(编辑：jimmy 日期: 2025/1/7 浏览：2)
无参修饰 ,无参数时不需要调用
def log1(func):
func()
@log1
def test():
print('test:')
有参修饰
def log2(func):
def inner(*args, **kwargs):
func(*args, **kwargs)
return inner
@log2
def test(num):
print('testlog2:',num,test.__name__)
test(20) #相当于log(test(20))
@wraps可以保证装饰器修饰的函数的name的值保持不变
不带参数的装饰器
def log3(func):
@wraps(func)
def inner(*args, **kwargs,):
func(*args, **kwargs)
return inner
@log3
def test(num):
print('testlog3:',num,test.__name__)
test(30) #相当于log(test(30))
带参数的装饰器
def log4(level):
def log(func):
@wraps(func)
def inner(*args, **kwargs,):
if level == "warn":
print("%s is running" % func.__name__)
func(*args, **kwargs)
return inner
return log
@log4(level="warn")
def test(num):
print('testlog4:', num, test.__name__)
test(40)
实现带参数和不带参数的装饰器自适应
def log(arg):
if callable(arg): # 判断参入的参数是否是函数，不带参数的装饰器调用这个分支
def log3(func):
@wraps(func)
def inner(*args, **kwargs, ):
func(*args, **kwargs)
return inner
return log3
else:
def log4(func):
@wraps(func)
def inner(*args, **kwargs,):
if arg == "warn":
print("%s is running" % func.__name__)
func(*args, **kwargs)
return inner
return log4
@log(arg=None)
def test(num):
print('testlog:', num, test.__name__)
test(0)
返回入参出参
def log5(func):
def inner(*args, **kwargs):
print('入参：',func.__name__, args, kwargs)
res =func(*args, **kwargs)
print('出参：',func.__name__, res)
return res
return inner
@log5
def test(num):
print('testlog5:', num, test.__name__)
return num
print(test(50))
类装饰器
class Loging:
def __init__(self,level):
self.level = level
def __call__(self,func):
@wraps(func)
def inner(*args, **kwargs):
if self.level == "warn":
self.notify(func)
func(*args, **kwargs)
return inner
def notify(self,func):
print ("%s is running" % func.__name__)
@Loging(level="warn")
def test(num):
print('testLoging:', num, test.__name__)
test(0)
以上就是python 装饰器的使用示例的详细内容，更多关于python 装饰器的资料请关注其它相关文章！