本文整理匯總了Python中Configurables.DaVinci.add_line_tuple_sequence方法的典型用法代碼示例。如果您正苦於以下問題：Python DaVinci.add_line_tuple_sequence方法的具體用法？Python DaVinci.add_line_tuple_sequence怎麽用？Python DaVinci.add_line_tuple_sequence使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類Configurables.DaVinci的用法示例。
在下文中一共展示了DaVinci.add_line_tuple_sequence方法的2個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: __init__
# 需要導入模塊: from Configurables import DaVinci [as 別名]
# 或者: from Configurables.DaVinci import add_line_tuple_sequence [as 別名]
def __init__(self, fname, version, linename, datafile, explicitTags = False,
useTrackScaleState = True,
toolList = ["TupleToolPropertime",
"TupleToolKinematic",
"TupleToolGeometry",
"TupleToolEventInfo",
"TupleToolPrimaries",
"TupleToolPid",
"TupleToolANNPID",
"TupleToolTrackInfo",
"TupleToolRecoStats",],
mcToolList = ['TupleToolMCTruth',
'TupleToolMCBackgroundInfo',
'MCTupleToolPrompt'],
L0List = [],
HLT1List = [],
HLT2List = [],
strippingList = [],
aliases = {},
labXAliases = False,
substitutions = {},
optssuffix = 'settings',
extraopts = '',
extraoptsfile = '',
datatype = None,
diracversion = None,
force = False) :
from Configurables import GaudiSequencer, DaVinci, TupleToolStripping, \
TupleToolTrigger
# Defines Simulation, CondDBtag, DDDBtag, InputType, DataType
dv = DaVinci()
dataopts = get_data_opts(datafile, explicitTags, optssuffix, datatype, diracversion, force)
dv.configure_data_opts(dataopts)
dv.TupleFile = 'DVTuples.root'
dv.HistogramFile = 'DVHistos.root'
dv.Lumi = True
# Can't use TrackScaleState for 2015 data yet as it's not been calibrated.
if useTrackScaleState :
dv.add_TrackScaleState()
# Defines rootInTES, inputLocation, and decayDescs
lineopts = get_line_settings(linename, version, os.path.split(fname)[0], optssuffix, force)
lineopts, lineseq = dv.add_line_tuple_sequence(lineopts,
toolList, mcToolList,
L0List, HLT1List, HLT2List, strippingList,
aliases, labXAliases, substitutions)
dtt = lineseq.Members[-1]
if dataopts['Simulation'] :
mcunbseqs = []
for desc in lineopts['decayDescs'] :
mcunbseq = dv.add_mc_unbiased_sequence(desc)
mcunbseqs.append(mcunbseq)
localns = dict(locals())
localns.update(globals())
if extraopts :
exec extraopts in localns
if extraoptsfile :
execfile(os.path.expandvars(extraoptsfile)) in localns
objsdict = {'dv' : dv}
Script.__init__(self, fname, dv.extraobjs, objsdict)示例2: DaVinci
# 需要導入模塊: from Configurables import DaVinci [as 別名]
# 或者: from Configurables.DaVinci import add_line_tuple_sequence [as 別名]
strippingList = [stripping_line_name(bachelor, baryon) for bachelor in 'Pi', 'K' for baryon in 'Lc', 'Xic']
dv = DaVinci()
dv.TupleFile = 'DVTuples.root'
dv.HistogramFile = 'DVHistos.root'
dv.Lumi = True
dv.configure_data_opts(get_data_opts(args.datafile))
# Substitute PID of the head if it's Xib -> Xic as it's labelled as
# Lb -> Xic in the stripping.
aliases = ['X_b0', 'X_c', 'p', 'K', 'pi', 'bachelorPi']
linesettings, lineseq = \
dv.add_line_tuple_sequence(get_line_settings(linename, args.version),
L0List = args.L0List.split(),
HLT1List = args.HLT1List.split(),
HLT2List = args.HLT2List.split(),
strippingList = strippingList,
aliases = aliases,
substitutions = ({} if args.baryon == 'Lc' else ['Xi_b0']))
lineseq.Members.insert(0, CheckPV(MinPVs = 1))
dtt = lineseq.Members[-1]
dtt.ReFitPVs = True
decayDesc = parse_decay_descriptor(dtt.Decay)
decayDesc.set_aliases(aliases)
xbname = decayDesc.particle.name
xcname = decayDesc.daughters[0].particle.name
dtts = {'' : dtt}
dv.add_TrackScaleState()