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 __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
