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/big_bird/test_modeling_big_bird.py

@@ -430,7 +430,6 @@ class BigBirdModelTester:
 
 @require_torch
 class BigBirdModelTest(ModelTesterMixin, unittest.TestCase):
-
     # head masking & pruning is currently not supported for big bird
     test_head_masking = False
     test_pruning = False

tests/models/big_bird/test_modeling_flax_big_bird.py

@@ -24,6 +24,7 @@ from ...test_modeling_flax_common import FlaxModelTesterMixin, ids_tensor, rando
 
 if is_flax_available():
     import jax
+
     from transformers.models.big_bird.modeling_flax_big_bird import (
         FlaxBigBirdForCausalLM,
         FlaxBigBirdForMaskedLM,
@@ -134,7 +135,6 @@ class FlaxBigBirdModelTester(unittest.TestCase):
 
 @require_flax
 class FlaxBigBirdModelTest(FlaxModelTesterMixin, unittest.TestCase):
-
     all_model_classes = (
         (
             FlaxBigBirdForCausalLM,
@@ -210,7 +210,6 @@ class FlaxBigBirdModelTest(FlaxModelTesterMixin, unittest.TestCase):
 
                 self.assertEqual(len(outputs), len(jitted_outputs))
                 for jitted_output, output in zip(jitted_outputs, outputs):
-
                     self.assertEqual(jitted_output.shape, output.shape)
 
     # overwrite from common in order to skip the check on `attentions`

tests/models/big_bird/test_tokenization_big_bird.py

@@ -30,7 +30,6 @@ SAMPLE_VOCAB = get_tests_dir("fixtures/test_sentencepiece.model")
 @require_sentencepiece
 @require_tokenizers
 class BigBirdTokenizationTest(TokenizerTesterMixin, unittest.TestCase):
-
     tokenizer_class = BigBirdTokenizer
     rust_tokenizer_class = BigBirdTokenizerFast
     test_rust_tokenizer = True