code: def testNestedDictionaryOutput(self):
      def map_fn(x):
          return {"a": x, "b": {"c": x + 1}}
  
      dataset = (
          dataset_ops.Dataset.range(8)
          .map(map_fn)
          .batch(4, drop_remainder=True)
      )
      rebatched_dataset = dataset.rebatch([2, 2])
      self.assertEqual([[2], [2]], _flat_shapes(rebatched_dataset))
  
      expected_output = [
          {"a": [0, 1], "b": {"c": [1, 2]}},
          {"a": [2, 3], "b": {"c": [3, 4]}},
          {"a": [4, 5], "b": {"c": [5, 6]}},
          {"a": [6, 7], "b": {"c": [7, 8]}},
      ]
      self.assertDatasetProduces(rebatched_dataset, expected_output)
  
imports: from absl.testing import parameterized
  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.util import nest
  from tensorflow.python.framework import combinations
  from tensorflow.python.ops.ragged import ragged_tensor
  from tensorflow.python.platform import test
label_desc: Use image node_id 16 for calling the RebatchTest obj's underlying member method code with example usage: obj.testNestedDictionaryOutput() and returns: dict