Acoplamento_4Anomalo_WWCEP_modificado.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "Acoplamento_4Anomalo_WWCEP_modificado.ipynb",
      "provenance": [],
      "collapsed_sections": [
        "tY3bBuhn1RLm",
        "vW_o9fVi1qVf",
        "72yv-cfh2Dfq",
        "PG7J9Gi-2xPc"
      ],
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    },
    "accelerator": "GPU",
    "gpuClass": "standard"
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/wars2/Analise-Dados-FAE/blob/main/Acoplamento_4Anomalo_WWCEP_modificado.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Importando as Bibliotecas"
      ],
      "metadata": {
        "id": "tY3bBuhn1RLm"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "9T_spGDT1V5_",
        "outputId": "98a4f1fb-9c8e-407e-a9ba-833c1d5cfa0f"
      },
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\"/content/drive\", force_remount=True).\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import h5py\n",
        "import matplotlib.pyplot as plt\n",
        "import pandas as pd\n",
        "import numpy as np"
      ],
      "metadata": {
        "id": "v0Qr6MfB1Wtx"
      },
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#!python3 -m pip install --user mplhep\n",
        "!pip install --user mplhep\n",
        "import mplhep as hep"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "VlQENWL31Yp9",
        "outputId": "21a644e0-2f14-4a15-be0d-c44f3c498dcf"
      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Requirement already satisfied: mplhep in /root/.local/lib/python3.7/site-packages (0.3.26)\n",
            "Requirement already satisfied: matplotlib>=3.4 in /root/.local/lib/python3.7/site-packages (from mplhep) (3.5.2)\n",
            "Requirement already satisfied: mplhep-data in /root/.local/lib/python3.7/site-packages (from mplhep) (0.0.3)\n",
            "Requirement already satisfied: packaging in /usr/local/lib/python3.7/dist-packages (from mplhep) (21.3)\n",
            "Requirement already satisfied: uhi>=0.2.0 in /root/.local/lib/python3.7/site-packages (from mplhep) (0.3.1)\n",
            "Requirement already satisfied: numpy>=1.16.0 in /usr/local/lib/python3.7/dist-packages (from mplhep) (1.21.6)\n",
            "Requirement already satisfied: pyparsing>=2.2.1 in /usr/local/lib/python3.7/dist-packages (from matplotlib>=3.4->mplhep) (3.0.9)\n",
            "Requirement already satisfied: python-dateutil>=2.7 in /usr/local/lib/python3.7/dist-packages (from matplotlib>=3.4->mplhep) (2.8.2)\n",
            "Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.7/dist-packages (from matplotlib>=3.4->mplhep) (0.11.0)\n",
            "Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.7/dist-packages (from matplotlib>=3.4->mplhep) (1.4.4)\n",
            "Requirement already satisfied: fonttools>=4.22.0 in /root/.local/lib/python3.7/site-packages (from matplotlib>=3.4->mplhep) (4.34.4)\n",
            "Requirement already satisfied: pillow>=6.2.0 in /usr/local/lib/python3.7/dist-packages (from matplotlib>=3.4->mplhep) (7.1.2)\n",
            "Requirement already satisfied: typing-extensions in /usr/local/lib/python3.7/dist-packages (from kiwisolver>=1.0.1->matplotlib>=3.4->mplhep) (4.1.1)\n",
            "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.7/dist-packages (from python-dateutil>=2.7->matplotlib>=3.4->mplhep) (1.15.0)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "PATH = '/content/drive/MyDrive/IC/dados/dados_ic_23-6-2022/'\n",
        "raiz_s = 13000\n",
        "plt.style.use([hep.style.ROOT, hep.style.firamath])"
      ],
      "metadata": {
        "id": "rzr_afjW1anO"
      },
      "execution_count": 4,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Abrindo eventos de Background + Dados"
      ],
      "metadata": {
        "id": "vW_o9fVi1qVf"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "def open_file_back( file ):\n",
        "    df = None\n",
        "    with h5py.File( file , 'r' ) as f:\n",
        "        dset_columns = f['columns']\n",
        "        dset_dados = f['dados']\n",
        "        #print( '\\n colunas --> ', np.array( dset_columns ),'\\n' )\n",
        "        df = pd.DataFrame( np.array(dset_dados), columns = np.array( dset_columns))\n",
        "        df[b'Mpps'] = raiz_s * ( np.sqrt( df[b'xi1'] * df[b'xi2'] ) )\n",
        "        df[b'Ypps'] = 1/2 * np.log( df[b'xi1'] / df[b'xi2'] )\n",
        "        df[b'Mww/Mpps'] = df[b'W_Mass'] / df[b'Mpps']\n",
        "        df[b'Ypps-Yww'] = df[b'Ypps'] - df[b'W_rapidity']\n",
        "        df[b'label'] = 0\n",
        "\n",
        "        df_cut = (df[b'muon_pt'] > 53) & (df[b'xi1'] > 0.04) & (df[b'xi2'] > 0.04) & (df[b'xi1'] < 0.111) & (df[b'xi2'] < 0.138) & (df[b'muon_eta'] < 2.4) & (df[b'jetAK8_pt'] > 200) & (df[b'jet_eta'] < 2.4) & (df[b'jetAK8_tau21'] < 0.6) & (df[b'METPt'] > 40) & (df[b'W_Mass'] > 500) & (df[b'W_pt_lep'] > 200) & (df[b'dphi_jet_MET'] > 2) & (df[b'dphi_jet_lep'] > 2)\n",
        "        dset = df[df_cut]\n",
        "        return dset"
      ],
      "metadata": {
        "id": "LTzVb_T11kFe"
      },
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "Drell_Yan = open_file_back(PATH + 'DataSet_multiRP_DrellYan.h5')\n",
        "QCD = open_file_back(PATH + 'DataSet_multiRP_QCD.h5')\n",
        "Single_top = open_file_back(PATH + 'DataSet_multiRP_single_top.h5')\n",
        "VV_Inclusivo = open_file_back(PATH + 'DataSet_multiRP_VV_inclusivo.h5')\n",
        "W_Jets = open_file_back(PATH + 'DataSet_multiRP_WJets.h5')\n",
        "TT_bar = open_file_back(PATH + 'DataSet_TTbar.h5')\n",
        "\n",
        "data = open_file_back(PATH + 'DataSet_dados_multiRP.h5')\n",
        "\n",
        "concat = pd.concat([Drell_Yan, QCD, Single_top, VV_Inclusivo, W_Jets, TT_bar])"
      ],
      "metadata": {
        "id": "MItPgy0L10zq"
      },
      "execution_count": 6,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Corrigindo as colunas do Background\n",
        "Deixando os nomes das variáveis iguais"
      ],
      "metadata": {
        "id": "72yv-cfh2Dfq"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "columns_ = [ b'W_Mass', b'W_pt_lep', b'dPhi_Whad_Wlep',b'dPhi_jatos_MET', b'jetAK8_pt', b'jetAK8_eta',\n",
        "                b'jetAK8_prunedMass',      b'jetAK8_tau21',             b'METPt',\n",
        "                b'muon_pt',          b'muon_eta',       b'ExtraTracks',\n",
        "               b'PUWeight',        b'W_rapidity',              b'btag',\n",
        "                b'xi1',               b'xi2',b'ismultirp1',        b'ismultirp2',\n",
        "                b'Norm',\n",
        "                  b'weight',              b'Mpps',              b'Ypps',\n",
        "                b'Mww/Mpps',          b'Ypps-Yww', b'label']"
      ],
      "metadata": {
        "id": "Jx7OR4kt2NP6"
      },
      "execution_count": 7,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "DrellYan = pd.DataFrame( np.array(Drell_Yan),columns=columns_ )\n",
        "QCD_ = pd.DataFrame( np.array(QCD),columns=columns_ )\n",
        "SingleTop = pd.DataFrame( np.array(Single_top),columns=columns_ )\n",
        "VVInclusivo = pd.DataFrame( np.array(VV_Inclusivo),columns=columns_ )\n",
        "Wjets = pd.DataFrame( np.array(W_Jets),columns=columns_ )\n",
        "TTbar = pd.DataFrame( np.array(TT_bar),columns=columns_ )\n",
        "\n",
        "concat_back = pd.concat([DrellYan, QCD_, SingleTop, VVInclusivo, Wjets, TTbar])\n",
        "\n",
        "concat_back[b'label'] = 0"
      ],
      "metadata": {
        "id": "ZLzeviz22P9u"
      },
      "execution_count": 8,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Abrindo eventos de Sinal + Modelo Padrão"
      ],
      "metadata": {
        "id": "gLEILgZa2dEt"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "def open_file_signal( file ):\n",
        "    df = None\n",
        "    with h5py.File( file , 'r' ) as f:\n",
        "        dset_columns = f['columns']\n",
        "        dset_dados = f['dados']\n",
        "        #print( '\\n colunas --> ', np.array( dset_columns ),'\\n' )\n",
        "        df = pd.DataFrame( np.array(dset_dados), columns = np.array( dset_columns))\n",
        "        df[b'Mpps'] = raiz_s * ( np.sqrt( df[b'xi1'] * df[b'xi2'] ) )\n",
        "        df[b'Ypps'] = 1/2 * np.log( df[b'xi1'] / df[b'xi2'] )\n",
        "        df[b'Mww/Mpps'] = df[b'W_Mass'] / df[b'Mpps']\n",
        "        df[b'Ypps-Yww'] = df[b'Ypps'] - df[b'W_rapidity']\n",
        "        df[b'label'] = 1\n",
        "\n",
        "        df_cut = (df[b'muon_pt'] > 53) & (df[b'xi1'] > 0.04) & (df[b'xi2'] > 0.04) & (df[b'xi1'] < 0.111) & (df[b'xi2'] < 0.138) & (df[b'muon_eta'] < 2.4) & (df[b'jetAK8_pt'] > 200) & (df[b'jetAK8_eta'] < 2.4) & (df[b'jetAK8_tau21'] < 0.6) & (df[b'METPt'] > 40) & (df[b'W_Mass'] > 500) & (df[b'W_pt_lep'] > 200) & (df[b'METPt'] > 2) & (df[b'dPhi_Whad_Wlep'] > 2)\n",
        "        dset = df[df_cut]\n",
        "        return dset\n",
        "\n",
        "\n",
        "\n",
        "def open_file_SM( file ):\n",
        "    df = None\n",
        "    with h5py.File( file , 'r' ) as f:\n",
        "        dset_columns = f['columns']\n",
        "        dset_dados = f['dados']\n",
        "        #print( '\\n colunas --> ', np.array( dset_columns ),'\\n' )\n",
        "        df = pd.DataFrame( np.array(dset_dados), columns = np.array( dset_columns))\n",
        "        df[b'Mpps'] = raiz_s * ( np.sqrt( df[b'xi1'] * df[b'xi2'] ) )\n",
        "        df[b'Ypps'] = 1/2 * np.log( df[b'xi1'] / df[b'xi2'] )\n",
        "        df[b'Mww/Mpps'] = df[b'W_Mass'] / df[b'Mpps']\n",
        "        df[b'Ypps-Yww'] = df[b'Ypps'] - df[b'W_rapidity']\n",
        "        df[b'label'] = 2\n",
        "\n",
        "        df_cut = (df[b'muon_pt'] > 53) & (df[b'xi1'] > 0.04) & (df[b'xi2'] > 0.04) & (df[b'xi1'] < 0.111) & (df[b'xi2'] < 0.138) & (df[b'muon_eta'] < 2.4) & (df[b'jetAK8_pt'] > 200) & (df[b'jetAK8_eta'] < 2.4) & (df[b'jetAK8_tau21'] < 0.6) & (df[b'METPt'] > 40) & (df[b'W_Mass'] > 500) & (df[b'W_pt_lep'] > 200) & (df[b'METPt'] > 2) & (df[b'dPhi_Whad_Wlep'] > 2)\n",
        "        dset = df[df_cut]\n",
        "        return dset\n"
      ],
      "metadata": {
        "id": "sTiMim_J2ix0"
      },
      "execution_count": 9,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "A01 = open_file_signal( PATH + 'output-DataSet_ANOMALO1_multiRP.h5' )\n",
        "A02 = open_file_signal( PATH + 'output-DataSet_ANOMALO2_multiRP.h5' )\n",
        "A03 = open_file_signal( PATH + 'output-DataSet_ANOMALO3_multiRP.h5' )\n",
        "A04 = open_file_signal( PATH + 'output-DataSet_ANOMALO4_multiRP.h5' )\n",
        "A05 = open_file_signal( PATH + 'output-DataSet_ANOMALO5_multiRP.h5' )\n",
        "A06 = open_file_signal( PATH + 'output-DataSet_ANOMALO6_multiRP.h5' )\n",
        "A07 = open_file_signal( PATH + 'output-DataSet_ANOMALO7_multiRP.h5' )\n",
        "A08 = open_file_signal( PATH + 'output-DataSet_ANOMALO8_multiRP.h5' )\n",
        "\n",
        "SM = open_file_SM( PATH + 'output-SM_multiRP.h5' )"
      ],
      "metadata": {
        "id": "YFLc6QWj2nYg"
      },
      "execution_count": 10,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Montando os Plots"
      ],
      "metadata": {
        "id": "PG7J9Gi-2xPc"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize = (18, 8))\n",
        "bin = 20\n",
        "var = b'W_Mass' \n",
        "range_ = (500, 1500)\n",
        "\n",
        "# Background\n",
        "plt.subplot(121)\n",
        "Mww_back = [ DrellYan[var], QCD_[var], SingleTop[var], VVInclusivo[var], Wjets[var], TTbar[var] ]\n",
        "label_back = [ 'Drell_Yan', 'QCD', 'Single_top', 'VV_Inclusivo', 'W_Jets', 'TT_bar' ]\n",
        "weights_back = [ Drell_Yan[b'weight'], QCD[b'weight'], Single_top[b'weight'], VV_Inclusivo[b'weight'], W_Jets[b'weight'], TT_bar[b'weight'] ]\n",
        "\n",
        "# Dados no Background\n",
        "counts_1, bin_edges_1 = np.histogram( data[var] , bins = bin, range = range_ )\n",
        "errors_1 = np.sqrt( counts_1 )\n",
        "bin_centres_1 = ( bin_edges_1[:-1] + bin_edges_1[1:] ) / 2.\n",
        "plt.errorbar( bin_centres_1, counts_1, yerr=errors_1, xerr=abs(bin_centres_1[0] - bin_centres_1[1])/2, fmt='.', label = 'Data-2016', color = 'black' )\n",
        "\n",
        "plt.hist(Mww_back, label = label_back, bins = bin, weights = weights_back, range = range_, stacked = True, histtype = 'bar', linestyle = '-')\n",
        "plt.legend(loc = 'best', fontsize = 13)\n",
        "#plt.yscale('log')\n",
        "plt.xlabel('$M_{ww}$')\n",
        "plt.ylabel('# Eventos')\n",
        "plt.title('Background')\n",
        "\n",
        "\n",
        "# Signal\n",
        "plt.subplot(122)\n",
        "Mww_signal = [ A01[var], A02[var], A03[var], A04[var], A05[var], A06[var], A07[var], A08[var] ]\n",
        "label_signal = [ 'Anomalo 01', 'Anomalo 02', 'Anomalo 03', 'Anomalo 04', 'Anomalo 05', 'Anomalo 06', 'Anomalo 07', 'Anomalo 08',  ]\n",
        "weights_signal = [ A01[b'weight'], A02[b'weight'], A03[b'weight'], A04[b'weight'], A05[b'weight'], A06[b'weight'], A07[b'weight'], A08[b'weight'] ]\n",
        "\n",
        "\n",
        "plt.hist(Mww_signal, label = label_signal, bins = bin, weights = weights_signal, range = range_, histtype = 'step', linestyle = '-')\n",
        "plt.yscale('log')\n",
        "plt.legend(loc = 'best', fontsize = 13)\n",
        "plt.xlabel('$M_{ww}$')\n",
        "plt.ylabel('# Eventos')\n",
        "plt.title('Signal')\n",
        "\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 571
        },
        "id": "14ZG62p72p6p",
        "outputId": "0c1cd905-2c05-4033-efc9-0096e2aeb706"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Signal')"
            ]
          },
          "metadata": {},
          "execution_count": 35
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1296x576 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize = (18, 8))\n",
        "bin = 20\n",
        "var = b'jetAK8_pt' \n",
        "range_ = (200, 750)\n",
        "\n",
        "# Background\n",
        "plt.subplot(121)\n",
        "Mww_back = [ DrellYan[var], QCD_[var], SingleTop[var], VVInclusivo[var], Wjets[var], TTbar[var] ]\n",
        "label_back = [ 'Drell_Yan', 'QCD', 'Single_top', 'VV_Inclusivo', 'W_Jets', 'TT_bar' ]\n",
        "weights_back = [ Drell_Yan[b'weight'], QCD[b'weight'], Single_top[b'weight'], VV_Inclusivo[b'weight'], W_Jets[b'weight'], TT_bar[b'weight'] ]\n",
        "\n",
        "# Dados\n",
        "counts_1, bin_edges_1 = np.histogram( data[var] , bins = bin, range = range_ )\n",
        "errors_1 = np.sqrt( counts_1 )\n",
        "bin_centres_1 = ( bin_edges_1[:-1] + bin_edges_1[1:] ) / 2.\n",
        "plt.errorbar( bin_centres_1, counts_1, yerr=errors_1, xerr=abs(bin_centres_1[0] - bin_centres_1[1])/2, fmt='.', label = 'Data-2016', color = 'black' )\n",
        "\n",
        "plt.hist(Mww_back, label = label_back, bins = bin, weights = weights_back, range = range_, stacked = True, histtype = 'bar', linestyle = '-')\n",
        "plt.legend(loc = 'best', fontsize = 13)\n",
        "#plt.yscale('log')\n",
        "plt.xlabel('Pt dos Jatos')\n",
        "plt.ylabel('# Eventos')\n",
        "plt.title('Background')\n",
        "\n",
        "\n",
        "# Signal\n",
        "plt.subplot(122)\n",
        "Mww_signal = [ A01[var], A02[var], A03[var], A04[var], A05[var], A06[var], A07[var], A08[var] ]\n",
        "label_signal = [ 'Anomalo 01', 'Anomalo 02', 'Anomalo 03', 'Anomalo 04', 'Anomalo 05', 'Anomalo 06', 'Anomalo 07', 'Anomalo 08',  ]\n",
        "weights_signal = [ A01[b'weight'], A02[b'weight'], A03[b'weight'], A04[b'weight'], A05[b'weight'], A06[b'weight'], A07[b'weight'], A08[b'weight'] ]\n",
        "\n",
        "\n",
