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reveriejake/CSFastNoise.compute

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A set of compute shaders, hlsl shaders, and cs scripts that will generate and render a 3D surface given a set of noise parameters. The main feature being the 'FastNoiseGenerator.cs' script, which provides a single method call to generate 2D surface noise.
Raw
CSFastNoise.compute
/* Creates a 1D array of noise values when provided with a 2D width and noise params.
* To be used in conjunction with FastNoiseLite HLSL. https://github.com/Auburn/FastNoise
*
* Created by: Jacob Fletcher
*/
#pragma kernel CSNoiseArray
#include "Include/PicoFastNoiseUtils.hlsl"
StructuredBuffer<FastNoiseParams> NoiseParamsBuffer;
RWBuffer<float> ResultBuffer;
int _ArrayWidth;
float _SampleWidth;
float2 _SampleOrigin;
float2 _NoiseOrigin;
float2 GetWSPosition(int x, int y) {
float stride = _SampleWidth / (_ArrayWidth - 1.0);
float xWS = ((x * stride) + _SampleOrigin.x);
float yWS = ((y * stride) + _SampleOrigin.y);
return float2(xWS, yWS);
}
[numthreads(8,8,1)]
void CSNoiseArray(int3 id : SV_DispatchThreadID)
{
if (id.x >= _ArrayWidth || id.y >= _ArrayWidth)
return;
float2 pos = GetWSPosition(id.x, id.y);
float value = GetCompositeNoise01(pos, _NoiseOrigin, NoiseParamsBuffer);
ResultBuffer[id.x + id.y * _ArrayWidth] = value;
}
Raw
FastNoiseGenerator.cs
/* A Unity tool used in conjunction with FastNoiseLite HLSL. https://github.com/Auburn/FastNoise
*
* Created by: Jacob Fletcher
*
* This tool provides a simple, one method call, way to provide FastNoise parameters and receive an array of noise data.
* This data can be used to generate heightmaps, colormaps, or any other thing that may require an array of noise data.
*/
using UnityEngine;
namespace PicoGames.FastNoise
{
public class FastNoiseGenerator : MonoBehaviour
{
[SerializeField] private ComputeShader csFastNoise;
private int kernel;
private ComputeBuffer noiseParamsBuffer;
private ComputeBuffer noiseArrayBuffer;
private void Awake()
{
kernel = csFastNoise.FindKernel("CSNoiseArray");
}
private void OnDestroy()
{
noiseArrayBuffer?.Release();
noiseParamsBuffer?.Release();
}
public float[] GetNoiseArray(int arrayWidth, Vector2 noiseOrigin, Vector2 sampleOrigin, float sampleWidth, params FastNoiseParams[] noiseParams)
{
SetNoiseBuffers(noiseParams);
SetPatchParams(arrayWidth, noiseOrigin, sampleOrigin, sampleWidth);
float[] noiseArray = new float[arrayWidth * arrayWidth];
noiseArrayBuffer?.Release();
noiseArrayBuffer = new ComputeBuffer(noiseArray.Length, sizeof(float));
noiseArrayBuffer.SetData(noiseArray);
csFastNoise.SetBuffer(kernel, "ResultBuffer", noiseArrayBuffer);
csFastNoise.GetKernelThreadGroupSizes(kernel, out var xTG, out var yTG, out _);
csFastNoise.Dispatch(kernel, Mathf.CeilToInt(arrayWidth / (float)xTG), Mathf.CeilToInt(arrayWidth / (float)yTG), 1);
noiseArrayBuffer.GetData(noiseArray);
return noiseArray;
}
private void SetNoiseBuffers(params FastNoiseParams[] noiseParams)
{
if (noiseParamsBuffer == null || noiseParamsBuffer.count != noiseParams.Length)
{
noiseParamsBuffer?.Release();
noiseParamsBuffer = new ComputeBuffer(noiseParams.Length, FastNoiseLayer.FastNoiseParams.GetStride());
}
noiseParamsBuffer.SetData(noiseParams);
csFastNoise.SetBuffer(kernel, "NoiseParamsBuffer", noiseParamsBuffer);
}
private void SetPatchParams(int arrayWidth, Vector2 noiseOrigin, Vector2 sampleOrigin, float sampleWidth)
{
csFastNoise.SetInt("_ArrayWidth", arrayWidth);
csFastNoise.SetFloat("_SampleWidth", sampleWidth);
csFastNoise.SetFloats("_SampleOrigin", sampleOrigin.x, sampleOrigin.y);
csFastNoise.SetFloats("_NoiseOrigin", noiseOrigin.x, noiseOrigin.y);
}
}
#region FNL Enums
public enum NoiseType
{
OpenSimplex2,
OpenSimplex2S,
Cellular,
Perlin,
ValueCubic,
Value
}
public enum RotationType3D
{
None,
ImproveXYPlanes,
ImproveXZPlanes
}
public enum FractalType
{
None,
FBm,
Ridged,
PingPong,
DomainWarpProgressive,
DomainWarpIndependent
}
public enum CellularDistanceFunction
{
Euclidean,
EuclideanSq,
Manhattan,
Hybrid
}
public enum CellularReturnType
{
CellValue,
Distance,
Distance2,
Distance2Add,
Distance2Sub,
Distance2Mul,
Distance2Div
}
public enum DomainWarpType
{
OpenSimplex2,
OpenSimplex2Reduced,
BasicGrid
}
#endregion
[System.Serializable]
public struct FastNoiseParams
{
public int seed;
[Range(0, 1f)]
public float weight;
public Vector2 offset;
public NoiseType noiseType;
[Min(0)]
public float frequency;
public FractalType fractalType;
[Range(1, 20)]
public int octaves;
[Min(0)]
public float lacunarity;
[Min(0)]
public float gain;
public static int Stride()
{
return sizeof(float) * 6 + sizeof(int) * 4;
}
}
}
Raw
FastNoiseLite.hlsl
// MIT License
//
// Copyright(c) 2020 Jordan Peck ([email protected])
// Copyright(c) 2020 Contributors
//
// Permission is hereby granted, free of charge, to any person obtaining a copy
// of this software and associated documentation files(the "Software"), to deal
// in the Software without restriction, including without limitation the rights
// to use, copy, modify, merge, publish, distribute, sublicense, and / or sell
// copies of the Software, and to permit persons to whom the Software is
// furnished to do so, subject to the following conditions :
//
// The above copyright notice and this permission notice shall be included in all
// copies or substantial portions of the Software.
//
// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.IN NO EVENT SHALL THE
// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
// SOFTWARE.
//
// .'',;:cldxkO00KKXXNNWWWNNXKOkxdollcc::::::;:::ccllloooolllllllllooollc:,'... ...........',;cldxkO000Okxdlc::;;;,,;;;::cclllllll
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// ...',:loxO0KXNNNNNXXKK0Okxdolc::;::::::::;;;,,'''''.....''',;:clllllc:;,'............''''''''',;:loxO0KXNNNNNXK0Okxdollccccllodxxxxxxd
// ....';:ldkO0KXXXKK00Okxdolcc:;;;;;::cclllcc:;;,''..... ....',;clooddolcc:;;;;,,;;;;;::::;;;;;;:cloxk0KXNWWWWWWNXKK0Okxddoooddxxkkkkkxx
// .....';:ldxkOOOOOkxxdolcc:;;;,,,;;:cllooooolcc:;'... ..,:codxkkkxddooollloooooooollcc:::::clodkO0KXNWWWWWWNNXK00Okxxxxxxxxkkkkxxx
// . ....';:cloddddo___________,,,,;;:clooddddoolc:,... ..,:ldx__00OOOkkk___kkkkkkxxdollc::::cclodkO0KXXNNNNNNXXK0OOkxxxxxxxxxxxxddd
// .......',;:cccc:| |,,,;;:cclooddddoll:;'.. ..';cox| \KKK000| |KK00OOkxdocc___;::clldxxkO0KKKKK00Okkxdddddddddddddddoo
// .......'',,,,,''| ________|',,;;::cclloooooolc:;'......___:ldk| \KK000| |XKKK0Okxolc| |;;::cclodxxkkkkxxdoolllcclllooodddooooo
// ''......''''....| | ....'',,,,;;;::cclloooollc:;,''.'| |oxk| \OOO0| |KKK00Oxdoll|___|;;;;;::ccllllllcc::;;,,;;;:cclloooooooo
// ;;,''.......... | |_____',,;;;____:___cllo________.___| |___| \xkk| |KK_______ool___:::;________;;;_______...'',;;:ccclllloo
// c:;,''......... | |:::/ ' |lo/ | | \dx| |0/ \d| |cc/ |'/ \......',,;;:ccllo
// ol:;,'..........| _____|ll/ __ |o/ ______|____ ___| | \o| |/ ___ \| |o/ ______|/ ___ \ .......'',;:clo
// dlc;,...........| |::clooo| / | |x\___ \KXKKK0| |dol| |\ \| | | | | |d\___ \..| | / / ....',:cl
// xoc;'... .....'| |llodddd| \__| |_____\ \KKK0O| |lc:| |'\ | |___| | |_____\ \.| |_/___/... ...',;:c
// dlc;'... ....',;| |oddddddo\ | |Okkx| |::;| |..\ |\ /| | | \ |... ....',;:c
// ol:,'.......',:c|___|xxxddollc\_____,___|_________/ddoll|___|,,,|___|...\_____|:\ ______/l|___|_________/...\________|'........',;::cc
// c:;'.......';:codxxkkkkxxolc::;::clodxkOO0OOkkxdollc::;;,,''''',,,,''''''''''',,'''''',;:loxkkOOkxol:;,'''',,;:ccllcc:;,'''''',;::ccll
// ;,'.......',:codxkOO0OOkxdlc:;,,;;:cldxxkkxxdolc:;;,,''.....'',;;:::;;,,,'''''........,;cldkO0KK0Okdoc::;;::cloodddoolc:;;;;;::ccllooo
// .........',;:lodxOO0000Okdoc:,,',,;:clloddoolc:;,''.......'',;:clooollc:;;,,''.......',:ldkOKXNNXX0Oxdolllloddxxxxxxdolccccccllooodddd
// . .....';:cldxkO0000Okxol:;,''',,;::cccc:;,,'.......'',;:cldxxkkxxdolc:;;,'.......';coxOKXNWWWNXKOkxddddxxkkkkkkxdoollllooddxxxxkkk
// ....',;:codxkO000OOxdoc:;,''',,,;;;;,''.......',,;:clodkO00000Okxolc::;,,''..',;:ldxOKXNWWWNNK0OkkkkkkkkkkkxxddooooodxxkOOOOO000
// ....',;;clodxkkOOOkkdolc:;,,,,,,,,'..........,;:clodxkO0KKXKK0Okxdolcc::;;,,,;;:codkO0XXNNNNXKK0OOOOOkkkkxxdoollloodxkO0KKKXXXXX
//
// VERSION: 1.0.1
// https://github.com/Auburn/FastNoise
// Switch between using floats or doubles for input position
typedef float FNLfloat;
//typedef double FNLfloat;
// Noise Type
#define FNL_NOISE_OPENSIMPLEX2 0
#define FNL_NOISE_OPENSIMPLEX2S 1
#define FNL_NOISE_CELLULAR 2
#define FNL_NOISE_PERLIN 3
#define FNL_NOISE_VALUE_CUBIC 4
#define FNL_NOISE_VALUE 5
typedef int fnl_noise_type;
// Rotation types
#define FNL_ROTATION_NONE 0
#define FNL_ROTATION_IMPROVE_XY_PLANES 1
#define FNL_ROTATION_IMPROVE_XZ_PLANES 2
typedef int fnl_rotation_type_3d;
// Fractal types
#define FNL_FRACTAL_NONE 0
#define FNL_FRACTAL_FBM 1
#define FNL_FRACTAL_RIDGED 2
#define FNL_FRACTAL_PINGPONG 3
#define FNL_FRACTAL_DOMAIN_WARP_PROGRESSIVE 4
#define FNL_FRACTAL_DOMAIN_WARP_INDEPENDENT 5
typedef int fnl_fractal_type;
#define FNL_CELLULAR_DISTANCE_EUCLIDEAN 0
#define FNL_CELLULAR_DISTANCE_EUCLIDEANSQ 1
#define FNL_CELLULAR_DISTANCE_MANHATTAN 2
#define FNL_CELLULAR_DISTANCE_HYBRID 3
typedef int fnl_cellular_distance_func;
#define FNL_CELLULAR_RETURN_TYPE_CELLVALUE 0
#define FNL_CELLULAR_RETURN_TYPE_DISTANCE 1
#define FNL_CELLULAR_RETURN_TYPE_DISTANCE2 2
#define FNL_CELLULAR_RETURN_TYPE_DISTANCE2ADD 3
#define FNL_CELLULAR_RETURN_TYPE_DISTANCE2SUB 4
#define FNL_CELLULAR_RETURN_TYPE_DISTANCE2MUL 5
#define FNL_CELLULAR_RETURN_TYPE_DISTANCE2DIV 6
typedef int fnl_cellular_return_type;
#define FNL_DOMAIN_WARP_OPENSIMPLEX2 0
#define FNL_DOMAIN_WARP_OPENSIMPLEX2_REDUCED 1
#define FNL_DOMAIN_WARP_BASICGRID 2
typedef int fnl_domain_warp_type;
// Removes [0x80004005 - unknown error] 'internal error: no storage type for block output'
#if UNITY_VERSION
#define FNL_FLATTEN [flatten]
#define FNL_UNROLL [unroll(1)]
#else
#define FNL_FLATTEN
#define FNL_UNROLL
#endif
/**
* Structure containing entire noise system state.
* @note Must only be created using fnlCreateState(optional: seed). To ensure defaults are set.
*/
struct fnl_state
{
/**
* Seed used for all noise types.
* @remark Default: 1337
*/
int seed;
/**
* The frequency for all noise types.
* @remark Default: 0.01
*/
float frequency;
/**
* The noise algorithm to be used by GetNoise(...).
* @remark Default: FNL_NOISE_OPENSIMPLEX2
*/
fnl_noise_type noise_type;
/**
* Sets noise rotation type for 3D.
* @remark Default: FNL_ROTATION_NONE
*/
fnl_rotation_type_3d rotation_type_3d;
/**
* The method used for combining octaves for all fractal noise types.
* @remark Default: None
* @remark FNL_FRACTAL_DOMAIN_WARP_... only effects fnlDomainWarp...
*/
fnl_fractal_type fractal_type;
/**
* The octave count for all fractal noise types.
* @remark Default: 3
*/
int octaves;
/**
* The octave lacunarity for all fractal noise types.
* @remark Default: 2.0
*/
float lacunarity;
/**
* The octave gain for all fractal noise types.
* @remark Default: 0.5
*/
float gain;
/**
* The octave weighting for all none Domaain Warp fractal types.
* @remark Default: 0.0
* @remark
*/
float weighted_strength;
/**
* The strength of the fractal ping pong effect.
* @remark Default: 2.0
*/
float ping_pong_strength;
/**
* The distance function used in cellular noise calculations.
* @remark Default: FNL_CELLULAR_FUNC_DISTANCE
*/
fnl_cellular_distance_func cellular_distance_func;
/**
* The cellular return type from cellular noise calculations.
* @remark Default: FNL_CELLULAR_RETURN_TYPE_EUCLIEANSQ
*/
fnl_cellular_return_type cellular_return_type;
/**
* The maximum distance a cellular point can move from it's grid position.
* @remark Default: 1.0
* @note Setting this higher than 1 will cause artifacts.
*/
float cellular_jitter_mod;
/**
* The warp algorithm when using fnlDomainWarp...
* @remark Default: OpenSimplex2
*/
fnl_domain_warp_type domain_warp_type;
/**
* The maximum warp distance from original position when using fnlDomainWarp...
