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https://github.com/zenorogue/hyperrogue.git
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DHRG not exports some things
This commit is contained in:
Zeno Rogue
parent
5c97fbb06e
commit
d4ea078f7f
@ -3,8 +3,6 @@
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namespace dhrg {
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typedef long long ll;
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struct progressbar : indenter_finish {
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string name;
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static const int PBSIZE = 64;
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@ -1,41 +1,9 @@
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// see this paper: https://arxiv.org/abs/2109.11772
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#define DHRGVER "7.1"
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#include "../rogueviz.h"
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#define LONG_BRACKETS
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#include "dhrg.h"
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namespace rogueviz { extern string fname; }
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namespace dhrg {
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using namespace hr;
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#ifndef BOXSIZE
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static const int BOXSIZE = 32;
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#endif
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static const int MAXDIST = (2*BOXSIZE);
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static const int SETS = 4;
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struct segment;
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cell *croot() { return currentmap->gamestart(); }
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int M;
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vector<struct mycell*> vertices;
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vector<ld> disttable0, disttable1;
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void memoryInfo();
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void cellcoords();
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void origcoords();
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void build_disttable();
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void dhrg_init();
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bool dhrg_animate(int sym, int uni);
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}
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#include "readgraph.cpp"
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#include "dhrg-utils.cpp"
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#include "regular.cpp"
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@ -53,6 +21,10 @@ bool dhrg_animate(int sym, int uni);
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namespace dhrg {
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int M;
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vector<struct mycell*> vertices;
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vector<ld> disttable0, disttable1;
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void memoryInfo() {
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string s = "";
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76
rogueviz/dhrg/dhrg.h
Normal file
76
rogueviz/dhrg/dhrg.h
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@ -0,0 +1,76 @@
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#define DHRGVER "7.1"
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#include "../rogueviz.h"
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#define LONG_BRACKETS
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namespace dhrg {
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using namespace hr;
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typedef long long ll;
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#ifndef BOXSIZE
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static const int BOXSIZE = 32;
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#endif
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static const int MAXDIST = (2*BOXSIZE);
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static const int SETS = 4;
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struct segment;
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inline cell *croot() { return currentmap->gamestart(); }
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extern int M;
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extern vector<struct mycell*> vertices;
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extern vector<ld> disttable0, disttable1;
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void memoryInfo();
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void cellcoords();
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void origcoords();
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void build_disttable();
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void dhrg_init();
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bool dhrg_animate(int sym, int uni);
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/* implemented in loglik.cpp: */
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/* for logistic regression */
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struct logistic {
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ld R, T;
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ld yes(ld d) { return 1/(1 + exp((d-R) / 2 / T)); }
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ld no(ld d) { return 1/(1 + exp(-(d-R) / 2 / T)); }
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ld lyes(ld d) { return log(yes(d)); }
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ld lno(ld d) { return log(no(d)); }
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logistic() {}
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logistic(ld _R, ld _T) : R(_R), T(_T) {}
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void setRT(ld _R, ld _T) { R = _R; T = _T; }
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};
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extern ld llcont_approx_prec;
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extern vector<array<ll, 2>> disttable_approx;
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using logisticfun = std::function<ld(logistic&)>;
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extern logistic current_logistic;
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ld loglik_cont_approx(logistic& l = current_logistic);
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void fast_loglik_cont(logistic& l, const logisticfun& f, const char *name, ld start, ld eps);
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/* greedy routing */
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struct iddata {
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ld tot, suc, routedist, bestdist;
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iddata() { tot = suc = routedist = bestdist = 0; }
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};
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using neighborhoodfun = std::function<vector<int> (int)>;
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using distfun = std::function<ld(int a, int b)>;
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void prepare_pairs(int N, const neighborhoodfun& nei);
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void greedy_routing(iddata& d, const distfun& distance_function);
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}
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@ -2,10 +2,11 @@
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#include <thread>
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#define USE_THREADS
