code: def test_queue_resource(self):
      elements = np.random.randint(100, size=[200])
      queue = data_flow_ops.FIFOQueue(200, dtypes.int64, shapes=[])
  
      @eager_def_function.function()
      def populate_queue():
          queue.enqueue_many(elements)
          queue.close()
  
      port = portpicker.pick_unused_port()
      address = "localhost:{}".format(port)
      server = rpc_ops.GrpcServer(address)
      server.register("populate_queue", populate_queue)
      server.start()
  
      client = rpc_ops.GrpcClient(address, list_registered_methods=True)
      client.populate_queue()
  
      for e in elements:
          self.assertAllEqual(e, queue.dequeue())
  
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 19 for calling the RpcOpsTest obj's underlying member method code with example usage: obj.test_queue_resource() without return types