def promptReco(self, globalTag, **args):
"""
_promptReco_
Collision data, data scouting (dst stream).
This method provides the scheleton process for the dataScouting.
dpiparo 17-7-2012
I follow the structure of the package.
"""
options = Options()
options.scenario = 'pp'
options.__dict__.update(defaultOptions.__dict__)
options.step = 'DQM:DQM/DataScouting/dataScouting_cff.dataScoutingDQMSequence,ENDJOB'
dictIO(options,args)
options.conditions = gtNameAndConnect(globalTag, args)
process = cms.Process('DataScouting', self.eras)
cb = ConfigBuilder(options, process = process, with_output = True)
# Input source
process.source = cms.Source("PoolSource",
fileNames = cms.untracked.vstring()
)
cb.prepare()
return process
def expressProcessing(self, globalTag, **args):
"""
_expressProcessing_
Proton collision data taking express processing
"""
skims = args['skims']
# the AlCaReco skims for PCL should only run during AlCaSkimming step which uses the same configuration on the Tier0 side, for this reason we drop them here
pclWkflws = [x for x in skims if "PromptCalibProd" in x]
for wfl in pclWkflws:
skims.remove(wfl)
step = stepALCAPRODUCER(skims)
dqmStep= dqmSeq(args,'')
options = Options()
options.__dict__.update(defaultOptions.__dict__)
options.scenario = self.cbSc
options.step = 'RAW2DIGI,L1Reco,RECO'+step+',DQM'+dqmStep+',ENDJOB'
dictIO(options,args)
options.conditions = gtNameAndConnect(globalTag, args)
options.filein = 'tobeoverwritten.xyz'
if 'inputSource' in args:
options.filetype = args['inputSource']
process = cms.Process('RECO')
cb = ConfigBuilder(options, process = process, with_output = True, with_input = True)
cb.prepare()
addMonitoring(process)
return process
def alcaHarvesting(self, globalTag, datasetName, **args):
"""
_alcaHarvesting_
Proton collisions data taking AlCa Harvesting
"""
skims = []
if 'skims' in args:
skims = args['skims']
if 'alcapromptdataset' in args:
skims.append('@' + args['alcapromptdataset'])
if len(skims) == 0: return None
options = defaultOptions
options.scenario = self.cbSc if hasattr(
self, 'cbSc') else self.__class__.__name__
options.step = "ALCAHARVEST:" + ('+'.join(skims))
options.name = "ALCAHARVEST"
options.conditions = gtNameAndConnect(globalTag, args)
process = cms.Process("ALCAHARVEST", self.eras)
process.source = cms.Source("PoolSource")
if 'customs' in args:
options.customisation_file = args['customs']
configBuilder = ConfigBuilder(options, process=process)
configBuilder.prepare()
process.source.processingMode = cms.untracked.string('RunsAndLumis')
process.source.fileNames = cms.untracked(cms.vstring())
process.maxEvents.input = -1
process.dqmSaver.workflow = datasetName
return process
def dqmHarvesting(self, datasetName, runNumber, globalTag, **args):
"""
_dqmHarvesting_
Proton collisions data taking DQM Harvesting
"""
options = defaultOptions
options.scenario = "pp"
options.step = "HARVESTING:alcaHarvesting"
options.name = "EDMtoMEConvert"
options.conditions = gtNameAndConnect(globalTag, args)
process = cms.Process("HARVESTING", self.eras)
process.source = dqmIOSource(args)
configBuilder = ConfigBuilder(options, process=process)
configBuilder.prepare()
#
# customise process for particular job
#
#process.source.processingMode = cms.untracked.string('RunsAndLumis')
#process.source.fileNames = cms.untracked(cms.vstring())
#process.maxEvents.input = -1
#process.dqmSaver.workflow = datasetName
#process.dqmSaver.saveByLumiSection = 1
#if args.has_key('referenceFile') and args.get('referenceFile', ''):
# process.DQMStore.referenceFileName = \
# cms.untracked.string(args['referenceFile'])
harvestingMode(process, datasetName, args)
return process
def promptReco(self, globalTag, **args):
"""
_promptReco_
Proton collision data taking prompt reco
"""
step = stepALCAPRODUCER(args['skims'])
dqmStep= dqmSeq(args,'')
options = Options()
options.__dict__.update(defaultOptions.__dict__)
options.scenario = self.cbSc
options.step = 'RAW2DIGI,L1Reco,RECO'+self.recoSeq+step+',DQM'+dqmStep+',ENDJOB'
dictIO(options,args)
options.conditions = gtNameAndConnect(globalTag, args)
process = cms.Process('RECO')
cb = ConfigBuilder(options, process = process, with_output = True)
# Input source
process.source = cms.Source("PoolSource",
fileNames = cms.untracked.vstring()
)
cb.prepare()
addMonitoring(process)
return process
def promptReco(self, globalTag, **args):
"""
_promptReco_
Collision data, data scouting (dst stream).
