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Python video tutorialExplaining decorators
##Recommended free:Decorator concept
Decorator, to put it bluntly, is afunction## used to decorate functions. #. The decorator follows the open-closed principle
and dependency inversion principle
. These two principles and concepts can be found on Baidu.
def wrapper(f):
def inner(*args,**kwargs):
ret = f(*args,**kwargs)
return ret
return inner
The above code is the fixed format of the decorator
Calling the decorator@wrapper # 简称语法糖
def test():
print(1)
test()
is calling the decorator, Compared with wrapper(test())
, it saves code and is more beautiful. Maybe you don’t understand when you see this, why do you need @wrapper
? The calling function is not wrapper()
? Actually, if you ask me to tell you, I don’t know. I just know that it is easier to write this way. Directly in front of the function to be decorated
@wrapperQuickly understand the decorator with a small example
def wrapper(f):
print(2)
def inner(*args,**kwargs):
print(3)
ret = f(*args,**kwargs)
print(4)
return ret
return inner
@wrapper
def test():
print(1)
test()
== wrapper(test())
It is equivalent to calling the decorator function. It will be easier to directly use the syntax sugar @wrapper
*args
is the matching For positional parameters, **kwargs
matches parameters passed by keyword, so that all parameters can be received. wrapper(test)
Receives the value and passes it to f
. In the inner circle function, ret = f(*args,**kwargs)
This function is Code that executes the decorated function. Then return the executed value, and finally return this function. The execution result of this code is: <pre class="brush:php;toolbar:false">2
3
1
4</pre>
##It can be seen from this
## In #functioninner, print(3)
is the operation before executing the decoration function, and print(4)
is the operation after executing the decoration function. It may be difficult to understand. So it’s best to give it a try.
Basic exercises
'''1. 默写装饰器固定格式 2. 写一个加减功能的装饰器 '''
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