code: def test_parse_original_feature_from_example(self):
      example = test_utils.make_fake_example()
      original_feature = (
          inference_utils.parse_original_feature_from_example(
              example, "repeated_float"
          )
      )
      self.assertEqual("repeated_float", original_feature.feature_name)
      self.assertEqual(
          [1.0, 2.0, 3.0, 4.0], original_feature.original_value
      )
      self.assertEqual("float_list", original_feature.feature_type)
      self.assertEqual(4, original_feature.length)
  
      original_feature = (
          inference_utils.parse_original_feature_from_example(
              example, "repeated_int"
          )
      )
      self.assertEqual("repeated_int", original_feature.feature_name)
      self.assertEqual([10, 20], original_feature.original_value)
      self.assertEqual("int64_list", original_feature.feature_type)
      self.assertEqual(2, original_feature.length)
  
      original_feature = (
          inference_utils.parse_original_feature_from_example(
              example, "single_int"
          )
      )
      self.assertEqual("single_int", original_feature.feature_name)
      self.assertEqual([0], original_feature.original_value)
      self.assertEqual("int64_list", original_feature.feature_type)
      self.assertEqual(1, original_feature.length)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import os
  import sys
  import numpy
  import tensorflow
  from tensorflow_serving.apis import classification_pb2
  from tensorflow_serving.apis import predict_pb2
  from tensorflow_serving.apis import regression_pb2
  from utils import common_utils
  from utils import inference_utils
  from utils import platform_utils
  from utils import test_utils
label_desc: Use image node_id 4 for calling the InferenceUtilsTest obj's underlying member method code with example usage: obj.test_parse_original_feature_from_example() without return types