python多進程編程

最近開始學習PYTHON編程語言，詳細參照《python絕技運用Python成爲頂級***》。在學習過程第一章節中，編寫破解LINUX shadow文件時，想利用多線程加快破解速度。主機運行環境爲WINDOWS下的VM WORKSTATION上的一臺虛擬機，運行多線程代碼後並沒有任何速度上的提高，而且常常伴隨輸出混亂，不知因此然。故仍是利用多進程編寫了一個簡單的腳本文件，代碼以下：

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()

運行效率比多線程要快不少