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:
import sys


class UnionFind():
    def __init__(self, n):
        self.n = n
        self.p = [i for i in range(n + 5)]
        self.rank = [0 for i in range(n + 5)]

    def find_set(self, x):
        if self.p[x] != x:
            self.p[x] = self.find_set(self.p[x])
        return self.p[x]

    def unite(self, x, y):
        px, py = self.find_set(x), self.find_set(y)
        if px == py:
            return
        if self.rank[px] > self.rank[py]:
            self.p[py] = px
        else:
            self.p[px] = py
            if self.rank[px] == self.rank[py]:
                self.rank[py] += 1


def main():
    sys.setrecursionlimit(int(1e5))
    nvertices, nedges = map(int, input().split())
    E = []
    uf = UnionFind(nvertices)
    for i in range(nedges):
        s, t, w = map(int, input().split())
        E.append((w, s, t))
    E.sort()

    ans = 0
    for w, s, t in E:
        if uf.find_set(s) != uf.find_set(t):
            ans += w
            uf.unite(s, t)

    print(ans)


main()