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histogram/test/histogram_test.cpp
Hans Dembinski d2e2d23c77 clang-format
2018-02-28 23:14:28 +01:00

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// Copyright 2015-2017 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/histogram.hpp>
#include <boost/histogram/literals.hpp>
#include <boost/histogram/ostream_operators.hpp>
#include <boost/histogram/serialization.hpp>
#include <boost/histogram/storage/adaptive_storage.hpp>
#include <boost/histogram/storage/array_storage.hpp>
#include <boost/histogram/storage/weight_counter.hpp>
#include <boost/mpl/int.hpp>
#include <cstdlib>
#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_tag, 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_tag, Axes &&... axes)
-> decltype(make_dynamic_histogram_with<S>(std::forward<Axes>(axes)...)) {
return make_dynamic_histogram_with<S>(std::forward<Axes>(axes)...);
}
template <typename T, typename U>
bool axis_equal(static_tag, const T &t, const U &u) {
return t == u;
}
template <typename T, typename U>
bool axis_equal(dynamic_tag, const T &t, const U &u) {
return t == T(u); // need to convert rhs to boost::variant
}
int expected_moved_from_dim(static_tag, int static_value) {
return static_value;
}
int expected_moved_from_dim(dynamic_tag, int) { return 0; }
template <typename... Ts>
void pass_histogram(boost::histogram::histogram<Ts...> &h) {}
template <typename Type> void run_tests() {
// init_1
{
auto h =
make_histogram<adaptive_storage>(Type(), axis::regular<>{3, -1, 1});
BOOST_TEST_EQ(h.dim(), 1);
BOOST_TEST_EQ(h.bincount(), 5);
BOOST_TEST_EQ(h.axis(0_c).shape(), 5);
BOOST_TEST_EQ(h.axis().shape(), 5);
auto h2 = make_histogram<array_storage<unsigned>>(
Type(), axis::regular<>{3, -1, 1});
BOOST_TEST_EQ(h2, h);
}
// init_2
{
auto h = make_histogram<adaptive_storage>(Type(), axis::regular<>{3, -1, 1},
axis::integer<>{-1, 2});
BOOST_TEST_EQ(h.dim(), 2);
BOOST_TEST_EQ(h.bincount(), 25);
BOOST_TEST_EQ(h.axis(0_c).shape(), 5);
BOOST_TEST_EQ(h.axis(1_c).shape(), 5);
auto h2 = make_histogram<array_storage<unsigned>>(
Type(), axis::regular<>{3, -1, 1}, axis::integer<>{-1, 2});
BOOST_TEST_EQ(h2, h);
}
// init_3
{
auto h = make_histogram<adaptive_storage>(Type(), axis::regular<>{3, -1, 1},
axis::integer<>{-1, 2},
axis::circular<>{3});
BOOST_TEST_EQ(h.dim(), 3);
BOOST_TEST_EQ(h.bincount(), 75);
auto h2 = make_histogram<array_storage<unsigned>>(
Type(), axis::regular<>{3, -1, 1}, axis::integer<>{-1, 2},
axis::circular<>{3});
BOOST_TEST_EQ(h2, h);
}
// init_4
{
auto h = make_histogram<adaptive_storage>(
Type(), axis::regular<>{3, -1, 1}, axis::integer<>{-1, 2},
axis::circular<>{3}, axis::variable<>{-1, 0, 1});
BOOST_TEST_EQ(h.dim(), 4);
BOOST_TEST_EQ(h.bincount(), 300);
auto h2 = make_histogram<array_storage<unsigned>>(
Type(), axis::regular<>{3, -1, 1}, axis::integer<>{-1, 2},
