"""
configMgr.initialize()
RooRandom.randomGenerator().SetSeed(configMgr.toySeed)
ReduceCorrMatrix = configMgr.ReduceCorrMatrix
"""
runs Trees->histos and/or histos->workspace according to specifications
"""
if configMgr.readFromTree or configMgr.executeHistFactory:
if doCodeProfiling:
import cProfile
cProfile.run('configMgr.executeAll()')
else:
configMgr.executeAll()
"""
shows systematics
"""
if drawSystematics:
from ROOT import Util
if not os.path.isdir("./plots"):
log.info("no directory 'plots' found.... creating one")
os.mkdir("./plots")
for fC in configMgr.fitConfigs:
for chan in fC.channels:
for sam in chan.sampleList:
if not sam.isData:
if HistFitterArgs.systematics:
Systs = HistFitterArgs.systematics
configMgr.useAsimovSet = True
elif opt == '-g':
sigSamples = arg.split(',')
pass
gROOT.SetBatch(not runInterpreter)
#mandatory user-defined configuration
execfile(configFile)
#standard execution from now on.
configMgr.initialize()
#runs Trees->histos and/or histos->workspace according to specifications
if configMgr.readFromTree or configMgr.executeHistFactory:
configMgr.executeAll()
if runFit:
for i in range(0,len(configMgr.topLvls)-1):
#if len(configMgr.topLvls)>1:
r=GenerateFitAndPlot(configMgr.topLvls[i])
#for idx in range(len(configMgr.topLvls)):
# r=GenerateFitAndPlot(configMgr.topLvls[idx]) #1])
pass
#configMgr.cppMgr.fitAll()
print "\nr0=GenerateFitAndPlot(configMgr.topLvls[0])"
print "r1=GenerateFitAndPlot(configMgr.topLvls[1])"
print "r2=GenerateFitAndPlot(configMgr.topLvls[2])"
pass
if printLimits: