message: simplify the test name
diff: @@ -648,6 +648,20 @@ class DataServiceOpsTest(data_service_test_base.TestBase,
  id_2 = data_service_ops.register_dataset(cluster.target, ds_2)
  self.assertNotEqual(id_1.numpy(), id_2.numpy())
  + def testDistributedEpochOnZippedDataset(self):
  + ds_1 = dataset_ops.Dataset.range(10)
  + ds_2 = dataset_ops.Dataset.range(10)
  + cluster = self.create_cluster(num_workers=1)
  +
  + ds_3 = dataset_ops.Dataset.zip((ds_1, ds_2))
  + ds_3 = self.make_distributed_dataset(
  + ds_3, cluster, processing_mode="distributed_epoch")
  +
  + error_regex = "Cannot create a split provider for dataset " + \
  + "of type ZipDataset"
  + with self.assertRaisesRegex(errors.UnimplementedError, error_regex):
  + self.getDatasetOutput(ds_3)
  +
  @combinations.generate(test_base.eager_only_combinations())
  def testDistributedEpochOnDistributedDataset(self):
  cluster_1 = self.create_cluster(num_workers=1)
  @@ -667,28 +681,6 @@ class DataServiceOpsTest(data_service_test_base.TestBase,
  with self.assertRaisesRegex(errors.UnimplementedError, error_regex):
  self.getDatasetOutput(ds)
  - def testDistributedEpochOnZippedDistributedDatasets(self):
  - cluster_1 = self.create_cluster(num_workers=1)
  - cluster_2 = self.create_cluster(num_workers=1)
  - cluster_3 = self.create_cluster(num_workers=1)
  - num_sizes = 10
  - size_repeats = 5
  - numbers = [1 * i for i in range(num_sizes)] * size_repeats
  - ds1 = dataset_ops.Dataset.from_tensor_slices(numbers)
  - ds1 = self.make_distributed_dataset(ds1, cluster_1)
  -
  - ds2 = dataset_ops.Dataset.from_tensor_slices(numbers)
  - ds2 = self.make_distributed_dataset(ds2, cluster_2)
  -
  - ds3 = dataset_ops.Dataset.zip((ds1, ds2))
  - ds3 = self.make_distributed_dataset(
  - ds3, cluster_3, processing_mode="distributed_epoch")
  -
  - error_regex = "Cannot create a split provider for dataset " + \
  - "of type ZipDataset"
  - with self.assertRaisesRegex(errors.UnimplementedError, error_regex):
  - self.getDatasetOutput(ds3)
  -
  @combinations.generate(test_base.eager_only_combinations())
  def testTwoLevelDistribute(self):
  cluster_1_size = 3
  