ceph/src/boost/libs/math/test/test_autodiff_7.cpp

   1 //           Copyright Matthew Pulver 2018 - 2019.
   2 // Distributed under the Boost Software License, Version 1.0.
   3 //      (See accompanying file LICENSE_1_0.txt or copy at
   4 //           https://www.boost.org/LICENSE_1_0.txt)
   5
   6 #include "test_autodiff.hpp"
   7
   8 BOOST_AUTO_TEST_SUITE(test_autodiff_7)
   9
  10 BOOST_AUTO_TEST_CASE_TEMPLATE(expm1_hpp, T, all_float_types) {
  11   using boost::math::differentiation::detail::log;
  12   using boost::multiprecision::log;
  13   using std::log;
  14   using test_constants = test_constants_t<T>;
  15   static constexpr auto m = test_constants::order;
  16   test_detail::RandomSample<T> x_sampler{-log(T(2000)), log(T(2000))};
  17   for (auto i : boost::irange(test_constants::n_samples)) {
  18     std::ignore = i;
  19     auto x = x_sampler.next();
  20     BOOST_CHECK_CLOSE(boost::math::expm1(make_fvar<T, m>(x)).derivative(0u),
  21                       boost::math::expm1(x),
  22                       50 * test_constants::pct_epsilon());
  23   }
  24 }
  25
  26 BOOST_AUTO_TEST_CASE_TEMPLATE(fpclassify_hpp, T, all_float_types) {
  27   using boost::math::fpclassify;
  28   using boost::math::isfinite;
  29   using boost::math::isinf;
  30   using boost::math::isnan;
  31   using boost::math::isnormal;
  32   using boost::multiprecision::fpclassify;
  33   using boost::multiprecision::isfinite;
  34   using boost::multiprecision::isinf;
  35   using boost::multiprecision::isnan;
  36   using boost::multiprecision::isnormal;
  37
  38   using test_constants = test_constants_t<T>;
  39   static constexpr auto m = test_constants::order;
  40   test_detail::RandomSample<T> x_sampler{-1000, 1000};
  41   for (auto i : boost::irange(test_constants::n_samples)) {
  42     std::ignore = i;
  43
  44     BOOST_CHECK_EQUAL(fpclassify(make_fvar<T, m>(0)), FP_ZERO);
  45     BOOST_CHECK_EQUAL(fpclassify(make_fvar<T, m>(10)), FP_NORMAL);
  46     BOOST_CHECK_EQUAL(
  47         fpclassify(make_fvar<T, m>(std::numeric_limits<T>::infinity())),
  48         FP_INFINITE);
  49     BOOST_CHECK_EQUAL(
  50         fpclassify(make_fvar<T, m>(std::numeric_limits<T>::quiet_NaN())),
  51         FP_NAN);
  52     if (std::numeric_limits<T>::has_denorm != std::denorm_absent) {
  53       BOOST_CHECK_EQUAL(
  54           fpclassify(make_fvar<T, m>(std::numeric_limits<T>::denorm_min())),
  55           FP_SUBNORMAL);
  56     }
  57
  58     BOOST_CHECK(isfinite(make_fvar<T, m>(0)));
  59     BOOST_CHECK(isnormal(make_fvar<T, m>((std::numeric_limits<T>::min)())));
  60     BOOST_CHECK(
  61         !isnormal(make_fvar<T, m>(std::numeric_limits<T>::denorm_min())));
  62     BOOST_CHECK(isinf(make_fvar<T, m>(std::numeric_limits<T>::infinity())));
  63     BOOST_CHECK(isnan(make_fvar<T, m>(std::numeric_limits<T>::quiet_NaN())));
  64   }
  65 }
  66
  67 BOOST_AUTO_TEST_SUITE_END()