92a873c746
* introduce offset for faster linearization of non-growing axes * added traits::is_inclusive and constexpr bool inclusive() methods for builtin axes * bug fixes for fill method when weight array is used with non-inclusive axis and when growing axes are used * bug fix of axis::options::test(...) * coverage tested with gcc-8, updated CONTRIBUTING.md with coverage info
178 lines
5.6 KiB
C++
178 lines
5.6 KiB
C++
// Copyright 2015-2017 Hans Dembinski
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//
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// Distributed under the Boost Software License, Version 1.0.
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// (See accompanying file LICENSE_1_0.txt
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// or copy at http://www.boost.org/LICENSE_1_0.txt)
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#include <array>
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#include <boost/core/lightweight_test.hpp>
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#include <boost/core/lightweight_test_trait.hpp>
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#include <boost/histogram/axis.hpp>
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#include <boost/histogram/axis/ostream.hpp>
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#include <boost/histogram/detail/axes.hpp>
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#include <limits>
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#include <tuple>
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#include <utility>
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#include <vector>
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#include "std_ostream.hpp"
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#include "throw_exception.hpp"
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using namespace boost::histogram;
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int main() {
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// dynamic axis_get with tuples
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{
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auto a1 = axis::integer<>(0, 1);
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auto a2 = axis::integer<>(1, 2);
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auto tup = std::make_tuple(a1, a2);
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using E1 = axis::variant<axis::integer<>*>;
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BOOST_TEST_TRAIT_SAME(decltype(detail::axis_get(tup, 0)), E1);
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BOOST_TEST_EQ(detail::axis_get(tup, 0), a1);
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BOOST_TEST_EQ(detail::axis_get(tup, 1), a2);
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BOOST_TEST_NE(detail::axis_get(tup, 0), a2);
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}
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// sequence equality
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{
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using R = axis::regular<>;
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using I = axis::integer<>;
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using V = axis::variable<>;
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auto r = R(2, -1, 1);
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auto i = I(-1, 1);
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auto v = V{-1, 0, 1};
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std::vector<axis::variant<R, I, V>> v1 = {r, i};
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std::vector<axis::variant<R, I>> v2 = {r, i};
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std::vector<axis::variant<R, I>> v3 = {i, r};
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std::vector<axis::variant<I, R>> v4 = {r, i};
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std::vector<axis::variant<R, I>> v5 = {r, r};
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std::vector<R> v6 = {r, r};
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BOOST_TEST(detail::axes_equal(v1, v2));
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BOOST_TEST(detail::axes_equal(v1, v4));
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BOOST_TEST(detail::axes_equal(v5, v6));
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BOOST_TEST_NOT(detail::axes_equal(v1, v3));
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BOOST_TEST_NOT(detail::axes_equal(v2, v3));
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BOOST_TEST_NOT(detail::axes_equal(v3, v4));
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BOOST_TEST_NOT(detail::axes_equal(v1, v5));
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auto t1 = std::make_tuple(r, i);
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auto t2 = std::make_tuple(i, r);
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auto t3 = std::make_tuple(v, i);
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auto t4 = std::make_tuple(r, r);
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BOOST_TEST(detail::axes_equal(t1, v1));
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BOOST_TEST(detail::axes_equal(t1, v2));
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BOOST_TEST(detail::axes_equal(t1, v4));
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BOOST_TEST(detail::axes_equal(v1, t1));
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BOOST_TEST(detail::axes_equal(v2, t1));
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BOOST_TEST(detail::axes_equal(v4, t1));
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BOOST_TEST(detail::axes_equal(t2, v3));
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BOOST_TEST(detail::axes_equal(v3, t2));
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BOOST_TEST(detail::axes_equal(t4, v5));
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BOOST_TEST(detail::axes_equal(t4, v6));
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BOOST_TEST_NOT(detail::axes_equal(t1, t2));
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BOOST_TEST_NOT(detail::axes_equal(t2, t3));
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BOOST_TEST_NOT(detail::axes_equal(t1, v3));
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BOOST_TEST_NOT(detail::axes_equal(t1, v3));
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BOOST_TEST_NOT(detail::axes_equal(t3, v1));
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BOOST_TEST_NOT(detail::axes_equal(t3, v2));
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BOOST_TEST_NOT(detail::axes_equal(t3, v3));
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BOOST_TEST_NOT(detail::axes_equal(t3, v4));
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}
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// sequence assign
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{
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using R = axis::regular<>;
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using I = axis::integer<>;
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using V = axis::variable<>;
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auto r = R(2, -1, 1);
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auto i = I(-1, 1);
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auto v = V{-1, 0, 1};
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std::vector<axis::variant<R, V, I>> v1 = {r, i};
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std::vector<axis::variant<I, R>> v2;
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std::vector<R> v3 = {r, r};
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BOOST_TEST_NOT(detail::axes_equal(v2, v1));
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detail::axes_assign(v2, v1);
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BOOST_TEST(detail::axes_equal(v2, v1));
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detail::axes_assign(v2, v3);
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BOOST_TEST(detail::axes_equal(v2, v3));
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auto t1 = std::make_tuple(r);
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detail::axes_assign(v3, t1);
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BOOST_TEST(detail::axes_equal(v3, t1));
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auto t2 = std::make_tuple(r, i);
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detail::axes_assign(v2, t2);
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BOOST_TEST(detail::axes_equal(v2, t2));
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auto t3 = std::make_tuple(R{3, -1, 1}, i);
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BOOST_TEST_NOT(detail::axes_equal(t2, t3));
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detail::axes_assign(t2, t3);
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BOOST_TEST(detail::axes_equal(t2, t3));
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}
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// axes_rank
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{
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std::tuple<int, int> a;
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std::vector<int> b(3);
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std::array<int, 4> c;
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const std::tuple<int> d;
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BOOST_TEST_EQ(detail::axes_rank(a), 2);
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BOOST_TEST_EQ(detail::axes_rank(b), 3);
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BOOST_TEST_EQ(detail::axes_rank(c), 4);
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BOOST_TEST_EQ(detail::axes_rank(d), 1);
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}
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// bincount overflow
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{
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auto v = std::vector<axis::integer<>>(
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100, axis::integer<>(0, (std::numeric_limits<int>::max)() - 2));
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BOOST_TEST_THROWS(detail::bincount(v), std::overflow_error);
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}
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// has_growing_axis
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{
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struct growing {
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auto update(int) { return std::make_pair(0, 0); }
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};
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using T = growing;
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using I = axis::integer<>;
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using A = std::tuple<I, T>;
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using B = std::vector<T>;
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using C = std::vector<axis::variant<I, T>>;
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using D = std::tuple<I>;
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using E = std::vector<I>;
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using F = std::vector<axis::variant<I>>;
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BOOST_TEST_TRAIT_TRUE((detail::has_growing_axis<A>));
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BOOST_TEST_TRAIT_TRUE((detail::has_growing_axis<B>));
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BOOST_TEST_TRAIT_TRUE((detail::has_growing_axis<C>));
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BOOST_TEST_TRAIT_FALSE((detail::has_growing_axis<D>));
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BOOST_TEST_TRAIT_FALSE((detail::has_growing_axis<E>));
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BOOST_TEST_TRAIT_FALSE((detail::has_growing_axis<F>));
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}
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// value_types
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{
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using R = axis::regular<float>;
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using I = axis::integer<int>;
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using CI = axis::category<int>;
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using CS = axis::category<std::string>;
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using A = std::vector<axis::variant<R, I, CS>>;
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using B = std::vector<axis::variant<CS, I, CI, R>>;
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using C = std::tuple<I, R, CS>;
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using D = std::tuple<CS, I, CI, R>;
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using Expected = boost::mp11::mp_list<int, float, std::string>;
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BOOST_TEST_TRAIT_SAME(detail::value_types<A>, Expected);
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BOOST_TEST_TRAIT_SAME(detail::value_types<B>, Expected);
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BOOST_TEST_TRAIT_SAME(detail::value_types<C>, Expected);
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BOOST_TEST_TRAIT_SAME(detail::value_types<D>, Expected);
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}
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return boost::report_errors();
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}
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