code: def testReturnOp(self):
      def update_var_v1(x):
          v = variables.Variable(3, name="v")
          update_op = state_ops.assign(v, x).op
          return update_op
  
      g = wrap_function.WrappedGraph()
      signature = [tensor_spec.TensorSpec([], dtypes.int32)]
      update_var = g.wrap_function(update_var_v1, signature)
  
      self.assertEqual(g.variables["v"].numpy(), 3)
      update_var(constant_op.constant(12))
      self.assertEqual(g.variables["v"].numpy(), 12)
  
imports: import os
  from tensorflow.core.protobuf import meta_graph_pb2
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.eager import backprop
  from tensorflow.python.eager import def_function
  from tensorflow.python.eager import wrap_function
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import importer
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor_spec
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import init_ops
  from tensorflow.python.ops import state_ops
  from tensorflow.python.ops import variable_scope
  from tensorflow.python.ops import variable_v1
  from tensorflow.python.ops import variables
  from tensorflow.python.ops.ragged import ragged_factory_ops
  from tensorflow.python.ops.ragged import ragged_tensor
  from tensorflow.python.platform import test
  from tensorflow.python.training import saver
label_desc: Use image node_id 6 for calling the WrappedGraphTest obj's underlying member method code with example usage: obj.testReturnOp() and returns: update_op