We have a grid of squares with N rows and M columns. Let (i, j) denote the square at the i-th row from the top and j-th column from the left. We will choose K of the squares and put a piece on each of them.

If we place the K pieces on squares (x_1, y_1), (x_2, y_2), ..., and (x_K, y_K), the cost of this arrangement is computed as:

\sum_{i=1}^{K-1} \sum_{j=i+1}^K (|x_i - x_j| + |y_i - y_j|)

Find the sum of the costs of all possible arrangements of the pieces. Since this value can be tremendous, print it modulo 10^9+7.

We consider two arrangements of the pieces different if and only if there is a square that contains a piece in one of the arrangements but not in the other.

Constraints

* 2 \leq N \times M \leq 2 \times 10^5
* 2 \leq K \leq N \times M
* All values in input are integers.

Input

Input is given from Standard Input in the following format:


N M K


Output

Print the sum of the costs of all possible arrangements of the pieces, modulo 10^9+7.

Examples

Input

2 2 2


Output

8


Input

4 5 4


Output

87210


Input

100 100 5000


Output

817260251
n,m,k = map(int, input().split())

#############

mod = 10**9 + 7
max = n*m + 10
fac, finv, inv = [0]*max, [0]*max, [0]*max

def comInit(max):
    fac[0] = fac[1] = 1
    finv[0] = finv[1] = 1
    inv[1] = 1

    for i in range(2,max):
      fac[i] = fac[i-1]* i% mod
      inv[i] = mod - inv[mod%i] * (mod // i) % mod
      finv[i] = finv[i-1] * inv[i] % mod

comInit(max)

# 二項係数の計算
def com(n,k):
    if(n < k):
        return 0
    if( n<0 | k < 0):
        return 0
    return fac[n] * (finv[k] * finv[n-k] % mod) % mod

#############

ans = n*n*(m-1)*m*(m+1)//6 + m*m*(n-1)*n*(n+1)//6
ans = ans % mod
ans = (com(n*m -2, k-2) * ans) % mod

print(ans)