from collections import defaultdict
import numpy as np

mat = '56....1\n276....\n7.3.1..\n...124.\n..53.2.\n...4.63\n.5..4.7'
d = defaultdict(list)
rows = mat.split('\n')
data = np.random.randint(1, 100, (len(rows), len(rows[0])))
print("原始数据\n", data)

for j in range(len(rows)):
    for i in range(len(rows[j])):
        d[rows[j][i]].append((j, i))

for i in d['.']:
    data[int(i[0])][int(i[1])] = 0

print(data)

diag_p = defaultdict(int)

for k, v in d.items():
    for i in v:
        diag_p[k] = data[i[0]][i[1]] ^ diag_p[k]

print(diag_p)

row_p = defaultdict(int)
for rn in range(len(data)):
    p = 0
    for i in data[rn]:
        p = p ^ i
    row_p[rn] = p
print(row_p)