12345678910111213141516171819202122232425262728293031323334353637383940414243444546474849505152535455565758596061626364656667 |
- // Copyright Matthew Pulver 2018 - 2019.
- // Distributed under the Boost Software License, Version 1.0.
- // (See accompanying file LICENSE_1_0.txt or copy at
- // https://www.boost.org/LICENSE_1_0.txt)
- #include "test_autodiff.hpp"
- BOOST_AUTO_TEST_SUITE(test_autodiff_7)
- BOOST_AUTO_TEST_CASE_TEMPLATE(expm1_hpp, T, all_float_types) {
- using boost::math::differentiation::detail::log;
- using boost::multiprecision::log;
- using std::log;
- using test_constants = test_constants_t<T>;
- static constexpr auto m = test_constants::order;
- test_detail::RandomSample<T> x_sampler{-log(T(2000)), log(T(2000))};
- for (auto i : boost::irange(test_constants::n_samples)) {
- std::ignore = i;
- auto x = x_sampler.next();
- BOOST_CHECK_CLOSE(boost::math::expm1(make_fvar<T, m>(x)).derivative(0u),
- boost::math::expm1(x),
- 50 * test_constants::pct_epsilon());
- }
- }
- BOOST_AUTO_TEST_CASE_TEMPLATE(fpclassify_hpp, T, all_float_types) {
- using boost::math::fpclassify;
- using boost::math::isfinite;
- using boost::math::isinf;
- using boost::math::isnan;
- using boost::math::isnormal;
- using boost::multiprecision::fpclassify;
- using boost::multiprecision::isfinite;
- using boost::multiprecision::isinf;
- using boost::multiprecision::isnan;
- using boost::multiprecision::isnormal;
- using test_constants = test_constants_t<T>;
- static constexpr auto m = test_constants::order;
- test_detail::RandomSample<T> x_sampler{-1000, 1000};
- for (auto i : boost::irange(test_constants::n_samples)) {
- std::ignore = i;
- BOOST_CHECK_EQUAL(fpclassify(make_fvar<T, m>(0)), FP_ZERO);
- BOOST_CHECK_EQUAL(fpclassify(make_fvar<T, m>(10)), FP_NORMAL);
- BOOST_CHECK_EQUAL(
- fpclassify(make_fvar<T, m>(std::numeric_limits<T>::infinity())),
- FP_INFINITE);
- BOOST_CHECK_EQUAL(
- fpclassify(make_fvar<T, m>(std::numeric_limits<T>::quiet_NaN())),
- FP_NAN);
- if (std::numeric_limits<T>::has_denorm != std::denorm_absent) {
- BOOST_CHECK_EQUAL(
- fpclassify(make_fvar<T, m>(std::numeric_limits<T>::denorm_min())),
- FP_SUBNORMAL);
- }
- BOOST_CHECK(isfinite(make_fvar<T, m>(0)));
- BOOST_CHECK(isnormal(make_fvar<T, m>((std::numeric_limits<T>::min)())));
- BOOST_CHECK(
- !isnormal(make_fvar<T, m>(std::numeric_limits<T>::denorm_min())));
- BOOST_CHECK(isinf(make_fvar<T, m>(std::numeric_limits<T>::infinity())));
- BOOST_CHECK(isnan(make_fvar<T, m>(std::numeric_limits<T>::quiet_NaN())));
- }
- }
- BOOST_AUTO_TEST_SUITE_END()
|