axis::circular<>{3}, axis::variable<>{-1, 0, 1});
BOOST_TEST_EQ(h2, h);
}
// init_5
{
enum { A, B, C };
auto h = make_histogram<adaptive_storage>(
Type(), axis::regular<>{3, -1, 1}, axis::integer<>{-1, 2},
axis::circular<>{3}, axis::variable<>{-1, 0, 1},
axis::category<>{{A, B, C}});
BOOST_TEST_EQ(h.dim(), 5);
BOOST_TEST_EQ(h.bincount(), 900);
auto h2 = make_histogram<array_storage<unsigned>>(
Type(), axis::regular<>{3, -1, 1}, axis::integer<>{-1, 2},
axis::circular<>{3}, axis::variable<>{-1, 0, 1},
axis::category<>{{A, B, C}});
BOOST_TEST_EQ(h2, h);
}
// copy_ctor
{
auto h = make_histogram<adaptive_storage>(Type(), axis::integer<>{0, 2},
axis::integer<>{0, 3});
h.fill(0, 0);
auto h2 = decltype(h)(h);
BOOST_TEST(h2 == h);
auto h3 = static_histogram<mpl::vector<axis::integer<>, axis::integer<>>,
array_storage<unsigned>>(h);
BOOST_TEST_EQ(h3, h);
}
// copy_assign
{
auto h = make_histogram<adaptive_storage>(Type(), axis::integer<>(0, 1),
axis::integer<>(0, 2));
h.fill(0, 0);
auto h2 = decltype(h)();
BOOST_TEST_NE(h, h2);
h2 = h;
BOOST_TEST_EQ(h, h2);
// test self-assign
h2 = h2;
BOOST_TEST_EQ(h, h2);
auto h3 = static_histogram<mpl::vector<axis::integer<>, axis::integer<>>,
array_storage<unsigned>>();
h3 = h;
BOOST_TEST_EQ(h, h3);
}
// move
{
auto h = make_histogram<adaptive_storage>(Type(), axis::integer<>(0, 1),
axis::integer<>(0, 2));
h.fill(0, 0);
const auto href = h;
decltype(h) h2(std::move(h));
// static axes cannot shrink to zero
BOOST_TEST_EQ(h.dim(), expected_moved_from_dim(Type(), 2));
BOOST_TEST_EQ(h.sum(), 0);
BOOST_TEST_EQ(h.bincount(), 0);
BOOST_TEST_EQ(h2, href);
decltype(h) h3;
h3 = std::move(h2);
// static axes cannot shrink to zero
BOOST_TEST_EQ(h2.dim(), expected_moved_from_dim(Type(), 2));
BOOST_TEST_EQ(h2.sum(), 0);
BOOST_TEST_EQ(h2.bincount(), 0);
BOOST_TEST_EQ(h3, href);
}
// axis methods
{
enum { A = 3, B = 5 };
auto a = make_histogram<adaptive_storage>(Type(),
axis::regular<>(1, 1, 2, "foo"));
BOOST_TEST_EQ(a.axis().size(), 1);
BOOST_TEST_EQ(a.axis().shape(), 3);
BOOST_TEST_EQ(a.axis().index(1.0), 0);
BOOST_TEST_EQ(a.axis()[0].lower(), 1.0);
BOOST_TEST_EQ(a.axis()[0].upper(), 2.0);
BOOST_TEST_EQ(a.axis().label(), "foo");
a.axis().label("bar");
BOOST_TEST_EQ(a.axis().label(), "bar");
auto b = make_histogram<adaptive_storage>(Type(), axis::integer<>(1, 2));
BOOST_TEST_EQ(b.axis().size(), 1);
BOOST_TEST_EQ(b.axis().shape(), 3);
BOOST_TEST_EQ(b.axis().index(1), 0);
BOOST_TEST_EQ(b.axis()[0].lower(), 1);
BOOST_TEST_EQ(b.axis()[0].upper(), 2);
b.axis().label("foo");
BOOST_TEST_EQ(b.axis().label(), "foo");
auto c = make_histogram<adaptive_storage>(Type(), axis::category<>({A, B}));
BOOST_TEST_EQ(c.axis().size(), 2);
BOOST_TEST_EQ(c.axis().shape(), 2);
BOOST_TEST_EQ(c.axis().index(A), 0);
BOOST_TEST_EQ(c.axis().index(B), 1);
c.axis().label("foo");
