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/gptj/test_modeling_flax_gptj.py

@@ -29,6 +29,7 @@ from ...test_modeling_flax_common import FlaxModelTesterMixin, ids_tensor, rando
 if is_flax_available():
     import jax
     import jax.numpy as jnp
+
     from transformers.modeling_flax_pytorch_utils import (
         convert_pytorch_state_dict_to_flax,
         load_flax_weights_in_pytorch_model,
@@ -178,7 +179,6 @@ class FlaxGPTJModelTester:
 
 @require_flax
 class FlaxGPTJModelTest(FlaxModelTesterMixin, FlaxGenerationTesterMixin, unittest.TestCase):
-
     all_model_classes = (FlaxGPTJModel, FlaxGPTJForCausalLM) if is_flax_available() else ()
     all_generative_model_classes = (FlaxGPTJForCausalLM,) if is_flax_available() else ()
 

tests/models/gptj/test_modeling_gptj.py

@@ -361,7 +361,6 @@ class GPTJModelTester:
 
 @require_torch
 class GPTJModelTest(ModelTesterMixin, GenerationTesterMixin, unittest.TestCase):
-
     all_model_classes = (
         (GPTJModel, GPTJForCausalLM, GPTJForSequenceClassification, GPTJForQuestionAnswering)
         if is_torch_available()

tests/models/gptj/test_modeling_tf_gptj.py

@@ -287,7 +287,6 @@ class TFGPTJModelTester:
 
 @require_tf
 class TFGPTJModelTest(TFModelTesterMixin, TFCoreModelTesterMixin, unittest.TestCase):
-
     all_model_classes = (
         (TFGPTJForCausalLM, TFGPTJForSequenceClassification, TFGPTJForQuestionAnswering, TFGPTJModel)
         if is_tf_available()