Python NumPy中Sage.right_array（）的等价物是什么？

我有一个后来被转换成“矩阵”数组56x54的数组，我如何计算这个数组的内核？ 理想情况下，我如何修改它，使其可以作为Sage中的矩阵进行操作？我想在Sage中使用.right_kernel（）函数

import numpy

m = numpy.zeros(shape=(56,54), dtype=int)

eqns = [[0,1,2,3,4,5]
    ,[0,1,2,6,7,8]
    ,[0,1,2,0,3,6]
    ,[0,1,2,1,4,7]
    ,[0,1,2,2,5,8]
    ,[0,1,2,3,4,5]
    ,[0,1,2,12,13,14]
    ,[0,1,2,15,16,17]
    ,[0,1,2,9,12,15]
    ,[0,1,2,10,13,16]
    ,[0,1,2,11,14,17]
    ,[0,1,2,21,22,23]
    ,[0,1,2,24,25,26]
    ,[0,1,2,18,21,24]
    ,[0,1,2,19,22,25]
    ,[0,1,2,20,23,26]
    ,[0,1,2,30,31,32]
    ,[0,1,2,33,34,35]
    ,[0,1,2,27,30,33]
    ,[0,1,2,28,31,34]
    ,[0,1,2,29,32,35]
    ,[0,1,2,39,40,41]
    ,[0,1,2,42,43,44]
    ,[0,1,2,36,39,42]
    ,[0,1,2,37,40,43]
    ,[0,1,2,38,41,44]
    ,[0,1,2,48,49,50]
    ,[0,1,2,51,52,53]
    ,[0,1,2,45,48,51]
    ,[0,1,2,46,49,52]
    ,[0,1,2,47,50,53]

    #now the diagonals
    ,[0,1,2,0,4,8]
    ,[0,1,2,2,4,6]
    ,[0,1,2,9,13,17]
    ,[0,1,2,11,13,15]
    ,[0,1,2,18,22,26]
    ,[0,1,2,20,22,24]
    ,[0,1,2,27,31,35]
    ,[0,1,2,29,31,33]
    ,[0,1,2,36,40,44]
    ,[0,1,2,38,40,42]
    ,[0,1,2,45,49,53]
    ,[0,1,2,47,49,51]
    
    #the connnecting corners with the "standard" being a+c3+i4
    ,[0,1,2,2,38,9]
    ,[0,1,2,6,35,47]
    ,[0,1,2,8,15,53]
    ,[0,1,2,18,36,11]
    ,[0,1,2,20,27,42]
    ,[0,1,2,24,42,26]
    ,[0,1,2,26,33,45]
    ,[0,1,2,9,10,11]
    ,[0,1,2,18,19,20]
    ,[0,1,2,27,28,29]
    ,[0,1,2,36,37,38]
    ,[0,1,2,45,46,47]
    ,[0,1,2,0,29,44]]

for i in range(len(eqns)):
    for j in range(len(eqns[i])):
        if j<=2:
            m[i,eqns[i][j]] += 1
        if j>2:
            m[i,eqns[i][j]] += -1
b = numpy.matrix(numpy.array(m))

导入numpy
m=numpy.zero（shape=（56,54），dtype=int）
方程=[[0,1,2,3,4,5]
,[0,1,2,6,7,8]
,[0,1,2,0,3,6]
,[0,1,2,1,4,7]
,[0,1,2,2,5,8]
,[0,1,2,3,4,5]
,[0,1,2,12,13,14]
,[0,1,2,15,16,17]
,[0,1,2,9,12,15]
,[0,1,2,10,13,16]
,[0,1,2,11,14,17]
,[0,1,2,21,22,23]
,[0,1,2,24,25,26]
,[0,1,2,18,21,24]
,[0,1,2,19,22,25]
,[0,1,2,20,23,26]
,[0,1,2,30,31,32]
,[0,1,2,33,34,35]
,[0,1,2,27,30,33]
,[0,1,2,28,31,34]
,[0,1,2,29,32,35]
,[0,1,2,39,40,41]
,[0,1,2,42,43,44]
,[0,1,2,36,39,42]
,[0,1,2,37,40,43]
,[0,1,2,38,41,44]
,[0,1,2,48,49,50]
,[0,1,2,51,52,53]
,[0,1,2,45,48,51]
,[0,1,2,46,49,52]
,[0,1,2,47,50,53]
#现在是对角线
,[0,1,2,0,4,8]
,[0,1,2,2,4,6]
,[0,1,2,9,13,17]
,[0,1,2,11,13,15]
,[0,1,2,18,22,26]
,[0,1,2,20,22,24]
,[0,1,2,27,31,35]
,[0,1,2,29,31,33]
,[0,1,2,36,40,44]
,[0,1,2,38,40,42]
,[0,1,2,45,49,53]
,[0,1,2,47,49,51]
#“标准”为a+c3+i4的连接角
,[0,1,2,2,38,9]
,[0,1,2,6,35,47]
,[0,1,2,8,15,53]
,[0,1,2,18,36,11]
,[0,1,2,20,27,42]
,[0,1,2,24,42,26]
,[0,1,2,26,33,45]
,[0,1,2,9,10,11]
,[0,1,2,18,19,20]
,[0,1,2,27,28,29]
,[0,1,2,36,37,38]
,[0,1,2,45,46,47]
,[0,1,2,0,29,44]]
对于范围内的i（len（eqns））：
对于范围内的j（len（等式[i]）：
如果j2：
m[i，eqns[i][j]+=-1
b=numpy.矩阵（numpy.数组（m））

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我使用numpy是因为我无法在sage中更改空56x54矩阵的值建议：问一个更简单的问题：使用（4,3）或（8,6）问题而不是（56,54）。关于“我使用numpy是因为我无法在sage中更改空56x54矩阵的值”，请说明您尝试了什么，并说明产生了什么样的错误。