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// 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()
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