 0.00650761 , 0.00752696])\n",
    "y_data['pip_Fe'] = np.array([1.16785 , 0.914393 , 0.758705 , 0.683655 , 0.642149 , 0.625825 , 0.598528 , 0.540816 , 0.527262 , 0.431077])\n",
    "erry_data['pip_Fe'] = np.array([0.00285128 , 0.00131102 , 0.00141581 , 0.00169536 , 0.00206393 , 0.00249893 , 0.00292176 , 0.00328728 , 0.00410943 , 0.00449481 ])\n",
    "y_data['pip_Pb'] = np.array([0.958606 , 0.719983 , 0.57628 , 0.503447 , 0.464043 , 0.449215 , 0.430703 , 0.386296 , 0.374475 , 0.269722  ])\n",
    "erry_data['pip_Pb'] = np.array([0.00273899 , 0.00124261 , 0.00132827 , 0.00159042 , 0.00194019 , 0.00237144 , 0.00283215 , 0.00326646 , 0.00418617 , 0.0044482])\n",
    "\n",
    "for key in y_data.keys():\n",
    "    print(len(y_data[key]))\n",
    "    print(len(x_data))\n",
    "    \n",
    "    \n",
    "x_data_pim = np.array([0.05,0.15,0.25,0.35,0.45,0.55,0.65,0.75])\n",
    "\n",
    "y_data['pim_C'] = np.array([ 1.14172 , 0.992301 , 0.904382 , 0.858762 , 0.814561 , 0.796786 , 0.765917 , 0.761169])\n",
    "erry_data['pim_C'] = np.array([0.0054489 , 0.00266114 , 0.00303142 , 0.00430438 , 0.00651458 , 0.00980551 , 0.0135989 , 0.0204994 ])\n",
    "\n",
    "y_data['pim_Fe'] = np.array([1.18926 , 0.949964 , 0.802236 , 0.717104 , 0.656101 , 0.61487 , 0.593029 , 0.601603])\n",
    "erry_data['pim_Fe'] = np.array([0.00532453 , 0.00237637 , 0.00250118 , 0.00334693 , 0.00490003 , 0.00705277 , 0.00966497 , 0.0145691 ])\n",
    "\n",
    "y_data['pim_Pb'] = np.array([1.07461 , 0.826597 , 0.668954 , 0.571658 , 0.511301 , 0.481163 , 0.470438 , 0.444172]) \n",
    "erry_data['pim_Pb'] = np.array([0.00523426 , 0.00230227 , 0.00241594 , 0.00321067 , 0.00467534 , 0.00683594 , 0.00997877 , 0.0146861 ])\n",
    "\n",
    "\n",
    "print(len(x_data_pim))\n",
    "print(len(y_data['pim_C']))\n",
    "print(len(y_data['pim_Fe']))\n",
    "print(len(y_data['pim_Pb']))\n",
    "print(len(erry_data['pim_C']))\n",
    "print(len(erry_data['pim_Fe']))\n",
    "print(len(erry_data['pim_Pb']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "def applyCut(inputDataframe, cut, text=None):\n",
    "    nbeforecut = inputDataframe.shape[0]\n",
    "    if nbeforecut>0:\n",
    "        cutDataframe = inputDataframe.query(cut)\n",
    "        if text:\n",
    "            print (text, cutDataframe.shape[0], ' (%2.2f '%(100.0*cutDataframe.shape[0]/nbeforecut), '%)')\n",
    "    return cutDataframe\n",
    "def applyHadronCuts(fullDataframe,name='default',isMC=False): \n",
    "    dataframe = fullDataframe\n",
    "    print ('Entries before cut ', dataframe.shape[0])\n",
    "    dataframe.eval('inelasticity = Nu/5.014', inplace=True)\n",
    "    dataframe.eval('E = z*Nu', inplace=True)\n",
    "    dataframe.eval('P = sqrt(E*E-0.1396*0.1396)', inplace=True)\n",
    "    dataframe.eval('Pkaon = sqrt(E*E-0.493677*0.493677)', inplace=True)\n",
    "\n",
    "    dataframe.eval('T = E-0.1396', inplace=True)\n",
    "    dataframe.eval('pt2 = pt*pt', inplace=True)\n",
    "\n",
    "    #dataframe = applyCut(dataframe, 'Q2>1.0 and Q2<1.25', ' 1.0 <Q2<1.25 :')\n",
    "    dataframe = applyCut(dataframe, 'Nu>2.2 and Nu<4.25',  ' 2.2 <Nu<4.25')\n",
    "    dataframe = applyCut(dataframe, 'P <2.7 ', 'P<2.7 ')\n",
    "    dataframe = applyCut(dataframe, 'P >0.2 ', 'P>0.2 ')\n",
    "\n",
    "    dataframe = applyCut(dataframe, 'inelasticity<0.85','inelasticity < 0.85')\n",
    "    return dataframe\n",
    "\n",
    "def applyElectronCuts(fullDataframe,name='default',isMC=False): \n",
    "    dataframe = fullDataframe\n",
    "    print ('Entries before cut ', dataframe.shape[0])\n",
    "    dataframe.eval('inelasticity = Nu/5.014', inplace=True)\n",
    "    dataframe = applyCut(dataframe, 'Q2>1.0 and Q2<4.00', ' 1.0 <Q2<4.00 :')\n",
    "    dataframe = applyCut(dataframe, 'Nu>2.2 and Nu<4.25',  ' 2.2 <Nu<4.25')\n",
    "    dataframe = applyCut(dataframe, 'inelasticity<0.85','inelasticity < 0.85')\n",
    "    return dataframe\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "def getRatio(df_A,df_D,df_electron_A,df_electron_D, variable='z',event_cut='Q2>1.0',mybins=None,hadron_cut = ' and P>0',minz=0.05,maxz=1.0,nbins=9):\n",
    "    \n",
    "    \n",
    "    norm_A = df_electron_A.query(event_cut).shape[0]\n",
    "    norm_D = df_electron_D.query(event_cut).shape[0]\n",
    "    #print ('Number of electron A', norm_A)\n",
    "    #print ('Number of electron D', norm_D)\n",
    "   # \n",
    "    #if(mybins==None):  \n",
    "    #    mybins=np.logspace(np.log10(minz), np.log10(maxz),nbins)\n",
    "    \n",
    "    y_A, x_conditional = np.histogram(df_A.query(event_cut+hadron_cut)[variable],bins=mybins)\n",
    "    y_D, x_conditional = np.histogram(df_D.query(event_cut+hadron_cut)[variable],bins=mybins)\n",
    "    x_conditional = (x_conditional[1:] + x_conditional[:-1])/2.0\n",
    "    err_A = np.true_divide(np.sqrt(y_A),y_A)\n",
    "    err_D = np.true_divide(np.sqrt(y_D),y_D)\n",
    "    y_A = np.true_divide(y_A,norm_A)\n",
    "    y_D = np.true_divide(y_D,norm_D)\n",
    "    ratio_conditional = np.true_divide(y_A,y_D)\n",
    "    error_conditional = np.multiply(ratio_conditional, np.sqrt(np.power(err_A,2.0) + np.power(err_D,2.0)))\n",
    "    \n",
    "    \n",
    "    return ratio_conditional,error_conditional,x_conditional"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Get data from Ntuples to dataframes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "#this needs to be read in chunks otherwise it uses all memory. (from https://github.com/scikit-hep/root_pandas)\n",
    "def getdatainChunks(filename,treename,maxnumber=1e9):\n",
    "    dataframe =pd.DataFrame()\n",
    "    for df in read_root(filename, treename, chunksize=100000) :\n",
    "        #print df.shape[0]\n",
    "        print ('processed a chunk')\n",
    "        dataframe = pd.concat([dataframe,df])\n",
    "        print(dataframe.shape[0])\n",
    "        if(dataframe.shape[0]>maxnumber):\n",
    "            break\n",
    "    \n",
    "    print (dataframe.shape[0])\n",
    "    return dataframe\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = {}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## GiBUU "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "D\n",
      " hadron\n",
      "processed a chunk\n",
      "100000\n",
      "processed a chunk\n",
      "200000\n",
      "processed a chunk\n",
      "300000\n",
      "processed a chunk\n",
      "400000\n",
      "processed a chunk\n",
      "500000\n",
      "processed a chunk\n",
      "600000\n",
      "processed a chunk\n",
      "700000\n",
      "processed a chunk\n",
      "800000\n",
      "processed a chunk\n",
      "900000\n",
      "processed a chunk\n",
      "1000000\n",
      "processed a chunk\n",
      "1100000\n",
      "processed a chunk\n",
      "1200000\n",
      "processed a chunk\n",
      "1300000\n",
      "processed a chunk\n",
      "1400000\n",
      "processed a chunk\n",
      "1500000\n",
      "processed a chunk\n",
      "1600000\n",
      "processed a chunk\n",
      "1700000\n",
      "processed a chunk\n",
      "1800000\n",
      "processed a chunk\n",
      "1900000\n",
      "processed a chunk\n",
      "2000000\n",
      "processed a chunk\n",
      "2100000\n",
      "processed a chunk\n",
      "2200000\n",
      "processed a chunk\n",
      "2300000\n",
      "processed a chunk\n",
      "2400000\n",
      "processed a chunk\n",
      "2500000\n",
      "processed a chunk\n",
      "2600000\n",
      "processed a chunk\n",
      "2700000\n",
      "processed a chunk\n",
      "2800000\n",
      "processed a chunk\n",
      "2900000\n",
      "processed a chunk\n",
      "3000000\n",
      "processed a chunk\n",
      "3100000\n",
      "processed a chunk\n",
      "3200000\n",
      "processed a chunk\n",
      "3300000\n",
      "processed a chunk\n",
      "3400000\n",
      "processed a chunk\n",
      "3500000\n",
      "processed a chunk\n",
      "3600000\n",
      "processed a chunk\n",
      "3700000\n",
      "processed a chunk\n",
      "3800000\n",
      "processed a chunk\n",
      "3900000\n",
      "processed a chunk\n",
      "4000000\n",
      "processed a chunk\n",
      "4100000\n",
      "processed a chunk\n",
      "4200000\n",
      "processed a chunk\n",
      "4300000\n",
      "processed a chunk\n",
      "4400000\n",
      "processed a chunk\n",
      "4500000\n",
      "processed a chunk\n",
      "4600000\n",
      "processed a chunk\n",
      "4700000\n",
      "processed a chunk\n",
      "4800000\n",
      "processed a chunk\n",
      "4900000\n",
      "processed a chunk\n",
      "5000000\n",
      "processed a chunk\n",
      "5100000\n",
      "processed a chunk\n",
      "5200000\n",
      "processed a chunk\n",
      "5300000\n",
      "processed a chunk\n",
      "5400000\n",
      "processed a chunk\n",
      "5500000\n",
      "processed a chunk\n",
      "5600000\n",
      "processed a chunk\n",
      "5700000\n",
      "processed a chunk\n",
      "5800000\n",
      "processed a chunk\n",
      "5900000\n",
      "processed a chunk\n",
      "6000000\n",
      "processed a chunk\n",
      "6100000\n",
      "processed a chunk\n",
      "6200000\n",
      "processed a chunk\n",
      "6300000\n",
      "processed a chunk\n",
      "6400000\n",
      "processed a chunk\n",
      "6500000\n",
      "processed a chunk\n",
      "6600000\n",
      "processed a chunk\n",
      "6700000\n",
      "processed a chunk\n",
      "6800000\n",
      "processed a chunk\n",
      "6900000\n",
      "processed a chunk\n",
      "7000000\n",
      "processed a chunk\n",
      "7100000\n",
      "processed a chunk\n",
      "7200000\n",
      "processed a chunk\n",
      "7300000\n",
      "processed a chunk\n",
      "7400000\n",
      "processed a chunk\n",
      "7500000\n",
      "processed a chunk\n",
      "7600000\n",
      "processed a chunk\n",
      "7700000\n",
      "processed a chunk\n",
      "7800000\n",
      "processed a chunk\n",
      "7900000\n",
      "processed a chunk\n",
      "8000000\n",
      "processed a chunk\n",
      "8100000\n",
      "processed a chunk\n",
      "8200000\n",
      "processed a chunk\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "8315826\n",
      "8315826\n",
      "dict_keys(['GiBUU_D_hadron', 'GiBUU_D_electron', 'GiBUU_C_hadron', 'GiBUU_C_electron', 'GiBUU_Fe_hadron', 'GiBUU_Fe_electron', 'GiBUU_Pb_hadron', 'GiBUU_Pb_electron'])\n"
     ]
    }
   ],
   "source": [
    "for target in ['D','C','Fe','Pb']:\n",
    "    #GiBUU\n",
    "    print (target)\n",
    "    print (' hadron')\n",
    "    df['GiBUU_%s_hadron'%target]= getdatainChunks('GiBUU_SingleHadron_%s.root'%target, '%s_hadron'%target)\n",
    "    print (' electron')\n",
    "    df['GiBUU_%s_electron'%target]= getdatainChunks('GiBUU_SingleHadron_%s.root'%target,'%s_electron'%target)\n",
    "print (df.keys())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dict_keys(['GiBUU_D_hadron', 'GiBUU_D_electron', 'GiBUU_C_hadron', 'GiBUU_C_electron', 'GiBUU_Fe_hadron', 'GiBUU_Fe_electron', 'GiBUU_Pb_hadron', 'GiBUU_Pb_electron'])\n"
     ]
    }
   ],
   "source": [
    "print (df.keys())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Apply cuts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "D\n",
      "Entries before cut  8363332\n",
      " 1.0 <Q2<4.00 : 8358878  (99.95  %)\n",
      " 2.2 <Nu<4.25 8358878  (100.00  %)\n",
      "inelasticity < 0.85 8358878  (100.00  %)\n",
      "Entries before cut  11186159\n",
      " 2.2 <Nu<4.25 11186159  (100.00  %)\n",
      "P<2.7  10411825  (93.08  %)\n",
      "P>0.2  9436855  (90.64  %)\n",
      "inelasticity < 0.85 9436855  (100.00  %)\n",
      " \n",
      "C\n",
      "Entries before cut  10000001\n",
      " 1.0 <Q2<4.00 : 9994629  (99.95  %)\n",
      " 2.2 <Nu<4.25 9994629  (100.00  %)\n",
      "inelasticity < 0.85 9994629  (100.00  %)\n",
      "Entries before cut  14519476\n",
      " 2.2 <Nu<4.25 14519476  (100.00  %)\n",
      "P<2.7  13773290  (94.86  %)\n",
      "P>0.2  11441232  (83.07  %)\n",
      "inelasticity < 0.85 11441232  (100.00  %)\n",
      " \n",
      "Fe\n",
      "Entries before cut  5596315\n",
      " 1.0 <Q2<4.00 : 5593261  (99.95  %)\n",
      " 2.2 <Nu<4.25 5593261  (100.00  %)\n",
      "inelasticity < 0.85 5593261  (100.00  %)\n",
      "Entries before cut  8447179\n",
      " 2.2 <Nu<4.25 8447179  (100.00  %)\n",
      "P<2.7  8125240  (96.19  %)\n",
      "P>0.2  6110011  (75.20  %)\n",
      "inelasticity < 0.85 6110011  (100.00  %)\n",
      " \n",
      "Pb\n",
      "Entries before cut  8315826\n",
      " 1.0 <Q2<4.00 : 8311372  (99.95  %)\n",
      " 2.2 <Nu<4.25 8311372  (100.00  %)\n",
      "inelasticity < 0.85 8311372  (100.00  %)\n",
      "Entries before cut  12947581\n",
      " 2.2 <Nu<4.25 12947581  (100.00  %)\n",
      "P<2.7  12586311  (97.21  %)\n",
      "P>0.2  8550245  (67.93  %)\n",
      "inelasticity < 0.85 8550245  (100.00  %)\n",
      " \n"
     ]
    }
   ],
   "source": [
    "for target in ['D','C','Fe','Pb']:\n",
    "    print (target)\n",
    "    df['GiBUU_%s_electron'%target] = applyElectronCuts(df['GiBUU_%s_electron'%target], isMC=True)\n",
    "    df['GiBUU_%s_hadron'%target] = applyHadronCuts(df['GiBUU_%s_hadron'%target], isMC=True)\n",
    "    print (' ') \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x1080 with 25 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df['GiBUU_D_hadron'].query('pid==211').hist(figsize=(15, 15),density=True,alpha=0.5,bins=100)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x1080 with 25 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df['GiBUU_Pb_hadron'].hist(figsize=(15, 15),density=True,alpha=0.5,bins=100)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[<matplotlib.axes._subplots.AxesSubplot object at 0x7fd1355cf850>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7fd136fa6670>],\n",
       "       [<matplotlib.axes._subplots.AxesSubplot object at 0x7fd136251610>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7fd136669340>],\n",
       "       [<matplotlib.axes._subplots.AxesSubplot object at 0x7fd136379eb0>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7fd136212760>]],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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mWhZJkiRJ0uN1smjLCUAA505JvwDYApw43cURsRvFcNB/zMyvRWGPDsojSZIkSWrQyZDOQ4FtwPWNiZk5GRFry/PTeRmwB3BTRPwN8HvA7hGxiSJoXJGZj3RQPkkNnLcnSdXllg2SWukk4NsX2JSZW5uc2wAcHhELMvPhFtcfWB7PAB4G3gn8J/Am4CxgDHhzq18eEcuB5QBLliyhVqvN5TkMpYmJiZF6vr0yavU4NtnsT7Vzu27bytjkup7ce5QMQz3Wahv7XQRJktSmTgK+xUCrT5CTDXlaBXz14ZtPAZ6dmbeVjy+OiK8BvxsR/zszv9vs4sxcDawGWLZsWY6Pj7dZ/OFVq9UYpefbK1Wvx8f16C3qze8Zm1zHhkVP783NR8gw1ONx4/YaSJI0bDoJ+LYAe7c4t6ghTysPlcfrGoK9us8A48ArgKYBnyRJkh7P4Z2SGnWyaMtGYK+IWNjk3BjFcM9WvXsAPy6P9zQ595Py+OQOyidJkiRJI62THr4bgKOAw4Br6okRsQg4BPj6DNfXF3vZr8m5etq9HZRPGjkuzCJJkqRGnQR8XwDOplh05ZqG9FMo5u5dVE+IiH2APYG7M3MLQGaui4hvUCzu8oLMvLnMu3N5j0eAr3ZQPkmSpJHmBu2S5hzwZeYtEXE+cGpErAEuBw4CTgeuZsdN18+hWHHzCKDWkH4aRbB4VUR8hGKVzjdS9Bq+JzPvnmv5pFFhr54kSZJa6aSHD4revfUU2yMcDWwCzqPYQ2/bTBdn5rci4nDgfeW9FgHfA96SmZ/qsGySJEmSNNI6Cvgy81FgZfkzXb6TgJNanPs2cEwn5ZBGiT16kqS5cgVPafR0skqnJEmSJGmAGfBJkiRJUkV1OodP0jxwGKckSZLmwoBPkiRpBDmfTxoNBnzSgLJXT5IkSZ1yDp8kSZIkVZQBnyRJkiRVlEM6pQHhEE5JUr9MbYOc0ydVhz18kiRJklRRBnySJEnawaorb+feB7c6+kSqAId0Sn1kQypJkqResodPkiRJkirKgE+SJEmSKsohndI8cxinJGmYNLZbrt4pDR97+CRJkiSpouzhk3rMHj1JUlXY2ycNH3v4JEmSJKmiDPgkSZIkqaIc0in1gMM4JUmSNAgM+CRJktS2qV9uOqdPGkwGfFKX2KsnqZsiYifgj4A/AJYCPwUuBlZk5uY53O9i4LeAWzPz2V0sqiRpgDmHT5KkwbQK+DDwXeA04BLgdOCyMhictYh4PXAs8FC3CylJGmz28EmSNGAi4mCKIG9NZh7bkL4O+AhwPPD5Wd5rd+BjwPnAMd0vrVRwywZpMNnDJ0nS4DkBCODcKekXAFuAE9u4119RfMH77u4UTZI0TOzhk+bIOXuSeuhQYBtwfWNiZk5GxNry/Iwi4jDgVOCEzHwgIrpeUEnSYDPgkyRp8OwLbMrMrU3ObQAOj4gFmflwqxtExC4UPYJfzcyLe1ROqSmHd0qDw4BPaoO9epLmyWKgWbAHMNmQp2XAB7wDeCbw6+3+8ohYDiwHWLJkCbVard1bPGbXbVsZm1w35+vVP9167S6+bMd77L3Hwo7vqdYmJiY6+ptVf/TydTPgkyRp8GwB9m5xblFDnqYi4hnACuB9mXlnu788M1cDqwGWLVuW4+Pj7d7iMRdfdgUbFj19zterf8Ym1/XktTtu3B6/XqrVanTyN6v+6OXrZsAnzcBePUl9sBH45YhY2GRY5xjFcM/pevdWAvcBl5bBX90uwIIybXNm/qSrpZYkDRxX6ZQkafDcQNFGH9aYGBGLgEOAG2e4fn+KeYC3Anc0/IxRDPO8g2J+nySp4uzhkyRp8HwBOBs4A7imIf0Uirl7F9UTImIfYE/g7sysD/N8O/CkJvf9GMUcwD8G7N1TX7igizS/DPikJhzGKamfMvOWiDgfODUi1gCXAwcBpwNXs+Om6+cAbwaOAGrl9Vc1u29EfAiYyMwv9q70kqRBYsAnSdJgOgNYT7Fa5tHAJuA8YEVmbutjuSRJQ8SAT8IePUmDJzMfpVh8ZeUM+U4CTprlPZd2Wi6pmxzeKfWei7ZIkiRJUkUZ8EmSJElSRTmkU5IkSX03dXqFQzyl7jDg08i698Gtzt2TJElSpXU0pDMidoqIMyPitoiYjIgfRcTKiNhtjve7OCIyIr7TSbkkSZI03FZdeftjP5LmrtMevlUUewJdSrGKWH2PoOdHxJHtLBsdEa8HjgUe6rBMUkuNjcZYH8shSZIkzYc5B3wRcTBwGrAmM49tSF8HfAQ4nh03hp3uXrsDHwPOB46Za5kkSZIkSdt1MqTzBCCAc6ekXwBsAU5s415/RRF8vruD8kiSJKmCHN4pzV0nQzoPBbYB1zcmZuZkRKwtz88oIg4DTgVOyMwHIqKDIkk7smGQJEnSKOsk4NsX2JSZW5uc2wAcHhELMvPhVjeIiF0oegS/mpkXd1AWSZIkjQC3b5Da00nAtxhoFuwBTDbkaRnwAe8Angn8eru/PCKWA8sBlixZQq1Wa/cWQ2tiYmKknm8nxiZbvUVh121bGZtcN4+lqSbrsTuGoR5rtY39LoIkSWpTJwHfFmDvFucWNeRpKiKeAawA3peZd7b7yzNzNbAaYNmyZTk+Pt7uLYZWrVZjlJ5vu3b45m9R63xjk+vYsOjpvS9QxVmP3TEM9XjcuN+iS5I0bDoJ+DYCvxwRC5sM6xyjGO45Xe/eSuA+4NIy+Gss04IybXNm/qSDMkqSJKnCGr/odXin9HidBHw3AEcBhwHX1BMjYhFwCPD1Ga7fn2Ie4K0tzt8BfAV4fQdl1IhwcRZJkiTp8ToJ+L4AnA2cQUPAB5xCMXfvonpCROwD7AncnZn1YZ5vB57U5L4fo5gD+MeAvXuSJEmSNEdzDvgy85aIOB84NSLWAJcDBwGnA1ez46br5wBvBo4AauX1VzW7b0R8CJjIzC/OtWySJEkaPQ7vlB6vkx4+KHr31lOslnk0sAk4D1iRmds6vLckSZIkqQMdBXyZ+SjF4isrZ8h3EnDSLO+5tJMyaTQ4Z0+SJEmaWac9fJIkSdLAcXinVNip3wWQJEmSJPWGPXwaGg7jlCRJczH1M4Q9fhol9vBJkiRJUkXZw6eBZq+eJEnqNuf3aZTYwydJkiRJFWXAJ0mSJEkV5ZBODRSHcEqSpPnk8E5VnT18kiRJklRR9vBJkiRJuH2DqsmAT33nME5JkiSpNwz4JEmSpCac36cqcA6fJEmSJFWUPXzqC4dxSpKkYWJvn4aVPXySJEmSVFH28EmSJEltcDVPDRMDPs0bh3FKkiRJ88shnZIkSZJUUfbwSZIkSR1wQRcNMnv4JEmSJKmi7OFTzzhnT5IkjRp7+zRo7OGTJEmSpIqyh09dZa+eJElSwe0bNAjs4ZMkSZKkijLgkyRJkqSKckinJEmSNA9c0EX9YMCnjjlvT5IkSRpMDumUJEmSpIqyh0+SJEmaZw7v1Hwx4FPbHMIpSZIkDQeHdEqSNIAiYqeIODMibouIyYj4UUSsjIjdZnHtkyPijyLiq+V1D0XE9yNidUT8wnyUX5I0GOzhkyRpMK0CTgcuBVYCB5WPnx8RR2bmtmmu/ZXymn8BPgpsAp4N/AFwXEQcnpnf7WXhJc2ewzvVSwZ8mhWHcUrS/ImIg4HTgDWZeWxD+jrgI8DxwOenucVtwIGZ+cMp9/0KcCXwHuA3u11uSdLgMeCTJGnwnAAEcO6U9AuADwAnMk3Al5nrW6RfFRH3UfT2SRpAU79kt8dPnXIOnyRJg+dQYBtwfWNiZk4Ca8vzbYuIPYE9gP/otICSpOFgD59achinJPXNvsCmzNza5NwG4PCIWJCZD7d533cDuwKfni5TRCwHlgMsWbKEWq3W5q/ZbtdtWxmbXDfn69U/vnaD4eLLtr8Ge++xcMb8ExMTHf3Nqj96+boZ8EmSNHgWA82CPYDJhjyzDvgi4jeBPwGuAC6cLm9mrgZWAyxbtizHx8dn+2se5+LLrmDDoqfP+Xr1z9jkOl+7AXPc+MzDO2u1Gp38zao/evm6OaRTkqTBswVo9VX+ooY8sxIRrwMuAm4CjsvM7Kx4kqRhYQ+fHuMQTkkaGBuBX46IhU2GdY5RDPecVe9eRLwGWAPcChyVmQ90t6iS5ovbN2guOurhc1NYSZJ64gaKNvqwxsSIWAQcAtw4m5tExK9S7ON3G3BkZt7f5XJKkgZcpz18bgorSVL3fQE4GzgDuKYh/RSKuXsX1RMiYh9gT+DuzNzSkH4U8CXgduBVmXnfPJRb0jxx+wbN1pwDPjeFrQaHcUrS4MnMWyLifODUiFgDXM72L1WvZsf29RzgzcARQA0gIpYB/0ixl9+FwGsjYurv+Fxvn4UkaRB00sPnprCSJPXOGcB6iu0RjqYYCXMesGKGETRQtKH1xV1WtchjwCdVSP1L/LHJVgv8alR1MofPTWElSeqRzHw0M1dm5oGZuTAzxzLzjzNzYkq+kzIzMrPWkPapMq3lz7w/IUlSX3TSw1eZTWGHTacbM9774PaXbKwL5RlWbijbHdZjdwxDPdZqG/tdBEnSLLiapxp1EvBVZlPYYdPpxozO2yu4oWx3WI/dMQz1OJsNfyVJ0mDpJODbAuzd4pybwkqSJEl95mqe6mQO30Zgr4hY2OScm8JKkiRJUp910sN3A3AUxaawj+0R1LAp7NdncxM3he09h3BKkiQJnN83ijrp4fsCkBTLRjdquilsRDwrIhY3ZnRTWEmSJEnqnTn38LkprCRJkjS87O0bDZ0M6QQ3hR1YDuOUJEmS1FHAl5mPAivLn+nynQScNCXtU8CnOvn9kiRJkjrnap7V1ckcPkmSJEnSAOt0SKcGiMM4JUmS1A3O76sOe/gkSZIkqaLs4ZMkSZLUkr19w82Ab8g5jFOSJElSKwZ8kiRJkmbF3r7h4xw+SZIkSaooe/gkSZIktc29+4aDAd+QWXXl7YxNbnXuniRJkqQZGfBJkiRJ6pjz+waTAZ8kSZKkrjL4GxwGfEPA4ZuSJEmS5sKAT5IkSVLPuLhLf7ktgyRJkiRVlD18A8phnJIkSaoi5/fNLwM+SZIkSX1h8Nd7DumUJEmSpIqyh0+SJElS37m4S28Y8A0I5+xJkiRJ6jYDPkmSJEkDx/l93WHAJ0mSJGmgGfzNnQFfHzmMU5IkSWqPc/3a4yqdkiRJklRR9vBJkiRJGloO95yeAd88cxinJEmS1BsGf49nwCdJkiSpcgz+Cs7hkyRJkqSKsoevxxzCKUmSJPXXKK/sacAnSZIkaaSM0nBPAz5JkiRJI6vqwZ8BXw84jFOSJEnSIDDgkyRJkiSqOdfPgK9L7NWTJEmSqqUKwz0N+CRJkiRpBsMa/BnwSZIkSVIbhmnopwHfHDmEU5IkSRIMdu+fAZ8kSZIkdcmgBX8GfG2wV0+SJEnSbA3C0M+dOrk4InaKiDMj4raImIyIH0XEyojYrY17vC4iro2IzRFxX0RcEhFP76RckiQNO9tYSaqeVVfe/tjPfOm0h28VcDpwKbASOKh8/PyIODIzt013cUT8BvBF4N+BdwB7AmcA34iIZZm5scPydcxePUlSn1S+jZWkUdYYZzx/1979njkHfBFxMHAasCYzj21IXwd8BDge+Pw01+8KnAf8CHhZZk6U6f8E3AT8BbB8ruWTJGlY2cZKkrqlkyGdJwABnDsl/QJgC3DiDNe/AtgX+GS9IQLIzLVADXhj2WDNu350tUqS1KCybawkaX51MqTzUGAbcH1jYmZORsTa8vxM1wN8s8m564BXAgcAt3ZQxlkxsJMkDZjKtLGSpP7qJODbF9iUmVubnNsAHB4RCzLz4Wmur+dtdj3AGC0ao4hYzvbhKBMR8f3ZFbsS9gI29bsQFWA9dof12B0DX49/3J3b7N+d21ReldrYgX9vqyVfu+Hk6zacuvG6NW1jOwn4FgPNGiKAyYY8rRqjxeWx2T0mp+R5nMxcDayeoYyVFBE3Zuayfpdj2FmP3WE9dof1qCkq08b63h5evnbDyddtOPXydetkDt8WYGGLc4sa8kx3PS3uMZvrJUmqKttYSVJXdBLwbQT2iohmjckYxVCUVt881q+v5212PTQfiiJJUtXZxkqSuqKTgO+G8vrDGuXTOZkAACAASURBVBMjYhFwCHDjLK4HeHGTcy8CHgBcTaW5kRzK2gPWY3dYj91hPapRldpY39vDy9duOPm6DaeevW6RmXO7MOI5FJu5Xjplj6DTKPYI+p3M/FyZtg/Fhq93Z+aWMm1X4C7g58DBDXsEPQ+4GbgwM0+e6xOTJGlY2cZKkrplzgEfQEScB5wKXApcDhwEnA58A3hlZm4r830KeDNwRGbWGq7/LeALFI3aBcATgTOBBF6YmQ43kSSNJNtYSVI3dLJKJ8AZwHqKpZuPplhK9DxgRb0hmk5mXhIRDwHvBj5EsZrYvwDvsiGSJI0421hJUsc66uGTJEmSJA2uThZtURdExAER8Z6IuC4ifhoRD0bE2oj4s4jYbZb3qEVEtvgZiX1YIuLAiLgoIr4XET+LiC0RcVtEfLic3zLb+7wuIq6NiM0RcV9EXBIRT+9l2QdJN+rR92NzEbE4ItaV9fDRNq4b6fekhlNEnFW+V+8s3/Pr+10mTa8bn0c0/7r1+Uf9N9fPCbPR6ZBOde73gLcBXwYuophgfwTwPuC4iHhRZj40i/tsopibMdWd3SrogNsP2IdirsuPgUeA51AMhTo+Ig7JzHunu0FE/AbwRYr5Lu+gWAThDOAbEbEsMzdOd31FdFyPpVF/PzbzHmCvdi7wPakh9n7gPooFYp7U57Jodrr1eUTzq1vttvqv7c8Js+WQzj4rezzuyMyfTUl/H/BnwGmZOW2UHxE1YGlmLu1VOYdVuWjBxRRzVj44Tb5dKebKPMKOK9odAtwE/G1mLu99iQfTbOuxzFvD9+MOIuIFwPXAO4GVwPmZeeoM1/ie1NCKiP+emXeW//4OsLv/Jwy2bnwe0eBop91W/83lc0I7HNLZZ5l549T/XEtfKI/Pnu29ImKniHhiRER3SlcJd5XHJ8+Q7xXAvsAn6x+sATJzLVAD3lh+AB9Vs63Hx/h+LETEzhQrJP4zsKaNS31PamjVgz0Nj25+HtFAaLvdVn908Dlh1gz4Btd+5fE/Zpl/DJgAfgZMRMSaiHhWT0o2wCJiUUTsFRH7RcRRwCfKU5fPcOmh5fGbTc5dR7Gc+QFdKubA66Ae63w/bncm8CyK5fXb4XtS0iBo9/OI+qAL7bb6Z66fE2bNOXwDqIz0V1AM5fr8LC5ZR7Ev07eBR4FfoXjTvCoiXpqZt/SqrAPoZIply+vWAydm5jUzXLdveWy2VHk9bQy4taPSDY+51iP4fnxMubjKXwLvycz1EbG0jct9T0rqqzl8HlH/dNJuq086/JwwawZ8g+lc4EXA2Zn5/ZkyZ+ZbpiR9MSK+TDHs68PAq7tewsH1JeA2YHfg+cAxwFNncd3i8ri1ybnJKXlGwVzr0ffjjv4/igD4w3O41vekpH5r6/OI+mrO7bb6qpPPCbNmwDdgIuK9FL0hqzPznLneJzOviYivA0dExBNGZWWtzPwxxSpVAF+KiH8AbijrYLr63FIeFzY5t2hKnsrroB5b3W/k3o8RcSJwFPDyzPz5HG7he1JS33Tr84jmR7fbbfVeFz4nzJpz+AZIRPwF8G7gQuAPu3DL9cDOjPCE3cz8NvAt4K0zZK0vbz/W5Fw9rdnQupHQRj1OZz0j8n6MiIUU39ZdDtwTEc+IiGcA+5dZ9izTpluu3vekpL7owecRzbMutdvqkS59Tpg1A74BERH/C/hfwGeAk7M7+2U8k2Lc/X1duNcwewLwlBny3FAeX9zk3IuAB4Dbu1moITSbepzOKL0fn0AxlOZo4I6Gn1p5/sTy8cnT3MP3pKR516PPI+qPTttt9U43PifMmkM6B0BErAD+Avgs8JbM3NYi3z4UGy/fnZlbyrQ9gYnMfHRK3qOBlwD/lJmTj7tZxUTE0zLznibpR1AsJV1rSHtcPQJXAz8BTo6IVQ17nj0PGAcu7HV3+yDotB59Pz5mM/BbTdKfCnyMYunlv6VY2Mb3pKSBMNvPIxoc7bTbGihtfU7olBuv91lEvA34KHA38OfA1P9c/yMzryzzfgp4M3BEZtbKtF+j6BK+DLiTogflMIpvBu4DXpKZle8FiIhLgX2Af6XYe2YR8ELgeIp5TuPl/mVN67FM/y2K/Yb+nWI/lCdSLJWbwAszs/LD5zqtR9+P0ytX31rHlA1VfU+qaiLid9g+NOk0YAHFZsIAd2XmZ/tSMLXUzucRDY522m0NvlafEzplD1//1ffa+kXg003OXw1M9x/s94GbgNcDS4BdKSbtfhx4/wh9IPw7ig/Mv0Px7UhS/Mf3CeCvM/PumW6QmZdExEMU8xY+RLE64r8A77IeZ12Pvh+7yPekhtjvA6+Ykvbe8ng1RQ+SBkunn0fUHx1//lH12cMnSZIkSRXloi2SJEmSVFEGfJIkSZJUUQZ8kiRJklRRBnySJEmSVFEGfJIkSZJUUQZ8kiRJklRRBnySJEmSVFEGfJIkSZJUUQZ8kiRJklRRBnySJEmSVFEGfJIkSZJUUQZ8kiRJklRRBnySJEmSVFEGfJIkSZJUUQZ8kiRJklRRBnySJEmSVFEGfJIkSZJUUQZ8kiRJklRRBnySJEmSVFEGfJIkSZJUUQZ8kiRJklRRBnySJEmSVFEGfJIkSZJUUQZ8kiRJklRRBnzSPIuIgyIiI+KhiFjYIs/n2sjz3t6WWJKkwRURv1a2h/dExFNa5Nk1Ir5V5vuTMm28fFyb1wJL88yAT5pnmfk94F5gEXBYi2wvL4/T5XlZeby6e6WTJGm4ZOaXgL8HlgB/0yLbWcAhwHXAqnkqmjQQDPik/vh6eXz51BMR8XTgF4C1ZdIrmuRZCvwi8HPg2p6UUJKk4XEa8FPgxIg4uvFERDwH+DNgK/B7mbmtD+WT+saAT+qPeq/c44K5hrRzgS0z5LkxM7d0uWySJA2VzNwEnFo+/ERE7AkQEbsAFwILgL8sR9lII8WAT+qPesD34rIxalTv9fsX4N/KPLu2yFPrTfEkSRoumXkxsAYYAz5UJr8TeCFwM/DXra6NiN0jYmVE3BURWyPihxHxnoh4Qs8LLvWYAZ/UH98B/hPYHXjBlHOvANZl5o8phn7uRtFYNaoHfM7fkyRpu7cC9wEnR8TpwAqK6Q9vycxHWlyzAPhX4GTgW8DlwFOBPwf+KSIW9LzUUg8Z8El9kJkJXFM+fGzIZkSMAf+94VyzPPsAzwAeAb7R88JKkjQkMvM/gDPKh38DLAT+KjO/Pc1lLwYWAwdk5q9l5q8DBwDfo2h/397DIks9Z8An9U+9d65x4ZZ6YFdf1OWbFN9MNstzc2ZO9K54kiQNpc8BG8p//wh4/yyu+ZMyWAQgM+8B3lE+PC0iortFlOaPAZ/UP/WA76URUf9b3CHgKxdkubnMs3N5zvl7kiS1dirFPD6A/YCXzJD/vsy8YmpiZn4FuB94GkWPnzSUDPik/vl34L+AJwHPLdNeAdyTmXc05LsGeCLF/kH1POD8PUmSdlBuW3QO8ChwPhDABTMsvnL3NOfuKo/7daN8Uj8Y8El9Uu4D9P/Khy+PiL2BA9k+b6/umoY8ewEHUTRk/w9JktTokxSLna3KzFMpFmN5BvDeaa7Jac7FLPJIA82AT+qvxv346j13zQK+LM+/nKLxWZuZD8xLCSVJGgIRsRx4FXAHxeqcAKdQ7Gl7RkQc2uLS/ae57S+Wxw3T5JEGmgGf1F/1gO9lPH7BFgAy837g1il5avNROEmShkFE7Eexz14Cv5+ZDwFk5p0U2yvsDPyfJvvaAjwlIl7d5J6vBZ4M/Adwe6/KLvWaAZ/UXzcDD1Ls9/PbFHP6bmmS7xrgKcDvlI+dvydJ0narKea7n5+ZU0fKnAv8G/Bs4OwW16+MiKfWH5TTLOobtZ9XbqckDSUDPqmPMvNRtu+l92TgG+Xcvqm+3pBnG48f9ilJ0kiKiJOA1wLrgbOmni/b1d8HHgbOjoiDp2S5DtgK3BERayLiUophoQdTtL9/jTTEDPik/mvsrft6izyNAd63M/O/elgeSZKGQkQ8Dfhw+fCUVvvTZuatFPvxLaAY2rlzw+mtwCuBTwHLgNcB9wHvA16TmQ/3pvTS/Ah7qCVJkiSpmuzhkyRJkqSKMuCTJEmSpIoy4JMkSZKkijLgkyRJkqSK2qXfBeiGvfbaK5cuXdrvYnRk8+bN7Lbbbv0uRt9ZD9tZFwXroVCVerjppps2ZeZTZ86pQWEbWy3WRcF6KFgPharUQ6s2thIB39KlS7nxxhv7XYyO1Go1xsfH+12MvrMetrMuCtZDoSr1EBF39bsMao9tbLVYFwXroWA9FKpSD63aWId0SpIkSVJFGfBJkiRJUkUZ8EmSJElSRc0q4IuIsyLikoi4MyIyItbPkP/AiPhSRNwfEZsj4pqIeGWLvDtFxJkRcVtETEbEjyJiZUQM/8xJSZJmYBsrSeql2fbwvR94JfBD4P7pMkbELwHXAi8GPgi8A9gduCIijmxyySrgw8B3gdOAS4DTgcsiwh5ISVLV2cZKknpmtqt0/lJm3gkQEd+haFxaOQd4EvDCzFxbXvMZ4Fbg/Ih4VmZmmX4wRQO0JjOPrd8gItYBHwGOBz7f3lOSJGmo2MZKknpmVt/u1RuimZRDRI4BavWGqLx+AvgkcABwaMMlJwABnDvlVhcAW4ATZ/N7JUkaVraxkqRe6vZwjucCC4FvNjl3XXlsbIwOBbYB1zdmzMxJYO2UvJIkjTLbWElS27od8O1bHjc0OVdPG5uSf1Nmbm2Rf6+IWNDF8kmSNKxsYyVJbZvtHL7ZWlwemzUuk1Py1P/dLO/U/A9PPRkRy4HlAEuWLKFWq7Vb1oEyMTEx9M+hG6yH7e7/2QNcfNkVAOy9x8I+l6Z/fE8UrAdhGztn/v1sZ10UbGMLvh8KVa+Hbgd8W8pjs7+cRVPy1P+9d4t7Ncv/mMxcDawGWLZsWY6Pj7dV0EFTq9UY9ufQDdbDdhdfdgUbFj0dgOPGD+hzafrH90TBehC2sXPm38921kXBNrbg+6FQ9Xro9pDOjeVxrMm5elrjUJSNFENKmjVeYxRDUR73zaMkSSPINlaS1LZuB3y3UAwfeXGTcy8qjzc2pN1QluGwxowRsQg4ZEpeSZJGmW2sJKltXQ34yqWhLwPGI+J59fSI2B04GbiDHVcL+wKQwBlTbnUKxbyCi7pZPkmShpVtrCRpLmY1hy8ifgfYv3z4VGBBRLy7fHxXZn62IftZwKuAr0bEKuABisZlDDi6viEsQGbeEhHnA6dGxBrgcuAg4HTgatwQVpJUcbaxkqRemu2iLb8PvGJK2nvL49XAY41RZv4gIl4CfAD4U2ABcDPwmsy8qsm9zwDWU6wGdjSwCTgPWJGZ22ZZPkmShpVtrCSpZ2YV8GXmeDs3zczvAW+YZd5HgZXljyRJI8U2VpLUS91etEWSJEmSNCAM+CRJkiSpogz4JEmSJKmiDPgkSZIkqaIM+CRJkiSpogz4JEmSJKmiDPgkSZIkqaIM+CRJkiSpogz4JEmSJKmiDPgkSZIkqaIM+CRJkiSpogz4JEmSJKmiDPgkSZIkqaIM+CRJkiSpogz4JEmSJKmiDPgkSZIkqaIM+CRJkiSpogz4JEmSJKmiDPgkSZIkqaIM+CRJkiSpogz4JEmSJKmiDPgkSZIkqaIM+CRJkiSpogz4JEmSJKmiDPgkSZIkqaIM+CRJkiSpogz4JEmSJKmiDPgkSZIkqaIM+CRJkiSpogz4JEmSJKmiehLwRcTuEXF2RNwSEQ9GxKaIuDYiToqImJL3wIj4UkTcHxGbI+KaiHhlL8olSdKws42VJLVjl27fMCJ2Av4JOBz4NHAesBg4AbgQOAh4V5n3l4BrgUeADwI/A04BroiI12bmVd0unyRJw8o2VpLUrq4HfMCvAC8Fzs3MM+uJEfEx4DbgDygbI+Ac4EnACzNzbZnvM8CtwPkR8azMzB6UUZKkYWQbK0lqSy+GdD6xPG5sTMzMh4FNwGaAiNgNOAao1RuiMt8E8EngAODQHpRPkqRhZRsrSWpLL3r4rgf+C3hnRKwH/g14AnAS8ELgD8t8zwUWAt9sco/ryuOh5f0kSZJtrCSpTV0P+DLz/og4huIbxIsbTj0IHJuZXyof71seNzS5TT1trNXviYjlwHKAJUuWUKvVOil2301MTAz9c+gG62G7XbdtZWxyHQC12sYZcleX74mC9SCwjZ0r/362sy4KtrEF3w+FqtdDL3r4ACaA7wBfppgw/hTgbcDnI+INmXklxSRzgK1Nrp8sj4ubnAMgM1cDqwGWLVuW4+Pj3Sl5n9RqNYb9OXSD9bDdxZddwYZFTwfguPED+lya/vE9UbAe1MA2tk3+/WxnXRRsYwu+HwpVr4derNL5HIoG6MzM/HhD+t9RNFAXlCuHbSlPLWxym0XlcUuTc5IkjSTbWElSu3qxaMuZFI3JJY2JmbkF+AqwP7CU7RPOmw0pqac1G4oiSdKoso2VJLWlFwFfvSHZucm5XRqOt1AMNXlxk3wvKo83drdokiQNNdtYSVJbehHwfbc8ntSYGBFPAt4A3A/8sFwa+jJgPCKe15Bvd+Bk4A5cPUySpEa2sZKktvRi0ZZzgd8FPlDONfgGxYTyU4B9gLdl5iNl3rOAVwFfjYhVwANlvjHgaDeElSRpB7axkqS29GJbhrsi4jBgBUVDczzwELAW+JPMXNOQ9wcR8RLgA8CfAguAm4HXZOZV3S6bJEnDzDZWktSunmzLkJk/BN48y7zfoxiGIkmSZmAbK0lqRy/m8EmSJEmSBoABnyRJkiRVlAGfJEmSJFWUAZ8kSZIkVZQBnyRJkiRVlAGfJEmSJFWUAZ8kSZIkVZQBnyRJkiRVlAGfJEmSJFWUAZ8kSZIkVZQBnyRJkiRVlAGfJEmSJFWUAZ8kSZIkVZQBnyRJkiRVlAGfJEmSJFWUAZ8kSZIkVZQBnyRJkiRVlAGfJEmSJFWUAZ8kSZIkVZQBnyRJkiRVlAGfJEmSJFWUAZ8kSZIkVZQBnyRJkiRVlAGfJEmSJFWUAZ8kSZIkVZQBnyRJkiRVlAGfJEmSJFWUAZ8kSZIkVZQBnyRJkiRVVM8Cvoh4SkR8KCJ+EBGTEfHTiPhaRLxsSr4DI+JLEXF/RGyOiGsi4pW9KpckScPONlaSNFu79OKmEbE/UAN2B/4WuB3YE3guMNaQ75eAa4FHgA8CPwNOAa6IiNdm5lW9KJ8kScPKNlaS1I6eBHzA58p7PzczfzJNvnOAJwEvzMy1ABHxGeBW4PyIeFZmZo/KKEnSMLKNlSTNWteHdEbEy4GXAh/MzJ9ExK4RsbhJvt2AY4BavSECyMwJ4JPAAcCh3S6fJEnDyjZWktSuXszhe115vDsiLgMeAjZHxO0RcWJDvucCC4FvNrnHdeXRxkiSpO1sYyVJbenFkM4Dy+MFwB3AmykanT8GPhsRu2bmhcC+Zb4NTe5RTxtrcg6AiFgOLAdYsmQJtVqt85L30cTExNA/h26wHrbbddtWxibXAVCrbexzafrH90TBelDJNnYO/PvZzroo2MYWfD8Uql4PvQj49iiPDwJHZObDABFxKXAn8P6I+DRQH4Kytck9Jsvj44ap1GXmamA1wLJly3J8fLzzkvdRrVZj2J9DN1gP21182RVsWPR0AI4bP6DPpekf3xMF60El29g58O9nO+uiYBtb8P1QqHo99GJI50Pl8e/qDRFAZt4PfBl4GsU3lFvKUwub3GNRedzS5JwkSaPKNlaS1JZeBHw/Lo/3NDlXX03syUC9/7zZkJJ6WrOhKJIkjSrbWElSW3oR8F1fHvdrcq6edi9wC8VQkxc3yfei8nhjd4smSdJQs42VJLWlFwHflyjmFpwYEbvXEyNiH+DXgDsy8wfl0tCXAeMR8byGfLsDJ1NMRr8eSZJUZxsrSWpL1xdtycz7I+LtwCeA6yLi/wALgP9ZHk9tyH4W8CrgqxGxCngAOIViuMnRbggrSdJ2trGSpHb1YpVOMnN1RGwC3gm8F9hGsRfQb2fmNxry/SAiXgJ8APhTisbqZuA1mXlVL8omSdIws42VJLWjJwEfQGauAdbMIt/3gDf0qhySJFWNbawkabZ6MYdPkiRJkjQADPgkSZIkqaIM+CRJkiSpogz4JEmSJKmiDPgkSZIkqaIM+PT/t3fncZJUVaLHfwdoaBZ3sEeKpzBqi4p7o+JaKCrqzDzHhVEfKiq2Kwr6dNweCKiMziCO4tbguIGOrCozjiKO6b6Aio4KiNC4NALiBg1Ui/Z5f9woKsnO6q6qXCIz8vf9fPITXRGRUSdvVvbJE/fGDUmSJEkNZcEnSZIkSQ1lwSdJkiRJDWXBJ0mSJEkNZcEnSZIkSQ1lwSdJkiRJDWXBJ0mSJEkNZcEnSZIkSQ1lwSdJkiRJDWXBJ0mSJEkNZcEnSZIkSQ1lwSdJkiRJDWXBJ0mSJEkNZcEnSZIkSQ1lwSdJkiRJDWXBJ0mSJEkNZcEnSZIkSQ1lwSdJkiRJDWXBJ0mSJEkNZcEnSZIkSQ1lwSdJkiRJDWXBJ0mSJEkNZcEnSZIkSQ1lwSdJkiRJDTWUgi8idoiItRGREXF8l+13i4hPRcTvI+K6iPhqRDxqGLFJkjTOzLGSpM0ZVg/fUcDO3TZExJ2BbwD7AG8HXg3sBHw+IvYbUnySJI0rc6wkaV4DL/gi4v7AocAR8+xyDHBr4HGZeUxmvhd4OHA58J6IiEHHKEnSODLHSpK2ZKAFX0RsDZwAfA44o8v2HYG/A1qZef7s+sxcD5wIrAT2HmSMkiSNI3OsJGkhBt3DdxiwJ/CyebbfG9gO+GaXbd+qliYjSZI2ZY6VJG3RNoM6cETsARwJHJWZl0XE7l1227VaruuybXbd1DzHXw2sBlixYgWtVquXcGu3fv36sX8N/WA7zFm2cQNTM2sBaLUurzma+vg3UdgOameOXRw/P3Nsi8IcW/j3UDS9HQZW8AHvA9YC79