例如:
import os
os.system(r"start E:\TX\qq.exe")
或者
os.system('start python test.py ')
在前面的例子里学习了并发地执行多个协程来下载图片,也许其中一个协程永远下载不了,一直阻塞,这时怎么办呢?
碰到这种需求时不要惊慌,可以使用wait()里的timeout参数来设置等待时间,也就是从这个函数开始运行算起,如果时间到达协程没有执行完成,就可以不再等它们了,直接从wait()函数里返回,返回之后就可以判断那些没有执行成功的,可以把这些协程取消掉。例子如下:
[python] view plain copy
import asyncio
async def phase(i):
print('in phase {}'.format(i))
try:
await asyncio.sleep(0.1 * i)
except asyncio.CancelledError:
print('phase {} canceled'.format(i))
raise
else:
print('done with phase {}'.format(i))
return 'phase {} result'.format(i)
async def main(num_phases):
print('starting main')
phases = [
phase(i)
for i in range(num_phases)
]
print('waiting 0.1 for phases to complete')
completed, pending = await asyncio.wait(phases, timeout=0.1)
print('{} completed and {} pending'.format(
len(completed), len(pending),
))
# Cancel remaining tasks so they do not generate errors
# as we exit without finishing them.
if pending:
print('canceling tasks')
for t in pending:
t.cancel()
print('exiting main')
event_loop = asyncio.get_event_loop()
try:
event_loop.run_until_complete(main(3))
finally:
event_loop.close()
结果输出如下:starting main
waiting 0.1 for phases to complete
in phase 0
in phase 2
in phase 1
done with phase 0
1 completed and 2 pending
canceling tasks
exiting main
phase 1 canceled
phase 2 canceled
setblocking(0)之后就是非阻塞的。 select模块只是说能够同时处理多个socket,至于这些socket是阻塞还是非阻塞,都没有关系。当然从性能上考虑,现在的趋势是select+非阻塞。欢迎分享,转载请注明来源:内存溢出
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