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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 update_gradients_direct(self, dL_dVar, dL_dLen):
 """ Specially intended for the Grid regression case. Given the computed log likelihood derivates, update the corresponding kernel and likelihood gradients. Useful for when gradients have been computed a priori. """

        self.variance.gradient = dL_dVar
        self.lengthscale.gradient = dL_dLen