Go: package main

import (
	"fmt"
	"sort"
)

type Edge struct {
	I int
	J int
	A int
}

func main() {
	var n int
	fmt.Scan(&n)

	g := make([][]int, n)
	edges := make([]Edge, 0, n*(n-1)/2)
	parents := make([]int, n)
	for i := 0; i < n; i++ {
		g[i] = make([]int, n)
		for j := 0; j < n; j++ {
			fmt.Scan(&g[i][j])
			if g[i][j] >= 0 {
				edges = append(edges, Edge{i, j, g[i][j]})
			}
		}
		parents[i] = i
	}
	sort.SliceStable(edges, func(i, j int) bool { return edges[i].A >= edges[j].A })

	sum := 0
	num := 0
	for len(edges) > 0 && num < n-1 {
		edge := edges[len(edges)-1]
		edges = edges[:len(edges)-1]

		if same(edge.I, edge.J, &parents) {
			continue
		}
		union(edge.I, edge.J, &parents)
		sum += edge.A
		num += 1
	}
	fmt.Println(sum)
}



func root(id int, parents *[]int) int {
	if id == (*parents)[id] {
		return id
	}
	return root((*parents)[id], parents)
}

func union(i, j int, parents *[]int) {
	(*parents)[root(j, parents)] = (*parents)[root(i, parents)]
}

func same(i, j int, parents *[]int) bool {
	return root(i, parents) == root(j, parents)
}

Python: def memoize(f):  
    cache = {}  
    def helper(x):  
        if x not in cache:              
            cache[x] = f(x)  
        return cache[x]  
    return helper 

def split_apex(a):
    if len(a) == 2:
        yield (a[0],), (a[1],)
    else:
        for i in range(0, len(a)):
            yield (a[i],), a[:i] + a[i + 1:]

@memoize
def wait(a):
    global g
    if len(a) == 1:
        return 0
    return min(calc_wait(apex, apices) for apex, apices in split_apex(a))

def calc_wait(apex, apices):
    global g
    w = [g[apex[0]][i] for i in apices if g[apex[0]][i] != -1]
    return  wait(apex) + wait(apices) + (min(w) if len(w) else 200000)

n = int(input())
g = [None] + [[None] + list(map(int, input().split())) for _ in range(n)]

a = tuple(i + 1 for i in range(n))
wait(a)

Python: 
import heapq

def main():

    INF = 1000000009
    n = int(input())
    e = [[] for _ in range(n)]
    for i in range(n):
        inf = list(map(int,input().split()))
        for j in range(n):
            if inf[j]!=-1:e[i].append([j,inf[j]])

    dp = [INF]*n
    finished = [False]*n
    dp[0] = 0
    pq = [[0,0]]
    heapq.heapify(pq)
    while pq:
        cost,v = heapq.heappop(pq)
        if dp[v]<cost:continue
        finished[v] = True
        for i in range(len(e[v])):
            u = e[v][i][0]
            ncost = e[v][i][1]
            if ncost < dp[u] and not finished[u]:
                dp[u] = ncost
                heapq.heappush(pq,[ncost,u])
    res = 0
    for i in range(n):res+=dp[i]
    print(res)


if __name__ == '__main__':
    main()

Python: 

WHITE = 0
GRAY = 1
BLACK = 2

INF = 2000000000

def prim():
    d[0] = 0
    p[0] = -1
    
    while True:
        mincost = INF
        for i in range(n):
            if color[i] != BLACK and d[i] < mincost:
                mincost = d[i]
                u = i
        if mincost == INF:
            break
        color[u] = BLACK
        
        for v in range(n):
            if color[v] != BLACK and m[u][v] != -1:
                if m[u][v] < d[v]:
                    d[v] = m[u][v]
                    p[v] = u
                    color[v] = GRAY
            

n = int(input())

m = [[0 for i in range(n)] for j in range(n)]
for i in range(n):
    nums=list(map(int,input().split()))
    for j in range(n):
        m[i][j] = nums[j]

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


prim()

sum = 0
for i in range(n):
    sum += d[i]

print(sum)

