Download docker_space/frontier_cs_4/local_test5.cpp from JustinTX/shinka-backup: direct link, hf CLI and curl.
- Browser
- Download file 9.04 kB
-
https://huggingface.co/JustinTX/shinka-backup/resolve/main/docker_space/frontier_cs_4/local_test5.cpp
- Command line
-
hf download hf://JustinTX/shinka-backup/docker_space/frontier_cs_4/local_test5.cpp
-
curl -L -o local_test5.cpp https://huggingface.co/JustinTX/shinka-backup/resolve/main/docker_space/frontier_cs_4/local_test5.cpp
9.04 kB
| using namespace std; | |
| struct TestCase { | |
| int n; | |
| long long k; | |
| vector<vector<long long>> A; | |
| long long answer; | |
| }; | |
| TestCase gen_matrix(int n, long long k, function<long long(int,int)> valfn) { | |
| TestCase tc; | |
| tc.n = n; tc.k = k; | |
| tc.A.assign(n+1, vector<long long>(n+1, 0)); | |
| vector<long long> all; | |
| for (int i = 1; i <= n; i++) | |
| for (int j = 1; j <= n; j++) { | |
| tc.A[i][j] = valfn(i, j); | |
| all.push_back(tc.A[i][j]); | |
| } | |
| sort(all.begin(), all.end()); | |
| tc.answer = all[k-1]; | |
| return tc; | |
| } | |
| struct Solver { | |
| const TestCase& tc; | |
| int query_count; | |
| vector<long long> memo; | |
| int n; | |
| // Diagnostics | |
| int num_iters; | |
| vector<int> walk_costs; | |
| vector<int> sample_costs; | |
| vector<long long> cand_sizes; | |
| vector<double> split_ratios; | |
| Solver(const TestCase& t) : tc(t), query_count(0), n(t.n), num_iters(0) { | |
| memo.assign(2002 * 2002, -1); | |
| } | |
| long long do_query(int r, int c) { | |
| int key = r * 2001 + c; | |
| if (memo[key] != -1) return memo[key]; | |
| query_count++; | |
| memo[key] = tc.A[r][c]; | |
| return memo[key]; | |
| } | |
| long long solve() { | |
| long long k = tc.k; | |
| long long N2 = (long long)n * n; | |
| if (n == 1) return do_query(1, 1); | |
| long long heap_k = min(k, N2 - k + 1); | |
| if (heap_k + n <= 24000) { | |
| if (k <= N2 - k + 1) { | |
| priority_queue<tuple<long long, int, int>, vector<tuple<long long, int, int>>, greater<>> pq; | |
| vector<vector<bool>> vis(n + 1, vector<bool>(n + 1, false)); | |
| pq.emplace(do_query(1, 1), 1, 1); | |
| vis[1][1] = true; | |
| long long result = -1; | |
| for (long long i = 0; i < k; i++) { | |
| auto [v, r, c] = pq.top(); pq.pop(); | |
| result = v; | |
| if (r + 1 <= n && !vis[r + 1][c]) { vis[r + 1][c] = true; pq.emplace(do_query(r + 1, c), r + 1, c); } | |
| if (c + 1 <= n && !vis[r][c + 1]) { vis[r][c + 1] = true; pq.emplace(do_query(r, c + 1), r, c + 1); } | |
| } | |
| return result; | |
| } else { | |
| long long kk = N2 - k + 1; | |
| priority_queue<tuple<long long, int, int>> pq; | |
| vector<vector<bool>> vis(n + 1, vector<bool>(n + 1, false)); | |
| pq.emplace(do_query(n, n), n, n); | |
| vis[n][n] = true; | |
| long long result = -1; | |
| for (long long i = 0; i < kk; i++) { | |
| auto [v, r, c] = pq.top(); pq.pop(); | |
| result = v; | |
| if (r - 1 >= 1 && !vis[r - 1][c]) { vis[r - 1][c] = true; pq.emplace(do_query(r - 1, c), r - 1, c); } | |
| if (c - 1 >= 1 && !vis[r][c - 1]) { vis[r][c - 1] = true; pq.emplace(do_query(r, c - 1), r, c - 1); } | |
| } | |
| return result; | |
| } | |
| } | |
| vector<int> L(n + 1, 1), R(n + 1, n); | |
| long long k_rem = k; | |
| for (int iter = 0; iter < 100; iter++) { | |
| vector<int> active; | |
| long long total_cand = 0; | |
| for (int i = 1; i <= n; i++) { | |
| if (L[i] <= R[i]) { | |
| active.push_back(i); | |
| total_cand += R[i] - L[i] + 1; | |
| } | |
| } | |
| int na = active.size(); | |
| if (total_cand == 0) break; | |
| if (total_cand == 1) { | |
| for (int i : active) return do_query(i, L[i]); | |
| break; | |
| } | |
| long long budget = 49500 - query_count; | |
| if (k_rem + na <= budget) { | |
| num_iters = iter; | |
| priority_queue<tuple<long long, int, int>, vector<tuple<long long, int, int>>, greater<>> pq; | |
| for (int i : active) pq.emplace(do_query(i, L[i]), i, L[i]); | |
| for (long long t = 1; t < k_rem; t++) { | |
| auto [v, r, c] = pq.top(); pq.pop(); | |
| if (c + 1 <= R[r]) pq.emplace(do_query(r, c + 1), r, c + 1); | |
| } | |
| return get<0>(pq.top()); | |
| } | |
| long long rev_k = total_cand - k_rem + 1; | |
| if (rev_k + na <= budget) { | |
| num_iters = iter; | |
| priority_queue<tuple<long long, int, int>> pq; | |
