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histogram/test/histogram_test.cpp
Hans Dembinski 9606c38a64 prepare/change interface for point-wise adding
2017-05-05 00:13:44 +02:00

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// Copyright 2015-2016 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/archive/text_iarchive.hpp>
#include <boost/archive/text_oarchive.hpp>
#include <boost/core/lightweight_test.hpp>
#include <boost/histogram/axis_ostream_operators.hpp>
#include <boost/histogram/histogram.hpp>
#include <boost/histogram/histogram_ostream_operators.hpp>
#include <boost/histogram/literals.hpp>
#include <boost/histogram/serialization.hpp>
#include <boost/histogram/storage/adaptive_storage.hpp>
#include <boost/histogram/storage/container_storage.hpp>
#include <boost/histogram/utility.hpp>
#include <limits>
#include <sstream>
#include <vector>
using namespace boost::histogram;
using namespace boost::histogram::literals; // to get _c suffix
namespace mpl = boost::mpl;
template <typename S, typename... Axes>
auto make_histogram(Static, Axes &&... axes)
-> decltype(make_static_histogram_with<S>(std::forward<Axes>(axes)...)) {
return make_static_histogram_with<S>(std::forward<Axes>(axes)...);
}
template <typename S, typename... Axes>
auto make_histogram(Dynamic, Axes &&... axes)
-> decltype(make_dynamic_histogram_with<S>(std::forward<Axes>(axes)...)) {
return make_dynamic_histogram_with<S>(std::forward<Axes>(axes)...);
}
template <typename Type> void run_tests() {
// init_0
{
auto h = histogram<Static, mpl::vector<integer_axis>, adaptive_storage<>>();
BOOST_TEST_EQ(h.dim(), 1);
BOOST_TEST_EQ(h.size(), 0);
auto h2 = histogram<Static, mpl::vector<integer_axis>,
container_storage<std::vector<unsigned>>>();
BOOST_TEST(h2 == h);
auto h3 =
histogram<Static, mpl::vector<regular_axis<>>, adaptive_storage<>>();
BOOST_TEST(h3 != h);
}
// init_1
{
auto h =
make_histogram<adaptive_storage<>>(Type(), regular_axis<>{3, -1, 1});
BOOST_TEST_EQ(h.dim(), 1);
BOOST_TEST_EQ(h.size(), 5);
BOOST_TEST_EQ(shape(h.axis(0_c)), 5);
BOOST_TEST_EQ(shape(h.axis()), 5);
auto h2 = make_histogram<container_storage<std::vector<unsigned>>>(
Type(), regular_axis<>{3, -1, 1});
BOOST_TEST(h2 == h);
}
// init_2
{
auto h = make_histogram<adaptive_storage<>>(
Type(), regular_axis<>{3, -1, 1}, integer_axis{-1, 1});
BOOST_TEST_EQ(h.dim(), 2);
BOOST_TEST_EQ(h.size(), 25);
BOOST_TEST_EQ(shape(h.axis(0_c)), 5);
BOOST_TEST_EQ(shape(h.axis(1_c)), 5);
auto h2 = make_histogram<container_storage<std::vector<unsigned>>>(
Type(), regular_axis<>{3, -1, 1}, integer_axis{-1, 1});
BOOST_TEST(h2 == h);
}
// init_3
{
auto h = make_histogram<adaptive_storage<>>(