This method provides the scheleton process for the dataScouting.
dpiparo 17-7-2012
I follow the structure of the package.
"""
options = Options()
options.scenario = 'pp'
options.__dict__.update(defaultOptions.__dict__)
options.step = 'DQM:DQM/DataScouting/dataScouting_cff.dataScoutingDQMSequence,ENDJOB'
dictIO(options,args)
options.conditions = gtNameAndConnect(globalTag, args)
process = cms.Process('DataScouting')
cb = ConfigBuilder(options, process = process, with_output = True)
# Input source
process.source = cms.Source("PoolSource",
fileNames = cms.untracked.vstring()
)
cb.prepare()
return process
def dqmHarvesting(self, datasetName, runNumber, globalTag, **args):
"""
_dqmHarvesting_
Proton collisions data taking DQM Harvesting
"""
options = defaultOptions
options.scenario = "pp"
options.step = "HARVESTING:alcaHarvesting"
options.name = "EDMtoMEConvert"
options.conditions = gtNameAndConnect(globalTag, args)
process = cms.Process("HARVESTING", self.eras)
process.source = dqmIOSource(args)
configBuilder = ConfigBuilder(options, process = process)
configBuilder.prepare()
#
# customise process for particular job
#
#process.source.processingMode = cms.untracked.string('RunsAndLumis')
#process.source.fileNames = cms.untracked(cms.vstring())
#process.maxEvents.input = -1
#process.dqmSaver.workflow = datasetName
#process.dqmSaver.saveByLumiSection = 1
#if args.has_key('referenceFile') and args.get('referenceFile', ''):
# process.DQMStore.referenceFileName = \
# cms.untracked.string(args['referenceFile'])
harvestingMode(process,datasetName,args)
return process
def promptReco(self, globalTag, **args):
if not 'skims' in args:
args['skims']=self.skims
if not 'customs' in args:
args['customs']= [ ]
options = Options()
options.__dict__.update(defaultOptions.__dict__)
options.scenario = "pp"
dictIO(options,args)
options.conditions = gtNameAndConnect(globalTag, args)
if 'customs' in args:
print(args['customs'])
options.customisation_file=args['customs']
options.step += stepALCAPRODUCER(args['skims'])
process = cms.Process('RECO', cms.ModifierChain(self.eras) )
cb = ConfigBuilder(options, process = process, with_output = True)
# Input source
process.source = cms.Source("PoolSource",
fileNames = cms.untracked.vstring()
)
cb.prepare()
return process
def visualizationProcessing(self, globalTag, **args):
"""
_visualizationProcessing_
"""
options = Options()
options.__dict__.update(defaultOptions.__dict__)
