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

docs/source/en/pipeline_webserver.mdx

@@ -96,7 +96,7 @@ while True:
     queues.append(rq)
 strings
 outs = pipe(strings, batch_size=len(strings))
-for (rq, out) in zip(queues, outs):
+for rq, out in zip(queues, outs):
     await rq.put(out)
 ```
 

docs/source/en/tasks/asr.mdx

@@ -166,7 +166,6 @@ Unlike other data collators, this specific data collator needs to apply a differ
 
 >>> @dataclass
 ... class DataCollatorCTCWithPadding:
-
 ...     processor: AutoProcessor
 ...     padding: Union[bool, str] = "longest"
 

docs/source/en/tasks/object_detection.mdx

@@ -213,7 +213,6 @@ The `image_processor` expects the annotations to be in the following format: `{'
 
 ```py
 >>> def formatted_anns(image_id, category, area, bbox):
-
 ...     annotations = []
 ...     for i in range(0, len(category)):
 ...         new_ann = {
@@ -399,6 +398,7 @@ First, prepare the `cppe5["test"]` set: format the annotations and save the data
 ```py
 >>> import json
 
+
 >>> # format annotations the same as for training, no need for data augmentation
 >>> def val_formatted_anns(image_id, objects):
 ...     annotations = []