code: def get_args():
      """Parses command line arguments"""
      parser = argparse.ArgumentParser(
          description="Benchmark Functions"
      )
      parser.add_argument(
          "--path",
          "-p",
          type=str,
          required=False,
          default=None,
          help="path to save function benchmarks",
      )
      parser.add_argument(
          "--only-functions",
          "-f",
          required=False,
          default=False,
          action="store_true",
          help="run only function benchmarks",
      )
      parser.add_argument(
          "--world-size",
          "-w",
          type=int,
          required=False,
          default=1,
          help="world size for number of parties",
      )
      parser.add_argument(
          "--device",
          "-d",
          required=False,
          default="cpu",
          help="the device to run the benchmarks",
      )
      parser.add_argument(
          "--multi-gpu",
          "-mg",
          required=False,
          default=False,
          action="store_true",
          help="use different gpu for each party. Will override --device if selected",
      )
      parser.add_argument(
          "--ttp",
          "-ttp",
          required=False,
          default=False,
          action="store_true",
          help="initialize a trusted third party (TTP) as beaver triples' provider, world_size should be greater than 2",
      )
      parser.add_argument(
          "--advanced-models",
          required=False,
          default=False,
          action="store_true",
          help="run advanced model (resnet, transformer, etc.) benchmarks",
      )
      args = parser.parse_args()
      return args
  
imports: import argparse
  import functools
  import os
  import timeit
  from collections import namedtuple
  import crypten
  import crypten.communicator
  import numpy
  import pandas
  import torch
  from examples import multiprocess_launcher
label_desc: Use image node_id 2 for calling a global function with example usage: get_args() and returns: args