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/longt5/test_modeling_flax_longt5.py

@@ -45,6 +45,7 @@ if is_flax_available():
     import jax.numpy as jnp
     from flax.core.frozen_dict import unfreeze
     from flax.traverse_util import flatten_dict
+
     from transformers import FLAX_MODEL_FOR_QUESTION_ANSWERING_MAPPING, FLAX_MODEL_MAPPING, AutoTokenizer, LongT5Config
     from transformers.modeling_flax_pytorch_utils import load_flax_weights_in_pytorch_model
     from transformers.models.longt5.modeling_flax_longt5 import (
@@ -82,7 +83,6 @@ class FlaxLongT5ModelTester:
         scope=None,
         decoder_layers=None,
     ):
-
         self.parent = parent
         self.batch_size = batch_size
         self.encoder_seq_length = encoder_seq_length
@@ -236,7 +236,6 @@ class FlaxLongT5ModelTester:
 
 @require_flax
 class FlaxLongT5ModelTest(FlaxModelTesterMixin, FlaxGenerationTesterMixin, unittest.TestCase):
-
     all_model_classes = (FlaxLongT5Model, FlaxLongT5ForConditionalGeneration) if is_flax_available() else ()
     all_generative_model_classes = (FlaxLongT5ForConditionalGeneration,) if is_flax_available() else ()
     is_encoder_decoder = True