Type(), regular_axis<>{3, -1, 1}, integer_axis{-1, 1},
circular_axis<>{3});
BOOST_TEST_EQ(h.dim(), 3);
BOOST_TEST_EQ(h.size(), 75);
auto h2 = make_histogram<container_storage<std::vector<unsigned>>>(
Type(), regular_axis<>{3, -1, 1}, integer_axis{-1, 1},
circular_axis<>{3});
BOOST_TEST(h2 == h);
}
// init_4
{
auto h = make_histogram<adaptive_storage<>>(
Type(), regular_axis<>{3, -1, 1}, integer_axis{-1, 1},
circular_axis<>{3}, variable_axis<>{-1, 0, 1});
BOOST_TEST_EQ(h.dim(), 4);
BOOST_TEST_EQ(h.size(), 300);
auto h2 = make_histogram<container_storage<std::vector<unsigned>>>(
Type(), regular_axis<>{3, -1, 1}, integer_axis{-1, 1},
circular_axis<>{3}, variable_axis<>{-1, 0, 1});
BOOST_TEST(h2 == h);
}
// init_5
{
auto h = make_histogram<adaptive_storage<>>(
Type(), regular_axis<>{3, -1, 1}, integer_axis{-1, 1},
circular_axis<>{3}, variable_axis<>{-1, 0, 1},
category_axis{"A", "B", "C"});
BOOST_TEST_EQ(h.dim(), 5);
BOOST_TEST_EQ(h.size(), 900);
auto h2 = make_histogram<container_storage<std::vector<unsigned>>>(
Type(), regular_axis<>{3, -1, 1}, integer_axis{-1, 1},
circular_axis<>{3}, variable_axis<>{-1, 0, 1},
category_axis{"A", "B", "C"});
BOOST_TEST(h2 == h);
}
// copy_ctor
{
auto h = make_histogram<adaptive_storage<>>(Type(), integer_axis(0, 1),
integer_axis(0, 2));
h.fill(0, 0);
auto h2 = decltype(h)(h);
BOOST_TEST(h2 == h);
auto h3 = histogram<Static, mpl::vector<integer_axis, integer_axis>,
container_storage<std::vector<unsigned>>>(h);
BOOST_TEST(h3 == h);
}
// copy_assign
{
auto h = make_histogram<adaptive_storage<>>(Type(), integer_axis(0, 1),
integer_axis(0, 2));
h.fill(0, 0);
auto h2 = decltype(h)();
BOOST_TEST(h != h2);
h2 = h;
BOOST_TEST(h == h2);
// test self-assign
h2 = h2;
BOOST_TEST(h == h2);
auto h3 = histogram<Static, mpl::vector<integer_axis, integer_axis>,
container_storage<std::vector<unsigned>>>();
h3 = h;
BOOST_TEST(h == h3);
}
// move
{
auto h = make_histogram<adaptive_storage<>>(Type(), integer_axis(0, 1),
integer_axis(0, 2));
h.fill(0, 0);
const auto href = h;
decltype(h) h2(std::move(h));
BOOST_TEST_EQ(h.dim(),
Type() == 0 ? 2 : 0); // static axes cannot shrink to zero
BOOST_TEST_EQ(h.sum(), 0);
BOOST_TEST_EQ(h.size(), 0);
BOOST_TEST(h2 == href);
decltype(h) h3;
h3 = std::move(h2);
BOOST_TEST_EQ(h2.dim(),
Type() == 0 ? 2 : 0); // static axes cannot shrink to zero
BOOST_TEST_EQ(h2.sum(), 0);
BOOST_TEST_EQ(h2.size(), 0);
BOOST_TEST(h3 == href);
}
// equal_compare
{
auto a = make_histogram<adaptive_storage<>>(Type(), integer_axis(0, 1));
auto b = make_histogram<adaptive_storage<>>(Type(), integer_axis(0, 1),
integer_axis(0, 2));
BOOST_TEST(a != b);
BOOST_TEST(b != a);
