def setUp(self):
self.filepath = FileFinder.findRuns('EMU00019489.nxs')[0]
self.load_result, self.run_number, self.filename, _ = load_workspace_from_filename(
self.filepath)
self.loaded_data = MuonLoadData()
self.context = MuonDataContext(load_data=self.loaded_data)
self.context.instrument = 'EMU'
self.loaded_data.add_data(workspace=self.load_result,
run=[self.run_number],
filename=self.filename,
instrument='EMU')
self.context.current_runs = [[self.run_number]]
self.context.update_current_data()
def setup_context(freq=False):
loaded_data = MuonLoadData()
loaded_data.get_main_field_direction = mock.MagicMock(return_value='transverse')
data_context = MuonDataContext(load_data=loaded_data)
gui_context = MuonGuiContext()
group_context = MuonGroupPairContext(data_context.check_group_contains_valid_detectors)
corrections_context = CorrectionsContext(loaded_data)
phase_table_context = PhaseTableContext()
freq_context = FrequencyContext()
plot_panes_context = PlotPanesContext()
if freq:
return FrequencyDomainAnalysisContext(muon_data_context=data_context,
muon_group_context=group_context,
muon_gui_context=gui_context,
muon_phase_context=phase_table_context,
corrections_context=corrections_context,
fitting_context=BasicFittingContext(allow_double_pulse_fitting=True),
frequency_context=freq_context,
plot_panes_context=plot_panes_context)
else:
return DataAnalysisContext(muon_data_context=data_context,
muon_group_context=group_context,
muon_gui_context=gui_context,
corrections_context=corrections_context,
muon_phase_context=phase_table_context,
fitting_context=TFAsymmetryFittingContext(allow_double_pulse_fitting=True),
results_context=ResultsContext(),
model_fitting_context=ModelFittingContext(),
plot_panes_context=plot_panes_context)
def setup_context_for_tests(parent_object):
parent_object.loaded_data = MuonLoadData()
parent_object.loaded_data.get_main_field_direction = mock.MagicMock(return_value='transverse')
parent_object.data_context = MuonDataContext(load_data=parent_object.loaded_data)
parent_object.gui_context = MuonGuiContext()
parent_object.group_context = MuonGroupPairContext(parent_object.data_context.check_group_contains_valid_detectors)
parent_object.corrections_context = CorrectionsContext(parent_object.loaded_data)
parent_object.phase_table_context = PhaseTableContext()
parent_object.fitting_context = TFAsymmetryFittingContext(allow_double_pulse_fitting=True)
parent_object.results_context = ResultsContext()
parent_object.plot_panes_context = PlotPanesContext()
parent_object.model_fitting_context = ModelFittingContext()
parent_object.context = DataAnalysisContext(muon_data_context=parent_object.data_context,
muon_group_context=parent_object.group_context,
muon_gui_context=parent_object.gui_context,
muon_phase_context=parent_object.phase_table_context,
corrections_context=parent_object.corrections_context,
fitting_context=parent_object.fitting_context,
results_context=parent_object.results_context,
model_fitting_context=parent_object.model_fitting_context,
plot_panes_context=parent_object.plot_panes_context)
def __init__(self, parent=None, window_flags=None):
super(FrequencyAnalysisGui, self).__init__(parent)
if window_flags:
self.setWindowFlags(window_flags)
self.setAttribute(QtCore.Qt.WA_DeleteOnClose)
self.setFocusPolicy(QtCore.Qt.StrongFocus)
try:
check_facility()
except AttributeError as error:
self.warning_popup(error.args[0])
# load the feature flags
feature_dict = load_features()
# initialise the data storing classes of the interface
self.loaded_data = MuonLoadData()
self.data_context = MuonDataContext('Frequency Domain Data',
self.loaded_data)
self.gui_context = MuonGuiContext()
self.plot_panes_context = PlotPanesContext()
self.group_pair_context = MuonGroupPairContext(
self.data_context.check_group_contains_valid_detectors)
self.corrections_context = CorrectionsContext(self.loaded_data)
self.phase_context = PhaseTableContext()
self.fitting_context = BasicFittingContext(
allow_double_pulse_fitting=True)
self.results_context = ResultsContext()
self.model_fitting_context = ModelFittingContext(
allow_double_pulse_fitting=False)
self.frequency_context = FrequencyContext()
self.context = FrequencyDomainAnalysisContext(
muon_data_context=self.data_context,
muon_gui_context=self.gui_context,
muon_group_context=self.group_pair_context,
corrections_context=self.corrections_context,
muon_phase_context=self.phase_context,
plot_panes_context=self.plot_panes_context,
fitting_context=self.fitting_context,
results_context=self.results_context,
model_fitting_context=self.model_fitting_context,
frequency_context=self.frequency_context)
# create the dockable widget
self.plot_widget = FrequencyAnalysisPlotWidget(self.context,
parent=self)
self.dockable_plot_widget_window = PlottingDockWidget(
parent=self, plotting_widget=self.plot_widget.view)
self.dockable_plot_widget_window.setMinimumWidth(575)
# Add dock widget to main Muon analysis window
self.addDockWidget(QtCore.Qt.RightDockWidgetArea,
self.dockable_plot_widget_window)