jMPjtUyw1dts107HMzmbkGWAOwatWqnJ6eXlqUI6LVajHur6EfbIc5p5z1edYt3wOAA6ZX1hxNffybKGwHdTDHLoKfnzm2RWGOLfx7KJreDgMp+CLiQOCxwCMy88bN7Hp9tdyuy7blHftIkjTxzLGSpMXoe8EXEdtRzjh+FrgiIu5SbZodNnKrat3VlFnC2re1m13XbSiKJEkTxxwrSVqsQUzasj2wC/BE4OK2R6vafmD188HA/1CGmuzT5TgPrpbnDSBGSZLGkTlWkrQogxjSeR3wtC7rdwHeS5k++oPADzNzfUScBTw5Iu6TmT8AiIidKMnqYuA7A4hRkqRxZI6VJC1K3wu+6nqC0zrXt80gdklmtm9/HfBo4OyIOA64BngBZbjJEzMz+x2jJEnjyBwrSVqsQc7SuSCZ+bOIeCjwT8BrgW2B7wH7Z+Y5tQYnSdIYM8dKkoZW8GXmZUDMs+0C4H8PKxZJkprEHCtJms8gJm2RJEmSJI0ACz5JkiRJaigLPkmSJElqKAs+SZIkSWooCz5JkiRJaigLPkmSJElqKAs+SZIkSWooCz5JkiRJaigLPkmSJElqKAs+SZIkSWooCz5JkiRJaigLPkmSJElqKAs+SZIkSWooCz5JkiRJaigLPkmSJElqKAs+SZIkSWooCz5JkiRJaigLPkmSJElqKAs+SZIkSWooCz5JkiRJaigLPkmSJElqKAs+SZIkSWooCz5JkiRJaigLPkmSJElqKAs+SZIkSWooCz5JkiRJaigLPkmSJElqKAs+SZIkSWooCz5JkiRJaqi+F3wRsTIijoqIb0XEbyLi2og4PyLeEBE7dtn/bhHxqYj4fURcFxFfjYhH9TsuSZLGnTlWkrRYg+jhex5wGHAJcBTwauAi4M3ANyJi+9kdI+LOwDeAfYC3V/vuBHw+IvYbQGySJI0zc6wkaVG2GcAxTwOOycw/tq17f0RcDLwBeD5wfLX+GODWwAMy83yAiPgo8GPgPRGxZ2bmAGKUJGkcmWMlSYvS9x6+zDyvIxHN+mS13AugGnryd0BrNhFVz18PnAisBPbud3ySJI0rc6wkabGGOWnLbtXyymp5b2A74Jtd9v1WtTQZSZK0ZeZYSVJXgxjSuYmI2Bo4HPgz8PFq9a7Vcl2Xp8yum9rMMVcDqwFWrFhBq9XqS6x1Wb9+/di/hn6wHeYs27iBqZm1ALRal9ccTX38myhsB83HHLtlfn7m2BaFObbw76FoejsMpeAD3gk8GHh9Zl5UrduhWm7osv9Mxz6byMw1wBqAVatW5fT0dH8irUmr1WLcX0M/2A5zTjnr86xbvgcAB0yvrDma+vg3UdgO2gxz7Bb4+ZljWxTm2MK/h6Lp7TDwIZ0RcTTwMmBNZh7Ttun6arldl6ct79hHkiR1MMdKkrZkoAVfRLwJeCPwIeBFHZtn+8+7DSmZXddtKIokSRPPHCtJWoiBFXwRcQRwBPBR4OAuUz//D2WoyT5dnv7ganneoOKTJGlcmWMlSQs1kIIvIg4H3gR8DHhuZm7s3KeaGvosYDoi7tP23J2Ag4GLge8MIj5JksaVOVaStBh9n7QlIl4KHAn8AjgHeGZEtO9yZWZ+ofr364BHA2dHxHHANcALKMNNnugNYSVJmmOOlSQt1iBm6Zy9r88dgY902f5l4AsAmfmziHgo8E/Aa4Ftge8B+2fmOQOITZKkcWaOlSQtSt8Lvsw8CDhoEftfAPzvfschSVLTmGMlSYs18NsySJIkSZLqYcEnSZIkSQ1lwSdJkiRJDWXBJ0mSJEkNZcEnSZIkSQ1lwSdJkiRJDWXBJ0mSJEkNZcEnSZIkSQ1lwSdJkiRJDWXBJ0mSJEkNZcEnSZIkSQ1lwSdJkiRJDWXBJ0mSJEkNZcEnSZIkSQ1lwSdJkiRJDWXBJ0mSJEkNZcEnSZIkSQ1lwSdJkiRJDWXBJ0mSJEkNZcEnSZIkSQ1lwSdJkiRJDWXBJ0mSJEkNZcEnSZIkSQ1lwSdJkiRJDWXBtgcjnAAAIABJREFUJ0mSJEkNZcEnSZIkSQ1lwSdJkiRJDWXBJ0mSJEkNZcEnSZIkSQ1Ve8EXEVtFxGERcWFEzETELyPi2IjYse7YJEkaZ+ZYSVLtBR9wHPAO4CfAIcCpwMuBsyJiFOKTJGlcmWMlacJtU+cvj4h7UhLQGZn5lLb1a4F3AU8HPl5TeJIkjS1zrCQJ6u/hewYQwDs71p8AXA8cOPSIJElqBnOsJKn2gm9vYCPwnfaVmTkDnF9tlyRJi2eOlSTVO6QT2BW4OjM3dNm2DnhIRGybmX/q3BgRq4HV1Y/rI+KiAcY5DDsDV9cdxAiwHebc1BavrDmQmvk3UTSlHe5UdwATxBw7pymfn36wLQpzbOHfQ9GUduiaY+su+HYAuiUigJm2fTZJRpm5BlgzoLiGLiLOy8xVdcdRN9thjm1R2A6F7aAlMMdW/PzMsS0K26GwHYqmt0PdQzqvB7abZ9vytn0kSdLimGMlSbUXfJcDO0dEt4Q0RRmKssmZR0mStEXmWElS7QXfuVUMD2xfGRHLgfsC59URVE0aM3SmR7bDHNuisB0K20GLZY6d4+dnjm1R2A6F7VA0uh0iM+v75RH3An4AnNlxj6BDKPcIelZmnlRXfJIkjStzrCQJai74ACLi3cDLgDOBzwJ3B14OfB14VGZurDE8SZLGljlWkjQKBd/WwKGU6Z93p0yJ+kng8MxcX2NokiSNNXOsJKn2gk+SJEmSNBh1T9oysSLi2RHx/Yi4ISKujIgTI2KXHo739ojIiBirM7a9tENELI+IF0TEpyPisuoYl0bEJyLi7oOOfTEiYquIOCwiLoyImYj4ZUQcGxE7LuIYT4iIb0TEdRHxu4g4NSL2GGTcg9BLW0TEbSLiFRFxdvW8GyLioohYExH/axjx90s//iY6jndK9X/Aj/odqzRuzLFzJiHPmmPnmGMLc+zN2cNXg4g4DHgH8GXg48BuwCuBnwMPzMzrFnm8+1JmY5uhvKc79Tfiwei1HSJiT+AC4GvA2ZQpyP8aeDGwI7B/Zn5pYC9gESLiXynXzZwJ/BflOppDgK8C+23pOpqIeDJwGmUChhOAW1GGaf0FWJWZlw8u+v7qpS0iYn/gP4AvAv9NGZ62F/BCys2jH5KZPxnoC+iTXv8mOo71N8CnKTfZvjQz9+p/xNJ4MMfOmZQ8a46dY44tzLEdMtPHEB/AzsB1wHeArdvW/y2QwOsXebytKYnoM0ALWF/3axxWOwC3A+7bZf09KB/K8+p+nVU89wQ2Aqd3rD+keq3P3MLzlwHrKAl6p7b196UkozV1v8YhtsXuwJ27rN+vev5pdb/GYbRDx3N2An5BmXXxMuBHdb8+Hz7qephj+9sW45BnzbF9bQtz7KbHakSOdUjn8D0J2AF4d2b+ZXZlZp4FXAocuMjjvZzyH+8hfYtwOHpuh8z8bWae32X9T4AfUc5KjYJnAAG8s2P9CcD1bPm1PhLYFTgx2yZZqF57C/iHiFjWt2gHq6e2yMzLMvOSLuvPAX7H6LznW9Lr30S7twDbAG/sT2jSWDPHzpmUPGuOnWOOLcyxHSz4hm/vavnNLtu+BewZEQsaLhIRdwKOBo7MzJ/3Kb5h6Vs7dIqIrYA7AFcuMbZ+25typuk77SszcwY4n7m22NzzYf62uiWwsscYh6XXtugqIm4F3ILRec+3pC/tEBEPpEy5f2hmXtPvIKUxZI6dMyl51hw7xxxbmGM7WPAN367Vcl2XbesoZyR27bKtm/cBaynj88dNP9uh04spiegjS3x+v+0KXJ2ZG7psWwfsHBHbbuH5s/t2ez7AVA/xDVOvbTGfN1KG5YzKe74lPbdDRGxDOVt5dmaeMoAYpXFkjp0zKXnWHDvHHFuYYztsU3cA4yoibk25oHeh3pWZv6MMr4Ay9r3TTLXcocu2zt//DGB/4GGZ+edFxNFXdbdDl3geAhwL/BB462KfPyA70P11ws1f658283zmOcaS26omvbbFJiLiqcCrgM8DH+opuuHpRzu8Grgr8Pd9jEsaCXXnllHJsVUs5tnNM8fOMccW5tgOFnxLd2vgiEXsfxJl/PP11c/bATd07LO8Wl7PZkTEbSnjkj+Ymd9YRAyDUFs7dIqIBwD/SZlF7AlV1/0ouB64/TzbFvJa29tqKc8fJb22xc1ExBOAk4HvAgdkdYX1GOipHSLiLsDhwJsz89I+xyaNAnPsHPPs5plj55hjC3NsBwu+JcrMyyjDIRZrdmrfKeBnHdumKLMHbWn63yMo0yGfUP1RztoeiGrdhsz85RLiW5Sa2+EmEXF/4AvAH4F9M7Pb0Iy6XA7cIyK26zK8YIoy7GBzZ5na2+qCLs+H7kNRRlGvbXGTavroM4AfA48ds/H1vbbDsZQvdGd2/B+wDbBtte66zPx1X6OWhsQcO8c8u0Xm2Dnm2MIc28Fr+Ibv3Gq5T5dtDwIuap8lah53oiSjbwMXtz0eSOmivphyz5FR1o92ACAi7kdJQtdSktCoXVx/LuWz9sD2lRGxnDLt83kLeD50b6sHA9cAP+0xxmHptS1m938c5d46F1Lup/P7Psc5aL22w50o1yj8mJv/HzBFGYJyMeXaA2nSmGPnTEqeNcfOMccW5thOdd8XYtIewC6UbuRv0/2+OG/s2H9nYE/gVm3r9gGe2uXxY8qwjacCj6n7tQ66Har19wN+S7lHyl/X/brmea33YvP3gzmwbd0dqte5Q9u6ZZSzVZ33CLoP5R5BJ9b9GofVFtX6x1Z/5z8Ablf3a6rpb2K/ef4PuKr6LDwVeGjdr9OHj2E/zLH9bYtq/UjnWXNs/9qiWm+ObWCOrT2ASXxQLn5N4EvAauBIYD1lKMFOHfu+qdr3oAUct8V43RS2p3agnIG5uvpQH0G5r0rnY8e6X2cV67ur+M8ADqYMF7ixes+2atvvw9V+0x3Pf1r1Or8PvAR4LWV65CuAqbpf37DaAlhVJaIZyiQGm7zndb++Yf1NzHPMyxjTm8L68NGvhzm2f20xLnnWHNuftjDHbvGYY5tjvYavBpl5bET8FjgMeBdluMApwGtzgcMrmqAP7bAHcLvq32/azD7X9RhqPxxK+Y9iNfBESgJ9N3B4Zm7c0pMz89SIuIEyNfK/UGaf+iLwjzk611EsVC9tsRdzF1wfN88+J/UhxmHo6W9CUnfm2DkTlGfNsXPMsYU5tk1UFaskSZIkqWGctEWSJEmSGsqCT5IkSZIayoJPkiRJkhrKgk+SJEmSGsqCT5IkSZIayoJPkiRJkhrKgk+SJEmSGsqCT5IkSZIayoJPkiRJkhrKgk+SJEmSGsqCT5IkSZIayoJPkiRJkhrKgk+SJEmSGsqCT5IkSZIayoJPkiRJkhrKgk+SJEmSGsqCT5IkSZIayoJPkiRJkhrKgk+SJEmSGsqCT5IkSZIayoJPkiRJkhrKgk+SJEmSGsqCT5IkSZIayoJPkiRJkhrKgk8aMRGxe0RkRFxWdyySpMlT5aCsOYbLqjh2rzOObvoV2yi0syaDBZ80ZBHx4eo/+YPqjgVMOJIkzYqIg6q8+OEaYzAvq6+2qTsASZIkjZS71x3AiHs0sAxY1+NxbGcNhQWfJEmSbpKZF9YdwyjLzEv6dBzbWUPhkE5NjIi4ZUS8ISLOi4hrIuL6iPhpRHwwIh7Qse99IuITEXF5RPwpIq6IiFMjYtU8x56KiGMj4ifVsa+NiEsi4syIeErbfgk8p/rxQ7PDNuYb4hkRW0XEoRHx44iYiYgrqyGhKzbzOu8VER+JiF9ExIaI+G1E/GdETHfsd1D7kJGOWNrX376K4ezquoWZiPh9RHwlIp69+VaXJI2b+YYUtq+PiGdV+fT6iPhdRJweEXfZzDH3iIj3RsTPqjzyh4j4UkQ8eZGxPajKt9+NiKuqPPfLiDgpIvaa5zk7RMQrqnh/U/3+X1a//3Vt+7WAD1U/PqcjL364bb95r+GLiO0i4pCI+Fr1Gmci4tKI+PeIeFTHvp35dot5OSJOqH5+xWba6D3VPv+4+dbUpIhMhwir+SLizsDZwF8Dvwe+DtwA7A7cD3hPZh5a7ftk4BPAtsD3gIuAuwB7A38GDsrMk9uOvStwPrALcAnww2q/3YD7AF/NzP2rfT8MPAy4cxXDz9rCPDEzv1YlkLXAz6t9/h74DvAH4KHAzsBPgPtn5oaO1/kc4ERK7/351fF3BR5EOcHzksx8f7Xvw4CDmStAP9J+rMw8qNrvQOBjVUyXAL8FpoB9gK2B92bmS7s2vCRp7MwWF5kZ3dYDxwCvBs4Ffk3JMVPAlcBemXl1x/MeC5wO7ARcSMlht6uetxw4JjNf3/Gcy4A7AXtk5mVt688BHgH8D/BLYCOwF3BXSl7fPzO/0rb/VkALeDjwO+AbwLXAHYB7ALfKzOXVvq8F/oaSay8BvtYW0tcy88QtxLYz8DngAcB11fP/ANwRuC9wdmY+ab52Xkhejoj7UPL7hZm5yZDQiNgRuLxq190y8zed+2gCZaYPH41+UIqSHwJJKVx26tj+V8CDqn/fAbim2vd5HfsdWK2/nvKf/Oz6I6r1x3f53TsB+3Ss+3C1/0HzxLt7tT2BnwJ3bdt2e+DSattzOp53f+BPlIJ2umPbPpSk8yfgbh3bsvxXMG/73R1Y1WX9SuAX1fMfXPf77MOHDx8++vOYLy+05aYrgb3b1u8EfKvadkTHc3YD/ljlnwM6tu0JXFY971Ed22bX796x/nHALh3rAnhRtf8FVB0a1bZHVuvPBbbveN7WXX7vQdX+H95M+8wX22er9V8Adu7YdmvgkYtp5838/q9V++zbZdsLqm0n1/135GN0Hg7p1CR4EnAvylnF52Xm+vaNmXlFZn67+vEFwC2Az2fmv3XsdxJwFrA9JbHMun21PKfzF2fm+sz8Zg+xvywzL2473lXAe6of9+3Y9w2Ui8hfkZmtjji+CRxdbX/hYgLIzAsy87wu639aHRPgKZ3bJUmN9f8y89zZH6q8+s/Vj5256TDglsCbM/OU9g1ZrmF7VfXjyxbyizPz89nRa5XF+ym9d3tSeu5mzebor2fmDR3P+0tm/vdCfu+WRLk05PGUUTBPzY5ezsz8Q2Z+uR+/Czi+Wr6oy7bZHP++Pv0uNYCTtmgSPLZafiwzb9zCvo+olifNs/3DwN9SzhjOmi2G3lYNHTm7s6hcohuBbonoomp5h9kV1e99DPAX4FPzHG820Tx4sYFExDJgv+q5K4DtKGdUZ2NYudhjSpLG1ue6rNskN1X2r5anz3OsReemiLg9JRffA7gVc99n/6pargR+XP37+5Tc+PyIuBg4IzN/vdDftQiz3zXOyMw/DuD47U4HrgD+PiJWZOaVABGxN2U46Y8z82ubO4AmiwWfJsEdq+VPF7DvVLVcO8/2Szv2gzLG/pGUMfenA3+JiB8AXwJOyszzFxfuTa7IzD93WT9bTG7Xtu52lJ5JgD9GBJuxy2KCiIg9gU+z+aLulos5piRprP2qy7puuQnKZQoAP+pHboqIlwDHUq5Rm89NOSkzf1ZNcPIvlJ6x4yPiEuArlJz92czsx4QWi/mu0ZPMvDEi1gCHU675e0u1abbHz9493YwFnybJQv5D32w26naszNwIHBQRb6dc7D0NPIRyTd2rIuLozDx8kbFCuRB9oWaHZ/+JMuHM5ly9he2dTqMUe58C3kY5i3tNZv6luhD/8yy83SRJY67Kews1m58+Thm5smRVD9bxlInRXgn8J6X4vCEzMyI+DjyDjpyUme+JiNMpOfrRlAlcnls9vhgRj1/ACKCFGtZsiB8AXg+8ICKOoZz0fTplspiPDSkGjQkLPk2Cn1fLuy1g319V++1BmSGz0x7V8vLODZn5E8rMY2+PiG2Ap1KGgL4xIj6RmRcsMu7F+C1ldrJtgRdmx+ydS1X17t2TcoH+UzPzLx27zDsFtyRJlJk07wocnr3fv+4plGLuXZl5XJft8+akzLyCMov17EybD6KcIH008DxKAdWLxXzX6FlmXh4RZwJPA55AmYV8B2BNZl4zjBg0Ppy0RZPg7Gp5YFWIbc7sVM4HzrN9dqrkzV54nZl/zsx/r44XlCmjZ/2pWvbthEs19PMcyoxjT9rC7p1uBJinbW5bLX/dpdiDcjZRkqT5zF7v99Q+HGs2J/2yc0N1gvJ+Cz1QNVnbidWP927btNQcPftd48kR0etlDpvLy+1mJ3F7EXOTtby/x9+tBrLg0yT4NOW2DHcHTqzuUXOTiPir6kwfwAmU6xAeFxHP7djvGcDfATO0/YcaEc+OiE2STETsRrnvDpTbF8xaVy03uX9Oj46mDHN5b0RsUvRFxLKI+NuI2Kdj0+biuZjqHkcR8fC2Y0V1s9qHd3mOJEmzjqXc9+5NEfH8apKxm0TEVhHxqIh43AKOdWG1fHZE7NR2jNtRbpi+SYFUHfvxncVTRGzL3EQrPefozPweZYjp7YBTqpjaf9+tI+KRXZ+8qQXFUM36+SPgiZQJbL6dmd9fTNyaDBZ8aryqZ+rJlIlYngP8MiI+ExGnRMS3Kf/RP6Pa99fVPjcC/xYR342Ik6v9Pk4pfl6Qme2TujwZ+F5E/CIizoqIkyLibEqxtAtwStttH6AUoBuBQyPi8xHxwYg4MSIe0uPrPJdy/6AdgTMj4mdVPKdFxLeA3wCfodwMvt2Z1fKLEfHvVSwnVsf8DaW43Qb4UkScExGfoCTdoykXwUuS1FVm/pySJ2coPWo/j4jPRcQnI+LrlNkmv8imt3Po5kOUSy/uD1wSEadHxKcp+f02dJ+l+t6U++P9psphJ1fP+RVlwrWfcvPhnN+qYrp/RJwXER+p8uJzNznypg4Cvke5V+DPI+K/IuIT1eu8nHKLioWYNy938Z62fztZi7ryGj5NhMy8pOqFO5SSeB5NubB6HWWWzY+07XtGRDwQeC1lApZ7A7+jzOb1tvZ7D1XeQRm7/xDggZSbq15FuQbwRODUjljOj4h/AP5v9ZzZs5Rfo9xDqJfXeXJEfKd6nftVr3Mj8GvK8NKz2HRq7DdQ2uLvKW2zrFp/cLU8hDK99QspN3CfAb5JSWzbVa9DkqSuMvOciLgn8ArKveoeRul0uAI4n9Izdur8R7jpOL+vJm55CyW/PZGS3z4IHAm8s8vT/oNSDD6Ccn3dw4BrKHn77XRc85aZGyJi/+p37EMZJroV5Tvzh7YQ39UR8VDgxZRLHh5Kyam/phRxJ2zpNVa2lJfbzd4D+HfAJxd4fE2Y6M9MtJIkSZKGKSIOpxS778jMV21pf00mCz5JkiRpzFTXCV5Amczmbn2YBVUN5ZBOSZIkaUxExKuBe1Gue9wFeL/FnjbHHj5JkiRpTEREizLhzJXAKcBrMnOm1qA00iz4JEmSJKmhGjGkc+edd87dd9+97jDGxnXXXceOO+645R1VC9+f0eV707vvfve7V2fmLnXHoYWbxBzrZ70/bMf+sS37o+ntOF+ObUTBt/vuu3PeeefVHcbYaLVaTE9P1x2G5uH7M7p8b3oXET+vOwYtziTmWD/r/WE79o9t2R9Nb8f5cqw3XpckSZKkhrLgkyRJkqSGsuCTJEmSpIay4JMkSZKkhrLgkyRJkqSGsuCTJEmSpIay4JMkSZKkhrLgkyRJkqSGsuCTJEmSpIbapu4AJKnpjvvCTxe032GPWTngSCRJGl2by5fmyKWz4JOkEdGZ6ExukqSmW+hJ0fb9zI+LY8EnSQOw0AQmSZI0SBZ8ktQnFnkadRGxA/BjYHfgPZn5snojkjQJ+p0fHRGzOBZ8kiRNjqOAnesOQpIGxaGfm7Lgk6QRZdJSP0XE/YFDgdcAx9YcjqSGG+aoF0fYbJ4FnyT1wCSjcRARWwMnAJ8DzsCCT5ImhgWfJEnNdxiwJ/CUugOR1FyeBB1NFnyStAgmM42biNgDOBI4KjMvi4jdF/Cc1cBqgBUrVtBqtQYZ4shZv379xL3mQbAd+2dc2nJqZkPdIdzMKWetvenft7/FdmPTjv1mwSdJUrO9D1gLvGOhT8jMNcAagFWrVuX09PRgIhtRrVaLSXvNg2A79s+otuUmJ0GX1xPHQqy7EaZyLRffuCswWdfGW/BJ0hbMJrSpmQ21JTMncNFSRMSBwGOBR2TmjXXHI0kaPgs+SZIaKCK2o/TqfRa4IiLuUm2aqpa3qtZdnZl/qCNGSarLJJ1I3aruACRJ0kBsD+wCPBG4uO3RqrYfWP18cB3BSZKGwx4+SerCyVnUANcBT+uyfhfgvZRbNHwQ+OEwg5I03pqYH5ve2zcSBV9E3BZ4PfAkYDfgWuBHwOGZ+dU6Y5MkaRxV1+yd1rm+bZbOSzJzk+2S1KmJRd58Ol9rEwrA2gu+iLgTZXjJTpQzjT8FbgXcm7nrDCRpoCYpmUmSpMlRe8EHnESJ496Z+eu6g5Ekqcky8zIg6o5DkjQctRZ8EfEI4GHAyzPz1xGxDFiWmdfXGZckjbImDjeRJEmDUXcP3xOq5S8i4izg8cDWEXExcFRmnlRfaJKazmGckiR1Z44smjChS90F392q5QmUqaGfA2wHvBL4WEQsy8wPdXtiRKwGVgOsWLGCVqs1+GgbYv369bbXCPP9GZ6pmQ2L2n/Zxg1MzawdUDRL12pdXncIkiQ13rgWf3UXfLeoltcC+2bmnwAi4kzgUuCtEfGRzNzY+cTMXAOsAVi1alVOT08PJ+IGaLVa2F6jy/dneBZ79nJqZi3rlu8xoGiW7oDp8Uk6kiRpuOou+G6olp+YLfYAMvP3EfEZ4NmUXsAL6ghOUvM4REWSpE2ZH5ur7oLvV9Xyii7bZmfsvM2QYpEkSZKkLRqnCdTqLvi+A7yIcrP1TrPrrhpeOJIkSdJksFdvMmxV8+//FOX6vQMjYqfZlRFxB+BJwMWZ+bO6gpMkSZKkcVZrD191rd7/BT4AfCsi/g3YFnhxtXxZnfFJkiRJTWKv3mCM8gyedQ/pJDPXRMTVwGuAo4GNwDeBZ2bm12sNTtLYm4TENspJRpIk1av2gg8gM88Azqg7DkmSJKlJJuHEpzZvJAo+SZIkSWqCURt5Y8EnqXE8mylJklRY8EmSJEkN4onP0TEK9+uz4JPUCCY3SZKkTdV9Hz5JkiRJ0oDYwydJkiSNOUe6aD4WfJIkSZI0BHXM4GnBJ2kseSZTkjTJzINaKK/hkyRJkqSGsodPkhpk1G72KknqH3v1tBQWfJIkSZI0ZMM6SWvBJ2lseGZTkjRpjvvCT5ma2WAO1JJ5DZ8kSZIkNZQFnyRJkiQ1lEM6JY00h7BIkiQtnQWfJEmSNCI80al+s+CTJEmSamSRp0HyGj5JkiRJaih7+CSNHM90SpKazlynYbGHT5IkSZIayoJPkiRJkhrKgk+SJEmSGsqCT5IkSZIayklbJEmSpCFwohbVwYJPkhqq84vFYY9ZWVMkkiSpLhZ8kmrnGU9JUhOZ3zQKLPgkSZKkPrHI06hx0hZJkhoqIu4WESdHxAUR8ceIuD4iLoyId0TEHeqOT5I0ePbwSZLUXLsBdwDOBH4F/Bm4F7AaeHpE3Dczr6oxPknSgFnwSaqFQ16kwcvMLwJf7FwfEV8BTgEOAt4+5LAkSUNkwSdJ0uT5ebW8Ta1RSA3hSUyNMgs+SZIaLiKWAzsBy4F7AG+rNn22tqAkSUNhwSdJUvMdDLy77efLgAMz86vddo6I1ZTr/FixYgWtVmvQ8Y2U9evXT9xrHoQmt+NV12642c9TA/59yzZuYGpm7YB/S/ONcju2WpcP7NgWfJIkNd+ngAspvXz3A/4O2GW+nTNzDbAGYNWqVTk9PT2EEEdHq9Vi0l7zIDS5HYc9hHNqZi3rlu8x1N/ZRKPcjgdMrxzYsS34JElquMz8FWWWToBPRcTpwLkRsX1mHlNjaJKkAbPgkzQ0XtQujYbM/GFEfB94CWDBJy2AOUzjyhuvS5I0mbYHblt3EJKkwbKHT5KkhoqIv8rMK7qs3xfYC2gNPShpjNirpyaw4JMkqbneFxF3AP6bcu+95cADgKcD1wKvqjE2SdIQWPBJktRcnwCeAzyLMitnUgq/DwD/nJm/qDE2aeTYo6cmsuCTNDAmTqlemXkKcErdcUiS6uOkLZIkSZLUUPbwSZIkaWI5GkVNZ8EnSROi/UvNYY9ZWWMkkiRpWCz4JPWVZ0olSaPOXKVJ4jV8kiRJktRQFnySJEmS1FAO6ZQkSVKjOYRTk8wePkmSJElqKHv4JPXMM6eSJEmjyYJPkiRJjePJSKkYuSGdEbFDRKyNiIyI4+uOR5IkSZLG1cgVfMBRwM51ByFJkiRJ426khnRGxP2BQ4HXAMfWHI6keThMRpI0isxP0qZGpocvIrYGTgA+B5xRcziSJEmSNPZGqYfvMGBP4Cl1ByJJkqTxYK+etHkj0cMXEXsARwJHZeZlNYcjSZIkSY0wKj187wPWAu9Y6BMiYjWwGmDFihW0Wq3BRNZA69evt71G2Di8P1MzG+oOoRbLNm5gamZt3WH0Rat1ed0hSJKkIai94IuIA4HHAo/IzBsX+rzMXAOsAVi1alVOT08PJsAGarVa2F6jaxzen0kdPjM1s5Z1y/eoO4y+OGB6Zd0hSNKSTGoOkpaq1oIvIraj9Op9FrgiIu5SbZqqlreq1l2dmX+oI0ZJhQlWkiRp/NTdw7c9sAvwxOrR6cDq8WrgX4YYlyRJkkaEJx2lpau74LsOeFqX9bsA76XcouGDwA+HGZQkSZIkNUGtBV91zd5pnesjYvfqn5dk5ibbJQ2HZ1QlSZLG20jclkGSJEmS1H91D+nsqroXX9QdhyRJkurhKBOpP+zhkyRJkqSGGskePkn18GyqJKku5iBpMOzhkyRJkqSGsodPkiZQ+5n0wx6zssZIJE0ye/WkwbOHT5IkSZIayh4+acJ5dlWSNEzmHWm47OGTJEmSpIay4JMkSZKkhnJIpzSBHE4jSRoWc45UL3v4JEmSJKm8sjdDAAAQ8UlEQVShLPgkSZIkqaEs+CRJkiSpobyGT5oQXkMhSRqW477wU6ZmNph7pBFgD58kSZIkNZQ9fJIkNVRErAQOBB4L3BlYDlwCnAq8MzOvqzE8NYy9edJosuCTGsrEKwl4HvBS4DPAycCNwL7Am4EDIuLBmXlDjfFJkgbMgk+SpOY6DTgmM//Ytu79EXEx8Abg+cDxtUQmSRoKCz5JkhoqM8+bZ9MnKQXfXkMMRw3jSBJpPFjwSQ1i8pW0QLtVyytrjUKSNHAWfJIkTZCI2Bo4HPgz8PF59lkNrAZYsWIFrVZraPGNgvXr10/ca16KqZkNm92+bOMGpmbWDimaZrMt+2OU27HVunxgx7bgkyRpsrwTeDDw+sy8qNsOmbkGWAOwatWqnJ6eHl50I6DVajFpr3mhbjaSZPnm952aWcu65XsMNqAJYVv2xyi34wHTKwd2bO/DJ0nShIiIo4GXAWsy85i645EkDZ49fNKY87o9SQsREW8C3gh8CHhRvdFonJhnpPFmD58kSQ0XEUcARwAfBQ7OzKw5JEnSkFjwSZLUYBFxOPAm4GPAczNzY70RSZKGySGd0phxaI2khYqIlwJHAr8AzgGeGRHtu1yZmV+oIzZJ0nBY8EmS1Fx7V8s7Ah/psv3LgAWfNuHJRak5HNIpSVJDZeZBmRmbeUzXHaMkabDs4ZPGgGdaJUmStBQWfJIkSRPOE4tSczmkU5IkSZIayh4+aUR5tlWSNEjmGWky2MMnSZIkSQ1lD58kTbj2s/yHPWZljZFIkqR+s+CTRsTsl+6pmQ0Os5EkDYT5RZo8DumUJEmSpIayh0+qkWdaJUmSNEgWfJIkSQ3liUVJDumUJEmSpIayh08aMs+2SpIkaVgs+CRJkhrEE4uS2lnwSQNm4pUkSVJdvIZPkiRJkhrKHj5pAOzVkyQNk3lH0nzs4ZMkSZKkhrLgkyRJkqSGckin1CcOp5EkSdKoseCTJEkaM55klLRQFnzSEplsJUmSNOos+CRJksaAJxolLYUFn7QIJltJkiSNE2fplCRJkqSGqr2HLyJWAgcCjwXuDCwHLgFOBd6ZmdfVGJ5kr54kSZLGVu0FH/A84KXAZ4CTgRuBfYE3AwdExIMz84Ya45MkSaqFJx0l9WoUCr7TgGMy849t694fERcDbwCeDxxfS2SaWCZYSZIkNUHt1/Bl5nkdxd6sT1bLvYYZjyRJkiQ1xSj08M1nt2p5Za1RSJIkDYkjTCT120gWfBGxNXA48Gfg4/PssxpYDbBixQpardbQ4ht369evt706XHXthpv9PFVTHADLNm5gamZtjRFoPpPw3rRal9cdgiRJ6qORLPiAdwIPBl6fmRd12yEz1wBrAFatWpXT09PDi27MtVotbK+bG6UzqlMza1m3fI+6w1AXk/DeHDC9su4QJElSH41cwRcRRwMvA9Zk5jF1x6PmGqUiT5I0ucxHkgZppAq+iHgT8EbgQ8CL6o1GTWRSlSRJ0iQZmYIvIo4AjgA+ChycmVlzSJIkSQPhCUhJwzISBV9EHA68CfgY8NzM3FhvRGoKE6okSZImWe0FX0S8FDgS+AVwDvDMiGjf5crM/EIdsUmSJEnSOKu94AP2rpZ3BD7SZfuXAQs+LZi9epIkSVJRe8GXmQcBB9UchsacRZ4kaZSZpyTVZau6A5AkSYMREa+LiFMj4tKIyIi4rO6YJEnDVXsPn7QUnimVBqPzs3XYY7wR+5h7K/A74HvArWuORZJUAws+jQ2LPElatDtn5qUAEfEjYKea45ko5i1Jo8AhnZIkNdRssSdJmlwWfJIkSZLUUA7p1EhzOIwkDV9ErAZWA6xYsYJWq1VvQEO2fv36Jb/mq67dcNO/p/oUz7hatnEDUzNr6w6jEWzL/hjldmy1Lh/YsS34NFIs8CSpfpm5BlgDsGrVqpyenq43oCFrtVos9TWbx+ZMzaxl3fI96g6jEWzL/hjldjxgenCTpFnwqXYmR0mSJGkwLPhUC4s8SZIkafAs+CRJknrgSUxJo8yCT0NjQpQkSZKGy4JPA2OBJ0n1iohnAXeqftwF2DYi3lj9/PPM/Fg9kUmShsWCT31lkSdJI+X5wCM71h1dLb8MWPAtgblO0jix4FPPTHySNJoyc7ruGCRJ9dqq7gAkSZIkSYNhD58WzR49SdKkMfdJGlcWfFoQE50kSZI0fiz4NC+LPEmSJGm8WfDpJhZ4kiTNMS9KagILvglnMpMkSZKay4JvAl117QYLPUmSJGkCWPBNgM7ibqqmOCRJkiQNlwVfQ9mDJ0nS4szmzqkZR8JIag4LvgYxOUmSJElqZ8E35izyJEmSJM3Hgm/MWOBJktQ/5lVJTWfBNwZMRpIkSZKWwoJvRFjUSZIkSeo3C74aWeRJkjR85l9Jk8SCb8hMMpIkSZKGxYJvwCzwJEmSJNXFgq9PLOwkSRpN5mhJk8yCb4lMHpIkSZJGnQXfIljkSZIkSRonFnxbYJEnSdL4MX9LUmHB14VJQpIkSVITWPBhgSdJkiSpmbaqOwBJkiRJ0mDYwydJkhrBETuStCl7+CRJkiSpoezhkyTNq73H5LDHrKwxEmlT9uhJ0pbZwydJkiRJDWXBJ0mSJEkNZcEnSZIkSQ3lNXySJGlseN2eJC2OPXySJEmS1FD28EmSpJFmr54kLZ09fJIkSZLUUBZ8kiRJktRQDumUJEkjx2GcktQf9vBJkiRJUkPZwydJkmpnj54kDUbtPXwRsVVEHBYRF0bETET8MiKOjYgd645NkqRxZo6VJI1CD99xwMuBM4FjgbtXP98vIvbLzI11BidJ0hgb6Rxrr54kDV6tBV9E3BM4BDgjM5/Stn4t8C7g6cDHawpPkqSxZY6VJEH9PXzPAAJ4Z8f6E4B/Ag7EZCRJ0lKMZI61V0+Shqvugm9vYCPwnfaVmTkTEedX2yVJ0uKNRI61wJOketVd8O0KXJ2ZG7psWwc8JCK2zcw/dW6MiNXA6urH9RFx0QDjbJqdgavrDkLz8v0ZXRP93ryyP4e5U38OowUwxy7dRH/W+8h27B/bsj9Gth0HmWPrLvh2ALolIoCZtn02SUaZuQZYM6C4Gi0izsvMVXXHoe58f0aX743GjDl2ifys94ft2D+2ZX9MajvWfVuG64Ht5tm2vG0fSZK0OOZYSVLtBd/lwM4R0S0hTVGGomxy5lGSJG2ROVaSVHvBd24VwwPbV0bEcuC+wHl1BDUBJnaYzpjw/RldvjcaJ+bYpfOz3h+2Y//Ylv0xke0YmVnfL4+4F/AD4MyOewQdQrlH0LMy86S64pMkaVyZYyVJUHPBBxAR7wZeBpwJfBa4O/By4OvAozJzY43hSZI0tsyxkqRRKPi2Bg6lTP+8O2Wq1E8Ch2fm+hpDkyRprJljJUm1F3ySJEmSpMGoe9IW9SgitoqIwyLiwoiYiYhfRsSxEbHjAp47HRG5hcdDh/E6mqqX96d6fkTEMyPiGxFxdURcGxE/jojDI+KWg46/6frw/iyLiNdHxAURsSEifhsRp0fEnoOOXdLC9eGz3tpMnpyYe3r12o7VMbaJiJdHxPci4rqI+GP17xcOMvZR4ne3/vF71sLYwzfmIuJfKddjnAn8F+X6jEOArwL7be76jIhYATymy6btKLMYXQ3slpk39jvuSdHL+1M9/y3A64H/Bj4F3AhMA/8AfBvYJ/0QL1mPn58A/hN4PPBp4GxgF+AllM/QQzLzJwN9AZIWpA//F7eAewKHddn82cz8XV8DHlF9aMdtgc8A+wInA98CtgHuCtyQma8fXPSjw+9u/eP3rAXKTB9j+qAkn43A6R3rDwESeOYSj/uM6vn/XPdrHOdHr+8PJQleB3wX2Kpj20nVMe5b9+sc10cf3p8nVft9oGP9X1NuZn1O3a/Rhw8f/cmVQAu4rO7X0oB2PBr4M7Bv3a9nnNtxnuNO3Hc3v2ct/OGQzvH2DCCAd3asP4HyhfPAJR734Gp54hKfr6LX92cZsD1wRW56huryanldr0FOsF7fn32r5YfaV2bmpZQzi4+OiDv2IU5JvelbrqyGj92y6uGfND21YzXE7hXApzPzS9VQulsMJNLR5ne3/vF71gJZ8I23vSlnNr7TvjIzZ4Dzq+2LEhF7UL7Ifi0zL+pHkBOsp/cnM28AvgLsHxH/GBF3iYjdI+IgyrDBkzLz4oFEPhl6/fxsVy2v77Jtdt2DeglQUl/0K1dOAeuBPwLrI+KMCbtet9d2fDhwC+C71TC8a4BrIuI3EfHWiNhmADGPIr+79Y/fsxbIgm+87QpcnZkbumxbB+xcjZdfjOdRzpZM0hmiQenH+/N/gC8B/wRcDKwF/g04Dnh2H2OdRL2+Pz+ulo9qXxkROzBX6P2vnqOU1Kt+/F+8Fng78FzgacB7KdfvfjvKDe4nQa/teLdqeSjwFOA1lOukvgG8DvhgH2MdZX536x+/Zy3QpJxNaaodgG5/5AAzbfv8aSEHi3K/poMoZ91O7TU49eX92QBcSvmP63OU8eRPAd5YHeMtfYl0MvX6/pxEeR+OiojrgHOAnYEjq+Xs8yXVq+f/izPzuR2rTouIz1Cu7XsH3SfRaJpe23F2+OZtgb0y88Lq51Mi4kvAsyPibdn8ya787tY/fs9aIHv4xtv1zA0r67S8bZ+FehywG/CJzFzM89RdT+9P1VP0DeCWmfmczPxEZv57Zj6NcuPkoyLibvM9X1vU0/uTmb8H9gMuocyMdillWMmOwNuq3a7pS6SSetHvXAlAZn6VMhxs34jYfomxjZNe2/GGavmttmJv1ker5SOXGNs48btb//g9a4Es+Mbb5ZTu6m5/7FOUbu4FnSGqPL9aTtqQgEHp9f15KmWq6m5n7E6lfH4f1nOUk6vnz09m/k9m3o/yPj0SuGtmPpK5BNT5pUbS8PU7V7a7DNgauM0Snz9Oem3HX1XLK7ps+3W1tB397rYYfs9aIAu+8XYu5T18YPvKiFgO3Bc4b6EHiojbA38L/DAzF/w8bVav789Utdy6y7ZtOpZavL59fjLzZ5n5lcz8WbXq8ZTeva/3KVZJS9e3z3oXd6XcZmAS7sPXazvOTqyxW5dts+uu6iXAMeF3t/7xe9YCWfCNt09Sxhof2rH+BZQxyyfProiIO0TEnlX3dTfPpkxPO4lniAal1/dn9jqG53Q59uy6c/sU6yTq5+eHtn0PAfYCjsvMRkznLI25nj7rEXGr6jqpm4mIJwIPBb5QzQrYdD21Y2aupZwEe2BE3L9t362rY/wZOHtw4Y8Mv7v1j9+zFqruGwH66O0BvJvyx34G5R4sxwI3Ui4k36ptvw9X+03Pc5yfUMbX36bu19SkRy/vD+WM07er9V+h3L/o0OrfCZxS9+sb90evnx/gs8DxlOmbXwycWe33H8Cyul+fDx8+yqPH/4ufRLlG91+r/4dfCnwE+AvwG2Bl3a9vHNqxWn8/yq0tfge8iXKD7K9V+x5Z9+sbl3Zs2z7x3938nrWwRyO6KSfcoZRrCFYDTwSupvzxH56b3kSyq4h4CHB34ONZJqJQ/yz5/cnMv0TEfpTpqp9MmRI8KdMG/yNlZjj1ptfPzzcp04ofVP18AeXL4Acy8y/9DlbSkvXyWb8I+C7wN8AKSo/Kr4D3A2/NzHUDinkU9fR/ZmZ+v/rO8ebqWMsp/28+NzM/PKCYR5Hf3frH71kLEFWFK0mSJElqGK/hkyRJkqSGsuCTJEmSpIay4JMkSZKkhrLgkyRJkqSGsuCTJEmSpIay4JMkSZKkhrLgkyRJkqSGsuCTJEmSpIay4JMkSZKkhvr/qoz9gitBwo8AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1080x1080 with 6 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df['GiBUU_Pb_electron'].hist(figsize=(15, 15),density=True,alpha=0.5,bins=100)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(8,6))\n",
    "\n",
    "for target in ['C','Fe','Pb']:\n",
    "    r, err,x = getRatio(df['GiBUU_%s_hadron'%target].query('pid==211'), df['GiBUU_D_hadron'].query('pid==211'), \n",
    "                        df['GiBUU_%s_electron'%target], df['GiBUU_D_electron'],\n",
    "                        mybins=np.linspace(0.1,1.0,20))\n",
    "    plt.errorbar(x,r,yerr=err,label='This work,  %s'%target,fmt='o',ms=8)\n",
    "\n",
    "plt.xlabel('$z$',fontsize=18)\n",
    "plt.ylabel('$R_{h}$',fontsize=18)\n",
    "\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.savefig('Rh.png')\n",
    "#plt.xlim([0.05,0.5])\n",
    "\n",
    "#plt.xscale('log')\n",
    "#plt.savefig('ComparisonWithHermes_Log.png')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Rh vs z for both pi+ and pi- "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-6-794e30d924cd>:15: RuntimeWarning: invalid value encountered in true_divide\n",
      "  err_A = np.true_divide(np.sqrt(y_A),y_A)\n",
      "<ipython-input-6-794e30d924cd>:16: RuntimeWarning: invalid value encountered in true_divide\n",
      "  err_D = np.true_divide(np.sqrt(y_D),y_D)\n",
      "<ipython-input-6-794e30d924cd>:19: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ratio_conditional = np.true_divide(y_A,y_D)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0.10277778 0.20833333 0.31388889 0.41944444 0.525      0.63055556\n",
      " 0.73611111 0.84166667 0.94722222]\n",
      "proton [nan nan nan nan nan nan nan nan nan]\n",
      "[0.10277778 0.20833333 0.31388889 0.41944444 0.525      0.63055556\n",
      " 0.73611111 0.84166667 0.94722222]\n",
      "proton [nan nan nan nan nan nan nan nan nan]\n",
      "[0.10277778 0.20833333 0.31388889 0.41944444 0.525      0.63055556\n",
      " 0.73611111 0.84166667 0.94722222]\n",
      "proton [nan nan nan nan nan nan nan nan nan]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(8,6))\n",
    "\n",
    "\n",
    "colors = {}\n",
    "colors['C'] = 'red'\n",
    "colors['Fe'] = 'blue'\n",
    "colors['Pb']= 'black'\n",
    "\n",
    "ratio = {}\n",
    "\n",
    "for target in ['C','Fe','Pb']:\n",
    "    r_pip, err,x = getRatio(df['GiBUU_%s_hadron'%target].query('pid==211'), df['GiBUU_D_hadron'].query('pid==211'), \n",
    "                        df['GiBUU_%s_electron'%target], df['GiBUU_D_electron'],\n",
    "                          mybins=np.linspace(0.05,1.0,10))\n",
    "    \n",
    "    plt.errorbar(x,r_pip,yerr=err,label=r'$\\pi^{+}$'+'%s'%target,fmt='-',ms=8,color=colors[target])\n",
    "    \n",
    "    \n",
    "    #r_pim, err,x = getRatio(df['GiBUU_%s_hadron'%target].query('pid==-211'), df['GiBUU_D_hadron'].query('pid==-211'), \n",
    "    #                    df['GiBUU_%s_electron'%target], df['GiBUU_D_electron'],\n",
    "    #                    mybins=np.linspace(0.05,1.0,10))\n",
    "    \n",
    "    #plt.errorbar(x,r_pim,yerr=err,label=r'$\\pi^{-}$'+'%s'%target,fmt='-',ms=8,ls='--',color=colors[target])\n",
    "    \n",
    "    \n",
    "    r, err,x = getRatio(df['GiBUU_%s_hadron'%target].query('pid==2112'), df['GiBUU_D_hadron'].query('pid==2112'), \n",
    "                        df['GiBUU_%s_electron'%target], df['GiBUU_D_electron'],\n",
    "                        mybins=np.linspace(0.05,1.0,10))\n",
    "    \n",
    "    plt.errorbar(x,r,yerr=err,label=r'p '+'%s'%target,fmt='-',ms=8,ls='--',color=colors[target])\n",
    "    \n",
    "    print(x)\n",
    "    print('proton',r)\n",
    "    #print ('pi+', r_pip)\n",
    "    #print ('pi-', r_pim)\n",
    "    #r = np.true_divide(r_pip,r_pim)\n",
    "    #ratio[target] = r\n",
    "    \n",
    "plt.xlabel('$z$',fontsize=22)\n",
    "plt.ylabel('$R_{h}$',fontsize=22)\n",
    "plt.legend(loc='best',ncol=3,frameon=False)\n",
    "#plt.ylim([0.0,3.0])\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.savefig('Rh.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-6-794e30d924cd>:15: RuntimeWarning: invalid value encountered in true_divide\n",
      "  err_A = np.true_divide(np.sqrt(y_A),y_A)\n",
      "<ipython-input-6-794e30d924cd>:16: RuntimeWarning: invalid value encountered in true_divide\n",
      "  err_D = np.true_divide(np.sqrt(y_D),y_D)\n",
      "<ipython-input-6-794e30d924cd>:19: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ratio_conditional = np.true_divide(y_A,y_D)\n"
     ]
    },
    {
     "data": {
      "image/png": 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E0AraZEcpZQX+CizRWr/dj/0uVUrlK6Xyy8rKvBKL1pr65cspe/xxCi68EGdzs3udzJMlhBBCDK2gTXaAG4Ec4Ir+7KS1fk5rPUtrPSslJcUrgSilKLnjTsqffoaG5SsoueNO97qZI2diVVYAtlZtpaKxwivPKYQQQghDUCY7SqlxwG3A3V7u/zNgkXmz3Y/tRUXt5bZIpqZMdS+vKlnl07iEEEKIYBeUyQ7wEFAJvKeUGtd2w+ioHOpaTvNlQJGz25MdQjq+7dKUJYQQQgydYE12soB0YBOwzeM2CqNpaxtGfx6f8Ux2GteuQ7e0uJdlniwhhBBi6FjNDmCwXDU0ccAerXXbQDU3APFdbP400ARcBxT7JkKDLS0N2+jR2AsL0U1NNG7cROSM6QBMSZ5ChDWCxtZGiuqK2HtgLxkxGb4MTwghhAhafpnsKKXOx6idAUjBaHpqGyenQGv9qsfm9wIXAMcBSwG01p90c9wHgTqt9TtDEXdvImfPpqawEICGlSvdyY4txMaskbP4suhLwLgEXZIdIYQQwjv8tRnrYuD/XLcRGLU0bcsXmxjXoHg2ZTWs6tgRWcbbEUIIIYaGX9bsaK3n9mPbBcCCPm6bPaCAvMTziqyGtWvRdjvKZgM6dlJeWbISp3ZiUf6aiwohhBCBQ/6b+pBt1Cis6cZFYLqhgabvvnOvy0nIITE8EYDKpkq2VW0zJUYhhBAi2Eiy40NKKaK6acqyKAt5qe0Tg8pVWUIIIYR3SLLjY579duql344QQggx5CTZ8bEO4+2sXoN2ONzLnslOfmk+dofdp7EJIYQQwUiSHR+zZWZiHTECAGddHU3fb3avy4jJYFT0KAAaWxvZUL7BlBiFEEKIYCLJjo8ppXq8BN3zqixpyhJCCCEGT5IdE/R1vB3ppCyEEEIMniQ7Jugw3s7q1Win073seUXWt2Xf0mBvQAghhBADJ8mOCULHjCEkORkAZ00NzVu3utclRSSRm5ALQKtuZXXpalNiFEIIIYKFJDsmUEoROWuWe7lhpTRlCSGEEENFkh2TRM72SHakk7IQQggxZCTZMUnnTsqe/XZmjZyFVRnTlm2p2kJlU6XP4xNCCCGChSQ7JgkbN46Q+HgAHNXVNG/f7l4XaYtkSsoU9/LK4pU+j08IIYQIFpLs+EiT3cFLy3ax8D1joEBlsfS5KUv67QghhBADJ8mOD9Q1tzL3gaXc+f53vPHNHjYW1QCdm7LyO+wj82QJIYQQ3iHJjg9Eh1mZmZXgXr76b2sBiMxrH1OnYdUqtNbu5anJU4mwRgBQWFdI4YFCH0UrhBBCBBdJdnzkd/PGuR/vKKtn074awnJzscTFAeCoqKBl1y73NrYQGzNHznQvS+2OEEIIMTCS7PjIhNRYTp6c6l5+/NNtRr+dme0JTefxduQSdCGEEGLwJNnxoavm5bgff7SplO/21fZ5nqxvSr7BqZ0IIYQQon8k2fGhiWmx/PDQjrU7B42349FvJzchl4Qwo69PZVMl26q2+S5YIYQQIkhIsuNjnrU7izeVsDs+HUt0NACt+/dj37PHvd6iLOSltXdilqYsIYQQov8k2fGxSemxzD90pHv58aU7iZg5w73cU1OWjLcjhBBC9J8kOybwrN35cGMJ9eOnupd7Glxwdelq7E770AcohBBCBBFJdkxwaHocJ01qr915uzXZ/bi+U7KTEZPBqOhRADS0NrCxfKNvghRCCCGChCQ7JvGs3XmlPALCjQEEW/cV01JY1GHbDk1Z+6QpSwghhOgPSXZMMnlUHCe6ancclhD2pLcPOtiwsuPEnzJPlhBCCDFwkuyY6GqP2p3Pwke7H3fut5OX2n5F1rfl39Jgbxj64IQQQoggIcmOiSaPiuOEiUbtzoakQ9zlnZOdpIgkchKMxKjV2crq0tW+C1IIIYQIcJLsmKytdmdrQgZNITYA7IWF2IuLO2wnU0cIIYQQAyPJjsmmjI7jhIkjaLVY+T4x213e0yXo35RIsiOEEEL0lSQ7fuDqeblAz01ZM0fOxKqsAGyu3ExlU6XvAhRCCCECmCQ7fmDK6DiOnzCCDckeyU6nGdCjbFFMSZniXl5Z0vGKLSGEEEJ0TZIdP3H1vBy2JGTSYjFqb1oKCrDv399hmw6zoEu/HSGEEKJP/DLZUUrdpJT6u1Jqp1JKK6V293P/BKXU1UqpJUqpvUqpRqXUFqXUc0qpjCEKe1CmZcRz1KR0NidkussOmicrVQYXFEIIIfrLL5Md4B7geGAHUDWA/Q8DHgI08CRwJfBf4Dxgg1Jqkpfi9KqrT8hlQ/JY93LJ/5Z3WD8tZRoRVmOk5cK6QorqOo60LIQQQoiD+WuyM1ZrnaS1PhHYN4D9NwPjtdbztdZ/1lq/oLW+FvgJEAf8yZvBessPMuKxTG+fAb1iWcfaG1uIjRkj29dLU5YQQgjRO79MdrTWOwe5/26t9Y4uyj8BKoHJgzn+UDr9nPnYVQgACeVFbN+6p8P6OakeU0dIU5YQQgjRK79MdoaKUioOiAFKzY6lO9Nz0yhJb78q67+vfdhh/Zz0juPtaK19FpsQQggRiIZVsgPcAtiAl7vbQCl1qVIqXymVX1ZW5rvIPKQec7j7cVP+KnaW1bmXcxNySQhLAKCyqZJt1dt8Hp8QQggRSIZNsqOU+jlwPfAR8FJ322mtn9Naz9Jaz0pJSfFZfJ4OmXeM+/Hk8p08+dl297JFWZidOtu9LE1ZQgghRM+GRbKjlPoR8DqwGjhT+3nbT+T0H6AtRr+dMbXFfPbN1g61O52bsoQQQgjRvaBPdpRSPwTeBTYBJ2mta00OqVeWqCgiphzqXp5UvpMnP2+v3fHspJxfko/dafdpfEIIIUQgCepkRyk1H3gP41L0E7TWAxmzxxRRs9ubqqaU7+Sfa4vYVV4PwOiY0aRHpQPQ0NrAxvKNpsQohBBCBIKAT3aUUmlKqQlKqchO5ScB/wS2AvO01gE1c2ZkXp778ZSKHTg17r47SqkOTVkriqXfjhBCCNEdv0x2lFLnK6VuUUrdAqQAcW3LSqnzO21+L/A9kOex/yzgX4DC6Ix8slLqPM+bj17KgEXMmAEW4/SMqSkmuqWBf64rYrerdsdz6ggZXFAIIYTontXsALpxMXBsp7L/c91/Abzay/6TgXDX40e62ea1gYXmGyHR0YRPmkTTxo1Y0BxasYtv0g7lyc+38+AvppGX1l7zs75sPQ32BiJtkT0cUQghhBie/LJmR2s9V2uturnN7bTtAlf5Uo+yRT3sr7TWytevaSAiPfvtVBiDSr+3toiCinqSI5LJScgBoNXZypr9a0yJUQghhPB3fpnsCINnsnP4gQIAHE7t7rsjTVlCCCFE7yTZ8WORs2aCMiqh0sr2EGlvAuDdtUXsqWhgTpp0UhZCCCF6I8mOHwuJjSVswgQAlNPJGaEVgKt25/NtzEqdRYhr0tDNlZupagqYK+uFEEIIn5Fkx89Fzp7lfvwz637343fXFFFRq5iSPMVdtrJkpU9jE0IIIQKBJDt+zrPfTsLWjcw5JBGAVqfmqc+3c1hae78dacoSQgghDibJjp+LnNVes9O4aRNXH5nhXv7HmkIOiZ7uXpZOykIIIcTBJNnxc9aEBMJyjEvMaW1lSnUBh41pr9354tsIIqwRAOw9sJeiuiKzQhVCCCH8kiQ7AcCzKath5SquPiHHvfyP1SVMSpjmXpbaHSGEEKIjSXYCQGSeR7KzahWHH5JEnkftTkPtIe710m9HCCGE6EiSnQDQod/Ohg3opiaumddeu7N2S7L78TfF36C19ml8QgghhD+TZCcAWJOTCR071liw22lcv57DxyaRl23U7tgbU7GpaAAqmyrZVr3NrFCFEEIIvyPJToDwHG+nYeUqlFIefXcsNNWOca+XfjtCCCFEO0l2AkSHTsqrVgFwxNgkZmUlAGCvG+deL8mOEEII0U6SnQDhmew0rl+Ps7kZpRTXnJALQGv9WPf6VSWrWFWyiqK6IlqdrT6PVQghhPAnVrMDEH1jGzGC0KwsWgoK0C0tNH37LZGzZ3PkuCRmZiWwukDjbInHElpNQ2sDF310EQAhKoSRkSNJi05jVPQo0qPTSY9KN+6j00mNTMUWYuvwXLVNdkpqmthX3UhxTRPF1Y3sq2miuKaR4uomyg40M25kNNedmMvROSlmvB1CCCFEn0myE0Ai82bTUlAAQP2qVUTOnu2q3cnh/BdW0nrgUEKTlnXYx6Ed7Kvfx776fawuXd3FURXhKoEQZxKOlngaG2JpborDaU/A2ZKAbo0HffDHZO2eas5/YSXHTxjBwh9NZNyI6KF4yUIIIcSgSbITQCJnz6b67+8A7f12AI4al8yMzHjWFJ6EdsSQkVpNaHg1lc2lNDh6mwld06QrQVVCGKgwCO+0hdMeg7YnGAmQPQFtT6C1LhfdmsBnm/fzv61lnDcni2tOyCE+MtS7L1oIIYQYJCVjsnRv1qxZOj8/3+ww3OzFxWw/7ngAVHg441d+gwo1kov/bS3jVy92Meu5sqNs1Vhs1VhsVShbVcd76wGU6v9nQBFCQ+HZtB6Y7C6Li7BxzQk5nDcnC1uIdAcTQggBSqnVWutZvW85dKRmJ4DY0tKwjR6NvbAQ3dRE48ZNRM4wJgI9OieZ6ZnxrN1T3XEnbUO3pOBoScEB2EIUybHhpIdGkBYdzohYK9FRdVjDqnFaKmminMrmEvbV7aO4vpjShlKc2nlQLBoHkaPfYHTL5Xy3YzQANY127nz/O15dUcDNP5rI8RNGoJQa6rdFCCGE6JEkOwEmcvZsagoLAaMpqy3ZUUrx0C+mccGLK2l1aqLDrMwdn0JaXARpceGkxUeQHhdOcnQYFkvfExC7005pfSnF9cUU1RWxr24fr3//OrUttWiclIQ/y7U/+RPvLouioKIBgJ1l9Vz8cj5H5yRzy48nMT41xvtvhBBCCNFH0ozVA39rxgKofvc9ihcuBCDqqKPIfP6vPo+hpL6EBYsXuGdYDwsJ47G5T7JpZwpPfLqdA83tl7tbFPwyL5PrTswlOTrM57EKIYQwlz80Y0nHigDjOSlo45o1aLvd5zGkRqXywvwXSItKA6DZ0cy1X1zFrPE1LL1xLufNyaSt8sip4Y1v9nDcA0v5yxc7aG51+DxeIYQQw5skOwHGNmoU1jQjyXA2NND03XemxDEqehQvnPQCIyJGANDY2sjln15OUeMW7vrpFD68+hiOzmmfoPRAcyv3fbiZEx/+Hx9uKJbJSoUQQviMJDsBRinVcZ4sj0vQfS0jNoPn5z9PUngSAPX2en7z8W/YVLGJ8akxvHJRHi8tmM0hKVHuffZUNvDb19dw1nMr2FBYY1boQgghhhFJdgKQ59QR9SYmOwBj4sbw/EnPkxBmzNF1wH6AS5dcypbKLSilOG7CCD665hjuOHUS8ZHtIzWv3FXJT576ihv+vp7S2iazwhdCCDEMSLITgKLy8tyPG1evQTvM7QczLmEcfz3pr8SGxgJQ21LLr5f8mu1V2wGwhVhYcOQYlt4wl4uOHIPV1aFHa3hndSHHPbiUxz/dRmOL9OcRQgjhfZLsBCBbZibWEUZfGWddHU3fbzY5IhifOJ7nTnqOGJtxmXlVcxWXLLmEXTW73NvER4Zy26mT+OjaYzhh4gh3eUOLg4c/3srxDy3ln2uLcDqlP48QQgjvkWQnABn9dtqbsszst+Pp0KRDeebEZ4i0RgJQ0VTBJR9dwt7avR22G5sSzfMXzOa1iw9jgscYPMU1TVzz1jp+9szXrC7obZoLIYQQom8k2QlQ/pjsAExLmcYzJzxDhDUCgP2N+7l4ycXuMXk8HZWTzH+uOpp7Tp9CUlT7nFrr9lZzxjNf87s311JY1eCz2IUQQgQnSXYClOd4Ow2rV6OdB0/pYJYZI2fw5PFPEhZiDCJYXF/MxR9dTEl9yUHbhlgU5xyWyec3zuWyYw8h1GNOrffX7+PYB5Zy/+LN