python在多处理中共享dict（）中共享队列（）

Question

我刚刚学会了python多处理。我想制作一个模型来模拟在网络中发送和接收消息的过程。有向图描述了两个节点之间的关系，而一个字典描述了两个节点之间的通信。该字典的值的数据类型是队列。但是，我遇到了一些错误：

from concurrent.futures import ProcessPoolExecutor 
from multiprocessing import Manager 

PoolGroup=[('R1','R2','R3'),('N1','N2','N3'),('E1','E2','E3')] 
PoolElement=['R1','R2','R3','N1','N2','N3','E1','E2','E3'] 
graph={'R1':['N1','N2','N3'], 
    'R2':['N1','N2','N3'], 
    'R3':['N1','N2','N3'], 
    'N1':['E1','E2','E3'], 
    'N2':['E1','E2','E3'], 
    'N3':['E1','E2','E3'], 
    'E1':[], 
    'E2':[], 
    'E3':[]} 

def addSigal(target,information): 
    AllQueue[target].put(information) 
    print("Succeed in sending msg to "+target) 
    print(target+' now has ',AllQueue[target].qsize(),' signals') 


def pool1function(name,information): 
    targetlist=list(graph[name]) 
    print(name+" send information to "+str(targetlist))    
    with ProcessPoolExecutor() as pool1: 
     pool1.map(addSigal,targetlist,[information]*3) 


if __name__=='__main__': 
    m=Manager() 
    AllQueue=m.dict() 
    AllQueue.update({PE:m.Queue() for PE in PoolElement}) 
    with ProcessPoolExecutor() as pool:  
     pool.map(pool1function,PoolGroup[0],[1,2,3]) 

不幸的是，结果刚刚出现：

R1 send information to ['N1', 'N2', 'N3'] 
R2 send information to ['N1', 'N2', 'N3'] 
R3 send information to ['N1', 'N2', 'N3'] 

这意味着信息不被发送到相应的节点。所以，我检查AllQueue并发现了一些奇怪的：当我打印AllQueue [“R1”]，它表明：

RemoteError: 
--------------------------------------------------------------------------- 
Unserializable message: ('#RETURN', <queue.Queue object at 0x10edd8dd8>) 
--------------------------------------------------------------------------- 

我还没有把或AllQueue [“R1”]获得元素，有什么问题呢？

Answer 1

这是通过字典中的任务的例子：

from concurrent.futures import ProcessPoolExecutor 
from multiprocessing import Manager 


def addSigal(target, information, q): 
    print(target,information,q) 
    q[target]=(information) 
    print("Succeed in sending msg to "+target) 
    print(target+' now has ',q[target]) 


if __name__=='__main__': 
    m = Manager() 
    AllQueue = m.dict() 
    AllQueue.update({'A':0,'B':1}) 
    with ProcessPoolExecutor() as pool: 
     pool.map(addSigal,'AB', [1, 2],[AllQueue,AllQueue]) 
    print(AllQueue)