// The MIT License (MIT) // // Copyright (c) 2018 Mateusz Pusz // // Permission is hereby granted, free of charge, to any person obtaining a copy // of this software and associated documentation files (the "Software"), to deal // in the Software without restriction, including without limitation the rights // to use, copy, modify, merge, publish, distribute, sublicense, and/or sell // copies of the Software, and to permit persons to whom the Software is // furnished to do so, subject to the following conditions: // // The above copyright notice and this permission notice shall be included in all // copies or substantial portions of the Software. // // THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR // IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, // FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE // AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER // LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, // OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE // SOFTWARE. #pragma once #include #include #include namespace mp_units { namespace detail { template static std::vector i_qty_to_rep(InputIt first, InputIt last) { std::vector intervals_rep; intervals_rep.reserve(static_cast(std::distance(first, last))); for (auto itr = first; itr != last; ++itr) { intervals_rep.push_back(itr->number()); } return intervals_rep; } template static std::vector bl_qty_to_rep(std::initializer_list& bl) { std::vector bl_rep; bl_rep.reserve(bl.size()); for (const Q& qty : bl) { bl_rep.push_back(qty.number()); } return bl_rep; } template inline static std::vector fw_bl_pwc(std::initializer_list& bl, UnaryOperation fw) { using rep = TYPENAME Q::rep; std::vector w_bl; w_bl.reserve(bl.size()); for (const Q& qty : bl) { w_bl.push_back(fw(qty)); } std::vector weights; weights.reserve(bl.size()); for (size_t i = 0; i < bl.size() - 1; ++i) { weights.push_back(w_bl[i] + w_bl[i + 1]); } weights.push_back(0); return weights; } template static std::vector fw_bl_pwl(std::initializer_list& bl, UnaryOperation fw) { std::vector weights; weights.reserve(bl.size()); for (const Q& qty : bl) { weights.push_back(fw(qty)); } return weights; } } // namespace detail template requires std::integral struct uniform_int_distribution : public std::uniform_int_distribution { using rep = TYPENAME Q::rep; using base = TYPENAME std::uniform_int_distribution; uniform_int_distribution() : base() {} uniform_int_distribution(const Q& a, const Q& b) : base(a.number(), b.number()) {} template Q operator()(Generator& g) { return base::operator()(g) * Q::reference; } Q a() const { return base::a() * Q::reference; } Q b() const { return base::b() * Q::reference; } Q min() const { return base::min() * Q::reference; } Q max() const { return base::max() * Q::reference; } }; template requires std::floating_point struct uniform_real_distribution : public std::uniform_real_distribution { using rep = TYPENAME Q::rep; using base = TYPENAME std::uniform_real_distribution; uniform_real_distribution() : base() {} uniform_real_distribution(const Q& a, const Q& b) : base(a.number(), b.number()) {} template Q operator()(Generator& g) { return base::operator()(g) * Q::reference; } Q a() const { return base::a() * Q::reference; } Q b() const { return base::b() * Q::reference; } Q min() const { return base::min() * Q::reference; } Q max() const { return base::max() * Q::reference; } }; template requires std::integral struct binomial_distribution : public std::binomial_distribution { using rep = TYPENAME Q::rep; using base = TYPENAME std::binomial_distribution; binomial_distribution() : base() {} binomial_distribution(const Q& t, double p) : base(t.number(), p) {} template Q operator()(Generator& g) { return base::operator()(g) * Q::reference; } Q t() const { return base::t() * Q::reference; } Q min() const { return base::min() * Q::reference; } Q max() const { return base::max() * Q::reference; } }; template requires std::integral struct negative_binomial_distribution : public std::negative_binomial_distribution { using rep = TYPENAME Q::rep; using base = TYPENAME std::negative_binomial_distribution; negative_binomial_distribution() : base() {} negative_binomial_distribution(const Q& k, double p) : base(k.number(), p) {} template Q operator()(Generator& g) { return base::operator()(g) * Q::reference; } Q k() const { return base::k() * Q::reference; } Q min() const { return base::min() * Q::reference; } Q max() const { return base::max() * Q::reference; } }; template requires std::integral struct geometric_distribution : public std::geometric_distribution { using rep = TYPENAME Q::rep; using base = TYPENAME std::geometric_distribution; geometric_distribution() : base() {} geometric_distribution(double p) : base(p) {} template Q operator()(Generator& g) { return