forked from mpusz/mp-units
Mateusz Pusz
9527b39005
We had some fun exploring the STD UDLs for potential collisions, we have learnt our lesson and know how to proceed. Now is high time to start behaving and obeying C++ rules.
610 lines
18 KiB
C++
610 lines
18 KiB
C++
// 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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#include <numeric>
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#include <units/random.h>
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#include <units/physical/si/length.h>
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#include <catch2/catch.hpp>
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using namespace units;
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using namespace units::physical::si;
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TEST_CASE("uniform_int_distribution")
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{
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using rep = std::int64_t;
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using q = length<metre, rep>;
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SECTION("default")
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{
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auto dist = units::uniform_int_distribution<q>();
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CHECK(dist.a() == q::zero());
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CHECK(dist.b() == q::max());
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}
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SECTION ("parametrized") {
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constexpr rep a = 5;
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constexpr rep b = 2;
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auto stl_dist = std::uniform_int_distribution(a, b);
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auto units_dist = units::uniform_int_distribution(q(a), q(b));
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CHECK(units_dist.a() == q(stl_dist.a()));
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CHECK(units_dist.b() == q(stl_dist.b()));
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CHECK(units_dist.min() == q(stl_dist.min()));
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CHECK(units_dist.max() == q(stl_dist.max()));
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}
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}
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TEST_CASE("uniform_real_distribution")
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{
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using rep = long double;
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using q = length<metre, rep>;
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SECTION("default")
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{
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auto dist = units::uniform_real_distribution<q>();
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CHECK(dist.a() == q::zero());
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CHECK(dist.b() == q::one());
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}
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SECTION ("parametrized") {
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constexpr rep a = 5.0;
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constexpr rep b = 2.0;
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auto stl_dist = std::uniform_real_distribution(a, b);
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auto units_dist = units::uniform_real_distribution(q(a), q(b));
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CHECK(units_dist.a() == q(stl_dist.a()));
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CHECK(units_dist.b() == q(stl_dist.b()));
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CHECK(units_dist.min() == q(stl_dist.min()));
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CHECK(units_dist.max() == q(stl_dist.max()));
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}
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}
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TEST_CASE("binomial_distribution")
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{
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using rep = std::int64_t;
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using q = length<metre, rep>;
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SECTION("default")
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{
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auto dist = units::binomial_distribution<q>();
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CHECK(dist.p() == 0.5);
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CHECK(dist.t() == q::one());
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}
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SECTION ("parametrized") {
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constexpr rep t = 5;
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constexpr double p = 0.25;
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auto stl_dist = std::binomial_distribution(t, p);
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auto units_dist = units::binomial_distribution(q(t), p);
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CHECK(units_dist.p() == stl_dist.p());
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CHECK(units_dist.t() == q(stl_dist.t()));
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CHECK(units_dist.min() == q(stl_dist.min()));
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CHECK(units_dist.max() == q(stl_dist.max()));
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}
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}
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TEST_CASE("negative_binomial_distribution")
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{
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using rep = std::int64_t;
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using q = length<metre, rep>;
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SECTION("default")
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{
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auto dist = units::negative_binomial_distribution<q>();
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CHECK(dist.p() == 0.5);
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CHECK(dist.k() == q::one());
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}
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SECTION ("parametrized") {
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constexpr rep k = 5;
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constexpr double p = 0.25;
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auto stl_dist = std::negative_binomial_distribution(k, p);
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auto units_dist = units::negative_binomial_distribution(q(k), p);
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CHECK(units_dist.p() == stl_dist.p());
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CHECK(units_dist.k() == q(stl_dist.k()));
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CHECK(units_dist.min() == q(stl_dist.min()));
