How to use the fitlins.utils.bids function in fitlins

model = 'default'

    derivatives = True if not opts.derivatives else opts.derivatives
    # Need this when specifying args directly (i.e. neuroscout)
    # god bless neuroscout, but let's make it work for others!
    if isinstance(derivatives, list) and len(derivatives) == 1:
        # WRONG AND EVIL to those who have spaces in their paths... bad bad practice
        # TODO - fix neuroscout
        derivatives = derivatives[0].split(" ")

    pipeline_name = 'fitlins'
    if opts.derivative_label:
        pipeline_name += '_' + opts.derivative_label
    deriv_dir = op.join(opts.output_dir, pipeline_name)
    os.makedirs(deriv_dir, exist_ok=True)
    bids.write_derivative_description(opts.bids_dir, deriv_dir)

    work_dir = mkdtemp() if opts.work_dir is None else opts.work_dir

    # Go ahead and initialize the layout database
    if opts.database_path is None:
        database_path = Path(work_dir) / 'dbcache'
        reset_database = True
    else:
        database_path = opts.database_path
        reset_database = False

    layout = BIDSLayout(opts.bids_dir,
                        derivatives=derivatives,
                        ignore=ignore,
                        force_index=force_index,
                        database_path=database_path,

database_path = Path(work_dir) / 'dbcache'
        reset_database = True
    else:
        database_path = opts.database_path
        reset_database = False

    layout = BIDSLayout(opts.bids_dir,
                        derivatives=derivatives,
                        ignore=ignore,
                        force_index=force_index,
                        database_path=database_path,
                        reset_database=reset_database)

    subject_list = None
    if opts.participant_label is not None:
        subject_list = bids.collect_participants(
            layout, participant_label=opts.participant_label)

    # Build main workflow
    logger.log(25, INIT_MSG(
        version=__version__,
        subject_list=subject_list)
    )

    fitlins_wf = init_fitlins_wf(
        database_path, deriv_dir,
        analysis_level=opts.analysis_level, model=model,
        space=opts.space, desc=opts.desc_label,
        participants=subject_list, base_dir=work_dir,
        smoothing=opts.smoothing, drop_missing=opts.drop_missing,
        )