code: def testPaddedBatchShapeErrorWrongRankFromTensor(self):
      with self.assertRaisesRegex(
          ValueError,
          r"The padded shape \(1,\) is not compatible with the "
          r"shape \(\) of the corresponding input component.",
      ):
          shape_as_tensor = constant_op.constant(
              [1], dtype=dtypes.int64
          )
          _ = dataset_ops.Dataset.range(10).padded_batch(
              5, padded_shapes=shape_as_tensor
          )
  
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 19 for calling the PaddedBatchTest obj's underlying member method code with example usage: obj.testPaddedBatchShapeErrorWrongRankFromTensor() without return types