#ifndef Magnum_Math_Vector_h #define Magnum_Math_Vector_h /* This file is part of Magnum. Copyright © 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023 Vladimír Vondruš 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. */ /** @file * @brief Class @ref Magnum::Math::Vector, function @ref Magnum::Math::dot(), @ref Magnum::Math::angle() */ /* std::declval() is said to be in but libstdc++, libc++ and MSVC STL all have it directly in because it just makes sense */ #include #include #ifndef CORRADE_SINGLES_NO_DEBUG #include #endif #include #include #include "Magnum/Magnum.h" #include "Magnum/visibility.h" #include "Magnum/Math/Angle.h" #include "Magnum/Math/BitVector.h" #include "Magnum/Math/TypeTraits.h" #ifdef MAGNUM_BUILD_DEPRECATED /* Some APIs returned std::pair before */ #include #endif namespace Magnum { namespace Math { #ifndef DOXYGEN_GENERATING_OUTPUT /* Documented in Functions.h, defined here because Vector needs them */ template inline typename std::enable_if::value, bool>::type isNan(T value) { return std::isnan(UnderlyingTypeOf(value)); } /* Keeping the same parameter names as in Functions.h so the note about NaN propagation works here too */ template constexpr typename std::enable_if::value, T>::type min(T value, T min) { return min < value ? min : value; } template constexpr typename std::enable_if::value, T>::type max(T value, T max) { return value < max ? max : value; } template constexpr typename std::enable_if::value, T>::type clamp(T value, T min, T max) { return Math::min(Math::max(value, min), max); } #endif namespace Implementation { template struct VectorConverter; /* Needed by DualQuaternion and Functions.h (to avoid dependency between them) */ template T lerp(const T& a, const T& b, U t) { /* While `t*(b - a) + a` is one ALU op less, the following is guaranteed to correctly preserves exact boundary values with t being 0 or 1. See FunctionsTest::lerpLimits() for details. */ return T((U(1) - t)*a + t*b); } template struct IsZero; template<> struct IsZero { template bool operator()(const Vector& vec) const { /* Proper comparison should be with epsilon^2, but the value is not representable in given precision. Comparing to epsilon instead. */ return std::abs(vec.dot()) < TypeTraits::epsilon(); } }; template<> struct IsZero { template bool operator()(const Vector& vec) const { return vec == Vector{}; } }; /* Used to make friends to speed up debug builds */ template struct MatrixDeterminant; /* To make gather() / scatter() faster */ template struct GatherComponentAt; template struct ScatterComponentOr; template constexpr T scatterRecursive(const T&, const Vector&, std::size_t); } /** @relatesalso Vector @brief Dot product of two vectors Returns `0` when two vectors are perpendicular, `> 0` when two vectors are in the same general direction, `1` when two *normalized* vectors are parallel, `< 0` when two vectors are in opposite general direction and `-1` when two * *normalized* vectors are antiparallel. @f[ \boldsymbol a \cdot \boldsymbol b = \sum_{i=0}^{n-1} \boldsymbol a_i \boldsymbol b_i @f] @see @ref Vector::dot() const, @ref Vector::operator-(), @ref Vector2::perpendicular() */ template inline T dot(const Vector& a, const Vector& b) { T out{}; for(std::size_t i = 0; i != size; ++i) out += a._data[i]*b._data[i]; return out; } /** @relatesalso Vector @brief Angle between normalized vectors Expects that both vectors are normalized. Enabled only for floating-point types. @f[ \theta = \arccos \left( \frac{\boldsymbol a \cdot \boldsymbol b}{|\boldsymbol a| |\boldsymbol b|} \right) = \arccos (\boldsymbol a \cdot \boldsymbol b) @f] To avoid numerical issues when two vectors are very close to each other, the dot product is clamped to the @f$ [-1, +1] @f$ range before being passed to @f$ \arccos @f$. @see @ref Vector::isNormalized(), @ref angle(const Complex&, const Complex&), @ref angle(const Quaternion&, const Quaternion&) */ template inline #ifdef DOXYGEN_GENERATING_OUTPUT Rad #else typename std::enable_if::value, Rad>::type #endif angle(const Vector& normalizedA, const Vector& normalizedB) { CORRADE_DEBUG_ASSERT(normalizedA.isNormalized() && normalizedB.isNormalized(), "Math::angle(): vectors" << normalizedA << "and" << normalizedB << "are not normalized", {}); return Rad(std::acos(clamp(dot(normalizedA, normalizedB), FloatingPoint(-1), FloatingPoint(1)))); } /** @brief Vector @tparam size Vector size @tparam T Underlying data type See @ref matrix-vector for brief introduction. @configurationvalueref{Magnum::Math::Vector} */ template class Vector { static_assert(size != 0, "Vector cannot have zero elements"); public: typedef T Type; /**< @brief Underlying data type */ enum: std::size_t { Size = size /**< Vector size */ }; /** * @brief Vector from an array * @return Reference to the data as if it was Vector, thus doesn't * perform any copying. * * Use with caution, the function doesn't check whether the array is * long enough. If possible, prefer to use the * @ref Vector(const T(&)[size_]) constructor. */ static Vector& from(T* data) { return *reinterpret_cast*>(data); } /** @overload */ static const Vector& from(const T* data) { return *reinterpret_cast*>(data); } /** * @brief Pad a vector * * If size of @p a is smaller than @ref Size, it is padded from right * with @p value, otherwise it's cut. * @see @ref Vector4::pad(const Vector&, T, T) */ template constexpr static Vector pad(const Vector& a, T value = T()) { return padInternal(typename Containers::Implementation::GenerateSequence::Type{}, a, value); } /** * @brief Default constructor * * Equivalent to @ref Vector(ZeroInitT). */ constexpr /*implicit*/ Vector() noexcept: _data{} {} /** * @brief Construct a zero vector * * @f[ * \boldsymbol v = \boldsymbol 0 * @f] */ constexpr explicit Vector(ZeroInitT) noexcept: _data{} {} /** @brief Construct a vector without initializing the contents */ explicit Vector(Magnum::NoInitT) noexcept {} /** @brief Construct a vector from components */ #ifdef DOXYGEN_GENERATING_OUTPUT template constexpr /*implicit*/ Vector(T first, U... next) noexcept; #else template::type> constexpr /*implicit*/ Vector(T first, U... next) noexcept: _data{first, next...