1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208
|
// (C) Copyright Pieter Bastiaan Ober 2014.
// 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/tools/floating_point_comparison.hpp>
#include <boost/mpl/assert.hpp>
#include <boost/type_traits/is_same.hpp>
#include <boost/accumulators/accumulators.hpp>
#include <boost/accumulators/statistics/stats.hpp>
#include <sstream>
#include <boost/archive/text_oarchive.hpp>
#include <boost/archive/text_iarchive.hpp>
#include <boost/accumulators/statistics/rolling_variance.hpp>
using namespace boost;
using namespace unit_test;
using namespace accumulators;
template<typename T>
void assert_is_double(T const &)
{
BOOST_MPL_ASSERT((is_same<T, double>));
}
/*
REFERENCE VALUES PROVIDED BY OCTAVE:
x=[1.2 2.3 3.4 4.5 0.4 2.2 7.1 4.0]
v1_2 = var(x(1:2))
v1_3 = var(x(1:3))
v1_4 = var(x(1:4))
v2_5 = var(x(2:5))
v3_6 = var(x(3:6))
v4_7 = var(x(4:7))
v5_8 = var(x(5:8))
GIVES:
v1_2 = 0.605000000000000
v1_3 = 1.21000000000000
v1_4 = 2.01666666666667
v2_5 = 3.05666666666667
v3_6 = 3.08250000000000
v4_7 = 8.41666666666667
v5_8 = 8.16250000000000
*/
///////////////////////////////////////////////////////////////////////////////
// rolling_variance_test_impl
// implements a test for window_size = 4
size_t window_size = 4;
template<typename accumulator_set_type>
void rolling_variance_test_impl(accumulator_set_type& acc)
{
// Window contains x(1), value is zero
acc(1.2);
BOOST_CHECK_CLOSE(rolling_variance(acc),0.0,1e-10);
// Window contains x(1)...x(2)
acc(2.3);
BOOST_CHECK_CLOSE(rolling_variance(acc),0.605,1e-10);
// Window contains x(1)...x(3)
acc(3.4);
BOOST_CHECK_CLOSE(rolling_variance(acc),1.21,1e-10);
// Window contains x(1)...x(4)
acc(4.5);
BOOST_CHECK_CLOSE(rolling_variance(acc),2.01666666666667,1e-10);
// Window contains x(2)...x(5)
acc(0.4);
BOOST_CHECK_CLOSE(rolling_variance(acc),3.05666666666667,1e-10);
// Window contains x(3)...x(6)
acc(2.2);
BOOST_CHECK_CLOSE(rolling_variance(acc),3.08250000000000,1e-10);
// Window contains x(4)...x(7)
acc(7.1);
BOOST_CHECK_CLOSE(rolling_variance(acc),8.41666666666667,1e-10);
// Window contains x(5)...x(8)
acc(4.0);
BOOST_CHECK_CLOSE(rolling_variance(acc),8.16250000000000,1e-10);
assert_is_double(rolling_variance(acc));
}
///////////////////////////////////////////////////////////////////////////////
// test_rolling_variance
//
void test_rolling_variance()
{
// tag::rolling_window::window_size
accumulator_set<double, stats<tag::immediate_rolling_variance> >
acc_immediate_rolling_variance(tag::immediate_rolling_variance::window_size = window_size);
accumulator_set<double, stats<tag::immediate_rolling_variance, tag::rolling_mean> >
acc_immediate_rolling_variance2(tag::immediate_rolling_variance::window_size = window_size);
accumulator_set<double, stats<tag::rolling_variance(immediate)> >
acc_immediate_rolling_variance3(tag::immediate_rolling_variance::window_size = window_size);
accumulator_set<double, stats<tag::lazy_rolling_variance> >
acc_lazy_rolling_variance(tag::lazy_rolling_variance::window_size = window_size);
accumulator_set<double, stats<tag::rolling_variance(lazy)> >
acc_lazy_rolling_variance2(tag::immediate_rolling_variance::window_size = window_size);
accumulator_set<double, stats<tag::rolling_variance> >
acc_default_rolling_variance(tag::rolling_variance::window_size = window_size);
//// test the different implementations