BOOST_TEST_EQ(c.axis().label(), "foo");
// need to cast here for this to work with Type == dynamic_tag
auto ca = axis::cast<axis::category<>>(c.axis());
BOOST_TEST_EQ(ca[0], A);
}
// equal_compare
{
auto a = make_histogram<adaptive_storage>(Type(), axis::integer<>(0, 2));
auto b = make_histogram<adaptive_storage>(Type(), axis::integer<>(0, 2),
axis::integer<>(0, 3));
BOOST_TEST(a != b);
BOOST_TEST(b != a);
auto c = make_histogram<adaptive_storage>(Type(), axis::integer<>(0, 2));
BOOST_TEST(b != c);
BOOST_TEST(c != b);
BOOST_TEST(a == c);
BOOST_TEST(c == a);
auto d = make_histogram<adaptive_storage>(Type(), axis::regular<>(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(), axis::integer<>{0, 2});
h.fill(0);
h.fill(0);
h.fill(-1);
h.fill(10);
BOOST_TEST_EQ(h.dim(), 1);
BOOST_TEST_EQ(h.axis(0_c).size(), 2);
BOOST_TEST_EQ(h.axis(0_c).shape(), 4);
BOOST_TEST_EQ(h.sum(), 4);
BOOST_TEST_THROWS(h.value(-2), std::out_of_range);
BOOST_TEST_EQ(h.value(-1), 1);
BOOST_TEST_EQ(h.value(0), 2);
BOOST_TEST_EQ(h.value(1), 0);
BOOST_TEST_EQ(h.value(2), 1);
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);
BOOST_TEST_EQ(h.variance(0), 2);
BOOST_TEST_EQ(h.variance(1), 0);
BOOST_TEST_EQ(h.variance(2), 1);
BOOST_TEST_THROWS(h.variance(3), std::out_of_range);
}
// d1_2
{
auto h = make_histogram<adaptive_storage>(
Type(), axis::integer<>(0, 2, "", axis::uoflow::off));
h.fill(0);
h.fill(-0);
h.fill(-1);
h.fill(10);
BOOST_TEST_EQ(h.dim(), 1);
BOOST_TEST_EQ(h.axis(0_c).size(), 2);
BOOST_TEST_EQ(h.axis(0_c).shape(), 2);
BOOST_TEST_EQ(h.sum(), 2);
BOOST_TEST_THROWS(h.value(-1), std::out_of_range);
BOOST_TEST_EQ(h.value(0), 2);
BOOST_TEST_EQ(h.value(1), 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);
BOOST_TEST_EQ(h.variance(1), 0);
BOOST_TEST_THROWS(h.variance(2), std::out_of_range);
}
// d1_3
{
auto h = make_histogram<adaptive_storage>(
Type(), axis::category<std::string>({"A", "B"}));
h.fill("A");
h.fill("B");
h.fill("D");
h.fill("E");
BOOST_TEST_EQ(h.dim(), 1);
BOOST_TEST_EQ(h.axis(0_c).size(), 2);
BOOST_TEST_EQ(h.axis(0_c).shape(), 2);
BOOST_TEST_EQ(h.sum(), 2);
BOOST_TEST_THROWS(h.value(-1), std::out_of_range);
BOOST_TEST_EQ(h.value(0), 1);
BOOST_TEST_EQ(h.value(1), 1);
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), 1);
BOOST_TEST_EQ(h.variance(1), 1);
BOOST_TEST_THROWS(h.variance(2), std::out_of_range);
}
// d1w
{
auto h =
make_histogram<adaptive_storage>(Type(), axis::regular<>(2, -1, 1));
h.fill(0);
h.fill(weight(0.5), -1);
h.fill(-1);
h.fill(-2);
h.fill(10, weight(5));
BOOST_TEST_EQ(h.sum(), 8.5);
BOOST_TEST_EQ(h.value(-1), 1);
BOOST_TEST_EQ(h.value(0), 1.5);
BOOST_TEST_EQ(h.value(1), 1);
BOOST_TEST_EQ(h.value(2), 5);
BOOST_TEST_EQ(h.variance(-1), 1);
BOOST_TEST_EQ(h.variance(0), 1.25);
BOOST_TEST_EQ(h.variance(1), 1);
BOOST_TEST_EQ(h.variance(2), 25);
}
// d2
{
