code: def testDispatcherRestartDuringDistributedEpoch(self):
      cluster = data_service_test_base.TestCluster(num_workers=1)
      num_elements = 100
      ds = self.make_distributed_range_dataset(
          num_elements,
          cluster,
          processing_mode=data_service_ops.ShardingPolicy.DYNAMIC,
      )
      iterator = iter(ds)
      results = []
      for _ in range(num_elements // 2):
          results.append(next(iterator).numpy())
      cluster.restart_dispatcher()
      for elem in iterator:
          results.append(elem.numpy())
  
      self.assertEqual(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 4 for calling the FaultToleranceTest obj's underlying member method code with example usage: obj.testDispatcherRestartDuringDistributedEpoch() without return types