1HkMVCiEEEL0hyQ7ASp0zBhCko1xbJw1NTRv3WpyRB3lpeXx+HGPY7MYV2AV1RVxyZJLKGso63L72HAbN508kU+uO5YfTUl1lzucmqeX7mDuA5/z5so9OKQ/jxBCiH6SZCdAKaWInOUx3rgJLaMAACAASURBVM5K/2nKanPEqCN49LhHsVqMKdgKagu4ZMklVDRWdLtPZlIkT587k7cvO5ypo+Pc5eV1Ldz07gZ+/PiXfLWtfMhjF0IIETwk2Qlg/jK4YE+OGX0MDx7zICEqBICdNTv59ce/prqpusf98sYk8s/Lj+ThM6eRGhvuLt9ccoDzXviGixatYvv+uiGNXQghRHDwy2RHKXWTUurvSqmdSimtlNo9wOP8SCn1tVKqXilV6TrmGC+Ha5oOnZTz8/12CoZ5WfO475j7sCjj47atahuXfnwpNc09j6BssSh+NmM0n98wl+tOzCXCFuJe99nm/cx/9H/c/q+NVNW3DGn8QgghAptfJjvAPcDxwA5gQNcgK6V+BnwARAA3Ag8AxwDLlFLpXorTVGHjxhESHw+Ao6qKlu3bTY6oez/M/iF3H3U3CmNAwe8rv+c3H/+GAy0Het03IjSEq+blsPTGufxi5miUa5JRh1Pz8vICjn3gc57/cictrf7TSVsIIYT/8NdkZ6zWOklrfSKwr787K6VswBPAXuBorfXTWut7gfnASOAObwZrFmWxdGjKMnvqiN6ccsgp3HnEne7ljRUbufyTy6m31/dp/5Gx4Tzwi2m8f+VRzDkk0V1e29TKXf/5nhMf+YLFG0v8toZLCCGEOfwy2dFa7xzkIY4F0oHntdbujh1a63XAUuAsV0IU8Do0ZflhJ+XOTs85nVvn3OpeXle2jis/vZLG1sY+H2PyqDje/PUcnjt/JtlJke7ygooGfvPaaplkVAghRAd+mex4QVsGsLyLdSuAWCDXd+EMnc6DCwZCrcaZ48/kj3l/dC/nl+Zz1WdX0exo7vMxlFKcdGgqS649lltPmURsuNW9rm2S0evfXk9JjUwyKoQQw12wJjttfXIOHra3vWyUj2IZUmG5uVhijQk4HRUVtOza1cse/uHciedy/czr3csrildwzefX0OLoX2fjUKuFi48awxc3HseCI7I7TDL6jzXGJKOPfLyVhhYZlFAIIYarYE122to2uqoqaOq0TQdKqUuVUvlKqfyysq4HwPMnKiTE78fb6c6CyQv43fTfuZe/KvqK67+4HrvD3u9jJUSFcsdPDnVNMjrSXd5od/DYp9s47sGlvLO6UCYZFUKIYShYk522CZXCulgX3mmbDrTWz2mtZ2mtZ6WkpAxJcN7mr/Nk9cWlUy/lsqmXuZeX7l3KH778A63OgdXEGJOMzuL1Sw5jYlqsu7y0tpkb/r6enzz1FSt2dj+ooRBCiOATrMlO2xVcXTVVtZV11cQVkAKx346nK35wBRdOvtC9/HHBxyz8aiEOp2PAxzxyXDIf/O4o7j9jKikx7TnvxqJafvncCi57NZ/d5X27CkwIIURgC9Zkp6164/Au1s0BagH/mkxqEMInTsASHQ1A6/792PfsMTmi/lFKce2Mazlv4nnusg93fchtX9+GUw987JwQi+LM2Rl8fsNcfnf8OMKs7R/3jzaVcuIjX3DHvzext1JmVhdCiGAW8MmOUipNKTVBKeXZB+cLoBi4RCkV7bHtNGAu8Hetdf87hvgpFRJCxMwZ7uVAa8oCI+H5/ezfc9b4s9xl/97xb87+z9mDrqmKDrNy/Unj+fyGuZw+vb2yz+7QLPp6N8fc/zmXvpLP1zvKA65WTAghRO/8MtlRSp2vlLpFKXULkALEtS0rpc7vtPm9wPdAXluBK5G5GsgAvlRKXa6U+iOwBCgDbvfJC/GhqADut9NGKcXCwxZyRs4Z7rLvKr7j/lX3eyUJSY+P4JGzfsA/rziSWVkJ7nINLPmulHP++g0/fPRL3ly5h8aWgTehCSGE8C/KH3/JKqWWYgwM2JUvtNZzPbZdBFwAHKe1XtrpOKcAtwBTMa7M+hT4g9Z6R1/imDVrls7Pz+9n9OZoXL+e3Wf9EgBreho5n31mckQD53A6uGXZLXyw8wN32UWTL+KaGdeg2uaKGCStNZ9v2c9Ly3bzZRezqMdF2PhlXga/OjybUfERXnlOIYQYjpRSq7XWs3rfcghj8Mdkx18EUrKj7Xa2HDYH3WD0Pxn99NPEHH+cyVENXKuzlT/87w8sKVjiLrt82uX89ge/9fpzbd9/gJe/LuAfawpp6FSjY1Ew/9BUFhyRTd6YRK8lW0IIMVxIsuPnAinZAdhzya+p/+or93L08ccz8o9/IDQz08SoBs7utHPd0utYunepu+yaGddw8ZSLh+T5ahrt/D1/Ly8v383eyoOnr5iYFsuFR2Tzkx+kE+4xA7sQQojuSbLj5wIt2alfuZK9F1+Ctrf3vVY2G4kLFpB02WWEREeZGN3AtDhauOqzq1i2b5m77A+z/8B5k87rYa/BcTg1n23ez6Kvd7Fs+8Fj8iRGhXJ2XgbnzckiLU6auIQQoieS7Pi5QEt2AFrLytj/yKPUvPtuh3JrSgojbrie2FNPRVn8sl96txpbG7ny0ytZWbLSXXbrnFs5c/yZQ/7cW0oO8PLy3by7ppAme8fL4EMsih9OTuXCI7KZmZUgTVxCCNEFSXb8XCAmO20aN2yg9K67aVy/vkN5xLRpjLzlZiKmTDEpsoFpsDfwm09+w9r9a91ldx15F6eNO80nz1/d0MJbq/byyvICiqoPbuKaMiqOBUdkc8q0NMKs0sQlhBBtJNnxc4Gc7ABop5Pa999n/4MP0dppnq+4009nxHXXYg2QKTEADrQc4NIll7KxYiMAFmXhvqPv4+QxJ/sshlaHk0++N5q4VuysPGh9cnQo5+Rlcu6cLEbGhndxBCGEGF4k2fFzgZ7stHHU1VPx7LNULlrUoT+PJSqK5Mt/S+L556NCQ02MsO9qmmu4+KOL2VK1BYAQFcJDxz7EvKx5Po/l++JaXv56N++tLaK5tWMTl9Wi+PHUNBYckc30zIRujiCEEMFPkh0/FyzJTpuWggJK/3w/dZ3G4AnNymLETX8kZu5ccwLrp8qmSi5afBE7aozhkqwWK48d9xjHjD7GlHiq6lt4c9UeXl1eQHFN00HrJ6TGcGxuCkflJDM7O1Gu5BJCDCtBlewopRKAG4FcjFGKNwLrgfVa6wNeeRIfC7Zkp03dV8sovfdeWnZ0HFsx6pijGfnHmwg7ZIxJkfVdeWM5CxYvoKC2AIBQSyhPnfAUc9LmmBZTq8PJku9KWbRsNyt3H9zEBRBmtTA7O5GjcpI5alwyk9JisVikY7MQIngFW7LzH+B44DMgETgUiMYYjX83sFZr/XOvPJmPBGuyA8YghFVvvEHZk0/hPOCRi1qtJJ5/PsmX/5aQmBjzAuyDkvoSFixeQFGdMYF9eEg4fznxL8wcOdPkyGBjUQ0vf72bd9cW4XB2/x1LigrliHHJHD0umaNykkmX0ZqFEEEm2JKdOuAqrfWLHmXjgB8A04GpWutTvfJkPhLMyU6b1ooKyh59jOp33gGPz0JIUhIjrruWuNNP9+tL1YvqirjgwwsobSgFINIayXMnPce0lGkmR2aoa25lxY4KvtpezpfbythRVt/j9oekRLkSnxTmHJJITLjNR5EKIcTQCLZkZztwhdb6I68c0A8Mh2SnTeOmTZTefQ+Na9Z0KA+fPJmRNy8kcvp0kyLrXUFtAQsWL6C80ZjjKsYWw/Pzn2dS0iSTIzvYvupGvtpezlfbylm2vZyK+pZutw2xKKZnxHNUTjJH5yQzbXQ81hD/TTyFEKIrAZ/sKKVStdYlrsc3AuO11pd4KzizDadkB4zJMWv/81/2P/AAraWlHdbF/uRURlx/A7aRI0yKrmc7qndw4eILqWquAiA+LJ4X5r9AbkKuyZF1z+nUfF9Sy1fbyvlqezkrd1UedFWXp5gwK3PGJnG0q7/PmOQoGchQCOH3giHZcQKlwBqMzsjnAK8D92qt67wSoYmGW7LTxtnQQPlf/0rlCy+iW9prHlRkJMmXXUbigguwhIWZGGHXtlRu4aKPLqK2pRaAxPBEXvrhSxwSd4jJkfVNk91B/u4qvtxWxpfbyvmuuLbH7UfFR3CUq69P3phERsSESfIjhPA7wZDsnAxMo71fzljAAjQBKzASoHWu+01aa3s3h/JLwzXZadNSWMj+P9/PgY8/7lBuy8hg5MKbiDnO/2ZV31i+kV8v+TV1diPXHhExgkU/XERGbIbJkfVfeV0zy1xNXl9tL+/ysnZP8ZE2ckfEkJsazfiRMeS6bglRgTGGkhAiOAV8snPQwZSKxEh+pmMkQD8AJgPhgF1r7X/VAT0Y7slOm/oVKyi9+x6at23rUJ52993En/Ezk6Lq3rr967j040tpbDWmdUiLSmPRDxeRHp1ucmQDp7VmR1k9X20r46vt5SzfUUF9i6NP+6bEhHkkP9HkphqPo8OsQxy1EEIEYbLT5RMoZQEmAdO01q8P6ZN5mSQ77XRrK1V/e4uyJ57AWVNjFFosjH78MWJOOMHc4LqwqmQVv/3ktzQ7mgHIiMngpfkvMTJqpMmReYfd4WTd3mq+3FbOO/l7Ka9rocXRfX+froyKj3AnP23J0LgR0TLooRDCq4ZFshPIJNk5WGtVFXsuupjm778HQIWGkvHXvxJ1WJ7JkR3s66KvufKzK7E7jdbTMXFjeHH+iyRHJJscmfdprdlX08TWkgNsKT3AVtdtW2ldj52eO7MoyEqKMpIgVwI0PjWGMclR2ORKMCHEAARUsqOUsgHjgGat9c4+7qN0AGdTkux0rbW8nN3nnou9YA9gzLGV9eorhE/yv0u9l+5dyrWfX0urbgUgJyGHF096kfjweJMj8w2HU7OnssFIfjwSoZ1l9bT2MNhhZ7YQRWZiJFlJUWQlRZLl8Xh0QiShVkmEhBBdC5hkRyl1NfAnjBGRAYqAW7TWr3SxbThwEvBT4Mda64BtN5Bkp3sthYUUnH2Oezb1kKQksl9/jdDsbHMD68KS3Uu48X834tRGDcfExIk8P/95YkNjTY7MPC2tTnZX1LOlxEh+2u4LKhvo788Ti4K0uAiykyPJTDQSoOyk9sdR0jdIiGEtIJIdpdTpwD+6WKWBC7XWryilQjCSm3OA+UAEoACttQ7YDgCS7PSsactWCs4/H2etcYm0bdQost54wy/H4vlg5wcs/HIhGuPzPjVlKs+d+BxRtiiTI/MvjS0OdpTVuZMf41ZHUXXjgI+ZHB1q1AIlRpKZFEl2UhSZrtqhxKhQuVxeiCAXKMnOp8BxwL+AezBqdXKAhcBs4FjgXaBtMBMFNAKLgXe01m8OSeQ+IMlO7xrWrGXPRRehm4zLosNycsh67VVC4uJMjuxg7217j9u+vs29PHPkTJ454RkirDIfVW8ONNkpqGigoKKB3RX17KlooKDSuN/XyyXxPYkJsxqJj6smaFR8OMnRYSTHhJEcHUZSdCgxYVZJiIQIYIGS7FQC1UCu1q6OD+3r3gdmASMxanqWAM8DH2qtG4YkYh+SZKdv6r74gr1XXAmtxscjYvp0Ml94HktkpMmRHexvm//G3d/c7V4+LO0wHjjmARLCE0yMKrA12R0UVrUlQg3sqainoNJYLqxqwO4YXLe9UKuFFFfikxwdRnJ0KEnRYe7HyR6P4yNDCZFZ5IXwK4GS7DgwamjO6mLdDCAfcAKna63fH5IoTSLJTt/VvP8++278vXs56pijyXjqKZTN/yayfHnTyzyY/6B7OcIawd1H3c2JWSeaGFVwcjg1+6ob2VPpUSPUVjtU2UBDH8cK6iuLgsQozyQo1FVD5HocE0ZqbDhZSZFEhkpfIiF8IVCSHSewSGt9URfrrEAL8JXW+pihCdE8kuz0T+Urr1J6zz3u5dhTTiH9/j/75azpz294nsfWPNah7KSsk1h42EKSIpJMimp40VpTXtfCnsp6dpc38Fb+XuqbW2locRAXYaO8rpnyumaa7P0bP6ivUmLCOvQjMprSjMfxkTZpOhPCSwI+2fFY/6rW+oIhiM9Ukuz0X9njj1P+9DPu5YTzzmPkzQv98h/H/wr/x53L72R/w353WUJYAgsPW8j87Pl+GfNwo7WmocXhTnzK61qM+wMtVNQ3ux+X1zdTfqCZ2qbW3g/aBzHhVtcl9q5L7T2uLkuNDcciTWVC9FkgJTvrgSeBjRhzXNV1Wt9tMhTIJNnpP601JXfeSfXf3nKXJV/1O1Iuv9zEqLpX21LLg6se5L3t73UoPyHzBG6ec3NQDkAYzJpbHVTWtxgJUKcEqaKumdUFVdQ2tXKgyU4/hhnqINRqMcYc8hhrqO3qMhlzSIiDBVKy03mjPRiJz0bgD8DrWuvzhyRCE0myMzDa4aDohhs48OFid1nq7beRcPbZJkbVs2VFy7j969spbSh1l8WFxXFT3k38aMyPpJYnyLQ6nBTXNLG7op6Cigb2VDZQ4HpcUNFAo31gfYksCtLjI8hIiCQtLpy0+HDS4iJIjw8nNda4j4uQJjIxvARKsnMhMMN1mwp4DkziuXMpsMp1Wwnka60rvRqtj0myM3DOlhYKf/Nb6r/+2ihQilEPP0TsySebG1gP6lrqeGj1Q7yz9Z0O5XMz5nLbnNtIiUwxKTLhS1pryuqa2dPF1WUFFfVUNdgHdfwIW4grCXIlQnHhpMZFkBYfTrrrXi63F8EkIJKdDhsb374JtCc/MzBmNvccVMXzgDu11jleiNMUkuwMjrO+noILL6Lp22+NApuNjGeeIfqoI80NrBfL9y3njq/vYF/9PndZTGgMf8z7I6cecqr8ExrmapvsHa8q8xhzqLi2qd8jUHclKjSEtPgI0uKMBCg1Lpx0z1qiuAiZtV4EjIBLdro9iFJj6ZgATQeSkRGUh73WqioKzj2Plp3GdGoqMpKsl14kYto0kyPrWb29nkdWP8JbW97qUH70qKO5/fDbg2b2dOFdbWMOFVU3UVzdyL6aJkpqGimuaWJftXHvrcvtU2LCmJmZwKzsBGZmJXBoepz0FxJ+KWiSnS4PrFQGMF1r/e8heQIfkGTHO+zFxew+51xai4sBCImLI+uN1wkbO9bkyHq3snglt319G0V1Re6yGFsMN86+kZ+O+6nU8oh+0VpT29RKsSsBKq5uorimkX3VTZTUNlJc3cS+msYBXW4fZrUwLSOeWVmuBCgzkbhI/xvnSgw/QZ3sBANJdryneedOCs45F0d1NQDW1FSy33gdW3q6yZH1rsHewGNrHuONzW90KD8y/UjuOOIOUqNSTYpMBCOtNTWNdva5EqHiGte9KxEqqWlib1Ujjj5cTpYzItpV85PIrKwEspIiJUEXPifJjp+TZMe7GjdsYM8FC3A2GDOJhI4ZQ9brr2FNTDQ5sr7JL8nntq9vY++Bve6yKFsUN8y6gTNyzpB/IsJnnE7N1v0HyN9dxeqCKvILKtlb2ftkrcnRYczMimdWViIzsxOYLE1fwgck2emGUsoCXA1cBmQDZcDbwG1a6/o+7K+As4ErgVwgDONy+beAR7XWtX2JQ5Id76tfvpy9l16GthtXtIRPnkzmokWERAfG7OONrY08sfYJXvvuNfcM6gBz0uZwxxF3MCp6lInRieFsf20T+QVVrgSokk37amntpfYnzGph2uh4ZmYnMCvL6PsTHxnqo4jFcCHJTjeUUo8BVwHvAR8CE4HfAV8CJ2ite2zQVkrdjTEr+2fAPwE7MBc4C/gGOFz34YVLsjM0ahd/RNG119J22UrknDlkPPcsltDA+SO7bv86bl12K7trd7vLIq2RXDfzOn4x/hdYlPxaFuZqbHGwbm81qwsqyS8waoAO9GGE6XEjot2Jz+zsRGn6EoMmyU4XlFKHAhuA97TWZ3iU/w54HDhXa/1GD/tbgRpgMzDbMzFSSr0GnIvRcXpdb7FIsjN0qt56m5Lbb3cvx5x0EqMeeRgVEjgX7zW1NvHUuqd45btXcHrk33mpedxxxB1kxGSYGJ0QHTmdmm3768gvqGT17iryC6rYU9nQ636RoSEcN2EEh41JJG9MIrkjYmS6jE7uX7wZq0WhlOLaE3PNDsfvSLLTBaXUXcDNwDFa6y89ysOBCuALrfWPetg/AqgHPtRa/7jTuvuBG4FcrfW23mKRZGdolf/lWcoefdS9HH/mmaTeeUfA/Yr8tuxbbl12KztrdrrLIqwRXD3jas6ecLbU8gi/tb+2ydXnx7htKqrptekrLsLG7OwE8sYkMjs7kcmj4rCFDI/PuMOp2VVez5aSA2wuqWWz696zv9Sue2XE9c4k2emCUuoj4AQgUmvd3GndMoxEpcehbJVSS4GjMZqy/gG0YjRjPYlRY9SnqS0k2RlaWmv233cflS+/4i5LuuwyRlx7jYlRDUyzo5ln1j3DS5te6lDLM3PkTP50xJ/IjM00MToh+qaxxcH6wmpWF1Txdv5eimuaaGnt+TL4CFuIu8krb0wi0zPjCbcFTg1td8rrmtlc3J7UbCk5wNbSAzT38n4ck5vC/WdMJTUu3EeR+j9JdrqglNoAjNBaHzRqm1LqbeAXQJjWuqWHY4wCXgbmeRRr4G6MTs59etGS7Aw97XRSfNNN1PyrfTimkTf9kcQLLjAxqoHbWL6RW5fdyvbq7e4yq7IyL2seZ084mxkjZsivPhEwHE7N5pJaVu6qZOWuSlbtrqS8rts/vQDYQhTTRscz29XsNTMrgdhw/x3vp8nuYPv+Or4vrnXV2Bi38rrm3nfuRlyEjf/76WR+Ms3/h9bwBUl2uqCU2gHYtNYH/RRWSr0CnA8kaK2rezhGMnAPxlVYizESnTOAnwO3aK3v7mHfS4FLATIzM2cWFBQM4tWIvtB2O4VX/o66L75wl6X/+T7iTjvNxKgGrsXRwrPfPssLG17AoTuOlpuTkMPZE87mx2N+TKQt0qQIhRgYrTU7y+uNxGdXJd/sqqSouudL3i0KJqbFkjcmkcPGJDIrO5Hk6DAfRdxOa01hVaORzBTXsrnUuN9VXk8fhixyGxkbxvjUWCamxjA+NYYJqbH8e30RK3dVsmZPx39Lp0xN466fTh72V7hJstOFwdbsKKUigXXAGq31Lzut+5tr/0la6y29xSI1O77jbGxkzyW/pnH1aqMgJITRTz5BzHHHmRvYIHxX8R3XfH4NxfXFB62LscVw2rjT+OWEX5IVm2VCdEJ4R1F1ozvxWbW7ku3763rdZ2xKFHljksgbk8CY5GgcTid2h6bVoWl1OtvvnUaZ3eHE4dTYnZpWR9t647HdqXG49rE7jMee223cV8OBplYq6lpocfR9ZOoIWwi5qTFMGBnDhLT2xCYxqvvEZcXOCq5/e32HBHBETBh//vlUjhs/os/PHWwk2enCYPvsKKV+hdGE9XOt9T86rTsDeAe4RGv9Qm+xSLLjW47aWgrO/xXNW4w8VIWFkfHcc0QdlmdyZIOzpXILf9vyN/6z8z80th78K/iI9CM4e8LZHD3qaEIsgd/XQQxv5XXN5O9uT36+21fbr5oTX1MKshIjmZAay/jUGCamxTA+NZbMxEhCBnDV2YEmO3d98D1v5e/tUH7OYZnc/KOJRA3DCVwl2elCH67G+p/W+uQe9r8JownrLK31253WnQX8DfiN1vrZ3mKRZMf37Pv3U3Duedj3uv5QWK1kvfIykTNmmBuYF9S21PLv7f/mb1v+RkHtwc2jo6JHceb4M/nZuJ8RHx5vQoRCeF9tk53VBVWscvX7WV9Yjd1hzv+d+EgbE1w1NBNSY5iQFkvuyGgiQ72fgHz8XSk3vftthz5OmYmRPHzmNGZlB8ao8d4iyU4XlFJTgPV0P87O+Vrr11xlaUAcsEdr3eAqOw1jIMH/dnHp+X+Bk4GZWus1vcUiyY45WvbsYdfpP8NZbwyWbYmKIvPFF/x+pvS+cmonK/at4M3Nb/JF4RcdRmIGCLWEcvKYkzl7wtkcmnyoSVEKMTSa7MZghyt3VfLO6kKa7A4sSrlrUqwhCluIBavrsdVicd0rrCEWbBZFiMWCLcRYH2Ixyqye+7Q9tig++b6UcFsIydFh3PLjiT69QKCirpmb39vI4k0l7jKLgsuOHcs1J+QQZh0eNbmS7HRDKfUExlQP7wH/xRhB+SpgGXB820CBSqlFwAXAcVrrpa6yEOBrIA9jxOV/AAr4Gcbl6H/XWp/Zlzgk2TFP885dFPzqVzjKywGwxMSQueglIg4Nrn/+hQcKeXvr27y37T2qmw/ucz8leQpnTzibk7JPIizE9506hRCDo7Xmn+uKuO1fmzqMYD0hNYZHzvoBE9NiTYzONyTZ6YYrYbkG46qobKAcY16r27TWdR7bLaJTsuMqjwFuwkhwxmBcjbUNeBV4WGvd+5jpSLJjtuZt2yj41QU4qqoACImLI/OVVwgfH3wjlDa1NvHR7o94c/ObbKrYdND6hLAEzsg9gzNzzyQtOs2ECIUQg7GvupEb31nPsu0V7jJbiDHi8mXHjB1Q/6BAIcmOn5Nkx3xNmzdTcMECnDU1AIQkJpL16iuEjR1rcmRDZ0PZBt7c/CaLdy/G7rR3WGdRFuaOnssvJ/ySOWlzZMweIQKI06l5Zflu7lu8mSa7x+CjWQk8fOY0spICY0Lk/pJkx89JsuMfGjdsZM+FF+KsMyr1rCkpZL36CqHZ2eYGNsQqmyp5d9u7vL3l7S4vXx8TN4azxp/FaWNPIzo02oQIhRADsaOsjuveXs/6ve1N15GhIdz844mck5cZdD9iJNnxc5Ls+I+GtWvZe/ElOBuMiQutqalkvfYqoaNHmxzZ0HM4HXxR+AVvbn6TFcUrDlofYY1gfvZ8jkw/kry0PBLDh9eVHkIEolaHk6eX7uDxT7d1mI/s2NwU7v/5VEbGBs90E5Ls+DlJdvxLw6pV7Ln0MnSjMVaNLT2drNdexZY+fIZk31Wzi7e2vMW/tv+LOnvXg7dNSJzA4WmHMydtDtNHTifCGuHjKIUQfbWhsIbr3l7HNo/BGOMibNz108mcGiTTTUiy4+ck2fE/9cuXs/c3v0U3G+NN2jIzyXr1FWwjDxpwO6g12Bv4jRDKcgAAIABJREFUYOcHvLn5zQ7zcHVms9iYPmI6c9LmMCdtDpOSJsnAhUL4mSa7gwc/2sILy3bh+S/51Gnp/N9phwb8dBOS7Pg5SXb8U92XX1J4+RVou9F5N3TMGLJefQVrcrLJkfme1ppvy7/l66KvWVG8gm/LvqW1h4sNY0JjyEvNcyc/WbFZQdc/QIhAtXxHBTf8/eDpJu7/+VTmBvB0E5Ls+DlJdvzXgc8+p/Cqq6DV+McelpND5isvY01IMDkyc9Xb68kvyWdF8QpWFK/osdYHIDUqlTlpczg87XDy0vJIjhh+CaMQ/uRAk53/++A73s4v7FB+7mGZLOxmugmtNU5tzFLvcGocWrc/9ixz9LDOqXnzmz1oNNFhVu48bbLXXpMkO35Okh3/VvvREoquuw4cxsziYRMnkvXSi4TEy1QLbcoaytyJz4p9K9jfuL/H7XMTct21PjNHzpSZ2YUwSVfTTdhCFBZljDDdOVHxtt33/bj3jfpIkh0/J8mO/6t5/wP2/f73tDV0h0+eTOZLLxISE2NyZP5Ha82u2l2s2LeC5cXLWVWyinp7fbfbWy1WpqVMcyc/k5MnY7UMv0kMhTBLRV0zC9/bwEebSn3+3JLsDCOS7ASG6nffo3jhQvdyxA9+QMbzzxMSHZwDdHlLq7OVjeUb3TU/68vW0+rsvr9PWEgYuQm5TEycyISkCUxMnEhOQo5MYyHEENJa897aIq57e32v21otipDON9VFWTfla/e0j/sjyc4wIslO4Kh6621Kbr/dvRw5axYZzz2LJVKaYfqqwd7A6tLVrCg2an62VW3rdZ8QFcIh8YcwMXGikQQlTmBC4gQZ5FAIL8v+43/cj7+946SOyYpSWLww3YTnc0iyM4xIshNYKl97ndK77nIvRx4+h4xnnsESHjyDc/lSeWM53xR/w4riFXxS8Em34/p0JSMmw0iAktoTIOn8LMTAPfLxVvfja08cmvkBh+o5JNnxc5LsBJ6KF19i//33u5ejjjma0U8+iSU0sMep8AeVTZVsrtjM95Xf833l92yu3ExBbUGf9x8RMcLd/NXWFJYelS6XvgsR5CTZ8XOS7ASm8r88S9mjj7qXo+fNY/Sjj6BsNhOjCk719nq2VG4xEqAKIwHaUb2jx7F+PMWGxrY3fyVNICc+h8zYTBn1WYggIsmOn5NkJ3CVPf445U8/416OmT+fUQ89iLLK1URDrcXRwrbqbR1qgbZWbqXJ0dTnY4yIGEFmbKZxi2m/z4jJkMvhhQgwkuz4OUl2ApfWmrKHHqLi+RfcZbGnnEL6n+9Dhch0Cb7mcDooqC3gu8rv2Fyxmc2VRiJU21Lb72ONiBhBRmwGWbFZZMQY95IICeG/JNnxc5LsBDatNaX33kvVK6+6y+JOP520u+9CWSwmRibAOD/76ve5a4AW715MdVM1B1oO4MQ5oGOmRKQcVBvUlhRJIiSEOSTZ8XOS7AQ+rTUlf/r/9u47Pqo63//46zstmXQggUAoCQSkBCnBBrggorLK/ta2664NLNe1K5Z1EV27uLr2srq6il7ZVVnFe7eJ6AVFbBCKJARpCYQkQBICqZNp398fZzIkYdJImcnk83w8zmOG7ynzmeMxeed7zvmehzn8t/f8bQmXXELygw/IhbEhyu11U1xVzN7Kveyp2ENBZYH/dV/lvjZfD9RUkj2JIbFDSItPIz0hnfQ+6aQnpNMvsp8cC0J0IQk7IU7CTnjQXi/F99/PkQ8/8rf1ufxyBiy6V37J9TBur5vi6mL2Vuxlb+XeRq/HG4QSIhKM8JOQzsg+I0lPSGdEwgjiI+K74BsI0ftI2AlxEnbCh/Z4KFq4kIr//Ye/re/VV9P/7rsk8ISJ+iBUUFHAnso9jYNQ1b4WR4cOpL+9v7/3p34akTBCTocJ0U4SdkKchJ3wot1uCu+6m8pPPvG39fvNb0i6/TYJPGHO7XWzv3o/L296mUOOQxxyHMJmtrGzfCc17pp2bSslJoWRCSNJ72OEn5EJI0mLT8NmlrGchAhEwk6Ik7ATfrTLxb4FC6j67HN/W/TU00h++BFsg1OCWJkIBq01xdXF7Dy8kx3lO9h5eCe7Du9i1+FdOL3O1jfgY1ZmhsYNbdQDlBqXyrC4YURaZARv0btJ2AlxEnbCk9fpZN8tt1D9xZf+NlNUFEl33UmfX/1K7tQSuL1u9lXuM0LQ4R3sLDdCUH5FPh7tafN2FIpBMYNIjUslLT7t6Gt8Kkn2JOlRFL2ChJ0QJ2EnfHmdTkqee55DS5aA9+htzlEnn8zARx/BNnRo8IoTIcvpcZJfkc/O8p3+ILTr8C72Ve5D076fpdHWaFLjUkmNTyUtzghAafFpDIsbJk+SF2FFwk6Ik7AT/mo3b6bo3kU4d+3ytym7nf4LFtDn8sukl0e0SY2rhrwjeew4vIO/b/87hx2HKa8rp8pVhVe3b8wgf2+QLwQ17BFKtCdKb5DocSTshDgJO72Dt66O0pdepuzNN8Fz9BSFPTOTQY89ii01NXjFiR7N6XGyt2Iv+RX55B3JO/p6JJ9KV2W7txdjjfH3Bo3uO5ppg6YxImGEBCAR0iTshDgJO71L7ZZsiu+9l7odO/xtKiKCpNtuo++8K+UxE6LTaK0pc5QdE4DyjuRRVF3Urt6g5Ohkpg2axukpp3PqoFOJtkZ3YeVCtJ+EnRAnYaf38TqdlL36KqV/fh3cR8dlsU+YwMDHHyNixIggVid6gzpPXePeoCNHe4WqXFUtrmtRFiYNmMT0lOlMT5nOyISR0usjgk7CToiTsNN7OXJzKVp4L3XbtvnblM1G4s030+/qq+Tp6aLbaa0prS0lvyKft7LforCqkH2V+1q8RX5A1AB/8Dl14KnE2GK6sWIhDBJ2QpyEnd5Nu1yUvv46pX96FVwuf3tkRgYDH3+MyFGjglidEODyuth8cDNfFX7FV4Vf8WP5j80ua1EWJvaf6A8/o/qMkl4f0S0k7IQ4CTsCwPHjdorvvRdHTs7RRquVpBtvoN+116Ks1uAVJ0QDB2sOsrZwLWsK1/Bt0bctXgTdP6p/o16fWFtsN1YqehMJOyFOwo6op91uyv7yJqUvvYRu0MsTMXYMgx5/nMjRo4NYnRDHcnvd/FDyg7/XJ/dQbrPLWpSFCf0nMD1lOqennC69PqJTSdgJcRJ2RFN1O3dStGgRjs0/HG20WEi87joSr/8NyibPRxKhqaSmhLVFa/mq8Cu+LvqaSmcLvT72/kxLmcbUlKlMGTCFRHtiN1Yqwo2EnRAnYUcEoj0eDi15m5IXXkDX1fnbI0aNYuDjj2PPGBfE6oRondvrZkvpFtbsW9Nqrw9AalwqmQMyyRyQyUnJJ5EcndxNlYpwIGGnGUopE3Ab8BsgFSgBPgB+r7WubuM2LMCNwHzgBMAN7AJe01q/1pZtSNgRLanLy6N40X3UbthwtNFspt8115B4802YpJdH9BCltaWsLTza61PhrGhx+ZSYFDIHZDJlwBSmDJjC4NjBctpLNEvCTjOUUs8DtwLLgf8AY4BbgDXAbK1bHnFLKWUD/hc4A1gKfAtYgJFArdb63rbUIWFHtEZ7PJQvXcrBZ55FOxz+dlv6CAY9/jj2E08MYnVCtJ/b6ya7NJvnNjxHUVURB2oOtDrIYX97fzKTj4aftPi0sA8/DUfHfm/be8TYYhgRP4JbJt8S7NJCjoSdAJRS44AtwHKt9UUN2m8BXgAu01r/tZVtPAIsBM7SWq863lok7Ii2cu7ZQ/Gi+6hpeLyYTPS9aj5Jt9yCKTIyeMUJ0QF1njp+KPmBrANZrD+wns0HN+PwOFpcp29kXyb3n8yU5ClkDshkVJ9RmFTPe85c/UjX+UfyyatoPMBjYVVhwBD4zk/fYVL/SUGoNnRJ2AlAKfUosAj4idZ6TYP2SKAM+EJrfW4L60cDxcBKrfVFyvjzIkZr3e4H0UjYEe2hvV7K//Y3Dj79DLqmxt9uGTiQuHN/StycOURmZIT9X7wivLk8LnLKcsg6kEXWgSw2HtzY6sjOsbZYI/wMMMLPmH5jsJhCZ2BOp8dJQWXBsY/vqMhr8ULu5lxywiXcNvk2uZ3fR8JOAEqpFcBsIEprXddk3lpglNY6qYX152Cc+loEDACuBmKAUuB1jOt+3M2t35CEHXE8nPv2UXzf/dR8++0x86yDBhF7zjnEnXM2kSeeKE9VFz2ex+vhx/IfWb9/vRGADmZxpO5Ii+tEWaKY2H8iUwZMYUTCCCLMEVhNVmxmG1aTFavZ2ujfNpMNq9l4tZgsx/UHg9aaQ45DjQNNRT75R/LZV7WvQ0+nX1u49pj5/aP6s+iURcwaOqvdtYYbCTsBKKW2AP211gMCzPsA+AUQobUOOEa6Uuo24DmMi5qdwGMYPUKXAf8PeEdrPa8ttUjYEcdLa83hD5Zx4PHHG92x1ZAlOZnYs88ibs4c7BMnSvARYcGrvew6vIv1B4zws37/esocZZ36GRaTpVEAqg9GFpPlaEDyvRZWFeJwOyivK8fpaf7RGs2JskSRFp9GanwqaXHGa2pcKsPihhFpMU5Pv7LpFaqcVXxZ+CV7KvY0Wv+sYWex8OSFJEU1+zd62JOwE4BSahdg1VoPDTDvHeAKoI/W+nAz698HPAJ4gAyt9bYG81YBM4FxWuutzax/HXAdwNChQzP37NkTaDEh2sTrdFL99ddUrviUys8/x1sR+C4XS1ISsWefTdycc7BPnixPWBdhQ2vNnoo9R8PPgfXsr94f7LIa8ffSxKUawab+NT6VJHtSm3uStNasyF/B4u8Xc8hxyN8ea43lzil3cuHIC3vlaWwJOwF0Qs/OncAfgbVa6+lN5l0FvAncqLX+U2u1SM+O6Eza6aT6u++oWLGCqpWf4TkSuKvfnJhI7FmziTtnDlFTMuWhoyLsFFYVknUgi3e3vkuNuwaP10NydDJOrxOXx4XL65s8LqPN68LpMV7d3jZdhRBQlCXK6KFpGGia9NJ0hiN1R3h6/dMs37m8UftJySfxwGkPMCxuWKd9Vk8gYSeATrhm5xLgPeBDrfXFTeb5r+fRWj/eWi0SdkRX0S4X1d9/b/T4rFyJp7w84HLmvn2JnT2buDnnEHXyyRJ8RK/n1V7cXnejANTwtem8j3d+jNVkJSEygbun3N2tPSvfFn/Lw988TEFlgb/NZrJxw8QbmDduHlZT73iunoSdANpwN9aXWuuftrB+GrAb+E5rfWqTeddiXKT8X1rrN1qrRcKO6A7a7aZm/XoqVqyg8tOVeMoCX99gTkggZvaZxJ0zh+hTT5EHkArRA9S6a3l186u8nfM2Hu3xt4/qM4qHpj5ERmJGEKvrHhJ2AlBKjQc20/w4O1dord/1tQ0E4oG9WuuaBst+BUwFpmitN/jazMDXwGRghNZ6b2u1SNgR3U17PNRkZVH5yQoqVn6Kp6Q04HKm+HhiZ80ibs45RJ92mjyTS4gQl1uWy4PfPMjWsqOXi5qUicvGXMbNE28myhoVxOq6loSdZiilXgRuxhhB+d8YIyjfCqwFZtWPoKyUWgLMA87QWq9usP4kjNGWnRgBqQy4BJgGPKy1fqAtdUjYEcGkvV5qN26k4pMVVH76Ke4DBwIuZ4qNJeb06USddBL2zEwi0tPlzi4hQpDb62Zp7lJe2vhSo4EZU2JSuP/U+5mWMi2I1XUdCTvN8PXC3I5xV1Qqxhg572OMkVPVYLklBAg7vnknAo8CPwEigVzgea31krbWIWFHhArt9VK7ebPR4/Ppp7iLi5td1hwfjz0zk6jMTKKmZBI5dqyc8hIihBRUFvDIN4/wTfE3jdrnDp/Lb0/6LX0i+wSpsq4hYSfESdgRoUhrjWPLFqPHZ8UKXIWFLS6v7HbsEycQlTmFqCmZ2CdMwGS3d1O1QohAtNb8Y/c/eHLdk40GYUyISOC3J/2WucPnhs1t6hJ2QpyEHRHqtNbU5eZSs24dNevXU7M+q9k7u/wsFuzjxmGfkmkEoMmTMCckdE/BQohGymrLeHLdk/w779+N2qcNmsZ9p97H4NjBQaqs80jYCXESdkRPo7XGmZfnCz7rqV2fhauoqNX1IkaNMnp9MjOJmjIF64BjhrkSQnShNfvW8Mi3j1BcffQUtd1i5+aJN3PZmMswm3ruQKMSdkKchB0RDlzFxdSszzICUNZ6nDt3tbqOdcgQ/zU/9sxMbKmpYdOlLkSoqnHV8OLGF1mauxTN0d/N4/qN46GpD3FC3xOCWN3xk7AT4iTsiHDkLi+ndsMGfwBybN0KHk+L65gTE4maNJHIjPFEZozDPm6cnPoSoov8UPIDD37zIDvKd/jbFIqx/caSZE/i0jGXMjB6IANjBhJhjghipW0jYSfESdgRvYG3uprazZv94ad28+ZmH17akHXIECP4ZGQQOS6DyHFjMcfGdkPFQoQ/l9fFkuwlvLr5VZze5h9g2jeyLwOjBzIoZhDJ0ckMih7EwOiBJMcY7xMiEoLeKythJ8RJ2BG9kXY6qc3JoTYri5p166nZuLHZB5g2ZUtNJTIj42gIGjMGU3R0F1csRPjKO5LHQ988RNaBrONaP9IcaYSgGCME1fcI1b8fEDUAq7lrh6aQsBPiJOwIYYzxU7djJ47sLdRu2YIjOwfHjz+Cy9X6yiYTESOGGz0/GRnYM8YRMXo0psjOe+iiEOHOq71MeGeC/9+ZAzIprirmQM2BRo+gOB4KRVJUEgOjB1LtqibGGsPA6IE8OePJjpZ99DMk7IQ2CTtCBOZ1OqnbvgNHdjaOnGxqs3Oo27691Wt/ADCbiRg5stEpsIgTRmGSR14I0axXNr3if3/jxBsB8Hg9lNSWUFxdTHFVsfHqm4qqiiiuLqbaVX1cn7dl3pZOqRsk7IQ8CTtCtJ3X4aDuxx+pzc42en+ys6nbtQu83tZXtlqJHDWKiPQRmBMTsSQlYUlMwpKYiKW/8WqKjQ36tQdC9DSVzkqKqorYX72fomojAO2vOvq+pKak0Z1f9STs9CISdoToGG9NDY7cXBzZRu+PIzsbZ17ecW1LRUQY4ccXgMz17+uDUZLvfd++8mBUIdrI5XFxoOYAxdXFXL3ian97uIUdSzA/XAgR3kxRUcZ4PZmZ/jZPZSWOrbmNToG59u5tdVu6rg5XYWGrj8cAMCckGMEnKfHYnqKkJKO3KCkJU0yM9BaJXs1qtjI4djCDYwdzw4Qbgl1Ol5GenRZIz44Q3cNz+DCOrVtxFRfjLinBXVKKu7TUeO971bW1nf65KjLSF4qamXyhyJyQIE+SF+I4Sc+OEEJg9MRET53a4jLe6uqj4ae0FPfBBu/97SV4yg617TohQDscuAoKcBUUtLygxXK0V6ilYNSvH8oiP1aFCDXyf6UQokcwRUdji47Glpra4nLa48Fz6FDAUFT99dd4a2rwVlejXa629xa53bj378e9f3/LyymFuW9frMnJ2IYNxTp0KLYhQ/3vLUlJctpMiCCQsCOECCvKbPb3trREa230Fh0s8Z06a35q66CKaI2nrAxPWRmOnJxja7PbsQ0ZcjQIDR2GbdhQbEOGYElORpl77sMehQhlEnaEEL2SUgpzTAzmmBgihqe1uKzX4TjaS9RCKPIcOgQtXAepa2up277dGJOoaT1WK9YhQ7ANHYp16JCjQWjoUKyDBqGsXTvKrRDhTMKOEEK0whQZiW3wYGyDB7e4nHa5cJeV4SosxLlnL86Cvbj27MW5dy/OPXvwVla2uK5z926cu3cfO9NsxjpoELahvlNiQ4YSMXIk9okTMMfEdPTrCRH25G6sFsjdWEKIzqK1xnP4MK6CAiMI7d2Da+9eXygqwFNW1v6NmkxEnHACUZMmYc+cTFRmJtbk5M4vXogOCIW7sSTstEDCjhCiu3iqqozw4w9AR3uF3AcOtHk7lkEDiZqciX3yJKIyM4lIT5drgURQSdgJcRJ2hBChwFtbi9N3i7xzz14q/vlPXAcPGr1BrfwMN8XGYp84kajMydgnT8Y+fjwmu72bKhdCwk7Ik7AjhAhlnqoqajdtpnbDBmo2bKB28+bWb6e3WIgcN/Zo78/kyVj69euegkWvJGEnxEnYEUL0JNrlwrHtR2o3ZFGzYSM1G7LwlJS2up5t2DDsmZlG78+kydjSUmU8INFpJOyEOAk7QoieTGuNq6DA6PXJMnp/nLt2tbqeuU8f7JMnEzV5EvaJE4kcNw5TZGQ3VCzCkYSdECdhRwgRbtzl5dRu3ETtxg3UZG3AsWUL2uVqeSWLhcgTTsA+YQL2SROxT5iAdcgQ6f0RbSJhJ8RJ2BFChDtvXR2OnBxqsrKozdpA7caNeI4caXU9c58+RviZOBH7xAlEZozHHBPdDRWLnkbCToiTsCOE6G2014tz924O/vFpXPv34z5wAE95eesrKmUMdNggANnS0uRp8ULCTqiTsCOEEOA5coTaH7ZQu3mzf2rL88JMsbHYTzzRH37s48djTkjohopFKJGwE+Ik7AghxLG014szP9+47d0Xfuq2bwevt9V1bWlpjXp/ItLTURZ5clE4k7AT4iTsCCFE23iqqnFkZx/t/dm0yXgwaitM0dHYp2QSffLJRJ18MpFjxkj4CTMSdkKchB0hhDg+Wmtc+/Yd7f3ZtAnHtm3gdre4noSf8CNhJ8RJ2BFCiM7jdThwbN3qD0DVX32Ft7q6xXUk/PR8EnZCnIQdIYToOv5BD7//nurvv6fmu+9bfeipKSaGqMxMovzhZ7SEnxAnYSfESdgRQojuI+EnPEnYaYZSygTcBvwGSAVKgA+A32utW+7zDLy9D4BfADla64y2ridhRwghgqdTws/YMSizuZsqFoFI2GmGUup54FZgOfAfYAxwC7AGmK21bv3+xqPbmgv8D1AH7JawI4QQPZPWGtfevUbw+X4dNd99h/vgwRbXMcXEYJ80iciMcUSOHYt93DgsAwfKoy66kYSdAJRS44AtwHKt9UUN2m8BXgAu01r/tY3bigG2Ah8D/w+okrAjhBDh4XjCDxiPuogcO5bIcUYAiswYhzUlRQJQF5GwE4BS6lFgEfATrfWaBu2RQBnwhdb63DZu63mM01ejgR+QsCOEEGHreMMPgCk+nsixY7CPG+cPQdahQyUAdQIJOwEopVYAs4EorXVdk3lrgVFa66Q2bOdk4Bvg11rrD5RS+UjYEUKIXkNrzYFHH8N18CCekhKUzYZj61a8VVVtWt8UG2v0/NT3Ao0bi23YMHneVztJ2AlAKbUF6K+1HhBgXv2FxhFaa2cL27AAWUCR1vqnvrZ8JOwIIUSvpr1eXAUFOHJyqM3JwbF1K46crW161hcY4/5EjhnjDz+R48ZhS02Vi6BbEAphJxTvz4vCuJg4EEeDZZoNO8DdwEjggvZ+uFLqOuA6gKFDh7Z3dSGEECFMmUzYhg3DNmwYcecaV0RorXEVFuLIzsHhD0A5eA4fPmZ9b3U1NevXU9PwD2GLBWtKCjHTp5N8/33d9VVEO4Ri2KkB+jczL7LBMgEppdKB3wOPaq13t/fDtdZ/Bv4MRs9Oe9cXQgjRsyilsA0ejG3wYOLmnAMYAchdVEStL/jU9wB5ysqO3YDbjWvPHsr37CFqSiZxP/1pN38D0ZpQDDtFwFilVETTa3aAFKC0pVNYwNPAIWC5L/jUswA2X1u11rq4U6sWQggRNpRSWFNSsKakEHfWWYAvAB04YASfBr1A7pIS/3qFC+6gZt06+t9zD6aIiGCVL5oIxbCzDjgbOBljXB3AfzfWRODLVtYfBgwCcpqZvwP4FzC3w5UKIYToNZRSWJOTsSYnEztrlr+96P7fU7lihf+6n/K//o2aTZsY/Nxz2ORyiJAQipeUvw9o4PYm7f+Fca3O0voGpdRApdRopVRUg+XuwriIuelUAhT43i/usuqFEEL0KoMeeZj0zz8j9pxz/G11W3PJu/AiKj5ZEcTKRL2QuxsLQCn1InAzxgjK/8YYQflWYC0wq34EZaXUEmAecIbWenUr28xH7sYSQgjRRbTWlC/9Kwf/8Ae0y+Vv73PZZfS/57eYbLYgVhc8oXA3Vij27IDRq3MXMA54GfgV8CIwtz2PihBCCCG6i1KKvpdfxrC//hXr4MH+9vKlS9nz60txFhQEsbreLSR7dkKF9OwIIYQ4Hp6KCooX3UflypX+NlNsLAMfe5S4s88OYmXdLxR6diTstCAUws6zK7f73y84a1QQKxG92SubXvG/v3HijUGsRIiWlbz4kv990i03B7ES32mt/36XA089BQ1Pa11xBf3vvqvXnNaSsBPiQiHspP7uX/73+U+cF8RKRG82/u3x/vdb5m0JYiVCtCx39Bj/+zHbcoNYyVG1W7ZQePsCXIWF/rbI8eNJefYZbA1Od4WrUAg7oXrNjggTS5YsQSnF6tWrg12K6OXkWBTBYh8/nrSPPiRm9pn+NseWLeRdeBGVn312zPK98VhVSmnfTUddQsKOaBeHw8Err7zCrFmzSEpKwmq1kpCQwEknncQ999zDtm3bWt3G6tWrUUo1miIjIxk+fDhXXXUVubmN/xrLz89HKcX8+fOb3WZqaiqpqamttjU0f/58lFLk5+e3WnO99evXM3/+fIYPH47dbic6OpqMjAxuv/32Nn130Xl667E4c+bMY2qun+bMmdPq+qL7ORwOXlu6lHlbt3J6USEn/riNU3Zs5+ItP7Dgkkv4asEdaGdLY+X27GMVyPSFGZdSqlAp9Tel1LhWN9CJQnFQQRGidu/ezdy5c8nNzWXGjBksWLCAgQMHUlVVxaZNm3jzzTf54x//yN69e0lJSQHgiiuu4Fe/+hW2AOemf/3rX3Ou79k0tbW1/PDDD7zxxht8+OGHbNmyhWHDhnXr92vNww8/zIMPPkhiYiKXXnopY8aMQWtNTk4O77//Pi+99BLl5eXExsYGu9Sw19uPxYiICN54441j2gcNGhSEakRLmh6rd/zud/Rzuyl8912RZGcnAAAT5ElEQVRyDh7koyNHeOu5Z/lq5w4y//QqtsEpYXes1tXV5WE8xskOnIIxZMx5SqmTtNY/dkcdEnZEm9TW1nLeeeexa9cuPvroIy644NhnrDocDp599tn6JA+A2WzG3MzTgCdPnszll1/eqG3kyJHcdtttfPTRRyxYsKBzv0QHvPnmmzzwwAOcccYZLF++nPj4+Ebzn3zySR566CHkGriu19uPRQCLxXJMvSL0tHSsem69laJ7F1H22We8XV6OMzeXvAsvZNATi4mdNSusjtW6urpDWut3fU2vK6VygT9ijJ93U3fUIaexRJu88cYbbNu2jbvvvjvgLxeAyMhIFi5c2Oivy/aee65fN9BfNMHidDpZtGgRMTExvP/++8cEHQC73c4TTzxBXFxcECrsXXrzsdhehYWFXH/99QwZMgSbzUZKSgrXX389paWlwS6tV2jpWDUnJDD45ZcYsnAh1w0YQH+LFW9FBftuvInnf/HLcD9W64eVTm86Qyk1Wyn1rVKqRim1Xyn1vFIquqMfKD07ok3+/ve/A3Dttdd22jZramr8P3Rra2vJzs5m0aJFJCYmctFFF3Xa53TU2rVr2b9/P1dccQVJSUnBLqfX683HYkOBAkufPn38PQJ5eXlMnToVj8fDNddcw/Dhw9mxYwd/+tOfWLVqFevWrZNw3sVaO1aVUvS7aj5Rkyay7447cBcZz6eu/sp4LKQ7wH/jnnisBjDS99r0C04GLgZeB94BzsDo/clQSp3VkUGFJex0kYa3jIfaNo/nFvbs7Gzi4uJIS0tr1O7xeCgvL2/UFh0djd1ub3WbDzzwAA888ECjtrFjx7JmzRqSk5PbXWNXyc7OBmDixIlBrqT9Gt4yHmrbPN5b2HvzsVivuro6YPDOzc1l9OjRANx8881ordm0aVOjHq6LLrqIqVOn8sILL3Dfffd1W82taXjLeKht83hvYW/zsTp4MAOXLqX8oYepatCbU3T/76ns14/YM87wt/W0Y9XHopRK5Og1O8/62t9pstx44AKt9ce+f7+ilHoeI/D8EnjveAuQ01iiTSoqKgL+FZibm0tSUlKj6eWXX27TNq+77jpWrlzJypUr+cc//sEf/vAHSktLOffcc9mzZ09nf4XjVuF7krH8FRwaevOxWC8yMtJfb8NpqO8J24cOHeI///kP559/PjabjdLSUv80YsQI0tLS+PTTT4P8LcJfe47VV5cuZfArL9P/7rvBZPxq1tVV7LvhRg489RTa7QZ63rFaXV0NMAHjYdx7gWUYHS3ztdZNn5L6Y4OgU+8J32vgc9ZtJD07ok3i4uL8v/QbSktLY6VvOPTNmzdz1113tXmbI0eOZPbs2f5/z507lxkzZnDqqadyzz338N577QvxDS9G7cz16n9YVVZWHtf2RefqzcdiPbPZ3KjeprZt24bWmtdee43XXnut2W2IrtXeY1WZTPS75mr6FRTAQw/6lz/0lzc54Oud62nHamRkJA6HYzvGhchu4ABGqAl0SuqYLjStdbFS6jAw/LgK9ZGw00U6a7TjUBlBOSMjgy+//JK8vLxGXbLR0dH+//Eslo4fTqeccgrx8fH83//9n7+t/jRETU1Ns+sF6ta32+2UlZW1uE7D7TcnIyMDgI0bN7ZcfAjqrNGOQ2kE5d58LLZV/V2B8+bNa/auraioqE75rM7SWaMdh9IIysd7rEakGrePR06YADt2AlC3cwcAZW++xZHRY4g5fTpm380SoXys+kJ1pdb62NETj9Xc7azHl8gakNNYok0uvvhigIBje3Q2t9vdqBclMTGRmJiYYwbNqldSUkJpaSnDhzcO/mlpaf55geTm5hIbG0tiYmKL9UybNo3k5GQ+/vjjFn8IiO7Rm4/FtkpPT0cphcvlYvbs2QGnqVOndspnieZ19Fjtv2AB/e+6Exr0wrlLSyi66y62T53GnsuvoOwvf6Fu164ee6w2MbZpg1JqIBAP7O7IhiXsiDa59tprGT16NE899RTLly8PuExnjDGzcuVKqquryczM9LeZzWZ+9rOfkZ2dHfA6g2efNa51+/nPf96o/fzzzwfgmWeeOWadFStWkJOTw89+9jNMppb/N7DZbDz22GNUVlZyySWXBDyd5XA4uPfeewN2WYvO1ZuPxbYaMGAAZ599NsuWLWPdunXHzNdaU1JS0imfJZrX0WNVmUz0u/Zahv130+t4AY+HmvXrOfjUH3l35hlUV1czvv8Aqtauxet09phjtYkTlFLnN2m7x/fa9FqedpHTWKJN7HY7//rXv5g7dy4XXnghM2fO5OyzzyY5OZmKigq2bdvG+++/j9lsZsiQIW3a5oYNG3j3XWOcqbq6OnJycnj99dexWq08+uijjZZ94oknWLVqFeeddx7z5s1j0qRJ1NbW8vnnn/PJJ58wY8aMY4ZFv+qqq1i6dCmLFy9m48aNnHnmmdjtdjZu3Mjbb79NcnIyixcvblOtV199NQUFBTz00EOkp6dz6aWXMnbsWLxeL7m5uSxbtoyDBw+ycOHCNm1PHL/efiy21Wuvvcb06dOZPn06V155JZMmTcLtdpOXl8fHH3/MNddcE1J3Y4WjzjpWoyZPJu7n58NLL7I9OoZPEuJx7i3A5fWy01nHssNHsAA3aS8F11yLKSqK6GnTWPiTn7Dq889D/lhtYAvwrlLqdWAHxq3nFwNfAO93aMtaa5mamTIzM3WwDbvnn/4pFNTU1OiXXnpJz5w5U/fr109bLBYdHx+vMzMz9d133623bdvWaPm33npLA3rVqlX+tlWrVmmMc7P+yWQy6aSkJH3BBRfo77//PuBnFxYW6ptuukkPHz5c22w2HRUVpSdOnKgXL16sHQ5HwHUcDodevHixnjBhgo6KitI2m00PHz5c33TTTbqoqKjd33/dunX6yiuv1KmpqToiIkLb7XadkZGhFyxYoLdv397u7fUUGUsy/FOo6K3H4owZM3R0dHSblj148KC+4447dHp6urbZbDohIUGPHz9e33777To3N7fNn9mTbD1htH8KFV15rPaz2/VZ8fH6/aHDGn33+mn1iBH6ihEj9LDERG2zWoNyrALrdSu/b33faQkwG/gOqMW4mPlFILa19VublJbh7Zs1ZcoUvX79+qDWECoXKIveLZQuUBaiJaF0gXJ30U4nNVlZVK1eTeWq1bj27m12WUv//sTMmEHMGTOJPvVUTN1wobpSKktrPaXLP6gFchpLCCGE6MGUzUb0aacRfdpp9P/d73Dm5VO1ejVVq1dTk5UFHo9/WffBgxxetozDy5ahbDaiTj2FmBkziJ05E6vvobnhSMJOiLvtzJGtLyREF7thwg3BLkGINkm8qVueKxmylFJEDE8jYnga/a6+Ck9FBdVffUXl6tVUf/ElniNH/Mtqp5PqL9dQ/eUaDjzyKBEjRxIzcyaxZ87C3gNHjG+JnMZqQSicxhJCCCE6g/Z4qN28mapVq6n64gvqtm8PuJx16FDSP206uPHxk9NYQgghhOgWymwmavJkoiZPpv+dd+AqLKTyiy+M013ffod2OgFavOanp5KwI4QQQvRC1pQU+l56KX0vvRRvTQ1F992PMz+fqAZjS4ULCTtCCCFEL2eKimLwM08Hu4wuIyMoCyGEECKsSdgRQgghRFiTsCOEEEKIsCZhRwghhBBhTcKOEEIIIcKahB0hhBBChDUJO0IIIYQIaxJ2hBBCCBHWJOwIIYQQIqxJ2BFCCCFEWJOwI4QQQoiwJmFHCCGEEGFNwo4QQgghwprSWge7hpCllCoB9gS7jh4oESgNdhG9lOz74JF9Hzyy74Ortf0/TGud1F3FBCJhR3Q6pdR6rfWUYNfRG8m+Dx7Z98Ej+z64esL+l9NYQgghhAhrEnaEEEIIEdYk7Iiu8OdgF9CLyb4PHtn3wSP7PrhCfv/LNTtCCCGECGvSsyOEEEKIsCZhRwghhBBhTcKOaJVSyqSUWqCU2qaUciilCpRSTyulotuwbh+l1G1KqU9969UqpX5USv1ZKTWkO+rvyTqy75vZ3gdKKa2Uyu7sWsNNZ+x7pZRFKXWrUmqDUqpaKXXE9/43XVl7T9fRfa8MlyqlvlZKlSqlKpVSOUqp3yul4rq6/p5MKbVQKbVMKbXb97Mi/zi3c65v/1crpQ75tpnWyeW2vR65Zke0Rin1PHArsBz4DzAGuAVYA8zWWntbWHcO8E/gc+D/MAaeygB+AziBqVrrrV36BXqwjuz7ANuaC/wPUAfs1lpndH7F4aOj+14pZQP+FzgDWAp8C1iAkUCt1vrerqu+Z+uEff8YcC/Gz5yPARcwE7gE+A44Tcsvv4CUUho4BGwAMoEKrXVqO7dxIfB3YDPwOhAP3A54gCla66LOrLlNtNYyydTsBIwDvMCHTdpvATRwaSvrpwIjArTP9q3/92B/x1CdOrrvm6wTA+wFXgDygexgf79Qnjpj3wOPAG7gjGB/n540dcLPHAtQDWQBpibz3vVtY2Kwv2eoTsDwBu+zgfx2rm8FCjGePhDToH0iRtj5czC+l5zGEq35NaCA55q0vw7UAJe3tLLWOl9rvStA+2cYfz1I70LzOrTvm3gM45fAfZ1TWtjr0L73nW65DfgfrfUq32mV2C6pNPx09Li3AnZgvz62B6i+R6G6o0WGK6317g5uYgYwCHhDa13VYLubgNXAJUopawc/o90k7IjWnITxV9b3DRu11g5gk29+uyml4oFY4EBHCwxjnbLvlVInAzcDt2utKzq7yDDV0X1/OsbxneU7JVMBVCilSpRSjyulLF1Qc7jo0L7XWtcCXwJzlFL3KKXSlVKpSqn5wI3Au1rrHV1SuYCj/32+CTDvWyAOGNV95Rgk7IjWDAJKtdZ1AeYVAom+axPa6z6Mv8De7khxYa7D+973S/V14FOt9QddUGO46ui+P8H3ejtwEfBbjOtFvgYWAn/pxFrDTWf8zLkMWAU8AewA8oA3gWeBKzuxVnGsQb7XwgDz6ttSuqkWP/nrQrQmCuOC1kAcDZZxtnWDSqmLgTuBFcBbHaouvHXGvr8b44LYCzqxrt6go/u+/pRVXyBDa73N9+8PlFKrgCuVUn/QcnF+IJ1x3NcBuzF+uX6CcZ3ORRh/ZDkwTuuKrhHlew3039DRZJluIz07ojU1QEQz8yIbLNMmSqlzMe5MyQJ+qX1XromAOrTvlVLpwO+BxzrhPHxv09Hjvtb3+m2DoFPvHd/rjOOsLdx19LiPwuhBi9Naz9Na/01r/Z7W+hfA+8DDSqkTmltfdFj9f5tA/w3b/Tujs0jYEa0pwug2DnTgpmB0N7epV8d3G/pHQA5wtlw/0qqO7vunMS4CX+67biHdF4AsgM3374GdX3ZY6Oi+3+d73R9gXrHvtU8H6gtnHd33F2P0Zi4LMG8Zxu+96R2uUjSn/iLwQKeq6tsCneLqUhJ2RGvWYRwnJzdsVEpFYtxKuL4tG1FKnYMxZsY2jHEyyju5znDU0X0/DOP8eQ7GdQv1UwrGL4MdGNfziGN1dN/XX1w7OMC8+raDHSkwjHV039f/QjUHmGdp8io63zrf62kB5p2KcbH+9u4rxyBhR7TmfYzz3bc3af8vjPOuS+sblFIDlVKjfd3INGg/G2Ngr+3AmVrrQ11bctjo6L6/C/hFgKkEKPC9X9xl1fdsHdr3Wus8YC1wslJqcoNlzb5tuIFPu678Hq2jx339dVDzAmy7vm1dgHminZrZ/19g9F5eq5SKabDsBIyBHZdprV3dW6mMoCzaQCn1Isaty8uBf2OMZnorxg/zWfVjWSillmD8MDlDa73a1zYFY9RTBfwOYwTlRrTW73b5l+ihOrLvW9hmPlClZQTlFnV03yulJmEc+06MwRzLMO7ImgY8rLV+oLu+S0/TwZ85Zoxrdk7G2P8fYvz8uRBjSIBlWutfduPX6VGUUldg9AqDMZCjDeOUOMAerfV/N1h2CYGP/frro+pHUI4DFmCE2Eytdbefxgr6aI0yhf6E0R18J/AjxhX2hcAzNBgd07fcEt/BPLNB23xfW7NTsL9fKE8d2fctbDMfGUG5W/Y9cCLGIyMOY9yJshGYH+zvFupTR/c9xt1wj2OcNq/z7fstGEMAWIL9/UJ5whj4r7mf16vbsv998+ZijKtTA5RjPD7imNH0u2uSnh0hhBBChDW5ZkcIIYQQYU3CjhBCCCHCmoQdIYQQQoQ1CTtCCCGECGsSdoQQQggR1iTsCCGEECKsSdgRQgghRFiTsCOEEEKIsCZhRwghhBBhTcKOEEIIIcKahB0hhBBChDUJO0KIHkMp9QellG5l+jHYdQohQosl2AUIIUQ7FAJvNzPvAiAO+K77yhFC9ATy1HMhRI+mlFLA88AtGEHnp1rr8uBWJYQIJdKzI4TosZRSZuB14CpgNfAzrXVVUIsSQoQcCTtCiB5JKWUF3gV+CfwLuFhr7QhuVUKIUCQXKAshehylVCTwEUbQ+QC4QIKOEKI5EnaEED2KUioGoydnLvAm8GuttSu4VQkhQpmEHSFEj6GUSgA+BWZhXJR8rdbaG9yqhBChTsKOEKJHUEolAauA04BHtda3a7mdVAjRBnKBshAi5CmlUoCVwBjgt1rrp4JckhCiB5FxdoQQIU8p9TnGqasijNATiENrfX33VSWE6Ckk7AghQppSygQcAWJaWTRLaz2lG0oSQvQwEnaEEEIIEdbkAmUhhBBChDUJO0IIIYQIaxJ2hBBCCBHWJOwIIYQQIqxJ2BFCCCFEWJOwI4QQQoiwJmFHCCGEEGFNwo4QQgghwpqEHSGEEEKENQk7QgghhAhr/x/bsLErEDOubgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(8,6))\n",
    "\n",
    "\n",
    "colors = {}\n",
    "colors['C'] = '#1f77b4'#'red'\n",
    "colors['Fe'] = '#2ca02c' #'blue'\n",
    "colors['Pb']= '#d62728'#'black'\n",
    "#'#1f77b4', '#ff7f0e', '#2ca02c', '#d62728',\n",
    "ratio = {}\n",
    "\n",
    "for target in ['C','Fe','Pb']:\n",
    "    r_pip, err,x = getRatio(df['GiBUU_%s_hadron'%target].query('pid==211'), df['GiBUU_D_hadron'].query('pid==211'), \n",
    "                        df['GiBUU_%s_electron'%target], df['GiBUU_D_electron'],\n",
    "                       mybins=np.linspace(0.00,1.0,20))\n",