        "plt.hist(Mww_signal, label = label_signal, bins = bin, weights = weights_signal, range = range_, histtype = 'step', linestyle = '-')\n",
        "plt.yscale('log')\n",
        "plt.legend(loc = 'best', fontsize = 13)\n",
        "plt.xlabel('Pt dos Jatos')\n",
        "plt.ylabel('# Eventos')\n",
        "plt.title('Signal')\n",
        "\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 569
        },
        "id": "dHISRhWUJrLz",
        "outputId": "85966e97-db6f-449c-bfb2-bd3084cd0064"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Signal')"
            ]
          },
          "metadata": {},
          "execution_count": 36
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1296x576 with 2 Axes>"
            ],
            "image/png": 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d5Nn0hbU28d0buNz5Afh78gCQMSYAmOVCe9PkCSZNTbRpjjEmxWgTY8xTwLM52RYRERG3WGvjgXc9b8sA84wxmfkBPxZo5Hm9zlq7P4PzWOCNRJuWGGNuSVzGGFMMZ8n5nB7dmDgPRq9U+hXGGPMQsDjR5uuS99dEJCXlzBDJOfcl/zGdSHGcH9T3cXl51fPAoESjIj7EWbUEYKUxZgnOD+2EYwNxsnUfwklcVRToa4z5HXjPWvultdYaY/4P+Aa4FidrdmtjzHqcFVSqAt25nGTyA5z8HJlirT1jjBnB5S/gN40xaz2rtAA8gzO8sypOfo2txpi1wE84S5G1xwl0rMWZapOwQkuWJfqsX3s+66NAU2PMpzhTd+oB7YBqnkNOA/+XSlUruJzgdBBQzxjzvqf8nUBfoBwwHWeqTU6Zg7Mk3f04f84rPX9uG3H+776byzlVooC0VpURERHJT8bgjEKogrOs+G5jzOvARzjLmR/F+Z67HudGzGCc/hI4ic2HZvI8s3Fu+DyAk1tqozFmNc6No8o4fYJ6OCuCbcb5Hs1WHyQD0TifyQ94HKhrjPkY+A24AWdkbENP2QM4/ZSywAfGmA+ttTNzoE0ihYKCGSI5p4/nkRnxQO9k8yjn4Xx5B+Hkb0itrq9xghGvAY/h/IgfjrMaxpcA1tqfPCM7luJ0HG4k9eSVUcCT2VjC9T1gjaetN+KMFPi759xHPef+CPDHCWo8nsp5e3I5kdcZsslau90Ycy9OUKYKzjrzT6RS9ADwsGeqTPI61hljJgGjPJvu9TwSewVndEaOBTOstZeMMV2BJTgdsSI4Ha/ko3Texvm7omCGiIjke9bag57v6hU4Sa6vBV70PAD+wJm+mnxq7FGcZOQ/kgmemxzdgPdxbgxcCzzseSTYiZOjLGGUY7b7IOm047gx5nGcm1TFgaaeR2LxwFOe5yjPtg5AfUDBDJE0aJqJSN45hXN3YAJwk7V2ZeKdnqBCP6AzTjAgBiefQxzOF+JjQDNr7S9Af5wRFaeBPZ5H4rq+wpnK8hzOHYLjOEu9/ogzqqKztbaztTbLq52kkgx0TOJkoNbaHUADYDSwCaejcMrTjn44nYgzXB4xcUUdCc+0kTo4o0I+x+n8XMBZ0u0zYARQx1r7TTp1jMYJGqzAuZYJ1/0D4F5r7RjSXybWFdba0zidmUdx8p8cwvksh3FykgRaawfnRltERETcYq3djjNt5EUg+ZSRUiQNZBzBydFVz1r73yye5zTwIM6oynVc7v9s95z7Dk8/xZU+SDrt+AinbzILJ9/HGeAkzk2pccCN1tpIT19wIM5Nl+M4I2tFJA0m6zdhRUTc5Vle9qjn7QANqRQREbk6GGOK4Ez3uA1n2qwPzs2ZozijNrdbay+kWYE7bdiCc+NlgbW2V06eS0Tco2kmIpIjPCuBJKzSstlauzmd4omTb6WY+iEiIiKFk7X2Ek6SzG0Zlc0KY0wvnGm6hzwjI9Iqdx2X85epDyJSgCiYISI55Q+cLOElceZ/dk6n7DOJjkm+uoiIiIhIVv0VaAvEG2MqWmvPp1FuIE5fBeDTXGmZiLhCOTNEJEd4VjT5zPP2QWPM/amV8yTnSshSvsxa+3tutE9EREQKtdWeZ1/g+dQKGGPq4eTSAic31he50C4RcYlyZohIjjHG3IqT6LMUTsKtfwOf4GTrroezHFlPnERf54AG1tpdedNaERERKSyMMWVxRnvW82xaBkTiJNe8AWeK65M4OToAnrDWzs3tdopI9l3VwQxjzNX74UVERDJgrU2+NKLkAPVHRERE0pZWf0TTTERERERERESkQFEwA7DWJnn89a9/TbEtK4/bb78928deybkL4rG6VrpeOXWsrlXuXKuC+pn1dyv9h+SN/PL3tCD9Xc0P16sgft6CeK10vQr/sQXxWul65eyxGVEwQ0REREREREQKlCtamtUYUxy4YJ31oRO2/R/wIHAS+MRau/iKWigiIiKFjvoQIiIiciWyNTLDGHOrMeZ/wCmgcqLtk4EwoCvwf8ACY8w0NxoqIiIiBZ/6ECIiIuKGLAczjDG1gP8BTYHiibb7A8M9b98HFuIstzjIGNPqilsqIiIiBZr6ECIiIuKW7IzMGA2UALYCDwC/erZ39dT3mbW2u7W2F/AKTmdkoAttzTWBgYEF8twF8dgrURA/r/5u5d6xV6Igfl793cq9Y6/E1fZ5U1Ho+xBu0r/r3Dv2ShTEz1sQr9WVHn+1Xa+CeOyVyMs263rlzrGpMZnJEprkAGO2APWB1tbaLxJt/wS4F+hnrZ3j2RYA7AS2WWsbuNZqlySs657Va5CRO+64g2+++cbVOgsrXaus0fXKPF2rzNO1ypqr4XoZ4yznbtNY1/0K6i00fQg35UR/5Gr4e+omXa/M07XKGl2vzNO1ypqr4Xpl1B/JTgLQWp7n7xKdpCjQzPN2TaKyez3PN2TjPLkmJCQkxbbAwMD8dCdLREQkRyxfvpzly5fn1ukKXR9CRERE8kZ2ghmngFKex++ebS0AH2CPtTYuUdmSnucL2W5hLggLC8vrJoiIiOSJ1IL3s2bNyqnTFbo+hIiIiOSN7OTM2ON5vi/Rtr8AFliZrGwLz/P+bJxHREREChf1IURERMQV2RmZsRing/GWMcYH5+5KL8++9wGMMUWAVsA/cToohXsyj4iIiGSG+hAiIiLiiuwEM2YCTwF1cNaDByfb+Fpr7XrP++HAa57tFph8Zc0sWFLLwSGp07XKGl2vzNO1yjxdq6zR9boi6kOkw80cXvp7mjW6Xpmna5U1ul6Zp2uVNYXtemUnh1eWVzMBMMaUA6bgZB4vjZOwa7C19qhn/0iczsdRINham3zoaL6QU6uZiIhcTfxHRblaX+ykTq7WJ1mXU6uZeOouRyHoQ7hJ/RERkZwzZcoU4uPjXavP19eX4cOHu1afpC0nVjPBWnsS6JdOkSXACuBna60Sd4mISI7w9/fnl19+8b4PCAigU6dOvPzyy5QuXTpLdcXGxlKrVi2staxfv57g4GBiY2PTPeaNN97g73//O9u2baNq1are7fv27ePmm2/mn//8J48//niW2lHYqQ8hIiK5KT4+ntDQUNfqy05dgwYNYsaMGSxYsIAePXq41hY3GGOIiYnB398/S8dt2LCBwYMH8/PPP9O8eXPCw8OpUqUKACtXrmTMmDHs2LGD66+/nkGDBvHMM894gxNuyU4C0AxZa3+x1u5QJ0RERHJaeHg41lrOnTvH4sWL+e677wgMDMyVu9zDhg2jfv36DBkyJMn2IUOGcM8999C3b98cb0Nhoz6EiIgUJmfPniUyMpJ27doxe/bsvG6OK+Lj4+nYsSMjRowgJiaGunXreoM0v//+O127dmXgwIEcPHiQd999l/Hjx7N+/XrX23HFwQxjzI3GmPbGmKeMMU8bYzoYY250o3EiIiKZVaxYMRo3bsySJUuIjo5m7dq1tGnThrCwMO666y7vkNBFixZxyy23ULp0ae655x5++OGHbJ+zaNGihIeHs3LlSj744AMAli5dyrp165g5cybGGC5dusSIESOoVKkSJUuW5NZbb+XTTz8FnNEgfn5+fPLJJzRq1IgyZcrwxBNPcOHC1fE7Xn0IEREp7JYtW0alSpWYOXMmn3zyCQcPHvTuCw0NZcSIETzzzDNUqlSJGjVqsHDhwiTHNmzYEB8fH5o1a8aGDRu8+4wxLFmyhJtuuomqVasyZ84cJk+eTOXKlalcuTLvv/++t+yrr75K9erVKVGiBHXq1GHRokWptnXDhg3cdddd+Pj40KhRI5YtW5ZquSVLltCwYUP69u1L+fLleemll/j666/Zs2cPxYoVw9fXN0k7r7nmGsqVK5fdS5imbAczjDGPGmO2ATuBVcBbOHNgVwA7jTHbjTFd3WmmiIhI5lSqVImmTZuyceNGACZPnszUqVN59dVX+d///seAAQN46623OHjwIPfffz8PPvggZ86cyfb56taty0svvcSgQYPYv38/gwcP5rXXXqNGjRoArFq1itmzZ/Pxxx9z4MAB7rnnHkaMGOE9/tSpU8yePZvVq1ezbNky5s+fz6pVq67sIuRz6kOIiMjVIiIigpCQEAICAmjWrBnz589Psn/27Nk0aNCA7du3e0c0AOzYsYOePXsyYcIE4uLi6NevH506deL48ePeYxctWkR0dDT9+vXzTo/dsmUL7du3Z8KECQBs3bqVcePGMXfuXA4dOsRf/vIX+vfvn6Kdx44do2PHjvTr14+4uDgmTJhAz5492blzZ4qyu3btonHjxt73Pj4+BAQEsHv3booVK8aiRYvo378/1113Ha1atWL06NE0adLEjcuZRLaCGcaYccAioB5OtvE/gR3AVuAPz7a6wGJjzGh3mppzQkJCUjyymklVRETyj8qVK7N//34AnnjiCZo3b07x4sUJDw9n4MCBtG3bFl9fX8aOHUvp0qWvaHQGwNChQ6lVqxa33XYbAQEBSTKMt2jRgu+//54mTZrg4+NDtWrVOHHihHf/+fPnmTBhAtdffz1t27aladOmHDt27IrakxXLly9P8R2YkwpbH0JERCQtcXFxrF+/nieeeAKAoKAgZs+enWQqbP369QkODqZChQoMGjTIG6xYtGgRgYGBPPLII5QtW5b+/fsTEBCQ5IbH0KFD8fPzIygoCGsto0ePpmLFivTs2ZOTJ08CULNmTXbs2EHbtm0pU6YMNWrU8O5LbOXKldStW5cBAwZQtmxZHn74YTp16sTixYtTlD1+/Dhly5ZNsq1MmTIcPXqUgwcP0qtXLyIjI/ntt99YvXo1r7/+Ot99992VXs4UspwA1BhzFzDe83Yd8KK19stkZVoALwGtgYnGmLXW2q+utLE5JSwsLONCIiJSYBw6dIiGDRuyfft2qlWr5t2+d+9ewsLCeOmll5KU/+WXX7xJq7KjaNGiTJs2jTvuuIM33niDIkWKJNk3efJkoqOjKV68eJKhlwlq1arlfV28ePFstyM7Ulv6c9asWTlyrsLYhxAREUnL3LlzOXfuHA0aNACcGxjHjx9n8+bN3pEKafUBDhw4kGQfQO3atb03awBvHyfhuOrVq6eoJ+Fmzpo1a7DWJukXJZaZ8yUoX748p06dSrItPj6eChUqsHLlSm699VZ69uwJwH333cejjz7K+++/z2233ZbqubMrO6uZPO15Xg88YK29mLyAtXaDMeZ+nI5KS+BJQB0RERHJcYcPH+arr75i7NixrF69OklgoWrVqrz66qs899xz3m1HjhzB19eXuLi4KzpvhQoVkjwneP755zl48CCrV6/G19eXlStXeoeQJkjcxkJOfQgRERe0nLSOAyf/cLXOauVK8eWodq7WeTWz1hIeHs7UqVPp1q2bd3tQUBBz5szxBjPS6gNUq1aNrVu3JtkWExOT4gZERqZPn86aNWtYunQplSpVYtu2bbz33nupnm/p0qUpzteoUaMUZQMCApIkMz19+jR79uwhICCA2NjYFEnYrbVcunQpS+3OjOwEM+4GLM7dlBSdkATW2gvGmLE4HZaUVyATjDFFgMeBEOBm4DzOMNR/AFE22VUyxnQDngEa4gxb/RJ4wVq7KTvnv9q1adMGIEcyz4qIuO38+fNs3bqVIUOG0Lx5c+69914mTpyYpEyfPn0IDg6mXbt23gRYI0aMSLK8q9sOHjxIiRIluHDhAhs2bODll1/m9OnT/P777zl2znws1/oQIiLZVRACBQdO/kHspE6u1QfgPyrK1fqudhs3biQmJoa+ffsmSX7Zu3dvnn32WV577bV0j+/evTuvvPIKH374Ie3atWP+/Pns3LmTBx98MEvtSOiHAGzatMmbS+Pw4cNUqlTJW65Dhw4MGTKEsLAwevXqxdq1a1mxYoW3fPK2jRw5kvnz59OhQwfGjx9P06ZNufHGGylWrBjPPfcc8+fP56GHHiI6OpoFCxawZs2aLLU7M7ITzEj4xN9nouxmz3P9rJ7EOIvQzgV64wQmvgeKA/cAbYGJwLhE5YfhJA8D2AaUAzoD7Y0x7ZIPYxUREXe43ZnKqn79+tGvXz/AGQ4ZGBjIyy+/nOpa5u3atSM0NJTevXuzb98+GjZsSFRUFNdddx3x8fE50r4XXniBoKAgatSoQePGjRk/fjzPPvssTz/9NGPHjs2Rc+ZjudKHEBG5EgoUFC6+vr6Ehoa6Wl9mRERE0KFDhxSreHTp0oWQkBA++uijdI+vV68ekZGRjBkzhtjYWOrXr09UVBR+fn5Zau+wYcPo1asX/v7+1KlTh/Hjx3PmzBn69OnD6tWrveX8/PyIiopi2LBhDB8+nFq1ahEZGUm9evVS1Onr60tUVBSDBw9mwIABtGzZkgULFgBwww038OGHH/Lss8/y5JNPUqtWLf79739z5513ZqndmWGSDwHJ8ABjdgI3Ag2ttdsyKHszzkiK3dbaOlk8T2dgOU5gor219oBne32cOzV+QANr7TZjTAUgDrgEtLPWRnuCIUOAN4FN1toUE3SMMRZIMQxGHBqZISJydUoIBFlrU0aErqzeXOlDFDTqj4jkL/6jonIkmOFmnQWhjSJXKqP+SHYm6SakfO+eibIJZbKTJr615/nlhEAGgKfzMwMn23krz+ZeOKM2Jlproz3lrLV2GvAJ0MQY0zAbbRARkavYqFGjMMak+ciJIZOFXG71IURERKSQy04wYzVOIGGcMSbYpDKO1zieAF7AmRubnd7etensS8ge4uN57uV5/iCVsh8kKyMiIpIpkyZNwlqb5uO+++7L6yYWNLnVhxAREZFCLjs5M/4N9AOael4/Z4xZA8R69tcE7sVJ2GmArz3lsuoD4ClgjDFmfaJpJjcDA4FzwEpP2VrAKWB7KvVs8DzXzkYbRERExD251YcQERGRQi7LwQxPhvGOOMk5OwD1gLrJiiXcafkYeNxaez4b51ltjHkMeBfYbYz5HigG3ArEA/dZa3/yrHhSCdibfHUTj2Oe5+uz2gYRERFxT271IURERKTwy87IDKy1x4FOxpgWQCcgwPMwwG7gZ2CltfbzK2yfBU4D5YG7Em0/ibNMK0AFoChwIo06Mgxm3HHHHZluUEhICCEhIZkuLyIikh+EhYURFhaW183IzT6EiIiIFGLZCmYksNZu4PI0Dld55svOxunYBANf4OTReAh4BVhrjLkb2JdBVUU9z8XSKvDNN99caXNFRETytawE41Nb1tZtOdmHEBERkcIvywlAjTH/McZkev6qMWaWMealLJ6jBPA6cBboYK1dbq09Ya3db62dAfQHSgMTcUZeXMQZvZGahO0Hs9IGERERcVdu9CFERETk6pCd1UyCPY8MebKU9wQGZPEcdYGKwFfW2t2p7H8PJwFoS5ypKEeACqllRceZhgIKZoiIiOS1YHK+DyEiIiJXgQynmRhjGgGNU9n+OJeTdKV6KHAb6S+xmpaEpVfPpLH/AvBnonJ7gBZAA2BLsrItPM8x2WiHiIhkJNTX5fri3a1P8kwe9SFERES8Dk76iosn/3StvqLlSlBlVNMsHTNo0CBmzJjBggUL6NGjh2ttcYMxhpiYGPz9/bN03IYNGxg8eDA///wzzZs3Jzw8nCpVqhAREUG/fv1SlG/bti3r1q1zqdWOzOTMeARnrfcECSuGRGThPF9koSzADpyRF3caY3ystaeT7b8dKAOst9ZaY0wkTtDiEVIGMx72PM/PYhtERKSA2LhxIxMmTGDTpk2cO3eOW2+9lREjRtCpUydvme3btzN27Fi++eYbTpw4QcOGDQkNDeX+++8HSPHl6+PjQ5MmTfj73/9O69atc/0zFRJ50YcQERHxunjyT6pPutu1+vaPylp+6rNnzxIZGUm7du2YPXt2vgtmZEd8fDwdO3bkrbfeomPHjowfP54ePXrw2WefERwcTHBwsLestZYHHniAESNGuN6OzAQzYoHPEr1vjdMZ+SzV0in9DLyYlUZZa88bY2YDfwXCjTF/tdaeBDDG1AXCPUUT5t3Ox8mxMcYYs9paG+0ZnjoEuB/42lr7Q1baICIiBcO7777LU089xcSJE3nnnXcoXrw4H330EU888QQjRozg+eefJzo6mg4dOjBmzBimTZtG6dKlWbx4MV26dGH9+vU0bercYalZsyaxsbEAHDlyhMWLF9OxY0dWrFhB27Zt8/BTFlix5HIfQkTkahEaGupyjXe6XJ8ALFu2jEqVKjFz5kzq1avHwYMHqVKlCuD8GZ46dYoiRYowZ84cSpQoweuvv+4NeCxbtoznn3+emJgYGjRowD/+8Q9atHAmHhhjWLx4MaNHj+bMmTNMmjSJX3/9lTfeeAOAGTNm0LVrVwBeffVVpk+fzpEjR6hZsyYTJ07kscceS9HWDRs2MHz4cLZu3Urt2rWZOHEiDz30UIpyS5YsoWHDhvTt2xeAl156iYoVK7Jnzx5q166dpOyCBQu4+eabefDBB126opdlGMyw1s7GWVUEAGPMJc/2nO7VjQSaAt2ADsaYH3GGm96Ms0LJbGCepy3HjTGjgCnABk/Z8kBVnCSiQ3K4rSIikgeOHj3KkCFD+Oc//+n9QgUICgqiVq1a3HfffXTt2pVhw4YxcOBAnnvuOW+ZkJAQtm3bxoIFC7zBjMQqVqzIwIEDiYmJYdy4cXzxhQYIZFUe9iFERAo9t4MZEaOiXK1PHBEREYSEhBAQEECzZs2YP38+I0eO9O6fPXs2b7zxBtu3b2fChAkMHDiQHj16sGPHDnr27Mm8efO49957iYyMpFOnTvz888+UL++scbFo0SKio6OZMmUKwcHBPPXUU2zZsoWRI0cyYcIEunbtytatWxk3bhwff/wxjRs3ZubMmfTv3z9FMOPYsWN07NiRSZMm0bt3b9atW0fPnj3ZvHkzderUSVJ2165dNG7c2Pvex8eHgIAAdu/enSSYcfLkSV566SW+/PLLHLiy2VuadQ6Xh4nmGGvtb8aYO4FhOFNFbgF+B9YB/wSWWmttovJTjTH7gWeBhjjTVJYDYzUqQ0SkcPriiy8oUqQIffr0SbHvnnvu4ZZbbmHFihV89dVXzJkzJ0WZqVOnZniOTp06MW3aNC5evEjRokUzLC/pypU+hIjIldKoB3FDXFwc69ev9/ZBgoKCmD59OiNGjPAug16/fn3vtIxBgwYxbdo0wAlUBAYG8sgjjwDQv39//vWvf7Fq1Spvv2fo0KH4+fkRFBTEyy+/zOjRo6lYsSI9e/bks8+cQZA1a9Zkx44d1KpViwsXLlCjRg1OnjyZoq0rV66kbt26DBjg5N1++OGH6dSpE4sXL+b5559PUvb48eNUrFgxybYyZcpw9OjRJNvGjRtHcHAwvr4u51fzyHIww1obnAPtSOtc54HJnkdmyi8BluRoo0REJN/YtWsXtWvXJvXFrODGG2/k008/BaBGjRrZOkflypU5d+4cR48e5frrr892WyV3+xAikv+0nLSOAyf/cLXOauVK8eWodq7WCVfvqAe3P7evry/Dhw93tc6CZO7cuZw7d44GDRoAcP78eY4fP87mzZtp0qQJALVq1fKWL168uPf1gQMHkuwDqF27Nvv37/e+r1atWpLjqlevnqKe4sWLEx4ezpo1a7DWeo9JLjPnS1C+fHlOnTqVZFt8fDwVKlTwvj9z5gzz5s1j9+7UFid1R3ZGZgBgjCmGs3pImcyUt9Zmdn6siIhIptSsWZN9+/aluX/v3r0EBgayatUqDh48yI033phk/y+//MJXX31F9+7d06zj0KFDFC9eHD8/P9fafbVTH0Lk6nTg5B/ETuqUccEs8C8gQYJr+dPVtl6Le6tzJOZ2MMP9ES4Fh7WW8PBwpk6dSrdu3bzbg4KCmDNnjjeYUaRIkVSPr1atGlu3bk2yLSYmhsDAwCy1Y/r06axZs4alS5dSqVIltm3bxnvvvZfq+ZYuXZrifI0aNUpRNiAggNmzvbNIOX36NHv27CEgIMC7bcWKFdx3333eKTE5IVvBDGPMYOA1oEQmD7HZPVduCAkJSbEtMDAwy39RREQkd7Vo0YL4+HiWL1/u/T/7119/5d1336V58+b8+OOPzJ49m9mzZzN37twUnaqpU6fy448/phvMWLFiBXfeeWehnWKyfPlyli9fnmvnK2x9CBGRzOhe8gdXf9g7dXV1rb6csvhsI9dHpeTUaBy3bdy4kZiYGPr27Uu5cuW823v37s2zzz7La6+9lu7x3bt355VXXuHDDz+kXbt2zJ8/n507d2Y5kebBgwcpUcL5yt20aRMTJkwA4PDhw1SqVMlbrkOHDgwZMoSwsDB69erF2rVrWbFihbd88raNHDmS+fPn06FDB8aPH0/Tpk2T3DRauHAhnTt3zlJbsyrLnQNjTEdgWqJNR4EzrrUoD4SFheV1E0REJBuqV6/O5MmTeeKJJ5g8eTKdOnXijz/+4F//+hejR49mzJgx3HzzzUybNo1u3bpx7bXX0qdPH6699lqWL1/OP//5zxR3IRIkrGYyY8YMVq5cmbsfLBelFryfNWtWjpyrMPYhRCRvVStXyvXRGTk16uFqdIYSro/GaTlpXZb+zL+gbLrlcyo4EhERQYcOHZIEMgC6dOlCSEgIH330UbrH16tXj8jISMaMGUNsbCz169cnKioqyyNFhw0bRq9evfD396dOnTqMHz+eM2fO0KdPH1avXu0t5+fnR1RUFMOGDWP48OHUqlWLyMhI6tWrl6JOX19foqKiGDx4MAMGDKBly5YsWLDAu//UqVOsXLmSSZMmZamtWWUS5dDM3AHGrAPaANuB7tbabTnQrlxhjLHgDAGSlNq0aQPA+vXr87QdIiIZWbt2La+88gpbtmzh999/p1GjRtxzzz3MmzePDz74gNtvv52vvvqKF154gc2bN/P7779Tv359nn/+ee8P+YiICPr16+et08fHh8aNGzNx4kRat26dVx8tTyTkILHWpp6MJPv1Fpo+hJvUH5H8yu0cFwXljnpoaKjr0yOmTJlCfHy8a/XlRC6KnMhpci1/snWSuyNIsnote5xtQRlKuXb+ouVKUGVUylXQxH0Z9UeyE8w4BFQE7rPWfnqlDcxL6jykT8EMESnoNm3axE033YSPj09eN6VAycFgRqHpQ7hJ/RHJr/xHRbl+V70gyIlgxtUqJ66l23VerX/PC4KM+iPZmYN6ref562y2SUREJFckJNeSfEN9CBEREXFFdoIZu4BbgRo4w0RFREREMkN9CJEc4vY0BsedLtcnIuKe7AQzZgFvA48DY9xtjoiIiBRi6kOI5JD4+HjXh/O7vQqFiIibshPMeAdoDfzNGHMQmGGtvehus0RERKQQUh9CROQq4uvr63qQzdfX19X6pODKTjCjO7AU8AemAsONMf8D9gDn0jrIWptygVoRERG5mqgPIXIVy4mpMDmxqoe4R382kpOyE8xYACSk2zY4HRL/RNuSM5596oiIiIhc3a7qPoRx0rL/BPSw1m7O4+aI5LqcmAqjVUdErl7ZCWbMIe1OR4EUEhKSYltgYCCBgYF50BoREZHcs3z5cpYvX55bpyt0fYjMMsaUBJ4B6uR1W0QKE01jELl6ZTmYYa0NzoF25KmwsLC8boKISIHVcHZDV+vbErTF1fokfakF72fNmpUj5yqMfYjMMMY8DbwOFMvrtogUNprGIBmZNfgvnDpyOM39Q4A3evwz0/WVrViJv771HxdaJlcqOyMzRERE8o0DBw4wevRo1q5dy4kTJ6hVqxYhISE8/fTTjB8/noiICGJjY6/oHMYYYmJi8Pf3z3YdERERREREsH79+itqi1wZY0xRYB/wH2vt2HTKdcMZSdEQ+BP4EnjBWrspG6edD3wCVAPWZON4ERHJplNHDjNy4Yo09/uPiiJ2UqdM1/dGj85ZbsOgQYOYMWMGCxYsoEePHlk+Pidlt4+zYcMGBg8ezM8//0zz5s0JDw+nSpUqAJw4cYKnnnqK1atXU7p0aUaPHs3AgQNdb/sVBzOMMRWBO4DrgDLW2pnGmGustReuuHUiIiIZeOihh6hZsyYffPABt9xyC9999x1BQUGULFmS0NBQzafOx/KoD9EBqJJBu4YBUzxvtwHlgM5Ae2NMO2vtl1k5obX2KHDUGHM2y60VyWNu/h+q6RtyNTp79iyRkZG0a9eO2bNn57tgRnbEx8fTsWNH3nrrLTp27Mj48ePp0aMHn332GQDdunWjefPmvP322/zwww907tyZO+64g6ZNm7rajmwHM4wxzYB/AHcl2zUTuNUYswCYbK3VHA4REckRx44d47vvvmPGjBneL8i7776b1157jZ9++inJaIjQ0FBOnTpFkSJFmDNnDiVKlOD111/3dirCw8N56aWXOH36NIMGDWLFihW8+uqrtGnTJsk5v//+e55++mm+/fZbqlevzsSJE+nWrVu67VyxYgX9+vUDwN/fn9jYWLZv386gQYP4+uuvqVq1Ks8++yxPPvmkt8zLL7/MlClT2LlzJ61atWLmzJlUr17d5SuYN/KiD2GMKQt0Ad7IoFwF4FXgLNDOWhvtSdw5BHgTmA7c5la7RNyy+GwjIkZFuVpntXKlCB0V6mqdIlebZcuWUalSJWbOnEm9evU4ePCgdwRDRn2TZcuW8fzzzxMTE0ODBg34xz/+QYsWLQBnRMXixYsZPXo0Z86cYdKkSfz666+88YbzNTdjxgy6du0KwKuvvsr06dM5cuQINWvWZOLEiTz22GMp2rphwwaGDx/O1q1bqV27NhMnTuShhx5KUW7JkiU0bNiQvn37AvDSSy9RsWJF9uzZw5kzZ4iJiWH16tUUKVKEtm3bsmfPHkqVKuX6tS2SnYOMMT2AL3A6IQbnC98kK3Yj8E9jzMtX1EIREZE0+Pr6UrduXZ5++mnee+8975J/3bp1Y+zYlDMIZs+eTYMGDdi+fTtdu3b1DnncsGEDI0eOJDw8nG3btrFv3z6++eabFMefOnWK9u3b06NHD+Li4pg8eTJBQUGplk2sc+fOhIeH07p1a2JjYzl37hydO3emZcuW7Nu3j7CwMJ577jk+/fRT7zFjx47ln//8J7t27aJMmTL07dsXawt+7sy86EMYY5YA8TgJSCtmULwXUByYaK2NBrCOaThTRZoYY7yJYowx16T1cKPtIpl1hhLETurk6uPLUe3y+mOJFHgRERGEhIQQEBBAs2bNmD9/fpL9afVNduzYQc+ePZkwYQJxcXH069ePTp06cfz4ce+xixYtIjo6mn79+hEcHExsbCxbtmyhffv2TJjgLAS2detWxo0bx9y5czl06BB/+ctf6N+/f4p2Hjt2jI4dO9KvXz/i4uKYMGECPXv2ZOfOnSnK7tq1i8aNG3vf+/j4EBAQwO7du9m0aRM33ngjTzzxBOXLl+fGG29k2bJllC1b1o3LmUSWgxnGmACczkARnPmjTYHkLfseZ56pBf5mjLn9CtspIiKSwjXXXMN3331H7969efvtt6levTpNmjRh8uTJ/PHHHynK169fn+DgYCpUqMCgQYO8HYKIiAj++te/cvfdd1O+fHlef/31VM8XFRXFTTfdxMCBAylbtiyBgYH06tWL1atXZ6ndGzdu5I8//iA0NJRy5crRunVr/u///i9JB2fYsGHccccdVKpUibfffpvPPvuMuLi4LJ0nv8nDPsQGnFEfM4H1GZTt5Xn+IJV9HyQrA3A+jcf/stlWEREpJOLi4li/fj1PPPEEAEFBQcyePTvJzYm0+iaLFi0iMDCQRx55hLJly9K/f38CAgJYtWqV99ihQ4fi5+dHUFAQ1lpGjx5NxYoV6dmzJydPngSgZs2a7Nixg7Zt21KmTBlq1Kjh3ZfYypUrqVu3LgMGDKBs2bI8/PDDdOrUicWLF6coe/z48RTBiTJlynD06FHi4uJYs2YNrVu35pdffmH27Nkpbti4JTsjM0bgZOPeiDP88htr7cXEBay1F6y1/wBewbnbMuKKWyoiIpKK0qVLM3ToUNatW8exY8d4+eWXWbx4MS1btkwxkqFWrVre18WLF/e+3rdvX5J9ZcuWxc/PL8W59u7dy5dffokxxvv497//zS+//JKlNh84cIAbbriBokWLerfVrl2b/fv3e9/XqXN5Bc8KFSrg5+eXZH8BlSd9CGvtP6y1A6y1A4DZGRSvBZwCtqeyb4PnuXaiuk0ajzuutN0iIlKwzZ07l3PnztGgQQMqV67MqFGj2LJlC5s3b/aWSatvcuDAgST7IGVfoVq1akmOS5iOmrie4sWLEx4eTosWLbj77rv54IPUYvWZO1+C8uXLc+rUqSTb4uPjqVChAqVLl6Zp06b89a9/pUyZMrRq1YpevXqxYkXaSVizKzvBjDY4d0vGZCJBV7jnuUk2ziMiIpKujz/+mICAAG/Qonjx4nTo0IE333yTTZs2ceLEiSTlixRJ/WuvatWqSVY8OX36NMeOHUu1XIcOHbDWeh8nT55McyRHWqpVq8bevXu5ePHy7/iYmBhvpwRI0p6TJ09y7NgxqlatmqXz5ENtyMd9CGNMEaAScMymPqcn4S/F9bnVJhERKZistYSHhzN16lQ2b97M5s2b2bp1K+3bt2fOnDnecmn1TapVq5ZiNbbkfYXMmD59OmvWrGHp0qVER0d7p59cyfkCAgKSBGROnz7Nnj17CAgIwN/fnz///DNJ+YsXL+abnBn+nudvM1H2gOf5hmycR0REJF3Nmzfn3LlzDB48mJiYGE6fPk10dDTTpk3jtttuo3z58pmqp3fv3syaNYsvv/ySkydP8re//S3VzkXHjh35+uuvWbx4MadPn+aLL76gdu3a/O9/mZtR8Ntvv2GtpWnTppQsWZIJEyYQHx/Pf//7X2bNmkWvXpdnL7z22mv88MMPHDlyhIEDB9KiRYvCkADU3/OcX/sQFYCiwIk09udoMOOOO+7I9CMsTPnVRUTys40bNxITE0Pfvn2pXLmy99G7d2/mzZvH+fPn0z2+e/fuLFu2jA8//JDffvuNmTNnsnPnTh588MEstePgwYOUKFECgE2bNvH8888DcPjw4STlOnTowE8//URYWBi//fYbS5cuZcWKFakmOe/evTs//PAD8+fP58SJE4wdO5amTZty44038sADD3