def update_lconfigdataset(self):
runs_are_compatible = self.runs_are_compatible
big_table_data = self.parent.big_table_data
_lconfig = big_table_data[self.row, 2]
if _lconfig is None:
_lconfig = LConfigDataset()
if self.is_working_with_data_column:
_lconfig.data_full_file_anme = self.list_nexus
_lconfig.data_sets = self.list_run
_lconfig.data_wks = self.wks
_lconfig.data_runs_compatible = runs_are_compatible
else:
_lconfig.norm_full_file_anme = self.list_nexus
_lconfig.norm_sets = self.list_run
_lconfig.norm_wks = self.wks
_lconfig.norm_runs_compatible = runs_are_compatible
big_table_data[self.row, 2] = _lconfig
self.parent.big_table_data = big_table_data
def update_lconfigdataset(self):
runs_are_compatible = self.runs_are_compatible
big_table_data = self.parent.big_table_data
_lconfig = big_table_data[self.row, 2]
if _lconfig is None:
_lconfig = LConfigDataset()
if self.is_working_with_data_column:
_lconfig.data_full_file_anme = self.list_nexus
_lconfig.data_sets = self.list_run
_lconfig.data_wks = self.wks
_lconfig.data_runs_compatible = runs_are_compatible
else:
_lconfig.norm_full_file_anme = self.list_nexus
_lconfig.norm_sets = self.list_run
_lconfig.norm_wks = self.wks
_lconfig.norm_runs_compatible = runs_are_compatible
big_table_data[self.row, 2] = _lconfig
self.parent.big_table_data = big_table_data
def save_reduction(self,
row = -1,
workspace = None):
big_table_data = self.big_table_data
_config = big_table_data[row, 2]
if _config is None:
_config = LConfigDataset()
mtd_workspace = mtd[workspace]
_config.proton_charge = float(mtd_workspace.getRun().getProperty('gd_prtn_chrg').value)
_config.reduce_q_axis = mtd_workspace.readX(0)[:]
_config.reduce_y_axis = mtd_workspace.readY(0)[:]
_config.reduce_e_axis = mtd_workspace.readE(0)[:]
_config.q_axis_for_display = mtd_workspace.readX(0)[:]
_config.y_axis_for_display = mtd_workspace.readY(0)[:]
_config.e_axis_for_display = mtd_workspace.readE(0)[:]
# _config.sf_auto_found_match = mtd_workspace.getRun().getProperty('isSFfound').value
big_table_data[row, 2] = _config
self.big_table_data = big_table_data
def getMetadataObject(self, node):
iMetadata = LConfigDataset()
_peak_min = self.getNodeValue(node, 'from_peak_pixels')
_peak_max = self.getNodeValue(node, 'to_peak_pixels')
iMetadata.data_peak = [_peak_min, _peak_max]
_back_min = self.getNodeValue(node, 'back_roi1_from')
_back_max = self.getNodeValue(node, 'back_roi1_to')
iMetadata.data_back = [_back_min, _back_max]
_low_res_min = self.getNodeValue(node, 'x_min_pixel')
_low_res_max = self.getNodeValue(node, 'x_max_pixel')
iMetadata.data_low_res = [_low_res_min, _low_res_max]
_back_flag = self.getNodeValue(node, 'background_flag')
iMetadata.data_back_flag = _back_flag
_low_res_flag = self.getNodeValue(node, 'x_range_flag')
iMetadata.data_low_res_flag = _low_res_flag
_clocking_min = self.getNodeValue(node, 'clocking_from')
_clocking_max = self.getNodeValue(node, 'clocking_to')
iMetadata.data_clocking = [_clocking_min, _clocking_max]
_tof_min = self.getNodeValue(node, 'from_tof_range')
_tof_max = self.getNodeValue(node, 'to_tof_range')
if float(_tof_min) < 500: # ms
_tof_min = str(float(_tof_min) * 1000)
