Problem: Nuske has a grid with N rows and M columns of squares. The rows are numbered 1 through N from top to bottom, and the columns are numbered 1 through M from left to right. Each square in the grid is painted in either blue or white. If S_{i,j} is 1, the square at the i-th row and j-th column is blue; if S_{i,j} is 0, the square is white. For every pair of two blue square a and b, there is at most one path that starts from a, repeatedly proceeds to an adjacent (side by side) blue square and finally reaches b, without traversing the same square more than once.

Phantom Thnook, Nuske's eternal rival, gives Q queries to Nuske. The i-th query consists of four integers x_{i,1}, y_{i,1}, x_{i,2} and y_{i,2} and asks him the following: when the rectangular region of the grid bounded by (and including) the x_{i,1}-th row, x_{i,2}-th row, y_{i,1}-th column and y_{i,2}-th column is cut out, how many connected components consisting of blue squares there are in the region?

Process all the queries.

Constraints

* 1 ≤ N,M ≤ 2000
* 1 ≤ Q ≤ 200000
* S_{i,j} is either 0 or 1.
* S_{i,j} satisfies the condition explained in the statement.
* 1 ≤ x_{i,1} ≤ x_{i,2} ≤ N(1 ≤ i ≤ Q)
* 1 ≤ y_{i,1} ≤ y_{i,2} ≤ M(1 ≤ i ≤ Q)

Input

The input is given from Standard Input in the following format:


N M Q
S_{1,1}..S_{1,M}
:
S_{N,1}..S_{N,M}
x_{1,1} y_{i,1} x_{i,2} y_{i,2}
:
x_{Q,1} y_{Q,1} x_{Q,2} y_{Q,2}


Output

For each query, print the number of the connected components consisting of blue squares in the region.

Examples

Input

3 4 4
1101
0110
1101
1 1 3 4
1 1 3 1
2 2 3 4
1 2 2 4


Output

3
2
2
2


Input

5 5 6
11010
01110
10101
11101
01010
1 1 5 5
1 2 4 5
2 3 3 4
3 3 3 3
3 1 3 5
1 1 3 4


Output

3
2
1
1
3
2

Solution (in PYTHON3):

Solution:
import gc


class Ruiseki2D():
    """二次元累積和を構築する
    構築O(HW), 区間取得クエリO(1)
    """
    def __init__(self, matrix):
        self.h = len(matrix)
        self.w = len(matrix[0])
        self.ruiseki = [[0] * (self.w + 1) for _ in range(self.h + 1)]

        for i in range(self.h):
            for j in range(self.w):
                self.ruiseki[i + 1][j + 1] = self.ruiseki[i + 1][j] + matrix[i][j]
        for i in range(self.h):
            for j in range(self.w):
                self.ruiseki[i + 1][j + 1] += self.ruiseki[i][j + 1]

    def get_sum(self, hl, hr, wl, wr):
        """[hl, hr), [wl, wr) で囲まれた部分の和を求める"""
        return self.ruiseki[hr][wr] + self.ruiseki[hl][wl] - self.ruiseki[hr][wl] - self.ruiseki[hl][wr]


n, m, q = map(int, input().split())
s = [list(map(int, input())) for i in range(n)]
query = [list(map(int, input().split())) for i in range(q)]

ru_col_cnt = Ruiseki2D(s)

# メモリ削減のため累積和配列を使い回す
yoko_edge = [[0] * (m + 1) for i in range(n + 1)]
for i in range(n):
    for j in range(m - 1):
        if s[i][j] == 1 and s[i][j + 1] == 1:
            yoko_edge[i + 1][j + 1] = 1
for i in range(n):
    for j in range(m):
        yoko_edge[i + 1][j + 1] += yoko_edge[i + 1][j]
for i in range(n):
    for j in range(m):
        yoko_edge[i + 1][j + 1] += yoko_edge[i][j + 1]

tate_edge = [[0] * (m + 1) for i in range(n + 1)]
for i in range(n - 1):
    for j in range(m):
        if s[i][j] == 1 and s[i + 1][j] == 1:
            tate_edge[i + 1][j + 1] = 1
for i in range(n):
    for j in range(m):
        tate_edge[i + 1][j + 1] += tate_edge[i + 1][j]
for i in range(n):
    for j in range(m):
        tate_edge[i + 1][j + 1] += tate_edge[i][j + 1]



def yoko_get_sum(hl, hr, wl, wr):
    return yoko_edge[hr][wr] + yoko_edge[hl][wl] - yoko_edge[hr][wl] - yoko_edge[hl][wr]
  
def tate_get_sum(hl, hr, wl, wr):
    return tate_edge[hr][wr] + tate_edge[hl][wl] - tate_edge[hr][wl] - tate_edge[hl][wr]

for hl, wl, hr, wr in query:
    hl, wl = hl - 1, wl - 1
    ans = ru_col_cnt.get_sum(hl, hr, wl, wr)
    ans -= yoko_get_sum(hl, hr, wl, wr - 1) + tate_get_sum(hl, hr - 1, wl, wr)
    print(ans)