Go: package main

import (
	"bufio"
	"fmt"
	"os"
	"strconv"
)

const (
	MAX_N      = 200
	MAX_WEIGHT = 2000
)

type Edge struct {
	start  int
	end    int
	weight int
}

type ShortestInfo struct {
	edges    []Edge
	shortest int
}

func main() {
	sc := bufio.NewScanner(os.Stdin)
	sc.Split(bufio.ScanWords)

	n, err := nextInt(sc)
	if err != nil {
		panic(err)
	}

	shortestList := make([]ShortestInfo, n)
	for i := 1; i < n; i++ {
		shortestList[i] = ShortestInfo{edges: []Edge{}, shortest: MAX_N*MAX_WEIGHT + 1}
	}

	adjacentMatrix := make([][]int, n)
	for i := 0; i < n; i++ {
		adjacentMatrix[i] = make([]int, n)
		for j := 0; j < n; j++ {
			v, err := nextInt(sc)
			if err != nil {
				panic(err)
			}
			adjacentMatrix[i][j] = v
		}
	}

	mst([]int{1}, shortestList, adjacentMatrix)
	fmt.Println(calculateMinWeight(shortestList))
}

func calculateMinWeight(shortestList []ShortestInfo) int {
	visitedList := make([]bool, len(shortestList))
	visitedList[0] = true
	sumWeight := 0
	for !visitedAll(visitedList) {
		shortestInfo := shortestList[0]
		shortestList = shortestList[1:]
		edges := shortestInfo.edges
		for _, edge := range edges {
			if !visitedList[edge.end-1] {
				visitedList[edge.end-1] = true
				sumWeight += edge.weight
			}
		}
	}
	return sumWeight
}

func visitedAll(visitedList []bool) bool {
	for _, v := range visitedList {
		if !v {
			return false
		}
	}
	return true
}

func mst(nodeStack []int, shortestList []ShortestInfo, adjacentMatrix [][]int) {
	for len(nodeStack) > 0 {
		currentNode := nodeStack[0]
		nodeStack = nodeStack[1:]
		currentShortest := getShortest(currentNode, shortestList)
		adjacents := findAdjacents(currentNode, adjacentMatrix)
		for i := 0; i < len(adjacents); i++ {
			adj := adjacents[i]
			s := getShortest(adj.end, shortestList)
			if currentShortest.shortest+adj.weight < s.shortest || (currentShortest.shortest+adj.weight == s.shortest && len(currentShortest.edges)+1 > len(s.edges)) {
				setShortest(adj.end, adj, currentShortest, shortestList)
				nodeStack = append(nodeStack, adj.end)
			}
		}
	}
}

func getShortest(node int, shortestList []ShortestInfo) ShortestInfo {
	return shortestList[node-1]
}

func setShortest(node int, edge Edge, currentShortest ShortestInfo, shortestList []ShortestInfo) {
	newEdges := make([]Edge, len(currentShortest.edges)+1)
	for i := 0; i < len(newEdges)-1; i++ {
		newEdges[i] = currentShortest.edges[i]
	}
	newEdges[len(newEdges)-1] = edge
	shortestInfo := ShortestInfo{edges: newEdges, shortest: currentShortest.shortest + edge.weight}
	shortestList[node-1] = shortestInfo
}

func findAdjacents(currentNode int, adjacentMatrix [][]int) []Edge {
	adjacents := adjacentMatrix[currentNode-1]
	edges := []Edge{}
	for i, v := range adjacents {
		if v > 0 {
			edges = append(edges, Edge{start: currentNode, end: i + 1, weight: v})
		}
	}
	return edges
}

func nextInt(sc *bufio.Scanner) (int, error) {
	sc.Scan()
	return strconv.Atoi(sc.Text())
}

C++: #include <iostream>
#include <utility>
#include <algorithm>
using namespace std;

int m,n,x,ans;
int P[100+10],edge1[10000+10],edge2[10000+10];


int root(int a){
	if (P[a] == a) return a;
	return (P[a] = root(P[a]));
}

bool same(int a, int b){
	return root(a)==root(b);
}
	
void unite(int a, int b){
	P[root(a)] = root(b);
}

int main() {
	pair<int,int> edges[10000+10];
	cin >> n;
	
	for (int i=1; i<=n; i++){
		P[i] = i;
	}
	
	m = 0;
	for (int i=1; i<=n; i++){
		for (int j=1; j<=n; j++){
			cin >> x;
			if (x>-1){
				edge1[m] = i;
				edge2[m] = j;
				edges[m] = make_pair(x, m);
				m+=1;
			}
		}
	}
	
	sort(edges, edges+m);
	n=1;
	for (int i=0; i<m; i++){
		if (n>=m) break;
		if (!same(edge1[edges[i].second], edge2[edges[i].second])){
			unite(edge1[edges[i].second], edge2[edges[i].second]);
			ans += edges[i].first;
			n+=1;
		}
	}
	
	cout << ans << endl;
	
