def __init__(self,samples_config,samples_path):
try:
os.stat(samples_config)
except:
raise Exception('config file is wrong/missing')
if '/pnfs/psi.ch/cms/' in samples_path:
T3 = True
_,p2=samples_path.split('/pnfs/')
t3_path = '/pnfs/'+p2.strip('\n')
else:
T3 = False
config = BetterConfigParser()
config.read(samples_config)
newprefix=config.get('General','newprefix')
lumi=float(config.get('General','lumi'))
weightexpression=config.get('General','weightexpression')
self._samplelist = []
self.__fileslist=[]
# print 'T3',T3,'samples_path',samples_path,'t3_path',t3_path
if T3:
# ls = os.popen("lcg-ls -b -D srmv2 -l srm://t3se01.psi.ch:8443/srm/managerv2?SFN="+t3_path)
ls = os.popen("ls "+t3_path)
else:
ls = os.popen("ls "+samples_path)
for line in ls.readlines():
if('.root' in line):
truncated_line = line[line.rfind('/')+1:]
_p = findnth(truncated_line,'.',2)
self.__fileslist.append(truncated_line[_p+1:truncated_line.rfind('.')])
print '@DEBUG: ' + str(self.__fileslist)
run_on_fileList = eval(config.get('Samples_running','run_on_fileList'))
if( not test_samples(run_on_fileList,self.__fileslist,config.sections()) ): # stop if it finds None as sample
sys.exit('@ERROR: Sample == None. Check RunOnFileList flag in section General, the sample_config of the sample directory.')
for _listed_file,_config_entry in map(None,self.__fileslist,config.sections()):
if( run_on_fileList ):
_sample = _listed_file
self._list = self.__fileslist
else:
_sample = _config_entry
self._list = config.sections()
sample = self.checkSplittedSample(_sample)
print 'sample',sample
if not config.has_option(sample,'infile'): continue
infile = _sample
sampleName = config.get(sample,'sampleName')
check_correspondency(sample,self._list,config)
#Initialize samplecalss element
sampleType = config.get(sample,'sampleType')
cut = config.get(sample, 'cut')
newsample = Sample(sampleName,sampleType)
newsample.addtreecut = cut
newsample.identifier=infile
newsample.weightexpression=weightexpression
newsample.lumi=lumi
newsample.prefix=newprefix
if eval(config.get(sample,'subsamples')):
subnames = eval((config.get(sample, 'subnames')))
subcuts = eval((config.get(sample, 'subcuts')))
subgroups = eval((config.get(sample,'sampleGroup')))
if sampleType != 'DATA':
subxsecs = eval((config.get(sample, 'xSec')))
subsfs = eval((config.get(sample, 'SF')))
newsamples = []
for i,cut in enumerate(subcuts):
newsubsample = copy(newsample)
newsubsample.subsample = True
newsubsample.name = subnames[i]
newsubsample.subcut = subcuts[i]
newsubsample.group = subgroups[i]
if sampleType != 'DATA':
newsubsample.sf = float(subsfs[i])
newsubsample.xsec = float(subxsecs[i])
newsamples.append(newsubsample)
self._samplelist.extend(newsamples)
self._samplelist.append(newsample)
else:
if sampleType != 'DATA':
newsample.xsec = eval((config.get(sample,'xSec')))
newsample.sf = eval((config.get(sample, 'SF')))
newsample.group = config.get(sample,'sampleGroup')
self._samplelist.append(newsample)
def __init__(self,samples_config,samples_path):
'''
Methode filling a list of Sample "self._samplelist = []" contained in the class.
"sample_path" contains the path where the samples are stored (PREPin).
"samples_config" is the "samples_nosplit.cfg" file. Depending of the variable "run_on_files" defined in "samples_nosplit.cfg",
the sample list are generated from the input folder (PREPin) or the list in "samples_nosplit.cfg" '''
self.debug = 'XBBDEBUG' in os.environ
if self.debug:
print "Start getting infos on all the samples (ParseInfo)"
print "==================================================\n"
print 'samples_config is', samples_config
try:
os.stat(samples_config)
except:
raise Exception('config file is wrong/missing')
if samples_path and '/pnfs/psi.ch/cms/' in samples_path:
T3 = True
_,p2=samples_path.split('/pnfs/')
t3_path = '/pnfs/'+p2.strip('\n')
else:
T3 = False
config = BetterConfigParser()
config.read(samples_config)
