
第一步:最简单的函数,准备附加额外功能
1 2 3 4 5 6 7 8 | # -*- coding:gbk -*-
'' '示例1: 最简单的函数,表示调用了两次' ''
def myfunc():
print ( "myfunc() called." )
myfunc()
myfunc()
|
第二步:使用装饰函数在函数执行前和执行后分别附加额外功能
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | # -*- coding:gbk -*-
'' '示例2: 替换函数(装饰)
装饰函数的参数是被装饰的函数对象,返回原函数对象
装饰的实质语句: 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:使用语法糖@来装饰函数
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | # -*- coding:gbk -*-
'' '示例3: 使用语法糖@来装饰函数,相当于“myfunc = deco(myfunc)”
但发现新函数只在第一次被调用,且原函数多调用了一次 '' '
def deco(func):
print ( "before myfunc() called." )
func()
print ( " after myfunc() called." )
return func
@deco
def myfunc():
print ( " myfunc() called." )
myfunc()
myfunc()
|
相关推荐:《Python视频教程》
第四步:使用内嵌包装函数来确保每次新函数都被调用
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | # -*- coding:gbk -*-
'' '示例4: 使用内嵌包装函数来确保每次新函数都被调用,
内嵌包装函数的形参和返回值与原函数相同,装饰函数返回内嵌包装函数对象 '' '
def deco(func):
def _deco():
print ( "before myfunc() called." )
func()
print ( " after myfunc() called." )
# 不需要返回func,实际上应返回原函数的返回值
return _deco
@deco
def myfunc():
print ( " myfunc() called." )
return 'ok'
myfunc()
myfunc()
|
第五步:对带参数的函数进行装饰
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | # -*- coding:gbk -*-
'' '示例5: 对带参数的函数进行装饰,
内嵌包装函数的形参和返回值与原函数相同,装饰函数返回内嵌包装函数对象 '' '
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
@deco
def myfunc(a, b):
print ( " myfunc(%s,%s) called." % (a, b))
return a + b
myfunc(1, 2)
myfunc(3, 4)
|
第六步:对参数数量不确定的函数进行装饰
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 | # -*- coding:gbk -*-
'' '示例6: 对参数数量不确定的函数进行装饰,
参数用(*args, **kwargs),自动适应变参和命名参数 '' '
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
@deco
def myfunc(a, b):
print ( " myfunc(%s,%s) called." % (a, b))
return a+b
@deco
def 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:让装饰器带参数
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 | # -*- coding:gbk -*-
'' '示例7: 在示例4的基础上,让装饰器带参数,
和上一示例相比在外层多了一层包装。
装饰函数名实际上应更有意义些 '' '
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:让装饰器带类参数
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 | # -*- coding:gbk -*-
'' '示例8: 装饰器带类参数' ''
class locker:
def __init__(self):
print ( "locker.__init__() should be not called." )
@staticmethod
def acquire():
print ( "locker.acquire() called.(这是静态方法)" )
@staticmethod
def release():
print ( " locker.release() called.(不需要对象实例)" )
def deco(cls):
'' 'cls 必须实现acquire和release静态方法' ''
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:装饰器带类参数,并分拆公共类到其他py文件中,同时演示了对一个函数应用多个装饰器。
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 | # -*- coding:gbk -*-
'' 'mylocker.py: 公共类 for 示例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 必须实现acquire和release静态方法' ''
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
|
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 | # -*- coding:gbk -*-
'' '示例9: 装饰器带类参数,并分拆公共类到其他py文件中
同时演示了对一个函数应用多个装饰器 '' '
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))
|
相关推荐:
Python中的装饰器是什么