code: def testAutotuneOption(self):
      dataset = dataset_ops.Dataset.from_tensors(0)
      dataset = dataset.map(lambda x: x).apply(
          testing.assert_next(["Root"])
      )
      options = options_lib.Options()
      options.experimental_optimization.apply_default_optimizations = (
          False
      )
      options.autotune.enabled = True
      dataset = dataset.with_options(options)
      get_next = self.getNext(dataset)
  
      self.assertEqual(0, self.evaluate(get_next()))
      with self.assertRaises(errors.OutOfRangeError):
          self.evaluate(get_next())
  
file_path: tensorflow-upstream/tensorflow/python/data/experimental/kernel_tests/model_dataset_test.py
imports: from absl.testing import parameterized
  from tensorflow.python.data.experimental.ops import testing
  from tensorflow.python.data.kernel_tests import test_base
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.data.ops import map_op
  from tensorflow.python.data.ops import options
  from tensorflow.python.framework import combinations
  from tensorflow.python.framework import errors
  from tensorflow.python.platform import test
label_desc: Use image node_id 1 for calling the ModelDatasetTest obj's underlying member method code with example usage: obj.testAutotuneOption() without return types