} {} #endif /** * @brief Construct a vector from a fixed-size array * @m_since_latest * * Use @ref Vector::from(T*) "from(const T*)" to reinterpret an * arbitrary pointer to a vector. */ #if !defined(CORRADE_TARGET_GCC) || defined(CORRADE_TARGET_CLANG) || __GNUC__ >= 5 template constexpr explicit Vector(const T(&data)[size_]) noexcept: Vector{typename Containers::Implementation::GenerateSequence::Type{}, data} { static_assert(size_ == size, "wrong number of initializers"); } #else /* GCC 4.8 isn't able to figure out the size on its own. Which means there we use the type-provided size and lose the check for element count, but at least it compiles. */ constexpr explicit Vector(const T(&data)[size]) noexcept: Vector{typename Containers::Implementation::GenerateSequence::Type{}, data} {} #endif /** @brief Construct a vector with one value for all components */ #ifdef DOXYGEN_GENERATING_OUTPUT constexpr explicit Vector(T value) noexcept; #else template::value && size != 1, T>::type> constexpr explicit Vector(U value) noexcept: Vector(typename Containers::Implementation::GenerateSequence::Type{}, value) {} #endif /** * @brief Construct a vector from another of different type * * Performs only default casting on the values, no rounding or * anything else. Example usage: * * @snippet Math.cpp Vector-conversion */ template constexpr explicit Vector(const Vector& other) noexcept: Vector(typename Containers::Implementation::GenerateSequence::Type{}, other) {} /** * @brief Construct a vector from a BitVector * @m_since_latest * * Bits that are unset are converted to @cpp 0 @ce, set bits to * @cpp 1 @ce. If you need a different behavior, for example converting * a bit mask to @cpp 0 @ce or @cpp 255 @ce for a color representation, * use @ref lerp(const Vector&, const Vector&, const BitVector&) * instead, for example: * * @snippet Math.cpp Vector-conversion-bit */ constexpr explicit Vector(const BitVector& other) noexcept: Vector{typename Containers::Implementation::GenerateSequence::Type{}, other} {} /** @brief Construct a vector from external representation */ template::from(std::declval()))> constexpr explicit Vector(const U& other) noexcept: Vector(Implementation::VectorConverter::from(other)) {} /** @brief Convert the vector to external representation */ template::to(std::declval>()))> constexpr explicit operator U() const { return Implementation::VectorConverter::to(*this); } /** * @brief Raw data * * Contrary to what Doxygen shows, returns reference to an * one-dimensional fixed-size array of `size` elements, i.e. * @cpp T(&)[size] @ce. * @see @ref operator[]() * @todoc Fix once there's a possibility to patch the signature in a * post-processing step (https://github.com/mosra/m.css/issues/56) */ #ifdef DOXYGEN_GENERATING_OUTPUT T* data(); constexpr const T* data() const; /**< @overload */ #else auto data() -> T(&)[size] { return _data; } constexpr auto data() const -> const T(&)[size] { return _data; } #endif /** * @brief Value at given position * * @see @ref data() */ T& operator[](std::size_t pos) { return _data[pos]; } constexpr T operator[](std::size_t pos) const { return _data[pos]; } /**< @overload */ /** * @brief Equality comparison * * @see @ref Math::equal() */ bool operator==(const Vector& other) const { for(std::size_t i = 0; i != size; ++i) if(!TypeTraits::equals(_data[i], other._data[i])) return false; return true; } /** * @brief Non-equality comparison * * @see @ref Math::notEqual() */ bool operator!=(const Vector& other) const { return !operator==(other); } /** * @brief Component-wise less than comparison * * @m_keyword{lessThan(),GLSL lessThan(),} */ BitVector operator<(const Vector& other) const; /** * @brief Component-wise less than or equal comparison * * @m_keyword{lessThanEqual(),GLSL lessThanEqual(),} */ BitVector operator<=(const Vector& other) const; /** * @brief Component-wise greater than or equal comparison * * @m_keyword{greaterThanEqual(),GLSL greaterThanEqual(),} */ BitVector operator>=(const Vector& other) const; /** * @brief Component-wise greater than comparison * * @m_keyword{greaterThan(),GLSL greaterThan(),} */ BitVector operator>(const Vector& other) const; /** * @brief Whether the vector is zero * * @f[ * |\boldsymbol a \cdot \boldsymbol a - 0| < \epsilon^2 \cong \epsilon * @f] * @see @ref dot(), @ref normalized() */ bool isZero() const { return Implementation::IsZero::value>{}(*this); } /** * @brief Whether the vector is normalized * * The vector is normalized if it has unit length: @f[ * |\boldsymbol a \cdot \boldsymbol a - 1| < 2 \epsilon + \epsilon^2 \cong 2 \epsilon * @f] * @see @ref dot(), @ref normalized() */ bool isNormalized() const { return Implementation::isNormalizedSquared(dot()); } /** * @brief Promotion * @m_since_latest * * Returns the value as-is. */ constexpr Vector operator+() const { return *this; } /** * @brief Negated vector * * Enabled only for signed types. @f[ * \boldsymbol b_i = -\boldsymbol a_i * @f] * @see @ref flipped(), @ref Vector2::perpendicular() */ #ifdef DOXYGEN_GENERATING_OUTPUT constexpr Vector #else template constexpr typename std::enable_if::value, Vector>::type #endif operator-() const { return negateInternal(typename Containers::Implementation::GenerateSequence::Type{}); } /** * @brief Add and assign a vector * * The computation is done in-place. @f[ * \boldsymbol a_i = \boldsymbol a_i + \boldsymbol b_i * @f] */ Vector& operator+=(const Vector& other) { for(std::size_t i = 0; i != size; ++i) _data[i] += other._data[i]; return *this; } /** * @brief Add a vector * * @see @ref operator+=(), @ref sum() */ constexpr Vector operator+(const Vector& other) const { return addInternal(other, typename Containers::Implementation::GenerateSequence::Type{}); } /** * @brief Subtract and assign a vector * * The computation is done in-place. @f[ * \boldsymbol a_i = \boldsymbol a_i - \boldsymbol b_i * @f] */ Vector& operator-=(const Vector& other) { for(std::size_t i = 0; i != size; ++i) _data[i] -= other._data[i]; return *this; } /** * @brief Subtract a vector * * @see @ref operator-=() */ constexpr Vector operator-(const Vector& other) const { return subtractInternal(other, typename Containers::Implementation::GenerateSequence::Type{}); } /** * @brief Multiply with a scalar and assign * * The computation is done in-place. @f[ * \boldsymbol a_i = b \boldsymbol a_i * @f] * @see @ref operator*=(const Vector&), * @ref operator*=(FloatingPoint) */ Vector& operator*=(T scalar) { for(std::size_t i = 0; i != size; ++i) _data[i] *= scalar; return *this; } /** * @brief Multiply with a scalar * * @see @ref operator*(const Vector&) const, * @ref operator*=(T), @ref operator*(T, const Vector&), * @ref operator*(FloatingPoint) const */ constexpr Vector operator*(T scalar) const { return multiplyInternal(scalar, typename Containers::Implementation::GenerateSequence::Type{}); } /** * @brief Multiply a scalar with a vector * * Same as @ref operator*(T) const. */ constexpr friend Vector operator*( #ifdef