For a given weighted graph G(V, E) and a source r, find the source shortest path to each vertex from the source (SSSP: Single Source Shortest Path).

Constraints

* 1 ≤ |V| ≤ 100000
* 0 ≤ di ≤ 10000
* 0 ≤ |E| ≤ 500000
* There are no parallel edges
* There are no self-loops

Input

An edge-weighted graph G (V, E) and the source r.


|V| |E| r
s0 t0 d0
s1 t1 d1
:
s|E|-1 t|E|-1 d|E|-1


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

si and ti represent source and target vertices of i-th edge (directed) and di represents the cost of the i-th edge.

Output

Print the costs of SSSP in the following format.


c0
c1
:
c|V|-1


The output consists of |V| lines. Print the cost of the shortest path from the source r to each vertex 0, 1, ... |V|-1 in order. If there is no path from the source to a vertex, print INF.

Examples

Input

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


Output

0
1
3
4


Input

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


Output

3
0
2
INF
#include <iostream>
#include <algorithm>
#include <queue>
#include <vector>
#define INF 10000000000000000
#define ll long long

using namespace std;

int main(){
  ll V, E, r;
  cin >> V >> E >> r;
  vector< vector< pair<ll,ll> > > edges(V);
  for(ll i = 0; i < E; i++){
    ll s,t,d;
    cin >> s >> t >> d;
    edges[s].push_back(make_pair(t,d));
  }
  vector<ll> dist(V, INF);
  dist[r] = 0;
  priority_queue< pair<ll,ll> , vector< pair<ll,ll> >, greater< pair<ll,ll> > > pq;
  pq.push(make_pair(0,r));

  while(!pq.empty()){
    ll source = pq.top().second;
    pq.pop();
    for(pair<ll,ll> edge: edges[source]){
      if(dist[edge.first] > dist[source] + edge.second){
	dist[edge.first] = dist[source] + edge.second;
	pq.push(make_pair(dist[edge.first], edge.first));
      }
    }
  }

  for(ll i = 0; i < V; i++){
    if(dist[i] == INF){
      cout << "INF" << endl;
    }else{
      cout << dist[i] << endl;
    }
  }


}