Rebuild trinity visualizer from bare SDL and OpenGL to using Raylib. Added Code for serial parsing on linux. Current functionality reads incoming quaternion packet data coming in over serial and displays the values and also visualizes with a cube, connect and disconnect is implemented. Essentially rebuild the functionality of the old version with added linux support.
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/// @ref core
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/// @file glm/detail/func_exponential.inl
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#include "../vector_relational.hpp"
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#include "_vectorize.hpp"
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#include <limits>
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#include <cmath>
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#include <cassert>
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namespace glm{
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namespace detail
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{
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# if GLM_HAS_CXX11_STL
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using std::log2;
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# else
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template<typename genType>
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GLM_FUNC_QUALIFIER genType log2(genType Value)
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{
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return std::log(Value) * static_cast<genType>(1.4426950408889634073599246810019);
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}
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# endif
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template<length_t L, typename T, qualifier Q, bool isFloat, bool Aligned>
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struct compute_log2
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{
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GLM_FUNC_QUALIFIER static vec<L, T, Q> call(vec<L, T, Q> const& v)
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{
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GLM_STATIC_ASSERT(std::numeric_limits<T>::is_iec559 || GLM_CONFIG_UNRESTRICTED_FLOAT, "'log2' only accept floating-point inputs. Include <glm/gtc/integer.hpp> for integer inputs.");
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return detail::functor1<vec, L, T, T, Q>::call(log2, v);
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}
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};
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template<length_t L, typename T, qualifier Q, bool Aligned>
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struct compute_sqrt
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{
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GLM_FUNC_QUALIFIER static vec<L, T, Q> call(vec<L, T, Q> const& x)
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{
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return detail::functor1<vec, L, T, T, Q>::call(std::sqrt, x);
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}
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};
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template<length_t L, typename T, qualifier Q, bool Aligned>
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struct compute_inversesqrt
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{
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GLM_FUNC_QUALIFIER static vec<L, T, Q> call(vec<L, T, Q> const& x)
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{
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return static_cast<T>(1) / sqrt(x);
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}
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};
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template<length_t L, bool Aligned>
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struct compute_inversesqrt<L, float, lowp, Aligned>
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{
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GLM_FUNC_QUALIFIER static vec<L, float, lowp> call(vec<L, float, lowp> const& x)
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{
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vec<L, float, lowp> tmp(x);
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vec<L, float, lowp> xhalf(tmp * 0.5f);
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vec<L, uint, lowp>* p = reinterpret_cast<vec<L, uint, lowp>*>(const_cast<vec<L, float, lowp>*>(&x));
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vec<L, uint, lowp> i = vec<L, uint, lowp>(0x5f375a86) - (*p >> vec<L, uint, lowp>(1));
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vec<L, float, lowp>* ptmp = reinterpret_cast<vec<L, float, lowp>*>(&i);
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tmp = *ptmp;
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tmp = tmp * (1.5f - xhalf * tmp * tmp);
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return tmp;
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}
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};
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}//namespace detail
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// pow
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using std::pow;
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template<length_t L, typename T, qualifier Q>
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GLM_FUNC_QUALIFIER vec<L, T, Q> pow(vec<L, T, Q> const& base, vec<L, T, Q> const& exponent)
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{
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return detail::functor2<vec, L, T, Q>::call(pow, base, exponent);
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}
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// exp
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using std::exp;
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template<length_t L, typename T, qualifier Q>
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GLM_FUNC_QUALIFIER vec<L, T, Q> exp(vec<L, T, Q> const& x)
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{
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return detail::functor1<vec, L, T, T, Q>::call(exp, x);
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}
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// log
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using std::log;
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template<length_t L, typename T, qualifier Q>
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GLM_FUNC_QUALIFIER vec<L, T, Q> log(vec<L, T, Q> const& x)
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{
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return detail::functor1<vec, L, T, T, Q>::call(log, x);
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}
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# if GLM_HAS_CXX11_STL
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using std::exp2;
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# else
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//exp2, ln2 = 0.69314718055994530941723212145818f
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template<typename genType>
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GLM_FUNC_QUALIFIER genType exp2(genType x)
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{
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GLM_STATIC_ASSERT(std::numeric_limits<genType>::is_iec559 || GLM_CONFIG_UNRESTRICTED_FLOAT, "'exp2' only accept floating-point inputs");
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return std::exp(static_cast<genType>(0.69314718055994530941723212145818) * x);
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}
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# endif
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template<length_t L, typename T, qualifier Q>
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GLM_FUNC_QUALIFIER vec<L, T, Q> exp2(vec<L, T, Q> const& x)
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{
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return detail::functor1<vec, L, T, T, Q>::call(exp2, x);
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}
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// log2, ln2 = 0.69314718055994530941723212145818f
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template<typename genType>
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GLM_FUNC_QUALIFIER genType log2(genType x)
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{
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return log2(vec<1, genType>(x)).x;
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}
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template<length_t L, typename T, qualifier Q>
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GLM_FUNC_QUALIFIER vec<L, T, Q> log2(vec<L, T, Q> const& x)
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{
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return detail::compute_log2<L, T, Q, std::numeric_limits<T>::is_iec559, detail::is_aligned<Q>::value>::call(x);
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}
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// sqrt
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using std::sqrt;
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template<length_t L, typename T, qualifier Q>
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GLM_FUNC_QUALIFIER vec<L, T, Q> sqrt(vec<L, T, Q> const& x)
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{
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GLM_STATIC_ASSERT(std::numeric_limits<T>::is_iec559 || GLM_CONFIG_UNRESTRICTED_FLOAT, "'sqrt' only accept floating-point inputs");
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return detail::compute_sqrt<L, T, Q, detail::is_aligned<Q>::value>::call(x);
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}
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// inversesqrt
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template<typename genType>
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GLM_FUNC_QUALIFIER genType inversesqrt(genType x)
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{
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return static_cast<genType>(1) / sqrt(x);
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}
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template<length_t L, typename T, qualifier Q>
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GLM_FUNC_QUALIFIER vec<L, T, Q> inversesqrt(vec<L, T, Q> const& x)
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{
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GLM_STATIC_ASSERT(std::numeric_limits<T>::is_iec559 || GLM_CONFIG_UNRESTRICTED_FLOAT, "'inversesqrt' only accept floating-point inputs");
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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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}//namespace glm
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#if GLM_CONFIG_SIMD == GLM_ENABLE
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# include "func_exponential_simd.inl"
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#endif
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