Go: // ダイクストラのアルゴリズム
package main

import (
	"bufio"
	"fmt"
	"log"
	"math"
	"os"
	"strconv"
	"strings"
)

type color int

const (
	white color = iota // 未訪問
	mst                // MSTとして確定
)

// 頂点
type node struct {
	num     int         // 頂点の番号
	weights map[int]int // 重みMAP
	parent  *node       // MSTへの重み最小の親
	sum     int         // 始点からの距離
	color   color
}

func (p *node) getMinToMst() int {
	if p.parent == nil {
		return math.MaxInt32
	}
	return p.weights[p.parent.num]
}

func main() {
	scanner := bufio.NewScanner(os.Stdin)
	n := eGetInt(scanner)

	nodes := make([]*node, n)
	for i := 0; i < n; i++ {
		weights := eAtoi((strings.Fields(eGetline(scanner))))
		v := &node{weights[0], make(map[int]int, weights[1]), nil, 0, white}
		for j := 0; j < weights[1]; j++ {
			k := weights[j*2+2] // 相手の頂点名
			w := weights[j*2+3] // 重み
			v.weights[k] = w
		}
		nodes[i] = v
	}

	// 初回はnode[0]がMSTに入るように
	nodes[0].parent = nodes[0]

	for { // 全部チェックするまで

		// どの頂点を新たにMSTに取り込むか

		var minNode *node
		min := math.MaxInt32
		for _, v := range nodes {
			if v.color == mst {
				continue
			}
			if v.getMinToMst() < min {
				min = v.getMinToMst()
				minNode = v
			}
		}
		if minNode == nil {
			// すべて完了している.
			break
		}

		// MSTに追加する頂点決定
		minNode.color = mst
		// 自分の親の合計値と合算する
		minNode.sum = minNode.parent.sum + min

		// MSTに属していない頂点それぞれについて,MSTとの最小の重みの距離を加算
		for _, v := range nodes {
			if v.color == mst {
				continue
			}
			w, ok := v.weights[minNode.num]
			if !ok {
				// minNodeと接してない
				continue
			}

			if w < v.getMinToMst() {
				// minNodeへの距離がもっとも重みが少ないので親を変更
				v.parent = minNode
			}
		}
	}

	for i, v := range nodes {
		fmt.Printf("%d %d\n", i, v.sum)
	}
}

func eGetInt(scanner *bufio.Scanner) int {
	t := eAtoi(strings.Fields(eGetline(scanner)))
	return t[0]
}

func eGetline(p *bufio.Scanner) string {
	if !p.Scan() {
		if err := p.Err(); err != nil {
			log.Fatal(err.Error())
		}
		return ""
	}
	return p.Text()
}

func eAtoi(s []string) []int {
	ints := make([]int, len(s))
	var err error
	for i, e := range s {
		ints[i], err = strconv.Atoi(e)
		if err != nil {
			log.Fatal(err.Error())
		}
	}
	return ints
}

Python: from collections import defaultdict

def dijkstra(G, s):
  heap = Heap()
  heap.push((s, 0))
  fixed = set()
  d = defaultdict(lambda: 999999999999999999999)
  d[s] = 0
  while len(heap.data) > 0:
    v = heap.pop()
    if v in fixed:
      continue
    for u in G[v]:
      if u in fixed:
        continue
      c = G[v][u]
      if d[v] + c < d[u]:
        d[u] = d[v] + c
        heap.push((u, d[u]))
    fixed.add(v)
  return d


class Heap:
  def __init__(self):
    self.data = []

  def push(self,x):
    self.data.append(x)
    i = len(self.data)-1
    while self._p(i) >= 0:
      if self.data[i][1] < self.data[self._p(i)][1]:
        tmp = self.data[i]
        self.data[i] = self.data[self._p(i)]
        self.data[self._p(i)] = tmp
        i = self._p(i)
      else:
        break

