summaryrefslogtreecommitdiff
path: root/boost/histogram/detail/linearize.hpp
diff options
context:
space:
mode:
Diffstat (limited to 'boost/histogram/detail/linearize.hpp')
-rw-r--r--boost/histogram/detail/linearize.hpp337
1 files changed, 337 insertions, 0 deletions
diff --git a/boost/histogram/detail/linearize.hpp b/boost/histogram/detail/linearize.hpp
new file mode 100644
index 0000000000..e07590ab4d
--- /dev/null
+++ b/boost/histogram/detail/linearize.hpp
@@ -0,0 +1,337 @@
+// 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)
+
+#ifndef BOOST_HISTOGRAM_DETAIL_LINEARIZE_HPP
+#define BOOST_HISTOGRAM_DETAIL_LINEARIZE_HPP
+
+#include <algorithm>
+#include <boost/assert.hpp>
+#include <boost/histogram/axis/traits.hpp>
+#include <boost/histogram/axis/variant.hpp>
+#include <boost/histogram/detail/axes.hpp>
+#include <boost/histogram/detail/meta.hpp>
+#include <boost/histogram/fwd.hpp>
+#include <boost/histogram/unsafe_access.hpp>
+#include <boost/mp11/algorithm.hpp>
+#include <boost/mp11/function.hpp>
+#include <boost/mp11/integral.hpp>
+#include <boost/mp11/list.hpp>
+#include <boost/mp11/tuple.hpp>
+#include <boost/throw_exception.hpp>
+#include <stdexcept>
+#include <tuple>
+#include <type_traits>
+
+namespace boost {
+namespace histogram {
+namespace detail {
+
+template <class T>
+struct is_accumulator_set : std::false_type {};
+
+template <class T>
+using has_underflow =
+ decltype(axis::traits::static_options<T>::test(axis::option::underflow));
+
+template <class T>
+struct is_growing
+ : decltype(axis::traits::static_options<T>::test(axis::option::growth)) {};
+
+template <class... Ts>
+struct is_growing<std::tuple<Ts...>> : mp11::mp_or<is_growing<Ts>...> {};
+
+template <class... Ts>
+struct is_growing<axis::variant<Ts...>> : mp11::mp_or<is_growing<Ts>...> {};
+
+template <class T>
+using has_growing_axis =
+ mp11::mp_if<is_vector_like<T>, is_growing<mp11::mp_first<T>>, is_growing<T>>;
+
+/// Index with an invalid state
+struct optional_index {
+ std::size_t idx = 0;
+ std::size_t stride = 1;
+ operator bool() const { return stride > 0; }
+ std::size_t operator*() const { return idx; }
+};
+
+inline void linearize(optional_index& out, const axis::index_type extent,
+ const axis::index_type j) noexcept {
+ // j is internal index shifted by +1 if axis has underflow bin
+ out.idx += j * out.stride;
+ // set stride to 0, if j is invalid
+ out.stride *= (0 <= j && j < extent) * extent;
+}
+
+// for non-growing axis
+template <class Axis, class Value>
+void linearize_value(optional_index& o, const Axis& a, const Value& v) {
+ using B = decltype(axis::traits::static_options<Axis>::test(axis::option::underflow));
+ const auto j = axis::traits::index(a, v) + B::value;
+ linearize(o, axis::traits::extent(a), j);
+}
+
+// for variant that does not contain any growing axis
+template <class... Ts, class Value>
+void linearize_value(optional_index& o, const axis::variant<Ts...>& a, const Value& v) {
+ axis::visit([&o, &v](const auto& a) { linearize_value(o, a, v); }, a);
+}
+
+// for growing axis
+template <class Axis, class Value>
+void linearize_value(optional_index& o, axis::index_type& s, Axis& a, const Value& v) {
+ axis::index_type j;
+ std::tie(j, s) = axis::traits::update(a, v);
+ j += has_underflow<Axis>::value;
+ linearize(o, axis::traits::extent(a), j);
+}
+
+// for variant which contains at least one growing axis
+template <class... Ts, class Value>
+void linearize_value(optional_index& o, axis::index_type& s, axis::variant<Ts...>& a,
+ const Value& v) {
+ axis::visit([&o, &s, &v](auto&& a) { linearize_value(o, s, a, v); }, a);
+}
+
+template <class A>
+void linearize_index(optional_index& out, const A& axis, const axis::index_type j) {
+ // A may be axis or variant, cannot use static option detection here
+ const auto opt = axis::traits::options(axis);
+ const auto shift = opt & axis::option::underflow ? 1 : 0;
+ const auto n = axis.size() + (opt & axis::option::overflow ? 1 : 0);
