本文整理匯總了Python中Ganga.GPIDev.Lib.Job.Job.merger方法的典型用法代碼示例。如果您正苦於以下問題：Python Job.merger方法的具體用法？Python Job.merger怎麽用？Python Job.merger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Ganga.GPIDev.Lib.Job.Job的用法示例。
在下文中一共展示了Job.merger方法的5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: _create_subjob
# 需要導入模塊: from Ganga.GPIDev.Lib.Job import Job [as 別名]
# 或者: from Ganga.GPIDev.Lib.Job.Job import merger [as 別名]
def _create_subjob(self, job, dataset):
logger.debug("_create_subjob")
datatmp = []
logger.debug("dataset size: %s" % str(len(dataset)))
#logger.debug( "dataset: %s" % str(dataset) )
if isinstance(dataset, LHCbDataset):
for i in dataset:
if isType(i, DiracFile):
datatmp.append(i)
else:
logger.error(
"Unkown file-type %s, cannot perform split with file %s" % (type(i), str(i)))
from Ganga.Core.exceptions import GangaException
raise GangaException(
"Unkown file-type %s, cannot perform split with file %s" % (type(i), str(i)))
elif type(dataset) == type([]) or isType(dataset, GangaList()):
for file in dataset:
if type(file) == type(''):
datatmp.append(
allComponentFilters['gangafiles'](file, None))
elif isType(file, IGangaFile):
datatmp.append(file)
else:
logger.error("Unexpected type: %s" % str(type(file)))
logger.error(
"Wanted object to inherit from type: %s: %s" % (str(type(IGangaFile()))))
from Ganga.Core.exceptions import GangaException
x = GangaException(
"Unknown(unexpected) file object: %s" % file)
raise x
elif type(dataset) == type(''):
datatmp.append(DiracFile(lfn=dataset))
else:
logger.error("Unkown dataset type, cannot perform split here")
from Ganga.Core.exceptions import GangaException
logger.error("Dataset found: " + str(dataset))
raise GangaException(
"Unkown dataset type, cannot perform split here")
logger.debug("Creating new Job in Splitter")
j = Job()
logger.debug("Copying From Job")
j.copyFrom(
stripProxy(job), ['inputdata', 'inputsandbox', 'inputfiles'])
logger.debug("Unsetting Splitter")
j.splitter = None
logger.debug("Unsetting Merger")
j.merger = None
# j.inputsandbox = [] ## master added automatically
#j.inputfiles = []
logger.debug("Setting InputData")
j.inputdata = LHCbDataset(files=datatmp[:],
persistency=self.persistency,
depth=self.depth)
#j.inputdata.XMLCatalogueSlice = self.XMLCatalogueSlice
logger.debug("Returning new subjob")
return j示例2: _create_subjob
# 需要導入模塊: from Ganga.GPIDev.Lib.Job import Job [as 別名]
# 或者: from Ganga.GPIDev.Lib.Job.Job import merger [as 別名]
def _create_subjob(self, job, inputdata):
j = Job()
j.copyFrom(job)
j.splitter = None
j.merger = None
j.inputsandbox = [] # master added automatically
j.inputfiles = []
j.inputdata = inputdata
return j示例3: _create_subjob
# 需要導入模塊: from Ganga.GPIDev.Lib.Job import Job [as 別名]
# 或者: from Ganga.GPIDev.Lib.Job.Job import merger [as 別名]
def _create_subjob(self, job, dataset):
logger.debug("_create_subjob")
j = Job()
j.copyFrom(job)
j.splitter = None
j.merger = None
j.inputsandbox = [] # master added automatically
j.inputdata = GaudiDataset(files=dataset)
## if not j.inputdata: j.inputdata = GaudiDataset(files=dataset)
# else: j.inputdata.files = dataset
return j示例4: split
# 需要導入模塊: from Ganga.GPIDev.Lib.Job import Job [as 別名]
# 或者: from Ganga.GPIDev.Lib.Job.Job import merger [as 別名]
def split(self, job):
subjobs = []
for i in range(self.numJobs):
j = Job()
j.copyFrom(job)
j.splitter = None
j.merger = None
j.inputsandbox = [] # master added automatically
subjobs.append(j)
return subjobs示例5: _create_subjob
# 需要導入模塊: from Ganga.GPIDev.Lib.Job import Job [as 別名]
# 或者: from Ganga.GPIDev.Lib.Job.Job import merger [as 別名]
def _create_subjob(self, job, dataset):
logger.debug("_create_subjob")
datatmp = []
if isinstance(dataset, LHCbDataset):
for i in dataset:
if isinstance(i, DiracFile):
datatmp.extend(i)
else:
logger.error(
"Unkown file-type %s, cannot perform split with file %s" % (type(i), str(i)))
from Ganga.Core.exceptions import GangaException
raise GangaException(
"Unkown file-type %s, cannot perform split with file %s" % (type(i), str(i)))
elif isinstance(dataset, list):
from Ganga.GPIDev.Base.Proxy import isType
for i in dataset:
if type(i) is str:
datatmp.append(DiracFile(lfn=i))
elif isType(i, DiracFile()):
datatmp.extend(i)
else:
x = GangaException(
"Unknown(unexpected) file object: %s" % i)
raise x
else:
logger.error("Unkown dataset type, cannot perform split here")
from Ganga.Core.exceptions import GangaException
raise GangaException(
"Unkown dataset type, cannot perform split here")
logger.debug("Creating new Job in Splitter")
j = Job()
j.copyFrom(stripProxy(job))
j.splitter = None
j.merger = None
j.inputsandbox = [] # master added automatically
j.inputfiles = []
j.inputdata = LHCbDataset(files=datatmp[:],
persistency=self.persistency,
depth=self.depth)
j.inputdata.XMLCatalogueSlice = self.XMLCatalogueSlice
return j