python - 如何从多处理中收集结果？

Question

我的 python 代码有问题。我想要的是每个进程都写在一本字典中。我得到的是每个进程都写入自己的字典。

明确一点:运行代码后:我得到这个输出:

P 0: {0: 1}
P 2: {2: 1}
P 4: {4: 1}
P 6: {6: 1}
P 8: {8: 1}
All: {}

我想要的是:

P 0: {0: 1}
P 2: {2: 1}
P 4: {4: 1}
P 6: {6: 1}
P 8: {8: 1}
All: {0: 1, 2: 1, 4: 1, 6: 1, 8: 1}

这是我的示例代码:

from multiprocessing import Process, Lock, cpu_count

class multiprocessingExample():

    global d
    d = {}
    global lock
    lock = Lock()

    def __init__(self):
        pass

    def proc(self, num):

            global lock
            global d
            with lock:
                if(num in d):
                    d[num] = d[num] + 1
                else:
                    d[num] = 1
                print("P " + str(num) + ": " + str(d))

    def main(self):
        jobs = []

        for i in range(0, 10):
            if(i%2 == 0):
                p = Process(target=self.proc, args=(i,))
                jobs.append(p)

        for job in jobs:
            job.start()

        for job in jobs:
            job.join()

        print("All: " + str(d))

obj = multiprocessingExample()
obj.main()

如果你能告诉我哪里出了问题，那就太好了。

Answer 1

不要使用全局，使用 Manager.dict :

from multiprocessing import Process, Lock, Manager


class multiprocessingExample():
    def __init__(self):
        self.m = Manager()
        self.d = self.m.dict()
        self.lock = Lock()

    def proc(self, num):
        with self.lock:
            if (num in self.d):
                self.d[num] = d[num] + 1
            else:
                self.d[num] = 1
            print("P " + str(num) + ": " + str(self.d))   
    def main(self):
        jobs = []
            for i in range(0, 10):
            if (i % 2 == 0):
                p = Process(target=self.proc, args=(i,))
                jobs.append(p)    

        for job in jobs:
            job.start()    
        for job in jobs:
            job.join()    
        print("All: " + str(self.d))


obj = multiprocessingExample()
obj.main()

这将输出如下内容:

P 0: {0: 1}
P 2: {0: 1, 2: 1}
P 4: {0: 1, 2: 1, 4: 1}
P 8: {0: 1, 8: 1, 2: 1, 4: 1}
P 6: {0: 1, 8: 1, 2: 1, 4: 1, 6: 1}
All: {0: 1, 8: 1, 2: 1, 4: 1, 6: 1}