DOXYGEN_GENERATING_OUTPUT T #else typename std::common_type::type #endif scalar, const Vector& vector) { return vector*scalar; } /** * @brief Multiply an integral vector with a floating-point scalar and assign * * Similar to @ref operator*=(T), except that the multiplication is * done in floating-point. The computation is done in-place. */ #ifdef DOXYGEN_GENERATING_OUTPUT template Vector& #else template typename std::enable_if::value && std::is_floating_point::value, Vector&>::type #endif operator*=(FloatingPoint scalar) { for(std::size_t i = 0; i != size; ++i) _data[i] = T(_data[i]*scalar); return *this; } /** * @brief Multiply an integral vector with a floating-point scalar * * Similar to @ref operator*(T) const, except that the multiplication * is done in floating-point. */ #ifdef DOXYGEN_GENERATING_OUTPUT template constexpr Vector #else template constexpr typename std::enable_if::value && std::is_floating_point::value, Vector>::type #endif operator*(FloatingPoint scalar) const { return multiplyIntegerInternal(scalar, typename Containers::Implementation::GenerateSequence::Type{}); } /** * @brief Multiply a floating-point scalar with an integral vector * * Same as @ref operator*(FloatingPoint) const. */ /* Note that this one isn't correctly picked up on MSVC 2015, there's an out-of-class overload wrapped in CORRADE_MSVC2015_COMPATIBILITY which is (and the two don't conflict, apparently, so both are present) */ #ifdef DOXYGEN_GENERATING_OUTPUT template friend constexpr Vector #else template friend constexpr typename std::enable_if::value && std::is_floating_point::value, Vector>::type #endif operator*(FloatingPoint scalar, const Vector& vector) { return vector*scalar; } /** * @brief Divide with a scalar and assign * * The computation is done in-place. @f[ * \boldsymbol a_i = \frac{\boldsymbol a_i} b * @f] * @see @ref operator/=(const Vector&), * @ref operator/=(FloatingPoint) */ Vector& operator/=(T scalar) { for(std::size_t i = 0; i != size; ++i) _data[i] /= scalar; return *this; } /** * @brief Divide with a scalar * * @see @ref operator/(const Vector&) const, * @ref operator/=(T), @ref operator/(T, const Vector&), * @ref operator/(FloatingPoint) const */ constexpr Vector operator/(T scalar) const { return divideInternal(scalar, typename Containers::Implementation::GenerateSequence::Type{}); } /** * @brief Divide a vector with a scalar and invert * * @f[ * \boldsymbol c_i = \frac b {\boldsymbol a_i} * @f] * @see @ref operator/(T) const */ friend constexpr Vector operator/( #ifdef DOXYGEN_GENERATING_OUTPUT T #else typename std::common_type::type #endif scalar, const Vector& vector) { return divideInternal(scalar, vector, typename Containers::Implementation::GenerateSequence::Type{}); } /** * @brief Divide an integral vector with a floating-point scalar and assign * * Similar to @ref operator/=(T), except that the division is done in * floating-point. The computation is done in-place. */ #ifdef DOXYGEN_GENERATING_OUTPUT template Vector& #else template typename std::enable_if::value && std::is_floating_point::value, Vector&>::type #endif operator/=(FloatingPoint scalar) { for(std::size_t i = 0; i != size; ++i) _data[i] = T(_data[i]/scalar); return *this; } /** * @brief Divide an integral vector with a floating-point scalar * * Similar to @ref operator/(T) const, except that the division is done * in floating-point. */ #ifdef DOXYGEN_GENERATING_OUTPUT template Vector constexpr #else template constexpr typename std::enable_if::value && std::is_floating_point::value, Vector>::type #endif operator/(FloatingPoint scalar) const { return divideIntegerInternal(scalar, typename Containers::Implementation::GenerateSequence::Type{}); } /** * @brief Multiply a vector component-wise and assign * * The computation is done in-place. @f[ * \boldsymbol a_i = \boldsymbol a_i \boldsymbol b_i * @f] * @see @ref operator*=(T), * @ref operator*=(const Vector&) */ Vector& operator*=(const Vector& other) { for(std::size_t i = 0; i != size; ++i) _data[i] *= other._data[i]; return *this; } /** * @brief Multiply a vector component-wise * * @see @ref operator*(T) const, @ref operator*=(const Vector&), * @ref operator*(const Vector&) const, * @ref product() */ constexpr Vector operator*(const Vector& other) const { return multiplyInternal(other, typename Containers::Implementation::GenerateSequence::Type{}); } /** * @brief Multiply an integral vector with a floating-point vector component-wise and assign * * Similar to @ref operator*=(const Vector&), except that the * multiplication is done in floating-point. The computation is done * in-place. */ #ifdef DOXYGEN_GENERATING_OUTPUT template Vector& #else template typename std::enable_if::value && std::is_floating_point::value, Vector&>::type #endif operator*=(const Vector& other) { for(std::size_t i = 0; i != size; ++i) _data[i] = T(_data[i]*other._data[i]); return *this; } /** * @brief Multiply an integral vector with a floating-point vector component-wise * * Similar to @ref operator*(const Vector&) const, except that * the multiplication is done in floating-point. The result is always * an integral vector, convert both arguments to the same * floating-point type to have a floating-point result. */ template::value && std::is_floating_point::value>::type* = nullptr #endif > constexpr Vector operator*(const Vector& other) const { return multiplyIntegerInternal(other, typename Containers::Implementation::GenerateSequence::Type{}); } /** * @brief Multiply a floating-point vector with an integral vector component-wise * * Same as @ref operator*(const Vector&) const. */ /* This was originally friend operator*(const Vector&, const Vector&), but that made it not found on MSVC 2015 and 2017 (and possibly newer?) for some reason. Making it a member operator makes it work, but it additionally has to prevent a conflict with the Integral*FloatingPoint variant above */ template::value && std::is_floating_point::value>::type* = nullptr #endif > constexpr Vector operator*(const Vector& other) const { return other**this; } /** * @brief Divide a vector component-wise and assign * * The computation is done in-place. @f[ * \boldsymbol a_i = \frac{\boldsymbol a_i}{\boldsymbol b_i} * @f] * @see @ref operator/=(T), * @ref operator/=(const Vector&) */ Vector& operator/=(const Vector& other) { for(std::size_t i = 0; i != size; ++i) _data[i] /= other._data[i]; return *this; } /** * @brief Divide a vector component-wise * * @see @ref operator/(T) const, @ref operator/=(const Vector&), * @ref operator/(const Vector&) const */ constexpr Vector operator/(const