class_docstr: Tests garbage collecting unused local worker tasks.
  
  The user typically creates an iterator in each epoch. This should delete the
  previous iterator and releases the resources of it.
class_docstr_tok: ["Tests","garbage","collecting","unused","local","worker","tasks",".","The","user","typically","creates","an","iterator","in","each","epoch",".","This","should","delete","the","previous","iterator","and","releases","the","resources","of","it","."]
code: def testRepeatDistributedDataset(self, num_remote_workers, job_name):
      num_local_workers = 1
      cluster = multi_process_cluster.MultiProcessCluster(
          num_local_workers=num_local_workers,
          num_remote_workers=num_remote_workers,
      )
      dataset = self.make_distributed_range_dataset(
          10, cluster, job_name=job_name, target_workers="LOCAL"
      )
      dataset = dataset.repeat(3)
      self.assertDatasetProduces(dataset, list(range(10)) * 3)
  
imports: import multiprocessing
  from absl.testing import parameterized
  from tensorflow.python.data.experimental.kernel_tests.service import multi_process_cluster
  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 errors
label_desc: Use image node_id 3 for calling the LocalTaskGarbageCollectTest obj's underlying member method code with example usage: obj.testRepeatDistributedDataset(num_remote_workers, job_name) without return types