code: def testDispatcherAndMultiWorkerRestart(self):
      num_workers = 2
      cluster = data_service_test_base.TestCluster(
          num_workers=num_workers
      )
      num_elements = 100
      ds = self.make_distributed_range_dataset(num_elements, cluster)
      iterator = iter(ds)
      results = []
  
      cluster.restart_dispatcher()
      for worker_index in range(num_workers):
          cluster.workers[worker_index].restart()
      for elem in iterator:
          results.append(elem.numpy())
      self.assertCountEqual(
          num_workers * list(range(num_elements)), results
      )
      cluster.restart_dispatcher()
      for worker_index in range(num_workers):
          cluster.workers[worker_index].restart()
      for elem in iterator:
          results.append(elem.numpy())
      self.assertCountEqual(
          num_workers * list(range(num_elements)), results
      )
  
imports: import multiprocessing
  import threading
  import time
  from absl.testing import parameterized
  from tensorflow.python.data.experimental.kernel_tests.service import test_base
  from tensorflow.python.data.experimental.ops import data_service_ops
  from tensorflow.python.data.kernel_tests import test_base
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.framework import combinations
  from tensorflow.python.framework import dtypes
  from tensorflow.python.ops import array_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 10 for calling the FaultToleranceTest obj's underlying member method code with example usage: obj.testDispatcherAndMultiWorkerRestart() without return types