# 強連結成分分解(SCC): グラフGに対するSCCを行う # 入力: : 頂点サイズ, : 順方向の有向グラフ # 出力: (<ラベル数>, <各頂点のラベル番号>) def scc(N, G): order = [] used = [False]*N group = [None]*N RG = [[] for _ in range(N)] for i in range(N): for j in G[i]: RG[j].append(i) def dfs(pos): stack = [(1, pos), (0, pos)] while stack: t, pos = stack.pop() if t == 0: if used[pos]: stack.pop() continue used[pos] = True for npos in G[pos]: if not used[npos]: stack.append((1, npos)) stack.append((0, npos)) else: order.append(pos) def rdfs(pos, col): stack = [pos] group[pos] = col used[pos] = True while stack: pos = stack.pop() for npos in RG[pos]: if not used[npos]: used[npos] = True group[npos] = col stack.append(npos) for i in range(N): if not used[i]: dfs(i) used = [False]*N label = 0 for s in reversed(order): if not used[s]: rdfs(s, label) label += 1 return label, group # 縮約後のグラフを構築 def construct(N, G, label, group): G0 = [set() for i in range(label)] GP = [[] for i in range(label)] for v in range(N): lbs = group[v] for w in G[v]: lbt = group[w] if lbs == lbt: continue G0[lbs].add(lbt) GP[lbs].append(v) return G0, GP n, m = map(int, input().split()) edges = [[] for _ in range(n)] for _ in range(m): a, b = map(int, input().split()) a -= 1 b -= 1 edges[a].append(b) label, group = scc(n, edges) if label == 1: print(0) exit() g0, gp = construct(n, edges, label, group) in_ = [0] * label out_ = [0] * label for i in range(label): for j in g0[i]: out_[i] += 1 in_[j] += 1 c1 = sum(i == 0 for i in in_) c2 = sum(o == 0 for o in out_) print(max(c1, c2))