def __init__(self,
muon_data_context=None,
muon_gui_context=None,
muon_group_context=None,
base_directory='Muon Data',
muon_phase_context=None,
workspace_suffix=' MA',
fitting_context=None,
frequency_context=None):
self._data_context = muon_data_context
self._gui_context = muon_gui_context
self._group_pair_context = muon_group_context
self._phase_context = muon_phase_context
self.fitting_context = fitting_context
self.base_directory = base_directory
self.workspace_suffix = workspace_suffix
self._frequency_context = frequency_context
self.ads_observer = MuonContextADSObserver(
self.remove_workspace_by_name, self.clear_context)
self.gui_context.update({
'DeadTimeSource': 'None',
'LastGoodDataFromFile': True,
'selected_group_pair': ''
})
self.update_view_from_model_notifier = Observable()
def __init__(self,
data_context,
ea_group_context=None,
muon_gui_context=None,
plot_panes_context=None,
error_notifier=None,
workspace_suffix=' EA'):
self._window_title = "Elemental Analysis 2"
self.data_context = data_context
self._gui_context = muon_gui_context
self._group_context = ea_group_context
self._plot_panes_context = plot_panes_context
self.workspace_suffix = workspace_suffix
self.ads_observer = MuonContextADSObserver(
delete_callback=self.remove_workspace,
clear_callback=self.clear_context,
replace_callback=self.workspace_replaced,
delete_group_callback=self.remove_workspace)
self.update_view_from_model_notifier = GenericObservable()
self.update_plots_notifier = GenericObservable()
self.deleted_plots_notifier = GenericObservable()
self.calculation_started_notifier = GenericObservable()
self.calculation_finished_notifier = GenericObservable()
self.error_notifier = error_notifier
def __init__(self,
muon_data_context=None,
muon_gui_context=None,
muon_group_context=None,
corrections_context=None,
base_directory='Muon Data',
muon_phase_context=None,
workspace_suffix=' MA',
fitting_context=None,
results_context=None,
model_fitting_context=None,
plot_panes_context=None,
frequency_context=None):
self._data_context = muon_data_context
self._gui_context = muon_gui_context
self._group_pair_context = muon_group_context
self._corrections_context = corrections_context
self._phase_context = muon_phase_context
self.fitting_context = fitting_context
self.results_context = results_context
self.model_fitting_context = model_fitting_context
self.base_directory = base_directory
self.workspace_suffix = workspace_suffix
self._plot_panes_context = plot_panes_context
self.ads_observer = MuonContextADSObserver(self.remove_workspace,
self.clear_context,
self.workspace_replaced)
self.gui_context.update({
'LastGoodDataFromFile': True,
'selected_group_pair': ''
})
self.update_view_from_model_notifier = Observable()
self.update_plots_notifier = Observable()
self.deleted_plots_notifier = Observable()
class MuonContext(object):
def __init__(self,
muon_data_context=None,
muon_gui_context=None,
muon_group_context=None,
base_directory='Muon Data',
muon_phase_context=None,
workspace_suffix=' MA',
fitting_context=None,
frequency_context=None):
self._data_context = muon_data_context
self._gui_context = muon_gui_context
self._group_pair_context = muon_group_context
self._phase_context = muon_phase_context
self.fitting_context = fitting_context
self.base_directory = base_directory
self.workspace_suffix = workspace_suffix
self._frequency_context = frequency_context
self.ads_observer = MuonContextADSObserver(
self.remove_workspace_by_name, self.clear_context)
self.gui_context.update({
'DeadTimeSource': 'None',
'LastGoodDataFromFile': True,
'selected_group_pair': ''
})
self.update_view_from_model_notifier = Observable()
def __del__(self):
self.ads_observer.unsubscribe()
self.ads_observer = None
@property
def window_title(self):
if self._frequency_context:
return self._frequency_context.window_title
return "Muon Analysis"
@property
def data_context(self):
return self._data_context
@property
def gui_context(self):
return self._gui_context
@property
def group_pair_context(self):
return self._group_pair_context
@property
def phase_context(self):
return self._phase_context
def calculate_group(self, group_name, run, rebin=False):
run_as_string = run_list_to_string(run)
name = get_group_data_workspace_name(self,
group_name,
run_as_string,
rebin=rebin)
asym_name = get_group_asymmetry_name(self,
group_name,
run_as_string,
rebin=rebin)
asym_name_unnorm = get_group_asymmetry_unnorm_name(self,
group_name,
run_as_string,
rebin=rebin)
group_workspace = calculate_group_data(self, group_name, run, rebin,
name)
group_asymmetry, group_asymmetry_unnormalised = estimate_group_asymmetry_data(
self, group_name, run, rebin, asym_name, asym_name_unnorm)
return group_workspace, group_asymmetry, group_asymmetry_unnormalised
def calculate_pair(self, pair_name, run, rebin=False):
run_as_string = run_list_to_string(run)
name = get_pair_data_workspace_name(self,
pair_name,
run_as_string,
rebin=rebin)
return calculate_pair_data(self, pair_name, run, rebin, name)
def show_all_groups(self):
self.calculate_all_groups()
for run in self._data_context.current_runs:
for group_name in self._group_pair_context.group_names:
run_as_string = run_list_to_string(run)
directory = get_base_data_directory(self, run_as_string)
name = get_group_data_workspace_name(self,
group_name,
run_as_string,
rebin=False)
asym_name = get_group_asymmetry_name(self,
group_name,
run_as_string,
rebin=False)
asym_name_unnorm = get_group_asymmetry_unnorm_name(
self, group_name, run_as_string, rebin=False)
self.group_pair_context[group_name].show_raw(
run, directory + name, directory + asym_name,
asym_name_unnorm)
if self._do_rebin():
name = get_group_data_workspace_name(self,
group_name,
run_as_string,
rebin=True)
asym_name = get_group_asymmetry_name(self,
