code: def testRemoveMoreWorkersThanMaxOutstandingRequests(self):
      num_workers = 5
      cluster = data_service_test_base.TestCluster(num_workers)
      num_elements = 2**55  # Effectively infinite
      ds = self.make_distributed_range_dataset(
          num_elements, cluster, max_outstanding_requests=1
      )
      iterator = iter(ds)
      zeros_seen = 0
      # Read until we've read from all workers. Each worker produces a zero first.
      while zeros_seen < num_workers:
          if next(iterator).numpy() == 0:
              zeros_seen += 1
  
      for i in range(num_workers - 1):
          cluster.stop_worker(i)
  
      # Read additional elements to make sure that stopping 4/5 workers doesn't
      # result in a hang.
      for _ in range(10):
          next(iterator).numpy()
  
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 13 for calling the FaultToleranceTest obj's underlying member method code with example usage: obj.testRemoveMoreWorkersThanMaxOutstandingRequests() without return types