3124 lines
No EOL
104 KiB
C
3124 lines
No EOL
104 KiB
C
// MIT License
|
|
//
|
|
// Copyright(c) 2020 Jordan Peck (jordan.me2@gmail.com)
|
|
// 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
|
|
// ..',;:ldxO0KXXNNNNNNNNXXK0kxdolcc::::::;;;,,,,,,;;;;;;;;;;:::cclllllc:;'.... ...........',;:ldxO0KXXXK0Okxdolc::;;;;::cllodddddo
|
|
// ...',: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
|
|
|
|
// In *one* C or C++ file, use #define FNL_IMPL to generate implementation
|
|
|
|
#ifndef FASTNOISELITE_H
|
|
#define FASTNOISELITE_H
|
|
|
|
// Switch between using floats or doubles for input position
|
|
typedef float FNLfloat;
|
|
//typedef double FNLfloat;
|
|
|
|
#if defined(__cplusplus)
|
|
extern "C"
|
|
{
|
|
#endif
|
|
|
|
#include <math.h>
|
|
#include <stdint.h>
|
|
#include <stdbool.h>
|
|
#include <float.h>
|
|
|
|
// Enums
|
|
typedef enum
|
|
{
|
|
FNL_NOISE_OPENSIMPLEX2,
|
|
FNL_NOISE_OPENSIMPLEX2S,
|
|
FNL_NOISE_CELLULAR,
|
|
FNL_NOISE_PERLIN,
|
|
FNL_NOISE_VALUE_CUBIC,
|
|
FNL_NOISE_VALUE
|
|
} fnl_noise_type;
|
|
|
|
typedef enum
|
|
{
|
|
FNL_ROTATION_NONE,
|
|
FNL_ROTATION_IMPROVE_XY_PLANES,
|
|
FNL_ROTATION_IMPROVE_XZ_PLANES
|
|
} fnl_rotation_type_3d;
|
|
|
|
typedef enum
|
|
{
|
|
FNL_FRACTAL_NONE,
|
|
FNL_FRACTAL_FBM,
|
|
FNL_FRACTAL_RIDGED,
|
|
FNL_FRACTAL_PINGPONG,
|
|
FNL_FRACTAL_DOMAIN_WARP_PROGRESSIVE,
|
|
FNL_FRACTAL_DOMAIN_WARP_INDEPENDENT
|
|
} fnl_fractal_type;
|
|
|
|
typedef enum
|
|
{
|
|
FNL_CELLULAR_DISTANCE_EUCLIDEAN,
|
|
FNL_CELLULAR_DISTANCE_EUCLIDEANSQ,
|
|
FNL_CELLULAR_DISTANCE_MANHATTAN,
|
|
FNL_CELLULAR_DISTANCE_HYBRID
|
|
} fnl_cellular_distance_func;
|
|
|
|
typedef enum
|
|
{
|
|
FNL_CELLULAR_RETURN_VALUE_CELLVALUE,
|
|
FNL_CELLULAR_RETURN_VALUE_DISTANCE,
|
|
FNL_CELLULAR_RETURN_VALUE_DISTANCE2,
|
|
FNL_CELLULAR_RETURN_VALUE_DISTANCE2ADD,
|
|
FNL_CELLULAR_RETURN_VALUE_DISTANCE2SUB,
|
|
FNL_CELLULAR_RETURN_VALUE_DISTANCE2MUL,
|
|
FNL_CELLULAR_RETURN_VALUE_DISTANCE2DIV,
|
|
} fnl_cellular_return_type;
|
|
|
|
typedef enum
|
|
{
|
|
FNL_DOMAIN_WARP_OPENSIMPLEX2,
|
|
FNL_DOMAIN_WARP_OPENSIMPLEX2_REDUCED,
|
|
FNL_DOMAIN_WARP_BASICGRID
|
|
} fnl_domain_warp_type;
|
|
|
|
/**
|
|
* Structure containing entire noise system state.
|
|
* @note Must only be created using fnlCreateState(optional: seed). To ensure defaults are set.
|
|
*/
|
|
typedef 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_VALUE_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;
|
|
} fnl_state;
|
|
|
|
/**
|
|
* Creates a noise state with default values.
