Question

是否有可能在python中并行化以下代码？我想知道如何使用map和lambda函数转换此代码..

values = (1,2,3,4,5 )

def op(x,y):
    return x+y

[(i, j, op(i, j))
        for i in values
        for j in values
        if i is not j]

Answer 1

检查出来：

from itertools import permutations

values = (1,2,3,4,5 )
[(i, j, i+j) for i, j in permutations(values, 2)]

它在python的stdlib中。

如果你想并行运行，请使用python3：

查看

import multiprocessing
from itertools import permutations

values = [1, 2, 3, 4, 5]
l = permutations(values, 2)


def f(x):
    return x[0], x[1], x[0] + x[1]

with multiprocessing.Pool(5) as p:
    data = p.map(f, l)

Answer 2

您可以将函数op与多处理和map并行化：

from multiprocessing.dummy import Pool as ThreadPool
from itertools import permutations

pool = ThreadPool(4)  # Number of threads

values = (1,2,3,4,5)
aux_val = [(i, j) for i,j in permutations(values,2)]

def op(tupx):
    result = (tupx[0], tupx[1], tupx[0] + tupx[1])
    return result

results = pool.map(op, aux_val)

并行化python中的循环

2 个答案: