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: 
def dijkstra(adj_matrix, n):
    dist = [float("inf") for _ in range(n)]
    visited = [False for _ in range(n)]
    parent = [-1 for _ in range(n)]

    start = 0
    dist[start] = 0
    visited[start] = True
    while True:
        for end in range(n):
            # startから出ているノードの距離を計算
            if not visited[end] and adj_matrix[start][end] > -1 and dist[start] + adj_matrix[start][end] < dist[end]:
                dist[end] = dist[start] + adj_matrix[start][end]
                parent[end] = start

        # 一番近い距離にあるノードを訪問する
        min_cost = float("inf")
        for nextnode in range(n):

            if not visited[nextnode] and dist[nextnode] < min_cost:
                min_cost = dist[nextnode]
                start = nextnode
        if min_cost == float("inf"):
            return parent, dist
        visited[start] = True


def main():
    n = int(input())
    adj_matrix = []
    for _ in range(n):
        row = [-1 for _ in range(n)]
        line = input().split()
        dim = int(line[1])
        for i in range(dim):
            row[int(line[2 + i * 2])] = int(line[2 + i * 2 + 1])
        adj_matrix.append(row)
    _, dist = dijkstra(adj_matrix, n)
    for i in range(n):
        print("{} {}".format(i, dist[i]))


if __name__ == "__main__":
    main()

Python: def diikstraMethd(G, s):
    # ?????????
    n = len(G)
    # White:0 Gyay:1 Black:2
    color = [0 for _ in range(n)]
    d = [INF for _ in range(n)]
    p = [None for _ in range(n)]

    d[s] = 0

    while True:
        mincost = INF
        for i in range(n):
            if color[i] != 2 and d[i] < mincost:
                mincost = d[i]
                u = i

        if mincost == INF: break

        color[u] = 2

        for v in range(n):
            if color[v] != 2 and M[u][v] != INF:
                if d[u] + M[u][v] < d[v]:
                    d[v] = d[u] + M[u][v]
                    p[v] = u
                    color[u] = 1

    return d

if __name__ == '__main__':
    n = int(input())
    M = [[INF for _ in range(n)] for i in range(n)]
    for _ in range(n):
        tmp = list(map(int, input().split()))
        u = tmp.pop(0)
        k = tmp.pop(0)
        for _ in range(k):
            v = tmp.pop(0)
            c = tmp.pop(0)
            M[u][v] = c
    d = diikstraMethd(M, 0)


    for i in range(n):
        print('{0} {1}'.format(i, d[i]))

Python: def shortest_path(V,uvc,start=0):
    distances = [INF]*V
    distances[start] = 0
    parents = list(range(V))

    for _ in range(V):
        modified = False
        for src,dst,cost in uvc:
            if distances[dst] > distances[src] + cost:
                distances[dst] = distances[src] + cost
                parents[dst] = src
                modified = True
        if modified == False:
            return distances,parents
    return None,None
import sys
INF = float("inf")
N = int(sys.stdin.readline())
G = tuple(tuple(map(int,sys.stdin.readline().rstrip().split()))[2:] for _ in range(N))
uvc = []
for i in range(N):
    for j in range(0,len(G[i]),2):
        uvc.append([i,G[i][j],G[i][j+1]])  
a,_ = shortest_path(N,uvc,0)
for i,v in enumerate(a):
    print(i,v)

Python: def Single_Source_Shortest_Path(adj_mat, cost, parent):
    N = len(cost)
    color = ["W" for n in range(N)]
    parent[0] = -1
    cost[0] = 0

    while True:
        mincost = 1000000

        for i in range(N):
            if color[i] != "B" and cost[i] < mincost:
                u = i
                mincost = cost[u]

        if mincost == 1000000:
            break

        color[u] = "B"

        for v in range(N):
            if color[v] != "B" and adj_mat[u][v] >= 0:
                if cost[v] > cost[u] + adj_mat[u][v]:
                    cost[v] = cost[u] + adj_mat[u][v]
                    parent[v] = u
                    color[v] = "G"

def Main():
    N = int(input())
    cost = [1000000 for n in range(N)]
    color = ["W" for n in range(N)]
    adj_mat = [[ -1 for n in range(N)] for n in range(N)]
    parent = [-1 for n in range(N)]

    for n in range(N):
        u, K, *p = map(int, input().split())

        for k in range(K):
            v, c = p[2*k], p[2*k + 1]
            adj_mat[u][v] = c

    Single_Source_Shortest_Path(adj_mat, cost, parent)

    for i in range(N):
        print("{} {}".format(i, cost[i]))

Main()

Python: N = 100
WHITE = 0
GRAY = 1
BLACK = 2
INF = float('inf')
M = None
d = [INF for _ in range(N)]
p = [0 for _ in range(N)]
color = [WHITE for _ in range(N)]
n = 0


def main():
    global n, M

    n = int(input())
    M = [[INF for _ in range(n)] for _ in range(n)]

    for i in range(n):
        _, k, *v_s = map(int, input().split(' '))
        for j in range(k):
            c_i = 2*j + 1
            v = v_s[2*j]
            M[i][v] = v_s[c_i]

    dijkstra(0)

    for i in range(n):
        print('{} {}'.format(i, d[i]))


def dijkstra(s):
    d[s] = 0
    p[s] = -1

    while True:
        mincost = INF
        for i in range(n):
            if color[i] != BLACK and d[i] < mincost:
                mincost = d[i]
                u = i

        if mincost == INF:
            break

        color[u] = BLACK

        for v in range(n):
            if color[v] != BLACK and M[u][v] != INF:
                if d[u] + M[u][v] < d[v]:
                    d[v] = d[u] + M[u][v]
                    p[v] = u
                    color[v] = GRAY


if __name__ == '__main__':
    main()