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October 23, 2015 11:27
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| { | |
| "cells": [ | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "# Plot Kinematic Distributions" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 16, | |
| "metadata": { | |
| "collapsed": false | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "import glob\n", | |
| "import numpy as np\n", | |
| "from numpy.lib.recfunctions import stack_arrays\n", | |
| "from root_numpy import root2rec\n", | |
| "from rootpy.io import root_open\n", | |
| "from rootpy.testdata import get_file\n", | |
| "from rootpy.plotting.style import get_style, set_style\n", | |
| "import pandas as pd\n", | |
| "import matplotlib.pyplot as plt\n", | |
| "%matplotlib inline" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "### Get Lumi and Cross Section\n", | |
| "Either hardcoded in, or read in from lumitable.csv (Total \"Luminosity Prescale Corrected\")" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 2, | |
| "metadata": { | |
| "collapsed": false | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "#Lumi = pd.read_csv('lumitable.csv', index_col=0)\n", | |
| "Lumi = 923#1040 " | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 3, | |
| "metadata": { | |
| "collapsed": false | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "xsec = [3.0429E-002, 1.1327E+002, 1.2404E-001, 2.0504E+002, 5.7727E+003] # hardcoded from MCSamples.cfg" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "### Get Data\n", | |
| "Load all data and background samples using glob" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 4, | |
| "metadata": { | |
| "collapsed": false | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "# -- get data \n", | |
| "data_files = glob.glob('MxAOD/*data*/*.root')" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 5, | |
| "metadata": { | |
| "collapsed": false | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "# -- get MC backgrounds\n", | |
| "bkg1 = glob.glob('MxAOD/*LO_yybb*/*.root')\n", | |
| "bkg2 = glob.glob('MxAOD/*LO_ybbj*/*.root')\n", | |
| "bkg3 = glob.glob('MxAOD/*LO_yybj*/*.root')\n", | |
| "bkg4 = glob.glob('MxAOD/*LO_ybjj*/*.root')\n", | |
| "bkg5 = glob.glob('MxAOD/*LO_yjjj*/*.root')\n", | |
| "#etc...\n", | |
| "#bkg_files = glob.glob('*epetit*.root') # temporary, just for debugging --> to be erase" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "### Get Histograms\n", | |
| "Load all background histograms using glob to then eventually get the Nevents generated.\n", | |
| "However, we might have to use the numbers contained in `MCSamples.cfg` instead (??)." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 6, | |
| "metadata": { | |
| "collapsed": false | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "# -- get data histograms\n", | |
| "# data_hists = glob.glob('hists/hists/*data*/*.root') # not needed for normalization" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 7, | |
| "metadata": { | |
| "collapsed": false | |
| }, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "['hists/hists/user.mpaganin.mc15_13TeV.341061.A14NNPDF23LO_yybb.merge.DAOD_HIGG1D1.e3939_a766_a768_r6282_p2421.10_13_hist/user.mpaganin.6682132._000001.hist-output.root',\n", | |
| " 'hists/hists/user.mpaganin.mc15_13TeV.341062.A14NNPDF23LO_ybbj.merge.DAOD_HIGG1D1.e4292_a766_a777_p2419.10_13_hist/user.mpaganin.6682165._000001.hist-output.root',\n", | |
| " 'hists/hists/user.mpaganin.mc15_13TeV.341063.A14NNPDF23LO_yybj.merge.DAOD_HIGG1D1.e4292_a766_a777_p2419.10_13_hist/user.mpaganin.6682201._000001.hist-output.root',\n", | |
| " 'hists/hists/user.mpaganin.mc15_13TeV.341064.A14NNPDF23LO_ybjj.merge.DAOD_HIGG1D1.e4292_a766_a777_p2419.10_13_hist/user.mpaganin.6682235._000001.hist-output.root',\n", | |
| " 'hists/hists/user.mpaganin.mc15_13TeV.341066.A14NNPDF23LO_yjjj.merge.DAOD_HIGG1D1.e4292_a766_a777_p2419.10_13_hist/user.mpaganin.6682289._000001.hist-output.root']" | |
| ] | |
| }, | |
| "execution_count": 7, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "# -- get MC background histograms\n", | |
| "bkg1_hists = glob.glob('hists/hists/*LO_yybb*/*.root')\n", | |
| "bkg2_hists = glob.glob('hists/hists/*LO_ybbj*/*.root')\n", | |
| "bkg3_hists = glob.glob('hists/hists/*LO_yybj*/*.root')\n", | |
| "bkg4_hists = glob.glob('hists/hists/*LO_ybjj*/*.root')\n", | |
| "bkg5_hists = glob.glob('hists/hists/*LO_yjjj*/*.root')\n", | |
| "bkg_hists = glob.glob('hists/hists/*LO_y*/*.root') # all backgrounds\n", | |
| "bkg_hists" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 8, | |
| "metadata": { | |
| "collapsed": false | |
| }, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "[591000.0, 93450.0, 419739.0, 87039.0, 83589.0]" | |
| ] | |
| }, | |
| "execution_count": 8, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "Nevents = []\n", | |
| "for fname in bkg_hists:\n", | |
| " file = root_open(fname, 'read') # open files in reading mode\n", | |
| " hist = file.Get('EventLoop_EventCount') \n", | |
| " Nevents.append(hist.GetEntries())\n", | |
| "#Nevents = [197000, 200000, 196000, 195000, 198000] # numbers from MCSamples.cfg\n", | |
| "Nevents" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 9, | |
| "metadata": { | |
| "collapsed": false | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "# [MxAOD index, hist index]\n", | |
| "#match_list = [[j,i] for i in range(0,len(data_hists)) for j in range(0,len(data_files)) \n", | |
| "# if (data_hists[i].replace('hists/hists/', '').replace('.10_13_hist','').replace('.hist-output.root', '') \n", | |
| "# == data_files[j].replace('MxAOD/','').replace('.10_13_MxAOD.root','').replace('.MxAOD.root',''))] \n", | |
| "#match_list" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "### Convert to records" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 10, | |
| "metadata": { | |
| "collapsed": false | |
| }, | |
| "outputs": [ | |
| { | |
| "name": "stderr", | |
| "output_type": "stream", | |
| "text": [ | |
| "WARNING:ROOT.TClass.TClass:no dictionary for class xAOD::EventFormat_v1 is available\n", | |
| "WARNING:ROOT.TClass.TClass:no dictionary for class xAOD::AuxContainerBase is available\n", | |
| "WARNING:ROOT.TClass.TClass:no dictionary for class xAOD::AuxInfoBase is available\n", | |
| "WARNING:ROOT.TClass.TClass:no dictionary for class xAOD::EventInfo_v1 is available\n", | |
| "WARNING:ROOT.TClass.TClass:no dictionary for class SG::AuxElement is available\n", | |
| "WARNING:ROOT.TClass.TClass:no dictionary for class SG::IAuxElement is available\n", | |
| "WARNING:ROOT.TClass.TClass:no dictionary for class xAOD::Photon_v1 is available\n", | |
| "WARNING:ROOT.TClass.TClass:no dictionary for class xAOD::Jet_v1 is available\n", | |
| "WARNING:ROOT.TClass.TClass:no dictionary for class xAOD::Muon_v1 is available\n", | |
| "WARNING:ROOT.TClass.TClass:no dictionary for class SG::IAuxStore is available\n", | |
| "WARNING:ROOT.TClass.TClass:no dictionary for class SG::IConstAuxStore is available\n", | |
| "WARNING:ROOT.TClass.TClass:no dictionary for class SG::IAuxStoreIO is available\n", | |
| "WARNING:ROOT.TClass.TClass:no dictionary for class SG::IAuxStoreHolder is available\n", | |
| "WARNING:ROOT.TClass.TClass:no dictionary for class xAOD::Egamma_v1 is available\n", | |
| "WARNING:ROOT.TClass.TClass:no dictionary for class xAOD::IParticle is available\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotons' of branch 'HGamPhotons' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotonsAux.' of branch 'HGamPhotonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets' of branch 'HGamAntiKt4EMTopoJets' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJetsAux.' of branch 'HGamAntiKt4EMTopoJetsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTag' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTag' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectrons' of branch 'HGamElectrons' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectronsAux.' of branch 'HGamElectronsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuons' of branch 'HGamMuons' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuonsAux.' of branch 'HGamMuonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfo' of branch 'HGamEventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfoAux.' of branch 'HGamEventInfoAux.' with type 'xAOD::AuxInfoBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'EventInfo' of branch 'EventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotons' of branch 'HGamPhotons' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotonsAux.' of branch 'HGamPhotonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets' of branch 'HGamAntiKt4EMTopoJets' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJetsAux.' of branch 'HGamAntiKt4EMTopoJetsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTag' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTag' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectrons' of branch 'HGamElectrons' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectronsAux.' of branch 'HGamElectronsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuons' of branch 'HGamMuons' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuonsAux.' of branch 'HGamMuonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfo' of branch 'HGamEventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfoAux.' of branch 'HGamEventInfoAux.' with type 'xAOD::AuxInfoBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'EventInfo' of branch 'EventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
| " weight_name)\n", | |
| "WARNING:ROOT.TClass.TClass:no dictionary for class xAOD::Electron_v1 is available\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotons' of branch 'HGamPhotons' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotonsAux.' of branch 'HGamPhotonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets' of branch 'HGamAntiKt4EMTopoJets' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJetsAux.' of branch 'HGamAntiKt4EMTopoJetsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTag' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTag' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectrons' of branch 'HGamElectrons' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectronsAux.' of branch 'HGamElectronsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuons' of branch 'HGamMuons' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuonsAux.' of branch 'HGamMuonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfo' of branch 'HGamEventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfoAux.' of branch 'HGamEventInfoAux.' with type 'xAOD::AuxInfoBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'EventInfo' of branch 'EventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotons' of branch 'HGamPhotons' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotonsAux.' of branch 'HGamPhotonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets' of branch 'HGamAntiKt4EMTopoJets' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJetsAux.' of branch 'HGamAntiKt4EMTopoJetsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTag' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTag' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectrons' of branch 'HGamElectrons' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectronsAux.' of branch 'HGamElectronsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuons' of branch 'HGamMuons' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuonsAux.' of branch 'HGamMuonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfo' of branch 'HGamEventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfoAux.' of branch 'HGamEventInfoAux.' with type 'xAOD::AuxInfoBase' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'EventInfo' of branch 'EventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotons' of branch 'HGamPhotons' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotonsAux.' of branch 'HGamPhotonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets' of branch 'HGamAntiKt4EMTopoJets' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJetsAux.' of branch 'HGamAntiKt4EMTopoJetsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTag' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTag' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectrons' of branch 'HGamElectrons' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectronsAux.' of branch 'HGamElectronsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuons' of branch 'HGamMuons' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuonsAux.' of branch 'HGamMuonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfo' of branch 'HGamEventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfoAux.' of branch 'HGamEventInfoAux.' with type 'xAOD::AuxInfoBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'EventInfo' of branch 'EventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotons' of branch 'HGamPhotons' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotonsAux.' of branch 'HGamPhotonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets' of branch 'HGamAntiKt4EMTopoJets' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJetsAux.' of branch 'HGamAntiKt4EMTopoJetsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTag' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTag' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectrons' of branch 'HGamElectrons' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectronsAux.' of branch 'HGamElectronsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuons' of branch 'HGamMuons' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuonsAux.' of branch 'HGamMuonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfo' of branch 'HGamEventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfoAux.' of branch 'HGamEventInfoAux.' with type 'xAOD::AuxInfoBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'EventInfo' of branch 'EventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotons' of branch 'HGamPhotons' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotonsAux.' of branch 'HGamPhotonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets' of branch 'HGamAntiKt4EMTopoJets' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJetsAux.' of branch 'HGamAntiKt4EMTopoJetsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTag' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTag' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectrons' of branch 'HGamElectrons' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectronsAux.' of branch 'HGamElectronsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuons' of branch 'HGamMuons' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuonsAux.' of branch 'HGamMuonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfo' of branch 'HGamEventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfoAux.' of branch 'HGamEventInfoAux.' with type 'xAOD::AuxInfoBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'EventInfo' of branch 'EventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotons' of branch 'HGamPhotons' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotonsAux.' of branch 'HGamPhotonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets' of branch 'HGamAntiKt4EMTopoJets' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJetsAux.' of branch 'HGamAntiKt4EMTopoJetsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTag' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTag' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectrons' of branch 'HGamElectrons' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectronsAux.' of branch 'HGamElectronsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuons' of branch 'HGamMuons' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuonsAux.' of branch 'HGamMuonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfo' of branch 'HGamEventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfoAux.' of branch 'HGamEventInfoAux.' with type 'xAOD::AuxInfoBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'EventInfo' of branch 'EventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotons' of branch 'HGamPhotons' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotonsAux.' of branch 'HGamPhotonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets' of branch 'HGamAntiKt4EMTopoJets' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJetsAux.' of branch 'HGamAntiKt4EMTopoJetsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTag' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTag' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectrons' of branch 'HGamElectrons' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectronsAux.' of branch 'HGamElectronsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuons' of branch 'HGamMuons' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuonsAux.' of branch 'HGamMuonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfo' of branch 'HGamEventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfoAux.' of branch 'HGamEventInfoAux.' with type 'xAOD::AuxInfoBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'EventInfo' of branch 'EventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotons' of branch 'HGamPhotons' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotonsAux.' of branch 'HGamPhotonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets' of branch 'HGamAntiKt4EMTopoJets' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJetsAux.' of branch 'HGamAntiKt4EMTopoJetsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTag' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTag' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectrons' of branch 'HGamElectrons' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectronsAux.' of branch 'HGamElectronsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuons' of branch 'HGamMuons' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuonsAux.' of branch 'HGamMuonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfo' of branch 'HGamEventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfoAux.' of branch 'HGamEventInfoAux.' with type 'xAOD::AuxInfoBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'EventInfo' of branch 'EventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotons' of branch 'HGamPhotons' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotonsAux.' of branch 'HGamPhotonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets' of branch 'HGamAntiKt4EMTopoJets' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJetsAux.' of branch 'HGamAntiKt4EMTopoJetsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTag' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTag' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectrons' of branch 'HGamElectrons' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectronsAux.' of branch 'HGamElectronsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuons' of branch 'HGamMuons' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuonsAux.' of branch 'HGamMuonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfo' of branch 'HGamEventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfoAux.' of branch 'HGamEventInfoAux.' with type 'xAOD::AuxInfoBase' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'EventInfo' of branch 'EventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotons' of branch 'HGamPhotons' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotonsAux.' of branch 'HGamPhotonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets' of branch 'HGamAntiKt4EMTopoJets' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJetsAux.' of branch 'HGamAntiKt4EMTopoJetsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTag' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTag' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectrons' of branch 'HGamElectrons' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectronsAux.' of branch 'HGamElectronsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuons' of branch 'HGamMuons' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuonsAux.' of branch 'HGamMuonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfo' of branch 'HGamEventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfoAux.' of branch 'HGamEventInfoAux.' with type 'xAOD::AuxInfoBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'EventInfo' of branch 'EventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotons' of branch 