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https://github.com/mpusz/mp-units.git
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refactored random distribution number wrapper and test
This commit is contained in:
Ramzi Sabra
committed by
Mateusz Pusz
Mateusz Pusz
parent
1ce7949cf5
commit
2f67372e17
@ -1,453 +1,463 @@
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// The MIT License (MIT)
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//
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// Copyright (c) 2018 Mateusz Pusz
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//
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// Permission is hereby granted, free of charge, to any person obtaining a copy
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// of this software and associated documentation files (the "Software"), to deal
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// in the Software without restriction, including without limitation the rights
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// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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// copies of the Software, and to permit persons to whom the Software is
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// furnished to do so, subject to the following conditions:
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//
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// The above copyright notice and this permission notice shall be included in all
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// copies or substantial portions of the Software.
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//
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// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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// SOFTWARE.
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#pragma once
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#include <random>
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#include <functional>
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#include <units/concepts.h>
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namespace units {
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template<typename Quantity>
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struct uniform_int_distribution : public std::uniform_int_distribution<typename Quantity::rep>
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{
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using Rep = Quantity::rep;
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using Base = std::uniform_int_distribution<Rep>;
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uniform_int_distribution() : Base() {}
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uniform_int_distribution(Quantity a, Quantity b) : Base(a.count(), b.count()) {}
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template<typename Generator>
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Quantity operator()(Generator& g) { return Quantity(Base::operator()(g)); }
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Quantity a() const { return Quantity(Base::a()); }
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Quantity b() const { return Quantity(Base::b()); }
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Quantity min() const { return Quantity(Base::min()); }
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Quantity max() const { return Quantity(Base::max()); }
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};
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template<typename Quantity>
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struct uniform_real_distribution : public std::uniform_real_distribution<typename Quantity::rep>
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{
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using Rep = Quantity::rep;
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using Base = std::uniform_real_distribution<Rep>;
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uniform_real_distribution() : Base() {}
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uniform_real_distribution(Quantity a, Quantity b) : Base(a.count(), b.count()) {}
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template<typename Generator>
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Quantity operator()(Generator& g) { return Quantity(Base::operator()(g)); }
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Quantity a() const { return Quantity(Base::a()); }
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Quantity b() const { return Quantity(Base::b()); }
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Quantity min() const { return Quantity(Base::min()); }
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Quantity max() const { return Quantity(Base::max()); }
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};
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template<typename Quantity>
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struct binomial_distribution : public std::binomial_distribution<typename Quantity::rep>
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{
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using Rep = Quantity::rep;
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using Base = std::binomial_distribution<Rep>;
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binomial_distribution() : Base() {}
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binomial_distribution(Quantity t, double p) : Base(t.count(), p) {}
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template<typename Generator>
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Quantity operator()(Generator& g) { return Quantity(Base::operator()(g)); }
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Quantity t() const { return Quantity(Base::t()); }
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Quantity min() const { return Quantity(Base::min()); }
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Quantity max() const { return Quantity(Base::max()); }
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};
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template<typename Quantity>
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struct negative_binomial_distribution : public std::negative_binomial_distribution<typename Quantity::rep>
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{
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using Rep = Quantity::rep;
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using Base = std::negative_binomial_distribution<Rep>;
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negative_binomial_distribution() : Base() {}
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negative_binomial_distribution(Quantity k, double p) : Base(k.count(), p) {}
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template<typename Generator>
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Quantity operator()(Generator& g) { return Quantity(Base::operator()(g)); }
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Quantity k() const { return Quantity(Base::k()); }
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Quantity min() const { return Quantity(Base::min()); }
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Quantity max() const { return Quantity(Base::max()); }
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};
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template<typename Quantity>
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struct geometric_distribution : public std::geometric_distribution<typename Quantity::rep>
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{
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using Rep = Quantity::rep;
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using Base = std::geometric_distribution<Rep>;
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geometric_distribution() : Base() {}
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geometric_distribution(double p) : Base(p) {}
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template<typename Generator>
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Quantity operator()(Generator& g) { return Quantity(Base::operator()(g)); }
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Quantity min() const { return Quantity(Base::min()); }
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Quantity max() const { return Quantity(Base::max()); }
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};
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template<typename Quantity>
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struct poisson_distribution : public std::poisson_distribution<typename Quantity::rep>
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{
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using Rep = Quantity::rep;
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using Base = std::poisson_distribution<Rep>;
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poisson_distribution() : Base() {}
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poisson_distribution(double p) : Base(p) {}
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template<typename Generator>
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Quantity operator()(Generator& g) { return Quantity(Base::operator()(g)); }
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Quantity min() const { return Quantity(Base::min()); }
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Quantity max() const { return Quantity(Base::max()); }
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};
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template<typename Quantity>
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struct exponential_distribution : public std::exponential_distribution<typename Quantity::rep>