group_name,
run_as_string,
rebin=True)
asym_name_unnorm = get_group_asymmetry_unnorm_name(
self, group_name, run_as_string, rebin=True)
self.group_pair_context[group_name].show_rebin(
run, directory + name, directory + asym_name,
asym_name_unnorm)
def show_all_pairs(self):
self.calculate_all_pairs()
for run in self._data_context.current_runs:
for pair_name in self._group_pair_context.pair_names:
run_as_string = run_list_to_string(run)
name = get_pair_data_workspace_name(self,
pair_name,
run_as_string,
rebin=False)
directory = get_base_data_directory(self, run_as_string)
self.group_pair_context[pair_name].show_raw(
run, directory + name)
if self._do_rebin():
name = get_pair_data_workspace_name(self,
pair_name,
run_as_string,
rebin=True)
self.group_pair_context[pair_name].show_rebin(
run, directory + name)
def calculate_all_pairs(self):
for run in self._data_context.current_runs:
for pair_name in self._group_pair_context.pair_names:
pair_asymmetry_workspace = self.calculate_pair(pair_name, run)
self.group_pair_context[pair_name].update_asymmetry_workspace(
pair_asymmetry_workspace, run)
if self._do_rebin():
pair_asymmetry_workspace = self.calculate_pair(pair_name,
run,
rebin=True)
self.group_pair_context[
pair_name].update_asymmetry_workspace(
pair_asymmetry_workspace, run, rebin=True)
def calculate_all_groups(self):
for run in self._data_context.current_runs:
for group_name in self._group_pair_context.group_names:
group_workspace, group_asymmetry, group_asymmetry_unormalised = self.calculate_group(
group_name, run)
self.group_pair_context[group_name].update_workspaces(
run,
group_workspace,
group_asymmetry,
group_asymmetry_unormalised,
rebin=False)
if self._do_rebin():
group_workspace, group_asymmetry, group_asymmetry_unormalised = self.calculate_group(
group_name, run, rebin=True)
self.group_pair_context[group_name].update_workspaces(
run,
group_workspace,
group_asymmetry,
group_asymmetry_unormalised,
rebin=True)
def update_current_data(self):
# Update the current data; resetting the groups and pairs to their
# default values
if len(self.data_context.current_runs) > 0:
self.data_context.update_current_data()
if not self.group_pair_context.groups:
self.group_pair_context.reset_group_and_pairs_to_default(
self.data_context.current_workspace,
self.data_context.instrument,
self.data_context.main_field_direction)
else:
self.data_context.clear()
def show_raw_data(self):
self.ads_observer.observeRename(False)
for run in self.data_context.current_runs:
run_string = run_list_to_string(run)
loaded_workspace = \
self.data_context._loaded_data.get_data(run=run, instrument=self.data_context.instrument)['workspace'][
'OutputWorkspace']
loaded_workspace_deadtime_table = self.data_context._loaded_data.get_data(
run=run, instrument=self.data_context.instrument
)['workspace']['DataDeadTimeTable']
directory = get_base_data_directory(self, run_string)
deadtime_name = get_deadtime_data_workspace_name(
self.data_context.instrument,
str(run[0]),
workspace_suffix=self.workspace_suffix)
MuonWorkspaceWrapper(loaded_workspace_deadtime_table).show(
directory + deadtime_name)
self.data_context._loaded_data.get_data(
run=run, instrument=self.data_context.instrument
)['workspace']['DataDeadTimeTable'] = deadtime_name
if len(loaded_workspace) > 1:
# Multi-period data
for i, single_ws in enumerate(loaded_workspace):
name = directory + get_raw_data_workspace_name(
self.data_context.instrument,
run_string,
self.data_context.is_multi_period(),
period=str(i + 1),
workspace_suffix=self.workspace_suffix)
single_ws.show(name)
else:
# Single period data
name = directory + get_raw_data_workspace_name(
self.data_context.instrument,
run_string,
self.data_context.is_multi_period(),
workspace_suffix=self.workspace_suffix)
loaded_workspace[0].show(name)
self.ads_observer.observeRename(True)
def _do_rebin(self):
return (self.gui_context['RebinType'] == 'Fixed' and
'RebinFixed' in self.gui_context and self.gui_context['RebinFixed']) or \
(self.gui_context['RebinType'] == 'Variable' and
'RebinVariable' in self.gui_context and self.gui_context['RebinVariable'])
def get_workspace_names_for_FFT_analysis(self, use_raw=True):
workspace_options = self.get_names_of_workspaces_to_fit(
runs='All',
group_and_pair='All',
phasequad=True,
rebin=not use_raw)
return workspace_options
def get_detectors_excluded_from_default_grouping_tables(self):
groups, _, _ = get_default_grouping(
self.data_context.current_workspace, self.data_context.instrument,
self.data_context.main_field_direction)
detectors_in_group = []
for group in groups:
detectors_in_group += group.detectors
detectors_in_group = set(detectors_in_group)
return [
det for det in range(1, self.data_context.num_detectors)
if det not in detectors_in_group
]
# Get the groups/pairs for active WS
def getGroupedWorkspaceNames(self):
run_numbers = self.data_context.current_runs
runs = [
wsName.get_raw_data_workspace_name(
self.data_context.instrument,
run_list_to_string(run_number),
self.data_context.is_multi_period(),
period=str(period + 1),
workspace_suffix=self.workspace_suffix)
for run_number in run_numbers
for period in range(self.data_context.num_periods(run_number))
]
return runs
def first_good_data(self, run):
if not self.data_context.get_loaded_data_for_run(run):
return 0.0
if self.gui_context['FirstGoodDataFromFile']:
return self.data_context.get_loaded_data_for_run(
run)["FirstGoodData"]
else:
if 'FirstGoodData' in self.gui_context:
return self.gui_context['FirstGoodData']
else:
self.gui_context[
'FirstGoodData'] = self.data_context.get_loaded_data_for_run(
run)["FirstGoodData"]
return self.gui_context['FirstGoodData']
def last_good_data(self, run):
if not self.data_context.get_loaded_data_for_run(run):
return 0.0
if self.gui_context['LastGoodDataFromFile']:
