// test measures // Copyright (C) 2011-2022 Tehora and Zeno Rogue, see 'hyper.cpp' for details #include "kohonen.h" namespace rogueviz { namespace measures { double kendall(const vector>& allp) { int maxo = 0, maxe = 0; for(const auto& a: allp) maxo = max(maxo, a.first), maxe = max(maxe, a.second); maxo++; maxe++; if(maxo >= 256 || maxe >= 256) { println(hlog, "more than 256!\n"); exit(1); } int cnt[256][256]; for(int a=0; a counts(maxe, 0); vector totals(maxe); double tau = 0; for(int i=0; i> recreate_topology(const vector& mapp, const vector >& edges) { auto cmapp = mapp; for(int i=0; i= 0) cmapp[i] = i; while(true) { vector > changes; for(auto e: edges) { if(cmapp[e.first] == -1 && cmapp[e.second] >= 0) changes.emplace_back(e.first, cmapp[e.second]); if(cmapp[e.second] == -1 && cmapp[e.first] >= 0) changes.emplace_back(e.second, cmapp[e.first]); } if(changes.empty()) break; for(auto ch: changes) cmapp[ch.first] = ch.second; } set> subedges; for(auto e: edges) { auto a = cmapp[e.first], b = cmapp[e.second]; if(a==b) continue; if(a> result; for(auto sube: subedges) result.emplace_back(sube.first, sube.second); return result; } vector> build_distance_matrix(int N, const vector>& vedges) { vector> res; res.resize(N); for(auto& r: res) r.resize(N, 1000); vector> edges_of(N); for(auto [a, b]: vedges) edges_of[a].push_back(b), edges_of[b].push_back(a); for(int i=0; i bfs; auto visit = [&] (int id, int dist) { if(d[id] <= dist) return; d[id] = dist; bfs.push(id); }; visit(i, 0); while(!bfs.empty()) { auto j = bfs.front(); for(auto e: edges_of[j]) visit(e, d[j]+1); bfs.pop(); } } return res; } vector catnames = {"energy", "rips", "kendall", "empty", "emptyx", "subedges", "emptyxx", "villman1", "villman2", "vedges", "maxvill1", "maxvill2"}; ld evaluate_measure(manidata& emb, manidata& orig, vector& mapp, vector >& vor_edges, vector>& edo_recreated, int k) { int No = orig.size; int Ne = emb.size; auto& edo = orig.edges; auto& ede = emb.edges; auto& dise = emb.distances; auto& diso = orig.distances; ld energy = 0; if(k == 2) { vector > allp; allp.reserve(No * No); for(int i=0; i empty(Ne, true); for(int i=0; i> adj(Ne); vector> on(Ne); for(int i=0; i 1 && diso[oi1][oi2] <= 1) empty = false; } if(empty && k == 6) { for(auto i1: adj[i]) for(auto i2: adj[i]) for(auto i11: adj[i1]) { for(auto i21: adj[i2]) for(auto oi1: on[i11]) for(auto oi2: on[i21]) if(dise[i11][i21] == dise[i11][i] + dise[i21][i] && diso[oi1][oi2] <= 1) empty = false; for(auto oi1: on[i11]) for(auto oi2: on[i2]) if(dise[i11][i2] == dise[i11][i] + dise[i2][i] && diso[oi1][oi2] <= 1) empty = false; } } if(empty) energy++; } for(auto p: edo_recreated) diso[p.first][p.second] += 100, diso[p.second][p.first] += 100; } else if(k == 5) energy = isize(edo_recreated); else if(k == 1) { for(auto [a,b]: edo_recreated) { if(mapp[a] == -1 || mapp[b] == -1) continue; int d = dise[mapp[a]][mapp[b]]; if(k == 9) energy += d * d; else if(k == 1) energy += (d < 2 ? 0 : d == 2 ? 1 : 100); } } else if(k == 0) { for(auto [a,b]: edo) { if(mapp[a] == -1 || mapp[b] == -1) continue; int d = dise[mapp[a]][mapp[b]]; energy += d * d; } } else if(k == 7) { for(auto [a,b]: vor_edges) { int d = dise[a][b] - 1; energy += d*d; } } else if(k == 8) { auto disv = build_distance_matrix(Ne, vor_edges); int bugs = 0; for(auto [a,b]: ede) { int d = disv[a][b] - 1; if(d >= 900) bugs++; energy += d*d; } if(bugs) println(hlog, "bugs=", bugs); } else if(k == 10) { for(auto [a,b]: vor_edges) energy = max(energy, dise[a][b] - 1); } else if(k == 11) { auto disv = build_distance_matrix(Ne, vor_edges); for(auto [a,b]: ede) energy = max(energy, disv[a][b] - 1); } else if(k == 9) energy = isize(vor_edges); return energy; } /* void test_kendall() { for(string orig: origs.names) { int No = origs.mdata[orig].size; vector > allp; auto& diso = origs.mdata[orig].distances; for(int i=0; i