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{
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using Rep = Quantity::rep;
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using Base = std::exponential_distribution<Rep>;
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exponential_distribution() : Base() {}
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exponential_distribution(Rep lambda) : Base(lambda) {}
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template<typename Generator>
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Quantity operator()(Generator& g) { return Quantity(Base::operator()(g)); }
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Quantity min() const { return Quantity(Base::min()); }
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Quantity max() const { return Quantity(Base::max()); }
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};
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template<typename Quantity>
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struct gamma_distribution : public std::gamma_distribution<typename Quantity::rep>
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{
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using Rep = Quantity::rep;
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using Base = std::gamma_distribution<Rep>;
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gamma_distribution() : Base() {}
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gamma_distribution(Rep alpha, Rep beta) : Base(alpha, beta) {}
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template<typename Generator>
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Quantity operator()(Generator& g) { return Quantity(Base::operator()(g)); }
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Quantity min() const { return Quantity(Base::min()); }
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Quantity max() const { return Quantity(Base::max()); }
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};
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template<typename Quantity>
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struct weibull_distribution : public std::weibull_distribution<typename Quantity::rep>
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{
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using Rep = Quantity::rep;
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using Base = std::weibull_distribution<Rep>;
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weibull_distribution() : Base() {}
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weibull_distribution(Rep a, Rep b) : Base(a, b) {}
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template<typename Generator>
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Quantity operator()(Generator& g) { return Quantity(Base::operator()(g)); }
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Quantity min() const { return Quantity(Base::min()); }
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Quantity max() const { return Quantity(Base::max()); }
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};
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template<typename Quantity>
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struct extreme_value_distribution : public std::extreme_value_distribution<typename Quantity::rep>
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{
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using Rep = Quantity::rep;
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using Base = std::extreme_value_distribution<Rep>;
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extreme_value_distribution() : Base() {}
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extreme_value_distribution(Quantity a, Rep b) : Base(a.count(), b) {}
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template<typename Generator>
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Quantity operator()(Generator& g) { return Quantity(Base::operator()(g)); }
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Quantity a() const { return Quantity(Base::a()); }
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Quantity min() const { return Quantity(Base::min()); }
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Quantity max() const { return Quantity(Base::max()); }
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};
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template<typename Quantity>
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struct normal_distribution : public std::normal_distribution<typename Quantity::rep>
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{
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using Rep = Quantity::rep;
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using Base = std::normal_distribution<Rep>;
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normal_distribution() : Base() {}
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normal_distribution(Quantity mean, Quantity stddev) : Base(mean.count(), stddev.count()) {}
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template<typename Generator>
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Quantity operator()(Generator& g) { return Quantity(Base::operator()(g)); }
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Quantity mean() const { return Quantity(Base::mean()); }
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Quantity stddev() const { return Quantity(Base::stddev()); }
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Quantity min() const { return Quantity(Base::min()); }
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Quantity max() const { return Quantity(Base::max()); }
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};
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template<typename Quantity>
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struct lognormal_distribution : public std::lognormal_distribution<typename Quantity::rep>
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{
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using Rep = Quantity::rep;
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using Base = std::lognormal_distribution<Rep>;
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lognormal_distribution() : Base() {}
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lognormal_distribution(Quantity m, Quantity s) : Base(m.count(), s.count()) {}
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template<typename Generator>
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Quantity operator()(Generator& g) { return Quantity(Base::operator()(g)); }
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Quantity m() const { return Quantity(Base::m()); }
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Quantity s() const { return Quantity(Base::s()); }
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Quantity min() const { return Quantity(Base::min()); }
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Quantity max() const { return Quantity(Base::max()); }
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};
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template<typename Quantity>
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struct chi_squared_distribution : public std::chi_squared_distribution<typename Quantity::rep>
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{
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using Rep = Quantity::rep;
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using Base = std::chi_squared_distribution<Rep>;
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chi_squared_distribution() : Base() {}
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chi_squared_distribution(Rep n) : Base(n) {}
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template<typename Generator>
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Quantity operator()(Generator& g) { return Quantity(Base::operator()(g)); }
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Quantity min() const { return Quantity(Base::min()); }
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Quantity max() const { return Quantity(Base::max()); }
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};
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template<typename Quantity>
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struct cauchy_distribution : public std::cauchy_distribution<typename Quantity::rep>
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{
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using Rep = Quantity::rep;
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using Base = std::cauchy_distribution<Rep>;
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cauchy_distribution() : Base() {}
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cauchy_distribution(Quantity a, Quantity b) : Base(a.count(), b.count()) {}
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template<typename Generator>
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Quantity operator()(Generator& g) { return Quantity(Base::operator()(g)); }
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Quantity a() const { return Quantity(Base::a()); }
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Quantity b() const { return Quantity(Base::b()); }
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Quantity min() const { return Quantity(Base::min()); }
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Quantity max() const { return Quantity(Base::max()); }
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};
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template<typename Quantity>
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struct fisher_f_distribution : public std::fisher_f_distribution<typename Quantity::rep>
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{
