dp with dimensions (m+1) x (1<<n) filled with -1, where m is the number of rows and n is the number of columns in the seats matrix.dp[0][0] to 0 as the base case.i from 1 to m.mask states (from 0 to (1<<n) - 1).mask is a subset of the valid seats in the current row and there are no adjacent students, proceed to the next step. Otherwise, continue to the next mask.mask, iterate over all possible previous row states prev_mask.prev_mask is valid and there are no students in the upper left or upper right positions that can lead to cheating, update dp[i][mask].dp array.