For a given weighted directed graph G(V, E), find the distance of the shortest route that meets the following criteria:

* It is a closed cycle where it ends at the same point it starts.
* It visits each vertex exactly once.

Constraints

* 2 ≤ |V| ≤ 15
* 0 ≤ di ≤ 1,000
* There are no multiedge

Input


|V| |E|
s0 t0 d0
s1 t1 d1
:
s|E|-1 t|E|-1 d|E|-1


|V| is the number of vertices and |E| is the number of edges in the graph. The graph vertices are named with the numbers 0, 1,..., |V|-1 respectively.

si and ti represent source and target vertices of i-th edge (directed) and di represents the distance between si and ti (the i-th edge).

Output

Print the shortest distance in a line. If there is no solution, print -1.

Examples

Input

4 6
0 1 2
1 2 3
1 3 9
2 0 1
2 3 6
3 2 4


Output

16


Input

3 3
0 1 1
1 2 1
0 2 1


Output

-1
v, e = map(int, input().split())

inf = 10**7
edges = [[inf]*v for _ in range(v)]

for i in range(e):
    s, t, d = map(int, input().split())
    edges[s][t] = d

#Dpは全体集合の部分集合Sについて最後がvであるという制約の下で順序を最適化したときのSの中での最小コスト
dp = [[inf]*v for _ in range(2**v)]
dp[0][0] = 0

#集合（訪れたか訪れていないかを表す二進数）
for x in range(2**v):
    #最後に訪れたノード
    for y in range(v):
        #最後に訪れた以外のノード
        for z in range(v):
            #1.すでに訪れたかどうか 2.最後に訪れたノードではないか 3. yとzはそもそもつながっているのか
            if ((x >> y) & 1) and y != z and edges[z][y] < 10**6:
                dp[x][y] = min(dp[x][y], dp[x^(1<<y)][z]+edges[z][y])

if dp[-1][0] > 10**6:
    print(-1)
else:
    print(dp[-1][0])
