Noise: Fix errors/warnings
Former-commit-id: 37e946067a3324f102aabcad1f43bfdd775841a5 [formerly 04d3406dba7c84118888ba2cfdbf364f93860567] Former-commit-id: 53316c61e484c1968ddcfb7c75acc57956a054f4
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Lynix
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@ -3,6 +3,7 @@
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// For conditions of distribution and use, see copyright notice in Config.hpp
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#include <Nazara/Noise/NoiseBase.hpp>
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#include <numeric>
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#include <Nazara/Noise/Debug.hpp>
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namespace Nz
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@ -76,9 +76,6 @@ namespace Nz
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float Li1,Li2,Li3,Li4,Li5,Li6;
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float s[2],t[2],u[2],v[2];
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float Cx,Cy,Cz;
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float nx,ny,nz;
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float tmp;
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float tempx,tempy,tempz;
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xc = x * scale;
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@ -157,7 +154,6 @@ namespace Nz
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float s[4],t[4],u[4],v[4];
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float Cx,Cy,Cz,Cw;
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float tmp;
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float tempx,tempy,tempz,tempw;
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xc = x * scale;
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@ -12,12 +12,12 @@ namespace Nz
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{
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namespace
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{
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constexpr float s_SkewCoeff2D = 0.5f * (M_SQRT3 - 1.f);
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constexpr float s_UnskewCoeff2D = (3.f - M_SQRT3)/6.f;
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constexpr float s_SkewCoeff2D = 0.5f * (float(M_SQRT3) - 1.f);
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constexpr float s_UnskewCoeff2D = (3.f - float(M_SQRT3))/6.f;
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constexpr float s_SkewCoeff3D = 1.f / 3.f;
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constexpr float s_UnskewCoeff3D = 1.f / 6.f;
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constexpr float s_SkewCoeff4D = (M_SQRT5 - 1.f)/4.f;
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constexpr float s_UnskewCoeff4D = (5.f - M_SQRT5)/20.f;
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constexpr float s_SkewCoeff4D = (float(M_SQRT5) - 1.f)/4.f;
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constexpr float s_UnskewCoeff4D = (5.f - float(M_SQRT5))/20.f;
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}
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Simplex::Simplex(unsigned int seed)
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@ -39,7 +39,7 @@ namespace Nz
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Vector2f unskewedDistToOrigin(xc - unskewedCubeOrigin.x, yc - unskewedCubeOrigin.y);
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Vector2f off1;
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Vector2ui off1;
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if(unskewedDistToOrigin.x > unskewedDistToOrigin.y)
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off1.Set(1, 0);
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else
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@ -47,7 +47,7 @@ namespace Nz
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std::array<Vector2f, 3> d;
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d[0] = -unskewedDistToOrigin;
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d[1] = d[0] + off1 - Vector2f(s_UnskewCoeff2D);
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d[1] = d[0] + Vector2f(off1) - Vector2f(s_UnskewCoeff2D);
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d[2] = d[0] + Vector2f(1.f - 2.f * s_UnskewCoeff2D);
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Vector2i offset(skewedCubeOrigin.x & 255, skewedCubeOrigin.y & 255);
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@ -248,7 +248,7 @@ namespace Nz
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int c;
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float n1,n2,n3,n4,n5;
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float c1,c2,c3,c4,c5,c6;
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float c1,c2,c3,c4,c5;
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float sum;
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float unskewedCubeOriginx,unskewedCubeOriginy,unskewedCubeOriginz,unskewedCubeOriginw;
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@ -280,13 +280,13 @@ namespace Nz
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unskewedDistToOriginz = zc - unskewedCubeOriginz;
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unskewedDistToOriginw = wc - unskewedCubeOriginw;
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c1 = (unskewedDistToOriginx > unskewedDistToOriginy) ? 32 : 0;
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c2 = (unskewedDistToOriginx > unskewedDistToOriginz) ? 16 : 0;
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c3 = (unskewedDistToOriginy > unskewedDistToOriginz) ? 8 : 0;
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c4 = (unskewedDistToOriginx > unskewedDistToOriginw) ? 4 : 0;
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c5 = (unskewedDistToOriginy > unskewedDistToOriginw) ? 2 : 0;
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c6 = (unskewedDistToOriginz > unskewedDistToOriginw) ? 1 : 0;
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c = c1 + c2 + c3 + c4 + c5 + c6;
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c = 0;
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c += (unskewedDistToOriginx > unskewedDistToOriginy) ? 32 : 0;
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c += (unskewedDistToOriginx > unskewedDistToOriginz) ? 16 : 0;
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c += (unskewedDistToOriginy > unskewedDistToOriginz) ? 8 : 0;
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c += (unskewedDistToOriginx > unskewedDistToOriginw) ? 4 : 0;
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c += (unskewedDistToOriginy > unskewedDistToOriginw) ? 2 : 0;
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c += (unskewedDistToOriginz > unskewedDistToOriginw) ? 1 : 0;
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off1x = lookupTable[c][0] >= 3 ? 1 : 0;
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off1y = lookupTable[c][1] >= 3 ? 1 : 0;
