
Formed in 2009, the Archive Team (not to be confused with the archive.org Archive-It Team) is a rogue archivist collective dedicated to saving copies of rapidly dying or deleted websites for the sake of history and digital heritage. The group is 100% composed of volunteers and interested parties, and has expanded into a large amount of related projects for saving online and digital history.
History is littered with hundreds of conflicts over the future of a community, group, location or business that were "resolved" when one of the parties stepped ahead and destroyed what was there. With the original point of contention destroyed, the debates would fall to the wayside. Archive Team believes that by duplicated condemned data, the conversation and debate can continue, as well as the richness and insight gained by keeping the materials. Our projects have ranged in size from a single volunteer downloading the data to a small-but-critical site, to over 100 volunteers stepping forward to acquire terabytes of user-created data to save for future generations.
The main site for Archive Team is at archiveteam.org and contains up to the date information on various projects, manifestos, plans and walkthroughs.
This collection contains the output of many Archive Team projects, both ongoing and completed. Thanks to the generous providing of disk space by the Internet Archive, multi-terabyte datasets can be made available, as well as in use by the Wayback Machine, providing a path back to lost websites and work.
Our collection has grown to the point of having sub-collections for the type of data we acquire. If you are seeking to browse the contents of these collections, the Wayback Machine is the best first stop. Otherwise, you are free to dig into the stacks to see what you may find.
The Archive Team Panic Downloads are full pulldowns of currently extant websites, meant to serve as emergency backups for needed sites that are in danger of closing, or which will be missed dearly if suddenly lost due to hard drive crashes or server failures.
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):
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:
Follow up:
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:
Github 同步地址:
#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
LeetCode All in One 题目讲解汇总(持续更新中...)
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