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Added spherical and circular rand implementations
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@ -66,10 +66,10 @@ namespace glm
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/// Generate random numbers in the interval [Min, Max], according a gaussian distribution
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/// (From GLM_GTX_random extension)
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template <typename T, template <typename> class vecType>
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vecType<T> gaussRand(
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vecType<T> const & Mean,
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vecType<T> const & Deviation);
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template <typename genType>
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genType gaussRand(
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genType const & Mean,
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genType const & Deviation);
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/// Generate a random 2D vector which coordinates are regulary distributed on a circle of a given radius
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/// (From GLM_GTX_random extension)
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@ -81,4 +81,39 @@ GLM_FUNC_QUALIFIER detail::tvec4<T> linearRand
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linearRand(Min.w, Max.w));
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}
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template <>
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half gaussRand
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(
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half const & Mean,
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half const & Deviation
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)
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{
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template <typename T>
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detail::tvec2<T> circularRand
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(
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T const & Radius
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)
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{
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T a = compRand1<T>(T(0), T(6.283185307179586476925286766559f));
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return detail::tvec2<T>(cos(a), sin(a)) * Radius;
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}
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template <typename T>
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detail::tvec3<T> sphericalRand
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(
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T const & Radius
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)
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{
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T z = compRand1(T(-1), T(1));
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T a = compRand1(T(0), T(6.283185307179586476925286766559f));
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T r = sqrt(T(1) - z * z);
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T x = r * cos(a);
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T y = r * sin(a);
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return detail::tvec3<T>(x, y, z) * Radius;
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}
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}//namespace glm
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@ -12,7 +12,7 @@
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#include <glm/gtx/epsilon.hpp>
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#include <iostream>
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int test_signedRand1()
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int test_linearRand()
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{
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int Error = 0;
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@ -93,7 +93,7 @@ int main()
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{
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int Error = 0;
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Error += test_signedRand1();
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Error += test_linearRand();
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Error += test_normalizedRand2();
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Error += test_normalizedRand3();
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