code: def test(self, verify_fn):
      num_repeat = 5
      batch_size = 2
      num_outputs = (
          self._num_records * self._num_files * num_repeat // batch_size
      )
      # pylint: disable=g-long-lambda
      verify_fn(
          self,
          lambda: self._parse_example_dataset(
              num_repeat=num_repeat, batch_size=batch_size
          ),
          num_outputs,
      )
  
imports: import copy
  from absl.testing import parameterized
  import numpy
  from tensorflow.core.example import example_pb2
  from tensorflow.core.example import feature_pb2
  from tensorflow.python.data.experimental.ops import parsing_ops
  from tensorflow.python.data.kernel_tests import checkpoint_test_base
  from tensorflow.python.data.kernel_tests import test_base
  from tensorflow.python.data.kernel_tests import tf_record_test_base
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.data.ops import options
  from tensorflow.python.eager import context
  from tensorflow.python.framework import combinations
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors_impl
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.framework import tensor
  from tensorflow.python.ops import parsing_ops
  from tensorflow.python.ops.ragged import ragged_factory_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 2 for calling the ParseExampleDatasetCheckpointTest obj's underlying member method code with example usage: obj.test(verify_fn) without return types