This submission is migrated from previous version of oj.uz, which used different machine for grading. This submission may have different result if resubmitted.
#include "fish.h"
#include <bits/stdc++.h>
using namespace std;
long long max_weights(int n, int m, vector<int> x, vector<int> y, vector<int> w) {
vector<vector<int>> a(n + 1);
vector<vector<array<int, 2>>> b(n + 1);
vector<vector<array<long long, 2>>> dp[2];
dp[0].resize(n + 1);
dp[1].resize(n + 1);
for (int i = 0; i < m; ++i) {
b[x[i]].push_back({y[i], w[i]});
if (0 <= x[i] - 1) {
a[x[i] - 1].push_back(y[i]);
}
if (x[i] + 1 < n) {
a[x[i] + 1].push_back(y[i]);
}
}
for (int i = 0; i <= n; ++i) {
a[i].push_back(-1);
sort(a[i].begin(), a[i].end());
sort(b[i].begin(), b[i].end());
a[i].resize(unique(a[i].begin(), a[i].end()) - a[i].begin());
}
for (int i = 0; i <= n; ++i) {
for (auto pos : a[i]) {
dp[0][i].push_back({pos, 0});
dp[1][i].push_back({pos, 0});
}
if (i == 0) {
continue;
}
long long sumW;
long long best;
int ptrW, ptrDp;
vector<array<int, 2>> weights;
auto pre = dp[0][i - 1];
// 0
weights = b[i - 1];
sumW = 0;
ptrW = 0;
for (auto &[h, val]: pre) {
while (ptrW < (int)weights.size() && h >= weights[ptrW][0]) {
sumW += weights[ptrW][1];
++ptrW;
}
val -= sumW;
}
sumW = 0;
ptrW = 0;
ptrDp = 0;
best = -1e18;
for (auto &[h, val]: dp[0][i]) {
while (ptrW < (int)weights.size() && h >= weights[ptrW][0]) {
sumW += weights[ptrW][1];
++ptrW;
}
while (ptrDp < (int)pre.size() && h >= pre[ptrDp][0]) {
best = max(best, pre[ptrDp][1]);
++ptrDp;
}
val = sumW + best;
}
// 1
weights = b[i];
sumW = 0;
ptrW = 0;
pre = dp[1][i - 1];
for (auto &[h, val]: pre) {
while (ptrW < (int)weights.size() && h >= weights[ptrW][0]) {
sumW += weights[ptrW][1];
++ptrW;
}
val += sumW;
}
ptrW = (int)weights.size() - 1;
ptrDp = (int)pre.size() - 1;
best = -1e18;
sumW = 0;
for (auto [h, w] : weights) {
sumW += w;
}
for (int j = (int)dp[1][i].size() - 1; j >= 0; --j) {
auto &[h, val] = dp[1][i][j];
while (ptrW >= 0 && h < weights[ptrW][0]) {
sumW -= weights[ptrW][1];
--ptrW;
}
while (ptrDp >= 0 && h <= pre[ptrDp][0]) {
best = max(best, pre[ptrDp][1]);
--ptrDp;
}
val = best - sumW;
}
// 1->0
for (int j = 0; j < (int) dp[0][i].size(); ++j) {
dp[0][i][j][1] = max(dp[0][i][j][1], dp[1][i - 1][0][1]);
}
// 0->1
for (int j = 0; j < (int) dp[0][i].size(); ++j) {
dp[1][i][j][1] = max(dp[1][i][j][1], dp[0][i][j][1]);
}
}
return dp[1][n][0][1];
}
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