import collections import heapq class Dijkstra(): def __init__(self): self.e = collections.defaultdict(list) def add(self, u, v, d, directed=False): """ #0-indexedでなくてもよいことに注意 #u = from, v = to, d = cost #directed = Trueなら、有向グラフである """ if directed is False: self.e[u].append([v, d]) self.e[v].append([u, d]) else: self.e[u].append([v, d]) def delete(self, u, v): self.e[u] = [_ for _ in self.e[u] if _[0] != v] self.e[v] = [_ for _ in self.e[v] if _[0] != u] def Dijkstra_search(self, s): """ #0-indexedでなくてもよいことに注意 #:param s: 始点 #:return: 始点から各点までの最短経路と最短経路を求めるのに必要なprev """ d = collections.defaultdict(lambda: 10**9) prev = collections.defaultdict(lambda: None) d[s] = 0 q = [] heapq.heappush(q, (0, s)) v = collections.defaultdict(bool) while len(q): k, u = heapq.heappop(q) if v[u]: continue v[u] = True for uv, ud in self.e[u]: if v[uv]: continue vd = k + ud if d[uv] > vd: d[uv] = vd prev[uv] = u heapq.heappush(q, (vd, uv)) return d, prev def getDijkstraShortestPath(self, start, goal): _, prev = self.Dijkstra_search(start) shortestPath = [] node = goal while node is not None: shortestPath.append(node) node = prev[node] return shortestPath[::-1] N,M = map(int, input().split()) UV = [list(map(int, input().split())) for _ in range(M)] D = Dijkstra() for u,v in UV: D.add(u,v,1) S,_ = D.Dijkstra_search(1) if len(S)==1: for _ in range(N): print(0) exit() Dic = collections.defaultdict(int) for i in range(1,N+1): Dic[S[i]]+=1 odd=0 even=1 for i in range(1,N+1): if i%2==0: even+=Dic[i] print(even) else: odd+=Dic[i] print(odd)