python decorator
1.常用方法,不带参数
def decator(func):
def inner_func(*args):
args = (i * 2 for i in args)
return func(*args)
return inner_func
@decator
def add(a, b, c):
return a + b + c
2.带参数:
class Dec(object):
def __init__(self, i):
self.i = i
def __call__(self, func):
def inner_func(a, b, c):
return self.i * func(a, b, c)
return inner_func
@Dec(2)
def abc(x, y, z):
print "function abc"
print (x, y, z)
return x + y + z
相关文档:
Python代码
import string, os, sys
dir = '/var'
print '----------- no sub dir'
files = os.listdir(dir)
for f in files:
......
1.可执行程序
os.system('pgrep %s > %s' % (process, output))
pidfile = open("output", 'r')
totalpid = len(pidfile.readlines())
pidfile.close()
if totalpid == 0 :
&nbs ......
8.8. queue — A synchronized queue class¶
queue -- 一个同步队列类
The queue module implements multi-producer, multi-consumer queues. It is especially useful in threaded programming when information must be exchanged safely between multiple threads. The Queue class in this module implemen ......
前一段时间试着用这三种语言简单的写了关于文件拷贝的程序,发现c#和python的api惊人的相似,对于文件的操作这两种语言非常的方便。都没有加异常的处理
C#源代码:
public static void CopyFile(string source, string destination)
& ......
multiprocessing — Process-based “threading” interface
Introduction
multiprocessing is a package that supports spawning processes using an API similar to the threading module. The multiprocessing package offers both local and remote concurrency, effectively side-stepping the Glo ......