auto h = make_histogram<adaptive_storage>(
Type(), axis::regular<>(2, -1, 1),
axis::integer<>(-1, 2, "", axis::uoflow::off));
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(h.axis(0_c).size(), 2);
BOOST_TEST_EQ(h.axis(0_c).shape(), 4);
BOOST_TEST_EQ(h.axis(1_c).size(), 3);
BOOST_TEST_EQ(h.axis(1_c).shape(), 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(), axis::regular<>(2, -1, 1),
axis::integer<>(-1, 2, "", axis::uoflow::off));
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(), axis::integer<>(0, 3),
axis::integer<>(0, 4),
axis::integer<>(0, 5));
for (auto i = 0; i < h.axis(0_c).size(); ++i) {
for (auto j = 0; j < h.axis(1_c).size(); ++j) {
for (auto k = 0; k < h.axis(2_c).size(); ++k) {
h.fill(weight(i + j + k), i, j, k);
}
}
}
for (auto i = 0; i < h.axis(0_c).size(); ++i) {
for (auto j = 0; j < h.axis(1_c).size(); ++j) {
for (auto k = 0; k < h.axis(2_c).size(); ++k) {
BOOST_TEST_EQ(h.value(i, j, k), i + j + k);
}
}
}
}
// add_1
{
auto a = make_histogram<adaptive_storage>(Type(), axis::integer<>(-1, 2));
auto b =
make_histogram<array_storage<unsigned>>(Type(), axis::integer<>(-1, 2));
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(), axis::integer<>(0, 2));
auto b = make_histogram<adaptive_storage>(Type(), axis::integer<>(0, 2));
a.fill(0);
BOOST_TEST_EQ(a.variance(0), 1);
b.fill(1, weight(3));
BOOST_TEST_EQ(b.variance(1), 9);
auto c = a;
c += b;
BOOST_TEST_EQ(c.value(-1), 0);
BOOST_TEST_EQ(c.value(0), 1);
BOOST_TEST_EQ(c.variance(0), 1);
BOOST_TEST_EQ(c.value(1), 3);
BOOST_TEST_EQ(c.variance(1), 9);
BOOST_TEST_EQ(c.value(2), 0);
auto d = a;
d += b;
BOOST_TEST_EQ(d.value(-1), 0);
BOOST_TEST_EQ(d.value(0), 1);
BOOST_TEST_EQ(d.variance(0), 1);
BOOST_TEST_EQ(d.value(1), 3);
BOOST_TEST_EQ(d.variance(1), 9);
BOOST_TEST_EQ(d.value(2), 0);
}
// add_3
{
auto a =
make_histogram<array_storage<char>>(Type(), axis::integer<>(-1, 2));
auto b =
make_histogram<array_storage<unsigned>>(Type(), axis::integer<>(-1, 2));
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(), axis::integer<>(0, 2));
auto b = make_histogram<adaptive_storage>(Type(), axis::integer<>(0, 3));
BOOST_TEST_THROWS(a += b, std::logic_error);
}
// bad_index
{
auto a = make_histogram<adaptive_storage>(Type(), axis::integer<>(0, 2));
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(), axis::integer<>(0, 10));
std::for_each(v.begin(), v.end(), [&h](int x) { h.fill(weight(2.0), x); });
BOOST_TEST_EQ(h.sum(), 20.0);
}
// operators
{
auto a = make_histogram<adaptive_storage>(Type(), axis::integer<>(0, 3));
auto b = a;
a.fill(0);
b.fill(1);
auto c = a + b;
BOOST_TEST_EQ(c.value(0), 1);
BOOST_TEST_EQ(c.value(1), 1);
c += b;
BOOST_TEST_EQ(c.value(0), 1);
BOOST_TEST_EQ(c.value(1), 2);
auto d = a + b + c;
BOOST_TEST_EQ(d.value(0), 2);
BOOST_TEST_EQ(d.value(1), 3);
auto e = 3 * a;
auto f = b * 2;
BOOST_TEST_EQ(e.value(0), 3);
