    def from_dict(d: Dict[str, Any]) -> AModel:
        an_enum_value = AnEnum(d["an_enum_value"])

        def _parse_a_camel_date_time(data: Dict[str, Any]) -> Union[datetime, date]:
            a_camel_date_time: Union[datetime, date]
            try:
                a_camel_date_time = datetime.fromisoformat(d["aCamelDateTime"])

                return a_camel_date_time
            except:
                pass
            a_camel_date_time = date.fromisoformat(d["aCamelDateTime"])

            return a_camel_date_time

        a_camel_date_time = _parse_a_camel_date_time(d["aCamelDateTime"])

        a_date = date.fromisoformat(d["a_date"])

        nested_list_of_enums = []
        for nested_list_of_enums_item_data in d.get("nested_list_of_enums") or []:
            nested_list_of_enums_item = []
            for nested_list_of_enums_item_item_data in nested_list_of_enums_item_data:
                nested_list_of_enums_item_item = DifferentEnum(nested_list_of_enums_item_item_data)

                nested_list_of_enums_item.append(nested_list_of_enums_item_item)

            nested_list_of_enums.append(nested_list_of_enums_item)

        some_dict = d.get("some_dict")

        return AModel(
            an_enum_value=an_enum_value,
            a_camel_date_time=a_camel_date_time,
            a_date=a_date,
            nested_list_of_enums=nested_list_of_enums,
            some_dict=some_dict,
        )
The software constructs all or part of a code segment using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the syntax or behavior of the intended code segment.