code: def _get_min_max_from_calibrator(
      node_id: bytes,
      calib_opts: quantization_options_pb2.CalibrationOptions,
  ) -> tuple[float, float]:
      """Calculate min and max from statistics using calibration options.
  
      Args:
        node_id: bytes of node id.
        calib_opts: Calibration options used for calculating min and max.
  
      Returns:
        (min_value, max_value): Min and max calculated using calib_opts.
  
      Raises:
        ValueError: Unsupported calibration method is given.
      """
      statistics: calibration_statistics_pb2.CalibrationStatistics = (
          pywrap_calibration.get_statistics_from_calibrator(node_id)
      )
      min_value, max_value = calibration_algorithm.get_min_max_value(
          statistics, calib_opts
      )
      return min_value, max_value
  
imports: from collections.abc import Callable, Collection, Mapping, Sequence
  from typing import Optional
  from absl import logging
  from tensorflow.compiler.mlir.quantization.tensorflow import exported_model_pb2
  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.compiler.mlir.quantization.tensorflow.calibrator import pywrap_calibration
  from tensorflow.compiler.mlir.quantization.tensorflow.python import pywrap_function_lib
  from tensorflow.compiler.mlir.quantization.tensorflow.python import representative_dataset
  from tensorflow.compiler.mlir.quantization.tensorflow.python import save_model
  from tensorflow.core.protobuf import meta_graph_pb2
  from tensorflow.core.protobuf import saver_pb2
  from tensorflow.python.client import session
  from tensorflow.python.eager import context
  from tensorflow.python.eager import wrap_function
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor_conversion
  from tensorflow.python.lib.io import file_io
  from tensorflow.python.saved_model import load
  from tensorflow.python.saved_model import loader_impl
  from tensorflow.python.trackable import autotrackable
  from tensorflow.python.types import core
label_desc: Use image node_id 13 for calling a global function with example usage: _get_min_max_from_calibrator(node_id, calib_opts) and returns: min_value,  max_value