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using Rep = Quantity::rep;
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using Base = std::fisher_f_distribution<Rep>;
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fisher_f_distribution() : Base() {}
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fisher_f_distribution(Rep m, Rep n) : Base(m, n) {}
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template<typename Generator>
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Quantity operator()(Generator& g) { return Quantity(Base::operator()(g)); }
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Quantity min() const { return Quantity(Base::min()); }
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Quantity max() const { return Quantity(Base::max()); }
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};
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template<typename Quantity>
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struct student_t_distribution : public std::student_t_distribution<typename Quantity::rep>
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{
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using Rep = Quantity::rep;
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using Base = std::student_t_distribution<Rep>;
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student_t_distribution() : Base() {}
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student_t_distribution(Rep n) : Base(n) {}
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template<typename Generator>
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Quantity operator()(Generator& g) { return Quantity(Base::operator()(g)); }
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Quantity min() const { return Quantity(Base::min()); }
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Quantity max() const { return Quantity(Base::max()); }
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};
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template<typename Quantity>
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struct discrete_distribution : public std::discrete_distribution<typename Quantity::rep>
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{
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using Rep = Quantity::rep;
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using Base = std::discrete_distribution<Rep>;
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discrete_distribution() : Base() {}
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template <typename InputIt>
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discrete_distribution(InputIt first, InputIt last) : Base(first, last) {}
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discrete_distribution(std::initializer_list<double> weights) : Base(weights) {}
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template <typename UnaryOperation>
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discrete_distribution(std::size_t count, double xmin, double xmax, UnaryOperation unary_op) :
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Base(count, xmin, xmax, unary_op) {}
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template<typename Generator>
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Quantity operator()(Generator& g) { return Quantity(Base::operator()(g)); }
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Quantity min() const { return Quantity(Base::min()); }
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Quantity max() const { return Quantity(Base::max()); }
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};
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template<typename Quantity>
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class piecewise_constant_distribution : public std::piecewise_constant_distribution<typename Quantity::rep>
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{
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using Rep = Quantity::rep;
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using Base = std::piecewise_constant_distribution<Rep>;
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template <typename InputIt>
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inline static std::vector<Rep> i_qty_to_rep(InputIt first, InputIt last)
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namespace detail {
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template <Quantity Q, typename InputIt>
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static std::vector<typename Q::rep> i_qty_to_rep(InputIt first, InputIt last)
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{
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std::vector<Rep> intervals_rep;
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std::vector<typename Q::rep> intervals_rep;
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intervals_rep.reserve(static_cast<size_t>(std::distance(first, last)));
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for (auto itr = first; itr != last; ++itr) { intervals_rep.push_back(itr->count()); }
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return intervals_rep;
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}
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inline static std::vector<Rep> bl_qty_to_rep(std::initializer_list<Quantity>& bl)
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template <Quantity Q>
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static std::vector<typename Q::rep> bl_qty_to_rep(std::initializer_list<Q>& bl)
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{
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std::vector<Rep> bl_rep;
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std::vector<typename Q::rep> bl_rep;
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bl_rep.reserve(bl.size());
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for (const Quantity& qty : bl) { bl_rep.push_back(qty.count()); }
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for (const Q& qty : bl) { bl_rep.push_back(qty.count()); }
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return bl_rep;
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}
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template <typename UnaryOperation>
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inline static std::vector<Rep> fw_bl(std::initializer_list<Quantity>& bl, UnaryOperation fw)
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template <Quantity Q, typename UnaryOperation>
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inline static std::vector<typename Q::rep> fw_bl_pwc(std::initializer_list<Q>& bl, UnaryOperation fw)
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{
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std::vector<Rep> w_bl;
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using rep = Q::rep;
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std::vector<rep> w_bl;
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w_bl.reserve(bl.size());
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for (const Quantity& qty : bl) { w_bl.push_back(fw(qty)); }
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std::vector<Rep> weights;
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for (const Q& qty : bl) { w_bl.push_back(fw(qty)); }
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std::vector<rep> weights;
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weights.reserve(bl.size());
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for (size_t i = 0; i < bl.size() - 1; ++i) { weights.push_back(w_bl[i] + w_bl[i + 1]); }
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weights.push_back(0);
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return weights;
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}
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template <Quantity Q, typename UnaryOperation>
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static std::vector<typename Q::rep> fw_bl_pwl(std::initializer_list<Q>& bl, UnaryOperation fw)
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{
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std::vector<typename Q::rep> weights;
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weights.reserve(bl.size());
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for (const Q& qty : bl) { weights.push_back(fw(qty)); }
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return weights;
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}
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} // namespace detail
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template<Quantity Q>
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struct uniform_int_distribution : public std::uniform_int_distribution<typename Q::rep>
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{
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using rep = Q::rep;
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using base = std::uniform_int_distribution<rep>;
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explicit uniform_int_distribution() : base() {}
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uniform_int_distribution(const Q& a, const Q& b) : base(a.count(), b.count()) {}
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template<typename Generator>
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Q operator()(Generator& g) { return Q(base::operator()(g)); }
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Q a() const { return Q(base::a()); }
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Q b() const { return Q(base::b()); }
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Q min() const { return Q(base::min()); }
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Q max() const { return Q(base::max()); }
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};
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template<Quantity Q>
