def __init__(self, parent=None, state=None, settings=None, name="BIOSANS", data_proxy=None): super(SANSInstrumentWidget, self).__init__(parent, state, settings, data_proxy=data_proxy) class SummaryFrame(QtGui.QFrame, ui.sans.ui_hfir_instrument.Ui_Frame): def __init__(self, parent=None): QtGui.QFrame.__init__(self, parent) self.setupUi(self) self._summary = SummaryFrame(self) self.initialize_content() self._layout.addWidget(self._summary) self._masked_detectors = [] if state is not None: self.set_state(state) else: instr = ReductionOptions() instr.instrument_name = name self.set_state(instr) # General GUI settings if settings is None: settings = GeneralSettings() self._settings = settings # Connect do UI data update self._settings.data_updated.connect(self._data_updated)
def get_state(self): """ Returns an object with the state of the interface """ m = ReductionOptions() m.instrument_name = self._summary.instr_name_label.text() # Absolute scaling m.scaling_factor = util._check_and_get_float_line_edit( self._summary.scale_edit) m.calculate_scale = self._summary.scale_chk.isChecked() m.scaling_direct_file = unicode(self._summary.scale_data_edit.text()) m.scaling_att_trans = util._check_and_get_float_line_edit( self._summary.scale_att_trans_edit) m.scaling_beam_diam = util._check_and_get_float_line_edit( self._summary.scale_beam_radius_edit, min=0.0) m.manual_beam_diam = self._summary.beamstop_chk.isChecked() # Detector offset input if self._summary.detector_offset_chk.isChecked(): m.detector_offset = util._check_and_get_float_line_edit( self._summary.detector_offset_edit) # Sample-detector distance if self._summary.sample_dist_chk.isChecked(): m.sample_detector_distance = util._check_and_get_float_line_edit( self._summary.sample_dist_edit) # Wavelength value wavelength = util._check_and_get_float_line_edit( self._summary.wavelength_edit, min=0.0) if self._summary.wavelength_chk.isChecked(): m.wavelength = wavelength m.wavelength_spread = util._check_and_get_float_line_edit( self._summary.wavelength_spread_edit) # Solid angle correction m.solid_angle_corr = self._summary.solid_angle_chk.isChecked() # Dark current m.dark_current_corr = self._summary.dark_current_check.isChecked() m.dark_current_data = unicode(self._summary.dark_file_edit.text()) # Normalization if self._summary.normalization_none_radio.isChecked(): m.normalization = m.NORMALIZATION_NONE elif self._summary.normalization_time_radio.isChecked(): m.normalization = m.NORMALIZATION_TIME elif self._summary.normalization_monitor_radio.isChecked(): m.normalization = m.NORMALIZATION_MONITOR # Q range m.n_q_bins = util._check_and_get_int_line_edit( self._summary.n_q_bins_edit) m.n_sub_pix = util._check_and_get_int_line_edit( self._summary.n_sub_pix_edit) m.log_binning = self._summary.log_binning_radio.isChecked() m.align_log_with_decades = self._summary.align_check.isChecked() m.n_wedges = util._check_and_get_int_line_edit( self._summary.n_wedges_edit) m.wedge_angle = util._check_and_get_float_line_edit( self._summary.wedge_angle_edit) m.wedge_offset = util._check_and_get_float_line_edit( self._summary.wedge_offset_edit) # Detector side masking if self._summary.mask_side_front_radio.isChecked(): m.masked_side = 'Front' elif self._summary.mask_side_back_radio.isChecked(): m.masked_side = 'Back' else: m.masked_side = None # Mask detector IDs m.use_mask_file = self._summary.mask_check.isChecked() m.mask_file = unicode(self._summary.mask_edit.text()) m.detector_ids = self._masked_detectors if self._in_mantidplot: from mantid.api import AnalysisDataService import mantid.simpleapi as api if AnalysisDataService.doesExist(self.mask_ws): ws, masked_detectors = api.ExtractMask( InputWorkspace=self.mask_ws, OutputWorkspace="__edited_mask") m.detector_ids = [int(i) for i in masked_detectors] self._settings.emit_key_value("DARK_CURRENT", str(self._summary.dark_file_edit.text())) return m
