Constraints

* 1 ≤ |V| ≤ 1000
* 0 ≤ |E| ≤ 2000
* -10000 ≤ di ≤ 10000
* 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

If the graph contains a negative cycle (a cycle whose sum of edge costs is a negative value) which is reachable from the source r, print


NEGATIVE CYCLE


in a line.

Otherwise, print


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 2
0 2 3
1 2 -5
1 3 1
2 3 2


Output

0
2
-3
-1


Input

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


Output

NEGATIVE CYCLE


Input

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


Output

INF
0
-5
-3
import sys
sys.setrecursionlimit(10000000)
MOD = 10 ** 9 + 7
INF = 10 ** 15

def beruman(N,edges,start = 0,negative_loop = False):
    find_negative = False #startを含む負の閉路が存在するか
    dist = [INF] * N
    dist[start] = 0

    for i in range(N):
        update = False
        for a,b,c in edges:
            if dist[a] != INF and dist[b] > dist[a] + c:
                dist[b] = dist[a] + c
                update = True

        if not update:
            break
        if i == N - 1:
            find_negative = True
    
    if negative_loop:
        return dist,find_negative
    else:
        return dist

def main():
	V,E,s = map(int,input().split())
	edges = [tuple(map(int,input().split())) for _ in range(E)]
	dist,flag = beruman(V,edges,start = s,negative_loop = True) 
	if flag:
		print('NEGATIVE CYCLE')
	else:
		print('\n'.join(map(lambda x:'INF' if x == INF else str(x),dist)))
if __name__ == '__main__':
	main()
