code: def parse_original_feature_from_example(example, feature_name):
      """Returns an `OriginalFeatureList` for the specified feature_name.
  
      Args:
        example: An example.
        feature_name: A string feature name.
  
      Returns:
        A filled in `OriginalFeatureList` object representing the feature.
      """
      feature = get_example_features(example)[feature_name]
      feature_type = feature.WhichOneof("kind")
      original_value = proto_value_for_feature(example, feature_name)
  
      return OriginalFeatureList(
          feature_name, original_value, feature_type
      )
  
imports: from __future__ import division
  from __future__ import print_function
  import collections
  import copy
  import json
  import math
  from absl import logging
  import numpy
  import tensorflow
  from google.protobuf import json_format
  from six import binary_type, string_types, integer_types
  from six import iteritems
  from six.moves import zip
  from inspect import signature
  from utils import common_utils
  from utils import platform_utils
  from tensorflow_serving.apis import classification_pb2
  from tensorflow_serving.apis import inference_pb2
  from tensorflow_serving.apis import regression_pb2
label_desc: Use image node_id 3 for calling a global function with example usage: parse_original_feature_from_example(example, feature_name) and returns: OriginalFeatureList