def METHOD_NAME():
    np.random.seed(1)
    reference = pd.Series(np.random.normal(0, 1, 10_000), name='A')
    analysis = reference
    wass_dist = WassersteinDistance(chunker=chunker, threshold=threshold)
    wass_dist = wass_dist.fit(reference).calculate(analysis)
    wass_dist = np.round(wass_dist, 2)
    assert wass_dist == 0