Use spans more for voice processing
[openal-soft.git] / common / vecmat.h
blob4bb7910b67d63f881868af91313cd53db31c567f
1 #ifndef COMMON_VECMAT_H
2 #define COMMON_VECMAT_H
4 #include <array>
5 #include <cmath>
6 #include <cstddef>
7 #include <limits>
8 #include <type_traits>
10 #include "alspan.h"
13 namespace alu {
15 template<typename T>
16 class VectorR {
17 static_assert(std::is_floating_point<T>::value, "Must use floating-point types");
18 alignas(16) std::array<T,4> mVals;
20 public:
21 constexpr VectorR() noexcept = default;
22 constexpr VectorR(const VectorR&) noexcept = default;
23 constexpr explicit VectorR(T a, T b, T c, T d) noexcept : mVals{a, b, c, d} { }
25 constexpr VectorR& operator=(const VectorR&) noexcept = default;
27 constexpr T& operator[](size_t idx) noexcept { return mVals[idx]; }
28 constexpr const T& operator[](size_t idx) const noexcept { return mVals[idx]; }
30 constexpr VectorR& operator+=(const VectorR &rhs) noexcept
32 mVals[0] += rhs.mVals[0];
33 mVals[1] += rhs.mVals[1];
34 mVals[2] += rhs.mVals[2];
35 mVals[3] += rhs.mVals[3];
36 return *this;
39 constexpr VectorR operator-(const VectorR &rhs) const noexcept
41 return VectorR{mVals[0] - rhs.mVals[0], mVals[1] - rhs.mVals[1],
42 mVals[2] - rhs.mVals[2], mVals[3] - rhs.mVals[3]};
45 constexpr T normalize(T limit = std::numeric_limits<T>::epsilon())
47 limit = std::max(limit, std::numeric_limits<T>::epsilon());
48 const T length_sqr{mVals[0]*mVals[0] + mVals[1]*mVals[1] + mVals[2]*mVals[2]};
49 if(length_sqr > limit*limit)
51 const T length{std::sqrt(length_sqr)};
52 T inv_length{T{1}/length};
53 mVals[0] *= inv_length;
54 mVals[1] *= inv_length;
55 mVals[2] *= inv_length;
56 return length;
58 mVals[0] = mVals[1] = mVals[2] = T{0};
59 return T{0};
62 [[nodiscard]] constexpr auto cross_product(const alu::VectorR<T> &rhs) const noexcept -> VectorR
64 return VectorR{
65 mVals[1]*rhs.mVals[2] - mVals[2]*rhs.mVals[1],
66 mVals[2]*rhs.mVals[0] - mVals[0]*rhs.mVals[2],
67 mVals[0]*rhs.mVals[1] - mVals[1]*rhs.mVals[0],
68 T{0}};
71 [[nodiscard]] constexpr auto dot_product(const alu::VectorR<T> &rhs) const noexcept -> T
72 { return mVals[0]*rhs.mVals[0] + mVals[1]*rhs.mVals[1] + mVals[2]*rhs.mVals[2]; }
74 using Vector = VectorR<float>;
76 template<typename T>
77 class MatrixR {
78 static_assert(std::is_floating_point<T>::value, "Must use floating-point types");
79 alignas(16) std::array<T,16> mVals;
81 public:
82 constexpr MatrixR() noexcept = default;
83 constexpr MatrixR(const MatrixR&) noexcept = default;
84 constexpr explicit MatrixR(
85 T aa, T ab, T ac, T ad,
86 T ba, T bb, T bc, T bd,
87 T ca, T cb, T cc, T cd,
88 T da, T db, T dc, T dd) noexcept
89 : mVals{aa,ab,ac,ad, ba,bb,bc,bd, ca,cb,cc,cd, da,db,dc,dd}
90 { }
92 constexpr MatrixR& operator=(const MatrixR&) noexcept = default;
94 constexpr auto operator[](size_t idx) noexcept { return al::span<T,4>{&mVals[idx*4], 4}; }
95 constexpr auto operator[](size_t idx) const noexcept
96 { return al::span<const T,4>{&mVals[idx*4], 4}; }
98 static constexpr MatrixR Identity() noexcept
100 return MatrixR{
101 T{1}, T{0}, T{0}, T{0},
102 T{0}, T{1}, T{0}, T{0},
103 T{0}, T{0}, T{1}, T{0},
104 T{0}, T{0}, T{0}, T{1}};
107 using Matrix = MatrixR<float>;
109 template<typename T>
110 constexpr VectorR<T> operator*(const MatrixR<T> &mtx, const VectorR<T> &vec) noexcept
112 return VectorR<T>{
113 vec[0]*mtx[0][0] + vec[1]*mtx[1][0] + vec[2]*mtx[2][0] + vec[3]*mtx[3][0],
114 vec[0]*mtx[0][1] + vec[1]*mtx[1][1] + vec[2]*mtx[2][1] + vec[3]*mtx[3][1],
115 vec[0]*mtx[0][2] + vec[1]*mtx[1][2] + vec[2]*mtx[2][2] + vec[3]*mtx[3][2],
116 vec[0]*mtx[0][3] + vec[1]*mtx[1][3] + vec[2]*mtx[2][3] + vec[3]*mtx[3][3]};
119 } // namespace alu
121 #endif /* COMMON_VECMAT_H */