在做机器学习很多时候浪费时间到了数据处理上面, 现在实现了一个python多线程的程序,希望这个框架能够用于数据处理阶段多线程的运行
#coding=utf-8
import threading
from time import ctime,sleep
tasklist = [1,2,3,4,5,6,7,8,9,10]
tasklist = tasklist*3
thread_num = 5
def runtask(taskid):
print("I was runing task %d" %(taskid))
sleep(5)
thread_list = []
if __name__ == '__main__':
task_num = len(tasklist)
task_index = 0
thread_count = 0
print ctime()
while True:
if task_index < task_num and thread_count < thread_num:
t = threading.Thread(target= runtask, args=(tasklist[task_index],))
t.setDaemon(True)
t.start()
thread_list.append(t)
task_index += 1
thread_count += 1
for t in thread_list:
if not t.isAlive():
thread_list.remove(t)
thread_count -= 1
if task_index == task_num and thread_list == []:
break
print ctime()
print("Finsh all threads!")