Update quality tooling for formatting (#21480)

* Result of black 23.1

* Update target to Python 3.7

* Switch flake8 to ruff

* Configure isort

* Configure isort

* Apply isort with line limit

* Put the right black version

* adapt black in check copies

* Fix copies

tests/models/bert/test_modeling_bert.py

@@ -427,7 +427,6 @@ class BertModelTester:
 
 @require_torch
 class BertModelTest(ModelTesterMixin, GenerationTesterMixin, unittest.TestCase):
-
     all_model_classes = (
         (
             BertModel,
@@ -565,7 +564,6 @@ class BertModelTest(ModelTesterMixin, GenerationTesterMixin, unittest.TestCase):
     def test_torchscript_device_change(self):
         config, inputs_dict = self.model_tester.prepare_config_and_inputs_for_common()
         for model_class in self.all_model_classes:
-
             # BertForMultipleChoice behaves incorrectly in JIT environments.
             if model_class == BertForMultipleChoice:
                 return

tests/models/bert/test_modeling_flax_bert.py

@@ -133,7 +133,6 @@ class FlaxBertModelTester(unittest.TestCase):
 
 @require_flax
 class FlaxBertModelTest(FlaxModelTesterMixin, unittest.TestCase):
-
     test_head_masking = True
 
     all_model_classes = (

tests/models/bert/test_modeling_tf_bert.py

@@ -591,7 +591,6 @@ class TFBertModelTester:
 
 @require_tf
 class TFBertModelTest(TFModelTesterMixin, TFCoreModelTesterMixin, unittest.TestCase):
-
     all_model_classes = (
         (
             TFBertModel,

tests/models/bert/test_tokenization_bert.py

@@ -34,7 +34,6 @@ from ...test_tokenization_common import TokenizerTesterMixin, filter_non_english
 
 @require_tokenizers
 class BertTokenizationTest(TokenizerTesterMixin, unittest.TestCase):
-
     tokenizer_class = BertTokenizer
     rust_tokenizer_class = BertTokenizerFast
     test_rust_tokenizer = True
@@ -305,7 +304,6 @@ class BertTokenizationTest(TokenizerTesterMixin, unittest.TestCase):
         text_with_chinese_char = "".join(list_of_commun_chinese_char)
         for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
             with self.subTest(f"{tokenizer.__class__.__name__} ({pretrained_name})"):
-
                 kwargs["tokenize_chinese_chars"] = True
                 tokenizer_p = self.tokenizer_class.from_pretrained(pretrained_name, **kwargs)
                 tokenizer_r = self.rust_tokenizer_class.from_pretrained(pretrained_name, **kwargs)