Python：特定于线程的次数

我有以下代码，它使用

线程

并打印当前计数

import threading

count = 0
def worker():
    """thread worker function"""
    global count
    count += 1
    print(count)

threads = []
for i in range(5):
    t = threading.Thread(target=worker)
    threads.append(t)
    t.start()

---

它当前设置为5个线程。我怎样才能让它继续运行线程，直到达到某个#。i、 e.以5个线程运行，直到

worker（）

运行100次。

只需执行while循环，但要用锁保护计数器和测试，否则测试的值将与刚才增加的值不同

我已经添加了线程id，所以我们可以看到哪个线程实际上在增加计数器

另外：先检查，后增加

然后等待最后的线程

import threading

lck = threading.Lock()

count = 0
def worker():
    global count
    """thread worker function"""
    while True:
        lck.acquire()
        if count==100:
            lck.release()
            break
        count += 1
        print(threading.current_thread() ,count)
        lck.release()

threads = []
for i in range(5):
    t = threading.Thread(target=worker)
    threads.append(t)
    t.start()

for t in threads:
    t.join()

结果:

(<Thread(Thread-1, started 5868)>, 1)
(<Thread(Thread-2, started 7152)>, 2)
(<Thread(Thread-3, started 6348)>, 3)
(<Thread(Thread-4, started 6056)>, 4)
(<Thread(Thread-1, started 5868)>, 5)
(<Thread(Thread-5, started 5748)>, 6)
(<Thread(Thread-2, started 7152)>, 7)
(<Thread(Thread-3, started 6348)>, 8)
(<Thread(Thread-4, started 6056)>, 9)
(<Thread(Thread-1, started 5868)>, 10)
(<Thread(Thread-5, started 5748)>, 11)
(<Thread(Thread-2, started 7152)>, 12)
(<Thread(Thread-3, started 6348)>, 13)
(<Thread(Thread-4, started 6056)>, 14)
(<Thread(Thread-1, started 5868)>, 15)
(<Thread(Thread-5, started 5748)>, 16)
(<Thread(Thread-2, started 7152)>, 17)
(<Thread(Thread-3, started 6348)>, 18)
(<Thread(Thread-4, started 6056)>, 19)
(<Thread(Thread-1, started 5868)>, 20)
(<Thread(Thread-5, started 5748)>, 21)
(<Thread(Thread-2, started 7152)>, 22)
(<Thread(Thread-3, started 6348)>, 23)
(<Thread(Thread-4, started 6056)>, 24)
(<Thread(Thread-1, started 5868)>, 25)
(<Thread(Thread-5, started 5748)>, 26)
(<Thread(Thread-2, started 7152)>, 27)
(<Thread(Thread-3, started 6348)>, 28)
(<Thread(Thread-4, started 6056)>, 29)
(<Thread(Thread-1, started 5868)>, 30)
(<Thread(Thread-5, started 5748)>, 31)
(<Thread(Thread-2, started 7152)>, 32)
(<Thread(Thread-3, started 6348)>, 33)
(<Thread(Thread-4, started 6056)>, 34)
(<Thread(Thread-1, started 5868)>, 35)
(<Thread(Thread-5, started 5748)>, 36)
(<Thread(Thread-2, started 7152)>, 37)
(<Thread(Thread-3, started 6348)>, 38)
(<Thread(Thread-4, started 6056)>, 39)
(<Thread(Thread-1, started 5868)>, 40)
(<Thread(Thread-5, started 5748)>, 41)
(<Thread(Thread-2, started 7152)>, 42)
(<Thread(Thread-3, started 6348)>, 43)
(<Thread(Thread-4, started 6056)>, 44)
(<Thread(Thread-1, started 5868)>, 45)
(<Thread(Thread-5, started 5748)>, 46)
(<Thread(Thread-2, started 7152)>, 47)
(<Thread(Thread-3, started 6348)>, 48)
(<Thread(Thread-4, started 6056)>, 49)
(<Thread(Thread-1, started 5868)>, 50)
(<Thread(Thread-5, started 5748)>, 51)