options.scenario = self.cbSc
# FIXME: do we need L1Reco here?
options.step = ''
if 'preFilter' in args:
options.step += 'FILTER:' + args['preFilter'] + ','
eiStep = ''
if 'beamSplashRun' in args:
options.step += 'RAW2DIGI,L1Reco,RECO' + args[
'beamSplashRun'] + ',ENDJOB'
print("Using RECO%s step in visualizationProcessing" %
args['beamSplashRun'])
else:
options.step += 'RAW2DIGI,L1Reco,RECO' + eiStep + ',ENDJOB'
dictIO(options, args)
options.conditions = gtNameAndConnect(globalTag, args)
options.timeoutOutput = True
# FIXME: maybe can go...maybe not
options.filein = 'tobeoverwritten.xyz'
if 'inputSource' in args:
options.filetype = args['inputSource']
else:
# this is the default as this is what is needed on the OnlineCluster
options.filetype = 'DQMDAQ'
print("Using %s source" % options.filetype)
process = cms.Process('RECO',
cms.ModifierChain(self.eras, self.visModifiers))
if 'customs' in args:
options.customisation_file = args['customs']
self._checkRepackedFlag(options, **args)
cb = ConfigBuilder(options,
process=process,
with_output=True,
with_input=True)
cb.prepare()
# FIXME: not sure abou this one...drop for the moment
# addMonitoring(process)
return process
def promptReco(self, globalTag, **args):
"""
_promptReco_
Proton collision data taking prompt reco
"""
step = stepALCAPRODUCER(args['skims'])
PhysicsSkimStep = ''
if ("PhysicsSkims" in args) :
PhysicsSkimStep = stepSKIMPRODUCER(args['PhysicsSkims'])
dqmStep = dqmSeq(args,'')
options = Options()
options.__dict__.update(defaultOptions.__dict__)
options.scenario = self.cbSc
if ('nThreads' in args) :
options.nThreads=args['nThreads']
miniAODStep=''
# if miniAOD is asked for - then retrieve the miniaod config
if 'outputs' in args:
for a in args['outputs']:
if a['dataTier'] == 'MINIAOD':
miniAODStep=',PAT'
"""
Unscheduled for all
"""
options.runUnscheduled=True
self._checkRepackedFlag(options, **args)
if 'customs' in args:
options.customisation_file=args['customs']
eiStep=''
if self.addEI:
eiStep=',EI'
options.step = 'RAW2DIGI,L1Reco,RECO'+self.recoSeq+eiStep+step+PhysicsSkimStep+miniAODStep+',DQM'+dqmStep+',ENDJOB'
dictIO(options,args)
options.conditions = gtNameAndConnect(globalTag, args)
process = cms.Process('RECO', cms.ModifierChain(self.eras, self.promptModifiers) )
cb = ConfigBuilder(options, process = process, with_output = True)
# Input source
process.source = cms.Source("PoolSource",
fileNames = cms.untracked.vstring()
)
cb.prepare()
addMonitoring(process)
return process
def promptReco(self, globalTag, **args):
"""
_promptReco_
Proton collision data taking prompt reco
"""
step = stepALCAPRODUCER(args['skims'])
PhysicsSkimStep = ''
if ("PhysicsSkims" in args) :
PhysicsSkimStep = stepSKIMPRODUCER(args['PhysicsSkims'])
dqmStep = dqmSeq(args,'')
options = Options()
options.__dict__.update(defaultOptions.__dict__)
options.scenario = self.cbSc
if ('nThreads' in args) :
options.nThreads=args['nThreads']
miniAODStep=''
# if miniAOD is asked for - then retrieve the miniaod config
if 'outputs' in args:
for a in args['outputs']:
if a['dataTier'] == 'MINIAOD':
miniAODStep=',PAT'
"""
Unscheduled for all
"""
options.runUnscheduled=True
self._checkRepackedFlag(options, **args)
if 'customs' in args:
options.customisation_file=args['customs']
eiStep=''
if self.addEI:
eiStep=',EI'
options.step = 'RAW2DIGI,L1Reco,RECO'+self.recoSeq+eiStep+step+PhysicsSkimStep+miniAODStep+',DQM'+dqmStep+',ENDJOB'
dictIO(options,args)
options.conditions = gtNameAndConnect(globalTag, args)
process = cms.Process('RECO', cms.ModifierChain(self.eras, self.promptModifiers) )
cb = ConfigBuilder(options, process = process, with_output = True)
# Input source
process.source = cms.Source("PoolSource",
fileNames = cms.untracked.vstring()
)
cb.prepare()
addMonitoring(process)
return process
def visualizationProcessing(self, globalTag, **args):
"""
_visualizationProcessing_
"""
options = Options()
options.__dict__.update(defaultOptions.__dict__)