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CHECK(units_dist.max() == q(stl_dist.max()));
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}
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}
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TEST_CASE("geometric_distribution")
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{
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using rep = std::int64_t;
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using q = length<metre, rep>;
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SECTION("default")
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{
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auto dist = units::geometric_distribution<q>();
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CHECK(dist.p() == 0.5);
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}
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SECTION ("parametrized") {
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constexpr double p = 0.25;
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auto stl_dist = std::geometric_distribution<rep>(p);
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auto units_dist = units::geometric_distribution<q>(p);
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CHECK(units_dist.p() == stl_dist.p());
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CHECK(units_dist.min() == q(stl_dist.min()));
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CHECK(units_dist.max() == q(stl_dist.max()));
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}
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}
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TEST_CASE("poisson_distribution")
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{
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using rep = std::int64_t;
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using q = length<metre, rep>;
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SECTION("default")
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{
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auto dist = units::poisson_distribution<q>();
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CHECK(dist.mean() == 1.0);
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}
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SECTION ("parametrized") {
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constexpr double mean = 5.0;
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auto stl_dist = std::poisson_distribution<rep>(mean);
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auto units_dist = units::poisson_distribution<q>(mean);
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CHECK(units_dist.mean() == stl_dist.mean());
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CHECK(units_dist.min() == q(stl_dist.min()));
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CHECK(units_dist.max() == q(stl_dist.max()));
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}
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}
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TEST_CASE("exponential_distribution")
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{
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using rep = long double;
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using q = length<metre, rep>;
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SECTION("default")
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{
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auto dist = units::exponential_distribution<q>();
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CHECK(dist.lambda() == 1.0);
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}
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SECTION ("parametrized") {
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constexpr double lambda = 2.0;
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auto stl_dist = std::exponential_distribution<rep>(lambda);
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auto units_dist = units::exponential_distribution<q>(lambda);
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CHECK(units_dist.lambda() == stl_dist.lambda());
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CHECK(units_dist.min() == q(stl_dist.min()));
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CHECK(units_dist.max() == q(stl_dist.max()));
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}
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}
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TEST_CASE("gamma_distribution")
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{
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using rep = long double;
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using q = length<metre, rep>;
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SECTION("default")
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{
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auto dist = units::gamma_distribution<q>();
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CHECK(dist.alpha() == 1.0);
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CHECK(dist.beta() == 1.0);
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}
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SECTION ("parametrized") {
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constexpr double alpha = 5.0;
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constexpr double beta = 2.0;
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auto stl_dist = std::gamma_distribution<rep>(alpha, beta);
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auto units_dist = units::gamma_distribution<q>(alpha, beta);
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CHECK(units_dist.alpha() == stl_dist.alpha());
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CHECK(units_dist.beta() == stl_dist.beta());
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CHECK(units_dist.min() == q(stl_dist.min()));
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CHECK(units_dist.max() == q(stl_dist.max()));
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}
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}
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TEST_CASE("weibull_distribution")
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{
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using rep = long double;
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using q = length<metre, rep>;
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SECTION("default")
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{
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auto dist = units::weibull_distribution<q>();
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CHECK(dist.a() == 1.0);
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CHECK(dist.b() == 1.0);
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}
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SECTION ("parametrized") {
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constexpr rep a = 5.0;
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constexpr rep b = 2.0;
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auto stl_dist = std::weibull_distribution(a, b);
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auto units_dist = units::weibull_distribution<q>(a, b);
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CHECK(units_dist.a() == stl_dist.a());
