Problem: Find the sum of weights of edges of the Minimum Spanning Tree for a given weighted undirected graph G = (V, E).

Constraints

* 1 ≤ |V| ≤ 10,000
* 0 ≤ |E| ≤ 100,000
* 0 ≤ wi ≤ 10,000
* The graph is connected
* There are no parallel edges
* There are no self-loops

Input


|V| |E|
s0 t0 w0
s1 t1 w1
:
s|E|-1 t|E|-1 w|E|-1


, where |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 verticess of i-th edge (undirected) and wi represents the weight of the i-th edge.

Output

Print the sum of the weights of the Minimum Spanning Tree.

Examples

Input

4 6
0 1 2
1 2 1
2 3 1
3 0 1
0 2 3
1 3 5


Output

3


Input

6 9
0 1 1
0 2 3
1 2 1
1 3 7
2 4 1
1 4 3
3 4 1
3 5 1
4 5 6


Output

5

Solution (in PYTHON3):

Solution:
V,E = map(int,input().split())
edges = []
for _ in range(E):
    s,t,w = map(int,input().split())
    edges.append((w,s,t))
edges.sort()

# xの根を求める
def find(x):
    if par[x] < 0:
        return x
    else:
        par[x] = find(par[x])
        return par[x]


# xとyの属する集合の併合
def unite(x, y):
    x = find(x)
    y = find(y)

    if x == y:
        return False
    else:
        # sizeの大きいほうがx
        if par[x] > par[y]:
            x, y = y, x
        par[x] += par[y]
        par[y] = x
        return True


# xとyが同じ集合に属するかの判定
def same(x, y):
    return find(x) == find(y)


# xが属する集合の個数
def size(x):
    return -par[find(x)]

# 初期化
# 根なら-size,子なら親の頂点
par = [-1]*V
ans = 0
for e in edges:
    if same(e[1],e[2]):
        continue
    ans += e[0]
    unite(e[1],e[2])
print(ans)