def from_dict(object_equivalence_dict): if not object_equivalence_dict: return None object_equivalence_ = ObjectEquivalence() object_equivalence_.id = object_equivalence_dict.get('id') object_equivalence_.object_references = [ObjectReference.from_dict(x) for x in object_equivalence_dict.get('object_references', [])] return object_equivalence_
def from_dict(candidate_indc_comp_dict): if not candidate_indc_comp_dict: return None candidate_indicator_composition_ = CandidateIndicatorComposition() candidate_indicator_composition_.operator = candidate_indc_comp_dict.get('operator') if candidate_indc_comp_dict.get('behavior_references') is not None: for behavior_reference_dict in candidate_indc_comp_dict.get('behavior_references'): candidate_indicator_composition_.behavior_references.append(BehaviorReference.from_dict(behavior_reference_dict)) if candidate_indc_comp_dict.get('action_references') is not None: for action_reference_dict in candidate_indc_comp_dict.get('action_references'): candidate_indicator_composition_.action_references.append(ActionReference.from_dict(action_reference_dict)) if candidate_indc_comp_dict.get('object_references') is not None: for object_reference_dict in candidate_indc_comp_dict.get('object_references'): candidate_indicator_composition_.object_references.append(ObjectReference.from_dict(object_reference_dict)) if candidate_indc_comp_dict.get('sub_compositions') is not None: for sub_composition_dict in candidate_indc_comp_dict.get('sub_compositions'): candidate_indicator_composition_.sub_compositions.append(CandidateIndicatorComposition.from_dict(sub_composition_dict)) return candidate_indicator_composition_