我有一个应用程序需要在给定相同随机种子的情况下获得相同的结果。但我发现 random.randint 不是线程安全的。我试过 mutex 但这不起作用。这是我的实验代码(长而简单):
import threading
import random
def child(n, a):
g_mutex = threading.Lock()
g_mutex.acquire()
random.seed(n)
for i in xrange(100):
a.append(random.randint(0, 1000))
g_mutex.release()
def main():
a = []
b = []
c1 = threading.Thread(target = child, args = (10, a))
c2 = threading.Thread(target = child, args = (20, b))
c1.start()
c2.start()
c1.join()
c2.join()
c = []
d = []
c1 = threading.Thread(target = child, args = (10, c))
c2 = threading.Thread(target = child, args = (20, d))
c1.start()
c1.join()
c2.start()
c2.join()
print a == c, b == d
if __name__ == "__main__":
main()
我想编写代码打印true, true,但它有机会给出false, false。如何制作线程安全的 randint?
最佳答案
您可以为每个线程创建单独的 random.Random
实例
>>> import random
>>> local_random = random.Random()
>>> local_random.seed(1234)
>>> local_random.randint(1,1000)
967
关于python - 在 Python 中使随机模块线程安全,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/10021882/