def add_args()

in grok/training.py [0:0]

• 9 lines of code
• 2 McCabe index (conditional complexity)

def add_args(parser=None) -> Namespace:
    """
    Parses the command line arguments

    :returns: an argparse.Namespace with all of the needed arguments
    """
    if parser is None:
        parser = ArgumentParser()
    parser.add_argument("--random_seed", type=int, default=-1)
    parser.add_argument("--gpu", type=int, default=0)
    parser.add_argument("--max_epochs", type=int, default=None)
    parser.add_argument("--max_steps", type=int, default=100000)
    # parser.add_argument("--checkpoint_period", type=int, default=1)
    parser = TrainableTransformer.add_model_specific_args(parser)
    return parser