return round(
max(
self.data_context.get_loaded_data_for_run(run)
["OutputWorkspace"][0].workspace.dataX(0)), 2)
else:
if 'LastGoodData' in self.gui_context:
return self.gui_context['LastGoodData']
else:
self.gui_context['LastGoodData'] = round(
max(
self.data_context.get_loaded_data_for_run(run)
["OutputWorkspace"][0].workspace.dataX(0)), 2)
return self.gui_context['LastGoodData']
def dead_time_table(self, run):
if self.gui_context['DeadTimeSource'] == 'FromADS':
return self.gui_context['DeadTimeTable']
elif self.gui_context['DeadTimeSource'] == 'FromFile':
return self.data_context.get_loaded_data_for_run(
run)["DataDeadTimeTable"]
elif self.gui_context['DeadTimeSource'] == 'None':
return None
def get_names_of_workspaces_to_fit(self,
runs='',
group_and_pair='',
phasequad=False,
rebin=False,
freq="None"):
if freq == "None":
return self.get_names_of_time_domain_workspaces_to_fit(
runs=runs,
group_and_pair=group_and_pair,
phasequad=phasequad,
rebin=rebin)
else:
return self.get_names_of_frequency_domain_workspaces_to_fit(
runs=runs,
group_and_pair=group_and_pair,
phasequad=phasequad,
frequency_type=freq)
def get_group_and_pair(self, group_and_pair):
group = []
pair = []
if group_and_pair == 'All':
group = self.group_pair_context.group_names
pair = self.group_pair_context.pair_names
else:
group_pair_list = group_and_pair.replace(' ', '').split(',')
group = [
group for group in group_pair_list
if group in self.group_pair_context.group_names
]
pair = [
pair for pair in group_pair_list
if pair in self.group_pair_context.pair_names
]
return group, pair
def get_runs(self, runs):
run_list = []
if runs == 'All':
run_list = self.data_context.current_runs
else:
run_list = [
run_string_to_list(item)
for item in runs.replace(' ', '').split(',')
]
flat_list = []
for sublist in run_list:
flat_list += [[run] for run in sublist if len(sublist) > 1]
run_list += flat_list
run_list = [
run for run in run_list
if run in self.data_context.current_runs
]
return run_list
def get_names_of_time_domain_workspaces_to_fit(self,
runs='',
group_and_pair='',
phasequad=False,
rebin=False):
group, pair = self.get_group_and_pair(group_and_pair)
run_list = self.get_runs(runs)
group_names = self.group_pair_context.get_group_workspace_names(
run_list, group, rebin)
pair_names = self.group_pair_context.get_pair_workspace_names(
run_list, pair, rebin)
phasequad_names = []
if phasequad:
for run in run_list:
run_string = run_list_to_string(run)
phasequad_names += self.phase_context.get_phase_quad(
self.data_context.instrument, run_string)
return group_names + pair_names + phasequad_names
def get_names_of_frequency_domain_workspaces_to_fit(
self,
runs='',
group_and_pair='',
phasequad=False,
frequency_type="None"):
if self._frequency_context is None:
return []
group, pair = self.get_group_and_pair(group_and_pair)
run_list = self.get_runs(runs)
names = self._frequency_context.get_frequency_workspace_names(
run_list, group, pair, phasequad, frequency_type)
return names
def get_list_of_binned_or_unbinned_workspaces_from_equivalents(
self, input_list):
equivalent_list = []
for item in input_list:
if 'PhaseQuad' in item:
equivalent_list.append(item)
equivalent_group_pair = self.group_pair_context.get_equivalent_group_pair(
item)
if equivalent_group_pair:
equivalent_list.append(equivalent_group_pair)
return equivalent_list
def remove_workspace_by_name(self, workspace_name):
self.data_context.remove_workspace_by_name(workspace_name)
self.group_pair_context.remove_workspace_by_name(workspace_name)
self.phase_context.remove_workspace_by_name(workspace_name)
self.fitting_context.remove_workspace_by_name(workspace_name)
self.gui_context.remove_workspace_by_name(workspace_name)
self.update_view_from_model_notifier.notify_subscribers(workspace_name)
def clear_context(self):
self.data_context.clear()
self.group_pair_context.clear()
self.phase_context.clear()
self.fitting_context.clear()
self.update_view_from_model_notifier.notify_subscribers()
class MuonContext(object):
def __init__(self,
muon_data_context=None,
muon_gui_context=None,
muon_group_context=None,
base_directory='Muon Data',
muon_phase_context=None,
workspace_suffix=' MA',
fitting_context=None,
frequency_context=None):
self._data_context = muon_data_context
self._gui_context = muon_gui_context
self._group_pair_context = muon_group_context
self._phase_context = muon_phase_context
self.fitting_context = fitting_context
self.base_directory = base_directory
self.workspace_suffix = workspace_suffix
self.ads_observer = MuonContextADSObserver(self.remove_workspace,
self.clear_context,
self.workspace_replaced)
self.gui_context.update({
'DeadTimeSource': 'None',
'LastGoodDataFromFile': True,
'selected_group_pair': '',
'PlotMode': PlotMode.Data
})
self.update_view_from_model_notifier = Observable()
self.update_plots_notifier = Observable()
self.deleted_plots_notifier = Observable()
@property
def data_context(self):
return self._data_context
@property
def gui_context(self):
return self._gui_context
@property
def group_pair_context(self):
return self._group_pair_context
@property
def phase_context(self):
return self._phase_context
@property
def default_data_plot_range(self):
return MUON_ANALYSIS_DEFAULT_X_RANGE
def num_periods(self, run):
return self._data_context.num_periods(run)
@property
def current_runs(self):
return self._data_context.current_runs
def calculate_group(self, group, run, rebin=False):
run_as_string = run_list_to_string(run)
periods_as_string = run_list_to_string(group.periods)
# A user requirement is that processing can continue if a period is missing from some
# of the runs. This filters out periods which are not in a given run.
periods = [
period for period in group.periods
if period <= self.num_periods(run)
]