Do0CGmTZvGb7/9xieffMKCBQu8yUjDwsIy/V2XkewkpzoNlACq4gzDTE/C0mf5elxsSEhIim2BgYEEBgbmQWtERAqWLUFb8uzcZcuWZe3atYwbN46WLVty7NgxKleuzAMPPMCKFSv4+OOPM1XPvffey9///nd69erFpUuX+Nvf/sYtt9ySYj5ohQoVWLZsGcOHDycoKIgqVaowadIk7rvvvgzPcffddzN+/HhuvfVWfvjhB1asWMHAgQN54403qFKlCq+99hr33nuvt/xf/vIX+vTpQ2xsLHfffTfz58/HWVTDXcuXL2f58uWu15uGgt6HSJgXVCw7B1trY0mZ7NQro0SyUni0nLSOAydT5vW5EtfyZ8aFRK5CZStW4o0endPcPwR4o8c/s1RfZkRERNChQwfKlSuXZHuXLl0ICQnho48+Svf4evXqERkZyZgxY4iNjaV+/fpERUWlOg02PcOGDaNXr174+/tTp04dxo8fz5kzZ+jTp0+SnF9+fn5ERUUxbNgwhg8fTq1atYiMjKRevXop6vT19SUqKorBgwczYMAAWrZsyYIFCwAoUaIEH3/8MU899RRjxoyhZs2aREREcNttzkJgISEhqf7+Tk1G/R6T1czoxpiVwAPAS9baFxJtv4ST8Ltoom0DgbeAJdbalGu/5DFjjAUKRXb4nJCwHOH69evztB0iIjlt9+7d/PHHHzRs6CxSceHCBa6//nq2bNmSJ1M7/P39iYiISLEsbG5J6DxYa12NnuSHPoQxJhhnCstL1tqxyfYVAc4B+6y1tVI5tgawF/jcWnuPi21Sf+Qq4z8qithJnVytMzQ0lNDQUFfrFLka5MS/R3FHRv2R7EwzicC5qzDKGNMnnRM3BsbjzI3N3K0xERGRPLBt2za6dOnCL7/8wqVLl5gyZQq1atXyrgOfkbNnzyZJCpr80apVqxz+BAVGBPm4D2GtvQQcASqY1G8HVfA8H8ytNomIiEjqsjzNxFq7yBjTG3gImGOMGQSsS9hvjBkFNAIexRmG+SVO50UKmPj4eOLj44mOjqZ58+Z53RwRkRwTGBjI5s2bad68ORcuXKBOnTpERERkelpHyZIldVc9EwpIH2IP0AJoACSfQ9XC8xyTqy0SERGRFLKTMwOgJ/Am8FegGXCXZ7sBXuLyfNBlQHDyZdck72U0dDk+Pt6bobZVq1Y0atQIX1/fdI/RdBQRKaiMMbzwwgu88MILGRfOBcmziRcy+b0PEYkTtHiElMGMhz3P83OzQSIiIpJStoIZ1tqzQH9jzBSgG1AXqIOT1Gun5xFlrY12q6GSu+Lj472vL126RHx8fIbBDBERkYwUgD7EfOB1YIwxZrW1Ntoz5WQIcD/wtbX2hzxqm4iIuOxa/sR/VJSrdVYrV4ovR7VztU5JKbsjMwCw1v4ETHSpLZKLMhpFER0dTatWrbh06RKlSpVi3rx5mmoiIiKuya99CGvtcc90lynABmPMj0B5nBVYzuIENXKEVlcTEcl93Uv+4HryXLeDI1eD7KyuluVghjFmGhBurd2U1WOl4GjevDmNGjUiPj5egQwREXFFQelDWGunGmP2A88CDXFWOFkOjM3JURlhYWE5VbWIiEi+llrwftasWekek52RGYOBQcaYrThJueZZa3/NRj2Sz/n6+uLr66tAhoiIuCXP+xDW2ggykVTUWrsEWJLT7ZH8b8qUKUmm37rjTpfrExG5+mQnmLEHqI2T5Xsy8KoxZhUwG1hurT3nYvtERESk8FAfQgqc+Ph414egR2gIuojIFcvO0qwBxpjbgMc8D3+gM9AJOGmMmQ/MttZ+42ZDc5LmqIqIZN/2eje7Wt/NP213tT5JX3bmqGZXYexDiIhI/jZnzAZ+O342zf0VuYe3B6xLc39yZcqX5ImXW2RcUHJcdlcz+Q74DhhljGkK9AC6A9WBQcBAY8xPQDjOENKDLrU3R2iOqohIwfTWW2/xj3/8g59//hlnwQnHoUOHqFatGgAvvPACL774YpLjJk+eTEREBD/++GOS45Jbv349bdu2xVqb7TauX7+e4ODgK1puNeH4nFgCOztzVK9EYetDiIhI/vbb8bMMeiftlUVCQ0OzNPoqK4GPBIMGDWLGjBksWLCAHj16ZPn4nGSMISYmBn9//ywdt2HDBgYPHszPP/9M8+bNCQ8Pp0qVKgA8/vjjvPvuu0nKb9myhQYNGrjVbACKXGkF1tqvrLUjgZpAS2A68CtwM/AqsNcYo7F0IiLiul69enHgwAG+/PLLJNsXL15MnTp1mDp1Ku+++26KYMSCBQt44okn0g1k5CcRERE5EsjIa+pDiIhIYXf27FkiIyNp164ds2fPzuvmuCI+Pp6OHTsyYsQIYmJiqFu3bpIgza5du1i5ciXWWu/D7UAGuBDMSGAd0dbaoTh3V4bhLGFWFHjQrfOkxxjTzRjzP2PMGWPMcWPMcmNMk9w4t4iI5L4KFSrw0EMPMXfu3CTbE4IVffr0Ye/evfzvf//z7tu5cyebNm2iT58+WT6fMYYvvviCpk2b4uPjQ6dOnfjtt98AOHz4MN27d+e6666jRo0aTJs2LcXxERERtGnTJkWdCaM2wsLCqFWrFqVKleKuu+7ihx+chTNCQ0MJDg7m66+/pmTJkt5zAgwePJjg4GDAuUty11134ePjQ6NGjVi2bFmWP2NeyA99CBERkZywbNkyKlWqxMyZM/nkk084ePDygMPQ0FBGjBjBM888Q6VKlahRowYLFy5McmzDhg3x8fGhWbNmbNiwwbvPGMOSJUu46aabqFq1KnPmzGHy5MlUrlyZypUr8/7773vLvvrqq1SvXp0SJUpQp04dFi1alGpbM9uPWLJkCQ0bNqRv376UL1+el156ia+//po9e/YAsHv3burUqXNF1y0zsjXNJC3GmOZAV8/DH0i45fV7FuvJ7Hjettba9Z5jhuGsCQ+wDSiHMw+3vTGmnbX2y9QqEBGRgq1fv3707t2bN998k5IlS/LLL7/wv//9j8jISMqXL0+XLl2YM2eOd2WmhQsXcu+991K9evVsne+VV15h8eLFHD9+nPvuu4+IiAiGDBnC448/zg033MDu3bv57rvvCAwMpFmzZpmud8+ePQwaNIhVq1bRuHFjnnnmGZ599lk+/vhjb5k77riDqlWrsmrVKh577DEuXrzIkiVLiIyM5NixY3Ts2JFJkybRu3dv1q1bR8+ePdm8eXOudCiulFt9iIJMObyuLm4nFfX19XW1PhFxR0REBCEhIQQEBNCsWTPmz5/PyJEjvftnz57NG2+8wfbt25kwYQIDBw6kR48e7Nixg549ezJv3jzuvfdeIiMj6dSpEz///DPly5cHYNGiRURHRzNlyhSCg4N56qmn2LJlCyNHjmTChAl07dqVrVu3Mm7cOD7++GMaN27MzJkz6d+/P4899liSdmalH7Fr1y4aN27sfe/j40NAQAC7d+/muuuu49ixYzz11FN8+eWXVKtWjVGjRvGXv/wl3euUnRxeVxTMMMYUBdrgdDweBion7MJZk30lsBBnbfas+DiD/S2B0jhDUTHGVMAZjnoWaGetjTbO2OEhwJs4w1Zvy2IbRESkAGjfvj2lS5dmxYoVdOvWjUWLFtG6dWtuuOEGwAl29OnTh6lTp1K8eHEWLFjA3/72t2yfb8SIEdSsWZOaNWvywAMPcOzYMQ4ePMjatWs5fvw4ZcuW5f7772fhwoWUKlWK33/P3G/xc+fOYa3l2LFjlC1blnfeeSfJCAxw7sL07NmT999/n8cee4z//ve/lCxZktatWzNv3jzq1q3LgAEDAHj44Yfp1KkTixcv5vnnn8/2580pOdiHKLCUw+vq4nYwQ0Tyn7i4ONavX8+cOXMACAoKYvr06YwYMcI71bV+/freEZaDBg3yjuxctGgRgYGBPPLIIwD079+ff/3rX6xatco7unTo0KH4+fkRFBTEyy+/zOjRo6lYsSI9e/bks88+A6BmzZrs2LGDWrVqceHCBWrUqMHJkydTtHXlypWZ7kccP36cihUrJtlWpkwZjh49yqFDh7j99tt5+umnef/99/niiy/o1q0btWrVom3btmleq+zk8MpyMMMYUwJoj9P5eAhnBAQ4nY8LwGpgAfChtfZUVusHsNamOaTUGHM/8AAQaq1NSHnfCygOjLXWRnvqsMA0Y0wnnNEZDa21W7LTnoIiYehyYZxXLSKSlmuuuYYnnniCuXPn0q1bNxYsWMCQIUO8+9u3b0+pUqVYuXIlAQEBxMbG0rVr12yfr1atWt7XxYsXB2Dv3r34+flRtmxZ774uXboA6f+ffOnSJe/revXq8cEHH/Dmm2/y5JNP0r59e0aOHJmis9CjRw9atWrF2bNnWbRoEU888QRFihThwIEDSdoGULt2bfbv35/tz+q23OhDiIiIZIWvr2+WgosVuScT5e8EYO7cuZw7d86bL+L8+fMcP36czZs306SJkw0htX4FkKnv9YRk5wnHJYw6TVxP8eLFCQ8PZ82aNVhrvcckl5V+RPny5Tl1KunXdHx8PBUqVODmm2/mm28uL0r24IMP0rt3b1asWJFuMCM7sjMy4yjOqAhwOh+XgE9xOh8fWGuPu9S2FIwx5YEI4HPgpUS7enmeP0jlsA9wOk69gEIdzBARuVoFBwfTqFEjNmzYwE8//cSjjz7q3Ve0aFGeeOIJ5syZQ/369Xn00Ufx8fHJ9rmKFEmZbqpKlSocO3aMM2fOcO211wKwdOnSFIEIgAsXLnhf79u3z/v6yJEj1KpVizVr1nDy5EkiIiJo164dR48eTXJ8o0aNqF69Oh999BHvv/++d/5stWrVWLp0aZKyMTExNGrUKNufNQfkWR9CREQkNcOHD89S+bcHrMswmBExKgprLeHh4UydOpVu3bp59wUFBTFnzhxvMCO1fgU43+tbt25Nsi0mJibLUw+nT5/OmjVrWLp0KZUqVWLbtm289957qZ4vs/2IgICAJMlMT58+zZ49ewgICGDjxo3ExsYmSQh6zTXXULp06RT1XKnsJAC9FqcD8gUwGKhqrb3fWvvvXOiEvA34An2stRcSba8FnAK2p3JMQpaU2jncNhERySP16tXjjjvu4PHHH+eRRx6hTJkySfYHBwezcuVK5syZwxNPPOH6+WvUqMFdd93FyJEjOX78ONHR0Tz++OP8+eefScqVL1+er776ik2bNvHHH3/wwgsvcM01zn2Fbdu2cdttt/H5559jjMHX1xdjjHd/AmMMPXr04Nlnn6Vu3boEBAQA0KFDB3766SfCwsL47bffWLp0qXfqTT6Sl30IERGRXLNx40ZiYmLo27evNyln5cqV6d27N/PmzeP8+fPpHt+9e3eWLVvGhx9+yG+//cbMmTPZuXMnDz6YtbzYBw8epESJEgBs2rTJO2Xk8OHDScplpR/RvXt3fvjhB+bPn8+JEycYO3YsTZs25cYbb6RYsWL07duXBQsWEB8fz9q1a1m4cOEVjYpNS3ZGZowAFltrD7jdmPQYY+4BeuJML9mXaHsRoBKw1yZfe89xzPN8fc63UkTk6nPzT6nFkXNfv379CAkJYcaMGSn21a1blzvuuIPY2FjXhziCE2BYsGABTz31FP7+/vj6+vL3v/+ddu3aJZlm0qFDB3r27Mndd99NjRo1eOGFF1i7di0A99xzD8OGDePRRx/l1KlT1KtXjyVLllCyZMkU5+vRowfjx49PkvvDz8+PqKgohg0bxvDhw6lVqxaRkZHUq1fP9c97BfKkDyEiIlevMuVL8vaAda7WlxkRERF06NCBcuXKJdnepUsXQkJC+Oijj9I9vl69ekRGRjJmzBhiY2OpX78+UVFR+Pn5Zam9w4YNo1evXvj7+1OnTh3Gjx/PmTNn6NOnD6tXr/aWy0o/wtfXl6ioKAYPHsyAAQNo2bIlCxYsAOC2227jP//5D+PGjaNfv37UqVOH8PBw70gUN5nUf//nL55knv/DWYc+wFp7OtG+isBh4Dtr7e2pHFsS+APYbq2tn2yfBbj99hSHpSkkJCTVbOP5gds5M5SDQ0Sk8AgLC8t0gslvv/0WAGutyaCouCChP1IQ+mRXo9DQUNeTdfqPiiJ2UidX6xSR/EP/xt2RkCQ1rf5IuiMzPKMhsNZ+dgUNWOdUYe/Nbh1AN6ApMChxICOTinqei6VVIHGCEhERuTqcPXuWUqVKpbm/ZcuWfPHFF7nYopyVlWB8QufhSuSjPoSIiIgUQhlNM1mPk5wr1XLGmBjgkrX2xnTqaANk+1aDZ1TGGJycGBGpFDkGXATKp1FFwvaD2W2DiIgUPiVLltSd8Jy1njzuQ4iIiEjhlZmcGendnqlJzncymgKNgXestb8n32mtvWSMOQJUMMaYVPJmVPA8K5ghIiKSu/K6D1GgpDZyJjAwMMuZ60VERAqa5cuXs3z58iwdk50EoLntKc/zf9IpswdoATQg5fKrLTzPMS63S0RERMQ1mc1pIiIiUtikFryfNWtWusdkZ2nWXGOMKQP0AHYD6SW2iPQ8P5LKvoc9z/Pda5mIiIiIiIiI5JV8HcwA2gElgf+msexqgvnAn8AYY0xzcHJtGGOeBu4HvrbW/pDjrRURERERERGRHJffgxkdPM+fp1fIWnscGAWUADYYY7YA+4E3gbPAkJxspIiIiIiIiIjknnybM8OzismDnrfpBjMArLVTjTH7gWeBhsA5YDkwVqMyRERyztsD1rla36B32rlan4iIiFy9dre7l/Nxca7VV6xqVQLWrXWtPsm+fDsywzr8rbXGWrsnk8cssdbeZa0tba0tZ619SIEMEZHCaeDAgdx9991Jtv3f//0fPj4+/Pnnn95tM2fO5LrrruPixYuZqnf9+vU48fSMBQcHExoamuk2i4iISO46HxfHzT9td+2RncDIoEGDMMawcOHCHPiEV8YYQ2xsbJaP27BhA7fddhu+vr48+OCDHDyYcvHQc+fOceeddxIREXHlDU1Fvh2ZkZu0FJqISMFz//338+9//5s//viDUqVKYa1l1apVWGv57LPPuP/++wH4/PPPadeuHUWLFs3jFudP2VkKTURERDLn7NmzREZG0q5dO2bPnk2PHj3yuklXLD4+no4dO/LWW2/RsWNHxo8fT48ePfjss8+SlHvhhRf45pv01vG4Mvl2ZEZuCgsLS/FQIENEJH9r27YtFy9eZOPGjQBs3rwZgKCgIKKiorzlPv/8c+67775sn+f777+ndevW+Pj4UK9ePZYsWQLAM888w+zZsxk/fjzBwcGcP3+ewYMHU7FiRcqUKcMjjzzCqVOnsv8Bc0lgYGCK70ARERFxx7Jly6hUqRIzZ87kk08+STKCITQ0lBEjRvDMM89QqVIlatSokWT0xrJly2jYsCE+Pj40a9aMDRs2ePcZY1iyZAk33XQTVatWZc6cOUyePJnKlStTuXJl3n//fW/ZV199lerVq1OiRAnq1KnDokWLUm3rhg0buOuuu/Dx8aFRo0YsW7Ys1XJLliyhYcOG9O3bl/Lly/PSSy/x9ddfs2fP5QkVa9euZeXKlTRt2jTb1y4jmQpmGGNeSO2R0f7EZURERNxUrlw5mjZt6r0LsHLlSh588EECAwNZsWIF1lr27dvH3r17vaM0surUqVO0b9+eHj16EBcXx+TJkwkKCuKbb77h9ddfJygoiBdffJGIiAjeffddVq5cyZdffsmPP/7Izz//zNtvv+3mRy6Q1IcQEZGrWUREBCEhIQQEBNCsWTPmz5+fZP/s2bNp0KAB27dvp2vXrgwcOBCAHTt20LNnTyZMmEBcXBz9+vWjU6dOHD9+3HvsokWLiI6Opl+/fgQHBxMbG8uWLVto3749EyZMAGDr1q2MGzeOuXPncujQIf7yl7/Qv3//FO08duwYHTt2pF+/fsTFxTFhwgR69uzJzp07U5TdtWsXjRs39r738fEhICCA3bt3e+sKCQnh3XffpVSpUld8DdOS2WkmL6ax3WawX0REJMfcf//9SYIZw4YNo02bNsTFxbFz506+/fZbatasyY033pit+qOiorjpppu8HYvAwEB69erF6tWrueOOO5KUPXfuHBcvXuTYsWM0a9aML774gvRXFb9qqA8hIiJXpbi4ONavX8+cOXMAZ/To9OnTGTFihDc/V/369QkODgac3BrTpk0DnEBFYGAgjzzyCAD9+/fnX//6F6tWraJPnz4ADB06FD8/P4KCgnj55ZcZPXo0FStWpGfPnt7+Uc2aNdmxYwe1atXiwoUL1KhRg5MnT6Zo68qVK6lbty4DBgwA4OGHH6ZTp04sXryY559/PknZ48ePU7FixSTbypQpw9GjR7HW8uSTTzJkyBAaNWrkwlVMW0bBjL1c7myIiIjkK+3bt2fy5MkcOnSIb775hvvvv59SpUpx3333sWLFCnbv3s3999+fbkLPc+fOcfz4cSpXrpxi3969e/nyyy9THJ/aHY1+/fpx7tw5/vrXv/Lrr7/Sq1cvRowYga+v75V/0IJJfYgsUg4vEZHCZe7cuZw7d44GDRoAcP78eY4fP87mzZtp0qQJALVq1fKWL168uPf1gQMHkuwDqF27Nvv37/e+r1atWpLjqlevnqKe4sWLEx4ezpo1a7DWeo9JLjPnS1C+fPkUU2nj4+OpUKEC//73vzlz5gxPP/10qudJS3ZyeKUbzLDW+mepNhERkVzUtGlTrrnmGl5++WWaNm1KuXLlAOjcuTMLFizg8OHDjBs3Lt06Nm7cyD333EN8fDxly5Zl//79XHON8/VYtWpVOnTowMqVK73l4+PjU00mum/fPrp06cKQIUP45ZdfeOGFF+jbty9ffPGFex+4AFEfIuuUr0REpPCw1hIeHs7UqVPp1q2bd3tQUBBz5szxBjOKFEk980O1atXYunVrkm0xMTFZDnBPnz6dNWvWsHTpUipVqsS2bdt47733Uj3f0qVLU5wvtdEVAQEBzJ492/v+9OnT7Nmzh4CAACIjI1m9enWSvtJ///tfIiIiWL9+fZrtTC14P2vWrHQ/mxKAiohIgVWsWDHatm3LO++8Q4cOHbzbO3XqxOeff8727du59957062jTp06FCtWjKlTp3L06FEWL17snULSsWNHvv76axYvXszp06f54osvqF27Nv/73/+8xyfcmXj33Xdp3749e/bsoXTp0pQuXTrJnRERERG5emzcuJGYmBj69u3rTcpZuXJlevfuzbx58zh//ny6x3fv3p1ly5bx4Ycf8ttvvzFz5kx27tzJgw8+mKV2HDx4kBIlSgCwadMm75SRw4cPJynXoUMHfvrpJ8LCwvjtt99YunQpK1asSBKISdy2H374gfnz53PixAnGjh1L06ZNufHGG4mIiMBa6320bt2a8PDwdAMZ2aWlWUVE5IoMeqddnp6/ffv2LFu2LEkwo1q1ajRs2BAAPz+/dI+//vrriYiIYOzYsUyaNInbb7+d//znPwBUqFCBZcuWMXz4cIKCgqhSpQqTJk3yro7SuXNn+vfvz/nz55kwYQLfffcdjRs3xlpLs2bN+Oc//5lDn1pEREQyo1jVqmyvd7Or9WVGREQEHTp08I4aTdClSxdCQkL46KOP0j2+Xr16REZGMmbMGGJjY6lfvz5RUVEZ9muSGzZsGL169cLf3586deowfvx4zpw5Q58+fVi9erW3nJ+fH1FRUQwbNozhw4dTq1YtIiMjqVevXoo6fX19iYqKYvDgwQwYMICWLVuyYMGCLLXLDeZqTk5mjLFAoUnQ1qZNGwDXol5u1yciIgVDQo4Qa23ayUbENYWtP1LY3DLqfc5QwtU6q5UrxZej8jYQLCI5x39UFLGTOuV1Mwq8jPojGpkhIiKF2tmzZ9NdFqxly5ZXbV4LEcnYGUroR4mISD6kYIaIiBRqJUuW1B1vERERkUJGwQy0FJqIiFy9srMUmohbpkyZQnx8vKt1+vr6Mnz4cFfrFBGR/EfBDLQUmoiIXL2ysxSaiFvi4+MJDQ11tU636xMRyapr+RP/UVGu1qlcOykpmCEiIiIiIiLiku4lf3A9sOp2cKQwyFYwwxhzA/CntfZXl9sjueSNHp0zLLNv25ZMlwUYuXDFFbVJREQKP/UhRERExA1FsnlcLLAo+UZjzD3GmHuuqEUiIiJSmMWiPoSIiIhcoQxHZhhjJgCbgc3W2j2Jd6VSfD1wKTP1ioiISOGmPkTWKCG5iIhcrbKTkDwzHYaxgAUwxpwGvvds9zPGNAG2WmvPJSqfWgdFREQKqcxORcssTVkrVNSHyAIlJHeHr6+vy3PV73SxLhHJbQ8seYC4M3Gu1Vf12qp83O1j1+oTR3YSkmcmmPEC0BC4FbgJaIXTMakLfANcNMZsxbnzAjjzYa21e7PQdsmHBrZtntdNEBFJU5s2bfjvf/+b6r6aNWvyyy+/pLrvxRdfTPeHzvr16wkODiY2NtaFVl711IeQXOf2sqwRSronUqDFnYljS9AW1+prOLthlo8ZNGgQM2bMYMGCBfTo0cO1trjBGENMTAz+/v5ZOm7Dhg0MHjyYn3/+mebNmxMeHk6VKlUAWLp0KWPGjCE2NpY6deowefJk7r//ftfbnmHODGvtRGttD2ttPcAHuAvnzslRIBr4E6eTEoTTQTFAjDHmhDHmv8aY6caYJ40x/q63XkRErlrr16/HWou1lqCgIIKCgrzvY2Njva9bt27Niy++6H2vZRtzj/oQIiJytTt79iyRkZG0a9eO2bNn53VzXBEfH0/Hjh0ZMWIEMTEx1K1b1xukiYuLo0+fPrzyyiscOHCAPn368Oijj3Lq1CnX25GleanW2j+Ar40xADustfcY581NwG3AfJzOyM/AjcDdnocFxgMT3Gv61SOzQ7izuvqIiIikbfLkyUydOhVrLf369WP8+PFcc801fPXVVwwaNIgff/yR0qVL8+ijj/L2229TrFgxgoODqVevHp9++ik+Pj689957ef0x8g31IURE5Gq0bNkyKlWqxMyZM6lXrx4HDx70jmAIDQ3l1KlTFClShDlz5lCiRAlef/11b2Bg2bJlPP/888TExHC+bHU2PHQdLVq0AJwRFYsXL2b06NGcOXOGSZMm8euvv/LGG28AMGPGDLp27QrAq6++yvTp0zly5Ag1a9Zk4sSJPPbYYynaumHDBoYPH87WrVupXbs2EydO5KGHHkpRbsmSJTRs2JC+ffsC8NJLL1GxYkX27NnDli1buOmmm+jSpQvgjJabOHEiu3fv5rbbbnP12mYmAehDOIm7Uh3yaa21wE5gpzFmvmdbHWPMtcAtQCPPY5drrXaZEm6JiEhie/fuZcuWLXz//ffs2rWLRx99lGrVqjFw4EAGDRrE3XffzapVq9i7dy9t27alU6dO3i/tKVOmMHv2bFq3bp3HnyJzspNwK7Ouhj6EiIhIcolz98ybN4/atWvz7rvvUrVqVYKCgrwBifXr1/PVV1/Rvn17goOD+e9//0u/fv3Yvn07R48eZebMmXTt2pXOnTsTtuk3OnXqxM8//0z58uUBWLRoEdHR0UyZMoXg4GCeeuoptmzZwsiRI5kwYQJdu3Zl69atjBs3jo8//pjGjRszc+ZM+vfvnyKYcezYMTp27MikSZPo3bs369ato2fPnmzevJk6deokKbtr1y4aN27sfe/j40NAQAC7d++mS5cudOnSBWst+/fv5/PPP+eaa67h5ptvdv06Z2ZkxlLAGmPigU1cTt5V0hhTzFp7PrWDrLVngK88j3xNCbdERCQxYwzTpk2jXLly+Pn58dxzz7FkyRIGDhzI/PnzqVGjBiVLluT333/nuuuu48SJE95jO3fuzIMPPpiHrc+a7CTcyoKlFPI+hIiISHIJuXvi4uJ47bXXiI6Oxs/Pj2rVqjF9+nRefPFFjDGEhoZy8eJFli5dCsDOnTupW7cuoaGh/P3vf6dr164sXLgQgMhRUVQ8tpFVq1bRp08fAIYOHYqfnx9BQUG8/PLLjB49mooVK9KzZ08+++wzwMkjtmPHDmrVqsWFCxeoUaMGJ0+eTNHmlStXUrduXQYMGADAww8/TKdOnVi8eDHPP/98krLHjx+nYsWKSbaVKVOGo0ePet///PPP3HTTTQC88847lCpV6gqvakqZCWYswpnPWgdo63lY4HbgjCdx17c4nRQREZECz8/Pj3Llynnf16lTh4MHDwKwe/duhg4dyqFDh6hRowYXLlxIcmy1atVys6n5nfoQIiJy1Zo7dy7nzp2jQYMGAJw/f57jx4+zefNmmjRpAkCtWrW85YsXL+59feDAgST7AGrXrs3+/fu97xP6HAnHVa9ePUU9xYsXJzw8nDVr1mCtTbOfkpnzJShfvnyKHBjx8fFUqFDB+z4gIIA//viD6Oho+vfvj5+fH48++miq586uzCQA7WmtvRkoAzQHBuIk6DoHnMfppPwFmJZwjDHmuDHmU2PMVGNMsDGmiTGmeCrVi4vOnj/Pid//IPboiYwLi4hImo4ePUp8fLz3/U8//YS/vz+HDx+mS5cujBo1im+//ZYPP/yQqlWrJjm2SJEMv1qvGupDiIjI1cpaS3h4OFOnTmXz5s1s3ryZrVu30r59e+bMmeMtl1a/oVq1ailWVouJicnyTZPp06ezZs0ali5dSnR0NBMmpJ6CKivnCwgIYPPmzd73p0+fZs+ePQQEBPDhhx8yadIkAEqWLOmdjvv5559nqd2ZkekEoNba34GNwEZjzAzga6ANTuKuxkAT4DlP8XJAa8/DerYpeVc2zfg0OsMyZ8+fJ+7kbwC8vW4DVcqVoWSxYmmW17KrIiLpGzp0KG+88QY7d+5k8uTJvPnmmxw+fJhLly5RokQJfv31VxYtWsS3337LkSNHcNI/SGrUh5Dc1HLSOg6c/MO1+qqVc39otIgUfhs3biQmJoa+ffsmGe3Zu3dvnn32WV577bV0j+/evTuvvPIKH374Ie3ateO3zas4uXNnlqeyHjx4kBIlSgCwadMmbzDj8OHDVKpUyVuuQ4cODBkyhLCwMHr16sXatWtZsWJFqsGP7t27M3LkSObPn0+HDh0YP348TZs25cYbb+SXX37h1VdfpXXr1jRp0oQtW7awZMkSpk2blqKeK5Wl1UySs9ZeAnZ4HguNMQkdketw1pVvlOhx5krOJen74/zlYc7W8z69YIaIiFtGLlyR101wXbNmzahZsyYNGjSgePHijBw5ku7duwMwcuRIHnjgAUqXLk3v3r2ZOnUq48ePTzXbt6RNfQjJKQdO/kHspE553QwRySeqXluVhrMbulpfZkRERNChQ4ckgQyALl26EBISwkcffZTu8fXq1SMyMpIxY8YQGxvLhbLVWBcVhZ+fX5baO2zYMHr16oW/vz916tRh/PjxnDlzhj59+rB69WpvOT8/P6Kiohg2bBjDhw+nVq1aREZGUq9evRR1+vr6EhUVxeDBgxkwYAAtW7ZkwYIFALRr144xY8bQs2dPfv31V2rWrMmYMWN45JFHstTuzDDZuZNkjAkHdllrX062/RJOcvKiLrUvRxljLJDv76ZlZqnV2KMneHvdBixQrGgR+rduhr/fdTnfuEQK4w8aEZGrkWf5VKy1JgfqLhR9CDcVlP5ITggNDfVm/HeL/6goBTNEpNC5Gv9vy6g/kq2Jvdbafsk7IR5zPA/JZf5+11GlXBmuu7ZUngQyREQKilGjRmGMSfOxZs2avG5ioaY+hIiIiLjhiqaZJGetDXazPsmaksWKUbJYMQUyRETSMWnSJG9iKsk/1IfI/9zORQFwLY0IdbVGERG5WrgazBARERGRwiknclH4j4pytT4REbl6KJgBhISEpNgWGBhIYGBgHrRGREQk9yxfvpzly5fndTME9UdEROTqlZ3+iIIZQFhYWF43QUREJE+k9mN51qxZedSaq5v6IyIicrXKTn8kWwlARURERERERETySr4fmWGMqQW8ADwA+AI/AW8DEZ416hOX7QY8g7M+/Z/Al8AL1tpNudpoERFJok2bNgCsX78+T9shIlfG7WVU4U6X6xMRkatFvg5mGGMaAZ/hBDEOA1uAxsC/gQbAiERlhwFTPG+3AeWAzkB7Y0w7a+2XudVuERERkcLI7WBGhBKAiohINuXbaSbGGAO8ixPIGABUsdY2A+oDB4DhxpjbPWUrAK8CZ4EW1tpbgOrAUKA4MD33P4GIiOQ0f39/jDHex0033cSwYcP4/fffMzx2/fr1+Pv7Z/vcH3/8MbfeeiulS5fmlltuYcmSJd59Bw8epEOHDvj6+nLbbbfxxRdfpDh+y5Yt3hEriS1cuJBbb70VHx8fHnjgAfbt25ftNoqIiFz1pjSEUF/3HlMaZrkJgwYNwhjDwoULc+ADXhljDLGxsVk+bsOGDdx22234+vry4IMPcvDgQe++r7/+mubNm3PttdcSEBDAjBkzXGzxZfl5ZEZznOki/7LWzkzYaK3dY4wZB/wH6Ap8C/TCCVqMtdZGe8pZYJoxphPO6IyG1totuf0hREQkZ4WHhxMcHMz58+fZunUrTz/9NIGBgaxZswYnLu6+I0eO0L17d2bMmMHDDz/Mp59+Sq9evQgICKBx48b07NmTxo0bM2/ePFauXEmnTp3Yt28fZcuWZf/+/SxatIhZs2Zx/fXXJ6n3v//9L2PGjGHhwoVUr16d5557jgEDBhAVpbvXkjVTpkwhPj7e5Vo1JURECqD4vRDq4v+Hob5ZKn727FkiIyNp164ds2fPpkePHu61JY/Ex8fTsWNH3nrrLTp27Mj48ePp0aMHn332GefOnaNbt2489dRTfPLJJ3z//fc8/PDD3HDDDXTu3NnVduTnYMaTnufwVPbNAz4FEm699fI8f5BK2Q+A9p4yCmaIiOSB+Ph44uPjiY6Opnnz5jlyjmLFitG4cWOWLFmCv78/a9euxd/fnyeffJKvv/6aYsWKce+99xIeHs7evXtp27Yt4NyRsNby1VdfMWjQIH788UdKly7No48+yttvv02xYsVSnOubb76hevXq9O3bF3AycLdr147169dTpkwZvvrqK6KiovDx8aFv377MnDmT9957j379+rFr1y527txJ5cqVceLul02bNo1x48Zxxx13AE4W719//TVHrpcUbvHx8ZoSIiKSDyxbtoxKlSoxc+ZM6tWrx8GDB6lSpQrgTN07deoURYoUYc6cOZQoUYLXX3/dG/BYtmwZzz//PDExMZwvW50ND11HixYtAKf/snjxYkaPHs2ZM2eYNGkSv/76K2+88QYAM2bMoGvXrgC8+uqrTJ8+nSNHjlCzZk0mTpzIY489lqKtGzZsYPjw4WzdupXatWszceJEHnrooRTllixZQsOGDb39oJdeeomKFSuyZ88e/vzzT44dO8Zzzz1HkSJFaNWqFb1792bNmjWuBzPy7TQToBnwBxCdfIe19py1NtZae9izqRZwCtieSj0bPM+1c6SVIiLi1aZNmxSPJk2asHnzZmJiYmjVqhVNmjRJst9tlSpVomnTpmzcuJHRo0dTpUoVdu/ezVdffcWmTZsIDw+nQYMGfPrpp9SsWdMbUBg0aBB33303+/btY/Xq1SxcuJCVK1emeo7mzZuzYsUK7/tTp07x7bffcvvtt7Nr1y4CAgLw8fHx7m/cuDG7du0CoG3btrzzzjsEBQWlqHfTpk0cOHCA+vXrU7ZsWbp3706RIvn5q1pERETSExERQUhICAEBATRr1oz58+cn2T979mwaNGjA9u3b6dq1KwMHDgRgx44d9OzZkwkTJhAXF4dPo/vo1KkTx48f9x67aNEioqOj6devH8HBwcTGxrJlyxbat2/PhAkTANi6dSvjxo1j7ty5HDp0iL/85S/0798/RTuPHTtGx44d6devH3FxcUyYMIGePXuyc+fOFGV37dpF48aNve99fHwICAhg9+7d3HDDDXz77bfe/su5c+