def launcher_parser()

in bayesmark/cmd_parse.py [0:0]

• 26 lines of code
• 4 McCabe index (conditional complexity)

def launcher_parser(description):
    parser = argparse.ArgumentParser(description=description, parents=[base_parser()])

    add_argument(parser, CmdArgs.uuid, type=uuid, help="length 32 hex UUID for this experiment")
    add_argument(parser, CmdArgs.data_root, type=filepath, help="root directory for all custom csv files")
    add_argument(parser, CmdArgs.db, type=filename, help="database ID of this benchmark experiment")

    add_argument(parser, CmdArgs.optimizer, type=joinable, nargs="+", help="optimizers to use")
    add_argument(parser, CmdArgs.data, type=joinable, nargs="+", help="data sets to use")
    add_argument(parser, CmdArgs.classifier, type=joinable, nargs="+", help="classifiers to use")
    add_argument(parser, CmdArgs.metric, type=str, choices=METRICS, nargs="+", help="scoring metric to use")

    # Iterations counts used in experiments
    add_argument(parser, CmdArgs.n_calls, default=100, type=positive_int, help="number of function evaluations")
    add_argument(
        parser, CmdArgs.n_suggest, default=1, type=positive_int, help="number of suggestions to provide in parallel"
    )
    add_argument(parser, CmdArgs.n_repeat, default=20, type=positive_int, help="number of repetitions of each study")
    add_argument(parser, CmdArgs.timeout, default=0, type=int, help="Timeout per experiment (0 = no timeout)")

    # Arguments for creating dry run jobs file
    add_argument(
        parser,
        CmdArgs.n_jobs,
        type=int,
        default=0,
        help="number of jobs to put in the dry run file, the default 0 value disables dry run (real run)",
    )
    # Using default of current dir for jobs file output since that is generally the default for everything
    add_argument(
        parser, CmdArgs.jobs_file, type=filepath, default="./jobs.txt", help="a jobs file with all commands to be run"
    )
    return parser