    "       \n",
    "    \n",
    "    plt.errorbar(x,r_pip,yerr=err,label='GiBUU '+'%s'%target,fmt='-',ms=8,color=colors[target],lw=3)\n",
    "\n",
    "\n",
    "minQ2 = 1.0\n",
    "maxQ2 = 4.0\n",
    "minNu = 2.2\n",
    "maxNu = 4.0\n",
    "plt.title(r'%2.1f$<Q^{2}<$%2.1f GeV$^{2}$, %2.1f$<\\nu<$%2.1f GeV, '%(minQ2,maxQ2,minNu,maxNu),fontsize=20)\n",
    "plt.xlabel('$z$',fontsize=22)\n",
    "plt.ylabel('$R_{h}$',fontsize=22)\n",
    "plt.legend(loc='best',ncol=3,frameon=False,fontsize=18)\n",
    "\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.savefig('Rh_data_gibuu.png')\n",
    "plt.savefig('Rh_data_gibuu.pdf')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Comparison to data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(8,6))\n",
    "\n",
    "\n",
    "colors = {}\n",
    "colors['C'] = '#1f77b4'#'red'\n",
    "colors['Fe'] = '#2ca02c' #'blue'\n",
    "colors['Pb']= '#d62728'#'black'\n",
    "#'#1f77b4', '#ff7f0e', '#2ca02c', '#d62728',\n",
    "ratio = {}\n",
    "\n",
    "for target in ['C','Fe','Pb']:\n",
    "    r_pip, err,x = getRatio(df['GiBUU_%s_hadron'%target].query('pid==211'), df['GiBUU_D_hadron'].query('pid==211'), \n",
    "                        df['GiBUU_%s_electron'%target], df['GiBUU_D_electron'],\n",
    "                       mybins=np.linspace(0.00,1.0,10))\n",
    "    #print(len(x_data))\n",
    "    #print(len(y_data[target]))\n",
    "    plt.errorbar(x_data,y_data['pip_%s'%target],yerr=erry_data['pip_%s'%target],color=colors[target],fmt='o',label=target)\n",
    "    plt.fill_between(x_data, 1.05*y_data['pip_%s'%target],0.95*y_data['pip_%s'%target],color=colors[target],alpha=0.2)\n",
    "    \n",
    "    \n",
    "    plt.errorbar(x,r_pip,yerr=err,label='GiBUU '+'%s'%target,fmt='-',ms=8,color=colors[target],lw=3)\n",
    "    #plt.errorbar(x_data_pim ,y_data['pim_%s'%target],yerr=erry_data['pim_%s'%target],color=colors[target],fmt='o',label=target)\n",
    "    #plt.fill_between(x_data_pim, 1.05*y_data['pim_%s'%target],0.95*y_data['pim_%s'%target],color=colors[target],alpha=0.2)\n",
    " \n",
    "    \n",
    "\n",
    "minQ2 = 1.0\n",
    "maxQ2 = 4.0\n",
    "minNu = 2.2\n",
    "maxNu = 4.0\n",
    "plt.title(r'%2.1f$<Q^{2}<$%2.1f GeV$^{2}$, %2.1f$<\\nu<$%2.1f GeV, '%(minQ2,maxQ2,minNu,maxNu),fontsize=20)\n",
    "plt.xlabel('$z$',fontsize=22)\n",
    "plt.ylabel('$R_{h}$',fontsize=22)\n",
    "plt.legend(loc='best',ncol=3,frameon=False,fontsize=18)\n",
    "plt.ylim([0.0,1.3])\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.savefig('Rh_data_gibuu.png')\n",
    "plt.savefig('Rh_data_gibuu.pdf')\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3 panel figure"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "import csv\n",
    "\n",
    "FF = {}\n",
    "\n",
    "errFF_plus = {}\n",
    "errFF_minus = {}\n",
    "\n",
    "\n",
    "FF['C_pim'] = []\n",
    "FF['Fe_pim'] = []\n",
    "FF['Pb_pim'] = []\n",
    "\n",
    "\n",
    "errFF_plus['C_pim'] = []\n",
    "errFF_plus['Fe_pim'] = []\n",
    "errFF_plus['Pb_pim'] = []\n",
    "\n",
    "errFF_minus['C_pim'] = []\n",
    "errFF_minus['Fe_pim'] = []\n",
    "errFF_minus['Pb_pim'] = []\n",
    "\n",
    "x_FF = []\n",
    "\n",
    "with open('clas_for_miguel_68CL_minus.txt') as f:\n",
    "    reader = csv.reader(f, delimiter='\\t')\n",
    "    for row in reader:\n",
    "        row = row[0].split()\n",
    "        #print(row)\n",
    "        x_FF.append(float(row[2]))\n",
    "        FF['C_pim'].append(float(row[3]))\n",
    "        errFF_minus['C_pim'].append(float(row[4]))\n",
    "        errFF_plus['C_pim'].append(float(row[5]))\n",
    "\n",
    "        FF['Fe_pim'].append(float(row[6]))\n",
    "        errFF_minus['Fe_pim'].append(float(row[7]))\n",
    "        errFF_plus['Fe_pim'].append(float(row[8]))\n",
    "\n",
    "        FF['Pb_pim'].append(float(row[9]))\n",
    "        errFF_minus['Pb_pim'].append(float(row[10]))\n",
    "        errFF_plus['Pb_pim'].append(float(row[11]))\n",
    "\n",
    "FF['C_pip'] = []\n",
    "FF['Fe_pip'] = []\n",
    "FF['Pb_pip'] = []\n",
    "\n",
    "\n",
    "errFF_plus['C_pip'] = []\n",
    "errFF_plus['Fe_pip'] = []\n",
    "errFF_plus['Pb_pip'] = []\n",
    "\n",
    "errFF_minus['C_pip'] = []\n",
    "errFF_minus['Fe_pip'] = []\n",
    "errFF_minus['Pb_pip'] = []\n",
    "\n",
    "x_FF = []\n",
    "\n",
    "with open('clas_for_miguel_68CL_plus.txt') as f:\n",
    "    reader = csv.reader(f, delimiter='\\t')\n",
    "    for row in reader:\n",
    "        row = row[0].split()\n",
    "        #print(row)\n",
    "        x_FF.append(float(row[2]))\n",
    "        FF['C_pip'].append(float(row[3]))\n",
    "        errFF_minus['C_pip'].append(float(row[4]))\n",
    "        errFF_plus['C_pip'].append(float(row[5]))\n",
    "\n",
    "        FF['Fe_pip'].append(float(row[6]))\n",
    "        errFF_minus['Fe_pip'].append(float(row[7]))\n",
    "        errFF_plus['Fe_pip'].append(float(row[8]))\n",
    "\n",
    "        FF['Pb_pip'].append(float(row[9]))\n",
    "        errFF_minus['Pb_pip'].append(float(row[10]))\n",
    "        errFF_plus['Pb_pip'].append(float(row[11]))\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 1152x864 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x504 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(16,12))\n",
    "\n",
    "\n",
    "label = {} \n",
    "label['C'] = '$C$'\n",
    "label['Fe'] = '$Fe$'\n",
    "label['Pb'] = '$Pb$'\n",
    "\n",
    "\n",
    "\n",
    "colors = {}\n",
    "colors['C'] = '#1f77b4'\n",
    "colors['C_pim'] = '#ff7f0e'\n",
    "colors['Fe']=  '#2ca02c'\n",
    "\n",
    "colors['Fe_pim'] = '#d62728'\n",
    "colors['Pb'] = '#9467bd'\n",
    "colors['Pb_pim']=  '#8c564b'\n",
    "\n",
    "\n",
    "fig, axs = plt.subplots(1, 3,sharex=True, sharey=True,figsize=(16,7),gridspec_kw={'hspace': 0, 'wspace':0})\n",
    "\n",
    "for i,target in enumerate(['C','Fe','Pb']):\n",
    "\n",
    "    r_pip, err,x = getRatio(df['GiBUU_%s_hadron'%target].query('pid==211'), df['GiBUU_D_hadron'].query('pid==211'), \n",
    "                        df['GiBUU_%s_electron'%target], df['GiBUU_D_electron'],\n",
    "                      mybins=np.linspace(0.0,1.0,10))\n",
    "    \n",
    "    lgibuu_pip = axs[i].errorbar(x,y=r_pip,yerr=np.zeros(len(x)),fmt='-',color='black',lw=3,alpha=0.7,label='GiBUU $\\pi^{+}$')\n",
    "\n",
    "    r_pim, err,x = getRatio(df['GiBUU_%s_hadron'%target].query('pid==-211'), df['GiBUU_D_hadron'].query('pid==-211'), \n",
    "                        df['GiBUU_%s_electron'%target], df['GiBUU_D_electron'],\n",
    "                        mybins=np.linspace(0.0,1.0,10))\n",
    "    \n",
    " \n",
    "    lgibuu_pim = axs[i].errorbar(x,y=r_pim,yerr=np.zeros(len(x)),fmt='--',color='black',lw=3,alpha=0.7,label='GiBUU $\\pi^{-}$')\n",
    "\n",
    "        #pi+\n",
    "    lpip = axs[i].errorbar(x_data-0.01,y_data['pip_%s'%target],yerr=erry_data['pip_%s'%target],color='#1f77b4',fmt='o',\n",
    "                           ms=6,alpha=0.99,label='$\\pi^{+}$')\n",
    "    axs[i].errorbar(x_data-0.01,y_data['pip_%s'%target],yerr=0.045*y_data['pip_%s'%target],color='#1f77b4',fmt='o',ms=6,alpha=0.7)\n",
    "    #pi-\n",
    "    \n",
    "    \n",
    "    lpim = axs[i].errorbar(x_data_pim+0.01 ,y_data['pim_%s'%target],yerr=erry_data['pim_%s'%target],color='#ff7f0e',fmt='s',\n",
    "                           lw=3,ms=6,alpha=0.99,label='$\\pi^{-}$')\n",
    "    axs[i].errorbar(x_data_pim+0.01 ,y_data['pim_%s'%target],yerr=0.045*y_data['pim_%s'%target],color='#ff7f0e',fmt='s',lw=3,ms=6,alpha=0.7)\n",
    "\n",
    "    axs[i].xaxis.set_label_text('$z$',fontsize=22)\n",
    "\n",
    "    \n",
    "axs[0].set_title('$C$',fontsize=22)\n",
    "axs[1].set_title('$Fe$',fontsize=22)\n",
    "axs[2].set_title('$Pb$',fontsize=22)\n",
    "axs[0].set_ylim([0.0,1.35])\n",
    "\n",
    "\n",
    "lben = axs[2].errorbar(x=np.array([0.52,0.62,0.72,0.82,0.92]),y=np.array([0.463033,0.506209,0.458207,0.388899,0.319686]),yerr=np.zeros(len(np.array([0.52,0.62,0.72,0.82,0.92]))),\n",
    "                       label='Guiot et al.',color='purple',lw=2,alpha=0.5)\n",
    "axs[1].plot(np.array([0.52,0.62,0.72,0.82,0.92]),np.array([0.613186,0.650574,0.604122,0.535936,0.465189]),\n",
    "            label='Guiot et al.',color='purple',lw=2,alpha=0.5)\n",
    "axs[0].plot(np.array([0.52,0.62,0.72,0.82,0.92]),np.array([0.796494,0.820125,0.786835,0.736159,0.682875]), \n",
    "            label ='Guiot et al.',color='purple',lw=2,alpha=0.5)\n",
    "\n",
    "#handles = [lpip,lpim,lgibuu_pim,lgibuu_pim,lben]\n",
    "# labels=np.array(['GiBUU $\\pi^{+}$','GiBUU $\\pi^{-}$','Guiot $\\pi^{\\pm}$','$\\pi^{-}$','$\\pi^{+}$'])\n",
    "#handles = [handles[i] for i in [0,1,2,4,3]]\n",
    "#line_labels =['ben','a','b','c','d']\n",
    "#fig.legend(handles=handles)\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "for i,target in enumerate(['C','Fe','Pb']):\n",
    "    axs[i].errorbar(x_FF[2:9],FF['%s_pip'%target][2:9],label='pi+ %s'%target,color='green')\n",
    "    axs[i].errorbar(x_FF[2:9],FF['%s_pim'%target][2:9],label ='pi- %s'%target,color='red')\n",
    "    lzurita_pim = axs[i].fill_between(x_FF[2:9],errFF_minus['%s_pim'%target][2:9],\n",
    "                                      errFF_plus['%s_pim'%target][2:9],alpha=0.2,label='nFF, $\\pi^{-}$',color='red')                 \n",
    "\n",
    "    lzurita_pip = axs[i].fill_between(x_FF[2:9],errFF_minus['%s_pip'%target][2:9],\n",
    "                                      errFF_plus['%s_pip'%target][2:9],alpha=0.2,label='nFF, $\\pi^{+}$',color='green')\n",
    "\n",
    "handles = [lpip,lpim, lgibuu_pip, lgibuu_pim,lben,lzurita_pip,lzurita_pim]\n",
    "\n",
    "\n",
    "fig.legend(handles = handles,     # The line objects,   # The labels for each line\n",
    "           loc=\"center right\",   # Position of legend\n",
    "           borderaxespad=0.01,    # Small spacing around legend box\n",
    "           title=\"\" , # Title for the legend\n",
    "           frameon=False,\n",
    "           fontsize=18\n",
    "          )\n",
    "\n",
    "#fig.legend(np.array([lpip,lpim]),     # The line objects\n",
    "#           labels=np.array(['bedn','as']),   # The labels for each line\n",
    "#           loc=\"upper right\",   # Position of legend\n",
    "#           borderaxespad=0.05,    # Small spacing around legend box\n",
    "#           title=\"\" , # Title for the legend\n",
    "#           frameon=False \n",
    "#          )\n",
    "plt.subplots_adjust(right=0.85)\n",
    "\n",
    "axs[0].yaxis.set_label_text('$R_{h}$',fontsize=22)\n",
    "\n",
    "\n",
    "#plt.tight_layout()\n",
    "plt.savefig('Rh_data_gibuu_3panels.png')\n",
    "plt.savefig('Rh_data_gibuu_3panels.pdf')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dict_keys([])\n"
     ]
    }
   ],
   "source": [
    "print (ratio.keys())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# momentum"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(8,6))\n",
    "\n",
    "\n",
    "colors = {}\n",
    "colors['C'] = 'red'\n",
    "colors['Fe'] = 'blue'\n",
    "colors['Pb']= 'black'\n",
    "\n",
    "for target in ['C','Fe','Pb']:\n",
    "    r, err,x = getRatio(df['GiBUU_%s_hadron'%target].query('pid==211'), df['GiBUU_D_hadron'].query('pid==211'), \n",
    "                        df['GiBUU_%s_electron'%target], df['GiBUU_D_electron'],\n",
    "                        mybins=np.linspace(0.2,2.5,10),variable='P')\n",
    "    \n",
    "    plt.errorbar(x,r,yerr=err,label=r'$\\pi^{+}$'+'%s'%target,fmt='-',ms=8,color=colors[target])\n",
    "    \n",
    "    \n",
    "    r, err,x = getRatio(df['GiBUU_%s_hadron'%target].query('pid==-211'), df['GiBUU_D_hadron'].query('pid==-211'), \n",
    "                        df['GiBUU_%s_electron'%target], df['GiBUU_D_electron'],\n",
    "                        mybins=np.linspace(0.2,2.5,10),variable='P')\n",
    "    \n",
    "    plt.errorbar(x,r,yerr=err,label=r'$\\pi^{-}$'+'%s'%target,fmt='-',ms=8,ls='--',color=colors[target])\n",
    "    \n",
    "\n",
    "plt.xlabel('Momentum ',fontsize=22)\n",
    "plt.ylabel('$R_{h}$',fontsize=22)\n",
    "plt.legend(loc='best',ncol=3,frameon=False)\n",
    "#plt.ylim([0.0,1.3])\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.savefig('Rh_mmentum.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Transverse momentum"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(8,6))\n",
    "\n",
    "\n",
    "colors = {}\n",
    "colors['C'] = 'red'\n",
    "colors['Fe'] = 'blue'\n",
    "colors['Pb']= 'black'\n",
    "\n",
    "for target in ['C','Fe','Pb']:\n",
    "    r, err,x = getRatio(df['GiBUU_%s_hadron'%target].query('pid==211 and z>0.3and z<0.8'), df['GiBUU_D_hadron'].query('pid==211 and z>0.3 and z<0.8'), \n",
    "                        df['GiBUU_%s_electron'%target], df['GiBUU_D_electron'],\n",
    "                        mybins = np.linspace(0.01,1.2,15),variable='pt2')\n",
    "    \n",
    "    plt.errorbar(x,r,yerr=err,label=r'$\\pi^{+}$'+'%s'%target,fmt='-',ms=8,color=colors[target])\n",
    "    \n",
    "    r, err,x = getRatio(df['GiBUU_%s_hadron'%target].query('pid==-211 and z>0.3 and z<0.8'), df['GiBUU_D_hadron'].query('pid==-211 and z>0.3 and z<0.8'), \n",
    "                        df['GiBUU_%s_electron'%target], df['GiBUU_D_electron'],\n",
    "                        mybins = np.linspace(0.01,1.2,15),variable='pt2')\n",
    "    \n",
    "    plt.errorbar(x,r,yerr=err,label=r'$\\pi^{-}$'+'%s'%target,fmt='-',ms=8,ls='--',color=colors[target])\n",
    "    \n",
    "\n",
    "plt.title('0.3<z<0.8',fontsize=22)\n",
    "plt.xlabel('Transverse momentum squared [GeV$^{2}$]',fontsize=22)\n",
    "plt.ylabel('$R_{h}$',fontsize=22)\n",
    "plt.legend(loc='best',ncol=3,frameon=False)\n",
    "#plt.ylim([0.0,1.3])\n",
    "\n",
    "#plt.xscale('log')\n",
    "plt.tight_layout()\n",
    "plt.savefig('Rh_pt2.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Transverse momentum vs z"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x432 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axs = plt.subplots(1, 3,sharex=True, sharey=True,figsize=(16,6),gridspec_kw={'hspace': 0, 'wspace':0})\n",
    "\n",
    "for i,target in enumerate(['C','Fe','Pb']):\n",
    "    \n",
    "    for counter,edges in enumerate([(0.3,0.5), (0.5,0.7),(0.7,1.0)]):\n",
    "        zquery = ' z>%2.2f and z<%2.2f'%(edges[0],edges[1])\n",
    "        label = '%2.2f<z<%2.2f'%(edges[0],edges[1])\n",
    "        #zquery = ' z>0.3 and z<0.8'\n",
    "        r, err,x = getRatio(df['GiBUU_%s_hadron'%target].query('pid==211 and' +zquery), df['GiBUU_D_hadron'].query('pid==211 and' + zquery),\n",
    "                            df['GiBUU_%s_electron'%target], df['GiBUU_D_electron'],\n",
    "                            mybins = np.linspace(0.01,1.22,10),variable='pt2')\n",
    "    \n",
    "        axs[i].set_title(target)\n",
    "        axs[i].errorbar(x,r,yerr=err,fmt='-',ms=8,label=label)\n",
    "        axs[i].legend(loc='best',frameon=False)\n",
    "        axs[i].xaxis.set_label_text('$p_{T}^{2}$ [GeV$^{2}$]',fontsize=22)\n",
    "        axs[i].yaxis.set_data_interval(0,1.0)\n",
    "axs[0].yaxis.set_label_text('$R_{h}$',fontsize=22)\n",
    "plt.tight_layout()\n",
    "plt.savefig('Multiplicityratio_pt2_3panels.pdf')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3x3 panel figure"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## pi+"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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Dhw7G6XS6dcgvvfSS2zHVvXZNHTt2zIwZM8Y0a9bMtGzZstx2zZo1K0kide3atczt5MmTXonFxVPPT3kqegPnredHpKGqTXKmKby21fdefB4cDoe54oorTPv27U1gYGBJ+2bNmpX6RFd9r4jn1UX/W59f3+p/bf/4xz9K9vv7+5t27dq5PUdjx46t1bVFpGJKzlQzOWOMMe+++26pzHZYWFiZnwaU1wHGx8eb1q1blwyld22uzr6sc1X32p6Qk5NTZv358+fdYihv80Ysl/PE81Oeit7AVffaIk1NbZIzxjSt13ZT7XsfffRRExwcXOrnCQgIMMOHDzcFBQW1vraIVK4u+t+G8vpuqv2vS3JycqlbrZo3b26eeeaZWl9bRCpWUXLGsvdLdHS0SU5O9nUYIiIN2vTpdrlsWdXaR0dHo75XRMT71P+KiHifZVk7jTHRZe3Tak0iIiIiIiIiIj6k5IyIiIiIiIiIiA8pOSMiIiIiIiIi4kNKzoiIiIiIiIiI+JCSMyIiIiIiIiIiPqTkjIiIiIiIiIiIDyk5IyIiIiIiIiLiQwG+DkBERBqPzZvB4YATJyAiwtfRiIiIiIg0DErOiIiIR+TkwMGD3wMQHNzBx9GIiIiIiDQcuq1JREQ8Yvt2AIuAgCycTl9HIyIiIiLScCg5IyIiHrFrl106HCd9G4iIiIiISAOj5IyIiHjEvn122bz5d74NRERERESkgVFyRkREPCIjwy4DA4/4NhARERERkQZGyRkREam1zEw4dQqgiMDAb30djoiIiIhIg6LkjIiI1Jo9GTA4HKfx8yvwbTAiIiIiIg2MkjMiIlJrycl22azZv30biIiIiIhIA6TkjIiI1Fp6ul1qMmARERERkepTckZERGrt4mTAh30ah4iIiIhIQxTg6wBERKRhO3IEzp6F5s2hqEgjZ0REREREqksjZ0REpFa++MIuu3UDP/1VERERERGpNv0bLSIitbJnj1327u3bOEREREREGiolZ0REpFbS0uzy6qt9G4eIiIiISEOl5IyIiNRYUZE95wzAkCG+jUVEREREpKFSckZERGosLQ1ycyE0FLp29XU0IiIiIiINk5IzIiJSY9u322VUlCYDFhERERGpKf0rLSIiNZaSYpd9+/o2DhERERGRhkzJGRERqbEDB+xy4EC7LCoq8l0wIiIiIiINVICvAxARkYbpwgU4dsz+2jUZ8HffJWFZARw5coSumoRGRERERKRKlJwREZEa2b0b8vMhLAzatoXMzEzy888BFu3atfN1eCIiIiIiDYZuaxIRkRrZscMuu3e3yy1btgDgcIQSGBjoo6hERERERBoeJWdERKRG9u+3y3797HJHcbamefMrfBSRiIiIiEjDpOSMiIjUyNdf2+U119jlvn37CA6GgQPDfReUiIiIiEgDpOSMiIhUW3Y2nDgBfn5w7bVw4cIFjhw5AkBERISPoxMRERERaViUnBERkWrbvh2KiiAiAkJD7Vua8vPzad68OSEhIb4OT0RERESkQVFyRkREqi052S579rTLbdu2AXDFFZpvRkRERESkupScERGRaktNtUvXZMB79+4FoHXr1j6KSERERESk4VJyRkRqZsQIe5MmKSPDLgcPtsuvvvoK0HwzIiIiIiI1oeSMiIhUy8mT8MMP4HDAwIGQkZHBmTNnCAoK0sgZEREREZEaUHJGPGbFihVYlsWmTZt8HYqI1KHPP7fLTp2gWTPYunUrAN27d8fPT39WRERERESqS/9FS7ny8vJ4+eWXGTlyJOHh4TgcDlq1asXgwYOZNWsW6enplZ5j06ZNWJbltgUGBtK9e3emTJlCWlqaW/vDhw9jWRaTJ08u95zdunWjW7duldZdavLkyViWxeHDhyuN2SU5OZnJkyfTvXt3goKCCAkJoV+/fjzxxBNV+tnFu3Jycvjzn//MsGHDaN26NQ6Hg3bt2jFmzBhWrFhBQUGBr0NsNPbsscveve1y586dAPTv399HEYmIiIiINGwBvg5A6qeDBw8ybtw40tLSGD58OHFxcbRv357s7Gz27NnD8uXLWbhwId9++y0dO3YEYNKkSdx77700a9as1PkmTpzImDFjAMjNzSUlJYWEhATWrl3Lvn376Nq1q1d/vso8++yz/O53vyMsLIz77ruPvn37YowhNTWVN998kyVLlnD69GlatGjh61C9LyMDFi2CrVuhsBCcToiNhZkzISrKJyF98803jB07lq+++opRo0Yxe/ZswsLCOHnyJJ988glTpkzhyy+/5E9/+pNP4mtsXDnVAQNc39sV1157Le+8846PohIRERERabiUnJFScnNzGTt2LBkZGaxbt4477rijVJu8vDzi4+OxLKukzt/fH39//zLPOWjQIGJjY93qevbsyeOPP866deuIi4vz7A9RC8uXL2fu3Ln84he/4O2336Zly5Zu+//0pz/x+9//HmOMjyL0oaQkiImB/Hw7MQOQlQUJCbByJSQmwujRXg0pNzeXcePGcfDgQdauXcudd97ptn/WrFns2LGDHTt2eDWuxqqo6OJkwNdeC2fPnuX777/Hz8+PG264QckZEREREZEa0G1NUkpCQgLp6ek89dRTZSZmAAIDA5k9ezYdOnQoqavunDOuY8saaeMrFy5cYM6cOYSGhvLmm2+WSswABAUFMX/+fJxOpw8i9KGMDDsxk5NjJ2culZ9v18fEXHzn7iUJCQkcOHCAmTNnlkrMuAwePJgZM2Z4Na7G6sgRyM6GoCDo29eeb6aoqIiOHTs2vdeEiIiIiIiHKDkjpSQmJgIwdepUj50zJyeHzMxMMjMzOXr0KElJScyZM4ewsDDuuusuj12ntv75z39y4sQJ7rjjDsLDw30dTv2yaFHppMzl8vMhPt478RRz/b5OmzbNq9dtqrZts8tu3cDPj5IRSX379vVdUCIiIiIiDZxua/KE6dN9HUHZli2r0WH79+/H6XQSGRnpVl9YWMjp06fd6kJCQggKCqr0nHPnzmXu3LludVdeeSVbtmwhIiKiRnHWhf379wNw9dVX+ziSemj16qolZ1atgiVLvBMT9nPWokULunfv7rVrNmWuyYD79LHLlJQUAK655hofRSQiIiIi0vBp5IyUcvbs2TJvT0hLSyM8PNxt+8tf/lKlc06bNo0NGzawYcMG3n//fRYsWEBmZiZjxozhyJEjnv4Rauzs2bMAuj2jLNnZnm3nIeX9vkrdOHDALq++GoqKijh48CAAw4YN82FUIiIiIiINm0bOeEINR6jUV06nsyRJcanIyEg2bNgAwN69e3nyySerfM6ePXsyatSoku/HjRvH8OHDGTJkCLNmzWLNmjXVivHSiYg9eZzrTX5WVlaNzt+ohYbak/9WpZ0XOZ1OPV9eUlQErtXohwyBPXv2kJeXR8uWLUuNtBMRERERkarTyBkppV+/fpw9e5ZDhw651YeEhDBq1ChGjRrlkVsYrrvuOlq2bMlnn31WUue6RSonJ6fc486dO1fqVqqgoKBKj7n0/OXp168fALt37644+KYoNhYcjorbOBwwaZJ34inm+n11jeCQurN/P5w/b6+e3qUL/Otf/wKgd+/ePo5MRERERKRhU3JGSomJiQHsVXDqWkFBgduoh7CwMEJDQ0lLSyuz/alTp8jMzCw1v0hkZGTJvrKkpaXRokULwsLCKoznhhtuICIignfeeYcffvihmj9NIzdzZtWSM15eFt01obQ3fl+buu3b7TIqyi537doFwFVXXVXSZtmyZSxrZKMJRURERETqmpIzUsrUqVPp06cPL7zwAm+//XaZbYwxtb7Ohg0bOHfunNsoHH9/f8aPH8/+/ftZv359qWPii1cCuv32293qJ0yYAMCLL75Y6piPP/6Y1NRUxo8fj59fxb/yzZo1449//CNZWVncc889Zd4uk5eXx3/913+VeetXoxYVBYmJEBxcOknjcNj1iYkX37l7ydSpU+nduzcLFy7k3XffLbPNzp07efnll70aV2NUPPdvyWTAX3/9NQBDhw71UUQiIo1fRgbMmAEBAWBZ9ujFGTPsehERaTw054yUEhQUxIcffsi4ceO48847GTFiBLfccgsRERGcPXuW9PR03nzzTfz9/encuXOVzrlr1y5Wr14NwPnz50lNTeXVV1/F4XDw3HPPubWdP38+GzduZOzYsTzwwAMMHDiQ3NxcPv30U/7+978zfPhwJk+e7HbMlClTeP3115k3bx67d+/mpptuIigoiN27d7Ny5UoiIiKYN29elWJ98MEHOXr0KL///e/p0aMH9913H1deeSVFRUWkpaXx1ltvcfLkSWbPnl2l8zUqo0fb79Dj42HpUigstP9LnDTJHjHj5cQMQHBwMB988AFjx45lwoQJ3HLLLdx88820adOGU6dOsXHjRj7++GOefvppr8fW2Hz1lV1GR8OxY8fIzMykWbNmDB482LeBiYg0UklJEBNjL4ZYWGjXZWVBQgKsXGl/JjJ6tG9jFBERz7A8MQKivrEsKxhIBboBfzHGPFrZMdHR0SY5ObmuQ2tQcnNzWb58OYmJiezbt48zZ84QEhJCjx49GDlyJA899JDbXBMrVqxgypQpbNy4kREjRgCwadMmfvGLX7id18/PjzZt2nDjjTcye/bsMt/Yff/99zz//PMkJSVx7NgxAgIC6NWrF/fccw9xcXE0b9681DHnz58nPj6eNWvW8PXXX1NQUECnTp0YPXo0c+bMoX379tX6+ZOTk3nppZfYvHkzx48fx8/Pj6ioKG6++WZ+/etf07Nnz2qdr9Epfo7ZtMmXUZTIyclh2bJlrF27ltTUVLKzs2ndujXR0dHce++93Hffffj7+/s6zAYrLw8GtzlIAX5sOdKNTz99k9/97nf07t2bd955p8bnjY6ORn2viEhpGRkwYABUMKUewcH2ZyY1+WxE/a+IiPdZlrXTGBNd5r5GmpxZCEwHQlFyRqRu1LPkjNStf/4Tpt5ymPCAM2w+cxVPPfUUH3zwAXfccQfPP/98jc+rNwciImWbMcMeIZOfX34bhwOmTYMlS6p/fvW/IiLeV1FyptHNOWNZ1iDgCWCur2MREWksXP+/RwV9B0BqaiqAbmkSEakjq1dXnJgBe/+qVd6JR0RE6lajmnPGsix/4FXg78A6YJFvIxJpxDRipunIyCB32VauzyngVzmryW9xD80dDgJbt2bYsGHubadPt0ut2CQiUivZ2Z5tJyIi9VtjGzkTB/QBKr2NSUREqiApCQYMIDf9CAEU0I0jfJudTdjp04w/dIiwHTt8HaGISKMUGurZdiIiUr9VOzljWVYN7mqte5ZlRQK/B541xhyu4jHTLMtKtiwr+dSpU3Uan4hIg5ORATExnM8p4N+mLX4U0ZmjZGD/8ehVVGQvI1LN9VxfeeUVoqOjiY6ORn2viEjZYmPtOWUq4nDYCyZWlfpfEZH6qyYjZ+7zeBSe8VfgEPBiVQ8wxrxijIk2xkSHh4fXXWQiIg3RokWQn8+3dMFg0YljOCjAlYqJAnvCg/j4ap122rRpJCcnk5ycjPpeEZGyzZxZteRMXFzVz6n+V0Sk/qpJcsbyeBS1ZFlWLHAL8IgxppKp00REpEqKZ6M8RCQA3TiMgdLJGc1GKSLicVFRkJhoL5d9eZLG4bDrExNrtoy2iIjUP5VOCGxZ1v2Xfgs4Lq0zxrxWF4FVlWVZzbFHy3wEnLAsq0fxro7FZcviukxjzE++iFFEpEEqnmXyCF0BOzlzCsgCWgDhl7UTERHPGj0aUlLsAYpLl0JhITid9q1McXFKzIiINCZVWa3pF5d977ikzgA+Tc4AQdjvEcYWb5eLLd6eAhZ6MS4RkYYtNBSyskpGzkRyiIPFu6K4ZBilZqMUEakzUVGwZIm9iYhI41VpcsYYM+XS7y3Luv3yOh87B9xdRn048DL2str/C6R4MygRkQYvNpazr67hh4I2NOc8EZzgs+JdJR/WVnc2ShERERERKaUqI2cuV6/mnCmeYybx8nrLsroVf5lhjCm1X0REKjFzJof/114quwvf4odxn28Gqj8bpYiIiIiIlFKTCYG3ejwKEWlwRoywN2nEoqLYcNdfKbQC6OJ3jBzgOHZWv3NAgGajFBERERHxkFK1IZAAACAASURBVGonZ4wx4+siEE8zxhw2xljGmEd9HYuISEP1+YVodnaPoeWIQXxjWRQBHf39aTZ9uj1L5ejRvg5RRERERKTBq3ZyxrKs6yzLclTeUpqaFStWYFkWmzZt8nUoIuIBRUVw+DDkOVrS7eWnWdOpE1uCgzkdF2fPTKkRMyIiIiIiHlGT25r+BcR4OhCpf/Ly8nj55ZcZOXIk4eHhOBwOWrVqxeDBg5k1axbp6emVnmPTpk1YluW2BQYG0r17d6ZMmUJaWppb+8OHD2NZFpMnTy73nN26daNbt26V1l1q8uTJWJbF4cOHK415xIgRpWJ2bbfeemulx4v3lfV7dum2bds2X4fYIGVkwLlz9t1LPXvClzk5AERHR/s4MhERERGRxqWmEwIvsCzrbmAfsL+4/MoYU2RZVmvgHWPMzz0Yp3jZwYMHGTduHGlpaQwfPpy4uDjat29PdnY2e/bsYfny5SxcuJBvv/2Wjh07AjBp0iTuvfdemjVrVup8EydOZMyYMQDk5uaSkpJCQkICa9euZd++fXTt2tWrP19lmjdvTkJCQqn6Dh06+CCa+iUjAxYtgq1bobAQnE6IjYWZM30/kOLS37NL9ejRwwfRNHxffGGXkZFQVFTAoY4d4cIFbrjhhvIPKioCv5rk/UVEREREmq6aJGcAfgQGALdjJ2sMcMGyrAPYo3EqfYtmWdYIIBq4ABwA9hpjTtQwHvGg3Nxcxo4dS0ZGBuvWreOOO+4o1SYvL4/4+Hgs6+LiXf7+/vj7+5d5zkGDBhEbG+tW17NnTx5//HHWrVtHXD1b7SUgIKBUvAJJSRATA/n5dmIGICsLEhJg5Up7blhfTkFS1u+Z1NzevXbZty/s2LGDCxcu0KZNGzp16lT+QZ98Av7+cOiQndUREREREZFK1fTjzT8ZY3oATuB64NfA/wKZxef8a0UHW5b138CnwJ+APwNJwHeWZf3bsqz1lmW9YFmW3mH5SEJCAunp6Tz11FNlJmYAAgMDmT17tttIkurOOeM6tqyRNg3Fd999xyOPPELnzp1p1qwZHTt25JFHHiEzM9PXoXlcRoadmMnJsZMzl8rPt+tjYux29dkbb7zBDTfcQIsWLQgODmbIkCGsW7fO12HVS647F6++Gj7//HMAevXqVf4BBw7ATz/B6dPQpo0XIhQRERERaRxqOnIGAGPMOWBb8VYdM4B/Ys9dcx7oA1wNXFW8TQdCgNW1iU9qJjExEYCpU6d67Jw5OTklCYvc3Fz279/PnDlzCAsL46677vLYdTyprATLFVdcUTI66NChQ1x//fUUFhby0EMP0b17d77++mv++te/snHjRnbs2IHT6fR22HVm0aLSSZnL5edDfLw9V6wvXPp75tK8eXNatGgBwDPPPMOCBQsYM2YMf/jDH/Dz82Pt2rXcdddd/PWvf+WRRx7xRdj1UkEBfPut/fXQofDee/YwmoEDB5Z/0Jo1dtmmjX2/m4iIiIiIVElNkzOmltcNBFYZY04Wf/9F8VbCsqwGswzI9Om+jqBsy5bV7Lj9+/fjdDqJvOyWhMLCQk6fPu1WFxISQlBQUKXnnDt3LnPnznWru/LKK9myZQsRERE1C7QOnTt3jvDw8FL1aWlp9OnTB4BHH30UYwx79uxxG0F01113cf3117N48WL+3//7f16Lua6tXl215MyqVb5LzpT1e3bPPfewZs0atm/fzoIFC/jtb3/Ls88+W7L/scceY9y4cTzzzDNMmjSJkJAQb4ddL6WkwIULcMUV0KEDfPXVVwDlzzdTVASffWZ/XcHk3CIiIiIiUlpNkzNLLMuahj0ZcMlmjDlTxeM3Ad0ramCMqec3RzReZ8+eLTNhkpaWRv/+/d3qXnjhBZ588slKzzlt2jTuvvtuwJ6v5ssvv2TRokWMGTOGjRs31rsJgQMDA3n//fdL1Xfp0gWAH3/8kaSkJKZNm0azZs3cRmtERUURGRnJ+vXrG1VyJjvbs+3qwqW/Zy6u3+XXX38dy7K4//77S42uue222/jwww/54osvGDlypNfirc927LDLyEh7lNhPP/1EYGAgV199ddkHfP45nDwJAQFQz17PIiIiIiL1XU2TM+nYtx1NLi4NgGVZ31O8epMx5mlXY8uy5gCpxds3wH8B6y3LesUYc6jG0dcTNR2hUl85nU7Onj1bqj4yMpINGzYAsHfv3iolZVx69uzJqFGjSr4fN24cw4cPZ8iQIcyaNYs1rtshqujSiYjr4jh/f3+3eC+Xnp6OMYZly5axrJxfgPImR26oQkPtyX+r0s5XLv89u1RaWhrGGHr27Fnu8f/+97/rKrQGJyXFLvv1gy1btgDQvXt3/Mpbian4dkgiIrRak4hIHcjIyGDRokWsXr2a7OxsQkNDiY2NZebMmUT5erlEERGptZokZ/4CrDPGbASwLKs70O+ybQTw9CXHzAVc71TPY6/OdBZItizrWeBtY8y3NfkBxPP69evH5s2bOXTokNutTSEhISVvfAMCajVdEQDXXXcdLVu25DPXrRBQcotUTk5OuceVdctRUFAQP/zwQ4XHXHr+2jLGvrPvgQceKHd1oODgYI9cq76IjbVXZaro1iaHAyZN8l5M1WGMwd/fn48++qjcBEO/fv28HFX99fXXdjloEHz00U6AUiPnShQU2Gurg1ZoEhGpA0lJScTExJCfn09+8R/irKwsEhISWLlyJYmJiYz25XKJIiJSa9V+h22M+c1l3x8EDgLvueosy7p8yEAo0Bd7+e3+l5RXAPHAi5ZlZQJ7L92MMfuqG5/UXkxMDJs3byYhIYE//vGPdXqtgoICzp8/X/J9WFgYoaGhpKWlldn+1KlTZGZmct1117nVR0ZGkp6eTmZmJmFhYaWOS0tLo0WLFmXuq4kePXpgWRb5+fkVjrBpTGbOtJfLriw5U89WRS/Rs2dPPvnkEyIjIyscPSOQlwfffw+WBdddB4sW2a/Ha6+9tuwDPvzQvp8tPBzatfNipCIijV9GRgYxMTFlfnDlStbExMSQkpKiETQiIg1YnYw9N8YUXvb9BWPMXmPMKmPM08aYW40xHYEwYCTwBHZyxwk8ArwG7KmL2KRyU6dOpU+fPrzwwgu8/fbbZbZxjRypjQ0bNnDu3Dmuueaakjp/f3/Gjx/P/v37Wb9+falj4uPjAbj99tvd6idMmADAiy++WOqYjz/+mNTUVMaPH1/+LRnV1K5dO2655Rbeeustdrgm57iEMYZTp0555Fr1RVSUfedKcLCdhLmUw2HXJyba7eqjScVDembPnk1hYWGp/bql6aLkZCgshLZtwc/vLN999x1+fn7ceOONZR/wzjt2OXKkbmkSEfGwRYsWlYyWKU9+fn7J/0giItIw1f7elFowxvyIPTnwJledZU8K0h17ZI34QFBQEB9++CHjxo3jzjvvZMSIEdxyyy1ERERw9uxZ0tPTefPNN/H396dz585VOueuXbtYvdpeGf38+fOkpqby6quv4nA4eO6559zazp8/n40bNzJ27FgeeOABBg4cSG5uLp9++il///vfGT58OJMnT3Y7ZsqUKbz++uvMmzeP3bt3c9NNNxEUFMTu3btZuXIlERERzJs3zyOPj8uyZcu48cYbufHGG7n//vsZOHAgBQUFHDp0iHfeeYeHHnqoUU0IDDB6tD0XSXw8LF1qv4F3Ou1bmeLi6m9iBmDo0KH89re/5Q9/+AODBg0iJiaG9u3bc/z4cZKTk1m/fj25ubm+DrNe2L7dLnv0gM8//5yioiI6depU9tLwZ8/CTvu2JyZOhDISpCIiUnOrV6+uUnJm1apVLPHVcokiIlJrPk3OlMXYQzIyijfxke7du7Nz506WL19OYmIiixYt4syZM4SEhNCjRw+mTp3KQw89RO/evat0vjfeeIM33ngDAD8/P9q0acPNN9/M7NmzGTx4sFvbLl26sHPnTp5//nmSkpJYtWoVAQEB9OrVi3nz5hEXF4fjsqEbDoeD9evXEx8fz5o1a5g7dy4FBQV06tSJ6dOnM2fOHNq3b++ZB6dY165d2bVrF/Pnz+e9997jtddeIzg4mM6dOzNhwgRiYmI8er36IirKXip7/377+02bfBpOtTz77LNER0fz0ksv8eKLL5KTk0O7du3o168fixcv9nV49Ybrue3XD7Zt2wZA3759y2781lv2vW6RkVDF/kBERKouu4rLIFa1nYiI1E9WbW9PsSyrNfBzoBVwDNhijDlf8VElx3Y1xhypVQAeEh0dbZKTk30dhkiDMWKEXTak5IxUzfDh9qrYr74Kf/5zDKmpqTzzzDM88MADpRvfdRd8+SU88gg8/jhMn27XV3EZu+joaNT3ioiUz+l0klWF5RKdTidnzpyp8nnV/4qIeJ9lWTuNMdFl7avV5ACWZf0GOAqsBf4X+Bg4ZlnWfRUcc51lWc9ZlrUXjY4REalXfvwRTp2CgAAYNKiIgwcPApQ938yxY5CWZs8zM3GilyMVEWkaYmNjS40YvpzD4SiZW01ERBqmGt/WZFnWKOB/ytjVBnjNsqwLxpjE4rY3ArHABMC1BrIF1H5WWRHxCY2YaZy2bQNjoEMH+OqrFHJzc3E6nUSWtUT2G2/YjQcMsGcPFhERj5s5cyYrV66scN4Zh8NBXH1dLlFERKqkNiNnHisuD2EnXSKBYcAHxef9i2VZEZZlbQb+ATwMtMVOypzEXpGp3BE2IiLifbt322WvXrB161YAevfuXfZKZxs22OW4cV6KTkSk6YmKiiIxMZHg4OAy59wLDg4mMTFRy2iLiDRwtUnOXIc98iXWGPOeMeaIMeafxpjbgA3Yy2R/BtyInZBJBuYA1xhj2htjJhtj3qxl/CIi4kFffmmX/fvD3r17i78uY/G8lBQ4ehSaN4c77/RihCIiTc/o0aNJSUlh2rRpOJ1O/Pz8cDqdTJs2jZSUFEaPHu3rEEVEpJZqs1pTayDPGPN5GftmAzcDvYFvgPuMMZpxTESknssongns2mth9eoDAFx//fWlG65Zc7FhcLCXohMRabqioqJYsmSJlssWEWmkapOc8QfKmxJ+L5BffP7/VGJGRKT+O3YMzpyxB8OEhX3PqVOncDgcpZa7p6jo4qRDd9zhvq+KqzSJiIiIiMhFtVqtqTzGmELgx+JvyxpZIyIi9cy2bXbZtSv8619bi7/uSrNmzdwbbtoEp09Dy5bwy196N0gRERERkUaoTpIzlzLGZNf1NUREpPZckwH37g3JyfaAx379+pVumJholz//ub2MtoiIiIiI1EptbmsCaGdZViawu3jbVVx+VdvARETEu9LT7fKqq+D//i8VgGuvvda9UV7exSE2//EfXoxORERERKTxqs1HngZ7FabWwE3ATOB14EvgLPZqTViWNcmyrKsty2pW3olERMS3iorg8GH766uvzuPbb78F4IYbbnBv+N57kJsLHTpAdLR3gxQRERERaaRqM3KmBTAAGFi8XQ30AwKBkEvarSguCy3L+gpIuXQzxhyrRQwi4iMjRowAYJNrYlhp0A4cgJwcCA2Ff/97GwUFBbRr1462bdu6N3z3XbscNcr7QYqIiIiINFI1Ts4YY3KAbcUbAJZl+QN9sRM1rqTNVcAVxde6snj/Pa7T1CYGERHxjO3b7TIyErZvt7v1Pn36uDfKzISUFLAsuPdeL0coIiIiItJ4eXQmR2NMoTFmvzFmtTFmpjFmpDGmDRAJ3Ak8C3wAfId9S5TlyeuLb61YsQLLsprUSArLspg8ebKvw5Aq+t3vfodlWRx23b8jJfbutcs+fSAlJQWAgQMHujd66y0oKIBevewsjoiIiIiIeIRXltkwxhwxxrxjjPmdMeZ2Y0wX7DlpbvHG9aVm8vLyePnllxk5ciTh4eE4HA5atWrF4MGDmTVrFumu2UMrsGnTJizLctsCAwPp3r07U6ZMIS0tza394cOHK014dOvWjW7dulVad6nJkydX+U35iBEj3OJ1OBx07NiRiRMnkpqaWunx4n1l/Z6FhoZyzTXX8D//8z8UFhb6OsR678ABuxw4sIivv/4aKGO+mY8+ssvRo70YmYiIiIhI4+ezW4qMMT8Cn/rq+lKxgwcPMm7cONLS0hg+fDhxcXG0b9+e7Oxs9uzZw/Lly1m4cCHffvstHTt2BGDSpEnce++9NGtWeu7niRMnMmbMGAByc3NJSUkhISGBtWvXsm/fPrp27erVn68yzZs3JyEhAbDj/eKLL1i5ciUffvghO3bsoHfv3j6O0HcyMjJYtGgRW7dupbCwEKfTSWxsLDNnziQqKsqnsbl+z4wxfP/996xYsYInnniC1NRUXnnlFZ/GVp8VFMDRo/bX4eFfk52dTUhICFdeeeXFRhkZ8M034HDA3Xf7JlARERERkUZK871IKbm5uYwdO5aMjAzWrVvHHXfcUapNXl4e8fHxWNbFO9P8/f3x9/cv85yDBg0iNjbWra5nz548/vjjrFu3jri4OM/+ELUUEBDgFu/DDz9M3759efLJJ1m8eDF/+ctffBid7yQlJRETE0N+fn7JaJSsrCwSEhJYuXIliYmJjPbhqIrLf89+/etf07dvXxISEvjDH/7gs7jqu927IT8fWreG9PQtAPTo0QM/v0sGV65ZY5dXX203FBERERERj/HKbU3SsCQkJJCens5TTz1VZmIGIDAwkNmzZ9OhQ4eSuurOOeM6tqyRNvXRL3/5SwC++eabUvs++eQThgwZQnBwMBERETz++OOcO3fO2yHWqYyMDGJiYsjJySE/P99tX35+Pjk5OcTExJCRkeGjCEtzOp0MHToUYwwHDx4sqT937hyPPfYYERERBAUFcd111/Hpp013IN+OHXYZFQW7du0CoH///hcbFBXBJ5/YX992m5ejExGRqpg+3d5ERKRhUnJGSklMTARg6tSpHjtnTk4OmZmZZGZmcvToUZKSkpgzZw5hYWHcddddHrtOXXLNwxEWFuZWv2vXLiZMmMDQoUNZuHAhw4YNY/Hixdx2220UFRX5ItQ6sWjRolJJmcvl5+cTHx/vpYgqZ4wpSaZd+rzdf//9bNu2jVmzZjF79myOHTvGrbfeyieuBEQTs2+fXfbrR8lcUkOGDLnYYOdOOHECgoNh3DgfRCgiIiIi0rjptiYPmF5PP6ZYtmxZjY7bv38/TqeTyMtWYyksLOT06dNudSEhIQQFBVV6zrlz5zJ37ly3uiuvvJItW7YQERFRozjrWmZmJnBxzhnXrVf333+/W7t9+/bx9ttvM2HCBABmzJjB448/zuLFi/nb3/7GvY1kyeHVq1dXKTmzatUqlixZ4qWo3LmSgMYYjh8/zksvvcTevXsZMmQIPXv2LGkXEBDAli1bSkZtPfjgg/Tp04ff/OY3pSapbgqK845ERZ3mxIkT+Pv7M3To0IsN/vY3u7z+eggM9H6AIiIiIiKNnEbOSClnz57F6XSWqk9LSyM8PNxtq+rcK9OmTWPDhg1s2LCB999/nwULFpCZmcmYMWM4cuSIp3+EWjt37lzJz9ilSxfuvvtuCgoKWLFiRcntTS69e/cuScy4PPPMMwC8/fbbXou5rmVnZ3u0XV2YO3cu4eHhtG3blquuuorly5dz22238c4777i1i4uLc7udrlOnTvzqV78iPT29ySVncnLg+HGwLMjP34oxhs6dOxMcHGw3KCiAzZvtrxvIKDcRERERkYZGI2c8oKYjVOorp9PJ2bNnS9VHRkayYcMGAPbu3cuTTz5Z5XP27NmTUaNGlXw/btw4hg8fzpAhQ5g1axZrXJONVtGlExHXxXGBgYG8//77gD3Kol27dvTu3dt9gtRiffv2LVXXvn17WrVq5TbPSUMXGhpKVlZWldr5yrRp07j77ruxLIuQkBB69epF6zImry3rOXOtTHTw4MEy9zdW27fbU8q0bw+pqduByx6f9evh7Fl7EuCf/9xHUYqIiIiING5Kzkgp/fr1Y/PmzRw6dMjt1qaQkJCSBEtAQO1/da677jpatmzJZ599VlLnukUqJyen3ONco1ouFRQUxA8//FDhMZeevzL+/v5uyaSKlJfwMcZU6fiGIjY2loSEhApvbXI4HEyaNMmLUbm7PAlYnrKes8b2fFWVazLgHj3sWxoBBg8efLGBa/TXyJFQRnJSRERERERqT/9pSykxMTGAvWpTXSsoKHAbjREWFkZoaGi5t5acOnWKzMxMunfv7lYfGRlZsq8saWlptGjRotRkvp7w5Zdflqo7fvw4Z86cKRVnQzZz5kwcDkeFbRwOR71bFr0sZT1nrt+5xvScVYXroejbt6BkpNewYcPsyuzsi9mbe+7xQXQiIiIiIk2DkjNSytSpU+nTpw8vvPBCuXOmeGKUwYYNGzh37hzXXHNNSZ2/vz/jx49n//79rF+/vtQxrpWAbr/9drd615wvL774YqljPv74Y1JTUxk/fnyZtyXV1oEDB0rNabJgwQK3uBqDqKgoEhMTCQ4OLpWkcTgcBAcHk5iYSFRUlI8irLr4+HguXLhQ8v2xY8f4v//7P3r37t2kbmkCcK0M73Tu5sKFC7Ru3ZpOnTrZlevWwfnz0KWLvZSTiIjUS2fPwpYtUMEgYhERqed0W5OUEhQUxIcffsi4ceO48847GTFiBLfccgsRERGcPXuW9PR03nzzTfz9/encuXOVzrlr1y5Wr14NwPnz50lNTeXVV1/F4XDw3HPPubWdP38+GzduZOzYsTzwwAMMHDiQ3NxcPv30U/7+978zfPhwJk+e7HbMlClTeP3115k3bx67d+/mpptuIigoiN27d7Ny5UoiIiKYN2+eRx6fy/Xv35/Y2FgefvhhevbsycaNG0lMTGT48OHc08hGG4wePZqUlBTi4+NZunQphYWFOJ1OJk2aRFxcXINIzIA9YmvYsGFMnDiRrKwsli5dSm5uLosXL/Z1aF6VmWlvDgf8+OM/AejVq9fFBh98YJeXTYItIiL1y0sv2ZO7V2FqOBERqaeUnJEyde/enZ07d7J8+XISExNZtGgRZ86cISQkhB49ejB16lQeeughevfuXaXzvfHGG7zxxhsA+Pn50aZNG26++WZmz57tPr8F0KVLF3bu3Mnzzz9PUlISq1atIiAggF69ejFv3jzi4uLKHLmxfv164uPjWbNmDXPnzqWgoIBOnToxffp05syZQ/v27T3z4Fxm0KBBvPjii8yZM4elS5fidDp59NFHef755+tkpI6vRUVFsWTJkpL5STZt2uTbgGrgtddeY+nSpcyfP5+ffvqJAQMGsGLFCm6++WZfh+ZV27bZZceOkJq6B7B/nwH4/ntITbXnmWkky8GLiDRGZ89enB6siQ3+FBFpVKymOgnm5aKjo01ycrKvwxBpMEaMGAE0zOSM2J59Ft54A265BXbsuJ7Tp0/z2muv2QnTP/8Zli2Dn/0MEhPrLIbo6GjU94qI1Nxzz8Hrr9vThN16K7z6atWOU/8rIuJ9lmXtNMZEl7Wv8X2sLyIiVeKaDLhDh6OcPn2a5s2bM3DgQLvy44/tcvx43wQnIiKV+umni6NmfvYzLaonIuJJGRkwYwY4nXb/6nTa32dk1M31dFuTiNSIRsw0fIcO2WVR0VbAvp0xICDAvp3p8GFo1gzuust3AYqISIUWL4acHIiMtG9RFRERz0hKgpgYyM+3N7Dn9UpIgJUr7YHlo0d79prKr4uINEFHjtjzFAQGwokT2wHo51qR6c037fKaayA01EcRiohIRR/b/vQTvPuu3WzGDI2aERHxlIwMOzGTk3MxMeOSn2/Xx8R4fgSNunERkSbINRlwt26Qnm7f33TttddCURFs3GjvvPNO3wQnIiL2x7YDBtgf02ZlgTEXP7YdMIAVjyaTkwPdu8OYMbB583Q2b57u66hFRBq8RYtKJ2Uul58P8fGeva6SMyIiTdAee3EmIiPPcezYMSzL4sYbb4StW+31tUND7ZklRUTE+yr52DY3p4iD/7eNwPwz/Od/atSMiIgnrV5dteTMqlWeva66chGRJig93S4DA3dQVFREhw4daNWq1cWVmYYNgwBNSyYi4hOVfGz7GSPJNc0ZUfCZ8ugiIh6Wne3ZdlWl/7xFRJqYoiJ7zhmAvLx/AtC3b1+4cAH+9S97xz33+Cg6ERGp6GPbHIL4hFH4UcTDp57Dz+8OAH7+c28GKCLSeIWG2neRVqWdJ2nkjIhIE/Pll5Cba88reezYXgAGDRoE778P585Bu3YweLCPoxQRacIq+Dj2M0aSQzC9+Ior8/Z4MSgRkaYhNhYcjorbOBwwaZJnr6vkjIhIE/PFF3bZtWsRGcXTzN94443w3nv2jpEjNYGBiIgvlfNxrGvUDMB43i9pl5OTw5YtWzh9+rTXQhQRaaxmzqxaciYuzrPX1X/fIiJNTEqKXYaFHSAnJwen00lUmzawe7e9Y+JE3wUnIiLlfmz7KTeRSxC9OUAvx+GSj21ffPFFjh8/zueff+7lQEVEGp+oKHsaxuDg0l2xw2HXJyba7TxJyRkRkSZm3To4cQLA/ie+R48e+CUm2vMbREVBz54+jU9EpMkr42PbUqNmij+2PXnyJGvXrgXgZz/7mddDFRFpjEaPtj/QnDbNngrAz88up02z60eP9vw1lZwREWlCLlywp5UByMraDsDVV18NSUl2pZb9EBHxvTI+tv2EUeQRSC/ra3oGf1/yse38+fPJy8ujVUEBXV2zvYuISK1FRcGSJXDmDBQW2uWSJZ4fMeOi5IyISBOyezcYA82bw5EjXwJwfbducOCAvXT2vff6NkAREbFd8rFtdosIPmEUBX7N+MX40JKPbb/++ms2bNgAwFVt2vg4YBERqQ0lZ0REfCQjA2bMcB8qOWOGXV9XPvzQLkNCMjl16hQOh4PBBw7YGZv+/SEsrO4uLiIi1VP8se3zjx5nQ5/H+PG2KQx693clH9vOmzePgoIChgwZQrugIN/GKiIitaLkgfqNBQAAIABJREFUjIiIDyQlwYABkJAAWVl2biQry/5+wICLdxl50qZNUDwtASEh/wKgS5cuNNu0ya4cP97zFxURkVo5efJiYv03v7lYv2PHDrZt20ZAQADPPPOMb4ITEWkCMjIymDFjBk6nEz8/P5xOJzNmzChZ9dRTlJwREfGyjAyIiYGcHHsO3kvl59v1MTGeHUFz8iQ88wwUFUHnzuDn908ABoWHw3ffQVAQ3HGH5y4oIiIeER9vzxfWty+MHHmxfv78+RhjGDVqFL179ya4oMB3QYqINFJJSUkMGDCAhIQEsrKyMMaQlZVFQkICAwYMIMmDn6gqOSMi4mWLFpVOylwuP9/+h9wTiors26XOnIFu3WDwYDh9OhWAoT/+aDe67joIDPTMBUVExCNOnICPPrK/fuyxi/UfffQRX375Jc2bN2fWrFmwZw9xR49yyw8/2J2+iIjUWkZGBjExMfz/7J15eFTV+cc/d7Ykk8lkIYSwL2GTrSxhdRetYLVuEapA3TAKohap+rNatVYttQ1uiLJoVeLaWKtVkGoFRAFZZFFRhIhsIRDIOpkkM5N7f3+c3NkySSZkssH5PM957p1778w9987Me879nve8r9PpxB3UeXe73TidTjIyMiLmQSPFGYlEImlhsrPDE2eWL4/M+Z54Ar77TiT9WLgQnn++kvj4AwCMO3hQHHTVVZE5mUQikUgihu41M2gQnHee2KaqKk8//TQAV111Fak2G8ydS4+YGK5OTGy9ykokEskpRlZWVi1RJhi3281TERpRleKMRCKRtDAOR2SPq49PPoE33hDrDz4oYkhu2rQJt9tNT7OZxIoKSEyEiRObfjKJRCKRRIy8PPj4Y7E+d65v+/Llyzl48CB2u527774bfv974WITHQ3jxokI8xKJRCJpMtnZ2WGJM8sjNKIqrbdEIpG0MDZbZI+ri7w8eOABEWz417/2hZTZuHEjAOl6Y3PuubIzL5FIJG2Mp58WXjODB8NZZ4ltlZWVLFmyBIDrr78e2z//CWvXgskkhBk5PVUikUgihiPMkdJwj2sI2RuXSCSSFmb6dDCb6z/GbIYZM07+HB4P3H67yACVlgaPP+7bt2PHDhRNY7TekEydevInkkgkEknE8fea+d3vfNsXLVpEYWEhnTp1InPCBKHgAGRmQkpKy1dUIpFITmFsYY6UhntcQ7R7cUZRlP6KojyqKMpGRVEKFEUpUxRlu6IoDyiKEtva9ZNIJJJg5s0LJc7kArMBO2DA7bZTXHzyKfoefRR++AFiY+H558WgKohYBZ988gnugwcZajJBt24wfPjJX4xEIpFIIs5TT4nYY0OG+LxmiouLeaNmnursm2/G9PvfC9ea0aOFGi+RSCSSyJCbC7NnM72ykgbGUzGbzcxoyoiqH+1enAFuAuYinmweBe4BdgOPAesVRYlpxbpJJBJJLdLSICdHBOgVIs1KYBiwDCgDNKCMd945uRR9K1aIz1cUeOQR6NnTty83Nxe32003j4deUVFw0UURuiqJRCKRRIJDh2DVKrHu7zXz5JNPUl5eTu/evcnYuBEOH4YOHeDZZ+XUVIlEIokUK1fCsGGwbBnz3O6wxJm5/oHBmsCpYMlzgG6apk3TNO05TdNe1DRtKvA44mnn5tatnkQikdRm8mTYuROmTs0FMgAn0PQUffv3w0MPiTgzV18Nl14auH/VqlWYVJXhmobBYIDf/CYi1yORSCSSyLBggfCaGToUzjxTbDtw4AAffvghAPcPH47hs8+ES+Rf/woJCeKgxYtFkUgkEsnJkZsLGRngdILbTRpCbLBCLZHGbDZjtVrJyckhLS0tIqdv9+KMpmlbNE0rCbHr7ZrlkJasj0QikYRLWhrExWVhNkcmRZ8eZ6a8HAYMgIcfDty/Z88eXn75ZZJdLkaYTDBwIPTo0ZRLkEgkEkkEOXQIPv1UrPsPxM6fPx+3283oPn04e8UKsfHGG33qjUQikUiaTlaWUMf9mAzsBDLRgw+A3WIhMzOTnTt3Mnny5Iidvt2LM/XQrWZ5tFVrIZFIJPUQyRR9f/yjEPxtNli40BdnBkSGjzvuuIOKigrGu91M9HjgkkuaWn2JRCKRRBDda+YXv4Dx48W2b7/9lrVr12IEHioshKoqGDEicM6TRCKRSJpOdnYtcQYgDVgIlADVQEl0NAsXLoyYx4zOKSnOKIpiBB4CPMAb9RyXqSjKFkVRthQUFLRY/SQSiUQnUin63nsP/v1vEWfmscdEnF9//vCHP7B//36So6K4z2BAUxSYMuVkq90klixZQnp6Ounp6UjbK5FIJIIDB0J7zTzxxBOoqsoVZjN9i4shMfGk48xI+yuRSCT1EG5K7Ailzg7mlBRngKeBccBDmqbtrusgTdOWaJqWrmlaeseOHVuudhKJRFJDJFL07dsnBBkQIWQuvjhw/9tvv83KlSsxV1fzjNnMgNhYuvXsCXb7yVa7SWRmZrJlyxa2bNmCtL0SiUQi0DM0jRgBY8eKbWvWrGHbtm0klJdzh9MpBJn58yE5+aTOIe2vRCKR1EO4KbH9jrv1VlEiwSknziiK8mdgDrBE07S/tHZ9JBKJpD6mT5+OuXZe7QDqS9HncsHs2SJu2eDB8OCDgft3797N/PnzsVRWck9VFSMdDrBYRO9fIpFIJG2C/ftre82oqsrf/vY3zC4X11dV0clshhkz4JxzWq+iEolEciozfbqeSrVudFvcDJxS4oyiKI8ADwL/AG5r3dpIJBJJHeTmCkXFbmfeCy9gbiDmTH0p+u6/H37+GeLjRZwZfy93Pc6M4fhxflVczLSYGBEA+MILfdk9JBKJRNLqZGWJoO4jRsDo0WJbTk4O+3JzSTt+nOnx8SJ90733tm5FJRKJ5FRm3rzwxJkIpc4OxtTwIe0DRVEeBh4GXgNmapqmtXKVJBKJpDYrV4oUfW53QIq+DEQibX+Zxmw2Yzab60zR9847sGKFEGSeeAJSUwP333vvvZR88w1DS0q4r1s3DCNHwpIl4btsSiQSiaTZ2b8fVq8W63p/3+PxsGjRIjoUFHBtdDS2pKTaCrxEIpFIIktaGuTkBPTVvZjNouTkiOOagVPCwiuK8hDwCLAcuFHTNLV1aySRSCQhyM0Vxt7pDDD2tVL0KQp2u73eFH27d8NfaiZuzpgBF1wQuP/17Gy+fuMNuhQW8vuOHYm/7DJ47TUpzEgkEkkb4+9/F14zI0f6vGaWLl2KY+9e+lZUcEVSEjz+OKSktG5FJRKJ5HRg8mTYuRMyM0V8RoNBLDMzxfagfrnTKfrlkaDde84oinI78CfgAPApcJ2iKP6HHNU07ZPWqJtEIpEEkJUVMj0f+FL0LTSbhfFfuLDOj6mshDvuEMtf/KK2l/v327ez/M47SSov59qEBIbcfTfcdVfkrkMikUgkEWHfPlizRmTamzdPbHM4HGQvXkzq8eP8JikJy7XXwsSJrVpPiUQiOa1ISxN98Xr64yDGXT/9VPTJX38dpk1r2mnbvTgD1Iwx0AN4NcT+tYAUZyQSSeuTnV2nOOPF7Ybly+ttDO69Fw4eFNlUg73cnT//zJMXXoilvJzhVisZixbB1VdH6AIkEolEEkkWLBBeM6NHC88ZgKezsrDm5tLTaOSiMWNqR3qXSCQSSavz9dcwa5YQZmJi4Kyzmv6Z7X5ak6ZpN2iaptRTzmvtOkokEgkADkeTj3vtNfjkEzCZ4G9/C8qm+t13LJwwgRNlZcSbzcx95x0MUpiRSCSSNom/18zdd4ttx44dY82iRcS4XEzv2hXDokUyzoxEIpG0MT77DGbOhNJSMePpoougZ8+mf+6p4DkjkUgk7QObDcrKwjsuBN99J0ZZAW68Ec4802/nZ5/x8U038cWJE1Sbzcx+5RUSL7qo6XWWSCQSSbPwt78Jr5kxY2D4cLHtmcxMrMXFnBEVxfjnnoMuXVq3khKJRCIJICcHHn1UOLsPHw5Wqxg0jQRSipdIJJKWYvr08NLzzZhRa7PTCXfeCVVVMGoU/O53fjtfe42fb72Vl/LzcUZF8csHHmB8RkZk6y6RSCSSiLFnD3z+ufCa0TM07V23jm9WrUIBrs3IgIsvbtU6SiQSiSSQF16Ahx8Wwsx554lIBJESZkCKMxKJRNJyzJsXnjij99SD3pqXJ6YxeePMqCo89hiVTzzBX/PyOBYTQ+qll3LHffc1T/0lEolEEhEWLIDqahFrZvhwwOPhlWnTQFUZmpLC8CVLWruKEolEIqlBVYW3zLPPivWrroLnn68RZj7/XJQIIKc1SSQSSUuRliZ8ITMyhOTuHxzYbBYlJ0cc58dLL4m4BCaTSLmakAC4XMKVZu1anjt6lB2xsRj792fhokUYZHwCiUQiabP4e83oGZq233Yb3xw9CgYDN2RnR3YoViKRSCQnjaqKcdP//lfY7czMQA/2xee8XrN2TpPPJXvwEolE0pJMngw7dwrLbrcLFxi7XbzeuVPs92P7dnjmGbF+660wdixQWAhTp8LatawsK+Mdq5WyTp34e1YWCQkJLX9NEolEIgmbrCzR2R87FoYNA1at4s133kEDhl58MX3PPbe1qyiRSCQSRCamG24QwozJBA88EBRaIMJIWV4ikUhamrQ0MTepnnTZICLA/+53wsFm3DiYPRvIzRXh4fPz+clg4JHoaBxmM7MzMxk7dmzL1F8ikUgkJ8Xu3bBunZ/XTF4eG+64g++rqihPSOAuOZ1JIpFI2gTFxSIBxw8/QFQU/OUvtcZQBQ6H6J9HAOk5I5FIJG0QVRXCzNGj0KmT8J4xbPgSfvMbyM+nokMHbrXZKDWbGTNmDLfffntrV1kikUgkDaB7zYwbB0MGqai330724cNUWCycO2sWKSkprV1FiUQiOe3Jy4NrrhHCjM0GixeHEGYqK+Hxxzn47rsc2bYN3n+/yeeV4oxEIpG0QRYvhg0bRBiaBQvA/t8cmDVLqPP9+zO3d28OlZbSsWNHnnnmGRlnRiKRSNo4U6fCP/8pZrPOmwc88QSffPUV+6urcaalcffvf9/aVZRIJJLTnt27hb0+dAg6dIDs7JqwAjqqCm+/DRdeCNnZmDSNw1FR0Ldvk88tpzVJJBJJG2PzZpGqD2DOHBi5ZgEsWwaaBmeeybKRI1n73HOYzWayZJwZiUQiafN8+y1s2iTWx4+HwUc/w/X667xVXEx+cjI333orNputdSspkUgkpzlffSX63g4HdOsG//iHWHrZsgUee0woOACdOvGvsjLWR0Xx+uDBTT6/FGckEomkjeB0irR8Tz4JHg9cc3U1md/dLaKQAUydyvZf/5pnb7gBgFmzZjF69OjWq7BEIpFI6kRVYfVqWLpUxHsvLhZeM3N/WwD3/oF/FxayNyYGW9++3HLLLa1dXYlEIjmtWbkS7r8fqqpgwAB45ZWaDKkg5jk99phIn6ppYLXCtGl4Zs/mhS5dOHriBHv27KFfv35NqoMUZyQSiaSVqayEF1+EN98UQYA9HkiyVfFs8c3w5VYRHv53v6P0mmv43a9/jdvtZvz48dx6662tXXWJRCKRBOHxCI/35cth/36xzWSCzp1h0ECVwQtvx1FYyJuVlZzo3JlHZs/GJFNnSyQSSauRnQ1//auw36NHw5IlEB2N6KQ/+6zopFdWCoX9wgvhwQcpjY5m5m9/y+HychRg27ZtUpyRSCSS9orLJYz/66+LEVWALl3gz3cc5ap/zcDw3UGIiRGtxUUXcffMmRw9epROnTrx9NNPyzgzEolE0oYoLRUzUN99FwoLxTarFSZNEiHDunUDnvw7/OMbsktKyE1OpndaGhkZGa1ab4lEIjmdefpp0R/XNLjoIvHagAo5/xLCTEGBOHDQIPjjH2H4cPbv38/N113H4cOHMcbFMXbsWKZMmdLkukhxRiKRSFoYjwdeeglee83Xge/c0c3tQz7nypJ/YHhwhWghBg0SkYGHDGHx4sV8+eWXmM1mFixYgN1ub92LkEgkkvZGbq5Il5SdTW5ZClnm+8hmOg5PNDabwvTpIlBvWlrjPvbQIVi0CFatEtNTQQSRzMiAm24Cux0xx2nyr2DjRo516MBrUVG4LRbuueceKbRLJBJJK6CqQmv517/E62uvhQcfBMPO7fDoo/D992JHx45w111w5ZVgMLB582bmzJlDaWkpycnJDB48mA4dOkSkTlKckUgkkhbC44FXXxVzWI8fB0WrppdygFuT3uHXxW9gWO0SB2oaJCaKtB5duvD111/z/PPPAzBnzhxGjhzZehchkUgk7ZGVK4Va4naz0j2RDHJwu824sQBQVia8Xl59FXJyQqRMDcH27WJK6pdfCvsO0LMnzJgBUy8uxrTxC1iwRUQD/ukn2LcPgGetVorMZkaMGMF5553XTBcskUgkkrrweOCOO0QIGUUR67OuPga/ewz+9z+h3ERHC8Xmzjtr5jjBe++9xyOPPILL5aJ37968/PLLPPzwwxGrlxRnJBKJpJlRVXjjDdHxP5ZfjdVRwGD3j9xgeYPJseswFqriwB494PzzRf6+3r0BKC0tZe7cubjdbs466ywyMzNb8UokEomkHZKbK4QZp5Nc+pBBDk5iax3mdouSkSEC+IbyoFFV+OQT4f34zTdim4LG6N7HyTxjHRPKP8Xw8m54/IgQ2v0xm9kdF8e/3W4MBgN/+MMfmuFiJRKJRFIfTifcfLMQ2M1mePB+D1OOPAuTsqGiQqg1558v3Gi6dPG+7+mnn2bJkiVomsaYMWN44YUXsFqtLF68OGJ1k+KMRCKRNBOqKpxflrxYTfHe48Q5jjDKlcs1cR8zOXEDZqUaunaF886Da64RoeED3q9y1113cezYMVJTU3nqqada50IkEomkPZOVJVQXIIu7cWOu93C3G556ChYu9G3zeITI/vrrcOhnN1EVxaRUHefCuE1Ms7xNn337YJ/fhxgM0L07DBwIo0bBmWfC/Pn8afVqqoHzzz2XIUOGRP5aJRKJRFInx4/DDTcIzT4mBp65ai1nL34Yjh4VBwwYAA88IKIC1+DxeLj33ntZuXIlAFdddRV//vOfm2VKqhRnJBKJJMKoKryX4+HV+Uco2VeIrfI4gznBlfbP+FWnL7F0ToZzM8TwbD2d80WLFrFx40YsFgtPPfUUNputBa9CIpFIThGys73iTDbTvVOZ6sLtFpmWFi6E0mKVl/+Sz8p3nVQUVhBTVcIwtYALYzdyReJqOpjKQANiY6FfP2HTx4wRYozVGvC5lx45wpcnTtC9e3f+7//+r7muViKRSCQh2L8fbrwRjhyBZFMxSzo8yBmv/0/s7NBBzG265hohrtdQWlpKZmYmO3bswGg0cueddzarF7sUZyQSiSRCqB6VVfO38ebSMo4fUzGpLrobHPzavppfp31P9Pnj4epXIYyYMZs3b/a6Sd55550MHz68uasvkUgkpyYOh2+VuLDeUlaq8dSgZXy5vysuj4EooJuxkEvjPmdS0kZiuibDGWNh+HA46ywhzNQxilpaWsqyZcvYtGkTAJdeeik9evRo8mVJJBKJJDwyMmDdOkiOr2Kw82uejbmXLoeOQ1SUEGTmzfPGldE5cOAAM2fO5ODBg8TExPD4448zOZyAZE1AijMSiUTSFFQV1q/n8wWb+OdnHdlf0RGABIOTyalbybhaI2bqb4V7ZJjuj8XFxdx99914PB7OPfdcbr755ua8AolEIjm1sdlExF/ARhllxDf4FiMeVud2B6Bn1FEuHZTLxItNmMZdDmc+WZOCqX7y8vJ44YUXWLFiBU6nE7fbjdVq5d57723a9UgkEokkLPLyROD2tR+W0tFzhPMqNvF4p2dJMJfDWWfDQw9Bt2613rdlyxbmzJlDSUkJSUlJvPDCCwwbNqzZ6yvFGYlEImksqgqbN8O777Llo3zeOjCBH12DALCYVC4YUcT0B3phv/jPYQsyOl9++SXTpk2jpKSEkSNHsmDBgua4AolEIjl9mD5dRGR3u5lONsu4pd6pTQoqKVHFdBnakWmz7Jx9wy8bZct3797NwoULWbt2Le6a6VQ9e/akS5cu9OnTh4SEhCZfkkQikUjq5quvYOkiFzvXFmFxnGCo6ygj2MafU1/D2r+byKE9dmzI977//vs8/PDDVFVV0atXL1566SW6+AUGbk6kOCORSCQNoaqwaxesXi1EmV272PGDhTeqruZ7wwV4DBaq4xM4/5IYblswgISkxgkyLpeLt956izfffJOff/6ZkpISjEYjzzzzDNagmAUSiUQiaSR33QX/+Ae43cxjAa9yQ/1xZxQDy97ryOTJHRt1mg0bNvDCCy+wZcsWtJpMTUOHDuWWW25h4sSJzRI8UiKRSCQCT6WHf//lez54q5y8PIhxldKZaoZF/chZxlX0MR7A+vD9Ij12Hfb4ueee48UXX0RVVUaPHs2LL77Yon1xKc5IJJL2TW6uyMSRnS3iCthsYpR03rzQeVDDZc8e+Owz2LgRdu3CXVLO1+UD2OQczPaKSRxwpVJsTMbUrRMXTk3mrruNJCc37hR5eXksXbqUFStWUFpaCkBMTAwzZ87ktttuI60p9ZdIJJLTmf37YcUK2LABvv0WkpNRDx3GQDVzeI4FzKMaAxpG71uMRhF+ICcHwg0roKoqK1as4KWXXuKHH34AwGAwMGHCBGbPns3IMGKMSSQSieQkUFXYuZPCD77gvXerWbO3GyWeWAASFRdnx27l1/130+vs7rDDA93HwrRpdXyUyn333ceHH34IwBVXXMHjjz/e4qK6FGckEkn7ZeVKEeHL7fZm4qCsTLivv/pq43rY+/fDp58KP8jvvoPCQoo8NjY4hrHFOYUd7jMoMnfCGZNERXwHDpfE0a27wkf/hZSUxlX7q6++YtmyZWzcuBGPxwNAp06duPrqq7n++uuxhxHLQCKRSCR+OJ1CUF+9Gr7+GvLzvbsOu5JZqVzO/zqeSaWzmqSKPK5Wc9hLP741WKlSFwLZVFc7UBQb//nPdPr3n1evQO7xeHj99ddZvnw5hw8fBsBisXDhhRcyZ84cevfu3dxXLJFIJO2HSA2m7t8Pn3wC69fz0+bjvH8onfUVw6nShDdkfFQV5w85xtXX24i/fBakpjb4kQ6Hg8zMTLZt24bBYGDOnDnMmjXrZK+0SSi62+XpTnp6urZly5bWroZEIgmX3FwYNkx0yP0304cs7iab6TiIwxYL039rqG378/Phf/+D9evhm2+goABVg9yq7qwvG8pW11B2KYMoj+5AhTWZqmg7qakKo0fDxRfDueeCqRHytsfj4e233+bNN98kNzcXAEVRGDJkCL/97W+55JJLTkuX9/T0dKTtlUgkjUafbrpqlfCO+fFHn0gPOIx2Vliu5D9VF7Gjsj9ui8jSZLPB2WfD1Klw/PhKpkzJwO12e2PDAJjNZsxmMzk5ObUyc+iZl3JycigqKqr5TBuXX345t912G8mNdaFsRaT9lUgkLUKowVQAs1mU+gZTjx/3ijHs2IF6rICvygfzQcl5fFfVl2qDGaclge69jFxxczK/nt2tUf3zQ4cOcfPNN3PgwAGio6N5/PHHueSSS5p2vQ2gKMpWTdPSQ+2TnjMSiaR9kpUVaOCBlUwigxzcmL3xBMrKaxxpXtHIuWsdkyvfg507Rfh2oFIzs9VxBhsrJ7FBHUeeqTsVtg5UxSRgNBno109kSf3Vr2DAgMZX89ixYyxdupQPP/yQ4uJiAKKiojj//POZOXMmgwcPbtp9kEgkklMdVRWC+g8/iCmnO3bA9u1QI47oeFK7sibhCnJKL2b90T64K8SUJXMsjBkBV1wBl10mhPXc3FwuuCADZ5DAD3jFmoyMDHbu3ElaWlqtzEsAHTt2ZMqUKdx0000yPphEIpGEIjdXCDMhbK1XrMnIEH3ztDSfF+S6dcLOHzwImkaFGsXHxeP4qPxc9hn64oxJwp3SgfQL7MzMNJAeUuqon6+//po5c+ZQVFREYmIiixYtYvjw4U2/5iYgxRmJRNJ2UFXf0r94PLW3LV8eIM7k0ocMcnASW+tjhe1XyPhrOjt7P4ZNqWC983y+UM5mq+cXlER3oio5AU0xYrPB6BFw/vlCxD/ZpBpff/01S5cu5csvv/SOyCYnJ3PllVdy0003yWwdEolE4o+/ALN3L/z8Mxw6BEeOQEEBVFWJ4/TpSqmpYLXCkCFs73Yprx+7kDXbE3H4ZjPRty9cconwkklKCjxdVlZWgLdMKNxuNw899BBJSUm1Mi9df/31XHPNNZgaM0QrkUgkpxshBlNrUVkJY8ZAXJwoNVP+AY5UJ/NW9VQ+cp7HiehUqhITiYs38qtfQWZmWLOWQvLhhx/y4IMPUlVVRc+ePVm2bBndQqTUbmlkiyKRSJoHj0d4pxw4IFTvI0dEp7qgQLgoFhdDSYnokGuar4SLwxHwMou7cWOu9y2VWhSTCl4jLsFIpT0RTREmsFs3GDdOTFeaMKHR2a+9eDwe/vWvf/HGG2+we/du7/ZBgwYxffp0Lr/88tNy6pJEIpEAwt4fO+YTYPbtCxRgKivrfm9MDHTsKDrwaWkcOOOXvL57NJ+uNpK3yXdYx44wcSJcdx3061f3x2VnZ4clzrz11lv0798fkJmXJBKJJCw8HmHff/7ZmylPp1b4AcqYrmYzr3ABaWohWK2onbuyKfkS/nHsEtYfTcNjNIMFevYUiZauvRYs9STca4hFixbx/PPPo6oqI0eOZOnSpW3G+1GKMxKJpPFUVgrB5eBB0bHOyxMd7mPH4MQJ4WpeVubzhGksiiKKwSCW/tv89/l9fjbT60+NCqgY+ak8lcG9YNggMV3pssuEsW8Kx48f5+WXX+b999+nsLAQEIEhzznnHG655RaGDRvWtBNIJBJJWyRUgMfrroPf/lZ0zvfsEZ1zXaAvKICKiro/LypKRFjv3Fmo5r17C/eXgQNRk1PY+a2BdetgzRr4/i2fnm844kc4AAAgAElEQVS1CmH9mmuEXQ9HN3EECfx1oaoqZ555psy8JJFIJDqlpUJg37/f9xyg2/gTJ8R+3UD7ie4hww8QzzJu4VVu4I2btlDYdShvfpzEwW/EewwGGJMON94I553XtGqrqsr999/PBx98AMBll13G/Pnz25TYLsUZieR0RlWFAS0pEWJKSYnoYJeVQXm5WBYWCmNbUCDWi4pqea3USWysmBeUlCSGM/063Wq3HuQZu1FcEU15lQmH04DDAQ6ngYoKcYqKCjH11OkU65WVvtL9xHskHdyBRzNSSTRlhJfhSNNEduxICOQ7d+5k6dKlfP7557hcLgCSkpK4/PLLuemmm9pVYEiJRCKphcsVKLwfPy6WxcUiI9J//gPV1b5OeFkZLF4sSmwsdO9e+zOjokR7oAswvXp5BRhSU73KiscjbPX69bBtsYj363T6ZjV17Spiwl9+uSjR0Y27NJvNRllZWVjHLVu2rHEfLpFIJO0Zfy/HH38MnGZaWBg6fow/igJ2u+j/5+aC211/+AEsuLFwxYJz6dNHeMVYrfDLX4qpS5FIfud0OsnMzGTr1q0YDAZmzZrFnDlzmv7BkUbTNFlEp0IzGo0BZeTIkZqmadr+/ftr7TMajdrZZ5+taZqmbdiwIeT+SZMmaZqmae+//37I/VOmTNE0TdOWLFkScv/MmTM1TdO0+fPnh9x/zz33aJqmaffcc0/I/fPnz9c0TdNmzpwZcv+SJUs0TdO0KVOmhNz//vvva5qmaZMmTQq5f8OGDZqmadrZZ58dcv/+/fs1TdO0kSNHhtyvM3DgwFr7zGazd3/v3r1r7Y+Ojvbu79KlS639sbGx3v3Jycm19sfHx3v3x8fH19qfnJzs3R8bG1trf5cuXbz7o6Oja+3v3bu3d7/ZbK61f+DAgd79oe5Nfb89k8GgXTR2rKbt2qVtffFFbZDBoI1UFG28omjnK4o2WVG0h/v00bTf/U7b+stfapmKot0J2j2g/RG0x0B7PzFR04YN03alpmqLwVveAO1b0Nw1k4w8Na/f8DtmMWgbOnTQtDFjtI969dJuUxRtqqJokxRFG6so2gCDQXtm3jxNq6jQZs6cqRkMJs1g6KIpyihNUS7VFOUWbdCg7dovfqFpZvM6DZbVKt26HdIGDtS02NjPQu7v2fO4NjytWLuJxVomL2qZvKiZqdIC50fVVYqb9NuzWCzaiy++qF155ZWayWTSAG9RFEWzWq2n7G/PaIy83ZO2V9re0/n336K/PYNBe/lvf9O0bdu0u845Rxtd02ZcWmPDb1YUbef48Zr2y19qbyYkaM8E2f3FoOX37KlpAwdqn0RFaa4GjG0VaA+AdqWiaGcpitbfYNC0gwc1rbo65G/PZLJqK1Zo2h//qGlW65MaPB9g9xXlFW3MGE2bMUPT7PYpmsFgb9Jvz992N1RO1d+etL+190v7K5D29/T47dkMBq2PwaBNMBo17cEHNe3667Uno6O1p4Ns/1JF0bSBAzUtIUFbrijaQtD+DNpc0K5XFO0qk0nTFi/WtI8/1vonJmoWg8F7jkU17cEsFobZV9+qKcr5msHg+4015bdnMBi0Tp06aV27dtUSEhK8/fXW/O0BW7Q6NAnpOSORtDCKphFTXQ3ffw+FhQzQNKyaRgxgBWKAgQcOwI03YisoYF51tXd7DBAFpO7cCVddRdeKCu4KMXWo29Gj8PHHJDkcjAoRx8Xq8YgRUaAKcAFdgasAAz6XOiMwAEgD7gM+MhgoAmZefz3jsrJYc++9LF2wAABNswCd0bTOvLf1PL66OZrPPpuCqo6u+SQfhYVxJCRAbKyL4uLjNbUQNVGUSgYMGEf//l1ZufJrnM4v/WpZBVQya9YYRo4cylu35nDfvh3YqEIDXuHGBqY2uYBs4PZ6jqmNv9FUVZWnn36a/Px8qqurURTFWwDvUiKRSJobi6YRB6JoGl03bIBHHyV9wwZQVex++2OBcVlZ8NJLXLp3L4NCtA1xBw+CzYbd7aYUoUyU+xVn377Qpw+2gwd9AXrroTMw399d3C/YoqZZ0bR+QN+aZS/uvlvsc7vTgCKgAEXZA+zFbP6JDRuux2CArl2/oLy8vNH3y+Vy8cEHH4TM0FQXbcndXSKRSAD6aBpzVZVpgA1wAMoDD8Ajj9Q6NkrTSAF47TXYt48rjxxBq64mBbw+LAqIdNZA1+pqHEAlcAw4pigUGgzMnDcP+vbl0alT+en4cV/YASA6Kkq4uACFRiPVioKmmYBePEYvqunOS8xsMPyAIA2D4fOTuCuCYLEDoKioCKvVisViwWAwtOm+uqKFaJxPR9LT07UtW7a0djUk9RFqbvv06TBvnki91lRU1TeHprw8cD6NPr+mslIsq6rEekWFb72qSggelZViWVUlXL9//FHMxayuFu7aupvfyUayUhThvx0T4yuxsWKb1SrWY2LE/bFaRdTz2FixtNkgPl6sx8eL1yKnqPAPr6/DarXCzp3kxaTx3XfC0/Gnn0S837w8cal1kZAAXbpAjx7Qp4/wXh88WGxrMrm58NRT5L76BcMcX4Z0lwy6hAZ/Lqqq8tVXX/Hhhx+yYcMGjhw54t1nNBrp378/55xzDtdddx0pKSkRuIjTl/T0dKTtbQc0t/2NNO2lvqoq2gyHA3btghdfFFOFKiqETR83TgTAVRTfdKLSUjF9qKys4QwYwehtg90uSny8MNCJiWLZoYMoHTtCp06irQolTtjt4vwNYbeL6bKI0ARr18LmzfDdd2J6kn8XVFFEmzB4sLjkc88N0HJOGlVV2bx5M2+99Rbr1q3zijqKopCQkMDWrVvRNC0gOLDZbMZsNpOTk8PkyZObXok2irS/kmahvdhfnbZUX4/HN39ff5bQnzGqqoTNX7cO/vQncWx1te+9RqMoU6eK9uPwYTE1qb5QBGazsPepqaKTrk8zHTBAGOQwxWlVhW+/FVNRd+zwPfro48dJjgOsP9SdGhmoXgyGwMsKB6fTyapVq/j000/ZunUrJTXtDoDJZGLAgAEcPnyYvn37snz58sZ9eDOgKMpWTdNCJv+W4kwN6cOHa1v++1/xQv8h1rU0mXxF39aW/tjhEIn6+qc51ktz8ckncP31wij5n8doFN/D7bdD//4+ISU4QIlu1PSiGzyXS8+zHPn6OxzCMIb6jxkMPsMXG+sr/gJKfLzo2Oqd5qQk0Wm2208+nVBdzJ4Ny5ahuj2UE4sDGw5slBFHIUkcoTOHlW5s63ARO5MvCPkRRiMkJ4s4AD17ip/RoEGio20PLxxMk1m5EjIyfF+pIBdFyULTslEUBzabjenTpzNv3jzS/H7rLpeLTz/9lI8//phNmzYFGPaoqCiGDRvGxIkTueyyy0gKzskqOWlOy4eD9tZehP5jiU6d2SxG29rSA2wk6+vxiO9IF0QcDl88Ll3Ir6vdCW57XK7AotdP0+pvLxRFGFabrfY+k0lsj4vztReJicIY+4ssqali2djALHVhMNSbXU8DjpHCHvrzys3rdEfRWlXv0UOMC+hiTCRN64EDB3j99df55JNPAgT2lJQULrroIqZNm0bv3r3Jzc3lqaeeYvny5Tgcoo2YMWMGc+fODWgjTkWk/W0H9re91fd0bi90VFXE5/LPVqoHyy0oELEbq6p84opePJ6Gs5a6XCILUkPH6YFbQBjb5GTRDnTrJjrp/fqJkdLu3U/qmSIvT8QD+/prMRFg//7asd4VRZyyb19h5//vXpXyiobP5afp18v+/fv5z3/+wxdffMGuXbsCBHabzcaoUaO44IILmDRpEvaWehAJEynOhEF6TIy2pVevxr9RUUTn7ODBuh/CBw4UfwqDQTzB6ktF8amc/tvBJzXqnxlqGWpbOO87elTImv6f4V/ffv3EP8M/xbEuxOjrod7bXIRjiBRFRItqSl41EIbYZPIZZbNZfKbZLIIYWiyiREWJEh3tex0T4/NoKSmBBx6o3+07XDeOJuB0iq87P1+I58ePiw5yYaEvk3VJCQz/eD4VqgUnVrR6VG2PwcLWoTfSqZN4VujTR2higwaJZVNvfySocaRh+XIoK1uJpmWgKG40rfao6CuvvOIVZXbs2EGFX8tit9sZNWoUF198MRdffDHRkXqokQSQPmAAWxYuFJ0St1t0UPROkr7u34FRlMD/aWGh6FytWycehmNiRAS56dN9NsFsFv9N/f/sX1p6ykJ767g2wqsuLFumqj4PQ90L0eXydUr1tia4zQm13/91dbVYHj4Md91Vv+01m2HaNLGsqgrtAekvoNSFHpk2NbXh666P6mpxn+vLbmc2w/33C2OrB9Pt3DkiYr2/805JiejS+MeF93cmLS8Xxw75+/VUu1WqiKKKKFxYyKMzaziPnfwCFxbMuEkjF1efM7zNZFqa+DlNmABnnhmZwOz+OJ1O/vnPf/LBBx/w/fffe13arVYrZ555JlOmTGHChAlyqlINTRZnpHDQvLS3+ka6vWhuTqa+Ho9QJvyFl/x8IbocP+7rXJ9s26Eoon/j/3zo7xTw4491C/k6BoMwsvfdJwaC09JOup2orBSe8t99B7t3i7jAubm1xXYQzVFamhiUTU+HsWPF2LJOzThwvbfGbBazoxYurL1PVVU2bNjAqlWr2LhxIwcPHgzY361bN8aNG8ekSZMYP358m7bzUpwJg/TYWG3LgAHiRbDwUJcIoncyIykcRKqzVxeRrq+e0tg/5XGkOXQotBUIrsfAgXD++eIhzH/aj9Uqiv+6v7dKbKxve6T+yE21QCFQVWHzdfFdT55x4oRPbCktFUUf3K0JK9MgZ/+wBAXxm4ilvMZvRpREikglv6YcJb66sMWfZ0+G3Nxchg0bVm9sAUVR6N27N5aa33qnTp0YP348v/rVr2QHvoVIj4khbGE82D6erLeBP8GieX22v771UPuC97tcolfTUKdqyBBhr3S7GpxCPtRSX/cX+w0Gn4en/z7/Y/ROoL7fv1NoMMCKFWIeSn3CgaIIpXbo0EBPRP+lPioYzshgU8jPr3+OpU5CQnjtrC4G+ovyeomJ8Yn0/iW47fEv/u2OPvX0zjsj3l744/GIzvWuXb6kGwcPituka1GN/Ur65q8jtfgHDIjfxQG68ykXUY0BzS/GmIFqjGYj8+eLyzQ1Q6RDVVX53//+x7vvvsvGjRupqhHmjEYjQ4cO5YorruDyyy+XAnsI0nv0YMuf/uTz3NU9sPSpz3Z73V/aRx/BlCm1hQP9IfKhh+AXv/B5lOmirP8UcLfbN1UDAgfF/IvJ5PsP1rX0HzTzHzyLjha2LJwH8ZgYYfO6dvUNCng8PgG4vm3BgwrBAwt12cPgz9S3FRbC++/XP7/DbIZZs0QmTP2+6QMX+r3T72lUVOC6fu+gdj00LfC1/1IXwkN5fCxfDl98UX97YTDAiBFw0UWhP8//vgaL8/o90jTfYI1/u6W3d8EzHPR1f6HDbIYPPoBNmxqub1qaKEVFQrWu73idqCjflNHk5EBRvXt38d/Sf6t6aiL9+6uPk5hSGg6VlfDNN4HtxOHD4nnD/3L1bliPHqKccYb4OseNazijUui/YC6QhYgH6QBsTJs2nT/9SXi3OxwOVqxYwerVq/n6668pLS31vtNsNjNw4EDOOeccLrvsMnr27Bn29bY2UpwJg5OOOTNrFrz0Uv2dKpMJrroK7rmntoFW1UBjrhthXejQHw6DX/tvD2ebvv7MM0KJr28Kj8kE114LTzxR28j5Gzq9w9/cNJMhalbCqLMGlMel8vP6Ixw92rDY4nSG/trq0/OMRt8zgN7X0kMMdOgg2ovkZBh8VX/sznxsODBQ2ybk0ocs7iabGTgUe5sfHAOYPXs2y5YtC3BzDEWPHj247bbbuOyyyxgyZEgL1U6ikx4fz5azzqotFPjbG/99egetsFB0rOrruOqdQIslsCPp3wlsSSItHLQEP/4Y3n0yGIT7XDgEtyv6dx4sRAWLT/Xt15cffRTeFNWoKPj732sLJXa770HVbo+saF8XEWrjHA4xurlrF+zZI9zM8/LEYG7wLQluN/RnX//nNv9nXV1v0kObJVTkMfzp64lxlXKMjkzhHSqp2w2mOQbLd+/eTXZ2Np999hmFfgM4PXr04OKLL+a6664jta38j9ooYYnj/h7E+gN6ebn4kbWXgUlFESNbzWF/m6vusr2on0jc95Otb2ysL9xAcrJv6mjXrmLaUK9egS4jkaSBKaUBx4XoH+ntxLffwt69PhHm+PG6x7kSE8Wl6eFoRowQ5WTE9kBnsJVABuCuKQKTyYTBYGD06NGUlpYG9OPj4+MZOXIkEydOZPLkyVgj7X7ZQkhxJgxOWpxpb8JBe6svNNkQNTf6c2JRkWhHCwuh0yUjqSQaJ1YqiAmI4VJGnPd1NUbWDcwM+1wWi3iG0OM5JiT42gc9JE1Kik+gD9vjvR5Pn5VMIoMc3JgDoqy3Fa9aVVUpLS2lpKSEoqIiHA4HxcXFTJkyJWCaUl3Y7faA+DKSluWk3eoj4Z2mj8jpo7oeT21B23/9ZPfpy6Sk8OyvzQbbtwfG9fIfNdRHDv1HEf1HN/1HZv2Ff/8R3OBRz7peP/lkw/UF0YP7978DPUr8l/pTfXR087hP6LTx9iIkjazzsWNihPP772sHZa/rY/yDsqelCU/3vn0bdo6ol5pe9uyKLJZpN9WbhaMJjj9enE4nGzduZNOmTaxbt46ffvrJu89ut3Peeedx7bXXMnz48JM/yWlGekoKWyZP9sVMCg4+qrtVBT8IhyMcKIqIbTFqlE/cqWuauC7g+E8n1Je6TfMvdXmg+HuA+NszCP9B3GiE0aMDvcL19bq2BXslhpqS4r/uP+Cge3H4r5tMcPfd4rtoCItFuKXpWTj9PXb810PdH/3e1Hdt/t6l/vuDwzQYDPDKKw3XV+eRR+q/b3oxm30ejPo59XX/9iyU15L/b0Tf5n8/arKNNoiiwKpVwoD27Bm52F0nQx3Pcb5B1Ok4iMNGOROviCM9XTzO6SJMUVHdIoweN1IXYYYMEVOUGnJAbiy5ufDII7lkZw8DGvZu79u3LxMmTGDSpEmMHj36lPBql+JMGJy0ONPeOoLtrb7QbIKS/3OZPte+sFAsi4qEx0pJic9zRS96Eic9eVOo0AYTfnwZk9pwFg2zoZqNI2Zz7JgY1PF4RDs7ciRcdpkwiikpvliOzSYQ1+Hum0sfhrEzIhmQgnG5XOTn51NcXExpaalXYCkvL6e0tBSHw0F5eTlOp5Py8nIqKioCSlVVFZWVlbjqmLv1ww8/hFUPg8FAdVv5rZ+GnLQ4I4XmlqG93ef2Vl8IqLOKggsLLixUEcUxUsgnlSN05pCxFznDH6OuDNIGgxDmu3QRnesWCcqem4v9jC6UuWMaPLQxt1xVVb7//ns2btzI9u3b2b17N4cPH0ZVVfJrhILu3bszatQorr76aiZNmoSpOUW/U5QG7a+exbK4WIg3UVGi0e/Tp/38z3RB22JpX/ZXthfNTzuor9PpixVZWAjmv/4Z0ycrqKo248SKEysbGccz3IUHIyqBdjB4hrfeTuhxI/v1E+3EoEHN+IxR65qcTJ06lRUrVqDWI5gajUamT5/OK40R/doJ9YkzsiWrQZ/W2GgxzmYLeyTUfxBUH6Sta8op+NoT/zrqBO8LXg8+Vic1ZgBmZwlGqjGgBiz1YkDFEBuLcjL3owH0wIMulzA4bnftQZrg9aQx9xO75kPUavBgqvHgMHvXPZioUmI42PVCdl8fGMsxOOxBcIzRSGiTemZrfWA4Jga6eGLok/slsVpZjel0EkcZNhzeZaypik8nZfGPzwKTRblcsHWrEDxycmD8+KbXsUHS0sTJggLPZXE3bsz1vtXtFgF4RUxXD/n5+Rw5coS8vDwKCgo4evQoJ06coLCwkOLiYkpKSigrK/OmM40EFouF6OhooqKiiImJISYmhr179+IJY3qDLdJDApKWob7UkCdzXEvQiPaizTB9engeSjNmtFyd6qMZ66uq4udUVOQT7ktLfWJ9cMIm3QkhOHFTcNKmntHv0qHsB28rHEwpdnYwjD3VA/BsFe1yly4i2OKwYaJzPXiwCLvW4kHZ09JwhJnosL6/YmFhIevXr2fLli18++237Nu3r1a8MEVR6Ny5M+eddx6jRo0iIyODhOaaOiARGAw+d11/2pP91T0+2pv9bW/1Bdle1IHDERgr8vjxwDZED74ePADsH45JJ9p9J6PULhgRhrcUOzlk4Kmjr67ngZk7Fy64QLQTLe3443K5WL9+PWvXrmXbtm389NNPfPfdd/UKMwDV1dW89957p6Q4Ux/Sc6aGmJh0rVevLQFeesHrugeiovjEkY671pBbYOc7BuPCggUXZ7CLEWzDTpm3s3U4cSh7Op0V0Tq7XEJFLS31CUt2u/Ccr6uDFhzELxQqBvITzmBv6llhJ5gyGIQR2bdPeLtWV4vtSUlCodW9D08mxEO0u4SRuTmYqLsHWK2Y2Nong0pzfK199d2nqCifF6k+rz44XqMeI0+P1RIfL96rx21JSAghYoUReC43ejDDlJ0460kr1+JB7f1THTkc2NUiyohDBOkqA0qA0qBSgtFYxPDhH+F0OgnXpiiKgtVqxWq1Eh0d7RVVYmJisFqtxMbGYrPZvCUuLo64uDjsdjt2u534+HgSExOx2+0hXRzDiTljNpvJzMxkYVN87SVN4rTynGmGQOHNzimQfUNDCPsVxFBBDM6oRPYs/C+7HD34979h40bRflksQujo31/Y9FBiS6jAiE0N9xDtLmHUTzkYNQ8KWo3fjCjHSGE502v6Er7Od1uZVgqN/yt6PB62bdvGV199xY4dO9izZw/Hjh2r1XbExsbSt29fBg0axOjRoxk/frwUYyKMtL9BtCX7297qC41qL3JJa/1EXw3UN5c+ZBnvIzt6Jg6nAZtNjGFOnSqeF/Q4kUVFvtAGure9f7a74K+wMW2H0eh7PtFjyncv/oaRnz9NrFbGK+oMPmZSQPsQTEv/TDweD5s3b2bNmjVs3bqVPXv21PJyP9292+W0pjDQxZnGIBKFaKCpAdkJFKoxonIhn9CDgwHCgS5uBE/pDJX0qL5lYaGYbx5K7DAYxChacnLt90U7Cxnx1QsoarWfr4wRVeRUQMWAS4liU5/fUBFC6Kj/XoSXNKWuDHH61NLgabdmM3TM/4ahaxdiUSuJ0iow4cGMG6NBw2iEvJv+iGvE2IDg/FFRImP4o4/6vJN0WqRj20AKxNnn72LZf3u2SrtbWVnJkSNHyM/PJz8/n4KCAgoKCigsLKSwsJCSkhJKSkr47LORCGGmIVVNY+DAdYDoUMfFxREfH09CQgJJSUl06NCBTp060bFjR7p06ULnzp1JTU1tVjf0cLI1Wa1Wdu7cSVpbeKg8TUlNTefGG7fUmT0yePq5HrLAsGQR//kymY+4BCdWYinnCt7jNl6kL7nCspkU1Gm/RVmQ5bUNJ/uT888AHZx0RB/d0j0j9Nf++1wusBQcZsDj0zG7nBhQUdCEp6Jf0SzRHF74L7RuPWqFJfC/R7rdVBQRb+TVV0Vij/JyYWt/8xvRye3XLwIekGGkc/VcNBmHQ3RM9RHAH3+EN96A1auFyBEd7cvqEB0d6FWiJ9+org6dlEPfrov89ZWEwp84Y88H3of9KqK87ZumGPi+60UcoMdJJfrSw2XoneVQwXP1oofb8S962B09SWBMTM0gwIZVxN10DUZ3JQaPuMfNOa00kjT8DFmK0ZjLsGEb6dp1BQcOHKjVUTeZTHTr1o2BAwcyfPhwJkyYQFpa2ikRW6At06oxv5rASWXwbiahudmyiTexvq2W5TyM9mIlkyOaIdy/fdY9TvRlcCil4Pbbsv0rur/2uGhnVMXrlb+JsTzPbNxY0AjMRhtuMkgdkykwWZ/dLoo+AGy31x4ATkwUA8B1xqSvGUy1P/8EZTQ8b7U5dVJVVdm+fTtr1qxh8+bN7N69u1bMx5SUFIYMGcKECRM4//zzGThwIGVhCLynalxIKc6EQXp6urZp05Za7sb6nzc4NtmxY3DddfXH6rJSzuaos+j95l8wXzYpYsmNmty+hGE4mTzZa+z8p2H53wt9qtC+fWHcC6vIxjpwYBPuQZBXBzabcDWcO7fOhqnVB3zrqbN9RFrEBp70oLiHDx/m6NGjHD16lOPHj1NQUEBRUZFXcNFjuYQTKBfgxx8noKomwArEA3E1S3tAsVpt7NolXM4tLe5XXzcrV64kIyMDt9sd4EFjNpsxm83k5OQwubWHnU9zYmLSCVcY10ebbLbGC+PeY5Ta8Rj9xY+64uMGC+GN9VzU6z7IdoAzDn+CoqkBHoz+wkGhrUd4N4/whPH4+NDeoPXFrwwWy41FBSR/u5bEAzvwVEOF0cbBDiPITR5DmSGhVjagcAX75kp0Eu0uoduJb0gp3YNRdaMYFEo79OF4j5GUWxLZtKn+MA1RUbB4sWiz9GyoeubTZiOovZhtXMwyzw24tboVxZYeEVVVlcrKSoqLiykvL6esrIzvv3dy881JVFW5gUrAhQjyuAV4F/gWcKMoBuLj7SQlJZGamkrfvn0ZMmQIY8eOZcyYMTLVdSvQr186ixdvCRASddGwvvjde/63nwUXr+L16t/gwIYNB9fwDrfxIt05JB5wo2wcXLaK8g49vX3HqiphT/W+tX+/Uve4Dk7AFrz84Qd4+eXadlm3X3PmiAze+jb/hH/2Hevo+uSdmDxVmKorfdP5jQaMZgMVzy1DuejCWtm8dTE8mLq60/rAYlaWiCHoH7OwvNznlecfv9C/6AJCbN4eBnz3LibVjYUqjFRjwiMGeg0auyfcSFn3wV6brQ9eHDwoEtcFh0DQ70NmJgwfLo4FYaf17yA4S3aoJIehXvvHpbcUHyV1xyo67NmIwe3CbYrhSO8JHBx4IcfUjnz8ccOJFseMEb8//bODRfjgOFUHMm4AACAASURBVPhNIbi9KCSJ97gSNcQ0U/86Tpwokm/oworuUZ+YKGYN6ImcbLbmS/rXGqGJ9Jhgq1evZtOmTezatatWqIKkpCQGDx7M2LFjufDCC2uluT7dvdulOBMGjQ0IHNaggeIh8zoHC7Mj64YbkQGLRgodzV6fZqCt1ksntEHVgCqgHNG5LQfKee65DV5vltLSUsrKynA4HAFBcxtKGR14bkOAh0t8fDxJSUkkJSWRnJxMSkoKKSkpvPBCH95+OxmPpy53yVwUJQuTKRuPx4HNZmP69OnMmzevzXij5Obm8tRTT7F8+XIcDlHHGTNmMHfu3DZTx9OZrl3TufXWLQEJifw7ffprvQNYWCg8ROrrZJhxcYPyKgf7TaQgro+3E9/UOFO6qFNeLkTpYMFGf4AYPVqID3qHXvcChJqOa8kxOn/7Kck/bcLgqem49hzLwb4XUB6T7PUQqatDqq+Xl8O2bfVPF21MNtu6CEdA0ZNpWCyiPnqyqbowm+Guu0TW0ejowKQc+rp/Uo5Q6/r3oa/XlRglWFRp622DTqRnjpSWlnLkyBGviH/ixAmcTqe3+Adcr6yspLKykqqqKm9xuVy4XK6QU1cdjiQOHz4DTVMAA3AA+BSoRrRrAqPRiMVi4d1335XCeBsgHHHcX7Ctrha/tf37qfkd+DwKdHF8Ip/STclrlNAcrkjrcgnb25gM3sGfHfwgXm0wc8zej0MdhoacGu//uf4Ct9st0tY3t/1tbH0bc4/0DPTNkYm7ru+0uTKE+yd3CuWBbzL5xCt93T+JmH8isQ8/hE2bGm7DWruNgOabYaiqKoWFhezbt4/9+/dz+PBh8vLyyM/PZ/fu3bW8Wex2O4MGDWLMmDFccMEFDBgwoN7PP92926U4EwaNFWdac7ptW5vq29bq43++1qhXZWUlhYWFlJWVebMQFRUVUVxcTFFRkTcr0QsvDMHjqcInwujLwNbAYPDQv//6Bs9rsViw2WwB8VgSExNJTk4mOTmZTp060alTJ7p06UJycnJY7uL1ex+tBDIAd00RSK8USWNorFt9U4VxfaRWH6HUg5LrXpF6/Ck9u6s+HcpiEZ3yNuGRV0O4IsNNN8H8+aGz1OrL4PXgbRaL0PCtVlHi4oR7dlyc2B4d7RsZbOviR1tts4IJb0TUA5TyxRffc+TIEQoKCjh27BgnTpzgxIkTAdnw/KcS6RmPUk/iqcxkMmGxWLBYLERFRREVFUV0dDRudwK5uX346adoPJ6HEQMNoTmVO93tiYSEdMaP3xKQOMHlCsw+7E84D/4mPEwY7iCqY0KASKo/JOsPz/4PyrrnIhAgTkPg+urVQhBpSHjo10+I5JrmE7T9hf5g78hQ3iH6gIC/Z4g/4YoMXbuKNsN/6mNMjG/6o/+0R33ai7+djYryeRvp02R1L6RQtvzNN0UcrYZEo/79RZZz8And/nElg2NOhvK89D9GF/Aa8s685RbhNdQQsbGwZk1owV1ft1h8Hl6R9ExpL20E1Nfe5gJZQDbgwGy2MXOmb/DU6XR6hZeDBw96Qx0UFBRw4sQJioqKQmZD1duOtLQ0Bg4cyOjRo5k4cSKDBg1q9DTU09m7XYozYdBYcaY1M9y1tex6ba0+/ucLp16KolJc7PCKJsXFxTgcDsrKyigpKcHpdHq9VPS0zv6jjMEjjOEGrsrP70txcSpilNGfKMQ0olgUJZq+fcu44IJjAV4uiYmJJCUlecWXTp06YW+mXKmh3XZzgWEIQSk0svMtCYfGijOt3WlqS8JDa9+L+s7XFuul09baLFVVcblcAR4sVVVVjB0bVzOqqAdiDw7IXgKUhy3gm0wmb2B1PZh6bGwsMTExREdHY7PZvK/j4uKw2WxYrVbi4+OJi4sjNjYWu93e4NTV091dvT3RkP3Vp7frU28efFDEMGkt+9eatkUX9vWSlhZeMippfwNpa/a3rnO39TrqhB4w+giYgphi6pvzpSgKiqLQp0+fsGI+WiwWEhMT6dChAykpKXTq1InOnTszcuRIRo0aFZGYYKerd7sUZ8Jg1KhR2ldffYXBYAjrx3Y6e86oqurtTLpcLrp3N+NwqPg8PvwDZynepc2mkZsr5HL9Hte11Nf9t7tcLq9ook/r0YWTiooKysvLKS8v94omWVlDcLurEcapym9ZFfDaYHCG1bENF6PRGDCaGB0djdVq9XaK4+PjsdvtuN0p/OlPv8DlikMXY8TSZzCtVvjPf3LJyckiOzvba7haeupQ8Cw4o3E2Hs8yNE12viVNo7HiTGt3mlrb/vrT2veivvO1xXrphPsdxsWpHDhQGjClVBfxy8vLKS0t9Qop+rSfqqoq3G63t33Ui8fj8Y4O6qW6utq7PRR1C/ggxJmdwB7AjdFopEePHowePZpevXp5p6empqbSuXNnunTpQlJSUosE2LXb7ad1oMf2RHsTx9uSbWlLdQk+X1usl05r/4bCoeE6+rxSFCWwX961a1eOHz/O8ePHvR4ohYWFFBcXB4Qm0NsA/ZlKL6G26UXTNO9+TdO8x5eUJLF378CaqYYlwBtQT4ZbRVFIS0sjJSWFxMREOnbsSGpqKl26dKFLly707NmTXr16tVibcToixZkwiImJ0Xr16gWIH60uDOgqY/D6/v39OXasK2BEdJwUv6VYVxSNrl2PMmjQXiorK9m3bx9HjhzB4/FgMpno3r07/fr1Iy4uzns+/z+B/t0Ef0dbtqSRm2sE1gCbEQH4ooF04AIgGUVR6d37CCNG7A14v/5n9ng83j+4vyGorq6muroap9NJXl4eJ06cQFVVDAaDN/NOsNpafwdSRyUhIZ/U1L11HuFyuSgsLKS0tNR7TrtdBA88mSCzjalX9+77sVgsREdHo6qqd26lx+PBbDYzaNAgzjrrLHr06BGQ2llP66xPJUpISGhUUMOGYjPfd99K/vrXtufyJzvfkkghHw5Onta+F/Wd72TqlZubS1ZW/UK0/8CAx+PB4/Hgcrlwu9211nW7qXs+6gHR33gjia1bbaiqC6hAiPUViLZUL04SE/eTmPhdne1SYU3AhpOZGhSM0WjEZDJ5i9lsxuOJY9Om81HVRHyB2OOBHcBcROe77bQLOgaDIWRcmlDHnYopUtsTUhw/NeoSfL62WC+dcL1Pp07NJS6u5QcmVVXltts8/OMfbjyeCgLDDjgRz15PIOxv4I9cURS6du2KrYE0Tk2ZVloXbnc0J050o7h4L7Ab/1hfwZhMJjIzM3n++ecjdn5J45DiTBjExMRovXv3DqtDAeJP8NNPo/h/9u49Pq6q3v//a80tl6ZpmnvSJr2kQCql5VJFRSmCX1EUVKwexYLCFwuKoNhzUI8+9Kuex9fjOSD+PHirfMVjAUUr5yhy8UAVFEU0IFAopSRt0yTNpUmapGmaZC7r98eemc7k1lxmMpe+n4/HPFZm7b1nfTrTWTPz2WuvZe3kM3kbE2TlymcYGemmra1twsce+0aezhu2r2+Ujo4DjJ1oz0kKuYG3YswSVq58Bq93iiWUJjE4OHjCeAsLC6PJJL8/n927z8XayKSxscdZwGJMkNWr/0ZOjhOPtTYu+TQwMEBzc/OkbdbU1LBo0SK8Xm/cde6RhEpeXh45OTnk5eWRl5dHfn4+Q0OL+Na3zmR0NB/nUiHfmDKHvDwfzz/v45RTnAROKq5/nGxu5ssvb+LSS9Nzsix9+ZZEKSgo4KyzzopLgseWY+t27VrN/v01WOvDGWXmHVN6cLlcvPa1fXzgA134fD4GBgbYsWMHTz31FMPDw+Tm5vLWt76VTZs2sXLlymgf4vF4oj/8/X5/3CiISJ/wgQ8s5dixFuAnwEM4P+rzgLcC7wMqgCA+3wif+cxf45IIkX9P5Id4bBmp93q9HD58mD/+8Y8888wz0Xhf//rXc8kll1BdXY3X68XtdnPnnZU8+mgxwaCb4ycGjo9WBIPbDZddNsiWLQPA+BGJ4PSxbW1t3H333Tz88MMMDQ2Rn5/Pu971Lj7ykY9QW1sbfT4iI0Uil3IODw8zOjoaLUdGRrj//iqefbaIUCjI8QRCbBnAmBFqalo49dRdBAIBuru72bVrF6EJJkqIfAYsWLBg2p/RU5nu53dFxe/p7Nw3rk1jDG63m4svvpjVq1dHP5Nyc3Pj/o7cIvcjn0+Ry4gin1W5ubmTDjEfn8BP/0tKlbzPHJMlZ2LP1gcCgejfS5bkMDg49oQkMGap4ZPhstJExtLU1MS///u/c++99zI4OMiCBQt4z3vew1VXXUV1dXV0jqfId+DY