Python multi-process using function encapsulation

Tag:sys   append   python   children    execution     super    field    elf    method    

import multiprocessing as mpfrom multiprocessing import processclass  Myprocess (process):     "" "     custom multi-process, inherited from native process, to get multi-process results to queue      "" "    def __init__ (SELF, FUNC, ARGS, Q):         super (myprocess, self). __init__ ()          self.func = func        self.args  = args        self.res =  '          self.q = q         #self. _ daemonic = true         #self. _daemonic = true     def run (self):         self.res =  self.func (*self.args)    &Nbsp;    self.q.put ((self.func.__name__, self.res))     def  Use_multiprocessing (func_list):     #os. System (' export pythonoptimize=1 ')   #   Solutions  daemonic processes are not allowed to have children  Issues     q = mp. Queue ()   #  queues, storing multi-process results here, inter-process sharing,  multi-process must use   multiprocessing  queue     proc_list = []    res = []    for  func in func_list:        proc = myprocess ( func[' func '], args=func[' args '], q=q)         proc.start ()         proc_list.append (proc)     for p  In proc_list:        p.join ()      while not q.empty ():         r = q.get ()         res.append (R)     return res       when used, the parameters of functions and functions that require multi-process execution are treated as fields, and a list  is passed to the use_multiprocessing  method.

Python multi-process using function encapsulation