Problem: 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

Solution (in PYTHON3):

Solution:
import sys

inf = 1<<60

def solve():
    N, M, r = map(int, sys.stdin.readline().split())
    edges = [None] * M

    for i in range(M):
        si, ti, di = map(int, sys.stdin.readline().split())
        edges[i] = (si, ti, di)

    ans = BellmanFord(N, M, edges, r)

    print(*ans, sep='\n')

def BellmanFord(N, M, edges, r):
    d = [inf] * N
    d[r] = 0

    for i in range(N):
        flag = False

        for (u, v, c) in edges:
            if d[u] != inf and d[u] + c < d[v]:
                d[v] = d[u] + c
                flag = True

        if flag and i == N - 1:
            return ['NEGATIVE CYCLE']

    d = [di if di < inf else 'INF' for di in d]

    return d

if __name__ == '__main__':
    solve()