Python3.5装饰器典型案例分析

本文实例讲述了python/' target='_blank'>python3.5装饰器。分享给大家供大家参考，具体如下：

#!/usr/bin/env Python# -*- coding:utf-8 -*-# Author:ZhengzhengLiu#高阶函数+嵌套函数==>装饰器import timedef timer(func):    #timer(test1)-->func=test1  def decor():    start_time = time.time()    func()     #run test1    stop_time = time.time()    print("the run time of func is %s" %(stop_time-start_time))  return decor@timer   #test1 = timer(test1)def test1():  time.sleep(3)  print("in the test1")@timer   #test2 = timer(test2)def test2():  time.sleep(3)  print("in the test2")print(timer(test1))     #打印deco的地址#test1 = timer(test1)#test2 = timer(test2)test1()  #-->执行decortest2()

运行结果：

<function timer.<locals>.decor at 0x00B720C0>
in the test1
the run time of func is 3.000171661376953
in the test2
the run time of func is 3.000171661376953

1、装饰器修饰有参数函数

#高阶函数+嵌套函数==>装饰器import timedef timer(func):    #timer(test1)-->func=test1  def decor(arg1,arg2):    start_time = time.time()    func(arg1,arg2)     #run test2    stop_time = time.time()    print("the run time of func is %s" %(stop_time-start_time))  return decor@timer   #test2 = timer(test2) = decor  test2(name)==>decor(name)def test2(name,age):  print("test2:",name,age)test2("liu",23)

运行结果 :

test2: liu 23
the run time of func is 0.0

2、装饰器修饰多个函数，有的函数带参数，有的函数不带参数的情况（采用参数组）

#高阶函数+嵌套函数==>装饰器import timedef timer(func):    #timer(test1)-->func=test1  def decor(*args,**kwargs):    start_time = time.time()    func(*args,**kwargs)     #run test1    stop_time = time.time()    print("the run time of func is %s" %(stop_time-start_time))  return decor@timer   #test1 = timer(test1)def test1():  time.sleep(3)  print("in the test1")@timer   #test2 = timer(test2) = decor  test2(name)==>decor(name)def test2(name,age):  time.sleep(1)  print("test2:",name,age)#test1 = timer(test1)#test2 = timer(test2)test1()  #-->执行decortest2("liu",23)

运行结果：

in the test1
the run time of func is 3.0036065578460693
test2: liu 23
the run time of func is 1.0084023475646973

更多关于Python相关内容可查看本站专题：《Python数据结构与算法教程》、《Python Socket编程技巧总结》、《Python函数使用技巧总结》、《Python字符串操作技巧汇总》及《Python入门与进阶经典教程》

希望本文所述对大家Python程序设计有所帮助。