Vector& other) const { return divideInternal(other, typename Containers::Implementation::GenerateSequence::Type{}); } /** * @brief Divide an integral vector with a floating-point vector component-wise and assign * * Similar to @ref operator/=(const Vector&), except that the * division is done in floating-point. The computation is done * in-place. */ #ifdef DOXYGEN_GENERATING_OUTPUT template Vector& #else template typename std::enable_if::value && std::is_floating_point::value, Vector&>::type #endif operator/=(const Vector& other) { for(std::size_t i = 0; i != size; ++i) _data[i] = T(_data[i]/other._data[i]); return *this; } /** * @brief Divide an integral vector with a floating-point vector component-wise * * Similar to @ref Vector::operator/(const Vector&) const, * except that the division is done in floating-point. The result is * always an integral vector, convert both arguments to the same * floating-point type to have a floating-point result. */ #ifdef DOXYGEN_GENERATING_OUTPUT template constexpr Vector #else template constexpr typename std::enable_if::value && std::is_floating_point::value, Vector>::type #endif operator/(const Vector& other) const { return divideIntegerInternal(other, typename Containers::Implementation::GenerateSequence::Type{}); } /** * @brief Do modulo of a vector and assign * * Enabled only for integral types. The computation is done in-place. */ #ifdef DOXYGEN_GENERATING_OUTPUT Vector& #else template typename std::enable_if::value, Vector&>::type #endif operator%=(T scalar) { for(std::size_t i = 0; i != size; ++i) _data[i] %= scalar; return *this; } /** * @brief Modulo of a vector * * Enabled only for integral types. */ #ifdef DOXYGEN_GENERATING_OUTPUT constexpr Vector #else template constexpr typename std::enable_if::value, Vector>::type #endif operator%(T scalar) const { return moduloInternal(scalar, typename Containers::Implementation::GenerateSequence::Type{}); } /** * @brief Do modulo of two vectors and assign * * Enabled only for integral types. The computation is done in-place. */ #ifdef DOXYGEN_GENERATING_OUTPUT Vector& #else template typename std::enable_if::value, Vector&>::type #endif operator%=(const Vector& other) { for(std::size_t i = 0; i != size; ++i) _data[i] %= other._data[i]; return *this; } /** * @brief Modulo of two vectors * * Enabled only for integral types. */ #ifdef DOXYGEN_GENERATING_OUTPUT constexpr Vector #else template constexpr typename std::enable_if::value, Vector>::type #endif operator%(const Vector& other) const { return moduloInternal(other, typename Containers::Implementation::GenerateSequence::Type{}); } /** * @brief Bitwise NOT of a vector * * Enabled only for integral types. */ #ifdef DOXYGEN_GENERATING_OUTPUT constexpr Vector #else template constexpr typename std::enable_if::value, Vector>::type #endif operator~() const { return invertInternal(typename Containers::Implementation::GenerateSequence::Type{}); } /** * @brief Do bitwise AND of two vectors and assign * * Enabled only for integral types. The computation is done in-place. */ #ifdef DOXYGEN_GENERATING_OUTPUT Vector& #else template typename std::enable_if::value, Vector&>::type #endif operator&=(const Vector& other) { for(std::size_t i = 0; i != size; ++i) _data[i] &= other._data[i]; return *this; } /** * @brief Bitwise AND of two vectors * * Enabled only for integral types. */ #ifdef DOXYGEN_GENERATING_OUTPUT constexpr Vector #else template constexpr typename std::enable_if::value, Vector>::type #endif operator&(const Vector& other) const { return andInternal(other, typename Containers::Implementation::GenerateSequence::Type{}); } /** * @brief Do bitwise OR of two vectors and assign * * Enabled only for integral types. The computation is done in-place. */ #ifdef DOXYGEN_GENERATING_OUTPUT Vector& #else template typename std::enable_if::value, Vector&>::type #endif operator|=(const Vector& other) { for(std::size_t i = 0; i != size; ++i) _data[i] |= other._data[i]; return *this; } /** * @brief Bitwise OR of two vectors * * Enabled only for integral types. */ #ifdef DOXYGEN_GENERATING_OUTPUT constexpr Vector #else template constexpr typename std::enable_if::value, Vector>::type #endif operator|(const Vector& other) const { return orInternal(other, typename Containers::Implementation::GenerateSequence::Type{}); } /** * @brief Do bitwise XOR of two vectors and assign * * Enabled only for integral types. The computation is done in-place. */ #ifdef DOXYGEN_GENERATING_OUTPUT Vector& #else template typename std::enable_if::value, Vector&>::type #endif operator^=(const Vector& other) { for(std::size_t i = 0; i != size; ++i) _data[i] ^= other._data[i]; return *this; } /** * @brief Bitwise XOR of two vectors * * Enabled only for integral types. */ #ifdef DOXYGEN_GENERATING_OUTPUT constexpr Vector #else template constexpr typename std::enable_if::value, Vector>::type #endif operator^(const Vector& other) const { return xorInternal(other, typename Containers::Implementation::GenerateSequence::Type{}); } /** * @brief Do bitwise left shift of a vector and assign * * Enabled only for integral types. The computation is done in-place. */ #ifdef DOXYGEN_GENERATING_OUTPUT Vector& operator<<=(T shift) #else template typename std::enable_if::value, Vector&>::type operator<<=(typename std::common_type::type shift) #endif { for(std::size_t i = 0; i != size; ++i) _data[i] <<= shift; return *this; } /** * @brief Bitwise left shift of a vector * * Enabled only for integral types. */ #ifdef DOXYGEN_GENERATING_OUTPUT constexpr Vector operator<<(T shift) const #else template constexpr typename std::enable_if::value, Vector>::type operator<<(typename std::common_type::type shift) const #endif { return shiftLeftInternal(shift, typename Containers::Implementation::GenerateSequence::Type{}); } /** * @brief Do bitwise right shift of a vector and assign * * Enabled only for integral types. The computation is done in-place. */ #ifdef DOXYGEN_GENERATING_OUTPUT Vector& operator>>=(T shift) #else template typename std::enable_if::value, Vector&>::type operator>>=(typename std::common_type::type shift) #endif { for(std::size_t i = 0; i != size; ++i) _data[i] >>= shift; return *this; } /** * @brief Bitwise left shift of a vector * * Enabled only for integral types. */ #ifdef DOXYGEN_GENERATING_OUTPUT constexpr Vector operator>>(T shift) const #else template constexpr typename std::enable_if::value, Vector>::type operator>>(typename std::common_type::type shift) const #endif { return shiftRightInternal(shift, typename Containers::Implementation::GenerateSequence::Type{}); } /** * @brief