Merge pull request #1 from Overdrivr/master

Merged Noise module
This commit is contained in:
Lynix 2012-06-12 01:35:08 -07:00
commit b1632842ae
27 changed files with 2232 additions and 2 deletions

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project "NazaraNoise"
files
{
"../include/Nazara/Noise/**.hpp",
"../include/Nazara/Noise/**.inl",
"../src/Nazara/Noise/**.hpp",
"../src/Nazara/Noise/**.cpp"
}
if (os.is("windows")) then
excludes { "../src/Nazara/Noise/Posix/*.hpp", "../src/Nazara/Noise/Posix/*.cpp" }
else
excludes { "../src/Nazara/Noise/Win32/*.hpp", "../src/Nazara/Noise/Win32/*.cpp" }
end
configuration "DebugStatic"
links "NazaraCored-s"
targetname "NazaraNoised"
configuration "ReleaseStatic"
links "NazaraCore-s"
targetname "NazaraNoise"
configuration "DebugDLL"
links "NazaraCored"
targetname "NazaraNoised"
configuration "ReleaseDLL"
links "NazaraCore"
targetname "NazaraNoise"

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// Copyright (C) 2012 Rémi Bèges
// This file is part of the "Nazara Engine".
// For conditions of distribution and use, see copyright notice in Config.hpp
#pragma once
#ifndef COMPLEXNOISEBASE_HPP
#define COMPLEXNOISEBASE_HPP
#include <Nazara/Prerequesites.hpp>
#include <Nazara/Noise/NoiseBase.hpp>
class NAZARA_API NzComplexNoiseBase : public NzNoiseBase
{
public:
NzComplexNoiseBase();
~NzComplexNoiseBase() = default;
void SetLacunarity(float lacunarity);
void SetHurstParameter(float h);
void SetOctavesNumber(float octaves);
void RecomputeExponentArray();
protected:
float m_lacunarity;
float m_hurst;
float m_octaves;
float exponent_array[30];
float m_sum;
private:
bool m_parametersModified;
};
#endif // COMPLEXNOISEBASE_HPP

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/*
Nazara Engine
Copyright (C) 2012 Jérôme "Lynix" Leclercq (Lynix680@gmail.com)
Nazara Engine - NzNoise Module
Copyright (C) 2012 Rémi "Overdrivr" Bèges (remi.beges@laposte.net)
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.
*/
#pragma once
#ifndef NAZARA_CONFIG_NOISE_HPP
#define NAZARA_CONFIG_NOISE_HPP
/// Chaque modification d'un paramètre du module nécessite une recompilation de celui-ci
// Utilise un tracker pour repérer les éventuels leaks (Ralentit l'exécution)
#define NAZARA_NOISE_MEMORYLEAKTRACKER 0
// Active les tests de sécurité basés sur le code (Conseillé pour le développement)
#define NAZARA_NOISE_SAFE 1
#endif // NAZARA_CONFIG_MODULENAME_HPP

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// Copyright (C) 2012 Rémi "Overdrivr" Bèges (remi.beges@laposte.net)
// This file is part of the "Nazara Engine".
// For conditions of distribution and use, see copyright notice in Config.hpp
#include <Nazara/Noise/Config.hpp>
#if NAZARA_NOISE_MEMORYLEAKTRACKER || defined(NAZARA_DEBUG)
#include <Nazara/Core/Debug/MemoryLeakTracker.hpp>
#define delete NzMemoryManager::NextFree(__FILE__, __LINE__), delete
#define new new(__FILE__, __LINE__)
#endif

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// Copyright (C) 2012 Rémi "Overdrivr" Bèges (remi.beges@laposte.net)
// This file is part of the "Nazara Engine".
// For conditions of distribution and use, see copyright notice in Config.hpp
#if NAZARA_NOISE_MEMORYLEAKTRACKER || defined(NAZARA_DEBUG)
#undef delete
#undef new
#endif

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// Copyright (C) 2012 Rémi Bèges
// This file is part of the "Nazara Engine".
// For conditions of distribution and use, see copyright notice in Config.hpp
#pragma once
#ifndef NAZARA_NOISE_HPP
#define NAZARA_NOISE_HPP
#include <Nazara/Prerequesites.hpp>
class NAZARA_API NzNoise
{
public:
NzNoise();
~NzNoise();
bool Initialize();
void Uninitialize();
static bool IsInitialized();
private:
static bool s_initialized;
};
#endif // NOISE_HPP

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// Copyright (C) 2012 Rémi Bèges
// This file is part of the "Nazara Engine".
// For conditions of distribution and use, see copyright notice in Config.hpp
#pragma once
#ifndef NOISEBASE_HPP
#define NOISEBASE_HPP
#include <Nazara/Prerequesites.hpp>
class NAZARA_API NzNoiseBase
{
public:
NzNoiseBase(int seed = 0);
~NzNoiseBase() = default;
void SetNewSeed(int seed);
int GetUniformRandomValue();
void ShufflePermutationTable();
int fastfloor(float n);
int JenkinsHash(int a, int b, int c);
protected:
int perm[512];
private:
int Ua, Uc, Um;
int UcurrentSeed;
int Uprevious, Ulast;
};
#endif // NOISEBASE_HPP

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// Copyright (C) 2012 Rémi Bèges
// This file is part of the "Nazara Engine".
// For conditions of distribution and use, see copyright notice in Config.hpp
#pragma once
#ifndef NOISEMACHINE_HPP
#define NOISEMACHINE_HPP
#include <Nazara/Prerequesites.hpp>
#include <Nazara/Noise/ComplexNoiseBase.hpp>
#include <Nazara/Math/Vector2.hpp>
#include <Nazara/Math/Vector3.hpp>
#include <Nazara/Math/Vector4.hpp>
class NAZARA_API NzNoiseMachine : public NzComplexNoiseBase
{
public:
NzNoiseMachine(int seed = 0);
~NzNoiseMachine() = default;
float Get2DPerlinNoiseValue (float x, float y, float res);
float Get3DPerlinNoiseValue (float x, float y, float z, float res);
float Get4DPerlinNoiseValue (float x, float y, float z, float w, float res);
float Get2DSimplexNoiseValue(float x, float y, float res);
float Get3DSimplexNoiseValue(float x, float y, float z, float res);
float Get4DSimplexNoiseValue(float x, float y, float z, float w, float res);
float Get2DCellNoiseValue(float x, float y, float res);
float Get3DCellNoiseValue(float x, float y, float z, float res);
float Get4DCellNoiseValue(float x, float y, float z, float w, float res);
float Get2DFBMNoiseValue(float x, float y, float res);
float Get3DFBMNoiseValue(float x, float y, float z, float res);
float Get2DHybridMultiFractalNoiseValue(float x, float y, float res);
float Get3DHybridMultiFractalNoiseValue(float x, float y, float z, float res);
protected:
private:
float gradient2[8][2];
int gradient3[16][3];
int gradient4[32][4];
int lookupTable4D[64][4];
//----------------------- Common variables --------------------------------------
int ii,jj,kk,ll;
int gi0,gi1,gi2,gi3,gi4,gi5,gi6,gi7,gi8,gi9,gi10,gi11,gi12,gi13,gi14,gi15;
//----------------------- Simplex variables --------------------------------------
float n1, n2, n3, n4, n5;
NzVector4f d1,d2,d3,d4,d5,unskewedCubeOrigin,unskewedDistToOrigin;
NzVector4i off1, off2,off3,skewedCubeOrigin;
float c1,c2,c3,c4,c5,c6;
int c;
float SkewCoeff2D;
float UnskewCoeff2D;
float SkewCoeff3D;
float UnskewCoeff3D;
float SkewCoeff4D;
float UnskewCoeff4D;
float sum;
//----------------------- Perlin Variables -------------------------------------
int x0,y0,z0,w0;
float Li1,Li2,Li3,Li4,Li5,Li6,Li7,Li8,Li9,Li10,Li11,Li12,Li13,Li14;
float s[4],t[4],u[4],v[4];
float Cx, Cy, Cz, Cw;
NzVector4f temp;
float tmp;
//---------------------- Complex Noise Variables --------------------------------
bool first;
float value;
float remainder;
float smax;
float smin;
};
#endif // NOISEMACHINE_HPP

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// Copyright (C) 2012 Rémi Bèges
// This file is part of the "Nazara Engine".
// For conditions of distribution and use, see copyright notice in Config.hpp
#pragma once
#ifndef PERLIN2D_HPP
#define PERLIN2D_HPP
#include <Nazara/Prerequesites.hpp>
#include <Nazara/Noise/NoiseBase.hpp>
#include <Nazara/Math/Vector2.hpp>
template <typename T> class NAZARA_API NzPerlin2D : public NzNoiseBase
{
public:
NzPerlin2D();
T GetValue(T x, T y, T res);
~NzPerlin2D() = default;
protected:
private:
int x0, y0;
int gi0,gi1,gi2,gi3;
int ii, jj;
T gradient2[8][2];
T s,t,u,v;
T Cx,Cy;
T Li1, Li2;
NzVector2<T> temp;
};
typedef NzPerlin2D<float> NzPerlin2Df;
typedef NzPerlin2D<double> NzPerlin2Dd;
#include <Nazara/Noise/Perlin2D.inl>
#endif // PERLIN2D_HPP

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// Copyright (C) 2012 Rémi Bèges
// This file is part of the "Nazara Engine".
// For conditions of distribution and use, see copyright notice in Config.hpp
#include <Nazara/Core/Error.hpp>
#include <Nazara/Noise/Config.hpp>
#include <Nazara/Noise/Debug.hpp>
template <typename T>
NzPerlin2D<T>::NzPerlin2D()
{
T grad2Temp[][2] = {{1,1},{-1,1},{1,-1},{-1,-1},
{1,0},{-1,0},{0,1},{0,-1}};
for(int i(0) ; i < 8 ; ++i)
for(int j(0) ; j < 2 ; ++j)
gradient2[i][j] = grad2Temp[i][j];
}
template <typename T>
T NzPerlin2D<T>::GetValue(T x, T y, T res)
{
x /= res;
y /= res;
x0 = fastfloor(x);
y0 = fastfloor(y);
ii = x0 & 255;
jj = y0 & 255;
gi0 = perm[ii + perm[jj]] & 7;
gi1 = perm[ii + 1 + perm[jj]] & 7;
gi2 = perm[ii + perm[jj + 1]] & 7;
gi3 = perm[ii + 1 + perm[jj + 1]] & 7;
temp.x = x-x0;
temp.y = y-y0;
Cx = temp.x * temp.x * temp.x * (temp.x * (temp.x * 6 - 15) + 10);
Cy = temp.y * temp.y * temp.y * (temp.y * (temp.y * 6 - 15) + 10);
s = gradient2[gi0][0]*temp.x + gradient2[gi0][1]*temp.y;
temp.x = x-(x0+1);
t = gradient2[gi1][0]*temp.x + gradient2[gi1][1]*temp.y;
temp.y = y-(y0+1);
v = gradient2[gi3][0]*temp.x + gradient2[gi3][1]*temp.y;
temp.x = x-x0;
u = gradient2[gi2][0]*temp.x + gradient2[gi2][1]*temp.y;
Li1 = s + Cx*(t-s);
Li2 = u + Cx*(v-u);
return Li1 + Cy*(Li2-Li1);
}
#include <Nazara/Core/DebugOff.hpp>

