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: # -*- coding: utf-8 -*-
def prim(edges, *, start=0, adj_matrix=False, default_value=float('inf')):
    '''
    Returns the Minimum Spanning Tree(MST) of a given graph

    # sample input when given not as adjacency list (generally works faster)
    edges = [[(1, 2), (2, 5), (3, 4)],         # node 0
             [(0, 2), (3, 3), (4, 6)],         # node 1
             [(0, 5), (3, 2), (5, 6)],         # node 2
             [(0, 4), (1, 3), (2, 2), (4, 2)], # node 3
             [(1, 6), (3, 2), (5, 4)],         # node 4
             [(2, 6), (4, 4)]]                 # node 5

    # sample input when given as adjacency matrix
    edges = [[0, 2, 5, 4, inf, inf],           # node 0
             [2, 0, inf, 3, 6, inf],           # node 1
             [5, inf, 0, 2, inf, 6],           # node 2
             [4, 3, 2, 0, 2, inf],             # node 3
             [inf, 6, inf, 2, 0, 4],           # node 4
             [inf, inf, 6, inf, 4, 0]]         # node 5
    '''

    n = len(edges)
    mst = []
    cost = 0
    T = [start]

    while True:
        tmp_edges = [(cost, (u, v)) for u in T for v, cost in enumerate(edges[u]) if cost != default_value and v not in T] if adj_matrix else\
                    [(cost, (u, v)) for u in T for v, cost in edges[u] if v not in T]

        if tmp_edges:
            min_cost, min_edge = min(tmp_edges)
            mst.append(min_edge)
            cost += min_cost
            T.append(min_edge[1])

        else:
            if len(mst) != n - 1:
                raise NoSpanningError(
                    'There is no spanning tree in this graph (search started from node{})'.
                    format(start))

            else:
                return mst, cost


class NoSpanningError(Exception):
    pass


if __name__ == '__main__':
    '''
    an example of using this function
    AIZU ONLINE JUDGE - ALDS_1_12_A
    '''

    n = int(input())
    edges = [[int(cost) if int(cost) != -1 else float('inf') for cost in input().split()] for i in range(n)]

    print(prim(edges, adj_matrix=True)[1])

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

    while True:
        #MSTに追加する頂点を決定
        mincost = INF
        u = -1
        for i in range(n):
            if color[i] != black and mindist[i] < mincost:
                mincost = mindist[i]
                u = i
        if u == -1: break
        color[u] = black
        # MSTに含まれていないMSTとつながる隣接頂点の最小コストを探索
        for v in range(n):
            if color[v] == black: continue
            if M[u][v] == INF: continue
            if M[u][v] >= mindist[v]: continue
            mindist[v] = M[u][v] 
            parent[v] = u
            color[v] = gray
        
    sumcost = 0
    for i in range(n):
        if parent[i] == -1: continue
        sumcost += M[i][parent[i]]

    return sumcost

if __name__ == "__main__":
    n = int(input())
    INF = float("inf")
    M = [list(map(lambda x: INF if x == "-1" else int(x), input().split())) for _ in range(n)]
    white = 0; gray = 1; black =2
    color = [white]*n #各頂点の訪問状態 （white:未訪問 gray:暫定 black:確定）
    mindist = [INF]*n # 各頂点のMSTとつながる辺の最小コスト
    parent = [-1]*n #各頂点の親

    print(prim())

Python: #!/usr/bin/env python3
# n,m = map(int,sys.stdin.readline().split())
# a = tuple(map(int,sys.stdin.readline().split())) # single line with multi param
# a = tuple(sys.stdin.readline() for _ in range(n)) # multi line with single param
# a = tuple(tuple(map(int,sys.stdin.readline().rstrip().split()) for _ in range(N))) # multi line with multi param
# s = sys.stdin.readline().rstrip()
# n = int(sys.stdin.readline())
# INF = float("inf")
import sys,collections
N = int(sys.stdin.readline())
G = tuple(tuple(map(int,sys.stdin.readline().rstrip().split()) for _ in range(N))) # multi line with multi param

INF = float("inf")
W = [INF]*N
A = set(range(N))
T = set()

def add(e):
  T.add(e)
  for i,w in enumerate(G[e]):
    if not i in T and w != -1:
      W[i] = min(W[i],w)
  if not A-T:#W[-1] = -INF
    return -1
  m = min((W[i],i) for i in A-T)
  #print(W,T,m)
  return m[1]

n = add(0)
W[0] = 0
while len(T) < len(G):
  n = add(n)
print(sum(W))

Python: import itertools

n = int(input())
A = []
for i in range(n):
    line = input()
    A.append([int(x) for x in line.split()])


V = set(range(n))
Vnew = {0}  # ??¨???????°???¨?????????
weights = []

while V != Vnew:
    T = V - Vnew
    minw = float('inf')
    for u, v in itertools.product(Vnew, T):
        w = A[u][v]
        if w != -1 and minw > w:
            e = (u, v)
            minw = w
    Vnew.add(e[1])
    weights.append(minw)

print(sum(weights))

Python: N = 100

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

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)