# Hopcroft-Karp Algorithm from collections import deque class HopcroftKarp: def __init__(self, N0, N1): self.N0 = N0 self.N1 = N1 self.N = N = 2+N0+N1 self.G = [[] for i in range(N)] for i in range(N0): forward = [2+i, 1, None] forward[2] = backward = [0, 0, forward] self.G[0].append(forward) self.G[2+i].append(backward) self.backwards = bs = [] for i in range(N1): forward = [1, 1, None] forward[2] = backward = [2+N0+i, 0, forward] bs.append(backward) self.G[2+N0+i].append(forward) self.G[1].append(backward) def add_edge(self, fr, to): #assert 0 <= fr < self.N0 #assert 0 <= to < self.N1 v0 = 2 + fr v1 = 2 + self.N0 + to forward = [v1, 1, None] forward[2] = backward = [v0, 0, forward] self.G[v0].append(forward) self.G[v1].append(backward) def bfs(self): G = self.G level = [None]*self.N deq = deque([0]) level[0] = 0 while deq: v = deq.popleft() lv = level[v] + 1 for w, cap, _ in G[v]: if cap and level[w] is None: level[w] = lv deq.append(w) self.level = level return level[1] is not None def dfs(self, v, t): if v == t: return 1 level = self.level for e in self.it[v]: w, cap, rev = e if cap and level[v] < level[w] and self.dfs(w, t): e[1] = 0 rev[1] = 1 return 1 return 0 def flow(self): flow = 0 G = self.G bfs = self.bfs; dfs = self.dfs while bfs(): *self.it, = map(iter, G) while dfs(0, 1): flow += 1 return flow def matching(self): return [cap for _, cap, _ in self.backwards] N = int(input()) A = list(map(int, input().split())) MA = max(A) L = [[] for _ in range(MA + 1)] for i in range(1, MA + 1): x = i while x <= MA: L[x].append(i) x += i # print(L) ok = 1 ng = N + 1 while (ng - ok) > 1: mid = (ok + ng) // 2 HK = HopcroftKarp(mid, N) for i in range(N): for x in L[A[i]]: if(x <= mid): HK.add_edge(x - 1, i) if(HK.flow() == mid): ok = mid else: ng = mid print(ok)