多进程在windows安装的jupyter notebook 可能运行不了,显示一直运行

#jupyter Notebook

import multiprocessing as mp

pool = mp.Pool(processes =4)

p1 = int(1e8 + 7)

#Determine whether it is a prime number
def is_prime(I):
    if I%2 ==0:#################
        return False
    for i in range(3, int(I**0.5) + 1, 2): ###############
        if I%i ==0:##########
            return False##########
    return True#######

%time pool.map(is_prime, 10*[p1])

mac 或者 Linux 或许可以运行得到如下结果

我在windows版本下一直运行就是没有结果

之后在 Spyder中因为运行不了所以更改了代码

import multiprocessing as mp
p1 = int(1e8 + 7)

#Determine whether it is a prime number
def is_prime(I):
    if I%2 ==0:#################
        return False
    for i in range(3, int(I**0.5) + 1, 2): ###############
        if I%i ==0:##########
            return False##########
    return True#######

if __name__ == '__main__':
    pool = mp.Pool(processes =4)
    print(pool.map(is_prime, 10*[p1]) )

2. #Jupyter in MAC OS or Linux OS 

import numba
import multiprocessing as mp

p2 = 100109100129162907

pool = mp.Pool(processes =4)

#Determine whether it is a prime number
def is_prime(I):
    if I%2 ==0:#################
        return False
    for i in range(3, int(I**0.5) + 1, 2): ###############
        if I%i ==0:##########
            return False##########
    return True#######

#pool.map(is_prime_nb, 10 * [p2])
is_prime_nb = numba.jit(is_prime)

show:

#Spyder in windows 7

import numba
import multiprocessing as mp

p2 = 100109100129162907

#Determine whether it is a prime number
def is_prime(I):
    if I%2 ==0:#################
        return False
    for i in range(3, int(I**0.5) + 1, 2): ###############
        if I%i ==0:##########
            return False##########
    return True#######

#pool.map(is_prime_nb, 10 * [p2])
is_prime_nb = numba.jit(is_prime)

if __name__ == '__main__':
    pool = mp.Pool(processes =4)
    print(pool.map(is_prime_nb, 10 * [p2]) )