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 "dungeons.h"
#include <bits/stdc++.h>
namespace std {
template<class Fun>
class y_combinator_result {
Fun fun_;
public:
template<class T>
explicit y_combinator_result(T &&fun): fun_(std::forward<T>(fun)) {}
template<class ...Args>
decltype(auto) operator()(Args &&...args) {
return fun_(std::ref(*this), std::forward<Args>(args)...);
}
};
template<class Fun>
decltype(auto) y_combinator(Fun &&fun) {
return y_combinator_result<std::decay_t<Fun>>(std::forward<Fun>(fun));
}
} // namespace std
namespace ecnerwala {
const int64_t INF = 1e18;
struct node_t {
int s, p, w, l;
};
std::vector<node_t> nodes;
struct jump_t {
int dest;
int64_t tot;
int64_t cap;
};
const int LG = 25;
std::array<std::vector<jump_t>, LG> jumps;
};
void init(int N, std::vector<int> S_, std::vector<int> P_, std::vector<int> W_, std::vector<int> L_) {
using namespace ecnerwala;
nodes.resize(N);
for (int i = 0; i < N; i++) {
nodes[i] = {S_[i], P_[i], W_[i], L_[i]};
}
auto merge = [](jump_t a, jump_t b) -> jump_t {
return jump_t{b.dest, a.tot + b.tot, std::min(a.cap, b.cap - a.tot)};
};
auto node_jump = [](int cur, int baseline) -> jump_t {
if (nodes[cur].s <= baseline) {
return jump_t{nodes[cur].w, nodes[cur].s, INF};
} else {
return jump_t{nodes[cur].l, nodes[cur].p, nodes[cur].s};
}
};
for (int l = 0; l < LG; l++) {
auto& jump = jumps[l];
jump.resize(N);
// Funny thing: we can initialize jumps to the 1-edge jump, and then consider them updated when we set jump_len >= 0
for (int i = 0; i < N; i++) {
jump[i] = node_jump(i, 1 << l);
}
std::vector<int> jump_len(N+1, -1); // this is for bookkeeping our skew-binary representation
jump_len[N] = 0;
auto solve = std::y_combinator([&](auto self, int cur) -> void {
if (jump_len[cur] >= 0) return;
if (jump_len[cur] == -2) {
// we're a cycle
jump_len[cur] = 0;
while (jump[cur].dest != cur) {
assert(jump_len[jump[cur].dest] == -2);
jump[cur] = merge(jump[cur], jump[jump[cur].dest]);
}
assert(jump[cur].dest == cur);
return;
}
jump_len[cur] = -2;
int nxt = jump[cur].dest;
self(nxt);
if (jump_len[cur] == 0) {
// we're a cycle we found later
return;
}
if (jump_len[nxt] > 0 && jump_len[jump[nxt].dest] == jump_len[nxt]) {
jump_len[cur] = 1 + 2 * jump_len[nxt];
jump[cur] = merge(jump[cur], jump[jump[cur].dest]);
jump[cur] = merge(jump[cur], jump[jump[cur].dest]);
} else {
jump_len[cur] = 1;
// no-op
}
assert(jump_len[cur] > 0);
});
for (int i = 0; i < N; i++) {
solve(i);
}
}
}
long long simulate(int X, int Z_) {
using namespace ecnerwala;
int64_t Z = Z_;
while (X != int(nodes.size())) {
assert(Z >= 1);
int k = std::min<int>(LG-1, 8 * sizeof(Z) - 1 - __builtin_clzll(Z));
jump_t j = jumps[k][X];
if (Z < j.cap) {
if (j.dest == X) {
// let's go for as many cycles as necessary
Z += (j.cap - 1 - Z) / j.tot * j.tot;
}
Z += j.tot;
X = j.dest;
} else {
// just walk forwards by 1
node_t n = nodes[X];
if (Z >= n.s) {
Z += n.s;
X = n.w;
} else {
Z += n.p;
X = n.l;
}
}
}
return Z;
}
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