Python解方程组 scipy.optimize.fsolve()函数如何求解带有循环求和的方程式

import scipy
from scipy.optimize import fsolve
def func(i):
    x, y = i[0], i[1]
    return [  # 这里写要求解的方程组式子，变成等于0的形式
        x*y-6,
        x+y-5 ]
if __name__ == '__main__':
    r = scipy.optimize.fsolve(func, [0, 0])
    print(r)

import scipy
from scipy.optimize import fsolve
def func(i, params):
    x, y = i[0], i[1]
    a, b = params
    return [  # 这里写要求解的方程组式子，变成等于0的形式
        a*x*y-6,
        x+b*y-5 ]
if __name__ == '__main__':
    a = 2
    b = 0.5
    params = [a, b]
    r = scipy.optimize.fsolve(func, [0, 0], args=params)
    print(r)

import math
math.sin(theta)

import scipy
from scipy.optimize import fsolve
def func(i, params):
    x, y = i[0], i[1]
    a, b = params
    list_e1 = [x * a[j][0] + y * b[j][0] - 5 for j in range(2)]
    list_e2 = [x * a[j][1] - y * b[j][1] - 2 for j in range(2)]
    return [  # 这里写要求解的方程组式子，变成等于0的形式
        sum(list_e1),
        sum(list_e2)
    ]
if __name__ == '__main__':
    a = [[3, 4], [3, 4]]
    b = [[1, 3], [4, 1]]
    params = [a, b]
    r = scipy.optimize.fsolve(func, [0, 0], args=params)
    print(r)