def _add_corrections_to_ads(corrections_group, prefix):
corrections_names = []
for correction_workspace in corrections_group:
name = prefix + correction_workspace.getName().rsplit('_', 1)[1]
mtd.addOrReplace(name, correction_workspace)
corrections_names.append(name)
return corrections_names
def _cloneTestWorkspace(self, wsName=None):
if not wsName:
# Cannot use as default parameter as 'self' is not know in argument list.
wsName = self._TEST_WS_NAME
tempName = 'temp_testWS_'
mtd.addOrReplace(tempName, self._testIN5WS)
ws = CloneWorkspace(InputWorkspace=tempName,
OutputWorkspace=wsName)
mtd.remove(tempName)
return ws
def _final_fit(self, corrected_data, masses, profiles):
fit_result = self._fit_helper(InputWorkspace=corrected_data,
WorkspaceIndex=0,
Masses=masses,
MassProfiles=profiles,
OutputWorkspace="__fit_output",
FitParameters=self._fit_namer.fit_parameters_name,
StoreInADS=False)
DeleteWorkspace(corrected_data)
mtd.addOrReplace(self._fit_namer.fit_output_name, fit_result[0])
return fit_result
def group_spectra(workspace_name, masked_detectors, method, group_file=None, group_ws=None):
"""
Groups spectra in a given workspace according to the Workflow.GroupingMethod and
Workflow.GroupingFile parameters and GroupingPolicy property.
@param workspace_name Name of workspace to group spectra of
@param masked_detectors List of spectra numbers to mask
@param method Grouping method (IPF, All, Individual, File, Workspace)
@param group_file File for File method
@param group_ws Workspace for Workspace method
"""
grouped_ws = group_spectra_of(mtd[workspace_name], masked_detectors, method, group_file, group_ws)
if grouped_ws is not None:
mtd.addOrReplace(workspace_name, grouped_ws)
def _add_and_group_caad(fit_namer, vesuvio_input, suffices, normalised_workspaces, summed_workspaces, indices):
normalised_names = [fit_namer.normalised_group_name + "_" + suffices[index] for index in indices]
summed_names = [fit_namer.caad_group_name + "_" + suffices[index] for index in indices]
name_count = dict()
for name, workspace in zip(normalised_names + summed_names, normalised_workspaces + summed_workspaces):
if name not in name_count:
mtd.addOrReplace(name, workspace)
name_count[name] = 1
else:
name_count[name] += 1
mtd.addOrReplace(name + str(name_count[name]), workspace)
map(_create_spectra_axis_copier(vesuvio_input.sample_data), normalised_workspaces)
GroupWorkspaces(InputWorkspaces=normalised_workspaces, OutputWorkspace=fit_namer.normalised_group_name)
GroupWorkspaces(InputWorkspaces=summed_workspaces, OutputWorkspace=fit_namer.caad_group_name)
def __init__(self, sample_runs, container_runs, spectra, loader):
# Load sample and container runs
self.spectra = _parse_spectra(loader.fit_mode, spectra, sample_runs)
self.sample_runs, self.sample_data = self._try_load_data(sample_runs, self.spectra,
loader, "Unable to load Sample Runs:")
mtd.addOrReplace(self._tof_workspace_suffix(self.sample_runs, self.spectra),
self.sample_data)
if container_runs is not None:
self.container_runs, self.container_data = self._try_load_data(container_runs, self.spectra,
loader, "Unable to load Container Runs:")
mtd.addOrReplace(self._tof_workspace_suffix(self.container_runs, self.spectra),
self.container_data)
else:
self.container_runs, self.container_data = None, None
self._back_scattering = is_back_scattering_spectra(self.spectra)
def group_spectra(workspace_name,
masked_detectors,
method,
group_file=None,
group_ws=None):
"""
Groups spectra in a given workspace according to the Workflow.GroupingMethod and
Workflow.GroupingFile parameters and GroupingPolicy property.
@param workspace_name Name of workspace to group spectra of
@param masked_detectors List of spectra numbers to mask
@param method Grouping method (IPF, All, Individual, File, Workspace)
@param group_file File for File method
@param group_ws Workspace for Workspace method
"""
grouped_ws = group_spectra_of(mtd[workspace_name], masked_detectors,
method, group_file, group_ws)
if grouped_ws is not None:
mtd.addOrReplace(workspace_name, grouped_ws)
def _add_parameters_to_ads(vesuvio_output, fit_namer):
mtd.addOrReplace(fit_namer.prefit_parameters_correction_name,
vesuvio_output.prefit_parameters_workspace)
mtd.addOrReplace(fit_namer.fit_correction_name,
vesuvio_output.correction_parameters_workspace)
mtd.addOrReplace(fit_namer.fit_parameters_correction_name,
vesuvio_output.fit_parameters_workspace)
def _add_parameters_to_ads(vesuvio_output, fit_namer):
mtd.addOrReplace(fit_namer.prefit_parameters_correction_name, vesuvio_output.prefit_parameters_workspace)
mtd.addOrReplace(fit_namer.fit_correction_name, vesuvio_output.correction_parameters_workspace)
mtd.addOrReplace(fit_namer.fit_parameters_correction_name, vesuvio_output.fit_parameters_workspace)
