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/wav2vec2/test_feature_extraction_wav2vec2.py

@@ -96,7 +96,6 @@ class Wav2Vec2FeatureExtractionTester(unittest.TestCase):
 
 
 class Wav2Vec2FeatureExtractionTest(SequenceFeatureExtractionTestMixin, unittest.TestCase):
-
     feature_extraction_class = Wav2Vec2FeatureExtractor
 
     def setUp(self):

tests/models/wav2vec2/test_modeling_flax_wav2vec2.py

@@ -45,6 +45,7 @@ if is_flax_available():
     import jax.numpy as jnp
     import optax
     from flax.traverse_util import flatten_dict
+
     from transformers import Wav2Vec2FeatureExtractor, Wav2Vec2Processor
     from transformers.models.wav2vec2.modeling_flax_wav2vec2 import (
         FlaxWav2Vec2ForCTC,
@@ -58,6 +59,7 @@ if is_flax_available():
 
 if is_pyctcdecode_available():
     import pyctcdecode.decoder
+
     from transformers import Wav2Vec2ProcessorWithLM
     from transformers.models.wav2vec2_with_lm import processing_wav2vec2_with_lm
 
@@ -67,7 +69,6 @@ if is_librosa_available():
 
 
 def _test_wav2vec2_with_lm_invalid_pool(in_queue, out_queue, timeout):
-
     error = None
     try:
         _ = in_queue.get(timeout=timeout)
@@ -276,7 +277,6 @@ class FlaxWav2Vec2ModelTest(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)
 
     def test_freeze_feature_encoder(self):

tests/models/wav2vec2/test_modeling_tf_wav2vec2.py

@@ -26,8 +26,8 @@ import unittest
 import numpy as np
 import pytest
 from datasets import load_dataset
-
 from huggingface_hub import snapshot_download
+
 from transformers import Wav2Vec2Config, is_tf_available
 from transformers.testing_utils import (
     CaptureLogger,
@@ -53,6 +53,7 @@ if is_tf_available():
 
 if is_pyctcdecode_available():
     import pyctcdecode.decoder
+
     from transformers import Wav2Vec2ProcessorWithLM
     from transformers.models.wav2vec2_with_lm import processing_wav2vec2_with_lm
 
@@ -62,7 +63,6 @@ if is_librosa_available():
 
 
 def _test_wav2vec2_with_lm_invalid_pool(in_queue, out_queue, timeout):
-
     error = None
     try:
         _ = in_queue.get(timeout=timeout)
@@ -283,7 +283,6 @@ class TFWav2Vec2ModelTester:
 
 @require_tf
 class TFWav2Vec2ModelTest(TFModelTesterMixin, unittest.TestCase):
-
     all_model_classes = (TFWav2Vec2Model, TFWav2Vec2ForCTC) if is_tf_available() else ()
     test_resize_embeddings = False
     test_head_masking = False

tests/models/wav2vec2/test_modeling_wav2vec2.py

@@ -81,6 +81,7 @@ if is_torchaudio_available():
 
 if is_pyctcdecode_available():
     import pyctcdecode.decoder
+
     from transformers import Wav2Vec2ProcessorWithLM
     from transformers.models.wav2vec2_with_lm import processing_wav2vec2_with_lm
 
@@ -90,7 +91,6 @@ if is_torch_fx_available():
 
 
 def _test_wav2vec2_with_lm_invalid_pool(in_queue, out_queue, timeout):
-
     error = None
     try:
         _ = in_queue.get(timeout=timeout)