Python线程协作threading.Condition实现过程解析
领会下面这个示例吧,其实跟java中wait/nofity是一样一样的道理
import threading
# 条件变量,用于复杂的线程间同步锁
"""
需求:
男:小姐姐,你好呀!
女:哼,想泡老娘不成?
男:对呀,想泡你
女:滚蛋,门都没有!
男:切,长这么丑, 还这么吊...
女:关你鸟事!
"""
class Boy(threading.Thread):
def __init__(self, name, condition):
super().__init__(name=name)
self.condition = condition
def run(self):
with self.condition:
print("{}:小姐姐,你好呀!".format(self.name))
self.condition.wait()
self.condition.notify()
print("{}:对呀,想泡你".format(self.name))
self.condition.wait()
self.condition.notify()
print("{}:切,长这么丑, 还这么吊...".format(self.name))
self.condition.wait()
self.condition.notify()
class Girl(threading.Thread):
def __init__(self, name, condition):
super().__init__(name=name)
self.condition = condition
def run(self):
with self.condition:
print("{}:哼,想泡老娘不成?".format(self.name))
self.condition.notify()
self.condition.wait()
print("{}:滚蛋,门都没有!".format(self.name))
self.condition.notify()
self.condition.wait()
print("{}:关你鸟事!".format(self.name))
self.condition.notify()
self.condition.wait()
if __name__ == '__main__':
condition = threading.Condition()
boy_thread = Boy('男', condition)
girl_thread = Girl('女', condition)
boy_thread.start()
girl_thread.start()
Condition的底层实现了__enter__和 __exit__协议.所以可以使用with上下文管理器
由Condition的__init__方法可知,它的底层也是维护了一个RLock锁
def __enter__(self):
return self._lock.__enter__()
def __exit__(self, *args):
return self._lock.__exit__(*args)
def __exit__(self, t, v, tb):
self.release()
def release(self):
"""Release a lock, decrementing the recursion level.
If after the decrement it is zero, reset the lock to unlocked (not owned
by any thread), and if any other threads are blocked waiting for the
lock to become unlocked, allow exactly one of them to proceed. If after
the decrement the recursion level is still nonzero, the lock remains
locked and owned by the calling thread.
Only call this method when the calling thread owns the lock. A
RuntimeError is raised if this method is called when the lock is
unlocked.
There is no return value.
"""
if self._owner != get_ident():
raise RuntimeError("cannot release un-acquired lock")
self._count = count = self._count - 1
if not count:
self._owner = None
self._block.release()
至于wait/notify是如何操作的,还是有点懵.....
wait()方法源码中这样三行代码
waiter = _allocate_lock() #从底层获取了一把锁,并非Lock锁
waiter.acquire()
self._waiters.append(waiter) # 然后将这个锁加入到_waiters(deque)中
saved_state = self._release_save() # 这是释放__enter__时的那把锁???
notify()方法源码
all_waiters = self._waiters
waiters_to_notify = _deque(_islice(all_waiters, n))# 从_waiters中取出n个
if not waiters_to_notify: # 如果是None,结束
return
for waiter in waiters_to_notify: # 循环release
waiter.release()
try:
all_waiters.remove(waiter) #从_waiters中移除
except ValueError:
pass
大体意思: wait先从底层创建锁,acquire, 放到一个deque中,然后释放掉with锁, notify时,从deque取拿出锁,release
以上就是本文的全部内容,希望对大家的学习有所帮助,也希望大家多多支持脚本之家。
相关文章
Python使用ThreadPoolExecutor一次开启多个线程
通过使用ThreadPoolExecutor,您可以同时开启多个线程,从而提高程序的并发性能,本文就来介绍一下Python使用ThreadPoolExecutor一次开启多个线程,感兴趣的可以了解一下2023-11-11
nx.adjacency_matrix计算邻接矩阵与真实结果不一致的解决
这篇文章主要介绍了nx.adjacency_matrix计算邻接矩阵与真实结果不一致的解决方案,具有很好的参考价值,希望对大家有所帮助。如有错误或未考虑完全的地方,望不吝赐教2022-12-12
python统计mysql数据量变化并调用接口告警的示例代码
这篇文章主要介绍了python统计mysql数据量变化并调用接口告警的示例代码,帮助大家更好的利用python操作数据库,感兴趣的朋友可以了解下2020-09-09
python 内置库wsgiref的使用(WSGI基础入门)
WSGI(web服务器网关接口)主要规定了服务器端和应用程序之间的接口,即规定了请求的URL到后台处理函数之间的映射该如何实现。wsgiref是一个帮助开发者开发测试的Python内置库,程序员可以通过这个库了解WSGI的基本运行原理,但是不能把它用在生产环境上。2021-06-06


最新评论