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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def parse_args():
 """ Helper function parsing the command line options @retval ArgumentParser """

    parser = ArgumentParser(description="PyTorch distributed training launch "
                                        "helper utilty that will spawn up "
                                        "multiple distributed processes")

    # Optional arguments for the launch helper
    parser.add_argument("--nnodes", type=int, default=1,
                        help="The number of nodes to use for distributed "
                             "training")
    parser.add_argument("--node_rank", type=int, default=0,
                        help="The rank of the node for multi-node distributed "
                             "training")
    parser.add_argument("--nproc_per_node", type=int, default=1,
                        help="The number of processes to launch on each node, "
                             "for GPU training, this is recommended to be set "
                             "to the number of GPUs in your system so that "
                             "each process can be bound to a single GPU.")
    parser.add_argument("--master_addr", default="127.0.0.1", type=str,
                        help="Master node (rank 0)'s address, should be either "
                             "the IP address or the hostname of node 0, for "
                             "single node multi-proc training, the "
                             "--master_addr can simply be 127.0.0.1")
    parser.add_argument("--master_port", default=29500, type=int,
                        help="Master node (rank 0)'s free port that needs to "
                             "be used for communciation during distributed "
                             "training")
    parser.add_argument('--no_hyperthreads', action='store_true',
                        help='Flag to disable binding to hyperthreads')
    parser.add_argument('--no_membind', action='store_true',
                        help='Flag to disable memory binding')

    # non-optional arguments for binding
    parser.add_argument("--nsockets_per_node", type=int, required=True,
                        help="Number of CPU sockets on a node")
    parser.add_argument("--ncores_per_socket", type=int, required=True,
                        help="Number of CPU cores per socket")

    # positional
    parser.add_argument("training_script", type=str,
                        help="The full path to the single GPU training "
                             "program/script to be launched in parallel, "
                             "followed by all the arguments for the "
                             "training script")

    # rest from the training program
    parser.add_argument('training_script_args', nargs=REMAINDER)
    return parser.parse_args()