yggdrasil75/stupidsimcpp
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

pnoise2 is a misnomer, it supports 2d and 3d.

Browse Source
This commit is contained in:
yggdrasil75
2025-11-22 12:11:33 -05:00
parent 4508c8d7f6
commit c4b6cd6c54
4 changed files with 154 additions and 55 deletions
Download Patch File Download Diff File Expand all files Collapse all files

43
util/grid/grid2.hpp
View File

@@ -3,6 +3,7 @@
#include <unordered_map>
#include "../vectorlogic/vec2.hpp"
#include "../vectorlogic/vec3.hpp"
#include "../vectorlogic/vec4.hpp"
#include "../timing_decorator.hpp"
#include "../output/frame.hpp"
@@ -10,6 +11,8 @@
#include <vector>
#include <unordered_set>
const float EPSILON = 0.0000000000000000000000001;
class reverselookupassistantclasscausecppisdumb {
private:
std::unordered_map<size_t, Vec2> Positions;
@@ -223,8 +226,9 @@ public:
return it;
}
Grid2 noiseGenGrid(size_t minx,size_t miny, size_t maxx, size_t maxy
, float minChance = 0.1f, float maxChance = 1.0f, bool color = true) {
Grid2 noiseGenGrid(size_t minx,size_t miny, size_t maxx, size_t maxy, float minChance = 0.1f
, float maxChance = 1.0f, bool color = true, int noisemod = 42) {
TIME_FUNCTION;
std::cout << "generating a noise grid with the following: (" << minx << ", " << miny
<< ") by (" << maxx << ", " << maxy << ") " << "chance: " << minChance
<< " max: " << maxChance << " gen colors: " << color << std::endl;
@@ -233,21 +237,24 @@ public:
std::vector<float> sizes;
for (int x = minx; x < maxx; x++) {
for (int y = miny; y < maxy; y++) {
Vec2 pos = Vec2(x,y);
float alpha = noisegen.permute(Vec2(x,y));
float nx = (x+noisemod)/(maxx+EPSILON)/0.1;
float ny = (y+noisemod)/(maxy+EPSILON)/0.1;
Vec2 pos = Vec2(nx,ny);
float alpha = noisegen.permute(pos);
if (alpha > minChance && alpha < maxChance) {
std::cout << "generating at: " << pos.x << ", " << pos.y << ")" << std::endl;
if (color) {
float red = noisegen.permute(pos);
float green = noisegen.permute(pos);
float blue = noisegen.permute(pos);
Vec4 newc = Vec4(red,green,blue,alpha);
// float red = noisegen.noise(x,y,1000);
// float green = noisegen.noise(x,y,2000);
// float blue = noisegen.noise(x,y,3000);
float red = noisegen.permute(Vec2(nx*0.3,ny*0.3));
float green = noisegen.permute(Vec2(nx*0.6,ny*.06));
float blue = noisegen.permute(Vec2(nx*0.9,ny*0.9));
Vec4 newc = Vec4(red,green,blue,1.0);
colors.push_back(newc);
poses.push_back(pos);
poses.push_back(Vec2(x,y));
sizes.push_back(1.0f);
}
else {
Vec4 newc = Vec4(alpha,alpha,alpha,alpha);
} else {
Vec4 newc = Vec4(alpha,alpha,alpha,1.0);
colors.push_back(newc);
poses.push_back(pos);
sizes.push_back(1.0f);
@@ -255,6 +262,7 @@ public:
}
}
}
std::cout << "noise generated" << std::endl;
bulkAddObjects(poses,colors,sizes);
return *this;
}
@@ -558,19 +566,22 @@ public:
}
// Batch insertion
//#pragma omp parallel for
std::vector<size_t> newids;
for (size_t i = 0; i < poses.size(); ++i) {
size_t id = Positions.set(poses[i]);
Colors[id] = colors[i];
Sizes[id] = sizes[i];
spatialGrid.insert(id,poses[i]);
newids.push_back(id);
}
shrinkIfNeeded();
std::cout << "shrunk. " << std::endl;
updateNeighborMap();
std::cout << "neighbormap updated. " << std::endl;
usable = true;
return getAllIDs();
return newids;
}
//get all ids
@@ -955,7 +966,7 @@ public:
neighborMap.clear();
// For each object, find nearby neighbors
//#pragma omp parallel for
#pragma omp parallel for
for (const auto& [id1, pos1] : Positions) {
std::vector<size_t> neighbors;
float radiusSq = neighborRadius * neighborRadius;