code: def testAddFunction(self):
      def fn(x):
          v = variables.Variable(3, name="v")
          v2 = variable_scope.get_variable(
              "v",
              initializer=init_ops.Constant(4),
              shape=[],
              dtype=dtypes.int32,
          )
          return v + v2 + x
  
      with self.cached_session() as sess:
          result = fn(constant_op.constant(5))
          sess.run(variables.global_variables_initializer())
          expected = sess.run(result)
  
      g = wrap_function.WrappedGraph()
      signature = [tensor_spec.TensorSpec([], dtypes.int32)]
      wrapped_fn = g.wrap_function(fn, signature)
      self.assertEqual(
          expected, wrapped_fn(constant_op.constant(5)).numpy()
      )
  
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 1 for calling the WrappedGraphTest obj's underlying member method code with example usage: obj.testAddFunction() and returns: unknown