# import pypyjit
# pypyjit.set_param('max_unroll_recursion=-1')
import sys
from itertools import combinations, permutations, product, accumulate, groupby
from collections import defaultdict, deque, Counter
from functools import reduce
from operator import add, mul
import heapq
import bisect
import math
import copy
 
sys.setrecursionlimit(10 ** 9)
input = lambda: sys.stdin.readline().rstrip()
INF = float("inf")
MOD = 10 ** 9 + 7


import collections
import heapq

class Dijkstra():
    def __init__(self):
        self.e = collections.defaultdict(list)

    def add(self, u, v, d, directed=False):
        """
        #0-indexedでなくてもよいことに注意
        #u = from, v = to, d = cost
        #directed = Trueなら、有向グラフである
        """
        if directed is False:
            self.e[u].append([v, d])
            self.e[v].append([u, d])
        else:
            self.e[u].append([v, d])

    def delete(self, u, v):
        self.e[u] = [_ for _ in self.e[u] if _[0] != v]
        self.e[v] = [_ for _ in self.e[v] if _[0] != u]

    def Dijkstra_search(self, s):
        """
        #0-indexedでなくてもよいことに注意
        #:param s: 始点
        #:return: 始点から各点までの最短経路と最短経路を求めるのに必要なprev
        """
        d = collections.defaultdict(lambda: float('inf'))
        prev = collections.defaultdict(lambda: None)
        d[s] = 0
        q = []
        heapq.heappush(q, (0, s))
        v = collections.defaultdict(bool)
        while len(q):
            k, u = heapq.heappop(q)
            if v[u]:
                continue
            v[u] = True

            for uv, ud in self.e[u]:
                if v[uv]:
                    continue
                vd = k + ud
                if d[uv] > vd:
                    d[uv] = vd
                    prev[uv] = u
                    heapq.heappush(q, (vd, uv))

        return d, prev

    def getDijkstraShortestPath(self, start, goal):
        _, prev = self.Dijkstra_search(start)
        shortestPath = []
        node = goal
        while node is not None:
            shortestPath.append(node)
            node = prev[node]
        return shortestPath[::-1]

N, M = map(int, input().split())
ABC = [list(map(int, input().split())) for i in range(M)]
graph = Dijkstra()
for a, b, c in ABC:
    graph.add(a, b, c)
    graph.add(a, -b, 0, True)
    graph.add(b, -a, 0, True)
    graph.add(-a, -b, c)
g, _ = graph.Dijkstra_search(1)
print(0)
for i in range(2, N + 1):
    print(g[i] + g[-i])