code: def testDefaultPaddedValueShapes(self):
      def fill(x):
          return array_ops.fill([x], x)
  
      dataset = dataset_ops.Dataset.zip(
          (
              dataset_ops.Dataset.from_tensor_slices([1, 2, 3, 4]).map(
                  fill
              ),
              dataset_ops.Dataset.from_tensor_slices([1, 2, 3, 4]).map(
                  fill
              ),
          )
      )
      dataset = dataset.padded_batch(batch_size=2, padding_values=-1)
      self.assertDatasetProduces(
          dataset,
          expected_output=[
              ([[1, -1], [2, 2]], [[1, -1], [2, 2]]),
              (
                  [[3, 3, 3, -1], [4, 4, 4, 4]],
                  [[3, 3, 3, -1], [4, 4, 4, 4]],
              ),
          ],
      )
  
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 23 for calling the PaddedBatchTest obj's underlying member method code with example usage: obj.testDefaultPaddedValueShapes() and returns: array_ops