import multiprocessing as mp
import threading as td
import time
def job(x):
return x * x
def multicore():
pool = mp.Pool()
res = pool.map(job, range(10))
print("pool result:", res)
res = pool.apply_async(job, (2,))
# 用get获得结果
print("apply_async:", res.get())
# 迭代器，i=0时apply一次，i=1时apply一次等等
multi_res = [pool.apply_async(job, (i,)) for i in range(10)]
# 从迭代器中取出
print("apply_async iteration:", [res.get() for res in multi_res])
if __name__ == '__main__':
multicore()
