Problem:
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Topological Sort

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.

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).

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 $G$

Sample Input

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

Sample Output

0
3
1
4
5
2

Solution in Scala (judge verdict: Wrong Answer)

import scala.collection.mutable.ListBuffer

object Main {

  def main(args: Array[String]): Unit = {
    val sc = new java.util.Scanner(System.in)

    val Vs, Es = sc.nextInt()
    val E = Array.fill[Boolean](Vs, Vs)(false)
    (0 until Es) foreach { _ =>
      val u, v = sc.nextInt()
      E(u)(v) = true
    }
    val visited = new Array[Boolean](Vs)

    val topologicalSorted = new ListBuffer[Int]()
    // 全ての頂点からスタートし, uから繋がっている全てのvについて探索, 帰ってくるタイミングで
    def dfs(u: Int): Unit =
      if (!visited(u)) { // 訪れていない時
        visited(u) = true // 訪れた.
        (0 until Es) foreach { v => // 全ての頂点について
          if (E(u)(v)) { // 辺が繋がっているv
            dfs(v) // vについてdfs
          }
        }
        topologicalSorted.prepend(u)
      }

    (0 until Vs) foreach dfs

    println(topologicalSorted)
  }
}