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:
class UnionFind():
  def __init__(self, n):
    self.n = n
    self.parent = [i for i in range(self.n)]
    self.rank = [0] * self.n
  
  def find_root(self, x):
    if self.parent[x] == x:
      return x
    else:
      self.parent[x] = self.find_root(self.parent[x])
      return self.parent[x]
  
  def unite(self, x, y):
    rx = self.find_root(x)
    ry = self.find_root(y)
    if rx == ry:
      return
    if self.rank[rx] < self.rank[ry]:
      self.parent[rx] = ry
    else:
      self.parent[ry] = rx
      if self.rank[rx] == self.rank[ry]:
        self.rank[rx] += 1
  
  def is_same(self, x, y):
    return self.find_root(x) == self.find_root(y)

V, E = map(int, input().split())
edges = []
for _ in range(E):
  s, t, w = map(int, input().split())
  edges.append((w, s-1, t-1))
edges.sort()

uf = UnionFind(V)
total = 0
for e in edges:
  w, s, t = e
  if uf.is_same(s, t):
    continue
  uf.unite(s, t)
  total+= w
print(total)