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122 lines
4.5 KiB
C++
122 lines
4.5 KiB
C++
// (C) Copyright John Maddock 2006.
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// Use, modification and distribution are subject to the
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// Boost Software License, Version 1.0. (See accompanying file
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// LICENSE_1_0.txt or copy at http://www.boost.org/LICENSE_1_0.txt)
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#include <boost/math/concepts/real_concept.hpp>
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#include <boost/test/included/test_exec_monitor.hpp>
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#include <boost/test/floating_point_comparison.hpp>
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#include <boost/math/special_functions/beta.hpp>
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#include <boost/math/tools/stats.hpp>
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#include <boost/math/tools/test.hpp>
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#include <boost/math/constants/constants.hpp>
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#include <boost/type_traits/is_floating_point.hpp>
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#include <boost/array.hpp>
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#include <boost/lambda/lambda.hpp>
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#include <boost/lambda/bind.hpp>
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#include "test_beta_hooks.hpp"
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template <class T>
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void print_test_result(const boost::math::tools::test_result<T>& result,
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T worst, const char* name, const char* test)
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{
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using namespace std;
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T eps = pow(T(2), 1-boost::math::tools::digits<T>());
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std::cout << setprecision(4);
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std::cout << test << "(" << name << ") Max = " << (result.stat.max)()/eps
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<< " RMS Mean=" << result.stat.rms()/eps << " worst case at point: " << worst << std::endl;
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}
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template <class T>
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void do_test_beta(const T& data, const char* type_name, const char* test_name)
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{
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typedef typename T::value_type row_type;
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typedef typename row_type::value_type value_type;
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typedef value_type (*pg)(value_type, value_type);
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pg funcp = boost::math::beta;
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boost::math::tools::test_result<value_type> result;
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std::cout << "Testing " << test_name << " with type " << type_name
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<< "\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n";
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//
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// test beta against data:
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//
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result = boost::math::tools::test(
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data,
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boost::lambda::bind(funcp,
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boost::lambda::ret<value_type>(boost::lambda::_1[0]),
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boost::lambda::ret<value_type>(boost::lambda::_1[1])),
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boost::lambda::ret<value_type>(boost::lambda::_1[2]));
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print_test_result(result, data[result.worst_case][0], type_name, "boost::math::beta");
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#ifdef TEST_OTHER
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if(::boost::is_floating_point<value_type>::value){
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funcp = other::beta;
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result = boost::math::tools::test(
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data,
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boost::lambda::bind(funcp,
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boost::lambda::ret<value_type>(boost::lambda::_1[0]),
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boost::lambda::ret<value_type>(boost::lambda::_1[1])),
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boost::lambda::ret<value_type>(boost::lambda::_1[2]));
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print_test_result(result, data[result.worst_case][0], type_name, "other::beta");
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}
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#endif
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std::cout << std::endl;
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}
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template <class T>
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void test_beta(T, const char* name)
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{
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//
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// The actual test data is rather verbose, so it's in a separate file
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//
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// The contents are as follows, each row of data contains
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// three items, input value a, input value b and beta(a, b):
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//
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# include "beta_small_data.ipp"
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do_test_beta(beta_small_data, name, "Beta Function: Small Values");
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# include "beta_med_data.ipp"
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do_test_beta(beta_med_data, name, "Beta Function: Medium Values");
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# include "beta_exp_data.ipp"
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do_test_beta(beta_exp_data, name, "Beta Function: Divergent Values");
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}
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template <class T>
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void test_spots(T)
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{
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//
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// basic sanity checks, tolerance is 10 decimal places expressed as a percentage:
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//
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T tolerance = std::pow(10.0, -8);
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BOOST_CHECK_CLOSE(::boost::math::beta(static_cast<T>(1), static_cast<T>(1)), static_cast<T>(1), tolerance);
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BOOST_CHECK_CLOSE(::boost::math::beta(static_cast<T>(1), static_cast<T>(4)), static_cast<T>(0.25), tolerance);
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BOOST_CHECK_CLOSE(::boost::math::beta(static_cast<T>(4), static_cast<T>(1)), static_cast<T>(0.25), tolerance);
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BOOST_CHECK_CLOSE(::boost::math::beta(static_cast<T>(1e-50), static_cast<T>(4)), static_cast<T>(1e50), tolerance);
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BOOST_CHECK_CLOSE(::boost::math::beta(static_cast<T>(4), static_cast<T>(1e-50)), static_cast<T>(1e50), tolerance);
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BOOST_CHECK_CLOSE(::boost::math::beta(static_cast<T>(4), static_cast<T>(20)), static_cast<T>(0.00002823263692828910220214568040654997176736L), tolerance);
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BOOST_CHECK_CLOSE(::boost::math::beta(static_cast<T>(0.0125), static_cast<T>(0.000023)), static_cast<T>(43558.24045647538375006349016083320744662L), tolerance);
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}
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int test_main(int, char* [])
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{
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//test_spots(0.0F);
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test_spots(0.0);
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test_spots(0.0L);
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test_spots(boost::math::concepts::real_concept(0.1));
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test_beta(0.1F, "float");
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test_beta(0.1, "double");
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test_beta(0.1L, "long double");
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test_beta(boost::math::concepts::real_concept(0.1), "real_concept");
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return 0;
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}
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