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rots:: optimization of matrices
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@ -1129,30 +1129,33 @@ EX namespace rots {
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if(sl2) return zpush(z);
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return cspin(3, 2, -z) * cspin(0, 1, -z);
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}
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std::unordered_map<int, transmatrix> saved_matrices;
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struct hrmap_rotation_space : hybrid::hrmap_hybrid {
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transmatrix relative_matrix(cell *c1, int i) {
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if(i == c1->type-2) return uzpush(-cgi.plevel) * spin(-2*cgi.plevel);
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if(i == c1->type-1) return uzpush(+cgi.plevel) * spin(+2*cgi.plevel);
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if(PURE && hybrid::underlying != gArchimedean) {
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/* todo: always do something like this! */
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int j = c1->c.spin(i);
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cell *c2 = c1->cmove(i);
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int id1 = hybrid::underlying == gArchimedean ? arcm::id_of(c1->master) + 20 * arcm::parent_index_of(c1->master) : shvid(c1);
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int id2 = hybrid::underlying == gArchimedean ? arcm::id_of(c2->master) + 20 * arcm::parent_index_of(c2->master) : shvid(c2);
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int j = c1->c.spin(i);
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int id = id1 + (id2 << 10) + (i << 20) + (j << 26);
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auto &M = saved_matrices[id];
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if(M[3][3]) return M;
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/*if(PURE && hybrid::underlying != gArchimedean) {
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ld A = master_to_c7_angle();
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transmatrix Q = spin(-A + 2 * M_PI * i / S7) * uxpush(cgi.tessf) * spin(M_PI - 2 * M_PI * j / S7 + A);
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return Q;
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/* if(!eqmatrix(Q, R)) {
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println(hlog, "matrix discrepancy");
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println(hlog, Q);
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println(hlog, R);
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} */
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}
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} */
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hyperpoint d;
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ld alpha, beta, distance;
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transmatrix Spin;
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cell *c2 = where[c1].first;
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cell *cw = where[c1].first;
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in_underlying([&] {
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transmatrix T = cellrelmatrix(c2, i);
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transmatrix T = cellrelmatrix(cw, i);
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hyperpoint h = tC0(T);
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Spin = inverse(gpushxto0(h) * T);
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d = hr::inverse_exp(h, iTable);
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@ -1161,8 +1164,7 @@ EX namespace rots {
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beta = atan2(h[1], h[0]);
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});
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for(int k=0; k<3; k++) Spin[3][k] = Spin[k][3] = 0; Spin[3][3] = 1;
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transmatrix R = spin(beta) * uxpush(distance/2) * spin(-beta+alpha);
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return R;
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return M = spin(beta) * uxpush(distance/2) * spin(-beta+alpha);
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}
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virtual transmatrix relative_matrix(cell *c2, cell *c1, const struct hyperpoint& point_hint) override {
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