#include "../util.h" namespace kuhn { #include } namespace hk { #include } void stress_test() { ll queries = 0; for (int tries = 0; tries < 50'000; tries++) { int n = Random::integer(1, 30); int m = Random::integer(0, max(1, n*(n-1) / 2 + 1)); kuhn::adj.assign(2*n, {}); hk::adj.assign(2*n, {}); Graph g(n); g.erdosRenyi(m); g.forEdges([&](int a, int b){ kuhn::adj[a].push_back(n+b); kuhn::adj[b+n].push_back(a); hk::adj[a].push_back(n+b); hk::adj[b+n].push_back(a); }); ll got = kuhn::kuhn(n); ll expected = hk::hopcroft_karp(n); vector seen(2*n); ll got2 = 0; for (int i = 0; i < n; i++) { int j = kuhn::pairs[i]; if (j < 0) continue; if (kuhn::pairs[j] != i) cerr << "error: inconsitent" << FAIL; if (j == i) cerr << "error: invalid" << FAIL; if (j < i) continue; if (seen[i] || seen[j]) cerr << "error: invalid" << FAIL; seen[i] = seen[j] = true; got2++; } if (got != got2) cerr << "got: " << got << ", got2: " << got2 << FAIL; if (got != expected) cerr << "got: " << got << ", expected: " << expected << FAIL; queries += n; } cerr << "tested random queries: " << queries << endl; } //this is an easy graph... constexpr int N = 10'000; constexpr int M = 100'000; void performance_test() { timer t; Graph g(N); g.erdosRenyi(M); kuhn::adj.assign(2*N, {}); g.forEdges([&](int a, int b){ kuhn::adj[a].push_back(N+b); kuhn::adj[b+N].push_back(a); }); t.start(); hash_t hash = kuhn::kuhn(N); t.stop(); if (t.time > 200) cerr << "too slow: " << t.time << FAIL; cerr << "tested performance: " << t.time << "ms (hash: " << hash << ")" << endl; } int main() { stress_test(); if (!sanitize) performance_test(); }