|
|
* @param seed Optionally set the state seed.
|
|
*/
|
|
fnl_state fnlCreateState();
|
|
|
|
/**
|
|
* 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, FNLfloat *x, 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, FNLfloat *x, FNLfloat *y, FNLfloat *z);
|
|
|
|
// ====================
|
|
// Below this line is the implementation
|
|
// ====================
|
|
|
|
#if defined(FNL_IMPL)
|
|
|
|
// 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,
|
|
-0.5764971849f, -0.07231656274f, -0.8138926898f, 0, 0.7250628871f, 0.3949971505f, -0.5641463116f, 0, -0.1525424005f, 0.4860840828f, -0.8604958341f, 0, -0.5550976208f, -0.4957820792f, 0.667882296f, 0, -0.1883614327f, 0.9145869398f, 0.357841725f, 0, 0.7625556724f, -0.5414408243f, -0.3540489801f, 0, -0.5870231946f, -0.3226498013f, -0.7424963803f, 0, 0.3051124198f, 0.2262544068f, -0.9250488391f, 0,
|
|
0.6379576059f, 0.577242424f, -0.5097070502f, 0, -0.5966775796f, 0.1454852398f, -0.7891830656f, 0, -0.658330573f, 0.6555487542f, -0.3699414651f, 0, 0.7434892426f, 0.2351084581f, 0.6260573129f, 0, 0.5562114096f, 0.8264360377f, -0.0873632843f, 0, -0.3028940016f, -0.8251527185f, 0.4768419182f, 0, 0.1129343818f, -0.985888439f, -0.1235710781f, 0, 0.5937652891f, -0.5896813806f, 0.5474656618f, 0,
|
|
0.6757964092f, -0.5835758614f, -0.4502648413f, 0, 0.7242302609f, -0.1152719764f, 0.6798550586f, 0, -0.9511914166f, 0.0753623979f, -0.2992580792f, 0, 0.2539470961f, -0.1886339355f, 0.9486454084f, 0, 0.571433621f, -0.1679450851f, -0.8032795685f, 0, -0.06778234979f, 0.3978269256f, 0.9149531629f, 0, 0.6074972649f, 0.733060024f, -0.3058922593f, 0, -0.5435478392f, 0.1675822484f, 0.8224791405f, 0,
|
|
-0.5876678086f, -0.3380045064f, -0.7351186982f, 0, -0.7967562402f, 0.04097822706f, -0.6029098428f, 0, -0.1996350917f, 0.8706294745f, 0.4496111079f, 0, -0.02787660336f, -0.9106232682f, -0.4122962022f, 0, -0.7797625996f, -0.6257634692f, 0.01975775581f, 0, -0.5211232846f, 0.7401644346f, -0.4249554471f, 0, 0.8575424857f, 0.4053272873f, -0.3167501783f, 0, 0.1045223322f, 0.8390195772f, -0.5339674439f, 0,
|
|
0.3501822831f, 0.9242524096f, -0.1520850155f, 0, 0.1987849858f, 0.07647613266f, 0.9770547224f, 0, 0.7845996363f, 0.6066256811f, -0.1280964233f, 0, 0.09006737436f, -0.9750989929f, -0.2026569073f, 0, -0.8274343547f, -0.542299559f, 0.1458203587f, 0, -0.3485797732f, -0.415802277f, 0.840000362f, 0, -0.2471778936f, -0.7304819962f, -0.6366310879f, 0, -0.3700154943f, 0.8577948156f, 0.3567584454f, 0,
|
|
0.5913394901f, -0.548311967f, -0.5913303597f, 0, 0.1204873514f, -0.7626472379f, -0.6354935001f, 0, 0.616959265f, 0.03079647928f, 0.7863922953f, 0, 0.1258156836f, -0.6640829889f, -0.7369967419f, 0, -0.6477565124f, -0.1740147258f, -0.7417077429f, 0, 0.6217889313f, -0.7804430448f, -0.06547655076f, 0, 0.6589943422f, -0.6096987708f, 0.4404473475f, 0, -0.2689837504f, -0.6732403169f, -0.6887635427f, 0,
|
|
