code: def _restore_op(self, iterator_resource):
      iterator_state_variant = parsing_ops.parse_tensor(
          io_ops.read_file(self._iterator_checkpoint_prefix()),
          dtypes.variant,
      )
      restore_op = gen_dataset_ops.deserialize_iterator(
          iterator_resource, iterator_state_variant
      )
      return restore_op
  
imports: import os
  from absl.testing import parameterized
  from tensorflow.python.checkpoint import checkpoint
  from tensorflow.python.checkpoint import checkpoint_management
  from tensorflow.python.checkpoint import checkpoint_options
  from tensorflow.python.data.experimental.ops import grouping
  from tensorflow.python.data.experimental.ops import interleave_ops
  from tensorflow.python.data.experimental.ops import scan_ops
  from tensorflow.python.data.experimental.ops import take_while_ops
  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.eager import test
  from tensorflow.python.framework import combinations
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import ops
  from tensorflow.python.ops import gen_dataset_ops
  from tensorflow.python.ops import io_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import parsing_ops
  from tensorflow.python.ops import random_ops
  from tensorflow.python.ops import script_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import gfile
label_desc: Use image node_id 4 for calling the CheckpointTest obj's underlying member method code with example usage: obj._restore_op(iterator_resource) and returns: restore_op