code: def testNestedDictionaryOutput(self):
      dataset = (
          dataset_ops.Dataset.range(8)
          .map(lambda x: {"a": x, "b": {"c": x + 1}})
          .batch(4)
      )
      rebatched_dataset = distribute._LegacyRebatchDataset(
          dataset, num_replicas=2
      )
      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
  import numpy
  from tensorflow.python.data.experimental.ops import distribute
  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.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.framework import tensor_util
  from tensorflow.python.ops import image_ops
  from tensorflow.python.ops.ragged import ragged_tensor
  from tensorflow.python.platform import test
label_desc: Use image node_id 7 for calling the LegacyRebatchDatasetTest obj's underlying member method code with example usage: obj.testNestedDictionaryOutput() without return types