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struct uniform_real_distribution : public std::uniform_real_distribution<typename Q::rep>
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{
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using rep = Q::rep;
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using base = std::uniform_real_distribution<rep>;
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explicit uniform_real_distribution() : base() {}
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uniform_real_distribution(const Q& a, const Q& b) : base(a.count(), b.count()) {}
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template<typename Generator>
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Q operator()(Generator& g) { return Q(base::operator()(g)); }
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Q a() const { return Q(base::a()); }
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Q b() const { return Q(base::b()); }
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Q min() const { return Q(base::min()); }
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Q max() const { return Q(base::max()); }
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};
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template<Quantity Q>
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struct binomial_distribution : public std::binomial_distribution<typename Q::rep>
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{
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using rep = Q::rep;
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using base = std::binomial_distribution<rep>;
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explicit binomial_distribution() : base() {}
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binomial_distribution(const Q& t, double p) : base(t.count(), p) {}
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template<typename Generator>
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Q operator()(Generator& g) { return Q(base::operator()(g)); }
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Q t() const { return Q(base::t()); }
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Q min() const { return Q(base::min()); }
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Q max() const { return Q(base::max()); }
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};
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template<Quantity Q>
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struct negative_binomial_distribution : public std::negative_binomial_distribution<typename Q::rep>
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{
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using rep = Q::rep;
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using base = std::negative_binomial_distribution<rep>;
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explicit negative_binomial_distribution() : base() {}
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negative_binomial_distribution(const Q& k, double p) : base(k.count(), p) {}
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template<typename Generator>
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Q operator()(Generator& g) { return Q(base::operator()(g)); }
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Q k() const { return Q(base::k()); }
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|
||||
Q min() const { return Q(base::min()); }
|
||||
Q max() const { return Q(base::max()); }
|
||||
};
|
||||
|
||||
template<Quantity Q>
|
||||
struct geometric_distribution : public std::geometric_distribution<typename Q::rep>
|
||||
{
|
||||
using rep = Q::rep;
|
||||
using base = std::geometric_distribution<rep>;
|
||||
|
||||
explicit geometric_distribution() : base() {}
|
||||
geometric_distribution(double p) : base(p) {}
|
||||
|
||||
template<typename Generator>
|
||||
Q operator()(Generator& g) { return Q(base::operator()(g)); }
|
||||
|
||||
Q min() const { return Q(base::min()); }
|
||||
Q max() const { return Q(base::max()); }
|
||||
};
|
||||
|
||||
template<Quantity Q>
|
||||
struct poisson_distribution : public std::poisson_distribution<typename Q::rep>
|
||||
{
|
||||
using rep = Q::rep;
|
||||
using base = std::poisson_distribution<rep>;
|
||||
|
||||
explicit poisson_distribution() : base() {}
|
||||
explicit poisson_distribution(double p) : base(p) {}
|
||||
|
||||
template<typename Generator>
|
||||
Q operator()(Generator& g) { return Q(base::operator()(g)); }
|
||||
|
||||
Q min() const { return Q(base::min()); }
|
||||
Q max() const { return Q(base::max()); }
|
||||
};
|
||||
|
||||
template<Quantity Q>
|
||||
struct exponential_distribution : public std::exponential_distribution<typename Q::rep>
|
||||
{
|
||||
using rep = Q::rep;
|
||||
using base = std::exponential_distribution<rep>;
|
||||
|
||||
explicit exponential_distribution() : base() {}
|
||||
explicit exponential_distribution(rep lambda) : base(lambda) {}
|
||||
|
||||
template<typename Generator>
|
||||
Q operator()(Generator& g) { return Q(base::operator()(g)); }
|
||||
|
||||
Q min() const { return Q(base::min()); }
|
||||
Q max() const { return Q(base::max()); }
|
||||
};
|
||||
|
||||
template<Quantity Q>
|
||||
struct gamma_distribution : public std::gamma_distribution<typename Q::rep>
|
||||
{
|
||||
using rep = Q::rep;
|
||||
using base = std::gamma_distribution<rep>;
|
||||
|
||||
explicit gamma_distribution() : base() {}
|
||||
gamma_distribution(rep alpha, rep beta) : base(alpha, beta) {}
|
||||
|
||||
template<typename Generator>
|
||||
Q operator()(Generator& g) { return Q(base::operator()(g)); }
|
||||
|
||||
Q min() const { return Q(base::min()); }
|
||||
Q max() const { return Q(base::max()); }
|
||||
};
|
||||
|
||||
template<Quantity Q>
|
||||
struct weibull_distribution : public std::weibull_distribution<typename Q::rep>
|
||||
{
|
||||
using rep = Q::rep;
|
||||
using base = std::weibull_distribution<rep>;
|
||||
|
||||
explicit weibull_distribution() : base() {}
|
||||
weibull_distribution(rep a, rep b) : base(a, b) {}
|
||||
|
||||
template<typename Generator>
|
||||
Q operator()(Generator& g) { return Q(base::operator()(g)); }
|
||||
|
||||
Q min() const { return Q(base::min()); }
|
||||
Q max() const { return Q(base::max()); }
|
||||
};
|
||||
|
||||
template<Quantity Q>
|
||||
struct extreme_value_distribution : public std::extreme_value_distribution<typename Q::rep>
|
||||
{
|
||||
using rep = Q::rep;
|
||||
using base = std::extreme_value_distribution<rep>;
|
||||
|
||||
explicit extreme_value_distribution() : base() {}
|
||||
extreme_value_distribution(const Q& a, rep b) : base(a.count(), b) {}
|
||||
|
||||
template<typename Generator>
|
||||
Q operator()(Generator& g) { return Q(base::operator()(g)); }
|
||||
|
||||
Q a() const { return Q(base::a()); }
|
||||
|
||||
Q min() const { return Q(base::min()); }
|
||||
Q max() const { return Q(base::max()); }
|
||||
};
|
||||
|
||||
template<Quantity Q>
|
||||
struct normal_distribution : public std::normal_distribution<typename Q::rep>
|
||||
{
|
||||
using rep = Q::rep;
|
||||
using base = std::normal_distribution<rep>;
|
||||
|
||||
explicit normal_distribution() : base() {}
|
||||
normal_distribution(const Q& mean, const Q& stddev) : base(mean.count(), stddev.count()) {}
|
||||
|
||||
template<typename Generator>
|
||||
Q operator()(Generator& g) { return Q(base::operator()(g)); }
|
||||
|
||||
Q mean() const { return Q(base::mean()); }
|
||||
Q stddev() const { return Q(base::stddev()); }
|
||||
|
||||
Q min() const { return Q(base::min()); }
|
||||
Q max() const { return Q(base::max()); }
|
||||
};
|
||||
|
||||
template<Quantity Q>
|
||||
struct lognormal_distribution : public std::lognormal_distribution<typename Q::rep>
|
||||
{
|
||||
using rep = Q::rep;
|
||||
using base = std::lognormal_distribution<rep>;
|
||||
|
||||
explicit lognormal_distribution() : base() {}
|
||||
lognormal_distribution(const Q& m, const Q& s) : base(m.count(), s.count()) {}
|
||||
|
||||
template<typename Generator>
|
||||
Q operator()(Generator& g) { return Q(base::operator()(g)); }
|
||||
|
||||
Q m() const { return Q(base::m()); }
|
||||
Q s() const { return Q(base::s()); }
|
||||
|
||||
Q min() const { return Q(base::min()); }
|
||||
Q max() const { return Q(base::max()); }
|
||||
};
|
||||
|
||||
template<Quantity Q>
|
||||
struct chi_squared_distribution : public std::chi_squared_distribution<typename Q::rep>
|
||||
{
|
||||
using rep = Q::rep;
|
||||
using base = std::chi_squared_distribution<rep>;
|
||||
|
||||
explicit chi_squared_distribution() : base() {}
|
||||
explicit chi_squared_distribution(rep n) : base(n) {}
|
||||
|
||||
template<typename Generator>
|
||||
Q operator()(Generator& g) { return Q(base::operator()(g)); }
|
||||
|
||||
Q min() const { return Q(base::min()); }
|
||||
Q max() const { return Q(base::max()); }
|
||||
};
|
||||
|
||||
template<Quantity Q>
|
||||
struct cauchy_distribution : public std::cauchy_distribution<typename Q::rep>
|
||||
{
|
||||
using rep = Q::rep;
|
||||
using base = std::cauchy_distribution<rep>;
|
||||
|
||||
explicit cauchy_distribution() : base() {}
|
||||
cauchy_distribution(const Q& a, const Q& b) : base(a.count(), b.count()) {}
|
||||
|
||||
template<typename Generator>
|
||||
Q operator()(Generator& g) { return Q(base::operator()(g)); }
|
||||
|
||||
Q a() const { return Q(base::a()); }
|
||||
Q b() const { return Q(base::b()); }
|
||||
|
||||
Q min() const { return Q(base::min()); }
|
||||
Q max() const { return Q(base::max()); }
|
||||
};
|
||||
|
||||
template<Quantity Q>
|
||||
struct fisher_f_distribution : public std::fisher_f_distribution<typename Q::rep>
|
||||
{
|
||||
using rep = Q::rep;
|
||||
using base = std::fisher_f_distribution<rep>;
|
||||
|
||||
explicit fisher_f_distribution() : base() {}
|
||||
fisher_f_distribution(rep m, rep n) : base(m, n) {}
|
||||
|
||||
template<typename Generator>
|
||||
