from scipy.sparse.csgraph import shortest_path, johnson
from scipy.sparse import csr_matrix
import numpy as np
n,m=map(int,input().split())
a=[[10**18]*n for _ in range(n)]
for i in range(m):
    s,t,d=map(int,input().split())
    a[s-1][t-1]=min(a[s-1][t-1],d)
a = np.array(a)
ans=shortest_path(a,method="J")
for i in range(n):
    m=0
    for j in range(n):
        if ans[i][j]>=10**15:
            m+=0
        else:
            m+=int(ans[i][j])
    print(m)