* @remark Default: 1.0
*/
float domain_warp_amp;
};
/**
* Creates a noise state with default values.
* @param seed Optionally set the state seed.
*/
fnl_state fnlCreateState(int seed = 1337);
/**
* 2D noise at given position using the state settings
* @returns Noise output bounded between -1 and 1.
*/
float fnlGetNoise2D(fnl_state state, FNLfloat x, FNLfloat y);
/**
* 3D noise at given position using the state settings
* @returns Noise output bounded between -1 and 1.
*/
float fnlGetNoise3D(fnl_state state, FNLfloat x, FNLfloat y, FNLfloat z);
/**
* 2D warps the input position using current domain warp settings.
*
* Example usage with fnlGetNoise2D:
* ```
* fnlDomainWarp2D(state, x, y);
* noise = fnlGetNoise2D(state, x, y);
* ```
*/
void fnlDomainWarp2D(fnl_state state, inout FNLfloat x, inout FNLfloat y);
/**
* 3D warps the input position using current domain warp settings.
*
* Example usage with fnlGetNoise3D:
* ```
* fnlDomainWarp3D(state, x, y, z);
* noise = fnlGetNoise3D(state, x, y, z);
* ```
*/
void fnlDomainWarp3D(fnl_state state, inout FNLfloat x, inout FNLfloat y, inout FNLfloat z);
// From here on, this is private implementation
// Constants
static const float GRADIENTS_2D[] =
{
0.130526192220052f, 0.99144486137381f, 0.38268343236509f, 0.923879532511287f, 0.608761429008721f, 0.793353340291235f, 0.793353340291235f, 0.608761429008721f,
0.923879532511287f, 0.38268343236509f, 0.99144486137381f, 0.130526192220051f, 0.99144486137381f, -0.130526192220051f, 0.923879532511287f, -0.38268343236509f,
0.793353340291235f, -0.60876142900872f, 0.608761429008721f, -0.793353340291235f, 0.38268343236509f, -0.923879532511287f, 0.130526192220052f, -0.99144486137381f,
-0.130526192220052f, -0.99144486137381f, -0.38268343236509f, -0.923879532511287f, -0.608761429008721f, -0.793353340291235f, -0.793353340291235f, -0.608761429008721f,
-0.923879532511287f, -0.38268343236509f, -0.99144486137381f, -0.130526192220052f, -0.99144486137381f, 0.130526192220051f, -0.923879532511287f, 0.38268343236509f,
-0.793353340291235f, 0.608761429008721f, -0.608761429008721f, 0.793353340291235f, -0.38268343236509f, 0.923879532511287f, -0.130526192220052f, 0.99144486137381f,
0.130526192220052f, 0.99144486137381f, 0.38268343236509f, 0.923879532511287f, 0.608761429008721f, 0.793353340291235f, 0.793353340291235f, 0.608761429008721f,
0.923879532511287f, 0.38268343236509f, 0.99144486137381f, 0.130526192220051f, 0.99144486137381f, -0.130526192220051f, 0.923879532511287f, -0.38268343236509f,
0.793353340291235f, -0.60876142900872f, 0.608761429008721f, -0.793353340291235f, 0.38268343236509f, -0.923879532511287f, 0.130526192220052f, -0.99144486137381f,
-0.130526192220052f, -0.99144486137381f, -0.38268343236509f, -0.923879532511287f, -0.608761429008721f, -0.793353340291235f, -0.793353340291235f, -0.608761429008721f,
-0.923879532511287f, -0.38268343236509f, -0.99144486137381f, -0.130526192220052f, -0.99144486137381f, 0.130526192220051f, -0.923879532511287f, 0.38268343236509f,
-0.793353340291235f, 0.608761429008721f, -0.608761429008721f, 0.793353340291235f, -0.38268343236509f, 0.923879532511287f, -0.130526192220052f, 0.99144486137381f,
0.130526192220052f, 0.99144486137381f, 0.38268343236509f, 0.923879532511287f, 0.608761429008721f, 0.793353340291235f, 0.793353340291235f, 0.608761429008721f,
0.923879532511287f, 0.38268343236509f, 0.99144486137381f, 0.130526192220051f, 0.99144486137381f, -0.130526192220051f, 0.923879532511287f, -0.38268343236509f,
0.793353340291235f, -0.60876142900872f, 0.608761429008721f, -0.793353340291235f, 0.38268343236509f, -0.923879532511287f, 0.130526192220052f, -0.99144486137381f,
-0.130526192220052f, -0.99144486137381f, -0.38268343236509f, -0.923879532511287f, -0.608761429008721f, -0.793353340291235f, -0.793353340291235f, -0.608761429008721f,
-0.923879532511287f, -0.38268343236509f, -0.99144486137381f, -0.130526192220052f, -0.99144486137381f, 0.130526192220051f, -0.923879532511287f, 0.38268343236509f,
-0.793353340291235f, 0.608761429008721f, -0.608761429008721f, 0.793353340291235f, -0.38268343236509f, 0.923879532511287f, -0.130526192220052f, 0.99144486137381f,
0.130526192220052f, 0.99144486137381f, 0.38268343236509f, 0.923879532511287f, 0.608761429008721f, 0.793353340291235f, 0.793353340291235f, 0.608761429008721f,
0.923879532511287f, 0.38268343236509f, 0.99144486137381f, 0.130526192220051f, 0.99144486137381f, -0.130526192220051f, 0.923879532511287f, -0.38268343236509f,
0.793353340291235f, -0.60876142900872f, 0.608761429008721f, -0.793353340291235f, 0.38268343236509f, -0.923879532511287f, 0.130526192220052f, -0.99144486137381f,
-0.130526192220052f, -0.99144486137381f, -0.38268343236509f, -0.923879532511287f, -0.608761429008721f, -0.793353340291235f, -0.793353340291235f, -0.608761429008721f,
-0.923879532511287f, -0.38268343236509f, -0.99144486137381f, -0.130526192220052f, -0.99144486137381f, 0.130526192220051f, -0.923879532511287f, 0.38268343236509f,
-0.793353340291235f, 0.608761429008721f, -0.608761429008721f, 0.793353340291235f, -0.38268343236509f, 0.923879532511287f, -0.130526192220052f, 0.99144486137381f,
0.130526192220052f, 0.99144486137381f, 0.38268343236509f, 0.923879532511287f, 0.608761429008721f, 0.793353340291235f, 0.793353340291235f, 0.608761429008721f,
0.923879532511287f, 0.38268343236509f, 0.99144486137381f, 0.130526192220051f, 0.99144486137381f, -0.130526192220051f, 0.923879532511287f, -0.38268343236509f,
0.793353340291235f, -0.60876142900872f, 0.608761429008721f, -0.793353340291235f, 0.38268343236509f, -0.923879532511287f, 0.130526192220052f, -0.99144486137381f,
-0.130526192220052f, -0.99144486137381f, -0.38268343236509f, -0.923879532511287f, -0.608761429008721f, -0.793353340291235f, -0.793353340291235f, -0.608761429008721f,
-0.923879532511287f, -0.38268343236509f, -0.99144486137381f, -0.130526192220052f, -0.99144486137381f, 0.130526192220051f, -0.923879532511287f, 0.38268343236509f,
-0.793353340291235f, 0.608761429008721f, -0.608761429008721f, 0.793353340291235f, -0.38268343236509f, 0.923879532511287f, -0.130526192220052f, 0.99144486137381f,
0.38268343236509f, 0.923879532511287f, 0.923879532511287f, 0.38268343236509f, 0.923879532511287f, -0.38268343236509f, 0.38268343236509f, -0.923879532511287f,
-0.38268343236509f, -0.923879532511287f, -0.923879532511287f, -0.38268343236509f, -0.923879532511287f, 0.38268343236509f, -0.38268343236509f, 0.923879532511287f,
};
static const float RAND_VECS_2D[] =
{
-0.2700222198f, -0.9628540911f, 0.3863092627f, -0.9223693152f, 0.04444859006f, -0.999011673f, -0.5992523158f, -0.8005602176f, -0.7819280288f, 0.6233687174f, 0.9464672271f, 0.3227999196f, -0.6514146797f, -0.7587218957f, 0.9378472289f, 0.347048376f,
-0.8497875957f, -0.5271252623f, -0.879042592f, 0.4767432447f, -0.892300288f, -0.4514423508f, -0.379844434f, -0.9250503802f, -0.9951650832f, 0.0982163789f, 0.7724397808f, -0.6350880136f, 0.7573283322f, -0.6530343002f, -0.9928004525f, -0.119780055f,
-0.0532665713f, 0.9985803285f, 0.9754253726f, -0.2203300762f, -0.7665018163f, 0.6422421394f, 0.991636706f, 0.1290606184f, -0.994696838f, 0.1028503788f, -0.5379205513f, -0.84299554f, 0.5022815471f, -0.8647041387f, 0.4559821461f, -0.8899889226f,
-0.8659131224f, -0.5001944266f, 0.0879458407f, -0.9961252577f, -0.5051684983f, 0.8630207346f, 0.7753185226f, -0.6315704146f, -0.6921944612f, 0.7217110418f, -0.5191659449f, -0.8546734591f, 0.8978622882f, -0.4402764035f, -0.1706774107f, 0.9853269617f,
-0.9353430106f, -0.3537420705f, -0.9992404798f, 0.03896746794f, -0.2882064021f, -0.9575683108f, -0.9663811329f, 0.2571137995f, -0.8759714238f, -0.4823630009f, -0.8303123018f, -0.5572983775f, 0.05110133755f, -0.9986934731f, -0.8558373281f, -0.5172450752f,
0.09887025282f, 0.9951003332f, 0.9189016087f, 0.3944867976f, -0.2439375892f, -0.9697909324f, -0.8121409387f, -0.5834613061f, -0.9910431363f, 0.1335421355f, 0.8492423985f, -0.5280031709f, -0.9717838994f, -0.2358729591f, 0.9949457207f, 0.1004142068f,
0.6241065508f, -0.7813392434f, 0.662910307f, 0.7486988212f, -0.7197418176f, 0.6942418282f, -0.8143370775f, -0.5803922158f, 0.104521054f, -0.9945226741f, -0.1065926113f, -0.9943027784f, 0.445799684f, -0.8951327509f, 0.105547406f, 0.9944142724f,
-0.992790267f, 0.1198644477f, -0.8334366408f, 0.552615025f, 0.9115561563f, -0.4111755999f, 0.8285544909f, -0.5599084351f, 0.7217097654f, -0.6921957921f, 0.4940492677f, -0.8694339084f, -0.3652321272f, -0.9309164803f, -0.9696606758f, 0.2444548501f,
0.08925509731f, -0.996008799f, 0.5354071276f, -0.8445941083f, -0.1053576186f, 0.9944343981f, -0.9890284586f, 0.1477251101f, 0.004856104961f, 0.9999882091f, 0.9885598478f, 0.1508291331f, 0.9286129562f, -0.3710498316f, -0.5832393863f, -0.8123003252f,
0.3015207509f, 0.9534596146f, -0.9575110528f, 0.2883965738f, 0.9715802154f, -0.2367105511f, 0.229981792f, 0.9731949318f, 0.955763816f, -0.2941352207f, 0.740956116f, 0.6715534485f, -0.9971513787f, -0.07542630764f, 0.6905710663f, -0.7232645452f,
-0.290713703f, -0.9568100872f, 0.5912777791f, -0.8064679708f, -0.9454592212f, -0.325740481f, 0.6664455681f, 0.74555369f, 0.6236134912f, 0.7817328275f, 0.9126993851f, -0.4086316587f, -0.8191762011f, 0.5735419353f, -0.8812745759f, -0.4726046147f,
0.9953313627f, 0.09651672651f, 0.9855650846f, -0.1692969699f, -0.8495980887f, 0.5274306472f, 0.6174853946f, -0.7865823463f, 0.8508156371f, 0.52546432f, 0.9985032451f, -0.05469249926f, 0.1971371563f, -0.9803759185f, 0.6607855748f, -0.7505747292f,
-0.03097494063f, 0.9995201614f, -0.6731660801f, 0.739491331f, -0.7195018362f, -0.6944905383f, 0.9727511689f, 0.2318515979f, 0.9997059088f, -0.0242506907f, 0.4421787429f, -0.8969269532f, 0.9981350961f, -0.061043673f, -0.9173660799f, -0.3980445648f,
-0.8150056635f, -0.5794529907f, -0.8789331304f, 0.4769450202f, 0.0158605829f, 0.999874213f, -0.8095464474f, 0.5870558317f, -0.9165898907f, -0.3998286786f, -0.8023542565f, 0.5968480938f, -0.5176737917f, 0.8555780767f, -0.8154407307f, -0.5788405779f,
0.4022010347f, -0.9155513791f, -0.9052556868f, -0.4248672045f, 0.7317445619f, 0.6815789728f, -0.5647632201f, -0.8252529947f, -0.8403276335f, -0.5420788397f, -0.9314281527f, 0.363925262f, 0.5238198472f, 0.8518290719f, 0.7432803869f, -0.6689800195f,
-0.985371561f, -0.1704197369f, 0.4601468731f, 0.88784281f, 0.825855404f, 0.5638819483f, 0.6182366099f, 0.7859920446f, 0.8331502863f, -0.553046653f, 0.1500307506f, 0.9886813308f, -0.662330369f, -0.7492119075f, -0.668598664f, 0.743623444f,
0.7025606278f, 0.7116238924f, -0.5419389763f, -0.8404178401f, -0.3388616456f, 0.9408362159f, 0.8331530315f, 0.5530425174f, -0.2989720662f, -0.9542618632f, 0.2638522993f, 0.9645630949f, 0.124108739f, -0.9922686234f, -0.7282649308f, -0.6852956957f,
0.6962500149f, 0.7177993569f, -0.9183535368f, 0.3957610156f, -0.6326102274f, -0.7744703352f, -0.9331891859f, -0.359385508f, -0.1153779357f, -0.9933216659f, 0.9514974788f, -0.3076565421f, -0.08987977445f, -0.9959526224f, 0.6678496916f, 0.7442961705f,
0.7952400393f, -0.6062947138f, -0.6462007402f, -0.7631674805f, -0.2733598753f, 0.9619118351f, 0.9669590226f, -0.254931851f, -0.9792894595f, 0.2024651934f, -0.5369502995f, -0.8436138784f, -0.270036471f, -0.9628500944f, -0.6400277131f, 0.7683518247f,
