code: def testForeverRepeatFewElements(self):
      num_workers = 5
      cluster = data_service_test_base.TestCluster(
          num_workers=num_workers
      )
      # Less than the number of workers, so that some workers get zero elements on
      # the first repetition.
      num_elements = 1
      ds = dataset_ops.Dataset.range(num_elements).repeat()
      ds = self._make_dynamic_sharding_dataset(ds, cluster)
      get_next = self.getNext(ds)
      for _ in range(20):
          self.assertEqual(self.evaluate(get_next()), 0)
  
      # Stop all but one worker and check that we can still read.
      for i in range(num_workers - 1):
          cluster.workers[i].stop()
      for _ in range(20):
          self.assertEqual(self.evaluate(get_next()), 0)
  
imports: import collections
  from absl.testing import parameterized
  import numpy
  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.kernel_tests import tf_record_test_base
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.data.ops import readers
  from tensorflow.python.framework import combinations
  from tensorflow.python.framework import errors
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import random_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 12 for calling the DynamicShardingTest obj's underlying member method code with example usage: obj.testForeverRepeatFewElements() without return types