code: def testPaddedBatchSparseError(self):
      st = sparse_tensor.SparseTensorValue(
          indices=[[0, 0]], values=([42]), dense_shape=[1, 1]
      )
  
      with self.assertRaisesRegex(
          TypeError,
          r"`padded_batch` is only supported for "
          r"datasets that produce tensor elements but type spec of elements in "
          r"the input dataset is not a subclass of TensorSpec: "
          r"`SparseTensorSpec.*`\.$",
      ):
          _ = (
              dataset_ops.Dataset.from_tensors(st)
              .repeat(10)
              .padded_batch(10)
          )
  
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 12 for calling the PaddedBatchTest obj's underlying member method code with example usage: obj.testPaddedBatchSparseError() without return types