# If not periods match return nothing here. The caller then needs to handle this gracefully.
if not periods:
return None, None, None
name = get_group_data_workspace_name(self,
group.name,
run_as_string,
periods_as_string,
rebin=rebin)
asym_name = get_group_asymmetry_name(self,
group.name,
run_as_string,
periods_as_string,
rebin=rebin)
asym_name_unnorm = get_group_asymmetry_unnorm_name(self,
group.name,
run_as_string,
periods_as_string,
rebin=rebin)
group_workspace = calculate_group_data(self, group, run, rebin, name,
periods)
group_asymmetry, group_asymmetry_unnormalised = estimate_group_asymmetry_data(
self, group, run, rebin, asym_name, asym_name_unnorm, periods)
return group_workspace, group_asymmetry, group_asymmetry_unnormalised
def calculate_pair(self,
pair: MuonPair,
run: List[int],
rebin: bool = False):
try:
forward_group_workspace_name = self._group_pair_context[
pair.forward_group].get_counts_workspace_for_run(run, rebin)
backward_group_workspace_name = self._group_pair_context[
pair.backward_group].get_counts_workspace_for_run(run, rebin)
except KeyError:
# A key error here means the requested workspace does not exist so return None
return None
run_as_string = run_list_to_string(run)
output_workspace_name = get_pair_asymmetry_name(self,
pair.name,
run_as_string,
rebin=rebin)
return calculate_pair_data(pair, forward_group_workspace_name,
backward_group_workspace_name,
output_workspace_name)
def show_all_groups(self):
self.calculate_all_groups()
for run in self._data_context.current_runs:
with WorkspaceGroupDefinition():
for group in self._group_pair_context.groups:
run_as_string = run_list_to_string(run)
group_name = group.name
periods = run_list_to_string(group.periods)
directory = get_base_data_directory(self, run_as_string)
name = get_group_data_workspace_name(self,
group_name,
run_as_string,
periods,
rebin=False)
asym_name = get_group_asymmetry_name(self,
group_name,
run_as_string,
periods,
rebin=False)
asym_name_unnorm = get_group_asymmetry_unnorm_name(
self, group_name, run_as_string, periods, rebin=False)
self.group_pair_context[group_name].show_raw(
run, directory + name, directory + asym_name,
asym_name_unnorm)
if self._do_rebin():
name = get_group_data_workspace_name(self,
group_name,
run_as_string,
periods,
rebin=True)
asym_name = get_group_asymmetry_name(self,
group_name,
run_as_string,
periods,
rebin=True)
asym_name_unnorm = get_group_asymmetry_unnorm_name(
self,
group_name,
run_as_string,
periods,
rebin=True)
self.group_pair_context[group_name].show_rebin(
run, directory + name, directory + asym_name,
asym_name_unnorm)
def show_all_pairs(self):
self.calculate_all_pairs()
for run in self._data_context.current_runs:
with WorkspaceGroupDefinition():
for pair_name in self._group_pair_context.pair_names:
run_as_string = run_list_to_string(run)
name = get_pair_asymmetry_name(self,
pair_name,
run_as_string,
rebin=False)
directory = get_base_data_directory(self, run_as_string)
self.group_pair_context[pair_name].show_raw(
run, directory + name)
if self._do_rebin():
name = get_pair_asymmetry_name(self,
pair_name,
run_as_string,
rebin=True)
self.group_pair_context[pair_name].show_rebin(
run, directory + name)
def calculate_all_pairs(self):
self._calculate_pairs(rebin=False)
if (self._do_rebin()):
self._calculate_pairs(rebin=True)
def _calculate_pairs(self, rebin):
for run in self._data_context.current_runs:
for pair in self._group_pair_context.pairs:
pair_asymmetry_workspace = self.calculate_pair(pair,
run,
rebin=rebin)
if not pair_asymmetry_workspace:
continue
pair.update_asymmetry_workspace(pair_asymmetry_workspace,
run,
rebin=rebin)
def calculate_all_groups(self):
self._calculate_groups(rebin=False)
if self._do_rebin():
self._calculate_groups(rebin=True)
def _calculate_groups(self, rebin):
for run in self._data_context.current_runs:
run_pre_processing(context=self, run=run, rebin=rebin)
for group in self._group_pair_context.groups:
group_workspace, group_asymmetry, group_asymmetry_unormalised = \
self.calculate_group(group, run, rebin=rebin)
# If this run contains none of the relevant periods for the group no
# workspace is created.
if not group_workspace:
continue
self.group_pair_context[group.name].update_workspaces(
run,
group_workspace,
group_asymmetry,
group_asymmetry_unormalised,
rebin=rebin)
def update_current_data(self):
# Update the current data; resetting the groups and pairs to their
# default values
if len(self.data_context.current_runs) > 0:
self.data_context.update_current_data()
if not self.group_pair_context.groups:
maximum_number_of_periods = max(
[self.num_periods(run) for run in self.current_runs])
self.group_pair_context.reset_group_and_pairs_to_default(
self.data_context.current_workspace,
self.data_context.instrument,
self.data_context.main_field_direction,
maximum_number_of_periods)
else:
self.data_context.clear()
def show_raw_data(self):
self.ads_observer.observeRename(False)
for run in self.data_context.current_runs:
with WorkspaceGroupDefinition():
run_string = run_list_to_string(run)
loaded_workspace = \
self.data_context._loaded_data.get_data(run=run, instrument=self.data_context.instrument)['workspace'][
'OutputWorkspace']
loaded_workspace_deadtime_table = self.data_context._loaded_data.get_data(
run=run, instrument=self.data_context.instrument
)['workspace']['DataDeadTimeTable']
directory = get_base_data_directory(self, run_string)
deadtime_name = get_deadtime_data_workspace_name(
self.data_context.instrument,
str(run[0]),
workspace_suffix=self.workspace_suffix)
MuonWorkspaceWrapper(loaded_workspace_deadtime_table).show(
directory + deadtime_name)
self.data_context._loaded_data.get_data(
run=run, instrument=self.data_context.instrument
)['workspace']['DataDeadTimeTable'] = deadtime_name
if len(loaded_workspace) > 1:
# Multi-period data
for i, single_ws in enumerate(loaded_workspace):
name = directory + get_raw_data_workspace_name(
self.data_context.instrument,
run_string,
multi_period=True,
period=str(i + 1),
workspace_suffix=self.workspace_suffix)
single_ws.show(name)
else:
# Single period data
name = directory + get_raw_data_workspace_name(
self.data_context.instrument,
run_string,
multi_period=False,
workspace_suffix=self.workspace_suffix)
loaded_workspace[0].show(name)
self.ads_observer.observeRename(True)
def _do_rebin(self):
