from numpy import *
import scipy.optimize
import itertools
file_data = open('b1.txt','r')
n = int(file_data.readline())
inp = []
for line in file_data.readlines():
    line = line.replace('\n', '')
    t = line.split('\t')
    inp.append(list(map(int, t)))
matrix = []
ans = []
for i in range(n*n):
    t = [0 for k in range(n*n)]
    matrix.append(t)
    ans.append(0)
for i in range(n):
    for j in range(n):
        for dx in range(-1,2):
            for dy in range(-1,2):
                if 0 <= i+dx < n and 0 <= j+dy < n:
                    ans[n*i+j] = inp[i][j]
                    matrix[n*i+j][n*(i+dx)+(j+dy)] = 1
matrix = array(matrix)
ans = array(ans)
#data = scipy.optimize.lsq_linear(matrix, ans, bounds=(0, 100), tol=1e-10)
data = linalg.solve(matrix, ans)
file_out = open("ans.txt", 'a')
k = 0
for i in range(n):
    line = ""
    for j in range(n):
        line += str(int(data[k])) + ' '
        k += 1
    line += '\n'
    file_out.write(line)
file_out.close()