python multithreading lock acquire and release

lock_acquire_and_release.py

if __name__ == '__main__':
    lock = threading.Lock()

    def watch(num):
        while True:
            sleep(random.randint(0,5))
            acquired = lock.acquire(blocking=False)
            if acquired:
                print('\n')
                print(num, 'acquired lock')
                sleep(random.randint(0,5))
                lock.release()
            else:
                print(num, 'did not acquire lock')
                sleep(random.randint(0,5))


    with ThreadPoolExecutor(max_workers=10) as ex:
        for worker in range(5):
            ex.submit(watch, worker)