github上下载的深度学习代码，为快速在jupyter notebook运行替换ArgumentParser定义的参数

github上的参数代码一般是如下格式：

if __name__ == '__main__':
    parser = ArgumentParser()
    parser.add_argument("--test_dir", type=str, default="test", help='Directory containing the test data (must have subdirectory noisy/)')
    parser.add_argument("--enhanced_dir", type=str, default="test", help='Directory containing the enhanced data')
    parser.add_argument("--ckpt", type=str, default="logs/epoch=326-step=408750.ckpt", help='Path to model checkpoint.')
    parser.add_argument("--corrector", type=str, choices=("ald", "langevin", "none"), default="ald", help="Corrector class for the PC sampler.")
    parser.add_argument("--corrector_steps", type=int, default=1, help="Number of corrector steps")
    parser.add_argument("--snr", type=float, default=0.5, help="SNR value for (annealed) Langevin dynmaics.")
    parser.add_argument("--N", type=int, default=30, help="Number of reverse steps")
    args = parser.parse_args()

为了让jupyter notebook运行代码，需要将ArgumentParser定义的参数替换，但是又由于项目中用了很多args的属性，因此定义一个需要定义 一个 args.参数的函数，如下替换就可以：

    class Point_Attribute(dict):
    
        #给字典中加入点属性
        def __init__(self, **kwargs):
            super().__init__(kwargs)

        def __setattr__(self, key, value):
            #设置属性
            self[key] = value

        def __getattr__(self, key):  #当出现iris.datas时，调用getattr方法
            #获取属性
            self[key]
            return self[key]  

    args = Point_Attribute(
        test_dir="test",
        enhanced_dir="/kaggle/working/", 
        ckpt="logs/epoch=326-step=408750.ckpt", 
        corrector="ald", 
        corrector_steps=1, 
        snr=0.5,
        N=4
    )