In-process Manager () for multi-process data sharing and delivery

__author__ = "Alex Li"

From multiprocessing import Process, Manager
Import OS
def f (D, L):
    D[os.getpid ()] =os.getpid ()
    L.append (Os.getpid ())
    Print (L)

if __name__ = = ' __main__ ':
    With manager () as manager:
        D = manager.dict () #{} #生成一个字典 that can be shared and delivered across multiple processes

        L = manager.list (range (5)) #生成一个列表 that can be shared and delivered across multiple processes
        P_list = []
        For I in range (10):
            p = Process (Target=f, args= (d, L))
            P.start ()
            P_list.append (P)
        For res in p_list: #等待结果
            Res.join ()

        Print (d)
        Print (L)


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Manager () acts as a translator between processes, and if there are 10 processes, there will be 10 identical data for multiple inter-process sharing and delivery

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Manager in Process () for multi-process data sharing and delivery