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ba24e86fdd
The main difference between them is that IntrusiveBinaryHeap can optionally maintain an index inside every stored node that allows arbitrary nodes to be deleted.
182 lines
4.0 KiB
C++
182 lines
4.0 KiB
C++
/*
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* Copyright (c) 2021, Idan Horowitz <idan.horowitz@serenityos.org>
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*
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* SPDX-License-Identifier: BSD-2-Clause
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*/
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#pragma once
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#include <AK/Noncopyable.h>
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#include <AK/Vector.h>
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namespace AK {
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template<typename Node, typename Comparator, typename IndexSetter, size_t inline_capacity = 0>
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class IntrusiveBinaryHeap {
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AK_MAKE_DEFAULT_COPYABLE(IntrusiveBinaryHeap);
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AK_MAKE_DEFAULT_MOVABLE(IntrusiveBinaryHeap);
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public:
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IntrusiveBinaryHeap() = default;
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IntrusiveBinaryHeap(Vector<Node, inline_capacity>&& nodes)
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: m_nodes(move(nodes))
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{
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for (ssize_t i = m_nodes.size() / 2; i--;)
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heapify_down(i);
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}
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[[nodiscard]] size_t size() const { return m_nodes.size(); }
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[[nodiscard]] bool is_empty() const { return m_nodes.is_empty(); }
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void insert(Node const& node)
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{
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m_nodes.append(node);
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IndexSetter {}(m_nodes.last(), m_nodes.size() - 1);
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heapify_up(m_nodes.size() - 1);
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}
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void insert(Node&& node)
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{
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m_nodes.append(move(node));
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IndexSetter {}(m_nodes.last(), m_nodes.size() - 1);
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heapify_up(m_nodes.size() - 1);
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}
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Node pop(size_t i)
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{
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while (i != 0) {
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swap_indices(i, (i - 1) / 2);
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i = (i - 1) / 2;
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}
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swap_indices(0, m_nodes.size() - 1);
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Node node = m_nodes.take_last();
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heapify_down(0);
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return node;
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}
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Node pop_min()
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{
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return pop(0);
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}
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Node const& peek_min() const
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{
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return m_nodes[0];
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}
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void clear()
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{
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m_nodes.clear();
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}
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ReadonlySpan<Node> nodes_in_arbitrary_order() const
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{
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return m_nodes;
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}
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private:
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void swap_indices(size_t i, size_t j)
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{
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swap(m_nodes[i], m_nodes[j]);
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IndexSetter {}(m_nodes[i], i);
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IndexSetter {}(m_nodes[j], j);
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}
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bool compare_indices(size_t i, size_t j)
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{
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return Comparator {}(m_nodes[i], m_nodes[j]);
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}
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void heapify_up(size_t i)
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{
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while (i != 0) {
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auto parent = (i - 1) / 2;
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if (compare_indices(parent, i))
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break;
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swap_indices(i, parent);
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i = parent;
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}
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}
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void heapify_down(size_t i)
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{
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while (i * 2 + 1 < size()) {
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size_t min_child = i * 2 + 1;
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size_t other_child = i * 2 + 2;
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if (other_child < size() && compare_indices(other_child, min_child))
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min_child = other_child;
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if (compare_indices(i, min_child))
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break;
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swap_indices(i, min_child);
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i = min_child;
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}
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}
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Vector<Node, inline_capacity> m_nodes;
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};
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template<typename K, typename V, size_t inline_capacity>
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class BinaryHeap {
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public:
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BinaryHeap() = default;
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~BinaryHeap() = default;
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// This constructor allows for O(n) construction of the heap (instead of O(nlogn) for repeated insertions)
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BinaryHeap(K keys[], V values[], size_t size)
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{
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Vector<Node, inline_capacity> nodes;
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nodes.ensure_capacity(size);
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for (size_t i = 0; i < size; i++)
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nodes.unchecked_append({ keys[i], values[i] });
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m_heap = decltype(m_heap) { move(nodes) };
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}
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[[nodiscard]] size_t size() const { return m_heap.size(); }
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[[nodiscard]] bool is_empty() const { return m_heap.is_empty(); }
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void insert(K key, V value)
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{
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m_heap.insert({ key, value });
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}
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V pop_min()
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{
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return m_heap.pop_min().value;
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}
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[[nodiscard]] V const& peek_min() const
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{
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return m_heap.peek_min().value;
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}
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[[nodiscard]] K const& peek_min_key() const
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{
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return m_heap.peek_min().key;
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}
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void clear()
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{
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m_heap.clear();
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}
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private:
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struct Node {
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K key;
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V value;
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};
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IntrusiveBinaryHeap<
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Node,
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decltype([](Node const& a, Node const& b) { return a.key < b.key; }),
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decltype([](Node&, size_t) {})>
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m_heap;
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};
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}
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#if USING_AK_GLOBALLY
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using AK::BinaryHeap;
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using AK::IntrusiveBinaryHeap;
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#endif
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