This article brings you a brief introduction to Timer objects, Lock objects and Rlock objects under Python threads. It has certain reference value. Friends in need can refer to it. I hope it will be helpful to you.
Timer object is used to execute a function at a later time.
t=Timer(interval,func,args,kwargs)
Create a timer object and run the function func after interval seconds. args and kwargs provide the parameters and keyword arguments passed to func.
The timer can be started only after calling the start() method.
t.start(): Start the timer.
t.cancal(): If the function has not been executed, cancel the timer.
The original lock (mutex lock) is a synchronization primitive and has two states: "Locked" and "Unlocked".
If the state is already locked, attempts to acquire the lock will block until the lock is released. If there are multiple threads waiting to acquire the lock, when the lock is released, only one thread acquires it, and the acquisition order is uncertain.
lock=Lock()
Create a new Lock object, the initial state is unlocked.
lock.acquire(blocking): Acquire the lock. If necessary, block until the lock is released.
If blocking is false, False will be returned immediately when the lock cannot be obtained, and True will be returned if the lock is successfully obtained.
lock.release(): Releases a lock. When the lock is in an unlocked state, or this method is called from a different thread from the thread that originally called the acquire() method, an error will be reported.
A reentrant lock is a synchronization primitive similar to the Lock object, but the same thread can acquire it multiple times.
It allows the thread that owns the lock to perform nested acquire() and release() operations. In this case, only the outermost Release() operation can reset the lock to the slightly unlocked state.
rlock=RLock()
Create a new reentrant lock object.
rlock.acquire(blocking): Acquire the lock. If necessary, block until the lock is released.
If no thread owns the lock, it will be locked, and the recursion level is set to 1.
If this thread already owns the lock, the lock's recursion level is increased by 1, and the function returns immediately.
rlock.release(): Releases the lock by reducing its recursion level. If the recursion level is 0 after decrement, the lock will be reset to the unlocked state. Otherwise, the lock will remain locked.
This method can only be called by the thread that currently owns the lock.
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Python multi-threading Synchronize Lock, RLock, Semaphore, and Event instances
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