每个人似乎都错过了显而易见的解决方案。
>>> import functools>>> class memoized(object): """Decorator that caches a function's return value each time it is called. If called later with the same arguments, the cached value is returned, and not re-evaluated. """ def __init__(self, func): self.func = func self.cache = {} functools.update_wrapper(self, func) ## TA-DA! ## def __call__(self, *args): pass # Not needed for this demo.>>> @memoizeddef fibonacci(n): """fibonacci docstring""" pass # Not needed for this demo.>>> fibonacci<__main__.memoized object at 0x0156DE30>>>> fibonacci.__name__'fibonacci'>>> fibonacci.__doc__'fibonacci docstring'
