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/gpt2/test_modeling_flax_gpt2.py

@@ -29,6 +29,7 @@ from ...test_modeling_flax_common import FlaxModelTesterMixin, floats_tensor, id
 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,
@@ -189,7 +190,6 @@ class FlaxGPT2ModelTester:
 
 @require_flax
 class FlaxGPT2ModelTest(FlaxModelTesterMixin, FlaxGenerationTesterMixin, unittest.TestCase):
-
     all_model_classes = (FlaxGPT2Model, FlaxGPT2LMHeadModel) if is_flax_available() else ()
     all_generative_model_classes = (FlaxGPT2LMHeadModel,) if is_flax_available() else ()
 

tests/models/gpt2/test_modeling_gpt2.py

@@ -430,7 +430,6 @@ class GPT2ModelTester:
 
 @require_torch
 class GPT2ModelTest(ModelTesterMixin, GenerationTesterMixin, unittest.TestCase):
-
     all_model_classes = (
         (GPT2Model, GPT2LMHeadModel, GPT2DoubleHeadsModel, GPT2ForSequenceClassification, GPT2ForTokenClassification)
         if is_torch_available()

tests/models/gpt2/test_modeling_tf_gpt2.py

@@ -355,7 +355,6 @@ class TFGPT2ModelTester:
 
 @require_tf
 class TFGPT2ModelTest(TFModelTesterMixin, TFCoreModelTesterMixin, unittest.TestCase):
-
     all_model_classes = (
         (TFGPT2Model, TFGPT2LMHeadModel, TFGPT2ForSequenceClassification, TFGPT2DoubleHeadsModel)
         if is_tf_available()
@@ -439,7 +438,6 @@ class TFGPT2ModelTest(TFModelTesterMixin, TFCoreModelTesterMixin, unittest.TestC
         config, inputs_dict = self.model_tester.prepare_config_and_inputs_for_common()
 
         for model_class in self.all_model_classes:
-
             # Skip these 2 classes which uses `tf.gather` with `batch_dims=1`
             if model_class in [TFGPT2ForSequenceClassification, TFGPT2DoubleHeadsModel]:
                 continue

tests/models/gpt2/test_tokenization_gpt2.py

@@ -27,7 +27,6 @@ from ...test_tokenization_common import TokenizerTesterMixin
 
 @require_tokenizers
 class GPT2TokenizationTest(TokenizerTesterMixin, unittest.TestCase):
-
     tokenizer_class = GPT2Tokenizer
     rust_tokenizer_class = GPT2TokenizerFast
     test_rust_tokenizer = True

tests/models/gpt2/test_tokenization_gpt2_tf.py

@@ -28,7 +28,6 @@ if is_tf_available():
 
         @tf.function(input_signature=(tf.TensorSpec((None,), tf.string, name="text"),))
         def serving(self, text):
-
             tokenized = self.tokenizer(text)
             input_ids_dense = tokenized["input_ids"].to_tensor()