boost/math/concepts/distributions.hpp
// Copyright John Maddock 2006. // Use, modification and distribution are subject to the // Boost Software License, Version 1.0. (See accompanying file // LICENSE_1_0.txt or copy at http://www.boost.org/LICENSE_1_0.txt) // distributions.hpp provides definitions of the concept of a distribution // and non-member accessor functions that must be implemented by all distributions. // This is used to verify that // all the features of a distributions have been fully implemented. #ifndef BOOST_MATH_DISTRIBUTION_CONCEPT_HPP #define BOOST_MATH_DISTRIBUTION_CONCEPT_HPP #include <boost/math/distributions/complement.hpp> #ifdef BOOST_MSVC #pragma warning(push) #pragma warning(disable: 4100) #pragma warning(disable: 4510) #pragma warning(disable: 4610) #endif #include <boost/concept_check.hpp> #ifdef BOOST_MSVC #pragma warning(pop) #endif #include <utility> namespace boost{ namespace math{ namespace concepts { // Begin by defining a concept archetype // for a distribution class: // template <class RealType> class distribution_archetype { public: typedef RealType value_type; distribution_archetype(const distribution_archetype&); // Copy constructible. distribution_archetype& operator=(const distribution_archetype&); // Assignable. // There is no default constructor, // but we need a way to instantiate the archetype: static distribution_archetype& get_object() { // will never get caled: return *reinterpret_cast<distribution_archetype*>(0); } }; // template <class RealType>class distribution_archetype // Non-member accessor functions: // (This list defines the functions that must be implemented by all distributions). template <class RealType> RealType pdf(const distribution_archetype<RealType>& dist, const RealType& x); template <class RealType> RealType cdf(const distribution_archetype<RealType>& dist, const RealType& x); template <class RealType> RealType quantile(const distribution_archetype<RealType>& dist, const RealType& p); template <class RealType> RealType cdf(const complemented2_type<distribution_archetype<RealType>, RealType>& c); template <class RealType> RealType quantile(const complemented2_type<distribution_archetype<RealType>, RealType>& c); template <class RealType> RealType mean(const distribution_archetype<RealType>& dist); template <class RealType> RealType standard_deviation(const distribution_archetype<RealType>& dist); template <class RealType> RealType variance(const distribution_archetype<RealType>& dist); template <class RealType> RealType hazard(const distribution_archetype<RealType>& dist); template <class RealType> RealType chf(const distribution_archetype<RealType>& dist); // http://en.wikipedia.org/wiki/Characteristic_function_%28probability_theory%29 template <class RealType> RealType coefficient_of_variation(const distribution_archetype<RealType>& dist); template <class RealType> RealType mode(const distribution_archetype<RealType>& dist); template <class RealType> RealType skewness(const distribution_archetype<RealType>& dist); template <class RealType> RealType kurtosis_excess(const distribution_archetype<RealType>& dist); template <class RealType> RealType kurtosis(const distribution_archetype<RealType>& dist); template <class RealType> RealType median(const distribution_archetype<RealType>& dist); template <class RealType> std::pair<RealType, RealType> range(const distribution_archetype<RealType>& dist); template <class RealType> std::pair<RealType, RealType> support(const distribution_archetype<RealType>& dist); // // Next comes the concept checks for verifying that a class // fullfils the requirements of a Distribution: // template <class Distribution> struct DistributionConcept { void constraints() { function_requires<CopyConstructibleConcept<Distribution> >(); function_requires<AssignableConcept<Distribution> >(); typedef typename Distribution::value_type value_type; const Distribution& dist = DistributionConcept<Distribution>::get_object(); value_type x = 0; // The result values are ignored in all these checks. value_type v = cdf(dist, x); v = cdf(complement(dist, x)); v = pdf(dist, x); v = quantile(dist, x); v = quantile(complement(dist, x)); v = mean(dist); v = mode(dist); v = standard_deviation(dist); v = variance(dist); v = hazard(dist, x); v = chf(dist, x); v = coefficient_of_variation(dist); v = skewness(dist); v = kurtosis(dist); v = kurtosis_excess(dist); v = median(dist); std::pair<value_type, value_type> pv; pv = range(dist); pv = support(dist); float f = 1; v = cdf(dist, f); v = cdf(complement(dist, f)); v = pdf(dist, f); v = quantile(dist, f); v = quantile(complement(dist, f)); v = hazard(dist, f); v = chf(dist, f); double d = 1; v = cdf(dist, d); v = cdf(complement(dist, d)); v = pdf(dist, d); v = quantile(dist, d); v = quantile(complement(dist, d)); v = hazard(dist, d); v = chf(dist, d); long double ld = 1; v = cdf(dist, ld); v = cdf(complement(dist, ld)); v = pdf(dist, ld); v = quantile(dist, ld); v = quantile(complement(dist, ld)); v = hazard(dist, ld); v = chf(dist, ld); int i = 1; v = cdf(dist, i); v = cdf(complement(dist, i)); v = pdf(dist, i); v = quantile(dist, i); v = quantile(complement(dist, i)); v = hazard(dist, i); v = chf(dist, i); unsigned long li = 1; v = cdf(dist, li); v = cdf(complement(dist, li)); v = pdf(dist, li); v = quantile(dist, li); v = quantile(complement(dist, li)); v = hazard(dist, li); v = chf(dist, li); } private: static Distribution& get_object() { // will never get called: static char buf[sizeof(Distribution)]; return * reinterpret_cast<Distribution*>(buf); } }; // struct DistributionConcept } // namespace concepts } // namespace math } // namespace boost #endif // BOOST_MATH_DISTRIBUTION_CONCEPT_HPP