Dot product of the vector * * Should be used instead of @ref length() for comparing vector length * with other values, because it doesn't compute the square root. @f[ * \boldsymbol a \cdot \boldsymbol a = \sum_{i=0}^{n-1} \boldsymbol a_i^2 * @f] * @see @ref dot(const Vector&, const Vector&), * @ref isNormalized(), @ref Distance::pointPointSquared(), * @ref Intersection::pointSphere() */ T dot() const { return Math::dot(*this, *this); } /** * @brief Vector length * * See also @ref dot() const which is faster for comparing length with * other values. @f[ * |\boldsymbol a| = \sqrt{\boldsymbol a \cdot \boldsymbol a} * @f] * * For integral types the result may be imprecise, to get a * floating-point value of desired precision, cast to a floating-point * vector first: * * @snippet Math.cpp Vector-length-integer * * A [Manhattan length](https://en.wikipedia.org/wiki/Taxicab_geometry) * might be more suitable than @ref length() in certain cases where the * square root is undesirable --- it's a sum of absolute values: * * @snippet Math.cpp Vector-length-manhattan * * @see @ref lengthInverted(), @ref Math::sqrt(), @ref normalized(), * @ref resized(), @ref Distance::pointPoint(), * @ref Intersection::pointSphere() * @todo something like std::hypot() for possibly better precision? */ T length() const { return T(std::sqrt(dot())); } /** * @brief Inverse vector length * * Enabled only for floating-point types. @f[ * \frac{1}{|\boldsymbol a|} = \frac{1}{\sqrt{\boldsymbol a \cdot \boldsymbol a}} * @f] * @see @ref length(), @ref Math::sqrtInverted(), @ref normalized(), * @ref resized() */ #ifdef DOXYGEN_GENERATING_OUTPUT T #else template typename std::enable_if::value, T>::type #endif lengthInverted() const { return T(1)/length(); } /** * @brief Normalized vector (of unit length) * * Enabled only for floating-point types. * @see @ref isNormalized(), @ref lengthInverted(), @ref resized() * @m_keyword{normalize(),GLSL normalize(),} */ #ifdef DOXYGEN_GENERATING_OUTPUT Vector #else template typename std::enable_if::value, Vector>::type #endif normalized() const { return *this*lengthInverted(); } /** * @brief Resized vector * * Convenience equivalent to the following code. Due to operation order * this function is faster than the obvious way of sizing * a @ref normalized() vector. Enabled only for floating-point types. * * @snippet Math.cpp Vector-resized * * @see @ref normalized() */ #ifdef DOXYGEN_GENERATING_OUTPUT Vector #else template typename std::enable_if::value, Vector>::type #endif resized(T length) const { return *this*(lengthInverted()*length); } /** * @brief Vector projected onto a line * * Returns a vector [projected](https://en.wikipedia.org/wiki/Vector_projection) * onto @p line. Enabled only for floating-point types. @f[ * \operatorname{proj}_{\boldsymbol{b}}\,(\boldsymbol{a}) = \frac{\boldsymbol a \cdot \boldsymbol b}{\boldsymbol b \cdot \boldsymbol b} \boldsymbol b * @f] * @see @ref Math::dot(), @ref projectedOntoNormalized() */ #ifdef DOXYGEN_GENERATING_OUTPUT Vector #else template typename std::enable_if::value, Vector>::type #endif projected(const Vector& line) const { return line*Math::dot(*this, line)/line.dot(); } /** * @brief Vector projected onto a normalized line * * Slightly faster alternative to @ref projected(), expects @p line to * be normalized. Enabled only for floating-point types. @f[ * \operatorname{proj}_{\boldsymbol{b}}\,(\boldsymbol{a}) = \frac{\boldsymbol a \cdot \boldsymbol b}{\boldsymbol b \cdot \boldsymbol b} \boldsymbol b = * (\boldsymbol a \cdot \boldsymbol b) \boldsymbol b * @f] * @see @ref Math::dot() */ #ifdef DOXYGEN_GENERATING_OUTPUT Vector #else template typename std::enable_if::value, Vector>::type #endif projectedOntoNormalized(const Vector& line) const; /** * @brief Flipped vector * * Returns the vector with components in reverse order. If you want to * flip the vector *direction* instead, negate it. * @see @ref operator-() const, * @ref RectangularMatrix::flippedCols(), * @ref RectangularMatrix::flippedRows() */ constexpr Vector flipped() const { return flippedInternal(typename Containers::Implementation::GenerateSequence::Type{}); } /** * @brief Sum of values in the vector * * @see @ref operator+(), @ref length() */ T sum() const; /** * @brief Product of values in the vector * * @see @ref operator*(const Vector&) const */ T product() const; /** * @brief Minimal value in the vector * * NaNs are ignored, unless the vector is all NaNs. * @see @ref Math::min(), @ref minmax(), @ref Math::isNan() */ T min() const; /** * @brief Maximal value in the vector * * NaNs are ignored, unless the vector is all NaNs. * @see @ref Math::max(), @ref minmax(), @ref Math::isNan() */ T max() const; /** * @brief Minimal and maximal value in the vector * * NaNs are ignored, unless the vector is all NaNs. * @see @ref min(), @ref max(), @ref Math::minmax(), @ref Math::isNan() */ Containers::Pair minmax() const; #ifndef DOXYGEN_GENERATING_OUTPUT protected: #else private: #endif /* So derived classes can avoid the overhead of operator[] in debug builds */ T _data[size]; /* Implementation for constexpr operators. Not SFINAE-restricted for integers or integers + floats, not marked as inline friends, no std::common_type workarounds for scalars as the callers do all that already. Protected as they're used directly by subclasses through the MAGNUM_VECTOR_SUBCLASS_IMPLEMENTATION() macro to speed up debug builds. */ template constexpr Vector negateInternal(Containers::Implementation::Sequence) const { /* All these explicitly cast to T because with e.g. Vector2s it would otherwise cause narrowing warnings because stupid C promotion rules make e.g. `short + short` result in an int */ return {T(-_data[sequence])...}; } template constexpr Vector addInternal(const Vector& other, Containers::Implementation::Sequence) const { return {T(_data[sequence] + other._data[sequence])...}; } template constexpr Vector subtractInternal(const Vector& other, Containers::Implementation::Sequence) const { return {T(_data[sequence] - other._data[sequence])...}; } template constexpr Vector multiplyInternal(T scalar, Containers::Implementation::Sequence) const { return {T(_data[sequence]*scalar)...}; } template constexpr Vector multiplyIntegerInternal(FloatingPoint scalar, Containers::Implementation::Sequence) const { /* This has to cast even without C promotion rules in effect, to convert a floating-point result back to an integer */ return {T(_data[sequence]*scalar)...}; } template constexpr Vector divideInternal(T scalar, Containers::Implementation::Sequence) const { return {T(_data[sequence]/scalar)...