code: def test(self, verify_fn):
      def build_dataset(num_elements, batch_size):
          return distribute._LegacyRebatchDataset(
              dataset_ops.Dataset.range(num_elements).batch(
                  4 * batch_size, drop_remainder=True
              ),
              num_replicas=4,
          )
  
      verify_fn(self, lambda: build_dataset(64, 8), num_outputs=8)
  
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 1 for calling the LegacyRebatchDatasetCheckpointTest obj's underlying member method code with example usage: obj.test(verify_fn) and returns: distribute