-0.3849775103f, 0.5676542638f, 0.7277093879f, 0, 0.5754444408f, 0.8110471154f, -0.1051963504f, 0, 0.9141593684f, 0.3832947817f, 0.131900567f, 0, -0.107925319f, 0.9245493968f, 0.3654593525f, 0, 0.377977089f, 0.3043148782f, 0.8743716458f, 0, -0.2142885215f, -0.8259286236f, 0.5214617324f, 0, 0.5802544474f, 0.4148098596f, -0.7008834116f, 0, -0.1982660881f, 0.8567161266f, -0.4761596756f, 0,
|
|
-0.03381553704f, 0.3773180787f, -0.9254661404f, 0, -0.6867922841f, -0.6656597827f, 0.2919133642f, 0, 0.7731742607f, -0.2875793547f, -0.5652430251f, 0, -0.09655941928f, 0.9193708367f, -0.3813575004f, 0, 0.2715702457f, -0.9577909544f, -0.09426605581f, 0, 0.2451015704f, -0.6917998565f, -0.6792188003f, 0, 0.977700782f, -0.1753855374f, 0.1155036542f, 0, -0.5224739938f, 0.8521606816f, 0.02903615945f, 0,
|
|
-0.7734880599f, -0.5261292347f, 0.3534179531f, 0, -0.7134492443f, -0.269547243f, 0.6467878011f, 0, 0.1644037271f, 0.5105846203f, -0.8439637196f, 0, 0.6494635788f, 0.05585611296f, 0.7583384168f, 0, -0.4711970882f, 0.5017280509f, -0.7254255765f, 0, -0.6335764307f, -0.2381686273f, -0.7361091029f, 0, -0.9021533097f, -0.270947803f, -0.3357181763f, 0, -0.3793711033f, 0.872258117f, 0.3086152025f, 0,
|
|
-0.6855598966f, -0.3250143309f, 0.6514394162f, 0, 0.2900942212f, -0.7799057743f, -0.5546100667f, 0, -0.2098319339f, 0.85037073f, 0.4825351604f, 0, -0.4592603758f, 0.6598504336f, -0.5947077538f, 0, 0.8715945488f, 0.09616365406f, -0.4807031248f, 0, -0.6776666319f, 0.7118504878f, -0.1844907016f, 0, 0.7044377633f, 0.312427597f, 0.637304036f, 0, -0.7052318886f, -0.2401093292f, -0.6670798253f, 0,
|
|
0.081921007f, -0.7207336136f, -0.6883545647f, 0, -0.6993680906f, -0.5875763221f, -0.4069869034f, 0, -0.1281454481f, 0.6419895885f, 0.7559286424f, 0, -0.6337388239f, -0.6785471501f, -0.3714146849f, 0, 0.5565051903f, -0.2168887573f, -0.8020356851f, 0, -0.5791554484f, 0.7244372011f, -0.3738578718f, 0, 0.1175779076f, -0.7096451073f, 0.6946792478f, 0, -0.6134619607f, 0.1323631078f, 0.7785527795f, 0,
|
|
0.6984635305f, -0.02980516237f, -0.715024719f, 0, 0.8318082963f, -0.3930171956f, 0.3919597455f, 0, 0.1469576422f, 0.05541651717f, -0.9875892167f, 0, 0.708868575f, -0.2690503865f, 0.6520101478f, 0, 0.2726053183f, 0.67369766f, -0.68688995f, 0, -0.6591295371f, 0.3035458599f, -0.6880466294f, 0, 0.4815131379f, -0.7528270071f, 0.4487723203f, 0, 0.9430009463f, 0.1675647412f, -0.2875261255f, 0,
|
|
0.434802957f, 0.7695304522f, -0.4677277752f, 0, 0.3931996188f, 0.594473625f, 0.7014236729f, 0, 0.7254336655f, -0.603925654f, 0.3301814672f, 0, 0.7590235227f, -0.6506083235f, 0.02433313207f, 0, -0.8552768592f, -0.3430042733f, 0.3883935666f, 0, -0.6139746835f, 0.6981725247f, 0.3682257648f, 0, -0.7465905486f, -0.5752009504f, 0.3342849376f, 0, 0.5730065677f, 0.810555537f, -0.1210916791f, 0,
|
|
-0.9225877367f, -0.3475211012f, -0.167514036f, 0, -0.7105816789f, -0.4719692027f, -0.5218416899f, 0, -0.08564609717f, 0.3583001386f, 0.929669703f, 0, -0.8279697606f, -0.2043157126f, 0.5222271202f, 0, 0.427944023f, 0.278165994f, 0.8599346446f, 0, 0.5399079671f, -0.7857120652f, -0.3019204161f, 0, 0.5678404253f, -0.5495413974f, -0.6128307303f, 0, -0.9896071041f, 0.1365639107f, -0.04503418428f, 0,
