Go: package main

import (
	"fmt"
	"container/heap"
)

type Node struct {
	Id int
	Dis int
}

type PriorityQueue []*Node

func (pq PriorityQueue) Len() int { return len(pq) }

func (pq PriorityQueue) Less(i, j int) bool {
	return pq[i].Dis < pq[j].Dis
}

func (pq PriorityQueue) Swap(i, j int) {
	pq[i], pq[j] = pq[j], pq[i]
}

func (pq *PriorityQueue) Push(x interface{}) {
	*pq = append(*pq, x.(*Node))
}

func (pq *PriorityQueue) Pop() interface{} {
	n := len(*pq)
	pop := (*pq)[n-1]
	*pq = (*pq)[0:n-1]
	return pop
}

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

	g := make([][]int, n)
	c := make([][]int, n)
	pq := make(PriorityQueue, 0, n)
	d := make([]int, n)
	for i := 0; i < n; i++ {
		var u,k int
		fmt.Scan(&u)
		fmt.Scan(&k)
		g[u] = make([]int, k)
		c[u] = make([]int, k)
		for j := 0; j < k; j++ {
			fmt.Scan(&g[u][j])
			fmt.Scan(&c[u][j])
		}

		if u == 0 {
			d[u] = 0
		} else {
			d[u] = 1 << 30
		}
		pq.Push(&Node{u, d[u]})
	}
	heap.Init(&pq)

	for pq.Len() > 0 {
		node := heap.Pop(&pq).(*Node)
		for i := 0; i < len(g[node.Id]); i++ {
			nextId := g[node.Id][i]
			nextDis := node.Dis + c[node.Id][i]
			if nextDis < d[nextId] {
				d[nextId] = nextDis
				heap.Push(&pq, &Node{nextId, nextDis})
			}
		}
	}

	for i := 0; i < n; i++ {
		fmt.Println(i, d[i])
	}
}

Python: n = int(input())

adj = [[100001 for j in range(n)] for i in range(n)]

for u in range(n):
    x = list(map(int, input().split()))
    for v, c in zip(x[2::2], x[3::2]):
        adj[u][v] = c

isVisited = [False] * n

distance = [9900001] * n


def dijkstra(s):
    distance[s] = 0

    while True:
        mincost = 9900001
        for i in range(n):
            if (not isVisited[i]) and (distance[i] < mincost):
                mincost = distance[i]
                u = i

        if mincost == 9900001:
            break

        isVisited[u] = True

        for v in range(n):
            weight_uv = adj[u][v]
            if (not isVisited[v]) and (weight_uv != 100001):
                t_d = distance[u] + weight_uv
                if t_d < distance[v]:
                    distance[v] = t_d



dijkstra(0)

for v, d in enumerate(distance):
    print(v, d)

Python: #coding:utf-8
def Dijkestra(G,n):
    d=[100000000000]*n
    pi=[None]*n
    d[0]=0
    C=[]
    for i in range(n):
        C.append(i)
    
    while len(C)!=0:
        u=C[0]
        for i in range(1,len(C)):
            if d[u]>d[i]:
                u=i
        C.remove(u)
        for i in range(len(G[u])):
            if G[u][i]==-1:
                continue
            elif d[i]>d[u]+G[u][i]:
                d[i]=d[u]+G[u][i]
                pi[i]=u
                        
    for i in range(n):
        print(i,d[i])
    

if __name__=="__main__":
    n=int(input())
    G=[]
    for i in range(n):
        a=[]
        ele=list(map(int,input().split()))
        k=ele[1]
        t=ele[2:]
        v=c=[]
        for j in range(k):
            v=v+[t[2*j]]
            c=c+[t[2*j+1]]
        for j in range(n):
            if j in v:
                a.append(c[v.index(j)])
            else:
                a.append(-1)
        G.append(a)
    Dijkestra(G,n)

Python: INF = float('inf')
N = int(input())
D = [INF] * N
Visited = [False] * N
M = [[INF] * N for _ in range(N)]
for _ in range(N):
    u, k, *cv = map(int, input().split())
    for i in range(0, len(cv), 2):
        c, v = cv[i], cv[i + 1]
        M[u][c] = v

D[0] = 0

while True:
    min_cost = INF
    u = -1
    for i in range(N):
        if not Visited[i] and D[i] < min_cost:
            u = i
            min_cost = D[i]

    if u == -1:
        break

    Visited[u] = True

    for i in range(N):
        if not Visited[i] and M[u][i] != INF and M[u][i] + D[u] < D[i]:
            D[i] = M[u][i] + D[u]

for i, d in enumerate(D):
    print(i, d)

