code: def test(self, verify_fn):
      def build_dataset(num_elements, batch_size):
          dataset = dataset_ops.Dataset.range(num_elements)
          dataset_batched = dataset.batch(
              2 * batch_size, drop_remainder=True
          )
          return dataset_batched.rebatch(
              batch_size=[batch_size, batch_size]
          )
  
      verify_fn(self, lambda: build_dataset(64, 8), num_outputs=8)
  
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 1 for calling the RebatchDatasetCheckpointTest obj's underlying member method code with example usage: obj.test(verify_fn) and returns: dataset_batched