  def pop(self):
    ret = self.top()
    n = self.data.pop()
    if len(self.data) > 0:
      self.data[0] = n
      i = 0
      while True:
        if self._l(i) < len(self.data):
          l = self.data[self._l(i)]
        else:
          l = (-1, 999999999999999999999)
        if self._r(i) < len(self.data):
          r = self.data[self._r(i)]
        else:
          r = (-1, 999999999999999999999)
        if l[1] > r[1]:
          if r[1] < self.data[i][1]:
            tmp = self.data[i]
            self.data[i] = self.data[self._r(i)]
            self.data[self._r(i)] = tmp
            i = self._r(i)
          else:
            break
        else:
          if l[1] < self.data[i][1]:
            tmp = self.data[i]
            self.data[i] = self.data[self._l(i)]
            self.data[self._l(i)] = tmp
            i = self._l(i)
          else:
            break
    return ret[0]

  def top(self):
    return self.data[0]

  def _p(self, i):
    i = i+1
    return i//2-1

  def _l(self, i):
    i = i+1
    return i*2-1

  def _r(self, i):
    i = i+1
    return i*2


G = {}

n = int(input())
for _ in range(n):
  entry = [int(v) for v in input().strip().split(' ')]
  u = entry[0]
  k = entry[1]
  G[u] = {}
  for i in range(k):
    v = entry[2+i*2]
    c = entry[3+i*2]
    G[u][v] = c

d = dijkstra(G, 0)

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

Python: def dijkstra(n, s):
    inf = float('inf')
    color = ['white' for _ in range(n)]
    D = [inf for _ in range(n)]             
    P = [0 for i in range(n)]        
    M = [[inf for _ in range(n)] for _ in range(n)]

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

    D[s] = 0
    P[s] = -1

    while True:
        cost, u = inf, 0
        for i in range(n):
            if color[i] != 'black' and D[i] < cost:  
                cost = D[i]
                u = i
        
        if cost == inf:                         
            break

        color[u] = 'black'                          

        for i in range(n):
            if color[i] != 'black' and M[u][i] != inf:             
                if D[u] + M[u][i] < D[i]:                           
                    D[i] = D[u] + M[u][i]                              
                    color[i] = 'gray'                            
                    P[i] = u                          

    return D

n = int(input())
distance = dijkstra(n, 0)
for i in range(n):
    print(i, distance[i])

Python: n = int(input())
G = [[-1 for i in range(n)] for j in range(n)]
d = [999999 for i in range(n)]
  
for i in range(n):
    v = input().split()
    for j in range(int(v[1])):
        G[int(v[0])][int(v[2+2*j])] = int(v[3+2*j])

flag = [0] * n
tn = [0]
d[0] = 0
for k in range(n):
    for i in range(n):
        if i in tn:
            for j in range(n):
                if G[i][j] != -1:
                    if d[j] > d[i] + G[i][j]:
                        d[j] = d[i] + G[i][j]
                    if j not in tn:
                        tn.append(j)
  
for i in range(n):
    print(str(i) + " " + str(d[i]))

Python: n = int(input())
global S, Q, l
S = [0]
Q = [0]
l = [1000000 for _ in range(n)]
l[0] = 0
graph = [[-1 for _ in range(n)] for _ in range(n)]
def input_graph(n):
  for _ in range(n):
    node_id, k, *v_list = list(map(int, input().split()))
    for j in range(k):
      ad_node, w = v_list[2*j], v_list[2*j+1]
      graph[node_id][ad_node] = w 


def dijkstra():
  while Q:
    u = float('inf') #10000000
    u_c = float('inf') #10000000
    for i in range(n):
      if i in Q and u_c > l[i]:
        u = i
        u_c = l[i]
    #print(l, u, S, Q)
    for i in range(n):
      v = i 
      if v not in S and graph[u][v] != -1:
        S.append(v)
        Q.append(v)
        l[v] = l[u] + graph[u][v]
      if (v in Q) and (l[v] > l[u] + graph[u][v]) and graph[u][v] != -1:
        l[v] = l[u] + graph[u][v]
    Q.remove(u)


if __name__ == "__main__":
  input_graph(n)
  dijkstra()
  for i, c in enumerate(l):
    print(i, c)