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:
def solve(V,E,r,edges):
    cost=[float('inf')]*V
    cost[r]=0
    for _ in range(V-1):
        for edge in edges:
            s=edge[0]
            t=edge[1]
            d=edge[2]
            if cost[t]>cost[s]+d:
                cost[t]=cost[s]+d
    for edge in edges:
        s=edge[0]
        t=edge[1]
        d=edge[2]
        if cost[t]>cost[s]+d:
            return []
    return cost
            
V,E,r=map(int,input().split())
edges=[]
for _ in range(E):
    s,t,d=map(int,input().split())
    edges.append(tuple((s,t,d)))
ans=solve(V,E,r,edges)
if len(ans)==0:
    print("NEGATIVE CYCLE")
else:
    for i in range(len(ans)):
        if ans[i]==float('inf'):
            print("INF")
        else:
            print(ans[i])