make style (#11442)

tests/deepspeed/test_deepspeed.py

@@ -122,7 +122,7 @@ class TrainerIntegrationDeepSpeed(TestCasePlus, TrainerIntegrationCommon):
         transformers.integrations._is_deepspeed_zero3_enabled = None
 
     def get_config_dict(self, stage):
-        """ As the tests modify the dict, always make a copy """
+        """As the tests modify the dict, always make a copy"""
         config = deepcopy(self.ds_config_dict[stage])
         if stage == ZERO3:
             # This setting slows things down, so don't enable it by default unless needed by a test.
@@ -430,7 +430,7 @@ class TrainerIntegrationDeepSpeed(TestCasePlus, TrainerIntegrationCommon):
 @require_deepspeed
 @require_torch_gpu
 class TestDeepSpeedWithLauncher(TestCasePlus):
-    """ This class is for testing via an external script - can do multiple gpus """
+    """This class is for testing via an external script - can do multiple gpus"""
 
     # Tests to devise #
     #

tests/test_modeling_common.py

@@ -1122,7 +1122,7 @@ class ModelTesterMixin:
 
         # a candidate for testing_utils
         def get_current_gpu_memory_use():
-            """ returns a list of cuda memory allocations per GPU in MBs"""
+            """returns a list of cuda memory allocations per GPU in MBs"""
 
             per_device_memory = []
             for id in range(torch.cuda.device_count()):

tests/test_modeling_funnel.py

@@ -42,7 +42,7 @@ if is_torch_available():
 
 
 class FunnelModelTester:
-    """You can also import this e.g, from .test_modeling_funnel import FunnelModelTester """
+    """You can also import this e.g, from .test_modeling_funnel import FunnelModelTester"""
 
     def __init__(
         self,

tests/test_modeling_layoutlm.py

@@ -36,7 +36,7 @@ if is_torch_available():
 
 
 class LayoutLMModelTester:
-    """You can also import this e.g from .test_modeling_layoutlm import LayoutLMModelTester """
+    """You can also import this e.g from .test_modeling_layoutlm import LayoutLMModelTester"""
 
     def __init__(
         self,

tests/test_modeling_lxmert.py

@@ -40,7 +40,7 @@ if is_torch_available():
 
 
 class LxmertModelTester:
-    """You can also import this e.g from .test_modeling_bart import BartModelTester """
+    """You can also import this e.g from .test_modeling_bart import BartModelTester"""
 
     def __init__(
         self,

tests/test_modeling_tapas.py

@@ -63,7 +63,7 @@ if is_torch_available():
 
 
 class TapasModelTester:
-    """You can also import this e.g from .test_modeling_tapas import TapasModelTester """
+    """You can also import this e.g from .test_modeling_tapas import TapasModelTester"""
 
     def __init__(
         self,

tests/test_modeling_tf_funnel.py

@@ -39,7 +39,7 @@ if is_tf_available():
 
 
 class TFFunnelModelTester:
-    """You can also import this e.g, from .test_modeling_funnel import FunnelModelTester """
+    """You can also import this e.g, from .test_modeling_funnel import FunnelModelTester"""
 
     def __init__(
         self,

tests/test_tokenization_common.py

@@ -58,7 +58,7 @@ NON_ENGLISH_TAGS = ["chinese", "dutch", "french", "finnish", "german", "multilin
 
 
 def filter_non_english(_, pretrained_name: str):
-    """ Filter all the model for non-english language """
+    """Filter all the model for non-english language"""
     return not any([lang in pretrained_name for lang in NON_ENGLISH_TAGS])
 
 

tests/test_tokenization_fsmt.py

@@ -100,7 +100,7 @@ class FSMTTokenizationTest(TokenizerTesterMixin, unittest.TestCase):
         self.assertEqual(tokenizer.tgt_vocab_size, 21)
 
     def test_full_tokenizer(self):
-        """ Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt """
+        """Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt"""
         tokenizer = FSMTTokenizer(self.langs, self.src_vocab_file, self.tgt_vocab_file, self.merges_file)
 
         text = "lower"

tests/test_tokenization_layoutlm.py

@@ -70,5 +70,5 @@ class LayoutLMTokenizationTest(TokenizerTesterMixin, unittest.TestCase):
         self.assertListEqual(tokenizer.convert_tokens_to_ids(tokens), [7, 4, 5, 10, 8, 9])
 
     def test_special_tokens_as_you_expect(self):
-        """If you are training a seq2seq model that expects a decoder_prefix token make sure it is prepended to decoder_input_ids """
+        """If you are training a seq2seq model that expects a decoder_prefix token make sure it is prepended to decoder_input_ids"""
         pass

tests/test_tokenization_xlm.py

@@ -72,7 +72,7 @@ class XLMTokenizationTest(TokenizerTesterMixin, unittest.TestCase):
         return input_text, output_text
 
     def test_full_tokenizer(self):
-        """ Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt """
+        """Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt"""
         tokenizer = XLMTokenizer(self.vocab_file, self.merges_file)
 
         text = "lower"