code: def testInterleaveMap(self):
      dataset = dataset_ops.Dataset.range(100)
  
      def interleave_fn(x):
          dataset = dataset_ops.Dataset.from_tensors(x)
          return dataset.map(lambda x: x + x)
  
      dataset = dataset.interleave(interleave_fn, cycle_length=5)
      dataset = dataset.interleave(interleave_fn, cycle_length=5)
  
      self.assertDatasetProduces(dataset, [4 * x for x in range(100)])
  
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 6 for calling the InterleaveTest obj's underlying member method code with example usage: obj.testInterleaveMap() and returns: dataset