Go: package main

import (
	"bufio"
	"container/heap"
	"fmt"
	"os"
	"strconv"
)

//make priority queue
type Item struct {
	id       int
	priority int // this state is priority and distans from start
	index    int
}

type PriorityQueue []*Item

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

// we want the ascending-priority-queue.
// So we use less than here.
func (pq PriorityQueue) Less(i, j int) bool {
	return pq[i].priority < pq[j].priority
}

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

func (pq *PriorityQueue) Push(x interface{}) {
	n := len(*pq)
	item := x.(*Item)
	item.index = n
	*pq = append(*pq, item)
}

func (pq *PriorityQueue) Pop() interface{} {
	old := *pq
	n := len(old)
	item := old[n-1]
	item.index = -1 //for safety
	*pq = old[0 : n-1]
	return item
}

func (pq *PriorityQueue) update(dist int, id int) {
	for _, i := range *pq {
		if i.id == id {
			if i.priority > dist {
				i.priority = dist
			}
		}
	}
}

// the main code
func nextInt(sc *bufio.Scanner) int {
	sc.Scan()
	n, _ := strconv.Atoi(sc.Text())
	return n
}

func dikstra(dist [][]int, n int) []int {
	// preparate priority queue
	inf := 1 << 30
	pq := make(PriorityQueue, n)
	shortests := make([]int, n)
	for i := 0; i < n; i++ {
		pq[i] = &Item{
			id:       i,
			priority: inf,
			index:    i,
		}

		shortests[i] = inf
	}
	pq[0].priority = 0
	shortests[0] = 0
	heap.Init(&pq)

	for pq.Len() > 0 {
		item := heap.Pop(&pq).(*Item)
		shortests[item.id] = item.priority
		for id, d := range dist[item.id] {
			if d != -1 {
				pq.update(item.priority+d, id)
			}
		}
		heap.Init(&pq)
	}
	return shortests
}

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

	// init
	n := nextInt(sc)
	dist := make([][]int, n)
	for i := 0; i < n; i++ {
		dist[i] = make([]int, n)
		for j := 0; j < n; j++ {
			dist[i][j] = -1
		}
	}

	// std Input
	for i := 0; i < n; i++ {
		u := nextInt(sc)
		k := nextInt(sc)
		for j := 0; j < k; j++ {
			v, c := nextInt(sc), nextInt(sc)
			dist[u][v] = c
		}
	}

	shortests := dikstra(dist, n)
	for i, d := range shortests {
		fmt.Printf("%d %d\n", i, d)
	}
}

Python: # -*- coding: utf-8 -*-
"""
http://judge.u-aizu.ac.jp/onlinejudge/description.jsp?id=ALDS1_12_C

???????§????????????????II
"""
from enum import Enum
from heapq import heappush, heappop, heapify


class Sssp(object):
    """ single source shortest path """
    INFINITY = 999999999
    class Status(Enum):
        """ ?????????????¨??????¶??? """
        white = 1  # ????¨????
        gray = 2  # ?¨???????
        black = 3  #?¨???????

    def __init__(self, data):
        num_of_nodes = len(data)
        self.color = [Sssp.Status.white] * num_of_nodes  # ????????????????¨??????¶???
        self.d = [Sssp.INFINITY] * num_of_nodes  # ?§???????????????????
        self.p = [-1] * num_of_nodes  # ????????????????????????????¨?????????????????????????
        self.adj = [[] for _ in range(num_of_nodes)]
        self.make_adj(data)


    def make_adj(self, data):
        # ??£??\??????????????????
        for d in data:
            my_id = d[0]
            d = d[2:]
            while len(d) > 1:
                to_node, cost = d[0], d[1]
                self.adj[my_id].insert(0, (to_node, cost))
                d = d[2:]


    def dijkstra(self, start):
        self.d[start] = 0
        pq = []
        heappush(pq, (0, 0))

        while pq:
            cost, u = heappop(pq)
            self.color[u] = Sssp.Status.black
            if self.d[u] < cost:
                continue

            for v, cost in self.adj[u]:
                if self.color[v] == Sssp.Status.black:
                    continue
                if self.d[v] > self.d[u] + cost:
                    self.d[v] = self.d[u] + cost
                    heappush(pq, (self.d[v], v))
                    self.color[v] = Sssp.Status.gray


if __name__ == '__main__':
    # ??????????????\???
    num = int(input())
    data = []
    for i in range(num):
        data.append(list(map(int, input().split(' '))))

