
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.
In a N x N
grid
composed of 1 x 1 squares, each 1 x 1 square consists of a/
,\
, or blank space. These characters divide the square into contiguous regions.(Note that backslash characters are escaped, so a
\
is represented as"\\"
.)Return the number of regions.
Example 1:
Example 2:
Example 3:
Example 4:
Example 5:
Note:
1 <= grid.length == grid[0].length <= 30
grid[i][j]
is either'/'
,'\'
, or' '
.这道题说是有个 NxN 个小方块,每个小方块里可能是斜杠,反斜杠,或者是空格。然后问这些斜杠能将整个区域划分成多少个小区域。这的确是一道很有意思的题目,虽然只是 Medium 的难度,但是博主拿到题目的时候是懵逼的,这尼玛怎么做?无奈只好去论坛上看大神们的解法,结果发现大神们果然牛b,巧妙的将这道题转化为了岛屿个数问题 Number of Islands,具体的做法将每个小区间化为九个小格子,这样斜杠或者反斜杠就是对角线或者逆对角线了,是不是有点图像像素化的感觉,就是当你把某个图片尽可能的放大后,到最后你看到也就是一个个不同颜色的小格子组成了这幅图片。这样只要把斜杠的位置都标记为1,而空白的位置都标记为0,这样只要找出分隔开的0的群组的个数就可以了,就是岛屿个数的问题啦。使用一个 DFS 来遍历即可,这个并不难,这道题难就难在需要想出来这种像素化得转化,确实需要灵光一现啊,参见代码如下:
类似题目:
Number of Islands
Github 同步地址:
#959
参考资料:
https://leetcode.com/problems/regions-cut-by-slashes/
https://leetcode.com/problems/regions-cut-by-slashes/discuss/205674/C%2B%2B-with-picture-DFS-on-upscaled-grid
https://leetcode.com/problems/regions-cut-by-slashes/discuss/205680/JavaC%2B%2BPython-Split-4-parts-and-Union-Find
LeetCode All in One 题目讲解汇总(持续更新中...)
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