29iRDbONazrJ8dmK/D8aHh7mlVf8bNjg4dixEM7vmADHEx3OfY/nd7hcnyYYDMR9h4x8Tn74wx9mxYoV0SR8IBBgZGQk7n5sGQwGo/cjIxYjt8hJ6Uh9KBSa4jNiANjOiUalnH766RQXF7NgwYK4xTcWLlxIUVERixYtIjc3F5fLFf08j/zbJvp+EFt6PB6MMdG5v2K/U3g8HlauXKn+NwMoOTMNkTlnYj+MIrfY+7EjTXbsMNx44wL8/lD4DEEIsLjdQTyeEP/yL4eoqWniox/9KMNTrDOdk5PDrbfeSllZWfQL/FiRus7OTm655RZGRiafaA9y+fjHv8NFFy0a91ixHUGkk4+8qb1eL+3t7bzvfe+bcqnlib74TXN17gklc8bumcSVbjOHp/N1+/ryLYmSl5dHZNTiiXR0dBAMLmBw8O3TSox7vcPTSjaf6CxXrJaWQo4efZapkuOwdNxIwemeKZtJvDM5STBVoj7Rz9FM4xodHWXfvvFJkLFxrFixIvqZFZvoiiRLxtZH7kcS9/n5+eTn51NQUMDBg9X8/OenEwrlEQzm44w+zcXtzsHny+PrX9/HP//z+WnxeRCbwB8Y+ARwJ7EjZsZK9SWl6fzZJfHy8/NZtWpVdFR17ImziUw9IjmSHLYUF3eyZEkTo6OjdHd3c/jw4ejIs5KSEioqKsjNzY2OSI8k4CPv28l+pHZ3h3jiiW7iR42fB1wKVANuPB64/vqXKSsL4vV6o99vI9/fY/+tsXWRsqenh7/85S+89NJLjI6O4vP5WL16NWeffTaLFi2K7tfb6+W++9YRDLqITSzEli7XCG9841Pk5ByN/viPLYPBIH19fRw4cGDW/W/keXO5XOETDAt46aVzCYUiJzDc425uN7ztbc9RVOS8R9va2vjTn/4UfV5i23e5XKxdu5bS0tIJL7OZqC72+Yz8O2ONX90tIgT0Y8wvsXbyGY2NMRQUFOB2uxM6+iTC7XYzNFROc/NrsXYB1kamH/gFzsiZyU86prpv08nTzKDkzDTMdELgiBOtSJ3oLynTeTyPx8t1182uY5hLvLNdnTvZX+SmG1e6faFM5wRIuj1XkrnWrFnDz372s3GXWwYCAay1cUnxyFmwp5/2cOutZeGzaiEiIzJcrlFcLj/vfe/LLF3aRXd3Nz/96U8JBCY/y+VyuTjrrLPweDyEQqFxPwpib6Ojo+zY8bvwiJDJ5OB238Z11x2moiIU9+MAiJ7Fm+iLem9vLz/+8Y+njNftdvP2t789eglme3sRf/3raeEvxC4iCSNjAhhjWbfuRUpLe8eNVoyUQ0ND/O1vf5twxErsc3TOOeewcOHCuH9P5BY5o5uTkxMtm5tL2b59NcGgl1Aoh8joJrfbhdvt4Qtf6OW880Lk5uZy++2386tf/WrKf7fX6+Xaa6/lu9/97hTP/cxM9dlw223p2cel8+dCRLqd6JDJTZUcH3tZP8DISC6vvnp2TF8TucUeN/NR49MxeRI5khi/CGOWsmTJyxQU9Ea3zuQSkpkmqgcHi2ltrY+JISIUntogPpaxppOYjiRHIgmmsSeKJ/53TJ78iI3LOeERZHBwcNrJ8dkam3zz+wvo6lrOoUPVBIM+3G5DdXU3weBDtLdP7zl517veFR1BEruKXOxnUuzfkVvsttiRjmNHI439jAiFCoH07n8z4TNClJyZltkmZ04k0W+SZL/pUvGmTpeOJF3iiEjn7Le+fEuizHTOg4jpJF1TkRwHL+9612YeeGD+kuOzTYzPpc3pmG5c6db3RtpKt5ggvT8XYp3MS6RmkrPOOos//elPcfMenmhhjIlHJFs8nhBer+WnPw1SV/cq55577pTfEfLy8njkkUeoqamJuZzEP+FlpQcOHOBTn/rUlKPGXS4fV131aZYty4v+v4uMerfWjks2RUbdRer6+/un1Rdu2bKFsrKy6GiVnp4cHn+8kqefLmF4OIfcXBcXXDDE+943xLJlJi4xEEkGRMovfOELbNu2bdb9b+wcXLGX5I6OjtLUFOSuu7z85jcehoZC5Of7ueiiAS69tJvS0mPR5+iuu+7i8ccfn7K/cLvdXHbZZfzTP/1T3KW4Yy+3GXuJjcfjiSY9pjuxbLr2vZAZ/a9OnmaGqZIz0bNpJ/vtnHPOsclgjIk9tTDpzeVypeTx5vvx06XNdI4jYuHChdOKp7CwcF7iGeuhhx6y+fn51uv1xsXj9Xptfn6+feihh1ISl2SWZPW91ib+PZTs92Qq3vPp0M+kW9+brjFZmx6v13Q1NjbaG264wRYWFlqXy2ULCwvtDTfcYBsbG1MdmoTNtv9tbLT2hhusLSy01uVyyhtucOqttfbjH//4uO8GY29er9fecMMN02ov0Y+XqjbGSof3czrEECtd+15r0++5mkhjY6PNz8+fMr78/Hz1wykGNNhJchJaHyvJpjtkM1X7zffjp0ub6RxHxKZNm6KXQkzG6/Vy5ZVXzks8Y73jHe/ghRdeYPPmzdEJogsLC9m8eTMvvPCCzopKyg0ODqb1fvP9+OnS5ljp1vfOpK35jAnS/3MhVl1dHXfccQf9/f3h5V77ueOOOzSaMgvU1TmTyfb3O6sy9fc79yMv7d13332CEYbOJZ7btm2bVnuJfrxUtTFWOvS/6RBDrHTteyEz+t+6ujq2b99Ofn7+uFi9Xi/5+fls375d/XAaU3ImyRL9Rk52x5CKjiddOrt0iSNiy5Yt04rn5ptvnpd4JqIv35LOlBxPzzbHSre+F9IzJsiMzwWRTEuMz1cbY6VD/5sOMcRK174XMqf/1cnTDDfZkJqT7ZasofWJHl6W7OFqqRgOly5D8NIljli6dEiyXTIva8q0ofWpGFafijbHSse+Nx1jitDngiRKsvrfTLukdL7aGCsd+t90iCFWOve91qr/lcRgisuaUp4USZdbMn8gJPqNnOyOIRUdT7p0dukSRyxdty/ZLJl9r5Lj6dnmRNKx703HmCL0uSCJkKz+N9MS4/PVxljp0P+mQwxjpXPfa636X5k7JWdSnJyxNvFv5GR3DKnoeNKls0uXOEROBsnue5UcT882J5KOfW86xiSSKBo1Pr9tTCQd+t90iGEs9b2SzZScSYPkjIiIjDcffa+S4+nZpoiklkaNz38bE0mH/jcdYhA5WUyVnDHOdlm/fr1taGhIdRgiIieV9evXo75XRGT+Jbv/bWpq4vbbb2fbtm0MDg5SUFDAlVdeyc033zyrhQMS/XipakNETm7GmGestesn3KbkjEPJGRGR+afkjIhIaqj/FRGZf1MlZ7SUtoiIiIiIiIhICik5IyIiIiIiIiKSQkrOiIiIiIiIiIikUFYkZ4wxLmPMzcaY3caYYWNMizHmNmPMglTHJiIiIiIiIiIylaxIzgC3A98EdgE3Ar8AbgIeMMZky79RRERERERERLKQJ9UBzJUx5nSchMz91tr3xdTvA74NfBC4N0XhiYiIiIiIiIhMKRtGlXwIMMC3xtT/EBgCNs17RCIiIiIiIiIi05QNyZnXAiHgr7GV1tph4LnwdhERERERERGRtJTxlzUB1UC3tXZkgm1twBuNMT5r7ejYjcaYzcBmgJKSEtavX5/cSEVEJM7+/fvV94qIJEDzS4MALDu9YFr7q/8VEZmBvXvh2DGorISSEjo6Oujp6cE/EsLryuP0M1dN95HOnmxDNiRn8oGJEjMAwzH7jEvOWGu3AlsB1q9fbxsaGpISoIiITGz9+vWo7xURmbvrVv8BgB80nD+t/dX/iojMwEUXwcGD8MMfwpvexE033cSjjz5Kz34oyT2FhoZfT+thjDHPTrYtGy5rGgJyJtmWG7OPiIiIiIiIiMj0hULQ0+P8vcoZIXPo0CEA3CZ3sqNmLBuSMweBUmPMRAmaJTiXPI0bNSMiIiIiIiIiMqELLnBu3d0wMgI+H5SXA9ATTtZ4XXkJay4bkjN/w/l3vC620hiTC5wJaLymiIiIiIiIiMzcq686ZUkJuJwUSm9vLwBeV37CmsmG5Mx9gAU+Pab+Yzhzzdwz7xGJiIiIiIiISObbv98pw6NmhoaGOHr0KC6XC08CL2vK+AmBrbU7jTHfAT5pjLkfeAhYDdwEPAHcm8r4RERERERERCRDHTjglFVVAOzbtw+AwsJC+lyJG++S8cmZsE8D+3GWxX4n0A38B/Ala20ohXGJiIiIiIiISKZqbXXK6moADoSTNYsXL6Yvgc1kRXLGWhsEbgvfRERERERERETmrrPTKZctA6CtrQ2AsrIy9nE4Yc1kw5wzIiIiIiIiIiKJF142mxUrgOPJmYqKioQ2o+SMiIiIiIiIiMhYoRAcDo+OOeUUADo6OgCorKxMaFNKzoiIiIiIiIiIjDU6Cn4/5OdDUREAh8IjaZYuXZrQppScEREREREREREZ69gxpywpiVb19PQAUFNTk9CmsmJCYBERERGRk9WTT8KOtnrKcgdSHYqISHYZHgaXC8rLo1V9fc4aTcvCEwQnSlaOnDHG5Btj9hljrDHmjlTHIyIiIiKSLDt3Qs/IAg6PLEh1KCIi2WVkxCnDy2j39fUxPDyM1+vVnDPT9FWgNNVBiIiIiIgkW0uLU+Z7RlMbiIhItokkZ8KXMO3duxeARYsW4XIlNp2SdckZY8zZwKeBL6c6FhERERGRZGtvd8oF3pHUBiIikm38fqesrQWgJZwNL4mZgyZRsio5Y4xxAz8EHgHuT3E4IiIiIiJJ19nplAu9w6kNREQk20SSM3V1wPHkTGlp4i/UybYJgW8G6oH3pToQEREREZH5EF44hIU+JWdERBImFIJAwPl75UoA2sNDFctjJghOlKwZOWOMWQF8BfiqtXb/NI/ZbIxpMMY0RNYqFxGR5Nq6dSvr169n/fr1qO8VEZmb4WE4csT5u9AzdXJG/a+IyAwMh/vUwkLIzwegq6sLgOrwBMGJlDXJGeB7wD7gm9M9wFq71Vq73lq7vqysLHmRiYhI1ObNm2loaKChoQH1vSIic9PUBNaCzx3gRHNTqv8VEZmBY8ecMmZ+mUhiuyY8QXAiZcVlTcaYTcDbgPOttf5UxyMiIiIiMh/27XPKXJe+AouIJFRk5ExFRbSqJ3wdqZIzEzDG5OCMlnkI6DDGrApvWhIuF4Xruq21famIUUREREQkGQ4ccMo8t5IzIiIJFVlGO3wJUygUor+/H4CV4TloEikbLmvKA8qAdwKvxtweD2/fFL5/bSqCExERERFJlvDCIeR7RlMbiIhIthkN96vhZbS7urrw+/3k5ORQVFSU8OYyfuQMcBR4/wT1ZcB3cZbV/n/AC/MZlIiIiIhIsoUXDqH92AP8oeN/gPNTGo+ISNYYk5xpbm4GYPHixUlpLuOTM+E5ZraPrTfGLA//2WStHbddRERERCTTdXWBKxSglAMEQqFUhyMikj0iy2ivcmZOiSRnSmImCE6kjE/OiIiIiIicrHp6IH+wi28P309P4FiqwxERyQ5DQxAMOn+vWAFAa2srQNJWu8va5Iy1dj9gUh2HiIiIiEgyDA/DwACUBAYpoYtXTXLO5oqInFSamuALX3ASNADFxbBpE4fDI2kqKyuT0mzWJmdERERERLJZU5NTlnEIt7G0uvJTG5CISKZ7+GHYuPH4Sk0AR47AnXeyNBSiuKqKJUuWTH78HCg5IyIiIiKSgfbtc8oqnFmBD7gWpDAaEZEM19TkJGYiI2Zi+f0MAKvb2ljuSs6i19mwlLaIiIiIyEln/36nXBJy1tPe6y5IXTAiIpnuttvA7590cy9grGXVo48mpXklZ0REREREMlBbG7iCo1TZdgIYWowuaxIRmbW77540ORMC+nASKNUPPpiU5pWcERERERHJQAcPgm90kEpvD70uHyRpqL2IyElhcHDSTQM4CZqFgO/o0aQ0rx5cRERERCQDdXWBd2SQSm833SYn1eGIiGS2gskvDe0Nl8Un2G8ulJwREREREclAPT3g8w9R6e2m3eSlOhwRkcy2aRN4vRNuOhwuFxkDV16ZlOaVnBERERERyTBDQ87qrjmBQSq8fRxwa6UmEZE52bJl0uRMZORMkdsNN9+clOaVnBERERERyTB79zplhe3EbUI0axltEZG5qauD7dshZ/xloj3GEDSGvg9/2NkvCZScmcRvfvMbFi1ahDEmeisrK+O5556b1eN9+tOfJi8vL+7xvF4vH/7wh5PedjZKxHN0/vnnxx0/2S0ZbYvIxPTeTm+JfI6uuOIKvF5v3GPl5eXx2c9+Nulti2QDJzljqbIHAWia4zLaen+nt0Q9R8FgkDe96U243e7o47hcLtatW8exY8eS2rZIRnjHO+DTn4aiIoh8XywsZNeqVTyzciUFb3lL8tq21upmLeecc46N2LZtmwUsYHNycmxVVZX1eDzRuqefftrOxMqVK6PHLly40C5ZssQuWrTIulwuW1lZGbdvotvORol6jv71X//VLlu2bMJb5PF8Pl9S2hYRRzL6Xr23kyORz1FVVVX0uMLCQltVVWVzc3OjdRdeeGHS2hbJFt/+trVr6o7ary/6v9aec46tL7rU1hddOu3jk/XdV+/vxEvkc1RQUBD3+pSWllpjjAVsbm6uDQQCSWtbJGPcdJO19fXWLl9u7YYN1lpr3/a2t9n6+nq7Y8eOuF1n2vcCDXaSnETKkyLpcov9OwP0LQAAIABJREFUgPJ6vRaw69ati3siy8vLLWCLioqm+9zbd77znRawHo/HvvLKK+O29/X1xd1PZNvTsXfvXnvrrbcm9DFna7qxzMdz5HK5LGA3btw4722LnEyS1fdOJl3e2ydz37tjx47ol/onnngibtvHP/7x6LZktC2STW65xdqzl3baH5VssfYd75hTcuZken+fzP3v5ZdfHn0NnnrqqWh9X1+fzcnJsYB985vfnJS2RTLK+9/vJGfq66PJmfXr19v6+nq7d+/euF2VnElicuaee+6JdlojIyNxT+Qrr7wS3Tb2RZnIyMhIdP8nn3zyhPsnsu2pHDlyxF5xxRU2Pz8/OprnRCI/aCa7ud3ueYllPp6j22+/Pfo4Q0ND89q2yMkmGX3vZFL93lbf6/jnf/7n6BnYiYz98aa+V2RiV11l7bkVe+2DlddYe+21s07OnAzvb/W/jsiombPOOmvctshnpDEmKW2LZJS3vMVJzJx5prUbNthjx47Z+vp6u3r1auv3++N2VXImicmZN7zhDVNmgSPZ44997GMnfOJvvvlmC84QwSNHjtgPfehD9tRTT7VnnHGGveWWW8btn8i2J/K5z33OFhcXx32weL1ee/XVV5/w2Pr6+gkvEYg8zrJly+YllmQ/R9ZaW1JSYgFbW1s7722LnGyS0fdOJlXvbfW98RoaGqJtx565tdbam266adwPO/W9IhN7+9utfXPxTvtMzWXWfu1rs07OZPP7W/1vvMjlSJs2bRq3rbm5ORrX888/n/C2RTJGMGjt2rVOcuYNb7B2wwa7e/duW19fb88999xxuys5k8TkTEVFhQXs6tWrJ3wyI51q7FDQyaxZs8YCtri4OHot59iMe+yImkS2HbF161ZbU1MT167L5bLr1q0bN9x0piLxLly4cFw2PVmxJOM5itXa2hqN7Ve/+tW8ti1yMkpG3zuR+X5vq++dWuTzEbCLFi2y1dXVNi8vz4JzGXBsXOp7RSa2fr21Fy582rbXvdHae++ddXIm297f6n8nFxmtc/bZZ4/bFju69HOf+1zC2xbJGO3tTmJm3Tpr3/xmazdssI888oitr6+3b3/728ftnsjkjFZrGmN4eBiAoqKiCbfn5eUB0N/ff8LH6u3tjZbWWj72sY/R2NjIt7/9bbxeL8FgkA0bNiS87d/97necccYZuN1uNm/eTEtLC8YY6urq+NnPfkYwGOS5557j/PPPP+G/YSLBYJDi4mI6OzspLi7m8OHD+Hy+eYklka/PRK644goAfD4fl1122by2LXIyy4b3tvre6b8+O3fu5PLLL48ec/DgwegqIRdccEFcXOp7RcYbGoLBQcgNHKXM0wennTbrx8qG97f63+m9Pm984xsBePbZZ3nmmWei9YODg3z+85+P3m9tbU142yIZo7HRKUtKwOWkSyLvibKysqQ2reTMLE20DOtYoVAo+vc3vvENtm7dSl1dHTfeeCP79u0DnM5+smUFZ9v2RRddxIsvvkgoFKKqqopbb72VUChEY2Mj//AP/zCjtsY6duwYRUVFHD58mKqqKnp6enC73SmJZSrTeX0m8uSTTwLwnve8Z97bFpETS+f3tvre6b8+9fX13H///ZSXl3PPPffQ3NzM1772NbxeL4899hhVVVVJa1skG+zdC8YGKaMLt8tCfX3S20zn97f63+m9Pg8++GA0qbR+/XqKioooKyujsLAwmogB8Hq9CW9bJGPs3euU5eXRqra2NgAqKiqS2rSSM2Pk5uYC0NfXN+H2SOa/sLDwhI9VUFAQ/fuWW26J27ZkyZLoYzz88MMJbTs2k9/R0cEPf/hDfvnLX54w3hPp7++nuLiYwcFBli9fzsGDB094TKJjSeTrM9Ydd9wRTaj9+Mc/nte2RU522fDeVt87vdfnk5/8JK+88go5OTl0dnZyxRVXUFtbyxe/+EUaw2erOjo6uPfeexPetki2aGoC7+hRyty9sHgx5OfP+rGy4f2t/nd6r4/P56Onp4fVq1djjKG/v5/u7m48Hg9f/epXcYVHCZwWHoml/ldOSi0tThmTSO7o6ACgsrIyqU0rOTPGypUrAWhvb59w+5EjRwA4++yzT/hYp59+OkC0oxsrMhQwkqlOVNsjIyPcc889rFixAmstr7zyChs3bsTj8XD22Wfzhz/84YSxj9XR0UF5eTnDw8OsXr06OvLnRBIdSyJfn7G+8pWvALBs2bLoazNfbYuc7LLhva2+d3qvz/bt2wHn7PpYtbW15OTkAHDfffclvG2RbHHgAPhGBilzH4Y5/ljIhve3+t/p94EFBQXs2rWLUCgUnedidHSUa665Jnoi4/rrr09K2yIZITxKhqVLo1WHDh0CoLq6OrltTzYZzcl2i0xktW3btuhkWHNdMu6pp56K7t/T0zNue2SG84svvjjhbcf66le/asvLy8fNDv/mN7/Z7ty584TH7927Nzq7+1wn/JprLMl6jtrb2yedLDTZbYuczJLR98ZK5Xtbfe/EIqtm1dTUTLjd7XZbwH7gAx9IeNsi2eKf/snaN5TtsXeVbLH2xhuttTOflDIZ/W+6vL/V/87c6173uuhkx/Pdtkhaee97nQmBf/ELazdssHbDBnvhhRfa+vr6uMV8IrRaUxKTM9YeT5qsW7cu7omMdKxjl5Pbtm2b/f73v2/7+vrGPfkLFiywgF26dGlc/TXXXBPt0CLL1c2m7ZkYGhqy11xzjV24cGHcB8Spp5466TE7d+60LpfLAnbDhg2zbjsRsUQk8vWJeMtb3mIB6/P5Etq2iEwtWX1vRDq8t9X3xr8+l1xySbTdBx98MG7bpk2botuefvrpWbctku2uvNLaDUV/tw9VfdTa22+31s4+OWNt9r6/1f+O/3zctWvXuLovfelL0XjuueeeObUtkvHe9CYnOfPMM9HkzFlnnWXr6+ttW1vbuN2VnElyciY2S5yTk2Orq6uj2fOxHyjhJ9gC9uc///m4J/+JJ56Ibne73baiosLm5uZG6975znfG7T/TtmertbXVXnLJJdbn89lFixZNup/P57PgLPu3bNmyCW9dXV3zEktEIl+fiLFnchLVtohMLVl9b0S6vbfV91o7MjISd1xBQYGtqqqK/psBe8YZZ8ypbZFsd/HF1r614M/22ZrLrH3gAWvt3JIzJ8P7W/2vw+VyWbfbbYuLi211dXXca/ORj3xkzm2LZLRg0No1a5zkTH+/tRs22P7zzrP19fV2zZo1NhgMjjtEyZkkJ2estfZXv/rVuMx2aWmpbWhomOgJnvIHQkNDw7jhjDk5OfZzn/vchPvPpO1EGBoamrB+ZGQkLobJbvMRy1iJfH2++93vRveZTvvz/fqIZLNk9r3p/t4+mfvevr4+u2bNmujZ6cjN5/PZq6++es5ti2S79eutvST3Mdte90Zr9+yx1s4tOWPtyfX+Ppn73/r6emuMiXucoqKiKU90qP+Vk8b+/U5iJtI/bthg/3722ba+vt6ed955Ex6SyOSMcbbL+vXrbUNDQ6rDEBE5qaxfvx71vSIi0zc0BK89y8+p+x9l+ymfx/3C38HlYvXiywB4+fCvp/U46n9FRMbYsQM++UmorYXf/hYuuIBfd3fz2WCQVatW8cADD4w7ZKZ9rzHmGWvt+om2abUmEREREZEM0dgIvpEjLHb34y4vgUlWBRURkRmKrMpWURGtahsZAaCsrCzpzas3FxERERHJEE1N4B09Som7D6qqUh2OiEj2OHDAKWP61oOjowBUVlYmvXklZ0REREREMsSBA+AbPUqZu9cZei8iIonR3u6UNTXRqo5wcqZqHpLhSs6IiIiIiGSItjbw+o9S7jkMK1akOhwRkezR0eGUy5dHq7r9fgCWLl2a9OaVnBERERERyRAdHeALDFHh64FTT011OCIi2aO72yljEt894eRMTcxommRRckZEREREJEN0doTwBoep8nbDa16T6nBERLLD6Cj094MxUFcHQCgUoi8YBGDlypVJD0HJGRERERGRDNHfcQyXDVK58CiUl6c6HBGR7LBvH1gLhYWQmwtAdyCA31pycnIoLi5OeghKzoiIiIiIZIDBQfAfPoqbEOU1uakOR0QkezQ1OWVpabRq37FjABQVFc1LCErOiIiIiIhkgMZGZzLgYncfrqVLUh2OiEj22L/fKWNGJLaMjABQUlIyLyEoOSMiIiIikgH27QOf/ygl7j5YtizV4YiIZI+WFqdccjzx3bp5M9TWUlZWNi8hKDkjIiIiIpIBmpvB6x9yltEOT1gpIiIJcPCgU8asytTe3g5AZWXlvISg5IyIiIiISAZoa3OW0S5z98Jpp6U6HBGR7NHV5ZQxy2h3heuqqqrmJQQlZ0REREREMkBHqx9vcIQKXy/U16c6HBGR7NHd7ZQxS2YfOnQIgJqY0TTJpOSMiIiIiEgGONw8AFjKF/shPz/V4YiIZIehIWc5PLc7bj6v3t5eAGpra+clDCVnREREREQywGDnEACVNZ4URyIikkX27HHKoiLwOP1rKBRiYGAAgOXLl89LGErOiIiIiIikuYEBGD0yjIcglasKUx2OiEj22LfPKWNWZWptbSUYDLJgwQIKCgrmJQwlZ0RERERE0lxjI/j8Qyx29+NauTzV4YiIZI/mZqeMWZXpwIEDABQVFc1bGErOiIiIiIikuX37wBsYotR9GE49NdXhiIhkj5YWp4xZlak5nLApLS2dtzCUnBERERERSXMtLeFltD19WkZbRCSR2tudMmYy4La2NgDKYi51SjYlZ0RERERE0tzBxiHcIT+lvn6oq4vbNjAwwGhwiFAolKLoREQyWFeXU65YEa3q6OgAoDLmUqdk01TvIiIiIiJprntPDwBlxUFwxZ9ffeSRR2g9+jQ5bk0ULCIyY+Els1m5MlrV2dkJwNKlS+ctDI2cERERERFJc/1tgwCULxl/bnX37t0AeEzOvMYkIpLxurvh2DHweqG6Olrd0+MkxJWcERERERGRqCO9fgCWnLpg3La9e/cC4HWP3yYiIlNoanLK4uK4UYm94dE0tbW18xaKkjMiIiIiImlsYAD8Q348BKlcN37+g5bwSiM5roXzHZqISGYLJ7eJmfh3eHiYwcFBjDEsi5kkONmUnBERERERSWONjeALHKPY3YfrtPhltAOBAF3hySw154yIyAxNsIx2S0sL1loWLlyIz+ebt1AyPjljjDnNGHOPMeZlY0y/MWbIGLPbGPNNY0zViR9BRERERCR97W0M4Q0eo9RzGF7zmrhtu3fvJhAI4DIePK75+xEhIpIVWludMmZumf379wNQXFw8r6Fkw2pNS4Eq4L+AViAAnAFsBj5ojDnTWtuVwvhERERERGat7YUeXDZIsW8Iysvjtu3cuRMAjysvFaGJiGS29nanrKmJVrWGEzYlJSXzGkrGJ2estTuAHWPrjTF/AH4OfBT4t3kOS0REREQkIbpe7gageLEdt+3ll18GYEXBMG+oeHVe4xIRyXiHDjllzDLabW1tAJSPSYYnW8Zf1jSF5nC5OKVRiIiIiIjMweHmIwCUVnvHbYsMvy/K0TLaIiIzEgpBeFUm6uqi1Z2dnQBUVc3vLCkZP3ImwhiTCxQAucBrgG+ENz2UsqBEREREROao/9AIAJV1+eO2RVZqWjyPk1aKiGSFjg7w+yEvD0pLo9WR5MzSmHlo5kPWJGeAa4H/iLm/H9hkrf1jasIREREREZm7gQEwQO3ZZXH1w8PDdHV1YYyhWMkZEZGZaWx0yjET//aGR9PUxMxDM5nDI2/HHyynuRnmuup2NiVn/hvYjTN65izgMqBsqgOMMZtxJg6mtrY22fGJiAiwdetWtm7dCsChyHW+IiIyob4+CIwEySdA5etXxG3btWsXoVCI4uJifJGh+VNQ/ysiEmPfPqccM7fM4cOHAVi+fPmUhwcCMDB6AUG7kL/8Ze7JmayZc8Za22qtfcxa+9/W2i8DHwG+YYz5/BTHbLXWrrfWri8rmzKPIyIiCbJ582YaGhpoaGhAfa+IyNQaXx7FGxxhsXsA12vq47a9+OKLACxZsmRaj6X+V0QkRnN4mtqYuWUGBwcZGhrC7XZTXV095eG/+AUE7ULc5gjve9/cw8mmkTNxrLUvGGP+DnwC+Hqq4xERERERmamWP7cClqK8YciPn3PmlVdeAaCuro7exVoDQ0RkRiZYRjsyyfqiRYtwuaYey3LPPU5Z4P0LHs9r5hxO1oycmUQeUHzCvURERERE0lD7C10ALFo0ftu+8JD8VatWzWdIIiLZoaPDKWOuR4okZ4qLp04j/OlP0NQEBj+LfP+TkHAyPjljjKmcpP4twBrgL/MbkYiIiIhIYhxq6gegtGL8gPfW1lYA1q5dO68xiYhkhcjcWyuOz+fV1tYGQGnM6k0TufNOp8z3PI/HNZSQcLLhsqbvGWOqgN8BzThLaZ8DfBA4AmxJYWwiIiIiIrN2uNMPeChbsSCufmhoiO7ubowxnH766akJTkQkUwUCzozrADGjDyPJmcrKCceAAM5UNX/9KxgDi32PJCykbEjO/BRn8t8rcVZnsjhJmh8A/26tPZDC2EREREREZq2/zwJQfUZJXP3OnTux1lJWVkb+mLloRETkBFpaIBiEggLnFtYRvtRpquTM978PoRCccw48E5m3JgEyPjljrf058PNUxyEiIiIikmiDQ84sBMveVBNXH1mpaenSpfMek4hIxmtsdMoxly91d3cDk6+CNzgI/xOeYubaa+GZBxMXUsbPOSMiIiIiko369vcxEnDjMSGq3rAibltj+IfFihUrJjpURESmEp5QnfLyuOre3l4AlsVMEhzrrrtgaMiZQ/iCCxIbkpIzIiIiIiJpqOnRvQAszB3F5Yn/2t7U1ATAaaedNu9xiYhkvJYWp6yujlaFQiEOHz4MTJz4DoXgF79w/r7iisSHpOSMiIiIiEgaanvWmfugsHCCbeFJK9esWTOfIYmIZIdwH0rN8UtGe3t7GR0dxefzTbiU9q9+5SzwtGiRkjMiIiIiIieNzlcHACgqjZ8mcmBggN7eXlwuF695zWtSEZqISGbr6nLK5cujVfvClzoVFRXhco1PlfzkJ0757neDJwmz9yo5IyIiIiKShnoOjgBQUhu/jPbOnTsBKC8vJzc3d97jEhHJeOGJf6mri1YdOOAs9DzRqJmGBti9G3w++NjHkhOSkjMiIiIiImmor9dZRrtidfwPhZdeegmAmpqacceIiMgJDA/DwAAYAzFzyxw8eBCAsrKycYds3eqUGzaMW+ApYZScERERERFJN6EQfUfdANS8IX657FdffRWAlStXzntYIiIZr6kJrHUmj/H5otWR5ExlZWXc7gcPwlNPObmc665LXlhKzoiIiIiIpJuWFg77FxIyHlauL4nbFJkXQSs1iYjMQmQZ7TFDYDo7OwGoqqqKq//+9yEQgLVr4fTTkxeWkjMiIiIiImmm56+vcszmYr1expzEpbW1FYAzzjgjBZGJiGS4/fudckzneujQISD+ktGhIXjoIefvq69OblhKzoiIiIiIpJmWvzjD6xcWQOyiIX19ffT39+PxeKivr09RdCIiGaylxSnHjJDp7e0FYHnMCk7btsHRo7BkCfyv/5XcsJScERERERFJMwdfcZbRLix2x9U/99xzgLNSkycZa7mKiGSZ664bM1dMe7tT1tZGq0KhEAMDTr8bSc6EQnDffc72D34wPlGeDErOiIiIiIikma4WPwDFS/Li6nft2gVAbcyPChERmYHw3DJjV2oKBALk5+dTUFAAwCOPOHmcggLYtCn5YSk5IyIiIiKSZnoPBQEoPS1+MuDISk0rYn5UiIjIDPT0OOWqVdGq/eF5aIqKiqJ1d93llO96F+TmJj8sJWdERERERNLJ6CiHj3oBqDyzIm5T5AeE5psREZmFgQFnEhmPB2Im/m0Jz0NTUuIkxF980bl5vfDb38IFFyQ/NCVnRERERETSyZ499AQWEXDlsPy0+Mua2traAFi3bl0qIhMRyTx/+INzA2hsdMqiorhJZCKr4FVUOAnx733PqT/vPPD55idMJWdERERERNLJ7t10Bxcz6sln5crj1V1dXRw5cgSv18spp5ySuvhERBJo3IS9ybR3r1OWlcVVd3R0AE5ypqsL/vjH47HNFyVnRERERETSSO9zBxi2OZgcH5WVx+uff/55ACorK3Ele9kQEZFsdOCAU8Z2rsChQ4cAqKqqYutW8PvhNa+BM8+cv9DUq4uIiIiIpJHWXf0AFBS545Zu3b17N6CVmkREZi18+RJLlsRVR5IzFRW1PPCAU3fVVfMZmJIzIiIiIiJppaN5BIDCivj5Zvbs2QNAXV3dvMckIpIV2tudMmYyYIDe3l4Ann9+JQMDUFEBl146v6EpOSMiIiIikka6uywAxSuK4uq1UpOIyBx1dTllzIRegUCAI0eOAIYdO5YCsHFj3HzB80LJGRERERGRdNHXR/fRXCwuyleXxG1qD5/xXbt2bSoiExHJbKEQ9PQ4f69aFa1ubm7GWou15bS357BgAVxzzfyHp+SMiIiIiEi6eOklDgWK8XtyqV1+/Kv6wYMHOXr0KDk5OaxYsSKFAYqIZKjubhgZcdbGLi+PVjc3NwPQ3+/0rW97G+Tnz394Ss6IiIiIiKSLPXvoDhYx6sln+fLj1ZGVmqqqqrRSk4jIbLz6qlMWF8dds9TS0sLoqJehoWW43XD99U59UxN84hPw5JPwxBNQWOjcb2pKTnjq2UVERERE0kSocS/dwcWMevOJnff35ZdfBqBmzCSWIiIyTeF5uygri6tubW3l8OEi3O5iXvc6qK2Fhx+GtWvhzjshGHT2O3LEub92rbM90ZScERERERFJE/2NXYxYHyY3N3bUPY2NjQCccsopKYpMRCTDHTjglFVVcdXNzYcYGirE4ynjuuuckTEbN8LQEPj98Q/h9zv1GzcmfgSNJ7EPJyIiIiIis9W2z1lGu6AsN26lkMicCKtXr05FWCIime/gQadcujSu+umnh7HWxdKlRZx7rnPp0tikzFh+P9x+e2LD08gZEREREZF0EArR2eH8WVSzKKY6pJWaRETmKtyPsmxZtCoQgObmEACXXVYEwN13Ty85s21bYsNTckZEREREJB20ttI1XEjIeChbviBa3dLSwrFjx8jLy2PpmDO+IiIyTYcOOWXMinf33QcjI0dwu/185CPVAAwOTu/hprvfdM04OWOMuSOxIYiIiIiICC+/zKFAMaOePKqrj1dHVmqqrq7WSk0iIrMRCsHhw87fMXN3/eQnw4RCRyksHKCmZgkABQXTe8jp7jdds+ndr0hsCCIiIiIiwquvciiwmFFPPrGLMu3evRuA2traFAUmIpLZigKHnGuR8vOhyLl86ckn4dVXOzEmRG0teDzOlLybNoHXO/Xjeb1w5ZWJjXE2yRmT2BBERERERIS9ezkUXIzfm8/y5cerIys1rVq1KjVxiYhkuHJ/m/NHSUm07oc/BL+/gwUL+ikvXxyt37JlesmZm29ObIwnXK3JGHNV7F3AG1tnrf1JYkMSERERETn5hFpa6QlewKivIHbUPQcOHODAAfjxj0/nM5+Z+Ngf/OAH8xOkiEgGKvGHZ1svKwNg3z5oaIBA4BCLF/dRWloX3beuDrZvd5bL9vvjJwf2ep3b9u3Ofok0nZEzb4m5XQB4x9wXEREREZE56m8ZYMT6cC3Ip7TUqYtdqSk//4wURicikhzDw9DZ6UwLkyzF/i7nj/CEXt/7ntNeWdl+vN4A5eXlcfu/4x3wwguweTO43U5dYaFz/4UXnO2JdsKRM9baq2PvG2PePbZORERERETmYHSU9k7nvGlBVQGReX+bmpoYHR3F5VpAbm71FA8gIpKZ/vQn6OmBiy+G66+H974XEj33eVEgvFLT0qUMDMBjjzl3V6xoZM8eZ8L1serq4I474MUXnfuPP57YmMbSnDMiIiIiIqm2Zw8dI4sJuHIoqTg+2cFjj71CR2MFg4Pv54knnDO3n/gENDWlMFYRkQQZGIDeXufv1lb44hfhkkvg179O7EiawmB4pably/nRj+DYMVi+HDyeFgCWLl2auMZmaTbJmScTHoWIiIiIyMls9246AyWMevKorHSqHn4YPvUpN32BVcAyAI4cgTvvhLVrne0iIpnskUfAWliwAK6+2imbm+Gzn4VLL01cP1cQ7AcgtKKOX/7Sqfvwh6E3nBmqiV0iL0VmnJyx1l6ajEBERERERE5ajY10BooZ9S5g6VJnZIwzGWUH4AaOD7n3+2FoyNmuETQikskilwqVl8Mtt8DvfucsZZ2fD3v3wmc+A+9+t1M/W65QgPzgEQDuf6GO7m5YvBg++EE4fNgZUbNixYo5/kvmbsbJGWPMucaYEywsJSIiIiIi09bcTHegGL83n5oauO028I9aoD28w/j5EPx+uP32eY1SRCRhQiF49lnn78jAlcJC+MIXYMcOJ3mSlwd79sANN8Dll8Mf/jDzdkoC7RgsLFzItl/kAXDZZTAw0MvIyAher5fSyCzsKTSby5r+DGxMdCAiIiIiIiet1lYOBRcz6itg+XK4+8d+/AGAg+EdJk7ObNs2jzGKiCTQc89Bfz94PM7ImVhFRfDlL8P//I8zSjAnB15+Ga67Dt7/fnjqqem3Uzbi9KMvetayZw/4fM6qS/v37w+3VYQr0TMQz8JsJwT+hjHmfmPMV4wx7zfG1BtjXADGmGJjzCzyWSIiIiIiJ6dQRye9wUX4fQWc6tnL4DE30A34gSIgf8LjBgfnMUgRkQT67W+dsqRk8tWZSkvha19zkjTveY+TWHnxRbjmGvjQh+BvfztxOyWBTgDuPfQ2AC68EIqLobm5Odx+yZz/LYkw2/RQL7AW+CJwH/AScNQY8xzwOHDOiR7AGHOBMeYfjTE3GWMuNsZUzjIWEREREZHM1dfHQJ9l2ObiLshj8Y9upYB3Bsz1AAAgAElEQVRBjo+aqZr00IKCeYlQRCTh/vxnp6yavIuLKi+Hr3/dmSD4kkvA63VG3lx1lTNHzXPPTX7sYn8XvbaIP/edjjHOct0AbW1tAGlxSROAZ5bH/Zu19l5jzALgDJxEzVqgHqgEvjfVwcaYLwFfJn5ZbmuM6Qaej9ystXfPMj4RERERkczw0ku0jZbh9+RSXOrCdc/dbOJ0tlJDEIAlEx7mZZQrr/TNZ6QiIgnR1+dM+GsM1NZO/7jqamdOrgMHnDm3HnsMnnkGrrgCzj0XtmyBNWvijykKHOLR4Fs55l7AmWfCaac59QcPOgnwysr0GCcy2+QMANbao8BfwreZ+ATwJ5y5a0ZwkjpnAuvCt+uABYCSMyIiIiKS3Rob6fAXM+rJp7wMGBxkC9/k/7ElnJwZP98MgBc/N9+s5IyIZJ6HH3YmBF65EnJzZ358ba2TnNm3D775Tfj97+Evf4EPfADOOw/+8R+PJ2Fy/Ed4MvRGAt58rr76+GN0dHQAUHWCoTuRFaWSbbaXNdk5tpsLbLPWdllr+621T1trf2Ct/YS19jxrbSFw6hzbEBERERFJf42NdAZK8HvyqagACgqoYy8f4HY8+PEQP+Teyyj5HGV73lXU1aUmZBGRufj9753y3HPn9jgrVsB//Af813/BBRc4I3GefNJZ2enjH4dXX4Vn/WsZIo/KZT4uuuj4sT09PQAsXbp0bkEkyGyTM3cYY35vjPkPY8x1xpjzjDGLZnD848DKqXaw1jbNMjYRERERkcxx4ABdgcWM+hawZAmwaRNBj4dCGtnIdv43D1FIPy6CFNLPZrbygucc3nHNNCZqEBFJM6HQ8TliLr4YZ33s2ayRHeOUU+B734P774c3vQmsdUa8XP7uAL8NXAQYLr+qIG7i4d7eXgBqZ3JdVRLNNjmzG+eyo4/izC/zB6DXGNNijHnYGPNvsTsbY75gjHmPMeYUY4wB/hm40hizYg6xi4iIiIhkvvZ2ugLFjPoWUFMDbNnCIY+HALCcI3yfz9BPEUE89FPEHdxIna8Fbr451ZGLiMzY3/4GR47AwoXw2tcm9rFPOw1++EP4+c/h9a8H71Afx8gjx4zw4auOz+oSCoXo7+8HYOXKKceNzJvZzDnzHeB+a+3vAYwxK4E1Y24XALfEHPNlwB3+ewR4BRgAGowxXwX+y1p7YDb/ABERERGRjBUKQWcnPcHF+H0LWbkSqKvj6RtvJHjrrVSCcwo4wut1btu3o2uaRCQTRZbQPvPMyZfQnqs1C/ZxV+6/0eRuZLtrPVW+HnJz3xPd3tHRgd/vJy8vj8LCwuQEMUMzTs5Ya28cc38vsBf4daTOGOMec1gBsBpnRaczYsrFwO3AN8eu1ISzWtPOmcYnIiIiIpIxWlsJjYxyyJYS9ORE8y3P5ObyzMqVnFlQAC++CMEgFBbClVc6I2aUmBGRDPX00065YUMSHvzgQbj1Vnj0UQgEqMsxvHFhDg+VXBm32759+wAoKipKQhCzM6fVmiZjrQ2OuT/K8aRLlDGmmPEJm+txLpmyHB9tIyIiIiKSfV5+mf5gAYOuQnJzoTQ89+/evXsZ9nrJ/eQn4e7wAqbztWSIiEiSdHc7Kyy5XPCOdyT4gb/5TXjwQRgdderOOQduuYW7/6Fv3O6tra0AlJSUJDCIuUlKcma6rLW9OJMDPx6pC89JsxInUSMiIiIikr1efZWDo2WMevIpLj5eHfnhsHr16hQFJiKSeA895FypWVdHXJ83awMD8K1vwX//Nxw75tStWeOspR1dCmr8ZMNtbW0AlJWVJSCIxEhpcmYi1loLNIVvJ2SMORXYBLwNqMNZprsJ+AXwLWvt0SSFKiIiIiIyN/v20eEvxu/NpzL8G2F4eJhDhw5hjGHdunWpjU9EJIEiizK9/vVzfKChIfjOd+C+++Bo+Cf/qlXOZZ8XXnjCw9vb2wGorKycYyCJM+fkTPjSpPOBIqAV+KO1dmSaxy6z1jbPMYRrgBtw5ry5B/ADbwH+BfiAMeb11tpjc2xDRERERCTxWlroCFQz6iugKrwy9q5duwiFQpSUlFBQUKDLmUQkK8QuoT3rS5pGR2HrVudyz/BqS9TWwo03wiWXTHuG4a6uLgCqq6tnGUjizSk5Y4y5EfhXnNEqEb3GmE9Za++d5JhzgUvDt9PnGgOwHfi6tbY/pu77xphXgS8A/xu4Y45tiIiIiIgkXkcHXf41+BcUEPmN8OKLLwKwdOnSFAYmIpJYTz3lDHJZtMhZqSniB+ffE/7r/MkPDoXgP/8TfvQjZ34ZgKoquP562Lhxxss+HTp0CICampppH3PBBRcA8HiSEuazTowYY94K/H8TbCoBfmKMGbXWbg/v+yacS4/eA0Qu6jI4k/7OibW2YZJN9+EkZ9bMtQ0RERERkYQbHYWeHrqCxYzmLKC21qnevXs3ACtWrEhhcCIiifXoo0559tkzyKWEQvCLX8D3vw8dHU5daSlce62zet0s1+Lu7e0FYPny5bM6PhnmMmrlpnC5D7gZZyWmpcBngXcB3zHGPAn8HDgvvK8Jl53Ab4GH59D+iURONXQmsQ0RERERkdnZswdCITqowhoPK1c61fv37wfg1FNPTV1sIiIJFllCOzwAZWqhEPzmN868MgcOOHVFRXDVVfCxj4Fn9qmMQCDAkSNHAFi2bNkJ929qauK2227jySefJBgMUlhYyKZNm9iyZcusY5jIXJIz5+KMfNlkrX0qXNcMXGaM+S3wVuB3QH1429+A/wYesdb+fQ7tnpAxxg18CQgAE15eFd5vM7AZoDZyqkJERCbU1AS33eZc4js4CAUFsGkTbNnizLg/XVu3bmXr1q3A8SGlIiInpd27CVnoNBUARAbKRFZqWrMmsQPA1f+KSKp0dEBzM7jd8Pa3n2Dn3/0Obr8dGhud+wUF8KEPwSc+Abm5Ux87DS0tLYRCIQoKCsg9weM9/PDDbNy4Eb/fTzAYBODIkSPceeed/Od//ifFZg0F3oo5xwQwuzFAjmJgOCYxE+vzOKNkTgMagddZa8+11n492YmZsG8Brwe+ZK19ZbKdrLVbrbXrrbXr02kJLRGRdPPww7B2Ldx5Jxw54iyBeOSIc3/tWmf7dG3evJmGhgYaGhrSavlCEZF519jI4eBCjroKyctzRuoPDQ3R3d2Ny+Xi9NNPT2hz6n9FJFUefND5/njKKVBYOMlOTz3lzB9zww1OYiYvzzkTuGMHfOYzCUnMADQ3O2sSLV68eMr9mpqa2LhxI0NDQ/j9/rhtfr+foaEh2o4+w2gwMQtEz2XkjBvon2Tb8zirJnmAG6aYFybhjDFfAz4JbLXWfn2+2hURyVZNTc7n5NDQ+G1+v3PbuBFeeGFmI2hERE56zc20j5Yy6ltAcbFTtXPnTqy1lJaWkp+fn9r4REQS5MknnfINb5hgY18fPPPM8XW2fT647DJnWexI55hAB8KXSZWWlk6532233TYuKTOWJUTvSFNC4prLyJlJWWuDQG/47kQja5LCGPN/gC8CdwHXz1e7IiLZ7LbbnATMVPx+Z/SpiIjMQGsrHf4SRn0LiAxkiazUNJMVRERE0lkg4JzEgwkuaRoddZIyPT3g9TrLYT/8MHzta0lJzAC0tbUBUFEx9eVId9999wmTM2AZGG1LSFxJSc7EstYOJrsNAGPMl4EvAz8BrrXWznklKBERceaYmU5yZtu2+YlHRCRrdHbSGSjB71tIZaVTtWfPHgBWRmYHFhHJcE8+6YzALi6GcVNpfetbMDwMOTnwwAPOWcHq6qTG0xFe9elEyZnBwemlMkIE5hwTzO2yJoAKY0w38Pfw7dlwuWeugc2EMeZLwP8BtgFXW2tD89m+iEg2m+bn0rT3ExERnGH8R47QESwl4MuL/hbZt28fAKecckoKgxMRSZwdO5xy3BLara1wb3j9nrVrYRorJyVCZEL06hMkgQoKCqKrOk3FNee0imMuj2JxJv0tBi4CLozZNgTkAhhjrgR2ArustaNzaG9CxpgbgK8AB4DHgCuMMbG7dFprH010uyIiJ4uCAmfy3+nsJyIi0/TSSwAcdNVgcUV/k0SG269duzZVkYmIJNSkS2h/5SswMgKLFx9frm4edHd3AydesXnTpk3ceeedJ7i0yVDoW5KQuOaSnPn/2Tvz+Cjq+/8/d7ObhCSEAAlgOEM45RA5PKoiYlvBWs+obcUqHqCoXw+q1Wp/3mirKFU8QKqiWKtSFa0gqAhWxAMBI6gIARIgQAgh5NiEZDPz++OdyW6S3c3m3F3yfj4e89jdmd3Zz87OfOb9eX3eR0dgJHB89TIKGI6IMvFe73u5+rHKZrP9DGR6L6Zp7m5GGwDGVT/2ARb62L4aUHFGURSliUyZIlWZAt2XnE64/HKYPl1ez5vXNm1TFEWJWKpLxO61iVGflgZFRUUUFBQQFRXFscceG8rWKYqitAi7d8OuXeBwwFlneW1YtUrinRwOH7FOrUtBgaTHTWtAEJo5cyYLFy4MKM7YsNMlpmUqYjQ554xpmi7TNL80TfM50zSnmaZ5Ah7B5o/Ak8AqoBDxsHEAxwKXAg8D7wM7m9V6aceVpmnaAiwTmvsdiqIo7ZmZM0V8CYTTKQn1FUVRlCDJysIwYa8pOQ/S0yGzOmNmSkoK0dHRoWydoihKi7B0qTwOGuTlZW0YMGuWPD/nnFZL/OuL8vJySktLsdvt9OwZ2OMlPT2dxYsXExcXh7OOMex0OomLi6Nn/Biio+L97KFxtGhCYNM0q0zT3GSa5iLTNGeapjnRNM2uQBpwIfAA8F9gDyLY2ALsTlEURQkD0tNh8WKIi6sv0jidsn7xYi2jrSiK0iiyszlU1RGXI5EOHWRssrk61EkrNSmKcrRgldA+5RSvlc8/L+40iYlw111t2h4rr1diYiIOR8OBRJMnTyYzM5Np06YRFRVV89lp06aRmZlJgjNwUuHG0DKZaxrANM1sIBt411pns9m6IOFQiqIoSpgzebKUQHzySanKVFIisx+XXy4eMyrMKIqiNJK9e9lbkUxFdDxdqyeNt1WHOmmlJkVRjgbcbti0SZ7XhDTl58OLL8rzGTNEoGlDcnJyAOjcuXPQn0lPT2fu3LnMnTu3tZoFtEEpbX+YpllgmuYnofp+RVEUJUiysmDGDNKPT2Tus3YOm4lUTZ/B4fVZzJ2rwoyiKEqjMQzIy2NvZQqV0R3p1k1Wb9++HYDBgweHsHGKoigtw+rVUFYGyckwbFj1ygcfhNJSMSAvv7zN27Rr1y5AwkfDjZCJM4qiKEoEsGyZlDZcsEBKNpmmPC5YIOuXLQt1CxVFUSKP3bvhyBFyOYYqRww9eshqq1LTiBEjQtg4RVGUluHjj+Vx7NjqFevXy0qbDe69t05d7bbB6me7d2+5cKSWQsUZRVEUxTdZWZCRAS5X/VJNlZWyPiND3mfx2WeyKIqiKP758UcAdjukUkjPnlI95PDhwzgcDoYMGRLK1imKorQI33wjj2ecgXgM3nuvPJ55JowbF/CzrcX+/fsB6GGp4mGEijOKoiiKb2bPDlw/G2T7k0+2TXsURVGOFrZuBWCPXSqF9O3rqdTUvXv3oJJUKoqihDPZ2bBnjxSP+OUvgUWLYNs2qSTx17+GrF15eXkA9OrVK2Rt8IeKM4qiKIpvFi0KTpx59dW2aY+iKMrRQnW1kL2kAtCvH/zwww+A/0pNWVlZzJgxg8TEROx2O4mJicyYMYMsb+9FRVGUMMEqoT1kCMS5i+DZZ2XF1KnUJNoKAQUFBUB4VsVTcUZRFEXxTUlJo9+3o7gLB8vjWqlBiqIoRwm7dmGYsM+QhJQDBsDWam+adB9Z1pctW8bIkSNZsGABxcXFmKZJcXExCxYsYOTIkSzT/F+KooQZtUpoP/ooHD4MvXrBddeFtF2HDh0CoG/fviFthy9UnFEURVF8k5BQb1UWMANIRG4gicCMqCiysrIoKIANB/vwSe5QvvqqbZuqKIoSUezbR4G7E2VRHYmLg6Qk2LlzJ0C9fDNZWVlkZGTgcrmorOPNWFlZicvlIiMjQz1oFEUJGyoqYPNmef6bIdvg/fflxV13QQjDNgsLCykvL8fpdGrOGUVRFCWCmDJFAoWrWQaMBBYAxYBZ/bjA7WbkyJFce+0y3EYUHZ3locrxpiiKEv5UVMDBg+RWdqUiJoEuXWT17t27gfqVmmbPnl1PlKlLZWUlT2r+L0VRwoRPP4UjR6B7dxjw0j3gdsPJJ8PEib4/MG+eLK2MJYJ36tQJewgqRTVE+LVIURRFCQ9mzqwRZ7KADMAF1B0iVJomLpeLd97JoMrczvFdc0JRGVFRFCUy+PlnMAxynf0wbQ5SUiRBZUlJCU6nk4EDB9Z6+6JFi4ISZ17V/F+KooQJVgnt05Iy4bvvICYG7rsvpG0CyM7OBqBr164hbolv1HxWFEVRfJOeDosXQ1wcs222eqJMXUyzks7GXzmzakWbNE9RFCUi+eknAHKcklumRw/47rvvqp/3qDebWxJk/q9g36coitLarFsHNrOKs7c9JSsuvRT69Alto4A9e/YAkJycHOKW+EbFGUVRFMU/kydDZiaLHI4GxRmo5GDV+1x84FlYs6YNGqcoihKBbN8OwG5HP0DyY1qVmnwlqEzwkf/LF8G+T1EUpTXJyoJ9+6Db4Z8Z4/4KUlLg1ltD3SzAI850C2G1qECoOKMoiqIEJj2dErc7qLe6MPjarJK4YkVRFKU+1WW099ATkMnkbdu2AdC/f/96b58yZQpOr/xfvnA6nVx++eUt3FBFUZTGs3QpOCpdnFr2CdE2N/zpTxAbG+pmARJCCpCamhrilvhGxRlFURSlQYKdkY0DHutwLJp0RlEUxQ/ViX/3GFIppH9/T5LKY489tt7bZ86cGZQ4c2uYzEwritK+WbMGkvN/YmzM93DccXDuuaFuEowfD+PHc+DAAQB69+4d4gb5Rq1nRVEUpUGCmrkF+kelcNAeHrMjiqIoYUleHoYJeZVSpql/f9i7dy8AI0eOrPf29PR0Fi9eTFxcXL1+2Ol0EhcXx+LFi0lPT2/9tiuKogSgvBx2fpNHx7I8Tuz0A9x/f1Cfmz59OtOnT2+1dn322XQ++2w6BQUFgIoziqIoSgQT1Mytw0Fp3IiA71EURWnXFBZCUREFZhfKo+KJiwOXK5fS0lJiYmJ85pwBmDx5MpmZmUybNo3ExETsdjuJiYlMmzaNzMxMJk+e3MY/RFEUpT4fL3fTad8WUh15HHPxeBg8ONRNqsEwDAoLCwHfIaThgIoziqIoSoMEmrl1YCPObmfxv/5FdFR8iFqoKIoSAfz4IwA5HQZhYqdrV9i4cSMAxxxzTL1KTd6kp6czd+5cDh8+TFVVFYcPH2bu3LnqMaMoStjwzZw1xLhLGdZpN9x1V6ibU8P48XDCCeVUVlYSGxtLUlJSqJvkExVnFEVRlKDwnrl1OBIBGzHEMD2pE5kLFjD54otD3URFUZTw5uefAdgVOwCQIiY/VZfW9uc1oyiKEhHk5bHrm30AjPzj8RBmFeSKi4sBwlaYAXCEugGKoihK5JCens6kSXP59KM5DNizihd6/JVu5/0Cpk4FYHyPrSFuoaIoShiTlQVAjkPEmR49YOtW6TfVA0ZRlEhmx21PkV95KkZsHCffd2qom1OPkpISALp27RrilvhHPWcURVGUoHG7YfZs6HrgRy6MXUa3XjHw4IM12zccPMhPhYW4gyy9rSiK0q7IyQFgV1QfAHr3huzsbACGDh0asmYpiqI0i2++4duPDwE2Un4xkOjY8JMZSktLAUhJSQlxS/wTfkdNURRFCVueew6Ktu2nf/kPXJryCTz8MMTFAZCTk8O2w4fJLCggMzMzxC1VFEUJQ3JzAdhd1ROAXr0M9u2rDgPwUalJURQl7DEMuP9+1rsGUxifyknnHxPqFvnE5XIB0KNHjxC3xD8qziiKoihBkZ8Pr/zzCN3zN3N50vvEXno+nHJKzfY5c+ZgxsXRtXdvRo8eHcKWKoqihCHXXgvr1wOw1y0zt7GxuygrKyMuLo5evXqFsnWKoihNY+FCyrfl8EPlYA4mDyJci8eVlZUB0LNnzxC3xD8qziiKoihBMWsWxO/8gSGOrZwx/ADcc0/NttzcXD7++GMAhg8fHqomKoqihC8uF1RVYcR0IL8kFoCSEvEybKhSk6IoSlhSVATPP8/6ksHs7TSYY/rE0KdPqBvlm/LyckDFGUVRFCXC2bQJ1ry5h05l+7i223vYH38MHJ6c8nPmzKGyspIuXbrQvXv3ELZUURQlTDl0CIC8zgNwV9mIj4ecHCmtrZWaFEWJSB56CIqK+J99AkWd+3LCCaFukH+OHDkCQJ9wVY9QcUZRFEUJgofvKib54E+c0mEDQ2dMBK/cCPv27WP58uWAes0oiqL45fBhAHJiBwPQpQts27YNgIEDB4asWYqiKE1i82ZYuhSAj5MyABu//GXTdrVlyxY+/vhjFi5cSEVFRcu1sRrDMGr2m5aW1uL7bylUnFEURVEC8t/3DPZ/9hNxZilXjtsMt95aa/s//vEPKioqGDZsWFgnWVMURQkpxcUAZEeLOJOSIonUQSs1KYoSgdx7L1RVkTX8XHZXdicuDsaPb/xu8vLy2LRpEwUFBTz66KOMHz+eRx55hPz8/BZrqlWpKT4+nrjqQhbhiIoziqIoil/cbph/x88klB/kt50/p9vzD4BXXoS8vDyWLVsGwI033hiqZiqKooQ/1YODbGc6AD16GOzduxeAESNGhKxZiqIojWbxYvGciYnh3cF3AjB8eK2I96CZM2cOVVVVxMXFkZKSwuHDh3nllVc488wzufnmm9myZUuzm1tcLY536dKl2ftqTVScURRFUfzy3L37MHbuomtUIRffPQjS02ttf/rppzly5AhDhw5lwoQJoWmkoihKuPPZZ1BYCMAuJN9BTEw2FRUVxMfHk5qaGsrWKYqiBI/LBXPmyPPLLmPND50BOO20xu8qLy+PDz74AIDRo0ezatUqZs2axeDBg6moqGDFihVccMEF/OEPf2DlypUYhtGkJpeUlADQtWvXJn2+rVBxRlEURfFJfp7BR8/8hN2s4pLjttBhxlW1t+fn89///hdQrxlFURS/rFoF//d/YBiQnEyO+xgA3O5NAFpCW1GUyOLxx+HgQejenaKpN7N1K9hscPbZjd/Vk08+SUVFBZ07dyY1NRW73c4FF1zAu+++yyuvvMIpp5yC3W5nw4YN3HDDDUyePJlXXnkFt9vdqO9xuVwApKSkNL6RbUgTHI8URVGU9sDTGauh7Aj9O+zlrLeurRXOBDB37lzKy8sZPHgwEydOBGDevHmhaKqiKEp4snIl3HYbHDkCyckwYQL5P0lf6nJJpaZwrhyiKIpSw/TpUjp782Z5fccdrFgVjdsNffpAYx0A9+3bx9LqhMLDhg2rt33cuHGMGzeOnJwcnn/+eZYvX05OTg6PPPIIzz33HOeeey7XXnstycnJDX6XJc4cc8wxjWtkG6OeM4qiKEo9Nr/9Exu/PoINk8tnpmDvVfuOW1hYyHvvvQfA9ddfH4omKoqihDeffCIJ1I8cgRNOgAkTMLBb0U0UFv4MaKUmRVEiiHXroLISRo+Gs8/m009ldVNKaD/xxBM1BSUChXb26dOHWbNmsXr1ambMmEFKSgqFhYU1eWluvfXWBvPSlJWVAYR9CKmKM4qiKEpt3G5enLEO04Tj0ooY89dz6r3lqaeeoqysjPT0dM4666wQNFJRFCWM+egj8ZipqIATT4R//hPsdnaVdsHthvh42L8/G/A9Y6woihJ27NoF+fngdMIDD2AYsGGDbGqsKZibm8vy5csBuOWWW4L6TEJCAjfddBOrVq3ioYceqslL8+GHH3LBBRdw2WWX+c1LU15eDkDv3r0b19A2RsUZRVEUpRYfXb6QrYeSiYqyMe2NX9bbXlRUxJIlSwCYMWNGWzdPURQlvFm+HP70JxFmTjoJFiyoKWGSVSTu9507u9m/fz8AI0eODFlTFUVRgsLtho0b5fmFF0J6OpmZcOiQiM2/+EUDn8/KghkzIDER7HY+T0ujT04OY/v149RTT21UU+x2OxdddBHvvvsuL7/8MieffDJ2u53169f7zUtz5MgRANLS0hr1XW2NijOKoihKDe7/reXNJbEAnJrRg17H1c9q/8wzz+ByuUhLS2PSpElt3URFUZTwZflyuP12EWZOPhleeKFWbdkdxSLOxMRkU1lZSWJiYlD5EhRFUULKHXdAWRnExMhz4MMPZdOIEfXSEtZm2TIYOVKE6uJiik2T/1VU0KOwkAc+/VS2N5ETTzyRF198kQ8++IDzzz+fuLi4mrw0p512Go8++ii5ubk1Qo16ziiKoiiRgcvFW1M/YH9VV6K6dOKG+cfVe0tJSQn/+c9/AJg+fTr2gHdjRVGUdsTSpSLMVFbCqafC/Pm1hBnmzWP3xCsAsNslP0LPnj1D0VJFUZTg+ec/PQLKmDEQFwfAl1/KqgkTAnw2KwsyMqT8dmUlACuACmAUkHbkCGRkkFxU1Kwm9u3bl0ceeaReXpqFCxfWTCQ6nU4cjvCuh6RWtaIoigLAwT/NYsnusVREdeDSWaOIja3/nmeffZbS0lL69OnDb3/727ZvpKIoSjiydCnceacMPk47DebNqy3MVLN3rzy63SLO9OvXrw0bqSiK0kjWroV//EOeDx0KvXoBUFgI27ZJCe3JkwN8fvbsGlEGoAioziFMTUbDykp+mZnZIs31zkvz4IMPMmjQICqrv79Dhw4t8h2tiYoziqIoCnz0Ea/924HLjCXx+HQuuaL+DczlcvHWW28BcO2116rXjKIoCsB//+sRZk4/HZ5/3q+Pf3WaGVwurdSkKEqYk5sric0t0dkrefny5VBVBf36QbduAfaxaFEtcWYFUAkcB/S1VlZWctLWrS3adLvdTkbqE/MAACAASURBVEZGBkuWLOHll1+mb9++EZHfK7z9ehRFUZTWp7CQrNufY2XptRzq2Icn5vTyOa54/vnnKSkpoWfPnlx44YVt305FUZRw47334J57ZPAxYQI880zA5Av5+fLocu0EtFKToihhSkUFTJ8uLjJ9+8JTT+HtUr1qlTyeeGID+ykpqXlaBFR/jLq+1x2qqpg3b17z2uyHE088kRMbbGh4oNOeiqIo7Z277mLB9omUORIYfsFAxo2r/5by8nLeeOMNQL1mFEVRAFiyBO6+W4SZM85oUJgxDKlsYppVlJTsAbRSk6IoYcqf/yxxSwkJEqbpJcx4l9D+9a8b2E9CQs3T5YjXzCigXlper/e1Z9S6VhRFac/85z988X4+m44M4lCv4fz1fqfPt73wwgsUFRWRmprKxRdf3MaNVBRFCTPeeUc8ZtxumDgR5s5toFwJTJkCe/ZAVFQ2pllJ586dSUpKaqMGK4qiBMmCBVKKKSoK/vY38ZzxYv16OHxY9JQGHVKmTAGnk8PA6upV59R9j9MJl1/eMm2PcFScURRFaa/k5VE56zFeLjiPg53SuODKzqSm1n9beXk5//rXvwC46qqr1GtGUZT2zTvvwP/7fyLM/OpX8PTTDQozIIMZgKgoyTeT6qvDVRRFCSVr1kgIE0hY08SJ9d6yfLk8jhoVRNc3cyY4nTVeM8fjw2vG6YRbb21Ws48W1MJWFEVpr/zpT7yzeww7otKxD0z3e1988cUXKSwspHv37vz+979v2zYqiqKEE4sXe4SZX/8a5swJSpgB79QLkviyf//+rdNGRVGUppCbK2KKlUPrppt8vm3tWnk8/fQg9pmeTu6zz/KpzYZBHa8Zp1PKci9eDOnpzWv7UYKKM4qiKO2RhQspXPsji4smsb/bCP