# coding=utf-8

from scipy.optimize import linprog

import numpy as np

def maxGain(args):

    xg,yg,naifenx,naifeny,kaofeix,kaofeiy,sukx,suky,naifenmax,kaofeimax,sukmax = args

    # c = np.array([0.7, 1.2])

    # A = np.array([[9, 4], [4, 5], [3, 10]])

    # b = np.array([3600, 2000, 3000])

    c = np.array([xg, yg])

    A = np.array([[naifenx, naifeny], [kaofeix, kaofeiy], [sukx, suky]])

    b = np.array([naifenmax, kaofeimax, sukmax])

    x0_bounds = (0, None)

    x1_bounds = (0, None)

    res = linprog(-c, A_ub=A,b_ub=b,\

                bounds=(x0_bounds,x1_bounds),\

                options={"disp": True}

               )

    return res

if __name__ == "__main__":

    args = (0.7,1.2,9,4,4,5,3,10,3600,2000,3000) #11个参数，，，，，，，，，

    res = maxGain(args)

    print(res.x)

    #print(res)

    print(-res.fun)