• LeetCode-Shortest Distance from All Buildings


    You want to build a house on an empty land which reaches all buildings in the shortest amount of distance. You can only move up, down, left and right. You are given a 2D grid of values 0, 1 or 2, where:

    • Each 0 marks an empty land which you can pass by freely.
    • Each 1 marks a building which you cannot pass through.
    • Each 2 marks an obstacle which you cannot pass through.

    For example, given three buildings at (0,0), (0,4), (2,2), and an obstacle at (0,2):

    1 - 0 - 2 - 0 - 1
    |   |   |   |   |
    0 - 0 - 0 - 0 - 0
    |   |   |   |   |
    0 - 0 - 1 - 0 - 0

    The point (1,2) is an ideal empty land to build a house, as the total travel distance of 3+3+1=7 is minimal. So return 7.

    Note:
    There will be at least one building. If it is not possible to build such house according to the above rules, return -1.

    Analysis:

    Simply BFS on every building point.

    Solution:

     1 public class Solution {
     2     public void addPointToQueue(int[][] grid, int[][] sum, int[][] dis, boolean[][] visited, int curDis,
     3             int nextX, int nextY, Queue<Point> q) {
     4         int row = sum.length;
     5         int col = sum[0].length;
     6         if (nextX < 0 || nextX >= row || nextY < 0 || nextY >= col || visited[nextX][nextY] || grid[nextX][nextY] > 0) {
     7             return;
     8         }
     9 
    10         visited[nextX][nextY] = true;
    11         dis[nextX][nextY] = curDis + 1;
    12         q.add(new Point(nextX, nextY));
    13 
    14         sum[nextX][nextY] += curDis + 1;
    15     }
    16 
    17     public void BuildingUpdate(int[][] grid, int[][] sum, boolean[][] allReachable, Point start) {
    18         int row = grid.length;
    19         int col = grid[0].length;
    20         int[][] dis = new int[row][col];
    21         boolean[][] visited = new boolean[row][col];
    22 
    23         Queue<Point> q = new LinkedList<Point>();
    24         q.add(start);
    25         while (!q.isEmpty()) {
    26             Point cur = q.poll();
    27             int d = dis[cur.x][cur.y];
    28 
    29             addPointToQueue(grid, sum, dis, visited, d, cur.x - 1, cur.y, q);
    30             addPointToQueue(grid, sum, dis, visited, d, cur.x + 1, cur.y, q);
    31             addPointToQueue(grid, sum, dis, visited, d, cur.x, cur.y - 1, q);
    32             addPointToQueue(grid, sum, dis, visited, d, cur.x, cur.y + 1, q);
    33         }
    34 
    35         // Check reachability
    36         for (int i = 0; i < row; i++)
    37             for (int j = 0; j < col; j++)
    38                 if (!visited[i][j]) {
    39                     allReachable[i][j] = false;
    40                 }
    41     }
    42 
    43     public int shortestDistance(int[][] grid) {
    44         if (grid.length == 0 || grid[0].length == 0)
    45             return -1;
    46 
    47         int row = grid.length;
    48         int col = grid[0].length;
    49         int[][] sum = new int[row][col];
    50         boolean[][] allReachable = new boolean[row][col];
    51         for (int i = 0; i < row; i++) {
    52             Arrays.fill(allReachable[i], true);
    53         }
    54 
    55         for (int i = 0; i < row; i++)
    56             for (int j = 0; j < col; j++)
    57                 if (grid[i][j] == 1) {
    58                     BuildingUpdate(grid, sum, allReachable, new Point(i, j));
    59                 }
    60 
    61         int res = Integer.MAX_VALUE;
    62         for (int i = 0; i < row; i++)
    63             for (int j = 0; j < col; j++)
    64                 if (allReachable[i][j]) {
    65                     res = Math.min(res, sum[i][j]);
    66                 }
    67 
    68         if (res == Integer.MAX_VALUE)
    69             return -1;
    70         return res;
    71     }
    72 }

    Note: the code can be shorter, just I like this which makes the code clear and organized.

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  • 原文地址:https://www.cnblogs.com/lishiblog/p/5691466.html
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