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diff --git a/src/boost/libs/accumulators/test/median.cpp b/src/boost/libs/accumulators/test/median.cpp
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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)
+
+#include <boost/test/unit_test.hpp>
+#include <boost/test/floating_point_comparison.hpp>
+#include <boost/random.hpp>
+#include <boost/accumulators/accumulators.hpp>
+#include <boost/accumulators/statistics/stats.hpp>
+#include <boost/accumulators/statistics/median.hpp>
+#include <sstream>
+#include <boost/archive/text_oarchive.hpp>
+#include <boost/archive/text_iarchive.hpp>
+
+using namespace boost;
+using namespace unit_test;
+using namespace accumulators;
+
+
+typedef accumulator_set<double, stats<tag::median(with_p_square_quantile) > > p_square_median_t;
+typedef accumulator_set<double, stats<tag::median(with_density) > > dist_median_t;
+typedef accumulator_set<double, stats<tag::median(with_p_square_cumulative_distribution) > > p_square_dist_median_t;
+
+///////////////////////////////////////////////////////////////////////////////
+// test_stat
+//
+void test_stat()
+{
+ // two random number generators
+ double mu = 1.;
+ boost::lagged_fibonacci607 rng;
+ boost::normal_distribution<> mean_sigma(mu,1);
+ boost::variate_generator<boost::lagged_fibonacci607&, boost::normal_distribution<> > normal(rng, mean_sigma);
+
+ p_square_median_t acc;
+ dist_median_t acc_dens( density_cache_size = 10000, density_num_bins = 1000 );
+ p_square_dist_median_t acc_cdist( p_square_cumulative_distribution_num_cells = 100 );
+
+ for (std::size_t i=0; i<100000; ++i)
+ {
+ double sample = normal();
+ acc(sample);
+ acc_dens(sample);
+ acc_cdist(sample);
+ }
+
+ BOOST_CHECK_CLOSE(1., median(acc), 1.);
+ BOOST_CHECK_CLOSE(1., median(acc_dens), 1.);
+ BOOST_CHECK_CLOSE(1., median(acc_cdist), 3.);
+}
+
+///////////////////////////////////////////////////////////////////////////////
+// test_persistency
+//
+void test_persistency()
+{
+ // two random number generators
+ double mu = 1.;
+ boost::lagged_fibonacci607 rng;
+ boost::normal_distribution<> mean_sigma(mu,1);
+ boost::variate_generator<boost::lagged_fibonacci607&, boost::normal_distribution<> > normal(rng, mean_sigma);
+ std::stringstream ss;
+ {
+ p_square_median_t acc;
+ dist_median_t acc_dens( density_cache_size = 10000, density_num_bins = 1000 );
+ p_square_dist_median_t acc_cdist( p_square_cumulative_distribution_num_cells = 100 );
+
+ for (std::size_t i=0; i<100000; ++i)
+ {
+ double sample = normal();
+ acc(sample);
+ acc_dens(sample);
+ acc_cdist(sample);
+ }
+
+ BOOST_CHECK_CLOSE(1., median(acc), 1.);
+ BOOST_CHECK_CLOSE(1., median(acc_dens), 1.);
+ BOOST_CHECK_CLOSE(1., median(acc_cdist), 3.);
+
+ boost::archive::text_oarchive oa(ss);
+ acc.serialize(oa, 0);
+ acc_dens.serialize(oa, 0);
+ acc_cdist.serialize(oa, 0);
+ }
+
+ p_square_median_t acc;
+ dist_median_t acc_dens( density_cache_size = 10000, density_num_bins = 1000 );
+ p_square_dist_median_t acc_cdist( p_square_cumulative_distribution_num_cells = 100 );
+ boost::archive::text_iarchive ia(ss);
+ acc.serialize(ia, 0);
+ acc_dens.serialize(ia, 0);
+ acc_cdist.serialize(ia, 0);
+ BOOST_CHECK_CLOSE(1., median(acc), 1.);
+ BOOST_CHECK_CLOSE(1., median(acc_dens), 1.);
+ BOOST_CHECK_CLOSE(1., median(acc_cdist), 3.);
+}
+
+///////////////////////////////////////////////////////////////////////////////
+// init_unit_test_suite
+//
+test_suite* init_unit_test_suite( int argc, char* argv[] )
+{
+ test_suite *test = BOOST_TEST_SUITE("median test");
+
+ test->add(BOOST_TEST_CASE(&test_stat));
+ test->add(BOOST_TEST_CASE(&test_persistency));
+
+ return test;
+}