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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 _hammer_function_precompute(self,x0, L, Min, model):
 """ Pre-computes the parameters of a penalizer centered at x0. """

        if x0 is None: return None, None
        if len(x0.shape)==1: x0 = x0[None,:]
        m = model.predict(x0)[0]
        pred = model.predict(x0)[1].copy()
        pred[pred<1e-16] = 1e-16
        s = np.sqrt(pred)
        r_x0 = (m-Min)/L
        s_x0 = s/L
        r_x0 = r_x0.flatten()
        s_x0 = s_x0.flatten()
        return r_x0, s_x0