code: def test_no_stateful_ops_interleave(
      self, use_function, use_legacy_interleave
  ):
      self._set_seed()
      with test_util.deterministic_ops():
  
          def interleave_fn(x):
              del x
              return dataset_ops.Dataset.range(2)
  
          if use_function:
              interleave_fn = def_function.function(interleave_fn)
  
          dataset = dataset_ops.Dataset.range(5)
          if use_legacy_interleave:
              dataset = dataset.apply(
                  testing.assert_next(["LegacyParallelInterleaveV2"])
              )
              dataset = dataset.apply(
                  interleave_ops.parallel_interleave(
                      interleave_fn, cycle_length=5
                  )
              )
          else:
              dataset = dataset.apply(
                  testing.assert_next(["ParallelInterleave"])
              )
              dataset = dataset.interleave(
                  interleave_fn, cycle_length=5, num_parallel_calls=3
              )
          self.evaluate(variables.global_variables_initializer())
          self.assertDatasetProduces(
              dataset, expected_output=[0] * 5 + [1] * 5
          )
  
imports: import os
  import time
  from absl.testing import parameterized
  import numpy
  from tensorflow.python.compat import v2_compat
  from tensorflow.python.data.experimental.ops import batching
  from tensorflow.python.data.experimental.ops import interleave_ops
  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 options
  from tensorflow.python.data.ops import readers
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import combinations
  from tensorflow.python.framework import config
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import random_seed
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import cond
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import random_ops
  from tensorflow.python.ops import script_ops
  from tensorflow.python.ops import string_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import test
label_desc: Use image node_id 8 for calling the MakeDeterministicTest obj's underlying member method code with example usage: obj.test_no_stateful_ops_interleave(use_function, use_legacy_interleave) and returns: dataset_ops