code: def testSimpleMetrics(self):
      # Add a sleep to increase tracing time
      @def_function.function
      def func():
          time.sleep(0.5)
          return 3
  
      self.assertEqual(
          metric_utils.get_metric_summary("queued_closures"), 0
      )
      self.assertEqual(
          metric_utils.get_metric_summary("inflight_closures"), 0
      )
  
      self.coordinator.schedule(func, args=None, kwargs=None)
      result = self.coordinator.schedule(func, args=None, kwargs=None)
      self.coordinator.join()
  
      self.assertEqual(
          metric_utils.get_metric_summary("queued_closures"), 0
      )
      self.assertEqual(
          metric_utils.get_metric_summary("inflight_closures"), 0
      )
      # Tracing, closure execution, and remote_value fetching should be executed
      # exactly once for running this function.
      metric_tracing = metric_utils.get_metric_summary(
          "function_tracing"
      )
      self.assertEqual(metric_tracing["num"], 1)
      # Tracing time should be longer than the sleep time in Python function.
      self.assertGreater(metric_tracing["sum"], 0.5)
      metric_closure = metric_utils.get_metric_summary(
          "closure_execution"
      )
      self.assertEqual(metric_closure["num"], 2)
      metric_remote_value = metric_utils.get_metric_summary(
          "remote_value_fetch"
      )
      self.assertEqual(metric_remote_value["num"], 2)
  
      self.assertEqual(result.fetch(), 3)
  
imports: import time
  from tensorflow.python.distribute import multi_process_runner
  from tensorflow.python.distribute import multi_worker_test_base
  from tensorflow.python.distribute import parameter_server_strategy_v2
  from tensorflow.python.distribute.cluster_resolver import cluster_resolver
  from tensorflow.python.distribute.coordinator import cluster_coordinator
  from tensorflow.python.distribute.coordinator import metric_utils
  from tensorflow.python.eager import context
  from tensorflow.python.eager import def_function
  from tensorflow.python.eager import test
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import random_ops
  from tensorflow.python.training import coordinator
  from tensorflow.python.training.server_lib import ClusterSpec
label_desc: Use image node_id 5 for calling the MetricUtilsTest obj's underlying member method code with example usage: obj.testSimpleMetrics() and returns: int