calib_opts: stablehlo_quant_config_pb2.CalibrationOptions,
  ):
    self._statistics = statistics
    self._calib_opts = calib_opts

  @abc.abstractmethod
  def get_min_max_value(self) -> tuple[float, float]:
    pass


class _HistogramCalibrationAlgorithmBase(_CalibrationAlgorithmBase):
  """Base class for histogram calibrators."""

  def __init__(
      self,

    )
    statistics = calib_stats_pb2.CalibrationStatistics()
    statistics.min_max_statistics.global_min = 1.0
    statistics.min_max_statistics.global_max = 5.0

    min_value, max_value = calibration_algorithm.get_min_max_value(
        statistics, calib_opts
    )
    self.assertAllEqual((min_value, max_value), (1.0, 5.0))

  def test_average_min_max(self):
    calib_opts = stablehlo_quant_config_pb2.CalibrationOptions(

        calibration_options_serialized
    )

    return _call_and_return_none_on_error(
        functools.partial(
            calibration_algorithm.get_min_max_value,
            statistics,
            options,
        ),
        error_msg=(
            f'Retrieving calibrated min / max failed. Options: {options}.'
        ),