Go: package main

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

const R = 100000000

var sc = bufio.NewScanner(os.Stdin)

var n int
var A [101][101]int

func nextInt() int {
	sc.Scan()
	i, _ := strconv.Atoi(sc.Text())
	return i
}
func prim() int {
	var u, Minimum, sum int
	var d, p, color [101]int

	for i := 0; i < n; i++ {
		d[i] = R
		p[i] = -1
		color[i] = 0
	}
	d[0] = 0

	for {
		Minimum = R
		u = -1
		for i := 0; i < n; i++ {
			if Minimum > d[i] && color[i] != 2 {
				u = i
				Minimum = d[i]
			}
		}
		if u == -1 {
			break
		}
		color[u] = 2
		for j := 0; j < n; j++ {
			if color[j] != 2 && A[u][j] != R {
				if d[j] > A[u][j] {
					d[j] = A[u][j]
					p[j] = u
					color[j] = 1
				}
			}
		}
	}

	for i := 0; i < n; i++ {
		if p[i] != -1 {
			sum += A[i][p[i]]
		}
	}
	return sum
}
func main() {
	sc.Split(bufio.ScanWords)
	n = nextInt()

	for i := 0; i < n; i++ {
		for j := 0; j < n; j++ {
			e := nextInt()
			if e == -1 {
				A[i][j] = R
			} else {
				A[i][j] = e
			}
		}
	}
	fmt.Println(prim())
}

Python: class Node(object):
    def __init__(self, V):
        self.V = V
        self.d = float('inf')
        self.p = -1
        self.state = -1
        # -1 -> undiscovered
        #  1 -> finished
        #  0 -> found(not finished)


M = [float('inf')] * 100
for i in range(100):
    M[i] = [float('inf')] * 100

n = int(input())
nodes = [0] * 100
for i in range(n):
    V = [int(x) for x in input().split()] 
    for (j,m) in enumerate(V):
        M[i][j] = m if not m == -1 else float('inf') 
    nodes[i] = Node([])

nodes[0].d = 0
while True:
    mincost = float('inf')
    u = -1
    for i in range(n):
        node = nodes[i]
        if (mincost > node.d) and (node.state != 1):
            u = i
            mincost = node.d

    if u == -1:
        break

    nodes[u].state = 1
    for v in range(n):
        node = nodes[v]
        if (node.state != 1) and (M[u][v] != float('inf')):
            if node.d > M[u][v]:
                node.d = M[u][v]
                node.p = u
                node.state = 0

sum = 0
for i in range(n):
    if nodes[i].p != -1:
        sum += M[i][nodes[i].p]

print(sum)

Python: def prim(cost):
 res = 0
 V = len(cost)
 mincost = [float("inf")] * V
 used = [False] * V
 mincost[0] = 0
 while True:
  v = -1
  for u in range(V):
   if not used[u] and \
    (v == -1 or mincost[u] < mincost[v]):
    v = u
  if v == -1: break
  used[v] = True
  res += mincost[v]
  for u in range(V):
    if cost[v][u] == -1: continue
    mincost[u] = min(mincost[u], cost[v][u])
 return res

Python: N = int(input())

ep = []
for i in range (N):
    a = list(map(int,input().strip().split()))
    for j in range(i,N):
        if a[j] != -1:
            ep.append([a[j],i,j])

P = [i for i in range(N)]
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 # パス圧縮
    return x
def is_same_set(x,y):
    return root(x) == root(y)
def unite(x,y):
    P[root(x)] = root(y)

ep.sort()
T = []
ans = 0
for e in ep:
    if is_same_set(e[1],e[2]) == False:
        ans += e[0]
        unite(e[1],e[2])
print(ans)

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 > 0 and not i in DP:
            heapq.heappush(h,(j,i))
print(c)

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 > 0 and not i in DP:
            heapq.heappush(h,(j,i))
print(c)

Python: n=int(input())
M=[list(map(int,input().split()))for _ in[0]*n]
d=[0]+[1e4]*~-n
p=[-1]*n
b=[1]*n
while 1:
 m,u=1e4,-1
 for i in range(n):
  if m>d[i]and b[i]:m,u=d[i],i
 if u<0:break
 b[u]=0
 for v in range(n):
  if b[v]and 1+M[u][v]and d[v]>M[u][v]:
   d[v],p[v]=M[u][v],u
print(sum(M[i][p[i]]for i in range(n)if p[i]+1))

Python: n = int(input())
edgeList = []
for i in range(n):
    a = list(map(int, input().split()))
    for j in range(i):
        if a[j] != -1:
            edgeList.append([a[j], i, j])
rootList = [-1]*n
sumLength = 0

def getRoot(x):
    r = rootList[x]
    if r < 0:
        rootList[x] = x
    elif r != x:
        rootList[x] = getRoot(r)
    return rootList[x]
        

edgeList.sort(key=lambda x: x[0])
for e in edgeList:
    x = getRoot(e[1])
    y = getRoot(e[2])
    if x != y:
        sumLength += e[0]
        rootList[x] = rootList[y] = min(x, y)
print(sumLength)

Python: INF = 9999


def prim(G):
    n = len(G)
    color = ['White' for _ in range(n)]
    d = [INF for _ in range(n)]
    p = [-1 for _ in range(n)]
    d[0] = 0

    while True:
        mincost = INF
        u = -1
        for i in range(n):
            if color[i] != 'Black' and d[i] < mincost:
                mincost = d[i]
                u = i

        if u == -1:
            break

        color[u] = 'Black'

        for v in range(n):
            if color[v] != 'Black' and G[u][v] != INF:
                if G[u][v] < d[v]:
                    d[v] = G[u][v]
                    p[v] = u
                    color[u] = 'Gray'

        sum = 0
        for i in range(n):
            if p[i] != -1:
               sum += G[i][p[i]]
        return sum


if __name__ == '__main__':
    n = int(input())
    GL = [list(map(int, input().split())) for _ in range(n)]
    for i in range(n):
        for j in range(n):
            if GL[i][j] == -1:
                GL[i][j] = INF
    print(prim(GL))

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])