code: def testName(self, num_parallel_calls):
      def fn(x):
          return dataset_ops.Dataset.from_tensors(x)
  
      dataset = dataset_ops.Dataset.from_tensors(42).interleave(
          fn, num_parallel_calls=num_parallel_calls, name="interleave"
      )
      self.assertDatasetProduces(dataset, [42])
  
imports: import multiprocessing
  import os
  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 errors
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import sparse_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 9 for calling the InterleaveTest obj's underlying member method code with example usage: obj.testName(num_parallel_calls) and returns: dataset_ops