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CHECK(units_dist.b() == stl_dist.b());
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CHECK(units_dist.min() == q(stl_dist.min()));
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CHECK(units_dist.max() == q(stl_dist.max()));
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}
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}
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TEST_CASE("extreme_value_distribution")
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{
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using rep = long double;
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using q = length<metre, rep>;
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SECTION("default")
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{
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auto dist = units::extreme_value_distribution<q>();
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CHECK(dist.a() == q::zero());
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CHECK(dist.b() == 1.0);
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}
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SECTION ("parametrized") {
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constexpr rep a = 5.0;
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constexpr rep b = 2.0;
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auto stl_dist = std::extreme_value_distribution(a, b);
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auto units_dist = units::extreme_value_distribution<q>(q(a), b);
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CHECK(units_dist.a() == q(stl_dist.a()));
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CHECK(units_dist.b() == stl_dist.b());
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CHECK(units_dist.min() == q(stl_dist.min()));
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CHECK(units_dist.max() == q(stl_dist.max()));
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}
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}
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TEST_CASE("normal_distribution")
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{
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using rep = long double;
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using q = length<metre, rep>;
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SECTION("default")
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{
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auto dist = units::normal_distribution<q>();
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CHECK(dist.mean() == q::zero());
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CHECK(dist.stddev() == q::one());
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}
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SECTION("parametrized")
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{
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constexpr rep mean = 5.0;
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constexpr rep stddev = 2.0;
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auto stl_dist = std::normal_distribution(mean, stddev);
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auto units_dist = units::normal_distribution(q(mean), q(stddev));
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CHECK(units_dist.mean() == q(stl_dist.mean()));
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CHECK(units_dist.stddev() == q(stl_dist.stddev()));
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CHECK(units_dist.min() == q(stl_dist.min()));
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CHECK(units_dist.max() == q(stl_dist.max()));
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}
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}
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TEST_CASE("lognormal_distribution")
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{
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using rep = long double;
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using q = length<metre, rep>;
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SECTION("default")
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{
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auto dist = units::lognormal_distribution<q>();
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CHECK(dist.m() == q::zero());
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CHECK(dist.s() == q::one());
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}
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SECTION("parametrized")
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{
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constexpr rep m = 5.0;
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constexpr rep s = 2.0;
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auto stl_dist = std::lognormal_distribution(m, s);
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auto units_dist = units::lognormal_distribution(q(m), q(s));
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CHECK(units_dist.m() == q(stl_dist.m()));
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CHECK(units_dist.s() == q(stl_dist.s()));
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CHECK(units_dist.min() == q(stl_dist.min()));
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CHECK(units_dist.max() == q(stl_dist.max()));
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}
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}
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TEST_CASE("chi_squared_distribution")
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{
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using rep = long double;
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using q = length<metre, rep>;
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SECTION("default")
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{
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auto dist = units::chi_squared_distribution<q>();
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CHECK(dist.n() == 1.0);
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}
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SECTION("parametrized")
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{
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constexpr rep n = 5.0;
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auto stl_dist = std::chi_squared_distribution(n);
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auto units_dist = units::chi_squared_distribution<q>(n);
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CHECK(units_dist.n() == stl_dist.n());
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CHECK(units_dist.min() == q(stl_dist.min()));
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CHECK(units_dist.max() == q(stl_dist.max()));
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}
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}
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TEST_CASE("cauchy_distribution")
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{
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using rep = long double;
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using q = length<metre, rep>;