|
|
-0.6154342638f, -0.6440875597f, 0.4543037336f, 0, 0.1074204368f, -0.7946340692f, 0.5975094525f, 0, -0.3595449969f, -0.8885529948f, 0.28495784f, 0, -0.2180405296f, 0.1529888965f, 0.9638738118f, 0, -0.7277432317f, -0.6164050508f, -0.3007234646f, 0, 0.7249729114f, -0.00669719484f, 0.6887448187f, 0, -0.5553659455f, -0.5336586252f, 0.6377908264f, 0, 0.5137558015f, 0.7976208196f, -0.3160000073f, 0,
|
|
-0.3794024848f, 0.9245608561f, -0.03522751494f, 0, 0.8229248658f, 0.2745365933f, -0.4974176556f, 0, -0.5404114394f, 0.6091141441f, 0.5804613989f, 0, 0.8036581901f, -0.2703029469f, 0.5301601931f, 0, 0.6044318879f, 0.6832968393f, 0.4095943388f, 0, 0.06389988817f, 0.9658208605f, -0.2512108074f, 0, 0.1087113286f, 0.7402471173f, -0.6634877936f, 0, -0.713427712f, -0.6926784018f, 0.1059128479f, 0,
|
|
0.6458897819f, -0.5724548511f, -0.5050958653f, 0, -0.6553931414f, 0.7381471625f, 0.159995615f, 0, 0.3910961323f, 0.9188871375f, -0.05186755998f, 0, -0.4879022471f, -0.5904376907f, 0.6429111375f, 0, 0.6014790094f, 0.7707441366f, -0.2101820095f, 0, -0.5677173047f, 0.7511360995f, 0.3368851762f, 0, 0.7858573506f, 0.226674665f, 0.5753666838f, 0, -0.4520345543f, -0.604222686f, -0.6561857263f, 0,
|
|
0.002272116345f, 0.4132844051f, -0.9105991643f, 0, -0.5815751419f, -0.5162925989f, 0.6286591339f, 0, -0.03703704785f, 0.8273785755f, 0.5604221175f, 0, -0.5119692504f, 0.7953543429f, -0.3244980058f, 0, -0.2682417366f, -0.9572290247f, -0.1084387619f, 0, -0.2322482736f, -0.9679131102f, -0.09594243324f, 0, 0.3554328906f, -0.8881505545f, 0.2913006227f, 0, 0.7346520519f, -0.4371373164f, 0.5188422971f, 0,
|
|
0.9985120116f, 0.04659011161f, -0.02833944577f, 0, -0.3727687496f, -0.9082481361f, 0.1900757285f, 0, 0.91737377f, -0.3483642108f, 0.1925298489f, 0, 0.2714911074f, 0.4147529736f, -0.8684886582f, 0, 0.5131763485f, -0.7116334161f, 0.4798207128f, 0, -0.8737353606f, 0.18886992f, -0.4482350644f, 0, 0.8460043821f, -0.3725217914f, 0.3814499973f, 0, 0.8978727456f, -0.1780209141f, -0.4026575304f, 0,
|
|
0.2178065647f, -0.9698322841f, -0.1094789531f, 0, -0.1518031304f, -0.7788918132f, -0.6085091231f, 0, -0.2600384876f, -0.4755398075f, -0.8403819825f, 0, 0.572313509f, -0.7474340931f, -0.3373418503f, 0, -0.7174141009f, 0.1699017182f, -0.6756111411f, 0, -0.684180784f, 0.02145707593f, -0.7289967412f, 0, -0.2007447902f, 0.06555605789f, -0.9774476623f, 0, -0.1148803697f, -0.8044887315f, 0.5827524187f, 0,
|
|
-0.7870349638f, 0.03447489231f, 0.6159443543f, 0, -0.2015596421f, 0.6859872284f, 0.6991389226f, 0, -0.08581082512f, -0.10920836f, -0.9903080513f, 0, 0.5532693395f, 0.7325250401f, -0.396610771f, 0, -0.1842489331f, -0.9777375055f, -0.1004076743f, 0, 0.0775473789f, -0.9111505856f, 0.4047110257f, 0, 0.1399838409f, 0.7601631212f, -0.6344734459f, 0, 0.4484419361f, -0.845289248f, 0.2904925424f, 0};
|
|
|
|
// 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 _fnlCasti32Tof32(int i)
|
|
{
|
|
union
