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: from heapq import heappop, heappush
import sys


class SSSP:
    """Given weighted graph, find Single Sorce Shortest Path from node 0.

    >>> st = SSSP([[(2, 3), (3, 1), (1, 2)], \
                   [(0, 2), (3, 4)], \
                   [(0, 3), (3, 1), (4, 1)], \
                   [(2, 1), (0, 1), (1, 4), (4, 3)], \
                   [(2, 1), (3, 3)]])
    >>> [st.weight(n) for n in range(5)]
    [0, 2, 2, 1, 3]
    """
    def __init__(self, graph):
        self.size = len(graph)
        self.tree = []
        self.weights = [-1] * self.size
        self._search(graph)

    def weight(self, n):
        return self.weights[n]

    def _search(self, graph):
        h = []
        self.weights[0] = 0
        count = 1
        for i, w in graph[0]:
            heappush(h, (w, 0, i))

        while count < self.size:
            while len(h) > 0:
                weight, src, dst = heappop(h)
                if self.weights[dst] < 0:
                    self.weights[dst] = weight
                    count += 1
                    self.tree.append((src, dst))
                    for i, w in graph[dst]:
                        if self.weights[i] < 0:
                            heappush(h, (w+weight, dst, i))
                    break


def run():
    n = int(input())

    nodes = [None] * n
    for line in sys.stdin:
        id_, deg, *edges = [int(i) for i in line.split()]
        nodes[id_] = []
        for _ in range(deg):
            tgt, wgt, *edges = edges
            nodes[id_].append((tgt, wgt))

    st = SSSP(nodes)
    for node in range(n):
        print('{} {}'.format(node, st.weight(node)))


if __name__ == '__main__':
    run()

Python: from heapq import heappush, heappop

inf = float('inf')
n = int(input())
g = []
for i in range(n):
    line = list(map(int, input().split()[2:]))
    g.append(zip(line[0::2], line[1::2]))

dist = [inf] * n
dist[0] = 0
heap = [(0, 0)]

while heap:
    current = heappop(heap)[1]
    for v, c in g[current]:
        new_dist = dist[current] + c
        if new_dist < dist[v]:
            dist[v] = new_dist
            heappush(heap, (new_dist, v))

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

Python: n = int(input())
INF = float("inf")
edges = [[] for _ in range(n)]
visited = [False]*n
# edges = [[INF for _ in range(n)] for _ in range(n)]
# edges = [[] for _ in range(n) for _ in range(n)]
d = [INF]*n
d[0] = 0

for _ in range(n):
    ls = list(map(int, input().split()))
    u = ls[0]
    degrees = ls[1]
    data = ls[2:]
  
    for i in range(degrees):
        v = data[i*2]
        cost = data[i*2+1]
        edges[u].append((v, cost))
        # edges[u][v] = cost

#通常版
# for _ in range(n):
#     dmin = float("inf")
#     for i in range(n):
#         if not visited[i] and d[i] < dmin:
#             dmin = d[i]
#             u = i
#     visited[u] = True
#     for v, c in edges[u]:
#         d[v] = min(d[v], d[u] + c)

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

# exit()
#heap版
import heapq

heap = [(0, 0)]
d[0] = 0


while heap:
    du, u = heapq.heappop(heap)
    for v, cost in edges[u]:
        if du + cost < d[v]:
            d[v] = du +  cost
            # visited[u] = True
            heapq.heappush(heap, (d[v], v))

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

Python: n=int(input())
g=[[]for i in range(n)]
for i in range(n):
    d=list(map(int,input().split()))
    for j in range(d[1]):
        g[d[0]].append((d[2+j*2+1],d[2+j*2]))

def dijkstra(g,st,ed):
    from heapq import heappush, heappop, heapify
    inf=10**18
    dist=[inf for i in range(len(g))]
    visited=[False for i in range(len(g))]
    dist[st]=0
    que=[]
    heappush(que,(0,st))
    while que:
        c,v=heappop(que)
        if visited[v]:
            continue
        visited[v]=True
        for x in g[v]:
            tmp=x[0]+c
            if tmp<dist[x[1]] and not visited[x[1]]:
                dist[x[1]]=tmp
                heappush(que,(tmp,x[1]))
    return dist

dist=dijkstra(g,0,n-1)
for i in range(n):
    print(i,dist[i])

Python: from sys import stdin
import heapq
INF = 1<<21
n = int(stdin.readline())
adj = [[]] * n
for u in range(0, n):
    U = list(map(int, stdin.readline().split()[2:]))
    adj[u] = list(zip(U[0::2], U[1::2]))
def dijkstra():
    d = [0] + [INF] * (n - 1)
    hq = [(0, 0)]
    while hq:
        u = heapq.heappop(hq)[1]
        for v, c in adj[u]:
            alt = d[u] + c
            if d[v] > alt:
                d[v] = alt
                heapq.heappush(hq, (alt, v))
    for i, c in enumerate(d):
        print(i, c)
dijkstra()

Python: import sys

f_i = sys.stdin

n = int(f_i.readline())

adj = [[]] * n
for x in f_i:
    x = list(map(int, x.split()))
    adj[x[0]] = [c_v for c_v in zip(x[3::2], x[2::2])]

import heapq

def dijkstra():
    PQ = [(0, 0)]
    isVisited = [False] * n
    distance = [999900001] * n

    distance[0] = 0
    
    while PQ:
        uc = heapq.heappop(PQ)
        u = uc[1]

        if uc[0] > distance[u]:
            continue

        isVisited[u] = True
        
        for vc in adj[u]:
            v = vc[1]
            if isVisited[v] == True:
                continue
            t_cost = distance[u] + vc[0]
            if t_cost < distance[v]:
                distance[v] = t_cost
                heapq.heappush(PQ, (t_cost, v))

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


dijkstra()

Python: from heapq import*
n=int(input())
A=[[]for _ in[0]*n]
for _ in[0]*n:
 e=list(map(int,input().split()))
 for i in range(e[1]):k=2*-~i;A[e[0]]+=[(e[k],e[k+1])]
H=[[0,0]]
d=[0]+[1e6]*n
c=[1]*n
while H:
 f=heappop(H)
 print(f)
 u=f[1]
 c[u]=0
 if d[u]>=f[0]:
  for s in A[u]:
   v=s[0]
   if c[v]and d[v]>d[u]+s[1]:
    d[v]=d[u]+s[1]
    heappush(H,[d[v],v])
for i in range(n):print(i,d[i])