7vZrvP0tkVFRW89tprAEydOlW9ZhRFab+8+Sbcd58IM5MmwZNPBi3MAJSWyqPbnQXAoEGDWqGRiqIoTaCiAqZNExe/fv2kf/NBQQHs2CFd36RJwe36b+vX82X//hwzcCC9EhPlw4mJ8n2ZmQ3U4o4AehwjSwug1ZoURVHaG3/4A6xYwcvGjeR0Gk7/EQlkZPh+60svvURBQQEpKSlcdtllbdtORVGUcOGNN+DBB6V27OTJ8PjjjRJmwCPOVFTswOnUSk2KooQRf/oTZGVBx47w/PP4nLEDli2ThMDp6ZCc3PBus7OzWblyJW6nk3NffRXGjm3hhh9dqDijKIrSnjAM+PJLso705APbJIq69+Ppu32PMdxuN4sWLQLgiiuuwOHQW4aiKO2Q11+Hhx6S/vPss+GxxxotzBgGuFxgGBVUVOQSHW1jxIgRrdRgRVGURjBvHnz0kSQA/vvf6yUA9sYqoX3SScHtevbs2bjdbsaMGcNYFWYaRP3TFUVR2gOGIUkszzsPDh1iXsVU9nU/jgln2HyWzgZYuHAh+fn5JCcnc8UVV7RtexVFUcKB117zCDPnnNNoYcbqeidPhqIiMIwcHI4KunTpQoKWjlUUJdR8/rlUmwO47jrJNeMHw4CNG+X5WWc1vOsdO3bw6aefYrPZuO2225rf1naAijOKoihHM+XlMiMycSL85S+wbRvvlJzJf6rOJyq+A/fc4/tjbrebhQsXAjBlyhT1mlEUpf2xaBHMmiUjknPPlZKyQQoz3qLMX/4COTngcEC3bhuIiamgV69erdx4RVGUBti9WxIAu91wxhlw440B337hhbBtm6SLGTOm4d0/8cQTuN1uxo4dy+jRowGJnJoxQ/ZhpZ6ZMUPWKxrWpCiKcnSSny8xw++9B8XFsi4xkYpzLuDmWVdRbMRz7e/wWTob4LXXXuPAgQN06dKFqVOntl27FUVRwoFXXhExxjDg/PPh4YeDEmYMA5Yske43J0fWxcdDRgZs2QIbN26gvBzS0tJa+QcoiqIEoLxcPGWKiiAtDZ54osGP7N4tj6NHN9wd7tixg1WrVtXymlm2TPrCykpZQEzUBQtg4UIp2hTpuYGby1EhzthstruA0cAYIA3INk2zX0gbpSiKEgq2boVnn4WVKyXzPsAxx8Af/kDumVO45c+xFBulxERVcsstvndhGAYvvfQSAJdddhnR0dFt1HhFUZQwYOFCybtgGHDBBRLW1MBIxPKUmTcPdu2SdZYoY80ST58OxcWSDHjIkCFt8EMURVH8cPvt4q6SmAjz5/tNAOxNXp48jh/f8O4ff/xx3G43J5xwAqNGjSIrS/pDl6v+ey2xJiNDije156raR4U4A8wCCoD1QFKI26IoitL2rFkjN9d162SUADBkCEydCuecw+tv2Jl9sVQLieoYz+gT/N+HX3/9dfbv309SUhJXXXVV2/0GRVGUUDNhAnz3HfToISOF++8PKMwEI8p4U1Kym86d4dhjj22936AoihKI556Djz+WWMvHHoMgwix37xYvF5utYe+WrKwsVq9ejc1m49ZbbwVg9myPt4w/KiulgreVAqc9crSIM+mmaW4HsNlsmwDNsKYoytGP5T//8svw88+yzm6XFPrXXQcnnkhBAdwxTbQbgMGDYdSo+gMGzy4NXnzxRQD+8Ic/EBvETIqiKErE43JJqezvvpPXF18MDzzg9+3+RJlLLhFRxleu31WrrubQoU107ZqqlZoURQkNn30mHtYgnVUQbjB5eWDVhUhKkiUQs2fPpqqqqsZrBiSFVzDizKuvqjgT8VjCjKIoSrugvFzc7l9/Hfbvl3UxMXDmmZLMrTqXwdKlMrY4fBicTrjySrjlFrj+ev+7fuutt8jNzSUxMZFrr7229X+LoihKqFm1Cu67z9Ofpqf7FWYMA95+WxwVgxVlLI4cOQhAcnKyCt+KorQ9u3dLOJPbLYUiAhmE1eTlwe9/D7m54nF98smB379161Y+++wzbDYbM2fOrFlfUhJcE4N939HKUSHOKIqiRBRZWeLfuWiR3IUSEmDKFMmYHyjQ1k+SX84/X5IZdOkCyATw3XfDhx/KW/r0Ea/VkSPl9bx5vndvGAYvvPACAJdeeqkOHhRFObrw1fempUm8p9MJ3brBgAE+M6X7EmUSEsTBpiFRxqJv30McPoxWalIUpe0pL4dp0yQBcP/+0hc2QF4e/OEPIsykpMDxxzfc1z3xxBNUVVVx0kknMdIyPJHPWaZrIILpS49qTNM8qhZgE7CzCZ8zo6Kiai2jR482TdM0s7Oz622LiooyTzvtNNM0TXPt2rU+t0+aNMk0TdNcsmSJz+2XXHKJaZqmOX/+fJ/br7nmGtM0TfPRRx/1uf322283TdM0b7/9dp/bH330UdM0TfOaa67xuX3+/PmmaZrmJZdc4nP7kiVLTNM0zUmTJvncvnbtWtM0TfO0007zuT07O9s0TdMcPXq0z+0WQ4YMqbfN6XTWbE9LS6u3PTY2tmZ7ampqve3x8fE125OTk+tt79SpU832Tp061duenJxcsz0+Pr7e9tTU1JrtsbGx9banpaXVbHc6nfW2DxkypGa7r2Oj597Re+5dFBdnmnFxpul0mibULEfALAHz0sTEeudeit1uXmqzmU+B+arDYZpDhpjmGWeY4x0OM9pur7X/Y4453Rw/Xt4CC0yb7XzTbncEde7ZbDYzJibGHDdunPnjjz+2ybmnfW/7Ov+179VzL1Tnnr++1w1mBZiPO52mWVpa79yz26NMm220GR39hDlkiPStNttTps02ybTbPedgMOfeyJEjzaSkJNNms4XFuaf9b/u6BrT/befn3owZpjlkiPlCbKyZVMd29HXu2e2JJtxXbUs+Zu7caZrTpplmXJz/c+/nn382o6Kkb7F7fUenTp3M66+v1/3WW5xO03Q4nm+Vc2/atGnmtGnTWuXci4/vbQ4ZMq0xtu86048m0XBNwKMYm802zWazrbPZbOtC3RZFUY5++psmC10ucW2pE3gbDcQDLxYVyewu0LuqiqsMgwcMg4mmSQywNSpKyrt+/DFfOxxU2WwAmKYdwziX/PwbycuD7t0hKupv2O3vY7OZDbbN9AjVXHzxxcTFxbXkT6/F/Pnzefjhh6mqqmq171AURbEI1PdGAU7g+spK2Lu3Zr1pgmEch2Hcg2nOwDB6kZAgOdajo+/Gbv8Im62BBAp1KAkDf/3PPvuMqqoq7X8VqKqSRTnqOcUwpIqnw8Hr3btTXG07+sM04zGM24BewAGcztn07Sue14Hyzcyu9sax2WzY6nzHzJnioBgIpxOcznaccAawWcb40YKVENhsZCntsWPHmuvWqUajKEorMmMGLFgQOCOawyGu9U4ndOgg6+x2OOGEmiS/ddm4Ee64Q1ztbTaYNEkqvzZGX1myZAl33nkn8fHxrFq1ioQ28isdO3Ys2vcqitKqBNP3Op0wbRrXHpnLzp2yavdueUxIkJwy11/fdJf7119/nRtuuAHTNPn8888ZNmxY03bUgmj/exRTXi5Gwa5dciLv2ydLXh4cPAiHDsGWLWJzjB8v4XzDhsGYMTB0aIOl45UIYtUquOkmyTNzyy0SBh+AvDy47DI5bZKTJQq0b9+Gv2bLli1ceOGFmKbJW2+95bOPW7ZMKtlZpbMtRJSBxYsbrgTVVKZX/+55/mL7m7Vvqvcd3PttNtu3pmmO9bVNc84oiqK0FcGkqne7JbjXSodfJ8mvN4YhIcOvviq7TUqSnJZnndW4ZhmGwfPPPw/ARRdd1GbCjKIoSptgdZKBqKxkz8srWJYkKWh69GgZUQbgtddeY9asWZimSe/evcNCmFEiGJcLduyQ0fPu3eLxtX8/HDgABQUivJSWivtXQ7jd8MMPsrz3nqyLiYGePSUH3rBhUuLxuOMkG6wSWeTkyOyd2w2/+lWDwkx+vkeY6doVXnklOGEGxGvGMAxOPvlkv33c5MmQmSnlsl991ZP66/LL4dZbA6ddbC+oOKMoitJWNMalfdAgmWKoTvJbl6wsuO02TwXtU0+VpL8NlTf0xYcffsjOnTuJi4vjhhtuaPwOFEVRwpXFi4PqezdzLPNKp1PqFGeCq66CG25onAeiLxYuXMjf//53DMOgb9++jBs3rnk7VNoHu3dLicVDh8Rz9sABeV5YKOJMQ9hsUjCgc2exI1JSRHFMTZWlTx/o3Vs8a9avh++/h61bZTBfVATbt8vy0Ueyv6go+XxamnjWHHeceNk0xehQ2obychFjiotF9Xj88YBvz8+X5L+WMPPqqz7nBX2yZcsW1qxZg91ur1WhyRfp6VIqu63LZbeGx0xroOKMoihKa2IYMk3wySdi3LjdDX8mMRG++srv7hYsgGefhSNHpITrHXfI7G5TefbZZwE477zzSExMbPqOFEVRwoW8PPjzn+HLLyVEwzB8vs0EVjGBN7iUSnsMXbvCaadJtdnm8s9//pPZs2djmiYXXHABBw4cwK7hIkpdysth3Tq572dmwrZt4gGzb59sryvGREV5hJfkZFks4aVnT3F16N1bVMaGGDxYlt//3rMuNxe++UYEm59/Fi+d/HzYs0eWzz+X99lsMopPS5MJpREjYNw4n9XOlBBw662wcyd06iRl5qKj/b7VEmZ27RItrzHCDMDjjz+OYRiceuqpjfIMzMrKYvbs2SxatIiSkhISEhKYMmUKM2fOJL2dutEcFeKMzWa7HLCcrlKAaJvNdk/162zTNF8NTcvCmKaW8lWUxmIY0utv3SrnnXf885dfSpDpxImSwdbbsEhLkztEJBqyO3bIbNPatbB5s6d2YEKCzHoFwukU/04f5ObKJbpxo7weNUou4+bYQcuXLycrK4sOHTrwf//3f03fkaIoSrjw2mviN2+VyD7hBPj223qhTVXYeYNLWc3pGNg5YVQF9tEtc9uZP38+c+bMwTRNLr74Yh544IGanAdKO8YwxBZauxY2bICffhKbqO7ETXS0DKoTE8WNy9s+Sk1tXdsoNRXOO08Wi8JC8bDZuFHavH272HH5+bJ8843nvYmJ4umTlCSjfA3ja3vmzpVcMw5Hg4aiFcpkCTOLFjVOmNm8eTNffPEFdrud2267LejPLVu2jIyMDCorK6ms7puLi4tZsGABCxcuZPHixUxurQQ0YcxRIc4AVwOn11n3YPXjakDFGW98ZWMqLpbp+IULWzcbk3J04nLJjXrrVsjOlh5+716ZuczPFxcPX5SXy+LHS4SYGLm5d+0qSXJ79BDjpHdv6NdPjJQ9e0IvNObnixjzxRfw3XdilHiTkADDh0t7Zs2CsjL/+3I6ZbajDm++CX//u4w1YmIkv+U11zTfPnvuuecAOPfcc0lS92RFaR0MQ/rJAwc8yTgLCmTAc/iwPBYXSzhBSYksmZkyQJs8Wfq69HQ49liZoQ4wA9qu2b1bvGXWr5fXAwbAo49KroyRI2uJMy46MJ9p/MhQHLi5LPpNfvHmi0xvgdvGc889x9NPP41pmvzud7/j3nvvbf5OlcikqEiEmHXrYNMm8YrxFWbXvTsMHCjhQieeCMcfH5znS1uRlCQTaRMnetaVl4vNs3GjTERlZck1aHnZ7Nghto/DAaecAk89Jdeh0nwCTbJnZ0N1HkFuukmOvR8KCkSYyckRYeaVVxonzAA8+eSTGIbBaaedxtChQ4NsfhYZGRm4fIToWWJNRkYGmZmZ7c6D5qir1tRU2k21pqws6RgDxavGxYlR2M4uBiUAhiGCy7ZtcrPNyZEbcF6eDDaKigJ/Pjpa3G67dYNjjoFevaT379Wrtqts3UoCFRWB91taKp8zzdqJ76KiROR46ilJxmK5s0ttVM9r67n1Weu1v3Xe+ygpEc+fjRvl2Hh/f0yMDKDGjZOEvqNGeVSURqaqLywU93rLi3jQIAkbHjgw8KEJhk8++YQbb7yR2NhYPvroI5KTk5u/00ai1UKUiMQwJIHmli1ykVoiy+HDIrJYAovLJf1UeXlwIY3eWCENPXrUXm+3ixXdo4cI1f37S4cwdKj0qZHobdhcDEMml+bOlWMeHS3eBjfd5LPvzatM4gH+yqdMZBsDqMRJQocqplzpbLau//TTT9eEik6ZMoW77767BX5g69Au+9/W9Bw3DBFg1q4V0WLLFpmoqjvWiosTG+jYY2HsWPjFL8RGOhr44AO5zsrL62+z2eDss+Huu+Hkk9u+bUcLgexIw5B499RU+PWv4R//8LubggKJZsvJkQi5hQsbb1tu3ryZiy++GJvNxttvv83gwYOD+tyMGTNYsGBBjceML5xOJ9OmTWNuWyenaQItWa1JxZlqmi3OREqYUCPKSbZ5pqaGiJRj7E0ktNkwZBCwa5e4pb7xBnz9tQgjDockkUtIEMHDH3a7zKp4J5zr108GDQMGiCjT2AGDYcidY8cOmQXYvVvieqyKBLm5IiI21If17986s8zeA6eoKDG0xoyBCRPE0Ar0nVlZQaWqX74c7r9fdCor2mnmzJYbe1144YX8+OOPZGRk8OCDDzb8gVagXQ4OlMjC7RYRdv16z+zwrl1i0UJ98cQfDgd06CADs/h4WRIToWNHWZKSJIyhSxexlJOSpN/btk08E/fskYFeYaH/fi8mxiOCW942gwZJWMHRmk8qO1sU7O+/l9dDh8Lf/uZ7lJGVxVc3/4uHl45imTkJAzsGnntbc8u5zpkzpybp5NSpU7njjjua8ovajHbX/zZmcsTtFqHP5RJvV5dLvIDLyuSxvFyez50romxamtgrdT1j7XaxiYYMEa+Yk09uXKnqSLAjLYKZALbZ5FilpcE558hvOVqEqbYgmGMMcMYZ8OGHfm3RggLJMZOd3XRhBuCqq65i7dq1nHbaacyfPz/ozyUmJlJshfw38L7Dhw83vmFtjIozrUCzxJnGFm23Zt0PHhSvAcu1ubDQ44HgrC4X4P0YE+N57nTKBRcTU/t13UfvxeEQ4yyIi4HERLnZhAuNPcbhQDi0ubzcM4iwPFO8Y4QtV3q3W85JywulLjabGAH9+4vrrXdoUXq6LG3tfhuM0AjS3vR0jyFks8ljoNfWEuj1pk0ykHrwQbkJNmHg48/mOnBAJtysn9a7t4Q0jRrV6K/wy6pVq7j++uuJiYlhxYoVdOvWreV23gja3eBACW9cLskDsWGDeMZkZYkg4qufOXhQBJbx4z0iiyWwdO4sS9eusqSkNFz2J9hBmMslOR9+/FE+Y/XveXmBDfbERE9oaL9+Yolb4ZaR6G1jGGIJz58v97rYWJlYmj7d7++ZO1cmkrOyAuv6TXEgfuyxx3jxxRcBuOaaaxqsWBIOHDX9rzWZs3+/LPn5cn0ePCgxwZWVIoi89x5UVfnfj90uE0oOh98E0vWo6+HWsaPsY8QI8Yo5+eSm12EPBzuyMQRjl1mef5Yg43TKxNYll8BZZ0VmX9SWBGv7XnEFvPyyz02FheIxs3Nn84SZTZs2cckll2Cz2Xj33XcZ2Iid2O12gtEg7HY7VYGu2TBBxZlWYGzv3ua6e+6RDrRjR3lMTBQjy0rIFRvr+YBhiJCyfj385je+3fcsoqJkJh3EcCov939z8OfG3BLs29dwMlJvjj3W93p/58zevdKp9u8vopG1xMZ6lvh4eezQQY6x9wxiQoJnsWYSExPF6Bw1qumhWN5hKYEWb6ybg7+bhK/13p/Zvl1ihgO1uUMHcY3o1UvEEcOQR9P0vK6qkudVVZ7t1nPrsbJS/tv9+z1hRla5xdJS/99ft+0//RTYGAm3cLdIFRqr8Wdz2WxyCsTHy8T3RRfBPfe0vPNPRkYGmzdv5vzzz+eRRx5p2Z03gqNmcKBEHkVFkgdi40YROqwEl776wa5dRdAYNEhmv1u6IklLDcL27RNRaetW+T1W/q/8/NphVd62htMpj716Sf8+eLB42gwcGF45L7zZulXK1P30k7weMQIee0w6TR+43eJc8+GH8tOLigLf7hrrQPzII4/wyiuvAHDddddx8803N+bXhIyw7X/dbk+Ys+UtW1Agy6FDck8vKpKluFhsLX9/qHWuQ3A2cFKSXA82m2eC1Fqs69GaAHU4pP+Ii5Pz8ZRT5BxsCYEhEtMQNMYue/ppeOcdmYmyxhVdu0oozhVX+L2W2z3NtH1bSpgB8Q788ssvmTBhQk3+wmBRzxn/4kyY3nVDQH4+zJkT+D1RUdLJ22ziNmyFgwQSZkAG0d9/X1twcTo97s2WQGGJEiA3pspKz2Dc32Pd596L9wC+sbHuAcpOBsTyCvKV7Kyp7N/fsPueyyXVGFJTPflH6uYhCURLi2L79jXc5rIyOPfc5n9noLbb7XJede7smano3t1jiPfqJTfAO+4QYzfQf15ZKaE44RLuFuw51pLnYguRlSXjMF+niHXKlpbCvfc2r0S2P9asWcPmzZuJjo6OmEGEojSL/HwJ1/zuOxnQ79wpA7669wibTfrItDSZaT/uOJnVbU23+0AdgiXWZGQENwjr0UMW76SdIDZAVpb89p9/Fm+bnBwJDy0pERFn1y7JlWHhdIqtY+UIs0rlDhniEW1aM+TC8ubcu7d2gvnFi+V5t25iP82YAVOn+h0QFxZK8vTNm8WMKy9v2LyprJSo02Budw899BCvvfYaADfccAM33nhjY39p+8OqWLRhgwijixZJqFC/fvK/B0qa74+YGI8tnZgoIktSklSsiYmRal3BYNnsoRYmZ89u2Dsiku2yP/5Rlq1bJQvtRx+Jp9Prr8O//y1efRkZcP75mgAdpK9euDA4YQZ8/hfewkxSUvOEmU2bNvHVV181ukKTxZQpU4LKOXO5n+qlRzPqOVPN2G7dzHXnnCM3BCuOtLxcbhbWYokx4Jlt2rw5OBEjLg7WrBEDLzm5thdOW2B5h9xwA7z0UsM5Z66+Wnx/G6v+l5R4ZjIskcZ7KSuTUWdpqecYW/G8VgyvdbwrKmT54YfgjrHdLsajL7xDU3yFqFjPwbegE+w6i2DPC7td3F5tNnluPVqL9+u677HZxNKMihLvrpQUGVQcc4zEwfTuLe7rwRgYkeiFEoFtLiyUCfIHHxR7NBA2m4w5WsPmSk9Pp6CggGuvvZa///3vLf8FjSBsZ26V2oRj3gO32zNgt5aDB+VC275d7rlbt8r77HbpC7p08Rj6UVFyL+/fXzxFR42C0aPbPjdLqHPB5eXJYNQKk9q5UwYC/hK9W7nIbDb43/88E0HebfXn7VNRIUKLlVB+3z4RybxDvK2kyv6q/Fl22NlnS26ZXr38/rQtW2RGc/9+McMefVQiJ4Ixfe32wBEwAPfddx9vvPEGNpuNm2++OeJKZbdJ/1tYKN4l338vwqCVP8n7/607yWSzyR9meVNbXuxW9cbkZE+4YI8ewYUN2u0t98e3BRFo4zSrzW63JBN+800R0a3/ICFBQsf/+EcRbNoThgFLl4pYtXGjHJOffw5ufFHnGBcWSo6ZHTvkMnr5ZXGSbCpXXnklX331VZO8ZkCqNY0cOdJntSaLuLi4iKnWpGFNrUCDOWcMQ4yKwkLpQCyBJdI6+0h0kwz2GNtsMmiw2z2ChCVstDWRdl5EWnsh9AOaIDAMuZ8uXy5Vtrdvl3VNvLc2m6KiIl566SXuu+8+bDYbmzZtIrUlQzOawNiePVl3111iXKekeEqmd+ly9Maeh6PQEYi2yHtQXi6DdatamzVYt0I0rfxYltBvVUDy1W/5y59lCdrTpsnxPv74tp8o8UW4DsIKCsQW+PFHEbmys0W0KSwUe2jHjsD3DYdDvEMNw/P/BRtqa33e8oKwcvh06SL9xLBh8KtfBfz4J59IVe3SUpm3mDdPBiMtcbgNw+Dee+9l8eLF2Gw2brvtNq655prgf1uY0KLijGHIuZKZ6cnXlJMj17Mv4uNlEiktTcILO3aEhx+W/j85ueU9V8L1OvNHe7bLcnPl/rh0qSirFunp4knzu981PY9PJJCTI+rJ8uXSD4Pcv4YPl3Pz008bdYy9hZlOncRjpjnCTGZmJr/73e+w2+0sWbKkyeLJsmXLyMjIqCmd7Wm+E6fTyeLFjMvKiQAAIABJREFUi5kcTjmVAqDiTCvQ5ITAkdbZQ+QlGIvEYxxpbY609kLYCo1FRZLXYNUqSUnlfbjsdrFDP/gguH21hM1lGAZffPEFr732Gl988QUVFRXs27ePPn368N133zVv5y3A2A4dWNevX/0Ndrv8f1buqU6dxC3dbpeKWFbI5qFDMsuWlSX9mcPhSXbaoYPHa7BuqKf3etMUxQzkXPHlpVb3ua/3eHu5eb/He/3+/bB6ted7vX+v3Q7nnScegJZXnN0u/bL1OipKfqNVLt5a53TWzpfmnbfLmkhoCo29ztxuMSYPHPDkvzp40COyFBXVLjedmSmfaUpCapvNEx7sHRb8zjuBQ3kjdQIiXAZhhYUSRvT++w23x8rfYWGzeapUJSXVFly6dfNUmurVq1kC7bx5ktKiqkqcol54QXYHzR8/GobB3XffzbvvvovNZuP2229n6tSpTWpnqGmyOFNQIP3x6tWevCFVVf491Lp3lxDqQYNkgDlqVECPp1YhAiZ0aqF2mdyjP/sM/vUv+OorEYVBwtR+8Qup9jR+fPOFmnCYMHG7pU998005PtYMXlKSCNFTp4oB2chj3NLCDMAVV1zB119/zRlnnMGzzz7brH1lZWXx5JNP8uqrr1JSUkJCQgKXX345t956a0R4zFioONMKNFmcibTO3iLIUr5hQSQe40hrc6S11yIMhEbDkEnCpUslXcO2bbXHhQkJYoeedpp44Scnt43NlZ+fz6JFi3j//ffJzc2tWZ+WlkZJSQmDBw/mhRdeaNrOW5CxPXqw7re/9SR4tGbXfYU01HV9b6jCWM+ewRttrZmM3dp/VZW0OdB91yoz2pgY+4babrd7qvt5Lx06eJa4uNplnhMS5PHVV2HFisCDcCtPS2qqhKg2xq6w2p6aWvu7ExM9izWA79xZLqBu3TwhwnVn1yOxL4vEQViwbY6NFZf81FQRXXr0aNVcHoYBd94pYxyQ3KKzZ9f+yuaMHw3D4M477+T999/Hbrfz5z//mT/+8Y8t/0PaiLE9e7Lu+utrr/Tl1mlVORo4UELSDh1q2EPtxhvFrhw+PDxyhoTphI5fWqEvMwxxStm8WeYjXnjB40zYv78Umerbt5mXaGvZZYWFItK8/76EXlr3jp49oU8fyQ920klw+ukiaIS6vcGyY4ekm1ixwtO/2+3yey69VIrO1P1DgmxzYSFcdpl4bXfqJF8zdGjzmnvRRRexcuVKevXqxXvvvUdaWlrzdniUoOJMK9BkcSbSOvtIJBKPcaS1OdLa600rC42GIYfF0g2sCf+8PPj8c5k8tLxOQezSvn2lWNevfiVVNOtO/rbW+NEwDD755BNef/111q1bV+MmGhcXx+mnn84f//hHRo0aVZMXYV6wd5FWxO/MrcvlqUDmXa3DNMWaPHRIqrNYM2m+iImR3Fm9e3u8SyyvE6vyhuWZ4nB4EqFbVdPqetjU3Vb3fb68cywPGbdbLKNVqxou5TpmjCTG8E7u7p0M3tqv9+J2S5iPtXjn7WpsQnhvgo3B8875VVfk8S4z7e0tYQksKSmyviXC2CJR6IhEQSkMvX2KiuQQffedfO1118FNN/l+b1PGY4Zh8Kc//Ylly5Zht9v5y1/+wmWXXdZ6P6gN8Ou5WJe6AnBVldx7I6nCI4R+IN4YmmGXlZdL7m8rItFKI7V/f+0aJr50/ago6aK7dRPNvXdv0T4GDBBtzvJAa7DtrTkBvH49XHmleGV26lTfC7VXLxEFTz5ZPG39JXQPle3rdsPbb8Nbb4lSZrW/Sxe59195pRz0QDRwjIuKJPnv9u1yu3v55eYLMwADBw4kPz+fKVOm8PTTTzd/h0cJKs60Ak0WZyCyOvtIJRKPcaS1uZXaW1TkGWNbOTutVBLWGMpKE+QdsWFVrvSO3vB+XTeiw3ptPXc45P7ncnkqbbpcnrzUZWWeXNR1x7TeOakrK32PQbyNmrg4ub+PHy+HqCHni5a2B3Jzc1m4cCHLli3jwIEDNesHDx7MhRdeyCWXXEJsOOTW8EGT3eojcUAbKuGgvFxO/OJi2a+VuN3K3VJaWvvi8E7Y/u9/B/cdNptY/62RK6IxhKFo0CA+OgQ3URTQhVjK6UgxtnAb6IaZCJaVJZd6bq5ogw89JJ6KDX0m2PGjYRjccsstfPTRR0RFRfH//t//45LWKKXXxozt0YN1vjx/rAIJFsuXyzVzyy3iCvrss/Dii5HV/1pEkud4A3bZgfnv8P0xv2bLFhmEZ2dLvu2CAv+6WWys2Cg9e0pOPMMQJw1rDqShgktxcZKLuUcPT/2J/v3l0KWnh6D7LyiQ8Lq1a6WP3LWr9o+32aShw4dLVdczzhBPPmhdO8IwxPD96SdPovXdu8V4/OYbuf/06CGG6+jRkkdn0qQWmaQoKpJQpqws6YJffFHSdDWXhQsXcsstt2Cz2fj222/Va8YLFWdagWaJMxBZnX2kEonHONLa3EB7vXN2HjhQO2+nVWTDu1iXyxX4ntcakSQVFZ72gO8Q+MbidMpnrciQ6GhxKOjcGebMkdDnxhokzdXCDMNg6dKl/Pvf/2bjxo1UVQ80O3bsyJlnnsmVV17J4OYGFrcBTRZnwmxwGBSRKBxE2nGOsPbm58OmTbDnP2uJfv4p9lclk2emcIAUDOxUYSfKZrJn8JmY/dNrorp69JDxRe/ekmIpNbWN82eHkTi6ahXcfrvcc5KT4bnnWraoi2EY3HTTTaxcuRKHw8G9995LRkZGy31BCGlX/W+E4t6Sxe77XuDQks/IK0tkj7Mv3x0zmXUdJ1BQ5Tt8x2YT++SYY8QBo39/yTMydGjDfUVRkYRnb98uETe7d4vgY9l8gS55u12cIFNSxEbq2LHlPDaCpqhI8tR88YWINdnZ9b1Hu3eXZFQvvVTblcgf/s5jK05syxY5aNnZHgHmwAH/+963T1Sym2+WKlQtWJhh6lRYuVJEtJYSZgzD4KGHHuL1119n3759pKWlsX79+pZp8FGCijOtQLPFGUWJUAxDBgg5ORI+npvriSSxRI5AaUAawuHwRDd453a1IhzsdrnZW1EbVoSGdxSH9dyK7rAiO7w/Y90jv/lGnnt3bVYI/K9/LQaKd9SFd/RF3aVTJ3lsrZmgpmh32dnZvPzyy6xYsYKC6ngqm83GsGHDuPjii7nwwgtxhNJzoZE0eXCgQkfbEEaD8KAIw/YahlzrP/wgA5YdO2Ryd9++2rPUsZWH6XXwe7oVbcVhVJBAKT/FHkduz7GUOzsF/A67Xfor77Q83gJOnz7i6d9iAk6YhMIuXAiPPy73gsGDYf78puWW9odhGNxwww2sWrUKh8PBQw89xHnnnddyXxBi2lX/G0IMw+MxXFDgsa3qTmpZE1uW8+LmzXJu+5vAio4WnaFnTxFpBwyQ6+DYYxuuLN7U35Gb6+nHrAJulhZRVOR5r/fkW+/e4rCSkSGhUW2KywX/+x+sWSP90fbtnvvDTz8Ftw+bTSo5WBXIdu8WIzk/v+HQ6pSU+vFhgwbJ6xZU1IuKRBh4/HFp0qBBLSPMVFRUcOONN/K///0Pm81GYmIiI0aMCIucheGEijOtgIozytFISYnn5pmbK7MfVnjRwYMe4cXfOKauZ4vdLsKGL6GlbhoJK145IaFtZnTDZKzQZLKyspg9ezaLFi2qyVg/ZcoUZs6cSd++fXn33Xd588032bRpE1a/3blzZ379619zxRVXRKx7abuauQ1D4aBBIu3CCmF7S0okx8MPP3gmUffskUGLv7/c6ZS+smdPyVU1YIAMrLwHVy6XZwZ71y7pyw8cqC2gB1Oh2hJwrJntHj3EgB85EkaMaEJV8RCG7hoG3HuvfAXIwG/OnJbNO+t2u7n++uv5/PPPcTqdzJo1i3POOaflviAMaFf9rx8Mo35oc90Q57rhzhUVnuevvSan/xlnyE+1IkWtaFErQrQpwy3LBhsyxCNy9O8v1+2wYS0+vm82Lpf0fVlZ8Pe/S/8UG1tbv+jXDyZOhEsukT6vzSkvF6+azz+HBx8MLiebd061usTFidFrxXhZHfmgQfKntfIflJsr3oJLl8rxt5xyPvqo+R6EBQUFXH311fz00084nU7uuusuVq1aBYRHzsJwQsWZVqBfv7Hm3LnrSE2VmaZu3Zp/PZWXe0I+LMXcUsl9hX+UlIh7s2nKdV23IquvSq7+1kVF+X5fVJQnPMO7eIfTKYNuK2QjNrb20qGD59G7sEdsrDx3OMKjEp0vwrVd/nC75UbmcnkMAH+GQmWlvM8y1K2cLtZ5VlYW3HfGxHhmXa2qpt27y72me3f5rrfeEkM4XI9hJI57LZYtW0ZGRgaVlZU1SXwBHA4HNpuNtLQ07NUdkt1uZ9SoUVxyySX85je/iSgvGV+0q5wzkSZ0WGj+rBoqKiTB5rZtnpnjnBwRvgsL/Q/AOnb0VIju319mj4cNk8JcLWG7ews4u3d7RCF/Ao4v4T0lRSZ209MlDGHECJmFD9i+EITuFhXJ5f/tt2LbXH21fF1LjoHcbjfTpk1j7dq1OJ1O/va3vzE5nM7xFuJo7H8NQ67Lb78Vm3rRIrk+0tPFiaeysraXbjD5zgMRbHh2dLTHfo6L83joduwoS6dOHvG0UyfJ6/LYY/Lef/6zeW0MJS4XLFki3fLGjZ5TxmaTvvCXvxShpgUje4InmPMYpHMcO1b+5D59pONOTxcBpiVd9RrBli1yaa1eLc23ciTm58uYobl2+o4dO7j66qvZu3cv8fHxPPHEE4wfP77lf8hRgoozrUCHDmPNfv08Nyi73RPW4O0qnJwsnauVV7GuG6KVdLS8vOFr3ReNycFh5dYoKpKbS0O5NVqzUqzLJQZqXSxRaMIE6YStG5Ml9Fgij1W1NS5OblLWjcvyzmjq+LM5Nro1m+KdM9N7NsSaEbEe6yaW9Z6Bsb7fCsnxXkpL5b+xErg1NkdKoP81Kkr2ZXm2WBVo67q7Jya2zjFsSyJ1Ii8rK4uRI0fiCjBgt9lsjB49mosuuogrrriC1JBYMa1DkwcHKnS0LUdZ/qxAFBV5Ugjs3CneKpbXYWGhZzDnS+BITpa+1RI5hgwRLxh/xUKC/SktMcHgcnnEpN275bdlZcnz/HzfwpLTKaJS374iKA0dKvlge/Vq+u8JRHl57TZaFWasfBeHDsn/AtKm+++Hlo4ycrvdXH311Xz99ddER0fz+OOP86tf/aplvyRMiPT+1+0WAWbDBo/H2q5dgYVIX/grSOC9WIUGvIsOREdLxIzDIQKD5U3cpYvH7uraNfR50sOFoiJ45x348EP53yynFZtNdA5LqGkzvSNMzuPG8NVXko973TrPvSg52RPS3xJmxdq1a7n55pspLi6mW7duzJ8/PyJyGIYSFWdageTkseYpp6yr8Wjx53FQt5MPJJD4EyC8c1l4597o3FkeHQ5PFVarAqv3a8OQm8Ff/+oZ4FtYN5W//EWSf3tXdDVNuWj9uW5WVtYWEyzXTW9F1nvxFhd27AjssmmzidDcVJdj64ZZ1xvI2rev5cgRTyZ6f9jtUvI4Ls7jseL9W1vi8ghkGJSUyAynr++x2eRe0KWL76pF3oZC584i7Fvu8Zbw0lyPyki6b0VqCPx1113HggULahL6+iIqKorp06fzzDPPtGHL2oYmDw5AhQ6lSdQtolE3h2OgaiU2m9zjU1I8yTYHDRIBZtCglg2rgbY7xV0uGeBu3izC1I4dcm/yziHhTXy8J8+FleOiUyd44QX/IpK38JKb60nb4C28NFQpBuR/io+H//5XhKLmUjekFMDpdNK/f3+eeeYZJk6c2PwvCVOC7X99DjzauP8tKZEKyt99J+GD27fLeeRrIrRDB08i3G+/FRvpoYc83uGW57flRR5OoUEtRbh7jW/YILe8NWvE/rbGT8nJYneedZacXkGV7m4OEWBHGIYIWgsWyLkPnvHLeedJZaaWstP/85//8MADD1BRUcGAAQN46aWXSG7O7EI7QcWZVqBuzpnycjFM9u71JEjNyxMD4sgR8ejYv1+uWcOoPdiz1PQ334Tf/Kbl2xpuA+brrxeXy0CeQlFRUtHmt7/1eBZZHidHjsijFcJTN663slL+B2ic18++fZ6KPYFI8kp2X3f/3rMkdcPBrPCvmBjfYWB1w7+sEDJr2b8fLroocOhRqIWPMPZcrkckec7s2LGDZcuWsWbNGv79739jBOFXnZiYyOFQN7wVaJY4Ayp0KBiG3CssL0crgXlpqazLyfEkPLfCPwMlN3c4PJ6GltCdlibiy4ABrZNo0xfhcK/Py/OINpYnUW5u/ePnb6LBmixJTxc7oCEs8cvyOLASG/fsKUtamjy2lBeCv5BSgNjYWN5+++2jMpzJwlf/m5cH338vIp0lXn7+uVxj/ft7vJwTEqAbeQz8+b/02/IhHY8UEBtrYE44E6ZMIem4vjV56BorWublwddfe9qxc6es8zVk6dzZI5IOHw5jxrRcuGAwhKMIEu56g7/2WZOuPXt6ijEMGyZCzQUX1LbXW5QwtSPcbnjjDUl8vmuXrIuOlpw9N94oTWtJO33OnDnMnz8f0zQ56aSTeO6554htdDKy9omKM61AYxMCh9JoCrcBc2sPiq3wIutYW55A3ovlUQQeT6MxY4JLkhgfD8uXi4gSH1+7ck9ruqGG2//oi0gSPML5eLpcLlauXMnKlSvZsGED+yx3KuCnIKsF2O32gN41kUqzxRklbLC8Dy3vTMtT03r09tC0Hi0R3js81BLwrc9YIr73++t6OfrTN/15LsbEyD36wAERbioq5B5w4YXilRoOHtzh2qcZhnjWbNwos7gbNsC77wb2UrXySyQn1xdeUlMlTKpvXxHC2ir8I5iQ0ri4ODIzM0k/SoXeAQPGMm3aOnbskOtg/37fdlNzw+Kt680SdeLjxW6wcq1YyUwHDpR2+LIn7HY5Z/r1k/C64cMlDUiIUn4A4SmChIOoG4hg2hcdDaecIuedNUx1OiUP1uTJcP75ch4drbhcUmnpjTdkMgHkmvntb2VC3Pucbwk73TAMbr/9dpYuXQpARkYG999/f02uQ6VhVJxpBRorzoTSaAq3AXO4hpOEa7sswu1/9EW4H0NvwskgMQyDH3/8keXLl/PFF1/w888/15qVjY6OZujQoZxyyincddddlAahIh6tnjM9e47lzjvX1SSj7trVk5Q6MTH42c+KCk8i7OJiCcfwTrpueVFYJUq980aVl4urvGGI0e/tLeftNWclT7e85ZxO/95z1vr4eE+y9Y4dZeYvXNzoDUMMP8sztKBAvEO9E9hbx9G73H3dsvdWWfu6fUUwedFaKhealezel5djly6ewb+Vw3HDBsltEE6DqrpEwj0CgrOHHA649lrJlRAunHfeebz//vsEsoOdTifTpk1jbqhdQ1uJDh3G4p1vEXyXZ377bRkMP/igp5+wKj5ai9XvlpR4Cl1YfWxDdkTdfsDplO+3SkMff7wsbeW1FgzhZHN4E66irkVj2nfHHdIXf/yxCMIW0dES0njmmZKnprXS8LW1V1R+vvSR77/vCfHs0gUuvhiuuca3INVcO72kpIRp06axYcMG7HY7N998M9OmTWveD2mHqDjTCjRWnAml0RRuA+ZwNSDDtV0W4fY/+iLcj2FdQjmLVVRUxIoVK1i9ejXr16+noKCg1vbU1FTGjBnDmWeeyemnn17jKjpjxgwWLFhQz6Xem6N5gOBrcGBhlW63PNosJ6MhQ+rnzAqmGmYgGisSNCchu93uuzKedwU8K3TA25uvY0d5TEz05CyznoMMkKwcHlYej8LC2pUC6w6egumDgj02NpsMwu12EcG2b6/vTWEliT/hBDGorWvTErjqVgb0DhG1Zt29j0tiorxuTNhEuA6q6hIJ9wiIvPvEpk2bmDVrFm+88Ua7DikFSEoay+WXr6sJ2xs2TETMhsTjxgxaDcMj6OTnS39UUCDnwqFDcu78979yDc+cKfkShwwJ7EEVDqFE4SqChPv12NT27dghVUM/+US8q7zvSz17inh36qki2LSEV01b2pPZ2XKOfPSRJ2S0Z0+JrLrsssDXQnP+79zcXK666iqys7OJjY3l4Ycf5uyzz276D2nHqDjTCjRWnAml0RRuHW+43qDCtV0W4fY/+iLcj6Ev2ip02DAMvv32W1asWMHXX39NVlZWrbCjuLg4hg8fzimnnMKkSZPo06ePn/a2b9f6Hj3Gcv7562q8XFwuT0W0uuedtzHmSxzp0kUMmqQkGex7D+4tDxbvsEXvUqaJiSIKWOE0ViiNFWJjheuUlUmViddf9yRct/AWHrp08XibVFRI3gTDkBnp5pZurcuePR6BqrEV37zFL+9yrnU9mRISPIKS96N3Uk3LgAx38SNS+rVIuEdA5IhIOTk5PProo6xevRrDMNp9SCk0Law01KE8of5+i3C9Putfj1XAkeqlwut5OYsWZdKvXz9OPPFEHG0UT9gS/cWWLfI/r1snubC8J2ccDvH4GjsWzjhD8l029qe11T1s40Z45hlYu9bzWwcPFi+Zs88OzsO2qfezzMxMrr/+egoKCujcuTPPPvsso1oiw3o7RcWZViCSPGfCzbAMV0M8XNtlEW7/oy+aegwNw8DtdlNeXk55eTkVFRWUlZVRUVHBkSNHapbKyko6dOhAXFwc8fHxxMfHk5CQQEJCQosZCnUrcSQkJDBlyhRmzpxZI3a43W7y8/M5ePAghw4d4uDBgxQWFlJYWMjhw4cpLi7m8OHDlJSUUFpaSklJCZmZmbjdbnpUuxPYbDb69u3LuHHj+OUvf8kvfvGLoH+Dv6SUTqcTp9PJ4sWLj9qklIEGB+XlMtOan+9xo3c6pWTqQw/Vr1bXFsZ5S/Qr5eUiKh0+LEtJiby2ktm6XB7PFkuosvKx1K22d/CgJMusi80moT6/+Y3MKHbpQk1yTquyW7duLV9dCMK/bwu3QZXb7WbXrl1kZ2ezZ88ecnNz2bdvHx98kMTWrUMxjL5AH6AbYKv12VDfIyD8jmddCgsLeeyxx3j//feprKzEbrczfvz4WtWZAnE0e840VpwJtV0V6u/3pjVFyYqKipo+Yf/+/ZSWllJWVkZpaSkul4uysjLKy8spKyureW7ZVStXjsMwqvAIMb6/3G53k5j4NgBpaWkMGjSIMWPGMGHCBMaMGdNq+UZaur9wuWDVKli9WsJVd++u/b/ExorgccIJEgI1fHjDokdr3cMMQ9qXmSleX999J+ttNvEYu/56ybXTGJpyTSxfvpy77rqLsrIyevfuzYsvvkivXr0a98VKLVScaQUiKedMON2cLMJlJiNS2gVt/z8ahkF5eTlFRUUcPnyYoqIiiouLKS4upqSkpJbw4G0EbN8ex2efDcQwqqpj8yuBKmy2Cmy2SgYP/o6OHfOoqqrC7XZTVVVFVVVVwDh+Cysxbg8f8RIOh6NGnIiOjq5ZYmJiiI2NJSYmpua5tXTo0KFmiY+PZ8OGDcydOxe3213Lfd1ms2Gz2Rg0aBAxMTEcCVS65f+3d+9xUpR3vsc/v+65MQzDxeHOwCAqFwW8BK94Q83qOa7RqFE38ZIc9eiyeqIxm7DRbHY9m6ybGLNqzDmaRLMQX0Gyye7GFc3rxEVBEi8oeAVk5DqCMMIAM8Mwl37OH9XV9DQ9w1y6p6q7v+/Xq141011V/XRV16+qfvU8T3VT9uLiYj73uc9x9tlnc/HFFzOqHz0T1tbW8tBDD7Fw4cJEEun666/nrrvuyssaM75cuzgIU+Ih6HXRlbBfrA9kTY+Wlha2bt3Kli1b2LZtGx9//DE7d+5k586diWTw/v3708bLurr97N//Z4Cf5C0FqvESNROBagYNGsM77xQF2vwqTPtEstbWVh577DEWLVqU6NfrxBNPZMGCBcyaNavgm5RC7+Nv0Ns66M9P1tc419zczMaNG9m2bRvbtm1j+/bt7Ny5k127diViQlNTE865bs+RurJjxzE0NIwB/AxEBCgByuLjUsyKqKnZjdm/0tTUxPDhwzstY/DgwUydOpU5c+Zw3nnnMWvWrIwla7K9DXfu9JoHvfKK97Qvv0NdX2Wl17HwGWfARRd5T/pK1ddtG4t5n19b6zXD2rzZe7rdjh1eU+OGBu97+7WAJ0yAs8+G+fO9JoV91ZtrnZ/97Gc89NBDdHR0MHv2bB5//HEqKyv7/uECKDmTFRMmTHB33303kUgEMyMajab9u6ioCDOjvr6MBQuOprW1GO9OVuSwcWmp46c//YQJE2KJ+YqKiohEIollpr5eVFRENBrtdDFaVFRESUlJp8AYxqRDSJ9EF9pygbcdr7wyRltbB+3tHXiJjzai0VaKi1u5//5PmD27gYMHDyZqoSTXRvHvlPh3Uvy7K/4dldRpe9K+Ppl/YnDUUTV8+ukE9u0bRSwWJRLpoLJyJ0cdtY3i4pa08/q/8+TfdvIQjUaJRqO0t7fT2tqaGPzaI/2NTXV1dew/wtHVzJg8eXIiyeMndfxhyJAhDBkyhKFDhzJ06FCGDRvGiBEjGD58OFVVVUyZMkW92fdTrl0chCnxEPS66ErYm7lkYhu2trbS0NDArl27Ol1kffLJJ+zatYvdu3ezZ8+eHtXMMDMGDx7M8OHDOeqooxg5ciSjR4+mqqqKZcv2s2RJCR0dW4F9SXPFMHNMnLie444rY8qUKcyYMYOTTjqJk08+mfIB7Dk1bEnCWCzGokWLeOKJJ6iPX5lNnjyZe+65h3nz5iWmK/QmpdD7+Bt0/Av685MdHn8d0ALsiQ8NRCKfMn36OqZNe5U9e/bQ0NDQ7e/NZ2YMGTKEuro6SktLOeecczrdgCovLz/sfKW8vJyKigp2767kmmvGc+BAKV5CN0pqjbvU/fHDDz/kxRdf5NVXX+X9998/rKZYRUUFM2bMYM6cOZx//vlMnz69z+c+Ax0vPvzQ61D4T3+C9947/GlkY8bKOqYaAAAgAElEQVR4nQufdZZXs2bYsJ4fw8zgjjtg+/ZDNXxbW7ufp7zc6xtu5Eiv499MVVg50rVOLBbj/vvv51e/+hUAF198Md///vcHrDlbvlNyJgsGDRrkampqjjhdcha7sXEEdXXTcc5Pyvi8k6bx4z+gomJ32uX0ZPmpkpM6kUiEtrbB7Nw5ifr6ccRiJUSjMGZMPTU1HzNkSFvi4tcf/Ivk5G3unEv8n3zhnvy6/39P3vPLmZzYMrNE2f2/k9/zx42Njbz11lusX7+e1tZWSkpKmDFjBqeddhpHHXVU2vn819Il0lJfS/781PcikQjt7e20t7dTV1fHCy+8wKuvvsrBgwcpLS1l9uzZnH766VRWViamSzf4tUeSa5D4/7e1tSXGbW1tifeam6PdJj5aW1vZvXs3+/btIxaLEYlEqKysZMSIEZSUlPTqzoqf6EutdZJ8sE9tYjRo0CBKS0sT8xUXFzNo0CCKi4vZuXMnTz/9NM8++yxNTU0MHjyY6667jq997WtM7cezaP1aPn5tnuShubmZ5ubmRCIqdfATUsuXL6e2trbbJE9RURE33HADTzzxhJIsAcm1i4MwJR6CXhfdfV6YyhWLxRLJlL179/I3fwP//u9ROjoO9b2QOjZr5phjNnHCCe9y4MCBRIL84MGDtLa20t7e3qPYa2ZUVlYyfPhwRowYwahRoxg9ejTjxo1jwoQJVFdXU11dneggPB3/pPsXv9hHY+MWSks3MnHiG1RWrqSpadth00ciEUaNGsXkyZOZPn06J554InPmzGHYsGH9WY3dSn/DqBazB3FuEWbpm5Rm2gsvvMAPf/hDtmzZAsDIkSOZP38+V199ddoYX8hNSqH38Tfo+NeXz4/FYjQ2NiZuWvk3s5L3a7/ZtX/+4O/nyX/7TbH9/3fvjvL738+moyOGlzhtwIsfh5h1cPTRqzrdxIpGo4mYUFVVxahRoxg1ahTjxo1j/PjxTJo0ierq6n5dNPflBm5qE/DS0lImTpxISUkJ7Sk97g8dOjRxfj5v3jyOPfbYrJcvE2IxWLXK61T49de9xE3y50ciXofYf/jDkZMs/vTHHdf5tdJSr6+2kSNh7Fiv4/tJk+Doo72nj2UxDHeppaWFO+64gxUrVmBmfPnLX+brX//6wBckjyk5kwWjR49211xzDc65RJOM1HEsFjvs/337Slm/fhybN4+kvT1CUVEbEybsoKZmC+XlzYl5Ghsb2bx5M9u3b6ejo4NoNMqoUaMYP348paWlieUlDx0dHZ3GyY50wZ5OX6pH9kZ/lt/Y2EhdXV3aC2kzo7y8nOLi4qyXvaKiottyjB8/nopedgPfk/XiJ8/8wT8xbGho4O233078jpLLEo1G+fM//3OmTZuWuGNSXl6eqO1RUVFBZWVlouZHZWVltxcAvRX2k9rKysoj1pzxp8vX/gRyQa5dHIQp8RD0uujKQNToicVi1NfXs23bNnbs2MH27dsTzQLq6+vZs2dPovlmS0tLp2NoW1sZH310Cs5Fu1x+uouqzu8bpaWlDBo0KO1FVnV1NZMmTWL8+PFZuTPpX0gtXLiQpqYmSkpKmDx5MkOHDmXfvn1pj2FVVVWJviVmzZrFySefzLhx4zKWmE6+c7t//1KcuwqzNpzL/vHhzTff5Hvf+x7vvvsu4B3Lb7jhBm6//fYjrv9CbVIKuZUcj8ViDB3aSmNjM9DU7RCNNjB37u9pbGyktrYWyM65b2PjCLZtm4ZXMyWK12xoOGZDiUSG8vnP13PmmWWdYsKYMWMG5GZQb2qNH+l87oEHHqC9vZ3XX3+dtWvXHlb7Z8SIERx//PGcdtppXHjhhUyaNCmj5cuWlhZYvtzrs+bNN72nQMVi3pMGj5ScMfP6r7nuOq9p1NFHe+WuqupZR74Dpb6+nptvvpl169ZRXFzMvffeyxe+8IWgi5V3lJzJgt72OdMbmbiI9TtYbW1tZenSpdx4442Jmhg+/8L+/vvv5+STT07UzvA/1//fzKvemHxw8GuS+Hbu3Mnvfvc7li9fTktLC2VlZZxzzjlcfvnljB07FiBRCyV5GemSSn4NknSv+W1qH3jgAVq7iYTFxcXccsstDBs2rFOCLF3y7Ejvp479v5uamli6dGm3T2UoLi7m9ttvZ9SoURQXFycSKckJleS//cE/iffHfg2V8vJyysrK0h6ow1zlOsxl86XWEutuunx9EkcuyKWLAwhXU6IhQzpobGzD6/ixA+/CoASvj5JD8Xyga870p9p6c3MzdXV11NXVJfpiqK+vT3TYvXfv3kTn3D3Zb/3kuH8jpKSkhLKyMvbvH8fq1ScTiw3CuUF4/TGUEomUEI2WcMstn3DGGcb+/ftZunQpL774Is3NzYnagV//+td7fbc4U450TrFw4UKqqqp46623WLt2LbW1tWzfvr3T+YK/XiZNmkRVVRVjxoyhurqaiRMncswxx3DcccdRXV3dp4vIgTw+bNy4ke9+97u88sorOOcoKSnhiiuu4O6771Y/Cj0wdepUFi9eTFVVFVVVVUe8gdOX+BeLxTrVePUHvxaLP+zbty9Ru83viH///v2JvvBaWlrYtq0mpT+VdGIMG7aDMWM2AN5v3W/CnHoDzK9N7Pdtl9rHXXJNYz92JPd7V1ZWxqefDub55yfx/PPjaGwcxJAhkV4nGXry4IJs6e3+6j+pctmyZaxatYp169bR0tI5iT1y5EhOOOEETj/9dC688ELGjRvXp3IN9DrZvdtrAvWf/wm//GX3NzWCfKBIT9TW1vLtb3+bxYsX09HRQSQS4bLLLuMHP/hB3iedg6DkTBZkKzmT6ZOUgTjpGegaEWHplC8s5QhreZKFuWw+1ZzJDaNGjeK6665LNL/0myD6zRD9/on813/722pee62KWMw/OU9uS+8nnmOcfvqnXHnloSYfXV1kJielU5tEpmsOuWtXKd/61hRaW/0EiN/PmCX+Ly11PPbYx4wf35FYBkBbW1viQiRdc7zkvqWSn2qWrk+mtrY26uomd3GhYkAxfqJm7NhPOf74zYlEcfLgN21sbm7mjTfeYPXq1Rw8eDCRkL/qqquYMmUKzrm0ZfD/95ts+k1+PvignGeeqYnXBHV4yaN2zNqIRNo555x3GT16Z+Kpbv7FWOpJfnfKysoSNQP9/lqqqqoSfbaMGzeOsWPHdnnReaQ7t2GsHdjXc4DW1lbWrFnDm2++yXvvvceGDRvYvn17t+u7uLg4kbiZMGECEydOZMqUKUybNo1JkyZ1uU8NxPGhvr6ef/qnf+L5559PPIHpggsu4Jvf/GafLgQL1aBBg0hu0l9SUpLoy8SviVtZWckf//hHioqKOPXUy/jpT6fG+8hrxesnL3ncSiRygBNOWElR0f7D9p2u9LTmdSw2hA8/PAfnKoHB8aECKI+PB1NSUsbjj+9j5syhiRptvak1PNBJgaDjTH/31/b2dl599VVefvllVq1axYcffkhra2unbTpmzBhmzZrFWWedxbx586iqquq2TEGvE68M4evbs6eWLl3K5z//+cPie1hqtucjJWeyIFvJmUyfpGT7pCeIGhFhuYgOSznCWp7Uzwxr2Xy5kECSwy8OurNjxw46OgbT2Hhxr5qk9KQZaG+aZTY0lLNjRzNQi3dRUgwcC5yA2ZC0/Y31Zvk9bbba1jaIjz46I17zI4p/cQSHakgcqXkOZK9ZaVtb2RE7Ek9eL62trYnmSLGY15H+cccdx7nnnsvUqVMZNWoUY8eOZezYsX1qYtobYa0dmMm45jcNW7t2LR9++CGbN29m69at7Nixg127diWecJROUVERRx11FGPGjGHcuHFMmjSJKVOmcOyxxzJnzpweHR8qKip46aWXEjUqWlpaEsnL5L5A0iUu33333cS2OeWUU1iwYAHH9+dxJwVq6NChzJ49O5Ew7uqhAf3tbzH16YvJ49LSUlavXk1xcTGXXnppovN9v58mv1bP6NGjKS8vz+pF80AnBcIQZzJ9Ptfa2srKlSt5+eWXeeutt6itre20Ls2M6upqZs+ezdy5cznvvPM61XILwzo5VJbgm171Vm1tLccff3y3TyENumZ7PlJyJguylZzJdNDL9kVxEBe0YWl+EpZyhLU8qZ8Z1rL5wnSAl65VV1dz5513Jpo6pmv66Hew7TdB3LRpGM89N5WODnDu0MWBWYxo1HHxxWupqWkAYPPmzSxdujTRl9ehab1+mz772c8m2sf7v+nkZpGpzSC3bt3K8uXLD+sHCiKYRTjxxDOZOHF4p2X4Q1cdcid3zL1x40Z+/vOfJ76/z6+O/5Of/IRLL72UiooKSkpKeOGFSJoLlRhFRd4T3x5+eDef+UxDp860/YvgAwcOsHXrVh588MFuY340GuWss86isrLysL6x0vWXlfpktuSLsXQXaeXl5dTW1vKNb3wjUQPHF9SdvrAmdwcyMV5fX8+6deuora1NPPq3rq6OXbt2dfsUqrVr1/b4M6ZNm9brcvmJgrlz5/KNb3yDuXPn9noZ4kluVur1o7gv8bQx/7HOe/bs4Re/+AXt7e1cfvnllJaW0tQ0lOXLx/Pqq6NoaRlEeXkRF17YyvXXtzNt2qBOtW8qKioy3sdKNi6agzhnCEOcyfb5nP+ABj9Zs2nTpk7LiUaj1NTUcNJJJ3HOOefw61//mieffDJ0sTdZkM3QutLc3MwLL7zAV77yFRoaGrqdNuj1l4+UnMmCbCVnMh30sh1Eg6gREZZaGGEpR1jLk/qZYS1bsjBUjZXu9bbPGV9PTs5zrVlpX5ffnwuVMFwchDGRGtYYF5bEeENDA+vWrWPDhg1s3LiRLVu2JPoIeuONN7qsgZEsGo0yd+7cTsm71P49ysrKEk1tkvtsq6mp4fzzz9dT9vqpr/G3pzJ9EZvNi+IgYmEY4sxAl2Hfvn0sW7aMFStWsGbNGrZu3doppq1fv75H8SOo88swnVdu2bKFZ599lpdffpn333+ftra2HifHgz4/L3TdJWcOu7NXqMMpp5zismHIkCEOOOJQWVkZyPJSmVmPlh+JRPq0/HRuv/12V1xc3O3nFRcXu/nz52fsM8NcjrCWJ1fKlmrDhg1u/vz5rrKy0kUiEVdZWenmz5/vNmzYEHTRxDmXrdjrXOZ/p9n+3QexX2X7mNITYYwnQRwLeyIM2+tIbr75ZldUVBSq7SnpZTP+Pvfcc668vPywfbu4uNiVl5e75557LtDlpQpi3wpDnAk6/u7atcstXrzYffWrX3Xnn39+j9ZHELHXOe98sry8vNtylZeXZ+38sqOjw61cudLdd9997qKLLnLTpk3rNFxwwQWhXn9yCPCG6yInEXhSJCxDtg5QuXZxEMTBKehgF7ZyhLU8uVI2yS3ZvDjIteR4oV4chDHhEMYyORf8hVRP6PiQO7IVfzP9GxiI31QQsTAMcSZs+2tFRUWP1klZWZlbuXKla2pqGpByORdM/G1qanJLlixxt99+uzv11FM7JWNmzpzprrrqKvfwww+7jz76yDkXjt+UHBlKzgSXnMm1A1RQJ37ZviOSa+UIa3lypWySO7KZnMn0yXa2T94L9eIgDAmiVGFNgoTtQqorOj7kBt2YPCSIWBiWOBOm/bUn6wRwJSUlbtiwYW769Olu7ty57tprr3ULFixwTz31lFu1apU7cOBAxss2UL+RTZs2uUceecRdffXVbubMmZ0SMqeeeqq77bbb3JIlS9z+/fsPmzcsvynpHkrOBJeccS63qnYGeeIXluYnYSlHWMuTK2WT3KCaMwO3/HTCcCIXhgRRqjAnQcJ0IdUdHR/CT036DwkiFoYpzoRlf+3JOikpKXFXXHGFO/fcc92MGTMOa94zbdo0N2PGDHfuuee6L37xi+6+++5zixYtcu+8845ra2vrc9mydSOho6PDrVixwt17773uwgsvPOy7XHTRRe6+++5zK1ascB0dHf1ef2FI4Bc6JWcCTs44l/mgl80gmisnfiKS+9TnzMAtP50wnMiFIUGUTpiPhWG5kJLclq34m2u1Fp0LLhaGOc4EpTfr5MCBA+711193Tz31lFuwYIG75ppr3Ny5c9306dPTJm1OOOEEN2/ePHfTTTe5v/u7v3NLlixxa9euPWLSw7nMJgn379/vFi9e7G677TY3Z86cw5orXXPNNe6RRx5xmzZtyur6k2B0l5zR05risvW0plxVW1vLQw89xMKFCxM94l9//fXcddddeuywiGRMNp8WUihPa+qvoJ8+EcanNfl0LJR8lq34m+knAA3UE4WCioWKM4fr7zppbGxkzZo1fPDBB6xbt46NGzdSV1fX5WOmi4uLGTNmDJMmTeLoo4+mpqaGWCxGe3t74vfw9NNPs3Llym6fJhWJRJg+fTpnnnkm7e3tdHR0dBrHYjEOHjzI1q1bO/3Ghg4dysknn8wFF1zAJZdcQnl5ee9XWhL9psJNj9LuASVnREQGXrYf5Zrpk+1sn7wX6sVB0AkikUKUrfib6cdSD+RjroOOhZJdDQ0NrF69mg8++ID169ezadMm6urqOiX/duzYAcCYMWM6zdva2srGjRvp7trZzJg8eTIlJSVdTuMv/9RTT+WMM87gkksuYc6cOUQikf58NckhSs70gJIzIiIDL9vJGcj8yXa2T94L9eKgUL+3SFCyFX9zrdaiyM6dO1mzZg3vv/8+GzZsYNeuXUQiEYqKiohGoxQVFVFUVERdXR1Lly4lFot1qkETiUSIRqPccMMNzJw5k+Li4sR8/k2G5GHWrFlMmDAhwG8sQVJypgeUnBERGXgDkZwREZHDZTP+5lqtRZGe0o0E6a/ukjOqPyUiIiIiIhlzySWX8Pbbb3PrrbdSWVlJJBKhsrKSW2+9lbfffrvXiZRML0+kr6ZMmcKjjz7K3r176ejoYO/evTz66KNKzEhGqOZMnGrOiIgMPNWcEREJhuKviMjAU80ZEREREREREZGQUnJGRERERERERCRASs6IiIiIiIiIiARIyRkRERERERERkQApOSMiIiIiIiIiEiAlZ0REREREREREAqTkjIiIiIiIiIhIgJScEREREREREREJUF4kZ8wsYmZ3mdlaM2sxs61m9qCZDQ66bCIiIiIiIiIi3cmL5AzwEPBD4H3gDmAJcCfwOzPLl+8oIiIiIiIiInmoKOgC9JeZHY+XkPmNc+7KpNc3Ag8D1wJPB1Q8EREREREREZFu5UOtkusAA36U8voTQDPwpQEvkYiIiIiIiIhID+VDcmYOEANeS37ROdcCrI6/LyIiIiIiIiISSvmQnBkH1DvnDqZ5rw6oMrOSAS6TiIiIiIiIiEiP5HyfM0A5kC4xA9CSNE1r6ptmditwqz+tmb2XgfIMBfYGMH9v5+vN9FVAfa9LVDj6u80HShDlzPZnZmr52m8HVhUwMv53uZmtytBytR0Li2JvcJ+byWVrvx1Y+RR/C3UbhoHib3Cfm+vxN5vz5Mp+O6nLd5xzOT0A7wCfdPHeM4ADSnqwnMczVJ5+Laev8/d2vt5MD7wR9HYO85Cp304+ljPbn6n9tttpc2K/zeRvRNuxsAbF3uA+V/vtEafNif0217ejtmFwg+JvcJ9baPttb+bJh/02H5o1fYzXdKk0zXvj8Zo8HVZrJo3fZag8/V1OX+fv7XyZ+r6SO+syiHJm+zO13+a+TH4nbcfCkivrMahyZvNztd/mh1zfjtqGwcmVdan4m91lDcR+29d5cpLFs0w5y8z+N/At4Bzn3PKk18uAT4GXnXOXBFW+fGBmbzjnPhN0OUSk57Tf5gdtR5Hco/0292kbiuSefNhv86HmzGK8pktfTXn9Fry+Zn454CXKP48HXQAR6TXtt/lB21Ek92i/zX3ahiK5J+f325yvOQNgZo8AfwX8FngOmA7cCbwCzHPOxQIsnoiIiIiIiIhIl/Kh5gx4tWbuAY4HfgxcCzwCXKrETHDMbL6ZvWZmLWa2LOjyiEhnZlZkZv9sZrvNrMHMftpF/12SYxR/RcJN8Tc/KfaKhFvYY29eJGeccx3OuQedc1Odc6XOufHOubudc41Bl63AbQf+EXgo6IKISFp/A5wLnAAci5fg/l6gJZJMUfwVCTfF3/yk2CsSbqGOvXnRrEnCzcy+ClzunDsv6LKIyCFmtgW42zn36/j/fwb8CjhKtQ7zg+KvSDgp/uY3xV6RcAp77M2LmjOSnpktMLMlZvaRmTkz29TNtBEzu8vM1sarYm41swfNbPAAFllE0sjGvmxmw4Bq4K2kl98E/NelHxR/RfKD4m9uUewVyQ+FGnuLgi6AZNV3gd0c+tF15yG8TpR/CzzIoU6VTzKzC5MzifF2ecXdLOuAc66jPwUXkU6ysS8PiY/3Js3bkPKe9J3ir0h+UPzNLYq9IvmhIGOvkjP5bYpz7iMAM3sXqEg3kZkdD9wB/MY5d2XS6xuBh/E6WH46aZafAV/s5nPPB5b1q+Qikiwb+/L++HgoUB//e1jKe9J3ir8i+UHxN7co9orkh4KMvWrWlMf8H3QPXAcY8KOU158AmoEvpSz3S84562ZY1u/Ci0hCNvZl51wDsBU4MWm6k/DuIGztc2EFUPwVyReKv7lFsVckPxRq7FVyRgDmADHgteQXnXMtwOr4+70Wf1RZGV4NrYiZlZlZSX8LKyJd6u2+/FPgW2Y2zsxGAt8BngxDh2gFRPFXJD8o/uYWxV6R/JBXsVfJGQEYB9Q75w6mea8OqOrjgeVe4ADwfeDs+N+/73MpReRIersvfxdYAbwHbADex3vEoAwcxV+R/KD4m1sUe0XyQ17FXiVnBKAcSPeDBmhJmqZXnHPfSVPt87y+FlJEjqhX+7Jzrt05d6dzbrhzbqhz7ub4nQYZOIq/IvlB8Te3KPaK5Ie8ir1Kzgh47fFKu3ivLGkaEQk37cu5R9tMJD9oX84t2l4i+SGv9mUlZwTgY7wqX+l+2OPxqoq1DnCZRKT3tC/nHm0zkfygfTm3aHuJ5Ie82peVnBGA1/F+C6cmvxjv0OxE4I0gCiUivaZ9Ofdom4nkB+3LuUXbSyQ/5NW+rOSMACwGHPDVlNdvwWuj98sBL5GI9IX25dyjbSaSH7Qv5xZtL5H8kFf7clHQBZDsMbPrgUnxf0cCJWZ2b/z/zc65hQDOuXfM7MfAX5nZb4DngOnAncBLwNMDW3IRSaZ9Ofdom4nkB+3LuUXbSyQ/FOq+bM65oMsgWWJmy4Bzu3j7peTe480sipdxvBWoAerxMpHfds41ZrWgItIt7cu5R9tMJD9oX84t2l4i+aFQ92UlZ0REREREREREAqQ+Z0REREREREREAqTkjIiIiIiIiIhIgJScEREREREREREJkJIzIiIiIiIiIiIBUnJGRERERERERCRASs6IiIiIiIiIiARIyRkRERERERERkQApOSMiIiIiIiIiEiAlZ0REREREREREAqTkjEgvmdnVZvZvZrbNzJrMbI2Z3WxmFnTZgqZ1IyLZpBjTNa0bEckmxZiuad1IphQFXQCRHHQ3sAn4GrALuAj4v0A18LfBFSsUtG5EJJsUY7qmdSMi2aQY0zWtG8kIc84FXQaRnGJmVc65+pTXHgeuAYY752LBlCx4Wjcikk2KMV3TuhGRbFKM6ZrWjWSKmjWJ9FJq8I17C6gEyga4OKGidSMi2aQY0zWtGxHJJsWYrmndSKYoOSOSGWcDm5xzzT2Z2MxqzMylDPd0M/1nzexJM1tnZnvNrNXMdpnZK2b2fTM7NRNfwswWxcvyZA+n/3F8+t90M1mX68bMVqesg2V9LLqIFC7F364p/opINin+dk3xV3pNyRmRfjKzuXjVFn/ch9mbgF/Eh3fTLHu0mf0X8AJwExAFlgFLgFXAMcA9wKtmtrAPn5/q5/Hx1WZW0d2EZlYKXJsyX+o0R1o3/4H33V/ofVFFpNAp/naaL3UaxV8RyRrF307zpU6j+Ct9oj5nRPrBzCYArwLrgIuccx09nK8G2Ahsds7VdDHNCOB14GjgFeCvnHOrU6Yx4EzgG8A459xn+vRFOi+vFpgMfMU51+UdBDP7ArAY2A5Up3733qwbMzsP+C/gJefcef35DiJSGBR/FX9FJBiKv4q/kh2qOSPSR2Y2DFgK7Aau6OmBqRcewzswrQDmpR6YAJznFefcZcBf9vcDnZetfSr+701HmPzL8fG/pDkwZXvdiEgBU/xV/BWRYCj+Kv5K9ig5IwXNzD41s5iZjTez75jZGjNrNLNmM3spXi0x3XyDgGeBocDFzrm9GS7XscDV8X//0jnXeqR5nHOvdbO8wWb212b2upntM7MDZvZe/DunVt98EogBZ5vZlC6WNx7vMYH+9MnvZXXdiEh+UPxV/BWRYCj+Kv5KOCk5IwXLzI4GRgCf4rX5vDfp7z3AOcAfzOyklPmKgGeA6XjBty4LxfvvePvnGufcO/1ZULx65WvAA8Ak4I/A74HhwN8Cr5jZcH9659xW4A+AATd2sdgb8Nr/vuKcW5f0WQOxbkQkxyn+Kv6KSDAUfxV/JbyUnJFC5rdPrcLLlM9wzs1zzl0JHAe8DJQA30yZ7zHgUuAfgEozOz1pqMxQ2U6Jj9/oz0LibWifAWYAjwI1zrk/c859DpgCLAJmAQ+lzOp3cHZjfBmpbkyZzjcQ60ZEcp/ir+KviARD8VfxV0KqKOgCiATIPzh9itdh1yf+G865JjP7e+D/AaenzPfZ+PjBNMs8H683+f6qio93pXvTzD4L/EWat77jnNuU9P/FwBnAn4D/5ZyL+W845w6Y2W143+eLZnaXc25P/O3f4t09mQjMw7uT4H/2mcBUvJ72n0n5/IFYNyKS+xR/FX9FJBiKv4q/ElJKzkgh87Pz/5h8YEqyPj7u1Ca1q97lB9gM0le5fBTYlPT/f4uP/zX5wOSLH4TfiE83B6+6J865g2b2NDAfr+OzPyTN5neE9oxzrjFleTW9/iYiUogUfxV/RSQYik+CeAkAAAR/SURBVL+KvxJSatYkBSleVfHk+L+LupjMPyjtzH6JDlMfH49M96Zz7kfOOfMHYHMXyzk6Pv6+mbl0A4cOYKmf9bP4+PN+lUwzKwe+EH89tUqniMgRKf4q/opIMBR/FX8l3FRzRgrVMcAwYItzbkcX05wRH78FYGan0LM2sJc5537Xz/K9CXyJQ1VP+yoaH79E5zsK6XQ6wDnn3jKz1cCJwDXAE8CVQCWw3jm3op9lE5HCpPh7OMVfERkIir+HU/yV0FByRgqVH/T3dTPNDfHxv8bHGzl0wAK4DrgTL/O+J+n1NRko33/itVudbWYz+9Fj/db4eIlz7sd9mP9J4J+Bm/AOTjclvS4i0heKvz2j+Csimab42zOKvxIINWuSQuW3t50Yf/xdJ2Z2KXAu8B5e52A453Y75/7kD0A5sNs5tzT5defcgf4Wzjm3Hvh1/N+fmFlJHxe1ND6+uo/zLwIOAmfGO2E7H+gA/qWPyxMRUfztGcVfEck0xd+eUfyVQCg5I4XKv3NQCfx18htmdgFeUG4Fbk7XkVjcTODtrJUQ/hKvKuZZwB/M7MR0E5nZWXjfI51/A1YB55rZ/zGzEWnmP9rM5qeb2Tm3G/iP+L+LAAOed8593JsvIiKSRPH30PyKvyIykBR/D82v+Cuho2ZNUnDinaGdBMSAHwH/YGZX4fVOfwzeXYWDwPXxOwRdLeMEstgpmHOuPv7YvmeAucBbZrYB725GE14HZlM41OnZixzebjZmZpcDzwH/E/gLM1sDbMN7XOFE4DjgE6Crap8/x7vzMDLpfxGRXlP8VfwVkWAo/ir+SvgpOSOFaCpepv194B683uhvBq4APsWrsvg959zabpYxBRhMdu8c4JzbDpxtZpcA1wJnAhcApcBeYAPw78CvnHOvdbGMbWZ2KvA/8Hqanwmchvdd64AfEK+62oXf47XdrcbrRb+/nb2JSOFS/FX8FZFgKP4q/krIKTkjhchvb/u6c84BD8SH3pgZH2f14ORzzi3lUPvZvszfgndnoNedosWrtU7s62eLiCRR/O3dvIq/IpIpir+9m1fxVwackjNSiPz2tq/3Yxmz8KqFvtfPslSZ2VPxv3/lnHu+n8vLKWb293gHvjFBl0VEBoTib0go/ooUHMXfkFD8la4oOSOFKFMHp4+cc039LMtg4Mb43+8CBXVwAi4DZgddCBEZMIq/4aH4K1JYFH/DQ/FX0jKvVptIYTCzCF5b1VJgiHPuYB+Xsx54xzl3ZSbLJyKSrxR/RUSCofgrkhv0KG0pKM65mHNuiHOupB8HpnK8DtHeyWzpRETyl+KviEgwFH9FcoOSMyK9dzzevjMgnaGJiEiC4q+ISDAUf0WyTM2aREREREREREQCpJozIiIiIiIiIiIBUnJGRERERERERCRASs6IiIiIiIiIiARIyRkRERERERERkQApOSMiIiIiIiIiEiAlZ0REREREREREAqTkjIiIiIiIiIhIgJScEREREREREREJkJIzIiIiIiIiIiIBUnJGRERERERERCRA/x/jyH7p1kgPTAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1152x648 with 6 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axs = plt.subplots(2, 3,sharex=True,sharey='row',figsize=(16,9),gridspec_kw={'hspace': 0, 'wspace':0})\n",
