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fix: declarations
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@ -97,17 +97,17 @@ namespace glm {
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/// Sorts a group of Eigenvalues&Eigenvectors, for largest Eigenvalue to smallest Eigenvalue.
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/// The data in `outEigenvalues` and `outEigenvectors` are assumed to be matching order, i.e. `outEigenvector[i]` is the Eigenvector of the Eigenvalue `outEigenvalue[i]`.
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template<typename T, qualifier Q>
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GLM_INLINE void sortEigenvalues(vec<2, T, Q>& eigenvalues, mat<2, 2, T, Q>& eigenvectors);
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GLM_FUNC_DECL void sortEigenvalues(vec<2, T, Q>& eigenvalues, mat<2, 2, T, Q>& eigenvectors);
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/// Sorts a group of Eigenvalues&Eigenvectors, for largest Eigenvalue to smallest Eigenvalue.
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/// The data in `outEigenvalues` and `outEigenvectors` are assumed to be matching order, i.e. `outEigenvector[i]` is the Eigenvector of the Eigenvalue `outEigenvalue[i]`.
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template<typename T, qualifier Q>
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GLM_INLINE void sortEigenvalues(vec<3, T, Q>& eigenvalues, mat<3, 3, T, Q>& eigenvectors);
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GLM_FUNC_DECL void sortEigenvalues(vec<3, T, Q>& eigenvalues, mat<3, 3, T, Q>& eigenvectors);
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/// Sorts a group of Eigenvalues&Eigenvectors, for largest Eigenvalue to smallest Eigenvalue.
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/// The data in `outEigenvalues` and `outEigenvectors` are assumed to be matching order, i.e. `outEigenvector[i]` is the Eigenvector of the Eigenvalue `outEigenvalue[i]`.
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template<typename T, qualifier Q>
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GLM_INLINE void sortEigenvalues(vec<4, T, Q>& eigenvalues, mat<4, 4, T, Q>& eigenvectors);
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GLM_FUNC_DECL void sortEigenvalues(vec<4, T, Q>& eigenvalues, mat<4, 4, T, Q>& eigenvectors);
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/// @}
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}//namespace glm
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@ -10,21 +10,21 @@ namespace glm {
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template<length_t D, typename T, qualifier Q>
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GLM_INLINE mat<D, D, T, Q> computeCovarianceMatrix(vec<D, T, Q> const* v, size_t n)
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GLM_FUNC_QUALIFIER mat<D, D, T, Q> computeCovarianceMatrix(vec<D, T, Q> const* v, size_t n)
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{
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return computeCovarianceMatrix<D, T, Q, vec<D, T, Q> const*>(v, v + n);
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}
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template<length_t D, typename T, qualifier Q>
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GLM_INLINE mat<D, D, T, Q> computeCovarianceMatrix(vec<D, T, Q> const* v, size_t n, vec<D, T, Q> const& c)
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GLM_FUNC_QUALIFIER mat<D, D, T, Q> computeCovarianceMatrix(vec<D, T, Q> const* v, size_t n, vec<D, T, Q> const& c)
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{
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return computeCovarianceMatrix<D, T, Q, vec<D, T, Q> const*>(v, v + n, c);
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}
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template<length_t D, typename T, qualifier Q, typename I>
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GLM_FUNC_DECL mat<D, D, T, Q> computeCovarianceMatrix(I const& b, I const& e)
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GLM_FUNC_QUALIFIER mat<D, D, T, Q> computeCovarianceMatrix(I const& b, I const& e)
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{
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glm::mat<D, D, T, Q> m(0);
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@ -45,7 +45,7 @@ namespace glm {
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template<length_t D, typename T, qualifier Q, typename I>
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GLM_FUNC_DECL mat<D, D, T, Q> computeCovarianceMatrix(I const& b, I const& e, vec<D, T, Q> const& c)
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GLM_FUNC_QUALIFIER mat<D, D, T, Q> computeCovarianceMatrix(I const& b, I const& e, vec<D, T, Q> const& c)
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{
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glm::mat<D, D, T, Q> m(0);
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glm::vec<D, T, Q> v;
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@ -69,13 +69,13 @@ namespace glm {
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{
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template<typename T>
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GLM_INLINE T transferSign(T const& v, T const& s)
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GLM_FUNC_QUALIFIER static T transferSign(T const& v, T const& s)
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{
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return ((s) >= 0 ? glm::abs(v) : -glm::abs(v));
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}
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template<typename T>
