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#include <fstream>
#include <iostream>
#include <streambuf>
#include "TFile.h"
#include "RooWorkspace.h"

// void PrintWorkspaceToTextFile(const char *rootFilePath, const char *textFilePath)
void PrintWorkspaceToTextFile(const char *rootFilePath)
{

ram1123

GIT

• Compare the two commits or brancehs:

  https://github.com/USER/REPO_NAME/compare/SHA1..SHA2

  For example: https://github.com/Anusreevijay769/nanoAOD_skim/compare/4aa81820a782b5eae640d940129eca233f1e63db..7f1f22caf0bc5db2a8d0f2cba5e4a2294c015a24

ram1123

import ROOT

# Set ROOT to run in batch mode 
ROOT.gROOT.SetBatch(True)

def print_bins_noSort(hist):
    xaxis = hist.GetXaxis()
    for i in range(1, hist.GetNbinsX() + 1):
        bin_content = hist.GetBinContent(i)
        bin_label = xaxis.GetBinLabel(i)

ram1123

#!/usr/bin/python

print("Converting all of the .dav files in this current directory into .mp4 files using ffmpeg")
import os
from subprocess import call

files = [f for f in os.listdir('.') if os.path.isfile(f)]
for f in files:
    ext = f.split(".")[-1]
    if ext == "dav" or ext == "DAV":

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import ROOT as ROOT
import sys
ROOT.gROOT.SetBatch(ROOT.kTRUE)

def get_standard_deviation(histogram):
    # Compute the standard deviation of a histogram
    mean = histogram.GetMean()
    variance = histogram.GetStdDev() ** 2
    return variance ** 0.5

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import os

# Specify the directory containing the PDF files
pdf_dir = '/afs/cern.ch/user/r/rasharma/work/LearnCombine/CMSSW_11_3_4/src/2l2Q_limitSettingTool/ImpactPlotCollection/'

# Get a list of the PDF files in the directory
pdf_files = [f for f in os.listdir(pdf_dir) if f.endswith('.pdf')]

# Create a LaTeX file for the presentation
with open('presentation.tex', 'w') as f:

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import ROOT

def SignificanceScan(var="evalDNN_HH"):
    sigFile = "/eos/user/r/rasharma/post_doc_ihep/double-higgs/ntuples/January_2021_Production/DNN_Evaluate_HHWWyyDNN_NewModel6_E700_LR10em4_B150_VarMixV1MaxBRmvCorr_Trial1_BalanceYields/GluGluToHHTo2G4Q_node_cHHH1_2017.root"
    # bkgFiles = ["/eos/user/r/rasharma/post_doc_ihep/double-higgs/ntuples/January_2021_Production/DNN_Evaluate_HHWWyyDNN_NewModel6_E700_LR10em4_B150_VarMixV1MaxBRmvCorr_Trial1_BalanceYields/Data_2017.root"]
    bkgFiles = ["/eos/user/r/rasharma/post_doc_ihep/double-higgs/ntuples/January_2021_Production/DNN_Evaluate_HHWWyyDNN_NewModel6_E700_LR10em4_B150_VarMixV1MaxBRmvCorr_Trial1_BalanceYields/Data_2017.root", "/eos/user/r/rasharma/post_doc_ihep/double-higgs/ntuples/January_2021_Production/DNN_Evaluate_HHWWyyDNN_NewModel6_E700_LR10em4_B150_VarMixV1MaxBRmvCorr_Trial1_BalanceYields/Data_2018.root"]

    fileCount = 0

    # Open the input ROOT file

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import os
import sys


if sys.version_info[0] < 3:
    print("This script requires Python 3. Please use Python 3 to run this script.")
    sys.exit()

# Run crab status command and append in log file
ifRunCrabStatus = False

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import sys

if sys.version_info[0] < 3:
    print("This script requires Python 3. Please use Python 3 to run this script.")
    sys.exit()

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request_cpus    = 1
request_memory  = 4GB
request_disk    = 4GB
executable = /afs/cern.ch/user/r/rasharma/work/slc6_condor/generate_events.sh
output     = /afs/cern.ch/user/r/rasharma/work/slc6_condor/$(ClusterId).out
error      = /afs/cern.ch/user/r/rasharma/work/slc6_condor/$(ClusterId).out 
getenv = FALSE
should_transfer_files = NO 
+RequestRuntime  = 3600
+JobFlavour = "workday"