-0.7854537493f, -0.6189203566f, 0.06005905383f, -0.9981948257f, -0.02455770378f, 0.9996984141f, -0.65983623f, 0.751409442f, -0.6253894466f, -0.7803127835f, -0.6210408851f, -0.7837781695f, 0.8348888491f, 0.5504185768f, -0.1592275245f, 0.9872419133f,
0.8367622488f, 0.5475663786f, -0.8675753916f, -0.4973056806f, -0.2022662628f, -0.9793305667f, 0.9399189937f, 0.3413975472f, 0.9877404807f, -0.1561049093f, -0.9034455656f, 0.4287028224f, 0.1269804218f, -0.9919052235f, -0.3819600854f, 0.924178821f,
0.9754625894f, 0.2201652486f, -0.3204015856f, -0.9472818081f, -0.9874760884f, 0.1577687387f, 0.02535348474f, -0.9996785487f, 0.4835130794f, -0.8753371362f, -0.2850799925f, -0.9585037287f, -0.06805516006f, -0.99768156f, -0.7885244045f, -0.6150034663f,
0.3185392127f, -0.9479096845f, 0.8880043089f, 0.4598351306f, 0.6476921488f, -0.7619021462f, 0.9820241299f, 0.1887554194f, 0.9357275128f, -0.3527237187f, -0.8894895414f, 0.4569555293f, 0.7922791302f, 0.6101588153f, 0.7483818261f, 0.6632681526f,
-0.7288929755f, -0.6846276581f, 0.8729032783f, -0.4878932944f, 0.8288345784f, 0.5594937369f, 0.08074567077f, 0.9967347374f, 0.9799148216f, -0.1994165048f, -0.580730673f, -0.8140957471f, -0.4700049791f, -0.8826637636f, 0.2409492979f, 0.9705377045f,
0.9437816757f, -0.3305694308f, -0.8927998638f, -0.4504535528f, -0.8069622304f, 0.5906030467f, 0.06258973166f, 0.9980393407f, -0.9312597469f, 0.3643559849f, 0.5777449785f, 0.8162173362f, -0.3360095855f, -0.941858566f, 0.697932075f, -0.7161639607f,
-0.002008157227f, -0.9999979837f, -0.1827294312f, -0.9831632392f, -0.6523911722f, 0.7578824173f, -0.4302626911f, -0.9027037258f, -0.9985126289f, -0.05452091251f, -0.01028102172f, -0.9999471489f, -0.4946071129f, 0.8691166802f, -0.2999350194f, 0.9539596344f,
0.8165471961f, 0.5772786819f, 0.2697460475f, 0.962931498f, -0.7306287391f, -0.6827749597f, -0.7590952064f, -0.6509796216f, -0.907053853f, 0.4210146171f, -0.5104861064f, -0.8598860013f, 0.8613350597f, 0.5080373165f, 0.5007881595f, -0.8655698812f,
-0.654158152f, 0.7563577938f, -0.8382755311f, -0.545246856f, 0.6940070834f, 0.7199681717f, 0.06950936031f, 0.9975812994f, 0.1702942185f, -0.9853932612f, 0.2695973274f, 0.9629731466f, 0.5519612192f, -0.8338697815f, 0.225657487f, -0.9742067022f,
0.4215262855f, -0.9068161835f, 0.4881873305f, -0.8727388672f, -0.3683854996f, -0.9296731273f, -0.9825390578f, 0.1860564427f, 0.81256471f, 0.5828709909f, 0.3196460933f, -0.9475370046f, 0.9570913859f, 0.2897862643f, -0.6876655497f, -0.7260276109f,
-0.9988770922f, -0.047376731f, -0.1250179027f, 0.992154486f, -0.8280133617f, 0.560708367f, 0.9324863769f, -0.3612051451f, 0.6394653183f, 0.7688199442f, -0.01623847064f, -0.9998681473f, -0.9955014666f, -0.09474613458f, -0.81453315f, 0.580117012f,
0.4037327978f, -0.9148769469f, 0.9944263371f, 0.1054336766f, -0.1624711654f, 0.9867132919f, -0.9949487814f, -0.100383875f, -0.6995302564f, 0.7146029809f, 0.5263414922f, -0.85027327f, -0.5395221479f, 0.841971408f, 0.6579370318f, 0.7530729462f,
0.01426758847f, -0.9998982128f, -0.6734383991f, 0.7392433447f, 0.639412098f, -0.7688642071f, 0.9211571421f, 0.3891908523f, -0.146637214f, -0.9891903394f, -0.782318098f, 0.6228791163f, -0.5039610839f, -0.8637263605f, -0.7743120191f, -0.6328039957f,
};
static const float GRADIENTS_3D[] =
{
0, 1, 1, 0, 0,-1, 1, 0, 0, 1,-1, 0, 0,-1,-1, 0,
1, 0, 1, 0, -1, 0, 1, 0, 1, 0,-1, 0, -1, 0,-1, 0,
1, 1, 0, 0, -1, 1, 0, 0, 1,-1, 0, 0, -1,-1, 0, 0,
0, 1, 1, 0, 0,-1, 1, 0, 0, 1,-1, 0, 0,-1,-1, 0,
1, 0, 1, 0, -1, 0, 1, 0, 1, 0,-1, 0, -1, 0,-1, 0,
1, 1, 0, 0, -1, 1, 0, 0, 1,-1, 0, 0, -1,-1, 0, 0,
0, 1, 1, 0, 0,-1, 1, 0, 0, 1,-1, 0, 0,-1,-1, 0,
1, 0, 1, 0, -1, 0, 1, 0, 1, 0,-1, 0, -1, 0,-1, 0,
1, 1, 0, 0, -1, 1, 0, 0, 1,-1, 0, 0, -1,-1, 0, 0,
0, 1, 1, 0, 0,-1, 1, 0, 0, 1,-1, 0, 0,-1,-1, 0,
1, 0, 1, 0, -1, 0, 1, 0, 1, 0,-1, 0, -1, 0,-1, 0,
1, 1, 0, 0, -1, 1, 0, 0, 1,-1, 0, 0, -1,-1, 0, 0,
0, 1, 1, 0, 0,-1, 1, 0, 0, 1,-1, 0, 0,-1,-1, 0,
1, 0, 1, 0, -1, 0, 1, 0, 1, 0,-1, 0, -1, 0,-1, 0,
1, 1, 0, 0, -1, 1, 0, 0, 1,-1, 0, 0, -1,-1, 0, 0,
1, 1, 0, 0, 0,-1, 1, 0, -1, 1, 0, 0, 0,-1,-1, 0
};
static const float RAND_VECS_3D[] =
{
-0.7292736885f, -0.6618439697f, 0.1735581948f, 0, 0.790292081f, -0.5480887466f, -0.2739291014f, 0, 0.7217578935f, 0.6226212466f, -0.3023380997f, 0, 0.565683137f, -0.8208298145f, -0.0790000257f, 0, 0.760049034f, -0.5555979497f, -0.3370999617f, 0, 0.3713945616f, 0.5011264475f, 0.7816254623f, 0, -0.1277062463f, -0.4254438999f, -0.8959289049f, 0, -0.2881560924f, -0.5815838982f, 0.7607405838f, 0,
0.5849561111f, -0.662820239f, -0.4674352136f, 0, 0.3307171178f, 0.0391653737f, 0.94291689f, 0, 0.8712121778f, -0.4113374369f, -0.2679381538f, 0, 0.580981015f, 0.7021915846f, 0.4115677815f, 0, 0.503756873f, 0.6330056931f, -0.5878203852f, 0, 0.4493712205f, 0.601390195f, 0.6606022552f, 0, -0.6878403724f, 0.09018890807f, -0.7202371714f, 0, -0.5958956522f, -0.6469350577f, 0.475797649f, 0,
-0.5127052122f, 0.1946921978f, -0.8361987284f, 0, -0.9911507142f, -0.05410276466f, -0.1212153153f, 0, -0.2149721042f, 0.9720882117f, -0.09397607749f, 0, -0.7518650936f, -0.5428057603f, 0.3742469607f, 0, 0.5237068895f, 0.8516377189f, -0.02107817834f, 0, 0.6333504779f, 0.1926167129f, -0.7495104896f, 0, -0.06788241606f, 0.3998305789f, 0.9140719259f, 0, -0.5538628599f, -0.4729896695f, -0.6852128902f, 0,
-0.7261455366f, -0.5911990757f, 0.3509933228f, 0, -0.9229274737f, -0.1782808786f, 0.3412049336f, 0, -0.6968815002f, 0.6511274338f, 0.3006480328f, 0, 0.9608044783f, -0.2098363234f, -0.1811724921f, 0, 0.06817146062f, -0.9743405129f, 0.2145069156f, 0, -0.3577285196f, -0.6697087264f, -0.6507845481f, 0, -0.1868621131f, 0.7648617052f, -0.6164974636f, 0, -0.6541697588f, 0.3967914832f, 0.6439087246f, 0,
0.6993340405f, -0.6164538506f, 0.3618239211f, 0, -0.1546665739f, 0.6291283928f, 0.7617583057f, 0, -0.6841612949f, -0.2580482182f, -0.6821542638f, 0, 0.5383980957f, 0.4258654885f, 0.7271630328f, 0, -0.5026987823f, -0.7939832935f, -0.3418836993f, 0, 0.3202971715f, 0.2834415347f, 0.9039195862f, 0, 0.8683227101f, -0.0003762656404f, -0.4959995258f, 0, 0.791120031f, -0.08511045745f, 0.6057105799f, 0,
-0.04011016052f, -0.4397248749f, 0.8972364289f, 0, 0.9145119872f, 0.3579346169f, -0.1885487608f, 0, -0.9612039066f, -0.2756484276f, 0.01024666929f, 0, 0.6510361721f, -0.2877799159f, -0.7023778346f, 0, -0.2041786351f, 0.7365237271f, 0.644859585f, 0, -0.7718263711f, 0.3790626912f, 0.5104855816f, 0, -0.3060082741f, -0.7692987727f, 0.5608371729f, 0, 0.454007341f, -0.5024843065f, 0.7357899537f, 0,
0.4816795475f, 0.6021208291f, -0.6367380315f, 0, 0.6961980369f, -0.3222197429f, 0.641469197f, 0, -0.6532160499f, -0.6781148932f, 0.3368515753f, 0, 0.5089301236f, -0.6154662304f, -0.6018234363f, 0, -0.1635919754f, -0.9133604627f, -0.372840892f, 0, 0.52408019f, -0.8437664109f, 0.1157505864f, 0, 0.5902587356f, 0.4983817807f, -0.6349883666f, 0, 0.5863227872f, 0.494764745f, 0.6414307729f, 0,
0.6779335087f, 0.2341345225f, 0.6968408593f, 0, 0.7177054546f, -0.6858979348f, 0.120178631f, 0, -0.5328819713f, -0.5205125012f, 0.6671608058f, 0, -0.8654874251f, -0.0700727088f, -0.4960053754f, 0, -0.2861810166f, 0.7952089234f, 0.5345495242f, 0, -0.04849529634f, 0.9810836427f, -0.1874115585f, 0, -0.6358521667f, 0.6058348682f, 0.4781800233f, 0, 0.6254794696f, -0.2861619734f, 0.7258696564f, 0,
-0.2585259868f, 0.5061949264f, -0.8227581726f, 0, 0.02136306781f, 0.5064016808f, -0.8620330371f, 0, 0.200111773f, 0.8599263484f, 0.4695550591f, 0, 0.4743561372f, 0.6014985084f, -0.6427953014f, 0, 0.6622993731f, -0.5202474575f, -0.5391679918f, 0, 0.08084972818f, -0.6532720452f, 0.7527940996f, 0, -0.6893687501f, 0.0592860349f, 0.7219805347f, 0, -0.1121887082f, -0.9673185067f, 0.2273952515f, 0,
0.7344116094f, 0.5979668656f, -0.3210532909f, 0, 0.5789393465f, -0.2488849713f, 0.7764570201f, 0, 0.6988182827f, 0.3557169806f, -0.6205791146f, 0, -0.8636845529f, -0.2748771249f, -0.4224826141f, 0, -0.4247027957f, -0.4640880967f, 0.777335046f, 0, 0.5257722489f, -0.8427017621f, 0.1158329937f, 0, 0.9343830603f, 0.316302472f, -0.1639543925f, 0, -0.1016836419f, -0.8057303073f, -0.5834887393f, 0,
-0.6529238969f, 0.50602126f, -0.5635892736f, 0, -0.2465286165f, -0.9668205684f, -0.06694497494f, 0, -0.9776897119f, -0.2099250524f, -0.007368825344f, 0, 0.7736893337f, 0.5734244712f, 0.2694238123f, 0, -0.6095087895f, 0.4995678998f, 0.6155736747f, 0, 0.5794535482f, 0.7434546771f, 0.3339292269f, 0, -0.8226211154f, 0.08142581855f, 0.5627293636f, 0, -0.510385483f, 0.4703667658f, 0.7199039967f, 0,
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};
// Utilities
static inline float _fnlFastMin(float x, float y) { return x < y ? x : y; }
static inline float _fnlFastMax(float x, float y) { return x > y ? x : y; }
static inline float _fnlFastAbs(float f) { return f < 0 ? -f : f; }
static inline float _fnlFastSqrt(float a) { return sqrt(a); }
static inline int _fnlFastFloor(FNLfloat f) { return (f >= 0 ? (int)f : (int)f - 1); }
static inline int _fnlFastRound(FNLfloat f) { return (f >= 0) ? (int)(f + 0.5f) : (int)(f - 0.5f); }
static inline float _fnlLerp(float a, float b, float t) { return a + t * (b - a); }
static inline float _fnlInterpHermite(float t) { return t * t * (3 - 2 * t); }
static inline float _fnlInterpQuintic(float t) { return t * t * t * (t * (t * 6 - 15) + 10); }
static inline float _fnlCubicLerp(float a, float b, float c, float d, float t)
{
float p = (d - c) - (a - b);
return t * t * t * p + t * t * ((a - b) - p) + t * (c - a) + b;
}
static inline float _fnlPingPong(float t)
{
t -= (int)(t * 0.5f) * 2;
return t < 1 ? t : 2 - t;
}
static float _fnlCalculateFractalBounding(fnl_state state)
{
float gain = _fnlFastAbs(state.gain);
float amp = gain;
float ampFractal = 1.0f;
for (int i = 1; i < state.octaves; i++)
{
ampFractal += amp;
amp *= gain;
}
return 1.0f / ampFractal;
}
// Hashing
static const int PRIME_X = 501125321;
static const int PRIME_Y = 1136930381;
static const int PRIME_Z = 1720413743;
static inline int _fnlHash2D(int seed, int xPrimed, int yPrimed)
{
int hash = seed ^ xPrimed ^ yPrimed;
hash *= 0x27d4eb2d;
return hash;
}
static inline int _fnlHash3D(int seed, int xPrimed, int yPrimed, int zPrimed)
{
int hash = seed ^ xPrimed ^ yPrimed ^ zPrimed;
hash *= 0x27d4eb2d;
return hash;
}
static inline float _fnlValCoord2D(int seed, int xPrimed, int yPrimed)
{
int hash = _fnlHash2D(seed, xPrimed, yPrimed);
hash *= hash;
hash ^= hash << 19;
return hash * (1 / 2147483648.0f);
}
static inline float _fnlValCoord3D(int seed, int xPrimed, int yPrimed, int zPrimed)
{
int hash = _fnlHash3D(seed, xPrimed, yPrimed, zPrimed);
hash *= hash;
hash ^= hash << 19;
return hash * (1 / 2147483648.0f);
}
static inline float _fnlGradCoord2D(int seed, int xPrimed, int yPrimed, float xd, float yd)
{
int hash = _fnlHash2D(seed, xPrimed, yPrimed);
hash ^= hash >> 15;
hash &= 127 << 1;
return xd * GRADIENTS_2D[hash] + yd * GRADIENTS_2D[hash | 1];
}
static inline float _fnlGradCoord3D(int seed, int xPrimed, int yPrimed, int zPrimed, float xd, float yd, float zd)
{
int hash = _fnlHash3D(seed, xPrimed, yPrimed, zPrimed);
hash ^= hash >> 15;
hash &= 63 << 2;
