Go: package main

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

// Define disjoint-set forests

type vertexNo int

type vertex struct {
	number vertexNo
	rank int
	parent *vertex
}

func makeSet(number vertexNo) vertex {
	return vertex {
		number: number,
		rank: 0,
		parent: nil,
	}
}

func union(x, y *vertex) *vertex {
	return link(findSet(x), findSet(y))
}

func link(x, y *vertex) *vertex {
	if x.rank > y.rank {
		y.parent = x
		return x
	} else {
		x.parent = y
		if x.rank == y.rank {
			y.rank += 1
		}
		return y
	}
}

func findSet(v *vertex) *vertex {
	if v.parent == nil {
		return v
	}
	v.parent = findSet(v.parent)
	return v.parent
}

// Function to calculate minimum spanning tree

type matrix [][]int

type edge struct {
	one vertexNo
	two vertexNo
	weight int
}

const(
	MAX_VERTICES = 100
)

func newEdgesFromMatrix(matrix matrix) []edge {
	edges := make([]edge, 0, MAX_VERTICES * MAX_VERTICES)

	for i := 0; i < len(matrix); i++ {
		row := matrix[i]
		for j := i; j < len(row); j++ {
			if row[j] >= 0 {
				edge := edge{one: vertexNo(i+1), two: vertexNo(j+1), weight: row[j]}
				edges = append(edges, edge)
			}
		}
	}

	return edges
}

func solve(matrix matrix) int {
	nVertices := len(matrix)

	// initialize vertices
	vertices := make([]vertex, nVertices)
	for i := 0; i < nVertices; i++ {
		vertices[i] = makeSet(vertexNo(i+1))
	}

	// prepare edges sorted in the ascending order of weight
	edges := newEdgesFromMatrix(matrix)
	sort.Slice(edges, func(i, j int) bool {
		return edges[i].weight < edges[j].weight
	})

	unionCount := 0
	weightSum := 0
	for unionCount < nVertices-1 {
		for i := 0; i < len(edges); i++ {
			edge := edges[i]
			v1 := &vertices[edge.one-1]
			v2 := &vertices[edge.two-1]
			rep1 := findSet(v1)
			rep2 := findSet(v2)
			if rep1.number == rep2.number {
				continue
			}
			union(rep1, rep2)
			edges = append(edges[0:i], edges[i+1:]...)
			weightSum += edge.weight
			unionCount++
			break
		}
	}

	return weightSum
}

// main

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

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

	matrix := parseMatrix(n, sc)

	edges := newEdgesFromMatrix(matrix)
	sort.Slice(edges, func(i, j int) bool {
		return edges[i].weight < edges[j].weight
	})

	fmt.Println(solve(matrix))
}

func parseMatrix(n int, sc *bufio.Scanner) [][]int {
	matrix := make([][]int, n)
	for i := 0; i < n; i++ {
		matrix[i] = make([]int, n)
		for j := 0; j < n; j++ {
			x, err := nextInt(sc)
			if err != nil {
				panic(err)
			}
			matrix[i][j] = x
		}
	}
	return matrix
}

func nextText(sc *bufio.Scanner) string {
	sc.Scan()
	return sc.Text()
}

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

C++: #include <bits/stdc++.h>
using namespace std;

#define rep(i, n) REP(i, 0, n)
#define REP(i, k, n) for(auto i = k; i != n; i++)
#define rrep(i, n) RREP(i, n, 0)
#define RREP(i, n, k) for(auto i = n; i != k; i--)
#define all(x, r) (x), (x)+(r)
#define ALL(x) (x).begin(), (x).end()
#define debug(x) cerr << #x << " " << x << endl
#define exst(x, data) (data).find(x) != (data).end()
#define mp make_pair
#define mt make_tuple
#define pb push_back
#define eb emplace_back
#define np next_permutation
#define b32 bitset<32>

using ll = long long;
using Pii = pair<int,int>;
using Tiii = tuple<int, int, int>;
template<class T>using V = vector<T>;

