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| author | untodesu <kirill@untode.su> | 2025-03-15 16:22:09 +0500 |
|---|---|---|
| committer | untodesu <kirill@untode.su> | 2025-03-15 16:22:09 +0500 |
| commit | 3bf42c6ff3805a0d42bbc661794a95ff31bedc26 (patch) | |
| tree | 05049955847504808d6bed2bb7b155f8b03807bb /deps/include/glm/gtx/matrix_query.inl | |
| parent | 02294547dcde0d4ad76e229106702261e9f10a51 (diff) | |
| download | voxelius-3bf42c6ff3805a0d42bbc661794a95ff31bedc26.tar.bz2 voxelius-3bf42c6ff3805a0d42bbc661794a95ff31bedc26.zip | |
Add whatever I was working on for the last month
Diffstat (limited to 'deps/include/glm/gtx/matrix_query.inl')
| -rw-r--r-- | deps/include/glm/gtx/matrix_query.inl | 119 |
1 files changed, 119 insertions, 0 deletions
diff --git a/deps/include/glm/gtx/matrix_query.inl b/deps/include/glm/gtx/matrix_query.inl new file mode 100644 index 0000000..dc3ec84 --- /dev/null +++ b/deps/include/glm/gtx/matrix_query.inl @@ -0,0 +1,119 @@ +/// @ref gtx_matrix_query + +namespace glm +{ + template<typename T, qualifier Q> + GLM_FUNC_QUALIFIER bool isNull(mat<2, 2, T, Q> const& m, T const& epsilon) + { + bool result = true; + for(length_t i = 0; result && i < m.length() ; ++i) + result = isNull(m[i], epsilon); + return result; + } + + template<typename T, qualifier Q> + GLM_FUNC_QUALIFIER bool isNull(mat<3, 3, T, Q> const& m, T const& epsilon) + { + bool result = true; + for(length_t i = 0; result && i < m.length() ; ++i) + result = isNull(m[i], epsilon); + return result; + } + + template<typename T, qualifier Q> + GLM_FUNC_QUALIFIER bool isNull(mat<4, 4, T, Q> const& m, T const& epsilon) + { + bool result = true; + for(length_t i = 0; result && i < m.length() ; ++i) + result = isNull(m[i], epsilon); + return result; + } + + template<length_t C, length_t R, typename T, qualifier Q> + GLM_FUNC_QUALIFIER bool isIdentity(mat<C, R, T, Q> const& m, T const& epsilon) + { + bool result = true; + for(length_t i = 0; result && i < m.length(); ++i) + { + for(length_t j = 0; result && j < glm::min(i, m[0].length()); ++j) + result = abs(m[i][j]) <= epsilon; + if(result && i < m[0].length()) + result = abs(m[i][i] - 1) <= epsilon; + for(length_t j = i + 1; result && j < m[0].length(); ++j) + result = abs(m[i][j]) <= epsilon; + } + return result; + } + + template<typename T, qualifier Q> + GLM_FUNC_QUALIFIER bool isNormalized(mat<2, 2, T, Q> const& m, T const& epsilon) + { + bool result(true); + for(length_t i = 0; result && i < m.length(); ++i) + result = isNormalized(m[i], epsilon); + for(length_t i = 0; result && i < m.length(); ++i) + { + typename mat<2, 2, T, Q>::col_type v; + for(length_t j = 0; j < m.length(); ++j) + v[j] = m[j][i]; + result = isNormalized(v, epsilon); + } + return result; + } + + template<typename T, qualifier Q> + GLM_FUNC_QUALIFIER bool isNormalized(mat<3, 3, T, Q> const& m, T const& epsilon) + { + bool result(true); + for(length_t i = 0; result && i < m.length(); ++i) + result = isNormalized(m[i], epsilon); + for(length_t i = 0; result && i < m.length(); ++i) + { + typename mat<3, 3, T, Q>::col_type v; + for(length_t j = 0; j < m.length(); ++j) + v[j] = m[j][i]; + result = isNormalized(v, epsilon); + } + return result; + } + + template<typename T, qualifier Q> + GLM_FUNC_QUALIFIER bool isNormalized(mat<4, 4, T, Q> const& m, T const& epsilon) + { + bool result(true); + for(length_t i = 0; result && i < m.length(); ++i) + result = isNormalized(m[i], epsilon); + for(length_t i = 0; result && i < m.length(); ++i) + { + typename mat<4, 4, T, Q>::col_type v; + for(length_t j = 0; j < m.length(); ++j) + v[j] = m[j][i]; + result = isNormalized(v, epsilon); + } + return result; + } + + template<length_t C, length_t R, typename T, qualifier Q> + GLM_FUNC_QUALIFIER bool isOrthogonal(mat<C, R, T, Q> const& m, T const& epsilon) + { + bool result = true; + for(length_t i(0); result && i < m.length(); ++i) + { + result = isNormalized(m[i], epsilon); + for(length_t j(i + 1); result && j < m.length(); ++j) + result = abs(dot(m[i], m[j])) <= epsilon; + } + + if(result) + { + mat<C, R, T, Q> tmp = transpose(m); + for(length_t i(0); result && i < m.length(); ++i) + { + result = isNormalized(tmp[i], epsilon); + for(length_t j(i + 1); result && j < m.length(); ++j) + result = abs(dot(tmp[i], tmp[j])) <= epsilon; + } + } + return result; + } +}//namespace glm |
