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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 _L(self, parm):
 """ Creates cholesky decomposition of covariance matrix Parameters parm : np.array Contains transformed latent variables Returns The cholesky decomposition (L) of K """
 

        return np.linalg.cholesky(self.kernel.K(parm) + np.identity(self.X().shape[1])*parm[0])