# Original solution
import collections
N = int(eval(input()))
A = [int(_) for _ in input().split()]


class Prime:
    @staticmethod
    def trial_division(x):
        if x % 2 == 0:
            return True
        for p in range(3, int(x**0.5 + 1), 2):
            if x % p == 0:
                return False
        return True

    @staticmethod
    def factorization(x):
        ret = set()
        while True:
            if x % 2:
                break
            x //= 2
            ret.add(2)
        for p in range(3, int(x**0.5 + 1), 2):
            while True:
                if x % p:
                    break
                x //= p
                ret.add(p)
        if x > 1:
            ret.add(x)
        return ret

    @staticmethod
    def miller_rabin(n):
        def suspect(a, t, n):
            x = pow(a, t, n)
            n1 = n - 1
            while t != n1 and x != 1 and x != n1:
                x = pow(x, 2, n)
                t <<= 1
            return t & 1 or x == n1

        if n == 2:
            return True
        if n < 2 or n % 2 == 0:
            return False
        d = (n - 1) >> 1
        while d & 1 == 0:
            d >>= 1

        if n < 2**32:
            check_list = (2, 7, 61)
        elif n < 2**48:
            check_list = (2, 3, 5, 7, 11, 13, 17, 19, 23)
        else:
            check_list = (2, 3, 5, 7, 11, 13, 17, 19, 23, 29, 31, 37)

        for i in check_list:
            if i >= n:
                break
            if not suspect(i, d, n):
                return False
        return True


c = collections.defaultdict(int)
for a in A:
    for p in Prime.factorization(a):
        c[p] += 1
ans = 'pairwise coprime'
if c:
    x = max(c.values())
    if x == 1:
        ans = 'pairwise coprime'
    elif x == N:
        ans = 'not coprime'
    else:
        ans = 'setwise coprime'
print(ans)


# Optimized solution
import collections
N = int(eval(input()))
A = [int(_) for _ in input().split()]


class Prime:
    @staticmethod
    def trial_division(x):
        if x % 2 == 0:
            return True
        for p in range(3, int(x**0.5 + 1), 2):
            if x % p == 0:
                return False
        return True

    @staticmethod
    def factorization(n):
        a = set()
        while n % 2 == 0:
            a.add(2)
            n //= 2
        f = 3
        while f * f <= n:
            if n % f == 0:
                a.add(f)
                n //= f
            else:
                f += 2
        if n != 1:
            a.add(n)
        return a

    @staticmethod
    def miller_rabin(n):
        def suspect(a, t, n):
            x = pow(a, t, n)
            n1 = n - 1
            while t != n1 and x != 1 and x != n1:
                x = pow(x, 2, n)
                t <<= 1
            return t & 1 or x == n1

        if n == 2:
            return True
        if n < 2 or n % 2 == 0:
            return False
        d = (n - 1) >> 1
        while d & 1 == 0:
            d >>= 1

        if n < 2**32:
            check_list = (2, 7, 61)
        elif n < 2**48:
            check_list = (2, 3, 5, 7, 11, 13, 17, 19, 23)
        else:
            check_list = (2, 3, 5, 7, 11, 13, 17, 19, 23, 29, 31, 37)

        for i in check_list:
            if i >= n:
                break
            if not suspect(i, d, n):
                return False
        return True


c = collections.defaultdict(int)
for a in A:
    for p in Prime.factorization(a):
        c[p] += 1
ans = 'pairwise coprime'
if c:
    x = max(c.values())
    if x == 1:
        ans = 'pairwise coprime'
    elif x == N:
        ans = 'not coprime'
    else:
        ans = 'setwise coprime'
print(ans)