return xd * GRADIENTS_3D[hash] + yd * GRADIENTS_3D[hash | 1] + zd * GRADIENTS_3D[hash | 2];
}
static inline void _fnlGradCoordOut2D(int seed, int xPrimed, int yPrimed, out float xo, out float yo)
{
int hash = _fnlHash2D(seed, xPrimed, yPrimed) & (255 << 1);
xo = RAND_VECS_2D[hash];
yo = RAND_VECS_2D[hash | 1];
}
static inline void _fnlGradCoordOut3D(int seed, int xPrimed, int yPrimed, int zPrimed, out float xo, out float yo, out float zo)
{
int hash = _fnlHash3D(seed, xPrimed, yPrimed, zPrimed) & (255 << 2);
xo = RAND_VECS_3D[hash];
yo = RAND_VECS_3D[hash | 1];
zo = RAND_VECS_3D[hash | 2];
}
static inline void _fnlGradCoordDual2D(int seed, int xPrimed, int yPrimed, float xd, float yd, out float xo, out float yo)
{
int hash = _fnlHash2D(seed, xPrimed, yPrimed);
int index1 = hash & (127 << 1);
int index2 = (hash >> 7) & (255 << 1);
float xg = GRADIENTS_2D[index1];
float yg = GRADIENTS_2D[index1 | 1];
float value = xd * xg + yd * yg;
float xgo = RAND_VECS_2D[index2];
float ygo = RAND_VECS_2D[index2 | 1];
xo = value * xgo;
yo = value * ygo;
}
static inline void _fnlGradCoordDual3D(int seed, int xPrimed, int yPrimed, int zPrimed, float xd, float yd, float zd, out float xo, out float yo, out float zo)
{
int hash = _fnlHash3D(seed, xPrimed, yPrimed, zPrimed);
int index1 = hash & (63 << 2);
int index2 = (hash >> 6) & (255 << 2);
float xg = GRADIENTS_3D[index1];
float yg = GRADIENTS_3D[index1 | 1];
float zg = GRADIENTS_3D[index1 | 2];
float value = xd * xg + yd * yg + zd * zg;
float xgo = RAND_VECS_3D[index2];
float ygo = RAND_VECS_3D[index2 | 1];
float zgo = RAND_VECS_3D[index2 | 2];
xo = value * xgo;
yo = value * ygo;
zo = value * zgo;
}
// Generic Noise Gen
static float _fnlSingleSimplex2D(int seed, FNLfloat x, FNLfloat y);
static float _fnlSingleOpenSimplex23D(int seed, FNLfloat x, FNLfloat y, FNLfloat z);
static float _fnlSingleOpenSimplex2S2D(int seed, FNLfloat x, FNLfloat y);
static float _fnlSingleOpenSimplex2S3D(int seed, FNLfloat x, FNLfloat y, FNLfloat z);
static float _fnlSingleCellular2D(fnl_state state, int seed, FNLfloat x, FNLfloat y);
static float _fnlSingleCellular3D(fnl_state state, int seed, FNLfloat x, FNLfloat y, FNLfloat z);
static float _fnlSinglePerlin2D(int seed, FNLfloat x, FNLfloat y);
static float _fnlSinglePerlin3D(int seed, FNLfloat x, FNLfloat y, FNLfloat z);
static float _fnlSingleValueCubic2D(int seed, FNLfloat x, FNLfloat y);
static float _fnlSingleValueCubic3D(int seed, FNLfloat x, FNLfloat y, FNLfloat z);
static float _fnlSingleValue2D(int seed, FNLfloat x, FNLfloat y);
static float _fnlSingleValue3D(int seed, FNLfloat x, FNLfloat y, FNLfloat z);
static float _fnlGenNoiseSingle2D(fnl_state state, int seed, FNLfloat x, FNLfloat y)
{
FNL_FLATTEN switch (state.noise_type)
{
case FNL_NOISE_OPENSIMPLEX2:
return _fnlSingleSimplex2D(seed, x, y);
case FNL_NOISE_OPENSIMPLEX2S:
return _fnlSingleOpenSimplex2S2D(seed, x, y);
case FNL_NOISE_CELLULAR:
return _fnlSingleCellular2D(state, seed, x, y);
case FNL_NOISE_PERLIN:
return _fnlSinglePerlin2D(seed, x, y);
case FNL_NOISE_VALUE_CUBIC:
return _fnlSingleValueCubic2D(seed, x, y);
case FNL_NOISE_VALUE:
return _fnlSingleValue2D(seed, x, y);
default:
return 0;
}
}
static float _fnlGenNoiseSingle3D(fnl_state state, int seed, FNLfloat x, FNLfloat y, FNLfloat z)
{
FNL_FLATTEN switch (state.noise_type)
{
case FNL_NOISE_OPENSIMPLEX2:
return _fnlSingleOpenSimplex23D(seed, x, y, z);
case FNL_NOISE_OPENSIMPLEX2S:
return _fnlSingleOpenSimplex2S3D(seed, x, y, z);
case FNL_NOISE_CELLULAR:
return _fnlSingleCellular3D(state, seed, x, y, z);
case FNL_NOISE_PERLIN:
return _fnlSinglePerlin3D(seed, x, y, z);
case FNL_NOISE_VALUE_CUBIC:
return _fnlSingleValueCubic3D(seed, x, y, z);
case FNL_NOISE_VALUE:
return _fnlSingleValue3D(seed, x, y, z);
default:
return 0;
}
}
// Noise Coordinate Transforms (frequency, and possible skew or rotation)
static void _fnlTransformNoiseCoordinate2D(fnl_state state, inout FNLfloat x, inout FNLfloat y)
{
x *= state.frequency;
y *= state.frequency;
switch (state.noise_type)
{
case FNL_NOISE_OPENSIMPLEX2:
case FNL_NOISE_OPENSIMPLEX2S:
{
const FNLfloat SQRT3 = (FNLfloat)1.7320508075688772935274463415059;
const FNLfloat F2 = 0.5f * (SQRT3 - 1);
FNLfloat t = (x + y) * F2;
x += t;
y += t;
}
break;
default:
break;
}
}
static void _fnlTransformNoiseCoordinate3D(fnl_state state, inout FNLfloat x, inout FNLfloat y, inout FNLfloat z)
{
x *= state.frequency;
y *= state.frequency;
z *= state.frequency;
switch (state.rotation_type_3d)
{
case FNL_ROTATION_IMPROVE_XY_PLANES:
{
FNLfloat xy = x + y;
FNLfloat s2 = xy * -(FNLfloat)0.211324865405187;
z *= (FNLfloat)0.577350269189626;
x += s2 - z;
y = y + s2 - z;
z += xy * (FNLfloat)0.577350269189626;
}
break;
case FNL_ROTATION_IMPROVE_XZ_PLANES:
{
FNLfloat xz = x + z;
FNLfloat s2 = xz * -(FNLfloat)0.211324865405187;
y *= (FNLfloat)0.577350269189626;
x += s2 - y;
z += s2 - y;
y += xz * (FNLfloat)0.577350269189626;
}
break;
default:
switch (state.noise_type)
{
case FNL_NOISE_OPENSIMPLEX2:
case FNL_NOISE_OPENSIMPLEX2S:
{
const FNLfloat R3 = (FNLfloat)(2.0 / 3.0);
FNLfloat r = (x + y + z) * R3; // Rotation, not skew
x = r - x;
y = r - y;
z = r - z;
}
break;
default:
break;
}
break;
}
}
// Domain Warp Coordinate Transforms
static void _fnlTransformDomainWarpCoordinate2D(fnl_state state, inout FNLfloat x, inout FNLfloat y)
{
switch (state.domain_warp_type)
{
case FNL_DOMAIN_WARP_OPENSIMPLEX2:
case FNL_DOMAIN_WARP_OPENSIMPLEX2_REDUCED:
{
const FNLfloat SQRT3 = (FNLfloat)1.7320508075688772935274463415059;
const FNLfloat F2 = 0.5f * (SQRT3 - 1);
FNLfloat t = (x + y) * F2;
x += t;
y += t;
}
break;
default:
break;
}
}
static void _fnlTransformDomainWarpCoordinate3D(fnl_state state, inout FNLfloat x, inout FNLfloat y, inout FNLfloat z)
{
switch (state.rotation_type_3d)
{
case FNL_ROTATION_IMPROVE_XY_PLANES:
{
FNLfloat xy = x + y;
FNLfloat s2 = xy * -(FNLfloat)0.211324865405187;
z *= (FNLfloat)0.577350269189626;
x += s2 - z;
y = y + s2 - z;
z += xy * (FNLfloat)0.577350269189626;
}
break;
case FNL_ROTATION_IMPROVE_XZ_PLANES:
{
FNLfloat xz = x + z;
FNLfloat s2 = xz * -(FNLfloat)0.211324865405187;
y *= (FNLfloat)0.577350269189626;
x += s2 - y;
z += s2 - y;
y += xz * (FNLfloat)0.577350269189626;
}
break;
default:
switch (state.domain_warp_type)
{
case FNL_DOMAIN_WARP_OPENSIMPLEX2:
case FNL_DOMAIN_WARP_OPENSIMPLEX2_REDUCED:
{
const FNLfloat R3 = (FNLfloat)(2.0 / 3.0);
FNLfloat r = (x + y + z) * R3; // Rotation, not skew
x = r - x;
y = r - y;
z = r - z;
}
break;
default:
break;
}
break;
}
}
// Fractal FBm
static float _fnlGenFractalFBM2D(fnl_state state, FNLfloat x, FNLfloat y)
{
int seed = state.seed;
float sum = 0;
float amp = _fnlCalculateFractalBounding(state);
for (int i = 0; i < state.octaves; i++)
{
float noise = _fnlGenNoiseSingle2D(state, seed++, x, y);
sum += noise * amp;
amp *= _fnlLerp(1.0f, _fnlFastMin(noise + 1, 2) * 0.5f, state.weighted_strength);
x *= state.lacunarity;
y *= state.lacunarity;
amp *= state.gain;
}
return sum;
}
static float _fnlGenFractalFBM3D(fnl_state state, FNLfloat x, FNLfloat y, FNLfloat z)
{
int seed = state.seed;
float sum = 0;
float amp = _fnlCalculateFractalBounding(state);
for (int i = 0; i < state.octaves; i++)
{
float noise = _fnlGenNoiseSingle3D(state, seed++, x, y, z);
sum += noise * amp;
amp *= _fnlLerp(1.0f, (noise + 1) * 0.5f, state.weighted_strength);
x *= state.lacunarity;
y *= state.lacunarity;
z *= state.lacunarity;
amp *= state.gain;
}
return sum;
}
// Fractal Ridged
static float _fnlGenFractalRidged2D(fnl_state state, FNLfloat x, FNLfloat y)
{
int seed = state.seed;
float sum = 0;
float amp = _fnlCalculateFractalBounding(state);
for (int i = 0; i < state.octaves; i++)
{
float noise = _fnlFastAbs(_fnlGenNoiseSingle2D(state, seed++, x, y));
sum += (noise * -2 + 1) * amp;
amp *= _fnlLerp(1.0f, 1 - noise, state.weighted_strength);
x *= state.lacunarity;
y *= state.lacunarity;
amp *= state.gain;
}
return sum;
}
static float _fnlGenFractalRidged3D(fnl_state state, FNLfloat x, FNLfloat y, FNLfloat z)
{
int seed = state.seed;
float sum = 0;
float amp = _fnlCalculateFractalBounding(state);
for (int i = 0; i < state.octaves; i++)
{
float noise = _fnlFastAbs(_fnlGenNoiseSingle3D(state, seed++, x, y, z));
sum += (noise * -2 + 1) * amp;
amp *= _fnlLerp(1.0f, 1 - noise, state.weighted_strength);
x *= state.lacunarity;
y *= state.lacunarity;
z *= state.lacunarity;
amp *= state.gain;
}
return sum;
}
// Fractal PingPong
static float _fnlGenFractalPingPong2D(fnl_state state, FNLfloat x, FNLfloat y)
{
int seed = state.seed;
float sum = 0;
float amp = _fnlCalculateFractalBounding(state);
for (int i = 0; i < state.octaves; i++)
{
float noise = _fnlPingPong((_fnlGenNoiseSingle2D(state, seed++, x, y) + 1) * state.ping_pong_strength);
sum += (noise - 0.5f) * 2 * amp;
amp *= _fnlLerp(1.0f, noise, state.weighted_strength);
x *= state.lacunarity;
y *= state.lacunarity;
amp *= state.gain;
}
return sum;
}
static float _fnlGenFractalPingPong3D(fnl_state state, FNLfloat x, FNLfloat y, FNLfloat z)
{
int seed = state.seed;
float sum = 0;
float amp = _fnlCalculateFractalBounding(state);
for (int i = 0; i < state.octaves; i++)
{
float noise = _fnlPingPong((_fnlGenNoiseSingle3D(state, seed++, x, y, z) + 1) * state.ping_pong_strength);
sum += (noise - 0.5f) * 2 * amp;
amp *= _fnlLerp(1.0f, noise, state.weighted_strength);
x *= state.lacunarity;
y *= state.lacunarity;
z *= state.lacunarity;
amp *= state.gain;
}
return sum;
}
// Simplex/OpenSimplex2 Noise
static float _fnlSingleSimplex2D(int seed, FNLfloat x, FNLfloat y)
{
// 2D OpenSimplex2 case uses the same algorithm as ordinary Simplex.
const float SQRT3 = 1.7320508075688772935274463415059f;
const float G2 = (3 - SQRT3) / 6;
/*
* --- Skew moved to TransformNoiseCoordinate method ---
* const FNLfloat F2 = 0.5f * (SQRT3 - 1);
* FNLfloat s = (x + y) * F2;
* x += s; y += s;
*/
int i = _fnlFastFloor(x);
int j = _fnlFastFloor(y);
float xi = (float)(x - i);
float yi = (float)(y - j);
float t = (xi + yi) * G2;
float x0 = (float)(xi - t);
float y0 = (float)(yi - t);
i *= PRIME_X;
j *= PRIME_Y;
float n0, n1, n2;
float a = 0.5f - x0 * x0 - y0 * y0;
if (a <= 0)
n0 = 0;
else
{
n0 = (a * a) * (a * a) * _fnlGradCoord2D(seed, i, j, x0, y0);
}
float c = (float)(2 * (1 - 2 * G2) * (1 / G2 - 2)) * t + ((float)(-2 * (1 - 2 * G2) * (1 - 2 * G2)) + a);
if (c <= 0)
n2 = 0;
else
{
float x2 = x0 + (2 * (float)G2 - 1);
float y2 = y0 + (2 * (float)G2 - 1);
n2 = (c * c) * (c * c) * _fnlGradCoord2D(seed, i + PRIME_X, j + PRIME_Y, x2, y2);
}
if (y0 > x0)
{
float x1 = x0 + (float)G2;
float y1 = y0 + ((float)G2 - 1);
float b = 0.5f - x1 * x1 - y1 * y1;
if (b <= 0)
n1 = 0;
else
{
n1 = (b * b) * (b * b) * _fnlGradCoord2D(seed, i, j + PRIME_Y, x1, y1);
}
}
else
{
float x1 = x0 + ((float)G2 - 1);
float y1 = y0 + (float)G2;
float b = 0.5f - x1 * x1 - y1 * y1;
if (b <= 0)
n1 = 0;
else
{
n1 = (b * b) * (b * b) * _fnlGradCoord2D(seed, i + PRIME_X, j, x1, y1);
}
}
return (n0 + n1 + n2) * 99.83685446303647f;
}
static float _fnlSingleOpenSimplex23D(int seed, FNLfloat x, FNLfloat y, FNLfloat z)
{
// 3D OpenSimplex2 case uses two offset rotated cube grids.
