Go: package main

import (
	"bufio"
	"fmt"
	"log"
	"math"
	"os"
	"strconv"
	"strings"
)

type color int

const (
	white color = iota // 未訪問
	mst                // MSTとして確定
)

// 頂点
type node struct {
	matrix   []int // 隣接行列
	minToMst int   // MSTへの重み最小値
	parent   int   // 最小値の相手
	color    color
}

func main() {
	scanner := bufio.NewScanner(os.Stdin)
	n := eGetInt(scanner)

	nodes := make([]node, n)
	for i := 0; i < n; i++ {
		nodes[i].matrix = eAtoi((strings.Fields(eGetline(scanner))))
		nodes[i].parent = -1
		nodes[i].minToMst = math.MaxInt16
		nodes[i].color = white
	}

	// 初回はnode[0]がMSTに入るように,minToMstを設定
	nodes[0].minToMst = 0
	for { // 全部チェックするまで

		// どの頂点を新たにMSTに取り込むか
		min := math.MaxInt16
		u := -1
		for i := 0; i < n; i++ {
			if nodes[i].color == mst {
				continue
			}
			if nodes[i].minToMst < min {
				u = i
				min = nodes[i].minToMst
			}
		}

		if u == -1 {
			break
		}
		// MSTに追加する頂点決定
		nodes[u].color = mst

		// MSTに属していない頂点それぞれについて,MSTとの最小の重みを更新
		for i := 0; i < n; i++ {
			if nodes[i].color == mst {
				continue
			}
			if nodes[i].matrix[u] == -1 {
				// 接してない
				continue
			}
			if nodes[i].matrix[u] < nodes[i].minToMst {
				// node[u]との重みが最小
				nodes[i].minToMst = nodes[i].matrix[u]
				nodes[i].parent = u
			}
		}
	}

	sum := 0
	for _, v := range nodes {
		// node[0]はparentが入っていない
		if v.parent != -1 {
			sum += v.matrix[v.parent]
		}
	}
	fmt.Println(sum)
}

func eGetInt(scanner *bufio.Scanner) int {
	t := eAtoi(strings.Fields(eGetline(scanner)))
	return t[0]
}

func eGetline(p *bufio.Scanner) string {
	if !p.Scan() {
		if err := p.Err(); err != nil {
			log.Fatal(err.Error())
		}
		return ""
	}
	return p.Text()
}

func eAtoi(s []string) []int {
	ints := make([]int, len(s))
	var err error
	for i, e := range s {
		ints[i], err = strconv.Atoi(e)
		if err != nil {
			log.Fatal(err.Error())
		}
	}
	return ints
}

C++: #include <bits/stdc++.h>
 
using namespace std;
namespace kruskal_n {
struct UnionFind {
	int sz;
	vector<int> par;
	UnionFind(int a) : sz(a), par(sz, -1) {}
	int root(int x) { return par[x] < 0 ? x : par[x] = root(par[x]);}
	bool same(int x, int y) { return root(x) == root(y);}
	bool unite(int x, int y) {
		x = root(x);
		y = root(y);
		if (x == y) return false;
		if (size(x) < size(y)) swap(x, y);
		par[x] += par[y];
		par[y] = x;
		return true;
	}
	int size(int x) { return -par[root(x)];}
	int size() { return sz;}
};
template<class W>
struct Edge {
	using type = Edge<W>;
	int from;
	int to;
	W w;
	template<class... Args> Edge(int f, int t, Args... args) : from(f), to(t), w(args...) {}
	inline bool operator<(const Edge& rhs) const { return w < rhs.w; }
	inline bool operator>(const type& rhs) const { return rhs < *this; }
	inline bool operator>=(const type& rhs) const { return !(*this < rhs); }
	inline bool operator<=(const type& rhs) const { return !(rhs < *this); }
	inline bool operator==(const type& rhs) const { return !(*this < rhs) && !(rhs < *this); }
	inline bool operator!=(const type& rhs) const { return (*this < rhs) || (rhs < *this); }
};
template<class W>
struct Edges : private vector<Edge<W>> {
	using type = vector<Edge<W>>;
	Edges() : type() {}
	Edges(int n) : type() {assert(0 && "Constructor must be empty");}
	template<class... Args> void add_edge(int u, int v, Args... args) {
		(*this).emplace_back(u, v, args...);
	}
	using type::begin; using type::end; using type::rbegin; using type::rend;
	using type::cbegin; using type::cend; using type::crbegin; using type::crend;
	using type::size; using type::operator[]; using type::at; using type::back; using type::front;
	using type::reserve; using type::resize; using type::assign; using type::shrink_to_fit;
	using type::clear; using type::erase; using type::insert; using type::swap; 
	using type::push_back; using type::pop_back; using type::emplace_back; using type::empty;
};
template<class T>
T Kruskal(Edges<T>& e) {
	sort(e.begin(), e.end());
	UnionFind u(e.size());
	T res = 0;
	for (auto &x : e) {
		if (u.unite(x.from, x.to)) res += x.w;
	}
	return res;
}
}
using kruskal_n::Kruskal;
template<class T> using graph = kruskal_n::Edges<T>;

int main() {
    int n; cin >> n;
    graph<long long> g;
    for (int i = 0; i < n; i++) {
        for (int j = 0; j < n; j++) {
            int c; cin >> c;
            if (c >= 0) g.add_edge(i, j, c);
        }
    }
    cout << Kruskal(g) << endl;
}

C++: #include <climits>
#include <iostream>
#include <vector>

using namespace std;

int prim(vector<vector<int>>& graph) {
    int n = graph.size() - 1;
    vector<bool> isInTree(n + 1);
    vector<int> weight(n + 1);
    for (int i = 1; i <= n; i++)
        weight[i] = INT_MAX;
    int v = 1;
    weight[v] = 0;
    while (true) {
        isInTree[v] = true;
        int minCost = INT_MAX;
        for (int i = 1; i <= n; i++) {
            if (!isInTree[i])
                continue;
            for (int j = 1; j <= n; j++) {
                int cost = graph[i][j];
                if (cost >= 0 && !isInTree[j] && cost <= minCost) {
                    v = j;
                    minCost = cost;
                }
            }
        }
        if (minCost == INT_MAX)
            break;
        weight[v] = minCost;
    }

    int result = 0;
    for (int i = 1; i <= n; i++)
        result += weight[i];
    return result;
}

int main() {
    int n;
    cin >> n;
    vector<vector<int>> graph(n + 1, vector<int>(n + 1));
    for (int i = 1; i <= n; i++)
        for (int j = 1; j <= n; j++)
            cin >> graph[i][j];

    int totalCost = prim(graph);
    cout << totalCost << endl;

    return 0;
}

C++: a