options.scenario = self.cbSc
# FIXME: do we need L1Reco here?
options.step =''
if 'preFilter' in args:
options.step +='FILTER:'+args['preFilter']+','
eiStep=''
if self.cbSc == 'pp':
eiStep=',EI'
options.step += 'RAW2DIGI,L1Reco,RECO'+eiStep+',ENDJOB'
dictIO(options,args)
options.conditions = gtNameAndConnect(globalTag, args)
options.timeoutOutput = True
# FIXME: maybe can go...maybe not
options.filein = 'tobeoverwritten.xyz'
if 'inputSource' in args:
options.filetype = args['inputSource']
else:
# this is the default as this is what is needed on the OnlineCluster
options.filetype = 'DQMDAQ'
print "Using %s source"%options.filetype
process = cms.Process('RECO', cms.ModifierChain(self.eras, self.visModifiers) )
if 'customs' in args:
options.customisation_file=args['customs']
self._checkRepackedFlag(options, **args)
cb = ConfigBuilder(options, process = process, with_output = True, with_input = True)
cb.prepare()
# FIXME: not sure abou this one...drop for the moment
# addMonitoring(process)
return process
def skimming(self, skims, globalTag,**options):
"""
_skimming_
skimming method overload for the prompt skiming
"""
options = defaultOptions
options.scenario = self.cbSc if hasattr(self,'cbSc') else self.__class__.__name__
options.step = "SKIM:"+('+'.join(skims))
options.name = "SKIM"
options.conditions = gtNameAndConnect(globalTag, args)
process = cms.Process("SKIM")
process.source = cms.Source("PoolSource")
configBuilder = ConfigBuilder(options, process = process)
configBuilder.prepare()
return process
def promptReco(self, globalTag, **args):
"""
_promptReco_
Proton collision data taking prompt reco
"""
step = stepALCAPRODUCER(args['skims'])
dqmStep= dqmSeq(args,'')
options = Options()
options.__dict__.update(defaultOptions.__dict__)
options.scenario = self.cbSc
miniAODStep=''
# if miniAOD is asked for - then retrieve the miniaod config
if 'outputs' in args:
for a in args['outputs']:
if a['dataTier'] == 'MINIAOD':
miniAODStep=',PAT'
options.runUnscheduled=True
if 'customs' in args:
options.customisation_file=args['customs']
options.step = 'RAW2DIGI,L1Reco,RECO'+self.recoSeq+step+miniAODStep+',DQM'+dqmStep+',ENDJOB'
dictIO(options,args)
options.conditions = gtNameAndConnect(globalTag, args)
process = cms.Process('RECO')
cb = ConfigBuilder(options, process = process, with_output = True)
# Input source
process.source = cms.Source("PoolSource",
fileNames = cms.untracked.vstring()
)
cb.prepare()
addMonitoring(process)
return process
def visualizationProcessing(self, globalTag, **args):
"""
_visualizationProcessing_
"""
options = Options()
options.__dict__.update(defaultOptions.__dict__)
options.scenario = self.cbSc
# FIXME: do we need L1Reco here?
options.step =''
if 'preFilter' in args:
options.step +='FILTER:'+args['preFilter']+','
options.step += 'RAW2DIGI,L1Reco,RECO,ENDJOB'
dictIO(options,args)
options.conditions = gtNameAndConnect(globalTag, args)
options.timeoutOutput = True
# FIXME: maybe can go...maybe not
options.filein = 'tobeoverwritten.xyz'
if 'inputSource' in args:
options.filetype = args['inputSource']
else:
# this is the default as this is what is needed on the OnlineCluster
options.filetype = 'DQMDAQ'
print "Using %s source"%options.filetype
process = cms.Process('RECO')
cb = ConfigBuilder(options, process = process, with_output = True, with_input = True)
cb.prepare()
# FIXME: not sure abou this one...drop for the moment
# addMonitoring(process)
return process
def dqmHarvesting(self, datasetName, runNumber, globalTag, **args):
"""
_dqmHarvesting_
Proton collisions data taking DQM Harvesting
"""
options = defaultOptions
options.scenario = "pp"
options.step = "HARVESTING:alcaHarvesting"
options.name = "EDMtoMEConvert"
options.conditions = gtNameAndConnect(globalTag, args)
process = cms.Process("HARVESTING", self.eras)
process.source = dqmIOSource(args)
configBuilder = ConfigBuilder(options, process=process)
configBuilder.prepare()
harvestingMode(process, datasetName, args)
return process