return (self.gui_context['RebinType'] == 'Fixed'
and 'RebinFixed' in self.gui_context and self.gui_context['RebinFixed']) or \
(self.gui_context['RebinType'] == 'Variable'
and 'RebinVariable' in self.gui_context and self.gui_context['RebinVariable'])
def get_detectors_excluded_from_default_grouping_tables(self):
groups, _, _ = get_default_grouping(
self.data_context.current_workspace, self.data_context.instrument,
self.data_context.main_field_direction)
detectors_in_group = []
for group in groups:
detectors_in_group += group.detectors
detectors_in_group = set(detectors_in_group)
return [
det for det in range(1, self.data_context.num_detectors)
if det not in detectors_in_group
]
# Get the groups/pairs for active WS
def getGroupedWorkspaceNames(self):
run_numbers = self.data_context.current_runs
runs = [
wsName.get_raw_data_workspace_name(
self.data_context.instrument,
run_list_to_string(run_number),
self.data_context.is_multi_period(),
period=str(period + 1),
workspace_suffix=self.workspace_suffix)
for run_number in run_numbers
for period in range(self.data_context.num_periods(run_number))
]
return runs
def first_good_data(self, run):
if not self.data_context.get_loaded_data_for_run(run):
return 0.0
if self.gui_context['FirstGoodDataFromFile']:
return self.data_context.get_loaded_data_for_run(
run)["FirstGoodData"]
else:
if 'FirstGoodData' in self.gui_context:
return self.gui_context['FirstGoodData']
else:
self.gui_context[
'FirstGoodData'] = self.data_context.get_loaded_data_for_run(
run)["FirstGoodData"]
return self.gui_context['FirstGoodData']
def last_good_data(self, run):
if not self.data_context.get_loaded_data_for_run(run):
return 0.0
if self.gui_context['LastGoodDataFromFile']:
return round(
max(
self.data_context.get_loaded_data_for_run(run)
["OutputWorkspace"][0].workspace.dataX(0)), 2)
else:
if 'LastGoodData' in self.gui_context:
return self.gui_context['LastGoodData']
else:
self.gui_context['LastGoodData'] = round(
max(
self.data_context.get_loaded_data_for_run(run)
["OutputWorkspace"][0].workspace.dataX(0)), 2)
return self.gui_context['LastGoodData']
def dead_time_table(self, run):
if self.gui_context['DeadTimeSource'] == 'FromADS':
return self.gui_context['DeadTimeTable']
elif self.gui_context['DeadTimeSource'] == 'FromFile':
return self.data_context.get_loaded_data_for_run(
run)["DataDeadTimeTable"]
elif self.gui_context['DeadTimeSource'] == 'None':
return None
def get_group_and_pair(self, group_and_pair):
if group_and_pair == 'All':
group = self.group_pair_context.group_names
pair = self.group_pair_context.pair_names
else:
group_pair_list = group_and_pair.replace(' ', '').split(',')
group = [
group for group in group_pair_list
if group in self.group_pair_context.group_names
]
pair = [
pair for pair in group_pair_list
if pair in self.group_pair_context.pair_names
]
return group, pair
def get_runs(self, runs):
if runs == 'All':
run_list = self.data_context.current_runs
else:
run_list = [
run_string_to_list(item)
for item in runs.replace(' ', '').split(',')
]
flat_list = []
for sublist in run_list:
flat_list += [[run] for run in sublist if len(sublist) > 1]
run_list += flat_list
run_list = [
run for run in run_list
if run in self.data_context.current_runs
]
return run_list
def get_list_of_binned_or_unbinned_workspaces_from_equivalents(
self, input_list):
equivalent_list = []
for item in input_list:
if 'PhaseQuad' in item:
equivalent_list.append(item)
equivalent_group_pair = self.group_pair_context.get_equivalent_group_pair(
item)
if equivalent_group_pair:
equivalent_list.append(equivalent_group_pair)
return equivalent_list
def remove_workspace(self, workspace):
# required as the renameHandler returns a name instead of a workspace.
if isinstance(workspace, str):
workspace_name = workspace
else:
workspace_name = workspace.name()
self.data_context.remove_workspace_by_name(workspace_name)
self.group_pair_context.remove_workspace_by_name(workspace_name)
self.phase_context.remove_workspace_by_name(workspace_name)
self.fitting_context.remove_workspace_by_name(workspace_name)
self.gui_context.remove_workspace_by_name(workspace_name)
self.update_view_from_model_notifier.notify_subscribers(workspace_name)
self.deleted_plots_notifier.notify_subscribers(workspace)
def clear_context(self):
self.data_context.clear()
self.group_pair_context.clear()
self.phase_context.clear()
self.fitting_context.clear()
self.update_view_from_model_notifier.notify_subscribers()
def workspace_replaced(self, workspace):
self.update_plots_notifier.notify_subscribers(workspace)
class MuonContext(object):
def __init__(self,
muon_data_context=None,
muon_gui_context=None,
muon_group_context=None,
corrections_context=None,
base_directory='Muon Data',
muon_phase_context=None,
workspace_suffix=' MA',
fitting_context=None,
results_context=None,
model_fitting_context=None,
plot_panes_context=None,
frequency_context=None):
self._data_context = muon_data_context
self._gui_context = muon_gui_context
self._group_pair_context = muon_group_context
self._corrections_context = corrections_context
self._phase_context = muon_phase_context
self.fitting_context = fitting_context
self.results_context = results_context
self.model_fitting_context = model_fitting_context
self.base_directory = base_directory
self.workspace_suffix = workspace_suffix
self._plot_panes_context = plot_panes_context
self.ads_observer = MuonContextADSObserver(self.remove_workspace,
self.clear_context,
self.workspace_replaced)
self.gui_context.update({
'LastGoodDataFromFile': True,
'selected_group_pair': ''
})
self.update_view_from_model_notifier = Observable()
self.update_plots_notifier = Observable()
self.deleted_plots_notifier = Observable()
@property
def plot_panes_context(self):
return self._plot_panes_context
@property
def data_context(self):
return self._data_context
@property
def gui_context(self):
return self._gui_context
@property
def group_pair_context(self):
return self._group_pair_context
@property
def corrections_context(self):
return self._corrections_context
@property
def phase_context(self):
return self._phase_context
def num_periods(self, run):
return self._data_context.num_periods(run)
@property
def current_runs(self):
return self._data_context.current_runs
def calculate_counts(self, run, group, rebin=False):
"""Calculates the counts workspace for the given run and group."""