# TODO: 08.03.2018: newprefix and weightexpression needed?
newprefix = config.get('General','newprefix') if config.has_option('General','newprefix') else ''
lumi=float(config.get('General','lumi'))
weightexpression=config.get('General','weightexpression') if config.has_option('General','weightexpression') else ''
self._samplelist = []
self.__fileslist=[]
# TODO: 08.03.2018: clean up this file !!!!!!
if samples_path:
#!! Store the list of input samples in __fileslist. Reads them directly from the folder defined in PREPin
# print 'T3',T3,'samples_path',samples_path,'t3_path',t3_path
if T3:
ls = os.popen("ls "+t3_path)
else:
ls = os.popen("ls "+samples_path)
#print 'will start the loop over the lines.'
#print ls.read()
for line in ls.readlines():
#print 'loop over the lines'
if('.root' in line):
truncated_line = line[line.rfind('/')+1:]
_p = findnth(truncated_line,'.',2)
self.__fileslist.append(truncated_line[_p+1:truncated_line.rfind('.')])
#print 'added a new line !'
print '@DEBUG: ' + str(self.__fileslist)
#Deleteme: Do a loop to check on __fileslist
#Start the loop
#for i in range(0,len(self.__fileslist)):
#print 'Is the ',i ,'th file None ? Answer:', (self.__fileslist[i] == None)
#End Deleteme
run_on_fileList = eval(config.get('Samples_running','run_on_fileList'))#Evaluate run_on_fileList from samples_nosplit.cfg
#print 'Is Sample None ? Answer: ', (self.__fileslist == None)
if( not test_samples(run_on_fileList,self.__fileslist,config.sections()) ): # stop if it finds None as sample
sys.exit('@ERROR: Sample == None. Check RunOnFileList flag in section General, the sample_config of the sample directory.')
#!! Start to loop over the samples. If run_on_files list is true, use the sample from the PREPin folder (_listed_file).
#!! Else use the sample from samples_nosplit.cfg (_config_entry).
#!! The sample description from samples_nosplit.cfg are then applied.
for _listed_file,_config_entry in map(None,self.__fileslist,config.sections()):
if( run_on_fileList ):
_sample = _listed_file
self._list = self.__fileslist
else:
_sample = _config_entry
self._list = config.sections()
sample = self.checkSplittedSample(_sample)#Check if is splitted and remove the _
if not config.has_option(sample,'sampleName'): continue #Check if the sample has the infile parameter. If not skip
infile = _sample
# print 'infile',infile
sampleName = config.get(sample,'sampleName')
check_correspondency(sample,self._list,config)#Check if the sample exists, not fully understood yet
#Initialize samplecalss element
sampleType = config.get(sample,'sampleType')
cut = config.get(sample, 'cut')
if config.has_option(sample, 'specialweight'):
specialweight = config.get(sample, 'specialweight')
else:
specialweight = "1"
fullname = config.get(sample,'sampleName')
mergeCachingSize = int(config.get(sample, 'mergeCachingSize')) if config.has_option(sample, 'mergeCachingSize') else -1
#fill the sample
newsample = Sample(sampleName,sampleType)
newsample.addtreecut = cut
newsample.identifier=infile
newsample.weightexpression=weightexpression
newsample.specialweight=specialweight
newsample.lumi=lumi
newsample.prefix=newprefix
newsample.FullName = fullname
if mergeCachingSize > 0:
newsample.mergeCachingSize = mergeCachingSize
if config.has_option(sample, 'skipParts'):
newsample.skipParts = eval(config.get(sample, 'skipParts'))
#add and fills all the subsamples
if eval(config.get(sample,'subsamples')):
subgroups = eval((config.get(sample,'sampleGroup')))
try:
subnames = eval((config.get(sample, 'subnames')))
except:
# create subnames automatically based on subgroup name to avoid duplication
try:
shortname = config.get(sample, 'shortname').strip()
except:
# use full name if no short name given
shortname = sampleName
subnames = [shortname + '_' + x for x in subgroups]
subcuts = eval((config.get(sample, 'subcuts')))
if sampleType != 'DATA':
subxsecs = eval((config.get(sample, 'xSec')))
subsfs = eval((config.get(sample, 'SF')))
try:
subspecialweights = eval((config.get(sample, 'specialweight')))
#print 'specialweights=', subspecialweights
if len(subspecialweights) < 2:
subspecialweights = []
except:
subspecialweights = []
newsamples = []
for i,cut in enumerate(subcuts):
newsubsample = copy(newsample)
newsubsample.subsample = True
newsubsample.name = subnames[i]
newsubsample.subcut = subcuts[i]
