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| author | Miles Macklin <[email protected]> | 2017-03-10 14:51:31 +1300 |
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| committer | Miles Macklin <[email protected]> | 2017-03-10 14:51:31 +1300 |
| commit | ad3d90fafe5ee79964bdfe1f1e0704c3ffcdfd5f (patch) | |
| tree | 4cc6f3288363889d7342f7f8407c0251e6904819 /core/vec2.h | |
| download | flex-ad3d90fafe5ee79964bdfe1f1e0704c3ffcdfd5f.tar.xz flex-ad3d90fafe5ee79964bdfe1f1e0704c3ffcdfd5f.zip | |
Initial 1.1.0 binary release
Diffstat (limited to 'core/vec2.h')
| -rw-r--r-- | core/vec2.h | 174 |
1 files changed, 174 insertions, 0 deletions
diff --git a/core/vec2.h b/core/vec2.h new file mode 100644 index 0000000..3570c47 --- /dev/null +++ b/core/vec2.h @@ -0,0 +1,174 @@ +// This code contains NVIDIA Confidential Information and is disclosed to you +// under a form of NVIDIA software license agreement provided separately to you. +// +// Notice +// NVIDIA Corporation and its licensors retain all intellectual property and +// proprietary rights in and to this software and related documentation and +// any modifications thereto. Any use, reproduction, disclosure, or +// distribution of this software and related documentation without an express +// license agreement from NVIDIA Corporation is strictly prohibited. +// +// ALL NVIDIA DESIGN SPECIFICATIONS, CODE ARE PROVIDED "AS IS.". NVIDIA MAKES +// NO WARRANTIES, EXPRESSED, IMPLIED, STATUTORY, OR OTHERWISE WITH RESPECT TO +// THE MATERIALS, AND EXPRESSLY DISCLAIMS ALL IMPLIED WARRANTIES OF NONINFRINGEMENT, +// MERCHANTABILITY, AND FITNESS FOR A PARTICULAR PURPOSE. +// +// Information and code furnished is believed to be accurate and reliable. +// However, NVIDIA Corporation assumes no responsibility for the consequences of use of such +// information or for any infringement of patents or other rights of third parties that may +// result from its use. No license is granted by implication or otherwise under any patent +// or patent rights of NVIDIA Corporation. Details are subject to change without notice. +// This code supersedes and replaces all information previously supplied. +// NVIDIA Corporation products are not authorized for use as critical +// components in life support devices or systems without express written approval of +// NVIDIA Corporation. +// +// Copyright (c) 2013-2016 NVIDIA Corporation. All rights reserved. + +#pragma once + +#if defined(_WIN32) && !defined(__CUDACC__) +#if defined(_DEBUG) + +#define VEC2_VALIDATE() { assert(_finite(x));\ + assert(!_isnan(x));\ + \ + assert(_finite(y));\ + assert(!_isnan(y));\ + } +#else + +#define VEC2_VALIDATE() {\ + assert(isfinite(x));\ + assert(isfinite(y)); }\ + +#endif // _WIN32 + +#else +#define VEC2_VALIDATE() +#endif + +#ifdef _DEBUG +#define FLOAT_VALIDATE(f) { assert(_finite(f)); assert(!