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int threads = 32;
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namespace dhrg {
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int threads = 32;
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ld llcont_approx_prec = 10000;
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// tally edges of the given vertex at the given index
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@ -74,15 +75,6 @@ ld bestll2(ld a, ld ab) { return bestll(a, ab-a); }
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// various methods of loglikelihood computation
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struct logistic {
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ld R, T;
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ld yes(ld d) { return 1/(1 + exp((d-R) / 2 / T)); }
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ld no(ld d) { return 1/(1 + exp(-(d-R) / 2 / T)); }
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ld lyes(ld d) { return log(yes(d)); }
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ld lno(ld d) { return log(no(d)); }
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void setRT(ld _R, ld _T) { R = _R; T = _T; }
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};
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template<class T> void fix_logistic_parameters(logistic& l, const T& f, const char *name, ld eps) {
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indenter_finish im("fix_logistic_parameters");
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ld cur = f(l);
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@ -379,7 +371,7 @@ void build_disttable_approx() {
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disttable_approx[i][j] += r[i][j];
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}
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ld loglik_cont_approx(logistic& l = current_logistic) {
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ld loglik_cont_approx(logistic& l) {
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ld llh = 0;
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int N = isize(disttable_approx);
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@ -389,46 +381,50 @@ ld loglik_cont_approx(logistic& l = current_logistic) {
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if(disttable_approx[i][1])
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llh += l.lyes((i+.5)/llcont_approx_prec) * disttable_approx[i][1];
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}
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return llh;
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}
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template<class T> void fast_loglik_cont(logistic& l, const T& f, const char *name, ld start, ld eps) {
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using logisticfun = std::function<ld(logistic&)>;
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indenter_finish im("fix_logistic_parameters");
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void fast_loglik_cont(logistic& l, const logisticfun& f, const char *name, ld start, ld eps) {
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if(name) println(hlog, "fix_logistic_parameters");
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indenter_finish im(name);
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ld cur = f(l);
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println(hlog, format("%s = %20.10" PLDF " (R=%10.5" PLDF " T=%" PLDF ")\n", name, cur, l.R, l.T));
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if(name) println(hlog, format("%s = %20.10" PLDF " (R=%10.5" PLDF " T=%" PLDF ")", name, cur, l.R, l.T));
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map<pair<double, double>, double> memo;
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auto ff = [&] () {
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if(l.T < -5) exit(1);
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if(memo.count(make_pair(l.R, l.T)))
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return memo[make_pair(l.R, l.T)];
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return memo[make_pair(l.R, l.T)] = f(l);
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};
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int steps = 0;
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for(ld step=start; step>eps; step /= 2) {
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loop:
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bool changed = false;
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while(true) { l.R += step; ld t = ff(); if(t <= cur) break; cur = t; changed = true; }
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while(true) { steps++; l.R += step; ld t = ff(); if(t <= cur || steps > 1000) break; cur = t; changed = true; }
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l.R -= step;
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while(true) { l.R -= step; ld t = ff(); if(t <= cur) break; cur = t; changed = true; }
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while(true) { steps++; l.R -= step; ld t = ff(); if(t <= cur || steps > 1000) break; cur = t; changed = true; }
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l.R += step;
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while(true) { l.T += step; ld t = ff(); if(t <= cur) break; cur = t; changed = true; }
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while(true) { steps++; l.T += step; ld t = ff(); if(t <= cur || steps > 1000) break; cur = t; changed = true; }
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l.T -= step;
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while(true) { l.T -= step; ld t = ff(); if(t <= cur) break; cur = t; changed = true; }
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while(true) { steps++; l.T -= step; ld t = ff(); if(t <= cur || l.T < 1e-3 || steps > 1000) break; cur = t; changed = true; }
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l.T += step;
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if(changed) goto loop;
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println(hlog, format("%s = %20.10" PLDF " (R=%10.5" PLDF " T=%10.5" PLDF ")\n", name, cur, l.R, l.T));
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if(name) println(hlog, format("%s = %20.10" PLDF " (R=%10.5" PLDF " T=%10.5" PLDF ")", name, cur, l.R, l.T));
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fflush(stdout);
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}
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}
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}
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@ -14,7 +14,12 @@ vector<pairdata> pairs;
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vector<int> last_goal;
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vector<int> next_stop;
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void prepare_pairs() {
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int gr_N;
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using neighborhoodfun = std::function<vector<int> (int)>;
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void prepare_pairs(int N, const neighborhoodfun& nei) {
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gr_N = N;
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pairs.resize(N);
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actual.resize(N);
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for(int i=0; i<N; i++) actual[i].resize(N, NOYET);
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@ -30,10 +35,8 @@ void prepare_pairs() {
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visit(i, 0);
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for(int k=0; k<isize(bfsqueue); k++) {
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int a = bfsqueue[k];
