parser.add_argument('-lr', '--learning_rate', default=1e-5, type=float, help='学习率') # 添加一个可选参数,输入必须是bert/roberta/albert中的一个,否则报错 parser.add_argument('--model', default='bert', choices=['bert', 'roberta', '
parser = argparse.ArgumentParser() parser.parse_args() 1. 2. 3. 运行结果: $ python prog.py $ python prog.py --help usage: prog.py [-h] optional arguments: -h, --help show this help message and exit $ python prog.py --verbose usage: prog.py [-h] prog.py: error: unrecognized ...
parser.set_defaults_from_configs('config.json') Clear_append/extend action Theclear_append/clear_extendaction is similar toappendandextend, but the initial value is cleared. This is useful when you want to accept a new list of values from the command line, instead of append/extend to the ...
如果和arg-names（参数名1，参数名2...)一起用，那么用法是args（参数1，参数2...)，其中，参数1...
ENParser就是将SQL字符串切分成一个个Token，再根据一定语义规则解析为一棵语法树。我们写的sql语句只是...
add_argument("--epoch", help="Checkpoint epoch [Default 100]", type=int, default=100) args = parser.parse_args() init_state_names, init_state_arrays = lstm_init_states(batch_size=1) img = read_img(args.path) sample = SimpleBatch( data_names=['data'] + init_state_names, data=[...
import argclass class Parser(argclass.Parser): numbers = argclass.Argument(nargs=argclass.Nargs.ONE_OR_MORE, type=int) parser = Parser() parser.parse_args(["--numbers", "1", "2", "3"]) assert parser.numbers == [1, 2, 3] type will be applied to each item in the list of arg...
parser.add_argument( '--flag_int', type=float, default=0.01, help='flag_int.' ) FLAGS, unparsed=parser.parse_known_args() print(FLAGS) print(unparsed) 结果如下: 1 2 3 $ python prog.py--flag_int0.02--double0.03a1 Namespace(flag_int=0.02) ...
File "pdfminer/psparser.py", line 4, in <module> from .utils import choplist File "pdfminer/utils.py", line 219, in <module> 0x00f8, 0x00f9, 0x00fa, 0x00fb, 0x00fc, 0x00fd, 0x00fe, 0x00ff, File "pdfminer/utils.py", line 187, in <genexpr> ...
self._anonymous = OptionGroup("custom options", parser=self) self._groups = [] # type: List[OptionGroup] self._processopt = processopt self._usage = usage self._inidict = {} # type: Dict[str, Tuple[str, Optional[str], Any]] ...