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Python3.5装饰器典型案例分析

2019-05-15 18:02 756 查看

本文实例讲述了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 time
def 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decor
test2()

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 time
def 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 time
def 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decor
test2("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。

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