Submission #1259339

#TimeUsernameProblemLanguageResultExecution timeMemory
1259339ducthanh2306Festival (IOI25_festival)C++20
51 / 100
78 ms12532 KiB
#include <iostream> #include <vector> #include <numeric> #include <algorithm> #include <functional> // Define a struct to hold coupon information along with its original index. struct Coupon { int id; long long p; // price int t; // type }; // Comparison function for sorting multiplier coupons (T > 1). // Sorts by P*T/(T-1) asc. using 128-bit cross-multiplication to avoid precision errors. bool compareMultipliers(const Coupon& a, const Coupon& b) { return static_cast<unsigned __int128>(a.p) * a.t * (b.t - 1) < static_cast<unsigned __int128>(b.p) * b.t * (a.t - 1); } // Comparison function for sorting spender coupons (T = 1) by price. bool compareT1s(const Coupon& a, const Coupon& b) { return a.p < b.p; } std::vector<int> max_coupons(int A_int, std::vector<int> P, std::vector<int> T) { long long N = P.size(); unsigned __int128 A = A_int; // 1. Separate coupons into multipliers and spenders. std::vector<Coupon> multipliers; std::vector<Coupon> t1s; for (int i = 0; i < N; ++i) { if (T[i] == 1) { t1s.push_back({i, (long long)P[i], T[i]}); } else { multipliers.push_back({i, (long long)P[i], T[i]}); } } // Sort both groups based on the optimal buying strategy. std::sort(multipliers.begin(), multipliers.end(), compareMultipliers); std::sort(t1s.begin(), t1s.end(), compareT1s); // 2. Precompute prefix sums for spender prices for efficient lookups. std::vector<unsigned __int128> t1_prefix_sum(t1s.size() + 1, 0); for (size_t i = 0; i < t1s.size(); ++i) { t1_prefix_sum[i + 1] = t1_prefix_sum[i] + t1s[i].p; } // Helper to count affordable spenders using binary search on prefix sums. auto count_affordable_t1s = [&](unsigned __int128 current_tokens) { if (current_tokens == 0) return 0; auto it = std::upper_bound(t1_prefix_sum.begin() + 1, t1_prefix_sum.end(), current_tokens); return static_cast<int>(std::distance(t1_prefix_sum.begin(), it) - 1); }; int max_total_coupons = 0; int best_k_m = 0; // The optimal number of multipliers to buy. // 3. Baseline: buy zero multipliers. max_total_coupons = count_affordable_t1s(A); // A token amount large enough to afford essentially all remaining coupons. // Sum of all prices is a safe threshold. (N_max * P_max ≈ 2e5 * 1e9 = 2e14) const unsigned __int128 THRESHOLD = (unsigned __int128)200001 * 1000000000; unsigned __int128 current_tokens = A; // 4. Iterate through multiplier prefixes. for (int k_m = 0; k_m < multipliers.size(); ++k_m) { const auto& m = multipliers[k_m]; if (current_tokens >= m.p) { // "Buy" the multiplier and update tokens. current_tokens = (current_tokens - m.p) * m.t; int num_t1s; // Optimization: if tokens are huge, we can afford all spenders. if (current_tokens >= THRESHOLD) { num_t1s = t1s.size(); } else { num_t1s = count_affordable_t1s(current_tokens); } // Check if this new combination of (k_m+1) multipliers is better. if (k_m + 1 + num_t1s > max_total_coupons) { max_total_coupons = k_m + 1 + num_t1s; best_k_m = k_m + 1; } } else { // If we can't afford this multiplier, we can't buy any longer prefixes. break; } } // 5. Reconstruct the final answer. std::vector<int> result; result.reserve(max_total_coupons); // Add the best prefix of multipliers. for (int i = 0; i < best_k_m; ++i) { result.push_back(multipliers[i].id); } // Recalculate the token amount after buying these multipliers. unsigned __int128 tokens_for_t1s = A; for (int i = 0; i < best_k_m; ++i) { tokens_for_t1s = (tokens_for_t1s - multipliers[i].p) * multipliers[i].t; } // Determine how many spenders can be bought. int num_t1s_to_add = count_affordable_t1s(tokens_for_t1s); // Add the affordable spenders. for (int i = 0; i < num_t1s_to_add; ++i) { result.push_back(t1s[i].id); } return result; }
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