    # ???????????¢?´¢
    s = Sssp(data)
    s.dijkstra(0)

    # ???????????¨???
    for i in range(num):
        print('{0} {1}'.format(i, s.d[i]))

Python: from sys import maxsize
from heapq import heappop, heappush


class Node:
    WHITE = 0
    GRAY = 1
    BLACK = 2

    def __init__(self):
        self.adjs = []
        self.color = Node.WHITE
        self.dist = maxsize

    def __lt__(self, other):
        return self.dist < other.dist

    def __repr__(self):
        return "Node({},{},{})".format(self.adjs, self.color, self.dist)


def read_adj():
    n = int(input())
    nodes = [Node() for _ in range(n)]

    for i in range(n):
        u, _, *rest = [int(x) for x in input().split()]
        for i in range(0, len(rest) - 1, 2):
            nodes[u].adjs.append((nodes[rest[i]], rest[i+1]))

    return nodes


def shortest_path(nodes):
    h = []

    nodes[0].dist = 0
    nodes[0].color = Node.GRAY
    heappush(h, nodes[0])

    while True:
        while len(h) > 0:
            min_node = heappop(h)
            if min_node.color != Node.BLACK:
                break
        else:
            break

        min_node.color = Node.BLACK

        for adj, c in min_node.adjs:
            if min_node.dist + c < adj.dist:
                adj.dist = min_node.dist + c
                adj.color = Node.GRAY
                heappush(h, adj)


def print_dist(nodes):
    for u, n in enumerate(nodes):
        print(u, n.dist)


def main():
    nodes = read_adj()
    shortest_path(nodes)
    print_dist(nodes)


if __name__ == '__main__':
    main()

Python: from heapq import heappush,heappop,heapify

n = int(input())
G = [[] for _ in range(n)]
info = []

for i in range(n):
    info =  list(map(int,(input().split())))[2:]
    for j in range(int((len(info))/2)):
        G[i].append((info[2*j],info[2*j+1]))

color = ["white" for _ in range(n)]
dist = [(1<<21) for _ in range(n)]
que = []

def dijkstra():
    dist[0] = 0
    que.append((0,0)) #(dist,node)
    while que:
        # heapify(que)
        now = heappop(que)
        u = now[1]
        if dist[u] < now[0]:
            continue
        # print(u)
        color[u] = "black"
        for j in range(len(G[u])):
            if dist[u] + G[u][j][1] < dist[G[u][j][0]]:
                heappush(que,(dist[u] + G[u][j][1],G[u][j][0]))
                dist[G[u][j][0]] = dist[u] + G[u][j][1]

# for i in range(n):
#     print(*G[i])

dijkstra()

for i,dist in enumerate(dist):
    print(i,dist)

Python: import heapq
n=int(input())
p=[-1 for i in range(n)]
inf=100000000
d=[inf for i in range(n)]
M=[[] for i in range(n)]
color=["white" for i in range(n)]
Q=[]
heapq.heapify(Q)

for i in range(n):
    tmp=list(map(int,input().split()))
    root=tmp[0]
    k=tmp[1]
    for j in range(k):
        M[root].append((tmp[2*(j+1)+1],tmp[2*(j+1)]))

def dijkstra(s):
    d[s]=0
    heapq.heappush(Q,(d[s],s))
    color[s]="gray"
    while Q:
        f=heapq.heappop(Q)

        u=f[1]
        color[u]="Black"
        if f[0]>d[u]:
            continue
        for i in range(len(M[u])):
            if color[M[u][i][1]]!="Black":
                v=M[u][i][1]
                if d[v]>d[u]+M[u][i][0]:
                    d[v]=d[u]+M[u][i][0]
                    color[M[u][i][1]]="gray"
                    heapq.heappush(Q,(d[M[u][i][1]],M[u][i][1]))
                    
dijkstra(0)

for i in range(n):
    print(i,d[i])

Python: from heapq import*
I=float("inf")
def m():
 n=int(input())
 A=[]
 for _ in range(n):
  e=list(map(int,input().split()))
  A+=[zip(e[2::2],e[3::2])]
 d=[0]+[I]*n
 H=[(0,0)]
 while H:
  u=heappop(H)[1]
  for v,c in A[u]:
   t=d[u]+c
   if d[v]>t:
    d[v]=t
    heappush(H,(t,v))
 print('\n'.join(f'{i} {d[i]}'for i in range(n)))
m()