Fix E231 flake8 warning (x9).

transformers/hf_api.py

@@ -130,7 +130,7 @@ class HfApi:
             pf = TqdmProgressFileReader(f)
             data = f if pf.total_size > 0 else ""
 
-            r = requests.put(urls.write, data=data, headers={"content-type": urls.type,})
+            r = requests.put(urls.write, data=data, headers={"content-type": urls.type})
             r.raise_for_status()
             pf.close()
         return urls.access

transformers/optimization_tf.py

@@ -158,9 +158,7 @@ class AdamWeightDecay(tf.keras.optimizers.Adam):
 
     def get_config(self):
         config = super(AdamWeightDecay, self).get_config()
-        config.update(
-            {"weight_decay_rate": self.weight_decay_rate,}
-        )
+        config.update({"weight_decay_rate": self.weight_decay_rate})
         return config
 
     def _do_use_weight_decay(self, param_name):

transformers/pipelines.py

@@ -836,7 +836,7 @@ SUPPORTED_TASKS = {
         "tf": TFAutoModel if is_tf_available() else None,
         "pt": AutoModel if is_torch_available() else None,
         "default": {
-            "model": {"pt": "distilbert-base-uncased", "tf": "distilbert-base-uncased",},
+            "model": {"pt": "distilbert-base-uncased", "tf": "distilbert-base-uncased"},
             "config": None,
             "tokenizer": "distilbert-base-uncased",
         },

transformers/tests/model_card_test.py

@@ -34,14 +34,14 @@ class ModelCardTester(unittest.TestCase):
             },
             "metrics": "BLEU and ROUGE-1",
             "evaluation_data": {
-                "Datasets": {"BLEU": "My-great-dataset-v1", "ROUGE-1": "My-short-dataset-v2.1",},
+                "Datasets": {"BLEU": "My-great-dataset-v1", "ROUGE-1": "My-short-dataset-v2.1"},
                 "Preprocessing": "See details on https://arxiv.org/pdf/1810.03993.pdf",
             },
             "training_data": {
                 "Dataset": "English Wikipedia dump dated 2018-12-01",
                 "Preprocessing": "Using SentencePiece vocabulary of size 52k tokens. See details on https://arxiv.org/pdf/1810.03993.pdf",
             },
-            "quantitative_analyses": {"BLEU": 55.1, "ROUGE-1": 76,},
+            "quantitative_analyses": {"BLEU": 55.1, "ROUGE-1": 76},
         }
 
     def test_model_card_common_properties(self):

transformers/tokenization_ctrl.py

@@ -33,8 +33,8 @@ VOCAB_FILES_NAMES = {
 }
 
 PRETRAINED_VOCAB_FILES_MAP = {
-    "vocab_file": {"ctrl": "https://raw.githubusercontent.com/salesforce/ctrl/master/ctrl-vocab.json",},
-    "merges_file": {"ctrl": "https://raw.githubusercontent.com/salesforce/ctrl/master/ctrl-merges.txt",},
+    "vocab_file": {"ctrl": "https://raw.githubusercontent.com/salesforce/ctrl/master/ctrl-vocab.json"},
+    "merges_file": {"ctrl": "https://raw.githubusercontent.com/salesforce/ctrl/master/ctrl-merges.txt"},
 }
 
 PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES = {

transformers/tokenization_openai.py

@@ -33,8 +33,8 @@ VOCAB_FILES_NAMES = {
 }
 
 PRETRAINED_VOCAB_FILES_MAP = {
-    "vocab_file": {"openai-gpt": "https://s3.amazonaws.com/models.huggingface.co/bert/openai-gpt-vocab.json",},
-    "merges_file": {"openai-gpt": "https://s3.amazonaws.com/models.huggingface.co/bert/openai-gpt-merges.txt",},
+    "vocab_file": {"openai-gpt": "https://s3.amazonaws.com/models.huggingface.co/bert/openai-gpt-vocab.json"},
+    "merges_file": {"openai-gpt": "https://s3.amazonaws.com/models.huggingface.co/bert/openai-gpt-merges.txt"},
 }
 
 PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES = {