Description
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" 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Output
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Data Constraint
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alt=" " />
Hint
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" alt=" " />
显然有个O(n2)的暴力枚举,不过会超时。(但也有六十分呐)
时间主要花在了一个一个判断,我们设想能否一次性判断很多个。
两个数异或后有二进制中有两个一,就是说两个数二进制下有两位是不同的,即有ai xor 2k xor bj xor 2l=0(k!=l);
那么我们可以考虑枚举ai xor 2k,丢到hash表里,然后再枚举每个bj xor 2l,在hash里找是否有相等的。
为避免重复(ai xor 2k bj xor 2l 与 ai xor 2l bj xor 2k是相等的),我们可以令k<l。
#include<iostream>
#include<cstdio>
#include<cstring>
#include<cstdlib>
#include<algorithm>
#include<cmath>
#define mo 9999999
#define N 100005
int n,hash[mo],m,a[N],b[N],g[mo],qwq[];
long long ans;
void init(int x){
int a=x%mo;
while ((hash[a]!=)&&(hash[a]!=x)) a=(a+)%mo;
hash[a]=x;
g[a]++;
}
int get(int x){
int a=x%mo;
while ((hash[a]!=)&&(hash[a]!=x)) a=(a+)%mo;
return g[a];
}
int main(){
scanf("%d%d",&n,&m);
for (int i=;i<=n;i++)
scanf("%d",&a[i]);
for (int j=;j<=m;j++)
scanf("%d",&b[j]);
qwq[]=;
for (int i=;i<=;i++)
qwq[i]=*qwq[i-];
for (int i=;i<=n;i++)
init(a[i]^qwq[]);
ans=;
for (int i=;i<;i++){
for (int j=;j<=m;j++)
ans+=get(b[j]^qwq[i]);
for (int j=;j<=n;j++)
init(a[j]^qwq[i]);
}
printf("%lld\n",ans);
}
神奇的代码
- JZOJ.5257【NOIP2017模拟8.11】小X的佛光
Description
- 常州模拟赛d8t1 友好数对
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