    "\n",
    "\n",
    "CroninBins_pip = np.logspace(np.log10(0.02),np.log10(1.5),20)#np.array([0.0,0.1,0.25,0.4,0.55,0.75,1.0,1.25])\n",
    "colors={}\n",
    "colors['C'] = 'red'#'#1f77b4'\n",
    "colors['Fe'] = 'blue'#'#ff7f0e'\n",
    "colors['Pb']=  'black'#'#2ca02c'\n",
    "for zbin in range(1,10):\n",
    "    if(zbin==1 or zbin==2 or zbin==3): continue\n",
    "    col = ((zbin-1)%3)\n",
    "    row = ((zbin-1)//3)-1\n",
    "    zquery = ' z>%2.2f and z<%2.2f'%((zbin-1)*0.1,zbin*0.1)\n",
    "    label = '%2.2f<z<%2.2f'%(((zbin-1)*0.1,zbin*0.1))\n",
    "    for i,target in enumerate(['C','Fe','Pb']):\n",
    "    #zquery = ' z>0.3 and z<0.8'\n",
    "        #print(i)\n",
    "        r, err,x = getRatio(df['GiBUU_%s_hadron'%target].query('pid==211 and' +zquery), df['GiBUU_D_hadron'].query('pid==211 and' + zquery),\n",
    "                            df['GiBUU_%s_electron'%target], df['GiBUU_D_electron'],\n",
    "                             variable='pt2',mybins=CroninBins_pip)\n",
    "        #axs[row,col].fill_between(x,r-err,r+err,label='GiBUU %s'%target)\n",
    "        axs[0,col].set_ylim(bottom=0.0,top=7.1)\n",
    "        axs[1,col].set_ylim(bottom=0.0,top=4.3)\n",
    "        axs[row,col].set_xlim(left=0.05,right=1.5)\n",
    "\n",
    "        ##GIBUU\n",
    "        axs[row,col].errorbar(x,r,yerr=err,color=colors['%s'%target],lw=2,alpha=0.6)#,ds='steps')\n",
    "        axs[row,col].plot(x,r,label='GiBUU %s'%target,color=colors['%s'%target],lw=2,alpha=0.6)#,ds='steps')\n",
    "\n",
    "        ##Plot Data\n",
    "        axs[row,col].errorbar(xdata['%s_pip_%ibin'%(target,zbin)]+0.02*i,ydata['%s_pip_%ibin'%(target,zbin)],yerr=erry['%s_pip_%ibin'%(target,zbin)],ms=10,fmt='o',color=colors['%s'%target],label='%s'%target)\n",
    "     \n",
    "        axs[row,col].xaxis.set_label_text('$p_{T}^{2}$ [GeV$^{2}$]',fontsize=22)\n",
    "        axs[row,0].yaxis.set_label_text('$R_{h}^{\\pi^{+}}$',fontsize=24)\n",
    "        axs[row,col].axhline(y=1.0,color='black',linestyle='--')\n",
    "        axs[row,col].set_xscale('log')\n",
    "        #axs[row,col].set_yscale('log')\n",
    "\n",
    "        zmax = 0.1*zbin\n",
    "        zmin = 0.1*(zbin-1)\n",
    "        title=r'%2.2f$<z<$%2.2f'%(zmin,zmax)\n",
    "        if(row==0):\n",
    "            axs[row,col].text(0.05, 5.5,title, fontsize=20)\n",
    "        else:\n",
    "            axs[row,col].text(0.05, 3.5,title, fontsize=20)\n",
    "        #axs[row,col].set_title('%2.2f<z<%2.2f'%(zmin,zmax),fontsize=18,loc='right')#,pad=-16.3)\n",
    "\n",
    "leg = axs[0,0].legend(frameon=False,ncol=2,loc='center left',fontsize=18)  \n",
    "plt.setp(leg.get_title(),fontsize=20)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.savefig('Cronin_pip.pdf')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Cronin pi-"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x648 with 6 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axs = plt.subplots(2, 3,sharex=True,sharey='row',figsize=(16,9),gridspec_kw={'hspace': 0, 'wspace':0})\n",
    "\n",
    "\n",
    "CroninBins = np.logspace(np.log10(0.02),np.log10(1.5),24)# np.array([0.0,0.1,0.25,0.4,0.55,0.75,1.0,1.25])\n",
    "colors={}\n",
    "colors['C'] = 'red'#'#1f77b4'\n",
    "colors['Fe'] = 'blue'#'#ff7f0e'\n",
    "colors['Pb']=  'black'#'#2ca02c'\n",
    "for zbin in range(1,9):\n",
    "    if(zbin==1 or zbin==2 or zbin==3): continue\n",
    "    col = ((zbin-1)%3)\n",
    "    row = ((zbin-1)//3)-1\n",
    "    zquery = ' z>%2.2f and z<%2.2f'%((zbin-1)*0.1,zbin*0.1)\n",
    "    label = '%2.2f<z<%2.2f'%(((zbin-1)*0.1,zbin*0.1))\n",
    "    for i,target in enumerate(['C','Fe','Pb']):\n",
    "    #zquery = ' z>0.3 and z<0.8'\n",
    "        #print(i)\n",
    "        r, err,x = getRatio(df['GiBUU_%s_hadron'%target].query('pid==-211 and' +zquery), df['GiBUU_D_hadron'].query('pid==-211 and' + zquery),\n",
    "                            df['GiBUU_%s_electron'%target], df['GiBUU_D_electron'],\n",
    "                             variable='pt2',mybins=CroninBins)\n",
    "        #axs[row,col].fill_between(x,r-err,r+err,label='GiBUU %s'%target)\n",
    "        axs[0,col].set_ylim(bottom=0.0,top=6.9)\n",
    "        axs[1,col].set_ylim(bottom=0.0,top=4.3)\n",
    "        axs[row,col].set_xlim(left=0.05,right=1.5)\n",
    "\n",
    "        ##GIBUU\n",
    "        axs[row,col].errorbar(x,r,yerr=err,color=colors['%s'%target],lw=2,alpha=0.6)#,ds='steps')\n",
    "        axs[row,col].plot(x,r,label='GiBUU %s'%target,color=colors['%s'%target],lw=2,alpha=0.6)#,ds='steps')\n",
    "\n",
    "        ##Plot Data\n",
    "        axs[row,col].errorbar(xdata['%s_pim_%ibin'%(target,zbin)]+0.0*i,ydata['%s_pim_%ibin'%(target,zbin)],yerr=erry['%s_pim_%ibin'%(target,zbin)],ms=10,fmt='o',color=colors['%s'%target],label='%s'%target)\n",
    "     \n",
    "        axs[row,col].xaxis.set_label_text('$p_{T}^{2}$ [GeV$^{2}$]',fontsize=22)\n",
    "        axs[row,0].yaxis.set_label_text('$R_{h}^{\\pi^{-}}$',fontsize=24)\n",
    "        axs[row,col].axhline(y=1.0,color='black',linestyle='--')\n",
    "        axs[row,col].set_xscale('log')\n",
    "        #axs[row,col].set_yscale('log')\n",
    "\n",
    "        zmax = 0.1*zbin\n",
    "        zmin = 0.1*(zbin-1)\n",
    "        title=r'%2.2f$<z<$%2.2f'%(zmin,zmax)\n",
    "        if(row==0):\n",
    "            axs[row,col].text(0.05, 5.5,title, fontsize=20)\n",
    "        else:\n",
    "            axs[row,col].text(0.05, 3.5,title, fontsize=20)\n",
    "        #axs[row,col].set_title('%2.2f<z<%2.2f'%(zmin,zmax),fontsize=18,loc='right')#,pad=-16.3)\n",
    "\n",
    "leg = axs[0,0].legend(frameon=False,ncol=2,loc='center left',fontsize=18)  \n",
    "plt.setp(leg.get_title(),fontsize=20)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.savefig('Cronin_pim.pdf')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-6-794e30d924cd>:15: RuntimeWarning: invalid value encountered in true_divide\n",
      "  err_A = np.true_divide(np.sqrt(y_A),y_A)\n",
      "<ipython-input-6-794e30d924cd>:16: RuntimeWarning: invalid value encountered in true_divide\n",
      "  err_D = np.true_divide(np.sqrt(y_D),y_D)\n",
      "<ipython-input-6-794e30d924cd>:19: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ratio_conditional = np.true_divide(y_A,y_D)\n",
      "/usr/lib/python3/dist-packages/numpy/ma/core.py:6717: RuntimeWarning: overflow encountered in power\n",
      "  result = np.where(m, fa, umath.power(fa, fb)).view(basetype)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x648 with 6 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axs = plt.subplots(2, 3,sharex=True,sharey='row',figsize=(16,9),gridspec_kw={'hspace': 0, 'wspace':0})\n",
    "\n",
    "\n",
    "CroninBins_pip = np.array([0.0,0.1,0.25,0.4,0.55,0.75,1.0,1.25])\n",
    "colors={}\n",
    "colors['C'] = '#1f77b4'\n",
    "colors['Fe'] = '#ff7f0e'\n",
    "colors['Pb']=  '#2ca02c'\n",
    "for zbin in range(1,10):\n",
    "    if(zbin==1 or zbin==2 or zbin==3): continue\n",
    "    col = ((zbin-1)%3)\n",
    "    row = ((zbin-1)//3)-1\n",
    "    zquery = ' z>%2.2f and z<%2.2f'%((zbin-1)*0.1,zbin*0.1)\n",
    "    label = '%2.2f<z<%2.2f'%(((zbin-1)*0.1,zbin*0.1))\n",
    "    for i,target in enumerate(['C','Fe','Pb']):\n",
    "    #zquery = ' z>0.3 and z<0.8'\n",
    "        #print(i)\n",
    "        r, err,x = getRatio(df['GiBUU_%s_hadron'%target].query('pid==111 and' +zquery), df['GiBUU_D_hadron'].query('pid==111 and' + zquery),\n",
    "                            df['GiBUU_%s_electron'%target], df['GiBUU_D_electron'],\n",
    "                             variable='pt2',mybins=CroninBins_pip)\n",
    "        #axs[row,col].fill_between(x,r-err,r+err,label='GiBUU %s'%target)\n",
    "        axs[0,col].set_ylim(bottom=0.0,top=6.5)\n",
    "        axs[1,col].set_ylim(bottom=0.0,top=4.2)\n",
    "\n",
    "        \n",
    "        ##Plot Data\n",
    "        axs[row,col].errorbar(x,r,yerr=err,label='GiBUU %s'%target,color=colors['%s'%target],lw=2)#,ds='steps')\n",
    "\n",
    "        #axs[row,col].legend(frameon=False,ncol=3,loc='lower right',fontsize=15)\n",
    "        axs[row,col].xaxis.set_label_text('$p_{T}^{2}$ [GeV$^{2}$]',fontsize=22)\n",
    "        axs[row,0].yaxis.set_label_text('$R_{h}^{\\pi^{0}}$',fontsize=22)\n",
    "        axs[row,col].axhline(y=1.0,color='black',linestyle='--')\n",
    "        axs[row,col].set_xscale('log')\n",
    "        #axs[row,col].set_yscale('log')\n",
    "\n",
    "        zmax = 0.1*zbin\n",
    "        zmin = 0.1*(zbin-1)\n",
    "        #axs[row,col].set_title('%2.2f<z<%2.2f'%(zmin,zmax),fontsize=18,loc='right')#,pad=-16.3)\n",
    "        leg = axs[row,col].legend(frameon=False,ncol=1,loc='upper left',fontsize=16,title='%2.2f<z<%2.2f'%(zmin,zmax))\n",
    "        plt.setp(leg.get_title(),fontsize=20)\n",
    "plt.tight_layout()\n",
    "plt.savefig('Cronin_pi0.pdf')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "fig, axs = plt.subplots(2, 3,sharex=True,sharey='row',figsize=(16,9),gridspec_kw={'hspace': 0, 'wspace':0})\n",
    "\n",
    "\n",
    "CroninBins_pip = np.array([0.0,0.1,0.25,0.4,0.55,0.75,1.0,1.25])\n",
    "colors={}\n",
    "colors['C'] = '#1f77b4'\n",
    "colors['Fe'] = '#ff7f0e'\n",
    "colors['Pb']=  '#2ca02c'\n",
    "for zbin in range(1,10):\n",
    "    if(zbin==1 or zbin==2 or zbin==3): continue\n",
    "    col = ((zbin-1)%3)\n",
    "    row = ((zbin-1)//3)-1\n",
    "    zquery = ' z>%2.2f and z<%2.2f'%((zbin-1)*0.1,zbin*0.1)\n",
    "    label = '%2.2f<z<%2.2f'%(((zbin-1)*0.1,zbin*0.1))\n",
    "    for i,target in enumerate(['C','Fe','Pb']):\n",
    "    #zquery = ' z>0.3 and z<0.8'\n",
    "        #print(i)\n",
    "        r, err,x = getRatio(df['GiBUU_%s_hadron'%target].query('pid==2212 and' +zquery), df['GiBUU_D_hadron'].query('pid==2212 and' + zquery),\n",
    "                            df['GiBUU_%s_electron'%target], df['GiBUU_D_electron'],\n",
    "                             variable='pt2',mybins=CroninBins_pip)\n",
    "        #axs[row,col].fill_between(x,r-err,r+err,label='GiBUU %s'%target)\n",
    "        axs[0,col].set_ylim(bottom=0.0,top=6.5)\n",
    "        axs[1,col].set_ylim(bottom=0.0,top=4.2)\n",
    "\n",
    "        \n",
    "        ##Plot Data\n",
    "        axs[row,col].errorbar(x,r,yerr=err,label='GiBUU %s'%target,color=colors['%s'%target],lw=2)#,ds='steps')\n",
    "\n",
    "        #axs[row,col].legend(frameon=False,ncol=3,loc='lower right',fontsize=15)\n",
    "        axs[row,col].xaxis.set_label_text('$p_{T}^{2}$ [GeV$^{2}$]',fontsize=22)\n",
    "        axs[row,0].yaxis.set_label_text('$R_{h}^{p}$',fontsize=22)\n",
    "        axs[row,col].axhline(y=1.0,color='black',linestyle='--')\n",
    "        axs[row,col].set_xscale('log')\n",
    "        #axs[row,col].set_yscale('log')\n",
    "\n",
    "        zmax = 0.1*zbin\n",
    "        zmin = 0.1*(zbin-1)\n",
    "        #axs[row,col].set_title('%2.2f<z<%2.2f'%(zmin,zmax),fontsize=18,loc='right')#,pad=-16.3)\n",
    "        leg = axs[row,col].legend(frameon=False,ncol=1,loc='upper left',fontsize=16,title='%2.2f<z<%2.2f'%(zmin,zmax))\n",
    "        plt.setp(leg.get_title(),fontsize=20)\n",
    "plt.tight_layout()\n",
    "plt.savefig('Cronin_p.pdf')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Ratio"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "fig, axs = plt.subplots(2, 3,sharex=True,sharey='row',figsize=(16,9),gridspec_kw={'hspace': 0, 'wspace':0})\n",
    "\n",
    "\n",
    "#CroninBins_pip = np.array([0.0,0.1,0.25,0.4,0.55,0.75,1.0,1.25])\n",
    "colors={}\n",
    "colors['C'] = '#1f77b4'\n",
    "colors['Fe'] = '#ff7f0e'\n",
    "colors['Pb']=  '#2ca02c'\n",
    "for zbin in range(1,10):\n",
    "    if(zbin==1 or zbin==2 or zbin==3): continue\n",
    "    col = ((zbin-1)%3)\n",
    "    row = ((zbin-1)//3)-1\n",
    "    zquery = ' z>%2.2f and z<%2.2f'%((zbin-1)*0.1,zbin*0.1)\n",
    "    label = '%2.2f<z<%2.2f'%(((zbin-1)*0.1,zbin*0.1))\n",
    "    for i,target in enumerate(['C','Fe','Pb']):\n",
    "        ##Plot Data\n",
    "        \n",
    "        ratio = np.divide(ydata['%s_pim_%ibin'%(target,zbin)],ydata['%s_pip_%ibin'%(target,zbin)])\n",
    "        \n",
    "        \n",
    "        err_ratio_pip = np.divide(erry['%s_pip_%ibin'%(target,zbin)],ydata['%s_pip_%ibin'%(target,zbin)])\n",
    "        err_ratio_pim = np.divide(erry['%s_pim_%ibin'%(target,zbin)],ydata['%s_pim_%ibin'%(target,zbin)])\n",
    "\n",
    "        err_ratio = np.sqrt(np.power(err_ratio_pip,2.0)+ np.power(err_ratio_pim,2.0))\n",
    "        err_ratio = np.multiply(ratio, err_ratio)\n",
    "        axs[row,col].set_xlim(left=0.05,right=1.2)\n",
    "\n",
    "        axs[row,col].fill_between(xdata['%s_pim_%ibin'%(target,zbin)]+0.0, 0.9,1.1,alpha=0.2,color='black')\n",
    "        axs[row,col].errorbar(xdata['%s_pim_%ibin'%(target,zbin)]+0.0*i,ratio,yerr=err_ratio,ms=10,fmt='-o',color=colors['%s'%target],label='%s'%target)\n",
    "        \n",
    "        axs[row,col].xaxis.set_label_text('$p_{T}^{2}$ [GeV$^{2}$]',fontsize=22)\n",
    "        axs[row,col].set_xscale('log')\n",
    "\n",
    "        #axs[row,col].fill_between(xdata['%s_pip_%ibin'%(target,zbin)][:-1]+0.02*i,0.96*ydata['%s_pip_%ibin'%(target,zbin)][:-1], 1.04*ydata['%s_pip_%ibin'%(target,zbin)][:-1], color=colors['%s'%target])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "fig, axs = plt.subplots(2, 3,sharex=True,sharey='row',figsize=(16,9),gridspec_kw={'hspace': 0, 'wspace':0})\n",
    "\n",
    "\n",
    "CroninBins_pip = np.array([0.0,0.1,0.25,0.4,0.55,0.75,1.0,1.25])\n",
    "colors={}\n",
    "colors['C'] = 'red'#'#1f77b4'\n",
    "colors['Fe'] = 'blue'#'#ff7f0e'\n",
    "colors['Pb']=  'black'#'#2ca02c'\n",
    "for zbin in range(1,10):\n",
    "    if(zbin==1 or zbin==2 or zbin==3): continue\n",
    "    col = ((zbin-1)%3)\n",
    "    row = ((zbin-1)//3)-1\n",
    "    zquery = ' z>%2.2f and z<%2.2f'%((zbin-1)*0.1,zbin*0.1)\n",
    "    label = '%2.2f<z<%2.2f'%(((zbin-1)*0.1,zbin*0.1))\n",
    "    for i,target in enumerate(['C','Fe','Pb']):\n",
    "    #zquery = ' z>0.3 and z<0.8'\n",
    "        #print(i)\n",
    "        rpim, err,x = getRatio(df['GiBUU_%s_hadron'%target].query('pid==-211 and' +zquery), df['GiBUU_D_hadron'].query('pid==-211 and' + zquery),\n",
    "                            df['GiBUU_%s_electron'%target], df['GiBUU_D_electron'],\n",
    "                             variable='pt2',mybins=CroninBins_pip)\n",
    "        rpip, err,x = getRatio(df['GiBUU_%s_hadron'%target].query('pid==211 and' +zquery), df['GiBUU_D_hadron'].query('pid==211 and' + zquery),\n",
    "                            df['GiBUU_%s_electron'%target], df['GiBUU_D_electron'],\n",
    "                             variable='pt2',mybins=CroninBins_pip)\n",
    "        ratio = np.divide(rpip,rpim)\n",
    "        axs[row,col].errorbar(x,ratio,color=colors['%s'%target],label='%s'%target)\n",
    "        axs[row,col].fill_between(x, 0.9,1.1,alpha=0.6,color='black')\n",
    "\n",
    "\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Broadening"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "broadening_pip = []\n",
    "mass_number = [12,52,208]\n",
    "mass_number_cubicroot = [2.28, 3.73,5.92]\n",
    "fig = plt.figure(figsize=(8,6))\n",
    "broadening_pim= []\n",
    "\n",
    "selection = 'z>0.5 and z<0.6 and Nu<3 and Nu>2 and Q2<2 and Q2>1'\n",
    "\n",
    "ref = df['GiBUU_D_hadron'].query('pid==211 and '+selection)['pt2'].mean()\n",
    "for target in ['C','Fe','Pb']:\n",
    "    A = df['GiBUU_%s_hadron'%target].query('pid==211 and '+selection)['pt2'].mean()\n",
    "    print (A-ref)\n",
    "    #print A\n",
    "    broadening_pip.append(A-ref)\n",
    "\n",
    "plt.plot(mass_number_cubicroot,broadening_pip,'o',ms=10,alpha=0.8,label='$\\pi^{+}$')\n",
    "\n",
    "\n",
    "selection = 'z>0.5 and z<0.6 and Nu<4 and Nu>3 and Q2<2 and Q2>1'\n",
    "broadening_pip= []\n",
    "ref = df['GiBUU_D_hadron'].query('pid==211 and '+selection)['pt2'].mean()\n",
    "for target in ['C','Fe','Pb']:\n",
    "    A = df['GiBUU_%s_hadron'%target].query('pid==211 and '+selection)['pt2'].mean()\n",
    "    print (A-ref)\n",
    "    #print A\n",
    "    broadening_pip.append(A-ref)\n",
    "\n",
    "plt.plot(mass_number_cubicroot,broadening_pip,'o',ms=10,alpha=0.8,label='3-4')\n",
    "\n",
    "\n",
    "    \n",
    "#print broadening\n",
    "#ref = df['GiBUU_D_hadron'].query('pid==-211 and '+selection)['pt2'].mean()\n",
    "#for target in ['C','Fe','Pb']:\n",
    "#    A = df['GiBUU_%s_hadron'%target].query('pid==-211 and '+selection)['pt2'].mean()\n",
    "#    print A-ref\n",
    "#    broadening_pim.append(A-ref)\n",
    "    \n",
    "#plt.plot(mass_number_cubicroot,broadening_pim,'o',ms=10,alpha=0.8,label='$\\pi^{-}$')\n",
    "\n",
    "\n",
    "plt.title(r'$0.5<z<0.6$ , $2.0<\\nu<3.0$',fontsize=22)\n",
    "plt.ylabel('$p_{T}^{2}$ broadening [GeV$^{2}$]',fontsize=22)\n",
    "plt.xlabel('Mass number $^{1/3}$',fontsize=22)\n",
    "plt.legend(loc='best',ncol=3,frameon=False)\n",
    "plt.ylim([0.0,0.06])\n",
    "\n",
    "#plt.xscale('log')\n",
    "plt.tight_layout()\n",
    "plt.savefig('Broadening.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Kinetic energy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "fig = plt.figure(figsize=(8,6))\n",
    "\n",
    "\n",
    "colors = {}\n",
    "colors['C'] = 'red'\n",
    "colors['Fe'] = 'blue'\n",
    "colors['Pb']= 'black'\n",
    "\n",
    "for target in ['C','Fe','Pb']:\n",
    "    r, err,x = getRatio(df['GiBUU_%s_hadron'%target].query('pid==211'), df['GiBUU_D_hadron'].query('pid==211 and P>0.2'), \n",
    "                        df['GiBUU_%s_electron'%target], df['GiBUU_D_electron'],\n",
    "                        minz=0.1,maxz=2.5,nbins=20,variable='T')\n",
    "    \n",
    "    plt.errorbar(x,r,yerr=err,label=r'$\\pi^{+}$'+'%s'%target,fmt='-',ms=8,color=colors[target])\n",
    "    \n",
    "    \n",
    "    #r, err,x = getRatio(df['GiBUU_%s_hadron'%target].query('pid==-211'), df['GiBUU_D_hadron'].query('pid==-211 and P>0.2'), \n",
    "    #                    df['GiBUU_%s_electron'%target], df['GiBUU_D_electron'],\n",
    "    #                    minz=0.1,maxz=2.5,nbins=10,variable='T')\n",
    "    \n",
    "    #plt.errorbar(x,r,yerr=err,label=r'$\\pi^{-}$'+'%s'%target,fmt='-',ms=8,ls='--',color=colors[target])\n",
    "    \n",
    "\n",
    "plt.xlabel('Kinetic Energy',fontsize=22)\n",
    "plt.ylabel('$R_{h}$',fontsize=22)\n",
    "plt.legend(loc='best',ncol=3,frameon=False)\n",
    "#plt.ylim([0.0,1.3])\n",
    "\n",
    "plt.xscale('log')\n",
    "plt.tight_layout()\n",
    "plt.savefig('Rh_mmentum.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "fig = plt.figure(figsize=(8,6))\n",
    "\n",
    "\n",
    "colors = {}\n",
    "colors['C'] = 'red'\n",
    "colors['Fe'] = 'blue'\n",
    "colors['Pb']= 'black'\n",
    "\n",
    "minQ2 = 1.85\n",
    "maxQ2 = 2.40\n",
    "minNu = 2.2\n",
    "maxNu = 3.0\n",
    "\n",
    "ratio = {}\n",
    "\n",
    "event_selection = 'Q2>%2.2f and Q2<%2.2f and Nu>%2.2f and Nu<%2.2f'%(minQ2,maxQ2,minNu,maxNu)\n",
    "print (event_selection)\n",
    "\n",
    "for target in ['C','Fe','Pb']:\n",
    "    r_pip, err,x = getRatio(df['GiBUU_%s_hadron'%target].query('pid==211'), df['GiBUU_D_hadron'].query('pid==211'), \n",
    "                        df['GiBUU_%s_electron'%target], df['GiBUU_D_electron'], event_cut = event_selection,\n",
    "                        minz=0.05,maxz=1.0,nbins=10)\n",
    "    \n",
    "    plt.errorbar(x,r_pip,yerr=err,label=r'$\\pi^{+}$'+'%s'%target,fmt='-',ms=8,color=colors[target])\n",
    "    \n",
    "    \n",
    "    r_pim, err,x = getRatio(df['GiBUU_%s_hadron'%target].query('pid==-211'), df['GiBUU_D_hadron'].query('pid==-211'), \n",
    "                        df['GiBUU_%s_electron'%target], df['GiBUU_D_electron'], event_cut = event_selection,\n",
    "                        minz=0.05,maxz=1.0,nbins=10)\n",
    "    \n",
    "    plt.errorbar(x,r_pim,yerr=err,label=r'$\\pi^{-}$'+'%s'%target,fmt='-',ms=8,ls='--',color=colors[target])\n",
    "    \n",
    "    print ('pi+', r_pip)\n",
    "    print ('pi-', r_pim)\n",
    "    print (np.true_divide(r_pip,r_pim))\n",
    "    r = np.true_divide(r_pip,r_pim)\n",
    "    ratio[target] = r\n",
    "\n",
    "plt.title(r'%2.2f$<Q^{2}<$%2.2f GeV$^{2}$, %2.2f$<\\nu<$%2.2f GeV'%(minQ2,maxQ2,minNu,maxNu),fontsize=22)\n",
    "    \n",
    "plt.xlabel('$z$',fontsize=22)\n",
    "plt.ylabel('$R_{h}$',fontsize=22)\n",
    "plt.legend(loc='best',ncol=3,frameon=False)\n",
    "plt.ylim([0.0,1.3])\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.savefig('Rh.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "fig = plt.figure(figsize=(8,6))\n",
    "\n",
    "for target in ['C','Fe','Pb']:\n",
    "    plt.plot(x,ratio[target],color=colors[target],label=target)\n",
    "    plt.xlabel('$z$',fontsize=22)\n",
    "    plt.ylabel('Ratio of $\\pi^{+}$ to $\\pi^{-}$',fontsize=22) \n",
    "    plt.legend(loc='best',ncol=3,frameon=False)\n",
    "    #plt.ylim([0.0,1.3])\n",
    "    \n",
    "    plt.tight_layout()\n",
    "    plt.savefig('Rh_pimtopip.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "fig = plt.figure(figsize=(8,6))\n",
    "\n",
    "\n",
    "colors = {}\n",
    "colors['C'] = 'red'\n",
    "colors['Fe'] = 'blue'\n",
    "colors['Pb']= 'black'\n",
    "\n",
    "minQ2 = 1.0\n",
    "maxQ2 = 1.2\n",
    "\n",
    "\n",
    "#event_selection = 'Q2>%2.2f and Q2<%2.2f and Nu>%2.2f and Nu<%2.2f'%(minQ2,maxQ2,minNu,maxNu)\n",
    "event_selection = 'Q2>%2.2f and Q2<%2.2f'%(minQ2,maxQ2)\n",
    "\n",
    "print (event_selection)\n",
    "\n",
    "for target in ['C','Fe','Pb']:\n",
    "    r_pip, err,x = getRatio(df['GiBUU_%s_hadron'%target].query('pid==211'), df['GiBUU_D_hadron'].query('pid==211'), \n",
    "                        df['GiBUU_%s_electron'%target], df['GiBUU_D_electron'], event_cut = event_selection,\n",
    "                        minz=0.2,maxz=3.0,nbins=20,variable='P')\n",
    "    \n",
    "    plt.errorbar(x,r_pip,yerr=err,label=r'$\\pi^{+}$'+'%s'%target,fmt='-',ms=8,color=colors[target])\n",
    "    \n",
    "    \n",
    "    #r_pim, err,x = getRatio(df['GiBUU_%s_hadron'%target].query('pid==-211'), df['GiBUU_D_hadron'].query('pid==-211'), \n",
    "    #                    df['GiBUU_%s_electron'%target], df['GiBUU_D_electron'], event_cut = event_selection,\n",
    "    #                    minz=0.2,maxz=3.0,nbins=20,variable='P')\n",
    "    \n",
    "    #plt.errorbar(x,r_pim,yerr=err,label=r'$\\pi^{-}$'+'%s'%target,fmt='-',ms=8,ls='--',color=colors[target])\n",
    "    \n",
    "    ##print 'pi+', r_pip\n",
    "    ##print 'pi-', r_pim\n",
    "    #print np.true_divide(r_pip,r_pim)\n",
    "\n",
    "plt.title(r'%2.2f$<Q^{2}<$%2.2f GeV$^{2}$'%(minQ2,maxQ2))\n",
    "    \n",
    "plt.xlabel('$P [GeV]$',fontsize=22)\n",
    "plt.ylabel('$R_{h}$',fontsize=22)\n",
    "plt.legend(loc='best',ncol=3,frameon=False)\n",
    "plt.ylim([0.1,2.5])\n",
    "#plt.xscale('log')\n",
    "plt.tight_layout()\n",
    "plt.savefig('Rh.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "fig = plt.figure(figsize=(8,6))\n",
    "\n",
    "\n",
    "colors = {}\n",
    "colors['C'] = 'red'\n",
    "colors['Fe'] = 'blue'\n",
    "colors['Pb']= 'black'\n",
    "\n",
    "minQ2 = 1.85\n",
    "maxQ2 = 2.40\n",
    "minNu = 2.2\n",
    "maxNu = 3.0\n",
    "\n",
    "#event_selection = 'Q2>%2.2f and Q2<%2.2f and Nu>%2.2f and Nu<%2.2f'%(minQ2,maxQ2,minNu,maxNu)\n",
    "event_selection = 'Q2>%2.2f and Q2<%2.2f'%(minQ2,maxQ2)\n",
    "\n",
    "print (event_selection)\n",
    "\n",
    "\n",
    "\n",
    "plt.vlines(0.2, 0,3.0,color='red')\n",
    "\n",
    "#plt.xscale('log')\n",
    "plt.hist(df['GiBUU_D_hadron'].query('pid==211 and P>0.2')['T'],bins=50,alpha=0.3,density=2.0)\n",
    "for target in ['D','C','Fe','Pb']:\n",
    "    plt.hist(df['GiBUU_%s_hadron'%target].query('pid==211 and P>0.2')['T'],histtype='step',bins=50,alpha=0.8,density=2.0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "fig = plt.figure(figsize=(8,6))\n",
    "\n",
    "\n",
    "colors = {}\n",
    "colors['C'] = 'red'\n",
    "colors['Fe'] = 'blue'\n",
    "colors['Pb']= 'black'\n",
    "\n",
    "minQ2 = 1.85\n",
    "maxQ2 = 2.40\n",
    "minNu = 2.2\n",
    "maxNu = 3.0\n",
    "\n",
    "#event_selection = 'Q2>%2.2f and Q2<%2.2f and Nu>%2.2f and Nu<%2.2f'%(minQ2,maxQ2,minNu,maxNu)\n",
    "event_selection = 'Q2>%2.2f and Q2<%2.2f'%(minQ2,maxQ2)\n",
    "\n",
    "print (event_selection)\n",
    "\n",
    "plt.hist(df['GiBUU_D_hadron'].query('pid==211')['theta_lab'],bins=20,alpha=0.3,density=2.0)\n",
    "for target in ['D','C','Fe','Pb']:\n",
    "    plt.hist(df['GiBUU_%s_hadron'%target].query('pid==211')['theta_lab'],histtype='step',bins=20,alpha=0.3,density=2.0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "print(df.keys())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['GiBUU_hadron']"
   ]
  }
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