newsubsample.group = subgroups[i]
if sampleType != 'DATA':
newsubsample.sf = float(subsfs[i])
newsubsample.xsec = float(subxsecs[i])
if len(subspecialweights) == len(subcuts):
newsubsample.specialweight = subspecialweights[i]
newsamples.append(newsubsample)
#print 'newsubsample:', newsubsample
self._samplelist.extend(newsamples)
self._samplelist.append(newsample)
else:
if sampleType != 'DATA':
newsample.xsec = eval((config.get(sample,'xSec')))
newsample.sf = eval((config.get(sample, 'SF')))
newsample.group = config.get(sample,'sampleGroup')
self._samplelist.append(newsample)
if self.debug:
print "Finished getting infos on all the samples (ParseInfo)"
print "=====================================================\n"
'').replace('dcap://t3se01.psi.ch:22125/',
'').replace('root://t3dcachedb03.psi.ch:1094/', '')
# print "opts.task",opts.task
samplefiles = config.get('Directories', 'samplefiles')
hash = ''
if opts.region:
print 'opts.region', opts.region
region = opts.region
print 'evaluating cuts for region', region
section = 'Plot:%s' % region
vars = (config.get(section, 'vars')).split(
',') #get the variables to be ploted in each region
print 'vars', vars
SignalRegion = False
if config.has_option(section, 'Signal'):
# mc.append(config.get(section,'Signal'))
SignalRegion = True
# # #GETALL AT ONCE
options = []
Stacks = []
#print "Start Loop over the list of variables(to fill the StackMaker )" print "==============================================================\n"
for i in range(
len(vars)
): # loop over the list of variables to be ploted in each reagion
# print "The variable is ", vars[i], "\n"
Stacks.append(
StackMaker.StackMaker(config, vars[i], region, SignalRegion)
) # defined in myutils DoubleStackMaker. The StackMaker merge together all the informations necessary to perform the plot (plot region, variables, samples and signal region ). "options" contains the variables information, including the cuts.
options.append(Stacks[i].options)
cuts = []
pathIN_orig = pathIN_orig.replace('gsidcap://t3se01.psi.ch:22128/','').replace('dcap://t3se01.psi.ch:22125/','').replace('root://t3dcachedb03.psi.ch:1094/','')
# print "opts.task",opts.task
samplefiles = config.get('Directories','samplefiles')
print 'pathIN_orig',pathIN_orig
print 'pathOUT_orig',pathOUT_orig
hash = ''
if opts.region:
# print 'opts.region',opts.region
region = opts.region
print 'evaluating cuts for region',region
section='Plot:%s'%region
vars = (config.get(section, 'vars')).split(',')#get the variables to be ploted in each region
# print 'vars',vars
SignalRegion = False
if config.has_option(section,'Signal'):
# mc.append(config.get(section,'Signal'))
SignalRegion = True
# # #GETALL AT ONCE
options = []
Stacks = []
#print "Start Loop over the list of variables(to fill the StackMaker )" print "==============================================================\n"
for i in range(len(vars)):# loop over the list of variables to be ploted in each reagion
# print "The variable is ", vars[i], "\n"
Stacks.append(StackMaker.StackMaker(config,vars[i],region,SignalRegion))# defined in myutils DoubleStackMaker. The StackMaker merge together all the informations necessary to perform the plot (plot region, variables, samples and signal region ). "options" contains the variables information, including the cuts.
options.append(Stacks[i].options)
cuts = []
for option in options:
cuts.append(option['cut'])
_cutList = []
#! Make the cut lists from inputs
def __init__(self, samples_config, samples_path):
try:
os.stat(samples_config)
except:
raise Exception('config file is wrong/missing')
if '/pnfs/psi.ch/cms/' in samples_path:
T3 = True
_, p2 = samples_path.split('/pnfs/')
t3_path = '/pnfs/' + p2.strip('\n')
else:
T3 = False
config = BetterConfigParser()
config.read(samples_config)
newprefix = config.get('General', 'newprefix')
lumi = float(config.get('General', 'lumi'))
weightexpression = config.get('General', 'weightexpression')
self._samplelist = []
self.__fileslist = []
if T3:
ls = os.popen(
"lcg-ls -b -D srmv2 -l srm://t3se01.psi.ch:8443/srm/managerv2?SFN="
+ t3_path)
else:
ls = os.popen("ls -l " + samples_path)
for line in ls.readlines():
if ('.root' in line):
truncated_line = line[line.rfind('/') + 1:]
_p = findnth(truncated_line, '.', 2)
self.__fileslist.append(
truncated_line[_p + 1:truncated_line.rfind('.')])
