text: import argparse
  
  
  def _get_parser():
      # Running settings
      parser = argparse.ArgumentParser(description='FMA experiments.')
      # Parse
      parser.add_argument('--model', type=str, default='SampleCNN', metavar='M', help='type of model to use {, , }')
      parser.add_argument('--batch_size', type=int, default=23, metavar='N',  help='input batch size for training (default: 23)')
      parser.add_argument("--device", type=str, default="cuda", help="Where to deploy the model {cuda, cpu}")
      parser.add_argument('--seed', type=int, default=5, metavar='S', help='random seed (default: 5)')
      parser.add_argument('--wavelet_loss', default=False, action='store_true', help='use wavelet loss. If false, it wont be used.')
      parser.add_argument('--pretrained', default=False, action='store_true', help='use pre-trained model. If false, the model will be trained.')
      parser.add_argument('--extra_comment', type=str, default="")
      # Return parser
      return parser
  
  
  def parse_args():
      parser = _get_parser()
      return parser.parse_args()