Problem:
Score : 200 points

Problem Statement

You are given an image A composed of N rows and N columns of pixels, and a template image B composed of M rows and M columns of pixels.

A pixel is the smallest element of an image, and in this problem it is a square of size 1×1.

Also, the given images are binary images, and the color of each pixel is either white or black.

In the input, every pixel is represented by a character: . corresponds to a white pixel, and # corresponds to a black pixel.

The image A is given as N strings A_1,...,A_N.

The j-th character in the string A_i corresponds to the pixel at the i-th row and j-th column of the image A (1≦i,j≦N).

Similarly, the template image B is given as M strings B_1,...,B_M.

The j-th character in the string B_i corresponds to the pixel at the i-th row and j-th column of the template image B (1≦i,j≦M).

Determine whether the template image B is contained in the image A when only parallel shifts can be applied to the images.

Constraints

1≦M≦N≦50

A_i is a string of length N consisting of # and ..

B_i is a string of length M consisting of # and ..

Input

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

N M
A_1
A_2
:
A_N
B_1
B_2
:
B_M

Output

Print Yes if the template image B is contained in the image A. Print No otherwise.

Sample Input 1

3 2
#.#
.#.
#.#
#.
.#

Sample Output 1

Yes

The template image B is identical to the upper-left 2 × 2 subimage and the lower-right 2 × 2 subimage of A. Thus, the output should be Yes.

Sample Input 2

4 1
....
....
....
....
#

Sample Output 2

No

The template image B, composed of a black pixel, is not contained in the image A composed of white pixels.

Solution in Python (2.7.6) (judge verdict: Wrong Answer)

# -*- coding:utf8

N,M = [int(x) for x in raw_input().split(' ')]

A = [raw_input() for x in range(N)]
B = [raw_input() for x in range(M)]

def getpattern(image, s = 0, x = 0, y = 0):
    if s == 0:
        s = len(image)

    return ''.join([image[i][x:x+s] for i in range(y, y + s)])

def match(N,M,A,B):
    size = len(B)

    bpattern = getpattern(B)
    for j in range(0, N - len(B)):
        for i in range(0, N - len(B)):
            if getpattern(A, size, i, j) == bpattern:
                return 'Yes'

    return 'No'

print match(N,M,A,B)