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SECTION("default")
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{
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auto dist = units::cauchy_distribution<q>();
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CHECK(dist.a() == q::zero());
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CHECK(dist.b() == q::one());
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}
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SECTION ("parametrized") {
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constexpr rep a = 5.0;
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constexpr rep b = 2.0;
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auto stl_dist = std::cauchy_distribution(a, b);
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auto units_dist = units::cauchy_distribution(q(a), q(b));
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CHECK(units_dist.a() == q(stl_dist.a()));
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CHECK(units_dist.b() == q(stl_dist.b()));
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CHECK(units_dist.min() == q(stl_dist.min()));
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CHECK(units_dist.max() == q(stl_dist.max()));
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}
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}
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TEST_CASE("fisher_f_distribution")
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{
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using rep = long double;
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using q = length<metre, rep>;
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SECTION("default")
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{
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auto dist = units::fisher_f_distribution<q>();
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CHECK(dist.m() == 1.0);
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CHECK(dist.n() == 1.0);
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}
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SECTION ("parametrized") {
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constexpr rep m = 5.0;
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constexpr rep n = 2.0;
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auto stl_dist = std::fisher_f_distribution<rep>(m, n);
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auto units_dist = units::fisher_f_distribution<q>(m, n);
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CHECK(units_dist.m() == stl_dist.m());
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CHECK(units_dist.n() == stl_dist.n());
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CHECK(units_dist.min() == q(stl_dist.min()));
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CHECK(units_dist.max() == q(stl_dist.max()));
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}
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}
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TEST_CASE("student_t_distribution")
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{
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using rep = long double;
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using q = length<metre, rep>;
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SECTION("default")
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{
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auto dist = units::student_t_distribution<q>();
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CHECK(dist.n() == 1.0);
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}
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SECTION ("parametrized") {
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constexpr rep n = 2.0;
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auto stl_dist = std::student_t_distribution<rep>(n);
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auto units_dist = units::student_t_distribution<q>(n);
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CHECK(units_dist.n() == stl_dist.n());
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CHECK(units_dist.min() == q(stl_dist.min()));
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CHECK(units_dist.max() == q(stl_dist.max()));
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}
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}
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TEST_CASE("discrete_distribution")
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{
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using rep = std::int64_t;
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using q = length<metre, rep>;
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SECTION("default")
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{
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auto stl_dist = std::discrete_distribution<rep>();
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auto units_dist = units::discrete_distribution<q>();
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CHECK(units_dist.min() == q(stl_dist.min()));
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CHECK(units_dist.max() == q(stl_dist.max()));
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CHECK(units_dist.probabilities() == stl_dist.probabilities());
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}
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SECTION ("parametrized_input_it") {
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constexpr std::array<double, 3> weights = {1.0, 2.0, 3.0};
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auto stl_dist = std::discrete_distribution<rep>(weights.cbegin(), weights.cend());
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auto units_dist = units::discrete_distribution<q>(weights.cbegin(), weights.cend());
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CHECK(units_dist.probabilities() == stl_dist.probabilities());
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}
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SECTION ("parametrized_initializer_list") {
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std::initializer_list<double> weights = {1.0, 2.0, 3.0};
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auto stl_dist = std::discrete_distribution<rep>(weights);
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auto units_dist = units::discrete_distribution<q>(weights);
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CHECK(units_dist.probabilities() == stl_dist.probabilities());
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}
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SECTION ("parametrized_range") {
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constexpr std::size_t count = 3;
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constexpr double xmin = 1, xmax = 3;
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auto stl_dist = std::discrete_distribution<rep>(count, xmin, xmax, [](double val) { return val; });
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auto units_dist = units::discrete_distribution<q>(count, xmin, xmax, [](double val) { return val; });
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CHECK(units_dist.probabilities() == stl_dist.probabilities());
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}