f48ssvuf3226/4WiaXn3tIVYBfgerGmHeMMVuMMaeMMdHGmOHGmKIAxpgiQCXgmE1+i8txzPN8fSr7JJfl1I8XEcm/Eg91v3TpUg4MfU+pcuXK7N+/n8mTJxMWFkaVKlXw9fWlUqVKnDhxItVj5s+fz8svv4yfnx9+fn5cd911aZYtV64ctWs7MfKNGzfSokULWrduTYsWLTh+/Dhly5ZNUr5MmTIcPXo0w3bHxcWxbNkyPvzwQ2JjY/Hz8/Pe9RAREZGCJS4ujvXr1/PEE08AEBQUxOzZs5OMzKxfvz7BwcFUqFCBQYMGeYMVixYtIjAwkEceeYSyZctSpnEHAgICWLVqlffYoUOH4ufnR1BQENZaRo8eTcWKFenZsycnT54EoGbNmuzYsYO2bdtSpkwZatSo4d2X2MqVK6lbty4DBgygbNmyPPzww3Tq1InFixenKJteX+faa6+lbt26AGzfvp377ruPcuXK8cgjj1zRtUxNvpxmYowpibMayW/ARpxgxXZgB9AEZ9RGZ2NMe6A8UBRIvceZiWBGwnDezAgJCSEkJCTT5UVEriapLb0aHR1Nq1atuHTpEqVKlWLevHk5NtUkwaFDh2jYsCGHDx9m6NCh7Nu3j8qVK6cbSNm9ezdDhw7l0KFD1KhRgwsXLnj3Va5c2TvdY9OmTTRu3Jhjx44xYsQIli1bxosvvsjQoUMxxlC+fHlOnTqVpO74+HgqVKiQYbtLly5NaGgoN910EwCTJk3i+uuv59SpUyk6DVkVFhZGWFjYFdUhIiIimTd37lzOnTtHgwYNADh//jzHjx9n8+bNNGnSBIBatWp5yxcvXtz7+sCBA0n2AdSuXZv9+/d731erVi3JcdWrV09RT/HixQkPD2fNmjVYa73HJJeZ8yXIqK9z5swZXnzxRWbOnMnTTz9NaGhoqtN2r1S+DGbgBCgAauAss9rOWvsTgDGmGk4ejHbAQGBBBnUV9TynefW++eabK2qsiIikrXnz5jRq1Ij4+PhcCWQcPnyYr776irFjx/LAAw8wY8YMHnvsMYoWLZrq/NCEY7p06cKaNWu4++67McbQtGlT7/5Dhw4lKX/q1Clat27NDTfcwK5du/Dz8/PuSxhmefr0ae9Uk++//55+/fpl2HZ/f3/+/PNP7/uLFy9SpEiRJJ2S7MpKMD6nEqeKiIhcLay1hIeHM3XqVLp16+bdHhQUxJw5c7zBjLSmk1arVo2tW7cm2RYTE0NgYGCW2jF9+nTWrFnD0qVLqVSpEtu2beO9994DoOWkdQC0enUdZ/cd4bfvNuOfKD/SkQ83UKySP6uS5Uz67fvfOfPjOpZf62y/dO4P9u/czZg1R7jvvot07tyZM2fO8MMPP6QIkLgpv04zOZnodXBCIAPAWnsASOiN9cIZeXGRywGQ5BK2H0xjv4iI5DBfX19uuOGGHA1knD9/ns2bN/Poo4/SvHlz7rzzTk6ePEnJkiU5ceIEc+fOJSoqiiNHjnDp0iXAuXNw8eJFDh8+zKVLlyhRogS//vor06ZN49tvv+XIkSMpknQCvPvuu5w5c4Zly5YlCWSAE8y48847GTt2LCdOnGD+/Pn8+OOPSToyaQkKCuLFF19kx44dHDlyhGHDhtGlSxdKlizpzkUSERGRXLFx40ZiYmLo27cvlStX9j569+7NvHnzOH/+fLrHd+/e3Tv19LfffuO3zavYuXMnDz74YJbacfDgQUqUKAE4o0uff/55wLmRc+DkHwB88bd2/BQxmlK/H2JM7QNsef4epjY7j937Lf8Le57YSZ2SPPYs+DslTu3n5UbxbPpbC7pe+oK7WzTjWNHr+Pjjj/nmm2/45JNPcjSQAfk0mGGt/R0noedvQGrDJr4HTuMs3WqBI0AFk/qtpIRxvQpmiIgUQv369cMYQ/HixXn00Ue5/fbbWb58Ob6+vkydOpX+/ftz8803s379esLCwli0aBGffvopt912G9dffz3ly5fnlltuYeTIkTzwwAPcdttt7N27l6lTp/Lqq6+mmvhq69atxMbGUqxYMYwx3kfC6hELFixg+/bt1KxZk8mTJxMVFYWvb8ZLuQ0ePJiOHTty3333UbduXYoXL86sWbPcvmQiIiKSwyIiIujQoQPlypVLsr1Lly7Ex8fz0UcfpXt8vXr1iIyMZMyYMVSuXJnT339CVFRUipsoGRk2bBgXLlzA39/fmyj0/vvvp0+fPknK+fn5ERUVxaxZs6hcuTJjx44lMjKSevXqpajT19eXqKgoXnvtNW9OjgULnAkTW7du5fTp01x33XVJ+kjBwcFZandmmNRzZuY9Y8w2nBVIfKy1F5LtK4oT7Ii31lY1xnwJtAAaWWu3JCs7EHgbeNVaOyrZPguketctP3mjR+aWsJnxqbPwy8C2OTuEOy0jF67IsExC8s/U5tWLSOGlf/sFS8K9AWut5pvkgpzoj4SGhrq+NKv/qChiJ3W6KusUkQJsSkOI3+tefb43wPAtGZdzWUH4/9Lt+jLqj+TXnBng5MUYA9wLfJxsX0ugNPCF530kTjDjESD536yHPc/zERERERERkatHHgQeJHfk52DGLGA0MNMY87C1djOAMaaeZx/Am57n+cDrwBhjzGprbbRnyskQ4H7ga2vtD7naehER8dKIDBEREZHsu5Y/kyTndEO1cqVcrS+35dtghrU21hgzCSeg8a0xZitwCWiAs0LJ29balZ6yx40xo4ApwAZjzI84iT+rAmdxghoiIiIiIiIiBU73kj+4Pn2woMu3wQyP53GWZh2ME8T4HVgHzLDWLk1c0Fo71RizH3gWJzHoOWA5MFajMkRERERERNJ2cNJXXDz5Z8YFs6BouRJUGdU044Ii2ZCvgxnWyYT1rueRmfJLgCU52iiXKBmeiIiIJBYSEpJiW2BgIIGBgXnQGhG52lw8+SfVJ93tap37R33uan1SeC1fvpzly5dn6Zh8HczILeo8iIjI1So7nQfJGWFhYXndBBERyad8fX1dn2bi6+vL8OHDXa0zu1L7/Z3R8vQKZqDOg4iIXL2y03kQERGR3JUTQYeCnoOjSF43QEREREREREQkKzQyQ0RERERERAqllpPWceDkH67VV61cKb4c1c61+iT7FMwQERERERGRQunAyT+IndTJtfr8R0Vl+ZhBgwYxY8YMFixYQI8ePVxrixuMMcTExODv75+l4zZs2MDgwYP5+eefad68OeHh4SnKTJ8+nWPHjuXYdBZNMxERERERERHJAWfPniUyMpJ27doxe/bsvG6OK+Lj4+nYsSMjRowgJiaGunXrJgnSfPvtt4wbN45x48blaDsUzBARERERERHJAcuWLaNSpUrMnDmTTz75hIMHD3r3hYaGMmLECJ555hkqVapEjRo1WLhwYZJjGzZsiI+PD82aNWPDhg3efcYYlixZwk033UTVqlWZM2cOkydPpnLlylSuXJn333/fW/bVV1+levXqlChRgjp16rBo0aJU27phwwbuuusufHx8aNSoEcuWLUu13JIlS2jYsCF9+/alfPnyvPTSS3z99decP3kIgG+++YYjR45w/fXXX9G1y4immYiIiIhInqhWrlS2hmxnVKeISH4RERFBSEgIAQEBNGvWjPnz5zNy5Ejv/tmzZ/PGG2+wfft2JkyYwMCBA+nRowc7duygZ8+ezJs3j3vvvZfIyEg6derEzz//TPny5QFYtGgR0dHRTJkyheDgYJ566im2bNnCyJEjmTBhAl27dmXr1q2MGzeOjz/+mMaNGzNz5kz69+/PY489lqSdx44do2PHjkyaNInevXuzbt06evbsyebNm6lTp06Ssrt27aJx48be9z4+PgQEBHD4RBwA/fv3ByA4ODgHruhlCmaIiIiISJ5QEj0RKczi4uJYv349c+bMASAoKIjp06czYsQIjDEA1K9f3/ujf9CgQUybNg1wAhWBgYE88sgjgBMg+Ne//sWqVavo06cPAEOHDsXPz4+goCBefvllRo8eTcWKFenZsyefffYZADVr1mTHjh3UqlWLCxcuUKNGDU6ePJmirStXrqRu3boMGDAAgIcffphOnTqxePFinn/++SRljx8/TsWKFZNsK1OmDIf+OOXCVcs8BTNEREREREREXDZ37lzOnTtHgwYNADh//jzHjx9n8+bNNGnSBIBatWp5yxcvXtz7+sCBA0n2AdSuXZv9+/d731erVi3JcdWrV09RT/HixQkPD2fNmjVYa73HJJeZ8yUoX748p04lDVzEx8dTpHqZVOvOKQpmACEhISm2BQYGEhgYmAetERERyT3Lly9n+fLled0MERHJgt3t7uV8XJyrdZpSFWDSF67WeTWz1hIeHs7UqVPp1q2bd3tQUBBz5szxBjOKFEk9jWW1atXYunVrkm0xMTFZ/o06ffp01qxZw9KlS6lUqRLbtm3jvffeS/V8S5cuTXG+Ro0apSgbEBCQJJnp6dOn2bNnD+VbVc1S266UghlAWFhYXjdBREQkT6QWvJ81a1YetUZEsisnftwWq1qVgHVrXa1T3HE+Lo6bf9ruap3b693san1Xu40bNxITE0Pfvn0pV66cd3vv3r159tlnee2119I9vnv37rzyyit8+OGHtGvXjvnz57Nz504efPDBLLXj4MGDlChRAoBNmzYxYcIEAA4fPpykXIcOHRgyZAhhYWH06tWLtWvXsmLFCm/55G0bOXIk8+fPp0OHDowfP56mTZvyy3VVstS2K6VghoiIiIhIAacftyKpczvRcGaTDEdERNChQ4ckgQyALl26EBISwkcffZTu8fXq1SMyMpIxY8YQGxtL/fr1iYqKws/PL0vtHTZsGL169cLf3586deowfvx4zpw5Q58+fWjZsqW3nJ+fH1FRUQwbNozhw4dTq1YtIiMjqVevXoo6fX19iYqKYvDgwQwYMICWLVuyYMECmr/5XZbadqUUzBAREREREZFCKa8SDb/zzjupbi9Xrhx//vknQIqRkf7+/lhrve+7dOlCly5dUq0ncbnkx913333ExsYCTh6Nzz//PMmxCXWGhoYmOa5ly5Z8/fXXGX00AFq1asXmzZvTLRMREZGpurIr9Qk6IiIiIiIiIiL5lEZmFCID2zbP6yaIiIiIiIiI5DiNzBARERERERGRAkUjM0RERERERAqY/aM+z7iQSCGmYIaIiIiIiIhHQVnmtvqku12tb/tSV6sTyXEKZoiIiIiIiHhomVuRgkHBDBERERERESkQDk76iosn/3StvqLlSlBlVFPX6pPco2AGEBISkmJbYGBginV/RURECpvly5ezfPnyvG6GiIhIplw8+aerU2yUe6TgUjADCAsLy+smiIiI5InUgvezZs3Ko9aIiIiIZI6CGSIiIiIiIjmoWNWqrubNMKUquFaXSEGlYIbkqvj4eOLj44mOjqZ58+Z53RwRERERkRzn9kommhohomCGuKhNmzbp7o+Pj2fz5s0AtGrVikaNGuHr65vuMevXr3encSIiIiJS6LidDFLcVbRcCdcDL0XLlXC1Pim4FMwQ1+zbtiXd/Sd+/8P7+tKlS/yyawfXlS6V080SERERkWxwe2pEsapVXR+h4HYySIDtS12t7qqmVUIkJymYIa4Z2Db9aSOxR0/w9roNWKBY0SL0uasJ/n7X5U7jRERE8jmtrpY/7W53L+fj4lytMyd+1OcEt9voZmBERAqX7KyupmCG5Bp/v+uoUq4Mf5y/oECGiIhIMlpdLX86HxfHzT9td7XOnPpRnxPD+XVnXURyQ3ZWV1MwQ3JVyWLFKFmsmAIZIiIiIi5ze7qFkkyKSH5WJK8bICIiIiIiIiKSFRqZgeaoiojI1Ss7c1RFRAqzQU8V5cjshq7WWfXaqnzc7WNX6xR3nP54NNuXHnO1zoKSF6egUzADzVEVEZGrV3bmqIqIFGZHyhm2BKW/Sl9WNXQ5OCLusX8cKzB5cSQpTTMRERERERERkQIlX4/MMMb8HbgznSLPWGt/TFS+G/AM0BD4E/gSeMFauylHG5oN8fHxxMfHEx0dTfPm6S9pKiIiIiIikpOKVa3q+ogCTbeQnJSvgxnAI8At6eyfmPDCGDMMmOJ5uw0oB3QG2htj2llrv8yhNqbQpk2bdPfHx8ezefNmAFq1akWjRo3w9fVNs3zg9T4utk5ERERERHKbm6vDFC1XwrW6EuRE0GF3u3sVIJEck2+DGcaYIsCNwBZrbaMMylYAXgXOAu2stdHGGAMMAd4EpgO35XCTMy0+Pt77+tKlS8THx6cbzBARERERkYLN7aVzC4KcCDooH4UkyLfBDKAKUBLYlYmyvYDiwFhrbTSAtdYC04wxnXBGZzS01rqbyScN69evT3d/dHQ0rVq14tKlS5QqVYp58+alO9XkjR6dXW6hiIiIiEjBlxMrUTA6P/9EEpEE+flfaoDnObPBDIAPUtn3AdDeUyZXghkZad68OY0aNSI+Pj7DQIaIiIiIiKQuJ1aiQCuPiBQIBSGY8Ysxpj/QAigKfA8sttbGJipbCzgFpPY/2QbPc+0came2+Pr64uvrq0CGiIiIiIiISBbl52DGjZ7n14HSibb3AV4wxgyy1s7x5NaoBOz1TC1JLmHc2fU511QRERERERERyS35OZiRMDLjGPAYEI2zQklfYBzwb2PMt8BhnBEbJ9KoJ8Ngxh133JHpRoWEhBASEpLp8iIiIvlBWFgYYWFhed0MEREREVfk52DGMuA7YK619oBn23FggjHmIs6yrC8CgzKop6jnuVhaBb755psrbKqIiEj+lpVgvLMgmIjkJDeX6RS5mhSrWtXVFU1MqQqu1SW5K98GM6y176azewZOMKMJzsiLi0D5NMombD/oXutERERERLLP7WU6ty91tTqRfMvt5V4VWCy4iuR1A7LDWnsCJ4hxA2CBI0AFk/qtpIRQm4IZIiIiIiIiIoVAvgxmGGMqGWOCjTH3prG/GOAL/OxJ+rkHKAM0SKV4C89zTI40VkRERERERERyVb4MZgCngbeBxcaY0qnsvxdnisxmz/tIz/MjqZR92PM838X2iYiIiIiIiEgeyZfBDGvt78B7wHVAuDGmTMI+Y0wTnJwZF4CXPZvnA38CY4wxzT3ljDHmaeB+4Gtr7Q+5+BFEREREREREJIfk2wSgwDCgJc6yrO2NMVtx8l/UwcmTMdJa+yOAtfa4MWYUMAXYYIz5ESfxZ1XgLDAk95svIiIiIiIiIjkh3wYzPAGKpsDfgEDgNuAQ8CEwyVr7VbLyU40x+4FngYbAOWA5MFajMkREREREJLNcX+HCvZVERcQj3wYzAKy1x4DnPI/MlF8CLMnRRomIiIjkc4vPNiJiVJSrdVYrV8rV+kTyM7eXzmW2u9WJSD4PZuSWkJCQFNsCAwMJDAzMg9aIiIjknuXLl7N8+fK8boa47AwliJ3UKa+bISIikmMUzADCwsLyugkiIiJ5IrXg/axZs/KoNeKm7fXcHdderGpVAtatdbVOERGR7FIwQ0RERKQQuvmn7a7W53ZwRERE5Erky6VZRfJamzZtaNOmTV43Q0RERERERFKhYIaIiIiIiIiIFCiaZiIiIiIiIjnOXOvn+nQlc62fq/WJSMGhYIaIiIiIiOQ4n/tfdn/JUxG5aimYISIiIiKZsn/U567WV7RcCaqMaupqnZJ/Bd04lsOzj7taZ9Vrq/Jxt49drVNECgYFM0REREQkU9y+q+52cETyt8PFj7MlaIurdTac3dDV+kSk4FACUBEREREREREpUDQyAwgJCUmxLTAwkMDAwDxojYiISO5Zvnw5y5cvz+tmiIiIiGSJghlAWFhYXjdBREQkT6QWvJ81a1YetUZEpHCqem1VV6fEKFeIiIIZkssGtm2e100QERHJccaY0kAo0B2oCHwPjLXWfpqX7RKRvOF24EG5QkQUzBARERHJCX8H+gCDgFigN/CJMeYua+13edkwERERAF9fX0JDQ12s8U4X68qYghkiIiIiLjLGGOCvwN+ste95Nn9rjLkdCAEG5FnjRLLA7aVUK50r71pdIvlZsapV2V7vZtfrDFi31tU6hw8f7mp9EaOiXK0vIwpmiIiISKFmjCkK7AP+Y60dm065bsAzQEPgT+BL4AVr7aYsntIXiAO+Srb9MFAji3WJ5Bm3l1LVUrxytXA76AC4HhwpDLQ0q4iIiBR2HYAq6RUwxgwDFgN34UwL+QPoDPzPGNMyKyez1p601taz1n6bqP56nnZszFLLRUREJFUamZED3ujROcMy+7ZtyXRZERERyTpjTFmgC/BGBuUqAK8CZ4F21tpoz1SRIcCbwHTgtmy2wQA9gBnAAWBaduoREZGcUbRcCddHDRUtV4Iqo5q6WqekpGCGiIiIFDrGmCXAo5ks3gsojrPaSDSAtdYC04wxnYD2xpiG1totnrrT7D9Zay8kakNtIBy4B3gPeMpaezIbH0dERHJITgQdNKUqdyiYISIiIoXRBuCo53VdoE06ZXt5nj9IZd8HQHtPmYTkAefTqOdb4A4AY0xTYK2nDfdZa92fQC2p2t3uXs7HxblWX7GqVV2rS0RE3KNgBhASEpJiW2BgIIGBgXnQGhERkdyzfPlyli9fntfNcJ219h8Jr40xwaQfzKgFnAK2p7Jvg+e5dqK6TXrn9iQcXYQT/Ai01h7LVKPFFefj4rj5p9T+KEUKF7enq5etWIm/vvUfV+sUyUkKZgBhYWG5fs6BbZvn+jkLIrf/kx65cIWr9YmIFHSpBe9nzZqVR63JfcaYIkAlYK9naklyCYGI67NQbVOgJvACcJ0x5rpE+/6w1h7IVmOl0Bj0VFGOzG7oap0VnyrKOldrlPzO7X6tcvlJQaNghoiIiFzNKgBFgRNp7M9OMKO653l2Kvv+SxqjRO64445MnyAkJCTVkaU5yZSq4PrSgKZUBZj0hat1FgRHyhkWvXIh44JZ8NhodetFJP8LCwtzbTCB/tcTERERSVtRz3OxzB5grV0MpDsVJTXffPNNVg/JVT4PvEL1SXe7WqfbwZGCxPWpMC6P9BARyQlZCcY7C4KlTcEMERERuZodAy4C5dPYn7D9YO40R9zg5koCWmJRRCR/UjBDROT/27vzOLur+vD/r3fCQAKEycIalQawFYGkolEMxJoERauMBUURN3CbIpGK0P6KfF1Sd6uAW5DOWAUtWAqW1osWioZYNEGlBY2CIEsMm7KFIUBCtvP74/OZZJjcmbl35nO3ua/n4/F5fOZ+Puece+6ZOzNn3vcsktpWSmlrRDwEzIiIKLNuxoz8bDCjhRQ5gsQtFiWpORnMkCRJ7e4u4EjgMLZvv9rvyPx8d11rJEl1dvmCe7mo4OlKM3ebyTUnXFNomVI/gxmSJKndfYcsaHE8OwYzjsvPl9azQpJUb0/uuoVVJw/+FTg2s13LRTU0odEVkCRJarBLgaeBcyJiHkBk/gZ4JfCLlNKvGllBSZL0TI7MkCRJbS2l9GhEnA2cD6yIiF+TLfw5E9gAnF6PepRb3b2rq4uurq56PL0kSQ1TKpUolUpV5TGYgZ0HSVL7Gk3nYTxKKX0xIu4F/g6YDWwESsCH6zUqo6enpx5PI0lS0yn3/3dvb++weQxmYOdBktS+RtN5aDUppYuAiypIdwVwRa3rI0mSxs41MyRJkiRJUktpqWBGREyIiGsiIkXEDqNKImJhRCyLiMfzY1lEHN2IukqSJEmSpNpoqWAG8H7gmHI3IuINwI+AhcCD+bEQuDYi3li3Gmpc6OvrY82aNaxcubLRVZEkSZIkDdIya2ZExKHAPw5xbydgaf7w9SmlK/PrxwPfBZZGxH+klDbVpbJqWgsWLBgxTV9fHzfffDMA8+fPZ86cOXR2dg6Zfvny5cVUTpIkNZ3SPV/jqRM/V2yhrym2OElqRy0RzIiIXYBLgCeB9cDUQUleDewDfL0/kAGQUroyInqB7jyNy7VrRH19fdu+3rp1K319fcMGMyRJ0vj11ObHOeuyqwot86KLZxdaniS1o5YIZgCfAP4ceBPweXYMZpyUn69kR1eSBTNOwmBG26tkFMXKlSuZP38+W7duZfLkyVxyySXMmzev9pWTJLW1Zt8qvhYjFBygIEmC0W0V3/TBjIhYAPwt8O2U0uUR8fkyyQ7Iz+UWOFiRnw8svnYaj+bNm8ecOXPo6+szkCFJqptm3yq+FiMUbj34+YWW1+7OPfHYYgtsgWjTzN1mMrvgkS4zd5tZaHmSRjaareKbOpgREVOBbwH3AKcPk3RfYCvQV+beOmAz2TQUqSKdnZ10dnYayJAkSS2jFtNh7j37+sLKmzh1l8LK6nfC8mfx+EMdhZa5x157wwmFFimpBpo6mEG2qOezgYUppXKBin77AI+llLYOvpFSShHxCLBPRERKKdWorpIkSdK48uzPvqzRVRjW4w89WHgQp/ARLpJqommDGRFxEvAW4PMppR+PsbiJDPNa586dW3FB3d3dZee0SpLUzHp6epp+GoMkSSPpff+7ePyhBwsrb4+99ua9X/1GYeWpfpoymBERzwEuAH4FfKSCLH8EZkXEhMGjMyIigGnA/UONyrjxxhvHWOPamjTtzMLL3LD2vMLLlCQ1r2qC8dmfTkmSmk/Ro3EcidO6mjKYARxNtmPJ/cB/DupU9a998YOI2Ap8nCyYcUCe59FBZXWSjcx4oHbVlSRJkiRJ9dKswYx+h+RHOa/MzxcCdwEvBY5ix+1Xj8zPdxdeuxbmaA9JkqSRXb7gXi4qeLeM3Z6aWGh5an5FT41ohZ1mpFprymBGSuki4KJy9yJiNfAnQEdKaXN+bTPZ+hrHs2Mw47j8fGnxNZUkSdJ49uSuW1h18qpCyzz3xGPhfYUWqSZX9NSIogNsUitqymDGKFxNNo3klIi4KqX07wARcTzwnvzeDxpYP0mSpGGVW9Okq6uLrq6uBtRGkqT6KZVKlEqDxyUMb1wEM1JKmyPi/cAVwHcj4g5gAnAgkIDT+kdxSJIkNSN3m5Ektatywfve3t5h80yoZYXqKR+NcTSwHNgX2Bu4DliYUvqPxtVMkiRJkiQVqeVGZqSUZg1z7zqyAIYkSZJUiHvPvr7RVZAkDdJywQxJkiSND0917MStBz+/0DJj8oxCywN49mdfVmyBJ36u2PIkjVotdiza+6Dp/IgfF1qmdmQwAxfckiS1r9EsuCUVZfkhf1LoDg/gKApJ1anFjkWz3W2mLgxm4IJbkqT2NZoFtyRJ49O5Jx5bbIGvKbY4aSCDGZIkSZKkwkdKFT19QxrIYIYkSZJGtMse72bpqcsKL1OSpNEwmCFJkqQRxcROFl+4qNAyiw6OSJLax4RGV0CSJEmSJKkajsyQJElqAu6uJklqV6PZXc1ghiRJUhNwd7Vi7LvLu2DJg4WVd/VOEwsrS5JU3mh2VzOYIUmSpHFjp3gQlvQVVt6zlnQWVpaksbt8wb2F7pKy21MGLFuVwQxJkiRJUkt4ctctrDp5VWHlnXvisfC+wopTHRnMwDmqkqT2NZo5qpIkSY1mMAPnqEqS2tdo5qiqPf3L4f/AhRd/oNAydz98OospdrtXSVJ7MJghSZKkET0x6dFCh3YDzC5w3rskqb1MaHQFpLG64LqVXHDdykZXQ5IkSZJUJwYzJEmSJElSS3GaiSRJkjQOLD11WbEFziu2OEkqksEMtZVzTzy2onT33LKq4vRnXXbVmOokSZI0VrtvmM6F8wpeoHXD9ELLk6QiGcyQyjhtoR9FSJKk1vG2mz7G4guL3Rmm8JEeklQggxmSJElNoLu7e4dr5bbOlSRpvCmVSpRKparyGMyQJElqAj09PY2ugiRJDVEueN/b2ztsHoMZ+EmIJKl9jeaTEEmSpEYzmIGfhEiS2tdoPgmRJElqtAmNroAkSZIkSVI1DGZIkiRJkqSW4jQTSZIkNcy5Jx5baHlnPb/Q4iRp3Hrgsz9ny2NPN7oao2YwQ5IkaRyaffHsQsvbfcP0Qsvrd9ZlVxVb4JLOYsurgV32eDdLT11WaJlpS1+h5QG8fa9uWPJQYeWt27IrPbe/qLDyAPbYa+9Cy5OaVcfMmdx6cLHR2pg8g4Nv+klxBZ79/eLKqoDBDEmSpHFo1cmrCi2v6H++21lM7GTxhYsKLTMb4XJ8oWXuMfEhWFJckGTKks7ig1dSm3jush8VXmbRwZF6c80MSZIkSZLUUhyZIUmSpIbYfcP0wqfDrKLYdTjOen7xo1JqMSWkVopuS0kqisEMSZIkNcTbbvpY4dMtKHoqw5Lip4T0nbM3LDml0DLfc9AuhZbXr+i2lKSiGMwAuru7d7jW1dVFV1dXA2ojSVL9lEolSqVSo6shtZXOnZ8udC0KgE4DBZLajMEMoKenp9FVkCSpIcoF73t7extUG0mSpMoYzJAkSVJDFL31J8B9O03kWYWWqHazx157F7pWSH+ZkorV1MGMiJgMfBh4FXAw8DDZuk4fTyn9okz6E4C/BWYDTwM/BT6aUrqpbpWWJEkahXac9lr01p8Ar754NsVuSqt2896vfqPRVWiIq++5r/B1Ta7eaWLhgSFeU2xxag6jmfbatMGMiNgF+BlZYGIdWRBjOnAs8NqIeEtK6V8HpD8DOD9/eAswNU97TEQsSin9tH61lyRJqo7TXtUOit4ZZsr0Sbzj00cWWmYrmLnbzOJ3Atq8pfDg4rOKXpAXuKjg163mMJppr00bzAAWkwUyfgickFLqA4iINwBXAF+NiKtSSk9ExAzgc8AGYFFKaWVEBHA68CXgK8ALG/EiJIAFCxYAsHz58obWQ5LUPor+NHTStDMLLU/tqeidYYoOjrSKa064pvhCXURWLaaZgxkn5OcP9gcyAFJK342Iq8hGXcwGVgInATsDH04prczTJeDLEfFastEZs1NKjjqUJEltoehPQ9v1n0ZJUnNq5mDGAcBG4Ddl7v2WLJhxINuDGQBXlkl7JXBMnsZghiRJkiSpZvbeOL3waUAzd5tZmxE5LayZgxlvBjblIywGOyg/35ufDwAeB24tk3ZFfj6w2OqpWWzYtIn1mzaz+uG1zNpzWqOrI0mSGqzIUSSL9y2sKElt4uI7P8mzP/uyQsssOjgyHjRtMCOl9OP+r/P1L6YA+wFvBY4Hfgn8JCImAHsDa4YIfDySn/epbY1VCxdct3LY+xs2beL+x9YBsHTZCvabOoVJHR1Dpj9t4bxC6ydJkppPoesyLCmuKElScZo2mDHI0cC1Ax5fD7wxpbQlIvYCJgJrh8g7YjBj7ty5FVeku7u77NZpqtXCYG8c9u76TZu3fZ3yx8MFMySpXfX09LhbhiRJLezes69vdBWaSqsEMx4B/hvYFzgYmA98IiIWV5B3Yn4e8j/cG2+8ccwVVG2MNJJi9cNrWbpsBQnomDiBtx5xuFNNJKmMaoLx2YBISZLUTIqeunLrfxRaXN21RDAjpXQT8CqAiJgJXAa8F7gL+EdgCzB9iOz91x+ocTXVALP2nMZ+U6ewftNmAxmSJEmS1CYmNLoC1Uop3Q+cnj88LqW0FXgImBHlP0qakZ8NZoxTkzo6mLbrZAMZkiRJktQmmjKYERGHRMQdETHU5N41+XnX/HwX2QKhh5VJe2R+vrvAKkqSJEmSpAZpymAGcB/Z9quviIiJZe73r9j5q/z8nfx8fJm0x+XnSwurnSRJkiRJapimXDMjpdQXETcBhwMfj4glKaVNABFxMPDlPOm/5udLgS8A50TEtSmllfmUk9OBVwK/SCn9CkmSJI1ru2+YzuyLZxdW3qrCSpLaU5E/jwAzd5tZaHlqXU0ZzMidRrYF6znAeyLidmAq8HyyHUq+mFK6CiCl9GhEnA2cD6yIiF+TLfw5E9jA9jU2JEmSNI697aaPsfjCRcUVuKSzuLKkNrTqZEOCqo1mnWZCSukG4FCy0Rd9ZFNLdgOuBl6RUvrgoPRfBN4I/JxsispuQAk4IqX0s/rVXJIkSZIk1VIzj8wgpXQ7cFIV6a8ArqhdjSRJklSke8++vtFVkCS1oKYOZkiSJGl8e/ZnX1ZsgacuK7Y8SVJTMpgBdHd373Ctq6uLrq6uBtRGkqT6KZVKlEqlRldDkiSpKgYzgJ6enkLLmzTtzELLkySpVsoF73t7extUm/bmhyuSpHY1mg9XDGZIkiQ1gaI/XJGkhuvcv/gdgTr3hw+6Q8p4M5oPVwxmSJIkSS2ub+MudBb8T+PjW/Zij0JLVNupRdDB7ZKVM5ghjdG5Jx47Ypp7bllVcVqAsy67akx1kiSpVXYJWVrwgp1Tpk8qtLxW8fU7X1J4/+Hbpy5jcaElSlJxDGZIkiSNQ0XvEvL2jzwXljxUaJl07s/iJYuKLVOS1BYMZkiSJGlEe0x8CJb0NboakiQBBjMkSZIkSWp6lU5Zr9RrCi2t/gxmSHWwYdMm1m/azOqH1zJrz2mNro4kSZKkFlP0uji3Hvz8QsurN4MZ0hhdcN3KYe9v2LSJ+x9bB8DSZSvYb+oUJnV0DJvnrMJqJ0mSJKmeJk7dpfhFmFs77lATBjOA7u7uHa6V2+dWGo31mzZv+zrlj0cKZkhSvZRKJUqlUqOrIUnSuLHf2S8pvtCLiy/yqY6dih2dcdwXiiurAgYzgJ6enkZXQS3stIXzhr2/+uG1LF22ggR0TJzAW4843KkmkppGueB9b29vg2ojSZLqZfkhf1Ls1JWzv19cWRUwmCHV2Kw9p7Hf1Cms37TZQIYkSZIkFcBghlQHkzo6mNTRYSBDklQ3S09dVmh5i/cttDhJksbEYIYkSdI4tPjCRcUWuKTY4iRJGosJja6AJEmSJElSNRyZoaY2adqZI6aZsNOZFafdsPa8MddJkiRJktRYBjPU8s54nQEKSZIkSWonTjORJEmSJEktxWCGJEmSJElqKU4zAbq7u3e41tXVRVdXVwNqI0lS/ZRKJUqlUqOrIUmSVBWDGUBPT0+jqyBJUkOUC9739vY2qDZS+zj3xGMLLW+PvfYutDypaXXuD0s6CyvuPQftUlhZqi+DGZIkSVKdnXXZVY2ugtSaPriq0OI6CwyM9Ot9/7t4/KEHiy30NcUWNx4YzJAkSZIkqSCPP/Rg4QHLiy6eXWh544ELgEqSJEmSpJZiMEOSJEmSJLUUgxmSJEmSJKmlGMyQJEmSJEktxQVAJUmSpKEUvA3ktjIlSWNiMEOSJKkJdHd373Ctq6uLrq6uBtRG2xS8DaRUiPNnQ9+aYss0yKYGKpVKlEqlqvIYzMDOgySpfY2m86Da6OnpaXQVJLWKvjWwpK/RtZAKU+7/797e3mHzGMzAzoMkqX2NpvMgSZLUaAYzJEmSJKlfraZwOGVJKlTTBzMi4i+BM4GDgSnAKuC7wFdTSpsHpV0IfASYm1+6EfhUSulH9auxJEmSpJZViykcRS8iWwPfOmcF6x7dUGiZU6ZP4h2fPrLQMqV+TR3MiIglwMeArcBtwB+AFwPzgTdFxMKU0tN52jcAlwMB3JkXsRBYEBEnppQur3P1JUmSJKklrHt0A4svXFRomUtPXVZoedJAExpdgaFExEHAOcBjwMtSSoeklF4MHAhcD8wjG4VBROwELM2zvj6l9NyU0nOB1+fXlkZERz3rL9XaggULWLBgQaOrIUmSJEl117TBDOAtQAfwpZTSiv6LKaX7gTcDW4B35JdfDewD/HNK6coBaa8EeoG98jRSQ5y2cB6nLZzX6GpIkiRJ0rjQzNNMDszPywffSCndHxG/BQ6NiGnASfmtKwenza9152nce04t4dwTjx0xzT23rKo4LcBZl101pjpJkqT2MmX6pEKnCSzet7Ci1CKKfg/1l+k6HILmDmasAv6ZbK2MZ4iICcB0IAFPAQfkt1aWKad/VMeBZe5JkiRJKqPwfxiXFFucml8tgg6uw6F+TRvMSCmdN8ztdwP7AStTSk9HxL5ki4SWW3Z4HbCZbBqKJEmSJElqcU0bzCgnIoJsm9Yv5Jc+np/3AR5LKW0dnCellCLiEWCfiIiUUhqcZu7cuYMvDam7u5vu7u6q6y61q/5FSpcvX97Qekjtrqenh56enkZXQ/VU9FaQnfsXW54kSWPQMsGMiJgNfIlsu1WAM1NKV1eYfSLDvNYbb7xxjLWTJKm5VROMzz47UMtbUm7AqiRJ40PTBzMiYhfgo8DfkwUl1gDvTin9cECyPwKzImLC4NEZ+WiOacD95UZlqL1MmnZm4WVuWDvcjChJkiRJGpuZu81k9sWzCy1ztwUTOavQEuurqYMZETETuBqYDTwJfAY4L6W0flDSP5ItAjoVeHTQvU6yIMgDNa2sJEmSJEk1cM0J1xReZtHBkXqb0OgKDCUi9gD+iyyQcTswN6X0qTKBDIC78vNRZe71L6F7d/G1lCRJkiRJ9da0wQzgNGAO2daqL0kp/XaYtN/Jz8eXuXdcfr60uKpJkiRJkqRGaeZgxsn5eXFKaaQVrK4mm0ZySkS8vv9iRBwPvCe/94Oa1FKSJEmSJNVVU66ZERETgeflDz8XEUMu3JlSenVKaXNEvB+4AvhuRNxBFqg5EEjAaSmlzbWutyRJkqQhdO5f+JbBb99rL+COQsuU1BqaMpgBzAD694U7ppIMKaV/j4ijyXY+mZtfvg74h5TSj4uvoiRJkqSKfXBV4UXuUXBwRFLraMpgRkrpQbYHM6rJdx1ZAEOSJEmSJI1TTRnMqLfu7u4drnV1ddHV1dWA2kiSVD+lUolSqdToakiSJFXFYAbQ09PT6CpIktQQ5YL3vb29DaqNJElSZZp5NxNJkiRJkqQdGMyQWtSGTZtY+9R6Vj+8ttFVkSRJkqS6cpqJ1IQuuG7lsPc3bNrE/Y+tA2DpshXsN3UKkzo6hs1zVmG1kyRJkqTGcmSG1ILWb9q87es06LEkSZIkjXeOzJCa0GkL5w17f/XDa1m6bAUJ6Jg4gbcecTiz9pxWn8pJkiRJUoMZzJBa0Kw9p7Hf1Cms37TZQIYkSZKktmMwQ2pRkzo6mNTRYSBDkiS1rce37MUeSzqLLbRz/2LLk1QTBjMk1VRfXx99fX2sXLmSefOGnz4jSZJUjW8/1MPiCxc1uhqSGsBghqRRWbBgwYhp+vr6uPnmmwGYP38+c+bMobNz6E9Pli9fXkzlJEmSJI1rBjOA7u7uHa51dXXR1dXVgNpItXHuicfW/Tn7+vq2fb1161b6+vqGDWZIqr9SqUSpVGp0NSRJkqpiMAPo6elpdBWkllPJKIqVK1cyf/58tm7dyuTJk7nkkkucaiI1mXLB+97e3gbVRpIkqTIGMyTVzLx585gzZw59fX0GMiRJkjRmU6ZPYumpyworb/G+hRWlOjOYIammOjs76ezsNJAhSZKkMXvHp48stsAlxRan+jGYIUmSVLCImAl8CViQX7oOOCuldE/DKiWpcTr3hyK3kHX7WMlghiRJUpEiIoDLgYnAG4AEfAH4bkS8NKW0tZH1k9QAH1zV6BpI447BDGmMJk07s/AyN6w9r/AyJUl182fAkcDhKaWbASJiMfALYBZwV8NqJknSODGh0RWQJEmqpYiYGBH3R8QnR0h3QkTcEBFPRsSjEVGKiMNH8ZS7AT8Cbh1w7Q/5edIoypMkSYMYzJAkSePdXwL7DZcgIs4gmxpyBLAaWA8cC9wQEUdV82Qppf9LKb0ipfR0ZPYC/h74Hc8McEiSpFFymokkSRqXImIP4K+Ac0dINwP4HLABWJRSWpmve3E62SKeXwFeOMpqfI8sKLIReFFKKY2yHEl18q1zVrDu0Q2NrsawpkyfVPyuHlKLMZgBdHd373Ctq6uLrq6uBtRGkqT6KZVKlEqlRlejcBFxBdnim5U4CdgZ+HBKaSVAHnT4ckS8FjgmImanlFblZQ/Zf0opbR506TTgU/lz/E++AOjt1b0aSfW07tENLL5wUaOrMaylpy5rdBWkhjOYAfT09DS6CpIkNUS54H1vb2+DalOoFcDD+dfPY/sWqeWclJ+vLHPvSuCYPE3/dgSbhijnf4G5EfEcYK98usk9wD0R8bO8nL8CPl/pi5AkSeUZzJAkSeNOSmnbtlARcQrDBzMOAB6n/HoWK/LzgQPKjhGe/lXA5yJinwEjNQLYlWy6iSRpHNtlj3cXPnrGqUU7MpghSZLaVkRMAPYG1gyxnsUj+XmfKor9EVngoicivkYWyHgfsAfw72OoriSpBcTEzsKnKtViatHV99wHSzoLLPHSAssamcEMSdtccN1KAE5bOG/EtOeeeGxFZd5zy6qK05912VUVlSlJBZoBTATWDnG/6mBGSunuiHgd8ElgGdnCoj8DFubTTsqaO3dupU9Bd3d32TW/JEmq1LM2b4ElfcUVePb3R0zS09NT2DIPBjOkFlVJwEGSNGYT83NHNZlSStcC11aT58Ybb6wmuSRJLaeaYHy2sdjQJhRRIUmSpBb1CLAFmD7E/f7rD9SnOpIkqRIGMyRJUttKKW0FHgJmRPmPgGbkZ4MZkiQ1EaeZtKlFyxcXXuayBUsLL1OSpDq4CzgSOIzt26/26186/u661kiSJA3LkRmSJKndfSc/H1/m3nH5ub5LtEuSpGE5MgPKLkDS1dVFV1dXA2ojjS9FL1S6YMECAJYvX15ouVK7KpVKlEqlRlej0S4FvgCcExHXppRW5lNOTgdeCfwipfSrhtZQkiQ9g8EMKGxrGEmSWk254H1vb2+DatMYKaVHI+Js4HxgRUT8mmzhz5lk26qeXo96+OGKJI0Pb9+rG5Y8VHCZewF3FFpmMxnNhysGMyRJUttLKX0xIu4F/g6YDWwESsCH6zUqww9XJGl82GPiQ7Ckr9gyl3QWWl6zGc2HKy2zZkZETIyI+yPik8OkOSEiboiIJyPi0YgoRcTh9aynJElqLimli1JKkVL68AjprkgpHZFS2jWlNDWl9Dqnl0iS1JxaaWTGXwL7DXUzIs4gGx4KcAswFTgWOCYiFqWUflrrCtZKLXYekSRJkiSpVTX9yIyI2CMi3g58Y5g0M4DPkc1rPTKldCjwbOADwM7AV+pRV0mSJEmSVHtNHcyIiCuAPuBbwF7DJD2JLGjxyZTSSoCU+TLw38DhETG71vWV1JoWLFiwbZcUSZIkSc2v2aeZrAAezr9+HrBgiHQn5ecry9y7EjgmT7OqyMq1sjd9qPhv/akrCy9SkiRJkqQdNHUwI6V0Xv/XEXEKQwczDgAeB24tc29Ffj6wyLpJtTRp2pmFl7lh7Xkjp9m0ifWbNrP64bXM2nNa4XWQJEnS2E2ZPomlpy4rvEyplTR1MKMSETEB2BtYk1JKZZI8kp/3qV+tpOZzwXXDD53ZsGkT9z+2DoCly1aw39QpTOroGDL9aQvnFVo/gHNPPHbENPfcsqritABnXXbVmOokSfXS3d29w7VyW9VJ0js+fWSjqyAVqlQqUSqVqsrT8sEMYAYwEVg7xP0Rgxlz586t+Mm6u7vLdjakVrd+0+ZtX6f88XDBDEmtpaenh56enkZXQ8Pw+yNJalflgve9vb3D5hkPwYyRTMzPQ/5XduONN9apKqNTi/Ut1H5GGkmx+uG1LF22ggR0TJzAW4843Kkm0jhSTTA+ImpcG0mSpLEZD/8lPwJsAaYPcb//+gP1qY7UmmbtOY39pk5h/abNBjIkSZIkNbWm3pq1EimlrcBDwIwo/1HSjPxsMEMawaSODqbtOrmpAxkbNm1i7VPrWf3wUDPLJEmSJI1342FkBsBdwJHAYey4/Wr/6jh317VGkqpW9CKlAGcVVjtJkiRJzaLlR2bkvpOfjy9z77j8fGl9qiKpVsotUipJkiSp/YyXkRmXAl8AzomIa1NKK/MpJ6cDrwR+kVL6VUNrKGlELlIqSZIkqRLjIpiRUno0Is4GzgdWRMSvyRb+nAlsIAtqqMYWLV9ceJnLFiwtvEy1LhcplSRJkgTjJJgBkFL6YkTcC/wdMBvYCJSADzsqQxo/JnV0MKmjo9BARl9fH319faxcuZJ584YfHSJJtVJu69yuri66uroaUBtJkuqnVCpRKpWqytMywYyU0kXARSOkuQK4oh71UX0UPdqjnUd6TJp25ohpJux0ZsVpN6w9b8x1qocFCxYMe7+vr4+bb74ZgPnz5zNnzhw6OzuHzbN8+fJiKidJA/T09DS6CpIkNUS54H1vb++weVommFFLfhIijV/33DJ4g6NnWvvU+m1fb926ld//7jam7Tq51tWSmsZoPgmRJGk8OffEYwst76znF1qchmAwAz8JkcYzFxWVhjeaT0IkSRpPzrrsqmILXDL8KF8Vw2CGpLbmoqKSJElS6zGYUQNFr/Nw4bzW+Da96UPF1/PfPrO58DKlwWqxqKgkSZKk2mmN/5JVuFV3rym8zNkH7F94mUVz+1i1sv7FTF2AtPn4vZEkSaovgxlqakWP9nCkhyRJkiS1PoMZkrY543WVb7dayfat1WqV7V4lSZIkNZbBjBZQiykhkiRJkiS1KoMZNVD01IhVdxdanKQxKnwv8qK3A5MkSdK48viWvdij4C1f79tpIs8qtMT6MpihtlKLHVdOXVl4kZKkNtTd3b3Dta6uLrq6uhpQG0lSM/n2Qz0svnBRoWW++uLZrCq0xNErlUqUSqWq8hjMwM6D1EpOWziv0VUYN1plB45a1LNVXns9jKbzoNro6elpdBUkSWqIcv9/9/b2DpvHYAZ2HiRJ7Ws0nQdJkqRGm9DoCkiSJEmSJFXDYIYktYi+vj7WrFnDypUu1NJs/N5IkiTVl9NMJDWNSdPOLLzMDWvPK7zMovWv3zCcvr4+br75ZgDmz5/PnDlz6OwcekVr14Iozkjfn2q/N+D3R5IkaawMZqgwq+5eU3iZsw/Yv/Ayi7Zo+eLCy1y2YGnhZWpojV5U9J5bRl5Heu1T67d9vXXrVn7/u9uYtuvkWlZLFerr69v29datW+nr6xsxmCFJkqSxMZghSQ1WSTBl9cNrWbpsBQnomDiBtx5xOLP2nFb7ymnEURQrV65k/vz5bN26lcmTJ3PJJZcwb5677kiSJNWSwQw1taJHe7TCSA+NDxdcl62dUNSoj1l7TmO/qVNYv2lzUwcy2nHL03nz5jFnzhz6+voMZEiSJNWJwQy1lVpMhbmVmYWXKZUzqaODSR0dhQUy+vr66OvrY+XKlU39D3gt6ll0mZ2dnXR2djZ1O0qSJI0nBjOkMXrTh4r/MTrVDRE0Rq2yaGUt6jkSF1OVJElqfQYzgO7u7h2udXV10dXVNaryavHpv6TRadcdUkbSKotW1qKerfLa66VUKlEqlRpdDUmSpKoYzAB6enoaXQVJKlTXPrsPe3/1xP1Yevfd2xYUfe0B+zFrz+Hz1EIjFtd0wc5nKhe87+3tbVBt2lvRH65I7WDK9EksPXVZ4WVKqq/RfLhiMEOS2lCrLChai8U1XbBTzcoPV6TqvePTRza6CpIKMJoPVwxmSE1o0fLFhZe5bMHSwstUayt6QdFaqcXimi7YKUmS1NoMZkhSlSpZh+PprX/N+o1PcP/Tr+LAfQ8dNu14WIOjX6vskCJJkqTWZjBDkqr0xe8NH8xYv/FJ7nvkDgDO/88PMHPGQUzeebch05/6smcXWr9aOWjvGcPe37BpE/c/tg6Ao448kv2mTmFSR8ewee588JHC6idJkqT2YTBDGqNa7F4z+0P7F16m273Wz/qNT2z7OpFYv/GJYYMZ48X6TZu3fZ3yxyMFMyRJkqTRMJghtYmi1+Fo5zU4znjd8NNC7vrDbzj/Pz9AItExcRdOWXTOiFNNKnHm6ytPW4upK6ctHH7ayOqH17J02YptO6Q088KiRRtpVxZJkiQVy2CGJBXswH0PZeaMg1i/8YnCAhmtoFV2SJEkSVLrM5hRAz3/u5HuF+3c6Gq0BNuqOo8uf5TpC6Y3uhpA8++48pNbrmL+IccWVl61Ju+8G5N33q0lAhk33LmGlx5UzNSmandIOffEkb9H99yyquK0Z112VUXPOxY9PT10d3fX/Hkk1Y8/15Wzrapje1XOtqqO7WUwoyb8B71ytlV1xhLMeNOHiv1x/7fPbB45UZWKDJB8bfVqPvrgf7XtdJhKdlyZsFOW5me/X8+CuSOnb4VdVyoJeMDYAiR2HqTxx5/rytlW1bG9KmdbVcf2MpgBUPZN0NXVRVdXVwNqI7WGooMjUJsAiYbWv/bH5777vgbXZHgjrdVR6zIHBzz+eNcdFQdNhlLJCJIFCxYAtV+Po1QqUSqVavockiRJRTOYQRbVkprJUDukzH16IzeOcveU2QcUv0NK0YoMkNy5JCvPXVyk4ZUL3vf29jaoNpIkSZUxmNECZm24tNFVqMjqSW9pdBWkHTT72h6tpJqpK5WkhdaYuiJJkqTmM+6CGRFxAvC3wGzgaeCnwEdTSjc1tGJtYDRBlwfSGcza8MUh7xsgKc5Qoz1GqxVGejTSSNu3jlfVvu5Kgx6VapXgSCXTVH73y/9j/abNnH70URUtqFqPxU8lSZKaxbgKZkTEGcD5+cNbgKnAscAxEbEopfTTSsoplUpjWi9jVTpw2H/Qh/PUHT9j1+ce0TZ5RzJcgGQ0z9sfHCndtomu53WMqk6NyjtWRde70uBINc87OEDy+E2Ps8fhe1RWySGMZurKSM/7b58ZerTHdU+sY+HuU6p6vv6RHqtWr2D2rCOryttvLHnHqlH1Lpe30uBINc9bZIDkN/f/kUNn7sMF1w0//2nDpk3c/9g6AJYuW8F+U6ewdWti112GXjD5rGHKG+vfNTVGI79vY3nuVsw7Fq34eluxrcaav93aqxXzjkU7/r4ci/Hy/hg3wYyImAF8DtgALEoprYyIAE4HvgR8BXhhJWU18odh/R0/H3VgoBXzjsVYnrd0++bR/2PfoLxj1QqveXCApPv69fRMfWxUz9u/vshoRpCsu3ndsMGM4QIk933zKZ71zsq2Jd3uA1ne397HT+ddVmVeyuatZjHVr61bU9F0nKGm16z6/Q2jD0i0QN7BAZKY+LtRjyi57Vfn8aJDz9w2HWcoGzb8EciCGQnYsGU3Nm/eyO67PWdUz2swozUMXpD8+uuvB7CjW4e8Y9GKr7cV22qs+dutvVox71gYzKjf89Yq72gWJB83wQzgJGBn4MMppZUAKaUEfDkiXks2OmN2SmlVIyupxuof6fHIlq/w3xtOH1UZg/M6Faa5jWZ6Tfe69fQMk68VpthUMyKlf7HUkbiYanFGmo5z1x9+w/n/+QESiY6Ju3DKonO44bZreMvLi52Wo+YyeEHy7u5ug1CSpLYwmgXJx1swA+DKMveuBI7J0xjMUKGqWSuk0iCKAZLmNlyAZKRAyHAalbfSXXJuHWL0xo//8ACLlt85qucuOu94WZz1wH0PZeaMg1i/8QlOWXQOB+57KDfcdk2jqyVJktQ0xlMw4wDgceDWMvdW5OcD61cdafSGCpCMtGDqcIocjVKrvAZxmtvz33x/2etTS+t5flf5eyMpOu+bDvhARXnv++19XDjv96N63oeuWcOF8yp7nqGet5JpQBc/dR8A7/ntBfDbSgI/5f78SZIkjU+RzcRobRExAdgIrEkp7RCwiIhnAfcCy1NKCwdcb/0XL0lSjaSUotF1aAf2RyRJGtpQ/ZEJ9a5IjcwAJgJrh7j/SH7epz7VkSRJkiRJtTKeppkMZ2J+fsaWCn7iJEmSGs3+iCRJ1RsvIzMeAbYA04e433/9gfpUR5IkSZIk1cq4CGaklLYCDwEzIqLcpxsz8rPBDEmSJEmSWty4CGbk7gKmAIeVuXdkfr67ftWRJEmSJEm1MJ6CGd/Jz8eXuXdcfi6/36UkSZIkSWoZ42JrVoCImA7cnz9cmFJamU85OR34EvCLlNJLGlZBSZIkSZJUiHEzMiOl9ChwNrALsCIiVgH3kgUyNpAFNSoWEX8ZEddGxD0R8VhEXB8RZ0TEDjvARMTCiFgWEY/nx7KIOHqYsqtK3+wiYnJEfCoiboyIJyJidUSUIuLFQ6Q/ISJuiIgnI+LRPO3hw5RfVfpWEhETIuKaiEi+t3YUEZ+IiKuHOQ4blL6t31sRcUBEfDMi7s9f0/9GxLsiYoff9e3eVtWyvdQo9kcqZ39k9OyPDM/+SHXsj9SO7TVISmlcHcAJwM+Ap4DHgO8Bc6osYwmQyHZIuQX4BVlAJAErgF0GpH0DsDW/d0d+pPzaG8uUXVX6Zj/Igke/yl/D48BK4LYBr+nNg9Kfkd9LwG+A+/KvnwaOKlN+Velb7QD+ZsDr22ks75Xx9t7KX9OvB7RPuWO+761tr2dO/jsvAX8Ebhjwe+u8sbz28dRWI7yfBh4LbC+PRh/YH6mmreyPjK397I8M3z72RypvK/sjlbWT/ZEi2rHRFWi2AzgI2AisBY4ccH0m8D/5G+CT+bWdgD/kv5yPH5D2+Pzag0DHgOtVpW+FAzgzb5Nrgc4B19+QX38Y2D2/NiP/4VkPzMuvBdv/gP7foLKrSt9qB3DogF/uz+g8+N5KkI0cWw/8qoK0bf3eyuve34n/a2BCfv1AshFqCXiRbZUArh7hWEf2j+PzbS+PRh7YH6m2veyPjL7t7I8M3z72RypvK/sjlbeV/ZEi2rHRFWi2A/hI/g1eUubeTGAzsCZ/fGyetrdM2n/K73UNuFZV+lY4yD4ZSsBhZe6V8nv9P0Dvzx//vzJpr8nvzR5wrar0rXSQfYJ0M/AIWUd1cOfB9xY8K6/3dytI29bvLbIdm4b6/r8zv/cp22rEdnxl/no+5nvLo9EH9keqbS/7I6NrN/sjI7eR/ZHK28r+SDHtaH+kwmPcrJlRoAPz8/LBN1JK9wO/BZ4TEdOAk/JbV5Ypp//aSQOuVZu+FRxA9snRb8rc+21+7m9T22u7TwB/DpwK9JW5b1vBc/Pz7ypI2+7t9Z78/M0y9y4h+zn9Uv643duqrMgWkb4IuB741IBbtpcaxf5IdeyPjI79kZHZH6mc/ZExsj9SnR0W+BGrgH8mm2f5DPmiNdPJIllPkf1AQjYvc7AV+fnAAdeqTd8K3gxsSnmYb5CD8vO9+fkAsnmst5ZJO1R7VZO+JUTEAuBvgW+nlC6PiM+XSeZ7a3vn4fcR8ddk0f6JwC+By1NKqwekbff31kvJhhHu8P1PKW0EVg+41O5tNZSlQCfw1pTS5gHXbS81iv2R6tgfqZL9kYrZH6mc/ZGxsz9SBYMZg6SUzhvm9ruB/YCVKaWnI2Jfsvl/5SLZ68iGgO4z4Fq16ZteSunH/V9HRABTyNrorWTzI38J/CTveO1NNiS2XEfjkfy8T15WVelbRURMBb4F3MPwO+y0/XuL7Z3PLwC7Drj+VuCjEbE4pfQt31tA9jP3R+DZEfH/gKOAPyH7hPLfgC+nlLbYVuVFxF+Q/SO0JKV0z4Drtpcaxv5IdeyPVMf+SFXsj1TO/sgY2B+pntNMKhCZs4Ce/NLH8/M+wGMppa2D8+RvnEeAffI/qqNJ32qOJvvj9Vuyub7XA69KKW0hW4RmItl8zHIG/1BVm75VLAWeDbwjpVTuD30/31vbPwl5hGwO7gyyDsXHgEnAP0fEobT5eysiJgFTyV7Tz9g+xPM24HDgPOC/I2Iibd5W5eQ/E58n63ydO+i27aWmYn+kYvZHRmZ/pHL2Rypgf2Rs7I+MjsGMEUTEbOBHZNFYgDNTSldXmH0i1Y1+qTZ9s3kE+G+yVYw3AvOBT0RERwV5J+bnStKOJn3DRcRJwFuALwz8BGmU2uG99T3gQ2QLtn0/pfRoSumulNLHybYr3ImsIzGS8f7emp6fn0P2R+uwlNLslNKLyTpbvwAWAadVUNZ4b6tyTgBeAnw8pfRElXnbsb3UIPZHqmJ/ZBj2R6pmf6Qy9kfGxv7IKBjMGEJE7BIRnwJuAhYCa4BXppTOH5Dsj8C0fCjP4PwBTAP+MGB4T7XpW0pK6aaU0qtSSn9ONk/rp8B7gbPIOhZb2P6LbrD+6w/k52rTN7WIeA5wAVnH6iMVZGn791ZK6V9SSp9NKd1X5vYF+flw2vy9RbaXe79TUkr9C92Rt113/vAkbKtnyH82ziGbU3pRmSS2lxrO/kj17I8Mzf5I9eyPVOyxAV/bH6mC/ZHRM5hRRkTMJIsenkO27/aHgYNTSj8clPSPZPv1Ti1TTCdZ1OuBMaRvWSlbab1/DuZx+XDDh4AZQwwtnJGfH8jzV5W+BRxN9n3fCfjPiLi6/2D7EK8f5NeOxPfWsFJKa8l+Ue9PtgBe2763UkpPkf3xWwfcWCbJL4EngNm0eVuV8RLgBcCleTs+g7+31Gj2R8bO/sgO7I8UyP7IdvZHxsT+yCgZzBgkIvYA/ovsB+12YG5K6VMppfVlkt+Vn48qc+/I/Hz3GNI3tYg4JCLuiIieIZKsyc/9iyXdRbYg12Fl0g7VXtWkbwWHAK8adEzK770yf7w3vrf2johTIuLoIe53kHWK7sw/3Wn399Z9wM5sHzY40IT8WGdb7eB9+fkbw6SxvdQQ9kcqZ39kVOyPVMD+SNXsj4yO/ZFRMpixo9OAOWRb1rxk4BCpMr6Tn48vc++4/HzpGNI3u/vI5sC9Il/MZ7C5+flX+blt2yuldFFKKcodwO/zZB35tf+gjdsq9wTZ4mSXR8SuZe4fTfap0s3543ZvryuBXcjaZbCjyDrwq/LH7d5WAETEFOBE4A7Kf4LUz/ZSo9gfqZz9kQrZH6ma/ZHq2B+pkv2RMUopeQw4yPbiTcALKki7E3A/2RZUrx9w/fj82v3ATqNN3woH8H95e32K7I9f//WDyVYRT8Cx+bXpZMNkN5AtogTZUMS/ydP9fFDZVaVv1YNsz+00lvfKOH1vfStvl8uAKQOuH04Wbd5EtrhU27+3gFn593n1wN9d+c/hbflreo1t9YzX9Vd5/b8+Qjrby6MhB/ZHqm0v+yNjb8PV2B8p1y72Rypvq1nYH6m2zeyPjKX9Gl2BZjrIhkRtzb/B1wBXD3UMyPP6AXl+B9yZf72VbG7m4OeoKn2zH8BL81/iiWye5PVkEdfN+bXzB6U/I7+e8nT35V+vB44oU35V6VvxoEznwffWtl/C/a9hLfATss79lvz99QHfW894PZ/O67+F7NPHmwf8HH7VttrhNV2Yv4aTK0jb9u3lUd8D+yOjaTP7I2Nvw9XYHynXLvZHqmsv+yPVtZf9kbG0X6Mr0EwH2dzAVMkxKN9C4DqyBW/WAcuAlw/zPFWlb/YD+DOyoUy35z8cdwFXAUcPkf4Esv2nnyJb+fh7wJxhyq8qfasdDNF58L2VIFug6B/JOg1P5e+tfycbcu1765mvJYC3ATeQDYt9kGxrwuNsq7Jt1f9zd2CFedq2vTzqf2B/ZLTtZn9kbO3X/3vR/siOr8f+SOVtZX+kurbq/7mzPzKKI/IXKUmSJEmS1BJcAFSSJEmSJLUUgxmSJEmSJKmlGMyQJEmSJEktxWCGJEmSJElqKQYzJEmSJElSSzGYIUmSJEmSWorBDEmSJEmS1FIMZkiSJEmSpJZiMEOS2kBEXBQRaZhjXUTcGBHfjIg/a2D9ltT7uccqIk7pb8dG10WSpGZmf6R22rE/YjBDkgSwO/Ai4BTg1xFx+uAEEbEgIpZExHF1rlvbiYgX5G19SqPrIklSHdkfaSLN3h8xmCFJ7eXHKaUYeJD9LXgO8FZgDdABnBcRswflXQB8DDiujvVtVy8ga+tTGlsNSZJqwv5Ia3gBTdwfMZghSW0uZe5NKV0KHA2sB3YCPtTYmkmSpHZhf0TVMpghSdompXQH8IP84WGNrIskSWpP9kdUCYMZkqTBVufng2D7glJkwwwBTs4XmFpdJm9ZkXljRPwwIh6NiPUR8ZuI+GhETB4h724R8XcRUYqI30fEhoi4MyK+HhGHDJNvakR8LCJ+FhEPRcTjEXFzRJwXEftUWvexiojZ+UJmv8nr8HhE3BIR34qIFw9KuyBv62/ml14+1GJeEfHSiOiNiJ9HxJMR8UhE/Dgi3hcROw9Tn5dHxH9ExO359+H3EXFtRHRFRBT76iVJGrXV+dn+SAHGY39kp2oaQJLUFg7Iz2uKKCwiJgIXAW8bdOsQ4B+A44G7h8h7AHAN8KeDbh2YH6dERHdK6RuD8s0CfgbsPSjfn+fHyRHxgpTSPdW+nmpERBfwvTK3np8fb4uIN6aUvltluR8GPjHo8q7AX+THOyPiNSmlhwfl+yzw94Py7Z8frwD+scx9SZIawf5IQcZrf8SRGZKkbSLiT4HX5A9vBkgpXZQvzPUP+fWL88W6ZlVY7Cls7zhcQ/bHbRowD7iCbHGp48vUZWfg38k6Dk8DHwT+DNgTeDWwCpgI9EbESwdl/yZZx2E18DpgBtAJvBa4H5gOnFth/UclInYBvp0//AlwVF6HqcDLyTo3AXyxP09KaXne1u/ML/14wMJo/eW+ke0dh/8BFpK152Fk36OtwIuBiwd+shERL2d7x+ArZG05mawT9k/59f8vIg4d40uXJGlM7I8UZ1z3R1JKHh4eHh7j/CD7JCIBy8vcC+BZbF89PAGbgNmD0i3J711UxfPuCtyb57sSmDjo/gTg0vx+ApYMuPfWAdePLlP2bsAt+f1rBlyfnNc/AceUyded31tTUNue0l/PQdcPz68/DUwrk2/WgNe39xBlLh90fQJwe35vGdBRptx3Dih33oDrn8ivrSiTZ8KA79O7Gv1+9fDw8PAYn4f9kWfksz+yY56q+iOOzJCk9rJtzuOAuY9byf5w/AvZlmibgTNTSquKeD6yjslW4OyU0paBN1NKW4GP5vcHe21+/mFK6UeDb6aUngQ+nT98Zf7JA2RbufVPo5xUptxvkb3OI6t4HaPxEHAScFxKaW2Z+w8M+HrXCst8LtuHuH4kpbSpTJpvAb/Lvz62zHPsnA+13Sb/PryQrF2uqLAukiSNlv0R+yNj7o8YzJAkQRYBvwO4HHhJSukrBZXb/4fudyml28o+cbZi+W/L3Hpufr5mmPKvzc9BPrc2pfQ48PP8+iUR8dWIeFFETMjvb0jZ1m/3VvE6qpY/x7+mlP5r4PWI2Cki5pENraxWf5s8CawY4nm3AP2drYMG3Pphfn4R8NOIeFdETB2Q78G8zo+Pol6SJBXB/kjBxnN/xGCGJLWXbXMeBx0TUkp/mlJ6U0rppgKfr/+P3Z0jpLtrmLyrh8n3ILAh/3rgH8q3ATcBuwOLgRuBh/MVyN8XEfuNUJ9CROaoiPhMRFwVEbey/Q//e0dR5LY2Sfl4zCGszs/b2iTvxPw/YCNwBPDPwKMR8cuI+GK+crn9AklSPdgfsT8y5v6InRZJUi09XWG6LWWuVbpN6Ob83NF/IaX0O7JFp/6KbPGtB8gWpToWuAC4KyLOqqTwfMuxMyLiXUMlGSLfbkCJbLGts4FXAeuBi4G/JvtEolqjbhOAlNKngeeRLbz1U7J2nwN8ALgOWBERB46iXpIkNTP7I+OwP2IwQ5JUS/2fgBw0bKpsBevB7sjPfzJMvj3JPu2A7fMygWx4Y0rpeymld5HNk30u8H6yT0gmAV+IiGNGqBdkK5Wfz/bV0wfrHOL6Z8nm2T4EvAnYPaX0wpRSd0qpJ69Htba1yQh7sPe35+8G30gprU4p/WNKaT7ZSuavAL5O9gnNEWxf8VySpPHC/sg47I8YzJAk1VJ/5+FPI+J55RJExP5ke5wPlXe4P/CvzM+pP31E/HlE/G1EnNqfKGXuTCktBeaSDfOE7NOJkTyan/cZvFBV7tn5+feDrr8pP5+TUro8pTT4U6HnUr3+NtkdGLz9GwB5HY/OH94+4Pr78naZ038tpfRkSulHKaX3Am/OLx8ZEXuMom6SJDUr+yPjsD9iMEOSVK1KhxYC/JhsvuQE4HOD//jm0fwlbF/te6Af5OdjImLhDpWI2J1s5XGAZSml/rmq+wGfB74WEQeUKTexfRjpYxW8hl/n5w6yT0UG1mEn4A35w98Myte/mvmGQdf7X/fZAy8N8dyDr9/O9g7EJ/PnH+ydZEM3AQYu9nUyWbucOcRz9Q8F3UDlw3ElSWoU+yPb69CW/RGDGZKkah0WEbuMMKwQgJTSRuBj+cO/Ar4fEfMjojMiXkS2/do7gXVlsl8G9G/H9oOI+JuIOCgipkfEq4AbyP5IbgU+MiDfzWz/4/fdiPiLiJgSEZMj4jDgn8iGL8L21ceHcwPbFwT7ekS8PiL2johD8vrPyu8NXg38//Lzkoh4eUTsFhF7RsQryDpGA+e8dkVEuW3bDo6I3fvbOt+y7MP5vUXAtfnr64yIQyLi40BPfv8HZPNQ+63MzydHxDkR8eyI2Dki9oqINwK9+f3lZT61kSSp2dgfaff+SErJw8PDw2OcH8BFZJ8ALB9DGW/Py0hk0fLbKsw3kWyv8TTEcRNwVv71kkF5DyKL/A+VdzNwSpnnfN8wefqPv6vitf8FWQdnqLK+WCbPXLKVuofK8xmyRa76H988IO/LBlzfBKwfVPaSEV7bDcCeg/LsQTbHdbh8dwH7Nvr96uHh4eExPg/7I/ZHiuyPODJDklSp75B9ivAo2acPf6gkU8r2GT8ZOBFYRjaUciPZH7JPAkcBfUPkvRN4AdkQyO8Da4DHybYSuwCYk1K6qEy+rwFHAlcAt5EtJtVH9snKRcDhKaXPV1L/vLz/AQ4mW5jqV8BTZMNVfwAck1I6o0yeG4EXAv+Wp90I3Ef26cmLU0ofAt5D9of+UbKORL+fAJ8A/kg2BPWBQWUvAeYD3yCbb/skWSfrSrKO01+klB4elOdx4HCylcN/npe5kaxN/wc4DTgspVTR91WSpAaxP2J/BIDIoyOSJEmSJEktwZEZkiRJkiSppRjMkCRJkiRJLcVghiRJkiRJaikGMyRJkiRJUksxmCFJkiRJklqKwQxJkiRJktRSDGZIkiRJkqSWYjBDkiRJkiS1FIMZkiRJkiSppRjMkCRJkiRJLcVghiRJkiRJain/P6kbk8Ybuu7PAAAAAElFTkSuQmCC\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize = (18, 8))\n",
        "bin = 20\n",
        "var = b'METPt' \n",
        "range_ = (0, 600)\n",
        "\n",
        "# Background\n",
        "plt.subplot(121)\n",
        "Mww_back = [ DrellYan[var], QCD_[var], SingleTop[var], VVInclusivo[var], Wjets[var], TTbar[var] ]\n",
        "label_back = [ 'Drell_Yan', 'QCD', 'Single_top', 'VV_Inclusivo', 'W_Jets', 'TT_bar' ]\n",
        "weights_back = [ Drell_Yan[b'weight'], QCD[b'weight'], Single_top[b'weight'], VV_Inclusivo[b'weight'], W_Jets[b'weight'], TT_bar[b'weight'] ]\n",
        "\n",
        "# Dados\n",
        "counts_1, bin_edges_1 = np.histogram( data[var] , bins = bin, range = range_ )\n",
        "errors_1 = np.sqrt( counts_1 )\n",
        "bin_centres_1 = ( bin_edges_1[:-1] + bin_edges_1[1:] ) / 2.\n",
        "plt.errorbar( bin_centres_1, counts_1, yerr=errors_1, xerr=abs(bin_centres_1[0] - bin_centres_1[1])/2, fmt='.', label = 'Data-2016', color = 'black' )\n",
