You are given a tree (a connected undirected graph without cycles) of n vertices. Each of the n - 1 edges of the tree is colored in either black or red.

You are also given an integer k. Consider sequences of k vertices. Let's call a sequence [a_1, a_2, …, a_k] good if it satisfies the following criterion:

  * We will walk a path (possibly visiting same edge/vertex multiple times) on the tree, starting from a_1 and ending at a_k. 
  * Start at a_1, then go to a_2 using the shortest path between a_1 and a_2, then go to a_3 in a similar way, and so on, until you travel the shortest path between a_{k-1} and a_k.
  * If you walked over at least one black edge during this process, then the sequence is good. 

<image>

Consider the tree on the picture. If k=3 then the following sequences are good: [1, 4, 7], [5, 5, 3] and [2, 3, 7]. The following sequences are not good: [1, 4, 6], [5, 5, 5], [3, 7, 3].

There are n^k sequences of vertices, count how many of them are good. Since this number can be quite large, print it modulo 10^9+7.

Input

The first line contains two integers n and k (2 ≤ n ≤ 10^5, 2 ≤ k ≤ 100), the size of the tree and the length of the vertex sequence.

Each of the next n - 1 lines contains three integers u_i, v_i and x_i (1 ≤ u_i, v_i ≤ n, x_i ∈ \{0, 1\}), where u_i and v_i denote the endpoints of the corresponding edge and x_i is the color of this edge (0 denotes red edge and 1 denotes black edge).

Output

Print the number of good sequences modulo 10^9 + 7.

Examples

Input


4 4
1 2 1
2 3 1
3 4 1


Output


252

Input


4 6
1 2 0
1 3 0
1 4 0


Output


0

Input


3 5
1 2 1
2 3 0


Output


210

Note

In the first example, all sequences (4^4) of length 4 except the following are good: 

  * [1, 1, 1, 1]
  * [2, 2, 2, 2]
  * [3, 3, 3, 3]
  * [4, 4, 4, 4] 



In the second example, all edges are red, hence there aren't any good sequences.
import sys
input = sys.stdin.readline

class Unionfind:
    def __init__(self, n):
        self.par = [-1]*n
        self.rank = [1]*n
    
    def root(self, x):
        p = x
        
        while not self.par[p]<0:
            p = self.par[p]
        
        while x!=p:
            tmp = x
            x = self.par[x]
            self.par[tmp] = p
        
        return p
    
    def unite(self, x, y):
        rx, ry = self.root(x), self.root(y)
        
        if rx==ry: return False
        
        if self.rank[rx]<self.rank[ry]:
            rx, ry = ry, rx
        
        self.par[rx] += self.par[ry]
        self.par[ry] = rx
    
        if self.rank[rx]==self.rank[ry]:
            self.rank[rx] += 1
    
    def is_same(self, x, y):
        return self.root(x)==self.root(y)
    
    def count(self, x):
        return -self.par[self.root(x)]

n, k = map(int, input().split())
MOD = 10**9+7
uf = Unionfind(n)

for _ in range(n-1):
    u, v, x = map(int, input().split())
    
    if x==0:
        uf.unite(u-1, v-1)
    
sub = 0
roots = set(uf.root(i) for i in range(n))

for r in roots:
    c = uf.count(r)
    sub += pow(c, k, MOD)
    sub %= MOD

print((pow(n, k, MOD)-sub)%MOD)