本文整理汇总了Python中Configurables.DaVinci.Simulation方法的典型用法代码示例。如果您正苦于以下问题:Python DaVinci.Simulation方法的具体用法?Python DaVinci.Simulation怎么用?Python DaVinci.Simulation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.Simulation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: configure
# 需要导入模块: from Configurables import DaVinci [as 别名]
# 或者: from Configurables.DaVinci import Simulation [as 别名]
def configure(year, mc):
"""General configuration of DaVinci options.
Keyword arguments:
year -- One of lc2pxx.config.years
mc -- True if booking MC ntuples, else false
"""
dv = DaVinci()
# Output ntuple name
dv.TupleFile = "DVntuple.root"
# Process all events
dv.EvtMax = -1
# Print status every 1000 events
dv.PrintFreq = 1000
# Number of events to skip at the beginning of each file
dv.SkipEvents = 0
dv.DataType = str(year)
dv.Simulation = mc
# Collision streams for Charm are on microDST, and in MC
if not mc:
dv.InputType = "MDST"
# See "Question about microDST and RootInTES" in lhcb-davinci
dv.RootInTES = "/Event/Charm"
# Add a GetIntegratedLuminosity/LumiTuple TTree to output, but not in MC
dv.Lumi = not mc
示例2: DaVinci
# 需要导入模块: from Configurables import DaVinci [as 别名]
# 或者: from Configurables.DaVinci import Simulation [as 别名]
return tuple
################
# Configure DaVinci
################
from Configurables import DaVinci, L0Conf
dv = DaVinci()
dv.DataType = '2012'
dv.EvtMax = -1
for line_info in line_infos:
print line_info
tuple = makeDecayTreeTuple( line_info[0], line_info[1], line_info[2], line_info[3] )
dv.UserAlgorithms += [ tuple ]
dv.Simulation = False
#from Configurables import CondDB
#CondDB(UseOracle = True)
DaVinci().DDDBtag = "dddb-20120831"
DaVinci().CondDBtag = "cond-20121211"
DaVinci().EnableUnpack = ['Stripping','Reconstruction']
dv.Lumi = True
dv.HistogramFile = "DVHistos.root" # Histogram file
dv.TupleFile = "DVNtuples.root" # Ntuple
# to test rejecting hot CALO cells
#from Gaudi.Configuration import *
#def recomputeL0Calo():
# from Configurables import L0CaloAlg
# DataOnDemandSvc().AlgMap[ 'Trig/L0/FullCalo' ] = L0CaloAlg( WriteOnTES = True , WriteBanks = False )