code: def test_get_numeric_features(self):
      example = test_utils.make_fake_example(single_int_val=2)
      data = inference_utils.get_numeric_feature_names(example)
      self.assertEqual(
          [
              "repeated_float",
              "repeated_int",
              "single_float",
              "single_int",
          ],
          data,
      )
  
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 10 for calling the InferenceUtilsTest obj's underlying member method code with example usage: obj.test_get_numeric_features() without return types