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// Copyright (C) 2012 Rémi Bèges
// This file is part of the "Nazara Engine".
// For conditions of distribution and use, see copyright notice in Config.hpp
#pragma once
#ifndef PERLIN3D_HPP
#define PERLIN3D_HPP
#include <Nazara/Prerequesites.hpp>
#include <Nazara/Noise/NoiseBase.hpp>
#include <Nazara/Math/Vector3.hpp>
template <typename T> class NAZARA_API NzPerlin3D : public NzNoiseBase
{
public:
NzPerlin3D();
T GetValue(T x, T y, T z, T res);
~NzPerlin3D() = default;
protected:
private:
int x0,y0,z0;
int gi0,gi1,gi2,gi3,gi4,gi5,gi6,gi7;
int ii,jj,kk;
int gradient3[16][3];
T Li1,Li2,Li3,Li4,Li5,Li6;
T s[2],t[2],u[2],v[2];
T Cx,Cy,Cz;
T nx,ny,nz;
T tmp;
NzVector3<T> temp;
};
typedef NzPerlin3D<float> NzPerlin3Df;
typedef NzPerlin3D<double> NzPerlin3Dd;
#include <Nazara/Noise/Perlin3D.inl>
#endif // PERLIN3D_HPP

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// Copyright (C) 2012 Rémi Bèges
// This file is part of the "Nazara Engine".
// For conditions of distribution and use, see copyright notice in Config.hpp
#include <Nazara/Core/Error.hpp>
#include <Nazara/Noise/Config.hpp>
#include <Nazara/Noise/Debug.hpp>
template <typename T>
NzPerlin3D<T>::NzPerlin3D()
{
int grad3Temp[][3] = {
{1,1,0},{-1,1,0},{1,-1,0},{-1,-1,0},
{1,0,1},{-1,0,1},{1,0,-1},{-1,0,-1},
{0,1,1},{0,-1,1},{0,1,-1},{0,-1,-1},
{1,1,0},{-1,1,0},{0,-1,1},{0,-1,-1}
};
for(int i(0) ; i < 16 ; ++i)
for(int j(0) ; j < 3 ; ++j)
gradient3[i][j] = grad3Temp[i][j];
}
template <typename T>
T NzPerlin3D<T>::GetValue(T x, T y, T z, T res)
{
x /= res;
y /= res;
z /= res;
x0 = fastfloor(x);
y0 = fastfloor(y);
z0 = fastfloor(z);
ii = x0 & 255;
jj = y0 & 255;
kk = z0 & 255;
gi0 = perm[ii + perm[jj + perm[kk]]] & 15;
gi1 = perm[ii + 1 + perm[jj + perm[kk]]] & 15;
gi2 = perm[ii + perm[jj + 1 + perm[kk]]] & 15;
gi3 = perm[ii + 1 + perm[jj + 1 + perm[kk]]] & 15;
gi4 = perm[ii + perm[jj + perm[kk + 1]]] & 15;
gi5 = perm[ii + 1 + perm[jj + perm[kk + 1]]] & 15;
gi6 = perm[ii + perm[jj + 1 + perm[kk + 1]]] & 15;
gi7 = perm[ii + 1 + perm[jj + 1 + perm[kk + 1]]] & 15;
temp.x = x-x0;
temp.y = y-y0;
temp.z = z-z0;
Cx = temp.x * temp.x * temp.x * (temp.x * (temp.x * 6 - 15) + 10);
Cy = temp.y * temp.y * temp.y * (temp.y * (temp.y * 6 - 15) + 10);
Cz = temp.z * temp.z * temp.z * (temp.z * (temp.z * 6 - 15) + 10);
s[0] = gradient3[gi0][0]*temp.x + gradient3[gi0][1]*temp.y + gradient3[gi0][2]*temp.z;
temp.x = x-(x0+1);
t[0] = gradient3[gi1][0]*temp.x + gradient3[gi1][1]*temp.y + gradient3[gi1][2]*temp.z;
temp.y = y-(y0+1);
v[0] = gradient3[gi3][0]*temp.x + gradient3[gi3][1]*temp.y + gradient3[gi3][2]*temp.z;
temp.x = x-x0;
u[0] = gradient3[gi2][0]*temp.x + gradient3[gi2][1]*temp.y + gradient3[gi2][2]*temp.z;
temp.y = y-y0;
temp.z = z-(z0+1);
s[1] = gradient3[gi4][0]*temp.x + gradient3[gi4][1]*temp.y + gradient3[gi4][2]*temp.z;
temp.x = x-(x0+1);
t[1] = gradient3[gi5][0]*temp.x + gradient3[gi5][1]*temp.y + gradient3[gi5][2]*temp.z;
temp.y = y-(y0+1);
v[1] = gradient3[gi7][0]*temp.x + gradient3[gi7][1]*temp.y + gradient3[gi7][2]*temp.z;
temp.x = x-x0;
u[1] = gradient3[gi6][0]*temp.x + gradient3[gi6][1]*temp.y + gradient3[gi6][2]*temp.z;
Li1 = s[0] + Cx*(t[0]-s[0]);
Li2 = u[0] + Cx*(v[0]-u[0]);
Li3 = s[1] + Cx*(t[1]-s[1]);
Li4 = u[1] + Cx*(v[1]-u[1]);
Li5 = Li1 + Cy*(Li2-Li1);
Li6 = Li3 + Cy*(Li4-Li3);
return Li5 + Cz*(Li6-Li5);
}
#include <Nazara/Core/DebugOff.hpp>

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// Copyright (C) 2012 Rémi Bèges
// This file is part of the "Nazara Engine".
// For conditions of distribution and use, see copyright notice in Config.hpp
#pragma once
#ifndef PERLIN4D_HPP
#define PERLIN4D_HPP
#include <Nazara/Prerequesites.hpp>
#include <Nazara/Noise/NoiseBase.hpp>
#include <Nazara/Math/Vector4.hpp>
template <typename T> class NAZARA_API NzPerlin4D : public NzNoiseBase
{
public:
NzPerlin4D();
T GetValue(T x, T y, T z, T w, T res);
~NzPerlin4D() = default;
protected:
private:
int x0,y0,z0,w0;
int gi0,gi1,gi2,gi3,gi4,gi5,gi6,gi7,gi8,gi9,gi10,gi11,gi12,gi13,gi14,gi15;
int ii,jj,kk,ll;
int gradient4[32][4];
T Li1,Li2,Li3,Li4,Li5,Li6,Li7,Li8,Li9,Li10,Li11,Li12,Li13,Li14;
T s[4],t[4],u[4],v[4];
T Cx,Cy,Cz,Cw;
T nx,ny,nz,nw;
T tmp;
NzVector4<T> temp;
};
typedef NzPerlin4D<float> NzPerlin4Df;
typedef NzPerlin4D<double> NzPerlin4Dd;
#include <Nazara/Noise/Perlin4D.inl>
#endif // PERLIN4D_HPP

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// Copyright (C) 2012 Rémi Bèges
// This file is part of the "Nazara Engine".
// For conditions of distribution and use, see copyright notice in Config.hpp
#include <Nazara/Core/Error.hpp>
#include <Nazara/Noise/Config.hpp>
#include <Nazara/Noise/Debug.hpp>
template <typename T>
NzPerlin4D<T>::NzPerlin4D()
{
int grad4Temp[][4] =
{
{0,1,1,1}, {0,1,1,-1}, {0,1,-1,1}, {0,1,-1,-1},
{0,-1,1,1},{0,-1,1,-1},{0,-1,-1,1},{0,-1,-1,-1},
{1,0,1,1}, {1,0,1,-1}, {1,0,-1,1}, {1,0,-1,-1},
{-1,0,1,1},{-1,0,1,-1},{-1,0,-1,1},{-1,0,-1,-1},
{1,1,0,1}, {1,1,0,-1}, {1,-1,0,1}, {1,-1,0,-1},
{-1,1,0,1},{-1,1,0,-1},{-1,-1,0,1},{-1,-1,0,-1},
{1,1,1,0}, {1,1,-1,0}, {1,-1,1,0}, {1,-1,-1,0},
{-1,1,1,0},{-1,1,-1,0},{-1,-1,1,0},{-1,-1,-1,0}
};
for(int i(0) ; i < 32 ; ++i)
for(int j(0) ; j < 4 ; ++j)
gradient4[i][j] = grad4Temp[i][j];
}
template <typename T>
T NzPerlin4D<T>::GetValue(T x, T y, T z, T w, T res)
{
nx = x/res;
ny = y/res;
nz = z/res;
nw = w/res;
x0 = fastfloor(nx);
y0 = fastfloor(ny);
z0 = fastfloor(nz);
w0 = fastfloor(nw);
ii = x0 & 255;
jj = y0 & 255;
kk = z0 & 255;
ll = w0 & 255;
gi0 = perm[ii + perm[jj + perm[kk + perm[ll ]]]] & 31;
gi1 = perm[ii + 1 + perm[jj + perm[kk + perm[ll ]]]] & 31;
gi2 = perm[ii + perm[jj + 1 + perm[kk + perm[ll ]]]] & 31;
gi3 = perm[ii + 1 + perm[jj + 1 + perm[kk + perm[ll ]]]] & 31;
gi4 = perm[ii + perm[jj + + perm[kk + 1 + perm[ll ]]]] & 31;
gi5 = perm[ii + 1 + perm[jj + + perm[kk + 1 + perm[ll ]]]] & 31;
gi6 = perm[ii + perm[jj + 1 + perm[kk + 1 + perm[ll ]]]] & 31;
gi7 = perm[ii + 1 + perm[jj + 1 + perm[kk + 1 + perm[ll ]]]] & 31;
gi8 = perm[ii + perm[jj + perm[kk + perm[ll + 1]]]] & 31;
gi9 = perm[ii + 1 + perm[jj + perm[kk + perm[ll + 1]]]] & 31;
gi10 = perm[ii + perm[jj + 1 + perm[kk + perm[ll + 1]]]] & 31;
gi11 = perm[ii + 1 + perm[jj + 1 + perm[kk + perm[ll + 1]]]] & 31;
gi12 = perm[ii + perm[jj + perm[kk + 1 + perm[ll + 1]]]] & 31;
gi13 = perm[ii + 1 + perm[jj + perm[kk + 1 + perm[ll + 1]]]] & 31;
gi14 = perm[ii + perm[jj + 1 + perm[kk + 1 + perm[ll + 1]]]] & 31;
gi15 = perm[ii + 1 + perm[jj + 1 + perm[kk + 1 + perm[ll + 1]]]] & 31;
temp.x = nx-x0;
temp.y = ny-y0;
temp.z = nz-z0;
temp.w = nw-w0;
Cx = temp.x * temp.x * temp.x * (temp.x * (temp.x * 6 - 15) + 10);
Cy = temp.y * temp.y * temp.y * (temp.y * (temp.y * 6 - 15) + 10);
Cz = temp.z * temp.z * temp.z * (temp.z * (temp.z * 6 - 15) + 10);
Cw = temp.w * temp.w * temp.w * (temp.w * (temp.w * 6 - 15) + 10);
s[0] = gradient4[gi0][0]*temp.x + gradient4[gi0][1]*temp.y + gradient4[gi0][2]*temp.z + gradient4[gi0][3]*temp.w;
temp.x = nx-(x0+1);
t[0] = gradient4[gi1][0]*temp.x + gradient4[gi1][1]*temp.y + gradient4[gi1][2]*temp.z + gradient4[gi1][3]*temp.w;
temp.y = ny-(y0+1);
v[0] = gradient4[gi3][0]*temp.x + gradient4[gi3][1]*temp.y + gradient4[gi3][2]*temp.z + gradient4[gi3][3]*temp.w;
temp.x = nx-x0;
u[0] = gradient4[gi2][0]*temp.x + gradient4[gi2][1]*temp.y + gradient4[gi2][2]*temp.z + gradient4[gi2][3]*temp.w;
temp.y = ny-y0;
temp.z = nz-(z0+1);
s[1] = gradient4[gi4][0]*temp.x + gradient4[gi4][1]*temp.y + gradient4[gi4][2]*temp.z + gradient4[gi4][3]*temp.w;
temp.x = nx-(x0+1);
t[1] = gradient4[gi5][0]*temp.x + gradient4[gi5][1]*temp.y + gradient4[gi5][2]*temp.z + gradient4[gi5][3]*temp.w;
temp.y = ny-(y0+1);
v[1] = gradient4[gi7][0]*temp.x + gradient4[gi7][1]*temp.y + gradient4[gi7][2]*temp.z + gradient4[gi7][3]*temp.w;
temp.x = nx-x0;
u[1] = gradient4[gi6][0]*temp.x + gradient4[gi6][1]*temp.y + gradient4[gi6][2]*temp.z + gradient4[gi6][3]*temp.w;
temp.y = ny-y0;
temp.z = nz-z0;
temp.w = nw-(w0+1);
s[2] = gradient4[gi8][0]*temp.x + gradient4[gi8][1]*temp.y + gradient4[gi8][2]*temp.z + gradient4[gi8][3]*temp.w;
temp.x = nx-(x0+1);
t[2] = gradient4[gi9][0]*temp.x + gradient4[gi9][1]*temp.y + gradient4[gi9][2]*temp.z + gradient4[gi9][3]*temp.w;
temp.y = ny-(y0+1);
v[2] = gradient4[gi11][0]*temp.x + gradient4[gi11][1]*temp.y + gradient4[gi11][2]*temp.z + gradient4[gi11][3]*temp.w;
temp.x = nx-x0;
u[2] = gradient4[gi10][0]*temp.x + gradient4[gi10][1]*temp.y + gradient4[gi10][2]*temp.z + gradient4[gi10][3]*temp.w;
temp.y = ny-y0;
temp.z = nz-(z0+1);
s[3] = gradient4[gi12][0]*temp.x + gradient4[gi12][1]*temp.y + gradient4[gi12][2]*temp.z + gradient4[gi12][3]*temp.w;
temp.x = nx-(x0+1);
t[3] = gradient4[gi13][0]*temp.x + gradient4[gi13][1]*temp.y + gradient4[gi13][2]*temp.z + gradient4[gi13][3]*temp.w;
temp.y = ny-(y0+1);
v[3] = gradient4[gi15][0]*temp.x + gradient4[gi15][1]*temp.y + gradient4[gi15][2]*temp.z + gradient4[gi15][3]*temp.w;
temp.x = nx-x0;
u[3] = gradient4[gi14][0]*temp.x + gradient4[gi14][1]*temp.y + gradient4[gi14][2]*temp.z + gradient4[gi14][3]*temp.w;
Li1 = s[0] + Cx*(t[0]-s[0]);
Li2 = u[0] + Cx*(v[0]-u[0]);
Li3 = s[1] + Cx*(t[1]-s[1]);
Li4 = u[1] + Cx*(v[1]-u[1]);
Li5 = s[2] + Cx*(t[2]-s[2]);
Li6 = u[2] + Cx*(v[2]-u[2]);
Li7 = s[3] + Cx*(t[3]-s[3]);
Li8 = u[3] + Cx*(v[3]-u[3]);
Li9 = Li1 + Cy*(Li2-Li1);
Li10 = Li3 + Cy*(Li4-Li3);
Li11 = Li5 + Cy*(Li6-Li5);
Li12 = Li7 + Cy*(Li8-Li7);
Li13 = Li9 + Cz*(Li10-Li9);
Li14 = Li11 + Cz*(Li12-Li11);
return Li13 + Cw*(Li14-Li13);
}
#include <Nazara/Core/DebugOff.hpp>

