Enable debugging for converters using multiprocessing

[NicolasGensollen]

Some of our converters like ADNI-to-BIDS use multiprocessing when converting images using a Pool of workers where the number of workers is set to n_procs:

clinica/clinica/iotools/converters/adni_to_bids/adni_utils.py

Lines 1299 to 1306 in 7f7a0b4

	with Pool(processes=n_procs) as pool:
	create_file_ = partial(
	create_file,
	modality=modality,
	bids_dir=bids_dir,
	mod_to_update=mod_to_update,
	)
	output_file_treated = pool.map(create_file_, images_list)

When setting n_procs to one, this still creates a Pool with one worker which prevent using the classical Python debugger for example.

I believe we should only create the Pool of workers when n_jprocs >= 2, and run the conversion sequentially when n_procs==1:

create_file_ = partial(
    create_file,
    modality=modality,
    bids_dir=bids_dir,
    mod_to_update=mod_to_update,
)
output_file_treated = [create_file_(image) for image in images_list]

This wouldn't change the user experience, but would greatly improve the developer experience when debugging image conversions.