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@ -14,10 +14,10 @@ namespace Nz
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{
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static constexpr std::array<float, 4> m_functionScales =
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{
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1.f / M_SQRT2,
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0.5f / M_SQRT2,
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0.5f / M_SQRT2,
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0.5f / M_SQRT2
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1.f / float(M_SQRT2),
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0.5f / float(M_SQRT2),
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0.5f / float(M_SQRT2),
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0.5f / float(M_SQRT2)
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};
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}
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Worley::Worley() :
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@ -53,58 +53,60 @@ namespace Nz
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SquareTest(x0,y0,xc,yc,featurePoints);
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std::size_t functionIndex = static_cast<std::size_t>(m_function);
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auto it = featurePoints.begin();
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std::advance(it, m_function);
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std::advance(it, functionIndex);
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if(fractx < it->first)
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SquareTest(x0 - 1,y0,xc,yc,featurePoints);
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it = featurePoints.begin();
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std::advance(it, m_function);
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std::advance(it, functionIndex);
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if(1.f - fractx < it->first)
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SquareTest(x0 + 1,y0,xc,yc,featurePoints);
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it = featurePoints.begin();
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std::advance(it, m_function);
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std::advance(it, functionIndex);
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if(fracty < it->first)
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SquareTest(x0,y0 - 1,xc,yc,featurePoints);
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it = featurePoints.begin();
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std::advance(it, m_function);
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std::advance(it, functionIndex);
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if (1.f - fracty < it->first)
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SquareTest(x0,y0 + 1,xc,yc,featurePoints);
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it = featurePoints.begin();
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std::advance(it, m_function);
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std::advance(it, functionIndex);
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if (fractx < it->first && fracty < it->first)
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SquareTest(x0 - 1, y0 - 1,xc,yc,featurePoints);
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it = featurePoints.begin();
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std::advance(it, m_function);
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std::advance(it, functionIndex);
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if (1.f - fractx < it->first && fracty < it->first)
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SquareTest(x0 + 1, y0 - 1,xc,yc,featurePoints);
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it = featurePoints.begin();
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std::advance(it, m_function);
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std::advance(it, functionIndex);
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if (fractx < it->first && 1.f - fracty < it->first)
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SquareTest(x0 - 1, y0 + 1,xc,yc,featurePoints);
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it = featurePoints.begin();
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std::advance(it, m_function);
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std::advance(it, functionIndex);
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if(1.f - fractx < it->first && 1.f - fracty < it->first)
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SquareTest(x0 + 1, y0 + 1,xc,yc,featurePoints);
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it = featurePoints.begin();
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std::advance(it, m_function);
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std::advance(it, functionIndex);
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return it->first * m_functionScales[m_function];
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return it->first * m_functionScales[functionIndex];
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}
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float Worley::Get(float x, float y, float z, float scale) const
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@ -127,16 +129,16 @@ namespace Nz
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int ii = xi & 255;
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int jj = yi & 255;
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int seed = m_permutations[ii + m_permutations[jj]];
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std::size_t seed = m_permutations[ii + m_permutations[jj]];
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//On initialise notre rng avec seed
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std::minstd_rand0 randomNumberGenerator(seed);
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std::minstd_rand0 randomNumberGenerator(static_cast<unsigned int>(seed));
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//On prend un nombre de points à déterminer dans le cube, compris entre 1 et 8
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unsigned int m = (seed & 7) + 1;
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std::size_t m = (seed & 7) + 1;
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//On calcule les emplacements des différents points
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for(unsigned int i(0) ; i < m ; ++i)
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for(std::size_t i(0) ; i < m; ++i)
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{
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Nz::Vector2f featurePoint;
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featurePoint.x = (randomNumberGenerator() & 1023) / 1023.f + static_cast<float>(xi);
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