from functools import reduce
from operator import mul, sub
################################################################################

def get_matrix(fname):
    with open(fname, "r") as f:
        return [tuple(map(float, l.split())) for l in f]

def column(row):
    i = 0
    n = len(row)
    while not row[i] and i < n:
        i += 1
    return i if i < n else -1

def sign(indexes):
    n = len(indexes)
    s = sum((0, 1)[x < y] for k, y in enumerate(indexes) for x in indexes[k+1:])
    return ((s + 1) % 2 - s % 2)

def det(matrix):
    M = matrix[:]
    n = len(M)

    indexes = [0 for _ in range(n)]

    for i in range(n):
        k = column(M[i])
        for j in (x for x in range(n) if x != i):
            M[j] = tuple(map(sub, M[j], map(mul, M[i], [M[j][k] / M[i][k]] * n)))
        indexes[i] = k

    return reduce(mul, (M[i][indexes[i]] for i in range(n)), 1) * sign(indexes)

def kramer(les):
    n   = len(les)
    tmp = list(zip(*les))
    b   = tmp[-1]
    del tmp[-1]

    delta = det(tmp)
    if not delta:
        raise RuntimeError("Решения нет")

    result = []
    for i in range(n):
        a = tmp[:]
        a[i] = b
        result.append(det(a) / delta)
    return result
################################################################################

if "__main__" == __name__:
    kramer(get_matrix("input.txt"))
################################## End Of File #################################