make style (#11442)

examples/legacy/question-answering/run_squad.py

@@ -74,7 +74,7 @@ def to_list(tensor):
 
 
 def train(args, train_dataset, model, tokenizer):
-    """ Train the model """
+    """Train the model"""
     if args.local_rank in [-1, 0]:
         tb_writer = SummaryWriter()
 

examples/legacy/run_openai_gpt.py

@@ -61,7 +61,7 @@ def accuracy(out, labels):
 
 
 def load_rocstories_dataset(dataset_path):
-    """ Output a list of tuples(story, 1st continuation, 2nd continuation, label) """
+    """Output a list of tuples(story, 1st continuation, 2nd continuation, label)"""
     with open(dataset_path, encoding="utf_8") as f:
         f = csv.reader(f)
         output = []
@@ -184,7 +184,7 @@ def main():
 
     # Load and encode the datasets
     def tokenize_and_encode(obj):
-        """ Tokenize and encode a nested object """
+        """Tokenize and encode a nested object"""
         if isinstance(obj, str):
             return tokenizer.convert_tokens_to_ids(tokenizer.tokenize(obj))
         elif isinstance(obj, int):

examples/legacy/run_swag.py

@@ -276,7 +276,7 @@ def load_and_cache_examples(args, tokenizer, evaluate=False, output_examples=Fal
 
 
 def train(args, train_dataset, model, tokenizer):
-    """ Train the model """
+    """Train the model"""
     if args.local_rank in [-1, 0]:
         tb_writer = SummaryWriter()
 

examples/legacy/seq2seq/minify_dataset.py

@@ -19,7 +19,7 @@ import fire
 
 
 def minify(src_dir: str, dest_dir: str, n: int):
-    """Write first n lines of each file f in src_dir to dest_dir/f """
+    """Write first n lines of each file f in src_dir to dest_dir/f"""
     src_dir = Path(src_dir)
     dest_dir = Path(dest_dir)
     dest_dir.mkdir(exist_ok=True)