Go: package main

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

var sc = bufio.NewScanner(os.Stdin)

const T = 10000000

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

func nextInt() int {
	sc.Scan()
	i, _ := strconv.Atoi(sc.Text())
	return i
}
func Shortestsearch() {
	var Minimum int
	var d, color [100]int
	var u int

	for i := 0; i < n; i++ {
		d[i] = T
		color[i] = 0
	}

	d[0] = 0
	color[0] = 1

	for {
		Minimum = T
		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] != T {
				if d[j] > d[u]+A[u][j] {
					d[j] = d[u] + A[u][j]
					color[j] = 1
				}
			}
		}
	}
	for i := 0; i < n; i++ {
		fmt.Printf("%d %d\n", i, d[i])
	}
}
func main() {
	sc.Split(bufio.ScanWords)
	n = nextInt()

	for i := 0; i < n; i++ {
		for j := 0; j < n; j++ {
			A[i][j] = T
		}
	}
	for i := 0; i < n; i++ {
		u := nextInt()
		k := nextInt()
		for j := 0; j < k; j++ {
			v := nextInt()
			c := nextInt()
			A[u][v] = c
		}
	}
	Shortestsearch()
}

Python: import heapq
from collections import deque
from enum import Enum
import sys
import math
from _heapq import heappush, heappop

#------------------------------------------#

BIG_NUM = 2000000000
HUGE_NUM = 9999999999999999
MOD = 1000000007
EPS = 0.000000001

#------------------------------------------#

class Edge:
    def __init__(self,arg_to,arg_cost):
        self.to = arg_to
        self.cost = arg_cost

class Info:
    def __init__(self,arg_node_id,arg_sum_cost):
        self.node_id = arg_node_id
        self.sum_cost = arg_sum_cost

    def __lt__(self,arg):
        return self.sum_cost < arg.sum_cost


V = int(input())
min_dist = [BIG_NUM]*V
G = [[] for i in range(V)]

for loop in range(V):
    node_id,tmp_num,*table = list(map(int,input().split()))
    for i in range(0,len(table),2):
        G[node_id].append(Edge(table[i],table[i+1]))


min_dist[0] = 0
Q = []

heappush(Q, Info(0,0))

while len(Q) > 0:
    info = heappop(Q)
    if info.sum_cost > min_dist[info.node_id]:
        continue
    for edge in G[info.node_id]:
        if min_dist[edge.to] > info.sum_cost+edge.cost:
            min_dist[edge.to] = info.sum_cost+edge.cost
            heappush(Q, Info(edge.to,min_dist[edge.to]))


for i in range(V):
    print("%d %d"%(i,min_dist[i]))

Python: INFTY = 1 << 21
WHITE = 0
GRAY = 1
BLACK = 2
 
n = int(input())
M = [list(map(int, input().split())) for i in range(n)]
for u in range(0, n):
    U = list(map(int, input().split()[2:]))
    for j in range(0, len(U), 2):
        M[u][U[j]] = U[j + 1]
d = [INFTY for i in range(n)]
color = [WHITE for i in range(n)]

def dijkstra():
    global M, d, color, n
    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(str(i), (-1 if d[i] == INFTY else str(d[i])))
dijkstra()

Python: from collections import namedtuple
import heapq

Edge = namedtuple('Edge', ('fr', 'to', 'cost'))
inf = int(1e9)


def bellman_ford(n, start, edges):
    dists = [inf for _ in range(n)]
    dists[start] = 0
    while True:
        updated = False
        for e in edges:
            if dists[e.fr] != inf and dists[e.fr] + e.cost < dists[e.to]:
                updated = True
                dists[e.to] = dists[e.fr] + e.cost

        if not updated:
            break

    return dists


def dijkstra(n, costs):
    dists = [inf for _ in range(n)]
    dists[0] = 0

    queue = []
    for (i, d) in enumerate(dists):
        heapq.heappush(queue, (d, i))

    while len(queue) > 0:
        d, i = heapq.heappop(queue)
        if d > dists[i]:
            continue

        for v in range(n):
            if v == i or costs[i][v] == inf:
                continue

            if dists[i] + costs[i][v] < dists[v]:
                dists[v] = dists[i] + costs[i][v]
                heapq.heappush(queue, (dists[v], v))