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// Copyright (C) 2012 Rémi Bèges
// This file is part of the "Nazara Engine".
// For conditions of distribution and use, see copyright notice in Config.hpp
#pragma once
#ifndef SIMPLEX2D_HPP
#define SIMPLEX2D_HPP
#include <Nazara/Prerequesites.hpp>
#include <Nazara/Noise/NoiseBase.hpp>
#include <Nazara/Math/Vector2.hpp>
template <typename T> class NAZARA_API NzSimplex2D : public NzNoiseBase
{
public:
NzSimplex2D();
T GetValue(T x, T y, T res);
~NzSimplex2D() = default;
protected:
private:
int ii,jj;
int gi0,gi1,gi2;
NzVector2i skewedCubeOrigin,off1;
T n1,n2,n3;
T c1,c2,c3;
T gradient2[8][2];
T UnskewCoeff2D;
T SkewCoeff2D;
T sum;
NzVector2<T> unskewedCubeOrigin, unskewedDistToOrigin;
NzVector2<T> d1,d2,d3;
};
typedef NzSimplex2D<float> NzSimplex2Df;
typedef NzSimplex2D<double> NzSimplex2Dd;
#include <Nazara/Noise/Simplex2D.inl>
#endif // SIMPLEX2D_HPP

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// Copyright (C) 2012 Rémi Bèges
// This file is part of the "Nazara Engine".
// For conditions of distribution and use, see copyright notice in Config.hpp
#include <Nazara/Core/Error.hpp>
#include <Nazara/Noise/Config.hpp>
#include <Nazara/Noise/Debug.hpp>
template <typename T>
NzSimplex2D<T>::NzSimplex2D()
{
T grad2Temp[][2] = {{1,1},{-1,1},{1,-1},{-1,-1},
{1,0},{-1,0},{0,1},{0,-1}};
for(int i(0) ; i < 8 ; ++i)
for(int j(0) ; j < 2 ; ++j)
gradient2[i][j] = grad2Temp[i][j];
SkewCoeff2D = 0.5*(sqrt(3.0) - 1.0);
UnskewCoeff2D = (3.0-sqrt(3.0))/6.;
}
template <typename T>
T NzSimplex2D<T>::GetValue(T x, T y, T res)
{
x /= res;
y /= res;
sum = (x + y) * SkewCoeff2D;
skewedCubeOrigin.x = fastfloor(x + sum);
skewedCubeOrigin.y = fastfloor(y + sum);
sum = (skewedCubeOrigin.x + skewedCubeOrigin.y) * UnskewCoeff2D;
unskewedCubeOrigin.x = skewedCubeOrigin.x - sum;
unskewedCubeOrigin.y = skewedCubeOrigin.y - sum;
unskewedDistToOrigin.x = x - unskewedCubeOrigin.x;
unskewedDistToOrigin.y = y - unskewedCubeOrigin.y;
if(unskewedDistToOrigin.x > unskewedDistToOrigin.y)
{
off1.x = 1;
off1.y = 0;
}
else
{
off1.x = 0;
off1.y = 1;
}
d1 = - unskewedDistToOrigin;
d2.x = d1.x + off1.x - UnskewCoeff2D;
d2.y = d1.y + off1.y - UnskewCoeff2D;
d3.x = d1.x + 1.0 - 2 * UnskewCoeff2D;
d3.y = d1.y + 1.0 - 2 * UnskewCoeff2D;
ii = skewedCubeOrigin.x & 255;
jj = skewedCubeOrigin.y & 255;
gi0 = perm[ii + perm[jj ]] & 7;
gi1 = perm[ii + off1.x + perm[jj + off1.y]] & 7;
gi2 = perm[ii + 1 + perm[jj + 1 ]] & 7;
c1 = 0.5 - d1.x * d1.x - d1.y * d1.y;
c2 = 0.5 - d2.x * d2.x - d2.y * d2.y;
c3 = 0.5 - d3.x * d3.x - d3.y * d3.y;
if(c1 < 0)
n1 = 0;
else
n1 = c1*c1*c1*c1*(gradient2[gi0][0] * d1.x + gradient2[gi0][1] * d1.y);
if(c2 < 0)
n2 = 0;
else
n2 = c2*c2*c2*c2*(gradient2[gi1][0] * d2.x + gradient2[gi1][1] * d2.y);
if(c3 < 0)
n3 = 0;
else
n3 = c3*c3*c3*c3*(gradient2[gi2][0] * d3.x + gradient2[gi2][1] * d3.y);
return (n1+n2+n3)*70;
}
#include <Nazara/Core/DebugOff.hpp>

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// Copyright (C) 2012 Rémi Bèges
// This file is part of the "Nazara Engine".
// For conditions of distribution and use, see copyright notice in Config.hpp
#pragma once
#ifndef SIMPLEX3D_HPP
#define SIMPLEX3D_HPP
#include <Nazara/Prerequesites.hpp>
#include <Nazara/Noise/NoiseBase.hpp>
#include <Nazara/Math/Vector3.hpp>
template <typename T> class NAZARA_API NzSimplex3D : public NzNoiseBase
{
public:
NzSimplex3D();
T GetValue(T x, T y, T z, T res);
~NzSimplex3D() = default;
protected:
private:
int ii,jj,kk;
int gi0,gi1,gi2,gi3;
NzVector3i skewedCubeOrigin,off1,off2;
T n1,n2,n3,n4;
T c1,c2,c3,c4;
T gradient3[12][3];
T UnskewCoeff3D;
T SkewCoeff3D;
T sum;
NzVector3<T> unskewedCubeOrigin, unskewedDistToOrigin;
NzVector3<T> d1,d2,d3,d4;
};
typedef NzSimplex3D<float> NzSimplex3Df;
typedef NzSimplex3D<double> NzSimplex3Dd;
#include <Nazara/Noise/Simplex3D.inl>
#endif // SIMPLEX3D_HPP