Q operator()(Generator& g) { return Q(base::operator()(g)); }
|
||||
|
||||
Q min() const { return Q(base::min()); }
|
||||
Q max() const { return Q(base::max()); }
|
||||
};
|
||||
|
||||
template<Quantity Q>
|
||||
struct student_t_distribution : public std::student_t_distribution<typename Q::rep>
|
||||
{
|
||||
using rep = Q::rep;
|
||||
using base = std::student_t_distribution<rep>;
|
||||
|
||||
explicit student_t_distribution() : base() {}
|
||||
explicit student_t_distribution(rep n) : base(n) {}
|
||||
|
||||
template<typename Generator>
|
||||
Q operator()(Generator& g) { return Q(base::operator()(g)); }
|
||||
|
||||
Q min() const { return Q(base::min()); }
|
||||
Q max() const { return Q(base::max()); }
|
||||
};
|
||||
|
||||
template<Quantity Q>
|
||||
struct discrete_distribution : public std::discrete_distribution<typename Q::rep>
|
||||
{
|
||||
using rep = Q::rep;
|
||||
using base = std::discrete_distribution<rep>;
|
||||
|
||||
explicit discrete_distribution() : base() {}
|
||||
|
||||
template <typename InputIt>
|
||||
piecewise_constant_distribution(const std::vector<Rep>& i, InputIt first_w) :
|
||||
Base(i.cbegin(), i.cend(), first_w) {}
|
||||
discrete_distribution(InputIt first, InputIt last) : base(first, last) {}
|
||||
|
||||
discrete_distribution(std::initializer_list<double> weights) : base(weights) {}
|
||||
|
||||
template <typename UnaryOperation>
|
||||
discrete_distribution(std::size_t count, double xmin, double xmax, UnaryOperation unary_op) :
|
||||
base(count, xmin, xmax, unary_op) {}
|
||||
|
||||
piecewise_constant_distribution(const std::vector<Rep>& bl, const std::vector<Rep>& weights) :
|
||||
Base(bl.cbegin(), bl.cend(), weights.cbegin()) {}
|
||||
template<typename Generator>
|
||||
Q operator()(Generator& g) { return Q(base::operator()(g)); }
|
||||
|
||||
Q min() const { return Q(base::min()); }
|
||||
Q max() const { return Q(base::max()); }
|
||||
};
|
||||
|
||||
template<Quantity Q>
|
||||
class piecewise_constant_distribution : public std::piecewise_constant_distribution<typename Q::rep>
|
||||
{
|
||||
using rep = Q::rep;
|
||||
using base = std::piecewise_constant_distribution<rep>;
|
||||
|
||||
template <typename InputIt>
|
||||
piecewise_constant_distribution(const std::vector<rep>& i, InputIt first_w) :
|
||||
base(i.cbegin(), i.cend(), first_w) {}
|
||||
|
||||
piecewise_constant_distribution(const std::vector<rep>& bl, const std::vector<rep>& weights) :
|
||||
base(bl.cbegin(), bl.cend(), weights.cbegin()) {}
|
||||
|
||||
public:
|
||||
piecewise_constant_distribution() : Base() {}
|
||||
explicit piecewise_constant_distribution() : base() {}
|
||||
|
||||
template <typename InputIt1, typename InputIt2>
|
||||
piecewise_constant_distribution(InputIt1 first_i, InputIt1 last_i, InputIt2 first_w) :
|
||||
piecewise_constant_distribution(i_qty_to_rep(first_i, last_i), first_w) {}
|
||||
piecewise_constant_distribution(detail::i_qty_to_rep<Q>(first_i, last_i), first_w) {}
|
||||
|
||||
template <typename UnaryOperation>
|
||||
piecewise_constant_distribution(std::initializer_list<Quantity> bl, UnaryOperation fw) :
|
||||
piecewise_constant_distribution(bl_qty_to_rep(bl), fw_bl(bl, fw)) {}
|
||||
piecewise_constant_distribution(std::initializer_list<Q> bl, UnaryOperation fw) :
|
||||
piecewise_constant_distribution(detail::bl_qty_to_rep(bl), detail::fw_bl_pwc(bl, fw)) {}
|
||||
|
||||
template <typename UnaryOperation>
|
||||
piecewise_constant_distribution(std::size_t nw, Quantity xmin, Quantity xmax, UnaryOperation fw) :
|
||||
Base(nw, xmin.count(), xmax.count(), [fw](Rep val) { return fw(Quantity(val)); }) {}
|
||||
piecewise_constant_distribution(std::size_t nw, const Q& xmin, const Q& xmax, UnaryOperation fw) :
|
||||
base(nw, xmin.count(), xmax.count(), [fw](rep val) { return fw(Q(val)); }) {}
|
||||
|
||||
template<typename Generator>
|
||||
Quantity operator()(Generator& g) { return Quantity(Base::operator()(g)); }
|
||||
Q operator()(Generator& g) { return Q(base::operator()(g)); }
|
||||
|
||||
std::vector<Quantity> intervals() const
|
||||
std::vector<Q> intervals() const
|
||||
{
|
||||
std::vector<Rep> intervals_rep = Base::intervals();
|
||||
std::vector<Quantity> intervals_qty;
|
||||
std::vector<rep> intervals_rep = base::intervals();
|
||||
std::vector<Q> intervals_qty;
|
||||
intervals_qty.reserve(intervals_rep.size());
|
||||
for (const Rep& val : intervals_rep) { intervals_qty.push_back(Quantity(val)); }
|
||||
for (const rep& val : intervals_rep) { intervals_qty.push_back(Q(val)); }
|
||||
return intervals_qty;
|
||||
}
|
||||
|
||||
Quantity min() const { return Quantity(Base::min()); }
|
||||
Quantity max() const { return Quantity(Base::max()); }
|
||||
Q min() const { return Q(base::min()); }
|
||||
Q max() const { return Q(base::max()); }
|
||||
};
|
||||
|
||||
template<typename Quantity>
|
||||
class piecewise_linear_distribution : public std::piecewise_linear_distribution<typename Quantity::rep>
|
||||
template<Quantity Q>
|
||||
class piecewise_linear_distribution : public std::piecewise_linear_distribution<typename Q::rep>
|
||||
{
|
||||
using Rep = Quantity::rep;
|
||||
using Base = std::piecewise_linear_distribution<Rep>;
|
||||
|
||||
template <typename InputIt>
|
||||
inline static std::vector<Rep> i_qty_to_rep(InputIt first, InputIt last)
|
||||
{
|
||||
std::vector<Rep> intervals_rep;
|
||||
intervals_rep.reserve(static_cast<size_t>(std::distance(first, last)));
|
||||
for (auto itr = first; itr != last; ++itr) { intervals_rep.push_back(itr->count()); }
|
||||
return intervals_rep;
|
||||
}
|
||||
|
||||
inline static std::vector<Rep> bl_qty_to_rep(std::initializer_list<Quantity>& bl)
|
||||
{
|
||||
std::vector<Rep> bl_rep;
|
||||
bl_rep.reserve(bl.size());
|
||||
for (const Quantity& qty : bl) { bl_rep.push_back(qty.count()); }
|
||||
return bl_rep;
|
||||
}
|
||||
|
||||
template <typename UnaryOperation>
|
||||
inline static std::vector<Rep> fw_bl(std::initializer_list<Quantity>& bl, UnaryOperation fw)
|
||||
{
|
||||
std::vector<Rep> weights;
|
||||
weights.reserve(bl.size());
|
||||
for (const Quantity& qty : bl) { weights.push_back(fw(qty)); }
|
||||
return weights;
|
||||
}
|
||||
using rep = Q::rep;
|
||||
using base = std::piecewise_linear_distribution<rep>;
|
||||
|
||||
template <typename InputIt>
|
||||
piecewise_linear_distribution(const std::vector<Rep>& i, InputIt first_w) :
|
||||
Base(i.cbegin(), i.cend(), first_w) {}
|
||||
piecewise_linear_distribution(const std::vector<rep>& i, InputIt first_w) :
|
||||
base(i.cbegin(), i.cend(), first_w) {}
|
||||
|
||||
piecewise_linear_distribution(const std::vector<Rep>& bl, const std::vector<Rep>& weights) :
|
||||
Base(bl.cbegin(), bl.cend(), weights.cbegin()) {}
|
||||
piecewise_linear_distribution(const std::vector<rep>& bl, const std::vector<rep>& weights) :
|
||||
base(bl.cbegin(), bl.cend(), weights.cbegin()) {}
|
||||
|
||||
public:
|
||||
piecewise_linear_distribution() : Base() {}
|
||||
explicit piecewise_linear_distribution() : base() {}
|
||||
|
||||
template <typename InputIt1, typename InputIt2>
|
||||
piecewise_linear_distribution(InputIt1 first_i, InputIt1 last_i, InputIt2 first_w) :
|
||||
piecewise_linear_distribution(i_qty_to_rep(first_i, last_i), first_w) {}
|
||||
piecewise_linear_distribution(detail::i_qty_to_rep<Q>(first_i, last_i), first_w) {}
|
||||
|
||||
template <typename UnaryOperation>
|
||||
piecewise_linear_distribution(std::initializer_list<Quantity> bl, UnaryOperation fw) :
|
||||
piecewise_linear_distribution(bl_qty_to_rep(bl), fw_bl(bl, fw)) {}
|
||||
piecewise_linear_distribution(std::initializer_list<Q> bl, UnaryOperation fw) :
|
||||
piecewise_linear_distribution(detail::bl_qty_to_rep(bl), detail::fw_bl_pwl(bl, fw)) {}
|
||||
|
||||
template <typename UnaryOperation>
|
||||
piecewise_linear_distribution(std::size_t nw, Quantity xmin, Quantity xmax, UnaryOperation fw) :
|
||||
Base(nw, xmin.count(), xmax.count(), [fw](Rep val) { return fw(Quantity(val)); }) {}
|
||||
piecewise_linear_distribution(std::size_t nw, const Q& xmin, const Q& xmax, UnaryOperation fw) :
|
||||
base(nw, xmin.count(), xmax.count(), [fw](rep val) { return fw(Q(val)); }) {}
|
||||
|
||||
template<typename Generator>
|
||||
Quantity operator()(Generator& g) { return Quantity(Base::operator()(g)); }
|
||||
Q operator()(Generator& g) { return Q(base::operator()(g)); }
|
||||
|
||||
std::vector<Quantity> intervals() const
|
||||
std::vector<Q> intervals() const
|
||||
{
|
||||
std::vector<Rep> intervals_rep = Base::intervals();
|
||||
std::vector<Quantity> intervals_qty;
|
||||
std::vector<rep> intervals_rep = base::intervals();
|
||||
std::vector<Q> intervals_qty;
|
||||
intervals_qty.reserve(intervals_rep.size());
|
||||
for (const Rep& val : intervals_rep) { intervals_qty.push_back(Quantity(val)); }
|
||||
for (const rep& val : intervals_rep) { intervals_qty.push_back(Q(val)); }
|
||||
return intervals_qty;
|
||||
}
|
||||
|
||||
Quantity min() const { return Quantity(Base::min()); }
|
||||
Quantity max() const { return Quantity(Base::max()); }
|
||||
Q min() const { return Q(base::min()); }
|
||||
Q max() const { return Q(base::max()); }
|
||||
};
|
||||
|
||||
} // namespace units
|
||||
} // namespace units
|
||||
|
||||
@ -1,3 +1,25 @@
|
||||
// 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.
|
||||
|
||||
#include <numeric>
|
||||
#include <units/random.h>
|
||||
#include <units/physical/si/length.h>
|
||||
@ -8,120 +30,120 @@ using namespace units::physical::si;
|
||||
|
||||
TEST_CASE("uniform_int_distribution")
|
||||
{
|
||||
using Rep = std::int64_t;
|
||||
using Qty = length<metre, Rep>;
|
||||
using rep = std::int64_t;
|
||||
using q = length<metre, rep>;
|
||||
|
||||
SECTION("default")
|
||||
{
|
||||
auto dist = units::uniform_int_distribution<Qty>();
|
||||
auto dist = units::uniform_int_distribution<q>();
|
||||
|
||||
CHECK(dist.a() == Qty::zero());
|
||||
CHECK(dist.b() == Qty::max());
|
||||
CHECK(dist.a() == q::zero());
|
||||
CHECK(dist.b() == q::max());
|
||||
}
|
||||
|
||||
