code: def testWriteMultipleDatasets(self, num_workers):
      cluster = data_service_test_base.TestCluster(
          num_workers=num_workers
      )
      snapshot_dir = data_service_test_base.TempDir()
      dataset1 = dataset_ops.Dataset.range(100)
      datasets = [
          dataset_ops.Dataset.from_tensors("a").repeat(5),
          dataset_ops.Dataset.from_tensors("b").repeat(5),
          dataset_ops.Dataset.from_tensors("c").repeat(5),
      ]
      choice_dataset = dataset_ops.Dataset.range(3).repeat()
      dataset2 = dataset_ops.Dataset.choose_from_datasets(
          datasets, choice_dataset
      )
  
      snapshot_path1 = os.path.join(snapshot_dir.full_path, "snapshot1")
      snapshot_path2 = os.path.join(snapshot_dir.full_path, "snapshot2")
      self.evaluate(
          distributed_save_op.distributed_save(
              dataset1, snapshot_path1, cluster.dispatcher_address()
          )
      )
      self.evaluate(
          distributed_save_op.distributed_save(
              dataset2, snapshot_path2, cluster.dispatcher_address()
          )
      )
      _wait_for_snapshot(snapshot_path1)
      _wait_for_snapshot(snapshot_path2)
  
      ignore_order = num_workers > 1
      dataset1 = dataset_ops.Dataset.load(snapshot_path1)
      self.assertDatasetProduces(
          dataset1, list(range(100)), assert_items_equal=ignore_order
      )
      self.assertDatasetProduces(
          dataset2,
          [b"a", b"b", b"c"] * 5,
          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 6 for calling the DistributedSaveTest obj's underlying member method code with example usage: obj.testWriteMultipleDatasets(num_workers) without return types