B

import numpy as np

n = int(input())
# arr a
A = np.diag(np.arange(1, n + 1))

# arr b
re = np.r_[ (n // 2) * [1, 0] + (n % 2) * [1] ]
ro = np.r_[ (n // 2) * [0, 1] + (n % 2) * [0] ]
B = np.row_stack((n // 2) * (re, ro))
if (np.shape(B)[0] != n):
    B = np.vstack((B, re))

# arr c

C = np.ones((n,n), dtype = 'float')
C[1:-1, 1:-1] = 0
C = C * 10

# arr d
D = np.linalg.inv(np.add(np.matmul(np.transpose(B), B), A)) + np.matmul(np.transpose(C), C)
out = np.linalg.det(D)

print(out)