Python: n=int(input())
M=[[-1]*n for _ in[0]*n]
for _ in[0]*n:
 e=list(map(int,input().split()))
 for i in range(e[1]):k=2*-~i;M[e[0]][e[k]]=e[k+1]
d=[0]+[1e6]*n
c=[1]*n
while 1:
 m,u=1e6,-1
 for i in range(n):
  if m>d[i]and c[i]:m,u=d[i],i
 if u<0:break
 c[u]=0
 for v in range(n):
  if c[v]and 1+M[u][v]and d[v]>d[u]+M[u][v]:
   d[v]=d[u]+M[u][v]
for i in range(n):print(i,d[i])

Python: n = int(input())

adj = [[False for j in range(n)] for i in range(n)]

for u in range(n):
    x = list(map(int, input().split()))
    for v, c in zip(x[2::2], x[3::2]):
        adj[u][v] = c

weights = [9900000] * n


def search(goal, path, weight):
    e = path[-1]
    if weight < weights[goal]:
        if e == goal:
            weights[goal] = weight
        else:
            for v, c in enumerate(adj[e]):
                if (v not in path) and (c is not False):
                    path.append(v)
                    weight += c
                    search(goal, path, weight)
                    weight -= c
                    path.pop()


for i in range(n):
    search(i, [0], 0)

for v, w in enumerate(weights):
    print(v, w)

Python: INFTY = 1 << 21
WHITE = 0
GRAY = 1
BLACK = 2
 
n = int(input())
M = [list(map(int, input().split())) for i in range(n)]
 
d = [INFTY for i in range(n)]
color = [WHITE for i in range(n)]
 
for i in range(n):
    u = int(input())
    k = int(input())
    for j in range(k):
        v = int(input())
        c = int(input())
        M[u][v] = c
        
def dijkstra():
    global M, d, color
    d[0] = 0
    color[0] = GRAY
    while(1):
        minv = INFTY
        u = -1
        for i in range(n):
            if (minv > d[i] and color[i] != BLACK):
                u = i
                minv = d[i]
        if (u == -1):
            break
        color[u] = BLACK
        for v in range(n):
            if (color[v] != BLACK and M[u][v] != INFTY):
                if (d[v] > d[u] + M[u][v]):
                    d[v] = d[u] + M[u][v]
                    color[v] = GRAY
    for i in range(n):
        print(i, (-1 if d[i] == INFTY else d[i]))
dijkstra()

Python: import sys
from collections import defaultdict


def main():
    n = int(input())
    lines = sys.stdin.readlines()
    vertex_weights = defaultdict(list)
    for i in range(n):
        u, k, *vtx_wght = map(int, lines[i].split())
        for v_i in range(k):
            vertex_weights[u].append((vtx_wght[2*v_i], vtx_wght[2*v_i+1]))

    dist_from_0 = {}
    vertices = [(0, 0)]
    while len(dist_from_0) != n:
        vertices.sort(key=lambda x: x[1], reverse=True)
        vtx, vtx_dist = vertices.pop()
        dist_from_0[vtx] = vtx_dist

        neighbor_vtx = vertex_weights[vtx]

        for n_vtx, n_dist in neighbor_vtx:
            if n_vtx not in dist_from_0.keys():
                vertices.append((n_vtx, vtx_dist + n_dist))

        [vertices.remove(x) for x in vertices[:] if x[0] in dist_from_0]


    answers = [None] * n
    sorted_dist = sorted(dist_from_0.items(), key=lambda x: x[0])
    for i in range(n):
        answers[i] = f"{sorted_dist[i][0]} {sorted_dist[i][1]}"
    [print(ans) for ans in answers]
    return


main()

Python: n=int(input())
d=[0]+[1e6]*n
c=[1]*n
M=[[-1]*n for _ in[0]*n]

for _ in[0]*n:
 data=list(map(int,input().split()))
 for i in range(data[1]):k=2*-~i;M[data[0]][data[k]]=data[k+1]

while 1:
 m,u=1e6,-1
 
 for i in range(n):
  if m>d[i]and c[i]:
      m,u=d[i],i
 if u<0:
     break
 c[u]=0
 
 for v in range(n):
  if c[v]and 1+M[u][v]and d[v]>d[u]+M[u][v]:
   d[v]=d[u]+M[u][v]
   
for i in range(n):
    print(i,d[i])