# Need this line to stop the bug where the dock window snaps back to its original size after resizing.
# 0 argument is arbitrary and has no effect on fit widget size
# This is a qt bug reported at (https://bugreports.qt.io/browse/QTBUG-65592)
if QT_VERSION >= LooseVersion("5.6"):
self.resizeDocks({self.dockable_plot_widget_window}, {1},
QtCore.Qt.Horizontal)
# construct all the widgets.
self.load_widget = LoadWidget(self.loaded_data, self.context, self)
self.grouping_tab_widget = GroupingTabWidget(self.context, parent)
self.corrections_tab = CorrectionsTabWidget(self.context, self)
self.home_tab = HomeTabWidget(self.context, self)
self.phase_tab = PhaseTabWidget(self.context, self)
self.transform = TransformWidget(self.context,
FFTWidget,
MaxEntWidget,
parent=self)
self.fitting_tab = FittingTabWidget(self.context, self)
self.seq_fitting_tab = SeqFittingTabWidget(
self.context, self.fitting_tab.fitting_tab_model, self)
self.results_tab = ResultsTabWidget(self.context.fitting_context,
self.context, self)
self.add_model_analysis = AddModelAnalysis(self, feature_dict)
self.add_raw_plots = AddRawPlots(self, feature_dict)
self.add_fitting = AddFitting(self, feature_dict)
setup_group_ws = AddGroupingWorkspaces(self, feature_dict)
self.setup_tabs()
self.plot_widget.insert_plot_panes()
self.help_widget = HelpWidget(self.context.window_title)
central_widget = QtWidgets.QWidget()
vertical_layout = QtWidgets.QVBoxLayout()
vertical_layout.addWidget(self.load_widget.load_widget_view)
vertical_layout.addWidget(self.tabs)
vertical_layout.addWidget(self.help_widget.view)
central_widget.setLayout(vertical_layout)
central_widget.setSizePolicy(
QtWidgets.QSizePolicy(QtWidgets.QSizePolicy.Maximum,
QtWidgets.QSizePolicy.Maximum))
self.disable_notifier = GenericObservable()
self.disable_observer = GenericObserver(
self.disable_notifier.notify_subscribers)
self.enable_notifier = GenericObservable()
self.enable_observer = GenericObserver(
self.enable_notifier.notify_subscribers)
self.setup_disable_notifier()
self.setup_enable_notifier()
self.setCentralWidget(central_widget)
self.setWindowTitle(self.context.window_title)
self.setup_load_observers()
self.setup_gui_variable_observers()
self.setup_grouping_changed_observers()
self.setup_corrections_changed_observers()
self.setup_instrument_changed_notifier()
self.setup_group_calculation_enable_notifier()
self.setup_group_calculation_disabler_notifier()
self.setup_on_load_enabler()
self.setup_on_load_disabler()
self.setup_phase_quad_changed_notifier()
self.setup_phase_table_changed_notifier()
self.setup_fitting_notifier()
self.setup_counts_calculation_finished_notifier()
self.setup_asymmetry_pair_and_diff_calculations_finished_notifier()
self.setup_transform()
self.context.data_context.message_notifier.add_subscriber(
self.grouping_tab_widget.group_tab_presenter.message_observer)
self.add_model_analysis.add_observers_to_feature(self)
self.add_model_analysis.set_feature_observables(self)
self.add_raw_plots.add_observers_to_feature(self)
setup_group_ws.add_observers_to_feature(self)
class MuonDataContextTest(unittest.TestCase):
def setUp(self):
self.filepath = FileFinder.findRuns('EMU00019489.nxs')[0]
self.load_result, self.run_number, self.filename, _ = load_workspace_from_filename(
self.filepath)
self.loaded_data = MuonLoadData()
self.context = MuonDataContext(load_data=self.loaded_data)
