code: def get_means_and_scales_from_q(self):
          
          means = np.zeros(len(self.q))
          scale = np.zeros(len(self.q))
          for i in range(len(self.q)):
              means[i] = self.q[i].mu0
              scale[i] = self.q[i].sigma0 
          return means, scale
docs: Gets the mean and scales for normal approximating parameters