网络流萌新求助

P1343 地震逃生

@[isletfall](/user/429499) `cnt` 应当设置成一个合理的计数,这样我们连续加边的时候可以让正边和反边通过 `^1`($\oplus1$,异或 $1$) 操作相互找到,例如第一个边的下标是 $2$,那么 $2\oplus 1=3$,就是第二个边的下标 $3$,同样 $3\oplus 1=2$,就是第一个边的下标 $2$。
by Terrible @ 2023-12-14 21:29:21


“计数”->“奇数” `cnt` 不是 $1$ 还能拿到 80 pts 啊? ![](data:image/png;base64,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)
by Terrible @ 2023-12-14 21:32:02


`cnt=1` 不是模板的一部分吗
by jr_linys @ 2023-12-14 21:35:18


不是,你考虑一下你 cnt 初始是 0。 那么是不是先后加入编号为 1,和编号为 2 的边。这是一对反向边。 然而 1^1 = 0,2^1 = 3,根本对应不上是反向边,其它边也同理。 然后就爆炸了。
by strcmp @ 2023-12-14 21:37:33


@[wql_cai](/user/551861) 谢谢大佬,理解了
by isletfall @ 2023-12-14 21:39:48


@[Terrible](/user/195942) 理解了,谢谢大佬,应该是数据太弱了多艹过去了几个点。
by isletfall @ 2023-12-14 21:40:43


|