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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 _build_predict(self, Xnew, full_cov=False):
 """ Xnew is a data matrix, point at which we want to predict This method computes p(F* | (F=LV) ) where F* are points on the GP at Xnew, F=LV are points on the GP at X. """

        mu, var = conditional(Xnew, self.X, self.kern, self.V,
                              full_cov=full_cov,
                              q_sqrt=None, white=True)
        return mu + self.mean_function(Xnew), var