'Use a single-dimensional array as the dataset and test the
callable\'s cov factor'

def test_callable_singledim_dataset(self):

    np.random.seed(8765678)
    n_basesample = 50
    multidim_data = np.random.randn(n_basesample)
    kde = mlab.GaussianKDE(multidim_data, bw_method=u'silverman')
    y_expected = 0.4843884136334891
    assert_almost_equal(kde.covariance_factor(), y_expected, 7)
