修改多处理池的管理器字典中的列表

Modify a list in Multiprocessing pool's manager dict

我有一个元素列表,我正在多处理 apply_async 任务中处理这些元素,并使用管理器字典中的一个键逐一更新处理的元素,我想在其上映射整个列表。

我尝试了以下代码:

#!/usr/bin/python

from multiprocessing import Pool, Manager

def spammer_task(d, my_list):
    #Initialize manager dict
    d['task'] = {
        'processed_list': []
    }

    for ele in my_list:
        #process here
        d['task']['processed_list'].append(ele)

    return

p = Pool()
m = Manager()
d = m.dict()

my_list = ["one", "two", "three"]

p.apply_async(spammer_task (d, my_list))
print d

最后它只是在字典中发布空列表。 输出:

{'task': {'processed_list': []}}

现在,经过一番研究,我了解到 manager dict 中的元素变得不可变,因此您必须使用新数据重新初始化整个 dict 才能更新它。所以我尝试了下面的代码,但它给出了一个奇怪的错误。

#!/usr/bin/python

from multiprocessing import Pool, Manager

def spammer_task(d, my_list):
    #Initialize manager dict
    d['task'] = {
        'processed_list': []
    }

    for ele in my_list:
        #process here
        old_list = d['task']['processed_list']
        new_list = old_list.append(ele)
        #Have to do it this way since elements inside a manager dict become
        #immutable so
        d['task'] = {
            'processed_list': new_list
        }

    return

p = Pool()
m = Manager()
d = m.dict()

my_list = ["one", "two", "three"]

p.apply_async(spammer_task (d, my_list))
print d

输出:

Traceback (most recent call last): File "./a.py", line 29, in p.apply_async(spammer_task (d, my_list)) File "./a.py", line 14, in spammer_task new_list = old_list.append(ele) AttributeError: 'NoneType' object has no attribute 'append'

它似乎以某种方式将 None 附加到列表中,但我不明白为什么。

根据 https://bugs.python.org/issue6766

的解决方案

下面的代码通过复制整个任务字典然后修改它并复制它来修复它

#!/usr/bin/python

from multiprocessing import Pool, Manager

def spammer_task(d, my_list):
    #Initialize manager dict
    d['task'] = {
        'processed_list': []
    }

    for ele in my_list:
        #process here
        foo = d['task']
        foo['processed_list'].append(ele)
        d['task'] = foo
    return

p = Pool()
m = Manager()
d = m.dict()

my_list = ["one", "two", "three"]

p.apply_async(spammer_task (d, my_list))
print d

输出:

{'task': {'processed_list': ['one', 'two', 'three']}}

除了确保 d 在打印时确实包含某些内容外,结果仍然是 {'task': {'processed_list': ['one', 'two', 'three']}}

#!/usr/bin/python

from multiprocessing import Pool

def spammer_task(my_list):
    #Initialize manager dict
    out= {
        'processed_list': []
    }

    for ele in my_list:
        #process here
        out['processed_list'].append(ele)

    return 'task',out



my_list = ["one", "two", "three"]

if __name__=="__main__":

    p = Pool()
    d=dict(p.imap_unordered(spammer_task, [my_list])) #this line blocks until finished
    print d