threading.RLock

threading.RLock是Python中的可重入锁（Reentrant Lock）。可重入锁是一种线程同步机制，它允许同一线程多次获得锁，而不会造成死锁。与普通的Lock对象不同，当同一线程多次调用acquire()方法获得RLock对象时，需要相应地多次调用release()方法才能释放锁。

RLock的主要作用是保证对共享资源的安全访问。在多线程环境下，当多个线程需要同时访问一个资源时，使用RLock可以确保只有一个线程能够访问资源，而其他线程需要等待该线程释放锁后才能继续执行。

与Lock对象相比，RLock的优势在于，同一线程可以多次调用acquire()方法，而无需考虑死锁的发生。这对于一些复杂的线程交互场景非常有用。

相关问题

import threading from threading import Thread,Timer class LinkReal(): #global datas datas = [] datareceive = None t = None @staticmethod def start(): LinkReal.datareceive = Thread(target=LinkReal.startt()) LinkReal.datareceive.start() lock = threading.RLock() @staticmethod def startt(): LinkReal.t = Timer(3,LinkReal.save) while True: LinkReal.datas.append(1) @staticmethod def save(): #LinkReal.lock.acquire() datass = LinkReal.datas.copy() LinkReal.datas.clear() for d in datass: print(d) # 按间距中的绿色按钮以运行脚本。 if __name__ == '__main__': LinkReal.start() 我的这个代码中的save函数为什么不执行呢？

你的代码中，`save()` 函数没有被执行是因为 `Timer` 对象的 `start()` 方法没有被调用。在 `startt()` 函数中，你需要手动调用 `t.start()` 启动计时器，才能触发 `save()` 函数的执行。

修改代码如下：

import threading
from threading import Thread,Timer

class LinkReal():
    #global datas
    datas = []
    datareceive = None
    t = None
    
    @staticmethod
    def start():
        LinkReal.datareceive = Thread(target=LinkReal.startt())
        LinkReal.datareceive.start()
    
    lock = threading.RLock()
    
    @staticmethod
    def startt():
        LinkReal.t = Timer(3,LinkReal.save)
        LinkReal.t.start()  # 启动计时器
        while True:
            LinkReal.datas.append(1)
    
    @staticmethod
    def save():
        #LinkReal.lock.acquire()
        datass = LinkReal.datas.copy()
        LinkReal.datas.clear()
        for d in datass:
            print(d)

if __name__ == '__main__':
    LinkReal.start()

注意，`Timer` 对象只会在第一次执行完毕后自动重启，因此在 `save()` 函数中需要手动创建并启动新的计时器对象以实现循环执行。

TypeError: can't pickle _thread.RLock objects

This error occurs when attempting to pickle an object that contains a `_thread.RLock` object.

Pickle is a Python module that is used to serialize and deserialize Python objects. It allows you to convert a Python object into a stream of bytes that can be transmitted over a network or saved to a file.

However, there are certain objects that cannot be pickled, and `_thread.RLock` is one of them. This object is used for thread synchronization and cannot be serialized or deserialized.

To solve this error, you can try to remove the `_thread.RLock` object from the object you are trying to pickle. Alternatively, you can use a different synchronization object that can be pickled, such as a `threading.Lock` object.