import numpy as np

Q = int(input())
MOD = 17


def pow_matrix_mod(x, n, mod=MOD):
    if not n:
        return np.eye(len(x), dtype=np.object)
    if n % 2 == 0:
        return pow_matrix_mod(x @ x % mod, n // 2) % mod
    else:
        return x @ pow_matrix_mod(x @ x % mod, (n - 1) // 2) % mod


A = np.array([[0, 0, 0, 1],
              [1, 0, 0, 1],
              [0, 1, 0, 1],
              [0, 0, 1, 1]])
X = np.array([0, 0, 0, 1])

for _ in range(Q):
    N = int(input())
    if N <= 4:
        print(X[N - 1])
        continue
    Y = X @ pow_matrix_mod(A, N - 4)
    print(Y[3])