本文整理汇总了Python中Configurables.DaVinci.configure_data_opts方法的典型用法代码示例。如果您正苦于以下问题：Python DaVinci.configure_data_opts方法的具体用法？Python DaVinci.configure_data_opts怎么用？Python DaVinci.configure_data_opts使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类Configurables.DaVinci的用法示例。
在下文中一共展示了DaVinci.configure_data_opts方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: __init__
# 需要导入模块: from Configurables import DaVinci [as 别名]
# 或者: from Configurables.DaVinci import configure_data_opts [as 别名]
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: stripping_line_name
# 需要导入模块: from Configurables import DaVinci [as 别名]
# 或者: from Configurables.DaVinci import configure_data_opts [as 别名]
'Hlt2TopoE4BodyBBDT',
'Hlt2TopoRad2BodyBBDT',
'Hlt2TopoRad2plus1BodyBBDT',
'Hlt2IncPhi',
'Hlt2IncPhiSidebands']))
args = argparser.parse_args()
linename = stripping_line_name('Pi', args.baryon)
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]