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}
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TEST_CASE("piecewise_constant_distribution")
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{
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using rep = long double;
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using q = length<metre, rep>;
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std::vector<rep> intervals_rep_vec = {1.0, 2.0, 3.0};
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std::vector<q> intervals_qty_vec = {1.0_q_m, 2.0_q_m, 3.0_q_m};
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SECTION("default")
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{
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auto stl_dist = std::piecewise_constant_distribution<rep>();
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auto units_dist = units::piecewise_constant_distribution<q>();
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CHECK(units_dist.min() == q(stl_dist.min()));
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CHECK(units_dist.max() == q(stl_dist.max()));
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CHECK(stl_dist.intervals().size() == 2);
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CHECK(units_dist.intervals().size() == 2);
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CHECK(stl_dist.densities().size() == 1);
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CHECK(units_dist.densities().size() == 1);
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}
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SECTION ("parametrized_input_it") {
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constexpr std::array<rep, 3> intervals_rep = {1.0, 2.0, 3.0};
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constexpr std::array<q, 3> intervals_qty = {1.0_q_m, 2.0_q_m, 3.0_q_m};
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constexpr std::array<rep, 3> weights = {1.0, 2.0, 3.0};
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auto stl_dist = std::piecewise_constant_distribution<rep>(intervals_rep.cbegin(), intervals_rep.cend(), weights.cbegin());
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auto units_dist = units::piecewise_constant_distribution<q>(intervals_qty.cbegin(), intervals_qty.cend(), weights.cbegin());
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CHECK(stl_dist.intervals() == intervals_rep_vec);
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CHECK(units_dist.intervals() == intervals_qty_vec);
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CHECK(units_dist.densities() == stl_dist.densities());
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}
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SECTION ("parametrized_initializer_list") {
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std::initializer_list<rep> intervals_rep = {1.0, 2.0, 3.0};
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std::initializer_list<q> intervals_qty = {1.0_q_m, 2.0_q_m, 3.0_q_m};
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auto stl_dist = std::piecewise_constant_distribution<rep>(intervals_rep, [](rep val) { return val; });
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auto units_dist = units::piecewise_constant_distribution<q>(intervals_qty, [](q qty) { return qty.count(); });
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CHECK(units_dist.intervals() == intervals_qty_vec);
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CHECK(units_dist.densities() == stl_dist.densities());
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}
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SECTION ("parametrized_range") {
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constexpr std::size_t nw = 2;
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constexpr rep xmin_rep = 1.0, xmax_rep = 3.0;
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constexpr q xmin_qty = 1.0_q_m, xmax_qty = 3.0_q_m;
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|
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auto stl_dist = std::piecewise_constant_distribution<rep>(nw, xmin_rep, xmax_rep, [](rep val) { return val; });
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auto units_dist = units::piecewise_constant_distribution<q>(nw, xmin_qty, xmax_qty, [](q qty) { return qty.count(); });
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|
|
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CHECK(units_dist.intervals() == intervals_qty_vec);
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CHECK(units_dist.densities() == stl_dist.densities());
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}
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}
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|
|
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TEST_CASE("piecewise_linear_distribution")
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{
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using rep = long double;
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using q = length<metre, rep>;
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|
|
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std::vector<rep> intervals_rep_vec = {1.0, 2.0, 3.0};
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std::vector<q> intervals_qty_vec = {1.0_q_m, 2.0_q_m, 3.0_q_m};
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|
|
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SECTION("default")
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|
{
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auto stl_dist = std::piecewise_linear_distribution<rep>();
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auto units_dist = units::piecewise_linear_distribution<q>();
|
|
|
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CHECK(units_dist.min() == q(stl_dist.min()));
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CHECK(units_dist.max() == q(stl_dist.max()));
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|
CHECK(stl_dist.intervals().size() == 2);
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|
CHECK(units_dist.intervals().size() == 2);
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|
CHECK(stl_dist.densities().size() == 2);
|
|
CHECK(units_dist.densities().size() == 2);
|
|
}
|
|
|
|
SECTION ("parametrized_input_it") {
|
|
constexpr std::array<rep, 3> intervals_rep = {1.0, 2.0, 3.0};
|
|
constexpr std::array<q, 3> intervals_qty = {1.0_q_m, 2.0_q_m, 3.0_q_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<q>(intervals_qty.cbegin(), intervals_qty.cend(), weights.cbegin());
|
|
|
|
CHECK(stl_dist.intervals() == intervals_rep_vec);
|
|
CHECK(units_dist.intervals() == intervals_qty_vec);
|
|
CHECK(units_dist.densities() == stl_dist.densities());
|
|
}
|
|
|
|
SECTION ("parametrized_initializer_list") {
|
|
std::initializer_list<rep> intervals_rep = {1.0, 2.0, 3.0};
|
|
std::initializer_list<q> intervals_qty = {1.0_q_m, 2.0_q_m, 3.0_q_m};
|
|
|
|
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());
|
|
}
|
|
|
|
SECTION ("parametrized_range") {
|
|
constexpr std::size_t nw = 2;
|
|
constexpr rep xmin_rep = 1.0, xmax_rep = 3.0;
|
|
constexpr q xmin_qty = 1.0_q_m, xmax_qty = 3.0_q_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<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());
|
|
}
|
|
}
|