        "\n",
        "plt.hist(Mww_back, label = label_back, bins = bin, weights = weights_back, range = range_, stacked = True, histtype = 'bar', linestyle = '-')\n",
        "plt.legend(loc = 'best', fontsize = 13)\n",
        "#plt.yscale('log')\n",
        "plt.xlabel('Pt do MET')\n",
        "plt.ylabel('# Eventos')\n",
        "plt.title('Background')\n",
        "\n",
        "\n",
        "# Signal\n",
        "plt.subplot(122)\n",
        "Mww_signal = [ A01[var], A02[var], A03[var], A04[var], A05[var], A06[var], A07[var], A08[var] ]\n",
        "label_signal = [ 'Anomalo 01', 'Anomalo 02', 'Anomalo 03', 'Anomalo 04', 'Anomalo 05', 'Anomalo 06', 'Anomalo 07', 'Anomalo 08',  ]\n",
        "weights_signal = [ A01[b'weight'], A02[b'weight'], A03[b'weight'], A04[b'weight'], A05[b'weight'], A06[b'weight'], A07[b'weight'], A08[b'weight'] ]\n",
        "\n",
        "\n",
        "plt.hist(Mww_signal, label = label_signal, bins = bin, weights = weights_signal, range = range_, histtype = 'step', linestyle = '-')\n",
        "plt.yscale('log')\n",
        "plt.legend(loc = 'best', fontsize = 13)\n",
        "plt.xlabel('Pt do MET')\n",
        "plt.ylabel('# Eventos')\n",
        "plt.title('Signal')\n",
        "\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 569
        },
        "id": "dzMuB_QJLJ9m",
        "outputId": "a7834d2d-5ddb-4090-913a-8e76955bb067"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Signal')"
            ]
          },
          "metadata": {},
          "execution_count": 37
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1296x576 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize = (18, 8))\n",
        "bin = 20\n",
        "var = b'jetAK8_tau21' \n",
        "range_ = (0.2, 0.6)\n",
        "\n",
        "# Background\n",
        "plt.subplot(121)\n",
        "Mww_back = [ DrellYan[var], QCD_[var], SingleTop[var], VVInclusivo[var], Wjets[var], TTbar[var] ]\n",
        "label_back = [ 'Drell_Yan', 'QCD', 'Single_top', 'VV_Inclusivo', 'W_Jets', 'TT_bar' ]\n",
        "weights_back = [ Drell_Yan[b'weight'], QCD[b'weight'], Single_top[b'weight'], VV_Inclusivo[b'weight'], W_Jets[b'weight'], TT_bar[b'weight'] ]\n",
        "\n",
        "# Dados\n",
        "counts_1, bin_edges_1 = np.histogram( data[var] , bins = bin, range = range_ )\n",
        "errors_1 = np.sqrt( counts_1 )\n",
        "bin_centres_1 = ( bin_edges_1[:-1] + bin_edges_1[1:] ) / 2.\n",
        "plt.errorbar( bin_centres_1, counts_1, yerr=errors_1, xerr=abs(bin_centres_1[0] - bin_centres_1[1])/2, fmt='.', label = 'Data-2016', color = 'black' )\n",
        "\n",
        "plt.hist(Mww_back, label = label_back, bins = bin, weights = weights_back, range = range_, stacked = True, histtype = 'bar', linestyle = '-')\n",
        "plt.legend(loc = 'best', fontsize = 13)\n",
        "#plt.yscale('log')\n",
        "plt.xlabel('Tau 21')\n",
        "plt.ylabel('# Eventos')\n",
        "plt.title('Background')\n",
        "\n",
        "\n",
        "# Signal\n",
        "plt.subplot(122)\n",
        "Mww_signal = [ A01[var], A02[var], A03[var], A04[var], A05[var], A06[var], A07[var], A08[var] ]\n",
        "label_signal = [ 'Anomalo 01', 'Anomalo 02', 'Anomalo 03', 'Anomalo 04', 'Anomalo 05', 'Anomalo 06', 'Anomalo 07', 'Anomalo 08',  ]\n",
        "weights_signal = [ A01[b'weight'], A02[b'weight'], A03[b'weight'], A04[b'weight'], A05[b'weight'], A06[b'weight'], A07[b'weight'], A08[b'weight'] ]\n",
        "\n",
        "\n",
        "plt.hist(Mww_signal, label = label_signal, bins = bin, weights = weights_signal, range = range_, histtype = 'step', linestyle = '-')\n",
        "plt.yscale('log')\n",
        "plt.legend(loc = 'best', fontsize = 13)\n",
        "plt.xlabel('Tau 21')\n",
        "plt.ylabel('# Eventos')\n",
        "plt.title('Signal')\n",
        "\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 569
        },
        "id": "DezmZ49tL5vC",
        "outputId": "d279d7c7-3f8f-42b2-c106-9f9d404b4718"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Signal')"
            ]
          },
          "metadata": {},
          "execution_count": 38
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1296x576 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize = (18, 8))\n",
        "bin = 20\n",
        "var = b'jetAK8_prunedMass' \n",
        "range_ = (0, 150)\n",
        "\n",
        "# Background\n",
        "plt.subplot(121)\n",
        "Mww_back = [ DrellYan[var], QCD_[var], SingleTop[var], VVInclusivo[var], Wjets[var], TTbar[var] ]\n",
        "label_back = [ 'Drell_Yan', 'QCD', 'Single_top', 'VV_Inclusivo', 'W_Jets', 'TT_bar' ]\n",
        "weights_back = [ Drell_Yan[b'weight'], QCD[b'weight'], Single_top[b'weight'], VV_Inclusivo[b'weight'], W_Jets[b'weight'], TT_bar[b'weight'] ]\n",
        "\n",
        "# Dados\n",
        "counts_1, bin_edges_1 = np.histogram( data[var] , bins = bin, range = range_ )\n",
        "errors_1 = np.sqrt( counts_1 )\n",
        "bin_centres_1 = ( bin_edges_1[:-1] + bin_edges_1[1:] ) / 2.\n",
        "plt.errorbar( bin_centres_1, counts_1, yerr=errors_1, xerr=abs(bin_centres_1[0] - bin_centres_1[1])/2, fmt='.', label = 'Data-2016', color = 'black' )\n",
        "\n",
        "plt.hist(Mww_back, label = label_back, bins = bin, weights = weights_back, range = range_, stacked = True, histtype = 'bar', linestyle = '-')\n",
        "plt.legend(loc = 'best', fontsize = 13)\n",
        "#plt.yscale('log')\n",
        "plt.xlabel('Massa Podada')\n",
        "plt.ylabel('# Eventos')\n",
        "plt.title('Background')\n",
        "\n",
        "\n",
        "# Signal\n",
        "plt.subplot(122)\n",
        "Mww_signal = [ A01[var], A02[var], A03[var], A04[var], A05[var], A06[var], A07[var], A08[var] ]\n",
        "label_signal = [ 'Anomalo 01', 'Anomalo 02', 'Anomalo 03', 'Anomalo 04', 'Anomalo 05', 'Anomalo 06', 'Anomalo 07', 'Anomalo 08',  ]\n",
        "weights_signal = [ A01[b'weight'], A02[b'weight'], A03[b'weight'], A04[b'weight'], A05[b'weight'], A06[b'weight'], A07[b'weight'], A08[b'weight'] ]\n",
        "\n",
        "\n",
        "plt.hist(Mww_signal, label = label_signal, bins = bin, weights = weights_signal, range = range_, histtype = 'step', linestyle = '-')\n",
        "plt.yscale('log')\n",
        "plt.legend(loc = 'best', fontsize = 13)\n",
        "plt.xlabel('Massa Podada')\n",
        "plt.ylabel('# Eventos')\n",
        "plt.title('Signal')\n",
        "\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 569
        },
        "id": "rJW95sLqMN2w",
        "outputId": "e0544562-a291-4523-c9e3-ed277552a78b"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Signal')"
            ]
          },
          "metadata": {},
          "execution_count": 39
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1296x576 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize = (18, 8))\n",
        "bin = 20\n",
        "var = b'muon_pt' \n",
        "range_ = (0, 500)\n",
        "\n",
        "# Background\n",
        "plt.subplot(121)\n",
        "Mww_back = [ DrellYan[var], QCD_[var], SingleTop[var], VVInclusivo[var], Wjets[var], TTbar[var] ]\n",
        "label_back = [ 'Drell_Yan', 'QCD', 'Single_top', 'VV_Inclusivo', 'W_Jets', 'TT_bar' ]\n",
        "weights_back = [ Drell_Yan[b'weight'], QCD[b'weight'], Single_top[b'weight'], VV_Inclusivo[b'weight'], W_Jets[b'weight'], TT_bar[b'weight'] ]\n",
        "\n",
        "# Dados\n",
        "counts_1, bin_edges_1 = np.histogram( data[var] , bins = bin, range = range_ )\n",
        "errors_1 = np.sqrt( counts_1 )\n",
        "bin_centres_1 = ( bin_edges_1[:-1] + bin_edges_1[1:] ) / 2.\n",
        "plt.errorbar( bin_centres_1, counts_1, yerr=errors_1, xerr=abs(bin_centres_1[0] - bin_centres_1[1])/2, fmt='.', label = 'Data-2016', color = 'black' )\n",
        "\n",
        "plt.hist(Mww_back, label = label_back, bins = bin, weights = weights_back, range = range_, stacked = True, histtype = 'bar', linestyle = '-')\n",
        "plt.legend(loc = 'best', fontsize = 13)\n",
        "#plt.yscale('log')\n",
        "plt.xlabel('Pt do Múon')\n",
        "plt.ylabel('# Eventos')\n",
        "plt.title('Background')\n",
        "\n",
        "\n",
        "# Signal\n",
        "plt.subplot(122)\n",
        "Mww_signal = [ A01[var], A02[var], A03[var], A04[var], A05[var], A06[var], A07[var], A08[var] ]\n",
        "label_signal = [ 'Anomalo 01', 'Anomalo 02', 'Anomalo 03', 'Anomalo 04', 'Anomalo 05', 'Anomalo 06', 'Anomalo 07', 'Anomalo 08',  ]\n",
        "weights_signal = [ A01[b'weight'], A02[b'weight'], A03[b'weight'], A04[b'weight'], A05[b'weight'], A06[b'weight'], A07[b'weight'], A08[b'weight'] ]\n",
        "\n",
        "\n",
        "plt.hist(Mww_signal, label = label_signal, bins = bin, weights = weights_signal, range = range_, histtype = 'step', linestyle = '-')\n",
        "plt.yscale('log')\n",
        "plt.legend(loc = 'best', fontsize = 13)\n",
        "plt.xlabel('Pt do Múon')\n",
        "plt.ylabel('# Eventos')\n",
        "plt.title('Signal')\n",
        "\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 569
        },
        "id": "-TugIwPyMiOv",
        "outputId": "8e6dd6f7-2483-4136-e5aa-b5f099028815"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Signal')"
            ]
          },
          "metadata": {},
          "execution_count": 40
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1296x576 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize = (18, 8))\n",
        "bin = 20\n",
        "var = b'ExtraTracks' \n",
        "range_ = (0, 60)\n",
        "\n",
        "# Background\n",
        "plt.subplot(121)\n",
        "Mww_back = [ DrellYan[var], QCD_[var], SingleTop[var], VVInclusivo[var], Wjets[var], TTbar[var] ]\n",
        "label_back = [ 'Drell_Yan', 'QCD', 'Single_top', 'VV_Inclusivo', 'W_Jets', 'TT_bar' ]\n",
        "weights_back = [ Drell_Yan[b'weight'], QCD[b'weight'], Single_top[b'weight'], VV_Inclusivo[b'weight'], W_Jets[b'weight'], TT_bar[b'weight'] ]\n",
        "\n",
        "# Dados\n",
        "counts_1, bin_edges_1 = np.histogram( data[var] , bins = bin, range = range_ )\n",
        "errors_1 = np.sqrt( counts_1 )\n",
        "bin_centres_1 = ( bin_edges_1[:-1] + bin_edges_1[1:] ) / 2.\n",
        "plt.errorbar( bin_centres_1, counts_1, yerr=errors_1, xerr=abs(bin_centres_1[0] - bin_centres_1[1])/2, fmt='.', label = 'Data-2016', color = 'black' )\n",
        "\n",
        "plt.hist(Mww_back, label = label_back, bins = bin, weights = weights_back, range = range_, stacked = True, histtype = 'bar', linestyle = '-')\n",
        "plt.legend(loc = 'best', fontsize = 13)\n",
        "#plt.yscale('log')\n",
        "plt.xlabel('Traços Extras')\n",
        "plt.ylabel('# Eventos')\n",
        "plt.title('Background')\n",
        "\n",
        "\n",
        "# Signal\n",
        "plt.subplot(122)\n",
        "Mww_signal = [ A01[var], A02[var], A03[var], A04[var], A05[var], A06[var], A07[var], A08[var] ]\n",
        "label_signal = [ 'Anomalo 01', 'Anomalo 02', 'Anomalo 03', 'Anomalo 04', 'Anomalo 05', 'Anomalo 06', 'Anomalo 07', 'Anomalo 08',  ]\n",
        "weights_signal = [ A01[b'weight'], A02[b'weight'], A03[b'weight'], A04[b'weight'], A05[b'weight'], A06[b'weight'], A07[b'weight'], A08[b'weight'] ]\n",
        "\n",
        "\n",
        "plt.hist(Mww_signal, label = label_signal, bins = bin, weights = weights_signal, range = range_, histtype = 'step', linestyle = '-')\n",
        "plt.yscale('log')\n",
        "plt.legend(loc = 'best', fontsize = 13)\n",
        "plt.xlabel('Traços Extras')\n",
        "plt.ylabel('# Eventos')\n",
        "plt.title('Signal')\n",
        "\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 569
        },
        "id": "2uIe2pppEGA5",
        "outputId": "e850fbf3-3946-440e-a4dd-41b066f9eb34"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Signal')"
            ]
          },
          "metadata": {},
          "execution_count": 41
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1296x576 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize = (18, 8))\n",
        "bin = 20\n",
        "var = b'muon_eta' \n",
        "range_ = (0, 2.5)\n",
        "\n",
        "# Background\n",
        "plt.subplot(121)\n",
        "Mww_back = [ DrellYan[var], QCD_[var], SingleTop[var], VVInclusivo[var], Wjets[var], TTbar[var] ]\n",
        "label_back = [ 'Drell_Yan', 'QCD', 'Single_top', 'VV_Inclusivo', 'W_Jets', 'TT_bar' ]\n",
        "weights_back = [ Drell_Yan[b'weight'], QCD[b'weight'], Single_top[b'weight'], VV_Inclusivo[b'weight'], W_Jets[b'weight'], TT_bar[b'weight'] ]\n",
        "\n",
        "# Dados\n",
        "counts_1, bin_edges_1 = np.histogram( data[var] , bins = bin, range = range_ )\n",
        "errors_1 = np.sqrt( counts_1 )\n",
        "bin_centres_1 = ( bin_edges_1[:-1] + bin_edges_1[1:] ) / 2.\n",
        "plt.errorbar( bin_centres_1, counts_1, yerr=errors_1, xerr=abs(bin_centres_1[0] - bin_centres_1[1])/2, fmt='.', label = 'Data-2016', color = 'black' )\n",
        "\n",
        "plt.hist(Mww_back, label = label_back, bins = bin, weights = weights_back, range = range_, stacked = True, histtype = 'bar', linestyle = '-')\n",
        "plt.legend(loc = 'best', fontsize = 13)\n",
        "#plt.yscale('log')\n",
        "plt.xlabel('Eta do Múon')\n",
        "plt.ylabel('# Eventos')\n",
        "plt.title('Background')\n",
        "\n",
        "\n",
        "# Signal\n",
        "plt.subplot(122)\n",
        "Mww_signal = [ A01[var], A02[var], A03[var], A04[var], A05[var], A06[var], A07[var], A08[var] ]\n",
        "label_signal = [ 'Anomalo 01', 'Anomalo 02', 'Anomalo 03', 'Anomalo 04', 'Anomalo 05', 'Anomalo 06', 'Anomalo 07', 'Anomalo 08',  ]\n",
        "weights_signal = [ A01[b'weight'], A02[b'weight'], A03[b'weight'], A04[b'weight'], A05[b'weight'], A06[b'weight'], A07[b'weight'], A08[b'weight'] ]\n",
        "\n",
        "\n",
        "plt.hist(Mww_signal, label = label_signal, bins = bin, weights = weights_signal, range = range_, histtype = 'step', linestyle = '-')\n",
        "plt.yscale('log')\n",
        "plt.legend(loc = 'best', fontsize = 13)\n",
        "plt.xlabel('Eta do Múon')\n",
        "plt.ylabel('# Eventos')\n",
        "plt.title('Signal')\n",
        "\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 569
        },
        "id": "5yG3_Fw-ETVK",
        "outputId": "cb7ec94a-63c8-4d2d-ad87-1867e6e624ba"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Signal')"
            ]
          },
          "metadata": {},
          "execution_count": 42
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1296x576 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize = (18, 8))\n",
        "bin = 20\n",
        "var = b'jetAK8_eta'\n",
        "var1 = b'jet_eta'\n",
        "range_ = (0, 2.5)\n",
        "\n",
        "# Background\n",
        "plt.subplot(121)\n",
        "Mww_back = [ DrellYan[var], QCD_[var], SingleTop[var], VVInclusivo[var], Wjets[var], TTbar[var] ]\n",
        "label_back = [ 'Drell_Yan', 'QCD', 'Single_top', 'VV_Inclusivo', 'W_Jets', 'TT_bar' ]\n",
        "weights_back = [ Drell_Yan[b'weight'], QCD[b'weight'], Single_top[b'weight'], VV_Inclusivo[b'weight'], W_Jets[b'weight'], TT_bar[b'weight'] ]\n",
        "\n",
        "# Dados\n",
        "counts_1, bin_edges_1 = np.histogram( data[var1] , bins = bin, range = range_ )\n",
        "errors_1 = np.sqrt( counts_1 )\n",
        "bin_centres_1 = ( bin_edges_1[:-1] + bin_edges_1[1:] ) / 2.\n",
        "plt.errorbar( bin_centres_1, counts_1, yerr=errors_1, xerr=abs(bin_centres_1[0] - bin_centres_1[1])/2, fmt='.', label = 'Data-2016', color = 'black' )\n",
        "\n",
        "plt.hist(Mww_back, label = label_back, bins = bin, weights = weights_back, range = range_, stacked = True, histtype = 'bar', linestyle = '-')\n",