base::operator()(g) * Q::reference; } Q min() const { return base::min() * Q::reference; } Q max() const { return base::max() * Q::reference; } }; template requires std::integral struct poisson_distribution : public std::poisson_distribution { using rep = TYPENAME Q::rep; using base = TYPENAME std::poisson_distribution; poisson_distribution() : base() {} explicit poisson_distribution(double p) : base(p) {} template Q operator()(Generator& g) { return base::operator()(g) * Q::reference; } Q min() const { return base::min() * Q::reference; } Q max() const { return base::max() * Q::reference; } }; template requires std::floating_point struct exponential_distribution : public std::exponential_distribution { using rep = TYPENAME Q::rep; using base = TYPENAME std::exponential_distribution; exponential_distribution() : base() {} explicit exponential_distribution(const rep& lambda) : base(lambda) {} template Q operator()(Generator& g) { return base::operator()(g) * Q::reference; } Q min() const { return base::min() * Q::reference; } Q max() const { return base::max() * Q::reference; } }; template requires std::floating_point struct gamma_distribution : public std::gamma_distribution { using rep = TYPENAME Q::rep; using base = TYPENAME std::gamma_distribution; gamma_distribution() : base() {} gamma_distribution(const rep& alpha, const rep& beta) : base(alpha, beta) {} template Q operator()(Generator& g) { return base::operator()(g) * Q::reference; } Q min() const { return base::min() * Q::reference; } Q max() const { return base::max() * Q::reference; } }; template requires std::floating_point struct weibull_distribution : public std::weibull_distribution { using rep = TYPENAME Q::rep; using base = TYPENAME std::weibull_distribution; weibull_distribution() : base() {} weibull_distribution(const rep& a, const rep& b) : base(a, b) {} template Q operator()(Generator& g) { return base::operator()(g) * Q::reference; } Q min() const { return base::min() * Q::reference; } Q max() const { return base::max() * Q::reference; } }; template requires std::floating_point struct extreme_value_distribution : public std::extreme_value_distribution { using rep = TYPENAME Q::rep; using base = TYPENAME std::extreme_value_distribution; extreme_value_distribution() : base() {} extreme_value_distribution(const Q& a, const rep& b) : base(a.number(), b) {} template Q operator()(Generator& g) { return Q(base::operator()(g)); } Q a() const { return base::a() * Q::reference; } Q min() const { return base::min() * Q::reference; } Q max() const { return base::max() * Q::reference; } }; template requires std::floating_point struct normal_distribution : public std::normal_distribution { using rep = TYPENAME Q::rep; using base = TYPENAME std::normal_distribution; normal_distribution() : base() {} normal_distribution(const Q& mean, const Q& stddev) : base(mean.number(), stddev.number()) {} template Q operator()(Generator& g) { return Q(base::operator()(g)); } Q mean() const { return base::mean() * Q::reference; } Q stddev() const { return base::stddev() * Q::reference; } Q min() const { return base::min() * Q::reference; } Q max() const { return base::max() * Q::reference; } }; template requires std::floating_point struct lognormal_distribution : public std::lognormal_distribution { using rep = TYPENAME Q::rep; using base = TYPENAME std::lognormal_distribution; lognormal_distribution() : base() {} lognormal_distribution(const Q& m, const Q& s) : base(m.number(), s.number()) {} template Q operator()(Generator& g) { return base::operator()(g) * Q::reference; } Q m() const { return base::m() * Q::reference; } Q s() const { return base::s() * Q::reference; } Q min() const { return base::min() * Q::reference; } Q max() const { return base::max() * Q::reference; } }; template requires std::floating_point struct chi_squared_distribution : public std::chi_squared_distribution { using rep = TYPENAME Q::rep; using base = TYPENAME std::chi_squared_distribution; chi_squared_distribution() : base() {} explicit chi_squared_distribution(const rep& n) : base(n) {} template Q operator()(Generator& g) { return base::operator()(g) * Q::reference; } Q min() const { return base::min() * Q::reference; } Q max() const { return base::max() * Q::reference; } }; template requires std::floating_point struct cauchy_distribution : public std::cauchy_distribution { using rep = TYPENAME Q::rep; using base = TYPENAME std::cauchy_distribution; cauchy_distribution() : base() {} cauchy_distribution(const Q& a, const Q& b) : base(a.number(), b.number()) {} template Q operator()(Generator& g) { return base::operator()(g) * Q::reference; } Q a() const { return base::a() * Q::reference; } Q b() const { return base::b() * Q::reference; } Q min() const { return base::min() * Q::reference; } Q