BOOST_TEST_EQ(e.value(1), 0);
BOOST_TEST_EQ(f.value(0), 0);
BOOST_TEST_EQ(f.value(1), 2);
auto r = a;
r += b;
r += e;
BOOST_TEST_EQ(r.value(0), 4);
BOOST_TEST_EQ(r.value(1), 1);
BOOST_TEST_EQ(r, a + b + 3 * a);
auto s = r / 4;
r /= 4;
BOOST_TEST_EQ(r.value(0), 1);
BOOST_TEST_EQ(r.value(1), 0.25);
BOOST_TEST_EQ(r, s);
}
// histogram_serialization
{
enum { A, B, C };
auto a = make_histogram<adaptive_storage>(
Type(), axis::regular<>(3, -1, 1, "r"),
axis::circular<>(4, 0.0, 1.0, "p"),
axis::regular<double, axis::transform::log>(3, 1, 100, "lr"),
axis::variable<>({0.1, 0.2, 0.3, 0.4, 0.5}, "v"),
axis::category<>{A, B, C}, axis::integer<>(0, 2, "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_NE(a, b);
{
std::istringstream is(buf);
boost::archive::text_iarchive ia(is);
ia >> b;
}
BOOST_TEST_EQ(a, b);
}
// histogram_ostream
{
auto a = make_histogram<adaptive_storage>(
Type(), axis::regular<>(3, -1, 1, "r"), axis::integer<>(0, 2, "i"));
std::ostringstream os;
os << a;
BOOST_TEST_EQ(os.str(), "histogram("
"\n regular(3, -1, 1, label='r'),"
"\n integer(0, 2, label='i'),"
"\n)");
}
// histogram_reset
{
auto a = make_histogram<adaptive_storage>(
Type(), axis::integer<>(0, 2, "", axis::uoflow::off));
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);
}
// reduce
{
auto h1 = make_histogram<adaptive_storage>(Type(), axis::integer<>(0, 2),
axis::integer<>(0, 3));
h1.fill(0, 0);
h1.fill(0, 1);
h1.fill(1, 0);
h1.fill(1, 1);
h1.fill(1, 2);
auto h1_0 = h1.reduce_to(0_c);
BOOST_TEST_EQ(h1_0.dim(), 1);
BOOST_TEST_EQ(h1_0.sum(), 5);
BOOST_TEST_EQ(h1_0.value(0), 2);
BOOST_TEST_EQ(h1_0.value(1), 3);
BOOST_TEST_EQ(h1_0.axis()[0].lower(), 0);
BOOST_TEST_EQ(h1_0.axis()[1].lower(), 1);
BOOST_TEST(axis_equal(Type(), h1_0.axis(), h1.axis(0_c)));
auto h1_1 = h1.reduce_to(1_c);
BOOST_TEST_EQ(h1_1.dim(), 1);
BOOST_TEST_EQ(h1_1.sum(), 5);
BOOST_TEST_EQ(h1_1.value(0), 2);
BOOST_TEST_EQ(h1_1.value(1), 2);
BOOST_TEST_EQ(h1_1.value(2), 1);
BOOST_TEST(axis_equal(Type(), h1_1.axis(), h1.axis(1_c)));
auto h2 = make_histogram<adaptive_storage>(Type(), axis::integer<>(0, 2),
axis::integer<>(0, 3),
axis::integer<>(0, 4));
h2.fill(0, 0, 0);
h2.fill(0, 1, 0);
h2.fill(0, 1, 1);
h2.fill(0, 0, 2);
h2.fill(1, 0, 2);
auto h2_0 = h2.reduce_to(0_c);
BOOST_TEST_EQ(h2_0.dim(), 1);
BOOST_TEST_EQ(h2_0.sum(), 5);
BOOST_TEST_EQ(h2_0.value(0), 4);
BOOST_TEST_EQ(h2_0.value(1), 1);
BOOST_TEST(axis_equal(Type(), h2_0.axis(), axis::integer<>(0, 2)));
auto h2_1 = h2.reduce_to(1_c);
BOOST_TEST_EQ(h2_1.dim(), 1);
BOOST_TEST_EQ(h2_1.sum(), 5);
BOOST_TEST_EQ(h2_1.value(0), 3);
BOOST_TEST_EQ(h2_1.value(1), 2);
BOOST_TEST(axis_equal(Type(), h2_1.axis(), axis::integer<>(0, 3)));
auto h2_2 = h2.reduce_to(2_c);
BOOST_TEST_EQ(h2_2.dim(), 1);
BOOST_TEST_EQ(h2_2.sum(), 5);
BOOST_TEST_EQ(h2_2.value(0), 2);
BOOST_TEST_EQ(h2_2.value(1), 1);
BOOST_TEST_EQ(h2_2.value(2), 2);
