def get_input_workspace_as_copy_if_not_same_as_output_workspace(alg):
"""
This function checks if the input workspace is the same as the output workspace, if so then it returns the
workspace else it creates a copy of the input in order for it to be consumed.
:param alg: a handle to the algorithm which has a InputWorkspace property and a OutputWorkspace property
:return: a workspace
"""
def _clone_input(_ws):
clone_name = "CloneWorkspace"
clone_options = {"InputWorkspace": _ws, "OutputWorkspace": EMPTY_NAME}
clone_alg = create_unmanaged_algorithm(clone_name, **clone_options)
clone_alg.execute()
return clone_alg.getProperty("OutputWorkspace").value
if "InputWorkspace" not in alg or "OutputWorkspace" not in alg:
raise RuntimeError(
"The algorithm {} does not seem to have an InputWorkspace and"
" an OutputWorkspace property.".format(alg.name()))
ws_in = alg.getProperty("InputWorkspace").value
if ws_in is None:
raise RuntimeError(
"The input for the algorithm {} seems to be None. We need an input."
.format(alg.name()))
ws_out = alg.getProperty("OutputWorkspace").value
# There are three scenarios.
# 1. ws_out is None
# 2. ws_in and ws_out are the same workspace
# 3. ws_in and ws_out are not the same workspace
if ws_out is None:
return _clone_input(ws_in)
elif isSameWorkspaceObject(ws_in, ws_out):
return ws_in
else:
return _clone_input(ws_in)
def get_input_workspace_as_copy_if_not_same_as_output_workspace(alg):
"""
This function checks if the input workspace is the same as the output workspace, if so then it returns the
workspace else it creates a copy of the input in order for it to be consumed.
:param alg: a handle to the algorithm which has a InputWorkspace property and a OutputWorkspace property
:return: a workspace
"""
def _clone_input(_ws):
clone_name = "CloneWorkspace"
clone_options = {"InputWorkspace": _ws,
"OutputWorkspace": EMPTY_NAME}
clone_alg = create_unmanaged_algorithm(clone_name, **clone_options)
clone_alg.execute()
return clone_alg.getProperty("OutputWorkspace").value
if "InputWorkspace" not in alg or "OutputWorkspace" not in alg:
raise RuntimeError("The algorithm {} does not seem to have an InputWorkspace and"
" an OutputWorkspace property.".format(alg.name()))
ws_in = alg.getProperty("InputWorkspace").value
if ws_in is None:
raise RuntimeError("The input for the algorithm {} seems to be None. We need an input.".format(alg.name()))
ws_out = alg.getProperty("OutputWorkspace").value
# There are three scenarios.
# 1. ws_out is None
# 2. ws_in and ws_out are the same workspace
# 3. ws_in and ws_out are not the same workspace
if ws_out is None:
return _clone_input(ws_in)
elif isSameWorkspaceObject(ws_in, ws_out):
return ws_in
else:
return _clone_input(ws_in)
