def METHOD_NAME() -> None:
    data = np.random.normal(size=(20, 2))
    num_clusters = 5
    with patch("nevergrad.functions.mlda.datasets.get_data") as data_getter:
        data_getter.return_value = data
        func = problems.Clustering.from_mlda(name="Ruspini", num_clusters=num_clusters, rescale=True).copy()
        np.testing.assert_equal(func.dimension, 10)
    func(np.arange(10).reshape((num_clusters, -1)))
    instru_str = "Array{(5,2)}"
    testing.printed_assert_equal(
        func.descriptors,
        {
            "parametrization": instru_str,
            "function_class": "Clustering",
            "dimension": 10,
            "name": "Ruspini",
            "num_clusters": 5,
            "rescale": True,
        },
    )