def METHOD_NAME():
    vision_data = load_dataset(object_type='VisionData', use_iterable_dataset=False, n_samples=100, shuffle=False)
    batch = next(iter(vision_data))
    vision_data_again = load_dataset(object_type='VisionData', use_iterable_dataset=False, n_samples=100, shuffle=False)
    batch_again = next(iter(vision_data_again))
    vision_data_shuffled = load_dataset(object_type='VisionData', use_iterable_dataset=False, n_samples=100,
                                        shuffle=True)
    batch_shuffled = next(iter(vision_data_shuffled))
    vision_data_shuffled_again = load_dataset(object_type='VisionData', use_iterable_dataset=False, n_samples=100,
                                              shuffle=True)
    batch_shuffled_again = next(iter(vision_data_shuffled_again))
    assert_that(batch['labels'], is_not(equal_to(batch_shuffled['labels'])))
    assert_that(batch['labels'], equal_to(batch_again['labels']))
    assert_that(batch_shuffled_again['labels'], is_not(equal_to(batch_shuffled['labels'])))