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fix: declarations

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This commit is contained in:
Gottfried Leibniz 2023-01-09 17:48:57 -04:00
parent fc8f4bb442
commit 36aa3e75b2
3 changed files with 17 additions and 17 deletions
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6
glm/gtx/pca.hpp
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@ -97,17 +97,17 @@ namespace glm {
/// Sorts a group of Eigenvalues&Eigenvectors, for largest Eigenvalue to smallest Eigenvalue. /// Sorts a group of Eigenvalues&Eigenvectors, for largest Eigenvalue to smallest Eigenvalue.
/// The data in `outEigenvalues` and `outEigenvectors` are assumed to be matching order, i.e. `outEigenvector[i]` is the Eigenvector of the Eigenvalue `outEigenvalue[i]`. /// The data in `outEigenvalues` and `outEigenvectors` are assumed to be matching order, i.e. `outEigenvector[i]` is the Eigenvector of the Eigenvalue `outEigenvalue[i]`.
template<typename T, qualifier Q> template<typename T, qualifier Q>
GLM_INLINE void sortEigenvalues(vec<2, T, Q>& eigenvalues, mat<2, 2, T, Q>& eigenvectors); GLM_FUNC_DECL void sortEigenvalues(vec<2, T, Q>& eigenvalues, mat<2, 2, T, Q>& eigenvectors);
/// Sorts a group of Eigenvalues&Eigenvectors, for largest Eigenvalue to smallest Eigenvalue. /// Sorts a group of Eigenvalues&Eigenvectors, for largest Eigenvalue to smallest Eigenvalue.
/// The data in `outEigenvalues` and `outEigenvectors` are assumed to be matching order, i.e. `outEigenvector[i]` is the Eigenvector of the Eigenvalue `outEigenvalue[i]`. /// The data in `outEigenvalues` and `outEigenvectors` are assumed to be matching order, i.e. `outEigenvector[i]` is the Eigenvector of the Eigenvalue `outEigenvalue[i]`.
template<typename T, qualifier Q> template<typename T, qualifier Q>
GLM_INLINE void sortEigenvalues(vec<3, T, Q>& eigenvalues, mat<3, 3, T, Q>& eigenvectors); GLM_FUNC_DECL void sortEigenvalues(vec<3, T, Q>& eigenvalues, mat<3, 3, T, Q>& eigenvectors);
/// Sorts a group of Eigenvalues&Eigenvectors, for largest Eigenvalue to smallest Eigenvalue. /// Sorts a group of Eigenvalues&Eigenvectors, for largest Eigenvalue to smallest Eigenvalue.
/// The data in `outEigenvalues` and `outEigenvectors` are assumed to be matching order, i.e. `outEigenvector[i]` is the Eigenvector of the Eigenvalue `outEigenvalue[i]`. /// The data in `outEigenvalues` and `outEigenvectors` are assumed to be matching order, i.e. `outEigenvector[i]` is the Eigenvector of the Eigenvalue `outEigenvalue[i]`.
template<typename T, qualifier Q> template<typename T, qualifier Q>
GLM_INLINE void sortEigenvalues(vec<4, T, Q>& eigenvalues, mat<4, 4, T, Q>& eigenvectors); GLM_FUNC_DECL void sortEigenvalues(vec<4, T, Q>& eigenvalues, mat<4, 4, T, Q>& eigenvectors);
/// @} /// @}
}//namespace glm }//namespace glm

