def PyExec(self):
alg = self.createChildAlgorithm('ChildAlg')
alg.initialize()
args = {}
kwargs = {}
_set_properties(alg, *args, **kwargs)
alg.execute()
def PyExec(self):
alg = self.createChildAlgorithm('ChildAlg')
alg.initialize()
args = {}
kwargs = {}
_set_properties(alg, *args, **kwargs)
alg.execute()
def PyExec(self):
ws_name = self.getProperty("OutputWorkspace").value
alg = self.createChildAlgorithm('ChildAlg')
alg.initialize()
args = {}
kwargs = {}
_set_properties(alg, *args, **kwargs)
alg.execute()
ws = CreateWorkspace([0, 1, 2], [0, 1, 2], OutputWorkspace=ws_name)
self.setProperty('OutputWorkspace', ws)
def execute(self,
reducer,
inputworkspace=None,
outputworkspace=None):
"""
Create a new instance of the requested algorithm object,
set the algorithm properties replacing the input and output
workspaces.
The execution will work for any combination of mandatory/optional
properties.
@param reducer: Reducer object managing the reduction
@param inputworkspace: input workspace name [optional]
@param outputworkspace: output workspace name [optional]
"""
# If we don't have a data file, look up the workspace handle
if self._data_file is None:
if inputworkspace in reducer._data_files:
data_file = reducer._data_files[inputworkspace]
if data_file is None:
return
else:
raise RuntimeError, "SANSReductionSteps.LoadRun doesn't recognize workspace handle %s" % workspace
else:
data_file = self._data_file
alg = mantid.api.AlgorithmManager.create(algorithm)
if not isinstance(alg, mantid.api.AlgorithmProxy):
raise RuntimeError, "Reducer expects an Algorithm object from FrameworkManager, found '%s'" % str(
type(alg))
propertyOrder = alg.orderedProperties()
# add the args to the kw list so everything can be set in a single way
for (key, arg) in zip(propertyOrder[:len(args)], args):
kwargs[key] = arg
# Override input and output workspaces
if "Workspace" in kwargs:
kwargs["Workspace"] = inputworkspace
if "OutputWorkspace" in kwargs:
kwargs["OutputWorkspace"] = inputworkspace
if "Filename" in kwargs:
kwargs["Filename"] = data_file
if "AlternateName" in kwargs and \
kwargs["AlternateName"] in propertyOrder:
kwargs[kwargs["AlternateName"]] = data_file
self.algorithm = alg
simpleapi._set_properties(alg, *(), **kwargs)
alg.execute()
if "OutputMessage" in propertyOrder:
return alg.getPropertyValue("OutputMessage")
return "%s applied" % alg.name()
def execute(self, reducer, inputworkspace=None, outputworkspace=None):
"""
Create a new instance of the requested algorithm object,
set the algorithm properties replacing the input and output
workspaces.
The execution will work for any combination of mandatory/optional
properties.
@param reducer: Reducer object managing the reduction
@param inputworkspace: input workspace name [optional]
@param outputworkspace: output workspace name [optional]
"""
# If we don't have a data file, look up the workspace handle
if self._data_file is None:
if inputworkspace in reducer._data_files:
data_file = reducer._data_files[inputworkspace]
if data_file is None:
return
else:
raise RuntimeError, "SANSReductionSteps.LoadRun doesn't recognize workspace handle %s" % workspace
else:
data_file = self._data_file
alg = mantid.api.AlgorithmManager.create(algorithm)
if not isinstance(alg, mantid.api.AlgorithmProxy):
raise RuntimeError, "Reducer expects an Algorithm object from FrameworkManager, found '%s'" % str(type(alg))
propertyOrder = alg.orderedProperties()
# add the args to the kw list so everything can be set in a single way
for (key, arg) in zip(propertyOrder[:len(args)], args):
kwargs[key] = arg
# Override input and output workspaces
if "Workspace" in kwargs:
kwargs["Workspace"] = inputworkspace
if "OutputWorkspace" in kwargs:
kwargs["OutputWorkspace"] = inputworkspace
if "Filename" in kwargs:
kwargs["Filename"] = data_file
if "AlternateName" in kwargs and \
kwargs["AlternateName"] in propertyOrder:
kwargs[kwargs["AlternateName"]] = data_file
self.algorithm = alg
simpleapi._set_properties(alg, *(), **kwargs)
alg.execute()
if "OutputMessage" in propertyOrder:
return alg.getPropertyValue("OutputMessage")
return "%s applied" % alg.name()
def execute(self,
reducer,
inputworkspace=None,
outputworkspace=None):
"""
Create a new instance of the requested algorithm object,
set the algorithm properties replacing the input and output
workspaces.
The execution will work for any combination of mandatory/optional
properties.
@param reducer: Reducer object managing the reduction
@param inputworkspace: input workspace name [optional]
@param outputworkspace: output workspace name [optional]
"""
if outputworkspace is None:
outputworkspace = inputworkspace
alg = mantid.AlgorithmManager.create(algorithm)
if not isinstance(alg, mantid.api.AlgorithmProxy):
raise RuntimeError, "Reducer expects an Algorithm object from FrameworkManager, found '%s'" % str(
type(alg))
propertyOrder = alg.orderedProperties()
# add the args to the kw list so everything can be set in a single way
for (key, arg) in zip(propertyOrder[:len(args)], args):
kwargs[key] = arg
# Override input and output workspaces
if "Workspace" in kwargs:
kwargs["Workspace"] = inputworkspace
if "InputWorkspace" in kwargs:
kwargs["InputWorkspace"] = inputworkspace
if "OutputWorkspace" in kwargs:
kwargs["OutputWorkspace"] = outputworkspace
self.algorithm = alg
simpleapi._set_properties(alg, *(), **kwargs)
alg.execute()
if "OutputMessage" in propertyOrder:
return alg.getPropertyValue("OutputMessage")
return "%s applied" % alg.name()
def execute(self, reducer, inputworkspace=None, outputworkspace=None):
"""
Create a new instance of the requested algorithm object,
set the algorithm properties replacing the input and output
workspaces.
The execution will work for any combination of mandatory/optional
properties.
@param reducer: Reducer object managing the reduction
@param inputworkspace: input workspace name [optional]
@param outputworkspace: output workspace name [optional]
"""
if outputworkspace is None:
outputworkspace = inputworkspace
alg = mantid.AlgorithmManager.create(algorithm)
if not isinstance(alg, mantid.api.AlgorithmProxy):
raise RuntimeError, "Reducer expects an Algorithm object from FrameworkManager, found '%s'" % str(type(alg))
propertyOrder = alg.orderedProperties()
# add the args to the kw list so everything can be set in a single way
for (key, arg) in zip(propertyOrder[:len(args)], args):
kwargs[key] = arg
# Override input and output workspaces
if "Workspace" in kwargs:
kwargs["Workspace"] = inputworkspace
if "InputWorkspace" in kwargs:
kwargs["InputWorkspace"] = inputworkspace
if "OutputWorkspace" in kwargs:
kwargs["OutputWorkspace"] = outputworkspace
self.algorithm = alg
simpleapi._set_properties(alg,*(),**kwargs)
alg.execute()
if "OutputMessage" in propertyOrder:
return alg.getPropertyValue("OutputMessage")
return "%s applied" % alg.name()