def get_state(self): """ Returns an object with the state of the interface """ m = ReductionOptions() m.instrument_name = self._summary.instr_name_label.text() # Absolute scaling m.scaling_factor = util._check_and_get_float_line_edit(self._summary.scale_edit) m.calculate_scale = self._summary.scale_chk.isChecked() m.scaling_direct_file = unicode(self._summary.scale_data_edit.text()) m.scaling_att_trans = util._check_and_get_float_line_edit(self._summary.scale_att_trans_edit) m.scaling_beam_diam = util._check_and_get_float_line_edit(self._summary.scale_beam_radius_edit, min=0.0) m.manual_beam_diam = self._summary.beamstop_chk.isChecked() # ## If total detector distance is checked, ignore the other 3 distances: # if self._summary.total_detector_distance_chk.isChecked(): # m.sample_total_distance = util._check_and_get_float_line_edit(self._summary.total_detector_distance_edit) # else: # # Detector offset input # if self._summary.detector_offset_chk.isChecked(): # m.detector_offset = util._check_and_get_float_line_edit(self._summary.detector_offset_edit) # # Sample-detector distance # if self._summary.sample_dist_chk.isChecked(): # m.sample_detector_distance = util._check_and_get_float_line_edit(self._summary.sample_dist_edit) # # Sample-Si-window # if self._summary.sample_si_dist_chk.isChecked(): # m.sample_si_window_distance = util._check_and_get_float_line_edit(self._summary.sample_si_dist_edit) # Workaround: # Offset is not used # The detector_distanc will be used as sample_total_distance m.sample_detector_distance = util._check_and_get_float_line_edit(self._summary.total_detector_distance_edit) m.detector_offset = 0 # Wavelength value wavelength = util._check_and_get_float_line_edit(self._summary.wavelength_edit, min=0.0) if self._summary.wavelength_chk.isChecked(): m.wavelength = wavelength m.wavelength_spread = util._check_and_get_float_line_edit(self._summary.wavelength_spread_edit) # Solid angle correction m.solid_angle_corr = self._summary.solid_angle_chk.isChecked() # Dark current m.dark_current_corr = self._summary.dark_current_check.isChecked() m.dark_current_data = unicode(self._summary.dark_file_edit.text()) # Normalization if self._summary.normalization_none_radio.isChecked(): m.normalization = m.NORMALIZATION_NONE elif self._summary.normalization_time_radio.isChecked(): m.normalization = m.NORMALIZATION_TIME elif self._summary.normalization_monitor_radio.isChecked(): m.normalization = m.NORMALIZATION_MONITOR # Q range m.n_q_bins = util._check_and_get_int_line_edit(self._summary.n_q_bins_edit) m.n_sub_pix = util._check_and_get_int_line_edit(self._summary.n_sub_pix_edit) m.log_binning = self._summary.log_binning_radio.isChecked() m.align_log_with_decades = self._summary.align_check.isChecked() m.error_weighting = self._summary.error_weighting_check.isChecked() m.n_wedges = util._check_and_get_int_line_edit(self._summary.n_wedges_edit) m.wedge_angle = util._check_and_get_float_line_edit(self._summary.wedge_angle_edit) m.wedge_offset = util._check_and_get_float_line_edit(self._summary.wedge_offset_edit) # Detector side masking if self._summary.mask_side_front_radio.isChecked(): m.masked_side = 'Front' elif self._summary.mask_side_back_radio.isChecked(): m.masked_side = 'Back' else: m.masked_side = None # Mask detector IDs m.use_mask_file = self._summary.mask_check.isChecked() m.mask_file = unicode(self._summary.mask_edit.text()) m.detector_ids = self._masked_detectors if self._in_mantidplot: from mantid.api import AnalysisDataService import mantid.simpleapi as api if AnalysisDataService.doesExist(self.mask_ws): _, masked_detectors = api.ExtractMask(InputWorkspace=self.mask_ws, OutputWorkspace="__edited_mask") m.detector_ids = [int(i) for i in masked_detectors] self._settings.emit_key_value("DARK_CURRENT", str(self._summary.dark_file_edit.text())) return m
def get_state(self): """ Returns an object with the state of the interface """ m = ReductionOptions() m.instrument_name = self._summary.instr_name_label.text() # Absolute scaling m.scaling_factor = util._check_and_get_float_line_edit(self._summary.scale_edit) m.calculate_scale = self._summary.scale_chk.isChecked() m.scaling_direct_file = unicode(self._summary.scale_data_edit.text()) m.scaling_att_trans = util._check_and_get_float_line_edit(self._summary.scale_att_trans_edit) m.scaling_beam_diam = util._check_and_get_float_line_edit(self._summary.scale_beam_radius_edit, min=0.0) m.manual_beam_diam = self._summary.beamstop_chk.isChecked() # Detector offset input if self._summary.detector_offset_chk.isChecked(): m.detector_offset = util._check_and_get_float_line_edit(self._summary.detector_offset_edit) # Sample-detector distance if self._summary.sample_dist_chk.isChecked(): m.sample_detector_distance = util._check_and_get_float_line_edit(self._summary.sample_dist_edit) # Wavelength value wavelength = util._check_and_get_float_line_edit(self._summary.wavelength_edit, min=0.0) if self._summary.wavelength_chk.isChecked(): m.wavelength = wavelength m.wavelength_spread = util._check_and_get_float_line_edit(self._summary.wavelength_spread_edit) # Solid angle correction m.solid_angle_corr = self._summary.solid_angle_chk.isChecked() # Dark current m.dark_current_corr = self._summary.dark_current_check.isChecked() m.dark_current_data = unicode(self._summary.dark_file_edit.text()) # Normalization if self._summary.normalization_none_radio.isChecked(): m.normalization = m.NORMALIZATION_NONE elif self._summary.normalization_time_radio.isChecked(): m.normalization = m.NORMALIZATION_TIME elif self._summary.normalization_monitor_radio.isChecked(): m.normalization = m.NORMALIZATION_MONITOR # Q range m.n_q_bins = util._check_and_get_int_line_edit(self._summary.n_q_bins_edit) m.n_sub_pix = util._check_and_get_int_line_edit(self._summary.n_sub_pix_edit) m.log_binning = self._summary.log_binning_radio.isChecked() # Mask detector IDs m.use_mask_file = self._summary.mask_check.isChecked() m.mask_file = unicode(self._summary.mask_edit.text()) m.detector_ids = self._masked_detectors if self._in_mantidplot: from mantid.api import AnalysisDataService import mantid.simpleapi as api if AnalysisDataService.doesExist(self.mask_ws): ws, masked_detectors = api.ExtractMask(InputWorkspace=self.mask_ws, OutputWorkspace="__edited_mask") m.detector_ids = [int(i) for i in masked_detectors] self._settings.emit_key_value("DARK_CURRENT", str(self._summary.dark_file_edit.text())) return m
def get_state(self): """ Returns an object with the state of the interface """ m = ReductionOptions() m.instrument_name = self._summary.instr_name_label.text() # Absolute scaling m.scaling_factor = util._check_and_get_float_line_edit(self._summary.scale_edit) m.calculate_scale = self._summary.scale_chk.isChecked() m.scaling_direct_file = unicode(self._summary.scale_data_edit.text()) m.scaling_att_trans = util._check_and_get_float_line_edit(self._summary.scale_att_trans_edit) m.scaling_beam_diam = util._check_and_get_float_line_edit(self._summary.scale_beam_radius_edit, min=0.0) m.manual_beam_diam = self._summary.beamstop_chk.isChecked() # Detector offset input if self._summary.detector_offset_chk.isChecked(): m.detector_offset = util._check_and_get_float_line_edit(self._summary.detector_offset_edit) # Sample-detector distance if self._summary.sample_dist_chk.isChecked(): m.sample_detector_distance = util._check_and_get_float_line_edit(self._summary.sample_dist_edit) # Wavelength value wavelength = util._check_and_get_float_line_edit(self._summary.wavelength_edit, min=0.0) if self._summary.wavelength_chk.isChecked(): m.wavelength = wavelength m.wavelength_spread = util._check_and_get_float_line_edit(self._summary.wavelength_spread_edit) # Solid angle correction m.solid_angle_corr = self._summary.solid_angle_chk.isChecked() # Dark current m.dark_current_corr = self._summary.dark_current_check.isChecked() m.dark_current_data = unicode(self._summary.dark_file_edit.text()) # Normalization if self._summary.normalization_none_radio.isChecked(): m.normalization = m.NORMALIZATION_NONE elif self._summary.normalization_time_radio.isChecked(): m.normalization = m.NORMALIZATION_TIME elif self._summary.normalization_monitor_radio.isChecked(): m.normalization = m.NORMALIZATION_MONITOR # Q range m.n_q_bins = util._check_and_get_int_line_edit(self._summary.n_q_bins_edit) m.n_sub_pix = util._check_and_get_int_line_edit(self._summary.n_sub_pix_edit) m.log_binning = self._summary.log_binning_radio.isChecked() # Mask detector IDs m.use_mask_file = self._summary.mask_check.isChecked() m.mask_file = unicode(self._summary.mask_edit.text()) m.detector_ids = self._masked_detectors if self._in_mantidplot: if mtd.workspaceExists(self.mask_ws): masked_detectors = GetMaskedDetectors(self.mask_ws) ids_str = masked_detectors.getPropertyValue("DetectorList") m.detector_ids = map(int, ids_str.split(',')) return m