20
glm/gtx/pca.inl
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@ -10,21 +10,21 @@ namespace glm {
template<length_t D, typename T, qualifier Q> template<length_t D, typename T, qualifier Q>
GLM_INLINE mat<D, D, T, Q> computeCovarianceMatrix(vec<D, T, Q> const* v, size_t n) GLM_FUNC_QUALIFIER mat<D, D, T, Q> computeCovarianceMatrix(vec<D, T, Q> const* v, size_t n)
{ {
return computeCovarianceMatrix<D, T, Q, vec<D, T, Q> const*>(v, v + n); return computeCovarianceMatrix<D, T, Q, vec<D, T, Q> const*>(v, v + n);
} }
template<length_t D, typename T, qualifier Q> template<length_t D, typename T, qualifier Q>
GLM_INLINE mat<D, D, T, Q> computeCovarianceMatrix(vec<D, T, Q> const* v, size_t n, vec<D, T, Q> const& c) GLM_FUNC_QUALIFIER mat<D, D, T, Q> computeCovarianceMatrix(vec<D, T, Q> const* v, size_t n, vec<D, T, Q> const& c)
{ {
return computeCovarianceMatrix<D, T, Q, vec<D, T, Q> const*>(v, v + n, c); return computeCovarianceMatrix<D, T, Q, vec<D, T, Q> const*>(v, v + n, c);
} }
template<length_t D, typename T, qualifier Q, typename I> template<length_t D, typename T, qualifier Q, typename I>
GLM_FUNC_DECL mat<D, D, T, Q> computeCovarianceMatrix(I const& b, I const& e) GLM_FUNC_QUALIFIER mat<D, D, T, Q> computeCovarianceMatrix(I const& b, I const& e)
{ {
glm::mat<D, D, T, Q> m(0); glm::mat<D, D, T, Q> m(0);
@ -45,7 +45,7 @@ namespace glm {
template<length_t D, typename T, qualifier Q, typename I> template<length_t D, typename T, qualifier Q, typename I>
GLM_FUNC_DECL mat<D, D, T, Q> computeCovarianceMatrix(I const& b, I const& e, vec<D, T, Q> const& c) GLM_FUNC_QUALIFIER mat<D, D, T, Q> computeCovarianceMatrix(I const& b, I const& e, vec<D, T, Q> const& c)
{ {
glm::mat<D, D, T, Q> m(0); glm::mat<D, D, T, Q> m(0);
glm::vec<D, T, Q> v; glm::vec<D, T, Q> v;
@ -69,13 +69,13 @@ namespace glm {
{ {
template<typename T> template<typename T>
GLM_INLINE T transferSign(T const& v, T const& s) GLM_FUNC_QUALIFIER static T transferSign(T const& v, T const& s)
{ {
return ((s) >= 0 ? glm::abs(v) : -glm::abs(v)); return ((s) >= 0 ? glm::abs(v) : -glm::abs(v));
} }
template<typename T> template<typename T>
GLM_INLINE T pythag(T const& a, T const& b) { GLM_FUNC_QUALIFIER static T pythag(T const& a, T const& b) {
static const T epsilon = static_cast<T>(0.0000001); static const T epsilon = static_cast<T>(0.0000001);
T absa = glm::abs(a); T absa = glm::abs(a);
T absb = glm::abs(b); T absb = glm::abs(b);
@ -93,7 +93,7 @@ namespace glm {
} }
template<length_t D, typename T, qualifier Q> template<length_t D, typename T, qualifier Q>
GLM_FUNC_DECL unsigned int findEigenvaluesSymReal GLM_FUNC_QUALIFIER unsigned int findEigenvaluesSymReal
( (
mat<D, D, T, Q> const& covarMat, mat<D, D, T, Q> const& covarMat,
vec<D, T, Q>& outEigenvalues, vec<D, T, Q>& outEigenvalues,
@ -281,7 +281,7 @@ namespace glm {
} }
template<typename T, qualifier Q> template<typename T, qualifier Q>
GLM_INLINE void sortEigenvalues(vec<2, T, Q>& eigenvalues, mat<2, 2, T, Q>& eigenvectors) GLM_FUNC_QUALIFIER void sortEigenvalues(vec<2, T, Q>& eigenvalues, mat<2, 2, T, Q>& eigenvectors)
{ {
if (eigenvalues[0] < eigenvalues[1]) if (eigenvalues[0] < eigenvalues[1])
{ {
@ -291,7 +291,7 @@ namespace glm {
} }
template<typename T, qualifier Q> template<typename T, qualifier Q>
GLM_INLINE void sortEigenvalues(vec<3, T, Q>& eigenvalues, mat<3, 3, T, Q>& eigenvectors) GLM_FUNC_QUALIFIER void sortEigenvalues(vec<3, T, Q>& eigenvalues, mat<3, 3, T, Q>& eigenvectors)
{ {
if (eigenvalues[0] < eigenvalues[1]) if (eigenvalues[0] < eigenvalues[1])
{ {
@ -311,7 +311,7 @@ namespace glm {
} }
template<typename T, qualifier Q> template<typename T, qualifier Q>
GLM_INLINE void sortEigenvalues(vec<4, T, Q>& eigenvalues, mat<4, 4, T, Q>& eigenvectors) GLM_FUNC_QUALIFIER void sortEigenvalues(vec<4, T, Q>& eigenvalues, mat<4, 4, T, Q>& eigenvectors)
{ {
if (eigenvalues[0] < eigenvalues[2]) if (eigenvalues[0] < eigenvalues[2])
{ {

8
glm/gtx/quaternion.hpp
View File

@ -110,28 +110,28 @@ namespace glm
/// ///
/// @see gtx_quaternion /// @see gtx_quaternion
template<typename T, qualifier Q> template<typename T, qualifier Q>
GLM_FUNC_DECL mat<3, 3, T, Q> toMat3( GLM_FUNC_QUALIFIER mat<3, 3, T, Q> toMat3(
qua<T, Q> const& x){return mat3_cast(x);} qua<T, Q> const& x){return mat3_cast(x);}
/// Converts a quaternion to a 4 * 4 matrix. /// Converts a quaternion to a 4 * 4 matrix.
/// ///
/// @see gtx_quaternion /// @see gtx_quaternion
template<typename T, qualifier Q> template<typename T, qualifier Q>
GLM_FUNC_DECL mat<4, 4, T, Q> toMat4( GLM_FUNC_QUALIFIER mat<4, 4, T, Q> toMat4(
qua<T, Q> const& x){return mat4_cast(x);} qua<T, Q> const& x){return mat4_cast(x);}
/// Converts a 3 * 3 matrix to a quaternion. /// Converts a 3 * 3 matrix to a quaternion.
/// ///
/// @see gtx_quaternion /// @see gtx_quaternion
template<typename T, qualifier Q> template<typename T, qualifier Q>
GLM_FUNC_DECL qua<T, Q> toQuat( GLM_FUNC_QUALIFIER qua<T, Q> toQuat(
mat<3, 3, T, Q> const& x){return quat_cast(x);} mat<3, 3, T, Q> const& x){return quat_cast(x);}
/// Converts a 4 * 4 matrix to a quaternion. /// Converts a 4 * 4 matrix to a quaternion.
/// ///
/// @see gtx_quaternion /// @see gtx_quaternion
template<typename T, qualifier Q> template<typename T, qualifier Q>
GLM_FUNC_DECL qua<T, Q> toQuat( GLM_FUNC_QUALIFIER qua<T, Q> toQuat(
mat<4, 4, T, Q> const& x){return quat_cast(x);} mat<4, 4, T, Q> const& x){return quat_cast(x);}
/// Quaternion interpolation using the rotation short path. /// Quaternion interpolation using the rotation short path.