def from_obj(object_equivalence_obj):
if not object_equivalence_obj:
return None
object_equivalence_ = ObjectEquivalence()
object_equivalence_.id = object_equivalence_obj.get_id()
object_equivalence_.object_references = [ObjectReference.from_obj(x) for x in object_equivalence_obj.get_object_Reference()]
return object_equivalence_
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_obj(candidate_indc_comp_obj):
if not candidate_indc_comp_obj:
return None
candidate_indicator_composition_ = CandidateIndicatorComposition()
candidate_indicator_composition_.operator = candidate_indc_comp_obj.get_operator()
if len(candidate_indc_comp_obj.get_Behavior_Reference()) > 0:
for behavior_reference_obj in candidate_indc_comp_obj.get_Behavior_Reference():
candidate_indicator_composition_.behavior_references.append(BehaviorReference.from_obj(behavior_reference_obj))
if len(candidate_indc_comp_obj.get_Action_Reference()) > 0:
for action_reference_obj in candidate_indc_comp_obj.get_Action_Reference():
candidate_indicator_composition_.action_references.append(ActionReference.from_obj(action_reference_obj))
if len(candidate_indc_comp_obj.get_Object_Reference()) > 0:
for object_reference_obj in candidate_indc_comp_obj.get_Object_Reference():
candidate_indicator_composition_.object_references.append(ObjectReference.from_obj(object_reference_obj))
if len(candidate_indc_comp_obj.get_Sub_Composition()) > 0:
for sub_composition_obj in candidate_indc_comp_obj.get_Sub_Composition():
candidate_indicator_composition_.sub_compositions.append(CandidateIndicatorComposition.from_obj(sub_composition_obj))
return candidate_indicator_composition_
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_
def createfindingbundlesmetaanalysisobjectequivalencereference(self,object_idref=None):
#unresolved library bug
reference = ObjectReference()
reference.object_idref =object_idref
return reference