_isnan(f)); } +#else +#define FLOAT_VALIDATE(f) +#endif + + +// vec2 +template <typename T> +class XVector2 +{ +public: + + typedef T value_type; + + CUDA_CALLABLE XVector2() : x(0.0f), y(0.0f) { VEC2_VALIDATE(); } + CUDA_CALLABLE XVector2(T _x) : x(_x), y(_x) { VEC2_VALIDATE(); } + CUDA_CALLABLE XVector2(T _x, T _y) : x(_x), y(_y) { VEC2_VALIDATE(); } + CUDA_CALLABLE XVector2(const T* p) : x(p[0]), y(p[1]) {} + + template <typename U> + CUDA_CALLABLE explicit XVector2(const XVector2<U>& v) : x(v.x), y(v.y) {} + + CUDA_CALLABLE operator T* () { return &x; } + CUDA_CALLABLE operator const T* () const { return &x; }; + + CUDA_CALLABLE void Set(T x_, T y_) { VEC2_VALIDATE(); x = x_; y = y_; } + + CUDA_CALLABLE XVector2<T> operator * (T scale) const { XVector2<T> r(*this); r *= scale; VEC2_VALIDATE(); return r; } + CUDA_CALLABLE XVector2<T> operator / (T scale) const { XVector2<T> r(*this); r /= scale; VEC2_VALIDATE(); return r; } + CUDA_CALLABLE XVector2<T> operator + (const XVector2<T>& v) const { XVector2<T> r(*this); r += v; VEC2_VALIDATE(); return r; } + CUDA_CALLABLE XVector2<T> operator - (const XVector2<T>& v) const { XVector2<T> r(*this); r -= v; VEC2_VALIDATE(); return r; } + + CUDA_CALLABLE XVector2<T>& operator *=(T scale) {x *= scale; y *= scale; VEC2_VALIDATE(); return *this;} + CUDA_CALLABLE XVector2<T>& operator /=(T scale) {T s(1.0f/scale); x *= s; y *= s; VEC2_VALIDATE(); return *this;} + CUDA_CALLABLE XVector2<T>& operator +=(const XVector2<T>& v) {x += v.x; y += v.y; VEC2_VALIDATE(); return *this;} + CUDA_CALLABLE XVector2<T>& operator -=(const XVector2<T>& v) {x -= v.x; y -= v.y; VEC2_VALIDATE(); return *this;} + + CUDA_CALLABLE XVector2<T>& operator *=(const XVector2<T>& scale) {x *= scale.x; y *= scale.y; VEC2_VALIDATE(); return *this;} + + // negate + CUDA_CALLABLE XVector2<T> operator -() const { VEC2_VALIDATE(); return XVector2<T>(-x, -y); } + + // returns this vector + CUDA_CALLABLE void Normalize() { *this /= Length(*this); } + CUDA_CALLABLE void SafeNormalize(const XVector2<T>& v=XVector2<T>(0.0f,0.0f)) + { + T length = Length(*this); + *this = (length==0.00001f)?v:(*this /= length); + } + + T x; + T y; +}; + +typedef XVector2<float> Vec2; +typedef XVector2<float> Vector2; + +// lhs scalar scale +template <typename T> +CUDA_CALLABLE XVector2<T> operator *(T lhs, const XVector2<T>& rhs) +{ + XVector2<T> r(rhs); + r *= lhs; + return r; +} + +template <typename T> +CUDA_CALLABLE XVector2<T> operator*(const XVector2<T>& lhs, const XVector2<T>& rhs) +{ + XVector2<T> r(lhs); + r *= rhs; + return r; +} + +template <typename T> +CUDA_CALLABLE bool operator==(const XVector2<T>& lhs, const XVector2<T>& rhs) +{ + return (lhs.x == rhs.x && lhs.y == rhs.y); +} + + +template <typename T> +CUDA_CALLABLE T Dot(const XVector2<T>& v1, const XVector2<T>& v2) +{ + return v1.x * v2.x + v1.y * v2.y; +} + +// returns the ccw perpendicular vector +template <typename T> +CUDA_CALLABLE XVector2<T> PerpCCW(const XVector2<T>& v) +{ + return XVector2<T>(-v.y, v.x); +} + +template <typename T> +CUDA_CALLABLE XVector2<T> PerpCW(const XVector2<T>& v) +{ + return XVector2<T>(v.y, -v.x); +} + +// component wise min max functions +template <typename T> +CUDA_CALLABLE XVector2<T> Max(const XVector2<T>& a, const XVector2<T>& b) +{ + return XVector2<T>(Max(a.x, b.x), Max(a.y, b.y)); +} + +template <typename T> +CUDA_CALLABLE XVector2<T> Min(const XVector2<T>& a, const XVector2<T>& b) +{ + return XVector2<T>(Min(a.x, b.x), Min(a.y, b.y)); +} + +// 2d cross product, treat as if a and b are in the xy plane and return magnitude of z +template <typename T> +CUDA_CALLABLE T Cross(const XVector2<T>& a, const XVector2<T>& b) +{ + return (a.x*b.y - a.y*b.x); +} + + + + |