python--再看并发之协程线程进程

标签：join   线程进程   mat   threading   def   async   文件   print   tar   

多线程进行文件复制

import threading
import asyncio
import time
def copy(src,tar):
    print('{} start...'.format(threading.current_thread().name))
    with open(src,'rb') as binFileInputStream:
        with open(tar,'wb') as binFileOutputStream:
            binFileOutputStream.write(binFileInputStream.read())
    time.sleep(10)
    print('{} end...'.format(threading.current_thread().name))
    
threads = []
args = [('./test.py','./hella.py'),('./diabetes.csv','./diabetes.py')]
for i,arg in enumerate(args):
    t = threading.Thread(target=copy,args=arg,name='thread-{}'.format(i))
    threads.append(t)
for thread in threads:
    thread.start()
    
for thread in threads:
    thread.join()

python--再看并发之协程线程进程

标签：join   线程进程   mat   threading   def   async   文件   print   tar   

原文地址：https://www.cnblogs.com/Frank99/p/9831622.html