|
|
{
|
|
float f;
|
|
int32_t i;
|
|
} u;
|
|
u.i = i;
|
|
return u.f;
|
|
}
|
|
|
|
static inline int _fnlCastf32Toi32(float f)
|
|
{
|
|
union
|
|
{
|
|
float f;
|
|
int32_t i;
|
|
} u;
|
|
u.f = f;
|
|
return u.i;
|
|
}
|
|
|
|
static inline float _fnlInvSqrt(float a)
|
|
{
|
|
float xhalf = 0.5f * a;
|
|
a = _fnlCasti32Tof32(0x5f3759df - (_fnlCastf32Toi32(a) >> 1));
|
|
a = a * (1.5f - xhalf * a * a);
|
|
return a;
|
|
}
|
|
|
|
// NOTE: If your language does not support this method (seen above), then simply use the native sqrt function.
|
|
static inline float _fnlFastSqrt(float a) { return a * _fnlInvSqrt(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, float *xo, 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, float *xo, float *yo, 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, float *xo, 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, float *xo, float *yo, 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)
|
|
{
|
|
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)
|
|
{
|
|
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, FNLfloat *x, 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, FNLfloat *x, FNLfloat *y, 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;
|
|
}
|
|
}
|
|
}
|
|
|
|
// Domain Warp Coordinate Transforms
|
|
|
|
static void _fnlTransformDomainWarpCoordinate2D(fnl_state *state, FNLfloat *x, 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, FNLfloat *x, FNLfloat *y, 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;
|
|
}
|
|
}
|
|
}
|
|
|
|
// 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);
|
|
|
|
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;
|
|
|
|
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);
|
|
|
|
// Nested conditionals were faster than compact bit logic/arithmetic.
|
|
float xmyi = xi - yi;
|
|
if (t > G2)
|
|
{
|
|
if (xi + xmyi > 1)
|
|
{
|
|
float x2 = x0 + (float)(3 * G2 - 2);
|
|
float y2 = y0 + (float)(3 * G2 - 1);
|
|
float a2 = (2.0f / 3.0f) - x2 * x2 - y2 * y2;
|
|
if (a2 > 0)
|
|
{
|
|
value += (a2 * a2) * (a2 * a2) * _fnlGradCoord2D(seed, i + (PRIME_X << 1), j + PRIME_Y, x2, y2);
|
|
}
|
|
}
|
|
else
|
|
{
|
|
float x2 = x0 + (float)G2;
|
|
float y2 = y0 + (float)(G2 - 1);
|
|
float a2 = (2.0f / 3.0f) - x2 * x2 - y2 * y2;
|
|
if (a2 > 0)
|
|
{
|
|
value += (a2 * a2) * (a2 * a2) * _fnlGradCoord2D(seed, i, j + PRIME_Y, x2, y2);
|
|
}
|
|
}
|
|
|
|
if (yi - xmyi > 1)
|
|
{
|
|
float x3 = x0 + (float)(3 * G2 - 1);
|
|
float y3 = y0 + (float)(3 * G2 - 2);
|
|
float a3 = (2.0f / 3.0f) - x3 * x3 - y3 * y3;
|
|
if (a3 > 0)
|
|
{
|
|
value += (a3 * a3) * (a3 * a3) * _fnlGradCoord2D(seed, i + PRIME_X, j + (PRIME_Y << 1), x3, y3);
|
|
}
|
|
}
|
|
else
|
|
{
|
|
float x3 = x0 + (float)(G2 - 1);
|
|
float y3 = y0 + (float)G2;
|
|
float a3 = (2.0f / 3.0f) - x3 * x3 - y3 * y3;
|
|
if (a3 > 0)
|
|
{
|
|
value += (a3 * a3) * (a3 * a3) * _fnlGradCoord2D(seed, i + PRIME_X, j, x3, y3);
|
|
}
|
|
}
|
|
}
|
|
else
|
|
{
|
|