print '@DEBUG: ' + str(self.__fileslist)
run_on_fileList = eval(config.get('Samples_running',
'run_on_fileList'))
if (not test_samples(
run_on_fileList, self.__fileslist,
config.sections())): # stop if it finds None as sample
sys.exit(
'@ERROR: Sample == None. Check RunOnFileList flag in section General, the sample_config of the sample directory.'
)
for _listed_file, _config_entry in map(None, self.__fileslist,
config.sections()):
if (run_on_fileList):
_sample = _listed_file
self._list = self.__fileslist
else:
_sample = _config_entry
self._list = config.sections()
sample = self.checkSplittedSample(_sample)
if not config.has_option(sample, 'infile'): continue
infile = _sample
sampleName = config.get(sample, 'sampleName')
check_correspondency(sample, self._list, config)
#Initialize samplecalss element
sampleType = config.get(sample, 'sampleType')
cut = config.get(sample, 'cut')
newsample = Sample(sampleName, sampleType)
newsample.addtreecut = cut
newsample.identifier = infile
newsample.weightexpression = weightexpression
newsample.lumi = lumi
newsample.prefix = newprefix
if eval(config.get(sample, 'subsamples')):
subnames = eval((config.get(sample, 'subnames')))
subcuts = eval((config.get(sample, 'subcuts')))
subgroups = eval((config.get(sample, 'sampleGroup')))
if sampleType != 'DATA':
subxsecs = eval((config.get(sample, 'xSec')))
subsfs = eval((config.get(sample, 'SF')))
newsamples = []
for i, cut in enumerate(subcuts):
newsubsample = copy(newsample)
newsubsample.subsample = True
newsubsample.name = subnames[i]
newsubsample.subcut = subcuts[i]
newsubsample.group = subgroups[i]
if sampleType != 'DATA':
newsubsample.sf = float(subsfs[i])
newsubsample.xsec = float(subxsecs[i])
newsamples.append(newsubsample)
self._samplelist.extend(newsamples)
self._samplelist.append(newsample)
else:
if sampleType != 'DATA':
newsample.xsec = eval((config.get(sample, 'xSec')))
newsample.sf = eval((config.get(sample, 'SF')))
newsample.group = config.get(sample, 'sampleGroup')
self._samplelist.append(newsample)
def __init__(self,samples_config,samples_path,config=None):
'''
Methode filling a list of Sample "self._samplelist = []" contained in the class.
"sample_path" contains the path where the samples are stored (PREPin).
"samples_config" is the "samples_nosplit.cfg" file. Depending of the variable "run_on_files" defined in "samples_nosplit.cfg",
the sample list are generated from the input folder (PREPin) or the list in "samples_nosplit.cfg" '''
self.debug = 'XBBDEBUG' in os.environ
if not config:
if self.debug:
print "Start getting infos on all the samples (ParseInfo)"
print "==================================================\n"
print 'samples_config is', samples_config
try:
os.stat(samples_config)
except:
raise Exception('config file is wrong/missing')
# if no config object given, read full config again
# this should be avoided by passing config object to ParseInfo class
pathConfig = '/'.join(samples_config.split('/')[:-1]) + '/paths.ini'
if os.path.isfile(pathConfig):
config = BetterConfigParser()
config.read(pathConfig)
configList = config.get('Configuration', 'List').split(' ')
for configFileName in configList:
configFileName = '/'.join(samples_config.split('/')[:-1]) + '/' + configFileName
if os.path.isfile(configFileName):
config.read(configFileName)
if self.debug:
print "WARNING (performance): whole config read again, pass the config obect to ParseInfo class to avoid this."
else:
# old behavior: read only one file, config might be inconsistent
config = BetterConfigParser()
config.read(samples_config)
elif self.debug:
print "DEBUG: config object passed to sample parser."
