python執行緒學習

#!/usr/bin/python

#coding:utf-8

import time

# threading 提供了乙個比thread模組更高層的api模組來提供執行緒的併發性。

# 下面表示乙個程式的執行(這個例子需要5秒才能執行完成效率並不是很好)

"""

def worker(i):

print 'worker%d'%i
time.sleep(1)
return
if __name__ == '__main__':
aa = time.time()
for x in xrange(5):
worker(x)
print time.time() - aa
# ############################
# 執行結果 ：
# >>>
# worker0
# worker1
# worker2
# worker3
# worker4
# 5.04699993134
# ################################

""""""

# 下面的例子的是使用多執行緒

import threading

def worker(i):
print 'worker%d'%i
time.sleep(1)
return
if __name__ == '__main__':
aa = time.time()
for x in xrange(5):
t = threading.thread(target=worker,args=(x,))   # target 是目標函式, args是傳來的引數(用的元祖的形式進行傳參)
t.start()
print time.time() - aa
#可以看到效率是很快的
# ############################
# 執行結果：
# worker0
# worker1
# worker2
# worker3
# worker4
# 0.000999927520752
# ############################

""""""

#2 threading.activecount()的使用，此方法返回當前程序中線程的個數。返回的個數中包含主線程

import threading

import time
def worker(i):
print 'worker%d'%i
time.sleep(i)
return
if __name__ == '__main__':
aa = time.time()
for i in xrange(6):
t = threading.thread(target=worker,args=(i,))
t.start()
print time.time() - aa
print u'執行緒總數',threading.activecount() - 1

""""""

# threading.enumerate()的使用。此方法返回當前執行中的thread物件列表

import threading
import time
def worker(i):
print 'worker%d'%i
time.sleep(1)
return
if __name__ == '__main__':
threads = 
for x in xrange(5):
t = threading.thread(target=worker,args=(x,))
t.start()
for item in threading.enumerate():
print item
print "#################"
for v in threads:
print v
""""""
# threading.setdaemon()的使用。設定後台程序。
def  worker(i):
time.sleep(1)
print 'worker%s'%str(i)
if __name__ == '__main__':
for i in xrange(5):
t= threading.thread(target=worker,args=(i,))
t.setdaemon(true)
t.start()
print 'haha'
"""

import threading , time

# 繼承執行緒函式
class mythread(threading.thread):
"""派生出的子執行緒 """
def __init__(self,func,args,name=''):
threading.thread.__init__(self)          #初始化基類
# 初始化函式
self.func = func
#初始化引數
self.args = args
#初始化名字
self.name = name
# 重新寫執行緒的run函式
def  run(self):
def  threads(nloop,nsec):
print 'start loop',nloop,'at',time.ctime()
time.sleep(nsec)
print 'loop',nloop,'done at',time.ctime()
def main():
print 'starting at',time.ctime()
ths = 
nloops = range(5)
#建立執行緒物件
for i in nloops:
t = mythread(threads,(i,i),threads.__name__)
# 啟動執行緒
for i in nloops:
ths[i].start()
#等待子執行緒結束
for i in nloops:
ths[i].join()
print 'all done at',time.ctime()
if __name__ == '__main__':
main()
# ############################
# >>>
# starting at tue dec 17 14:15:09 2013
# start loop 0 at tue dec 17 14:15:09 2013
# loop 0 done at tue dec 17 14:15:09 2013
# start loop 1 at tue dec 17 14:15:09 2013
# start loop 2 at tue dec 17 14:15:09 2013
# start loop 3 at tue dec 17 14:15:09 2013
# start loop 4 at tue dec 17 14:15:09 2013               上面標示執行緒同時進行了白哦是你應該開器了執行緒
# loop 1 done at tue dec 17 14:15:10 2013
# loop 2 done at tue dec 17 14:15:11 2013
# loop 3 done at tue dec 17 14:15:12 2013
# loop 4 done at tue dec 17 14:15:13 2013
# all done at tue dec 17 14:15:13 2013
# ############################

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