code: def test_output_specs(self):
      @eager_def_function.function(
          input_signature=[tensor_spec.TensorSpec([], dtypes.int32)]
      )
      def test_dict(val):
          return {"key": val}
  
      @eager_def_function.function(
          input_signature=[tensor_spec.TensorSpec([], dtypes.int32)]
      )
      def is_positive(a):
          if a > 0:
              return True
          return False
  
      @eager_def_function.function(input_signature=[])
      def do_nothing():
          return []
  
      @eager_def_function.function(
          input_signature=[tensor_spec.TensorSpec([], dtypes.int32)]
      )
      def test_nested_structure(v):
          return {"test": (v, [v, v]), "test1": (v,)}
  
      port = portpicker.pick_unused_port()
      address = "localhost:{}".format(port)
      server_resource = rpc_ops.GrpcServer(address)
  
      server_resource.register("test_dict", test_dict)
      server_resource.register("is_positive", is_positive)
      server_resource.register(
          "test_nested_structure", test_nested_structure
      )
      server_resource.register("do_nothing", do_nothing)
  
      server_resource.start()
  
      client = rpc_ops.GrpcClient(
          address=address,
          name="test_client",
          list_registered_methods=True,
      )
  
      a = variables.Variable(2, dtype=dtypes.int32)
  
      result_or = client.test_dict(a)
      self.assertAllEqual(result_or.is_ok(), True)
      nest.map_structure(
          self.assertAllEqual, result_or.get_value(), {"key": 2}
      )
  
      result_or = client.is_positive(a)
      self.assertTrue(result_or.is_ok())
      self.assertTrue(result_or.get_value())
  
      result_or = client.test_nested_structure(a)
      self.assertAllEqual(result_or.is_ok(), True)
      nest.map_structure(
          self.assertAllEqual,
          result_or.get_value(),
          {"test": (2, [2, 2]), "test1": (2,)},
      )
  
      result_or = client.do_nothing()
      self.assertAllEqual(result_or.is_ok(), True)
      self.assertAllEqual(result_or.get_value(), [])
  
imports: import threading
  import time
  import numpy
  import portpicker
  from tensorflow.python.distribute.experimental.rpc import rpc_ops
  from tensorflow.python.eager import context
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import config
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  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 data_flow_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import resource_variable_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import test
  from tensorflow.python.util import nest
label_desc: Use image node_id 7 for calling the RpcOpsTest obj's underlying member method code with example usage: obj.test_output_specs() and returns: dict, False, list, dict, True