_tof_max = str(float(_tof_max) * 1000)
iMetadata.tof_range = [_tof_min, _tof_max]
_q_min = self.getNodeValue(node, 'from_q_range')
_q_max = self.getNodeValue(node, 'to_q_range')
iMetadata.q_range = [_q_min, _q_max]
_lambda_min = self.getNodeValue(node, 'from_lambda_range')
_lambda_max = self.getNodeValue(node, 'to_lambda_range')
iMetadata.lambda_range = [_lambda_min, _lambda_max]
iMetadata.tof_units = 'micros'
_data_sets = self.getNodeValue(node, 'data_sets')
_data_sets = _data_sets.split(',')
iMetadata.data_sets = [str(x) for x in _data_sets]
_tof_auto = self.getNodeValue(node, 'tof_range_flag')
iMetadata.tof_auto_flag = _tof_auto
_norm_flag = self.getNodeValue(node, 'norm_flag')
iMetadata.norm_flag = _norm_flag
_peak_min = self.getNodeValue(node, 'norm_from_peak_pixels')
_peak_max = self.getNodeValue(node, 'norm_to_peak_pixels')
iMetadata.norm_peak = [_peak_min, _peak_max]
_back_min = self.getNodeValue(node, 'norm_from_back_pixels')
_back_max = self.getNodeValue(node, 'norm_to_back_pixels')
iMetadata.norm_back = [_back_min, _back_max]
_norm_sets = self.getNodeValue(node, 'norm_dataset')
_norm_sets = _norm_sets.split(',')
iMetadata.norm_sets = [str(x) for x in _norm_sets]
_low_res_min = self.getNodeValue(node, 'norm_x_min')
_low_res_max = self.getNodeValue(node, 'norm_x_max')
iMetadata.norm_low_res = [_low_res_min, _low_res_max]
_back_flag = self.getNodeValue(node, 'norm_background_flag')
iMetadata.norm_back_flag = _back_flag
_low_res_flag = self.getNodeValue(node, 'norm_x_range_flag')
iMetadata.norm_low_res_flag = _low_res_flag
try:
_data_full_file_name = self.getNodeValue(node,
'data_full_file_name')
_data_full_file_name = _data_full_file_name.split(',')
_data_full_file_name = [str(x) for x in _data_full_file_name]
except:
_data_full_file_name = ['']
iMetadata.data_full_file_name = _data_full_file_name
try:
_norm_full_file_name = self.getNodeValue(node,
'norm_full_file_name')
_norm_full_file_name = _norm_full_file_name.split(',')
_norm_full_fil_name = [str(x) for x in _norm_full_file_name]
except:
_norm_full_file_name = ['']
iMetadata.norm_full_file_name = _norm_full_file_name
return iMetadata
def getMetadataObject(parent, node):
iMetadata = LConfigDataset()
_peak_min = parent.getNodeValue(node, 'from_peak_pixels')
_peak_max = parent.getNodeValue(node, 'to_peak_pixels')
iMetadata.data_peak = [_peak_min, _peak_max]
_back_min = parent.getNodeValue(node, 'back_roi1_from')
_back_max = parent.getNodeValue(node, 'back_roi1_to')
iMetadata.data_back = [_back_min, _back_max]
_low_res_min = parent.getNodeValue(node, 'x_min_pixel')
_low_res_max = parent.getNodeValue(node, 'x_max_pixel')
iMetadata.data_low_res = [_low_res_min, _low_res_max]
_back_flag = parent.getNodeValue(node, 'background_flag')
iMetadata.data_back_flag = _back_flag
_low_res_flag = parent.getNodeValue(node, 'x_range_flag')
iMetadata.data_low_res_flag = _low_res_flag
_clocking_min = parent.getNodeValue(node, 'clocking_from')
_clocking_max = parent.getNodeValue(node, 'clocking_to')
iMetadata.data_clocking = [_clocking_min, _clocking_max]
_tof_min = parent.getNodeValue(node, 'from_tof_range')
_tof_max = parent.getNodeValue(node, 'to_tof_range')
if float(_tof_min) < 500: # ms
_tof_min = str(float(_tof_min) * 1000)
_tof_max = str(float(_tof_max) * 1000)
iMetadata.tof_range = [_tof_min, _tof_max]
_q_min = parent.getNodeValue(node, 'from_q_range')
_q_max = parent.getNodeValue(node, 'to_q_range')
iMetadata.q_range = [_q_min, _q_max]
_lambda_min = parent.getNodeValue(node, 'from_lambda_range')
_lambda_max = parent.getNodeValue(node, 'to_lambda_range')
iMetadata.lambda_range = [_lambda_min, _lambda_max]
iMetadata.tof_units = 'micros'
_data_sets = parent.getNodeValue(node, 'data_sets')
_data_sets = _data_sets.split(',')
iMetadata.data_sets = [str(x) for x in _data_sets]
_tof_auto = parent.getNodeValue(node, 'tof_range_flag')
iMetadata.tof_auto_flag = _tof_auto
_norm_flag = parent.getNodeValue(node, 'norm_flag')
iMetadata.norm_flag = _norm_flag
_peak_min = parent.getNodeValue(node, 'norm_from_peak_pixels')
_peak_max = parent.getNodeValue(node, 'norm_to_peak_pixels')
iMetadata.norm_peak = [_peak_min, _peak_max]
_back_min = parent.getNodeValue(node, 'norm_from_back_pixels')
_back_max = parent.getNodeValue(node, 'norm_to_back_pixels')
iMetadata.norm_back = [_back_min, _back_max]
_norm_sets = parent.getNodeValue(node, 'norm_dataset')
_norm_sets = _norm_sets.split(',')
iMetadata.norm_sets = [str(x) for x in _norm_sets]
_low_res_min = parent.getNodeValue(node, 'norm_x_min')
_low_res_max = parent.getNodeValue(node, 'norm_x_max')
iMetadata.norm_low_res = [_low_res_min, _low_res_max]
_back_flag = parent.getNodeValue(node, 'norm_background_flag')
iMetadata.norm_back_flag = _back_flag
_low_res_flag = parent.getNodeValue(node, 'norm_x_range_flag')
iMetadata.norm_low_res_flag = _low_res_flag
try:
_data_full_file_name = parent.getNodeValue(node, 'data_full_file_name')
_data_full_file_name = _data_full_file_name.split(',')
_data_full_file_name = [str(x) for x in _data_full_file_name]
except:
_data_full_file_name = ['']
iMetadata.data_full_file_name = _data_full_file_name
try:
_norm_full_file_name = parent.getNodeValue(node, 'norm_full_file_name')
_norm_full_file_name = _norm_full_file_name.split(',')
_norm_full_fil_name = [str(x) for x in _norm_full_file_name]
except:
_norm_full_file_name = ['']
iMetadata.norm_full_file_name = _norm_full_file_name
return iMetadata
def save_reduction(self, row=-1, workspace=None):
big_table_data = self.big_table_data
_config = big_table_data[row, 2]
if _config is None:
_config = LConfigDataset()
mtd_workspace = mtd[workspace]
_config.wks = workspace
_config.proton_charge = float(
mtd_workspace.getRun().getProperty('gd_prtn_chrg').value)
_config.reduce_q_axis = mtd_workspace.readX(0)[:]
_config.reduce_y_axis = mtd_workspace.readY(0)[:]
_config.reduce_e_axis = mtd_workspace.readE(0)[:]
_config.q_axis_for_display = mtd_workspace.readX(0)[:]
_config.y_axis_for_display = mtd_workspace.readY(0)[:]
_config.e_axis_for_display = mtd_workspace.readE(0)[:]
try:
_config.sf_auto_found_match = mtd_workspace.getRun().getProperty(
'isSFfound').value
_config.sf_clocking = float(
mtd_workspace.getRun().getProperty('primary_fraction').value)
_config.is_sf_clocking_used = True
except:
pass
big_table_data[row, 2] = _config
self.big_table_data = big_table_data
