code: def testDispatcherRestartDuringDistributedEpochRepeat(self):
      cluster = data_service_test_base.TestCluster(num_workers=1)
      num_elements = 100
      repetitions = 5
      breakpoints = [50, 250, 450, 500]
      ds = dataset_ops.Dataset.range(num_elements)
      ds = ds.repeat(repetitions)
      ds = self.make_distributed_dataset(
          ds,
          cluster,
          processing_mode=data_service_ops.ShardingPolicy.DYNAMIC,
      )
  
      iterator = iter(ds)
      results = []
      for breakpoint_ in breakpoints:
          for _ in range(len(results), breakpoint_):
              results.append(next(iterator).numpy())
          cluster.restart_dispatcher()
  
      self.assertCountEqual(
          repetitions * 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 5 for calling the FaultToleranceTest obj's underlying member method code with example usage: obj.testDispatcherRestartDuringDistributedEpochRepeat() without return types