我需要制作3个线程来打印信号量颜色:此顺序为红色,黄色和绿色,之后,每个胎面必须随机睡眠N秒。必须为一个线程打印每种颜色,并且所有这些过程必须重复N次。
我已经尝试将lock.acquire()和lock.release()移出for循环但是不起作用=(
from termcolor import colored
import threading
import time
from random import randrange
def threadRed(n, lock, tempo):
for i in range(n):
lock.acquire()
print(colored("red", 'grey', 'on_red', attrs=['dark', 'bold']))
print(colored("I'm going to sleep for %d seconds," % tempo, 'red'))
time.sleep(tempo)
lock.release()
def threadYellow(n, lock, tempo):
for i in range(n):
lock.acquire()
print(colored("yellow", 'grey', 'on_yellow', attrs=['dark', 'bold']))
print(colored("I'm going to sleep for %d seconds," % tempo, 'yellow'))
time.sleep(tempo)
lock.release()
def threadGreen(n, lock, tempo):
for i in range(n):
lock.acquire()
print(colored("green", 'grey', 'on_green', attrs=['dark', 'bold']))
print(colored("I'm going to sleep for %d seconds," % tempo, 'green'))
time.sleep(tempo)
lock.release()
lock = threading.Lock()
repeticoes = 5
tempo = randrange(1, 11)
t_red = threading.Thread(target=threadRed, args=(repeticoes, lock, tempo))
tempo = randrange(1, 11)
t_yellow = threading.Thread(target=threadYellow, args=(repeticoes, lock, tempo))
tempo = randrange(1, 11)
t_green = threading.Thread(target=threadGreen, args=(repeticoes, lock, tempo))
t_red.start()
t_yellow.start()
t_green.start()
t_red.join()
t_yellow.join()
t_green.join()
简单地说,我的代码是打印:
但我需要这个是显示的结果:
好的,你想要的输出会杀死multi-threading
的全部意义。
为什么?
线程有一个开头,一个执行序列和一个结论。它有一个指令指针,可以跟踪当前运行的上下文。
继续这一点,你的问题中的重点是同时运行多个线程,而不管function
首先执行的事实。
你在想的是:
无论哪个线程首先完成,都以顺序方式运行线程,这不是multi-threading
。在此之上,你在每个函数中使用lock.acquire() and lock.release()
将灵魂带出多线程
答:如果你真的希望线程以顺序方式运行,你不应该在函数内部获取和释放线程,
一点变化:
from termcolor import colored
import threading
import time
from random import randrange
def threadRed(n, tempo):
for i in range(n):
# lock.acquire()
print(colored("red", 'grey', 'on_red', attrs=['dark', 'bold']))
print(colored("I'm going to sleep for %d seconds," % tempo, 'red'))
time.sleep(tempo)
# lock.release()
def threadYellow(n, tempo):
for i in range(n):
# lock.acquire()
print(colored("yellow", 'grey', 'on_yellow', attrs=['dark', 'bold']))
print(colored("I'm going to sleep for %d seconds," % tempo, 'yellow'))
time.sleep(tempo)
# lock.release()
def threadGreen(n, tempo):
for i in range(n):
# lock.acquire()
print(colored("green", 'grey', 'on_green', attrs=['dark', 'bold']))
print(colored("I'm going to sleep for %d seconds," % tempo, 'green'))
time.sleep(tempo)
# lock.release()
lock = threading.Lock()
repeticoes = 5
lock.acquire()
tempo = randrange(1, 11)
t_red = threading.Thread(target=threadRed, args=(repeticoes, tempo))
tempo = randrange(1, 11)
t_yellow = threading.Thread(target=threadYellow, args=(repeticoes, tempo))
tempo = randrange(1, 11)
t_green = threading.Thread(target=threadGreen, args=(repeticoes, tempo))
lock.release()
t_red.start()
t_yellow.start()
t_green.start()
t_red.join()
t_yellow.join()
t_green.join()
OUTPUT:
red
I'm going to sleep for 6 seconds,
yellow
I'm going to sleep for 4 seconds,
green
I'm going to sleep for 4 seconds,
yellow
I'm going to sleep for 4 seconds,
green
