[PYTHON] Memo that refers to dictionary values as attributes (reinventing the wheel)

AttrDict is more convenient, but for those who want to use it for a while but don't want to install it

Definition

class Dict(dict): pass
Dict.__getattr__ = lambda s, k: s.get(k)

When using

a = Dict(a=0, b=Dict(c=1, d=2))
(a.a, a.b.c, a["a"], a["b"]["c"])

I want to define it a little more firmly

class Dict(dict):
    def __init__(self, *args, **kwargs):
        super().__init__(*args, **kwargs)
    
    def __getattr__(self, key):
        return self.get(key)
    
    def __getstate__(self):
        return self.__dict__
    
    def __setstate__(self, dict_):
        self.__dict__ = dict_

a = Dict(a=0, b=Dict(c=1, d=2))
(a.a, a.b.c, a["a"], a["b"]["c"], pickle.loads(pickle.dumps(a)))

__getstate__, __setstate__Is a pickle measure. You have to use pickle.

Extra edition

I wrote it on One Liner. Kaketadake

globals().update({"D": type("D", (dict,), {"__getattr__": lambda s, k: s.get(k)})}); D(a=1, b=D(c=2, d=3)).b.c