def test_2():
    try:
        from msmbuilder.msm import MarkovStateModel
    except __HOLE__ as e:
        raise SkipTest(e)

    X = [np.random.randint(2, size=10), np.random.randint(2, size=11)]
    out = fit_and_score_estimator(
        MarkovStateModel(), {'verbose': False}, cv=2, X=X, y=None, verbose=0)
    np.testing.assert_array_equal(out['n_train_samples'], [11, 10])
    np.testing.assert_array_equal(out['n_test_samples'], [10, 11])
dataset/ETHPy150Open msmbuilder/osprey/osprey/tests/test_fit_estimator.py/test_2