#include <algorithm>
#include <bits/stdc++.h>
#include <climits>
#include <cmath>
#include <complex>
#include <cstdio>
#include <cstdlib>
#include <cstring>
#include <iostream>
#include <list>
#include <map>
#include <queue>
#include <set>
#include <sstream>
#include <stack>
#include <string>
#include <vector>
using namespace std;

#define rep(X, S, E) for (int(X) = (S); (X) < (E); ++(X))
#define itrep(X, Y) for (auto(X) = (Y).begin(); (X) != (Y).end(); (X)++)
#define all(X) (X).begin(), (X).end()
#define pb push_back
#define mp make_pair
#define fi first
#define sc second
#define print(x) cout << x << endl
#define INF 0x3f3f3f3f

typedef long long ll;
typedef unsigned long long ull;
typedef pair<int, int> pii;
typedef pair<ll, ll> pll;
typedef vector<int> vi;
typedef vector<ll> vl;
const int dx[4] = {1, 0, -1, 0}, dy[4] = {0, 1, 0, -1};

class UnionFindTree {
private:
  vector<int> par;
  vector<int> rnk;
  vector<int> siz;

public:
  UnionFindTree(int n) {
    par.assign(n, -1);
    rnk.assign(n, -1);
    siz.assign(n, -1);

    for (int i = 0; i < n; ++i) {
      par[i] = i;
      rnk[i] = 0;
      siz[i] = 1;
    }
  }

  int find(int x) {
    if (par[x] == x)
      return x;
    else
      return par[x] = find(par[x]);
  }

  bool same(int x, int y) { return find(x) == find(y); }

  void unite(int x, int y) {
    x = find(x);
    y = find(y);
    if (x == y)
      return;
    if (rnk[x] < rnk[y]) {
      par[x] = y;
      siz[y] += siz[x];
    } else {
      par[y] = x;
      siz[x] += siz[y];
      if (rnk[x] == rnk[y])
        ++rnk[x];
    }
  }

  int size(int x) {
    x = find(x);
    return siz[x];
  }
};

class Edge {
public:
  ll from;
  ll to;
  ll cost;

  Edge() {}
  Edge(ll from, ll to, ll cost) {
    this->from = from;
    this->to = to;
    this->cost = cost;
  }

  bool operator<(const Edge &edge) const {
    return cost < edge.cost; //昇順
  }
};

class Graph {
public:
  ll nodes; // ノード数
  vector<Edge> edges;

  Graph() {}
  Graph(ll nodes) { this->nodes = nodes; }
  void addEdge(ll from, ll to, ll cost) {
    this->edges.push_back(Edge(from, to, cost));
  }
};

// クラスカル法
// 連結グラフの最小全域木を求める
class Kruskal {
private:
  Graph graph;
  vector<Edge> MinimumSpanningTree;
  ll minimumCost;
  void searchMinimumSpanningTree() {
    UnionFindTree uf(graph.nodes);
    sort(all(graph.edges));
    itrep(edge, graph.edges) {
      if (!uf.same(edge->from, edge->to)) {
        uf.unite(edge->from, edge->to);
        MinimumSpanningTree.push_back(*edge);
      }
    }
  }

public:
  Kruskal(Graph graph) { this->graph = graph; }
  ll getMinimumSpanningTreeCost() {
    searchMinimumSpanningTree();
    ll cost = 0;
    itrep(it, MinimumSpanningTree) { cost += it->cost; }
    return cost;
  }
};

// ダイクストラ法 O((E+V)logV)
// 最小経路問題を解くためのアルゴリズム。辺の重みに負数を含む場合は利用不可
class Dijkstra {
private:
  Graph graph;
  map<ll, vector<Edge>> fromPaths;
  vl distances;
  vl srcs;
  ll start;

public:
  Dijkstra(Graph graph) {
    this->graph = graph;
    itrep(edge, graph.edges) {
      fromPaths[edge->from].push_back(*edge);
      fromPaths[edge->to].push_back(Edge(edge->to, edge->from, edge->cost));
    }
  }
  void searchMinimumPathFrom(ll start) {
    this->start = start;
    // 複数回呼ばれる度に計算する
    this->distances = vl(graph.nodes + 1, INF);
    this->srcs = vl(graph.nodes + 1, INF);

    priority_queue<ll> pq;
    distances[start] = 0;
    srcs[start] = -1;

    pq.push(start);
    while (!pq.empty()) {
      int u = pq.top();
      pq.pop();

      itrep(edge, fromPaths[u]) {
        int v = edge->to;
        int w = edge->cost;
        if (distances[v] > distances[u] + w) {
          distances[v] = distances[u] + w;
          srcs[v] = u;
          pq.push(v);
        }
      }
    }
  };
  ll getDistance(ll n) { return this->distances[n]; }
  ll getFrom(ll n) { return this->srcs[n]; }
};

// ベルマンフォード O(|V||E|)
// 非負コストが含まれていても最短経路問題を解くためのアルゴリズム。閉路の検出も可能
class BellmanFord {
private:
  Graph graph;
  // 閉路が含まれるかは個々のノードごとに管理する必要あり
  vector<bool> hasNegativeCycles;
  vector<ll> distances;

public:
  BellmanFord(Graph graph) {
    this->graph = graph;
    this->distances = vector<ll>(this->graph.nodes + 1, INF);
    this->hasNegativeCycles = vector<bool>(this->graph.nodes + 1, false);
  }
  void searchMinimumPathFrom(ll src) {
    this->distances[src] = 0;

    for (ll i = 0; i < graph.nodes - 1; i++) {
      itrep(edge, graph.edges) {
        ll u = edge->from;
        ll v = edge->to;
        ll w = edge->cost;
        if (this->distances[u] + w < this->distances[v]) {
          this->distances[v] = this->distances[u] + w;
        }
      }
    }

    itrep(edge, graph.edges) {
      ll u = edge->from;
      ll v = edge->to;
      ll w = edge->cost;
      if (this->distances[u] + w < this->distances[v]) {
        this->hasNegativeCycles[v] = true;
      }
      if (this->hasNegativeCycles[u] == true) {
        this->hasNegativeCycles[v] = true;
      }
    }
  }
  ll getDistance(ll n) { return this->distances[n]; }
  bool hasNegativeCycle(ll n) { return this->hasNegativeCycles[n]; }
};

void solve(long long N, long long M, std::vector<long long> a,
           std::vector<long long> b, std::vector<long long> c) {
  Graph g(N);
  rep(m, 0, M) { g.addEdge(a[m], b[m], c[m]); }

  Dijkstra dijkstra(g);

  set<pair<ll, ll>> passed;
  rep(s, 1, N + 1) {
    dijkstra.searchMinimumPathFrom(s);
    rep(e, 1, N + 1) {
      if (dijkstra.getFrom(e) != -1) {
        passed.insert(mp(dijkstra.getFrom(e), e));
      }
    }
  }

  int ans = 0;
  rep(m, 0, M) {
    if (find(all(passed), mp(a[m], b[m])) == passed.end()) {
      ans++;
    }
  }

  print(ans);
}

int main() {
  long long N;
  scanf("%lld", &N);
  long long M;
  scanf("%lld", &M);
  std::vector<long long> a(M);
  std::vector<long long> b(M);
  std::vector<long long> c(M);
  for (int i = 0; i < M; i++) {
    scanf("%lld", &a[i]);
    scanf("%lld", &b[i]);
    scanf("%lld", &c[i]);
  }
  solve(N, M, std::move(a), std::move(b), std::move(c));
  return 0;
}


Measured memory_bytes: 384