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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def predict_covariance(self, X, with_noise=True):
 """ Predicts the covariance matric for points in X. Parameters: X (np.ndarray) - points to run the prediction for. with_noise (bool) - whether to add noise to the prediction. Default is True. """

        _, v = self._predict(X, True, with_noise)
        return v