import numpy as np
import scipy

p = float(input())
ax, ay = map(float, input().split())
bx, by = map(float, input().split())
cx, cy = map(float, input().split())


def my_pow(x):
    return np.abs(x) ** p


def f(point):
    x, y = point
    # print(x, y)
    anorm = my_pow(ax - x) + my_pow(ay - y)
    bnorm = my_pow(bx - x) + my_pow(by - y)
    cnorm = my_pow(cx - x) + my_pow(cy - y)
    return max(anorm, bnorm, cnorm) - min(anorm, bnorm, cnorm)


ans = []
best = 1e9

for X in [-10**6, 10**6]:
    for Y in [-10**6, 10**6]:
        cur = scipy.optimize.fmin(f, [X, Y], disp=False, maxiter=1000, ftol=1e-6)
        if f(cur) < best:
            ans = cur
            best = f(cur)
print(*ans)