I'm going to sleep for 4 seconds,
red
I'm going to sleep for 6 seconds,
yellow
I'm going to sleep for 4 seconds,
green
I'm going to sleep for 4 seconds,
red
I'm going to sleep for 6 seconds,
不要试图使用threading.Lock()
。 lock
对象仅用于互斥(即,防止两个或多个线程同时访问相同的数据。)它不用于线程之间的通信。
IMO,最好的方法是使用三个Semaphore
实例。 Python有一个类asyncio.Semaphore
,但我对它的文档中的“不是线程安全”这个词感到有些困惑。我从未使用过该类,但它看起来像其他语言库中的信号量,用于线程之间的信号传递。
信号量就像一个包含零个或多个许可证的阻塞队列。许可证是抽象的;他们实际上并不存在。信号量只是计算在任何给定时刻它应该“包含”多少个。
调用者可以尝试向acquire()
许可,这将减少计数并在计数大于零时立即返回,或者等到其他一些线程release()
s允许否则。
所以这是你如何使用它:
制作三个空信号量(count == 0),每个线程一个,并为每个线程提供对其自身信号量的引用,并且还为下一个线程的信号量提供引用。然后每个线程应该循环:
for i in range(n):
self.my_semaphore.acquire() # thread waits here until signalled.
print( ... )
self.next_guys_semaphore.release() # signals the next guy.
在主线程创建了三个信号量和三个工作线程之后,什么都不会发生,因为所有三个工作者都将在acquire()
中等待。那么,主线程需要做的最后一件事就是red_worker_semaphore.release()
,然后他们应该按照正确的顺序一个接一个地开始运行。
我做到了!
谢谢大家提示!但我使用threading.Lock()和threading.Event()重新编写我的所有代码并且工作正常!
from termcolor import colored
import threading
import time
from random import randrange
lock = threading.Lock()
event = threading.Event()
def printThread(color):
duration = randrange(1, 11)
print(colored(color, 'grey', 'on_'+color, attrs=['dark', 'bold']))
print(colored("I'm going sleep for %d seconds!," % duration, color))
time.sleep(duration)
def threadRed(n):
for i in range(n):
lock.acquire()
printThread("red")
lock.release()
event.set()
event.wait()
event.clear()
def threadYellow(n):
for i in range(n):
lock.acquire()
printThread("yellow")
lock.release()
event.set()
event.wait()
event.clear()
def threadGreen(n):
for i in range(n):
lock.acquire()
printThread("green")
lock.release()
event.set()
event.wait()
event.clear()
loop_count = 5
t_red = threading.Thread(target=threadRed, args=(loop_count,))
t_yellow = threading.Thread(target=threadYellow, args=(loop_count,))
t_green = threading.Thread(target=threadGreen, args=(loop_count,))
t_red.start()
t_yellow.start()
t_green.start()
t_red.join()
t_yellow.join()
t_green.join()
这是相同代码的另一个版本,但使用纯信号量,而不是事件
from termcolor import colored
import threading
import time
from random import randrange
semaforo1 = threading.Semaphore()
semaforo2 = threading.Semaphore()
semaforo3 = threading.Semaphore()
def printThread(color):
duration = randrange(1, 11)
print(colored(color, 'grey', 'on_'+color, attrs=['dark', 'bold']))
print(colored("I'm going sleep for %d seconds!," % duration, color))
time.sleep(duration)
def threadRed(n):
semaforo2.acquire()
semaforo3.acquire()
for i in range(n):
semaforo1.acquire()
printThread("red")
#semaforo1.release()
semaforo2.release()
def threadYellow(n):
for i in range(n):
semaforo2.acquire()
printThread("yellow")
semaforo3.release()
def threadGreen(n):
for i in range(n):
semaforo3.acquire()
printThread("green")
semaforo1.release()
loop_count = 5
t_red = threading.Thread(target=threadRed, args=(loop_count,))
t_yellow = threading.Thread(target=threadYellow, args=(loop_count,))
t_green = threading.Thread(target=threadGreen, args=(loop_count,))
t_red.start()
t_yellow.start()
t_green.start()
t_red.join()
t_yellow.join()
t_green.join()