return self._calculate_counts_or_asymmetry(self._calculate_counts, run,
group, rebin)
def _calculate_counts(self, run, group, periods, run_as_string,
periods_as_string, rebin):
"""Calculates the counts workspace for the given run and group."""
output_name = get_group_data_workspace_name(self,
group.name,
run_as_string,
periods_as_string,
rebin=rebin)
return calculate_group_data(self, group, run, output_name, periods)
def calculate_asymmetry(self, run, group, rebin=False):
"""Calculates the asymmetry workspaces for the given run and group."""
return self._calculate_counts_or_asymmetry(self._calculate_asymmetry,
run, group, rebin)
def _calculate_asymmetry(self, run, group, periods, run_as_string,
periods_as_string, rebin):
"""Calculates the asymmetry workspaces for the given run and group."""
output_name = get_group_asymmetry_name(self,
group.name,
run_as_string,
periods_as_string,
rebin=rebin)
output_name_unnormalised = get_group_asymmetry_unnorm_name(
self, group.name, run_as_string, periods_as_string, rebin=rebin)
group_asymmetry, group_asymmetry_unnormalised = estimate_group_asymmetry_data(
self, group, run, output_name, output_name_unnormalised, periods)
return group_asymmetry, group_asymmetry_unnormalised
def _calculate_counts_or_asymmetry(self,
calculation_func,
run,
group,
rebin=False):
"""Calculates the counts or asymmetry workspace depending on the 'calculation_func' that is provided."""
run_as_string = run_list_to_string(run)
periods_as_string = run_list_to_string(group.periods)
# A user requirement is that processing can continue if a period is missing from some
# of the runs. This filters out periods which are not in a given run.
periods = [
period for period in group.periods
if period <= self.num_periods(run)
]
if not periods:
return None
return calculation_func(run, group, periods, run_as_string,
periods_as_string, rebin)
def calculate_diff(self,
diff: MuonDiff,
run: List[int],
rebin: bool = False):
try:
positive_workspace_name = self._group_pair_context[
diff.positive].get_asymmetry_workspace_for_run(run, rebin)
negative_workspace_name = self._group_pair_context[
diff.negative].get_asymmetry_workspace_for_run(run, rebin)
except KeyError:
# A key error here means the requested workspace does not exist so return None
return None
run_as_string = run_list_to_string(run)
output_workspace_name = get_diff_asymmetry_name(self,
diff.name,
run_as_string,
rebin=rebin)
return run_minus(positive_workspace_name, negative_workspace_name,
output_workspace_name)
def calculate_pair(self,
pair: MuonPair,
run: List[int],
rebin: bool = False):
try:
forward_group_workspace_name = self._group_pair_context[
pair.forward_group].get_counts_workspace_for_run(run, rebin)
backward_group_workspace_name = self._group_pair_context[
pair.backward_group].get_counts_workspace_for_run(run, rebin)
except KeyError:
# A key error here means the requested workspace does not exist so return None
return None
run_as_string = run_list_to_string(run)
output_workspace_name = get_pair_asymmetry_name(self,
pair.name,
run_as_string,
rebin=rebin)
return calculate_pair_data(pair, forward_group_workspace_name,
backward_group_workspace_name,
output_workspace_name)
def show_group(self, run, group, rebin):
run_as_string = run_list_to_string(run)
group_name = group.name
periods = run_list_to_string(group.periods)
directory = get_base_data_directory(self, run_as_string)
name = get_group_data_workspace_name(self,
group_name,
run_as_string,
periods,
rebin=rebin)
asym_name = get_group_asymmetry_name(self,
group_name,
run_as_string,
periods,
rebin=rebin)
asym_name_unnorm = get_group_asymmetry_unnorm_name(self,
group_name,
run_as_string,
periods,
rebin=rebin)
if not rebin:
self.group_pair_context[group_name].show_raw(
run, directory + name, directory + asym_name, asym_name_unnorm)
else:
self.group_pair_context[group_name].show_rebin(
run, directory + name, directory + asym_name, asym_name_unnorm)
def show_pair(self, run: list, pair: MuonPair):
pair_name = pair.name
# Do not want to rename phasequad parts here
if "_Re_" in pair_name or "_Im_" in pair_name:
return
run_as_string = run_list_to_string(run)
name = get_pair_asymmetry_name(self,
pair_name,
run_as_string,
rebin=False)
directory = get_base_data_directory(self, run_as_string)
self.group_pair_context[pair_name].show_raw(run, directory + name)
if self._do_rebin():
name = get_pair_asymmetry_name(self,
pair_name,
run_as_string,
rebin=True)
self.group_pair_context[pair_name].show_rebin(
run, directory + name)
def show_diff(self, run: list, diff: MuonDiff):
diff_name = diff.name
run_as_string = run_list_to_string(run)
name = get_diff_asymmetry_name(self,
diff_name,
run_as_string,
rebin=False)
directory = get_base_data_directory(self, run_as_string)
self.group_pair_context[diff_name].show_raw(run, directory + name)
if self._do_rebin():
name = get_diff_asymmetry_name(self,
diff_name,
run_as_string,
rebin=True)
self.group_pair_context[diff_name].show_rebin(
run, directory + name)
def calculate_all_counts(self):
self._calculate_all_counts(rebin=False)
if self._do_rebin():
self._calculate_all_counts(rebin=True)
def _calculate_all_counts(self, rebin):
for run in self._data_context.current_runs:
run_pre_processing(context=self, run=run, rebin=rebin)
for group in self._group_pair_context.groups:
counts_workspace = self.calculate_counts(run, group, rebin)
if not counts_workspace:
continue
self.group_pair_context[group.name].update_counts_workspace(
MuonRun(run), counts_workspace, rebin)
def calculate_asymmetry_for(self, run, group, rebin):
asymmetry_workspaces = self.calculate_asymmetry(run, group, rebin)
if asymmetry_workspaces is not None:
self.group_pair_context[group.name].update_asymmetry_workspace(
MuonRun(run), *asymmetry_workspaces, rebin)
def calculate_pair_for(self, run: List[int], pair: MuonPair):
self._calculate_pair_for(run, pair, rebin=False)
if self._do_rebin():
self._calculate_pair_for(run, pair, rebin=True)
def _calculate_pair_for(self, run: List[int], pair: MuonPair, rebin: bool):
pair_asymmetry_workspace = self.calculate_pair(pair, run, rebin=rebin)
if pair_asymmetry_workspace is not None:
self.group_pair_context[pair.name].update_asymmetry_workspace(
pair_asymmetry_workspace, run, rebin=rebin)
def find_pairs_containing_groups(self, groups: list) -> list:
"""Returns a list of MuonPair's that are formed from one or more groups contained in the provided list."""
