如果我们先手拿完所有苹果再去考虑花费的话。
S -> 摄像头 -> 苹果 -> T
就相当于找到一个最小割使得S和T分开。
ans = sum - flow。
然后对于这一个模型, 我们可以不用网络流去解决。
我们从叶子出发,然后从下往上合并。
每次到一个节点的时候,我们先把摄像机所对应的影响去除。
然后把这个点的剩下流量传给父亲。
代码:
#include<bits/stdc++.h>
using namespace std;
#define Fopen freopen("_in.txt","r",stdin); freopen("_out.txt","w",stdout);
#define LL long long
#define ULL unsigned LL
#define fi first
#define se second
#define pb push_back
#define lson l,m,rt<<1
#define rson m+1,r,rt<<1|1
#define lch(x) tr[x].son[0]
#define rch(x) tr[x].son[1]
#define max3(a,b,c) max(a,max(b,c))
#define min3(a,b,c) min(a,min(b,c))
typedef pair<int,int> pll;
const int inf = 0x3f3f3f3f;
const int _inf = 0xc0c0c0c0;
const LL INF = 0x3f3f3f3f3f3f3f3f;
const LL _INF = 0xc0c0c0c0c0c0c0c0;
const LL mod = (int)1e9+;
const int N = 3e5 +;
//vector<int> vc[N];
vector<pll> camera[N];
map<int, LL> mp[N];
map<int, LL>::iterator it;
int deep[N];
int a[N], f[N];
LL sum;
void Merge(map<int, LL> & m1, map<int, LL> & m2){
if(m1.size() < m2.size()){
m1.swap(m2);
}
for(auto & it : m2){
m1[it.fi] += it.se;
}
}
map<int,int> mp1, mp2;
int main(){
int T, n, m;
scanf("%d", &T);
deep[] = ;
while(T--){
scanf("%d%d", &n, &m);
for(int i = ; i <= n; ++i) mp[i].clear(), camera[i].clear();
for(int i = ; i <= n; ++i){
scanf("%d", &f[i]);
deep[i] = deep[f[i]] + ;
}
sum = ;
for(int i = ; i <= n; ++i){
scanf("%d", &a[i]);
sum += a[i];
}
for(int i = , x, k, c; i <= m; ++i){
scanf("%d%d%d", &x, &k, &c);
camera[x].pb({k, c});
}
for(int i = n; i >= ; --i){
mp[i][-deep[i]] += a[i];
for(auto & t : camera[i]){
it = mp[i].lower_bound(-(deep[i]+t.fi));
while(it != mp[i].end()){
if(t.se < (it->se)){
sum -= t.se;
it -> se -= t.se;
t.se = ;
break;
}
else {
sum -= it->se;
t.se -= it->se;
it = mp[i].erase(it);
}
}
}
if(f[i]) Merge(mp[f[i]], mp[i]);
}
printf("%lld\n", sum);
}
return ;
}