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/pipelines/test_pipelines_automatic_speech_recognition.py

@@ -17,8 +17,8 @@ import unittest
 import numpy as np
 import pytest
 from datasets import load_dataset
-
 from huggingface_hub import snapshot_download
+
 from transformers import (
     MODEL_FOR_CTC_MAPPING,
     MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING,
@@ -277,7 +277,6 @@ class AutomaticSpeechRecognitionPipelineTests(unittest.TestCase, metaclass=Pipel
     @require_torch
     @slow
     def test_torch_large(self):
-
         speech_recognizer = pipeline(
             task="automatic-speech-recognition",
             model="facebook/wav2vec2-base-960h",
@@ -645,7 +644,6 @@ class AutomaticSpeechRecognitionPipelineTests(unittest.TestCase, metaclass=Pipel
     @require_torch
     @require_torchaudio
     def test_simple_s2t(self):
-
         model = Speech2TextForConditionalGeneration.from_pretrained("facebook/s2t-small-mustc-en-it-st")
         tokenizer = AutoTokenizer.from_pretrained("facebook/s2t-small-mustc-en-it-st")
         feature_extractor = AutoFeatureExtractor.from_pretrained("facebook/s2t-small-mustc-en-it-st")