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// Copyright (C) 2012 Rémi Bèges
// This file is part of the "Nazara Engine".
// For conditions of distribution and use, see copyright notice in Config.hpp
#include <Nazara/Core/Error.hpp>
#include <Nazara/Noise/Config.hpp>
#include <Nazara/Noise/Debug.hpp>
template <typename T>
NzSimplex3D<T>::NzSimplex3D()
{
SkewCoeff3D = 1/3.;
UnskewCoeff3D = 1/6.;
int grad3Temp[][3] = {{1,1,0},{-1,1,0},{1,-1,0},{-1,-1,0},
{1,0,1},{-1,0,1},{1,0,-1},{-1,0,-1},
{0,1,1},{0,-1,1},{0,1,-1},{0,-1,-1}};
for(int i(0) ; i < 12 ; ++i)
for(int j(0) ; j < 3 ; ++j)
gradient3[i][j] = grad3Temp[i][j];
}
template <typename T>
T NzSimplex3D<T>::GetValue(T x, T y, T z, T res)
{
x /= res;
y /= res;
z /= res;
sum = (x + y + z) * SkewCoeff3D;
skewedCubeOrigin.x = fastfloor(x + sum);
skewedCubeOrigin.y = fastfloor(y + sum);
skewedCubeOrigin.z = fastfloor(z + sum);
sum = (skewedCubeOrigin.x + skewedCubeOrigin.y + skewedCubeOrigin.z) * UnskewCoeff3D;
unskewedCubeOrigin.x = skewedCubeOrigin.x - sum;
unskewedCubeOrigin.y = skewedCubeOrigin.y - sum;
unskewedCubeOrigin.z = skewedCubeOrigin.z - sum;
unskewedDistToOrigin.x = x - unskewedCubeOrigin.x;
unskewedDistToOrigin.y = y - unskewedCubeOrigin.y;
unskewedDistToOrigin.z = z - unskewedCubeOrigin.z;
if(unskewedDistToOrigin.x >= unskewedDistToOrigin.y)
{
if(unskewedDistToOrigin.y >= unskewedDistToOrigin.z)
{
off1.x = 1;
off1.y = 0;
off1.z = 0;
off2.x = 1;
off2.y = 1;
off2.z = 0;
}
else if(unskewedDistToOrigin.x >= unskewedDistToOrigin.z)
{
off1.x = 1;
off1.y = 0;
off1.z = 0;
off2.x = 1;
off2.y = 0;
off2.z = 1;
}
else
{
off1.x = 0;
off1.y = 0;
off1.z = 1;
off2.x = 1;
off2.y = 0;
off2.z = 1;
}
}
else
{
if(unskewedDistToOrigin.y < unskewedDistToOrigin.z)
{
off1.x = 0;
off1.y = 0;
off1.z = 1;
off2.x = 0;
off2.y = 1;
off2.z = 1;
}
else if(unskewedDistToOrigin.x < unskewedDistToOrigin.z)
{
off1.x = 0;
off1.y = 1;
off1.z = 0;
off2.x = 0;
off2.y = 1;
off2.z = 1;
}
else
{
off1.x = 0;
off1.y = 1;
off1.z = 0;
off2.x = 1;
off2.y = 1;
off2.z = 0;
}
}
d1 = unskewedDistToOrigin;
d2.x = d1.x - off1.x + UnskewCoeff3D;
d2.y = d1.y - off1.y + UnskewCoeff3D;
d2.z = d1.z - off1.z + UnskewCoeff3D;
d3.x = d1.x - off2.x + 2*UnskewCoeff3D;
d3.y = d1.y - off2.y + 2*UnskewCoeff3D;
d3.z = d1.z - off2.z + 2*UnskewCoeff3D;
d4.x = d1.x - 1.0 + 3*UnskewCoeff3D;
d4.y = d1.y - 1.0 + 3*UnskewCoeff3D;
d4.z = d1.z - 1.0 + 3*UnskewCoeff3D;
ii = skewedCubeOrigin.x & 255;
jj = skewedCubeOrigin.y & 255;
kk = skewedCubeOrigin.z & 255;
gi0 = perm[ii + perm[jj + perm[kk ]]] % 12;
gi1 = perm[ii + off1.x + perm[jj + off1.y + perm[kk + off1.z]]] % 12;
gi2 = perm[ii + off2.x + perm[jj + off2.y + perm[kk + off2.z]]] % 12;
gi3 = perm[ii + 1 + perm[jj + 1 + perm[kk + 1 ]]] % 12;
c1 = 0.6 - d1.x * d1.x - d1.y * d1.y - d1.z * d1.z;
c2 = 0.6 - d2.x * d2.x - d2.y * d2.y - d2.z * d2.z;
c3 = 0.6 - d3.x * d3.x - d3.y * d3.y - d3.z * d3.z;
c4 = 0.6 - d4.x * d4.x - d4.y * d4.y - d4.z * d4.z;
if(c1 < 0)
n1 = 0;
else
n1 = c1*c1*c1*c1*(gradient3[gi0][0] * d1.x + gradient3[gi0][1] * d1.y + gradient3[gi0][2] * d1.z);
if(c2 < 0)
n2 = 0;
else
n2 = c2*c2*c2*c2*(gradient3[gi1][0] * d2.x + gradient3[gi1][1] * d2.y + gradient3[gi1][2] * d2.z);
if(c3 < 0)
n3 = 0;
else
n3 = c3*c3*c3*c3*(gradient3[gi2][0] * d3.x + gradient3[gi2][1] * d3.y + gradient3[gi2][2] * d3.z);
if(c4 < 0)
n4 = 0;
else
n4 = c4*c4*c4*c4*(gradient3[gi3][0] * d4.x + gradient3[gi3][1] * d4.y + gradient3[gi3][2] * d4.z);
return (n1+n2+n3+n4)*32;
}
#include <Nazara/Core/DebugOff.hpp>

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// Copyright (C) 2012 Rémi Bèges
// This file is part of the "Nazara Engine".
// For conditions of distribution and use, see copyright notice in Config.hpp
#pragma once
#ifndef SIMPLEX4D_HPP
#define SIMPLEX4D_HPP
#include <Nazara/Prerequesites.hpp>
#include <Nazara/Noise/NoiseBase.hpp>
#include <Nazara/Math/Vector4.hpp>
template <typename T> class NAZARA_API NzSimplex4D : public NzNoiseBase
{
public:
NzSimplex4D();
T GetValue(T x, T y, T z, T w, T res);
~NzSimplex4D() = default;
protected:
private:
int ii,jj,kk,ll;
int gi0,gi1,gi2,gi3,gi4;
NzVector4i skewedCubeOrigin,off1,off2,off3;
T n1,n2,n3,n4,n5;
T c1,c2,c3,c4,c5,c6;
T gradient4[32][4];
int lookupTable4D[64][4];
int c;
T UnskewCoeff4D;
T SkewCoeff4D;
T sum;
NzVector4<T> unskewedCubeOrigin, unskewedDistToOrigin;
NzVector4<T> d1,d2,d3,d4,d5;
};
typedef NzSimplex4D<float> NzSimplex4Df;
typedef NzSimplex4D<double> NzSimplex4Dd;
#include <Nazara/Noise/Simplex4D.inl>
#endif // SIMPLEX4D_H

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// Copyright (C) 2012 Rémi Bèges
// This file is part of the "Nazara Engine".
// For conditions of distribution and use, see copyright notice in Config.hpp
#include <Nazara/Core/Error.hpp>
#include <Nazara/Noise/Config.hpp>
#include <Nazara/Noise/Debug.hpp>
template <typename T>
NzSimplex4D<T>::NzSimplex4D()
{
SkewCoeff4D = (sqrt(5.) - 1.)/4.;
UnskewCoeff4D = (5. - sqrt(5.))/20.;
int lookupTemp4D[][4] =
{
{0,1,2,3},{0,1,3,2},{0,0,0,0},{0,2,3,1},{0,0,0,0},{0,0,0,0},{0,0,0,0},{1,2,3,0},
{0,2,1,3},{0,0,0,0},{0,3,1,2},{0,3,2,1},{0,0,0,0},{0,0,0,0},{0,0,0,0},{1,3,2,0},
{0,0,0,0},{0,0,0,0},{0,0,0,0},{0,0,0,0},{0,0,0,0},{0,0,0,0},{0,0,0,0},{0,0,0,0},
{1,2,0,3},{0,0,0,0},{1,3,0,2},{0,0,0,0},{0,0,0,0},{0,0,0,0},{2,3,0,1},{2,3,1,0},
{1,0,2,3},{1,0,3,2},{0,0,0,0},{0,0,0,0},{0,0,0,0},{2,0,3,1},{0,0,0,0},{2,1,3,0},
{0,0,0,0},{0,0,0,0},{0,0,0,0},{0,0,0,0},{0,0,0,0},{0,0,0,0},{0,0,0,0},{0,0,0,0},
{2,0,1,3},{0,0,0,0},{0,0,0,0},{0,0,0,0},{3,0,1,2},{3,0,2,1},{0,0,0,0},{3,1,2,0},
{2,1,0,3},{0,0,0,0},{0,0,0,0},{0,0,0,0},{3,1,0,2},{0,0,0,0},{3,2,0,1},{3,2,1,0}
};
for(int i(0) ; i < 64 ; ++i)
for(int j(0) ; j < 4 ; ++j)
lookupTable4D[i][j] = lookupTemp4D[i][j];
int grad4Temp[][4] =
{
{0,1,1,1}, {0,1,1,-1}, {0,1,-1,1}, {0,1,-1,-1},
{0,-1,1,1},{0,-1,1,-1},{0,-1,-1,1},{0,-1,-1,-1},
{1,0,1,1}, {1,0,1,-1}, {1,0,-1,1}, {1,0,-1,-1},
{-1,0,1,1},{-1,0,1,-1},{-1,0,-1,1},{-1,0,-1,-1},
{1,1,0,1}, {1,1,0,-1}, {1,-1,0,1}, {1,-1,0,-1},
{-1,1,0,1},{-1,1,0,-1},{-1,-1,0,1},{-1,-1,0,-1},
{1,1,1,0}, {1,1,-1,0}, {1,-1,1,0}, {1,-1,-1,0},
{-1,1,1,0},{-1,1,-1,0},{-1,-1,1,0},{-1,-1,-1,0}
};
for(int i(0) ; i < 32 ; ++i)
for(int j(0) ; j < 4 ; ++j)
gradient4[i][j] = grad4Temp[i][j];
}
template <typename T>
T NzSimplex4D<T>::GetValue(T x, T y, T z, T w, T res)
{
x /= res;
y /= res;
z /= res;
w /= res;
sum = (x + y + z + w) * SkewCoeff4D;
skewedCubeOrigin.x = fastfloor(x + sum);
skewedCubeOrigin.y = fastfloor(y + sum);
skewedCubeOrigin.z = fastfloor(z + sum);
skewedCubeOrigin.w = fastfloor(w + sum);
sum = (skewedCubeOrigin.x + skewedCubeOrigin.y + skewedCubeOrigin.z + skewedCubeOrigin.w) * UnskewCoeff4D;
unskewedCubeOrigin.x = skewedCubeOrigin.x - sum;
unskewedCubeOrigin.y = skewedCubeOrigin.y - sum;
unskewedCubeOrigin.z = skewedCubeOrigin.z - sum;
unskewedCubeOrigin.w = skewedCubeOrigin.w - sum;
unskewedDistToOrigin.x = x - unskewedCubeOrigin.x;
unskewedDistToOrigin.y = y - unskewedCubeOrigin.y;
unskewedDistToOrigin.z = z - unskewedCubeOrigin.z;
unskewedDistToOrigin.w = w - unskewedCubeOrigin.w;
c1 = (unskewedDistToOrigin.x > unskewedDistToOrigin.y) ? 32 : 0;
c2 = (unskewedDistToOrigin.x > unskewedDistToOrigin.z) ? 16 : 0;
c3 = (unskewedDistToOrigin.y > unskewedDistToOrigin.z) ? 8 : 0;
c4 = (unskewedDistToOrigin.x > unskewedDistToOrigin.w) ? 4 : 0;
c5 = (unskewedDistToOrigin.y > unskewedDistToOrigin.w) ? 2 : 0;
c6 = (unskewedDistToOrigin.z > unskewedDistToOrigin.w) ? 1 : 0;
c = c1 + c2 + c3 + c4 + c5 + c6;
off1.x = lookupTable4D[c][0] >= 3 ? 1 : 0;
off1.y = lookupTable4D[c][1] >= 3 ? 1 : 0;
off1.z = lookupTable4D[c][2] >= 3 ? 1 : 0;
off1.w = lookupTable4D[c][3] >= 3 ? 1 : 0;
off2.x = lookupTable4D[c][0] >= 2 ? 1 : 0;
off2.y = lookupTable4D[c][1] >= 2 ? 1 : 0;
off2.z = lookupTable4D[c][2] >= 2 ? 1 : 0;
off2.w = lookupTable4D[c][3] >= 2 ? 1 : 0;
off3.x = lookupTable4D[c][0] >= 1 ? 1 : 0;
off3.y = lookupTable4D[c][1] >= 1 ? 1 : 0;
off3.z = lookupTable4D[c][2] >= 1 ? 1 : 0;
off3.w = lookupTable4D[c][3] >= 1 ? 1 : 0;
d1 = unskewedDistToOrigin;
d2.x = d1.x - off1.x + UnskewCoeff4D;
d2.y = d1.y - off1.y + UnskewCoeff4D;
d2.z = d1.z - off1.z + UnskewCoeff4D;
d2.w = d1.w - off1.w + UnskewCoeff4D;
d3.x = d1.x - off2.x + 2*UnskewCoeff4D;
d3.y = d1.y - off2.y + 2*UnskewCoeff4D;
d3.z = d1.z - off2.z + 2*UnskewCoeff4D;
d3.w = d1.w - off2.w + 2*UnskewCoeff4D;
d4.x = d1.x - off3.x + 3*UnskewCoeff4D;
d4.y = d1.y - off3.y + 3*UnskewCoeff4D;
d4.z = d1.z - off3.z + 3*UnskewCoeff4D;
d4.w = d1.w - off3.w + 3*UnskewCoeff4D;
d5.x = d1.x - 1.0 + 4*UnskewCoeff4D;
d5.y = d1.y - 1.0 + 4*UnskewCoeff4D;
d5.z = d1.z - 1.0 + 4*UnskewCoeff4D;
d5.w = d1.w - 1.0 + 4*UnskewCoeff4D;
ii = skewedCubeOrigin.x & 255;
jj = skewedCubeOrigin.y & 255;
kk = skewedCubeOrigin.z & 255;
ll = skewedCubeOrigin.w & 255;
gi0 = perm[ii + perm[jj + perm[kk + perm[ll]]]] & 31;
gi1 = perm[ii + off1.x + perm[jj + off1.y + perm[kk + off1.z + perm[ll + off1.w]]]] & 31;
gi2 = perm[ii + off2.x + perm[jj + off2.y + perm[kk + off2.z + perm[ll + off2.w]]]] & 31;
gi3 = perm[ii + off3.x + perm[jj + off3.y + perm[kk + off3.z + perm[ll + off3.w]]]] & 31;
gi4 = perm[ii + 1 + perm[jj + 1 + perm[kk + 1 + perm[ll + 1]]]] % 32;
c1 = 0.6 - d1.x*d1.x - d1.y*d1.y - d1.z*d1.z - d1.w*d1.w;
c2 = 0.6 - d2.x*d2.x - d2.y*d2.y - d2.z*d2.z - d2.w*d2.w;
c3 = 0.6 - d3.x*d3.x - d3.y*d3.y - d3.z*d3.z - d3.w*d3.w;
c4 = 0.6 - d4.x*d4.x - d4.y*d4.y - d4.z*d4.z - d4.w*d4.w;
c5 = 0.6 - d5.x*d5.x - d5.y*d5.y - d5.z*d5.z - d5.w*d5.w;
if(c1 < 0)
n1 = 0;
else
n1 = c1*c1*c1*c1*(gradient4[gi0][0]*d1.x + gradient4[gi0][1]*d1.y + gradient4[gi0][2]*d1.z + gradient4[gi0][3]*d1.w);
if(c2 < 0)
n2 = 0;
else
n2 = c2*c2*c2*c2*(gradient4[gi1][0]*d2.x + gradient4[gi1][1]*d2.y + gradient4[gi1][2]*d2.z + gradient4[gi1][3]*d2.w);
if(c3 < 0)
n3 = 0;
else
n3 = c3*c3*c3*c3*(gradient4[gi2][0]*d3.x + gradient4[gi2][1]*d3.y + gradient4[gi2][2]*d3.z + gradient4[gi2][3]*d3.w);
if(c4 < 0)
n4 = 0;
else
n4 = c4*c4*c4*c4*(gradient4[gi3][0]*d4.x + gradient4[gi3][1]*d4.y + gradient4[gi3][2]*d4.z + gradient4[gi3][3]*d4.w);
if(c5 < 0)
n5 = 0;
else
n5 = c5*c5*c5*c5*(gradient4[gi4][0]*d5.x + gradient4[gi4][1]*d5.y + gradient4[gi4][2]*d5.z + gradient4[gi4][3]*d5.w);
return (n1+n2+n3+n4+n5)*27.0;
}
#include <Nazara/Core/DebugOff.hpp>

