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: def prim():
    distance[0] = 0
    parent[0] = -1

    while True:
        mincost = float('inf')
        for i in range(n):
            if color[i] != 'black' and distance[i] < mincost:
                mincost = distance[i]
                u = i
        if mincost == float('inf'):
            break

        color[u] = 'black'

        for v in range(n):
            if color[v] != 'black' and adjMat[u][v] != float('inf'):
                if adjMat[u][v] < distance[v]:
                    distance[v] = adjMat[u][v]
                    parent[v] = u
                    color[v] = 'gray'


n = int(input())
color = ['white'] * n
parent = [-1] * n
distance = [float('inf')] * n

adjMat = [[0] * n for _ in range(n)]
for i in range(n):
    adjRow = list(map(int, input().split()))
    for v, weight in enumerate(adjRow):
        if weight == -1:
            adjMat[i][v] = float('inf')
        else:
            adjMat[i][v] = weight

prim()

print(sum(distance))

Python: n = int(input())
adj = [[0 for i in range(n)] for j in range(n)]

for i in range(n):
    tmp = list(map(int, input().split()))
    u = tmp[0]
    u = u -1
    k = tmp[1]
    v = tmp[2:]
    for j in range(k):
        adj[u][v[j]-1] = 1
        
for i in range(n):
        print(" ".join(list(map(str, adj[i]))))

Python: n=int(input())
m = [[-1 for i in range(n)] for j in range(n)]
for i in range(n): #隣接の辺のコストを入力
  nums = list(map(int, input().split()))
  for j in range(n):
    m[i][j] = nums[j]

d=[0]+[10**9]*n
visited=[0]*n
while 1:
  u=-1
  for i in range(n):
    if not visited[i] and (u<0 or d[i]<d[u]):
      u = i
  if u < 0:
    break
  visited[u]=1
  for v in range(n):
    t = m[u][v]
    if t + 1 and d[v] > t:
      d[v] = t
print(sum(d))

Python: class Node(object):
    def __init__(self, V):
        self.V = V
        self.d = float('inf')
        self.p = -1
        self.state = -1
        # -1 -> undiscovered
        #  1 -> finished
        #  0 -> found(not finished)


M = [float('inf')] * 5
for i in range(5):
    M[i] = [float('inf')] * 5

n = int(input())
nodes = [0] * 100
for i in range(n):
    V = [int(x) for x in input().split()] 
    for (j,m) in enumerate(V):
        M[i][j] = m if not m == -1 else float('inf') 
    nodes[i] = Node([])

nodes[0].d = 0
while True:
    mincost = float('inf')
    u = -1
    for i in range(n):
        node = nodes[i]
        if (mincost > node.d) and (node.state != 1):
            u = i
            mincost = node.d

    if u == -1:
        break

    nodes[u].state = 1
    for v in range(n):
        node = nodes[v]
        if (node.state != 1) and (M[u][v] != float('inf')):
            if node.d > M[u][v]:
                node.d = M[u][v]
                node.p = u
                node.state = 0

sum = 0
for i in range(n):
    if nodes[i].p != -1:
        sum += M[i][nodes[i].p]

print(sum)

Python: def main():

    n = int(input())
    a_list = [list(map(int, input().split())) for _ in [0]*n]
    abc = []
    for i in range(n):
        for j in range(i+1, n):
            if a_list[i][j] > -1:
                abc.append((i, j, a_list[i][j]))

    def Kruskal(n, abc, weight=True):
        class unionfind():
            # size:要素数,tree：unionfind木
            def __init__(self, size):  # self,要素数
                self.size = size
                self.tree_root = list(range(self.size))
                self.tree_depth = [1]*self.size

            # rootを探す
            def root(self, index):
                temp_list = []
                temp = self.tree_root[index]
                while index != temp:
                    temp_list.append(index)
                    index = temp
                    temp = self.tree_root[index]
                for i in temp_list:
                    self.tree_root[i] = index
                return index

            # 結合
            def unite(self, index1, index2):
                r1 = self.root(index1)
                r2 = self.root(index2)
                if r1 != r2:
                    d1, d2 = self.tree_depth[r1], self.tree_depth[r2]
                    if d1 <= d2:
                        self.tree_root[r1] = r2
                        self.tree_depth[r2] = max(d1+1, d2)
                    else:
                        self.tree_root[r2] = r1
                        self.tree_depth[r1] = max(d2+1, d1)

            # 同じか判定
            def same(self, index1, index2):
                r1 = self.root(index1)
                r2 = self.root(index2)
                return r1 == r2

        uf = unionfind(n)
        ret = 0
        if weight:
            abc.sort(key=lambda x: x[2])
        for a, b, c in abc:
            if not uf.same(a, b):
                ret += c
                uf.unite(a, b)
        return ret

    print(Kruskal(n, abc))


main()