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hyperrogue/rogueviz/random-walk.cpp

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#include "rogueviz.h"
#include <iostream>
#include <thread>
namespace rogueviz {
namespace rwalk {
struct line {
hyperpoint a;
hyperpoint b;
color_t col;
int timestamp;
};
struct rwalker {
cell *at;
transmatrix ori;
transmatrix T;
color_t col;
int simulated;
};
map<cell*, vector<line> > drawn;
vector<rwalker> walkers;
ld total_time;
bool draw_rwalk(cell *c, const shiftmatrix& V) {
vid.linewidth *= 3;
for(auto p: drawn[c]) if(p.timestamp <= total_time)
queueline(V * p.a, V * p.b, p.col, 0);
vid.linewidth /= 3;
return false;
}
bool in_video;
ld sim_speed = 5;
int branch_each = 50000;
ld step_size = 0.02;
bool advance_walkers(int delta) {
if(walkers.empty()) {
walkers.emplace_back(rwalker{currentmap->gamestart(), Id, Id, 0xFFFFFFFF, 0});
}
if(in_video) {
ld t = history::phase / (isize(history::v) - 1);
total_time = walkers[0].simulated * t;
}
else {
total_time += delta * sim_speed;
}
for(int i=0; i<isize(walkers); i++) {
if(heptdistance(walkers[i].at, centerover) > 7)
continue;
while(walkers[i].simulated < total_time) {
walkers[i].simulated++;
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if(branch_each && rand() % branch_each == 0) {
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walkers.push_back(walkers[i]);
walkers.back().col = hrandpos() | 0x808080FF;
walkers[i].col = hrandpos() | 0x808080FF;
}
auto& w = walkers[i];
hyperpoint h = tC0(w.T);
if(WDIM == 2) {
w.T = w.T * xspinpush(randd() * 2 * M_PI, step_size);
}
else {
hyperpoint dir = random_spin() * xtangent(step_size);
apply_parallel_transport(w.T, w.ori, dir);
}
fixmatrix(w.T);
hyperpoint h1 = tC0(w.T);
drawn[w.at].emplace_back(line{h, h1, w.col, w.simulated});
virtualRebase(w.at, w.T);
w.simulated++;
}
}
// centerover = walkers[0].at;
// View = inverse(walkers[0].T);
// setdist(centerover, 0, nullptr);
return false;
}
void enable();
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int args() {
using namespace arg;
if(0) ;
else if(argis("-rwalk")) {
enable();
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}
else if(argis("-rwparam")) {
shift_arg_formula(sim_speed);
shift_arg_formula(step_size);
shift(); branch_each = argi();
}
else return 1;
return 0;
}
void show() {
cmode = sm::SIDE | sm::MAYDARK;
gamescreen(0);
dialog::init(XLAT("random walk"), 0xFFFFFFFF, 150, 0);
dialog::addSelItem("step size", fts(step_size), 'd');
dialog::add_action([]() {
dialog::editNumber(step_size, 1e-3, 10, 0.1, 1e-2, "step size", "");
dialog::scaleLog();
});
dialog::addSelItem("steps per millisecond", fts(sim_speed), 'v');
dialog::add_action([]() {
dialog::editNumber(sim_speed, 0, 10, 0.1, 5, "steps per millisecond", "");
});
dialog::addSelItem("steps per branch", its(branch_each), 'b');
dialog::add_action([]() {
dialog::editNumber(branch_each, 100, 1000000, 0.1, 50000, "steps per branch", "");
dialog::scaleLog();
});
dialog::addBoolItem("create an animation", in_video, 'a');
dialog::add_action([]() {
in_video = !in_video;
if(!in_video) {
total_time = walkers[0].simulated;
history::on = false;
}
if(in_video) {
history::create(currentmap->gamestart(), walkers[0].at, walkers[0].T);
models::rotation = rand() % 360;
}
});
dialog::addBack();
dialog::display();
}
void o_key(o_funcs& v) {
v.push_back(named_dialog("random walk", show));
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}
string cap = "non-Euclidean random walk/";
void rw_slide(vector<tour::slide>& v, string title, string desc, reaction_t t) {
using namespace tour;
v.push_back(
tour::slide{cap + title, 18, LEGAL::NONE | QUICKGEO, desc,
[t] (presmode mode) {
setCanvas(mode, '0');
if(mode == pmStart) {
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tour::slide_backup(mapeditor::drawplayer, false);
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stop_game();
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t();
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start_game();
enable();
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}
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if(mode == pmKey) {
drawn.clear();
walkers.clear();
total_time = 0;
}
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}}
);
}
void enable() {
rv_hook(hooks_drawcell, 100, draw_rwalk);
rv_hook(shmup::hooks_turn, 100, advance_walkers);
rv_hook(hooks_o_key, 80, o_key);
rv_hook(hooks_clearmemory, 40, [] () {
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drawn.clear();
walkers.clear();
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total_time = 0;
});
}
auto msc =
addHook(hooks_args, 100, args)
+ addHook_rvslides(180, [] (string s, vector<tour::slide>& v) {
if(s != "mixed") return;
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v.push_back(tour::slide{
cap+"random walk visualization", 10, tour::LEGAL::NONE | tour::QUICKSKIP,
"Here we see random walk in various geometries.\n"
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"Press '5' to reset.\n"
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,
[] (tour::presmode mode) {
slide_url(mode, 'y', "YouTube link", "https://www.youtube.com/watch?v=sXNI_i6QZZY");
}
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});
rw_slide(v, "Euclidean plane", "In Euclidean plane, the random walk always returns to the neighborhood of the starting point with probability 1.", [] {
set_geometry(gEuclid);
set_variation(eVariation::pure);
sim_speed = 5;
branch_each = 0;
step_size = 0.02;
});
rw_slide(v, "Euclidean 3-space",
"However, in Euclidean 3-space, it does not return.", [] {
set_geometry(gCubeTiling);
set_variation(eVariation::pure);
sim_speed = 5;
branch_each = 0;
step_size = 0.02;
});
rw_slide(v, "Hyperbolic geometry", "In H2, it does not return, even if we branch from time to time.", [] {
set_geometry(gNormal);
set_variation(eVariation::bitruncated);
sim_speed = 5;
branch_each = 50000;
step_size = 0.02;
});
/* it works in other geometries too -- exercise left for the reader */
});
// {4,5} : 10 6 works
}
}