BOOST_TEST(axis_equal(Type(), h2_2.axis(), axis::integer<>(0, 4)));
auto h2_01 = h2.reduce_to(0_c, 1_c);
BOOST_TEST_EQ(h2_01.dim(), 2);
BOOST_TEST_EQ(h2_01.sum(), 5);
BOOST_TEST_EQ(h2_01.value(0, 0), 2);
BOOST_TEST_EQ(h2_01.value(0, 1), 2);
BOOST_TEST_EQ(h2_01.value(1, 0), 1);
BOOST_TEST(axis_equal(Type(), h2_01.axis(0_c), axis::integer<>(0, 2)));
BOOST_TEST(axis_equal(Type(), h2_01.axis(1_c), axis::integer<>(0, 3)));
auto h2_02 = h2.reduce_to(0_c, 2_c);
BOOST_TEST_EQ(h2_02.dim(), 2);
BOOST_TEST_EQ(h2_02.sum(), 5);
BOOST_TEST_EQ(h2_02.value(0, 0), 2);
BOOST_TEST_EQ(h2_02.value(0, 1), 1);
BOOST_TEST_EQ(h2_02.value(0, 2), 1);
BOOST_TEST_EQ(h2_02.value(1, 2), 1);
BOOST_TEST(axis_equal(Type(), h2_02.axis(0_c), axis::integer<>(0, 2)));
BOOST_TEST(axis_equal(Type(), h2_02.axis(1_c), axis::integer<>(0, 4)));
auto h2_12 = h2.reduce_to(1_c, 2_c);
BOOST_TEST_EQ(h2_12.dim(), 2);
BOOST_TEST_EQ(h2_12.sum(), 5);
BOOST_TEST_EQ(h2_12.value(0, 0), 1);
BOOST_TEST_EQ(h2_12.value(1, 0), 1);
BOOST_TEST_EQ(h2_12.value(1, 1), 1);
BOOST_TEST_EQ(h2_12.value(0, 2), 2);
BOOST_TEST(axis_equal(Type(), h2_12.axis(0_c), axis::integer<>(0, 3)));
BOOST_TEST(axis_equal(Type(), h2_12.axis(1_c), axis::integer<>(0, 4)));
}
// custom axis
{
struct custom_axis : public axis::integer<> {
using value_type = const char *; // type that is fed to the axis
using integer::integer; // inherit ctors of base
// the customization point
// - accept const char* and convert to int
// - then call index method of base class
int index(value_type s) const { return integer::index(std::atoi(s)); }
};
auto h = make_histogram<adaptive_storage>(Type(), custom_axis(0, 3));
h.fill("-10");
h.fill("0");
h.fill("1");
h.fill("9");
BOOST_TEST_EQ(h.dim(), 1);
BOOST_TEST(h.axis() == custom_axis(0, 3));
BOOST_TEST_EQ(h.value(0), 1);
BOOST_TEST_EQ(h.value(1), 1);
BOOST_TEST_EQ(h.value(2), 0);
}
// value iterator
{
auto h = make_histogram<adaptive_storage>(Type(), axis::integer<>(0, 3),
axis::integer<>(2, 4));
h.fill(0, 2);
h.fill(1, 2);
h.fill(1, 3);
auto it = h.begin();
BOOST_TEST_EQ(it.dim(), 2);
BOOST_TEST_EQ(it.idx(0), 0);
BOOST_TEST_EQ(it.idx(1), 0);
BOOST_TEST_EQ(*it, 1);
BOOST_TEST_EQ(h.value(it.idx(0), it.idx(1)), *it);
++it;
BOOST_TEST_EQ(it.idx(0), 1);
BOOST_TEST_EQ(it.idx(1), 0);
BOOST_TEST_EQ(*it, 1);
BOOST_TEST_EQ(h.value(it.idx(0), it.idx(1)), *it);
++it;
BOOST_TEST_EQ(it.idx(0), 2);
BOOST_TEST_EQ(it.idx(1), 0);
BOOST_TEST_EQ(*it, 0);
BOOST_TEST_EQ(h.value(it.idx(0), it.idx(1)), *it);
++it;
BOOST_TEST_EQ(it.idx(0), 0);
BOOST_TEST_EQ(it.idx(1), 1);
BOOST_TEST_EQ(*it, 0);
BOOST_TEST_EQ(h.value(it.idx(0), it.idx(1)), *it);
++it;
BOOST_TEST_EQ(it.idx(0), 1);
BOOST_TEST_EQ(it.idx(1), 1);
BOOST_TEST_EQ(*it, 1);
BOOST_TEST_EQ(h.value(it.idx(0), it.idx(1)), *it);
++it;
BOOST_TEST_EQ(it.idx(0), 2);
BOOST_TEST_EQ(it.idx(1), 1);