lumi = float(config.get('General','lumi'))
self._samplelist = []
self.__fileslist = []
configSamples = [x for x in config.sections() if config.has_option(x, 'sampleName')]
if self.debug:
print "DEBUG:", len(configSamples), " samples found."
for sample in configSamples:
sampleName = config.get(sample, 'sampleName')
sampleType = config.get(sample,'sampleType')
cut = config.get(sample, 'cut')
specialweight = config.get(sample, 'specialweight') if config.has_option(sample, 'specialweight') else "1"
fullname = config.get(sample, 'sampleName')
mergeCachingSize = int(config.get(sample, 'mergeCachingSize')) if config.has_option(sample, 'mergeCachingSize') else -1
#fill the sample
newsample = Sample(sampleName, sampleType)
newsample.addtreecut = cut
newsample.identifier = sample
newsample.weightexpression = ''
newsample.specialweight = specialweight
newsample.lumi = lumi
newsample.prefix = ''
newsample.FullName = sampleName
if mergeCachingSize > 0:
newsample.mergeCachingSize = mergeCachingSize
if config.has_option(sample, 'skipParts'):
newsample.skipParts = eval(config.get(sample, 'skipParts'))
newsample.index = eval(config.get(sample, 'sampleIndex')) if config.has_option(sample, 'sampleIndex') else -999999
# add and fill all the subsamples
if config.has_option(sample,'subsamples') and eval(config.get(sample,'subsamples')):
subgroups = eval((config.get(sample,'sampleGroup')))
try:
subnames = eval((config.get(sample, 'subnames')))
except:
# create subnames automatically based on subgroup name to avoid duplication
try:
shortname = config.get(sample, 'shortname').strip()
except:
# use full name if no short name given
shortname = sampleName
subnames = [shortname + '_' + x for x in subgroups]
subcuts = eval((config.get(sample, 'subcuts')))
if sampleType != 'DATA':
subxsecs = eval((config.get(sample, 'xSec')))
if len(list(set(subxsecs))) == 1:
newsample.xsec = [subxsecs[0]]
else:
print "\x1b[31mWARNING: different cross sections for the sub-samples of", sampleName, " are you sure you want to do this?\x1b[0m"
subsfs = eval((config.get(sample, 'SF'))) if config.has_option(sample, 'SF') else [1.0]*len(subxsecs)
try:
subspecialweights = eval((config.get(sample, 'specialweight')))
#print 'specialweights=', subspecialweights
if len(subspecialweights) < 2:
subspecialweights = []
print "\x1b[31mWARNING: specialweight not defined for subsamples but for full sample only!\x1b[0m"
except:
subspecialweights = []
subindices = None
newsamples = []
for i,cut in enumerate(subcuts):
newsubsample = copy(newsample)
newsubsample.subsample = True
newsubsample.name = subnames[i]
newsubsample.subcut = subcuts[i]
newsubsample.group = subgroups[i]
if sampleType != 'DATA':
newsubsample.sf = float(subsfs[i])
newsubsample.xsec = float(subxsecs[i])
if len(subspecialweights) == len(subcuts):
newsubsample.specialweight = subspecialweights[i]
if type(newsample.index) == list:
newsubsample.index = newsample.index[i]
newsamples.append(newsubsample)
self._samplelist.extend(newsamples)
self._samplelist.append(newsample)
else:
if sampleType != 'DATA':
newsample.xsec = eval((config.get(sample,'xSec')))
newsample.sf = eval((config.get(sample, 'SF'))) if config.has_option(sample, 'SF') else 1.0
newsample.group = config.get(sample,'sampleGroup')
self._samplelist.append(newsample)
def __init__(self, samples_config, samples_path):
'''
Methode filling a list of Sample "self._samplelist = []" contained in the class.
"sample_path" contains the path where the samples are stored (PREPin).