'HGamPhotons' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotonsAux.' of branch 'HGamPhotonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets' of branch 'HGamAntiKt4EMTopoJets' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJetsAux.' of branch 'HGamAntiKt4EMTopoJetsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTag' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTag' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectrons' of branch 'HGamElectrons' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectronsAux.' of branch 'HGamElectronsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuons' of branch 'HGamMuons' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuonsAux.' of branch 'HGamMuonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfo' of branch 'HGamEventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfoAux.' of branch 'HGamEventInfoAux.' with type 'xAOD::AuxInfoBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'EventInfo' of branch 'EventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotons' of branch 'HGamPhotons' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotonsAux.' of branch 'HGamPhotonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets' of branch 'HGamAntiKt4EMTopoJets' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJetsAux.' of branch 'HGamAntiKt4EMTopoJetsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTag' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTag' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectrons' of branch 'HGamElectrons' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectronsAux.' of branch 'HGamElectronsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuons' of branch 'HGamMuons' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuonsAux.' of branch 'HGamMuonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfo' of branch 'HGamEventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfoAux.' of branch 'HGamEventInfoAux.' with type 'xAOD::AuxInfoBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'EventInfo' of branch 'EventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotons' of branch 'HGamPhotons' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotonsAux.' of branch 'HGamPhotonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets' of branch 'HGamAntiKt4EMTopoJets' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJetsAux.' of branch 'HGamAntiKt4EMTopoJetsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTag' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTag' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectrons' of branch 'HGamElectrons' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectronsAux.' of branch 'HGamElectronsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuons' of branch 'HGamMuons' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuonsAux.' of branch 'HGamMuonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfo' of branch 'HGamEventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfoAux.' of branch 'HGamEventInfoAux.' with type 'xAOD::AuxInfoBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'EventInfo' of branch 'EventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotons' of branch 'HGamPhotons' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotonsAux.' of branch 'HGamPhotonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets' of branch 'HGamAntiKt4EMTopoJets' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJetsAux.' of branch 'HGamAntiKt4EMTopoJetsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTag' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTag' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectrons' of branch 'HGamElectrons' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectronsAux.' of branch 'HGamElectronsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuons' of branch 'HGamMuons' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuonsAux.' of branch 'HGamMuonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfo' of branch 'HGamEventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfoAux.' of branch 'HGamEventInfoAux.' with type 'xAOD::AuxInfoBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'EventInfo' of branch 'EventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotons' of branch 'HGamPhotons' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotonsAux.' of branch 'HGamPhotonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets' of branch 'HGamAntiKt4EMTopoJets' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJetsAux.' of branch 'HGamAntiKt4EMTopoJetsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTag' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTag' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectrons' of branch 'HGamElectrons' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectronsAux.' of branch 'HGamElectronsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuons' of branch 'HGamMuons' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuonsAux.' of branch 'HGamMuonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfo' of branch 'HGamEventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfoAux.' of branch 'HGamEventInfoAux.' with type 'xAOD::AuxInfoBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'EventInfo' of branch 'EventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotons' of branch 'HGamPhotons' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotonsAux.' of branch 'HGamPhotonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets' of branch 'HGamAntiKt4EMTopoJets' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJetsAux.' of branch 'HGamAntiKt4EMTopoJetsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTag' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTag' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectrons' of branch 'HGamElectrons' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectronsAux.' of branch 'HGamElectronsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuons' of branch 'HGamMuons' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuonsAux.' of branch 'HGamMuonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfo' of branch 'HGamEventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfoAux.' of branch 'HGamEventInfoAux.' with type 'xAOD::AuxInfoBase' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'EventInfo' of branch 'EventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotons' of branch 'HGamPhotons' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotonsAux.' of branch 'HGamPhotonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets' of branch 'HGamAntiKt4EMTopoJets' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJetsAux.' of branch 'HGamAntiKt4EMTopoJetsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTag' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTag' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectrons' of branch 'HGamElectrons' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectronsAux.' of branch 'HGamElectronsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuons' of branch 'HGamMuons' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuonsAux.' of branch 'HGamMuonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfo' of branch 'HGamEventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfoAux.' of branch 'HGamEventInfoAux.' with type 'xAOD::AuxInfoBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'EventInfo' of branch 'EventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotons' of branch 'HGamPhotons' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotonsAux.' of branch 'HGamPhotonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets' of branch 'HGamAntiKt4EMTopoJets' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJetsAux.' of branch 'HGamAntiKt4EMTopoJetsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTag' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTag' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectrons' of branch 'HGamElectrons' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectronsAux.' of branch 'HGamElectronsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuons' of branch 'HGamMuons' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuonsAux.' of branch 'HGamMuonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfo' of branch 'HGamEventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfoAux.' of branch 'HGamEventInfoAux.' with type 'xAOD::AuxInfoBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'EventInfo' of branch 'EventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotons' of branch 'HGamPhotons' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotonsAux.' of branch 'HGamPhotonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets' of branch 'HGamAntiKt4EMTopoJets' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJetsAux.' of branch 'HGamAntiKt4EMTopoJetsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTag' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTag' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectrons' of branch 'HGamElectrons' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectronsAux.' of branch 'HGamElectronsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuons' of branch 'HGamMuons' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuonsAux.' of branch 'HGamMuonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfo' of branch 'HGamEventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfoAux.' of branch 'HGamEventInfoAux.' with type 'xAOD::AuxInfoBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'EventInfo' of branch 'EventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotons' of branch 'HGamPhotons' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotonsAux.' of branch 'HGamPhotonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets' of branch 'HGamAntiKt4EMTopoJets' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJetsAux.' of branch 'HGamAntiKt4EMTopoJetsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTag' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTag' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectrons' of branch 'HGamElectrons' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectronsAux.' of branch 'HGamElectronsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuons' of branch 'HGamMuons' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuonsAux.' of branch 'HGamMuonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfo' of branch 'HGamEventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfoAux.' of branch 'HGamEventInfoAux.' with type 'xAOD::AuxInfoBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'EventInfo' of branch 'EventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotons' of branch 'HGamPhotons' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotonsAux.' of branch 'HGamPhotonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets' of branch 'HGamAntiKt4EMTopoJets' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJetsAux.' of branch 'HGamAntiKt4EMTopoJetsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTag' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTag' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectrons' of branch 'HGamElectrons' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectronsAux.' of branch 'HGamElectronsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuons' of branch 'HGamMuons' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuonsAux.' of branch 'HGamMuonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfo' of branch 'HGamEventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfoAux.' of branch 'HGamEventInfoAux.' with type 'xAOD::AuxInfoBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'EventInfo' of branch 'EventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotons' of branch 'HGamPhotons' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotonsAux.' of branch 'HGamPhotonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets' of branch 'HGamAntiKt4EMTopoJets' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJetsAux.' of branch 'HGamAntiKt4EMTopoJetsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTag' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTag' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectrons' of branch 'HGamElectrons' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectronsAux.' of branch 'HGamElectronsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuons' of branch 'HGamMuons' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuonsAux.' of branch 'HGamMuonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfo' of branch 'HGamEventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfoAux.' of branch 'HGamEventInfoAux.' with type 'xAOD::AuxInfoBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'EventInfo' of branch 'EventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotons' of branch 'HGamPhotons' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotonsAux.' of branch 'HGamPhotonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets' of branch 'HGamAntiKt4EMTopoJets' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJetsAux.' of branch 'HGamAntiKt4EMTopoJetsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTag' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTag' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectrons' of branch 'HGamElectrons' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectronsAux.' of branch 'HGamElectronsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuons' of branch 'HGamMuons' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuonsAux.' of branch 'HGamMuonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfo' of branch 'HGamEventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfoAux.' of branch 'HGamEventInfoAux.' with type 'xAOD::AuxInfoBase' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'EventInfo' of branch 'EventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotons' of branch 'HGamPhotons' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotonsAux.' of branch 'HGamPhotonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets' of branch 'HGamAntiKt4EMTopoJets' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJetsAux.' of branch 'HGamAntiKt4EMTopoJetsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTag' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTag' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectrons' of branch 'HGamElectrons' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectronsAux.' of branch 'HGamElectronsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuons' of branch 'HGamMuons' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuonsAux.' of branch 'HGamMuonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfo' of branch 'HGamEventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfoAux.' of branch 'HGamEventInfoAux.' with type 'xAOD::AuxInfoBase' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'EventInfo' of branch 'EventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotons' of branch 'HGamPhotons' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotonsAux.' of branch 'HGamPhotonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets' of branch 'HGamAntiKt4EMTopoJets' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJetsAux.' of branch 'HGamAntiKt4EMTopoJetsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTag' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTag' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectrons' of branch 'HGamElectrons' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectronsAux.' of branch 'HGamElectronsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuons' of branch 'HGamMuons' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuonsAux.' of branch 'HGamMuonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfo' of branch 'HGamEventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfoAux.' of branch 'HGamEventInfoAux.' with type 'xAOD::AuxInfoBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'EventInfo' of branch 'EventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotons' of branch 'HGamPhotons' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotonsAux.' of branch 'HGamPhotonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets' of branch 'HGamAntiKt4EMTopoJets' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJetsAux.' of branch 'HGamAntiKt4EMTopoJetsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTag' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTag' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectrons' of branch 'HGamElectrons' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectronsAux.' of branch 'HGamElectronsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuons' of branch 'HGamMuons' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuonsAux.' of branch 'HGamMuonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfo' of branch 'HGamEventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfoAux.' of branch 'HGamEventInfoAux.' with type 'xAOD::AuxInfoBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'EventInfo' of branch 'EventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotons' of branch 'HGamPhotons' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotonsAux.' of branch 'HGamPhotonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets' of branch 'HGamAntiKt4EMTopoJets' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJetsAux.' of branch 'HGamAntiKt4EMTopoJetsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTag' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTag' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectrons' of branch 'HGamElectrons' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectronsAux.' of branch 'HGamElectronsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuons' of branch 'HGamMuons' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuonsAux.' of branch 'HGamMuonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfo' of branch 'HGamEventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfoAux.' of branch 'HGamEventInfoAux.' with type 'xAOD::AuxInfoBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'EventInfo' of branch 'EventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotons' of branch 'HGamPhotons' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotonsAux.' of branch 'HGamPhotonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets' of branch 'HGamAntiKt4EMTopoJets' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJetsAux.' of branch 'HGamAntiKt4EMTopoJetsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTag' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTag' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectrons' of branch 'HGamElectrons' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectronsAux.' of branch 'HGamElectronsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuons' of branch 'HGamMuons' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuonsAux.' of branch 'HGamMuonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfo' of branch 'HGamEventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfoAux.' of branch 'HGamEventInfoAux.' with type 'xAOD::AuxInfoBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'EventInfo' of branch 'EventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotons' of branch 'HGamPhotons' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotonsAux.' of branch 'HGamPhotonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets' of branch 'HGamAntiKt4EMTopoJets' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJetsAux.' of branch 'HGamAntiKt4EMTopoJetsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTag' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTag' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectrons' of branch 'HGamElectrons' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectronsAux.' of branch 'HGamElectronsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuons' of branch 'HGamMuons' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuonsAux.' of branch 'HGamMuonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfo' of branch 'HGamEventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfoAux.' of branch 'HGamEventInfoAux.' with type 'xAOD::AuxInfoBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'EventInfo' of branch 'EventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotons' of branch 'HGamPhotons' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotonsAux.' of branch 'HGamPhotonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets' of