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This article mainly introduces the use of python decorator, the article is very detailed, has a certain reference value, interested friends must read it!

1. You can sort the array quickly (with O (N2) time complexity).

Define the insertion sort (arr): for I (1, len (arr)) in the range: J = iMur1 and arr [j] > arr [jacks 1] and j > = 0:arr [j], arr [jacks 1] = arr [jacks 1], arr [j] j-= 1 prints "sorted".

With the help of the decorator, we only need a few lines of code to add timers to every function in the world.

Functions in Python are first-class citizens, that is, they can be passed, assigned to variables, and returned from other functions.

# Anonymous function that returns the current time in milliseconds. Current_millitime = lambda: time () * 100mm this is our even array Sorted array = [x for x in range (100) if not x% 2] # scramble our array to provide it to InsertionSort shuffle (array) # insert sort algorithm definition insert sort (arr): for range I (1, len (arr): J = imur1 and arr [j] > arr [jacks 1] and j > = 0:arr [j], arr [jacks 1] = arr [jacks 1], arr [j] j-= 1 print "sort". Define decorator (function): def wrapper (* args, * * kwargs): T1 = current_millitime () function (* args, * * kwargs) T2 = current_millitime ()-T1 print "" function {} run milliseconds in {} ".format (function.__name__, T2) returns all the contents of the article" what are python decorators for? " Thank you for reading! Hope to share the content to help you, more related knowledge, welcome to follow the industry information channel!

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