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This container is similar to the RedBlackTree container, but instead of transparently allocating tree nodes on insertion and freeing on removal this container piggybacks on intrusive node fields in the stored class
139 lines
4.4 KiB
C++
139 lines
4.4 KiB
C++
/*
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* Copyright (c) 2021, Idan Horowitz <idan.horowitz@gmail.com>
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* All rights reserved.
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*
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* Redistribution and use in source and binary forms, with or without
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* modification, are permitted provided that the following conditions are met:
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*
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* 1. Redistributions of source code must retain the above copyright notice, this
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* list of conditions and the following disclaimer.
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*
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* 2. Redistributions in binary form must reproduce the above copyright notice,
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* this list of conditions and the following disclaimer in the documentation
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* and/or other materials provided with the distribution.
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*
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* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
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* AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
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* DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
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* FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
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* DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
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* SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
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* CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
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* OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
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* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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*/
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#include <AK/TestSuite.h>
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#include <AK/IntrusiveRedBlackTree.h>
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#include <AK/NonnullOwnPtrVector.h>
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#include <AK/Random.h>
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class IntrusiveTest {
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public:
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IntrusiveTest(int key, int value)
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: m_tree_node(key)
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, m_some_value(value)
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{
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}
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IntrusiveRedBlackTreeNode<int> m_tree_node;
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int m_some_value;
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};
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TEST_CASE(construct)
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{
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IntrusiveRedBlackTree<int, IntrusiveTest, &IntrusiveTest::m_tree_node> empty;
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EXPECT(empty.is_empty());
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EXPECT(empty.size() == 0);
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}
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TEST_CASE(ints)
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{
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IntrusiveRedBlackTree<int, IntrusiveTest, &IntrusiveTest::m_tree_node> test;
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IntrusiveTest first { 1, 10 };
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test.insert(first);
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IntrusiveTest second { 3, 20 };
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test.insert(second);
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IntrusiveTest third { 2, 30 };
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test.insert(third);
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EXPECT_EQ(test.size(), 3u);
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EXPECT_EQ(test.find(3)->m_some_value, 20);
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EXPECT_EQ(test.find(2)->m_some_value, 30);
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EXPECT_EQ(test.find(1)->m_some_value, 10);
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EXPECT(!test.remove(4));
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EXPECT(test.remove(2));
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EXPECT(test.remove(1));
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EXPECT(test.remove(3));
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EXPECT_EQ(test.size(), 0u);
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}
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TEST_CASE(largest_smaller_than)
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{
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IntrusiveRedBlackTree<int, IntrusiveTest, &IntrusiveTest::m_tree_node> test;
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IntrusiveTest first { 1, 10 };
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test.insert(first);
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IntrusiveTest second { 11, 20 };
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test.insert(second);
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IntrusiveTest third { 21, 30 };
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test.insert(third);
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EXPECT_EQ(test.size(), 3u);
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EXPECT_EQ(test.find_largest_not_above(3)->m_some_value, 10);
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EXPECT_EQ(test.find_largest_not_above(17)->m_some_value, 20);
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EXPECT_EQ(test.find_largest_not_above(22)->m_some_value, 30);
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EXPECT_EQ(test.find_largest_not_above(-5), nullptr);
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VERIFY(test.remove(1));
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VERIFY(test.remove(11));
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VERIFY(test.remove(21));
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}
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TEST_CASE(key_ordered_iteration)
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{
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constexpr auto amount = 10000;
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IntrusiveRedBlackTree<int, IntrusiveTest, &IntrusiveTest::m_tree_node> test;
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NonnullOwnPtrVector<IntrusiveTest> m_entries;
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Array<int, amount> keys {};
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// generate random key order
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for (int i = 0; i < amount; i++) {
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keys[i] = i;
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}
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for (size_t i = 0; i < amount; i++) {
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swap(keys[i], keys[get_random<size_t>() % amount]);
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}
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// insert random keys
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for (size_t i = 0; i < amount; i++) {
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auto entry = make<IntrusiveTest>(keys[i], keys[i]);
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test.insert(*entry);
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m_entries.append(move(entry));
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}
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// check key-ordered iteration
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int index = 0;
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for (auto& value : test) {
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EXPECT(value.m_some_value == index++);
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}
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// ensure we can remove all of them (aka, tree structure is not destroyed somehow)
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for (size_t i = 0; i < amount; i++) {
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EXPECT(test.remove(i));
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}
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}
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TEST_CASE(clear)
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{
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IntrusiveRedBlackTree<int, IntrusiveTest, &IntrusiveTest::m_tree_node> test;
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NonnullOwnPtrVector<IntrusiveTest> m_entries;
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for (size_t i = 0; i < 1000; i++) {
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auto entry = make<IntrusiveTest>(i, i);
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test.insert(*entry);
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m_entries.append(move(entry));
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}
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test.clear();
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EXPECT_EQ(test.size(), 0u);
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}
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TEST_MAIN(RedBlackTree)
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