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The main content of this article is to explain "what is the method of using Python decorator". Interested friends may wish to have a look. The method introduced in this paper is simple, fast and practical. Let the editor take you to learn "what is the method of using Python decorator"?

I just found another use of decorator today, so let's start with the code:

Data_list = [] def data_item (func): data_list.append (func) return func @ data_item def foo (): return 1 @ data_item def foo1 (): return 2 @ data_item def foo3 (): return 3 def max_item (): result = max (I () for i in data_list) return result if _ _ name__ ='_ _ main__': item = max_item () print (item)

The code is simple: define three functions at the beginning of foo, each foo function outputs a different number, all decorated by the decorator data_item, and finally through the max_item function, execute a series of logic to get the results.

One thing that is easy to overlook here is that the decorator is actually executed before max_item () is executed.

So, if you print out data_list, you'll find it's worth it.

[,]

That is, there are already three decorated functions in the list, and then in the

Max (I () for i in data_list)

In the I () phase, the three functions are executed, the results are obtained (1 ~ 2 ~ 3), and then their max value is 3.

What scenarios will be used? generally, for passing in a value and then multiple processing schemes, you can consider using this method when choosing one of the best solutions.

At this point, I believe you have a deeper understanding of "what is the method of using Python decorator". You might as well do it in practice. Here is the website, more related content can enter the relevant channels to inquire, follow us, continue to learn!

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