Python: INF = 1e9

n = int(input())

a = []
for i in range(n):
    a.append(list(map(int, input().split())))

def prim(n):
    flag = [0] * n
    d = [INF] * n
    d[0] = 0
    p = [-1] * n

    while True:
        min_cost = INF
        
        for i in range(n):
            if flag[i] != 1 and d[i] < min_cost:
                min_cost = d[i]
                u = i
        if min_cost == INF:
            break
        flag[u] = 1
        
        for v in range(n):
            if flag[v] != 1 and a[u][v] != -1:
                if a[u][v] < d[v]:
                    d[v] = a[u][v]
                    p[v] = u
    return sum(d)

print(prim(n))

Python: n=int(input())
# m=[list(map(int,input().split()))for _ in[0]*n]
m = [[-1 for i in range(n)] for j in range(n)]
d=[0]+[10**9]*n
b=[1]*n
a=0
while 1:
  u=-1
  for i in range(n):
    if b[i] and (u<0 or d[i]<d[u]):
      u=i
  if u<0:
    break
  b[u]=0
  a+=d[u]
  for v in range(n):
    t=m[u][v]
    if t+1 and d[v]>t:
      d[v]=t
print(a)

Python: import heapq

def make_adj_list(v):
    adj_list = [[-1 for i in range(v)] for j in range(v)]
    return adj_list

def prim(adj_list, v, s):
    # スタートを0とする
    min_d = 0
    heap = []
    used = []
    for i in range(v):
        used.append(False)
    used[s] = True
    for i in range(v):
        if adj_list[s][i] != -1:
            heapq.heappush(heap, (adj_list[s][i], i))
        #　スタートからつなぐことができる辺をheapに入れる

    while len(heap) != 0:
        cost, to = heapq.heappop(heap)
        if used[to]:
            continue
        min_d += cost
        used[to] = True
        for i in range(v):
            if adj_list[to][i] != -1:
                heapq.heappush(heap, (adj_list[to][i], i)) 
            #集合に入れた頂点からつなぐことができる辺をheapに入れる

    return min_d

def main():
    v = int(input())
    adj_list = make_adj_list(v)
    for i in range(v):
        adj_list[i] = [int(j) for j in input().split()]
    min_d = prim(adj_list, v, 0)
    print(min_d)

if __name__ == "__main__":
    main()

Python: class UnionFindTree:
    """
        Disjoint set data structure
        Union-Find tree
        complexity:
            init: O(n)
            find, unite, same: O(alpha(n))
    """
    def __init__(self, n):
        self.par = list(range(n))
        self.rank = [0] * n

    def find(self, x):
        if self.par[x] == x:
            return x
        else:
            self.par[x] = self.find(self.par[x])
            return self.par[x]

    def unite(self, x, y):
        x, y = self.find(x), self.find(y)
        if x == y:
            return
        elif self.rank[x] < self.rank[y]:
            self.par[x] = y
        else:
            self.par[y] = x
            if self.rank[x] == self.rank[y]:
                self.rank[x] += 1

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


class Kruskal:
    """
        Kruskal's algorithm: find Minimum Spanning Tree
        complexity:
            O(E logV)
    """
    def __init__(self, V, E, start=0, INF=10**9):
        """
        :param V: the number of vertices
        :param E:  adjacency list (undirected graph)
        :param start:
        :param INF:
        """
        self.kruskal(V, E)

    def kruskal(self, V, E):
        edges = []
        for v1 in range(V):
            for v2, cost in E[v1]:
                if v1 < v2:
                    edges.append((cost, v1, v2))
        edges.sort(reverse=True)
        self.mincost = 0
        self.min_spanning_tree = []
        uf = UnionFindTree(V)
        while len(self.min_spanning_tree) < V - 1:
            cost, v1, v2 = edges.pop()
            if not uf.same(v1, v2):
                self.mincost += cost
                uf.unite(v1, v2)
                self.min_spanning_tree.append((v1, v2, cost))

    def min_cost(self):
        return self.mincost

    def get_min_spanning_tree(self):
        return sorted(self.min_spanning_tree)


V = int(input())
edges = [[] for _ in range(V)]
for i in range(V):
    for j, d in enumerate(map(int, input().split())):
        if d != -1:
            edges[i].append((j, d))
mst = Kruskal(V, edges)
print(mst.min_cost())