code: def has_change_threshold(eval_config: config_pb2.EvalConfig) -> bool:
      """Checks whether the eval_config has any change thresholds.
  
      Args:
        eval_config: the TFMA eval_config.
  
      Returns:
        True when there are change thresholds otherwise False.
      """
  
      for metrics_spec in eval_config.metrics_specs:
          for metric in metrics_spec.metrics:
              if metric.threshold.change_threshold.ByteSize():
                  return True
              for per_slice_threshold in metric.per_slice_thresholds:
                  if (
                      per_slice_threshold.threshold.change_threshold.ByteSize()
                  ):
                      return True
              for (
                  cross_slice_threshold
              ) in metric.cross_slice_thresholds:
                  if (
                      cross_slice_threshold.threshold.change_threshold.ByteSize()
                  ):
                      return True
          for threshold in metrics_spec.thresholds.values():
              if threshold.change_threshold.ByteSize():
                  return True
          for (
              per_slice_thresholds
          ) in metrics_spec.per_slice_thresholds.values():
              for (
                  per_slice_threshold
              ) in per_slice_thresholds.thresholds:
                  if (
                      per_slice_threshold.threshold.change_threshold.ByteSize()
                  ):
                      return True
          for (
              cross_slice_thresholds
          ) in metrics_spec.cross_slice_thresholds.values():
              for (
                  cross_slice_threshold
              ) in cross_slice_thresholds.thresholds:
                  if (
                      cross_slice_threshold.threshold.change_threshold.ByteSize()
                  ):
                      return True
      return False
  
imports: from typing import Optional
  from absl import logging
  from tensorflow_model_analysis import constants
  from tensorflow_model_analysis.proto import config_pb2
label_desc: Use image node_id 3 for calling a global function with example usage: has_change_threshold(eval_config) and returns: False, True, True, True, True, True, True