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@ -12,7 +12,7 @@ Authors
-------
Jérôme "Lynix" Leclercq - main developper (Lynix680@gmail.com)
Rémi "overdrivr" Bèges - developper & helper (remi.beges@laposte.net)
Rémi "overdrivr" Bèges - developper & helper - NzNoise Module - (remi.beges@laposte.net)
Install
-------

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@ -12,7 +12,7 @@ Auteurs
-------
Jérôme "Lynix" Leclercq - développeur principal (Lynix680@gmail.com)
Rémi "overdrivr" Bèges - développeur & aide (remi.beges@laposte.net)
Rémi "overdrivr" Bèges - développeur & aide - module NzNoise - (remi.beges@laposte.net)
Installation
------------

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// Copyright (C) 2012 Rémi Bèges
// This file is part of the "Nazara Engine".
// For conditions of distribution and use, see copyright notice in Config.hpp
#include <Nazara/Noise/ComplexNoiseBase.hpp>
#include <cmath>
#include <Nazara/Core/Error.hpp>
#include <Nazara/Noise/Config.hpp>
#include <Nazara/Noise/Debug.hpp>
NzComplexNoiseBase::NzComplexNoiseBase()
{
m_parametersModified = true;
m_lacunarity = 5.0f;
m_hurst = 1.2f;
m_octaves = 3.0f;
}
void NzComplexNoiseBase::SetLacunarity(float lacunarity)
{
if(lacunarity != m_lacunarity)
{
m_lacunarity = lacunarity;
m_parametersModified = true;
}
}
void NzComplexNoiseBase::SetHurstParameter(float h)
{
if(h != m_hurst)
{
m_hurst = h;
m_parametersModified = true;
}
}
void NzComplexNoiseBase::SetOctavesNumber(float octaves)
{
if(octaves != m_octaves && octaves < 30)
{
m_octaves = octaves;
m_parametersModified = true;
}
}
void NzComplexNoiseBase::RecomputeExponentArray()
{
if(m_parametersModified)
{
float frequency = 1.0;
m_sum = 0.f;
for (int i(0) ; i < m_octaves; ++i)
{
exponent_array[i] = std::pow( frequency, -m_hurst );
frequency *= m_lacunarity;
m_sum += exponent_array[i];
}
m_parametersModified = false;
}
}

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// Copyright (C) 2012 Rémi Bèges
// This file is part of the "Nazara Engine".
// For conditions of distribution and use, see copyright notice in Config.hpp
#include <Nazara/Noise/Config.hpp>
#if NAZARA_NOISE_MEMORYLEAKTRACKER || defined(NAZARA_DEBUG)
#include <Nazara/Core/Debug/MemoryLeakTracker.hpp>
#include <new>
void* operator new(std::size_t size) throw(std::bad_alloc)
{
return NzMemoryManager::Allocate(size, false);
}
void* operator new[](std::size_t size) throw(std::bad_alloc)
{
return NzMemoryManager::Allocate(size, true);
}
void operator delete(void* pointer) throw()
{
NzMemoryManager::Free(pointer, false);
}
void operator delete[](void* pointer) throw()
{
NzMemoryManager::Free(pointer, true);
}
#endif

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// Copyright (C) 2012 Rémi Bèges
// This file is part of the "Nazara Engine".
// For conditions of distribution and use, see copyright notice in Config.hpp
#include <Nazara/Noise/Noise.hpp>
#include <Nazara/Core/Error.hpp>
#include <Nazara/Noise/Config.hpp>
#include <Nazara/Noise/Debug.hpp>
NzNoise::NzNoise()
{
}
NzNoise::~NzNoise()
{
if (s_initialized)
Uninitialize();
}
bool NzNoise::Initialize()
{
#if NAZARA_NOISE_SAFE
if (s_initialized)
{
NazaraError("NzNoise already initialized");
return true;
}
#endif
// Initialisation du module
s_initialized = true;
return true;
}
void NzNoise::Uninitialize()
{
#if NAZARA_NOISE_SAFE
if (!s_initialized)
{
NazaraError("NzNoise not initialized");
return;
}
#endif
// Libération du module
s_initialized = false;
}
bool NzNoise::IsInitialized()
{
return s_initialized;
}
bool NzNoise::s_initialized = false;
//#include <Nazara/Core/DebugOff.hpp> //A INCLURE ?

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// Copyright (C) 2012 Rémi Bèges
// This file is part of the "Nazara Engine".
// For conditions of distribution and use, see copyright notice in Config.hpp
#include <Nazara/Noise/NoiseBase.hpp>
#include <Nazara/Core/Error.hpp>
#include <Nazara/Noise/Config.hpp>
#include <Nazara/Noise/Debug.hpp>
NzNoiseBase::NzNoiseBase(int seed)
{
Ua = 16807;
Uc = 0;
Um = 2147483647;
UcurrentSeed = 0;
Uprevious = 0;
SetNewSeed(seed);
for(int i(0) ; i < 256 ; i++)
perm[i] = i;
}
void NzNoiseBase::SetNewSeed(int seed)
{
Uprevious = seed;
UcurrentSeed = seed;
}
int NzNoiseBase::GetUniformRandomValue()
{
Ulast = Ua*Uprevious + Uc%Um;
Uprevious = Ulast;
return Ulast;
}
void NzNoiseBase::ShufflePermutationTable()
{
int xchanger;
unsigned int ncase;
for(int i(0) ; i < 256 ; i++)
perm[i] = i;
for(int j(0) ; j < 20 ; ++j)
for (int i(0); i < 256 ; ++i)
{
ncase = this->GetUniformRandomValue() & 255;
xchanger = perm[i];
perm[i] = perm[ncase];
perm[ncase] = xchanger;
}
for(int i(256) ; i < 512; ++i)
perm[i] = perm[i & 255];
}
int NzNoiseBase::fastfloor(float n)
{
return (n >= 0) ? static_cast<int>(n) : static_cast<int>(n-1);
}
int NzNoiseBase::JenkinsHash(int a, int b, int c)
{
a = a-b; a = a - c; a = a^(static_cast<unsigned int>(c) >> 13);
b = b-c; b = b - a; b = b^(a << 8);
c = c-a; c = c - b; c = c^(static_cast<unsigned int>(b) >> 13);
a = a-b; a = a - c; a = a^(static_cast<unsigned int>(c) >> 12);
b = b-c; b = b - a; b = b^(a << 16);
c = c-a; c = c - b; c = c^(static_cast<unsigned int>(b) >> 5);
a = a-b; a = a - c; a = a^(static_cast<unsigned int>(c) >> 3);
b = b-c; b = b - a; b = b^(a << 10);
c = c-a; c = c - b; c = c^(static_cast<unsigned int>(b) >> 15);
return c;
}
#include <Nazara/Core/DebugOff.hpp>