max() const { return base::max() * Q::reference; } }; template requires std::floating_point struct fisher_f_distribution : public std::fisher_f_distribution { using rep = TYPENAME Q::rep; using base = TYPENAME std::fisher_f_distribution; fisher_f_distribution() : base() {} fisher_f_distribution(const rep& m, const rep& n) : base(m, n) {} template Q operator()(Generator& g) { return base::operator()(g) * Q::reference; } Q min() const { return base::min() * Q::reference; } Q max() const { return base::max() * Q::reference; } }; template requires std::floating_point struct student_t_distribution : public std::student_t_distribution { using rep = TYPENAME Q::rep; using base = TYPENAME std::student_t_distribution; student_t_distribution() : base() {} explicit student_t_distribution(const rep& n) : base(n) {} template Q operator()(Generator& g) { return base::operator()(g) * Q::reference; } Q min() const { return base::min() * Q::reference; } Q max() const { return base::max() * Q::reference; } }; template requires std::integral struct discrete_distribution : public std::discrete_distribution { using rep = TYPENAME Q::rep; using base = TYPENAME std::discrete_distribution; discrete_distribution() : base() {} template discrete_distribution(InputIt first, InputIt last) : base(first, last) { } discrete_distribution(std::initializer_list weights) : base(weights) {} template discrete_distribution(std::size_t count, double xmin, double xmax, UnaryOperation unary_op) : base(count, xmin, xmax, unary_op) { } template Q operator()(Generator& g) { return base::operator()(g) * Q::reference; } Q min() const { return base::min() * Q::reference; } Q max() const { return base::max() * Q::reference; } }; template requires std::floating_point class piecewise_constant_distribution : public std::piecewise_constant_distribution { using rep = TYPENAME Q::rep; using base = TYPENAME std::piecewise_constant_distribution; template piecewise_constant_distribution(const std::vector& i, InputIt first_w) : base(i.cbegin(), i.cend(), first_w) { } piecewise_constant_distribution(const std::vector& bl, const std::vector& weights) : base(bl.cbegin(), bl.cend(), weights.cbegin()) { } public: piecewise_constant_distribution() : base() {} template piecewise_constant_distribution(InputIt1 first_i, InputIt1 last_i, InputIt2 first_w) : piecewise_constant_distribution(detail::i_qty_to_rep(first_i, last_i), first_w) { } template piecewise_constant_distribution(std::initializer_list bl, UnaryOperation fw) : piecewise_constant_distribution(detail::bl_qty_to_rep(bl), detail::fw_bl_pwc(bl, fw)) { } template piecewise_constant_distribution(std::size_t nw, const Q& xmin, const Q& xmax, UnaryOperation fw) : base(nw, xmin.number(), xmax.number(), [fw](rep val) { return fw(val * Q::reference); }) { } template Q operator()(Generator& g) { return base::operator()(g) * Q::reference; } std::vector intervals() const { std::vector intervals_rep = base::intervals(); std::vector intervals_qty; intervals_qty.reserve(intervals_rep.size()); for (const rep& val : intervals_rep) { intervals_qty.push_back(val * Q::reference); } return intervals_qty; } Q min() const { return base::min() * Q::reference; } Q max() const { return base::max() * Q::reference; } }; template requires std::floating_point class piecewise_linear_distribution : public std::piecewise_linear_distribution { using rep = TYPENAME Q::rep; using base = TYPENAME std::piecewise_linear_distribution; template piecewise_linear_distribution(const std::vector& i, InputIt first_w) : base(i.cbegin(), i.cend(), first_w) { } piecewise_linear_distribution(const std::vector& bl, const std::vector& weights) : base(bl.cbegin(), bl.cend(), weights.cbegin()) { } public: piecewise_linear_distribution() : base() {} template piecewise_linear_distribution(InputIt1 first_i, InputIt1 last_i, InputIt2 first_w) : piecewise_linear_distribution(detail::i_qty_to_rep(first_i, last_i), first_w) { } template piecewise_linear_distribution(std::initializer_list bl, UnaryOperation fw) : piecewise_linear_distribution(detail::bl_qty_to_rep(bl), detail::fw_bl_pwl(bl, fw)) { } template piecewise_linear_distribution(std::size_t nw, const Q& xmin, const Q& xmax, UnaryOperation fw) : base(nw, xmin.number(), xmax.number(), [fw](rep val) { return fw(val * Q::reference); }) { } template Q operator()(Generator& g) { return base::operator()(g) * Q::reference; } std::vector intervals() const { std::vector intervals_rep = base::intervals(); std::vector intervals_qty; intervals_qty.reserve(intervals_rep.size()); for (const rep& val : intervals_rep) { intervals_qty.push_back(val * Q::reference); } return intervals_qty; } Q min() const { return base::min() * Q::reference; } Q max() const { return base::max() * Q::reference; } }; } // namespace mp_units