SECTION ("parametrized") {
|
||||
constexpr Rep a = 5;
|
||||
constexpr Rep b = 2;
|
||||
constexpr rep a = 5;
|
||||
constexpr rep b = 2;
|
||||
|
||||
auto stl_dist = std::uniform_int_distribution(a, b);
|
||||
auto units_dist = units::uniform_int_distribution(Qty(a), Qty(b));
|
||||
auto units_dist = units::uniform_int_distribution(q(a), q(b));
|
||||
|
||||
CHECK(units_dist.a() == Qty(stl_dist.a()));
|
||||
CHECK(units_dist.b() == Qty(stl_dist.b()));
|
||||
CHECK(units_dist.min() == Qty(stl_dist.min()));
|
||||
CHECK(units_dist.max() == Qty(stl_dist.max()));
|
||||
CHECK(units_dist.a() == q(stl_dist.a()));
|
||||
CHECK(units_dist.b() == q(stl_dist.b()));
|
||||
CHECK(units_dist.min() == q(stl_dist.min()));
|
||||
CHECK(units_dist.max() == q(stl_dist.max()));
|
||||
}
|
||||
}
|
||||
|
||||
TEST_CASE("uniform_real_distribution")
|
||||
{
|
||||
using Rep = long double;
|
||||
using Qty = length<metre, Rep>;
|
||||
using rep = long double;
|
||||
using q = length<metre, rep>;
|
||||
|
||||
SECTION("default")
|
||||
{
|
||||
auto dist = units::uniform_real_distribution<Qty>();
|
||||
auto dist = units::uniform_real_distribution<q>();
|
||||
|
||||
CHECK(dist.a() == Qty::zero());
|
||||
CHECK(dist.b() == Qty::one());
|
||||
CHECK(dist.a() == q::zero());
|
||||
CHECK(dist.b() == q::one());
|
||||
}
|
||||
|
||||
SECTION ("parametrized") {
|
||||
constexpr Rep a = 5.0;
|
||||
constexpr Rep b = 2.0;
|
||||
constexpr rep a = 5.0;
|
||||
constexpr rep b = 2.0;
|
||||
|
||||
auto stl_dist = std::uniform_real_distribution(a, b);
|
||||
auto units_dist = units::uniform_real_distribution(Qty(a), Qty(b));
|
||||
auto units_dist = units::uniform_real_distribution(q(a), q(b));
|
||||
|
||||
CHECK(units_dist.a() == Qty(stl_dist.a()));
|
||||
CHECK(units_dist.b() == Qty(stl_dist.b()));
|
||||
CHECK(units_dist.min() == Qty(stl_dist.min()));
|
||||
CHECK(units_dist.max() == Qty(stl_dist.max()));
|
||||
CHECK(units_dist.a() == q(stl_dist.a()));
|
||||
CHECK(units_dist.b() == q(stl_dist.b()));
|
||||
CHECK(units_dist.min() == q(stl_dist.min()));
|
||||
CHECK(units_dist.max() == q(stl_dist.max()));
|
||||
}
|
||||
}
|
||||
|
||||
TEST_CASE("binomial_distribution")
|
||||
{
|
||||
using Rep = std::int64_t;
|
||||
using Qty = length<metre, Rep>;
|
||||
using rep = std::int64_t;
|
||||
using q = length<metre, rep>;
|
||||
|
||||
SECTION("default")
|
||||
{
|
||||
auto dist = units::binomial_distribution<Qty>();
|
||||
auto dist = units::binomial_distribution<q>();
|
||||
|
||||
CHECK(dist.p() == 0.5);
|
||||
CHECK(dist.t() == Qty::one());
|
||||
CHECK(dist.t() == q::one());
|
||||
}
|
||||
|
||||
SECTION ("parametrized") {
|
||||
constexpr Rep t = 5;
|
||||
constexpr rep t = 5;
|
||||
constexpr double p = 0.25;
|
||||
|
||||
auto stl_dist = std::binomial_distribution(t, p);
|
||||
auto units_dist = units::binomial_distribution(Qty(t), p);
|
||||
auto units_dist = units::binomial_distribution(q(t), p);
|
||||
|
||||
CHECK(units_dist.p() == stl_dist.p());
|
||||
CHECK(units_dist.t() == Qty(stl_dist.t()));
|
||||
CHECK(units_dist.min() == Qty(stl_dist.min()));
|
||||
CHECK(units_dist.max() == Qty(stl_dist.max()));
|
||||
CHECK(units_dist.t() == q(stl_dist.t()));
|
||||
CHECK(units_dist.min() == q(stl_dist.min()));
|
||||
CHECK(units_dist.max() == q(stl_dist.max()));
|
||||
}
|
||||
}
|
||||
|
||||
TEST_CASE("negative_binomial_distribution")
|
||||
{
|
||||
using Rep = std::int64_t;
|
||||
using Qty = length<metre, Rep>;
|
||||
using rep = std::int64_t;
|
||||
using q = length<metre, rep>;
|
||||
|
||||
SECTION("default")
|
||||
{
|
||||
auto dist = units::negative_binomial_distribution<Qty>();
|
||||
auto dist = units::negative_binomial_distribution<q>();
|
||||
|
||||
CHECK(dist.p() == 0.5);
|
||||
CHECK(dist.k() == Qty::one());
|
||||
CHECK(dist.k() == q::one());
|
||||
}
|
||||
|
||||
SECTION ("parametrized") {
|
||||
constexpr Rep k = 5;
|
||||
constexpr rep k = 5;
|
||||
constexpr double p = 0.25;
|
||||
|
||||
auto stl_dist = std::negative_binomial_distribution(k, p);
|
||||
auto units_dist = units::negative_binomial_distribution(Qty(k), p);
|
||||
auto units_dist = units::negative_binomial_distribution(q(k), p);
|
||||
|
||||
CHECK(units_dist.p() == stl_dist.p());
|
||||
CHECK(units_dist.k() == Qty(stl_dist.k()));
|
||||
CHECK(units_dist.min() == Qty(stl_dist.min()));
|
||||
CHECK(units_dist.max() == Qty(stl_dist.max()));
|
||||
CHECK(units_dist.k() == q(stl_dist.k()));
|
||||
CHECK(units_dist.min() == q(stl_dist.min()));
|
||||
CHECK(units_dist.max() == q(stl_dist.max()));
|
||||
}
|
||||
}
|
||||
|
||||
TEST_CASE("geometric_distribution")
|
||||
{
|
||||
using Rep = std::int64_t;
|
||||
using Qty = length<metre, Rep>;
|
||||
using rep = std::int64_t;
|
||||
using q = length<metre, rep>;
|
||||
|
||||
SECTION("default")
|
||||
{
|
||||
auto dist = units::geometric_distribution<Qty>();
|
||||
auto dist = units::geometric_distribution<q>();
|
||||
|
||||
CHECK(dist.p() == 0.5);
|
||||
}
|
||||
@ -129,23 +151,23 @@ TEST_CASE("geometric_distribution")
|
||||
SECTION ("parametrized") {
|
||||
constexpr double p = 0.25;
|
||||
|
||||
auto stl_dist = std::geometric_distribution<Rep>(p);
|
||||
auto units_dist = units::geometric_distribution<Qty>(p);
|
||||
auto stl_dist = std::geometric_distribution<rep>(p);
|
||||
auto units_dist = units::geometric_distribution<q>(p);
|
||||
|
||||
CHECK(units_dist.p() == stl_dist.p());
|
||||
CHECK(units_dist.min() == Qty(stl_dist.min()));
|
||||
CHECK(units_dist.max() == Qty(stl_dist.max()));
|
||||
CHECK(units_dist.min() == q(stl_dist.min()));
|
||||
CHECK(units_dist.max() == q(stl_dist.max()));
|
||||
}
|
||||
}
|
||||
|
||||
TEST_CASE("poisson_distribution")
|
||||
{
|
||||
using Rep = std::int64_t;
|
||||
using Qty = length<metre, Rep>;
|
||||
using rep = std::int64_t;
|
||||
using q = length<metre, rep>;
|
||||
|
||||
SECTION("default")
|
||||
{
|
||||
auto dist = units::poisson_distribution<Qty>();
|
||||
auto dist = units::poisson_distribution<q>();
|
||||
|
||||
CHECK(dist.mean() == 1.0);
|
||||
}
|
||||
@ -153,23 +175,23 @@ TEST_CASE("poisson_distribution")
|
||||
SECTION ("parametrized") {
|
||||
constexpr double mean = 5.0;
|
||||
|
||||
auto stl_dist = std::poisson_distribution<Rep>(mean);
|
||||
auto units_dist = units::poisson_distribution<Qty>(mean);
|
||||
auto stl_dist = std::poisson_distribution<rep>(mean);
|
||||
auto units_dist = units::poisson_distribution<q>(mean);
|
||||
|
||||
CHECK(units_dist.mean() == stl_dist.mean());
|
||||
CHECK(units_dist.min() == Qty(stl_dist.min()));
|
||||
CHECK(units_dist.max() == Qty(stl_dist.max()));
|
||||
CHECK(units_dist.min() == q(stl_dist.min()));
|
||||
CHECK(units_dist.max() == q(stl_dist.max()));
|
||||
}
|
||||
}
|
||||
|
||||
TEST_CASE("exponential_distribution")
|
||||
{
|
||||
using Rep = long double;
|
||||
using Qty = length<metre, Rep>;
|
||||
using rep = long double;
|
||||
using q = length<metre, rep>;
|
||||
|
||||
SECTION("default")
|
||||
{
|
||||
auto dist = units::exponential_distribution<Qty>();
|
||||
auto dist = units::exponential_distribution<q>();
|
||||
|
||||
CHECK(dist.lambda() == 1.0);
|
||||
}
|
||||
@ -177,23 +199,23 @@ TEST_CASE("exponential_distribution")
|
||||
SECTION ("parametrized") {
|
||||
constexpr double lambda = 2.0;
|
||||
|
||||
auto stl_dist = std::exponential_distribution<Rep>(lambda);
|
||||
auto units_dist = units::exponential_distribution<Qty>(lambda);
|
||||
auto stl_dist = std::exponential_distribution<rep>(lambda);
|
||||
auto units_dist = units::exponential_distribution<q>(lambda);
|
||||
|
||||
CHECK(units_dist.lambda() == stl_dist.lambda());
|
||||
CHECK(units_dist.min() == Qty(stl_dist.min()));
|
||||
CHECK(units_dist.max() == Qty(stl_dist.max()));
|
||||
CHECK(units_dist.min() == q(stl_dist.min()));
|
||||
CHECK(units_dist.max() == q(stl_dist.max()));
|
||||
}
|
||||
}
|
||||
|
||||
TEST_CASE("gamma_distribution")
|
||||
{
|
||||
using Rep = long double;
|
||||
using Qty = length<metre, Rep>;
|
||||
using rep = long double;
|
||||
using q = length<metre, rep>;
|
||||
|
||||
SECTION("default")
|
||||
{
|
||||
auto dist = units::gamma_distribution<Qty>();
|
||||
auto dist = units::gamma_distribution<q>();
|
||||
|
||||
CHECK(dist.alpha() == 1.0);
|
||||
CHECK(dist.beta() == 1.0);
|
||||
@ -203,249 +225,249 @@ TEST_CASE("gamma_distribution")
|
||||
constexpr double alpha = 5.0;
|
||||
constexpr double beta = 2.0;
|
||||
|
||||
auto stl_dist = std::gamma_distribution<Rep>(alpha, beta);
|
||||
auto units_dist = units::gamma_distribution<Qty>(alpha, beta);
|
||||
auto stl_dist = std::gamma_distribution<rep>(alpha, beta);
|
||||
auto units_dist = units::gamma_distribution<q>(alpha, beta);
|
||||
|
||||
CHECK(units_dist.alpha() == stl_dist.alpha());
|
||||
CHECK(units_dist.beta() == stl_dist.beta());
|
||||
CHECK(units_dist.min() == Qty(stl_dist.min()));
|
||||
CHECK(units_dist.max() == Qty(stl_dist.max()));
|
||||
CHECK(units_dist.min() == q(stl_dist.min()));
|
||||
CHECK(units_dist.max() == q(stl_dist.max()));
|
||||
}
|
||||
}
|
||||
|
||||
TEST_CASE("weibull_distribution")
|
||||
{
|
||||
using Rep = long double;
|
||||
using Qty = length<metre, Rep>;
|
||||
using rep = long double;
|
||||
using q = length<metre, rep>;
|
||||
|
||||
SECTION("default")
|
||||
{
|
||||
auto dist = units::weibull_distribution<Qty>();
|
||||
auto dist = units::weibull_distribution<q>();
|
||||
|
||||
CHECK(dist.a() == 1.0);
|
||||
CHECK(dist.b() == 1.0);
|
||||
}
|
||||
|
||||
SECTION ("parametrized") {
|
||||
constexpr Rep a = 5.0;
|
||||
constexpr Rep b = 2.0;
|
||||
constexpr rep a = 5.0;
|
||||
constexpr rep b = 2.0;
|
||||
|
||||
auto stl_dist = std::weibull_distribution(a, b);
|
||||
auto units_dist = units::weibull_distribution<Qty>(a, b);
|
||||
auto units_dist = units::weibull_distribution<q>(a, b);
|
||||
|
||||
CHECK(units_dist.a() == stl_dist.a());
|
||||
CHECK(units_dist.b() == stl_dist.b());
|
||||
CHECK(units_dist.min() == Qty(stl_dist.min()));
|
||||
CHECK(units_dist.max() == Qty(stl_dist.max()));
|
||||
CHECK(units_dist.min() == q(stl_dist.min()));
