python多进程并行multiprocessing返回子进程结果

import multiprocessing as mp
import time

import multiprocessing as mp
import time
from multiprocessing import Manager

def job1(i,return_dict):

    v=0
    for i in range(100):
        time.sleep(0.1)
        v+= i # 获取共享内存
        #print(v,end="\n")
    return_dict[i] = v
    print("job1完成")

def job2(i,return_dict):
    v=1
    for i in range(100):
        time.sleep(0.1)
        v+= i # 获取共享内存
       # print(v,end="\n")
    return_dict[i] = v
    print("job2完成")

if __name__=='__main__':
    t1 = time.time()
    manager = Manager()
    return_dict1= manager.dict()
    return_dict2 = manager.dict()
    return_dict3 = manager.dict()
    return_dict4 = manager.dict()
    # p1 = mp.Process(target=job1, args=(0,return_dict1)) # 需要将lock传入
    # p2 = mp.Process(target=job2, args=(0,return_dict2))
    # p3 = mp.Process(target=job1, args=(0, return_dict3))  # 需要将lock传入
    # p4= mp.Process(target=job2, args=(0, return_dict4))
    # p1.start()
    # p2.start()
    # p3.start()
    # p4.start()
    # p1.join()
    # print(return_dict1.values())
    # p2.join()
    # print(return_dict2.values())
    # p3.join()
    # print(return_dict3.values())
    # p4.join()
    # print(return_dict4.values())
    # #print(q.get())
    # t2=time.time()
    # print("时间为：",t2-t1)

    job1(1,return_dict1)
    job2(2,return_dict2)
    job1(1, return_dict3)
    job2(2, return_dict4)
    print(return_dict1.values()[0])
    print(return_dict2.values()[0])
    print(return_dict3.values()[0])
    print(return_dict4.values()[0])
    t2=time.time()
    print("时间为：",t2-t1)

import multiprocessing
from multiprocessing import Manager
def worker(procnum, return_dict):
    '''worker function'''
    print(str(procnum) + ' represent!')
    return_dict[procnum] = procnum

#多进程实现结果
import time
if __name__ == '__main__':
    manager = Manager()
    # return_list = manager.list() 也可以使用列表list
    return_dict = manager.dict()
    jobs = []
    t1=time.time()
    for i in range(5):
        p = multiprocessing.Process(target=worker, args=(i,return_dict))
        jobs.append(p)
        p.start()
    for proc in jobs:
        proc.join()
    print(return_dict.values())