
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.
Given two sentences
words1, words2
(each represented as an array of strings), and a list of similar word pairspairs
, determine if two sentences are similar.For example, "great acting skills" and "fine drama talent" are similar, if the similar word pairs are
pairs = [["great", "fine"], ["acting","drama"], ["skills","talent"]]
.Note that the similarity relation is not transitive. For example, if "great" and "fine" are similar, and "fine" and "good" are similar, "great" and "good" are not necessarily similar.
However, similarity is symmetric. For example, "great" and "fine" being similar is the same as "fine" and "great" being similar.
Also, a word is always similar with itself. For example, the sentences
words1 = ["great"], words2 = ["great"], pairs = []
are similar, even though there are no specified similar word pairs.Finally, sentences can only be similar if they have the same number of words. So a sentence like
words1 = ["great"]
can never be similar towords2 = ["doubleplus","good"]
.Note:
words1
andwords2
will not exceed1000
.pairs
will not exceed2000
.pairs[i]
will be2
.words[i]
andpairs[i][j]
will be in the range[1, 20]
.这道题给了我们两个句子,问这两个句子是否是相似的。判定的条件是两个句子的单词数要相同,而且每两个对应的单词要是相似度,这里会给一些相似的单词对,这里说明了单词对的相似具有互逆性但是没有传递性。看到这里博主似乎已经看到了Follow up了,加上传递性就是一个很好的拓展。那么这里没有传递性,就使得问题变得很容易了,我们只要建立一个单词和其所有相似单词的集合的映射就可以了,比如说如果great和fine类似,且great和good类似,那么就有下面这个映射:
great -> {fine, good}
所以我们在逐个检验两个句子中对应的单词时就可以直接去映射中找,注意有可能遇到的单词对时反过来的,比如fine和great,所以我们两个单词都要带到映射中去查找,只要有一个能查找到,就说明是相似的,反之,如果两个都没查找到,说明不相似,直接返回false,参见代码如下:
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