self.context.instrument = 'EMU'
self.loaded_data.add_data(workspace=self.load_result,
run=[self.run_number],
filename=self.filename,
instrument='EMU')
self.context.current_runs = [[self.run_number]]
self.context.update_current_data()
def tearDown(self):
AnalysisDataService.clear()
def test_setting_current_data_with_a_different_field_sends_message_signal(
self):
self.context.current_data['MainFieldDirection'] = 'transverse'
self.context.message_notifier.notify_subscribers = mock.MagicMock()
self.context.update_current_data()
self.context.message_notifier.notify_subscribers.assert_called_once_with(
'MainFieldDirection has changed between'
' data sets, click default to reset grouping if required')
self.context.current_data['MainFieldDirection'] = 'longitudinal'
def test_that_setting_current_runs_with_mixture_of_transverse_and_longitudanal_runs_raises_warning(
self):
loaded_data = copy.copy(self.context.current_data)
self.context.message_notifier.notify_subscribers = mock.MagicMock()
loaded_data['MainFieldDirection'] = 'transverse'
self.loaded_data.add_data(workspace=loaded_data,
run=[1],
filename='filename',
instrument='EMU')
self.context.current_runs = [[19489], [1]]
self.context.message_notifier.notify_subscribers.assert_called_once_with(
'MainFieldDirection changes within current run set:\ntransverse field runs 1\nlongitudinal field runs 19489\n'
)
def test_is_data_loaded_returns_true_if_data_loaded(self):
self.assertTrue(self.context.is_data_loaded())
def test_is_data_loaded_returns_false_if_no_data_loaded(self):
self.context._loaded_data.clear()
self.assertFalse(self.context.is_data_loaded())
def test_current_filenames_returns_path_to_current_file(self):
self.assertEqual(self.context.current_filenames, [self.filepath])
def test_current_runs_set_correctly(self):
self.assertEqual(self.context.current_runs, [[19489]])
def test_current_workspaces_returns_correctly(self):
self.assertEqual(self.context.current_workspaces, [self.load_result])
def test_get_loaded_data_for_run_returns_correctly(self):
self.assertEqual(self.context.get_loaded_data_for_run([19489]),
self.load_result)
def test_num_detectors_returns_correctly(self):
self.assertEqual(self.context.num_detectors, 96)
def test_num_periods_returns_correctly(self):
self.assertEqual(self.context.num_periods([19489]), 1)
def test_main_field_direction_returns_correctly(self):
self.assertEqual(self.context.main_field_direction, 'Longitudinal')
def test_dead_time_table_returns_correctly(self):
self.assertEqual(self.context.dead_time_table,
self.load_result['DeadTimeTable'])
def test_return_sample_log_returns_correctly(self):
self.assertEqual(self.context.get_sample_log('goodfrm').value, 31369.0)
def test_that_is_multi_period_returns_false_for_single_period_data(self):
is_multi_period = self.context.is_multi_period()
self.assertTrue(not is_multi_period)
def test_that_any_multi_period_data_will_mark_everything_as_multiperiod(
self):
multi_period_worspace_list = [
MuonWorkspaceWrapper(f'raw_data_{period_index + 1}')
for period_index in range(4)
]
load_result = {'OutputWorkspace': multi_period_worspace_list}
self.loaded_data.add_data(workspace=load_result,
run=[84447],
filename='workspace_filename',
instrument='EMU')
self.context._current_runs = [[84447], [19489]]
is_multi_period = self.context.is_multi_period()
self.assertTrue(is_multi_period)