@property
    def covariance(self):
        if self._covariance is None:
            #LiK, _ = dtrtrs(self.woodbury_chol, self._K, lower=1)
            self._covariance = (np.atleast_3d(self._K) - np.tensordot(np.dot(np.atleast_3d(self.woodbury_inv).T, self._K), self._K, [1,0]).T).squeeze()
            #self._covariance = self._K - self._K.dot(self.woodbury_inv).dot(self._K)
        return self._covariance
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dataset/ETHPy150Open SheffieldML/GPy/GPy/inference/latent_function_inference/posterior.py/Posterior.covariance--crossover with--dataset/ETHPy150Open jorisroovers/gitlint/gitlint/cli.py/cli