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// Copyright (C) 2012 Rémi Bèges
// This file is part of the "Nazara Engine".
// For conditions of distribution and use, see copyright notice in Config.hpp
#include <Nazara/Noise/NoiseMachine.hpp>
#include <Nazara/Core/Error.hpp>
#include <Nazara/Noise/Config.hpp>
#include <Nazara/Noise/Debug.hpp>
NzNoiseMachine::NzNoiseMachine(int seed)
{
SkewCoeff2D = 0.5*(sqrt(3.0) - 1.0);
UnskewCoeff2D = (3.0-sqrt(3.0))/6;
SkewCoeff3D = 1/3;
UnskewCoeff3D = 1/6;
SkewCoeff4D = (sqrt(5) - 1)/4;
UnskewCoeff4D = (5 - sqrt(5))/20;
int lookupTemp4D[][4] =
{
{0,1,2,3},{0,1,3,2},{0,0,0,0},{0,2,3,1},{0,0,0,0},{0,0,0,0},{0,0,0,0},{1,2,3,0},
{0,2,1,3},{0,0,0,0},{0,3,1,2},{0,3,2,1},{0,0,0,0},{0,0,0,0},{0,0,0,0},{1,3,2,0},
{0,0,0,0},{0,0,0,0},{0,0,0,0},{0,0,0,0},{0,0,0,0},{0,0,0,0},{0,0,0,0},{0,0,0,0},
{1,2,0,3},{0,0,0,0},{1,3,0,2},{0,0,0,0},{0,0,0,0},{0,0,0,0},{2,3,0,1},{2,3,1,0},
{1,0,2,3},{1,0,3,2},{0,0,0,0},{0,0,0,0},{0,0,0,0},{2,0,3,1},{0,0,0,0},{2,1,3,0},
{0,0,0,0},{0,0,0,0},{0,0,0,0},{0,0,0,0},{0,0,0,0},{0,0,0,0},{0,0,0,0},{0,0,0,0},
{2,0,1,3},{0,0,0,0},{0,0,0,0},{0,0,0,0},{3,0,1,2},{3,0,2,1},{0,0,0,0},{3,1,2,0},
{2,1,0,3},{0,0,0,0},{0,0,0,0},{0,0,0,0},{3,1,0,2},{0,0,0,0},{3,2,0,1},{3,2,1,0}
};
for(int i(0) ; i < 64 ; ++i)
for(int j(0) ; j < 4 ; ++j)
lookupTable4D[i][j] = lookupTemp4D[i][j];
float grad2Temp[][2] = {{1,1},{-1,1},{1,-1},{-1,-1},
{1,0},{-1,0},{0,1},{0,-1}};
for(int i(0) ; i < 8 ; ++i)
for(int j(0) ; j < 2 ; ++j)
gradient2[i][j] = grad2Temp[i][j];
int grad3Temp[][3] = {
{1,1,0},{-1,1,0},{1,-1,0},{-1,-1,0},
{1,0,1},{-1,0,1},{1,0,-1},{-1,0,-1},
{0,1,1},{0,-1,1},{0,1,-1},{0,-1,-1},
{1,1,0},{-1,1,0},{0,-1,1},{0,-1,-1}
};
for(int i(0) ; i < 16 ; ++i)
for(int j(0) ; j < 3 ; ++j)
gradient3[i][j] = grad3Temp[i][j];
int grad4Temp[][4] =
{
{0,1,1,1}, {0,1,1,-1}, {0,1,-1,1}, {0,1,-1,-1},
{0,-1,1,1},{0,-1,1,-1},{0,-1,-1,1},{0,-1,-1,-1},
{1,0,1,1}, {1,0,1,-1}, {1,0,-1,1}, {1,0,-1,-1},
{-1,0,1,1},{-1,0,1,-1},{-1,0,-1,1},{-1,0,-1,-1},
{1,1,0,1}, {1,1,0,-1}, {1,-1,0,1}, {1,-1,0,-1},
{-1,1,0,1},{-1,1,0,-1},{-1,-1,0,1},{-1,-1,0,-1},
{1,1,1,0}, {1,1,-1,0}, {1,-1,1,0}, {1,-1,-1,0},
{-1,1,1,0},{-1,1,-1,0},{-1,-1,1,0},{-1,-1,-1,0}
};
for(int i(0) ; i < 32 ; ++i)
for(int j(0) ; j < 4 ; ++j)
gradient4[i][j] = grad4Temp[i][j];
}
//------------------------------ PERLIN ------------------------------
float NzNoiseMachine::Get2DPerlinNoiseValue(float x, float y, float res)
{
x /= res;
y /= res;
x0 = fastfloor(x);
y0 = fastfloor(y);
ii = x0 & 255;
jj = y0 & 255;
gi0 = perm[ii + perm[jj]] & 7;
gi1 = perm[ii + 1 + perm[jj]] & 7;
gi2 = perm[ii + perm[jj + 1]] & 7;
gi3 = perm[ii + 1 + perm[jj + 1]] & 7;
temp.x = x-x0;
temp.y = y-y0;
Cx = temp.x * temp.x * temp.x * (temp.x * (temp.x * 6 - 15) + 10);
Cy = temp.y * temp.y * temp.y * (temp.y * (temp.y * 6 - 15) + 10);
s[0] = gradient2[gi0][0]*temp.x + gradient2[gi0][1]*temp.y;
temp.x = x-(x0+1);
t[0] = gradient2[gi1][0]*temp.x + gradient2[gi1][1]*temp.y;
temp.y = y-(y0+1);
v[0] = gradient2[gi3][0]*temp.x + gradient2[gi3][1]*temp.y;
temp.x = x-x0;
u[0] = gradient2[gi2][0]*temp.x + gradient2[gi2][1]*temp.y;
Li1 = s[0] + Cx*(t[0]-s[0]);
Li2 = u[0] + Cx*(v[0]-u[0]);
return Li1 + Cy*(Li2-Li1);
}
float NzNoiseMachine::Get3DPerlinNoiseValue(float x, float y, float z, float res)
{
x /= res;
y /= res;
z /= res;
x0 = fastfloor(x);
y0 = fastfloor(y);
z0 = fastfloor(z);
ii = x0 & 255;
jj = y0 & 255;
kk = z0 & 255;
gi0 = perm[ii + perm[jj + perm[kk ]]] & 15;
gi1 = perm[ii + 1 + perm[jj + perm[kk ]]] & 15;
gi2 = perm[ii + perm[jj + 1 + perm[kk ]]] & 15;
gi3 = perm[ii + 1 + perm[jj + 1 + perm[kk ]]] & 15;
gi4 = perm[ii + perm[jj + perm[kk + 1]]] & 15;
gi5 = perm[ii + 1 + perm[jj + perm[kk + 1]]] & 15;
gi6 = perm[ii + perm[jj + 1 + perm[kk + 1]]] & 15;
gi7 = perm[ii + 1 + perm[jj + 1 + perm[kk + 1]]] & 15;
temp.x = x-x0;
temp.y = y-y0;
temp.z = z-z0;
Cx = temp.x * temp.x * temp.x * (temp.x * (temp.x * 6 - 15) + 10);
Cy = temp.y * temp.y * temp.y * (temp.y * (temp.y * 6 - 15) + 10);
Cz = temp.z * temp.z * temp.z * (temp.z * (temp.z * 6 - 15) + 10);
s[0] = gradient3[gi0][0]*temp.x + gradient3[gi0][1]*temp.y + gradient3[gi0][2]*temp.z;
temp.x = x-(x0+1);
t[0] = gradient3[gi1][0]*temp.x + gradient3[gi1][1]*temp.y + gradient3[gi1][2]*temp.z;
temp.y = y-(y0+1);
v[0] = gradient3[gi3][0]*temp.x + gradient3[gi3][1]*temp.y + gradient3[gi3][2]*temp.z;
temp.x = x-x0;
u[0] = gradient3[gi2][0]*temp.x + gradient3[gi2][1]*temp.y + gradient3[gi2][2]*temp.z;
temp.y = y-y0;
temp.z = z-(z0+1);
s[1] = gradient3[gi4][0]*temp.x + gradient3[gi4][1]*temp.y + gradient3[gi4][2]*temp.z;
temp.x = x-(x0+1);
t[1] = gradient3[gi5][0]*temp.x + gradient3[gi5][1]*temp.y + gradient3[gi5][2]*temp.z;
temp.y = y-(y0+1);
v[1] = gradient3[gi7][0]*temp.x + gradient3[gi7][1]*temp.y + gradient3[gi7][2]*temp.z;
temp.x = x-x0;
u[1] = gradient3[gi6][0]*temp.x + gradient3[gi6][1]*temp.y + gradient3[gi6][2]*temp.z;
Li1 = s[0] + Cx*(t[0]-s[0]);
Li2 = u[0] + Cx*(v[0]-u[0]);
Li3 = s[1] + Cx*(t[1]-s[1]);
Li4 = u[1] + Cx*(v[1]-u[1]);
Li5 = Li1 + Cy*(Li2-Li1);
Li6 = Li3 + Cy*(Li4-Li3);
return Li5 + Cz*(Li6-Li5);
}
float NzNoiseMachine::Get4DPerlinNoiseValue(float x, float y, float z, float w, float res)
{
x /= res;
y /= res;
z /= res;
w /= res;
x0 = fastfloor(x);
y0 = fastfloor(y);
z0 = fastfloor(z);
w0 = fastfloor(w);
ii = x0 & 255;
jj = y0 & 255;
kk = z0 & 255;
ll = w0 & 255;
gi0 = perm[ii + perm[jj + perm[kk + perm[ll ]]]] & 31;
gi1 = perm[ii + 1 + perm[jj + perm[kk + perm[ll ]]]] & 31;
gi2 = perm[ii + perm[jj + 1 + perm[kk + perm[ll ]]]] & 31;
gi3 = perm[ii + 1 + perm[jj + 1 + perm[kk + perm[ll ]]]] & 31;
gi4 = perm[ii + perm[jj + + perm[kk + 1 + perm[ll ]]]] & 31;
gi5 = perm[ii + 1 + perm[jj + + perm[kk + 1 + perm[ll ]]]] & 31;
gi6 = perm[ii + perm[jj + 1 + perm[kk + 1 + perm[ll ]]]] & 31;
gi7 = perm[ii + 1 + perm[jj + 1 + perm[kk + 1 + perm[ll ]]]] & 31;
gi8 = perm[ii + perm[jj + perm[kk + perm[ll + 1]]]] & 31;
gi9 = perm[ii + 1 + perm[jj + perm[kk + perm[ll + 1]]]] & 31;
gi10 = perm[ii + perm[jj + 1 + perm[kk + perm[ll + 1]]]] & 31;
gi11 = perm[ii + 1 + perm[jj + 1 + perm[kk + perm[ll + 1]]]] & 31;
gi12 = perm[ii + perm[jj + perm[kk + 1 + perm[ll + 1]]]] & 31;
gi13 = perm[ii + 1 + perm[jj + perm[kk + 1 + perm[ll + 1]]]] & 31;
gi14 = perm[ii + perm[jj + 1 + perm[kk + 1 + perm[ll + 1]]]] & 31;
gi15 = perm[ii + 1 + perm[jj + 1 + perm[kk + 1 + perm[ll + 1]]]] & 31;
temp.x = x-x0;
temp.y = y-y0;
temp.z = z-z0;
temp.w = w-w0;
Cx = temp.x * temp.x * temp.x * (temp.x * (temp.x * 6 - 15) + 10);
Cy = temp.y * temp.y * temp.y * (temp.y * (temp.y * 6 - 15) + 10);
Cz = temp.z * temp.z * temp.z * (temp.z * (temp.z * 6 - 15) + 10);
Cw = temp.w * temp.w * temp.w * (temp.w * (temp.w * 6 - 15) + 10);
s[0] = gradient4[gi0][0]*temp.x + gradient4[gi0][1]*temp.y + gradient4[gi0][2]*temp.z + gradient4[gi0][3]*temp.w;
temp.x = x-(x0+1);
t[0] = gradient4[gi1][0]*temp.x + gradient4[gi1][1]*temp.y + gradient4[gi1][2]*temp.z + gradient4[gi1][3]*temp.w;
