code: def testPaddedBatchDatasetsError(self):
      ds = dataset_ops.Dataset.range(10).map(
          lambda x: dataset_ops.Dataset.range(1)
      )
  
      with self.assertRaisesRegex(
          TypeError,
          r"`padded_batch` is not supported for datasets of datasets",
      ):
          _ = ds.padded_batch(3)
  
imports: from absl.testing import parameterized
  import numpy
  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.ops import options
  from tensorflow.python.framework import combinations
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import string_ops
  from tensorflow.python.ops.ragged import ragged_tensor_value
  from tensorflow.python.platform import test
  from tensorflow.python.util import compat
label_desc: Use image node_id 14 for calling the PaddedBatchTest obj's underlying member method code with example usage: obj.testPaddedBatchDatasetsError() without return types