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.root = [-1]*(n+1)
		self.rank = [0]*(n+1)

	def find(self, x):
		if(self.root[x] < 0):
			return x
		else:
			self.root[x] = self.find(self.root[x])
			return self.root[x]
			
	def unite(self, x, y):
		x = self.find(x)
		y = self.find(y)
		if(x == y):
			return 0
		elif(self.rank[x] > self.rank[y]):
			self.root[x] += self.root[y]
			self.root[y] = x
		else:
			self.root[y] += self.root[x]
			self.root[x] = y
			if(self.rank[x] == self.rank[y]):
				self.rank[y] += 1

	def isSame(self, x, y):
		return self.find(x) == self.find(y)

V,E,*t = map(int,open(0).read().split())
edges = sorted([(w,s,t) for s,t,w in zip(*[iter(t)]*3)])
uf = UnionFind(V)
ans = 0
for w,s,t in edges:
	if not uf.isSame(s,t):
		ans += w
		uf.unite(s,t)
print(ans)