pairs = []
for pair in self._group_pair_context.pairs:
if isinstance(pair, MuonPair) and (pair.forward_group in groups or
pair.backward_group in groups):
pairs.append(pair)
return pairs
def calculate_diff_for(self, run: List[int], diff: MuonDiff):
self._calculate_diff_for(run, diff, rebin=False)
if self._do_rebin():
self._calculate_diff_for(run, diff, rebin=True)
def _calculate_diff_for(self, run: List[int], diff: MuonDiff, rebin: bool):
diff_asymmetry_workspace = self.calculate_diff(diff, run, rebin=rebin)
if diff_asymmetry_workspace is not None:
self.group_pair_context[diff.name].update_asymmetry_workspace(
diff_asymmetry_workspace, run, rebin=rebin)
def find_diffs_containing_groups_or_pairs(self,
groups_and_pairs: list) -> list:
"""Returns a list of MuonDiff's that are formed from one or more groups/pairs contained in the provided list."""
diffs = []
for diff in self._group_pair_context.diffs:
if diff.positive in groups_and_pairs or diff.negative in groups_and_pairs:
diffs.append(diff)
return diffs
def update_phasequads(self):
for phasequad in self.group_pair_context.phasequads:
self.calculate_phasequads(phasequad)
def calculate_phasequads(self, phasequad_obj):
self._calculate_phasequads(phasequad_obj, rebin=False)
if self._do_rebin():
self._calculate_phasequads(phasequad_obj, rebin=True)
def calculate_phasequad(self, phasequad, run, rebin):
parameters = {}
parameters['PhaseTable'] = phasequad.phase_table
run_string = run_list_to_string(run)
ws_name = get_pair_phasequad_name(self,
add_phasequad_extensions(
phasequad.name),
run_string,
rebin=rebin)
parameters['InputWorkspace'] = self._run_deadtime(run_string, ws_name)
runs = self._data_context.current_runs
if runs:
parameters['InputWorkspace'] = run_crop_workspace(
parameters['InputWorkspace'], self.first_good_data(runs[0]),
self.last_good_data(runs[0]))
phase_quad = run_PhaseQuad(parameters, ws_name)
phase_quad = self._run_rebin(phase_quad, rebin)
workspaces = split_phasequad(phase_quad)
return workspaces
def _calculate_phasequads(self, phasequad_obj, rebin):
for run in self._data_context.current_runs:
if self._data_context.num_periods(run) > 1:
raise ValueError("Cannot support multiple periods")
ws_list = self.calculate_phasequad(phasequad_obj, run, rebin)
run_string = run_list_to_string(run)
directory = get_base_data_directory(self, run_string)
for ws in ws_list:
muon_workspace_wrapper = MuonWorkspaceWrapper(directory + ws)
muon_workspace_wrapper.show()
phasequad_obj.update_asymmetry_workspaces(ws_list,
run,
rebin=rebin)
def _run_deadtime(self, run_string, output):
name = get_raw_data_workspace_name(
self.data_context.instrument,
run_string,
multi_period=False,
workspace_suffix=self.workspace_suffix)
if isinstance(run_string, str):
run = wsName.get_first_run_from_run_string(run_string)
dead_time_table = self._corrections_context.current_dead_time_table_name_for_run(
self.data_context.instrument, [float(run)])
if dead_time_table:
return apply_deadtime(name, output, dead_time_table)
return name
def _run_rebin(self, name, rebin):
if rebin:
params = "1"
if self.gui_context['RebinType'] == 'Variable' and self.gui_context[
"RebinVariable"]:
params = self.gui_context["RebinVariable"]
if self.gui_context['RebinType'] == 'Fixed' and self.gui_context[
"RebinFixed"]:
ws = retrieve_ws(name)
x_data = ws.dataX(0)
original_step = x_data[1] - x_data[0]
params = float(self.gui_context["RebinFixed"]) * original_step
return rebin_ws(name, params)
else:
return name
def update_current_data(self):
# Update the current data; resetting the groups and pairs to their
# default values
if len(self.data_context.current_runs) > 0:
self.data_context.update_current_data()
if not self.group_pair_context.groups:
maximum_number_of_periods = max(
[self.num_periods(run) for run in self.current_runs])
self.group_pair_context.reset_group_and_pairs_to_default(
self.data_context.current_workspace,
self.data_context.instrument,
self.data_context.main_field_direction,
maximum_number_of_periods)
else:
self.data_context.clear()
def show_raw_data(self):
self.ads_observer.observeRename(False)
for run in self.data_context.current_runs:
with WorkspaceGroupDefinition():
run_string = run_list_to_string(run)
loaded_workspace = self.data_context._loaded_data.get_data(
run=run, instrument=self.data_context.instrument
)['workspace']['OutputWorkspace']
loaded_workspace_deadtime_table = self.corrections_context.get_default_dead_time_table_name_for_run(
self.data_context.instrument, run)
directory = get_base_data_directory(self, run_string)
deadtime_name = get_deadtime_data_workspace_name(
self.data_context.instrument,
str(run[0]),
workspace_suffix=self.workspace_suffix)
MuonWorkspaceWrapper(loaded_workspace_deadtime_table).show(
directory + deadtime_name)
self.corrections_context.set_default_dead_time_table_name_for_run(
self.data_context.instrument, run, deadtime_name)
if len(loaded_workspace) > 1:
# Multi-period data
for i, single_ws in enumerate(loaded_workspace):
name = directory + get_raw_data_workspace_name(
self.data_context.instrument,
run_string,
multi_period=True,
period=str(i + 1),
workspace_suffix=self.workspace_suffix)
single_ws.show(name)
else:
# Single period data
name = directory + get_raw_data_workspace_name(
self.data_context.instrument,
run_string,
multi_period=False,
workspace_suffix=self.workspace_suffix)
loaded_workspace[0].show(name)
self.ads_observer.observeRename(True)
def _do_rebin(self):
return (self.gui_context['RebinType'] == 'Fixed'
and 'RebinFixed' in self.gui_context and self.gui_context['RebinFixed']) or \
