use*_*183 11 python multithreading
对不起老问题.我澄清了.如何用我糟糕的线程类启动一个停止线程?
编辑:它在循环中,我想在代码的开头再次重新启动它.如何进行start-stop-restart-stop-restart?
我的课:
import threading
class Concur(threading.Thread):
def __init__(self):
self.stopped = False
threading.Thread.__init__(self)
def run(self):
i = 0
while not self.stopped:
time.sleep(1)
i = i + 1
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在主代码中,我想要:
inst = Concur()
while conditon:
inst.start()
#after some operation
inst.stop()
#some other operation
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mar*_*eau 15
您实际上无法停止然后重新启动线程,因为start()在run()方法终止后无法再次调用它.但是,您可以通过使用threading.Condition变量来停止并稍后恢复执行,以避免在检查或更改其运行状态时出现并发问题.
threading.Condition对象有一个关联的threading.Lock对象和方法来等待它被释放,并在发生时通知任何等待的线程.这是一个从您的问题中的代码派生的示例,它显示了这一点.在示例代码中,我将Condition变量作为Thread子类实例的一部分,以更好地封装实现,并避免需要引入其他全局变量:
from __future__ import print_function
import threading
import time
class Concur(threading.Thread):
def __init__(self):
super(Concur, self).__init__()
self.iterations = 0
self.daemon = True # Allow main to exit even if still running.
self.paused = True # Start out paused.
self.state = threading.Condition()
def run(self):
self.resume()
while True:
with self.state:
if self.paused:
self.state.wait() # Block execution until notified.
# Do stuff.
time.sleep(.1)
self.iterations += 1
def resume(self):
with self.state:
self.paused = False
self.state.notify() # Unblock self if waiting.
def pause(self):
with self.state:
self.paused = True # Block self.
class Stopwatch(object):
""" Simple class to measure elapsed times. """
def start(self):
""" Establish reference point for elapsed time measurements. """
self.start_time = time.time()
return self.start_time
@property
def elapsed_time(self):
""" Seconds since started. """
try:
start_time = self.start_time
except AttributeError: # Wasn't explicitly started.
start_time = self.start()
return time.time() - start_time
MAX_RUN_TIME = 5 # Seconds.
concur = Concur()
stopwatch = Stopwatch()
print('Running for {} seconds...'.format(MAX_RUN_TIME))
concur.start()
while stopwatch.elapsed_time < MAX_RUN_TIME:
concur.resume()
# ... do some concurrent operations.
concur.pause()
# Do some other stuff...
# Show Concur thread executed.
print('concur.iterations: {}'.format(concur.iterations))
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这是David Heffernan的想法充实.下面的示例运行1秒,然后停止1秒,然后运行1秒,依此类推.
import time
import threading
import datetime as DT
import logging
logger = logging.getLogger(__name__)
def worker(cond):
i = 0
while True:
with cond:
cond.wait()
logger.info(i)
time.sleep(0.01)
i += 1
logging.basicConfig(level=logging.DEBUG,
format='[%(asctime)s %(threadName)s] %(message)s',
datefmt='%H:%M:%S')
cond = threading.Condition()
t = threading.Thread(target=worker, args=(cond, ))
t.daemon = True
t.start()
start = DT.datetime.now()
while True:
now = DT.datetime.now()
if (now-start).total_seconds() > 60: break
if now.second % 2:
with cond:
cond.notify()
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的实现stop()如下所示:
def stop(self):
self.stopped = True
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如果您想重新启动,那么您只需创建一个新实例并启动它即可。
while conditon:
inst = Concur()
inst.start()
#after some operation
inst.stop()
#some other operation
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的文档Thread清楚地表明该方法只能为start()该类的每个实例调用一次。
如果您想暂停和恢复线程,那么您需要使用条件变量。