        "plt.legend(loc = 'best', fontsize = 13)\n",
        "#plt.yscale('log')\n",
        "plt.xlabel('Eta dos Jatos')\n",
        "plt.ylabel('# Eventos')\n",
        "plt.title('Background')\n",
        "\n",
        "\n",
        "# Signal\n",
        "plt.subplot(122)\n",
        "Mww_signal = [ A01[var], A02[var], A03[var], A04[var], A05[var], A06[var], A07[var], A08[var] ]\n",
        "label_signal = [ 'Anomalo 01', 'Anomalo 02', 'Anomalo 03', 'Anomalo 04', 'Anomalo 05', 'Anomalo 06', 'Anomalo 07', 'Anomalo 08',  ]\n",
        "weights_signal = [ A01[b'weight'], A02[b'weight'], A03[b'weight'], A04[b'weight'], A05[b'weight'], A06[b'weight'], A07[b'weight'], A08[b'weight'] ]\n",
        "\n",
        "\n",
        "plt.hist(Mww_signal, label = label_signal, bins = bin, weights = weights_signal, range = range_, histtype = 'step', linestyle = '-')\n",
        "plt.yscale('log')\n",
        "plt.legend(loc = 'best', fontsize = 13)\n",
        "plt.xlabel('Eta dos Jatos')\n",
        "plt.ylabel('# Eventos')\n",
        "plt.title('Signal')\n",
        "\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 569
        },
        "id": "Bibm9jWmEfE8",
        "outputId": "ae799049-9639-4c58-ce39-44b2b762c87a"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Signal')"
            ]
          },
          "metadata": {},
          "execution_count": 43
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1296x576 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize = (18, 8))\n",
        "bin = 20\n",
        "var = b'W_rapidity'\n",
        "range_ = (-2, 3)\n",
        "\n",
        "# Background\n",
        "plt.subplot(121)\n",
        "Mww_back = [ DrellYan[var], QCD_[var], SingleTop[var], VVInclusivo[var], Wjets[var], TTbar[var] ]\n",
        "label_back = [ 'Drell_Yan', 'QCD', 'Single_top', 'VV_Inclusivo', 'W_Jets', 'TT_bar' ]\n",
        "weights_back = [ Drell_Yan[b'weight'], QCD[b'weight'], Single_top[b'weight'], VV_Inclusivo[b'weight'], W_Jets[b'weight'], TT_bar[b'weight'] ]\n",
        "\n",
        "# Dados\n",
        "counts_1, bin_edges_1 = np.histogram( data[var] , bins = bin, range = range_ )\n",
        "errors_1 = np.sqrt( counts_1 )\n",
        "bin_centres_1 = ( bin_edges_1[:-1] + bin_edges_1[1:] ) / 2.\n",
        "plt.errorbar( bin_centres_1, counts_1, yerr=errors_1, xerr=abs(bin_centres_1[0] - bin_centres_1[1])/2, fmt='.', label = 'Data-2016', color = 'black' )\n",
        "\n",
        "plt.hist(Mww_back, label = label_back, bins = bin, weights = weights_back, range = range_, stacked = True, histtype = 'bar', linestyle = '-')\n",
        "plt.legend(loc = 'best', fontsize = 13)\n",
        "#plt.yscale('log')\n",
        "plt.xlabel('Pseudorapidez do W')\n",
        "plt.ylabel('# Eventos')\n",
        "plt.title('Background')\n",
        "\n",
        "\n",
        "# Signal\n",
        "plt.subplot(122)\n",
        "Mww_signal = [ A01[var], A02[var], A03[var], A04[var], A05[var], A06[var], A07[var], A08[var] ]\n",
        "label_signal = [ 'Anomalo 01', 'Anomalo 02', 'Anomalo 03', 'Anomalo 04', 'Anomalo 05', 'Anomalo 06', 'Anomalo 07', 'Anomalo 08',  ]\n",
        "weights_signal = [ A01[b'weight'], A02[b'weight'], A03[b'weight'], A04[b'weight'], A05[b'weight'], A06[b'weight'], A07[b'weight'], A08[b'weight'] ]\n",
        "\n",
        "\n",
        "plt.hist(Mww_signal, label = label_signal, bins = bin, weights = weights_signal, range = range_, histtype = 'step', linestyle = '-')\n",
        "plt.yscale('log')\n",
        "plt.legend(loc = 'best', fontsize = 13)\n",
        "plt.xlabel('Pseudorapidez do W')\n",
        "plt.ylabel('# Eventos')\n",
        "plt.title('Signal')\n",
        "\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 569
        },
        "id": "nL2FwRCkFRsi",
        "outputId": "7a912d69-e501-4b96-f803-6ade14e55b9c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Signal')"
            ]
          },
          "metadata": {},
          "execution_count": 44
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1296x576 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data.columns"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "FZP00yzJFdeY",
        "outputId": "6e8c9b2c-ed7d-44fb-acec-7f2dab25bb1d"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index([           b'W_Mass',          b'W_pt_lep',      b'dphi_jet_lep',\n",
              "            b'dphi_jet_MET',         b'jetAK8_pt',           b'jet_eta',\n",
              "       b'jetAK8_prunedMass',      b'jetAK8_tau21',             b'METPt',\n",
              "                 b'muon_pt',          b'muon_eta',       b'ExtraTracks',\n",
              "                b'PUWeight',        b'W_rapidity',              b'btag',\n",
              "                     b'xi1',               b'xi2',        b'ismultirp1',\n",
              "              b'ismultirp2',              b'Mpps',              b'Ypps',\n",
              "                b'Mww/Mpps',          b'Ypps-Yww',             b'label'],\n",
              "      dtype='object')"
            ]
          },
          "metadata": {},
          "execution_count": 45
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize = (18, 8))\n",
        "bin = 20\n",
        "var = b'Mpps'\n",
        "range_ = (600, 1650)\n",
        "\n",
        "# Background\n",
        "plt.subplot(121)\n",
        "Mww_back = [ DrellYan[var], QCD_[var], SingleTop[var], VVInclusivo[var], Wjets[var], TTbar[var] ]\n",
        "label_back = [ 'Drell_Yan', 'QCD', 'Single_top', 'VV_Inclusivo', 'W_Jets', 'TT_bar' ]\n",
        "weights_back = [ Drell_Yan[b'weight'], QCD[b'weight'], Single_top[b'weight'], VV_Inclusivo[b'weight'], W_Jets[b'weight'], TT_bar[b'weight'] ]\n",
        "\n",
        "# Dados\n",
        "counts_1, bin_edges_1 = np.histogram( data[var] , bins = bin, range = range_ )\n",
        "errors_1 = np.sqrt( counts_1 )\n",
        "bin_centres_1 = ( bin_edges_1[:-1] + bin_edges_1[1:] ) / 2.\n",
        "plt.errorbar( bin_centres_1, counts_1, yerr=errors_1, xerr=abs(bin_centres_1[0] - bin_centres_1[1])/2, fmt='.', label = 'Data-2016', color = 'black' )\n",
        "\n",
        "plt.hist(Mww_back, label = label_back, bins = bin, weights = weights_back, range = range_, stacked = True, histtype = 'bar', linestyle = '-')\n",
        "plt.legend(loc = 'best', fontsize = 13)\n",
        "#plt.yscale('log')\n",
        "plt.xlabel('$M_{PPS}$')\n",
        "plt.ylabel('# Eventos')\n",
        "plt.title('Background')\n",
        "\n",
        "\n",
        "# Signal\n",
        "plt.subplot(122)\n",
        "Mww_signal = [ A01[var], A02[var], A03[var], A04[var], A05[var], A06[var], A07[var], A08[var] ]\n",
        "label_signal = [ 'Anomalo 01', 'Anomalo 02', 'Anomalo 03', 'Anomalo 04', 'Anomalo 05', 'Anomalo 06', 'Anomalo 07', 'Anomalo 08',  ]\n",
        "weights_signal = [ A01[b'weight'], A02[b'weight'], A03[b'weight'], A04[b'weight'], A05[b'weight'], A06[b'weight'], A07[b'weight'], A08[b'weight'] ]\n",
        "\n",
        "\n",
        "plt.hist(Mww_signal, label = label_signal, bins = bin, weights = weights_signal, range = range_, histtype = 'step', linestyle = '-')\n",
        "plt.yscale('log')\n",
        "plt.legend(loc = 'best', fontsize = 13)\n",
        "plt.xlabel('$M_{PPS}$')\n",
        "plt.ylabel('# Eventos')\n",
        "plt.title('Signal')\n",
        "\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 571
        },
        "id": "4T0C_DHnGLFs",
        "outputId": "60258645-a459-43a9-b12f-de69e4184e8c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Signal')"
            ]
          },
          "metadata": {},
          "execution_count": 46
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1296x576 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize = (18, 8))\n",
        "bin = 20\n",
        "var = b'Ypps'\n",
        "range_ = (-0.6, 0.5)\n",
        "\n",
        "# Background\n",
        "plt.subplot(121)\n",
        "Mww_back = [ DrellYan[var], QCD_[var], SingleTop[var], VVInclusivo[var], Wjets[var], TTbar[var] ]\n",
        "label_back = [ 'Drell_Yan', 'QCD', 'Single_top', 'VV_Inclusivo', 'W_Jets', 'TT_bar' ]\n",
        "weights_back = [ Drell_Yan[b'weight'], QCD[b'weight'], Single_top[b'weight'], VV_Inclusivo[b'weight'], W_Jets[b'weight'], TT_bar[b'weight'] ]\n",
        "\n",
        "# Dados\n",
        "counts_1, bin_edges_1 = np.histogram( data[var] , bins = bin, range = range_ )\n",
        "errors_1 = np.sqrt( counts_1 )\n",
        "bin_centres_1 = ( bin_edges_1[:-1] + bin_edges_1[1:] ) / 2.\n",
        "plt.errorbar( bin_centres_1, counts_1, yerr=errors_1, xerr=abs(bin_centres_1[0] - bin_centres_1[1])/2, fmt='.', label = 'Data-2016', color = 'black' )\n",
        "\n",
        "plt.hist(Mww_back, label = label_back, bins = bin, weights = weights_back, range = range_, stacked = True, histtype = 'bar', linestyle = '-')\n",
        "plt.legend(loc = 'best', fontsize = 13)\n",
        "#plt.yscale('log')\n",
        "plt.xlabel('$Y_{PPS}$')\n",
        "plt.ylabel('# Eventos')\n",
        "plt.title('Background')\n",
        "\n",
        "\n",
        "# Signal\n",
        "plt.subplot(122)\n",
        "Mww_signal = [ A01[var], A02[var], A03[var], A04[var], A05[var], A06[var], A07[var], A08[var] ]\n",
        "label_signal = [ 'Anomalo 01', 'Anomalo 02', 'Anomalo 03', 'Anomalo 04', 'Anomalo 05', 'Anomalo 06', 'Anomalo 07', 'Anomalo 08',  ]\n",
        "weights_signal = [ A01[b'weight'], A02[b'weight'], A03[b'weight'], A04[b'weight'], A05[b'weight'], A06[b'weight'], A07[b'weight'], A08[b'weight'] ]\n",
        "\n",
        "\n",
        "plt.hist(Mww_signal, label = label_signal, bins = bin, weights = weights_signal, range = range_, histtype = 'step', linestyle = '-')\n",
        "plt.yscale('log')\n",
        "plt.legend(loc = 'best', fontsize = 13)\n",
        "plt.xlabel('$Y_{PPS}$')\n",
        "plt.ylabel('# Eventos')\n",
        "plt.title('Signal')\n",
        "\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 571
        },
        "id": "qRaptF_UGqKQ",
        "outputId": "963e5944-cfe0-4830-f694-b23b62f58c18"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Signal')"
            ]
          },
          "metadata": {},
          "execution_count": 47
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1296x576 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize = (18, 8))\n",
        "bin = 20\n",
        "var = b'Mww/Mpps'\n",
        "range_ = (0.25, 1.5)\n",
        "\n",
        "# Background\n",
        "plt.subplot(121)\n",
        "Mww_back = [ DrellYan[var], QCD_[var], SingleTop[var], VVInclusivo[var], Wjets[var], TTbar[var] ]\n",
        "label_back = [ 'Drell_Yan', 'QCD', 'Single_top', 'VV_Inclusivo', 'W_Jets', 'TT_bar' ]\n",
        "weights_back = [ Drell_Yan[b'weight'], QCD[b'weight'], Single_top[b'weight'], VV_Inclusivo[b'weight'], W_Jets[b'weight'], TT_bar[b'weight'] ]\n",
        "\n",
        "# Dados\n",
        "counts_1, bin_edges_1 = np.histogram( data[var] , bins = bin, range = range_ )\n",
        "errors_1 = np.sqrt( counts_1 )\n",
        "bin_centres_1 = ( bin_edges_1[:-1] + bin_edges_1[1:] ) / 2.\n",
        "plt.errorbar( bin_centres_1, counts_1, yerr=errors_1, xerr=abs(bin_centres_1[0] - bin_centres_1[1])/2, fmt='.', label = 'Data-2016', color = 'black' )\n",
        "\n",
        "plt.hist(Mww_back, label = label_back, bins = bin, weights = weights_back, range = range_, stacked = True, histtype = 'bar', linestyle = '-')\n",
        "plt.legend(loc = 'best', fontsize = 13)\n",
        "#plt.yscale('log')\n",
        "plt.xlabel('$\\dfrac{\\mathcal{M}_{ww}}{\\mathcal{M}_{pps}}$')\n",
        "plt.ylabel('# Eventos')\n",
        "plt.title('Background')\n",
        "\n",
        "\n",
        "# Signal\n",
        "plt.subplot(122)\n",
        "Mww_signal = [ A01[var], A02[var], A03[var], A04[var], A05[var], A06[var], A07[var], A08[var] ]\n",
        "label_signal = [ 'Anomalo 01', 'Anomalo 02', 'Anomalo 03', 'Anomalo 04', 'Anomalo 05', 'Anomalo 06', 'Anomalo 07', 'Anomalo 08',  ]\n",
        "weights_signal = [ A01[b'weight'], A02[b'weight'], A03[b'weight'], A04[b'weight'], A05[b'weight'], A06[b'weight'], A07[b'weight'], A08[b'weight'] ]\n",
        "\n",
        "\n",
        "plt.hist(Mww_signal, label = label_signal, bins = bin, weights = weights_signal, range = range_, histtype = 'step', linestyle = '-')\n",
        "plt.yscale('log')\n",
        "plt.legend(loc = 'best', fontsize = 13)\n",
        "plt.xlabel('$\\dfrac{\\mathcal{M}_{ww}}{\\mathcal{M}_{pps}}$')\n",
        "plt.ylabel('# Eventos')\n",
        "plt.title('Signal')\n",
        "\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 607
        },
        "id": "PS7di0w9HAio",
        "outputId": "957b8136-905a-4c71-f8b2-abf3a2fb6297"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Signal')"
            ]
          },
          "metadata": {},
          "execution_count": 48
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1296x576 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize = (18, 8))\n",
        "bin = 20\n",
        "var = b'Ypps-Yww'\n",
        "range_ = (-3, 2)\n",
        "\n",
        "# Background\n",
        "plt.subplot(121)\n",
        "Mww_back = [ DrellYan[var], QCD_[var], SingleTop[var], VVInclusivo[var], Wjets[var], TTbar[var] ]\n",
        "label_back = [ 'Drell_Yan', 'QCD', 'Single_top', 'VV_Inclusivo', 'W_Jets', 'TT_bar' ]\n",
        "weights_back = [ Drell_Yan[b'weight'], QCD[b'weight'], Single_top[b'weight'], VV_Inclusivo[b'weight'], W_Jets[b'weight'], TT_bar[b'weight'] ]\n",
        "\n",
        "# Dados\n",
        "counts_1, bin_edges_1 = np.histogram( data[var] , bins = bin, range = range_ )\n",
        "errors_1 = np.sqrt( counts_1 )\n",
        "bin_centres_1 = ( bin_edges_1[:-1] + bin_edges_1[1:] ) / 2.\n",
        "plt.errorbar( bin_centres_1, counts_1, yerr=errors_1, xerr=abs(bin_centres_1[0] - bin_centres_1[1])/2, fmt='.', label = 'Data-2016', color = 'black' )\n",
        "\n",
        "plt.hist(Mww_back, label = label_back, bins = bin, weights = weights_back, range = range_, stacked = True, histtype = 'bar', linestyle = '-')\n",
        "plt.legend(loc = 'best', fontsize = 13)\n",
        "#plt.yscale('log')\n",
        "plt.xlabel('$Y_{PPS}-Y_{WW}$')\n",
        "plt.ylabel('# Eventos')\n",
        "plt.title('Background')\n",
        "\n",
        "\n",
        "# Signal\n",
        "plt.subplot(122)\n",
        "Mww_signal = [ A01[var], A02[var], A03[var], A04[var], A05[var], A06[var], A07[var], A08[var] ]\n",
        "label_signal = [ 'Anomalo 01', 'Anomalo 02', 'Anomalo 03', 'Anomalo 04', 'Anomalo 05', 'Anomalo 06', 'Anomalo 07', 'Anomalo 08',  ]\n",
        "weights_signal = [ A01[b'weight'], A02[b'weight'], A03[b'weight'], A04[b'weight'], A05[b'weight'], A06[b'weight'], A07[b'weight'], A08[b'weight'] ]\n",
        "\n",
        "\n",
        "plt.hist(Mww_signal, label = label_signal, bins = bin, weights = weights_signal, range = range_, histtype = 'step', linestyle = '-')\n",
        "plt.yscale('log')\n",
        "plt.legend(loc = 'best', fontsize = 13)\n",
        "plt.xlabel('$Y_{PPS}-Y_{WW}$')\n",
        "plt.ylabel('# Eventos')\n",
        "plt.title('Signal')\n",
        "\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 571
        },
        "id": "BO6sSqcEHcwm",
        "outputId": "c188d24e-9f2d-4efe-ae1a-4798a8c9afb3"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Signal')"
            ]
          },
          "metadata": {},
          "execution_count": 49
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1296x576 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# preparando o dataset para inserção na rede neural"
      ],
      "metadata": {
        "id": "NQi525c6skXM"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "comum = list(set(concat_back.columns).intersection(A01.columns))\n",