|
||||
CHECK(units_dist.max() == q(stl_dist.max()));
|
||||
}
|
||||
}
|
||||
|
||||
TEST_CASE("extreme_value_distribution")
|
||||
{
|
||||
using Rep = long double;
|
||||
using Qty = length<metre, Rep>;
|
||||
using rep = long double;
|
||||
using q = length<metre, rep>;
|
||||
|
||||
SECTION("default")
|
||||
{
|
||||
auto dist = units::extreme_value_distribution<Qty>();
|
||||
auto dist = units::extreme_value_distribution<q>();
|
||||
|
||||
CHECK(dist.a() == Qty::zero());
|
||||
CHECK(dist.a() == q::zero());
|
||||
CHECK(dist.b() == 1.0);
|
||||
}
|
||||
|
||||
SECTION ("parametrized") {
|
||||
constexpr Rep a = 5.0;
|
||||
constexpr Rep b = 2.0;
|
||||
constexpr rep a = 5.0;
|
||||
constexpr rep b = 2.0;
|
||||
|
||||
auto stl_dist = std::extreme_value_distribution(a, b);
|
||||
auto units_dist = units::extreme_value_distribution<Qty>(Qty(a), b);
|
||||
auto units_dist = units::extreme_value_distribution<q>(q(a), b);
|
||||
|
||||
CHECK(units_dist.a() == Qty(stl_dist.a()));
|
||||
CHECK(units_dist.a() == q(stl_dist.a()));
|
||||
CHECK(units_dist.b() == stl_dist.b());
|
||||
CHECK(units_dist.min() == Qty(stl_dist.min()));
|
||||
CHECK(units_dist.max() == Qty(stl_dist.max()));
|
||||
CHECK(units_dist.min() == q(stl_dist.min()));
|
||||
CHECK(units_dist.max() == q(stl_dist.max()));
|
||||
}
|
||||
}
|
||||
|
||||
TEST_CASE("normal_distribution")
|
||||
{
|
||||
using Rep = long double;
|
||||
using Qty = length<metre, Rep>;
|
||||
using rep = long double;
|
||||
using q = length<metre, rep>;
|
||||
|
||||
SECTION("default")
|
||||
{
|
||||
auto dist = units::normal_distribution<Qty>();
|
||||
auto dist = units::normal_distribution<q>();
|
||||
|
||||
CHECK(dist.mean() == Qty::zero());
|
||||
CHECK(dist.stddev() == Qty::one());
|
||||
CHECK(dist.mean() == q::zero());
|
||||
CHECK(dist.stddev() == q::one());
|
||||
}
|
||||
|
||||
SECTION("parametrized")
|
||||
{
|
||||
constexpr Rep mean = 5.0;
|
||||
constexpr Rep stddev = 2.0;
|
||||
constexpr rep mean = 5.0;
|
||||
constexpr rep stddev = 2.0;
|
||||
|
||||
auto stl_dist = std::normal_distribution(mean, stddev);
|
||||
auto units_dist = units::normal_distribution(Qty(mean), Qty(stddev));
|
||||
auto units_dist = units::normal_distribution(q(mean), q(stddev));
|
||||
|
||||
CHECK(units_dist.mean() == Qty(stl_dist.mean()));
|
||||
CHECK(units_dist.stddev() == Qty(stl_dist.stddev()));
|
||||
CHECK(units_dist.min() == Qty(stl_dist.min()));
|
||||
CHECK(units_dist.max() == Qty(stl_dist.max()));
|
||||
CHECK(units_dist.mean() == q(stl_dist.mean()));
|
||||
CHECK(units_dist.stddev() == q(stl_dist.stddev()));
|
||||
CHECK(units_dist.min() == q(stl_dist.min()));
|
||||
CHECK(units_dist.max() == q(stl_dist.max()));
|
||||
}
|
||||
}
|
||||
|
||||
TEST_CASE("lognormal_distribution")
|
||||
{
|
||||
using Rep = long double;
|
||||
using Qty = length<metre, Rep>;
|
||||
using rep = long double;
|
||||
using q = length<metre, rep>;
|
||||
|
||||
SECTION("default")
|
||||
{
|
||||
auto dist = units::lognormal_distribution<Qty>();
|
||||
auto dist = units::lognormal_distribution<q>();
|
||||
|
||||
CHECK(dist.m() == Qty::zero());
|
||||
CHECK(dist.s() == Qty::one());
|
||||
CHECK(dist.m() == q::zero());
|
||||
CHECK(dist.s() == q::one());
|
||||
}
|
||||
|
||||
SECTION("parametrized")
|
||||
{
|
||||
constexpr Rep m = 5.0;
|
||||
constexpr Rep s = 2.0;
|
||||
constexpr rep m = 5.0;
|
||||
constexpr rep s = 2.0;
|
||||
|
||||
auto stl_dist = std::lognormal_distribution(m, s);
|
||||
auto units_dist = units::lognormal_distribution(Qty(m), Qty(s));
|
||||
auto units_dist = units::lognormal_distribution(q(m), q(s));
|
||||
|
||||
CHECK(units_dist.m() == Qty(stl_dist.m()));
|
||||
CHECK(units_dist.s() == Qty(stl_dist.s()));
|
||||
CHECK(units_dist.min() == Qty(stl_dist.min()));
|
||||
CHECK(units_dist.max() == Qty(stl_dist.max()));
|
||||
CHECK(units_dist.m() == q(stl_dist.m()));
|
||||
CHECK(units_dist.s() == q(stl_dist.s()));
|
||||
CHECK(units_dist.min() == q(stl_dist.min()));
|
||||
CHECK(units_dist.max() == q(stl_dist.max()));
|
||||
}
|
||||
}
|
||||
|
||||
TEST_CASE("chi_squared_distribution")
|
||||
{
|
||||
using Rep = long double;
|
||||
using Qty = length<metre, Rep>;
|
||||
using rep = long double;
|
||||
using q = length<metre, rep>;
|
||||
|
||||
SECTION("default")
|
||||
{
|
||||
auto dist = units::chi_squared_distribution<Qty>();
|
||||
auto dist = units::chi_squared_distribution<q>();
|
||||
|
||||
CHECK(dist.n() == 1.0);
|
||||
}
|
||||
|
||||
SECTION("parametrized")
|
||||
{
|
||||
constexpr Rep n = 5.0;
|
||||
constexpr rep n = 5.0;
|
||||
|
||||
auto stl_dist = std::chi_squared_distribution(n);
|
||||
auto units_dist = units::chi_squared_distribution<Qty>(n);
|
||||
auto units_dist = units::chi_squared_distribution<q>(n);
|
||||
|
||||
CHECK(units_dist.n() == stl_dist.n());
|
||||
CHECK(units_dist.min() == Qty(stl_dist.min()));
|
||||
CHECK(units_dist.max() == Qty(stl_dist.max()));
|
||||
CHECK(units_dist.min() == q(stl_dist.min()));
|
||||
CHECK(units_dist.max() == q(stl_dist.max()));
|
||||
}
|
||||
}
|
||||
|
||||
TEST_CASE("cauchy_distribution")
|
||||
{
|
||||
using Rep = long double;
|
||||
using Qty = length<metre, Rep>;
|
||||
using rep = long double;
|
||||
using q = length<metre, rep>;
|
||||
|
||||
SECTION("default")
|
||||
{
|
||||
auto dist = units::cauchy_distribution<Qty>();
|
||||
auto dist = units::cauchy_distribution<q>();
|
||||
|
||||
CHECK(dist.a() == Qty::zero());
|
||||
CHECK(dist.b() == Qty::one());
|
||||
CHECK(dist.a() == q::zero());
|
||||
CHECK(dist.b() == q::one());
|
||||
}
|
||||
|
||||
SECTION ("parametrized") {
|
||||
constexpr Rep a = 5.0;
|
||||
constexpr Rep b = 2.0;
|
||||
constexpr rep a = 5.0;
|
||||
constexpr rep b = 2.0;
|
||||
|
||||
auto stl_dist = std::cauchy_distribution(a, b);
|
||||
auto units_dist = units::cauchy_distribution(Qty(a), Qty(b));
|
||||
auto units_dist = units::cauchy_distribution(q(a), q(b));
|
||||
|
||||
CHECK(units_dist.a() == Qty(stl_dist.a()));
|
||||
CHECK(units_dist.b() == Qty(stl_dist.b()));
|
||||
CHECK(units_dist.min() == Qty(stl_dist.min()));
|
||||
CHECK(units_dist.max() == Qty(stl_dist.max()));
|
||||
CHECK(units_dist.a() == q(stl_dist.a()));
|
||||
CHECK(units_dist.b() == q(stl_dist.b()));
|
||||
CHECK(units_dist.min() == q(stl_dist.min()));
|
||||
CHECK(units_dist.max() == q(stl_dist.max()));
|
||||
}
|
||||
}
|
||||
|
||||
TEST_CASE("fisher_f_distribution")
|
||||
{
|
||||
using Rep = long double;
|
||||
using Qty = length<metre, Rep>;
|
||||
using rep = long double;
|
||||
using q = length<metre, rep>;
|
||||
|
||||
SECTION("default")
|
||||
{
|
||||
auto dist = units::fisher_f_distribution<Qty>();
|
||||
auto dist = units::fisher_f_distribution<q>();
|
||||
|
||||
CHECK(dist.m() == 1.0);
|
||||
CHECK(dist.n() == 1.0);
|
||||
}
|
||||
|
||||
SECTION ("parametrized") {
|
||||
constexpr Rep m = 5.0;
|
||||
constexpr Rep n = 2.0;
|
||||
constexpr rep m = 5.0;
|
||||
constexpr rep n = 2.0;
|
||||
|
||||
auto stl_dist = std::fisher_f_distribution<Rep>(m, n);
|
||||
auto units_dist = units::fisher_f_distribution<Qty>(m, n);
|
||||
auto stl_dist = std::fisher_f_distribution<rep>(m, n);
|
||||
auto units_dist = units::fisher_f_distribution<q>(m, n);
|
||||
|
||||
CHECK(units_dist.m() == stl_dist.m());
|
||||
CHECK(units_dist.n() == stl_dist.n());
|
||||
CHECK(units_dist.min() == Qty(stl_dist.min()));
|
||||
CHECK(units_dist.max() == Qty(stl_dist.max()));
|
||||
CHECK(units_dist.min() == q(stl_dist.min()));
|
||||
CHECK(units_dist.max() == q(stl_dist.max()));
|
||||
}
|
||||
}
|
||||
|
||||
TEST_CASE("student_t_distribution")
|
||||
{
|
||||
using Rep = long double;
|
||||
using Qty = length<metre, Rep>;
|
||||
using rep = long double;
|
||||
using q = length<metre, rep>;
|
||||
|
||||
SECTION("default")
|
||||
{
|
||||
auto dist = units::student_t_distribution<Qty>();
|
||||
auto dist = units::student_t_distribution<q>();
|
||||
|
||||
CHECK(dist.n() == 1.0);
|
||||
}
|
||||
|
||||
SECTION ("parametrized") {
|
||||
constexpr Rep n = 2.0;
|
||||
constexpr rep n = 2.0;
|
||||
|
||||
auto stl_dist = std::student_t_distribution<Rep>(n);
|
||||
auto units_dist = units::student_t_distribution<Qty>(n);
|
||||
auto stl_dist = std::student_t_distribution<rep>(n);
|
||||
auto units_dist = units::student_t_distribution<q>(n);
|
||||
|
||||
CHECK(units_dist.n() == stl_dist.n());
|
||||
CHECK(units_dist.min() == Qty(stl_dist.min()));
|
||||
CHECK(units_dist.max() == Qty(stl_dist.max()));
|
||||
CHECK(units_dist.min() == q(stl_dist.min()));
|
||||
CHECK(units_dist.max() == q(stl_dist.max()));
|
||||
}
|
||||
}
|
||||
|
||||
TEST_CASE("discrete_distribution")
|
||||
{
|
||||
using Rep = std::int64_t;
|
||||
using Qty = length<metre, Rep>;
|
||||
using rep = std::int64_t;
|
||||
using q = length<metre, rep>;
|
||||
|
||||
SECTION("default")
|
||||
{
|
||||
auto stl_dist = std::discrete_distribution<Rep>();
|
||||
auto units_dist = units::discrete_distribution<Qty>();
|
||||
auto stl_dist = std::discrete_distribution<rep>();
|
||||
auto units_dist = units::discrete_distribution<q>();
|
||||
|
||||
CHECK(units_dist.min() == Qty(stl_dist.min()));
|
||||
CHECK(units_dist.max() == Qty(stl_dist.max()));
|
||||
CHECK(units_dist.min() == q(stl_dist.min()));
|
||||
CHECK(units_dist.max() == q(stl_dist.max()));
|
||||
CHECK(units_dist.probabilities() == stl_dist.probabilities());
|
||||
}
|
||||
|
||||
SECTION ("parametrized_input_it") {
|
||||
constexpr std::array<double, 3> weights = {1.0, 2.0, 3.0};
|
||||
|
||||
auto stl_dist = std::discrete_distribution<Rep>(weights.cbegin(), weights.cend());
|
||||
auto units_dist = units::discrete_distribution<Qty>(weights.cbegin(), weights.cend());
|
||||
auto stl_dist = std::discrete_distribution<rep>(weights.cbegin(), weights.cend());
|
||||
auto units_dist = units::discrete_distribution<q>(weights.cbegin(), weights.cend());
|
||||
|
||||
CHECK(units_dist.probabilities() == stl_dist.probabilities());
|
||||
}
|
||||
@ -453,8 +475,8 @@ TEST_CASE("discrete_distribution")
|
||||
SECTION ("parametrized_initializer_list") {