}; } template constexpr Vector divideIntegerInternal(FloatingPoint scalar, Containers::Implementation::Sequence) const { /* This has to cast even without C promotion rules in effect, to convert a floating-point result back to an integer */ return {T(_data[sequence]/scalar)...}; } template constexpr static Vector divideInternal(T scalar, const Vector& vector, Containers::Implementation::Sequence) { return {T(scalar/vector._data[sequence])...}; } template constexpr Vector multiplyInternal(const Vector& other, Containers::Implementation::Sequence) const { return {T(_data[sequence]*other._data[sequence])...}; } template constexpr Vector multiplyIntegerInternal(const Vector& other, Containers::Implementation::Sequence) const { /* This has to cast even without C promotion rules in effect, to convert a floating-point result back to an integer */ return {T(_data[sequence]*other._data[sequence])...}; } template constexpr Vector divideInternal(const Vector& other, Containers::Implementation::Sequence) const { return {T(_data[sequence]/other._data[sequence])...}; } template constexpr Vector divideIntegerInternal(const Vector& other, Containers::Implementation::Sequence) const { /* This has to cast even without C promotion rules in effect, to convert a floating-point result back to an integer */ return {T(_data[sequence]/other._data[sequence])...}; } template constexpr Vector moduloInternal(T scalar, Containers::Implementation::Sequence) const { return {T(_data[sequence] % scalar)...}; } template constexpr Vector moduloInternal(const Math::Vector& other, Containers::Implementation::Sequence) const { return {T(_data[sequence] % other._data[sequence])...}; } template constexpr Vector invertInternal(Containers::Implementation::Sequence) const { return {T(~_data[sequence])...}; } template constexpr Vector andInternal(const Math::Vector& other, Containers::Implementation::Sequence) const { return {T(_data[sequence] & other._data[sequence])...}; } template constexpr Vector orInternal(const Math::Vector& other, Containers::Implementation::Sequence) const { return {T(_data[sequence] | other._data[sequence])...}; } template constexpr Vector xorInternal(const Math::Vector& other, Containers::Implementation::Sequence) const { return {T(_data[sequence] ^ other._data[sequence])...}; } template constexpr Vector shiftLeftInternal(typename std::common_type::type shift, Containers::Implementation::Sequence) const { return {T(_data[sequence] << shift)...}; } template constexpr Vector shiftRightInternal(typename std::common_type::type shift, Containers::Implementation::Sequence) const { return {T(_data[sequence] >> shift)...}; } private: #ifndef DOXYGEN_GENERATING_OUTPUT /* Since I added deprecated aliases to Shaders::VectorGL, this FUCKING DUMPSTER FIRE DOXYGEN CRAP thinks this refers to Shaders::Vector or whatever fucking insane thing. WHAT THE FUCK. */ template friend class Vector; #endif /* These three needed to access _data to speed up debug builds */ template friend class RectangularMatrix; template friend class Matrix; template friend struct Implementation::MatrixDeterminant; /* To make gather() / scatter() faster */ template friend struct Implementation::GatherComponentAt; template friend struct Implementation::ScatterComponentOr; template friend constexpr T_ Implementation::scatterRecursive(const T_&, const Vector&, std::size_t); /* So the out-of-class comparators can access data directly to avoid function call overhead */ template friend BitVector equal(const Vector&, const Vector&); template friend BitVector notEqual(const Vector&, const Vector&); template friend U dot(const Vector&, const Vector&); /* Implementation for Vector::Vector(const T(&data)[size_]) */ template constexpr explicit Vector(Containers::Implementation::Sequence, const T(&data)[sizeof...(sequence)]) noexcept: _data{data[sequence]...} {} /* Implementation for Vector::Vector(const Vector&) */ template constexpr explicit Vector(Containers::Implementation::Sequence, const Vector& vector) noexcept: _data{T(vector._data[sequence])...} {} /* Implementation for Vector::Vector(const BitVector&) */ template constexpr explicit Vector(Containers::Implementation::Sequence, const BitVector& bitVector) noexcept: _data{T(bitVector[sequence])...} {} /* Implementation for Vector::Vector(U) */ template constexpr explicit Vector(Containers::Implementation::Sequence, T value) noexcept: _data{Implementation::repeat(value, sequence)...} {} template constexpr static Vector padInternal(Containers::Implementation::Sequence, const Vector& a, T value) { return {sequence < otherSize ? a[sequence] : value...}; } template constexpr Vector flippedInternal(Containers::Implementation::Sequence) const { return {_data[size - 1 - sequence]...}; } }; /** @relatesalso Vector @brief Component-wise equality comparison @m_since{2019,10} Unlike @ref Vector::operator==() returns a @ref BitVector instead of a single value. Vector complement to @ref equal(T, T). */ template inline BitVector equal(const Vector& a, const Vector& b) { BitVector out; for(std::size_t i = 0; i != size; ++i) out.set(i, TypeTraits::equals(a._data[i], b._data[i])); return out; } /** @relatesalso Vector @brief Component-wise non-equality comparison @m_since{2019,10} Unlike @ref Vector::operator!=() returns a @ref BitVector instead of a single value. Vector complement to @ref notEqual(T, T). */ template inline BitVector notEqual(const Vector& a, const Vector& b) { BitVector out; for(std::size_t i = 0; i != size; ++i) out.set(i, !TypeTraits::equals(a._data[i], b._data[i])); return out; } #ifndef CORRADE_SINGLES_NO_DEBUG /** @debugoperator{Vector} */ template Debug& operator<<(Debug& debug, const Vector& value) { /* Nested values should get printed with the same flags, so make all immediate flags temporarily global -- except NoSpace, unless it's also set globally */ const Utility::Debug::Flags prevFlags = debug.flags(); debug.setFlags(prevFlags | (debug.immediateFlags() & ~Utility::Debug::Flag::NoSpace)); const bool packed = debug.immediateFlags() >= Debug::Flag::Packed; debug << (packed ? "{" : "Vector(") << Debug::nospace; for(std::size_t i = 0; i != size; ++i) { if(i != 0) debug << Debug::nospace << ","; debug << value[i]; } debug << Debug::nospace << (packed ? "}" : ")"); /* Reset the original flags back */ debug.setFlags(prevFlags); return debug; } /* Explicit instantiation for commonly used types */ #ifndef DOXYGEN_GENERATING_OUTPUT extern template MAGNUM_EXPORT Debug& operator<<(Debug&, const