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

examples/pytorch/speech-pretraining/run_wav2vec2_pretraining_no_trainer.py

@@ -24,14 +24,14 @@ from typing import Dict, List, Optional, Union
 
 import datasets
 import torch
+from accelerate import Accelerator
+from accelerate.logging import get_logger
 from datasets import DatasetDict, concatenate_datasets, load_dataset
+from huggingface_hub import Repository, create_repo
 from torch.utils.data.dataloader import DataLoader
 from tqdm.auto import tqdm
 
 import transformers
-from accelerate import Accelerator
-from accelerate.logging import get_logger
-from huggingface_hub import Repository, create_repo
 from transformers import (
     AdamW,
     SchedulerType,
@@ -641,7 +641,6 @@ def main():
 
             # update step
             if (step + 1) % args.gradient_accumulation_steps == 0 or step == len(train_dataloader) - 1:
-
                 # compute grad norm for monitoring
                 scale = (
                     accelerator.scaler._scale.item()