💄 super

tests/test_tokenization_albert.py

@@ -30,7 +30,7 @@ class AlbertTokenizationTest(TokenizerTesterMixin, unittest.TestCase):
     tokenizer_class = AlbertTokenizer
 
     def setUp(self):
-        super(AlbertTokenizationTest, self).setUp()
+        super().setUp()
 
         # We have a SentencePiece fixture for testing
         tokenizer = AlbertTokenizer(SAMPLE_VOCAB)

tests/test_tokenization_bert.py

@@ -38,7 +38,7 @@ class BertTokenizationTest(TokenizerTesterMixin, unittest.TestCase):
     test_rust_tokenizer = True
 
     def setUp(self):
-        super(BertTokenizationTest, self).setUp()
+        super().setUp()
 
         vocab_tokens = [
             "[UNK]",

tests/test_tokenization_bert_japanese.py

@@ -35,7 +35,7 @@ class BertJapaneseTokenizationTest(TokenizerTesterMixin, unittest.TestCase):
     tokenizer_class = BertJapaneseTokenizer
 
     def setUp(self):
-        super(BertJapaneseTokenizationTest, self).setUp()
+        super().setUp()
 
         vocab_tokens = [
             "[UNK]",
@@ -135,7 +135,7 @@ class BertJapaneseCharacterTokenizationTest(TokenizerTesterMixin, unittest.TestC
     tokenizer_class = BertJapaneseTokenizer
 
     def setUp(self):
-        super(BertJapaneseCharacterTokenizationTest, self).setUp()
+        super().setUp()
 
         vocab_tokens = ["[UNK]", "[CLS]", "[SEP]", "こ", "ん", "に", "ち", "は", "ば", "世", "界", "、", "。"]
 

tests/test_tokenization_ctrl.py

@@ -27,7 +27,7 @@ class CTRLTokenizationTest(TokenizerTesterMixin, unittest.TestCase):
     tokenizer_class = CTRLTokenizer
 
     def setUp(self):
-        super(CTRLTokenizationTest, self).setUp()
+        super().setUp()
 
         # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
         vocab = ["adapt", "re@@", "a@@", "apt", "c@@", "t", "<unk>"]

tests/test_tokenization_gpt2.py

@@ -29,7 +29,7 @@ class GPT2TokenizationTest(TokenizerTesterMixin, unittest.TestCase):
     test_rust_tokenizer = True
 
     def setUp(self):
-        super(GPT2TokenizationTest, self).setUp()
+        super().setUp()
 
         # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
         vocab = [

tests/test_tokenization_openai.py

@@ -28,7 +28,7 @@ class OpenAIGPTTokenizationTest(TokenizerTesterMixin, unittest.TestCase):
     tokenizer_class = OpenAIGPTTokenizer
 
     def setUp(self):
-        super(OpenAIGPTTokenizationTest, self).setUp()
+        super().setUp()
 
         # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
         vocab = [

tests/test_tokenization_roberta.py

@@ -28,7 +28,7 @@ class RobertaTokenizationTest(TokenizerTesterMixin, unittest.TestCase):
     tokenizer_class = RobertaTokenizer
 
     def setUp(self):
-        super(RobertaTokenizationTest, self).setUp()
+        super().setUp()
 
         # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
         vocab = [

tests/test_tokenization_t5.py

@@ -31,7 +31,7 @@ class T5TokenizationTest(TokenizerTesterMixin, unittest.TestCase):
     tokenizer_class = T5Tokenizer
 
     def setUp(self):
-        super(T5TokenizationTest, self).setUp()
+        super().setUp()
 
         # We have a SentencePiece fixture for testing
         tokenizer = T5Tokenizer(SAMPLE_VOCAB)

tests/test_tokenization_transfo_xl.py

@@ -33,7 +33,7 @@ class TransfoXLTokenizationTest(TokenizerTesterMixin, unittest.TestCase):
     tokenizer_class = TransfoXLTokenizer if is_torch_available() else None
 
     def setUp(self):
-        super(TransfoXLTokenizationTest, self).setUp()
+        super().setUp()
 
         vocab_tokens = [
             "<unk>",

tests/test_tokenization_xlm.py

@@ -29,7 +29,7 @@ class XLMTokenizationTest(TokenizerTesterMixin, unittest.TestCase):
     tokenizer_class = XLMTokenizer
 
     def setUp(self):
-        super(XLMTokenizationTest, self).setUp()
+        super().setUp()
 
         # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
         vocab = [

tests/test_tokenization_xlnet.py

@@ -31,7 +31,7 @@ class XLNetTokenizationTest(TokenizerTesterMixin, unittest.TestCase):
     tokenizer_class = XLNetTokenizer
 
     def setUp(self):
-        super(XLNetTokenizationTest, self).setUp()
+        super().setUp()
 
         # We have a SentencePiece fixture for testing
         tokenizer = XLNetTokenizer(SAMPLE_VOCAB, keep_accents=True)