def get_exclusion_ranges_tree_model(self):
return wrap_xydata_to_treemodel(self.model, self.model.Meta.get_prop_intel_by_name("exclusion_ranges"))
def get_raw_pattern_tree_model(self):
return wrap_xydata_to_treemodel(
self.model, self.model.Meta.get_prop_intel_by_name("raw_pattern"))
def get_experimental_pattern_tree_model(self):
return wrap_xydata_to_treemodel(self.model, self.model.Meta.get_prop_intel_by_name("experimental_pattern"))
def get_calculated_pattern_tree_model(self):
return wrap_xydata_to_treemodel(self.model, self.model.Meta.get_prop_intel_by_name("calculated_pattern"))
def get_exclusion_ranges_tree_model(self):
return wrap_xydata_to_treemodel(
self.model,
self.model.Meta.get_prop_intel_by_name("exclusion_ranges"))
def get_wavelength_distribution_tree_model(self):
return wrap_xydata_to_treemodel(
self.model,
self.model.Meta.get_prop_intel_by_name("wavelength_distribution"))
def get_exclusion_ranges_tree_model(self):
return wrap_xydata_to_treemodel(self.model, type(self.model).exclusion_ranges)
def get_experimental_pattern_tree_model(self):
return wrap_xydata_to_treemodel(
self.model,
self.model.Meta.get_prop_intel_by_name("experimental_pattern"))
def get_calculated_pattern_tree_model(self):
return wrap_xydata_to_treemodel(self.model, type(self.model).calculated_pattern)
def get_experimental_pattern_tree_model(self):
return wrap_xydata_to_treemodel(self.model, type(self.model).experimental_pattern)
def get_exclusion_ranges_tree_model(self):
return wrap_xydata_to_treemodel(self.model,
type(self.model).exclusion_ranges)
def get_calculated_pattern_tree_model(self):
return wrap_xydata_to_treemodel(self.model,
type(self.model).calculated_pattern)
def get_experimental_pattern_tree_model(self):
return wrap_xydata_to_treemodel(self.model,
type(self.model).experimental_pattern)
