def METHOD_NAME():
    dataset = foz.load_zoo_dataset("quickstart").clone()
    dataset.evaluate_detections("predictions", eval_key="eval")
    view = dataset.to_evaluation_patches("eval")
    # Eval patches views inherit tags from the dataset
    print(dataset.count_sample_tags())
    print(view.count_sample_tags())
    view.tag_samples("test")
    # Tagging eval patches has no effect on dataset samples
    print(view.count_sample_tags())
    print(dataset.count_sample_tags())
    view.untag_samples("test")
    # Untagging eval patches has no effect on dataset samples
    print(view.count_sample_tags())
    print(dataset.count_sample_tags())
    view.tag_labels("test")
    # Tagging eval labels immediately syncs with dataset labels
    print(view.count_label_tags())
    print(dataset.count_label_tags())
    print(dataset.count_values("ground_truth.detections.tags"))
    print(dataset.count_values("predictions.detections.tags"))
    view.untag_labels("test")
    # Untagging eval labels immediately syncs with dataset labels
    print(view.count_label_tags())
    print(dataset.count_label_tags())
    print(dataset.count_values("ground_truth.detections.tags"))
    print(dataset.count_values("predictions.detections.tags"))
    view2 = view.match(F("crowd") == True)
    view2.tag_labels("crowded", "predictions")
    # Tagging a view into an evaluation view only affects the constituent
    # labels, both in the patches view and the source dataset
    print(view2.count("predictions.detections"))
    print(view.count_label_tags())
    print(dataset.count_label_tags())
    print(dataset.count_values("ground_truth.detections.tags"))
    print(dataset.count_values("predictions.detections.tags"))
    view2.set_field("ground_truth.detections.hello", "world").save()
    # Saving an eval view syncs modifications and deletions with the source
    # dataset
    print(view.count("ground_truth.detections"))
    print(dataset.count("ground_truth.detections"))
    print(view.count("predictions.detections"))
    print(dataset.count("predictions.detections"))
    print(dataset.count_values("ground_truth.detections.hello"))
    sample = view.first()
    for det in sample.predictions.detections:
        det.hello = "world"
    sample.save()
    # Directly editing and saving a single eval patch syncs any label changes
    # with the dataset's labels
    print(view.count_values("predictions.detections.hello"))
    print(dataset.count_values("predictions.detections.hello"))
    dataset.untag_samples("validation")
    view.reload()
    # Reloading an eval view syncs it with the source dataset's contents
    print(dataset.count_sample_tags())
    print(view.count_sample_tags())