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style: all files refromatted with clang-format

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This commit is contained in:
Mateusz Pusz
2022-03-17 23:59:48 +01:00
parent cc90985958
commit 144f6951c0
143 changed files with 5845 additions and 3563 deletions
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test/unit_test/runtime/distribution_test.cpp
+186 -158
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@@ -20,10 +20,10 @@
// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
// SOFTWARE.
#include <units/random.h>
#include <units/isq/si/length.h>
#include <array>
#include <catch2/catch.hpp>
#include <units/isq/si/length.h>
#include <units/random.h>
#include <array>
#include <initializer_list>
#include <random>
#include <vector>
@@ -39,16 +39,17 @@ TEST_CASE("uniform_int_distribution")
SECTION("default")
{
auto dist = units::uniform_int_distribution<q>();
CHECK(dist.a() == q::zero());
CHECK(dist.b() == q::max());
auto dist = units::uniform_int_distribution<q>();
CHECK(dist.a() == q::zero());
CHECK(dist.b() == q::max());
}
SECTION ("parametrized") {
SECTION("parametrized")
{
constexpr rep a = 2;
constexpr rep b = 5;
auto stl_dist = std::uniform_int_distribution(a, b);
auto units_dist = units::uniform_int_distribution(q(a), q(b));
@@ -66,16 +67,17 @@ TEST_CASE("uniform_real_distribution")
SECTION("default")
{
auto dist = units::uniform_real_distribution<q>();
CHECK(dist.a() == q::zero());
CHECK(dist.b() == q::one());
auto dist = units::uniform_real_distribution<q>();
CHECK(dist.a() == q::zero());
CHECK(dist.b() == q::one());
}
SECTION ("parametrized") {
SECTION("parametrized")
{
constexpr rep a = 2.0;
constexpr rep b = 5.0;
auto stl_dist = std::uniform_real_distribution(a, b);
auto units_dist = units::uniform_real_distribution(q(a), q(b));
@@ -93,16 +95,17 @@ TEST_CASE("binomial_distribution")
SECTION("default")
{
auto dist = units::binomial_distribution<q>();
CHECK(dist.p() == 0.5);
CHECK(dist.t() == q::one());
auto dist = units::binomial_distribution<q>();
CHECK(dist.p() == 0.5);
CHECK(dist.t() == q::one());
}
SECTION ("parametrized") {
SECTION("parametrized")
{
constexpr rep t = 5;
constexpr double p = 0.25;
auto stl_dist = std::binomial_distribution(t, p);
auto units_dist = units::binomial_distribution(q(t), p);
@@ -120,16 +123,17 @@ TEST_CASE("negative_binomial_distribution")
SECTION("default")
{
auto dist = units::negative_binomial_distribution<q>();
CHECK(dist.p() == 0.5);
CHECK(dist.k() == q::one());
auto dist = units::negative_binomial_distribution<q>();
CHECK(dist.p() == 0.5);
CHECK(dist.k() == q::one());
}
SECTION ("parametrized") {
SECTION("parametrized")
{
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(q(k), p);
@@ -147,14 +151,15 @@ TEST_CASE("geometric_distribution")
SECTION("default")
{
auto dist = units::geometric_distribution<q>();
CHECK(dist.p() == 0.5);
auto dist = units::geometric_distribution<q>();
CHECK(dist.p() == 0.5);
}
SECTION ("parametrized") {
SECTION("parametrized")
{
constexpr double p = 0.25;
auto stl_dist = std::geometric_distribution<rep>(p);
auto units_dist = units::geometric_distribution<q>(p);
@@ -171,14 +176,15 @@ TEST_CASE("poisson_distribution")
SECTION("default")
{
auto dist = units::poisson_distribution<q>();
CHECK(dist.mean() == 1.0);
auto dist = units::poisson_distribution<q>();
CHECK(dist.mean() == 1.0);
}
SECTION ("parametrized") {
SECTION("parametrized")
{
constexpr double mean = 5.0;
auto stl_dist = std::poisson_distribution<rep>(mean);
auto units_dist = units::poisson_distribution<q>(mean);
@@ -195,14 +201,15 @@ TEST_CASE("exponential_distribution")
SECTION("default")
{
auto dist = units::exponential_distribution<q>();
CHECK(dist.lambda() == 1.0);
auto dist = units::exponential_distribution<q>();
CHECK(dist.lambda() == 1.0);
}
SECTION ("parametrized") {
SECTION("parametrized")
{
constexpr double lambda = 2.0;
auto stl_dist = std::exponential_distribution<rep>(lambda);
auto units_dist = units::exponential_distribution<q>(lambda);
@@ -219,16 +226,17 @@ TEST_CASE("gamma_distribution")
