[pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

tests/plugins/test_ddp_plugin.py

@@ -73,7 +73,7 @@ def test_ddp_barrier_non_consecutive_device_ids(barrier_mock, tmpdir):
 
 @RunIf(min_gpus=1)
 def test_ddp_plugin_teardown():
-    """test DDPPlugin has been called and teardown training_type_plugin correctly """
+    """test DDPPlugin has been called and teardown training_type_plugin correctly"""
     model = BoringModel()
     ddp_plugin = DDPPlugin()
     trainer = Trainer(

tests/plugins/test_ddp_spawn_plugin.py

@@ -12,10 +12,9 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 import torch
-
 from torch.nn.parallel.distributed import DistributedDataParallel
 
-from pytorch_lightning import Trainer, LightningModule
+from pytorch_lightning import LightningModule, Trainer
 from pytorch_lightning.plugins import DDPSpawnPlugin
 from tests.helpers.boring_model import BoringDataModule, BoringModel
 from tests.helpers.runif import RunIf
@@ -80,9 +79,10 @@ def test_ddp_spawn_extra_parameters(tmpdir):
     assert trainer.callback_metrics[val_name] == torch.tensor(val)
     assert model.test_val == "test_val"
 
+
 @RunIf(min_gpus=1)
 def test_ddp_spawn_plugin_teardown():
-    """test DDPPlugin has been called and teardown training_type_plugin correctly """
+    """test DDPPlugin has been called and teardown training_type_plugin correctly"""
     model = BoringModel()
     ddp_plugin = DDPSpawnPlugin()
     trainer = Trainer(