def METHOD_NAME(v_min, v_max, n_samples, fname):
    samples = []
    for _ in range(n_samples):
        size = random.randint(v_min, v_max)
        samples.append(get_decision_sequence(size))
    with open(fname, "wb") as f:
        pickle.dump(samples, f)