if (xi + xmyi < 0)
|
|
{
|
|
float x2 = x0 + (float)(1 - G2);
|
|
float y2 = y0 - (float)G2;
|
|
float a2 = (2.0f / 3.0f) - x2 * x2 - y2 * y2;
|
|
if (a2 > 0)
|
|
{
|
|
value += (a2 * a2) * (a2 * a2) * _fnlGradCoord2D(seed, i - PRIME_X, j, x2, y2);
|
|
}
|
|
}
|
|
else
|
|
{
|
|
float x2 = x0 + (float)(G2 - 1);
|
|
float y2 = y0 + (float)G2;
|
|
float a2 = (2.0f / 3.0f) - x2 * x2 - y2 * y2;
|
|
if (a2 > 0)
|
|
{
|
|
value += (a2 * a2) * (a2 * a2) * _fnlGradCoord2D(seed, i + PRIME_X, j, x2, y2);
|
|
}
|
|
}
|
|
|
|
if (yi < xmyi)
|
|
{
|
|
float x2 = x0 - (float)G2;
|
|
float y2 = y0 - (float)(G2 - 1);
|
|
float a2 = (2.0f / 3.0f) - x2 * x2 - y2 * y2;
|
|
if (a2 > 0)
|
|
{
|
|
value += (a2 * a2) * (a2 * a2) * _fnlGradCoord2D(seed, i, j - PRIME_Y, x2, y2);
|
|
}
|
|
}
|
|
else
|
|
{
|
|
float x2 = x0 + (float)G2;
|
|
float y2 = y0 + (float)(G2 - 1);
|
|
float a2 = (2.0f / 3.0f) - x2 * x2 - y2 * y2;
|
|
if (a2 > 0)
|
|
{
|
|
value += (a2 * a2) * (a2 * a2) * _fnlGradCoord2D(seed, i, j + PRIME_Y, x2, y2);
|
|
}
|
|
}
|
|
}
|
|
|
|
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 = FLT_MAX;
|
|
float distance1 = FLT_MAX;
|
|
int closestHash = 0;
|
|
|
|
float cellularJitter = 0.5f * state->cellular_jitter_mod;
|
|
|
|
int xPrimed = (xr - 1) * PRIME_X;
|
|
int yPrimedBase = (yr - 1) * PRIME_Y;
|
|
|
|
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;
|
|
}
|
|
|
|
if (state->cellular_distance_func == FNL_CELLULAR_DISTANCE_EUCLIDEAN && state->cellular_return_type >= FNL_CELLULAR_RETURN_VALUE_DISTANCE)
|
|
{
|
|
distance0 = _fnlFastSqrt(distance0);
|
|
if (state->cellular_return_type >= FNL_CELLULAR_RETURN_VALUE_DISTANCE2)
|
|
distance1 = _fnlFastSqrt(distance1);
|
|
}
|
|
|
|
switch (state->cellular_return_type)
|
|
{
|
|
case FNL_CELLULAR_RETURN_VALUE_CELLVALUE:
|
|
return closestHash * (1 / 2147483648.0f);
|
|
case FNL_CELLULAR_RETURN_VALUE_DISTANCE:
|
|
return distance0 - 1;
|
|
case FNL_CELLULAR_RETURN_VALUE_DISTANCE2:
|
|
return distance1 - 1;
|
|
case FNL_CELLULAR_RETURN_VALUE_DISTANCE2ADD:
|
|
return (distance1 + distance0) * 0.5f - 1;
|
|
case FNL_CELLULAR_RETURN_VALUE_DISTANCE2SUB:
|
|
return distance1 - distance0 - 1;
|
|
case FNL_CELLULAR_RETURN_VALUE_DISTANCE2MUL:
|
|
return distance1 * distance0 * 0.5f - 1;
|
|
case FNL_CELLULAR_RETURN_VALUE_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 = FLT_MAX;
|
|
float distance1 = FLT_MAX;
|
|
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_VALUE_DISTANCE)
|
|
{
|
|
distance0 = _fnlFastSqrt(distance0);
|
|
if (state->cellular_return_type >= FNL_CELLULAR_RETURN_VALUE_DISTANCE2)
|
|
distance1 = _fnlFastSqrt(distance1);
|
|
}
|
|
|
|
switch (state->cellular_return_type)
|
|
{
|
|
case FNL_CELLULAR_RETURN_VALUE_CELLVALUE:
|
|
return closestHash * (1 / 2147483648.0f);
|
|
case FNL_CELLULAR_RETURN_VALUE_DISTANCE:
|
|
return distance0 - 1;
|
|
case FNL_CELLULAR_RETURN_VALUE_DISTANCE2:
|
|
return distance1 - 1;
|
|
case FNL_CELLULAR_RETURN_VALUE_DISTANCE2ADD:
|
|
