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/canine/test_modeling_canine.py

@@ -208,7 +208,6 @@ class CanineModelTester:
 
 @require_torch
 class CanineModelTest(ModelTesterMixin, unittest.TestCase):
-
     all_model_classes = (
         (
             CanineModel,

tests/models/canine/test_tokenization_canine.py

@@ -28,7 +28,6 @@ from ...test_tokenization_common import TokenizerTesterMixin
 
 
 class CanineTokenizationTest(TokenizerTesterMixin, unittest.TestCase):
-
     tokenizer_class = CanineTokenizer
     test_rust_tokenizer = False
 
@@ -188,7 +187,6 @@ class CanineTokenizationTest(TokenizerTesterMixin, unittest.TestCase):
         tokenizers = self.get_tokenizers(do_lower_case=False)
         for tokenizer in tokenizers:
             with self.subTest(f"{tokenizer.__class__.__name__}"):
-
                 # a special token for Canine can be defined as follows:
                 NEW_TOKEN = 0xE006
                 new_token = chr(NEW_TOKEN)
@@ -262,7 +260,6 @@ class CanineTokenizationTest(TokenizerTesterMixin, unittest.TestCase):
         tokenizers = self.get_tokenizers(do_lower_case=False)
         for tokenizer in tokenizers:
             with self.subTest(f"{tokenizer.__class__.__name__}"):
-
                 input = "hello world"
                 if self.space_between_special_tokens:
                     output = "[CLS] hello world [SEP]"