Vector<2, Float>&); extern template MAGNUM_EXPORT Debug& operator<<(Debug&, const Vector<3, Float>&); extern template MAGNUM_EXPORT Debug& operator<<(Debug&, const Vector<4, Float>&); extern template MAGNUM_EXPORT Debug& operator<<(Debug&, const Vector<2, Int>&); extern template MAGNUM_EXPORT Debug& operator<<(Debug&, const Vector<3, Int>&); extern template MAGNUM_EXPORT Debug& operator<<(Debug&, const Vector<4, Int>&); extern template MAGNUM_EXPORT Debug& operator<<(Debug&, const Vector<2, UnsignedInt>&); extern template MAGNUM_EXPORT Debug& operator<<(Debug&, const Vector<3, UnsignedInt>&); extern template MAGNUM_EXPORT Debug& operator<<(Debug&, const Vector<4, UnsignedInt>&); extern template MAGNUM_EXPORT Debug& operator<<(Debug&, const Vector<2, Double>&); extern template MAGNUM_EXPORT Debug& operator<<(Debug&, const Vector<3, Double>&); extern template MAGNUM_EXPORT Debug& operator<<(Debug&, const Vector<4, Double>&); #endif #endif #ifndef DOXYGEN_GENERATING_OUTPUT #define MAGNUM_VECTOR_SUBCLASS_IMPLEMENTATION(size, Type_) \ static Type_& from(T* data) { \ return *reinterpret_cast*>(data); \ } \ static const Type_& from(const T* data) { \ return *reinterpret_cast*>(data); \ } \ template constexpr static Type_ pad(const Math::Vector& a, T value = T()) { \ return Math::Vector::pad(a, value); \ } \ \ constexpr Type_ operator+() const { \ return Math::Vector::operator+(); \ } \ template constexpr typename std::enable_if::value, Type_>::type \ operator-() const { \ return Math::Vector::negateInternal(typename Containers::Implementation::GenerateSequence::Type{}); \ } \ Type_& operator+=(const Math::Vector& other) { \ Math::Vector::operator+=(other); \ return *this; \ } \ constexpr Type_ operator+(const Math::Vector& other) const { \ return Math::Vector::addInternal(other, typename Containers::Implementation::GenerateSequence::Type{}); \ } \ Type_& operator-=(const Math::Vector& other) { \ Math::Vector::operator-=(other); \ return *this; \ } \ constexpr Type_ operator-(const Math::Vector& other) const { \ return Math::Vector::subtractInternal(other, typename Containers::Implementation::GenerateSequence::Type{}); \ } \ \ Type_& operator*=(T scalar) { \ Math::Vector::operator*=(scalar); \ return *this; \ } \ constexpr Type_ operator*(T scalar) const { \ return Math::Vector::multiplyInternal(scalar, typename Containers::Implementation::GenerateSequence::Type{}); \ } \ friend constexpr Type_ operator*(typename std::common_type::type scalar, const Type_& vector) { \ return scalar*static_cast&>(vector); \ } \ template typename std::enable_if::value && std::is_floating_point::value, Type_&>::type operator*=(FloatingPoint scalar) { \ Math::Vector::operator*=(scalar); \ return *this; \ } \ template constexpr typename std::enable_if::value && std::is_floating_point::value, Type_>::type operator*(FloatingPoint scalar) const { \ return Math::Vector::multiplyIntegerInternal(scalar, typename Containers::Implementation::GenerateSequence::Type{}); \ } \ template friend constexpr typename std::enable_if::value && std::is_floating_point::value, Type_>::type operator*(FloatingPoint scalar, const Type_& vector) { \ return scalar*static_cast&>(vector); \ } \ \ Type_& operator/=(T scalar) { \ Math::Vector::operator/=(scalar); \ return *this; \ } \ constexpr Type_ operator/(T scalar) const { \ return Math::Vector::divideInternal(scalar, typename Containers::Implementation::GenerateSequence::Type{}); \ } \ friend constexpr Type_ operator/(typename std::common_type::type scalar, const Type_& vector) { \ return scalar/static_cast&>(vector); \ } \ template typename std::enable_if::value && std::is_floating_point::value, Type_&>::type operator/=(FloatingPoint scalar) { \ Math::Vector::operator/=(scalar); \ return *this; \ } \ template constexpr typename std::enable_if::value && std::is_floating_point::value, Type_>::type operator/(FloatingPoint scalar) const { \ return Math::Vector::divideIntegerInternal(scalar, typename Containers::Implementation::GenerateSequence::Type{}); \ } \ \ Type_& operator*=(const Math::Vector& other) { \ Math::Vector::operator*=(other); \ return *this; \ } \ constexpr Type_ operator*(const Math::Vector& other) const { \ return Math::Vector::multiplyInternal(other, typename Containers::Implementation::GenerateSequence::Type{}); \ } \ template typename std::enable_if::value && std::is_floating_point::value, Type_&>::type operator*=(const Math::Vector& other) { \ Math::Vector::operator*=(other); \ return *this; \ } \ template::value && std::is_floating_point::value>::type* = nullptr> constexpr Type_ operator*(const Math::Vector& other) const { \ return Math::Vector::multiplyIntegerInternal(other, typename Containers::Implementation::GenerateSequence::Type{}); \ } \ template::value && std::is_floating_point::value>::type* = nullptr> constexpr Type_ operator*(const Math::Vector& other) const { \ return other**this; \ } \ \ Type_& operator/=(const Math::Vector& other) { \ Math::Vector::operator/=(other); \ return *this; \ } \ constexpr Type_ operator/(const Math::Vector& other) const { \ return Math::Vector::divideInternal(other, typename Containers::Implementation::GenerateSequence::Type{}); \ } \ template typename std::enable_if::value && std::is_floating_point::value, Type_&>::type operator/=(const Math::Vector& other) { \ Math::Vector::operator/=(other); \ return *this; \ } \ template constexpr typename std::enable_if::value && std::is_floating_point::value, Type_>::type operator/(const Math::Vector& other) const { \ return Math::Vector::divideIntegerInternal(other, typename Containers::Implementation::GenerateSequence::Type{}); \ } \ \ template typename std::enable_if::value, Type_&>::type operator%=(T scalar) { \ Math::Vector::operator%=(scalar); \ return *this; \ } \ template constexpr typename std::enable_if::value, Type_>::type operator%(T scalar) const { \ return Math::Vector::moduloInternal(scalar, typename Containers::Implementation::GenerateSequence::Type{}); \ } \ template typename std::enable_if::value, Type_&>::type operator%=(const Math::Vector& other) { \ Math::Vector::operator%=(other); \ return *this; \ } \ template constexpr typename std::enable_if::value, Type_>::type operator%(const Math::Vector& other) const { \ return Math::Vector::moduloInternal(other, typename Containers::Implementation::GenerateSequence::Type{}); \ } \ \ template constexpr typename std::enable_if::value, Type_>::type operator~() const { \ return Math::Vector::invertInternal(typename Containers::Implementation::GenerateSequence::Type{}); \ } \ template typename