SECTION("default")
{
auto dist = units::gamma_distribution<q>();
CHECK(dist.alpha() == 1.0);
CHECK(dist.beta() == 1.0);
auto dist = units::gamma_distribution<q>();
CHECK(dist.alpha() == 1.0);
CHECK(dist.beta() == 1.0);
}
SECTION ("parametrized") {
SECTION("parametrized")
{
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<q>(alpha, beta);
@@ -246,16 +254,17 @@ TEST_CASE("weibull_distribution")
SECTION("default")
{
auto dist = units::weibull_distribution<q>();
CHECK(dist.a() == 1.0);
CHECK(dist.b() == 1.0);
auto dist = units::weibull_distribution<q>();
CHECK(dist.a() == 1.0);
CHECK(dist.b() == 1.0);
}
SECTION ("parametrized") {
SECTION("parametrized")
{
constexpr rep a = 5.0;
constexpr rep b = 2.0;
auto stl_dist = std::weibull_distribution(a, b);
auto units_dist = units::weibull_distribution<q>(a, b);
@@ -273,16 +282,17 @@ TEST_CASE("extreme_value_distribution")
SECTION("default")
{
auto dist = units::extreme_value_distribution<q>();
CHECK(dist.a() == q::zero());
CHECK(dist.b() == 1.0);
auto dist = units::extreme_value_distribution<q>();
CHECK(dist.a() == q::zero());
CHECK(dist.b() == 1.0);
}
SECTION ("parametrized") {
SECTION("parametrized")
{
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<q>(q(a), b);
@@ -300,20 +310,20 @@ TEST_CASE("normal_distribution")
SECTION("default")
{
auto dist = units::normal_distribution<q>();
CHECK(dist.mean() == q::zero());
CHECK(dist.stddev() == q::one());
auto dist = units::normal_distribution<q>();
CHECK(dist.mean() == q::zero());
CHECK(dist.stddev() == q::one());
}
SECTION("parametrized")
{
constexpr rep mean = 5.0;
constexpr rep stddev = 2.0;
auto stl_dist = std::normal_distribution(mean, stddev);
auto units_dist = units::normal_distribution(q(mean), q(stddev));
CHECK(units_dist.mean() == q(stl_dist.mean()));
CHECK(units_dist.stddev() == q(stl_dist.stddev()));
CHECK(units_dist.min() == q(stl_dist.min()));
@@ -328,20 +338,20 @@ TEST_CASE("lognormal_distribution")
SECTION("default")
{
auto dist = units::lognormal_distribution<q>();
CHECK(dist.m() == q::zero());
CHECK(dist.s() == q::one());
auto dist = units::lognormal_distribution<q>();
CHECK(dist.m() == q::zero());
CHECK(dist.s() == q::one());
}
SECTION("parametrized")
{
constexpr rep m = 5.0;
constexpr rep s = 2.0;
auto stl_dist = std::lognormal_distribution(m, s);
auto units_dist = units::lognormal_distribution(q(m), q(s));
CHECK(units_dist.m() == q(stl_dist.m()));
CHECK(units_dist.s() == q(stl_dist.s()));
CHECK(units_dist.min() == q(stl_dist.min()));
@@ -356,18 +366,18 @@ TEST_CASE("chi_squared_distribution")
SECTION("default")
{
auto dist = units::chi_squared_distribution<q>();
CHECK(dist.n() == 1.0);
auto dist = units::chi_squared_distribution<q>();
CHECK(dist.n() == 1.0);
}
SECTION("parametrized")
{
constexpr rep n = 5.0;
auto stl_dist = std::chi_squared_distribution(n);
auto units_dist = units::chi_squared_distribution<q>(n);
CHECK(units_dist.n() == stl_dist.n());
CHECK(units_dist.min() == q(stl_dist.min()));
CHECK(units_dist.max() == q(stl_dist.max()));
@@ -381,16 +391,17 @@ TEST_CASE("cauchy_distribution")
SECTION("default")
{
auto dist = units::cauchy_distribution<q>();
CHECK(dist.a() == q::zero());
CHECK(dist.b() == q::one());
auto dist = units::cauchy_distribution<q>();
CHECK(dist.a() == q::zero());
CHECK(dist.b() == q::one());
}
SECTION ("parametrized") {
SECTION("parametrized")
{
constexpr rep a = 5.0;
constexpr rep b = 2.0;
auto stl_dist = std::cauchy_distribution(a, b);
auto units_dist = units::cauchy_distribution(q(a), q(b));
@@ -408,16 +419,17 @@ TEST_CASE("fisher_f_distribution")
SECTION("default")
{
auto dist = units::fisher_f_distribution<q>();
CHECK(dist.m() == 1.0);
CHECK(dist.n() == 1.0);
auto dist = units::fisher_f_distribution<q>();
CHECK(dist.m() == 1.0);
CHECK(dist.n() == 1.0);
}
SECTION ("parametrized") {
SECTION("parametrized")
{
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<q>(m, n);
@@ -435,14 +447,15 @@ TEST_CASE("student_t_distribution")
SECTION("default")
{
auto dist = units::student_t_distribution<q>();
CHECK(dist.n() == 1.0);