/*
* --- Rotation moved to TransformNoiseCoordinate method ---
* const FNLfloat R3 = (FNLfloat)(2.0 / 3.0);
* FNLfloat r = (x + y + z) * R3; // Rotation, not skew
* x = r - x; y = r - y; z = r - z;
*/
int i = _fnlFastRound(x);
int j = _fnlFastRound(y);
int k = _fnlFastRound(z);
float x0 = (float)(x - i);
float y0 = (float)(y - j);
float z0 = (float)(z - k);
int xNSign = (int)(-1.0f - x0) | 1;
int yNSign = (int)(-1.0f - y0) | 1;
int zNSign = (int)(-1.0f - z0) | 1;
float ax0 = xNSign * -x0;
float ay0 = yNSign * -y0;
float az0 = zNSign * -z0;
i *= PRIME_X;
j *= PRIME_Y;
k *= PRIME_Z;
float value = 0;
float a = (0.6f - x0 * x0) - (y0 * y0 + z0 * z0);
FNL_UNROLL for (int l = 0; ; l++)
{
if (a > 0)
{
value += (a * a) * (a * a) * _fnlGradCoord3D(seed, i, j, k, x0, y0, z0);
}
float b = a + 1;
int i1 = i;
int j1 = j;
int k1 = k;
float x1 = x0;
float y1 = y0;
float z1 = z0;
if (ax0 >= ay0 && ax0 >= az0)
{
x1 += xNSign;
b -= xNSign * 2 * x1;
i1 -= xNSign * PRIME_X;
}
else if (ay0 > ax0 && ay0 >= az0)
{
y1 += yNSign;
b -= yNSign * 2 * y1;
j1 -= yNSign * PRIME_Y;
}
else
{
z1 += zNSign;
b -= zNSign * 2 * z1;
k1 -= zNSign * PRIME_Z;
}
if (b > 0)
{
value += (b * b) * (b * b) * _fnlGradCoord3D(seed, i1, j1, k1, x1, y1, z1);
}
if (l == 1) break;
ax0 = 0.5f - ax0;
ay0 = 0.5f - ay0;
az0 = 0.5f - az0;
x0 = xNSign * ax0;
y0 = yNSign * ay0;
z0 = zNSign * az0;
a += (0.75f - ax0) - (ay0 + az0);
i += (xNSign >> 1) & PRIME_X;
j += (yNSign >> 1) & PRIME_Y;
k += (zNSign >> 1) & PRIME_Z;
xNSign = -xNSign;
yNSign = -yNSign;
zNSign = -zNSign;
seed = ~seed;
}
return value * 32.69428253173828125f;
}
// OpenSimplex2S Noise
static float _fnlSingleOpenSimplex2S2D(int seed, FNLfloat x, FNLfloat y)
{
// 2D OpenSimplex2S case is a modified 2D simplex noise.
const FNLfloat SQRT3 = (FNLfloat)1.7320508075688772935274463415059;
const FNLfloat G2 = (3 - SQRT3) / 6;
/*
* --- Skew moved to TransformNoiseCoordinate method ---
* const FNLfloat F2 = 0.5f * (SQRT3 - 1);
* FNLfloat s = (x + y) * F2;
* x += s; y += s;
*/
int i = _fnlFastFloor(x);
int j = _fnlFastFloor(y);
float xi = (float)(x - i);
float yi = (float)(y - j);
i *= PRIME_X;
j *= PRIME_Y;
int i1 = i + PRIME_X;
int j1 = j + PRIME_Y;
float t = (xi + yi) * (float)G2;
float x0 = xi - t;
float y0 = yi - t;
int aMask = (int)((xi + yi + 1) * -0.5f);
int bMask = (int)((xi - (aMask + 2)) * 0.5f - yi);
int cMask = (int)((yi - (aMask + 2)) * 0.5f - xi);
float a0 = (2.0f / 3.0f) - x0 * x0 - y0 * y0;
float value = (a0 * a0) * (a0 * a0) * _fnlGradCoord2D(seed, i, j, x0, y0);
float a1 = (float)(2 * (1 - 2 * G2) * (1 / G2 - 2)) * t + ((float)(-2 * (1 - 2 * G2) * (1 - 2 * G2)) + a0);
float x1 = x0 - (float)(1 - 2 * G2);
float y1 = y0 - (float)(1 - 2 * G2);
value += (a1 * a1) * (a1 * a1) * _fnlGradCoord2D(seed, i1, j1, x1, y1);
int di2 = ~(aMask | cMask) | 1;
int ndj2 = (aMask & bMask) << 1;
float t2 = (di2 - ndj2) * (float)G2;
float x2 = x0 - di2 + t2;
float y2 = y0 + ndj2 + t2;
float a2 = (2.0f / 3.0f) - x2 * x2 - y2 * y2;
if (a2 > 0)
{
value += (a2 * a2) * (a2 * a2) * _fnlGradCoord2D(seed, i1 + (di2 & (-PRIME_X << 1)), j + (ndj2 & (PRIME_Y << 1)), x2, y2);
}
int ndi3 = (aMask & cMask) << 1;
int dj3 = ~(aMask | bMask) | 1;
float t3 = (dj3 - ndi3) * (float)G2;
float x3 = x0 + ndi3 + t3;
float y3 = y0 - dj3 + t3;
float a3 = (2.0f / 3.0f) - x3 * x3 - y3 * y3;
if (a3 > 0)
{
value += (a3 * a3) * (a3 * a3) * _fnlGradCoord2D(seed, i + (ndi3 & (PRIME_X << 1)), j1 + (dj3 & (-PRIME_Y << 1)), x3, y3);
}
return value * 18.24196194486065f;
}
static float _fnlSingleOpenSimplex2S3D(int seed, FNLfloat x, FNLfloat y, FNLfloat z)
{
// 3D OpenSimplex2S case uses two offset rotated cube grids.
/*
* --- Rotation moved to TransformNoiseCoordinate method ---
* const FNLfloat R3 = (FNLfloat)(2.0 / 3.0);
* FNLfloat r = (x + y + z) * R3; // Rotation, not skew
* x = r - x; y = r - y; z = r - z;
*/
int i = _fnlFastFloor(x);
int j = _fnlFastFloor(y);
int k = _fnlFastFloor(z);
float xi = (float)(x - i);
float yi = (float)(y - j);
float zi = (float)(z - k);
i *= PRIME_X;
j *= PRIME_Y;
k *= PRIME_Z;
int seed2 = seed + 1293373;
int xNMask = (int)(-0.5f - xi);
int yNMask = (int)(-0.5f - yi);
int zNMask = (int)(-0.5f - zi);
float x0 = xi + xNMask;
float y0 = yi + yNMask;
float z0 = zi + zNMask;
float a0 = 0.75f - x0 * x0 - y0 * y0 - z0 * z0;
float value = (a0 * a0) * (a0 * a0) * _fnlGradCoord3D(seed,
i + (xNMask & PRIME_X), j + (yNMask & PRIME_Y), k + (zNMask & PRIME_Z), x0, y0, z0);
float x1 = xi - 0.5f;
float y1 = yi - 0.5f;
float z1 = zi - 0.5f;
float a1 = 0.75f - x1 * x1 - y1 * y1 - z1 * z1;
value += (a1 * a1) * (a1 * a1) * _fnlGradCoord3D(seed2,
i + PRIME_X, j + PRIME_Y, k + PRIME_Z, x1, y1, z1);
float xAFlipMask0 = ((xNMask | 1) << 1) * x1;
float yAFlipMask0 = ((yNMask | 1) << 1) * y1;
float zAFlipMask0 = ((zNMask | 1) << 1) * z1;
float xAFlipMask1 = (-2 - (xNMask << 2)) * x1 - 1.0f;
float yAFlipMask1 = (-2 - (yNMask << 2)) * y1 - 1.0f;
float zAFlipMask1 = (-2 - (zNMask << 2)) * z1 - 1.0f;
bool skip5 = false;
float a2 = xAFlipMask0 + a0;
if (a2 > 0)
{
float x2 = x0 - (xNMask | 1);
float y2 = y0;
float z2 = z0;
value += (a2 * a2) * (a2 * a2) * _fnlGradCoord3D(seed,
i + (~xNMask & PRIME_X), j + (yNMask & PRIME_Y), k + (zNMask & PRIME_Z), x2, y2, z2);
}
else
{
float a3 = yAFlipMask0 + zAFlipMask0 + a0;
if (a3 > 0)
{
float x3 = x0;
float y3 = y0 - (yNMask | 1);
float z3 = z0 - (zNMask | 1);
value += (a3 * a3) * (a3 * a3) * _fnlGradCoord3D(seed,
i + (xNMask & PRIME_X), j + (~yNMask & PRIME_Y), k + (~zNMask & PRIME_Z), x3, y3, z3);
}
float a4 = xAFlipMask1 + a1;
if (a4 > 0)
{
float x4 = (xNMask | 1) + x1;
float y4 = y1;
float z4 = z1;
value += (a4 * a4) * (a4 * a4) * _fnlGradCoord3D(seed2,
i + (xNMask & (PRIME_X * 2)), j + PRIME_Y, k + PRIME_Z, x4, y4, z4);
skip5 = true;
}
}
bool skip9 = false;
float a6 = yAFlipMask0 + a0;
if (a6 > 0)
{
float x6 = x0;
float y6 = y0 - (yNMask | 1);
float z6 = z0;
value += (a6 * a6) * (a6 * a6) * _fnlGradCoord3D(seed,
i + (xNMask & PRIME_X), j + (~yNMask & PRIME_Y), k + (zNMask & PRIME_Z), x6, y6, z6);
}
else
{
float a7 = xAFlipMask0 + zAFlipMask0 + a0;
if (a7 > 0)
{
float x7 = x0 - (xNMask | 1);
float y7 = y0;
float z7 = z0 - (zNMask | 1);
value += (a7 * a7) * (a7 * a7) * _fnlGradCoord3D(seed,
i + (~xNMask & PRIME_X), j + (yNMask & PRIME_Y), k + (~zNMask & PRIME_Z), x7, y7, z7);
}
float a8 = yAFlipMask1 + a1;
if (a8 > 0)
{
float x8 = x1;
float y8 = (yNMask | 1) + y1;
float z8 = z1;
value += (a8 * a8) * (a8 * a8) * _fnlGradCoord3D(seed2,
i + PRIME_X, j + (yNMask & (PRIME_Y << 1)), k + PRIME_Z, x8, y8, z8);
skip9 = true;
}
}
bool skipD = false;
float aA = zAFlipMask0 + a0;
if (aA > 0)
{
float xA = x0;
float yA = y0;
float zA = z0 - (zNMask | 1);
value += (aA * aA) * (aA * aA) * _fnlGradCoord3D(seed,
i + (xNMask & PRIME_X), j + (yNMask & PRIME_Y), k + (~zNMask & PRIME_Z), xA, yA, zA);
}
else
{
float aB = xAFlipMask0 + yAFlipMask0 + a0;
if (aB > 0)
{
float xB = x0 - (xNMask | 1);
float yB = y0 - (yNMask | 1);
float zB = z0;
value += (aB * aB) * (aB * aB) * _fnlGradCoord3D(seed,
i + (~xNMask & PRIME_X), j + (~yNMask & PRIME_Y), k + (zNMask & PRIME_Z), xB, yB, zB);
}
float aC = zAFlipMask1 + a1;
if (aC > 0)
{
float xC = x1;
float yC = y1;
float zC = (zNMask | 1) + z1;
value += (aC * aC) * (aC * aC) * _fnlGradCoord3D(seed2,
i + PRIME_X, j + PRIME_Y, k + (zNMask & (PRIME_Z << 1)), xC, yC, zC);
skipD = true;
}
}
if (!skip5)
{
float a5 = yAFlipMask1 + zAFlipMask1 + a1;
if (a5 > 0)
{
float x5 = x1;
float y5 = (yNMask | 1) + y1;
float z5 = (zNMask | 1) + z1;
value += (a5 * a5) * (a5 * a5) * _fnlGradCoord3D(seed2,
i + PRIME_X, j + (yNMask & (PRIME_Y << 1)), k + (zNMask & (PRIME_Z << 1)), x5, y5, z5);
}
}
if (!skip9)
{
float a9 = xAFlipMask1 + zAFlipMask1 + a1;
if (a9 > 0)
{
float x9 = (xNMask | 1) + x1;
float y9 = y1;
float z9 = (zNMask | 1) + z1;
value += (a9 * a9) * (a9 * a9) * _fnlGradCoord3D(seed2,
i + (xNMask & (PRIME_X * 2)), j + PRIME_Y, k + (zNMask & (PRIME_Z << 1)), x9, y9, z9);
}
}
if (!skipD)
{
float aD = xAFlipMask1 + yAFlipMask1 + a1;
if (aD > 0)
{
float xD = (xNMask | 1) + x1;
float yD = (yNMask | 1) + y1;
float zD = z1;
value += (aD * aD) * (aD * aD) * _fnlGradCoord3D(seed2,
i + (xNMask & (PRIME_X << 1)), j + (yNMask & (PRIME_Y << 1)), k + PRIME_Z, xD, yD, zD);
}
}
return value * 9.046026385208288f;
}
// Cellular Noise
static float _fnlSingleCellular2D(fnl_state state, int seed, FNLfloat x, FNLfloat y)
{
int xr = _fnlFastRound(x);
int yr = _fnlFastRound(y);
float distance0 = 1e10f;
float distance1 = 1e10f;
int closestHash = 0;
float cellularJitter = 0.5f * state.cellular_jitter_mod;
int xPrimed = (xr - 1) * PRIME_X;
int yPrimedBase = (yr - 1) * PRIME_Y;
FNL_FLATTEN switch (state.cellular_distance_func)
{
default:
case FNL_CELLULAR_DISTANCE_EUCLIDEAN:
case FNL_CELLULAR_DISTANCE_EUCLIDEANSQ:
{
for (int xi = xr - 1; xi <= xr + 1; xi++)
{
int yPrimed = yPrimedBase;
for (int yi = yr - 1; yi <= yr + 1; yi++)
{
int hash = _fnlHash2D(seed, xPrimed, yPrimed);
int idx = hash & (255 << 1);
float vecX = (float)(xi - x) + RAND_VECS_2D[idx] * cellularJitter;
float vecY = (float)(yi - y) + RAND_VECS_2D[idx | 1] * cellularJitter;
float newDistance = vecX * vecX + vecY * vecY;
distance1 = _fnlFastMax(_fnlFastMin(distance1, newDistance), distance0);
if (newDistance < distance0)
{
distance0 = newDistance;
closestHash = hash;
}
yPrimed += PRIME_Y;
}
xPrimed += PRIME_X;
}
break;
}
case FNL_CELLULAR_DISTANCE_MANHATTAN:
{
for (int xi = xr - 1; xi <= xr + 1; xi++)
{
int yPrimed = yPrimedBase;
for (int yi = yr - 1; yi <= yr + 1; yi++)
{
int hash = _fnlHash2D(seed, xPrimed, yPrimed);
int idx = hash & (255 << 1);
float vecX = (float)(xi - x) + RAND_VECS_2D[idx] * cellularJitter;
float vecY = (float)(yi - y) + RAND_VECS_2D[idx | 1] * cellularJitter;
float newDistance = _fnlFastAbs(vecX) + _fnlFastAbs(vecY);
distance1 = _fnlFastMax(_fnlFastMin(distance1, newDistance), distance0);
if (newDistance < distance0)
{
distance0 = newDistance;
closestHash = hash;
}
yPrimed += PRIME_Y;
}
xPrimed += PRIME_X;
}
break;
}
case FNL_CELLULAR_DISTANCE_HYBRID:
{
for (int xi = xr - 1; xi <= xr + 1; xi++)
{
int yPrimed = yPrimedBase;
for (int yi = yr - 1; yi <= yr + 1; yi++)
{
int hash = _fnlHash2D(seed, xPrimed, yPrimed);
int idx = hash & (255 << 1);
float vecX = (float)(xi - x) + RAND_VECS_2D[idx] * cellularJitter;
float vecY = (float)(yi - y) + RAND_VECS_2D[idx | 1] * cellularJitter;
float newDistance = (_fnlFastAbs(vecX) + _fnlFastAbs(vecY)) + (vecX * vecX + vecY * vecY);
distance1 = _fnlFastMax(_fnlFastMin(distance1, newDistance), distance0);
if (newDistance < distance0)
{
distance0 = newDistance;