"samples_config" is the "samples_nosplit.cfg" file. Depending of the variable "run_on_files" defined in "samples_nosplit.cfg",
the sample list are generated from the input folder (PREPin) or the list in "samples_nosplit.cfg" '''
print "Start getting infos on all the samples (ParseInfo)"
print "==================================================\n"
print 'samples_config is', samples_config
try:
os.stat(samples_config)
except:
raise Exception('config file is wrong/missing')
if '/pnfs/psi.ch/cms/' in samples_path:
T3 = True
_, p2 = samples_path.split('/pnfs/')
t3_path = '/pnfs/' + p2.strip('\n')
else:
T3 = False
config = BetterConfigParser()
config.read(samples_config)
newprefix = config.get('General', 'newprefix')
lumi = float(config.get('General', 'lumi'))
weightexpression = config.get('General', 'weightexpression')
self._samplelist = []
#!! Store the list of input samples in __fileslist. Reads them directly from the folder defined in PREPin
self.__fileslist = []
# print 'T3',T3,'samples_path',samples_path,'t3_path',t3_path
if T3:
ls = os.popen("ls " + t3_path)
else:
ls = os.popen("ls " + samples_path)
#print 'will start the loop over the lines.'
#print ls.read()
for line in ls.readlines():
#print 'loop over the lines'
if ('.root' in line):
truncated_line = line[line.rfind('/') + 1:]
_p = findnth(truncated_line, '.', 2)
self.__fileslist.append(
truncated_line[_p + 1:truncated_line.rfind('.')])
#print 'added a new line !'
print '@DEBUG: ' + str(self.__fileslist)
#Deleteme: Do a loop to check on __fileslist
#Start the loop
#for i in range(0,len(self.__fileslist)):
#print 'Is the ',i ,'th file None ? Answer:', (self.__fileslist[i] == None)
#End Deleteme
run_on_fileList = eval(
config.get('Samples_running', 'run_on_fileList'
)) #Evaluate run_on_fileList from samples_nosplit.cfg
#print 'Is Sample None ? Answer: ', (self.__fileslist == None)
if (not test_samples(
run_on_fileList, self.__fileslist,
config.sections())): # stop if it finds None as sample
sys.exit(
'@ERROR: Sample == None. Check RunOnFileList flag in section General, the sample_config of the sample directory.'
)
#!! Start to loop over the samples. If run_on_files list is true, use the sample from the PREPin folder (_listed_file).
#!! Else use the sample from samples_nosplit.cfg (_config_entry).
#!! The sample description from samples_nosplit.cfg are then applied.
for _listed_file, _config_entry in map(None, self.__fileslist,
config.sections()):
if (run_on_fileList):
_sample = _listed_file
self._list = self.__fileslist
else:
_sample = _config_entry
self._list = config.sections()
sample = self.checkSplittedSample(
_sample) #Check if is splitted and remove the _
if not config.has_option(sample, 'sampleName'):
continue #Check if the sample has the infile parameter. If not skip
infile = _sample
# print 'infile',infile
sampleName = config.get(sample, 'sampleName')
check_correspondency(
sample, self._list,
config) #Check if the sample exists, not fully understood yet
#Initialize samplecalss element
sampleType = config.get(sample, 'sampleType')
cut = config.get(sample, 'cut')
if config.has_option(sample, 'specialweight'):
specialweight = config.get(sample, 'specialweight')
else:
specialweight = "1"
#fill the sample
newsample = Sample(sampleName, sampleType)
newsample.addtreecut = cut
newsample.identifier = infile
newsample.weightexpression = weightexpression
newsample.specialweight = specialweight
newsample.lumi = lumi
newsample.prefix = newprefix
#add and fills all the subsamples
if eval(config.get(sample, 'subsamples')):
subnames = eval((config.get(sample, 'subnames')))
subcuts = eval((config.get(sample, 'subcuts')))
subgroups = eval((config.get(sample, 'sampleGroup')))
if sampleType != 'DATA':
subxsecs = eval((config.get(sample, 'xSec')))
subsfs = eval((config.get(sample, 'SF')))
newsamples = []
for i, cut in enumerate(subcuts):
newsubsample = copy(newsample)
newsubsample.subsample = True
newsubsample.name = subnames[i]
newsubsample.subcut = subcuts[i]
newsubsample.group = subgroups[i]
if sampleType != 'DATA':
newsubsample.sf = float(subsfs[i])
newsubsample.xsec = float(subxsecs[i])
newsamples.append(newsubsample)
self._samplelist.extend(newsamples)
self._samplelist.append(newsample)
else:
if sampleType != 'DATA':
newsample.xsec = eval((config.get(sample, 'xSec')))
newsample.sf = eval((config.get(sample, 'SF')))
newsample.group = config.get(sample, 'sampleGroup')
self._samplelist.append(newsample)
print "Finished getting infos on all the samples (ParseInfo)"
print "=====================================================\n"
