code: def testParallelInterleaveCached(self):
      dataset = dataset_ops.Dataset.range(5)
      dataset = dataset.cache(
          os.path.join(self.get_temp_dir(), "cache_dir")
      )
  
      def interleave_fn(x):
          return dataset_ops.Dataset.from_tensors(x)
  
      dataset = dataset.interleave(
          interleave_fn, cycle_length=2, num_parallel_calls=2
      )
      self.assertDatasetProduces(dataset, list(range(5)))
  
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 7 for calling the InterleaveTest obj's underlying member method code with example usage: obj.testParallelInterleaveCached() and returns: dataset_ops