closestHash = hash;
}
yPrimed += PRIME_Y;
}
xPrimed += PRIME_X;
}
break;
}
}
FNL_FLATTEN if (state.cellular_distance_func == FNL_CELLULAR_DISTANCE_EUCLIDEAN && state.cellular_return_type >= FNL_CELLULAR_RETURN_TYPE_DISTANCE)
{
distance0 = _fnlFastSqrt(distance0);
if (state.cellular_return_type >= FNL_CELLULAR_RETURN_TYPE_DISTANCE2)
distance1 = _fnlFastSqrt(distance1);
}
switch (state.cellular_return_type)
{
case FNL_CELLULAR_RETURN_TYPE_CELLVALUE:
return closestHash * (1 / 2147483648.0f);
case FNL_CELLULAR_RETURN_TYPE_DISTANCE:
return distance0 - 1;
case FNL_CELLULAR_RETURN_TYPE_DISTANCE2:
return distance1 - 1;
case FNL_CELLULAR_RETURN_TYPE_DISTANCE2ADD:
return (distance1 + distance0) * 0.5f - 1;
case FNL_CELLULAR_RETURN_TYPE_DISTANCE2SUB:
return distance1 - distance0 - 1;
case FNL_CELLULAR_RETURN_TYPE_DISTANCE2MUL:
return distance1 * distance0 * 0.5f - 1;
case FNL_CELLULAR_RETURN_TYPE_DISTANCE2DIV:
return distance0 / distance1 - 1;
default:
return 0;
}
}
static float _fnlSingleCellular3D(fnl_state state, int seed, FNLfloat x, FNLfloat y, FNLfloat z)
{
int xr = _fnlFastRound(x);
int yr = _fnlFastRound(y);
int zr = _fnlFastRound(z);
float distance0 = 1e10f;
float distance1 = 1e10f;
int closestHash = 0;
float cellularJitter = 0.39614353f * state.cellular_jitter_mod;
int xPrimed = (xr - 1) * PRIME_X;
int yPrimedBase = (yr - 1) * PRIME_Y;
int zPrimedBase = (zr - 1) * PRIME_Z;
switch (state.cellular_distance_func)
{
default:
case FNL_CELLULAR_DISTANCE_EUCLIDEAN:
case FNL_CELLULAR_DISTANCE_EUCLIDEANSQ:
{
for (int xi = xr - 1; xi <= xr + 1; xi++)
{
int yPrimed = yPrimedBase;
for (int yi = yr - 1; yi <= yr + 1; yi++)
{
int zPrimed = zPrimedBase;
for (int zi = zr - 1; zi <= zr + 1; zi++)
{
int hash = _fnlHash3D(seed, xPrimed, yPrimed, zPrimed);
int idx = hash & (255 << 2);
float vecX = (float)(xi - x) + RAND_VECS_3D[idx] * cellularJitter;
float vecY = (float)(yi - y) + RAND_VECS_3D[idx | 1] * cellularJitter;
float vecZ = (float)(zi - z) + RAND_VECS_3D[idx | 2] * cellularJitter;
float newDistance = vecX * vecX + vecY * vecY + vecZ * vecZ;
distance1 = _fnlFastMax(_fnlFastMin(distance1, newDistance), distance0);
if (newDistance < distance0)
{
distance0 = newDistance;
closestHash = hash;
}
zPrimed += PRIME_Z;
}
yPrimed += PRIME_Y;
}
xPrimed += PRIME_X;
}
break;
}
case FNL_CELLULAR_DISTANCE_MANHATTAN:
{
for (int xi = xr - 1; xi <= xr + 1; xi++)
{
int yPrimed = yPrimedBase;
for (int yi = yr - 1; yi <= yr + 1; yi++)
{
int zPrimed = zPrimedBase;
for (int zi = zr - 1; zi <= zr + 1; zi++)
{
int hash = _fnlHash3D(seed, xPrimed, yPrimed, zPrimed);
int idx = hash & (255 << 2);
float vecX = (float)(xi - x) + RAND_VECS_3D[idx] * cellularJitter;
float vecY = (float)(yi - y) + RAND_VECS_3D[idx | 1] * cellularJitter;
float vecZ = (float)(zi - z) + RAND_VECS_3D[idx | 2] * cellularJitter;
float newDistance = _fnlFastAbs(vecX) + _fnlFastAbs(vecY) + _fnlFastAbs(vecZ);
distance1 = _fnlFastMax(_fnlFastMin(distance1, newDistance), distance0);
if (newDistance < distance0)
{
distance0 = newDistance;
closestHash = hash;
}
zPrimed += PRIME_Z;
}
yPrimed += PRIME_Y;
}
xPrimed += PRIME_X;
}
break;
}
case FNL_CELLULAR_DISTANCE_HYBRID:
{
for (int xi = xr - 1; xi <= xr + 1; xi++)
{
int yPrimed = yPrimedBase;
for (int yi = yr - 1; yi <= yr + 1; yi++)
{
int zPrimed = zPrimedBase;
for (int zi = zr - 1; zi <= zr + 1; zi++)
{
int hash = _fnlHash3D(seed, xPrimed, yPrimed, zPrimed);
int idx = hash & (255 << 2);
float vecX = (float)(xi - x) + RAND_VECS_3D[idx] * cellularJitter;
float vecY = (float)(yi - y) + RAND_VECS_3D[idx | 1] * cellularJitter;
float vecZ = (float)(zi - z) + RAND_VECS_3D[idx | 2] * cellularJitter;
float newDistance = (_fnlFastAbs(vecX) + _fnlFastAbs(vecY) + _fnlFastAbs(vecZ)) + (vecX * vecX + vecY * vecY + vecZ * vecZ);
distance1 = _fnlFastMax(_fnlFastMin(distance1, newDistance), distance0);
if (newDistance < distance0)
{
distance0 = newDistance;
closestHash = hash;
}
zPrimed += PRIME_Z;
}
yPrimed += PRIME_Y;
}
xPrimed += PRIME_X;
}
break;
}
}
if (state.cellular_distance_func == FNL_CELLULAR_DISTANCE_EUCLIDEAN && state.cellular_return_type >= FNL_CELLULAR_RETURN_TYPE_DISTANCE)
{
distance0 = _fnlFastSqrt(distance0);
if (state.cellular_return_type >= FNL_CELLULAR_RETURN_TYPE_DISTANCE2)
distance1 = _fnlFastSqrt(distance1);
}
switch (state.cellular_return_type)
{
case FNL_CELLULAR_RETURN_TYPE_CELLVALUE:
return closestHash * (1 / 2147483648.0f);
case FNL_CELLULAR_RETURN_TYPE_DISTANCE:
return distance0 - 1;
case FNL_CELLULAR_RETURN_TYPE_DISTANCE2:
return distance1 - 1;
case FNL_CELLULAR_RETURN_TYPE_DISTANCE2ADD:
return (distance1 + distance0) * 0.5f - 1;
case FNL_CELLULAR_RETURN_TYPE_DISTANCE2SUB:
return distance1 - distance0 - 1;
case FNL_CELLULAR_RETURN_TYPE_DISTANCE2MUL:
return distance1 * distance0 * 0.5f - 1;
case FNL_CELLULAR_RETURN_TYPE_DISTANCE2DIV:
return distance0 / distance1 - 1;
default:
return 0;
}
}
// Perlin Noise
static float _fnlSinglePerlin2D(int seed, FNLfloat x, FNLfloat y)
{
int x0 = _fnlFastFloor(x);
int y0 = _fnlFastFloor(y);
float xd0 = (float)(x - x0);
float yd0 = (float)(y - y0);
float xd1 = xd0 - 1;
float yd1 = yd0 - 1;
float xs = _fnlInterpQuintic(xd0);
float ys = _fnlInterpQuintic(yd0);
x0 *= PRIME_X;
y0 *= PRIME_Y;
int x1 = x0 + PRIME_X;
int y1 = y0 + PRIME_Y;
float xf0 = _fnlLerp(_fnlGradCoord2D(seed, x0, y0, xd0, yd0), _fnlGradCoord2D(seed, x1, y0, xd1, yd0), xs);
float xf1 = _fnlLerp(_fnlGradCoord2D(seed, x0, y1, xd0, yd1), _fnlGradCoord2D(seed, x1, y1, xd1, yd1), xs);
return _fnlLerp(xf0, xf1, ys) * 1.4247691104677813f;
}
static float _fnlSinglePerlin3D(int seed, FNLfloat x, FNLfloat y, FNLfloat z)
{
int x0 = _fnlFastFloor(x);
int y0 = _fnlFastFloor(y);
int z0 = _fnlFastFloor(z);
float xd0 = (float)(x - x0);
float yd0 = (float)(y - y0);
float zd0 = (float)(z - z0);
float xd1 = xd0 - 1;
float yd1 = yd0 - 1;
float zd1 = zd0 - 1;
float xs = _fnlInterpQuintic(xd0);
float ys = _fnlInterpQuintic(yd0);
float zs = _fnlInterpQuintic(zd0);
x0 *= PRIME_X;
y0 *= PRIME_Y;
z0 *= PRIME_Z;
int x1 = x0 + PRIME_X;
int y1 = y0 + PRIME_Y;
int z1 = z0 + PRIME_Z;
float xf00 = _fnlLerp(_fnlGradCoord3D(seed, x0, y0, z0, xd0, yd0, zd0), _fnlGradCoord3D(seed, x1, y0, z0, xd1, yd0, zd0), xs);
float xf10 = _fnlLerp(_fnlGradCoord3D(seed, x0, y1, z0, xd0, yd1, zd0), _fnlGradCoord3D(seed, x1, y1, z0, xd1, yd1, zd0), xs);
float xf01 = _fnlLerp(_fnlGradCoord3D(seed, x0, y0, z1, xd0, yd0, zd1), _fnlGradCoord3D(seed, x1, y0, z1, xd1, yd0, zd1), xs);
float xf11 = _fnlLerp(_fnlGradCoord3D(seed, x0, y1, z1, xd0, yd1, zd1), _fnlGradCoord3D(seed, x1, y1, z1, xd1, yd1, zd1), xs);
float yf0 = _fnlLerp(xf00, xf10, ys);
float yf1 = _fnlLerp(xf01, xf11, ys);
return _fnlLerp(yf0, yf1, zs) * 0.964921414852142333984375f;
}
// Value Cubic
static float _fnlSingleValueCubic2D(int seed, FNLfloat x, FNLfloat y)
{
int x1 = _fnlFastFloor(x);
int y1 = _fnlFastFloor(y);
float xs = x - (float)x1;
float ys = y - (float)y1;
x1 *= PRIME_X;
y1 *= PRIME_Y;
int x0 = x1 - PRIME_X;
int y0 = y1 - PRIME_Y;
int x2 = x1 + PRIME_X;
int y2 = y1 + PRIME_Y;
int x3 = x1 + PRIME_X * 2;
int y3 = y1 + PRIME_Y * 2;
return _fnlCubicLerp(
_fnlCubicLerp(_fnlValCoord2D(seed, x0, y0), _fnlValCoord2D(seed, x1, y0), _fnlValCoord2D(seed, x2, y0), _fnlValCoord2D(seed, x3, y0),
xs),
_fnlCubicLerp(_fnlValCoord2D(seed, x0, y1), _fnlValCoord2D(seed, x1, y1), _fnlValCoord2D(seed, x2, y1), _fnlValCoord2D(seed, x3, y1),
xs),
_fnlCubicLerp(_fnlValCoord2D(seed, x0, y2), _fnlValCoord2D(seed, x1, y2), _fnlValCoord2D(seed, x2, y2), _fnlValCoord2D(seed, x3, y2),
xs),
_fnlCubicLerp(_fnlValCoord2D(seed, x0, y3), _fnlValCoord2D(seed, x1, y3), _fnlValCoord2D(seed, x2, y3), _fnlValCoord2D(seed, x3, y3),
xs),
ys) * (1 / (1.5f * 1.5f));
}
static float _fnlSingleValueCubic3D(int seed, FNLfloat x, FNLfloat y, FNLfloat z)
{
int x1 = _fnlFastFloor(x);
int y1 = _fnlFastFloor(y);
int z1 = _fnlFastFloor(z);
float xs = x - (float)x1;
float ys = y - (float)y1;
float zs = z - (float)z1;
x1 *= PRIME_X;
y1 *= PRIME_Y;
z1 *= PRIME_Z;
int x0 = x1 - PRIME_X;
int y0 = y1 - PRIME_Y;
int z0 = z1 - PRIME_Z;
int x2 = x1 + PRIME_X;
int y2 = y1 + PRIME_Y;
int z2 = z1 + PRIME_Z;
int x3 = x1 + PRIME_X * 2;
int y3 = y1 + PRIME_Y * 2;
int z3 = z1 + PRIME_Z * 2;
return _fnlCubicLerp(
_fnlCubicLerp(
_fnlCubicLerp(_fnlValCoord3D(seed, x0, y0, z0), _fnlValCoord3D(seed, x1, y0, z0), _fnlValCoord3D(seed, x2, y0, z0), _fnlValCoord3D(seed, x3, y0, z0), xs),
_fnlCubicLerp(_fnlValCoord3D(seed, x0, y1, z0), _fnlValCoord3D(seed, x1, y1, z0), _fnlValCoord3D(seed, x2, y1, z0), _fnlValCoord3D(seed, x3, y1, z0), xs),
_fnlCubicLerp(_fnlValCoord3D(seed, x0, y2, z0), _fnlValCoord3D(seed, x1, y2, z0), _fnlValCoord3D(seed, x2, y2, z0), _fnlValCoord3D(seed, x3, y2, z0), xs),
_fnlCubicLerp(_fnlValCoord3D(seed, x0, y3, z0), _fnlValCoord3D(seed, x1, y3, z0), _fnlValCoord3D(seed, x2, y3, z0), _fnlValCoord3D(seed, x3, y3, z0), xs),
ys),
_fnlCubicLerp(
_fnlCubicLerp(_fnlValCoord3D(seed, x0, y0, z1), _fnlValCoord3D(seed, x1, y0, z1), _fnlValCoord3D(seed, x2, y0, z1), _fnlValCoord3D(seed, x3, y0, z1), xs),
_fnlCubicLerp(_fnlValCoord3D(seed, x0, y1, z1), _fnlValCoord3D(seed, x1, y1, z1), _fnlValCoord3D(seed, x2, y1, z1), _fnlValCoord3D(seed, x3, y1, z1), xs),
_fnlCubicLerp(_fnlValCoord3D(seed, x0, y2, z1), _fnlValCoord3D(seed, x1, y2, z1), _fnlValCoord3D(seed, x2, y2, z1), _fnlValCoord3D(seed, x3, y2, z1), xs),
_fnlCubicLerp(_fnlValCoord3D(seed, x0, y3, z1), _fnlValCoord3D(seed, x1, y3, z1), _fnlValCoord3D(seed, x2, y3, z1), _fnlValCoord3D(seed, x3, y3, z1), xs),
ys),
_fnlCubicLerp(
_fnlCubicLerp(_fnlValCoord3D(seed, x0, y0, z2), _fnlValCoord3D(seed, x1, y0, z2), _fnlValCoord3D(seed, x2, y0, z2), _fnlValCoord3D(seed, x3, y0, z2), xs),
_fnlCubicLerp(_fnlValCoord3D(seed, x0, y1, z2), _fnlValCoord3D(seed, x1, y1, z2), _fnlValCoord3D(seed, x2, y1, z2), _fnlValCoord3D(seed, x3, y1, z2), xs),
_fnlCubicLerp(_fnlValCoord3D(seed, x0, y2, z2), _fnlValCoord3D(seed, x1, y2, z2), _fnlValCoord3D(seed, x2, y2, z2), _fnlValCoord3D(seed, x3, y2, z2), xs),
_fnlCubicLerp(_fnlValCoord3D(seed, x0, y3, z2), _fnlValCoord3D(seed, x1, y3, z2), _fnlValCoord3D(seed, x2, y3, z2), _fnlValCoord3D(seed, x3, y3, z2), xs),
ys),
_fnlCubicLerp(
_fnlCubicLerp(_fnlValCoord3D(seed, x0, y0, z3), _fnlValCoord3D(seed, x1, y0, z3), _fnlValCoord3D(seed, x2, y0, z3), _fnlValCoord3D(seed, x3, y0, z3), xs),
_fnlCubicLerp(_fnlValCoord3D(seed, x0, y1, z3), _fnlValCoord3D(seed, x1, y1, z3), _fnlValCoord3D(seed, x2, y1, z3), _fnlValCoord3D(seed, x3, y1, z3), xs),
_fnlCubicLerp(_fnlValCoord3D(seed, x0, y2, z3), _fnlValCoord3D(seed, x1, y2, z3), _fnlValCoord3D(seed, x2, y2, z3), _fnlValCoord3D(seed, x3, y2, z3), xs),
