def get_final_output_workspaces(output_bundles, parent_alg):
"""
This function provides the final steps for the data reduction.
The final steps are:
1. Can Subtraction (if required)
2. Data clean up (if required)
:param output_bundles: A set of outputBundles
:param parent_alg: a handle to the parent algorithm.
:return: a map of ReductionMode vs final output workspaces.
"""
reduction_mode_vs_output_bundles = get_reduction_mode_vs_output_bundles(
output_bundles)
# For each reduction mode, we need to perform a can subtraction (and potential cleaning of the workspace)
final_output_workspaces = {}
for reduction_mode, output_bundles in reduction_mode_vs_output_bundles.items(
):
# Find the sample and the can in the data collection
output_sample_workspace = next(
(output_bundle.output_workspace
for output_bundle in output_bundles if is_sample(output_bundle)),
None)
output_can_workspace = next(
(output_bundle.output_workspace
for output_bundle in output_bundles if is_can(output_bundle)),
None)
# Perform the can subtraction
if output_can_workspace is not None:
final_output_workspace = perform_can_subtraction(
output_sample_workspace, output_can_workspace, parent_alg)
else:
final_output_workspace = output_sample_workspace
# Tidy up the workspace by removing start/end-NANs and start/end-INFs
final_output_workspace = strip_end_nans(final_output_workspace,
parent_alg)
final_output_workspaces.update(
{reduction_mode: final_output_workspace})
# Finally add sample log information
# TODO: Add log information
return final_output_workspaces
def get_final_output_workspaces(output_bundles, parent_alg):
"""
This function provides the final steps for the data reduction.
The final steps are:
1. Can Subtraction (if required)
2. Data clean up (if required)
:param output_bundles: A set of outputBundles
:param parent_alg: a handle to the parent algorithm.
:return: a map of ReductionMode vs final output workspaces.
"""
reduction_mode_vs_output_bundles = get_reduction_mode_vs_output_bundles(output_bundles)
# For each reduction mode, we need to perform a can subtraction (and potential cleaning of the workspace)
final_output_workspaces = {}
for reduction_mode, output_bundles in reduction_mode_vs_output_bundles.items():
# Find the sample and the can in the data collection
output_sample_workspace = next((output_bundle.output_workspace for output_bundle in output_bundles
if is_sample(output_bundle)), None)
output_can_workspace = next((output_bundle.output_workspace for output_bundle in output_bundles
if is_can(output_bundle)), None)
# Perform the can subtraction
if output_can_workspace is not None:
final_output_workspace = perform_can_subtraction(output_sample_workspace, output_can_workspace, parent_alg)
else:
final_output_workspace = output_sample_workspace
# Tidy up the workspace by removing start/end-NANs and start/end-INFs
final_output_workspace = strip_end_nans(final_output_workspace, parent_alg)
final_output_workspaces.update({reduction_mode: final_output_workspace})
# Finally add sample log information
# TODO: Add log information
return final_output_workspaces
