github上的项目总喜欢使用argparse + bash来运行，这对于快速运行一个项目来说可能有好处，但在debug的时候是很难受的。因为我们需要在.sh文件中修改传入参数，并且不能使用jupyter。
以下是把parser转换成class类的一个代码示例：
#%% import argparse parser = argparse.ArgumentParser() parser.add_argument("--get_pred", action='store_true', help="Whether to get prediction results.") parser.add_argument("--get_ig_pred", action='store_true', help="Whether to get integrated gradient at the predicted label.") parser.add_argument("--get_ig_gold", action='store_true', help="Whether to get integrated gradient at the gold label.") parser.add_argument("--get_base", action='store_true', help="Whether to get base values. ") parser.add_argument("--batch_size", default=16, type=int, help="Total batch size for cut.") parser.add_argument("--num_batch", default=10, type=int, help="Num batch of an example.") #%% 转换 def print_store_actions(store_actions, print_attrs = ['type', 'help'], need_default = True): if len(print_attrs) > 0: s = '# ' for i in store_actions.__dir__(): if i in print_attrs: s0 = str(getattr(store_actions, i)) s0 = s0.replace('\n', ' ') s += s0 + ', ' print(s[:-2]) if need_default: if getattr(store_actions, 'type') == str: s = '# default = "' + str(getattr(store_actions, 'default')) + '"' else: s = '# default = ' + str(getattr(store_actions, 'default')) print(s) def parser_2_class(parser, print_attrs = ['type', 'help'], need_default = True): for i in parser._actions: if i.option_strings[0] == '-h': continue v = '"' + i.default + '"' if i.type == str else i.default if len(print_attrs) == 0: print(i.option_strings[0][2:], '=', v, end=' ') print_store_actions(i, print_attrs, need_default) else: print_store_actions(i, print_attrs, need_default) print(i.option_strings[0][2:], '=', v) parser_2_class(parser, ['type', 'help'], True)
然后使用输出构建一个只包含成员变量的类，就能实现和parser获得的变量空间一样的效果，从而可以方便地debug，并且无需修改项目的其它代码。如下：
class args: # None, Whether to get prediction results. # default = False get_pred = False # None, Whether to get integrated gradient at the predicted label. # default = False get_ig_pred = False # None, Whether to get integrated gradient at the gold label. # default = False get_ig_gold = False # None, Whether to get base values. # default = False get_base = False # <class 'int'>, Total batch size for cut. # default = 16 batch_size = 16 # <class 'int'>, Num batch of an example. # default = 10 num_batch = 10