// class Kruskal {
// private:
//
//
// public:
//     int node_n;
//     vector<vector<int>> cost;
//
//
//     Kruskal(int n) {
//         node_n = n;
//     }
//
// };

const int MAX_V = 101;
int cost[MAX_V][MAX_V];
int mincost[MAX_V];
bool used[MAX_V];
int node_n;

int prim() {
    for(int i=0; i<node_n; i++) {
        mincost[i] = INT_MAX;
        used[i] = false;
    }
    mincost[0] = 0;
    int res = 0;

    while(true) {
        int v = -1;

        for(int u=0; u<node_n; u++) {
            if (!used[u] && (v == -1 || mincost[u] < mincost[v]))
                v = u;
        }
        if (v == -1) break;
        used[v] = true;
        res += mincost[v];

        for(int u=0; u<node_n; u++) {
            mincost[u] = min(mincost[u], cost[v][u]);
        }
    }
    return res;
}

int main(){
    cin.tie(0);
    ios::sync_with_stdio(false);

    int n; cin >> n; node_n = n;
    rep(i,n) rep(j,n) cost[i][j] = INT_MAX;
    rep(i,n) rep(j,n) {
        int c;
        cin >> c;
        if(c != -1) cost[i][j] = c;
    }

    cout << prim() << endl;

    // rep(i,n) {rep(j,n) cout << cost[i][j] << " "; cout << endl;}
    return 0;
}

C++: //Kruskal's algorithm
#include <iostream>
#include <algorithm>
#include <vector>

using namespace std;

struct E
{
    int weight;
    int begin;
    int end;
};

struct Unionfind
{
    vector<int> parents;

    Unionfind(int n) : parents(n)
    {
        for (int i = 0; i < n; i++)
        {
            parents[i] = i;
        }
    }

    int root(int x)
    {
        if (parents[x] == x)
        {
            return x;
        }
        return parents[x] = root(parents[x]);
    }

    void unite(int x, int y)
    {
        int par_x = root(x);
        int par_y = root(y);
        if (par_x == par_y)
        {
            return;
        }
        parents[par_x] = par_y;
    }

    bool same(int x, int y)
    {
        int par_x = root(x);
        int par_y = root(y);
        return par_x == par_y;
    }
};

int main()
{
    int n;
    cin >> n;
    struct Unionfind tree(n);

    vector<E> e(n * (n - 1) / 2);
    int index = 0;
    for (int i = 0; i < n; i++)
    {
        for (int j = 0; j < n; j++)
        {
            int temp;
            cin >> temp;
            if (i < j)
            {
                e[index].weight = temp;
                e[index].begin = i;
                e[index].end = j;
                index++;
            }
        }
    }

    sort(e.begin(), e.end(),
         [](const E &l, const E &r) {
             return l.weight < r.weight;
         });

    int ans = 0;
    for (int i = 0; i < e.size(); i++)
    {
        if (e[i].weight == -1)
        {
            continue;
        }

        if (tree.same(e[i].begin, e[i].end))
        {
            continue;
        }
        else
        {
            tree.unite(e[i].begin, e[i].end);
            ans += e[i].weight;
        }
    }

    cout << ans << endl;
}

/*

<INPUT>
5
 -1 2 3 1 -1
 2 -1 -1 4 -1
 3 -1 -1 1 1
 1 4 1 -1 3
 -1 -1 1 3 -1

<OUTPUT>
5

*/

C++: #include <iostream>

using namespace std;
#define MAX 100
#define NIL (1<<21)
#define WHITE 0
#define GRAY 1
#define BLACK 2
int G[MAX][MAX];//图的邻接矩阵
int color[MAX];//节点状态
int n;
int d[MAX];//最小权值
int p[MAX];//父亲节点
void prim(){
    for(int i=0;i<n;i++){
        color[i] = WHITE;
        d[i] = NIL;
        p[i] = -1;
    }
    d[0] = 0;
    while(1){
        int u;
        int mincost = NIL;
        for(int i=0;i<n;i++){//循环找到下一个要加入到T中的
            if(color[i]!=BLACK&&d[i]<mincost){
                mincost = d[i];
                u = i;
            }
        }
        if(mincost==NIL){
            break;
        }
        color[u] = BLACK;
        for(int v=0;v<n;v++){//给相邻顶点的d赋值（与之前的相比较，找到最小的）
            if(color[v]!=BLACK&&G[u][v]!=-1){
                if(G[u][v]<d[v]){
                    d[v] = G[u][v];
                    p[v] = u;
                    color[v] = GRAY;
                }
            }
        }
    }


}
int main()
{
    cin>>n;
    for(int i=0;i<n;i++){
        for(int j=0;j<n;j++){
            cin>>G[i][j];
        }
    }
    prim();
    int sum = 0;
    for(int i=0;i<n;i++){
        sum += d[i];
    }
    cout<<sum<<endl;

    return 0;
}