code: def test(self, verify_fn, symbolic_checkpoint):
      tensor_slice_len = 8
      batch_size = 2
      num_outputs = tensor_slice_len
      options = options_lib.Options()
      options.experimental_symbolic_checkpoint = symbolic_checkpoint
      verify_fn(
          self,
          lambda: self.build_dataset(
              15.0, tensor_slice_len, batch_size, options
          ),
          num_outputs,
      )
  
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.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_factory_ops
  from tensorflow.python.platform import test
  from tensorflow.python.util import compat
label_desc: Use image node_id 2 for calling the UnbatchCheckpointTest obj's underlying member method code with example usage: obj.test(verify_fn, symbolic_checkpoint) without return types