def METHOD_NAME() -> None:
    """Test new and original i3 files contain same predictions."""
    base_path = f"{PRETRAINED_MODEL_DIR}/icecube/upgrade/QUESO/"
    queso_original_file = glob(
        f"{TEST_DATA_DIR}/i3/upgrade_genie_step4_140028_000998/*.i3.gz"
    )[0]
    queso_new_file = glob(f"{TEST_DATA_DIR}/output/QUESO_test/*.i3.gz")[0]
    queso_models = glob(base_path + "/*")
    original_predictions = extract_predictions(
        model_paths=queso_models, file=queso_original_file
    )
    new_predictions = extract_predictions(
        model_paths=queso_models, file=queso_new_file
    )
    assert len(original_predictions) == len(new_predictions)
    for frame in range(len(original_predictions)):
        for model in original_predictions[frame].keys():
            assert model in new_predictions[frame].keys()
            assert (
                new_predictions[frame][model]
                == original_predictions[frame][model]
            )
    return