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python多进程编程
最近开始学习PYTHON编程语言,详细参照《python绝技运用Python成为顶级黑客》。在学习过程第一章节中,编写破解LINUX shadow文件时,想利用多线程加快破解速度。主机运行环境为WINDOWS下的VM WORKSTATION上的一台虚拟机,运行多线程代码后并无任何速度上的提升,并且经常伴随输出混乱,不知所以然。故还是利用多进程编写了一个简单的脚本文件,代码如下:
import crypt
import multiprocessing
import time
import sys
def check(passwd):
cryptWord=crypt.crypt(passwd.strip(‘\n‘),salt.strip(‘\n‘))
if cryptWord==linuxWord:
print "password is : "+passwd
print "harked,time now is :"+currtime()
else:
pass
def worker(q):
while not q.empty():
passwd =q.get()
try:
check(passwd)
finally:
q.task_done()
def currtime():
return time.ctime()
def txtToArray(DesFilePath):
desDic=open(DesFilePath,‘r‘)
passwdlist=[]
for line in desDic.readlines():
passwdlist.append(line)
return passwdlist
if __name__==‘__main__‘:
global salt,linuxWord
print "start time is :"+currtime()
q=multiprocessing.JoinableQueue()
linuxWord="$6$9CfIODlW$c34lcX4eYVCD9Kyer3kQLcM6o8Q7uryUroT/K0WVSnnqxtGbPJGDRGymJy4gVMnYgLUjc1J5wVEkrm/jxsQ.i"
salt="$6$9CfIODl$"
DesFilePath="/script/1/1.15/password.txt"
passwdlist=txtToArray(DesFilePath)
map(q.put,passwdlist)
jobs=[multiprocessing.Process(target=worker,args=(q,)) for i in xrange(10)]
map(lambda x:x.start(),jobs)
q.join()
print "end time is :"+currtime()
运行效率比多线程要快很多
python多进程编程