def read_data():
    N, M = map(int, input().split())
    Us = [int(input()) for i in range(N)]
    dist = [dict() for i in range(N)]
    for n in range(N - 1):
        a, b, c = map(int, input().split())
        dist[a][b] = c
        dist[b][a] = c
    return N, M, Us, dist

def solve(N, M, Us, dist):
    M2 = M // 2
    used = [False] * N
    dp = [[0] * (M2 + 1) for i in range(N)]
    dfs(0, Us, dist, dp, used, M2)
    return max(dp[0][:M2 + 1])

def dfs(v, Us, dist, dp, used, M2):
    used[v] = True
    dp[v][0] = Us[v]
    dpv = dp[v]
    for u, cost in dist[v].items():
        if used[u]:
            continue
        dfs(u, Us, dist, dp, used, M2)
        dpu = dp[u]
        merge_dp(dpv, dpu, M2, cost)

def merge_dp(dpv, dpu, M2, cost):
    dpv_original = dpv[:]
    for k in range(M2 - cost + 1):
        if dpv_original[k] == 0:
            continue
        dpvk = dpv_original[k]
        for i in range(M2 - cost - k + 1):
            dpui = dpu[i]
            if dpui and dpvk + dpui > dpv[k + i + cost]:
                dpv[k + i + cost] = dpvk + dpui

N, M, Us, dist = read_data()
print(solve(N, M, Us, dist))