In Chile, land are partitioned into a one large grid, where each element represents a land of size 1x1.
Shaka is a newcomer in Chile and is trying to start his own business. He is planning to build a store. He has his own ideas for the "perfect store" which can be represented by a HxW grid. Element at position (i, j) represents height of land at index (i, j) in the grid.
Shaka has purchased a land area which can be represented RxC grid (H <= R, W <= C). Shaka is interested in finding best HxW sub-grid in the acquired land. In order to compare the possible sub-grids, Shaka will be using the sum of squared difference between each cell of his "perfect store" and it's corresponding cell in the subgrid. Amongst all possible sub-grids, he will choose the one with smallest such sum.
The grids are 1-indexed and rows increase from top to bottom and columns increase from left to right.
If x is the height of a cell in the "perfect store" and y is the height of the corresponding cell in a sub-grid of the acquired land, then the squared difference is defined as (x-y)2
The first line of the input consists of two integers, R C, separated by single space.
Then R lines follow, each one containing C space separated integers, which describe the height of each land spot of the purchased land.
The next line contains two integers, H W, separated by a single space, followed by H lines with W space separated integers, which describes the "perfect store".
1 <= R, C <= 500
1 <= H <= R
1 <= W <= C
No height will have an absolute value greater than 20.
In the first line, output the smallest possible sum (as defined above) Shaka can find on exploring all the sub-grids (of size HxW) in the purchased land.
In second line, output two space separated integers, i j, which represents the index of top left corner of sub-grid (on the acquired land) with the minimal such sum. If there are multiple sub-grids with minimal sum, output the one with the smaller row index. If there are still multiple sub-grids with minimal sum, output the one with smaller column index.