(self.gui_context['RebinType'] == 'Variable'
and 'RebinVariable' in self.gui_context and self.gui_context['RebinVariable'])
def do_double_pulse_fit(self):
return "DoublePulseEnabled" in self.gui_context and self.gui_context[
"DoublePulseEnabled"]
def get_detectors_excluded_from_default_grouping_tables(self):
groups, _, _ = get_default_grouping(
self.data_context.current_workspace, self.data_context.instrument,
self.data_context.main_field_direction)
detectors_in_group = []
for group in groups:
detectors_in_group += group.detectors
detectors_in_group = set(detectors_in_group)
return [
det for det in range(1, self.data_context.num_detectors)
if det not in detectors_in_group
]
# Get the groups/pairs for active WS
def getGroupedWorkspaceNames(self):
run_numbers = self.data_context.current_runs
runs = [
wsName.get_raw_data_workspace_name(
self.data_context.instrument,
run_list_to_string(run_number),
self.data_context.is_multi_period(),
period=str(period + 1),
workspace_suffix=self.workspace_suffix)
for run_number in run_numbers
for period in range(self.data_context.num_periods(run_number))
]
return runs
def first_good_data(self, run):
if not self.data_context.get_loaded_data_for_run(run):
return 0.0
if self.gui_context['FirstGoodDataFromFile']:
return self.data_context.get_loaded_data_for_run(
run)["FirstGoodData"]
else:
if 'FirstGoodData' in self.gui_context:
return self.gui_context['FirstGoodData']
else:
self.gui_context[
'FirstGoodData'] = self.data_context.get_loaded_data_for_run(
run)["FirstGoodData"]
return self.gui_context['FirstGoodData']
def last_good_data(self, run):
if not self.data_context.get_loaded_data_for_run(run):
return 0.0
if self.gui_context['LastGoodDataFromFile']:
return round(
max(
self.data_context.get_loaded_data_for_run(run)
["OutputWorkspace"][0].workspace.dataX(0)), 2)
else:
if 'LastGoodData' in self.gui_context:
return self.gui_context['LastGoodData']
else:
self.gui_context['LastGoodData'] = round(
max(
self.data_context.get_loaded_data_for_run(run)
["OutputWorkspace"][0].workspace.dataX(0)), 2)
return self.gui_context['LastGoodData']
def get_group_and_pair(self, group_and_pair):
if group_and_pair == 'All':
group = self.group_pair_context.group_names
pair = self.group_pair_context.pair_names
group += self.group_pair_context.get_diffs("group")
pair += self.group_pair_context.get_diffs("pair")
else:
group_pair_list = group_and_pair.replace(' ', '').split(',')
group = [
group for group in group_pair_list
if group in self.group_pair_context.group_names
]
# add group diffs
diffs = [
diff.name
for diff in self.group_pair_context.get_diffs("group")
]
group += [diff for diff in group_pair_list if diff in diffs]
pair = [
pair for pair in group_pair_list
if pair in self.group_pair_context.pair_names
]
diffs = [
diff.name for diff in self.group_pair_context.get_diffs("pair")
]
pair += [diff for diff in group_pair_list if diff in diffs]
return group, pair
def get_runs(self, runs):
if runs == 'All':
run_list = self.data_context.current_runs
else:
run_list = [
run_string_to_list(item)
for item in runs.replace(' ', '').split(',')
]
flat_list = []
for sublist in run_list:
flat_list += [[run] for run in sublist if len(sublist) > 1]
run_list += flat_list
run_list = [
run for run in run_list
if run in self.data_context.current_runs
]
return run_list
def get_list_of_binned_or_unbinned_workspaces_from_equivalents(
self, input_list):
equivalent_list = []
for item in input_list:
if 'PhaseQuad' in item:
equivalent_list.append(item)
equivalent_group_pair = self.group_pair_context.get_equivalent_group_pair(
item)
if equivalent_group_pair:
equivalent_list.append(equivalent_group_pair)
return equivalent_list
def get_workspace_names_for(self, runs: str, groups_and_pairs: list,
fit_to_raw: bool) -> list:
"""Returns the workspace names of the loaded data for the provided runs and groups/pairs."""
workspace_names = []
for run in self.get_runs(runs):
for group_and_pair in groups_and_pairs:
workspace_names += self.get_workspace_names_of_data_with_run(
run, group_and_pair, fit_to_raw)
return workspace_names
def get_workspace_names_of_data_with_run(self, run: int,
group_and_pair: str,
fit_to_raw: bool):
"""Returns the workspace names of the loaded data with the provided run and group/pair."""
group, pair = self.get_group_and_pair(group_and_pair)
group_names = self.group_pair_context.get_group_workspace_names(
[run], group, not fit_to_raw)
pair_names = self.group_pair_context.get_pair_workspace_names(
[run], pair, not fit_to_raw)
return group_names + pair_names
def remove_workspace(self, workspace):
# required as the renameHandler returns a name instead of a workspace.
if isinstance(workspace, str):
workspace_name = workspace
else:
workspace_name = workspace.name()
self.data_context.remove_workspace_by_name(workspace_name)
self.group_pair_context.remove_workspace_by_name(workspace_name)
self.phase_context.remove_workspace_by_name(workspace_name)
self.fitting_context.remove_workspace_by_name(workspace_name)
self.results_context.remove_workspace_by_name(workspace_name)
self.update_view_from_model_notifier.notify_subscribers(workspace_name)
self.deleted_plots_notifier.notify_subscribers(workspace)
def clear_context(self):
self.data_context.clear()
self.group_pair_context.clear()
self.phase_context.clear()
self.fitting_context.clear()
self.update_view_from_model_notifier.notify_subscribers()
def workspace_replaced(self, workspace):
self.update_plots_notifier.notify_subscribers(workspace)