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https://github.com/zenorogue/hyperrogue.git
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144 lines
3.6 KiB
C++
144 lines
3.6 KiB
C++
#include "rogueviz.h"
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/** \brief Snowball visualization
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*
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* This visualization puts small objects ('snowballs') randomly throughout the space.
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* It provides a way to visualize the geometry without any tessellation.
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*
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* Should work for tessellations where every tile is congruent.
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*
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* The snow_lambda parameter gives the expected number of snowballs per cell.
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* (The number in every region has Poisson distribution with mean proportional to its area.)
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*
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* Freezes for tessellations with ideal vertices
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*
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*
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*
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**/
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namespace rogueviz {
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namespace nilcompass {
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hyperpoint to_rot(hyperpoint h) {
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if(nil) h[2] -= h[0] * h[1] / 2;
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return h;
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}
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hyperpoint to_heis(hyperpoint h) {
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if(nil) h[2] += h[0] * h[1] / 2;
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if(sphere || hyperbolic) h = normalize(h);
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if(sphere || hyperbolic) h[0] /= 2, h[1] /= 2, h[2] /= 2;
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return h;
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}
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struct shape {
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color_t col;
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int i;
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int is;
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hpcshape sh;
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};
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vector<shape> shapes;
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bool known;
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bool draw_compass(cell *c, const shiftmatrix& V) {
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if(!known) {
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known = true;
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for(int i=0; i<3; i++) for(int is=-1; is<2; is+=2)
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for(int js=-1; js<2; js+=2)
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for(int ks=-1; ks<2; ks+=2)
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{
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int j = (i+1) % 3;
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int k = (j+1) % 3;
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color_t col = 0xFFFFFFFF;
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part(col, i+1) = 0xA0;
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if(js*ks==1) {
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part(col, i+1) = 0x30; // col = gradient(col, 0xFF, 0, 0.8, 1);
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}
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if(is == -1) part(col, j+1) = part(col, i+1);
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shapes.emplace_back(shape{col, i, is, hpcshape()});
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auto& sh = shapes.back().sh;
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cgi.bshape(sh, PPR::LINE);
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hyperpoint p1 = C0 + ctangent(i, is * .4);
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hyperpoint p2 = C0 + ctangent(j, js * .15);
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hyperpoint p3 = C0 + ctangent(k, ks * .15);
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for(int i=0; i<10; i++) cgi.hpcpush(to_heis(lerp(p1, p2, i/10.)));
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for(int i=0; i<10; i++) cgi.hpcpush(to_heis(lerp(p2, p3, i/10.)));
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for(int i=0; i<10; i++) cgi.hpcpush(to_heis(lerp(p3, p1, i/10.)));
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cgi.hpcpush(to_heis(p1));
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cgi.finishshape();
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}
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cgi.extra_vertices();
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}
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poly_outline = 0;
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for(auto& [col, i, is, sh]: shapes) {
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ld t = 36 + ticks / 1000.;
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auto remap = [&] (int _i, int _is) {
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if(i == _i && is == _is) return col;
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int c = part(col, 1) + part(col, 2) + part(col, 3);
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c += 1; c /= 12;
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color_t col1 = col;
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part(col1, 1) = part(col1, 2) = part(col1, 3) = c;
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return gradient(col, col1, 0, 0.9, 1);
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};
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vector<pair<ld, color_t>> clist = {
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{36, col},
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{42.5, col},
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{42.7, remap(1, -1)},
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{43.9, remap(1, -1)},
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{44.1, remap(0, +1)},
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{44.9, remap(0, +1)},
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{45.1, remap(1, +1)},
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{46.0, remap(1, +1)},
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{46.2, remap(0, -1)},
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{47.2, remap(0, -1)},
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{47.4, remap(2, -1)},
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{48.1, remap(2, -1)},
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{48.3, remap(2, +1)},
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{49.1, remap(2, +1)},
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{49.3, col},
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{99, col}
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};
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int step = 0;
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while(t > clist[step+1].first) step++;
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auto smoothen = [&] (ld x) { return x * x * (3 - 2*x); };
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auto t1 = ilerp(clist[step].first, clist[step+1].first, t);
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auto col1 = gradient(clist[step].second, clist[step+1].second, 0, smoothen(t1), 1);
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queuepoly(V, sh, col1);
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}
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return false;
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}
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auto hchook = arg::add3("-nil-compass", [] { rv_hook(hooks_drawcell, 100, draw_compass); });
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}
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}
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// 36.00 -> START
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// 42.6 -> NORTH
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// 44.0 -> EAST
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// 45.0 -> SOUTH
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// 46.1 -> WEST
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// 47.3 -> UP
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// 48.2 -> DOWN
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// 49.2 -> ...
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// 53.00 -> END
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