待解决的代码2

import numpy as np
import sympy
from scipy.optimize import fsolve
from sympy import *

H = np.array(
            [[0, 0, 0, 1, 1, 1, 1],
             [0, 1, 1, 0, 0, 1, 1],
             [1, 0, 1, 0, 1, 0, 1]])

def func(X):
    '''

    '''

    H = np.array(
        [[0, 0, 0, 1, 1, 1, 1],
         [0, 1, 1, 0, 0, 1, 1],
         [1, 0, 1, 0, 1, 0, 1]])

    G1 = np.eye(4)

    G2 = [[X[0], X[1], X[2]]
        , [X[3], X[4], X[5]]
        , [X[6], X[7], X[8]]
        , [X[9], X[10], X[11]]]
    G = np.concatenate((G1, G2), axis=1)
    #print(G.shape)

    GH_T = np.dot(G, np.transpose(H))
    m, n = GH_T.shape[0], GH_T.shape[1]
    for i in range(m):
        for j in range(n):
            GH_T[i][j] %= 2
    GH_T = np.array(GH_T)
    GH_T = GH_T.reshape(1,12)
    #print(GH_T)

    return GH_T

for i in range(0,pow(2,12)):
    i_str = str(i)