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:
# -*- coding: utf-8 -*-
"""
http://judge.u-aizu.ac.jp/onlinejudge/description.jsp?id=GRL_2_A&lang=jp

"""
import sys
from sys import stdin
input = stdin.readline
from collections import namedtuple


class DisjointSet(object):
    def __init__(self, size):
        self.rank = []
        self.p = []
        for i in range(size):
            self.makeSet(i)

    def makeSet(self, x):
        self.p.insert(x, x)
        self.rank.insert(x, 0)

    def same(self, x, y):
        return self.findSet(x) == self.findSet(y)

    def unite(self, x, y):
        self.link(self.findSet(x), self.findSet(y))

    def link(self, x, y):
        if self.rank[x] > self.rank[y]:
            self.p[y] = x
        else:
            self.p[x] = y
            if self.rank[x] == self.rank[y]:
                self.rank[y] += 1

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



def kruskal(V, E, es):
    es.sort(key=lambda x: x.c)
    uf = DisjointSet(V)
    res = 0

    for i in range(E):
        e = es[i]
        if not uf.same(e.u, e.v):
            uf.unite(e.u, e.v)
            res += e.c
    return res

edge = namedtuple('edge', ['u', 'v', 'c'])
def main(args):
    V, E = map(int, input().split())
    es = []
    for _ in range(E):
        s, t, w = map(int, input().split())
        es.append(edge(s, t, w))

    result = kruskal(V, E, es)
    print(result)



if __name__ == '__main__':
    main(sys.argv[1:])