code: def testDispatcherStop(self):
      cluster = data_service_test_base.TestCluster(num_workers=1)
      num_elements = 100
      ds = self.make_distributed_range_dataset(num_elements, cluster)
      iterator = iter(ds)
      results = []
      results.append(next(iterator).numpy())
      cluster.stop_dispatcher()
      # After the dispatcher dies, the worker should continue providing the rest
      # of the dataset's elements.
      for _ in range(num_elements - 1):
          results.append(next(iterator).numpy())
      self.assertEqual(results, list(range(num_elements)))
  
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 1 for calling the FaultToleranceTest obj's underlying member method code with example usage: obj.testDispatcherStop() without return types