temp.y = y-(y0+1);
v[0] = gradient4[gi3][0]*temp.x + gradient4[gi3][1]*temp.y + gradient4[gi3][2]*temp.z + gradient4[gi3][3]*temp.w;
temp.x = x-x0;
u[0] = gradient4[gi2][0]*temp.x + gradient4[gi2][1]*temp.y + gradient4[gi2][2]*temp.z + gradient4[gi2][3]*temp.w;
temp.y = y-y0;
temp.z = z-(z0+1);
s[1] = gradient4[gi4][0]*temp.x + gradient4[gi4][1]*temp.y + gradient4[gi4][2]*temp.z + gradient4[gi4][3]*temp.w;
temp.x = x-(x0+1);
t[1] = gradient4[gi5][0]*temp.x + gradient4[gi5][1]*temp.y + gradient4[gi5][2]*temp.z + gradient4[gi5][3]*temp.w;
temp.y = y-(y0+1);
v[1] = gradient4[gi7][0]*temp.x + gradient4[gi7][1]*temp.y + gradient4[gi7][2]*temp.z + gradient4[gi7][3]*temp.w;
temp.x = x-x0;
u[1] = gradient4[gi6][0]*temp.x + gradient4[gi6][1]*temp.y + gradient4[gi6][2]*temp.z + gradient4[gi6][3]*temp.w;
temp.y = y-y0;
temp.z = z-z0;
temp.w = w-(w0+1);
s[2] = gradient4[gi8][0]*temp.x + gradient4[gi8][1]*temp.y + gradient4[gi8][2]*temp.z + gradient4[gi8][3]*temp.w;
temp.x = x-(x0+1);
t[2] = gradient4[gi9][0]*temp.x + gradient4[gi9][1]*temp.y + gradient4[gi9][2]*temp.z + gradient4[gi9][3]*temp.w;
temp.y = y-(y0+1);
v[2] = gradient4[gi11][0]*temp.x + gradient4[gi11][1]*temp.y + gradient4[gi11][2]*temp.z + gradient4[gi11][3]*temp.w;
temp.x = x-x0;
u[2] = gradient4[gi10][0]*temp.x + gradient4[gi10][1]*temp.y + gradient4[gi10][2]*temp.z + gradient4[gi10][3]*temp.w;
temp.y = y-y0;
temp.z = z-(z0+1);
s[3] = gradient4[gi12][0]*temp.x + gradient4[gi12][1]*temp.y + gradient4[gi12][2]*temp.z + gradient4[gi12][3]*temp.w;
temp.x = x-(x0+1);
t[3] = gradient4[gi13][0]*temp.x + gradient4[gi13][1]*temp.y + gradient4[gi13][2]*temp.z + gradient4[gi13][3]*temp.w;
temp.y = y-(y0+1);
v[3] = gradient4[gi15][0]*temp.x + gradient4[gi15][1]*temp.y + gradient4[gi15][2]*temp.z + gradient4[gi15][3]*temp.w;
temp.x = x-x0;
u[3] = gradient4[gi14][0]*temp.x + gradient4[gi14][1]*temp.y + gradient4[gi14][2]*temp.z + gradient4[gi14][3]*temp.w;
Li1 = s[0] + Cx*(t[0]-s[0]);
Li2 = u[0] + Cx*(v[0]-u[0]);
Li3 = s[1] + Cx*(t[1]-s[1]);
Li4 = u[1] + Cx*(v[1]-u[1]);
Li5 = s[2] + Cx*(t[2]-s[2]);
Li6 = u[2] + Cx*(v[2]-u[2]);
Li7 = s[3] + Cx*(t[3]-s[3]);
Li8 = u[3] + Cx*(v[3]-u[3]);
Li9 = Li1 + Cy*(Li2-Li1);
Li10 = Li3 + Cy*(Li4-Li3);
Li11 = Li5 + Cy*(Li6-Li5);
Li12 = Li7 + Cy*(Li8-Li7);
Li13 = Li9 + Cz*(Li10-Li9);
Li14 = Li11 + Cz*(Li12-Li11);
return Li13 + Cw*(Li14-Li13);
}
//------------------------------ SIMPLEX ------------------------------
float NzNoiseMachine::Get2DSimplexNoiseValue(float x, float y, float res)
{
x /= res;
y /= res;
sum = (x + y) * SkewCoeff2D;
skewedCubeOrigin.x = fastfloor(x + sum);
skewedCubeOrigin.y = fastfloor(y + sum);
sum = (skewedCubeOrigin.x + skewedCubeOrigin.y) * UnskewCoeff2D;
unskewedCubeOrigin.x = skewedCubeOrigin.x - sum;
unskewedCubeOrigin.y = skewedCubeOrigin.y - sum;
unskewedDistToOrigin.x = x - unskewedCubeOrigin.x;
unskewedDistToOrigin.y = y - unskewedCubeOrigin.y;
if(unskewedDistToOrigin.x > unskewedDistToOrigin.y)
{
off1.x = 1;
off1.y = 0;
}
else
{
off1.x = 0;
off1.y = 1;
}
d1 = - unskewedDistToOrigin;
d2.x = d1.x + off1.x - UnskewCoeff2D;
d2.y = d1.y + off1.y - UnskewCoeff2D;
d3.x = d1.x + 1.0 - 2 * UnskewCoeff2D;
d3.y = d1.y + 1.0 - 2 * UnskewCoeff2D;
ii = skewedCubeOrigin.x & 255;
jj = skewedCubeOrigin.y & 255;
gi0 = perm[ii + perm[jj ]] & 7;
gi1 = perm[ii + off1.x + perm[jj + off1.y]] & 7;
gi2 = perm[ii + 1 + perm[jj + 1 ]] & 7;
c1 = 0.5 - d1.x * d1.x - d1.y * d1.y;
c2 = 0.5 - d2.x * d2.x - d2.y * d2.y;
c3 = 0.5 - d3.x * d3.x - d3.y * d3.y;
if(c1 < 0)
n1 = 0;
else
n1 = c1*c1*c1*c1*(gradient2[gi0][0] * d1.x + gradient2[gi0][1] * d1.y);
if(c2 < 0)
n2 = 0;
else
n2 = c2*c2*c2*c2*(gradient2[gi1][0] * d2.x + gradient2[gi1][1] * d2.y);
if(c3 < 0)
n3 = 0;
else
n3 = c3*c3*c3*c3*(gradient2[gi2][0] * d3.x + gradient2[gi2][1] * d3.y);
return (n1+n2+n3)*70;
}
float NzNoiseMachine::Get3DSimplexNoiseValue(float x, float y, float z, float res)
{
x /= res;
y /= res;
z /= res;
sum = (x + y + z) * SkewCoeff3D;
skewedCubeOrigin.x = fastfloor(x + sum);
skewedCubeOrigin.y = fastfloor(y + sum);
skewedCubeOrigin.z = fastfloor(z + sum);
sum = (skewedCubeOrigin.x + skewedCubeOrigin.y + skewedCubeOrigin.z) * UnskewCoeff3D;
unskewedCubeOrigin.x = skewedCubeOrigin.x - sum;
unskewedCubeOrigin.y = skewedCubeOrigin.y - sum;
unskewedCubeOrigin.z = skewedCubeOrigin.z - sum;
unskewedDistToOrigin.x = x - unskewedCubeOrigin.x;
unskewedDistToOrigin.y = y - unskewedCubeOrigin.y;
unskewedDistToOrigin.z = z - unskewedCubeOrigin.z;
if(unskewedDistToOrigin.x >= unskewedDistToOrigin.y)
{
if(unskewedDistToOrigin.y >= unskewedDistToOrigin.z)
{
off1.x = 1;
off1.y = 0;
off1.z = 0;
off2.x = 1;
off2.y = 1;
off2.z = 0;
}
else if(unskewedDistToOrigin.x >= unskewedDistToOrigin.z)
{
off1.x = 1;
off1.y = 0;
off1.z = 0;
off2.x = 1;
off2.y = 0;
off2.z = 1;
}
else
{
off1.x = 0;
off1.y = 0;
off1.z = 1;
off2.x = 1;
off2.y = 0;
off2.z = 1;
}
}
else
{
if(unskewedDistToOrigin.y < unskewedDistToOrigin.z)
{
off1.x = 0;
off1.y = 0;
off1.z = 1;
off2.x = 0;
off2.y = 1;
off2.z = 1;
}
else if(unskewedDistToOrigin.x < unskewedDistToOrigin.z)
{
off1.x = 0;
off1.y = 1;
off1.z = 0;
off2.x = 0;
off2.y = 1;
off2.z = 1;
}
else
{
off1.x = 0;
off1.y = 1;
off1.z = 0;
off2.x = 1;
off2.y = 1;
off2.z = 0;
}
}
d1 = unskewedDistToOrigin;
d2.x = d1.x - off1.x + UnskewCoeff3D;
d2.y = d1.y - off1.y + UnskewCoeff3D;
d2.z = d1.z - off1.z + UnskewCoeff3D;
d3.x = d1.x - off2.x + 2*UnskewCoeff3D;
d3.y = d1.y - off2.y + 2*UnskewCoeff3D;
d3.z = d1.z - off2.z + 2*UnskewCoeff3D;
d4.x = d1.x - 1.0 + 3*UnskewCoeff3D;
d4.y = d1.y - 1.0 + 3*UnskewCoeff3D;
d4.z = d1.z - 1.0 + 3*UnskewCoeff3D;
ii = skewedCubeOrigin.x & 255;
jj = skewedCubeOrigin.y & 255;
kk = skewedCubeOrigin.z & 255;
gi0 = perm[ii + perm[jj + perm[kk ]]] % 12;
gi1 = perm[ii + off1.x + perm[jj + off1.y + perm[kk + off1.z]]] % 12;
gi2 = perm[ii + off2.x + perm[jj + off2.y + perm[kk + off2.z]]] % 12;
gi3 = perm[ii + 1 + perm[jj + 1 + perm[kk + 1 ]]] % 12;
c1 = 0.6 - d1.x * d1.x - d1.y * d1.y - d1.z * d1.z;
c2 = 0.6 - d2.x * d2.x - d2.y * d2.y - d2.z * d2.z;
c3 = 0.6 - d3.x * d3.x - d3.y * d3.y - d3.z * d3.z;
c4 = 0.6 - d4.x * d4.x - d4.y * d4.y - d4.z * d4.z;
if(c1 < 0)
n1 = 0;
else
n1 = c1*c1*c1*c1*(gradient3[gi0][0] * d1.x + gradient3[gi0][1] * d1.y + gradient3[gi0][2] * d1.z);
if(c2 < 0)
n2 = 0;
else
n2 = c2*c2*c2*c2*(gradient3[gi1][0] * d2.x + gradient3[gi1][1] * d2.y + gradient3[gi1][2] * d2.z);
if(c3 < 0)
n3 = 0;
else
n3 = c3*c3*c3*c3*(gradient3[gi2][0] * d3.x + gradient3[gi2][1] * d3.y + gradient3[gi2][2] * d3.z);
if(c4 < 0)
n4 = 0;
else
n4 = c4*c4*c4*c4*(gradient3[gi3][0] * d4.x + gradient3[gi3][1] * d4.y + gradient3[gi3][2] * d4.z);
return (n1+n2+n3+n4)*32;
}
float NzNoiseMachine::Get4DSimplexNoiseValue(float x, float y, float z, float w, float res)
{
x /= res;
y /= res;
z /= res;
w /= res;
sum = (x + y + z + w) * SkewCoeff4D;
skewedCubeOrigin.x = fastfloor(x + sum);
