code: def testScalarInputError(self):
      dataset = dataset_ops.Dataset.range(1024)
      distribute._LegacyRebatchDataset(dataset.batch(4), num_replicas=4)
      with self.assertRaises(ValueError):
          distribute._LegacyRebatchDataset(dataset, num_replicas=4)
  
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 4 for calling the LegacyRebatchDatasetTest obj's underlying member method code with example usage: obj.testScalarInputError() without return types