How to use the kmodes.kmodes.init_cao function in kmodes

max_iter, num_dissim, cat_dissim, gamma, init, init_no,
                        verbose, random_state):
    # For numerical part of initialization, we don't have a guarantee
    # that there is not an empty cluster, so we need to retry until
    # there is none.
    random_state = check_random_state(random_state)
    init_tries = 0
    while True:
        init_tries += 1
        # _____ INIT _____
        if verbose:
            print("Init: initializing centroids")
        if isinstance(init, str) and init.lower() == 'huang':
            centroids = kmodes.init_huang(Xcat, n_clusters, cat_dissim, random_state)
        elif isinstance(init, str) and init.lower() == 'cao':
            centroids = kmodes.init_cao(Xcat, n_clusters, cat_dissim)
        elif isinstance(init, str) and init.lower() == 'random':
            seeds = random_state.choice(range(n_points), n_clusters)
            centroids = Xcat[seeds]
        elif isinstance(init, list):
            # Make sure inits are 2D arrays.
            init = [np.atleast_2d(cur_init).T if len(cur_init.shape) == 1
                    else cur_init
                    for cur_init in init]
            assert init[0].shape[0] == n_clusters, \
                "Wrong number of initial numerical centroids in init " \
                "({}, should be {}).".format(init[0].shape[0], n_clusters)
            assert init[0].shape[1] == nnumattrs, \
                "Wrong number of numerical attributes in init ({}, should be {})." \
                .format(init[0].shape[1], nnumattrs)
            assert init[1].shape[0] == n_clusters, \
                "Wrong number of initial categorical centroids in init ({}, " \