code: def testAutotuneSetting(self, autotune):
      dataset = dataset_ops.Dataset.range(4)
      options = options_lib.Options()
      options.experimental_optimization.filter_parallelization = True
      options.autotune.enabled = autotune
      dataset = dataset.with_options(options)
      if autotune:
          dataset = dataset.apply(
              testing.assert_next(["ParallelFilter"])
          )
      else:
          dataset = dataset.apply(testing.assert_next(["Filter"]))
      dataset = dataset.filter(
          lambda x: math_ops.not_equal(math_ops.mod(x, 3), 2)
      )
      self.assertDatasetProduces(dataset, expected_output=[0, 1, 3])
  
imports: from absl.testing import parameterized
  import numpy
  from tensorflow.python.data.experimental.ops import testing
  from tensorflow.python.data.kernel_tests import checkpoint_test_base
  from tensorflow.python.data.kernel_tests import test_base
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.data.ops import options
  from tensorflow.python.framework import combinations
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.ops import map_fn
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import script_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 11 for calling the FilterParallelizationTest obj's underlying member method code with example usage: obj.testAutotuneSetting(autotune) without return types