_fnlCubicLerp(_fnlValCoord3D(seed, x0, y3, z3), _fnlValCoord3D(seed, x1, y3, z3), _fnlValCoord3D(seed, x2, y3, z3), _fnlValCoord3D(seed, x3, y3, z3), xs),
ys),
zs) * (1 / 1.5f * 1.5f * 1.5f);
}
// Value noise
static float _fnlSingleValue2D(int seed, FNLfloat x, FNLfloat y)
{
int x0 = _fnlFastFloor(x);
int y0 = _fnlFastFloor(y);
float xs = _fnlInterpHermite((float)(x - x0));
float ys = _fnlInterpHermite((float)(y - y0));
x0 *= PRIME_X;
y0 *= PRIME_Y;
int x1 = x0 + PRIME_X;
int y1 = y0 + PRIME_Y;
float xf0 = _fnlLerp(_fnlValCoord2D(seed, x0, y0), _fnlValCoord2D(seed, x1, y0), xs);
float xf1 = _fnlLerp(_fnlValCoord2D(seed, x0, y1), _fnlValCoord2D(seed, x1, y1), xs);
return _fnlLerp(xf0, xf1, ys);
}
static float _fnlSingleValue3D(int seed, FNLfloat x, FNLfloat y, FNLfloat z)
{
int x0 = _fnlFastFloor(x);
int y0 = _fnlFastFloor(y);
int z0 = _fnlFastFloor(z);
float xs = _fnlInterpHermite((float)(x - x0));
float ys = _fnlInterpHermite((float)(y - y0));
float zs = _fnlInterpHermite((float)(z - z0));
x0 *= PRIME_X;
y0 *= PRIME_Y;
z0 *= PRIME_Z;
int x1 = x0 + PRIME_X;
int y1 = y0 + PRIME_Y;
int z1 = z0 + PRIME_Z;
float xf00 = _fnlLerp(_fnlValCoord3D(seed, x0, y0, z0), _fnlValCoord3D(seed, x1, y0, z0), xs);
float xf10 = _fnlLerp(_fnlValCoord3D(seed, x0, y1, z0), _fnlValCoord3D(seed, x1, y1, z0), xs);
float xf01 = _fnlLerp(_fnlValCoord3D(seed, x0, y0, z1), _fnlValCoord3D(seed, x1, y0, z1), xs);
float xf11 = _fnlLerp(_fnlValCoord3D(seed, x0, y1, z1), _fnlValCoord3D(seed, x1, y1, z1), xs);
float yf0 = _fnlLerp(xf00, xf10, ys);
float yf1 = _fnlLerp(xf01, xf11, ys);
return _fnlLerp(yf0, yf1, zs);
}
// Domain Warp
// Forward declare
static void _fnlSingleDomainWarpBasicGrid2D(int seed, float warpAmp, float frequency, FNLfloat x, FNLfloat y, inout FNLfloat xp, inout FNLfloat yp);
static void _fnlSingleDomainWarpBasicGrid3D(int seed, float warpAmp, float frequency, FNLfloat x, FNLfloat y, FNLfloat z, inout FNLfloat xp, inout FNLfloat yp, inout FNLfloat zp);
static void _fnlSingleDomainWarpSimplexGradient(int seed, float warpAmp, float frequency, FNLfloat x, FNLfloat y, inout FNLfloat xr, inout FNLfloat yr, bool outGradOnly);
static void _fnlSingleDomainWarpOpenSimplex2Gradient(int seed, float warpAmp, float frequency, FNLfloat x, FNLfloat y, FNLfloat z, inout FNLfloat xr, inout FNLfloat yr, inout FNLfloat zr, bool outGradOnly);
static void _fnlDoSingleDomainWarp2D(fnl_state state, int seed, float amp, float freq, FNLfloat x, FNLfloat y, inout FNLfloat xp, inout FNLfloat yp)
{
FNL_FLATTEN switch (state.domain_warp_type)
{
case FNL_DOMAIN_WARP_OPENSIMPLEX2:
_fnlSingleDomainWarpSimplexGradient(seed, amp * 38.283687591552734375f, freq, x, y, xp, yp, false);
break;
case FNL_DOMAIN_WARP_OPENSIMPLEX2_REDUCED:
_fnlSingleDomainWarpSimplexGradient(seed, amp * 16.0f, freq, x, y, xp, yp, true);
break;
case FNL_DOMAIN_WARP_BASICGRID:
_fnlSingleDomainWarpBasicGrid2D(seed, amp, freq, x, y, xp, yp);
break;
}
}
static void _fnlDoSingleDomainWarp3D(fnl_state state, int seed, float amp, float freq, FNLfloat x, FNLfloat y, FNLfloat z, inout FNLfloat xp, inout FNLfloat yp, inout FNLfloat zp)
{
FNL_FLATTEN switch (state.domain_warp_type)
{
case FNL_DOMAIN_WARP_OPENSIMPLEX2:
_fnlSingleDomainWarpOpenSimplex2Gradient(seed, amp * 32.69428253173828125f, freq, x, y, z, xp, yp, zp, false);
break;
case FNL_DOMAIN_WARP_OPENSIMPLEX2_REDUCED:
_fnlSingleDomainWarpOpenSimplex2Gradient(seed, amp * 7.71604938271605f, freq, x, y, z, xp, yp, zp, true);
break;
case FNL_DOMAIN_WARP_BASICGRID:
_fnlSingleDomainWarpBasicGrid3D(seed, amp, freq, x, y, z, xp, yp, zp);
break;
}
}
// Domain Warp Single Wrapper
static void _fnlDomainWarpSingle2D(fnl_state state, inout FNLfloat x, inout FNLfloat y)
{
int seed = state.seed;
float amp = state.domain_warp_amp * _fnlCalculateFractalBounding(state);
float freq = state.frequency;
FNLfloat xs = x;
FNLfloat ys = y;
_fnlTransformDomainWarpCoordinate2D(state, xs, ys);
_fnlDoSingleDomainWarp2D(state, seed, amp, freq, xs, ys, x, y);
}
static void _fnlDomainWarpSingle3D(fnl_state state, inout FNLfloat x, inout FNLfloat y, inout FNLfloat z)
{
int seed = state.seed;
float amp = state.domain_warp_amp * _fnlCalculateFractalBounding(state);
float freq = state.frequency;
FNLfloat xs = x;
FNLfloat ys = y;
FNLfloat zs = z;
_fnlTransformDomainWarpCoordinate3D(state, xs, ys, zs);
_fnlDoSingleDomainWarp3D(state, seed, amp, freq, xs, ys, zs, x, y, z);
}
// Domain Warp Fractal Progressive
static void _fnlDomainWarpFractalProgressive2D(fnl_state state, inout FNLfloat x, inout FNLfloat y)
{
int seed = state.seed;
float amp = state.domain_warp_amp * _fnlCalculateFractalBounding(state);
float freq = state.frequency;
for (int i = 0; i < state.octaves; i++)
{
FNLfloat xs = x;
FNLfloat ys = y;
_fnlTransformDomainWarpCoordinate2D(state, xs, ys);
_fnlDoSingleDomainWarp2D(state, seed, amp, freq, xs, ys, x, y);
seed++;
amp *= state.gain;
freq *= state.lacunarity;
}
}
static void _fnlDomainWarpFractalProgressive3D(fnl_state state, inout FNLfloat x, inout FNLfloat y, inout FNLfloat z)
{
int seed = state.seed;
float amp = state.domain_warp_amp * _fnlCalculateFractalBounding(state);
float freq = state.frequency;
for (int i = 0; i < state.octaves; i++)
{
FNLfloat xs = x;
FNLfloat ys = y;
FNLfloat zs = z;
_fnlTransformDomainWarpCoordinate3D(state, xs, ys, zs);
_fnlDoSingleDomainWarp3D(state, seed, amp, freq, xs, ys, zs, x, y, z);
seed++;
amp *= state.gain;
freq *= state.lacunarity;
}
}
// Domain Warp Fractal Independent
static void _fnlDomainWarpFractalIndependent2D(fnl_state state, inout FNLfloat x, inout FNLfloat y)
{
FNLfloat xs = x;
FNLfloat ys = y;
_fnlTransformDomainWarpCoordinate2D(state, xs, ys);
int seed = state.seed;
float amp = state.domain_warp_amp * _fnlCalculateFractalBounding(state);
float freq = state.frequency;
for (int i = 0; i < state.octaves; i++)
{
_fnlDoSingleDomainWarp2D(state, seed, amp, freq, xs, ys, x, y);
seed++;
amp *= state.gain;
freq *= state.lacunarity;
}
}
static void _fnlDomainWarpFractalIndependent3D(fnl_state state, inout FNLfloat x, inout FNLfloat y, inout FNLfloat z)
{
FNLfloat xs = x;
FNLfloat ys = y;
FNLfloat zs = z;
_fnlTransformDomainWarpCoordinate3D(state, xs, ys, zs);
int seed = state.seed;
float amp = state.domain_warp_amp * _fnlCalculateFractalBounding(state);
float freq = state.frequency;
for (int i = 0; i < state.octaves; i++)
{
_fnlDoSingleDomainWarp3D(state, seed, amp, freq, xs, ys, zs, x, y, z);
seed++;
amp *= state.gain;
freq *= state.lacunarity;
}
}
// Domain Warp Basic Grid
static void _fnlSingleDomainWarpBasicGrid2D(int seed, float warpAmp, float frequency, FNLfloat x, FNLfloat y, inout FNLfloat xp, inout FNLfloat yp)
{
FNLfloat xf = x * frequency;
FNLfloat yf = y * frequency;
int x0 = _fnlFastFloor(xf);
int y0 = _fnlFastFloor(yf);
float xs = _fnlInterpHermite((float)(xf - x0));
float ys = _fnlInterpHermite((float)(yf - y0));
x0 *= PRIME_X;
y0 *= PRIME_Y;
int x1 = x0 + PRIME_X;
int y1 = y0 + PRIME_Y;
int idx0 = _fnlHash2D(seed, x0, y0) & (255 << 1);
int idx1 = _fnlHash2D(seed, x1, y0) & (255 << 1);
float lx0x = _fnlLerp(RAND_VECS_2D[idx0], RAND_VECS_2D[idx1], xs);
float ly0x = _fnlLerp(RAND_VECS_2D[idx0 | 1], RAND_VECS_2D[idx1 | 1], xs);
idx0 = _fnlHash2D(seed, x0, y1) & (255 << 1);
idx1 = _fnlHash2D(seed, x1, y1) & (255 << 1);
float lx1x = _fnlLerp(RAND_VECS_2D[idx0], RAND_VECS_2D[idx1], xs);
float ly1x = _fnlLerp(RAND_VECS_2D[idx0 | 1], RAND_VECS_2D[idx1 | 1], xs);
xp += _fnlLerp(lx0x, lx1x, ys) * warpAmp;
yp += _fnlLerp(ly0x, ly1x, ys) * warpAmp;
}
static void _fnlSingleDomainWarpBasicGrid3D(int seed, float warpAmp, float frequency, FNLfloat x, FNLfloat y, FNLfloat z, inout FNLfloat xp, inout FNLfloat yp, inout FNLfloat zp)
{
FNLfloat xf = x * frequency;
FNLfloat yf = y * frequency;
FNLfloat zf = z * frequency;
int x0 = _fnlFastFloor(xf);
int y0 = _fnlFastFloor(yf);
int z0 = _fnlFastFloor(zf);
float xs = _fnlInterpHermite((float)(xf - x0));
float ys = _fnlInterpHermite((float)(yf - y0));
float zs = _fnlInterpHermite((float)(zf - z0));
x0 *= PRIME_X;
y0 *= PRIME_Y;
z0 *= PRIME_Z;
int x1 = x0 + PRIME_X;
int y1 = y0 + PRIME_Y;
int z1 = z0 + PRIME_Z;
int idx0 = _fnlHash3D(seed, x0, y0, z0) & (255 << 2);
int idx1 = _fnlHash3D(seed, x1, y0, z0) & (255 << 2);
float lx0x = _fnlLerp(RAND_VECS_3D[idx0], RAND_VECS_3D[idx1], xs);
float ly0x = _fnlLerp(RAND_VECS_3D[idx0 | 1], RAND_VECS_3D[idx1 | 1], xs);
float lz0x = _fnlLerp(RAND_VECS_3D[idx0 | 2], RAND_VECS_3D[idx1 | 2], xs);
idx0 = _fnlHash3D(seed, x0, y1, z0) & (255 << 2);
idx1 = _fnlHash3D(seed, x1, y1, z0) & (255 << 2);
float lx1x = _fnlLerp(RAND_VECS_3D[idx0], RAND_VECS_3D[idx1], xs);
float ly1x = _fnlLerp(RAND_VECS_3D[idx0 | 1], RAND_VECS_3D[idx1 | 1], xs);
float lz1x = _fnlLerp(RAND_VECS_3D[idx0 | 2], RAND_VECS_3D[idx1 | 2], xs);
float lx0y = _fnlLerp(lx0x, lx1x, ys);
float ly0y = _fnlLerp(ly0x, ly1x, ys);
float lz0y = _fnlLerp(lz0x, lz1x, ys);
idx0 = _fnlHash3D(seed, x0, y0, z1) & (255 << 2);
idx1 = _fnlHash3D(seed, x1, y0, z1) & (255 << 2);
lx0x = _fnlLerp(RAND_VECS_3D[idx0], RAND_VECS_3D[idx1], xs);
ly0x = _fnlLerp(RAND_VECS_3D[idx0 | 1], RAND_VECS_3D[idx1 | 1], xs);
lz0x = _fnlLerp(RAND_VECS_3D[idx0 | 2], RAND_VECS_3D[idx1 | 2], xs);
idx0 = _fnlHash3D(seed, x0, y1, z1) & (255 << 2);
idx1 = _fnlHash3D(seed, x1, y1, z1) & (255 << 2);
lx1x = _fnlLerp(RAND_VECS_3D[idx0], RAND_VECS_3D[idx1], xs);
ly1x = _fnlLerp(RAND_VECS_3D[idx0 | 1], RAND_VECS_3D[idx1 | 1], xs);
lz1x = _fnlLerp(RAND_VECS_3D[idx0 | 2], RAND_VECS_3D[idx1 | 2], xs);
xp += _fnlLerp(lx0y, _fnlLerp(lx0x, lx1x, ys), zs) * warpAmp;
yp += _fnlLerp(ly0y, _fnlLerp(ly0x, ly1x, ys), zs) * warpAmp;
zp += _fnlLerp(lz0y, _fnlLerp(lz0x, lz1x, ys), zs) * warpAmp;
}
// Domain Warp Simplex/OpenSimplex2
static void _fnlSingleDomainWarpSimplexGradient(int seed, float warpAmp, float frequency, FNLfloat x, FNLfloat y, inout FNLfloat xr, inout FNLfloat yr, bool outGradOnly)
{
const float SQRT3 = 1.7320508075688772935274463415059f;
const float G2 = (3 - SQRT3) / 6;
x *= frequency;
y *= frequency;
/*
* --- Skew moved to TransformNoiseCoordinate method ---
* const FNLfloat F2 = 0.5f * (SQRT3 - 1);
* FNLfloat s = (x + y) * F2;
* x += s; y += s;
*/
int i = _fnlFastFloor(x);
int j = _fnlFastFloor(y);
float xi = (float)(x - i);
float yi = (float)(y - j);
float t = (xi + yi) * G2;
float x0 = (float)(xi - t);
float y0 = (float)(yi - t);
i *= PRIME_X;
j *= PRIME_Y;
float vx, vy;
vx = vy = 0;
float a = 0.5f - x0 * x0 - y0 * y0;
if (a > 0)
{
float aaaa = (a * a) * (a * a);
float xo, yo;
if (outGradOnly)
_fnlGradCoordOut2D(seed, i, j, xo, yo);
else
