code: def testWorkerExecutionAfterPsFailureRaisesExpectedError(self):
      model = self._create_model_and_run_indefinitely()
      for i in range(self.num_ps):
          self._cluster.kill_task("ps", i)
      while self.cluster_coord._cluster.closure_queue._error is None:
          time.sleep(1)
  
      @def_function.function
      def trivial_function():
          return model.iterations + 1
  
      for i in range(self.num_workers):
          try:
              with ops.device(
                  "/job:worker/replica:0/task:{}".format(i)
              ):
                  trivial_function()
          except Exception as e:  # pylint: disable=broad-except
              if cluster_coordinator._is_ps_failure(
                  e
              ):  # pylint: disable=protected-access
                  if i < self.num_workers - 1:
                      continue
                  return
          raise AssertionError(
              "Executing a function after PS fails, should "
              "result in a PS failure."
          )
  
imports: import gc
  import os
  import sys
  import threading
  import time
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.distribute import multi_worker_test_base
  from tensorflow.python.distribute import parameter_server_strategy_v2
  from tensorflow.python.distribute import test_util
  from tensorflow.python.distribute.cluster_resolver.cluster_resolver import SimpleClusterResolver
  from tensorflow.python.distribute.coordinator import cluster_coordinator
  from tensorflow.python.eager import context
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import check_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import random_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import tf_logging
  from tensorflow.python.training import coordinator
  from tensorflow.python.training import server_lib
label_desc: Use image node_id 26 for calling the BaseFaultToleranceTest obj's underlying member method code with example usage: obj.testWorkerExecutionAfterPsFailureRaisesExpectedError() and returns: unknown