Go: package main

import (
	"bufio"
	"fmt"
	"os"
	"strconv"
	"strings"
)

const (
	WHITE int = iota
	GRAY
	BLACK
)

type graph struct {
	G [][]int
	C []int
	D []int
	P []int
}

var INFTY = 1 << 32

func constructGraph() *graph {
	sc := bufio.NewScanner(os.Stdin)
	sc.Scan()
	n, _ := strconv.Atoi(sc.Text())

	g := make([][]int, n)
	c := make([]int, n)
	d := make([]int, n)
	p := make([]int, n)

	for i := 0; i < n; i++ {
		sc.Scan()
		fields := strings.Fields(sc.Text())
		g[i] = toIntSlice(fields)
	}

	return &graph{g, c, d, p}
}

func (g *graph) initMst() {
	for i := 0; i < len(g.G); i++ {
		g.C[i] = WHITE
		g.D[i] = INFTY
	}
	g.D[0] = 0
	g.P[0] = -1
}

func (g *graph) primMst() int {
	g.initMst()

	var u int
	for {
		mincost := INFTY
		for i := 0; i < len(g.G); i++ {
			if g.C[i] != BLACK && g.D[i] < mincost {
				mincost = g.D[i]
				u = i
			}
		}

		if mincost == INFTY {
			break
		}

		g.C[u] = BLACK

		for i := 0; i < len(g.G); i++ {
			if g.C[i] != BLACK && g.existEdge(u, i) {
				if g.G[u][i] < g.D[i] {
					g.D[i] = g.G[u][i]
					g.P[i] = u
				}
			}
		}
	}

	totalCost := 0
	for _, cost := range g.D {
		totalCost += cost
	}
	return totalCost
}

func (g *graph) existEdge(u, v int) bool {
	return g.G[u][v] != INFTY && g.G[v][u] != INFTY
}

func toIntSlice(s []string) []int {
	a := make([]int, len(s))
	for i, v := range s {
		num, _ := strconv.Atoi(v)
		if num == -1 {
			num = INFTY
		}
		a[i] = num
	}
	return a
}

func main() {
	g := constructGraph()
	fmt.Println(g.primMst())
}

Python: #coding:utf-8
inf = 1000000
n = int(input())
mtrx = []
for i in range(n):
    nums = list(map(int,input().split()))
    col = []
    for j in range(n):
        if nums[j] == -1:
            col.append(inf)
        else:
            col.append(nums[j])
    mtrx.append(col)

        
d = [inf for i in range(n)]
p = [-1 for i in range(n)]
color = ["white" for i in range(n)]
d[0] = 0
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 mtrx[u][v] < inf:
            if mtrx[u][v] < d[v]:
                d[v] = mtrx[u][v]
                p[v] = u
                color[v] = "gray"
print(sum(d))

Python: n = int(input())
sides = []
ws = []
ss = []
for _ in range(n):
    sides.append(list(map(int,input().split())))
for i in range(n):
    for j in range(i+1,n):
        if sides[i][j] >= 0:
            ws.append([sides[i][j],i,j])
rs = [(i) for i in range(n)]
def root(x):
    global rs
    if rs[x] == x:
        return(x)
    else:
        return(root(rs[x]))
ws.sort()
ans = 0
while(len(ws)):
    if root(ws[0][1]) != root(ws[0][2]):
        ans += ws[0][0]
        rs[root(rs[ws[0][2]])] = root(ws[0][1])
        ss.append(ws[0])
    del(ws[0])
print(ans)

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: # -*- 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 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

    # sample input when given not as adjacency matrix
    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
    '''

    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: import heapq

def root(x):
    path_to_root = []
    while P[x] != x:
        path_to_root.append(x)
        x = P[x]
    for node in path_to_root:
        P[node] = x
    return x
def is_same_set(x,y):
    return root(x) == root(y)
def unite(x,y):
    P[root(x)] = root(y)

W = 0
N = int(input().strip())
P = [i for i in range(N)]
A = []
for i in range(N):
    v = list(map(int,input().strip().split(' ')))
    A.append(v)
edges = [] 
for i in range(N):
    for j in range(i,N):
        edge = [A[i][j],i,j]
        heapq.heappush(edges,edge)
while len(edges) > 0:
    e = heapq.heappop(edges)
    I = e[1]
    J = e[2]
    if e[0] != -1:
        if not is_same_set(I,J):
            unite(I,J)
            W += e[0]
print(W)

Python: # -*- coding: utf-8 -*-
from itertools import product

N = int(input())
INF = float("inf")
adj = []

for _ in range(N):
    adj.append([int(n) if n != "-1" else float("inf") for n in input().split()])

not_MST = list(range(1, N))
MST = [0]

cost = 0
while len(not_MST):
    tmp_min = INF
    tmp_idx = -1
    for m, n in product(MST, not_MST):
        if adj[m][n] < tmp_min:
            tmp_min = adj[m][n]
            tmp_idx = n
    MST.append(tmp_idx)
    not_MST.remove(tmp_idx)
    cost += tmp_min

print(cost)