
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 the "100 game," two players take turns adding, to a running total, any integer from 1..10. The player who first causes the running total to reach or exceed 100 wins.
What if we change the game so that players cannot re-use integers?
For example, two players might take turns drawing from a common pool of numbers of 1..15 without replacement until they reach a total >= 100.
Given an integer
maxChoosableIntegerand another integerdesiredTotal, determine if the first player to move can force a win, assuming both players play optimally.You can always assume that
maxChoosableIntegerwill not be larger than 20 anddesiredTotalwill not be larger than 300.Example
这道题给了我们一堆数字,然后两个人,每人每次选一个数字,看数字总数谁先到给定值,有点像之前那道 Nim Game,但是比那题难度大。我刚开始想肯定说用递归啊,结果写完发现 TLE 了,后来发现我们必须要优化效率,使用 HashMap 来记录已经计算过的结果。我们首先来看如果给定的数字范围大于等于目标值的话,直接返回 true。如果给定的数字总和小于目标值的话,说明谁也没法赢,返回 false。然后我们进入递归函数,首先我们查找当前情况是否在 HashMap 中存在,有的话直接返回即可。我们使用一个整型数按位来记录数组中的某个数字是否使用过,我们遍历所有数字,将该数字对应的 mask 算出来,如果其和 used 相与为0的话,说明该数字没有使用过,我们看如果此时的目标值小于等于当前数字,说明已经赢了,或者调用递归函数,如果返回 false,说明也是第一个人赢了。为啥呢,因为当前已经选过数字了,此时就该对第二个人调用递归函数,只有返回的结果是 false,我们才能赢,所以此时我们 true,并返回 true。如果遍历完所有数字,标记 false,并返回 false,参见代码如下:
Github 同步地址:
#464
类似题目:
Nim Game
Flip Game II
Guess Number Higher or Lower II
Predict the Winner
参考资料:
https://leetcode.com/problems/can-i-win/
https://leetcode.com/problems/can-i-win/discuss/95283/brute-force-and-memoization
https://leetcode.com/problems/can-i-win/discuss/95277/Java-solution-using-HashMap-with-detailed-explanation
LeetCode All in One 题目讲解汇总(持续更新中...)
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