auto dist = units::student_t_distribution<q>();
CHECK(dist.n() == 1.0);
}
SECTION ("parametrized") {
SECTION("parametrized")
{
constexpr rep n = 2.0;
auto stl_dist = std::student_t_distribution<rep>(n);
auto units_dist = units::student_t_distribution<q>(n);
@@ -459,36 +472,39 @@ TEST_CASE("discrete_distribution")
SECTION("default")
{
auto stl_dist = std::discrete_distribution<rep>();
auto units_dist = units::discrete_distribution<q>();
CHECK(units_dist.min() == q(stl_dist.min()));
CHECK(units_dist.max() == q(stl_dist.max()));
CHECK(units_dist.probabilities() == stl_dist.probabilities());
auto stl_dist = std::discrete_distribution<rep>();
auto units_dist = units::discrete_distribution<q>();
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") {
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<q>(weights.cbegin(), weights.cend());
CHECK(units_dist.probabilities() == stl_dist.probabilities());
}
SECTION ("parametrized_initializer_list") {
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<q>(weights);
CHECK(units_dist.probabilities() == stl_dist.probabilities());
}
SECTION ("parametrized_range") {
SECTION("parametrized_range")
{
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<q>(count, xmin, xmax, [](double val) { return val; });
@@ -506,34 +522,38 @@ TEST_CASE("piecewise_constant_distribution")
SECTION("default")
{
auto stl_dist = std::piecewise_constant_distribution<rep>();
auto units_dist = units::piecewise_constant_distribution<q>();
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);
CHECK(units_dist.densities().size() == 1);
auto stl_dist = std::piecewise_constant_distribution<rep>();
auto units_dist = units::piecewise_constant_distribution<q>();
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);
CHECK(units_dist.densities().size() == 1);
}
SECTION ("parametrized_input_it") {
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_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());
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);
CHECK(units_dist.densities() == stl_dist.densities());
}
SECTION ("parametrized_initializer_list") {
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_constant_distribution<rep>(intervals_rep, [](rep val) { return val; });
auto units_dist = units::piecewise_constant_distribution<q>(intervals_qty, [](q qty) { return qty.number(); });
@@ -541,13 +561,15 @@ TEST_CASE("piecewise_constant_distribution")
CHECK(units_dist.densities() == stl_dist.densities());
}
SECTION ("parametrized_range") {
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_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.number(); });
auto units_dist =
units::piecewise_constant_distribution<q>(nw, xmin_qty, xmax_qty, [](q qty) { return qty.number(); });
CHECK(units_dist.intervals() == intervals_qty_vec);
CHECK(units_dist.densities() == stl_dist.densities());
@@ -564,34 +586,38 @@ TEST_CASE("piecewise_linear_distribution")
SECTION("default")
{
auto stl_dist = std::piecewise_linear_distribution<rep>();
auto units_dist = units::piecewise_linear_distribution<q>();
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);
CHECK(units_dist.densities().size() == 2);
auto stl_dist = std::piecewise_linear_distribution<rep>();
auto units_dist = units::piecewise_linear_distribution<q>();
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);
CHECK(units_dist.densities().size() == 2);
}
SECTION ("parametrized_input_it") {
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());
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") {
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.number(); });
@@ -599,13 +625,15 @@ TEST_CASE("piecewise_linear_distribution")
CHECK(units_dist.densities() == stl_dist.densities());
}
SECTION ("parametrized_range") {
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.number(); });
auto units_dist =
units::piecewise_linear_distribution<q>(nw, xmin_qty, xmax_qty, [](q qty) { return qty.number(); });
CHECK(units_dist.intervals() == intervals_qty_vec);
CHECK(units_dist.densities() == stl_dist.densities());