def dqmHarvesting(self, datasetName, runNumber, globalTag, **args):
"""
_dqmHarvesting_
Proton collisions data taking DQM Harvesting
"""
options = defaultOptions
options.scenario = 'pp'
options.step = "HARVESTING"+dqmSeq(args,':DQMOffline')
options.name = "EDMtoMEConvert"
options.conditions = gtNameAndConnect(globalTag, args)
process = cms.Process("HARVESTING", self.eras)
process.source = dqmIOSource(args)
configBuilder = ConfigBuilder(options, process = process)
configBuilder.prepare()
harvestingMode(process,datasetName,args,rANDl=False)
return process
def promptReco(self, globalTag, **args):
if not 'skims' in args:
args['skims']=self.skims
step = stepALCAPRODUCER(args['skims'])
options = Options()
options.__dict__.update(defaultOptions.__dict__)
options.scenario = "pp"
options.step = step
dictIO(options,args)
options.conditions = gtNameAndConnect(globalTag, args)
process = cms.Process('RECO', self.eras)
cb = ConfigBuilder(options, process = process, with_output = True)
# Input source
process.source = cms.Source("PoolSource",
fileNames = cms.untracked.vstring()
)
cb.prepare()
return process
def promptReco(self, globalTag, **args):
if not 'skims' in args:
args['skims']=self.skims
step = stepALCAPRODUCER(args['skims'])
options = Options()
options.__dict__.update(defaultOptions.__dict__)
options.scenario = "pp"
options.step = step
dictIO(options,args)
options.conditions = gtNameAndConnect(globalTag, args)
process = cms.Process('RECO')
cb = ConfigBuilder(options, process = process, with_output = True)
# Input source
process.source = cms.Source("PoolSource",
fileNames = cms.untracked.vstring()
)
cb.prepare()
return process
def alcaHarvesting(self, globalTag, datasetName, **args):
"""
_alcaHarvesting_
Proton collisions data taking AlCa Harvesting
"""
skims = []
if 'skims' in args:
skims = args['skims']
if 'alcapromptdataset' in args:
skims.append('@'+args['alcapromptdataset'])
if len(skims) == 0: return None
options = defaultOptions
options.scenario = self.cbSc if hasattr(self,'cbSc') else self.__class__.__name__
options.step = "ALCAHARVEST:"+('+'.join(skims))
options.name = "ALCAHARVEST"
options.conditions = gtNameAndConnect(globalTag, args)
process = cms.Process("ALCAHARVEST", self.eras)
process.source = cms.Source("PoolSource")
if 'customs' in args:
options.customisation_file=args['customs']
configBuilder = ConfigBuilder(options, process = process)
configBuilder.prepare()
#
# customise process for particular job
#
process.source.processingMode = cms.untracked.string('RunsAndLumis')
process.source.fileNames = cms.untracked(cms.vstring())
process.maxEvents.input = -1
process.dqmSaver.workflow = datasetName
return process
def dqmHarvesting(self, datasetName, runNumber, globalTag, **args):
"""
_dqmHarvesting_
Proton collisions data taking DQM Harvesting
"""
options = defaultOptions
options.scenario = self.cbSc
options.step = "HARVESTING"+dqmSeq(args,':dqmHarvesting')
options.name = "EDMtoMEConvert"
options.conditions = gtNameAndConnect(globalTag, args)
process = cms.Process("HARVESTING")
process.source = dqmIOSource(args)
if 'customs' in args:
options.customisation_file=args['customs']
configBuilder = ConfigBuilder(options, process = process)
configBuilder.prepare()
harvestingMode(process,datasetName,args,rANDl=False)
return process
def dqmHarvesting(self, datasetName, runNumber, globalTag, **args):
"""
_dqmHarvesting_
Proton collisions data taking DQM Harvesting
"""
options = defaultOptions
options.scenario = self.cbSc
options.step = "HARVESTING" + dqmSeq(args, ':dqmHarvesting')
options.name = "EDMtoMEConvert"
options.conditions = gtNameAndConnect(globalTag, args)
process = cms.Process("HARVESTING", self.eras)
process.source = dqmIOSource(args)
if 'customs' in args:
options.customisation_file = args['customs']
configBuilder = ConfigBuilder(options, process=process)
configBuilder.prepare()
harvestingMode(process, datasetName, args, rANDl=False)
return process
def expressProcessing(self, globalTag, **args):
"""
_expressProcessing_
