output_description: Print `Yes` if the template image B is contained in the image A. Print `No`
  otherwise.
  
  * * *
input_description: 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
attempt: N,M=map(int, input().split())
  A=[input() for _ in range(N)]
  B=[input() for _ in range(M)]
  
  for i in range(N):
      if B[0] in A[i]:
          if all(B[j] in A[i+j] for j in range(1,min(M,N-i)):
              print('Yes')
              exit(0)
  print('No')
  
problem_description: 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.
samples: [{"input": "3 2\n    #.#\n    .#.\n    #.#\n    #.\n    .#", "output": "Yes\n    \n\nThe template image B is identical to the upper-left 2 \u00d7 2 subimage and the\nlower-right 2 \u00d7 2 subimage of A. Thus, the output should be `Yes`.\n\n* * *"}, {"input": "4 1\n    ....\n    ....\n    ....\n    ....\n    #", "output": "No\n    \n\nThe template image B, composed of a black pixel, is not contained in the image\nA composed of white pixels."}]