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GLM_INLINE T pythag(T const& a, T const& b) {
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GLM_FUNC_QUALIFIER static T pythag(T const& a, T const& b) {
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static const T epsilon = static_cast<T>(0.0000001);
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T absa = glm::abs(a);
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T absb = glm::abs(b);
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@ -93,7 +93,7 @@ namespace glm {
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}
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template<length_t D, typename T, qualifier Q>
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GLM_FUNC_DECL unsigned int findEigenvaluesSymReal
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GLM_FUNC_QUALIFIER unsigned int findEigenvaluesSymReal
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(
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mat<D, D, T, Q> const& covarMat,
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vec<D, T, Q>& outEigenvalues,
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@ -281,7 +281,7 @@ namespace glm {
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}
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template<typename T, qualifier Q>
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GLM_INLINE void sortEigenvalues(vec<2, T, Q>& eigenvalues, mat<2, 2, T, Q>& eigenvectors)
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GLM_FUNC_QUALIFIER void sortEigenvalues(vec<2, T, Q>& eigenvalues, mat<2, 2, T, Q>& eigenvectors)
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{
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if (eigenvalues[0] < eigenvalues[1])
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{
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@ -291,7 +291,7 @@ namespace glm {
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}
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template<typename T, qualifier Q>
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GLM_INLINE void sortEigenvalues(vec<3, T, Q>& eigenvalues, mat<3, 3, T, Q>& eigenvectors)
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GLM_FUNC_QUALIFIER void sortEigenvalues(vec<3, T, Q>& eigenvalues, mat<3, 3, T, Q>& eigenvectors)
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{
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if (eigenvalues[0] < eigenvalues[1])
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{
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@ -311,7 +311,7 @@ namespace glm {
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}
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template<typename T, qualifier Q>
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GLM_INLINE void sortEigenvalues(vec<4, T, Q>& eigenvalues, mat<4, 4, T, Q>& eigenvectors)
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GLM_FUNC_QUALIFIER void sortEigenvalues(vec<4, T, Q>& eigenvalues, mat<4, 4, T, Q>& eigenvectors)
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{
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if (eigenvalues[0] < eigenvalues[2])
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{
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@ -110,28 +110,28 @@ namespace glm
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///
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/// @see gtx_quaternion
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template<typename T, qualifier Q>
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GLM_FUNC_DECL mat<3, 3, T, Q> toMat3(
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GLM_FUNC_QUALIFIER mat<3, 3, T, Q> toMat3(
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qua<T, Q> const& x){return mat3_cast(x);}
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/// Converts a quaternion to a 4 * 4 matrix.
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///
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/// @see gtx_quaternion
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template<typename T, qualifier Q>
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GLM_FUNC_DECL mat<4, 4, T, Q> toMat4(
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GLM_FUNC_QUALIFIER mat<4, 4, T, Q> toMat4(
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qua<T, Q> const& x){return mat4_cast(x);}
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/// Converts a 3 * 3 matrix to a quaternion.
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///
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/// @see gtx_quaternion
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template<typename T, qualifier Q>
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GLM_FUNC_DECL qua<T, Q> toQuat(
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GLM_FUNC_QUALIFIER qua<T, Q> toQuat(
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mat<3, 3, T, Q> const& x){return quat_cast(x);}
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/// Converts a 4 * 4 matrix to a quaternion.
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///
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/// @see gtx_quaternion
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template<typename T, qualifier Q>
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GLM_FUNC_DECL qua<T, Q> toQuat(
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GLM_FUNC_QUALIFIER qua<T, Q> toQuat(
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mat<4, 4, T, Q> const& x){return quat_cast(x);}
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/// Quaternion interpolation using the rotation short path.
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