}

C++: #include <bits/stdc++.h>

using namespace std;
using LL = long long;
using P = pair<int, int>;
using Tapris = tuple<int, int, int>;

#define REP(i, n) for(LL i = 0; i < n; ++i)
#define FOR(i, a, n) for(LL i = a; i < n; ++i)
#define pb(a) push_back(a)
#define all(x) (x).begin(),(x).end()

const int INF = (int)1e9;
const LL INFL = (LL)1e15;
const int MOD = 1e9 + 7;

int dy[]={0, 0, 1, -1, 0};
int dx[]={1, -1, 0, 0, 0};

//#define int long long

class UnionFind {
    private:
        vector<int> parent;  // 親
        vector<int> rank;    // 木の深さ
    public:
        UnionFind(int n);          // n要素で初期化
        int Find(int x);           // 木の根を返す
        void Unite(int x, int y);  // xとyの属する集合を併合
        bool Same(int x, int y);   // xとyが同じ集合に属するか否か
};

UnionFind::UnionFind(int n) : parent(vector<int>(n)), rank(vector<int>(n)) {
    for (int i = 0; i < n; i++) {
        parent[i] = i;
        rank[i] = 0;
    }
}

int UnionFind::Find(int x) {
    if (parent[x] == x) {
        return x;
    } else {
        return parent[x] = Find(parent[x]);
    }
}

void UnionFind::Unite(int x, int y) {
    x = Find(x);
    y = Find(y);
    if (x == y) return;

    if (rank[x] < rank[y]) {
        parent[x] = y;
    } else {
        parent[y] = x;
        if (rank[x] == rank[y]) rank[x]++;
    }
}

bool UnionFind::Same(int x, int y) { return Find(x) == Find(y); }

template <typename T>
struct Edge {
    int src, to;
    T cost;
    Edge(int to, T cost) : src(-1), to(to), cost(cost) {}
    Edge(int src, int to, T cost) : src(src), to(to), cost(cost) {}
};

template<typename T>
using Edges = vector<Edge<T>>;
template<typename T>
using WeightedGraph = vector<Edges<T>>;
using UnWeightedGraph = vector<vector<int>>;
template<typename T>
using Matrix = vector<vector<T>>;


template <typename T>
class Kruskal {
    private:
        int V; // 頂点数
        Edges<T> edges;
        WeightedGraph<T> minimumSpanningTree;
    public:
        Kruskal(int n);
        void AddEdge(int from, int to, T cost);
        T Run();
        WeightedGraph<T> GetMinimumSpanningTree();
};

template <typename T>
Kruskal<T>::Kruskal(int n) : V(n), minimumSpanningTree(n) {}

template <typename T>
void Kruskal<T>::AddEdge(int from, int to, T cost) {
    edges.push_back(Edge<T>(from, to, cost));
}

template <typename T>
T Kruskal<T>::Run() {
    sort(edges.begin(), edges.end(), [](const Edge<T> &a, const Edge<T> &b){
        return a.cost < b.cost;
    });
    UnionFind tree(V);
    T total = 0;
    
    for(auto &e : edges){
        if(!tree.Same(e.src, e.to)){
            tree.Unite(e.src, e.to);
            total += e.cost;
            minimumSpanningTree[e.src].push_back(Edge<T>(e.to, e.cost));
            minimumSpanningTree[e.to].push_back(Edge<T>(e.src, e.cost));
        }
    }

    return total;
}

template <typename T>
WeightedGraph<T> Kruskal<T>::GetMinimumSpanningTree(){
    return minimumSpanningTree;
}

/*************** using variables ***************/

/**********************************************/

signed main(){
    cin.tie(0);
    ios::sync_with_stdio(false);
    
    int n;
    cin >> n;
    Kruskal<int> kruskal(n);
    REP(i, n){
        REP(j, n){
            int x;
            cin >> x;
            if(x != -1) kruskal.AddEdge(i, j, x);
        }
    }
    int total = kruskal.Run();
    cout << total << endl;
}