(<Thread(Thread-2, started 7152)>, 52)
(<Thread(Thread-3, started 6348)>, 53)
(<Thread(Thread-4, started 6056)>, 54)
(<Thread(Thread-1, started 5868)>, 55)
(<Thread(Thread-5, started 5748)>, 56)
(<Thread(Thread-2, started 7152)>, 57)
(<Thread(Thread-3, started 6348)>, 58)
(<Thread(Thread-4, started 6056)>, 59)
(<Thread(Thread-1, started 5868)>, 60)
(<Thread(Thread-5, started 5748)>, 61)
(<Thread(Thread-2, started 7152)>, 62)
(<Thread(Thread-3, started 6348)>, 63)
(<Thread(Thread-4, started 6056)>, 64)
(<Thread(Thread-1, started 5868)>, 65)
(<Thread(Thread-5, started 5748)>, 66)
(<Thread(Thread-2, started 7152)>, 67)
(<Thread(Thread-3, started 6348)>, 68)
(<Thread(Thread-4, started 6056)>, 69)
(<Thread(Thread-1, started 5868)>, 70)
(<Thread(Thread-5, started 5748)>, 71)
(<Thread(Thread-2, started 7152)>, 72)
(<Thread(Thread-3, started 6348)>, 73)
(<Thread(Thread-4, started 6056)>, 74)
(<Thread(Thread-1, started 5868)>, 75)
(<Thread(Thread-5, started 5748)>, 76)
(<Thread(Thread-2, started 7152)>, 77)
(<Thread(Thread-3, started 6348)>, 78)
(<Thread(Thread-4, started 6056)>, 79)
(<Thread(Thread-1, started 5868)>, 80)
(<Thread(Thread-5, started 5748)>, 81)
(<Thread(Thread-2, started 7152)>, 82)
(<Thread(Thread-3, started 6348)>, 83)
(<Thread(Thread-4, started 6056)>, 84)
(<Thread(Thread-1, started 5868)>, 85)
(<Thread(Thread-5, started 5748)>, 86)
(<Thread(Thread-2, started 7152)>, 87)
(<Thread(Thread-3, started 6348)>, 88)
(<Thread(Thread-4, started 6056)>, 89)
(<Thread(Thread-1, started 5868)>, 90)
(<Thread(Thread-5, started 5748)>, 91)
(<Thread(Thread-2, started 7152)>, 92)
(<Thread(Thread-3, started 6348)>, 93)
(<Thread(Thread-4, started 6056)>, 94)
(<Thread(Thread-1, started 5868)>, 95)
(<Thread(Thread-5, started 5748)>, 96)
(<Thread(Thread-2, started 7152)>, 97)
(<Thread(Thread-3, started 6348)>, 98)
(<Thread(Thread-4, started 6056)>, 99)
(<Thread(Thread-1, started 5868)>, 100)

（，1）
(, 2)
(, 3)
(, 4)
(, 5)
(, 6)
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(, 8)
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(, 66)
(, 67)
(, 68)
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(, 97)
(, 98)
(, 99)
(, 100)

当然可以循环

lock = threading.Lock()
count = 0
def worker():
    """thread worker function"""
    global count
    while True:
        with lock:
            if count >= 100: break
            count += 1
            print(count)

---

请注意使用

threading.Lock对
count
的受保护访问；依靠是粗略的。
老实说，如果你想要这样的东西，那就意味着你走错了方向。因为这段代码是有状态的，
stateful
和
stateful
处理与真正的并行执行相去甚远。
另外，如果您想在python中并行执行代码，通常需要使用模块

因此，基本上，如果您的目标是总共勾选100次，那么最好以无状态方式重写代码：

import multiprocessing as mp

def worker_1(x):
  for i in range(x)
      print i

def worker_2(y):
   print y

if __name__ == '__main__':
  p = mp.Pool(5)

  for x in p.pool(worker_1, [25, 25, 25, 25]):
     // process result
     pass

  for y in p.pool(worker_2, range(100)):
     // process result
     pass