转载请注明来源:http://blog.youkuaiyun.com/TangHuanan/article/details/45094497
刚看到Python装饰器时, 觉得很神奇。简单实验下,发现也就那么回事。但是慢慢的看到越来越多的装饰器。很多时候又不了解到底是怎么回事了。
最后还是决定好好研究下。
先看看一些实例, 然后再来分析下原理
假设我们有如下的基本函数
def do_something():
for i in range(1000000):
pass
print "play game"
do_something()
结果如下:
play game
需求1: 统计函数的执行时间
1. 不是装饰器的装饰器
import time
def decorator(fun):
start = time.time()
fun()
runtime = time.time()-start
print runtime
def do_something():
for i in range(1000000):
pass
print "play game"
decorator(do_something)
结果如下:
play game
0.015633821487426758
这种实现看上去还可以,但是每次调用的是decorator,还要把函数作为一个参数传入。这样需要修改调用的地方,使用起来就不方便了。
2. 最简单的装饰器
import time
def decorator(fun):
def inner():
start = time.time()
fun()
runtime = time.time()-start
print(runtime)
return inner
@decorator
def do_something():
for i in range(1000000):
pass
print("play game")
do_something()
结果如下:
play game
0.01563405990600586
装饰器是在函数定义时前面加@,然后跟装饰器的实现函数。可以看出,现在只要直接调用do_something就可以了。调用的地方不要作任何修改。
3. 目标函数带固定参数的装饰器
import time
def decorator(fun):
def wrapper(name):
start = time.time()
fun(name)
runtime = time.time()-start
print runtime
return wrapper
@decorator
def do_something(name):
for i in range(1000000):
pass
print "play game " + name
do_something("san guo sha")
结果如下:
play game san guo sha
0.039999961853
实现很简单, 就是给wrapper函数参加相同的参数。
4. 目标函数带不固定参数的装饰器
import time
def decorator(fun):
def wrapper(*args, **kwargs):
start = time.time()
fun(*args, **kwargs)
runtime = time.time()-start
print runtime
return wrapper
@decorator
def do_something(name):
for i in range(1000000):
pass
print "play game " + name
@decorator
def do_something2(user, name):
for i in range(1000000):
pass
print user+" play game " + name
do_something("san guo sha")
do_something2("wang xiao er","san guo sha")
结果如下:
play game san guo sha
0.029000043869
wang xiao er play game san guo sha
0.0310001373291
需求2: 目标函数每次调用重复执行指定的次数
5. 让装饰器带参数
import time
def decorator(max):
def _decorator(fun):
def wrapper(*args, **kwargs):
start = time.time()
for i in xrange(max):
fun(*args, **kwargs)
runtime = time.time()-start
print runtime
return wrapper
return _decorator
@decorator(2)
def do_something(name):
for i in range(1000000):
pass
print "play game " + name
do_something("san guo sha")
结果如下:
play game san guo sha
play game san guo sha
0.0600001811981
6. 原理
看了这么多实例, 装饰器的基本类型也基本上都有了。是不是清楚了呢?
如果还是不清楚,那就继续看下面的内容。
1 不带参数的装饰器
@a_decorator
def f(...):
...
#经过a_decorator后, 函数f就相当于以f为参数调用a_decorator返回结果。
f = a_decorator(f)
来分析这个式子, 可以看出至少要满足以下几个条件
1. 装饰器函数运行在函数定义的时候
2. 装饰器需要返回一个可执行的对象
3. 装饰器返回的可执行对象要兼容函数f的参数
2 验证分析
1 装饰器运行时间
import time
def decorator(fun):
print "decorator"
def wrapper():
print "wrapper"
start = time.time()
fun()
runtime = time.time()-start
print runtime
return wrapper
@decorator
def do_something():
for i in range(1000000):
pass
print "play game"
结果如下:
decorator
可以看出, 这里的do_something并没有调用, 但是却打印了decorator, 可wrapper没有打印出来。也就是说decorator是在do_something调用的时候执行的。(由于没有写do_something(),所以没有调用这个函数)
2 返回可执行的对象
import time
def decorator(fun):
print "decorator"
def wrapper():
print "wrapper"
start = time.time()
fun()
runtime = time.time()-start
print runtime
return None
@decorator
def do_something():
for i in range(1000000):
pass
print "play game"
do_something()
结果如下:
decoratorTraceback (most recent call last):
File "deco.py", line 17, in <module>
do_something()
TypeError: 'NoneType' object is not callable
3 兼容函数f的参数
import time
def decorator(fun):
print "decorator"
def wrapper():
print "wrapper"
start = time.time()
fun()
runtime = time.time()-start
print runtime
return wrapper
@decorator
def do_something(name):
for i in range(1000000):
pass
print "play game"
do_something("san guo sha")
结果如下:
http://blog.youkuaiyun.com/TangHuanan/article/details/45094497
太多,不写了