def add_fft_workspace_to_ADS(self, input_workspace, imaginary_input_workspace, fft_workspace_label): run = re.search('[0-9]+', input_workspace).group() fft_workspace = mantid.AnalysisDataService.retrieve(fft_workspace_label) Im_run = "" if imaginary_input_workspace != "": Im_run = re.search('[0-9]+', imaginary_input_workspace).group() fft_workspace_name = get_fft_workspace_name(input_workspace, imaginary_input_workspace) directory = get_fft_workspace_group_name(fft_workspace_name, self.load.data_context.instrument, self.load.workspace_suffix) Re = get_group_or_pair_from_name(input_workspace) Im = get_group_or_pair_from_name(imaginary_input_workspace) shift = 3 if fft_workspace.getNumberHistograms() == 6 else 0 spectra = {"_" + FREQUENCY_EXTENSIONS["RE"]: 0 + shift, "_" + FREQUENCY_EXTENSIONS["IM"]: 1 + shift, "_" + FREQUENCY_EXTENSIONS["MOD"]: 2 + shift} for spec_type in list(spectra.keys()): extracted_ws = extract_single_spec(fft_workspace, spectra[spec_type], fft_workspace_name + spec_type) self.load._frequency_context.add_FFT(fft_workspace_name + spec_type, run, Re, Im_run, Im) muon_workspace_wrapper = MuonWorkspaceWrapper(extracted_ws) muon_workspace_wrapper.show(directory + fft_workspace_name + spec_type) # This is a small hack to get the output name to a location where it can be part of the calculation finished # signal. self._output_workspace_name = fft_workspace_name + '_mod'
def _create_workspace_label(self, workspace_name, index): group = str(get_group_or_pair_from_name(workspace_name)) run = str(get_run_numbers_as_string_from_workspace_name(workspace_name, self.context.data_context.instrument)) instrument = self.context.data_context.instrument rebin_label = self._get_rebin_label(workspace_name) if not self.context.plot_panes_context[self.name].settings._is_tiled: return f"{instrument}{run};{group}{rebin_label}" if self.context.plot_panes_context[self.name].settings.is_tiled_by == "Group/Pair": return f"{run}{rebin_label}" else: return f"{group}{rebin_label}"
def _get_runs_groups_and_pairs_for_simultaneous_fit_by_runs( self, display_type: str): """Returns the runs and group/pairs for the selected data in simultaneous fit by runs mode.""" runs = self._get_selected_runs() groups_and_pairs = [ get_group_or_pair_from_name(name) for name in self.fitting_context.dataset_names ] workspace_names = [ "/".join( self.get_fit_workspace_names_from_groups_and_runs( [run], groups_and_pairs)) for run in runs ] return self._get_datasets_containing_string( display_type, workspace_names, runs, [";".join(groups_and_pairs)] * len(runs))
def _create_workspace_label(self, workspace_name, index): group = str(get_group_or_pair_from_name(workspace_name)) run = str( get_run_numbers_as_string_from_workspace_name( workspace_name, self.context.data_context.instrument)) instrument = self.context.data_context.instrument fit_label = self._get_fit_label(workspace_name, index) rebin_label = self._get_rebin_label(workspace_name) if not self.context.plot_panes_context[self.name].settings._is_tiled: return "".join( [instrument, run, ';', group, fit_label, rebin_label]) if self.context.plot_panes_context[ self.name].settings.is_tiled_by == "Group/Pair": return "".join([run, fit_label, rebin_label]) else: return "".join([group, fit_label, rebin_label])