def METHOD_NAME(cross_validation_method):
    """Test if sklearn cross-validation iterators can handle aeon time series data."""
    X, y = make_3d_test_data(n_cases=20, n_channels=2, n_timepoints=30)
    groups = [1, 1, 2, 2, 3, 3, 4, 4, 5, 5, 6, 6, 7, 7, 8, 8, 9, 9, 10, 10]
    for train, test in cross_validation_method.split(X=X, y=y, groups=groups):
        assert isinstance(train, np.ndarray) and isinstance(test, np.ndarray)