BOOST_TEST_EQ(*it, 0);
BOOST_TEST_EQ(h.value(it.idx(0), it.idx(1)), *it);
++it;
BOOST_TEST(it == h.end());
}
// pass histogram to function
{
auto h = make_histogram<adaptive_storage>(Type(), axis::integer<>(0, 3));
pass_histogram(h);
}
}
template <typename T1, typename T2> void run_mixed_tests() {
// compare
{
auto a = make_histogram<adaptive_storage>(T1{}, axis::regular<>{3, 0, 3},
axis::integer<>(0, 2));
auto b = make_histogram<array_storage<int>>(T2{}, axis::regular<>{3, 0, 3},
axis::integer<>(0, 2));
BOOST_TEST_EQ(a, b);
auto b2 = make_histogram<adaptive_storage>(T2{}, axis::integer<>{0, 3},
axis::integer<>(0, 2));
BOOST_TEST_NE(a, b2);
auto b3 = make_histogram<adaptive_storage>(T2{}, axis::regular<>(3, 0, 4),
axis::integer<>(0, 2));
BOOST_TEST_NE(a, b3);
}
// copy_assign
{
auto a = make_histogram<adaptive_storage>(T1{}, axis::regular<>{3, 0, 3},
axis::integer<>(0, 2));
auto b = make_histogram<array_storage<int>>(T2{}, axis::regular<>{3, 0, 3},
axis::integer<>(0, 2));
a.fill(1, 1);
BOOST_TEST_NE(a, b);
b = a;
BOOST_TEST_EQ(a, b);
}
}
int main() {
// common interface
run_tests<static_tag>();
run_tests<dynamic_tag>();
// special stuff that only works with dynamic_tag
// init
{
auto v = std::vector<axis::any<>>();
v.push_back(axis::regular<>(4, -1, 1));
v.push_back(axis::integer<>(1, 7));
auto h = make_dynamic_histogram(v.begin(), v.end());
BOOST_TEST_EQ(h.axis(0), v[0]);
BOOST_TEST_EQ(h.axis(1), v[1]);
}
// using iterator ranges
{
auto h = make_dynamic_histogram(axis::regular<>(2, -1, 1),
axis::regular<>(2, 2, 4));
auto v = std::vector<double>(2);
v = {-0.5, 2.5};
h.fill(v.begin(), v.end());
v = {0.5, 3.5};
h.fill(v.begin(), v.end());
auto i = std::vector<int>(2);
i = {0, 0};
BOOST_TEST_EQ(h.value(i.begin(), i.end()), 1);
i = {1, 1};
BOOST_TEST_EQ(h.variance(i.begin(), i.end()), 1);
}
// axis methods
{
enum { A, B };
auto c = make_dynamic_histogram(axis::category<>({A, B}));
BOOST_TEST_THROWS(c.axis()[0].lower(), std::runtime_error);
BOOST_TEST_THROWS(c.axis()[0].upper(), std::runtime_error);
}
// reduce
{
auto h1 =
make_dynamic_histogram(axis::integer<>(0, 2), axis::integer<>(0, 3));
h1.fill(0, 0);
h1.fill(0, 1);
h1.fill(1, 0);
h1.fill(1, 1);
h1.fill(1, 2);
auto h1_0 = h1.reduce_to(0);
BOOST_TEST_EQ(h1_0.dim(), 1);
BOOST_TEST_EQ(h1_0.sum(), 5);
BOOST_TEST_EQ(h1_0.value(0), 2);
BOOST_TEST_EQ(h1_0.value(1), 3);
BOOST_TEST(axis_equal(dynamic_tag(), h1_0.axis(), h1.axis(0_c)));
auto h1_1 = h1.reduce_to(1);
BOOST_TEST_EQ(h1_1.dim(), 1);
BOOST_TEST_EQ(h1_1.sum(), 5);
BOOST_TEST_EQ(h1_1.value(0), 2);
BOOST_TEST_EQ(h1_1.value(1), 2);
BOOST_TEST_EQ(h1_1.value(2), 1);
BOOST_TEST(axis_equal(dynamic_tag(), h1_1.axis(), h1.axis(1_c)));
}
run_mixed_tests<static_tag, dynamic_tag>();
run_mixed_tests<dynamic_tag, static_tag>();
return boost::report_errors();
}
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