std::enable_if::value, Type_&>::type operator&=(const Math::Vector& other) { \ Math::Vector::operator&=(other); \ return *this; \ } \ template constexpr typename std::enable_if::value, Type_>::type operator&(const Math::Vector& other) const { \ return Math::Vector::andInternal(other, typename Containers::Implementation::GenerateSequence::Type{}); \ } \ template typename std::enable_if::value, Type_&>::type operator|=(const Math::Vector& other) { \ Math::Vector::operator|=(other); \ return *this; \ } \ template constexpr typename std::enable_if::value, Type_>::type operator|(const Math::Vector& other) const { \ return Math::Vector::orInternal(other, typename Containers::Implementation::GenerateSequence::Type{}); \ } \ template typename std::enable_if::value, Type_&>::type operator^=(const Math::Vector& other) { \ Math::Vector::operator^=(other); \ return *this; \ } \ template constexpr typename std::enable_if::value, Type_>::type operator^(const Math::Vector& other) const { \ return Math::Vector::xorInternal(other, typename Containers::Implementation::GenerateSequence::Type{}); \ } \ template typename std::enable_if::value, Type_&>::type operator<<=(typename std::common_type::type shift) { \ Math::Vector::operator<<=(shift); \ return *this; \ } \ template constexpr typename std::enable_if::value, Type_>::type operator<<(typename std::common_type::type shift) const { \ return Math::Vector::shiftLeftInternal(shift, typename Containers::Implementation::GenerateSequence::Type{}); \ } \ template typename std::enable_if::value, Type_&>::type operator>>=(typename std::common_type::type shift) { \ Math::Vector::operator>>=(shift); \ return *this; \ } \ template constexpr typename std::enable_if::value, Type_>::type operator>>(typename std::common_type::type shift) const { \ return Math::Vector::shiftRightInternal(shift, typename Containers::Implementation::GenerateSequence::Type{}); \ } \ \ template typename std::enable_if::value, Type_>::type normalized() const { \ return Math::Vector::normalized(); \ } \ template typename std::enable_if::value, Type_>::type resized(T length) const { \ return Math::Vector::resized(length); \ } \ template typename std::enable_if::value, Type_>::type projected(const Math::Vector& other) const { \ return Math::Vector::projected(other); \ } \ template typename std::enable_if::value, Type_>::type projectedOntoNormalized(const Math::Vector& other) const { \ return Math::Vector::projectedOntoNormalized(other); \ } \ constexpr Type_ flipped() const { \ return Math::Vector::flipped(); \ } #endif #ifdef CORRADE_MSVC2015_COMPATIBILITY /* MSVC 2015 doesn't correctly pick up the in-class inline friend that does this, resulting in float*VectorNi expressions being wrongly executed as int*VectorNi due to an implicit conversion fallback. This overload is picked up correctly (and doesn't conflict with the in-class one), subclasses then need to use the MAGNUM_VECTORn_OPERATOR_IMPLEMENTATION() overloads as well to return a correct subtype. See VectorTest::multiplyDivideIntegral(), VectorTest::subclass() and corresponding cases in Vector2Test, Vector3Test, Vector4Test and ColorTest for regression tests. The same issue and a matching workaround is done in Unit as well. */ template constexpr typename std::enable_if::value && std::is_floating_point::value, Vector>::type operator*(FloatingPoint scalar, const Vector& vector) { return vector*scalar; } #define MAGNUM_VECTORn_OPERATOR_IMPLEMENTATION(size, Type) \ template constexpr typename std::enable_if::value && std::is_floating_point::value, Type>::type operator*(FloatingPoint scalar, const Type& vector) { \ return vector*scalar; \ } #endif template inline BitVector Vector::operator<(const Vector& other) const { BitVector out; for(std::size_t i = 0; i != size; ++i) out.set(i, _data[i] < other._data[i]); return out; } template inline BitVector Vector::operator<=(const Vector& other) const { BitVector out; for(std::size_t i = 0; i != size; ++i) out.set(i, _data[i] <= other._data[i]); return out; } template inline BitVector Vector::operator>=(const Vector& other) const { BitVector out; for(std::size_t i = 0; i != size; ++i) out.set(i, _data[i] >= other._data[i]); return out; } template inline BitVector Vector::operator>(const Vector& other) const { BitVector out; for(std::size_t i = 0; i != size; ++i) out.set(i, _data[i] > other._data[i]); return out; } template #ifdef DOXYGEN_GENERATING_OUTPUT inline Vector #else template inline typename std::enable_if::value, Vector>::type #endif Vector::projectedOntoNormalized(const Vector& line) const { CORRADE_DEBUG_ASSERT(line.isNormalized(), "Math::Vector::projectedOntoNormalized(): line" << line << "is not normalized", {}); return line*Math::dot(*this, line); } template inline T Vector::sum() const { T out(_data[0]); for(std::size_t i = 1; i != size; ++i) out += _data[i]; return out; } template inline T Vector::product() const { T out(_data[0]); for(std::size_t i = 1; i != size; ++i) out *= _data[i]; return out; } namespace Implementation { /* Non-floating-point types, the first is a non-NaN for sure */ template constexpr std::size_t firstNonNan(const T(&)[size], std::false_type) { return 0; } /* Floating-point types, return the first that's not NaN */ template inline std::size_t firstNonNan(const T(&data)[size], std::true_type) { /* Find the first non-NaN value to compare against. If all are NaN, return the last value so the following loop in min/max/minmax() doesn't even execute. */ for(std::size_t i = 0; i != size; ++i) if(!isNan(data[i])) return i; return size - 1; } } template inline T Vector::min() const { std::size_t i = Implementation::firstNonNan(_data, IsFloatingPoint{}); T out(_data[i]); for(++i; i != size; ++i) out = Math::min(out, _data[i]); return out; } template inline T Vector::max() const { std::size_t i = Implementation::firstNonNan(_data, IsFloatingPoint{}); T out(_data[i]); for(++i; i != size; ++i) out = Math::max(out, _data[i]); return out; } template inline Containers::Pair Vector::minmax() const { std::size_t i = Implementation::firstNonNan(_data, IsFloatingPoint{}); T min{_data[i]}, max{_data[i]}; for(++i; i != size; ++i) { if(_data[i] < min) min = _data[i]; else if(_data[i] > max) max = _data[i]; } return {min, max}; } #ifndef MAGNUM_NO_MATH_STRICT_WEAK_ORDERING namespace Implementation { template struct StrictWeakOrdering> { bool operator()(const Vector& a, const Vector& b) const { for(std::size_t i = 0; i < size; ++i) { if(a[i] < b[i]) return true; if(a[i] > b[i]) return false; } return false; /* a and b are equivalent */ } }; } #endif }} #endif