def METHOD_NAME(self):
    """ Test whether the covariance of two uncorrelated normally distributed
    data vectors is zero. Only works for big sample sizes / big tolerance
    """
    d1 = np.random.normal(100, 2., self.n_samples)
    d2 = np.random.normal(200, 0.2, self.n_samples)
    self.assertAlmostEqual(cf.cov(d1, d2), 0.0,
                            places=self.tolerance,
                            msg='cobra cov() of two uncorrelated ' +
                            'Gaussians != 0')