code: def testSaveLoad(self, num_workers, num_elements):
      cluster = data_service_test_base.TestCluster(
          num_workers=num_workers
      )
      snapshot_dir = data_service_test_base.TempDir()
      dataset = dataset_ops.Dataset.range(num_elements)
      self.evaluate(
          distributed_save_op.distributed_save(
              dataset,
              snapshot_dir.full_path,
              cluster.dispatcher_address(),
          )
      )
      _wait_for_snapshot(snapshot_dir.full_path)
  
      dataset = dataset_ops.Dataset.load(snapshot_dir.full_path)
      multiple_workers = num_workers > 1
      multiple_chunks = num_elements > 10
      ignore_order = multiple_workers or multiple_chunks
      self.assertDatasetProduces(
          dataset,
          list(range(num_elements)),
          assert_items_equal=ignore_order,
      )
  
imports: import os
  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 1 for calling the DistributedSaveTest obj's underlying member method code with example usage: obj.testSaveLoad(num_workers, num_elements) without return types