Problem: <image>


A directed acyclic graph (DAG) can be used to represent the ordering of tasks. Tasks are represented by vertices and constraints where one task can begin before another, are represented by edges. For example, in the above example, you can undertake task B after both task A and task B are finished. You can obtain the proper sequence of all the tasks by a topological sort.

Given a DAG $G$, print the order of vertices after the topological sort.

Constraints

* $1 \leq |V| \leq 10,000$
* $0 \leq |E| \leq 100,000$
* There are no parallel edges in $G$
* There are no self loops in $G$

Input

A directed graph $G$ is given in the following format:
$|V|\;|E|$
$s_0 \; t_0$
$s_1 \; t_1$
:
$s_{|E|-1} \; t_{|E|-1}$



$|V|$ is the number of vertices and $|E|$ is the number of edges in the graph. The graph vertices are named with the numbers $0, 1,..., |V|-1$ respectively.

$s_i$ and $t_i$ represent source and target nodes of $i$-th edge (directed).

Output

Print the vertices numbers in order. Print a number in a line.

If there are multiple possible solutions, print any one of them (the solution is judged by a special validator).

Example

Input

6 6
0 1
1 2
3 1
3 4
4 5
5 2


Output

0
3
1
4
5
2

Solution (in PYTHON3):

Solution:
import sys
input = sys.stdin.readline
from operator import itemgetter
INF = 10**30
sys.setrecursionlimit(10000000)
from collections import deque
G = []
into = [] # 入次数


def topological_sort(n):
    global into
    ans = []
    unvisited = [True] * n
    for i in range(n):
        if into[i] == 0 and unvisited[i]:
            q = deque()
            q.append(i)
            while len(q) > 0:
                node = q.popleft()
                ans.append(node)
                unvisited[node] = False
                for v in G[node]:
                    into[v] -= 1
                    if into[v] == 0:
                        q.append(v)
    return ans

visited = []
answer = deque()
def rec(v):
    global visited
    visited[v] = True

    for node in G[v]:
        if not visited[node]:
            rec(node)
    answer.appendleft(v)

def dfs_topolo(n):
    for i in range(n):
        if not visited[i]:
            rec(i)

def main():
    global G, into, visited
    v, e = list(map(int, input().strip().split()))
    G = [[] for _ in range(v)]
    visited = [False] * v
    into = [0] * v
    for i in range(e):
        s, t = list(map(int, input().strip().split()))
        G[s].append(t)
        into[t] += 1
    # ans = topological_sort(v)
    # for p in ans:
    #     print(p)
    dfs_topolo(v)
    for p in answer:
        print(p)

if __name__ == '__main__':
    main()