code: def testNoParallelizationInsideInterleave(self):
      def func(i):
          ds = (
              dataset_ops.Dataset.range(i)
              .apply(testing.assert_next(["Map"]))
              .map(lambda x: x + 1)
          )
          return ds
  
      dataset = dataset_ops.Dataset.range(1, 4).interleave(
          map_func=func, cycle_length=2, block_length=2
      )
      options = options_lib.Options()
      options.experimental_optimization.apply_default_optimizations = (
          False
      )
      options.experimental_optimization.map_parallelization = True
      dataset = dataset.with_options(options)
  
      self.assertDatasetProduces(
          dataset, expected_output=[1, 1, 2, 1, 2, 3]
      )
  
imports: import functools
  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 options
  from tensorflow.python.framework import combinations
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.ops import control_flow_assert
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import test
label_desc: Use image node_id 5 for calling the MapParallelizationTest obj's underlying member method code with example usage: obj.testNoParallelizationInsideInterleave() and returns: ds