branch 'HGamAntiKt4EMTopoJets' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJetsAux.' of branch 'HGamAntiKt4EMTopoJetsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTag' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTag' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectrons' of branch 'HGamElectrons' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectronsAux.' of branch 'HGamElectronsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuons' of branch 'HGamMuons' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuonsAux.' of branch 'HGamMuonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfo' of branch 'HGamEventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfoAux.' of branch 'HGamEventInfoAux.' with type 'xAOD::AuxInfoBase' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'EventInfo' of branch 'EventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotons' of branch 'HGamPhotons' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotonsAux.' of branch 'HGamPhotonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets' of branch 'HGamAntiKt4EMTopoJets' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJetsAux.' of branch 'HGamAntiKt4EMTopoJetsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTag' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTag' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectrons' of branch 'HGamElectrons' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectronsAux.' of branch 'HGamElectronsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuons' of branch 'HGamMuons' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuonsAux.' of branch 'HGamMuonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfo' of branch 'HGamEventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfoAux.' of branch 'HGamEventInfoAux.' with type 'xAOD::AuxInfoBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'EventInfo' of branch 'EventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotons' of branch 'HGamPhotons' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotonsAux.' of branch 'HGamPhotonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets' of branch 'HGamAntiKt4EMTopoJets' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJetsAux.' of branch 'HGamAntiKt4EMTopoJetsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTag' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTag' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectrons' of branch 'HGamElectrons' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectronsAux.' of branch 'HGamElectronsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuons' of branch 'HGamMuons' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuonsAux.' of branch 'HGamMuonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfo' of branch 'HGamEventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfoAux.' of branch 'HGamEventInfoAux.' with type 'xAOD::AuxInfoBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'EventInfo' of branch 'EventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotons' of branch 'HGamPhotons' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotonsAux.' of branch 'HGamPhotonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets' of branch 'HGamAntiKt4EMTopoJets' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJetsAux.' of branch 'HGamAntiKt4EMTopoJetsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTag' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTag' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectrons' of branch 'HGamElectrons' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectronsAux.' of branch 'HGamElectronsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuons' of branch 'HGamMuons' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuonsAux.' of branch 'HGamMuonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfo' of branch 'HGamEventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfoAux.' of branch 'HGamEventInfoAux.' with type 'xAOD::AuxInfoBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'EventInfo' of branch 'EventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotons' of branch 'HGamPhotons' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotonsAux.' of branch 'HGamPhotonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets' of branch 'HGamAntiKt4EMTopoJets' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJetsAux.' of branch 'HGamAntiKt4EMTopoJetsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTag' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTag' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectrons' of branch 'HGamElectrons' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectronsAux.' of branch 'HGamElectronsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuons' of branch 'HGamMuons' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuonsAux.' of branch 'HGamMuonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfo' of branch 'HGamEventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfoAux.' of branch 'HGamEventInfoAux.' with type 'xAOD::AuxInfoBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'EventInfo' of branch 'EventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotons' of branch 'HGamPhotons' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotonsAux.' of branch 'HGamPhotonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets' of branch 'HGamAntiKt4EMTopoJets' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJetsAux.' of branch 'HGamAntiKt4EMTopoJetsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTag' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTag' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectrons' of branch 'HGamElectrons' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectronsAux.' of branch 'HGamElectronsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuons' of branch 'HGamMuons' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuonsAux.' of branch 'HGamMuonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfo' of branch 'HGamEventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfoAux.' of branch 'HGamEventInfoAux.' with type 'xAOD::AuxInfoBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'EventInfo' of branch 'EventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotons' of branch 'HGamPhotons' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotonsAux.' of branch 'HGamPhotonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets' of branch 'HGamAntiKt4EMTopoJets' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJetsAux.' of branch 'HGamAntiKt4EMTopoJetsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTag' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTag' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectrons' of branch 'HGamElectrons' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectronsAux.' of branch 'HGamElectronsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuons' of branch 'HGamMuons' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuonsAux.' of branch 'HGamMuonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfo' of branch 'HGamEventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfoAux.' of branch 'HGamEventInfoAux.' with type 'xAOD::AuxInfoBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'EventInfo' of branch 'EventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotons' of branch 'HGamPhotons' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotonsAux.' of branch 'HGamPhotonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets' of branch 'HGamAntiKt4EMTopoJets' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJetsAux.' of branch 'HGamAntiKt4EMTopoJetsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTag' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTag' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectrons' of branch 'HGamElectrons' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectronsAux.' of branch 'HGamElectronsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuons' of branch 'HGamMuons' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuonsAux.' of branch 'HGamMuonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfo' of branch 'HGamEventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfoAux.' of branch 'HGamEventInfoAux.' with type 'xAOD::AuxInfoBase' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'EventInfo' of branch 'EventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotons' of branch 'HGamPhotons' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotonsAux.' of branch 'HGamPhotonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets' of branch 'HGamAntiKt4EMTopoJets' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJetsAux.' of branch 'HGamAntiKt4EMTopoJetsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTag' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTag' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectrons' of branch 'HGamElectrons' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectronsAux.' of branch 'HGamElectronsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuons' of branch 'HGamMuons' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuonsAux.' of branch 'HGamMuonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfo' of branch 'HGamEventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfoAux.' of branch 'HGamEventInfoAux.' with type 'xAOD::AuxInfoBase' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'EventInfo' of branch 'EventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotons' of branch 'HGamPhotons' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotonsAux.' of branch 'HGamPhotonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets' of branch 'HGamAntiKt4EMTopoJets' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJetsAux.' of branch 'HGamAntiKt4EMTopoJetsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTag' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTag' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectrons' of branch 'HGamElectrons' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectronsAux.' of branch 'HGamElectronsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuons' of branch 'HGamMuons' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuonsAux.' of branch 'HGamMuonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfo' of branch 'HGamEventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfoAux.' of branch 'HGamEventInfoAux.' with type 'xAOD::AuxInfoBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'EventInfo' of branch 'EventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotons' of branch 'HGamPhotons' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotonsAux.' of branch 'HGamPhotonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets' of branch 'HGamAntiKt4EMTopoJets' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJetsAux.' of branch 'HGamAntiKt4EMTopoJetsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTag' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTag' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectrons' of branch 'HGamElectrons' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectronsAux.' of branch 'HGamElectronsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuons' of branch 'HGamMuons' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuonsAux.' of branch 'HGamMuonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfo' of branch 'HGamEventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfoAux.' of branch 'HGamEventInfoAux.' with type 'xAOD::AuxInfoBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'EventInfo' of branch 'EventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotons' of branch 'HGamPhotons' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotonsAux.' of branch 'HGamPhotonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets' of branch 'HGamAntiKt4EMTopoJets' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJetsAux.' of branch 'HGamAntiKt4EMTopoJetsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTag' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTag' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectrons' of branch 'HGamElectrons' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectronsAux.' of branch 'HGamElectronsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuons' of branch 'HGamMuons' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuonsAux.' of branch 'HGamMuonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfo' of branch 'HGamEventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfoAux.' of branch 'HGamEventInfoAux.' with type 'xAOD::AuxInfoBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'EventInfo' of branch 'EventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotons' of branch 'HGamPhotons' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotonsAux.' of branch 'HGamPhotonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets' of branch 'HGamAntiKt4EMTopoJets' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJetsAux.' of branch 'HGamAntiKt4EMTopoJetsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTag' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTag' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectrons' of branch 'HGamElectrons' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectronsAux.' of branch 'HGamElectronsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuons' of branch 'HGamMuons' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuonsAux.' of branch 'HGamMuonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfo' of branch 'HGamEventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfoAux.' of branch 'HGamEventInfoAux.' with type 'xAOD::AuxInfoBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'EventInfo' of branch 'EventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotons' of branch 'HGamPhotons' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotonsAux.' of branch 'HGamPhotonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets' of branch 'HGamAntiKt4EMTopoJets' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJetsAux.' of branch 'HGamAntiKt4EMTopoJetsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTag' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTag' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectrons' of branch 'HGamElectrons' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectronsAux.' of branch 'HGamElectronsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuons' of branch 'HGamMuons' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuonsAux.' of branch 'HGamMuonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfo' of branch 'HGamEventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfoAux.' of branch 'HGamEventInfoAux.' with type 'xAOD::AuxInfoBase' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'EventInfo' of branch 'EventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotons' of branch 'HGamPhotons' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotonsAux.' of branch 'HGamPhotonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets' of branch 'HGamAntiKt4EMTopoJets' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJetsAux.' of branch 'HGamAntiKt4EMTopoJetsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTag' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTag' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectrons' of branch 'HGamElectrons' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectronsAux.' of branch 'HGamElectronsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuons' of branch 'HGamMuons' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuonsAux.' of branch 'HGamMuonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfo' of branch 'HGamEventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfoAux.' of branch 'HGamEventInfoAux.' with type 'xAOD::AuxInfoBase' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'EventInfo' of branch 'EventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotons' of branch 'HGamPhotons' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotonsAux.' of branch 'HGamPhotonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets' of branch 'HGamAntiKt4EMTopoJets' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJetsAux.' of branch 'HGamAntiKt4EMTopoJetsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTag' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTag' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectrons' of branch 'HGamElectrons' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectronsAux.' of branch 'HGamElectronsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuons' of branch 'HGamMuons' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuonsAux.' of branch 'HGamMuonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfo' of branch 'HGamEventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfoAux.' of branch 'HGamEventInfoAux.' with type 'xAOD::AuxInfoBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'EventInfo' of branch 'EventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotons' of branch 'HGamPhotons' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotonsAux.' of branch 'HGamPhotonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets' of branch 'HGamAntiKt4EMTopoJets' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJetsAux.' of branch 'HGamAntiKt4EMTopoJetsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTag' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTag' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectrons' of branch 'HGamElectrons' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectronsAux.' of branch 'HGamElectronsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuons' of branch 'HGamMuons' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuonsAux.' of branch 'HGamMuonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfo' of branch 'HGamEventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfoAux.' of branch 'HGamEventInfoAux.' with type 'xAOD::AuxInfoBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'EventInfo' of branch 'EventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotons' of branch 'HGamPhotons' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotonsAux.' of branch 'HGamPhotonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets' of branch 'HGamAntiKt4EMTopoJets' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJetsAux.' of branch 'HGamAntiKt4EMTopoJetsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTag' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTag' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectrons' of branch 'HGamElectrons' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectronsAux.' of branch 'HGamElectronsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuons' of branch 'HGamMuons' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuonsAux.' of branch 'HGamMuonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfo' of branch 'HGamEventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfoAux.' of branch 'HGamEventInfoAux.' with type 'xAOD::AuxInfoBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'EventInfo' of branch 'EventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotons' of branch 'HGamPhotons' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotonsAux.' of branch 'HGamPhotonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets' of branch 'HGamAntiKt4EMTopoJets' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJetsAux.' of branch 'HGamAntiKt4EMTopoJetsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTag' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTag' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectrons' of branch 'HGamElectrons' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectronsAux.' of branch 'HGamElectronsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuons' of branch 'HGamMuons' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuonsAux.' of branch 'HGamMuonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfo' of branch 'HGamEventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfoAux.' of branch 'HGamEventInfoAux.' with type 'xAOD::AuxInfoBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'EventInfo' of branch 'EventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotons' of branch 'HGamPhotons' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotonsAux.' of branch 'HGamPhotonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets' of branch 'HGamAntiKt4EMTopoJets' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJetsAux.' of branch 'HGamAntiKt4EMTopoJetsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTag' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTag' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectrons' of branch 'HGamElectrons' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectronsAux.' of branch 'HGamElectronsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuons' of branch 'HGamMuons' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuonsAux.' of branch 'HGamMuonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfo' of branch 'HGamEventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfoAux.' of branch 'HGamEventInfoAux.' with type 'xAOD::AuxInfoBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'EventInfo' of branch 'EventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotons' of branch 'HGamPhotons' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotonsAux.' of branch 'HGamPhotonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets' of branch 'HGamAntiKt4EMTopoJets' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJetsAux.' of branch 'HGamAntiKt4EMTopoJetsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTag' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTag' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectrons' of branch 'HGamElectrons' with type '' (skipping)\n", | |