auto c = make_histogram<adaptive_storage<>>(Type(), integer_axis(0, 1));
BOOST_TEST(b != c);
BOOST_TEST(c != b);
BOOST_TEST(a == c);
BOOST_TEST(c == a);
auto d =
make_histogram<adaptive_storage<>>(Type(), regular_axis<>(2, 0, 1));
BOOST_TEST(c != d);
BOOST_TEST(d != c);
c.fill(0);
BOOST_TEST(a != c);
BOOST_TEST(c != a);
a.fill(0);
BOOST_TEST(a == c);
BOOST_TEST(c == a);
a.fill(0);
BOOST_TEST(a != c);
BOOST_TEST(c != a);
}
// d1
{
auto h = make_histogram<adaptive_storage<>>(Type(), integer_axis(0, 1));
h.fill(0);
h.fill(0);
h.fill(-1);
h.fill(10, count(10));
BOOST_TEST_EQ(h.dim(), 1);
BOOST_TEST_EQ(bins(h.axis(0_c)), 2);
BOOST_TEST_EQ(shape(h.axis(0_c)), 4);
BOOST_TEST_EQ(h.sum(), 13);
BOOST_TEST_THROWS(h.value(-2), std::out_of_range);
BOOST_TEST_EQ(h.value(-1), 1.0);
BOOST_TEST_EQ(h.value(0), 2.0);
BOOST_TEST_EQ(h.value(1), 0.0);
BOOST_TEST_EQ(h.value(2), 10.0);
BOOST_TEST_THROWS(h.value(3), std::out_of_range);
BOOST_TEST_THROWS(h.variance(-2), std::out_of_range);
BOOST_TEST_EQ(h.variance(-1), 1.0);
BOOST_TEST_EQ(h.variance(0), 2.0);
BOOST_TEST_EQ(h.variance(1), 0.0);
BOOST_TEST_EQ(h.variance(2), 10.0);
BOOST_TEST_THROWS(h.variance(3), std::out_of_range);
}
// d1_2
{
auto h = make_histogram<adaptive_storage<>>(Type(),
integer_axis(0, 1, "", false));
h.fill(0);
h.fill(-0);
h.fill(-1);
h.fill(10, count(10));
BOOST_TEST_EQ(h.dim(), 1);
BOOST_TEST_EQ(bins(h.axis(0_c)), 2);
BOOST_TEST_EQ(shape(h.axis(0_c)), 2);
BOOST_TEST_EQ(h.sum(), 2);
BOOST_TEST_THROWS(h.value(-1), std::out_of_range);
BOOST_TEST_EQ(h.value(0), 2.0);
BOOST_TEST_EQ(h.value(1), 0.0);
BOOST_TEST_THROWS(h.value(2), std::out_of_range);
BOOST_TEST_THROWS(h.variance(-1), std::out_of_range);
BOOST_TEST_EQ(h.variance(0), 2.0);
BOOST_TEST_EQ(h.variance(1), 0.0);
BOOST_TEST_THROWS(h.variance(2), std::out_of_range);
}
// d1w
{
auto h =
make_histogram<adaptive_storage<>>(Type(), regular_axis<>(2, -1, 1));
h.fill(0);
h.fill(weight(2.0), -1.0);
h.fill(-1.0);
h.fill(-2.0);
h.fill(weight(5.0), 10.0);
BOOST_TEST_EQ(h.sum(), 10);
BOOST_TEST_EQ(h.value(-1), 1.0);
BOOST_TEST_EQ(h.value(0), 3.0);
BOOST_TEST_EQ(h.value(1), 1.0);
BOOST_TEST_EQ(h.value(2), 5.0);
BOOST_TEST_EQ(h.variance(-1), 1.0);
BOOST_TEST_EQ(h.variance(0), 5.0);
BOOST_TEST_EQ(h.variance(1), 1.0);
BOOST_TEST_EQ(h.variance(2), 25.0);
}
// d1w2
{
auto h = make_histogram<container_storage<std::vector<float>>>(
Type(), regular_axis<>(2, -1, 1));
h.fill(0);
h.fill(count(2.0), -1.0);
h.fill(-1.0);
h.fill(-2.0);
h.fill(count(5.0), 10.0);
BOOST_TEST_EQ(h.sum(), 10);
BOOST_TEST_EQ(h.value(-1), 1.0);
BOOST_TEST_EQ(h.value(0), 3.0);
BOOST_TEST_EQ(h.value(1), 1.0);
BOOST_TEST_EQ(h.value(2), 5.0);
}
