from typing import List
import numpy as np


import numpy as np


def _convolution(A, B):
    n, m = len(A), len(B)
    ph = 1 << (n + m - 2).bit_length()
    T = np.fft.rfft(A, ph) * np.fft.rfft(B, ph)
    res = np.fft.irfft(T, ph)[: n + m - 1]
    return np.rint(res).astype(np.int64)


def convolution(A: List[int], B: List[int], mod: int, s=10) -> List[int]:
    A_, B_ = np.array(A, dtype=np.int64), np.array(B, dtype=np.int64)
    s2 = s << 1
    mask = (1 << s) - 1

    m0, m1, m2 = A_ & mask, (A_ >> s) & mask, A_ >> s2
    n0, n1, n2 = B_ & mask, (B_ >> s) & mask, B_ >> s2

    p_0 = m0 + m2
    p0 = m0
    p1 = p_0 + m1
    pm1 = p_0 - m1
    pm2 = ((pm1 + m2) << 1) - m0
    pinf = m2

    q_0 = n0 + n2
    q0 = n0
    q1 = q_0 + n1
    qm1 = q_0 - n1
    qm2 = ((qm1 + n2) << 1) - n0
    qinf = n2

    r0 = _convolution(p0, q0)
    r1 = _convolution(p1, q1)
    rm1 = _convolution(pm1, qm1)
    rm2 = _convolution(pm2, qm2)
    rinf = _convolution(pinf, qinf)

    r_0 = r0
    r_4 = rinf
    r_3 = (rm2 - r1) // 3
    r_1 = (r1 - rm1) >> 1
    r_2 = rm1 - r0
    r_3 = ((r_2 - r_3) >> 1) + (rinf << 1)
    r_2 += r_1 - r_4
    r_1 -= r_3

    res = ((r_4 << s2) + (r_3 << s) + r_2) % mod
    res = ((res << s2) + (r_1 << s) + r_0) % mod
    return list(res)


n = int(input())
A = list(map(int, input().split()))
B = list(map(int, input().split()))

MOD = int(1e18)
A = [0] + A
B = [0] + B
f = list(range(n + 1))
A = convolution(A, f, MOD)
B = convolution(B, f, MOD)
C = [a + b for a, b in zip(A, B)]
C = C[1:]
print(*C)