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| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectronsAux.' of branch 'HGamElectronsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuons' of branch 'HGamMuons' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuonsAux.' of branch 'HGamMuonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfo' of branch 'HGamEventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfoAux.' of branch 'HGamEventInfoAux.' with type 'xAOD::AuxInfoBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'EventInfo' of branch 'EventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotons' of branch 'HGamPhotons' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotonsAux.' of branch 'HGamPhotonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets' of branch 'HGamAntiKt4EMTopoJets' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJetsAux.' of branch 'HGamAntiKt4EMTopoJetsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTag' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTag' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectrons' of branch 'HGamElectrons' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectronsAux.' of branch 'HGamElectronsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuons' of branch 'HGamMuons' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuonsAux.' of branch 'HGamMuonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfo' of branch 'HGamEventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfoAux.' of branch 'HGamEventInfoAux.' with type 'xAOD::AuxInfoBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'EventInfo' of branch 'EventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotons' of branch 'HGamPhotons' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotonsAux.' of branch 'HGamPhotonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets' of branch 'HGamAntiKt4EMTopoJets' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJetsAux.' of branch 'HGamAntiKt4EMTopoJetsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTag' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTag' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectrons' of branch 'HGamElectrons' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectronsAux.' of branch 'HGamElectronsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuons' of branch 'HGamMuons' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuonsAux.' of branch 'HGamMuonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfo' of branch 'HGamEventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfoAux.' of branch 'HGamEventInfoAux.' with type 'xAOD::AuxInfoBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'EventInfo' of branch 'EventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotons' of branch 'HGamPhotons' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotonsAux.' of branch 'HGamPhotonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets' of branch 'HGamAntiKt4EMTopoJets' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJetsAux.' of branch 'HGamAntiKt4EMTopoJetsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTag' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTag' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectrons' of branch 'HGamElectrons' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectronsAux.' of branch 'HGamElectronsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuons' of branch 'HGamMuons' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuonsAux.' of branch 'HGamMuonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfo' of branch 'HGamEventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfoAux.' of branch 'HGamEventInfoAux.' with type 'xAOD::AuxInfoBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'EventInfo' of branch 'EventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotons' of branch 'HGamPhotons' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamPhotonsAux.' of branch 'HGamPhotonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets' of branch 'HGamAntiKt4EMTopoJets' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJetsAux.' of branch 'HGamAntiKt4EMTopoJetsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTag' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTag' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' of branch 'HGamAntiKt4EMTopoJets_AllSelAnyTagAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectrons' of branch 'HGamElectrons' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamElectronsAux.' of branch 'HGamElectronsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuons' of branch 'HGamMuons' with type '' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamMuonsAux.' of branch 'HGamMuonsAux.' with type 'xAOD::AuxContainerBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfo' of branch 'HGamEventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'HGamEventInfoAux.' of branch 'HGamEventInfoAux.' with type 'xAOD::AuxInfoBase' (skipping)\n", | |
| " weight_name)\n", | |
| "/usr/local/lib/python2.7/site-packages/root_numpy/_tree.py:205: RootNumpyUnconvertibleWarning: cannot convert leaf 'EventInfo' of branch 'EventInfo' with type 'xAOD::EventInfo_v1' (skipping)\n", | |
| " weight_name)\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "# -- convert to records\n", | |
| "data_ss = stack_arrays([root2rec(fpath, 'CollectionTree') for fpath in data_files])\n", | |
| "bkg1_ss = stack_arrays([root2rec(fpath1, 'CollectionTree') for fpath1 in bkg1])\n", | |
| "bkg2_ss = stack_arrays([root2rec(fpath2, 'CollectionTree') for fpath2 in bkg2])\n", | |
| "bkg3_ss = stack_arrays([root2rec(fpath3, 'CollectionTree') for fpath3 in bkg3])\n", | |
| "bkg4_ss = stack_arrays([root2rec(fpath4, 'CollectionTree') for fpath4 in bkg4])\n", | |
| "bkg5_ss = stack_arrays([root2rec(fpath5, 'CollectionTree') for fpath5 in bkg5])\n", | |
| "#etc...\n", | |
| "#bkg_ss = stack_arrays([root2rec(fpath, 'CollectionTree') for fpath in bkg_files])" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "### Create Panda dataframes" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 11, | |
| "metadata": { | |
| "collapsed": false | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "# -- create Panda dataframes\n", | |
| "data_df = pd.DataFrame(data_ss.data)\n", | |
| "bkg1_df = pd.DataFrame(bkg1_ss)\n", | |
| "bkg2_df = pd.DataFrame(bkg2_ss)\n", | |
| "bkg3_df = pd.DataFrame(bkg3_ss)\n", | |
| "bkg4_df = pd.DataFrame(bkg4_ss)\n", | |
| "bkg5_df = pd.DataFrame(bkg5_ss)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "Small util function to avoid problems with branches that are arrays" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 12, | |
| "metadata": { | |
| "collapsed": false | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "def prepare(column):\n", | |
| " try:\n", | |
| " return np.array([v for e in column for v in e])\n", | |
| " except (TypeError, ValueError):\n", | |
| " return column" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "## Plotting" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 13, | |
| "metadata": { | |
| "collapsed": false | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "data_df['Njets'] = [len(data_df['HGamAntiKt4EMTopoJetsAuxDyn.pt'][i]) for i in range(0,len(data_df['HGamAntiKt4EMTopoJetsAuxDyn.pt']))]\n", | |
| "bkg1_df['Njets'] = [len(bkg1_df['HGamAntiKt4EMTopoJetsAuxDyn.pt'][i]) for i in range(0,len(bkg1_df['HGamAntiKt4EMTopoJetsAuxDyn.pt']))]\n", | |
| "bkg2_df['Njets'] = [len(bkg2_df['HGamAntiKt4EMTopoJetsAuxDyn.pt'][i]) for i in range(0,len(bkg2_df['HGamAntiKt4EMTopoJetsAuxDyn.pt']))]\n", | |
| "bkg3_df['Njets'] = [len(bkg3_df['HGamAntiKt4EMTopoJetsAuxDyn.pt'][i]) for i in range(0,len(bkg3_df['HGamAntiKt4EMTopoJetsAuxDyn.pt']))]\n", | |
| "bkg4_df['Njets'] = [len(bkg4_df['HGamAntiKt4EMTopoJetsAuxDyn.pt'][i]) for i in range(0,len(bkg4_df['HGamAntiKt4EMTopoJetsAuxDyn.pt']))]\n", | |
| "bkg5_df['Njets'] = [len(bkg5_df['HGamAntiKt4EMTopoJetsAuxDyn.pt'][i]) for i in range(0,len(bkg5_df['HGamAntiKt4EMTopoJetsAuxDyn.pt']))]\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 18, | |
| "metadata": { | |
| "collapsed": false | |
| }, | |
| "outputs": [ | |
| { | |
| "name": "stderr", | |
| "output_type": "stream", | |
| "text": [ | |
| "INFO:rootpy.plotting.style:using matplotlib style 'ATLAS'\n" | |
| ] | |
| }, | |
| { | |
| "data": { | |
| "image/png": 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IsGjRImzbtg3jx49HdHR0lcW4LBiGwcuXL9G7d2/Ex8dDWVkZABAQEAALCwts3rwZK1eu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afyNRoMBjp69KjqnDlz5pAQgpYtW6aUyQnyrFmzNGMXFxfT8+fPNeVff/01CSEoMTGRiIhKSkqU\n5FdOXl/3Nkn206dPqUGDBmRtbU2pqalUWlpKffr0ISEExcXFafqpSJJNRFS/fn2SJImSkpKUstat\nW5OVlRU9ffpU1VZOyst/qJQT444dO9KzZ8+U8vz8fGratCmZmZnRo0eP3hhH+b48PT0pOztbKS8o\nKKCuXbuSEIK2bNmiOkcIQX5+fhXqnzH24eAkm7FPgJy4/tNRPmkZOHAgCSFo3bp1mj6zs7M1iXpU\nVFSFY/L39ycrKysqKSlRyuQku3HjxqrElIgoIyODhBBkY2OjSdxLS0vJYDBQ7969VeVyQuft7a3E\nGBoaSt7e3iSEoJo1a9Lp06eV9nICvGDBAk28SUlJJISgiIgIpSwlJYWEEOTj46N7jT169CAhBCUn\nJ2vG0Euy7927R0IIcnd3V82LLCgoiIQQtHnzZs01BgUFadrL8zlixAilTE6y586dqxtzeXl5eWRr\na0uOjo5UUFCglH/zzTckhKDY2FjNOW+TZBO9mk9zc3Py8vJSPiDoXRdRxZPsLl26kBCCdu3apZSt\nWbOGhBC0fPlyVdvZs2frJrlyYnzkyBFN//LfU+8bAD1yXwkJCZq6Y8eO6SbUnGQz9nHiNdmMfSKE\nECgrKzN5lP/x2D959uwZYmJisHjxYsTExCAmJkZ3nejBgwfh7+8PV1dXWFhYKGtKDxw4gKKiImRl\nZWnO8fb21uym4OrqCgBo3rw5atasqaqTJAkuLi64f/++bqypqalKjGvWrEF2djaMRiPOnTuHzp07\na9p37NhRU1a/fn3lumXyGunevXvrjitvu3bp0iXd+vIuXrwIAOjRowfMzMw09fI4ev1VNGZfX1+4\nublh6dKlGDhwIFavXo0LFy6grKxMN6bt27cjLy8PX375JSwtLZXyCRMmAHi1Vruq+Pj4IDo6Gunp\n6Vi6dCmaN2+OtWvXvlOf9P8fmL5+PwUFBcHGxgbr169XyoqLixEXFwcnJyeMHDlS048QosJzXBG9\nevXSlPn4+ECSpArfL4yxDxsn2Ywxk+rWrQvg1R7Z5bm7u6OsrAylpaUoKytDvXr1NInxqlWr4O/v\nj5MnT8LX1xdhYWFYtGgRoqKi0LZtWxARCgsLNX3b29tryszNzU3WyfWmfoA2YcIE5cNEYWEhbt++\njbi4OHh5eem2d3BwMDl+aWmpUibvFS1/AChPLs/OztatL++f+pP/Hnr9VTRmW1tbnDp1CsHBwTh/\n/jxCQ0PRsWNH1K1bF1FRUSgpKVH1ISei48ePV5W3atUK7du3x8WLF3H+/PkKXV9FDBs2TLmPQkJC\nUKNGjXfqT/6xau3atZUyGxsbjBs3DtevX1d+MLt//348fvwY48ePh4WFhW5fdnZ2mjK9Of4nQgjU\nqVNHt69atWohNze3wn0xxj5cnGQzxkzq3r07AODIkSOVPrekpARRUVFwdXXF1atXkZiYiO+//x6L\nFi3CwoUL4eLiUtXhvndywv/o0SPd+ocPH6rave/+THFzc8PGjRvx5MkTXLlyBatXr4azs7PytF92\n+fJlZfeVrl27al7sIz/Jf/2JMABlRwy9p+Nv+sBRUFCA0aNHQwgBR0dHREdH4/r16299nTdu3EBm\nZiYMBgM6dOigqpN3l1m3bp3yrxACkyZNeuvxKoqI8PjxY015SUkJsrKydJN5xtjHh5NsxphJgYGB\ncHBwwIkTJyq9l3RWVhZycnLQrVs3zVO7vLw8XLhw4aN/wUb79u0BAElJSbr1crncDoCyDETvyafc\nLiUlRbder7931bJlS0yfPh2//fYbAGDfvn1KnZw8+/n5ISQkRHNMnDgR1tbWSExMRH5+vnKeo6Mj\niEj37aHnzp0zGcusWbNw+fJlzJ07F9u3b8eLFy8watQoFBUVvdW1yR8Y/P39NUuMWrVqhe7du2Pv\n3r04ffo0Dh8+jJ49e763/bT1tpxMSUlBWVkZ2rVrpyoXQlTqSTlj7MPASTZjzCQ7OzusXLkSADBy\n5EgcPHhQt92LFy80SzVcXFxQo0YNnDt3TpWAFRcXY+bMmXj69Om/F/h74uPjA09PT6SkpGDPnj2q\nut27dyMlJQWenp7KNwIA4OzsDAC4e/eupj83Nzf069cPt2/fVuZddvr0aWzbtg1OTk4YNmzYW8f8\n559/6j5FlZ+ey8szXr58ia1bt8Lc3Bxbt27F+vXrNceGDRsQEBCAvLw8JCYmKn3Jb9Asv177yJEj\nqnav27NnD9auXYvu3bsjOjoa/fr1Q2RkJFJTUxEWFmbyekjnpT65ubmYMWMGEhIS4OjoiKVLl+qe\nO3XqVBQVFSn7c0+ePNnkOJWVkZGBtLQ0vHz5Urd+8eLFqqf6BQUFmDNnDoBXL0p6nbOz8wf7oifG\nmGn8xkfGmEIvYTEajSgsLMSMGTPg7++PFi1aoFu3bnBxcUFeXh7u37+PQ4cOIT8/X/VjLvmFHkuX\nLkXr1q0xZMgQFBUVISkpCdnZ2fDz8zP5BPhjEh8fj379+mHUqFEYOnQoPD09kZ6ejp9//hl2dnbY\nvHmzqn3v3r0hSRLmzJmDP/74A46OjhBCYN68eQCAtWvXwsfHBxERETh06BA6dOiAe/fuYdeuXTA3\nN8emTZs0T2Ur49ChQ4iIiEC3bt3QrFkz5Qej+/btg5mZGSIiIgAAO3bsQE5ODoYMGaKsBdcTEhKC\nhIQErF+/HiEhIQBeJYk//PADvvvuO6SmpqJFixa4fv06fv31VwwfPlzzgeTOnTsICQmBk5MTtm3b\npnzD8e233yI5ORmxsbHo06cPhg8frjqPiLBy5UrY29uDiJCbm4v09HQkJyfjxYsX8PT0REJCApo2\nbaobe0BAAFxcXJCZmYnatWtr+i8/VmUYjUYkJycjKSlJ90eOLVu2xGeffYbAwECYm5tj3759uHXr\nFgYPHoxx48ap2vbt2xfbt2/HkCFD0K5dOxgMBvTq1Qs9evSoVEyMsfes2vY1YYy9NxV5GY27u/sb\nt0S7f/8+zZs3j7p06UJOTk5kMBjIwcGBvL29acqUKapt6mQlJSW0YsUKatmyJVlbW5OrqysZjUbK\nyMigCRMmaMaTt5wz9XKPN21l5u7uTh4eHqqyuLi4Sr0sJCoqiiRJ0t1e702xpaenU1BQELm6upLB\nYKB69epRUFAQXb9+XXechIQE8vb2Jmtra92/TWZmJk2ZMoUaNWpEFhYWVLt2bRo2bBidO3dO01dc\nXBxJkqS7JR6Rds6uXbtGs2bNoo4dO1Lt2rXJ0tKSPDw8aMSIEXTy5EmlnY+PD0mSRL/88ov+ZL3G\n09OTJElSvVzo6tWr9Pnnn5OtrS3Z2NiQn58fJScna+ItLi6mLl26kCRJtHfvXk3fd+/eJUdHR3Jy\nclLdK/L9Km8/aTAYyNnZmdq0aUNGo5H27NlDxcXF/xh7WFgYCSEoMjLSZBtfX1+T/39Mzb98Tvl7\nSd7esKioiObPn08eHh5kaWlJTZo0oZiYGCoqKtKM8eTJExozZgzVqVOHzMzMSJIk1QuMGGMfJkFU\nyY/njDHG2H9Ez549ceLECaSnp6NJkyb/+ni+vr74/fffeY01Y58AXpPNGGPsk3T69GmkpKRgwIAB\n7yXBZox9WnhNNmOMsU9KbGwsMjMzsWnTJpiZmem+ROnfxF8gM/Zp4CSbMcbYJ2XZsmW4f/8+mjRp\nguXLl+u+yfHfIoT46LeuZIxVDK/JZowxxhhjrIrxmmzGGGOMMcaqGCfZjDHGGGOMVTFOshljjDHG\nGKtinGQzxhhjjDFWxTjJZowxxhhjrIpxks0YY4wxxlgV+x9PuD8kdJP94wAAAABJRU5ErkJggg==\n", | |
| "text/plain": [ | |
| "<matplotlib.figure.Figure at 0x11c8f90d0>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| }, | |
| { | |
| "data": { | |
| "image/png": 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iiy9w48YNfPLJJwpF1RdffAEnJyfMmDED/fr1Q6tWrRRyCAsLw+bNmzF16tRScy0sLMTM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| |
| "text/plain": [ | |
| "<matplotlib.figure.Figure at 0x121925d50>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| }, | |
| { | |
| "data": { | |
| "image/png": 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9evVgYmJSqecgIqpKPj4+MDAwgKWlpbZT0SkikQghISGwtrZGREQECgsLkZeX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| |
| "text/plain": [ | |
| "<matplotlib.figure.Figure at 0x121944490>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| }, | |
| { | |
| "data": { | |
| "image/png": 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7N/r374+RI0cCAO7evYuFCxeicePGuHz5svRL1MqVKzFq1Cjs3bu3yKS5qPd/x44d2LFj\nB7744gvs2rVL+t4AgJ+fH/z8/LB582ZMnz4dALBt2zbk5+cjNjYW5ubmMn1lZmZK/zs6Ohp3797F\nt99+i7Vr18rE5eXl4e3bt8W8mwQArVu3RteuXZGYmIiLFy/C0dFR7j2nqsGZZiKqVd69e4dvv/1W\n+rxLly4YPXq0NMGTSEpKkntt4VpmANJZU0UKJ82ffPKJtLa4ssY2duxYNG7cWKbt+vXr2LJlC4YP\nHw5DQ0MsWLBAZravLFxdXSEWi2VKME6fPg17e3sIhUKYmZnBwMBAZjb6w9KM9+/fIzw8HA0bNsTK\nlStl+m/Tpg2mT5+O9+/fIywsTO78nTt3LjFhfvfuHb788ktpkvbLL7+UO2GWEAgE2LBhg0xS2Lhx\nYwwaNAhZWVlyM/4lOXjwoPRGQC8vL7Rt2xYpKSlo06YNvvnmG5lYQ0NDmV8dJEJDQwEAq1atkibM\nQEH50OrVqwEAP/74o7R99+7dEIlEmDZtmtyvDqtWrZIrzSisqPc/ICAAampqCA0NlXlvAGDRokXQ\n09NTeONZ/fr15do+vEegqDhVVVXplzQqnrW1NQ4fPowHDx5wlrkacaaZiGqVdevW4a+//gJQkAD9\n8MMPAAAdHR0YGhoiPT0dgOLa4cuXL8s8L2qm+d27d7h+/XqJcRU5Nj09PVy8eBFz5szB0aNHkZOT\nI3P87du3WLVqFdTU1Mq1zqqzszPCw8MRExODYcOG4ebNm0hPT4eT0787mDk6OiIyMlL6PCYmBgKB\nQJo0//nnn8jJyUGPHj3wySefKDzH999/r/DLQUk3MWZnZ8PZ2RmJiYnw9/fH7Nmzy3qpCjVq1Aif\nffaZXLtkpr+0K14cPnwYhw8fBlCQ5LZq1QoeHh6YN2+etPRCwsLCQuHKI5cvX4aKiorMTL6Eg4MD\nhEKhzHt55coVAECPHj3k4o2MjNCiRYsia78Vvf/Z2dm4evUqGjdujHXr1il8Xb169WRKKcaMGYOD\nBw/C2toaw4cPh6OjI+zs7NC8eXOZ1zk6OqJZs2ZYtWoVLl++jL59+6JHjx6wtLQsNrknWWZmZhCJ\nRDA2NsagQYOqezgfLSbNRFRrPHr0CMuXL5c+HzBgAHr27Cl93r59+2IT08IzzfXr14eZmZnC81y9\nehV5eXnS58qUZpR3bEBB4rZ3717k5OQgPj4eZ86cwf79+2XWh96xY0e5kuYPbwYsXM8s0bNnT+zb\ntw9XrlxB8+bN8ccff6B58+bS3cQkNdmffvqpwnMYGhoCgMK1iiXHivLq1StcuXIF2tra6N27d2ku\nTSmKknwA0pKM0s7k79ixQ2b1jOIUde1ZWVnQ09NTWBaiqqoKfX19PH36VCYeAJo0aaKwvyZNmhSZ\nNCsag+SLwpMnT4qt6y5c8jF06FAcO3YMa9euRWhoqHSFhy5dumDlypVwdXUFADRs2BCJiYnw9fXF\nkSNHcOrUKQCAvr4+vL29sWjRonKVw3wsmjZtCgCYNm0a11muRvyaR0S1xuzZs5GdnS19fvToUZnN\nJQqXHCQnJ8usOiASiWSSVXNzc6ioqCg8T1luAizP2D6koaEBV1dXLFu2DDdu3JCZGS3v2r8tWrTA\nZ599hjt37uDhw4eIiYmBjo6OzJJ6kgQ6OjpaOu7Cq2ZIZlAlXwI+JFlq78OZVqDkjRWaNGmC48eP\nIzc3F05OTnIlNbVZUdfeqFEjZGZmKkzY8/Ly8PTpU5l6dsl/S1Zb+VBR7UWNQfI5WVlZQSwWF/n4\ncHz9+vVDdHQ0Xrx4gejoaHz77be4ceMGBgwYIDMr3axZM/z444/IyMjA9evXsWHDBujp6WHp0qUV\ndvNlXSeZlR88eHA1j+Tjxq93RFQrxMXF4eeff1Y6/u3bt0hJSZHWE6ekpMiUPJTmJsCSyjPKO7Yl\nS5agY8eOGDJkiNys28OHD5GRkSF9Xtr1ohVxdXXF1q1bERUVhdjYWLmygLZt28LQ0BAxMTHS1SoK\nJ83t2rWDhoYGrl69iqysLLnkWJJoF1czXhwnJyecPHkS/fv3h6urK06cOFHkToZ1gZWVFaKjo3Hm\nzBmZGX+g4M+WWCyWeS+trKxw6NAhnD17Vu6zu3//PtLS0kp1fi0tLZiZmeH69et4/vw5dHR0SvV6\nDQ0NODk5wcnJCTo6OvDx8cGJEyfkavkBoEOHDujQoQOGDBkCIyMjHD58uNyJs9b3TiUH1XKS1XgU\nfdGX3ExZuBZd2TYqHSbNRFTjiUQi6V37QMFPvqNHj5aLy8rKwp49ewAUrJRw9epV6T/cZb0JMD8/\nH19++aXczLBAIICXlxc8PT3LPbbt27cjLS0Nurq6cHJykialqamp2L9/v3RXQ4FAgIULFxY5bmU5\nOztj69atWL9+PV68eCFTzyzh5OSEI0eOwMDAQKaeGQDU1NQwZswYbNu2DYsXL8aGDRukx/766y9s\n2LAB9erVU7hUmrJ69OiByMhI9OnTB71798axY8fg4OBQ5v5qsvHjxyM6Ohrz589HbGwsNDQ0ABTU\nGs+bNw8AMGHCBGn8qFGjsHTpUmzcuBHjxo2T1hHn5+dj/vz5EIvFpf4Jf9asWZgwYQLGjx+PHTt2\nyH0Rev78Oe7duyf90hYXFwc7Ozu5JE7y60ODBg0AFPyqoqenJ1dKIokrfONjWVTVJjbVTdE62RJ3\n7twBAJmbQpVto9Jh0kxENV5wcLDM+sq+vr6YNWuWXNz79++xb98+6c/IV69exYgRIwAofxNgTk4O\nkpOTZdqKKhHQ19dHUFBQucaWkZEhnRnMzMzEgQMHFJ5LU1MTmzdvrpA6X8ls5h9//CHzvDAnJyfs\n2bMHqampaNeunVz98qpVq3D27Fls2rQJFy5cgKOjI54+fYp9+/bhzZs32LRpk9xyc6X1+eefIyYm\nBr169UK/fv1w6NAhaa1sXTJy5EgcPnwY+/btg5mZGQYPHgyBQIBDhw7h3r17GDFihHS5OQD47LPP\nsHTpUixYsAAWFhYYPnw4tLW1ERkZiefPn8PCwkL62Spr3LhxuHTpErZs2YLWrVvDzc0NLVq0QGZm\nJlJTU3H27FmMHz8eW7ZsAQBMnz4df//9N+zs7NCyZUvUq1cPly5dwunTp9GqVSvp37uIiAjMmTMH\n3bt3h4mJCQwMDPDw4UMcPnwYKioqmDNnTsW9kXWYZKa5sGvXriEsLAzbt2+HpqYm3NzclG6jsmFN\nMxHVaM+ePYOPjw8EAgEEAgE6dOhQ5JJL9erVg6mpqTS2cA3z5cuXpe316tUrcp3TK1euSGfqSno0\nb9683GPT09NDbGwsfHx84OzsjLZt20JXVxdqamrQ1dWFjY0NFi9ejD///FO601x56evrSzd2ady4\nscIbIiWzzx/OMkvo6OggISEBc+fOxbNnz7B+/XocOHAANjY2OHnyJKZMmVLqcSmaHbW0tERsbCwa\nNmyIQYMGyayBXVw/ivoqbva1qNdUVHxJ9uzZg82bN0NPTw9bt27F1q1boaenh82bN2P37t1y8fPm\nzUNYWBhatmyJ7du3Y/v27TAzM0N8fDxyc3PLtKb3pk2bcPToUdja2iIqKgrr16/HsWPH8OrVK8yd\nOxczZ86Uxi5cuBCurq64ceMGQkJCEBwcjCdPnmDhwoW4cOGCdKa6T58+mD59OrKzs3HkyBGsW7cO\nv/32G9zc3HD27Fl88cUXZX/TPiLm5uZwdnaWWX3lypUrCAoKgomJCU6cOCFdt1uZNiobQX4t/G1D\nIBDUqZ9kxo7yQPfXzTDGouL3kfc5vRWNB3SS/sRHRER118uXL9GkSRNYWVkhPj6+uodDpJTaktdx\nppmIiKiWefr0qdxP9nl5efjuu+/w7t07DB06tJpGRlR3saaZiIioltm/fz98fHzQq1cvNG/eHJmZ\nmYiLi8Pt27fRuXNnTJs2rbqHSFTnMGkmIiKqZWxsbGBvb4+4uDg8e/YMAoEAxsbGWLRoEf7zn/9w\nWTGiSsCkmYiIqJaxtLQscqUVIqocrGkmIiIiIipBiUnzkiVLZLaCVfTYtWuXzGtu3LiBIUOGQFdX\nF1paWrCxscH+/fuLPEdaWho8PDxgYGAATU1NWFhYSPexJyIiIiKqbiWWZzg5OUn3PC9MLBZj5cqV\nEIvFMgvjJyUlwd7eHmKxGCNGjIC+vj4OHDiAr776Chs3bsTUqVNl+klLS4O1tTUyMjIwbNgwtGrV\nCidPnoSXlxfu3LmDNWvWVMBlEhERERGVXZnXaT59+jRcXFzQt29fHD9+XNpua2uLCxcuICIiQppM\nv379GtbW1rh37x7++usvGBoaSuNHjhyJn3/+GaGhofD09ARQsGyOm5sbYmNjcenSJVhaWsoOupas\n56csrtNMREREH6vakteVuaZ5x44dAAq23pRITk7G+fPn4eLiIjP7rKWlhQULFiAnJ0dmZ6OsrCwc\nOHAApqam0oQZAFRVVbF06VLk5+cjNDS0rEMkIiIiIqoQZUqaX79+jQMHDkBXVxeDBw+WtsfFxQEA\nevXqJfcaV1dXmRgASEhIQF5envRYYTY2NtDU1JSJJyIiIqJ/xcbGQigUws/Pr8zxpe3jY1WmJef2\n7duH7OxsjB8/XmYf9Dt37gAA2rRpI/eaJk2aoEGDBtKYkuJVVFRgbGwsE09EREQkIRAIqnsIRarq\ncoPSvheK4mvy+1kTlClpVlSaARTseQ8A2traCl+nra2NrKysUsXn5ORAJBJBRUWlLEMlIiKiOux1\n6vjqHoIcLeOaW1pqbW2NlJQU6OvrF9tG8kqdNP/111/47bff0KlTJ3Tu3LkyxkRERERElUBDQwOm\npqYltpG8Utc0FzXLDPw7YyyZQf7Qy5cv0ahRo1LFa2hocJaZiIiIqARRUVHo3r07GjRoAENDQ3h7\ne8v8wg+wprk8SjXTnJ+fj7CwMNSrVw9jxoyRO25iYgIAuH37ttyxx48f482bNzL1y8XFi0QipKam\nKqx3Bgo2XSktR0dHODo6lvp1REREVLLMzEwIhUJ88skn1T2Uj058fDxWrFiBIUOGwMnJCXFxcQgK\nCsLFixcRHx8vcw8aUDk1zbGxsYiNjS1XHzVZqZLmmJgYpKWlYejQodDT05M77uDgAACIjIzEnDlz\nZI5FRkbKxAAFazqrqakhOjparq+EhARkZ2fLxBdWlqSZiIiIKt67d++wYcMGrFy5EocOHSry325S\nXmpqKmxtbTF06FAEBASgXr16AICUlBSMGDECc+bMwejRo6XxkZGR2Llzp0zbxIkTERoaisDAQEyf\nPr3Sx1zWycnaMsNdqvKM7du3A1BcmgEA7du3h42NDaKjo2US4VevXmHFihXQ1NTEqFGjpO3a2tpw\nd3fHrVu3pH0DQG5uLnx8fCAUCjFhwoRSXRARERFVrR9++AFXr16FqmqZ1hcgBTIzM2FlZYXg4GDM\nmDFD2h4QEIBbt26hTx/ZDdHat28vkzADBcmoiooKwsPDq2TMdZ3Sf7pfvnyJgwcPwtDQEP369Ssy\nLjAwED169MDAgQMxYsQI6Onp4eDBg0hNTcXGjRtldgMEAH9/f8TGxmLSpEk4deqUdBvta9euYfbs\n2bCwsCj71REREVGlmz17NtTV1WFsbFzdQ6kzunTpguPHj2PgwIEICQmBr68v1NXVERYWhlGjRsn9\n4m9nZyfXR7NmzWBkZIQ//vijqoZdpymdNO/btw9v377F1KlTIRQWPUFtYWGBxMRELFq0CIcOHcK7\nd+9gbm6O1atXw93dXS6+efPmOH/+PBYsWIBTp07h1atXMDU1RWBgICZPnly2qyIiIqIqo66uXt1D\nqJMEAgECAgJgamqK8PBwiMVi5OTkyMw8SzRu3FhhHwYGBrh37x5yc3Pl6pqpdJROmidOnIiJEycq\nFWtmZoaDBw8qPYgWLVpg586dSscTEVHdkpmZiVWrViElJQWTJk3CwIEDq3tIRDVC69at0bVrVyQm\nJuLixYtwdHSEubm5XNyTJ08Uvj4jIwP16tVjwlwByrSNNhFRTSQUCsv04LKW1ev169ewt7dH06ZN\nkZ2djdDQmrsxBFF1sLa2xuHDh/HgwQOFs8xAweoZH3r48CHu37+PTp06VfYQPwpMmomozvD09IRY\nLC71QyTrmKaEAAAgAElEQVQSVffQP2qrVq1Cbm4uZs6cCW9vbwQEBFT3kOj/S0tLQ+PGjYt8KPsL\nNJWPmZkZRCIRjI2NMWjQIIUxKSkpcjf8+fr6QiwWy90gSGXD21yJqE64fft2keu6V5eMjAzo6upy\nRYFi5OXlYevWrZg0aRIA4Isvvih3n2/evMGjR4+qZYez2vSZi0QiXL9+vdgb7lu0aFHkz/5UdZo2\nbQoAmDZtWpFrKbu6umLixIk4evQoWrdujbi4OJw7dw7dunWDt7d3VQ63zqr5f6uJiJSwc+fOGnPz\n8MOHD7F69WqEhIQgJSUFRkZGcjGnTp3C8uXLce3aNWhoaMDNzQ0rV67Ep59+CgBYuHAhVq5cqdT5\nOnXqhKSkpBLjbt68CTMzMzg4OBS7AcHw4cPxyy+/IDY2ttLX201MTMTTp0/Ru3dvAAVr8C9duhRH\njx5F//79y9Rn48aNMXz4cJmlTCubMp95ca9duHAhoqKi8OrVK/To0QPr1q1Du3btinzNixcv0LVr\nV3h4eMDX17fY/l+9eoWpU6fi6NGj0NHRwfDhw7Fo0SIMGzYMN2/eRGpqqtJjrYm0jOt+OY9kAYbB\ngwcXGWNnZ4e5c+di8eLFOHbsGLS0tDBlyhSsWrWqVnyJqw34LhJRrScSifDw4UM0a9asuoeCRYsW\n4YcffgBQsOa8Ij///DNGjhwJW1tb+Pn54dGjR9i0aROuXLmCK1euQCgUomfPnnJLSm3ZsgV3797F\nihUrpBsdAICmpqZSY2vfvj169+6NiIgIJCcno0OHDnIx6enpOHjwIDp37lwlG1ScPn0a6urqsLW1\nlWkvz85kb9++lXt9UlISdHR00LJlyzL3WxRlPvOiPHjwALa2thCLxfDy8oKGhgY2b96M7t27IzEx\nUeFseX5+PsaMGYO7d+8q9T4tWLAAu3fvxpw5c6Cqqopt27ZhwoQJyM7OLvcOcNUtPz+/uodQJSR/\nrhTdf+Ho6AixWCx97uLiUmxfb9++BSC74omiNpLHpJmIar2IiAi4ublV9zAAFNSA7t69G9euXcPS\npUvljr979w6zZs1Cv379cPToUWnS0rBhQ/j6+iI5ORkdO3ZE7969pbOvEkeOHEFqaiqmT5+udKL8\noRkzZiAiIgKbN2/G5s2b5Y5v27YNeXl5Rd5sVNHOnDkDa2trmS8BFe3GjRtwdnbGoUOHKiVpLukz\nL8706dORlZWFK1euwMTEBAAwevRomJubw8vLS+GOuUuWLMH//vc/pc9x5MgR9O7dW/rLxbJly0o1\nxtKo7bPWNdX79+8rrK87d+4AgMwkg6I2kscbAYmo1sjNzcX9+/fl2g8dOoShQ4dWw4jk/fTTT8XW\n5aqrq+P333/Hjh07ZGb5nj17BhUVFbnZ5YrWt29fmJqaYufOnXj16pXMMZFIhK1bt6JJkyYYOXJk\npY4DKPg8ExMTK31G+8KFC3jx4kWlzUqW9JkX5e+//8aRI0cwdOhQacIMFNSvjh07FqdPn8bNmzdl\nXnPs2DF8//338PLyUvo8aWlpaNKkSanHRzVHaX/BUESyaZyvry80NTXh5uamsI2KxqSZiGqFx48f\nw9nZGd99951M+7Nnz9CgQQOFM5WPHj3CF198AR0dHejo6GDYsGFIS0sr9jyvX79W+pGTk1Oma2nW\nrBn09fUBFNQZL1y4EJs2bcLChQulNc1ltWvXLlhZWUFDQwMtW7bEtGnT5JLj6dOn4/Xr1wgLC5Np\nP3LkCB49eoQpU6YUuaZrcnIyDAwM8M0335RrnABw6dIlZGdno2fPnmXu49y5c3B2doaWlhaaN2+O\nuXPnyhz38/PD+PHjAQBOTk4QCoU4cuSIXD9V8bl/KCEhAQAwZMgQuWPDhg0DAMTExEjb7ty5gzFj\nxsDd3V3uOhXx9PSU1sL+9NNPEAqFcjv2iUQibN68GWZmZtDU1ES7du2wadOmMl8TVQ5zc3M4OzuX\na63lK1euICgoCCYmJjhx4gQaN26My5cvy7VR0VieQUS1QlZWFvz8/NC/f388f/4cOjo6AAqSxKKW\nUxozZgzu3LmDZcuWITs7GyEhIVi5ciW2bNlS5Hm0tbWVHpOjo6NMUlNaa9euxZw5cwAAHTp0wLhx\n48rcF1CwdNuCBQvg7u6OCRMm4O+//8bmzZvx4MEDHD58WBo3duxYLFq0CFu2bMHUqVOl7Vu2bIG6\nunqxd9o/f/4cmZmZ+Ouvv8o1VqCgNENVVRXdu3cv0+tPnDiBwYMHo2XLlpg/fz7EYrFcwteqVSuM\nGzcO27dvx5w5c9C2bVtYWlrK9VWVn7vEgwcPAEBhyYikTfI+Z2dn44svvkCLFi2wY8cOZGRklNj/\nhAkTYG9vj0mTJsHOzg7jxo1Dw4YNZWLS0tKwePFiTJ06Fdra2vj5558xffp0pKen4/vvvy/vJVIF\n6dSpE6KiosrVx9ixYzF27FiZNk9PT3h6epar348Jk2YiqhVMTU1hamqKLl26YM+ePdLE7sKFC5g+\nfbrC11y6dAmenp7SWdEpU6bg119/LfY8v/32m9JjatSokdKxinz++efYt28foqKiEBoaim7duiEh\nIQGtW7cudV9paWnw8fHByJEjsW7dOmkpQn5+PlatWoW///5bumxVgwYNMGHCBKxduxaxsbFwdHTE\nrVu3EB0djbFjxxY722RnZ4dHjx5BV1e3bBddSFxcHLp27QoNDY1SvzYnJwfjxo1Du3btcO7cOWhp\naQEARo4cKXPz3NixY5Gfn4/t27ejf//+RZaCVOXnLiGZsZZ8ASxM8hm8efMGQEECnJaWhgsXLihd\nz25vby9Nmk1MTKQz7oUJhUJERESga9euAICZM2fC1tYWa9aswfTp02FgYFCmayOqi5g0E1Gt4unp\niW3btsHb2xuXL1+GlZVVkbH9+vVDcHAwtLS0MH36dBgaGpY4q1LWWc+ysLe3BwB8+eWXGDp0KPr1\n64clS5Zg586dpe7r1KlTyMvLw549e7Bnzx6ZYwKBAKmpqdKkGQC++eYb/Pe//8XmzZvh6OiIwMBA\nAFDqBsCKqI8Vi8X47bffSlWbW9iJEyeQkZGBLVu2SBNmAGVeq7sqP3cJSUKalZUld0ySUDds2BDr\n16/Hzz//jKCgIGhpaSE9PV26dvKrV6+Qnp4OdXV1hcl3SYyMjKQJMwCoqanBy8sLkyZNQmJiYpEb\naRB9jJg0E1Gt8tVXX2HGjBm4efMmdu3ahXnz5hUZu2PHDhgaGmL9+vVYu3Ytvv76a/j7+xebXLx4\n8ULpsaiqqsokbOXh5uaGdu3a4fLly2V6/ePHjwEAwcHBCn/u/3B5uZYtW2Lw4ME4fPgw7ty5gx07\ndsDBwUFh6UJlSEpKwqtXr8pcz3zr1i0ABTulVYTq+NwlKxXcvXtX7sufZDUDSTkGUPBLyZQpU2Ti\n1q5di7Vr12L+/PlYvnx5uccEQFpX/+7duwrpj6iuYNJMRLWKtrY2hgwZguDgYLx+/brYUgJ1dXX8\n97//xdy5c6W1zA8fPsSJEyeKfE1pyg4qqrZV4s2bN2jVqlWZXitZdcPAwEBuqbpdu3Yp/El/xowZ\n+PXXXzFo0CBkZWVh5syZZTp3WZw5cwZCoRA9evQo0+sltbnp6elo27attL2sW6JXx+dua2sLVVVV\nHD9+HF9++aXMsZMnTwIAevTogc8//1zuZs709HR4enpizJgxGDNmDGxsbMo9HokbN24AQLXsqEhU\nkzFpJqJax9PTE3379sXBgweLjRszZgx27dqFpk2bYuPGjbh//77CdW8Lq4ra1t9++00uWfzpp5/w\n4MEDzJo1q0x9uri4QCAQ4IcffkD//v2lO4AdOHAAHh4eUFFRwYgRI2ReY29vj86dO+PKlSswNjYu\ndrexwv755x/o6+uX607+uLg4WFpayt2YpixHR0cAwObNm2VmqyU3eRZeXk6ytF92dnaR/VXF5/7g\nwQOZnQI/+eQTfPHFF9i3bx8WLlwoLS35559/sH79enTp0gVdunRR2Ne9e/cAFJSjfPglqTQ+XIbv\n4cOHWLNmDaysrIrdXpvoY8SkmYhqHRcXF3Tu3LnEbZb37t2Lx48fY8CAAXj27BmioqJKnJGr7NrW\n27dvw8nJCV26dMGwYcOQn5+Pc+fO4fDhw3Bycip25Qqg6B3QTExMMHXqVGzatAm2trYYNmwY0tPT\nERQUhL59+8olzBIzZsyQ3iypzO5w8fHxcHBwQN++fXHs2LGSL7iIazh79iy+/vrrImN+/fVXJCcn\nKzxWv359fPPNN/Dw8MDOnTvRp08f9O3bF9evX5dunS3Z4QyAdJm11atXIzk5Genp6fD395fps7I/\n99WrV2P+/Pnw9/fH7Nmzpe3+/v6IioqCvb09vL29IRQKERQUhPfv3yM0tHK3h1ZVVcX9+/fh7u4O\nBwcHpKWlISQkBGpqamWqqyeq65g0E1GtIxQKpT/vF+fYsWNYvHgx5s2bB21tbXz11VfS7Y4rm0Ag\nUJiEmpiY4ODBg1i7di38/PyQm5sLExMTrFixAt999510hrg0fUps2LABrVu3RlBQEHx8fGBgYIAp\nU6ZgxYoVRb5m+PDh+P777zFx4kSlrktXVxf6+voyM6aldePGDWRmZiqsZ5Zc3/bt24v8gmBvb49v\nvvkGISEhaNasGcLCwhAbG4v27dtj9+7dWLRoEczNzaXxDg4O8PLyQnh4OJKTkyus9lfR2Iv6fD79\n9FM0bNhQbh1uIyMjnDt3DvPmzcP69eshFArRvXt3+Pv7o127dpUyTokff/wRfn5+iIiIwNGjR9G4\ncWO4u7vD19cXLVq0qNRzE9VGgvxauHG7QCCoU/vNjx3lge6vm2GMRZ8K79vn9FY0HtCp2JuliIiq\n0ubNmzF9+nQ8efKkQpauI6LarbbkddwRkIiIqlRcXBw6dOjAhJmoisTGxkIoFMLPz69S4j8WTJqJ\niKhKxcXFSW/kI6Kqo8x9C+WJr+tY00xERFXm6tWrePz4MYYMGVLdQ6E6oCYndbWh3KAo1tbWSElJ\ngb6+fnUPpUZh0kxERJVKJBJh586dcHd3x/79+2Fubg4XF5fqHhbVEd/cSa3uIcjZ1Ma4uodQLhoa\nGlynWwGWZxARUaX63//+hwkTJiA+Ph4//vgjAgICqntIRB+tqKgodO/eHQ0aNIChoSG8vb3ltnJn\nTbNiTJqJiKhSWVtbY+TIkdi1axd+/fVX1jMTVZP4+HgMGDAARkZGmDlzJkxMTBAUFIRevXohNzdX\nLr4ml79UBybNRERUqQwMDBAeHo6dO3fC1ta2uodDVCukpqbC0NAQXl5eeP/+vbQ9JSUFlpaW2LVr\nl1IxhUVGRiIkJAR79+7F8uXLcfbsWYwfPx4XL15EYGBglV1bbcWkmYiIiKiGyczMhJWVFYKDgzFj\nxgxpe0BAAG7duoU+ffooFVNY+/btMXr0aJk2Pz8/qKioIDw8vHIvqA5g0kxERERUw3Tp0gXHjx9H\nv379EBISgvT0dDx//hxhYWEYNWoU9PT0lIopzM7OTu48zZo1g5GREf7444+qurRai6tnEBEREdVA\nAoEAAQEBMDU1RXh4OMRiMXJycmRmlZWJkWjcuLHC8xgYGODevXvIzc2FmppapV1PbcekmYiIiKiG\nat26Nbp27YrExERcvHgRjo6OMDc3L3UMADx58kThOTIyMlCvXj0mzCVgeQYRERFRDWZtbY3Dhw/j\nwYMHCmeQlY2Jj4+Xa3v48CHu37+PTp06VeiY6yImzUREREQ1mJmZGUQiEYyNjTFo0KAyx6SkpMjd\n8Ofr6wuxWCx3gyDJY3kGERERUQ3WtGlTAMC0adOKXDtZmRhXV1dMnDgRR48eRevWrREXF4dz586h\nW7du8Pb2rpzB1yGcaSYiIiKqwYTCgnRt8ODB5Yqxs7PD8ePHkZaWhoCAANy+fRtTpkxBZGQkVFU5\nj1oSvkNERERUa21qY1zdQ6h0kt36VFRUyhTj6OgIsVgsfe7i4lLs+d6+fQsAUFdXL/VY6zImzURE\nRFQr5efnV/cQqkTh3f7KE6OsO3fuAChYw5n+xaSZiIiIqAaTzCKXN6Yk165dQ1hYGLZv3w5NTU24\nubmVu8+6hDXNRERERDWYubk5nJ2di11HWZmYkly5cgVBQUEwMTHBiRMnitwM5WPFmWYiIiKiGqxT\np06Iiooqd0xJxo4di7Fjx5arj7qMM81ERERERCVg0kxEREREVAKlk+b8/HyEhYXB3t4ejRo1QsOG\nDdGxY0dMnTpVLvbGjRsYMmQIdHV1oaWlBRsbG+zfv7/IvtPS0uDh4QEDAwNoamrCwsICwcHBZbsi\nIiIiIqIKplTSLBKJMHr0aHh6eiInJweTJk2Ct7c32rVrh19++UUmNikpCTY2NoiMjMTQoUMxdepU\nPH36FF999RU2b94s13daWhqsra2xZ88euLi4YMaMGRAKhfDy8sKcOXMq5irrmOVndlT3EIiIiIg+\nKkrdCLhmzRrs3bsXa9euxbfffitzrPBi2QDg5eWFnJwcREREwNnZGQCwePFiWFtbY+7cuXB3d4eh\noaE0fu7cuUhPT0doaCg8PT0BAMuWLYObmxvWrVuH0aNHw9LSsjzXWOesPPsTFvb0rO5hEBEREX00\nSpxpfvPmDVauXAknJye5hBn4d9tGAEhOTsb58+fh4uIiTZgBQEtLCwsWLEBOTg52794tbc/KysKB\nAwdgamoqTZgBQFVVFUuXLkV+fj5CQ0PLem1ERERERBWixKQ5IiICr169gru7O16+fImdO3di5cqV\nCAsLw5MnT2Ri4+LiAAC9evWS68fV1VUmBgASEhKQl5cnPVaYjY0NNDU1ZeKJiIiIiKpDieUZly5d\nAgBkZmaibdu2ePz4sfRYgwYNEBwcjFGjRgH4d9vFNm3ayPXTpEkTNGjQQBpTUryKigqMjY1l4omI\niIiIqkOJM81Pnz4FAPj5+eHzzz/Hn3/+iaysLOzduxdqamrw9PTE1atXAQAvX74EAGhrayvsS1tb\nG1lZWdLnysTn5ORAJBKV4pKIiIiIiCpWiUmz5EY/Q0ND7Nu3DyYmJmjYsCG++uorrFq1Cnl5edi4\ncWOlD5SIiIiIZMXGxkIoFMLPz69GxNdlJZZnNGrUCEBBTbK6urrMsYEDB2LKlCm4fPkygH9njCUz\nyB96+fIlWrZsKX2uTLyGhgZUVFTkji1ZsqSkoctxdHSEo6NjqV9HRERENY9AIKjuIRQpPz+/Ss9X\n2veiMuJjY2MRGxtbqn5rkxKT5rZt2wL4N3kuTJL05uTkAPi3Nvn27dtysY8fP8abN29k6pdNTEyK\njBeJREhNTVVY7wyULWkmIiKiuuXn+8urewhyhrdcWN1DqDDW1tZISUmBvr5+ibFlnZysLbPYJZZn\nSC4+OTlZ7tjNmzcBAEZGRgAABwcHAEBkZKRcrKRNEgMAtra2UFNTQ3R0tFx8QkICsrOzZeI/Ztm5\nb7E4eisG7y7Y8GXw7jlYHL0VObnvqnlkREREVFdpaGjA1NQUurq61T2Ualdi0tymTRs4OjoiOjpa\nZso9NzdXOtvr7u4OAOjQoQNsbGwQHR0tkwi/evUKK1asgKampnSlDaBgptrd3R23bt3C9u3bZfr2\n8fGBUCjEhAkTynuNtV527lsMDP8O6xP2IPruRQBA9N2LWJ+wBwPCZzFxJiIiIkRFRaF79+5o0KAB\nDA0N4e3tLbMAQ1niWdP8L6W20Q4MDMQnn3wCNzc3jBo1CrNmzULXrl3xv//9D87Ozpg4caJMrKam\nJgYOHIjx48djzpw56Ny5M/7880/4+/vL7AYIQNo2adIkjBgxAvPmzUO3bt0QGxuLWbNmwcLComKv\nuBZaGReG84/kZ/oB4PyjZCyP21G1AyIiIqIaJT4+HgMGDICRkRFmzpwJExMTBAUFoVevXsjNzS13\nfE2uH68qSiXNbdu2xYULF+Du7o6oqChs2bIF7969g5+fH06cOCGzK6CFhQUSExPh5uaGQ4cOYcuW\nLdDX18e+ffvg7e0t13fz5s1x/vx5jBw5EjExMQgICEB+fj4CAwPh7+9fcVdai117LF/zLXM8nWtZ\nExER1SWpqakwNDSEl5cX3r9/L21PSUmBpaUldu3aJRMfGRmJkJAQ7N27F8uXL8fZs2cxfvx4XLx4\nEYGBgXL9lzaeAEF+Vd/eWQEEAkGV35VamcaO8sCzS6k4fiu+Uvp3cXFBVFRUpfRNRERUXQQCQY29\nEbC8ecqlS5ewePFinDx5EpMnT5Ymsl5eXvjpp5+QlpYGPT09xMbGwtnZGe3bt8eNGzdk+nj06BFa\ntWqFzp074/fffweAMscvWbIEPj4+5bqmotSWvK7E1TOoagxs2wM/f/W9wmODd8+R1jIr4mzcFUdG\nr1F4zOf0VjR27VQhYyQiIqKq0aVLFxw/fhwDBw5ESEgIfH19oa6ujrCwMIwaNQp6enoy8XZ2dnJ9\nNGvWDEZGRvjjjz/kjpU2npQsz6Dq1amJSfHHDRUvy0dERES1l0AgQEBAAEQiEcLDw7Ft2zbk5ORg\nxowZcrGNGzdW2IeBgQHev38vV6dc2njiTHOtsMBhLM49uKrwZkDrZh2w0MGz6gdFREREla5169bo\n2rUrEhMTcfHiRTg6OsLc3Fwu7smTJwpfn5GRgXr16kFNTa1c8cSZ5lpBQ00dx8asw0zbEXA27gqg\noCRjpu0IHBuzDhpq6iX0QERERLWVtbU1Dh8+jAcPHiicZQYKVsP40MOHD3H//n106iRfplnaeGLS\nXGtoqKnje5fJ0trlI6PX4HuXyUyYiYiI6jgzMzOIRCIYGxtj0KBBCmNSUlIQHh4u0+br6wuxWIzR\no0eXO55YnkFERERUozVt2hQAMG3atCLXS3Z1dcXEiRNx9OhRtG7dGnFxcTh37hy6deumcMnf0sYT\nZ5qJiIiIajTJfhiDBw8uMsbOzg7Hjx9HWloaAgICcPv2bUyZMgWRkZFQVZWfIy1tPHGmmYiIiGqx\n4S0XVvcQKp1kJQsVFRW5Y46OjhCLxdLnLi4uxfZV2vi3b98CANTVWQ7KpJmIiIhqpdqwIUZFKLwj\nYFW7c6dg1+FmzZpV2xhqCibNRERERDVYdayZfO3aNYSFhWH79u3Q1NSEm5tblY+hpmFNMxEREVEN\nZm5uDmdn5ypdO/nKlSsICgqCiYkJTpw4UeRmKB8TzjQTERER1WCdOnVCVFRUlZ5z7NixGDt2bJWe\ns6bjTHMtNN+ef4iJiIiIqhKT5lpoYU/P6h4CERER0UeFSTMRERERUQmYNBMRERERlYBJMxERERFR\nCZg0ExERERGVgEkzEREREVEJmDQTEREREZWASTMRERFRHRYbGwuhUAg/P79Kif9YMGkmIiIi+ggI\nBIJKja/ruI02ERER1Uo1OanLz8+v7iFQBWPSTERERLXWP8OGVfcQ5Hz6yy/VPQSqBCzPIDlLliyp\n7iEQERFRJYiKikL37t3RoEEDGBoawtvbG1lZWRUWX5cxaSY5LPwnIiKqe+Lj4zFgwAAYGRlh5syZ\nMDExQVBQEHr16oXc3Nxyx9d1TJqJiIiIapjU1FQYGhrCy8sL79+/l7anpKTA0tISu3btUiqmsMjI\nSISEhGDv3r1Yvnw5zp49i/Hjx+PixYsIDAyUG0Np4+s6Js1ERERENUxmZiasrKwQHByMGTNmSNsD\nAgJw69Yt9OnTR6mYwtq3b4/Ro0fLtPn5+UFFRQXh4eFyYyhtfF3HpJmIiIiohunSpQuOHz+Ofv36\nISQkBOnp6Xj+/DnCwsIwatQo6OnpKRVTmJ2dndx5mjVrBiMjI/zxxx9yx0obX9dx9Qz66Dx+/BiR\nkZGV1r+2tjYGDRpUaf0TEdHHQSAQICAgAKampggPD4dYLEZOTo7MrLIyMRKNGzdWeB4DAwPcu3cP\nubm5UFNTK3N8XcekmT46N2/exHffzIRT664V3vfLt69xN+cxk2YiIqoQrVu3RteuXZGYmIiLFy/C\n0dER5ubmpY4BgCdPnig8R0ZGBurVqyeXAJc2vq5j0kwfpbZNWiGk37wK7/fPpw8w6uSyCu+XiIg+\nXtbW1ggMDIRIJEJAQECZY+Lj4+XaHj58iPv376NLly7ljq/rWNNMAIDs7GzMmzcPbm5uAAA3NzfM\nmzcPOTk51TwyIiKij5uZmRlEIhGMjY2L/CVTmZiUlBS5G/h8fX0hFovlbvgrS3xdx5lmQnZ2Nlxd\nXZGQkCBti4iIQEREBOLi4hAdHQ0NDY1qHCEREdHHq2nTpgCAadOmFbl1uDIxrq6umDhxIo4ePYrW\nrVsjLi4O586dQ7du3eDt7V3u+LqOM82EpUuXyiTMhSUkJHCHQCIiomokFBaka4MHDy5XjJ2dHY4f\nP460tDQEBATg9u3bmDJlCiIjI6GqKj+PWtr4uu7ju2KSc+XKlWKPJyUlVdFIqDg5OTlYsWJFpZ7D\nx8fno7uxg4hqt09/+aW6h1DpJLvvqaiolCnG0dERYrFY+tzFxaXY85U2/mPBpPkjEBUVhfnz55f5\n9REREUX+1OPr68uZ6Cry7t07rFntj9m2oyql/1W/7cTChQuZNBNRrZGfn1/dQ6gShXf7K08MlQ+T\n5o+Aq6sroqKiijzu5uaGiIiIIo/37t0bp06dqoyhUSnVr6eO+Q5jK6XvHxJ2V0q/RERUPpJZ5PLG\nUPkoVdMsFAqLfISEhMjF37hxA0OGDIGuri60tLRgY2OD/fv3F9l/WloaPDw8YGBgAE1NTVhYWCA4\nOLjsV0Wl0rlz52KPW1paVtFIiIiI6EPm5uZwdnYu9pdAZWKofJSeaW7VqhU8PT3l2j9cpy8pKQn2\n9vYQi8UYMWIE9PX1ceDAAXz11VfYuHEjpk6dKhOflpYGa2trZGRkYNiwYWjVqhVOnjwJLy8v3Llz\nB2vWrCnblZHSfH19ERcXp/BmQFtbW5ZfEBEV49GjR+jl5AKIKqdUoJ6GOpKuX6uUvql26NSpU7G/\nGNlpn9AAACAASURBVCsbQ+VTqqTZx8enxDgvLy/k5OQgIiICzs7OAIDFixfD2toac+fOhbu7OwwN\nDaXxc+fORXp6OkJDQ6VJ+bJly+Dm5oZ169Zh9OjRnOmsZBoaGoiOjsaSJUuQlJSEiIgI9O7dG5aW\nlliyZAmXmyMiKkZubi5ePM3Eka/8K7zv96JcOId9U+H9ElHpVWhNc3JyMs6fP49evXpJE2YA0NLS\nwoIFC+Dh4YHdu3dj1qxZAICsrCwcOHAApqamMrPYqqqqWLp0Kezt7REaGooNGzZU5DBJAQ0NDaxe\nvRpAwT72rGEmIlKemqoa2jduVeH9vs3jzV1ENYXSSXNmZiaCg4Px7NkzGBgYwNnZGZ999plMTFxc\nHACgV69ecq93dXWVxkiS5oSEBOTl5UmPFWZjYwNNTU1pn0RERERE1UXppPnatWvw8vKSPhcIBBg/\nfjy2bNkiLTq/c+cOAKBNmzZyr2/SpAkaNGggjSkpXkVFBcbGxjLxRERERETVQanVM+bMmYMLFy7g\nxYsXeP78OSIiItC5c2eEhIRg5syZ0riXL18CALS1tRX2o62tjaysrFLF5+TkQCQSKXc1VOPxpkIi\nIiKqjZRKmlevXo0uXbpAW1sbjRo1gqurK2JiYtCiRQts3boVGRkZlT1OqiP8/PyqewhEREREpVbm\nGwG1tbXx5ZdfYv369fj9998xYMAA6YyxZAb5Qy9fvkTLli1l+igpXkNDQ+GWkGWZsXR0dISjo2Op\nX0dERER125IlS/hraDnFxsYiNja2uodRacq1eoaenh4AIDs7G8C/tcm3b9+Wi338+DHevHkjU79s\nYmJSZLxIJEJqaqrCemeAP/MTERFRxfHz86sVucWSJUuwdOlSxMbGwsHBobqHI6Osk5O15Vdopcoz\nivL7778DgHT2uGfPngCAyMhIuVhJW+EP2NbWFmpqaoiOjpaLT0hIQHZ2do37A/Ex8PX1re4hEBER\nUSXx9PSEUCjEgwcPqnsotUqJSfPNmzcV7mceHh6OI0eO4LPPPkO3bt0AAO3bt4eNjQ2io6NlEuFX\nr15hxYoV0NTUxKhRo6Tt2tracHd3x61bt7B9+3Zpe25uLnx8fCAUCjFhwoRyXSCVXm34pk1ERERl\nJxAIqnsItU6J5RnBwcEIDw9Hz5490aJFCwDAxYsXce7cOTRs2BBhYWEQCv/NvQMDA9GjRw8MHDgQ\nI0aMgJ6eHg4ePIjU1FRs3LhRZjdAAPD390dsbCwmTZqEU6dOSbfRvnbtGmbPng0LC4sKvmQiIiKi\nj1t+fj7y8ytn6/e6qsSZ5r59+6Jnz55ISkrCjz/+iKCgIDx+/BiTJ09GUlISunfvLhNvYWGBxMRE\nuLm54dChQ9iyZQv09fWxb98+eHt7y/XfvHlznD9/HiNHjkRMTAwCAgKQn5+PwMBA+PtX/JakVPWy\ns7Mx7/+xd+dxUVZtH8B/97AOIKaWkDsplJoCPRaQihtCr+mT5q6ZqJmZZZsSogiSS1jZYj5WlkuW\n2ltGezI4pqQipoGWlopSkgtuBciMrOf9w5d5HGeYYblvZhh+38+HPzrn3Nec4YRcc3Pd58TGIioq\nCgAQFRWF2NhY6PV6G8+MiIiaMnv+/VRUVITZs2fD19cXnp6euP/++7Fjxw6zY8vKyvDWW28hIiIC\nbdu2hZubG9q3b4/HHnsMZ8+eNRrbqVMnfPjhhwAAPz8/qFQqqFQqTJkyxTBm7dq1GDZsGDp06AB3\nd3f4+vpi7NixOHbsmHJvuBGweqc5KirK8D9TTXXv3h0pKSk1Ht++fXts3LixVq9BjYNOp0NERAQy\nMjIMbRqNBhqNBunp6dBqtVCr1TacIRERNUX2/PupoqICQ4YMwZ49exAaGooBAwbg5MmTGDJkiOH5\nsRtdvnwZL7zwAgYMGIARI0bAy8sLhw4dwrp167B9+3ZkZWWhRYsWAIDnnnsO69evx6FDh/Dss8/i\nlltuAQAEBQUZ4j399NO45557MGTIELRs2RLHjh1DSkoKNBoNDh48aHIidFNRr90ziKxJSkoy+gfp\nRhkZGUhMTERycnIDz4qIiJo6e/79tHbtWuzZswfjxo3Dpk2bDO0bN27E5MmTTeqRW7Zsib/++gs+\nPj5G7Vu2bMGECROwatUqLFiwAADwzDPPICsry5A0d+jQweT1f/vtN5P23bt3Y8CAAVi6dCnef/99\nud5qo1Kv3TOIrMnKyrLYn52d3UAzISIi+i97/v308ccfQ6VS4aWXXjJqnzRpEu666y6TWmRXV1eT\nhBkAxo4dC29v72rLOqpjLpHu06cPunXrZnbHs6aCSTPVS2JiIiRJqvZLo9FYvF6j0VR7LXfxICIi\nOZj7XVXX308N8bvp8OHDaN26NTp37mzSFxYWZvaazMxMjBw5Em3atIGrqytUKhWcnJxQWFiIc+fO\n1er1f//9d0yaNAkdOnSAm5uboe75l19+wfnz5+v0nhwByzOoXqydoBQVFWXxH6bIyEikpqYqMDMi\nIqLrzP2usuffT4WFhYYdy27WunVrk7Zdu3Zh8ODBcHV1xQMPPIDOnTvD09MTQgi88cYbKCkpqfFr\n//7777jvvvtw7do1REZGomvXrvDy8oIkSVi3bl2T3tuZSTMpKjg42OI/Sjc+eEBERNRQ7Pn3k7e3\nNy5evGi278KFCyZtycnJqKiowI4dO3DfffcZ9dV2J7K33noLV69exZYtWzBmzBijvs2bN9cqlqNh\neQYpKiEhodo/JYWFhbEEg4iIbMKefz8FBgYiPz8fOTk5Ru1CCOzdu9dk/KlTp9CqVSuThDk7O9vs\n9nlOTk4Aru/SYS6WJEkYOnSoUfuFCxdw6tSpWr8XR8KkmRSlVquh1WoRExODyMhIANf/5BUTE8Pt\n5oiIyGbs+ffTxIkTIYRAfHy8UfvGjRtx7Ngxk90zOnTogMuXL+P48eOGtqtXr+LZZ581G79ly5YA\ngL/++sukr0OHDhBCYM+ePYa2srIyPPPMM2ZPiG5KWJ5BilOr1YZteyRJYg0zERHZBXv9/TR16lR8\n+OGH+OSTT/DHH3+gf//+OHXqFL788ksMHjwYaWlpRuOfeOIJbN++Hb1798aYMWMghMC2bdvg4+OD\nNm3amOy2MXDgQLz22mt4/PHHMWLECHh4eCAoKAhDhw7F9OnTsXbtWjz88MMYN24cPD09odVqodfr\nERgYiEOHDjXkt8Ku8E4zERERkR1RqVT47rvv8NRTT+HUqVN466238Ndff+H777/H/fffb3Kn+eGH\nH8bGjRvRpk0brFu3Dl9//TWGDh0KjUYDFxcXk/H/8z//g6VLl6KsrAyvvvoqEhIS8PnnnwMA7r33\nXnz77bfo1q0btmzZgi1btuCee+7Bnj17cMstt5jEakp4p5mIiIjIznh5eeGtt97CW2+9ZdQ+YMAA\nJCQkmIyfOHEiJk6caNKem5trNn5sbCxiY2PN9lV3GvQPP/xQk6k7LN5pJiIiIiKygkkzEREREZEV\nTJqJiIioyTNX8kB0IybNRERE1OTx3ACyhkkzNSh+kiciIqLGiEkzNSh+kiciIqLGiEkzEREREZEV\nTJqJiIiIiKxg0kxEREREZAWTZiIiIiIiK5g0ExERERFZwaSZiIiIiMgKJs1ERERERFYwaSYiIiIi\nsoJJMxERERGRFUyayWHwtEEiIiJSCpNmchiLFi2y9RSIiIjIQTFpJiIiIiKygkkzEREREZEVTJqJ\niIiIiKxg0kxEREREZAWTZmrUdDodYmNjERUVBQCIiopCbGws9Hq9jWdGREREjsTZ1hMgqiudToeI\niAhkZGQY2jQaDTQaDdLT06HVaqFWq204QyIiInIUvNNMjVZSUpJRwnyjjIwM7ttMREREsmHSTI1W\nVlaWxf7s7OwGmgkRERE5OibNZLcSExMhSVK1XxqNxuL1Go3G7HUDBgzAn5fO1mouS3atr8c7ISIi\nosaOSTPZrcTERAghqv2KjIy0eH1kZKTZ63744Qd0vLVNreay7McN9XkrRERE1MgxaaZGKzg42GJ/\nUFBQA82EiIiIHF2dkubhw4dDpVLhtttuM9t/5MgRDB8+HC1btoSXlxdCQ0Px2WefVRsvLy8PkyZN\nQuvWreHh4YHAwEC8++67dZkaNSEJCQkICwsz2xcWFsYHAYmIiEg2tU6aN2/ejG+++Qbu7u6QJMmk\nPzs7G6GhoUhLS8OIESMwa9YsXLp0CWPGjMGqVatMxufl5SEkJASbN2/GoEGD8Mwzz0ClUmHmzJmY\nO3du3d4VNQlqtRparRYxMTGGUo3IyEjExMRwuzkiIiKSVa32ab5w4QJmz56N2bNnIyUlBcXFxSZj\nZs6cCb1eD41Gg4EDBwIA4uPjERISgpiYGIwcORK+vr6G8TExMTh//jzWrl2L6OhoAMBLL72EqKgo\nrFixAhMnTuSf2alaarUaycnJAABJkpCammrjGREREZEjqtWd5lmzZqFZs2ZYvHgxhBAm/UePHkVm\nZiYGDRpkSJgBwMvLC3FxcdDr9di0aZOhvaCgAFu3bkVAQIAhYQYAZ2dnJCUlQQiBtWvX1uFtERER\nERHJp8Z3mrdu3YqtW7ciNTUVHh4eZsekp6cDAAYPHmzSFxERYRjz/PPPA7h+AEV5ebmh70ahoaHw\n8PAwxKSmRaPRYP7ceYCZD2eW3NvzHqtjiq4WobWTt9VxurJrWJb+IQ7nnwAAPLRpLnr6+CMufDLU\nLm61mhcRERE1bjVKmi9fvoxZs2Zh0qRJZhPiKjk5OQCALl26mPT5+PjA09PTMMbaeCcnJ/j5+RmN\np6bjypUraHbNCQm9p9T4mv6/PIlXe02v0VgvN/Mf/Kroyq5h2EcvIPPMUUOb9tQBaE8dwN7Th/DN\nIyuYOBMRETUhNUqaZ8+eDQB44403LI4rLCwEAHh7m7+L5+3tjYKCglqN1+v1qKiogJOTU02mSg6k\nlWdz9GrbtVbX1HZ8dZalf2iUMN8o88xRLElfj8WDZsjyWkRERGT/rCbNX3/9NTZv3oxNmzahRYsW\nDTEnIpurKsmotv984/gLyJJd6zG/X7Stp0ENrKCgwOgGhdy8vLzQsmVLxeITEdkji0lzcXExnnji\nCTz44IMYN26c1WBVd4yr7iDfrLCwEB07dqzVeLVazbvMVCPz+k6u8dglu9bX65S/HbkH4LV4gNm+\nVs3t58Plsh83MGlugl5//XW8/spr8PZoJnvsq/pijBk/Fu+ueU/22ERE9sxi0nzx4kWcO3cO3377\nLVQq8xttqFQqNG/eHH///behNvnECdO7dPn5+SguLjaqX/b39692fEVFBXJzc83WOwOo08EV/fv3\nR//+/Wt9HTUOtUkO5/eLtjj+oU1zoT11oNr+gX698NXEV0zaj106jQnbXqrxPIiUMutfIxX5wPT+\nwa9wtLJI9rhE1Pjt3LkTO3futPU0FGMxafb29sa0adPMHmKyZcsWlJWVYdKkSYbdNPr16wcASEtL\nMzmYJC0tDQAQHh5uaAsLC4OLiwu0Wq1J/IyMDOh0OqPxN+Jpb7b3n//8B7FzX1Qkdll5GR68q48i\nsWuip4+/xaS5p6/5D3NERERNVV1vTi5atEj+ySjAYtLcsmVLrFmzxmyfRqOBTqfDe+/99090Xbt2\nRWhoKLRaLbRaLQYNGgQAKCoqwtKlS+Hh4YEJEyYYxnt7e2PkyJHYsmUL1q1bhylTru+UUFZWhoUL\nF0KlUmHatGn1fpOkjNLSUoy5exBe6lezHStqy1llu7KcuPDJ2Hv6kNmHAUPadsP88Ohqr/3zbB7u\n/1eI7HMqLy8HarcDHxEREcmkVicC1sTq1avRp08fDBs2DOPGjUOrVq2QkpKC3NxcrFy50ug0QABY\nvnw5du7cienTpyM1NRWdOnXCtm3bcPjwYcyZMweBgYFyT5Fk5ObkAm83T1tPQ3ZqFzd888gKLElf\nj8Pnc7Aj9wAG+vVCT98umB8eXe12c+2bt8bX403LNuTidA/r+4mIiGyhzkmzuZINAAgMDMS+ffuw\nYMECfPHFFygpKUGPHj2QnJyMkSNHmoxv164dMjMzERcXh9TUVBQVFSEgIACrV6/GjBnc0otsR+3i\nZthWzmvxALM1zDfzcHFHWPseSk/NIh7KQkREJL86J825ubnV9nXv3h0pKSk1jtW+fXts3LixrlMh\nov/HQ1mIzKuoqIBOp1Mk9tWrVxWJS0T2RfbyDCKyHR7KQmTeTz/9hPvvvx+e7pZPA62r9s1bKxKX\niOwHk2YiB+Ioh7KQfftg/Tp8vHmTIrGHDnkQWz77X0Vi9/K7Gz9MeEuR2ETk+Jg0EzUiSh7KAgCL\nFy/G4sWL6xyfHN/koCEY12OwIrG/O74XX1zNUiQ2EVF9MWkmqoHanDZYW7U56lqpQ1kAoFVyFBYs\nWFCjeVDT5eLkDBcnZX51qF3cAL0ioYmI6s38MX9EZETJo6jrc+f4Zj19/C3381AWIiKiOmHSTORA\n4sInI6RtN7N91g5lISIiouqxPIPIgdT1UBYiIiKyjEkzkYOpy6EsREREZBnLM4iIiIiIrOCdZiIb\n4FHXREREjQvvNBM1sKqjrl/P2GzYHk576gBez9iMoR89D31ZiY1nWDOJiYm2ngIREVGDYdJM1MBq\nctR1Y7Bo0SJbT4GIiKjBMGkmamA86pqIiKjxYU0zkcyUPOp6Xt/JtTpoRcmTDImIiJoSJs1EMlPy\nqOu6zIWIiIjqj+UZRA2MR10TERE1PkyaiRpYYz7qWqfTITY2FlFRUQCAqKgoxMbGQq/X23hmRERE\nymJ5BlEDa6xHXet0OkRERCAjI8PQptFooNFokJ6eDq1WC7VabcMZEhERKYdJM5ENNMajrpOSkowS\n5htlZGQgMTERycnJDTwrIiKihsHyDCKqkaysLIv92dnZDTQTIiKihsekmYgMFi9eDEmSzH5pNBqL\n12o0mmqvlSSJJwgSEVGjxqSZiAwWLFgAIYTZr8jISIvXRkZGVnutEIJJMxERNWpMmomoRoKDgy32\nBwUFNdBMiIiIGh6TZiKqkYSEBISFhZntCwsL451kIiJyaEyaiWyssRx1rVarodVqERMTYyjViIyM\nRExMDLebIyIih8ct54hsrDEdda1Wqw3bykmShNTUVBvPiIiIqGHwTjMRERERkRVMmomIiIiIrGDS\nTER2hw8VEhGRvWHSTER2Z9GiRbaeAhERkREmzURUJwkJCbaeAhERUYNh0kxEdcISCiIiakqYNBMR\nERERWcGkmYjsgk6nQ2xsLKKiogAAUVFRiI2NhV6vt/HMiIiIeLgJEdkBnU6HiIgIZGRkGNo0Gg00\nGg3S09N54iAREdkc7zQTkc0lJSUZJcw3ysjIYP00ERHZHJNmIrK5rKwsi/3Z2dkNNBMiIiLzmDQT\nUYNITEyEJElmvzQajcVrNRpNtddKksQ70UREpDgmzUTUIBITEyGEMPsVGRlp8drIyMhqrxVCMGkm\nIiLFWU2aCwoKMHv2bISGhsLHxwfu7u7o0KEDHnjgAXz77bdmrzly5AiGDx+Oli1bwsvLC6Ghofjs\ns8+qfY28vDxMmjQJrVu3hoeHBwIDA/Huu+/W/V0RUaMSHBxssT8oKEi212KCTUREdWE1ab548SLW\nrVuH5s2bY9SoUZgzZw4GDRqEzMxMDBs2DAsXLjQan52djdDQUKSlpWHEiBGYNWsWLl26hDFjxmDV\nqlUm8fPy8hASEoLNmzdj0KBBeOaZZ6BSqTBz5kzMnTtXvndKRHYrISEBYWFhZvvCwsJkTXR5RDcR\nEdWF1S3n7rjjDhQUFEClMs6vly1bhuDgYCQnJ2Pu3Llo1qwZAGDmzJnQ6/XQaDQYOHAgACA+Ph4h\nISGIiYnByJEj4evra4gTExOD8+fPY+3atYiOjgYAvPTSS4iKisKKFSswceJEWe8yEZH9UavV0Gq1\nSExMRHZ2NjQaDSIjIxEUFITExERuN0dERDZn9U6zSqUySZgBwNfXF2FhYSgrK8OVK1cAAEePHkVm\nZiYGDRpkSJgBwMvLC3FxcdDr9di0aZOhvaCgAFu3bkVAQIAhYQYAZ2dnJCUlQQiBtWvX1uf9EVEj\noVarkZycjNTUVABAamoqkpOTmTATEZFdqPODgFeuXMH+/fvRsWNHdOjQAQCQnp4OABg8eLDJ+IiI\nCKMxwPX9V8vLyw19NwoNDYWHh4fReCIiIiIiW6jxiYAXL17EqlWrUFlZiXPnzuGrr75Cs2bNsGXL\nFkiSBADIyckBAHTp0sXkeh8fH3h6ehrGWBvv5OQEPz8/o/FERPYsMTGRDxoSETmoGifN+fn5SEpK\ngiRJEELA3d0dM2bMQPfu3Q1jCgsLAQDe3t5mY3h7e6OgoKBW4/V6PSoqKuDk5FTTqRIRGdHpdEhK\nSjIcohIVFYXg4GAkJCTIWv6xaNEiJs1ERA6qxknz3XffjcrKSlRWVuKPP/7A+++/jyVLliAtLQ17\n9uwxW/dMRGRrOp0OERERRsd0azQaaDQapKenQ6vVsm6aiIisqnHSXEWlUuGOO+7A0qVLcfXqVbz9\n9tv4/PPPMWrUKMMd46o7yDcrLCxEx44dDf9dk/FqtdrsXea63M3p378/+vfvX+vriKhhJSQkyBYr\nKSnJKGG+UUZGBhITE5GcnCzb6xERNVU7d+7Ezp07bT0NxdQ6ab5RREQE3n77bRw5cgSjRo0y1Caf\nOHHCZGx+fj6Ki4uN6pf9/f2rHV9RUYHc3Fyz9c4ADyggcmRy/nxXlWRUJzs7W7bXIiJqyup6c7Kx\n7J9fr5qKs2fPAoBhj+Z+/foBANLS0kzGVrWFh4cb2sLCwuDi4gKtVmsyPiMjAzqdzmg8EZE5iYmJ\nkCTJ7JdGo7F4rUajqfZaSZKsJvA6nQ6xsbGIiooCcL1eOjY2Fnq9Xq63R0REdsBq0nzkyBGUlpaa\ntOfl5WHZsmVwcnLCkCFDAABdu3ZFaGgotFqtUSJcVFSEpUuXwsPDAxMmTDC0e3t7Y+TIkTh+/DjW\nrVtnaC8rK8PChQuhUqkwbdq0er1BInJ8iYmJEEKY/YqMjLR4bWRkZLXXCiEsJs1V9dLJycmG5Fyj\n0SA5ORmDBg1i4kxE5ECslmesWbMGGzduRJ8+fdCxY0e4ubnh1KlT+Pbbb1FWVoYlS5bgrrvuMoxf\nvXo1+vTpg2HDhmHcuHFo1aoVUlJSkJubi5UrVxqdBggAy5cvx86dOzF9+nSkpqaiU6dO2LZtGw4f\nPow5c+YgMDBQ/ndNRE1GcHCwxbvN9TlxlPXSRERNh9WkefTo0SgsLERGRgZ27tyJa9euwcfHB//+\n978xa9YsQ0lGlcDAQOzbtw8LFizAF198gZKSEvTo0QPJyckYOXKkSfx27dohMzMTcXFxSE1NRVFR\nEQICArB69WrMmDFDvndKRE1SQkIC0tPTzSa3YWFh9aqfZr00EVHTYTVp7t27N3r37l2roN27d0dK\nSkqNx7dv3x4bN26s1WsQEdWEWq2GVqtFYmIisrOzodFoEBkZiaCgICQmJlrdbi4xMbHOD6lU1UtX\nJyEhgQ81ExE1EvXaPYOIqDFQq9WGMglJkpCamlrjay2d8hcVFWWx9CMyMrJWr0VERPaLJ5IQEdVR\ncHCwxf761EsTEZF9YdJMRFRHCQkJCAsLM9tX33ppIiKyL0yaiYjqqKpeOiYmxrC1XWRkJGJiYng8\nNxGRg2FNMxE1KXIe0Q3Ur16aiIgaD95pJqImhSUTRERUF0yaiYiIiIisYNJMRERERGQFk2YiIpnI\nXS9NRET2g0kzEZFMWC9NROS4uHsGERERNSqvvfIaThw7plj8x554HL169VIsPjVOTJqJiIjsWHlF\nBVavXq1Y/KlTp8LNzU2x+Er4amsKeojb0aVVO9ljb/jle/SPGMikmUwwaSYiIrJTTpIK0fc8iIMb\nNIrE//Dgtxg/fnyjS5oB4MGA3gjvJP9R9XvO/yp7THIMTJqJiIjslIuTM96Mek6x+J/9qlUsNpGj\n4YOARERERERW8E4zERFRU1Up4NPaB5Ikf+iS0lIAgJfaU/bYuhI94D9K9rhEljBpJiIiaqJOPrNV\nsdj6shI4q5wUi692aXx12NS4MWkmIiJqotydXRtlbCJbYE0zEREREZEVTJqJiIiIiKxg0kxERERE\nZAWTZiIiIiIiK5g0ExE1AomJibaeAhFRk8akmYioEVi0aJGtp0BE1KQxaSYiIiIisoJJMxERERGR\nFUyaiYjslE6nQ2xsLKKiogAAUVFRiI2NhV6vt/HMiIiaHp4ISERkh3Q6HSIiIpCRkWFo02g00Gg0\nSE9Ph1arhVqtlu31luxaj/n9omWLR0TkaHinmYjIDiUlJRklzDfKyMiQfTeNZT9ukDUeEZGjYdJM\nRGSHsrKyLPZnZ2c30EyIiAhg0kxEZDOJiYmQJMnsl0ajsXitRqOp9tpFixbhxz/tJ6lesmu9radA\nRFRvTJqJiGwkMTERQgizX5GRkRavjYyMrPbahIQE9O0YZPX1dWXXEK99Dw9tmgsAeGjTXMRr34O+\nrESW91eFpR9E5Aj4ICARkR0KDg62eLc5KMh6UmyJruwahn30AjLPHDW0aU8dgPbUAew9fQjfPLIC\nahe3er0GEZEj4Z1mIiI7lJCQgLCwMLN9YWFh9X4QcFn6h0YJ840yzxzFkvT19YpPRORomDQTEdkh\ntVoNrVaLmJgYQ6lGZGQkYmJiZNlu7nD+Ccv953PqFb+hSj+IiBoKyzOIiOyUWq1GcnIyAECSJKSm\nptb42h//zIbX4gF1fu0duQeqvX5e38kW93Rm6QcROSImzUREDqhvxyBse/SNavsf2jQX2lMHqu0f\n6NcLX018pU6vXZPSj8WDZtQpNhGRrbA8g4ioCerp42+537dLnWMrXfpBRGQLVu80//XXX/j000/x\n7bff4tixY7hw4QJuu+029OvXD3FxcejevbvJNUeOHMH8+fORnp6O0tJS3H333ZgzZw5GjRplCn2n\nzgAAIABJREFU9jXy8vIQFxeH1NRUXL16Ff7+/njyyScxYwbvRBARAdcfDJRTXPhk7D19yOwd4ZC2\n3TA/PLraa5fsWl+vbeQslX4EdLaczN8sMTFR9tMRiYjMsZo0v/3221i+fDkCAgLw4IMPomXLlvjl\nl1+wZcsWfP755/j+++/Rv39/w/js7Gz07dsXlZWVGDduHG699VZs3boVY8aMwcqVKzFr1iyj+Hl5\neQgJCcGFCxcwevRodOrUCdu2bcPMmTORk5ODV16p258HiYgcidyJodrFDd88sgJL0tfj8Pkc7Mg9\ngIF+vdDTtwvmh0dbrDme3y/aYk1zXUs/vj62G5sL99XqfSxatIhJMxE1CKtJc0hICH788Uf07t3b\nqP2zzz7DmDFj8OSTT+Lo0f/eqZg5cyb0ej00Gg0GDhwIAIiPj0dISAhiYmIwcuRI+Pr6GsbHxMTg\n/PnzWLt2LaKjowEAL730EqKiorBixQpMnDix3vuREhGRKbWLm6G22GvxgDrXMN+sp4+/xaS5PqUf\nRES2YrWmecSIESYJMwCMGjUK/v7+OHbsGK5cuQIAOHr0KDIzMzFo0CBDwgwAXl5eiIuLg16vx6ZN\nmwztBQUF2Lp1KwICAgwJMwA4OzsjKSkJQgisXbu2Pu+PiIgaWFz4ZIS07Wa2z1rpR03odDrExsYi\nKioKABAVFYXY2Fjo9fp6xSUisqReu2e4urpeD+J8PUx6ejoAYPDgwSZjIyIiDGOef/55AEBGRgbK\ny8sNfTcKDQ2Fh4eHISYRESlnXt/JssWqT+mHNTqdDhEREcjIyDC0aTQaaDQapKeny7KHNRGROXVO\nmg8ePIgjR47g3nvvhbe3NwAgJ+f6E9Fdupj+6c3Hxweenp6GMdbGOzk5wc/Pz2g8EREpw1KNcl0o\nVfqRlJRklDDfKCMjA4mJiYa9rYmI5FSnLeeuXr2KyZMnQ6VSGf3jVFhYCACGJPpm3t7eKCgoqNV4\nvV6PioqKukyTiIgcTFZWlsX+7OzsBpoJETU1tb7TXFpaitGjR+Po0aNISkoy2jmDiIioPn7POQ5J\nkup8vUajqfb6Nre0rnNcIqJaJc3l5eUYO3YsUlNTMWfOHCxYsMCov+qOcdUd5JsVFhaiY8eOtRqv\nVqvh5ORk0leXLYb69+/PJJ+IqIHVpl76ri4BOJZzvNr+qKgoaDSaavsjIyPNHje+b98+zJ74eI3n\nAVzfj1rushUiR7Zz507s3LnT1tNQTI2T5vLycowfPx5ffvklZs+ejeXLl5uM8fe/vin9iROmp0Hl\n5+ejuLjYqH7Z0viKigrk5uaarXcG5N+zlIiIlCFn4hkcHGwxaZZzi9JlP25g0kxUC3W9Oblo0SL5\nJ6OAGtU0V1RUYNKkSdi6dStmzpyJN954w+y48PBwAEBaWppJX1Vb1RgACAsLg4uLC7Rarcn4jIwM\n6HQ6o/FERNS0JSQkICwszGxfWFgYb6gQkWKsJs2VlZWIjo7GJ598gsceewyrVq2qdmzXrl0RGhoK\nrVZrlAgXFRVh6dKl8PDwwIQJEwzt3t7eGDlyJI4fP45169YZ2svKyrBw4UKoVCpMmzatru+NiIgc\njFqthlarRUxMDCIjIwFcL8mIiYnhdnNEpCir5RmLFi3Cxx9/jFtuuQW333672U/xzz33HJo3bw4A\nWL16Nfr06YNhw4Zh3LhxaNWqFVJSUpCbm4uVK1canQYIAMuXL8fOnTsxffp0pKamGo7RPnz4MObM\nmYPAwEB53ikRETkEtVpt2LlJkiSzNcx1pSu7hmXpH+Jw/vWywYc2zUVPH3/EhU+u1/7SRNT4WU2a\nT58+DUmSUFBQgJdeesmkX5IkTJ061ZA0BwYGYt++fViwYAG++OILlJSUoEePHkhOTsbIkSNNrm/X\nrh0yMzMRFxeH1NRUFBUVISAgAKtXr8aMGTNkeItERETW6cquYdhHLyDzzFFDm/bUAWhPHcDe04fw\nzSMrmDgTNWFWk+Z169YZlU7URPfu3ZGSklLj8e3bt8fGjRtr9RpERERyWpb+oVHCfKPMM0exJH29\n4cAWImp66nS4CRERkT1ISEiQLVZVSUa1/ed5Qi1RU1bnY7SJiIhsrTa7ZZy5kg+vxQPq/Fo7cg9U\ne/28vpO5PR2Rg2PSTERETULblj44/tQn1fY/tGkutKcOVNs/0K8Xvpr4ihJTI6JGgOUZREREAHr6\n+Fvu9zV/2BYRNQ1MmomIiADEhU9GSNtuZvtC2nbD/PDohp1QHS3Ztd7WUyBySEyaiYiIAKhd3PDN\nIyvwbNg4DPTrBeB6ScazYeMa1XZzy37cYOspEDkk1jQTERH9P7WLm2FbOa/FA1jDTEQGTJqJiIga\nOZ5kSKQ8Js1ERERmzOs72dZTqBGeZEjUMFjTTEREZIaS+y7L+bBeTU4ylAsfMqSmjEkzERFRA5Pz\nYb2GPMmQDxlSU8byDCIiIju2ZNf6eiWrlk4yBOznNMMlu9bbxTyIqsOkmYiIqAHU9WG9+f2iLSaT\nSp9k2FAPGS77cQOTZrJrTJqJiIgUpuTDej19/C0mzfU5yVDphwy56wc1JqxpJiIiUpiSD+speZKh\nkvOuSshfz9hsSPq1pw7g9YzNGPrR89CXldQ5NpESmDQTEREpTMmH9ZQ8yVDJeTfkrh9EcmB5BhER\nUT0p+bBeTR7Uq89JhvWZe30eMmzIXT+I5MCkmYiIqJ5s/bBefViae33nvWTXeotJtSWNZdcPajqY\nNBMRESlMyYf1bibnSYb1nbeSCTlRQ2NNMxERkcKUfFjvZnLefVVy3j19/C33y/hBgkgOTJqJiIgU\npuTDekpSct4N+UGCSA4szyAiImoA9XlYz5aUmndVQr4kfT0On8/BjtwDGOjXCz19u2B+eLTdfpCg\npotJMxEREdWInPXSQOP9IEFNE5NmIiKiBiZ38tlQuFtF/cTMmYvV/1mtSOyr+mIAQDMPL0Xij58w\nHu+ueU+R2I0Fk+YmoKKiAuXl5YrEJQciAO9m3pAkSZHwx44fQ6dOnRSJTdTYMPk0peQHiSW71tvF\n97zkWgnmhk7A472Gyx+7ogwuKidF/g3/5NftyCq+JHvcxoZJs4NTQULCwgQkLExQJP7M+x5WJC41\nvLNzvlYsdtB7kzG430C4urjKH1wlYdOnWxAYGCh/bCJqMEomtct+3GAXSTMAuDu7opmbh+xxm8ke\n8b/UzqwvB5g0O7zEAdOROGC6radBjYCbswIJ7f/7auxylFXK/9cOAJj67TLo9XpFYhMREVVh0kxE\nivNv1V6x2GpXd8Vif/755zhxwvJRv/URGRmJ4OBgxeI3RidO5eDll1+WPe7p06dlj0n2TVd2DcvS\nPzQc1/3Qprno6eOPuPDJ3JmD6oRJMxFRNTa8txaVfxYokvRvzz2AU6dOISoqSvbYv/32GzpDLXtc\npXVu2Rb/0/oeXPzmsOyx1QDGBdTtOGdqfHRl1zDsoxeQeeaooU176gC0pw5g7+lDdr03tr0qLi5G\nXl6eradhU0yaiYgsmNgjCsPu7CN73I7NfbFjXxY27Dsue2wAuLNzX0XiKqnbbX5IGvC4radBDmBZ\n+odGCfONMs8cxZL09Yat7uorMTERiYmJssS6mb08wKh2ccO+nXsRFnyf7LGvlV6TPaZSmDQTEdnA\nY/f8G4/d829bT4PIIVWVZFTbfz5HttdatGiRYkmzvTzAOLLbAIzspsxfatJO7seIzS8qEltuTJqJ\niIio0Vmyaz2W/bihTtfuyD0Ar8XVJ4Gpj+3D4oVJ1fZXVlbiwuWLuFZaAgDw8vSCu6sbWre6DSqV\nqtrrzl04jxfvm2BxbqzFtl9MmomIiKjRmd8vutq7sA9tmgvtqQPVXjvQr1e1pw/mFeSjoKS42muv\nlZfg6W9ew+V/rhjainXFKNYVo41rC6wcOgfuFnYj8vVqVW0fa7HtG5NmIiIicig9ffwtJs09fbtU\n29e+uQ8sPfobr30Pv1w4abbvlwsn8cVvu+pcL92QtdhUe9X/DYGIiIioEYoLn4yQtt3M9oW07Yb5\n4dF1jq1kvXRD1mJT7fFOMxERETkUtYsbvnlkBZakr8fh8znYkXsAA/16oadvF8wPj7Za4qBkvXSf\nDoHYffqQIrHn9Z1sFw8OOiomzURERORw1C5uhlIGr8UDqq1hNkepemlrlIxN9cfyDCIiInJo8/pO\nli1WTx9/y/0W6qVtGducJbvWyxrP0VlNmjdu3Ijp06cjODgYrq6uUKlU2LVrV7Xjjxw5guHDh6Nl\ny5bw8vJCaGgoPvvss2rH5+XlYdKkSWjdujU8PDwQGBiId999t27vhoiIiOgmcpYsKFkvrWTsKrqy\na4jXvoeHNs3Fsh834KFNcxGvfQ/6spJ6x3Z0Vssz4uPjcfr0afj4+MDHxwdnzpyBJElmx2ZnZ6Nv\n376orKzEuHHjcOutt2Lr1q0YM2YMVq5ciVmzZhmNz8vLQ0hICC5cuIDRo0ejU6dO2LZtG2bOnImc\nnBy88gr/BEFERET2o7710raKDXBLu/qyeqd53bp1yMvLw7lz5zB27FiLY2fOnAm9Xo+vv/4aH3zw\nAZKTk5GdnY2uXbsiJiYG58+fNxpf1fb+++9j8+bNWLZsGX766ScMGDAAK1asQHZ2dv3eHREREZHM\nquqlq+qLv5r4ChYPmiFLwqlk7JpsaUfVs5o0DxgwAG3btrUa6OjRo8jMzMSgQYMwcOBAQ7uXlxfi\n4uKg1+uxadMmQ3tBQQG2bt2KgIAAREdHG9qdnZ2RlJQEIQTWrl1by7dDRERE1HDkrJdWOja3tKsf\n2XbPSE9PBwAMHjzYpC8iIsIw5vnnnwcAZGRkoLy83NB3o9DQUHh4eBhiEhEREdkjJbd4q23s+myV\nB1je0o7b2cmYNOfkXP900qWL6ZOdPj4+8PT0NIyxNt7JyQl+fn5G44mIiIioepa2ygO4pV19ybbl\nXGFhIQDA29vbbL+3tzcKCgpqNV6v16OiokKuKRIRERE1WQ29pZ2j4T7NRERERE1AQ2xp58hkS5qr\n7hhX3UG+WWFhIZo3b16r8Wq1Gk5OTnJNkYiIiKjJqtrS7tmwcRjo1wvA9ZKMZ8PGcbu5GpCtptnf\n//ot/xMnTJ/MzM/PR3FxsVH9sqXxFRUVyM3NNVvvXCUxMbHWc+zfvz/69+9f6+uIiIiIHEF9jhe3\nJv2PbPz45/Xtgn/8Mxt9OwZZvebU32dke32lyZY0h4eHAwDS0tIwd+5co760tDSjMQAQFhYGFxcX\naLVak1gZGRnQ6XRG429Wl6SZiIiIiK6Te0u7Xm3vQtrJ/TicfwK7Tx+Cm7MLevr4Iy58crV3sdNO\n7scnv26XdR5KqVN5hhDCpK1r164IDQ2FVqs1SoSLioqwdOlSeHh4YMKECYZ2b29vjBw5EsePH8e6\ndesM7WVlZVi4cCFUKhWmTZtWl+kRERERkRVybiFXddrg6xmbDTt0aE8dwOsZmzH0o+cd4phuq3ea\n33//fezevRsAcODA9W/Cyy+/bEh0p0+fjt69ewMAVq9ejT59+mDYsGEYN24cWrVqhZSUFOTm5mLl\nypXw9fU1ir18+XLs3LkT06dPR2pqquEY7cOHD2POnDkIDAyU9c0SERERkfxqctpgVVlIY2U1ad6z\nZw8+/PBDSJIEAJAkCRqNBkIISJKEgQMHGpLmwMBA7Nu3DwsWLMAXX3yBkpIS9OjRA8nJyRg5cqRJ\n7Hbt2iEzMxNxcXFITU1FUVERAgICsHr1asyY0bi/sURERERNRVM4bdBq0rxu3Tqj8glrunfvjpSU\nlBqPb9++PTZu3Fjj8URERETUsJQ8bbCxkO1BQCIiIiJyTEqdNph2cj9GbH5RjikqjoebEBEREVG9\nNIXTBpk0ExEREVG9NIXTBlmeQURERET1UnXa4JL09Th8Pgc7cg9goF8v9PTtgvnh0Q5x2iCTZiIi\nIiKqtxtPG1yya72s+0DbA5ZnEBEREZGsHC1hBpg0ExERERFZxaSZiIiIiMgKJs1ERERERFYwaSYi\nIiIisoJJMxERERGRFUyaiYiIiIisYNJMRERERGQFk2YiIiIiIiuYNBMRERERWcGkmYiIiIjICibN\nRERERERWMGkmIiIiIrKCSTMRERERkRVMmomIiIiIrGDSTERERERkBZNmIiIiIiIrmDQTEREREVnB\npJmIiIiIyAomzUREREREVjBpJiIiIiKygkkzEREREZEVTJqJiIiIiKxg0kxEREREZAWTZiIiIiIi\nK5g0ExERERFZwaSZiIiIiMgKZ1tPgMic8spylFdWKhZfBcDV2VWx+ERERORYmDSTXYpN+w/e+SkF\nkqRM/FbNmuGP2V8pE5yIiIgcDpNmslsPRnTCJ2sGyh43fd85PPb0XtnjEhERkeNi0kyKSP8jG+Gd\ngmw9jWpdKbqKoA/GKxLb27kZ0ie/p0hsOdn7GhHXqDHgGtk/rhHJhUkzKeLHP+33H6m7utyCd17t\nq0jsc+d1SF55WJHYcrPnNaLr6rpGX/3+I9L/zFJgRtcF+QbgkcAHFIvfmPDnyP5xjUguTJqpyWl9\nqxqjht6hSOxjJ/9pNEkzOa7/7N+K805/4M7OLWSP/UdeIXafzWLSTFQH18pLUVpeqlj88spKuCv0\nkLtKpVIsdmNhN0nz7t27sWjRIuzfvx9CCPTq1Qvx8fEYMGCAraemuKKiIuw+fQjlFRWKxO/p2wX3\ntLlT9rjHL+fh94t/mO07dulPfPX7j3WOnfv3WTg3r/PlVAf5V68oGr+VhzecVXbzT47DG/1vP8x/\n9h7Z477/8e/44J2zssclagoiPpyFQ+dyoFLJ/5R7RYUAAEViCyHQ5ba2yHr8I9ljNyZ28RssNTUV\nDz74ILy9vfHII4/Azc0NW7ZsweDBg5GSkoJhw4bZeoqKOn02F2fzT+Kgfr/ssfMvFsPfqwve/J/n\nZI8do3kbBy8eQasW7iZ9/xSW4EDhwXrFH9ahY72up9rxf3MknJxVUGLDktKySmgefQv3d+ihQHQi\nosZBcgJeXhCCWVO723oqtfLRZyfw5hu5tp6Gzdk8aS4tLcWMGTPg7u6OPXv2oGvXrgCAmJgYBAUF\n4YknnsDgwYPh7m6amDmK7t27Yvr45nhklL/ssV9+KxtvrfkVkZuflD02ADw5pRsS5vzLpH3JGz8r\ncperMfin8Bq8FivzFxJnJwn/zNuhSGxJJeHcL4/A3U3+fxa6hGzBQ//7vCJbCJZXVCIlJQWhoaHy\nByciuxS+4XHkX7tYo7GFxXp8+PuXNY5dWSnwVNB4PBM2tq7TIwdl86R5+/btOH36NKZPn25ImAHA\n19cXTz/9NOLj4/Hdd9/h4YcftuEsG6/Y2UGInc0HIBpKwB3NUXRqiiKx/yksRYfgj9Fp1YOyxCvW\nl2LNr58a/rvqT3tKyPjuIVRWKhP/gXHfYdXbK/Du6jdkj11RWQm3TnoMu7OP7LGJakJXeg2RHz0N\nyUmZ+KIC+Grca2jp4a3MCyjkvP4Cnp5xJ3p0a2l17MdbT2DiyJrflEp6NQt5hfn1mR45KJsnzenp\n6QCAwYMHm/QNHjwY8fHxSE9PZ9JcR6FDUvDrb38rFj+g8y34ebv8a/N03G6s23xc9riO4MuNpj8r\ndfHBx79j2sS7jNpcXZT5zXxbK7UicQFgzWv9UHRVmQdr4pb+hB1/HED/DTMVif9ojyGYeo9jl5/V\nxpSUxfj0iFax+M4qZ/wTl6ZYfCWUVpbj8LkcLFsQokj8+ct+QlGprtElzQAQeHcrhIfebnXcnv3n\n0f/+NjWOu7rV70BBfWZGjsrmSXNOTg4AoEuXLiZ9nTt3NhrjqI4cPY7Pv/wN85N/lj32lSs6tO1y\nG9rccZvssc/9cQknT11CwP3/a9JXWFSCDf9b93U7e+4qvFt5IuCeDvWZolkFl67CzcMFru4ussfW\nFZUAQsDDW/5yovKyChzZewqTn/5BlniX/76G9H3njNp2f/VveHk1rqejX3/vMM6cLVYk9oVLOtzf\nuzVC7mkme+wFL/+EA3m/Y17a6mrHlFaU4a19pj9f1hSX6bH7TWDX3nPWB9fS7zl/o6RYmaM6NTmZ\n8PB2xx092soeW1d0DWdPXsQruzfKGnfv6UN4ZfdGeLiqMeu+UbLGrqJSSYrVwCa8ckCRuOR4ivQ6\nfPqr/B9qD+c3nhzP5klzYWEhAMDb2/RTblVbQYFjf+T7u7AAQgKEAnf5Wvp448HHemPQ+Htlj71r\naxa2vKLBNTN/dS8XEq4JVZ1jt/T1xn1R3TAliXfhquiKrmFu1EpcKpZnlxV9KSCK/7t4/1wowpV/\nShRJmlevP4ri4jLZ4wLA9z+chYubM5wV+Pm5WlCKvT/lIyJc/iTO2cUJzq5OcFZX/3NSXizB2bP2\nP0fSZcBV7YJfT12tzxTNKi0FykU5nvte/nKYopJi3BXcCfGbpsoe+/jPp7Hs0Q1ILfpO1rh5pUW4\nfP40fv39CvRlJbLGBgB9WQnKFSydunatApt/0eBWD/m3K7pY/A9aqb3h7e4lf+x/ruLX367AU209\njTl3XoeDh2pW/wwAp/8qQku3a/WZXrVKysrw19mryMlVJq8pLCrFLc3dZI9brCtDhcs1vJS1UvbY\nOn257DGVIgkhlPtprIHIyEhs374dOTk5uOMO471zy8rK4Obmht69e+PHH/+7fZkkSbDxtGX1yKMT\n4B1Yiv6jHefBuU9f12L0c4NsPQ2y4OY1Gn9HPD5dMxBtfT1lf60+w7+BUKimuaKiEi99PkORv0os\nnbQev+zJgaTAFk6VFQLTXhqGwY9U/2d3e/w5SvsoEx/Efw0np7p/KK5OZaVAj96dEbcxWvbYVUnz\nhcMTZI275I2foZIkLFt5CConZe7Ai0qBghPRisRuHrBBkQd0AaC89PoHfBcFHi4uKymvceyK8go4\nOdf8Q7WoFHCFCy68+H2d51edZksHKvIBH6jd96QuKisrUXA8Wva4abv+wohoTaPI62yeNI8aNQqf\nf/45fv75ZwQFGT+wdvnyZdx2220YMmQIvvnmG0O7oyXNgYE9cPjwr7aeBhEREZFNNIa8zublGVW1\nzCdOnDBJmi3VO0tKfTQmIiIiIrqJzZPmfv36Yfny5UhLS8Po0aON+tLSrj/lHB4ebtTeGD6NEBER\nEZHjsHl5RllZGfz9/XHx4kX89NNP6NatGwDg3LlzCAoKgouLC06ePAk3N/kL24mIiIiIasLmSTNw\n/RjtoUOHwsvLC+PHj4erqys++eQTXLp0CZ9//rnDH6NNRERERPbNLpJmANizZw8SExORmZkJAOjV\nqxcWLlyI/v3723ZiRERERNTk1WrPoI0bN2L69OkIDg6Gq6srVCoVdu3aVe34I0eOYPjw4WjZsiW8\nvLwQGhqKzz77zOzY3r17Y+3atXjooYfg7u6Offv24ZlnnsG7775bbfwrV67gqaeeQrt27eDu7o47\n77wTy5YtQ3m5+T3/9Ho95s+fjzvuuANqtRqdOnVCTEwMdDqd2fEVFRV49dVX0bVrV6jVarRt2xYz\nZszA5cuXLXyXbKs2a/T111/jqaeeQmhoKNRqNVQqFTZs2GAxfl5eHiZNmoTWrVvDw8MDgYGBXKNa\nqukaXblyBe+++y6GDh0KPz8/uLu7w8fHB8OHD8fevXurjc81qr/a/BzNnTsX4eHhaNOmDdzd3dGm\nTRv069cPmzZtqvb5C65R/dX299GNnn32WahUKqhUqmq/J1yj+qvNGnXq1MmwJjd/xcfHm72Ga1R/\ndfk5+uabbxAZGYlWrVrBw8MDAQEBmDJlCq5eNd0X3uHWSNRCx44dhSRJwtfXV7Rr105IkiR27dpl\ndmxWVpbw8vISHh4eYurUqSImJkZ07txZSJIk3n77bZPxp0+fFrfffrtwcnIS48aNE7GxsSIoKEhI\nkiTmzJljMr6goEB069ZNSJIkhg4dKubNmyf69u0rJEkSo0ePNhlfVlYm+vfvLyRJEv369RPz5s0T\nDz74oJAkSfTu3VuUlpaaXPPII48ISZJEcHCwiI2NFWPHjhVOTk4iICBA/P3337X51jWY2qxRv379\nhCRJolWrVsLPz09IkiQ2bNhQbWyukTxqukarV68WkiSJDh06iClTpoi4uDgxZswY4eLiIlQqlfj4\n449NruEayaOma1RWVibc3d1Fv379xIwZM8T8+fPF448/Lm6//XYhSZKYNGmSyTVcI3nU5t+6G+3e\nvVs4OTkJLy8voVKpRHFxsckYrpE8arNGHTt2FC1atBCLFi0y+frhhx9MxnON5FHbn6O5c+cKSZLE\nXXfdJWbPni1iY2PFhAkThK+vrzhz5ozRWEdco1olzTt27BB//fWXEEKIF154weI3NzQ0VDg5OQmt\nVmtoKyoqEt26dRMeHh7i3LlzRuPHjRsnJEkS69atM7SVlZWJgQMHCpVKJbKysozGx8bGCkmSREJC\nglH7o48+KiRJEl9++aVR+zvvvCMkSRLR0dFG7fHx8UKSJPHmm28atW/btk1IkiQiIiJEeXm5of2D\nDz4QkiSJ5557zuz7trXarNHu3bvFyZMnhRBCvP3221aTZq6RPGq6Rjt27BDfffedSfvevXuFq6ur\naNGihSgpKTHq4xrJozY/RzevgRBCXL16VXTv3l1IkiR+//13oz6ukTxqs0ZV9Hq9CAgIECNGjDD8\nsjWXNHON5FGbNerYsaPw8/OrcWyukTxqs0abN2+2+F4qKyuN/tsR16hWSfONLH1zjxw5IiRJEpGR\nkSZ9H330kZAkSbz22muGtn/++Ue4uLiIO++802T87t27hSRJ4umnnza0VVRUCB8fH3HLLbeIa9eu\nGY3Py8sTKpVKDBs2zKj93nvvFU5OTiafhHQ6nfD29hY9evQwah89erSQJEns3bvXZE7+/v6iZcuW\noqyszKTPntT0F4kQQqxcudJi0sw1UkZt1uhGkZGRQpIkcfDgQUMb10gZdV2j5557TkjwZ3w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| |
| "text/plain": [ | |
| "<matplotlib.figure.Figure at 0x120e1f950>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| }, | |
| { | |
| "data": { | |
| "image/png": 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YwcHBSvskJCQotKWnp+POnTuwt7dXd4ilEhcXh7i4uEq5l1Ykwr59vDQdAhFV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\nWVmaPn26XnvtNW3evFk1atTQ4MGDlZ+ff1UdLioqUn5+vs6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3V0xMjGrWrKkPP/xQr776\nqsLCwrz2u7ihHhcvq1+/vt577z316tVLjzzyiNavX+86DocOHap//etfmjhxojp06FCi98spMTFR\n7dq1U2ZmpjIyMjR06FB17dpVDRs21IIFCzR16lSPK6wff/yxjh49qlGjRnm8D3/729+0ZMkS3XXX\nXRoyZIiys7O1bNkyffPNN8rJyVH16tVL3DfLspSWlqZPP/1UL7zwgu65554SX8G/9H3dvHmz7rzz\nTv3888/q1q2bevbsqR9//FGffPKJ2rVrp8WLF6t79+6SLhwTn3zyidavX6/U1FTFxcW5tXXmzBkl\nJCTo+++/15133ql7771Xxhjt2bNHS5cuVa9evQJiTD7gcwZAubIsy1iWZSZMmGDGjx/v9RUZGWkc\nDof54YcfXOsNGDDAWJZlxo0bd1XbPXz4sDl16pRH+bfffmvCw8NN9+7d3cp3797t6usrr7zituzl\nl182lmWZyMhIM2TIELdlc+bMMZZlmZEjR7qVp6enG8uyTHx8/GX3+7PPPnPV37hxo7Esy/Ts2dOj\nzwsWLDCWZZlRo0a5yo4ePWqioqJMzZo1zfbt293qb9u2zYSHh5uWLVu6lffv399YlmXq1atn9u7d\n6yo/f/686dChg7Esy3z99ddu69SrV8/Ur1/fo08XL7/0szPmP5/7oEGDTFFRkas8JyfHVKxY0TRp\n0sRrW9629eWXX7r6fejQIbd+9+jRw+tnZsx/3tOuXbu6yp577jljWZZ57733POo7P7NZs2Z53VfL\nskynTp08yocOHWosyzIvvviiMcaY999/31iWZTp37uxRd/z48cayLDNx4kSv23AaO3assSzLpKam\nuspeffVVY1mW+d///V+P+h07djQOh8Ps3LnTY38qVapk1qxZ41b/xRdfNJZlmbS0tGL74bR27Vpj\nWZZ57LHHjDHGDBs2zFiWZd58801XHefPUPv27d3W9fa+njt3zjRs2NCEhoaaDRs2uNU/cOCAiY2N\nNbVr1zYFBQWucud7t379eo/+LV261FiWZZ577jmPZefOnTMnT54s0X4C1xuCMFDOnIHoSq9Lw1T3\n7t2NZVlmxowZHm0eO3bMI1ROmDChxH3q0aOHCQkJMefPn3eVOX+JN2jQwC24GWNMbm6usSzLhIeH\ne4TrwsJCU6lSJZOUlORW7vzlX9z+Xhqeb7nlFhMcHGyOHj3qVp6SkmIsyzJbt251lU2dOtVYlmX+\n/Oc/e93HESNGGMuyTE5OjqvMGYSLC4HTp093Ky9LEA4PD/caQDp06GAcDoc5ffp0ibb1xBNPGMuy\nzDvvvOOx7LvvvjMVKlQwDRo08Fg2cOBAY1mWmTdvnqts69atxrIsc8cdd3jUv9ognJ+fb+Lj443D\n4TDTpk0zlStXNtHR0ebgwYMedUsahN966y1jWZZJSUlxlR09etSEhoaa5s2bu9XdsWOH1+Dt3B9n\neL2Y83jv1atXsf1wujQI//jjjyYyMtLUqFHDHD9+3K3NkgThTz75xFiWZUaPHu11e87je9myZa6y\nkgThMWPGlGh/ALtgaATwK2BZ1mXHvkoXxv+V5ma3n3/+WZMmTZJlWW43zowfP96t3qeffqq3335b\nmzZt0k8//aTz58+79enIkSOKjo52Wyc+Pt7jK9zatWtLkm6++WZVrlzZbZnD4VCtWrW0b98+r31N\nTU3VX/7ylxLtV//+/fXSSy9p3rx5GjJkiKQL4x5XrFihli1bqlmzZq66GzdulCRt2bJFEyZM8GjL\nOUZ4+/btaty4sduyVq1aedSvU6eOpAvvra80atRI4eHhHuU33nijjDH6+eefLzs84WKbN2+WZVlK\nSkryuo3Y2Fjt2bNHJ0+eVJUqVSRJJ06c0Pz581W1alXdf//9rvrNmjVTy5Yt9fXXX2vr1q1q3rx5\nGfbwguDgYM2fP1+tWrXSM888I4fDoYyMDI9jqzScx/XFx2LVqlXVu3dvzZo1Sxs3blSbNm0k/WfM\n8+DBg7225Y/Pu0aNGnrhhRc0ZswY/fGPf9SUKVNKtb7z+N2zZ4/X43fnzp2SLhy/zuERxUlMTFRs\nbKwmT56szZs3q3v37mrXrp3i4+OvOH0jcD0jCAMByjnV0v79+z2WxcXFqaioyPX/derUUV5enlud\nN954QyNHjlS1atWUnJysunXrKiwsTJZlafHixfr2229VUFDg0XZkZKRHmXMMpLdlzuXOG5TKol+/\nfho7dqxmzZrlCsJz585VYWGh+vfv71b3p59+kqRi58W1LEunT5/2KPc2bZtzH4v7g6W0Ljc9XGm3\ndfz4cUn/+YPkUrVr19a+fft07NgxVxCeO3euzpw5o379+ikoKMitfmpqqjZv3qyZM2dq2rRpJerD\nlTRq1EjNmzfXxo0b1aRJEyUnJ5epPedcwjVr1nQrHzJkiGbNmqUZM2aoTZs2Kigo0KxZsxQdHe0W\n+C/mr8975MiReuutt/Tmm2/q6aefLtW6zuN34cKFl61zuePXmypVquirr77S+PHjtXTpUq1YsULS\nhcA+dOhQ/f73v/fpbCRAoODPQCBAtWvXTpJcN2+Vxvnz5zVhwgTVrl1b2dnZ+uijjzRlyhSNHz9e\n48aNU61atXzdXZ+IjY1VUlKSvv76a9cV3VmzZikoKEiPPPKIW11nKP/nP/+poqIir6/CwkI99thj\n13w/fM25r5f+sePkLL/4DxXnHwhvv/22x4NMnnnmGUkXwnJ+fr5rHeeVw4u/OXA6duxYsX2cPHmy\nNm7cqJo1a2rbtm367//+75Lunldr166VJI+5ev/rv/5LLVu21IIFC3Ts2DHXTXIDBgzwuGHU34KD\ng/WHP/xBBQUFGjNmTKnmk3Z+VkuXLi32+B07dmyJ24yNjdW7776rw4cPa9u2bXrzzTdVvXp1TZo0\nyTXjBGA3BGEgQPXs2VNRUVH68ssvtWbNmlKte+TIER0/flxt27b1+Hr61KlTrq/af41SU1MlXZhy\nasuWLdq6dau6d+/ucWe/82txfz9lq0KFCj69Snw1WrZsKWOM12nqdu3apX379ql+/fqumRQ2bdqk\nLVu2KDY2Vk888YTX12233aZjx45pwYIFrraqVq0qSV6fknfpdF4X+/LLLzVu3Djdeuut2rZtm265\n5RaNHz9eWVlZV7W/a9as0ZdffqmwsDCvV3mHDh2q/Px8zZ49WzNnzpTD4dCTTz55Vdsqq8cee0wt\nWrTQRx99VOx7dKmrOX6dQb8kx2OTJk00bNgwrVq1SpK0ZMmSEm8HuJ4QhIEAFRER4ZpO66GHHtKn\nn37qtd6ZM2c8hiXUqlVLYWFh2rRpk9tXq+fOndOzzz7r+lr21+iBBx5QRESEPvjgA9d8u85wfLEB\nAwYoKipKEydO1DfffOOxvKioqMzzG0tS9erVdfjwYbcrp9eac+7cP/zhDzpy5IirvLCwUKNGjZIx\nRo8//rir3Dlm9tlnn9XMmTO9vpzzTl88p/Dtt98uh8OhDz/8UL/88our/OjRoxo9erTXvv3888/q\n06ePKlWqpHnz5qlmzZqaP3++KlasqEceeaRUY3CNMcrIyFCvXr1kWZYmTpzo9duLPn36KCoqSmlp\nadqwYYOSk5M9phO7WidOnNCOHTtc8xeXxKuvvipjjOshICVx7733qmHDhpo+fbqWL1/utc7GjRvd\nPgfnH4M//PCDR92cnBwdOnTIo9y5HyUZiw5cjxgQBAQI4+VpUf369VNBQYGeeeYZ9ejRQ40bN1bb\ntm1Vq1YtnTp1Svv27dPKlSt1+vRpdezY0bWe8+vvyZMnq3nz5rrnnnt09uxZrV27VseOHVOnTp1c\nXz372//93/95vRlIujAG8tIb/EJCQtSrVy+99957euutt1SjRg2lpKR4rFutWjUtWrRI999/v1q3\nbq3OnTurSZMmsixLe/fu1caNG/Xzzz/rzJkzZep/ly5dtGnTJnXr1k3t27dXcHCw4uPj3eY69vbZ\n+VKbNm00evRopaWlqVmzZurZs6fCwsK0fPlyZWdnq3379nr++eclXbji/9FHHykoKMhjXPXFkpKS\n1KBBA3355ZfKyclRkyZNXA8jmTNnjuLj43XXXXfpxIkTWr58uTp27KgtW7Z4tDNw4EDt3btX06ZN\nc81Lfdttt+lPf/qThg0bptTUVK9XI9euXesa5/7LL7+4HrG8Z88ehYSEaMqUKfrtb3/rte+hoaHq\n37+/3njjDUnSU089Vbo3tBgZGRkaOHCg+vfvr/T09BKt06lTJ911112uh72U5HioWLGiMjIy1LVr\nV6WkpKht27b6zW9+o7CwMO3du1fffPONdu/erYMHDyo0NFTShc/M4XDoxRdf1NatW1W1alVZlqWX\nXnpJK1eu1PPPP6+2bduqUaNGrhtYlyxZogoVKriOD8B2ymu6CgAXOKcKK05cXJzXKbic9u3bZ156\n6SVzxx13mGrVqplKlSqZqKgoEx8fb4YMGeIxD6kxF+aYfe2110yTJk1MaGioqV27tunXr5/Jzc01\nqampHttzTv00YMCAy+6Ht6mznP2/dNov51yyDoej2CnUvMnMzHQtf+aZZ7zWcdqzZ48ZNmyYadSo\nkQkJCTGRkZGmcePGpl+/fmbJkiVudb3tt5NzeqxLp/U6ffq0GTJkiKlTp46pWLGicTgcbu/R5T67\n4t6vy/XD2/t4sXnz5pl27dqZKlWqmJCQENOsWTPzyiuvuM01O3PmTGNZlnnwwQcv247TK6+8YhwO\nhxkxYoSrrKCgwDz//POmTp06JigoyDRq1MhMnjzZnD9/3mOf3nzzTWNZlrnvvvu8tv/AAw8Yh8Nh\npk6d6iqbMGGC23HhcDhMlSpVTFxcnElJSTFpaWnmwIEDV+z7P//5T2NZlomNjTW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| |
| "text/plain": [ | |
| "<matplotlib.figure.Figure at 0x12185b250>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| }, | |
| { | |
| "data": { | |
| "image/png": 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HoaGhsvcRyB1z7ubmhm+//RZ2dnbw9/fHuHHj4OTkhD179qj8nJEqSZKwYsUK5OTkICws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\nxbWXV+alq8q7ll/heZyBTy1PdXygjRqGlHxHhW93HlVoz+AbWuPbnUe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| |
| "text/plain": [ | |
| "<matplotlib.figure.Figure at 0x12117d8d0>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| }, | |
| { | |
| "data": { | |
| "image/png": 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RERFp3o8//ojLly+jWjWde+yrQkpPT4eTkxM2b96MadOmydqDgoJw8+ZN9OzZ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| |
| "text/plain": [ | |
| "<matplotlib.figure.Figure at 0x120f8ed90>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| }, | |
| { | |
| "data": { | |