// d2
{
auto h = make_histogram<adaptive_storage<>>(
Type(), regular_axis<>(2, -1, 1), integer_axis(-1, 1, "", false));
h.fill(-1, -1);
h.fill(-1, 0);
h.fill(-1, -10);
h.fill(-10, 0);
BOOST_TEST_EQ(h.dim(), 2);
BOOST_TEST_EQ(bins(h.axis(0_c)), 2);
BOOST_TEST_EQ(shape(h.axis(0_c)), 4);
BOOST_TEST_EQ(bins(h.axis(1_c)), 3);
BOOST_TEST_EQ(shape(h.axis(1_c)), 3);
BOOST_TEST_EQ(h.sum(), 3);
BOOST_TEST_EQ(h.value(-1, 0), 0.0);
BOOST_TEST_EQ(h.value(-1, 1), 1.0);
BOOST_TEST_EQ(h.value(-1, 2), 0.0);
BOOST_TEST_EQ(h.value(0, 0), 1.0);
BOOST_TEST_EQ(h.value(0, 1), 1.0);
BOOST_TEST_EQ(h.value(0, 2), 0.0);
BOOST_TEST_EQ(h.value(1, 0), 0.0);
BOOST_TEST_EQ(h.value(1, 1), 0.0);
BOOST_TEST_EQ(h.value(1, 2), 0.0);
BOOST_TEST_EQ(h.value(2, 0), 0.0);
BOOST_TEST_EQ(h.value(2, 1), 0.0);
BOOST_TEST_EQ(h.value(2, 2), 0.0);
BOOST_TEST_EQ(h.variance(-1, 0), 0.0);
BOOST_TEST_EQ(h.variance(-1, 1), 1.0);
BOOST_TEST_EQ(h.variance(-1, 2), 0.0);
BOOST_TEST_EQ(h.variance(0, 0), 1.0);
BOOST_TEST_EQ(h.variance(0, 1), 1.0);
BOOST_TEST_EQ(h.variance(0, 2), 0.0);
BOOST_TEST_EQ(h.variance(1, 0), 0.0);
BOOST_TEST_EQ(h.variance(1, 1), 0.0);
BOOST_TEST_EQ(h.variance(1, 2), 0.0);
BOOST_TEST_EQ(h.variance(2, 0), 0.0);
BOOST_TEST_EQ(h.variance(2, 1), 0.0);
BOOST_TEST_EQ(h.variance(2, 2), 0.0);
}
// d2w
{
auto h = make_histogram<adaptive_storage<>>(
Type(), regular_axis<>(2, -1, 1), integer_axis(-1, 1, "", false));
h.fill(-1, 0); // -> 0, 1
h.fill(weight(10), -1, -1); // -> 0, 0
h.fill(weight(5), -1, -10); // is ignored
h.fill(weight(7), -10, 0); // -> -1, 1
BOOST_TEST_EQ(h.sum(), 18);
BOOST_TEST_EQ(h.value(-1, 0), 0.0);
BOOST_TEST_EQ(h.value(-1, 1), 7.0);
BOOST_TEST_EQ(h.value(-1, 2), 0.0);
BOOST_TEST_EQ(h.value(0, 0), 10.0);
BOOST_TEST_EQ(h.value(0, 1), 1.0);
BOOST_TEST_EQ(h.value(0, 2), 0.0);
BOOST_TEST_EQ(h.value(1, 0), 0.0);
BOOST_TEST_EQ(h.value(1, 1), 0.0);
BOOST_TEST_EQ(h.value(1, 2), 0.0);
BOOST_TEST_EQ(h.value(2, 0), 0.0);
BOOST_TEST_EQ(h.value(2, 1), 0.0);
BOOST_TEST_EQ(h.value(2, 2), 0.0);
BOOST_TEST_EQ(h.variance(-1, 0), 0.0);
BOOST_TEST_EQ(h.variance(-1, 1), 49.0);
BOOST_TEST_EQ(h.variance(-1, 2), 0.0);
BOOST_TEST_EQ(h.variance(0, 0), 100.0);
BOOST_TEST_EQ(h.variance(0, 1), 1.0);
BOOST_TEST_EQ(h.variance(0, 2), 0.0);
BOOST_TEST_EQ(h.variance(1, 0), 0.0);
BOOST_TEST_EQ(h.variance(1, 1), 0.0);
BOOST_TEST_EQ(h.variance(1, 2), 0.0);
BOOST_TEST_EQ(h.variance(2, 0), 0.0);
BOOST_TEST_EQ(h.variance(2, 1), 0.0);
BOOST_TEST_EQ(h.variance(2, 2), 0.0);
}
// d3w
{
auto h = make_histogram<adaptive_storage<>>(
Type(), integer_axis(0, 3), integer_axis(0, 4), integer_axis(0, 5));
for (auto i = 0; i < bins(h.axis(0_c)); ++i) {
for (auto j = 0; j < bins(h.axis(1_c)); ++j) {
