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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 G(self):
 """Inverse cross-spectral density. .. math:: \mathbf{G}(f) = \mathbf{A}(f) \mathbf{C}^{-1} \mathbf{A}'(f) """

        if self.c is None:
            raise RuntimeError('Inverse cross spectral density requires '
                               'invertible noise covariance matrix c.')
        A = self.A()
        # TODO: can we do that more efficiently?
        G = np.einsum('ji..., jk... ->ik...', A.conj(), self.Cinv())
        G = np.einsum('ij..., jk... ->ik...', G, A)
        return G