code: def testFinalPartialBatch(self, drop_remainder):
      dataset = dataset_ops.Dataset.range(10).batch(
          4, drop_remainder=drop_remainder
      )
      rebatched_dataset = distribute._LegacyRebatchDataset(
          dataset, num_replicas=2
      )
      self.assertEqual(
          [[2] if drop_remainder else [None]],
          _flat_shapes(rebatched_dataset),
      )
      if drop_remainder:
          expected_output = [[0, 1], [2, 3], [4, 5], [6, 7]]
      else:
          expected_output = [[0, 1], [2, 3], [4, 5], [6, 7], [8], [9]]
      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 8 for calling the LegacyRebatchDatasetTest obj's underlying member method code with example usage: obj.testFinalPartialBatch(drop_remainder) without return types