        "print(comum)\n",
        "print(len(comum))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "eRcZTjGWvA-N",
        "outputId": "acbf909e-1cf0-4972-c4de-f02077d6c79f"
      },
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[b'xi1', b'jetAK8_eta', b'W_rapidity', b'ExtraTracks', b'muon_pt', b'dPhi_jatos_MET', b'label', b'Ypps', b'METPt', b'ismultirp2', b'Mww/Mpps', b'Ypps-Yww', b'jetAK8_tau21', b'W_Mass', b'jetAK8_pt', b'W_pt_lep', b'btag', b'jetAK8_prunedMass', b'Norm', b'dPhi_Whad_Wlep', b'Mpps', b'xi2', b'PUWeight', b'weight', b'ismultirp1', b'muon_eta']\n",
            "26\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "A01_filtrado=A01.filter(comum, axis=1)\n",
        "copia=concat_back.copy()\n",
        "back_A01=pd.concat([concat_back, A01_filtrado], ignore_index=True) #sera que não ordenar o indice interfere no treinamento?\n",
        "back_A01.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "yORm5FFg7Coc",
        "outputId": "2cb02d69-8b84-4998-c87d-8f126563f2da"
      },
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "     b'W_Mass'  b'W_pt_lep'  b'dPhi_Whad_Wlep'  b'dPhi_jatos_MET'  \\\n",
              "0  1004.200826   246.120173           2.937833           2.958131   \n",
              "1   526.408395   257.885326           3.091246           3.113035   \n",
              "2   550.971475   230.774493           2.885788           2.256019   \n",
              "3   578.221005   207.439374           3.042000           2.876895   \n",
              "4   575.953046   222.157730           2.773283           2.753688   \n",
              "\n",
              "   b'jetAK8_pt'  b'jetAK8_eta'  b'jetAK8_prunedMass'  b'jetAK8_tau21'  \\\n",
              "0    373.942699       0.184228             55.062477         0.571314   \n",
              "1    260.352607       0.082333             34.196247         0.574820   \n",
              "2    297.520478       0.012844             26.852690         0.510523   \n",
              "3    281.021543       0.150954             33.618019         0.484481   \n",
              "4    231.744925       0.314940             80.144310         0.459501   \n",
              "\n",
              "     b'METPt'  b'muon_pt'  ...    b'xi2'  b'ismultirp1'  b'ismultirp2'  \\\n",
              "0  186.140570   60.136734  ...  0.055096            1.0            1.0   \n",
              "1  173.642389   84.369019  ...  0.095019            1.0            1.0   \n",
              "2   59.120557  186.278641  ...  0.096801            1.0            1.0   \n",
              "3   54.753107  153.694534  ...  0.113396            1.0            1.0   \n",
              "4  158.536515   63.727394  ...  0.121808            1.0            1.0   \n",
              "\n",
              "    b'Norm'  b'weight'      b'Mpps'   b'Ypps'  b'Mww/Mpps'  b'Ypps-Yww'  \\\n",
              "0  0.103731   0.005340   933.827340  0.265257     1.075360    -2.012286   \n",
              "1  0.103731   0.000001  1066.947416 -0.146473     0.493378    -0.160866   \n",
              "2  0.103731   0.009568  1156.292141 -0.084632     0.476499    -0.459092   \n",
              "3  0.103731   0.000017  1190.220894 -0.213942     0.485810     0.802274   \n",
              "4  0.103731   0.007813   940.096560 -0.521413     0.612653     0.533806   \n",
              "\n",
              "   b'label'  \n",
              "0         0  \n",
              "1         0  \n",
              "2         0  \n",
              "3         0  \n",
              "4         0  \n",
              "\n",
              "[5 rows x 26 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-be985eb2-b2ce-4520-b788-b3bcf7a60a7d\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>b'W_Mass'</th>\n",
              "      <th>b'W_pt_lep'</th>\n",
              "      <th>b'dPhi_Whad_Wlep'</th>\n",
              "      <th>b'dPhi_jatos_MET'</th>\n",
              "      <th>b'jetAK8_pt'</th>\n",
              "      <th>b'jetAK8_eta'</th>\n",
              "      <th>b'jetAK8_prunedMass'</th>\n",
              "      <th>b'jetAK8_tau21'</th>\n",
              "      <th>b'METPt'</th>\n",
              "      <th>b'muon_pt'</th>\n",
              "      <th>...</th>\n",
              "      <th>b'xi2'</th>\n",
              "      <th>b'ismultirp1'</th>\n",
              "      <th>b'ismultirp2'</th>\n",
              "      <th>b'Norm'</th>\n",
              "      <th>b'weight'</th>\n",
              "      <th>b'Mpps'</th>\n",
              "      <th>b'Ypps'</th>\n",
              "      <th>b'Mww/Mpps'</th>\n",
              "      <th>b'Ypps-Yww'</th>\n",
              "      <th>b'label'</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1004.200826</td>\n",
              "      <td>246.120173</td>\n",
              "      <td>2.937833</td>\n",
              "      <td>2.958131</td>\n",
              "      <td>373.942699</td>\n",
              "      <td>0.184228</td>\n",
              "      <td>55.062477</td>\n",
              "      <td>0.571314</td>\n",
              "      <td>186.140570</td>\n",
              "      <td>60.136734</td>\n",
              "      <td>...</td>\n",
              "      <td>0.055096</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.103731</td>\n",
              "      <td>0.005340</td>\n",
              "      <td>933.827340</td>\n",
              "      <td>0.265257</td>\n",
              "      <td>1.075360</td>\n",
              "      <td>-2.012286</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>526.408395</td>\n",
              "      <td>257.885326</td>\n",
              "      <td>3.091246</td>\n",
              "      <td>3.113035</td>\n",
              "      <td>260.352607</td>\n",
              "      <td>0.082333</td>\n",
              "      <td>34.196247</td>\n",
              "      <td>0.574820</td>\n",
              "      <td>173.642389</td>\n",
              "      <td>84.369019</td>\n",
              "      <td>...</td>\n",
              "      <td>0.095019</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.103731</td>\n",
              "      <td>0.000001</td>\n",
              "      <td>1066.947416</td>\n",
              "      <td>-0.146473</td>\n",
              "      <td>0.493378</td>\n",
              "      <td>-0.160866</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>550.971475</td>\n",
              "      <td>230.774493</td>\n",
              "      <td>2.885788</td>\n",
              "      <td>2.256019</td>\n",
              "      <td>297.520478</td>\n",
              "      <td>0.012844</td>\n",
              "      <td>26.852690</td>\n",
              "      <td>0.510523</td>\n",
              "      <td>59.120557</td>\n",
              "      <td>186.278641</td>\n",
              "      <td>...</td>\n",
              "      <td>0.096801</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.103731</td>\n",
              "      <td>0.009568</td>\n",
              "      <td>1156.292141</td>\n",
              "      <td>-0.084632</td>\n",
              "      <td>0.476499</td>\n",
              "      <td>-0.459092</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>578.221005</td>\n",
              "      <td>207.439374</td>\n",
              "      <td>3.042000</td>\n",
              "      <td>2.876895</td>\n",
              "      <td>281.021543</td>\n",
              "      <td>0.150954</td>\n",
              "      <td>33.618019</td>\n",
              "      <td>0.484481</td>\n",
              "      <td>54.753107</td>\n",
              "      <td>153.694534</td>\n",
              "      <td>...</td>\n",
              "      <td>0.113396</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.103731</td>\n",
              "      <td>0.000017</td>\n",
              "      <td>1190.220894</td>\n",
              "      <td>-0.213942</td>\n",
              "      <td>0.485810</td>\n",
              "      <td>0.802274</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>575.953046</td>\n",
              "      <td>222.157730</td>\n",
              "      <td>2.773283</td>\n",
              "      <td>2.753688</td>\n",
              "      <td>231.744925</td>\n",
              "      <td>0.314940</td>\n",
              "      <td>80.144310</td>\n",
              "      <td>0.459501</td>\n",
              "      <td>158.536515</td>\n",
              "      <td>63.727394</td>\n",
              "      <td>...</td>\n",
              "      <td>0.121808</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.103731</td>\n",
              "      <td>0.007813</td>\n",
              "      <td>940.096560</td>\n",
              "      <td>-0.521413</td>\n",
              "      <td>0.612653</td>\n",
              "      <td>0.533806</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 26 columns</p>\n",
              "</div>\n",
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            ]
          },
          "metadata": {},
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# rede neural"
      ],
      "metadata": {
        "id": "NTjwFGVxNqmo"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#ref: https://machinelearningmastery.com/binary-classification-tutorial-with-the-keras-deep-learning-library/\n",
        "!pip install scikeras"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "1QXUwZk_N0LC",
        "outputId": "8fb2d4bf-65ed-46f2-8722-11f36af65605"
      },
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Collecting scikeras\n",
            "  Downloading scikeras-0.8.0-py3-none-any.whl (27 kB)\n",
            "Requirement already satisfied: packaging<22.0,>=0.21 in /usr/local/lib/python3.7/dist-packages (from scikeras) (21.3)\n",
            "Requirement already satisfied: scikit-learn>=1.0.0 in /usr/local/lib/python3.7/dist-packages (from scikeras) (1.0.2)\n",
            "Requirement already satisfied: importlib-metadata>=3 in /usr/local/lib/python3.7/dist-packages (from scikeras) (4.12.0)\n",
            "Requirement already satisfied: typing-extensions>=3.6.4 in /usr/local/lib/python3.7/dist-packages (from importlib-metadata>=3->scikeras) (4.1.1)\n",
            "Requirement already satisfied: zipp>=0.5 in /usr/local/lib/python3.7/dist-packages (from importlib-metadata>=3->scikeras) (3.8.1)\n",
            "Requirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in /usr/local/lib/python3.7/dist-packages (from packaging<22.0,>=0.21->scikeras) (3.0.9)\n",
            "Requirement already satisfied: scipy>=1.1.0 in /usr/local/lib/python3.7/dist-packages (from scikit-learn>=1.0.0->scikeras) (1.7.3)\n",
            "Requirement already satisfied: threadpoolctl>=2.0.0 in /usr/local/lib/python3.7/dist-packages (from scikit-learn>=1.0.0->scikeras) (3.1.0)\n",
            "Requirement already satisfied: joblib>=0.11 in /usr/local/lib/python3.7/dist-packages (from scikit-learn>=1.0.0->scikeras) (1.1.0)\n",
            "Requirement already satisfied: numpy>=1.14.6 in /usr/local/lib/python3.7/dist-packages (from scikit-learn>=1.0.0->scikeras) (1.21.6)\n",
            "Installing collected packages: scikeras\n",
            "Successfully installed scikeras-0.8.0\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Binary Classification with Sonar Dataset: Baseline\n",
        "from pandas import read_csv\n",
        "from tensorflow.keras.models import Sequential\n",
        "from tensorflow.keras.layers import Dense\n",
        "from scikeras.wrappers import KerasClassifier\n",
        "from sklearn.model_selection import cross_val_score\n",
        "from sklearn.preprocessing import LabelEncoder, MinMaxScaler\n",
        "from sklearn.model_selection import StratifiedKFold"
      ],
      "metadata": {
        "id": "iqqprX39OJ3q"
      },
      "execution_count": 14,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# load dataset\n",
        "dataframe = back_A01.copy()\n",
        "dataset = dataframe.values\n",
        "# split into input (X) and output (Y) variables\n",
        "X = dataset[:,0:25].astype(float)\n",
        "Y = dataset[:,25]"
      ],
      "metadata": {
        "id": "svGR5YS-OKiG"
      },
      "execution_count": 15,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#data normalization\n",
        "scaler = MinMaxScaler()\n",
        "scaler.fit(dataframe)\n",
        "scaled = scaler.fit_transform(dataframe)\n",
        "scaled_df = pd.DataFrame(scaled, columns=dataframe.columns)\n",
        "\n",
        "X_normalized = scaled[:,0:25].astype(float)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "g2q_Kr58qUx1",
        "outputId": "f6e02761-01ed-444e-ec0a-ae28139fb51c"
      },
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/sklearn/utils/validation.py:1692: FutureWarning: Feature names only support names that are all strings. Got feature names with dtypes: ['bytes']. An error will be raised in 1.2.\n",
            "  FutureWarning,\n",
            "/usr/local/lib/python3.7/dist-packages/sklearn/utils/validation.py:1692: FutureWarning: Feature names only support names that are all strings. Got feature names with dtypes: ['bytes']. An error will be raised in 1.2.\n",
            "  FutureWarning,\n",
            "/usr/local/lib/python3.7/dist-packages/sklearn/utils/validation.py:1692: FutureWarning: Feature names only support names that are all strings. Got feature names with dtypes: ['bytes']. An error will be raised in 1.2.\n",
            "  FutureWarning,\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# encode class values as integers\n",
        "encoder = LabelEncoder()\n",
        "encoder.fit(Y)\n",
        "encoded_Y = encoder.transform(Y)"
      ],
      "metadata": {
        "id": "vweLUNf1OLo3"
      },
      "execution_count": 17,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# baseline model\n",
        "def create_baseline():\n",
        "\t# create model\n",
        "\tmodel = Sequential()\n",
        "\tmodel.add(Dense(25, input_shape=(25,), activation='relu'))\n",
        "\tmodel.add(Dense(1, activation='sigmoid'))\n",
        "\t# Compile model\n",
        "\tmodel.compile(loss='binary_crossentropy', optimizer='adam', metrics=['accuracy'])\n",
        "\treturn model"
      ],
      "metadata": {
        "id": "EliLCsZOOLdK"
      },
      "execution_count": 18,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# evaluate model with standardized dataset\n",
        "modelo=create_baseline()\n",
        "estimator = KerasClassifier(model=modelo, epochs=20, batch_size=20, verbose=0)\n",
        "kfold = StratifiedKFold(n_splits=10, shuffle=True)\n",
        "results = cross_val_score(estimator, X_normalized, encoded_Y, cv=kfold)\n",
        "print(\"Baseline: %.2f%% (%.2f%%)\" % (results.mean()*100, results.std()*100))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Nl8kiHL0OLRk",
        "outputId": "ac208baf-e291-404f-9238-dde3fbdf9242"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "INFO:tensorflow:Assets written to: ram:///tmp/tmpdvyt5e1m/assets\n",
            "INFO:tensorflow:Assets written to: ram:///tmp/tmpcj2mf1hr/assets\n",
            "INFO:tensorflow:Assets written to: ram:///tmp/tmp1nertymb/assets\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# serialize model to JSON\n",
        "model_json = modelo.to_json()\n",
        "with open(\"Background+Anomalo01-normalizado.json\", \"w\") as json_file:\n",
        "    json_file.write(model_json)\n",
        "# serialize weights to HDF5\n",
        "modelo.save_weights(\"Background+Anomalo01-normalizado.h5\")\n",
        "print(\"Saved model to disk\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "qcaLZAPsOLDB",
        "outputId": "3fcc075a-a3e0-413e-c608-64b16cf34cfb"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Saved model to disk\n"
          ]
        }
      ]
    }
  ]
}