def __init__(self): super(AllStates, self).__init__() self.data : StateData = StateData() self.move: StateMove = StateMove() self.reduction: StateReductionMode = StateReductionMode() self.slice: StateSliceEvent = StateSliceEvent() self.mask: StateMask = StateMask() self.wavelength: StateWavelength = StateWavelength() self.save: StateSave = StateSave() self.scale: StateScale = StateScale() self.adjustment: StateAdjustment = StateAdjustment() self.convert_to_q: StateConvertToQ = StateConvertToQ() self.compatibility: StateCompatibility = StateCompatibility()
def _get_simple_state(fit_type=FitModeForMerge.NO_FIT, scale=1.0, shift=0.0): # Set the reduction parameters reduction_info = StateReductionMode() reduction_info.reduction_mode = ReductionMode.MERGED reduction_info.dimensionality = ReductionDimensionality.TWO_DIM reduction_info.merge_shift = shift reduction_info.merge_scale = scale reduction_info.merge_fit_mode = fit_type # Get the sample state test_director = TestDirector() test_director.set_states(reduction_state=reduction_info) return test_director.construct()
def _create_state_objs(self, data_info): self.adjustment = StateAdjustment() self.compatibility = StateCompatibility() self.convert_to_q = StateConvertToQ() self.calculate_transmission = get_calculate_transmission( instrument=self.instrument) self.mask = get_mask_builder(data_info=data_info).build() self.move = get_move_builder(data_info=data_info).build() self.normalize_to_monitor = get_normalize_to_monitor_builder( data_info=data_info).build() self.reduction_mode = StateReductionMode() self.scale = StateScale() self.wavelength = StateWavelength() self.wavelength_and_pixel = get_wavelength_and_pixel_adjustment_builder( data_info=data_info).build() # Ensure they are linked up correctly self.adjustment.calculate_transmission = self.calculate_transmission self.adjustment.normalize_to_monitor = self.normalize_to_monitor self.adjustment.wavelength_and_pixel_adjustment = self.wavelength_and_pixel
def test_that_converter_methods_work(self): # Arrange state = StateReductionMode() state.reduction_mode = ReductionMode.MERGED state.dimensionality = ReductionDimensionality.TWO_DIM state.merge_shift = 12.65 state.merge_scale = 34.6 state.merge_fit_mode = FitModeForMerge.SHIFT_ONLY state.detector_names[DetectorType.LAB.value] = "Test1" state.detector_names[DetectorType.HAB.value] = "Test2" state.merge_mask = True state.merge_min = 78.89 state.merge_max = 56.4 # Assert merge_strategy = state.get_merge_strategy() self.assertEqual(merge_strategy[0], ReductionMode.LAB) self.assertEqual(merge_strategy[1], ReductionMode.HAB) all_reductions = state.get_all_reduction_modes() self.assertEqual(len(all_reductions), 2) self.assertEqual(all_reductions[0], ReductionMode.LAB) self.assertEqual(all_reductions[1], ReductionMode.HAB) result_lab = state.get_detector_name_for_reduction_mode(ReductionMode.LAB) self.assertEqual(result_lab, "Test1") result_hab = state.get_detector_name_for_reduction_mode(ReductionMode.HAB) self.assertEqual(result_hab, "Test2") self.assertRaises(RuntimeError, state.get_detector_name_for_reduction_mode, "non_sense")