| for (int i : active) pq.emplace(do_query(i, R[i]), i, R[i]); | |
| for (long long t = 1; t < rev_k; t++) { | |
| auto [v, r, c] = pq.top(); pq.pop(); | |
| if (c - 1 >= L[r]) pq.emplace(do_query(r, c - 1), r, c - 1); | |
| } | |
| return get<0>(pq.top()); | |
| } | |
| int qc_before = query_count; | |
| // Pivot selection (original) | |
| vector<long long> pvals; | |
| double target_frac = (double)(k_rem - 0.5) / total_cand; | |
| int sample_n = max(1, min(na, (int)ceil(sqrt((double)na) * 4))); | |
| int step = max(1, na / sample_n); | |
| for (int idx = 0; idx < na; idx += step) { | |
| int i = active[idx]; | |
| int width = R[i] - L[i] + 1; | |
| int col = L[i] + (int)(target_frac * width); | |
| col = max(L[i], min(R[i], col)); | |
| pvals.push_back(do_query(i, col)); | |
| } | |
| sort(pvals.begin(), pvals.end()); | |
| long long pivot = pvals[pvals.size() / 2]; | |
| int qc_after_sample = query_count; | |
| vector<int> p_le(n + 1, 0); | |
| { | |
| int j = 0; | |
| for (int idx = na - 1; idx >= 0; idx--) { | |
| int i = active[idx]; | |
| j = max(j, L[i]); | |
| while (j <= R[i] && do_query(i, j) <= pivot) j++; | |
| p_le[i] = j - 1; | |
| } | |
| } | |
| int qc_after_walk = query_count; | |
| long long cle = 0; | |
| for (int i : active) { | |
| int rl = min(p_le[i], R[i]); | |
| if (rl >= L[i]) cle += rl - L[i] + 1; | |
| } | |
| double ratio = (double)min(cle, total_cand - cle) / total_cand; | |
| sample_costs.push_back(qc_after_sample - qc_before); | |
| walk_costs.push_back(qc_after_walk - qc_after_sample); | |
| cand_sizes.push_back(total_cand); | |
| split_ratios.push_back(ratio); | |
| if (cle >= k_rem) { | |
| for (int i : active) R[i] = min(R[i], p_le[i]); | |
| } else { | |
| k_rem -= cle; | |
| for (int i : active) L[i] = max(L[i], p_le[i] + 1); | |
| } | |
| } | |
| return -1; | |
| } | |
| }; | |
| int main() { | |
| // Test multiplicative n=2000, k=2000000 | |
| auto tc = gen_matrix(2000, 2000000, [](int i, int j) -> long long { return (long long)i * j; }); | |
| Solver s(tc); | |
| long long result = s.solve(); | |
| bool correct = (result == tc.answer); | |
| printf("Result: %lld, Expected: %lld, Correct: %s, Queries: %d\n", | |
| result, tc.answer, correct ? "YES" : "NO", s.query_count); | |
| printf("Iterations before fallback: %d\n", s.num_iters); | |
| printf("\nPer-iteration breakdown:\n"); | |
| printf("%-5s %10s %8s %8s %10s\n", "Iter", "Candidates", "Sample", "Walk", "SplitRatio"); | |
| for (int i = 0; i < (int)s.walk_costs.size(); i++) { | |
| printf("%-5d %10lld %8d %8d %10.4f\n", | |
| i, s.cand_sizes[i], s.sample_costs[i], s.walk_costs[i], s.split_ratios[i]); | |
| } | |
| // Also test additive | |
| printf("\n--- Additive n=2000 k=2000000 ---\n"); | |
| auto tc2 = gen_matrix(2000, 2000000, [](int i, int j) -> long long { return i + j; }); | |
| Solver s2(tc2); | |
| long long result2 = s2.solve(); | |
| printf("Result: %lld, Expected: %lld, Correct: %s, Queries: %d\n", | |
| result2, tc2.answer, result2 == tc2.answer ? "YES" : "NO", s2.query_count); | |
| printf("Iterations before fallback: %d\n", s2.num_iters); | |
| printf("\nPer-iteration breakdown:\n"); | |
| printf("%-5s %10s %8s %8s %10s\n", "Iter", "Candidates", "Sample", "Walk", "SplitRatio"); | |
| for (int i = 0; i < (int)s2.walk_costs.size(); i++) { | |
| printf("%-5d %10lld %8d %8d %10.4f\n", | |
| i, s2.cand_sizes[i], s2.sample_costs[i], s2.walk_costs[i], s2.split_ratios[i]); | |
| } | |
| // shifted | |
| printf("\n--- Shifted n=2000 k=2000000 ---\n"); | |
| int nn = 2000; | |
| auto tc3 = gen_matrix(nn, 2000000, [nn](int i, int j) -> long long { return (long long)(i + nn) * (j + nn); }); | |
| Solver s3(tc3); | |
| long long result3 = s3.solve(); | |
| printf("Result: %lld, Expected: %lld, Correct: %s, Queries: %d\n", | |
| result3, tc3.answer, result3 == tc3.answer ? "YES" : "NO", s3.query_count); | |
| printf("Iterations before fallback: %d\n", s3.num_iters); | |
| printf("\nPer-iteration breakdown:\n"); | |
| printf("%-5s %10s %8s %8s %10s\n", "Iter", "Candidates", "Sample", "Walk", "SplitRatio"); | |
| for (int i = 0; i < (int)s3.walk_costs.size(); i++) { | |
| printf("%-5d %10lld %8d %8d %10.4f\n", | |
| i, s3.cand_sizes[i], s3.sample_costs[i], s3.walk_costs[i], s3.split_ratios[i]); | |
| } | |
| return 0; | |
| } | |