histogram/test/internal_accumulators_test.cpp
2019-01-24 00:16:38 +01:00

160 lines
3.5 KiB
C++

// Copyright 2015-2018 Hans Dembinski
//
// Distributed under 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/core/lightweight_test.hpp>
#include <boost/histogram/accumulators/mean.hpp>
#include <boost/histogram/accumulators/ostream.hpp>
#include <boost/histogram/accumulators/sum.hpp>
#include <boost/histogram/accumulators/weighted_mean.hpp>
#include <boost/histogram/accumulators/weighted_sum.hpp>
#include <sstream>
#include "is_close.hpp"
using namespace boost::histogram;
int main() {
{
using w_t = accumulators::weighted_sum<double>;
w_t w;
std::ostringstream os;
os << w;
BOOST_TEST_EQ(os.str(), std::string("weighted_sum(0, 0)"));
BOOST_TEST_EQ(w, w_t(0));
BOOST_TEST_NE(w, w_t(1));
w = w_t(1);
BOOST_TEST_EQ(w.value(), 1);
BOOST_TEST_EQ(w.variance(), 1);
BOOST_TEST_EQ(w, 1);
BOOST_TEST_NE(w, 2);
w += 2;
BOOST_TEST_EQ(w.value(), 3);
BOOST_TEST_EQ(w.variance(), 5);
BOOST_TEST_EQ(w, w_t(3, 5));
BOOST_TEST_NE(w, w_t(3));
w += w_t(1, 2);
BOOST_TEST_EQ(w.value(), 4);
BOOST_TEST_EQ(w.variance(), 7);
// consistency: a weighted counter increased by weight 1 multiplied
// by 2 must be the same as a weighted counter increased by weight 2
w_t u(0);
++u;
u *= 2;
BOOST_TEST_EQ(u, w_t(2, 4));
w_t v(0);
v += 2;
BOOST_TEST_EQ(u, v);
// conversion to RealType
w_t y(1, 2);
BOOST_TEST_NE(y, 1);
BOOST_TEST_EQ(static_cast<double>(y), 1);
}
{
using m_t = accumulators::mean<double>;
m_t a;
BOOST_TEST_EQ(a.count(), 0);
a(4);
a(7);
a(13);
a(16);
BOOST_TEST_EQ(a.count(), 4);
BOOST_TEST_EQ(a.value(), 10);
BOOST_TEST_EQ(a.variance(), 30);
std::ostringstream os;
os << a;
BOOST_TEST_EQ(os.str(), std::string("mean(4, 10, 30)"));
m_t b;
b(1e8 + 4);
b(1e8 + 7);
b(1e8 + 13);
b(1e8 + 16);
BOOST_TEST_EQ(b.count(), 4);
BOOST_TEST_EQ(b.value(), 1e8 + 10);
BOOST_TEST_EQ(b.variance(), 30);
auto c = a;
c += a; // same as feeding all samples twice
BOOST_TEST_EQ(c.count(), 8);
BOOST_TEST_EQ(c.value(), 10);
BOOST_TEST_IS_CLOSE(c.variance(), 25.714, 1e-3);
}
{
using m_t = accumulators::weighted_mean<double>;
m_t a;
BOOST_TEST_EQ(a.sum_of_weights(), 0);
a(0.5, 1);
a(1.0, 2);
a(0.5, 3);
BOOST_TEST_EQ(a.sum_of_weights(), 2);
BOOST_TEST_EQ(a.value(), 2);
BOOST_TEST_IS_CLOSE(a.variance(), 0.8, 1e-3);
std::ostringstream os;
os << a;
BOOST_TEST_EQ(os.str(), std::string("weighted_mean(2, 2, 0.8)"));
auto b = a;
b += a; // same as feeding all samples twice
BOOST_TEST_EQ(b.sum_of_weights(), 4);
BOOST_TEST_EQ(b.value(), 2);
BOOST_TEST_IS_CLOSE(b.variance(), 0.615, 1e-3);
}
{
double bad_sum = 0;
bad_sum += 1;
bad_sum += 1e100;
bad_sum += 1;
bad_sum += -1e100;
BOOST_TEST_EQ(bad_sum, 0); // instead of 2
accumulators::sum<double> sum;
++sum;
sum += 1e100;
++sum;
sum += -1e100;
BOOST_TEST_EQ(sum, 2); // correct answer
accumulators::sum<double> a(3), b(2), c(3);
BOOST_TEST_LT(b, c);
BOOST_TEST_LE(b, c);
BOOST_TEST_LE(a, c);
BOOST_TEST_GT(a, b);
BOOST_TEST_GE(a, b);
BOOST_TEST_GE(a, c);
}
{
accumulators::weighted_sum<accumulators::sum<double>> w;
++w;
w += 1e100;
++w;
w += -1e100;
BOOST_TEST_EQ(w.value(), 2);
BOOST_TEST_EQ(w.variance(), 2e200);
}
return boost::report_errors();
}