code: def test_make_mutant_tuples_int_list(self):
      example = self.make_and_write_fake_example()
      index_to_mutate = 1
      num_mutants = 10
      viz_params = inference_utils.VizParams(
          x_min=1,
          x_max=10,
          examples=[example],
          num_mutants=num_mutants,
          feature_index_pattern=None,
      )
      original_feature = (
          inference_utils.parse_original_feature_from_example(
              example, "repeated_int"
          )
      )
      (
          mutant_features,
          mutant_examples,
      ) = inference_utils.make_mutant_tuples(
          [example],
          original_feature,
          index_to_mutate=index_to_mutate,
          viz_params=viz_params,
      )
  
      # Check that values in mutant_features and mutant_examples are as expected.
      expected_values = np.linspace(1, 10, num_mutants)
      np.testing.assert_almost_equal(
          expected_values,
          [
              mutant_feature.mutant_value
              for mutant_feature in mutant_features
          ],
      )
      np.testing.assert_almost_equal(
          expected_values,
          [
              mutant_example.features.feature[
                  "repeated_int"
              ].int64_list.value[index_to_mutate]
              for mutant_example in mutant_examples
          ],
      )
  
      # Check that the example (other than the mutant value) is the same.
      for expected_value, mutant_example in zip(
          expected_values, mutant_examples
      ):
          mutant_values = test_utils.value_from_example(
              mutant_example, "repeated_int"
          )
          original_values = test_utils.value_from_example(
              example, "repeated_int"
          )
          original_values[index_to_mutate] = expected_value
          self.assertEqual(original_values, mutant_values)
  
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 18 for calling the InferenceUtilsTest obj's underlying member method code with example usage: obj.test_make_mutant_tuples_int_list() without return types