def __init__(self, *args: Any, **kwargs: Any) -> None:  # type: ignore
        """
        Initializer that creates a new ormar Model that is also pydantic Model at the
        same time.

        Passed keyword arguments can be only field names and their corresponding values
        as those will be passed to pydantic validation that will complain if extra
        params are passed.

        If relations are defined each relation is expanded and children models are also
        initialized and validated. Relation from both sides is registered so you can
        access related models from both sides.

        Json fields are automatically loaded/dumped if needed.

        Models marked as abstract=True in internal OrmarConfig cannot be initialized.

        Accepts also special __pk_only__ flag that indicates that Model is constructed
        only with primary key value (so no other fields, it's a child model on other
        Model), that causes skipping the validation, that's the only case when the
        validation can be skipped.

        Accepts also special __excluded__ parameter that contains a set of fields that
        should be explicitly set to None, as otherwise pydantic will try to populate
        them with their default values if default is set.

        :raises ModelError: if abstract model is initialized, model has ForwardRefs
         that has not been updated or unknown field is passed
        :param args: ignored args
        :type args: Any
        :param kwargs: keyword arguments - all fields values and some special params
        :type kwargs: Any
        """
        self._verify_model_can_be_initialized()
        self._initialize_internal_attributes()

        pk_only = kwargs.pop("__pk_only__", False)
        object.__setattr__(self, "__pk_only__", pk_only)

        new_kwargs, through_tmp_dict = self._process_kwargs(kwargs)

        if not pk_only:
            self.__pydantic_validator__.validate_python(
                new_kwargs, self_instance=self  # type: ignore
            )
        else:
            fields_set = {self.ormar_config.pkname}
            values = new_kwargs
            object.__setattr__(self, "__dict__", values)
            object.__setattr__(self, "__pydantic_fields_set__", fields_set)
        # add back through fields
        new_kwargs.update(through_tmp_dict)
        model_fields = object.__getattribute__(self, "ormar_config").model_fields
        # register the columns models after initialization
        for related in self.extract_related_names().union(self.extract_through_names()):
            model_fields[related].expand_relationship(
                new_kwargs.get(related), self, to_register=True
            )

        Initializer that creates a new ormar Model that is also pydantic Model at the
        same time.

        Passed keyword arguments can be only field names and their corresponding values
        as those will be passed to pydantic validation that will complain if extra
        params are passed.

        If relations are defined each relation is expanded and children models are also
        initialized and validated. Relation from both sides is registered so you can
        access related models from both sides.

        Json fields are automatically loaded/dumped if needed.

        Models marked as abstract=True in internal OrmarConfig cannot be initialized.

        Accepts also special __pk_only__ flag that indicates that Model is constructed
        only with primary key value (so no other fields, it's a child model on other
        Model), that causes skipping the validation, that's the only case when the
        validation can be skipped.

        Accepts also special __excluded__ parameter that contains a set of fields that
        should be explicitly set to None, as otherwise pydantic will try to populate
        them with their default values if default is set.

        :raises ModelError: if abstract model is initialized, model has ForwardRefs
         that has not been updated or unknown field is passed
        :param args: ignored args
        :type args: Any
        :param kwargs: keyword arguments - all fields values and some special params
        :type kwargs: Any
        
ormar/models/newbasemodel.py