def METHOD_NAME(generator_helper, data_helper):
    input_data = data_helper.generate_multi_feature_full()
    input_data_transform = data_helper.generate_empty()
    generator = BulkFeatureGenerator(
        generators=[
            [
                IdentityFeatureGenerator(infer_features_in_args=dict(valid_raw_types=["unknown_raw_type"])),
            ]
        ]
    )
    expected_feature_metadata_in_full = {}
    expected_feature_metadata_full = {}
    # When
    output_data = generator_helper.fit_transform_assert(
        input_data=input_data,
        generator=generator,
        expected_feature_metadata_in_full=expected_feature_metadata_in_full,
        expected_feature_metadata_full=expected_feature_metadata_full,
    )
    # Then
    assert output_data.shape == (9, 0)
    assert generator.transform(input_data_transform).shape == (9, 0)
    assert generator.transform(input_data_transform.head(5)).shape == (5, 0)