def METHOD_NAME():
    # This test function raises an error if there is a considerable loss of precision
    # that violates the symmetry property of a distance measure.
    m = 10
    k = 3
    s = 3
    seed = 332
    np.random.seed(seed)
    T = np.random.uniform(-1000.0, 1000.0, [64])
    isconstant_custom_func = functools.partial(
        naive.isconstant_func_stddev_threshold, quantile_threshold=0.05
    )
    (
        ref_snippets,
        ref_indices,
        ref_profiles,
        ref_fractions,
        ref_areas,
        ref_regimes,
    ) = naive.mpdist_snippets(
        T, m, k, s=s, mpdist_T_subseq_isconstant=isconstant_custom_func
    )
    (
        cmp_snippets,
        cmp_indices,
        cmp_profiles,
        cmp_fractions,
        cmp_areas,
        cmp_regimes,
    ) = stumpy.snippets(T, m, k, s=s, mpdist_T_subseq_isconstant=isconstant_custom_func)
    npt.assert_almost_equal(
        ref_snippets, cmp_snippets, decimal=config.STUMPY_TEST_PRECISION
    )
    npt.assert_almost_equal(
        ref_indices, cmp_indices, decimal=config.STUMPY_TEST_PRECISION
    )
    npt.assert_almost_equal(
        ref_profiles, cmp_profiles, decimal=config.STUMPY_TEST_PRECISION
    )
    npt.assert_almost_equal(
        ref_fractions, cmp_fractions, decimal=config.STUMPY_TEST_PRECISION
    )
    npt.assert_almost_equal(ref_areas, cmp_areas, decimal=config.STUMPY_TEST_PRECISION)
    npt.assert_almost_equal(ref_regimes, cmp_regimes)