def METHOD_NAME(cls, parameter_set="default"):
    """Return testing parameter settings for the estimator.
    Parameters
    ----------
    parameter_set : str, default="default"
        Name of the set of test parameters to return, for use in tests. If no
        special parameters are defined for a value, will return `"default"` set.
    Returns
    -------
    params : dict or list of dict, default = {}
        Parameters to create testing instances of the class
        Each dict are parameters to construct an "interesting" test instance, i.e.,
        `MyClass(**params)` or `MyClass(**params[i])` creates a valid test instance.
        `create_test_instance` uses the first (or only) dictionary in `params`
    """
    # commented since k-means++ does not properly work
    # errors out with
    # TypeError:
    # _kmeans_plusplus() missing 1 required positional argument: 'sample_weight'
    #
    # params1 = {
    #     "n_clusters": 3,
    #     "max_iter": 3,
    #     "tol": 0.001,
    #     "n_init": 2,
    #     "metric": "euclidean",
    #     "max_iter_barycenter": 7,
    #     "verbose": 0,
    #     "random_state": 42,
    #     "init": "k-means++",
    # }
    params2 = {
        "n_clusters": 2,
        "max_iter": 5,
        "tol": 0.0001,
        "n_init": 1,
        "metric": "dtw",
        "max_iter_barycenter": 10,
        "verbose": 0,
        "random_state": None,
        "init": "random",
    }
    # return [params1, params2]
    return [params2]