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for(auto ed: rogueviz::vdata[a].edges) {
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int b = ed.second->i ^ ed.second->j ^ a;
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for(auto b: nei(a))
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visit(b, p[a] + 1);
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}
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}
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}
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last_goal.clear();
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@ -42,6 +45,17 @@ void prepare_pairs() {
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next_stop.resize(N, -1);
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}
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void prepare_pairs() {
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prepare_pairs(N, [] (int a) {
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vector<int> res;
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for(auto ed: rogueviz::vdata[a].edges) {
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int b = ed.second->i ^ ed.second->j ^ a;
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res.push_back(b);
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}
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return res;
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});
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}
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void route_from(int src, int goal, const vector<ld>& distances_from_goal) {
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if(last_goal[src] == goal) return;
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if(src == goal) {
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@ -78,21 +92,14 @@ void route_from(int src, int goal, const vector<ld>& distances_from_goal) {
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last_goal[src] = goal;
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}
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struct iddata {
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ld tot, suc, routedist, bestdist;
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iddata() { tot = suc = routedist = bestdist = 0; }
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} datas[6];
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template<class T> void greedy_routing_to(int id, int goal, const T& distance_function) {
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vector<ld> distances_from_goal(N);
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for(int src=0; src<N; src++)
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void greedy_routing_to(iddata& d, int goal, const distfun& distance_function) {
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vector<ld> distances_from_goal(gr_N);
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for(int src=0; src<gr_N; src++)
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distances_from_goal[src] = distance_function(goal, src);
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for(int src=0; src<N; src++)
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for(int src=0; src<gr_N; src++)
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route_from(src, goal, distances_from_goal);
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auto& d = datas[id];
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for(int j=0; j<N; j++) if(j != goal){
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for(int j=0; j<gr_N; j++) if(j != goal){
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d.tot++;
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ld p = pairs[j].success;
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d.suc += p;
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@ -101,12 +108,13 @@ template<class T> void greedy_routing_to(int id, int goal, const T& distance_fun
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}
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}
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template<class T> void greedy_routing(int id, const T& distance_function) {
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for(int goal=0; goal<N; goal++) greedy_routing_to(id, goal, distance_function);
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void greedy_routing(iddata& d, const distfun& distance_function) {
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for(int goal=0; goal<gr_N; goal++) greedy_routing_to(d, goal, distance_function);
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}
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void routing_test(string s) {
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iddata datas[6];
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vector<string> reps;
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vector<ld> values;
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@ -131,17 +139,17 @@ void routing_test(string s) {
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dhrg_init(); read_graph_full("data/sime-" + s);
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origcoords();
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prepare_pairs();
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greedy_routing(0, [] (int i, int j) { return hdist(vertexcoords[i], vertexcoords[j]); });
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greedy_routing(1, [] (int i, int j) { return quickdist(vertices[i], vertices[j], 0); });
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greedy_routing(datas[0], [] (int i, int j) { return hdist(vertexcoords[i], vertexcoords[j]); });
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greedy_routing(datas[1], [] (int i, int j) { return quickdist(vertices[i], vertices[j], 0); });
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embedder_loop(20);
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greedy_routing(2, [] (int i, int j) { return quickdist(vertices[i], vertices[j], 0); });
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greedy_routing(datas[2], [] (int i, int j) { return quickdist(vertices[i], vertices[j], 0); });
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cellcoords();
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greedy_routing(3, [] (int i, int j) { return hdist(vertexcoords[i], vertexcoords[j]); });
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greedy_routing(datas[3], [] (int i, int j) { return hdist(vertexcoords[i], vertexcoords[j]); });
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greedy_routing(4, [] (int i, int j) { return hdist(vertexcoords[i], vertexcoords[j]) + 100 * quickdist(vertices[i], vertices[j], 0); });
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greedy_routing(datas[4], [] (int i, int j) { return hdist(vertexcoords[i], vertexcoords[j]) + 100 * quickdist(vertices[i], vertices[j], 0); });
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}
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for(int id: {0,1,2,3,4}) {
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@ -157,8 +165,9 @@ void routing_test(string s) {
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}
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int current_goal;
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iddata prepared;
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void prepare_goal(int goal) {
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greedy_routing_to(0, current_goal = goal, [] (int i, int j) { return hdist(vertexcoords[i], vertexcoords[j]); });
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greedy_routing_to(prepared, current_goal = goal, [] (int i, int j) { return hdist(vertexcoords[i], vertexcoords[j]); });
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}
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vector<int> path(int src) {
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