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flocking:: product geometries

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This commit is contained in:
Zeno Rogue 2020-03-21 09:34:50 +01:00
parent e3a1079a32
commit 2cc1de4a02
1 changed files with 51 additions and 15 deletions
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66
rogueviz/flocking.cpp
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@ -16,8 +16,6 @@
// press 'o' when flocking active to change the parameters.
// (does not yet work in product geometries)
#ifdef USE_THREADS
#include <thread>
int threads = 1;
@ -112,7 +110,10 @@ namespace flocking {
for(int i=0; i<N; i++) {
vertexdata& vd = vdata[i];
// set initial base and at to random cell and random position there
createViz(i, v[hrand(isize(v))], random_spin() * xpush(hrand(100) / 200.));
createViz(i, v[hrand(isize(v))], Id);
rotate_object(vd.m->pat, vd.m->ori, random_spin());
apply_parallel_transport(vd.m->pat, vd.m->ori, xtangent(hrand(100) / 200.));
vd.name = its(i+1);
vd.cp = dftcolor;
vd.cp.color2 = ((hrand(0x1000000) << 8) + 0xFF) | 0x808080FF;
@ -154,14 +155,20 @@ namespace flocking {
auto m = vd.m;
transmatrix I, Rot;
bool use_rot = true;
if(nonisotropic) {
if(prod) {
I = inverse(m->at);
Rot = inverse(m->ori);
}
else if(nonisotropic) {
I = gpushxto0(tC0(m->at));
Rot = inverse(I * m->at);
}
else {
I = inverse(m->at);
Rot = Id;
use_rot = false;
}
// we do all the computations here in the frame of reference
@ -188,7 +195,7 @@ namespace flocking {
// m2's position relative to m (tC0 means *(0,0,1))
hyperpoint ac = inverse_exp(tC0(at2), iTable, false);
if(nonisotropic) ac = Rot * ac;
if(use_rot) ac = Rot * ac;
// distance and azimuth to m2
ld di = hypot_d(WDIM, ac);
@ -246,7 +253,14 @@ namespace flocking {
apply_parallel_transport(pats[i], oris[i], xtangent(vels[i] * d));
fixmatrix(pats[i]);
/* RogueViz does not correctly rotate them */
if(prod) {
hyperpoint h = oris[i] * xtangent(1);
pats[i] = pats[i] * spin(-atan2(h[1], h[0]));
oris[i] = spin(+atan2(h[1], h[0])) * oris[i];
}
} return 0; });
for(int i=0; i<N; i++) {
@ -271,10 +285,23 @@ namespace flocking {
if(follow == 1) {
gmatrix.clear();
vdata[0].m->pat = View * calc_relative_matrix(vdata[0].m->base, centerover, C0) * vdata[0].m->at;
View = spin(90 * degree) * inverse(vdata[0].m->pat) * View;
if(GDIM == 3) {
View = hr::cspin(1, 2, 90 * degree) * View;
}
View = inverse(vdata[0].m->pat) * View;
if(prod) {
NLP = inverse(vdata[0].m->ori);
NLP = hr::cspin(1, 2, 90 * degree) * spin(90 * degree) * NLP;
if(NLP[0][2]) {
auto downspin = -atan2(NLP[0][2], NLP[1][2]);
NLP = spin(downspin) * NLP;
}
}
else {
View =spin(90 * degree) * View;
if(GDIM == 3) {
View = hr::cspin(1, 2, 90 * degree) * View;
}
}
}
if(follow == 2) {
@ -283,14 +310,23 @@ namespace flocking {
// are taken), and normalize the result to project it back to the hyperboloid
// (the same method is commonly used on the sphere AFAIK)
hyperpoint h = Hypc;
bool ok = false;
int cnt = 0;
ld lev = 0;
for(int i=0; i<N; i++) if(gmatrix.count(vdata[i].m->base)) {
ok = true;
vdata[i].m->pat = gmatrix[vdata[i].m->base] * vdata[i].m->at;
h += tC0(vdata[i].m->pat);
auto h1 = tC0(vdata[i].m->pat);
cnt++;
if(prod) {
auto d1 = product_decompose(h1);
lev += d1.first;
h += d1.second;
}
else
h += h1;
}
if(ok) {
h = normalize(h);
if(cnt) {
h = normalize_flat(h);
if(prod) h = zshift(h, lev / cnt);
View = inverse(actual_view_transform) * gpushxto0(h) * actual_view_transform * View;
}
}