Problem:
Score : 400 points

Problem Statement

You are given an undirected connected weighted graph with N vertices and M edges that contains neither self-loops nor double edges.

The i-th (1≤i≤M) edge connects vertex a_i and vertex b_i with a distance of c_i.

Here, a self-loop is an edge where a_i = b_i (1≤i≤M), and double edges are two edges where (a_i,b_i)=(a_j,b_j) or (a_i,b_i)=(b_j,a_j) (1≤i<j≤M).

A connected graph is a graph where there is a path between every pair of different vertices.

Find the number of the edges that are not contained in any shortest path between any pair of different vertices.

Constraints

2≤N≤100

N-1≤M≤min(N(N-1)/2,1000)

1≤a_i,b_i≤N

1≤c_i≤1000

c_i is an integer.

The given graph contains neither self-loops nor double edges.

The given graph is connected.

Input

The input is given from Standard Input in the following format:

N M
a_1 b_1 c_1
a_2 b_2 c_2
:
a_M b_M c_M

Output

Print the number of the edges in the graph that are not contained in any shortest path between any pair of different vertices.

Sample Input 1

3 3
1 2 1
1 3 1
2 3 3

Sample Output 1

1

In the given graph, the shortest paths between all pairs of different vertices are as follows:

The shortest path from vertex 1 to vertex 2 is: vertex 1 → vertex 2, with the length of 1.

The shortest path from vertex 1 to vertex 3 is: vertex 1 → vertex 3, with the length of 1.

The shortest path from vertex 2 to vertex 1 is: vertex 2 → vertex 1, with the length of 1.

The shortest path from vertex 2 to vertex 3 is: vertex 2 → vertex 1 → vertex 3, with the length of 2.

The shortest path from vertex 3 to vertex 1 is: vertex 3 → vertex 1, with the length of 1.

The shortest path from vertex 3 to vertex 2 is: vertex 3 → vertex 1 → vertex 2, with the length of 2.

Thus, the only edge that is not contained in any shortest path, is the edge of length 3 connecting vertex 2 and vertex 3, hence the output should be 1.

Sample Input 2

3 2
1 2 1
2 3 1

Sample Output 2

0

Every edge is contained in some shortest path between some pair of different vertices.

Solution in Java8 (OpenJDK 1.8.0) (judge verdict: Runtime Error)

import java.util.Scanner;

public class Main {
	public static void main(String[] args) {
		Main main = new Main();
		main.run();
	}

	public void run() {
		Scanner sc = new Scanner(System.in);
		int n=sc.nextInt();
		int m=sc.nextInt();
		int a[] = new int[n];
		int b[] = new int[n];
		int c[] = new int[n];

		int dist[][] = new int[n][n];
		final int INF = 1001001001;
		for(int i=0; i<n; i++) {
			for(int j=0; j<n; j++) {
				if(i==j) {
					dist[i][j]=0;
				}else {
					dist[i][j]=INF;
				}
			}
		}

		for(int i=0; i<m; i++) {
			a[i]=sc.nextInt();a[i]--;
			b[i]=sc.nextInt();b[i]--;
			c[i]=sc.nextInt();
			dist[a[i]][b[i]]=c[i];
			dist[b[i]][a[i]]=c[i];
		}

		for(int k=0; k<n; k++) {
			for(int i=0; i<n; i++) {
				if(dist[i][k]==INF)continue;
				for(int j=0; j<n; j++) {
					if(dist[k][j]==INF)continue;
					dist[i][j] = Math.min(dist[i][j], dist[i][k]+dist[k][j]);
				}
			}
		}

		int cnt=0;
		for(int k=0; k<m; k++) {
			boolean hit = true;
			for(int i=0; i<n; i++) {
				for(int j=0; j<n; j++) {
					if(dist[i][a[k]] + c[k] + dist[b[k]][j] == dist[i][j]) {
						hit=false;
					}
				}
			}
			if(hit) {
				cnt++;
			}
		}
		System.out.println(cnt);

		sc.close();
	}
}