code: def testEmptySplits(self, drop_remainder):
      # It's possible for splits to be empty if the batch size is smaller than
      # the number of replicas. Here, we use an example with batch_size == 4
      # and num_replicas == 5.
      dataset = dataset_ops.Dataset.range(8).batch(
          4, drop_remainder=True
      )
      rebatched_dataset = dataset.rebatch(
          batch_size=[1, 1, 1, 1, 0], drop_remainder=drop_remainder
      )
  
      expected_shapes = [[None]]
      self.assertEqual(expected_shapes, _flat_shapes(rebatched_dataset))
  
      expected_output = [[0], [1], [2], [3], [], [4], [5], [6], [7], []]
      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 11 for calling the RebatchTest obj's underlying member method code with example usage: obj.testEmptySplits(drop_remainder) without return types