| "image/png": 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tYcOGGo+vSVJLRERE2vfixQusXbsWK1aswM8//ww3Nzd9h2TUrl+/jh49emDE\niBGIiIiAqakpACAzMxNjxoxBUFAQxo8fL+9/9OhRbN++XaFtypQp2Lp1KzZu3IjAwMBqiVvTycPy\nZokNovxAVkt75coVpWPl1dsSERGRcfn666+Rnp6OunUNYl7N6OXm5sLJyQnR0dGYNWuWvD0iIgKX\nL1/GgAEDFPo7OjoqJLRAaaJYp04dxMXFVUvMumIQSW2fPn0AlP728CpZG3+TIyIiMn5z5sxBXFwc\nGjRooO9QagRnZ2ccOnQIgwYNwpYtW5CTk4NHjx4hNjYW48aNQ9OmTRX6u7q6Ko1ha2sLOzs7XLx4\nsbrC1olqTWqlUqnKdk9PT9jZ2SE+Ph4ZGRny9uzsbKxbtw4tW7aEt7d3dYVJREREOmJmZqbvEGoc\ngUCAiIgIFBcXIy4uDps2bUJBQYHCzK1M8+bNVY7RokULFBYWoqioSNfh6ozO5v43b96MkydPAgBS\nU1MBAOHh4YiJiQEATJ06Vf7bgomJCaKjozF48GC4urpi7NixMDU1xe7du5Gbm4s9e/ZU6X8CdTW1\nfBiMiMj45ObmIjw8HJmZmZg6dWq526gT1RYODg5wcXHBmTNnkJqaCpFIhM6dOyv1u3//vsrz7927\nB1NTU6UHxfRB04fIdJbUpqSkIDY2Vv6EnEAgQEJCAqRSKQQCATw8PBSmwL28vCAWixEaGiqv6XBx\nccHixYurnHjyQTEiepVQqNmNKoFAgOLiYi1HQxX19OlT9O7dG1OnTsW5c+ewdetWJrVE/1/37t2x\nceNGFBcXIyIiQmWflJQUpbZbt27h77//hrOzs65DrJDyJh3Le1BMZ0ltTEyMfFa2olxdXVXW1RIR\naZufnx+2bjXMnXxIvfDwcBQVFWH27Nmws7ODi4uLvkOi/+/mzZtwcnJSe3zYsGHYvHlzNUZU+3Tq\n1AnFxcWwt7fH0KFDVfbJzMxEXFwcfHx85G0hISEoKSlReoDM2PDRQyKqda5cuWJwK6rcu3cPTZo0\n4RPh5Xj58iW+++47TJ06FQDkW6dXxbNnz3D79m297JJkTJ95cXExfv/9d7z77rtq+7Ru3VrtrW2q\nHi1btgQABAQEqF1L1tPTE1OmTMGBAwfg4OAAiUSCU6dO4b333oO/v391hqt1hv9/EhGRlm3fvh3T\npk3TdxgASm/7rVy5Elu2bEFmZibs7OyU+hw5cgTLli3DhQsXYG5uDi8vL6xYsQJvvPEGAGDhwoVY\nsWJFha4OO4H0AAAgAElEQVTXpUsXnD9//rX9Ll26hE6dOsHNza3c2rbRo0fjxx9/hFgs1vkqNWfO\nnMGDBw/Qv39/AKWlZUuWLMGBAwc0fpi4efPmGD16dKXvLFZFRT7z8s5duHAhEhMT8eTJE/Tq1Qtr\n1qxBhw4d1J7zzz//wMXFBRMmTEBISEi54z958gSffPIJDhw4gMaNG2P06NFYtGgRRo0ahUuXLuH6\n9esVjtUQWdjX7LszsrKqYcOGqe3j6uqKuXPnIjg4GAcPHoSFhQWmT5+O8PBwo/gFqzzGHT0RUSUV\nFxfj1q1bsLW11XcoWLRoEb7++msAUPvE8e7duzF27Fj06NEDYWFhuH37NtavX4+0tDSkpaVBKBSi\nT58+Ssv2bNiwAdeuXcPy5cvli7EDQP369SsUm6OjI/r374+EhARkZGSgY8eOSn1ycnKwd+9edOvW\nrVqWXTx27BjMzMzQo0cPhfaq7G70/PlzpfPPnz+Pxo0bo02bNhqPq05FPnN1srKy0KNHD5SUlGDG\njBkwNzdHZGQkevbsiTNnzqicbZZKpfDx8cG1a9cq9D4tWLAAO3bsQFBQEOrWrYtNmzZh8uTJyM/P\n18ouUvqkbgWmmkT2M1WnTh2lYyKRCCUlJfLv+/btW+5Yz58/B6C4WoWqNkPCpJaIapWEhAR4eXnp\nOwwApTWIO3bswIULF7BkyRKl4y9evMBnn32GQYMG4cCBA/KkwtLSEiEhIcjIyMA777yD/v37y2cv\nZfbv34/r168jMDCwwonsq2bNmoWEhARERkYiMjJS6fimTZvw8uVLlcsG6cLx48fRvXt3hSRd2/74\n4w94eHjg559/1klS+7rPvDyBgYHIy8tDWloa2rVrBwAYP348OnfujBkzZiApKUnpnNDQUPzyyy8V\nvsb+/fvRv39/+cz/l19+WakYK8PYZ30NUWFhodbGkm1+VXYCQFWbIakVSS2X9CKqfYqKinDnzh2l\nxOTnn3/GunXr9BSVou+//x4AcOHCBZXHzczM8Ouvv8LMzExhluzhw4eoU6eO0uystg0cOBDt27fH\n9u3bER4eDktLS/mx4uJifPfdd7C2tsbYsWN1GgdQ+nmeOXMGn332mU6v89tvv+Gff/7R2aze6z5z\nde7cuYP9+/dj/Pjx8oQWKK2h9PX1xbfffotLly7B0dFRfuzgwYNYunQpZsyYgY0bN1boOjdv3oSH\nh0elYiPDoY01Zi9cuIDY2FjExMSgfv368PLyUtmmS5ou6WUQO4rpWmhoqMovJrRENdPdu3fh4eGB\nzz//XKH94cOHaNCggcqZvtu3b2PkyJFo3LgxGjdujFGjRuHmzZvlXufp06cV/iooKNDotdja2qJZ\ns2YASutcFy5ciPXr12PhwoXymlpNxcfHw8nJCebm5mjTpg0CAgLw5MkThT6BgYF4+vQpYmNjFdr3\n79+P27dvY/r06WrXtczIyECLFi0wc+bMKsUJAGfPnkV+fr58B0pNnDp1Ch4eHrCwsECrVq0wd+5c\nheNhYWGYNGkSAMDd3R1CoRD79+9XGqc6PvdXnT59GgAwfPhwpWOjRo0CACQnJ8vbrl69Ch8fH3z4\n4YdKr1MVPz8/eT3m999/D6FQCHt7e4U+xcXFiIyMRKdOnVC/fn106NAB69ev1/g1kfZ17twZHh4e\nVVprNi0tDVFRUWjXrh0OHz6M5s2b49y5c0ptuiQSidTmbuWpFTO1RFS75OXlISwsDN7e3nj06BEa\nN24MoDSJU7dkjY+PD65evYovv/wS+fn52LJlC1asWIENGzaovY6VlVWFYxKJRApJR2WtXr0aQUFB\nAICOHTti4sSJGo8FlC6NtWDBAnz44YeYPHky7ty5g8jISGRlZWHfvn3yfr6+vli0aBE2bNiATz75\nRN6+YcMGmJmZlfu09KNHj5Cbm4u//vqrSrECpaUHdevWRc+ePTU6//Dhwxg2bBjatGmD+fPno6Sk\nRCkhe/PNNzFx4kTExMQgKCgIb7/9Nrp27ao0VnV+7jJZWVkAoLIkQtYme5/z8/MxcuRItG7dGtu2\nbcO9e/deO/7kyZPl6/+6urpi4sSJCjPzQOksbnBwMD755BNYWVlh9+7dCAwMRE5ODpYuXVrVl0ha\n0KVLFyQmJlZpDF9fX/j6+iq0+fn5wc/Pr0rjVgcmtURU47Rv3x7t27eHs7Mzdu7cKU+8fvvtNwQG\nBqo85+zZs/Dz85PPKk6fPh179uwp9zqyXRMromHDhhXuq8r777+PH374AYmJidi6dSvee+89nD59\nGg4ODpUe6+bNm1i8eDHGjh2LNWvWyG+1S6VShIeH486dO/KlgRo0aIDJkydj9erVEIvFEIlEuHz5\nMpKSkuDr61vujI2rqytu376NJk2aaPaiy5BIJHBxcYG5uXmlzy0oKMDEiRPRoUMHnDp1ChYWFgCA\nsWPHKjxc5evrC6lUipiYGHh7e6t9+K06P3cZ2Yyv7Be0smSfwbNnzwCUJqg3b97Eb7/9VuF66t69\ne8uT2nbt2slnrMsSCoVISEiQrw08e/Zs9OjRA1999RUCAwPRokULjV4bkbYwqSWiGsvPzw+bNm2C\nv78/zp07V+7C8IMGDUJ0dDQsLCwQGBgIGxub185MaDprqInevXsDAD766COMGDECgwYNQmhoKLZv\n317psY4cOYKXL19i586d2Llzp8IxgUCA69evy5NaAJg5cya+/fZbREZGQiQSyeszK/KAmLW1daXj\ne1VJSQlOnjyJGTNmaHT+4cOHce/ePWzYsEGe0ALQeK3i6vzcZWQJY15entIxWcJraWmJb775Brt3\n70ZUVBQsLCyQk5MjXzv2yZMnyMnJgZmZmcrk+HVe3ezCxMQEM2bMwNSpU3HmzBm1i/0TVRcmtURU\nY/3rX//CrFmzcOnSJcTHx2PevHlq+27btg02Njb45ptvsHr1anz88cdYtWpVuf/4//PPPxWOpW7d\nugoJVVV4eXmhQ4cOOHfunEbn3717FwAQHR2t8nb2q8t3tWnTBsOGDcO+fftw9epVbNu2DW5ubipv\nzevC+fPn8eTJE43raS9fvgygdLclbdDH5y572vzatWtKv5zJnkiXlRsApXcapk+frtBv9erVWL16\nNebPn49ly5ZVOSYA8rruFy9eaGU8oqpgUktENZaVlRWGDx+O6OhoPH36tNxb5WZmZvj2228xd+5c\neS3trVu3cPjwYbXnVOa2urZqK2WePXuGN998U6NzZasmtGjRQmkpsPj4eJW3rGfNmoU9e/Zg6NCh\nyMvLw+zZszW6tiaOHz8OoVCIXr16aXS+rDY0JycHb7/9try9uLhYo/H08bn36NEDdevWxaFDh/DR\nRx8pHPvPf/4DAOjVqxfef/99pYf9cnJy4OfnBx8fH/j4+OCDDz6ocjwyf/zxBwDoZUc2olcxqSWi\nGs3Pzw8DBw7E3r17y+3n4+OD+Ph4tGzZEuvWrcPff/+tct3PsqqjtvLkyZNKydz333+PrKwsjZe3\n6tu3LwQCAb7++mt4e3vLdxH697//jQkTJqBOnToYM2aMwjm9e/dGt27dkJaWBnt7+3J3LCorOzsb\nzZo1q9LT2BKJBF27dlV6cKmiZCvdREZGKsz2yh4CLLt8l2zptPz8fLXjVcfnnpWVpbDTWKNGjTBy\n5Ej88MMPWLhwobx0Ijs7G9988w2cnZ3h7OyscqwbN24AKC23ePWXmMp4dZmzW7du4auvvoKTk1O5\n2+cSVRcmtURUo/Xt2xfdunV77Taqu3btwt27dzF48GA8fPgQiYmJr53R0nVt5ZUrV+Du7g5nZ2eM\nGjUKUqkUp06dwr59++Du7v7afdrVrbXarl07fPLJJ1i/fj169OiBUaNGIScnB1FRURg4cKBSQisz\na9Ys+cN0FdldKiUlBW5ubhg4cCAOHjz4+hes5jWcOHECH3/8sdo+e/bsQUZGhspj9erVw8yZMzFh\nwgRs374dAwYMwMCBA/H777/Lt8aV7ZIEQL6M1cqVK5GRkYGcnBysWrVKYUxdf+4rV67E/PnzsWrV\nKsyZM0fevmrVKiQmJqJ3797w9/eHUChEVFQUCgsLsXWrbrd/rVu3Lv7++298+OGHcHNzw82bN7Fl\nyxaYmJhoVNdNpAu1Iqnl5gtEtZdQKJTfvi7PwYMHERwcjHnz5sHKygr/+te/5NuZ6ppAIFCZJLZr\n1w579+7F6tWrERYWhqKiIrRr1w7Lly/H559/Xu4+7erGlFm7di0cHBwQFRWFxYsXo0WLFpg+fTqW\nL1+u9pzRo0dj6dKlmDJlSoVeV5MmTdCsWTOFGcfK+uOPP5Cbm6uynlb2+mJiYtQm8L1798bMmTOx\nZcsW2NraIjY2FmKxGI6OjtixYwcWLVqEzp07y/u7ublhxowZiIuLQ0ZGhtZqT1XFru7zeeONN2Bp\naam0DrGdnR1OnTqFefPm4ZtvvoFQKETPnj2xatUqdOjQQSdxymzevBlhYWFISEjAgQMH0Lx5c3z4\n4YcICQlB69atdXptqn003XxBIK3hmyELBIJasd/zq6Kjo/Hr1sNY21+7dW+DfgxC6MZVcHd31+q4\nRESqREZGIjAwEPfv39fK0mBEZNzKy+tqxY5iRERknCQSCTp27MiElohei0ktEREZLIlEwjIxomoi\nFoshFAoRFhamk/66VitqaomIyPikp6fj7t27GD58uL5DoRqgIg836ouhlUlW9r0ylPeWSS0RERmM\n4uJibN++HR9++CF++ukndO7cGX379tV3WFRDzLx6Xd8hKFnf1l7fIWise/fuyMzMRLNmzfQdCgAm\ntUREZEB++eUXTJ48GTY2Nti8ebPSNr5EZDjMzc0NauMN1tQSEZHB6N69O8aOHYv4+Hjs2bOH9bRE\nepKYmIiePXuiQYMGsLGxgb+/P/Ly8hT6sKaWiIhIjRYtWiAuLk7fYRDVaikpKVi+fDmGDx8Od3d3\nSCQSREVFITU1FSkpKUo7BLKmloiM1pMnT1BSUqLVMZ89e4YLFy5UaTtVdezt7fHWW29pfVwiIn27\nfv06evTogREjRiAiIgKmpqYAgMzMTIwZMwZBQUHo2bPna/uMHz9ePubRo0exfft2hbYpU6Zg69at\n2LhxIwIDA6v3RVYQk1oiqjS3nr1w5epV1HnNLl2V8Tj/KQBA1OE9rY0JANfv38bH/pOxZMkSrY5L\nRGQIcnNz4eTkhOjoaADAxo0bAQARERG4fPkyBgwYgBs3bry2T1mOjo4KCS0AhIWF4fvvv0dcXByT\nWqped+7cwbGrqfB7qt1/yCV/puLixYvcUayWk74sQYLPt3jXpp2+Q3mt5ZLv9R0CEZHOODs749Ch\nQxgyZAi2bNmCkJAQmJmZITY2FuPGjUPTpk3RtGnT1/Ypy9XVVek6tra2sLOzw8WLF6vrpVUak9oa\n6tmzZxBaPUP9d7K1Om6j26ZITU3V6phERESkOYFAgIiICLRv3x5xcXEoKSlBQUEBZs2aVak+Ms2b\nN1d5nRYtWuDGjRsoKirSSalYVTGpraHatWuHPj1bY+0y7d7KPf/7Pa2OR0RERFXn4OAAFxcXnDlz\nBqmpqRCJROjcuXOl+wDA/fv3VV7j3r17MDU1NciEFuCSXkREREQ1Qvfu3bFv3z5kZWWpnIGtaJ+U\nlBSltlu3buHvv/9Gly5dtBqzNjGpJSIiIqoBOnXqhOLiYtjb22Po0KEa98nMzFRaWi8kJAQlJSVK\nD5AZklpRfhAaGqqyXSQScWFvIiIiqhFatmwJAAgICFC7dmxF+nh6emLKlCk4cOAAHBwcIJFIcOrU\nKbz33nvw9/fXTfBliMViiMXiSp9Xq5NaIiIiqj3Wt7XXdwg6Jfz/yywOGzasSn1cXV0xd+5cBAcH\n4+DBg7CwsMD06dMRHh6OunV1nzqWN+lY3u5ltSKpJSIiotpNKpXqOwSdKyoqAgDUqVNHoz4ikUhh\nY52+ffuWe73nz58DAMzMzCodqy6wppaIiIioBigsLNRKn4q6evUqgNI1bA0BZ2qJiIiIagDZLGxV\n+7zOhQsXEBsbi5iYGNSvXx9eXl5VHlMbjHKm9osvvsA777yDhg0bwtbWFlOmTEFubq6+wyIiIiLS\nm86dO8PDw6PcdWQr0ud10tLSEBUVhXbt2uHw4cNqN2uobkaZ1NatWxfx8fHIzc3F+fPncfPmTfj5\n+ek7LCIiIiK96dKlCxITE/HGG29Uqc/r+Pr64unTpzhz5gx69+6t8TjaZpTlB8uWLZP/uXnz5ggI\nCDDoddOIiIiISLeMMql9VVJSErp27arvMIjIQGVnZyMtLU3r4zo6OqJevXpaH5eIiCrP6JPaH374\nAVu2bIFEItF3KERkgKwbNMaho4cx8ehJrY576c41nE8/D0dHR62Oqwtll+jRNoFAoHYBdyKi6qSz\npHb79u2QSCRITU3FH3/8gZcvX+LYsWPo06eP2nNOnjyJsLAw/Prrr5BKpXBxcUFwcDDc3d1V9t+1\naxf8/f1x4MABztQSkUqTnYdisrPqrSCrwnnrJK2PqSsL5i/AylUrtZ58SqVSXLt2Dfb2NXtBeyIy\nDjpLaoODg5GVlQVra2tYW1vj9u3b5f6FeuTIEXh7e8PKygo+Pj4wMzPDrl270K9fP+zduxdDhgxR\n6L9lyxbMnTsXhw4dQo8ePXT1MoiIaoRQ9ymY46rdZw86feej1fGIiKpCZ6sfxMTE4ObNm8jOzsbo\n0aPL7VtYWIhp06ahXr16SElJQWRkJNasWYNz586hWbNmmD59unzXCgBYu3Yt5s2bh6NHjzKhJSIi\nIiLdJbXu7u4V3mEiMTERWVlZGD9+vEJ9mo2NDQICApCdnY1ffvlF3j579mw8fvwYffr0gaWlJSwt\nLWFlZYVbt25p/XUQERERkeEziHVqZQ959evXT+mYrK3sg2AlJSV48eIFnjx5Iv96/PgxWrVqVT0B\nExEREZFBMYikVrZ3cNu2bZWOOTg4KPQhIiIiosoRi8UQCoUICwsziP66YBBLej1+/BgAYGVlpXRM\n1paXl6fx+KGhoZU+RyQSQSQSaXxNIiIiMhyGvPScVCqttmtV9n3QVX+xWAyxWFypsV/HIJJaXdMk\nqSUiIqKaZfffy17fqZqNbrNQ3yFoRffu3ZGZmYlmzZpVqL+mk4flzQQbRFIrm42VzdiWJWtr2LBh\ntcZERERERBVjbm6O9u3b6zUGg0hqZbW0V65cUdpEobx6W1LvwoUL2PVLFn5OztbquE8eP4e55WWt\njklERETVJzExEYsXL0Z6ejosLS0xcuRIrFixQu0EYkX6i8VieHh4ICQkBCEhIdX1UhQYRFLbp08f\nrFq1CkePHsWoUaMUjh09ehQA4Obmpo/QjJadnR1sunZDl8n/p9Vxjy2aj/z8fK2OSURERNUjJSUF\ny5cvx/Dhw+Hu7g6JRIKoqCikpqYiJSUFJiYmVeqvz9rlak1q1RVCe3p6ws7ODvHx8Zg9ezY6duwI\nAMjOzsa6devQsmVLeHt7a3xddTW1NflhsEaNGsHqjZZopeXNKUwaNNDqeERERKS569evo0ePHhgx\nYgQiIiJgamoKAMjMzMSYMWMQFBSE8eP/t5vg0aNHsX37doW2KVOmYOvWrdi4cSMCAwMVxq9sf23Q\n9CEynSW1mzdvxsmTJwEAqampAIDw8HDExMQAAKZOnQpXV1cAgImJCaKjozF48GC4urpi7NixMDU1\nxe7du5Gbm4s9e/bAzMxM41hq44Nit2/fxo2TJ/A04BOtjvsgIwOW3OediIjIIOTm5sLJyQnR0dEA\ngI0bNwIAIiIicPnyZQwYMEChv6Ojo0KCCpQ+fPX9998jLi5OKUmtbH9tKG/SUS8PiqWkpCA2NlY+\nDS0QCJCQkACpVAqBQAAPDw95UgsAXl5eEIvFCA0NRVxcHADAxcUFixcvrrGzqbpUUFCA+ibP0abR\nA62Om9PIHE+fPtXqmERERKQZZ2dnHDp0CEOGDMGWLVsQEhICMzMzxMbGYty4cWjatKlC/7K5l4yt\nrS3s7Oxw8eJFpWOV7a9POktqY2Ji5LOyFeXq6iqvoaWqadu2LTr3aItJywdrddy/0m/i2f2XWh2T\niIiINCcQCBAREYH27dsjLi4OJSUlKCgowKxZs5T6Nm/eXOUYLVq0wI0bN1BUVKRQJ1vZ/vpkEA+K\nEREREZHmHBwc4OLigjNnziA1NRUikQidO3dW6nf//n2V59+7dw+mpqZKCWpl++uTQWyTS0RERERV\n0717d+zbtw9ZWVkqZ2mB0vLQV926dQt///03unTpUuX++sSkloiIiKgG6NSpE4qLi2Fvb4+hQ4eq\n7JOZmSl/dkkmJCQEJSUlSg+EadJfn2pF+UFtXNKLiIiIapeWLVsCAAICAtSuF+vp6YkpU6bgwIED\ncHBwgEQiwalTp/Dee+/B39+/yv21weCW9DIktXFJLyIiIqpdhMLSG/DDhg1T28fV1RVz585FcHAw\nDh48CAsLC0yfPh3h4eGoW1c5Laxsf20wuCW9iIiIiAzJ6DYL9R2CThUVFQEA6tSpo3RMJBKhpKRE\n/n3fvn3LHauy/Z8/fw4AVdpXoKqY1BIREVGNp25X05qksLBQb9e+evUqgNI1bPWFSS0RERFRDSCb\nqa1OFy5cQGxsLGJiYlC/fn14eXlVewwyXP2AiIiIqAbo3LkzPDw8qnXt2LS0NERFRaFdu3Y4fPiw\n2s0aqgNnaomIiIhqgC5duiAxMbFar+nr6wtfX99qvaY6nKklIiIiIqPHpJaIiIiIjF6tKD/g5gtE\nRERExoGbL5SDmy8QERERGQdNN19g+QERERERGT0mtURERERk9JjUEhEREZHRY1JLREREREaPSS0R\nERERGT0mtURkNPKLniM46TsM2xEEx7VjMGxHEIKTvkNB0Qt9h0ZEZPTEYjGEQmG5KwxUpb+u1Yol\nvYjI+OUXPceQuM/x39sZ8rabj+8i6VoqTmWl46DPGpibmOkxQiIyZAKBQN8hqCWVSvUdgoLKvleG\n8t4yqSUio7BCEquQ0Jb139sZWCbZhqV9p1VzVERkTLJHjdJ3CEre+PFHfYdQY7D8gIiMwoW7V8o/\nnnO1miIhIiJDxJlaIjIYy45vw4oT32t0bvL1VFgsdVd5bH5vXyzs41eFyIiIapfExEQsXrwY6enp\nsLS0xMiRI7FixQo0bNhQK/11gUktERmMhX381Cafw3YEIelaqtpzPexdsH/8VzqKjIio9khJScHy\n5csxfPhwuLu7QyKRICoqCqmpqUhJSYGJiUmV+usKyw+IyCh0sW5X/nGbttUUCRGR4bh+/TpsbGww\nY8YMFBYWytszMzPRtWtXxMfHV6hPWUePHsWWLVuwa9cuLFu2DCdOnMCkSZOQmpqKjRs3KsVQ2f66\nwqSWiIzCAjdfdLftqPJYd9uOWOjmV70BEREZgNzcXDg5OSE6OhqzZs2St0dERODy5csYMGBAhfqU\n5ejoiPHjxyu0hYWFoU6dOoiLi1OKobL9dYVJLREZBXMTMxz0WYPZPcbAw94FQGnJweweY7icFxHV\nWs7Ozjh06BAGDRqELVu2ICcnB48ePUJsbCzGjRuHpk2bVqhPWa6urkrXsbW1hZ2dHS5evKh0rLL9\ndaVW1NSGhoaqbBeJRBCJRNUaCxFpztzETL5s17Lj2/jwFxERSteJjYiIQPv27REXF4eSkhIUFBQo\nzMpWpI9M8+bNVV6nRYsWuHHjBoqKihTqZCvb/3XEYjHEYnGF+8vU6qSWiIwXE1oiov9xcHCAi4sL\nzpw5g9TUVIhEInTu3LnSfQDg/v37Kq9x7949mJqaKiWole3/OuVNOpa3exnLD4hI55Yd36bvEIiI\narzu3btj3759yMrKUjkDW9E+KSkpSm23bt3C33//jS5dulS5v64wqSUincgveo7gpO8wbEcQVpz4\nHsN2BCE46TsUFL3Qd2hERDVSp06dUFxcDHt7ewwdOlTjPpmZmUoPeIWEhKCkpETpgTBN+utKrSg/\nIKLqlV/0HEPiPlfY1jbpWiqSrqXiVFY6H+wiItKBli1bAgACAgIgEAg07uPp6YkpU6bgwIEDcHBw\ngEQiwalTp/Dee+/B39+/yv11xSiT2l27diEyMhLp6el4+vQpSkpK9B0SEZWxQhKrkNCW9d/bGVgm\n2SZ/4MvQ8AE0oprrjR9/1HcIOiUUlt6AHzZsWJX6uLq6Yu7cuQgODsbBgwdhYWGB6dOnIzw8HHXr\nKqeOle2vK0aZ1DZp0gQzZ85Efn4+Jk+erO9wiOgVF+5eKf94ztVqiqRi8oueY4UkFhfuXkHStVT8\nevsPdLFuhwVuvpxRJqohpFKpvkPQuaKiIgBAnTp1NOojEokUJgr79u1b7vUq21/XjDKp7d+/PwBo\ntNwDEWnHlrP7sTXtoEbnJl9PhcVSd6X2+b19q32WlKUSRFRTlN0trCp9jJVRJrVEpH+TnYdirffn\nKo8N2xGEpGupas/1sHfB/vFf6Sq0SjHmUgkiorJks7BV7WOsuPoBEWldF+t25R+3aVtNkbyesZVK\nEBGp07lzZ3h4eJS7LmxF+hgrnc3Ubt++HRKJBKmpqfjjjz/w8uVLHDt2DH369FF7zsmTJxEWFoZf\nf/0VUqkULi4uCA4Ohru78m1KIjJcC9x8cSorXeUMaHfbjljo5let8Sw7vg0rTnyv0bnqSiUAYP36\n9YiMjKxKaEREWtOlSxckJiZWuY+x0llSGxwcjKysLFhbW8Pa2hq3b99Wu3QEABw5cgTe3t6wsrKC\nj48PzMzMsGvXLvTr1w979+7FkCFDdBUqEWmZuYkZDvqswTLJNlzIuYrk66nwsHdBF5u2WOjmV+01\nqgv7+Kmt1dW0VMJ56yTMnDlTWyESEVEV6az8ICYmBjdv3kR2djZGjx5dbt/CwkJMmzYN9erVQ0pK\nCiIjI7FmzRqcO3cOzZo1w/Tp0/H8+XN5/5KSEjx//lxe7PzixQs8f/68VjzZSGQszE3MsLTvNHlC\nuKeGsF8AACAASURBVH/8V1jad5rBPXRlTKUSRESkns6SWnd3d9ja2laob2JiIrKysjB+/Hg4OjrK\n221sbBAQEIDs7Gz88ssv8vbY2FjUr18fAwYMgEAggLm5OerXr48TJ05o/XUQUc22wM0X3W07qjym\nj1IJIiLSjEE8KCaRSAAA/fr1Uzoma5P1AQA/Pz+UlJSgpKQExcXF8j+7ublVT8BEVCnze/vqOwS1\nZKUSs3uMgYe9C4DSkoPZPcZwOS8iIiNiEEt6Xb1a+nRx27bKt/kcHBwU+hCR8TH0HbpkpRIAYLHU\n3WCWG3ud0NBQhIaG6jsMIiKDYBBJ7ePHjwEAVlZWSsdkbXl5eRqPr8lf+iKRCCKRSONrEhHpWlhY\nGJNaIj3gL5RVJxaLtb6JlkEktbrGHzwiopqJyQXpgzH8QhkaGoolS5ZALBYbZHmmppOHYWFhao8Z\nRE2tbDZWNmNblqytYcOG1RoTEdVOhlz/CwD5+fmYN28evLy8AABeXl6YN28eCgoK9ByZfpT3DxwR\nVY2fnx+EQiGysrL0HUqFGMRMrayW9sqVK+jatavCsfLqbYmItM2Q63/z8/Ph6emJ06dPy9sSEhKQ\nkJAAiUSCpKQkmJub6zFCIqppyttjwNAYxEytbJexo0ePKh2TtRni1DkRUUVo6zblkiVLFBLask6f\nPq216yw7vk0r4xCR8ZNKpUazD0C1JrXq3hRPT0/Y2dkhPj4eGRn/21YzOzsb69atQ8uWLeHt7V1d\nYRIRaZW2bpGnpaWVe/z8+fNauY6mWwpXF5ZgkD4Y6s/dkydPEBgYCBsbGzRo0AA9e/ZEcnKyyr5F\nRUVYu3YtPD09YWtrCzMzM7Ru3RpTpkzBnTt3FPq++eabiI2NBQDY29tDKBRCKBRi4sSJ8j5bt27F\nkCFDYGdnh3r16sHGxgajR4/Gn3/+qbsXXA6dlR9s3rwZJ0+eBACkppZuQRkeHo6YmBgAwNSpU+Hq\n6goAMDExQXR0NAYPHgxXV1eMHTsWpqam2L17N3Jzc7Fnzx6YmWm+VqS62QuucEBEhiY0NFTjJDgh\nIUHtrcI+b3bDHNfxVQnNILAEg/TBUH/uiouLMWjQIKSkpOCDDz6Au7s7/vrrLwwaNEh+F7yshw8f\n4vPPP4e7uztGjBgBCwsLpKenIyYmBomJiUhLS0Pjxo0BAJ9++im2bduG9PR0zJ49G40aNQIAhTLR\ngIAAODk5YdCgQWjSpAn+/PNP7N27FwkJCTh79izeeustjV6Xpisj6CypTUlJQWxsrPwvWIFAgISE\nBEilUggEAnh4eMiTWqD0Nx6xWIzQ0FDExcUBAFxcXLB48eIqJ56G/oQiEZFMeU/ze3l5ISEhQe25\n/fv3x5EjR5Ta530xD+a/PdRWiHpVkRKMlStXVnNUVNMZ6s/d1q1bkZKSgjFjxmDHjh3y9u3bt8PX\n11fpl9wmTZrg1q1bsLa2VmjftWsXxo0bh8jISCxatAgAMGvWLKSlpcmTWjs7O6XrX7p0San95MmT\ncHd3x/Lly7F582aNXld5k456Wf0gJiZGvuNX2S9Z28cff6x0jqurK44ePYrHjx/j8ePHSE5O5kwq\nERklXdyq7NatW7nHX33QtjLyi54jOOk7DNsRBAAYtiMIwUnfoaDohcZj6kJ1lWAQlWWoP3fx8fEQ\nCoX48ssvFdonTJiADh06KJV9mpqaKiW0ADB69GhYWVmpLVtQR1Wi26tXL3Ts2BFJSUmVGksbDGL1\nAyIiXRm2IwiSm+e0Pm5JiRTJyclwdHRUOqarW5UhISGQSCQqZ4x69Oih8V2p/KLnGBL3Of57+3/P\nNCRdS0XStVScykqv9u2CdVWCERISwjt39Fqa/Pyp+7nT9c/chQsX0KJFC/nuq2X16NEDmZmZSu3/\n/e9/sWrVKpw+fRoPHjzAy5cv5ceys7Mrdf3MzEwsW7YMx48fx927d1FUVCQ/VpWyUU0xqSWiGq2w\n+CUCJndC0Ceaz2Kq0tXjJxQXF6s8pqtblebm5khKSkJoaCjOnz+PhIQE9O/fH127/j/27j0u6ir/\nH/jrDPc7eAPFVLxjakBWGopAomvobpmXXG9oomY3bQ11XWSw1tuW6yUrTCNRCy11q6+WeEME3W3V\ntPKS18ILeUNFRUSG8/uj38w6zYAwfIaZD/N6Ph7z2Pac9+c9Z+YzyJvPnM85YdBqtRbP6ZuTk2FU\n0N7vP+eP4O85Hxu2Ea4N1piCQVRV5j5/9vq5KyoqwkMPPWS2r1GjRiZtu3btQlxcHFxdXfGHP/wB\nrVq1gpeXF6SUWLhwIe7erfo3M8eOHcPjjz+OkpIS9O7dG6GhofD29oYQAunp6TZZ25ZFLRHVea6u\nTvDxdlE0p0ZT8dqN1vyq0sPDw1AQCyEU+UX6/cUTlff/erLGz6GU8PDwSouLmkzBIKqIvX7ufH19\ncfnyZbN9ly5dMmmbN28edDodduzYgccff9yob/78+dV67sWLF+PWrVvIzMzE4MGDjfo+/fTTauVS\nikMUtVz9gIis4euvv8Zrr71W7eNs8RX5zjP7od1p2U0bO87sg/dbMWb7Fi5ciEWLFtVkaNVirSkY\nRJWx18/dI488gpycHJw8edJokyopJfbs2WMSf/r0adSvX9+koD148KDZ+f5OTk4AYPZbqdOnT0MI\ngX79+hm1X7p0CadPn7bo9ejZ3eoH9oT/yBGRNfTt2xdff/21Sbs9flUZE/IoNg1fYLbvT5+8ge2n\n91V4bGxIF3w57B8m7Q8vG45JkyYpNsaqsNYUDKLK2OvnbtiwYdi1axeSk5ONro6uWrUKP/30k8kf\nz82aNcOJEydw/PhxtG3bFgBw69atCn+O69WrBwA4d+4cQkJCTHJJKZGXl4e4uDgAv62D+9prr+He\nvXs12onM0tUPHKKoJSKqTfb6VWVFOge2qbSo7RxkX9uUW2MKBtGD2OPnbsyYMcjIyMDatWvx888/\nIzo6GqdPn8YXX3yBuLg4k51aJ0yYgG3btiEyMhKDBw+GlBLffPMNAgMD0aRJE5PVEmJjY/HOO+9g\n3LhxePbZZ+Hp6YmwsDD069cPiYmJ+OijjzBgwAA8//zz8PLywvbt23Hnzh088sgjOHToUG2+FQDs\nZJtcIqK6JCUlBd26dTPbZ49fkf81ahSeCO5gtu+J4A6YEZVQuwMioirRaDTYvHkzXn75ZZw+fRqL\nFy/GuXPn8PXXX+PJJ580uVo6YMAArFq1Ck2aNEF6ejq++uor9OvXD1lZWXBxcTGJ79u3L2bPno17\n9+7h7bffRkpKCjZs2AAAeOyxx7Bp0yZ06NABmZmZyMzMREREBPLy8uDv71+jK7WW4pVaIiKF1dZX\nlSkpKYrk8XBxw/8NX4C/53yM7389iR1n9iE2pAs6B7XGjKiEWl3Oi4iqx9vbG4sXL8bixYuN2mNi\nYsz+GzFs2DAMG2a6u+CZM2fM5p82bRqmTZtmtq9Pnz6Gtbjvt3PnzqoMXXEsaomIrKA2vqpU8oqv\nh4ubYdku77dizM6hJSKyZ5x+QEQG9va1OBERUVWxqCUiA0t3cSIiciRKTf0hZbGoJSIi1WJxQbbA\nb7XsE4taIiJSLRYXRKTnEDeKcUcxIiIiInXgjmKV4F/yREREROpg6Y5inH5A5OCKi4sxbdo0w1qD\nffr0wbRp08zuA06WUdu8z+k9Rtl6CERE1cailsiBFRcXo1evXpg3b55hW9esrCzMmzcPTz31FAtb\nhajt26IZPRNsPQSqBrV9vkhd1PT5YlFL5MBmzZqFvXv3mu3bu3evqv4xI3JUXIqPrElNny8WtUQO\n7Lvvvqu0/+DBg7U0EiIiopphUUtUx2m1WgghzD70Uw4qkpWVZfa4Q8d+xIr9X9bSKyAiInowFrVE\ndZxWq4WU0uyjd+/elR7bu3dvs8c90r4jXnj0j7X0CoiIiB6MRS2RAwsPD6+0PywsrJZGQkREVDMs\naokcWEpKCrp162a2r1u3brxRjIiIVMMhNl9wREVFRTh36hKyPz+gaN6zJy7Bz8dP0ZxkOx4eHti+\nfTu0Wi0OHjyIrKws9O7dG2FhYdBqtfDw8Ki1saQf+D9M3vkeNM7K/7N0OKMUf5scoXheIiKyHyxq\n66hTp04hf38+th69omheJ51ESUmJojnJtjw8PDBv3jwAgBACW7Zssck4LhRdhpOrK/6w+F1F8x7b\nuAHHv/wCfu1WK5q3XKfD999/r2hOIiKyHIvaOio8PBzFrVphfqdOiuaN27oVp0tLFc1J1iOEgJNz\n9WYZObs4PTBGSolpxe/h65H/tHRoJs5cv4DyktvY9up4xXICQOnde9BoBHzr+yia9/a1IhQUFCia\nkwgABg8ejM8++6xaxwghqhQXEhKC06dPWzIsciDFxcWYNWuWYdnHPn36IDw8HCkpKbX6DV51sagl\nquPaRDyER58KrVLsmjnf4Pk3Kl8RAQD+9d4u6GR5TYdm5F65Du5erkj9bJyieS/lF0JKWeVf+lX1\n7uTP+K0FWcXu3bvhU88TUQPM38ipK9Ph35t/xPVLt0z6/Bt5o+vTHeHkbPrH6cHs4zhz8ozi46W6\nRb/T5P0b82RlZSErKws5OTnYvn273Ra2LGqJ6rhWnZvijxN6VCl2zZxvqhS7dfV/oGyJ+BsnZycE\nt26oaE6l8+m5uPGfT7KegEBfjEx+2mzfmrlbzBa0AHD90i24urtg2PQ/mPTdvFaM8ycvKzpOqnuq\nstOkfsqaveHqB0RERCry8+ELD+jntBiynJp3mnSISw0VLUsUHR2N6OjoWh0LEZEj0mq1qloiztbj\nvX75JoY0n2HRsd/vPmnxsfez9XtA1qPVapGammrRsfqdJs1JSUlR5DOTnZ2N7Ozsah/n0EUtERHV\njtTUVFX9W2zr8fo39MGH+/9qtu/vI9Lxfc7JCo/t3KM1ZqwebdK+9PXPkbO+8qtw97P1e0DWU9kf\nLH369Kl0C/XevXtbfZWcyi46VlaMc/oBERGRirR4uMkD+hvX0kioLlLzTpMsaomIiFRk0KRYtIlo\nZravTUQzDJr8VC2PiOoSNe80qbqitry8HH/9618RFBQEHx8f9O3bF/n5+bYeFhERUa1wdXfBzE/H\n4I8TeqBzj9YAfpty8McJPTDz0zFwdXex8QhJzfQ7TSYlJaF379+WeOzduzeSkpLsejkvQIVzaufP\nn4/MzEzs3r0bTZo0weuvv47+/fvj4MGDiq9DSUREZI/uX7ZrSPMZZufQElnKXnaarC7VXan94IMP\nMHXqVLRp0wZeXl6YP38+jh8/jtzcXFsPjYiIiIhsRFVF7Y0bN5Cfn48uXboY2vz8/NCqVSscOnTI\nhiMjIiIiIltSVVFbVFQEAPD39zdq9/f3N/QRERERkeOxSlG7atUqJCYmIjw8HK6urtBoNNi1a1el\nx+Tm5iIuLg5+fn7w9fVFbGwsdu7caRTj6+sL4Lcrtve7fv26oY+IiIiIHI9Vitrk5GSsWLECv/76\nKwIDAwGg0pu4tmzZgujoaOzfvx/Dhw/H2LFjcezYMcTFxeGrr74yxPn5+aF58+b473//a2i7fv06\nTp48adfrphGpxcBJsbYeAhERkUWsUtSmp6fj7NmzKCgowJAhQyqNLS0txfjx4+Hu7o68vDwsXboU\nCxYswIEDB9CgQQNMmDABJSUlhvgJEybgH//4B06cOIFbt24hKSkJ7du3R/fu3a3xUogcCte3JCIi\ntbJKURsTE4Pg4OAqxW7btg35+fkYNmwYQkNDDe1BQUF45ZVXUFBQgM2bNxvak5KSMHjwYHTv3h1B\nQUE4e/YsvvzyS8VfAxER1UxxcTGmTZuGPn36APht+81p06bhzp07Nh6ZeWobrzXwPSA1s/k6tTk5\nOQCAuLg4k764uDgkJycjJycHAwYMAPDbNIbZs2dj9uzZtTpOIiKquuLiYvTq1Qt79+41tGVlZSEr\nKws5OTl2t4i72sZrDXwPSO1svvrByZMnAQCtW7c26WvVqpVRDBERqcOsWbOMiqP77d271+622lTb\neK2B7wGpnc2LWv1SXOZWL6hotQMiIrJv3333XaX9Bw8erKWRVI3axmsNfA9I7Ww+/aA2WPLXZXR0\nNKKjoxUfCxFRXbJw4UIsXry42sdlZWVVuCpOSkqKVa4KarVapKamWnSsLcZrLZZuKV+X3gOyvezs\nbGRnZyua0+ZFrf5qrLnNE/Rtfn5+NXoO/qAREVnHpEmTsGjRIpP2Pn36ICsrq8LjevfuXev7yWu1\n2gp/H9jjeK1FSmm23ZHeA7I9Sy8eVvaHqc2nH+jn0p44ccKkr7L5tkREZL/Cw8Mr7be3tcXVNl5r\n4HtAamfzorZnz54AgK1bt5r06duioqJqdUxERFQzKSkp6Natm9m+bt262d03aGobrzXwPSC1q7Wi\ntqKvO3r16oVmzZphzZo1OHLkiKG9oKAAS5YsQZMmTRAfH19bwyQiIgV4eHhg+/btSEpKQu/evQH8\n9vV1UlKSXS4NpbbxWgPfA1I7q8ypXb58OXJzcwEA+/btAwDMnTsX6enpAIDExERERkYCAFxcXJCW\nloZ+/fohMjISQ4cOhaurK9auXYvCwkJs2LABbm5uNRpPRX9d8mYwIiLr8fDwwLx58wD8dnOSvc/H\nVNt4rYHvAdkDS28is0pRm5eXh4yMDMNdkkIIZGVlQUoJIQRiY2MNRS3w2+T07OxsaLVarF69GgDQ\npUsXzJw5U5Gik1+ZEBEREalDZRcdK7tRzCpFbXp6uuGqbFVFRkaanVdLRERERPQgNr9RjIiIiIio\npljUEhEREZHqsaglIiIiItVjUUtEREREqmfzbXJrA5f0IiKiumrgpFhbD4HqsJSUlFp/Trta0sve\ncEkvIiKqqwZNfsrWQ6A6zBY1lKVLenH6ARERERGpHotaIiIiIlI9FrVEREREpHosaomIiIhI9VjU\nEhEREZHqsaglIiIiItVjUUtEREREqufQ69Ry8wUiIiIi+8LNFyrBzReIiIiI1IGbLxARERGRw2JR\nS0RERESqx6KWiIiIiFSPRS0RERERqR6LWiIiIiJSPRa1RERERKR6LGqJiIiISPVY1BIRERGR6rGo\nJSIiIiLVY1FLRERERKrHopaIiIiIVI9FLRERERGpnrOtB0BE6pR39nv4zf+DYvl0pXfh38hHsXxE\nRORYWNQSUbUJjQY9Z72J1n3jFct5Nm83/jsnWbF8RETkWByiqNVqtWbbo6OjER0dXatjIaoLhBBw\n8/GFR0CAYjndfHwhhFAsHxERqVN2djays7OrfZxDF7VEREREZF8qu+iYmppa4XG8UYyIiIiIVI9F\nLRERERGpniqL2szMTPTo0QO+vr7QaFT5EoiIiIhIQaqcU1uvXj28/PLLKC4uxgsvvGDr4RARERGR\njamyqO3duzcAWHRnHBERERHVPfzunoiIiIhUz26K2oSEBGg0mgofgwcPtvUQiYiIiMhOVauoXbVq\nFRITExEeHg5XV1doNBrs2rWr0mNyc3MRFxcHPz8/+Pr6IjY2Fjt37jSJW7p0Ka5cuVLhIz09vXqv\njIiIiIgcRrXm1CYnJyM/Px+BgYEIDAzE+fPnK90BaMuWLYiPj4evry+GDx8ONzc3ZGZmIi4uDhs3\nbkT//v0NsV5eXvDy8rL8lRARERGRw6rWldr09HScPXsWBQUFGDJkSKWxpaWlGD9+PNzd3ZGXl4el\nS5diwYIFOHDgABo0aIAJEyagpKTEokGXl5ejpKQEpaWlAIC7d++ipKQEUkqL8hERERGRulWrqI2J\niUFwcHCVYrdt24b8/HwMGzYMoaGhhvagoCC88sorKCgowObNm6s32v8vIyMDnp6e+MMf/gAhBDw8\nPODp6Yndu3dblI+IiIiI1M1qN4rl5OQAAOLi4kz69G36mOpKSEhAeXk5ysvLodPpDP8dFRVl+YCJ\niIiISLWsVtSePHkSANC6dWuTvlatWhnFEBERERHVhNU2XygqKgIA+Pr6mvTp227cuGGtpycisrod\nO3ZA46zsP6MaJyeU3b2raE4iIkegyh3Fqkur1Vb7mOjoaERHRys+FiKqG4RGgz8seQ8tYmIUy3nl\n2FF8mTBSsXxERPYqOztb8Z1hrVbU6q/G6q/Y3k/f5ufnZ62nN2JJUUtEVBkBwMnNFc7u7orldHZz\nUywXEZE9s/TiYWpqaoV9VptTq59Le+LECZO+yubbEhERERFVl9WK2p49ewIAtm7datKnb+NqBURE\nRESkhBoXtRVteNCrVy80a9YMa9aswZEjRwztBQUFWLJkCZo0aYL4+PiaPj0RERERUfXm1C5fvhy5\nubkAgH379gEA5s6di/T0dABAYmIiIiMjAQAuLi5IS0tDv379EBkZiaFDh8LV1RVr165FYWEhNmzY\nALdamj9W0Zxa3gxGRPZGAjh8+LCiOS9cuIBGJTpFcxIRWYulN5FVq6