    return dists


def warshall_floyd(n, costs):
    dists = [[costs[i][j] if i != j else 0 for i in range(n)] for j in range(n)]

    for k in range(n):
        for i in range(n):
            for j in range(n):
                dists[i][j] = min(dists[i][j], dists[i][k] + dists[k][j])

    return dists


n = int(input())

m = [[inf for _ in range(n)] for _ in range(n)]
es = []
for i in range(n):
    fs = list(map(int, input().split()))
    ne = fs[1]
    for j in range(ne):
        v = fs[2+2*j]
        c = fs[2+2*j+1]
        m[i][v] = c
        es.append(Edge(i, v, c))


# d = bellman_ford(n, 0, es)
# d = dijkstra(n, m)
d = warshall_floyd(n, m)
for (i, di) in enumerate(d[0]):
    print(i, di)

Python: n = int(input())

graph = [[] for i in range(n)]

for i in range(n):
    a = list(map(int, input().split()))
    for j in range(a[1]):
        graph[a[0]].append(a[2+j*2:4+j*2])  #[頂点, cost]

memo = [10**10 for i in range(n)]
memo[0] = 0

import heapq
q = []
heapq.heappush(q, (0, 0))   #(それまでのcost, 頂点)
while len(q) != 0:
    top = heapq.heappop(q)
    for g in graph[top[1]]:
        cost = top[0] + g[1]
        if memo[g[0]] > cost:
            memo[g[0]] = cost
            heapq.heappush(q, (cost, g[0]))

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

Python: inf = float("inf")


class Node():

    def __init__(self, _id):
        self.id = _id
        self.d = inf
        self.pi = None
        self.color = 0
        self.adj = {}

    def input_data(self, data):
        k = data[0]
        for i in range(k):
            self.adj[G[data[2 * i + 1]]] = data[2 * i + 2]

    def __hash__(self):
        return hash(self.id)

def dijkstra():
    while True:
        mincost = inf
        for i in G:
            if i.color != 1 and i.d < mincost:
                mincost = i.d
                u = i
        if mincost == inf:
            break
        u.color = 1
        for v in u.adj.keys():
            if v.color != 1 and u.d + u.adj[v] < v.d:
                v.pi = u
                v.d = u.d + u.adj[v]

if __name__ == "__main__":
    n = int(input())
    G = [Node(i) for i in range(n)]
    for _ in range(n):
        data = [int(i) for i in input().split()]
        G[data[0]].input_data(data[1:])
        if data[0] == 0:
            G[data[0]].d = 0
    dijkstra()
    [print(i.id, i.d) for i in G]

Python: #!/usr/bin/env python3
import sys
import heapq
input = lambda: sys.stdin.readline()[:-1]
sys.setrecursionlimit(10**8)
inf = float('inf')
mod = 10**9+7

n=int(input())
G=[[] for i in range(n)]
for _ in range(n):
    inp = list(map(int,input().split()))
    u,k=inp[:2]
    for i in range(k):
        G[u].append((inp[2+2*i],inp[3+2*i]))

def disktra(g,s):
    n=len(g)
    dist = [inf]*n
    dist[s] = 0
    hq=[]
    heapq.heappush(hq,(dist[s],s))
    while hq:
        cost,u =heapq.heappop(hq)
        if dist[u] < cost:
            continue
        for v,c in g[u]:
            if dist[v] <= dist[u] +c:
                continue
            dist[v] = dist[u] + c
            heapq.heappush(hq,(dist[v],v))
    return dist

d=disktra(G,0)
for i in range(n):
    print(i,d[i])

Python: # Single Source Shortest Path 1
INF = 10**10
N = int(input())
W = [[INF]*(N) for _ in [0]*(N)]

for _ in [0]*N:
    v, k, *A = map(int, input().split())
    for u, c in zip(*[iter(A)]*2):
        W[v][u] = c

S = set()
d = [INF]*N

d[0] = 0
while len(S) < N:
    dmin = INF
    v = -1
    for i in range(N):
        if i not in S and d[i] < dmin:
            dmin = d[i]
            v = i

    S.add(v)
    for u, w in enumerate(W[v]):
        if d[v]+w < d[u]:
            d[u] = d[v]+w

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