class UnionFind: def __init__(self,n): self.n = n self.parent_size = [-1]*n def leader(self,a): if self.parent_size[a] < 0: return a self.parent_size[a] = self.leader(self.parent_size[a]) return self.parent_size[a] def merge(self,a,b): x, y = self.leader(a), self.leader(b) if x == y: return if abs(self.parent_size[x]) < abs(self.parent_size[y]): x, y = y, x self.parent_size[x] += self.parent_size[y] self.parent_size[y] = x return def same(self,a,b): return self.leader(a) == self.leader(b) def size(self,a): return abs(self.parent_size[self.leader(a)]) def groups(self): result = [[] for _ in range(self.n)] for i in range(self.n): result[self.leader(i)].append(i) return [r for r in result if r != []] class Eratosthenes: def __init__(self, n): self.isPrime = [True]*(n+1) self.minfactor = [-1]*(n+1) self.isPrime[0], self.isPrime[1] = False, False self.minfactor[1] = 1 for i in range(2, n+1): if self.isPrime[i]: self.minfactor[i] = i for j in range(i*2, n+1, i): self.isPrime[j] = False if self.minfactor[j] == -1: self.minfactor[j] = i def factorize(self, n): factor = [] while n > 1: p = self.minfactor[n] cnt = 0 while self.minfactor[n] == p: n //= p cnt += 1 factor.append((p, cnt)) return factor def divisor(self, n): ans = [1] pf = self.factorize(n) for p, c in pf: L = len(ans) for i in range(L): v = 1 for _ in range(c): v *= p ans.append(ans[i]*v) return sorted(ans) N = int(input()) A = list(map(int, input().split())) def compress(S): S = sorted(S) D = dict() for i in range(len(S)): D[S[i]] = i return D E = Eratosthenes(10**5*2) S = set() for i in range(N): F = E.factorize(A[i]) for n, c in F: S.add(n) D = compress(S) UF = UnionFind(N+len(D)) cnt2, cnt3 = False, False for i in range(N): F = E.factorize(A[i]) for n, c in F: UF.merge(i, N+D[n]) if n == 2: cnt2 = True elif n == 3: cnt3 = True S = set() for i in range(N): S.add(UF.leader(i)) L = len(S) ans = 10**18 if cnt2: ans = min(ans, 2*(L-1)) else: ans = min(ans, 2*L) if cnt3: ans = min(ans, 3*(L-1)) else: ans = min(ans, 3*L) print(ans)