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))
}

Python: import sys

def readinput():
    n=int(input())
    nMat=[]
    for _ in range(n):
        m=list(map(int,input().split()))
        nMat.append(m)
    
    return n,nMat

WHITE=0
GRAY=1
BLACK=2
INFTY=sys.maxsize
def prim(n,nMat):

    color=[WHITE]*n
    d=[INFTY]*n
    p=[-1]*n

    d[0]=0
    p[0]=-1

    while True:
        mincost=INFTY
        for i in range(n):
            if color[i]!=BLACK and d[i] < mincost:
                mincost=d[i]
                u=i

        if mincost==INFTY:
            break

        # Tに属する頂点とV-Tに属する頂点をつなぐ辺の中で最小のコストのもの(u,p[u])が選ばれた
        color[u]=BLACK

        # V-Tに属する各頂点vとTに属する頂点をつなぐ辺の中で最小のコストのものが(v,p[v])でそのコストがd[v]
        # uがTに入ったことで辺(u,v)のコストとd[v]を比べてd[v]が大きかったらp[v]=u, d[v]=辺(u,v)のコストで更新
        for v in range(n):
            if color[v]!=BLACK and nMat[u][v]!=-1:
                if nMat[u][v]<d[v]:
                    d[v]=nMat[u][v]
                    p[v]=u
                    color[v]=GRAY
    return p,d


def main(n,nMat):
    p,d=prim(n,nMat)
    
    ans=0
    for i in range(n):
        if p[i] != -1:
            ans+=d[i]
    
    return ans

if __name__=='__main__':
    n,nMat=readinput()
    ans=main(n,nMat)
    print(ans)

Python: from heapq import heappush, heappop, heapify

N = int(input())
edges = [[] for i in range(N)]
for v in range(N):
    for w, c in enumerate(map(int, input().split())):
        if c != -1:
            edges[v].append((w, c))

visited = [0]*N
que = [(c, w) for w, c in edges[0]]
visited[0] = 1
heapify(que)

d=[0]+[10**9]*(N-1)

#左がコスト
ans = 0
while que:
    c, u = heappop(que)
    if visited[u]:
        continue
    visited[u] = 1
    d[u]=c
    for v, c in edges[u]:
        if visited[v]:
          continue
        heappush(que, (c, v))
print(sum(d))

Python: graph_n=int(input())


edge_dict={}



for i in range(graph_n):
    tmp_row=list(map(int,input()))
    for j in range(graph_n):
        if(tmp_row[j]!=-1):
            try:
                edge_dict[tmp_row].append([i,j])
            except:
                edge_dict[tmp_row]=[[i,j]]

sorted_edge=sorted(edge_dict.items())
vertex_flag=[0]*graph_n

searched_vertex_num=0
cost=0

for edges in sorted_edge:
    for edge in edges[1]:
        if(vertex_flag[edge[0]]==0 and vertex_flag[edge[1]]==0):
            vertex_flag[edge[0]]=1
            vertex_flag[edge[1]]=1
            seached_vertex_num+=2
            cost+=edges[0]
            if(graph_n <=searched_vertex_num):
                break

        elif(vertex_flag[edge[0]]==0 and vertex_flag[edge[1]]==1):
            vertex_flag[edge[0]]=1
            vertex_flag[edge[1]]=1
            seached_vertex_num+=1
            cost+=edges[0]
            if(graph_n <=searched_vertex_num):
                break

        elif(vertex_flag[edge[0]]==1 and vertex_flag[edge[1]]==0):
            vertex_flag[edge[0]]=1
            vertex_flag[edge[1]]=1
            seached_vertex_num+=1
            cost+=edges[0]
            if(graph_n <=searched_vertex_num):
                break

    if(graph_n <=searched_vertex_num):
        break


print(cost)

Python: # -*- coding: utf-8 -*-
'''
所要時間は、分位であった。
'''
# ライブラリのインポート
#import re #正規表現
import sys
#import heapq
import bisect
#import collections
#import math

def main():
    n = int(input())
    X = [[] for i in range(n)]
    l = []
    for i, line in enumerate(sys.stdin):
        X[i] = list(line.strip("\n").split())
        for j in range(i,n):
            c = int(X[i][j])
            if c == -1:
                continue
            else:
                r = (c,i,j)
                bisect.insort(l, r)
    
    uf = UnionFind(n)
    k = 0
    ans = 0
    count = 0
    while(count < n):
        try: tmp = l[k]
        except: break
        x = tmp[1]
        y = tmp[2]
        if not uf.same(x,y):
            uf.unite(x, y)
            ans += tmp[0] 
            count += 0
        k += 1
    print(ans)

class UnionFind:
    def __init__(self,n):
        self.p = [i for i in range(n)]
        return
    
    def root(self,x):
        while(1):
            if (self.p[x] == x): break
            y = x
            x = self.p[x]
            self.p[y] = self.p[x]
        return x

    def unite(self ,x, y):
        rx = self.root(x)
        ry = self.root(y)
        if rx == ry: return
        else:
            self.p[rx] = ry
            return 
    
    def same(self, x, y):
        rx = self.root(x)
        ry = self.root(y)
        return rx == ry


    
if __name__ == '__main__':
    main()