code: def test_min_max_max(self):
      calib_opts = quant_opts_pb2.CalibrationOptions(
          calibration_method=_CalibrationMethod.CALIBRATION_METHOD_MIN_MAX
      )
      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))
  
file_path: tensorflow/tensorflow/compiler/mlir/quantization/tensorflow/calibrator/calibration_algorithm_test.py
imports: from absl.testing import parameterized
  import numpy
  from tensorflow.compiler.mlir.quantization.tensorflow import quantization_options_pb2
  from tensorflow.compiler.mlir.quantization.tensorflow.calibrator import calibration_algorithm
  from tensorflow.compiler.mlir.quantization.tensorflow.calibrator import calibration_statistics_pb2
  from tensorflow.python.platform import test
label_desc: Use image node_id 1 for calling the CalibrationAlgorithmTest obj's underlying member method code with example usage: obj.test_min_max_max() without return types