for (auto k = 0; k < bins(h.axis(2_c)); ++k) {
h.fill(weight(i + j + k), i, j, k);
}
}
}
for (auto i = 0; i < bins(h.axis(0_c)); ++i) {
for (auto j = 0; j < bins(h.axis(1_c)); ++j) {
for (auto k = 0; k < bins(h.axis(2_c)); ++k) {
BOOST_TEST_EQ(h.value(i, j, k), i + j + k);
}
}
}
}
// add_1
{
auto a = make_histogram<adaptive_storage<>>(Type(), integer_axis(-1, 1));
auto b = make_histogram<container_storage<std::vector<unsigned>>>(
Type(), integer_axis(-1, 1));
a.fill(-1);
b.fill(1);
auto c = a;
c += b;
BOOST_TEST_EQ(c.value(-1), 0);
BOOST_TEST_EQ(c.value(0), 1);
BOOST_TEST_EQ(c.value(1), 0);
BOOST_TEST_EQ(c.value(2), 1);
BOOST_TEST_EQ(c.value(3), 0);
auto d = a;
d += b;
BOOST_TEST_EQ(d.value(-1), 0);
BOOST_TEST_EQ(d.value(0), 1);
BOOST_TEST_EQ(d.value(1), 0);
BOOST_TEST_EQ(d.value(2), 1);
BOOST_TEST_EQ(d.value(3), 0);
}
// add_2
{
auto a = make_histogram<adaptive_storage<>>(Type(), integer_axis(-1, 1));
auto b = make_histogram<adaptive_storage<>>(Type(), integer_axis(-1, 1));
a.fill(0);
b.fill(weight(3), -1);
auto c = a;
c += b;
BOOST_TEST_EQ(c.value(-1), 0);
BOOST_TEST_EQ(c.value(0), 3);
BOOST_TEST_EQ(c.value(1), 1);
BOOST_TEST_EQ(c.value(2), 0);
BOOST_TEST_EQ(c.value(3), 0);
auto d = a;
d += b;
BOOST_TEST_EQ(d.value(-1), 0);
BOOST_TEST_EQ(d.value(0), 3);
BOOST_TEST_EQ(d.value(1), 1);
BOOST_TEST_EQ(d.value(2), 0);
BOOST_TEST_EQ(d.value(3), 0);
}
// add_3
{
auto a = make_histogram<container_storage<std::vector<char>>>(
Type(), integer_axis(-1, 1));
auto b = make_histogram<container_storage<std::vector<unsigned>>>(
Type(), integer_axis(-1, 1));
a.fill(-1);
b.fill(1);
auto c = a;
c += b;
BOOST_TEST_EQ(c.value(-1), 0);
BOOST_TEST_EQ(c.value(0), 1);
BOOST_TEST_EQ(c.value(1), 0);
BOOST_TEST_EQ(c.value(2), 1);
BOOST_TEST_EQ(c.value(3), 0);
auto d = a;
d += b;
BOOST_TEST_EQ(d.value(-1), 0);
BOOST_TEST_EQ(d.value(0), 1);
BOOST_TEST_EQ(d.value(1), 0);
BOOST_TEST_EQ(d.value(2), 1);
BOOST_TEST_EQ(d.value(3), 0);
}
// bad_add
{
auto a = make_histogram<adaptive_storage<>>(Type(), integer_axis(0, 1));
auto b = make_histogram<adaptive_storage<>>(Type(), integer_axis(0, 2));
BOOST_TEST_THROWS(a += b, std::logic_error);
}
// bad_index
{
auto a = make_histogram<adaptive_storage<>>(Type(), integer_axis(0, 1));
BOOST_TEST_THROWS(a.value(5), std::out_of_range);
BOOST_TEST_THROWS(a.variance(5), std::out_of_range);
}
// functional programming
{
auto v = std::vector<int>{0, 1, 2, 3, 4, 5, 6, 7, 8, 9};
auto h = make_histogram<adaptive_storage<>>(Type(), integer_axis(0, 9));
std::for_each(v.begin(), v.end(), [&h](int x) { h.fill(weight(2.0), x); });
BOOST_TEST_EQ(h.sum(), 20.0);
}
// histogram_serialization
{