+ linearize(out, n + shift, j + shift);
+}
+
+template <class S, class A, class T>
+void maybe_replace_storage(S& storage, const A& axes, const T& shifts) {
+ bool update_needed = false;
+ auto sit = shifts;
+ for_each_axis(axes, [&](const auto&) { update_needed |= (*sit++ != 0); });
+ if (!update_needed) return;
+ struct item {
+ axis::index_type idx, old_extent;
+ std::size_t new_stride;
+ } data[buffer_size<A>::value];
+ sit = shifts;
+ auto dit = data;
+ std::size_t s = 1;
+ for_each_axis(axes, [&](const auto& a) {
+ const auto n = axis::traits::extent(a);
+ *dit++ = {0, n - std::abs(*sit++), s};
+ s *= n;
+ });
+ auto new_storage = make_default(storage);
+ new_storage.reset(detail::bincount(axes));
+ const auto dlast = data + get_size(axes) - 1;
+ for (const auto& x : storage) {
+ auto ns = new_storage.begin();
+ sit = shifts;
+ dit = data;
+ for_each_axis(axes, [&](const auto& a) {
+ using opt = axis::traits::static_options<decltype(a)>;
+ if (opt::test(axis::option::underflow)) {
+ if (dit->idx == 0) {
+ // axis has underflow and we are in the underflow bin:
+ // keep storage pointer unchanged
+ ++dit;
+ ++sit;
+ return;
+ }
+ }
+ if (opt::test(axis::option::overflow)) {
+ if (dit->idx == dit->old_extent - 1) {
+ // axis has overflow and we are in the overflow bin:
+ // move storage pointer to corresponding overflow bin position
+ ns += (axis::traits::extent(a) - 1) * dit->new_stride;
+ ++dit;
+ ++sit;
+ return;
+ }
+ }
+ // we are in a normal bin:
+ // move storage pointer to index position, apply positive shifts
+ ns += (dit->idx + std::max(*sit, 0)) * dit->new_stride;
+ ++dit;
+ ++sit;
+ });
+ // assign old value to new location
+ *ns = x;
+ // advance multi-dimensional index
+ dit = data;
+ ++dit->idx;
+ while (dit != dlast && dit->idx == dit->old_extent) {
+ dit->idx = 0;
+ ++(++dit)->idx;
+ }
+ }
+ storage = std::move(new_storage);
+}
+
+// special case: if histogram::operator()(tuple(1, 2)) is called on 1d histogram
+// with axis that accepts 2d tuple, this should not fail
+// - solution is to forward tuples of size > 1 directly to axis for 1d
+// histograms
+// - has nice side-effect of making histogram::operator(1, 2) work as well
+// - cannot detect call signature of axis at compile-time in all configurations
+// (axis::variant provides generic call interface and hides concrete
+// interface), so we throw at runtime if incompatible argument is passed (e.g.
+// 3d tuple)
+// histogram has only non-growing axes
+template <unsigned I, unsigned N, class S, class T, class U>
+optional_index args_to_index(std::false_type, S&, const T& axes, const U& args) {
+ optional_index idx;
+ const auto rank = get_size(axes);
+ if (rank == 1 && N > 1)
+ linearize_value(idx, axis_get<0>(axes), tuple_slice<I, N>(args));
+ else {
+ if (rank != N)
+ BOOST_THROW_EXCEPTION(
+ std::invalid_argument("number of arguments != histogram rank"));
+ constexpr unsigned M = buffer_size<remove_cvref_t<decltype(axes)>>::value;
+ mp11::mp_for_each<mp11::mp_iota_c<(N < M ? N : M)>>([&](auto J) {
+ linearize_value(idx, axis_get<J>(axes), std::get<(J + I)>(args));
+ });
+ }
+ return idx;
+}
+
+// histogram has growing axes
+template <unsigned I, unsigned N, class S, class T, class U>
+optional_index args_to_index(std::true_type, S& storage, T& axes, const U& args) {
+ optional_index idx;
+ axis::index_type shifts[buffer_size<T>::value];
+ const auto rank = get_size(axes);
+ if (rank == 1 && N > 1)
+ linearize_value(idx, shifts[0], axis_get<0>(axes), tuple_slice<I, N>(args));
+ else {
+ if (rank != N)
+ BOOST_THROW_EXCEPTION(
+ std::invalid_argument("number of arguments != histogram rank"));
+ constexpr unsigned M = buffer_size<remove_cvref_t<decltype(axes)>>::value;
+ mp11::mp_for_each<mp11::mp_iota_c<(N < M ? N : M)>>([&](auto J) {
+ linearize_value(idx, shifts[J], axis_get<J>(axes), std::get<(J + I)>(args));
+ });
+ }
+ maybe_replace_storage(storage, axes, shifts);
+ return idx;
+}
+
+template <typename U>
+constexpr auto weight_sample_indices() {