Proton collision data taking express processing
"""
skims = []
if 'skims' in args:
skims = args['skims']
pclWkflws = [x for x in skims if "PromptCalibProd" in x]
for wfl in pclWkflws:
skims.remove(wfl)
options = Options()
options.__dict__.update(defaultOptions.__dict__)
options.scenario = "pp"
options.step = stepALCAPRODUCER(skims)
if 'outputs' in args:
# the RAW data-tier needs a special treatment since the event-content as defined in release is not good enough
outputs_Raw = [x for x in args['outputs'] if x['dataTier'] == 'RAW']
outputs_noRaw = [x for x in args['outputs'] if x['dataTier'] != 'RAW']
if len(outputs_Raw) == 1:
print('RAW data-tier requested')
options.outputDefinition = outputs_noRaw.__str__()
options.conditions = gtNameAndConnect(globalTag, args)
options.filein = 'tobeoverwritten.xyz'
if 'inputSource' in args:
options.filetype = args['inputSource']
process = cms.Process('RECO', self.eras)
if 'customs' in args:
options.customisation_file=args['customs']
cb = ConfigBuilder(options, process = process, with_output = True, with_input = True)
cb.prepare()
addMonitoring(process)
for output in outputs_Raw:
print(output)
moduleLabel = output['moduleLabel']
selectEvents = output.get('selectEvents', None)
maxSize = output.get('maxSize', None)
outputModule = cms.OutputModule(
"PoolOutputModule",
fileName = cms.untracked.string("%s.root" % moduleLabel)
)
outputModule.dataset = cms.untracked.PSet(dataTier = cms.untracked.string("RAW"))
if maxSize != None:
outputModule.maxSize = cms.untracked.int32(maxSize)
if selectEvents != None:
outputModule.SelectEvents = cms.untracked.PSet(
SelectEvents = cms.vstring(selectEvents)
)
outputModule.outputCommands = cms.untracked.vstring('drop *',
'keep *_*_*_HLT')
setattr(process, moduleLabel, outputModule)
setattr(process, moduleLabel+'_step', cms.EndPath(outputModule))
path = getattr(process, moduleLabel+'_step')
process.schedule.append(path)
return process
def expressProcessing(self, globalTag, **args):
"""
_expressProcessing_
Proton collision data taking express processing
"""
skims = []
if 'skims' in args:
skims = args['skims']
pclWkflws = [x for x in skims if "PromptCalibProd" in x]
for wfl in pclWkflws:
skims.remove(wfl)
options = Options()
options.__dict__.update(defaultOptions.__dict__)
options.scenario = "pp"
options.step = stepALCAPRODUCER(skims)
if 'outputs' in args:
# the RAW data-tier needs a special treatment since the event-content as defined in release is not good enough
outputs_Raw = [x for x in args['outputs'] if x['dataTier'] == 'RAW']
outputs_noRaw = [x for x in args['outputs'] if x['dataTier'] != 'RAW']
if len(outputs_Raw) == 1:
print('RAW data-tier requested')
options.outputDefinition = outputs_noRaw.__str__()
# dictIO(options,args)
options.conditions = gtNameAndConnect(globalTag, args)
options.filein = 'tobeoverwritten.xyz'
if 'inputSource' in args:
options.filetype = args['inputSource']
process = cms.Process('RECO', self.eras)
if 'customs' in args:
options.customisation_file=args['customs']
cb = ConfigBuilder(options, process = process, with_output = True, with_input = True)
cb.prepare()
addMonitoring(process)
for output in outputs_Raw:
print(output)
moduleLabel = output['moduleLabel']
selectEvents = output.get('selectEvents', None)
maxSize = output.get('maxSize', None)
outputModule = cms.OutputModule(
"PoolOutputModule",
fileName = cms.untracked.string("%s.root" % moduleLabel)
)
outputModule.dataset = cms.untracked.PSet(dataTier = cms.untracked.string("RAW"))
if maxSize != None:
outputModule.maxSize = cms.untracked.int32(maxSize)
if selectEvents != None:
outputModule.SelectEvents = cms.untracked.PSet(
SelectEvents = cms.vstring(selectEvents)
)
outputModule.outputCommands = cms.untracked.vstring('drop *',
'keep *_*_*_HLT')
setattr(process, moduleLabel, outputModule)
# outputModule=getattr(self.process,theModuleLabel)
setattr(process, moduleLabel+'_step', cms.EndPath(outputModule))
path = getattr(process, moduleLabel+'_step')
process.schedule.append(path)
return process