auto a = make_histogram<adaptive_storage<>>(
Type(), regular_axis<>(3, -1, 1, "r"),
circular_axis<>(4, 0.0, 1.0, "p"),
regular_axis<double, transform::log>(3, 1, 100, "lr"),
variable_axis<>({0.1, 0.2, 0.3, 0.4, 0.5}, "v"),
category_axis{"A", "B", "C"}, integer_axis(0, 1, "i"));
a.fill(0.5, 20, 0.1, 0.25, 1, 0);
std::string buf;
{
std::ostringstream os;
boost::archive::text_oarchive oa(os);
oa << a;
buf = os.str();
}
auto b = decltype(a)();
BOOST_TEST(a != b);
{
std::istringstream is(buf);
boost::archive::text_iarchive ia(is);
ia >> b;
}
BOOST_TEST(a == b);
}
// histogram_ostream
{
auto a = make_histogram<adaptive_storage<>>(
Type(), regular_axis<>(3, -1, 1, "r"), integer_axis(0, 1, "i"));
std::ostringstream os;
os << a;
BOOST_TEST_EQ(os.str(), "histogram("
"\n regular_axis(3, -1, 1, label='r'),"
"\n integer_axis(0, 1, label='i'),"
"\n)");
}
// histogram_reset
{
auto a = make_histogram<adaptive_storage<>>(Type(),
integer_axis(0, 1, "", false));
a.fill(0);
a.fill(1);
BOOST_TEST_EQ(a.value(0), 1);
BOOST_TEST_EQ(a.value(1), 1);
a.reset();
BOOST_TEST_EQ(a.value(0), 0);
BOOST_TEST_EQ(a.value(1), 0);
}
}
template <typename T1, typename T2> void run_mixed_tests() {
// compare
{
auto a = make_histogram<adaptive_storage<>>(T1{}, regular_axis<>{3, 0, 3},
integer_axis(0, 1));
auto b = make_histogram<adaptive_storage<>>(T2{}, regular_axis<>{3, 0, 3},
integer_axis(0, 1));
BOOST_TEST_EQ(a, b);
auto b2 = make_histogram<adaptive_storage<>>(T2{}, integer_axis{0, 3},
integer_axis(0, 1));
BOOST_TEST_NE(a, b2);
auto b3 = make_histogram<adaptive_storage<>>(T2{}, regular_axis<>(3, 0, 4),
integer_axis(0, 1));
BOOST_TEST_NE(a, b3);
}
// copy_assign
{
auto a = make_histogram<adaptive_storage<>>(T1{}, regular_axis<>{3, 0, 3},
integer_axis(0, 1));
auto b = make_histogram<adaptive_storage<>>(T2{}, regular_axis<>{3, 0, 3},
integer_axis(0, 1));
a.fill(1, 1);
BOOST_TEST_NE(a, b);
b = a;
BOOST_TEST_EQ(a, b);
}
}
int main() {
// common interface
run_tests<boost::histogram::Static>();
run_tests<boost::histogram::Dynamic>();
// init_6: special stuff that only works with Dynamic
{
auto v = std::vector<histogram<Dynamic, builtin_axes>::axis_type>();
v.push_back(regular_axis<>(100, -1, 1));
v.push_back(integer_axis(1, 6));
auto h = histogram<Dynamic, builtin_axes>(v.begin(), v.end());
BOOST_TEST_EQ(h.axis(0_c), v[0]);
BOOST_TEST_EQ(h.axis(1_c), v[1]);
BOOST_TEST_EQ(h.axis(0), v[0]);
BOOST_TEST_EQ(h.axis(1), v[1]);
}
run_mixed_tests<boost::histogram::Static, boost::histogram::Dynamic>();
run_mixed_tests<boost::histogram::Dynamic, boost::histogram::Static>();
return boost::report_errors();
}
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