skewedCubeOrigin.y = fastfloor(y + sum);
skewedCubeOrigin.z = fastfloor(z + sum);
skewedCubeOrigin.w = fastfloor(w + sum);
sum = (skewedCubeOrigin.x + skewedCubeOrigin.y + skewedCubeOrigin.z + skewedCubeOrigin.w) * UnskewCoeff4D;
unskewedCubeOrigin.x = skewedCubeOrigin.x - sum;
unskewedCubeOrigin.y = skewedCubeOrigin.y - sum;
unskewedCubeOrigin.z = skewedCubeOrigin.z - sum;
unskewedCubeOrigin.w = skewedCubeOrigin.w - sum;
unskewedDistToOrigin.x = x - unskewedCubeOrigin.x;
unskewedDistToOrigin.y = y - unskewedCubeOrigin.y;
unskewedDistToOrigin.z = z - unskewedCubeOrigin.z;
unskewedDistToOrigin.w = w - unskewedCubeOrigin.w;
c1 = (unskewedDistToOrigin.x > unskewedDistToOrigin.y) ? 32 : 0;
c2 = (unskewedDistToOrigin.x > unskewedDistToOrigin.z) ? 16 : 0;
c3 = (unskewedDistToOrigin.y > unskewedDistToOrigin.z) ? 8 : 0;
c4 = (unskewedDistToOrigin.x > unskewedDistToOrigin.w) ? 4 : 0;
c5 = (unskewedDistToOrigin.y > unskewedDistToOrigin.w) ? 2 : 0;
c6 = (unskewedDistToOrigin.z > unskewedDistToOrigin.w) ? 1 : 0;
c = c1 + c2 + c3 + c4 + c5 + c6;
off1.x = lookupTable4D[c][0] >= 3 ? 1 : 0;
off1.y = lookupTable4D[c][1] >= 3 ? 1 : 0;
off1.z = lookupTable4D[c][2] >= 3 ? 1 : 0;
off1.w = lookupTable4D[c][3] >= 3 ? 1 : 0;
off2.x = lookupTable4D[c][0] >= 2 ? 1 : 0;
off2.y = lookupTable4D[c][1] >= 2 ? 1 : 0;
off2.z = lookupTable4D[c][2] >= 2 ? 1 : 0;
off2.w = lookupTable4D[c][3] >= 2 ? 1 : 0;
off3.x = lookupTable4D[c][0] >= 1 ? 1 : 0;
off3.y = lookupTable4D[c][1] >= 1 ? 1 : 0;
off3.z = lookupTable4D[c][2] >= 1 ? 1 : 0;
off3.w = lookupTable4D[c][3] >= 1 ? 1 : 0;
d1 = unskewedDistToOrigin;
d2.x = d1.x - off1.x + UnskewCoeff4D;
d2.y = d1.y - off1.y + UnskewCoeff4D;
d2.z = d1.z - off1.z + UnskewCoeff4D;
d2.w = d1.w - off1.w + UnskewCoeff4D;
d3.x = d1.x - off2.x + 2*UnskewCoeff4D;
d3.y = d1.y - off2.y + 2*UnskewCoeff4D;
d3.z = d1.z - off2.z + 2*UnskewCoeff4D;
d3.w = d1.w - off2.w + 2*UnskewCoeff4D;
d4.x = d1.x - off3.x + 3*UnskewCoeff4D;
d4.y = d1.y - off3.y + 3*UnskewCoeff4D;
d4.z = d1.z - off3.z + 3*UnskewCoeff4D;
d4.w = d1.w - off3.w + 3*UnskewCoeff4D;
d5.x = d1.x - 1.0 + 4*UnskewCoeff4D;
d5.y = d1.y - 1.0 + 4*UnskewCoeff4D;
d5.z = d1.z - 1.0 + 4*UnskewCoeff4D;
d5.w = d1.w - 1.0 + 4*UnskewCoeff4D;
ii = skewedCubeOrigin.x & 255;
jj = skewedCubeOrigin.y & 255;
kk = skewedCubeOrigin.z & 255;
ll = skewedCubeOrigin.w & 255;
gi0 = perm[ii + perm[jj + perm[kk + perm[ll]]]] & 31;
gi1 = perm[ii + off1.x + perm[jj + off1.y + perm[kk + off1.z + perm[ll + off1.w]]]] & 31;
gi2 = perm[ii + off2.x + perm[jj + off2.y + perm[kk + off2.z + perm[ll + off2.w]]]] & 31;
gi3 = perm[ii + off3.x + perm[jj + off3.y + perm[kk + off3.z + perm[ll + off3.w]]]] & 31;
gi4 = perm[ii + 1 + perm[jj + 1 + perm[kk + 1 + perm[ll + 1]]]] % 32;
c1 = 0.6 - d1.x*d1.x - d1.y*d1.y - d1.z*d1.z - d1.w*d1.w;
c2 = 0.6 - d2.x*d2.x - d2.y*d2.y - d2.z*d2.z - d2.w*d2.w;
c3 = 0.6 - d3.x*d3.x - d3.y*d3.y - d3.z*d3.z - d3.w*d3.w;
c4 = 0.6 - d4.x*d4.x - d4.y*d4.y - d4.z*d4.z - d4.w*d4.w;
c5 = 0.6 - d5.x*d5.x - d5.y*d5.y - d5.z*d5.z - d5.w*d5.w;
if(c1 < 0)
n1 = 0;
else
n1 = c1*c1*c1*c1*(gradient4[gi0][0]*d1.x + gradient4[gi0][1]*d1.y + gradient4[gi0][2]*d1.z + gradient4[gi0][3]*d1.w);
if(c2 < 0)
n2 = 0;
else
n2 = c2*c2*c2*c2*(gradient4[gi1][0]*d2.x + gradient4[gi1][1]*d2.y + gradient4[gi1][2]*d2.z + gradient4[gi1][3]*d2.w);
if(c3 < 0)
n3 = 0;
else
n3 = c3*c3*c3*c3*(gradient4[gi2][0]*d3.x + gradient4[gi2][1]*d3.y + gradient4[gi2][2]*d3.z + gradient4[gi2][3]*d3.w);
if(c4 < 0)
n4 = 0;
else
n4 = c4*c4*c4*c4*(gradient4[gi3][0]*d4.x + gradient4[gi3][1]*d4.y + gradient4[gi3][2]*d4.z + gradient4[gi3][3]*d4.w);
if(c5 < 0)
n5 = 0;
else
n5 = c5*c5*c5*c5*(gradient4[gi4][0]*d5.x + gradient4[gi4][1]*d5.y + gradient4[gi4][2]*d5.z + gradient4[gi4][3]*d5.w);
return (n1+n2+n3+n4+n5)*27.0;
}
//------------------------------ CELL ------------------------------
float NzNoiseMachine::Get2DCellNoiseValue(float x, float y, float res)
{
return 0;
}
float NzNoiseMachine::Get3DCellNoiseValue(float x, float y, float z, float res)
{
x /= res;
y /= res;
z /= res;
x0 = static_cast<int>(x);
y0 = static_cast<int>(y);
z0 = static_cast<int>(z);
return (this->JenkinsHash(x0,y0,z0) & 255);
}
float NzNoiseMachine::Get4DCellNoiseValue(float x, float y, float z, float w, float res)
{
x /= res;
y /= res;
z /= res;
w /= res;
x0 = static_cast<int>(x) & 255;
y0 = static_cast<int>(y) & 255;
z0 = static_cast<int>(z) & 255;
w0 = static_cast<int>(w) & 255;
return 0;
}
//------------------------------ FBM ------------------------------
float NzNoiseMachine::Get2DFBMNoiseValue(float x, float y, float res)
{
value = 0.0;
RecomputeExponentArray();
for (int i(0); i < m_octaves; ++i)
{
value += Get2DPerlinNoiseValue(x,y,res) * exponent_array[i];
x *= m_lacunarity;
y *= m_lacunarity;
}
remainder = m_octaves - (int)m_octaves;
if(remainder != 0)
value += remainder * Get2DSimplexNoiseValue(x,y,res) * exponent_array[(int)m_octaves-1];
return value * m_sum;
}
float NzNoiseMachine::Get3DFBMNoiseValue(float x, float y, float z, float res)
{
value = 0.0;
RecomputeExponentArray();
for(int i(0); i < m_octaves; ++i)
{
value += Get3DSimplexNoiseValue(x,y,z,res) * exponent_array[i];
x *= m_lacunarity;
y *= m_lacunarity;
z *= m_lacunarity;
}
remainder = m_octaves - (int)m_octaves;
if(remainder != 0)
value += remainder * Get3DSimplexNoiseValue(x,y,z,res) * exponent_array[(int)m_octaves-1];
return value * m_sum;
}
//------------------------------ HYBRID MULTIFRACTAL ------------------------------
float NzNoiseMachine::Get2DHybridMultiFractalNoiseValue(float x, float y, float res)
{
float result, signal, weight, remainder;
float offset = 1;
RecomputeExponentArray();
result = (Get2DSimplexNoiseValue(x,y,res) + offset) * exponent_array[0];
weight = result;
x *= m_lacunarity;
y *= m_lacunarity;
for(int i(1) ; i < m_octaves; ++i)
{
if(weight > 1.0)
weight = 1.0;
signal = (Get2DSimplexNoiseValue(x,y,res) + offset) * exponent_array[i];
result += weight * signal;
weight *= signal;
x *= m_lacunarity;
y *= m_lacunarity;
}
remainder = m_octaves - (int)m_octaves;
if(remainder != 0)
result += remainder * Get2DSimplexNoiseValue(x,y,res) * exponent_array[(int)m_octaves-1];
return result;
}
float NzNoiseMachine::Get3DHybridMultiFractalNoiseValue(float x, float y, float z, float res)
{
float result, signal, weight, remainder;
float offset = 1;
RecomputeExponentArray();
result = (Get3DSimplexNoiseValue(x,y,z,res) + offset) * exponent_array[0];
weight = result;
x *= m_lacunarity;
y *= m_lacunarity;
for(int i(1) ; i < m_octaves; ++i)
{
if(weight > 1.0)
weight = 1.0;
signal = ( Get3DSimplexNoiseValue(x,y,z,res) + offset ) * exponent_array[i];
result += weight * signal;
weight *= signal;
x *= m_lacunarity;
y *= m_lacunarity;
}
remainder = m_octaves - (int)m_octaves;
if(remainder != 0)
result += remainder * Get3DSimplexNoiseValue(x,y,z,res) * exponent_array[(int)m_octaves-1];
return result;
}
#include <Nazara/Core/DebugOff.hpp>