_fnlGradCoordDual2D(seed, i, j, x0, y0, xo, yo);
vx += aaaa * xo;
vy += aaaa * yo;
}
float c = (float)(2 * (1 - 2 * G2) * (1 / G2 - 2)) * t + ((float)(-2 * (1 - 2 * G2) * (1 - 2 * G2)) + a);
if (c > 0)
{
float x2 = x0 + (2 * (float)G2 - 1);
float y2 = y0 + (2 * (float)G2 - 1);
float cccc = (c * c) * (c * c);
float xo, yo;
if (outGradOnly)
_fnlGradCoordOut2D(seed, i + PRIME_X, j + PRIME_Y, xo, yo);
else
_fnlGradCoordDual2D(seed, i + PRIME_X, j + PRIME_Y, x2, y2, xo, yo);
vx += cccc * xo;
vy += cccc * yo;
}
if (y0 > x0)
{
float x1 = x0 + (float)G2;
float y1 = y0 + ((float)G2 - 1);
float b = 0.5f - x1 * x1 - y1 * y1;
if (b > 0)
{
float bbbb = (b * b) * (b * b);
float xo, yo;
if (outGradOnly)
_fnlGradCoordOut2D(seed, i, j + PRIME_Y, xo, yo);
else
_fnlGradCoordDual2D(seed, i, j + PRIME_Y, x1, y1, xo, yo);
vx += bbbb * xo;
vy += bbbb * yo;
}
}
else
{
float x1 = x0 + ((float)G2 - 1);
float y1 = y0 + (float)G2;
float b = 0.5f - x1 * x1 - y1 * y1;
if (b > 0)
{
float bbbb = (b * b) * (b * b);
float xo, yo;
if (outGradOnly)
_fnlGradCoordOut2D(seed, i + PRIME_X, j, xo, yo);
else
_fnlGradCoordDual2D(seed, i + PRIME_X, j, x1, y1, xo, yo);
vx += bbbb * xo;
vy += bbbb * yo;
}
}
xr += vx * warpAmp;
yr += vy * warpAmp;
}
static void _fnlSingleDomainWarpOpenSimplex2Gradient(int seed, float warpAmp, float frequency, FNLfloat x, FNLfloat y, FNLfloat z, inout FNLfloat xr, inout FNLfloat yr, inout FNLfloat zr, bool outGradOnly)
{
x *= frequency;
y *= frequency;
z *= frequency;
/*
* --- Rotation moved to TransformDomainWarpCoordinate method ---
* const FNLfloat R3 = (FNLfloat)(2.0 / 3.0);
* FNLfloat r = (x + y + z) * R3; // Rotation, not skew
* x = r - x; y = r - y; z = r - z;
*/
int i = _fnlFastRound(x);
int j = _fnlFastRound(y);
int k = _fnlFastRound(z);
float x0 = (float)x - i;
float y0 = (float)y - j;
float z0 = (float)z - k;
int xNSign = (int)(-x0 - 1.0f) | 1;
int yNSign = (int)(-y0 - 1.0f) | 1;
int zNSign = (int)(-z0 - 1.0f) | 1;
float ax0 = xNSign * -x0;
float ay0 = yNSign * -y0;
float az0 = zNSign * -z0;
i *= PRIME_X;
j *= PRIME_Y;
k *= PRIME_Z;
float vx, vy, vz;
vx = vy = vz = 0;
float a = (0.6f - x0 * x0) - (y0 * y0 + z0 * z0);
for (int l = 0; l < 2; l++)
{
if (a > 0)
{
float aaaa = (a * a) * (a * a);
float xo, yo, zo;
if (outGradOnly)
_fnlGradCoordOut3D(seed, i, j, k, xo, yo, zo);
else
_fnlGradCoordDual3D(seed, i, j, k, x0, y0, z0, xo, yo, zo);
vx += aaaa * xo;
vy += aaaa * yo;
vz += aaaa * zo;
}
float b = a + 1;
int i1 = i;
int j1 = j;
int k1 = k;
float x1 = x0;
float y1 = y0;
float z1 = z0;
if (ax0 >= ay0 && ax0 >= az0)
{
x1 += xNSign;
b -= xNSign * 2 * x1;
i1 -= xNSign * PRIME_X;
}
else if (ay0 > ax0 && ay0 >= az0)
{
y1 += yNSign;
b -= yNSign * 2 * y1;
j1 -= yNSign * PRIME_Y;
}
else
{
z1 += zNSign;
b -= zNSign * 2 * z1;
k1 -= zNSign * PRIME_Z;
}
if (b > 0)
{
float bbbb = (b * b) * (b * b);
float xo, yo, zo;
if (outGradOnly)
_fnlGradCoordOut3D(seed, i1, j1, k1, xo, yo, zo);
else
_fnlGradCoordDual3D(seed, i1, j1, k1, x1, y1, z1, xo, yo, zo);
vx += bbbb * xo;
vy += bbbb * yo;
vz += bbbb * zo;
}
if (l == 1)
break;
ax0 = 0.5f - ax0;
ay0 = 0.5f - ay0;
az0 = 0.5f - az0;
x0 = xNSign * ax0;
y0 = yNSign * ay0;
z0 = zNSign * az0;
a += (0.75f - ax0) - (ay0 + az0);
i += (xNSign >> 1) & PRIME_X;
j += (yNSign >> 1) & PRIME_Y;
k += (zNSign >> 1) & PRIME_Z;
xNSign = -xNSign;
yNSign = -yNSign;
zNSign = -zNSign;
seed += 1293373;
}
xr += vx * warpAmp;
yr += vy * warpAmp;
zr += vz * warpAmp;
}
// ====================
// Public API
// ====================
fnl_state fnlCreateState(int seed)
{
fnl_state newState;
newState.seed = seed;
newState.frequency = 0.01f;
newState.noise_type = FNL_NOISE_OPENSIMPLEX2;
newState.rotation_type_3d = FNL_ROTATION_NONE;
newState.fractal_type = FNL_FRACTAL_NONE;
newState.octaves = 3;
newState.lacunarity = 2.0f;
newState.gain = 0.5f;
newState.weighted_strength = 0.0f;
newState.ping_pong_strength = 2.0f;
newState.cellular_distance_func = FNL_CELLULAR_DISTANCE_EUCLIDEANSQ;
newState.cellular_return_type = FNL_CELLULAR_RETURN_TYPE_DISTANCE;
newState.cellular_jitter_mod = 1.0f;
newState.domain_warp_amp = 30.0f;
newState.domain_warp_type = FNL_DOMAIN_WARP_OPENSIMPLEX2;
return newState;
}
float fnlGetNoise2D(fnl_state state, FNLfloat x, FNLfloat y)
{
_fnlTransformNoiseCoordinate2D(state, x, y);
FNL_FLATTEN switch (state.fractal_type)
{
default:
return _fnlGenNoiseSingle2D(state, state.seed, x, y);
case FNL_FRACTAL_FBM:
return _fnlGenFractalFBM2D(state, x, y);
case FNL_FRACTAL_RIDGED:
return _fnlGenFractalRidged2D(state, x, y);
case FNL_FRACTAL_PINGPONG:
return _fnlGenFractalPingPong2D(state, x, y);
}
}
float fnlGetNoise3D(fnl_state state, FNLfloat x, FNLfloat y, FNLfloat z)
{
_fnlTransformNoiseCoordinate3D(state, x, y, z);
// Select a noise type
FNL_FLATTEN switch (state.fractal_type)
{
default:
return _fnlGenNoiseSingle3D(state, state.seed, x, y, z);
case FNL_FRACTAL_FBM:
return _fnlGenFractalFBM3D(state, x, y, z);
case FNL_FRACTAL_RIDGED:
return _fnlGenFractalRidged3D(state, x, y, z);
case FNL_FRACTAL_PINGPONG:
return _fnlGenFractalPingPong3D(state, x, y, z);
}
}
void fnlDomainWarp2D(fnl_state state, inout FNLfloat x, inout FNLfloat y)
{
FNL_FLATTEN switch (state.fractal_type)
{
default:
_fnlDomainWarpSingle2D(state, x, y);
break;
case FNL_FRACTAL_DOMAIN_WARP_PROGRESSIVE:
_fnlDomainWarpFractalProgressive2D(state, x, y);
break;
case FNL_FRACTAL_DOMAIN_WARP_INDEPENDENT:
_fnlDomainWarpFractalIndependent2D(state, x, y);
break;
}
}
void fnlDomainWarp3D(fnl_state state, inout FNLfloat x, inout FNLfloat y, inout FNLfloat z)
{
FNL_FLATTEN switch (state.fractal_type)
{
default:
_fnlDomainWarpSingle3D(state, x, y, z);
break;
case FNL_FRACTAL_DOMAIN_WARP_PROGRESSIVE:
_fnlDomainWarpFractalProgressive3D(state, x, y, z);
break;
case FNL_FRACTAL_DOMAIN_WARP_INDEPENDENT:
_fnlDomainWarpFractalIndependent3D(state, x, y, z);
break;
}
}
Raw
PicoFastNoiseUtils.hlsl
/* Custom tools used by CSFastNoise.compute to generate 1D array of noise values.
* To be used in conjunction with FastNoiseLite HLSL. https://github.com/Auburn/FastNoise
*/
#include "FastNoiseLite.hlsl"
struct FastNoiseParams
{
int seed;
float weight;
float2 offset;
int noiseType;
float frequency;
int fractalType;
int octaves;
float lacunarity;
float gain;
};
float GetNoiseFromParams01(float2 samplePos, float2 noiseOrigin, FastNoiseParams params) {
if (params.weight <= 0)
return 0;
fnl_state noise = fnlCreateState(params.seed);
noise.fractal_type = params.fractalType;
noise.noise_type = params.noiseType;
noise.octaves = params.octaves;
noise.frequency = params.frequency;
noise.lacunarity = params.lacunarity;
noise.gain = params.gain;
float noiseX = samplePos.x + params.offset.x + noiseOrigin.x;
float noiseY = samplePos.y + params.offset.y + noiseOrigin.y;
return (fnlGetNoise2D(noise, noiseX, noiseY) + 1.0) * 0.5 * params.weight;
}
float GetCompositeNoise01(float2 samplePos, float2 noiseOrigin, StructuredBuffer<FastNoiseParams> noiseParamsBuffer) {
uint npbCount, npbStride = 0;
noiseParamsBuffer.GetDimensions(npbCount, npbStride);
if (npbCount <= 0)
return 0;
float h = 0;
for (uint i = 0; i < npbCount; i++) {
h += GetNoiseFromParams01(samplePos, noiseOrigin, noiseParamsBuffer[i]);
}
if (npbCount > 0)
return clamp(h / npbCount, 0, 1);
else
return 0;
}
Raw
SurfaceChunk.cs
using PicoGames.FastNoise;
using UnityEngine;
namespace PicoGames
{
[RequireComponent(typeof(FastNoiseGenerator))]
public class SurfaceChunk : MonoBehaviour
{
[SerializeField] private int patchEdgeCount = 64;
[SerializeField] private float patchEdgeSize = 1f;
[SerializeField] private float heightScale = 150;
[SerializeField] private Material surfaceMaterial;
[SerializeField] private FastNoiseGenerator noiseGen;
[SerializeField] private FastNoiseParams[] noiseParams;
private SurfaceMesh surface;
private void OnDestroy()
{
surface?.Release();
}
private void Awake()
{
noiseGen = GetComponent<FastNoiseGenerator>();
surface = new SurfaceMesh(patchEdgeCount, patchEdgeSize);
}
private void Update()
{
UpdateSurfaceGeometry();
Graphics.DrawMesh(surface.Mesh, transform.localToWorldMatrix, surfaceMaterial, 0);
}
private void UpdateSurfaceGeometry()
{
float sampleWidth = patchEdgeCount * patchEdgeSize;
float[] heights = noiseGen.GetNoiseArray(patchEdgeCount + 1, new Vector2(transform.position.x, transform.position.z), Vector2.zero, sampleWidth, noiseParams);
// Update Surface Edge Size & Update Heights Lambda
surface.EdgeSize = patchEdgeSize;
surface.SetHeights((x, y) =>
{
return heights[x + y * (patchEdgeCount + 1)] * heightScale;
});
surface.Mesh.RecalculateBounds();
surface.Mesh.RecalculateNormals();
}
}
}
Raw
SurfaceMesh.cs
/* A simple way to create a smooth 2D non-skirted plane. Useful for terrain tiles/chunks.
*
* Created by: Jacob Fletcher
*/
using System;
using UnityEngine;
namespace PicoGames
{
public class SurfaceMesh
{
private int edgeCount;
private float edgeSize;
private Mesh mesh;
public Mesh Mesh { get { return mesh; } }
public float EdgeSize { get { return edgeSize; } set { edgeSize = value; } }
public SurfaceMesh(int edgeCount, float edgeSize)
: this("New Mesh", edgeCount, edgeSize) { }
public SurfaceMesh(string name, int edgeCount, float edgeSize)
{
this.edgeCount = edgeCount;
this.edgeSize = edgeSize;
mesh = new Mesh();
mesh.name = name;
InitializeMesh();
}
public void Release()
{
if (mesh != null)
GameObject.Destroy(mesh);
}
public void SetHeights(Func<int, int, float> heightFunc)
{
int arrWidth = edgeCount + 1;
Vector3[] mVertices = mesh.vertices;
for (int x = 0, v = 0; x < arrWidth; x++)
{
for (int y = 0; y < arrWidth; y++, v++)
{
mVertices[v].Set(x * edgeSize, heightFunc(x, y), y * edgeSize);
}
}
mesh.vertices = mVertices;
}
private void InitializeMesh()
{
int arrWidth = edgeCount + 1;
Vector3[] vertices = new Vector3[arrWidth * arrWidth];
Vector2[] uv0s = new Vector2[vertices.Length];
int[] triangles = new int[edgeCount * edgeCount * 6];
for (int x = 0, v = 0, t = 0; x < arrWidth; x++)
{
for (int y = 0; y < arrWidth; y++, v++)
{
vertices[v] = new Vector3(x * edgeSize, 0, y * edgeSize); // LS Position
uv0s[v] = new Vector2(x / (float)edgeCount, y / (float)edgeCount); // Unit Mapping
// Triangulate
if(y < edgeCount && x < edgeCount)
{
triangles[t + 0] = v;
triangles[t + 4] = triangles[t + 1] = v + 1;
triangles[t + 3] = triangles[t + 2] = v + arrWidth;
triangles[t + 5] = v + arrWidth + 1;
t += 6;
}
}
}
mesh.indexFormat = (vertices.Length > 65000) ? UnityEngine.Rendering.IndexFormat.UInt32 : UnityEngine.Rendering.IndexFormat.UInt16;
mesh.vertices = vertices;
mesh.triangles = triangles;
mesh.uv = uv0s;
}
}
}
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