How to use the nanocomp.utils.validate_split_runs_file function in NanoComp

'''
    settings, args = utils.get_args()
    try:
        utils.make_output_dir(args.outdir)
        utils.init_logs(args)
        args.format = utils.check_valid_format(args.format)
        sources = {
            "fastq": args.fastq,
            "bam": args.bam,
            "cram": args.cram,
            "summary": args.summary,
            "fasta": args.fasta,
            "ubam": args.ubam,
        }
        if args.split_runs:
            split_dict = utils.validate_split_runs_file(args.split_runs)
        if args.pickle:
            from nanoget import combine_dfs
            datadf = combine_dfs(dfs=[pickle.load(open(p, 'rb')) for p in args.pickle],
                                 names=args.names,
                                 method="track")
        elif args.feather:
            from nanoget import combine_dfs
            from pandas import read_feather
            datadf = combine_dfs([read_feather(p) for p in args.feather],
                                 names=args.names,
                                 method="track")
        else:
            datadf = nanoget.get_input(
                source=[n for n, s in sources.items() if s][0],
                files=[f for f in sources.values() if f][0],
                threads=args.threads,