def add_phase_table_to_ADS(self, base_name):
run = get_run_numbers_as_string_from_workspace_name(
base_name, self.context.data_context.instrument)
directory = get_base_data_directory(self.context, run)
muon_workspace_wrapper = MuonWorkspaceWrapper(directory + base_name)
muon_workspace_wrapper.show()
self.context.phase_context.add_phase_table(muon_workspace_wrapper)
def _get_selected_runs_from_workspace(self) -> list:
"""Extract runs from the output workspace of the data context."""
instrument = self.context.data_context.instrument
workspace_list = self.context.data_context.current_data[
"OutputWorkspace"]
return [
get_run_numbers_as_string_from_workspace_name(
workspace.workspace_name, instrument)
for workspace in workspace_list
]
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 _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])
def _get_runs_groups_and_pairs_for_simultaneous_fit_by_groups_and_pairs(
self, display_type: str):
"""Returns the runs and group/pairs for the selected data in simultaneous fit by group/pairs mode."""
runs = [
get_run_numbers_as_string_from_workspace_name(
name, self.context.data_context.instrument)
for name in self.fitting_context.dataset_names
]
groups_and_pairs = self._get_selected_groups_and_pairs()
workspace_names = [
"/".join(
self.get_fit_workspace_names_from_groups_and_runs(
runs, [group_and_pair]))
for group_and_pair in groups_and_pairs
]
return self._get_datasets_containing_string(
display_type, workspace_names,
[";".join(runs)] * len(groups_and_pairs), groups_and_pairs)
def _create_workspace_label(self, workspace_name, index):
run = str(
get_run_numbers_as_string_from_workspace_name(
workspace_name, self.context.data_context.instrument))
# maxent
if MAXENT_STR in workspace_name:
freq_label = self._get_freq_label(workspace_name)
if RECONSTRUCTED_SPECTRA in workspace_name and self._is_groups:
group = self.reconstructed_data[index]
return f"{run} {group} {freq_label}" + RECONSTRUCTED_SPECTRA
elif RECONSTRUCTED_SPECTRA in workspace_name:
return self._raw_model._create_workspace_label(
workspace_name, index) + RECONSTRUCTED_SPECTRA
else:
return f"{run} Frequency {freq_label}"
#actual data
if self._is_groups and self.reconstructed_data:
group = self.reconstructed_data[index]
return f"{run} {group}"
elif "raw" in workspace_name:
return self._raw_model._create_workspace_label(
workspace_name, index)
return ""
def set_run_from_name(self, name):
self._run = str(
get_run_numbers_as_string_from_workspace_name(
name, self.context.data_context.instrument))