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/vit_mae/test_modeling_tf_vit_mae.py

@@ -266,7 +266,6 @@ class TFViTMAEModelTest(TFModelTesterMixin, unittest.TestCase):
     # overwrite from common since TFViTMAEForPretraining has random masking, we need to fix the noise
     # to generate masks during test
     def check_pt_tf_models(self, tf_model, pt_model, tf_inputs_dict):
-
         # make masks reproducible
         np.random.seed(2)
 
@@ -453,7 +452,6 @@ class TFViTMAEModelTest(TFModelTesterMixin, unittest.TestCase):
 
     @slow
     def test_model_from_pretrained(self):
-
         model = TFViTMAEModel.from_pretrained("google/vit-base-patch16-224")
         self.assertIsNotNone(model)
 

tests/models/vit_mae/test_modeling_vit_mae.py

@@ -209,7 +209,6 @@ class ViTMAEModelTest(ModelTesterMixin, unittest.TestCase):
     # overwrite from common since ViTMAEForPretraining has random masking, we need to fix the noise
     # to generate masks during test
     def check_pt_tf_models(self, tf_model, pt_model, pt_inputs_dict):
-
         # make masks reproducible
         np.random.seed(2)
 
@@ -224,7 +223,6 @@ class ViTMAEModelTest(ModelTesterMixin, unittest.TestCase):
         super().check_pt_tf_models(tf_model, pt_model, pt_inputs_dict)
 
     def test_save_load(self):
-
         config, inputs_dict = self.model_tester.prepare_config_and_inputs_for_common()
 
         for model_class in self.all_model_classes: