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https://github.com/JoeyDeVries/LearnOpenGL.git
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Update GLM to latest version (0.9.9.3). This includes GLM's change of matrices no longer default initializing to the identity matrix. This commit thus also includes the update of all of LearnOpenGL's code to reflect this: all matrices are now constructor-initialized to the identity matrix where relevant.
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@@ -1,39 +1,9 @@
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///////////////////////////////////////////////////////////////////////////////////
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/// OpenGL Mathematics (glm.g-truc.net)
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///
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/// Copyright (c) 2005 - 2015 G-Truc Creation (www.g-truc.net)
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/// Permission is hereby granted, free of charge, to any person obtaining a copy
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/// of this software and associated documentation files (the "Software"), to deal
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/// in the Software without restriction, including without limitation the rights
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/// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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/// copies of the Software, and to permit persons to whom the Software is
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/// furnished to do so, subject to the following conditions:
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///
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/// The above copyright notice and this permission notice shall be included in
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/// all copies or substantial portions of the Software.
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///
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/// Restrictions:
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/// By making use of the Software for military purposes, you choose to make
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/// a Bunny unhappy.
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///
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/// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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/// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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/// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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/// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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/// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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/// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
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/// THE SOFTWARE.
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///
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/// @ref gtx_fast_square_root
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/// @file glm/gtx/fast_square_root.inl
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/// @date 2006-01-04 / 2011-06-07
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/// @author Christophe Riccio
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///////////////////////////////////////////////////////////////////////////////////////////////////
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namespace glm
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{
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// fastSqrt
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template <typename genType>
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template<typename genType>
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GLM_FUNC_QUALIFIER genType fastSqrt(genType x)
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{
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GLM_STATIC_ASSERT(std::numeric_limits<genType>::is_iec559, "'fastSqrt' only accept floating-point input");
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@@ -41,32 +11,32 @@ namespace glm
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return genType(1) / fastInverseSqrt(x);
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}
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template <typename T, precision P, template <typename, precision> class vecType>
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GLM_FUNC_QUALIFIER vecType<T, P> fastSqrt(vecType<T, P> const & x)
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template<length_t L, typename T, qualifier Q>
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GLM_FUNC_QUALIFIER vec<L, T, Q> fastSqrt(vec<L, T, Q> const& x)
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{
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return detail::functor1<T, T, P, vecType>::call(fastSqrt, x);
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return detail::functor1<vec, L, T, T, Q>::call(fastSqrt, x);
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}
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// fastInversesqrt
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template <typename genType>
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template<typename genType>
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GLM_FUNC_QUALIFIER genType fastInverseSqrt(genType x)
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{
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# ifdef __CUDACC__ // Wordaround for a CUDA compiler bug up to CUDA6
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tvec1<T, P> tmp(detail::compute_inversesqrt<tvec1, genType, lowp>::call(tvec1<genType, lowp>(x)));
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vec<1, T, Q> tmp(detail::compute_inversesqrt<tvec1, genType, lowp, detail::is_aligned<lowp>::value>::call(vec<1, genType, lowp>(x)));
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return tmp.x;
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# else
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return detail::compute_inversesqrt<tvec1, genType, lowp>::call(tvec1<genType, lowp>(x)).x;
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return detail::compute_inversesqrt<1, genType, lowp, detail::is_aligned<lowp>::value>::call(vec<1, genType, lowp>(x)).x;
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# endif
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}
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template <typename T, precision P, template <typename, precision> class vecType>
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GLM_FUNC_QUALIFIER vecType<T, P> fastInverseSqrt(vecType<T, P> const & x)
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template<length_t L, typename T, qualifier Q>
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GLM_FUNC_QUALIFIER vec<L, T, Q> fastInverseSqrt(vec<L, T, Q> const& x)
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{
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return detail::compute_inversesqrt<vecType, T, P>::call(x);
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return detail::compute_inversesqrt<L, T, Q, detail::is_aligned<Q>::value>::call(x);
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}
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// fastLength
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template <typename genType>
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template<typename genType>
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GLM_FUNC_QUALIFIER genType fastLength(genType x)
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{
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GLM_STATIC_ASSERT(std::numeric_limits<genType>::is_iec559, "'fastLength' only accept floating-point inputs");
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@@ -74,8 +44,8 @@ namespace glm
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return abs(x);
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}
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template <typename T, precision P, template <typename, precision> class vecType>
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GLM_FUNC_QUALIFIER T fastLength(vecType<T, P> const & x)
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template<length_t L, typename T, qualifier Q>
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GLM_FUNC_QUALIFIER T fastLength(vec<L, T, Q> const& x)
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{
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GLM_STATIC_ASSERT(std::numeric_limits<T>::is_iec559, "'fastLength' only accept floating-point inputs");
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@@ -83,27 +53,27 @@ namespace glm
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}
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// fastDistance
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template <typename genType>
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template<typename genType>
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GLM_FUNC_QUALIFIER genType fastDistance(genType x, genType y)
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{
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return fastLength(y - x);
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}
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template <typename T, precision P, template <typename, precision> class vecType>
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GLM_FUNC_QUALIFIER T fastDistance(vecType<T, P> const & x, vecType<T, P> const & y)
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template<length_t L, typename T, qualifier Q>
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GLM_FUNC_QUALIFIER T fastDistance(vec<L, T, Q> const& x, vec<L, T, Q> const& y)
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{
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return fastLength(y - x);
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}
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// fastNormalize
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template <typename genType>
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template<typename genType>
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GLM_FUNC_QUALIFIER genType fastNormalize(genType x)
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{
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return x > genType(0) ? genType(1) : -genType(1);
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}
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template <typename T, precision P, template <typename, precision> class vecType>
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GLM_FUNC_QUALIFIER vecType<T, P> fastNormalize(vecType<T, P> const & x)
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template<length_t L, typename T, qualifier Q>
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GLM_FUNC_QUALIFIER vec<L, T, Q> fastNormalize(vec<L, T, Q> const& x)
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{
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return x * fastInverseSqrt(dot(x, x));
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}
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