Galileo's latest project involves determining the density of stars in certain regions of the sky. For this purpose he started looking for datasets online, and discovered a dataset on Newton's blog. Newton had decomposed the night sky into a Voronoi tessellation with the generators arranged in a grid. He has stored the number of stars in a Voronoi cell at a position in a matrix that corresponds to the position of the generator in the grid.
This dataset does not directly help Galileo, because he needs to be able to query the number of stars in a rectangular portion of the sky. Galileo tried to write a program that does this on his own, but it turned out to be too slow. Can you help him?

-----Input Format-----
The first line contains two integers n and m that denote the height and width of the matrix respectively. This is followed by  n lines each containing m integers each.
The line following this would contain a single integer t, the number of queries to be run. Each query line consists of 4 integers px, py, qx, qy. The first two integers denote the row and column numbers of the upper left corner of the rectangular region, and the second pair of numbers correspond to the lower right corner.

-----Output Format-----
For each query output a single line containing the number of stars in that rectangular region.

-----Example-----
Input:

3 3
10 10 10
10 10 10
10 10 10
4
1 1 1 1
1 1 3 3
2 1 3 3
3 1 3 3

Output:

10
90
60
30

```python

USER_FILENAME = "<user_code>"
import sys, json, builtins
import math, heapq, bisect, itertools, functools, collections, statistics, fractions, decimal, operator, array, random, re, string, os, pathlib
try:
    import resource as _res
except Exception:
    _res = None
from collections import Counter, defaultdict, deque, OrderedDict
from functools import lru_cache, reduce
from itertools import accumulate, permutations, combinations, product
from math import gcd, ceil, floor, sqrt
from decimal import Decimal
try:
    from typing import *
except Exception:
    pass
try:
    sys.setrecursionlimit(1_000_000)
except Exception:
    pass
try:
    import site as _site
    try:
        _sys_sites = _site.getsitepackages() if hasattr(_site, "getsitepackages") else []
        for _p in _sys_sites:
            if _p and _p not in sys.path:
                sys.path.append(_p)
    except Exception:
        pass
    try:
        _usp = _site.getusersitepackages()
        if isinstance(_usp, str):
            _usp = [_usp]
        for _p in _usp:
            if _p and _p not in sys.path:
                sys.path.append(_p)
    except Exception:
        pass
except Exception:
    pass

ns = {"__name__": "__main__"}
for _k, _v in list(globals().items()):
    if not _k.startswith("_"):
        ns[_k] = _v
_CODE = 'arr = {}\ntemp = input().split(" ")\nn = int(temp[0])\nm = int(temp[1])\nfor i in range(n):\n temp1 = input().split(" ")\n for j in range(m):\n  arr[i ,j] = int(temp1[j])\n\nt = eval(input())\nfor k in range(int(t)):\n temp2 = input().split(" ")\n x1 = int(temp2[0])\n y1 = int(temp2[1])\n x2 = int(temp2[2])\n y2 = int(temp2[3])\n total = 0\n for l in range(x1,x2+1):\n  for m in range(y1,y2+1):\n   total = total + arr[l-1,m-1]\n print(total)\n'
_co = compile(_CODE, USER_FILENAME, "exec")
exec(_co, ns, ns)

```

Measured memory_bytes: 18443