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 root(x):
    path_to_root = []
    while x != P[x]:
        path_to_root.append(x)
        x = P[x]
    for node in path_to_root:
        P[node]=x
    return x

def unite(x,y):
    P[root(x)] = root(y)

def is_same_set(x,y):
    return root(x) == root(y)

n = int(input())
P = [i for i in range(n)]
length=[]
points=[]
for i in range(n):
    length.append(list(map(int,input().split())))
for i in range(n):
    for j in range(i,n):
        if length[i][j] != -1:
            points.append((i,j,length[i][j]))
	
points.sort(key=lambda x:x[2])

totalweight = 0
for p in points:
    i,j,w = p
    if not is_same_set(i,j):
       totalweight += w
       unite(i,j)

print(totalweight)

Python: n = int(input())
A = [[int(i) for i in input().strip().split(" ")] for j in range(n)]

dp1={}

for i in range(n):
    for j in range(n):
        if A[i][j] != -1 :
            dp1[(i,j)] = A[i][j]
key = []
value = []
for i,j in sorted(dp1.items(), key=lambda x:x[1]):
    key.append(i)
    value.append(j)

c_v = []
N = len(key)
len_c_v = 0
ans = 0
itr = 0
while itr != N:
    if len_c_v == n:
        break
    i = key[itr][0]
    j = key[itr][1]
    if (i in c_v) == False and (j in c_v) == False:
        c_v.append(i)
        c_v.append(j)
        ans += value[itr]
        len_c_v += 2
        itr += 1
    elif (i in c_v) == False:
        c_v.append(i)
        ans += value[itr]
        itr += 1
        len_c_v += 1
    elif (j in c_v) == False:
        c_v.append(j)
        ans += value[itr]
        itr += 1
        len_c_v += 1
    else:
        itr += 1


if len_c_v != n:
    print(-1)
else:
    print(ans)

Python: n = int(input())
a = []

for i in range(n):
    inp = input()
    if "-1" in inp:
        inp = inp.replace("-1","10000")
    a.append(list(map(int, inp.split())))

w = 0
v = set()
v.add(0)

while len(v) < n:
    min_w   = 10000
    min_idx = 0
    i = 0
    for node in v:
        if min_w > min(a[node]):
            min_w = min(a[node])
            i = node
            min_idx = a[i].index(min_w)
    if min_idx in v:
        a[i][min_idx] = 10000
        continue
    else:
        w += min_w
        v.add(min_idx)

print(w)

Python: import sys
sys.setrecursionlimit(10**6)
input=sys.stdin.readline

class union_find():
    
    def __init__(self,n):
        self.n=n
        self.root=[-1]*(n+1)
        self.rank=[0]*(n+1)

    def find_root(self,x):
        if self.root[x]<0:
            return x
        else:
            self.root[x]=self.find_root(self.root[x])
            return self.root[x]

    def unite(self,x,y):
        x=self.find_root(x)
        y=self.find_root(y)

        if x==y:
            return 
        elif self.rank[x]>self.rank[y]:
            self.root[x]+=self.root[y]
            self.root[y]=x
        else:
            self.root[y]+=self.root[x]
            self.root[x]=y

            if self.rank[x]==self.rank[y]:
                self.rank[y]+=1

    def same(self,x,y):
        return self.find_root(x)==self.find_root(y)

    def cnt(self,x):
        return -self.root[self.find_root(x)]

n=int(input().rstrip())
G=union_find(n)
g=[]
for k in range(n):
    a=[int(i) for i in input().split()]
    for j in range(n):
        if a[j]!=-1:
            g.append((k,j,a[j]))
g.sort(key=lambda x:x[2])
ans=0
for i in g:
    u,v,c=i
    if not G.same(u,v):
        G.unite(u,v)
        ans+=c
print(ans)

Python: from heapq import heappush, heappop

def search(v, u):
    while v != root[v]: v = root[v]
    while u != root[u]: u = root[u]
    
    return v, u

def rebuild(v, u, r):
    while v != root[v]: v, root[v] = root[v], r
    while u != root[u]: u, root[u] = root[u], r
    return v, u

n = int(input())
root = [i for i in range(n)]
depth = [1] * n

q = []

for i in range(n):
    for j, c in enumerate(list(map(int, input().split()))):
        if c == -1: continue
        heappush(q, (c, i, j))
        
ans = 0

while q:
    c, v, u = heappop(q)
    
    v_r, u_r = search(v, u)
    if v_r == u_r: continue
    
    ans += c
    
    v_d, u_d = depth[v_r], depth[u_r]
    if v_d == u_d:
        depth[v_r] += 1
        if depth[v_r] > 10: rebuild(v, u, v_r)
        
    elif v_d < u_d: v_r, u_r = u_r, v_r
    
    root[v_r] = u_r
    
print(ans)