
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.
You are given an n x n 2D matrix representing an image.
Rotate the image by 90 degrees (clockwise).
Note:
You have to rotate the image in-place, which means you have to modify the input 2D matrix directly. DO NOT allocate another 2D matrix and do the rotation.
Example 1:
Example 2:
在计算机图像处理里,旋转图片是很常见的,由于图片的本质是二维数组,所以也就变成了对数组的操作处理,翻转的本质就是某个位置上数移动到另一个位置上,比如用一个简单的例子来分析:
对于90度的翻转有很多方法,一步或多步都可以解,先来看一种直接的方法,这种方法是按顺时针的顺序去覆盖前面的数字,从四个顶角开始,然后往中间去遍历,每次覆盖的坐标都是同理,如下:
(i, j) <- (n-1-j, i) <- (n-1-i, n-1-j) <- (j, n-1-i)
这其实是个循环的过程,第一个位置又覆盖了第四个位置,这里i的取值范围是 [0, n/2),j的取值范围是 [i, n-1-i),至于为什么i和j是这个取值范围,为啥i不用遍历 [n/2, n),若仔细观察这些位置之间的联系,不难发现,实际上j列的范围 [i, n-1-i) 顺时针翻转 90 度,正好就是i行的 [n/2, n) 的位置,这个方法每次循环换四个数字,如下所示:
解法一:
还有一种解法,首先以从对角线为轴翻转,然后再以x轴中线上下翻转即可得到结果,如下图所示(其中蓝色数字表示翻转轴):
解法二:
最后再来看一种方法,这种方法首先对原数组取其转置矩阵,然后把每行的数字翻转可得到结果,如下所示(其中蓝色数字表示翻转轴,Github 上可能无法显示颜色,请参见博客园上的帖子):
解法三:
Github 同步地址:
#48
参考资料:
https://leetcode.com/problems/rotate-image/
https://leetcode.com/problems/rotate-image/discuss/18895/Clear-Java-solution
https://leetcode.com/problems/rotate-image/discuss/18872/A-common-method-to-rotate-the-image
LeetCode All in One 题目讲解汇总(持续更新中...)
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