std::ranges::stable_partition
(on partitioned ranges)
std::ranges
<algorithm>
class Proj = std::identity,
std::indirect_unary_predicate <std::projected <I, Proj>> Pred >
requires std::permutable <I>
ranges::subrange <I>
std::indirect_unary_predicate <
std::projected <ranges::iterator_t <R>, Proj>> Pred >
requires std::permutable <ranges::iterator_t <R>>
ranges::borrowed_subrange_t <R>
[
first,
last)
in such a way that the projection proj of all elements for which the predicate pred returns true precede the projection proj of elements for which predicate pred returns false. The algorithms is stable, i.e. the relative order of elements is preserved.The function-like entities described on this page are algorithm function objects (informally known as niebloids), that is:
pivot
is an iterator to the first element of the second group.borrowed_range
type. Otherwise returns std::ranges::dangling .Given N = ranges::distance (first, last), the complexity is at worst \(\scriptsize N\cdot\log{(N)}\)N·log(N) swaps, and only \(\scriptsize \mathcal{O}(N)\)O(N) swaps in case an extra memory buffer is used. Exactly \(\scriptsize N\)N applications of the predicate pred and projection proj.
This function attempts to allocate a temporary buffer. If the allocation fails, the less efficient algorithm is chosen.
Feature-test macro | Value | Std | Feature |
---|---|---|---|
__cpp_lib_constexpr_algorithms |
202306L |
(C++26) | constexpr stable sorting |
This implementation does not use extra memory buffer and as such can be less efficient. See also the implementation in MSVC STL and libstdc++.
struct stable_partition_fn { template<std::bidirectional_iterator I, std::sentinel_for <I> S, class Proj = std::identity, std::indirect_unary_predicate <std::projected <I, Proj>> Pred> requires std::permutable <I> constexpr ranges::subrange <I> operator()(I first, S last, Pred pred, Proj proj = {}) const { first = ranges::find_if_not (first, last, pred, proj); I mid = first; while (mid != last) { mid = ranges::find_if (mid, last, pred, proj); if (mid == last) break; I last2 = ranges::find_if_not (mid, last, pred, proj); ranges::rotate (first, mid, last2); first = ranges::next (first, ranges::distance (mid, last2)); mid = last2; } return {std::move(first), std::move(mid)}; } template<ranges::bidirectional_range R, class Proj = std::identity, std::indirect_unary_predicate < std::projected <ranges::iterator_t <R>, Proj>> Pred> requires std::permutable <ranges::iterator_t <R>> constexpr ranges::borrowed_subrange_t <R> operator()(R&& r, Pred pred, Proj proj = {}) const { return (*this)(ranges::begin (r), ranges::end (r), std::move(pred), std::move(proj)); } }; inline constexpr stable_partition_fn stable_partition {};
#include <algorithm> #include <iostream> #include <iterator> #include <vector> namespace rng = std::ranges; template<std::permutable I, std::sentinel_for <I> S> constexpr void stable_sort(I first, S last) { if (first == last) return; auto pivot = *rng::next(first, rng::distance(first, last) / 2, last); auto left = [pivot](const auto& em) { return em < pivot; }; auto tail1 = rng::stable_partition(first, last, left); auto right = [pivot](const auto& em) { return !(pivot < em); }; auto tail2 = rng::stable_partition(tail1, right); stable_sort(first, tail1.begin()); stable_sort(tail2.begin(), tail2.end()); } void print(const auto rem, auto first, auto last, bool end = true) { std::cout << rem; for (; first != last; ++first) std::cout << *first << ' '; std::cout << (end ? "\n" : ""); } int main() { const auto original = {9, 6, 5, 2, 3, 1, 7, 8}; std::vector <int> vi {}; auto even = [](int x) { return 0 == (x % 2); }; print("Original vector:\t", original.begin(), original.end(), "\n"); vi = original; const auto ret1 = rng::stable_partition(vi, even); print("Stable partitioned:\t", vi.begin(), ret1.begin(), 0); print("│ ", ret1.begin(), ret1.end()); vi = original; const auto ret2 = rng::partition(vi, even); print("Partitioned:\t\t", vi.begin(), ret2.begin(), 0); print("│ ", ret2.begin(), ret2.end()); vi = {16, 30, 44, 30, 15, 24, 10, 18, 12, 35}; print("Unsorted vector: ", vi.begin(), vi.end()); stable_sort(rng::begin(vi), rng::end(vi)); print("Sorted vector: ", vi.begin(), vi.end()); }
Possible output:
Original vector: 9 6 5 2 3 1 7 8 Stable partitioned: 6 2 8 │ 9 5 3 1 7 Partitioned: 8 6 2 │ 5 3 1 7 9 Unsorted vector: 16 30 44 30 15 24 10 18 12 35 Sorted vector: 10 12 15 16 18 24 30 30 35 44