Ī related technique is single-instance (data) storage, which replaces multiple copies of content at the whole-file level with a single shared copy. Given that the same byte pattern may occur dozens, hundreds, or even thousands of times (the match frequency is dependent on the chunk size), the amount of data that must be stored or transferred can be greatly reduced. Whenever a match occurs, the redundant chunk is replaced with a small reference that points to the stored chunk. These chunks are identified and stored during a process of analysis, and compared to other chunks within existing data. The deduplication process requires comparison of data 'chunks' (also known as 'byte patterns') which are unique, contiguous blocks of data. It can also be applied to network data transfers to reduce the number of bytes that must be sent. Successful implementation of the technique can improve storage utilization, which may in turn lower capital expenditure by reducing the overall amount of storage media required to meet storage capacity needs. In computing, data deduplication is a technique for eliminating duplicate copies of repeating data. Than I checked if there is an obstacle in the path by checking if the queens x = obstacles x or queens y = obstacles y and if its on the vertical/horizontal path of the queens I would find the distance by calculating the delta - 1 and to find the diagonal points I know since the points either have to have a 1 or -1 slope to be in the queens path so I checked if |queen's y - obstacle's y| = |queen's x - obstacle's x| and if it is true than I find the delta between either the x or y as either work and if there is no obstacles I would just use the edge to find the distance.Data processing technique to eliminate duplicate copies of repeating data Instead of iterating through every single point in the queens path as that will be resource intensive when n is very high, I went with separating the paths into 8 different directions (up left, up, up right, right, etc). We then print the number of squares she can attack from that position, which is \$9\$. The queen is standing at position \$(4,4)\$ on a \$4\$x \$4\$ chessboard with no obstacles: Print the number of squares that the queen can attack from position. The next line contains two space-separated integers describing the respective values of \$r_q\$ and \$c_q\$, denoting the position of the queen.Įach line \$i\$ of the \$k\$ subsequent lines contains two space-separated integers describing the respective values \$r_i\$ of \$c_i\$ and, denoting the position of obstacle \$i\$.Ī single cell may contain more than one obstacle however, it is guaranteed that there will never be an obstacle at position \$(r_q,c_q)\$ where the queen is located. The first line contains two space-separated integers describing the respective values of \$n\$ (the side length of the board) and \$k\$ (the number of obstacles). Given the queen's position and the locations of all the obstacles, find and print the number of squares the queen can attack from her position at \$(r_q,c_q)\$. For example, an obstacle at location \$(3,5)\$ in the diagram above would prevent the queen from attacking cells \$(3,5)\$, \$(2,6)\$, and \$(1,7)\$: There are \$k\$ obstacles on the chessboard preventing the queen from attacking any square that has an obstacle blocking the the queen's path to it. In the diagram below, the green circles denote all the cells the queen can attack from (4,4): The queen is standing at position (rq,cq) and, in a single move, she can attack any square in any of the eight directions (left, right, up, down, or the four diagonals).
Each square on the board is denoted by a tuple, (r,c), describing the row, r, and column, c, where the square is located. The chessboard's rows are numbered from 1 to n, going from bottom to top its columns are numbered from 1 to n, going from left to right. A queen is standing on an nxn chessboard.
0 kommentar(er)
