Go: package main

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

const (
	MAX_N      = 200
	MAX_WEIGHT = 2000
)

type Edge struct {
	start  int
	end    int
	weight int
}

type ShortestInfo struct {
	edges    []Edge
	shortest int
}

func main() {
	sc := bufio.NewScanner(os.Stdin)
	sc.Split(bufio.ScanWords)

	n, err := nextInt(sc)
	if err != nil {
		panic(err)
	}

	shortestList := make([]ShortestInfo, n)
	for i := 1; i < n; i++ {
		shortestList[i] = ShortestInfo{edges: []Edge{}, shortest: MAX_N*MAX_WEIGHT + 1}
	}

	adjacentMatrix := make([][]int, n)
	for i := 0; i < n; i++ {
		adjacentMatrix[i] = make([]int, n)
		for j := 0; j < n; j++ {
			v, err := nextInt(sc)
			if err != nil {
				panic(err)
			}
			adjacentMatrix[i][j] = v
		}
	}

	mst([]int{1}, shortestList, adjacentMatrix)
	fmt.Println(calculateMinWeight(shortestList))
}

func calculateMinWeight(shortestList []ShortestInfo) int {
	visitedList := make([]bool, len(shortestList))
	visitedList[0] = true
	sumWeight := 0
	for !visitedAll(visitedList) {
		shortestInfo := shortestList[0]
		shortestList = shortestList[1:]
		edges := shortestInfo.edges
		for _, edge := range edges {
			if !visitedList[edge.end-1] {
				visitedList[edge.end-1] = true
				sumWeight += edge.weight
			}
		}
	}
	return sumWeight
}

func visitedAll(visitedList []bool) bool {
	for _, v := range visitedList {
		if !v {
			return false
		}
	}
	return true
}

func mst(nodeStack []int, shortestList []ShortestInfo, adjacentMatrix [][]int) {
	for len(nodeStack) > 0 {
		currentNode := nodeStack[0]
		nodeStack = nodeStack[1:]
		currentShortest := getShortest(currentNode, shortestList)
		adjacents := findAdjacents(currentNode, adjacentMatrix)
		for i := 0; i < len(adjacents); i++ {
			adj := adjacents[i]
			s := getShortest(adj.end, shortestList)
			if currentShortest.shortest+adj.weight < s.shortest || (currentShortest.shortest+adj.weight == s.shortest && len(currentShortest.edges)+1 > len(s.edges)) {
				setShortest(adj.end, adj, currentShortest, shortestList)
				nodeStack = append(nodeStack, adj.end)
			}
		}
	}
}

func getShortest(node int, shortestList []ShortestInfo) ShortestInfo {
	return shortestList[node-1]
}

func setShortest(node int, edge Edge, currentShortest ShortestInfo, shortestList []ShortestInfo) {
	newEdges := make([]Edge, len(currentShortest.edges)+1)
	for i := 0; i < len(newEdges)-1; i++ {
		newEdges[i] = currentShortest.edges[i]
	}
	newEdges[len(newEdges)-1] = edge
	shortestInfo := ShortestInfo{edges: newEdges, shortest: currentShortest.shortest + edge.weight}
	shortestList[node-1] = shortestInfo
}

func findAdjacents(currentNode int, adjacentMatrix [][]int) []Edge {
	adjacents := adjacentMatrix[currentNode-1]
	edges := []Edge{}
	for i, v := range adjacents {
		if v > 0 {
			edges = append(edges, Edge{start: currentNode, end: i + 1, weight: v})
		}
	}
	return edges
}

func nextInt(sc *bufio.Scanner) (int, error) {
	sc.Scan()
	return strconv.Atoi(sc.Text())
}

Python: from heapq import heappush, heappop, heapify
from typing import List, Tuple


if __name__ == "__main__":
    num_vertices = int(input())
    adj_list: List[List[Tuple[int, int]]] = [[] for _ in range(num_vertices)]

    for vertex in range(num_vertices):
        for adj, cost in enumerate(map(lambda x: int(x), input().split())):
            if -1 != cost:
                # Store values as (cost, adj) to aplly heapify to cost values.
                adj_list[vertex].append((cost, adj))

    visited: List[bool] = [False] * num_vertices
    # Set the root node.
    que = [(cost, adj) for cost, adj in adj_list[0]]
    visited[0] = True
    heapify(que)

    total_cost = 0
    while [] != que:
        cost, adj = heappop(que)
        if visited[adj]:
            continue
        visited[adj] = True
        total_cost += cost
        for n_cost, n_adj in adj_list[adj]:
            if visited[n_adj]:
                continue
            heappush(que, (n_cost, n_adj))

    print(total_cost)

Python: import heapq

n = int(input())
A = [[int(i) for i in input().split()] for i in range(n)]
h = []
DP = {}
heapq.heappush(h,(0,0))
c = 0
while(len(DP)<n):
    tmp = heapq.heappop(h)
    if tmp[1] in DP:
        continue
    c += tmp[0]
    DP[tmp[1]] = 1
    for i,j in enumerate(A[tmp[1]]):
        if j > -1 and not i in DP:
            heapq.heappush(h,(j,i))
print(c)

Python: n=int(input())
inf=10000
color=["white" for i in range(n)]
p=[-1 for i in range(n)]
d=[inf for i in range(n)]
M=[[] for i in range(n)]


for i in range(n):
    tmp=list(map(int,input().split()))
    for j in range(n):
        if tmp[j]==-1:
            M[i].append(inf)
        else:
            M[i].append(tmp[j])

def prim():
    d[0]=0
    while True:
        mincost=inf
        for i in range(n):
            if mincost>d[i] and color[i]!="black":
                mincost=d[i]
                u=i
        if mincost==inf:
            break
        color[u]="black"
        for j in range(n):
            if color[j]!="black" and M[u][j]!=inf:
                if M[u][j]<d[j]:
                    d[j]=M[u][j]
                    p[j]=u
                    color[j]="gray"

prim()
print(sum(d))

Python: import heapq
from collections import defaultdict
v_num = int(input())
edges = defaultdict(list)
for i in range(v_num):
    data = [int(n) for n in input().split(" ")[1:]]
    for j in range(i + 1, v_num):
        if data[j] != -1:
            edges[i].append([data[j], j])
            edges[j].append([data[j], i])
queue = []
heapq.heapify(queue)
for c in edges[0]:
    heapq.heappush(queue, c)
visited = {0}
answer = 0
while len(visited) < v_num:
    q = heapq.pop(queue)
    weight, one = q[0], q[1]
    if one in visited:
        continue
    answer += weight
    for e in edges[one]:
        heapq.heappush(queue, e)
    visited |= {one}
print(answer)

Python: N = int(input())
G = [[] for i in range(N)]
for v in range(N):
    for w, c in enumerate(map(int, input().split())):
        if c != -1:
            G[v].append((w, c))

from heapq import heappush, heappop, heapify
used = [0]*N
que = [(c, w) for w, c in G[0]]
used[0] = 1
heapify(que)

ans = 0
while que:
    cv, v = heappop(que)
    if used[v]:
        continue
    used[v] = 1
    ans += cv
    for w, c in G[v]:
        if used[w]:
            continue
        heappush(que, (c, w))
print(ans)

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()