標籤:int www. lock 形參 == print ros def module
第一步:最簡單的函數,準備附加額外功能
‘‘‘樣本1: 最簡單的函數,表示調用了兩次‘‘‘ def myfunc(): print("myfunc() called.") myfunc()myfunc()
第二步:使用裝飾函數在函數執行前和執行後分別附加額外功能
‘‘‘樣本2: 替換函數(裝飾)裝飾函數的參數是被裝飾的函數對象,返回原函數對象裝飾的實質語句: myfunc = deco(myfunc)‘‘‘ def deco(func): print("before myfunc() called.") func() print(" after myfunc() called.") return func def myfunc(): print(" myfunc() called.") myfunc = deco(myfunc) myfunc()myfunc()
第三步:使用文法糖@來裝飾函數
‘‘‘樣本3: 使用文法糖@來裝飾函數,相當於“myfunc = deco(myfunc)”但發現新函數只在第一次被調用,且原函數多調用了一次‘‘‘ def deco(func): print("before myfunc() called.") func() print(" after myfunc() called.") return func @decodef myfunc(): print(" myfunc() called.") myfunc()myfunc()
第四步:使用內嵌封裝函數來確保每次新函數都被調用
‘‘‘樣本4: 使用內嵌封裝函數來確保每次新函數都被調用,內嵌封裝函數的形參和傳回值與原函數相同,裝飾函數返回內嵌封裝函數對象‘‘‘ def deco(func): def _deco(): print("before myfunc() called.") func() print(" after myfunc() called.") # 不需要返回func,實際上應返回原函數的傳回值 return _deco @decodef myfunc(): print(" myfunc() called.") return ‘ok‘ myfunc()myfunc()
第五步:對帶參數的函數進行裝飾
‘‘‘樣本5: 對帶參數的函數進行裝飾,內嵌封裝函數的形參和傳回值與原函數相同,裝飾函數返回內嵌封裝函數對象‘‘‘ def deco(func): def _deco(a, b): print("before myfunc() called.") ret = func(a, b) print(" after myfunc() called. result: %s" % ret) return ret return _deco @decodef myfunc(a, b): print(" myfunc(%s,%s) called." % (a, b)) return a + b myfunc(1, 2)myfunc(3, 4)
第六步:對參數數量不確定的函數進行裝飾
‘‘‘樣本6: 對參數數量不確定的函數進行裝飾,參數用(*args, **kwargs),自動適應變參和具名引數‘‘‘ def deco(func): def _deco(*args, **kwargs): print("before %s called." % func.__name__) ret = func(*args, **kwargs) print(" after %s called. result: %s" % (func.__name__, ret)) return ret return _deco @decodef myfunc(a, b): print(" myfunc(%s,%s) called." % (a, b)) return a+b @decodef myfunc2(a, b, c): print(" myfunc2(%s,%s,%s) called." % (a, b, c)) return a+b+c myfunc(1, 2)myfunc(3, 4)myfunc2(1, 2, 3)myfunc2(3, 4, 5)
第七步:讓裝飾器帶參數
‘‘‘樣本7: 在樣本4的基礎上,讓裝飾器帶參數,和上一樣本相比在外層多了一層封裝。裝飾函數名實際上應更有意義些‘‘‘ def deco(arg): def _deco(func): def __deco(): print("before %s called [%s]." % (func.__name__, arg)) func() print(" after %s called [%s]." % (func.__name__, arg)) return __deco return _deco @deco("mymodule")def myfunc(): print(" myfunc() called.") @deco("module2")def myfunc2(): print(" myfunc2() called.") myfunc()myfunc2()
第八步:讓裝飾器帶 類 參數
‘‘‘樣本8: 裝飾器帶類參數‘‘‘ class locker: def __init__(self): print("locker.__init__() should be not called.") @staticmethod def acquire(): print("locker.acquire() called.(這是靜態方法)") @staticmethod def release(): print(" locker.release() called.(不需要對象執行個體)") def deco(cls): ‘‘‘cls 必須實現acquire和release靜態方法‘‘‘ def _deco(func): def __deco(): print("before %s called [%s]." % (func.__name__, cls)) cls.acquire() try: return func() finally: cls.release() return __deco return _deco @deco(locker)def myfunc(): print(" myfunc() called.") myfunc()myfunc()
第九步:裝飾器帶類參數,並分拆公用類到其他py檔案中,同時示範了對一個函數應用多個裝飾器
‘‘‘mylocker.py: 公用類 for 樣本9.py‘‘‘ class mylocker: def __init__(self): print("mylocker.__init__() called.") @staticmethod def acquire(): print("mylocker.acquire() called.") @staticmethod def unlock(): print(" mylocker.unlock() called.") class lockerex(mylocker): @staticmethod def acquire(): print("lockerex.acquire() called.") @staticmethod def unlock(): print(" lockerex.unlock() called.") def lockhelper(cls): ‘‘‘cls 必須實現acquire和release靜態方法‘‘‘ def _deco(func): def __deco(*args, **kwargs): print("before %s called." % func.__name__) cls.acquire() try: return func(*args, **kwargs) finally: cls.unlock() return __deco return _deco
‘‘‘樣本9: 裝飾器帶類參數,並分拆公用類到其他py檔案中同時示範了對一個函數應用多個裝飾器‘‘‘ from mylocker import * class example: @lockhelper(mylocker) def myfunc(self): print(" myfunc() called.") @lockhelper(mylocker) @lockhelper(lockerex) def myfunc2(self, a, b): print(" myfunc2() called.") return a + b if __name__=="__main__": a = example() a.myfunc() print(a.myfunc()) print(a.myfunc2(1, 2)) print(a.myfunc2(3, 4))
參考
Python入門之裝飾器九步學習入門