이 제출은 이전 버전의 oj.uz에서 채점하였습니다. 현재는 제출 당시와는 다른 서버에서 채점을 하기 때문에, 다시 제출하면 결과가 달라질 수도 있습니다.
#include "dungeons.h"
#include <algorithm>
#include <bitset>
#include <cstdint>
#include <cstring>
#include <iostream>
#include <limits.h>
#include <math.h>
#include <map>
#include <numeric>
#include <queue>
#include <set>
#include <stack>
#include <string>
#include <vector>
//#define int long long
#define ll long long
#define loop(X, N) for(int X = 0; X < (N); X++)
#define all(V) V.begin(), V.end()
#define rall(V) V.rbegin(), V.rend()
using namespace std;
typedef vector<int> vi;
typedef vector<vi> vvi;
typedef pair<int, int> ii;
typedef vector<ii> vii;
typedef vector<vector<ii>> vvii;
typedef vector<bool> vb;
typedef vector<vector<bool>> vvb;
typedef uint64_t u64;
typedef int64_t i64;
int n;
constexpr int POW = 24;
vi liftLoss[POW], liftWin[POW];
vector<pair<ll, ll>> maxLossValues[POW], minWinValues[POW];
vector<ll> s, p;
vi w, l;
vector<pair<ll, ll>> minToEscape;
void init(int _n, std::vector<int> _s, std::vector<int> _p, std::vector<int> _w, std::vector<int> _l) {
n = _n;
w = _w;
l = _l;
w.push_back(n);
l.push_back(n);
//set<ll> strengths;
for (int x : _s) {
s.push_back(x);
//strengths.insert(x);
}
for (int x : _p) p.push_back(x);
s.push_back(0);
p.push_back(0);
minToEscape = vector<pair<ll, ll>>(n + 1);
for (int i = n - 1; i >= 0; i--) {
auto [nextMin, nextGain] = minToEscape[w[i]];
if (s[i] * 2 >= nextMin) {
minToEscape[i].first = s[i];
}
else {
minToEscape[i].first = nextMin - s[i];
}
minToEscape[i].second = nextGain + s[i];
}
maxLossValues[0] = vector<pair<ll, ll>>(n + 1);
minWinValues[0] = vector<pair<ll, ll>>(n + 1);
liftLoss[0] = vi(n + 1);
liftWin[0] = vi(n + 1);
loop(i, n + 1) {
liftLoss[0][i] = l[i];
maxLossValues[0][i] = { p[i], s[i] };
liftWin[0][i] = w[i];
minWinValues[0][i] = { s[i], s[i] };
}
for (int pow = 1; pow < POW; pow++) {
maxLossValues[pow] = vector<pair<ll, ll>>(n + 1);
minWinValues[pow] = vector<pair<ll, ll>>(n + 1);
liftLoss[pow] = vi(n + 1);
liftWin[pow] = vi(n + 1);
loop(i, n + 1) {
{
auto [gain, maxValue] = maxLossValues[pow - 1][i];
int next = liftLoss[pow - 1][i];
liftLoss[pow][i] = liftLoss[pow - 1][next];
auto [nextGain, nextMaxValue] = maxLossValues[pow - 1][next];
maxLossValues[pow][i].first = gain + nextGain;
maxLossValues[pow][i].second = min(maxValue, nextMaxValue - gain);
}
{
auto [gain, minValue] = minWinValues[pow - 1][i];
int next = liftWin[pow - 1][i];
liftWin[pow][i] = liftWin[pow - 1][next];
auto [nextGain, nextMinValue] = minWinValues[pow - 1][next];
minWinValues[pow][i].first = gain + nextGain;
minWinValues[pow][i].second = max(minValue, nextMinValue - gain);
}
}
}
return;
}
long long simulate(int x, int _z) {
ll z = _z;
while (x != n) {
for (int pow = POW - 1; pow >= 0; pow--) {
if (z < maxLossValues[pow][x].second) {
z += maxLossValues[pow][x].first;
x = liftLoss[pow][x];
}
}
for (int pow = POW - 1; pow >= 0; pow--) {
if (z >= minWinValues[pow][x].second) {
z += minWinValues[pow][x].first;
x = liftWin[pow][x];
}
}
if (x == n) break;
if (z >= minToEscape[x].first) {
z += minToEscape[x].second;
x = n;
break;
}
//z += s[x];
//x = w[x];
}
// while (x != n) {
// if (z >= minToEscape[x].first) {
// z += minToEscape[x].second;
// x = n;
// break;
// }
// if (z >= s[x]) {
// z += s[x];
// x = w[x];
// }
// else {
// z += p[x];
// x = l[x];
// }
// }
return z;
}
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