You are given a tree that consists of n nodes. You should label each of its n-1 edges with an integer in such way that satisfies the following conditions: 

  * each integer must be greater than 0; 
  * the product of all n-1 numbers should be equal to k; 
  * the number of 1-s among all n-1 integers must be minimum possible. 



Let's define f(u,v) as the sum of the numbers on the simple path from node u to node v. Also, let ∑_{i=1}^{n-1} ∑_{j=i+1}^n f(i,j) be a distribution index of the tree.

Find the maximum possible distribution index you can get. Since answer can be too large, print it modulo 10^9 + 7.

In this problem, since the number k can be large, the result of the prime factorization of k is given instead.

Input

The first line contains one integer t (1 ≤ t ≤ 100) — the number of test cases.

The first line of each test case contains a single integer n (2 ≤ n ≤ 10^5) — the number of nodes in the tree.

Each of the next n-1 lines describes an edge: the i-th line contains two integers u_i and v_i (1 ≤ u_i, v_i ≤ n; u_i ≠ v_i) — indices of vertices connected by the i-th edge.

Next line contains a single integer m (1 ≤ m ≤ 6 ⋅ 10^4) — the number of prime factors of k.

Next line contains m prime numbers p_1, p_2, …, p_m (2 ≤ p_i < 6 ⋅ 10^4) such that k = p_1 ⋅ p_2 ⋅ … ⋅ p_m.

It is guaranteed that the sum of n over all test cases doesn't exceed 10^5, the sum of m over all test cases doesn't exceed 6 ⋅ 10^4, and the given edges for each test cases form a tree.

Output

Print the maximum distribution index you can get. Since answer can be too large, print it modulo 10^9+7.

Example

Input


3
4
1 2
2 3
3 4
2
2 2
4
3 4
1 3
3 2
2
3 2
7
6 1
2 3
4 6
7 3
5 1
3 6
4
7 5 13 3


Output


17
18
286

Note

In the first test case, one of the optimal ways is on the following image:

<image>

In this case, f(1,2)=1, f(1,3)=3, f(1,4)=5, f(2,3)=2, f(2,4)=4, f(3,4)=2, so the sum of these 6 numbers is 17.

In the second test case, one of the optimal ways is on the following image:

<image>

In this case, f(1,2)=3, f(1,3)=1, f(1,4)=4, f(2,3)=2, f(2,4)=5, f(3,4)=3, so the sum of these 6 numbers is 18.
mod = 10**9+7
import sys
input = sys.stdin.readline
from collections import deque

class Graph(object):
	"""docstring for Graph"""
	def __init__(self,n,d): # Number of nodes and d is True if directed
		self.n = n
		self.graph = [[] for i in range(n)]
		self.parent = [-1 for i in range(n)]
		self.directed = d
		
	def addEdge(self,x,y):
		self.graph[x].append(y)
		if not self.directed:
			self.graph[y].append(x)

	def bfs(self, root): # NORMAL BFS
		queue = [root]
		queue = deque(queue)
		vis = [0]*self.n
		while len(queue)!=0:
			element = queue.popleft()
			vis[element] = 1
			for i in self.graph[element]:
				if vis[i]==0:
					queue.append(i)
					self.parent[i] = element
					vis[i] = 1

	def dfs(self, root, ans): # Iterative DFS
		stack=[root]
		vis=[0]*self.n
		stack2=[]
		while len(stack)!=0: # INITIAL TRAVERSAL
			element = stack.pop()
			if vis[element]:
				continue
			vis[element] = 1
			stack2.append(element)
			for i in self.graph[element]:
				if vis[i]==0:
					self.parent[i] = element
					stack.append(i)

		while len(stack2)!=0: # BACKTRACING. Modify the loop according to the question
			element = stack2.pop()
			m = 0
			for i in self.graph[element]:
				if i!=self.parent[element]:
					m += ans[i]
			ans[element] = m+1
		return ans

	def shortestpath(self, source, dest): # Calculate Shortest Path between two nodes
		self.bfs(source)
		path = [dest]
		while self.parent[path[-1]]!=-1:
			path.append(parent[path[-1]])
		return path[::-1]

	def detect_cycle(self):
		indeg = [0]*self.n
		for i in range(self.n):
			for j in self.graph[i]:
				indeg[j] += 1
		q = deque()
		vis = 0
		for i in range(self.n):
			if indeg[i]==0:
				q.append(i)
		while len(q)!=0:
			e = q.popleft()
			vis += 1
			for i in self.graph[e]:
				indeg[i] -= 1
				if indeg[i]==0:
					q.append(i)
		if vis!=self.n:
			return True
		return False

	def reroot(self, root, ans):
		stack = [root]
		vis = [0]*n
		while len(stack)!=0:
			e = stack[-1]
			if vis[e]:
				stack.pop()
				# Reverse_The_Change()
				continue
			vis[e] = 1
			for i in graph[e]:
				if not vis[e]:
					stack.append(i)
			if self.parent[e]==-1:
				continue
			# Change_The_Answers()

	def maximizeSum(self):
		edges = []
		for i in range(1,n):
			edges.append(count[i]*(n-count[i]))
		edges.sort()
		# print (edges)

		ans = 0
		for i in range(n-1):
			ans += (edges[i]*a[i])%mod
			ans = ans%mod

		return (ans)



for nt in range(int(input())):
	n = int(input())
	g = Graph(n,False)
	for i in range(n-1):
		x,y = map(int,input().split())
		g.addEdge(x-1,y-1)


	m = int(input())
	a = list(map(int,input().split()))
	if m<=n-1:
		a.extend([1]*(n-1-m))
		a.sort()
	else:
		a.sort()
		x = 1
		for i in range(n-2,m):
			x = (x*a[i])%mod
			x = x%mod
		a = a[0:n-2]+[x]
	# print (a)
	count = [0]*n
	count = g.dfs(0,count)
	# print (count)
	print (g.maximizeSum()) 