|
||||
std::initializer_list<double> weights = {1.0, 2.0, 3.0};
|
||||
|
||||
auto stl_dist = std::discrete_distribution<Rep>(weights);
|
||||
auto units_dist = units::discrete_distribution<Qty>(weights);
|
||||
auto stl_dist = std::discrete_distribution<rep>(weights);
|
||||
auto units_dist = units::discrete_distribution<q>(weights);
|
||||
|
||||
CHECK(units_dist.probabilities() == stl_dist.probabilities());
|
||||
}
|
||||
@ -463,8 +485,8 @@ TEST_CASE("discrete_distribution")
|
||||
constexpr std::size_t count = 3;
|
||||
constexpr double xmin = 1, xmax = 3;
|
||||
|
||||
auto stl_dist = std::discrete_distribution<Rep>(count, xmin, xmax, [](double val) { return val; });
|
||||
auto units_dist = units::discrete_distribution<Qty>(count, xmin, xmax, [](double val) { return val; });
|
||||
auto stl_dist = std::discrete_distribution<rep>(count, xmin, xmax, [](double val) { return val; });
|
||||
auto units_dist = units::discrete_distribution<q>(count, xmin, xmax, [](double val) { return val; });
|
||||
|
||||
CHECK(units_dist.probabilities() == stl_dist.probabilities());
|
||||
}
|
||||
@ -472,19 +494,19 @@ TEST_CASE("discrete_distribution")
|
||||
|
||||
TEST_CASE("piecewise_constant_distribution")
|
||||
{
|
||||
using Rep = long double;
|
||||
using Qty = length<metre, Rep>;
|
||||
using rep = long double;
|
||||
using q = length<metre, rep>;
|
||||
|
||||
std::vector<Rep> intervals_rep_vec = {1.0, 2.0, 3.0};
|
||||
std::vector<Qty> intervals_qty_vec = {1.0q_m, 2.0q_m, 3.0q_m};
|
||||
std::vector<rep> intervals_rep_vec = {1.0, 2.0, 3.0};
|
||||
std::vector<q> intervals_qty_vec = {1.0q_m, 2.0q_m, 3.0q_m};
|
||||
|
||||
SECTION("default")
|
||||
{
|
||||
auto stl_dist = std::piecewise_constant_distribution<Rep>();
|
||||
auto units_dist = units::piecewise_constant_distribution<Qty>();
|
||||
auto stl_dist = std::piecewise_constant_distribution<rep>();
|
||||
auto units_dist = units::piecewise_constant_distribution<q>();
|
||||
|
||||
CHECK(units_dist.min() == Qty(stl_dist.min()));
|
||||
CHECK(units_dist.max() == Qty(stl_dist.max()));
|
||||
CHECK(units_dist.min() == q(stl_dist.min()));
|
||||
CHECK(units_dist.max() == q(stl_dist.max()));
|
||||
CHECK(stl_dist.intervals().size() == 2);
|
||||
CHECK(units_dist.intervals().size() == 2);
|
||||
CHECK(stl_dist.densities().size() == 1);
|
||||
@ -492,12 +514,12 @@ TEST_CASE("piecewise_constant_distribution")
|
||||
}
|
||||
|
||||
SECTION ("parametrized_input_it") {
|
||||
constexpr std::array<Rep, 3> intervals_rep = {1.0, 2.0, 3.0};
|
||||
constexpr std::array<Qty, 3> intervals_qty = {1.0q_m, 2.0q_m, 3.0q_m};
|
||||
constexpr std::array<Rep, 3> weights = {1.0, 2.0, 3.0};
|
||||
constexpr std::array<rep, 3> intervals_rep = {1.0, 2.0, 3.0};
|
||||
constexpr std::array<q, 3> intervals_qty = {1.0q_m, 2.0q_m, 3.0q_m};
|
||||
constexpr std::array<rep, 3> weights = {1.0, 2.0, 3.0};
|
||||
|
||||
auto stl_dist = std::piecewise_constant_distribution<Rep>(intervals_rep.cbegin(), intervals_rep.cend(), weights.cbegin());
|
||||
auto units_dist = units::piecewise_constant_distribution<Qty>(intervals_qty.cbegin(), intervals_qty.cend(), weights.cbegin());
|
||||
auto stl_dist = std::piecewise_constant_distribution<rep>(intervals_rep.cbegin(), intervals_rep.cend(), weights.cbegin());
|
||||
auto units_dist = units::piecewise_constant_distribution<q>(intervals_qty.cbegin(), intervals_qty.cend(), weights.cbegin());
|
||||
|
||||
CHECK(stl_dist.intervals() == intervals_rep_vec);
|
||||
CHECK(units_dist.intervals() == intervals_qty_vec);
|
||||
@ -505,11 +527,11 @@ TEST_CASE("piecewise_constant_distribution")
|
||||
}
|
||||
|
||||
SECTION ("parametrized_initializer_list") {
|
||||
std::initializer_list<Rep> intervals_rep = {1.0, 2.0, 3.0};
|
||||
std::initializer_list<Qty> intervals_qty = {1.0q_m, 2.0q_m, 3.0q_m};
|
||||
std::initializer_list<rep> intervals_rep = {1.0, 2.0, 3.0};
|
||||
std::initializer_list<q> intervals_qty = {1.0q_m, 2.0q_m, 3.0q_m};
|
||||
|
||||
auto stl_dist = std::piecewise_constant_distribution<Rep>(intervals_rep, [](Rep val) { return val; });
|
||||
auto units_dist = units::piecewise_constant_distribution<Qty>(intervals_qty, [](Qty qty) { return qty.count(); });
|
||||
auto stl_dist = std::piecewise_constant_distribution<rep>(intervals_rep, [](rep val) { return val; });
|
||||
auto units_dist = units::piecewise_constant_distribution<q>(intervals_qty, [](q qty) { return qty.count(); });
|
||||
|
||||
CHECK(units_dist.intervals() == intervals_qty_vec);
|
||||
CHECK(units_dist.densities() == stl_dist.densities());
|
||||
@ -517,11 +539,11 @@ TEST_CASE("piecewise_constant_distribution")
|
||||
|
||||
SECTION ("parametrized_range") {
|
||||
constexpr std::size_t nw = 2;
|
||||
constexpr Rep xmin_rep = 1.0, xmax_rep = 3.0;
|
||||
constexpr Qty xmin_qty = 1.0q_m, xmax_qty = 3.0q_m;
|
||||
constexpr rep xmin_rep = 1.0, xmax_rep = 3.0;
|
||||
constexpr q xmin_qty = 1.0q_m, xmax_qty = 3.0q_m;
|
||||
|
||||
auto stl_dist = std::piecewise_constant_distribution<Rep>(nw, xmin_rep, xmax_rep, [](Rep val) { return val; });
|
||||
auto units_dist = units::piecewise_constant_distribution<Qty>(nw, xmin_qty, xmax_qty, [](Qty qty) { return qty.count(); });
|
||||
auto stl_dist = std::piecewise_constant_distribution<rep>(nw, xmin_rep, xmax_rep, [](rep val) { return val; });
|
||||
auto units_dist = units::piecewise_constant_distribution<q>(nw, xmin_qty, xmax_qty, [](q qty) { return qty.count(); });
|
||||
|
||||
CHECK(units_dist.intervals() == intervals_qty_vec);
|
||||
CHECK(units_dist.densities() == stl_dist.densities());
|
||||
@ -530,19 +552,19 @@ TEST_CASE("piecewise_constant_distribution")
|
||||
|
||||
TEST_CASE("piecewise_linear_distribution")
|
||||
{
|
||||
using Rep = long double;
|
||||
using Qty = length<metre, Rep>;
|
||||
using rep = long double;
|
||||
using q = length<metre, rep>;
|
||||
|
||||
std::vector<Rep> intervals_rep_vec = {1.0, 2.0, 3.0};
|
||||
std::vector<Qty> intervals_qty_vec = {1.0q_m, 2.0q_m, 3.0q_m};
|
||||
std::vector<rep> intervals_rep_vec = {1.0, 2.0, 3.0};
|
||||
std::vector<q> intervals_qty_vec = {1.0q_m, 2.0q_m, 3.0q_m};
|
||||
|
||||
SECTION("default")
|
||||
{
|
||||
auto stl_dist = std::piecewise_linear_distribution<Rep>();
|
||||
auto units_dist = units::piecewise_linear_distribution<Qty>();
|
||||
auto stl_dist = std::piecewise_linear_distribution<rep>();
|
||||
auto units_dist = units::piecewise_linear_distribution<q>();
|
||||
|
||||
CHECK(units_dist.min() == Qty(stl_dist.min()));
|
||||
CHECK(units_dist.max() == Qty(stl_dist.max()));
|
||||
CHECK(units_dist.min() == q(stl_dist.min()));
|
||||
CHECK(units_dist.max() == q(stl_dist.max()));
|
||||
CHECK(stl_dist.intervals().size() == 2);
|
||||
CHECK(units_dist.intervals().size() == 2);
|
||||
CHECK(stl_dist.densities().size() == 2);
|
||||
@ -550,12 +572,12 @@ TEST_CASE("piecewise_linear_distribution")
|
||||
}
|
||||
|
||||
SECTION ("parametrized_input_it") {
|
||||
constexpr std::array<Rep, 3> intervals_rep = {1.0, 2.0, 3.0};
|
||||
constexpr std::array<Qty, 3> intervals_qty = {1.0q_m, 2.0q_m, 3.0q_m};
|
||||
constexpr std::array<Rep, 3> weights = {1.0, 2.0, 3.0};
|
||||
constexpr std::array<rep, 3> intervals_rep = {1.0, 2.0, 3.0};
|
||||
constexpr std::array<q, 3> intervals_qty = {1.0q_m, 2.0q_m, 3.0q_m};
|
||||
constexpr std::array<rep, 3> weights = {1.0, 2.0, 3.0};
|
||||
|
||||
auto stl_dist = std::piecewise_linear_distribution<Rep>(intervals_rep.cbegin(), intervals_rep.cend(), weights.cbegin());
|
||||
auto units_dist = units::piecewise_linear_distribution<Qty>(intervals_qty.cbegin(), intervals_qty.cend(), weights.cbegin());
|
||||
auto stl_dist = std::piecewise_linear_distribution<rep>(intervals_rep.cbegin(), intervals_rep.cend(), weights.cbegin());
|
||||
auto units_dist = units::piecewise_linear_distribution<q>(intervals_qty.cbegin(), intervals_qty.cend(), weights.cbegin());
|
||||
|
||||
CHECK(stl_dist.intervals() == intervals_rep_vec);
|
||||
CHECK(units_dist.intervals() == intervals_qty_vec);
|
||||
@ -563,11 +585,11 @@ TEST_CASE("piecewise_linear_distribution")
|
||||
}
|
||||
|
||||
SECTION ("parametrized_initializer_list") {
|
||||
std::initializer_list<Rep> intervals_rep = {1.0, 2.0, 3.0};
|
||||
std::initializer_list<Qty> intervals_qty = {1.0q_m, 2.0q_m, 3.0q_m};
|
||||
std::initializer_list<rep> intervals_rep = {1.0, 2.0, 3.0};
|
||||
std::initializer_list<q> intervals_qty = {1.0q_m, 2.0q_m, 3.0q_m};
|
||||
|
||||
auto stl_dist = std::piecewise_linear_distribution<Rep>(intervals_rep, [](Rep val) { return val; });
|
||||
auto units_dist = units::piecewise_linear_distribution<Qty>(intervals_qty, [](Qty qty) { return qty.count(); });
|
||||
auto stl_dist = std::piecewise_linear_distribution<rep>(intervals_rep, [](rep val) { return val; });
|
||||
auto units_dist = units::piecewise_linear_distribution<q>(intervals_qty, [](q qty) { return qty.count(); });
|
||||
|
||||
CHECK(units_dist.intervals() == intervals_qty_vec);
|
||||
CHECK(units_dist.densities() == stl_dist.densities());
|
||||
@ -575,11 +597,11 @@ TEST_CASE("piecewise_linear_distribution")
|
||||
|
||||
SECTION ("parametrized_range") {
|
||||
constexpr std::size_t nw = 2;
|
||||
constexpr Rep xmin_rep = 1.0, xmax_rep = 3.0;
|
||||
constexpr Qty xmin_qty = 1.0q_m, xmax_qty = 3.0q_m;
|
||||
constexpr rep xmin_rep = 1.0, xmax_rep = 3.0;
|
||||
constexpr q xmin_qty = 1.0q_m, xmax_qty = 3.0q_m;
|
||||
|
||||
auto stl_dist = std::piecewise_linear_distribution<Rep>(nw, xmin_rep, xmax_rep, [](Rep val) { return val; });
|
||||
auto units_dist = units::piecewise_linear_distribution<Qty>(nw, xmin_qty, xmax_qty, [](Qty qty) { return qty.count(); });
|
||||
auto stl_dist = std::piecewise_linear_distribution<rep>(nw, xmin_rep, xmax_rep, [](rep val) { return val; });
|
||||
auto units_dist = units::piecewise_linear_distribution<q>(nw, xmin_qty, xmax_qty, [](q qty) { return qty.count(); });
|
||||
|
||||
CHECK(units_dist.intervals() == intervals_qty_vec);
|
||||
CHECK(units_dist.densities() == stl_dist.densities());
|
||||
|
||||
Reference in New Issue
Block a user