return (distance1 + distance0) * 0.5f - 1;
|
|
case FNL_CELLULAR_RETURN_VALUE_DISTANCE2SUB:
|
|
return distance1 - distance0 - 1;
|
|
case FNL_CELLULAR_RETURN_VALUE_DISTANCE2MUL:
|
|
return distance1 * distance0 * 0.5f - 1;
|
|
case FNL_CELLULAR_RETURN_VALUE_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 + (int)((long)PRIME_X << 1);
|
|
int y3 = y1 + (int)((long)PRIME_Y << 1);
|
|
|
|
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 + (int)((long)PRIME_X << 1);
|
|
int y3 = y1 + (int)((long)PRIME_Y << 1);
|
|
int z3 = z1 + (int)((long)PRIME_Z << 1);
|
|
|
|
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, FNLfloat *xp, FNLfloat *yp);
|
|
static void _fnlSingleDomainWarpBasicGrid3D(int seed, float warpAmp, float frequency, FNLfloat x, FNLfloat y, FNLfloat z, FNLfloat *xp, FNLfloat *yp, FNLfloat *zp);
|
|
static void _fnlSingleDomainWarpSimplexGradient(int seed, float warpAmp, float frequency, FNLfloat x, FNLfloat y, FNLfloat *xr, FNLfloat *yr, bool outGradOnly);
|
|
static void _fnlSingleDomainWarpOpenSimplex2Gradient(int seed, float warpAmp, float frequency, FNLfloat x, FNLfloat y, FNLfloat z, FNLfloat *xr, FNLfloat *yr, FNLfloat *zr, bool outGradOnly);
|
|
|
|
static inline void _fnlDoSingleDomainWarp2D(fnl_state *state, int seed, float amp, float freq, FNLfloat x, FNLfloat y, FNLfloat *xp, FNLfloat *yp)
|
|
{
|
|
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 inline void _fnlDoSingleDomainWarp3D(fnl_state *state, int seed, float amp, float freq, FNLfloat x, FNLfloat y, FNLfloat z, FNLfloat *xp, FNLfloat *yp, FNLfloat *zp)
|
|
{
|
|
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, FNLfloat *x, 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, FNLfloat *x, FNLfloat *y, 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, FNLfloat *x, 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, FNLfloat *x, FNLfloat *y, 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, FNLfloat *x, 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, FNLfloat *x, FNLfloat *y, 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, FNLfloat *xp, 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, FNLfloat *xp, FNLfloat *yp, 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, FNLfloat *xr, 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, FNLfloat *xr, FNLfloat *yr, 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()
|
|
{
|
|
fnl_state newState;
|
|
newState.seed = 0;
|
|
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_VALUE_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);
|
|
|
|
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
|
|
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, FNLfloat *x, FNLfloat *y)
|
|
{
|
|
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, FNLfloat *x, FNLfloat *y, FNLfloat *z)
|
|
{
|
|
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;
|
|
}
|
|
}
|
|
|
|
#endif // FNL_IMPL
|
|
|
|
#if defined(__cplusplus)
|
|
}
|
|
#endif
|
|
|
|
#endif // FASTNOISELITE_H
|