human
Minimum operations to convert Binary Matrix A to B by flipping submatrix of size K | Function to count the operations required to convert matrix A to B.
Store the sizes of matrix.
Stores count of flips required.
Traverse the iven matrix.
Check if the matrix values are not equal.
Increment the count of moves.
Check if the current square sized exists or not.
Flip all the bits in this square sized submatrix.
Count of operations required.
Driver Code"
How can the above be solved in Python?

What is a code to minimum operations to convert Binary Matrix A to B by flipping submatrix of size K and the other steps required?
assistant
#Here is code to minimum operations to convert Binary Matrix A to B by flipping submatrix of size K and the other steps required.
 def minMoves ( a , b , K ) :
	n = len ( a )
	m = len ( a [ 0 ] )
	cntOperations = 0
	for i in range ( 0 , n ) :
		for j in range ( 0 , m ) :
			if ( a [ i ] [ j ] != b [ i ] [ j ] ) :
				cntOperations += 1
				if ( i + K - 1 >= n or j + K - 1 >= m ) :
					return - 1
				for p in range ( 0 , K ) :
					for q in range ( 0 , K ) :
						if ( a [ i + p ] [ j + q ] == '0' ) :
							a [ i + p ] [ j + q ] = '1'
						else :
							a [ i + p ] [ j + q ] = '0'
	return cntOperations
if __name__ == " _ _ main _ _ " :
	A = [ [ '1' , '0' , '0' ] , [ '0' , '0' , '0' ] , [ '0' , '0' , '0' ] ]
	B = [ [ '0' , '0' , '0' ] , [ '0' , '0' , '0' ] , [ '0' , '0' , '0' ] ]
	K = 3
	print ( minMoves ( A , B , K ) )