rolling_variance_test_impl(acc_immediate_rolling_variance);
rolling_variance_test_impl(acc_immediate_rolling_variance2);
rolling_variance_test_impl(acc_immediate_rolling_variance3);
rolling_variance_test_impl(acc_lazy_rolling_variance);
rolling_variance_test_impl(acc_lazy_rolling_variance2);
rolling_variance_test_impl(acc_default_rolling_variance);
//// test that the default implementation is the 'immediate' computation
BOOST_REQUIRE(sizeof(acc_lazy_rolling_variance) != sizeof(acc_immediate_rolling_variance));
BOOST_CHECK (sizeof(acc_default_rolling_variance) == sizeof(acc_immediate_rolling_variance));
//// test the equivalence of the different ways to indicate a feature
BOOST_CHECK (sizeof(acc_immediate_rolling_variance) == sizeof(acc_immediate_rolling_variance2));
BOOST_CHECK (sizeof(acc_immediate_rolling_variance) == sizeof(acc_immediate_rolling_variance3));
BOOST_CHECK (sizeof(acc_lazy_rolling_variance) == sizeof(acc_lazy_rolling_variance2));
}
///////////////////////////////////////////////////////////////////////////////
// test_persistency_impl
//
template<typename accumulator_set_type>
void test_persistency_impl(accumulator_set_type& acc)
{
std::stringstream ss;
{
acc(1.2);
acc(2.3);
acc(3.4);
acc(4.5);
acc(0.4);
acc(2.2);
acc(7.1);
acc(4.0);
BOOST_CHECK_CLOSE(rolling_variance(acc),8.16250000000000,1e-10);
boost::archive::text_oarchive oa(ss);
acc.serialize(oa, 0);
}
accumulator_set_type other_acc = acc;
boost::archive::text_iarchive ia(ss);
other_acc.serialize(ia, 0);
BOOST_CHECK_CLOSE(rolling_variance(acc),8.16250000000000,1e-10);
}
///////////////////////////////////////////////////////////////////////////////
// test_persistency
//
void test_persistency()
{
// tag::rolling_window::window_size
accumulator_set<double, stats<tag::immediate_rolling_variance> >
acc_immediate_rolling_variance(tag::immediate_rolling_variance::window_size = window_size);
accumulator_set<double, stats<tag::immediate_rolling_variance, tag::rolling_mean> >
acc_immediate_rolling_variance2(tag::immediate_rolling_variance::window_size = window_size);
accumulator_set<double, stats<tag::rolling_variance(immediate)> >
acc_immediate_rolling_variance3(tag::immediate_rolling_variance::window_size = window_size);
accumulator_set<double, stats<tag::lazy_rolling_variance> >
acc_lazy_rolling_variance(tag::lazy_rolling_variance::window_size = window_size);
accumulator_set<double, stats<tag::rolling_variance(lazy)> >
acc_lazy_rolling_variance2(tag::immediate_rolling_variance::window_size = window_size);
accumulator_set<double, stats<tag::rolling_variance> >
acc_default_rolling_variance(tag::rolling_variance::window_size = window_size);
//// test the different implementations
test_persistency_impl(acc_immediate_rolling_variance);
test_persistency_impl(acc_immediate_rolling_variance2);
test_persistency_impl(acc_immediate_rolling_variance3);
test_persistency_impl(acc_lazy_rolling_variance);
test_persistency_impl(acc_lazy_rolling_variance2);
test_persistency_impl(acc_default_rolling_variance);
}
///////////////////////////////////////////////////////////////////////////////
// init_unit_test_suite
//
test_suite* init_unit_test_suite( int argc, char* argv[] )
{
test_suite *test = BOOST_TEST_SUITE("rolling variance test");
test->add(BOOST_TEST_CASE(&test_rolling_variance));
test->add(BOOST_TEST_CASE(&test_persistency));
return test;
}
|