np.round(self._hist_mids / scale) + zero_point, minbound, maxbound
    )
    dequantized_hist_mids = scale * (quantized_hist_mids - zero_point)
    return dequantized_hist_mids

  def _get_weighted_mean_squared_error(
      self, quant_min, quant_max
  ) -> tuple[float, float, float]:
    """Gets mean squared error between hist_mids and dequantized hist_mids.