[LeetCode] 289. Game of Life 生命游戏

According to the Wikipedia's article: "The Game of Life, also known simply as Life, is a cellular automaton devised by the British mathematician John Horton Conway in 1970."

Given a board with m by n cells, each cell has an initial state live (1) or dead (0). Each cell interacts with its eight neighbors (horizontal, vertical, diagonal) using the following four rules (taken from the above Wikipedia article):

1. Any live cell with fewer than two live neighbors dies, as if caused by under-population.
2. Any live cell with two or three live neighbors lives on to the next generation.
3. Any live cell with more than three live neighbors dies, as if by over-population..
4. Any dead cell with exactly three live neighbors becomes a live cell, as if by reproduction.

Write a function to compute the next state (after one update) of the board given its current state. The next state is created by applying the above rules simultaneously to every cell in the current state, where births and deaths occur simultaneously.

Example:

Input:
[
  [0,1,0],
  [0,0,1],
  [1,1,1],
  [0,0,0]
]
Output:
[
  [0,0,0],
  [1,0,1],
  [0,1,1],
  [0,1,0]
]

Follow up:

1. Could you solve it in-place? Remember that the board needs to be updated at the same time: You cannot update some cells first and then use their updated values to update other cells.
2. In this question, we represent the board using a 2D array. In principle, the board is infinite, which would cause problems when the active area encroaches the border of the array. How would you address these problems?

Credits:
Special thanks to @jianchao.li.fighter for adding this problem and creating all test cases.

这道题是有名的 康威生命游戏, 而我又是第一次听说这个东东，这是一种细胞自动机，每一个位置有两种状态，1为活细胞，0为死细胞，对于每个位置都满足如下的条件：

1. 如果活细胞周围八个位置的活细胞数少于两个，则该位置活细胞死亡

2. 如果活细胞周围八个位置有两个或三个活细胞，则该位置活细胞仍然存活

3. 如果活细胞周围八个位置有超过三个活细胞，则该位置活细胞死亡

4. 如果死细胞周围正好有三个活细胞，则该位置死细胞复活

由于题目中要求用置换方法 in-place 来解题，所以就不能新建一个相同大小的数组，那么只能更新原有数组，题目中要求所有的位置必须被同时更新，但在循环程序中还是一个位置一个位置更新的，当一个位置更新了，这个位置成为其他位置的 neighbor 时，怎么知道其未更新的状态呢？可以使用状态机转换：

状态0： 死细胞转为死细胞

状态1： 活细胞转为活细胞

状态2： 活细胞转为死细胞

状态3： 死细胞转为活细胞

最后对所有状态对2取余，则状态0和2就变成死细胞，状态1和3就是活细胞，达成目的。先对原数组进行逐个扫描，对于每一个位置，扫描其周围八个位置，如果遇到状态1或2，就计数器累加1，扫完8个邻居，如果少于两个活细胞或者大于三个活细胞，而且当前位置是活细胞的话，标记状态2，如果正好有三个活细胞且当前是死细胞的话，标记状态3。完成一遍扫描后再对数据扫描一遍，对2取余变成我们想要的结果。参见代码如下：

class Solution {
public:
    void gameOfLife(vector<vector<int> >& board) {
        int m = board.size(), n = m ? board[].size() : ;
        vector<int> dx{-, -, -, , , , , };
        vector<int> dy{-, , , , , , -, -};
        for (int i = ; i < m; ++i) {
            for (int j = ; j < n; ++j) {
                int cnt = ;
                for (int k = ; k < ; ++k) {
                    int x = i + dx[k], y = j + dy[k];
                    if (x >=  && x < m && y >=  && y < n && (board[x][y] ==  || board[x][y] == )) {
                        ++cnt;
                    }
                }
                if (board[i][j] && (cnt <  || cnt > )) board[i][j] = ;
                else if (!board[i][j] && cnt == ) board[i][j] = ;
            }
        }
        for (int i = ; i < m; ++i) {
            for (int j = ; j < n; ++j) {
                board[i][j] %= ;
            }
        }
    }
};

Github 同步地址：

https://github.com/grandyang/leetcode/issues/289

类似题目：

Set Matrix Zeroes

参考资料：

https://leetcode.com/problems/game-of-life/

https://leetcode.com/problems/game-of-life/discuss/73217/Infinite-board-solution

https://leetcode.com/problems/game-of-life/discuss/73230/C%2B%2B-O(1)-space-O(mn)-time

https://leetcode.com/problems/game-of-life/discuss/73223/Easiest-JAVA-solution-with-explanation

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