+ if (is_weight<U>::value) return std::make_pair(0, -1);
+ if (is_sample<U>::value) return std::make_pair(-1, 0);
+ return std::make_pair(-1, -1);
+}
+
+template <typename U0, typename U1, typename... Us>
+constexpr auto weight_sample_indices() {
+ using L = mp11::mp_list<U0, U1, Us...>;
+ const int n = sizeof...(Us) + 1;
+ if (is_weight<mp11::mp_at_c<L, 0>>::value) {
+ if (is_sample<mp11::mp_at_c<L, 1>>::value) return std::make_pair(0, 1);
+ if (is_sample<mp11::mp_at_c<L, n>>::value) return std::make_pair(0, n);
+ return std::make_pair(0, -1);
+ }
+ if (is_sample<mp11::mp_at_c<L, 0>>::value) {
+ if (is_weight<mp11::mp_at_c<L, 1>>::value) return std::make_pair(1, 0);
+ if (is_weight<mp11::mp_at_c<L, n>>::value) return std::make_pair(n, 0);
+ return std::make_pair(-1, 0);
+ }
+ if (is_weight<mp11::mp_at_c<L, n>>::value) {
+ // 0, n already covered
+ if (is_sample<mp11::mp_at_c<L, (n - 1)>>::value) return std::make_pair(n, n - 1);
+ return std::make_pair(n, -1);
+ }
+ if (is_sample<mp11::mp_at_c<L, n>>::value) {
+ // n, 0 already covered
+ if (is_weight<mp11::mp_at_c<L, (n - 1)>>::value) return std::make_pair(n - 1, n);
+ return std::make_pair(-1, n);
+ }
+ return std::make_pair(-1, -1);
+}
+
+template <class T, class U>
+void fill_storage(mp11::mp_int<-1>, mp11::mp_int<-1>, T&& t, U&&) {
+ static_if<is_incrementable<remove_cvref_t<T>>>(
+ [](auto&& t) { ++t; }, [](auto&& t) { t(); }, std::forward<T>(t));
+}
+
+template <class IW, class T, class U>
+void fill_storage(IW, mp11::mp_int<-1>, T&& t, U&& args) {
+ static_if<is_incrementable<remove_cvref_t<T>>>(
+ [](auto&& t, const auto& w) { t += w; },
+ [](auto&& t, const auto& w) {
+#ifdef BOOST_HISTOGRAM_WITH_ACCUMULATORS_SUPPORT
+ static_if<is_accumulator_set<remove_cvref_t<T>>>(
+ [w](auto&& t) { t(::boost::accumulators::weight = w); },
+ [w](auto&& t) { t(w); }, t);
+#else
+ t(w);
+#endif
+ },
+ std::forward<T>(t), std::get<IW::value>(args).value);
+}
+
+template <class IS, class T, class U>
+void fill_storage(mp11::mp_int<-1>, IS, T&& t, U&& args) {
+ mp11::tuple_apply([&t](auto&&... args) { t(args...); },
+ std::get<IS::value>(args).value);
+}
+
+template <class IW, class IS, class T, class U>
+void fill_storage(IW, IS, T&& t, U&& args) {
+ mp11::tuple_apply(
+ [&](auto&&... args2) { t(std::get<IW::value>(args).value, args2...); },
+ std::get<IS::value>(args).value);
+}
+
+template <class S, class A, class... Us>
+auto fill(S& storage, A& axes, const std::tuple<Us...>& args) {
+ constexpr auto iws = weight_sample_indices<Us...>();
+ constexpr unsigned n = sizeof...(Us) - (iws.first > -1) - (iws.second > -1);
+ constexpr unsigned i = (iws.first == 0 || iws.second == 0)
+ ? (iws.first == 1 || iws.second == 1 ? 2 : 1)
+ : 0;
+ optional_index idx = args_to_index<i, n>(has_growing_axis<A>(), storage, axes, args);
+ if (idx) {
+ fill_storage(mp11::mp_int<iws.first>(), mp11::mp_int<iws.second>(), storage[*idx],
+ args);
+ return storage.begin() + *idx;
+ }
+ return storage.end();
+}
+
+template <typename A, typename... Us>
+optional_index at(const A& axes, const std::tuple<Us...>& args) {
+ if (get_size(axes) != sizeof...(Us))
+ BOOST_THROW_EXCEPTION(std::invalid_argument("number of arguments != histogram rank"));
+ optional_index idx;
+ mp11::mp_for_each<mp11::mp_iota_c<sizeof...(Us)>>([&](auto I) {
+ // axes_get works with static and dynamic axes
+ linearize_index(idx, axis_get<I>(axes),
+ static_cast<axis::index_type>(std::get<I>(args)));
+ });
+ return idx;
+}
+
+template <typename A, typename U>
+optional_index at(const A& axes, const U& args) {
+ if (get_size(axes) != get_size(args))
+ BOOST_THROW_EXCEPTION(std::invalid_argument("number of arguments != histogram rank"));
+ optional_index idx;
+ using std::begin;
+ auto it = begin(args);
+ for_each_axis(axes, [&](const auto& a) {
+ linearize_index(idx, a, static_cast<axis::index_type>(*it++));
+ });
+ return idx;
+}
+
+} // namespace detail
+} // namespace histogram
+} // namespace boost
+
+#endif