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authorDaniel Baumann <daniel.baumann@progress-linux.org>2024-04-27 18:24:20 +0000
committerDaniel Baumann <daniel.baumann@progress-linux.org>2024-04-27 18:24:20 +0000
commit483eb2f56657e8e7f419ab1a4fab8dce9ade8609 (patch)
treee5d88d25d870d5dedacb6bbdbe2a966086a0a5cf /src/boost/libs/accumulators/test/tail_quantile.cpp
parentInitial commit. (diff)
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Adding upstream version 14.2.21.upstream/14.2.21upstream
Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>
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+// (C) Copyright 2006 Eric Niebler, Olivier Gygi.
+// Use, modification and distribution are subject to the
+// Boost Software License, Version 1.0. (See accompanying file
+// LICENSE_1_0.txt or copy at http://www.boost.org/LICENSE_1_0.txt)
+
+// Test case for tail_quantile.hpp
+
+#include <boost/random.hpp>
+#include <boost/test/unit_test.hpp>
+#include <boost/test/floating_point_comparison.hpp>
+#include <boost/accumulators/numeric/functional/vector.hpp>
+#include <boost/accumulators/numeric/functional/complex.hpp>
+#include <boost/accumulators/numeric/functional/valarray.hpp>
+#include <boost/accumulators/accumulators.hpp>
+#include <boost/accumulators/statistics/stats.hpp>
+#include <boost/accumulators/statistics/tail_quantile.hpp>
+
+using namespace boost;
+using namespace unit_test;
+using namespace boost::accumulators;
+
+///////////////////////////////////////////////////////////////////////////////
+// test_stat
+//
+void test_stat()
+{
+ // tolerance in %
+ double epsilon = 1;
+
+ std::size_t n = 100000; // number of MC steps
+ std::size_t c = 10000; // cache size
+
+ typedef accumulator_set<double, stats<tag::tail_quantile<right> > > accumulator_t_right;
+ typedef accumulator_set<double, stats<tag::tail_quantile<left> > > accumulator_t_left;
+
+ accumulator_t_right acc0( right_tail_cache_size = c );
+ accumulator_t_right acc1( right_tail_cache_size = c );
+ accumulator_t_left acc2( left_tail_cache_size = c );
+ accumulator_t_left acc3( left_tail_cache_size = c );
+
+ // two random number generators
+ boost::lagged_fibonacci607 rng;
+ boost::normal_distribution<> mean_sigma(0,1);
+ boost::variate_generator<boost::lagged_fibonacci607&, boost::normal_distribution<> > normal(rng, mean_sigma);
+
+ for (std::size_t i = 0; i < n; ++i)
+ {
+ double sample1 = rng();
+ double sample2 = normal();
+ acc0(sample1);
+ acc1(sample2);
+ acc2(sample1);
+ acc3(sample2);
+ }
+
+ // check uniform distribution
+ BOOST_CHECK_CLOSE( quantile(acc0, quantile_probability = 0.95 ), 0.95, epsilon );
+ BOOST_CHECK_CLOSE( quantile(acc0, quantile_probability = 0.975), 0.975, epsilon );
+ BOOST_CHECK_CLOSE( quantile(acc0, quantile_probability = 0.99 ), 0.99, epsilon );
+ BOOST_CHECK_CLOSE( quantile(acc0, quantile_probability = 0.999), 0.999, epsilon );
+ BOOST_CHECK_CLOSE( quantile(acc2, quantile_probability = 0.05 ), 0.05, 4*epsilon );
+ BOOST_CHECK_CLOSE( quantile(acc2, quantile_probability = 0.025), 0.025, 5*epsilon );
+ BOOST_CHECK_CLOSE( quantile(acc2, quantile_probability = 0.01 ), 0.01, 7*epsilon );
+ BOOST_CHECK_CLOSE( quantile(acc2, quantile_probability = 0.001), 0.001, 22*epsilon );
+
+ // check standard normal distribution
+ BOOST_CHECK_CLOSE( quantile(acc1, quantile_probability = 0.975), 1.959963, epsilon );
+ BOOST_CHECK_CLOSE( quantile(acc1, quantile_probability = 0.999), 3.090232, 3*epsilon );
+ BOOST_CHECK_CLOSE( quantile(acc3, quantile_probability = 0.025), -1.959963, 2*epsilon );
+ BOOST_CHECK_CLOSE( quantile(acc3, quantile_probability = 0.001), -3.090232, 3*epsilon );
+
+}
+
+///////////////////////////////////////////////////////////////////////////////
+// init_unit_test_suite
+//
+test_suite* init_unit_test_suite( int argc, char* argv[] )
+{
+ test_suite *test = BOOST_TEST_SUITE("tail_quantile test");
+
+ test->add(BOOST_TEST_CASE(&test_stat));
+
+ return test;
+}
+