jNy8tDRkYGhBAAACEEsrKy\nIKWEEAKxsbGGohYA+vTpg+zsbGi1WqxevRoA0KVLF8ycObNWi0neKEZEqiAEdHfvolNYmKJppU4H\nSInUpxIVzUtEZA2VXXSs7EaxahW16enphquyVRUZGWl2Xi0RERlr0D4UE48eVzxv3tzZ+H7FCsXz\nEhHZE6vdKEZEREREVFtY1BIRERGR6rGoJSIiIiLVY1FLRERERKpntW1y7QmX9CIiIiJSh1pZ0kut\nuKQXERERkTpYuqQXpx8QERERkeqxqCUiIiIi1XOI6QdERI5OJ8sxJ2elojl/uXQeV69eRUhIiKJ5\niYgswaKWiKiO86jfAJ4NG+KfRzcpm1gIbNiwAV26dFE2LxGRBVjUEhHVcRGJ4xCROE7xvMsfi1A8\nJxGRpTinloiIiIhUj0UtEREREameQ0w/4OYLRMq6ll+IvUlTsDdpiqJ5S3U6RfMREZH6cPOFSnDz\nBSJluTo54e/h4Wjt46NYznO3b2Pcv/+N55vPUCynXvsnWkC7LlHxvEREpDxLN19wiKKWiJTl4uKM\n9r6+6BQQoFjOsIAAnBs4ULF8eguOHMHXsljxvEREZF9Y1BKRXRBCwMkKeXnjABGRY+C/90RERESk\neixqiYiIiEj1OP2AiIgstnnzZpSWllYpdsqUqq2WERgYiDfeeKMmwyIiB8SiloiILOL7UDMcP3cO\nxz/+uErx71UhrvzePehKS1nUElG1saglIiKLDN7wryrHvts6BC/8Z98D4349+B2+HD2qJsMiIgfF\nObVEREREpHq8UktEdd6NK7ewe+NBRXNeLbiB0pu3FM1JRESWY1FLRHVaQ3d3uJ0rxaaZ3yia10kI\nFJ74SdGcRERkORa1RFSnjWzVCiNbtVI8b/hXXymek4iILMc5tURERESkeixqiYiIiEj1WNQSERER\nkeo5xJxarVZrtj06OhrR0dG1OhYiIiIiqlh2djays7OrfZxDF7VERGR/Sm/dhrO7u6I5dXfvAgB8\nfX2rfIyfn1+V4vbs2YOHH37YonERkanKLjqmpqZWeJxDFLVERKQODR/uiDH//o/ieX/6179wbk8e\nhKZqs+6Kdu5AvUe7PDDul5xd2LlzJ4taIjvAopaIiOyGk4sLPOs3UDxv+AtjEf7C2CrHv9s6BP0+\nXPHAuGVhnWoyLCJSEG8UIyIiIiLVU2VRO3XqVHTs2BF+fn4IDg7G2LFjUVhYaOthEREREZGNqHL6\ngbOzM9asWYOOHTuisLAQw4cPR0JCAr788ktbD42IHISzRoNjHy7D8eUfKpq3tLwcicdPKZqTiMgR\nqLKo/fvf/27474YNG+KVV17BsGHDbDgiInI0n/TogdLyckVznrp5E1P27VM0JxGRo1BlUft727dv\nR1hYmK2HQUQOpE01loYiIiLrs5s5tQkJCdBoNBU+Bg8ebPa4devWYcWKFVi0aFEtj5iIiIiI7EW1\nitpVq1YhMTER4eHhcHV1hUajwa5duyo9Jjc3F3FxcfDz84Ovry9iY2Oxc+dOk7ilS5fiypUrFT7S\n09NNjsnMzMSECRPw1Vdf8UotERERkQOr1vSD5ORk5OfnIzAwEIGBgTh//jyEEBXGb9myBfHx8fD1\n9cXw4cPh5uaGzMxMxMXFYePGjejfv78h1svLC15eXlUey4oVK5CUlIRNmzahW7du1XkZREREiiks\nLER+fr5i+e7duwdXuCiWj8hRVKuoTU9PR9u2bREcHIwpU6ZgwYIFFcaWlpZi/PjxcHd3R15eHkJD\nQwEASUlJCAsLw4QJExAXFwd3C7ZCXLx4Md58801s3boVERER1T6eiIhICc7uHtCmpkJbydad1SXL\ny+HVKEixfESOolpFbUxMTJVjt23bhvz8fCQmJhoKWgAICgrCK6+8guTkZGzevBkDBgyozhAAAJMm\nTYKLiwt69uxpaBNC4MiRI2jatGm18xER2YsSnQ4ZoW0VzSkBiMaNMXJH5dPFqPrG/PtbxXMe+vgj\nnP/XR4rnJarrrLb6QU5ODgAgLi7OpC8uLg7JycnIycmxqKgtV3gZHSIie9DMywsfd++ueN5PTp/G\n5vPnFc9LRGRPrFbUnjx5EgDQunVrk75WrVoZxRAREeDj4oLYIOW/ds69eFHxnERE9sZqRW1RUREA\nwNfMWo76ths3bljr6Y1otdpqHxMdHY3o6GjFx0JERETk6LKzs5Gdna1ozjqx+cKDWFLUEhEREZF1\nWHrxMLWSmzKttvmC/mqs/ort/fRtfn5+1np6IiIiInIgVrtSq59Le+LECZONESqbb0tEyjp/4hKO\nfvuzojl1vFmTiIjsjNWK2p49e2L+/PnYunUrBg0aZNS3detWAEBUVJS1np6I/r+ju0/h7L+VWxge\nANyEgKvGbnbZJiIiqnlRK6U0296rVy80a9YMa9aswaRJk9ChQwcAQEFBAZYsWYImTZogPj6+pk9f\nJRXNqeXNYOQIRrVujdRHHrH1MIiIiKrE0pvIqlXULl++HLm5uQCAffv2AQDmzp2L9PR0AEBinjUe\nJQAAIABJREFUYiIiIyMBAC4uLkhLS0O/fv0QGRmJoUOHwtXVFWvXrkVhYSE2bNgANze3ag/YErxR\njIiIiEgdKrvoWNmNYtUqavPy8pCRkQEhBIDfdvHKysqClBJCCMTGxhqKWgDo06cPsrOzodVqsXr1\nagBAly5dMHPmTF4hJSIiIiLFVKuoTU9PN1yVrarIyEjDHFoiIiKyLeHkpGyslPjxhx/w8MMP12BU\nRDXnEOvUEhEROToBwM3XD+GJ46oU/+93/oGuk//ywLj/LFyA06dPs6glm2NRS0RE5ACcnJ3RrEcU\nurw4sUrx/37nH1WK3bd0SU2HRqQIrslDRERERKrnEFdquaQXETk6qdNhw7DnFc8bO2cu/Ju1UDwv\nETmuWlnSS624pBcRObJWPj7oHBAAHD+uaN7D16/j523bETbmBUXzEpFjq5UlvYiISH2GtWyJYS1b\nKp734S++UDwnEZGlOKeWiIiIiFSPV2qJiMhiN3/9FZePHa1SbFXjnN3cERASUpNhEZEDYlFLREQW\n8XVxwZGPP8KRjz+qUvyGP/Z7YIyUEk5CIPH4qZoOj4gcDItaIiKyyN6nn65ybOPPPkP+c889MO7A\n1asYunt3TYZFRA6Kc2qJiIiISPV4pZaIiIgcgqu7O+CsfOmju3cPZ06cQLNmzRTPTVXnEEUtN18g\nIiIiqXFCu/5/RPATXRXNu/Uvk3Hz5k1Fczoybr5QCW6+QERERAAQGBaOtv3/qGjOrW/8RdF8jo6b\nLxAREVGd0L59exw/eRKAUDSvLNcpmo/sC4taIiIisis6nQ4NO3TAs5+sVTy3k4uL4jnJPrCoJSIi\nIrsjNBq4eHjYehikIlzSi4iIiIhUj0UtEREREakei1oiIiIiUj0WtURERESkeixqiYiIiEj1uPoB\nERHVecs6hsJNV701SleGtn1gzD2dDr2WLUeL6BhLh0ZECmFRS0REduXWvXtY3raVojl1UmJI69YY\n0KxZleKf3r4da6OiHhg3MDsbd7k9KpFdYFFLRER2o1NAAA7172+V3J7OzvB0rvqvvfB69R4Y4ySU\n3fGKiCzHopaIiOyGi0aDBu7uth4GEakQi1oiIiKqkTFjxsDf31+xfCdPnkTgI48olo8cA4taIiIi\nslhw124ouVYIJWcWBz7yCBp3eUzBjKT3+uuv49ChQ4rn7dq1K9566y0IG07JcYiiVqvVmm2Pjo5G\ndHR0rY6FiIioLum//CNbD4GqYfH778PNxwcuXt6K5t2xYwfeeustRXJlZ2cjOzu72sc5dFFLRERE\n5Eg0Tk7o/te/oW3/Pyqa993WIYrlquyiY2pqaoXHcfMFIiIiIlI9FrVEREREpHosaomIiIhI9VRX\n1L711lto3bo1/P39Ua9ePfTo0QPbtm2z9bCIiIiIyIZUV9QOGTIE+/fvx/Xr13Hp0iU8++yz6N+/\nP0pKSmw9NCIiIiKyEdWtftCmTRvDf+t0Omg0GgQFBcHFxcWGoyIiIiIiW1JdUQsAmzZtwvDhw3Hj\nxg00a9YMmzdvhpOTk62HRURERKSIv//975g9e7biect1OsVz2gu7KGoTEhKQkZFRYf/AgQOxbt06\nw/+Pj4/HtWvXcO3aNcycORNPP/00Dh8+DC8vr9oYLhEREZFVLV26FOVubmii8M5qQqOBT3BTRXPa\niyoXtatWrUJOTg727duHw4cPo6ysDDt37kTPnj0rPCY3Nxepqan49ttvIaVEly5dkJycjJiYGKO4\npUuXYsGCBRXmcXNzM9seEBCAxYsXY+XKldi+fTv++EdlFxImIiIispV6bdri6ffTbD0M1ahyUZuc\nnIz8/HwEBgYiMDAQ58+fr3R/3y1btiA+Ph6+vr4YPnw43NzckJmZibi4OGzcuBH9+/c3xHp5eVl8\nlVWn00Gn08HHx8ei44mIiIhI/aq8+kF6ejrOnj2LgoICDBkypNLY0tJSjB8/Hu7u7sjLyzNciT1w\n4AAaNGiACRMmWLxaweLFi3Hx4kUAwOXLlzFx4kQEBweja9euFuUjIiIiIvWrclEbExOD4ODgKsVu\n27YN+fn5GDZsGEJDQw3tQUFBeOWVV1BQUIDNmzdXf7QAdu7cibCwMHh7eyMiIgJ37txBVlYWPDw8\nLMpHREREROpnlXVqc3JyAABxcXEmffo2fUx1bdy4EQUFBbh16xbOnj2LVatWoUWLFhaPlYiIiIjU\nzyqrH5w8eRIA0Lp1a5O+Vq1aGcUQERERqV3Hjh0Vz9nkoWaK56zLrFLUFhUVAQB8fX1N+vRtN27c\nsMZTExEREdWqsNFjoCu9p3jeBu3bK56zLrOLdWqtTavVVvuY6OhoREdHKz4WIiIiqlsip0639RBU\nJzs7G9nZ2YrmtEpRq78aq79iez99m5+fnzWe2ixLiloiIiIisg5LLx6mpqZW2GeVolY/l/bEiRMI\nCwsz6qtsvi0REZHa7PzrNOyZo9x2piXXr0FXWoq0af9SLCcA7NpwALp7Olz477dVPib9yaotlzlo\nw0Z4BzW2dGhEirBKUduzZ0/Mnz8fW7duxaBBg4z6tm7dCgCIioqyxlMTERHVmmceeghX7t5VNmmD\nBgAA5z2XFE3bu2FgteK/BhDl7PTAuC0XLuD6L/ksasnmalTUSinNtvfq1QvNmjXDmjVrMGnSJHTo\n0AEAUFBQgCVLlqBJkyaIj4+vyVMTERHZ3PwuXWw9BKtp/Nln+Cgy8oFxIRs21MJoiB6sykXt8uXL\nkZubCwDYt28fAGDu3LlIT08HACQmJiLy/3/4XVxckJaWhn79+iEyMhJDhw6Fq6sr1q5di8LCQmzY\nsAFubm5Kv5YKVTSnljeDEREREdkXS28iq3JRm5eXh4yMDAghAABCCGRlZUFKCSEEYmNjDUUtAPTp\n0wfZ2dnQarVYvXo1AKBLly6YOXNmrReSvFGMiIiISB0qu+ioyI1i6enphquyVRUZGWmYQ0tERERE\nZC1W2SaXiIiIiKg2saglIiIiItVjUUtEREREqufQ2+Ry9QMiIiIi+2L11Q/UjKsfEBEREamDpasf\ncPoBEREREakei1oiIiIiUj0WtURERESkeg4xp5aIiIisQwNg+6jhhh1HlVKi02Hc8VOK5rSWD9u2\ngpuTk+J575SVYfyJ04rnratY1BIREZHF1vbsCZ2Uiub87upV/PPIEUVzWlOZlFjVrRtcFSxs/3P5\nMt49dkyxfI6ARS0RERFZrEv9+ornLC4rUzyntXVp0AAeCha11+7eVSyXo+CcWiIiIiJSPRa1RERE\nRKR6DjH9gDuKERERqcvd8nKsaNda0ZzlUqLJU70Q/36aonnVZEWXcODmTcXzOgsBKaUiNwxyR7FK\ncEcxIiIi9Wjr64s3w8MVz7vq1CmcPHBA8bxq4nTrFv7YrBnC6tVTNG/S/v2K5bJ0RzGHKGqJiIhI\nPYI9PTGiZUvF8+b8+itOlvAGrO6NGuHZZs0UzZm0f7/iy7pVF+fUEhEREZHqsaglIiIiItVjUUtE\nREREqseiloiIiIhUjzeKERERkUNw0WhQWngVaW1bKZpX6W2C9W6VlSk+1rLyckXz2RMWtUREROQQ\n3nnsMcx79FGr5HbXKPvl91ONG+OnZ55RNKeeu4Lb+doTFrVERETkEDycnACVFHQuGg1cFC6U6zq+\nW0RERESkeixqiYiIiEj1WNQSERERkeqxqCUiIiIi1WNRS0RERESqx6KWiIiIiFTPIZb00mq1Ztuj\no6MRHR1dq2MhIiIiooplZ2cjOzu72sc5dFFLRERERPalsouOqampFR7H6QdEREREpHosaomIiIhI\n9VRd1D777LPQaDTIycmx9VDs0q+3b9t6CGQDlsxDIvXbc+mSrYdANsDz7ph43s1TbVGbkZGBO3fu\n2HoYdu1icbGth0A2wKLWMe25fNnWQyAb4Hl3TDzv5qnyRrFz584hOTkZubm5aN68ua2HQ0REREQ2\nprortVJKjBkzBsnJyXjooYdsPRwiIiIisgN2UdQmJCRAo9FU+Bg8eLAh9v3334cQAmPHjrXhiImI\niIjInlS5qF21ahUSExMRHh4OV1dXaDQa7Nq1q9JjcnNzERcXBz8/P/j6+iI2NhY7d+40iVu6dCmu\nXLlS4SM9PR0AcOrUKbz11lv48MMPAfx21fb+/yUiIiIix1TlObXJycnIz89HYGAgAgMDcf78eQgh\nKozfsmUL4uPj4evri+HDh8PNzQ2ZmZmIi4vDxo0b0b9/f0Osl5cXvLy8HjiG3bt34+rVq3j00UeN\n2v/0pz9h2LBhWLp0aVVfDhERERHVIVW+Upueno6zZ8+ioKAAQ4YMqTS2tLQU48ePh7u7O/Ly8rB0\n6VIsWLAABw4cQIMGDTBhwgSUlJRUe7BDhgzBmTNncOjQIRw6dAgHDx4EAKxYsQKzZ8+udj4iIiIi\nqhuqXNTGxMQgODi4SrHbtm1Dfn4+hg0bhtDQUEN7UFAQXnnlFRQUFGDz5s3VHqyHhweaNGlieOjH\n07BhQ/j5+VU7HxERERHVDVa5UUy/GUJcXJxJn75NqQ0TysvLERUVpUguIiIiIlInqxS1J0+eBAC0\nbt3apK9Vq1ZGMURERERENWWVoraoqAgA4Ovra9Knb7tx44Y1npqIiIiIHJG0wF/+8hcphJC7du0y\n2x8XFyeFEPLUqVMmfaWlpVIIIbt3727JU1cbAD744IMPPvjggw8+6sijIlbZJld/NVZ/xfZ++rba\nurFLcg1bIiIiojrPKtMP9HNpT5w4YdJX2XxbIiIiIiJLWKWo7dmzJwBg69atJn36Nq5YQERERERK\nqVFRW9FX+7169UKzZs2wZs0aHDlyxNBeUFCAJUuWoEmTJoiPj6/JUxMRERERGVS5qF2+fDkSEhKQ\nkJCAb775BgAwd+5cQ1teXp4h1sXFBWlpaSgtLUVkZCQmTpyISZMmISIiAoWFhXj//ffh5uam/Ksh\n5ObmIi4uDn5+fvD19UVsbCx27txp62HVeefOncM///lP9OrVCw899BDc3NzQtGlTDBs2DIcPHzZ7\nzOHDh/HMM8+gXr168Pb2RteuXfH5559X+Bxnz57FiBEj0KhRI3h6euKRRx5BWlpahfGFhYV4+eWX\n0bRpU7i7u6Ndu3aYM2cOysrKzMbfuXMHM2bMQMuWLeHh4YEWLVogKSkJxcXFZuN1Oh3efvtthIaG\nwsPDA8HBwRg/fjyuXr1ayTvlGJ555hloNBo0bNjQbD/Pfd0gpURGRgZ69OgBPz8/+Pj4oGPHjnjp\npZdMYnnO64Y7d+5gwYIFCA8PR0BAAAICAhAREYEFCxaY3SmV572WVXUVgYSEBCmEkBqNxuihb1u5\ncqXJMbm5ubJXr17Sx8dH+vj4yJiYGLlz587qL2FAVfLNN99IJycnGRAQICdOnCgnT54sGzduLJ2c\nnOSXX35p6+HVaVOnTpVCCNmuXTs5fvx4OX36dNmvXz+p0Wiku7u7yef+u+++k97e3tLT01OOGTNG\nJiUlyVatWkkhhHz33XdN8ufn5xvO5fPPPy+nTZsmw8LCpBBCTpkyxST+xo0bskOHDlIIIfv16yen\nT58ue/ToIYUQctCgQSbx9+7dk9HR0VIIIXv27CmnT58u4+PjpRBCRkZGytLSUpNjhg8fLoUQMjw8\nXE6bNk0OGTJEOjk5ybZt28pr165Z/maq3CeffCKdnJykh4eHbNiwoUk/z33dUFZWJocOHSqFEPLR\nRx+Vf/nLX2RSUpJ87rnnTM47z3ndoNPpZFRUlBRCyE6dOsnJkyfLyZMny4cfftjwXpaXlxvied5r\nn0VLepH9uXv3rmzevLn08vKSR44cMbQXFBTIwMBA2aRJE3nnzh0bjrBu27Bhg8zNzTVp/+yzz6QQ\nQoaGhhq1d+3aVTo5Ocnt27cb2m7evCk7dOggPT09ZUFBgVH8888/L4UQMj093dB27949GRsbKzUa\njfzuu++M4qdNmyaFEDIlJcWofeTIkVIIIb/44guj9g8++EAKIWRCQoJRe3JyshRCyEWLFhm1f/PN\nN1IIIXv16iXLysoM7StWrJBCCDl58mST98IRXLx4UTZo0EBOnjxZtmjRwmxRy3NfN8yZM0cKIeSC\nBQtM+nQ6ndH/5zmvG3bs2CGFEPKpp54yatfpdIZiMTs729DO8177WNTWEZs2bZJCCDlu3DiTvrfe\neksKIeT69ettMDJq27at1Gg08urVq1JKKQ8fPiyFELJ3794msatXr5ZCCPnOO+8Y2q5fvy5dXFxk\nu3btTOJzc3OlEEK+8sorhjadTicDAwOlv7+/LCkpMYo/e/as1Gg0sn///kbtjz32mHRycpLnz583\nai8uLpa+vr6yU6dORu2DBg2SQgi5Z88ekzG1adNG1qtXT967d6+it6TOGjhwoAwJCZG3b9+WzZs3\nNylqee7rhlu3bklfX18ZGxv7wFie87pj3bp1Uggh582bZ9I3e/Zso9+zPO+2YZXVD6j25eTkAADi\n4uJM+vRt+hiqXa6urgAAZ+ffloWu7Fz16tXLKAYA9u7di7KyMkPf/bp27QpPT0+j+OPHj+PSpUuI\njIw0mbvetGlTtG3bFrt37za03blzB/v370f79u3RpEkTo3gPDw88+eST+PHHH3Ht2jVDe05ODnx8\nfNC1a1eTMT311FO4du0afvjhhwrekbpp/fr1WL9+PdLS0uDp6Wk2hue+bsjKysLNmzfx3HPPoaio\nCKtWrcKcOXOQkZGBy5cvG8XynNcdTz75JNzc3LBlyxajG+V1Oh22bNkCd3d3w3vE824bLGrriMrW\n/23VqpVRDNWe/fv34/Dhw+jSpYthU5LKzlVgYCC8vLyMzlVl8U5OTggJCalyvL79xo0buHLlCgDg\n1KlTkFJWGq+PA4Bbt27h0qVLCAkJgRDigfGO4OrVq3jppZcwYsQIs7/E9Hju64b9+/cD+O0mnXbt\n2mHUqFGYMWMGEhIS0LJlS3zyySeGWJ7zuiM4OBirV6/GoUOH0LlzZ0yePBmTJ09G586dcfjwYaxe\nvdpQMPK82waL2jpCv1ObvnC6n77txo0btTomR3fr1i2MGjUKGo0G8+bNM7RXdq707fefq6rE37lz\nBzqdrsrxwP8+D9aOdwSvvvoqAGDhwoWVxvHc1w36QiE1NRWPP/44fvrpJ9y4cQOZmZlwcXFBQkIC\nDh06BIDnvK6JjIzEwIEDceTIESxatAiLFi3CTz/9hEGDBqF79+6GOJ5322BRS2QFpaWlGDRoEI4c\nOQKtVovo6GhbD4ms5KuvvsKnn36KhQsXIiAgwNbDoVpQXl4OAAgKCsK6devQpk0b+Pj4YPDgwZg7\ndy7KysqwZMkSG4+SlHb58mU88cQTyMzMxEcffYTLly+jsLAQq1evxueff46uXbsafX1PtY9FbR2h\n/6tJ/9fV/fRtfn5+tTomR1VWVoYhQ4Zgy5YtmDJlCv72t78Z9Vd2rvTt95+rqsR7eHjAycmpyvHA\n/z4P1o6vy27fvo0JEyYgPj4ezz///APjee7rBv3r69Wrl8l8xv79+wMADhw4AIDnvC5ZtGgRzp49\nizlz5mDUqFGoX78+/P398fzzz2Px4sX4+eef8c9//hMAz7utsKitI/TzW06cOGHS96C5N6ScsrIy\nDB06FF988QVeffVVzJ8/3ySmTZs2AMyfq4sXL+L27dtG56qyeJ1OhzNnzpiNr2gO9cmTJ+Hn54cG\nDRoAAFq2bAkhRKXxQgjDc3h7e6NRo0Y4c+ZMhfGAY3zeLl++jIKCAmzatAkajcbokZ+fjytXrkCj\n0Riu4Fb2c8pzrx7t2rUDYP4Xur4YuHPnDgCe87rku+++AwD07NnTpE/fdvDgQQA877bCoraO0P9A\nbd261aRP3xYVFVWrY3I0Op0OI0aMwPr16/Hiiy9WOL9Sfx6qeq66desGFxcXbN++3SR+7969KC4u\nNopv27YtGjVqhLy8PJMdbs6ePYuffvoJPXr0MLR5enqiS5cuOHr0KM6fP28UX1xcjLy8PDz88MPw\n9/c3tPfs2RM3b97Enj17jOKllNi2bRsCAgLQqVMns6+/LvH19cULL7yAsWPHmjy8vb3h5uaGsWPH\nYtSoUQCq/3PKc2+f9NOJ7t8GXu/o0aMAgGbNmgHgz3tdol/J5vcrXAD/m2etv3LP824jNltMjBRV\nWloqmzdvLj09PeXhw4cN7RcuXJCNGjWSwcHBJmvZkXJ0Op1h55XExMQHxnfr1k1qNBq5bds2Q1tR\nUZEMDQ2VXl5eJoty63cu+uijjwxtpaWlMiYmRjo5OcmDBw8axU+fPl0KIeTMmTMNbeXl5XLEiBFm\nF+VOS0uTQgg5atQoo/a//e1vZhfl3rJli2ER8vsX5V6+fLndLspd28ytUyslz31dERMTIzUajdFu\ngaWlpYYdmtLS0gztPOd1w8KFC6UQQvbt29do962ysjLDmq5LliwxtPO81z4WtXXIN998I52dnaW/\nv7988cUX5WuvvSaDgoKks7Mzt8m1spkzZ0ohhAwICJAzZ86UKSkpJo/r168b4g8ePCi9vb2lh4eH\nHD16tJwyZYps1aqV1Gg0cunSpSb5z549a9g+cciQIXLq1KnykUcekUII+cYbb5jEFxUVGW2fOG3a\nNNm9e/cKt08sKysz7IgTFRUlp02bJp9++mnD9onmFtjWF/FhYWFy6tSpcvDgwYbtE+9/rY6qoqKW\n575uOHbsmKxXr550dXWVQ4cOlZMnT5adO3c2FAH37yrGc1433L59W3bq1EkKIWTbtm3lSy+9JF99\n9VXDex8eHm60cyfPe+1jUVvH5Obmyl69ekkfHx/p4+MjY2JijK4kkHUkJCRIjUYjNRqNFEKYPDQa\njfzll1+Mjvnxxx/lM888IwMCAqSnp6d84okn5Oeff17hc+Tn58vhw4fLhg0bSnd3d9m5c2f5wQcf\nVBhfWFgoX3rpJRkcHCzd3Nxk27Zt5ezZs43+4r5fcXGx/Otf/ypDQkKkm5ubbN68uXzjjTfk7du3\nzcaXlZXJf/zjH7J9+/bSzc1NNm7cWI4bN05euXKlCu9Y3VfRNrlS8tzXFadOnZJDhw6VDRs2lG5u\nbrJdu3Zy1qxZRlfx9HjO64aioiI5ffp0GRoaKt3d3aWHh4fs0KGDnDFjhrx165ZJPM977RJS3rct\nBhERERGRCvFGMSIiIiJSPRa1RERERKR6LGqJiIiISPVY1BIRERGR6rGoJSIiIiLVY1FLRERERKrH\nopaIiIiIVI9FLRERERGpHotaIiI7c+/ePaSkpKBNmzZwc3ODRqPBl19+aethUR3WokULhISEGLV9\n/PHH0Gg0WLlypY1GRVQ9LGqJaolGo4FGU/mPXIsWLaDRaJCfn2+2//z580hOTka3bt3QoEEDuLq6\nwt/fHxEREXjppZewa9cuawy9RvS/GCt7/P6XqT0y90v/9/2VnbvqeOedd/Dmm2+iadOmSEpKglar\nRfv27WucNy8vz/Cef/jhhzXOVxNardboM+Dk5AQ/Pz+0aNEC8fHxmD9/Pi5cuGDTMToSIQSEEGbb\nft9OZK+cbT0AIkdSlV8OFcUsW7YMr732Gu7evYvQ0FA899xzaNSoEW7fvo1jx44hIyMD77//PqZM\nmYL58+crPfQaCwsLwzPPPGO2z9/fv5ZHY5kHnT+lfvn/3//9H3x8fLB161Y4Oyv3z/SyZcuM/jsx\nMVGx3JaKjo5GdHQ0AOD27du4cOEC8vLy8PXXXyMlJQVarRZTp0617SAdwI4dO0zann32WXTr1g1B\nQUE2GBFR9bGoJVKBjIwMTJgwAfXq1cO6devQv39/k5ibN28iLS0NZ8+etcEIHywsLAwzZ8609TBU\n4cKFC6hfv76iBe3169fx2WefoXXr1nj44YfxxRdf4ODBgwgLC1PsOSwRHR1t9nOxYcMGjBs3DtOn\nTwcAFrZWZu5bCF9fX/j6+tpgNESW4fQDIjt348YNTJo0CUIIrF271mxBCwA+Pj6YMmUKFixYYNR+\n4cIFzJo1C5GRkQgKCoKbmxuCg4MxbNgwHD161CTPzz//DI1Gg9GjR+PUqVMYOHAg6tevD19fX/Tu\n3Rs//vgjAODy5csYO3YsGjduDA8PDzz22GPIzs6u0WstKSmBv78/AgMDodPpzMa8+OKL0Gg02Lx5\ns1H7sWPHkJCQgIceeghubm4ICgrCsGHDcPz4cZMcCQkJ0Gg0+OWXX5CWloZOnTrBw8MDQUFBGD9+\nPIqKigyx2dnZhmkF+vdG/xg9evQDX5NGo0FMTAyuXr2KcePGoXHjxnB3d0fHjh3x8ccfmx3Xzz//\nbPRcvy841q1bh6ioKPj5+cHT0xOdO3fG3LlzUVpaWuE4Vq9ejZKSEiQkJBjGff+V2/s9aC6l/jXp\nnTlzBv7+/qhfv77J9Ivbt28jNDQUzs7OyMnJqXB8vzdgwAB8/vnnAIBZs2bh119/BQBs2bIFGo0G\nY8aMMXvc3bt30aBBAzRs2BD37t0zeT07d+5EdHQ0fH194efnh379+uHYsWNVHtf9ubZu3YoePXrA\nx8cHDRs2xJgxY3Djxg0AwIEDBxAfH4+AgAD4+PjgT3/6E3755ZcqP8/9hg4dCo1GU+H7t379emg0\nGrz66qsAgG7dusHJyanC53vnnXeg0WiM/q3gnFqqEyQR1QohhNRoNJXGNG/eXGo0GvnLL78Y2pYv\nXy6FELJ79+4WPe+nn34qPT09Zb9+/eTLL78sp02bJgcMGCBdXV2lt7e3PHTokFH8mTNnpBBCRkdH\nywYNGsioqCg5ZcoU+dxzz0mNRiPr168vjx49KkNCQmRERIScPHmyHDlypHR1dZXu7u4yPz/fKF96\neroUQsjRo0dXabzjx4+XQgj51VdfmfSVlJTIgIAA2bhxY6nT6QztX3/9tfTw8JCurq7yueeek1On\nTpV//vOfpbu7u/Tz85MHDhwwyjNq1CgphJCDBg2Sfn5+csSIEXLKlCkyIiJCCiFkbGxnOHk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wGr1UpdXZ00iIm/nvLPWG8tCCGEEGPk0qVLbN++ncOHD+NyuX734/wSy5cvp7W1lVevXmE0GkeN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\n", | |
| "text/plain": [ | |
| "<matplotlib.figure.Figure at 0x124364610>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| }, | |
| { | |
| "data": { | |
| "image/png": 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Bg2BqaopZs2bB3NwcW7ZsQd++fZGbm6sUXxNrgtVKgvPz8zF27Fh4eXkhJycH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\nwxBMRERERLLDEExEREREssMQTERERESywxBMRERERLLDEEx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QEFFRUbh79y52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| |
| "text/plain": [ | |
| "<matplotlib.figure.Figure at 0x11d23e290>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "set_style('ATLAS', mpl=True)\n", | |
| "for key in ['HGamPhotonsAuxDyn.pt', 'HGamEventInfoAuxDyn.pT_y1', 'HGamEventInfoAuxDyn.pT_y2', \n", | |
| " 'HGamEventInfoAuxDyn.m_yy', 'HGamEventInfoAuxDyn.Njets', 'Njets','HGamEventInfoAuxDyn.m_jj', \n", | |
| " 'HGamEventInfoAuxDyn.m_yyjj', 'HGamEventInfoAuxDyn.Dphi_yy_jj']: # might be modified to access other histogram\n", | |
| " \n", | |
| " \n", | |
| " # ____DATA____\n", | |
| " # -- use hist to get bin_heights, bins:\n", | |
| " bin_heights, bins = np.histogram(prepare(data_df[key]), bins=25); \n", | |
| " # -- find center of each bin:\n", | |
| " bins_mean = [(bins[i]+bins[i+1])/2 for i in range (0,(len(bins)-1))]\n", | |
| " # -- horizontal error bars of lenght = bin length: \n", | |
| " xerr = [bins_mean[i]-bins[i+1] for i in range (0, len(bins_mean))] \n", | |
| " \n", | |
| " fig = plt.figure()\n", | |
| " ax = fig.add_axes([0,0,1,1])\n", | |
| " plt.errorbar(bins_mean, bin_heights, xerr=xerr, yerr=np.sqrt(bin_heights), fmt='o', capsize = 0, color = 'black', label='data')\n", | |
| " plt.xlabel(key)\n", | |
| " \n", | |
| " \n", | |
| " # ____BACKGROUND____\n", | |
| " plt.hist([ prepare(bkg1_df[key]), prepare(bkg2_df[key]), prepare(bkg3_df[key]),\n", | |
| " prepare(bkg4_df[key]), prepare(bkg5_df[key]) ], \n", | |
| " bins=bins, color = (\"#e75555\", \"#a9e185\", '#6cdcdf', '#f4df62', '#f47cbf'), stacked=True, \n", | |
| " histtype='stepfilled', \n", | |
| " label=[r'$\\gamma$$\\gamma$bb', r'$\\gamma$bbj',r'$\\gamma$$\\gamma$bj',r'$\\gamma$bjj',r'$\\gamma$jjj'], \n", | |
| " edgecolor = \"black\", \n", | |
| " weights = [\n", | |
| " [Lumi*2*xsec[0]/Nevents[0]] * prepare(bkg1_df[key]).shape[0],\n", | |
| " [Lumi*2*xsec[1]/Nevents[1]] * prepare(bkg2_df[key]).shape[0],\n", | |
| " [Lumi*2*xsec[2]/Nevents[2]] * prepare(bkg3_df[key]).shape[0],\n", | |
| " [Lumi*2*xsec[3]/Nevents[3]] * prepare(bkg4_df[key]).shape[0],\n", | |
| " [Lumi*2*xsec[4]/Nevents[4]] * prepare(bkg5_df[key]).shape[0]]\n", | |
| " ) \n", | |
| " \n", | |
| " \n", | |
| " # -- individual axes settings:\n", | |
| " if (key in ['HGamEventInfoAuxDyn.Njets', 'HGamEventInfoAuxDyn.m_jj','HGamEventInfoAuxDyn.m_yyjj'] ):\n", | |
| " plt.yscale('log')\n", | |
| " \n", | |
| " \n", | |
| " # -- add legend, ATLAS label, ATLAS info text:\n", | |
| " plt.legend()\n", | |
| " plt.text(0.4,0.9, 'ATLAS', va='bottom', ha='left', color='black', size=20, \n", | |
| " fontname = 'sans-serif', weight = 'bold', style = 'oblique',transform=ax.transAxes)\n", | |
| " plt.text(0.53, 0.9, 'Work In Progress', va='bottom', ha='left', color='black', size=20,\n", | |
| " fontname = 'sans-serif', transform=ax.transAxes)\n", | |
| " plt.text(0.4, 0.8, \n", | |
| " r'$\\sqrt{s} = 13 TeV :\\ \\ \\int Ldt = 1.04\\ fb^{-1}$',\n", | |
| " va='bottom', ha='left', color='black', size=20, fontname = 'sans-serif', transform=ax.transAxes)\n", | |
| " \n", | |
| " \n", | |
| " # -- show plot:\n", | |
| " plt.show()" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "### Control Plots\n", | |
| "if Njets = 2, plot: distributions for photons (like photon pt, diphoton mass etc); yyjj distributions (??); jet pt / dijet mass comparison (??)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 312, | |
| "metadata": { | |
| "collapsed": true | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "# -- slice dataframes to apply 'Njets == 2' selection\n", | |
| "data_Nj2_df = data_df[data_df['Njets'] == 2]\n", | |
| "bkg1_Nj2_df = bkg1_df[bkg1_df['Njets'] == 2]\n", | |
| "bkg2_Nj2_df = bkg2_df[bkg2_df['Njets'] == 2]\n", | |
| "bkg3_Nj2_df = bkg3_df[bkg3_df['Njets'] == 2]\n", | |
| "bkg4_Nj2_df = bkg4_df[bkg4_df['Njets'] == 2]\n", | |
| "bkg5_Nj2_df = bkg5_df[bkg5_df['Njets'] == 2]" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 313, | |
| "metadata": { | |
| "collapsed": false | |
| }, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "image/png": 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OHaSuwHLjxg0oKSmJ/UIg0rNnT/D5fLFrmZycDADo0aOHRH8LCwuYm5vLrFWX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| |
| "text/plain": [ | |
| "<matplotlib.figure.Figure at 0x11234bd10>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| }, | |
| { | |
| "data": { | |
| "image/png": 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0N2jQALa2tjKPc+PGDZSUlHDLygzNqGpuQGnhdvDgQRQUFCA+Ph4XLlzAoUOH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| |
| "text/plain": [ | |
| "<matplotlib.figure.Figure at 0x112d79390>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| }, | |
| { | |
| "data": { | |
| "image/png": 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E4cOHJeaH3rNnT42S5vcfBqxYzyzWq1cv/P7770hKSoKFhQVu3boFCwsLbgle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SWE0PDwcFH50qVLKSGErl69mlJKaV5eHiWE0MjISFFdtVpNCSE0MzNTchu8tWvXUkIIValUQtmb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\nDgO+16cQrQAAAABJRU5ErkJggg==\n", | |
| "text/plain": [ | |
| "<matplotlib.figure.Figure at 0x1132fd710>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| }, | |
| { | |
| "data": { | |
| "image/png": 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Qn5+P+Ph4nD9/Hvv375eY/zkyMrJSCfOHD/6VHb8s1qVLF/z2229ITExE48aN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| |
| "text/plain": [ | |
| "<matplotlib.figure.Figure at 0x114a44210>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| }, | |
| { | |
| "data": { | |
| "image/png": 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F7bVr1/Dvv//CwcEB2traAIDU1FQAkHpHqJGRETQ0NLiYquKVlJTQpk0bueNF7bm5uZXe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| |
| "text/plain": [ | |
| "<matplotlib.figure.Figure at 0x115dd05d0>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| }, | |
| { | |
| "data": { | |
| "image/png": 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OhRBCqqVGCfaVK1fwzz//wMnJCbq6ugCAjIwMAJB5B7WJiQm0tLS4Pu/rr6KiglatWinc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\nY0d99NFH+T08AAAA3OYK1Y1m 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