def construct(self): facility = SANSFacility.ISIS file_information = SANSFileInformationMock(run_number=22024, instrument=SANSInstrument.SANS2D) # Build the SANSStateData if self.data_state is None: data_builder = get_data_builder(facility, file_information) data_builder.set_sample_scatter("SANS2D00022024") data_builder.set_can_scatter("SANS2D00022024") self.data_state = data_builder.build() # Build the SANSStateMove if self.move_state is None: move_builder = get_move_builder(self.data_state) if hasattr(move_builder, "set_HAB_x_translation_correction"): move_builder.set_HAB_x_translation_correction(21.2) move_builder.set_LAB_x_translation_correction(12.1) self.move_state = move_builder.build() if self.inst_info_state is None: self.inst_info_state = StateInstrumentInfo.build_from_data_info(self.data_state) # Build the SANSStateReduction if self.reduction_state is None: state_reduction = StateReductionMode() state_reduction.reduction_dimensionality = ReductionDimensionality.ONE_DIM state_reduction.merge_fit_mode = FitModeForMerge.BOTH state_reduction.merge_shift = 324.2 state_reduction.merge_scale = 3420.98 state_reduction.reduction_mode = ReductionMode.MERGED self.reduction_state = state_reduction # Build the SANSStateSliceEvent if self.slice_state is None: slice_builder = get_slice_event_builder(self.data_state) slice_builder.set_start_time([0.1, 1.3]) slice_builder.set_end_time([0.2, 1.6]) self.slice_state = slice_builder.build() # Build the SANSStateMask if self.mask_state is None: mask_builder = get_mask_builder(self.data_state) mask_builder.set_radius_min(10.0) mask_builder.set_radius_max(20.0) self.mask_state = mask_builder.build() # Build the SANSStateWavelength if self.wavelength_state is None: wavelength_builder = get_wavelength_builder(self.data_state) wavelength_range = (1.0, 10.0) wavelength_builder.state.wavelength_interval.wavelength_full_range = wavelength_range wavelength_builder.state.wavelength_interval.selected_ranges = [wavelength_range] wavelength_builder.set_wavelength_step_type(RangeStepType.LIN) wavelength_builder.set_rebin_type(RebinType.REBIN) self.wavelength_state = wavelength_builder.build() # Build the SANSStateSave if self.save_state is None: save_builder = get_save_builder(self.data_state) save_builder.set_user_specified_output_name("test_file_name") save_builder.set_file_format([SaveType.NEXUS]) self.save_state = save_builder.build() # Build the SANSStateScale if self.scale_state is None: scale_builder = get_scale_builder(self.data_state, file_information) scale_builder.set_shape(SampleShape.FLAT_PLATE) scale_builder.set_width(1.0) scale_builder.set_height(2.0) scale_builder.set_thickness(3.0) scale_builder.set_scale(4.0) self.scale_state = scale_builder.build() instrument = self.data_state.instrument # Build the SANSAdjustmentState if self.adjustment_state is None: # NormalizeToMonitor normalize_to_monitor_builder = get_normalize_to_monitor_builder(self.data_state) wavelength_range = (1.0, 10.0) normalize_to_monitor_builder.state.wavelength_interval.wavelength_full_range = wavelength_range normalize_to_monitor_builder.state.wavelength_interval.selected_ranges = [wavelength_range] normalize_to_monitor_builder.state.wavelength_interval.wavelength_step = 2.0 normalize_to_monitor_builder.set_wavelength_step_type(RangeStepType.LIN) normalize_to_monitor_builder.set_rebin_type(RebinType.REBIN) normalize_to_monitor_builder.set_background_TOF_general_start(1000.) normalize_to_monitor_builder.set_background_TOF_general_stop(2000.) normalize_to_monitor_builder.set_incident_monitor(1) normalize_to_monitor = normalize_to_monitor_builder.build() # CalculateTransmission calculate_transmission_obj = get_calculate_transmission(instrument=instrument) calculate_transmission_obj.transmission_monitor = 3 calculate_transmission_obj.incident_monitor = 2 wavelength_range = (1.0, 10.0) calculate_transmission_obj.wavelength_interval.wavelength_full_range = wavelength_range calculate_transmission_obj.wavelength_interval.selected_ranges = [wavelength_range] calculate_transmission_obj.wavelength_interval.wavelength_step = 2.0 calculate_transmission_obj.wavelength_step_type = RangeStepType.LIN calculate_transmission_obj.rebin_type = RebinType.REBIN calculate_transmission_obj.background_TOF_general_start = 1000. calculate_transmission_obj.background_TOF_general_stop = 2000. calculate_transmission_obj.set_sample_fit_type(FitType.LINEAR) calculate_transmission_obj.set_sample_polynomial_order(0) calculate_transmission_obj.set_sample_wavelength_low(1.0) calculate_transmission_obj.set_sample_wavelength_high(10.0) calculate_transmission_obj.set_can_fit_type(FitType.POLYNOMIAL) calculate_transmission_obj.set_can_polynomial_order(3) calculate_transmission_obj.set_can_wavelength_low(10.0) calculate_transmission_obj.set_can_wavelength_high(20.0) # Wavelength and pixel adjustment wavelength_and_pixel_builder = get_wavelength_and_pixel_adjustment_builder(self.data_state) wavelength_range = (1.0, 10.0) wavelength_and_pixel_builder.state.wavelength_interval.wavelength_full_range = wavelength_range wavelength_and_pixel_builder.state.wavelength_interval.selected_ranges = [wavelength_range] wavelength_and_pixel_builder.state.wavelength_interval.wavelength_step = 2.0 wavelength_and_pixel_builder.set_wavelength_step_type(RangeStepType.LIN) wavelength_and_pixel = wavelength_and_pixel_builder.build() # Adjustment adjustment_builder = get_adjustment_builder(self.data_state) adjustment_builder.set_normalize_to_monitor(normalize_to_monitor) adjustment_builder.set_calculate_transmission(calculate_transmission_obj) adjustment_builder.set_wavelength_and_pixel_adjustment(wavelength_and_pixel) self.adjustment_state = adjustment_builder.build() # SANSStateConvertToQ if self.convert_to_q_state is None: convert_to_q_builder = get_convert_to_q_builder(self.data_state) convert_to_q_builder.set_reduction_dimensionality(ReductionDimensionality.ONE_DIM) convert_to_q_builder.set_use_gravity(False) convert_to_q_builder.set_radius_cutoff(0.002) convert_to_q_builder.set_wavelength_cutoff(12.) convert_to_q_builder.set_q_min(0.1) convert_to_q_builder.set_q_max(0.8) convert_to_q_builder.set_q_1d_rebin_string("0.1,0.01,0.8") convert_to_q_builder.set_use_q_resolution(False) self.convert_to_q_state = convert_to_q_builder.build() # Set the sub states on the SANSState state_builder = get_all_states_builder(self.data_state) state_builder.set_data(self.data_state) state_builder.set_move(self.move_state) state_builder.set_reduction(self.reduction_state) state_builder.set_slice(self.slice_state) state_builder.set_mask(self.mask_state) state_builder.set_wavelength(self.wavelength_state) state_builder.set_save(self.save_state) state_builder.set_scale(self.scale_state) state_builder.set_adjustment(self.adjustment_state) state_builder.set_convert_to_q(self.convert_to_q_state) state_builder.state.instrument_info = self.inst_info_state return state_builder.build()
def test_that_converter_methods_work(self): # Arrange state = StateReductionMode() state.reduction_mode = ReductionMode.MERGED state.dimensionality = ReductionDimensionality.TWO_DIM state.merge_shift = 12.65 state.merge_scale = 34.6 state.merge_fit_mode = FitModeForMerge.SHIFT_ONLY state.merge_mask = True state.merge_min = 78.89 state.merge_max = 56.4 # Assert merge_strategy = state.get_merge_strategy() self.assertEqual(merge_strategy[0], ReductionMode.LAB) self.assertEqual(merge_strategy[1], ReductionMode.HAB) all_reductions = state.get_all_reduction_modes() self.assertEqual(len(all_reductions), 2) self.assertEqual(all_reductions[0], ReductionMode.LAB) self.assertEqual(all_reductions[1], ReductionMode.HAB)