def __init__(self,
name,
Algorithm,
RequiredSelections=[],
OutputBranch="Phys",
InputDataSetter="Inputs",
OutputDataSetter="Output",
Extension="Particles"):
checkName(name)
UniquelyNamedObject.__init__(self, name)
ClonableObject.__init__(self, locals())
_outputLocation = makeOutputLocation(name=self.name(),
branch=OutputBranch,
leaf=Extension)
alg = Algorithm.clone(name)
SelectionBase.__init__(self,
algorithm=alg,
outputLocation=_outputLocation,
requiredSelections=RequiredSelections)
connectToRequiredSelections(self, InputDataSetter)
setOutputLocation(self, OutputDataSetter)
def __init__(self, name, sequencer, output, requiredSelections):
UniquelyNamedObject.__init__(self, name)
ClonableObject.__init__(self, locals())
SelectionBase.__init__(self,
algorithm=sequencer,
outputLocation=output,
requiredSelections=requiredSelections)
def __init__(self,
name,
ConfGenerator ) :
UniquelyNamedObject.__init__(self, name)
ClonableObject.__init__(self, locals())
SelectionBase.__init__(self,
algorithm =ConfGenerator( self.name() ) ,
outputLocation='',
requiredSelections = [] )
def __init__(self, name, Algorithm, Output, RequiredSelection=[]):
checkName(name)
UniquelyNamedObject.__init__(self, name)
ClonableObject.__init__(self, locals())
alg = Algorithm.clone(name, OutputVerticesName=Output)
SelectionBase.__init__(self,
algorithm=alg,
outputLocation=Output,
requiredSelections=RequiredSelection)
def __init__(self,
name,
ConfGenerator ,
RequiredSelection,
InputDataSetter = None ) :
UniquelyNamedObject.__init__(self, name)
ClonableObject.__init__(self, locals())
SelectionBase.__init__(self,
algorithm =ConfGenerator( self.name() ) ,
outputLocation=RequiredSelection.outputLocation(),
requiredSelections = [RequiredSelection] )
connectToRequiredSelections(self, InputDataSetter)
def __init__(self,
name,
TopSelection,
EventPreSelector = [],
PostSelectionAlgs = [],
sequencerType = DummySequencer) :
UniquelyNamedObject.__init__(self, name)
ClonableObject.__init__(self, locals())
self._algos = list(EventPreSelector)
self._topSelection = TopSelection
self._algos += flatAlgorithmList(TopSelection)
self._algos += PostSelectionAlgs
self._gaudiseq = sequencerType(self.name(), Members = self._algos)
def __init__(self,
name,
ConfGenerator,
RequiredSelections = [],
OutputBranch = "Phys",
InputDataSetter = 'Inputs',
OutputDataSetter = 'Output',
Extension='Particles') :
UniquelyNamedObject.__init__(self, name)
ClonableObject.__init__(self, locals())
_outputLocation = makeOutputLocation(name = self.name(),
branch = OutputBranch,
leaf = Extension)
SelectionBase.__init__(self,
algorithm = ConfGenerator( self.name() ),
outputLocation = _outputLocation,
requiredSelections = RequiredSelections )
connectToRequiredSelections(self, InputDataSetter)
setOutputLocation(self, OutputDataSetter)