code: def testRepeatedDataset(self, num_workers, num_repetitions):
      cluster = data_service_test_base.TestCluster(
          num_workers=num_workers
      )
      dataset = dataset_ops.Dataset.range(1000)
      dataset = dataset.repeat(num_repetitions)
      self.evaluate(
          distributed_save_op.distributed_save(
              dataset,
              self._test_dir,
              cluster.dispatcher_address(),
          )
      )
      _wait_for_snapshot(self._test_dir)
  
      dataset = dataset_ops.Dataset.load(self._test_dir)
      self.assertDatasetProduces(
          dataset,
          list(range(1000)) * num_repetitions,
          assert_items_equal=True,
      )
  
imports: import os
  import shutil
  import tempfile
  import time
  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.experimental.ops import distributed_save_op
  from tensorflow.python.data.experimental.service import _pywrap_snapshot_utils
  from tensorflow.python.data.kernel_tests import checkpoint_test_base
  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
  from tensorflow.python.ops import array_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 3 for calling the DistributedSaveTest obj's underlying member method code with example usage: obj.testRepeatedDataset(num_workers, num_repetitions) without return types