text: #!/usr/bin/env python
  # -*- coding: utf-8 -*-
  # Python version: 3.6
  
  import argparse
  
  def args_parser():
      parser = argparse.ArgumentParser()
      # federated arguments
      parser.add_argument('--user_rate', type=list, default=[0.02 for i in range(50)], help="rate of users")
      parser.add_argument('--epochs', type=int, default=1, help="rounds of training")
      parser.add_argument('--num_users', type=int, default=50, help="number of users: K")
      parser.add_argument('--frac', type=float, default=0.1, help="the fraction of clients: C")
      parser.add_argument('--local_ep', type=int, default=5, help="the number of local epochs: E")
      parser.add_argument('--local_bs', type=int, default=10, help="local batch size: B")
      parser.add_argument('--bs', type=int, default=128, help="test batch size")
      parser.add_argument('--lr', type=float, default=0.01, help="learning rate")
      parser.add_argument('--momentum', type=float, default=0.5, help="SGD momentum (default: 0.5)")
      parser.add_argument('--split', type=str, default='user', help="train-test split type, user or sample")
  
      # model arguments
      parser.add_argument('--model', type=str, default='cnn', help='model name')
      parser.add_argument('--kernel_num', type=int, default=9, help='number of each kind of kernel')
      parser.add_argument('--kernel_sizes', type=str, default='3,4,5',
                          help='comma-separated kernel size to use for convolution')
      parser.add_argument('--norm', type=str, default='batch_norm', help="batch_norm, layer_norm, or None")
      parser.add_argument('--num_filters', type=int, default=32, help="number of filters for conv nets")
      parser.add_argument('--max_pool', type=str, default='True',
                          help="Whether use max pooling rather than strided convolutions")
  
      # other arguments
      parser.add_argument('--dataset', type=str, default='mnist', help="name of dataset")
      parser.add_argument('--iid', action='store_true',default=False, help='whether i.i.d or not')
      parser.add_argument('--num_classes', type=int, default=10, help="number of classes")
      parser.add_argument('--num_channels', type=int, default=1, help="number of channels of imges")
      parser.add_argument('--gpu', type=int, default=0, help="GPU ID, -1 for CPU")
      parser.add_argument('--stopping_rounds', type=int, default=10, help='rounds of early stopping')
      parser.add_argument('--verbose', action='store_true',default=False, help='verbose print')
      parser.add_argument('--seed', type=int, default=1, help='random seed (default: 1)')
      args = parser.parse_args()
      return args
  